From f06ccea207713c3e8511ac0e72e9141b079d1908 Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Tue, 1 Jul 2025 16:27:45 -0400 Subject: [PATCH 0001/1566] [DOC-127] MVP for OSS Ray labels Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/index.rst | 9 ++ doc/source/ray-core/scheduling/labels.md | 130 +++++++++++++++++++++++ 2 files changed, 139 insertions(+) create mode 100644 doc/source/ray-core/scheduling/labels.md diff --git a/doc/source/ray-core/scheduling/index.rst b/doc/source/ray-core/scheduling/index.rst index 9fb5bed4f712..7655499e787c 100644 --- a/doc/source/ray-core/scheduling/index.rst +++ b/doc/source/ray-core/scheduling/index.rst @@ -5,6 +5,14 @@ Scheduling For each task or actor, Ray will choose a node to run it and the scheduling decision is based on the following factors. + +Labels +------ + +Labels provide a simplified solution for controlling scheduling for tasks, actors, and placement group bundles using default and custom labels. + +See :doc:`./labels.md`. + .. _ray-scheduling-resources: Resources @@ -127,6 +135,7 @@ More about Ray Scheduling .. toctree:: :maxdepth: 1 + labels resources accelerators placement-group diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md new file mode 100644 index 000000000000..f35c860c2273 --- /dev/null +++ b/doc/source/ray-core/scheduling/labels.md @@ -0,0 +1,130 @@ +--- +description: "Learn about using labels to control how Ray schedules tasks, actors, and placement groups to nodes in your Kubernetes cluster." +--- + +# Use labels to control scheduling + +In Ray version 2.48.0 and above, you can use labels to control scheduling for KubeRay. + +This page provides a conceptual overview and usage instructions for labels. Labels are key-value pairs that provide a human-readable configuration for users to control how Ray schedules tasks, actors, and placement group bundles to specific nodes. + +Ray labels build upon Kubernetes labels, including formatting restrictions. See the [Kubernetes docs on labels and selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/). + +## How do labels work? + +The following is a high-level overview of how you use labels to control scheduling: + +- Ray sets default labels that describe the underlying compute. See [](defaults). +- You define custom labels as key-value pairs. See [](custom). +- You specify *label selectors* in your Ray code to define label requirements. You can specify these requirements at the task, actor, or placement group bundle level. See [](label-selectors). +- Ray schedules tasks, actors or placement group bundles based on the specified label selectors. +- If you're using a dynamic cluster with autoscaler V2 enabled, the cluster scales up to add new nodes from a designated worker group to fulfill label requirements. + +(defaults)= +## Default node labels + +During cluster initilization or as autoscaling events add nodes to your cluster, Ray assigns the following default labels to each node: + +| Label | Description | +| --- | --- | +| `ray.io/node-id` | A unique ID generated for the node. | +| `ray.io/accelerator-type` | The accelerator type of the node, for example `L4`. CPU-only machines have an empty string. | +| `ray.io/market-type` | Indicates whether the node uses `spot` instances or `on-demand` instances. | +| `ray.io/node-group` | The name of the node worker group or `head` for the head node. You specify group names while configuring worker groups. See [](kuberay-config). | +| `ray.io/region` | The cloud region of the node. | +| `ray.io/availability-zone` | The available zone of the node. | + +.. note:: You can override default values using `ray start` parameters. + +The following are examples of default labels: + +```python +"ray.io/market-type": "spot" # Default label specifying the node is a spot instance. +"ray.io/accelerator-type": "" # Default label indicating the machine is CPU-only. +``` + +(custom)= +## Define custom labels + +You can add custom labels to your nodes using the `--labels` or `--labels-file` parameter when running `ray start`. See the following examples: + + + +.. note:: You can't set labels using `ray.init()`. Local Ray clusters do not support labels. + +(label-selectors)= +## Specify label selectors + +You add label selector logic to your Ray code when defining Ray tasks, actors, or placement group bundles. Label selectors define the label requirements for matching your Ray code to a node in your Ray cluster. + +Label selectors specify the following: + +- The key of the label. +- Operator logic for matching. +- The value or values to match on. + +The following table shows the basic syntax for label selector operator logic: + +| Operator | Description | Example syntax | +| --- | --- | --- | +| Equals | Label matches exactly one value. | `{“key”: “value”}` +| Not equal | Label matches anything by one value. | `{“key”: “!value”}` +| In | Label matches on of the provided values. | `{“key”: “in(val1,val2)”}` +| Not in | Label matches none of the provided values. | `{“key”: “!in(val1,val2)”}` + +You can specify one or more label selectors as a dict. When specifying multiple label selectors, the candidate node must meet all requirements. The following example configuration uses a custom label to require an `m5.16xlarge` EC2 instance and a default label to require a spot instance: + +```python +label_selector={"instance_type": "m5.16xlarge", “ray.io/market_type”: “spot”} +``` + +## Specify label requirements for Tasks & Actors + +Use the following syntax to add label selectors to tasks and actors: + +```python +@ray.remote(label_selector={"label_name":"label_value"}) +def f(): + pass +``` + + + +## Specify label requirements for placement group bundles + +Use the `bundle_label_selector` option to add label selector to placement group bundles. See the following examples: + +```python +# All bundles require the same labels: +ray.util.placement_group( + bundles=[{"GPU": 1}, {"GPU": 1}], + bundle_label_selector=[{"ray.io/accelerator-type": "H100"} * 2], +) + +# Bundles require different labels: +ray.util.placement_group( + bundles=[{"CPU": 1}] + [{"GPU": 1} * 2], + bundle_label_selector=[{"ray.io/market-type": "spot"}] + [{"ray.io/accelerator-type": "H100"} * 2] +) +``` + + + +## Monitor nodes using labels + +The Ray dashboard automatically shows the following information: +- Labels for each node. +- Label selectors set for each task, actor, or placement group bundle. + + + +Within a task, you can programmatically obtain the node label from the RuntimeContextAPI using `ray.get_runtime_context().get_node_labels()`. This returns a Python dict. + +You can also access information about node label and label selector information using the state API. + + + From 76e91a08d75344932d5fa317026fda5233a0bb80 Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Tue, 1 Jul 2025 16:51:54 -0400 Subject: [PATCH 0002/1566] added alpha note and some other updates Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/index.rst | 8 ++++++-- doc/source/ray-core/scheduling/labels.md | 2 +- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/doc/source/ray-core/scheduling/index.rst b/doc/source/ray-core/scheduling/index.rst index 7655499e787c..f4e2ddaac9c5 100644 --- a/doc/source/ray-core/scheduling/index.rst +++ b/doc/source/ray-core/scheduling/index.rst @@ -9,9 +9,13 @@ For each task or actor, Ray will choose a node to run it and the scheduling deci Labels ------ -Labels provide a simplified solution for controlling scheduling for tasks, actors, and placement group bundles using default and custom labels. +Labels provide a simplified solution for controlling scheduling for tasks, actors, and placement group bundles using default and custom labels. See :doc:`./labels.md`. -See :doc:`./labels.md`. +Labels are currently offered as an alpha feature. As this feature becomes stable, the Ray team recommends using labels instead of the following patterns: + +- NodeAffinitySchedulingStrategy when `soft=false`. Use the default `ray.io/node-id` label instead. +- The `accelerator_type` option for tasks and actors. Use the default `ray.io/accelerator-type` label instead. +- Custom resources such as the `special_hardware` pattern. Use custom labels instead. .. _ray-scheduling-resources: diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index f35c860c2273..1d043dda1cf6 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -4,7 +4,7 @@ description: "Learn about using labels to control how Ray schedules tasks, actor # Use labels to control scheduling -In Ray version 2.48.0 and above, you can use labels to control scheduling for KubeRay. +In Ray version 2.48.0 and above, you can use labels to control scheduling for KubeRay. Labels are supported as an alpha feature. This page provides a conceptual overview and usage instructions for labels. Labels are key-value pairs that provide a human-readable configuration for users to control how Ray schedules tasks, actors, and placement group bundles to specific nodes. From 2ca8b3f649af509aa346ba34a87dc4f72e9c1980 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 1 Jul 2025 12:12:41 -0700 Subject: [PATCH 0003/1566] [serve] optimize code when user code is on same event loop (#54227) ## Why are these changes needed? Previously we had a lot of code to deal with the user code being run on a separate event loop, e.g. thread-safe message queues. If we assume the user code is now being run on the same event loop, we can make the code path simpler and more performant. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .buildkite/serve.rayci.yml | 14 ++ .../ray/serve/_private/local_testing_mode.py | 2 +- python/ray/serve/_private/replica.py | 133 +++++++++++------- python/ray/serve/tests/test_regression.py | 5 + 4 files changed, 104 insertions(+), 50 deletions(-) diff --git a/.buildkite/serve.rayci.yml b/.buildkite/serve.rayci.yml index 6f65706f2945..716698549aa3 100644 --- a/.buildkite/serve.rayci.yml +++ b/.buildkite/serve.rayci.yml @@ -60,6 +60,20 @@ steps: --build-name servepydantic1build --test-env=EXPECTED_PYTHON_VERSION=3.9 --test-env=EXPECTED_PYDANTIC_VERSION=1.10.12 depends_on: servepydantic1build + - label: ":ray-serve: serve: same event loop tests" + parallelism: 2 + tags: + - serve + - python + instance_type: large + soft_fail: true + commands: + - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve + --except-tags post_wheel_build,gpu,ha_integration + --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 + --build-name servebuild --test-env=EXPECTED_PYTHON_VERSION=3.9 --test-env=RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD=0 + depends_on: "servebuild" + - label: ":ray-serve: serve: python {{matrix.python}} tests ({{matrix.worker_id}})" if: build.pull_request.labels includes "continuous-build" || pipeline.id == "0189e759-8c96-4302-b6b5-b4274406bf89" || pipeline.id == "018f4f1e-1b73-4906-9802-92422e3badaa" tags: diff --git a/python/ray/serve/_private/local_testing_mode.py b/python/ray/serve/_private/local_testing_mode.py index 898ebc2cd72e..e09ad3ff2097 100644 --- a/python/ray/serve/_private/local_testing_mode.py +++ b/python/ray/serve/_private/local_testing_mode.py @@ -312,7 +312,7 @@ def generator_result_callback(item: Any): request_meta, request_args, request_kwargs, - generator_result_callback=generator_result_callback, + enqueue=generator_result_callback, ) else: fut = self._user_callable_wrapper.call_user_method( diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 021b92046b09..ce34eff4deeb 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -1589,22 +1589,26 @@ async def call_http_entrypoint( receive: Receive, ) -> Any: result_queue = MessageQueue() - - # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be - # used to interact with the result queue from the user callable thread. - system_event_loop = asyncio.get_running_loop() user_method_info = self.get_user_method_info(request_metadata.call_method) - async def enq(item: Any): - system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) - if self._run_user_code_in_separate_thread: + # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be + # used to interact with the result queue from the user callable thread. + system_event_loop = asyncio.get_running_loop() + + async def enqueue(item: Any): + system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) + call_future = self._call_http_entrypoint( - user_method_info, scope, receive, enq + user_method_info, scope, receive, enqueue ) else: + + async def enqueue(item: Any): + result_queue.put_nowait(item) + call_future = asyncio.create_task( - self._call_http_entrypoint(user_method_info, scope, receive, enq) + self._call_http_entrypoint(user_method_info, scope, receive, enqueue) ) first_message_peeked = False @@ -1714,35 +1718,32 @@ async def call_user_generator( The user method is called in an asyncio `Task` and places its results on a `result_queue`. This method pulls and yields from the `result_queue`. """ - result_queue = MessageQueue() + if not self._run_user_code_in_separate_thread: + gen = await self._call_user_generator( + request_metadata, request_args, request_kwargs + ) + async for result in gen: + yield result + else: + result_queue = MessageQueue() - # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be - # used to interact with the result queue from the user callable thread. - system_event_loop = asyncio.get_running_loop() + # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be + # used to interact with the result queue from the user callable thread. + system_event_loop = asyncio.get_running_loop() - def _enqueue_thread_safe(item: Any): - system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) + def _enqueue_thread_safe(item: Any): + system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) - if self._run_user_code_in_separate_thread: call_future = self._call_user_generator( request_metadata, request_args, request_kwargs, - generator_result_callback=_enqueue_thread_safe, - ) - else: - call_future = asyncio.create_task( - self._call_user_generator( - request_metadata, - request_args, - request_kwargs, - generator_result_callback=_enqueue_thread_safe, - ) + enqueue=_enqueue_thread_safe, ) - async for messages in result_queue.fetch_messages_from_queue(call_future): - for msg in messages: - yield msg + async for messages in result_queue.fetch_messages_from_queue(call_future): + for msg in messages: + yield msg @_run_user_code async def _call_user_generator( @@ -1751,8 +1752,8 @@ async def _call_user_generator( request_args: Tuple[Any], request_kwargs: Dict[str, Any], *, - generator_result_callback: Optional[Callable] = None, - ) -> Any: + enqueue: Optional[Callable] = None, + ) -> Optional[AsyncGenerator[Any, None]]: """Call a user generator. The `generator_result_callback` is used to communicate the results of generator @@ -1763,29 +1764,63 @@ async def _call_user_generator( """ self._raise_if_not_initialized("_call_user_generator") - logger.info( - f"Started executing request to method '{request_metadata.call_method}'.", - extra={"log_to_stderr": False, "serve_access_log": True}, - ) + request_args = request_args if request_args is not None else tuple() + request_kwargs = request_kwargs if request_kwargs is not None else dict() user_method_info = self.get_user_method_info(request_metadata.call_method) - result, sync_gen_consumed = await self._call_func_or_gen( - user_method_info.callable, - args=request_args, - kwargs=request_kwargs, - is_streaming=True, - generator_result_callback=generator_result_callback, + callable = user_method_info.callable + is_sync_method = ( + inspect.isfunction(callable) or inspect.ismethod(callable) + ) and not ( + inspect.iscoroutinefunction(callable) + or inspect.isasyncgenfunction(callable) ) - return await self._handle_user_method_result( - result, - user_method_info, - is_streaming=True, - is_http_request=False, - sync_gen_consumed=sync_gen_consumed, - generator_result_callback=generator_result_callback, - asgi_args=None, + + logger.info( + f"Started executing request to method '{user_method_info.name}'.", + extra={"log_to_stderr": False, "serve_access_log": True}, ) + async def _call_generator_async() -> AsyncGenerator[Any, None]: + gen = callable(*request_args, **request_kwargs) + if inspect.iscoroutine(gen): + gen = await gen + + if inspect.isgenerator(gen): + for result in gen: + yield result + elif inspect.isasyncgen(gen): + async for result in gen: + yield result + else: + raise TypeError( + f"Called method '{user_method_info.name}' with " + "`handle.options(stream=True)` but it did not return a generator." + ) + + def _call_generator_sync(): + gen = callable(*request_args, **request_kwargs) + if inspect.isgenerator(gen): + for result in gen: + enqueue(result) + else: + raise TypeError( + f"Called method '{user_method_info.name}' with " + "`handle.options(stream=True)` but it did not return a generator." + ) + + if enqueue and is_sync_method and self._run_sync_methods_in_threadpool: + await to_thread.run_sync(_call_generator_sync) + elif enqueue: + + async def gen_coro_wrapper(): + async for result in _call_generator_async(): + enqueue(result) + + await gen_coro_wrapper() + else: + return _call_generator_async() + @_run_user_code async def call_user_method( self, diff --git a/python/ray/serve/tests/test_regression.py b/python/ray/serve/tests/test_regression.py index 51aa3d0cbb60..1f40088b6db9 100644 --- a/python/ray/serve/tests/test_regression.py +++ b/python/ray/serve/tests/test_regression.py @@ -11,6 +11,7 @@ import ray from ray import serve from ray._common.test_utils import SignalActor +from ray.serve._private.constants import RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD from ray.serve.context import _get_global_client from ray.serve.handle import DeploymentHandle @@ -243,6 +244,10 @@ def func(self): assert resp.headers["content-length"] == "9" +@pytest.mark.skipif( + not RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD, + reason="Health check will block if user code is running in the main event loop", +) def test_healthcheck_timeout(serve_instance): # https://github.com/ray-project/ray/issues/24554 From 1b9b1e83d2d05695e1f0c10625b2b09e15c71690 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Tue, 1 Jul 2025 22:05:43 +0200 Subject: [PATCH 0004/1566] [RLlib; Offline RL] Implement Offline Policy Evaluation (OPE) via Importance Sampling. (#53702) Signed-off-by: Douglas Strodtman --- rllib/algorithms/algorithm.py | 30 +- rllib/algorithms/algorithm_config.py | 42 ++ rllib/env/single_agent_env_runner.py | 4 +- rllib/offline/offline_evaluation_runner.py | 17 +- .../offline_evaluation_runner_group.py | 25 +- .../offline_policy_evaluation_runner.py | 637 ++++++++++++++++++ .../test_offline_evaluation_runner_group.py | 1 + rllib/tests/test_dependency_torch.py | 1 + .../bc/cartpole_bc_with_offline_evaluation.py | 1 + rllib/utils/runners/runner_group.py | 1 + 10 files changed, 738 insertions(+), 21 deletions(-) create mode 100644 rllib/offline/offline_policy_evaluation_runner.py diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index 51f5e04570ec..981375926479 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -872,7 +872,7 @@ def setup(self, config: AlgorithmConfig) -> None: self.offline_eval_runner_group: OfflineEvaluationRunnerGroup = OfflineEvaluationRunnerGroup( config=self.evaluation_config, # Do not create a local runner such that the dataset can be split. - local_runner=False, + local_runner=self.config.num_offline_eval_runners == 0, # Provide the `RLModule`'s state for the `OfflinePreLearner`s. module_state=rl_module_state[COMPONENT_RL_MODULE], module_spec=module_spec, @@ -1134,10 +1134,13 @@ def evaluate_offline(self): ) # Evaluate with fixed duration. - self._evaluate_offline_with_fixed_duration() + if self.offline_eval_runner_group.num_healthy_remote_runners > 0: + self._evaluate_offline_with_fixed_duration() + else: + self._evaluate_offline_on_local_runner() # Reduce the evaluation results. eval_results = self.metrics.peek( - ("EVALUATION_RESULTS", "OFFLINE_EVAL_RUNNER_RESULTS"), default={} + (EVALUATION_RESULTS, OFFLINE_EVAL_RUNNER_RESULTS), default={} ) # Trigger `on_evaluate_offline_end` callback. @@ -1153,7 +1156,7 @@ def evaluate_offline(self): ) # Also return the results here for convenience. - return {EVALUATION_RESULTS: {OFFLINE_EVAL_RUNNER_RESULTS: eval_results}} + return {OFFLINE_EVAL_RUNNER_RESULTS: eval_results} @PublicAPI def evaluate( @@ -1363,6 +1366,23 @@ def _evaluate_with_custom_eval_function(self) -> Tuple[ResultDict, int, int]: return eval_results, env_steps, agent_steps + def _evaluate_offline_on_local_runner(self): + # How many episodes/timesteps do we need to run? + unit = "batches" + duration = ( + self.config.offline_evaluation_duration + * self.config.dataset_num_iters_per_eval_runner + ) + + logger.info(f"Evaluating current state of {self} for {duration} {unit}.") + + results = self.offline_eval_runner_group.local_runner.run() + + self.metrics.aggregate( + [results], + key=(EVALUATION_RESULTS, OFFLINE_EVAL_RUNNER_RESULTS), + ) + def _evaluate_on_local_env_runner(self, env_runner): if hasattr(env_runner, "input_reader") and env_runner.input_reader is None: raise ValueError( @@ -1651,6 +1671,8 @@ def _offline_eval_runner_remote(runner, iter): if iter != self.iteration: continue all_metrics.append(met) + # Note, the `dataset_num_iters_per_eval_runner` must be smaller than + # `offline_evaluation_duration` // `num_offline_eval_runners`. num_units_done += ( met[ALL_MODULES][DATASET_NUM_ITERS_EVALUATED].peek() if DATASET_NUM_ITERS_EVALUATED in met[ALL_MODULES] diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 9908bab2b361..3d9ce47814ad 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -533,6 +533,8 @@ def __init__(self, algo_class: Optional[type] = None): # Offline evaluation. self.offline_evaluation_interval = None self.num_offline_eval_runners = 0 + self.offline_evaluation_type: str = None + self.offline_eval_runner_class = None # TODO (simon): Only `_offline_evaluate_with_fixed_duration` works. Also, # decide, if we use `offline_evaluation_duration` or # `dataset_num_iters_per_offline_eval_runner`. Should the user decide here? @@ -2705,6 +2707,8 @@ def evaluation( # Offline evaluation. offline_evaluation_interval: Optional[int] = NotProvided, num_offline_eval_runners: Optional[int] = NotProvided, + offline_evaluation_type: Optional[Callable] = NotProvided, + offline_eval_runner_class: Optional[Callable] = NotProvided, offline_loss_for_module_fn: Optional[Callable] = NotProvided, offline_eval_batch_size_per_runner: Optional[int] = NotProvided, dataset_num_iters_per_offline_eval_runner: Optional[int] = NotProvided, @@ -2829,6 +2833,13 @@ def evaluation( for parallel evaluation. Setting this to 0 forces sampling to be done in the local OfflineEvaluationRunner (main process or the Algorithm's actor when using Tune). + offline_evaluation_type: Type of offline evaluation to run. Either `"eval_loss"` + for evaluating the validation loss of the policy, `"is"` for importance + sampling, or `"pdis"` for per-decision importance sampling. If you want to + implement your own offline evaluation method write an `OfflineEvaluationRunner` + and use the `AlgorithmConfig.offline_eval_runner_class`. + offline_eval_runner_class: An `OfflineEvaluationRunner` class that implements + custom offline evaluation logic. offline_loss_for_module_fn: A callable to compute the loss per `RLModule` in offline evaluation. If not provided the training loss function ( `Learner.compute_loss_for_module`) is used. The signature must be ( @@ -2975,6 +2986,10 @@ def evaluation( self.offline_evaluation_interval = offline_evaluation_interval if num_offline_eval_runners is not NotProvided: self.num_offline_eval_runners = num_offline_eval_runners + if offline_evaluation_type is not NotProvided: + self.offline_evaluation_type = offline_evaluation_type + if offline_eval_runner_class is not NotProvided: + self.offline_eval_runner_cls = offline_eval_runner_class if offline_loss_for_module_fn is not NotProvided: self.offline_loss_for_module_fn = offline_loss_for_module_fn if offline_eval_batch_size_per_runner is not NotProvided: @@ -5282,6 +5297,33 @@ def _validate_offline_settings(self): "recorded episodes cannot be read in for training." ) + # Offline evaluation. + from ray.rllib.offline.offline_policy_evaluation_runner import ( + OfflinePolicyEvaluationTypes, + ) + + offline_eval_types = list(OfflinePolicyEvaluationTypes) + if ( + self.offline_evaluation_type + and self.offline_evaluation_type != "eval_loss" + and self.offline_evaluation_type not in OfflinePolicyEvaluationTypes + ): + self._value_error( + f"Unknown offline evaluation type: {self.offline_evaluation_type}." + "Available types of offline evaluation are either `'eval_loss' to evaluate " + f"the training loss on a validation dataset or {offline_eval_types}." + ) + + from ray.rllib.offline.offline_evaluation_runner import OfflineEvaluationRunner + + if self.prelearner_class and not issubclass( + self.prelearner_class, OfflineEvaluationRunner + ): + self._value_error( + "Unknown `offline_eval_runner_class`. OfflineEvaluationRunner class needs to inherit " + "from `OfflineEvaluationRunner` class." + ) + @property def is_online(self) -> bool: """Defines if this config is for online RL. diff --git a/rllib/env/single_agent_env_runner.py b/rllib/env/single_agent_env_runner.py index 901b255935d5..05db62932cc3 100644 --- a/rllib/env/single_agent_env_runner.py +++ b/rllib/env/single_agent_env_runner.py @@ -869,11 +869,11 @@ def _log_episode_metrics(self, length, ret, sec): self.metrics.log_value(EPISODE_DURATION_SEC_MEAN, sec, window=win) # Per-agent returns. self.metrics.log_value( - ("agent_episode_returns_mean", DEFAULT_AGENT_ID), ret, window=win + ("agent_episode_return_mean", DEFAULT_AGENT_ID), ret, window=win ) # Per-RLModule returns. self.metrics.log_value( - ("module_episode_returns_mean", DEFAULT_MODULE_ID), ret, window=win + ("module_episode_return_mean", DEFAULT_MODULE_ID), ret, window=win ) # For some metrics, log min/max as well. diff --git a/rllib/offline/offline_evaluation_runner.py b/rllib/offline/offline_evaluation_runner.py index e4cafc07dd9f..a8dc374ab90f 100644 --- a/rllib/offline/offline_evaluation_runner.py +++ b/rllib/offline/offline_evaluation_runner.py @@ -7,8 +7,6 @@ from ray.data.iterator import DataIterator from ray.rllib.core import ( ALL_MODULES, - COMPONENT_ENV_TO_MODULE_CONNECTOR, - COMPONENT_MODULE_TO_ENV_CONNECTOR, COMPONENT_RL_MODULE, ) from ray.rllib.core.rl_module.apis import SelfSupervisedLossAPI @@ -64,6 +62,7 @@ def __init__( # This has to be defined after we have a `self.config`. self._loss_for_module_fn = types.MethodType(self.get_loss_for_module_fn(), self) + @override(Runner) def run( self, explore: bool = False, @@ -224,14 +223,6 @@ def get_state( **kwargs, ) state[WEIGHTS_SEQ_NO] = self._weights_seq_no - if self._check_component( - COMPONENT_ENV_TO_MODULE_CONNECTOR, components, not_components - ): - state[COMPONENT_ENV_TO_MODULE_CONNECTOR] = self._env_to_module.get_state() - if self._check_component( - COMPONENT_MODULE_TO_ENV_CONNECTOR, components, not_components - ): - state[COMPONENT_MODULE_TO_ENV_CONNECTOR] = self._module_to_env.get_state() return state @@ -239,6 +230,7 @@ def _convert_to_tensor(self, struct) -> TensorType: """Converts structs to a framework-specific tensor.""" return convert_to_torch_tensor(struct) + @override(Runner) def stop(self) -> None: """Releases all resources used by this EnvRunner. @@ -247,6 +239,7 @@ def stop(self) -> None: """ pass + @override(Runner) def __del__(self) -> None: """If this Actor is deleted, clears all resources used by it.""" pass @@ -333,10 +326,6 @@ def compute_eval_loss_for_module( @override(Checkpointable) def set_state(self, state: StateDict) -> None: - if COMPONENT_ENV_TO_MODULE_CONNECTOR in state: - self._env_to_module.set_state(state[COMPONENT_ENV_TO_MODULE_CONNECTOR]) - if COMPONENT_MODULE_TO_ENV_CONNECTOR in state: - self._module_to_env.set_state(state[COMPONENT_MODULE_TO_ENV_CONNECTOR]) # Update the RLModule state. if COMPONENT_RL_MODULE in state: diff --git a/rllib/offline/offline_evaluation_runner_group.py b/rllib/offline/offline_evaluation_runner_group.py index 16b64cb238b0..2f92e2d1aabf 100644 --- a/rllib/offline/offline_evaluation_runner_group.py +++ b/rllib/offline/offline_evaluation_runner_group.py @@ -7,6 +7,11 @@ from ray.rllib.env import INPUT_ENV_SPACES from ray.rllib.offline.offline_data import OfflineData from ray.rllib.offline.offline_evaluation_runner import OfflineEvaluationRunner +from ray.rllib.offline.offline_policy_evaluation_runner import ( + OfflinePolicyEvaluationRunner, + OfflinePolicyPreEvaluator, +) +from ray.rllib.offline.offline_prelearner import OfflinePreLearner from ray.rllib.utils.annotations import override from ray.rllib.utils.runners.runner_group import RunnerGroup @@ -57,6 +62,22 @@ def _setup( **kwargs: Dict[str, Any], ) -> None: + # Define the offline evaluation runner class. + self._runner_cls = config.offline_eval_runner_class or ( + OfflineEvaluationRunner + if config.offline_evaluation_type == "eval_loss" + else OfflinePolicyEvaluationRunner + ) + # Define + self._pre_learner_or_evaluator_cls = self.config.prelearner_class or ( + OfflinePreLearner + if config.offline_evaluation_type == "eval_loss" + else OfflinePolicyPreEvaluator + ) + self.config._is_frozen = False + self.config.prelearner_class = self._pre_learner_or_evaluator_cls + self.config._is_frozen = True + # We can either run on a local runner or on remote runners only b/c # streaming split needs remote runners. if num_runners > 0 and local_runner: @@ -73,6 +94,8 @@ def _setup( # Do not validate until the `DataIterators` are distributed. validate=False, module_spec=module_spec, + module_state=module_state, + spaces=spaces, ) # Setup the evaluation offline dataset and return an iterator. @@ -124,7 +147,7 @@ def runner_health_probe_timeout_s(self): @property def runner_cls(self) -> Callable: """Class for each runner.""" - return OfflineEvaluationRunner + return self._runner_cls @property def num_runners(self) -> int: diff --git a/rllib/offline/offline_policy_evaluation_runner.py b/rllib/offline/offline_policy_evaluation_runner.py new file mode 100644 index 000000000000..2e2f63e9d7ff --- /dev/null +++ b/rllib/offline/offline_policy_evaluation_runner.py @@ -0,0 +1,637 @@ +import gymnasium as gym +import math +import numpy +import ray + +from enum import Enum +from typing import ( + Collection, + Dict, + Iterable, + List, + Optional, + TYPE_CHECKING, + Union, +) + +from ray.data.iterator import DataIterator +from ray.rllib.connectors.env_to_module import EnvToModulePipeline +from ray.rllib.core import ( + ALL_MODULES, + DEFAULT_AGENT_ID, + DEFAULT_MODULE_ID, + COMPONENT_ENV_TO_MODULE_CONNECTOR, + COMPONENT_RL_MODULE, +) +from ray.rllib.core.columns import Columns +from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec +from ray.rllib.env.single_agent_episode import SingleAgentEpisode +from ray.rllib.offline.offline_prelearner import OfflinePreLearner, SCHEMA +from ray.rllib.policy.sample_batch import MultiAgentBatch +from ray.rllib.utils.annotations import override +from ray.rllib.utils.checkpoints import Checkpointable +from ray.rllib.utils.framework import get_device, try_import_torch +from ray.rllib.utils.metrics import ( + DATASET_NUM_ITERS_EVALUATED, + DATASET_NUM_ITERS_EVALUATED_LIFETIME, + EPISODE_LEN_MAX, + EPISODE_LEN_MEAN, + EPISODE_LEN_MIN, + EPISODE_RETURN_MAX, + EPISODE_RETURN_MEAN, + EPISODE_RETURN_MIN, + MODULE_SAMPLE_BATCH_SIZE_MEAN, + NUM_ENV_STEPS_SAMPLED, + NUM_ENV_STEPS_SAMPLED_LIFETIME, + NUM_MODULE_STEPS_SAMPLED, + NUM_MODULE_STEPS_SAMPLED_LIFETIME, + OFFLINE_SAMPLING_TIMER, + WEIGHTS_SEQ_NO, +) +from ray.rllib.utils.minibatch_utils import MiniBatchRayDataIterator +from ray.rllib.utils.runners.runner import Runner +from ray.rllib.utils.torch_utils import convert_to_torch_tensor +from ray.rllib.utils.typing import ( + DeviceType, + EpisodeID, + StateDict, + TensorType, +) + +if TYPE_CHECKING: + from ray.rllib.algorithms.algorithm_config import AlgorithmConfig + +torch, _ = try_import_torch() + +TOTAL_EVAL_LOSS_KEY = "total_eval_loss" + + +# TODO (simon): Implement more ... +class OfflinePolicyEvaluationTypes(str, Enum): + """Defines the offline policy evaluation types. + + IS: Importance Sampling. + PDIS: Per-Decision Importance Sampling. In contrast to IS this method + weighs each reward and not the return as a whole. As a result it + usually exhibits lower variance. + """ + + IS = "is" + PDIS = "pdis" + + +class OfflinePolicyPreEvaluator(OfflinePreLearner): + def __call__(self, batch: Dict[str, numpy.ndarray]) -> Dict[str, numpy.ndarray]: + # If we directly read in episodes we just convert to list. + if self.input_read_episodes: + # Import `msgpack` for decoding. + import msgpack + import msgpack_numpy as mnp + + # Read the episodes and decode them. + episodes: List[SingleAgentEpisode] = [ + SingleAgentEpisode.from_state( + msgpack.unpackb(state, object_hook=mnp.decode) + ) + for state in batch["item"] + ] + # Ensure that all episodes are done and no duplicates are in the batch. + episodes = self._validate_episodes(episodes) + # Add the episodes to the buffer. + self.episode_buffer.add(episodes) + # TODO (simon): Refactor into a single code block for both cases. + episodes = self.episode_buffer.sample( + num_items=self.config.train_batch_size_per_learner, + batch_length_T=self.config.model_config.get("max_seq_len", 0) + if self._module.is_stateful() + else None, + n_step=self.config.get("n_step", 1) or 1, + # TODO (simon): This can be removed as soon as DreamerV3 has been + # cleaned up, i.e. can use episode samples for training. + sample_episodes=True, + to_numpy=True, + ) + # Else, if we have old stack `SampleBatch`es. + elif self.input_read_sample_batches: + episodes: List[ + SingleAgentEpisode + ] = OfflinePreLearner._map_sample_batch_to_episode( + self._is_multi_agent, + batch, + to_numpy=True, + schema=SCHEMA | self.config.input_read_schema, + input_compress_columns=self.config.input_compress_columns, + )[ + "episodes" + ] + # Ensure that all episodes are done and no duplicates are in the batch. + episodes = self._validate_episodes(episodes) + # Add the episodes to the buffer. + self.episode_buffer.add(episodes) + # Sample steps from the buffer. + episodes = self.episode_buffer.sample( + num_items=self.config.train_batch_size_per_learner, + batch_length_T=self.config.model_config.get("max_seq_len", 0) + if self._module.is_stateful() + else None, + n_step=self.config.get("n_step", 1) or 1, + # TODO (simon): This can be removed as soon as DreamerV3 has been + # cleaned up, i.e. can use episode samples for training. + sample_episodes=True, + to_numpy=True, + ) + # Otherwise we map the batch to episodes. + else: + episodes: List[SingleAgentEpisode] = self._map_to_episodes( + self._is_multi_agent, + batch, + schema=SCHEMA | self.config.input_read_schema, + to_numpy=False, + input_compress_columns=self.config.input_compress_columns, + observation_space=self.observation_space, + action_space=self.action_space, + )["episodes"] + + episode_dicts = [] + for episode in episodes: + # Note, we expect users to provide terminated episodes in `SingleAgentEpisode` + # or `SampleBatch` format. Otherwise computation of episode returns will be + # biased. + episode_dict = {} + episode_dict[Columns.OBS] = episode.get_observations(slice(0, len(episode))) + episode_dict[Columns.ACTIONS] = episode.get_actions() + episode_dict[Columns.REWARDS] = episode.get_rewards() + episode_dict[Columns.ACTION_LOGP] = episode.get_extra_model_outputs( + key=Columns.ACTION_LOGP + ) + episode_dicts.append(episode_dict) + + return {"episodes": episode_dicts} + + +class OfflinePolicyEvaluationRunner(Runner, Checkpointable): + def __init__( + self, + config: "AlgorithmConfig", + module_spec: Optional[MultiRLModuleSpec] = None, + **kwargs, + ): + + # This needs to be defined before we call the `Runner.__init__` + # b/c the latter calls the `make_module` and then needs the spec. + # TODO (simon): Check, if we make this a generic attribute. + self.__module_spec: MultiRLModuleSpec = module_spec + self.__dataset_iterator = None + self.__batch_iterator = None + + Runner.__init__(self, config=config, **kwargs) + Checkpointable.__init__(self) + + # This has to be defined after we have a `self.config`. + self.__spaces = kwargs.get("spaces") + self.__env_to_module = self.config.build_env_to_module_connector( + spaces=self._spaces, device=self._device + ) + self.__offline_evaluation_type = OfflinePolicyEvaluationTypes( + self.config["offline_evaluation_type"] + ) + + def run( + self, + explore: bool = False, + train: bool = True, + **kwargs, + ) -> None: + + if self.__dataset_iterator is None: + raise ValueError( + f"{self} doesn't have a data iterator. Can't call `run` on " + "`OfflinePolicyEvaluationRunner`." + ) + + if not self._batch_iterator: + self.__batch_iterator = self._create_batch_iterator( + **self.config.iter_batches_kwargs + ) + + # Log current weight seq no. + self.metrics.log_value( + key=WEIGHTS_SEQ_NO, + value=self._weights_seq_no, + window=1, + ) + + with self.metrics.log_time(OFFLINE_SAMPLING_TIMER): + if explore is None: + explore = self.config.explore + + # Evaluate on offline data. + return self._evaluate( + explore=explore, + train=train, + ) + + def _create_batch_iterator(self, **kwargs) -> Iterable: + + # Import the torch utils here b/c Ray Air imports `torch`` directly. + from ray.air._internal.torch_utils import ( + convert_ndarray_batch_to_torch_tensor_batch, + ) + + # Define the collate function that converts the flattened dictionary + # to a `MultiAgentBatch` with Tensors. + def _collate_fn( + _batch: Dict[str, numpy.ndarray] + ) -> Dict[EpisodeID, Dict[str, numpy.ndarray]]: + + return _batch["episodes"] + + # Define the finalize function that makes the host-to-device transfer. + def _finalize_fn( + _batch: Dict[EpisodeID, Dict[str, numpy.ndarray]] + ) -> Dict[EpisodeID, Dict[str, TensorType]]: + + return [ + convert_ndarray_batch_to_torch_tensor_batch( + episode, device=self._device, dtypes=torch.float32 + ) + for episode in _batch + ] + + # Return a minibatch iterator. + return MiniBatchRayDataIterator( + iterator=self._dataset_iterator, + collate_fn=_collate_fn, + finalize_fn=_finalize_fn, + minibatch_size=self.config.offline_eval_batch_size_per_runner, + num_iters=self.config.dataset_num_iters_per_eval_runner, + **kwargs, + ) + + def _evaluate( + self, + explore: bool, + train: bool, + ) -> None: + + self.metrics.activate_tensor_mode() + + num_env_steps = 0 + for iteration, tensor_minibatch in enumerate(self._batch_iterator): + for episode in tensor_minibatch: + action_dist_cls = self.module[ + DEFAULT_MODULE_ID + ].get_inference_action_dist_cls() + # TODO (simon): It needs here the `EnvToModule` pipeline. + action_logits = self.module[DEFAULT_MODULE_ID].forward_inference( + episode + )[Columns.ACTION_DIST_INPUTS] + # TODO (simon): It might need here the ModuleToEnv pipeline until the + # `GetActions` piece. + action_dist = action_dist_cls.from_logits(action_logits) + actions = action_dist.sample() + action_logp = action_dist.logp(actions) + # If we have action log-probs use them. + if Columns.ACTION_LOGP in episode: + behavior_action_logp = episode[Columns.ACTION_LOGP] + # Otherwise approximate them via the current action distribution. + else: + behavior_action_logp = action_dist.logp(episode[Columns.ACTIONS]) + + # Compute the weights. + if self.__offline_evaluation_type == OfflinePolicyEvaluationTypes.IS: + weight = torch.prod( + torch.exp(action_logp) / torch.exp(behavior_action_logp) + ) + # Note, we use the (un)-discounted return to compare with the `EnvRunner` + # returns. + episode_return = episode[Columns.REWARDS].sum() + offline_return = (weight * episode_return).item() + elif ( + self.__offline_evaluation_type == OfflinePolicyEvaluationTypes.PDIS + ): + weights = torch.exp(action_logp) / torch.exp(behavior_action_logp) + offline_return = torch.dot(weights, episode[Columns.REWARDS]).item() + + episode_len = episode[Columns.REWARDS].shape[0] + 1 + num_env_steps += episode_len + + self._log_episode_metrics(episode_len, offline_return) + + self._log_batch_metrics(len(tensor_minibatch), num_env_steps) + + # Record the number of batches pulled from the dataset. + self.metrics.log_value( + (ALL_MODULES, DATASET_NUM_ITERS_EVALUATED), + iteration + 1, + reduce="sum", + clear_on_reduce=True, + ) + self.metrics.log_value( + (ALL_MODULES, DATASET_NUM_ITERS_EVALUATED_LIFETIME), + iteration + 1, + reduce="sum", + ) + + self.metrics.deactivate_tensor_mode() + + return self.metrics.reduce() + + @override(Checkpointable) + def get_ctor_args_and_kwargs(self): + return ( + (), # *args + {"config": self.config}, # **kwargs + ) + + @override(Checkpointable) + def get_state( + self, + components: Optional[Union[str, Collection[str]]] = None, + *, + not_components: Optional[Union[str, Collection[str]]] = None, + **kwargs, + ) -> StateDict: + state = { + NUM_ENV_STEPS_SAMPLED_LIFETIME: ( + self.metrics.peek(NUM_ENV_STEPS_SAMPLED_LIFETIME, default=0) + ), + } + + if self._check_component(COMPONENT_RL_MODULE, components, not_components): + state[COMPONENT_RL_MODULE] = self.module.get_state( + components=self._get_subcomponents(COMPONENT_RL_MODULE, components), + not_components=self._get_subcomponents( + COMPONENT_RL_MODULE, not_components + ), + **kwargs, + ) + state[WEIGHTS_SEQ_NO] = self._weights_seq_no + if self._check_component( + COMPONENT_ENV_TO_MODULE_CONNECTOR, components, not_components + ): + state[COMPONENT_ENV_TO_MODULE_CONNECTOR] = self._env_to_module.get_state() + + return state + + def _convert_to_tensor(self, struct) -> TensorType: + """Converts structs to a framework-specific tensor.""" + return convert_to_torch_tensor(struct) + + def stop(self) -> None: + """Releases all resources used by this EnvRunner. + + For example, when using a gym.Env in this EnvRunner, you should make sure + that its `close()` method is called. + """ + pass + + def __del__(self) -> None: + """If this Actor is deleted, clears all resources used by it.""" + pass + + @override(Runner) + def assert_healthy(self): + """Checks that self.__init__() has been completed properly. + + Ensures that the instances has a `MultiRLModule` and an + environment defined. + + Raises: + AssertionError: If the EnvRunner Actor has NOT been properly initialized. + """ + # Make sure, we have built our RLModule properly and assigned a dataset iterator. + assert self._dataset_iterator and hasattr(self, "module") + + @override(Runner) + def get_metrics(self): + return self.metrics.reduce() + + def _convert_batch_type( + self, + batch: MultiAgentBatch, + to_device: bool = True, + pin_memory: bool = False, + use_stream: bool = False, + ) -> MultiAgentBatch: + batch = convert_to_torch_tensor( + batch.policy_batches, + device=self._device if to_device else None, + pin_memory=pin_memory, + use_stream=use_stream, + ) + # TODO (sven): This computation of `env_steps` is not accurate! + length = max(len(b) for b in batch.values()) + batch = MultiAgentBatch(batch, env_steps=length) + return batch + + @override(Checkpointable) + def set_state(self, state: StateDict) -> None: + if COMPONENT_ENV_TO_MODULE_CONNECTOR in state: + self._env_to_module.set_state(state[COMPONENT_ENV_TO_MODULE_CONNECTOR]) + + # Update the RLModule state. + if COMPONENT_RL_MODULE in state: + # A missing value for WEIGHTS_SEQ_NO or a value of 0 means: Force the + # update. + weights_seq_no = state.get(WEIGHTS_SEQ_NO, 0) + + # Only update the weigths, if this is the first synchronization or + # if the weights of this `EnvRunner` lacks behind the actual ones. + if weights_seq_no == 0 or self._weights_seq_no < weights_seq_no: + rl_module_state = state[COMPONENT_RL_MODULE] + if isinstance(rl_module_state, ray.ObjectRef): + rl_module_state = ray.get(rl_module_state) + self.module.set_state(rl_module_state) + + # Update our weights_seq_no, if the new one is > 0. + if weights_seq_no > 0: + self._weights_seq_no = weights_seq_no + + # Update our lifetime counters. + # TODO (simon): Create extra metrics. + if NUM_ENV_STEPS_SAMPLED_LIFETIME in state: + self.metrics.set_value( + key=NUM_ENV_STEPS_SAMPLED_LIFETIME, + value=state[NUM_ENV_STEPS_SAMPLED_LIFETIME], + reduce="sum", + with_throughput=True, + ) + + def _log_episode_metrics(self, episode_len: int, episode_return: float) -> None: + """Logs episode metrics for each episode.""" + + # Log general episode metrics. + # Use the configured window, but factor in the parallelism of the + # `OfflinePolicyEvaluationRunners`. As a result, we only log the last + # `window / num_env_runners` steps here, b/c everything gets + # parallel-merged in the Algorithm process. + win = max( + 1, + int( + math.ceil( + self.config.metrics_num_episodes_for_smoothing + / (self.config.num_offline_eval_runners or 1) + ) + ), + ) + self.metrics.log_value(EPISODE_LEN_MEAN, episode_len, window=win) + self.metrics.log_value(EPISODE_RETURN_MEAN, episode_return, window=win) + # Per-agent returns. + self.metrics.log_value( + ("agent_episode_return_mean", DEFAULT_AGENT_ID), episode_return, window=win + ) + # Per-RLModule returns. + self.metrics.log_value( + ("module_episode_return_mean", DEFAULT_MODULE_ID), + episode_return, + window=win, + ) + + # For some metrics, log min/max as well. + self.metrics.log_value(EPISODE_LEN_MIN, episode_len, reduce="min", window=win) + self.metrics.log_value( + EPISODE_RETURN_MIN, episode_return, reduce="min", window=win + ) + self.metrics.log_value(EPISODE_LEN_MAX, episode_len, reduce="max", window=win) + self.metrics.log_value( + EPISODE_RETURN_MAX, episode_return, reduce="max", window=win + ) + + def _log_batch_metrics(self, batch_size: int, num_env_steps: int): + """Logs batch metrics for each mini batch.""" + + # Log weights seq no for this batch. + self.metrics.log_value( + (DEFAULT_MODULE_ID, WEIGHTS_SEQ_NO), + self._weights_seq_no, + window=1, + ) + + # Log average batch size (for each module). + self.metrics.log_value( + key=(DEFAULT_MODULE_ID, MODULE_SAMPLE_BATCH_SIZE_MEAN), + value=batch_size, + ) + # Log module steps (for each module). + self.metrics.log_value( + key=(DEFAULT_MODULE_ID, NUM_MODULE_STEPS_SAMPLED), + value=num_env_steps, + reduce="sum", + clear_on_reduce=True, + ) + self.metrics.log_value( + key=(DEFAULT_MODULE_ID, NUM_MODULE_STEPS_SAMPLED_LIFETIME), + value=num_env_steps, + reduce="sum", + ) + # Log module steps (sum of all modules). + self.metrics.log_value( + key=(ALL_MODULES, NUM_MODULE_STEPS_SAMPLED), + value=num_env_steps, + reduce="sum", + clear_on_reduce=True, + ) + self.metrics.log_value( + key=(ALL_MODULES, NUM_MODULE_STEPS_SAMPLED_LIFETIME), + value=num_env_steps, + reduce="sum", + ) + # Log env steps (all modules). + self.metrics.log_value( + key=(ALL_MODULES, NUM_ENV_STEPS_SAMPLED), + value=num_env_steps, + reduce="sum", + clear_on_reduce=True, + ) + self.metrics.log_value( + key=(ALL_MODULES, NUM_ENV_STEPS_SAMPLED_LIFETIME), + value=num_env_steps, + reduce="sum", + with_throughput=True, + ) + + @override(Runner) + def set_device(self): + try: + self.__device = get_device( + self.config, + 0 + if not self.worker_index + else self.config.num_gpus_per_offline_eval_runner, + ) + except NotImplementedError: + self.__device = None + + @override(Runner) + def make_module(self): + try: + from ray.rllib.env import INPUT_ENV_SPACES + + if not self._module_spec: + self.__module_spec = self.config.get_multi_rl_module_spec( + # Note, usually we have no environemnt in case of offline evaluation. + env=self.config.env, + spaces={ + INPUT_ENV_SPACES: ( + self.config.observation_space, + self.config.action_space, + ) + }, + inference_only=self.config.offline_eval_rl_module_inference_only, + ) + # Build the module from its spec. + self.module = self._module_spec.build() + # TODO (simon): Implement GPU inference. + # Move the RLModule to our device. + # TODO (sven): In order to make this framework-agnostic, we should maybe + # make the MultiRLModule.build() method accept a device OR create an + # additional `(Multi)RLModule.to()` override. + + self.module.foreach_module( + lambda mid, mod: ( + mod.to(self._device) if isinstance(mod, torch.nn.Module) else mod + ) + ) + + # If `AlgorithmConfig.get_multi_rl_module_spec()` is not implemented, this env runner + # will not have an RLModule, but might still be usable with random actions. + except NotImplementedError: + self.module = None + + @property + def _dataset_iterator(self) -> DataIterator: + """Returns the dataset iterator.""" + return self.__dataset_iterator + + def set_dataset_iterator(self, iterator): + """Sets the dataset iterator.""" + self.__dataset_iterator = iterator + + @property + def _batch_iterator(self) -> MiniBatchRayDataIterator: + return self.__batch_iterator + + @property + def _device(self) -> DeviceType: + return self.__device + + @property + def _module_spec(self) -> MultiRLModuleSpec: + """Returns the `MultiRLModuleSpec` of this `Runner`.""" + return self.__module_spec + + @property + def _spaces(self) -> Dict[str, gym.spaces.Space]: + """Returns the spaces of thsi `Runner`.""" + return self.__spaces + + @property + def _env_to_module(self) -> EnvToModulePipeline: + """Returns the env-to-module pipeline of this `Runner`.""" + return self.__env_to_module + + @property + def _offline_evaluation_type(self) -> Enum: + """Returns the offline evaluation type of this `Runner`.""" + return self.__offline_evaluation_type diff --git a/rllib/offline/tests/test_offline_evaluation_runner_group.py b/rllib/offline/tests/test_offline_evaluation_runner_group.py index 6fe6791cc52c..fe402261a40b 100644 --- a/rllib/offline/tests/test_offline_evaluation_runner_group.py +++ b/rllib/offline/tests/test_offline_evaluation_runner_group.py @@ -44,6 +44,7 @@ def setUp(self) -> None: ) .evaluation( num_offline_eval_runners=2, + offline_evaluation_type="eval_loss", offline_eval_batch_size_per_runner=256, ) ) diff --git a/rllib/tests/test_dependency_torch.py b/rllib/tests/test_dependency_torch.py index bcd720a6c7aa..235ee833d701 100755 --- a/rllib/tests/test_dependency_torch.py +++ b/rllib/tests/test_dependency_torch.py @@ -3,6 +3,7 @@ import os import sys + if __name__ == "__main__": # Do not import torch for testing purposes. os.environ["RLLIB_TEST_NO_TORCH_IMPORT"] = "1" diff --git a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py index 97bae9032435..028e70a44d7b 100644 --- a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py +++ b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py @@ -98,6 +98,7 @@ evaluation_interval=1, evaluation_parallel_to_training=False, offline_evaluation_interval=1, + offline_evaluation_type="eval_loss", num_offline_eval_runners=args.num_offline_eval_runners, num_gpus_per_offline_eval_runner=args.num_gpus_per_offline_eval_runner, offline_eval_batch_size_per_runner=128, diff --git a/rllib/utils/runners/runner_group.py b/rllib/utils/runners/runner_group.py index 9a82e4c97480..7eb01ab37823 100644 --- a/rllib/utils/runners/runner_group.py +++ b/rllib/utils/runners/runner_group.py @@ -135,6 +135,7 @@ def _setup( runner_index=0, num_runners=num_runners, config=self._local_config, + **kwargs, ) def add_runners(self, num_runners: int, validate: bool = False, **kwargs) -> None: From bab404e7ee8afeb9338f1b177fa33c466ffea764 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 1 Jul 2025 15:57:28 -0500 Subject: [PATCH 0005/1566] [core] Add timeouts to `test_scheduling.py::test_hybrid_policy` (#54176) This test sometimes hangs/times out in CI: https://buildkite.com/ray-project/postmerge/builds/11135#0197b3db-8451-4e3c-b30f-a298e408b251/177-3110 Added timeouts to the `ray.get` calls as well so the test won't hang for as long and we will know when it hangs. I've also made the test less stressful by reducing the number of CPUs per node from 10 -> 4. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_scheduling.py | 74 ++++++++++++----------------- 1 file changed, 30 insertions(+), 44 deletions(-) diff --git a/python/ray/tests/test_scheduling.py b/python/ray/tests/test_scheduling.py index 7409e45f9097..8ec942012d55 100644 --- a/python/ray/tests/test_scheduling.py +++ b/python/ray/tests/test_scheduling.py @@ -62,22 +62,19 @@ def f(): @pytest.mark.skipif(sys.platform == "win32", reason="Times out on Windows") -def test_hybrid_policy(ray_start_cluster): +def test_hybrid_policy_threshold(ray_start_cluster): cluster = ray_start_cluster - num_cpus = 10 - cluster.add_node( - num_cpus=num_cpus, - memory=num_cpus, - _system_config={ - "scheduler_top_k_absolute": 1, - "scheduler_top_k_fraction": 0, - }, - ) - cluster.add_node( - num_cpus=num_cpus, - memory=num_cpus, - ) + NUM_NODES = 2 + NUM_CPUS_PER_NODE = 4 + # The default hybrid policy packs nodes up to 50% capacity before spreading. + PER_NODE_HYBRID_THRESHOLD = int(NUM_CPUS_PER_NODE / 2) + for _ in range(NUM_NODES): + cluster.add_node( + num_cpus=NUM_CPUS_PER_NODE, + resources={"custom": NUM_CPUS_PER_NODE}, + ) + cluster.wait_for_nodes() ray.init(address=cluster.address) @@ -88,41 +85,30 @@ def test_hybrid_policy(ray_start_cluster): # until all are running. block_driver = Semaphore.remote(0) - # Add the memory resource because the cpu will be released in the ray.get - @ray.remote(num_cpus=1, memory=1) - def get_node(): + # Add the custom resource because the CPU will be released when the task is + # blocked calling `ray.get()`. + @ray.remote(num_cpus=1, resources={"custom": 1}) + def get_node_id() -> str: ray.get(block_driver.release.remote()) ray.get(block_task.acquire.remote()) - return ray._private.worker.global_worker.current_node_id + return ray.get_runtime_context().get_node_id() - # Below the hybrid threshold we pack on the local node first. - refs = [get_node.remote() for _ in range(5)] - ray.get([block_driver.acquire.remote() for _ in refs]) - ray.get([block_task.release.remote() for _ in refs]) - nodes = ray.get(refs) + # Submit 1 * PER_NODE_HYBRID_THRESHOLD tasks. + # They should all be packed on the local node. + refs = [get_node_id.remote() for _ in range(PER_NODE_HYBRID_THRESHOLD)] + ray.get([block_driver.acquire.remote() for _ in refs], timeout=20) + ray.get([block_task.release.remote() for _ in refs], timeout=20) + nodes = ray.get(refs, timeout=20) assert len(set(nodes)) == 1 - # We pack the second node to the hybrid threshold. - refs = [get_node.remote() for _ in range(10)] - ray.get([block_driver.acquire.remote() for _ in refs]) - ray.get([block_task.release.remote() for _ in refs]) - nodes = ray.get(refs) - counter = collections.Counter(nodes) - for node_id in counter: - print(f"{node_id}: {counter[node_id]}") - assert counter[node_id] == 5 - - # Once all nodes are past the hybrid threshold we round robin. - # TODO (Alex): Ideally we could schedule less than 20 nodes here, but the - # policy is imperfect if a resource report interrupts the process. - refs = [get_node.remote() for _ in range(20)] - ray.get([block_driver.acquire.remote() for _ in refs]) - ray.get([block_task.release.remote() for _ in refs]) - nodes = ray.get(refs) - counter = collections.Counter(nodes) - for node_id in counter: - print(f"{node_id}: {counter[node_id]}") - assert counter[node_id] == 10, counter + # Submit 2 * PER_NODE_HYBRID_THRESHOLD tasks. + # The first PER_NODE_HYBRID_THRESHOLD tasks should be packed on the local node, then + # the second PER_NODE_HYBRID_THRESHOLD tasks should be packed on the remote node. + refs = [get_node_id.remote() for _ in range(int(PER_NODE_HYBRID_THRESHOLD * 2))] + ray.get([block_driver.acquire.remote() for _ in refs], timeout=20) + ray.get([block_task.release.remote() for _ in refs], timeout=20) + counter = collections.Counter(ray.get(refs, timeout=20)) + assert all(v == PER_NODE_HYBRID_THRESHOLD for v in counter.values()), counter def test_legacy_spillback_distribution(ray_start_cluster): From 798ea009a67129530fa18a9ec77d3bf7d1db7397 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 1 Jul 2025 16:01:30 -0500 Subject: [PATCH 0006/1566] [core] Remove `test_schedule_many_actors_and_normal_tasks` (#54249) Same as: https://github.com/ray-project/ray/pull/54210 - Stress tests don't belong in CI. - This is for the experimental "GCS-based scheduler". Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_advanced_5.py | 42 ----------------------------- 1 file changed, 42 deletions(-) diff --git a/python/ray/tests/test_advanced_5.py b/python/ray/tests/test_advanced_5.py index 338cf19f93b6..e3cceb153781 100644 --- a/python/ray/tests/test_advanced_5.py +++ b/python/ray/tests/test_advanced_5.py @@ -102,48 +102,6 @@ def fun(singal1, signal_actor2): assert ray.get(o2) == 2 -# This case tests whether gcs-based actor scheduler works properly -# in a large scale. -def test_schedule_many_actors_and_normal_tasks(ray_start_cluster): - cluster = ray_start_cluster - - node_count = 10 - actor_count = 50 - each_actor_task_count = 50 - normal_task_count = 1000 - node_memory = 2 * 1024**3 - - for i in range(node_count): - cluster.add_node( - memory=node_memory, - _system_config={"gcs_actor_scheduling_enabled": True} if i == 0 else {}, - ) - ray.init(address=cluster.address) - cluster.wait_for_nodes() - - @ray.remote(memory=100 * 1024**2, num_cpus=0.01) - class Foo: - def method(self): - return 2 - - @ray.remote(memory=100 * 1024**2, num_cpus=0.01) - def fun(): - return 1 - - normal_task_object_list = [fun.remote() for _ in range(normal_task_count)] - actor_list = [Foo.remote() for _ in range(actor_count)] - actor_object_list = [ - actor.method.remote() - for _ in range(each_actor_task_count) - for actor in actor_list - ] - for object in ray.get(actor_object_list): - assert object == 2 - - for object in ray.get(normal_task_object_list): - assert object == 1 - - # This case tests whether gcs actor scheduler distributes actors # in a balanced way if using `SPREAD` policy. @pytest.mark.parametrize("args", [[5, 20], [5, 3]]) From 79c10e81d232f654c408a717890ed44434410b1f Mon Sep 17 00:00:00 2001 From: William Lin Date: Tue, 1 Jul 2025 18:04:47 -0500 Subject: [PATCH 0007/1566] [core] Add static type hints for Actor methods (#54173) ## Why are these changes needed? Related Issue: https://github.com/ray-project/ray/issues/54149 Also allow for actors methods to be decorated with `@ray.method` (with no args) **After this PR** ![image](https://github.com/user-attachments/assets/822b91fa-30af-41c0-be85-d680f02ad6b4) cc @pcmoritz @richardliaw ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: will.lin Signed-off-by: Douglas Strodtman --- python/ray/actor.py | 358 ++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 344 insertions(+), 14 deletions(-) diff --git a/python/ray/actor.py b/python/ray/actor.py index bbf82130cc26..fb0541539812 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -11,12 +11,21 @@ TYPE_CHECKING, TypeVar, Generic, + Callable, + overload, ) +try: + from typing import ParamSpec + from typing import Concatenate +except ImportError: + from typing_extensions import ParamSpec + from typing_extensions import Concatenate + import ray._private.ray_constants as ray_constants import ray._private.signature as signature import ray._raylet -from ray import ActorClassID, Language, cross_language +from ray import ActorClassID, Language, cross_language, ObjectRef from ray._private import ray_option_utils from ray._private.async_compat import has_async_methods from ray._private.auto_init_hook import wrap_auto_init @@ -68,6 +77,320 @@ # return type of ActorClass[T].remote() ActorProxy = Union["ActorHandle[T]", type[T]] +_Ret = TypeVar("_Ret") +_P = ParamSpec("_P") +_T0 = TypeVar("_T0") +_T1 = TypeVar("_T1") +_T2 = TypeVar("_T2") +_T3 = TypeVar("_T3") +_T4 = TypeVar("_T4") +_T5 = TypeVar("_T5") +_T6 = TypeVar("_T6") +_T7 = TypeVar("_T7") +_T8 = TypeVar("_T8") +_T9 = TypeVar("_T9") + + +class _RemoteMethodNoArgs(Generic[_Ret]): + def remote(self) -> "ObjectRef[_Ret]": + ... + + def bind(self) -> Any: + ... + + +class _RemoteMethod0(Generic[_Ret, _T0]): + def remote(self, __arg0: "Union[_T0, ObjectRef[_T0]]") -> "ObjectRef[_Ret]": + ... + + def bind(self, __arg0: _T0) -> Any: + ... + + +class _RemoteMethod1(Generic[_Ret, _T0, _T1]): + def remote( + self, __arg0: "Union[_T0, ObjectRef[_T0]]", __arg1: "Union[_T1, ObjectRef[_T1]]" + ) -> "ObjectRef[_Ret]": + ... + + def bind(self, __arg0: _T0, __arg1: _T1) -> Any: + ... + + +class _RemoteMethod2(Generic[_Ret, _T0, _T1, _T2]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind(self, __arg0: _T0, __arg1: _T1, __arg2: _T2) -> Any: + ... + + +class _RemoteMethod3(Generic[_Ret, _T0, _T1, _T2, _T3]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind(self, __arg0: _T0, __arg1: _T1, __arg2: _T2, __arg3: _T3) -> Any: + ... + + +class _RemoteMethod4(Generic[_Ret, _T0, _T1, _T2, _T3, _T4]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, __arg0: _T0, __arg1: _T1, __arg2: _T2, __arg3: _T3, __arg4: _T4 + ) -> Any: + ... + + +class _RemoteMethod5(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + __arg5: "Union[_T5, ObjectRef[_T5]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, + __arg0: _T0, + __arg1: _T1, + __arg2: _T2, + __arg3: _T3, + __arg4: _T4, + __arg5: _T5, + ) -> Any: + ... + + +class _RemoteMethod6(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + __arg5: "Union[_T5, ObjectRef[_T5]]", + __arg6: "Union[_T6, ObjectRef[_T6]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, + __arg0: _T0, + __arg1: _T1, + __arg2: _T2, + __arg3: _T3, + __arg4: _T4, + __arg5: _T5, + __arg6: _T6, + ) -> Any: + ... + + +class _RemoteMethod7(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + __arg5: "Union[_T5, ObjectRef[_T5]]", + __arg6: "Union[_T6, ObjectRef[_T6]]", + __arg7: "Union[_T7, ObjectRef[_T7]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, + __arg0: _T0, + __arg1: _T1, + __arg2: _T2, + __arg3: _T3, + __arg4: _T4, + __arg5: _T5, + __arg6: _T6, + __arg7: _T7, + ) -> Any: + ... + + +class _RemoteMethod8(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + __arg5: "Union[_T5, ObjectRef[_T5]]", + __arg6: "Union[_T6, ObjectRef[_T6]]", + __arg7: "Union[_T7, ObjectRef[_T7]]", + __arg8: "Union[_T8, ObjectRef[_T8]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, + __arg0: _T0, + __arg1: _T1, + __arg2: _T2, + __arg3: _T3, + __arg4: _T4, + __arg5: _T5, + __arg6: _T6, + __arg7: _T7, + __arg8: _T8, + ) -> Any: + ... + + +class _RemoteMethod9(Generic[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8, _T9]): + def remote( + self, + __arg0: "Union[_T0, ObjectRef[_T0]]", + __arg1: "Union[_T1, ObjectRef[_T1]]", + __arg2: "Union[_T2, ObjectRef[_T2]]", + __arg3: "Union[_T3, ObjectRef[_T3]]", + __arg4: "Union[_T4, ObjectRef[_T4]]", + __arg5: "Union[_T5, ObjectRef[_T5]]", + __arg6: "Union[_T6, ObjectRef[_T6]]", + __arg7: "Union[_T7, ObjectRef[_T7]]", + __arg8: "Union[_T8, ObjectRef[_T8]]", + __arg9: "Union[_T9, ObjectRef[_T9]]", + ) -> "ObjectRef[_Ret]": + ... + + def bind( + self, + __arg0: _T0, + __arg1: _T1, + __arg2: _T2, + __arg3: _T3, + __arg4: _T4, + __arg5: _T5, + __arg6: _T6, + __arg7: _T7, + __arg8: _T8, + __arg9: _T9, + ) -> Any: + ... + + +@overload +def method( + __method: Callable[[Any], _Ret], +) -> _RemoteMethodNoArgs[_Ret]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0], _Ret], +) -> _RemoteMethod0[_Ret, _T0]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1], _Ret], +) -> _RemoteMethod1[_Ret, _T0, _T1]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2], _Ret], +) -> _RemoteMethod2[_Ret, _T0, _T1, _T2]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3], _Ret], +) -> _RemoteMethod3[_Ret, _T0, _T1, _T2, _T3]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4], _Ret], +) -> _RemoteMethod4[_Ret, _T0, _T1, _T2, _T3, _T4]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4, _T5], _Ret], +) -> _RemoteMethod5[_Ret, _T0, _T1, _T2, _T3, _T4, _T5]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4, _T5, _T6], _Ret], +) -> _RemoteMethod6[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7], _Ret], +) -> _RemoteMethod7[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8], _Ret], +) -> _RemoteMethod8[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8]: + ... + + +@overload +def method( + __method: Callable[[Any, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8, _T9], _Ret], +) -> _RemoteMethod9[_Ret, _T0, _T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8, _T9]: + ... + + +@overload +def method( + *, + num_returns: Optional[Union[int, Literal["streaming"]]] = None, + concurrency_group: Optional[str] = None, + max_task_retries: Optional[int] = None, + retry_exceptions: Optional[Union[bool, list, tuple]] = None, + _generator_backpressure_num_objects: Optional[int] = None, + enable_task_events: Optional[bool] = None, + tensor_transport: Optional[TensorTransportEnum] = None, +) -> Callable[[Callable[Concatenate[Any, _P], _Ret]], Any]: + ... + @PublicAPI @client_mode_hook @@ -129,20 +452,8 @@ def bar(self): "enable_task_events", "tensor_transport", ] - error_string = ( - "The @ray.method decorator must be applied using at least one of " - f"the arguments in the list {valid_kwargs}, for example " - "'@ray.method(num_returns=2)'." - ) - assert len(args) == 0 and len(kwargs) > 0, error_string - for key in kwargs: - key_error_string = ( - f"Unexpected keyword argument to @ray.method: '{key}'. The " - f"supported keyword arguments are {valid_kwargs}" - ) - assert key in valid_kwargs, key_error_string - def annotate_method(method): + def annotate_method(method: Callable[_P, _Ret]): if "num_returns" in kwargs: method.__ray_num_returns__ = kwargs["num_returns"] if "max_task_retries" in kwargs: @@ -163,6 +474,25 @@ def annotate_method(method): ) return method + # Check if decorator is called without parentheses (args[0] would be the function) + if len(args) == 1 and callable(args[0]) and len(kwargs) == 0: + # Called as @ray.method (without parentheses) + return annotate_method(args[0]) + + # Called as @ray.method() or @ray.method(options...) + error_string = ( + "The @ray.method decorator must be applied using no arguments or at " + f"least one of the arguments in the list {valid_kwargs}, for example " + "'@ray.method(num_returns=2)'." + ) + assert len(args) == 0, error_string + for key in kwargs: + key_error_string = ( + f"Unexpected keyword argument to @ray.method: '{key}'. The " + f"supported keyword arguments are {valid_kwargs}" + ) + assert key in valid_kwargs, key_error_string + return annotate_method From 749fa15a8b9b2efc6154bb538fe0e9972063bf54 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 1 Jul 2025 16:24:09 -0700 Subject: [PATCH 0008/1566] [core] Fix sanitizers for actor manager test (#54224) Fixes UBSAN failure on actor manager tests after #54203 Inlining the `RestartActorForLineageReconstruction` because before the reply that was passed in would go out of scope, and then the io service would run the callback. Also moving some of the io service runs around to be in more logical places. Also removed the no_tsan tag. After the previous pr everything is running on one thread as it is in reality so the test actually passes with tsan. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/test/BUILD.bazel | 1 - .../gcs_server/test/gcs_actor_manager_test.cc | 58 +++++++++++-------- 2 files changed, 33 insertions(+), 26 deletions(-) diff --git a/src/ray/gcs/gcs_server/test/BUILD.bazel b/src/ray/gcs/gcs_server/test/BUILD.bazel index 22a3b777eb3c..e07280da4e01 100644 --- a/src/ray/gcs/gcs_server/test/BUILD.bazel +++ b/src/ray/gcs/gcs_server/test/BUILD.bazel @@ -225,7 +225,6 @@ ray_cc_test( "gcs_actor_manager_test.cc", ], tags = [ - "no_tsan", "team:core", ], deps = [ diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc index 2f1cc325d77c..ab49c9c1dc65 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc @@ -192,19 +192,6 @@ class GcsActorManagerTest : public ::testing::Test { gcs_actor_manager_->OnNodeDead(node_info, "127.0.0.1"); } - rpc::RestartActorForLineageReconstructionReply RestartActorForLineageReconstruction( - const ActorID &actor_id, size_t num_restarts_due_to_lineage_reconstruction) { - rpc::RestartActorForLineageReconstructionRequest request; - request.set_actor_id(actor_id.Binary()); - request.set_num_restarts_due_to_lineage_reconstruction( - num_restarts_due_to_lineage_reconstruction); - rpc::RestartActorForLineageReconstructionReply reply; - gcs_actor_manager_->HandleRestartActorForLineageReconstruction( - request, &reply, [](auto status, auto success_callback, auto failure_callback) { - }); - return reply; - } - void ReportActorOutOfScope(const ActorID &actor_id, size_t num_restarts_due_to_lineage_reconstrcution) { rpc::ReportActorOutOfScopeRequest request; @@ -1347,6 +1334,7 @@ TEST_F(GcsActorManagerTest, TestKillActorWhenActorIsCreating) { &reply, /*send_reply_callback*/ [](Status status, std::function success, std::function failure) {}); + io_service_.run_one(); // Make sure the `KillActor` rpc is send. ASSERT_EQ(worker_client_->killed_actors_.size(), 1); @@ -1411,8 +1399,14 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { ASSERT_EQ(actor->GetState(), rpc::ActorTableData::DEAD); // Restart the actor due to linage reconstruction. - RestartActorForLineageReconstruction(actor->GetActorID(), - /*num_restarts_due_to_lineage_reconstruction=*/1); + rpc::RestartActorForLineageReconstructionRequest request; + request.set_actor_id(actor->GetActorID().Binary()); + request.set_num_restarts_due_to_lineage_reconstruction( + /*num_restarts_due_to_lineage_reconstruction=*/1); + rpc::RestartActorForLineageReconstructionReply reply; + gcs_actor_manager_->HandleRestartActorForLineageReconstruction( + request, &reply, [](auto, auto, auto) {}); + io_service_.run_one(); ASSERT_EQ(actor->GetState(), rpc::ActorTableData::RESTARTING); // Add node and check that the actor is restarted. @@ -1424,7 +1418,6 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); - io_service_.run_one(); ASSERT_EQ(created_actors.size(), 1); ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); ASSERT_EQ(actor->GetNodeID(), node_id3); @@ -1466,15 +1459,26 @@ TEST_F(GcsActorManagerTest, TestRestartPermanentlyDeadActorForLineageReconstruct ASSERT_EQ(actor->GetState(), rpc::ActorTableData::DEAD); // Restart on an invalid or permanently dead actor should fail. - auto reply = RestartActorForLineageReconstruction( - ActorID::Of(actor->GetActorID().JobId(), RandomTaskId(), 0), + rpc::RestartActorForLineageReconstructionRequest request; + request.set_actor_id( + ActorID::Of(actor->GetActorID().JobId(), RandomTaskId(), 0).Binary()); + request.set_num_restarts_due_to_lineage_reconstruction( /*num_restarts_due_to_lineage_reconstruction=*/0); + rpc::RestartActorForLineageReconstructionReply reply; + gcs_actor_manager_->HandleRestartActorForLineageReconstruction( + request, &reply, [](auto, auto, auto) {}); + io_service_.run_one(); + io_service_.run_one(); ASSERT_EQ(reply.status().code(), static_cast(StatusCode::Invalid)); - reply = RestartActorForLineageReconstruction( - actor->GetActorID(), + rpc::RestartActorForLineageReconstructionRequest request2; + request2.set_actor_id(actor->GetActorID().Binary()); + request2.set_num_restarts_due_to_lineage_reconstruction( /*num_restarts_due_to_lineage_reconstruction=*/0); - ASSERT_EQ(reply.status().code(), static_cast(StatusCode::Invalid)); + rpc::RestartActorForLineageReconstructionReply reply2; + gcs_actor_manager_->HandleRestartActorForLineageReconstruction( + request2, &reply2, [](auto, auto, auto) {}); + ASSERT_EQ(reply2.status().code(), static_cast(StatusCode::Invalid)); } TEST_F(GcsActorManagerTest, TestIdempotencyOfRestartActorForLineageReconstruction) { @@ -1557,10 +1561,13 @@ TEST_F(GcsActorManagerTest, TestIdempotencyOfRestartActorForLineageReconstructio // reply is lost and the caller resends the same request. The second // RestartActorForLineageReconstruction rpc should be directly replied without // triggering another restart of the actor. - auto reply = RestartActorForLineageReconstruction( - actor->GetActorID(), - /*num_restarts_due_to_lineage_reconstruction=*/1); - ASSERT_EQ(reply.status().code(), static_cast(StatusCode::OK)); + rpc::RestartActorForLineageReconstructionRequest request3; + request3.set_actor_id(actor->GetActorID().Binary()); + request3.set_num_restarts_due_to_lineage_reconstruction(1); + rpc::RestartActorForLineageReconstructionReply reply3; + gcs_actor_manager_->HandleRestartActorForLineageReconstruction( + request3, &reply3, [](auto, auto, auto) {}); + ASSERT_EQ(reply3.status().code(), static_cast(StatusCode::OK)); // Make sure the actor is not restarted again. ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); ASSERT_EQ(actor->GetActorTableData().num_restarts(), 1); @@ -1607,6 +1614,7 @@ TEST_F(GcsActorManagerTest, TestDestroyActorWhenActorIsCreating) { /*send_reply_callback*/ [](Status status, std::function success, std::function failure) {}); io_service_.run_one(); + io_service_.run_one(); // Make sure the `KillActor` rpc is send. ASSERT_EQ(worker_client_->killed_actors_.size(), 1); From d6c1a8a64030b055482d9c9976b51e970524e7e8 Mon Sep 17 00:00:00 2001 From: Nils Melchert <36985893+nilsmelchert@users.noreply.github.com> Date: Wed, 2 Jul 2025 03:25:07 +0200 Subject: [PATCH 0009/1566] Update azure.md - Missing azure dependency (#49104) These is a pip install dependency missing in `azure.md`, which results in a `ModuleNotFoundError: No module named 'azure.mgmt.network'`. Signed-off-by: Nils Melchert <36985893+nilsmelchert@users.noreply.github.com> Co-authored-by: Masoud Signed-off-by: Douglas Strodtman --- doc/source/cluster/vms/user-guides/launching-clusters/azure.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md index 398092b12d52..2130c0448d91 100644 --- a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md +++ b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md @@ -30,7 +30,7 @@ Next, install the Azure CLI (`pip install -U azure-cli azure-identity`) and logi ```bash # Install azure cli. -pip install azure-cli azure-identity +pip install azure-cli azure-identity azure-mgmt-network # Login to azure. This will redirect you to your web browser. az login From 8320e759273fc396746285ca79d76d18e9777ef8 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 1 Jul 2025 18:34:36 -0700 Subject: [PATCH 0010/1566] [core] Fix "Check failed: it->second.num_retries_left == -1" (#54116) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A crash occurs inside TaskManager when the ObjectRecoveryManager attempts to reconstruct an object for a task that has already been canceled. At a high level, we considered two options: 1. ensure that ObjectRecoveryManager never attempts to reconstruct a canceled task — the guiding principle here is to rely on global state to keep TaskManager on its "happy path"; or 2. make TaskManager resilient to non-happy-path scenarios, handling them gracefully. The original solution followed the second approach, and we ultimately adopted it — with one key refinement: we introduced an explicit cancellation state within TaskManager, instead of relying on the number of retries left as an indirect indicator of cancellation. We didn’t choose the first approach because the interaction between ObjectRecoveryManager and task cancellation (eventually leads to the call inside TaskManager ) methods can be interleaved in arbitrary ways. This makes it impractical to place a reliable synchronization check early; the only effective place to validate the state is right at the crash site. Concretely the sequencing is: 1. A task first marked as completed—i.e., no longer pending—but remains in the queue because its return object might need to be reconstructed later 2. The task is canceled 3. The task is triggered a retry to reconstruct its lost object This happens to 1. Both normal task and actor task 2. A sequencing of breaking logic rather than a thread racing, can be reproduced reliability via a unitest This fix still prevents the object from being reconstructed (as defined by the API contract [here](https://github.com/ray-project/ray/blob/master/python/ray/_private/worker.py#L3179)). Previously, without my fix, Ray would crash. With the fix, object reconstruction still fails, but the failure is now properly propagated as a TaskCanceled exception instead of causing a crash. I added a 1. cpp unit test 2. e2e python test that failed before the fix with the check failed, and pass afterwards. Stack trace: ``` [2025-06-08 23:40:33,057 C 1553 1681] task_manager.cc:341: Check failed: it->second.num_retries_left == -1 *** StackTrace Information *** /home/ray/anaconda3/lib/python3.12/site-packages/ray/_raylet.so(+0x1484c2a) [0x79d215843c2a] ray::operator<<() /home/ray/anaconda3/lib/python3.12/site-packages/ray/_raylet.so(_ZN3ray6RayLogD1Ev+0x479) [0x79d2158466a9] ray::RayLog::~RayLog() /home/ray/anaconda3/lib/python3.12/site-packages/ray/_raylet.so(_ZN3ray4core11TaskManager12ResubmitTaskERKNS_6TaskIDEPSt6vectorINS_8ObjectIDESaIS6_EE+0x271) [0x79d214dc32b1] ray::core::TaskManager::ResubmitTask() /home/ray/anaconda3/lib/python3.12/site-packages/ray/_raylet.so(_ZN3ray4core21ObjectRecoveryManager17ReconstructObjectERKNS_8ObjectIDE+0x1aa) [0x79d214db492a] ray::core::ObjectRecoveryManager::ReconstructObject() ... ``` Test: - CI --------- Signed-off-by: can Signed-off-by: Douglas Strodtman --- python/ray/tests/test_cancel.py | 51 +++++++++++++++++++ src/ray/core_worker/task_manager.cc | 12 ++++- src/ray/core_worker/task_manager.h | 7 ++- src/ray/core_worker/test/task_manager_test.cc | 29 +++++++++++ 4 files changed, 95 insertions(+), 4 deletions(-) diff --git a/python/ray/tests/test_cancel.py b/python/ray/tests/test_cancel.py index 88031b61e7fe..682acca5fdb2 100644 --- a/python/ray/tests/test_cancel.py +++ b/python/ray/tests/test_cancel.py @@ -4,6 +4,8 @@ import threading import _thread import time +import numpy as np +from typing import List import pytest @@ -15,6 +17,7 @@ WorkerCrashedError, ObjectLostError, ) +from ray.types import ObjectRef from ray._private.utils import DeferSigint from ray._common.test_utils import SignalActor from ray._common.test_utils import wait_for_condition @@ -732,5 +735,53 @@ def wait_until_wait_task_starts(): assert found_total_msg +def test_ray_task_cancel_and_retry_race_condition(ray_start_cluster): + """ + This test is to verify that when a task is cancelled, the retry task will fail + probably with a TaskCancelledError and is not crashing. + + The test is to: + 1. Start a ray cluster with one head node and one worker node. + 2. Submit a task to the worker node to generate an object big enough to store in the object store. + 3. Cancel the task. + 4. Remove the worker node. + 5. Add a new worker node. + 6. Force a retry task to be scheduled on the new worker node to reconstruct the big object. + 7. Verify that the retry task fails with a TaskCancelledError. + """ + cluster = ray_start_cluster + # Add a head node with 0 CPU. + cluster.add_node(num_cpus=0) + ray.init(address=cluster.address) + # Add one worker node. + worker_node = cluster.add_node(num_cpus=2) + cluster.wait_for_nodes() + + @ray.remote(num_cpus=2) + def producer() -> np.ndarray: + return np.zeros(1024 * 1000) + + @ray.remote(num_cpus=2) + def consumer(object_refs: List[ObjectRef[np.ndarray]]) -> np.ndarray: + return ray.get(object_refs[0]) + + # Generate the big object in the object store of the worker node, then kill the worker + # node. This causes the object to be lost. + producer_ref = producer.remote() + ray.wait([producer_ref], fetch_local=False) + ray.cancel(producer_ref) + cluster.remove_node(worker_node) + + # Add a new worker node. Run another task that depends on the previously lost big + # object. This will force a retry task to be scheduled on the new worker node. + cluster.add_node(num_cpus=2) + cluster.wait_for_nodes() + + # Test that the retry task fails with a TaskCancelledError because it was previously + # cancelled. + with pytest.raises(TaskCancelledError): + ray.get(consumer.remote([producer_ref])) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 4e24408ec552..5d81749b5aa3 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -326,6 +326,9 @@ std::optional TaskManager::ResubmitTask( return rpc::ErrorType::OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED; } auto &task_entry = it->second; + if (task_entry.is_canceled) { + return rpc::ErrorType::TASK_CANCELLED; + } if (task_entry.spec.IsStreamingGenerator() && task_entry.GetStatus() == rpc::TaskStatus::SUBMITTED_TO_WORKER) { @@ -358,6 +361,9 @@ std::optional TaskManager::ResubmitTask( UpdateReferencesForResubmit(spec, task_deps); + // TODO(can-anyscale): There is a race condition here where a task can still be + // retried after its retry count has reached zero. Additional information in github + // issue #54260. RAY_LOG(INFO) << "Resubmitting task that produced lost plasma object, attempt #" << spec.AttemptNumber() << ": " << spec.DebugString(); retry_task_callback_(spec, /*object_recovery*/ true, /*delay_ms*/ 0); @@ -1345,12 +1351,13 @@ int64_t TaskManager::RemoveLineageReference(const ObjectID &object_id, } bool TaskManager::MarkTaskCanceled(const TaskID &task_id) { + // Mark the task for cancellation. This will prevent the task from being retried. ObjectID generator_id = TaskGeneratorId(task_id); if (!generator_id.IsNil()) { - // Pass -1 because the task has been cancelled, so we should just end the + // Pass -1 because the task has been canceled, so we should just end the // stream at the caller's current index. This is needed because we may // receive generator reports out of order. If the task reports a later - // index then exits because it was cancelled, we will hang waiting for the + // index then exits because it was canceled, we will hang waiting for the // intermediate indices. MarkEndOfStream(generator_id, /*end_of_stream_index=*/-1); } @@ -1360,6 +1367,7 @@ bool TaskManager::MarkTaskCanceled(const TaskID &task_id) { if (it != submissible_tasks_.end()) { it->second.num_retries_left = 0; it->second.num_oom_retries_left = 0; + it->second.is_canceled = true; } return it != submissible_tasks_.end(); } diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index a9180e923c86..e68ea7b798e7 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -598,7 +598,8 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa : spec(std::move(spec_arg)), num_retries_left(num_retries_left_arg), counter(&counter), - num_oom_retries_left(num_oom_retries_left) { + num_oom_retries_left(num_oom_retries_left), + is_canceled(false) { reconstructable_return_ids.reserve(num_returns); for (size_t i = 0; i < num_returns; i++) { reconstructable_return_ids.insert(spec.ReturnId(i)); @@ -659,8 +660,10 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa // Number of times this task may be resubmitted if the task failed // due to out of memory failure. int32_t num_oom_retries_left; + // Whether the task has been marked for cancellation. + // Canceled tasks will never be retried. + bool is_canceled; // Objects returned by this task that are reconstructable. This is set - // objects may be reconstructed by resubmitting the task. Once the task // finishes its first execution, then the objects that the task returned by // value are removed from this set because they can be inlined in any diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 6564cbbc9a7a..36ecdf07951e 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -426,6 +426,35 @@ TEST_F(TaskManagerTest, TestTaskKill) { ASSERT_EQ(stored_error, error); } +TEST_F(TaskManagerTest, TestResubmitCanceledTask) { + // Set up a pending task. + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + int num_retries = 3; + manager_.AddPendingTask(caller_address, spec, "", num_retries); + ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); + + // Complete the task, but still pin it in the submissible tasks map. + auto return_id = spec.ReturnId(0); + rpc::PushTaskReply reply; + auto return_object = reply.add_return_objects(); + return_object->set_object_id(return_id.Binary()); + return_object->set_in_plasma(true); + manager_.CompletePendingTask(spec.TaskId(), reply, rpc::Address(), false); + ASSERT_TRUE(manager_.IsTaskSubmissible(spec.TaskId())); + ASSERT_FALSE(manager_.IsTaskPending(spec.TaskId())); + + // Check that resubmitting a canceled task does not crash and returns + // FAILED_TASK_CANCELED. + manager_.MarkTaskCanceled(spec.TaskId()); + std::vector task_deps; + ASSERT_EQ(manager_.ResubmitTask(spec.TaskId(), &task_deps), + rpc::ErrorType::TASK_CANCELLED); + + // Final cleanup. + reference_counter_->RemoveLocalReference(return_id, nullptr); +} + TEST_F(TaskManagerTest, TestTaskOomKillNoOomRetryFailsImmediately) { RayConfig::instance().initialize(R"({"task_oom_retries": 0})"); From 6df9cf32dec542551e7966079d8fc452f3aeca9a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 1 Jul 2025 19:56:30 -0700 Subject: [PATCH 0011/1566] [deps] upgrade pytest-virtualenv (#54214) and also upgrades pytest-shutil. removes dependency on `path` and `mock` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 15 ++++----------- 2 files changed, 5 insertions(+), 12 deletions(-) diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 4c51bb450f1e..39dfd16e499a 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -54,7 +54,7 @@ pytest-rerunfailures==11.1.2 pytest-sugar==0.9.5 pytest-lazy-fixtures==1.1.2 pytest-timeout==2.1.0 -pytest-virtualenv==1.7.0; python_version < "3.12" +pytest-virtualenv==1.8.1; python_version < "3.12" pytest-sphinx @ git+https://github.com/ray-project/pytest-sphinx pytest-mock==3.14.0 redis==4.4.2 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 3b84f3279975..a37c963ef590 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -337,9 +337,7 @@ configspace==0.7.1 ; python_version < "3.12" # -r python/requirements/ml/tune-requirements.txt # hpbandster contextlib2==21.6.0 - # via - # ml-collections - # pytest-shutil + # via ml-collections contourpy==1.1.1 # via matplotlib cramjam==2.8.3 @@ -789,6 +787,7 @@ importlib-metadata==6.11.0 # mlflow-skinny # myst-nb # opentelemetry-api + # pytest-virtualenv importlib-resources==5.13.0 # via # etils @@ -1058,8 +1057,6 @@ mlflow-skinny==2.22.0 # via mlflow mmh3==4.1.0 # via pyiceberg -mock==5.1.0 - # via pytest-shutil modin==0.22.2 ; python_version < "3.12" # via -r python/requirements/ml/data-requirements.txt monai==1.3.2 @@ -1446,10 +1443,6 @@ parso==0.8.3 # via jedi partd==1.4.1 # via dask -path==16.14.0 - # via path-py -path-py==12.5.0 - # via pytest-shutil pathable==0.4.3 # via jsonschema-path pathspec==0.11.2 @@ -1743,7 +1736,7 @@ pytest-repeat==0.9.3 # via -r python/requirements/ml/data-test-requirements.txt pytest-rerunfailures==11.1.2 # via -r python/requirements/test-requirements.txt -pytest-shutil==1.7.0 +pytest-shutil==1.8.1 # via pytest-virtualenv pytest-sphinx @ git+https://github.com/ray-project/pytest-sphinx # via -r python/requirements/test-requirements.txt @@ -1751,7 +1744,7 @@ pytest-sugar==0.9.5 # via -r python/requirements/test-requirements.txt pytest-timeout==2.1.0 # via -r python/requirements/test-requirements.txt -pytest-virtualenv==1.7.0 ; python_version < "3.12" +pytest-virtualenv==1.8.1 ; python_version < "3.12" # via -r python/requirements/test-requirements.txt python-box==6.1.0 # via comet-ml From 6bf45da2803cf2cdf2de126a6f340eaaf65d4caa Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 1 Jul 2025 20:06:04 -0700 Subject: [PATCH 0012/1566] [serve] Move `pickle.dumps` to handle request methods (#54259) ## Why are these changes needed? Serialize http asgi messages in `handle_request` methods instead of `call_http_entrypoint` methods. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 10 +++++----- .../ray/serve/tests/unit/test_user_callable_wrapper.py | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index ce34eff4deeb..278f57948c21 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -622,13 +622,13 @@ async def handle_request_streaming( ) as status_code_callback: if request_metadata.is_http_request: scope, receive = request_args - async for result in self._user_callable_wrapper.call_http_entrypoint( + async for messages in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, ): - yield result + yield pickle.dumps(messages) else: async for result in self._user_callable_wrapper.call_user_generator( request_metadata, @@ -666,13 +666,13 @@ async def handle_request_with_rejection( if request_metadata.is_http_request: scope, receive = request_args - async for result in self._user_callable_wrapper.call_http_entrypoint( + async for messages in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, ): - yield result + yield pickle.dumps(messages) elif request_metadata.is_streaming: async for result in self._user_callable_wrapper.call_user_generator( request_metadata, @@ -1626,7 +1626,7 @@ async def enqueue(item: Any): # field. Other response types like WebSockets may not. status_code_callback(str(msg["status"])) - yield pickle.dumps(messages) + yield messages @_run_user_code async def _call_http_entrypoint( diff --git a/python/ray/serve/tests/unit/test_user_callable_wrapper.py b/python/ray/serve/tests/unit/test_user_callable_wrapper.py index 4abe112265f9..e2b455710574 100644 --- a/python/ray/serve/tests/unit/test_user_callable_wrapper.py +++ b/python/ray/serve/tests/unit/test_user_callable_wrapper.py @@ -610,7 +610,7 @@ async def receive_asgi_messages(_: str): asgi_scope, ASGIReceiveProxy(asgi_scope, request_metadata, receive_asgi_messages), ): - result_list.extend(pickle.loads(result)) + result_list.extend(result) assert result_list[0]["type"] == "http.response.start" assert result_list[0]["status"] == 200 From 4a8e63c8ff91c47b034b65c72e5ad47b541c7737 Mon Sep 17 00:00:00 2001 From: srinathk10 <68668616+srinathk10@users.noreply.github.com> Date: Tue, 1 Jul 2025 21:43:46 -0700 Subject: [PATCH 0013/1566] [Data] Update release test datasets to us-west-2 buckets (#54258) Signed-off-by: Douglas Strodtman --- .../dataset/batch_inference_mock_image_pipeline.py | 3 +-- release/nightly_tests/dataset/streaming_split_benchmark.py | 4 +++- release/release_data_tests.yaml | 4 ++-- .../benchmark/image_classification/parquet/imagenet.py | 2 +- release/train_tests/benchmark/recsys/criteo.py | 2 +- 5 files changed, 8 insertions(+), 7 deletions(-) diff --git a/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py b/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py index 0038b785ba06..41aa12f10845 100644 --- a/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py +++ b/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py @@ -20,9 +20,8 @@ import random import time -BUCKET = "anyscale-imagenet" WRITE_PATH = f"s3://ray-data-write-benchmark/{uuid.uuid4().hex}" -BUCKET = "ray-benchmark-data-internal" +BUCKET = "ray-benchmark-data-internal-us-west-2" # Assumptions: homogenously shaped images, homogenous images # Each iamge is 2048 * 2048 * 3 = 12.58 MB -> 11 images / block. 8 blocks per task, so ~88 images per task. diff --git a/release/nightly_tests/dataset/streaming_split_benchmark.py b/release/nightly_tests/dataset/streaming_split_benchmark.py index f59509ea4fbe..09b55ef43eb5 100644 --- a/release/nightly_tests/dataset/streaming_split_benchmark.py +++ b/release/nightly_tests/dataset/streaming_split_benchmark.py @@ -26,7 +26,9 @@ def main(args): """ benchmark = Benchmark() - ds = ray.data.read_parquet("s3://ray-benchmark-data-internal/imagenet/parquet") + ds = ray.data.read_parquet( + "s3://ray-benchmark-data-internal-us-west-2/imagenet/parquet" + ) num_rows = ds.count() if args.early_stop is not None: diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 5f15d3d3b256..83f2eff8483f 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -32,7 +32,7 @@ timeout: 3600 script: > python read_and_consume_benchmark.py - s3://ray-benchmark-data-internal/imagenet/parquet --format parquet + s3://ray-benchmark-data-internal-us-west-2/imagenet/parquet --format parquet --iter-bundles - name: "read_images_{{scaling}}" @@ -55,7 +55,7 @@ timeout: 3600 script: > python read_and_consume_benchmark.py - s3://ray-benchmark-data-internal/imagenet/tfrecords --format tfrecords + s3://ray-benchmark-data-internal-us-west-2/imagenet/tfrecords --format tfrecords --iter-bundles - name: "read_from_uris_{{scaling}}" diff --git a/release/train_tests/benchmark/image_classification/parquet/imagenet.py b/release/train_tests/benchmark/image_classification/parquet/imagenet.py index e6057a21cb5d..322303cc1f1c 100644 --- a/release/train_tests/benchmark/image_classification/parquet/imagenet.py +++ b/release/train_tests/benchmark/image_classification/parquet/imagenet.py @@ -11,7 +11,7 @@ ) IMAGENET_PARQUET_SPLIT_S3_ROOT = ( - "s3://ray-benchmark-data-internal/imagenet/parquet_split" + "s3://ray-benchmark-data-internal-us-west-2/imagenet/parquet_split" ) IMAGENET_PARQUET_SPLIT_S3_DIRS = { DatasetKey.TRAIN: f"{IMAGENET_PARQUET_SPLIT_S3_ROOT}/train", diff --git a/release/train_tests/benchmark/recsys/criteo.py b/release/train_tests/benchmark/recsys/criteo.py index c99c27172ff5..28dcf4a1f5f9 100644 --- a/release/train_tests/benchmark/recsys/criteo.py +++ b/release/train_tests/benchmark/recsys/criteo.py @@ -17,7 +17,7 @@ logger = logging.getLogger(__name__) -S3_BUCKET = "ray-benchmark-data-internal" +S3_BUCKET = "ray-benchmark-data-internal-us-west-2" CRITEO_S3_URI = f"s3://{S3_BUCKET}/criteo/tsv.gz" CAT_FEATURE_VALUE_COUNT_JSON_PATH_PATTERN = ( "criteo/tsv.gz/categorical_feature_value_counts/{}-value_counts.json" From 2c5cf774e883f2f4de226ae6408257e9d4cbc124 Mon Sep 17 00:00:00 2001 From: Walid Date: Wed, 2 Jul 2025 15:08:15 +0200 Subject: [PATCH 0014/1566] feat(runtime_env): add Azure Blob Storage support (#53135) Add support for Azure Blob Storage URIs in Ray's runtime_env, allowing users to specify Azure as a location for their dependencies. Closes #38316 --------- Signed-off-by: Walid El Bouchikhi Signed-off-by: Walid Co-authored-by: Ibrahim Rabbani Signed-off-by: Douglas Strodtman --- doc/source/ray-core/handling-dependencies.rst | 15 ++- python/ray/_private/runtime_env/protocol.py | 112 +++++++++++++++--- .../ray/tests/test_runtime_env_packaging.py | 11 ++ 3 files changed, 117 insertions(+), 21 deletions(-) diff --git a/doc/source/ray-core/handling-dependencies.rst b/doc/source/ray-core/handling-dependencies.rst index 7e07a12a7b83..6421ffe0def6 100644 --- a/doc/source/ray-core/handling-dependencies.rst +++ b/doc/source/ray-core/handling-dependencies.rst @@ -849,7 +849,7 @@ Your ``runtime_env`` dictionary should contain: To avoid this, use the ``zip -r`` command directly on the directory you want to compress from its parent's directory. For example, if you have a directory structure such as: ``a/b`` and you what to compress ``b``, issue the ``zip -r b`` command from the directory ``a.`` If Ray detects more than a single directory at the top level, it will use the entire zip file instead of the top-level directory, which may lead to unexpected behavior. -Currently, three types of remote URIs are supported for hosting ``working_dir`` and ``py_modules`` packages: +Currently, four types of remote URIs are supported for hosting ``working_dir`` and ``py_modules`` packages: - ``HTTPS``: ``HTTPS`` refers to URLs that start with ``https``. These are particularly useful because remote Git providers (e.g. GitHub, Bitbucket, GitLab, etc.) use ``https`` URLs as download links for repository archives. @@ -880,7 +880,18 @@ Currently, three types of remote URIs are supported for hosting ``working_dir`` - ``runtime_env = {"working_dir": "gs://example_bucket/example_file.zip"}`` -Note that the ``smart_open``, ``boto3``, and ``google-cloud-storage`` packages are not installed by default, and it is not sufficient to specify them in the ``pip`` section of your ``runtime_env``. +- ``Azure``: ``Azure`` refers to URIs starting with ``azure://`` that point to compressed packages stored in `Azure Blob Storage `_. + To use packages via ``Azure`` URIs, you must have the ``smart_open``, ``azure-storage-blob``, and ``azure-identity`` libraries (you can install them using ``pip install smart_open[azure] azure-storage-blob azure-identity``). + Ray supports two authentication methods for Azure Blob Storage: + + 1. Connection string: Set the environment variable ``AZURE_STORAGE_CONNECTION_STRING`` with your Azure storage connection string. + 2. Managed Identity: Set the environment variable ``AZURE_STORAGE_ACCOUNT`` with your Azure storage account name. This will use Azure's Managed Identity for authentication. + + - Example: + + - ``runtime_env = {"working_dir": "azure://container-name/example_file.zip"}`` + +Note that the ``smart_open``, ``boto3``, ``google-cloud-storage``, ``azure-storage-blob``, and ``azure-identity`` packages are not installed by default, and it is not sufficient to specify them in the ``pip`` section of your ``runtime_env``. The relevant packages must already be installed on all nodes of the cluster when Ray starts. Hosting a Dependency on a Remote Git Provider: Step-by-Step Guide diff --git a/python/ray/_private/runtime_env/protocol.py b/python/ray/_private/runtime_env/protocol.py index b42789972175..b61dea8f71fa 100644 --- a/python/ray/_private/runtime_env/protocol.py +++ b/python/ray/_private/runtime_env/protocol.py @@ -1,4 +1,5 @@ import enum +import os from ray._private.runtime_env.default_impl import get_protocols_provider @@ -27,13 +28,99 @@ def get_protocols(cls): "s3", # Remote google storage path, assumes everything packed in one zip file. "gs", + # Remote azure blob storage path, assumes everything packed in one zip file. + "azure", # File storage path, assumes everything packed in one zip file. "file", } @classmethod def get_remote_protocols(cls): - return {"https", "s3", "gs", "file"} + return {"https", "s3", "gs", "azure", "file"} + + @classmethod + def _handle_s3_protocol(cls): + """Set up S3 protocol handling. + + Returns: + tuple: (open_file function, transport_params) + + Raises: + ImportError: If required dependencies are not installed. + """ + try: + import boto3 + from smart_open import open as open_file + except ImportError: + raise ImportError( + "You must `pip install smart_open[s3]` " + "to fetch URIs in s3 bucket. " + cls._MISSING_DEPENDENCIES_WARNING + ) + + transport_params = {"client": boto3.client("s3")} + return open_file, transport_params + + @classmethod + def _handle_gs_protocol(cls): + """Set up Google Cloud Storage protocol handling. + + Returns: + tuple: (open_file function, transport_params) + + Raises: + ImportError: If required dependencies are not installed. + """ + try: + from google.cloud import storage # noqa: F401 + from smart_open import open as open_file + except ImportError: + raise ImportError( + "You must `pip install smart_open[gcs]` " + "to fetch URIs in Google Cloud Storage bucket." + + cls._MISSING_DEPENDENCIES_WARNING + ) + + return open_file, None + + @classmethod + def _handle_azure_protocol(cls): + """Set up Azure blob storage protocol handling. + + Returns: + tuple: (open_file function, transport_params) + + Raises: + ImportError: If required dependencies are not installed. + ValueError: If required environment variables are not set. + """ + try: + from azure.identity import DefaultAzureCredential + from azure.storage.blob import BlobServiceClient # noqa: F401 + from smart_open import open as open_file + except ImportError: + raise ImportError( + "You must `pip install azure-storage-blob azure-identity smart_open[azure]` " + "to fetch URIs in Azure Blob Storage. " + + cls._MISSING_DEPENDENCIES_WARNING + ) + + # Define authentication variable + azure_storage_account_name = os.getenv("AZURE_STORAGE_ACCOUNT") + + if not azure_storage_account_name: + raise ValueError( + "Azure Blob Storage authentication requires " + "AZURE_STORAGE_ACCOUNT environment variable to be set." + ) + + account_url = f"https://{azure_storage_account_name}.blob.core.windows.net/" + transport_params = { + "client": BlobServiceClient( + account_url=account_url, credential=DefaultAzureCredential() + ) + } + + return open_file, transport_params @classmethod def download_remote_uri(cls, protocol: str, source_uri: str, dest_file: str): @@ -50,6 +137,7 @@ def download_remote_uri(cls, protocol: str, source_uri: str, dest_file: str): assert protocol in cls.get_remote_protocols() tp = None + open_file = None if protocol == "file": source_uri = source_uri[len("file://") :] @@ -58,25 +146,11 @@ def open_file(uri, mode, *, transport_params=None): return open(uri, mode) elif protocol == "s3": - try: - import boto3 - from smart_open import open as open_file - except ImportError: - raise ImportError( - "You must `pip install smart_open[s3]` " - "to fetch URIs in s3 bucket. " + cls._MISSING_DEPENDENCIES_WARNING - ) - tp = {"client": boto3.client("s3")} + open_file, tp = cls._handle_s3_protocol() elif protocol == "gs": - try: - from google.cloud import storage # noqa: F401 - from smart_open import open as open_file - except ImportError: - raise ImportError( - "You must `pip install smart_open[gcs]` " - "to fetch URIs in Google Cloud Storage bucket." - + cls._MISSING_DEPENDENCIES_WARNING - ) + open_file, tp = cls._handle_gs_protocol() + elif protocol == "azure": + open_file, tp = cls._handle_azure_protocol() else: try: from smart_open import open as open_file diff --git a/python/ray/tests/test_runtime_env_packaging.py b/python/ray/tests/test_runtime_env_packaging.py index 99a7b58d6dac..21f226b94965 100644 --- a/python/ray/tests/test_runtime_env_packaging.py +++ b/python/ray/tests/test_runtime_env_packaging.py @@ -490,6 +490,7 @@ class TestParseUri: ("s3://bucket/file.zip", Protocol.S3, "s3_bucket_file.zip"), ("https://test.com/file.zip", Protocol.HTTPS, "https_test_com_file.zip"), ("gs://bucket/file.zip", Protocol.GS, "gs_bucket_file.zip"), + ("azure://container/file.zip", Protocol.AZURE, "azure_container_file.zip"), ( "https://test.com/package-0.0.1-py2.py3-none-any.whl?param=value", Protocol.HTTPS, @@ -547,6 +548,11 @@ def test_parse_private_git_https_uris(self, parsing_tuple): Protocol.S3, "s3_fake_2022-10-21T13_11_35_00_00_package.zip", ), + ( + "azure://fake/2022-10-21T13:11:35+00:00/package.zip", + Protocol.AZURE, + "azure_fake_2022-10-21T13_11_35_00_00_package.zip", + ), ( "file:///fake/2022-10-21T13:11:35+00:00/package.zip", Protocol.FILE, @@ -583,6 +589,11 @@ def test_parse_uris_with_disallowed_chars(self, parsing_tuple): Protocol.S3, "package.whl", ), + ( + "azure://fake/2022-10-21T13:11:35+00:00/package.whl", + Protocol.AZURE, + "package.whl", + ), ( "file:///fake/2022-10-21T13:11:35+00:00/package.whl", Protocol.FILE, From 3aaa7ac3fc5a8c55a52fca2e7200dd2cd46ef611 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 2 Jul 2025 10:09:08 -0700 Subject: [PATCH 0015/1566] add a env var to disable forceful replica shutdown (#54204) introduce a new environment variable `RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY` to disable forceful shutdown of ingress replica. This feature is in experimental iteration and could change without notice. Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 18 +++++++++++++++++ python/ray/serve/_private/replica.py | 20 ++++++++++--------- 2 files changed, 29 insertions(+), 9 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index df8e717d511e..1d5cdbe07630 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -186,6 +186,11 @@ class DeploymentStateUpdateResult: ALL_REPLICA_STATES = list(ReplicaState) _SCALING_LOG_ENABLED = os.environ.get("SERVE_ENABLE_SCALING_LOG", "0") != "0" +# Feature flag to disable forcibly shutting down replicas. +RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY = ( + os.environ.get("RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY", "0") + == "1" +) def print_verbose_scaling_log(): @@ -265,6 +270,7 @@ def __init__( self._routing_stats: Dict[str, Any] = {} self._record_routing_stats_ref: Optional[ObjectRef] = None self._last_record_routing_stats_time: float = 0.0 + self._ingress: bool = False @property def replica_id(self) -> str: @@ -413,6 +419,7 @@ def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: until the deployment scheduler schedules the underlying actor. """ self._actor_resources = deployment_info.replica_config.resource_dict + self._ingress = deployment_info.ingress # it is currently not possible to create a placement group # with no resources (https://github.com/ray-project/ray/issues/20401) self._deployment_is_cross_language = ( @@ -971,6 +978,17 @@ def get_routing_stats(self) -> Dict[str, Any]: def force_stop(self): """Force the actor to exit without shutting down gracefully.""" + if ( + self._ingress + and RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY + ): + logger.info( + f"{self.replica_id} did not shut down because it had not finished draining requests. " + "Going to wait until the draining is complete. You can force-stop the replica by " + "setting RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY to 0." + ) + return + try: ray.kill(ray.get_actor(self._actor_name, namespace=SERVE_NAMESPACE)) except ValueError: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 278f57948c21..f0deae5defa1 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -803,14 +803,7 @@ async def _drain_ongoing_requests(self): ) break - async def perform_graceful_shutdown(self): - self._shutting_down = True - - # If the replica was never initialized it never served traffic, so we - # can skip the wait period. - if self._user_callable_initialized: - await self._drain_ongoing_requests() - + async def shutdown(self): try: await self._user_callable_wrapper.call_destructor() except: # noqa: E722 @@ -826,6 +819,16 @@ async def perform_graceful_shutdown(self): await self._metrics_manager.shutdown() + async def perform_graceful_shutdown(self): + self._shutting_down = True + + # If the replica was never initialized it never served traffic, so we + # can skip the wait period. + if self._user_callable_initialized: + await self._drain_ongoing_requests() + + await self.shutdown() + async def check_health(self): try: # If there's no user-defined health check, nothing runs on the user code event @@ -937,7 +940,6 @@ async def __init__( deployment_def = cloudpickle.loads(serialized_deployment_def) if isinstance(deployment_def, str): deployment_def = _load_deployment_def_from_import_path(deployment_def) - self._replica_impl: ReplicaBase = create_replica_impl( replica_id=replica_id, deployment_def=deployment_def, From 9f5873cb5a2b330a0d18730dd79fac253d4d79c6 Mon Sep 17 00:00:00 2001 From: angelinalg <122562471+angelinalg@users.noreply.github.com> Date: Wed, 2 Jul 2025 10:30:02 -0700 Subject: [PATCH 0016/1566] [docs] move directives to bottom of README.ipynb (#54250) Signed-off-by: Douglas Strodtman --- .../e2e-multimodal-ai-workloads/README.ipynb | 28 +++++++-------- .../examples/e2e-rag/README.ipynb | 36 +++++++++---------- .../examples/e2e-timeseries/README.ipynb | 28 +++++++-------- .../examples/e2e-xgboost/README.ipynb | 26 ++++---------- .../notebooks/01-Distributed_Training.ipynb | 25 +++++++++++-- .../examples/object-detection/README.ipynb | 32 ++++++++--------- 6 files changed, 91 insertions(+), 84 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb index 41c06b1ac4c4..48f2329fc12a 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb @@ -7,20 +7,6 @@ "# Image semantic search and classification\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "```{toctree}\n", - ":hidden:\n", - "\n", - "notebooks/01-Batch-Inference\n", - "notebooks/02-Distributed-Training\n", - "notebooks/03-Online-Serving\n", - "```" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -69,6 +55,20 @@ "Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard).\n", "Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/)." ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "```{toctree}\n", + ":hidden:\n", + "\n", + "notebooks/01-Batch-Inference\n", + "notebooks/02-Distributed-Training\n", + "notebooks/03-Online-Serving\n", + "```" + ] } ], "metadata": { diff --git a/doc/source/ray-overview/examples/e2e-rag/README.ipynb b/doc/source/ray-overview/examples/e2e-rag/README.ipynb index 467773ed848c..907ceece5d8d 100644 --- a/doc/source/ray-overview/examples/e2e-rag/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/README.ipynb @@ -7,24 +7,6 @@ "# End-to-end RAG deep dive\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```{toctree}\n", - ":hidden:\n", - "\n", - "notebooks/01_(Optional)_Regular_Document_Processing_Pipeline\n", - "notebooks/02_Scalable_RAG_Data_Ingestion_with_Ray_Data\n", - "notebooks/03_Deploy_LLM_with_Ray_Serve\n", - "notebooks/04_Build_Basic_RAG_Chatbot\n", - "notebooks/05_Improve_RAG_with_Prompt_Engineering\n", - "notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference\n", - "notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference\n", - "\n", - "```" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -63,6 +45,24 @@ "\n", "> **Note:** Notebooks marked “(Optional)” cover complementary topics and can be skipped if you prefer to focus on the core RAG flow.\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```{toctree}\n", + ":hidden:\n", + "\n", + "notebooks/01_(Optional)_Regular_Document_Processing_Pipeline\n", + "notebooks/02_Scalable_RAG_Data_Ingestion_with_Ray_Data\n", + "notebooks/03_Deploy_LLM_with_Ray_Serve\n", + "notebooks/04_Build_Basic_RAG_Chatbot\n", + "notebooks/05_Improve_RAG_with_Prompt_Engineering\n", + "notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference\n", + "notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference\n", + "\n", + "```" + ] } ], "metadata": { diff --git a/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb b/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb index 629dcbd5ab0c..40aa3bb974f8 100644 --- a/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb @@ -7,20 +7,6 @@ "# Time-series forecasting with DLinear\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```{toctree}\n", - ":hidden:\n", - "\n", - "e2e_timeseries/01-Distributed-Training\n", - "e2e_timeseries/02-Validation\n", - "e2e_timeseries/03-Serving\n", - "\n", - "```" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -59,6 +45,20 @@ "And the original publication:\n", "- [\"Are Transformers Effective for Time Series Forecasting?\"](https://arxiv.org/abs/2205.13504)\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```{toctree}\n", + ":hidden:\n", + "\n", + "e2e_timeseries/01-Distributed-Training\n", + "e2e_timeseries/02-Validation\n", + "e2e_timeseries/03-Serving\n", + "\n", + "```" + ] } ], "metadata": { diff --git a/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb b/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb index 27850f42ba7e..ca6ad79221f8 100644 --- a/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb @@ -7,20 +7,6 @@ "# Classification with XGBoost\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```{toctree}\n", - ":hidden:\n", - "\n", - "notebooks/01-Distributed_Training\n", - "notebooks/02-Validation\n", - "notebooks/03-Serving\n", - "\n", - "```" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -49,14 +35,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "```{toctree}\n", + ":hidden:\n", "\n", - "# Dependencies\n", - "\n", - "To install the dependencies, run the following:\n", + "notebooks/01-Distributed_Training\n", + "notebooks/02-Validation\n", + "notebooks/03-Serving\n", "\n", - "```bash\n", - "pip install -r requirements.txt\n", - "```\n" + "```" ] } ], diff --git a/doc/source/ray-overview/examples/e2e-xgboost/notebooks/01-Distributed_Training.ipynb b/doc/source/ray-overview/examples/e2e-xgboost/notebooks/01-Distributed_Training.ipynb index 513fd4fe1716..e8e3eee10b3d 100644 --- a/doc/source/ray-overview/examples/e2e-xgboost/notebooks/01-Distributed_Training.ipynb +++ b/doc/source/ray-overview/examples/e2e-xgboost/notebooks/01-Distributed_Training.ipynb @@ -20,10 +20,31 @@ "\n", "**Note**: This tutorial doesn't including tuning of the model. See [Ray Tune](https://docs.ray.io/en/latest/tune/index.html) for experiment execution and hyperparameter tuning.\n", "\n", - "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "f778369e", + "metadata": {}, + "source": [ + "## Dependencies\n", + "\n", + "To install the dependencies, run the following:\n", "\n", + "```bash\n", + "pip install -r requirements.txt\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "ab9d9875", + "metadata": {}, + "source": [ + "## Setup\n", "\n", - "Before you start, follow the instructions in [Overview](../README.ipynb) to install the dependencies." + "Import the necessary modules:" ] }, { diff --git a/doc/source/ray-overview/examples/object-detection/README.ipynb b/doc/source/ray-overview/examples/object-detection/README.ipynb index 596d7fa8f5ea..d6fa1e20c2b5 100644 --- a/doc/source/ray-overview/examples/object-detection/README.ipynb +++ b/doc/source/ray-overview/examples/object-detection/README.ipynb @@ -8,22 +8,6 @@ "# Face mask detection pipeline\n" ] }, - { - "cell_type": "markdown", - "id": "11736f7c", - "metadata": {}, - "source": [ - "```{toctree}\n", - ":hidden:\n", - "\n", - "1.object_detection_train\n", - "2.object_detection_batch_inference_eval\n", - "3.video_processing_batch_inference\n", - "4.object_detection_serve\n", - "\n", - "```" - ] - }, { "cell_type": "markdown", "id": "bf6eb5b3", @@ -96,6 +80,22 @@ "[4.object_detection_serve.ipynb](4.object_detection_serve.ipynb) \n", "Deploy the trained Faster R-CNN mask detector as a production-ready microservice using Ray Serve and FastAPI. Set up ingress, configure autoscaling and fractional GPU allocation, test the HTTP endpoint, and manage the service lifecycle both locally and through Anyscale Services.\n" ] + }, + { + "cell_type": "markdown", + "id": "3bfdc056", + "metadata": {}, + "source": [ + "```{toctree}\n", + ":hidden:\n", + "\n", + "1.object_detection_train\n", + "2.object_detection_batch_inference_eval\n", + "3.video_processing_batch_inference\n", + "4.object_detection_serve\n", + "\n", + "```" + ] } ], "metadata": { From 857d8aa83ac881c92d5289261c0b5939e538d6cb Mon Sep 17 00:00:00 2001 From: ran1995data Date: Thu, 3 Jul 2025 02:16:00 +0800 Subject: [PATCH 0017/1566] [Data] Fix IcebergDatasink to properly generate individual file uuids (#52956) Issue: https://github.com/ray-project/ray/issues/52967 I found some issues when using `dataset.write_iceberg`. This is my test data file `data.csv` ``` id,data 1,1 2,2 3,3 4,4 ``` This is my job, I use two tasks, each consumes two rows. ``` INPUT = "./data.csv" TABLE = "test_iceberg.table_1" OUTPUT = "./output.csv" ds = ray.data.read_csv(paths=INPUT).repartition(2) ds.write_iceberg( table_identifier=TABLE, concurrency=2, ) ds1 = ray.data.read_iceberg( table_identifier=TABLE, selected_fields=("id",), ) ds2.write_csv(path=OUTPUT, num_rows_per_file=100) ``` I write the test data into the iceberg table, and then read it from iceberg table. The following is the output result, `3, 3` and `4, 4` disappeared. ``` id,data 1,1 2,2 1,1 2,2 ``` I guess the data written to iceberg is wrong, so printed some logs when write to iceberg, and found two tasks wrote to the same file. ``` # task1 wrote to s3://metastore/ab41d4e8f7d13aed/catalogs/a33d63478c6a8d5c/schemas/9dfb0fd4607250b3/tables/a1ccb264901f053d/data/category=BsC0tAlRF12eZjY2FFYLLddPhEv3oXsLOVNTnd0efuEQeR5zz7/00000-0-2cb19c81-42d2-4dbb-9143-3066b499e1cd.parque # task2 wrote to s3://metastore/ab41d4e8f7d13aed/catalogs/a33d63478c6a8d5c/schemas/9dfb0fd4607250b3/tables/a1ccb264901f053d/data/category=BsC0tAlRF12eZjY2FFYLLddPhEv3oXsLOVNTnd0efuEQeR5zz7/00000-0-2cb19c81-42d2-4dbb-9143-3066b499e1cd.parque ``` The file written by the task is determined by the `uuid`. Using the same uuid for all tasks will cause all tasks to write to the same file, and only the data read by one task will be written. So when writing to iceberg, I fixed it by using different uuid for each task. --------- Signed-off-by: Ran Wei Signed-off-by: ran1995data Signed-off-by: weiran11 Co-authored-by: weiran11 Co-authored-by: goutamvenkat-anyscale Signed-off-by: Douglas Strodtman --- .../_internal/datasource/iceberg_datasink.py | 3 +- python/ray/data/tests/test_iceberg.py | 35 +++++++++++++++++++ 2 files changed, 37 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/datasource/iceberg_datasink.py b/python/ray/data/_internal/datasource/iceberg_datasink.py index fe187dd1a7ef..1e04b12279fe 100644 --- a/python/ray/data/_internal/datasource/iceberg_datasink.py +++ b/python/ray/data/_internal/datasource/iceberg_datasink.py @@ -143,8 +143,9 @@ def write( if pa_table.shape[0] <= 0: continue + task_uuid = uuid.uuid4() data_files = _dataframe_to_data_files( - self._table_metadata, pa_table, self._io, self._uuid + self._table_metadata, pa_table, self._io, task_uuid ) data_files_list.extend(data_files) diff --git a/python/ray/data/tests/test_iceberg.py b/python/ray/data/tests/test_iceberg.py index 1b881f14c9d9..48a9dfd0b9d6 100644 --- a/python/ray/data/tests/test_iceberg.py +++ b/python/ray/data/tests/test_iceberg.py @@ -258,6 +258,41 @@ def test_write_basic(): assert orig_table_p.equals(table_p) +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("14.0.0"), + reason="PyIceberg 0.7.0 fails on pyarrow <= 14.0.0", +) +def test_write_concurrency(): + + import numpy as np + import pandas as pd + + sql_catalog = pyi_catalog.load_catalog(**_CATALOG_KWARGS) + table = sql_catalog.load_table(f"{_DB_NAME}.{_TABLE_NAME}") + table.delete() + + data = pd.DataFrame( + { + "col_a": np.array([1, 2, 3, 4], dtype=np.int32), + "col_b": ["1", "2", "3", "4"], + "col_c": np.array([1, 2, 3, 4], dtype=np.int32), + } + ) + write_ds = ray.data.from_pandas(data).repartition(2) + write_ds.write_iceberg( + table_identifier=f"{_DB_NAME}.{_TABLE_NAME}", + catalog_kwargs=_CATALOG_KWARGS.copy(), + concurrency=2, + ) + read_ds = ray.data.read_iceberg( + table_identifier=f"{_DB_NAME}.{_TABLE_NAME}", + catalog_kwargs=_CATALOG_KWARGS.copy(), + selected_fields=("col_a",), + ) + df = read_ds.to_pandas().sort_values("col_a").reset_index(drop=True) + assert df["col_a"].tolist() == [1, 2, 3, 4] + + if __name__ == "__main__": import sys From 8acac95febca2e75d756b5919aeba1a8326015d7 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Wed, 2 Jul 2025 20:57:23 +0200 Subject: [PATCH 0018/1566] [docs; RLlib] Remove "new API stack" banner from all RLlib docs pages as its now the default. (#54282) Signed-off-by: Douglas Strodtman --- doc/source/_includes/rllib/new_api_stack.rst | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/doc/source/_includes/rllib/new_api_stack.rst b/doc/source/_includes/rllib/new_api_stack.rst index 92f7d5629e94..2297a1d0a6d1 100644 --- a/doc/source/_includes/rllib/new_api_stack.rst +++ b/doc/source/_includes/rllib/new_api_stack.rst @@ -1,7 +1,8 @@ -.. note:: +.. + .. note:: - Ray 2.40 uses RLlib's new API stack by default. - The Ray team has mostly completed transitioning algorithms, example scripts, and - documentation to the new code base. + Ray 2.40 uses RLlib's new API stack by default. + The Ray team has mostly completed transitioning algorithms, example scripts, and + documentation to the new code base. - If you're still using the old API stack, see :doc:`New API stack migration guide ` for details on how to migrate. + If you're still using the old API stack, see :doc:`New API stack migration guide ` for details on how to migrate. From 135a51a76001626007b7d6a9b662b33b884ac03d Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 2 Jul 2025 15:44:27 -0400 Subject: [PATCH 0019/1566] [Data] Refactor `test_json_read_partitioned_with_filter` to avoid actors (#54279) ## Why are these changes needed? The `Counter` actor can leak outside of the `test_json_read_partitioned_with_filter` test and cause subsequent tests to fail. To avoid issues, this PR refactors the test and avoids actors. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_json.py | 69 +++++++++++++----------------- 1 file changed, 29 insertions(+), 40 deletions(-) diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index f79c7586bf61..c6ad4f0988fb 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -26,7 +26,6 @@ from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa from ray.data.tests.test_partitioning import PathPartitionEncoder -from ray.data.tests.util import Counter from ray.tests.conftest import * # noqa @@ -437,47 +436,37 @@ def df_to_json(dataframe, path, **kwargs): storage_options=storage_options, ) partition_keys = ["one"] - kept_file_counter = Counter.remote() - skipped_file_counter = Counter.remote() def skip_unpartitioned(kv_dict): - keep = bool(kv_dict) - counter = kept_file_counter if keep else skipped_file_counter - ray.get(counter.increment.remote()) - return keep - - for style in [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]: - base_dir = os.path.join(data_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - file_writer_fn, - ) - file_writer_fn(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.json")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filter_fn=skip_unpartitioned, - filesystem=fs, - ) - ds = ray.data.read_json( - base_dir, - partition_filter=partition_path_filter, - file_extensions=None, - filesystem=fs, - ) - assert_base_partitioned_ds(ds) - assert ray.get(kept_file_counter.get.remote()) == 2 - assert ray.get(skipped_file_counter.get.remote()) == 1 - ray.get(kept_file_counter.reset.remote()) - ray.get(skipped_file_counter.reset.remote()) + return bool(kv_dict) + + base_dir = os.path.join(data_path, style.value) + partition_path_encoder = PathPartitionEncoder.of( + style=style, + base_dir=base_dir, + field_names=partition_keys, + filesystem=fs, + ) + write_base_partitioned_df( + partition_keys, + partition_path_encoder, + file_writer_fn, + ) + file_writer_fn(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.json")) + partition_path_filter = PathPartitionFilter.of( + style=style, + base_dir=base_dir, + field_names=partition_keys, + filter_fn=skip_unpartitioned, + filesystem=fs, + ) + ds = ray.data.read_json( + base_dir, + partition_filter=partition_path_filter, + file_extensions=None, + filesystem=fs, + ) + assert_base_partitioned_ds(ds) @pytest.mark.parametrize("override_num_blocks", [None, 1, 3]) From 0392e795a2c68bbb73ea1eb1fa8fa3e5a11bb2c6 Mon Sep 17 00:00:00 2001 From: David Xia Date: Wed, 2 Jul 2025 17:54:55 -0400 Subject: [PATCH 0020/1566] [doc][core] fix reStructuredText formatting on Resources page (#53882) reStructuredText doesn't support nested inline markup like bold and monospace at the same time. So we move the double backticks outside of the bold markup. currently looks like https://docs.ray.io/en/latest/ray-core/scheduling/resources.html#specifying-node-resources image Signed-off-by: David Xia Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/resources.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/source/ray-core/scheduling/resources.rst b/doc/source/ray-core/scheduling/resources.rst index 86f26fb6b5ad..41075c58a52d 100644 --- a/doc/source/ray-core/scheduling/resources.rst +++ b/doc/source/ray-core/scheduling/resources.rst @@ -85,10 +85,10 @@ By default, logical resources are configured by the following rule. Ray **does not permit dynamic updates of resource capacities after Ray has been started on a node**. -- **Number of logical CPUs (``num_cpus``)**: Set to the number of CPUs of the machine/container. -- **Number of logical GPUs (``num_gpus``)**: Set to the number of GPUs of the machine/container. -- **Memory (``memory``)**: Set to 70% of "available memory" when ray runtime starts. -- **Object Store Memory (``object_store_memory``)**: Set to 30% of "available memory" when ray runtime starts. Note that the object store memory is not logical resource, and users cannot use it for scheduling. +- **Number of logical CPUs** (``num_cpus``): Set to the number of CPUs of the machine/container. +- **Number of logical GPUs** (``num_gpus``): Set to the number of GPUs of the machine/container. +- **Memory** (``memory``): Set to 70% of "available memory" when ray runtime starts. +- **Object Store Memory** (``object_store_memory``): Set to 30% of "available memory" when ray runtime starts. Note that the object store memory is not logical resource, and users cannot use it for scheduling. However, you can always override that by manually specifying the quantities of pre-defined resources and adding custom resources. There are several ways to do that depending on how you start the Ray cluster: From 5c6fb06d0eeb57f0f9df95c28e3f73a13c82931b Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 2 Jul 2025 17:12:30 -0500 Subject: [PATCH 0021/1566] [core] Deflake `test_hybrid_policy_threshold` (#54271) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Somehow changing from using the `memory` resource to using the custom resource caused this test to become very flaky on Ray Client. I have no idea why 🫠 My guess is that we don't consider custom resource utilization when making decisions for the default "hybrid" policy. This doesn't explain at all why the test is only flaky for the Ray Client condition. Could be a timing issue where non-Ray Client runs faster and therefore the CPUs are not released before the scheduling decisions are made. Need to do some digging. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_scheduling.py | 8 +++++--- python/ray/util/client/__init__.py | 1 - 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/python/ray/tests/test_scheduling.py b/python/ray/tests/test_scheduling.py index 8ec942012d55..be29cc1fae80 100644 --- a/python/ray/tests/test_scheduling.py +++ b/python/ray/tests/test_scheduling.py @@ -72,7 +72,7 @@ def test_hybrid_policy_threshold(ray_start_cluster): for _ in range(NUM_NODES): cluster.add_node( num_cpus=NUM_CPUS_PER_NODE, - resources={"custom": NUM_CPUS_PER_NODE}, + memory=NUM_CPUS_PER_NODE, ) cluster.wait_for_nodes() @@ -85,9 +85,11 @@ def test_hybrid_policy_threshold(ray_start_cluster): # until all are running. block_driver = Semaphore.remote(0) - # Add the custom resource because the CPU will be released when the task is + # Add the `memory` resource because the CPU will be released when the task is # blocked calling `ray.get()`. - @ray.remote(num_cpus=1, resources={"custom": 1}) + # NOTE(edoakes): this needs to be `memory`, not a custom resource. + # See: https://github.com/ray-project/ray/pull/54271. + @ray.remote(num_cpus=1, memory=1) def get_node_id() -> str: ray.get(block_driver.release.remote()) ray.get(block_task.acquire.remote()) diff --git a/python/ray/util/client/__init__.py b/python/ray/util/client/__init__.py index fb26a9c0b9f2..fd253024ce8d 100644 --- a/python/ray/util/client/__init__.py +++ b/python/ray/util/client/__init__.py @@ -14,7 +14,6 @@ from ray._private.utils import check_version_info -# XXX: force tests logger = logging.getLogger(__name__) From 5572771bf67b3be6f6020134f04a7d8da7d20e28 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 2 Jul 2025 16:00:57 -0700 Subject: [PATCH 0022/1566] [core][refactor/01] remove MarkTaskCanceled as a condition check (#54283) Currently, `MarkTaskCanceled` is used both to check a condition and to modify state. Refactor it to be purely a state-modifying function. It is only used as a condition in two places, both of which already include `IsTaskPending`, which can serve as a suitable replacement. `MarkTaskCanceled` can be safely removed from those condition checks. Purely a refactoring, no logical changes. Test: - CI Signed-off-by: can Signed-off-by: Douglas Strodtman --- src/mock/ray/core_worker/task_manager.h | 2 +- src/ray/core_worker/task_finisher.h | 2 +- src/ray/core_worker/task_manager.cc | 5 ++--- src/ray/core_worker/task_manager.h | 5 ++--- .../core_worker/test/dependency_resolver_test.cc | 2 +- .../core_worker/test/normal_task_submitter_test.cc | 2 +- .../core_worker/transport/actor_task_submitter.cc | 4 ++-- .../core_worker/transport/normal_task_submitter.cc | 14 ++++++++++---- 8 files changed, 20 insertions(+), 16 deletions(-) diff --git a/src/mock/ray/core_worker/task_manager.h b/src/mock/ray/core_worker/task_manager.h index 92d37f6edfe2..5d24c3da56f8 100644 --- a/src/mock/ray/core_worker/task_manager.h +++ b/src/mock/ray/core_worker/task_manager.h @@ -47,7 +47,7 @@ class MockTaskFinisherInterface : public TaskFinisherInterface { (const std::vector &inlined_dependency_ids, const std::vector &contained_ids), (override)); - MOCK_METHOD(bool, MarkTaskCanceled, (const TaskID &task_id), (override)); + MOCK_METHOD(void, MarkTaskCanceled, (const TaskID &task_id), (override)); MOCK_METHOD(std::optional, GetTaskSpec, (const TaskID &task_id), diff --git a/src/ray/core_worker/task_finisher.h b/src/ray/core_worker/task_finisher.h index 957ae8b62f1a..c71c5f99e952 100644 --- a/src/ray/core_worker/task_finisher.h +++ b/src/ray/core_worker/task_finisher.h @@ -62,7 +62,7 @@ class TaskFinisherInterface { virtual void MarkDependenciesResolved(const TaskID &task_id) = 0; - virtual bool MarkTaskCanceled(const TaskID &task_id) = 0; + virtual void MarkTaskCanceled(const TaskID &task_id) = 0; virtual std::optional GetTaskSpec(const TaskID &task_id) const = 0; diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 5d81749b5aa3..62f228d2ec4a 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -1350,8 +1350,8 @@ int64_t TaskManager::RemoveLineageReference(const ObjectID &object_id, return total_lineage_footprint_bytes_ - total_lineage_footprint_bytes_prev; } -bool TaskManager::MarkTaskCanceled(const TaskID &task_id) { - // Mark the task for cancellation. This will prevent the task from being retried. +void TaskManager::MarkTaskCanceled(const TaskID &task_id) { + // Mark the task for cancelation. This will prevent the task from being retried. ObjectID generator_id = TaskGeneratorId(task_id); if (!generator_id.IsNil()) { // Pass -1 because the task has been canceled, so we should just end the @@ -1369,7 +1369,6 @@ bool TaskManager::MarkTaskCanceled(const TaskID &task_id) { it->second.num_oom_retries_left = 0; it->second.is_canceled = true; } - return it != submissible_tasks_.end(); } absl::flat_hash_set TaskManager::GetTaskReturnObjectsToStoreInPlasma( diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index e68ea7b798e7..55e3a430fa65 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -507,11 +507,10 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa void OnTaskDependenciesInlined(const std::vector &inlined_dependency_ids, const std::vector &contained_ids) override; - /// Set number of retries to zero for a task that is being canceled. + /// Set the task state to be canceled. Set the number of retries to zero. /// /// \param[in] task_id to cancel. - /// \return Whether the task was pending and was marked for cancellation. - bool MarkTaskCanceled(const TaskID &task_id) override; + void MarkTaskCanceled(const TaskID &task_id) override; /// Return the spec for a pending task. std::optional GetTaskSpec(const TaskID &task_id) const override; diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index bd4917e94be4..60c91613c23f 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -109,7 +109,7 @@ class MockTaskFinisher : public TaskFinisherInterface { num_contained_ids += contained_ids.size(); } - bool MarkTaskCanceled(const TaskID &task_id) override { return true; } + void MarkTaskCanceled(const TaskID &task_id) override {} std::optional GetTaskSpec(const TaskID &task_id) const override { TaskSpecification task = BuildEmptyTaskSpec(); diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index 164b0f1f54b0..89b7913ae76e 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -188,7 +188,7 @@ class MockTaskFinisher : public TaskFinisherInterface { num_contained_ids += contained_ids.size(); } - bool MarkTaskCanceled(const TaskID &task_id) override { return true; } + void MarkTaskCanceled(const TaskID &task_id) override {} std::optional GetTaskSpec(const TaskID &task_id) const override { TaskSpecification task = BuildEmptyTaskSpec(); diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index 3bb8f7b82639..e6c4a9ea6675 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -874,8 +874,8 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv // Shouldn't hold a lock while accessing task_finisher_. // Task is already canceled or finished. - if (!GetTaskFinisherWithoutMu().MarkTaskCanceled(task_id) || - !GetTaskFinisherWithoutMu().IsTaskPending(task_id)) { + GetTaskFinisherWithoutMu().MarkTaskCanceled(task_id); + if (!GetTaskFinisherWithoutMu().IsTaskPending(task_id)) { RAY_LOG(DEBUG).WithField(task_id) << "Task is already finished or canceled"; return Status::OK(); } diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 475080c4d246..28b7f3d0a2ce 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -712,11 +712,17 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, std::shared_ptr client = nullptr; { absl::MutexLock lock(&mu_); - generators_to_resubmit_.erase(task_spec.TaskId()); + auto task_id = task_spec.TaskId(); + generators_to_resubmit_.erase(task_id); - if (cancelled_tasks_.find(task_spec.TaskId()) != cancelled_tasks_.end() || - !task_finisher_.MarkTaskCanceled(task_spec.TaskId()) || - !task_finisher_.IsTaskPending(task_spec.TaskId())) { + if (cancelled_tasks_.contains(task_id)) { + // The task cancel is already in progress. We don't need to do anything. + return Status::OK(); + } + + task_finisher_.MarkTaskCanceled(task_id); + if (!task_finisher_.IsTaskPending(task_id)) { + // The task is finished or failed so marking the task as cancelled is sufficient. return Status::OK(); } From 2396ccef4c14d2ff37b39178a41e0cdcb3f6799e Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 2 Jul 2025 16:12:50 -0700 Subject: [PATCH 0023/1566] add memory buffer logger to serve (#54269) The following benchmarks are computed with ``` Concurrency Level: 100 Complete requests: 2000 ``` `ab -n 2000 -c 100 "http://127.0.0.1:8000/"` Using this PR ``` Requests per second: 192.09 [#/sec] (mean) Time per request: 520.581 [ms] (mean) log buffer size: 1 Requests per second: 196.65 [#/sec] (mean) Time per request: 508.507 [ms] (mean) log buffer size: 10 Requests per second: 200.41 [#/sec] (mean) Time per request: 498.987 [ms] (mean) log buffer size: 100 Requests per second: 218.11 [#/sec] (mean) Time per request: 458.476 [ms] (mean) log buffer size: 1000 ``` From master ``` Requests per second: 189.75 [#/sec] (mean) Time per request: 527.014 [ms] (mean) ``` Repro script used for benchmark ``` from ray import serve import asyncio import logging from fastapi import FastAPI logger = logging.getLogger(__name__) @serve.deployment(max_ongoing_requests=1000) class ChildDeployment: async def __call__(self): return "Hello, world!" def get_app(): app = FastAPI() @app.get("/") async def f(): handle = serve.get_deployment_handle("ChildDeployment") return await handle.remote() return app @serve.deployment(max_ongoing_requests=1000) @serve.ingress(get_app) class MyDeployment: def __init__(self, child): self.child = child app = MyDeployment.bind(ChildDeployment.bind()) ``` Machine type: m6a.2xlarge --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 8 +++ python/ray/serve/_private/controller.py | 4 +- python/ray/serve/_private/http_util.py | 15 ++++- python/ray/serve/_private/logging_utils.py | 56 +++++++++++++------ python/ray/serve/_private/proxy.py | 6 +- python/ray/serve/_private/replica.py | 2 + .../test_config_files/logging_config_test.py | 6 +- python/ray/serve/tests/test_logging.py | 48 +++++++++------- 8 files changed, 101 insertions(+), 44 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 0d08e47df406..8edcc38e04f3 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -462,3 +462,11 @@ def str_to_list(s: str) -> List[str]: RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD = ( os.environ.get("RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD", "1") == "1" ) + +# The default buffer size for request path logs. Setting to 1 will ensure +# logs are flushed to file handler immediately, otherwise it will be buffered +# and flushed to file handler when the buffer is full or when there is a log +# line with level ERROR. +RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = int( + os.environ.get("RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE", "1") +) diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index b67a0b605027..663307fdd153 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -1149,8 +1149,8 @@ def _get_logging_config(self) -> Tuple: """Get the logging configuration (for testing purposes).""" log_file_path = None for handler in logger.handlers: - if isinstance(handler, logging.handlers.RotatingFileHandler): - log_file_path = handler.baseFilename + if isinstance(handler, logging.handlers.MemoryHandler): + log_file_path = handler.target.baseFilename return self.global_logging_config, log_file_path def _get_target_capacity_direction(self) -> Optional[TargetCapacityDirection]: diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index c52ee6e60873..6de7a2621860 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -562,7 +562,17 @@ def __init__(self, app_or_func: Union[ASGIApp, Callable]): # Use uvicorn's lifespan handling code to properly deal with # startup and shutdown event. - self._serve_asgi_lifespan = LifespanOn(Config(self._asgi_app, lifespan="on")) + # If log_config is not None, uvicorn will use the default logger. + # and that interferes with our logging setup. + self._serve_asgi_lifespan = LifespanOn( + Config( + self._asgi_app, + lifespan="on", + log_level=None, + log_config=None, + access_log=False, + ) + ) # Replace uvicorn logger with our own. self._serve_asgi_lifespan.logger = logger @@ -722,7 +732,8 @@ async def start_asgi_http_server( loop=event_loop, lifespan="off", access_log=False, - log_level="warning", + log_level=None, + log_config=None, ) ) diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 1f864c2e5fba..d2faa5fbd7f6 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -115,6 +115,7 @@ class ServeFormatter(TextFormatter): """Serve Logging Formatter The formatter will generate the log format on the fly based on the field of record. + Optimized to pre-compute format strings and formatters for better performance. """ COMPONENT_LOG_FMT = f"%({SERVE_LOG_LEVEL_NAME})s %({SERVE_LOG_TIME})s {{{SERVE_LOG_COMPONENT}}} {{{SERVE_LOG_COMPONENT_ID}}} " # noqa:E501 @@ -133,6 +134,27 @@ def __init__( component_name=component_name, component_id=component_id ) + # Pre-compute format strings and formatters for performance + self._precompute_formatters() + + def set_additional_log_standard_attrs(self, *args, **kwargs): + super().set_additional_log_standard_attrs(*args, **kwargs) + self._precompute_formatters() + + def _precompute_formatters(self): + self.base_formatter = self._create_formatter([]) + self.request_formatter = self._create_formatter( + [SERVE_LOG_RECORD_FORMAT[SERVE_LOG_REQUEST_ID]] + ) + + def _create_formatter(self, initial_attrs: list) -> logging.Formatter: + attrs = initial_attrs.copy() + attrs.extend([f"%({k})s" for k in self.additional_log_standard_attrs]) + attrs.append(SERVE_LOG_RECORD_FORMAT[SERVE_LOG_MESSAGE]) + + format_string = self.component_log_fmt + " ".join(attrs) + return logging.Formatter(format_string) + def format(self, record: logging.LogRecord) -> str: """Format the log record into the format string. @@ -141,20 +163,11 @@ def format(self, record: logging.LogRecord) -> str: Returns: The formatted log record in string format. """ - record_format = self.component_log_fmt - record_formats_attrs = [] + # Use pre-computed formatters for better performance if SERVE_LOG_REQUEST_ID in record.__dict__: - record_formats_attrs.append(SERVE_LOG_RECORD_FORMAT[SERVE_LOG_REQUEST_ID]) - record_formats_attrs.extend( - [f"%({k})s" for k in self.additional_log_standard_attrs] - ) - record_formats_attrs.append(SERVE_LOG_RECORD_FORMAT[SERVE_LOG_MESSAGE]) - record_format += " ".join(record_formats_attrs) - # create a formatter using the format string - formatter = logging.Formatter(record_format) - - # format the log record using the formatter - return formatter.format(record) + return self.request_formatter.format(record) + else: + return self.base_formatter.format(record) def access_log_msg(*, method: str, route: str, status: str, latency_ms: float): @@ -187,8 +200,8 @@ def get_component_logger_file_path() -> Optional[str]: """ logger = logging.getLogger(SERVE_LOGGER_NAME) for handler in logger.handlers: - if isinstance(handler, logging.handlers.RotatingFileHandler): - absolute_path = handler.baseFilename + if isinstance(handler, logging.handlers.MemoryHandler): + absolute_path = handler.target.baseFilename ray_logs_dir = ray._private.worker._global_node.get_logs_dir_path() if absolute_path.startswith(ray_logs_dir): return absolute_path[len(ray_logs_dir) :] @@ -284,6 +297,7 @@ def configure_component_logger( max_bytes: Optional[int] = None, backup_count: Optional[int] = None, stream_handler_only: bool = False, + buffer_size: int = 1, ): """Configure a logger to be used by a Serve component. @@ -373,7 +387,17 @@ def configure_component_logger( sys.stdout = StreamToLogger(logger, logging.INFO, sys.stdout) sys.stderr = StreamToLogger(logger, logging.INFO, sys.stderr) - logger.addHandler(file_handler) + # Create a memory handler that buffers log records and flushes to file handler + # Buffer capacity: buffer_size records + # Flush triggers: buffer full, ERROR messages, or explicit flush + memory_handler = logging.handlers.MemoryHandler( + capacity=buffer_size, + target=file_handler, + flushLevel=logging.ERROR, # Auto-flush on ERROR/CRITICAL + ) + + # Add the memory handler instead of the file handler directly + logger.addHandler(memory_handler) def configure_default_serve_logger(): diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 8db256e2a13e..69e5ebc8ccaa 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -29,6 +29,7 @@ PROXY_MIN_DRAINING_PERIOD_S, RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS, RAY_SERVE_PROXY_GC_THRESHOLD, + RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S, REQUEST_LATENCY_BUCKETS_MS, SERVE_CONTROLLER_NAME, @@ -1056,6 +1057,7 @@ def __init__( component_name="proxy", component_id=node_ip_address, logging_config=logging_config, + buffer_size=RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, ) startup_msg = f"Proxy starting on node {self._node_id} (HTTP port: {self._http_options.port}" @@ -1144,8 +1146,8 @@ def _get_logging_config(self) -> Tuple: """Get the logging configuration (for testing purposes).""" log_file_path = None for handler in logger.handlers: - if isinstance(handler, logging.handlers.RotatingFileHandler): - log_file_path = handler.baseFilename + if isinstance(handler, logging.handlers.MemoryHandler): + log_file_path = handler.target.baseFilename return log_file_path def _dump_ingress_replicas_for_testing(self, route: str) -> Set[ReplicaID]: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index f0deae5defa1..cb699b8bab30 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -53,6 +53,7 @@ RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, RAY_SERVE_METRICS_EXPORT_INTERVAL_MS, RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S, + RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, RAY_SERVE_RUN_SYNC_IN_THREADPOOL, RAY_SERVE_RUN_SYNC_IN_THREADPOOL_WARNING, RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD, @@ -444,6 +445,7 @@ def _configure_logger_and_profilers( component_name=self._component_name, component_id=self._component_id, logging_config=logging_config, + buffer_size=RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, ) configure_component_memory_profiler( component_type=ServeComponentType.REPLICA, diff --git a/python/ray/serve/tests/test_config_files/logging_config_test.py b/python/ray/serve/tests/test_config_files/logging_config_test.py index 07a3a72682ab..950ae86251e9 100644 --- a/python/ray/serve/tests/test_config_files/logging_config_test.py +++ b/python/ray/serve/tests/test_config_files/logging_config_test.py @@ -14,7 +14,7 @@ def __call__(self): logger.debug("this_is_debug_info") logger.info("this_is_access_log", extra={"serve_access_log": True}) - log_file = logger.handlers[1].baseFilename + log_file = logger.handlers[1].target.baseFilename return { "log_file": log_file, @@ -33,7 +33,7 @@ async def __call__(self): logger.debug("this_is_debug_info_from_router") log_info = await self.handle.remote() if len(logger.handlers) == 2: - log_info["router_log_file"] = logger.handlers[1].baseFilename + log_info["router_log_file"] = logger.handlers[1].target.baseFilename else: log_info["router_log_file"] = None log_info["router_log_level"] = logger.level @@ -55,7 +55,7 @@ async def __call__(self): class ModelWithConfig: def __call__(self): logger.debug("this_is_debug_info") - log_file = logger.handlers[1].baseFilename + log_file = logger.handlers[1].target.baseFilename return {"log_file": log_file} diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 4e3ab02d1776..8fb6cf4de7db 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -88,9 +88,11 @@ def __call__(self): handlers = logger.handlers res = {} for handler in handlers: - if isinstance(handler, logging.handlers.RotatingFileHandler): - res["max_bytes"] = handler.maxBytes - res["backup_count"] = handler.backupCount + if isinstance(handler, logging.handlers.MemoryHandler): + target = handler.target + assert isinstance(target, logging.handlers.RotatingFileHandler) + res["max_bytes"] = target.maxBytes + res["backup_count"] = target.backupCount return res handle = serve.run(Handle.bind()) @@ -248,7 +250,10 @@ def test_user_logs(serve_instance): def fn(*args): logger.info(stderr_msg) logger.info(log_file_msg, extra={"log_to_stderr": False}) - return serve.get_replica_context().replica_id, logger.handlers[1].baseFilename + return ( + serve.get_replica_context().replica_id, + logger.handlers[1].target.baseFilename, + ) handle = serve.run(fn.bind()) @@ -346,7 +351,7 @@ def fn(*args): "request_id": request_context.request_id, "route": request_context.route, "app_name": request_context.app_name, - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, "replica": serve.get_replica_context().replica_id.unique_id, "actor_id": ray.get_runtime_context().get_actor_id(), "worker_id": ray.get_runtime_context().get_worker_id(), @@ -367,7 +372,7 @@ def __call__(self, req: starlette.requests.Request): "request_id": request_context.request_id, "route": request_context.route, "app_name": request_context.app_name, - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, "replica": serve.get_replica_context().replica_id.unique_id, "actor_id": ray.get_runtime_context().get_actor_id(), "worker_id": ray.get_runtime_context().get_worker_id(), @@ -478,7 +483,7 @@ def fn(*args): extra={"k1": "my_v1", SERVE_LOG_EXTRA_FIELDS: {"k2": "my_v2"}}, ) return { - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, } serve.run(fn.bind(), name="app1", route_prefix="/fn") @@ -539,7 +544,7 @@ def test_encoding(self, serve_and_ray_shutdown, encoding_type): class Model: def __call__(self, req: starlette.requests.Request): return { - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, "replica": serve.get_replica_context().replica_id.unique_id, } @@ -562,7 +567,7 @@ def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") logger.debug("model_debug_level") return { - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, } serve.run(Model.bind()) @@ -586,9 +591,14 @@ def test_logs_dir(self, serve_and_ray_shutdown): class Model: def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") - return { - "logs_path": logger.handlers[1].baseFilename, - } + for handler in logger.handlers: + if isinstance(handler, logging.handlers.MemoryHandler): + target = handler.target + assert isinstance(target, logging.handlers.RotatingFileHandler) + return { + "logs_path": target.baseFilename, + } + raise AssertionError("No memory handler found") serve.run(Model.bind()) resp = httpx.get("http://127.0.0.1:8000/").json() @@ -626,7 +636,7 @@ def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") logger.info("model_not_show", extra={"serve_access_log": True}) return { - "logs_path": logger.handlers[1].baseFilename, + "logs_path": logger.handlers[1].target.baseFilename, } serve.run(Model.bind()) @@ -660,7 +670,7 @@ def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") logger.info("model_not_show", extra={"serve_access_log": True}) return { - "logs_path": logger.handlers[1].baseFilename, + "logs_path": logger.handlers[1].target.baseFilename, } serve.run(Model.bind()) @@ -681,7 +691,7 @@ def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") logger.debug("model_debug_level") return { - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, } serve.run(Model.bind(), logging_config={"log_level": "DEBUG"}) @@ -699,7 +709,7 @@ def __call__(self, req: starlette.requests.Request): logger.info("model_info_level") logger.debug("model_debug_level") return { - "log_file": logger.handlers[1].baseFilename, + "log_file": logger.handlers[1].target.baseFilename, } serve.run( @@ -824,11 +834,11 @@ def test_configure_component_logger_with_log_encoding_env_text(log_encoding): ) for handler in logger.handlers: - if isinstance(handler, logging.handlers.RotatingFileHandler): + if isinstance(handler, logging.handlers.MemoryHandler): if expected_encoding == EncodingType.JSON: - assert isinstance(handler.formatter, JSONFormatter) + assert isinstance(handler.target.formatter, JSONFormatter) else: - assert isinstance(handler.formatter, ServeFormatter) + assert isinstance(handler.target.formatter, ServeFormatter) # Clean up logger handlers logger.handlers.clear() From a0f10bbe82c1a070465c47623677b27a34a9f244 Mon Sep 17 00:00:00 2001 From: angelinalg <122562471+angelinalg@users.noreply.github.com> Date: Wed, 2 Jul 2025 16:43:57 -0700 Subject: [PATCH 0024/1566] fix toctree for object detection README (#54290) Signed-off-by: Douglas Strodtman --- .../examples/object-detection/README.ipynb | 40 +------------------ 1 file changed, 1 insertion(+), 39 deletions(-) diff --git a/doc/source/ray-overview/examples/object-detection/README.ipynb b/doc/source/ray-overview/examples/object-detection/README.ipynb index d6fa1e20c2b5..bbb630871ec9 100644 --- a/doc/source/ray-overview/examples/object-detection/README.ipynb +++ b/doc/source/ray-overview/examples/object-detection/README.ipynb @@ -44,43 +44,6 @@ "Deploy the trained Faster R-CNN mask detector as a production-ready microservice using Ray Serve and FastAPI. Set up ingress, configure autoscaling and fractional GPU allocation, test the HTTP endpoint, and manage the service lifecycle both locally and through Anyscale Services.\n" ] }, - { - "cell_type": "markdown", - "id": "e8d4291e", - "metadata": {}, - "source": [ - "# Face mask detection pipeline\n", - "\n", - "This tutorial builds an end-to-end face mask detection pipeline that leverages distributed fine-tuning, large-scale batch inference, video analytics, and scalable serving:\n", - "\n", - "[1.object_detection_train.ipynb](1.object_detection_train.ipynb) \n", - "Fine-tune a pre-trained Faster R-CNN model on a face mask dataset in Pascal Visual Object Classes (VOC) format using Ray Train. Parse XML annotations with Ray Data, retrieve images from S3, run a distributed training loop, checkpoint the model, and visualize inference results. \n", - "\n", - "\n", - "[2.object_detection_batch_inference_eval.ipynb](2.object_detection_batch_inference_eval.ipynb) \n", - "Load a fine-tuned model from S3 into Anyscale cluster storage, perform GPU-accelerated batch inference on a test set with Ray Data, and calculate object detection metrics (mAP, IoU, recall) using TorchMetrics for comprehensive model evaluation. \n", - "\n", - "\n", - "[3.video_processing_batch_inference.ipynb](3.video_processing_batch_inference.ipynb) \n", - "Demonstrate a real-world video analytics workflow: read a video from S3, split it into frames, apply the detection model in parallel using Ray Data batch inference, draw bounding boxes and labels on each frame, and regenerate an annotated video for downstream consumption. \n", - "\n", - "\n", - "[4.object_detection_serve.ipynb](4.object_detection_serve.ipynb) \n", - "Deploy the trained Faster R-CNN mask detector as a production-ready microservice using Ray Serve and FastAPI. Set up ingress, configure autoscaling and fractional GPU allocation, test the HTTP endpoint, and manage the service lifecycle both locally and through Anyscale Services.\n" - ] - }, { "cell_type": "markdown", "id": "3bfdc056", @@ -93,7 +56,6 @@ "2.object_detection_batch_inference_eval\n", "3.video_processing_batch_inference\n", "4.object_detection_serve\n", - "\n", "```" ] } @@ -104,5 +66,5 @@ } }, "nbformat": 4, - "nbformat_minor": 5 + "nbformat_minor": 2 } From ac43f0403b90628cd0ca9a68be787f1f993e122b Mon Sep 17 00:00:00 2001 From: lkchen Date: Wed, 2 Jul 2025 18:55:50 -0500 Subject: [PATCH 0025/1566] [data.llm][Bugfix] Fix doc to only support int `concurrency` (#54196) Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/batch/processor/base.py | 8 +++----- .../batch/processor/vllm_engine_proc.py | 11 ++++++----- .../batch/cpu/processor/test_processor_base.py | 16 ++++++++++++++++ 3 files changed, 25 insertions(+), 10 deletions(-) diff --git a/python/ray/llm/_internal/batch/processor/base.py b/python/ray/llm/_internal/batch/processor/base.py index e0ba4d225d55..6e783fa2098f 100644 --- a/python/ray/llm/_internal/batch/processor/base.py +++ b/python/ray/llm/_internal/batch/processor/base.py @@ -1,6 +1,6 @@ import logging from collections import OrderedDict -from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union +from typing import Any, Callable, Dict, List, Optional, Type from pydantic import Field @@ -45,11 +45,9 @@ class ProcessorConfig(BaseModelExtended): description="The accelerator type used by the LLM stage in a processor. " "Default to None, meaning that only the CPU will be used.", ) - concurrency: Optional[Union[int, Tuple[int, int]]] = Field( + concurrency: Optional[int] = Field( default=1, - description="The number of workers for data parallelism. Default to 1." - "If ``concurrency`` is a tuple ``(m, n)``, Ray will use an autoscaling actor pool from" - " ``m`` to ``n`` workers.", + description="The number of workers for data parallelism. Default to 1.", ) class Config: diff --git a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py index f0ba0e192e98..af7c97baf0df 100644 --- a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py @@ -88,13 +88,12 @@ def build_vllm_engine_processor( stages = [] if isinstance(config.concurrency, int): - processor_concurrency = (1, config.concurrency) # copied from previous logic - elif isinstance(config.concurrency, tuple): - processor_concurrency = config.concurrency + # For CPU-only stages, we leverage auto-scaling to recycle resources. + processor_concurrency = (1, config.concurrency) else: raise ValueError( - "``concurrency`` is expected to be set as an integer or a " - f"tuple of integers, but got: {config.concurrency}." + "``concurrency`` is expected to be set as an integer," + f" but got: {config.concurrency}." ) if config.has_image: @@ -158,6 +157,8 @@ def build_vllm_engine_processor( # which initiates enough many overlapping UDF calls per actor, to # saturate `max_concurrency`. compute=ray.data.ActorPoolStrategy( + # vLLM start up time is significant, so if user give fixed + # concurrency, start all instances without auto-scaling. min_size=config.concurrency, max_size=config.concurrency, max_tasks_in_flight_per_actor=max( diff --git a/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py b/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py index afb8d9e4b17b..4e2b64323c64 100644 --- a/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py +++ b/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py @@ -1,9 +1,11 @@ import sys from typing import Any, AsyncIterator, Dict, List, Type +import pydantic import pytest import ray +from ray.llm._internal.batch.processor import vLLMEngineProcessorConfig from ray.llm._internal.batch.processor.base import ( Processor, ProcessorBuilder, @@ -186,5 +188,19 @@ def overrider(name: str, stage: StatefulStage): ) +class TestProcessorConfig: + def test_valid_concurrency(self): + + with pytest.raises(pydantic.ValidationError, match="should be a valid integer"): + config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + concurrency=(1, 2), + ) + config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + ) + assert config.concurrency == 1 + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From f419d01a875228c0f4eacc6592d48fe75eaa4b79 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 2 Jul 2025 18:24:30 -0700 Subject: [PATCH 0026/1566] [serve] Add arguments (#54295) Add `request_metadata` arg Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index cb699b8bab30..df323fa92b3a 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -288,13 +288,13 @@ def set_autoscaling_config(self, autoscaling_config: Optional[AutoscalingConfig] ), ) - def inc_num_ongoing_requests(self) -> int: + def inc_num_ongoing_requests(self, request_metadata: RequestMetadata) -> int: """Increment the current total queue length of requests for this replica.""" self._num_ongoing_requests += 1 if not self._cached_metrics_enabled: self._num_ongoing_requests_gauge.set(self._num_ongoing_requests) - def dec_num_ongoing_requests(self) -> int: + def dec_num_ongoing_requests(self, request_metadata: RequestMetadata) -> int: """Decrement the current total queue length of requests for this replica.""" self._num_ongoing_requests -= 1 if not self._cached_metrics_enabled: @@ -509,7 +509,7 @@ def _status_code_callback(s: str): status_code = s try: - self._metrics_manager.inc_num_ongoing_requests() + self._metrics_manager.inc_num_ongoing_requests(request_metadata) yield _status_code_callback except asyncio.CancelledError as e: user_exception = e @@ -519,7 +519,7 @@ def _status_code_callback(s: str): logger.exception("Request failed.") self._on_request_failed(request_metadata, e) finally: - self._metrics_manager.dec_num_ongoing_requests() + self._metrics_manager.dec_num_ongoing_requests(request_metadata) latency_ms = (time.time() - start_time) * 1000 self._record_errors_and_metrics( From c747052764c08f6fd00e02bca2d2dc3620713f80 Mon Sep 17 00:00:00 2001 From: angelinalg <122562471+angelinalg@users.noreply.github.com> Date: Wed, 2 Jul 2025 18:25:48 -0700 Subject: [PATCH 0027/1566] modify example names to be modality based (#54297) Signed-off-by: Douglas Strodtman --- .../examples/e2e-audio/README.ipynb | 2 +- .../ray-overview/examples/e2e-audio/README.md | 4 +-- .../e2e-multimodal-ai-workloads/README.ipynb | 2 +- .../e2e-multimodal-ai-workloads/README.md | 20 ++++++------- .../examples/e2e-rag/README.ipynb | 2 +- .../ray-overview/examples/e2e-rag/README.md | 28 +++++++++---------- .../examples/e2e-timeseries/README.ipynb | 2 +- .../examples/e2e-timeseries/README.md | 20 ++++++------- .../examples/e2e-xgboost/README.ipynb | 2 +- .../examples/e2e-xgboost/README.md | 22 ++++----------- .../entity-recognition-with-llms/README.ipynb | 2 +- .../entity-recognition-with-llms/README.md | 2 +- .../examples/object-detection/README.ipynb | 2 +- .../examples/object-detection/README.md | 22 +++++++-------- 14 files changed, 61 insertions(+), 71 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-audio/README.ipynb b/doc/source/ray-overview/examples/e2e-audio/README.ipynb index eb13691d9ed3..40456a3ad916 100644 --- a/doc/source/ray-overview/examples/e2e-audio/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-audio/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Audio dataset curation with offline batch inference\n", + "# Audio batch inference\n", "\n", "
\n", " \n", diff --git a/doc/source/ray-overview/examples/e2e-audio/README.md b/doc/source/ray-overview/examples/e2e-audio/README.md index 95e8258b048c..9ccf74f66f07 100644 --- a/doc/source/ray-overview/examples/e2e-audio/README.md +++ b/doc/source/ray-overview/examples/e2e-audio/README.md @@ -1,4 +1,4 @@ -# Audio dataset curation with offline batch inference +# Audio batch inference
  @@ -208,7 +208,7 @@ judge_config = vLLMEngineProcessorConfig( "enable_chunked_prefill": True, "max_num_batched_tokens": 1028, "max_model_len": 4096, - "guided_decoding_backend": "auto", + "guided_decoding_backend": "xgrammar", "dtype": torch.float16, }, concurrency=3, diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb index 48f2329fc12a..ca008fa668d5 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Image semantic search and classification\n" + "# Multi-modal AI pipeline\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md index aa7bca2fece5..7b8a884cacca 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md @@ -1,16 +1,7 @@ -# Image semantic search and classification +# Multi-modal AI pipeline -```{toctree} -:hidden: - -notebooks/01-Batch-Inference -notebooks/02-Distributed-Training -notebooks/03-Online-Serving -``` - -
    @@ -53,3 +44,12 @@ Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anysca ## No infrastructure headaches Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard). Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). + + +```{toctree} +:hidden: + +notebooks/01-Batch-Inference +notebooks/02-Distributed-Training +notebooks/03-Online-Serving +``` diff --git a/doc/source/ray-overview/examples/e2e-rag/README.ipynb b/doc/source/ray-overview/examples/e2e-rag/README.ipynb index 907ceece5d8d..fb45bf4a2464 100644 --- a/doc/source/ray-overview/examples/e2e-rag/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# End-to-end RAG deep dive\n" + "# Distributed RAG pipeline\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-rag/README.md b/doc/source/ray-overview/examples/e2e-rag/README.md index 06d527c02f5f..a38ee99b7357 100644 --- a/doc/source/ray-overview/examples/e2e-rag/README.md +++ b/doc/source/ray-overview/examples/e2e-rag/README.md @@ -1,19 +1,6 @@ -# End-to-end RAG deep dive +# Distributed RAG pipeline -```{toctree} -:hidden: - -notebooks/01_(Optional)_Regular_Document_Processing_Pipeline -notebooks/02_Scalable_RAG_Data_Ingestion_with_Ray_Data -notebooks/03_Deploy_LLM_with_Ray_Serve -notebooks/04_Build_Basic_RAG_Chatbot -notebooks/05_Improve_RAG_with_Prompt_Engineering -notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference -notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference - -``` - This tutorial covers end-to-end Retrieval-Augmented Generation (RAG) pipelines using [Ray](https://docs.ray.io/), from data ingestion and LLM deployment to prompt engineering, evaluation and scaling out all workloads in the application. @@ -48,3 +35,16 @@ This tutorial covers end-to-end Retrieval-Augmented Generation (RAG) pipelines u > **Note:** Notebooks marked “(Optional)” cover complementary topics and can be skipped if you prefer to focus on the core RAG flow. + +```{toctree} +:hidden: + +notebooks/01_(Optional)_Regular_Document_Processing_Pipeline +notebooks/02_Scalable_RAG_Data_Ingestion_with_Ray_Data +notebooks/03_Deploy_LLM_with_Ray_Serve +notebooks/04_Build_Basic_RAG_Chatbot +notebooks/05_Improve_RAG_with_Prompt_Engineering +notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference +notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference + +``` diff --git a/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb b/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb index 40aa3bb974f8..3f0c5d7a9f40 100644 --- a/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-timeseries/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Time-series forecasting with DLinear\n" + "# Time-series forecasting\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-timeseries/README.md b/doc/source/ray-overview/examples/e2e-timeseries/README.md index 42d8911c3ee2..9dd0b461d580 100644 --- a/doc/source/ray-overview/examples/e2e-timeseries/README.md +++ b/doc/source/ray-overview/examples/e2e-timeseries/README.md @@ -1,15 +1,6 @@ -# Time-series forecasting with DLinear +# Time-series forecasting -```{toctree} -:hidden: - -e2e_timeseries/01-Distributed-Training -e2e_timeseries/02-Validation -e2e_timeseries/03-Serving - -``` -
  @@ -44,3 +35,12 @@ This repository is based on the official `DLinear` implementations: And the original publication: - ["Are Transformers Effective for Time Series Forecasting?"](https://arxiv.org/abs/2205.13504) + +```{toctree} +:hidden: + +e2e_timeseries/01-Distributed-Training +e2e_timeseries/02-Validation +e2e_timeseries/03-Serving + +``` diff --git a/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb b/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb index ca6ad79221f8..924ab1615163 100644 --- a/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-xgboost/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Classification with XGBoost\n" + "# Distributed XGBoost pipeline\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-xgboost/README.md b/doc/source/ray-overview/examples/e2e-xgboost/README.md index aed96c41f20a..b1bb4a7ae468 100644 --- a/doc/source/ray-overview/examples/e2e-xgboost/README.md +++ b/doc/source/ray-overview/examples/e2e-xgboost/README.md @@ -1,15 +1,6 @@ -# Classification with XGBoost +# Distributed XGBoost pipeline -```{toctree} -:hidden: - -notebooks/01-Distributed_Training -notebooks/02-Validation -notebooks/03-Serving - -``` -
  @@ -30,12 +21,11 @@ These tutorials implement an end-to-end XGBoost application including: - **Production deployment**: Create production batch [**Jobs**](https://docs.anyscale.com/platform/jobs/) for offline workloads including data prep, training, batch prediction, and potentially online [**Services**](https://docs.anyscale.com/platform/services/). +```{toctree} +:hidden: -# Dependencies - -To install the dependencies, run the following: +notebooks/01-Distributed_Training +notebooks/02-Validation +notebooks/03-Serving -```bash -pip install -r requirements.txt ``` - diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb index 3793eb3c2d60..34b75db367f7 100644 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Entity recognition with LLMs\n", + "# LLM training and inference\n", "\n", "\n", "\\\"Run\n", diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md index 152502cbc59a..c684310e8a39 100644 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md @@ -1,4 +1,4 @@ -# Entity recognition with LLMs +# LLM training and inference \"Run diff --git a/doc/source/ray-overview/examples/object-detection/README.ipynb b/doc/source/ray-overview/examples/object-detection/README.ipynb index bbb630871ec9..f87db2c25b29 100644 --- a/doc/source/ray-overview/examples/object-detection/README.ipynb +++ b/doc/source/ray-overview/examples/object-detection/README.ipynb @@ -5,7 +5,7 @@ "id": "b65c3788", "metadata": {}, "source": [ - "# Face mask detection pipeline\n" + "# Scalable video processing\n" ] }, { diff --git a/doc/source/ray-overview/examples/object-detection/README.md b/doc/source/ray-overview/examples/object-detection/README.md index a53eb7a6fd2d..bd4ae7a8b95f 100644 --- a/doc/source/ray-overview/examples/object-detection/README.md +++ b/doc/source/ray-overview/examples/object-detection/README.md @@ -1,15 +1,5 @@ -# Face mask detection pipeline - - -```{toctree} -:hidden: +# Scalable video processing -1.object_detection_train -2.object_detection_batch_inference_eval -3.video_processing_batch_inference -4.object_detection_serve - -``` This tutorial builds an end-to-end face mask detection pipeline that leverages distributed fine-tuning, large-scale batch inference, video analytics, and scalable serving: @@ -73,3 +63,13 @@ Demonstrate a real-world video analytics workflow: read a video from S3, split i [4.object_detection_serve.ipynb](4.object_detection_serve.ipynb) Deploy the trained Faster R-CNN mask detector as a production-ready microservice using Ray Serve and FastAPI. Set up ingress, configure autoscaling and fractional GPU allocation, test the HTTP endpoint, and manage the service lifecycle both locally and through Anyscale Services. + +```{toctree} +:hidden: + +1.object_detection_train +2.object_detection_batch_inference_eval +3.video_processing_batch_inference +4.object_detection_serve + +``` From fb7640e723b728b4f6969f1b45273bea6f9fee0a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 2 Jul 2025 19:08:22 -0700 Subject: [PATCH 0028/1566] [core] add digest for opentelemetry proto (#54300) so that the build is reproducible Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/ray_deps_setup.bzl | 1 + 1 file changed, 1 insertion(+) diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index b72b62bed53d..e98895248d38 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -228,6 +228,7 @@ def ray_deps_setup(): urls = ["https://github.com/open-telemetry/opentelemetry-proto/archive/refs/tags/v1.2.0.zip"], strip_prefix = "opentelemetry-proto-1.2.0", build_file = "@io_opentelemetry_cpp//bazel:opentelemetry_proto.BUILD", + sha256 = "b3cf4fefa4eaea43879ade612639fa7029c624c1b959f019d553b86ad8e01e82", ) # OpenCensus depends on Abseil so we have to explicitly pull it in. From f1beeac5d3d6043387d40dd493f93118c4db1d64 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Wed, 2 Jul 2025 22:24:58 -0700 Subject: [PATCH 0029/1566] [train][tune] add support for dynamically loading callbacks by environement variables (#54233) This PR adds support for loading callbacks via environment variables in both Ray Train and Ray Tune. This enables users to configure callbacks without modifying their training/tuning code, making it easier to add monitoring, logging, or other custom behaviors across different execution environments. --------- Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- python/ray/train/v2/BUILD | 16 +++ .../v2/_internal/callbacks/env_callback.py | 39 +++++++ python/ray/train/v2/_internal/constants.py | 3 + .../ray/train/v2/api/data_parallel_trainer.py | 24 ++-- .../ray/train/v2/tests/test_env_callbacks.py | 109 ++++++++++++++++++ python/ray/tune/BUILD | 11 ++ python/ray/tune/constants.py | 4 + python/ray/tune/tests/test_env_callbacks.py | 108 +++++++++++++++++ python/ray/tune/utils/callback.py | 40 +++++++ 9 files changed, 347 insertions(+), 7 deletions(-) create mode 100644 python/ray/train/v2/_internal/callbacks/env_callback.py create mode 100644 python/ray/train/v2/tests/test_env_callbacks.py create mode 100644 python/ray/tune/tests/test_env_callbacks.py diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index c4b3baac53c9..67b5e1205d41 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -85,6 +85,22 @@ py_test( ], ) +py_test( + name = "test_env_callbacks", + size = "small", + srcs = ["tests/test_env_callbacks.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_failure_policy", size = "small", diff --git a/python/ray/train/v2/_internal/callbacks/env_callback.py b/python/ray/train/v2/_internal/callbacks/env_callback.py new file mode 100644 index 000000000000..3a7489b2a2f9 --- /dev/null +++ b/python/ray/train/v2/_internal/callbacks/env_callback.py @@ -0,0 +1,39 @@ +import importlib +import os +from typing import List + +from ray.train.v2._internal.constants import RAY_TRAIN_CALLBACKS_ENV_VAR +from ray.train.v2._internal.execution.callback import RayTrainCallback + + +def _initialize_env_callbacks() -> List[RayTrainCallback]: + """Initialize callbacks from environment variable. + + Returns: + List of callbacks initialized from environment variable. + """ + callbacks = [] + callbacks_str = os.environ.get(RAY_TRAIN_CALLBACKS_ENV_VAR, "") + if not callbacks_str: + return callbacks + + for callback_path in callbacks_str.split(","): + callback_path = callback_path.strip() + if not callback_path: + continue + + try: + module_path, class_name = callback_path.rsplit(".", 1) + module = importlib.import_module(module_path) + callback_cls = getattr(module, class_name) + if not issubclass(callback_cls, RayTrainCallback): + raise TypeError( + f"Callback class '{callback_path}' must be a subclass of " + f"RayTrainCallback, got {type(callback_cls).__name__}" + ) + callback = callback_cls() + callbacks.append(callback) + except (ImportError, AttributeError, ValueError, TypeError) as e: + raise ValueError(f"Failed to import callback from '{callback_path}'") from e + + return callbacks diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index 7a0e224438b2..9a3dd0cd025c 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -59,6 +59,9 @@ DEFAULT_ENABLE_CONTROLLER_LOGGING = "1" DEFAULT_ENABLE_WORKER_LOGGING = "1" +# Environment variable for Train execution callbacks +RAY_TRAIN_CALLBACKS_ENV_VAR = "RAY_TRAIN_CALLBACKS" + # Environment variables to propagate from the driver to the controller, # and then from the controller to the workers. ENV_VARS_TO_PROPAGATE = { diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index e4ceb6ed1d6b..7facb1ad5808 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -29,6 +29,7 @@ WorkingDirectorySetupCallback, ) from ray.train.v2._internal.callbacks.datasets import GenDataset +from ray.train.v2._internal.callbacks.env_callback import _initialize_env_callbacks from ray.train.v2._internal.callbacks.metrics import ( ControllerMetricsCallback, WorkerMetricsCallback, @@ -141,6 +142,9 @@ def fit(self) -> Result: return result def _create_default_callbacks(self) -> List[RayTrainCallback]: + # Initialize callbacks from environment variable + callbacks = _initialize_env_callbacks() + accelerator_setup_callback = AcceleratorSetupCallback( self.backend_config, self.scaling_config ) @@ -150,11 +154,13 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: data_config=self.data_config, scaling_config=self.scaling_config, ) - callbacks = [ - accelerator_setup_callback, - backend_setup_callback, - datasets_setup_callback, - ] + callbacks.extend( + [ + accelerator_setup_callback, + backend_setup_callback, + datasets_setup_callback, + ] + ) if env_bool(RAY_CHDIR_TO_TRIAL_DIR, True): working_directory_setup_callback = WorkingDirectorySetupCallback() callbacks.append(working_directory_setup_callback) @@ -166,9 +172,13 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: if env_bool(RAY_TRAIN_ENABLE_STATE_TRACKING, False): callbacks.append(StateManagerCallback()) + run_config_callbacks = ( + self.run_config.callbacks if self.run_config.callbacks is not None else [] + ) + # Add internal callback that invokes all user-defined callbacks. user_callbacks = [ - cb for cb in self.run_config.callbacks if isinstance(cb, UserCallback) + cb for cb in run_config_callbacks if isinstance(cb, UserCallback) ] callbacks.append( UserCallbackHandler( @@ -179,7 +189,7 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: # Append all other callbacks to the full list. This allows custom workarounds # built on top of internal callbacks to work. callbacks.extend( - [cb for cb in self.run_config.callbacks if not isinstance(cb, UserCallback)] + [cb for cb in run_config_callbacks if not isinstance(cb, UserCallback)] ) return callbacks diff --git a/python/ray/train/v2/tests/test_env_callbacks.py b/python/ray/train/v2/tests/test_env_callbacks.py new file mode 100644 index 000000000000..98a3e711d575 --- /dev/null +++ b/python/ray/train/v2/tests/test_env_callbacks.py @@ -0,0 +1,109 @@ +import os +from unittest.mock import MagicMock, patch + +import pytest + +from ray.train.v2._internal.callbacks.env_callback import _initialize_env_callbacks +from ray.train.v2._internal.constants import RAY_TRAIN_CALLBACKS_ENV_VAR +from ray.train.v2._internal.execution.callback import RayTrainCallback + + +class MockCallback(RayTrainCallback): + pass + + +@pytest.mark.parametrize( + "env_value,expected_callback_count", + [ + ("my.module.Callback1", 1), + ("module1.Callback1,module2.Callback2", 2), + ("", 0), + (" ", 0), + ("module.Callback1, ,module.Callback2", 2), + ], +) +@patch("importlib.import_module") +def test_env_callbacks_loading(mock_import, env_value, expected_callback_count): + """Test loading execution callbacks from environment variable with various inputs.""" + if env_value: + with patch.dict(os.environ, {RAY_TRAIN_CALLBACKS_ENV_VAR: env_value}): + + mock_module = MagicMock() + mock_module.Callback1 = MockCallback + mock_module.Callback2 = MockCallback + mock_import.return_value = mock_module + + callbacks = _initialize_env_callbacks() + + assert len(callbacks) == expected_callback_count + for callback in callbacks: + assert isinstance(callback, RayTrainCallback) + + else: + with patch.dict( + os.environ, {RAY_TRAIN_CALLBACKS_ENV_VAR: env_value}, clear=True + ): + callbacks = _initialize_env_callbacks() + assert len(callbacks) == 0 + + +@pytest.mark.parametrize( + "env_value,original_error_type", + [ + ("invalid_module", ValueError), + ("module.Class", TypeError), + ("module.NonExistentClass", AttributeError), + ], +) +@patch("importlib.import_module") +def test_callback_loading_errors(mock_import, env_value, original_error_type): + """Test handling of various error conditions when loading callbacks.""" + with patch.dict(os.environ, {RAY_TRAIN_CALLBACKS_ENV_VAR: env_value}): + if "invalid_module" in env_value: + pass + elif "NonExistentClass" in env_value: + mock_module = MagicMock() + del mock_module.NonExistentClass + mock_import.return_value = mock_module + else: + mock_module = MagicMock() + + class RegularClass: + pass + + mock_module.Class = RegularClass + mock_import.return_value = mock_module + + with pytest.raises( + ValueError, match=f"Failed to import callback from '{env_value}'" + ) as exc_info: + _initialize_env_callbacks() + + assert isinstance(exc_info.value.__cause__, original_error_type) + + +def test_import_error_handling(): + """Test handling of import errors when loading callbacks.""" + with patch.dict( + os.environ, {RAY_TRAIN_CALLBACKS_ENV_VAR: "nonexistent.module.TestCallback"} + ): + with pytest.raises( + ValueError, + match="Failed to import callback from 'nonexistent.module.TestCallback'", + ): + _initialize_env_callbacks() + + +def test_no_env_variable(): + """Test that no callbacks are loaded when environment variable is not set.""" + if RAY_TRAIN_CALLBACKS_ENV_VAR in os.environ: + del os.environ[RAY_TRAIN_CALLBACKS_ENV_VAR] + + callbacks = _initialize_env_callbacks() + assert len(callbacks) == 0 + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/tune/BUILD b/python/ray/tune/BUILD index 2fc51118a57f..60247d22ee81 100644 --- a/python/ray/tune/BUILD +++ b/python/ray/tune/BUILD @@ -151,6 +151,17 @@ py_test( deps = [":tune_lib"], ) +py_test( + name = "test_env_callbacks", + size = "small", + srcs = ["tests/test_env_callbacks.py"], + tags = [ + "exclusive", + "team:ml", + ], + deps = [":tune_lib"], +) + py_test( name = "test_experiment", size = "small", diff --git a/python/ray/tune/constants.py b/python/ray/tune/constants.py index 36caebcf3aaf..a71580b342a2 100644 --- a/python/ray/tune/constants.py +++ b/python/ray/tune/constants.py @@ -2,6 +2,9 @@ # Environment Variables # ================================================== +# Environment variable for Tune execution callbacks +RAY_TUNE_CALLBACKS_ENV_VAR = "RAY_TUNE_CALLBACKS" + # NOTE: When adding a new environment variable, please track it in this list. TUNE_ENV_VARS = { "RAY_AIR_LOCAL_CACHE_DIR", @@ -29,4 +32,5 @@ "TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S", "TUNE_STATE_REFRESH_PERIOD", "TUNE_RESTORE_RETRY_NUM", + RAY_TUNE_CALLBACKS_ENV_VAR, } diff --git a/python/ray/tune/tests/test_env_callbacks.py b/python/ray/tune/tests/test_env_callbacks.py new file mode 100644 index 000000000000..edccfbde9533 --- /dev/null +++ b/python/ray/tune/tests/test_env_callbacks.py @@ -0,0 +1,108 @@ +import os +from unittest.mock import MagicMock, patch + +import pytest + +from ray.tune.constants import RAY_TUNE_CALLBACKS_ENV_VAR +from ray.tune.utils.callback import Callback, _initialize_env_callbacks + + +class MockCallback(Callback): + pass + + +@pytest.mark.parametrize( + "env_value,expected_callback_count", + [ + ("my.module.Callback1", 1), + ("module1.Callback1,module2.Callback2", 2), + ("", 0), + (" ", 0), + ("module.Callback1, ,module.Callback2", 2), + ], +) +@patch("importlib.import_module") +def test_env_callbacks_loading(mock_import, env_value, expected_callback_count): + """Test loading execution callbacks from environment variable with various inputs.""" + if env_value: + with patch.dict(os.environ, {RAY_TUNE_CALLBACKS_ENV_VAR: env_value}): + mock_module = MagicMock() + mock_module.Callback1 = MockCallback + mock_module.Callback2 = MockCallback + mock_import.return_value = mock_module + + callbacks = _initialize_env_callbacks() + + assert len(callbacks) == expected_callback_count + for callback in callbacks: + assert isinstance(callback, MockCallback) + else: + with patch.dict( + os.environ, {RAY_TUNE_CALLBACKS_ENV_VAR: env_value}, clear=True + ): + callbacks = _initialize_env_callbacks() + assert len(callbacks) == 0 + + +@pytest.mark.parametrize( + "env_value,original_error_type", + [ + ("invalid_module", ValueError), + ("module.Class", TypeError), + ("module.NonExistentClass", AttributeError), + ], +) +@patch("importlib.import_module") +def test_callback_loading_errors(mock_import, env_value, original_error_type): + """Test handling of various error conditions when loading callbacks.""" + with patch.dict(os.environ, {RAY_TUNE_CALLBACKS_ENV_VAR: env_value}): + if "invalid_module" in env_value: + pass + elif "NonExistentClass" in env_value: + mock_module = MagicMock() + del mock_module.NonExistentClass + mock_import.return_value = mock_module + else: + mock_module = MagicMock() + + class RegularClass: + pass + + mock_module.Class = RegularClass + mock_import.return_value = mock_module + + with pytest.raises( + ValueError, match=f"Failed to import callback from '{env_value}'" + ) as exc_info: + _initialize_env_callbacks() + + assert isinstance(exc_info.value.__cause__, original_error_type) + + +def test_import_error_handling(): + """Test handling of import errors when loading callbacks.""" + with patch.dict( + os.environ, {RAY_TUNE_CALLBACKS_ENV_VAR: "nonexistent.module.TestCallback"} + ): + with pytest.raises( + ValueError, + match="Failed to import callback from 'nonexistent.module.TestCallback'", + ) as exc_info: + _initialize_env_callbacks() + + assert isinstance(exc_info.value.__cause__, ImportError) + + +def test_no_env_variable(): + """Test that no callbacks are loaded when environment variable is not set.""" + if RAY_TUNE_CALLBACKS_ENV_VAR in os.environ: + del os.environ[RAY_TUNE_CALLBACKS_ENV_VAR] + + callbacks = _initialize_env_callbacks() + assert len(callbacks) == 0 + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/tune/utils/callback.py b/python/ray/tune/utils/callback.py index b53063b85ab9..b46d1da8b3dc 100644 --- a/python/ray/tune/utils/callback.py +++ b/python/ray/tune/utils/callback.py @@ -1,8 +1,10 @@ +import importlib import logging import os from typing import TYPE_CHECKING, Collection, List, Optional, Type, Union from ray.tune.callback import Callback, CallbackList +from ray.tune.constants import RAY_TUNE_CALLBACKS_ENV_VAR from ray.tune.logger import ( CSVLogger, CSVLoggerCallback, @@ -68,6 +70,11 @@ def _create_default_callbacks( """ callbacks = callbacks or [] + + # Initialize callbacks from environment variable + env_callbacks = _initialize_env_callbacks() + callbacks.extend(env_callbacks) + has_csv_logger = False has_json_logger = False has_tbx_logger = False @@ -141,3 +148,36 @@ def _create_default_callbacks( ) return callbacks + + +def _initialize_env_callbacks() -> List[Callback]: + """Initialize callbacks from environment variable. + + Returns: + List of callbacks initialized from environment variable. + """ + callbacks = [] + callbacks_str = os.environ.get(RAY_TUNE_CALLBACKS_ENV_VAR, "") + if not callbacks_str: + return callbacks + + for callback_path in callbacks_str.split(","): + callback_path = callback_path.strip() + if not callback_path: + continue + + try: + module_path, class_name = callback_path.rsplit(".", 1) + module = importlib.import_module(module_path) + callback_cls = getattr(module, class_name) + if not issubclass(callback_cls, Callback): + raise TypeError( + f"Callback class '{callback_path}' must be a subclass of " + f"Callback, got {type(callback_cls).__name__}" + ) + callback = callback_cls() + callbacks.append(callback) + except (ImportError, AttributeError, ValueError, TypeError) as e: + raise ValueError(f"Failed to import callback from '{callback_path}'") from e + + return callbacks From b9e6d51bf76d53d0b86c386f943f8db9ba8ab3bf Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 2 Jul 2025 22:41:41 -0700 Subject: [PATCH 0030/1566] [serve] rebalance serve CI tests (#54296) ## Why are these changes needed? Rebalance the tests so that one build doesn't take significantly longer than the other one. Split `test_deploy_app` and `test_metrics` since they are quite long. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 10 - python/ray/serve/tests/BUILD | 16 +- python/ray/serve/tests/conftest.py | 82 +- python/ray/serve/tests/test_deploy_app.py | 844 +----------------- python/ray/serve/tests/test_deploy_app_2.py | 820 ++++++++++++++++++ python/ray/serve/tests/test_metrics.py | 911 +------------------- python/ray/serve/tests/test_metrics_2.py | 869 +++++++++++++++++++ 7 files changed, 1795 insertions(+), 1757 deletions(-) create mode 100644 python/ray/serve/tests/test_deploy_app_2.py create mode 100644 python/ray/serve/tests/test_metrics_2.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 53011484a3c2..ff024c2de55c 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1433,12 +1433,6 @@ python/ray/exceptions.py DOC107: Method `ObjectLostError.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints DOC103: Method `ObjectLostError.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [call_site: , owner_address: ]. -------------------- -python/ray/experimental/array/distributed/linalg.py - DOC106: Function `tsqr`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `tsqr`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `modified_lu`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `modified_lu`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- python/ray/experimental/channel/auto_transport_type.py DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) @@ -1842,10 +1836,6 @@ python/ray/serve/tests/test_callback.py DOC402: Function `ray_instance` has "yield" statements, but the docstring does not have a "Yields" section DOC404: Function `ray_instance` yield type(s) in docstring not consistent with the return annotation. Return annotation exists, but docstring "yields" section does not exist or has 0 type(s). -------------------- -python/ray/serve/tests/test_metrics.py - DOC106: Method `TestRequestContextMetrics._generate_metrics_summary`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `TestRequestContextMetrics._generate_metrics_summary`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- python/ray/serve/tests/test_target_capacity.py DOC107: Method `TestTargetCapacityUpdateAndServeStatus.check_num_replicas`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints DOC201: Method `TestTargetCapacityUpdateAndServeStatus.check_num_replicas` does not have a return section in docstring diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index a443a9ea67af..e1b87c07b67d 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -39,8 +39,11 @@ py_test_module_list( "test_constructor_failure.py", "test_controller.py", "test_deployment_version.py", + "test_enable_task_events.py", "test_expected_versions.py", "test_http_cancellation.py", + "test_kv_store.py", + "test_long_poll.py", "test_persistence.py", "test_proxy.py", "test_proxy_actor_wrapper.py", @@ -69,6 +72,7 @@ py_test_module_list( "test_callback.py", "test_cluster.py", "test_controller_recovery.py", + "test_deploy_2.py", "test_deployment_scheduler.py", "test_failure.py", "test_handle_1.py", @@ -84,6 +88,7 @@ py_test_module_list( "test_proxy_response_generator.py", "test_ray_client.py", "test_record_routing_stats.py", + "test_regression.py", "test_replica_placement_group.py", "test_request_timeout.py", "test_streaming_response.py", @@ -127,7 +132,6 @@ py_test_module_list( files = [ "test_autoscaling_policy.py", "test_deploy.py", - "test_deploy_2.py", "test_grpc.py", "test_standalone.py", "test_standalone_3.py", @@ -183,16 +187,14 @@ py_test_module_list( ], ) -# Enormous tests. +# Run serially on Windows. py_test_module_list( - size = "enormous", + size = "medium", files = [ "test_deploy_app.py", - "test_enable_task_events.py", - "test_kv_store.py", - "test_long_poll.py", + "test_deploy_app_2.py", "test_metrics.py", - "test_regression.py", + "test_metrics_2.py", ], tags = [ "exclusive", diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index db086d496c0c..e1d82271b6cc 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -2,6 +2,7 @@ import random import subprocess import tempfile +from contextlib import contextmanager from copy import deepcopy import httpx @@ -10,20 +11,24 @@ import ray from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition +from ray._common.utils import reset_ray_address from ray._private.usage import usage_lib from ray.cluster_utils import AutoscalingCluster, Cluster +from ray.serve._private.constants import SERVE_NAMESPACE from ray.serve._private.test_utils import ( TELEMETRY_ROUTE_PREFIX, check_ray_started, check_ray_stopped, start_telemetry_app, ) +from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.context import _get_global_client from ray.tests.conftest import propagate_logs, pytest_runtest_makereport # noqa # https://tools.ietf.org/html/rfc6335#section-6 MIN_DYNAMIC_PORT = 49152 MAX_DYNAMIC_PORT = 65535 +TEST_METRICS_EXPORT_PORT = 9999 TEST_GRPC_SERVICER_FUNCTIONS = [ "ray.serve.generated.serve_pb2_grpc.add_UserDefinedServiceServicer_to_server", @@ -36,9 +41,13 @@ @pytest.fixture def ray_shutdown(): + serve.shutdown() + if ray.is_initialized(): + ray.shutdown() yield serve.shutdown() - ray.shutdown() + if ray.is_initialized(): + ray.shutdown() @pytest.fixture @@ -83,6 +92,44 @@ def ray_start(scope="module"): subprocess.check_output(["ray", "stop", "--force"]) +def _check_ray_stop(): + try: + httpx.get("http://localhost:8265/api/ray/version") + return False + except Exception: + return True + + +@contextmanager +def start_and_shutdown_ray_cli(): + subprocess.check_output(["ray", "stop", "--force"]) + wait_for_condition(_check_ray_stop, timeout=15) + subprocess.check_output(["ray", "start", "--head"]) + + yield + + subprocess.check_output(["ray", "stop", "--force"]) + wait_for_condition(_check_ray_stop, timeout=15) + + +@pytest.fixture(scope="module") +def start_and_shutdown_ray_cli_module(): + with start_and_shutdown_ray_cli(): + yield + + +# Used for `test_deploy_app` tests. +@pytest.fixture(scope="function") +def client(start_and_shutdown_ray_cli_module, ray_shutdown): + wait_for_condition( + lambda: httpx.get("http://localhost:8265/api/ray/version").status_code == 200, + timeout=15, + ) + ray.init(address="auto", namespace=SERVE_NAMESPACE) + serve.start() + yield _get_global_client() + + @pytest.fixture def tmp_dir(): with tempfile.TemporaryDirectory() as tmp_dir: @@ -258,3 +305,36 @@ def manage_ray_with_telemetry(monkeypatch): # Shut down Ray cluster with CLI subprocess.check_output(["ray", "stop", "--force"]) wait_for_condition(check_ray_stopped, timeout=5) + + +@pytest.fixture +def metrics_start_shutdown(request): + param = request.param if hasattr(request, "param") else None + request_timeout_s = param if param else None + """Fixture provides a fresh Ray cluster to prevent metrics state sharing.""" + ray.init( + _metrics_export_port=TEST_METRICS_EXPORT_PORT, + _system_config={ + "metrics_report_interval_ms": 100, + "task_retry_delay_ms": 50, + }, + ) + grpc_port = 9000 + grpc_servicer_functions = [ + "ray.serve.generated.serve_pb2_grpc.add_UserDefinedServiceServicer_to_server", + "ray.serve.generated.serve_pb2_grpc.add_FruitServiceServicer_to_server", + ] + yield serve.start( + grpc_options=gRPCOptions( + port=grpc_port, + grpc_servicer_functions=grpc_servicer_functions, + request_timeout_s=request_timeout_s, + ), + http_options=HTTPOptions( + host="0.0.0.0", + request_timeout_s=request_timeout_s, + ), + ) + serve.shutdown() + ray.shutdown() + reset_ray_address() diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 950d0d0fb64e..54db58f7843d 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -1,10 +1,5 @@ -import logging -import re -import subprocess import sys import time -from contextlib import contextmanager -from copy import copy from functools import partial from typing import Dict, List, Union @@ -17,17 +12,14 @@ from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.client import ServeControllerClient -from ray.serve._private.common import DeploymentID, DeploymentStatus, ReplicaID +from ray.serve._private.common import DeploymentID, DeploymentStatus from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( - check_num_replicas_eq, check_num_replicas_gte, check_num_replicas_lte, ) -from ray.serve.context import _get_global_client from ray.serve.schema import ( ApplicationStatus, - ServeApplicationSchema, ServeDeploySchema, ServeInstanceDetails, ) @@ -39,54 +31,6 @@ from ray.util.state import list_actors -@pytest.fixture -def shutdown_ray_and_serve(): - serve.shutdown() - if ray.is_initialized(): - ray.shutdown() - yield - serve.shutdown() - if ray.is_initialized(): - ray.shutdown() - - -@contextmanager -def start_and_shutdown_ray_cli(): - subprocess.check_output(["ray", "stop", "--force"]) - wait_for_condition(_check_ray_stop, timeout=15) - subprocess.check_output(["ray", "start", "--head"]) - - yield - - subprocess.check_output(["ray", "stop", "--force"]) - wait_for_condition(_check_ray_stop, timeout=15) - - -@pytest.fixture(scope="module") -def start_and_shutdown_ray_cli_module(): - with start_and_shutdown_ray_cli(): - yield - - -def _check_ray_stop(): - try: - httpx.get("http://localhost:8265/api/ray/version") - return False - except Exception: - return True - - -@pytest.fixture(scope="function") -def client(start_and_shutdown_ray_cli_module, shutdown_ray_and_serve): - wait_for_condition( - lambda: httpx.get("http://localhost:8265/api/ray/version").status_code == 200, - timeout=15, - ) - ray.init(address="auto", namespace=SERVE_NAMESPACE) - serve.start() - yield _get_global_client() - - def check_running(): assert ( serve.status().applications[SERVE_DEFAULT_APP_NAME].status @@ -518,42 +462,6 @@ def check_app(deployments): ) -def test_controller_recover_and_deploy(client: ServeControllerClient): - """Ensure that in-progress deploy can finish even after controller dies.""" - - signal = SignalActor.options(name="signal123").remote() - - config_json = { - "applications": [ - { - "name": SERVE_DEFAULT_APP_NAME, - "import_path": "ray.serve.tests.test_config_files.hangs.app", - } - ] - } - config = ServeDeploySchema.parse_obj(config_json) - client.deploy_apps(config) - - wait_for_condition( - lambda: serve.status().applications["default"].status == "DEPLOYING" - ) - ray.kill(client._controller, no_restart=False) - - signal.send.remote() - - # When controller restarts, it should redeploy config automatically - wait_for_condition( - lambda: httpx.get("http://localhost:8000/").text == "hello world" - ) - - serve.shutdown() - serve.start() - client = _get_global_client() - - # Ensure config checkpoint has been deleted - assert SERVE_DEFAULT_APP_NAME not in serve.status().applications - - @pytest.mark.parametrize( "field_to_update", ["import_path", "runtime_env", "ray_actor_options"], @@ -894,110 +802,6 @@ def test_deploy_separate_runtime_envs(client: ServeControllerClient): ) -def test_deploy_one_app_failed(client: ServeControllerClient): - """Deploy two applications with separate runtime envs.""" - - world_import_path = "ray.serve.tests.test_config_files.world.DagNode" - fail_import_path = "ray.serve.tests.test_config_files.fail.node" - config_template = { - "applications": [ - { - "name": "app1", - "route_prefix": "/app1", - "import_path": world_import_path, - }, - { - "name": "app2", - "route_prefix": "/app2", - "import_path": fail_import_path, - }, - ], - } - - client.deploy_apps(ServeDeploySchema(**config_template)) - - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").text == "wonderful world" - ) - - wait_for_condition( - lambda: serve.status().applications["app1"].status == ApplicationStatus.RUNNING - and serve.status().applications["app2"].status - == ApplicationStatus.DEPLOY_FAILED - ) - - # Ensure the request doesn't hang and actually returns a 503 error. - # The timeout is there to prevent the test from hanging and blocking - # the test suite if it does fail. - r = httpx.post("http://localhost:8000/app2", timeout=10) - assert r.status_code == 503 and "unavailable" in r.text - - -def test_deploy_with_route_prefix_conflict(client: ServeControllerClient): - world_import_path = "ray.serve.tests.test_config_files.world.DagNode" - pizza_import_path = "ray.serve.tests.test_config_files.pizza.serve_dag" - test_config = { - "applications": [ - { - "name": "app1", - "route_prefix": "/app1", - "import_path": world_import_path, - }, - { - "name": "app2", - "route_prefix": "/app2", - "import_path": pizza_import_path, - }, - ], - } - - client.deploy_apps(ServeDeploySchema(**test_config)) - - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" - ) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "4 pizzas please!" - ) - - # Buffer time - time.sleep(1) - - test_config["applications"][1] = { - "name": "app3", - "route_prefix": "/app2", - "import_path": world_import_path, - } - - client.deploy_apps(ServeDeploySchema(**test_config)) - - def check(): - serve_details = ServeInstanceDetails( - **ray.get(client._controller.get_serve_instance_details.remote()) - ) - app1_running = ( - "app1" in serve_details.applications - and serve_details.applications["app1"].status == "RUNNING" - ) - app3_running = ( - "app3" in serve_details.applications - and serve_details.applications["app3"].status == "RUNNING" - ) - app2_gone = "app2" not in serve_details.applications - return app1_running and app3_running and app2_gone - - wait_for_condition(check) - - # app1 and app3 should be up and running - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" - ) - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app2").text == "wonderful world" - ) - - def test_deploy_multi_app_deleting(client: ServeControllerClient): """Test deleting an application by removing from config.""" @@ -1064,51 +868,6 @@ def check_app_message(): wait_for_condition(check_app_message) -def test_deploy_with_no_applications(client: ServeControllerClient): - """Deploy an empty list of applications, serve should just be started.""" - - config = ServeDeploySchema.parse_obj({"applications": []}) - client.deploy_apps(config) - - def serve_running(): - ServeInstanceDetails.parse_obj( - ray.get(client._controller.get_serve_instance_details.remote()) - ) - actors = list_actors( - filters=[ - ("ray_namespace", "=", SERVE_NAMESPACE), - ("state", "=", "ALIVE"), - ] - ) - actor_names = [actor["class_name"] for actor in actors] - return "ServeController" in actor_names and "ProxyActor" in actor_names - - wait_for_condition(serve_running) - - -def test_deployments_not_listed_in_config(client: ServeControllerClient): - """Apply a config without the app's deployments listed. The deployments should - not redeploy. - """ - - config = { - "applications": [{"import_path": "ray.serve.tests.test_config_files.pid.node"}] - } - client.deploy_apps(ServeDeploySchema(**config)) - wait_for_condition(check_running, timeout=15) - pid1, _ = httpx.get("http://localhost:8000/").json() - - # Redeploy the same config (with no deployments listed) - client.deploy_apps(ServeDeploySchema(**config)) - wait_for_condition(check_running, timeout=15) - - # It should be the same replica actor - pids = [] - for _ in range(4): - pids.append(httpx.get("http://localhost:8000/").json()[0]) - assert all(pid == pid1 for pid in pids) - - def test_get_app_handle(client: ServeControllerClient): config = ServeDeploySchema.parse_obj(get_test_deploy_config()) client.deploy_apps(config) @@ -1120,606 +879,5 @@ def test_get_app_handle(client: ServeControllerClient): assert handle_2.route.remote("ADD", 2).result() == "5 pizzas please!" -@pytest.mark.parametrize("rebuild", [True, False]) -def test_redeploy_old_config_after_failed_deployment( - client: ServeControllerClient, rebuild -): - """ - 1. Deploy application which succeeds. - 2. Redeploy application with an import path that fails. - 3. Redeploy the exact same config from step 1. - - Verify that step 3 succeeds and the application returns to running state. - """ - - app_config = { - "name": "default", - "import_path": "ray.serve.tests.test_config_files.world.DagNode", - } - client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - - def check_application_running(): - status = serve.status().applications["default"] - assert status.status == "RUNNING" - assert httpx.post("http://localhost:8000/").text == "wonderful world" - return True - - wait_for_condition(check_application_running) - - # Change config so that redeploy will error - new_app_config = copy(app_config) - if rebuild: - # New import path will cause an error upon importing app - new_app_config[ - "import_path" - ] = "ray.serve.tests.test_config_files.import_error.app" - err_msg = "ZeroDivisionError" - else: - # Set config for a nonexistent deployment - new_app_config["deployments"] = [{"name": "nonexistent", "num_replicas": 1}] - err_msg = "Deployment 'nonexistent' does not exist." - client.deploy_apps(ServeDeploySchema(**{"applications": [new_app_config]})) - - def check_deploy_failed(message): - status = serve.status().applications["default"] - assert status.status == "DEPLOY_FAILED" - assert message in status.message - return True - - wait_for_condition(check_deploy_failed, message=err_msg) - - # Redeploy old config - client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - - wait_for_condition(check_application_running) - - -def test_deploy_does_not_affect_dynamic_apps(client: ServeControllerClient): - """ - Deploy a set of apps via the declarative API (REST API) and then a dynamic - app via the imperative API (`serve.run`). - - Check that applying a new config via the declarative API does not affect - the app deployed using the imperative API. - """ - - config = ServeDeploySchema( - applications=[ - ServeApplicationSchema( - name="declarative-app-1", - route_prefix="/app-1", - import_path="ray.serve.tests.test_config_files.world.DagNode", - ), - ], - ) - client.deploy_apps(config) - - def check_application_running( - name: str, route_prefix: str, *, msg: str = "wonderful world" - ): - status = serve.status().applications[name] - assert status.status == "RUNNING" - assert httpx.post(f"http://localhost:8000{route_prefix}/").text == msg - return True - - wait_for_condition( - check_application_running, name="declarative-app-1", route_prefix="/app-1" - ) - - # Now `serve.run` a dynamic app. - @serve.deployment - class D: - def __call__(self, *args) -> str: - return "Hello!" - - serve.run(D.bind(), name="dynamic-app", route_prefix="/dynamic") - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - - # Add a new app via declarative API. - # Existing declarative app and dynamic app should not be affected. - config.applications.append( - ServeApplicationSchema( - name="declarative-app-2", - route_prefix="/app-2", - import_path="ray.serve.tests.test_config_files.world.DagNode", - ), - ) - client.deploy_apps(config) - - wait_for_condition( - check_application_running, name="declarative-app-2", route_prefix="/app-2" - ) - wait_for_condition( - check_application_running, name="declarative-app-1", route_prefix="/app-1" - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - - # Delete one of the apps via declarative API. - # Other declarative app and dynamic app should not be affected. - config.applications.pop(0) - client.deploy_apps(config) - - wait_for_condition( - check_application_running, name="declarative-app-2", route_prefix="/app-2" - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - - wait_for_condition(lambda: "declarative-app-1" not in serve.status().applications) - - # Now overwrite the declarative app with a dynamic app with the same name. - # On subsequent declarative apply, that app should not be affected. - serve.run(D.bind(), name="declarative-app-2", route_prefix="/app-2") - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", - ) - - config.applications = [ - ServeApplicationSchema( - name="declarative-app-1", - route_prefix="/app-1", - import_path="ray.serve.tests.test_config_files.world.DagNode", - ), - ] - client.deploy_apps(config) - - wait_for_condition( - check_application_running, - name="declarative-app-1", - route_prefix="/app-1", - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", - ) - - # Verify that the controller does not delete the dynamic apps on recovery. - ray.kill(client._controller, no_restart=False) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", - ) - - # Now overwrite the dynamic app with a declarative one and check that it gets - # deleted upon another apply that doesn't include it. - config.applications = [ - ServeApplicationSchema( - name="declarative-app-2", - route_prefix="/app-2", - import_path="ray.serve.tests.test_config_files.world.DagNode", - ), - ] - client.deploy_apps(config) - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - ) - - config.applications = [] - client.deploy_apps(config) - - wait_for_condition(lambda: "declarative-app-2" not in serve.status().applications) - - -def test_change_route_prefix(client: ServeControllerClient): - # Deploy application with route prefix /old - app_config = { - "name": "default", - "route_prefix": "/old", - "import_path": "ray.serve.tests.test_config_files.pid.node", - } - client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - - wait_for_condition(check_running) - pid1 = httpx.get("http://localhost:8000/old").json()[0] - - # Redeploy application with route prefix /new. - app_config["route_prefix"] = "/new" - client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - - # Check that the old route is gone and the response from the new route - # has the same PID (replica wasn't restarted). - def check_switched(): - # Old route should be gone - resp = httpx.get("http://localhost:8000/old") - assert "Path '/old' not found." in resp.text - - # Response from new route should be same PID - pid2 = httpx.get("http://localhost:8000/new").json()[0] - assert pid2 == pid1 - return True - - wait_for_condition(check_switched) - - -def test_num_replicas_auto_api(client: ServeControllerClient): - """Test setting only `num_replicas="auto"`.""" - - config_template = { - "import_path": "ray.serve.tests.test_config_files.pid.node", - "deployments": [{"name": "f", "num_replicas": "auto"}], - } - - client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) - wait_for_condition(check_running, timeout=15) - print("Application is RUNNING.") - check_num_replicas_eq("f", 1) - - app_details = client.get_serve_details()["applications"][SERVE_DEFAULT_APP_NAME] - deployment_config = app_details["deployments"]["f"]["deployment_config"] - assert "num_replicas" not in deployment_config - assert deployment_config["max_ongoing_requests"] == 5 - assert deployment_config["autoscaling_config"] == { - # Set by `num_replicas="auto"` - "target_ongoing_requests": 2.0, - "min_replicas": 1, - "max_replicas": 100, - # Untouched defaults - "look_back_period_s": 30.0, - "metrics_interval_s": 10.0, - "upscale_delay_s": 30.0, - "downscale_delay_s": 600.0, - "upscale_smoothing_factor": None, - "downscale_smoothing_factor": None, - "upscaling_factor": None, - "downscaling_factor": None, - "smoothing_factor": 1.0, - "initial_replicas": None, - } - - -def test_num_replicas_auto_basic(client: ServeControllerClient): - """Test `num_replicas="auto"` and the default values are used in autoscaling.""" - - signal = SignalActor.options(name="signal123").remote() - - config_template = { - "import_path": "ray.serve.tests.test_config_files.get_signal.app", - "deployments": [ - { - "name": "A", - "num_replicas": "auto", - "autoscaling_config": { - "look_back_period_s": 2.0, - "metrics_interval_s": 1.0, - "upscale_delay_s": 1.0, - }, - "graceful_shutdown_timeout_s": 1, - } - ], - } - - print(time.ctime(), "Deploying pid application.") - client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) - wait_for_condition(check_running, timeout=15) - print(time.ctime(), "Application is RUNNING.") - check_num_replicas_eq("A", 1) - - app_details = client.get_serve_details()["applications"][SERVE_DEFAULT_APP_NAME] - deployment_config = app_details["deployments"]["A"]["deployment_config"] - # Set by `num_replicas="auto"` - assert "num_replicas" not in deployment_config - assert deployment_config["max_ongoing_requests"] == 5 - assert deployment_config["autoscaling_config"] == { - # Set by `num_replicas="auto"` - "target_ongoing_requests": 2.0, - "min_replicas": 1, - "max_replicas": 100, - # Overrided by `autoscaling_config` - "look_back_period_s": 2.0, - "metrics_interval_s": 1.0, - "upscale_delay_s": 1.0, - # Untouched defaults - "downscale_delay_s": 600.0, - "upscale_smoothing_factor": None, - "downscale_smoothing_factor": None, - "upscaling_factor": None, - "downscaling_factor": None, - "smoothing_factor": 1.0, - "initial_replicas": None, - } - - h = serve.get_app_handle(SERVE_DEFAULT_APP_NAME) - for i in range(3): - [h.remote() for _ in range(2)] - - def check_num_waiters(target: int): - assert ray.get(signal.cur_num_waiters.remote()) == target - return True - - wait_for_condition(check_num_waiters, target=2 * (i + 1)) - print(time.time(), f"Number of waiters on signal reached {2*(i+1)}.") - wait_for_condition(check_num_replicas_eq, name="A", target=i + 1) - print(time.time(), f"Confirmed number of replicas are at {i+1}.") - - signal.send.remote() - - -def check_log_file(log_file: str, expected_regex: list): - with open(log_file, "r") as f: - s = f.read() - print(s) - for regex in expected_regex: - assert re.findall(regex, s) != [], f"Did not find pattern '{regex}' in {s}" - return True - - -class TestDeploywithLoggingConfig: - def get_deploy_config(self, model_within_logging_config: bool = False): - if model_within_logging_config: - path = "ray.serve.tests.test_config_files.logging_config_test.model2" - else: - path = "ray.serve.tests.test_config_files.logging_config_test.model" - return { - "applications": [ - { - "name": "app1", - "route_prefix": "/app1", - "import_path": path, - }, - ], - } - - @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) - def test_deploy_app_with_application_logging_config( - self, client: ServeControllerClient, encoding_type: str - ): - """Deploy application with application logging config""" - config_dict = self.get_deploy_config() - - config_dict["applications"][0]["logging_config"] = { - "encoding": encoding_type, - } - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - - resp = httpx.post("http://localhost:8000/app1").json() - - replica_id = resp["replica"].split("#")[-1] - if encoding_type == "JSON": - expected_log_regex = [f'"replica": "{replica_id}", '] - else: - expected_log_regex = [f".*{replica_id}.*"] - check_log_file(resp["log_file"], expected_log_regex) - - @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) - def test_deploy_app_with_deployment_logging_config( - self, client: ServeControllerClient, encoding_type: str - ): - """Deploy application with deployment logging config inside the yaml""" - config_dict = self.get_deploy_config() - - config_dict["applications"][0]["deployments"] = [ - { - "name": "Model", - "logging_config": { - "encoding": encoding_type, - }, - }, - ] - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - - resp = httpx.post("http://localhost:8000/app1").json() - - replica_id = resp["replica"].split("#")[-1] - if encoding_type == "JSON": - expected_log_regex = [f'"replica": "{replica_id}", '] - else: - expected_log_regex = [f".*{replica_id}.*"] - check_log_file(resp["log_file"], expected_log_regex) - - def test_deploy_app_with_deployment_logging_config_in_code( - self, - client: ServeControllerClient, - ): - """Deploy application with deployment logging config inside the code""" - config_dict = self.get_deploy_config(model_within_logging_config=True) - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - resp = httpx.post("http://localhost:8000/app1").json() - check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - - def test_overwritting_logging_config(self, client: ServeControllerClient): - """Overwrite the default logging config with application logging config""" - config_dict = self.get_deploy_config() - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - - def get_replica_info_format(replica_id: ReplicaID) -> str: - app_name = replica_id.deployment_id.app_name - deployment_name = replica_id.deployment_id.name - return f"{app_name}_{deployment_name} {replica_id.unique_id}" - - # By default, log level is "INFO" - r = httpx.post("http://localhost:8000/app1") - r.raise_for_status() - request_id = r.headers["X-Request-Id"] - replica_id = ReplicaID.from_full_id_str(r.json()["replica"]) - - # Make sure 'model_debug_level' log content does not exist. - with pytest.raises(AssertionError): - check_log_file(r.json()["log_file"], [".*this_is_debug_info.*"]) - - # Check the log formatting. - check_log_file( - r.json()["log_file"], - f" {get_replica_info_format(replica_id)} {request_id} ", - ) - - # Set log level to "DEBUG" - config_dict["applications"][0]["logging_config"] = { - "log_level": "DEBUG", - } - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - and httpx.post("http://localhost:8000/app1").json()["log_level"] - == logging.DEBUG, - ) - r = httpx.post("http://localhost:8000/app1") - r.raise_for_status() - request_id = r.headers["X-Request-Id"] - replica_id = ReplicaID.from_full_id_str(r.json()["replica"]) - check_log_file( - r.json()["log_file"], - [ - # Check for DEBUG-level log statement. - ".*this_is_debug_info.*", - # Check that the log formatting has remained the same. - f" {get_replica_info_format(replica_id)} {request_id} ", - ], - ) - - def test_not_overwritting_logging_config_in_yaml( - self, client: ServeControllerClient - ): - """Deployment logging config in yaml should not be overwritten - by application logging config. - """ - config_dict = self.get_deploy_config() - config_dict["applications"][0]["deployments"] = [ - { - "name": "Model", - "logging_config": { - "log_level": "DEBUG", - }, - }, - ] - config_dict["applications"][0]["logging_config"] = { - "log_level": "INFO", - } - - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - resp = httpx.post("http://localhost:8000/app1").json() - check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - - def test_not_overwritting_logging_config_in_code( - self, client: ServeControllerClient - ): - """Deployment logging config in code should not be overwritten - by application logging config. - """ - config_dict = self.get_deploy_config(model_within_logging_config=True) - config_dict["applications"][0]["logging_config"] = { - "log_level": "INFO", - } - - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - resp = httpx.post("http://localhost:8000/app1").json() - check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - - def test_logs_dir(self, client: ServeControllerClient): - - config_dict = self.get_deploy_config() - config_dict["applications"][0]["logging_config"] = { - "log_level": "DEBUG", - } - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - resp = httpx.get("http://127.0.0.1:8000/app1").json() - - # Construct a new path - # "/tmp/ray/session_xxx/logs/serve/new_dir" - paths = resp["log_file"].split("/") - paths[-1] = "new_dir" - new_log_dir = "/".join(paths) - - config_dict["applications"][0]["logging_config"] = { - "log_level": "DEBUG", - "logs_dir": new_log_dir, - } - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - and "new_dir" in httpx.get("http://127.0.0.1:8000/app1").json()["log_file"] - ) - resp = httpx.get("http://127.0.0.1:8000/app1").json() - # log content should be redirected to new file - check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - - @pytest.mark.parametrize("enable_access_log", [True, False]) - def test_access_log(self, client: ServeControllerClient, enable_access_log: bool): - - config_dict = self.get_deploy_config() - config_dict["applications"][0]["logging_config"] = { - "enable_access_log": enable_access_log, - } - config = ServeDeploySchema.parse_obj(config_dict) - client.deploy_apps(config) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").status_code == 200 - ) - resp = httpx.get("http://127.0.0.1:8000/app1") - assert resp.status_code == 200 - resp = resp.json() - if enable_access_log: - check_log_file(resp["log_file"], [".*this_is_access_log.*"]) - else: - with pytest.raises(AssertionError): - check_log_file(resp["log_file"], [".*this_is_access_log.*"]) - - if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py new file mode 100644 index 000000000000..bc2cc93b75c4 --- /dev/null +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -0,0 +1,820 @@ +import logging +import re +import sys +import time +from copy import copy + +import httpx +import pytest + +import ray +import ray._private.state +import ray.actor +from ray import serve +from ray._common.test_utils import SignalActor, wait_for_condition +from ray.serve._private.client import ServeControllerClient +from ray.serve._private.common import ReplicaID +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE +from ray.serve._private.test_utils import ( + check_num_replicas_eq, +) +from ray.serve.context import _get_global_client +from ray.serve.schema import ( + ApplicationStatus, + ServeApplicationSchema, + ServeDeploySchema, + ServeInstanceDetails, +) +from ray.serve.tests.test_deploy_app import check_running +from ray.tests.conftest import call_ray_stop_only # noqa: F401 +from ray.util.state import list_actors + + +def check_log_file(log_file: str, expected_regex: list): + with open(log_file, "r") as f: + s = f.read() + print(s) + for regex in expected_regex: + assert re.findall(regex, s) != [], f"Did not find pattern '{regex}' in {s}" + return True + + +class TestDeploywithLoggingConfig: + def get_deploy_config(self, model_within_logging_config: bool = False): + if model_within_logging_config: + path = "ray.serve.tests.test_config_files.logging_config_test.model2" + else: + path = "ray.serve.tests.test_config_files.logging_config_test.model" + return { + "applications": [ + { + "name": "app1", + "route_prefix": "/app1", + "import_path": path, + }, + ], + } + + @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) + def test_deploy_app_with_application_logging_config( + self, client: ServeControllerClient, encoding_type: str + ): + """Deploy application with application logging config""" + config_dict = self.get_deploy_config() + + config_dict["applications"][0]["logging_config"] = { + "encoding": encoding_type, + } + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + + resp = httpx.post("http://localhost:8000/app1").json() + + replica_id = resp["replica"].split("#")[-1] + if encoding_type == "JSON": + expected_log_regex = [f'"replica": "{replica_id}", '] + else: + expected_log_regex = [f".*{replica_id}.*"] + check_log_file(resp["log_file"], expected_log_regex) + + @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) + def test_deploy_app_with_deployment_logging_config( + self, client: ServeControllerClient, encoding_type: str + ): + """Deploy application with deployment logging config inside the yaml""" + config_dict = self.get_deploy_config() + + config_dict["applications"][0]["deployments"] = [ + { + "name": "Model", + "logging_config": { + "encoding": encoding_type, + }, + }, + ] + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + + resp = httpx.post("http://localhost:8000/app1").json() + + replica_id = resp["replica"].split("#")[-1] + if encoding_type == "JSON": + expected_log_regex = [f'"replica": "{replica_id}", '] + else: + expected_log_regex = [f".*{replica_id}.*"] + check_log_file(resp["log_file"], expected_log_regex) + + def test_deploy_app_with_deployment_logging_config_in_code( + self, + client: ServeControllerClient, + ): + """Deploy application with deployment logging config inside the code""" + config_dict = self.get_deploy_config(model_within_logging_config=True) + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + resp = httpx.post("http://localhost:8000/app1").json() + check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) + + def test_overwritting_logging_config(self, client: ServeControllerClient): + """Overwrite the default logging config with application logging config""" + config_dict = self.get_deploy_config() + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + + def get_replica_info_format(replica_id: ReplicaID) -> str: + app_name = replica_id.deployment_id.app_name + deployment_name = replica_id.deployment_id.name + return f"{app_name}_{deployment_name} {replica_id.unique_id}" + + # By default, log level is "INFO" + r = httpx.post("http://localhost:8000/app1") + r.raise_for_status() + request_id = r.headers["X-Request-Id"] + replica_id = ReplicaID.from_full_id_str(r.json()["replica"]) + + # Make sure 'model_debug_level' log content does not exist. + with pytest.raises(AssertionError): + check_log_file(r.json()["log_file"], [".*this_is_debug_info.*"]) + + # Check the log formatting. + check_log_file( + r.json()["log_file"], + f" {get_replica_info_format(replica_id)} {request_id} ", + ) + + # Set log level to "DEBUG" + config_dict["applications"][0]["logging_config"] = { + "log_level": "DEBUG", + } + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + and httpx.post("http://localhost:8000/app1").json()["log_level"] + == logging.DEBUG, + ) + r = httpx.post("http://localhost:8000/app1") + r.raise_for_status() + request_id = r.headers["X-Request-Id"] + replica_id = ReplicaID.from_full_id_str(r.json()["replica"]) + check_log_file( + r.json()["log_file"], + [ + # Check for DEBUG-level log statement. + ".*this_is_debug_info.*", + # Check that the log formatting has remained the same. + f" {get_replica_info_format(replica_id)} {request_id} ", + ], + ) + + def test_not_overwritting_logging_config_in_yaml( + self, client: ServeControllerClient + ): + """Deployment logging config in yaml should not be overwritten + by application logging config. + """ + config_dict = self.get_deploy_config() + config_dict["applications"][0]["deployments"] = [ + { + "name": "Model", + "logging_config": { + "log_level": "DEBUG", + }, + }, + ] + config_dict["applications"][0]["logging_config"] = { + "log_level": "INFO", + } + + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + resp = httpx.post("http://localhost:8000/app1").json() + check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) + + def test_not_overwritting_logging_config_in_code( + self, client: ServeControllerClient + ): + """Deployment logging config in code should not be overwritten + by application logging config. + """ + config_dict = self.get_deploy_config(model_within_logging_config=True) + config_dict["applications"][0]["logging_config"] = { + "log_level": "INFO", + } + + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + resp = httpx.post("http://localhost:8000/app1").json() + check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) + + def test_logs_dir(self, client: ServeControllerClient): + + config_dict = self.get_deploy_config() + config_dict["applications"][0]["logging_config"] = { + "log_level": "DEBUG", + } + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + resp = httpx.get("http://127.0.0.1:8000/app1").json() + + # Construct a new path + # "/tmp/ray/session_xxx/logs/serve/new_dir" + paths = resp["log_file"].split("/") + paths[-1] = "new_dir" + new_log_dir = "/".join(paths) + + config_dict["applications"][0]["logging_config"] = { + "log_level": "DEBUG", + "logs_dir": new_log_dir, + } + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + and "new_dir" in httpx.get("http://127.0.0.1:8000/app1").json()["log_file"] + ) + resp = httpx.get("http://127.0.0.1:8000/app1").json() + # log content should be redirected to new file + check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) + + @pytest.mark.parametrize("enable_access_log", [True, False]) + def test_access_log(self, client: ServeControllerClient, enable_access_log: bool): + + config_dict = self.get_deploy_config() + config_dict["applications"][0]["logging_config"] = { + "enable_access_log": enable_access_log, + } + config = ServeDeploySchema.parse_obj(config_dict) + client.deploy_apps(config) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").status_code == 200 + ) + resp = httpx.get("http://127.0.0.1:8000/app1") + assert resp.status_code == 200 + resp = resp.json() + if enable_access_log: + check_log_file(resp["log_file"], [".*this_is_access_log.*"]) + else: + with pytest.raises(AssertionError): + check_log_file(resp["log_file"], [".*this_is_access_log.*"]) + + +def test_deploy_with_no_applications(client: ServeControllerClient): + """Deploy an empty list of applications, serve should just be started.""" + + config = ServeDeploySchema.parse_obj({"applications": []}) + client.deploy_apps(config) + + def serve_running(): + ServeInstanceDetails.parse_obj( + ray.get(client._controller.get_serve_instance_details.remote()) + ) + actors = list_actors( + filters=[ + ("ray_namespace", "=", SERVE_NAMESPACE), + ("state", "=", "ALIVE"), + ] + ) + actor_names = [actor["class_name"] for actor in actors] + return "ServeController" in actor_names and "ProxyActor" in actor_names + + wait_for_condition(serve_running) + + +def test_deployments_not_listed_in_config(client: ServeControllerClient): + """Apply a config without the app's deployments listed. The deployments should + not redeploy. + """ + + config = { + "applications": [{"import_path": "ray.serve.tests.test_config_files.pid.node"}] + } + client.deploy_apps(ServeDeploySchema(**config)) + wait_for_condition(check_running, timeout=15) + pid1, _ = httpx.get("http://localhost:8000/").json() + + # Redeploy the same config (with no deployments listed) + client.deploy_apps(ServeDeploySchema(**config)) + wait_for_condition(check_running, timeout=15) + + # It should be the same replica actor + pids = [] + for _ in range(4): + pids.append(httpx.get("http://localhost:8000/").json()[0]) + assert all(pid == pid1 for pid in pids) + + +@pytest.mark.parametrize("rebuild", [True, False]) +def test_redeploy_old_config_after_failed_deployment( + client: ServeControllerClient, rebuild +): + """ + 1. Deploy application which succeeds. + 2. Redeploy application with an import path that fails. + 3. Redeploy the exact same config from step 1. + + Verify that step 3 succeeds and the application returns to running state. + """ + + app_config = { + "name": "default", + "import_path": "ray.serve.tests.test_config_files.world.DagNode", + } + client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) + + def check_application_running(): + status = serve.status().applications["default"] + assert status.status == "RUNNING" + assert httpx.post("http://localhost:8000/").text == "wonderful world" + return True + + wait_for_condition(check_application_running) + + # Change config so that redeploy will error + new_app_config = copy(app_config) + if rebuild: + # New import path will cause an error upon importing app + new_app_config[ + "import_path" + ] = "ray.serve.tests.test_config_files.import_error.app" + err_msg = "ZeroDivisionError" + else: + # Set config for a nonexistent deployment + new_app_config["deployments"] = [{"name": "nonexistent", "num_replicas": 1}] + err_msg = "Deployment 'nonexistent' does not exist." + client.deploy_apps(ServeDeploySchema(**{"applications": [new_app_config]})) + + def check_deploy_failed(message): + status = serve.status().applications["default"] + assert status.status == "DEPLOY_FAILED" + assert message in status.message + return True + + wait_for_condition(check_deploy_failed, message=err_msg) + + # Redeploy old config + client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) + + wait_for_condition(check_application_running) + + +def test_deploy_does_not_affect_dynamic_apps(client: ServeControllerClient): + """ + Deploy a set of apps via the declarative API (REST API) and then a dynamic + app via the imperative API (`serve.run`). + + Check that applying a new config via the declarative API does not affect + the app deployed using the imperative API. + """ + + config = ServeDeploySchema( + applications=[ + ServeApplicationSchema( + name="declarative-app-1", + route_prefix="/app-1", + import_path="ray.serve.tests.test_config_files.world.DagNode", + ), + ], + ) + client.deploy_apps(config) + + def check_application_running( + name: str, route_prefix: str, *, msg: str = "wonderful world" + ): + status = serve.status().applications[name] + assert status.status == "RUNNING" + assert httpx.post(f"http://localhost:8000{route_prefix}/").text == msg + return True + + wait_for_condition( + check_application_running, name="declarative-app-1", route_prefix="/app-1" + ) + + # Now `serve.run` a dynamic app. + @serve.deployment + class D: + def __call__(self, *args) -> str: + return "Hello!" + + serve.run(D.bind(), name="dynamic-app", route_prefix="/dynamic") + wait_for_condition( + check_application_running, + name="dynamic-app", + route_prefix="/dynamic", + msg="Hello!", + ) + + # Add a new app via declarative API. + # Existing declarative app and dynamic app should not be affected. + config.applications.append( + ServeApplicationSchema( + name="declarative-app-2", + route_prefix="/app-2", + import_path="ray.serve.tests.test_config_files.world.DagNode", + ), + ) + client.deploy_apps(config) + + wait_for_condition( + check_application_running, name="declarative-app-2", route_prefix="/app-2" + ) + wait_for_condition( + check_application_running, name="declarative-app-1", route_prefix="/app-1" + ) + wait_for_condition( + check_application_running, + name="dynamic-app", + route_prefix="/dynamic", + msg="Hello!", + ) + + # Delete one of the apps via declarative API. + # Other declarative app and dynamic app should not be affected. + config.applications.pop(0) + client.deploy_apps(config) + + wait_for_condition( + check_application_running, name="declarative-app-2", route_prefix="/app-2" + ) + wait_for_condition( + check_application_running, + name="dynamic-app", + route_prefix="/dynamic", + msg="Hello!", + ) + + wait_for_condition(lambda: "declarative-app-1" not in serve.status().applications) + + # Now overwrite the declarative app with a dynamic app with the same name. + # On subsequent declarative apply, that app should not be affected. + serve.run(D.bind(), name="declarative-app-2", route_prefix="/app-2") + wait_for_condition( + check_application_running, + name="declarative-app-2", + route_prefix="/app-2", + msg="Hello!", + ) + + config.applications = [ + ServeApplicationSchema( + name="declarative-app-1", + route_prefix="/app-1", + import_path="ray.serve.tests.test_config_files.world.DagNode", + ), + ] + client.deploy_apps(config) + + wait_for_condition( + check_application_running, + name="declarative-app-1", + route_prefix="/app-1", + ) + wait_for_condition( + check_application_running, + name="dynamic-app", + route_prefix="/dynamic", + msg="Hello!", + ) + wait_for_condition( + check_application_running, + name="declarative-app-2", + route_prefix="/app-2", + msg="Hello!", + ) + + # Verify that the controller does not delete the dynamic apps on recovery. + ray.kill(client._controller, no_restart=False) + wait_for_condition( + check_application_running, + name="dynamic-app", + route_prefix="/dynamic", + msg="Hello!", + ) + wait_for_condition( + check_application_running, + name="declarative-app-2", + route_prefix="/app-2", + msg="Hello!", + ) + + # Now overwrite the dynamic app with a declarative one and check that it gets + # deleted upon another apply that doesn't include it. + config.applications = [ + ServeApplicationSchema( + name="declarative-app-2", + route_prefix="/app-2", + import_path="ray.serve.tests.test_config_files.world.DagNode", + ), + ] + client.deploy_apps(config) + wait_for_condition( + check_application_running, + name="declarative-app-2", + route_prefix="/app-2", + ) + + config.applications = [] + client.deploy_apps(config) + + wait_for_condition(lambda: "declarative-app-2" not in serve.status().applications) + + +def test_change_route_prefix(client: ServeControllerClient): + # Deploy application with route prefix /old + app_config = { + "name": "default", + "route_prefix": "/old", + "import_path": "ray.serve.tests.test_config_files.pid.node", + } + client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) + + wait_for_condition(check_running) + pid1 = httpx.get("http://localhost:8000/old").json()[0] + + # Redeploy application with route prefix /new. + app_config["route_prefix"] = "/new" + client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) + + # Check that the old route is gone and the response from the new route + # has the same PID (replica wasn't restarted). + def check_switched(): + # Old route should be gone + resp = httpx.get("http://localhost:8000/old") + assert "Path '/old' not found." in resp.text + + # Response from new route should be same PID + pid2 = httpx.get("http://localhost:8000/new").json()[0] + assert pid2 == pid1 + return True + + wait_for_condition(check_switched) + + +def test_num_replicas_auto_api(client: ServeControllerClient): + """Test setting only `num_replicas="auto"`.""" + + config_template = { + "import_path": "ray.serve.tests.test_config_files.pid.node", + "deployments": [{"name": "f", "num_replicas": "auto"}], + } + + client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) + wait_for_condition(check_running, timeout=15) + print("Application is RUNNING.") + check_num_replicas_eq("f", 1) + + app_details = client.get_serve_details()["applications"][SERVE_DEFAULT_APP_NAME] + deployment_config = app_details["deployments"]["f"]["deployment_config"] + assert "num_replicas" not in deployment_config + assert deployment_config["max_ongoing_requests"] == 5 + assert deployment_config["autoscaling_config"] == { + # Set by `num_replicas="auto"` + "target_ongoing_requests": 2.0, + "min_replicas": 1, + "max_replicas": 100, + # Untouched defaults + "look_back_period_s": 30.0, + "metrics_interval_s": 10.0, + "upscale_delay_s": 30.0, + "downscale_delay_s": 600.0, + "upscale_smoothing_factor": None, + "downscale_smoothing_factor": None, + "upscaling_factor": None, + "downscaling_factor": None, + "smoothing_factor": 1.0, + "initial_replicas": None, + } + + +def test_num_replicas_auto_basic(client: ServeControllerClient): + """Test `num_replicas="auto"` and the default values are used in autoscaling.""" + + signal = SignalActor.options(name="signal123").remote() + + config_template = { + "import_path": "ray.serve.tests.test_config_files.get_signal.app", + "deployments": [ + { + "name": "A", + "num_replicas": "auto", + "autoscaling_config": { + "look_back_period_s": 2.0, + "metrics_interval_s": 1.0, + "upscale_delay_s": 1.0, + }, + "graceful_shutdown_timeout_s": 1, + } + ], + } + + print(time.ctime(), "Deploying pid application.") + client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) + wait_for_condition(check_running, timeout=15) + print(time.ctime(), "Application is RUNNING.") + check_num_replicas_eq("A", 1) + + app_details = client.get_serve_details()["applications"][SERVE_DEFAULT_APP_NAME] + deployment_config = app_details["deployments"]["A"]["deployment_config"] + # Set by `num_replicas="auto"` + assert "num_replicas" not in deployment_config + assert deployment_config["max_ongoing_requests"] == 5 + assert deployment_config["autoscaling_config"] == { + # Set by `num_replicas="auto"` + "target_ongoing_requests": 2.0, + "min_replicas": 1, + "max_replicas": 100, + # Overrided by `autoscaling_config` + "look_back_period_s": 2.0, + "metrics_interval_s": 1.0, + "upscale_delay_s": 1.0, + # Untouched defaults + "downscale_delay_s": 600.0, + "upscale_smoothing_factor": None, + "downscale_smoothing_factor": None, + "upscaling_factor": None, + "downscaling_factor": None, + "smoothing_factor": 1.0, + "initial_replicas": None, + } + + h = serve.get_app_handle(SERVE_DEFAULT_APP_NAME) + for i in range(3): + [h.remote() for _ in range(2)] + + def check_num_waiters(target: int): + assert ray.get(signal.cur_num_waiters.remote()) == target + return True + + wait_for_condition(check_num_waiters, target=2 * (i + 1)) + print(time.time(), f"Number of waiters on signal reached {2*(i+1)}.") + wait_for_condition(check_num_replicas_eq, name="A", target=i + 1) + print(time.time(), f"Confirmed number of replicas are at {i+1}.") + + signal.send.remote() + + +def test_deploy_one_app_failed(client: ServeControllerClient): + """Deploy two applications with separate runtime envs.""" + + world_import_path = "ray.serve.tests.test_config_files.world.DagNode" + fail_import_path = "ray.serve.tests.test_config_files.fail.node" + config_template = { + "applications": [ + { + "name": "app1", + "route_prefix": "/app1", + "import_path": world_import_path, + }, + { + "name": "app2", + "route_prefix": "/app2", + "import_path": fail_import_path, + }, + ], + } + + client.deploy_apps(ServeDeploySchema(**config_template)) + + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").text == "wonderful world" + ) + + wait_for_condition( + lambda: serve.status().applications["app1"].status == ApplicationStatus.RUNNING + and serve.status().applications["app2"].status + == ApplicationStatus.DEPLOY_FAILED + ) + + # Ensure the request doesn't hang and actually returns a 503 error. + # The timeout is there to prevent the test from hanging and blocking + # the test suite if it does fail. + r = httpx.post("http://localhost:8000/app2", timeout=10) + assert r.status_code == 503 and "unavailable" in r.text + + +def test_deploy_with_route_prefix_conflict(client: ServeControllerClient): + world_import_path = "ray.serve.tests.test_config_files.world.DagNode" + pizza_import_path = "ray.serve.tests.test_config_files.pizza.serve_dag" + test_config = { + "applications": [ + { + "name": "app1", + "route_prefix": "/app1", + "import_path": world_import_path, + }, + { + "name": "app2", + "route_prefix": "/app2", + "import_path": pizza_import_path, + }, + ], + } + + client.deploy_apps(ServeDeploySchema(**test_config)) + + wait_for_condition( + lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" + ) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text + == "4 pizzas please!" + ) + + # Buffer time + time.sleep(1) + + test_config["applications"][1] = { + "name": "app3", + "route_prefix": "/app2", + "import_path": world_import_path, + } + + client.deploy_apps(ServeDeploySchema(**test_config)) + + def check(): + serve_details = ServeInstanceDetails( + **ray.get(client._controller.get_serve_instance_details.remote()) + ) + app1_running = ( + "app1" in serve_details.applications + and serve_details.applications["app1"].status == "RUNNING" + ) + app3_running = ( + "app3" in serve_details.applications + and serve_details.applications["app3"].status == "RUNNING" + ) + app2_gone = "app2" not in serve_details.applications + return app1_running and app3_running and app2_gone + + wait_for_condition(check) + + # app1 and app3 should be up and running + wait_for_condition( + lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" + ) + wait_for_condition( + lambda: httpx.get("http://localhost:8000/app2").text == "wonderful world" + ) + + +def test_controller_recover_and_deploy(client: ServeControllerClient): + """Ensure that in-progress deploy can finish even after controller dies.""" + + signal = SignalActor.options(name="signal123").remote() + + config_json = { + "applications": [ + { + "name": SERVE_DEFAULT_APP_NAME, + "import_path": "ray.serve.tests.test_config_files.hangs.app", + } + ] + } + config = ServeDeploySchema.parse_obj(config_json) + client.deploy_apps(config) + + wait_for_condition( + lambda: serve.status().applications["default"].status == "DEPLOYING" + ) + ray.kill(client._controller, no_restart=False) + + signal.send.remote() + + # When controller restarts, it should redeploy config automatically + wait_for_condition( + lambda: httpx.get("http://localhost:8000/").text == "hello world" + ) + + serve.shutdown() + serve.start() + client = _get_global_client() + + # Ensure config checkpoint has been deleted + assert SERVE_DEFAULT_APP_NAME not in serve.status().applications + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index 4520f322febd..ed160eab74b5 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -1,10 +1,9 @@ import http import json import os -import random import sys import threading -from typing import DefaultDict, Dict, List, Optional +from typing import Dict, List, Optional import grpc import httpx @@ -19,59 +18,17 @@ import ray.util.state as state_api from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition -from ray._common.utils import reset_ray_address from ray._private.test_utils import ( fetch_prometheus_metrics, ) -from ray.serve._private.constants import DEFAULT_LATENCY_BUCKET_MS from ray.serve._private.long_poll import LongPollHost, UpdatedObject from ray.serve._private.test_utils import ( get_application_url, - ping_fruit_stand, ping_grpc_call_method, ping_grpc_list_applications, ) from ray.serve._private.utils import block_until_http_ready -from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.generated import serve_pb2, serve_pb2_grpc -from ray.serve.handle import DeploymentHandle -from ray.serve.metrics import Counter, Gauge, Histogram -from ray.serve.tests.test_config_files.grpc_deployment import g, g2 - -TEST_METRICS_EXPORT_PORT = 9999 - - -@pytest.fixture -def serve_start_shutdown(request): - param = request.param if hasattr(request, "param") else None - request_timeout_s = param if param else None - """Fixture provides a fresh Ray cluster to prevent metrics state sharing.""" - ray.init( - _metrics_export_port=TEST_METRICS_EXPORT_PORT, - _system_config={ - "metrics_report_interval_ms": 100, - "task_retry_delay_ms": 50, - }, - ) - grpc_port = 9000 - grpc_servicer_functions = [ - "ray.serve.generated.serve_pb2_grpc.add_UserDefinedServiceServicer_to_server", - "ray.serve.generated.serve_pb2_grpc.add_FruitServiceServicer_to_server", - ] - yield serve.start( - grpc_options=gRPCOptions( - port=grpc_port, - grpc_servicer_functions=grpc_servicer_functions, - request_timeout_s=request_timeout_s, - ), - http_options=HTTPOptions( - host="0.0.0.0", - request_timeout_s=request_timeout_s, - ), - ) - serve.shutdown() - ray.shutdown() - reset_ray_address() def extract_tags(line: str) -> Dict[str, str]: @@ -141,7 +98,7 @@ def check_sum_metric_eq( if tags is None: tags = {} - metrics = fetch_prometheus_metrics([f"localhost:{TEST_METRICS_EXPORT_PORT}"]) + metrics = fetch_prometheus_metrics(["localhost:9999"]) metrics = {k: v for k, v in metrics.items() if "ray_serve_" in k} metric_samples = metrics.get(metric_name, None) if metric_samples is None: @@ -214,7 +171,7 @@ def metric_available() -> bool: return metric_dicts -def test_serve_metrics_for_successful_connection(serve_start_shutdown): +def test_serve_metrics_for_successful_connection(metrics_start_shutdown): @serve.deployment(name="metrics") async def f(request): return "hello" @@ -280,7 +237,7 @@ def verify_metrics(do_assert=False): verify_metrics(do_assert=True) -def test_http_replica_gauge_metrics(serve_start_shutdown): +def test_http_replica_gauge_metrics(metrics_start_shutdown): """Test http replica gauge metrics""" signal = SignalActor.remote() @@ -313,7 +270,7 @@ def ensure_request_processing(): wait_for_condition(ensure_request_processing, timeout=5) -def test_proxy_metrics_not_found(serve_start_shutdown): +def test_proxy_metrics_not_found(metrics_start_shutdown): # NOTE: These metrics should be documented at # https://docs.ray.io/en/latest/serve/monitoring.html#metrics # Any updates here should be reflected there too. @@ -405,7 +362,7 @@ def verify_error_count(do_assert=False): verify_error_count(do_assert=True) -def test_proxy_metrics_internal_error(serve_start_shutdown): +def test_proxy_metrics_internal_error(metrics_start_shutdown): # NOTE: These metrics should be documented at # https://docs.ray.io/en/latest/serve/monitoring.html#metrics # Any updates here should be reflected there too. @@ -500,7 +457,7 @@ def verify_error_count(do_assert=False): verify_error_count(do_assert=True) -def test_proxy_metrics_fields_not_found(serve_start_shutdown): +def test_proxy_metrics_fields_not_found(metrics_start_shutdown): """Tests the proxy metrics' fields' behavior for not found.""" # Should generate 404 responses @@ -545,13 +502,13 @@ def test_proxy_metrics_fields_not_found(serve_start_shutdown): @pytest.mark.parametrize( - "serve_start_shutdown", + "metrics_start_shutdown", [ 1, ], indirect=True, ) -def test_proxy_timeout_metrics(serve_start_shutdown): +def test_proxy_timeout_metrics(metrics_start_shutdown): """Test that HTTP timeout metrics are reported correctly.""" signal = SignalActor.remote() @@ -592,7 +549,7 @@ async def return_status_code_with_timeout(request: Request): assert num_errors[0]["application"] == "status_code_timeout" -def test_proxy_disconnect_metrics(serve_start_shutdown): +def test_proxy_disconnect_metrics(metrics_start_shutdown): """Test that disconnect metrics are reported correctly.""" signal = SignalActor.remote() @@ -662,7 +619,7 @@ def make_request(): assert num_errors[0]["application"] == "disconnect" -def test_proxy_metrics_fields_internal_error(serve_start_shutdown): +def test_proxy_metrics_fields_internal_error(metrics_start_shutdown): """Tests the proxy metrics' fields' behavior for internal error.""" @serve.deployment() @@ -724,7 +681,7 @@ def f(*args): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows") -def test_proxy_metrics_http_status_code_is_error(serve_start_shutdown): +def test_proxy_metrics_http_status_code_is_error(metrics_start_shutdown): """Verify that 2xx and 3xx status codes aren't errors, others are.""" def check_request_count_metrics( @@ -799,7 +756,7 @@ async def return_status_code(request: Request): ) -def test_proxy_metrics_websocket_status_code_is_error(serve_start_shutdown): +def test_proxy_metrics_websocket_status_code_is_error(metrics_start_shutdown): """Verify that status codes aisde from 1000 or 1001 are errors.""" def check_request_count_metrics( @@ -881,7 +838,7 @@ async def accept_then_close(self, ws: WebSocket): ) -def test_replica_metrics_fields(serve_start_shutdown): +def test_replica_metrics_fields(metrics_start_shutdown): """Test replica metrics fields""" @serve.deployment @@ -994,544 +951,8 @@ def h(): } == expected_output -class TestRequestContextMetrics: - def _generate_metrics_summary(self, metrics): - """Generate "route" and "application" information from metrics. - Args: - metrics: List of metric dictionaries, each generated by the - get_metric_dictionaries function. - Returns: - Tuple[dict, dict]: - - The first dictionary maps deployment names to a set of routes. - - The second dictionary maps deployment names to application names. - """ - metrics_summary_route = DefaultDict(set) - metrics_summary_app = DefaultDict(str) - - for request_metrics in metrics: - metrics_summary_route[request_metrics["deployment"]].add( - request_metrics["route"] - ) - metrics_summary_app[request_metrics["deployment"]] = request_metrics[ - "application" - ] - return metrics_summary_route, metrics_summary_app - - def verify_metrics(self, metric, expected_output): - for key in expected_output: - assert metric[key] == expected_output[key] - - def test_request_context_pass_for_http_proxy(self, serve_start_shutdown): - """Test HTTP proxy passing request context""" - - @serve.deployment(graceful_shutdown_timeout_s=0.001) - def f(): - return "hello" - - @serve.deployment(graceful_shutdown_timeout_s=0.001) - def g(): - return "world" - - @serve.deployment(graceful_shutdown_timeout_s=0.001) - def h(): - return 1 / 0 - - serve.run(f.bind(), name="app1", route_prefix="/app1") - serve.run(g.bind(), name="app2", route_prefix="/app2") - serve.run(h.bind(), name="app3", route_prefix="/app3") - - resp = httpx.get("http://127.0.0.1:8000/app1") - assert resp.status_code == 200 - assert resp.text == "hello" - resp = httpx.get("http://127.0.0.1:8000/app2") - assert resp.status_code == 200 - assert resp.text == "world" - resp = httpx.get("http://127.0.0.1:8000/app3") - assert resp.status_code == 500 - - wait_for_condition( - lambda: len( - get_metric_dictionaries("serve_deployment_processing_latency_ms_sum") - ) - == 3, - timeout=40, - ) - - def wait_for_route_and_name( - metric_name: str, - deployment_name: str, - app_name: str, - route: str, - timeout: float = 5, - ): - """Waits for app name and route to appear in deployment's metric.""" - - def check(): - # Check replica qps & latency - ( - qps_metrics_route, - qps_metrics_app_name, - ) = self._generate_metrics_summary(get_metric_dictionaries(metric_name)) - assert qps_metrics_app_name[deployment_name] == app_name - assert qps_metrics_route[deployment_name] == {route} - return True - - wait_for_condition(check, timeout=timeout) - - # Check replica qps & latency - wait_for_route_and_name( - "serve_deployment_request_counter", "f", "app1", "/app1" - ) - wait_for_route_and_name( - "serve_deployment_request_counter", "g", "app2", "/app2" - ) - wait_for_route_and_name("serve_deployment_error_counter", "h", "app3", "/app3") - - # Check http proxy qps & latency - for metric_name in [ - "serve_num_http_requests", - "serve_http_request_latency_ms_sum", - ]: - metrics = get_metric_dictionaries(metric_name) - assert {metric["route"] for metric in metrics} == { - "/app1", - "/app2", - "/app3", - } - - for metric_name in [ - "serve_handle_request_counter", - "serve_num_router_requests", - "serve_deployment_processing_latency_ms_sum", - ]: - metrics_route, metrics_app_name = self._generate_metrics_summary( - get_metric_dictionaries(metric_name) - ) - msg = f"Incorrect metrics for {metric_name}" - assert metrics_route["f"] == {"/app1"}, msg - assert metrics_route["g"] == {"/app2"}, msg - assert metrics_route["h"] == {"/app3"}, msg - assert metrics_app_name["f"] == "app1", msg - assert metrics_app_name["g"] == "app2", msg - assert metrics_app_name["h"] == "app3", msg - - def test_request_context_pass_for_grpc_proxy(self, serve_start_shutdown): - """Test gRPC proxy passing request context""" - - @serve.deployment(graceful_shutdown_timeout_s=0.001) - class H: - def __call__(self, *args, **kwargs): - return 1 / 0 - - h = H.bind() - app_name1 = "app1" - depl_name1 = "grpc-deployment" - app_name2 = "app2" - depl_name2 = "grpc-deployment-model-composition" - app_name3 = "app3" - depl_name3 = "H" - serve.run(g, name=app_name1, route_prefix="/app1") - serve.run(g2, name=app_name2, route_prefix="/app2") - serve.run(h, name=app_name3, route_prefix="/app3") - - channel = grpc.insecure_channel("localhost:9000") - ping_grpc_call_method(channel, app_name1) - ping_fruit_stand(channel, app_name2) - with pytest.raises(grpc.RpcError): - ping_grpc_call_method(channel, app_name3) - - # app1 has 1 deployment, app2 has 3 deployments, and app3 has 1 deployment. - wait_for_condition( - lambda: len( - get_metric_dictionaries("serve_deployment_processing_latency_ms_sum") - ) - == 5, - timeout=40, - ) - - def wait_for_route_and_name( - _metric_name: str, - deployment_name: str, - app_name: str, - route: str, - timeout: float = 5, - ): - """Waits for app name and route to appear in deployment's metric.""" - - def check(): - # Check replica qps & latency - ( - qps_metrics_route, - qps_metrics_app_name, - ) = self._generate_metrics_summary( - get_metric_dictionaries(_metric_name) - ) - assert qps_metrics_app_name[deployment_name] == app_name - assert qps_metrics_route[deployment_name] == {route} - return True - - wait_for_condition(check, timeout=timeout) - - # Check replica qps & latency - wait_for_route_and_name( - "serve_deployment_request_counter", depl_name1, app_name1, app_name1 - ) - wait_for_route_and_name( - "serve_deployment_request_counter", depl_name2, app_name2, app_name2 - ) - wait_for_route_and_name( - "serve_deployment_error_counter", depl_name3, app_name3, app_name3 - ) - - # Check grpc proxy qps & latency - for metric_name in [ - "serve_num_grpc_requests", - "serve_grpc_request_latency_ms_sum", - ]: - metrics = get_metric_dictionaries(metric_name) - assert {metric["route"] for metric in metrics} == { - "app1", - "app2", - "app3", - } - - for metric_name in [ - "serve_handle_request_counter", - "serve_num_router_requests", - "serve_deployment_processing_latency_ms_sum", - ]: - metrics_route, metrics_app_name = self._generate_metrics_summary( - get_metric_dictionaries(metric_name) - ) - msg = f"Incorrect metrics for {metric_name}" - assert metrics_route[depl_name1] == {"app1"}, msg - assert metrics_route[depl_name2] == {"app2"}, msg - assert metrics_route[depl_name3] == {"app3"}, msg - assert metrics_app_name[depl_name1] == "app1", msg - assert metrics_app_name[depl_name2] == "app2", msg - assert metrics_app_name[depl_name3] == "app3", msg - - def test_request_context_pass_for_handle_passing(self, serve_start_shutdown): - """Test handle passing contexts between replicas""" - - @serve.deployment - def g1(): - return "ok1" - - @serve.deployment - def g2(): - return "ok2" - - app = FastAPI() - - @serve.deployment - @serve.ingress(app) - class G: - def __init__(self, handle1: DeploymentHandle, handle2: DeploymentHandle): - self.handle1 = handle1 - self.handle2 = handle2 - - @app.get("/api") - async def app1(self): - return await self.handle1.remote() - - @app.get("/api2") - async def app2(self): - return await self.handle2.remote() - - serve.run(G.bind(g1.bind(), g2.bind()), name="app") - app_url = get_application_url("HTTP", "app") - resp = httpx.get(f"{app_url}/api") - assert resp.text == '"ok1"' - resp = httpx.get(f"{app_url}/api2") - assert resp.text == '"ok2"' - - # G deployment metrics: - # {xxx, route:/api}, {xxx, route:/api2} - # g1 deployment metrics: - # {xxx, route:/api} - # g2 deployment metrics: - # {xxx, route:/api2} - wait_for_condition( - lambda: len(get_metric_dictionaries("serve_deployment_request_counter")) - == 4, - timeout=40, - ) - ( - requests_metrics_route, - requests_metrics_app_name, - ) = self._generate_metrics_summary( - get_metric_dictionaries("serve_deployment_request_counter") - ) - assert requests_metrics_route["G"] == {"/api", "/api2"} - assert requests_metrics_route["g1"] == {"/api"} - assert requests_metrics_route["g2"] == {"/api2"} - assert requests_metrics_app_name["G"] == "app" - assert requests_metrics_app_name["g1"] == "app" - assert requests_metrics_app_name["g2"] == "app" - - @pytest.mark.parametrize("route_prefix", ["", "/prefix"]) - def test_fastapi_route_metrics(self, serve_start_shutdown, route_prefix: str): - app = FastAPI() - - @serve.deployment - @serve.ingress(app) - class A: - @app.get("/api") - def route1(self): - return "ok1" - - @app.get("/api2/{user_id}") - def route2(self): - return "ok2" - - if route_prefix: - serve.run(A.bind(), route_prefix=route_prefix) - else: - serve.run(A.bind()) - - base_url = get_application_url("HTTP") - resp = httpx.get(f"{base_url}/api") - assert resp.text == '"ok1"' - resp = httpx.get(f"{base_url}/api2/abc123") - assert resp.text == '"ok2"' - - wait_for_condition( - lambda: len(get_metric_dictionaries("serve_deployment_request_counter")) - == 2, - timeout=40, - ) - ( - requests_metrics_route, - requests_metrics_app_name, - ) = self._generate_metrics_summary( - get_metric_dictionaries("serve_deployment_request_counter") - ) - assert requests_metrics_route["A"] == { - route_prefix + "/api", - route_prefix + "/api2/{user_id}", - } - - def test_customer_metrics_with_context(self, serve_start_shutdown): - @serve.deployment - class Model: - def __init__(self): - self.counter = Counter( - "my_counter", - description="my counter metrics", - tag_keys=( - "my_static_tag", - "my_runtime_tag", - "route", - ), - ) - self.counter.set_default_tags({"my_static_tag": "static_value"}) - self.histogram = Histogram( - "my_histogram", - description=("my histogram "), - boundaries=DEFAULT_LATENCY_BUCKET_MS, - tag_keys=( - "my_static_tag", - "my_runtime_tag", - "route", - ), - ) - self.histogram.set_default_tags({"my_static_tag": "static_value"}) - self.gauge = Gauge( - "my_gauge", - description=("my_gauge"), - tag_keys=( - "my_static_tag", - "my_runtime_tag", - "route", - ), - ) - self.gauge.set_default_tags({"my_static_tag": "static_value"}) - - def __call__(self): - self.counter.inc(tags={"my_runtime_tag": "100"}) - self.histogram.observe(200, tags={"my_runtime_tag": "200"}) - self.gauge.set(300, tags={"my_runtime_tag": "300"}) - return [ - # NOTE(zcin): this is to match the current implementation in - # Serve's _add_serve_metric_default_tags(). - ray.serve.context._INTERNAL_REPLICA_CONTEXT.deployment, - ray.serve.context._INTERNAL_REPLICA_CONTEXT.replica_id.unique_id, - ] - - serve.run(Model.bind(), name="app", route_prefix="/app") - http_url = get_application_url("HTTP", "app") - resp = httpx.get(http_url) - deployment_name, replica_id = resp.json() - wait_for_condition( - lambda: len(get_metric_dictionaries("my_gauge")) == 1, - timeout=40, - ) - - counter_metrics = get_metric_dictionaries("my_counter") - assert len(counter_metrics) == 1 - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "100", - "replica": replica_id, - "deployment": deployment_name, - "application": "app", - "route": "/app", - } - self.verify_metrics(counter_metrics[0], expected_metrics) - - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "300", - "replica": replica_id, - "deployment": deployment_name, - "application": "app", - "route": "/app", - } - gauge_metrics = get_metric_dictionaries("my_gauge") - assert len(counter_metrics) == 1 - self.verify_metrics(gauge_metrics[0], expected_metrics) - - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "200", - "replica": replica_id, - "deployment": deployment_name, - "application": "app", - "route": "/app", - } - histogram_metrics = get_metric_dictionaries("my_histogram_sum") - assert len(histogram_metrics) == 1 - self.verify_metrics(histogram_metrics[0], expected_metrics) - - @pytest.mark.parametrize("use_actor", [False, True]) - def test_serve_metrics_outside_serve(self, use_actor, serve_start_shutdown): - """Make sure ray.serve.metrics work in ray actor""" - if use_actor: - - @ray.remote - class MyActor: - def __init__(self): - self.counter = Counter( - "my_counter", - description="my counter metrics", - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - self.counter.set_default_tags({"my_static_tag": "static_value"}) - self.histogram = Histogram( - "my_histogram", - description=("my histogram "), - boundaries=DEFAULT_LATENCY_BUCKET_MS, - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - self.histogram.set_default_tags({"my_static_tag": "static_value"}) - self.gauge = Gauge( - "my_gauge", - description=("my_gauge"), - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - self.gauge.set_default_tags({"my_static_tag": "static_value"}) - - def test(self): - self.counter.inc(tags={"my_runtime_tag": "100"}) - self.histogram.observe(200, tags={"my_runtime_tag": "200"}) - self.gauge.set(300, tags={"my_runtime_tag": "300"}) - return "hello" - - else: - counter = Counter( - "my_counter", - description="my counter metrics", - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - histogram = Histogram( - "my_histogram", - description=("my histogram "), - boundaries=DEFAULT_LATENCY_BUCKET_MS, - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - gauge = Gauge( - "my_gauge", - description=("my_gauge"), - tag_keys=( - "my_static_tag", - "my_runtime_tag", - ), - ) - - @ray.remote - def fn(): - counter.set_default_tags({"my_static_tag": "static_value"}) - histogram.set_default_tags({"my_static_tag": "static_value"}) - gauge.set_default_tags({"my_static_tag": "static_value"}) - counter.inc(tags={"my_runtime_tag": "100"}) - histogram.observe(200, tags={"my_runtime_tag": "200"}) - gauge.set(300, tags={"my_runtime_tag": "300"}) - return "hello" - - @serve.deployment - class Model: - def __init__(self): - if use_actor: - self.my_actor = MyActor.remote() - - async def __call__(self): - if use_actor: - return await self.my_actor.test.remote() - else: - return await fn.remote() - - serve.run(Model.bind(), name="app", route_prefix="/app") - http_url = get_application_url("HTTP", "app") - resp = httpx.get(http_url) - assert resp.text == "hello" - wait_for_condition( - lambda: len(get_metric_dictionaries("my_gauge")) == 1, - timeout=40, - ) - - counter_metrics = get_metric_dictionaries("my_counter") - assert len(counter_metrics) == 1 - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "100", - } - self.verify_metrics(counter_metrics[0], expected_metrics) - - gauge_metrics = get_metric_dictionaries("my_gauge") - assert len(counter_metrics) == 1 - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "300", - } - self.verify_metrics(gauge_metrics[0], expected_metrics) - - histogram_metrics = get_metric_dictionaries("my_histogram_sum") - assert len(histogram_metrics) == 1 - expected_metrics = { - "my_static_tag": "static_value", - "my_runtime_tag": "200", - } - self.verify_metrics(histogram_metrics[0], expected_metrics) - - @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows") -def test_multiplexed_metrics(serve_start_shutdown): +def test_multiplexed_metrics(metrics_start_shutdown): """Tests multiplexed API corresponding metrics.""" @serve.deployment @@ -1574,308 +995,6 @@ def verify_metrics(): ) -@serve.deployment -class WaitForSignal: - async def __call__(self): - signal = ray.get_actor("signal123") - await signal.wait.remote() - - -@serve.deployment -class Router: - def __init__(self, handles): - self.handles = handles - - async def __call__(self, index: int): - return await self.handles[index - 1].remote() - - -@ray.remote -def call(deployment_name, app_name, *args): - handle = DeploymentHandle(deployment_name, app_name) - handle.remote(*args) - - -@ray.remote -class CallActor: - def __init__(self, deployment_name: str, app_name: str): - self.handle = DeploymentHandle(deployment_name, app_name) - - async def call(self, *args): - await self.handle.remote(*args) - - -class TestHandleMetrics: - def test_queued_queries_basic(self, serve_start_shutdown): - signal = SignalActor.options(name="signal123").remote() - serve.run(WaitForSignal.options(max_ongoing_requests=1).bind(), name="app1") - - # First call should get assigned to a replica - # call.remote("WaitForSignal", "app1") - caller = CallActor.remote("WaitForSignal", "app1") - caller.call.remote() - - for i in range(5): - # call.remote("WaitForSignal", "app1") - # c.call.remote() - caller.call.remote() - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1"}, - expected=i + 1, - ) - - # Release signal - ray.get(signal.send.remote()) - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1", "deployment": "WaitForSignal"}, - expected=0, - ) - - def test_queued_queries_multiple_handles(self, serve_start_shutdown): - signal = SignalActor.options(name="signal123").remote() - serve.run(WaitForSignal.options(max_ongoing_requests=1).bind(), name="app1") - - # Send first request - call.remote("WaitForSignal", "app1") - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1", "deployment": "WaitForSignal"}, - expected=0, - ) - - # Send second request (which should stay queued) - call.remote("WaitForSignal", "app1") - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1", "deployment": "WaitForSignal"}, - expected=1, - ) - - # Send third request (which should stay queued) - call.remote("WaitForSignal", "app1") - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1", "deployment": "WaitForSignal"}, - expected=2, - ) - - # Release signal - ray.get(signal.send.remote()) - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_deployment_queued_queries", - tags={"application": "app1", "deployment": "WaitForSignal"}, - expected=0, - ) - - def test_queued_queries_disconnected(self, serve_start_shutdown): - """Check that disconnected queued queries are tracked correctly.""" - - signal = SignalActor.remote() - - @serve.deployment( - max_ongoing_requests=1, - ) - async def hang_on_first_request(): - await signal.wait.remote() - - serve.run(hang_on_first_request.bind()) - - print("Deployed hang_on_first_request deployment.") - - wait_for_condition( - check_metric_float_eq, - timeout=15, - metric="ray_serve_num_scheduling_tasks", - # Router is eagerly created on HTTP proxy, so there are metrics emitted - # from proxy router - expected=0, - # TODO(zcin): this tag shouldn't be necessary, there shouldn't be a mix of - # metrics from new and old sessions. - expected_tags={ - "SessionName": ray._private.worker.global_worker.node.session_name - }, - ) - print("ray_serve_num_scheduling_tasks updated successfully.") - wait_for_condition( - check_metric_float_eq, - timeout=15, - metric="serve_num_scheduling_tasks_in_backoff", - # Router is eagerly created on HTTP proxy, so there are metrics emitted - # from proxy router - expected=0, - # TODO(zcin): this tag shouldn't be necessary, there shouldn't be a mix of - # metrics from new and old sessions. - expected_tags={ - "SessionName": ray._private.worker.global_worker.node.session_name - }, - ) - print("serve_num_scheduling_tasks_in_backoff updated successfully.") - - @ray.remote(num_cpus=0) - def do_request(): - r = httpx.get("http://localhost:8000/", timeout=10) - r.raise_for_status() - return r - - # Make a request to block the deployment from accepting other requests. - request_refs = [do_request.remote()] - wait_for_condition( - lambda: ray.get(signal.cur_num_waiters.remote()) == 1, timeout=10 - ) - - print("First request is executing.") - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_ongoing_http_requests", - expected=1, - ) - print("ray_serve_num_ongoing_http_requests updated successfully.") - - num_queued_requests = 3 - request_refs.extend([do_request.remote() for _ in range(num_queued_requests)]) - print(f"{num_queued_requests} more requests now queued.") - - # First request should be processing. All others should be queued. - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_deployment_queued_queries", - expected=num_queued_requests, - ) - print("ray_serve_deployment_queued_queries updated successfully.") - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_ongoing_http_requests", - expected=num_queued_requests + 1, - ) - print("ray_serve_num_ongoing_http_requests updated successfully.") - - # There should be 2 scheduling tasks (which is the max, since - # 2 = 2 * 1 replica) that are attempting to schedule the hanging requests. - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_scheduling_tasks", - expected=2, - ) - print("ray_serve_num_scheduling_tasks updated successfully.") - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_scheduling_tasks_in_backoff", - expected=2, - ) - print("serve_num_scheduling_tasks_in_backoff updated successfully.") - - # Disconnect all requests by cancelling the Ray tasks. - [ray.cancel(ref, force=True) for ref in request_refs] - print("Cancelled all HTTP requests.") - - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_deployment_queued_queries", - expected=0, - ) - print("ray_serve_deployment_queued_queries updated successfully.") - - # Task should get cancelled. - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_ongoing_http_requests", - expected=0, - ) - print("ray_serve_num_ongoing_http_requests updated successfully.") - - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_scheduling_tasks", - expected=0, - ) - print("ray_serve_num_scheduling_tasks updated successfully.") - wait_for_condition( - check_sum_metric_eq, - timeout=15, - metric_name="ray_serve_num_scheduling_tasks_in_backoff", - expected=0, - ) - print("serve_num_scheduling_tasks_in_backoff updated successfully.") - - # Unblock hanging request. - ray.get(signal.send.remote()) - - def test_running_requests_gauge(self, serve_start_shutdown): - signal = SignalActor.options(name="signal123").remote() - serve.run( - Router.options(num_replicas=2, ray_actor_options={"num_cpus": 0}).bind( - [ - WaitForSignal.options( - name="d1", - ray_actor_options={"num_cpus": 0}, - max_ongoing_requests=2, - num_replicas=3, - ).bind(), - WaitForSignal.options( - name="d2", - ray_actor_options={"num_cpus": 0}, - max_ongoing_requests=2, - num_replicas=3, - ).bind(), - ], - ), - name="app1", - ) - - requests_sent = {1: 0, 2: 0} - for i in range(5): - index = random.choice([1, 2]) - print(f"Sending request to d{index}") - call.remote("Router", "app1", index) - requests_sent[index] += 1 - - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_num_ongoing_requests_at_replicas", - tags={"application": "app1", "deployment": "d1"}, - expected=requests_sent[1], - ) - - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_num_ongoing_requests_at_replicas", - tags={"application": "app1", "deployment": "d2"}, - expected=requests_sent[2], - ) - - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_num_ongoing_requests_at_replicas", - tags={"application": "app1", "deployment": "Router"}, - expected=i + 1, - ) - - # Release signal, the number of running requests should drop to 0 - ray.get(signal.send.remote()) - wait_for_condition( - check_sum_metric_eq, - metric_name="ray_serve_num_ongoing_requests_at_replicas", - tags={"application": "app1"}, - expected=0, - ) - - def test_long_poll_host_sends_counted(serve_instance): """Check that the transmissions by the long_poll are counted.""" diff --git a/python/ray/serve/tests/test_metrics_2.py b/python/ray/serve/tests/test_metrics_2.py new file mode 100644 index 000000000000..9de6ea422bd0 --- /dev/null +++ b/python/ray/serve/tests/test_metrics_2.py @@ -0,0 +1,869 @@ +import random +import sys +from typing import DefaultDict, Dict, List + +import grpc +import httpx +import pytest +from fastapi import FastAPI + +import ray +from ray import serve +from ray._common.test_utils import SignalActor, wait_for_condition +from ray.serve._private.constants import DEFAULT_LATENCY_BUCKET_MS +from ray.serve._private.test_utils import ( + get_application_url, + ping_fruit_stand, + ping_grpc_call_method, +) +from ray.serve.handle import DeploymentHandle +from ray.serve.metrics import Counter, Gauge, Histogram +from ray.serve.tests.test_config_files.grpc_deployment import g, g2 +from ray.serve.tests.test_metrics import ( + check_metric_float_eq, + check_sum_metric_eq, + get_metric_dictionaries, +) + + +@serve.deployment +class WaitForSignal: + async def __call__(self): + signal = ray.get_actor("signal123") + await signal.wait.remote() + + +@serve.deployment +class Router: + def __init__(self, handles): + self.handles = handles + + async def __call__(self, index: int): + return await self.handles[index - 1].remote() + + +@ray.remote +def call(deployment_name, app_name, *args): + handle = DeploymentHandle(deployment_name, app_name) + handle.remote(*args) + + +@ray.remote +class CallActor: + def __init__(self, deployment_name: str, app_name: str): + self.handle = DeploymentHandle(deployment_name, app_name) + + async def call(self, *args): + await self.handle.remote(*args) + + +class TestRequestContextMetrics: + def _generate_metrics_summary(self, metrics: List[Dict]): + """Generate "route" and "application" information from metrics. + + Args: + metrics: List of metric dictionaries, each generated by the + get_metric_dictionaries function. + Returns: + Tuple[dict, dict]: + - The first dictionary maps deployment names to a set of routes. + - The second dictionary maps deployment names to application names. + """ + metrics_summary_route = DefaultDict(set) + metrics_summary_app = DefaultDict(str) + + for request_metrics in metrics: + metrics_summary_route[request_metrics["deployment"]].add( + request_metrics["route"] + ) + metrics_summary_app[request_metrics["deployment"]] = request_metrics[ + "application" + ] + return metrics_summary_route, metrics_summary_app + + def verify_metrics(self, metric, expected_output): + for key in expected_output: + assert metric[key] == expected_output[key] + + def test_request_context_pass_for_http_proxy(self, metrics_start_shutdown): + """Test HTTP proxy passing request context""" + + @serve.deployment(graceful_shutdown_timeout_s=0.001) + def f(): + return "hello" + + @serve.deployment(graceful_shutdown_timeout_s=0.001) + def g(): + return "world" + + @serve.deployment(graceful_shutdown_timeout_s=0.001) + def h(): + return 1 / 0 + + serve.run(f.bind(), name="app1", route_prefix="/app1") + serve.run(g.bind(), name="app2", route_prefix="/app2") + serve.run(h.bind(), name="app3", route_prefix="/app3") + + resp = httpx.get("http://127.0.0.1:8000/app1") + assert resp.status_code == 200 + assert resp.text == "hello" + resp = httpx.get("http://127.0.0.1:8000/app2") + assert resp.status_code == 200 + assert resp.text == "world" + resp = httpx.get("http://127.0.0.1:8000/app3") + assert resp.status_code == 500 + + wait_for_condition( + lambda: len( + get_metric_dictionaries("serve_deployment_processing_latency_ms_sum") + ) + == 3, + timeout=40, + ) + + def wait_for_route_and_name( + metric_name: str, + deployment_name: str, + app_name: str, + route: str, + timeout: float = 5, + ): + """Waits for app name and route to appear in deployment's metric.""" + + def check(): + # Check replica qps & latency + ( + qps_metrics_route, + qps_metrics_app_name, + ) = self._generate_metrics_summary(get_metric_dictionaries(metric_name)) + assert qps_metrics_app_name[deployment_name] == app_name + assert qps_metrics_route[deployment_name] == {route} + return True + + wait_for_condition(check, timeout=timeout) + + # Check replica qps & latency + wait_for_route_and_name( + "serve_deployment_request_counter", "f", "app1", "/app1" + ) + wait_for_route_and_name( + "serve_deployment_request_counter", "g", "app2", "/app2" + ) + wait_for_route_and_name("serve_deployment_error_counter", "h", "app3", "/app3") + + # Check http proxy qps & latency + for metric_name in [ + "serve_num_http_requests", + "serve_http_request_latency_ms_sum", + ]: + metrics = get_metric_dictionaries(metric_name) + assert {metric["route"] for metric in metrics} == { + "/app1", + "/app2", + "/app3", + } + + for metric_name in [ + "serve_handle_request_counter", + "serve_num_router_requests", + "serve_deployment_processing_latency_ms_sum", + ]: + metrics_route, metrics_app_name = self._generate_metrics_summary( + get_metric_dictionaries(metric_name) + ) + msg = f"Incorrect metrics for {metric_name}" + assert metrics_route["f"] == {"/app1"}, msg + assert metrics_route["g"] == {"/app2"}, msg + assert metrics_route["h"] == {"/app3"}, msg + assert metrics_app_name["f"] == "app1", msg + assert metrics_app_name["g"] == "app2", msg + assert metrics_app_name["h"] == "app3", msg + + def test_request_context_pass_for_grpc_proxy(self, metrics_start_shutdown): + """Test gRPC proxy passing request context""" + + @serve.deployment(graceful_shutdown_timeout_s=0.001) + class H: + def __call__(self, *args, **kwargs): + return 1 / 0 + + h = H.bind() + app_name1 = "app1" + depl_name1 = "grpc-deployment" + app_name2 = "app2" + depl_name2 = "grpc-deployment-model-composition" + app_name3 = "app3" + depl_name3 = "H" + serve.run(g, name=app_name1, route_prefix="/app1") + serve.run(g2, name=app_name2, route_prefix="/app2") + serve.run(h, name=app_name3, route_prefix="/app3") + + channel = grpc.insecure_channel("localhost:9000") + ping_grpc_call_method(channel, app_name1) + ping_fruit_stand(channel, app_name2) + with pytest.raises(grpc.RpcError): + ping_grpc_call_method(channel, app_name3) + + # app1 has 1 deployment, app2 has 3 deployments, and app3 has 1 deployment. + wait_for_condition( + lambda: len( + get_metric_dictionaries("serve_deployment_processing_latency_ms_sum") + ) + == 5, + timeout=40, + ) + + def wait_for_route_and_name( + _metric_name: str, + deployment_name: str, + app_name: str, + route: str, + timeout: float = 5, + ): + """Waits for app name and route to appear in deployment's metric.""" + + def check(): + # Check replica qps & latency + ( + qps_metrics_route, + qps_metrics_app_name, + ) = self._generate_metrics_summary( + get_metric_dictionaries(_metric_name) + ) + assert qps_metrics_app_name[deployment_name] == app_name + assert qps_metrics_route[deployment_name] == {route} + return True + + wait_for_condition(check, timeout=timeout) + + # Check replica qps & latency + wait_for_route_and_name( + "serve_deployment_request_counter", depl_name1, app_name1, app_name1 + ) + wait_for_route_and_name( + "serve_deployment_request_counter", depl_name2, app_name2, app_name2 + ) + wait_for_route_and_name( + "serve_deployment_error_counter", depl_name3, app_name3, app_name3 + ) + + # Check grpc proxy qps & latency + for metric_name in [ + "serve_num_grpc_requests", + "serve_grpc_request_latency_ms_sum", + ]: + metrics = get_metric_dictionaries(metric_name) + assert {metric["route"] for metric in metrics} == { + "app1", + "app2", + "app3", + } + + for metric_name in [ + "serve_handle_request_counter", + "serve_num_router_requests", + "serve_deployment_processing_latency_ms_sum", + ]: + metrics_route, metrics_app_name = self._generate_metrics_summary( + get_metric_dictionaries(metric_name) + ) + msg = f"Incorrect metrics for {metric_name}" + assert metrics_route[depl_name1] == {"app1"}, msg + assert metrics_route[depl_name2] == {"app2"}, msg + assert metrics_route[depl_name3] == {"app3"}, msg + assert metrics_app_name[depl_name1] == "app1", msg + assert metrics_app_name[depl_name2] == "app2", msg + assert metrics_app_name[depl_name3] == "app3", msg + + def test_request_context_pass_for_handle_passing(self, metrics_start_shutdown): + """Test handle passing contexts between replicas""" + + @serve.deployment + def g1(): + return "ok1" + + @serve.deployment + def g2(): + return "ok2" + + app = FastAPI() + + @serve.deployment + @serve.ingress(app) + class G: + def __init__(self, handle1: DeploymentHandle, handle2: DeploymentHandle): + self.handle1 = handle1 + self.handle2 = handle2 + + @app.get("/api") + async def app1(self): + return await self.handle1.remote() + + @app.get("/api2") + async def app2(self): + return await self.handle2.remote() + + serve.run(G.bind(g1.bind(), g2.bind()), name="app") + app_url = get_application_url("HTTP", "app") + resp = httpx.get(f"{app_url}/api") + assert resp.text == '"ok1"' + resp = httpx.get(f"{app_url}/api2") + assert resp.text == '"ok2"' + + # G deployment metrics: + # {xxx, route:/api}, {xxx, route:/api2} + # g1 deployment metrics: + # {xxx, route:/api} + # g2 deployment metrics: + # {xxx, route:/api2} + wait_for_condition( + lambda: len(get_metric_dictionaries("serve_deployment_request_counter")) + == 4, + timeout=40, + ) + ( + requests_metrics_route, + requests_metrics_app_name, + ) = self._generate_metrics_summary( + get_metric_dictionaries("serve_deployment_request_counter") + ) + assert requests_metrics_route["G"] == {"/api", "/api2"} + assert requests_metrics_route["g1"] == {"/api"} + assert requests_metrics_route["g2"] == {"/api2"} + assert requests_metrics_app_name["G"] == "app" + assert requests_metrics_app_name["g1"] == "app" + assert requests_metrics_app_name["g2"] == "app" + + @pytest.mark.parametrize("route_prefix", ["", "/prefix"]) + def test_fastapi_route_metrics(self, metrics_start_shutdown, route_prefix: str): + app = FastAPI() + + @serve.deployment + @serve.ingress(app) + class A: + @app.get("/api") + def route1(self): + return "ok1" + + @app.get("/api2/{user_id}") + def route2(self): + return "ok2" + + if route_prefix: + serve.run(A.bind(), route_prefix=route_prefix) + else: + serve.run(A.bind()) + + base_url = get_application_url("HTTP") + resp = httpx.get(f"{base_url}/api") + assert resp.text == '"ok1"' + resp = httpx.get(f"{base_url}/api2/abc123") + assert resp.text == '"ok2"' + + wait_for_condition( + lambda: len(get_metric_dictionaries("serve_deployment_request_counter")) + == 2, + timeout=40, + ) + ( + requests_metrics_route, + requests_metrics_app_name, + ) = self._generate_metrics_summary( + get_metric_dictionaries("serve_deployment_request_counter") + ) + assert requests_metrics_route["A"] == { + route_prefix + "/api", + route_prefix + "/api2/{user_id}", + } + + def test_customer_metrics_with_context(self, metrics_start_shutdown): + @serve.deployment + class Model: + def __init__(self): + self.counter = Counter( + "my_counter", + description="my counter metrics", + tag_keys=( + "my_static_tag", + "my_runtime_tag", + "route", + ), + ) + self.counter.set_default_tags({"my_static_tag": "static_value"}) + self.histogram = Histogram( + "my_histogram", + description=("my histogram "), + boundaries=DEFAULT_LATENCY_BUCKET_MS, + tag_keys=( + "my_static_tag", + "my_runtime_tag", + "route", + ), + ) + self.histogram.set_default_tags({"my_static_tag": "static_value"}) + self.gauge = Gauge( + "my_gauge", + description=("my_gauge"), + tag_keys=( + "my_static_tag", + "my_runtime_tag", + "route", + ), + ) + self.gauge.set_default_tags({"my_static_tag": "static_value"}) + + def __call__(self): + self.counter.inc(tags={"my_runtime_tag": "100"}) + self.histogram.observe(200, tags={"my_runtime_tag": "200"}) + self.gauge.set(300, tags={"my_runtime_tag": "300"}) + return [ + # NOTE(zcin): this is to match the current implementation in + # Serve's _add_serve_metric_default_tags(). + ray.serve.context._INTERNAL_REPLICA_CONTEXT.deployment, + ray.serve.context._INTERNAL_REPLICA_CONTEXT.replica_id.unique_id, + ] + + serve.run(Model.bind(), name="app", route_prefix="/app") + http_url = get_application_url("HTTP", "app") + resp = httpx.get(http_url) + deployment_name, replica_id = resp.json() + wait_for_condition( + lambda: len(get_metric_dictionaries("my_gauge")) == 1, + timeout=40, + ) + + counter_metrics = get_metric_dictionaries("my_counter") + assert len(counter_metrics) == 1 + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "100", + "replica": replica_id, + "deployment": deployment_name, + "application": "app", + "route": "/app", + } + self.verify_metrics(counter_metrics[0], expected_metrics) + + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "300", + "replica": replica_id, + "deployment": deployment_name, + "application": "app", + "route": "/app", + } + gauge_metrics = get_metric_dictionaries("my_gauge") + assert len(counter_metrics) == 1 + self.verify_metrics(gauge_metrics[0], expected_metrics) + + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "200", + "replica": replica_id, + "deployment": deployment_name, + "application": "app", + "route": "/app", + } + histogram_metrics = get_metric_dictionaries("my_histogram_sum") + assert len(histogram_metrics) == 1 + self.verify_metrics(histogram_metrics[0], expected_metrics) + + @pytest.mark.parametrize("use_actor", [False, True]) + def test_serve_metrics_outside_serve(self, use_actor, metrics_start_shutdown): + """Make sure ray.serve.metrics work in ray actor""" + if use_actor: + + @ray.remote + class MyActor: + def __init__(self): + self.counter = Counter( + "my_counter", + description="my counter metrics", + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + self.counter.set_default_tags({"my_static_tag": "static_value"}) + self.histogram = Histogram( + "my_histogram", + description=("my histogram "), + boundaries=DEFAULT_LATENCY_BUCKET_MS, + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + self.histogram.set_default_tags({"my_static_tag": "static_value"}) + self.gauge = Gauge( + "my_gauge", + description=("my_gauge"), + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + self.gauge.set_default_tags({"my_static_tag": "static_value"}) + + def test(self): + self.counter.inc(tags={"my_runtime_tag": "100"}) + self.histogram.observe(200, tags={"my_runtime_tag": "200"}) + self.gauge.set(300, tags={"my_runtime_tag": "300"}) + return "hello" + + else: + counter = Counter( + "my_counter", + description="my counter metrics", + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + histogram = Histogram( + "my_histogram", + description=("my histogram "), + boundaries=DEFAULT_LATENCY_BUCKET_MS, + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + gauge = Gauge( + "my_gauge", + description=("my_gauge"), + tag_keys=( + "my_static_tag", + "my_runtime_tag", + ), + ) + + @ray.remote + def fn(): + counter.set_default_tags({"my_static_tag": "static_value"}) + histogram.set_default_tags({"my_static_tag": "static_value"}) + gauge.set_default_tags({"my_static_tag": "static_value"}) + counter.inc(tags={"my_runtime_tag": "100"}) + histogram.observe(200, tags={"my_runtime_tag": "200"}) + gauge.set(300, tags={"my_runtime_tag": "300"}) + return "hello" + + @serve.deployment + class Model: + def __init__(self): + if use_actor: + self.my_actor = MyActor.remote() + + async def __call__(self): + if use_actor: + return await self.my_actor.test.remote() + else: + return await fn.remote() + + serve.run(Model.bind(), name="app", route_prefix="/app") + http_url = get_application_url("HTTP", "app") + resp = httpx.get(http_url) + assert resp.text == "hello" + wait_for_condition( + lambda: len(get_metric_dictionaries("my_gauge")) == 1, + timeout=40, + ) + + counter_metrics = get_metric_dictionaries("my_counter") + assert len(counter_metrics) == 1 + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "100", + } + self.verify_metrics(counter_metrics[0], expected_metrics) + + gauge_metrics = get_metric_dictionaries("my_gauge") + assert len(counter_metrics) == 1 + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "300", + } + self.verify_metrics(gauge_metrics[0], expected_metrics) + + histogram_metrics = get_metric_dictionaries("my_histogram_sum") + assert len(histogram_metrics) == 1 + expected_metrics = { + "my_static_tag": "static_value", + "my_runtime_tag": "200", + } + self.verify_metrics(histogram_metrics[0], expected_metrics) + + +class TestHandleMetrics: + def test_queued_queries_basic(self, metrics_start_shutdown): + signal = SignalActor.options(name="signal123").remote() + serve.run(WaitForSignal.options(max_ongoing_requests=1).bind(), name="app1") + + # First call should get assigned to a replica + # call.remote("WaitForSignal", "app1") + caller = CallActor.remote("WaitForSignal", "app1") + caller.call.remote() + + for i in range(5): + # call.remote("WaitForSignal", "app1") + # c.call.remote() + caller.call.remote() + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1"}, + expected=i + 1, + ) + + # Release signal + ray.get(signal.send.remote()) + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1", "deployment": "WaitForSignal"}, + expected=0, + ) + + def test_queued_queries_multiple_handles(self, metrics_start_shutdown): + signal = SignalActor.options(name="signal123").remote() + serve.run(WaitForSignal.options(max_ongoing_requests=1).bind(), name="app1") + + # Send first request + call.remote("WaitForSignal", "app1") + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1", "deployment": "WaitForSignal"}, + expected=0, + ) + + # Send second request (which should stay queued) + call.remote("WaitForSignal", "app1") + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1", "deployment": "WaitForSignal"}, + expected=1, + ) + + # Send third request (which should stay queued) + call.remote("WaitForSignal", "app1") + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1", "deployment": "WaitForSignal"}, + expected=2, + ) + + # Release signal + ray.get(signal.send.remote()) + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_deployment_queued_queries", + tags={"application": "app1", "deployment": "WaitForSignal"}, + expected=0, + ) + + def test_queued_queries_disconnected(self, metrics_start_shutdown): + """Check that disconnected queued queries are tracked correctly.""" + + signal = SignalActor.remote() + + @serve.deployment( + max_ongoing_requests=1, + ) + async def hang_on_first_request(): + await signal.wait.remote() + + serve.run(hang_on_first_request.bind()) + + print("Deployed hang_on_first_request deployment.") + + wait_for_condition( + check_metric_float_eq, + timeout=15, + metric="ray_serve_num_scheduling_tasks", + # Router is eagerly created on HTTP proxy, so there are metrics emitted + # from proxy router + expected=0, + # TODO(zcin): this tag shouldn't be necessary, there shouldn't be a mix of + # metrics from new and old sessions. + expected_tags={ + "SessionName": ray._private.worker.global_worker.node.session_name + }, + ) + print("ray_serve_num_scheduling_tasks updated successfully.") + wait_for_condition( + check_metric_float_eq, + timeout=15, + metric="serve_num_scheduling_tasks_in_backoff", + # Router is eagerly created on HTTP proxy, so there are metrics emitted + # from proxy router + expected=0, + # TODO(zcin): this tag shouldn't be necessary, there shouldn't be a mix of + # metrics from new and old sessions. + expected_tags={ + "SessionName": ray._private.worker.global_worker.node.session_name + }, + ) + print("serve_num_scheduling_tasks_in_backoff updated successfully.") + + @ray.remote(num_cpus=0) + def do_request(): + r = httpx.get("http://localhost:8000/", timeout=10) + r.raise_for_status() + return r + + # Make a request to block the deployment from accepting other requests. + request_refs = [do_request.remote()] + wait_for_condition( + lambda: ray.get(signal.cur_num_waiters.remote()) == 1, timeout=10 + ) + + print("First request is executing.") + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_ongoing_http_requests", + expected=1, + ) + print("ray_serve_num_ongoing_http_requests updated successfully.") + + num_queued_requests = 3 + request_refs.extend([do_request.remote() for _ in range(num_queued_requests)]) + print(f"{num_queued_requests} more requests now queued.") + + # First request should be processing. All others should be queued. + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_deployment_queued_queries", + expected=num_queued_requests, + ) + print("ray_serve_deployment_queued_queries updated successfully.") + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_ongoing_http_requests", + expected=num_queued_requests + 1, + ) + print("ray_serve_num_ongoing_http_requests updated successfully.") + + # There should be 2 scheduling tasks (which is the max, since + # 2 = 2 * 1 replica) that are attempting to schedule the hanging requests. + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_scheduling_tasks", + expected=2, + ) + print("ray_serve_num_scheduling_tasks updated successfully.") + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_scheduling_tasks_in_backoff", + expected=2, + ) + print("serve_num_scheduling_tasks_in_backoff updated successfully.") + + # Disconnect all requests by cancelling the Ray tasks. + [ray.cancel(ref, force=True) for ref in request_refs] + print("Cancelled all HTTP requests.") + + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_deployment_queued_queries", + expected=0, + ) + print("ray_serve_deployment_queued_queries updated successfully.") + + # Task should get cancelled. + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_ongoing_http_requests", + expected=0, + ) + print("ray_serve_num_ongoing_http_requests updated successfully.") + + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_scheduling_tasks", + expected=0, + ) + print("ray_serve_num_scheduling_tasks updated successfully.") + wait_for_condition( + check_sum_metric_eq, + timeout=15, + metric_name="ray_serve_num_scheduling_tasks_in_backoff", + expected=0, + ) + print("serve_num_scheduling_tasks_in_backoff updated successfully.") + + # Unblock hanging request. + ray.get(signal.send.remote()) + + def test_running_requests_gauge(self, metrics_start_shutdown): + signal = SignalActor.options(name="signal123").remote() + serve.run( + Router.options(num_replicas=2, ray_actor_options={"num_cpus": 0}).bind( + [ + WaitForSignal.options( + name="d1", + ray_actor_options={"num_cpus": 0}, + max_ongoing_requests=2, + num_replicas=3, + ).bind(), + WaitForSignal.options( + name="d2", + ray_actor_options={"num_cpus": 0}, + max_ongoing_requests=2, + num_replicas=3, + ).bind(), + ], + ), + name="app1", + ) + + requests_sent = {1: 0, 2: 0} + for i in range(5): + index = random.choice([1, 2]) + print(f"Sending request to d{index}") + call.remote("Router", "app1", index) + requests_sent[index] += 1 + + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_num_ongoing_requests_at_replicas", + tags={"application": "app1", "deployment": "d1"}, + expected=requests_sent[1], + ) + + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_num_ongoing_requests_at_replicas", + tags={"application": "app1", "deployment": "d2"}, + expected=requests_sent[2], + ) + + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_num_ongoing_requests_at_replicas", + tags={"application": "app1", "deployment": "Router"}, + expected=i + 1, + ) + + # Release signal, the number of running requests should drop to 0 + ray.get(signal.send.remote()) + wait_for_condition( + check_sum_metric_eq, + metric_name="ray_serve_num_ongoing_requests_at_replicas", + tags={"application": "app1"}, + expected=0, + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) From 1ce549139fe55d8bb55d03ad9ae77802d48da7f0 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 3 Jul 2025 00:27:56 -0700 Subject: [PATCH 0031/1566] [setup] remove invoker in `bazel_invoke` (#54302) and also drop the `result`, as `check_call`, if returns anything, always returns `None` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/setup.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/python/setup.py b/python/setup.py index a001e131adac..94985e085d41 100644 --- a/python/setup.py +++ b/python/setup.py @@ -407,7 +407,7 @@ def is_invalid_windows_platform(): # Calls Bazel in PATH, falling back to the standard user installation path # (~/bin/bazel) if it isn't found. -def bazel_invoke(invoker, cmdline, *args, **kwargs): +def _bazel_invoke(cmdline, *args, **kwargs): home = os.path.expanduser("~") first_candidate = os.getenv("BAZEL_PATH", "bazel") candidates = [first_candidate] @@ -417,15 +417,13 @@ def bazel_invoke(invoker, cmdline, *args, **kwargs): candidates.append(mingw_dir + "/bin/bazel.exe") else: candidates.append(os.path.join(home, "bin", "bazel")) - result = None for i, cmd in enumerate(candidates): try: - result = invoker([cmd] + cmdline, *args, **kwargs) + subprocess.check_call([cmd] + cmdline, *args, **kwargs) break except IOError: if i >= len(candidates) - 1: raise - return result def patch_isdir(): @@ -641,8 +639,7 @@ def build(build_python, build_java, build_cpp): if setup_spec.build_type == BuildType.TSAN: bazel_flags.append("--config=tsan") - return bazel_invoke( - subprocess.check_call, + _bazel_invoke( bazel_precmd_flags + ["build"] + bazel_flags + ["--"] + bazel_targets, env=bazel_env, ) From a1366971372de6d24bf36e79c1c1e065d71cf3b5 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 3 Jul 2025 08:19:58 -0700 Subject: [PATCH 0032/1566] [ci] remove min install on aarch64 mac (#54231) be consistent with `x86_64` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/macos/macos.rayci.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/.buildkite/macos/macos.rayci.yml b/.buildkite/macos/macos.rayci.yml index d005e8d0dce7..fdeccf418aaa 100644 --- a/.buildkite/macos/macos.rayci.yml +++ b/.buildkite/macos/macos.rayci.yml @@ -28,9 +28,7 @@ steps: job_env: MACOS instance_type: macos-arm64 commands: - # TODO(aslonnie): arm64 historically only uses minimal install - # this should be removed. - - MINIMAL_INSTALL=1 bash ci/ray_ci/macos/macos_ci_build.sh + - bash ci/ray_ci/macos/macos_ci_build.sh # test - label: ":ray: core: :mac: small & client tests" From a3bc789343246d1aad05fe202d86d8d0f6de7b43 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 3 Jul 2025 08:43:27 -0700 Subject: [PATCH 0033/1566] [serve] speed up `test_deploy_app` (#54304) Speed up `test_deploy_app` and `test_deploy_app_2` by using `serve_instance` test fixture. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/conftest.py | 13 --- .../serve/tests/test_controller_recovery.py | 31 ++++- python/ray/serve/tests/test_deploy_app.py | 63 +++++++---- python/ray/serve/tests/test_deploy_app_2.py | 107 ++++++------------ 4 files changed, 106 insertions(+), 108 deletions(-) diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index e1d82271b6cc..4b9cde95632e 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -14,7 +14,6 @@ from ray._common.utils import reset_ray_address from ray._private.usage import usage_lib from ray.cluster_utils import AutoscalingCluster, Cluster -from ray.serve._private.constants import SERVE_NAMESPACE from ray.serve._private.test_utils import ( TELEMETRY_ROUTE_PREFIX, check_ray_started, @@ -118,18 +117,6 @@ def start_and_shutdown_ray_cli_module(): yield -# Used for `test_deploy_app` tests. -@pytest.fixture(scope="function") -def client(start_and_shutdown_ray_cli_module, ray_shutdown): - wait_for_condition( - lambda: httpx.get("http://localhost:8265/api/ray/version").status_code == 200, - timeout=15, - ) - ray.init(address="auto", namespace=SERVE_NAMESPACE) - serve.start() - yield _get_global_client() - - @pytest.fixture def tmp_dir(): with tempfile.TemporaryDirectory() as tmp_dir: diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index da5f2318e962..365c49d3f8bd 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -20,7 +20,7 @@ SERVE_PROXY_NAME, ) from ray.serve._private.test_utils import check_replica_counts -from ray.serve.schema import LoggingConfig +from ray.serve.schema import LoggingConfig, ServeDeploySchema from ray.serve.tests.test_failure import request_with_retries from ray.util.state import list_actors @@ -478,5 +478,34 @@ def check_proxy_handle_in_controller(): ) +def test_controller_recover_and_deploy(serve_instance): + """Ensure that in-progress deploy can finish even after controller dies.""" + client = serve_instance + signal = SignalActor.options(name="signal123").remote() + + config_json = { + "applications": [ + { + "name": SERVE_DEFAULT_APP_NAME, + "import_path": "ray.serve.tests.test_config_files.hangs.app", + } + ] + } + config = ServeDeploySchema.parse_obj(config_json) + client.deploy_apps(config) + + wait_for_condition( + lambda: serve.status().applications["default"].status == "DEPLOYING" + ) + ray.kill(client._controller, no_restart=False) + + signal.send.remote() + + # When controller restarts, it should redeploy config automatically + wait_for_condition( + lambda: httpx.get("http://localhost:8000/").text == "hello world" + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 54db58f7843d..fc04a3aa0a2d 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -11,7 +11,6 @@ import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition -from ray.serve._private.client import ServeControllerClient from ray.serve._private.common import DeploymentID, DeploymentStatus from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( @@ -121,13 +120,17 @@ def check_multi_app(): ) -def test_deploy_multi_app_basic(client: ServeControllerClient): +def test_deploy_multi_app_basic(serve_instance): + client = serve_instance + config = ServeDeploySchema.parse_obj(get_test_deploy_config()) client.deploy_apps(config) check_multi_app() -def test_deploy_multi_app_update_config(client: ServeControllerClient): +def test_deploy_multi_app_update_config(serve_instance): + client = serve_instance + config = get_test_deploy_config() client.deploy_apps(ServeDeploySchema.parse_obj(config)) check_multi_app() @@ -161,7 +164,9 @@ def test_deploy_multi_app_update_config(client: ServeControllerClient): ) -def test_deploy_multi_app_update_num_replicas(client: ServeControllerClient): +def test_deploy_multi_app_update_num_replicas(serve_instance): + client = serve_instance + config = get_test_deploy_config() client.deploy_apps(ServeDeploySchema.parse_obj(config)) check_multi_app() @@ -231,7 +236,9 @@ def test_deploy_multi_app_update_num_replicas(client: ServeControllerClient): assert len(updated_actors) == len(actors) + 8 -def test_deploy_multi_app_update_timestamp(client: ServeControllerClient): +def test_deploy_multi_app_update_timestamp(serve_instance): + client = serve_instance + assert "app1" not in serve.status().applications assert "app2" not in serve.status().applications @@ -279,7 +286,9 @@ def test_deploy_multi_app_update_timestamp(client: ServeControllerClient): ) -def test_deploy_multi_app_overwrite_apps(client: ServeControllerClient): +def test_deploy_multi_app_overwrite_apps(serve_instance): + client = serve_instance + """Check that redeploying different apps with same names works as expected.""" world_import_path = "ray.serve.tests.test_config_files.world.DagNode" @@ -324,8 +333,9 @@ def test_deploy_multi_app_overwrite_apps(client: ServeControllerClient): ) -def test_deploy_multi_app_overwrite_apps2(client: ServeControllerClient): +def test_deploy_multi_app_overwrite_apps2(serve_instance): """Check that deploying a new set of applications removes old ones.""" + client = serve_instance world_import_path = "ray.serve.tests.test_config_files.world.DagNode" pizza_import_path = "ray.serve.tests.test_config_files.pizza.serve_dag" @@ -403,8 +413,9 @@ def check_dead(): ) -def test_deploy_multi_app_deployments_removed(client: ServeControllerClient): +def test_deploy_multi_app_deployments_removed(serve_instance): """Test redeploying applications will remove old deployments.""" + client = serve_instance world_import_path = "ray.serve.tests.test_config_files.world.DagNode" world_deployments = ["f", "BasicDriver"] @@ -466,10 +477,9 @@ def check_app(deployments): "field_to_update", ["import_path", "runtime_env", "ray_actor_options"], ) -def test_deploy_config_update_heavyweight( - client: ServeControllerClient, field_to_update: str -): +def test_deploy_config_update_heavyweight(serve_instance, field_to_update: str): """Check that replicas are torn down when code updates are made.""" + client = serve_instance config_template = { "applications": [ { @@ -513,8 +523,9 @@ def test_deploy_config_update_heavyweight( assert pid1 not in pids -def test_update_config_user_config(client: ServeControllerClient): +def test_update_config_user_config(serve_instance): """Check that replicas stay alive when user config is updated.""" + client = serve_instance config_template = { "import_path": "ray.serve.tests.test_config_files.pid.node", @@ -546,8 +557,10 @@ def check(): wait_for_condition(check) -def test_update_config_graceful_shutdown_timeout(client: ServeControllerClient): +def test_update_config_graceful_shutdown_timeout(serve_instance): """Check that replicas stay alive when graceful_shutdown_timeout_s is updated""" + client = serve_instance + config_template = { "import_path": "ray.serve.tests.test_config_files.pid.node", "deployments": [{"name": "f", "graceful_shutdown_timeout_s": 1000}], @@ -582,8 +595,9 @@ def test_update_config_graceful_shutdown_timeout(client: ServeControllerClient): wait_for_condition(partial(check_deployments_dead, [DeploymentID(name="f")])) -def test_update_config_max_ongoing_requests(client: ServeControllerClient): +def test_update_config_max_ongoing_requests(serve_instance): """Check that replicas stay alive when max_ongoing_requests is updated.""" + client = serve_instance signal = SignalActor.options(name="signal123").remote() @@ -630,8 +644,9 @@ def test_update_config_max_ongoing_requests(client: ServeControllerClient): assert pids == {pid1} -def test_update_config_health_check_period(client: ServeControllerClient): +def test_update_config_health_check_period(serve_instance): """Check that replicas stay alive when max_ongoing_requests is updated.""" + client = serve_instance config_template = { "import_path": "ray.serve.tests.test_config_files.pid.async_node", @@ -668,8 +683,9 @@ def test_update_config_health_check_period(client: ServeControllerClient): assert pid1 == pid2 -def test_update_config_health_check_timeout(client: ServeControllerClient): +def test_update_config_health_check_timeout(serve_instance): """Check that replicas stay alive when max_ongoing_requests is updated.""" + client = serve_instance # Deploy with a very long initial health_check_timeout_s # Also set small health_check_period_s to make test run faster @@ -713,7 +729,8 @@ def test_update_config_health_check_timeout(client: ServeControllerClient): ) -def test_update_autoscaling_config(client: ServeControllerClient): +def test_update_autoscaling_config(serve_instance): + client = serve_instance signal = SignalActor.options(name="signal123").remote() config_template = { @@ -763,8 +780,9 @@ def test_update_autoscaling_config(client: ServeControllerClient): print(time.ctime(), "Number of replicas dropped back down to 1.") -def test_deploy_separate_runtime_envs(client: ServeControllerClient): +def test_deploy_separate_runtime_envs(serve_instance): """Deploy two applications with separate runtime envs.""" + client = serve_instance config_template = { "applications": [ @@ -802,8 +820,9 @@ def test_deploy_separate_runtime_envs(client: ServeControllerClient): ) -def test_deploy_multi_app_deleting(client: ServeControllerClient): +def test_deploy_multi_app_deleting(serve_instance): """Test deleting an application by removing from config.""" + client = serve_instance config = ServeDeploySchema.parse_obj(get_test_deploy_config()) client.deploy_apps(config) @@ -843,10 +862,11 @@ def check_app_status(): assert info_valid -def test_deploy_nonexistent_deployment(client: ServeControllerClient): +def test_deploy_nonexistent_deployment(serve_instance): """Apply a config that lists a deployment that doesn't exist in the application. The error message should be descriptive. """ + client = serve_instance config = ServeDeploySchema.parse_obj(get_test_deploy_config()) # Change names to invalid names that don't contain "deployment" or "application" @@ -868,7 +888,8 @@ def check_app_message(): wait_for_condition(check_app_message) -def test_get_app_handle(client: ServeControllerClient): +def test_get_app_handle(serve_instance): + client = serve_instance config = ServeDeploySchema.parse_obj(get_test_deploy_config()) client.deploy_apps(config) check_multi_app() diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index bc2cc93b75c4..5fd7d5271652 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -12,13 +12,11 @@ import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition -from ray.serve._private.client import ServeControllerClient from ray.serve._private.common import ReplicaID from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( check_num_replicas_eq, ) -from ray.serve.context import _get_global_client from ray.serve.schema import ( ApplicationStatus, ServeApplicationSchema, @@ -57,9 +55,10 @@ def get_deploy_config(self, model_within_logging_config: bool = False): @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) def test_deploy_app_with_application_logging_config( - self, client: ServeControllerClient, encoding_type: str + self, serve_instance, encoding_type: str ): """Deploy application with application logging config""" + client = serve_instance config_dict = self.get_deploy_config() config_dict["applications"][0]["logging_config"] = { @@ -82,8 +81,9 @@ def test_deploy_app_with_application_logging_config( @pytest.mark.parametrize("encoding_type", ["TEXT", "JSON"]) def test_deploy_app_with_deployment_logging_config( - self, client: ServeControllerClient, encoding_type: str + self, serve_instance, encoding_type: str ): + client = serve_instance """Deploy application with deployment logging config inside the yaml""" config_dict = self.get_deploy_config() @@ -110,11 +110,9 @@ def test_deploy_app_with_deployment_logging_config( expected_log_regex = [f".*{replica_id}.*"] check_log_file(resp["log_file"], expected_log_regex) - def test_deploy_app_with_deployment_logging_config_in_code( - self, - client: ServeControllerClient, - ): + def test_deployment_logging_config_in_code(self, serve_instance): """Deploy application with deployment logging config inside the code""" + client = serve_instance config_dict = self.get_deploy_config(model_within_logging_config=True) config = ServeDeploySchema.parse_obj(config_dict) client.deploy_apps(config) @@ -124,8 +122,9 @@ def test_deploy_app_with_deployment_logging_config_in_code( resp = httpx.post("http://localhost:8000/app1").json() check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - def test_overwritting_logging_config(self, client: ServeControllerClient): + def test_overwritting_logging_config(self, serve_instance): """Overwrite the default logging config with application logging config""" + client = serve_instance config_dict = self.get_deploy_config() config = ServeDeploySchema.parse_obj(config_dict) client.deploy_apps(config) @@ -181,12 +180,11 @@ def get_replica_info_format(replica_id: ReplicaID) -> str: ], ) - def test_not_overwritting_logging_config_in_yaml( - self, client: ServeControllerClient - ): + def test_not_overwritting_logging_config_in_yaml(self, serve_instance): """Deployment logging config in yaml should not be overwritten by application logging config. """ + client = serve_instance config_dict = self.get_deploy_config() config_dict["applications"][0]["deployments"] = [ { @@ -208,12 +206,11 @@ def test_not_overwritting_logging_config_in_yaml( resp = httpx.post("http://localhost:8000/app1").json() check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - def test_not_overwritting_logging_config_in_code( - self, client: ServeControllerClient - ): + def test_not_overwritting_logging_config_in_code(self, serve_instance): """Deployment logging config in code should not be overwritten by application logging config. """ + client = serve_instance config_dict = self.get_deploy_config(model_within_logging_config=True) config_dict["applications"][0]["logging_config"] = { "log_level": "INFO", @@ -227,8 +224,8 @@ def test_not_overwritting_logging_config_in_code( resp = httpx.post("http://localhost:8000/app1").json() check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) - def test_logs_dir(self, client: ServeControllerClient): - + def test_logs_dir(self, serve_instance): + client = serve_instance config_dict = self.get_deploy_config() config_dict["applications"][0]["logging_config"] = { "log_level": "DEBUG", @@ -261,8 +258,8 @@ def test_logs_dir(self, client: ServeControllerClient): check_log_file(resp["log_file"], [".*this_is_debug_info.*"]) @pytest.mark.parametrize("enable_access_log", [True, False]) - def test_access_log(self, client: ServeControllerClient, enable_access_log: bool): - + def test_access_log(self, serve_instance, enable_access_log: bool): + client = serve_instance config_dict = self.get_deploy_config() config_dict["applications"][0]["logging_config"] = { "enable_access_log": enable_access_log, @@ -282,9 +279,9 @@ def test_access_log(self, client: ServeControllerClient, enable_access_log: bool check_log_file(resp["log_file"], [".*this_is_access_log.*"]) -def test_deploy_with_no_applications(client: ServeControllerClient): +def test_deploy_with_no_applications(serve_instance): """Deploy an empty list of applications, serve should just be started.""" - + client = serve_instance config = ServeDeploySchema.parse_obj({"applications": []}) client.deploy_apps(config) @@ -304,11 +301,11 @@ def serve_running(): wait_for_condition(serve_running) -def test_deployments_not_listed_in_config(client: ServeControllerClient): +def test_deployments_not_listed_in_config(serve_instance): """Apply a config without the app's deployments listed. The deployments should not redeploy. """ - + client = serve_instance config = { "applications": [{"import_path": "ray.serve.tests.test_config_files.pid.node"}] } @@ -328,9 +325,7 @@ def test_deployments_not_listed_in_config(client: ServeControllerClient): @pytest.mark.parametrize("rebuild", [True, False]) -def test_redeploy_old_config_after_failed_deployment( - client: ServeControllerClient, rebuild -): +def test_redeploy_old_config_after_failed_deployment(serve_instance, rebuild): """ 1. Deploy application which succeeds. 2. Redeploy application with an import path that fails. @@ -338,7 +333,7 @@ def test_redeploy_old_config_after_failed_deployment( Verify that step 3 succeeds and the application returns to running state. """ - + client = serve_instance app_config = { "name": "default", "import_path": "ray.serve.tests.test_config_files.world.DagNode", @@ -381,7 +376,7 @@ def check_deploy_failed(message): wait_for_condition(check_application_running) -def test_deploy_does_not_affect_dynamic_apps(client: ServeControllerClient): +def test_deploy_does_not_affect_dynamic_apps(serve_instance): """ Deploy a set of apps via the declarative API (REST API) and then a dynamic app via the imperative API (`serve.run`). @@ -389,7 +384,7 @@ def test_deploy_does_not_affect_dynamic_apps(client: ServeControllerClient): Check that applying a new config via the declarative API does not affect the app deployed using the imperative API. """ - + client = serve_instance config = ServeDeploySchema( applications=[ ServeApplicationSchema( @@ -542,8 +537,9 @@ def __call__(self, *args) -> str: wait_for_condition(lambda: "declarative-app-2" not in serve.status().applications) -def test_change_route_prefix(client: ServeControllerClient): +def test_change_route_prefix(serve_instance): # Deploy application with route prefix /old + client = serve_instance app_config = { "name": "default", "route_prefix": "/old", @@ -573,9 +569,9 @@ def check_switched(): wait_for_condition(check_switched) -def test_num_replicas_auto_api(client: ServeControllerClient): +def test_num_replicas_auto_api(serve_instance): """Test setting only `num_replicas="auto"`.""" - + client = serve_instance config_template = { "import_path": "ray.serve.tests.test_config_files.pid.node", "deployments": [{"name": "f", "num_replicas": "auto"}], @@ -609,9 +605,9 @@ def test_num_replicas_auto_api(client: ServeControllerClient): } -def test_num_replicas_auto_basic(client: ServeControllerClient): +def test_num_replicas_auto_basic(serve_instance): """Test `num_replicas="auto"` and the default values are used in autoscaling.""" - + client = serve_instance signal = SignalActor.options(name="signal123").remote() config_template = { @@ -676,9 +672,9 @@ def check_num_waiters(target: int): signal.send.remote() -def test_deploy_one_app_failed(client: ServeControllerClient): +def test_deploy_one_app_failed(serve_instance): """Deploy two applications with separate runtime envs.""" - + client = serve_instance world_import_path = "ray.serve.tests.test_config_files.world.DagNode" fail_import_path = "ray.serve.tests.test_config_files.fail.node" config_template = { @@ -715,9 +711,10 @@ def test_deploy_one_app_failed(client: ServeControllerClient): assert r.status_code == 503 and "unavailable" in r.text -def test_deploy_with_route_prefix_conflict(client: ServeControllerClient): +def test_deploy_with_route_prefix_conflict(serve_instance): world_import_path = "ray.serve.tests.test_config_files.world.DagNode" pizza_import_path = "ray.serve.tests.test_config_files.pizza.serve_dag" + client = serve_instance test_config = { "applications": [ { @@ -780,41 +777,5 @@ def check(): ) -def test_controller_recover_and_deploy(client: ServeControllerClient): - """Ensure that in-progress deploy can finish even after controller dies.""" - - signal = SignalActor.options(name="signal123").remote() - - config_json = { - "applications": [ - { - "name": SERVE_DEFAULT_APP_NAME, - "import_path": "ray.serve.tests.test_config_files.hangs.app", - } - ] - } - config = ServeDeploySchema.parse_obj(config_json) - client.deploy_apps(config) - - wait_for_condition( - lambda: serve.status().applications["default"].status == "DEPLOYING" - ) - ray.kill(client._controller, no_restart=False) - - signal.send.remote() - - # When controller restarts, it should redeploy config automatically - wait_for_condition( - lambda: httpx.get("http://localhost:8000/").text == "hello world" - ) - - serve.shutdown() - serve.start() - client = _get_global_client() - - # Ensure config checkpoint has been deleted - assert SERVE_DEFAULT_APP_NAME not in serve.status().applications - - if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From bb1c1d2c92024620f4f4612f6b766ef2325b5183 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 3 Jul 2025 08:49:25 -0700 Subject: [PATCH 0034/1566] [serve] speed up CI tests (#54303) Speed up some of the tests in `test_cli` by using `serve_instance`. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 13 + python/ray/serve/tests/BUILD | 1 + python/ray/serve/tests/test_cli.py | 216 +++--- python/ray/serve/tests/test_cli_2.py | 847 ++++++------------------ python/ray/serve/tests/test_cli_3.py | 543 +++++++++++++++ 5 files changed, 833 insertions(+), 787 deletions(-) create mode 100644 python/ray/serve/tests/test_cli_3.py diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index d1db5f3e70a6..5b7e24967936 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -9,6 +9,7 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union import grpc +import httpx import requests from starlette.requests import Request @@ -424,6 +425,18 @@ def check_telemetry( return True +CONNECTION_ERROR_MSG = "connection error" + + +def ping_endpoint(endpoint: str, params: str = ""): + endpoint = endpoint.lstrip("/") + + try: + return httpx.get(f"http://localhost:8000/{endpoint}{params}").text + except httpx.HTTPError: + return CONNECTION_ERROR_MSG + + def ping_grpc_list_applications(channel, app_names, test_draining=False): import pytest diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index e1b87c07b67d..ee8d738e8bbb 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -156,6 +156,7 @@ py_test_module_list( files = [ "test_cli.py", "test_cli_2.py", + "test_cli_3.py", ], tags = [ "exclusive", diff --git a/python/ray/serve/tests/test_cli.py b/python/ray/serve/tests/test_cli.py index eca44e53a237..8394b27e5528 100644 --- a/python/ray/serve/tests/test_cli.py +++ b/python/ray/serve/tests/test_cli.py @@ -10,11 +10,10 @@ import pytest import yaml -import ray from ray import serve from ray._common.test_utils import wait_for_condition from ray.serve._private.common import DeploymentID -from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME from ray.serve.scripts import remove_ansi_escape_sequences from ray.util.state import list_actors @@ -30,46 +29,6 @@ def assert_deployments_live(ids: List[DeploymentID]): assert any(prefix in actor_name for actor_name in running_actor_names), msg -def test_start_shutdown(ray_start_stop): - subprocess.check_output(["serve", "start"]) - # deploy a simple app - import_path = "ray.serve.tests.test_config_files.arg_builders.build_echo_app" - - deploy_response = subprocess.check_output(["serve", "deploy", import_path]) - assert b"Sent deploy request successfully." in deploy_response - - wait_for_condition( - check_http_response, - expected_text="DEFAULT", - timeout=15, - ) - - ret = subprocess.check_output(["serve", "shutdown", "-y"]) - assert b"Sent shutdown request; applications will be deleted asynchronously" in ret - - def check_no_apps(): - status = subprocess.check_output(["serve", "status"]) - return b"applications: {}" in status - - wait_for_condition(check_no_apps, timeout=15) - - # Test shutdown when no Serve instance is running - ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) - assert b"No Serve instance found running" in ret - - -def test_start_shutdown_without_serve_running(ray_start_stop): - # Test shutdown when no Serve instance is running - ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) - assert b"No Serve instance found running" in ret - - -def test_start_shutdown_without_ray_running(): - # Test shutdown when Ray is not running - ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) - assert b"Unable to shutdown Serve on the cluster" in ret - - def check_http_response(expected_text: str, json: Optional[Dict] = None): resp = httpx.post("http://localhost:8000/", json=json) assert resp.text == expected_text @@ -77,10 +36,8 @@ def check_http_response(expected_text: str, json: Optional[Dict] = None): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_basic(ray_start_stop): +def test_deploy_basic(serve_instance): """Deploys some valid config files and checks that the deployments work.""" - ray.init(address="auto", namespace=SERVE_NAMESPACE) - # Create absolute file names to YAML config files pizza_file_name = os.path.join( os.path.dirname(__file__), "test_config_files", "pizza.yaml" @@ -152,44 +109,10 @@ def test_deploy_basic(ray_start_stop): assert_deployments_live(deployments) print("All deployments are live.\n") - ray.shutdown() - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_with_http_options(ray_start_stop): - """Deploys config with host and port options specified""" - - f1 = os.path.join( - os.path.dirname(__file__), "test_config_files", "basic_graph_http.yaml" - ) - success_message_fragment = b"Sent deploy request successfully." - - with open(f1, "r") as config_file: - config = yaml.safe_load(config_file) - - deploy_response = subprocess.check_output(["serve", "deploy", f1]) - assert success_message_fragment in deploy_response - - wait_for_condition( - lambda: httpx.post("http://localhost:8005/", json=None).text - == "wonderful world", - timeout=15, - ) - - # Config should contain matching host and port options - info_response = subprocess.check_output(["serve", "config"]) - info = yaml.safe_load(info_response) - - # TODO(zcin): the assertion should just be `info == config` here but the output - # formatting removes a lot of info. - assert info == config["applications"][0] - @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_multi_app_basic(ray_start_stop): +def test_deploy_multi_app_basic(serve_instance): """Deploys some valid config files and checks that the deployments work.""" - ray.init(address="auto", namespace=SERVE_NAMESPACE) - # Create absolute file names to YAML config files two_pizzas = os.path.join( os.path.dirname(__file__), "test_config_files", "two_pizzas.yaml" @@ -278,11 +201,9 @@ def test_deploy_multi_app_basic(ray_start_stop): assert_deployments_live(deployment_names) print("All deployments are live.\n") - ray.shutdown() - @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_duplicate_apps(ray_start_stop): +def test_deploy_duplicate_apps(serve_instance): """If a config with duplicate app names is deployed, `serve deploy` should fail. The response should clearly indicate a validation error. """ @@ -299,7 +220,7 @@ def test_deploy_duplicate_apps(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_duplicate_routes(ray_start_stop): +def test_deploy_duplicate_routes(serve_instance): """If a config with duplicate routes is deployed, the PUT request should fail. The response should clearly indicate a validation error. """ @@ -316,7 +237,7 @@ def test_deploy_duplicate_routes(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_bad_v2_config(ray_start_stop): +def test_deploy_bad_v2_config(serve_instance): """Deploy a bad config with field applications, should try to parse as v2 config.""" config_file = os.path.join( @@ -336,7 +257,7 @@ def test_deploy_bad_v2_config(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_multi_app_builder_with_args(ray_start_stop): +def test_deploy_multi_app_builder_with_args(serve_instance): """Deploys a config file containing multiple applications that take arguments.""" # Create absolute file names to YAML config file. apps_with_args = os.path.join( @@ -367,7 +288,7 @@ def test_deploy_multi_app_builder_with_args(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_config_multi_app(ray_start_stop): +def test_config_multi_app(serve_instance): """Deploys multi-app config and checks output of `serve config`.""" # Check that `serve config` works even if no Serve app is running @@ -390,7 +311,7 @@ def test_config_multi_app(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_cli_without_config_deploy(ray_start_stop): +def test_cli_without_config_deploy(serve_instance): """Deploys application with serve.run instead of a config, and check that cli still works as expected. """ @@ -414,12 +335,10 @@ def check_cli(): return True wait_for_condition(check_cli) - serve.shutdown() - ray.shutdown() @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_config_with_deleting_app(ray_start_stop): +def test_config_with_deleting_app(serve_instance): """Test that even if one or more apps is deleting, serve config still works""" config_json1 = { @@ -481,7 +400,7 @@ def check_cli(expected_configs: List, expected_statuses: int): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_basic(ray_start_stop): +def test_status_basic(serve_instance): """Deploys a config file and checks its status.""" # Check that `serve status` works even if no Serve app is running @@ -515,8 +434,11 @@ def num_live_deployments(app_name): for name, status in default_app["deployments"].items(): expected_deployments.remove(name) assert status["status"] in {"HEALTHY", "UPDATING"} - assert status["status_trigger"] == "CONFIG_UPDATE_COMPLETED" - assert status["replica_states"]["RUNNING"] in {0, 1} + assert status["status_trigger"] in { + "CONFIG_UPDATE_COMPLETED", + "CONFIG_UPDATE_STARTED", + } + assert status["replica_states"].get("RUNNING", 0) in {0, 1} assert "message" in status assert len(expected_deployments) == 0 @@ -537,7 +459,7 @@ def proxy_healthy(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_error_msg_format(ray_start_stop): +def test_status_error_msg_format(serve_instance): """Deploys a faulty config file and checks its status.""" config_file_name = os.path.join( @@ -564,7 +486,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_invalid_runtime_env(ray_start_stop): +def test_status_invalid_runtime_env(serve_instance): """Deploys a config file with invalid runtime env and checks status. get_status() should not throw error (meaning REST API returned 200 status code) and @@ -589,7 +511,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_syntax_error(ray_start_stop): +def test_status_syntax_error(serve_instance): """Deploys Serve app with syntax error, checks error message has traceback.""" config_file_name = os.path.join( @@ -612,7 +534,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_constructor_error(ray_start_stop): +def test_status_constructor_error(serve_instance): """Deploys Serve deployment that errors out in constructor, checks that the traceback is surfaced. """ @@ -640,7 +562,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_constructor_retry_error(ray_start_stop): +def test_status_constructor_retry_error(serve_instance): """Deploys Serve deployment that errors out in constructor, checks that the retry message is surfaced. """ @@ -668,7 +590,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_package_unavailable_in_controller(ray_start_stop): +def test_status_package_unavailable_in_controller(serve_instance): """Test that exceptions raised from packages that are installed on deployment actors but not on controller is serialized and surfaced properly. """ @@ -692,7 +614,7 @@ def check_for_failed_deployment(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_max_replicas_per_node(ray_start_stop): +def test_max_replicas_per_node(serve_instance): """Test that max_replicas_per_node can be set via config file.""" config_file_name = os.path.join( @@ -716,7 +638,7 @@ def check_application_status(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_replica_placement_group_options(ray_start_stop): +def test_replica_placement_group_options(serve_instance): """Test that placement group options can be set via config file.""" config_file_name = os.path.join( @@ -741,7 +663,7 @@ def check_application_status(): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deploy_from_import_path(ray_start_stop): +def test_deploy_from_import_path(serve_instance): """Test that `deploy` works from an import path.""" import_path = "ray.serve.tests.test_config_files.arg_builders.build_echo_app" @@ -762,32 +684,74 @@ def test_deploy_from_import_path(ray_start_stop): @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -@pytest.mark.parametrize( - "ray_start_stop_in_specific_directory", - [ - os.path.join(os.path.dirname(__file__), "test_config_files"), - ], - indirect=True, -) -def test_deploy_with_access_to_current_directory(ray_start_stop_in_specific_directory): - """Test serve deploy using modules in the current directory succeeds. - - There was an issue where dashboard client doesn't add the current directory to - the sys.path and failed to deploy a Serve app defined in the directory. This - test ensures that files in the current directory can be accessed and deployed. - - See: https://github.com/ray-project/ray/issues/43889 - """ - # Deploy Serve application with a config in the current directory. - subprocess.check_output(["serve", "deploy", "use_current_working_directory.yaml"]) +def test_status_multi_app(serve_instance): + """Deploys a multi-app config file and checks their status.""" + # Check that `serve status` works even if no Serve app is running + subprocess.check_output(["serve", "status"]) + print("Confirmed `serve status` works when nothing has been deployed.") - # Ensure serve deploy eventually succeeds. - def check_deploy_successfully(): + # Deploy config + config_file_name = os.path.join( + os.path.dirname(__file__), "test_config_files", "pizza_world.yaml" + ) + subprocess.check_output(["serve", "deploy", config_file_name]) + print("Deployed config successfully.") + + def num_live_deployments(): status_response = subprocess.check_output(["serve", "status"]) - assert b"RUNNING" in status_response - return True + status = yaml.safe_load(status_response)["applications"] + return len(status["app1"]["deployments"]) and len(status["app2"]["deployments"]) + + wait_for_condition(lambda: num_live_deployments() == 3, timeout=15) + print("All deployments are live.") + + status_response = subprocess.check_output( + ["serve", "status", "-a", "http://localhost:8265/"] + ) + statuses = yaml.safe_load(status_response)["applications"] - wait_for_condition(check_deploy_successfully, timeout=5) + expected_deployments_1 = {"f", "BasicDriver"} + expected_deployments_2 = { + "Multiplier", + "Adder", + "Router", + } + for deployment_name, deployment in statuses["app1"]["deployments"].items(): + expected_deployments_1.remove(deployment_name) + assert deployment["status"] in {"HEALTHY", "UPDATING"} + assert "message" in deployment + for deployment_name, deployment in statuses["app2"]["deployments"].items(): + expected_deployments_2.remove(deployment_name) + assert deployment["status"] in {"HEALTHY", "UPDATING"} + assert "message" in deployment + assert len(expected_deployments_1) == 0 + assert len(expected_deployments_2) == 0 + print("All expected deployments are present in the status output.") + + for status in statuses.values(): + assert status["status"] in {"DEPLOYING", "RUNNING"} + assert time.time() > status["last_deployed_time_s"] + print("Verified status and deployment timestamp of both apps.") + + +@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") +def test_deployment_contains_utils(serve_instance): + """Test when deployment contains utils module, it can be deployed successfully. + + When the deployment contains utils module, running serve deploy should successfully + deployment the application and return the correct response. + """ + + config_file = os.path.join( + os.path.dirname(__file__), + "test_config_files", + "deployment_uses_utils_module.yaml", + ) + + subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/").text == "hello_from_utils" + ) if __name__ == "__main__": diff --git a/python/ray/serve/tests/test_cli_2.py b/python/ray/serve/tests/test_cli_2.py index cecdee478148..fecf6defcef9 100644 --- a/python/ray/serve/tests/test_cli_2.py +++ b/python/ray/serve/tests/test_cli_2.py @@ -4,9 +4,8 @@ import signal import subprocess import sys -import time from tempfile import NamedTemporaryFile -from typing import Pattern +from typing import Dict, Optional, Pattern import grpc import httpx @@ -15,10 +14,10 @@ import ray from ray import serve -from ray._common.pydantic_compat import BaseModel from ray._common.test_utils import wait_for_condition from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( + ping_endpoint, ping_fruit_stand, ping_grpc_another_method, ping_grpc_call_method, @@ -28,27 +27,11 @@ ping_grpc_streaming, ) from ray.serve.generated import serve_pb2, serve_pb2_grpc -from ray.serve.handle import DeploymentHandle -from ray.serve.tests.common.remote_uris import ( - TEST_DAG_PINNED_URI, - TEST_DEPLOY_GROUP_PINNED_URI, -) -from ray.serve.tests.conftest import check_ray_stop -from ray.tests.conftest import tmp_working_dir # noqa: F401, E501 from ray.util.state import list_actors CONNECTION_ERROR_MSG = "connection error" -def ping_endpoint(endpoint: str, params: str = ""): - endpoint = endpoint.lstrip("/") - - try: - return httpx.get(f"http://localhost:8000/{endpoint}{params}").text - except httpx.HTTPError: - return CONNECTION_ERROR_MSG - - def check_app_status(app_name: str, expected_status: str): status_response = subprocess.check_output(["serve", "status"]) status = yaml.safe_load(status_response)["applications"] @@ -60,55 +43,50 @@ def check_app_running(app_name: str): return check_app_status(app_name, "RUNNING") -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_status_multi_app(ray_start_stop): - """Deploys a multi-app config file and checks their status.""" - # Check that `serve status` works even if no Serve app is running - subprocess.check_output(["serve", "status"]) - print("Confirmed `serve status` works when nothing has been deployed.") +def check_http_response(expected_text: str, json: Optional[Dict] = None): + resp = httpx.post("http://localhost:8000/", json=json) + assert resp.text == expected_text + return True - # Deploy config - config_file_name = os.path.join( - os.path.dirname(__file__), "test_config_files", "pizza_world.yaml" - ) - subprocess.check_output(["serve", "deploy", config_file_name]) - print("Deployed config successfully.") - def num_live_deployments(): - status_response = subprocess.check_output(["serve", "status"]) - status = yaml.safe_load(status_response)["applications"] - return len(status["app1"]["deployments"]) and len(status["app2"]["deployments"]) +def test_start_shutdown(ray_start_stop): + subprocess.check_output(["serve", "start"]) + # deploy a simple app + import_path = "ray.serve.tests.test_config_files.arg_builders.build_echo_app" - wait_for_condition(lambda: num_live_deployments() == 3, timeout=15) - print("All deployments are live.") + deploy_response = subprocess.check_output(["serve", "deploy", import_path]) + assert b"Sent deploy request successfully." in deploy_response - status_response = subprocess.check_output( - ["serve", "status", "-a", "http://localhost:8265/"] + wait_for_condition( + check_http_response, + expected_text="DEFAULT", + timeout=15, ) - statuses = yaml.safe_load(status_response)["applications"] - - expected_deployments_1 = {"f", "BasicDriver"} - expected_deployments_2 = { - "Multiplier", - "Adder", - "Router", - } - for deployment_name, deployment in statuses["app1"]["deployments"].items(): - expected_deployments_1.remove(deployment_name) - assert deployment["status"] in {"HEALTHY", "UPDATING"} - assert "message" in deployment - for deployment_name, deployment in statuses["app2"]["deployments"].items(): - expected_deployments_2.remove(deployment_name) - assert deployment["status"] in {"HEALTHY", "UPDATING"} - assert "message" in deployment - assert len(expected_deployments_1) == 0 - assert len(expected_deployments_2) == 0 - print("All expected deployments are present in the status output.") - - for status in statuses.values(): - assert status["status"] in {"DEPLOYING", "RUNNING"} - assert time.time() > status["last_deployed_time_s"] - print("Verified status and deployment timestamp of both apps.") + + ret = subprocess.check_output(["serve", "shutdown", "-y"]) + assert b"Sent shutdown request; applications will be deleted asynchronously" in ret + + def check_no_apps(): + status = subprocess.check_output(["serve", "status"]) + return b"applications: {}" in status + + wait_for_condition(check_no_apps, timeout=15) + + # Test shutdown when no Serve instance is running + ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) + assert b"No Serve instance found running" in ret + + +def test_start_shutdown_without_serve_running(ray_start_stop): + # Test shutdown when no Serve instance is running + ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) + assert b"No Serve instance found running" in ret + + +# def test_start_shutdown_without_ray_running(): +# # Test shutdown when Ray is not running +# ret = subprocess.check_output(["serve", "shutdown", "-y"], stderr=subprocess.STDOUT) +# assert b"Unable to shutdown Serve on the cluster" in ret @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") @@ -167,370 +145,34 @@ def serve_status_empty(): print("`serve config` and `serve status` print empty responses.\n") -@serve.deployment -def parrot(request): - return request.query_params["sound"] - - -parrot_node = parrot.bind() - - -@pytest.mark.parametrize("number_of_kill_signals", (1, 2)) @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_application(ray_start_stop, number_of_kill_signals): - """Deploys valid config file and import path via `serve run`.""" - - # Deploy via config file - config_file_name = os.path.join( - os.path.dirname(__file__), "test_config_files", "arithmetic.yaml" - ) - - print('Running config file "arithmetic.yaml".') - p = subprocess.Popen(["serve", "run", "--address=auto", config_file_name]) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/", json=["ADD", 0]).json() == 1, - timeout=15, - ) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/", json=["SUB", 5]).json() == 3, - timeout=15, - ) - print("Run successful! Deployments are live and reachable over HTTP. Killing run.") - - for _ in range(number_of_kill_signals): - p.send_signal(signal.SIGINT) # Equivalent to ctrl-C - p.wait() - with pytest.raises(httpx.HTTPError): - httpx.post("http://localhost:8000/", json=["ADD", 0]).json() - print("Kill successful! Deployments are not reachable over HTTP.") - - print('Running node at import path "ray.serve.tests.test_cli_2.parrot_node".') - # Deploy via import path - p = subprocess.Popen( - ["serve", "run", "--address=auto", "ray.serve.tests.test_cli_2.parrot_node"] - ) - wait_for_condition(lambda: ping_endpoint("/", params="?sound=squawk") == "squawk") - print("Run successful! Deployment is live and reachable over HTTP. Killing run.") - - p.send_signal(signal.SIGINT) # Equivalent to ctrl-C - p.wait() - assert ping_endpoint("/", params="?sound=squawk") == CONNECTION_ERROR_MSG - print("Kill successful! Deployment is not reachable over HTTP.") - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_multi_app(ray_start_stop): - """Deploys valid multi-app config file via `serve run`.""" - - # Deploy via config file - config_file_name = os.path.join( - os.path.dirname(__file__), "test_config_files", "pizza_world.yaml" - ) - - print('Running config file "pizza_world.yaml".') - p = subprocess.Popen(["serve", "run", "--address=auto", config_file_name]) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").text == "wonderful world", - timeout=15, - ) - print('Application "app1" is reachable over HTTP.') - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "12 pizzas please!", - timeout=15, - ) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["MUL", 2]).text - == "20 pizzas please!", - timeout=15, - ) - print("Run successful! Deployments are live and reachable over HTTP. Killing run.") - - p.send_signal(signal.SIGINT) # Equivalent to ctrl-C - p.wait() - with pytest.raises(httpx.HTTPError): - _ = httpx.post("http://localhost:8000/app1").text - with pytest.raises(httpx.HTTPError): - _ = httpx.post("http://localhost:8000/app2", json=["ADD", 0]).text - print("Kill successful! Deployments are not reachable over HTTP.") - - -@serve.deployment -class Macaw: - def __init__(self, color, name="Mulligan", surname=None): - self.color = color - self.name = name - self.surname = surname - - def __call__(self): - if self.surname is not None: - return f"{self.name} {self.surname} is {self.color}!" - else: - return f"{self.name} is {self.color}!" - - -molly_macaw = Macaw.bind("green", name="Molly") - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_deployment_node(ray_start_stop): - """Test `serve run` with bound args and kwargs.""" - - # Deploy via import path - p = subprocess.Popen( - [ - "serve", - "run", - "--address=auto", - "ray.serve.tests.test_cli_2.molly_macaw", - ] - ) - wait_for_condition(lambda: ping_endpoint("/") == "Molly is green!", timeout=10) - p.send_signal(signal.SIGINT) - p.wait() - assert ping_endpoint("/") == CONNECTION_ERROR_MSG - - -@serve.deployment -class Echo: - def __init__(self, message: str): - print("Echo message:", message) - self._message = message - - def __call__(self, *args): - return self._message - - -echo_app = Echo.bind("hello") - - -def build_echo_app(args): - return Echo.bind(args.get("message", "DEFAULT")) - - -class TypedArgs(BaseModel): - message: str = "DEFAULT" - - -def build_echo_app_typed(args: TypedArgs): - return Echo.bind(args.message) - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -@pytest.mark.parametrize( - "import_path", - [ - "ray.serve.tests.test_cli_2.build_echo_app", - "ray.serve.tests.test_cli_2.build_echo_app_typed", - ], -) -def test_run_builder_with_args(ray_start_stop, import_path: str): - """Test `serve run` with args passed into a builder function. - - Tests both the untyped and typed args cases. - """ - # First deploy without any arguments, should get default response. - p = subprocess.Popen( - [ - "serve", - "run", - "--address=auto", - import_path, - ] - ) - wait_for_condition(lambda: ping_endpoint("") == "DEFAULT", timeout=10) - p.send_signal(signal.SIGINT) - p.wait() - assert ping_endpoint("/") == CONNECTION_ERROR_MSG - - # Now deploy passing a message as an argument, should get passed message. - p = subprocess.Popen( - [ - "serve", - "run", - "--address=auto", - import_path, - "message=hello world", - ] - ) - wait_for_condition(lambda: ping_endpoint("") == "hello world", timeout=10) - - p.send_signal(signal.SIGINT) - p.wait() - assert ping_endpoint("/") == CONNECTION_ERROR_MSG - - -@serve.deployment -class MetalDetector: - def __call__(self, *args): - return os.environ.get("buried_item", "no dice") - - -metal_detector_node = MetalDetector.bind() - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_runtime_env(ray_start_stop): - """Test `serve run` with runtime_env passed in.""" - - # With import path - p = subprocess.Popen( - [ - "serve", - "run", - "--address=auto", - "ray.serve.tests.test_cli_2.metal_detector_node", - "--runtime-env-json", - ('{"env_vars": {"buried_item": "lucky coin"} }'), - ] - ) - wait_for_condition( - lambda: ping_endpoint("MetalDetector") == "lucky coin", timeout=10 - ) - p.send_signal(signal.SIGINT) - p.wait() +def test_deploy_with_http_options(ray_start_stop): + """Deploys config with host and port options specified""" - # With config - p = subprocess.Popen( - [ - "serve", - "run", - "--address=auto", - os.path.join( - os.path.dirname(__file__), - "test_config_files", - "missing_runtime_env.yaml", - ), - "--runtime-env-json", - json.dumps( - { - "py_modules": [TEST_DEPLOY_GROUP_PINNED_URI], - "working_dir": "http://nonexistentlink-q490123950ni34t", - } - ), - "--working-dir", - TEST_DAG_PINNED_URI, - ] + f1 = os.path.join( + os.path.dirname(__file__), "test_config_files", "basic_graph_http.yaml" ) - wait_for_condition(lambda: ping_endpoint("") == "wonderful world", timeout=15) - p.send_signal(signal.SIGINT) - p.wait() - + success_message_fragment = b"Sent deploy request successfully." -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -@pytest.mark.parametrize("config_file", ["basic_graph.yaml", "basic_multi.yaml"]) -def test_run_config_port1(ray_start_stop, config_file): - """Test that `serve run` defaults to port 8000.""" - config_file_name = os.path.join( - os.path.dirname(__file__), "test_config_files", config_file - ) - p = subprocess.Popen(["serve", "run", config_file_name]) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/").text == "wonderful world", - timeout=15, - ) - p.send_signal(signal.SIGINT) - p.wait() + with open(f1, "r") as config_file: + config = yaml.safe_load(config_file) + deploy_response = subprocess.check_output(["serve", "deploy", f1]) + assert success_message_fragment in deploy_response -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -@pytest.mark.parametrize( - "config_file", ["basic_graph_http.yaml", "basic_multi_http.yaml"] -) -def test_run_config_port2(ray_start_stop, config_file): - """If config file specifies a port, the default port value should not be used.""" - config_file_name = os.path.join( - os.path.dirname(__file__), "test_config_files", config_file - ) - p = subprocess.Popen(["serve", "run", config_file_name]) wait_for_condition( - lambda: httpx.post("http://localhost:8005/").text == "wonderful world", + lambda: httpx.post("http://localhost:8005/", json=None).text + == "wonderful world", timeout=15, ) - p.send_signal(signal.SIGINT) - p.wait() - - -@serve.deployment -class ConstructorFailure: - def __init__(self): - raise RuntimeError("Intentionally failing.") + # Config should contain matching host and port options + info_response = subprocess.check_output(["serve", "config"]) + info = yaml.safe_load(info_response) -constructor_failure_node = ConstructorFailure.bind() - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_teardown(ray_start_stop): - """Consecutive serve runs should tear down controller so logs can always be seen.""" - logs = subprocess.check_output( - ["serve", "run", "ray.serve.tests.test_cli_2.constructor_failure_node"], - stderr=subprocess.STDOUT, - timeout=30, - ).decode() - assert "Intentionally failing." in logs - - logs = subprocess.check_output( - ["serve", "run", "ray.serve.tests.test_cli_2.constructor_failure_node"], - stderr=subprocess.STDOUT, - timeout=30, - ).decode() - assert "Intentionally failing." in logs - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_route_prefix_and_name_default(ray_start_stop): - """Test `serve run` without route_prefix and name options.""" - - p = subprocess.Popen(["serve", "run", "ray.serve.tests.test_cli_2.echo_app"]) - - wait_for_condition(check_app_running, app_name=SERVE_DEFAULT_APP_NAME) - assert ping_endpoint("/") == "hello" - p.send_signal(signal.SIGINT) - p.wait() - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_route_prefix_and_name_override(ray_start_stop): - """Test `serve run` with route prefix option.""" - - p = subprocess.Popen( - [ - "serve", - "run", - "--route-prefix=/hello", - "--name=hello_app", - "ray.serve.tests.test_cli_2.echo_app", - ], - ) - - wait_for_condition(check_app_running, app_name="hello_app") - assert "Path '/' not found" in ping_endpoint("/") - assert ping_endpoint("/hello") == "hello" - p.send_signal(signal.SIGINT) - p.wait() - - -@serve.deployment -def global_f(*args): - return "wonderful world" - - -@serve.deployment -class NoArgDriver: - def __init__(self, h: DeploymentHandle): - self._h = h - - async def __call__(self): - return await self._h.remote() - - -TestBuildFNode = global_f.bind() -TestBuildDagNode = NoArgDriver.bind(TestBuildFNode) - - -TestApp1Node = global_f.options(name="app1").bind() -TestApp2Node = NoArgDriver.options(name="app2").bind(global_f.bind()) + # TODO(zcin): the assertion should just be `info == config` here but the output + # formatting removes a lot of info. + assert info == config["applications"][0] @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") @@ -543,8 +185,8 @@ def test_build_multi_app(ray_start_stop): [ "serve", "build", - "ray.serve.tests.test_cli_2.TestApp1Node", - "ray.serve.tests.test_cli_2.TestApp2Node", + "ray.serve.tests.test_cli_3.TestApp1Node", + "ray.serve.tests.test_cli_3.TestApp2Node", "ray.serve.tests.test_config_files.grpc_deployment.g", "--grpc-servicer-functions", f"{grpc_servicer_func_root}.add_UserDefinedServiceServicer_to_server", @@ -584,11 +226,6 @@ def test_build_multi_app(ray_start_stop): print("Delete succeeded! Node is no longer reachable over HTTP.") -k8sFNode = global_f.options( - num_replicas=2, ray_actor_options={"num_cpus": 2, "num_gpus": 1} -).bind() - - @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") @pytest.mark.parametrize("use_command", [True, False]) def test_idempotence_after_controller_death(ray_start_stop, use_command: bool): @@ -631,6 +268,132 @@ def test_idempotence_after_controller_death(ray_start_stop, use_command: bool): ray.shutdown() +@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") +def test_serving_request_through_grpc_proxy(ray_start_stop): + """Test serving request through gRPC proxy + + When Serve runs with a gRPC deployment, the app should be deployed successfully, + both ListApplications and Healthz methods returning success response, and registered + gRPC methods are routing to the correct replica and return the correct response. + """ + config_file = os.path.join( + os.path.dirname(__file__), + "test_config_files", + "deploy_grpc_app.yaml", + ) + + subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) + + app1 = "app1" + app_names = [app1] + + channel = grpc.insecure_channel("localhost:9000") + + # Ensures ListApplications method succeeding. + wait_for_condition( + ping_grpc_list_applications, channel=channel, app_names=app_names + ) + + # Ensures Healthz method succeeding. + ping_grpc_healthz(channel) + + # Ensures a custom defined method is responding correctly. + ping_grpc_call_method(channel, app1) + + # Ensures another custom defined method is responding correctly. + ping_grpc_another_method(channel, app1) + + # Ensures model multiplexing is responding correctly. + ping_grpc_model_multiplexing(channel, app1) + + # Ensure Streaming method is responding correctly. + ping_grpc_streaming(channel, app1) + + +@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") +def test_grpc_proxy_model_composition(ray_start_stop): + """Test serving request through gRPC proxy + + When Serve runs with a gRPC deployment, the app should be deployed successfully, + both ListApplications and Healthz methods returning success response, and model + composition should work correctly. + """ + config_file = os.path.join( + os.path.dirname(__file__), + "test_config_files", + "deploy_grpc_model_composition.yaml", + ) + + subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) + + app = "app1" + app_names = [app] + + channel = grpc.insecure_channel("localhost:9000") + + # Ensures ListApplications method succeeding. + wait_for_condition( + ping_grpc_list_applications, channel=channel, app_names=app_names + ) + + # Ensures Healthz method succeeding. + ping_grpc_healthz(channel) + + # Ensure model composition is responding correctly. + ping_fruit_stand(channel, app) + + +@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") +def test_control_c_shutdown_serve_components(ray_start_stop): + """Test ctrl+c after `serve run` shuts down serve components.""" + + p = subprocess.Popen(["serve", "run", "ray.serve.tests.test_cli_3.echo_app"]) + + # Make sure Serve components are up and running + wait_for_condition(check_app_running, app_name=SERVE_DEFAULT_APP_NAME) + assert ping_endpoint("/-/healthz") == "success" + assert json.loads(ping_endpoint("/-/routes")) == {"/": "default"} + assert ping_endpoint("/") == "hello" + + # Send ctrl+c to shutdown Serve components + p.send_signal(signal.SIGINT) + p.wait() + + # Make sure Serve components are shutdown + status_response = subprocess.check_output(["serve", "status"]) + status = yaml.safe_load(status_response) + assert status == {"applications": {}, "proxies": {}, "target_capacity": None} + + +@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") +@pytest.mark.parametrize( + "ray_start_stop_in_specific_directory", + [ + os.path.join(os.path.dirname(__file__), "test_config_files"), + ], + indirect=True, +) +def test_deploy_with_access_to_current_directory(ray_start_stop_in_specific_directory): + """Test serve deploy using modules in the current directory succeeds. + + There was an issue where dashboard client doesn't add the current directory to + the sys.path and failed to deploy a Serve app defined in the directory. This + test ensures that files in the current directory can be accessed and deployed. + + See: https://github.com/ray-project/ray/issues/43889 + """ + # Deploy Serve application with a config in the current directory. + subprocess.check_output(["serve", "deploy", "use_current_working_directory.yaml"]) + + # Ensure serve deploy eventually succeeds. + def check_deploy_successfully(): + status_response = subprocess.check_output(["serve", "status"]) + assert b"RUNNING" in status_response + return True + + wait_for_condition(check_deploy_successfully, timeout=5) + + @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") class TestRayReinitialization: @pytest.fixture @@ -729,243 +492,5 @@ def test_run_with_auto_address( assert expected_warning_message not in logs -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_config_request_timeout(): - """Test running serve with request timeout in http_options. - - The config file has 0.1s as the `request_timeout_s` in the `http_options`. First - case checks that when the query runs longer than the 0.1s, the deployment returns a - task failed message. The second case checks that when the query takes less than - 0.1s, the deployment returns a success message. - """ - - # Set up ray instance to perform 1 retries - subprocess.check_output(["ray", "stop", "--force"]) - wait_for_condition( - check_ray_stop, - timeout=15, - ) - subprocess.check_output( - ["ray", "start", "--head"], - ) - wait_for_condition( - lambda: httpx.get("http://localhost:8265/api/ray/version").status_code == 200, - timeout=15, - ) - - config_file_name = os.path.join( - os.path.dirname(__file__), - "test_config_files", - "http_option_request_timeout_s.yaml", - ) - p = subprocess.Popen(["serve", "run", config_file_name]) - - # Ensure the http request is killed and failed when the deployment runs longer than - # the 0.1 request_timeout_s set in in the config yaml - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1?sleep_s=0.11").status_code == 408, - ) - - # Ensure the http request returned the correct response when the deployment runs - # shorter than the 0.1 request_timeout_s set up in the config yaml - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1?sleep_s=0.09").text - == "Task Succeeded!", - ) - - p.send_signal(signal.SIGINT) - p.wait() - - # Stop ray instance - subprocess.check_output(["ray", "stop", "--force"]) - wait_for_condition( - check_ray_stop, - timeout=15, - ) - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_deployment_contains_utils(ray_start_stop): - """Test when deployment contains utils module, it can be deployed successfully. - - When the deployment contains utils module, running serve deploy should successfully - deployment the application and return the correct response. - """ - - config_file = os.path.join( - os.path.dirname(__file__), - "test_config_files", - "deployment_uses_utils_module.yaml", - ) - - subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) - wait_for_condition( - lambda: httpx.post("http://localhost:8000/").text == "hello_from_utils" - ) - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_run_reload_basic(ray_start_stop, tmp_path): - """Test `serve run` with reload.""" - - code_template = """ -from ray import serve - -@serve.deployment -class MessageDeployment: - def __init__(self, msg): - {invalid_suffix} - self.msg = msg - - def __call__(self): - return self.msg - - -msg_app = MessageDeployment.bind("Hello {message}!") - """ - - def write_file(message: str, invalid_suffix: str = ""): - with open(os.path.join(tmp_path, "reload_serve.py"), "w") as f: - code = code_template.format(invalid_suffix=invalid_suffix, message=message) - print(f"Writing updated code:\n{code}") - f.write(code) - f.flush() - - write_file("World") - - p = subprocess.Popen( - [ - "serve", - "run", - "--app-dir", - tmp_path, - "--reload", - "reload_serve:msg_app", - ] - ) - wait_for_condition(lambda: ping_endpoint("") == "Hello World!", timeout=10) - - # Sleep to ensure the `serve run` command is in the file watching loop when we - # write the change, else it won't be picked up. - time.sleep(5) - - # Write the file: an update should be auto-triggered. - write_file("Updated") - wait_for_condition(lambda: ping_endpoint("") == "Hello Updated!", timeout=10) - - # Ensure a bad change doesn't shut down serve and serve reports deploy failed. - write_file(message="update1", invalid_suffix="foobar") - wait_for_condition( - condition_predictor=check_app_status, - app_name="default", - expected_status="DEPLOY_FAILED", - ) - - # Ensure the following reload happens as expected. - write_file("Updated2") - wait_for_condition(lambda: ping_endpoint("") == "Hello Updated2!", timeout=10) - - p.send_signal(signal.SIGINT) - p.wait() - assert ping_endpoint("") == CONNECTION_ERROR_MSG - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_serving_request_through_grpc_proxy(ray_start_stop): - """Test serving request through gRPC proxy - - When Serve runs with a gRPC deployment, the app should be deployed successfully, - both ListApplications and Healthz methods returning success response, and registered - gRPC methods are routing to the correct replica and return the correct response. - """ - config_file = os.path.join( - os.path.dirname(__file__), - "test_config_files", - "deploy_grpc_app.yaml", - ) - - subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) - - app1 = "app1" - app_names = [app1] - - channel = grpc.insecure_channel("localhost:9000") - - # Ensures ListApplications method succeeding. - wait_for_condition( - ping_grpc_list_applications, channel=channel, app_names=app_names - ) - - # Ensures Healthz method succeeding. - ping_grpc_healthz(channel) - - # Ensures a custom defined method is responding correctly. - ping_grpc_call_method(channel, app1) - - # Ensures another custom defined method is responding correctly. - ping_grpc_another_method(channel, app1) - - # Ensures model multiplexing is responding correctly. - ping_grpc_model_multiplexing(channel, app1) - - # Ensure Streaming method is responding correctly. - ping_grpc_streaming(channel, app1) - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_grpc_proxy_model_composition(ray_start_stop): - """Test serving request through gRPC proxy - - When Serve runs with a gRPC deployment, the app should be deployed successfully, - both ListApplications and Healthz methods returning success response, and model - composition should work correctly. - """ - config_file = os.path.join( - os.path.dirname(__file__), - "test_config_files", - "deploy_grpc_model_composition.yaml", - ) - - subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) - - app = "app1" - app_names = [app] - - channel = grpc.insecure_channel("localhost:9000") - - # Ensures ListApplications method succeeding. - wait_for_condition( - ping_grpc_list_applications, channel=channel, app_names=app_names - ) - - # Ensures Healthz method succeeding. - ping_grpc_healthz(channel) - - # Ensure model composition is responding correctly. - ping_fruit_stand(channel, app) - - -@pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") -def test_control_c_shutdown_serve_components(ray_start_stop): - """Test ctrl+c after `serve run` shuts down serve components.""" - - p = subprocess.Popen(["serve", "run", "ray.serve.tests.test_cli_2.echo_app"]) - - # Make sure Serve components are up and running - wait_for_condition(check_app_running, app_name=SERVE_DEFAULT_APP_NAME) - assert ping_endpoint("/-/healthz") == "success" - assert json.loads(ping_endpoint("/-/routes")) == {"/": "default"} - assert ping_endpoint("/") == "hello" - - # Send ctrl+c to shutdown Serve components - p.send_signal(signal.SIGINT) - p.wait() - - # Make sure Serve components are shutdown - status_response = subprocess.check_output(["serve", "status"]) - status = yaml.safe_load(status_response) - assert status == {"applications": {}, "proxies": {}, "target_capacity": None} - - if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_cli_3.py b/python/ray/serve/tests/test_cli_3.py new file mode 100644 index 000000000000..c2d4f43b20e5 --- /dev/null +++ b/python/ray/serve/tests/test_cli_3.py @@ -0,0 +1,543 @@ +import json +import os +import signal +import subprocess +import sys +import time + +import httpx +import pytest +import yaml + +from ray import serve +from ray._common.pydantic_compat import BaseModel +from ray._common.test_utils import wait_for_condition +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve._private.test_utils import ping_endpoint +from ray.serve.handle import DeploymentHandle +from ray.serve.tests.common.remote_uris import ( + TEST_DAG_PINNED_URI, + TEST_DEPLOY_GROUP_PINNED_URI, +) + +CONNECTION_ERROR_MSG = "connection error" + + +def check_app_status(app_name: str, expected_status: str): + status_response = subprocess.check_output(["serve", "status"]) + status = yaml.safe_load(status_response)["applications"] + assert status[app_name]["status"] == expected_status + return True + + +def check_app_running(app_name: str): + return check_app_status(app_name, "RUNNING") + + +@serve.deployment +def parrot(request): + return request.query_params["sound"] + + +parrot_node = parrot.bind() + + +@serve.deployment +class MetalDetector: + def __call__(self, *args): + return os.environ.get("buried_item", "no dice") + + +metal_detector_node = MetalDetector.bind() + + +@serve.deployment +class ConstructorFailure: + def __init__(self): + raise RuntimeError("Intentionally failing.") + + +constructor_failure_node = ConstructorFailure.bind() + + +@serve.deployment +class Macaw: + def __init__(self, color, name="Mulligan", surname=None): + self.color = color + self.name = name + self.surname = surname + + def __call__(self): + if self.surname is not None: + return f"{self.name} {self.surname} is {self.color}!" + else: + return f"{self.name} is {self.color}!" + + +molly_macaw = Macaw.bind("green", name="Molly") + + +@serve.deployment +def global_f(*args): + return "wonderful world" + + +@serve.deployment +class NoArgDriver: + def __init__(self, h: DeploymentHandle): + self._h = h + + async def __call__(self): + return await self._h.remote() + + +TestBuildFNode = global_f.bind() +TestBuildDagNode = NoArgDriver.bind(TestBuildFNode) + + +TestApp1Node = global_f.options(name="app1").bind() +TestApp2Node = NoArgDriver.options(name="app2").bind(global_f.bind()) + + +@serve.deployment +class Echo: + def __init__(self, message: str): + print("Echo message:", message) + self._message = message + + def __call__(self, *args): + return self._message + + +echo_app = Echo.bind("hello") + + +def build_echo_app(args): + return Echo.bind(args.get("message", "DEFAULT")) + + +class TypedArgs(BaseModel): + message: str = "DEFAULT" + + +def build_echo_app_typed(args: TypedArgs): + return Echo.bind(args.message) + + +k8sFNode = global_f.options( + num_replicas=2, ray_actor_options={"num_cpus": 2, "num_gpus": 1} +).bind() + + +class TestRun: + @pytest.mark.parametrize("number_of_kill_signals", (1, 2)) + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_application(self, ray_start_stop, number_of_kill_signals): + """Deploys valid config file and import path via `serve run`.""" + + # Deploy via config file + config_file_name = os.path.join( + os.path.dirname(__file__), "test_config_files", "arithmetic.yaml" + ) + + print('Running config file "arithmetic.yaml".') + p = subprocess.Popen(["serve", "run", "--address=auto", config_file_name]) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/", json=["ADD", 0]).json() == 1, + timeout=15, + ) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/", json=["SUB", 5]).json() == 3, + timeout=15, + ) + print( + "Run successful! Deployments are live and reachable over HTTP. Killing run." + ) + + for _ in range(number_of_kill_signals): + p.send_signal(signal.SIGINT) # Equivalent to ctrl-C + p.wait() + with pytest.raises(httpx.HTTPError): + httpx.post("http://localhost:8000/", json=["ADD", 0]).json() + print("Kill successful! Deployments are not reachable over HTTP.") + + print('Running node at import path "ray.serve.tests.test_cli_3.parrot_node".') + # Deploy via import path + p = subprocess.Popen( + ["serve", "run", "--address=auto", "ray.serve.tests.test_cli_3.parrot_node"] + ) + wait_for_condition( + lambda: ping_endpoint("/", params="?sound=squawk") == "squawk" + ) + print( + "Run successful! Deployment is live and reachable over HTTP. Killing run." + ) + + p.send_signal(signal.SIGINT) # Equivalent to ctrl-C + p.wait() + assert ping_endpoint("/", params="?sound=squawk") == CONNECTION_ERROR_MSG + print("Kill successful! Deployment is not reachable over HTTP.") + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_multi_app(self, ray_start_stop): + """Deploys valid multi-app config file via `serve run`.""" + + # Deploy via config file + config_file_name = os.path.join( + os.path.dirname(__file__), "test_config_files", "pizza_world.yaml" + ) + + print('Running config file "pizza_world.yaml".') + p = subprocess.Popen(["serve", "run", "--address=auto", config_file_name]) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app1").text == "wonderful world", + timeout=15, + ) + print('Application "app1" is reachable over HTTP.') + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text + == "12 pizzas please!", + timeout=15, + ) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/app2", json=["MUL", 2]).text + == "20 pizzas please!", + timeout=15, + ) + print( + "Run successful! Deployments are live and reachable over HTTP. Killing run." + ) + + p.send_signal(signal.SIGINT) # Equivalent to ctrl-C + p.wait() + with pytest.raises(httpx.HTTPError): + _ = httpx.post("http://localhost:8000/app1").text + with pytest.raises(httpx.HTTPError): + _ = httpx.post("http://localhost:8000/app2", json=["ADD", 0]).text + print("Kill successful! Deployments are not reachable over HTTP.") + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_deployment_node(self, ray_start_stop): + """Test `serve run` with bound args and kwargs.""" + + # Deploy via import path + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + "ray.serve.tests.test_cli_3.molly_macaw", + ] + ) + wait_for_condition(lambda: ping_endpoint("/") == "Molly is green!", timeout=10) + p.send_signal(signal.SIGINT) + p.wait() + assert ping_endpoint("/") == CONNECTION_ERROR_MSG + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + @pytest.mark.parametrize( + "import_path", + [ + "ray.serve.tests.test_cli_3.build_echo_app", + "ray.serve.tests.test_cli_3.build_echo_app_typed", + ], + ) + def test_run_builder_with_args(self, ray_start_stop, import_path: str): + """Test `serve run` with args passed into a builder function. + + Tests both the untyped and typed args cases. + """ + # First deploy without any arguments, should get default response. + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + import_path, + ] + ) + wait_for_condition(lambda: ping_endpoint("") == "DEFAULT", timeout=10) + p.send_signal(signal.SIGINT) + p.wait() + assert ping_endpoint("/") == CONNECTION_ERROR_MSG + + # Now deploy passing a message as an argument, should get passed message. + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + import_path, + "message=hello world", + ] + ) + wait_for_condition(lambda: ping_endpoint("") == "hello world", timeout=10) + + p.send_signal(signal.SIGINT) + p.wait() + assert ping_endpoint("/") == CONNECTION_ERROR_MSG + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_runtime_env(self, ray_start_stop): + """Test `serve run` with runtime_env passed in.""" + + # With import path + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + "ray.serve.tests.test_cli_3.metal_detector_node", + "--runtime-env-json", + ('{"env_vars": {"buried_item": "lucky coin"} }'), + ] + ) + wait_for_condition( + lambda: ping_endpoint("MetalDetector") == "lucky coin", timeout=10 + ) + p.send_signal(signal.SIGINT) + p.wait() + + # With config + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + os.path.join( + os.path.dirname(__file__), + "test_config_files", + "missing_runtime_env.yaml", + ), + "--runtime-env-json", + json.dumps( + { + "py_modules": [TEST_DEPLOY_GROUP_PINNED_URI], + "working_dir": "http://nonexistentlink-q490123950ni34t", + } + ), + "--working-dir", + TEST_DAG_PINNED_URI, + ] + ) + wait_for_condition(lambda: ping_endpoint("") == "wonderful world", timeout=15) + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + @pytest.mark.parametrize("config_file", ["basic_graph.yaml", "basic_multi.yaml"]) + def test_run_config_port1(self, ray_start_stop, config_file): + """Test that `serve run` defaults to port 8000.""" + config_file_name = os.path.join( + os.path.dirname(__file__), "test_config_files", config_file + ) + p = subprocess.Popen(["serve", "run", config_file_name]) + wait_for_condition( + lambda: httpx.post("http://localhost:8000/").text == "wonderful world", + timeout=15, + ) + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + @pytest.mark.parametrize( + "config_file", ["basic_graph_http.yaml", "basic_multi_http.yaml"] + ) + def test_run_config_port2(self, ray_start_stop, config_file): + """If config file specifies a port, the default port value should not be used.""" + config_file_name = os.path.join( + os.path.dirname(__file__), "test_config_files", config_file + ) + p = subprocess.Popen(["serve", "run", config_file_name]) + wait_for_condition( + lambda: httpx.post("http://localhost:8005/").text == "wonderful world", + timeout=15, + ) + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_teardown(self, ray_start_stop): + """Consecutive serve runs should tear down controller so logs can always be seen.""" + logs = subprocess.check_output( + ["serve", "run", "ray.serve.tests.test_cli_3.constructor_failure_node"], + stderr=subprocess.STDOUT, + timeout=30, + ).decode() + assert "Intentionally failing." in logs + + logs = subprocess.check_output( + ["serve", "run", "ray.serve.tests.test_cli_3.constructor_failure_node"], + stderr=subprocess.STDOUT, + timeout=30, + ).decode() + assert "Intentionally failing." in logs + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_route_prefix_and_name_default(self, ray_start_stop): + """Test `serve run` without route_prefix and name options.""" + + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + "ray.serve.tests.test_cli_3.echo_app", + ] + ) + + wait_for_condition(check_app_running, app_name=SERVE_DEFAULT_APP_NAME) + assert ping_endpoint("/") == "hello" + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_route_prefix_and_name_override(self, ray_start_stop): + """Test `serve run` with route prefix option.""" + + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + "--route-prefix=/hello", + "--name=hello_app", + "ray.serve.tests.test_cli_3.echo_app", + ], + ) + + wait_for_condition(check_app_running, app_name="hello_app") + assert "Path '/' not found" in ping_endpoint("/") + assert ping_endpoint("/hello") == "hello" + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_config_request_timeout(self, ray_start_stop): + """Test running serve with request timeout in http_options. + + The config file has 0.1s as the `request_timeout_s` in the `http_options`. First + case checks that when the query runs longer than the 0.1s, the deployment returns a + task failed message. The second case checks that when the query takes less than + 0.1s, the deployment returns a success message. + """ + + config_file_name = os.path.join( + os.path.dirname(__file__), + "test_config_files", + "http_option_request_timeout_s.yaml", + ) + p = subprocess.Popen(["serve", "run", config_file_name]) + + # Ensure the http request is killed and failed when the deployment runs longer than + # the 0.1 request_timeout_s set in in the config yaml + wait_for_condition( + lambda: httpx.get("http://localhost:8000/app1?sleep_s=0.11").status_code + == 408, + ) + + # Ensure the http request returned the correct response when the deployment runs + # shorter than the 0.1 request_timeout_s set up in the config yaml + wait_for_condition( + lambda: httpx.get("http://localhost:8000/app1?sleep_s=0.09").text + == "Task Succeeded!", + ) + + p.send_signal(signal.SIGINT) + p.wait() + + @pytest.mark.skipif( + sys.platform == "win32", reason="File path incorrect on Windows." + ) + def test_run_reload_basic(self, ray_start_stop, tmp_path): + """Test `serve run` with reload.""" + + code_template = """ +from ray import serve + +@serve.deployment +class MessageDeployment: + def __init__(self, msg): + {invalid_suffix} + self.msg = msg + + def __call__(self): + return self.msg + + +msg_app = MessageDeployment.bind("Hello {message}!") + """ + + def write_file(message: str, invalid_suffix: str = ""): + with open(os.path.join(tmp_path, "reload_serve.py"), "w") as f: + code = code_template.format( + invalid_suffix=invalid_suffix, message=message + ) + print(f"Writing updated code:\n{code}") + f.write(code) + f.flush() + + write_file("World") + + p = subprocess.Popen( + [ + "serve", + "run", + "--address=auto", + "--app-dir", + tmp_path, + "--reload", + "reload_serve:msg_app", + ] + ) + wait_for_condition(lambda: ping_endpoint("") == "Hello World!", timeout=10) + + # Sleep to ensure the `serve run` command is in the file watching loop when we + # write the change, else it won't be picked up. + time.sleep(5) + + # Write the file: an update should be auto-triggered. + write_file("Updated") + wait_for_condition(lambda: ping_endpoint("") == "Hello Updated!", timeout=10) + + # Ensure a bad change doesn't shut down serve and serve reports deploy failed. + write_file(message="update1", invalid_suffix="foobar") + wait_for_condition( + condition_predictor=check_app_status, + app_name="default", + expected_status="DEPLOY_FAILED", + ) + + # Ensure the following reload happens as expected. + write_file("Updated2") + wait_for_condition(lambda: ping_endpoint("") == "Hello Updated2!", timeout=10) + + p.send_signal(signal.SIGINT) + p.wait() + assert ping_endpoint("") == CONNECTION_ERROR_MSG + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) From b23eb7b0c58c9d94e962804416d1c1251a7dac41 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 3 Jul 2025 10:24:10 -0700 Subject: [PATCH 0035/1566] disable uvicorn message logger middleware (#54309) with message logger middleware ``` Requests per second: 387.81 [#/sec] (mean) Time per request: 257.855 [ms] (mean) ``` without message logger middleware ``` Requests per second: 400.14 [#/sec] (mean) Time per request: 249.915 [ms] (mean) ``` repro script ```python from ray import serve import asyncio import logging from fastapi import FastAPI logger = logging.getLogger(__name__) @serve.deployment(max_ongoing_requests=1000) class MyDeployment: def __call__(self): return "Hello, world!" app = MyDeployment.bind() ``` machine `m6a.2xlarge` load test command `ab -n 2000 -c 100 "http://127.0.0.1:8000/"` same result using locust image --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index 6de7a2621860..125c17e7f6a2 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -718,6 +718,11 @@ async def start_asgi_http_server( f"Failed to bind to address '{http_options.host}:{http_options.port}'." ) from e + # Even though we set log_level=None, uvicorn adds MessageLoggerMiddleware + # if log level for uvicorn.error is not set. And MessageLoggerMiddleware + # has no use to us. + logging.getLogger("uvicorn.error").level = logging.CRITICAL + # NOTE: We have to use lower level uvicorn Config and Server # class because we want to run the server as a coroutine. The only # alternative is to call uvicorn.run which is blocking. From 25999713afced10aa7ce877d06248e6cc4ab1750 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 3 Jul 2025 13:05:28 -0700 Subject: [PATCH 0036/1566] [data] adapt dask on ray to the new dask task class (#54108) "Dask on Ray" (DoR) is broken in dask==2024.11.0 or later as reported in https://github.com/ray-project/ray/issues/48689 because Dask removed a private function in https://github.com/dask/dask/pull/11378 that DoR has been relying on. Not only https://github.com/dask/dask/pull/11378, Dask has migrated their task data structure to a new format (the high-level motivation is described in https://github.com/dask/dask/issues/9969). Since this migration spans across a series of changes between 2024.11.0 and 2025.1.0, it's not realistic to copy what's been removed and paste them in Ray. This change adapts Dask on Ray to the change to keep its functionality. The change is compatible only with `dask>=2024.11.0,<2025.1.0` because Dask made another major change in 2025.1.0, breaking the shuffle optimization introduced in https://github.com/ray-project/ray/pull/13951 Signed-off-by: Lonnie Liu Co-authored-by: Hiromu Hota Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 4 +- .buildkite/data.rayci.yml | 8 +- .../doc_code/dask_on_ray_persist_example.py | 17 ++-- python/ray/data/tests/test_ecosystem_dask.py | 6 ++ python/ray/util/dask/__init__.py | 12 +++ python/ray/util/dask/common.py | 2 +- python/ray/util/dask/optimizations.py | 45 +++------ python/ray/util/dask/scheduler.py | 96 ++++++++++++++----- python/ray/util/dask/scheduler_utils.py | 27 ++++-- .../ray/util/dask/tests/test_dask_callback.py | 4 - .../util/dask/tests/test_dask_multi_node.py | 27 +++++- .../util/dask/tests/test_dask_optimization.py | 24 +++-- .../util/dask/tests/test_dask_scheduler.py | 8 +- python/requirements/ml/data-requirements.txt | 9 +- python/requirements/test-requirements.txt | 5 +- python/requirements_compiled.txt | 50 ++++------ 16 files changed, 213 insertions(+), 131 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 061519ce7aac..c820567a46ec 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -181,9 +181,9 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- python/ray/util/dask/... core --install-mask all-ray-libraries - --build-name datalbuild + --build-name databuild-py3.12 depends_on: - - datalbuild + - databuild-multipy - forge - label: ":ray: core: modin tests" diff --git a/.buildkite/data.rayci.yml b/.buildkite/data.rayci.yml index b83e37faead5..01512dce3722 100644 --- a/.buildkite/data.rayci.yml +++ b/.buildkite/data.rayci.yml @@ -152,9 +152,9 @@ steps: instance_type: medium commands: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/data/... data - --build-name datalbuild + --build-name databuild-py3.12 --only-tags dask - depends_on: datalbuild + depends_on: databuild-multipy - label: ":database: data: TFRecords (tfx-bsl) tests" tags: @@ -193,10 +193,10 @@ steps: instance_type: medium commands: - bazel run //ci/ray_ci:test_in_docker -- //doc/... data - --build-name datalbuild + --build-name databuild-py3.12 --only-tags dask --parallelism-per-worker 2 - depends_on: datalbuild + depends_on: databuild-multipy - label: ":database: data: doc gpu tests" tags: diff --git a/doc/source/ray-more-libs/doc_code/dask_on_ray_persist_example.py b/doc/source/ray-more-libs/doc_code/dask_on_ray_persist_example.py index 0a21f9da282d..e2950d241be1 100644 --- a/doc/source/ray-more-libs/doc_code/dask_on_ray_persist_example.py +++ b/doc/source/ray-more-libs/doc_code/dask_on_ray_persist_example.py @@ -12,10 +12,12 @@ enable_dask_on_ray() d_arr = da.ones(100) -print(dask.base.collections_to_dsk([d_arr])) -# {('ones-c345e6f8436ff9bcd68ddf25287d27f3', -# 0): (functools.partial(, -# dtype=dtype('float64')), (5,))} + +# Print the internal Dask graph. Replace this with `print(dask.base.collections_to_dsk([d_arr]))` when dask>=2024.11.0,<2025.4.0. +print(dask.base.collections_to_expr([d_arr]).dask) +# {('ones_like-5902a58f37d3b639948dee893f5c4f4a', 0): +# } # This submits all underlying Ray tasks to the cluster and returns # a Dask array with the Ray futures inlined. @@ -23,9 +25,10 @@ # Notice that the Ray ObjectRef is inlined. The dask.ones() task has # been submitted to and is running on the Ray cluster. -dask.base.collections_to_dsk([d_arr_p]) -# {('ones-c345e6f8436ff9bcd68ddf25287d27f3', -# 0): ObjectRef(8b4e50dc1ddac855ffffffffffffffffffffffff0100000001000000)} +# Replace this in a similar way when dask>=2024.11.0,<2025.4.0. +print(dask.base.collections_to_expr([d_arr_p]).dask) +# {('ones_like-5902a58f37d3b639948dee893f5c4f4a', 0): +# DataNode(ObjectRef(2c329aa28fcae64affffffffffffffffffffffff2c00000001000000))} # Future computations on this persisted Dask Array will be fast since we # already started computing d_arr_p in the background. diff --git a/python/ray/data/tests/test_ecosystem_dask.py b/python/ray/data/tests/test_ecosystem_dask.py index 101fe5844c23..755f930682d8 100644 --- a/python/ray/data/tests/test_ecosystem_dask.py +++ b/python/ray/data/tests/test_ecosystem_dask.py @@ -54,6 +54,12 @@ def test_to_dask_simple(ray_start_regular_shared): @pytest.mark.parametrize("ds_format", ["pandas", "arrow"]) def test_to_dask(ray_start_regular_shared, ds_format): + # Since 2023.7.1, Dask DataFrame automatically converts text data using object data types to string[pyarrow] + # For the purpose of this test, we need to disable this behavior. + import dask + + dask.config.set({"dataframe.convert-string": False}) + from ray.util.dask import ray_dask_get df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) diff --git a/python/ray/util/dask/__init__.py b/python/ray/util/dask/__init__.py index e13d0095f8f8..3376b5f8eaca 100644 --- a/python/ray/util/dask/__init__.py +++ b/python/ray/util/dask/__init__.py @@ -1,4 +1,16 @@ import dask +from packaging.version import Version + +# Version(dask.__version__) becomes "0" during doc builds. +if Version(dask.__version__) != Version("0") and Version(dask.__version__) < Version( + "2024.11.0" +): + # Dask on Ray doesn't work if Dask version is less than 2024.11.0. + raise ImportError( + "Dask on Ray requires Dask version 2024.11.0 or later. " + "Please upgrade your Dask installation." + ) + from .scheduler import ( ray_dask_get, ray_dask_get_sync, diff --git a/python/ray/util/dask/common.py b/python/ray/util/dask/common.py index 74c793b32e1e..b041b7ff4676 100644 --- a/python/ray/util/dask/common.py +++ b/python/ray/util/dask/common.py @@ -5,7 +5,7 @@ import ray -from dask.base import quote +from dask.core import quote from dask.core import get as get_sync from dask.utils import apply diff --git a/python/ray/util/dask/optimizations.py b/python/ray/util/dask/optimizations.py index 1f1f910f07b1..096a6096d48f 100644 --- a/python/ray/util/dask/optimizations.py +++ b/python/ray/util/dask/optimizations.py @@ -1,21 +1,27 @@ -import operator import warnings import dask from dask import core -from dask.core import istask from dask.dataframe.core import _concat -from dask.dataframe.optimize import optimize -from dask.dataframe.shuffle import shuffle_group from dask.highlevelgraph import HighLevelGraph from .scheduler import MultipleReturnFunc, multiple_return_get try: from dask.dataframe.shuffle import SimpleShuffleLayer + from dask.dataframe.optimize import optimize + from dask.dataframe.shuffle import shuffle_group except ImportError: # SimpleShuffleLayer doesn't exist in this version of Dask. + # This is the case for dask>=2025.1.0. SimpleShuffleLayer = None +try: + import dask_expr # noqa: F401 + + SimpleShuffleLayer = None +except ImportError: + pass + if SimpleShuffleLayer is not None: @@ -137,31 +143,8 @@ def dataframe_optimize(dsk, keys, **kwargs): def dataframe_optimize(dsk, keys, **kwargs): warnings.warn( "Custom dataframe shuffle optimization only works on " - "dask>=2020.12.0, you are on version " - f"{dask.__version__}, please upgrade Dask." - "Falling back to default dataframe optimizer." + "dask>=2024.11.0,<2025.1.0, you are on version " + f"{dask.__version__}." + "Doing no additional optimization aside from the default one." ) - return optimize(dsk, keys, **kwargs) - - -# Stale approaches below. - - -def fuse_splits_into_multiple_return(dsk, keys): - if not isinstance(dsk, HighLevelGraph): - dsk = HighLevelGraph.from_collections(id(dsk), dsk, dependencies=()) - else: - dsk = dsk.copy() - dependencies = dsk.dependencies.copy() - for k, v in dsk.items(): - if istask(v) and v[0] == shuffle_group: - task_deps = dependencies[k] - # Only rewrite shuffle group split if all downstream dependencies - # are splits. - if all( - istask(dsk[dep]) and dsk[dep][0] == operator.getitem - for dep in task_deps - ): - for dep in task_deps: - # Rewrite split - pass + return None diff --git a/python/ray/util/dask/scheduler.py b/python/ray/util/dask/scheduler.py index f17bf4bcc7f3..daa4449e6de3 100644 --- a/python/ray/util/dask/scheduler.py +++ b/python/ray/util/dask/scheduler.py @@ -1,15 +1,26 @@ +import warnings + import atexit import threading import time from collections import defaultdict from collections import OrderedDict +from collections.abc import Mapping from dataclasses import dataclass from multiprocessing.pool import ThreadPool from pprint import pprint from typing import Optional import dask -from dask.core import istask, ishashable, _execute_task +from dask.core import istask, ishashable + +try: + from dask._task_spec import Task, Alias, DataNode, TaskRef, convert_legacy_graph +except ImportError: + warnings.warn( + "Dask on Ray is available only on dask>=2024.11.0, " + f"you are on version {dask.__version__}." + ) from dask.system import CPU_COUNT from dask.threaded import pack_exception, _thread_get_id @@ -147,13 +158,18 @@ def ray_dask_get(dsk, keys, **kwargs): if "resources" in kwargs: raise ValueError(TOP_LEVEL_RESOURCES_ERR_MSG) ray_remote_args = kwargs.pop("ray_remote_args", {}) - try: - annotations = dask.config.get("annotations") - except KeyError: - annotations = {} + annotations = dask.get_annotations() if "resources" in annotations: raise ValueError(TOP_LEVEL_RESOURCES_ERR_MSG) + # Take out the dask graph if it is an Expr for dask>=2025.4.0. + if not isinstance(dsk, Mapping): + if hasattr(dsk, "_optimized_dsk"): + # For Expr with this property + dsk = dsk._optimized_dsk + else: + # For any other Expr + dsk = dsk.__dask_graph__() scoped_ray_remote_args = _build_key_scoped_ray_remote_args( dsk, annotations, ray_remote_args ) @@ -168,6 +184,8 @@ def ray_dask_get(dsk, keys, **kwargs): ray_postsubmit_all_cbs, ray_finish_cbs, ) = unpack_ray_callbacks(ray_callbacks) + # Make sure the graph is in the new format + dsk = convert_legacy_graph(dsk) # NOTE: We hijack Dask's `get_async` function, injecting a different # task executor. object_refs = get_async( @@ -362,13 +380,23 @@ def _rayify_task( if alternate_return is not None: return alternate_return - func, args = task[0], task[1:] - if func is multiple_return_get: - return _execute_task(task, deps) + if isinstance(task, Alias): + target = task.target + if isinstance(target, TaskRef): + # for 2024.12.0 + return deps[target.key] + else: + # for 2024.12.1+ + return deps[target] + elif isinstance(task, Task): + func = task.func + else: + raise ValueError("Invalid task type: %s" % type(task)) + # If the function's arguments contain nested object references, we must # unpack said object references into a flat set of arguments so that # Ray properly tracks the object dependencies between Ray tasks. - arg_object_refs, repack = unpack_object_refs(args, deps) + arg_object_refs, repack = unpack_object_refs(deps) # Submit the task using a wrapper function. object_refs = dask_task_wrapper.options( name=f"dask:{key!s}", @@ -377,7 +405,7 @@ def _rayify_task( ), **ray_remote_args, ).remote( - func, + task, repack, key, ray_pretask_cbs, @@ -399,23 +427,23 @@ def _rayify_task( @ray.remote -def dask_task_wrapper(func, repack, key, ray_pretask_cbs, ray_posttask_cbs, *args): +def dask_task_wrapper( + task, repack, key, ray_pretask_cbs, ray_posttask_cbs, *arg_object_refs +): """ A Ray remote function acting as a Dask task wrapper. This function will - repackage the given flat `args` into its original data structures using - `repack`, execute any Dask subtasks within the repackaged arguments - (inlined by Dask's optimization pass), and then pass the concrete task - arguments to the provide Dask task function, `func`. + repackage the given `arg_object_refs` into its original `deps` using + `repack`, and then pass it to the provided Dask Task object , `task`. Args: - func: The Dask task function to execute. + task: The Dask Task class object to execute. repack: A function that repackages the provided args into the original (possibly nested) Python objects. key: The Dask key for this task. ray_pretask_cbs: Pre-task execution callbacks. ray_posttask_cbs: Post-task execution callback. - *args (ObjectRef): Ray object references representing the Dask task's - arguments. + *arg_object_refs (ObjectRef): Ray object references representing the dependencies' + results. Returns: The output of the Dask task. In the context of Ray, a @@ -424,13 +452,31 @@ def dask_task_wrapper(func, repack, key, ray_pretask_cbs, ray_posttask_cbs, *arg """ if ray_pretask_cbs is not None: pre_states = [ - cb(key, args) if cb is not None else None for cb in ray_pretask_cbs + cb(key, arg_object_refs) if cb is not None else None + for cb in ray_pretask_cbs ] - repacked_args, repacked_deps = repack(args) - # Recursively execute Dask-inlined tasks. - actual_args = [_execute_task(a, repacked_deps) for a in repacked_args] - # Execute the actual underlying Dask task. - result = func(*actual_args) + (repacked_deps,) = repack(arg_object_refs) + # De-reference the potentially nested arguments recursively. + def _dereference_args(x): + if isinstance(x, Task): + x.args = _dereference_args(x.args) + return x + elif isinstance(x, Mapping): + return {k: _dereference_args(v) for k, v in x.items()} + elif isinstance(x, tuple): + return tuple(_dereference_args(x) for x in x) + elif isinstance(x, ray.ObjectRef): + return ray.get(x) + elif isinstance(x, DataNode): + if isinstance(x.value, ray.ObjectRef): + value = ray.get(x.value) + return DataNode(key=x.key, value=value) + return x + else: + return x + + task = _dereference_args(task) + result = task(repacked_deps) if ray_posttask_cbs is not None: for cb, pre_state in zip(ray_posttask_cbs, pre_states): @@ -548,6 +594,8 @@ def ray_dask_get_sync(dsk, keys, **kwargs): ray_postsubmit_all_cbs, ray_finish_cbs, ) = unpack_ray_callbacks(ray_callbacks) + # Make sure the graph is in the new format + dsk = convert_legacy_graph(dsk) # NOTE: We hijack Dask's `get_async` function, injecting a different # task executor. object_refs = get_async( diff --git a/python/ray/util/dask/scheduler_utils.py b/python/ray/util/dask/scheduler_utils.py index efb7b18bd911..bb7feca4ae8b 100644 --- a/python/ray/util/dask/scheduler_utils.py +++ b/python/ray/util/dask/scheduler_utils.py @@ -4,11 +4,21 @@ """ import os +import warnings from queue import Queue, Empty +import dask from dask import config + +try: + from dask._task_spec import DataNode, DependenciesMapping +except ImportError: + warnings.warn( + "Dask on Ray is available only on dask>=2024.11.0, " + f"you are on version {dask.__version__}." + ) from dask.callbacks import local_callbacks, unpack_callbacks -from dask.core import _execute_task, flatten, get_dependencies, has_tasks, reverse_dict +from dask.core import flatten, get_dependencies, reverse_dict from dask.order import order if os.name == "nt": @@ -56,17 +66,18 @@ def start_state_from_dask(dsk, cache=None, sortkey=None): cache = config.get("cache", None) if cache is None: cache = dict() + data_keys = set() for k, v in dsk.items(): - if not has_tasks(dsk, v): - cache[k] = v + if isinstance(v, DataNode): + cache[k] = v() data_keys.add(k) dsk2 = dsk.copy() dsk2.update(cache) - dependencies = {k: get_dependencies(dsk2, k) for k in dsk} - waiting = {k: v.copy() for k, v in dependencies.items() if k not in data_keys} + dependencies = DependenciesMapping(dsk) + waiting = {k: set(v) for k, v in dependencies.items() if k not in data_keys} dependents = reverse_dict(dependencies) for a in cache: @@ -102,7 +113,7 @@ def execute_task(key, task_info, dumps, loads, get_id, pack_exception): """ try: task, data = loads(task_info) - result = _execute_task(task, data) + result = task(data) id = get_id() result = dumps((result, id)) failed = False @@ -220,7 +231,7 @@ def get_async( callbacks=None, dumps=identity, loads=identity, - **kwargs + **kwargs, ): """Asynchronous get function This is a general version of various asynchronous schedulers for dask. It @@ -339,7 +350,7 @@ def fire_task(): for dep in get_dependencies(dsk, key) } task = dsk[key] - _execute_task(task, data) # Re-execute locally + task(data) # Re-execute locally else: raise_exception(exc, tb) res, worker_id = loads(res_info) diff --git a/python/ray/util/dask/tests/test_dask_callback.py b/python/ray/util/dask/tests/test_dask_callback.py index b31f8f9c805d..99c59d791b33 100644 --- a/python/ray/util/dask/tests/test_dask_callback.py +++ b/python/ray/util/dask/tests/test_dask_callback.py @@ -8,10 +8,6 @@ from ray.tests.conftest import * # noqa: F403, F401 from ray.util.dask import ray_dask_get, RayDaskCallback -pytestmark = pytest.mark.skipif( - sys.version_info >= (3, 12), reason="Skip dask tests for Python version 3.12+" -) - @dask.delayed def add(x, y): diff --git a/python/ray/util/dask/tests/test_dask_multi_node.py b/python/ray/util/dask/tests/test_dask_multi_node.py index 9bec85ce6d24..a3dc5f7effa0 100644 --- a/python/ray/util/dask/tests/test_dask_multi_node.py +++ b/python/ray/util/dask/tests/test_dask_multi_node.py @@ -2,15 +2,14 @@ import dask import pytest +import dask.dataframe as dd +import numpy as np +import pandas as pd import ray from ray.tests.conftest import * # noqa: F403, F401 from ray.util.dask import enable_dask_on_ray -pytestmark = pytest.mark.skipif( - sys.version_info >= (3, 12), reason="Skip dask tests for Python version 3.12+" -) - @pytest.fixture def ray_enable_dask_on_ray(): @@ -67,6 +66,26 @@ def get_node_id(): c = dask.delayed(get_node_id) result = c().compute(resources={"pin": 0.01}) + def get_node_id(row): + return pd.Series(ray._private.worker.global_worker.node.unique_id) + + # Test annotations on compute. + df = dd.from_pandas( + pd.DataFrame(np.random.randint(0, 2, size=(2, 2)), columns=["age", "grade"]), + npartitions=2, + ) + c = df.apply(get_node_id, axis=1, meta={0: str}) + with dask.annotate(ray_remote_args=dict(num_gpus=1, resources={"pin": 0.01})): + result = c.compute(optimize_graph=False) + assert result[0].iloc[0] == pinned_node.unique_id + + # Test compute global Ray remote args. + c = df.apply(get_node_id, axis=1, meta={0: str}) + result = c.compute( + ray_remote_args={"resources": {"pin": 0.01}}, optimize_graph=False + ) + assert result[0].iloc[0] == pinned_node.unique_id + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/util/dask/tests/test_dask_optimization.py b/python/ray/util/dask/tests/test_dask_optimization.py index 52e86b9c36d3..858f0009a363 100644 --- a/python/ray/util/dask/tests/test_dask_optimization.py +++ b/python/ray/util/dask/tests/test_dask_optimization.py @@ -2,21 +2,33 @@ import dask import dask.dataframe as dd -from dask.dataframe.shuffle import SimpleShuffleLayer from unittest import mock import numpy as np import pandas as pd import pytest +from packaging.version import Version from ray.tests.conftest import * # noqa from ray.util.dask import dataframe_optimize -from ray.util.dask.optimizations import ( - rewrite_simple_shuffle_layer, - MultipleReturnSimpleShuffleLayer, -) + +try: + import dask_expr # noqa: F401 + + DASK_EXPR_INSTALLED = True +except ImportError: + DASK_EXPR_INSTALLED = False + pass + +if Version(dask.__version__) < Version("2025.1") and not DASK_EXPR_INSTALLED: + from dask.dataframe.shuffle import SimpleShuffleLayer + from ray.util.dask.optimizations import ( + rewrite_simple_shuffle_layer, + MultipleReturnSimpleShuffleLayer, + ) pytestmark = pytest.mark.skipif( - sys.version_info >= (3, 12), reason="Skip dask tests for Python version 3.12+" + Version(dask.__version__) >= Version("2025.1") or DASK_EXPR_INSTALLED, + reason="Skip dask tests for Dask 2025.1+", ) diff --git a/python/ray/util/dask/tests/test_dask_scheduler.py b/python/ray/util/dask/tests/test_dask_scheduler.py index cda255a08e6e..2a4301e8fbd0 100644 --- a/python/ray/util/dask/tests/test_dask_scheduler.py +++ b/python/ray/util/dask/tests/test_dask_scheduler.py @@ -13,10 +13,6 @@ from ray.util.dask import disable_dask_on_ray, enable_dask_on_ray, ray_dask_get from ray.util.dask.callbacks import ProgressBarCallback -pytestmark = pytest.mark.skipif( - sys.version_info >= (3, 12), reason="Skip dask tests for Python version 3.12+" -) - @pytest.fixture def ray_enable_dask_on_ray(): @@ -90,10 +86,10 @@ def test_sort_with_progress_bar(ray_start_regular_shared): sorted_without_pb = None with ProgressBarCallback(): sorted_with_pb = df.set_index( - ["age"], shuffle="tasks", max_branch=npartitions + ["age"], shuffle_method="tasks", max_branch=npartitions ).compute(scheduler=ray_dask_get, _ray_enable_progress_bar=True) sorted_without_pb = df.set_index( - ["age"], shuffle="tasks", max_branch=npartitions + ["age"], shuffle_method="tasks", max_branch=npartitions ).compute(scheduler=ray_dask_get) assert sorted_with_pb.equals(sorted_without_pb) diff --git a/python/requirements/ml/data-requirements.txt b/python/requirements/ml/data-requirements.txt index 042f020dc4bf..14ec80e7d00c 100644 --- a/python/requirements/ml/data-requirements.txt +++ b/python/requirements/ml/data-requirements.txt @@ -2,13 +2,14 @@ # https://github.com/ray-project/ray/pull/29448#discussion_r1006256498 getdaft==0.4.3 -dask[complete]==2022.10.2; python_version < '3.12' -distributed==2022.10.2; python_version < '3.12' -dask[complete]==2024.6.0; python_version >= '3.12' -distributed==2024.6.0; python_version >= '3.12' +dask[complete]==2023.6.1; python_version < '3.12' +distributed==2023.6.1; python_version < '3.12' +dask[complete]==2025.5.0; python_version >= '3.12' +distributed==2025.5.0; python_version >= '3.12' aioboto3==11.2.0 crc32c==2.3 flask_cors +bokeh==2.4.3; python_version < '3.12' modin==0.22.2; python_version < '3.12' pandas==1.5.3; python_version < '3.12' modin==0.31.0; python_version >= '3.12' diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 39dfd16e499a..eb2fa0b2bcb2 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -12,7 +12,10 @@ msrestazure==0.6.4 beautifulsoup4==4.11.1 boto3==1.26.76 # Todo: investigate if we can get rid of this and exchange for ray.cloudpickle -cloudpickle==2.2.0 +cloudpickle==2.2.0 ; python_version < "3.12" +cloudpickle==3.0.0 ; python_version >= "3.12" +tornado==6.1 ; python_version < "3.12" +tornado==6.2.0 ; python_version >= "3.12" cython==0.29.37 fastapi>=0.115.12 feather-format==0.4.1 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index a37c963ef590..fc55e870d692 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -201,8 +201,10 @@ black==22.10.0 # via -r python/requirements/lint-requirements.txt bleach==6.1.0 # via nbconvert -bokeh==2.4.3 - # via dask +bokeh==2.4.3 ; python_version < "3.12" + # via + # -r python/requirements/ml/data-requirements.txt + # dask boltons==21.0.0 # via # face @@ -294,7 +296,7 @@ click-option-group==0.5.6 # via semgrep clickhouse-connect==0.8.10 # via -r python/requirements/ml/data-test-requirements.txt -cloudpickle==2.2.0 +cloudpickle==2.2.0 ; python_version < "3.12" # via # -r python/requirements/test-requirements.txt # dask @@ -372,7 +374,7 @@ cython==0.29.37 # via # -r python/requirements/test-requirements.txt # gpy -dask==2022.10.2 ; python_version < "3.12" +dask==2023.6.1 ; python_version < "3.12" # via # -r python/requirements/ml/data-requirements.txt # distributed @@ -383,7 +385,6 @@ datasets==2.19.1 # -r python/requirements/ml/data-test-requirements.txt # -r python/requirements/ml/train-requirements.txt # evaluate - # mosaicml debugpy==1.8.0 # via ipykernel decorator==5.1.1 @@ -418,7 +419,7 @@ dill==0.3.7 # multiprocess distlib==0.3.7 # via virtualenv -distributed==2022.10.2 ; python_version < "3.12" +distributed==2023.6.1 ; python_version < "3.12" # via # -r python/requirements/ml/data-requirements.txt # dask @@ -568,7 +569,7 @@ fugue-sql-antlr==0.2.0 # via fugue future==1.0.0 # via -r python/requirements/ml/tune-requirements.txt -gast==0.4.0 +gast==0.6.0 # via # tensorflow # tensorflow-probability @@ -783,6 +784,7 @@ imagesize==1.4.1 importlib-metadata==6.11.0 # via # -r python/requirements/test-requirements.txt + # dask # jupyter-cache # mlflow-skinny # myst-nb @@ -968,7 +970,7 @@ lazy-loader==0.4 # via scikit-image lazy-object-proxy==1.9.0 # via openapi-spec-validator -libclang==16.0.6 +libclang==18.1.1 # via tensorflow lightgbm==4.6.0 # via -r python/requirements/ml/core-requirements.txt @@ -998,6 +1000,7 @@ lz4==4.3.3 # via # -r python/requirements.txt # clickhouse-connect + # dask mako==1.3.0 # via alembic markdown==3.5.1 @@ -1035,8 +1038,6 @@ mdit-py-plugins==0.3.5 # myst-parser mdurl==0.1.2 # via markdown-it-py -medpy==0.4.0 - # via mosaicml memray==1.10.0 ; platform_system != "Windows" and sys_platform != "darwin" and platform_machine != "aarch64" # via # -r python/requirements.txt @@ -1059,15 +1060,13 @@ mmh3==4.1.0 # via pyiceberg modin==0.22.2 ; python_version < "3.12" # via -r python/requirements/ml/data-requirements.txt -monai==1.3.2 - # via mosaicml monotonic==1.6 # via # gsutil # segment-analytics-python -more-itertools==10.1.0 +more-itertools==10.7.0 # via configspace -mosaicml==0.2.4 ; python_version < "3.12" +mosaicml==0.3.1 ; python_version < "3.12" # via -r python/requirements/ml/train-test-requirements.txt moto==4.2.12 # via -r python/requirements/test-requirements.txt @@ -1224,13 +1223,11 @@ numpy==1.26.4 # labmaze # lightgbm # matplotlib - # medpy # minigrid # ml-dtypes # mlagents-envs # mlflow # modin - # monai # moviepy # msgpack-numpy # mujoco @@ -1578,6 +1575,7 @@ py4j==0.10.9.7 pyarrow==14.0.2 # via # -r python/requirements.txt + # dask # datasets # delta-sharing # deltalake @@ -1718,7 +1716,7 @@ pytest-asyncio==0.17.2 # pytest-aiohttp pytest-docker-tools==3.1.3 # via -r python/requirements/test-requirements.txt -pytest-fixture-config==1.7.0 +pytest-fixture-config==1.8.0 # via pytest-virtualenv pytest-forked==1.4.0 # via -r python/requirements/test-requirements.txt @@ -1909,7 +1907,7 @@ responses==0.13.4 # via # -r python/requirements/ml/data-requirements.txt # moto -restrictedpython==7.1 +restrictedpython==8.0 # via aim retry-decorator==1.1.1 # via @@ -1970,7 +1968,6 @@ scikit-learn==1.3.2 # bayesian-optimization # gpytorch # mlflow - # mosaicml # pymars # torch-geometric scipy==1.11.4 @@ -1986,7 +1983,6 @@ scipy==1.11.4 # hyperopt # lightgbm # linear-operator - # medpy # mlflow # open-spiel # paramz @@ -2032,8 +2028,6 @@ shimmy==2.0.0 # via -r python/requirements/ml/rllib-test-requirements.txt shortuuid==1.0.1 # via -r python/requirements/ml/tune-test-requirements.txt -simpleitk==2.3.1 - # via medpy simplejson==3.19.2 # via comet-ml six==1.16.0 @@ -2253,7 +2247,6 @@ torch==2.3.0 # deepspeed # fairscale # linear-operator - # monai # mosaicml # pyro-ppl # pytorch-lightning @@ -2267,7 +2260,7 @@ torch-cluster==1.6.3 # via -r python/requirements/ml/dl-cpu-requirements.txt torch-geometric==2.5.3 # via -r python/requirements/ml/dl-cpu-requirements.txt -torch-optimizer==0.3.0 +torch-optimizer==0.1.0 # via mosaicml torch-scatter==2.1.2 # via -r python/requirements/ml/dl-cpu-requirements.txt @@ -2287,8 +2280,9 @@ torchvision==0.18.0 # -r python/requirements/ml/dl-cpu-requirements.txt # mosaicml # timm -tornado==6.1 +tornado==6.1 ; python_version < "3.12" # via + # -r python/requirements/test-requirements.txt # bokeh # distributed # ipykernel @@ -2342,9 +2336,7 @@ traitlets==5.14.3 # nbformat # notebook transformers==4.36.2 - # via - # -r python/requirements/ml/core-requirements.txt - # mosaicml + # via -r python/requirements/ml/core-requirements.txt triad==0.9.8 # via # adagio @@ -2431,7 +2423,7 @@ uvicorn==0.22.0 # aim # gradio # mlflow-skinny -uvloop==0.19.0 +uvloop==0.21.0 # via pymars # via # nsx-policy-python-sdk From 86316fdd3013a045f77361aaf900e880b453ae04 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 3 Jul 2025 15:58:07 -0500 Subject: [PATCH 0037/1566] [core] Use `SignalActor` in `test_hybrid_policy_threshold` (#54312) The semaphore is clever, but using signal instead for consistency with other tests. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_scheduling.py | 24 +++++++++++------------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/python/ray/tests/test_scheduling.py b/python/ray/tests/test_scheduling.py index be29cc1fae80..6abd3bdb0893 100644 --- a/python/ray/tests/test_scheduling.py +++ b/python/ray/tests/test_scheduling.py @@ -17,7 +17,7 @@ PlacementGroupSchedulingStrategy, NodeAffinitySchedulingStrategy, ) -from ray._common.test_utils import SignalActor, Semaphore, wait_for_condition +from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( object_memory_usage, get_metric_check_condition, @@ -78,12 +78,8 @@ def test_hybrid_policy_threshold(ray_start_cluster): cluster.wait_for_nodes() ray.init(address=cluster.address) - # `block_task` ensures that scheduled tasks do not return until all are - # running. - block_task = Semaphore.remote(0) - # `block_driver` ensures that the driver does not allow tasks to continue - # until all are running. - block_driver = Semaphore.remote(0) + # Use a SignalActor to ensure that the batches of tasks run in parallel. + signal = SignalActor.remote() # Add the `memory` resource because the CPU will be released when the task is # blocked calling `ray.get()`. @@ -91,24 +87,26 @@ def test_hybrid_policy_threshold(ray_start_cluster): # See: https://github.com/ray-project/ray/pull/54271. @ray.remote(num_cpus=1, memory=1) def get_node_id() -> str: - ray.get(block_driver.release.remote()) - ray.get(block_task.acquire.remote()) + ray.get(signal.wait.remote()) return ray.get_runtime_context().get_node_id() # Submit 1 * PER_NODE_HYBRID_THRESHOLD tasks. # They should all be packed on the local node. refs = [get_node_id.remote() for _ in range(PER_NODE_HYBRID_THRESHOLD)] - ray.get([block_driver.acquire.remote() for _ in refs], timeout=20) - ray.get([block_task.release.remote() for _ in refs], timeout=20) + wait_for_condition(lambda: ray.get(signal.cur_num_waiters.remote()) == len(refs)) + ray.get(signal.send.remote()) nodes = ray.get(refs, timeout=20) assert len(set(nodes)) == 1 + # Clear the signal between tests. + ray.get(signal.send.remote(clear=True)) + # Submit 2 * PER_NODE_HYBRID_THRESHOLD tasks. # The first PER_NODE_HYBRID_THRESHOLD tasks should be packed on the local node, then # the second PER_NODE_HYBRID_THRESHOLD tasks should be packed on the remote node. refs = [get_node_id.remote() for _ in range(int(PER_NODE_HYBRID_THRESHOLD * 2))] - ray.get([block_driver.acquire.remote() for _ in refs], timeout=20) - ray.get([block_task.release.remote() for _ in refs], timeout=20) + wait_for_condition(lambda: ray.get(signal.cur_num_waiters.remote()) == len(refs)) + ray.get(signal.send.remote()) counter = collections.Counter(ray.get(refs, timeout=20)) assert all(v == PER_NODE_HYBRID_THRESHOLD for v in counter.values()), counter From 8a62cfd9d7187c04ddf5a02eb144bf19aaa7f811 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 3 Jul 2025 14:08:56 -0700 Subject: [PATCH 0038/1566] [core] Skip generator reconstruction test (#54320) https://github.com/ray-project/ray/pull/53999 resulted in this test being flaky on mac. This test's purpose seems to be similar to https://github.com/ray-project/ray/blob/986115ce566fda437c5e3fcca3705c225b06f3b8/python/ray/tests/test_streaming_generator_4.py#L73 and was kind of trying to test a feature that didn't exist. But since it wasn't actually pausing the generator for backpressure, the generator would usually finish before the node removal actually happens. Now sometimes when the node removal happens before the generator finishes, we'll lose objects and go through the new path. We could also go through the new resubmission path multiple times for one node death because multiple objects from the same generator may be marked lost. Therefore, sometimes we run out of retries before getting to the third retry in the test and it fails with `ray.exceptions.RayTaskError(ObjectReconstructionFailedMaxAttemptsExceededError)` The fix to make this not flaky would be to do the follow up listed in the previous pr. > Currently, if multiple objects from the same generator are queued up to be recovered when the recovery periodical runner runs, we could resubmit for the first object and then once again queue up a resubmit for the second if argument resolution and sequence numbering lines up. Since this doesn't actually affect correctness and requires a bit of refactoring, it'll be in a follow-up PR. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../ray/tests/test_streaming_generator_2.py | 39 ++++++++----------- 1 file changed, 17 insertions(+), 22 deletions(-) diff --git a/python/ray/tests/test_streaming_generator_2.py b/python/ray/tests/test_streaming_generator_2.py index a984ff78ad58..f7cdc4d5d704 100644 --- a/python/ray/tests/test_streaming_generator_2.py +++ b/python/ray/tests/test_streaming_generator_2.py @@ -48,29 +48,24 @@ def check(): wait_for_condition(check) -@pytest.mark.parametrize("delay", [True]) -def test_reconstruction(monkeypatch, ray_start_cluster, delay): - with monkeypatch.context() as m: - if delay: - m.setenv( - "RAY_testing_asio_delay_us", - "CoreWorkerService.grpc_server." - "ReportGeneratorItemReturns=10000:1000000", - ) - cluster = ray_start_cluster - # Head node with no resources. - cluster.add_node( - num_cpus=0, - _system_config=RECONSTRUCTION_CONFIG, - enable_object_reconstruction=True, - ) - ray.init(address=cluster.address) - # Node to place the initial object. - node_to_kill = cluster.add_node(num_cpus=1, object_store_memory=10**8) - cluster.wait_for_nodes() +@pytest.mark.skip( + reason="This test is flaky on darwin as of https://github.com/ray-project/ray/pull/53999." + "See https://github.com/ray-project/ray/pull/54320 for context on when to stop skipping." +) +def test_reconstruction(ray_start_cluster): + cluster = ray_start_cluster + # Head node with no resources. + cluster.add_node( + num_cpus=0, + _system_config=RECONSTRUCTION_CONFIG, + ) + ray.init(address=cluster.address) + # Node to place the initial object. + node_to_kill = cluster.add_node(num_cpus=1, object_store_memory=10**8) + cluster.wait_for_nodes() @ray.remote(max_retries=2) - def dynamic_generator(num_returns): + def generator(num_returns): for i in range(num_returns): yield np.ones(1_000_000, dtype=np.int8) * i @@ -79,7 +74,7 @@ def fetch(x): return x[0] # Test recovery of all dynamic objects through re-execution. - gen = dynamic_generator.remote(10) + gen = generator.remote(10) refs = [] for i in range(5): From 58cd43f85c7ea07898c2b4e206c9010d58c1fa77 Mon Sep 17 00:00:00 2001 From: David Xia Date: Thu, 3 Jul 2025 17:28:12 -0400 Subject: [PATCH 0039/1566] [doc][kuberay] state `rayStartParams` is optional starting with KubeRay 1.4.0 (#53943) but that if autoscaling is used, the autoscaler image must have Ray 2.45.0 or later. closes https://github.com/ray-project/kuberay/issues/3580 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: David Xia Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Co-authored-by: Dhyey Shah Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- doc/source/cluster/kubernetes/user-guides/config.md | 6 +++++- .../kubernetes/user-guides/configuring-autoscaling.md | 6 +++++- .../user-guides/persist-kuberay-custom-resource-logs.md | 5 ++--- doc/source/cluster/kubernetes/user-guides/pod-command.md | 7 ++----- doc/source/serve/doc_code/fake_email_creator.yaml | 1 - python/ray/tests/kuberay/setup/raycluster_test.yaml | 1 - .../test_files/ray-cluster.autoscaler-template.yaml | 2 -- .../test_files/ray-cluster.autoscaler-v2-template.yaml | 2 -- 8 files changed, 14 insertions(+), 16 deletions(-) diff --git a/doc/source/cluster/kubernetes/user-guides/config.md b/doc/source/cluster/kubernetes/user-guides/config.md index 18eb3af2624e..587129a56b98 100644 --- a/doc/source/cluster/kubernetes/user-guides/config.md +++ b/doc/source/cluster/kubernetes/user-guides/config.md @@ -194,7 +194,11 @@ See [KubeRay issue #587](https://github.com/ray-project/kuberay/pull/587) for mo ## Ray Start Parameters The ``rayStartParams`` field of each group spec is a string-string map of arguments to the Ray container’s `ray start` entrypoint. For the full list of arguments, refer to -the documentation for {ref}`ray start `. We make special note of the following arguments: +the documentation for {ref}`ray start `. The RayCluster Kubernetes custom resource +Custom Resource Definition (CRD) in KubeRay versions before 1.4.0 required this field to exist, but the value could be +an empty map. As of KubeRay 1.4.0, ``rayStartParams`` is optional. + +Note the following arguments: ### dashboard-host For most use-cases, this field should be set to "0.0.0.0" for the Ray head pod. diff --git a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md index 799845542fe4..f6e9c71ed52a 100644 --- a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md +++ b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md @@ -325,6 +325,11 @@ Starting from Ray 2.41.0, the Ray Autoscaler can read resource specifications fr Earlier versions only support `rayStartParams` or resource limits, and don't recognize resource requests. ``` +```{admonition} rayStartParams is optional if you're using an autoscaler image with Ray 2.45.0 or later. +`rayStartParams` is optional with RayCluster CRD from KubeRay 1.4.0 or later but required in earlier versions. +If you omit `rayStartParams` and want to use autoscaling, the autoscaling image must have Ray 2.45.0 or later. +``` + The Ray Autoscaler reads the `rayStartParams` field or the Ray container's resource limits in the RayCluster custom resource specification to determine the Ray Pod's resource requirements. The information regarding the number of CPUs is essential for the Ray Autoscaler to scale the cluster. Therefore, without this information, the Ray Autoscaler reports an error and fails to start. @@ -353,7 +358,6 @@ headGroupSpec: ... workerGroupSpecs: - groupName: small-group - rayStartParams: {} template: spec: containers: diff --git a/doc/source/cluster/kubernetes/user-guides/persist-kuberay-custom-resource-logs.md b/doc/source/cluster/kubernetes/user-guides/persist-kuberay-custom-resource-logs.md index bbe5c8b2bfaa..a98fb01c72ed 100644 --- a/doc/source/cluster/kubernetes/user-guides/persist-kuberay-custom-resource-logs.md +++ b/doc/source/cluster/kubernetes/user-guides/persist-kuberay-custom-resource-logs.md @@ -191,14 +191,13 @@ kind: RayCluster metadata: name: raycluster-fluentbit-sidecar-logs spec: - rayVersion: '2.9.0' + rayVersion: '2.46.0' headGroupSpec: - rayStartParams: {} template: spec: containers: - name: ray-head - image: rayproject/ray:2.9.0 + image: rayproject/ray:2.46.0 # This config is meant for demonstration purposes only. # Use larger Ray containers in production! resources: diff --git a/doc/source/cluster/kubernetes/user-guides/pod-command.md b/doc/source/cluster/kubernetes/user-guides/pod-command.md index d0dbfe2f6f58..2d0b280e4601 100644 --- a/doc/source/cluster/kubernetes/user-guides/pod-command.md +++ b/doc/source/cluster/kubernetes/user-guides/pod-command.md @@ -20,13 +20,12 @@ metadata: ... spec: headGroupSpec: - rayStartParams: {} # Pod template template: spec: containers: - name: ray-head - image: rayproject/ray:2.8.0 + image: rayproject/ray:2.46.0 # Because the annotation "ray.io/overwrite-container-cmd" is set to "true", # KubeRay will overwrite the generated container command with `command` and # `args` in the following. Hence, you need to specify the `ulimit` command @@ -72,14 +71,12 @@ Some users employ this method to set up environment variables used by `ray start ```yaml # https://github.com/ray-project/kuberay/ray-operator/config/samples/ray-cluster.head-command.yaml - rayStartParams: - ... #pod template template: spec: containers: - name: ray-head - image: rayproject/ray:2.8.0 + image: rayproject/ray:2.46.0 resources: ... ports: diff --git a/doc/source/serve/doc_code/fake_email_creator.yaml b/doc/source/serve/doc_code/fake_email_creator.yaml index 4455ad9d8265..6519df08fdb6 100644 --- a/doc/source/serve/doc_code/fake_email_creator.yaml +++ b/doc/source/serve/doc_code/fake_email_creator.yaml @@ -42,7 +42,6 @@ spec: minReplicas: 1 maxReplicas: 1 groupName: small-group - rayStartParams: {} template: spec: containers: diff --git a/python/ray/tests/kuberay/setup/raycluster_test.yaml b/python/ray/tests/kuberay/setup/raycluster_test.yaml index e8a46c78b67b..b50bc2335ea8 100644 --- a/python/ray/tests/kuberay/setup/raycluster_test.yaml +++ b/python/ray/tests/kuberay/setup/raycluster_test.yaml @@ -6,7 +6,6 @@ metadata: spec: headGroupSpec: serviceType: ClusterIP - rayStartParams: {} template: spec: containers: diff --git a/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-template.yaml b/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-template.yaml index 5392dc205606..ef4c8a427a9b 100644 --- a/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-template.yaml +++ b/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-template.yaml @@ -25,7 +25,6 @@ spec: cpu: "500m" memory: "512Mi" headGroupSpec: - rayStartParams: {} template: spec: containers: @@ -55,7 +54,6 @@ spec: minReplicas: 1 maxReplicas: 10 groupName: small-group - rayStartParams: {} template: spec: containers: diff --git a/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-v2-template.yaml b/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-v2-template.yaml index e0769266341f..ebf8d8d0d4e6 100644 --- a/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-v2-template.yaml +++ b/python/ray/tests/kuberay/test_files/ray-cluster.autoscaler-v2-template.yaml @@ -26,7 +26,6 @@ spec: cpu: "500m" memory: "512Mi" headGroupSpec: - rayStartParams: {} template: spec: containers: @@ -57,7 +56,6 @@ spec: minReplicas: 1 maxReplicas: 10 groupName: small-group - rayStartParams: {} template: spec: containers: From fe07dc92cc90c02853cc5a12239157c1df7fe125 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 3 Jul 2025 14:45:18 -0700 Subject: [PATCH 0040/1566] [core] Fix gcs register actor callback check (#53634) ## Problem This check assumes that if the actor is not in `registered_actors_` it must be in `actor_to_register_callbacks_`. https://github.com/ray-project/ray/blob/c6d7d7eaa1e4dd0fd42ba45891d8501ab14ceb44/src/ray/gcs/gcs_server/gcs_actor_manager.cc#L871-L872 This isn't true because in `DestroyActor`, the actor is always removed from `actor_to_register_callbacks_`, https://github.com/ray-project/ray/blob/c6d7d7eaa1e4dd0fd42ba45891d8501ab14ceb44/src/ray/gcs/gcs_server/gcs_actor_manager.cc#L1073 but only removed from `registered_actors_` if the actor is restartable. https://github.com/ray-project/ray/blob/c6d7d7eaa1e4dd0fd42ba45891d8501ab14ceb44/src/ray/gcs/gcs_server/gcs_actor_manager.cc#L1143-L1146 It's also erasing from `actor_to_register_callbacks_` without actually calling the callbacks, so rpc's from the core worker side could be left hanging forever. ## Fix The fix is to never erase from `actor_to_register_callbacks_` in `DestroyActor`, and to always respond to the all the queued callbacks with the appropriate status in the Put callback. The logic for which status to respond with is the same. If it's in `registered_actors_` after the table put is done the rpc should be completed with the ok status. If it's not there by the time the table put is done it, it should respond to the rpc with SchedulingCancelled. Additional changes - removed the need to pass the actor ptr into the RegisterActor callback because it was unused - removed an accessor that was only used for tests, added it to the test fixture and turned the test fixture into a friend - add logic in the accessor to read both the gRPC status and the GcsStatus see comment here https://github.com/ray-project/ray/pull/53634#issuecomment-3029076719 ### Follow ups - Fix the mess noted here https://github.com/ray-project/ray/pull/53634#issuecomment-3029076719 - There's almost surely more lurking issues here due to actor management split brain + kv operation ordering assumptions. Needs to be investigated. - The actor state transition machine here needs to be clearer, e.g. actors shouldn't be put into registered_actors_ if they're not registered yet. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_client/accessor.cc | 20 +++- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 58 ++++------ src/ray/gcs/gcs_server/gcs_actor_manager.h | 10 +- .../gcs_actor_manager_export_event_test.cc | 14 ++- .../gcs_server/test/gcs_actor_manager_test.cc | 107 +++++++++++------- 5 files changed, 120 insertions(+), 89 deletions(-) diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index e60cbcf0ba42..7bd388a3d1a3 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -326,6 +326,22 @@ Status ActorInfoAccessor::AsyncRestartActorForLineageReconstruction( return Status::OK(); } +namespace { + +// TODO(dayshah): Yes this is temporary. https://github.com/ray-project/ray/issues/54327 +Status ComputeGcsStatus(const Status &grpc_status, const rpc::GcsStatus &gcs_status) { + // If gRPC status is ok return the GCS status, otherwise return the gRPC status. + if (grpc_status.ok()) { + return gcs_status.code() == static_cast(StatusCode::OK) + ? Status::OK() + : Status(StatusCode(gcs_status.code()), gcs_status.message()); + } else { + return grpc_status; + } +} + +} // namespace + Status ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_spec, const ray::gcs::StatusCallback &callback, int64_t timeout_ms) { @@ -335,7 +351,7 @@ Status ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_ client_impl_->GetGcsRpcClient().RegisterActor( request, [callback](const Status &status, rpc::RegisterActorReply &&reply) { - callback(status); + callback(ComputeGcsStatus(status, reply.status())); }, timeout_ms); return Status::OK(); @@ -348,7 +364,7 @@ Status ActorInfoAccessor::SyncRegisterActor(const ray::TaskSpecification &task_s request.mutable_task_spec()->CopyFrom(task_spec.GetMessage()); auto status = client_impl_->GetGcsRpcClient().SyncRegisterActor( request, &reply, GetGcsTimeoutMs()); - return status; + return ComputeGcsStatus(status, reply.status()); } Status ActorInfoAccessor::AsyncKillActor(const ActorID &actor_id, diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 637dc739e4eb..646964a025af 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -404,11 +404,14 @@ void GcsActorManager::HandleRegisterActor(rpc::RegisterActorRequest request, RAY_LOG(INFO).WithField(actor_id.JobId()).WithField(actor_id) << "Registering actor"; Status status = RegisterActor( - request, - [reply, send_reply_callback, actor_id](const std::shared_ptr &actor, - const Status &status) { - RAY_LOG(INFO) << "Registered actor, job id = " << actor_id.JobId() - << ", actor id = " << actor_id; + request, [reply, send_reply_callback, actor_id](const Status &status) { + if (status.ok()) { + RAY_LOG(INFO).WithField(actor_id.JobId()).WithField(actor_id) + << "Registered actor"; + } else { + RAY_LOG(WARNING).WithField(actor_id.JobId()).WithField(actor_id) + << "Failed to register actor: " << status.ToString(); + } GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }); if (!status.ok()) { @@ -750,11 +753,8 @@ void GcsActorManager::HandleKillActorViaGcs(rpc::KillActorViaGcsRequest request, } Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &request, - RegisterActorCallback register_callback) { + std::function register_callback) { RAY_CHECK(thread_checker_.IsOnSameThread()); - // NOTE: After the abnormal recovery of the network between GCS client and GCS server or - // the GCS server is restarted, it is required to continue to register actor - // successfully. RAY_CHECK(register_callback); const auto &actor_creation_task_spec = request.task_spec().actor_creation_task_spec(); auto actor_id = ActorID::FromBinary(actor_creation_task_spec.actor_id()); @@ -772,7 +772,7 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ // 2. The GCS server flushes the actor to the storage and restarts before replying // to the GCS client. // 3. The GCS client resends the `RegisterActor` request to the GCS server. - register_callback(iter->second, Status::OK()); + register_callback(Status::OK()); } return Status::OK(); } @@ -814,7 +814,7 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ } } - actor_to_register_callbacks_[actor_id].emplace_back(register_callback); + actor_to_register_callbacks_[actor_id].push_back(std::move(register_callback)); registered_actors_.emplace(actor->GetActorID(), actor); function_manager_.AddJobReference(actor_id.JobId()); @@ -837,29 +837,32 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Put( actor_id, request.task_spec(), - {[this, actor, register_callback](Status status) { + {[this, actor](Status status) { RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( actor->GetActorID(), *actor->GetMutableActorTableData(), - {[this, actor, register_callback](Status status) { + {[this, actor](Status status) { RAY_CHECK(thread_checker_.IsOnSameThread()); // The backend storage is supposed to be reliable, so the status must be // ok. RAY_CHECK_OK(status); actor->WriteActorExportEvent(); auto registered_actor_it = registered_actors_.find(actor->GetActorID()); - auto reply_status = Status::OK(); + auto callback_iter = + actor_to_register_callbacks_.find(actor->GetActorID()); + RAY_CHECK(callback_iter != actor_to_register_callbacks_.end()); if (registered_actor_it == registered_actors_.end()) { // NOTE(sang): This logic assumes that the ordering of backend call is // guaranteed. It is currently true because we use a single TCP socket // to call the default Redis backend. If ordering is not guaranteed, we // should overwrite the actor state to DEAD to avoid race condition. RAY_LOG(INFO).WithField(actor->GetActorID()) - << "Actor is killed before dependency is prepared."; - RAY_CHECK(actor_to_register_callbacks_.find(actor->GetActorID()) == - actor_to_register_callbacks_.end()); - register_callback( - actor, Status::SchedulingCancelled("Actor creation cancelled.")); + << "Actor was killed before it was persisted in GCS Table Storage. " + "Owning worker should not try to create this actor"; + + for (auto &callback : callback_iter->second) { + callback(Status::SchedulingCancelled("Actor creation cancelled.")); + } return; } @@ -869,14 +872,10 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ // (duplicated requests are included) and remove all of them from // actor_to_register_callbacks_. // Reply to the owner to indicate that the actor has been registered. - auto iter = actor_to_register_callbacks_.find(actor->GetActorID()); - RAY_CHECK(iter != actor_to_register_callbacks_.end() && - !iter->second.empty()); - auto callbacks = std::move(iter->second); - actor_to_register_callbacks_.erase(iter); - for (auto &callback : callbacks) { - callback(actor, Status::OK()); + for (auto &callback : callback_iter->second) { + callback(Status::OK()); } + actor_to_register_callbacks_.erase(callback_iter); }, io_context_})); }, @@ -1071,7 +1070,6 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, std::function done_callback) { RAY_CHECK(thread_checker_.IsOnSameThread()); RAY_LOG(INFO).WithField(actor_id.JobId()).WithField(actor_id) << "Destroying actor"; - actor_to_register_callbacks_.erase(actor_id); actor_to_restart_for_lineage_reconstruction_callbacks_.erase(actor_id); auto it = registered_actors_.find(actor_id); if (it == registered_actors_.end()) { @@ -1724,12 +1722,6 @@ const absl::flat_hash_map> return registered_actors_; } -const absl::flat_hash_map> - &GcsActorManager::GetActorRegisterCallbacks() const { - RAY_CHECK(thread_checker_.IsOnSameThread()); - return actor_to_register_callbacks_; -} - void GcsActorManager::RemoveUnresolvedActor(const std::shared_ptr &actor) { const auto &owner_address = actor->GetOwnerAddress(); auto node_id = NodeID::FromBinary(owner_address.raylet_id()); diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index e0948bca18f8..7e636983e763 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -278,8 +278,6 @@ class GcsActor { bool export_event_write_enabled_ = false; }; -using RegisterActorCallback = - std::function, const Status &status)>; using RestartActorForLineageReconstructionCallback = std::function)>; using CreateActorCallback = std::function success_callback); /// Set actors on the node as preempted and publish the actor information. /// If the node is already dead, this method is a no-op. @@ -505,9 +503,6 @@ class GcsActorManager : public rpc::ActorInfoHandler { const absl::flat_hash_map> &GetRegisteredActors() const; - const absl::flat_hash_map> - &GetActorRegisterCallbacks() const; - std::string DebugString() const; /// Collect stats from gcs actor manager in-memory data structures. @@ -671,7 +666,7 @@ class GcsActorManager : public rpc::ActorInfoHandler { /// Callbacks of pending `RegisterActor` requests. /// Maps actor ID to actor registration callbacks, which is used to filter duplicated /// messages from a driver/worker caused by some network problems. - absl::flat_hash_map> + absl::flat_hash_map>> actor_to_register_callbacks_; /// Callbacks of pending `RestartActorForLineageReconstruction` requests. /// Maps actor ID to actor restart callbacks, which is used to filter duplicated @@ -760,6 +755,7 @@ class GcsActorManager : public rpc::ActorInfoHandler { uint64_t counts_[CountType::CountType_MAX] = {0}; FRIEND_TEST(GcsActorManagerTest, TestKillActorWhenActorIsCreating); + friend class GcsActorManagerTest; }; } // namespace gcs diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc index dae0991e0c35..7f552fc41571 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc @@ -34,6 +34,8 @@ namespace ray { +namespace gcs { + using ::testing::_; using ::testing::Return; using json = nlohmann::json; @@ -231,9 +233,13 @@ class GcsActorManagerTest : public ::testing::Test { io_service_.post( [this, request, &promise]() { auto status = gcs_actor_manager_->RegisterActor( - request, - [&promise](std::shared_ptr actor, const Status &status) { - promise.set_value(std::move(actor)); + request, [this, request, &promise](const Status &status) { + auto actor_id = ActorID::FromBinary( + request.task_spec().actor_creation_task_spec().actor_id()); + promise.set_value( + gcs_actor_manager_->registered_actors_.contains(actor_id) + ? gcs_actor_manager_->registered_actors_[actor_id] + : nullptr); }); if (!status.ok()) { promise.set_value(nullptr); @@ -343,4 +349,6 @@ TEST_F(GcsActorManagerTest, TestBasic) { << lines.str(); } +} // namespace gcs + } // namespace ray diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc index ab49c9c1dc65..5ea63a0927e1 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc @@ -30,6 +30,7 @@ // clang-format on namespace ray { +namespace gcs { using ::testing::_; using ::testing::Return; @@ -150,7 +151,7 @@ class GcsActorManagerTest : public ::testing::Test { } } - virtual ~GcsActorManagerTest() { io_service_.stop(); } + ~GcsActorManagerTest() { io_service_.stop(); } rpc::Address RandomAddress() const { rpc::Address address; @@ -175,15 +176,14 @@ class GcsActorManagerTest : public ::testing::Test { } auto request = Mocker::GenRegisterActorRequest( job_id, max_restarts, detached, name, ray_namespace); - std::shared_ptr actor_out; - auto status = gcs_actor_manager_->RegisterActor( - request, - [&actor_out](std::shared_ptr actor, const Status &status) { - actor_out = std::move(actor); - }); + auto status = gcs_actor_manager_->RegisterActor(request, [](const Status &status) {}); io_service_.run_one(); io_service_.run_one(); - return actor_out; + auto actor_id = + ActorID::FromBinary(request.task_spec().actor_creation_task_spec().actor_id()); + return gcs_actor_manager_->registered_actors_.contains(actor_id) + ? gcs_actor_manager_->registered_actors_[actor_id] + : nullptr; } void OnNodeDead(const NodeID &node_id) { @@ -205,6 +205,11 @@ class GcsActorManagerTest : public ::testing::Test { io_service_.run_one(); } + const absl::flat_hash_map>> + &GetActorRegisterCallbacks() const { + return gcs_actor_manager_->actor_to_register_callbacks_; + } + instrumented_io_context io_service_; std::shared_ptr store_client_; std::shared_ptr gcs_table_storage_; @@ -582,8 +587,8 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { /*detached=*/true, /*name=*/""); - Status status = gcs_actor_manager_->RegisterActor( - request1, [](std::shared_ptr actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); io_service_.run_one(); // Ensure successful registration. @@ -597,8 +602,7 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { /*max_restarts=*/0, /*detached=*/true, /*name=*/""); - status = gcs_actor_manager_->RegisterActor( - request2, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); io_service_.run_one(); // Ensure successful registration. ASSERT_TRUE(status.ok()); @@ -613,8 +617,8 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor1", /*ray_namespace=*/"test_named_actor"); - Status status = gcs_actor_manager_->RegisterActor( - request1, [](std::shared_ptr actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor1", "test_named_actor").Binary(), @@ -625,8 +629,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor( - request2, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -642,8 +645,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor( - request3, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request3, [](const Status &status) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -655,8 +657,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor( - request4, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request4, [](const Status &status) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -823,8 +824,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNotHappendWhenReconstructed) { /*max_restarts=*/0, /*detached=*/true, /*name=*/"actor"); - status = gcs_actor_manager_->RegisterActor( - request2, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), @@ -959,7 +959,7 @@ TEST_F(GcsActorManagerTest, TestOwnerWorkerDieBeforeActorDependenciesResolved) { const auto ®istered_actors = gcs_actor_manager_->GetRegisteredActors(); ASSERT_FALSE(registered_actors.count(registered_actor->GetActorID())); - const auto &callbacks = gcs_actor_manager_->GetActorRegisterCallbacks(); + const auto &callbacks = GetActorRegisterCallbacks(); ASSERT_FALSE(callbacks.count(registered_actor->GetActorID())); io_service_.run_one(); } @@ -984,7 +984,7 @@ TEST_F(GcsActorManagerTest, TestOwnerWorkerDieBeforeDetachedActorDependenciesRes // Make sure the actor gets cleaned up. const auto ®istered_actors = gcs_actor_manager_->GetRegisteredActors(); ASSERT_FALSE(registered_actors.count(registered_actor->GetActorID())); - const auto &callbacks = gcs_actor_manager_->GetActorRegisterCallbacks(); + const auto &callbacks = GetActorRegisterCallbacks(); ASSERT_FALSE(callbacks.count(registered_actor->GetActorID())); io_service_.run_one(); } @@ -1007,7 +1007,7 @@ TEST_F(GcsActorManagerTest, TestOwnerNodeDieBeforeActorDependenciesResolved) { // Make sure the actor gets cleaned up. const auto ®istered_actors = gcs_actor_manager_->GetRegisteredActors(); ASSERT_FALSE(registered_actors.count(registered_actor->GetActorID())); - const auto &callbacks = gcs_actor_manager_->GetActorRegisterCallbacks(); + const auto &callbacks = GetActorRegisterCallbacks(); ASSERT_FALSE(callbacks.count(registered_actor->GetActorID())); } @@ -1029,7 +1029,7 @@ TEST_F(GcsActorManagerTest, TestOwnerNodeDieBeforeDetachedActorDependenciesResol // Make sure the actor gets cleaned up. const auto ®istered_actors = gcs_actor_manager_->GetRegisteredActors(); ASSERT_FALSE(registered_actors.count(registered_actor->GetActorID())); - const auto &callbacks = gcs_actor_manager_->GetActorRegisterCallbacks(); + const auto &callbacks = GetActorRegisterCallbacks(); ASSERT_FALSE(callbacks.count(registered_actor->GetActorID())); } @@ -1082,8 +1082,8 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { /*max_restarts=*/0, /*detached=*/true, /*name=*/"actor"); - Status status = gcs_actor_manager_->RegisterActor( - request1, [](std::shared_ptr actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -1096,8 +1096,7 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { second_namespace); // Create a second actor of the same name. Its job id belongs to a different // namespace though. - status = gcs_actor_manager_->RegisterActor( - request2, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", second_namespace).Binary(), request2.task_spec().actor_creation_task_spec().actor_id()); @@ -1111,8 +1110,7 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { /*detached=*/true, /*name=*/"actor", /*ray_namespace=*/"test"); - status = gcs_actor_manager_->RegisterActor( - request3, [](std::shared_ptr actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request3, [](const Status &status) {}); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -1128,9 +1126,8 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { Mocker::GenRegisterActorRequest(job_id_1, 0, true, actor_name, ray_namespace); auto actor_id_1 = ActorID::FromBinary(request_1.task_spec().actor_creation_task_spec().actor_id()); - Status status = gcs_actor_manager_->RegisterActor( - request_1, - [](const std::shared_ptr &actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request_1, [](const Status &status) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, ray_namespace).Binary(), actor_id_1.Binary()); @@ -1149,9 +1146,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { Mocker::GenRegisterActorRequest(job_id_2, 0, true, actor_name, ray_namespace); auto actor_id_2 = ActorID::FromBinary(request_2.task_spec().actor_creation_task_spec().actor_id()); - status = gcs_actor_manager_->RegisterActor( - request_2, - [](const std::shared_ptr &actor, const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request_2, [](const Status &status) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, ray_namespace).Binary(), actor_id_2.Binary()); @@ -1190,8 +1185,8 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { auto request1 = Mocker::GenRegisterActorRequest(job_id_other, /*max_restarts=*/0, /*detached=*/false); - Status status = gcs_actor_manager_->RegisterActor( - request1, [](std::shared_ptr actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); ASSERT_TRUE(status.ok()); io_service_.run_one(); } @@ -1268,8 +1263,8 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoLimit) { auto request1 = Mocker::GenRegisterActorRequest(job_id_1, /*max_restarts=*/0, /*detached=*/false); - Status status = gcs_actor_manager_->RegisterActor( - request1, [](std::shared_ptr actor, const Status &status) {}); + Status status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); ASSERT_TRUE(status.ok()); io_service_.run_one(); } @@ -1293,8 +1288,6 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoLimit) { } } -namespace gcs { - TEST_F(GcsActorManagerTest, TestKillActorWhenActorIsCreating) { auto job_id = JobID::FromInt(1); auto registered_actor = RegisterActor(job_id, /*max_restarts*/ -1); @@ -1624,6 +1617,32 @@ TEST_F(GcsActorManagerTest, TestDestroyActorWhenActorIsCreating) { ASSERT_EQ(actor->GetState(), rpc::ActorTableData::DEAD); } +TEST_F(GcsActorManagerTest, TestDestroyWhileRegistering) { + // Register comes in -> Kill comes in -> Run all kv operations and callbacks + auto register_request = Mocker::GenRegisterActorRequest( + JobID::FromInt(1), /*max_restarts=*/0, /*detached=*/false, "", "test"); + rpc::RegisterActorReply register_reply; + gcs_actor_manager_->HandleRegisterActor( + register_request, ®ister_reply, [](auto, auto, auto) {}); + rpc::KillActorViaGcsRequest kill_request; + kill_request.set_actor_id( + register_request.task_spec().actor_creation_task_spec().actor_id()); + kill_request.set_force_kill(false); + kill_request.set_no_restart(true); + rpc::KillActorViaGcsReply kill_reply; + gcs_actor_manager_->HandleKillActorViaGcs( + kill_request, &kill_reply, [](auto, auto, auto) {}); + // Run all kv operations and callbacks + for (int i = 0; i < 5; i++) { + io_service_.run_one(); + } + ASSERT_EQ(register_reply.status().code(), + static_cast(StatusCode::SchedulingCancelled)); + ASSERT_EQ(kill_reply.status().code(), static_cast(StatusCode::OK)); + ASSERT_EQ(worker_client_->killed_actors_.size(), 0); + ASSERT_TRUE(gcs_actor_manager_->GetRegisteredActors().empty()); +} + } // namespace gcs } // namespace ray From d8b3b4d4dd12eae3404a3c1233e2839dea6effe6 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 3 Jul 2025 15:19:35 -0700 Subject: [PATCH 0041/1566] Fix `test_runtime_env_container` (#54330) Move `httpx` out of `test_utils` because for some reason it is not available in the image used for `test_runtime_env_container. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 13 ------------- python/ray/serve/tests/test_cli_2.py | 10 +++++++++- python/ray/serve/tests/test_cli_3.py | 10 +++++++++- 3 files changed, 18 insertions(+), 15 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index 5b7e24967936..d1db5f3e70a6 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -9,7 +9,6 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union import grpc -import httpx import requests from starlette.requests import Request @@ -425,18 +424,6 @@ def check_telemetry( return True -CONNECTION_ERROR_MSG = "connection error" - - -def ping_endpoint(endpoint: str, params: str = ""): - endpoint = endpoint.lstrip("/") - - try: - return httpx.get(f"http://localhost:8000/{endpoint}{params}").text - except httpx.HTTPError: - return CONNECTION_ERROR_MSG - - def ping_grpc_list_applications(channel, app_names, test_draining=False): import pytest diff --git a/python/ray/serve/tests/test_cli_2.py b/python/ray/serve/tests/test_cli_2.py index fecf6defcef9..6cdb38e3d68e 100644 --- a/python/ray/serve/tests/test_cli_2.py +++ b/python/ray/serve/tests/test_cli_2.py @@ -17,7 +17,6 @@ from ray._common.test_utils import wait_for_condition from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( - ping_endpoint, ping_fruit_stand, ping_grpc_another_method, ping_grpc_call_method, @@ -32,6 +31,15 @@ CONNECTION_ERROR_MSG = "connection error" +def ping_endpoint(endpoint: str, params: str = ""): + endpoint = endpoint.lstrip("/") + + try: + return httpx.get(f"http://localhost:8000/{endpoint}{params}").text + except httpx.HTTPError: + return CONNECTION_ERROR_MSG + + def check_app_status(app_name: str, expected_status: str): status_response = subprocess.check_output(["serve", "status"]) status = yaml.safe_load(status_response)["applications"] diff --git a/python/ray/serve/tests/test_cli_3.py b/python/ray/serve/tests/test_cli_3.py index c2d4f43b20e5..88547692e983 100644 --- a/python/ray/serve/tests/test_cli_3.py +++ b/python/ray/serve/tests/test_cli_3.py @@ -13,7 +13,6 @@ from ray._common.pydantic_compat import BaseModel from ray._common.test_utils import wait_for_condition from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME -from ray.serve._private.test_utils import ping_endpoint from ray.serve.handle import DeploymentHandle from ray.serve.tests.common.remote_uris import ( TEST_DAG_PINNED_URI, @@ -23,6 +22,15 @@ CONNECTION_ERROR_MSG = "connection error" +def ping_endpoint(endpoint: str, params: str = ""): + endpoint = endpoint.lstrip("/") + + try: + return httpx.get(f"http://localhost:8000/{endpoint}{params}").text + except httpx.HTTPError: + return CONNECTION_ERROR_MSG + + def check_app_status(app_name: str, expected_status: str): status_response = subprocess.check_output(["serve", "status"]) status = yaml.safe_load(status_response)["applications"] From 326edd1482c272beee028795f49e30f80aa33bac Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 3 Jul 2025 15:56:34 -0700 Subject: [PATCH 0042/1566] [core][task-manager/02] consolidate TaskManager interface (#54317) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR is smaller than it looks. The `TaskManager` class currently exposes two interfaces: `TaskFinisher` and `TaskResubmission`. While these interfaces are well-intentioned, they are only implemented by `TaskManager` itself, and the methods they define are not fully independent. As a result, it’s unlikely that these interfaces could be meaningfully separated or implemented in isolation. This change consolidates them into a single `TaskManager` interface, which can be reused where needed. The goal is to reduce the number of concepts and components required to reason about the Ray core, and to simplify the overall design. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- ...ask_manager.h => task_manager_interface.h} | 15 +- src/ray/core_worker/BUILD.bazel | 8 +- .../core_worker/object_recovery_manager.cc | 2 +- src/ray/core_worker/object_recovery_manager.h | 6 +- src/ray/core_worker/task_finisher.h | 75 ------ src/ray/core_worker/task_manager.h | 106 +------- src/ray/core_worker/task_manager_interface.h | 175 +++++++++++++ .../test/actor_task_submitter_test.cc | 78 +++--- .../test/dependency_resolver_test.cc | 63 ++--- .../test/direct_actor_transport_mock_test.cc | 18 +- .../test/normal_task_submitter_test.cc | 239 +++++++++--------- .../test/object_recovery_manager_test.cc | 37 +-- .../transport/actor_task_submitter.cc | 85 +++---- .../transport/actor_task_submitter.h | 14 +- .../transport/dependency_resolver.cc | 4 +- .../transport/dependency_resolver.h | 8 +- .../transport/normal_task_submitter.cc | 52 ++-- .../transport/normal_task_submitter.h | 8 +- 18 files changed, 504 insertions(+), 489 deletions(-) rename src/mock/ray/core_worker/{task_manager.h => task_manager_interface.h} (82%) delete mode 100644 src/ray/core_worker/task_finisher.h create mode 100644 src/ray/core_worker/task_manager_interface.h diff --git a/src/mock/ray/core_worker/task_manager.h b/src/mock/ray/core_worker/task_manager_interface.h similarity index 82% rename from src/mock/ray/core_worker/task_manager.h rename to src/mock/ray/core_worker/task_manager_interface.h index 5d24c3da56f8..cb99c274b830 100644 --- a/src/mock/ray/core_worker/task_manager.h +++ b/src/mock/ray/core_worker/task_manager_interface.h @@ -14,11 +14,20 @@ #pragma once #include "gmock/gmock.h" +#include "ray/core_worker/task_manager_interface.h" + namespace ray { namespace core { -class MockTaskFinisherInterface : public TaskFinisherInterface { +class MockTaskManagerInterface : public TaskManagerInterface { public: + MOCK_METHOD(std::vector, + AddPendingTask, + (const rpc::Address &caller_address, + const TaskSpecification &spec, + const std::string &call_site, + int max_retries), + (override)); MOCK_METHOD(void, CompletePendingTask, (const TaskID &task_id, @@ -42,6 +51,10 @@ class MockTaskFinisherInterface : public TaskFinisherInterface { bool mark_task_object_failed, bool fail_immediately), (override)); + MOCK_METHOD(std::optional, + ResubmitTask, + (const TaskID &task_id, std::vector *task_deps), + (override)); MOCK_METHOD(void, OnTaskDependenciesInlined, (const std::vector &inlined_dependency_ids, diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 1d285a9f5a89..fe1af772fe93 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -262,8 +262,8 @@ ray_cc_library( ) ray_cc_library( - name = "task_finisher", - hdrs = ["task_finisher.h"], + name = "task_manager_interface", + hdrs = ["task_manager_interface.h"], deps = [ "//src/ray/common:id", "//src/ray/common:status", @@ -282,7 +282,7 @@ ray_cc_library( ":actor_manager", ":memory_store", ":task_event_buffer", - ":task_finisher", + ":task_manager_interface", "//src/ray/gcs:gcs_pb_util", "//src/ray/common:id", "//src/ray/common:ray_object", @@ -306,7 +306,7 @@ ray_cc_library( deps = [ ":actor_creator", ":memory_store", - ":task_finisher", + ":task_manager_interface", "//src/ray/common:id", "//src/ray/common:task_common", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 00e1cd66663c..5b96fa3fd5db 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -183,7 +183,7 @@ void ObjectRecoveryManager::ReconstructObject(const ObjectID &object_id) { // after ResubmitTask, then it will remain true forever. // see https://github.com/ray-project/ray/issues/47606 for more details. reference_counter_.UpdateObjectPendingCreation(object_id, true); - auto error_type_optional = task_resubmitter_.ResubmitTask(task_id, &task_deps); + auto error_type_optional = task_manager_.ResubmitTask(task_id, &task_deps); if (!error_type_optional.has_value()) { // Try to recover the task's dependencies. diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index 9bd930ae108f..8b35848728e7 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -48,11 +48,11 @@ class ObjectRecoveryManager { std::shared_ptr local_object_pinning_client, std::function object_lookup, - TaskResubmissionInterface &task_resubmitter, + TaskManagerInterface &task_manager, ReferenceCounter &reference_counter, CoreWorkerMemoryStore &in_memory_store, ObjectRecoveryFailureCallback recovery_failure_callback) - : task_resubmitter_(task_resubmitter), + : task_manager_(task_manager), reference_counter_(reference_counter), rpc_address_(std::move(rpc_address)), client_factory_(std::move(client_factory)), @@ -112,7 +112,7 @@ class ObjectRecoveryManager { void ReconstructObject(const ObjectID &object_id); /// Used to resubmit tasks. - TaskResubmissionInterface &task_resubmitter_; + TaskManagerInterface &task_manager_; /// Used to check whether we own an object. ReferenceCounter &reference_counter_; diff --git a/src/ray/core_worker/task_finisher.h b/src/ray/core_worker/task_finisher.h deleted file mode 100644 index c71c5f99e952..000000000000 --- a/src/ray/core_worker/task_finisher.h +++ /dev/null @@ -1,75 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include "absl/types/optional.h" -#include "ray/common/id.h" -#include "ray/common/scheduling/scheduling_ids.h" -#include "ray/common/status.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_spec.h" -#include "src/ray/protobuf/common.pb.h" -#include "src/ray/protobuf/core_worker.pb.h" - -namespace ray { -namespace core { - -class TaskFinisherInterface { - public: - virtual ~TaskFinisherInterface() = default; - - virtual void CompletePendingTask(const TaskID &task_id, - const rpc::PushTaskReply &reply, - const rpc::Address &actor_addr, - bool is_application_error) = 0; - - virtual bool RetryTaskIfPossible(const TaskID &task_id, - const rpc::RayErrorInfo &error_info) = 0; - - virtual void FailPendingTask(const TaskID &task_id, - rpc::ErrorType error_type, - const Status *status = nullptr, - const rpc::RayErrorInfo *ray_error_info = nullptr) = 0; - - virtual bool FailOrRetryPendingTask(const TaskID &task_id, - rpc::ErrorType error_type, - const Status *status, - const rpc::RayErrorInfo *ray_error_info = nullptr, - bool mark_task_object_failed = true, - bool fail_immediately = false) = 0; - - virtual void MarkTaskWaitingForExecution(const TaskID &task_id, - const NodeID &node_id, - const WorkerID &worker_id) = 0; - - virtual void OnTaskDependenciesInlined( - const std::vector &inlined_dependency_ids, - const std::vector &contained_ids) = 0; - - virtual void MarkDependenciesResolved(const TaskID &task_id) = 0; - - virtual void MarkTaskCanceled(const TaskID &task_id) = 0; - - virtual std::optional GetTaskSpec(const TaskID &task_id) const = 0; - - virtual bool IsTaskPending(const TaskID &task_id) const = 0; - - virtual void MarkGeneratorFailedAndResubmit(const TaskID &task_id) = 0; -}; - -} // namespace core -} // namespace ray diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 55e3a430fa65..78d5e3ec2425 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -26,7 +26,7 @@ #include "ray/common/id.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" -#include "ray/core_worker/task_finisher.h" +#include "ray/core_worker/task_manager_interface.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/common.pb.h" @@ -38,14 +38,6 @@ namespace core { class ActorManager; -class TaskResubmissionInterface { - public: - virtual std::optional ResubmitTask( - const TaskID &task_id, std::vector *task_deps) = 0; - - virtual ~TaskResubmissionInterface() = default; -}; - using TaskStatusCounter = CounterMap>; using PutInLocalPlasmaCallback = std::function; @@ -173,7 +165,7 @@ class ObjectRefStream { int64_t total_num_object_consumed_{}; }; -class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterface { +class TaskManager : public TaskManagerInterface { public: TaskManager(CoreWorkerMemoryStore &in_memory_store, ReferenceCounter &reference_counter, @@ -208,36 +200,11 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa }); } - /// Add a task that is pending execution. - /// - /// The local ref count for all return refs (excluding actor creation tasks) - /// will be initialized to 1 so that the ref is considered in scope before - /// returning to the language frontend. The caller is responsible for - /// decrementing the ref count once the frontend ref has gone out of scope. - /// - /// \param[in] caller_address The rpc address of the calling task. - /// \param[in] spec The spec of the pending task. - /// \param[in] max_retries Number of times this task may be retried - /// on failure. - /// \return ObjectRefs returned by this task. std::vector AddPendingTask(const rpc::Address &caller_address, const TaskSpecification &spec, const std::string &call_site, - int max_retries = 0); - - /// Resubmit a task that has completed execution before. This is used to - /// reconstruct objects stored in Plasma that were lost. - /// - /// \param[in] task_id The ID of the task to resubmit. - /// \param[out] task_deps The object dependencies of the resubmitted task, - /// i.e. all arguments that were not inlined in the task spec. The caller is - /// responsible for making sure that these dependencies become available, so - /// that the resubmitted task can run. This is only populated if the task was - /// not already pending and was successfully resubmitted. - /// \return nullopt if the task was successfully resubmitted (task or actor being - /// scheduled, but no guarantee on completion), or was already pending. Return the - /// appopriate error type to propagate for the object if the task was not successfully - /// resubmitted. + int max_retries = 0) override; + std::optional ResubmitTask(const TaskID &task_id, std::vector *task_deps) override; @@ -246,13 +213,6 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa /// \param shutdown The shutdown callback to call. void DrainAndShutdown(std::function shutdown); - /// Write return objects for a pending task to the memory store. - /// - /// \param[in] task_id ID of the pending task. - /// \param[in] reply Proto response to a direct actor or task call. - /// \param[in] worker_addr Address of the worker that executed the task. - /// \param[in] is_application_error Whether this is an Exception return. - /// \return Void. void CompletePendingTask(const TaskID &task_id, const rpc::PushTaskReply &reply, const rpc::Address &worker_addr, @@ -434,33 +394,11 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa std::pair PeekObjectRefStream(const ObjectID &generator_id) ABSL_LOCKS_EXCLUDED(mu_); - /// Called by submitter when a generator task marked for resubmission for intermediate - /// object recovery comes back from the executing worker. We mark the attempt as failed - /// and resubmit it, so we can recover the intermediate return. void MarkGeneratorFailedAndResubmit(const TaskID &task_id) override; - /// Returns true if task can be retried. - /// - /// \param[in] task_id ID of the task to be retried. - /// \return true if task is scheduled to be retried. bool RetryTaskIfPossible(const TaskID &task_id, const rpc::RayErrorInfo &error_info) override; - /// A pending task failed. This will either retry the task or mark the task - /// as failed if there are no retries left. - /// - /// \param[in] task_id ID of the pending task. - /// \param[in] error_type The type of the specific error. - /// \param[in] status Optional status message. - /// \param[in] ray_error_info The error information of a given error type. - /// Nullptr means that there's no error information. - /// TODO(sang): Remove nullptr case. Every error message should have metadata. - /// \param[in] mark_task_object_failed whether or not it marks the task - /// return object as failed. If this is set to false, then the caller is - /// responsible for later failing or completing the task. - /// \param[in] fail_immediately whether to fail the task and ignore - /// the retries that are available. - /// \return Whether the task will be retried or not. bool FailOrRetryPendingTask(const TaskID &task_id, rpc::ErrorType error_type, const Status *status = nullptr, @@ -468,16 +406,6 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa bool mark_task_object_failed = true, bool fail_immediately = false) override; - /// A pending task failed. This will mark the task as failed. - /// This doesn't always mark the return object as failed - /// depending on mark_task_object_failed. - /// - /// \param[in] task_id ID of the pending task. - /// \param[in] error_type The type of the specific error. - /// \param[in] status Optional status message. - /// \param[in] ray_error_info The error information of a given error type. - /// \param[in] mark_task_object_failed whether or not it marks the task - /// return object as failed. void FailPendingTask(const TaskID &task_id, rpc::ErrorType error_type, const Status *status = nullptr, @@ -495,24 +423,11 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa const rpc::RayErrorInfo *ray_error_info, const absl::flat_hash_set &store_in_plasma_ids) ABSL_LOCKS_EXCLUDED(mu_); - /// A task's dependencies were inlined in the task spec. This will decrement - /// the ref count for the dependency IDs. If the dependencies contained other - /// ObjectIDs, then the ref count for these object IDs will be incremented. - /// - /// \param[in] inlined_dependency_ids The args that were originally passed by - /// reference into the task, but have now been inlined. - /// \param[in] contained_ids Any ObjectIDs that were newly inlined in the - /// task spec, because a serialized copy of the ID was contained in one of - /// the inlined dependencies. void OnTaskDependenciesInlined(const std::vector &inlined_dependency_ids, const std::vector &contained_ids) override; - /// Set the task state to be canceled. Set the number of retries to zero. - /// - /// \param[in] task_id to cancel. void MarkTaskCanceled(const TaskID &task_id) override; - /// Return the spec for a pending task. std::optional GetTaskSpec(const TaskID &task_id) const override; /// Return specs for pending children tasks of the given parent task. @@ -524,10 +439,6 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa /// \return Whether the task can be submitted for execution. bool IsTaskSubmissible(const TaskID &task_id) const; - /// Return whether the task is pending. - /// - /// \param[in] task_id ID of the task to query. - /// \return Whether the task is pending. bool IsTaskPending(const TaskID &task_id) const override; /// Return whether the task is scheduled adn waiting for execution. @@ -549,17 +460,8 @@ class TaskManager : public TaskFinisherInterface, public TaskResubmissionInterfa return total_lineage_footprint_bytes_; } - /// Record that the given task's dependencies have been created and the task - /// can now be scheduled for execution. - /// - /// \param[in] task_id The task that is now scheduled. void MarkDependenciesResolved(const TaskID &task_id) override; - /// Record that the given task is scheduled and wait for execution. - /// - /// \param[in] task_id The task that is will be running. - /// \param[in] node_id The node id that this task wil be running. - /// \param[in] worker_id The worker id that this task wil be running. void MarkTaskWaitingForExecution(const TaskID &task_id, const NodeID &node_id, const WorkerID &worker_id) override; diff --git a/src/ray/core_worker/task_manager_interface.h b/src/ray/core_worker/task_manager_interface.h new file mode 100644 index 000000000000..efce8611c999 --- /dev/null +++ b/src/ray/core_worker/task_manager_interface.h @@ -0,0 +1,175 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +#include "absl/types/optional.h" +#include "ray/common/id.h" +#include "ray/common/scheduling/scheduling_ids.h" +#include "ray/common/status.h" +#include "ray/common/task/task.h" +#include "ray/common/task/task_spec.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/core_worker.pb.h" + +namespace ray { +namespace core { + +class TaskManagerInterface { + public: + virtual ~TaskManagerInterface() = default; + + /// Add a task that is pending execution. + /// + /// The local ref count for all return refs (excluding actor creation tasks) + /// will be initialized to 1 so that the ref is considered in scope before + /// returning to the language frontend. The caller is responsible for + /// decrementing the ref count once the frontend ref has gone out of scope. + /// + /// \param[in] caller_address The rpc address of the calling task. + /// \param[in] spec The spec of the pending task. + /// \param[in] max_retries Number of times this task may be retried + /// on failure. + /// \return ObjectRefs returned by this task. + virtual std::vector AddPendingTask( + const rpc::Address &caller_address, + const TaskSpecification &spec, + const std::string &call_site, + int max_retries = 0) = 0; + + /// Write return objects for a pending task to the memory store. + /// + /// \param[in] task_id ID of the pending task. + /// \param[in] reply Proto response to a direct actor or task call. + /// \param[in] worker_addr Address of the worker that executed the task. + /// \param[in] is_application_error Whether this is an Exception return. + /// \return Void. + virtual void CompletePendingTask(const TaskID &task_id, + const rpc::PushTaskReply &reply, + const rpc::Address &actor_addr, + bool is_application_error) = 0; + + /// Returns true if task can be retried. + /// + /// \param[in] task_id ID of the task to be retried. + /// \return true if task is scheduled to be retried. + virtual bool RetryTaskIfPossible(const TaskID &task_id, + const rpc::RayErrorInfo &error_info) = 0; + + /// A pending task failed. This will mark the task as failed. + /// This doesn't always mark the return object as failed + /// depending on mark_task_object_failed. + /// + /// \param[in] task_id ID of the pending task. + /// \param[in] error_type The type of the specific error. + /// \param[in] status Optional status message. + /// \param[in] ray_error_info The error information of a given error type. + /// \param[in] mark_task_object_failed whether or not it marks the task + /// return object as failed. + virtual void FailPendingTask(const TaskID &task_id, + rpc::ErrorType error_type, + const Status *status = nullptr, + const rpc::RayErrorInfo *ray_error_info = nullptr) = 0; + + /// A pending task failed. This will either retry the task or mark the task + /// as failed if there are no retries left. + /// + /// \param[in] task_id ID of the pending task. + /// \param[in] error_type The type of the specific error. + /// \param[in] status Optional status message. + /// \param[in] ray_error_info The error information of a given error type. + /// Nullptr means that there's no error information. + /// TODO(sang): Remove nullptr case. Every error message should have metadata. + /// \param[in] mark_task_object_failed whether or not it marks the task + /// return object as failed. If this is set to false, then the caller is + /// responsible for later failing or completing the task. + /// \param[in] fail_immediately whether to fail the task and ignore + /// the retries that are available. + /// \return Whether the task will be retried or not. + virtual bool FailOrRetryPendingTask(const TaskID &task_id, + rpc::ErrorType error_type, + const Status *status, + const rpc::RayErrorInfo *ray_error_info = nullptr, + bool mark_task_object_failed = true, + bool fail_immediately = false) = 0; + + /// Resubmit a task that has completed execution before. This is used to + /// reconstruct objects stored in Plasma that were lost. + /// + /// \param[in] task_id The ID of the task to resubmit. + /// \param[out] task_deps The object dependencies of the resubmitted task, + /// i.e. all arguments that were not inlined in the task spec. The caller is + /// responsible for making sure that these dependencies become available, so + /// that the resubmitted task can run. This is only populated if the task was + /// not already pending and was successfully resubmitted. + /// \return nullopt if the task was successfully resubmitted (task or actor being + /// scheduled, but no guarantee on completion), or was already pending. Return the + /// appopriate error type to propagate for the object if the task was not successfully + /// resubmitted. + virtual std::optional ResubmitTask( + const TaskID &task_id, std::vector *task_deps) = 0; + + /// Record that the given task is scheduled and wait for execution. + /// + /// \param[in] task_id The task that is will be running. + /// \param[in] node_id The node id that this task wil be running. + /// \param[in] worker_id The worker id that this task wil be running. + virtual void MarkTaskWaitingForExecution(const TaskID &task_id, + const NodeID &node_id, + const WorkerID &worker_id) = 0; + + /// A task's dependencies were inlined in the task spec. This will decrement + /// the ref count for the dependency IDs. If the dependencies contained other + /// ObjectIDs, then the ref count for these object IDs will be incremented. + /// + /// \param[in] inlined_dependency_ids The args that were originally passed by + /// reference into the task, but have now been inlined. + /// \param[in] contained_ids Any ObjectIDs that were newly inlined in the + /// task spec, because a serialized copy of the ID was contained in one of + /// the inlined dependencies. + virtual void OnTaskDependenciesInlined( + const std::vector &inlined_dependency_ids, + const std::vector &contained_ids) = 0; + + /// Record that the given task's dependencies have been created and the task + /// can now be scheduled for execution. + /// + /// \param[in] task_id The task that is now scheduled. + virtual void MarkDependenciesResolved(const TaskID &task_id) = 0; + + /// Set the task state to be canceled. Set the number of retries to zero. + /// + /// \param[in] task_id to cancel. + virtual void MarkTaskCanceled(const TaskID &task_id) = 0; + + /// Return the spec for a pending task. + virtual std::optional GetTaskSpec(const TaskID &task_id) const = 0; + + /// Return whether the task is pending. + /// + /// \param[in] task_id ID of the task to query. + /// \return Whether the task is pending. + virtual bool IsTaskPending(const TaskID &task_id) const = 0; + + /// Called by submitter when a generator task marked for resubmission for intermediate + /// object recovery comes back from the executing worker. We mark the attempt as failed + /// and resubmit it, so we can recover the intermediate return. + virtual void MarkGeneratorFailedAndResubmit(const TaskID &task_id) = 0; +}; + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/test/actor_task_submitter_test.cc b/src/ray/core_worker/test/actor_task_submitter_test.cc index dac36994109d..7cc46fefefa3 100644 --- a/src/ray/core_worker/test/actor_task_submitter_test.cc +++ b/src/ray/core_worker/test/actor_task_submitter_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/actor_creator.h" #include "mock/ray/core_worker/reference_count.h" -#include "mock/ray/core_worker/task_manager.h" +#include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/test_util.h" #include "ray/rpc/worker/core_worker_client.h" @@ -92,13 +92,13 @@ class ActorTaskSubmitterTest : public ::testing::TestWithParam { })), worker_client_(std::make_shared()), store_(std::make_shared(io_context)), - task_finisher_(std::make_shared()), + task_manager_(std::make_shared()), io_work(io_context.get_executor()), reference_counter_(std::make_shared()), submitter_( *client_pool_, *store_, - *task_finisher_, + *task_manager_, actor_creator_, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, [this](const ActorID &actor_id, int64_t num_queued) { @@ -115,7 +115,7 @@ class ActorTaskSubmitterTest : public ::testing::TestWithParam { std::shared_ptr client_pool_; std::shared_ptr worker_client_; std::shared_ptr store_; - std::shared_ptr task_finisher_; + std::shared_ptr task_manager_; instrumented_io_context io_context; boost::asio::executor_work_guard io_work; std::shared_ptr reference_counter_; @@ -147,9 +147,9 @@ TEST_P(ActorTaskSubmitterTest, TestSubmitTask) { ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 2); - EXPECT_CALL(*task_finisher_, CompletePendingTask(_, _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(_, _, _, _)) .Times(worker_client_->callbacks.size()); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK()); worker_client_->ReplyPushTask(task2.GetTaskAttempt(), Status::OK()); ASSERT_THAT(worker_client_->received_seq_nos, ElementsAre(0, 1)); @@ -332,17 +332,17 @@ TEST_P(ActorTaskSubmitterTest, TestActorDead) { ASSERT_EQ(worker_client_->callbacks.size(), 1); // Simulate the actor dying. All in-flight tasks should get failed. - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task1.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task1.TaskId(), _, _, _, _, _)) .Times(1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(_, _, _, _)).Times(0); + EXPECT_CALL(*task_manager_, CompletePendingTask(_, _, _, _)).Times(0); ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::IOError(""))); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); const auto death_cause = CreateMockDeathCause(); submitter_.DisconnectActor( actor_id, 1, /*dead=*/false, death_cause, /*is_restartable=*/true); // Actor marked as dead. All queued tasks should get failed. - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) .Times(1); submitter_.DisconnectActor( actor_id, 2, /*dead=*/true, death_cause, /*is_restartable=*/false); @@ -376,12 +376,12 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartNoRetry) { ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) .Times(1); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task3.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task3.TaskId(), _, _, _, _, _)) .Times(1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task4.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, CompletePendingTask(task4.TaskId(), _, _, _)).Times(1); // First task finishes. Second task fails. ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK())); ASSERT_TRUE(worker_client_->ReplyPushTask(task2.GetTaskAttempt(), Status::IOError(""))); @@ -434,12 +434,12 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartRetry) { ASSERT_EQ(io_context.poll_one(), 1); // All tasks will eventually finish. - EXPECT_CALL(*task_finisher_, CompletePendingTask(_, _, _, _)).Times(4); + EXPECT_CALL(*task_manager_, CompletePendingTask(_, _, _, _)).Times(4); // Tasks 2 and 3 will be retried. - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) .Times(1) .WillRepeatedly(Return(true)); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task3.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task3.TaskId(), _, _, _, _, _)) .Times(1) .WillRepeatedly(Return(true)); // First task finishes. Second task fails. @@ -503,10 +503,10 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); ASSERT_EQ(io_context.poll_one(), 1); // All tasks will eventually finish. - EXPECT_CALL(*task_finisher_, CompletePendingTask(_, _, _, _)).Times(3); + EXPECT_CALL(*task_manager_, CompletePendingTask(_, _, _, _)).Times(3); // Tasks 2 will be retried - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) .Times(1) .WillRepeatedly(Return(true)); // First task finishes. Second task hang. Third task finishes. @@ -523,7 +523,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { submitter_.ConnectActor(actor_id, addr, 1); // Upon re-connect, task 2 (failed) should be retried. - // Retry task 2 manually (simulating task_finisher and SendPendingTask's behavior) + // Retry task 2 manually (simulating task_manager and SendPendingTask's behavior) task2.GetMutableMessage().set_attempt_number(task2.AttemptNumber() + 1); task2.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(3); ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); @@ -555,7 +555,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { // Submit a task. ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK())); // Actor restarts, but we don't receive the disconnect message until later. @@ -566,7 +566,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task2.GetTaskAttempt(), Status::OK())); // We receive the RESTART message late. Nothing happens. @@ -578,7 +578,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task3.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, CompletePendingTask(task3.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task3.GetTaskAttempt(), Status::OK())); // The actor dies twice. We receive the last RESTART message first. @@ -592,7 +592,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { // Tasks submitted when the actor is in RESTARTING state will fail immediately. // This happens in an io_service.post. Search `SendPendingTasks_ForceFail` to locate // the code. - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task4.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task4.TaskId(), _, _, _, _, _)) .Times(1); ASSERT_EQ(io_context.poll_one(), 1); @@ -616,7 +616,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task5 = CreateActorTaskHelper(actor_id, worker_id, 4); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task5.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task5.TaskId(), _, _, _, _, _)) .Times(1); ASSERT_TRUE(submitter_.SubmitTask(task5).ok()); ASSERT_EQ(io_context.poll_one(), 0); @@ -644,7 +644,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { // Submit a task. ASSERT_TRUE(submitter_.SubmitTask(task1_first_attempt).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task1_first_attempt.TaskId(), _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task1_first_attempt.TaskId(), _, _, _)) .Times(1); ASSERT_TRUE( worker_client_->ReplyPushTask(task1_first_attempt.GetTaskAttempt(), Status::OK())); @@ -657,10 +657,10 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { ASSERT_EQ(io_context.poll_one(), 1); // Actor failed, but the task replies are delayed (or in some scenarios, lost). // We should still be able to fail the inflight tasks. - EXPECT_CALL(*task_finisher_, + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2_first_attempt.TaskId(), _, _, _, _, _)) .Times(1); - EXPECT_CALL(*task_finisher_, + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task3_first_attempt.TaskId(), _, _, _, _, _)) .Times(1); const auto death_cause = CreateMockDeathCause(); @@ -695,9 +695,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { // The task reply of the first attempt of task2 is now received. // Since the first attempt is already failed, it will not // be marked as failed or finished again. - EXPECT_CALL(*task_finisher_, CompletePendingTask(task2_first_attempt.TaskId(), _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task2_first_attempt.TaskId(), _, _, _)) .Times(0); - EXPECT_CALL(*task_finisher_, + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2_first_attempt.TaskId(), _, _, _, _, _)) .Times(0); // First attempt of task2 replied with OK. @@ -707,11 +707,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { // and task3. ASSERT_EQ(worker_client_->callbacks.size(), 3); - EXPECT_CALL(*task_finisher_, - CompletePendingTask(task2_second_attempt.TaskId(), _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task2_second_attempt.TaskId(), _, _, _)) .Times(1); - EXPECT_CALL(*task_finisher_, - CompletePendingTask(task3_second_attempt.TaskId(), _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task3_second_attempt.TaskId(), _, _, _)) .Times(1); // Second attempt of task2 replied with OK. ASSERT_TRUE( @@ -725,9 +723,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { // The task reply of the first attempt of task3 is now received. // Since the first attempt is already failed, it will not // be marked as failed or finished again. - EXPECT_CALL(*task_finisher_, CompletePendingTask(task3_first_attempt.TaskId(), _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task3_first_attempt.TaskId(), _, _, _)) .Times(0); - EXPECT_CALL(*task_finisher_, + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task3_first_attempt.TaskId(), _, _, _, _, _)) .Times(0); // First attempt of task3 replied with error. @@ -756,7 +754,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { // Submit a task. ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); + EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK())); // Actor failed and is now restarting. @@ -768,8 +766,8 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); ASSERT_EQ(io_context.poll_one(), 1); - EXPECT_CALL(*task_finisher_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(0); - EXPECT_CALL(*task_finisher_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) + EXPECT_CALL(*task_manager_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(0); + EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) .Times(1); ASSERT_EQ(io_context.poll_one(), 1); } @@ -844,7 +842,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartResubmit) { submitter_.ConnectActor(actor_id, addr, 0); ASSERT_EQ(worker_client_->callbacks.size(), 1); ASSERT_TRUE(submitter_.QueueGeneratorForResubmit(task1)); - EXPECT_CALL(*task_finisher_, MarkGeneratorFailedAndResubmit(task1.TaskId())).Times(1); + EXPECT_CALL(*task_manager_, MarkGeneratorFailedAndResubmit(task1.TaskId())).Times(1); worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK()); } diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index 60c91613c23f..da9f88f37932 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -23,6 +23,7 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/memory_store.h" +#include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" @@ -69,9 +70,9 @@ TaskSpecification BuildEmptyTaskSpec() { return BuildTaskSpec(empty_resources, empty_descriptor); } -class MockTaskFinisher : public TaskFinisherInterface { +class MockTaskManager : public MockTaskManagerInterface { public: - MockTaskFinisher() {} + MockTaskManager() {} void CompletePendingTask(const TaskID &, const rpc::PushTaskReply &, @@ -183,26 +184,26 @@ class MockActorCreator : public ActorCreatorInterface { TEST(LocalDependencyResolverTest, TestNoDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); TaskSpecification task; bool ok = false; resolver.ResolveDependencies(task, [&ok](Status) { ok = true; }); ASSERT_TRUE(ok); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 0); + ASSERT_EQ(task_manager->num_inlined_dependencies, 0); } TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies1) { // Actor dependency resolved first. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); TaskSpecification task; @@ -244,10 +245,10 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies1) { TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies2) { // Object dependency resolved first. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); TaskSpecification task; @@ -288,10 +289,10 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies2) { TEST(LocalDependencyResolverTest, TestHandlePlasmaPromotion) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); ObjectID obj1 = ObjectID::FromRandom(); @@ -313,15 +314,15 @@ TEST(LocalDependencyResolverTest, TestHandlePlasmaPromotion) { ASSERT_TRUE(task.ArgByRef(0)); // Checks that the object id is still a direct call id. ASSERT_EQ(resolver.NumPendingTasks(), 0); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 0); + ASSERT_EQ(task_manager->num_inlined_dependencies, 0); } TEST(LocalDependencyResolverTest, TestInlineLocalDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); ObjectID obj1 = ObjectID::FromRandom(); @@ -347,15 +348,15 @@ TEST(LocalDependencyResolverTest, TestInlineLocalDependencies) { ASSERT_NE(task.ArgData(0), nullptr); ASSERT_NE(task.ArgData(1), nullptr); ASSERT_EQ(resolver.NumPendingTasks(), 0); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 2); + ASSERT_EQ(task_manager->num_inlined_dependencies, 2); } TEST(LocalDependencyResolverTest, TestInlinePendingDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); ObjectID obj1 = ObjectID::FromRandom(); @@ -384,16 +385,16 @@ TEST(LocalDependencyResolverTest, TestInlinePendingDependencies) { ASSERT_NE(task.ArgData(0), nullptr); ASSERT_NE(task.ArgData(1), nullptr); ASSERT_EQ(resolver.NumPendingTasks(), 0); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 2); - ASSERT_EQ(task_finisher->num_contained_ids, 0); + ASSERT_EQ(task_manager->num_inlined_dependencies, 2); + ASSERT_EQ(task_manager->num_contained_ids, 0); } TEST(LocalDependencyResolverTest, TestInlinedObjectIds) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); ObjectID obj1 = ObjectID::FromRandom(); @@ -423,17 +424,17 @@ TEST(LocalDependencyResolverTest, TestInlinedObjectIds) { ASSERT_NE(task.ArgData(0), nullptr); ASSERT_NE(task.ArgData(1), nullptr); ASSERT_EQ(resolver.NumPendingTasks(), 0); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 2); - ASSERT_EQ(task_finisher->num_contained_ids, 2); + ASSERT_EQ(task_manager->num_inlined_dependencies, 2); + ASSERT_EQ(task_manager->num_contained_ids, 2); } TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { InstrumentedIOContextWithThread io_context("TestCancelDependencyResolution"); auto store = std::make_shared(io_context.GetIoService()); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); ObjectID obj1 = ObjectID::FromRandom(); @@ -454,7 +455,7 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { // Should not have inlined any dependencies. ASSERT_TRUE(task.ArgByRef(0)); ASSERT_TRUE(task.ArgByRef(1)); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 0); + ASSERT_EQ(task_manager->num_inlined_dependencies, 0); // Check for leaks. ASSERT_EQ(resolver.NumPendingTasks(), 0); @@ -465,10 +466,10 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { // called asynchronously in the event loop as a different task. TEST(LocalDependencyResolverTest, TestDependenciesAlreadyLocal) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); @@ -501,7 +502,7 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { // should be inlined and the `object_ref` field should be cleared. If it is not cleared, // there will be performance regression in some edge cases. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); - auto task_finisher = std::make_shared(); + auto task_manager = std::make_shared(); MockActorCreator actor_creator; // `obj1` is a GPU object, and `obj2` is a normal object. @@ -509,7 +510,7 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { ObjectID obj2 = ObjectID::FromRandom(); LocalDependencyResolver resolver( - *store, *task_finisher, actor_creator, [&](const ObjectID &object_id) { + *store, *task_manager, actor_creator, [&](const ObjectID &object_id) { if (object_id == obj1) { return rpc::TensorTransport::NCCL; } @@ -536,7 +537,7 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { ASSERT_TRUE(task.GetMutableMessage().args(1).is_inlined()); ASSERT_FALSE(task.GetMutableMessage().args(1).has_object_ref()); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 2); + ASSERT_EQ(task_manager->num_inlined_dependencies, 2); ASSERT_EQ(resolver.NumPendingTasks(), 0); } diff --git a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc index 305817bae202..bd149d908420 100644 --- a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc +++ b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc @@ -20,7 +20,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/core_worker/actor_creator.h" -#include "mock/ray/core_worker/task_manager.h" +#include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "mock/ray/core_worker/reference_count.h" #include "mock/ray/core_worker/memory_store.h" @@ -39,7 +39,7 @@ class DirectTaskTransportTest : public ::testing::Test { gcs_client = std::make_shared(); actor_creator = std::make_unique(gcs_client); - task_finisher = std::make_shared(); + task_manager = std::make_shared(); client_pool = std::make_shared( [&](const rpc::Address &) { return nullptr; }); memory_store = DefaultCoreWorkerMemoryStoreWithThread::Create(); @@ -47,7 +47,7 @@ class DirectTaskTransportTest : public ::testing::Test { actor_task_submitter = std::make_unique( *client_pool, *memory_store, - *task_finisher, + *task_manager, *actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, nullptr, @@ -86,7 +86,7 @@ class DirectTaskTransportTest : public ::testing::Test { std::unique_ptr actor_task_submitter; std::shared_ptr client_pool; std::unique_ptr memory_store; - std::shared_ptr task_finisher; + std::shared_ptr task_manager; std::unique_ptr actor_creator; std::shared_ptr gcs_client; std::shared_ptr reference_counter; @@ -95,7 +95,7 @@ class DirectTaskTransportTest : public ::testing::Test { TEST_F(DirectTaskTransportTest, ActorCreationOk) { auto actor_id = ActorID::FromHex("f4ce02420592ca68c1738a0d01000000"); auto creation_task_spec = GetActorCreationTaskSpec(actor_id); - EXPECT_CALL(*task_finisher, CompletePendingTask(creation_task_spec.TaskId(), _, _, _)); + EXPECT_CALL(*task_manager, CompletePendingTask(creation_task_spec.TaskId(), _, _, _)); rpc::ClientCallback create_cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncCreateActor(creation_task_spec, ::testing::_)) @@ -108,9 +108,9 @@ TEST_F(DirectTaskTransportTest, ActorCreationOk) { TEST_F(DirectTaskTransportTest, ActorCreationFail) { auto actor_id = ActorID::FromHex("f4ce02420592ca68c1738a0d01000000"); auto creation_task_spec = GetActorCreationTaskSpec(actor_id); - EXPECT_CALL(*task_finisher, CompletePendingTask(_, _, _, _)).Times(0); + EXPECT_CALL(*task_manager, CompletePendingTask(_, _, _, _)).Times(0); EXPECT_CALL( - *task_finisher, + *task_manager, FailPendingTask( creation_task_spec.TaskId(), rpc::ErrorType::ACTOR_CREATION_FAILED, _, _)); rpc::ClientCallback create_cb; @@ -145,7 +145,7 @@ TEST_F(DirectTaskTransportTest, ActorRegisterFailure) { /*owned*/ false); ASSERT_TRUE(CheckSubmitTask(task_spec)); EXPECT_CALL( - *task_finisher, + *task_manager, FailOrRetryPendingTask( task_spec.TaskId(), rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, _, _, _, _)); register_cb(Status::IOError("")); @@ -173,7 +173,7 @@ TEST_F(DirectTaskTransportTest, ActorRegisterOk) { /*fail_if_actor_unreachable*/ true, /*owned*/ false); ASSERT_TRUE(CheckSubmitTask(task_spec)); - EXPECT_CALL(*task_finisher, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); + EXPECT_CALL(*task_manager, FailOrRetryPendingTask(_, _, _, _, _, _)).Times(0); register_cb(Status::OK()); } diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index 89b7913ae76e..5b90eccfe69f 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -24,6 +24,7 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/memory_store.h" +#include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" @@ -147,9 +148,9 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { std::list> cancel_callbacks; }; -class MockTaskFinisher : public TaskFinisherInterface { +class MockTaskManager : public MockTaskManagerInterface { public: - MockTaskFinisher() {} + MockTaskManager() {} void CompletePendingTask(const TaskID &, const rpc::PushTaskReply &, @@ -478,7 +479,7 @@ TEST(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -490,7 +491,7 @@ TEST(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -510,15 +511,15 @@ TEST(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_EQ(worker_client->callbacks.size(), 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); - ASSERT_EQ(task_finisher->num_task_retries_attempted, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_task_retries_attempted, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -534,7 +535,7 @@ TEST(NormalTaskSubmitterTest, TestSubmitOneTask) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -545,7 +546,7 @@ TEST(NormalTaskSubmitterTest, TestSubmitOneTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -565,15 +566,15 @@ TEST(NormalTaskSubmitterTest, TestSubmitOneTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_EQ(worker_client->callbacks.size(), 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); - ASSERT_EQ(task_finisher->num_task_retries_attempted, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_task_retries_attempted, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -589,7 +590,7 @@ TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -599,7 +600,7 @@ TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -616,9 +617,9 @@ TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_task_retries_attempted, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_task_retries_attempted, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -630,9 +631,9 @@ TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); ASSERT_EQ(raylet_client->num_workers_returned, 2); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 2); - ASSERT_EQ(task_finisher->num_task_retries_attempted, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 2); + ASSERT_EQ(task_manager->num_task_retries_attempted, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -648,7 +649,7 @@ TEST(NormalTaskSubmitterTest, TestHandleTaskFailure) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -658,7 +659,7 @@ TEST(NormalTaskSubmitterTest, TestHandleTaskFailure) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -676,8 +677,8 @@ TEST(NormalTaskSubmitterTest, TestHandleTaskFailure) { ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); ASSERT_EQ(raylet_client->num_get_task_failure_causes, 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 1); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -693,7 +694,7 @@ TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -704,7 +705,7 @@ TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -737,7 +738,7 @@ TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { /*failure_type=*/ rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE)); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Fail task2 @@ -751,7 +752,7 @@ TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { /*failure_type=*/ rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE)); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These @@ -766,7 +767,7 @@ TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -777,7 +778,7 @@ TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -810,7 +811,7 @@ TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { /*failure_type=*/ rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_RUNTIME_ENV_SETUP_FAILED)); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Fail task2 @@ -824,7 +825,7 @@ TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { /*failure_type=*/ rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_RUNTIME_ENV_SETUP_FAILED)); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These @@ -839,7 +840,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerHandleLocalRayletDied) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -849,7 +850,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerHandleLocalRayletDied) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -870,7 +871,7 @@ TEST(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -881,7 +882,7 @@ TEST(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::DRIVER, kLongTimeout, @@ -906,13 +907,13 @@ TEST(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { // Fail task1 which will fail all the tasks ASSERT_TRUE(raylet_client->FailWorkerLeaseDueToGrpcUnavailable()); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Fail task2 ASSERT_TRUE(raylet_client->FailWorkerLeaseDueToGrpcUnavailable()); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 3); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These @@ -927,7 +928,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -941,7 +942,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -990,8 +991,8 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { } ASSERT_EQ(raylet_client->num_workers_returned, tasks.size()); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, tasks.size()); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, tasks.size()); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_EQ(raylet_client->reported_backlog_size, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1008,7 +1009,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -1022,7 +1023,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1097,8 +1098,8 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { } ASSERT_EQ(raylet_client->num_workers_returned, tasks.size()); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, tasks.size()); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, tasks.size()); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_EQ(raylet_client->reported_backlog_size, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1115,7 +1116,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_client_factory = [&](const std::string &ip, int port) { return raylet_client; @@ -1132,7 +1133,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { lease_client_factory, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1210,8 +1211,8 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { } ASSERT_EQ(raylet_client->num_workers_returned, tasks.size()); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, tasks.size()); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, tasks.size()); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_EQ(raylet_client->reported_backlog_size, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1228,7 +1229,7 @@ TEST(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -1239,7 +1240,7 @@ TEST(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1285,8 +1286,8 @@ TEST(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { } ASSERT_EQ(raylet_client->num_workers_returned, 3); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 3); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 3); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_EQ(raylet_client->reported_backlog_size, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1303,7 +1304,7 @@ TEST(NormalTaskSubmitterTest, TestReuseWorkerLease) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -1314,7 +1315,7 @@ TEST(NormalTaskSubmitterTest, TestReuseWorkerLease) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1362,8 +1363,8 @@ TEST(NormalTaskSubmitterTest, TestReuseWorkerLease) { ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_returned, 2); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 3); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 3); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 1); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1379,7 +1380,7 @@ TEST(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1389,7 +1390,7 @@ TEST(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1434,8 +1435,8 @@ TEST(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { // The canceled lease is not returned. ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 3); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 3); + ASSERT_EQ(task_manager->num_tasks_failed, 0); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These // would otherwise cause a memory leak. @@ -1449,7 +1450,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1459,7 +1460,7 @@ TEST(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1516,7 +1517,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1526,7 +1527,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1557,8 +1558,8 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 1); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1574,7 +1575,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1584,7 +1585,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1606,8 +1607,8 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_returned_exiting, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1632,7 +1633,7 @@ TEST(NormalTaskSubmitterTest, TestSpillback) { remote_lease_clients[port] = client; return client; }; - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); auto *lease_policy_ptr = lease_policy.get(); @@ -1643,7 +1644,7 @@ TEST(NormalTaskSubmitterTest, TestSpillback) { lease_client_factory, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1678,8 +1679,8 @@ TEST(NormalTaskSubmitterTest, TestSpillback) { ASSERT_EQ(remote_lease_clients[7777]->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); ASSERT_EQ(remote_lease_clients[7777]->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); for (const auto &remote_client : remote_lease_clients) { @@ -1708,7 +1709,7 @@ TEST(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { remote_lease_clients[port] = client; return client; }; - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto local_raylet_id = NodeID::FromRandom(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(local_raylet_id); @@ -1720,7 +1721,7 @@ TEST(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { lease_client_factory, std::move(lease_policy), store, - *task_finisher, + *task_manager, local_raylet_id, WorkerType::WORKER, kLongTimeout, @@ -1765,8 +1766,8 @@ TEST(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { ASSERT_EQ(remote_lease_clients[7777]->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); ASSERT_EQ(remote_lease_clients[7777]->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); for (const auto &remote_client : remote_lease_clients) { @@ -1790,7 +1791,7 @@ void TestSchedulingKey(const std::shared_ptr store, auto worker_client = std::make_shared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1800,7 +1801,7 @@ void TestSchedulingKey(const std::shared_ptr store, nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -1950,7 +1951,7 @@ TEST(NormalTaskSubmitterTest, TestBacklogReport) { auto store = std::make_shared(io_context.GetIoService()); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -1960,7 +1961,7 @@ TEST(NormalTaskSubmitterTest, TestBacklogReport) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2029,7 +2030,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2039,7 +2040,7 @@ TEST(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, /*lease_timeout_ms=*/5, @@ -2098,7 +2099,7 @@ TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2108,7 +2109,7 @@ TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2129,8 +2130,8 @@ TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_returned_exiting, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 1); task.GetMutableMessage().set_task_id( TaskID::ForNormalTask(JobID::Nil(), TaskID::Nil(), 1).Binary()); @@ -2145,8 +2146,8 @@ TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_returned_exiting, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 1); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These // would otherwise cause a memory leak. @@ -2160,7 +2161,7 @@ TEST(NormalTaskSubmitterTest, TestKillPendingTask) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2170,7 +2171,7 @@ TEST(NormalTaskSubmitterTest, TestKillPendingTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2186,9 +2187,9 @@ TEST(NormalTaskSubmitterTest, TestKillPendingTask) { ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); - ASSERT_EQ(task_finisher->num_fail_pending_task_calls, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 1); ASSERT_EQ(raylet_client->num_leases_canceled, 1); ASSERT_TRUE(raylet_client->ReplyCancelWorkerLease()); @@ -2207,7 +2208,7 @@ TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2217,7 +2218,7 @@ TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2229,7 +2230,7 @@ TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { ObjectID obj1 = ObjectID::FromRandom(); task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); ASSERT_TRUE(submitter.SubmitTask(task).ok()); - ASSERT_EQ(task_finisher->num_inlined_dependencies, 0); + ASSERT_EQ(task_manager->num_inlined_dependencies, 0); ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); auto data = GenerateRandomObject(); ASSERT_TRUE(store->Put(*data, obj1)); @@ -2238,8 +2239,8 @@ TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 1); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These // would otherwise cause a memory leak. @@ -2253,7 +2254,7 @@ TEST(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2263,7 +2264,7 @@ TEST(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2278,9 +2279,9 @@ TEST(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task)); ASSERT_TRUE(worker_client->ReplyPushTask()); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 0); - ASSERT_EQ(task_finisher->num_generator_failed_and_resubmitted, 1); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 0); + ASSERT_EQ(task_manager->num_generator_failed_and_resubmitted, 1); } TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { @@ -2290,7 +2291,7 @@ TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); - auto task_finisher = std::make_unique(); + auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); NormalTaskSubmitter submitter( @@ -2300,7 +2301,7 @@ TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { nullptr, std::move(lease_policy), store, - *task_finisher, + *task_manager, NodeID::Nil(), WorkerType::WORKER, kLongTimeout, @@ -2322,9 +2323,9 @@ TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { /*exit=*/false, /*is_retryable_error=*/false, /*was_cancelled_before_running=*/true)); - ASSERT_EQ(task_finisher->num_tasks_complete, 0); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); - ASSERT_EQ(task_finisher->num_generator_failed_and_resubmitted, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 0); + ASSERT_EQ(task_manager->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_generator_failed_and_resubmitted, 0); // Succesful queue generator for resubmit -> cancel -> successful execution -> no // resubmit. @@ -2337,9 +2338,9 @@ TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { worker_client->ReplyCancelTask(Status::OK(), /*attempt_succeeded=*/true, /*requested_task_running=*/false); - ASSERT_EQ(task_finisher->num_tasks_complete, 1); - ASSERT_EQ(task_finisher->num_tasks_failed, 1); - ASSERT_EQ(task_finisher->num_generator_failed_and_resubmitted, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 1); + ASSERT_EQ(task_manager->num_tasks_failed, 1); + ASSERT_EQ(task_manager->num_generator_failed_and_resubmitted, 0); } TEST(LeaseRequestRateLimiterTest, StaticLeaseRequestRateLimiter) { diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index 7f966834595b..d849964e159c 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -22,6 +22,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" +#include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/pubsub/subscriber.h" #include "ray/common/task/task_spec.h" @@ -39,9 +40,9 @@ namespace core { // overhead for the very simple timeout logic we currently have. int64_t kLongTimeout = 1024 * 1024 * 1024; -class MockTaskResubmitter : public TaskResubmissionInterface { +class MockTaskManager : public MockTaskManagerInterface { public: - MockTaskResubmitter() {} + MockTaskManager() {} void AddTask(const TaskID &task_id, std::vector task_deps) { task_specs[task_id] = task_deps; @@ -128,7 +129,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { memory_store_( std::make_shared(io_context_.GetIoService())), raylet_client_(std::make_shared()), - task_resubmitter_(std::make_shared()), + task_manager_(std::make_shared()), ref_counter_(std::make_shared( rpc::Address(), publisher_.get(), @@ -143,7 +144,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { object_directory_->AsyncGetLocations(object_id, callback); return Status::OK(); }, - *task_resubmitter_, + *task_manager_, *ref_counter_, *memory_store_, [&](const ObjectID &object_id, rpc::ErrorType reason, bool pin_object) { @@ -180,7 +181,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { std::shared_ptr object_directory_; std::shared_ptr memory_store_; std::shared_ptr raylet_client_; - std::shared_ptr task_resubmitter_; + std::shared_ptr task_manager_; std::shared_ptr ref_counter_; ObjectRecoveryManager manager_; }; @@ -209,19 +210,19 @@ TEST_F(ObjectRecoveryLineageDisabledTest, TestNoReconstruction) { ASSERT_TRUE(failed_reconstructions_.empty()); ASSERT_EQ(object_directory_->Flush(), 1); ASSERT_EQ(failed_reconstructions_[object_id], rpc::ErrorType::OBJECT_LOST); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); // Borrowed object. object_id = ObjectID::FromRandom(); ref_counter_->AddLocalReference(object_id, ""); ASSERT_FALSE(manager_.RecoverObject(object_id)); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); // Ref went out of scope. object_id = ObjectID::FromRandom(); ASSERT_FALSE(manager_.RecoverObject(object_id)); ASSERT_EQ(failed_reconstructions_.count(object_id), 0); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); } TEST_F(ObjectRecoveryLineageDisabledTest, TestPinNewCopy) { @@ -240,7 +241,7 @@ TEST_F(ObjectRecoveryLineageDisabledTest, TestPinNewCopy) { ASSERT_EQ(object_directory_->Flush(), 1); ASSERT_EQ(raylet_client_->Flush(), 1); ASSERT_TRUE(failed_reconstructions_.empty()); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); } TEST_F(ObjectRecoveryManagerTest, TestPinNewCopy) { @@ -262,7 +263,7 @@ TEST_F(ObjectRecoveryManagerTest, TestPinNewCopy) { // Second copy is present so pin succeeds. ASSERT_EQ(raylet_client_->Flush(true), 1); ASSERT_TRUE(failed_reconstructions_.empty()); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); } TEST_F(ObjectRecoveryManagerTest, TestReconstruction) { @@ -274,14 +275,14 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstruction) { 0, true, /*add_local_ref=*/true); - task_resubmitter_->AddTask(object_id.TaskId(), {}); + task_manager_->AddTask(object_id.TaskId(), {}); ASSERT_TRUE(manager_.RecoverObject(object_id)); ASSERT_TRUE(ref_counter_->IsObjectPendingCreation(object_id)); ASSERT_EQ(object_directory_->Flush(), 1); ASSERT_TRUE(failed_reconstructions_.empty()); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 1); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 1); } TEST_F(ObjectRecoveryManagerTest, TestReconstructionSuppression) { @@ -335,7 +336,7 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstructionChain) { 0, true, /*add_local_ref=*/true); - task_resubmitter_->AddTask(object_id.TaskId(), dependencies); + task_manager_->AddTask(object_id.TaskId(), dependencies); dependencies = {object_id}; object_ids.push_back(object_id); } @@ -345,7 +346,7 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstructionChain) { RAY_LOG(INFO) << i; ASSERT_EQ(object_directory_->Flush(), 1); ASSERT_TRUE(failed_reconstructions_.empty()); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, i + 1); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, i + 1); } } @@ -364,7 +365,7 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstructionFails) { ASSERT_TRUE(failed_reconstructions_[object_id] == rpc::ErrorType::OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); } TEST_F(ObjectRecoveryManagerTest, TestDependencyReconstructionFails) { @@ -385,7 +386,7 @@ TEST_F(ObjectRecoveryManagerTest, TestDependencyReconstructionFails) { 0, true, /*add_local_ref=*/true); - task_resubmitter_->AddTask(object_id.TaskId(), {dep_id}); + task_manager_->AddTask(object_id.TaskId(), {dep_id}); RAY_LOG(INFO) << object_id; ASSERT_TRUE(manager_.RecoverObject(object_id)); @@ -395,7 +396,7 @@ TEST_F(ObjectRecoveryManagerTest, TestDependencyReconstructionFails) { ASSERT_EQ(failed_reconstructions_[dep_id], rpc::ErrorType::OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED); ASSERT_EQ(failed_reconstructions_.count(object_id), 0); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 1); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 1); } TEST_F(ObjectRecoveryManagerTest, TestLineageEvicted) { @@ -434,7 +435,7 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstructionSkipped) { ASSERT_TRUE(failed_reconstructions_.empty()); ASSERT_EQ(object_directory_->Flush(), 0); ASSERT_EQ(raylet_client_->Flush(), 0); - ASSERT_EQ(task_resubmitter_->num_tasks_resubmitted, 0); + ASSERT_EQ(task_manager_->num_tasks_resubmitted, 0); // The object should be added back to the memory store // indicating the object is available again. bool in_plasma = false; diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index e6c4a9ea6675..04d7b6553178 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -101,11 +101,11 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) // outside of this closure). const auto actor_id = task_spec.ActorCreationId(); const auto task_id = task_spec.TaskId(); - task_finisher_.MarkDependenciesResolved(task_id); + task_manager_.MarkDependenciesResolved(task_id); if (!status.ok()) { RAY_LOG(WARNING).WithField(actor_id).WithField(task_id) << "Resolving actor creation task dependencies failed " << status; - RAY_UNUSED(task_finisher_.FailOrRetryPendingTask( + RAY_UNUSED(task_manager_.FailOrRetryPendingTask( task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status)); return; } @@ -133,7 +133,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) } // NOTE: When actor creation task failed we will not retry the creation // task so just marking the task fails. - task_finisher_.CompletePendingTask( + task_manager_.CompletePendingTask( task_id, push_task_reply, reply.actor_address(), @@ -144,7 +144,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) if (status.IsSchedulingCancelled()) { RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Actor creation cancelled"; - task_finisher_.MarkTaskCanceled(task_id); + task_manager_.MarkTaskCanceled(task_id); if (reply.has_death_cause()) { ray_error_info.mutable_actor_died_error()->CopyFrom(reply.death_cause()); } @@ -155,7 +155,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) // Actor creation task retry happens in GCS // and transient rpc errors are retried in gcs client // so we don't need to retry here. - RAY_UNUSED(task_finisher_.FailPendingTask( + RAY_UNUSED(task_manager_.FailPendingTask( task_id, rpc::ErrorType::ACTOR_CREATION_FAILED, &status, @@ -204,7 +204,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { auto task_id = task_spec.TaskId(); resolver_.ResolveDependencies( task_spec, [this, send_pos, actor_id, task_id](Status status) { - task_finisher_.MarkDependenciesResolved(task_id); + task_manager_.MarkDependenciesResolved(task_id); auto fail_or_retry_task = TaskID::Nil(); { absl::MutexLock lock(&mu_); @@ -226,15 +226,15 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } if (!fail_or_retry_task.IsNil()) { - GetTaskFinisherWithoutMu().FailOrRetryPendingTask( + GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); } }); }, "ActorTaskSubmitter::SubmitTask"); } else { - // Do not hold the lock while calling into task_finisher_. - task_finisher_.MarkTaskCanceled(task_id); + // Do not hold the lock while calling into task_manager_. + task_manager_.MarkTaskCanceled(task_id); rpc::ErrorType error_type; rpc::RayErrorInfo error_info; { @@ -251,12 +251,12 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && error_info.actor_died_error().oom_context().fail_immediately(); - GetTaskFinisherWithoutMu().FailOrRetryPendingTask(task_id, - error_type, - &status, - &error_info, - /*mark_task_object_failed*/ true, - fail_immediately); + GetTaskManagerWithoutMu().FailOrRetryPendingTask(task_id, + error_type, + &status, + &error_info, + /*mark_task_object_failed*/ true, + fail_immediately); } // If the task submission subsequently fails, then the client will receive @@ -274,7 +274,7 @@ void ActorTaskSubmitter::FailInflightTasksOnRestart( const absl::flat_hash_map> &inflight_task_callbacks) { // NOTE(kfstorm): We invoke the callbacks with a bad status to act like there's a - // network issue. We don't call `task_finisher_.FailOrRetryPendingTask` directly because + // network issue. We don't call `task_manager_.FailOrRetryPendingTask` directly because // there's much more work to do in the callback. auto status = Status::IOError("The actor was restarted"); for (const auto &[_, callback] : inflight_task_callbacks) { @@ -442,7 +442,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, for (auto &task_id : task_ids_to_fail) { // No need to increment the number of completed tasks since the actor is // dead. - task_finisher_.MarkTaskCanceled(task_id); + task_manager_.MarkTaskCanceled(task_id); // This task may have been waiting for dependency resolution, so cancel // this first. resolver_.CancelDependencyResolution(task_id); @@ -450,18 +450,18 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && error_info.actor_died_error().oom_context().fail_immediately(); - GetTaskFinisherWithoutMu().FailOrRetryPendingTask(task_id, - error_type, - &status, - &error_info, - /*mark_task_object_failed*/ true, - fail_immediatedly); + GetTaskManagerWithoutMu().FailOrRetryPendingTask(task_id, + error_type, + &status, + &error_info, + /*mark_task_object_failed*/ true, + fail_immediatedly); } if (!wait_for_death_info_tasks.empty()) { RAY_LOG(DEBUG).WithField(actor_id) << "Failing tasks waiting for death info, size=" << wait_for_death_info_tasks.size(); for (auto &task : wait_for_death_info_tasks) { - GetTaskFinisherWithoutMu().FailPendingTask( + GetTaskManagerWithoutMu().FailPendingTask( task->task_spec.TaskId(), error_type, &task->status, &error_info); } } @@ -489,7 +489,7 @@ void ActorTaskSubmitter::FailTaskWithError(const PendingTaskWaitingForDeathInfo error_info.set_error_type(rpc::ErrorType::ACTOR_DIED); error_info.set_error_message("Actor died by preemption."); } - GetTaskFinisherWithoutMu().FailPendingTask( + GetTaskManagerWithoutMu().FailPendingTask( task.task_spec.TaskId(), error_info.error_type(), &task.status, &error_info); } @@ -621,9 +621,9 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, reply_callback(status, std::move(reply)); }; - task_finisher_.MarkTaskWaitingForExecution(task_id, - NodeID::FromBinary(addr.raylet_id()), - WorkerID::FromBinary(addr.worker_id())); + task_manager_.MarkTaskWaitingForExecution(task_id, + NodeID::FromBinary(addr.raylet_id()), + WorkerID::FromBinary(addr.worker_id())); queue.rpc_client->PushActorTask( std::move(request), skip_queue, std::move(wrapped_callback)); } @@ -649,7 +649,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, } } if (resubmit_generator) { - GetTaskFinisherWithoutMu().MarkGeneratorFailedAndResubmit(task_id); + GetTaskManagerWithoutMu().MarkGeneratorFailedAndResubmit(task_id); return; } @@ -660,8 +660,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, if (status.ok() && !is_retryable_exception) { // status.ok() means the worker completed the reply, either succeeded or with a // retryable failure (e.g. user exceptions). We complete only on non-retryable case. - task_finisher_.CompletePendingTask( - task_id, reply, addr, reply.is_application_error()); + task_manager_.CompletePendingTask(task_id, reply, addr, reply.is_application_error()); } else if (status.IsSchedulingCancelled()) { std::ostringstream stream; stream << "The task " << task_id << " is canceled from an actor " << actor_id @@ -671,10 +670,10 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, rpc::RayErrorInfo error_info; error_info.set_error_message(msg); error_info.set_error_type(rpc::ErrorType::TASK_CANCELLED); - GetTaskFinisherWithoutMu().FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED, - /*status*/ nullptr, - &error_info); + GetTaskManagerWithoutMu().FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::TASK_CANCELLED, + /*status*/ nullptr, + &error_info); } else { bool is_actor_dead = false; bool fail_immediately = false; @@ -720,7 +719,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // this first. resolver_.CancelDependencyResolution(task_id); - will_retry = GetTaskFinisherWithoutMu().FailOrRetryPendingTask( + will_retry = GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, error_info.error_type(), &status, @@ -733,7 +732,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // last failure = user exception, just complete it with failure. RAY_CHECK(reply.is_retryable_error()); - GetTaskFinisherWithoutMu().CompletePendingTask( + GetTaskManagerWithoutMu().CompletePendingTask( task_id, reply, addr, reply.is_application_error()); } else if (RayConfig::instance().timeout_ms_task_wait_for_death_info() != 0) { @@ -762,7 +761,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto queue_pair = client_queues_.find(actor_id); RAY_CHECK(queue_pair != client_queues_.end()); } - GetTaskFinisherWithoutMu().FailPendingTask( + GetTaskManagerWithoutMu().FailPendingTask( task_spec.TaskId(), error_info.error_type(), &status, &error_info); } } @@ -872,10 +871,10 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv const auto &task_id = task_spec.TaskId(); auto send_pos = task_spec.SequenceNumber(); - // Shouldn't hold a lock while accessing task_finisher_. + // Shouldn't hold a lock while accessing task_manager_. // Task is already canceled or finished. - GetTaskFinisherWithoutMu().MarkTaskCanceled(task_id); - if (!GetTaskFinisherWithoutMu().IsTaskPending(task_id)) { + GetTaskManagerWithoutMu().MarkTaskCanceled(task_id); + if (!GetTaskManagerWithoutMu().IsTaskPending(task_id)) { RAY_LOG(DEBUG).WithField(task_id) << "Task is already finished or canceled"; return Status::OK(); } @@ -919,7 +918,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv << " before it executes."; error_info.set_error_message(stream.str()); error_info.set_error_type(rpc::ErrorType::TASK_CANCELLED); - GetTaskFinisherWithoutMu().FailOrRetryPendingTask( + GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, rpc::ErrorType::TASK_CANCELLED, /*status*/ nullptr, &error_info); return Status::OK(); } @@ -957,7 +956,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv // Keep retrying every 2 seconds until a task is officially // finished. - if (!GetTaskFinisherWithoutMu().GetTaskSpec(task_id)) { + if (!GetTaskManagerWithoutMu().GetTaskSpec(task_id)) { // Task is already finished. RAY_LOG(DEBUG).WithField(task_spec.TaskId()) << "Task is finished. Stop a cancel request."; diff --git a/src/ray/core_worker/transport/actor_task_submitter.h b/src/ray/core_worker/transport/actor_task_submitter.h index 94bc31813292..a4d6fcd86218 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.h +++ b/src/ray/core_worker/transport/actor_task_submitter.h @@ -76,7 +76,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { public: ActorTaskSubmitter(rpc::CoreWorkerClientPool &core_worker_client_pool, CoreWorkerMemoryStore &store, - TaskFinisherInterface &task_finisher, + TaskManagerInterface &task_manager, ActorCreatorInterface &actor_creator, const TensorTransportGetter &tensor_transport_getter, std::function warn_excess_queueing, @@ -84,8 +84,8 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { std::shared_ptr reference_counter) : core_worker_client_pool_(core_worker_client_pool), actor_creator_(actor_creator), - resolver_(store, task_finisher, actor_creator, tensor_transport_getter), - task_finisher_(task_finisher), + resolver_(store, task_manager, actor_creator, tensor_transport_getter), + task_manager_(task_manager), warn_excess_queueing_(warn_excess_queueing), io_service_(io_service), reference_counter_(reference_counter) { @@ -272,13 +272,13 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { status(std::move(status)), timeout_error_info(std::move(timeout_error_info)) {} }; - /// A helper function to get task finisher without holding mu_ + /// A helper function to get task manager without holding mu_ /// We should use this function when access /// - FailOrRetryPendingTask /// - FailPendingTask - TaskFinisherInterface &GetTaskFinisherWithoutMu() { + TaskManagerInterface &GetTaskManagerWithoutMu() { mu_.AssertNotHeld(); - return task_finisher_; + return task_manager_; } struct ClientQueue { @@ -437,7 +437,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { LocalDependencyResolver resolver_; /// Used to complete tasks. - TaskFinisherInterface &task_finisher_; + TaskManagerInterface &task_manager_; /// Used to warn of excessive queueing. std::function warn_excess_queueing_; diff --git a/src/ray/core_worker/transport/dependency_resolver.cc b/src/ray/core_worker/transport/dependency_resolver.cc index c03223aea3e6..82cc757c78e8 100644 --- a/src/ray/core_worker/transport/dependency_resolver.cc +++ b/src/ray/core_worker/transport/dependency_resolver.cc @@ -156,8 +156,8 @@ void LocalDependencyResolver::ResolveDependencies( } if (!inlined_dependency_ids.empty()) { - task_finisher_.OnTaskDependenciesInlined(inlined_dependency_ids, - contained_ids); + task_manager_.OnTaskDependenciesInlined(inlined_dependency_ids, + contained_ids); } if (resolved_task_state) { resolved_task_state->on_dependencies_resolved(resolved_task_state->status); diff --git a/src/ray/core_worker/transport/dependency_resolver.h b/src/ray/core_worker/transport/dependency_resolver.h index 6eab2c30ba5a..085133563df9 100644 --- a/src/ray/core_worker/transport/dependency_resolver.h +++ b/src/ray/core_worker/transport/dependency_resolver.h @@ -23,7 +23,7 @@ #include "ray/common/task/task_spec.h" #include "ray/core_worker/actor_creator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/task_finisher.h" +#include "ray/core_worker/task_manager_interface.h" namespace ray { namespace core { @@ -35,11 +35,11 @@ using TensorTransportGetter = class LocalDependencyResolver { public: LocalDependencyResolver(CoreWorkerMemoryStore &store, - TaskFinisherInterface &task_finisher, + TaskManagerInterface &task_manager, ActorCreatorInterface &actor_creator, const TensorTransportGetter &tensor_transport_getter) : in_memory_store_(store), - task_finisher_(task_finisher), + task_manager_(task_manager), actor_creator_(actor_creator), tensor_transport_getter_(tensor_transport_getter) {} @@ -105,7 +105,7 @@ class LocalDependencyResolver { CoreWorkerMemoryStore &in_memory_store_; /// Used to complete tasks. - TaskFinisherInterface &task_finisher_; + TaskManagerInterface &task_manager_; ActorCreatorInterface &actor_creator_; diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 28b7f3d0a2ce..55d17c674a70 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -34,10 +34,10 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { // NOTE: task_spec here is capture copied (from a stack variable) and also // mutable. (Mutations to the variable are expected to be shared inside and // outside of this closure). - task_finisher_.MarkDependenciesResolved(task_spec.TaskId()); + task_manager_.MarkDependenciesResolved(task_spec.TaskId()); if (!status.ok()) { RAY_LOG(WARNING) << "Resolving task dependencies failed " << status.ToString(); - RAY_UNUSED(task_finisher_.FailOrRetryPendingTask( + RAY_UNUSED(task_manager_.FailOrRetryPendingTask( task_spec.TaskId(), rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status)); return; } @@ -517,12 +517,12 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli auto &task_spec = tasks_to_fail.front(); if (task_spec.IsActorCreationTask() && error_type == rpc::ErrorType::TASK_PLACEMENT_GROUP_REMOVED) { - task_finisher_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::ACTOR_PLACEMENT_GROUP_REMOVED, - &error_status, - &error_info); + task_manager_.FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::ACTOR_PLACEMENT_GROUP_REMOVED, + &error_status, + &error_info); } else { - task_finisher_.FailPendingTask( + task_manager_.FailPendingTask( task_spec.TaskId(), error_type, &error_status, &error_info); } tasks_to_fail.pop_front(); @@ -562,9 +562,9 @@ void NormalTaskSubmitter::PushNormalTask( request->mutable_task_spec()->CopyFrom(task_spec.GetMessage()); request->mutable_resource_mapping()->CopyFrom(assigned_resources); request->set_intended_worker_id(addr.worker_id()); - task_finisher_.MarkTaskWaitingForExecution(task_id, - NodeID::FromBinary(addr.raylet_id()), - WorkerID::FromBinary(addr.worker_id())); + task_manager_.MarkTaskWaitingForExecution(task_id, + NodeID::FromBinary(addr.raylet_id()), + WorkerID::FromBinary(addr.worker_id())); client->PushNormalTask( std::move(request), [this, @@ -630,18 +630,18 @@ void NormalTaskSubmitter::PushNormalTask( if (reply.was_cancelled_before_running()) { RAY_LOG(DEBUG) << "Task " << task_id << " was cancelled before it started running."; - task_finisher_.FailPendingTask(task_id, rpc::ErrorType::TASK_CANCELLED); + task_manager_.FailPendingTask(task_id, rpc::ErrorType::TASK_CANCELLED); } else if (resubmit_generator) { // If the generator was queued up for resubmission for object recovery, // resubmit as long as we get a valid reply. - task_finisher_.MarkGeneratorFailedAndResubmit(task_id); + task_manager_.MarkGeneratorFailedAndResubmit(task_id); } else if (!task_spec.GetMessage().retry_exceptions() || !reply.is_retryable_error() || - !task_finisher_.RetryTaskIfPossible( + !task_manager_.RetryTaskIfPossible( task_id, gcs::GetRayErrorInfo(rpc::ErrorType::TASK_EXECUTION_EXCEPTION, reply.task_execution_error()))) { - task_finisher_.CompletePendingTask( + task_manager_.CompletePendingTask( task_id, reply, addr, reply.is_application_error()); } } @@ -691,12 +691,12 @@ void NormalTaskSubmitter::HandleGetTaskFailureCause( error_info->set_error_message(buffer.str()); error_info->set_error_type(rpc::ErrorType::NODE_DIED); } - RAY_UNUSED(task_finisher_.FailOrRetryPendingTask(task_id, - task_error_type, - &task_execution_status, - error_info.get(), - /*mark_task_object_failed*/ true, - fail_immediately)); + RAY_UNUSED(task_manager_.FailOrRetryPendingTask(task_id, + task_error_type, + &task_execution_status, + error_info.get(), + /*mark_task_object_failed*/ true, + fail_immediately)); } Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, @@ -720,8 +720,8 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, return Status::OK(); } - task_finisher_.MarkTaskCanceled(task_id); - if (!task_finisher_.IsTaskPending(task_id)) { + task_manager_.MarkTaskCanceled(task_id); + if (!task_manager_.IsTaskPending(task_id)) { // The task is finished or failed so marking the task as cancelled is sufficient. return Status::OK(); } @@ -735,8 +735,8 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, if (spec->TaskId() == task_spec.TaskId()) { scheduling_tasks.erase(spec); CancelWorkerLeaseIfNeeded(scheduling_key); - task_finisher_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED); + task_manager_.FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::TASK_CANCELLED); return Status::OK(); } } @@ -750,8 +750,8 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, if (rpc_client == executing_tasks_.end()) { // This case is reached for tasks that have unresolved dependencies. resolver_.CancelDependencyResolution(task_spec.TaskId()); - RAY_UNUSED(task_finisher_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED)); + RAY_UNUSED(task_manager_.FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::TASK_CANCELLED)); if (scheduling_key_entry.CanDelete()) { // We can safely remove the entry keyed by scheduling_key from the // scheduling_key_entries_ hashmap. diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index 6407ea11cbed..317315d58cb1 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -85,7 +85,7 @@ class NormalTaskSubmitter { LeaseClientFactoryFn lease_client_factory, std::unique_ptr lease_policy, std::shared_ptr store, - TaskFinisherInterface &task_finisher, + TaskManagerInterface &task_manager, NodeID local_raylet_id, WorkerType worker_type, int64_t lease_timeout_ms, @@ -98,8 +98,8 @@ class NormalTaskSubmitter { local_lease_client_(std::move(lease_client)), lease_client_factory_(std::move(lease_client_factory)), lease_policy_(std::move(lease_policy)), - resolver_(*store, task_finisher, *actor_creator, tensor_transport_getter), - task_finisher_(task_finisher), + resolver_(*store, task_manager, *actor_creator, tensor_transport_getter), + task_manager_(task_manager), lease_timeout_ms_(lease_timeout_ms), local_raylet_id_(local_raylet_id), worker_type_(worker_type), @@ -267,7 +267,7 @@ class NormalTaskSubmitter { LocalDependencyResolver resolver_; /// Used to complete tasks. - TaskFinisherInterface &task_finisher_; + TaskManagerInterface &task_manager_; /// The timeout for worker leases; after this duration, workers will be returned /// to the raylet. From ef52d6f8022604e3023d65f3f97a748e915509eb Mon Sep 17 00:00:00 2001 From: Christina Zhu Date: Thu, 3 Jul 2025 16:50:33 -0700 Subject: [PATCH 0043/1566] Updated stalebot to add bounced label and exempt labels (#54318) We've had some stalebot conflicts where PRs are being marked stale repeatedly. This is so that if a PR is marked "unstale", it will add a `bounced` label. If a PR has this label, it will never be marked stale again. Signed-off-by: Christina Zhu Signed-off-by: Douglas Strodtman --- .github/workflows/stale_pull_request.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/.github/workflows/stale_pull_request.yaml b/.github/workflows/stale_pull_request.yaml index 406c5748ae51..2219583d0501 100644 --- a/.github/workflows/stale_pull_request.yaml +++ b/.github/workflows/stale_pull_request.yaml @@ -56,7 +56,8 @@ jobs: # Pull Requests with these labels will never be considered stale exempt-pr-labels: > weekly-release-blocker, - release-blocker + release-blocker, + bounced # Set to true to ignore PRs in a milestone (defaults to false) exempt-all-pr-milestones: true @@ -68,4 +69,7 @@ jobs: # Remove stale label from PRs on update (default is true) remove-pr-stale-when-updated: true + # Add bounced label. Whenever a PR is marked as 'bounced' it will not be marked stale again. + labels-to-add-when-unstale: bounced + ascending: true From 6799d815dff78901ac62c2896d7c78a5715651d3 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 3 Jul 2025 17:29:44 -0700 Subject: [PATCH 0044/1566] [serve] deflake test_multiplex (#54335) ## Why are these changes needed? Deflake `test_multiplex`. https://buildkite.com/ray-project/postmerge/builds/11232#0197cd9b-97d6-4c15-9d3e-8740c601ecef/177-1298 Waiting for the `record_handle.add.remote` call to go through in `__del__`. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_multiplex.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/tests/test_multiplex.py b/python/ray/serve/tests/test_multiplex.py index ca6c56f5169a..1ebc29066181 100644 --- a/python/ray/serve/tests/test_multiplex.py +++ b/python/ray/serve/tests/test_multiplex.py @@ -535,8 +535,8 @@ def __init__(self, model_id, record_handle): self.model_id = model_id self.record_handle = record_handle - def __del__(self): - self.record_handle.add.remote(self.model_id) + async def __del__(self): + await self.record_handle.add.remote(self.model_id) def __eq__(self, model): return model.model_id == self.model_id From d7e04b94510c3bafecca3e46c52fa4b9e9a73498 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Thu, 3 Jul 2025 18:33:37 -0700 Subject: [PATCH 0045/1566] [train] Add broadcast_from_rank_zero and barrier collectives (#54066) Add lightweight framework-agnostic `barrier` and `broadcast_from_rank_zero` collectives for passing small data around within ray train functions. Useful when we want all train workers to use state that is only known at runtime (e.g. each worker saves a unique file for the current epoch/step) and the framework doesn't support the collective (e.g. lightgbm has limited support). --------- Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- python/ray/train/BUILD | 1 + python/ray/train/collective/__init__.py | 19 +++ python/ray/train/collective/collectives.py | 115 ++++++++++++++++++ python/ray/train/v2/BUILD | 16 +++ .../execution/checkpoint/sync_actor.py | 45 ++++--- .../train/v2/_internal/execution/context.py | 1 + python/ray/train/v2/tests/test_collective.py | 69 +++++++++++ python/ray/train/v2/tests/test_persistence.py | 1 + python/ray/train/v2/tests/test_sync_actor.py | 20 ++- 9 files changed, 267 insertions(+), 20 deletions(-) create mode 100644 python/ray/train/collective/__init__.py create mode 100644 python/ray/train/collective/collectives.py create mode 100644 python/ray/train/v2/tests/test_collective.py diff --git a/python/ray/train/BUILD b/python/ray/train/BUILD index 448242d7f63a..c4ef63099eb1 100644 --- a/python/ray/train/BUILD +++ b/python/ray/train/BUILD @@ -7,6 +7,7 @@ doctest( files = glob( ["**/*.py"], exclude = [ + "collective/**", # Only works on v2 "examples/**", "tests/**", "horovod/**", # CI do not have horovod installed diff --git a/python/ray/train/collective/__init__.py b/python/ray/train/collective/__init__.py new file mode 100644 index 000000000000..6cffcda40d74 --- /dev/null +++ b/python/ray/train/collective/__init__.py @@ -0,0 +1,19 @@ +from ray.train.v2._internal.constants import is_v2_enabled + +if is_v2_enabled(): + from ray.train.collective.collectives import barrier, broadcast_from_rank_zero + + __all__ = [ + "broadcast_from_rank_zero", + "barrier", + ] + + broadcast_from_rank_zero.__module__ = "ray.train.collective" + barrier.__module__ = "ray.train.collective" +else: + raise ImportError( + "`ray.train.collective` is only available in Ray Train v2. " + "To enable it, please set `RAY_TRAIN_V2_ENABLED=1`." + ) + +# DO NOT ADD ANYTHING AFTER THIS LINE. diff --git a/python/ray/train/collective/collectives.py b/python/ray/train/collective/collectives.py new file mode 100644 index 000000000000..c35c43564bbe --- /dev/null +++ b/python/ray/train/collective/collectives.py @@ -0,0 +1,115 @@ +import logging +from typing import Optional, TypeVar + +import ray +import ray.cloudpickle as pickle +from ray.train.v2._internal.execution.context import get_train_context +from ray.util.annotations import PublicAPI + +# For reference, {1:1} is 19 bytes, {"1":"1"} is 21 bytes, +# and {"12345": "12345"} is 25 bytes. +_MAX_BROADCAST_SIZE_BYTES = 1000 + +T = TypeVar("T", bound=Optional[object]) + + +logger = logging.getLogger(__file__) + + +@PublicAPI(stability="alpha") +def broadcast_from_rank_zero(data: T) -> T: + """Broadcast small (<1kb) data from the rank 0 worker to all other workers. + + Serves as a barrier, meaning that all workers must call this method before + the training function can continue. + + Example: + + .. testcode: + :skipif: True + + from ray.train import get_context + from ray.train.collective import broadcast_from_rank_zero + from ray.train.torch import TorchTrainer + + def train_func(): + ... + if get_context().get_world_rank() == 0: + data = {"some_key": "some_value"} + else: + data = None + data = broadcast_from_rank_zero(data) + ... + + trainer = TorchTrainer(train_func) + trainer.fit() + + Args: + data: The small (1kb) data to broadcast from the rank 0 worker to all + other workers. + + Returns: + The data broadcasted from the rank 0 worker. + + Raises: + ValueError: If the data is too big. + pickle.PicklingError: If the data is not pickleable. + TypeError: If the data is not pickleable. + """ + # Validate data. + if data is not None: + data_bytes = len(pickle.dumps(data)) + if data_bytes > _MAX_BROADCAST_SIZE_BYTES: + logger.warning( + f"Data size {data_bytes} bytes exceeds the maximum broadcast " + f"size of {_MAX_BROADCAST_SIZE_BYTES} bytes" + ) + + # Send data to all workers. + train_context = get_train_context() + sync_actor = train_context.get_synchronization_actor() + return ray.get( + sync_actor.broadcast_from_rank_zero.remote( + world_rank=train_context.get_world_rank(), + world_size=train_context.get_world_size(), + data=data, + caller_method_name="ray.train.collective.broadcast_from_rank_zero", + ) + ) + + +@PublicAPI(stability="alpha") +def barrier() -> None: + """Create a barrier across all workers. + + All workers must call this method before the training function can continue. + + Example: + + .. testcode: + :skipif: True + + from ray.train import get_context + from ray.train.collective import barrier + from ray.train.torch import TorchTrainer + + def train_func(): + ... + print(f"Rank {get_context().get_world_rank()} is waiting at the barrier.") + barrier() + print(f"Rank {get_context().get_world_rank()} has passed the barrier.") + ... + + trainer = TorchTrainer(train_func) + trainer.fit() + """ + train_context = get_train_context() + sync_actor = train_context.get_synchronization_actor() + return ray.get( + sync_actor.broadcast_from_rank_zero.remote( + world_rank=train_context.get_world_rank(), + world_size=train_context.get_world_size(), + data=None, + caller_method_name="ray.train.collective.barrier", + ) + ) diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index 67b5e1205d41..502056cb9885 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -37,6 +37,22 @@ py_test( ], ) +py_test( + name = "test_collective", + size = "small", + srcs = ["tests/test_collective.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_controller", size = "small", diff --git a/python/ray/train/v2/_internal/execution/checkpoint/sync_actor.py b/python/ray/train/v2/_internal/execution/checkpoint/sync_actor.py index f467290c71bf..ee26ad967da7 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/sync_actor.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/sync_actor.py @@ -16,18 +16,10 @@ BROADCAST_PERIODIC_WARNING = """ -`ray.train.report` has not been called by all {world_size} workers in the group. - -The workers have been waiting for {max_time_elapsed_s:.2f} s for the following ranks -to join the `report` call: {missing_ranks}. - -Please ensure that all workers call `ray.train.report` regardless of whether -they participate in checkpointing or not (e.g., pass `checkpoint=None` for ranks -that do not save a checkpoint). Also ensure that workers are not hanging on -other operations, causing them to miss this synchronization barrier. - -You can set the {warn_interval_env_var} environment variable to change the frequency -of this warning (current value: {warn_interval_s} s). +`{caller_method_name}` has not been called by all {world_size} workers in the group. +The workers have been waiting for {max_time_elapsed_s:.2f} s for the following ranks to join the `{caller_method_name}` call: {missing_ranks}. +Also ensure that workers are not hanging on other operations, causing them to miss this synchronization barrier. +You can set the {warn_interval_env_var} environment variable to change the frequency of this warning (current value: {warn_interval_s} s). """ @@ -124,7 +116,9 @@ def _get_missing_ranks(self) -> List[int]: """Returns the ranks that have not entered the synchronization barrier.""" return [i for i, t in enumerate(self._sync_start_times) if t is None] - async def _wait_with_logging(self, condition, world_rank: int): + async def _wait_with_logging( + self, condition, world_rank: int, caller_method_name: str + ): """Waits for the condition to be notified, logging an warning every `log_interval` seconds, and raises a timeout error if `timeout` is reached. """ @@ -141,23 +135,40 @@ async def _wait_with_logging(self, condition, world_rank: int): except (asyncio.TimeoutError, TimeoutError): logger.warning( BROADCAST_PERIODIC_WARNING.format( + caller_method_name=caller_method_name, world_size=self._world_size, max_time_elapsed_s=self._get_time_elapsed(), missing_ranks=self._get_missing_ranks(), warn_interval_env_var=REPORT_BARRIER_WARN_INTERVAL_S_ENV_VAR, warn_interval_s=self._warn_interval_s, - ) + ), ) async def broadcast_from_rank_zero( - self, world_rank: int, world_size: int, data: T + self, + world_rank: int, + world_size: int, + data: T, + caller_method_name: str, ) -> T: """Broadcasts a data from the worker with rank 0 to all other workers. This method is a coroutine that blocks until all workers have called this method with the their data. The data from the worker with rank 0 will be returned. + + Args: + world_rank: The rank of the worker that calls this method. + world_size: The total number of workers in the group. + data: The data to broadcast. + caller_method_name: The name of the method that calls this method. + + Returns: + The data broadcasted from the worker with rank 0. """ + # TODO: resolve https://github.com/ray-project/ray/pull/54066#discussion_r2180657435 + # We couldn't reproduce the issue but the asyncio docs don't say it can't happen. + # Ensures that all global states manipulation is done within the async context # manager which makes the condition variable awaiting and the counter # incrementing an atomic operation. @@ -175,7 +186,9 @@ async def broadcast_from_rank_zero( # other workers to call the broadcast_from_rank_zero method. try: await asyncio.wait_for( - self._wait_with_logging(self._condition, world_rank), + self._wait_with_logging( + self._condition, world_rank, caller_method_name + ), timeout=self._timeout_s, ) return self._reduced_data diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index f7e9be9e58e5..cf76ec4f8484 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -183,6 +183,7 @@ def _sync_checkpoint_dir_name_across_ranks( world_rank=self.distributed_context.world_rank, world_size=self.distributed_context.world_size, data=checkpoint_dir_name, + caller_method_name="ray.train.report", ) ) diff --git a/python/ray/train/v2/tests/test_collective.py b/python/ray/train/v2/tests/test_collective.py new file mode 100644 index 000000000000..d8196ea420a5 --- /dev/null +++ b/python/ray/train/v2/tests/test_collective.py @@ -0,0 +1,69 @@ +from unittest import mock + +import pytest + +import ray +import ray.train.collective +from ray.train.collective import collectives +from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer + + +def test_barrier(ray_start_4_cpus): + @ray.remote + class Counter: + def __init__(self): + self.num_reached_barrier = 0 + + def increment(self): + self.num_reached_barrier += 1 + + def get_num_reached_barrier(self): + return self.num_reached_barrier + + counter = Counter.remote() + + def train_fn(): + counter.increment.remote() + ray.train.collective.barrier() + assert ray.get(counter.get_num_reached_barrier.remote()) == 2 + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ray.train.ScalingConfig(num_workers=2), + ) + trainer.fit() + + +def test_broadcast_from_rank_zero(ray_start_4_cpus): + def train_fn(): + rank = ray.train.get_context().get_world_rank() + value = ray.train.collective.broadcast_from_rank_zero({"key": rank}) + assert value == {"key": 0} + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ray.train.ScalingConfig(num_workers=2), + ) + trainer.fit() + + +def test_broadcast_from_rank_zero_data_too_big(ray_start_4_cpus): + def train_fn(): + collectives.logger = mock.create_autospec(collectives.logger, instance=True) + collectives._MAX_BROADCAST_SIZE_BYTES = 0 + rank = ray.train.get_context().get_world_rank() + value = ray.train.collective.broadcast_from_rank_zero({"key": rank}) + assert value == {"key": 0} + collectives.logger.warning.assert_called_once() + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ray.train.ScalingConfig(num_workers=2), + ) + trainer.fit() + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/train/v2/tests/test_persistence.py b/python/ray/train/v2/tests/test_persistence.py index da02234c0e15..cc231722a651 100644 --- a/python/ray/train/v2/tests/test_persistence.py +++ b/python/ray/train/v2/tests/test_persistence.py @@ -222,6 +222,7 @@ def train_fn(config): world_rank=train_context.get_world_rank(), world_size=train_context.get_world_size(), data="barrier", + caller_method_name="caller_method_name", ) ) diff --git a/python/ray/train/v2/tests/test_sync_actor.py b/python/ray/train/v2/tests/test_sync_actor.py index c8aac0cd497a..7cbb04a3a6dd 100644 --- a/python/ray/train/v2/tests/test_sync_actor.py +++ b/python/ray/train/v2/tests/test_sync_actor.py @@ -25,7 +25,10 @@ def test_broadcast_from_rank_0(world_size): for rank in range(world_size): remote_tasks.append( sync_actor.broadcast_from_rank_zero.remote( - world_rank=rank, world_size=world_size, data=f"data-{rank}" + world_rank=rank, + world_size=world_size, + data=f"data-{rank}", + caller_method_name="broadcast_from_rank_zero", ) ) # Ensure that all workers have the same consensus data same as rank 0 @@ -48,7 +51,10 @@ def test_hang(): for rank in range(9): remote_tasks.append( sync_actor.broadcast_from_rank_zero.remote( - world_rank=rank, world_size=10, data=f"data-{rank}" + world_rank=rank, + world_size=10, + data=f"data-{rank}", + caller_method_name="broadcast_from_rank_zero", ) ) # Ensure that the workers are blocked and raise BroadcastCollectiveTimeoutError @@ -70,14 +76,20 @@ def test_world_size_mismatch(): for rank in range(9): remote_tasks.append( sync_actor.broadcast_from_rank_zero.remote( - world_rank=rank, world_size=10, data=f"data-{rank}" + world_rank=rank, + world_size=10, + data=f"data-{rank}", + caller_method_name="broadcast_from_rank_zero", ) ) # The last worker calls broadcast with a different world size. # This task should raise an error immediately. mismatch_task = sync_actor.broadcast_from_rank_zero.remote( - world_rank=9, world_size=11, data="data-9" + world_rank=9, + world_size=11, + data="data-9", + caller_method_name="broadcast_from_rank_zero", ) with pytest.raises(ValueError, match="same world size"): ray.get(mismatch_task) From 3e211b9e55ced27d0e25bfa2e8c5171d35d537fa Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Thu, 3 Jul 2025 22:09:14 -0400 Subject: [PATCH 0046/1566] [Data] Fix flaky `test_shuffle` (#54339) ## Why are these changes needed? Removing byte size assertion that's not accurate anyway. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/tests/conftest.py | 16 ++++-------- python/ray/data/tests/test_block_sizing.py | 29 ++++++++++------------ 2 files changed, 18 insertions(+), 27 deletions(-) diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index d2e0c3b51643..6a4fc14c2711 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -725,17 +725,10 @@ def assert_blocks_expected_in_plasma( last_snapshot, num_blocks_expected, block_size_expected=None, - total_bytes_expected=None, ): - assert not ( - block_size_expected is not None and total_bytes_expected is not None - ), "only specify one of block_size_expected, total_bytes_expected" - - if total_bytes_expected is None: - if block_size_expected is None: - block_size_expected = ( - ray.data.context.DataContext.get_current().target_max_block_size - ) + total_bytes_expected = None + + if block_size_expected is not None: total_bytes_expected = num_blocks_expected * block_size_expected print(f"Expecting {total_bytes_expected} bytes, {num_blocks_expected} blocks") @@ -750,7 +743,8 @@ def _assert(last_snapshot): <= 1.5 * num_blocks_expected ), "cumulative_created_plasma_bytes": ( - lambda count: total_bytes_expected * 0.5 + lambda count: total_bytes_expected is None + or total_bytes_expected * 0.5 <= count <= 1.5 * total_bytes_expected ), diff --git a/python/ray/data/tests/test_block_sizing.py b/python/ray/data/tests/test_block_sizing.py index 944e4d39ff15..62287af00706 100644 --- a/python/ray/data/tests/test_block_sizing.py +++ b/python/ray/data/tests/test_block_sizing.py @@ -148,15 +148,17 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): ctx = DataContext.get_current() ctx.read_op_min_num_blocks = 1 ctx.target_min_block_size = 1 + + N = 100_000 mem_size = 800_000 + shuffle_fn, kwargs, fusion_supported = shuffle_op ctx.target_shuffle_max_block_size = 10_000 * 8 num_blocks_expected = mem_size // ctx.target_shuffle_max_block_size - block_size_expected = ctx.target_shuffle_max_block_size last_snapshot = get_initial_core_execution_metrics_snapshot() - ds = shuffle_fn(ray.data.range(100_000), **kwargs).materialize() + ds = shuffle_fn(ray.data.range(N), **kwargs).materialize() assert ( num_blocks_expected <= ds._plan.initial_num_blocks() @@ -168,17 +170,17 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): num_intermediate_blocks = num_blocks_expected**2 + num_blocks_expected * ( 2 if fusion_supported else 4 ) + + print(f">>> Asserting {num_intermediate_blocks} blocks are in plasma") + last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, # Dataset.sort produces some empty intermediate blocks because the # input range is already partially sorted. num_intermediate_blocks, - # Data is written out once before map phase if fusion is disabled, once - # during map phase, once during reduce phase. - total_bytes_expected=mem_size * 2 + (0 if fusion_supported else mem_size), ) - ds = shuffle_fn(ray.data.range(100_000).map(lambda x: x), **kwargs).materialize() + ds = shuffle_fn(ray.data.range(N).map(lambda x: x), **kwargs).materialize() if not fusion_supported: # TODO(swang): For some reason BlockBuilder's estimated # memory usage for range(1000)->map is 2x the actual memory usage. @@ -197,16 +199,13 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): # Dataset.sort produces some empty intermediate blocks because the # input range is already partially sorted. num_intermediate_blocks, - # Data is written out once before map phase if fusion is disabled, once - # during map phase, once during reduce phase. - total_bytes_expected=mem_size * 2 + (0 if fusion_supported else mem_size), ) ctx.target_shuffle_max_block_size //= 2 num_blocks_expected = mem_size // ctx.target_shuffle_max_block_size block_size_expected = ctx.target_shuffle_max_block_size - ds = shuffle_fn(ray.data.range(100_000), **kwargs).materialize() + ds = shuffle_fn(ray.data.range(N), **kwargs).materialize() assert ( num_blocks_expected <= ds._plan.initial_num_blocks() @@ -218,10 +217,9 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, num_intermediate_blocks, - total_bytes_expected=mem_size * 2 + (0 if fusion_supported else mem_size), ) - ds = shuffle_fn(ray.data.range(100_000).map(lambda x: x), **kwargs).materialize() + ds = shuffle_fn(ray.data.range(N).map(lambda x: x), **kwargs).materialize() if not fusion_supported: num_blocks_expected = int(num_blocks_expected * 2.2) block_size_expected //= 2.2 @@ -236,22 +234,21 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, num_intermediate_blocks, - total_bytes_expected=mem_size * 2 + (0 if fusion_supported else mem_size), ) # Setting target max block size does not affect map ops when there is a # shuffle downstream. ctx.target_max_block_size = ctx.target_shuffle_max_block_size * 2 - ds = shuffle_fn(ray.data.range(100_000).map(lambda x: x), **kwargs).materialize() + ds = shuffle_fn(ray.data.range(N).map(lambda x: x), **kwargs).materialize() assert ( num_blocks_expected <= ds._plan.initial_num_blocks() <= num_blocks_expected * 1.5 ) - last_snapshot = assert_blocks_expected_in_plasma( + + assert_blocks_expected_in_plasma( last_snapshot, num_intermediate_blocks, - total_bytes_expected=mem_size * 2 + (0 if fusion_supported else mem_size), ) From c790963e81c2cf8119f4c7c47430787564f0ec26 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 3 Jul 2025 19:21:47 -0700 Subject: [PATCH 0047/1566] [serve] configure http options in controller (#54331) We set a bunch of defaults for http and grpc options in the proxy, but we should set them in the controller. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/controller.py | 11 ++++++-- python/ray/serve/_private/grpc_util.py | 18 ++++++++++++- python/ray/serve/_private/http_util.py | 13 +++++++--- python/ray/serve/_private/proxy.py | 26 +++---------------- python/ray/serve/tests/test_callback.py | 5 +++- python/ray/serve/tests/unit/test_http_util.py | 3 ++- 6 files changed, 45 insertions(+), 31 deletions(-) diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 663307fdd153..4637e45461fe 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -36,6 +36,10 @@ from ray.serve._private.deployment_info import DeploymentInfo from ray.serve._private.deployment_state import DeploymentStateManager from ray.serve._private.endpoint_state import EndpointState +from ray.serve._private.grpc_util import set_proxy_default_grpc_options +from ray.serve._private.http_util import ( + configure_http_options_with_defaults, +) from ray.serve._private.logging_utils import ( configure_component_cpu_profiler, configure_component_logger, @@ -156,13 +160,16 @@ async def __init__( self.cluster_node_info_cache = create_cluster_node_info_cache(self.gcs_client) self.cluster_node_info_cache.update() + # Configure proxy default HTTP and gRPC options. self.proxy_state_manager = ProxyStateManager( - http_options=http_options, + http_options=configure_http_options_with_defaults(http_options), head_node_id=self._controller_node_id, cluster_node_info_cache=self.cluster_node_info_cache, logging_config=self.global_logging_config, - grpc_options=grpc_options, + grpc_options=set_proxy_default_grpc_options(grpc_options), ) + # We modify the HTTP and gRPC options above, so delete them to avoid + del http_options, grpc_options self.endpoint_state = EndpointState(self.kv_store, self.long_poll_host) diff --git a/python/ray/serve/_private/grpc_util.py b/python/ray/serve/_private/grpc_util.py index 1fa88476ff46..b562ccfe2fd4 100644 --- a/python/ray/serve/_private/grpc_util.py +++ b/python/ray/serve/_private/grpc_util.py @@ -1,5 +1,6 @@ import asyncio import logging +from copy import deepcopy from typing import Callable, List, Optional, Sequence, Tuple from unittest.mock import Mock @@ -7,7 +8,11 @@ from grpc.aio._server import Server from ray.exceptions import RayActorError, RayTaskError -from ray.serve._private.constants import DEFAULT_GRPC_SERVER_OPTIONS, SERVE_LOGGER_NAME +from ray.serve._private.constants import ( + DEFAULT_GRPC_SERVER_OPTIONS, + RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S, + SERVE_LOGGER_NAME, +) from ray.serve._private.proxy_request_response import ResponseStatus from ray.serve.config import gRPCOptions from ray.serve.exceptions import BackPressureError, DeploymentUnavailableError @@ -155,3 +160,14 @@ def set_grpc_code_and_details( context.set_code(status.code) if not context.details(): context.set_details(status.message) + + +def set_proxy_default_grpc_options(grpc_options) -> gRPCOptions: + grpc_options = deepcopy(grpc_options) or gRPCOptions() + + if grpc_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S: + grpc_options.request_timeout_s = ( + grpc_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S + ) + + return grpc_options diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index 125c17e7f6a2..bceeb2b951b0 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -809,12 +809,19 @@ def configure_http_options_with_defaults(http_options: HTTPOptions) -> HTTPOptio http_options.keep_alive_timeout_s = RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S # TODO: Deprecate SERVE_REQUEST_PROCESSING_TIMEOUT_S env var - http_options.request_timeout_s = ( - http_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S - ) + if http_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S: + http_options.request_timeout_s = ( + http_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S + ) http_options.middlewares = http_options.middlewares or [] + return http_options + + +def configure_http_middlewares(http_options: HTTPOptions) -> HTTPOptions: + http_options = deepcopy(http_options) + # Add environment variable middleware if RAY_SERVE_HTTP_PROXY_CALLBACK_IMPORT_PATH: logger.info( diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 69e5ebc8ccaa..d99d8b28577f 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -6,7 +6,6 @@ import pickle import time from abc import ABC, abstractmethod -from copy import deepcopy from typing import Any, Callable, Dict, Generator, Optional, Set, Tuple import grpc @@ -30,7 +29,6 @@ RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS, RAY_SERVE_PROXY_GC_THRESHOLD, RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, - RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S, REQUEST_LATENCY_BUCKETS_MS, SERVE_CONTROLLER_NAME, SERVE_HTTP_REQUEST_ID_HEADER, @@ -46,7 +44,7 @@ ) from ray.serve._private.http_util import ( MessageQueue, - configure_http_options_with_defaults, + configure_http_middlewares, convert_object_to_asgi_messages, get_http_response_status, receive_http_body, @@ -1007,23 +1005,13 @@ async def send_request_to_replica( yield status -def _set_proxy_default_grpc_options(grpc_options) -> gRPCOptions: - grpc_options = deepcopy(grpc_options) or gRPCOptions() - - grpc_options.request_timeout_s = ( - grpc_options.request_timeout_s or RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S - ) - - return grpc_options - - @ray.remote(num_cpus=0) class ProxyActor: def __init__( self, http_options: HTTPOptions, + grpc_options: gRPCOptions, *, - grpc_options: Optional[gRPCOptions] = None, node_id: NodeId, node_ip_address: str, logging_config: LoggingConfig, @@ -1031,16 +1019,8 @@ def __init__( ): # noqa: F821 self._node_id = node_id self._node_ip_address = node_ip_address - - # Configure proxy default HTTP and gRPC options. - http_options = configure_http_options_with_defaults(http_options) - grpc_options = _set_proxy_default_grpc_options(grpc_options) - self._http_options = http_options + self._http_options = configure_http_middlewares(http_options) self._grpc_options = grpc_options - - # We modify the HTTP and gRPC options above, so delete them to avoid - del http_options, grpc_options - grpc_enabled = is_grpc_enabled(self._grpc_options) event_loop = get_or_create_event_loop() diff --git a/python/ray/serve/tests/test_callback.py b/python/ray/serve/tests/test_callback.py index df65d7a97d8f..934a9a6e059d 100644 --- a/python/ray/serve/tests/test_callback.py +++ b/python/ray/serve/tests/test_callback.py @@ -14,7 +14,7 @@ from ray.exceptions import RayActorError from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import call_function_from_import_path -from ray.serve.config import HTTPOptions +from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.context import _get_global_client from ray.serve.schema import LoggingConfig, ProxyStatus, ServeInstanceDetails @@ -170,6 +170,7 @@ def test_callback_fail(ray_instance): actor_def = ray.serve._private.proxy.ProxyActor handle = actor_def.remote( http_options=HTTPOptions(host="http_proxy", root_path="/", port=123), + grpc_options=gRPCOptions(), node_ip_address="127.0.0.1", node_id="123", logging_config=LoggingConfig(), @@ -182,6 +183,7 @@ def test_callback_fail(ray_instance): actor_def = ray.actor._make_actor(serve_controller, {}) handle = actor_def.remote( http_options=HTTPOptions(), + grpc_options=gRPCOptions(), global_logging_config=LoggingConfig(), ) with pytest.raises(RayActorError, match="cannot be imported"): @@ -203,6 +205,7 @@ def test_http_proxy_return_aribitary_objects(ray_instance): actor_def = ray.serve._private.proxy.ProxyActor handle = actor_def.remote( http_options=HTTPOptions(host="http_proxy", root_path="/", port=123), + grpc_options=gRPCOptions(), node_ip_address="127.0.0.1", node_id="123", logging_config=LoggingConfig(), diff --git a/python/ray/serve/tests/unit/test_http_util.py b/python/ray/serve/tests/unit/test_http_util.py index fb050a40b7b3..8d9330e7cd38 100644 --- a/python/ray/serve/tests/unit/test_http_util.py +++ b/python/ray/serve/tests/unit/test_http_util.py @@ -13,6 +13,7 @@ from ray.serve._private.http_util import ( ASGIReceiveProxy, MessageQueue, + configure_http_middlewares, configure_http_options_with_defaults, ) @@ -359,7 +360,7 @@ async def dispatch(self, request, call_next): ] # Return list of wrapped middleware # Act - result = configure_http_options_with_defaults(base_http_options) + result = configure_http_middlewares(base_http_options) # Assert mock_call_function.assert_called_once_with( From 1d0842c26f3f8fe10a856298c2c65b3a01cde4d0 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Fri, 4 Jul 2025 18:38:46 -0700 Subject: [PATCH 0048/1566] [Train] Remove the subclass relationship between RunConfig and RunConfigV1 (#54293) In RunConfig, it subclasses RunConfigV1, whose `__post_init__` is using v1 configs to initialize. Now we remove the subclass relationship to avoid unexpected bugs. --------- Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- python/ray/train/v2/api/config.py | 32 +++++++++++++++++++++--- python/ray/train/v2/tests/test_v2_api.py | 20 +++++++++++++++ 2 files changed, 49 insertions(+), 3 deletions(-) diff --git a/python/ray/train/v2/api/config.py b/python/ray/train/v2/api/config.py index 351f16b96aff..4d7356c5b813 100644 --- a/python/ray/train/v2/api/config.py +++ b/python/ray/train/v2/api/config.py @@ -1,9 +1,13 @@ +import logging from dataclasses import dataclass +from pathlib import Path from typing import TYPE_CHECKING, List, Optional, Union +import pyarrow.fs + from ray.air.config import ( + CheckpointConfig, FailureConfig as FailureConfigV1, - RunConfig as RunConfigV1, ScalingConfig as ScalingConfigV1, ) from ray.runtime_env import RuntimeEnv @@ -13,11 +17,15 @@ TRAINER_RESOURCES_DEPRECATION_MESSAGE, ) from ray.train.v2._internal.util import date_str +from ray.util.annotations import PublicAPI if TYPE_CHECKING: from ray.train import UserCallback +logger = logging.getLogger(__name__) + + @dataclass class ScalingConfig(ScalingConfigV1): """Configuration for scaling training. @@ -97,7 +105,8 @@ def __post_init__(self): @dataclass -class RunConfig(RunConfigV1): +@PublicAPI(stability="stable") +class RunConfig: """Runtime configuration for training runs. Args: @@ -119,6 +128,11 @@ class RunConfig(RunConfigV1): for all Ray Train worker actors. """ + name: Optional[str] = None + storage_path: Optional[str] = None + storage_filesystem: Optional[pyarrow.fs.FileSystem] = None + failure_config: Optional[FailureConfig] = None + checkpoint_config: Optional[CheckpointConfig] = None callbacks: Optional[List["UserCallback"]] = None worker_runtime_env: Optional[Union[dict, RuntimeEnv]] = None @@ -129,7 +143,19 @@ class RunConfig(RunConfigV1): log_to_file: str = _DEPRECATED def __post_init__(self): - super().__post_init__() + from ray.train.constants import DEFAULT_STORAGE_PATH + + if self.storage_path is None: + self.storage_path = DEFAULT_STORAGE_PATH + + if not self.failure_config: + self.failure_config = FailureConfig() + + if not self.checkpoint_config: + self.checkpoint_config = CheckpointConfig() + + if isinstance(self.storage_path, Path): + self.storage_path = self.storage_path.as_posix() # TODO(justinvyu): Add link to migration guide. run_config_deprecation_message = ( diff --git a/python/ray/train/v2/tests/test_v2_api.py b/python/ray/train/v2/tests/test_v2_api.py index 1911dad40902..d9b5697fa77a 100644 --- a/python/ray/train/v2/tests/test_v2_api.py +++ b/python/ray/train/v2/tests/test_v2_api.py @@ -30,6 +30,26 @@ def test_api_configs(operation, raise_error): pytest.fail(f"Default Operation raised an exception: {e}") +def test_run_config_default_failure_config(): + """Test that RunConfig creates a default FailureConfig from v2 API, not v1.""" + # Import the v2 FailureConfig and v1 FailureConfig for comparison + from ray.train.v2.api.config import FailureConfig as FailureConfigV2 + + # Create a RunConfig without specifying failure_config + run_config = RunConfig() + + # Verify that the default failure_config is the v2 version + assert run_config.failure_config is not None + assert isinstance(run_config.failure_config, FailureConfigV2) + assert type(run_config.failure_config) is FailureConfigV2 + + # Verify that explicitly passing None also creates v2 FailureConfig + run_config_explicit_none = RunConfig(failure_config=None) + assert run_config_explicit_none.failure_config is not None + assert isinstance(run_config_explicit_none.failure_config, FailureConfigV2) + assert type(run_config_explicit_none.failure_config) is FailureConfigV2 + + def test_scaling_config_total_resources(): """Test the patched scaling config total resources calculation.""" num_workers = 2 From bc7a9d8f0f320e6fea5df8bc4e3bf2e623006218 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Sat, 5 Jul 2025 05:12:16 -0700 Subject: [PATCH 0049/1566] raydepsets scaffolding (package management tool) (#54265) Scaffolding for raydepsets Bazel build file contains: - py_library: raydepsets_lib - py_binary: raydepsets (cli binary) - py_test: test_cli click CLI (no functionality) --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/cicd.rayci.yml | 14 ++++++++++++++ ci/raydepsets/BUILD.bazel | 32 ++++++++++++++++++++++++++++++++ ci/raydepsets/cli.py | 8 ++++++++ ci/raydepsets/raydepsets.py | 5 +++++ ci/raydepsets/tests/test_cli.py | 10 ++++++++++ 5 files changed, 69 insertions(+) create mode 100644 ci/raydepsets/BUILD.bazel create mode 100644 ci/raydepsets/cli.py create mode 100644 ci/raydepsets/raydepsets.py create mode 100644 ci/raydepsets/tests/test_cli.py diff --git a/.buildkite/cicd.rayci.yml b/.buildkite/cicd.rayci.yml index 683b02231fea..ce287f200be8 100644 --- a/.buildkite/cicd.rayci.yml +++ b/.buildkite/cicd.rayci.yml @@ -14,6 +14,20 @@ steps: - oss-ci-base_test - forge tags: tools + - label: ":coral: reef: raydepsets tests" + key: raydepsets-tests + commands: + - bazel run //ci/ray_ci:test_in_docker -- + //ci/raydepsets/... ci + --only-tags=release_unit,ci_unit + --cache-test-results --parallelism-per-worker 1 + --build-name oss-ci-base_test + --build-type skip + instance_type: small + depends_on: + - oss-ci-base_test + - forge + tags: tools - label: ":coral: reef: privileged container tests" commands: - bazel run //ci/ray_ci:test_in_docker -- diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel new file mode 100644 index 000000000000..80057b3f7616 --- /dev/null +++ b/ci/raydepsets/BUILD.bazel @@ -0,0 +1,32 @@ +load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") + +py_library( + name = "raydepsets_lib", + srcs = [ + "cli.py", + ], + deps = [ + ci_require("click"), + ], +) + +py_binary( + name = "raydepsets", + srcs = ["raydepsets.py"], + deps = [":raydepsets_lib"], + exec_compatible_with = ["//:hermetic_python"], +) + +py_test( + name = "test_cli", + srcs = ["tests/test_cli.py"], + exec_compatible_with = ["//:hermetic_python"], + deps = [ + ci_require("pytest"), + ":raydepsets_lib", + ], + tags = [ + "ci_unit", + "team:ci", + ], +) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py new file mode 100644 index 000000000000..e574f9c26fd2 --- /dev/null +++ b/ci/raydepsets/cli.py @@ -0,0 +1,8 @@ +import click + + +@click.group(name="depsets") +@click.pass_context +def cli(ctx): + """Manage Python dependency sets.""" + pass diff --git a/ci/raydepsets/raydepsets.py b/ci/raydepsets/raydepsets.py new file mode 100644 index 000000000000..96fe15631f36 --- /dev/null +++ b/ci/raydepsets/raydepsets.py @@ -0,0 +1,5 @@ +#!/usr/bin/env python3 +from cli import cli + +if __name__ == "__main__": + cli() diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py new file mode 100644 index 000000000000..6ad2cdf528b9 --- /dev/null +++ b/ci/raydepsets/tests/test_cli.py @@ -0,0 +1,10 @@ +import pytest +import sys + + +def test_cli(): + pass + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From e9aede342b05fa9f1f7ad717f84d0480eb70d0d6 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 5 Jul 2025 11:42:08 -0700 Subject: [PATCH 0050/1566] [wheel] mac: upgrade arm64 wheel to macos 12 (#54323) now wheels for both intel and apple silicon are on the same version `ray[all]` does not work on arm64 macos 11 anyways, as `scipy` does not have the related wheels Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/automation/ray_wheels_lib.py | 2 +- ci/ray_ci/automation/test_pypi_lib.py | 12 ++++++------ ci/ray_ci/automation/test_ray_wheels_lib.py | 8 ++++---- doc/source/ray-overview/installation.rst | 10 +++++----- python/ray/_private/utils.py | 4 ++-- python/ray/tests/test_runtime_env_get_wheel_names.py | 7 +++++-- 6 files changed, 23 insertions(+), 20 deletions(-) diff --git a/ci/ray_ci/automation/ray_wheels_lib.py b/ci/ray_ci/automation/ray_wheels_lib.py index 77195169b4c8..2e16002a105f 100644 --- a/ci/ray_ci/automation/ray_wheels_lib.py +++ b/ci/ray_ci/automation/ray_wheels_lib.py @@ -17,7 +17,7 @@ "manylinux2014_x86_64", "manylinux2014_aarch64", "macosx_12_0_x86_64", - "macosx_11_0_arm64", + "macosx_12_0_arm64", "win_amd64", ] RAY_TYPES = ["ray", "ray_cpp"] diff --git a/ci/ray_ci/automation/test_pypi_lib.py b/ci/ray_ci/automation/test_pypi_lib.py index 6624882ad0af..9cb23f27c3b4 100644 --- a/ci/ray_ci/automation/test_pypi_lib.py +++ b/ci/ray_ci/automation/test_pypi_lib.py @@ -58,8 +58,8 @@ def test_get_pypi_token_fail(mock_boto3_client): def test_upload_wheels_to_pypi(mock_subprocess, mock_get_pypi_url, mock_get_pypi_token): pypi_env = "test" wheels = [ - "ray_cpp-2.9.3-cp310-cp310-macosx_11_0_arm64.whl", - "ray_cpp-2.9.3-cp311-cp311-macosx_11_0_arm64.whl", + "ray_cpp-2.9.3-cp310-cp310-macosx_12_0_arm64.whl", + "ray_cpp-2.9.3-cp311-cp311-macosx_12_0_arm64.whl", ] mock_get_pypi_token.return_value = "test_token" mock_get_pypi_url.return_value = "test_pypi_url" @@ -97,8 +97,8 @@ def test_upload_wheels_to_pypi_fail_twine_upload( ): pypi_env = "test" wheels = [ - "ray_cpp-2.9.3-cp310-cp310-macosx_11_0_arm64.whl", - "ray_cpp-2.9.3-cp311-cp311-macosx_11_0_arm64.whl", + "ray_cpp-2.9.3-cp310-cp310-macosx_12_0_arm64.whl", + "ray_cpp-2.9.3-cp311-cp311-macosx_12_0_arm64.whl", ] mock_get_pypi_token.return_value = "test_token" mock_get_pypi_url.return_value = "test_pypi_url" @@ -117,8 +117,8 @@ def test_upload_wheels_to_pypi_fail_twine_upload( def test_upload_wheels_to_pypi_fail_get_pypi(mock_get_pypi_url, mock_get_pypi_token): pypi_env = "test" wheels = [ - "ray_cpp-2.9.3-cp310-cp310-macosx_11_0_arm64.whl", - "ray_cpp-2.9.3-cp311-cp311-macosx_11_0_arm64.whl", + "ray_cpp-2.9.3-cp310-cp310-macosx_12_0_arm64.whl", + "ray_cpp-2.9.3-cp311-cp311-macosx_12_0_arm64.whl", ] mock_get_pypi_token.side_effect = ValueError("Invalid pypi_env: test") mock_get_pypi_url.side_effect = ValueError("Invalid pypi_env: test") diff --git a/ci/ray_ci/automation/test_ray_wheels_lib.py b/ci/ray_ci/automation/test_ray_wheels_lib.py index 3d70fe91abec..aef36be327ae 100644 --- a/ci/ray_ci/automation/test_ray_wheels_lib.py +++ b/ci/ray_ci/automation/test_ray_wheels_lib.py @@ -21,7 +21,7 @@ "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", - "ray-1.0.0-cp39-cp39-macosx_11_0_arm64", + "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] @@ -58,7 +58,7 @@ def test_check_downloaded_wheels(): "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", - "ray-1.0.0-cp39-cp39-macosx_11_0_arm64", + "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] @@ -75,7 +75,7 @@ def test_check_downloaded_wheels_fail(): "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", - "ray-1.0.0-cp39-cp39-macosx_11_0_arm64", + "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] @@ -94,7 +94,7 @@ def test_download_wheel_from_s3(mock_boto3_client): "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-manylinux2014_x86_64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-manylinux2014_aarch64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-macosx_12_0_x86_64.whl", - "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-macosx_11_0_arm64.whl", + "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-macosx_12_0_arm64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-win_amd64.whl", ] for key in keys: diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index af4c5dac2e9c..a55b9f1a7760 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -163,11 +163,11 @@ You can install the nightly Ray wheels via the following links. These daily rele .. _`MacOS Python 3.12 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-macosx_12_0_x86_64.whl .. _`MacOS Python 3.13 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-macosx_12_0_x86_64.whl -.. _`MacOS Python 3.9 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-macosx_11_0_arm64.whl -.. _`MacOS Python 3.10 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-macosx_11_0_arm64.whl -.. _`MacOS Python 3.11 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-macosx_11_0_arm64.whl -.. _`MacOS Python 3.12 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-macosx_11_0_arm64.whl -.. _`MacOS Python 3.13 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-macosx_11_0_arm64.whl +.. _`MacOS Python 3.9 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-macosx_12_0_arm64.whl +.. _`MacOS Python 3.10 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-macosx_12_0_arm64.whl +.. _`MacOS Python 3.11 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-macosx_12_0_arm64.whl +.. _`MacOS Python 3.12 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-macosx_12_0_arm64.whl +.. _`MacOS Python 3.13 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-macosx_12_0_arm64.whl .. _`Windows Python 3.9`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-win_amd64.whl diff --git a/python/ray/_private/utils.py b/python/ray/_private/utils.py index a1547a7b6d08..b838b4cdc09c 100644 --- a/python/ray/_private/utils.py +++ b/python/ray/_private/utils.py @@ -916,9 +916,9 @@ def get_wheel_filename( architecture = architecture or platform.processor() if py_version_str in ["311", "310", "39", "38"] and architecture == "arm64": - darwin_os_string = "macosx_11_0_arm64" + darwin_os_string = "macosx_12_0_arm64" else: - darwin_os_string = "macosx_10_15_x86_64" + darwin_os_string = "macosx_12_0_x86_64" if architecture == "aarch64": linux_os_string = "manylinux2014_aarch64" diff --git a/python/ray/tests/test_runtime_env_get_wheel_names.py b/python/ray/tests/test_runtime_env_get_wheel_names.py index f17d39cf6014..e124bc9ae676 100644 --- a/python/ray/tests/test_runtime_env_get_wheel_names.py +++ b/python/ray/tests/test_runtime_env_get_wheel_names.py @@ -34,7 +34,10 @@ def test_get_master_wheel_url(): # This should be a commit for which wheels have already been built for # all platforms and python versions at # `s3://ray-wheels/master//`. - test_commit = "593d04aba2726a0104280d1bdbc2779e3a8ba7d4" + # + # Link to commit: + # https://github.com/ray-project/ray/commit/263c7e1e66746c03f16e8ee20753d05a9936f6f0 + test_commit = "263c7e1e66746c03f16e8ee20753d05a9936f6f0" for sys_platform in ["darwin", "linux", "win32"]: for py_version in ray_constants.RUNTIME_ENV_CONDA_PY_VERSIONS: url = get_master_wheel_url( @@ -48,7 +51,7 @@ def test_get_release_wheel_url(): # This should be a commit for which wheels have already been built for # all platforms and python versions at # `s3://ray-wheels/releases/2.2.0//`. - test_commits = {"2.31.0": "1240d3fc326517f9be28bb7897c1c88619f0d984"} + test_commits = {"2.47.1": "61d3f2f1aa33563faa398105f4abda88cb39440b"} for sys_platform in ["darwin", "linux", "win32"]: for py_version in ray_constants.RUNTIME_ENV_CONDA_PY_VERSIONS: for version, commit in test_commits.items(): From 1d15cc3c74dd158605912f1401544801b411d654 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sun, 6 Jul 2025 00:39:46 -0700 Subject: [PATCH 0051/1566] [cpp] add explicit files for deps (#54311) also make `ray_cpp_pkg` private visibility Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- cpp/BUILD.bazel | 22 +++++++++++++++------- python/setup.py | 3 ++- 2 files changed, 17 insertions(+), 8 deletions(-) diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 3b542f67a4d7..78d3ece98465 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -1,6 +1,7 @@ # Bazel build # C/C++ documentation: https://docs.bazel.build/versions/master/be/c-cpp.html +load("//bazel:python.bzl", "py_test_module_list") load("//bazel:ray.bzl", "COPTS") cc_binary( @@ -56,12 +57,12 @@ cc_library( strip_include_prefix = "include", visibility = ["//visibility:public"], deps = [ - "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//:ray_common", "//src/ray/core_worker:core_worker_lib", + "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/util", - "//src/ray/util:process", "//src/ray/util:cmd_line_utils", + "//src/ray/util:process", "@boost//:callable_traits", "@boost//:dll", "@com_google_absl//absl/flags:flag", @@ -109,6 +110,15 @@ cc_binary( }), ) +filegroup( + name = "ray_cpp_pkg_files", + srcs = [ + "default_worker", + "libray_api.so", + ], + visibility = ["//visibility:private"], +) + genrule( name = "ray_cpp_pkg", srcs = [ @@ -163,7 +173,7 @@ genrule( echo "$$WORK_DIR" > $@ """, local = 1, - visibility = ["//visibility:public"], + visibility = ["//visibility:private"], ) # test @@ -200,8 +210,8 @@ cc_test( data = [ "counter.so", "plus.so", - "ray_cpp_pkg", "src/ray/test/cluster/test_cross_language_invocation.py", + ":ray_cpp_pkg_files", ], linkstatic = True, tags = ["team:core"], @@ -223,7 +233,7 @@ cc_test( ], copts = COPTS, data = [ - "ray_cpp_pkg", + ":ray_cpp_pkg_files", "//java:libio_ray_ray_test.jar", ], linkstatic = True, @@ -392,8 +402,6 @@ cc_binary( ], ) -load("//bazel:python.bzl", "py_test_module_list") - py_test_module_list( size = "medium", extra_srcs = [], diff --git a/python/setup.py b/python/setup.py index 94985e085d41..819485648fd6 100644 --- a/python/setup.py +++ b/python/setup.py @@ -528,7 +528,8 @@ def build(build_python, build_java, build_cpp): ) raise OSError(msg) - bazel_env = dict(os.environ, PYTHON3_BIN_PATH=sys.executable) + bazel_env = os.environ.copy() + bazel_env["PYTHON3_BIN_PATH"] = sys.executable if is_native_windows_or_msys(): SHELL = bazel_env.get("SHELL") From 1fa5db05662c0978b87d065364df2ad7c85d17bd Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 7 Jul 2025 10:39:32 -0400 Subject: [PATCH 0052/1566] [core] Don't try to monitor zipped files (#53151) ## Why are these changes needed? Some users may implement their own log rotation on autoscaler event files. If zipping the files during rotation, the event agent will still try to read zipped files and raise an exception causing that file monitor to fail. We try to open the files every 0.1 seconds. We only need to look for new events in .log files that are actively being written to. This pr prevents opening and looking for changes in zipped files. There will be no further changes in these files, so we don't need to monitor them. This can lead to exceptions like ``` Exception: Read event file failed: /tmp/ray/session_2025-04-30_09-40-39_975641_2270/logs/events/event_AUTOSCALER.log.2.gz raise Exception(f"Read event file failed: {file}") from e File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/dashboard/modules/event/event_utils.py", line 176, in _read_monitor_file ``` ### Future state Long term we'll kill this event agent / head entirely with the new observability stack, and Ray will stop writing events to files. Any events should follow a similar path to the new task events. An rpc with events should be sent to the gcs from the component emitting the events and the events will eventually get persisted in some storage, users can plug-in their own storage to persist. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/event/event_utils.py | 2 +- python/ray/dashboard/modules/event/tests/test_event.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/python/ray/dashboard/modules/event/event_utils.py b/python/ray/dashboard/modules/event/event_utils.py index eebf44781679..9597a242fdc2 100644 --- a/python/ray/dashboard/modules/event/event_utils.py +++ b/python/ray/dashboard/modules/event/event_utils.py @@ -24,7 +24,7 @@ def _get_source_files(event_dir, source_types=None, event_file_filter=None): assert source_type in all_source_types, f"Invalid source type: {source_type}" files = [] for n in event_log_names: - if fnmatch.fnmatch(n, f"*{source_type}*"): + if fnmatch.fnmatch(n, f"*{source_type}*.log"): f = os.path.join(event_dir, n) if event_file_filter is not None and not event_file_filter(f): continue diff --git a/python/ray/dashboard/modules/event/tests/test_event.py b/python/ray/dashboard/modules/event/tests/test_event.py index 3d46d254222a..87200781a9f5 100644 --- a/python/ray/dashboard/modules/event/tests/test_event.py +++ b/python/ray/dashboard/modules/event/tests/test_event.py @@ -137,7 +137,7 @@ def test_event_basic(disable_aiohttp_cache, ray_start_with_dashboard): __name__ + str(random.random()), test_log_file, max_bytes=2000, - backup_count=1000, + backup_count=0, ) for i in range(test_count): sample_event = _get_event(str(i), job_id=job_id, source_type=source_type) @@ -262,7 +262,7 @@ async def test_monitor_events(): common = event_pb2.Event.SourceType.Name(event_pb2.Event.COMMON) common_log = os.path.join(temp_dir, f"event_{common}.log") test_logger = _test_logger( - __name__ + str(random.random()), common_log, max_bytes=10, backup_count=10 + __name__ + str(random.random()), common_log, max_bytes=10, backup_count=0 ) test_events1 = [] monitor_task = monitor_events( @@ -314,7 +314,7 @@ async def _check_events(expect_events, read_events, timeout=10): log_file_count = len(os.listdir(temp_dir)) test_logger = _test_logger( - __name__ + str(random.random()), common_log, max_bytes=1000, backup_count=10 + __name__ + str(random.random()), common_log, max_bytes=1000, backup_count=0 ) assert len(os.listdir(temp_dir)) == log_file_count @@ -333,7 +333,7 @@ async def _check_events(expect_events, read_events, timeout=10): await monitor_task assert monitor_task.done() - assert len(os.listdir(temp_dir)) > 1, "Event log should have rollovers." + assert len(os.listdir(temp_dir)) == 1, "There should just be 1 event log" @pytest.mark.parametrize("autoscaler_v2", [False, True], ids=["v1", "v2"]) From 538fb734afd66121ddab69df5b78b38a39eb0d7c Mon Sep 17 00:00:00 2001 From: Rueian Date: Mon, 7 Jul 2025 07:43:59 -0700 Subject: [PATCH 0053/1566] [core][refactor] move NodeManager::KillWorker to WorkerInterface::KillAsync for better testability (#54068) Following the suggestion in https://github.com/ray-project/ray/pull/53562#discussion_r2157785191, this PR moves `NodeManager::KillWorker` to `WorkerInterface::Kill` so that we can mock the method for testing if it is invoked or not, instead of spawning a real process to see if it is killed or not. As a side effect, this will also eliminate the confusion between `NodeManager::KillWorker` and `NodeManager::DestroyWorker`. --------- Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- src/mock/ray/raylet/worker.h | 4 +++ src/ray/raylet/node_manager.cc | 35 ++++------------------ src/ray/raylet/node_manager.h | 12 -------- src/ray/raylet/test/node_manager_test.cc | 33 +++++--------------- src/ray/raylet/test/util.h | 5 ++++ src/ray/raylet/worker.cc | 38 ++++++++++++++++++++++++ src/ray/raylet/worker.h | 11 ++++++- 7 files changed, 69 insertions(+), 69 deletions(-) diff --git a/src/mock/ray/raylet/worker.h b/src/mock/ray/raylet/worker.h index 1f0a04837b50..8db26f9559d6 100644 --- a/src/mock/ray/raylet/worker.h +++ b/src/mock/ray/raylet/worker.h @@ -20,6 +20,10 @@ class MockWorkerInterface : public WorkerInterface { MOCK_METHOD(rpc::WorkerType, GetWorkerType, (), (const, override)); MOCK_METHOD(void, MarkDead, (), (override)); MOCK_METHOD(bool, IsDead, (), (const, override)); + MOCK_METHOD(void, + KillAsync, + (instrumented_io_context & io_service, bool force), + (override)); MOCK_METHOD(void, MarkBlocked, (), (override)); MOCK_METHOD(void, MarkUnblocked, (), (override)); MOCK_METHOD(bool, IsBlocked, (), (const, override)); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 864f1c0dd51e..335afc13c51c 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -383,31 +383,6 @@ ray::Status NodeManager::RegisterGcs() { return ray::Status::OK(); } -void NodeManager::KillWorker(std::shared_ptr worker, bool force) { - if (force) { - worker->GetProcess().Kill(); - return; - } -#ifdef _WIN32 -// TODO(mehrdadn): implement graceful process termination mechanism -#else - // If we're just cleaning up a single worker, allow it some time to clean - // up its state before force killing. The client socket will be closed - // and the worker struct will be freed after the timeout. - kill(worker->GetProcess().GetId(), SIGTERM); -#endif - - auto retry_timer = std::make_shared(io_service_); - auto retry_duration = boost::posix_time::milliseconds( - RayConfig::instance().kill_worker_timeout_milliseconds()); - retry_timer->expires_from_now(retry_duration); - retry_timer->async_wait([retry_timer, worker](const boost::system::error_code &error) { - RAY_LOG(DEBUG) << "Send SIGKILL to worker, pid=" << worker->GetProcess().GetId(); - // Force kill worker - worker->GetProcess().Kill(); - }); -} - void NodeManager::DestroyWorker(std::shared_ptr worker, rpc::WorkerExitType disconnect_type, const std::string &disconnect_detail, @@ -418,7 +393,7 @@ void NodeManager::DestroyWorker(std::shared_ptr worker, DisconnectClient( worker->Connection(), /*graceful=*/false, disconnect_type, disconnect_detail); worker->MarkDead(); - KillWorker(worker, force); + worker->KillAsync(io_service_, force); if (disconnect_type == rpc::WorkerExitType::SYSTEM_ERROR) { number_workers_killed_++; } else if (disconnect_type == rpc::WorkerExitType::NODE_OUT_OF_MEMORY) { @@ -462,7 +437,7 @@ void NodeManager::HandleJobFinished(const JobID &job_id, const JobTableData &job << "Failed to send exit request to worker " << ": " << status.ToString() << ". Killing it using SIGKILL instead."; // Just kill-9 as a last resort. - KillWorker(worker, /* force */ true); + worker->KillAsync(io_service_, /* force */ true); } }); } @@ -472,7 +447,7 @@ void NodeManager::HandleJobFinished(const JobID &job_id, const JobTableData &job // TODO(edoakes): the connection management and logic to destroy a worker should live // inside of the WorkerPool. We also need to unify the destruction paths between -// DestroyWorker, DisconnectWorker, and KillWorker. +// DestroyWorker, and DisconnectWorker. void NodeManager::CheckForUnexpectedWorkerDisconnects() { std::vector> all_connections; std::vector> all_workers = @@ -870,7 +845,7 @@ void NodeManager::NodeRemoved(const NodeID &node_id) { // worker. RAY_LOG(INFO).WithField(worker->WorkerId()).WithField(owner_node_id) << "The leased worker is killed because the owner node died."; - KillWorker(worker); + worker->KillAsync(io_service_); } // Below, when we remove node_id from all of these data structures, we could @@ -913,7 +888,7 @@ void NodeManager::HandleUnexpectedWorkerFailure(const WorkerID &worker_id) { RAY_LOG(INFO) << "The leased worker " << worker->WorkerId() << " is killed because the owner process " << owner_worker_id << " died."; - KillWorker(worker); + worker->KillAsync(io_service_); } } diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 74b63f4a1338..1235a62d9f33 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -411,18 +411,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param worker Shared ptr to the worker, or nullptr if lost. void HandleDirectCallTaskUnblocked(const std::shared_ptr &worker); - /// Kill a worker. - /// - /// This shouldn't be directly used to kill a worker. If you use this API - /// the worker's crash cause is not correctly recorded (it will be either SIGTERM - /// or an unexpected failure). Use `DestroyWorker` instead. - /// - /// \param worker The worker to kill. - /// \param force true to kill immediately, false to give time for the worker to - /// clean up and exit gracefully. - /// \return Void. - void KillWorker(std::shared_ptr worker, bool force = false); - /// Destroy a worker. /// We will disconnect the worker connection first and then kill the worker. /// diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index d298e2121578..f18e53262e74 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -386,8 +386,7 @@ class NodeManagerTest : public ::testing::Test { return std::make_shared(); }) { RayConfig::instance().initialize(R"({ - "raylet_liveness_self_check_interval_ms": 100, - "kill_worker_timeout_milliseconds": 10 + "raylet_liveness_self_check_interval_ms": 100 })"); NodeManagerConfig node_manager_config{}; @@ -622,13 +621,8 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { promise.set_value(status); }); - // Prepare a mock worker with a real process so that we can check if the process is - // alive later. + // Prepare a mock worker and check if it is not killed later. const auto worker = std::make_shared(WorkerID::FromRandom(), 10); - auto [proc, spawn_error] = - Process::Spawn(std::vector{"sleep", "1000"}, true); - EXPECT_FALSE(spawn_error); - worker->SetProcess(proc); // Complete the RequestWorkerLease rpc with the mock worker. pop_worker_callback(worker, PopWorkerStatus::OK, ""); EXPECT_TRUE(promise.get_future().get().ok()); @@ -639,13 +633,9 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { rpc::WorkerDeltaData delta_data; delta_data.set_worker_id(owner_worker_id.Binary()); publish_worker_failure_callback(std::move(delta_data)); - // Wait for more than kill_worker_timeout_milliseconds. - std::this_thread::sleep_for(std::chrono::seconds(1)); - // The process should still be alive because it should not be killed by + // The worker should still be alive because it should not be killed by // publish_worker_failure_callback. - EXPECT_TRUE(proc.IsAlive()); - // clean up. - proc.Kill(); + EXPECT_FALSE(worker->IsKilled()); } TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { @@ -712,13 +702,8 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { promise.set_value(status); }); - // Prepare a mock worker with a real process so that we can check if the process is - // alive later. + // Prepare a mock worker and check if it is not killed later. const auto worker = std::make_shared(WorkerID::FromRandom(), 10); - auto [proc, spawn_error] = - Process::Spawn(std::vector{"sleep", "1000"}, true); - EXPECT_FALSE(spawn_error); - worker->SetProcess(proc); // Complete the RequestWorkerLease rpc with the mock worker. pop_worker_callback(worker, PopWorkerStatus::OK, ""); EXPECT_TRUE(promise.get_future().get().ok()); @@ -729,13 +714,9 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { GcsNodeInfo node_info; node_info.set_state(GcsNodeInfo::DEAD); publish_node_change_callback(owner_node_id, std::move(node_info)); - // Wait for more than kill_worker_timeout_milliseconds. - std::this_thread::sleep_for(std::chrono::seconds(1)); - // The process should still be alive because it should not be killed by + // The worker should still be alive because it should not be killed by // publish_node_change_callback. - EXPECT_TRUE(proc.IsAlive()); - // clean up. - proc.Kill(); + EXPECT_FALSE(worker->IsKilled()); } TEST_F(NodeManagerTest, TestPinningAnObjectPendingDeletionFails) { diff --git a/src/ray/raylet/test/util.h b/src/ray/raylet/test/util.h index 55a350af9287..74176158b35f 100644 --- a/src/ray/raylet/test/util.h +++ b/src/ray/raylet/test/util.h @@ -87,6 +87,10 @@ class MockWorker : public WorkerInterface { RAY_CHECK(false) << "Method unused"; return false; } + void KillAsync(instrumented_io_context &io_service, bool force) override { + killed_.store(true); + } + bool IsKilled() const { return killed_.load(); } void MarkBlocked() override { blocked_ = true; } void MarkUnblocked() override { blocked_ = false; } bool IsBlocked() const override { return blocked_; } @@ -199,6 +203,7 @@ class MockWorker : public WorkerInterface { JobID job_id_; ActorID root_detached_actor_id_; Process proc_; + std::atomic killed_ = false; }; } // namespace raylet diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index 4ce55df2f3dc..d6e97fcdcd2f 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -49,6 +49,7 @@ Worker::Worker(const JobID &job_id, runtime_env_hash_(runtime_env_hash), bundle_id_(std::make_pair(PlacementGroupID::Nil(), -1)), dead_(false), + killing_(false), blocked_(false), client_call_manager_(client_call_manager) {} @@ -58,6 +59,43 @@ void Worker::MarkDead() { dead_ = true; } bool Worker::IsDead() const { return dead_; } +void Worker::KillAsync(instrumented_io_context &io_service, bool force) { + if (killing_.exchange(true)) { // TODO(rueian): could we just reuse the dead_ flag? + return; // This is not the first time calling KillAsync, do nothing. + } + const auto worker = shared_from_this(); + if (force) { + worker->GetProcess().Kill(); + return; + } +#ifdef _WIN32 + // TODO(mehrdadn): implement graceful process termination mechanism +#else + // Attempt to gracefully shutdown the worker before force killing it. + kill(worker->GetProcess().GetId(), SIGTERM); +#endif + + auto retry_timer = std::make_shared(io_service); + auto timeout = RayConfig::instance().kill_worker_timeout_milliseconds(); + auto retry_duration = boost::posix_time::milliseconds(timeout); + retry_timer->expires_from_now(retry_duration); + retry_timer->async_wait( + [timeout, retry_timer, worker](const boost::system::error_code &error) { +#ifdef _WIN32 +#else + if (worker->GetProcess().IsAlive()) { + RAY_LOG(INFO) << "Worker with PID=" << worker->GetProcess().GetId() + << " did not exit after " << timeout + << "ms, force killing with SIGKILL."; + } else { + return; + } +#endif + // Force kill worker + worker->GetProcess().Kill(); + }); +} + void Worker::MarkBlocked() { blocked_ = true; } void Worker::MarkUnblocked() { blocked_ = false; } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 4da65e9fa30b..ab3b1ba6d77c 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -46,6 +46,7 @@ class WorkerInterface { virtual rpc::WorkerType GetWorkerType() const = 0; virtual void MarkDead() = 0; virtual bool IsDead() const = 0; + virtual void KillAsync(instrumented_io_context &io_service, bool force = false) = 0; virtual void MarkBlocked() = 0; virtual void MarkUnblocked() = 0; virtual bool IsBlocked() const = 0; @@ -136,7 +137,7 @@ class WorkerInterface { /// Worker class encapsulates the implementation details of a worker. A worker /// is the execution container around a unit of Ray work, such as a task or an /// actor. Ray units of work execute in the context of a Worker. -class Worker : public WorkerInterface { +class Worker : public std::enable_shared_from_this, public WorkerInterface { public: /// A constructor that initializes a worker object. /// NOTE: You MUST manually set the worker process. @@ -154,6 +155,12 @@ class Worker : public WorkerInterface { rpc::WorkerType GetWorkerType() const; void MarkDead(); bool IsDead() const; + /// Kill the worker process. This is idempotent. + /// \param io_service for scheduling the graceful period timer. + /// \param force true to kill immediately, false to give time for the worker to clean up + /// and exit gracefully. + /// \return Void. + void KillAsync(instrumented_io_context &io_service, bool force = false); void MarkBlocked(); void MarkUnblocked(); bool IsBlocked() const; @@ -297,6 +304,8 @@ class Worker : public WorkerInterface { BundleID bundle_id_; /// Whether the worker is dead. bool dead_; + /// Whether the worker is killed by the Kill method. + std::atomic killing_; /// Whether the worker is blocked. Workers become blocked in a `ray.get`, if /// they require a data dependency while executing a task. bool blocked_; From d64e8a7dc8ccb54cfd66dab5f69207850f009146 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Mon, 7 Jul 2025 08:16:18 -0700 Subject: [PATCH 0054/1566] [core][GPU Objects] Add related tests for tensordict (#54286) The current code already supports extracting tensors from `tensordict`, and using external transport to transfer the tensors. This PR adds some tests to prove this (e.g., checking the extracted tensor stored in the gpu object manager, and testing nested tensordict). Closes #52340. Signed-off-by: Douglas Strodtman --- python/ray/tests/test_gpu_objects_gloo.py | 73 ++++++++++++++++++++++- python/requirements/test-requirements.txt | 3 + python/requirements_compiled.txt | 11 +++- 3 files changed, 84 insertions(+), 3 deletions(-) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index b48ef625ae35..ef46ee38d1e0 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -2,6 +2,7 @@ import random import torch import pytest +from tensordict import TensorDict import ray from ray.experimental.collective import create_collective_group from ray._private.custom_types import TensorTransportEnum @@ -15,7 +16,9 @@ def echo(self, data): def double(self, data): if isinstance(data, list): - return [d * 2 for d in data] + return [self.double(d) for d in data] + if isinstance(data, TensorDict): + return data.apply(lambda x: x * 2) return data * 2 def get_gpu_object(self, obj_id: str): @@ -104,8 +107,14 @@ def test_multiple_tensors(ray_start_regular): tensor1 = torch.randn((1,)) tensor2 = torch.randn((2,)) + td1 = TensorDict( + {"action1": torch.randn((2,)), "reward1": torch.randn((2,))}, batch_size=[2] + ) + td2 = TensorDict( + {"action2": torch.randn((2,)), "reward2": torch.randn((2,))}, batch_size=[2] + ) cpu_data = random.randint(0, 100) - data = [tensor1, tensor2, cpu_data] + data = [tensor1, tensor2, cpu_data, td1, td2] sender, receiver = actors[0], actors[1] ref = sender.echo.remote(data) @@ -115,6 +124,10 @@ def test_multiple_tensors(ray_start_regular): assert result[0] == pytest.approx(tensor1 * 2) assert result[1] == pytest.approx(tensor2 * 2) assert result[2] == cpu_data * 2 + assert result[3]["action1"] == pytest.approx(td1["action1"] * 2) + assert result[3]["reward1"] == pytest.approx(td1["reward1"] * 2) + assert result[4]["action2"] == pytest.approx(td2["action2"] * 2) + assert result[4]["reward2"] == pytest.approx(td2["reward2"] * 2) def test_trigger_out_of_band_tensor_transfer(ray_start_regular): @@ -187,5 +200,61 @@ def echo(self, data): return data +def test_tensordict_transfer(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + td = TensorDict( + {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] + ) + sender, receiver = actors[0], actors[1] + ref = sender.echo.remote(td) + result = receiver.double.remote(ref) + td_result = ray.get(result) + + assert td_result["action"] == pytest.approx(td["action"] * 2) + assert td_result["reward"] == pytest.approx(td["reward"] * 2) + + +def test_nested_tensordict(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + inner_td = TensorDict( + {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] + ) + outer_td = TensorDict( + {"inner_td": inner_td, "test": torch.randn((2,))}, batch_size=[2] + ) + sender = actors[0] + receiver = actors[1] + gpu_ref = sender.echo.remote(outer_td) + ret_val_src = ray.get(receiver.double.remote(gpu_ref)) + assert ret_val_src is not None + assert torch.equal(ret_val_src["inner_td"]["action"], inner_td["action"] * 2) + assert torch.equal(ret_val_src["inner_td"]["reward"], inner_td["reward"] * 2) + assert torch.equal(ret_val_src["test"], outer_td["test"] * 2) + + +def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular): + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + td = TensorDict( + {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] + ).to("cpu") + gpu_ref = actor.echo.remote(td) + + # Since the tensor is extracted from the tensordict, the `ret_val_src` will be a list of tensors + # instead of a tensordict. + ret_val_src = ray.get(actor.get_gpu_object.remote(gpu_ref.hex())) + assert ret_val_src is not None + assert len(ret_val_src) == 2 + assert torch.equal(ret_val_src[0], td["action"]) + assert torch.equal(ret_val_src[1], td["reward"]) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index eb2fa0b2bcb2..c340d7643e90 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -110,6 +110,9 @@ backoff==1.10 threadpoolctl==3.1.0 numexpr==2.8.4 +# For test_gpu_objects_gloo.py +tensordict==0.8.3 + # For `serve run --reload` CLI. watchfiles==0.19.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index fc55e870d692..e2cdc471ed39 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -307,6 +307,7 @@ cloudpickle==2.2.0 ; python_version < "3.12" # mlflow-skinny # pymars # statsforecast + # tensordict # tensorflow-probability cma==3.2.2 # via nevergrad @@ -790,6 +791,7 @@ importlib-metadata==6.11.0 # myst-nb # opentelemetry-api # pytest-virtualenv + # tensordict importlib-resources==5.13.0 # via # etils @@ -1261,6 +1263,7 @@ numpy==1.26.4 # supersuit # tensorboard # tensorboardx + # tensordict # tensorflow # tensorflow-datasets # tensorflow-probability @@ -1356,7 +1359,9 @@ opt-einsum==3.3.0 optuna==4.1.0 # via -r python/requirements/ml/tune-requirements.txt orjson==3.9.10 - # via gradio + # via + # gradio + # tensordict ormsgpack==1.7.0 # via -r python/requirements/ml/rllib-requirements.txt packaging==23.0 @@ -1404,6 +1409,7 @@ packaging==23.0 # sphinx # statsmodels # tensorboardx + # tensordict # tensorflow # torchmetrics # transformers @@ -2177,6 +2183,8 @@ tensorboardx==2.6.2.2 # -r python/requirements.txt # -r python/requirements/test-requirements.txt # pytorch-lightning +tensordict==0.8.3 + # via -r python/requirements/test-requirements.txt tensorflow==2.15.1 ; python_version < "3.12" and (sys_platform != "darwin" or platform_machine != "arm64") # via -r python/requirements/ml/dl-cpu-requirements.txt tensorflow-datasets==4.9.3 ; python_version < "3.12" @@ -2251,6 +2259,7 @@ torch==2.3.0 # pyro-ppl # pytorch-lightning # pytorch-ranger + # tensordict # timm # torch-optimizer # torchmetrics From 95667d01e423bd4045df05bc4bc07c52e48294ca Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 7 Jul 2025 09:21:38 -0700 Subject: [PATCH 0055/1566] [Data] - write_parquet enable both partition by & min_rows_per_file, max_rows_per_file (#53930) Signed-off-by: Douglas Strodtman --- .../_internal/datasource/parquet_datasink.py | 63 +++- python/ray/data/_internal/util.py | 34 +- python/ray/data/dataset.py | 36 +- python/ray/data/tests/test_parquet.py | 319 +++++++++++++++++- 4 files changed, 415 insertions(+), 37 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasink.py b/python/ray/data/_internal/datasource/parquet_datasink.py index f17eea7fdcbb..d0f5b65727b4 100644 --- a/python/ray/data/_internal/datasource/parquet_datasink.py +++ b/python/ray/data/_internal/datasource/parquet_datasink.py @@ -36,6 +36,49 @@ logger = logging.getLogger(__name__) +def choose_row_group_limits( + row_group_size: Optional[int], + min_rows_per_file: Optional[int], + max_rows_per_file: Optional[int], +) -> tuple[Optional[int], Optional[int], Optional[int]]: + """ + Configure `min_rows_per_group`, `max_rows_per_group`, `max_rows_per_file` parameters of Pyarrow's `write_dataset` API based on Ray Data's configuration + + Returns + ------- + (min_rows_per_group, max_rows_per_group, max_rows_per_file) + """ + + if ( + row_group_size is None + and min_rows_per_file is None + and max_rows_per_file is None + ): + return None, None, None + + elif row_group_size is None: + # No explicit row group size provided. We are defaulting to + # either the caller's min_rows_per_file or max_rows_per_file limits + # or Arrow's defaults + return min_rows_per_file, max_rows_per_file, max_rows_per_file + + elif row_group_size is not None and ( + min_rows_per_file is None or max_rows_per_file is None + ): + return row_group_size, row_group_size, max_rows_per_file + + else: + # Clamp the requested `row_group_size` so that it is + # * no smaller than `min_rows_per_file` (`lower`) + # * no larger than `max_rows_per_file` (or Arrow's default cap) (`upper`) + # This keeps each row-group within the per-file limits while staying + # as close as possible to the requested size. + clamped_group_size = max( + min_rows_per_file, min(row_group_size, max_rows_per_file) + ) + return clamped_group_size, clamped_group_size, max_rows_per_file + + class ParquetDatasink(_FileDatasink): def __init__( self, @@ -45,6 +88,7 @@ def __init__( arrow_parquet_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, arrow_parquet_args: Optional[Dict[str, Any]] = None, min_rows_per_file: Optional[int] = None, + max_rows_per_file: Optional[int] = None, filesystem: Optional["pyarrow.fs.FileSystem"] = None, try_create_dir: bool = True, open_stream_args: Optional[Dict[str, Any]] = None, @@ -61,8 +105,14 @@ def __init__( self.arrow_parquet_args_fn = arrow_parquet_args_fn self.arrow_parquet_args = arrow_parquet_args self.min_rows_per_file = min_rows_per_file + self.max_rows_per_file = max_rows_per_file self.partition_cols = partition_cols + if self.min_rows_per_file is not None and self.max_rows_per_file is not None: + assert ( + self.min_rows_per_file <= self.max_rows_per_file + ), "min_rows_per_file must be less than or equal to max_rows_per_file" + if open_stream_args is not None: intersecting_keys = UNSUPPORTED_OPEN_STREAM_ARGS.intersection( set(open_stream_args.keys()) @@ -194,9 +244,15 @@ def _write_parquet_files( self.mode, "overwrite_or_ignore" ) - # Set default row group size if not provided. Defaults are set by pyarrow. - min_rows_per_group = row_group_size if row_group_size else 0 - max_rows_per_group = row_group_size if row_group_size else 1024 * 1024 + ( + min_rows_per_group, + max_rows_per_group, + max_rows_per_file, + ) = choose_row_group_limits( + row_group_size, + min_rows_per_file=self.min_rows_per_file, + max_rows_per_file=self.max_rows_per_file, + ) basename_template = self._get_basename_template(filename, write_uuid) @@ -213,6 +269,7 @@ def _write_parquet_files( use_threads=True, min_rows_per_group=min_rows_per_group, max_rows_per_group=max_rows_per_group, + max_rows_per_file=max_rows_per_file, file_options=ds.ParquetFileFormat().make_write_options(**write_kwargs), ) diff --git a/python/ray/data/_internal/util.py b/python/ray/data/_internal/util.py index 31500e0ffbfd..80a929d9edf3 100644 --- a/python/ray/data/_internal/util.py +++ b/python/ray/data/_internal/util.py @@ -1497,16 +1497,20 @@ def convert_bytes_to_human_readable_str(num_bytes: int) -> str: def _validate_rows_per_file_args( - *, num_rows_per_file: Optional[int] = None, min_rows_per_file: Optional[int] = None -) -> Optional[int]: + *, + num_rows_per_file: Optional[int] = None, + min_rows_per_file: Optional[int] = None, + max_rows_per_file: Optional[int] = None, +) -> Tuple[Optional[int], Optional[int]]: """Helper method to validate and handle rows per file arguments. Args: num_rows_per_file: Deprecated parameter for number of rows per file min_rows_per_file: New parameter for minimum rows per file + max_rows_per_file: New parameter for maximum rows per file Returns: - The effective min_rows_per_file value to use + A tuple of (effective_min_rows_per_file, effective_max_rows_per_file) """ if num_rows_per_file is not None: import warnings @@ -1522,8 +1526,28 @@ def _validate_rows_per_file_args( "Cannot specify both `num_rows_per_file` and `min_rows_per_file`. " "Use `min_rows_per_file` as `num_rows_per_file` is deprecated." ) - return num_rows_per_file - return min_rows_per_file + min_rows_per_file = num_rows_per_file + + # Validate max_rows_per_file + if max_rows_per_file is not None and max_rows_per_file <= 0: + raise ValueError("max_rows_per_file must be a positive integer") + + # Validate min_rows_per_file + if min_rows_per_file is not None and min_rows_per_file <= 0: + raise ValueError("min_rows_per_file must be a positive integer") + + # Validate that max >= min if both are specified + if ( + min_rows_per_file is not None + and max_rows_per_file is not None + and min_rows_per_file > max_rows_per_file + ): + raise ValueError( + f"min_rows_per_file ({min_rows_per_file}) cannot be greater than " + f"max_rows_per_file ({max_rows_per_file})" + ) + + return min_rows_per_file, max_rows_per_file def is_nan(value) -> bool: diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index efd293a907cd..089049ee64f5 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -3341,6 +3341,7 @@ def write_parquet( filename_provider: Optional[FilenameProvider] = None, arrow_parquet_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, min_rows_per_file: Optional[int] = None, + max_rows_per_file: Optional[int] = None, ray_remote_args: Dict[str, Any] = None, concurrency: Optional[int] = None, num_rows_per_file: Optional[int] = None, @@ -3414,6 +3415,14 @@ def write_parquet( specified value, Ray Data writes the number of rows per block to each file. The specified value is a hint, not a strict limit. Ray Data might write more or fewer rows to each file. + max_rows_per_file: [Experimental] The target maximum number of rows to write + to each file. If ``None``, Ray Data writes a system-chosen number of + rows to each file. If the number of rows per block is smaller than the + specified value, Ray Data writes the number of rows per block to each file. + The specified value is a hint, not a strict limit. Ray Data + might write more or fewer rows to each file. If both ``min_rows_per_file`` + and ``max_rows_per_file`` are specified, ``max_rows_per_file`` takes + precedence when they cannot both be satisfied. ray_remote_args: Kwargs passed to :func:`ray.remote` in the write tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the @@ -3433,14 +3442,10 @@ def write_parquet( if arrow_parquet_args_fn is None: arrow_parquet_args_fn = lambda: {} # noqa: E731 - if partition_cols and (num_rows_per_file or min_rows_per_file): - raise ValueError( - "Cannot pass num_rows_per_file or min_rows_per_file when partition_cols " - "argument is specified" - ) - - effective_min_rows = _validate_rows_per_file_args( - num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file + effective_min_rows, effective_max_rows = _validate_rows_per_file_args( + num_rows_per_file=num_rows_per_file, + min_rows_per_file=min_rows_per_file, + max_rows_per_file=max_rows_per_file, ) datasink = ParquetDatasink( @@ -3448,7 +3453,8 @@ def write_parquet( partition_cols=partition_cols, arrow_parquet_args_fn=arrow_parquet_args_fn, arrow_parquet_args=arrow_parquet_args, - min_rows_per_file=effective_min_rows, # Pass through to datasink + min_rows_per_file=effective_min_rows, + max_rows_per_file=effective_max_rows, filesystem=filesystem, try_create_dir=try_create_dir, open_stream_args=arrow_open_stream_args, @@ -3566,7 +3572,7 @@ def write_json( if pandas_json_args_fn is None: pandas_json_args_fn = lambda: {} # noqa: E731 - effective_min_rows = _validate_rows_per_file_args( + effective_min_rows, _ = _validate_rows_per_file_args( num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file ) @@ -3823,7 +3829,7 @@ def write_csv( if arrow_csv_args_fn is None: arrow_csv_args_fn = lambda: {} # noqa: E731 - effective_min_rows = _validate_rows_per_file_args( + effective_min_rows, _ = _validate_rows_per_file_args( num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file ) @@ -3933,7 +3939,7 @@ def write_tfrecords( NOTE: This method isn't atomic. "Overwrite" first deletes all the data before writing to `path`. """ - effective_min_rows = _validate_rows_per_file_args( + effective_min_rows, _ = _validate_rows_per_file_args( num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file ) @@ -4030,7 +4036,7 @@ def write_webdataset( NOTE: This method isn't atomic. "Overwrite" first deletes all the data before writing to `path`. """ - effective_min_rows = _validate_rows_per_file_args( + effective_min_rows, _ = _validate_rows_per_file_args( num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file ) @@ -4130,7 +4136,7 @@ def write_numpy( NOTE: This method isn't atomic. "Overwrite" first deletes all the data before writing to `path`. """ - effective_min_rows = _validate_rows_per_file_args( + effective_min_rows, _ = _validate_rows_per_file_args( num_rows_per_file=num_rows_per_file, min_rows_per_file=min_rows_per_file ) @@ -4461,7 +4467,7 @@ def write_clickhouse( * order_by: Sets the `ORDER BY` clause in the `CREATE TABLE` statement, iff not provided. When overwriting an existing table, its previous `ORDER BY` (if any) is reused. - Otherwise, a “best” column is selected automatically (favoring a timestamp column, + Otherwise, a "best" column is selected automatically (favoring a timestamp column, then a non-string column, and lastly the first column). * partition_by: diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index 33e9e6d97693..cd27427b9f59 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -1,7 +1,8 @@ import os import shutil import time -from typing import Any +from dataclasses import dataclass +from typing import Any, Optional import numpy as np import pandas as pd @@ -1349,19 +1350,6 @@ def test_parquet_bulk_columns(ray_start_regular_shared): assert ds.columns() == ["variety"] -@pytest.mark.parametrize("min_rows_per_file", [5, 10, 50]) -def test_write_min_rows_per_file(tmp_path, ray_start_regular_shared, min_rows_per_file): - import pyarrow.parquet as pq - - ray.data.range(100, override_num_blocks=20).write_parquet( - tmp_path, min_rows_per_file=min_rows_per_file - ) - - for filename in os.listdir(tmp_path): - table = pq.read_table(os.path.join(tmp_path, filename)) - assert len(table) == min_rows_per_file - - @pytest.mark.parametrize("shuffle", [True, False, "file"]) def test_invalid_shuffle_arg_raises_error(ray_start_regular_shared, shuffle): @@ -1652,6 +1640,309 @@ def test_parquet_row_group_size_002(ray_start_regular_shared, tmp_path): assert ds.fragments[0].num_row_groups == 10 +@pytest.mark.parametrize("min_rows_per_file", [5, 10]) +def test_write_partition_cols_with_min_rows_per_file( + tmp_path, ray_start_regular_shared, min_rows_per_file +): + """Test write_parquet with both partition_cols and min_rows_per_file.""" + + # Create dataset with 2 partitions, each having 20 rows + df = pd.DataFrame( + { + "partition_col": [0] * 20 + [1] * 20, # 2 partitions with 20 rows each + "data": list(range(40)), + } + ) + + ds = ray.data.from_pandas(df) + ds.write_parquet( + tmp_path, partition_cols=["partition_col"], min_rows_per_file=min_rows_per_file + ) + + # Check partition directories exist + partition_0_dir = tmp_path / "partition_col=0" + partition_1_dir = tmp_path / "partition_col=1" + assert partition_0_dir.exists() + assert partition_1_dir.exists() + + # With the new implementation that tries to minimize file count, + # each partition (20 rows) should be written as a single file + # since 20 >= min_rows_per_file for both test cases (5 and 10) + for partition_dir in [partition_0_dir, partition_1_dir]: + parquet_files = list(partition_dir.glob("*.parquet")) + + # Verify total rows across all files in partition + total_rows = 0 + file_sizes = [] + for file_path in parquet_files: + table = pq.read_table(file_path) + file_size = len(table) + file_sizes.append(file_size) + total_rows += file_size + + assert total_rows == 20 # Each partition should have 20 rows total + + # Add explicit assertion about individual file sizes for clarity + print( + f"Partition {partition_dir.name} file sizes with min_rows_per_file={min_rows_per_file}: {file_sizes}" + ) + + # With the new optimization logic, we expect fewer files with larger sizes + # Each file should have at least min_rows_per_file rows + for file_size in file_sizes: + assert ( + file_size >= min_rows_per_file + ), f"File size {file_size} is less than min_rows_per_file {min_rows_per_file}" + + # Verify we can read back the data correctly + ds_read = ray.data.read_parquet(tmp_path) + assert ds_read.count() == 40 + assert set(ds_read.schema().names) == {"partition_col", "data"} + + # ------------------------------------------------------------------ + # Verify that the data written and read back are identical + # ------------------------------------------------------------------ + expected_df = df.sort_values("data").reset_index(drop=True) + actual_df = ds_read.to_pandas().sort_values("data").reset_index(drop=True) + + # Parquet partition values are read back as strings; cast both sides. + actual_df["partition_col"] = actual_df["partition_col"].astype(str) + expected_df["partition_col"] = expected_df["partition_col"].astype(str) + + # Align column order and compare. + actual_df = actual_df[expected_df.columns] + pd.testing.assert_frame_equal(actual_df, expected_df, check_dtype=False) + + +@pytest.mark.parametrize("max_rows_per_file", [5, 10, 25]) +def test_write_max_rows_per_file(tmp_path, ray_start_regular_shared, max_rows_per_file): + ray.data.range(100, override_num_blocks=1).write_parquet( + tmp_path, max_rows_per_file=max_rows_per_file + ) + + total_rows = 0 + file_sizes = [] + for filename in os.listdir(tmp_path): + table = pq.read_table(os.path.join(tmp_path, filename)) + file_size = len(table) + file_sizes.append(file_size) + assert file_size <= max_rows_per_file + total_rows += file_size + + # Verify all rows were written + assert total_rows == 100 + + # Add explicit assertion about individual file sizes for clarity + print(f"File sizes with max_rows_per_file={max_rows_per_file}: {file_sizes}") + for size in file_sizes: + assert ( + size <= max_rows_per_file + ), f"File size {size} exceeds max_rows_per_file {max_rows_per_file}" + + # ------------------------------------------------------------------ + # Verify the parquet round-trip: written data == read-back data + # ------------------------------------------------------------------ + ds_reloaded = ray.data.read_parquet(tmp_path) + assert ds_reloaded.count() == 100 + + expected_df = ( + pd.DataFrame({"id": list(range(100))}).sort_values("id").reset_index(drop=True) + ) + actual_df = ds_reloaded.to_pandas().sort_values("id").reset_index(drop=True) + + pd.testing.assert_frame_equal(actual_df, expected_df, check_dtype=False) + + +@pytest.mark.parametrize( + "min_rows_per_file,max_rows_per_file", [(5, 10), (10, 20), (15, 30)] +) +def test_write_min_max_rows_per_file( + tmp_path, ray_start_regular_shared, min_rows_per_file, max_rows_per_file +): + ray.data.range(100, override_num_blocks=1).write_parquet( + tmp_path, + min_rows_per_file=min_rows_per_file, + max_rows_per_file=max_rows_per_file, + ) + + total_rows = 0 + file_sizes = [] + for filename in os.listdir(tmp_path): + table = pq.read_table(os.path.join(tmp_path, filename)) + file_size = len(table) + file_sizes.append(file_size) + total_rows += file_size + + # Verify all rows were written + assert total_rows == 100 + + # Add explicit assertion about individual file sizes for clarity + print( + f"File sizes with min={min_rows_per_file}, max={max_rows_per_file}: {file_sizes}" + ) + for size in file_sizes: + if size < min_rows_per_file: + print( + f"File size {size} is less than min_rows_per_file {min_rows_per_file}" + ) + assert ( + size <= max_rows_per_file + ), f"File size {size} not less than {max_rows_per_file}" + + # ------------------------------------------------------------------ + # Verify the parquet round-trip: written data == read-back data + # ------------------------------------------------------------------ + ds_reloaded = ray.data.read_parquet(tmp_path) + assert ds_reloaded.count() == 100 + + expected_df = ( + pd.DataFrame({"id": list(range(100))}).sort_values("id").reset_index(drop=True) + ) + actual_df = ds_reloaded.to_pandas().sort_values("id").reset_index(drop=True) + + pd.testing.assert_frame_equal(actual_df, expected_df, check_dtype=False) + + +def test_write_max_rows_per_file_validation(tmp_path, ray_start_regular_shared): + """Test validation of max_rows_per_file parameter.""" + + # Test negative value + with pytest.raises( + ValueError, match="max_rows_per_file must be a positive integer" + ): + ray.data.range(100).write_parquet(tmp_path, max_rows_per_file=-1) + + # Test zero value + with pytest.raises( + ValueError, match="max_rows_per_file must be a positive integer" + ): + ray.data.range(100).write_parquet(tmp_path, max_rows_per_file=0) + + +def test_write_min_max_rows_per_file_validation(tmp_path, ray_start_regular_shared): + """Test validation when both min and max are specified.""" + + # Test min > max + with pytest.raises( + ValueError, + match="min_rows_per_file .* cannot be greater than max_rows_per_file", + ): + ray.data.range(100).write_parquet( + tmp_path, min_rows_per_file=20, max_rows_per_file=10 + ) + + +@pytest.mark.parametrize("max_rows_per_file", [5, 10]) +def test_write_partition_cols_with_max_rows_per_file( + tmp_path, ray_start_regular_shared, max_rows_per_file +): + """Test max_rows_per_file with partition columns.""" + import pyarrow.parquet as pq + + # Create data with partition column + def create_row(row): + i = row["id"] + return {"id": i, "partition": i % 3, "value": f"value_{i}"} + + ds = ray.data.range(30).map(create_row) + ds.write_parquet( + tmp_path, partition_cols=["partition"], max_rows_per_file=max_rows_per_file + ) + + # Check each partition directory + total_rows = 0 + all_file_sizes = [] + for partition_dir in os.listdir(tmp_path): + partition_path = os.path.join(tmp_path, partition_dir) + if os.path.isdir(partition_path): + partition_file_sizes = [] + for filename in os.listdir(partition_path): + if filename.endswith(".parquet"): + table = pq.read_table(os.path.join(partition_path, filename)) + file_size = len(table) + partition_file_sizes.append(file_size) + assert file_size <= max_rows_per_file + total_rows += file_size + all_file_sizes.extend(partition_file_sizes) + print( + f"Partition {partition_dir} file sizes with max_rows_per_file={max_rows_per_file}: {partition_file_sizes}" + ) + + # Verify all rows were written + assert total_rows == 30 + + # Add explicit assertion about individual file sizes for clarity + for size in all_file_sizes: + assert ( + size <= max_rows_per_file + ), f"File size {size} exceeds max_rows_per_file {max_rows_per_file}" + + # ------------------------------------------------------------------ + # Verify the parquet round-trip: data read back must equal original + # ------------------------------------------------------------------ + ds_reloaded = ray.data.read_parquet(tmp_path) + assert ds_reloaded.count() == 30 + + expected_rows = [ + {"id": i, "partition": i % 3, "value": f"value_{i}"} for i in range(30) + ] + expected_df = pd.DataFrame(expected_rows).sort_values("id").reset_index(drop=True) + actual_df = ds_reloaded.to_pandas().sort_values("id").reset_index(drop=True) + + # Align column order for a strict equality check. + actual_df = actual_df[expected_df.columns] + # Parquet partition values are read back as strings; make both sides `str` + # so the value-level comparison succeeds (dtype may still differ). + actual_df["partition"] = actual_df["partition"].astype(str) + expected_df["partition"] = expected_df["partition"].astype(str) + + pd.testing.assert_frame_equal(actual_df, expected_df, check_dtype=False) + + +@dataclass +class RowGroupLimitCase: + row_group_size: Optional[int] + min_rows_per_file: Optional[int] + max_rows_per_file: Optional[int] + expected_min: Optional[int] + expected_max: Optional[int] + expected_max_file: Optional[int] + + +ROW_GROUP_LIMIT_CASES = [ + RowGroupLimitCase(None, None, None, None, None, None), + RowGroupLimitCase(1000, None, None, 1000, 1000, None), + RowGroupLimitCase(None, 500, None, 500, None, None), + RowGroupLimitCase(None, None, 2000, None, 2000, 2000), + RowGroupLimitCase(1000, 500, 2000, 1000, 1000, 2000), + RowGroupLimitCase(3000, 500, 2000, 2000, 2000, 2000), +] + + +@pytest.mark.parametrize( + "case", + ROW_GROUP_LIMIT_CASES, + ids=[f"case_{i}" for i in range(len(ROW_GROUP_LIMIT_CASES))], +) +def test_choose_row_group_limits_parameterized(case): + """Validate the helper across representative inputs.""" + from ray.data._internal.datasource.parquet_datasink import choose_row_group_limits + + result = choose_row_group_limits( + case.row_group_size, case.min_rows_per_file, case.max_rows_per_file + ) + assert result == ( + case.expected_min, + case.expected_max, + case.expected_max_file, + ), f"Unexpected result for {case}" + + # Invariants when both bounds are known. + min_rows, max_rows, _ = result + if min_rows is not None and max_rows is not None: + assert min_rows <= max_rows + + if __name__ == "__main__": import sys From 36d40105d40afc5eaad973892e6f4a83070ce049 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 7 Jul 2025 09:36:44 -0700 Subject: [PATCH 0056/1566] [deps] remove time series and ludwig dependencies (#54316) not used anywhere Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/env/install-dependencies.sh | 18 ------------------ 1 file changed, 18 deletions(-) diff --git a/ci/env/install-dependencies.sh b/ci/env/install-dependencies.sh index e8b82453a10d..7964191d4508 100755 --- a/ci/env/install-dependencies.sh +++ b/ci/env/install-dependencies.sh @@ -276,24 +276,6 @@ install_pip_packages() { requirements_files+=("${WORKSPACE_DIR}/python/requirements/ml/tune-test-requirements.txt") fi - # Additional dependency for Ludwig. - # This cannot be included in requirements files as it has conflicting - # dependencies with Modin. - if [[ "${INSTALL_LUDWIG-}" == 1 ]]; then - # TODO: eventually pin this to master. - requirements_packages+=("ludwig[test]>=0.4") - requirements_packages+=("jsonschema>=4") - fi - - # Additional dependency for time series libraries. - # This cannot be included in tune-requirements.txt as it has conflicting - # dependencies. - if [[ "${INSTALL_TIMESERIES_LIBS-}" == 1 ]]; then - requirements_packages+=("statsforecast==1.5.0") - requirements_packages+=("prophet==1.1.1") - requirements_packages+=("holidays==0.24") # holidays 0.25 causes `import prophet` to fail. - fi - # Data processing test dependencies. if [[ "${DATA_PROCESSING_TESTING-}" == 1 || "${DOC_TESTING-}" == 1 ]]; then requirements_files+=("${WORKSPACE_DIR}/python/requirements/ml/data-requirements.txt") From 4221b2ebfc3949cdd7b36caa1f9e155028eef8aa Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 7 Jul 2025 12:44:52 -0400 Subject: [PATCH 0057/1566] [core] Get cloud provider with ray on kubernetes (#51793) On GKE ``` dhyey@cloudshell:~ (dhyey-dev)$ kubectl exec -it $HEAD_POD -- python -c "import requests; print(requests.get('http://metadata.google.internal/computeMetadata/v1',headers={'Metadata-Flavor': 'Google'}))" Defaulted container "ray-head" out of: ray-head, autoscaler dhyey@cloudshell:~ (dhyey-dev)$ kubectl exec -it $HEAD_POD -- python -c "import requests; print(requests.get('http://169.254.169.254/latest/meta-data/'))" Defaulted container "ray-head" out of: ray-head, autoscaler dhyey@cloudshell:~ (dhyey-dev)$ kubectl exec -it $HEAD_POD -- python -c "import requests; print(requests.get('http://169.254.169.254/metadata/instance?api-version=2021-02-01'))" Defaulted container "ray-head" out of: ray-head, autoscaler ``` On anyscale on eks (google metadata req results in ConnectionError) ``` >>> print(requests.get('http://169.254.169.254/latest/meta-data/')) >>> print(requests.get('http://169.254.169.254/metadata/instance?api-version=2021-02-01')) ``` Note: Untested on azure --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_private/usage/usage_lib.py | 42 +++++++++++++++++ python/ray/tests/test_usage_stats.py | 65 ++++++++++++++++++++++++-- 2 files changed, 103 insertions(+), 4 deletions(-) diff --git a/python/ray/_private/usage/usage_lib.py b/python/ray/_private/usage/usage_lib.py index 339888e40d9d..f548e5693417 100644 --- a/python/ray/_private/usage/usage_lib.py +++ b/python/ray/_private/usage/usage_lib.py @@ -700,6 +700,40 @@ def get_cluster_status_to_report(gcs_client) -> ClusterStatusToReport: return ClusterStatusToReport() +def get_cloud_from_metadata_requests() -> str: + def cloud_metadata_request(url: str, headers: Optional[Dict[str, str]]) -> bool: + try: + res = requests.get(url, headers=headers, timeout=1) + # The requests may be rejected based on pod configuration but if + # it's a machine on the cloud provider it should at least be reachable. + if res.status_code != 404: + return True + # ConnectionError is a superclass of ConnectTimeout + except requests.exceptions.ConnectionError: + pass + except Exception as e: + logger.info( + f"Unexpected exception when making cloud provider metadata request: {e}" + ) + return False + + # Make internal metadata requests to all 3 clouds + if cloud_metadata_request( + "http://metadata.google.internal/computeMetadata/v1", + {"Metadata-Flavor": "Google"}, + ): + return "gcp" + elif cloud_metadata_request("http://169.254.169.254/latest/meta-data/", None): + return "aws" + elif cloud_metadata_request( + "http://169.254.169.254/metadata/instance?api-version=2021-02-01", + {"Metadata": "true"}, + ): + return "azure" + else: + return "unknown" + + def get_cluster_config_to_report( cluster_config_file_path: str, ) -> ClusterConfigToReport: @@ -770,6 +804,7 @@ def get_instance_type(node_config): except FileNotFoundError: # It's a manually started cluster or k8s cluster result = ClusterConfigToReport() + # Check if we're on Kubernetes if usage_constant.KUBERNETES_SERVICE_HOST_ENV in os.environ: # Check if we're using KubeRay >= 0.4.0. @@ -778,6 +813,13 @@ def get_instance_type(node_config): # Else, we're on Kubernetes but not in either of the above categories. else: result.cloud_provider = usage_constant.PROVIDER_KUBERNETES_GENERIC + + # if kubernetes was not set as cloud_provider vs. was set before + if result.cloud_provider is None: + result.cloud_provider = get_cloud_from_metadata_requests() + else: + result.cloud_provider += f"_${get_cloud_from_metadata_requests()}" + return result except Exception as e: logger.info(f"Failed to get cluster config to report {e}") diff --git a/python/ray/tests/test_usage_stats.py b/python/ray/tests/test_usage_stats.py index 463813509e2c..1df4fe46a994 100644 --- a/python/ray/tests/test_usage_stats.py +++ b/python/ray/tests/test_usage_stats.py @@ -6,7 +6,7 @@ import threading from dataclasses import asdict from pathlib import Path -from unittest.mock import patch +from unittest.mock import Mock, patch from ray._common.test_utils import wait_for_condition from ray._raylet import GcsClient @@ -1020,13 +1020,20 @@ def test_usage_lib_get_cluster_config_to_report( cluster_config_to_report = ray_usage_lib.get_cluster_config_to_report( tmp_path / "does_not_exist.yaml" ) - assert cluster_config_to_report == ClusterConfigToReport() + # can't assert cloud_provider here because it will be set based on + # where the test is actually running + assert cluster_config_to_report.head_node_instance_type is None + assert cluster_config_to_report.min_workers is None + assert cluster_config_to_report.max_workers is None + assert cluster_config_to_report.worker_node_instance_types is None monkeypatch.setenv("KUBERNETES_SERVICE_HOST", "localhost") cluster_config_to_report = ray_usage_lib.get_cluster_config_to_report( tmp_path / "does_not_exist.yaml" ) - assert cluster_config_to_report.cloud_provider == "kubernetes" + # starts with because additional cloud provider info may be added depending on + # the environment + assert cluster_config_to_report.cloud_provider.startswith("kubernetes") assert cluster_config_to_report.min_workers is None assert cluster_config_to_report.max_workers is None assert cluster_config_to_report.head_node_instance_type is None @@ -1036,7 +1043,7 @@ def test_usage_lib_get_cluster_config_to_report( cluster_config_to_report = ray_usage_lib.get_cluster_config_to_report( tmp_path / "does_not_exist.yaml" ) - assert cluster_config_to_report.cloud_provider == "kuberay" + assert cluster_config_to_report.cloud_provider.startswith("kuberay") def test_usage_lib_report_data( @@ -1534,5 +1541,55 @@ def verify_dashboard_used(): wait_for_condition(verify_dashboard_used) +def test_get_cloud_from_metadata_requests(monkeypatch): + def create_mock_response(url: str, provider: str, error_providers: list[str]): + # Create a mock response based on the URL. + mock_response = Mock() + + if url == "http://metadata.google.internal/computeMetadata/v1": + # GCP endpoint + if "gcp" in error_providers: + print("raising") + raise requests.exceptions.ConnectionError() + mock_response.status_code = 200 if provider == "gcp" else 404 + elif url == "http://169.254.169.254/latest/meta-data/": + # AWS endpoint + if "aws" in error_providers: + raise requests.exceptions.ConnectionError() + mock_response.status_code = 200 if provider == "aws" else 404 + elif url == "http://169.254.169.254/metadata/instance?api-version=2021-02-01": + # Azure endpoint + if "azure" in error_providers: + raise requests.exceptions.ConnectionError() + mock_response.status_code = 200 if provider == "azure" else 404 + + return mock_response + + with patch("requests.get") as mock_get: + mock_get.side_effect = lambda url, **kwargs: create_mock_response( + url, "gcp", [] + ) + result = ray_usage_lib.get_cloud_from_metadata_requests() + assert result == "gcp" + + mock_get.side_effect = lambda url, **kwargs: create_mock_response( + url, "aws", [] + ) + result = ray_usage_lib.get_cloud_from_metadata_requests() + assert result == "aws" + + mock_get.side_effect = lambda url, **kwargs: create_mock_response( + url, "azure", ["gcp"] + ) + result = ray_usage_lib.get_cloud_from_metadata_requests() + assert result == "azure" + + mock_get.side_effect = lambda url, **kwargs: create_mock_response( + url, "", ["gcp", "aws", "azure"] + ) + result = ray_usage_lib.get_cloud_from_metadata_requests() + assert result == "unknown" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From 225eab0de3701393989a722dbf0557447aaf781a Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 7 Jul 2025 09:47:52 -0700 Subject: [PATCH 0058/1566] [serve] deflake `test_autoscaling_policy` (#54336) Increase the timeout in `test_e2e_raise_min_replicas` when waiting for the first replica to start. Especially if there are multiple tests running in parallel in CI, starting new replicas can be much slower. example failure: https://buildkite.com/ray-project/postmerge/builds/11251#0197d10c-7726-414b-8f62-8e507e887eb7/177-3331 Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../ray/serve/tests/test_autoscaling_policy.py | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 73b00a07d7b5..e328119bcfbb 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -34,6 +34,7 @@ check_num_replicas_gte, check_num_replicas_lte, get_num_alive_replicas, + tlog, ) from ray.serve.config import AutoscalingConfig from ray.serve.handle import DeploymentHandle @@ -855,26 +856,27 @@ def test_e2e_raise_min_replicas(serve_instance_with_signal): } client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - print("Deployed A.") + tlog("Deployed A.") wait_for_condition( check_deployment_status, name="A", expected_status=DeploymentStatus.HEALTHY ) start_time = get_deployment_start_time(controller, "A") + tlog(f"Deployment A is healthy, {start_time=}") check_num_replicas_eq("A", 0) handle = serve.get_deployment_handle("A", "default") handle.remote() - print("Issued one request.") + tlog("Issued one request.") - wait_for_condition(check_num_replicas_eq, name="A", target=1, timeout=2) - print("Scaled up to 1 replica.") + wait_for_condition(check_num_replicas_eq, name="A", target=1, timeout=5) + tlog("Scaled up to 1 replica.") first_deployment_replicas = get_running_replica_ids("A", controller) app_config["deployments"][0]["autoscaling_config"]["min_replicas"] = 2 client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - print("Redeployed A with min_replicas set to 2.") + tlog("Redeployed A with min_replicas set to 2.") wait_for_condition( check_deployment_status, name="A", expected_status=DeploymentStatus.HEALTHY ) @@ -882,7 +884,7 @@ def test_e2e_raise_min_replicas(serve_instance_with_signal): # Confirm that autoscaler doesn't scale above 2 even after waiting with pytest.raises(RuntimeError, match="timeout"): wait_for_condition(check_num_replicas_gte, name="A", target=3, timeout=5) - print("Autoscaled to 2 without issuing any new requests.") + tlog("Autoscaled to 2 without issuing any new requests.") second_deployment_replicas = get_running_replica_ids("A", controller) @@ -893,12 +895,12 @@ def test_e2e_raise_min_replicas(serve_instance_with_signal): signal.send.remote() time.sleep(1) - print("Completed request.") + tlog("Completed request.") # As the queue is drained, we should scale back down. wait_for_condition(check_num_replicas_lte, name="A", target=2) check_num_replicas_gte("A", 2) - print("Stayed at 2 replicas.") + tlog("Stayed at 2 replicas.") # Make sure start time did not change for the deployment assert get_deployment_start_time(controller, "A") == start_time From 4ce2a3f28f5a70ea45248985fb1fb3cf4e548961 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Mon, 7 Jul 2025 10:19:06 -0700 Subject: [PATCH 0059/1566] [data.llm] Log engine stats after each batch task is done. (#54360) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/batch/stages/vllm_engine_stage.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index d45349d8a6a3..9f01c222f771 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -475,7 +475,6 @@ def __init__( model=self.model, model_source=model_source, idx_in_batch_column=self.IDX_IN_BATCH_COLUMN, - disable_log_stats=False, disable_log_requests=True, max_pending_requests=self.max_pending_requests, dynamic_lora_loading_path=dynamic_lora_loading_path, @@ -567,6 +566,11 @@ async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any] time_taken, ) + # Log engine stats after each batch is done conditioned on the flag + # passed to the engine. + if not self.engine_kwargs.get("disable_log_stats", False): + await self.llm.engine.do_log_stats() + def __del__(self): if hasattr(self, "llm"): # Kill the engine processes. From 2572579c7ab6bdccf93a7960086d6ec966f6303f Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Mon, 7 Jul 2025 10:31:06 -0700 Subject: [PATCH 0060/1566] reduce number of loops over request headers from 2 to 1 (#54326) `__getitem__` on headers is a O(n) operation. Optimize the code to cut out the extra loop. --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index bceeb2b951b0..e34544df9674 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -657,11 +657,11 @@ def __init__(self, app: ASGIApp): async def __call__(self, scope: Scope, receive: Receive, send: Send): headers = MutableHeaders(scope=scope) - if SERVE_HTTP_REQUEST_ID_HEADER not in headers: + request_id = headers.get(SERVE_HTTP_REQUEST_ID_HEADER) + + if request_id is None: request_id = generate_request_id() headers.append(SERVE_HTTP_REQUEST_ID_HEADER, request_id) - elif SERVE_HTTP_REQUEST_ID_HEADER in headers: - request_id = headers[SERVE_HTTP_REQUEST_ID_HEADER] async def send_with_request_id(message: Message): if message["type"] == "http.response.start": From 68fe92199532da49b56ad778d653222657273c1b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:05:37 -0700 Subject: [PATCH 0061/1566] [ci] sync versions of pytest and pip-tools (#54315) sync to the versions used in lock files Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/test-macos-wheels.sh | 2 +- ci/docker/min.build.Dockerfile | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/build/test-macos-wheels.sh b/ci/build/test-macos-wheels.sh index d49ce4b1ccdd..d5f8751fdec4 100755 --- a/ci/build/test-macos-wheels.sh +++ b/ci/build/test-macos-wheels.sh @@ -90,7 +90,7 @@ for ((i=0; i<${#PY_MMS[@]}; ++i)); do "$PIP_CMD" install -q "$PYTHON_WHEEL" # Install the dependencies to run the tests. - "$PIP_CMD" install -q aiohttp numpy 'pytest==7.0.1' requests proxy.py + "$PIP_CMD" install -q aiohttp numpy 'pytest==7.4.4' requests proxy.py # Run a simple test script to make sure that the wheel works. # We set the python path to prefer the directory of the wheel content: https://github.com/ray-project/ray/pull/30090 diff --git a/ci/docker/min.build.Dockerfile b/ci/docker/min.build.Dockerfile index 8e9f0184e922..00e6082788d6 100644 --- a/ci/docker/min.build.Dockerfile +++ b/ci/docker/min.build.Dockerfile @@ -20,7 +20,7 @@ MINIMAL_INSTALL=1 PYTHON=${PYTHON_VERSION} ci/env/install-dependencies.sh rm -rf python/ray/thirdparty_files # install test requirements -python -m pip install -U pytest==7.0.1 pip-tools==7.3.0 +python -m pip install -U pytest==7.4.4 pip-tools==7.4.1 # install extra dependencies if [[ "${EXTRA_DEPENDENCY}" == "core" ]]; then From 2cbbef60adeb1692b8cfe764cab291a77a592d37 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:19:41 -0700 Subject: [PATCH 0062/1566] [data.llm] Decouple max_tasks_in_flight from max_concurrent_batches (#54362) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../ray/llm/_internal/batch/processor/base.py | 7 +++ .../batch/processor/sglang_engine_proc.py | 4 +- .../batch/processor/vllm_engine_proc.py | 4 +- .../gpu/processor/test_sglang_engine_proc.py | 43 +++++++++++++++++++ .../gpu/processor/test_vllm_engine_proc.py | 43 +++++++++++++++++++ 5 files changed, 97 insertions(+), 4 deletions(-) diff --git a/python/ray/llm/_internal/batch/processor/base.py b/python/ray/llm/_internal/batch/processor/base.py index 6e783fa2098f..049e5c2685f5 100644 --- a/python/ray/llm/_internal/batch/processor/base.py +++ b/python/ray/llm/_internal/batch/processor/base.py @@ -50,6 +50,13 @@ class ProcessorConfig(BaseModelExtended): description="The number of workers for data parallelism. Default to 1.", ) + experimental: Dict[str, Any] = Field( + default_factory=dict, + description="[Experimental] Experimental configurations." + "Supported keys:\n" + "`max_tasks_in_flight_per_actor`: The maximum number of tasks in flight per actor. Default to 4.", + ) + class Config: validate_assignment = True arbitrary_types_allowed = True diff --git a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py index 8b4a65ba730c..1156e830177d 100644 --- a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py @@ -125,8 +125,8 @@ def build_sglang_engine_processor( compute=ray.data.ActorPoolStrategy( min_size=config.concurrency, max_size=config.concurrency, - max_tasks_in_flight_per_actor=max( - config.max_concurrent_batches, DEFAULT_MAX_TASKS_IN_FLIGHT + max_tasks_in_flight_per_actor=config.experimental.get( + "max_tasks_in_flight_per_actor", DEFAULT_MAX_TASKS_IN_FLIGHT ), ), # The number of running batches "per actor" in Ray Core level. diff --git a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py index af7c97baf0df..2fdd80c641d4 100644 --- a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py @@ -161,8 +161,8 @@ def build_vllm_engine_processor( # concurrency, start all instances without auto-scaling. min_size=config.concurrency, max_size=config.concurrency, - max_tasks_in_flight_per_actor=max( - config.max_concurrent_batches, DEFAULT_MAX_TASKS_IN_FLIGHT + max_tasks_in_flight_per_actor=config.experimental.get( + "max_tasks_in_flight_per_actor", DEFAULT_MAX_TASKS_IN_FLIGHT ), ), # The number of running batches "per actor" in Ray Core level. diff --git a/python/ray/llm/tests/batch/gpu/processor/test_sglang_engine_proc.py b/python/ray/llm/tests/batch/gpu/processor/test_sglang_engine_proc.py index f7db47bf3abb..478e4663fe42 100644 --- a/python/ray/llm/tests/batch/gpu/processor/test_sglang_engine_proc.py +++ b/python/ray/llm/tests/batch/gpu/processor/test_sglang_engine_proc.py @@ -1,5 +1,6 @@ """This test suite does not need sglang to be installed.""" import sys +from unittest.mock import MagicMock, patch import pytest @@ -70,5 +71,47 @@ def test_sglang_engine_processor(gpu_type, model_llama_3_2_216M): } +class TestSGLangEngineProcessorConfig: + @pytest.mark.parametrize( + "experimental_config", + [ + {"max_tasks_in_flight_per_actor": 10}, + {}, + ], + ) + def test_experimental_max_tasks_in_flight_per_actor_usage( + self, experimental_config + ): + """Tests that max_tasks_in_flight_per_actor is set properly in the ActorPoolStrategy.""" + + from ray.llm._internal.batch.processor.base import DEFAULT_MAX_TASKS_IN_FLIGHT + from ray.llm._internal.batch.processor.sglang_engine_proc import ( + SGLangEngineProcessorConfig, + build_sglang_engine_processor, + ) + + with patch("ray.data.ActorPoolStrategy") as mock_actor_pool: + mock_actor_pool.return_value = MagicMock() + + config = SGLangEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + experimental=experimental_config, + ) + build_sglang_engine_processor(config) + + mock_actor_pool.assert_called() + call_kwargs = mock_actor_pool.call_args[1] + if experimental_config: + assert ( + call_kwargs["max_tasks_in_flight_per_actor"] + == experimental_config["max_tasks_in_flight_per_actor"] + ) + else: + assert ( + call_kwargs["max_tasks_in_flight_per_actor"] + == DEFAULT_MAX_TASKS_IN_FLIGHT + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py b/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py index ae52ee2f0637..88b2731fb468 100644 --- a/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py +++ b/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py @@ -1,4 +1,5 @@ import sys +from unittest.mock import MagicMock, patch import pytest @@ -242,5 +243,47 @@ def test_vision_model(gpu_type, model_smolvlm_256m): assert all("resp" in out for out in outs) +class TestVLLMEngineProcessorConfig: + @pytest.mark.parametrize( + "experimental_config", + [ + {"max_tasks_in_flight_per_actor": 10}, + {}, + ], + ) + def test_experimental_max_tasks_in_flight_per_actor_usage( + self, experimental_config + ): + """Tests that max_tasks_in_flight_per_actor is set properly in the ActorPoolStrategy.""" + + from ray.llm._internal.batch.processor.base import DEFAULT_MAX_TASKS_IN_FLIGHT + from ray.llm._internal.batch.processor.vllm_engine_proc import ( + build_vllm_engine_processor, + vLLMEngineProcessorConfig, + ) + + with patch("ray.data.ActorPoolStrategy") as mock_actor_pool: + mock_actor_pool.return_value = MagicMock() + + config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + experimental=experimental_config, + ) + build_vllm_engine_processor(config) + + mock_actor_pool.assert_called() + call_kwargs = mock_actor_pool.call_args[1] + if experimental_config: + assert ( + call_kwargs["max_tasks_in_flight_per_actor"] + == experimental_config["max_tasks_in_flight_per_actor"] + ) + else: + assert ( + call_kwargs["max_tasks_in_flight_per_actor"] + == DEFAULT_MAX_TASKS_IN_FLIGHT + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 7e6fd5d62499dc60fbfb925fbda978daaaf52e7c Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Mon, 7 Jul 2025 12:38:45 -0700 Subject: [PATCH 0063/1566] [train] Document ray.train.collective (#54340) Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- doc/source/train/api/api.rst | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/doc/source/train/api/api.rst b/doc/source/train/api/api.rst index 4b5c3bd5422d..0ce14afc6a39 100644 --- a/doc/source/train/api/api.rst +++ b/doc/source/train/api/api.rst @@ -147,6 +147,14 @@ Ray Train Utilities ~train.get_dataset_shard ~train.report +**Collective** + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + ~train.collective.barrier + ~train.collective.broadcast_from_rank_zero Ray Train Output ---------------- From fd7e43f620b09de8c3847d364cca52f630da818f Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 7 Jul 2025 14:47:05 -0500 Subject: [PATCH 0064/1566] [core] Deflake `test_actor_scheduling_not_block_with_placement_group` (#54368) This test was flaking in CI due to a timeout: https://buildkite.com/ray-project/postmerge/builds/11274#0197d7e7-a9ec-43fa-9b29-8561fbb34ec0/177-1584 As it was written, it was creating a 20 node cluster, which is far too stressful to be in CI. I've reduced the stressfulness of the workload to hopefully deflake, along with some other cleanup: - Improved the test name and header comment. - Removed the unnecessary `repeat(3)` that was burning CI time. - Used `pg.wait()` to unify the checks for actor and PG readiness. - Removed the captured nonlocal variable check. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_placement_group_3.py | 57 +++++++++------------- 1 file changed, 23 insertions(+), 34 deletions(-) diff --git a/python/ray/tests/test_placement_group_3.py b/python/ray/tests/test_placement_group_3.py index 67d491eb9932..1b1a234eccce 100644 --- a/python/ray/tests/test_placement_group_3.py +++ b/python/ray/tests/test_placement_group_3.py @@ -1,10 +1,12 @@ import os import sys import time +from typing import List import pytest import ray +from ray import ObjectRef from ray._common.test_utils import wait_for_condition import ray._private.gcs_utils as gcs_utils import ray.cluster_utils @@ -447,17 +449,14 @@ def f(): assert len(gpu_ids_res) == 2 -@pytest.mark.repeat(3) -def test_actor_scheduling_not_block_with_placement_group(ray_start_cluster): - """Tests the scheduling of lots of actors will not be blocked - when using placement groups. +def test_incremental_pg_and_actor_scheduling(ray_start_cluster): + """Tests that actors in pending PGs are scheduled as resources become available. For more detailed information please refer to: https://github.com/ray-project/ray/issues/15801. """ - cluster = ray_start_cluster - cluster.add_node(num_cpus=1) + cluster.add_node(num_cpus=0) ray.init(address=cluster.address) @ray.remote(num_cpus=1) @@ -465,44 +464,34 @@ class A: def ready(self): pass - actor_num = 1000 - pgs = [ray.util.placement_group([{"CPU": 1}]) for _ in range(actor_num)] + # Schedule a large number of placement groups and actors that should be placed in + # those groups. Initially, none are schedulable. + pgs = [ray.util.placement_group([{"CPU": 1}]) for _ in range(1000)] + pg_refs = [pg.ready() for pg in pgs] actors = [ A.options( scheduling_strategy=PlacementGroupSchedulingStrategy(placement_group=pg) ).remote() for pg in pgs ] - refs = [actor.ready.remote() for actor in actors] + actor_refs = [actor.ready.remote() for actor in actors] - expected_created_num = 1 + ready_pgs, _ = ray.wait(pg_refs, timeout=0.1) + assert len(ready_pgs) == 0 + ready_actors, _ = ray.wait(actor_refs, timeout=0.1) + assert len(ready_actors) == 0 - def is_actor_created_number_correct(): - ready, not_ready = ray.wait(refs, num_returns=len(refs), timeout=1) - return len(ready) == expected_created_num - - def is_pg_created_number_correct(): - created_pgs = [ - pg - for _, pg in ray.util.placement_group_table().items() - if pg["state"] == "CREATED" - ] - return len(created_pgs) == expected_created_num + def check_num_refs_ready(refs: List[ObjectRef], expected: int) -> bool: + ready, _ = ray.wait(refs, num_returns=expected, timeout=1) + return len(ready) == expected - wait_for_condition(is_pg_created_number_correct, timeout=3) - wait_for_condition(is_actor_created_number_correct, timeout=30, retry_interval_ms=0) - - # NOTE: we don't need to test all the actors create successfully. - for _ in range(20): - expected_created_num += 1 + # Iteratively add nodes to the cluster so that some of the placement groups (and + # therefore actors) can be scheduled. Verify that the PGs and actors are scheduled + # incrementally as their required resources become available. + for i in range(5): cluster.add_node(num_cpus=1) - - wait_for_condition(is_pg_created_number_correct, timeout=10) - # Make sure the node add event will cause a waiting actor - # to create successfully in time. - wait_for_condition( - is_actor_created_number_correct, timeout=30, retry_interval_ms=0 - ) + wait_for_condition(lambda: check_num_refs_ready(pg_refs, i + 1), timeout=30) + wait_for_condition(lambda: check_num_refs_ready(actor_refs, i + 1), timeout=30) def test_placement_group_gpu_unique_assigned(ray_start_cluster): From 42aaccdeda4b377931c55112dbf2a6964487ae5e Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 7 Jul 2025 14:47:35 -0500 Subject: [PATCH 0065/1566] [core] Deflake `test_reconstruction_suppression` (#54366) This test flakes in CI due to transient `ActorUnavailableError` (expected): https://buildkite.com/ray-project/postmerge/builds/11276#0197d8fa-8bfe-4d64-9422-be76cffedc02/177-1290 Reworked the test to: - improve the name - retry the `ActorUnavailableError` - make the behavior deterministic - reduce the number of excess nodes. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor_advanced.py | 63 +++++++++++++++---------- 1 file changed, 37 insertions(+), 26 deletions(-) diff --git a/python/ray/tests/test_actor_advanced.py b/python/ray/tests/test_actor_advanced.py index 5132c05c70c3..79b4b1c0a541 100644 --- a/python/ray/tests/test_actor_advanced.py +++ b/python/ray/tests/test_actor_advanced.py @@ -192,39 +192,50 @@ def __init__(self): assert ray.get(report_node_id_actor.get.remote()) != actor_node_id -def test_reconstruction_suppression(ray_start_cluster_head): - cluster = ray_start_cluster_head - num_nodes = 5 - worker_nodes = [cluster.add_node() for _ in range(num_nodes)] +def test_actor_restart_multiple_callers(ray_start_cluster): + cluster = ray_start_cluster + _ = cluster.add_node(num_cpus=4) + ray.init(address=cluster.address) - @ray.remote(max_restarts=1) - class Counter: - def __init__(self): - self.x = 0 + _ = cluster.add_node(num_cpus=4) + actor_worker_node = cluster.add_node(num_cpus=0, resources={"actor": 1}) + cluster.wait_for_nodes() - def inc(self): - self.x += 1 - return self.x + @ray.remote( + num_cpus=0, + # Only one of the callers should successfully restart the actor. + max_restarts=1, + # Retry transient ActorUnavailableErrors. + max_task_retries=-1, + # Schedule the actor on actor_worker_node. + resources={"actor": 1}, + ) + class A: + def get_node_id(self) -> str: + return ray.get_runtime_context().get_node_id() + + a = A.remote() @ray.remote - def inc(actor_handle): - return ray.get(actor_handle.inc.remote()) + def call_a() -> str: + return ray.get(a.get_node_id.remote()) - # Make sure all of the actors have started. - actors = [Counter.remote() for _ in range(10)] - ray.get([actor.inc.remote() for actor in actors]) + # Run caller tasks in parallel across the other two nodes. + results = ray.get([call_a.remote() for _ in range(8)]) + assert all(r == actor_worker_node.node_id for r in results), results - # Kill a node. - cluster.remove_node(worker_nodes[0]) + # Kill the node that the actor is running on. + cluster.remove_node(actor_worker_node) - # Submit several tasks per actor. These should be randomly scheduled to the - # nodes, so that multiple nodes will detect and try to reconstruct the - # actor that died, but only one should succeed. - results = [] - for _ in range(10): - results += [inc.remote(actor) for actor in actors] - # Make sure that we can get the results from the restarted actor. - results = ray.get(results) + # Run caller tasks in parallel again. + refs = [call_a.remote() for _ in range(8)] + ready, _ = ray.wait(refs, timeout=0.1) + assert len(ready) == 0 + + # The actor should be restarted once the node becomes available. + new_actor_worker_node = cluster.add_node(num_cpus=0, resources={"actor": 1}) + results = ray.get(refs) + assert all(r == new_actor_worker_node.node_id for r in results), results @pytest.fixture From d0c901c399b72229478691180c5aaee0f000916d Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Mon, 7 Jul 2025 12:55:31 -0700 Subject: [PATCH 0066/1566] [train] Force abort on SIGINT spam and do not abort finished runs (#54188) Before this PR, spamming Ctrl C used to continue blocking until the controller awaited. This was especially slow during worker group initialization. Now, 3 Ctrl C's will force kill the run. Before this PR, there was an edge case in which if you aborted a train run after the controller set the state to finished/error but before it exited, you would override a finished run to aborted. This is rare in practice but it's good to cover all our bases. --------- Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../execution/controller/controller.py | 3 + .../ray/train/v2/api/data_parallel_trainer.py | 29 +++++--- .../v2/tests/test_data_parallel_trainer.py | 71 +++++++++++++++++++ 3 files changed, 94 insertions(+), 9 deletions(-) diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 0c39014090c6..be73417412b6 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -483,6 +483,9 @@ async def run(self): async def abort(self): """Trigger callback abort hooks and terminate the controller process.""" + # Do not abort run if it's already finished. + if self.get_state().is_terminal(): + return # Intentionally abort worker group before setting train run state because # we only reconcile the states of live train runs. if self._worker_group: diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 7facb1ad5808..d5f24e4494d2 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -7,6 +7,7 @@ import ray from ray._private.ray_constants import env_bool from ray._private.usage import usage_lib +from ray.actor import ActorHandle from ray.air._internal.usage import tag_train_v2_trainer from ray.train import ( BackendConfig, @@ -218,21 +219,31 @@ def _initialize_and_run_controller(self, **controller_init_kwargs) -> Result: asyncio.run(controller.run()) return controller.get_result() - def _register_sigint_handler(self, controller: TrainController): + def _register_sigint_handler(self, controller: ActorHandle[TrainController]): """Register SIGINT handler so user Ctrl C gracefully aborts run.""" + sigint_count = 0 def sigint_handler(signum, frame): - try: + logger.info( + "Received SIGINT. Gracefully aborting the training run — this " + "may take a few seconds. To forcefully abort immediately, you " + "can send a different signal, such as SIGKILL." + ) + nonlocal sigint_count + sigint_count += 1 + if sigint_count >= 3: logger.info( - "Received SIGINT. Gracefully aborting the training run — this " - "may take a few seconds. To forcefully abort immediately, you " - "can send a different signal, such as SIGKILL." + "Received SIGINT at least 3 times. " + "Forcefully aborting the training run." ) - ray.get(controller.abort.remote()) - except ray.exceptions.ActorDiedError: - # We catch the error and exit 0 to indicate graceful termination. - # However, for some reason the process still exits with 1. sys.exit(0) + if sigint_count <= 1: + try: + ray.get(controller.abort.remote()) + except ray.exceptions.ActorDiedError: + # We catch the error and exit 0 to indicate graceful termination. + # However, for some reason the process still exits with 1. + sys.exit(0) signal.signal(signal.SIGINT, sigint_handler) diff --git a/python/ray/train/v2/tests/test_data_parallel_trainer.py b/python/ray/train/v2/tests/test_data_parallel_trainer.py index 00f7a95bd2a2..a11a21c7b377 100644 --- a/python/ray/train/v2/tests/test_data_parallel_trainer.py +++ b/python/ray/train/v2/tests/test_data_parallel_trainer.py @@ -1,4 +1,6 @@ +import multiprocessing import os +import signal import tempfile from pathlib import Path @@ -6,6 +8,7 @@ import pytest import ray +from ray.tests.client_test_utils import create_remote_signal_actor from ray.train import BackendConfig, Checkpoint, RunConfig, ScalingConfig, UserCallback from ray.train.backend import Backend from ray.train.constants import RAY_CHDIR_TO_TRIAL_DIR, _get_ray_train_session_dir @@ -210,6 +213,74 @@ def _train_fn(config): trainer.fit() +def run_process_for_sigint_abort(abort_terminates): + # Lives outside test_sigint_abort because cannot pickle nested functions. + + # Needed to reuse current ray cluster. + ray.init(address="auto") + + if not abort_terminates: + + async def fake_abort(): + while True: + pass + + from ray.train.v2._internal.execution.controller import TrainController + + TrainController.abort = fake_abort + + def train_fn(): + signal_actor = ray.get_actor("signal_actor", namespace="test_sigint_abort") + ray.get(signal_actor.send.remote()) + while True: + pass + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + ) + trainer.fit() + + +@pytest.mark.parametrize( + "spam_sigint", + [ + False, + # Disabling this test because it's flaky. + # True, + ], +) +def test_sigint_abort(ray_start_4_cpus, spam_sigint): + # Use SignalActor to wait for training to start before sending SIGINT. + SignalActor = create_remote_signal_actor(ray) + signal_actor = SignalActor.options( + name="signal_actor", namespace="test_sigint_abort" + ).remote() + + # Use spawn because of + # https://docs.ray.io/en/latest/ray-core/patterns/fork-new-processes.html + multiprocessing.set_start_method("spawn", force=True) + process = multiprocessing.Process( + target=run_process_for_sigint_abort, args=(not spam_sigint,) + ) + process.start() + + # Wait for training to start. + ray.get(signal_actor.wait.remote()) + + # Verify that process exits after sufficient number of SIGINTS. + os.kill(process.pid, signal.SIGINT) + if spam_sigint: + import time + + assert process.exitcode is None + # This is flaky. Sometimes SIGINTs are ignored and you need to wait. + while process.exitcode is None: + time.sleep(1) + os.kill(process.pid, signal.SIGINT) + process.join() + + if __name__ == "__main__": import sys From 078757260b0645a39c2383737f3d3df18cb4f48a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 7 Jul 2025 13:18:11 -0700 Subject: [PATCH 0067/1566] [data] dask: mark all dask-on-ray tests as manual (#54371) have to run on python 3.12, and not sure what changes are required to make them passing Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index e775a60c729d..47c860672be9 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2954,7 +2954,7 @@ group: core-daily-test working_dir: nightly_tests - frequency: nightly + frequency: manual # was nightly team: core # https://github.com/ray-project/ray/issues/39165 stable: false @@ -2983,7 +2983,7 @@ group: core-daily-test working_dir: nightly_tests - frequency: nightly + frequency: manual # was nightly team: data cluster: @@ -3310,7 +3310,7 @@ group: core-daily-test working_dir: nightly_tests - frequency: nightly-3x + frequency: manual # was nightly-3x team: core cluster: @@ -3844,7 +3844,7 @@ group: data-tests working_dir: nightly_tests - frequency: nightly + frequency: manual # was nightly team: data cluster: @@ -3873,7 +3873,7 @@ group: data-tests working_dir: nightly_tests - frequency: nightly + frequency: manual # was nightly team: data cluster: From 04197ca7270b60c99cdebc83eefe1de6f74afa61 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 7 Jul 2025 16:05:28 -0500 Subject: [PATCH 0068/1566] [core] Remove `test_get_locations_timeout` (#54367) This test sometimes fails because the location info _is_ available: https://buildkite.com/ray-project/postmerge/builds/11255#0197d1e5-5ee0-4b16-b852-4ee17b39cc10 The entire implementation is problematic, and after data [migrates](https://github.com/ray-project/ray/pull/53942) to `get_local_object_locations`, `get_object_locations` will be deleted. So for now deleting the flaky test. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_get_locations.py | 9 --------- 1 file changed, 9 deletions(-) diff --git a/python/ray/tests/test_get_locations.py b/python/ray/tests/test_get_locations.py index c40cea753b24..17bfc25905f2 100644 --- a/python/ray/tests/test_get_locations.py +++ b/python/ray/tests/test_get_locations.py @@ -19,15 +19,6 @@ def test_get_locations_empty_list(ray_start_regular): assert len(locations) == 0 -def test_get_locations_timeout(ray_start_regular): - sizes = [100, 1000] - obj_refs = [ray.put(np.zeros(s, dtype=np.uint8)) for s in sizes] - ray.wait(obj_refs) - timeout_ms = 0 - with pytest.raises(ray.exceptions.GetTimeoutError): - ray.experimental.get_object_locations(obj_refs, timeout_ms) - - def test_get_locations(ray_start_regular): node_id = ray.get_runtime_context().get_node_id() sizes = [100, 1000] From c381d5d7e9bc458b08a5daf9218678665bcfd9b0 Mon Sep 17 00:00:00 2001 From: Rueian Date: Mon, 7 Jul 2025 14:17:44 -0700 Subject: [PATCH 0069/1566] [core][autoscaler] make the autoscaler v2 work with the cluster launcher (#54230) ## Why are these changes needed? This PR wires up the `NodeProviderAdapter` and `ThreadedRayInstaller` to make autoscaler v2 work with the cluster launcher. An autoscaler v2 enabled cluster can be launched by the following command: ```sh RAY_enable_autoscaler_v2=1 ray up aws.yaml -y ``` and this `aws.yaml`: ```yaml cluster_name: default max_workers: 2 upscaling_speed: 1.0 docker: image: "rayproject/ray:nightly-py312" container_name: "ray_container" pull_before_run: True run_options: - --ulimit nofile=65536:65536 idle_timeout_minutes: 5 provider: type: aws region: us-west-2 availability_zone: us-west-2a,us-west-2b cache_stopped_nodes: True auth: ssh_user: ubuntu available_node_types: ray.head.default: resources: {} node_config: InstanceType: m5.large ImageId: ami-0387d929287ab193e BlockDeviceMappings: - DeviceName: /dev/sda1 Ebs: VolumeSize: 140 VolumeType: gp3 ray.worker.default: min_workers: 1 max_workers: 2 resources: {} node_config: InstanceType: m5.large ImageId: ami-0387d929287ab193e InstanceMarketOptions: MarketType: spot head_node_type: ray.head.default file_mounts: { "/home/ray/anaconda3/lib/python3.12/site-packages/ray/autoscaler/v2": "python/ray/autoscaler/v2", } cluster_synced_files: [] file_mounts_sync_continuously: False rsync_exclude: - "**/.git" - "**/.git/**" rsync_filter: - ".gitignore" initialization_commands: [] setup_commands: [] head_setup_commands: [] worker_setup_commands: [] head_start_ray_commands: - ray stop - ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml --dashboard-host=0.0.0.0 worker_start_ray_commands: - ray stop - ray start --address=$RAY_HEAD_IP:6379 --object-manager-port=8076 ``` The equivalent setup for gcp is also tested. Note that the `image: "rayproject/ray:nightly-py312"` and `file_mounts` are **required**, and the `python/ray/autoscaler/v2` local path should point to this PR since we need to patch the autoscaler in the docker image. ## Summary of Changes * Make `ray up` accept the `RAY_enable_autoscaler_v2` env. * Enable the `ThreadedRayInstaller` in the autoscaler v2 if the node provider is a `NodeProviderAdapter`. * Fix the `ThreadedRayInstaller` for not conflict with the autoscaler v2. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/commands.py | 11 +++ python/ray/autoscaler/v2/autoscaler.py | 36 +++++++--- .../autoscaler/v2/instance_manager/config.py | 6 +- .../v2/instance_manager/node_provider.py | 4 ++ .../v2/instance_manager/ray_installer.py | 35 +++++---- .../v2/instance_manager/reconciler.py | 4 +- .../subscribers/threaded_ray_installer.py | 72 +++++++++---------- .../autoscaler/v2/tests/test_ray_installer.py | 36 ++++++---- .../autoscaler/v2/tests/test_reconciler.py | 4 +- .../v2/tests/test_threaded_ray_installer.py | 30 +++++--- 10 files changed, 148 insertions(+), 90 deletions(-) diff --git a/python/ray/autoscaler/_private/commands.py b/python/ray/autoscaler/_private/commands.py index 9a9b9d91cc2f..2659c2233669 100644 --- a/python/ray/autoscaler/_private/commands.py +++ b/python/ray/autoscaler/_private/commands.py @@ -57,6 +57,7 @@ hash_runtime_conf, prepare_config, validate_config, + with_envs, ) from ray.autoscaler.node_provider import NodeProvider from ray.autoscaler.tags import ( @@ -821,6 +822,16 @@ def get_or_create_head_node( if not no_restart: warn_about_bad_start_command(ray_start_commands, no_monitor_on_head) + if os.getenv("RAY_enable_autoscaler_v2", "0") == "1": + ray_start_commands = with_envs( + ray_start_commands, + { + "RAY_enable_autoscaler_v2": "1", + "RAY_CLOUD_INSTANCE_ID": head_node, + "RAY_NODE_TYPE_NAME": head_node_type, + }, + ) + updater = NodeUpdaterThread( node_id=head_node, provider_config=config["provider"], diff --git a/python/ray/autoscaler/v2/autoscaler.py b/python/ray/autoscaler/v2/autoscaler.py index 3ca438c3c1ba..c55646a46d8e 100644 --- a/python/ray/autoscaler/v2/autoscaler.py +++ b/python/ray/autoscaler/v2/autoscaler.py @@ -25,16 +25,21 @@ ICloudInstanceProvider, NodeProviderAdapter, ) +from ray.autoscaler.v2.instance_manager.ray_installer import RayInstaller from ray.autoscaler.v2.instance_manager.reconciler import Reconciler from ray.autoscaler.v2.instance_manager.storage import InMemoryStorage from ray.autoscaler.v2.instance_manager.subscribers.cloud_instance_updater import ( CloudInstanceUpdater, ) from ray.autoscaler.v2.instance_manager.subscribers.ray_stopper import RayStopper +from ray.autoscaler.v2.instance_manager.subscribers.threaded_ray_installer import ( + ThreadedRayInstaller, +) from ray.autoscaler.v2.metrics_reporter import AutoscalerMetricsReporter from ray.autoscaler.v2.scheduler import ResourceDemandScheduler from ray.autoscaler.v2.sdk import get_cluster_resource_state from ray.core.generated.autoscaler_pb2 import AutoscalingState +from urllib.parse import urlsplit logger = logging.getLogger(__name__) @@ -133,16 +138,27 @@ def _init_instance_manager( subscribers.append( RayStopper(gcs_client=gcs_client, error_queue=self._ray_stop_errors_queue) ) - if not config.disable_node_updaters(): - # Supporting ray installer is only needed for providers that doesn't - # install or manage ray (e.g. AWS, GCP). These providers will be - # supported in the future. - raise NotImplementedError( - "RayInstaller is not supported yet in current " - "release of the Autoscaler V2. Therefore, providers " - "that update nodes (with `disable_node_updaters` set to True) " - "are not supported yet. Only KubeRay is supported for now which sets " - "disable_node_updaters to True in provider's config." + if not config.disable_node_updaters() and isinstance( + cloud_provider, NodeProviderAdapter + ): + head_node_ip = urlsplit("//" + self._gcs_client.address).hostname + assert head_node_ip is not None, "Invalid GCS address format" + subscribers.append( + ThreadedRayInstaller( + head_node_ip=head_node_ip, + instance_storage=instance_storage, + ray_installer=RayInstaller( + provider=cloud_provider.v1_provider, + config=config, + ), + error_queue=self._ray_install_errors_queue, + # TODO(rueian): Rewrite the ThreadedRayInstaller and its underlying + # NodeUpdater and CommandRunner to use the asyncio, so that we don't + # need to use so many threads. We use so many threads now because + # they are blocking and letting the new cloud machines to wait for + # previous machines to finish installing Ray is quite inefficient. + max_concurrent_installs=config.get_max_num_worker_nodes() or 50, + ) ) self._instance_manager = InstanceManager( diff --git a/python/ray/autoscaler/v2/instance_manager/config.py b/python/ray/autoscaler/v2/instance_manager/config.py index 69ee22ce35d0..ef329f804e71 100644 --- a/python/ray/autoscaler/v2/instance_manager/config.py +++ b/python/ray/autoscaler/v2/instance_manager/config.py @@ -388,7 +388,7 @@ def get_max_concurrent_launches(self) -> int: def disable_node_updaters(self) -> bool: provider_config = self._configs.get("provider", {}) - return provider_config.get(DISABLE_NODE_UPDATERS_KEY, True) + return provider_config.get(DISABLE_NODE_UPDATERS_KEY, False) def get_idle_timeout_s(self) -> Optional[float]: """ @@ -435,10 +435,14 @@ def provider(self) -> Provider: @property def runtime_hash(self) -> str: + if not hasattr(self, "_runtime_hash"): + self._calculate_hashes() return self._runtime_hash @property def file_mounts_contents_hash(self) -> str: + if not hasattr(self, "_file_mounts_contents_hash"): + self._calculate_hashes() return self._file_mounts_contents_hash diff --git a/python/ray/autoscaler/v2/instance_manager/node_provider.py b/python/ray/autoscaler/v2/instance_manager/node_provider.py index 1358fcda5a6c..94d11db1250b 100644 --- a/python/ray/autoscaler/v2/instance_manager/node_provider.py +++ b/python/ray/autoscaler/v2/instance_manager/node_provider.py @@ -341,6 +341,10 @@ def __init__( # temporarily. self._errors_queue = Queue() + @property + def v1_provider(self) -> NodeProviderV1: + return self._v1_provider + def get_non_terminated(self) -> Dict[CloudInstanceId, CloudInstance]: nodes = {} diff --git a/python/ray/autoscaler/v2/instance_manager/ray_installer.py b/python/ray/autoscaler/v2/instance_manager/ray_installer.py index 0356b252eadd..3daf5d3e0b71 100644 --- a/python/ray/autoscaler/v2/instance_manager/ray_installer.py +++ b/python/ray/autoscaler/v2/instance_manager/ray_installer.py @@ -1,8 +1,11 @@ -import dataclasses import logging import subprocess -from ray.autoscaler._private.updater import NodeUpdater +from ray.autoscaler._private.updater import ( + NodeUpdater, + TAG_RAY_NODE_STATUS, + STATUS_UP_TO_DATE, +) from ray.autoscaler._private.util import with_envs, with_head_node_ip from ray.autoscaler.node_provider import NodeProvider as NodeProviderV1 from ray.autoscaler.v2.instance_manager.config import AutoscalingConfig @@ -11,14 +14,6 @@ logger = logging.getLogger(__name__) -@dataclasses.dataclass(frozen=True) -class RayInstallError: - # Instance manager's instance id. - im_instance_id: str - # Error details. - details: str - - class RayInstaller(object): """ RayInstaller is responsible for installing ray on the target instance. @@ -34,7 +29,7 @@ def __init__( self._config = config self._process_runner = process_runner - def install_ray(self, instance: Instance, head_node_ip: str) -> bool: + def install_ray(self, instance: Instance, head_node_ip: str) -> None: """ Install ray on the target instance synchronously. TODO:(rickyx): This runs in another thread, and errors are silently @@ -52,7 +47,7 @@ def install_ray(self, instance: Instance, head_node_ip: str) -> bool: instance.instance_type ) updater = NodeUpdater( - node_id=instance.instance_id, + node_id=instance.cloud_instance_id, provider_config=self._config.get_config("provider"), provider=self._provider, auth_config=self._config.get_config("auth"), @@ -72,7 +67,7 @@ def install_ray(self, instance: Instance, head_node_ip: str) -> bool: ray_start_commands, { "RAY_HEAD_IP": head_node_ip, - "RAY_CLOUD_INSTANCE_ID": instance.instance_id, + "RAY_CLOUD_INSTANCE_ID": instance.cloud_instance_id, "RAY_NODE_TYPE_NAME": instance.instance_type, "RAY_CLOUD_INSTANCE_TYPE_NAME": provider_instance_type_name, }, @@ -91,9 +86,11 @@ def install_ray(self, instance: Instance, head_node_ip: str) -> bool: node_labels=self._config.get_node_labels(instance.instance_type), process_runner=self._process_runner, ) - try: - updater.run() - except Exception: - # Errors has already been handled. - return False - return True + updater.run() + # check if the updater was successful by checking the node tags + # since the updater could hide exceptions and just set the status tag + tags = self._provider.node_tags(instance.cloud_instance_id) + if tags.get(TAG_RAY_NODE_STATUS) != STATUS_UP_TO_DATE: + raise Exception( + f"Ray installation failed with unexpected status: {tags.get(TAG_RAY_NODE_STATUS)}" + ) diff --git a/python/ray/autoscaler/v2/instance_manager/reconciler.py b/python/ray/autoscaler/v2/instance_manager/reconciler.py index 4e1f2788259f..539b8a6a98b4 100644 --- a/python/ray/autoscaler/v2/instance_manager/reconciler.py +++ b/python/ray/autoscaler/v2/instance_manager/reconciler.py @@ -21,7 +21,9 @@ LaunchNodeError, TerminateNodeError, ) -from ray.autoscaler.v2.instance_manager.ray_installer import RayInstallError +from ray.autoscaler.v2.instance_manager.subscribers.threaded_ray_installer import ( + RayInstallError, +) from ray.autoscaler.v2.instance_manager.subscribers.ray_stopper import RayStopError from ray.autoscaler.v2.metrics_reporter import AutoscalerMetricsReporter from ray.autoscaler.v2.scheduler import IResourceScheduler, SchedulingRequest diff --git a/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py b/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py index 1aaf32f816a1..d364ccea07e0 100644 --- a/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py +++ b/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py @@ -1,18 +1,32 @@ +import dataclasses import logging import time from concurrent.futures import ThreadPoolExecutor from typing import List +from queue import Queue from ray.autoscaler.v2.instance_manager.instance_manager import ( InstanceUpdatedSubscriber, ) from ray.autoscaler.v2.instance_manager.instance_storage import InstanceStorage from ray.autoscaler.v2.instance_manager.ray_installer import RayInstaller -from ray.core.generated.instance_manager_pb2 import Instance, InstanceUpdateEvent +from ray.core.generated.instance_manager_pb2 import ( + NodeKind, + Instance, + InstanceUpdateEvent, +) logger = logging.getLogger(__name__) +@dataclasses.dataclass(frozen=True) +class RayInstallError: + # Instance manager's instance id. + im_instance_id: str + # Error details. + details: str + + class ThreadedRayInstaller(InstanceUpdatedSubscriber): """ThreadedRayInstaller is responsible for install ray on new nodes.""" @@ -21,6 +35,7 @@ def __init__( head_node_ip: str, instance_storage: InstanceStorage, ray_installer: RayInstaller, + error_queue: Queue, max_install_attempts: int = 3, install_retry_interval: int = 10, max_concurrent_installs: int = 50, @@ -31,65 +46,50 @@ def __init__( self._max_concurrent_installs = max_concurrent_installs self._max_install_attempts = max_install_attempts self._install_retry_interval = install_retry_interval + self._error_queue = error_queue self._ray_installation_executor = ThreadPoolExecutor( max_workers=self._max_concurrent_installs ) def notify(self, events: List[InstanceUpdateEvent]) -> None: for event in events: - if event.new_instance_status == Instance.ALLOCATED: + if event.new_instance_status == Instance.RAY_INSTALLING: self._install_ray_on_new_nodes(event.instance_id) def _install_ray_on_new_nodes(self, instance_id: str) -> None: allocated_instance, _ = self._instance_storage.get_instances( instance_ids={instance_id}, - status_filter={Instance.ALLOCATED}, + status_filter={Instance.RAY_INSTALLING}, ) for instance in allocated_instance.values(): + assert instance.node_kind == NodeKind.WORKER self._ray_installation_executor.submit( self._install_ray_on_single_node, instance ) def _install_ray_on_single_node(self, instance: Instance) -> None: - assert instance.status == Instance.ALLOCATED - success, version = self._instance_storage.upsert_instance( - instance, expected_instance_version=instance.version - ) - if not success: - logger.warning( - f"Failed to update instance {instance.instance_id} to RAY_INSTALLING" - ) - # Do not need to handle failures, it will be covered by - # garbage collection. - return + assert instance.status == Instance.RAY_INSTALLING # install with exponential backoff - installed = False backoff_factor = 1 + last_exception = None for _ in range(self._max_install_attempts): - installed = self._ray_installer.install_ray(instance, self._head_node_ip) - if installed: - break + try: + self._ray_installer.install_ray(instance, self._head_node_ip) + return + except Exception as e: + logger.info( + f"Ray installation failed on instance {instance.cloud_instance_id}: {e}" + ) + last_exception = e + logger.warning("Failed to install ray, retrying...") time.sleep(self._install_retry_interval * backoff_factor) backoff_factor *= 2 - if not installed: - instance.status = Instance.RAY_INSTALL_FAILED - success, version = self._instance_storage.upsert_instance( - instance, - expected_instance_version=version, - ) - else: - instance.status = Instance.RAY_RUNNING - success, version = self._instance_storage.upsert_instance( - instance, - expected_instance_version=version, + self._error_queue.put_nowait( + RayInstallError( + im_instance_id=instance.instance_id, + details=str(last_exception), ) - if not success: - logger.warning( - f"Failed to update instance {instance.instance_id} to {instance.status}" - ) - # Do not need to handle failures, it will be covered by - # garbage collection. - return + ) diff --git a/python/ray/autoscaler/v2/tests/test_ray_installer.py b/python/ray/autoscaler/v2/tests/test_ray_installer.py index 560ead544c0a..17f0d4308b0f 100644 --- a/python/ray/autoscaler/v2/tests/test_ray_installer.py +++ b/python/ray/autoscaler/v2/tests/test_ray_installer.py @@ -24,7 +24,7 @@ def test_install_succeeded(self): self.base_provider.create_node({}, {TAG_RAY_NODE_KIND: "worker_nodes1"}, 1) self.runner.respond_to_call("json .Config.Env", ["[]" for i in range(1)]) - assert self.ray_installer.install_ray( + self.ray_installer.install_ray( Instance( instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0" ), @@ -33,24 +33,32 @@ def test_install_succeeded(self): def test_install_failed(self): # creation failed because no such node. - assert not self.ray_installer.install_ray( - Instance( - instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0" - ), - head_node_ip="1.2.3.4", - ) + with self.assertRaisesRegex(KeyError, "0"): + assert not self.ray_installer.install_ray( + Instance( + instance_id="0", + instance_type="worker_nodes1", + cloud_instance_id="0", + ), + head_node_ip="1.2.3.4", + ) self.base_provider.create_node({}, {TAG_RAY_NODE_KIND: "worker_nodes1"}, 1) - self.runner.fail_cmds = ["setup_cmd"] + self.runner.fail_cmds = [ + "echo" # this is the command used in the test_ray_complex.yaml + ] self.runner.respond_to_call("json .Config.Env", ["[]" for i in range(1)]) # creation failed because setup command failed. - assert self.ray_installer.install_ray( - Instance( - instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0" - ), - head_node_ip="1.2.3.4", - ) + with self.assertRaisesRegex(Exception, "unexpected status"): + self.ray_installer.install_ray( + Instance( + instance_id="0", + instance_type="worker_nodes1", + cloud_instance_id="0", + ), + head_node_ip="1.2.3.4", + ) if __name__ == "__main__": diff --git a/python/ray/autoscaler/v2/tests/test_reconciler.py b/python/ray/autoscaler/v2/tests/test_reconciler.py index 38719ae12175..c0622950d0db 100644 --- a/python/ray/autoscaler/v2/tests/test_reconciler.py +++ b/python/ray/autoscaler/v2/tests/test_reconciler.py @@ -18,10 +18,12 @@ LaunchNodeError, TerminateNodeError, ) -from ray.autoscaler.v2.instance_manager.ray_installer import RayInstallError from ray.autoscaler.v2.instance_manager.reconciler import Reconciler, logger from ray.autoscaler.v2.instance_manager.storage import InMemoryStorage from ray.autoscaler.v2.instance_manager.subscribers.ray_stopper import RayStopError +from ray.autoscaler.v2.instance_manager.subscribers.threaded_ray_installer import ( + RayInstallError, +) from ray.autoscaler.v2.scheduler import IResourceScheduler, SchedulingReply from ray.autoscaler.v2.tests.util import MockSubscriber, create_instance from ray.core.generated.autoscaler_pb2 import ( diff --git a/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py b/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py index d49b025c70a7..79cd43092d36 100644 --- a/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py +++ b/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py @@ -3,6 +3,7 @@ import sys import unittest from unittest.mock import patch +from queue import Queue import pytest # noqa @@ -15,7 +16,7 @@ from ray.autoscaler.v2.instance_manager.subscribers.threaded_ray_installer import ( ThreadedRayInstaller, ) -from ray.core.generated.instance_manager_pb2 import Instance +from ray.core.generated.instance_manager_pb2 import Instance, NodeKind from ray.tests.autoscaler_test_utils import MockProcessRunner, MockProvider @@ -29,10 +30,12 @@ def setUp(self): cluster_id="test_cluster_id", storage=InMemoryStorage(), ) + self.error_queue = Queue() self.threaded_ray_installer = ThreadedRayInstaller( head_node_ip="127.0.0.1", instance_storage=self.instance_storage, ray_installer=self.ray_installer, + error_queue=self.error_queue, ) def test_install_ray_on_new_node_version_mismatch(self): @@ -41,7 +44,8 @@ def test_install_ray_on_new_node_version_mismatch(self): instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0", - status=Instance.ALLOCATED, + status=Instance.RAY_INSTALLING, + node_kind=NodeKind.WORKER, ) success, verison = self.instance_storage.upsert_instance(instance) assert success @@ -51,7 +55,7 @@ def test_install_ray_on_new_node_version_mismatch(self): instances, _ = self.instance_storage.get_instances( instance_ids={instance.instance_id} ) - assert instances[instance.instance_id].status == Instance.ALLOCATED + assert instances[instance.instance_id].status == Instance.RAY_INSTALLING assert instances[instance.instance_id].version == verison @patch.object(RayInstaller, "install_ray") @@ -61,13 +65,14 @@ def test_install_ray_on_new_node_install_failed(self, mock_method): instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0", - status=Instance.ALLOCATED, + status=Instance.RAY_INSTALLING, + node_kind=NodeKind.WORKER, ) success, verison = self.instance_storage.upsert_instance(instance) assert success instance.version = verison - mock_method.return_value = False + mock_method.side_effect = RuntimeError("Installation failed") self.threaded_ray_installer._install_retry_interval = 0 self.threaded_ray_installer._max_install_attempts = 1 self.threaded_ray_installer._install_ray_on_single_node(instance) @@ -75,7 +80,13 @@ def test_install_ray_on_new_node_install_failed(self, mock_method): instances, _ = self.instance_storage.get_instances( instance_ids={instance.instance_id} ) - assert instances[instance.instance_id].status == Instance.RAY_INSTALL_FAILED + # Make sure the instance status is not updated by the ThreadedRayInstaller + # since it should be updated by the Reconciler. + assert instances[instance.instance_id].status == Instance.RAY_INSTALLING + # Make sure the error is added to the error queue. + error = self.error_queue.get() + assert error.im_instance_id == instance.instance_id + assert "Installation failed" in error.details def test_install_ray_on_new_nodes(self): self.base_provider.create_node({}, {TAG_RAY_NODE_KIND: "worker_nodes1"}, 1) @@ -83,7 +94,8 @@ def test_install_ray_on_new_nodes(self): instance_id="0", instance_type="worker_nodes1", cloud_instance_id="0", - status=Instance.ALLOCATED, + status=Instance.RAY_INSTALLING, + node_kind=NodeKind.WORKER, ) success, verison = self.instance_storage.upsert_instance(instance) assert success @@ -95,7 +107,9 @@ def test_install_ray_on_new_nodes(self): instances, _ = self.instance_storage.get_instances( instance_ids={instance.instance_id} ) - assert instances[instance.instance_id].status == Instance.RAY_RUNNING + # Make sure the instance status is not updated by the ThreadedRayInstaller + # since it should be updated by the Reconciler. + assert instances[instance.instance_id].status == Instance.RAY_INSTALLING if __name__ == "__main__": From a5900340f09ae1ab5f13f470fd8fd90d346f8c56 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 7 Jul 2025 17:37:04 -0400 Subject: [PATCH 0070/1566] [core] Delete event_label (#54378) event_label is just macros mapping to strings that are only used in one spot. There really isn't a need for this, string literals are compile time constants anyways. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- cpp/src/ray/runtime/task/task_executor.cc | 3 +- src/ray/common/file_system_monitor.h | 1 - .../core_worker/transport/task_receiver.cc | 1 - src/ray/gcs/gcs_server/gcs_node_manager.cc | 3 +- src/ray/raylet/node_manager.cc | 5 ++- src/ray/util/BUILD | 6 ---- src/ray/util/event_label.h | 33 ------------------- src/ray/util/logging.cc | 3 +- src/ray/util/tests/event_test.cc | 3 +- 9 files changed, 6 insertions(+), 52 deletions(-) delete mode 100644 src/ray/util/event_label.h diff --git a/cpp/src/ray/runtime/task/task_executor.cc b/cpp/src/ray/runtime/task/task_executor.cc index e00d86ea1ae9..8830a74168b4 100644 --- a/cpp/src/ray/runtime/task/task_executor.cc +++ b/cpp/src/ray/runtime/task/task_executor.cc @@ -21,7 +21,6 @@ #include "../../util/function_helper.h" #include "../abstract_ray_runtime.h" #include "ray/util/event.h" -#include "ray/util/event_label.h" namespace ray { @@ -211,7 +210,7 @@ Status TaskExecutor::ExecuteTask( if (status.IsIntentionalSystemExit()) { return status; } else { - RAY_EVENT(ERROR, EL_RAY_CPP_TASK_FAILED) + RAY_EVENT(ERROR, "RAY_CPP_TASK_FAILED") .WithField("task_type", TaskType_Name(task_type)) .WithField("function_name", func_name) << "C++ task failed: " << status.ToString(); diff --git a/src/ray/common/file_system_monitor.h b/src/ray/common/file_system_monitor.h index cb7e6cd8eb01..ccba1d5e8696 100644 --- a/src/ray/common/file_system_monitor.h +++ b/src/ray/common/file_system_monitor.h @@ -25,7 +25,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" #include "ray/util/event.h" -#include "ray/util/event_label.h" namespace ray { /// Monitor the filesystem capacity ray is using. diff --git a/src/ray/core_worker/transport/task_receiver.cc b/src/ray/core_worker/transport/task_receiver.cc index 6da1eb2ff7ed..798b64d3e82a 100644 --- a/src/ray/core_worker/transport/task_receiver.cc +++ b/src/ray/core_worker/transport/task_receiver.cc @@ -269,7 +269,6 @@ bool TaskReceiver::CancelQueuedNormalTask(TaskID task_id) { return normal_scheduling_queue_->CancelTaskIfFound(task_id); } -/// Note that this method is only used for asyncio actor. void TaskReceiver::SetupActor(bool is_asyncio, int fiber_max_concurrency, bool execute_out_of_order) { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 080b781edcc0..61cd1b5e71a7 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -25,7 +25,6 @@ #include "ray/gcs/pb_util.h" #include "ray/stats/stats.h" #include "ray/util/event.h" -#include "ray/util/event_label.h" #include "ray/util/logging.h" #include "src/ray/protobuf/gcs.pb.h" @@ -408,7 +407,7 @@ std::shared_ptr GcsNodeManager::RemoveNode( << " has missed too many heartbeats from it. This can happen when a " "\t(1) raylet crashes unexpectedly (OOM, etc.) \n" << "\t(2) raylet has lagging heartbeats due to slow network or busy workload."; - RAY_EVENT(ERROR, EL_RAY_NODE_REMOVED) + RAY_EVENT(ERROR, "RAY_NODE_REMOVED") .WithField("node_id", node_id.Hex()) .WithField("ip", removed_node->node_manager_address()) << error_message.str(); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 335afc13c51c..bd195a95732a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -50,7 +50,6 @@ #include "ray/stats/metric_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" -#include "ray/util/event_label.h" #include "ray/util/util.h" namespace { @@ -1455,7 +1454,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie << rpc::WorkerExitType_Name(disconnect_type) << " Worker exit detail: " << disconnect_detail; std::string error_message_str = error_message.str(); - RAY_EVENT(ERROR, EL_RAY_WORKER_FAILURE) + RAY_EVENT(ERROR, "RAY_WORKER_FAILURE") .WithField("worker_id", worker->WorkerId().Hex()) .WithField("node_id", self_node_id_.Hex()) .WithField("job_id", worker->GetAssignedJobId().Hex()) @@ -1484,7 +1483,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie RAY_LOG(INFO).WithField(worker->WorkerId()).WithField(worker->GetAssignedJobId()) << "Driver (pid=" << worker->GetProcess().GetId() << ") is disconnected."; if (disconnect_type == rpc::WorkerExitType::SYSTEM_ERROR) { - RAY_EVENT(ERROR, EL_RAY_DRIVER_FAILURE) + RAY_EVENT(ERROR, "RAY_DRIVER_FAILURE") .WithField("node_id", self_node_id_.Hex()) .WithField("job_id", worker->GetAssignedJobId().Hex()) << "Driver " << worker->WorkerId() << " died. Address: " << worker->IpAddress() diff --git a/src/ray/util/BUILD b/src/ray/util/BUILD index bb769c25164a..ece190cdaff6 100644 --- a/src/ray/util/BUILD +++ b/src/ray/util/BUILD @@ -10,11 +10,6 @@ ray_cc_library( hdrs = ["macros.h"], ) -ray_cc_library( - name = "event_label", - hdrs = ["event_label.h"], -) - ray_cc_library( name = "array", hdrs = ["array.h"], @@ -52,7 +47,6 @@ ray_cc_library( srcs = ["logging.cc"], hdrs = ["logging.h"], deps = [ - ":event_label", ":macros", ":string_utils", ":thread_utils", diff --git a/src/ray/util/event_label.h b/src/ray/util/event_label.h deleted file mode 100644 index 221027ec390a..000000000000 --- a/src/ray/util/event_label.h +++ /dev/null @@ -1,33 +0,0 @@ -// Copyright 2021 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -namespace ray { - -#define EL_RAY_FATAL_CHECK_FAILED "RAY_FATAL_CHECK_FAILED" - -#define EL_RAY_WORKER_FAILURE "RAY_WORKER_FAILURE" - -#define EL_RAY_DRIVER_FAILURE "RAY_DRIVER_FAILURE" - -#define EL_RAY_AGENT_EXIT "RAY_AGENT_EXIT" - -#define EL_RAY_AGENT_NOT_REGISTERED "RAY_AGENT_NOT_REGISTERED" - -#define EL_RAY_NODE_REMOVED "RAY_NODE_REMOVED" - -#define EL_RAY_CPP_TASK_FAILED "RAY_CPP_TASK_FAILED" - -} // namespace ray diff --git a/src/ray/util/logging.cc b/src/ray/util/logging.cc index f196f4559992..7578a8c7052d 100644 --- a/src/ray/util/logging.cc +++ b/src/ray/util/logging.cc @@ -44,7 +44,6 @@ #include "absl/debugging/symbolize.h" #include "absl/strings/numbers.h" #include "absl/strings/str_format.h" -#include "ray/util/event_label.h" #include "ray/util/string_utils.h" #include "ray/util/thread_utils.h" #include "spdlog/sinks/basic_file_sink.h" @@ -592,7 +591,7 @@ RayLog::~RayLog() { msg_osstream_ << "\n*** StackTrace Information ***\n" << ray::StackTrace(); expose_fatal_osstream_ << "\n*** StackTrace Information ***\n" << ray::StackTrace(); for (const auto &callback : fatal_log_callbacks_) { - callback(EL_RAY_FATAL_CHECK_FAILED, expose_fatal_osstream_.str()); + callback("RAY_FATAL_CHECK_FAILED", expose_fatal_osstream_.str()); } } diff --git a/src/ray/util/tests/event_test.cc b/src/ray/util/tests/event_test.cc index 1d934a8b6ede..674001be44c7 100644 --- a/src/ray/util/tests/event_test.cc +++ b/src/ray/util/tests/event_test.cc @@ -29,7 +29,6 @@ #include #include "ray/common/ray_config.h" -#include "ray/util/event_label.h" #include "ray/util/random.h" #include "ray/util/string_utils.h" #include "src/ray/protobuf/gcs.pb.h" @@ -592,7 +591,7 @@ TEST_F(EventTest, TestRayCheckAbort) { "task 1", "RAYLET", "FATAL", - EL_RAY_FATAL_CHECK_FAILED, + "RAY_FATAL_CHECK_FAILED", "NULL"); EXPECT_THAT(ele_1.message(), testing::HasSubstr("Check failed: 1 < 0 incorrect test case")); From 1e2a8a5112fb25ddf9df5621948229f55efaa2bc Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 7 Jul 2025 16:38:36 -0500 Subject: [PATCH 0071/1566] [core] Add deprecation warning and remove tests for `_max_cpu_fraction_per_node` (#54380) Per discussion in: https://github.com/ray-project/ray/pull/53610, this argument was introduced for Ray AIR but is no longer used by any libraries. Out of an abundance of caution, adding a warning for a release before removing it. Deleting the integration tests eagerly since they burn CPU time in CI. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_placement_group_5.py | 149 --------------------- python/ray/util/placement_group.py | 7 +- 2 files changed, 6 insertions(+), 150 deletions(-) diff --git a/python/ray/tests/test_placement_group_5.py b/python/ray/tests/test_placement_group_5.py index 6649266fd995..a4e44b743e50 100644 --- a/python/ray/tests/test_placement_group_5.py +++ b/python/ray/tests/test_placement_group_5.py @@ -261,155 +261,6 @@ def add_nodes_to_cluster(cluster): ) -@pytest.mark.parametrize("multi_bundle", [True, False]) -@pytest.mark.parametrize("even_pack", [True, False]) -@pytest.mark.parametrize("scheduling_strategy", ["SPREAD", "STRICT_PACK", "PACK"]) -def test_placement_group_max_cpu_frac( - ray_start_cluster, multi_bundle, even_pack, scheduling_strategy -): - cluster = ray_start_cluster - cluster.add_node(num_cpus=4) - cluster.wait_for_nodes() - ray.init(address=cluster.address) - - if multi_bundle: - bundles = [{"CPU": 1}] * 3 - else: - bundles = [{"CPU": 3}] - - # Input validation - max_cpu_fraction_per_node must be between 0 and 1. - with pytest.raises(ValueError): - ray.util.placement_group(bundles, _max_cpu_fraction_per_node=-1) - with pytest.raises(ValueError): - ray.util.placement_group(bundles, _max_cpu_fraction_per_node=2) - - pg = ray.util.placement_group( - bundles, strategy=scheduling_strategy, _max_cpu_fraction_per_node=0.5 - ) - - # Placement group will never be scheduled since it would violate the max CPU - # fraction reservation. - with pytest.raises(ray.exceptions.GetTimeoutError): - ray.get(pg.ready(), timeout=5) - - # Add new node with enough CPU cores to scheduled placement group bundle while - # adhering to the max CPU fraction constraint. - if even_pack: - num_cpus = 6 - else: - num_cpus = 8 - cluster.add_node(num_cpus=num_cpus) - cluster.wait_for_nodes() - # The placement group should be schedulable so this shouldn't raise. - ray.get(pg.ready(), timeout=5) - - -def test_placement_group_max_cpu_frac_multiple_pgs(ray_start_cluster): - """ - Make sure when there's more than 1 pg, they respect the fraction. - """ - cluster = ray_start_cluster - cluster.add_node(num_cpus=8) - cluster.wait_for_nodes() - ray.init(address=cluster.address) - - # This pg should be scheduable. - pg = ray.util.placement_group([{"CPU": 4}], _max_cpu_fraction_per_node=0.5) - ray.get(pg.ready()) - - # When we schedule another placement group, it shouldn't be scheduled. - pg2 = ray.util.placement_group([{"CPU": 4}], _max_cpu_fraction_per_node=0.5) - with pytest.raises(ray.exceptions.GetTimeoutError): - ray.get(pg2.ready(), timeout=5) - - # When you add a new node, it is finally schedulable. - cluster.add_node(num_cpus=8) - ray.get(pg2.ready()) - - -def test_placement_group_max_cpu_frac_edge_cases(ray_start_cluster): - """ - _max_cpu_fraction_per_node <= 0 ---> should raise error (always) - _max_cpu_fraction_per_node = 0.999 ---> - should exclude 1 CPU (this is already the case) - _max_cpu_fraction_per_node = 0.001 ---> - should exclude 3 CPUs (not currently the case, we'll exclude all 4 CPUs). - - Related: https://github.com/ray-project/ray/issues/26635 - """ - cluster = ray_start_cluster - cluster.add_node(num_cpus=4) - cluster.wait_for_nodes() - ray.init(address=cluster.address) - - """ - 0 or 1 is not allowed. - """ - with pytest.raises(ValueError): - ray.util.placement_group([{"CPU": 1}], _max_cpu_fraction_per_node=0) - - """ - Make sure when _max_cpu_fraction_per_node = 0.999, 1 CPU is always excluded. - """ - pg = ray.util.placement_group( - [{"CPU": 1} for _ in range(4)], _max_cpu_fraction_per_node=0.999 - ) - # Since 1 CPU is excluded, we cannot schedule this pg. - with pytest.raises(ray.exceptions.GetTimeoutError): - ray.get(pg.ready(), timeout=5) - ray.util.remove_placement_group(pg) - - # Since 1 CPU is excluded, we can schedule 1 num_cpus actor after creating - # CPU: 1 * 3 bundle placement groups. - @ray.remote(num_cpus=1) - class A: - def ready(self): - pass - - # Try actor creation -> pg creation. - a = A.remote() - ray.get(a.ready.remote()) - pg = ray.util.placement_group( - [{"CPU": 1} for _ in range(3)], _max_cpu_fraction_per_node=0.999 - ) - ray.get(pg.ready()) - - ray.kill(a) - ray.util.remove_placement_group(pg) - - # Make sure the opposite order also works. pg creation -> actor creation. - pg = ray.util.placement_group( - [{"CPU": 1} for _ in range(3)], _max_cpu_fraction_per_node=0.999 - ) - a = A.remote() - ray.get(a.ready.remote()) - ray.get(pg.ready()) - - ray.kill(a) - ray.util.remove_placement_group(pg) - - """ - _max_cpu_fraction_per_node = 0.001 ---> - should exclude 3 CPUs (not currently the case, we'll exclude all 4 CPUs). - """ - # We can schedule up to 1 pg. - pg = ray.util.placement_group([{"CPU": 1}], _max_cpu_fraction_per_node=0.001) - ray.get(pg.ready()) - # Cannot schedule any more PG. - pg2 = ray.util.placement_group([{"CPU": 1}], _max_cpu_fraction_per_node=0.001) - with pytest.raises(ray.exceptions.GetTimeoutError): - ray.get(pg2.ready(), timeout=5) - - # Since 3 CPUs are excluded, we can schedule actors. - actors = [A.remote() for _ in range(3)] - ray.get([a.ready.remote() for a in actors]) - - # Once pg 1 is removed, pg 2 can be created since there's 1 CPU that can be - # used for this pg. - ray.util.remove_placement_group(pg) - ray.get(pg2.ready()) - - def test_placement_group_parallel_submission(ray_start_cluster): NUM_PARALLEL_PGS = 5 cluster = ray_start_cluster diff --git a/python/ray/util/placement_group.py b/python/ray/util/placement_group.py index 7a77d487bd8a..02c45f380484 100644 --- a/python/ray/util/placement_group.py +++ b/python/ray/util/placement_group.py @@ -195,7 +195,6 @@ def placement_group( Return: PlacementGroup: Placement group object. """ - worker = ray._private.worker.global_worker worker.check_connected() @@ -365,6 +364,12 @@ def validate_placement_group( assert _max_cpu_fraction_per_node is not None + if _max_cpu_fraction_per_node != 1.0: + warnings.warn( + "The experimental '_max_cpu_fraction_per_node' option for placement groups " + "is deprecated and will be removed in a future version of Ray." + ) + if _max_cpu_fraction_per_node <= 0 or _max_cpu_fraction_per_node > 1: raise ValueError( "Invalid argument `_max_cpu_fraction_per_node`: " From 68c2fa1084f71e38de74a80efd8d58553749a504 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 7 Jul 2025 17:29:04 -0500 Subject: [PATCH 0072/1566] [core] Unskip `test_placement_group_strict_spread` (#54381) Reason it was skipped seems to no longer be relevant: https://github.com/ray-project/ray/issues/38726 Let's see if it flakes... Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_placement_group.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/python/ray/tests/test_placement_group.py b/python/ray/tests/test_placement_group.py index 749f0eb016d5..8dca2c15f135 100644 --- a/python/ray/tests/test_placement_group.py +++ b/python/ray/tests/test_placement_group.py @@ -7,7 +7,6 @@ import ray from ray._private.utils import get_ray_doc_version from ray._private.test_utils import placement_group_assert_no_leak -from ray._private.test_utils import skip_flaky_core_test_premerge from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray.util.placement_group import ( validate_placement_group, @@ -342,7 +341,6 @@ def value(self): @pytest.mark.parametrize("gcs_actor_scheduling_enabled", [False, True]) -@skip_flaky_core_test_premerge("https://github.com/ray-project/ray/issues/38726") def test_placement_group_strict_spread(ray_start_cluster, gcs_actor_scheduling_enabled): @ray.remote class Actor(object): @@ -410,7 +408,7 @@ def value(self): num_cpus=2, ).remote() with pytest.raises(ray.exceptions.GetTimeoutError): - ray.get(actor_no_resource.value.remote(), timeout=1) + ray.get(actor_no_resource.value.remote(), timeout=0.5) placement_group_assert_no_leak([placement_group]) From 15cbab378c4f744bf94348e78f0672db55026e5a Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Mon, 7 Jul 2025 19:19:57 -0400 Subject: [PATCH 0073/1566] [Data] Revisit async UDF handling in Ray Data (#54190) ## Why are these changes needed? Currently async UDFs handling diverges substantially from sync UDF handling: 1. Sync UDFs: process 1 batch at a time in a loop, yielding results using generator (generator will block if executor is not keeping up to taking up blocks from it) 2. Async UDFs: launches 1 async task per batch and runs all of them *concurrently*, adding produced results into the queue, while elements of that queue are yielded back as a result. Currently, In async UDF scenario concurrency is not constrained at all -- meaning that: 1. Async task for every batch will be launched ASAP 2. Output queue is not constrained and will be growing unbounded (potentially resulting into OOMs) 3. No back-pressure is applied to throttle production irrespective of the speed of the consuming Ray Task Changes --- This PR addresses all of the aforementioned problems by revisiting async UDF handling protocol: 1. Limiting # of batches handled concurrently to no more than specified `max_concurrency` (inside `ray_remote_args` or defaults of 2 for map_batches and 16 for row-based operations) 2. Fixing handling of coroutines vs async-generators 3. Adding comprehensive tests ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Linkun Co-authored-by: Linkun Signed-off-by: Douglas Strodtman --- .../data/_internal/planner/plan_udf_map_op.py | 393 +++++++++++++----- python/ray/data/tests/conftest.py | 5 +- python/ray/data/tests/test_map.py | 282 +++++++++++-- release/llm_tests/batch/test_batch_vllm.py | 56 +++ 4 files changed, 602 insertions(+), 134 deletions(-) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index 3561282bf2b6..ff30f43bf76c 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -5,7 +5,7 @@ import queue from threading import Thread from types import GeneratorType -from typing import Any, Callable, Iterable, List, Optional +from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, TypeVar import numpy as np import pandas as pd @@ -13,6 +13,7 @@ import ray from ray._common.utils import get_or_create_event_loop +from ray._private.ray_constants import env_integer from ray.data._internal.compute import get_compute from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.interfaces.task_context import TaskContext @@ -54,6 +55,17 @@ logger = logging.getLogger(__name__) +# Controls default max-concurrency setting for async row-based UDFs +DEFAULT_ASYNC_ROW_UDF_MAX_CONCURRENCY = env_integer( + "RAY_DATA_DEFAULT_ASYNC_ROW_UDF_MAX_CONCURRENCY", 16 +) + +# Controls default max-concurrency setting for async batch-based UDFs +DEFAULT_ASYNC_BATCH_UDF_MAX_CONCURRENCY = env_integer( + "RAY_DATA_DEFAULT_ASYNC_BATCH_UDF_MAX_CONCURRENCY", 4 +) + + class _MapActorContext: def __init__( self, @@ -107,7 +119,7 @@ def fn(block: Block) -> Block: ) return block except Exception as e: - _handle_debugger_exception(e, block) + _try_wrap_udf_exception(e, block) compute = get_compute(op._compute) transform_fn = _generate_transform_fn_for_map_block(fn) @@ -164,7 +176,7 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": try: return block.filter(expression) except Exception as e: - _handle_debugger_exception(e, block) + _try_wrap_udf_exception(e, block) transform_fn = _generate_transform_fn_for_map_batches(filter_batch_fn) map_transformer = _create_map_transformer_for_map_batches_op( @@ -174,7 +186,7 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": zero_copy_batch=True, ) else: - filter_fn, init_fn = _parse_op_fn(op) + filter_fn, init_fn = _get_udf(op) transform_fn = _generate_transform_fn_for_filter(filter_fn) map_transformer = _create_map_transformer_for_row_based_map_op( transform_fn, init_fn @@ -205,7 +217,7 @@ def plan_udf_map_op( input_physical_dag = physical_children[0] compute = get_compute(op._compute) - fn, init_fn = _parse_op_fn(op) + fn, init_fn = _get_udf(op) if isinstance(op, MapBatches): transform_fn = _generate_transform_fn_for_map_batches(fn) @@ -241,54 +253,75 @@ def plan_udf_map_op( ) -def _parse_op_fn(op: AbstractUDFMap): +def _get_udf(op: AbstractUDFMap): # Note, it's important to define these standalone variables. - # So the parsed functions won't need to caputure the entire operator, which may not + # So the parsed functions won't need to capture the entire operator, which may not # be serializable. - op_fn = op._fn + udf = op._fn fn_args = op._fn_args or () fn_kwargs = op._fn_kwargs or {} - if isinstance(op._fn, CallableClass): + if isinstance(udf, CallableClass): fn_constructor_args = op._fn_constructor_args or () fn_constructor_kwargs = op._fn_constructor_kwargs or {} - is_async_gen = inspect.isasyncgenfunction(op._fn.__call__) + is_async_udf = _is_async_udf(udf.__call__) - # TODO(scottjlee): (1) support non-generator async functions - # (2) make the map actor async - if not is_async_gen: - op_fn = make_callable_class_concurrent(op_fn) + if not is_async_udf: + # TODO(ak) this constrains concurrency for user UDFs to run in a single + # thread irrespective of max_concurrency. Remove + udf = make_callable_class_concurrent(udf) def init_fn(): if ray.data._map_actor_context is None: ray.data._map_actor_context = _MapActorContext( - udf_map_cls=op_fn, - udf_map_fn=op_fn( + udf_map_cls=udf, + udf_map_fn=udf( *fn_constructor_args, **fn_constructor_kwargs, ), - is_async=is_async_gen, + is_async=is_async_udf, ) - if is_async_gen: + if inspect.iscoroutinefunction(udf.__call__): - async def fn(item: Any) -> Any: + async def _wrapped_udf_map_fn(item: Any) -> Any: assert ray.data._map_actor_context is not None assert ray.data._map_actor_context.is_async try: - return ray.data._map_actor_context.udf_map_fn( + return await ray.data._map_actor_context.udf_map_fn( item, *fn_args, **fn_kwargs, ) except Exception as e: - _handle_debugger_exception(e, item) + _try_wrap_udf_exception(e, item) + + elif inspect.isasyncgenfunction(udf.__call__): + + async def _wrapped_udf_map_fn(item: Any) -> Any: + assert ray.data._map_actor_context is not None + assert ray.data._map_actor_context.is_async + + try: + gen = ray.data._map_actor_context.udf_map_fn( + item, + *fn_args, + **fn_kwargs, + ) + + async for res in gen: + yield res + except Exception as e: + _try_wrap_udf_exception(e, item) else: + assert isinstance( + udf.__call__, Callable + ), f"Expected Callable, got {udf.__call__} ({type(udf.__call__)})" - def fn(item: Any) -> Any: + def _wrapped_udf_map_fn(item: Any) -> Any: assert ray.data._map_actor_context is not None assert not ray.data._map_actor_context.is_async try: @@ -298,23 +331,23 @@ def fn(item: Any) -> Any: **fn_kwargs, ) except Exception as e: - _handle_debugger_exception(e, item) + _try_wrap_udf_exception(e, item) else: - def fn(item: Any) -> Any: + def _wrapped_udf_map_fn(item: Any) -> Any: try: - return op_fn(item, *fn_args, **fn_kwargs) + return udf(item, *fn_args, **fn_kwargs) except Exception as e: - _handle_debugger_exception(e, item) + _try_wrap_udf_exception(e, item) def init_fn(): pass - return fn, init_fn + return _wrapped_udf_map_fn, init_fn -def _handle_debugger_exception(e: Exception, item: Any = None): +def _try_wrap_udf_exception(e: Exception, item: Any = None): """If the Ray Debugger is enabled, keep the full stack trace unmodified so that the debugger can stop at the initial unhandled exception. Otherwise, clear the stack trace to omit noisy internal code path.""" @@ -376,9 +409,13 @@ def _validate_batch_output(batch: Block) -> None: def _generate_transform_fn_for_map_batches( fn: UserDefinedFunction, ) -> MapTransformCallable[DataBatch, DataBatch]: - if inspect.iscoroutinefunction(fn): - # UDF is a callable class with async generator `__call__` method. - transform_fn = _generate_transform_fn_for_async_map(fn, _validate_batch_output) + + if _is_async_udf(fn): + transform_fn = _generate_transform_fn_for_async_map( + fn, + _validate_batch_output, + max_concurrency=DEFAULT_ASYNC_BATCH_UDF_MAX_CONCURRENCY, + ) else: @@ -391,7 +428,7 @@ def transform_fn( not isinstance(batch, collections.abc.Mapping) and BlockAccessor.for_block(batch).num_rows() == 0 ): - # For empty input blocks, we directly ouptut them without + # For empty input blocks, we directly output them without # calling the UDF. # TODO(hchen): This workaround is because some all-to-all # operators output empty blocks with no schema. @@ -425,68 +462,8 @@ def transform_fn( return transform_fn -def _generate_transform_fn_for_async_map( - fn: UserDefinedFunction, - validate_fn, -) -> MapTransformCallable: - # Generates a transform function for asynchronous mapping of items (either batches or rows) - # using a user-defined function (UDF). This consolidated function handles both asynchronous - # batch processing and asynchronous flat mapping (e.g., rows) based on the provided UDF. - def transform_fn(input_iterable: Iterable, _: TaskContext) -> Iterable: - # Use a queue to store outputs from async generator calls. - # We will put output items into this queue from async - # generators, and in the main event loop, yield them from - # the queue as they become available. - output_item_queue = queue.Queue() - # Sentinel object to signal the end of the async generator. - sentinel = object() - - async def process_item(item): - try: - output_item_iterator = await fn(item) - # As soon as results become available from the async generator, - # put them into the result queue so they can be yielded. - async for output_item in output_item_iterator: - output_item_queue.put(output_item) - except Exception as e: - output_item_queue.put( - e - ) # Put the exception into the queue to signal an error - - async def process_all_items(): - try: - loop = ray.data._map_actor_context.udf_map_asyncio_loop - tasks = [loop.create_task(process_item(x)) for x in input_iterable] - - ctx = ray.data.DataContext.get_current() - if ctx.execution_options.preserve_order: - for task in tasks: - await task - else: - for task in asyncio.as_completed(tasks): - await task - finally: - output_item_queue.put(sentinel) - - # Use the existing event loop to create and run Tasks to process each item - loop = ray.data._map_actor_context.udf_map_asyncio_loop - asyncio.run_coroutine_threadsafe(process_all_items(), loop) - - # Yield results as they become available. - while True: - # Here, `out_item` is a one-row output item - # from the async generator, corresponding to a - # single row from the input item. - out_item = output_item_queue.get() - if out_item is sentinel: - # Break out of the loop when the sentinel is received. - break - if isinstance(out_item, Exception): - raise out_item - validate_fn(out_item) - yield out_item - - return transform_fn +def _is_async_udf(fn: UserDefinedFunction) -> bool: + return inspect.iscoroutinefunction(fn) or inspect.isasyncgenfunction(fn) def _validate_row_output(item): @@ -494,7 +471,7 @@ def _validate_row_output(item): raise ValueError( f"Error validating {_truncated_repr(item)}: " "Standalone Python objects are not " - "allowed in Ray 2.5. To return Python objects from map(), " + "allowed in Ray >= 2.5. To return Python objects from map(), " "wrap them in a dict, e.g., " "return `{'item': item}` instead of just `item`." ) @@ -503,21 +480,37 @@ def _validate_row_output(item): def _generate_transform_fn_for_map_rows( fn: UserDefinedFunction, ) -> MapTransformCallable[Row, Row]: - def transform_fn(rows: Iterable[Row], _: TaskContext) -> Iterable[Row]: - for row in rows: - out_row = fn(row) - _validate_row_output(out_row) - yield out_row + + if _is_async_udf(fn): + transform_fn = _generate_transform_fn_for_async_map( + fn, + _validate_row_output, + # NOTE: UDF concurrency is limited + max_concurrency=DEFAULT_ASYNC_ROW_UDF_MAX_CONCURRENCY, + ) + + else: + + def transform_fn(rows: Iterable[Row], _: TaskContext) -> Iterable[Row]: + for row in rows: + out_row = fn(row) + _validate_row_output(out_row) + yield out_row return transform_fn def _generate_transform_fn_for_flat_map( fn: UserDefinedFunction, -) -> MapTransformCallable[Row, Row]: - if inspect.iscoroutinefunction(fn): +) -> MapTransformCallable[Row, Iterable[Row]]: + if _is_async_udf(fn): # UDF is a callable class with async generator `__call__` method. - transform_fn = _generate_transform_fn_for_async_map(fn, _validate_row_output) + transform_fn = _generate_transform_fn_for_async_map( + fn, + _validate_row_output, + max_concurrency=DEFAULT_ASYNC_ROW_UDF_MAX_CONCURRENCY, + is_flat_map=True, + ) else: @@ -606,3 +599,197 @@ def _create_map_transformer_for_block_based_map_op( BuildOutputBlocksMapTransformFn.for_blocks(), ] return MapTransformer(transform_fns, init_fn=init_fn) + + +_SENTINEL = object() + +T = TypeVar("T") +U = TypeVar("U") + + +def _generate_transform_fn_for_async_map( + fn: UserDefinedFunction, + validate_fn: Callable, + *, + max_concurrency: int, + is_flat_map: bool = False, +) -> MapTransformCallable: + assert max_concurrency > 0, "Max concurrency must be positive" + + if inspect.isasyncgenfunction(fn): + + async def _apply_udf(item: T) -> List[U]: + gen = fn(item) + # NOTE: Async generator is unrolled inside the task to maintain + # requested concurrency level (`max_concurrent_batches`) + return [out async for out in gen] + + elif inspect.iscoroutinefunction(fn): + + async def _apply_udf(item: T) -> List[U]: + res = await fn(item) + return res if is_flat_map else [res] + + else: + raise ValueError(f"Expected a coroutine function, got {fn}") + + # Goals of the algorithm applying async UDF application to the provided iterator + # are following: + # + # - No more than `max_concurrency` async tasks are running + # at any given moment + # - Slow consumption from the output queue should result in + # the processing to get back-pressured (so that output queue + # doesn't grow unbounded) + # - Order of the items (rows/batches) produced by this method + # *must be* deterministic (though is not guaranteed to be specified + # if max_concurrency > 1) + # + # To achieve that, algorithm applying async UDF to elements of the provided sequence + # is structured like following: + # + # - Task scheduling and subsequent results re-ordering are performed as + # different stages (inside `_schedule` and `_report` methods respectively) + # + # - Scheduling stage aim to schedule and run no more than `max_concurrency` tasks + # at any given moment + # + # - Once task completes it's added into task completion queue for its results to be + # subsequently reported with deterministic ordering). Task completion queue is + # capped at `maxsize=max_concurrency` elements to make sure scheduling stage is + # throttled (and task completion queue isn't growing unbounded) in case when + # reporting stage isn't able to keep up. + # + # - Reporting stage dequeues completed tasks from completion queue, reorders + # them (to *always* produce deterministic ordering) and adds its results into + # output queue. + # + # - Output queue is capped at `maxsize=max_concurrency` elements to make sure that + # reporting stage is throttled (and output queue doesn't grow unbounded) in case + # when consumer (Ray task itself) isn't able to keep up + # + async def _execute_transform(it: Iterator[T], output_queue: queue.Queue) -> None: + loop = asyncio.get_running_loop() + + # NOTE: Individual tasks could complete in arbitrary order. + # To make sure that the ordering produced by this transformation + # is deterministic we utilize subsequent reordering stage to + # to keep the output ordering the same as that one of the input + # iterator. + completed_tasks_queue = asyncio.Queue(maxsize=max_concurrency) + # NOTE: This method is nested to support Python 3.9 where we only can + # init `asyncio.Queue` inside the async function + async def _reorder() -> None: + completed_task_map: Dict[int, asyncio.Task] = dict() + next_idx = 0 + completed_scheduling = False + + try: + while not completed_scheduling: + task, idx = await completed_tasks_queue.get() + + if isinstance(task, Exception): + raise task + elif task is _SENTINEL: + completed_scheduling = True + else: + completed_task_map[idx] = task + + while next_idx in completed_task_map: + next_task = completed_task_map.pop(next_idx) + + # NOTE: Once output queue fills up, this will block + # therefore serving as back-pressure for scheduling tasks + # preventing it from scheduling new tasks. + # NOTE: This will block the whole event-loop not just this task + output_queue.put(await next_task) + + next_idx += 1 + + assert ( + len(completed_task_map) == 0 + ), f"{next_idx=}, {completed_task_map.keys()=}" + sentinel = _SENTINEL + + except BaseException as e: + sentinel = e + finally: + output_queue.put(sentinel) + + # NOTE: Reordering is an async process + asyncio.create_task(_reorder()) + + cur_task_map: Dict[asyncio.Task, int] = dict() + consumed = False + + sentinel = _SENTINEL + enumerated_it = enumerate(it) + + try: + while True: + while len(cur_task_map) < max_concurrency and not consumed: + try: + idx, item = next(enumerated_it) + # Launch async task while keeping track of its + # index in the enumerated sequence + task = loop.create_task(_apply_udf(item)) + cur_task_map[task] = idx + except StopIteration: + consumed = True + break + + # Check if any running tasks remaining + if not cur_task_map: + break + + done, pending = await asyncio.wait( + cur_task_map.keys(), return_when=asyncio.FIRST_COMPLETED + ) + + for task in done: + # Report completed tasks along w/ its corresponding + # index in the input sequence + # + # NOTE: Once completed tasks queue fills up, this will block + # therefore serving as back-pressure for scheduling tasks + # preventing it from scheduling new tasks + await completed_tasks_queue.put((task, cur_task_map[task])) + + cur_task_map.pop(task) + + except BaseException as e: + for cur_task in cur_task_map: + if not cur_task.done(): + cur_task.cancel() + + sentinel = e + finally: + assert len(cur_task_map) == 0, f"{cur_task_map}" + await completed_tasks_queue.put((sentinel, None)) + + def _transform(batch_iter: Iterable[T], task_context: TaskContext) -> Iterable[U]: + output_queue = queue.Queue(maxsize=max_concurrency) + + loop = ray.data._map_actor_context.udf_map_asyncio_loop + + asyncio.run_coroutine_threadsafe( + _execute_transform(iter(batch_iter), output_queue), loop + ) + + while True: + items = output_queue.get() + if items is _SENTINEL: + break + elif isinstance(items, Exception): + raise items + else: + # NOTE: Sequences from individual UDFs are combined into a single + # sequence here, as compared to letting individual UDFs to + # add into the output queue to guarantee *deterministic* ordering + # (necessary for Ray Data to be able to guarantee task retries + # producing the same results) + for item in items: + validate_fn(item) + yield item + + return _transform diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index 6a4fc14c2711..c783b30ea4fc 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -275,8 +275,9 @@ def _assert_base_partitioned_ds( @pytest.fixture def restore_data_context(request): """Restore any DataContext changes after the test runs""" - original = copy.deepcopy(ray.data.context.DataContext.get_current()) - yield + ctx = ray.data.context.DataContext.get_current() + original = copy.deepcopy(ctx) + yield ctx ray.data.context.DataContext._set_current(original) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index ccb62fe353c5..7653dd65031b 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -3,9 +3,12 @@ import logging import math import os +import random import threading import time +from asyncio import AbstractEventLoop from typing import Iterator, Literal +from unittest.mock import Mock, patch import numpy as np import pandas as pd @@ -26,6 +29,10 @@ _ref_bundles_iterator_to_block_refs_list, ) from ray.data._internal.execution.operators.actor_pool_map_operator import _MapWorker +from ray.data._internal.planner.plan_udf_map_op import ( + _generate_transform_fn_for_async_map, + _MapActorContext, +) from ray.data.context import DataContext from ray.data.exceptions import UserCodeException from ray.data.tests.conftest import * # noqa @@ -361,14 +368,25 @@ def __call__(self, x): ds.map(UDFClass).take_all() -def test_flat_map_generator(ray_start_regular_shared): +@pytest.mark.parametrize("udf_kind", ["gen", "func"]) +def test_flat_map(ray_start_regular_shared, udf_kind): ds = ray.data.range(3) - def map_generator(item: dict) -> Iterator[int]: - for _ in range(2): - yield {"id": item["id"] + 1} + if udf_kind == "gen": + + def _udf(item: dict) -> Iterator[int]: + for _ in range(2): + yield {"id": item["id"] + 1} + + elif udf_kind == "func": + + def _udf(item: dict) -> dict: + return [{"id": item["id"] + 1} for _ in range(2)] + + else: + pytest.fail(f"Invalid udf_kind: {udf_kind}") - assert sorted(extract_values("id", ds.flat_map(map_generator).take())) == [ + assert sorted(extract_values("id", ds.flat_map(_udf).take())) == [ 1, 1, 2, @@ -1739,22 +1757,33 @@ def test_nonserializable_map_batches(shutdown_only): x.map_batches(lambda _: lock).take(1) -def test_map_batches_async_generator(shutdown_only): +@pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) +def test_async_map_batches(shutdown_only, udf_kind): ray.shutdown() ray.init(num_cpus=10) - async def sleep_and_yield(i): - await asyncio.sleep(i % 5) - return {"input": [i], "output": [2**i]} - class AsyncActor: def __init__(self): pass - async def __call__(self, batch): - tasks = [asyncio.create_task(sleep_and_yield(i)) for i in batch["id"]] - for task in tasks: - yield await task + if udf_kind == "async_gen": + + async def __call__(self, batch): + for i in batch["id"]: + await asyncio.sleep((i % 5) / 100) + yield {"input": [i], "output": [2**i]} + + elif udf_kind == "coroutine": + + async def __call__(self, batch): + await asyncio.sleep(random.randint(0, 5) / 100) + return { + "input": list(batch["id"]), + "output": [2**i for i in batch["id"]], + } + + else: + pytest.fail(f"Unknown udf_kind: {udf_kind}") n = 10 ds = ray.data.range(n, override_num_blocks=2) @@ -1773,30 +1802,35 @@ async def __call__(self, batch): ) -def test_flat_map_async_generator(shutdown_only): - async def fetch_data(id): - return {"id": id} - +@pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) +def test_async_flat_map(shutdown_only, udf_kind): class AsyncActor: def __init__(self): pass - async def __call__(self, row): - id = row["id"] - task1 = asyncio.create_task(fetch_data(id)) - task2 = asyncio.create_task(fetch_data(id + 1)) - print(f"yield task1: {id}") - yield await task1 - print(f"sleep: {id}") - await asyncio.sleep(id % 5) - print(f"yield task2: {id}") - yield await task2 + if udf_kind == "async_gen": + + async def __call__(self, row): + id = row["id"] + yield {"id": id} + await asyncio.sleep(random.randint(0, 5) / 100) + yield {"id": id + 1} + + elif udf_kind == "coroutine": + + async def __call__(self, row): + id = row["id"] + await asyncio.sleep(random.randint(0, 5) / 100) + return [{"id": id}, {"id": id + 1}] + + else: + pytest.fail(f"Unknown udf_kind: {udf_kind}") n = 10 ds = ray.data.from_items([{"id": i} for i in range(0, n, 2)]) ds = ds.flat_map(AsyncActor, concurrency=1, max_concurrency=2) output = ds.take_all() - assert sorted(extract_values("id", output)) == list(range(0, n)), output + assert sorted(extract_values("id", output)) == list(range(n)) def test_map_batches_async_exception_propagation(shutdown_only): @@ -1861,6 +1895,196 @@ async def __call__(self, batch): assert len(output) == len(expected_output), (len(output), len(expected_output)) +class TestGenerateTransformFnForAsyncMap: + @pytest.fixture + def mock_actor_async_ctx(self): + _map_actor_ctx = _MapActorContext(Mock(), Mock(), is_async=True) + + loop: AbstractEventLoop = _map_actor_ctx.udf_map_asyncio_loop + assert loop is not None + + with patch("ray.data._map_actor_context", _map_actor_ctx): + + yield _map_actor_ctx + + loop.call_soon_threadsafe(loop.stop) + _map_actor_ctx.udf_map_asyncio_thread.join() + + def test_non_coroutine_function_assertion(self): + """Test that non-coroutine function raises assertion error.""" + + def sync_fn(x): + return x + + validate_fn = Mock() + + with pytest.raises(ValueError, match="Expected a coroutine function"): + _generate_transform_fn_for_async_map( + sync_fn, validate_fn, max_concurrency=1 + ) + + def test_zero_max_concurrent_batches_assertion(self): + """Test that zero max_concurrent_batches raises assertion error.""" + + async def async_fn(x): + yield x + + validate_fn = Mock() + + with pytest.raises(AssertionError): + _generate_transform_fn_for_async_map( + async_fn, validate_fn, max_concurrency=0 + ) + + def test_empty_input(self, mock_actor_async_ctx): + """Test with empty input iterator.""" + + async def async_fn(x): + yield x + + validate_fn = Mock() + + transform_fn = _generate_transform_fn_for_async_map( + async_fn, validate_fn, max_concurrency=2 + ) + + task_context = Mock() + assert list(transform_fn([], task_context)) == [] + validate_fn.assert_not_called() + + @pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) + def test_basic_async_processing(self, udf_kind, mock_actor_async_ctx): + """Test basic async processing with order preservation.""" + + if udf_kind == "async_gen": + + async def async_fn(x): + # Randomly slow-down UDFs (capped by 5ms) + delay = random.randint(0, 5) / 1000 + await asyncio.sleep(delay) + yield x + + elif udf_kind == "coroutine": + + async def async_fn(x): + # Randomly slow-down UDFs (capped by 5ms) + delay = random.randint(0, 5) / 1000 + await asyncio.sleep(delay) + return x + + else: + pytest.fail(f"Unrecognized udf_kind ({udf_kind})") + + validate_fn = Mock() + + transform_fn = _generate_transform_fn_for_async_map( + async_fn, validate_fn, max_concurrency=100 + ) + + N = 10_000 + + task_context = Mock() + result = list(transform_fn(range(N), task_context)) + + assert result == list(range(N)) + assert validate_fn.call_count == N + + @pytest.mark.parametrize("result_len", [0, 5]) + def test_basic_async_processing_with_iterator( + self, + result_len: int, + mock_actor_async_ctx, + ): + """Test UDF that yields multiple items per input.""" + + async def multi_yield_fn(x): + for i in range(result_len): + yield f"processed_{x}_{i}" + + validate_fn = Mock() + + transform_fn = _generate_transform_fn_for_async_map( + multi_yield_fn, validate_fn, max_concurrency=2 + ) + + task_context = Mock() + + input_seq = [1, 2] + + # NOTE: Outputs are expected to match input sequence ordering + expected = [f"processed_{x}_{i}" for x in input_seq for i in range(result_len)] + + assert list(transform_fn(input_seq, task_context)) == expected + + def test_concurrency_limiting(self, mock_actor_async_ctx, restore_data_context): + """Test that concurrency is properly limited.""" + max_concurrency = 10 + + concurrent_task_counter = 0 + + async def async_fn(x): + # NOTE: This is safe, since event-loop is single-threaded + nonlocal concurrent_task_counter + concurrent_task_counter += 1 + + assert concurrent_task_counter <= max_concurrency + + yield x + + # NOTE: We're doing sleep here to interrupt the task and yield + # event loop to the next one (otherwise tasks will simply be + # completed sequentially) + await asyncio.sleep(0.001) + + concurrent_task_counter -= 1 + + validate_fn = Mock() + + transform_fn = _generate_transform_fn_for_async_map( + async_fn, validate_fn, max_concurrency=max_concurrency + ) + + task_context = Mock() + result = list(transform_fn(range(10_000), task_context)) + assert len(result) == 10_000 + + @pytest.mark.parametrize("failure_kind", ["udf", "validation"]) + def test_exception_in_udf( + self, + failure_kind: str, + mock_actor_async_ctx, + ): + """Test exception handling in UDF.""" + + udf_failure_msg = "UDF failure" + validation_failure_msg = "Validation failure" + + async def failing_async_fn(x): + if failure_kind == "udf" and x == 2: + raise ValueError(udf_failure_msg) + yield x + + def validate_fn(x): + if failure_kind == "validation" and x == 2: + raise ValueError(validation_failure_msg) + + transform_fn = _generate_transform_fn_for_async_map( + failing_async_fn, validate_fn, max_concurrency=2 + ) + + task_context = Mock() + + if failure_kind == "udf": + expected_exception_msg = udf_failure_msg + elif failure_kind == "validation": + expected_exception_msg = validation_failure_msg + else: + pytest.fail(f"Unexpected failure type ({failure_kind})") + + with pytest.raises(ValueError, match=expected_exception_msg): + list(transform_fn([1, 2, 3], task_context)) + + @pytest.mark.parametrize("fn_type", ["func", "class"]) def test_map_operator_warns_on_few_inputs( fn_type: Literal["func", "class"], shutdown_only diff --git a/release/llm_tests/batch/test_batch_vllm.py b/release/llm_tests/batch/test_batch_vllm.py index bc56c02adccc..be93f1dfb9ab 100644 --- a/release/llm_tests/batch/test_batch_vllm.py +++ b/release/llm_tests/batch/test_batch_vllm.py @@ -262,5 +262,61 @@ def test_vllm_vision_language_models( assert all("resp" in out for out in outs) +@pytest.mark.parametrize("concurrency", [1, 4]) +def test_async_udf_queue_capped(concurrency): + """ + Test that the large object in input/output rows + are stored in object store and does not OOM. + """ + + processor_config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + engine_kwargs=dict( + max_model_len=16384, + enable_chunked_prefill=True, + max_num_batched_tokens=2048, + ), + tokenize=False, + detokenize=False, + batch_size=4, + accelerator_type=None, + concurrency=concurrency, + ) + + processor = build_llm_processor( + processor_config, + preprocess=lambda row: dict( + # 1M emoji (4 bytes), should not leak to memory heap. + large_memory_to_carry_over="🤗" * 1_000_000, + messages=[ + {"role": "system", "content": "You are a calculator"}, + {"role": "user", "content": f"{row['id']} ** 3 = ?"}, + ], + sampling_params=dict( + temperature=0.3, + # we don't care about the actual output + max_tokens=1, + detokenize=False, + ), + ), + postprocess=lambda row: { + "resp": row["generated_text"], + "large_memory_still_there": "large_memory_to_carry_over" in row, + }, + ) + + ds = ray.data.range(12000) + + def map_id_to_val_in_test_no_memory_leak(x): + return {"id": x["id"], "val": x["id"] + 5} + + ds = ds.map(map_id_to_val_in_test_no_memory_leak) + ds = processor(ds) + ds = ds.materialize() + + outs = ds.take_all() + assert all(out["large_memory_still_there"] for out in outs) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 383f058125c2a35c52e76083f267bc1f8fdf3a2d Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Mon, 7 Jul 2025 16:50:53 -0700 Subject: [PATCH 0074/1566] [data.llm] Return a batch of rows in the udf instead of row by row (#54329) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/batch/stages/base.py | 14 +++++--------- .../batch/cpu/stages/test_chat_template_stage.py | 16 +++++++--------- .../batch/cpu/stages/test_http_request_stage.py | 4 ++-- .../tests/batch/cpu/stages/test_stage_base.py | 5 ++--- .../batch/cpu/stages/test_tokenize_stage.py | 4 ++-- .../batch/gpu/stages/test_sglang_engine_stage.py | 2 +- 6 files changed, 19 insertions(+), 26 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/base.py b/python/ray/llm/_internal/batch/stages/base.py index 0723e6aca681..8e57f1738838 100644 --- a/python/ray/llm/_internal/batch/stages/base.py +++ b/python/ray/llm/_internal/batch/stages/base.py @@ -160,14 +160,8 @@ async def __call__(self, batch: Dict[str, Any]) -> AsyncIterator[Dict[str, Any]] for idx, row in enumerate(inputs): row[self.IDX_IN_BATCH_COLUMN] = idx - # Always stream the outputs one by one to better overlapping - # batches. For example, when the output batch size is 64, Ray Data - # will collect 64 outputs, and 1) send the batch of 64 to the next stage, - # 2) get the next batch of this stage. Assuming the input batch size - # is 63 and we yield all 63 results at once, then Ray Data will wait - # for 2 batches (63 + 63 > 64) to continue proceeding. On the other hand, - # if we stream outputs one-by-one, Ray Data can form a batch of 64 before - # the second batch is done. + # Collect all outputs first, then return them in the original order + # This is a requirement set by https://github.com/ray-project/ray/pull/54190/ not_outputed_rows = set(range(len(inputs))) async for output in self.udf(inputs): if self.IDX_IN_BATCH_COLUMN not in output: @@ -186,11 +180,13 @@ async def __call__(self, batch: Dict[str, Any]) -> AsyncIterator[Dict[str, Any]] # Add stage outputs to the data column of the row. inputs[idx_in_batch].pop(self.IDX_IN_BATCH_COLUMN) inputs[idx_in_batch].update(output) - yield {self.data_column: [inputs[idx_in_batch]]} if not_outputed_rows: raise ValueError(f"The rows {not_outputed_rows} are not outputed.") + # Return all updated inputs in the original order + yield {self.data_column: inputs} + def validate_inputs(self, inputs: List[Dict[str, Any]]): """Validate the inputs to make sure the required keys are present. diff --git a/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py b/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py index da73241f46b9..2f683d635aa1 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py @@ -43,10 +43,10 @@ async def test_chat_template_udf_basic(mock_tokenizer_setup): results = [] async for result in udf(batch): - results.append(result) + results.extend(result["__data"]) assert len(results) == 1 - assert results[0]["__data"][0]["prompt"] == "Hello AI" + assert results[0]["prompt"] == "Hello AI" mock_tokenizer.apply_chat_template.assert_called_once() @@ -83,9 +83,9 @@ async def test_chat_template_udf_multiple_messages(mock_tokenizer_setup): async for result in udf(batch): results.append(result) - assert len(results) == 2 + assert len(results) == 1 assert results[0]["__data"][0]["prompt"] == "Hello AI" - assert results[1]["__data"][0]["prompt"] == "How are you?" + assert results[0]["__data"][1]["prompt"] == "How are you?" assert mock_tokenizer.apply_chat_template.call_count == 2 @@ -123,14 +123,12 @@ async def test_chat_template_udf_assistant_prefill(mock_tokenizer_setup): results = [] async for result in udf(batch): - results.append(result) + results.extend(result["__data"]) assert len(results) == 2 assert mock_tokenizer.apply_chat_template.call_count == 2 - assert ( - results[0]["__data"][0]["prompt"] == "Hello AI\n" - ) - assert results[1]["__data"][0]["prompt"] == "Hello AI" + assert results[0]["prompt"] == "Hello AI\n" + assert results[1]["prompt"] == "Hello AI" # check if kwargs were set properly call_args_list = mock_tokenizer.apply_chat_template.call_args_list args1, kwargs1 = call_args_list[0] diff --git a/python/ray/llm/tests/batch/cpu/stages/test_http_request_stage.py b/python/ray/llm/tests/batch/cpu/stages/test_http_request_stage.py index 975ab1260163..55af6556453f 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_http_request_stage.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_http_request_stage.py @@ -73,7 +73,7 @@ async def test_http_request_udf_with_qps(mock_session): results = [] async for result in udf(batch): - results.append(result) + results.extend(result["__data"]) assert len(results) == 2 assert mock_sleep.called # Should have called sleep for QPS limiting @@ -113,7 +113,7 @@ async def test_http_request_udf_with_retry(mock_response): with patch("asyncio.sleep") as mock_sleep: results = [] async for result in udf(batch): - results.append(result) + results.extend(result["__data"]) assert len(results) == 2 mock_sleep.assert_called() diff --git a/python/ray/llm/tests/batch/cpu/stages/test_stage_base.py b/python/ray/llm/tests/batch/cpu/stages/test_stage_base.py index b0c8c3357019..3bd73deef5ba 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_stage_base.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_stage_base.py @@ -73,11 +73,10 @@ async def test_basic_processing(self): results = [] async for result in udf(batch): - results.append(result) + results.extend(result["__data"]) assert len(results) == 2 - for result in results: - data = result["__data"][0] + for data in results: val = data["value"] assert data["processed"] == val * 2 assert data["extra"] == 10 * val diff --git a/python/ray/llm/tests/batch/cpu/stages/test_tokenize_stage.py b/python/ray/llm/tests/batch/cpu/stages/test_tokenize_stage.py index c91526626b14..373f94ce20d6 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_tokenize_stage.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_tokenize_stage.py @@ -35,7 +35,7 @@ async def test_tokenize_udf_basic(mock_tokenizer_setup): results = [] async for result in udf(batch): - results.append(result["__data"][0]) + results.extend(result["__data"]) assert len(results) == 2 assert all(result["tokenized_prompt"] == [1, 2, 3] for result in results) @@ -64,7 +64,7 @@ async def test_detokenize_udf_basic(mock_tokenizer_setup): results = [] async for result in udf(batch): - results.append(result["__data"][0]) + results.extend(result["__data"]) assert len(results) == 2 assert results[0]["generated_text"] == "Hello" diff --git a/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py index bb0e7b62f1ec..9f0d3a453f0f 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py @@ -168,7 +168,7 @@ async def test_sglang_engine_udf_basic(mock_sglang_wrapper, model_llama_3_2_216M responses = [] async for response in udf(batch): - responses.append(response["__data"][0]) + responses.extend(response["__data"]) assert len(responses) == 2 assert all("batch_uuid" in r for r in responses) From 9dc3bd63d6bfe942a25075adc6bab477cfa6f763 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Mon, 7 Jul 2025 17:05:28 -0700 Subject: [PATCH 0075/1566] [core][GPU Objects] Disable tensordict tests in macos ci (#54375) tensordict requires macos Sequoia to run, which version is too high to run on ray's macos CI Signed-off-by: Douglas Strodtman --- python/ray/tests/test_gpu_objects_gloo.py | 50 +++++++++++++++++------ python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- 3 files changed, 40 insertions(+), 14 deletions(-) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index ef46ee38d1e0..f134b6c15f3f 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -2,11 +2,16 @@ import random import torch import pytest -from tensordict import TensorDict import ray from ray.experimental.collective import create_collective_group from ray._private.custom_types import TensorTransportEnum +# tensordict is not supported on macos ci, so we skip the tests +support_tensordict = sys.platform != "darwin" + +if support_tensordict: + from tensordict import TensorDict + @ray.remote class GPUTestActor: @@ -17,7 +22,7 @@ def echo(self, data): def double(self, data): if isinstance(data, list): return [self.double(d) for d in data] - if isinstance(data, TensorDict): + if support_tensordict and isinstance(data, TensorDict): return data.apply(lambda x: x * 2) return data * 2 @@ -107,12 +112,16 @@ def test_multiple_tensors(ray_start_regular): tensor1 = torch.randn((1,)) tensor2 = torch.randn((2,)) - td1 = TensorDict( - {"action1": torch.randn((2,)), "reward1": torch.randn((2,))}, batch_size=[2] - ) - td2 = TensorDict( - {"action2": torch.randn((2,)), "reward2": torch.randn((2,))}, batch_size=[2] - ) + if support_tensordict: + td1 = TensorDict( + {"action1": torch.randn((2,)), "reward1": torch.randn((2,))}, batch_size=[2] + ) + td2 = TensorDict( + {"action2": torch.randn((2,)), "reward2": torch.randn((2,))}, batch_size=[2] + ) + else: + td1 = 0 + td2 = 0 cpu_data = random.randint(0, 100) data = [tensor1, tensor2, cpu_data, td1, td2] @@ -124,10 +133,11 @@ def test_multiple_tensors(ray_start_regular): assert result[0] == pytest.approx(tensor1 * 2) assert result[1] == pytest.approx(tensor2 * 2) assert result[2] == cpu_data * 2 - assert result[3]["action1"] == pytest.approx(td1["action1"] * 2) - assert result[3]["reward1"] == pytest.approx(td1["reward1"] * 2) - assert result[4]["action2"] == pytest.approx(td2["action2"] * 2) - assert result[4]["reward2"] == pytest.approx(td2["reward2"] * 2) + if support_tensordict: + assert result[3]["action1"] == pytest.approx(td1["action1"] * 2) + assert result[3]["reward1"] == pytest.approx(td1["reward1"] * 2) + assert result[4]["action2"] == pytest.approx(td2["action2"] * 2) + assert result[4]["reward2"] == pytest.approx(td2["reward2"] * 2) def test_trigger_out_of_band_tensor_transfer(ray_start_regular): @@ -190,6 +200,10 @@ def test_fetch_gpu_object_to_driver(ray_start_regular): assert result[2] == 7 +@pytest.mark.skipif( + not support_tensordict, + reason="tensordict is not supported on this platform", +) def test_invalid_tensor_transport(ray_start_regular): with pytest.raises(ValueError, match="Invalid tensor transport"): @@ -200,6 +214,10 @@ def echo(self, data): return data +@pytest.mark.skipif( + not support_tensordict, + reason="tensordict is not supported on this platform", +) def test_tensordict_transfer(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] @@ -217,6 +235,10 @@ def test_tensordict_transfer(ray_start_regular): assert td_result["reward"] == pytest.approx(td["reward"] * 2) +@pytest.mark.skipif( + not support_tensordict, + reason="tensordict is not supported on this platform", +) def test_nested_tensordict(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] @@ -238,6 +260,10 @@ def test_nested_tensordict(ray_start_regular): assert torch.equal(ret_val_src["test"], outer_td["test"] * 2) +@pytest.mark.skipif( + not support_tensordict, + reason="tensordict is not supported on this platform", +) def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular): actor = GPUTestActor.remote() create_collective_group([actor], backend="torch_gloo") diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index c340d7643e90..6f45257b5663 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -111,7 +111,7 @@ threadpoolctl==3.1.0 numexpr==2.8.4 # For test_gpu_objects_gloo.py -tensordict==0.8.3 +tensordict==0.8.3 ; sys_platform != "darwin" # For `serve run --reload` CLI. watchfiles==0.19.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index e2cdc471ed39..f596c44bb87c 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -2183,7 +2183,7 @@ tensorboardx==2.6.2.2 # -r python/requirements.txt # -r python/requirements/test-requirements.txt # pytorch-lightning -tensordict==0.8.3 +tensordict==0.8.3 ; sys_platform != "darwin" # via -r python/requirements/test-requirements.txt tensorflow==2.15.1 ; python_version < "3.12" and (sys_platform != "darwin" or platform_machine != "arm64") # via -r python/requirements/ml/dl-cpu-requirements.txt From 1255b331388387855a0da24cc984187867253ebb Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 7 Jul 2025 18:38:23 -0700 Subject: [PATCH 0076/1566] [release] Make KubeRay test run nightly (#54243) Change KubeRay variant of this test to run nightly. Please hold off on merging PR, @khluu needs to confirm if the job needs to be deleted after each run (otherwise if the job stays on the cluster, new jobs wouldn't run) --------- Signed-off-by: Kevin H. Luu Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/ray_release/glue.py | 11 +++++++++-- release/release_tests.yaml | 2 +- release/run_release_test.sh | 1 - 3 files changed, 10 insertions(+), 4 deletions(-) diff --git a/release/ray_release/glue.py b/release/ray_release/glue.py index 028095e995c4..c54c246ba60f 100644 --- a/release/ray_release/glue.py +++ b/release/ray_release/glue.py @@ -1,6 +1,9 @@ import os +import hashlib import time import traceback +import random +import string from typing import Optional, List, Tuple from ray_release.alerts.handle import handle_result, require_result @@ -432,10 +435,14 @@ def run_release_test_kuberay( working_dir_upload_path = upload_working_dir(get_working_dir(test)) command_timeout = int(test["run"].get("timeout", DEFAULT_COMMAND_TIMEOUT)) - + test_name_hash = hashlib.sha256(test["name"].encode()).hexdigest()[:10] + # random 8 digit suffix + random_suffix = "".join(random.choices(string.digits, k=8)) + job_name = f"{test['name'][:20]}-{test_name_hash}-{random_suffix}".replace("_", "-") + logger.info(f"Job name: {job_name}") kuberay_job_manager = KubeRayJobManager() retcode, duration = kuberay_job_manager.run_and_wait( - job_name=test["name"].replace(".", "-").replace("_", "-"), + job_name=job_name, image=test.get_anyscale_byod_image(), cmd_to_run=test["run"]["script"], env_vars=test.get_byod_runtime_env(), diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 47c860672be9..b4628c33336b 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -937,7 +937,7 @@ cluster_compute: tpl_gce_1x16.yaml - __suffix__: kuberay env: kuberay - frequency: manual + frequency: nightly cluster: cluster_compute: kuberay.yaml diff --git a/release/run_release_test.sh b/release/run_release_test.sh index 155e7a3e685c..88e9babd0a0f 100755 --- a/release/run_release_test.sh +++ b/release/run_release_test.sh @@ -99,7 +99,6 @@ while [ "$RETRY_NUM" -lt "$MAX_RETRIES" ]; do if [[ "$1" == *".kuberay"* ]]; then export GOOGLE_CLOUD_PROJECT=dhyey-dev export AWS_REGION="us-west-2" - ./gcloud_docker_login.sh aws2kuberay_gke.json fi trap _term SIGINT SIGTERM From dfab6148cc827d323146d2bd31edf8ee435c8189 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 7 Jul 2025 19:04:11 -0700 Subject: [PATCH 0077/1566] updating raydepsets test job (#54387) Updating test job for raydepsets - removing --only-tags and parallelism-per-worker flags Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/cicd.rayci.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.buildkite/cicd.rayci.yml b/.buildkite/cicd.rayci.yml index ce287f200be8..1f5aaa091020 100644 --- a/.buildkite/cicd.rayci.yml +++ b/.buildkite/cicd.rayci.yml @@ -19,8 +19,7 @@ steps: commands: - bazel run //ci/ray_ci:test_in_docker -- //ci/raydepsets/... ci - --only-tags=release_unit,ci_unit - --cache-test-results --parallelism-per-worker 1 + --cache-test-results --build-name oss-ci-base_test --build-type skip instance_type: small From ac0f58188a3f4314b98e44af469a276c334b86c1 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 7 Jul 2025 19:04:43 -0700 Subject: [PATCH 0078/1566] [ci] upgrade rayci version to 0.16.0 (#54392) with some more features and goodies Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .rayciversion | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.rayciversion b/.rayciversion index ac454c6a1fc3..04a373efe6ba 100644 --- a/.rayciversion +++ b/.rayciversion @@ -1 +1 @@ -0.12.0 +0.16.0 From 89a9b69a7e5b034e6febe1538ee90f09a0a9b255 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 8 Jul 2025 03:13:39 -0400 Subject: [PATCH 0079/1566] [Data] Fixing `sort_benchmark` to avoid offsets overflows with Pyarrow (#54390) ## Why are these changes needed? Addresses https://github.com/ray-project/ray/issues/53546 Currently, we're using unbounded size data type (binary) that internally utilizes int32 offsets to index individual elements. Using int32 offsets imposes a max limit on the cumulative size of the column being 2^31-1 bytes, which this tests consistently violates. This change addresses that by replacing arbitrary length `binary` type with fixed-size `binary` type that doesn't use int32 offsets (instead just relying on int64 element counter) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../nightly_tests/dataset/sort_benchmark.py | 25 ++++++++++--------- 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/release/nightly_tests/dataset/sort_benchmark.py b/release/nightly_tests/dataset/sort_benchmark.py index 2bfdc98fc396..9729f89cb714 100644 --- a/release/nightly_tests/dataset/sort_benchmark.py +++ b/release/nightly_tests/dataset/sort_benchmark.py @@ -36,7 +36,17 @@ def prepare_read( block_size = max(1, n // parallelism) row = np.random.bytes(row_size_bytes) - def make_block(count: int, row_size_bytes: int) -> Block: + schema = pyarrow.schema( + [ + pyarrow.field("c_0", pyarrow.int64()), + # NOTE: We use fixed-size binary type to avoid Arrow (list) offsets + # overflows when using non-fixed-size data-types (like string, + # binary, list, etc) whose size exceeds int32 limit (of 2^31-1) + pyarrow.field("c_1", pyarrow.binary(row_size_bytes)), + ] + ) + + def make_block(count: int) -> Block: return pyarrow.Table.from_arrays( [ np.random.randint( @@ -44,16 +54,9 @@ def make_block(count: int, row_size_bytes: int) -> Block: ), [row for _ in range(count)], ], - names=["c_0", "c_1"], + schema=schema, ) - schema = pyarrow.Table.from_pydict( - { - "c_0": [0], - "c_1": [row], - } - ).schema - i = 0 while i < n: count = min(block_size, n - i) @@ -65,9 +68,7 @@ def make_block(count: int, row_size_bytes: int) -> Block: ) read_tasks.append( ReadTask( - lambda count=count, row_size_bytes=row_size_bytes: [ - make_block(count, row_size_bytes) - ], + lambda count=count: [make_block(count)], meta, schema=schema, ) From 61be7f15111275a7fe0eb20db00ab4b35fc8b122 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 02:40:23 -0700 Subject: [PATCH 0080/1566] [data] dask: disable smoke test (#54411) forgot to disable it last round Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index b4628c33336b..445f6f114250 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -3002,7 +3002,7 @@ smoke_test: - frequency: nightly + frequency: manual # was nightly cluster: cluster_compute: dask_on_ray/large_scale_dask_on_ray_compute_template.yaml From f2ff8342615d0b75bb4b0959b5643be1a1c10596 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 03:27:38 -0700 Subject: [PATCH 0081/1566] [ci] release tests: remove unused app configs (#54410) many release configs are not used anywhere anymore. the tests are no longer using the buildfarm to build the image Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../air_tests/air_benchmarks/app_config.yaml | 13 ----- .../frequent_pausing/app_config.yaml | 14 ------ .../stress_tests_tune_air_oom_app_config.yaml | 17 ------- release/autoscaling_tests/app_config.yaml | 11 ----- release/cluster_tests/app_config.yaml | 15 ------ .../dashboard/agent_stress_app_config.yaml | 39 --------------- .../torch_tune_serve_app_config.yaml | 19 ------- release/jobs_tests/app_config.yaml | 14 ------ release/k8s_tests/app_config.yaml | 24 --------- .../app_config.yaml | 15 ------ release/long_running_tests/app_config.yaml | 29 ----------- release/ml_user_tests/horovod/app_config.yaml | 17 ------- release/ml_user_tests/train/app_config.yaml | 15 ------ .../nightly_tests/chaos_test/app_config.yaml | 12 ----- .../dask_on_ray/dask_on_ray_app_config.yaml | 20 -------- .../large_scale_dask_on_ray_app_config.yaml | 15 ------ release/nightly_tests/dataset/app_config.yaml | 17 ------- .../dataset/shuffle_app_config.yaml | 11 ----- .../decision_tree_app_config.yaml | 13 ----- .../placement_group_tests/app_config.yaml | 11 ----- .../shuffle/100tb_shuffle_app_config.yaml | 18 ------- .../shuffle/shuffle_app_config.yaml | 17 ------- .../shuffle_with_state_api_app_config.yaml | 12 ----- ...ress_tests_single_node_oom_app_config.yaml | 11 ----- release/rllib_tests/app_config.yaml | 45 ----------------- release/rllib_tests/debug_app_config.yaml | 49 ------------------- release/runtime_env_tests/app_config.yaml | 11 ----- release/serve_tests/app_config.yaml | 15 ------ release/serve_tests/gpu_app_config.yaml | 16 ------ release/train_tests/horovod/app_config.yaml | 17 ------- .../fault_tolerance_tests/app_config.yaml | 12 ----- 31 files changed, 564 deletions(-) delete mode 100644 release/air_tests/air_benchmarks/app_config.yaml delete mode 100644 release/air_tests/frequent_pausing/app_config.yaml delete mode 100644 release/air_tests/oom/stress_tests_tune_air_oom_app_config.yaml delete mode 100755 release/autoscaling_tests/app_config.yaml delete mode 100755 release/cluster_tests/app_config.yaml delete mode 100644 release/dashboard/agent_stress_app_config.yaml delete mode 100755 release/golden_notebook_tests/torch_tune_serve_app_config.yaml delete mode 100644 release/jobs_tests/app_config.yaml delete mode 100644 release/k8s_tests/app_config.yaml delete mode 100644 release/long_running_distributed_tests/app_config.yaml delete mode 100755 release/long_running_tests/app_config.yaml delete mode 100644 release/ml_user_tests/horovod/app_config.yaml delete mode 100644 release/ml_user_tests/train/app_config.yaml delete mode 100644 release/nightly_tests/chaos_test/app_config.yaml delete mode 100644 release/nightly_tests/dask_on_ray/dask_on_ray_app_config.yaml delete mode 100644 release/nightly_tests/dask_on_ray/large_scale_dask_on_ray_app_config.yaml delete mode 100644 release/nightly_tests/dataset/app_config.yaml delete mode 100644 release/nightly_tests/dataset/shuffle_app_config.yaml delete mode 100644 release/nightly_tests/decision_tree/decision_tree_app_config.yaml delete mode 100644 release/nightly_tests/placement_group_tests/app_config.yaml delete mode 100644 release/nightly_tests/shuffle/100tb_shuffle_app_config.yaml delete mode 100644 release/nightly_tests/shuffle/shuffle_app_config.yaml delete mode 100644 release/nightly_tests/shuffle/shuffle_with_state_api_app_config.yaml delete mode 100644 release/nightly_tests/stress_tests/stress_tests_single_node_oom_app_config.yaml delete mode 100755 release/rllib_tests/app_config.yaml delete mode 100755 release/rllib_tests/debug_app_config.yaml delete mode 100644 release/runtime_env_tests/app_config.yaml delete mode 100644 release/serve_tests/app_config.yaml delete mode 100644 release/serve_tests/gpu_app_config.yaml delete mode 100644 release/train_tests/horovod/app_config.yaml delete mode 100755 release/tune_tests/fault_tolerance_tests/app_config.yaml diff --git a/release/air_tests/air_benchmarks/app_config.yaml b/release/air_tests/air_benchmarks/app_config.yaml deleted file mode 100644 index ea77089629c4..000000000000 --- a/release/air_tests/air_benchmarks/app_config.yaml +++ /dev/null @@ -1,13 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {} -debian_packages: - - curl - -python: - pip_packages: - - pytest - conda_packages: [] - -post_build_cmds: - - pip3 uninstall ray -y || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/air_tests/frequent_pausing/app_config.yaml b/release/air_tests/frequent_pausing/app_config.yaml deleted file mode 100644 index 5dda42036f21..000000000000 --- a/release/air_tests/frequent_pausing/app_config.yaml +++ /dev/null @@ -1,14 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] -# Lower the threshold to trigger memory pressure. -env_vars: {"RAY_memory_usage_threshold": "0.5", "automatic_object_spilling_enabled": "0"} - - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/air_tests/oom/stress_tests_tune_air_oom_app_config.yaml b/release/air_tests/oom/stress_tests_tune_air_oom_app_config.yaml deleted file mode 100644 index f78a5dd255c7..000000000000 --- a/release/air_tests/oom/stress_tests_tune_air_oom_app_config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] -# Lower the threshold to trigger memory pressure. -# TODO: turn on infinite retry by default when we switch to new policy. -env_vars: {"RAY_memory_usage_threshold": "0.7", "RAY_task_oom_retries": "-1"} - - -python: - pip_packages: - - tensorflow - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install ray[default] - - echo {{env["DATESTAMP"]}} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/autoscaling_tests/app_config.yaml b/release/autoscaling_tests/app_config.yaml deleted file mode 100755 index 5064819a8277..000000000000 --- a/release/autoscaling_tests/app_config.yaml +++ /dev/null @@ -1,11 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: [] - -python: - pip_packages: [rich] - conda_packages: [] - -post_build_cmds: - - pip uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/cluster_tests/app_config.yaml b/release/cluster_tests/app_config.yaml deleted file mode 100755 index 08ab8c315c8b..000000000000 --- a/release/cluster_tests/app_config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: - - curl - -python: - pip_packages: - - pytest - - awscli - - pyarrow>=6.0.1,<7.0.0 - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/dashboard/agent_stress_app_config.yaml b/release/dashboard/agent_stress_app_config.yaml deleted file mode 100644 index 4285e1b35c28..000000000000 --- a/release/dashboard/agent_stress_app_config.yaml +++ /dev/null @@ -1,39 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -debian_packages: [] -env_vars: {"RAY_INTERNAL_MEM_PROFILE_COMPONENTS": "dashboard_agent"} -debian_packages: - - htop - - curl - -python: - pip_packages: - - anyscale>=0.5.47 - - gcsfs==2022.5.0 - - gym==0.20.0 - - openskill - - protobuf>=3.15.3,<4.0.0 - - pyarrow==6.0.1 - - semidbm==0.5.1 - - trueskill - - wandb - - memray - - typer - conda_packages: [] - -post_build_cmds: - - pip uninstall ale-py -y - - pip install ale-py==0.7 - - pip uninstall importlib-metadata -y - - pip install importlib-metadata==4.13.0 - # AutoROM downloads ROMs via torrent when they are built. The torrent is unreliable, - # so we built it for py3 and use that instead. This wheel was tested for python 3.7, 3.8, - # and 3.9. - - pip install gym[atari] https://ray-ci-deps-wheels.s3.us-west-2.amazonaws.com/AutoROM.accept_rom_license-0.5.4-py3-none-any.whl - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - - sudo apt-get update - - echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list - - sudo apt-get install -y apt-transport-https ca-certificates gnupg - - curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - - - sudo apt-get update && sudo apt-get install -y google-cloud-sdk diff --git a/release/golden_notebook_tests/torch_tune_serve_app_config.yaml b/release/golden_notebook_tests/torch_tune_serve_app_config.yaml deleted file mode 100755 index b4fb7050386a..000000000000 --- a/release/golden_notebook_tests/torch_tune_serve_app_config.yaml +++ /dev/null @@ -1,19 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: { } -debian_packages: - - curl - -python: - pip_packages: - - pytest - - torch - - torchvision - - fastapi - - uvicorn - - tblib - - filelock>=3.3.0 - conda_packages: [ ] - -post_build_cmds: - - pip uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/jobs_tests/app_config.yaml b/release/jobs_tests/app_config.yaml deleted file mode 100644 index 383d65373625..000000000000 --- a/release/jobs_tests/app_config.yaml +++ /dev/null @@ -1,14 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {} -debian_packages: - - curl - - unzip - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - 'rm -r wrk || true && git clone https://github.com/wg/wrk.git /tmp/wrk && cd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin' - - pip uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/k8s_tests/app_config.yaml b/release/k8s_tests/app_config.yaml deleted file mode 100644 index aa6d916655da..000000000000 --- a/release/k8s_tests/app_config.yaml +++ /dev/null @@ -1,24 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: - - curl - - unzip - - jq - - apt-transport-https - - ca-certificates - - gnupg - -python: - pip_packages: - - kubernetes - conda_packages: [] - -post_build_cmds: - # Install gcloud tools - - sudo apt-get remove -y google-cloud-sdk - - echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list - - curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - - - sudo apt-get update && sudo apt-get install google-cloud-cli - - sudo apt-get install google-cloud-sdk-gke-gcloud-auth-plugin - - curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash - - helm repo add deliveryhero https://charts.deliveryhero.io/ diff --git a/release/long_running_distributed_tests/app_config.yaml b/release/long_running_distributed_tests/app_config.yaml deleted file mode 100644 index 84cb51de8142..000000000000 --- a/release/long_running_distributed_tests/app_config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {} -debian_packages: - - curl - -python: - pip_packages: - - pytest - - awscli - - gym>=0.21.0,<0.24.1 - conda_packages: [] - -post_build_cmds: - - pip uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/long_running_tests/app_config.yaml b/release/long_running_tests/app_config.yaml deleted file mode 100755 index 6648c11be4ee..000000000000 --- a/release/long_running_tests/app_config.yaml +++ /dev/null @@ -1,29 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: { "RLLIB_TEST_NO_JAX_IMPORT": "1" } - -debian_packages: - - - curl - - unzip - -python: - pip_packages: - # These dependencies should be handled by rllib-requirements.txt and removed here - - gym>=0.21.0,<0.24.1 - - ale-py==0.7.5 - - pytest - - tensorflow - # AutoROM downloads ROMs via torrent when they are built. The torrent is unreliable, so we built it for py3 and - # use that instead. This wheel was tested for python 3.7, 3.8, and 3.9. - - https://ray-ci-deps-wheels.s3.us-west-2.amazonaws.com/AutoROM.accept_rom_license-0.5.4-py3-none-any.whl - conda_packages: [] - -post_build_cmds: - - 'rm -r wrk || true && git clone https://github.com/wg/wrk.git /tmp/wrk && cd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin' - - pip3 install pytest || true - - pip3 install -U ray[all] - - pip3 install ray[all] - # TODO (Alex): Ideally we would install all the dependencies from the new - # version too, but pip won't be able to find the new version of ray-cpp. - - pip3 uninstall ray -y && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/ml_user_tests/horovod/app_config.yaml b/release/ml_user_tests/horovod/app_config.yaml deleted file mode 100644 index e7cafb38a8b1..000000000000 --- a/release/ml_user_tests/horovod/app_config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {"HOROVOD_GLOO_TIMEOUT_SECONDS": "120"} -debian_packages: - - curl - -python: - pip_packages: - - pytest - - awscli - conda_packages: [] - -post_build_cmds: - - pip3 uninstall ray -y || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install 'ray[tune]' - - pip3 install torch torchvision - - HOROVOD_WITH_GLOO=1 HOROVOD_WITHOUT_MPI=1 HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITHOUT_MXNET=1 HOROVOD_WITH_PYTORCH=1 pip3 install -U horovod - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/ml_user_tests/train/app_config.yaml b/release/ml_user_tests/train/app_config.yaml deleted file mode 100644 index 2ba2158071aa..000000000000 --- a/release/ml_user_tests/train/app_config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: - TRAIN_PLACEMENT_GROUP_TIMEOUT_S: "2000" - -debian_packages: - - curl - -python: - pip_packages: - - tblib - conda_packages: [ ] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/chaos_test/app_config.yaml b/release/nightly_tests/chaos_test/app_config.yaml deleted file mode 100644 index cb77f0230e8c..000000000000 --- a/release/nightly_tests/chaos_test/app_config.yaml +++ /dev/null @@ -1,12 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: [] - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/dask_on_ray/dask_on_ray_app_config.yaml b/release/nightly_tests/dask_on_ray/dask_on_ray_app_config.yaml deleted file mode 100644 index 9395415364d0..000000000000 --- a/release/nightly_tests/dask_on_ray/dask_on_ray_app_config.yaml +++ /dev/null @@ -1,20 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -# We use retriable_lifo as the workload can crash due to multiple tasks from different -# callers running on the same node, we also observed raylet memory leak that would -# trigger the group-by-policy to fail the workload. -# https://github.com/ray-project/ray/issues/32195 -env_vars: {"RAY_worker_killing_policy": "retriable_lifo"} -debian_packages: [] - -python: - pip_packages: ["dask[complete]", tqdm, scipy, xarray, zarr, pyarrow, pytest] - conda_packages: [] - -post_build_cmds: - # - pip install fastparquet - - pip3 install boto3 s3fs - - pip3 install -U s3fs - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - echo {{env["DATESTAMP"]}} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/dask_on_ray/large_scale_dask_on_ray_app_config.yaml b/release/nightly_tests/dask_on_ray/large_scale_dask_on_ray_app_config.yaml deleted file mode 100644 index 32412c44fb8e..000000000000 --- a/release/nightly_tests/dask_on_ray/large_scale_dask_on_ray_app_config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] - -python: - pip_packages: ["dask[complete]", tqdm, scipy, xarray, zarr, pyarrow, pytest] - conda_packages: [] - -post_build_cmds: - # - pip install fastparquet - - pip3 install boto3 s3fs - - pip3 install -U pytest - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - echo {{env["DATESTAMP"]}} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/dataset/app_config.yaml b/release/nightly_tests/dataset/app_config.yaml deleted file mode 100644 index c6043b52eb55..000000000000 --- a/release/nightly_tests/dataset/app_config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} - -python: - pip_packages: - - boto3 - - tqdm - - mosaicml-streaming - conda_packages: [] - -post_build_cmds: - - pip uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - # TODO (Alex): We need to do this because the ray-ml image pins - # tensorflow=2.6, which requires numpy~=1.19.2. This is ok because the test - # doesn't actually use tensorflow, but in the long term, but we should - # consider upgrading to tensorflow 2.7 as a long term solution. - - pip install -U numpy>=1.20 - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/dataset/shuffle_app_config.yaml b/release/nightly_tests/dataset/shuffle_app_config.yaml deleted file mode 100644 index df9be58d377a..000000000000 --- a/release/nightly_tests/dataset/shuffle_app_config.yaml +++ /dev/null @@ -1,11 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} - -python: - pip_packages: - - boto3 - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/decision_tree/decision_tree_app_config.yaml b/release/nightly_tests/decision_tree/decision_tree_app_config.yaml deleted file mode 100644 index a420ce8a6a6f..000000000000 --- a/release/nightly_tests/decision_tree/decision_tree_app_config.yaml +++ /dev/null @@ -1,13 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] - -python: - pip_packages: - - scikit-learn - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - echo {{env["DATESTAMP"]}} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/placement_group_tests/app_config.yaml b/release/nightly_tests/placement_group_tests/app_config.yaml deleted file mode 100644 index 87541c7261f9..000000000000 --- a/release/nightly_tests/placement_group_tests/app_config.yaml +++ /dev/null @@ -1,11 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/shuffle/100tb_shuffle_app_config.yaml b/release/nightly_tests/shuffle/100tb_shuffle_app_config.yaml deleted file mode 100644 index 6779302575a5..000000000000 --- a/release/nightly_tests/shuffle/100tb_shuffle_app_config.yaml +++ /dev/null @@ -1,18 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] -env_vars: {"RAY_object_spilling_config": "{\"type\":\"filesystem\",\"params\":{\"directory_path\":[\"/tmp/data0\",\"/tmp/data1\"]}}"} - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - - echo "yes N | sudo mkfs -t ext4 /dev/nvme1n1 || true" >> ~/.bashrc - - echo "mkdir -p /tmp/data0" >> ~/.bashrc - - echo "mkdir -p /tmp/data1" >> ~/.bashrc - - echo "sudo chmod 0777 /tmp/data0" >> ~/.bashrc - - echo "sudo chmod 0777 /tmp/data1" >> ~/.bashrc - - echo "sudo mount /dev/nvme1n1 /tmp/data1 || true" >> ~/.bashrc diff --git a/release/nightly_tests/shuffle/shuffle_app_config.yaml b/release/nightly_tests/shuffle/shuffle_app_config.yaml deleted file mode 100644 index ab31773e266c..000000000000 --- a/release/nightly_tests/shuffle/shuffle_app_config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] - -# We use retriable_lifo as the workload can crash due to multiple tasks from different -# callers running on the same node, we also observed raylet memory leak that would -# trigger the group-by-policy to fail the workload. -# https://github.com/ray-project/ray/issues/32195 -env_vars: {"RAY_worker_killing_policy": "retriable_lifo"} - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/shuffle/shuffle_with_state_api_app_config.yaml b/release/nightly_tests/shuffle/shuffle_with_state_api_app_config.yaml deleted file mode 100644 index e0883427bef0..000000000000 --- a/release/nightly_tests/shuffle/shuffle_with_state_api_app_config.yaml +++ /dev/null @@ -1,12 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] -env_vars: {"RAY_MAX_LIMIT_FROM_API_SERVER": "1000000000", "RAY_MAX_LIMIT_FROM_DATA_SOURCE":"1000000000"} - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install -U ray[default] - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/nightly_tests/stress_tests/stress_tests_single_node_oom_app_config.yaml b/release/nightly_tests/stress_tests/stress_tests_single_node_oom_app_config.yaml deleted file mode 100644 index 3d1842023f7a..000000000000 --- a/release/nightly_tests/stress_tests/stress_tests_single_node_oom_app_config.yaml +++ /dev/null @@ -1,11 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -debian_packages: [] - -python: - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install ray[default] - - echo {{env["DATESTAMP"]}} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/rllib_tests/app_config.yaml b/release/rllib_tests/app_config.yaml deleted file mode 100755 index 3dd66e43dd04..000000000000 --- a/release/rllib_tests/app_config.yaml +++ /dev/null @@ -1,45 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {"LD_LIBRARY_PATH": "$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin", "RLLIB_TEST_NO_JAX_IMPORT": "1"} -debian_packages: - - unzip - - zip - - # Needed to run MuJoCo with gymnasium. - - libosmesa6-dev - - libgl1-mesa-glx - - libglfw3 - - patchelf - # End: MuJoCo. - -python: - pip_packages: - # AutoROM downloads ROMs via torrent when they are built. The torrent is unreliable, - # so we built it for py3 and use that instead. This wheel was tested for python 3.7, 3.8, - # and 3.9. - - https://ray-ci-deps-wheels.s3.us-west-2.amazonaws.com/AutoROM.accept_rom_license-0.5.4-py3-none-any.whl - - pytest - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - # Clone the rl-experiments repo for offline-RL files. - - git clone https://github.com/ray-project/rl-experiments.git - - unzip rl-experiments/halfcheetah-sac/2022-12-17/halfcheetah_1500_mean_reward_sac.zip -d ~/. - - # Uninstall minigrid (it imports matplotlib, which sometimes causes a filelock error). - # We don't need minigrid for the release tests. - - pip3 uninstall -y minigrid - - # Install torch. - - pip3 install torch==2.0.0+cu118 torchvision==0.15.1+cu118 --index-url https://download.pytorch.org/whl/cu118 - - # TODO(sven): remove once nightly image gets gymnasium and the other new dependencies. - - wget https://mujoco.org/download/mujoco210-linux-x86_64.tar.gz - - mkdir ~/.mujoco - - mv mujoco210-linux-x86_64.tar.gz ~/.mujoco/. - - cd ~/.mujoco - - tar -xf ~/.mujoco/mujoco210-linux-x86_64.tar.gz - - # not strictly necessary, but makes debugging easier - - git clone https://github.com/ray-project/ray.git diff --git a/release/rllib_tests/debug_app_config.yaml b/release/rllib_tests/debug_app_config.yaml deleted file mode 100755 index 1659536f2bc5..000000000000 --- a/release/rllib_tests/debug_app_config.yaml +++ /dev/null @@ -1,49 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {"LD_LIBRARY_PATH": "$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin", "RLLIB_TEST_NO_JAX_IMPORT": "1"} -debian_packages: - - unzip - - zip - - # Needed to run MuJoCo with gymnasium. - - libosmesa6-dev - - libgl1-mesa-glx - - libglfw3 - - patchelf - # End: MuJoCo. - -python: - pip_packages: - ## These dependencies should be handled by rllib-requirements.txt - ## and removed here - - gymnasium==0.28.1 - - imageio==2.31.1 - - ale-py==0.8.1 - - mujoco==2.3.6 - # AutoROM downloads ROMs via torrent when they are built. The torrent is unreliable, - # so we built it for py3 and use that instead. This wheel was tested for python 3.7, 3.8, - # and 3.9. - - https://ray-ci-deps-wheels.s3.us-west-2.amazonaws.com/AutoROM.accept_rom_license-0.5.4-py3-none-any.whl - - pytest - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - # TODO(https://github.com/ray-project/ray/issues/34591) - - pip3 install --force-reinstall -U https://s3-us-west-2.amazonaws.com/ray-wheels/env["RAY_TEST_BRANCH"]/env["RAY_COMMIT_OF_WHEEL"]/ray-3.0.0.dev0%2Bdebug-cp37-cp37m-manylinux2014_x86_64.whl - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - # Clone the rl-experiments repo for offline-RL files. - - git clone https://github.com/ray-project/rl-experiments.git - - unzip rl-experiments/halfcheetah-sac/2022-12-17/halfcheetah_1500_mean_reward_sac.zip -d ~/. - # Use torch+CUDA10.2 for our release tests. CUDA11.x has known performance issues in combination with torch+GPU+CNNs - # TODO(sven): remove once nightly image gets upgraded. - - pip3 install torch==1.12.1+cu102 torchvision==0.13.1+cu102 --extra-index-url https://download.pytorch.org/whl/cu102 - - # TODO(sven): remove once nightly image gets gymnasium and the other new dependencies. - - wget https://mujoco.org/download/mujoco210-linux-x86_64.tar.gz - - mkdir ~/.mujoco - - mv mujoco210-linux-x86_64.tar.gz ~/.mujoco/. - - cd ~/.mujoco - - tar -xf ~/.mujoco/mujoco210-linux-x86_64.tar.gz - - # not strictly necessary, but makes debugging easier - - git clone https://github.com/ray-project/ray.git diff --git a/release/runtime_env_tests/app_config.yaml b/release/runtime_env_tests/app_config.yaml deleted file mode 100644 index 00dfb0a2acef..000000000000 --- a/release/runtime_env_tests/app_config.yaml +++ /dev/null @@ -1,11 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: [] - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/serve_tests/app_config.yaml b/release/serve_tests/app_config.yaml deleted file mode 100644 index 330a80a19207..000000000000 --- a/release/serve_tests/app_config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: - - curl - - unzip - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - 'rm -r wrk || true && git clone https://github.com/wg/wrk.git /tmp/wrk && cd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin' - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - - pip install pytest diff --git a/release/serve_tests/gpu_app_config.yaml b/release/serve_tests/gpu_app_config.yaml deleted file mode 100644 index 22cdfa20aaad..000000000000 --- a/release/serve_tests/gpu_app_config.yaml +++ /dev/null @@ -1,16 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {} -debian_packages: - - curl - - unzip - -python: - pip_packages: - - "validators" - conda_packages: [] - -post_build_cmds: - - 'rm -r wrk || true && git clone https://github.com/wg/wrk.git /tmp/wrk && cd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin' - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} - - pip install pytest diff --git a/release/train_tests/horovod/app_config.yaml b/release/train_tests/horovod/app_config.yaml deleted file mode 100644 index 8623758c809d..000000000000 --- a/release/train_tests/horovod/app_config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] }} -env_vars: {} -debian_packages: - - curl - -python: - pip_packages: - - pytest - - awscli - conda_packages: [] - -post_build_cmds: - - pip3 uninstall ray -y || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - pip3 install 'ray[tune]' - - pip3 install torch torchvision - - HOROVOD_WITH_GLOO=1 HOROVOD_WITHOUT_MPI=1 HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITHOUT_MXNET=1 HOROVOD_WITH_PYTORCH=1 pip3 install -U horovod - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} diff --git a/release/tune_tests/fault_tolerance_tests/app_config.yaml b/release/tune_tests/fault_tolerance_tests/app_config.yaml deleted file mode 100755 index e697fe5d1d94..000000000000 --- a/release/tune_tests/fault_tolerance_tests/app_config.yaml +++ /dev/null @@ -1,12 +0,0 @@ -base_image: {{ env["RAY_IMAGE_NIGHTLY_CPU"] }} -env_vars: {} -debian_packages: - - curl - -python: - pip_packages: [] - conda_packages: [] - -post_build_cmds: - - pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }} - - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }} From ba4baf1843ba5ff4e80b3d06b344e058d9f4b1a3 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 8 Jul 2025 18:51:58 +0530 Subject: [PATCH 0082/1566] migrate signature from _private to _common (#54357) Fixes: https://github.com/ray-project/ray/issues/53478 - migrate ray._private.signature from `_private` to `_common` Signed-off-by: Douglas Strodtman --- python/ray/{_private => _common}/signature.py | 42 +- python/ray/_common/tests/BUILD | 1 + python/ray/_common/tests/test_signature.py | 514 ++++++++++++++++++ python/ray/_raylet.pyx | 2 +- python/ray/actor.py | 2 +- python/ray/remote_function.py | 6 +- python/ray/serve/batching.py | 2 +- python/ray/util/client/common.py | 2 +- 8 files changed, 532 insertions(+), 39 deletions(-) rename python/ray/{_private => _common}/signature.py (84%) create mode 100644 python/ray/_common/tests/test_signature.py diff --git a/python/ray/_private/signature.py b/python/ray/_common/signature.py similarity index 84% rename from python/ray/_private/signature.py rename to python/ray/_common/signature.py index 00f4e90c29ff..190d18c13906 100644 --- a/python/ray/_private/signature.py +++ b/python/ray/_common/signature.py @@ -1,7 +1,7 @@ import inspect import logging from inspect import Parameter -from typing import List +from typing import Any, Dict, List, Tuple from ray._private.inspect_util import is_cython @@ -15,7 +15,7 @@ DUMMY_TYPE = b"__RAY_DUMMY__" -def get_signature(func): +def get_signature(func: Any) -> inspect.Signature: """Get signature parameters. Support Cython functions by grabbing relevant attributes from the Cython @@ -55,7 +55,7 @@ def func(): return inspect.signature(func) -def extract_signature(func, ignore_first=False): +def extract_signature(func: Any, ignore_first: bool = False) -> List[Parameter]: """Extract the function signature from the function. Args: @@ -79,7 +79,9 @@ def extract_signature(func, ignore_first=False): return signature_parameters -def validate_args(signature_parameters: List[Parameter], args, kwargs): +def validate_args( + signature_parameters: List[Parameter], args: Tuple[Any, ...], kwargs: Dict[str, Any] +) -> None: """Validates the arguments against the signature. Args: @@ -99,7 +101,9 @@ def validate_args(signature_parameters: List[Parameter], args, kwargs): raise TypeError(str(exc)) from None -def flatten_args(signature_parameters: List[Parameter], args, kwargs): +def flatten_args( + signature_parameters: List[Parameter], args: Tuple[Any, ...], kwargs: Dict[str, Any] +) -> List[Any]: """Validates the arguments against the signature and flattens them. The flat list representation is a serializable format for arguments. @@ -133,7 +137,7 @@ def flatten_args(signature_parameters: List[Parameter], args, kwargs): return list_args -def recover_args(flattened_args): +def recover_args(flattened_args: List[Any]) -> Tuple[List[Any], Dict[str, Any]]: """Recreates `args` and `kwargs` from the flattened arg list. Args: @@ -157,29 +161,3 @@ def recover_args(flattened_args): kwargs[name] = arg return args, kwargs - - -def _convert_from_parameter_kind(kind): - if kind == Parameter.POSITIONAL_ONLY: - return 0 - if kind == Parameter.POSITIONAL_OR_KEYWORD: - return 1 - if kind == Parameter.VAR_POSITIONAL: - return 2 - if kind == Parameter.KEYWORD_ONLY: - return 3 - if kind == Parameter.VAR_KEYWORD: - return 4 - - -def _convert_to_parameter_kind(value): - if value == 0: - return Parameter.POSITIONAL_ONLY - if value == 1: - return Parameter.POSITIONAL_OR_KEYWORD - if value == 2: - return Parameter.VAR_POSITIONAL - if value == 3: - return Parameter.KEYWORD_ONLY - if value == 4: - return Parameter.VAR_KEYWORD diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD index 54ff303b524a..7f90ef809e85 100644 --- a/python/ray/_common/tests/BUILD +++ b/python/ray/_common/tests/BUILD @@ -5,6 +5,7 @@ py_test_module_list( size = "small", files = [ "test_signal_semaphore_utils.py", + "test_signature.py", "test_utils.py", "test_wait_for_condition.py", ], diff --git a/python/ray/_common/tests/test_signature.py b/python/ray/_common/tests/test_signature.py new file mode 100644 index 000000000000..8e0173fc38e6 --- /dev/null +++ b/python/ray/_common/tests/test_signature.py @@ -0,0 +1,514 @@ +"""Tests for Ray signature utility functions. + +This module contains pytest-based tests for signature-related functions in +ray._common.signature. These functions are used for extracting, validating, +and flattening function signatures for serialization. +""" + +import inspect +import pytest +import sys +from typing import Any, Optional +from unittest.mock import Mock, patch + +from ray._common.signature import ( + get_signature, + extract_signature, + validate_args, + flatten_args, + recover_args, + DUMMY_TYPE, +) + + +class TestGetSignature: + """Tests for the get_signature utility function.""" + + def test_regular_function(self): + """Test getting signature from a regular Python function.""" + + def test_func(a, b=10, *args, **kwargs): + return a + b + + sig = get_signature(test_func) + assert sig is not None + assert len(sig.parameters) == 4 + assert "a" in sig.parameters + assert "b" in sig.parameters + assert sig.parameters["b"].default == 10 + + def test_function_with_annotations(self): + """Test getting signature from a function with type annotations.""" + + def test_func(a: int, b: str = "default") -> str: + return f"{a}{b}" + + sig = get_signature(test_func) + assert sig is not None + assert len(sig.parameters) == 2 + assert sig.parameters["a"].annotation is int + assert sig.parameters["b"].annotation is str + assert sig.parameters["b"].default == "default" + + def test_function_no_parameters(self): + """Test getting signature from a function with no parameters.""" + + def test_func(): + return "hello" + + sig = get_signature(test_func) + assert sig is not None + assert len(sig.parameters) == 0 + + def test_lambda_function(self): + """Test getting signature from a lambda function.""" + sig = get_signature(lambda x, y=5: x + y) + assert sig is not None + assert len(sig.parameters) == 2 # x, y + assert sig.parameters["y"].default == 5 + + @patch("ray._common.signature.is_cython") + def test_cython_function_with_attributes(self, mock_is_cython): + """Test getting signature from a Cython function with required attributes.""" + mock_is_cython.return_value = True + + def original_func(x=10): + return x + + mock_func = Mock() + mock_func.__code__ = original_func.__code__ + mock_func.__annotations__ = original_func.__annotations__ + mock_func.__defaults__ = original_func.__defaults__ + mock_func.__kwdefaults__ = original_func.__kwdefaults__ + + sig = get_signature(mock_func) + assert sig is not None + assert len(sig.parameters) == 1 + assert "x" in sig.parameters + + @patch("ray._common.signature.is_cython") + def test_cython_function_missing_attributes(self, mock_is_cython): + """Test error handling for Cython function missing required attributes.""" + mock_is_cython.return_value = True + + # Create a mock Cython function missing required attributes + mock_func = Mock() + del mock_func.__code__ # Remove required attribute + + with pytest.raises(TypeError, match="is not a Python function we can process"): + get_signature(mock_func) + + def test_method_signature(self): + """Test getting signature from a class method.""" + + class TestClass: + def test_method(self, a, b=20): + return a + b + + sig = get_signature(TestClass.test_method) + assert sig is not None + assert len(sig.parameters) == 3 # self, a, b + assert "self" in sig.parameters + assert "a" in sig.parameters + assert "b" in sig.parameters + assert sig.parameters["b"].default == 20 + + +class TestExtractSignature: + """Tests for the extract_signature utility function.""" + + def test_function_without_ignore_first(self): + """Test extracting signature from function without ignoring first parameter.""" + + def test_func(a, b=10, c=None): + return a + b + + params = extract_signature(test_func, ignore_first=False) + assert len(params) == 3 + assert params[0].name == "a" + assert params[1].name == "b" + assert params[1].default == 10 + assert params[2].name == "c" + assert params[2].default is None + + def test_method_with_ignore_first(self): + """Test extracting signature from method ignoring 'self' parameter.""" + + class TestClass: + def test_method(self, a, b=20): + return a + b + + params = extract_signature(TestClass.test_method, ignore_first=True) + assert len(params) == 2 + assert params[0].name == "a" + assert params[1].name == "b" + assert params[1].default == 20 + + def test_function_with_ignore_first(self): + """Test extracting signature from regular function with ignore_first=True.""" + + def test_func(x, y, z=30): + return x + y + z + + params = extract_signature(test_func, ignore_first=True) + assert len(params) == 2 + assert params[0].name == "y" + assert params[1].name == "z" + assert params[1].default == 30 + + def test_empty_parameters_with_ignore_first(self): + """Test error handling when method has no parameters but ignore_first=True.""" + + def test_func(): + return "hello" + + with pytest.raises(ValueError, match="Methods must take a 'self' argument"): + extract_signature(test_func, ignore_first=True) + + def test_single_parameter_with_ignore_first(self): + """Test extracting signature from method with only 'self' parameter.""" + + class TestClass: + def test_method(self): + return "hello" + + params = extract_signature(TestClass.test_method, ignore_first=True) + assert len(params) == 0 + + def test_varargs_and_kwargs(self): + """Test extracting signature with *args and **kwargs.""" + + def test_func(a, b=10, *args, **kwargs): + return a + b + + params = extract_signature(test_func, ignore_first=False) + assert len(params) == 4 + assert params[0].name == "a" + assert params[1].name == "b" + assert params[2].name == "args" + assert params[2].kind == inspect.Parameter.VAR_POSITIONAL + assert params[3].name == "kwargs" + assert params[3].kind == inspect.Parameter.VAR_KEYWORD + + +class TestValidateArgs: + """Tests for the validate_args utility function.""" + + def test_valid_positional_args(self): + """Test validation with valid positional arguments.""" + + def test_func(a, b, c=30): + return a + b + c + + params = extract_signature(test_func) + # Should not raise an exception + validate_args(params, (1, 2), {}) + validate_args(params, (1, 2, 3), {}) + + def test_valid_keyword_args(self): + """Test validation with valid keyword arguments.""" + + def test_func(a, b=20, c=30): + return a + b + c + + params = extract_signature(test_func) + # Should not raise an exception + validate_args(params, (1,), {"b": 2}) + validate_args(params, (1,), {"b": 2, "c": 3}) + validate_args(params, (), {"a": 1, "b": 2, "c": 3}) + + def test_valid_mixed_args(self): + """Test validation with mixed positional and keyword arguments.""" + + def test_func(a, b, c=30): + return a + b + c + + params = extract_signature(test_func) + # Should not raise an exception + validate_args(params, (1,), {"b": 2}) + validate_args(params, (1, 2), {"c": 3}) + + def test_too_many_positional_args(self): + """Test error handling for too many positional arguments.""" + + def test_func(a, b): + return a + b + + params = extract_signature(test_func) + with pytest.raises(TypeError): + validate_args(params, (1, 2, 3), {}) + + def test_missing_required_args(self): + """Test error handling for missing required arguments.""" + + def test_func(a, b, c=30): + return a + b + c + + params = extract_signature(test_func) + with pytest.raises(TypeError): + validate_args(params, (1,), {}) # Missing 'b' + + def test_unexpected_keyword_args(self): + """Test error handling for unexpected keyword arguments.""" + + def test_func(a, b): + return a + b + + params = extract_signature(test_func) + with pytest.raises(TypeError): + validate_args(params, (1, 2), {"c": 3}) + + def test_duplicate_args(self): + """Test error handling for duplicate arguments (positional and keyword).""" + + def test_func(a, b, c=30): + return a + b + c + + params = extract_signature(test_func) + with pytest.raises(TypeError): + validate_args(params, (1, 2), {"b": 3}) # 'b' specified twice + + def test_varargs_validation(self): + """Test validation with *args and **kwargs.""" + + def test_func(a, b=20, *args, **kwargs): + return a + b + + params = extract_signature(test_func) + # Should not raise an exception + validate_args(params, (1, 2, 3, 4), {"extra": 5}) + validate_args(params, (1,), {"b": 2, "extra": 3}) + + +class TestFlattenArgs: + """Tests for the flatten_args utility function.""" + + def test_only_positional_args(self): + """Test flattening with only positional arguments.""" + + def test_func(a, b, c): + return a + b + c + + params = extract_signature(test_func) + flattened = flatten_args(params, (1, 2, 3), {}) + + expected = [DUMMY_TYPE, 1, DUMMY_TYPE, 2, DUMMY_TYPE, 3] + assert flattened == expected + + def test_only_keyword_args(self): + """Test flattening with only keyword arguments.""" + + def test_func(a=1, b=2, c=3): + return a + b + c + + params = extract_signature(test_func) + flattened = flatten_args(params, (), {"a": 10, "b": 20, "c": 30}) + + expected = ["a", 10, "b", 20, "c", 30] + assert flattened == expected + + def test_mixed_args(self): + """Test flattening with mixed positional and keyword arguments.""" + + def test_func(a, b, c=30): + return a + b + c + + params = extract_signature(test_func) + flattened = flatten_args(params, (1, 2), {"c": 3}) + + expected = [DUMMY_TYPE, 1, DUMMY_TYPE, 2, "c", 3] + assert flattened == expected + + def test_empty_args(self): + """Test flattening with no arguments.""" + + def test_func(): + return "hello" + + params = extract_signature(test_func) + flattened = flatten_args(params, (), {}) + + assert flattened == [] + + def test_complex_types(self): + """Test flattening with complex argument types.""" + + def test_func(a, b, c=None): + return a + b + + params = extract_signature(test_func) + complex_args = ([1, 2, 3], {"key": "value"}) + complex_kwargs = {"c": {"nested": "dict"}} + + flattened = flatten_args(params, complex_args, complex_kwargs) + + expected = [ + DUMMY_TYPE, + [1, 2, 3], + DUMMY_TYPE, + {"key": "value"}, + "c", + {"nested": "dict"}, + ] + assert flattened == expected + + def test_invalid_args_raises_error(self): + """Test that invalid arguments raise TypeError during flattening.""" + + def test_func(a, b): + return a + b + + params = extract_signature(test_func) + with pytest.raises(TypeError): + flatten_args(params, (1, 2, 3), {}) # Too many args + + +class TestRecoverArgs: + """Tests for the recover_args utility function.""" + + def test_only_positional_args(self): + """Test recovering only positional arguments.""" + flattened = [DUMMY_TYPE, 1, DUMMY_TYPE, 2, DUMMY_TYPE, 3] + args, kwargs = recover_args(flattened) + + assert args == [1, 2, 3] + assert kwargs == {} + + def test_only_keyword_args(self): + """Test recovering only keyword arguments.""" + flattened = ["a", 10, "b", 20, "c", 30] + args, kwargs = recover_args(flattened) + + assert args == [] + assert kwargs == {"a": 10, "b": 20, "c": 30} + + def test_mixed_args(self): + """Test recovering mixed positional and keyword arguments.""" + flattened = [DUMMY_TYPE, 1, DUMMY_TYPE, 2, "c", 3] + args, kwargs = recover_args(flattened) + + assert args == [1, 2] + assert kwargs == {"c": 3} + + def test_empty_flattened(self): + """Test recovering from empty flattened list.""" + flattened = [] + args, kwargs = recover_args(flattened) + + assert args == [] + assert kwargs == {} + + def test_complex_types(self): + """Test recovering complex argument types.""" + flattened = [ + DUMMY_TYPE, + [1, 2, 3], + DUMMY_TYPE, + {"key": "value"}, + "c", + {"nested": "dict"}, + ] + args, kwargs = recover_args(flattened) + + assert args == [[1, 2, 3], {"key": "value"}] + assert kwargs == {"c": {"nested": "dict"}} + + def test_invalid_odd_length(self): + """Test error handling for odd-length flattened list.""" + flattened = [DUMMY_TYPE, 1, "key"] # Odd length + with pytest.raises( + AssertionError, match="Flattened arguments need to be even-numbered" + ): + recover_args(flattened) + + def test_preserve_order(self): + """Test that argument order is preserved during flatten/recover.""" + + def test_func(a, b, c, d, e): + return a + b + c + d + e + + params = extract_signature(test_func) + original_args = (1, 2, 3) + original_kwargs = {"d": 4, "e": 5} + + flattened = flatten_args(params, original_args, original_kwargs) + recovered_args, recovered_kwargs = recover_args(flattened) + + assert recovered_args == [1, 2, 3] + assert recovered_kwargs == {"d": 4, "e": 5} + + +class TestIntegration: + """Integration tests for signature utilities working together.""" + + def test_complete_workflow(self): + """Test complete workflow from function to flatten/recover.""" + + def test_func(x: int, y: str = "default", z: Optional[Any] = None): + return f"{x}_{y}_{z}" + + # Extract signature + params = extract_signature(test_func) + assert len(params) == 3 + + # Validate arguments + args = (42, "hello") + kwargs = {"z": [1, 2, 3]} + validate_args(params, args, kwargs) + + # Flatten arguments + flattened = flatten_args(params, args, kwargs) + expected = [DUMMY_TYPE, 42, DUMMY_TYPE, "hello", "z", [1, 2, 3]] + assert flattened == expected + + # Recover arguments + recovered_args, recovered_kwargs = recover_args(flattened) + assert recovered_args == list(args) + assert recovered_kwargs == kwargs + + def test_method_workflow_with_ignore_first(self): + """Test complete workflow for class methods with ignore_first=True.""" + + class TestClass: + def test_method(self, a: int, b: str = "test"): + return f"{a}_{b}" + + # Extract signature ignoring 'self' + params = extract_signature(TestClass.test_method, ignore_first=True) + assert len(params) == 2 + assert params[0].name == "a" + assert params[1].name == "b" + + # Validate and flatten + args = (100,) + kwargs = {"b": "custom"} + validate_args(params, args, kwargs) + flattened = flatten_args(params, args, kwargs) + + # Recover and verify + recovered_args, recovered_kwargs = recover_args(flattened) + assert recovered_args == list(args) + assert recovered_kwargs == kwargs + + def test_varargs_kwargs_workflow(self): + """Test workflow with functions that have *args and **kwargs.""" + + def test_func(a, b=10, *args, **kwargs): + return a + b + sum(args) + sum(kwargs.values()) + + params = extract_signature(test_func) + + # Test with extra positional and keyword arguments + args = (1, 2, 3, 4, 5) + kwargs = {"extra1": 10, "extra2": 20} + + validate_args(params, args, kwargs) + flattened = flatten_args(params, args, kwargs) + recovered_args, recovered_kwargs = recover_args(flattened) + + assert recovered_args == list(args) + assert recovered_kwargs == kwargs + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 3dac73d9b192..f83385320ec1 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -1903,7 +1903,7 @@ cdef void execute_task( for arg in args: raise_if_dependency_failed(arg) - args, kwargs = ray._private.signature.recover_args(args) + args, kwargs = ray._common.signature.recover_args(args) if (task_type == TASK_TYPE_ACTOR_CREATION_TASK): actor_id = core_worker.get_actor_id() diff --git a/python/ray/actor.py b/python/ray/actor.py index fb0541539812..0bffad17e5f8 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -23,7 +23,7 @@ from typing_extensions import Concatenate import ray._private.ray_constants as ray_constants -import ray._private.signature as signature +import ray._common.signature as signature import ray._raylet from ray import ActorClassID, Language, cross_language, ObjectRef from ray._private import ray_option_utils diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index db19b04a5da7..bdc5c3e136ea 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -6,7 +6,7 @@ from threading import Lock from typing import Optional -import ray._private.signature +import ray._common.signature from ray import Language, cross_language from ray._private import ray_option_utils from ray._private.auto_init_hook import wrap_auto_init @@ -335,7 +335,7 @@ def _remote( with self._inject_lock: if self._function_signature is None: self._function = _inject_tracing_into_function(self._function) - self._function_signature = ray._private.signature.extract_signature( + self._function_signature = ray._common.signature.extract_signature( self._function ) @@ -473,7 +473,7 @@ def invocation(args, kwargs): elif not args and not kwargs and not self._function_signature: list_args = [] else: - list_args = ray._private.signature.flatten_args( + list_args = ray._common.signature.flatten_args( self._function_signature, args, kwargs ) diff --git a/python/ray/serve/batching.py b/python/ray/serve/batching.py index 7979b1e48271..8be63765c43e 100644 --- a/python/ray/serve/batching.py +++ b/python/ray/serve/batching.py @@ -25,8 +25,8 @@ ) from ray import serve +from ray._common.signature import extract_signature, flatten_args, recover_args from ray._common.utils import get_or_create_event_loop -from ray._private.signature import extract_signature, flatten_args, recover_args from ray.serve._private.constants import SERVE_LOGGER_NAME from ray.serve._private.utils import extract_self_if_method_call from ray.serve.exceptions import RayServeException diff --git a/python/ray/util/client/common.py b/python/ray/util/client/common.py index c8ae173a0605..7d027d2b0386 100644 --- a/python/ray/util/client/common.py +++ b/python/ray/util/client/common.py @@ -21,7 +21,7 @@ is_function_or_method, is_static_method, ) -from ray._private.signature import extract_signature, get_signature +from ray._common.signature import extract_signature, get_signature from ray._private.utils import check_oversized_function from ray.util.client import ray from ray.util.client.options import validate_options From 553acffb0fb6e3cd37bda8853417a69bc68f20e1 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 8 Jul 2025 09:25:12 -0400 Subject: [PATCH 0083/1566] [core] Delete skip_flaky_core_test_premerge (#54382) `skip_flaky_core_test_premerge` was always skipping all the tests, not just on premerge Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 17 ----------------- python/ray/tests/test_client_builder.py | 3 --- python/ray/tests/test_reference_counting.py | 2 -- 3 files changed, 22 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index 2021b091609c..7e8c50fd4a2a 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -1976,23 +1976,6 @@ def reset_autoscaler_v2_enabled_cache(): u.cached_is_autoscaler_v2 = None -def skip_flaky_core_test_premerge(reason: str): - """ - Decorator to skip a test if it is flaky (e.g. in premerge) - - Default we will skip the flaky test if not specified otherwise in - CI with CI_SKIP_FLAKY_TEST="0" - """ - import pytest - - def wrapper(func): - return pytest.mark.skipif( - os.environ.get("CI_SKIP_FLAKY_TEST", "1") == "1", reason=reason - )(func) - - return wrapper - - def _get_library_usages() -> Set[str]: return set( ray_usage_lib.get_library_usages_to_report( diff --git a/python/ray/tests/test_client_builder.py b/python/ray/tests/test_client_builder.py index b39e1a88fb08..a079da22f9ec 100644 --- a/python/ray/tests/test_client_builder.py +++ b/python/ray/tests/test_client_builder.py @@ -13,7 +13,6 @@ from ray._private.test_utils import ( run_string_as_driver, run_string_as_driver_nonblocking, - skip_flaky_core_test_premerge, ) from ray.util.state import list_workers @@ -55,7 +54,6 @@ def test_client(address): assert builder.address == address.replace("ray://", "") -@skip_flaky_core_test_premerge("https://github.com/ray-project/ray/issues/38224") def test_namespace(ray_start_cluster): """ Most of the "checks" in this test case rely on the fact that @@ -342,7 +340,6 @@ def has_client_deprecation_warn(warning: Warning, expected_replacement: str) -> @pytest.mark.filterwarnings( "default:Starting a connection through `ray.client` will be deprecated" ) -@skip_flaky_core_test_premerge("https://github.com/ray-project/ray/issues/38224") def test_client_deprecation_warn(): """ Tests that calling ray.client directly raises a deprecation warning with diff --git a/python/ray/tests/test_reference_counting.py b/python/ray/tests/test_reference_counting.py index 69de8e9856bf..44f1f80cf56b 100644 --- a/python/ray/tests/test_reference_counting.py +++ b/python/ray/tests/test_reference_counting.py @@ -20,7 +20,6 @@ from ray._private.test_utils import ( kill_actor_and_wait_for_failure, put_object, - skip_flaky_core_test_premerge, ) logger = logging.getLogger(__name__) @@ -327,7 +326,6 @@ def recursive(ref, signal, max_depth, depth=0): @pytest.mark.parametrize( "use_ray_put,failure", [(False, False), (False, True), (True, False), (True, True)] ) -@skip_flaky_core_test_premerge("https://github.com/ray-project/ray/issues/41684") def test_actor_holding_serialized_reference( one_cpu_100MiB_shared, use_ray_put, failure ): From 4c7c1f7d80a58563ecc0b2c96143d93d89eb705f Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Tue, 8 Jul 2025 21:25:47 +0800 Subject: [PATCH 0084/1566] [Core] Use smart pointer in logging.cc (#54351) We shouldn't use raw pointer so I changed to smart pointer in loggin.cc. Also use raw string literals to replace escape quotes in the same file for better readability. Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/util/logging.cc | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/src/ray/util/logging.cc b/src/ray/util/logging.cc index 7578a8c7052d..0df1bafbbe56 100644 --- a/src/ray/util/logging.cc +++ b/src/ray/util/logging.cc @@ -57,7 +57,7 @@ namespace ray { // %L is loglevel, %P is process id, %t for thread id. constexpr char kLogFormatTextPattern[] = "[%Y-%m-%d %H:%M:%S,%e %L %P %t] %v"; constexpr char kLogFormatJsonPattern[] = - "{\"asctime\":\"%Y-%m-%d %H:%M:%S,%e\",\"levelname\":\"%L\"%v}"; + R"({"asctime":"%Y-%m-%d %H:%M:%S,%e","levelname":"%L"%v})"; RayLogLevel RayLog::severity_threshold_ = RayLogLevel::INFO; std::string RayLog::app_name_ = ""; // NOLINT @@ -75,10 +75,17 @@ std::ostream &operator<<(std::ostream &os, const StackTrace &stack_trace) { void *frames[MAX_NUM_FRAMES]; #ifndef _WIN32 + // A deleter can be used with std::unique_ptr to free memory without passing function + // pointer of free + struct FreeDeleter { + void operator()(void *ptr) const { free(ptr); } + }; + const int num_frames = backtrace(frames, MAX_NUM_FRAMES); - char **frame_symbols = backtrace_symbols(frames, num_frames); + std::unique_ptr frame_symbols( + backtrace_symbols(frames, num_frames)); for (int i = 0; i < num_frames; ++i) { - os << frame_symbols[i]; + os << frame_symbols.get()[i]; if (absl::Symbolize(frames[i], buf, sizeof(buf))) { os << " " << buf; @@ -86,7 +93,6 @@ std::ostream &operator<<(std::ostream &os, const StackTrace &stack_trace) { os << "\n"; } - free(frame_symbols); #else const int num_frames = absl::GetStackTrace(frames, MAX_NUM_FRAMES, 0); for (int i = 0; i < num_frames; ++i) { @@ -602,7 +608,7 @@ RayLog::~RayLog() { // NOTE(lingxuan.zlx): See more fmt by visiting https://github.com/fmtlib/fmt. if (log_format_json_) { logger->log(GetMappedSeverity(severity_), - /*fmt*/ ",\"{}\":\"{}\"{}", + /*fmt*/ R"(,"{}":"{}"{})", kLogKeyMessage, json_escape_string(msg_osstream_.str()), context_osstream_.str()); From 0733ac4af3be8fa99a7e590c39d69e438fa0dfcf Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 8 Jul 2025 09:28:34 -0400 Subject: [PATCH 0085/1566] [core] Inject reorder_wait_seconds for scheduling queue test (#54404) This scheduling queue unit test would take >30 seconds before because the default value of reorder_wait_seconds is 30. Now just injecting it in one level higher so can inject it into the test as 1 second. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../core_worker/test/scheduling_queue_test.cc | 16 +++---- .../transport/actor_scheduling_queue.cc | 6 ++- .../transport/actor_scheduling_queue.h | 6 +-- .../core_worker/transport/task_receiver.cc | 45 ++++++++++--------- 4 files changed, 38 insertions(+), 35 deletions(-) diff --git a/src/ray/core_worker/test/scheduling_queue_test.cc b/src/ray/core_worker/test/scheduling_queue_test.cc index 03813495a7fb..7718d0dd671b 100644 --- a/src/ray/core_worker/test/scheduling_queue_test.cc +++ b/src/ray/core_worker/test/scheduling_queue_test.cc @@ -85,7 +85,7 @@ TEST(SchedulingQueueTest, TestTaskEvents) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); int n_ok = 0; int n_rej = 0; auto fn_ok = [&n_ok](const TaskSpecification &task_spec, @@ -156,7 +156,7 @@ TEST(SchedulingQueueTest, TestInOrder) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); int n_ok = 0; int n_rej = 0; auto fn_ok = [&n_ok](const TaskSpecification &task_spec, @@ -192,7 +192,7 @@ TEST(SchedulingQueueTest, TestWaitForObjects) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); std::atomic n_ok(0); std::atomic n_rej(0); @@ -243,7 +243,7 @@ TEST(SchedulingQueueTest, TestWaitForObjectsNotSubjectToSeqTimeout) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); std::atomic n_ok(0); std::atomic n_rej(0); @@ -286,7 +286,7 @@ TEST(SchedulingQueueTest, TestOutOfOrder) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); int n_ok = 0; int n_rej = 0; auto fn_ok = [&n_ok](const TaskSpecification &task_spec, @@ -321,7 +321,7 @@ TEST(SchedulingQueueTest, TestSeqWaitTimeout) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); std::atomic n_ok(0); std::atomic n_rej(0); @@ -337,7 +337,7 @@ TEST(SchedulingQueueTest, TestSeqWaitTimeout) { queue.Add(3, -1, fn_ok, fn_rej, nullptr, task_spec); ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); ASSERT_EQ(n_rej, 0); - io_service.run(); // immediately triggers timeout + io_service.run(); ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_rej, 2), 1000)); queue.Add(4, -1, fn_ok, fn_rej, nullptr, task_spec); @@ -362,7 +362,7 @@ TEST(SchedulingQueueTest, TestSkipAlreadyProcessedByClient) { auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); std::atomic n_ok(0); std::atomic n_rej(0); auto fn_ok = [&n_ok](const TaskSpecification &task_spec, diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.cc b/src/ray/core_worker/transport/actor_scheduling_queue.cc index 73838380e14a..3c809eb14c13 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.cc +++ b/src/ray/core_worker/transport/actor_scheduling_queue.cc @@ -26,8 +26,10 @@ ActorSchedulingQueue::ActorSchedulingQueue( instrumented_io_context &task_execution_service, DependencyWaiter &waiter, worker::TaskEventBuffer &task_event_buffer, - std::shared_ptr> pool_manager) - : wait_timer_(task_execution_service), + std::shared_ptr> pool_manager, + int64_t reorder_wait_seconds) + : reorder_wait_seconds_(reorder_wait_seconds), + wait_timer_(task_execution_service), main_thread_id_(std::this_thread::get_id()), waiter_(waiter), task_event_buffer_(task_event_buffer), diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.h b/src/ray/core_worker/transport/actor_scheduling_queue.h index 5bf175031594..60d026ae994f 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.h +++ b/src/ray/core_worker/transport/actor_scheduling_queue.h @@ -45,7 +45,8 @@ class ActorSchedulingQueue : public SchedulingQueue { instrumented_io_context &task_execution_service, DependencyWaiter &waiter, worker::TaskEventBuffer &task_event_buffer, - std::shared_ptr> pool_manager); + std::shared_ptr> pool_manager, + int64_t reorder_wait_seconds); void Stop() override; @@ -81,8 +82,7 @@ class ActorSchedulingQueue : public SchedulingQueue { /// Called when we time out waiting for an earlier task to show up. void OnSequencingWaitTimeout(); /// Max time in seconds to wait for dependencies to show up. - const int64_t reorder_wait_seconds_ = - ::RayConfig::instance().actor_scheduling_queue_max_reorder_wait_seconds(); + const int64_t reorder_wait_seconds_; /// Sorted map of (accept, rej) task callbacks keyed by their sequence number. std::map pending_actor_tasks_; /// The next sequence number we are waiting for to arrive. diff --git a/src/ray/core_worker/transport/task_receiver.cc b/src/ray/core_worker/transport/task_receiver.cc index 798b64d3e82a..b218bdceec20 100644 --- a/src/ray/core_worker/transport/task_receiver.cc +++ b/src/ray/core_worker/transport/task_receiver.cc @@ -196,28 +196,29 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, if (task_spec.IsActorTask()) { auto it = actor_scheduling_queues_.find(task_spec.CallerWorkerId()); if (it == actor_scheduling_queues_.end()) { - if (execute_out_of_order_) { - it = actor_scheduling_queues_ - .emplace(task_spec.CallerWorkerId(), - std::make_unique( - task_execution_service_, - waiter_, - task_event_buffer_, - pool_manager_, - fiber_state_manager_, - is_asyncio_, - fiber_max_concurrency_, - concurrency_groups_)) - .first; - } else { - it = actor_scheduling_queues_ - .emplace(task_spec.CallerWorkerId(), - std::make_unique(task_execution_service_, - waiter_, - task_event_buffer_, - pool_manager_)) - .first; - } + it = actor_scheduling_queues_ + .emplace( + task_spec.CallerWorkerId(), + execute_out_of_order_ + ? std::unique_ptr( + std::make_unique( + task_execution_service_, + waiter_, + task_event_buffer_, + pool_manager_, + fiber_state_manager_, + is_asyncio_, + fiber_max_concurrency_, + concurrency_groups_)) + : std::unique_ptr( + std::make_unique( + task_execution_service_, + waiter_, + task_event_buffer_, + pool_manager_, + RayConfig::instance() + .actor_scheduling_queue_max_reorder_wait_seconds()))) + .first; } it->second->Add(request.sequence_number(), From 9e7092209f006a9a404479cb8102e27bfe41fdf5 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 8 Jul 2025 09:09:06 -0500 Subject: [PATCH 0086/1566] [serve] Remove usage of `ray._private.state` (#54140) Replace with `ray.util.state`. There is one remaining: ``` (ray) eoakes@eoakes-CQTYX0Y0RV serve % grep -r "_private.state" * _private/cluster_node_info_cache.py: ray._private.state.available_resources_per_node() ``` --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/conftest.py | 2 +- python/ray/serve/tests/test_cluster.py | 50 +++++++++------------ python/ray/serve/tests/test_deploy_app.py | 1 - python/ray/serve/tests/test_deploy_app_2.py | 1 - python/ray/serve/tests/test_grpc.py | 42 ++++++++--------- python/ray/serve/tests/test_proxy.py | 8 ++-- python/ray/serve/tests/test_standalone_2.py | 1 - python/ray/serve/tests/test_standalone_3.py | 32 ++++--------- 8 files changed, 53 insertions(+), 84 deletions(-) diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 4b9cde95632e..197de6a2fbe7 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -52,7 +52,7 @@ def ray_shutdown(): @pytest.fixture def ray_cluster(): cluster = Cluster() - yield Cluster() + yield cluster serve.shutdown() ray.shutdown() cluster.shutdown() diff --git a/python/ray/serve/tests/test_cluster.py b/python/ray/serve/tests/test_cluster.py index 72be16917d2f..eb62427df0fe 100644 --- a/python/ray/serve/tests/test_cluster.py +++ b/python/ray/serve/tests/test_cluster.py @@ -22,6 +22,7 @@ from ray.serve.context import _get_global_client from ray.serve.handle import DeploymentHandle from ray.serve.schema import ServeDeploySchema +from ray.util.state import list_actors def get_pids(expected, deployment_name="D", app_name="default", timeout=30): @@ -220,14 +221,13 @@ def test_intelligent_scale_down(ray_cluster): client = _get_global_client() def get_actor_distributions(): - actors = ray._private.state.actors() node_to_actors = defaultdict(list) - for actor in actors.values(): - if "ServeReplica" not in actor["ActorClassName"]: + for actor in list_actors( + address=cluster.address, filters=[("STATE", "=", "ALIVE")] + ): + if "ServeReplica" not in actor.class_name: continue - if actor["State"] != "ALIVE": - continue - node_to_actors[actor["Address"]["NodeID"]].append(actor) + node_to_actors[actor.node_id].append(actor) return set(map(len, node_to_actors.values())) @@ -446,19 +446,22 @@ def __call__(self): # Ensure worker node has both replicas. def check_replicas_on_worker_nodes(): - _actors = ray._private.state.actors().values() - replica_nodes = [ - a["Address"]["NodeID"] - for a in _actors - if a["ActorClassName"].startswith("ServeReplica") - ] - return len(set(replica_nodes)) == 1 + return ( + len( + { + a.node_id + for a in list_actors(address=cluster.address) + if a.class_name.startswith("ServeReplica") + } + ) + == 1 + ) wait_for_condition(check_replicas_on_worker_nodes) # Ensure total actors of 2 proxies, 1 controller, and 2 replicas, # and 2 nodes exist. - wait_for_condition(lambda: len(ray._private.state.actors()) == 5) + wait_for_condition(lambda: len(list_actors(address=cluster.address)) == 5) assert len(ray.nodes()) == 2 # Ensure `/-/healthz` and `/-/routes` return 200 and expected responses @@ -490,21 +493,12 @@ def check_request(url: str, expected_code: int, expected_text: str): # replicas on all nodes. serve.delete(name=SERVE_DEFAULT_APP_NAME) - def _check(): - _actors = ray._private.state.actors().values() - return ( - len( - list( - filter( - lambda a: a["State"] == "ALIVE", - _actors, - ) - ) - ) - == 3 + wait_for_condition( + lambda: len( + list_actors(address=cluster.address, filters=[("STATE", "=", "ALIVE")]) ) - - wait_for_condition(_check) + == 3, + ) # Ensure head node `/-/healthz` and `/-/routes` continue to # return 200 and expected responses. Also, the worker node diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index fc04a3aa0a2d..9622ce595f5a 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -7,7 +7,6 @@ import pytest import ray -import ray._private.state import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 5fd7d5271652..03d0e18a22ed 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -8,7 +8,6 @@ import pytest import ray -import ray._private.state import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition diff --git a/python/ray/serve/tests/test_grpc.py b/python/ray/serve/tests/test_grpc.py index 620c2580e165..efa8ddb03080 100644 --- a/python/ray/serve/tests/test_grpc.py +++ b/python/ray/serve/tests/test_grpc.py @@ -10,7 +10,6 @@ import ray from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition -from ray.cluster_utils import Cluster from ray.serve._private.constants import SERVE_NAMESPACE from ray.serve._private.test_utils import ( ping_fruit_stand, @@ -26,6 +25,7 @@ from ray.serve.generated import serve_pb2, serve_pb2_grpc from ray.serve.grpc_util import RayServegRPCContext from ray.serve.tests.test_config_files.grpc_deployment import g, g2 +from ray.util.state import list_actors def test_serving_request_through_grpc_proxy(ray_cluster): @@ -246,7 +246,7 @@ def test_grpc_proxy_on_draining_nodes(ray_cluster): os.environ["TEST_WORKER_NODE_GRPC_PORT"] = str(worker_node_grpc_port) # Set up a cluster with 2 nodes. - cluster = Cluster() + cluster = ray_cluster cluster.add_node(num_cpus=0) cluster.add_node(num_cpus=2) cluster.wait_for_nodes() @@ -277,18 +277,21 @@ def __call__(self): # Ensure worker node has both replicas. def check_replicas_on_worker_nodes(): - _actors = ray._private.state.actors().values() - replica_nodes = [ - a["Address"]["NodeID"] - for a in _actors - if a["ActorClassName"].startswith("ServeReplica") - ] - return len(set(replica_nodes)) == 1 + return ( + len( + { + a.node_id + for a in list_actors(address=cluster.address) + if a.class_name.startswith("ServeReplica") + } + ) + == 1 + ) wait_for_condition(check_replicas_on_worker_nodes) # Ensure total actors of 2 proxies, 1 controller, and 2 replicas, and 2 nodes exist. - wait_for_condition(lambda: len(ray._private.state.actors()) == 5) + wait_for_condition(lambda: len(list_actors(address=cluster.address)) == 5) assert len(ray.nodes()) == 2 # Set up gRPC channels. @@ -318,21 +321,12 @@ def check_replicas_on_worker_nodes(): # replicas on all nodes. serve.delete(name=app_name) - def _check(): - _actors = ray._private.state.actors().values() - return ( - len( - list( - filter( - lambda a: a["State"] == "ALIVE", - _actors, - ) - ) - ) - == 3 + wait_for_condition( + lambda: len( + list_actors(address=cluster.address, filters=[("STATE", "=", "ALIVE")]) ) - - wait_for_condition(_check) + == 3, + ) # Ensures ListApplications method on the head node is succeeding. wait_for_condition( diff --git a/python/ray/serve/tests/test_proxy.py b/python/ray/serve/tests/test_proxy.py index db678382b088..b319bad39ec8 100644 --- a/python/ray/serve/tests/test_proxy.py +++ b/python/ray/serve/tests/test_proxy.py @@ -9,17 +9,15 @@ DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_NAMESPACE, ) +from ray.util.state import list_actors class TestTimeoutKeepAliveConfig: """Test setting keep_alive_timeout_s in config and env.""" def get_proxy_actor(self) -> ActorHandle: - proxy_actor_name = None - for actor in ray._private.state.actors().values(): - if actor["ActorClassName"] == "ProxyActor": - proxy_actor_name = actor["Name"] - return ray.get_actor(proxy_actor_name, namespace=SERVE_NAMESPACE) + [proxy_actor] = list_actors(filters=[("class_name", "=", "ProxyActor")]) + return ray.get_actor(proxy_actor.name, namespace=SERVE_NAMESPACE) def test_default_keep_alive_timeout_s(self, ray_shutdown): """Test when no keep_alive_timeout_s is set. diff --git a/python/ray/serve/tests/test_standalone_2.py b/python/ray/serve/tests/test_standalone_2.py index 46239ac7dd21..dd197864e40a 100644 --- a/python/ray/serve/tests/test_standalone_2.py +++ b/python/ray/serve/tests/test_standalone_2.py @@ -7,7 +7,6 @@ import pytest import ray -import ray._private.state import ray.actor from ray import serve from ray._common.test_utils import wait_for_condition diff --git a/python/ray/serve/tests/test_standalone_3.py b/python/ray/serve/tests/test_standalone_3.py index 4fe1299c3c74..cbf5686dc5bc 100644 --- a/python/ray/serve/tests/test_standalone_3.py +++ b/python/ray/serve/tests/test_standalone_3.py @@ -8,7 +8,6 @@ import pytest import ray -import ray._private.state import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition @@ -20,6 +19,7 @@ from ray.serve.context import _get_global_client from ray.serve.schema import ProxyStatus, ServeInstanceDetails from ray.tests.conftest import call_ray_stop_only # noqa: F401 +from ray.util.state import list_actors @pytest.fixture @@ -287,7 +287,7 @@ def __call__(self, *args): serve.run(A.bind(), name="app_f") # 2 proxies, 1 controller, 2 replicas. - wait_for_condition(lambda: len(ray._private.state.actors()) == 5) + wait_for_condition(lambda: len(list_actors()) == 5) assert len(ray.nodes()) == 2 # Stop all deployment replicas. @@ -295,15 +295,7 @@ def __call__(self, *args): # The http proxy on worker node should exit as well. wait_for_condition( - lambda: len( - list( - filter( - lambda a: a["State"] == "ALIVE", - ray._private.state.actors().values(), - ) - ) - ) - == 2 + lambda: len(list_actors(filters=[("STATE", "=", "ALIVE")])) == 2, ) client = _get_global_client() @@ -356,7 +348,7 @@ def __call__(self): serve.run(HelloModel.options(num_replicas=2).bind()) # 3 proxies, 1 controller, 2 replicas. - wait_for_condition(lambda: len(ray._private.state.actors()) == 6) + wait_for_condition(lambda: len(list_actors()) == 6) assert len(ray.nodes()) == 3 client = _get_global_client() @@ -435,7 +427,7 @@ def __call__(self): serve.run(target=model) # Ensure total actors of 2 proxies, 1 controller, and 2 replicas - wait_for_condition(lambda: len(ray._private.state.actors()) == 5) + wait_for_condition(lambda: len(list_actors()) == 5) assert len(ray.nodes()) == 2 # Call `graceful_shutdown()` on the controller, so it will start shutdown. @@ -450,9 +442,7 @@ def __call__(self): # Ensure the all resources are shutdown. wait_for_condition( - lambda: all( - [actor["State"] == "DEAD" for actor in ray._private.state.actors().values()] - ) + lambda: len(list_actors(filters=[("STATE", "=", "ALIVE")])) == 0, ) # Clean up serve. @@ -496,7 +486,7 @@ def __call__(self): serve.run(target=model) # Ensure total actors of 2 proxies, 1 controller, and 2 replicas - wait_for_condition(lambda: len(ray._private.state.actors()) == 5) + wait_for_condition(lambda: len(list_actors()) == 5) assert len(ray.nodes()) == 2 # Ensure client times out if the controller does not shutdown within timeout. @@ -510,9 +500,7 @@ def __call__(self): # Ensure the all resources are shutdown gracefully. wait_for_condition( - lambda: all( - [actor["State"] == "DEAD" for actor in ray._private.state.actors().values()] - ), + lambda: len(list_actors(filters=[("STATE", "=", "ALIVE")])) == 0, ) # Clean up serve. @@ -543,9 +531,7 @@ def __call__(self): # Ensure the all resources are shutdown gracefully. wait_for_condition( - lambda: all( - [actor["State"] == "DEAD" for actor in ray._private.state.actors().values()] - ), + lambda: len(list_actors(filters=[("STATE", "=", "ALIVE")])) == 0, ) all_serve_logs = "" From 0fe56c48cf7dbd48042dd2d21172d9ffeb337396 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 8 Jul 2025 11:30:52 -0500 Subject: [PATCH 0087/1566] [serve] Remove usage of `internal_api.memory_summary()` (#54417) Replace with usage of the `list_objects` public state API. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_advanced.py | 39 +++++++++++++++---------- 1 file changed, 24 insertions(+), 15 deletions(-) diff --git a/python/ray/serve/tests/test_advanced.py b/python/ray/serve/tests/test_advanced.py index 09eeebe43812..b844e2b5bea0 100644 --- a/python/ray/serve/tests/test_advanced.py +++ b/python/ray/serve/tests/test_advanced.py @@ -1,4 +1,5 @@ import asyncio +import sys import time import httpx @@ -10,6 +11,7 @@ from ray._common.test_utils import SignalActor from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME from ray.serve.handle import DeploymentHandle +from ray.util.state import list_objects def test_serve_forceful_shutdown(serve_instance): @@ -110,9 +112,20 @@ def test_passing_object_ref_to_deployment_not_pinned_to_memory(serve_instance): See: https://github.com/ray-project/ray/issues/43248 """ + def _obj_ref_exists_in_state_api(obj_ref_hex: str) -> bool: + return ( + len( + list_objects( + filters=[("object_id", "=", obj_ref_hex)], + raise_on_missing_output=False, + ) + ) + > 0 + ) + @serve.deployment class Dep1: - def multiple_by_two(self, length: int): + def multiply_by_two(self, length: int): return length * 2 @serve.deployment @@ -121,31 +134,27 @@ def __init__(self, dep1: DeploymentHandle): self.dep1: DeploymentHandle = dep1 async def __call__(self, http_request: Request) -> str: - _length = int(http_request.query_params.get("length")) - length_ref = ray.put(_length) - obj_ref_hex = length_ref.hex() + length = int(http_request.query_params.get("length")) + length_ref = ray.put(length) - # Object ref should be in the memory for downstream deployment to access. - assert obj_ref_hex in ray._private.internal_api.memory_summary() + # Sanity check that the ObjectRef exists in the state API. + assert _obj_ref_exists_in_state_api(length_ref.hex()) return { - "result": await self.dep1.multiple_by_two.remote(length_ref), - "length": _length, - "obj_ref_hex": obj_ref_hex, + "length": length, + "result": await self.dep1.multiply_by_two.remote(length_ref), + "length_ref_hex": length_ref.hex(), } - app = Gateway.bind(Dep1.bind()) - serve.run(target=app) + serve.run(Gateway.bind(Dep1.bind())) length = 10 response = httpx.get(f"http://localhost:8000?length={length}").json() - assert response["result"] == length * 2 assert response["length"] == length + assert response["result"] == length * 2 # Ensure the object ref is not in the memory anymore. - assert response["obj_ref_hex"] not in ray._private.internal_api.memory_summary() + assert not _obj_ref_exists_in_state_api(response["length_ref_hex"]) if __name__ == "__main__": - import sys - sys.exit(pytest.main(["-v", "-s", __file__])) From a7028deefca8838b52e7babc6d8da1fa5f35416e Mon Sep 17 00:00:00 2001 From: srinathk10 <68668616+srinathk10@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:12:21 -0700 Subject: [PATCH 0088/1566] [Data] Add `pin_memory` to `iter_torch_batches` (#53792) Add `pin_memory` to `iter_torch_batches` - Whether to pin the memory of the tensors. Defaults to False. --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: srinathk10 <68668616+srinathk10@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 1 - python/ray/air/_internal/torch_utils.py | 45 ++++++++++++++++--- python/ray/data/collate_fn.py | 8 +++- python/ray/data/iterator.py | 9 ++++ .../tests/test_iter_torch_batches_gpu.py | 26 ++++++++++- release/train_tests/benchmark/config.py | 1 + .../benchmark/image_classification/factory.py | 12 ++++- .../benchmark/ray_dataloader_factory.py | 1 + 8 files changed, 92 insertions(+), 11 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index ff024c2de55c..aa82b0ea9def 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -390,7 +390,6 @@ python/ray/air/_internal/torch_utils.py DOC103: Function `convert_ndarray_batch_to_torch_tensor_batch`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [dtypes: Optional[Union[torch.dtype, Dict[str, torch.dtype]]], ndarrays: Union[np.ndarray, Dict[str, np.ndarray]]]. Arguments in the docstring but not in the function signature: [dtype: , ndarray: ]. DOC201: Function `convert_ndarray_batch_to_torch_tensor_batch` does not have a return section in docstring DOC201: Function `consume_prefix_in_state_dict_if_present_not_in_place` does not have a return section in docstring - DOC201: Function `convert_ndarray_list_to_torch_tensor_list` does not have a return section in docstring -------------------- python/ray/air/_internal/uri_utils.py DOC101: Method `URI.rstrip_subpath`: Docstring contains fewer arguments than in function signature. diff --git a/python/ray/air/_internal/torch_utils.py b/python/ray/air/_internal/torch_utils.py index 6b39d8809515..2264e8c17e96 100644 --- a/python/ray/air/_internal/torch_utils.py +++ b/python/ray/air/_internal/torch_utils.py @@ -17,6 +17,14 @@ _is_tensor_mapping, _is_tensor_sequence_mapping, ) +from ray._private.ray_constants import env_bool + + +# Default non-blocking transfer for tensors. +DEFAULT_TENSOR_NON_BLOCKING_TRANSFER = env_bool( + "RAY_AIR_DEFAULT_TENSOR_NON_BLOCKING_TRANSFER", + True, +) def get_devices() -> List[torch.device]: @@ -142,6 +150,7 @@ def convert_ndarray_to_torch_tensor( ndarray: np.ndarray, dtype: Optional[torch.dtype] = None, device: Optional[Union[str, "torch.device"]] = None, + pin_memory: bool = False, ) -> torch.Tensor: """Convert a NumPy ndarray to a Torch Tensor. @@ -151,6 +160,7 @@ def convert_ndarray_to_torch_tensor( inferred from the NumPy ndarray data. device: The device on which the tensor(s) should be placed; if None, the Torch tensor(s) will be constructed on the CPU. + pin_memory: Whether to pin the memory of the created tensors. Returns: A Torch Tensor. """ @@ -173,13 +183,23 @@ def convert_ndarray_to_torch_tensor( # torch/csrc/utils/tensor_numpy.cpp#L198-L206 with warnings.catch_warnings(): warnings.simplefilter("ignore") - return torch.as_tensor(ndarray, dtype=dtype, device=device) + result = torch.as_tensor(ndarray, dtype=dtype, device=device) + + if pin_memory: + assert result.device.type == "cpu", ( + "Pin memory is only supported for CPU tensors. " + f"Got device: {result.device} and pin_memory: {pin_memory}." + ) + result = result.pin_memory() + + return result def convert_ndarray_batch_to_torch_tensor_batch( ndarrays: Union[np.ndarray, Dict[str, np.ndarray]], dtypes: Optional[Union[torch.dtype, Dict[str, torch.dtype]]] = None, device: Optional[Union[str, "torch.device"]] = None, + pin_memory: bool = False, ) -> Union[torch.Tensor, Dict[str, torch.Tensor]]: """Convert a NumPy ndarray batch to a Torch Tensor batch. @@ -189,6 +209,7 @@ def convert_ndarray_batch_to_torch_tensor_batch( will be inferred from the NumPy ndarray data. device: The device on which the tensor(s) should be placed; if None, the Torch tensor(s) will be constructed on the CPU. + pin_memory: Whether to pin the memory of the created tensors. Returns: A (dict of) Torch Tensor(s). """ @@ -201,7 +222,12 @@ def convert_ndarray_batch_to_torch_tensor_batch( f"should be given, instead got: {dtypes}" ) dtypes = next(iter(dtypes.values())) - batch = convert_ndarray_to_torch_tensor(ndarrays, dtype=dtypes, device=device) + batch = convert_ndarray_to_torch_tensor( + ndarrays, + dtype=dtypes, + device=device, + pin_memory=pin_memory, + ) else: # Multi-tensor case. batch = { @@ -209,6 +235,7 @@ def convert_ndarray_batch_to_torch_tensor_batch( col_ndarray, dtype=dtypes[col_name] if isinstance(dtypes, dict) else dtypes, device=device, + pin_memory=pin_memory, ) for col_name, col_ndarray in ndarrays.items() } @@ -308,6 +335,7 @@ def convert_ndarray_list_to_torch_tensor_list( ndarrays: Dict[str, List[np.ndarray]], dtypes: Optional[Union[torch.dtype, Dict[str, torch.dtype]]] = None, device: Optional[Union[str, "torch.device"]] = None, + pin_memory: bool = False, ) -> Dict[str, List[torch.Tensor]]: """Convert a dict mapping column names to lists of ndarrays to Torch Tensors. @@ -318,8 +346,10 @@ def convert_ndarray_list_to_torch_tensor_list( will be inferred from the NumPy ndarray data. device: The device on which the tensor(s) should be placed; if None, the Torch tensor(s) will be constructed on the CPU. + pin_memory: Whether to pin the memory of the created tensors. - Returns: A dict mapping column names to lists of Tensors. + Returns: + A dict mapping column names to lists of Tensors. """ return { col_name: [ @@ -327,6 +357,7 @@ def convert_ndarray_list_to_torch_tensor_list( ndarray, dtypes=dtypes[col_name] if isinstance(dtypes, dict) else dtypes, device=device, + pin_memory=pin_memory, ) for ndarray in col_ndarrays ] @@ -338,6 +369,7 @@ def arrow_batch_to_tensors( batch: pyarrow.Table, dtypes: Optional[Union[torch.dtype, Dict[str, torch.dtype]]] = None, combine_chunks: bool = False, + pin_memory: bool = False, ) -> Dict[str, List[torch.Tensor]]: """Convert PyArrow batch to PyTorch tensors. @@ -347,6 +379,7 @@ def arrow_batch_to_tensors( will be inferred from the NumPy ndarray data. combine_chunks: If True, combine chunks in Arrow batch before converting to tensors. + pin_memory: Whether to pin the memory of the created tensors. Returns: A dictionary of column name to list of tensors. For non-chunked columns, @@ -361,6 +394,7 @@ def arrow_batch_to_tensors( col_name: convert_ndarray_batch_to_torch_tensor_batch( col_array, dtypes=dtypes[col_name] if isinstance(dtypes, dict) else dtypes, + pin_memory=pin_memory, ) for col_name, col_array in numpy_batch.items() } @@ -371,6 +405,7 @@ def arrow_batch_to_tensors( return convert_ndarray_list_to_torch_tensor_list( numpy_list, dtypes=dtypes, + pin_memory=pin_memory, ) @@ -378,7 +413,7 @@ def arrow_batch_to_tensors( def concat_tensors_to_device( tensor_sequence: Sequence[torch.Tensor], device: Optional[Union[str, "torch.device"]] = None, - non_blocking: bool = False, + non_blocking: bool = DEFAULT_TENSOR_NON_BLOCKING_TRANSFER, ) -> torch.Tensor: """Stack sequence of tensors into a contiguous GPU tensor. @@ -460,7 +495,7 @@ def _get_type_str(batch: Any) -> str: def move_tensors_to_device( batch: TensorBatchType, device: Optional[Union[str, "torch.device"]] = None, - non_blocking: bool = False, + non_blocking: bool = DEFAULT_TENSOR_NON_BLOCKING_TRANSFER, ) -> TensorBatchReturnType: """Move tensors to the specified device. diff --git a/python/ray/data/collate_fn.py b/python/ray/data/collate_fn.py index 9e0ae6369369..93290b908a2d 100644 --- a/python/ray/data/collate_fn.py +++ b/python/ray/data/collate_fn.py @@ -227,6 +227,7 @@ def __init__( self, dtypes: Optional[Union["torch.dtype", Dict[str, "torch.dtype"]]] = None, device: Optional[Union[str, "torch.device"]] = None, + pin_memory: bool = False, ): """Initialize the collate function. @@ -235,6 +236,7 @@ def __init__( will be inferred from the tensor data. device: The device on which the tensor should be placed. Can be a string (e.g. "cpu", "cuda:0") or a torch.device object. + pin_memory: Whether to pin the memory of the created tensors. """ import torch @@ -244,6 +246,7 @@ def __init__( self.device = torch.device(device) else: self.device = device + self.pin_memory = pin_memory def __call__(self, batch: "pyarrow.Table") -> Dict[str, List["torch.Tensor"]]: """Convert an Arrow batch to PyTorch tensors. @@ -265,5 +268,8 @@ def __call__(self, batch: "pyarrow.Table") -> Dict[str, List["torch.Tensor"]]: # before converting to numpy format and then to Tensors. combine_chunks = self.device.type == "cpu" return arrow_batch_to_tensors( - batch, dtypes=self.dtypes, combine_chunks=combine_chunks + batch, + dtypes=self.dtypes, + combine_chunks=combine_chunks, + pin_memory=self.pin_memory, ) diff --git a/python/ray/data/iterator.py b/python/ray/data/iterator.py index 2eb636d384f1..8602baf10f0a 100644 --- a/python/ray/data/iterator.py +++ b/python/ray/data/iterator.py @@ -278,6 +278,7 @@ def iter_torch_batches( drop_last: bool = False, local_shuffle_buffer_size: Optional[int] = None, local_shuffle_seed: Optional[int] = None, + pin_memory: bool = False, ) -> Iterable["TorchBatchType"]: """Return a batched iterable of Torch Tensors over the dataset. @@ -365,6 +366,8 @@ def iter_torch_batches( therefore ``batch_size`` must also be specified when using local shuffling. local_shuffle_seed: The seed to use for the local random shuffle. + pin_memory: [Alpha] If True, copies the tensor to pinned memory. Note that + `pin_memory` is only supported when using `DefaultCollateFn`. Returns: An iterable over Torch Tensor batches. @@ -379,6 +382,11 @@ def iter_torch_batches( "desired dtype and device outside of collate_fn." ) + if pin_memory and collate_fn is not None: + raise ValueError( + "pin_memory is only supported when using `DefaultCollateFn`." + ) + if device == "auto": # Use the appropriate device for Ray Train, or falls back to CPU if # Ray Train is not being used. @@ -420,6 +428,7 @@ def default_finalize_fn( collate_fn = DefaultCollateFn( dtypes=dtypes, device=device, + pin_memory=pin_memory, ) batch_format = "pyarrow" elif isinstance(collate_fn, ArrowBatchCollateFn): diff --git a/python/ray/train/tests/test_iter_torch_batches_gpu.py b/python/ray/train/tests/test_iter_torch_batches_gpu.py index ad2175fddf65..d0a1591af17b 100644 --- a/python/ray/train/tests/test_iter_torch_batches_gpu.py +++ b/python/ray/train/tests/test_iter_torch_batches_gpu.py @@ -214,6 +214,7 @@ def collate_fn_map(): return { "arrow": { + "default": None, "single": SingleTensorArrowBatchCollateFn(), "tuple": TupleArrowBatchCollateFn(), "list": ListArrowBatchCollateFn(), @@ -237,9 +238,10 @@ def collate_fn_map(): @pytest.mark.parametrize("collate_batch_type", ["arrow", "numpy", "pandas"]) @pytest.mark.parametrize( - "return_type", ["single", "tuple", "dict", "list", "chunked_dict"] + "return_type", ["single", "tuple", "dict", "list", "chunked_dict", "default"] ) @pytest.mark.parametrize("device", ["cpu", "cuda:0"]) +@pytest.mark.parametrize("pin_memory", [True, False]) def test_custom_batch_collate_fn( ray_start_4_cpus_1_gpu, monkeypatch, @@ -247,6 +249,7 @@ def test_custom_batch_collate_fn( return_type, device, collate_fn_map, + pin_memory, ): """Tests that custom batch collate functions can be used to modify the batch before it is converted to a PyTorch tensor. @@ -258,6 +261,17 @@ def test_custom_batch_collate_fn( if device == "cuda:0" and not torch.cuda.is_available(): pytest.skip("CUDA is not available") + # Skip pin_memory tests if CUDA is not available + if pin_memory and not torch.cuda.is_available(): + pytest.skip("pin_memory is set to True, but CUDA is not available.") + + # Skip tests if pin_memory is set to True and the collate function is not the + # DefaultCollateFn. + if pin_memory and not (collate_batch_type == "arrow" and return_type == "default"): + pytest.skip( + "pin_memory is set to True, but the collate function is not the DefaultCollateFn." + ) + collate_fn = collate_fn_map[collate_batch_type].get(return_type) if collate_fn is None: pytest.skip( @@ -274,11 +288,13 @@ def test_custom_batch_collate_fn( ) it = ds.iterator() - for batch in it.iter_torch_batches(collate_fn=collate_fn): + for batch in it.iter_torch_batches(collate_fn=collate_fn, pin_memory=pin_memory): if return_type == "single": assert isinstance(batch, torch.Tensor) assert sorted(batch.tolist()) == list(range(5, 10)) assert batch.device == device + if pin_memory and device.type == "cpu": + assert batch.is_pinned() elif return_type == "dict" or return_type == "chunked_dict": # Chunked dicts get concatenated to single Tensors on the device, # so the assertions are shared with the dict case. @@ -287,6 +303,9 @@ def test_custom_batch_collate_fn( assert sorted(batch["value"].tolist()) == list(range(5)) assert batch["id"].device == device assert batch["value"].device == device + if pin_memory and device.type == "cpu": + assert batch["id"].is_pinned() + assert batch["value"].is_pinned() else: # tuple or list assert isinstance(batch, (tuple, list)) assert len(batch) == 2 @@ -294,6 +313,9 @@ def test_custom_batch_collate_fn( assert sorted(batch[1].tolist()) == list(range(5)) assert batch[0].device == device assert batch[1].device == device + if pin_memory and device.type == "cpu": + assert batch[0].is_pinned() + assert batch[1].is_pinned() if __name__ == "__main__": diff --git a/release/train_tests/benchmark/config.py b/release/train_tests/benchmark/config.py index e4cd6305c6bf..884b1c57de18 100644 --- a/release/train_tests/benchmark/config.py +++ b/release/train_tests/benchmark/config.py @@ -47,6 +47,7 @@ class RayDataConfig(DataLoaderConfig): locality_with_output: bool = False actor_locality_enabled: bool = False enable_shard_locality: bool = True + ray_data_pin_memory: bool = False class TorchConfig(DataLoaderConfig): diff --git a/release/train_tests/benchmark/image_classification/factory.py b/release/train_tests/benchmark/image_classification/factory.py index 846c5d2d1c57..03cdd1ddc78a 100644 --- a/release/train_tests/benchmark/image_classification/factory.py +++ b/release/train_tests/benchmark/image_classification/factory.py @@ -180,6 +180,7 @@ def __init__( self, dtypes: Optional[Union["torch.dtype", Dict[str, "torch.dtype"]]] = None, device: Optional[str] = None, + pin_memory: bool = False, ): """Initialize the collate function. @@ -189,6 +190,7 @@ def __init__( """ self.dtypes = dtypes self.device = device + self.pin_memory = pin_memory def __call__(self, batch: "pyarrow.Table") -> Tuple[torch.Tensor, torch.Tensor]: """Convert an Arrow batch to PyTorch tensors. @@ -204,7 +206,10 @@ def __call__(self, batch: "pyarrow.Table") -> Tuple[torch.Tensor, torch.Tensor]: ) tensors = arrow_batch_to_tensors( - batch, dtypes=self.dtypes, combine_chunks=self.device.type == "cpu" + batch, + dtypes=self.dtypes, + combine_chunks=self.device.type == "cpu", + pin_memory=self.pin_memory, ) return tensors["image"], tensors["label"] @@ -216,7 +221,10 @@ def __init__(self, benchmark_config: BenchmarkConfig): super().__init__(benchmark_config) def _get_collate_fn(self) -> Optional[CollateFn]: - return CustomArrowCollateFn(device=ray.train.torch.get_device()) + return CustomArrowCollateFn( + device=ray.train.torch.get_device(), + pin_memory=self.get_dataloader_config().ray_data_pin_memory, + ) class ImageClassificationMockDataLoaderFactory(BaseDataLoaderFactory): diff --git a/release/train_tests/benchmark/ray_dataloader_factory.py b/release/train_tests/benchmark/ray_dataloader_factory.py index 88228981d91b..f889a6186124 100644 --- a/release/train_tests/benchmark/ray_dataloader_factory.py +++ b/release/train_tests/benchmark/ray_dataloader_factory.py @@ -69,6 +69,7 @@ def get_train_dataloader(self): collate_fn=self._get_collate_fn(), prefetch_batches=dataloader_config.ray_data_prefetch_batches, drop_last=True, + pin_memory=dataloader_config.ray_data_pin_memory, ) ) From a170f6f747cc5e28559266bd4be6cebe219f442c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 8 Jul 2025 12:14:31 -0500 Subject: [PATCH 0089/1566] [core] Skip `test_owner_assign_inner_object` on Windows (#54383) Test is flaky on Windows. `_owner=` arg is experimental and will be deprecated/removed soon, no need to spend time debugging this on Windows. Closes https://github.com/ray-project/ray/issues/54333 Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_object_assign_owner.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/python/ray/tests/test_object_assign_owner.py b/python/ray/tests/test_object_assign_owner.py index 468885c99292..de7a4ca76759 100644 --- a/python/ray/tests/test_object_assign_owner.py +++ b/python/ray/tests/test_object_assign_owner.py @@ -157,10 +157,8 @@ def get_objects(self, refs): assert ray.get(owner.remote_get_object_refs.remote(borrower), timeout=60) +@pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.") def test_owner_assign_inner_object(shutdown_only): - - ray.init() - @ray.remote class Owner: def warmup(self): From 31ac8c40fe4c50b564059acbab2ed844e4b182b5 Mon Sep 17 00:00:00 2001 From: Chenguang Li <757486878@qq.com> Date: Wed, 9 Jul 2025 01:53:34 +0800 Subject: [PATCH 0090/1566] [Refactor]Rename NCCL-related items to comm_backend (#51061) ## Why are these changes needed? ### Background This PR is a follow-up to [#51032](https://github.com/ray-project/ray/pull/51032), which introduced multi-device support in the Compiled Graph by leveraging CUDA's NCCL backend for efficient out-of-band tensor communication. While the current implementation is tightly coupled with NCCL and CUDA, the Compiled Graph runtime is now ready to support a broader spectrum of device types and collective communication backends (e.g., HCCL, RCCL). ### What This PR Does? To enable extensibility and backend-agnostic design, this PR introduces the following core changes: Refactored NCCL-specific naming and APIs NCCL-related modules, classes, and function names have been generalized to eliminate hardcoded CUDA/NCCL assumptions. Introduced a pluggable communication backend interface A unified abstraction layer is added to decouple collective communication logic from any specific implementation. This makes it easier to support alternative collective libraries and device types in the future. This refactor does not alter the existing behavior of NCCL-based Compiled Graph execution. All current workflows using CUDA+NCCL continue to function as before. ## Related issue number https://github.com/ray-project/ray/issues/51574 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: noemotiovon <757486878@qq.com> Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 +- python/ray/dag/collective_node.py | 12 +- python/ray/dag/compiled_dag_node.py | 103 ++++++------ python/ray/dag/dag_node.py | 29 +++- python/ray/dag/dag_node_operation.py | 153 +++++++++-------- .../tests/experimental/test_collective_dag.py | 2 +- .../experimental/test_cpu_communicator_dag.py | 2 +- .../experimental/test_torch_tensor_dag.py | 22 +-- .../test_torch_tensor_transport.py | 12 +- python/ray/experimental/channel/__init__.py | 6 +- .../channel/auto_transport_type.py | 8 +- python/ray/experimental/channel/common.py | 8 +- python/ray/experimental/channel/conftest.py | 2 +- .../experimental/channel/cpu_communicator.py | 2 +- python/ray/experimental/channel/nccl_group.py | 2 +- .../channel/serialization_context.py | 2 +- ...py => torch_tensor_accelerator_channel.py} | 156 ++++++++++-------- .../experimental/channel/torch_tensor_type.py | 41 ++--- .../ray/experimental/collective/conftest.py | 2 +- .../ray/experimental/collective/operations.py | 2 +- python/ray/tests/test_nccl_channel.py | 14 +- 21 files changed, 318 insertions(+), 266 deletions(-) rename python/ray/experimental/channel/{torch_tensor_nccl_channel.py => torch_tensor_accelerator_channel.py} (86%) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index aa82b0ea9def..cda225b46c50 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1486,8 +1486,8 @@ python/ray/experimental/channel/shared_memory_channel.py DOC101: Method `CompositeChannel.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `CompositeChannel.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [_channel_dict: Optional[Dict[ray.ActorID, ChannelInterface]], _channels: Optional[Set[ChannelInterface]], _reader_registered: bool, _writer_registered: bool]. -------------------- -python/ray/experimental/channel/torch_tensor_nccl_channel.py - DOC201: Method `TorchTensorNcclChannel._recv_cpu_and_gpu_data` does not have a return section in docstring +python/ray/experimental/channel/torch_tensor_accelerator_channel.py + DOC201: Method `TorchTensorAcceleratorChannel._recv_cpu_and_gpu_data` does not have a return section in docstring DOC201: Function `_get_ranks` does not have a return section in docstring DOC201: Function `_init_communicator` does not have a return section in docstring -------------------- diff --git a/python/ray/dag/collective_node.py b/python/ray/dag/collective_node.py index 061ba1c641bf..f24dfced0e69 100644 --- a/python/ray/dag/collective_node.py +++ b/python/ray/dag/collective_node.py @@ -22,7 +22,7 @@ class _CollectiveOperation: """ - Represent metadata for a NCCL collective operation. + Represent metadata for a collective communicator collective operation. Args: input_nodes: A list of input nodes to the collective operation. @@ -32,7 +32,7 @@ class _CollectiveOperation: Requirements: 1. Input nodes are unique. 2. Actor handles are unique. - 3. Actor handles match the custom NCCL group if specified. + 3. Actor handles match the custom communicator group if specified. """ def __init__( @@ -66,12 +66,12 @@ def __init__( self._op = op if transport is None: - transport = TorchTensorType.NCCL + transport = TorchTensorType.ACCELERATOR self._type_hint = TorchTensorType(transport=transport, _direct_return=True) if isinstance(transport, Communicator): if set(transport.get_actor_handles()) != set(self._actor_handles): raise ValueError( - "Expected actor handles to match the custom NCCL group" + "Expected actor handles to match the custom communicator group" ) def __str__(self) -> str: @@ -97,7 +97,7 @@ def get_communicator(self) -> Communicator: elif self._type_hint.get_custom_communicator() is not None: communicator = self._type_hint.get_custom_communicator() else: - raise ValueError("Expected a NCCL group") + raise ValueError("Expected a communicator group") return communicator def execute(self, send_buf: "torch.Tensor") -> "torch.Tensor": @@ -142,7 +142,7 @@ def execute(self, send_buf: "torch.Tensor") -> "torch.Tensor": @DeveloperAPI class CollectiveOutputNode(ClassMethodNode): - """Represent an output node from a NCCL collective operation in a Ray DAG.""" + """Represent an output node from a communicator collective operation in a Ray DAG.""" def __init__( self, diff --git a/python/ray/dag/compiled_dag_node.py b/python/ray/dag/compiled_dag_node.py index f41aec731c5b..ce59c2c244da 100644 --- a/python/ray/dag/compiled_dag_node.py +++ b/python/ray/dag/compiled_dag_node.py @@ -64,7 +64,7 @@ ) from ray.experimental.channel.torch_tensor_type import TorchTensorType -from ray.experimental.channel.torch_tensor_nccl_channel import ( +from ray.experimental.channel.torch_tensor_accelerator_channel import ( _init_communicator, _destroy_communicator, ) @@ -341,18 +341,19 @@ def _wrap_exception(exc): return wrapped -def _get_nccl_group_id(type_hint: ChannelOutputType) -> Optional[str]: +def _get_comm_group_id(type_hint: ChannelOutputType) -> Optional[str]: """ - Get the NCCL group ID from the type hint. If the type hint does not - require NCCL, return None. + Get the communicator group ID from the type hint. If the type hint does not + require communicator, return None. Args: type_hint: The type hint of the channel. Returns: - The NCCL group ID if the type hint requires NCCL, otherwise None. + The communicator group ID if the type hint requires communicator, + otherwise None. """ - if type_hint.requires_nccl(): + if type_hint.requires_accelerator(): assert isinstance(type_hint, TorchTensorType) return type_hint.communicator_id return None @@ -361,7 +362,7 @@ def _get_nccl_group_id(type_hint: ChannelOutputType) -> Optional[str]: def _device_context_manager(): """ Return a context manager for executing communication operations - (i.e., READ and WRITE). For NCCL operations, the context manager + (i.e., READ and WRITE). For accelerator operations, the context manager uses the proper cuda device from channel context, otherwise, nullcontext will be returned. """ @@ -509,7 +510,7 @@ def __init__( self.input_type_hints: List[ChannelOutputType] = task.arg_type_hints self.output_type_hint: ChannelOutputType = task.dag_node.type_hint - # The NCCL collective operation. + # The accelerator collective operation. self.collective_op: Optional["ray.dag.CollectiveOperation"] = None if isinstance(task.dag_node, CollectiveOutputNode): self.collective_op = task.dag_node.collective_op @@ -599,25 +600,25 @@ def prepare(self, overlap_gpu_communication: bool = False): # Set up send_stream and recv_stream when overlap_gpu_communication # is configured - if self.output_type_hint.requires_nccl(): - nccl_group_id = _get_nccl_group_id(self.output_type_hint) - nccl_group = ChannelContext.get_current().communicators.get(nccl_group_id) - assert nccl_group is not None - self._send_stream = nccl_group.send_stream + if self.output_type_hint.requires_accelerator(): + comm_group_id = _get_comm_group_id(self.output_type_hint) + comm_group = ChannelContext.get_current().communicators.get(comm_group_id) + assert comm_group is not None + self._send_stream = comm_group.send_stream if self.input_type_hints: for type_hint in self.input_type_hints: - if type_hint.requires_nccl(): - nccl_group_id = _get_nccl_group_id(type_hint) - nccl_group = ChannelContext.get_current().communicators.get( - nccl_group_id + if type_hint.requires_accelerator(): + comm_group_id = _get_comm_group_id(type_hint) + comm_group = ChannelContext.get_current().communicators.get( + comm_group_id ) - assert nccl_group is not None + assert comm_group is not None if not isinstance(self._recv_stream, nullcontext): - assert self._recv_stream == nccl_group.recv_stream, ( + assert self._recv_stream == comm_group.recv_stream, ( "Currently all torch tensor input channels of a " "Compiled Graph task should use the same recv cuda stream." ) - self._recv_stream = nccl_group.recv_stream + self._recv_stream = comm_group.recv_stream def wrap_and_set_intermediate_future( self, val: Any, wrap_in_gpu_future: bool @@ -722,7 +723,7 @@ def _compute( resolved_inputs.append(task_input.resolve(input_data)) if self.collective_op is not None: - # Run a NCCL collective operation. + # Run an accelerator collective operation. method = self.collective_op.execute else: # Run an actor method. @@ -877,7 +878,7 @@ def __init__( tensors. Three types of values are valid. (1) Communicator: For p2p operations, this is the default communicator to use for nodes annotated with `with_tensor_transport()` and when - shared memory is not the desired option (e.g., when transport="nccl", + shared memory is not the desired option (e.g., when transport="accelerator", or when transport="auto" for communication between two different GPUs). For collective operations, this is the default communicator to use when a custom communicator is not specified. @@ -1189,10 +1190,10 @@ def _preprocess(self) -> None: if isinstance(dag_node.type_hint, AutoTransportType): auto_transport_tasks.add(task) - # Collect actors for NCCL P2P methods. - if dag_node.type_hint.requires_nccl(): + # Collect actors for accelerator P2P methods. + if dag_node.type_hint.requires_accelerator(): self._track_communicator_usage(dag_node, {actor_handle}) - # Collect NCCL collective operations. + # Collect accelerator collective operations. if isinstance(dag_node, CollectiveOutputNode): self._track_communicator_usage( dag_node, @@ -1201,16 +1202,16 @@ def _preprocess(self) -> None: ) assert not self._overlap_gpu_communication, ( "Currently, the overlap_gpu_communication option is not " - "supported for NCCL collective operations. Please set " + "supported for accelerator collective operations. Please set " "overlap_gpu_communication=False." ) elif isinstance(dag_node, InputNode) or isinstance( dag_node, InputAttributeNode ): - if dag_node.type_hint.requires_nccl(): + if dag_node.type_hint.requires_accelerator(): raise ValueError( - "DAG inputs cannot be transferred via NCCL because " - "the driver cannot participate in the NCCL group" + "DAG inputs cannot be transferred via accelerator because " + "the driver cannot participate in the communicator group" ) if isinstance(dag_node.type_hint, AutoTransportType): # Currently driver on GPU is not supported, so we always @@ -1283,7 +1284,7 @@ def _preprocess(self) -> None: upstream_task.downstream_task_idxs[task_idx] = downstream_actor_handle - if upstream_task.dag_node.type_hint.requires_nccl(): + if upstream_task.dag_node.type_hint.requires_accelerator(): # Here we are processing the args of the DAGNode, so track # downstream actors only, upstream actor is already tracked # when processing the DAGNode itself. @@ -1399,7 +1400,7 @@ def _track_communicator_usage( collective_op: Whether the communicator is used for a collective operation. """ if None in actors: - raise ValueError("Driver cannot participate in the NCCL group.") + raise ValueError("Driver cannot participate in the communicator group.") if collective_op: type_hint = dag_node._collective_op.type_hint else: @@ -1461,9 +1462,9 @@ def _resolve_auto_transport( Resolve the auto transport type hint for the DAG. """ type_hint_resolver = TypeHintResolver(self.actor_to_gpu_ids) - # Resolve AutoChannelType type hints and track the actors that use NCCL. - # This is needed so that the NCCL group can be initialized for these - # actors that use NCCL. + # Resolve AutoChannelType type hints and track the actors that use accelerator. + # This is needed so that the communicator group can be initialized for + # these actors that use accelerator. for task in auto_transport_tasks: writer = task.dag_node._get_actor_handle() readers = task.downstream_task_idxs.values() @@ -1479,7 +1480,7 @@ def _resolve_auto_transport( writer_and_node, reader_and_node_list, ) - if task.dag_node.type_hint.requires_nccl(): + if task.dag_node.type_hint.requires_accelerator(): self._track_communicator_usage( task.dag_node, set(readers).union({writer}), @@ -1776,7 +1777,7 @@ def _get_or_compile( if RAY_CGRAPH_ENABLE_DETECT_DEADLOCK and self._detect_deadlock(): raise ValueError( - "This DAG cannot be compiled because it will deadlock on NCCL " + "This DAG cannot be compiled because it will deadlock on accelerator " "calls. If you believe this is a false positive, please disable " "the graph verification by setting the environment variable " "RAY_CGRAPH_ENABLE_DETECT_DEADLOCK to 0 and file an issue at " @@ -1961,13 +1962,15 @@ def _generate_dag_operation_graph_node( dag_node = self.idx_to_task[task_idx].dag_node method_name = exec_task.method_name actor_handle = dag_node._get_actor_handle() - requires_nccl_read = False + requires_accelerator_read = False for upstream_node in dag_node._upstream_nodes: - if upstream_node.type_hint.requires_nccl(): - requires_nccl_read = True + if upstream_node.type_hint.requires_accelerator(): + requires_accelerator_read = True break - requires_nccl_compute = isinstance(dag_node, CollectiveOutputNode) - requires_nccl_write = dag_node.type_hint.requires_nccl() + requires_accelerator_compute = isinstance( + dag_node, CollectiveOutputNode + ) + requires_accelerator_write = dag_node.type_hint.requires_accelerator() read_node = _DAGOperationGraphNode( _DAGNodeOperation( @@ -1975,7 +1978,7 @@ def _generate_dag_operation_graph_node( ), task_idx, actor_handle, - requires_nccl_read, + requires_accelerator_read, ) compute_node = _DAGOperationGraphNode( _DAGNodeOperation( @@ -1983,7 +1986,7 @@ def _generate_dag_operation_graph_node( ), task_idx, actor_handle, - requires_nccl_compute, + requires_accelerator_compute, ) write_node = _DAGOperationGraphNode( _DAGNodeOperation( @@ -1991,7 +1994,7 @@ def _generate_dag_operation_graph_node( ), task_idx, actor_handle, - requires_nccl_write, + requires_accelerator_write, ) actor_to_operation_nodes[actor_handle].append( @@ -2058,8 +2061,8 @@ def _detect_deadlock(self) -> bool: """ TODO (kevin85421): Avoid false negatives. - Currently, a compiled graph may deadlock if there are NCCL channels, and the - readers have control dependencies on the same actor. For example: + Currently, a compiled graph may deadlock if there are accelerator channels, + and the readers have control dependencies on the same actor. For example: actor1.a ---> actor2.f1 | @@ -2860,8 +2863,8 @@ def _visualize_ascii(self) -> str: # Get the type hint for this argument if arg_index < len(task.arg_type_hints): - if task.arg_type_hints[arg_index].requires_nccl(): - type_hint = "Nccl" + if task.arg_type_hints[arg_index].requires_accelerator(): + type_hint = "Accelerator" else: type_hint = type(task.arg_type_hints[arg_index]).__name__ else: @@ -2905,7 +2908,7 @@ def _visualize_ascii(self) -> str: # Print edges ascii_visualization += "\nEdges Information:\n" for upstream_task, downstream_task, type_hint in edge_info: - if type_hint == "Nccl": + if type_hint == "Accelerator": edgs_channel = "+++" else: edgs_channel = "---" @@ -2915,7 +2918,7 @@ def _visualize_ascii(self) -> str: # Add the legend to the output ascii_visualization += "\nLegend:\n" - ascii_visualization += "+++> : Represents Nccl-type data channels\n" + ascii_visualization += "+++> : Represents Accelerator-type data channels\n" ascii_visualization += "---> : Represents Shared Memory data channels\n" # Find the maximum width (number of nodes in any layer) diff --git a/python/ray/dag/dag_node.py b/python/ray/dag/dag_node.py index b2e9fc3f9e0e..8c43a7bf5f22 100644 --- a/python/ray/dag/dag_node.py +++ b/python/ray/dag/dag_node.py @@ -151,11 +151,18 @@ def with_tensor_transport( Configure the torch tensor transport for this node. Args: - transport: "nccl" means that tensors will be passed via NCCL. - "shm" means that tensors will be passed via host shared memory and gRPC. - "auto" (default) means that tensor transport will be - automatically determined based on the sender and receiver, - either through NCCL or host memory. + transport: Specifies the tensor transport mechanism. + - "accelerator": Tensors are communicated using accelerator-specific backends + (e.g., NCCL, XLA, or vendor-provided transport). This is the recommended option + for most use cases, as it supports extensibility and future hardware backends. + - "nccl": Tensors are passed explicitly via NCCL. This option is kept for + backwards compatibility and may be removed in the future. Use "accelerator" + instead unless you have legacy requirements. + - "shm": Tensors are passed via host shared memory and gRPC. Typically used + when accelerator-based transport is unavailable or not suitable. + - "auto" (default): The system automatically selects the appropriate transport + mechanism based on the sender and receiver, usually preferring accelerator-based + transport when available. device: The target device to use for the tensor transport. "default": The tensor will maintain its original device placement from the sender "cpu": The tensor will be explicitly moved to CPU device in the receiver @@ -184,7 +191,14 @@ def with_tensor_transport( ) elif transport == "nccl": self._type_hint = TorchTensorType( - transport=transport, + transport="accelerator", + device=device, + _static_shape=_static_shape, + _direct_return=_direct_return, + ) + elif transport == "accelerator": + self._type_hint = TorchTensorType( + transport == "accelerator", device=device, _static_shape=_static_shape, _direct_return=_direct_return, @@ -198,7 +212,8 @@ def with_tensor_transport( else: if not isinstance(transport, Communicator): raise ValueError( - "transport must be 'auto', 'nccl', 'shm' or a Communicator type" + "transport must be 'auto', 'nccl', 'shm', 'accelerator' or " + "a Communicator type" ) self._type_hint = TorchTensorType( transport=transport, diff --git a/python/ray/dag/dag_node_operation.py b/python/ray/dag/dag_node_operation.py index 2a0ab4fd11a0..4da61e0bf064 100644 --- a/python/ray/dag/dag_node_operation.py +++ b/python/ray/dag/dag_node_operation.py @@ -89,7 +89,7 @@ def __init__( operation: _DAGNodeOperation, task_idx: int, actor_handle: "ray.actor.ActorHandle", - requires_nccl: bool, + requires_accelerator: bool, ): """ _DAGOperationGraphNode represents a node in the DAG operation graph. @@ -102,12 +102,12 @@ def __init__( task_idx: A unique index which can be used to index into `CompiledDAG.idx_to_task` to get the corresponding task. actor_handle: The actor handle to which this operation belongs. - requires_nccl: Whether this operation requires NCCL. + requires_accelerator: Whether this operation requires accelerator. """ self.operation = operation self.task_idx = task_idx self.actor_handle = actor_handle - self.requires_nccl = requires_nccl + self.requires_accelerator = requires_accelerator # The in_edges and out_edges are dicts of tuples to strings. # Each tuple (the key) contains an integer `task_idx`, which can be # used to index into `idx_to_task` to get the corresponding task, @@ -117,13 +117,13 @@ def __init__( # the edge is a control dependency. self.in_edges: Dict[Tuple[int, _DAGNodeOperationType], Tuple[str, bool]] = {} self.out_edges: Dict[Tuple[int, _DAGNodeOperationType], Tuple[str, bool]] = {} - # The synchronous nodes are all the nodes that belong to the same NCCL + # The synchronous nodes are all the nodes that belong to the same accelerator # operation. Each node is represented by a tuple of its task idx and type. self.sync_idxs: Set[Tuple[int, _DAGNodeOperationType]] = set() # The pending synchronous nodes are the nodes that are pending to be executed, # i.e., their in-degrees are zero. When a synchronous node is pending, it # will be added to the pending synchronous nodes of all the nodes in the - # NCCL operation. + # accelerator operation. self.pending_sync_idxs: Set[Tuple[int, _DAGNodeOperationType]] = set() def __repr__(self): @@ -132,7 +132,7 @@ def __repr__(self): f"operation: {self.operation}, " f"task_idx: {self.task_idx}, " f"actor_id: {self.actor_handle._ray_actor_id}, " - f"requires_nccl: {self.requires_nccl})" + f"requires_accelerator: {self.requires_accelerator})" ) def __lt__(self, other: "_DAGOperationGraphNode"): @@ -141,14 +141,15 @@ def __lt__(self, other: "_DAGOperationGraphNode"): `_select_next_nodes`. The priority queue is a min-heap, so the node with higher priority is considered "less than" the other node. """ - if self.is_nccl_op != other.is_nccl_op: - # When one node is a NCCL operation and the other is not, prioritize - # the NCCL operation. - return self.is_nccl_op + if self.is_accelerator_op != other.is_accelerator_op: + # When one node is an accelerator operation and the other is not, + # prioritize the accelerator operation. + return self.is_accelerator_op else: - # When either both nodes are NCCL operations or both nodes are not NCCL - # operations, prioritize the earlier task within the same actor and load - # balance tasks across actors. The tie is broken by the `task_idx`. + # When either both nodes are accelerator operations or both nodes + # are not accelerator operations, prioritize the earlier task within + # the same actor and load balance tasks across actors. The tie is + # broken by the `task_idx`. return (self.operation.exec_task_idx, self.task_idx) < ( other.operation.exec_task_idx, other.task_idx, @@ -178,9 +179,10 @@ def in_degree(self) -> int: @property def is_ready(self) -> bool: """ - If a node is not a NCCL operation, it is ready when it has a zero in-degree. - If it is a NCCL operation, it is ready when all the nodes in the operation - have zero in-degrees. + If a node is not an accelerator operation, it is ready when it has a zero + in-degree. + If it is an accelerator operation, it is ready when all the nodes in the + operation have zero in-degrees. """ return self.in_degree == 0 and ( len(self.pending_sync_idxs) == len(self.sync_idxs) @@ -191,31 +193,42 @@ def is_read(self) -> bool: return self.operation.type == _DAGNodeOperationType.READ @property - def is_nccl_read(self) -> bool: + def is_accelerator_read(self) -> bool: """ - A node is a NCCL read if it is a read node and requires NCCL. + A node is an accelerator read if it is a read node and requires accelerator. """ - return self.operation.type == _DAGNodeOperationType.READ and self.requires_nccl + return ( + self.operation.type == _DAGNodeOperationType.READ + and self.requires_accelerator + ) @property - def is_nccl_compute(self) -> bool: + def is_accelerator_compute(self) -> bool: """ - A node is a NCCL compute if it is a compute node and requires NCCL. + A node is an accelerator compute if it is a compute node and requires accelerator. """ return ( - self.operation.type == _DAGNodeOperationType.COMPUTE and self.requires_nccl + self.operation.type == _DAGNodeOperationType.COMPUTE + and self.requires_accelerator ) @property - def is_nccl_write(self) -> bool: + def is_accelerator_write(self) -> bool: """ - A node is a NCCL write if it is a write node and requires NCCL. + A node is an accelerator write if it is a write node and requires accelerator. """ - return self.operation.type == _DAGNodeOperationType.WRITE and self.requires_nccl + return ( + self.operation.type == _DAGNodeOperationType.WRITE + and self.requires_accelerator + ) @property - def is_nccl_op(self) -> bool: - return self.is_nccl_read or self.is_nccl_compute or self.is_nccl_write + def is_accelerator_op(self) -> bool: + return ( + self.is_accelerator_read + or self.is_accelerator_compute + or self.is_accelerator_write + ) def viz_str(self): """ @@ -273,25 +286,27 @@ def _push_candidate_node_if_ready( ) -> None: """ Push the node with a zero in-degree to the candidates if its operation is ready. - If it has synchronous nodes, its NCCL operation is not ready until all the nodes - are pending, then all the nodes will be pushed to the candidates. + If it has synchronous nodes, its accelerator operation is not ready until all + the nodes are pending, then all the nodes will be pushed to the candidates. """ assert node.in_degree == 0, "Expected to have a zero in-degree" - # For the NCCL write node, update the in-degrees of the downstream NCCL read nodes - # and update them as pending. This is necessary because the data dependency edges - # between NCCL write and read nodes are only updated here. The NCCL P2P operation - # becomes ready after both the write and read nodes are marked as pending. - if node.is_nccl_write: + # For the accelerator write node, update the in-degrees of the downstream + # accelerator read nodes and update them as pending. This is necessary because + # the data dependency edges between accelerator write and read nodes are only + # updated here. The accelerator P2P operation becomes ready after both the write + # and read nodes are marked as pending. + if node.is_accelerator_write: for task_idx, op_type in node.out_edges: read_node = graph[task_idx][op_type] read_node.in_edges.pop((node.task_idx, node.operation.type)) - assert read_node.is_nccl_read and len(read_node.in_edges) == 0 + assert read_node.is_accelerator_read and len(read_node.in_edges) == 0 _update_pending_sync_idxs(graph, read_node) - # For the NCCL operation node, update it as pending. + # For the accelerator operation node, update it as pending. if len(node.sync_idxs) != 0: _update_pending_sync_idxs(graph, node) - # The NCCL operation is ready when all the nodes have zero in-degrees. When the last - # node in the operation is updated as pending, push all the nodes to the candidates. + # The accelerator operation is ready when all the nodes have zero in-degrees. + # When the last node in the operation is updated as pending, push all the nodes + # to the candidates. if node.is_ready: if len(node.sync_idxs) == 0: heapq.heappush( @@ -320,18 +335,18 @@ def _select_next_nodes( For the implementation details, we maintain a priority queue for each actor, where the head of the priority queue is the node with the smallest `exec_task_idx`. When a node has a zero in-degree, it is added to the corresponding actor's - priority queue. For a node other than a NCCL collective node, it is ready to be - executed if it has a zero in-degree. For a NCCL collective node, it is ready to + priority queue. For a node other than an accelerator collective node, it is ready to be + executed if it has a zero in-degree. For an accelerator collective node, it is ready to be executed when all the nodes in its collective operation have zero in-degrees. - If a node is a NCCL collective node, it updates the `ready_collective_nodes` of + If a node is an accelerator collective node, it updates the `ready_collective_nodes` of all the nodes in its collective operation. Unless all the nodes in its collective group have zero in-degrees, this node is removed from the candidate list. - Eventually, exactly one NCCL collective node from its collective operation is + Eventually, exactly one accelerator collective node from its collective operation is selected from the candidate list. - If the selected node is a NCCL write node, select all the downstream NCCL - read nodes. If the selected node is a NCCL collective node, select all the NCCL + If the selected node is an accelerator write node, select all the downstream accelerator + read nodes. If the selected node is an accelerator collective node, select all the accelerator compute nodes in its collective operation. Args: @@ -357,7 +372,7 @@ def _select_next_nodes( return None next_nodes = [top_priority_node] - # Select all the synchronous nodes in the NCCL operation. + # Select all the synchronous nodes in the accelerator operation. if len(top_priority_node.sync_idxs) != 0: for task_idx, op_type in top_priority_node.sync_idxs: node = graph[task_idx][op_type] @@ -373,7 +388,7 @@ def _select_next_nodes( # Remove the selected nodes from the candidates. for node in next_nodes: candidates = actor_to_candidates[node.actor_handle._actor_id] - # The NCCL read nodes are not added to the candidates. + # The accelerator read nodes are not added to the candidates. if node in candidates: candidates.remove(node) heapq.heapify(candidates) @@ -449,7 +464,7 @@ def _build_dag_node_operation_graph( from ray.dag.collective_node import _CollectiveOperation # Add an edge from WRITE of the writer task to READ of the reader task. - # Set synchronous nodes for NCCL P2P operations. + # Set synchronous nodes for accelerator P2P operations. for task_idx, task in idx_to_task.items(): if not ( isinstance(task.dag_node, ClassMethodNode) @@ -482,9 +497,9 @@ def _build_dag_node_operation_graph( _add_edge( write_node, read_node, - "nccl" if write_node.requires_nccl else "shm", + "accelerator" if write_node.requires_accelerator else "shm", ) - if write_node.requires_nccl: + if write_node.requires_accelerator: idxs = { (task_idx, _DAGNodeOperationType.WRITE), (consumer_idx, _DAGNodeOperationType.READ), @@ -496,9 +511,9 @@ def _build_dag_node_operation_graph( _add_edge( write_node, read_node, - "nccl" if write_node.requires_nccl else "shm", + "accelerator" if write_node.requires_accelerator else "shm", ) - if write_node.requires_nccl: + if write_node.requires_accelerator: idxs = { (task_idx, _DAGNodeOperationType.WRITE), (downstream_task_idx, _DAGNodeOperationType.READ), @@ -506,7 +521,7 @@ def _build_dag_node_operation_graph( for node in [write_node, read_node]: node.sync_idxs.update(idxs) - # Set synchronous nodes for NCCL collective operations. + # Set synchronous nodes for accelerator collective operations. collective_op_to_idxs: Dict[ _CollectiveOperation, Set[Tuple[int, _DAGNodeOperationType]] ] = defaultdict(set) @@ -582,7 +597,7 @@ def _visualize_execution_schedule( Edges: black color (without label): data dependency black color (annotated with "shm"): shared memory channel - blue color (annotated with "nccl): NCCL channel + blue color (annotated with "accelerator): accelerator channel dashed edge: control dependency between compute operations Args: @@ -638,7 +653,7 @@ def _visualize_execution_schedule( out_task_idx, out_op_type = out_edge out_node = graph[out_task_idx][out_op_type] out_node_viz_id = node_to_viz_id[out_node] - color = "blue" if label == "nccl" else "black" + color = "blue" if label == "accelerator" else "black" style = "dashed" if control_dependency else "solid" dot.edge( node_viz_id, out_node_viz_id, label=label, color=color, style=style @@ -668,7 +683,7 @@ def _visualize_execution_schedule( 'Edges:' 'black color (without label): data dependency' # noqa 'black color (annotated with "shm"): shared memory channel' # noqa - 'blue color (annotated with "nccl): NCCL channel' # noqa + 'blue color (annotated with "accelerator): accelerator channel' # noqa 'dashed edge: control dependency between compute operations' # noqa ">" ) @@ -729,10 +744,10 @@ def _generate_actor_to_execution_schedule( # Use topological sort algorithm to generate the execution schedule. while True: # Select a list of nodes to be executed. There are three cases: - # 1. If a selected node is not a NCCL operation, only itself is returned. - # 2. If a selected node is a NCCL write operation, the corresponding NCCL + # 1. If a selected node is not an accelerator operation, only itself is returned. + # 2. If a selected node is an accelerator write operation, the corresponding accelerator # read operations are also returned. - # 3. If a selected node is a NCCL collective operation, all the nodes in + # 3. If a selected node is an accelerator collective operation, all the nodes in # its collective operation are returned. nodes = _select_next_nodes(actor_to_candidates, graph) if nodes is None: @@ -748,7 +763,7 @@ def _generate_actor_to_execution_schedule( out_node = graph[out_node_task_idx][out_node_type] if out_node in visited_nodes: # If the downstream node is already visited, it has been added - # to the execution schedule. They are the NCCL read nodes in + # to the execution schedule. They are the accelerator read nodes in # case 2. continue out_node.in_edges.pop((node.task_idx, node.operation.type)) @@ -769,8 +784,8 @@ def _generate_overlapped_execution_schedule( computation and communication. Currently, the algorithm generates a new schedule for each actor as follows: - For each NCCL read operation (i.e., recv), scan backwards to find the nearest - compute node to swap with so that the NCCL read operation can be overlapped + For each accelerator read operation (i.e., recv), scan backwards to find the nearest + compute node to swap with so that the accelerator read operation can be overlapped with computation. Collective operations are not yet supported. @@ -792,30 +807,30 @@ def _generate_overlapped_execution_schedule( for i in range(len(overlapped_schedule)): if ( overlapped_schedule[i].operation.type == _DAGNodeOperationType.READ - and overlapped_schedule[i].requires_nccl + and overlapped_schedule[i].requires_accelerator ): - # For each NCCL read operation (i.e., recv), scan backwards + # For each accelerator read operation (i.e., recv), scan backwards # to find the nearest compute node to swap with so that - # the NCCL read operation can be overlapped with computation. + # the accelerator read operation can be overlapped with computation. for j in range(i - 1, -1, -1): if ( overlapped_schedule[j].operation.type == _DAGNodeOperationType.COMPUTE ): # Found a desired compute operation, make the swap - nccl_read_op = overlapped_schedule[i] + accelerator_read_op = overlapped_schedule[i] prev_ops = overlapped_schedule[j:i] overlapped_schedule[j + 1 : i + 1] = prev_ops - overlapped_schedule[j] = nccl_read_op + overlapped_schedule[j] = accelerator_read_op break if ( overlapped_schedule[j].operation.type == _DAGNodeOperationType.READ or overlapped_schedule[j].operation.type == _DAGNodeOperationType.WRITE - ) and overlapped_schedule[j].requires_nccl: - # Found a NCCL read/write operation, skip the overlap - # optimization to keep relative order of NCCL operations + ) and overlapped_schedule[j].requires_accelerator: + # Found an accelerator read/write operation, skip the overlap + # optimization to keep relative order of accelerator operations break return actor_to_overlapped_schedule diff --git a/python/ray/dag/tests/experimental/test_collective_dag.py b/python/ray/dag/tests/experimental/test_collective_dag.py index 5caab5b62843..02230bf8d877 100644 --- a/python/ray/dag/tests/experimental/test_collective_dag.py +++ b/python/ray/dag/tests/experimental/test_collective_dag.py @@ -139,7 +139,7 @@ def test_all_reduce_custom_comm_wrong_actors(ray_start_regular): computes = [worker.return_tensor.bind(inp) for worker in workers] with pytest.raises( ValueError, - match="Expected actor handles to match the custom NCCL group", + match="Expected actor handles to match the custom communicator group", ): collective.allreduce.bind(computes, transport=nccl_group) diff --git a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py index 503a593e6f1d..115e067146b6 100644 --- a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py +++ b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py @@ -355,7 +355,7 @@ def test_allreduce_wrong_actors(ray_start_cluster): computes = [worker.return_tensor.bind(inp) for worker in workers[2:]] with pytest.raises( ValueError, - match="Expected actor handles to match the custom NCCL group", + match="Expected actor handles to match the custom communicator group", ): collective.allreduce.bind(computes, transport=cpu_group) diff --git a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py index bc18b67396aa..57653855cdbe 100644 --- a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py +++ b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py @@ -323,7 +323,7 @@ def test_torch_tensor_auto(ray_start_regular, num_gpus): # Use NCCL only when sender and receiver are on different GPUs. # When each actor has 0.5 GPU, sender and receiver are allocated # on the same GPU, so we use auto. - expected_transport = "nccl" if num_gpus == [1, 1] else "auto" + expected_transport = "accelerator" if num_gpus == [1, 1] else "auto" shape = (10,) dtype = torch.float16 @@ -438,7 +438,7 @@ def test_torch_tensor_nccl_disallows_driver(ray_start_regular): ValueError, match=( r"DAG inputs cannot be transferred " - "via NCCL because the driver cannot participate in the NCCL group" + "via accelerator because the driver cannot participate in the communicator group" ), ): dag.experimental_compile() @@ -450,7 +450,7 @@ def test_torch_tensor_nccl_disallows_driver(ray_start_regular): with pytest.raises( ValueError, - match=(r"Driver cannot participate in the NCCL group\."), + match=(r"Driver cannot participate in the communicator group\."), ): dag.experimental_compile() @@ -559,7 +559,7 @@ def destroy(self) -> None: return self._inner.destroy() def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(self) -> str: @@ -699,7 +699,7 @@ def destroy(self) -> None: pass def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(self) -> str: @@ -843,7 +843,7 @@ def destroy(self) -> None: pass def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(self) -> str: @@ -1000,7 +1000,7 @@ def destroy(self) -> None: pass def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(self) -> str: @@ -1285,8 +1285,8 @@ def test_torch_tensor_exceptions3( ValueError, match=( r"Actor Actor\(TorchTensorWorker, .*?\) returns a tensor with type hint " - r'TorchTensor\(transport="nccl"\) or ' - r"TorchTensor\(transport=nccl_group_handle\) " + r'TorchTensor\(transport="accelerator"\) or ' + r"TorchTensor\(transport=accelerator_group_handle\) " r"but actor does not have an accelerator assigned by Ray\." ), ): @@ -1647,7 +1647,7 @@ def destroy(self) -> None: return self._inner.destroy() def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(self) -> str: @@ -1890,7 +1890,7 @@ def test_torch_nccl_channel_with_all_local_readers(ray_start_regular): AssertionError, match=( "All readers are from the same actor. The TorchTensorType type hint " - "is not needed. No NCCL channel will be created." + "is not needed. No accelerator channel will be created." ), ): dag.experimental_compile() diff --git a/python/ray/dag/tests/experimental/test_torch_tensor_transport.py b/python/ray/dag/tests/experimental/test_torch_tensor_transport.py index 30ad03cf9d8d..5ec1f2526e75 100644 --- a/python/ray/dag/tests/experimental/test_torch_tensor_transport.py +++ b/python/ray/dag/tests/experimental/test_torch_tensor_transport.py @@ -319,7 +319,8 @@ def test_src_gpu_tensor_dst_gpu_node(self, ray_start_regular): receiver = Actor.options(num_gpus=1).remote() with pytest.raises( - ValueError, match="NCCL transport is not supported with CPU target device." + ValueError, + match="accelerator transport is not supported with CPU target device.", ): run_worker_to_worker_dag(sender, receiver, "cpu", "cpu") @@ -343,7 +344,8 @@ def test_src_mix_tensors_dst_gpu_node(self, ray_start_regular): receiver = Actor.options(num_gpus=1).remote() with pytest.raises( - ValueError, match="NCCL transport is not supported with CPU target device." + ValueError, + match="accelerator transport is not supported with CPU target device.", ): run_worker_to_worker_dag( sender, @@ -391,7 +393,8 @@ def test_src_gpu_tensor_dst_gpu_node(self, ray_start_regular): receiver = Actor.options(num_gpus=1).remote() with pytest.raises( - ValueError, match="NCCL transport is not supported with CPU target device." + ValueError, + match="accelerator transport is not supported with CPU target device.", ): run_worker_to_worker_dag(sender, receiver, "cpu", "cpu") @@ -461,7 +464,8 @@ def test_src_gpu_tensor_dst_gpu_node(self, ray_start_regular): receiver = Actor.options(num_gpus=1).remote() with pytest.raises( - ValueError, match="NCCL transport is not supported with CPU target device." + ValueError, + match="accelerator transport is not supported with CPU target device.", ): run_worker_to_worker_dag(sender, receiver, "cpu", "cpu") diff --git a/python/ray/experimental/channel/__init__.py b/python/ray/experimental/channel/__init__.py index ff283d7f97c9..caf2351fae6f 100644 --- a/python/ray/experimental/channel/__init__.py +++ b/python/ray/experimental/channel/__init__.py @@ -19,7 +19,9 @@ Channel, CompositeChannel, ) -from ray.experimental.channel.torch_tensor_nccl_channel import TorchTensorNcclChannel +from ray.experimental.channel.torch_tensor_accelerator_channel import ( + TorchTensorAcceleratorChannel, +) __all__ = [ "AwaitableBackgroundReader", @@ -33,7 +35,7 @@ "SynchronousWriter", "WriterInterface", "ChannelContext", - "TorchTensorNcclChannel", + "TorchTensorAcceleratorChannel", "IntraProcessChannel", "CompositeChannel", "BufferedSharedMemoryChannel", diff --git a/python/ray/experimental/channel/auto_transport_type.py b/python/ray/experimental/channel/auto_transport_type.py index d115649cc6c3..4017ac1fe921 100644 --- a/python/ray/experimental/channel/auto_transport_type.py +++ b/python/ray/experimental/channel/auto_transport_type.py @@ -11,8 +11,8 @@ class AutoTransportType(ChannelOutputType): Type hint for automatic transport selection for tensors. With this type hint Compiled Graphs automatically decide the best transport - to use (e.g., NCCL or shared memory) based on the node locations and GPU IDs - of the readers and writers. + to use (e.g., accellerator or shared memory) based on the node locations and + GPU IDs of the readers and writers. """ def __init__( @@ -172,10 +172,10 @@ def resolve( _direct_return=auto_transport_type._direct_return, ) - # Case 3: writer and readers use different GPUs, use NCCL to transport + # Case 3: writer and readers use different GPUs, use accelerator to transport # the tensors return TorchTensorType( - transport="nccl", + transport="accelerator", device=auto_transport_type.device, _static_shape=auto_transport_type._static_shape, _direct_return=auto_transport_type._direct_return, diff --git a/python/ray/experimental/channel/common.py b/python/ray/experimental/channel/common.py index 4d1fe2ee3d34..8de5f5642312 100644 --- a/python/ray/experimental/channel/common.py +++ b/python/ray/experimental/channel/common.py @@ -103,13 +103,13 @@ def create_channel( """ raise NotImplementedError - def requires_nccl(self) -> bool: - # By default, channels do not require NCCL. + def requires_accelerator(self) -> bool: + # By default, channels do not require accelerator. return False def get_custom_communicator(self) -> Optional[Communicator]: """ - Return the custom NCCL group if one is specified. + Return the custom communicator group if one is specified. """ return None @@ -126,7 +126,7 @@ class ChannelContext: _current_stream: Optional["torch.cuda.Stream"] = None def __init__(self): - # Used for the torch.Tensor NCCL transport. + # Used for the torch.Tensor accelerator transport. self.communicators: Dict[str, "Communicator"] = {} # Used for driver process to store actors in the communicator. self.communicator_handles: Dict[str, "CommunicatorHandle"] = {} diff --git a/python/ray/experimental/channel/conftest.py b/python/ray/experimental/channel/conftest.py index 5d69ff163b2b..0e6cb1c04a8f 100644 --- a/python/ray/experimental/channel/conftest.py +++ b/python/ray/experimental/channel/conftest.py @@ -153,7 +153,7 @@ def start_nccl_mock(): tensor_patcher = mock.patch("torch.Tensor.is_cuda", True) tensor_patcher.start() tensor_allocator_patcher = mock.patch( - "ray.experimental.channel.torch_tensor_nccl_channel._torch_zeros_allocator", + "ray.experimental.channel.torch_tensor_accelerator_channel._torch_zeros_allocator", lambda shape, dtype: torch.zeros(shape, dtype=dtype), ) tensor_allocator_patcher.start() diff --git a/python/ray/experimental/channel/cpu_communicator.py b/python/ray/experimental/channel/cpu_communicator.py index 0ee1679dad68..e0d7f199d7c7 100644 --- a/python/ray/experimental/channel/cpu_communicator.py +++ b/python/ray/experimental/channel/cpu_communicator.py @@ -91,7 +91,7 @@ def _apply_op(self, op: ReduceOp, tensors: List["torch.Tensor"]) -> "torch.Tenso class CPUCommunicator(Communicator): """ - Uses a CPU-based communicator actor instead of a NCCL group. + Uses a CPU-based communicator actor instead of an accelerator group like NCCL. """ def __init__(self, world_size: int, actor_handles: List["ray.actor.ActorHandle"]): diff --git a/python/ray/experimental/channel/nccl_group.py b/python/ray/experimental/channel/nccl_group.py index 0ee8105e622a..f81c8c4bcadb 100644 --- a/python/ray/experimental/channel/nccl_group.py +++ b/python/ray/experimental/channel/nccl_group.py @@ -365,7 +365,7 @@ def destroy(self) -> None: self._comm.destroy() def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(cls) -> str: diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index 10912babb5b0..7474a192e47f 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -144,7 +144,7 @@ def deserialize_tensor( target_device: Device, ): - # Found a placeholder for a tensor that was serialized via NCCL. + # Found a placeholder for a tensor that was serialized via accelerator. # Replace it with the corresponding deserialized tensor. if isinstance(val, int): placeholder = val diff --git a/python/ray/experimental/channel/torch_tensor_nccl_channel.py b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py similarity index 86% rename from python/ray/experimental/channel/torch_tensor_nccl_channel.py rename to python/ray/experimental/channel/torch_tensor_accelerator_channel.py index 7951a09c92fe..ae1cb3772b6c 100644 --- a/python/ray/experimental/channel/torch_tensor_nccl_channel.py +++ b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py @@ -46,7 +46,7 @@ class _TorchTensorMetadata: @DeveloperAPI -class TorchTensorNcclChannel(ChannelInterface): +class TorchTensorAcceleratorChannel(ChannelInterface): def __init__( self, writer: ray.actor.ActorHandle, @@ -55,13 +55,13 @@ def __init__( driver_actor_id: str, tensor_metadata_channel: Optional["Channel"] = None, _cpu_data_channel: Optional["Channel"] = None, - _gpu_data_channel: Optional["_TorchTensorNcclChannel"] = None, + _gpu_data_channel: Optional["_TorchTensorAcceleratorChannel"] = None, _local_channel: Optional["IntraProcessChannel"] = None, ): """ - Can be used to send GPU tensors nested inside other data. The data is - sent via shared memory while the GPU tensors are sent through a P2P - transport (NCCL). + Can be used to send accelerator tensors nested inside other data. The data is + sent via shared memory while the accelerator tensors are sent through a P2P + transport (e.g., NCCL for GPU). NOTE: This class is currently not thread-safe because it reads and writes the worker-local @@ -82,7 +82,7 @@ def __init__( writer and readers. If None is provided, then we assume that there is no CPU-specific data, i.e. the task directly returned a CUDA torch.Tensor. - _gpu_data_channel: A channel for sending torch.Tensors via NCCL. + _gpu_data_channel: A channel for sending torch.Tensors via accelerator. _local_channel: A channel for sending data between the writer and local readers. @@ -113,15 +113,17 @@ def __init__( assert len(remote_reader_and_node_list) > 0, ( "All readers are from the same actor. " "The TorchTensorType type hint is not needed. " - "No NCCL channel will be created." + "No accelerator channel will be created." ) self._gpu_data_channel = _gpu_data_channel if self._gpu_data_channel is None: - self._gpu_data_channel: _TorchTensorNcclChannel = _TorchTensorNcclChannel( - writer, - remote_reader_and_node_list, - typ, - _meta_channel=tensor_metadata_channel, + self._gpu_data_channel: _TorchTensorAcceleratorChannel = ( + _TorchTensorAcceleratorChannel( + writer, + remote_reader_and_node_list, + typ, + _meta_channel=tensor_metadata_channel, + ) ) self._cpu_data_channel: Optional["Channel"] = _cpu_data_channel @@ -146,7 +148,7 @@ def __init__( def __reduce__(self): return ( - TorchTensorNcclChannel, + TorchTensorAcceleratorChannel, ( self._writer, self._reader_and_node_list, @@ -180,7 +182,7 @@ def ensure_registered_as_reader(self): def _send_cpu_and_gpu_data(self, value: Any, timeout: Optional[float]): self.serialization_ctx.reset_out_of_band_tensors([]) - # All tensors found in `value` will be transferred via NCCL. + # All tensors found in `value` will be transferred via accelerator. self.serialization_ctx.set_use_external_transport(True) try: @@ -363,7 +365,7 @@ def _torch_zeros_allocator( return torch.zeros(shape, dtype=dtype, device=ctx.torch_device) -class _TorchTensorNcclChannel(ChannelInterface): +class _TorchTensorAcceleratorChannel(ChannelInterface): def __init__( self, writer: ray.actor.ActorHandle, @@ -372,8 +374,8 @@ def __init__( _meta_channel: Optional["Channel"] = None, ): """ - A helper channel for TorchTensorNcclChannel that is used to transfer - lists of torch.Tensors via NCCL. This class can only transfer + A helper channel for TorchTensorAcceleratorChannel that is used to transfer + lists of torch.Tensors via accelerator. This class can only transfer torch.Tensors and cannot transfer other CPU data, such as Exception objects or tensors nested inside of a dictionary. @@ -401,39 +403,39 @@ def __init__( ctx = ChannelContext.get_current() assert isinstance( typ.communicator_id, str - ), f"NCCL group ID ({typ.communicator_id}) must be a str." + ), f"accelerator group ID ({typ.communicator_id}) must be a str." self._typ = typ self._static_shape = typ.static_shape - assert self._typ.communicator_id is not None, "No NCCL group specified." - self._nccl_group_id: str = self._typ.communicator_id + assert self._typ.communicator_id is not None, "No accelerator group specified." + self._accelerator_group_id: str = self._typ.communicator_id # If the communicators does not contain the group_id, it means the current - # process is the driver, and there’s no need to fetch the nccl_group. + # process is the driver, and there’s no need to fetch the comm_group. if self._typ.communicator_id in ctx.communicators: - self._nccl_group: "Communicator" = ctx.communicators[ + self._accelerator_group: "Communicator" = ctx.communicators[ self._typ.communicator_id ] assert ( - self._nccl_group is not None - ), "ChannelContext.nccl_group is not initialized." + self._accelerator_group is not None + ), "ChannelContext.accelerator_group is not initialized." - self._writer_rank = self._nccl_group.get_rank(self._writer) + self._writer_rank = self._accelerator_group.get_rank(self._writer) self._reader_ranks = [ - self._nccl_group.get_rank(reader) + self._accelerator_group.get_rank(reader) for reader, _ in self._reader_and_node_list ] if ( self._writer_rank is not None - and self._writer_rank == self._nccl_group.get_self_rank() + and self._writer_rank == self._accelerator_group.get_self_rank() ): self._writer_registered = True if ( self._reader_ranks - and self._nccl_group.get_self_rank() in self._reader_ranks + and self._accelerator_group.get_self_rank() in self._reader_ranks ): self._reader_registered = True @@ -456,13 +458,17 @@ def __init__( ) def ensure_registered_as_writer(self): - assert self._nccl_group is not None, "Actor is not part of a NCCL group" + assert ( + self._accelerator_group is not None + ), "Actor is not part of an accelerator group" assert self._writer_registered ctx = ChannelContext.get_current() assert ctx.torch_device.type != "cpu" def ensure_registered_as_reader(self) -> bool: - assert self._nccl_group is not None, "Actor is not part of a NCCL group" + assert ( + self._accelerator_group is not None + ), "Actor is not part of an accelerator group" assert self._reader_registered ctx = ChannelContext.get_current() assert ctx.torch_device.type != "cpu" @@ -546,11 +552,11 @@ def write( timeout: Optional[float] = None, ): """ - Write a list of tensors via NCCL: + Write a list of tensors via accelerator: 1) Send the tensor metadata, i.e. the shape and dtypes of all tensors via the shared-memory metadata channel. - 2) Send the tensor data via NCCL. + 2) Send the tensor data via accelerator. If static_shape=True was set, then we only perform step (1) on the first message. The reader is expected to reuse the sent metadata for @@ -571,17 +577,17 @@ def write( if metadata is not None: self._meta_channel.write(metadata) - # NOTE(swang): We must send the metadata *before* launching the NCCL - # send. We are using blocking NCCL ops, so the following calls will + # NOTE(swang): We must send the metadata *before* launching the accelerator + # send. We are using blocking accelerator ops, so the following calls will # block until the kernel has been enqueued. Also, peers must launch the # kernel together before either can proceed. Therefore, we send the # metadata first so that the receiver can read the metadata and then - # launch the same NCCL op. + # launch the same accelerator op. for tensor in tensors: # TODO: If there are multiple readers, can replace with a # broadcast. for rank in self._reader_ranks: - self._nccl_group.send(tensor, rank) + self._accelerator_group.send(tensor, rank) def _get_recv_tensors_metadata( self, timeout: Optional[float] = None @@ -611,7 +617,7 @@ def read( (1) Receive the tensor metadata via the shared-memory metadata channel. (2) Allocate buffers on our default device according to the received tensor metadata. - (3) Receive the tensor data via NCCL. + (3) Receive the tensor data via accelerator. If static_data=True was set, then we only perform step (1) on the first message. Subsequent messages reuse the same metadata. @@ -626,7 +632,7 @@ def read( bufs: List["torch.Tensor"] = [] for meta in meta_list: - buf = self._nccl_group.recv( + buf = self._accelerator_group.recv( meta.shape, meta.dtype, self._writer_rank, _torch_zeros_allocator ) bufs.append(buf) @@ -637,10 +643,10 @@ def read( def close(self) -> None: self._meta_channel.close() - self._nccl_group.destroy() + self._accelerator_group.destroy() ctx = ChannelContext.get_current() - if self._nccl_group_id in ctx.communicators: - del ctx.communicators[self._nccl_group_id] + if self._accelerator_group_id in ctx.communicators: + del ctx.communicators[self._accelerator_group_id] def _do_init_communicator( @@ -663,7 +669,7 @@ def _do_init_communicator( custom_communicator.initialize(rank) ctx.communicators[group_id] = custom_communicator else: - # default to NcclGroup + # default to CommGroup ctx.communicators[group_id] = AcceleratorContext.get().create_communicator( world_size, comm_id, @@ -680,8 +686,8 @@ def _do_destroy_communicator(self, group_id): return ctx.communicators[group_id].destroy() - # Keep the NCCL group in the map after destruction in case there is still a - # task loop running. + # Keep the communicator group in the map after destruction in case there is + # still a task loop running. def _do_check_has_accelerators(self) -> str: @@ -697,32 +703,32 @@ def _do_get_unique_communication_id(self) -> bool: def _get_ranks( - actors: List[ray.actor.ActorHandle], custom_nccl_group: Optional[Communicator] + actors: List[ray.actor.ActorHandle], custom_comm_group: Optional[Communicator] ) -> List[int]: """ - Get ranks for the NCCL group to use. If custom_nccl_group is specified, - return the ranks of the actors in the custom NCCL group, in the same + Get ranks for the communicator group to use. If custom_comm_group is specified, + return the ranks of the actors in the custom communicator group, in the same order of the actors; otherwise, return list(range(len(actors))). Args: - actors: A list of actors that participate in the NCCL group. - custom_nccl_group: The custom NCCL group to use. + actors: A list of actors that participate in the communicator group. + custom_comm_group: The custom communicator group to use. """ - if custom_nccl_group is None: + if custom_comm_group is None: return list(range(len(actors))) - assert len(actors) == custom_nccl_group.get_world_size(), ( - "The world size of the custom NCCL group does not match the number " - "of actors." + assert len(actors) == custom_comm_group.get_world_size(), ( + "The world size of the custom communicator group does not match the " + "number of actors." ) ranks = [] for actor in actors: - rank = custom_nccl_group.get_rank(actor) - assert rank not in ranks, "Duplicate rank in custom NCCL group" + rank = custom_comm_group.get_rank(actor) + assert rank not in ranks, "Duplicate rank in custom communicator group" ranks.append(rank) - assert custom_nccl_group.get_world_size() == len(actors), ( - "The world size of the custom NCCL group " - f"({custom_nccl_group.get_world_size()}) " + assert custom_comm_group.get_world_size() == len(actors), ( + "The world size of the custom communicator group " + f"({custom_comm_group.get_world_size()}) " "does not match the number of actors " f"({len(actors)})." ) @@ -737,12 +743,13 @@ def _init_communicator( accelerator_communicator_cls: Optional[Type[Communicator]] = None, ) -> str: """ - Initialize a NCCL group with the given actors. If a custom NCCL group is - provided, then it will be used, otherwise a new NCCL group will be created. + Initialize a communicator group with the given actors. If a custom communicator + group is provided, then it will be used, otherwise a new communicator group + will be created. Args: - actors: A list of actors that participate in the NCCL group. - custom_communicator: A custom NCCL group to initialize. + actors: A list of actors that participate in the communicator group. + custom_communicator: A custom communicator group to initialize. use_communication_streams: Whether to use dedicated send and recv streams for communication. If True, communication and computation can be overlapped to improve performance. @@ -776,8 +783,8 @@ def _init_communicator( if not has_accelerator and not is_cpu_communicator: raise ValueError( f"Actor {actor} returns a tensor with type hint " - 'TorchTensor(transport="nccl") or ' - "TorchTensor(transport=nccl_group_handle) " + 'TorchTensor(transport="accelerator") or ' + "TorchTensor(transport=accelerator_group_handle) " "but actor does not have an accelerator assigned by Ray." ) @@ -786,16 +793,18 @@ def _init_communicator( # Allocate a communicator ID on one of the actors that will participate in # the group. This is in case the driver is not on the same node as one of - # the NCCL actors. + # the communicator actors. comm_id = ray.get(actors[0].__ray_call__.remote(_do_get_unique_communication_id)) - # Used to uniquely identify this NCCL group. + # Used to uniquely identify this communicator group. group_id = str(uuid.uuid4()) if custom_communicator is not None: - logger.info(f"Initializing custom NCCL group {group_id} on actors: {actors}") + logger.info( + f"Initializing custom communicator group {group_id} on actors: {actors}" + ) else: - logger.info(f"Creating NCCL group {group_id} on actors: {actors}") + logger.info(f"Creating communicator group {group_id} on actors: {actors}") world_size = len(actors) ranks = _get_ranks(actors, custom_communicator) @@ -816,11 +825,12 @@ def _init_communicator( ray.get(init_tasks, timeout=30) except ray.exceptions.GetTimeoutError: logger.warning( - "NCCL group creation not done after 30s. NCCL group creation may be hung." + "Communicator group creation not done after 30s. communicator group" + "creation may be hung." ) ray.get(init_tasks) - logger.info("NCCL group initialized.") + logger.info("Communicator group initialized.") if custom_communicator is not None: ctx.communicator_handles[group_id] = CommunicatorHandle( @@ -836,7 +846,7 @@ def _init_communicator( def _destroy_communicator(group_id: str) -> None: """ - Destroy the NCCL group with the given ID. + Destroy the communicator group with the given ID. """ ctx = ChannelContext.get_current() if group_id not in ctx.communicator_handles: @@ -855,8 +865,8 @@ def _destroy_communicator(group_id: str) -> None: _, unready = ray.wait(destroy_tasks, timeout=30, num_returns=len(destroy_tasks)) if unready: logger.warning( - "NCCL group destruction not done after 30s. NCCL group destruction " - "may be hung." + "Communicator group destruction not done after 30s. Communicator" + "group destruction may be hung." ) del ctx.communicator_handles[group_id] diff --git a/python/ray/experimental/channel/torch_tensor_type.py b/python/ray/experimental/channel/torch_tensor_type.py index 9ecae31ddd9a..21220acf9959 100644 --- a/python/ray/experimental/channel/torch_tensor_type.py +++ b/python/ray/experimental/channel/torch_tensor_type.py @@ -17,8 +17,8 @@ @PublicAPI(stability="alpha") class TorchTensorType(ChannelOutputType): AUTO = "auto" - NCCL = "nccl" CPU = "cpu" + ACCELERATOR = "accelerator" def __init__( self, @@ -40,11 +40,12 @@ def __init__( Args: transport: "auto" (default) means that tensors will be passed via host memory, using numpy as the serialization format. Pass - TorchTensorType.NCCL or "nccl" to use NCCL instead, avoiding - the host memory copy. + TorchTensorType.ACCELERATOR or "accelerator" to use accelerator + instead, avoiding the host memory copy. device: Target device for tensor transport. Options: - "default": Retains the same device type as the sender. - - "cpu": Moves tensor to CPU on the receiver. Not compatible with NCCL transport. + - "cpu": Moves tensor to CPU on the receiver. Not compatible + with accelerator transport. - "gpu" or "cuda": Moves tensor to GPU on the receiver. _static_shape: A hint indicating whether the shape(s) and dtype(s) of tensor(s) contained in this value always remain the same @@ -77,13 +78,15 @@ def __init__( self._communicator = transport transport = transport.get_transport_name() - if transport not in [self.AUTO, self.NCCL, self.CPU]: + if transport not in [self.AUTO, self.CPU, self.ACCELERATOR]: raise ValueError( - "`transport` must be TorchTensorType.AUTO, TorchTensorType.NCCL, " + "`transport` must be TorchTensorType.AUTO, TorchTensorType.ACCELERATOR " "or TorchTensorType.CPU" ) - if device == Device.CPU and transport == self.NCCL: - raise ValueError("NCCL transport is not supported with CPU target device.") + if device == Device.CPU and transport == self.ACCELERATOR: + raise ValueError( + "accelerator transport is not supported with CPU target device." + ) self.transport = transport self._communicator_id: Optional[str] = None @@ -138,12 +141,12 @@ def create_channel( _cpu_data_channel: Optional["Channel"] = None, _tensor_metadata_channel: Optional["Channel"] = None, ) -> type: - if self.requires_nccl(): - from ray.experimental.channel.torch_tensor_nccl_channel import ( - TorchTensorNcclChannel, + if self.requires_accelerator(): + from ray.experimental.channel.torch_tensor_accelerator_channel import ( + TorchTensorAcceleratorChannel, ) - return TorchTensorNcclChannel( + return TorchTensorAcceleratorChannel( writer, reader_and_node_list, self, @@ -152,18 +155,18 @@ def create_channel( _cpu_data_channel, ) - # Data does not require NCCL. Transfer via host memory using a + # Data does not require accelerator. Transfer via host memory using a # shared-memory channel. # TODO(swang): Allow the initial max buffer size to be overridden. typ = SharedMemoryType() return typ.create_channel(writer, reader_and_node_list, driver_actor_id) - def requires_nccl(self) -> bool: - return self.transport == self.NCCL + def requires_accelerator(self) -> bool: + return self.transport == self.ACCELERATOR def get_custom_communicator(self) -> Optional[Communicator]: """ - Return the NCCL group if one is specified. + Return the communicator group if one is specified. """ return self._communicator @@ -176,9 +179,9 @@ def communicator_id(self) -> Optional[str]: def __deepcopy__(self, memo): """ - Deep copy all the fields except for the NCCL group. The NCCL group - should not be deep copied because it can be shared across - `TorchTensorType` instances. + Deep copy all the fields except for the communicator group. The communicator + group should not be deep copied because it can be shared across `TorchTensorType` + instances. """ copy = TorchTensorType( transport=self.transport, diff --git a/python/ray/experimental/collective/conftest.py b/python/ray/experimental/collective/conftest.py index 464524e1487f..94da1141c18d 100644 --- a/python/ray/experimental/collective/conftest.py +++ b/python/ray/experimental/collective/conftest.py @@ -83,7 +83,7 @@ def destroy(self) -> None: pass def get_transport_name(self) -> str: - return "nccl" + return "accelerator" @classmethod def generate_communicator_id(cls) -> str: diff --git a/python/ray/experimental/collective/operations.py b/python/ray/experimental/collective/operations.py index 6d44ddf65204..db3086250548 100644 --- a/python/ray/experimental/collective/operations.py +++ b/python/ray/experimental/collective/operations.py @@ -51,7 +51,7 @@ def _bind( A list of collective output nodes. """ if transport is None: - transport = TorchTensorType.NCCL + transport = TorchTensorType.ACCELERATOR collective_op = _CollectiveOperation(input_nodes, op, transport) collective_output_nodes: List[CollectiveOutputNode] = [] diff --git a/python/ray/tests/test_nccl_channel.py b/python/ray/tests/test_nccl_channel.py index 67fe31e07f38..786960999491 100644 --- a/python/ray/tests/test_nccl_channel.py +++ b/python/ray/tests/test_nccl_channel.py @@ -14,7 +14,7 @@ TracedChannel, ) from ray.experimental.channel.torch_tensor_type import TorchTensorType -from ray.experimental.channel.torch_tensor_nccl_channel import ( +from ray.experimental.channel.torch_tensor_accelerator_channel import ( _init_communicator, ) from ray._private.test_utils import get_actor_node_id @@ -127,7 +127,7 @@ def test_p2p(ray_start_cluster): nccl_id = _init_communicator([sender, receiver]) - chan_typ = TorchTensorType(transport="nccl") + chan_typ = TorchTensorType(transport="accelerator") chan_typ.set_communicator_id(nccl_id) chan_ref = sender.create_nccl_channel.remote(chan_typ, [(receiver, receiver_node)]) receiver_ready = receiver.set_nccl_channel.remote(chan_typ, chan_ref) @@ -186,7 +186,7 @@ def test_multiple_receivers(ray_start_cluster): nccl_id = _init_communicator(workers) - chan_typ = TorchTensorType(transport="nccl") + chan_typ = TorchTensorType(transport="accelerator") chan_typ.set_communicator_id(nccl_id) chan_ref = sender.create_nccl_channel.remote(chan_typ, receiver_to_node) receiver_ready = [ @@ -241,7 +241,7 @@ def test_static_shape(ray_start_cluster): nccl_id = _init_communicator([sender, receiver]) chan_typ = TorchTensorType( - transport="nccl", + transport="accelerator", _static_shape=True, ) chan_typ.set_communicator_id(nccl_id) @@ -330,7 +330,7 @@ def test_direct_return(ray_start_cluster): nccl_id = _init_communicator([sender, receiver]) chan_typ = TorchTensorType( - transport="nccl", + transport="accelerator", _direct_return=True, ) chan_typ.set_communicator_id(nccl_id) @@ -413,7 +413,7 @@ def test_static_shape_and_direct_return(ray_start_cluster): nccl_id = _init_communicator([sender, receiver]) chan_typ = TorchTensorType( - transport="nccl", + transport="accelerator", _static_shape=True, _direct_return=True, ) @@ -498,7 +498,7 @@ def test_direct_return_with_cpu_data_channel(ray_start_cluster): nccl_id = _init_communicator([sender, receiver]) chan_typ = TorchTensorType( - transport="nccl", + transport="accelerator", _direct_return=True, ) chan_typ.set_communicator_id(nccl_id) From b4955e6929cdd272ea8d8058736fd6b179ebbe99 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Tue, 8 Jul 2025 17:56:52 +0000 Subject: [PATCH 0091/1566] [Autoscaler][V2] Use running node instances to rate-limit upscaling (#50414) This PR changes the v2 autoscaler scale up logic to use `IMInstance.RAY_RUNNING` (rather than `IMInstance.REQUESTED` + nodes with an `IMInstance.cloud_instance_id`) when computing the number of nodes to launch per node type. This is to maintain consistency with how `upscaling_speed` is handled by the V1 autoscaler and described in the [Ray docs](https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#upscaling-and-downscaling-speed), i.e. the factor by which to scale the number of nodes in the cluster, with a minimum of 5. --------- Signed-off-by: Ryan O'Leary Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/constants.py | 3 ++ .../_private/resource_demand_scheduler.py | 6 +-- .../v2/instance_manager/reconciler.py | 27 +++++--------- .../autoscaler/v2/tests/test_reconciler.py | 37 ++++++++++++++----- 4 files changed, 41 insertions(+), 32 deletions(-) diff --git a/python/ray/autoscaler/_private/constants.py b/python/ray/autoscaler/_private/constants.py index 874e5af23993..304625480d20 100644 --- a/python/ray/autoscaler/_private/constants.py +++ b/python/ray/autoscaler/_private/constants.py @@ -88,6 +88,9 @@ def env_integer(key, default): # Port that autoscaler prometheus metrics will be exported to AUTOSCALER_METRIC_PORT = env_integer("AUTOSCALER_METRIC_PORT", 44217) +# The minimum number of nodes to launch concurrently. +AUTOSCALER_UPSCALING_INITIAL_NUM_NODES = 5 + # Max number of retries to AWS (default is 5, time increases exponentially) BOTO_MAX_RETRIES = env_integer("BOTO_MAX_RETRIES", 12) # Max number of retries to create an EC2 node (retry different subnet) diff --git a/python/ray/autoscaler/_private/resource_demand_scheduler.py b/python/ray/autoscaler/_private/resource_demand_scheduler.py index 1983b3896564..a24c19c94ebb 100644 --- a/python/ray/autoscaler/_private/resource_demand_scheduler.py +++ b/python/ray/autoscaler/_private/resource_demand_scheduler.py @@ -19,6 +19,7 @@ from ray._private.gcs_utils import PlacementGroupTableData from ray.autoscaler._private.constants import ( AUTOSCALER_CONSERVE_GPU_NODES, + AUTOSCALER_UPSCALING_INITIAL_NUM_NODES, AUTOSCALER_UTILIZATION_SCORER_KEY, ) from ray.autoscaler._private.loader import load_function_or_class @@ -45,9 +46,6 @@ logger = logging.getLogger(__name__) -# The minimum number of nodes to launch concurrently. -UPSCALING_INITIAL_NUM_NODES = 5 - NodeResources = ResourceDict ResourceDemands = List[ResourceDict] @@ -437,7 +435,7 @@ def _get_concurrent_resource_demand_to_launch( # Enforce here max allowed pending nodes to be frac of total # running nodes. max_allowed_pending_nodes = max( - UPSCALING_INITIAL_NUM_NODES, + AUTOSCALER_UPSCALING_INITIAL_NUM_NODES, int(self.upscaling_speed * max(running_nodes[node_type], 1)), ) total_pending_nodes = ( diff --git a/python/ray/autoscaler/v2/instance_manager/reconciler.py b/python/ray/autoscaler/v2/instance_manager/reconciler.py index 539b8a6a98b4..8adefd946498 100644 --- a/python/ray/autoscaler/v2/instance_manager/reconciler.py +++ b/python/ray/autoscaler/v2/instance_manager/reconciler.py @@ -745,15 +745,15 @@ def _handle_instances_launch( queued_instances = [] requested_instances = [] - allocated_instances = [] + running_instances = [] for instance in instances: if instance.status == IMInstance.QUEUED: queued_instances.append(instance) elif instance.status == IMInstance.REQUESTED: requested_instances.append(instance) - elif instance.cloud_instance_id: - allocated_instances.append(instance) + elif instance.status == IMInstance.RAY_RUNNING: + running_instances.append(instance) if not queued_instances: # No QUEUED instances @@ -762,7 +762,7 @@ def _handle_instances_launch( to_launch = Reconciler._compute_to_launch( queued_instances, requested_instances, - allocated_instances, + running_instances, autoscaling_config.get_upscaling_speed(), autoscaling_config.get_max_concurrent_launches(), ) @@ -797,7 +797,7 @@ def _handle_instances_launch( def _compute_to_launch( queued_instances: List[IMInstance], requested_instances: List[IMInstance], - allocated_instances: List[IMInstance], + running_instances: List[IMInstance], upscaling_speed: float, max_concurrent_launches: int, ) -> Dict[NodeType, List[IMInstance]]: @@ -815,8 +815,7 @@ def _sort_by_earliest_queued(instance: IMInstance) -> List[int]: return sorted(queue_times) queued_instances_by_type = _group_by_type(queued_instances) - requested_instances_by_type = _group_by_type(requested_instances) - allocated_instances_by_type = _group_by_type(allocated_instances) + running_instances_by_type = _group_by_type(running_instances) total_num_requested_to_launch = len(requested_instances) all_to_launch: Dict[NodeType : List[IMInstance]] = defaultdict(list) @@ -825,22 +824,14 @@ def _sort_by_earliest_queued(instance: IMInstance) -> List[int]: instance_type, queued_instances_for_type, ) in queued_instances_by_type.items(): - requested_instances_for_type = requested_instances_by_type.get( - instance_type, [] - ) - allocated_instances_for_type = allocated_instances_by_type.get( + running_instances_for_type = running_instances_by_type.get( instance_type, [] ) + # Enforce the max allowed pending nodes based on current running nodes num_desired_to_upscale = max( 1, - math.ceil( - upscaling_speed - * ( - len(requested_instances_for_type) - + len(allocated_instances_for_type) - ) - ), + math.ceil(upscaling_speed * len(running_instances_for_type)), ) # Enforce global limit, at most we can launch `max_concurrent_launches` diff --git a/python/ray/autoscaler/v2/tests/test_reconciler.py b/python/ray/autoscaler/v2/tests/test_reconciler.py index c0622950d0db..40b8095b3534 100644 --- a/python/ray/autoscaler/v2/tests/test_reconciler.py +++ b/python/ray/autoscaler/v2/tests/test_reconciler.py @@ -1,3 +1,4 @@ +import math import os import sys import time @@ -630,15 +631,15 @@ def test_draining_ray_node_also_terminated(setup): @staticmethod @pytest.mark.parametrize( - "max_concurrent_launches,num_allocated,num_requested", + "max_concurrent_launches,num_allocated,num_requested,num_running", [ - (1, 0, 0), - (10, 0, 0), - (1, 0, 1), - (1, 1, 0), - (10, 1, 0), - (10, 0, 1), - (10, 5, 5), + (1, 0, 0, 0), + (10, 0, 0, 0), + (1, 0, 1, 1), + (1, 1, 0, 1), + (10, 1, 0, 1), + (10, 0, 1, 1), + (10, 5, 5, 5), ], ) @pytest.mark.parametrize( @@ -646,7 +647,12 @@ def test_draining_ray_node_also_terminated(setup): [0.0, 0.1, 0.5, 1.0, 100.0], ) def test_max_concurrent_launches( - max_concurrent_launches, num_allocated, num_requested, upscaling_speed, setup + max_concurrent_launches, + num_allocated, + num_requested, + num_running, + upscaling_speed, + setup, ): instance_manager, instance_storage, subscriber = setup next_id = 0 @@ -686,7 +692,18 @@ def test_max_concurrent_launches( ] TestReconciler._add_instances(instance_storage, queued_instances) - num_desired_upscale = max(1, upscaling_speed * (num_requested + num_allocated)) + # Add some running instances. + for _ in range(num_running): + instance = create_instance( + str(next_id), + status=Instance.RAY_RUNNING, + instance_type="type-1", + launch_request_id="l-1", + ) + TestReconciler._add_instances(instance_storage, [instance]) + next_id += 1 + + num_desired_upscale = max(1, math.ceil(upscaling_speed * (num_running))) expected_launch_num = min( num_desired_upscale, max(0, max_concurrent_launches - num_requested), # global limit From bb8a26f44c9c61e6c29f4f74b441708304488bdd Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 11:34:26 -0700 Subject: [PATCH 0092/1566] [wheel] remove pyarrow <18 restriction (#54405) the restriction should be on installation time rather than inside the wheel. this extra constraint sometimes can unnecessarily mislead depedency manager's resolution algorithms Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements.txt | 3 --- python/setup.py | 1 - 2 files changed, 4 deletions(-) diff --git a/python/requirements.txt b/python/requirements.txt index 0e2127f80f00..a064c97d10ab 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -23,10 +23,7 @@ grpcio == 1.54.2; sys_platform == "darwin" grpcio >= 1.54.2; sys_platform != "darwin" numpy>=1.20 -# pyarrow 18 causes macos build failures. -# See https://github.com/ray-project/ray/pull/48300 pyarrow >= 9.0.0 -pyarrow <18; sys_platform == "darwin" and platform_machine == "x86_64" # ray[all] smart_open diff --git a/python/setup.py b/python/setup.py index 819485648fd6..871acfa9d0a7 100644 --- a/python/setup.py +++ b/python/setup.py @@ -220,7 +220,6 @@ def get_packages(self): numpy_dep = "numpy >= 1.20" pyarrow_deps = [ "pyarrow >= 9.0.0", - "pyarrow <18; sys_platform == 'darwin' and platform_machine == 'x86_64'", ] pydantic_dep = "pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3" setup_spec.extras = { From 96e3cff9f7870bcca128859e2d45bd71ea0323b1 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 8 Jul 2025 12:07:33 -0700 Subject: [PATCH 0093/1566] [serve] bump timeout for test_proxy (#54426) Move `test_proxy` to `medium` size test. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index ee8d738e8bbb..a40d731fa3a0 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -45,7 +45,6 @@ py_test_module_list( "test_kv_store.py", "test_long_poll.py", "test_persistence.py", - "test_proxy.py", "test_proxy_actor_wrapper.py", "test_replica_request_context.py", "test_util.py", @@ -85,6 +84,7 @@ py_test_module_list( "test_logging.py", "test_max_replicas_per_node.py", "test_multiplex.py", + "test_proxy.py", "test_proxy_response_generator.py", "test_ray_client.py", "test_record_routing_stats.py", From 1b435d0d059f0b121a474481c8dbd63db1af4c84 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 12:27:51 -0700 Subject: [PATCH 0094/1566] [deps] sync ml byod deps with global lock file (#54424) update the versions of more-itertools and stuff Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/ray_release/byod/requirements_ml_byod_3.9.txt | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index 5224116ad6c4..ec23f5745f11 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -480,7 +480,7 @@ click==8.1.7 \ # typer # uvicorn # wandb -cloudpickle==2.2.0 \ +cloudpickle==2.2.0 ; python_version < "3.12" \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via @@ -1916,9 +1916,9 @@ monotonic==1.6 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gsutil -more-itertools==10.1.0 \ - --hash=sha256:626c369fa0eb37bac0291bce8259b332fd59ac792fa5497b59837309cd5b114a \ - --hash=sha256:64e0735fcfdc6f3464ea133afe8ea4483b1c5fe3a3d69852e6503b43a0b222e6 +more-itertools==10.7.0 \ + --hash=sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3 \ + --hash=sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e # via # -c release/ray_release/byod/requirements_compiled.txt # openai-whisper From cdde42ebf5619e24682f580334f8e792b12b137f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 12:28:11 -0700 Subject: [PATCH 0095/1566] [ci] add workspace status script (#54398) and use it to reject '@' character in `HOME` and `USER` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .bazelrc | 2 ++ bazel/workspace_status.sh | 13 +++++++++++++ 2 files changed, 15 insertions(+) create mode 100644 bazel/workspace_status.sh diff --git a/.bazelrc b/.bazelrc index cf0cb435627a..8c2be7ea8586 100644 --- a/.bazelrc +++ b/.bazelrc @@ -1,6 +1,8 @@ # Must be first. Enables build:windows, build:linux, build:macos, build:freebsd, build:openbsd build --enable_platform_specific_config +build:linux --workspace_status_command="bash ./bazel/workspace_status.sh" + # Provides users an option to turn on strict action env. # TODO(aslonnie): make this default; fix the python tests.. build:strict --incompatible_strict_action_env diff --git a/bazel/workspace_status.sh b/bazel/workspace_status.sh new file mode 100644 index 000000000000..dd2b9a1fbe68 --- /dev/null +++ b/bazel/workspace_status.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +set -euo pipefail + +if [[ "${USER:-}" =~ "@" ]]; then + echo "ERROR: \$USER ('${USER:-}') contains invalid char '@'" >&2 + exit 1 +fi + +if [[ "${HOME:-}" =~ "@" ]]; then + echo "ERROR: \$HOME ('${HOME:-}') contains invalid char '@'" >&2 + exit 1 +fi From 8fecbb16f79bdb3dbb71a3d391179065cf99a280 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 8 Jul 2025 14:51:29 -0700 Subject: [PATCH 0096/1566] [serve] add request metadata to can_accept_request (#54429) Add `request_metadata` as a parameter for future use. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index df323fa92b3a..32c8d0f75ea8 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -458,7 +458,7 @@ def _configure_logger_and_profilers( component_id=self._component_id, ) - def _can_accept_request(self) -> bool: + def _can_accept_request(self, request_metadata: RequestMetadata) -> bool: # This replica gates concurrent request handling with an asyncio.Semaphore. # Each in-flight request acquires the semaphore. When the number of ongoing # requests reaches max_ongoing_requests, the semaphore becomes locked. @@ -643,7 +643,7 @@ async def handle_request_with_rejection( self, request_metadata: RequestMetadata, *request_args, **request_kwargs ): # Check if the replica has capacity for the request. - if not self._can_accept_request(): + if not self._can_accept_request(request_metadata): limit = self.max_ongoing_requests logger.warning( f"Replica at capacity of max_ongoing_requests={limit}, " From 35470a5d44b4c3dd8ee8dc0e49ddf38a481fc001 Mon Sep 17 00:00:00 2001 From: Hao Chen Date: Tue, 8 Jul 2025 14:55:56 -0700 Subject: [PATCH 0097/1566] [data] Extract backpressure-related code from ResourceManager as a policy (#54376) * Extract backpressure related methods (`can_submit_new_tasks` and `max_task_output_bytes_to_read`) from ResourceManager, as a standalone policy `ResourceBudgetBackpressurePolicy`) * Report task_output_backpressure_time metric. --------- Signed-off-by: Hao Chen Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 1 - .../execution/backpressure_policy/__init__.py | 16 ++++-- .../backpressure_policy.py | 44 +++++++++++++-- .../concurrency_cap_backpressure_policy.py | 6 +-- .../resource_budget_backpressure_policy.py | 32 +++++++++++ .../interfaces/op_runtime_metrics.py | 18 +++++++ .../execution/interfaces/physical_operator.py | 12 +++++ .../_internal/execution/resource_manager.py | 35 ++++++------ .../_internal/execution/streaming_executor.py | 8 +-- .../execution/streaming_executor_state.py | 50 ++++++++--------- .../data/tests/test_backpressure_policies.py | 6 ++- .../ray/data/tests/test_resource_manager.py | 23 +++++--- python/ray/data/tests/test_stats.py | 19 +++++-- .../ray/data/tests/test_streaming_executor.py | 53 ++++++++++++------- 14 files changed, 230 insertions(+), 93 deletions(-) create mode 100644 python/ray/data/_internal/execution/backpressure_policy/resource_budget_backpressure_policy.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index cda225b46c50..f8ce5c6b3eab 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1202,7 +1202,6 @@ python/ray/data/_internal/execution/streaming_executor_state.py DOC201: Method `OpBufferQueue.has_next` does not have a return section in docstring DOC101: Method `OpState.get_output_blocking`: Docstring contains fewer arguments than in function signature. DOC103: Method `OpState.get_output_blocking`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [output_split_idx: Optional[int]]. - DOC103: Function `process_completed_tasks`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [resource_manager: ResourceManager]. Arguments in the docstring but not in the function signature: [backpressure_policies: ]. -------------------- python/ray/data/_internal/iterator/stream_split_iterator.py DOC101: Method `SplitCoordinator.start_epoch`: Docstring contains fewer arguments than in function signature. diff --git a/python/ray/data/_internal/execution/backpressure_policy/__init__.py b/python/ray/data/_internal/execution/backpressure_policy/__init__.py index a9d6ac177e97..e08fd3a5f55b 100644 --- a/python/ray/data/_internal/execution/backpressure_policy/__init__.py +++ b/python/ray/data/_internal/execution/backpressure_policy/__init__.py @@ -1,27 +1,33 @@ -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, List -import ray from .backpressure_policy import BackpressurePolicy from .concurrency_cap_backpressure_policy import ConcurrencyCapBackpressurePolicy +from .resource_budget_backpressure_policy import ResourceBudgetBackpressurePolicy +from ray.data.context import DataContext if TYPE_CHECKING: + from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.execution.streaming_executor_state import Topology # Default enabled backpressure policies and its config key. # Use `DataContext.set_config` to config it. ENABLED_BACKPRESSURE_POLICIES = [ ConcurrencyCapBackpressurePolicy, + ResourceBudgetBackpressurePolicy, ] ENABLED_BACKPRESSURE_POLICIES_CONFIG_KEY = "backpressure_policies.enabled" -def get_backpressure_policies(topology: "Topology"): - data_context = ray.data.DataContext.get_current() +def get_backpressure_policies( + data_context: DataContext, + topology: "Topology", + resource_manager: "ResourceManager", +) -> List[BackpressurePolicy]: policies = data_context.get_config( ENABLED_BACKPRESSURE_POLICIES_CONFIG_KEY, ENABLED_BACKPRESSURE_POLICIES ) - return [policy(topology) for policy in policies] + return [policy(data_context, topology, resource_manager) for policy in policies] __all__ = [ diff --git a/python/ray/data/_internal/execution/backpressure_policy/backpressure_policy.py b/python/ray/data/_internal/execution/backpressure_policy/backpressure_policy.py index 6577936e1dd6..6ec31c474c41 100644 --- a/python/ray/data/_internal/execution/backpressure_policy/backpressure_policy.py +++ b/python/ray/data/_internal/execution/backpressure_policy/backpressure_policy.py @@ -1,19 +1,35 @@ -from abc import ABC, abstractmethod -from typing import TYPE_CHECKING +from abc import ABC +from typing import TYPE_CHECKING, Optional + +from ray.data.context import DataContext if TYPE_CHECKING: from ray.data._internal.execution.interfaces.physical_operator import ( PhysicalOperator, ) + from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.execution.streaming_executor_state import Topology class BackpressurePolicy(ABC): """Interface for back pressure policies.""" - @abstractmethod - def __init__(self, topology: "Topology"): - ... + def __init__( + self, + data_context: DataContext, + topology: "Topology", + resource_manager: "ResourceManager", + ): + """Initialize the backpressure policy. + + Args: + data_context: The data context. + topology: The execution topology. + resource_manager: The resource manager. + """ + self._data_context = data_context + self._topology = topology + self._resource_manager = resource_manager def can_add_input(self, op: "PhysicalOperator") -> bool: """Determine if we can add a new input to the operator. If returns False, the @@ -26,3 +42,21 @@ def can_add_input(self, op: "PhysicalOperator") -> bool: backpressured if any of the policies returns False. """ return True + + def max_task_output_bytes_to_read(self, op: "PhysicalOperator") -> Optional[int]: + """Return the maximum bytes of pending task outputs can be read for + the given operator. None means no limit. + + This is used for output backpressure to limit how much data an operator + can read from its running tasks. + + Note, if multiple backpressure policies return non-None values for an operator, + the minimum of those values will be used as the limit. + + Args: + op: The operator to get the limit for. + + Returns: + The maximum bytes that can be read, or None if no limit. + """ + return None diff --git a/python/ray/data/_internal/execution/backpressure_policy/concurrency_cap_backpressure_policy.py b/python/ray/data/_internal/execution/backpressure_policy/concurrency_cap_backpressure_policy.py index a52bd1f6ab9f..77b7d17b0b0a 100644 --- a/python/ray/data/_internal/execution/backpressure_policy/concurrency_cap_backpressure_policy.py +++ b/python/ray/data/_internal/execution/backpressure_policy/concurrency_cap_backpressure_policy.py @@ -10,7 +10,6 @@ from ray.data._internal.execution.interfaces.physical_operator import ( PhysicalOperator, ) - from ray.data._internal.execution.streaming_executor_state import Topology logger = logging.getLogger(__name__) @@ -25,10 +24,11 @@ class ConcurrencyCapBackpressurePolicy(BackpressurePolicy): TODO(chengsu): Consolidate with actor scaling logic of `ActorPoolMapOperator`. """ - def __init__(self, topology: "Topology"): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) self._concurrency_caps: dict["PhysicalOperator", float] = {} - for op, _ in topology.items(): + for op, _ in self._topology.items(): if isinstance(op, TaskPoolMapOperator) and op.get_concurrency() is not None: self._concurrency_caps[op] = op.get_concurrency() else: diff --git a/python/ray/data/_internal/execution/backpressure_policy/resource_budget_backpressure_policy.py b/python/ray/data/_internal/execution/backpressure_policy/resource_budget_backpressure_policy.py new file mode 100644 index 000000000000..b97818d7b05d --- /dev/null +++ b/python/ray/data/_internal/execution/backpressure_policy/resource_budget_backpressure_policy.py @@ -0,0 +1,32 @@ +import logging +from typing import TYPE_CHECKING, Optional + +from .backpressure_policy import BackpressurePolicy + +if TYPE_CHECKING: + from ray.data._internal.execution.interfaces.physical_operator import ( + PhysicalOperator, + ) + +logger = logging.getLogger(__name__) + + +class ResourceBudgetBackpressurePolicy(BackpressurePolicy): + """A backpressure policy based on resource budgets in ResourceManager.""" + + def can_add_input(self, op: "PhysicalOperator") -> bool: + budget = self._resource_manager.get_budget(op) + if budget is None: + return True + return op.incremental_resource_usage().satisfies_limit(budget) + + def max_task_output_bytes_to_read(self, op: "PhysicalOperator") -> Optional[int]: + """Determine maximum bytes to read based on the resource budgets. + + Args: + op: The operator to get the limit for. + + Returns: + The maximum bytes that can be read, or None if no limit. + """ + return self._resource_manager.max_task_output_bytes_to_read(op) diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index 29c8988e2a37..b470c717332c 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -358,6 +358,11 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): description="Time spent in task submission backpressure.", metrics_group=MetricsGroup.TASKS, ) + task_output_backpressure_time: float = metric_field( + default=0, + description="Time spent in task output backpressure.", + metrics_group=MetricsGroup.TASKS, + ) histogram_buckets_s = [ 0.1, 0.25, @@ -446,6 +451,8 @@ def __init__(self, op: "PhysicalOperator"): self._extra_metrics: Dict[str, Any] = {} # Start time of current pause due to task submission backpressure self._task_submission_backpressure_start_time = -1 + # Start time of current pause due to task output backpressure + self._task_output_backpressure_start_time = -1 self._internal_inqueue = create_bundle_queue() self._internal_outqueue = create_bundle_queue() @@ -667,6 +674,17 @@ def on_toggle_task_submission_backpressure(self, in_backpressure): ) self._task_submission_backpressure_start_time = -1 + def on_toggle_task_output_backpressure(self, in_backpressure): + if in_backpressure and self._task_output_backpressure_start_time == -1: + # backpressure starting, start timer + self._task_output_backpressure_start_time = time.perf_counter() + elif self._task_output_backpressure_start_time != -1: + # backpressure stopping, stop timer + self.task_output_backpressure_time += ( + time.perf_counter() - self._task_output_backpressure_start_time + ) + self._task_output_backpressure_start_time = -1 + def on_output_taken(self, output: RefBundle): """Callback when an output is taken from the operator.""" self.num_outputs_taken += 1 diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index baf8044a8f8d..78340f607d49 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -633,6 +633,18 @@ def notify_in_task_submission_backpressure(self, in_backpressure: bool) -> None: self._metrics.on_toggle_task_submission_backpressure(in_backpressure) self._in_task_submission_backpressure = in_backpressure + def notify_in_task_output_backpressure(self, in_backpressure: bool) -> None: + """Called periodically from the executor to update internal output backpressure + status for stats collection purposes. + + Args: + in_backpressure: Value this operator's output backpressure should be set to. + """ + # only update on change to in_backpressure + if self._in_task_output_backpressure != in_backpressure: + self._metrics.on_toggle_task_output_backpressure(in_backpressure) + self._in_task_output_backpressure = in_backpressure + def get_autoscaling_actor_pools(self) -> List[AutoscalingActorPool]: """Return a list of `AutoscalingActorPool`s managed by this operator.""" return [] diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index fbe4081926ae..57bc4c7e7cce 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -306,6 +306,20 @@ def op_resource_allocator(self) -> "OpResourceAllocator": assert self._op_resource_allocator is not None return self._op_resource_allocator + def max_task_output_bytes_to_read(self, op: PhysicalOperator) -> Optional[int]: + """Return the maximum bytes of pending task outputs can be read for + the given operator. None means no limit.""" + if self._op_resource_allocator is None: + return None + return self._op_resource_allocator.max_task_output_bytes_to_read(op) + + def get_budget(self, op: PhysicalOperator) -> Optional[ExecutionResources]: + """Return the budget for the given operator, or None if the operator + has unlimited budget.""" + if self._op_resource_allocator is None: + return None + return self._op_resource_allocator.get_budget(op) + class OpResourceAllocator(ABC): """An interface for dynamic operator resource allocation. @@ -323,11 +337,6 @@ def update_usages(self): """Callback to update resource usages.""" ... - @abstractmethod - def can_submit_new_task(self, op: PhysicalOperator) -> bool: - """Return whether the given operator can submit a new task.""" - ... - @abstractmethod def max_task_output_bytes_to_read(self, op: PhysicalOperator) -> Optional[int]: """Return the maximum bytes of pending task outputs can be read for @@ -335,8 +344,9 @@ def max_task_output_bytes_to_read(self, op: PhysicalOperator) -> Optional[int]: ... @abstractmethod - def get_budget(self, op: PhysicalOperator) -> ExecutionResources: - """Return the budget for the given operator.""" + def get_budget(self, op: PhysicalOperator) -> Optional[ExecutionResources]: + """Return the budget for the given operator, or None if the operator + has unlimited budget.""" ... @@ -542,15 +552,8 @@ def _update_reservation(self): self._total_shared = remaining - def can_submit_new_task(self, op: PhysicalOperator) -> bool: - if op not in self._op_budgets: - return True - budget = self._op_budgets[op] - res = op.incremental_resource_usage().satisfies_limit(budget) - return res - - def get_budget(self, op: PhysicalOperator) -> ExecutionResources: - return self._op_budgets[op] + def get_budget(self, op: PhysicalOperator) -> Optional[ExecutionResources]: + return self._op_budgets.get(op, None) def _should_unblock_streaming_output_backpressure( self, op: PhysicalOperator diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index 156f2b790efe..b686c5f1b5fd 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -139,7 +139,9 @@ def execute( lambda: self._autoscaler.get_total_resources(), self._data_context, ) - self._backpressure_policies = get_backpressure_policies(self._topology) + self._backpressure_policies = get_backpressure_policies( + self._data_context, self._topology, self._resource_manager + ) self._autoscaler = create_autoscaler( self._topology, self._resource_manager, @@ -147,7 +149,7 @@ def execute( execution_id=self._dataset_id, ) - self._has_op_completed = {op: False for op in self._topology} + self._has_op_completed = dict.fromkeys(self._topology, False) self._output_node = dag, self._topology[dag] @@ -337,7 +339,7 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: # greater parallelism. num_errored_blocks = process_completed_tasks( topology, - self._resource_manager, + self._backpressure_policies, self._max_errored_blocks, ) if self._max_errored_blocks > 0: diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 73f08108d9bb..c075cbfa53d1 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -428,7 +428,7 @@ def setup_state(op: PhysicalOperator) -> OpState: def process_completed_tasks( topology: Topology, - resource_manager: ResourceManager, + backpressure_policies: List[BackpressurePolicy], max_errored_blocks: int, ) -> int: """Process any newly completed tasks. To update operator @@ -450,14 +450,22 @@ def process_completed_tasks( active_tasks[task.get_waitable()] = (state, task) max_bytes_to_read_per_op: Dict[OpState, int] = {} - if resource_manager.op_resource_allocator_enabled(): - for op, state in topology.items(): - max_bytes_to_read = ( - resource_manager.op_resource_allocator.max_task_output_bytes_to_read(op) - ) - op._in_task_output_backpressure = max_bytes_to_read == 0 - if max_bytes_to_read is not None: - max_bytes_to_read_per_op[state] = max_bytes_to_read + for op, state in topology.items(): + # Check all backpressure policies for max_task_output_bytes_to_read + # Use the minimum limit from all policies (most restrictive) + max_bytes_to_read = None + for policy in backpressure_policies: + policy_limit = policy.max_task_output_bytes_to_read(op) + if policy_limit is not None: + if max_bytes_to_read is None: + max_bytes_to_read = policy_limit + else: + max_bytes_to_read = min(max_bytes_to_read, policy_limit) + + # If no policy provides a limit, there's no limit + op.notify_in_task_output_backpressure(max_bytes_to_read == 0) + if max_bytes_to_read is not None: + max_bytes_to_read_per_op[state] = max_bytes_to_read # Process completed Ray tasks and notify operators. num_errored_blocks = 0 @@ -471,7 +479,7 @@ def process_completed_tasks( # Organize tasks by the operator they belong to, and sort them by task index. # So that we'll process them in a deterministic order. - # This is because OpResourceAllocator may limit the number of blocks to read + # This is because backpressure policies may limit the number of blocks to read # per operator. In this case, we want to have fewer tasks finish quickly and # yield resources, instead of having all tasks output blocks together. ready_tasks_by_op = defaultdict(list) @@ -567,7 +575,6 @@ def update_operator_states(topology: Topology) -> None: def get_eligible_operators( topology: Topology, backpressure_policies: List[BackpressurePolicy], - resource_manager: ResourceManager, *, ensure_liveness: bool, ) -> List[PhysicalOperator]: @@ -590,20 +597,9 @@ def get_eligible_operators( eligible_ops: List[PhysicalOperator] = [] for op, state in topology.items(): - assert resource_manager.op_resource_allocator_enabled(), topology - - # Check whether the operator is under its limits imposed by the - # resource manager - under_resource_limits = ( - resource_manager.op_resource_allocator.can_submit_new_task(op) - ) - # Operator is considered being in task-submission back-pressure if - # both of the following holds true: - # - It's exceeding its resource limits - # - At least one of the back-pressure policies are violated - in_backpressure = not under_resource_limits or not all( - p.can_add_input(op) for p in backpressure_policies - ) + # Operator is considered being in task-submission back-pressure if any + # back-pressure policy is violated + in_backpressure = any(not p.can_add_input(op) for p in backpressure_policies) op_runnable = False @@ -625,10 +621,11 @@ def get_eligible_operators( # Update scheduling status state._scheduling_status = OpSchedulingStatus( runnable=op_runnable, - under_resource_limits=under_resource_limits, + under_resource_limits=not in_backpressure, ) # Signal whether op in backpressure for stats collections + # TODO(hchen): also report which policy triggers backpressure. op.notify_in_task_submission_backpressure(in_backpressure) # To ensure liveness, allow at least 1 operator to schedule tasks regardless of @@ -665,7 +662,6 @@ def select_operator_to_run( eligible_ops = get_eligible_operators( topology, backpressure_policies, - resource_manager, ensure_liveness=ensure_liveness, ) diff --git a/python/ray/data/tests/test_backpressure_policies.py b/python/ray/data/tests/test_backpressure_policies.py index 57c18c39faea..4ffc67672baf 100644 --- a/python/ray/data/tests/test_backpressure_policies.py +++ b/python/ray/data/tests/test_backpressure_policies.py @@ -62,7 +62,11 @@ def test_basic(self): map_op_no_concurrency: MagicMock(), } - policy = ConcurrencyCapBackpressurePolicy(topology) + policy = ConcurrencyCapBackpressurePolicy( + DataContext.get_current(), + topology, + MagicMock(), + ) self.assertEqual(policy._concurrency_caps[map_op], concurrency) self.assertTrue(math.isinf(policy._concurrency_caps[input_op])) diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index 792021b9a928..7ae70f166efc 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -337,8 +337,8 @@ def test_basic(self, restore_data_context): o4 = LimitOperator(1, o3, DataContext.get_current()) op_usages = {op: ExecutionResources.zero() for op in [o1, o2, o3, o4]} - op_internal_usage = {op: 0 for op in [o1, o2, o3, o4]} - op_outputs_usages = {op: 0 for op in [o1, o2, o3, o4]} + op_internal_usage = dict.fromkeys([o1, o2, o3, o4], 0) + op_outputs_usages = dict.fromkeys([o1, o2, o3, o4], 0) topo, _ = build_streaming_topology(o4, ExecutionOptions()) @@ -348,6 +348,13 @@ def mock_get_global_limits(): nonlocal global_limits return global_limits + def can_submit_new_task(allocator, op): + """Helper to check if operator can submit new tasks based on budget.""" + budget = allocator.get_budget(op) + if budget is None: + return True + return op.incremental_resource_usage().satisfies_limit(budget) + resource_manager = ResourceManager( topo, ExecutionOptions(), MagicMock(), DataContext.get_current() ) @@ -391,8 +398,8 @@ def mock_get_global_limits(): assert allocator._op_budgets[o2] == ExecutionResources(8, float("inf"), 375) assert allocator._op_budgets[o3] == ExecutionResources(8, float("inf"), 375) # Test can_submit_new_task and max_task_output_bytes_to_read. - assert allocator.can_submit_new_task(o2) - assert allocator.can_submit_new_task(o3) + assert can_submit_new_task(allocator, o2) + assert can_submit_new_task(allocator, o3) assert allocator.max_task_output_bytes_to_read(o2) == 500 assert allocator.max_task_output_bytes_to_read(o3) == 500 @@ -422,8 +429,8 @@ def mock_get_global_limits(): # memory_budget[o3] = 95 + 225/2 = 207.5 assert allocator._op_budgets[o3] == ExecutionResources(5, float("inf"), 207.5) # Test can_submit_new_task and max_task_output_bytes_to_read. - assert allocator.can_submit_new_task(o2) - assert allocator.can_submit_new_task(o3) + assert can_submit_new_task(allocator, o2) + assert can_submit_new_task(allocator, o3) # max_task_output_bytes_to_read(o2) = 112.5 + 25 = 137.5 # (will be rounded down). assert allocator.max_task_output_bytes_to_read(o2) == 137 @@ -458,8 +465,8 @@ def mock_get_global_limits(): # memory_budget[o3] = 70 + 100/2 = 120 assert allocator._op_budgets[o3] == ExecutionResources(2.5, float("inf"), 120) # Test can_submit_new_task and max_task_output_bytes_to_read. - assert allocator.can_submit_new_task(o2) - assert allocator.can_submit_new_task(o3) + assert can_submit_new_task(allocator, o2) + assert can_submit_new_task(allocator, o3) # max_task_output_bytes_to_read(o2) = 50 + 0 = 50 assert allocator.max_task_output_bytes_to_read(o2) == 50 # max_task_output_bytes_to_read(o3) = 120 + 25 = 145 diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index be8310a0ce62..69ba4bb6b22b 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -24,7 +24,6 @@ ) from ray.data._internal.execution.interfaces.op_runtime_metrics import TaskDurationStats from ray.data._internal.execution.interfaces.physical_operator import PhysicalOperator -from ray.data._internal.execution.streaming_executor_state import Topology from ray.data._internal.stats import ( DatasetStats, NodeMetrics, @@ -68,6 +67,7 @@ def gen_expected_metrics( is_map: bool, spilled: bool = False, task_backpressure: bool = False, + task_output_backpressure: bool = False, extra_metrics: Optional[List[str]] = None, ): if is_map: @@ -104,6 +104,10 @@ def gen_expected_metrics( "'task_submission_backpressure_time': " f"{'N' if task_backpressure else 'Z'}" ), + ( + "'task_output_backpressure_time': " + f"{'N' if task_output_backpressure else 'Z'}" + ), ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), "'num_alive_actors': Z", "'num_restarting_actors': Z", @@ -130,6 +134,10 @@ def gen_expected_metrics( "'task_submission_backpressure_time': " f"{'N' if task_backpressure else 'Z'}" ), + ( + "'task_output_backpressure_time': " + f"{'N' if task_output_backpressure else 'Z'}" + ), ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), "'num_alive_actors': Z", "'num_restarting_actors': Z", @@ -187,6 +195,7 @@ def gen_runtime_metrics_str(op_names: List[str], verbose: bool) -> str: is_map=True, spilled=False, task_backpressure=True, + task_output_backpressure=True, extra_metrics=[ "'ray_remote_args': {'num_cpus': N, 'scheduling_strategy': 'DEFAULT'}" ], @@ -414,6 +423,8 @@ def test_large_args_scheduling_strategy( f" * Estimated single node throughput: N rows/s\n" f"{gen_runtime_metrics_str(['ReadRange','MapBatches(dummy_map_batches)'], verbose_stats_logs)}" # noqa: E501 ) + print(canonicalize(stats)) + print(expected_stats) assert canonicalize(stats) == expected_stats @@ -622,6 +633,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " num_tasks_failed: Z,\n" " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" + " task_output_backpressure_time: Z,\n" " task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" @@ -743,6 +755,7 @@ def check_stats(): " num_tasks_failed: Z,\n" " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" + " task_output_backpressure_time: Z,\n" " task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" @@ -819,6 +832,7 @@ def check_stats(): " num_tasks_failed: Z,\n" " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" + " task_output_backpressure_time: Z,\n" " task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" @@ -1371,9 +1385,6 @@ def test_time_backpressure(ray_start_regular_shared, restore_data_context): class TimedBackpressurePolicy(BackpressurePolicy): COUNT = 0 - def __init__(self, topology: "Topology"): - pass - def can_add_input(self, op: "PhysicalOperator") -> bool: if TimedBackpressurePolicy.COUNT > 1: time.sleep(0.01) diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index 8da761437907..e3aea99ab722 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -10,6 +10,7 @@ from ray._private.test_utils import run_string_as_driver_nonblocking from ray.data._internal.datasource.parquet_datasink import ParquetDatasink from ray.data._internal.datasource.parquet_datasource import ParquetDatasource +from ray.data._internal.execution.backpressure_policy import BackpressurePolicy from ray.data._internal.execution.execution_callback import ( EXECUTION_CALLBACKS_ENV_VAR, ExecutionCallback, @@ -164,8 +165,7 @@ def test_process_completed_tasks(sleep_task_ref): # Test processing output bundles. assert len(topo[o1].output_queue) == 0, topo - resource_manager = mock_resource_manager() - process_completed_tasks(topo, resource_manager, 0) + process_completed_tasks(topo, [], 0) update_operator_states(topo) assert len(topo[o1].output_queue) == 20, topo @@ -177,7 +177,7 @@ def test_process_completed_tasks(sleep_task_ref): o2.get_active_tasks = MagicMock(return_value=[sleep_task, done_task]) o2.all_inputs_done = MagicMock() o1.mark_execution_finished = MagicMock() - process_completed_tasks(topo, resource_manager, 0) + process_completed_tasks(topo, [], 0) update_operator_states(topo) sleep_task_callback.assert_not_called() done_task_callback.assert_called_once() @@ -192,7 +192,7 @@ def test_process_completed_tasks(sleep_task_ref): o1.mark_execution_finished = MagicMock() o1.completed = MagicMock(return_value=True) topo[o1].output_queue.clear() - process_completed_tasks(topo, resource_manager, 0) + process_completed_tasks(topo, [], 0) update_operator_states(topo) done_task_callback.assert_called_once() o2.all_inputs_done.assert_called_once() @@ -214,7 +214,7 @@ def test_process_completed_tasks(sleep_task_ref): o3.mark_execution_finished() o2.mark_execution_finished = MagicMock() - process_completed_tasks(topo, resource_manager, 0) + process_completed_tasks(topo, [], 0) update_operator_states(topo) o2.mark_execution_finished.assert_called_once() @@ -249,9 +249,7 @@ def test_get_eligible_operators_to_run(): ) def _get_eligible_ops_to_run(ensure_liveness: bool): - return get_eligible_operators( - topo, [], resource_manager, ensure_liveness=ensure_liveness - ) + return get_eligible_operators(topo, [], ensure_liveness=ensure_liveness) # Test empty. assert _get_eligible_ops_to_run(ensure_liveness=False) == [] @@ -278,20 +276,35 @@ def _get_eligible_ops_to_run(ensure_liveness: bool): assert _get_eligible_ops_to_run(ensure_liveness=False) == [o2] # `o2` operator is now back-pressured - with patch.object( - resource_manager.op_resource_allocator, "can_submit_new_task" - ) as _mock: - _mock.side_effect = lambda op: False if op is o2 else True - assert _get_eligible_ops_to_run(ensure_liveness=False) == [o3] + class TestBackpressurePolicy(BackpressurePolicy): + def __init__(self, op_to_block): + self._op_to_block = op_to_block + + def can_add_input(self, op): + if op is self._op_to_block: + return False + return True + + def max_task_output_bytes_to_read(self, op): + return None - # Complete `o3` - with patch.object(o3, "completed") as _mock: - _mock.return_value = True - # Clear up input queue - topo[o3].input_queues[0].clear() + test_policy = TestBackpressurePolicy(o2) + + def _get_eligible_ops_to_run_with_policy(ensure_liveness: bool): + return get_eligible_operators( + topo, [test_policy], ensure_liveness=ensure_liveness + ) + + assert _get_eligible_ops_to_run_with_policy(ensure_liveness=False) == [o3] + + # Complete `o3` + with patch.object(o3, "completed") as _mock: + _mock.return_value = True + # Clear up input queue + topo[o3].input_queues[0].clear() - # To ensure liveness back-pressure limits will be ignored - assert _get_eligible_ops_to_run(ensure_liveness=True) == [o2] + # To ensure liveness back-pressure limits will be ignored + assert _get_eligible_ops_to_run_with_policy(ensure_liveness=True) == [o2] def test_rank_operators(): From 7ed427abc954af8ad8ca430f561550435a1fc855 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Tue, 8 Jul 2025 15:15:39 -0700 Subject: [PATCH 0098/1566] [train][doc] ray.train.report api docs should mention optional checkpoint_dir_name (#54391) --------- Signed-off-by: Timothy Seah Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 ---- python/ray/train/v2/api/train_fn_utils.py | 5 +++++ 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index f8ce5c6b3eab..23ccf8945493 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -2126,10 +2126,6 @@ python/ray/train/v2/api/context.py DOC201: Method `TrainContext.get_local_world_size` does not have a return section in docstring DOC201: Method `TrainContext.get_node_rank` does not have a return section in docstring -------------------- -python/ray/train/v2/api/train_fn_utils.py - DOC101: Function `report`: Docstring contains fewer arguments than in function signature. - DOC103: Function `report`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint_dir_name: Optional[str]]. --------------------- python/ray/train/v2/lightgbm/lightgbm_trainer.py DOC101: Method `LightGBMTrainer.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `LightGBMTrainer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [label_column: Optional[str], num_boost_round: Optional[int], params: Optional[Dict[str, Any]]]. diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index c713ab4234ad..6266f9441b42 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -81,6 +81,11 @@ def train_func(config): Args: metrics: The metrics you want to report. checkpoint: The optional checkpoint you want to report. + checkpoint_dir_name: Custom name for the checkpoint directory. + If not provided, a unique directory name will be automatically generated. + If provided, it must be unique across all checkpoints per worker to avoid + naming collisions. Consider including identifiers such as the epoch or batch + index in the name. """ get_train_context().report( From 1bc8f816cd866ccb06cb97e7a8fc470b21c8367d Mon Sep 17 00:00:00 2001 From: Vignesh Hirudayakanth Date: Tue, 8 Jul 2025 15:49:16 -0700 Subject: [PATCH 0099/1566] Update google tag container id (#54444) We don't have access to the previous tag manager and can't edit event collection. This new one works ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Vignesh Hirudayakanth Signed-off-by: Douglas Strodtman --- doc/source/_templates/extrahead.html | 7 +------ .../notebooks/anyscale-jobs-docs/Job_schedules.html | 4 ++-- 2 files changed, 3 insertions(+), 8 deletions(-) diff --git a/doc/source/_templates/extrahead.html b/doc/source/_templates/extrahead.html index f752ff84d88e..26f9defb4243 100644 --- a/doc/source/_templates/extrahead.html +++ b/doc/source/_templates/extrahead.html @@ -39,11 +39,6 @@ - - - diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/anyscale-jobs-docs/Job_schedules.html b/doc/source/ray-overview/examples/e2e-rag/notebooks/anyscale-jobs-docs/Job_schedules.html index cabebe0ca0df..22aeaaf13a9e 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/anyscale-jobs-docs/Job_schedules.html +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/anyscale-jobs-docs/Job_schedules.html @@ -6,7 +6,7 @@ Create and manage jobs | Anyscale Docs - + @@ -14,7 +14,7 @@ - +

Create and manage jobs

Submitting a job​

From ed23f65f4c8e727f659aecb7cf6028cbabf8f329 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 8 Jul 2025 19:21:17 -0400 Subject: [PATCH 0100/1566] [Data] Avoid OOMs with `read_json(..., lines=True)` (#54436) ## Why are these changes needed? `read_json(..., lines=True)` uses pandas to read batches of data. The issue is that the batch size is always set to 10000 rows per batch, and this can cause OOMs if each line is large (e.g., a line might contain bytes for a 8 MiB image). To avoid OOMs, this PR updates the implementation to sample a row and infer the appropriate batch size. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../_internal/datasource/json_datasource.py | 150 +++++++++++------- python/ray/data/read_api.py | 29 +++- python/ray/data/tests/test_json.py | 57 +++++++ 3 files changed, 171 insertions(+), 65 deletions(-) diff --git a/python/ray/data/_internal/datasource/json_datasource.py b/python/ray/data/_internal/datasource/json_datasource.py index d079bd3721b7..6dd65c7c5130 100644 --- a/python/ray/data/_internal/datasource/json_datasource.py +++ b/python/ray/data/_internal/datasource/json_datasource.py @@ -1,9 +1,11 @@ import logging from io import BytesIO -from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union + +import pandas as pd from ray.air.util.tensor_extensions.arrow import pyarrow_table_from_pydict -from ray.data.block import DataBatch +from ray.data._internal.pandas_block import PandasBlockAccessor from ray.data.context import DataContext from ray.data.datasource.file_based_datasource import FileBasedDatasource @@ -12,34 +14,30 @@ logger = logging.getLogger(__name__) -# TODO(rliaw): Arbitrarily chosen. Make this configurable -_JSONL_ROWS_PER_CHUNK = 10000 - - -class JSONDatasource(FileBasedDatasource): +JSON_FILE_EXTENSIONS = [ + "json", + "jsonl", + # gzip-compressed files + "json.gz", + "jsonl.gz", + # Brotli-compressed fi;es + "json.br", + "jsonl.br", + # Zstandard-compressed files + "json.zst", + "jsonl.zst", + # lz4-compressed files + "json.lz4", + "jsonl.lz4", +] + + +class ArrowJSONDatasource(FileBasedDatasource): """JSON datasource, for reading and writing JSON and JSONL files.""" - _FILE_EXTENSIONS = [ - "json", - "jsonl", - # gzip-compressed files - "json.gz", - "jsonl.gz", - # Brotli-compressed fi;es - "json.br", - "jsonl.br", - # Zstandard-compressed files - "json.zst", - "jsonl.zst", - # lz4-compressed files - "json.lz4", - "jsonl.lz4", - ] - def __init__( self, paths: Union[str, List[str]], - is_jsonl: bool = False, *, arrow_json_args: Optional[Dict[str, Any]] = None, **file_based_datasource_kwargs, @@ -48,38 +46,20 @@ def __init__( super().__init__(paths, **file_based_datasource_kwargs) - self.is_jsonl = is_jsonl - if arrow_json_args is None: arrow_json_args = {} + self.read_options = arrow_json_args.pop( "read_options", json.ReadOptions(use_threads=False) ) self.arrow_json_args = arrow_json_args - def _read_jsonlines_pandas( - self, buffer: "pyarrow.lib.Buffer" - ) -> Iterable[DataBatch]: - """Read JSONL files with pandas.""" - import pandas as pd - - reader = pd.read_json( - BytesIO(buffer), - chunksize=_JSONL_ROWS_PER_CHUNK, - lines=True, - ) - for df in reader: - # Note: PandasBlockAccessor doesn't support RangeIndex, so we need to convert - # to string. - if isinstance(df.columns, pd.RangeIndex): - df.columns = df.columns.astype(str) - yield df - def _read_with_pyarrow_read_json(self, buffer: "pyarrow.lib.Buffer"): """Read with PyArrow JSON reader, trying to auto-increase the read block size in the case of the read object straddling block boundaries.""" import pyarrow as pa + import pyarrow.json as pajson # When reading large files, the default block size configured in PyArrow can be # too small, resulting in the following error: `pyarrow.lib.ArrowInvalid: @@ -101,7 +81,7 @@ def _read_with_pyarrow_read_json(self, buffer: "pyarrow.lib.Buffer"): max_block_size = DataContext.get_current().target_max_block_size while True: try: - yield pa.json.read_json( + yield pajson.read_json( BytesIO(buffer), read_options=self.read_options, **self.arrow_json_args, @@ -166,16 +146,68 @@ def _read_stream(self, f: "pyarrow.NativeFile", path: str): buffer: pa.lib.Buffer = f.read_buffer() - if self.is_jsonl: - yield from self._read_jsonlines_pandas(buffer) - else: - try: - yield from self._read_with_pyarrow_read_json(buffer) - except pa.ArrowInvalid as e: - # If read with PyArrow fails, try falling back to native json.load(). - logger.warning( - f"Error reading with pyarrow.json.read_json(). " - f"Falling back to native json.load(), which may be slower. " - f"PyArrow error was:\n{e}" - ) - yield from self._read_with_python_json(buffer) + try: + yield from self._read_with_pyarrow_read_json(buffer) + except pa.ArrowInvalid as e: + # If read with PyArrow fails, try falling back to native json.load(). + logger.warning( + f"Error reading with pyarrow.json.read_json(). " + f"Falling back to native json.load(), which may be slower. " + f"PyArrow error was:\n{e}" + ) + yield from self._read_with_python_json(buffer) + + +class PandasJSONDatasource(FileBasedDatasource): + def __init__( + self, + paths: Union[str, List[str]], + target_output_size_bytes: int, + **file_based_datasource_kwargs, + ): + super().__init__(paths, **file_based_datasource_kwargs) + + self._target_output_size_bytes = target_output_size_bytes + + def _read_stream(self, f: "pyarrow.NativeFile", path: str): + chunksize = self._estimate_chunksize(f) + with pd.read_json(f, chunksize=chunksize, lines=True) as reader: + for df in reader: + yield _cast_range_index_to_string(df) + + def _estimate_chunksize(self, f: "pyarrow.NativeFile") -> int: + assert f.tell() == 0, "File pointer must be at the beginning" + + with pd.read_json(f, chunksize=1, lines=True) as reader: + df = _cast_range_index_to_string(next(reader)) + + block_accessor = PandasBlockAccessor.for_block(df) + if block_accessor.num_rows() == 0: + return 1 + + bytes_per_row = block_accessor.size_bytes() / block_accessor.num_rows() + chunksize = max(round(self._target_output_size_bytes / bytes_per_row), 1) + + # Reset file pointer to the beginning. + f.seek(0) + + return chunksize + + def _open_input_source( + self, + filesystem: "pyarrow.fs.FileSystem", + path: str, + **open_args, + ) -> "pyarrow.NativeFile": + # Use seekable file to ensure we can correctly sample the first row. + file = filesystem.open_input_file(path, **open_args) + assert file.seekable(), "File must be seekable" + return file + + +def _cast_range_index_to_string(df: pd.DataFrame): + # NOTE: PandasBlockAccessor doesn't support RangeIndex, so we need to convert + # to string. + if isinstance(df.columns, pd.RangeIndex): + df.columns = df.columns.astype(str) + return df diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 7600a39b9148..ec7b2ba6e26c 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -37,7 +37,11 @@ ImageDatasource, ImageFileMetadataProvider, ) -from ray.data._internal.datasource.json_datasource import JSONDatasource +from ray.data._internal.datasource.json_datasource import ( + JSON_FILE_EXTENSIONS, + ArrowJSONDatasource, + PandasJSONDatasource, +) from ray.data._internal.datasource.lance_datasource import LanceDatasource from ray.data._internal.datasource.mongo_datasource import MongoDatasource from ray.data._internal.datasource.numpy_datasource import NumpyDatasource @@ -1277,7 +1281,7 @@ def read_json( include_paths: bool = False, ignore_missing_paths: bool = False, shuffle: Optional[Union[Literal["files"], FileShuffleConfig]] = None, - file_extensions: Optional[List[str]] = JSONDatasource._FILE_EXTENSIONS, + file_extensions: Optional[List[str]] = JSON_FILE_EXTENSIONS, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, **arrow_json_args, @@ -1399,10 +1403,7 @@ def read_json( if meta_provider is None: meta_provider = DefaultFileMetadataProvider() - datasource = JSONDatasource( - paths, - is_jsonl=lines, - arrow_json_args=arrow_json_args, + file_based_datasource_kwargs = dict( filesystem=filesystem, open_stream_args=arrow_open_stream_args, meta_provider=meta_provider, @@ -1413,6 +1414,22 @@ def read_json( include_paths=include_paths, file_extensions=file_extensions, ) + if lines: + target_output_size_bytes = ( + ray.data.context.DataContext.get_current().target_max_block_size + ) + datasource = PandasJSONDatasource( + paths, + target_output_size_bytes=target_output_size_bytes, + **file_based_datasource_kwargs, + ) + else: + datasource = ArrowJSONDatasource( + paths, + arrow_json_args=arrow_json_args, + **file_based_datasource_kwargs, + ) + return read_datasource( datasource, parallelism=parallelism, diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index c6ad4f0988fb..ca1e26d64664 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -6,12 +6,15 @@ import pandas as pd import pyarrow as pa +import pyarrow.fs as fs import pyarrow.json as pajson import pytest from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.data import Schema +from ray.data._internal.datasource.json_datasource import PandasJSONDatasource +from ray.data._internal.pandas_block import PandasBlockBuilder from ray.data._internal.util import rows_same from ray.data.block import BlockAccessor from ray.data.datasource import ( @@ -673,6 +676,60 @@ def test_json_with_http_path_parallelization(ray_start_regular_shared, httpserve ) +class TestPandasJSONDatasource: + @pytest.mark.parametrize( + "data", + [{"a": []}, {"a": [1]}, {"a": [1, 2, 3]}], + ids=["empty", "single", "multiple"], + ) + def test_read_stream(self, data, tmp_path): + # Setup test file. + df = pd.DataFrame(data) + path = os.path.join(tmp_path, "test.json") + df.to_json(path, orient="records", lines=True) + + # Setup datasource. + local_filesystem = fs.LocalFileSystem() + source = PandasJSONDatasource( + path, target_output_size_bytes=1, filesystem=local_filesystem + ) + + # Read stream. + block_builder = PandasBlockBuilder() + with source._open_input_source(local_filesystem, path) as f: + for block in source._read_stream(f, path): + block_builder.add_block(block) + block = block_builder.build() + + # Verify. + assert rows_same(block, df) + + def test_read_stream_with_target_output_size_bytes(self, tmp_path): + # Setup test file. It contains 16 lines, each line is 8 MiB. + df = pd.DataFrame({"data": ["a" * 8 * 1024 * 1024] * 16}) + path = os.path.join(tmp_path, "test.json") + df.to_json(path, orient="records", lines=True) + + # Setup datasource. It should read 32 MiB (4 lines) per output. + local_filesystem = fs.LocalFileSystem() + source = PandasJSONDatasource( + path, + target_output_size_bytes=32 * 1024 * 1024, + filesystem=local_filesystem, + ) + + # Read stream. + block_builder = PandasBlockBuilder() + with source._open_input_source(local_filesystem, path) as f: + for block in source._read_stream(f, path): + assert len(block) == 4 + block_builder.add_block(block) + block = block_builder.build() + + # Verify. + assert rows_same(block, df) + + if __name__ == "__main__": import sys From 3c38088ab91a225fb87995bc03892878f908e115 Mon Sep 17 00:00:00 2001 From: srinathk10 <68668616+srinathk10@users.noreply.github.com> Date: Tue, 8 Jul 2025 16:36:08 -0700 Subject: [PATCH 0101/1566] Fix test_json CI failures (#54352) ## Why are these changes needed? Fix test_json CI failures - Reduce the file size to KBs (instead of MBs) for testing file size larger than block size in `test_json_read_file_larger_than_block_size`. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_json.py | 75 +++++++++++++++++++++++++++--- 1 file changed, 69 insertions(+), 6 deletions(-) diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index ca1e26d64664..92c9e9f40d32 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -555,13 +555,15 @@ def test_json_roundtrip(ray_start_regular_shared, tmp_path, override_num_blocks) (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), ], ) -def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoint_url): +def test_json_read_small_file_unit_block_size( + ray_start_regular_shared, fs, data_path, endpoint_url +): + """Test reading a small JSON file with unit block_size.""" if endpoint_url is None: storage_options = {} else: storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - # Single small file, unit block_size df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(data_path, "test1.json") df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) @@ -575,8 +577,26 @@ def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoi assert ds.input_files() == [_unwrap_protocol(path1)] assert ds.schema() == Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])) - # Single large file, default block_size - num_chars = 2500000 + +@pytest.mark.parametrize( + "fs,data_path,endpoint_url", + [ + (None, lazy_fixture("local_path"), None), + (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), + (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), + ], +) +def test_json_read_file_larger_than_block_size( + ray_start_regular_shared, fs, data_path, endpoint_url +): + """Test reading a JSON file larger than the block size.""" + if endpoint_url is None: + storage_options = {} + else: + storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) + + block_size = 1024 + num_chars = 2500 num_rows = 3 df2 = pd.DataFrame( { @@ -586,7 +606,9 @@ def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoi ) path2 = os.path.join(data_path, "test2.json") df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json(path2, filesystem=fs) + ds = ray.data.read_json( + path2, filesystem=fs, read_options=pajson.ReadOptions(block_size=block_size) + ) dsdf = ds.to_pandas() assert df2.equals(dsdf) # Test metadata ops. @@ -596,7 +618,24 @@ def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoi pa.schema([("one", pa.string()), ("two", pa.string())]) ) - # Single file, negative and zero block_size (expect failure) + +@pytest.mark.parametrize( + "fs,data_path,endpoint_url", + [ + (None, lazy_fixture("local_path"), None), + (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), + (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), + ], +) +def test_json_read_negative_block_size_fallback( + ray_start_regular_shared, fs, data_path, endpoint_url +): + """Test reading JSON with negative block_size triggers fallback to json.load().""" + if endpoint_url is None: + storage_options = {} + else: + storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) + df3 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path3 = os.path.join(data_path, "test3.json") df3.to_json(path3, orient="records", lines=True, storage_options=storage_options) @@ -606,6 +645,29 @@ def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoi path3, filesystem=fs, read_options=pajson.ReadOptions(block_size=-1) ) dsdf = ds.to_pandas() + assert df3.equals(dsdf) + + +@pytest.mark.parametrize( + "fs,data_path,endpoint_url", + [ + (None, lazy_fixture("local_path"), None), + (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), + (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), + ], +) +def test_json_read_zero_block_size_failure( + ray_start_regular_shared, fs, data_path, endpoint_url +): + """Test reading JSON with zero block_size fails in both arrow and fallback.""" + if endpoint_url is None: + storage_options = {} + else: + storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) + + df3 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) + path3 = os.path.join(data_path, "test3.json") + df3.to_json(path3, orient="records", lines=True, storage_options=storage_options) # Zero Buffer Size, fails with arrow and fails in fallback to json.load() with pytest.raises(json.decoder.JSONDecodeError, match="Extra data"): @@ -613,6 +675,7 @@ def test_json_read_across_blocks(ray_start_regular_shared, fs, data_path, endpoi path3, filesystem=fs, read_options=pajson.ReadOptions(block_size=0) ) dsdf = ds.to_pandas() + assert dsdf.equals(df3) @pytest.mark.parametrize("min_rows_per_file", [5, 10, 50]) From 473e6270cd4f2b78ec0b6d2bd823aa457827610e Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 8 Jul 2025 16:48:38 -0700 Subject: [PATCH 0102/1566] [serve] skip test_proxy_disconnect_metrics on windows (#54441) Skip `test_proxy_disconnect_metrics` on windows because it is flaky. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_metrics.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index ed160eab74b5..e4cddae063c1 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -549,6 +549,7 @@ async def return_status_code_with_timeout(request: Request): assert num_errors[0]["application"] == "status_code_timeout" +@pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows") def test_proxy_disconnect_metrics(metrics_start_shutdown): """Test that disconnect metrics are reported correctly.""" From 26dd5bb018251022c287fda65a02e6a50ed176db Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Tue, 8 Jul 2025 19:28:14 -0700 Subject: [PATCH 0103/1566] [train][checkpoint] Populate checkpoint from before_init_train_context instead of workergroupcontext (#54453) This PR cleans up technical debt by implementing a TODO in the codebase. The TODO was essentially to populate all Train Context args with `before_init_train_context` methods. Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../checkpoint/checkpoint_manager.py | 20 ++++++++++-- .../execution/controller/controller.py | 31 +++++++------------ .../execution/worker_group/worker_group.py | 10 +----- .../train/v2/tests/test_checkpoint_manager.py | 26 ++++++++++++++++ 4 files changed, 56 insertions(+), 31 deletions(-) diff --git a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py index 688c6168f70d..a241ce43619d 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py @@ -9,9 +9,13 @@ ) from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.exceptions import CheckpointManagerInitializationError -from ray.train.v2._internal.execution.callback import ReportCallback +from ray.train.v2._internal.execution.callback import ( + ReportCallback, + WorkerGroupCallback, +) from ray.train.v2._internal.execution.context import StorageContext from ray.train.v2._internal.execution.storage import _delete_fs_path, _exists_at_fs_path +from ray.train.v2._internal.execution.worker_group import Worker try: from pydantic import BaseModel @@ -69,7 +73,7 @@ def _get_state_from_training_result( ) -class CheckpointManager(_CheckpointManager, ReportCallback): +class CheckpointManager(_CheckpointManager, ReportCallback, WorkerGroupCallback): def __init__( self, checkpoint_config: CheckpointConfig, @@ -269,3 +273,15 @@ def after_report( self.register_checkpoint( _TrainingResult(checkpoint=checkpoint, metrics=rank_0_metrics) ) + + # -------------------------- + # WorkerGroupCallback + # -------------------------- + + def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: + latest_checkpoint = ( + self.latest_checkpoint_result.checkpoint + if self.latest_checkpoint_result + else None + ) + return {"checkpoint": [latest_checkpoint] * len(workers)} diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index be73417412b6..f26f65c755fc 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -146,13 +146,17 @@ def __init__( ] # Group callbacks that will be propagated to the worker group, # train worker and the train context. - self._worker_group_callbacks_to_propagate = [report_handler] + [ - c - for c in self._callbacks - if isinstance( - c, (WorkerGroupCallback, WorkerCallback, TrainContextCallback) - ) - ] + self._worker_group_callbacks_to_propagate = ( + [report_handler] + + [ + c + for c in self._callbacks + if isinstance( + c, (WorkerGroupCallback, WorkerCallback, TrainContextCallback) + ) + ] + + [self._checkpoint_manager] + ) self._health_check_interval_s = float( os.getenv(HEALTH_CHECK_INTERVAL_S_ENV_VAR, DEFAULT_HEALTH_CHECK_INTERVAL_S) @@ -268,27 +272,14 @@ def _start_worker_group(self, num_workers: int, resources_per_worker: dict) -> b Returns: True if the worker group was successfully started, False otherwise. """ - - # If there's a latest checkpoint that's been committed, - # use it to restore the worker group. - latest_checkpoint_result = self._checkpoint_manager.latest_checkpoint_result - latest_checkpoint = ( - latest_checkpoint_result.checkpoint if latest_checkpoint_result else None - ) placement_strategy = self._scaling_policy.scaling_config.placement_strategy - worker_group_context = WorkerGroupContext( run_attempt_id=self._get_run_attempt_id(), train_fn_ref=self._train_fn_ref, num_workers=num_workers, resources_per_worker=resources_per_worker, placement_strategy=placement_strategy, - checkpoint=latest_checkpoint, ) - - # Start the worker group with the latest checkpoint if there is one. - # Otherwise, start the worker group with the checkpoint set by controller. - # Finally, if there is no checkpoint, start the worker group with None. try: self._worker_group = self.worker_group_cls.create( train_run_context=self._train_run_context, diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index 2f5632fe1ab1..e707c77b7d2f 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -10,7 +10,6 @@ from ray.actor import ActorHandle from ray.exceptions import GetTimeoutError, RayActorError from ray.runtime_env import RuntimeEnv -from ray.train import Checkpoint from ray.train.v2._internal.constants import ( DEFAULT_REPORT_BARRIER_TIMEOUT_S, DEFAULT_REPORT_BARRIER_WARN_INTERVAL_S, @@ -88,7 +87,6 @@ class WorkerGroupContext: num_workers: The number of workers in the worker group. resources_per_worker: The resources per worker. placement_strategy: Strategy for placing workers. - checkpoint: Optional checkpoint to restore from. """ run_attempt_id: str @@ -96,10 +94,6 @@ class WorkerGroupContext: num_workers: int resources_per_worker: Dict[str, float] placement_strategy: str = "PACK" - # TODO: Remove checkpoint from WorkerGroupContext - # and move it to CheckpointManager. Populate TrainContext - # similar to how the dataset shards are passed to the workers. - checkpoint: Optional[Checkpoint] = None class WorkerGroup: @@ -290,9 +284,7 @@ def _start_impl( # To prevent the driver from crashing, catch all `RayActorError`s and # raise a specially handled error to the controller. try: - train_context_args = { - "checkpoint": [worker_group_context.checkpoint] * len(workers) - } + train_context_args = {} for callable in self._callbacks: args = callable.before_init_train_context(workers) for arg, arg_values in args.items(): diff --git a/python/ray/train/v2/tests/test_checkpoint_manager.py b/python/ray/train/v2/tests/test_checkpoint_manager.py index 4a95217c358a..e1caf79cd8f9 100644 --- a/python/ray/train/v2/tests/test_checkpoint_manager.py +++ b/python/ray/train/v2/tests/test_checkpoint_manager.py @@ -1,6 +1,7 @@ import uuid from pathlib import Path from typing import List, Optional +from unittest.mock import create_autospec import pytest @@ -12,6 +13,7 @@ CheckpointManager, ) from ray.train.v2._internal.execution.storage import StorageContext +from ray.train.v2._internal.execution.worker_group import Worker @pytest.fixture(autouse=True, scope="module") @@ -143,6 +145,30 @@ def test_load_state_error(tmp_path, json_state): checkpoint_manager._load_state(json_state) +def test_before_init_train_context(tmp_path): + storage_context = StorageContext( + storage_path=tmp_path, + experiment_dir_name="my_experiment_name", + ) + checkpoint_manager = CheckpointManager( + storage_context=storage_context, + checkpoint_config=CheckpointConfig(), + ) + workers = [create_autospec(Worker, instance=True) for _ in range(4)] + + # Assert without a checkpoint. + assert checkpoint_manager.before_init_train_context(workers) == { + "checkpoint": [None] * 4 + } + + # Assert with a checkpoint + latest_checkpoint_result = _create_dummy_training_results(1, storage_context)[0] + checkpoint_manager._latest_checkpoint_result = latest_checkpoint_result + assert checkpoint_manager.before_init_train_context(workers) == { + "checkpoint": [latest_checkpoint_result.checkpoint] * 4 + } + + if __name__ == "__main__": import sys From 46ac13400707a1fc94d290c4d2cf19d5a37de917 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 8 Jul 2025 21:42:23 -0700 Subject: [PATCH 0104/1566] [deps] upgrade datasets in release tests (#54425) the older version of datasets does not with huggingface service any more. `HfFilesystem` starts returning gzipped version of files, but the client side (in `dataset`) is trying to decode it as an `utf-8` which leads to failure. also constrain myst-* deps with global lock, respects global lock file versions on notebook testing --------- Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../examples/deepspeed/gptj_deepspeed_fine_tuning.ipynb | 2 +- .../lightning/dolly_lightning_fsdp_finetuning.ipynb | 2 +- .../vicuna_13b_lightning_deepspeed_finetune.ipynb | 8 ++++---- release/ray_release/byod/byod_dolly_test.sh | 6 +++++- release/ray_release/byod/byod_gptj_test.sh | 5 ++++- release/ray_release/byod/byod_vicuna_test.sh | 8 ++++++-- 6 files changed, 21 insertions(+), 10 deletions(-) diff --git a/doc/source/train/examples/deepspeed/gptj_deepspeed_fine_tuning.ipynb b/doc/source/train/examples/deepspeed/gptj_deepspeed_fine_tuning.ipynb index 41b2b7f85de5..213e4e327e81 100644 --- a/doc/source/train/examples/deepspeed/gptj_deepspeed_fine_tuning.ipynb +++ b/doc/source/train/examples/deepspeed/gptj_deepspeed_fine_tuning.ipynb @@ -213,7 +213,7 @@ "from datasets import load_dataset\n", "\n", "print(\"Loading tiny_shakespeare dataset\")\n", - "current_dataset = load_dataset(\"tiny_shakespeare\")\n", + "current_dataset = load_dataset(\"tiny_shakespeare\", trust_remote_code=True)\n", "current_dataset" ] }, diff --git a/doc/source/train/examples/lightning/dolly_lightning_fsdp_finetuning.ipynb b/doc/source/train/examples/lightning/dolly_lightning_fsdp_finetuning.ipynb index 6e0c62990477..2b103dee2c85 100644 --- a/doc/source/train/examples/lightning/dolly_lightning_fsdp_finetuning.ipynb +++ b/doc/source/train/examples/lightning/dolly_lightning_fsdp_finetuning.ipynb @@ -128,7 +128,7 @@ " ret[\"labels\"] = ret[\"input_ids\"].copy()\n", " return dict(ret)\n", "\n", - "hf_dataset = load_dataset(\"tiny_shakespeare\")\n", + "hf_dataset = load_dataset(\"tiny_shakespeare\", trust_remote_code=True)\n", "train_ds = ray.data.from_huggingface(hf_dataset[\"train\"])" ] }, diff --git a/doc/source/train/examples/lightning/vicuna_13b_lightning_deepspeed_finetune.ipynb b/doc/source/train/examples/lightning/vicuna_13b_lightning_deepspeed_finetune.ipynb index 7f6dbdc51445..2a2703353a68 100644 --- a/doc/source/train/examples/lightning/vicuna_13b_lightning_deepspeed_finetune.ipynb +++ b/doc/source/train/examples/lightning/vicuna_13b_lightning_deepspeed_finetune.ipynb @@ -99,7 +99,7 @@ "ray.init(\n", " runtime_env={\n", " \"pip\": [\n", - " \"datasets==2.13.1\",\n", + " \"datasets\",\n", " \"torch>=1.13.0\",\n", " \"deepspeed==0.12.3\",\n", " \"accelerate==0.20.3\",\n", @@ -138,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -174,8 +174,8 @@ "from datasets import concatenate_datasets, load_dataset\n", "\n", "# Combine the curated dataset and automatically-mined dataset\n", - "hf_dataset_curated = load_dataset(\"neulab/conala\")\n", - "hf_dataset_mined = load_dataset(\"neulab/conala\", \"mined\", split=\"train[:5000]\")\n", + "hf_dataset_curated = load_dataset(\"neulab/conala\", trust_remote_code=True)\n", + "hf_dataset_mined = load_dataset(\"neulab/conala\", \"mined\", split=\"train[:5000]\", trust_remote_code=True)\n", "hf_dataset_merged = concatenate_datasets(\n", " [hf_dataset_curated[\"train\"], hf_dataset_mined]\n", ")\n", diff --git a/release/ray_release/byod/byod_dolly_test.sh b/release/ray_release/byod/byod_dolly_test.sh index 7b680d1a0947..eecb5ec444d6 100755 --- a/release/ray_release/byod/byod_dolly_test.sh +++ b/release/ray_release/byod/byod_dolly_test.sh @@ -4,6 +4,10 @@ set -exo pipefail +pip3 install -c "$HOME/requirements_compiled.txt" myst-parser myst-nb + pip3 uninstall -y pytorch-lightning pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 -pip3 install lightning==2.0.3 myst-parser==1.0.0 myst-nb==1.1.0 + +# TODO(matthewdeng): upgrade datasets globally +pip3 install lightning==2.0.3 datasets==3.6.0 diff --git a/release/ray_release/byod/byod_gptj_test.sh b/release/ray_release/byod/byod_gptj_test.sh index 64d47348b5c6..d1c74fde1be8 100755 --- a/release/ray_release/byod/byod_gptj_test.sh +++ b/release/ray_release/byod/byod_gptj_test.sh @@ -2,4 +2,7 @@ set -exo pipefail -pip3 install myst-parser==1.0.0 myst-nb==1.1.0 +pip3 install -c "$HOME/requirements_compiled.txt" myst-parser myst-nb + +# TODO(matthewdeng): upgrade datasets globally +pip3 install datasets==3.6.0 diff --git a/release/ray_release/byod/byod_vicuna_test.sh b/release/ray_release/byod/byod_vicuna_test.sh index 7330bdce6ddd..d920fba8e28e 100755 --- a/release/ray_release/byod/byod_vicuna_test.sh +++ b/release/ray_release/byod/byod_vicuna_test.sh @@ -4,7 +4,7 @@ set -exo pipefail -cat >> ~/.bashrc <> "$HOME/.bashrc" < Date: Tue, 8 Jul 2025 21:49:51 -0700 Subject: [PATCH 0105/1566] [ci] adding uv binary v0.7.19 (#54437) Adding uv binary to be used in CI --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- WORKSPACE | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/WORKSPACE b/WORKSPACE index 6de1537626a0..eb81d2a60c4b 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -102,6 +102,19 @@ filegroup( urls = ["https://github.com/distribution/distribution/releases/download/v3.0.0/registry_3.0.0_linux_amd64.tar.gz"], ) +http_archive( + name = "uv_x86_64", + build_file_content = """ + filegroup( + name = "file", + srcs = glob(["**"]), + visibility = ["//visibility:public"], +) +""", + sha256 = "1785537fc65a35609dc33063b5f1cc85437a08ade4c0a832071c018481afe515", + urls = ["https://github.com/astral-sh/uv/releases/download/0.7.19/uv-i686-unknown-linux-gnu.tar.gz"], +) + http_archive( name = "com_github_storypku_bazel_iwyu", sha256 = "aa78c331a2cb139f73f7d74eeb4d5ab29794af82023ef5d6d5194f76b7d37449", From 223d1ef333db221c79080867698421ca3522db66 Mon Sep 17 00:00:00 2001 From: lkchen Date: Tue, 8 Jul 2025 22:50:29 -0700 Subject: [PATCH 0106/1566] [llm] bump vllm to 0.9.2 (#54407) Signed-off-by: Linkun Signed-off-by: Linkun Chen Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/vllm/vllm_engine.py | 50 +-- .../deployments/llm/vllm/vllm_loggers.py | 9 +- python/requirements/llm/llm-requirements.txt | 2 +- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 4 +- .../requirements_compiled_ray_py311_cpu.txt | 197 ++++----- .../requirements_compiled_ray_py311_cu121.txt | 197 ++++----- .../requirements_compiled_ray_py311_cu128.txt | 197 ++++----- ...quirements_compiled_ray_test_py311_cpu.txt | 197 ++++----- ...irements_compiled_ray_test_py311_cu121.txt | 197 ++++----- ...irements_compiled_ray_test_py311_cu128.txt | 197 ++++----- ...requirements_compiled_rayllm_py311_cpu.txt | 379 ++++++++++++------ ...quirements_compiled_rayllm_py311_cu121.txt | 379 ++++++++++++------ ...quirements_compiled_rayllm_py311_cu128.txt | 379 ++++++++++++------ ...rements_compiled_rayllm_test_py311_cpu.txt | 373 +++++++++++------ ...ments_compiled_rayllm_test_py311_cu121.txt | 373 +++++++++++------ ...ments_compiled_rayllm_test_py311_cu128.txt | 373 +++++++++++------ python/setup.py | 2 +- .../serve/test_llm_serve_integration.py | 6 +- 19 files changed, 2243 insertions(+), 1270 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 25d8bd2fdf75..85b42b2d5f7a 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -88,7 +88,7 @@ def _get_async_engine_args(llm_config: LLMConfig) -> "AsyncEngineArgs": if isinstance(llm_config.model_loading_config.model_source, str): model = llm_config.model_loading_config.model_source - return vllm.engine.arg_utils.AsyncEngineArgs( + return vllm.AsyncEngineArgs( **{ "model": model, "distributed_executor_backend": "ray", @@ -142,9 +142,11 @@ def _clear_current_platform_cache(): class _EngineBackgroundProcess: def __init__(self, ipc_path, engine_args, engine_config): from vllm.engine.multiprocessing.engine import MQLLMEngine + from vllm.plugins import load_general_plugins + from vllm.usage.usage_lib import UsageContext # Adapted from vllm.engine.multiprocessing.engine.MQLLMEngine.from_engine_args - vllm.plugins.load_general_plugins() + load_general_plugins() # Note (genesu): There is a bug in vllm 0.7.2 forced the use of uni processing # executor when world_size is 1. This is a bug in vllm 0.7.2 and @@ -163,7 +165,7 @@ def __init__(self, ipc_path, engine_args, engine_config): executor_class=RayDistributedExecutor, log_requests=not engine_args.disable_log_requests, log_stats=not engine_args.disable_log_stats, - usage_context=vllm.usage.usage_lib.UsageContext.API_SERVER, + usage_context=UsageContext.API_SERVER, ) self._error = None @@ -193,18 +195,19 @@ def __init__( raise ImportError( "vLLM is not installed. Please install it with `pip install ray[llm]`." ) + from vllm import envs as vllm_envs, utils as vllm_utils # Pick a random port in P/D case. kv_transfer_config = llm_config.engine_kwargs.get("kv_transfer_config", None) if kv_transfer_config is not None: - if not vllm.envs.VLLM_USE_V1: + if not vllm_envs.VLLM_USE_V1: logger.warning("Ray Serve LLM only supports P/D with v1 vLLM engine.") connector_type = getattr(kv_transfer_config, "kv_connector", "") if connector_type != "NixlConnector": raise ValueError("Only NixlConnector is supported for kv transfer.") if ( - "VLLM_NIXL_SIDE_CHANNEL_PORT" not in vllm.envs.environment_variables - or "VLLM_NIXL_SIDE_CHANNEL_HOST" not in vllm.envs.environment_variables + "VLLM_NIXL_SIDE_CHANNEL_PORT" not in vllm_envs.environment_variables + or "VLLM_NIXL_SIDE_CHANNEL_HOST" not in vllm_envs.environment_variables ): raise ValueError( "This vLLM version does not support VLLM_NIXL_SIDE_CHANNEL_PORT" @@ -212,16 +215,16 @@ def __init__( "that you are using an older version of vLLM." ) - if not vllm.envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): - port: int = vllm.utils.get_open_port() + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): + port: int = vllm_utils.get_open_port() os.environ["VLLM_NIXL_SIDE_CHANNEL_PORT"] = str(port) - if not vllm.envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): - os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm.utils.get_ip() + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): + os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm_utils.get_ip() # We need to overwrite the engine_id to make it unique across replicas. engine_id = getattr(kv_transfer_config, "engine_id", str(uuid.uuid4())) - host = vllm.envs.VLLM_NIXL_SIDE_CHANNEL_HOST - port = vllm.envs.VLLM_NIXL_SIDE_CHANNEL_PORT + host = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_HOST + port = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_PORT kv_transfer_config.engine_id = "-".join([engine_id, host, str(port)]) assert isinstance( @@ -242,7 +245,7 @@ def __init__( self._tokenizer = None self._tokenizer_executor = ThreadPoolExecutor(max_workers=1) - self._atokenize = vllm.utils.make_async( + self._atokenize = vllm_utils.make_async( self._tokenize, executor=self._tokenizer_executor ) @@ -309,7 +312,7 @@ def resolve_chat_template_content_format(model_config, **kwargs): logger.info("Started vLLM engine.") async def _start_engine(self) -> "EngineClient": - from vllm import envs + from vllm import envs as vllm_envs # Since vLLM 0.8.0, the logic to determine v0/v1 engine is as follows: # 1. If VLLM_USE_V1 is not set, then it tries to use v1 engine. However, @@ -320,14 +323,14 @@ async def _start_engine(self) -> "EngineClient": # experimental features (such as launching vLLM on a non-main thread). # 3. If VLLM_USE_V1 is set to 0, force using v0 engine. # In Ray Serve LLM, we forbid case 1 because we have to know exactly which engine is used. - if not envs.is_set("VLLM_USE_V1"): + if not vllm_envs.is_set("VLLM_USE_V1"): logger.warning( "VLLM_USE_V1 environment variable is not set, using vLLM v0 as default. " "Later we may switch default to use v1 once vLLM v1 is mature." ) - envs.set_vllm_use_v1(False) + vllm_envs.set_vllm_use_v1(False) - if not envs.VLLM_USE_V1: + if not vllm_envs.VLLM_USE_V1: if self.llm_config.log_engine_metrics: raise ValueError("V1 vLLM Engine is required to log engine metrics") @@ -429,8 +432,9 @@ async def _start_mq_engine( placement_group: PlacementGroup, ) -> "EngineClient": from vllm.engine.multiprocessing.client import MQLLMEngineClient + from vllm.utils import get_open_zmq_ipc_path - ipc_path = vllm.utils.get_open_zmq_ipc_path() + ipc_path = get_open_zmq_ipc_path() BackgroundCls = ray.remote( num_cpus=0, @@ -512,7 +516,7 @@ def _start_async_llm_engine( executor_class = Executor.get_class(vllm_config) logger.info(f"Using executor class: {executor_class}") - engine = vllm.engine.async_llm_engine.AsyncLLMEngine( + engine = vllm.AsyncLLMEngine( vllm_config=vllm_config, executor_class=executor_class, log_stats=not engine_args.disable_log_stats, @@ -610,12 +614,12 @@ async def generate( ) if request.prompt_token_ids is not None: - prompt = vllm.inputs.TokensPrompt( + prompt = vllm.TokensPrompt( prompt_token_ids=request.prompt_token_ids, multi_modal_data=request.multi_modal_data, ) else: - prompt = vllm.inputs.TextPrompt( + prompt = vllm.TextPrompt( prompt=request.prompt, multi_modal_data=request.multi_modal_data, ) @@ -787,10 +791,10 @@ async def embed( for i, prompt in enumerate(prompts): request_id = f"{vllm_embedding_request.request_id}-{i}" gen: AsyncGenerator["PoolingRequestOutput", None] = self.engine.encode( - prompt=vllm.inputs.TextPrompt( + prompt=vllm.TextPrompt( prompt=prompt, ), - pooling_params=vllm.pooling_params.PoolingParams(), + pooling_params=vllm.PoolingParams(), request_id=request_id, lora_request=vllm_embedding_request.lora_request, # type: ignore ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py index 7caba06fa32e..ff24d0e21f37 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py @@ -466,7 +466,14 @@ def record( self.metrics.gauge_scheduler_running.set(scheduler_stats.num_running_reqs) self.metrics.gauge_scheduler_waiting.set(scheduler_stats.num_waiting_reqs) - self.metrics.gauge_gpu_cache_usage.set(scheduler_stats.gpu_cache_usage) + # https://github.com/vllm-project/vllm/pull/18354 (part of vllm 0.9.2) + # renamed gpu_cache_usage to kv_cache_usage. + kv_cache_usage = ( + scheduler_stats.kv_cache_usage + if hasattr(scheduler_stats, "kv_cache_usage") + else scheduler_stats.gpu_cache_usage + ) + self.metrics.gauge_gpu_cache_usage.set(kv_cache_usage) self.metrics.counter_gpu_prefix_cache_queries.inc( scheduler_stats.prefix_cache_stats.queries diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index abc074eb31ea..899e8636de50 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -1,5 +1,5 @@ # Keep this in sync with the definition in setup.py for ray[llm] -vllm>=0.9.0.1 +vllm>=0.9.2 # For json mode jsonref>=1.1.0 jsonschema diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 6f45257b5663..57f3c80666e7 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -43,7 +43,7 @@ opencensus-proto==0.1.0 pexpect==4.8.0 Pillow==10.3.0; platform_system != "Windows" proxy.py==2.4.3 -pydantic>=2.9.0 +pydantic>=2.10.0 pydot==1.4.2 pygame==2.5.2 Pygments==2.18.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index f596c44bb87c..6d21340c2b00 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1610,7 +1610,7 @@ pycparser==2.21 # via cffi pycurl==7.45.3 # via -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 +pydantic==2.10.0 # via # -r python/requirements.txt # -r python/requirements/test-requirements.txt @@ -1620,7 +1620,7 @@ pydantic==2.9.2 # gradio # mlflow-skinny # pyiceberg -pydantic-core==2.23.4 +pydantic-core==2.27.0 # via pydantic pydot==1.4.2 # via -r python/requirements/test-requirements.txt diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 64fd0825acc9..18f26fbcdb12 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -1533,103 +1533,114 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + 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--hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # pydantic diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index e37f6b306178..fd6dddec3b89 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -1533,103 +1533,114 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - 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--hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # pydantic diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index e3a047582923..ee67bfecda1f 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -1497,103 +1497,114 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - 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--hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ + 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--hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ + --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ + --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # pydantic diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index eb64d4190442..ba6a56626de0 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -2272,103 +2272,114 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.23.4 \ - 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--hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 2f965a7588fc..750c7298ffba 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -2272,103 +2272,114 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - 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--hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 5cfb590501c8..6a204d5b3afb 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -2272,103 +2272,114 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \ - --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \ - --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \ - --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \ - --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \ - --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \ - --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \ - --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \ - --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \ - --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \ - --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \ - --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \ - --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \ - --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \ - --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \ - --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \ - --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \ - 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--hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \ - --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \ - --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \ - --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \ - --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \ - --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \ - --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \ - --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ + --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ + --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ + --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ + --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ + --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ + 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--hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ + --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ + --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ + --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ + --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ + --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ + --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ + --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ + --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ + --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ + --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ + --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ + --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ + --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ + --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ + --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ + --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ + --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ + --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ + --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ + --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ + --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ + --hash=sha256:68950bc08f9735306322bfc16a18391fcaac99ded2509e1cc41d03ccb6013cfe \ + --hash=sha256:68ef5377eb582fa4343c9d0b57a5b094046d447b4c73dd9fbd9ffb216f829e7d \ + --hash=sha256:6b4c19525c3538fbc0bbda6229f9682fb8199ce9ac37395880e6952798e00373 \ + --hash=sha256:6bb69bf3b6500f195c3deb69c1205ba8fc3cb21d1915f1f158a10d6b1ef29b6a \ + --hash=sha256:6e19401742ed7b69e51d8e4df3c03ad5ec65a83b36244479fd70edde2828a5d9 \ + --hash=sha256:6f4a53af9e81d757756508b57cae1cf28293f0f31b9fa2bfcb416cc7fb230f9d \ + --hash=sha256:6fda87808429c520a002a85d6e7cdadbf58231d60e96260976c5b8f9a12a8e13 \ + --hash=sha256:78f841523729e43e3928a364ec46e2e3f80e6625a4f62aca5c345f3f626c6e8a \ + --hash=sha256:7a6ebfac28fd51890a61df36ef202adbd77d00ee5aca4a3dadb3d9ed49cfb929 \ + --hash=sha256:7b0202ebf2268954090209a84f9897345719e46a57c5f2c9b7b250ca0a9d3e63 \ + --hash=sha256:8117839a9bdbba86e7f9df57018fe3b96cec934c3940b591b0fd3fbfb485864a \ + --hash=sha256:82e1ad4ca170e8af4c928b67cff731b6296e6a0a0981b97b2eb7c275cc4e15bd \ + --hash=sha256:836a4bfe0cc6d36dc9a9cc1a7b391265bf6ce9d1eb1eac62ac5139f5d8d9a6fa \ + --hash=sha256:84af1cf7bfdcbc6fcf5a5f70cc9896205e0350306e4dd73d54b6a18894f79386 \ + --hash=sha256:84e35afd9e10b2698e6f2f32256678cb23ca6c1568d02628033a837638b3ed12 \ + --hash=sha256:884f1806609c2c66564082540cffc96868c5571c7c3cf3a783f63f2fb49bd3cd \ + --hash=sha256:8a150392102c402c538190730fda06f3bce654fc498865579a9f2c1d2b425833 \ + --hash=sha256:8e21d927469d04b39386255bf00d0feedead16f6253dcc85e9e10ddebc334084 \ + --hash=sha256:8e96ca781e0c01e32115912ebdf7b3fb0780ce748b80d7d28a0802fa9fbaf44e \ + --hash=sha256:8ee4c2a75af9fe21269a4a0898c5425afb01af1f5d276063f57e2ae1bc64e191 \ + --hash=sha256:91bc66f878557313c2a6bcf396e7befcffe5ab4354cfe4427318968af31143c3 \ + --hash=sha256:951e71da6c89d354572098bada5ba5b5dc3a9390c933af8a614e37755d3d1840 \ + --hash=sha256:99b2863c1365f43f74199c980a3d40f18a218fbe683dd64e470199db426c4d6a \ + --hash=sha256:9a8fbf506fde1529a1e3698198fe64bfbe2e0c09557bc6a7dcf872e7c01fec40 \ + --hash=sha256:9ce048deb1e033e7a865ca384770bccc11d44179cf09e5193a535c4c2f497bdc \ + --hash=sha256:9fe94d9d2a2b4edd7a4b22adcd45814b1b59b03feb00e56deb2e89747aec7bfe \ + --hash=sha256:a291d0b4243a259c8ea7e2b84eb9ccb76370e569298875a7c5e3e71baf49057a \ + --hash=sha256:a5c022bb0d453192426221605efc865373dde43b17822a264671c53b068ac20c \ + --hash=sha256:abb4785894936d7682635726613c44578c420a096729f1978cd061a7e72d5275 \ + --hash=sha256:b872c86d8d71827235c7077461c502feb2db3f87d9d6d5a9daa64287d75e4fa0 \ + --hash=sha256:bf37b72834e7239cf84d4a0b2c050e7f9e48bced97bad9bdf98d26b8eb72e846 \ + --hash=sha256:c0c431e4be5c1a0c6654e0c31c661cd89e0ca956ef65305c3c3fd96f4e72ca39 \ + --hash=sha256:c5726eec789ee38f2c53b10b1821457b82274f81f4f746bb1e666d8741fcfadb \ + --hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ + --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ + --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index ae033957f981..699b1ca7a034 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -426,9 +426,9 @@ colorful==0.5.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -968,9 +968,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # fastapi # openai -huggingface-hub==0.32.3 \ - --hash=sha256:752c889ebf3a63cbd39803f6d87ccc135a463bbcb36abfa2faff0ccbf1cec087 \ - --hash=sha256:e46f7ea7fe2b5e5f67cc4e37eb201140091946a314d7c2b134a9673dadd80b6a +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # tokenizers @@ -1335,9 +1335,9 @@ meson==1.8.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.5.4 \ - --hash=sha256:0af4124ab09d1409761e91ec61681476882d46f9418eea8908d39c01222e0f6b \ - --hash=sha256:acef3367a4386d5dd3d9e23330348bbebe90a5cbd2fc5587d8a8d13d9893e537 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -1703,14 +1703,12 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -1753,19 +1751,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.3 \ - --hash=sha256:761a68a7e99436dfc53cfe1f99507316aa0114ac480f0c42743b9320b7c94831 \ - --hash=sha256:9ff60bbf38c8a891c20a355b4ca1948380361e27412c3ead264de0d050fa2570 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2175,6 +2166,153 @@ pyasn1-modules==0.3.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # google-auth +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + 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--hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2193,9 +2331,9 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt @@ -2207,96 +2345,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - 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--hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # pydantic @@ -3168,9 +3317,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt @@ -3366,7 +3515,7 @@ xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'x86_64' \ +xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index c4a9b7164273..03537f9956bb 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -426,9 +426,9 @@ colorful==0.5.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -968,9 +968,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # fastapi # openai -huggingface-hub==0.32.3 \ - --hash=sha256:752c889ebf3a63cbd39803f6d87ccc135a463bbcb36abfa2faff0ccbf1cec087 \ - --hash=sha256:e46f7ea7fe2b5e5f67cc4e37eb201140091946a314d7c2b134a9673dadd80b6a +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # tokenizers @@ -1335,9 +1335,9 @@ meson==1.8.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.5.4 \ - --hash=sha256:0af4124ab09d1409761e91ec61681476882d46f9418eea8908d39c01222e0f6b \ - --hash=sha256:acef3367a4386d5dd3d9e23330348bbebe90a5cbd2fc5587d8a8d13d9893e537 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -1819,14 +1819,12 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -1869,19 +1867,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.3 \ - --hash=sha256:761a68a7e99436dfc53cfe1f99507316aa0114ac480f0c42743b9320b7c94831 \ - --hash=sha256:9ff60bbf38c8a891c20a355b4ca1948380361e27412c3ead264de0d050fa2570 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2291,6 +2282,153 @@ pyasn1-modules==0.3.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # google-auth +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + --hash=sha256:500afcb717a84e262c68f0baf9c56abaf97e2f058ba80c5546a9ed21ff4b705f \ + --hash=sha256:51a24d21a21a959eb8884f24346a6480c4bd624aa7976c9761504d847a2f9364 \ + --hash=sha256:5202939f188cf150e1bc56f8b0da54a2cae2dcb9b27f4f7d313b358f707e1f7f \ + --hash=sha256:5dac8d885342d49f6306e666688288c50515d0743e36a4405b1413feb43f39cc \ + --hash=sha256:614561297ad14de315dd27381fd6ec3ea4de0d8206ba4c7678449afaff8a2009 \ + --hash=sha256:62dc454c50ed78256fdd477b828ecc2be6a00a0f0659f7c3914b33e1bc81170a \ + --hash=sha256:62e42807bde3a7d18a0a7d35bd7fb1fe68f99c897eea8d3ea3aa0791b91358eb \ + --hash=sha256:644f393e9bb7f3bacc5cbd3534d02e1b660b258fc8315ecae74d2e23265e5c1f \ + --hash=sha256:65567e8f4f31cf6e1a8cc570723cc6b18adda79b4387a18f8d93c157ff5f1979 \ + --hash=sha256:66b5b68e2fa41f9b267136fd788e1715c96bed37a2c0f73abf8741a50f196997 \ + --hash=sha256:678f573ea1d06183b32d0336044fb5db60396333599dffcce28ffa3b68319fc0 \ + --hash=sha256:6932053b71e6d4db62c0b89255caee88f796eadfb3c7d650a4637a3c849cc730 \ + --hash=sha256:6a1af8d387dbce05944b65a618639918804b2d4438fed32bb7f06d9c90dbed01 \ + --hash=sha256:6b426d106ba451fe04e6841bc962332793e5a951ebe23378ee61938b65824095 \ + --hash=sha256:6e15e0eaf665bcc5427c1f32f604ed02d599b7777e8b7f8391e943a8d7bc443f \ + --hash=sha256:72808de9aab43112deb04003e5e0d060c7cb1a60c3dcf74bbf61a9d7c596c5af \ + --hash=sha256:732c5a4f7b389e6655375e75bde6fbab15508c8ae819bf41bda2c0202a59ff19 \ + --hash=sha256:734e3dea40a30225b53d8d341ee4308f7b0182f1a8ce3f4309575c0af07b9902 \ + --hash=sha256:7726e655134132dde59bddabcd74d140f818eeecc70d149267267d5e29335193 \ + --hash=sha256:77339b232fbaf7f6ecbfb8a31aec25f3eeca8bc938188180c730d2084e4a246a \ + --hash=sha256:78165489e1026b80d3914488de51d28b247d9c75dbf8f2d0bf81c88d1636eb81 \ + --hash=sha256:7c07f62da3feb1aa0423454b28ecda86694cb8d3222a321d9c0e730e9a4368c1 \ + --hash=sha256:7d83ab7822da5740f1d17c72fb451e9468e72976b89cfb9eb4f6a5b66491b5dc \ + --hash=sha256:7fb782f3ceb30e24dc4d8d99c1221a381917bffaf85d29542f0f25b51829987c \ + --hash=sha256:8030ad8fe74c034cfad9a9a037c7b6ee85094b522c8b94c05e81df46e9a0eb5c \ + --hash=sha256:80e85e5ca298d3a9916c47e6fb0c47ebe5bf7996eac6983c887027b378e9bcae \ + --hash=sha256:82efee94d6bd93f7787afc42f260fa0b60e24c8dc7f172bd45cfe99fa39567ff \ + --hash=sha256:8a9f1b614efd41240c9bb2cf66031aa7a2c3c092c928f9d429511fe18d4a3fd1 \ + --hash=sha256:8b7765515d7e0a48ddfde914dc2b1782234ac188ce3fab173b078a6e82ec7017 \ + --hash=sha256:8bf440f8332de0ed863c51de332c2487011fcce448acd1f32549a01ca4550d74 \ + --hash=sha256:8d4bf9c94bc948cb3c3b0e38074d0de04f23d35765a306059417751e982da384 \ + --hash=sha256:8d81fc9f6d7d79708cb853a599e1143740c0c359235484c15b1f436c50e891cc \ + --hash=sha256:8db9acf239bb71a888748bc9ffc12c97c1079393a38bc180c0548330746ece94 \ + --hash=sha256:8ec003224f6e36e8e607a1bb8df182b367c87ca7135788ffe89173c7d5085005 \ + --hash=sha256:8f52c4c29a35381f3ae06d520144a0707132f2cbfb53bc907b74811734bc4ef3 \ + 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--hash=sha256:a306cb9ae5a6361e094e5617454dd26d19c896ccfc67d0357d96b96c5197547a \ + --hash=sha256:a4eb94f63a562fc2f4759db5b0acbbf87afc12ab2d430a20fa5fbdee8138a37c \ + --hash=sha256:a6b22975ff4e2dc73f86d3e648f16a48cb9e7c7f4b80bac43bd9e5332259cfc4 \ + --hash=sha256:a7ae7a30be0d50d4163293025935d390d3fe28e735559d051511b7f0b5339437 \ + --hash=sha256:aa4232a7082cca16db5de64f30056702d2d4ee4a5da1e2bbf9fd59bd3a67baed \ + --hash=sha256:ab02c31afe58b03d55a66fd9bd2cc4a04698b6bb2c33f68955aaec151542d838 \ + --hash=sha256:ab0b93ea93cf1f56ca4727d678a9c0144c2653e9de4e93e789a92b4e098c07d9 \ + --hash=sha256:ac03f8eba72dd6da15dc25bb3e1b440ad21f5cb7ee2e6ffbbae4bd1b206bb503 \ + --hash=sha256:af41e2e6015f980d15eae0df0c365df94c7587790aea236ba0bf48c65a9fa04e \ + --hash=sha256:b0bdb646f859132c68230efabc09fd8828ca20c59de7d53082f372c4b8af7aaa \ + --hash=sha256:b19e169ea1b8a15a03d3a379116eb7b17740803e89bc6eb3efcc74f532323cf7 \ + --hash=sha256:b1cef7bb7f0a84f3ffa97f431e65924bdaa95bf1696006fd7a391aaa8aa67753 \ + --hash=sha256:b2ab7b4535abc72d40114540cae32c9e07d76ffba132bdd5d4fff5fe340c5801 \ + --hash=sha256:b4ccb438c4208ff41a260b70994c30a8631051f3b025cdca48be586b068b8f49 \ + --hash=sha256:b881e99edaa4e5c90a34049573947c00b95b2ac06e670082f1f2f90edc602fff \ + --hash=sha256:ba4184ea43aa88a5ab8d6d15db284689765c7487ff3810764d8d823b545158e6 \ + --hash=sha256:bbdcf77e424c91389f22bf10158851ce05c602c50a74ccf5943ee3f5ef4ba489 \ + --hash=sha256:bc06186cfa9a43e871fdca47c1379bdf1cfe964bd94a47f0919a1ffab195b39e \ + --hash=sha256:bceafd1450436dfca597958bd77cc619ed79311310b2a9271ce7a8069bdcb139 \ + --hash=sha256:bd1de051b9b032d84e799af498b44499e90122a095da7dad89c2873518473c67 \ + --hash=sha256:bee30d01e59cfff7e241e9d94cf396af852bb36339b5a7d960e2583598128556 \ + --hash=sha256:bf8213e6b8c658df2971c5a56df42202d7f89d5d6312d066d49923cc98a39299 \ + --hash=sha256:c15765be7921914d0dad0a2fb57c35a1811e1cbe2d1e47c39e0c66ed7db52898 \ + --hash=sha256:c1b16691be4b63be973804de22b4b79e40c439e54ad9587f86f31f958b518625 \ + --hash=sha256:c36e214c25fb8dd4f3ecdaa0ff90073b793056e0065cc0a1e1e5525a6866a1ad \ + --hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2309,9 +2447,9 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt @@ -2323,96 +2461,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \ - --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \ - --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \ - --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \ - --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \ - --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \ - --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \ - --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \ - --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \ - --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \ - --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \ - --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \ - --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \ - --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \ - --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \ - --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \ - --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \ - --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \ - --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \ - --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \ - --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \ - --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \ - --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \ - --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \ - --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \ - --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \ - --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \ - --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \ - --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \ - --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \ - --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \ - --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \ - --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \ - --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \ - --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \ - --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \ - --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \ - --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \ - --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \ - --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \ - --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \ - --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \ - --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \ - --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \ - --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \ - --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \ - --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \ - --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \ - --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \ - --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \ - --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \ - --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \ - --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \ - --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \ - --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \ - --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \ - --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \ - --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \ - --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \ - --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \ - --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ + --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ + --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ + --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ + --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ + --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ + --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ + --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ + --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ + --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ + --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ + --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ + --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ + --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ + --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ + --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ + --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ + --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ + --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ + --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ + 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--hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ + --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ + --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ + --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ + --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ + --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ + --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ + --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ + --hash=sha256:68950bc08f9735306322bfc16a18391fcaac99ded2509e1cc41d03ccb6013cfe \ + --hash=sha256:68ef5377eb582fa4343c9d0b57a5b094046d447b4c73dd9fbd9ffb216f829e7d \ + --hash=sha256:6b4c19525c3538fbc0bbda6229f9682fb8199ce9ac37395880e6952798e00373 \ + --hash=sha256:6bb69bf3b6500f195c3deb69c1205ba8fc3cb21d1915f1f158a10d6b1ef29b6a \ + --hash=sha256:6e19401742ed7b69e51d8e4df3c03ad5ec65a83b36244479fd70edde2828a5d9 \ + --hash=sha256:6f4a53af9e81d757756508b57cae1cf28293f0f31b9fa2bfcb416cc7fb230f9d \ + --hash=sha256:6fda87808429c520a002a85d6e7cdadbf58231d60e96260976c5b8f9a12a8e13 \ + --hash=sha256:78f841523729e43e3928a364ec46e2e3f80e6625a4f62aca5c345f3f626c6e8a \ + --hash=sha256:7a6ebfac28fd51890a61df36ef202adbd77d00ee5aca4a3dadb3d9ed49cfb929 \ + --hash=sha256:7b0202ebf2268954090209a84f9897345719e46a57c5f2c9b7b250ca0a9d3e63 \ + --hash=sha256:8117839a9bdbba86e7f9df57018fe3b96cec934c3940b591b0fd3fbfb485864a \ + --hash=sha256:82e1ad4ca170e8af4c928b67cff731b6296e6a0a0981b97b2eb7c275cc4e15bd \ + --hash=sha256:836a4bfe0cc6d36dc9a9cc1a7b391265bf6ce9d1eb1eac62ac5139f5d8d9a6fa \ + --hash=sha256:84af1cf7bfdcbc6fcf5a5f70cc9896205e0350306e4dd73d54b6a18894f79386 \ + --hash=sha256:84e35afd9e10b2698e6f2f32256678cb23ca6c1568d02628033a837638b3ed12 \ + --hash=sha256:884f1806609c2c66564082540cffc96868c5571c7c3cf3a783f63f2fb49bd3cd \ + --hash=sha256:8a150392102c402c538190730fda06f3bce654fc498865579a9f2c1d2b425833 \ + --hash=sha256:8e21d927469d04b39386255bf00d0feedead16f6253dcc85e9e10ddebc334084 \ + --hash=sha256:8e96ca781e0c01e32115912ebdf7b3fb0780ce748b80d7d28a0802fa9fbaf44e \ + --hash=sha256:8ee4c2a75af9fe21269a4a0898c5425afb01af1f5d276063f57e2ae1bc64e191 \ + --hash=sha256:91bc66f878557313c2a6bcf396e7befcffe5ab4354cfe4427318968af31143c3 \ + --hash=sha256:951e71da6c89d354572098bada5ba5b5dc3a9390c933af8a614e37755d3d1840 \ + --hash=sha256:99b2863c1365f43f74199c980a3d40f18a218fbe683dd64e470199db426c4d6a \ + --hash=sha256:9a8fbf506fde1529a1e3698198fe64bfbe2e0c09557bc6a7dcf872e7c01fec40 \ + --hash=sha256:9ce048deb1e033e7a865ca384770bccc11d44179cf09e5193a535c4c2f497bdc \ + --hash=sha256:9fe94d9d2a2b4edd7a4b22adcd45814b1b59b03feb00e56deb2e89747aec7bfe \ + --hash=sha256:a291d0b4243a259c8ea7e2b84eb9ccb76370e569298875a7c5e3e71baf49057a \ + --hash=sha256:a5c022bb0d453192426221605efc865373dde43b17822a264671c53b068ac20c \ + --hash=sha256:abb4785894936d7682635726613c44578c420a096729f1978cd061a7e72d5275 \ + --hash=sha256:b872c86d8d71827235c7077461c502feb2db3f87d9d6d5a9daa64287d75e4fa0 \ + --hash=sha256:bf37b72834e7239cf84d4a0b2c050e7f9e48bced97bad9bdf98d26b8eb72e846 \ + --hash=sha256:c0c431e4be5c1a0c6654e0c31c661cd89e0ca956ef65305c3c3fd96f4e72ca39 \ + --hash=sha256:c5726eec789ee38f2c53b10b1821457b82274f81f4f746bb1e666d8741fcfadb \ + --hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ + --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ + --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # pydantic @@ -3303,9 +3452,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt @@ -3501,7 +3650,7 @@ xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'x86_64' \ +xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index e6fb678b05a0..8cd9f82ef8e0 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -426,9 +426,9 @@ colorful==0.5.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -968,9 +968,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # fastapi # openai -huggingface-hub==0.32.6 \ - --hash=sha256:32cde9558c965477556edca72352621def7fbc42e167aaf33f4cdb9af65bb28b \ - --hash=sha256:8e960f23dc57519c6c2a0bbc7e9bc030eaa14e7f2d61f8e68fd3d025dabed2fa +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # tokenizers @@ -1301,9 +1301,9 @@ meson==1.8.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.0 \ - --hash=sha256:0c999c9adcd4b46fd6d5ba9b2cd8b4eab9f4a78719de9c3eff47055989bafc3f \ - --hash=sha256:7abde886f9346a395e017a12c8f943eb9832f14c554b4128dfd61e96866f5af5 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -1743,14 +1743,12 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -1793,19 +1791,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.9 \ - --hash=sha256:54a0b901959e2de5124384925846bac2ea0a6dab3de7e501ba6aecf5e293fe04 \ - --hash=sha256:71149e46a72554ae17de46bca6c11ba540c19c89904bd4cc3111aac6edf10315 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2215,6 +2206,153 @@ pyasn1-modules==0.3.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # google-auth +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + --hash=sha256:500afcb717a84e262c68f0baf9c56abaf97e2f058ba80c5546a9ed21ff4b705f \ + --hash=sha256:51a24d21a21a959eb8884f24346a6480c4bd624aa7976c9761504d847a2f9364 \ + --hash=sha256:5202939f188cf150e1bc56f8b0da54a2cae2dcb9b27f4f7d313b358f707e1f7f \ + --hash=sha256:5dac8d885342d49f6306e666688288c50515d0743e36a4405b1413feb43f39cc \ + --hash=sha256:614561297ad14de315dd27381fd6ec3ea4de0d8206ba4c7678449afaff8a2009 \ + --hash=sha256:62dc454c50ed78256fdd477b828ecc2be6a00a0f0659f7c3914b33e1bc81170a \ + --hash=sha256:62e42807bde3a7d18a0a7d35bd7fb1fe68f99c897eea8d3ea3aa0791b91358eb \ + --hash=sha256:644f393e9bb7f3bacc5cbd3534d02e1b660b258fc8315ecae74d2e23265e5c1f \ + --hash=sha256:65567e8f4f31cf6e1a8cc570723cc6b18adda79b4387a18f8d93c157ff5f1979 \ + --hash=sha256:66b5b68e2fa41f9b267136fd788e1715c96bed37a2c0f73abf8741a50f196997 \ + --hash=sha256:678f573ea1d06183b32d0336044fb5db60396333599dffcce28ffa3b68319fc0 \ + --hash=sha256:6932053b71e6d4db62c0b89255caee88f796eadfb3c7d650a4637a3c849cc730 \ + --hash=sha256:6a1af8d387dbce05944b65a618639918804b2d4438fed32bb7f06d9c90dbed01 \ + --hash=sha256:6b426d106ba451fe04e6841bc962332793e5a951ebe23378ee61938b65824095 \ + --hash=sha256:6e15e0eaf665bcc5427c1f32f604ed02d599b7777e8b7f8391e943a8d7bc443f \ + --hash=sha256:72808de9aab43112deb04003e5e0d060c7cb1a60c3dcf74bbf61a9d7c596c5af \ + --hash=sha256:732c5a4f7b389e6655375e75bde6fbab15508c8ae819bf41bda2c0202a59ff19 \ + --hash=sha256:734e3dea40a30225b53d8d341ee4308f7b0182f1a8ce3f4309575c0af07b9902 \ + --hash=sha256:7726e655134132dde59bddabcd74d140f818eeecc70d149267267d5e29335193 \ + --hash=sha256:77339b232fbaf7f6ecbfb8a31aec25f3eeca8bc938188180c730d2084e4a246a \ + --hash=sha256:78165489e1026b80d3914488de51d28b247d9c75dbf8f2d0bf81c88d1636eb81 \ + --hash=sha256:7c07f62da3feb1aa0423454b28ecda86694cb8d3222a321d9c0e730e9a4368c1 \ + --hash=sha256:7d83ab7822da5740f1d17c72fb451e9468e72976b89cfb9eb4f6a5b66491b5dc \ + --hash=sha256:7fb782f3ceb30e24dc4d8d99c1221a381917bffaf85d29542f0f25b51829987c \ + --hash=sha256:8030ad8fe74c034cfad9a9a037c7b6ee85094b522c8b94c05e81df46e9a0eb5c \ + --hash=sha256:80e85e5ca298d3a9916c47e6fb0c47ebe5bf7996eac6983c887027b378e9bcae \ + --hash=sha256:82efee94d6bd93f7787afc42f260fa0b60e24c8dc7f172bd45cfe99fa39567ff \ + --hash=sha256:8a9f1b614efd41240c9bb2cf66031aa7a2c3c092c928f9d429511fe18d4a3fd1 \ + --hash=sha256:8b7765515d7e0a48ddfde914dc2b1782234ac188ce3fab173b078a6e82ec7017 \ + --hash=sha256:8bf440f8332de0ed863c51de332c2487011fcce448acd1f32549a01ca4550d74 \ + --hash=sha256:8d4bf9c94bc948cb3c3b0e38074d0de04f23d35765a306059417751e982da384 \ + --hash=sha256:8d81fc9f6d7d79708cb853a599e1143740c0c359235484c15b1f436c50e891cc \ + --hash=sha256:8db9acf239bb71a888748bc9ffc12c97c1079393a38bc180c0548330746ece94 \ + --hash=sha256:8ec003224f6e36e8e607a1bb8df182b367c87ca7135788ffe89173c7d5085005 \ + --hash=sha256:8f52c4c29a35381f3ae06d520144a0707132f2cbfb53bc907b74811734bc4ef3 \ + --hash=sha256:9101ee786648fc45b4765626eaf71114dd021b73543d8a3ab975df3dfdcca667 \ + --hash=sha256:9117f9be7f9a190e245dd7045b760b775d0b11ccc4414925cf725cdee807d5f6 \ + --hash=sha256:91c1041a9660dccf55e559efaa2025fd62f0217dc41d805f3ca1340dd1dff317 \ + --hash=sha256:92b2305ac2442b451e19d42c4650c3bb090d6aa9abd87c0c4d700267d8fa96b1 \ + --hash=sha256:97e25723ecf7c439f650192d43699aab0a22850dca9cc6d60377c42bb4df7812 \ + --hash=sha256:988e987f8cfe2dfde7475baf5f12f82b2f454841aef3a174b694a57a92d5dfb0 \ + --hash=sha256:9ac21c1943a15552347305943b1d0d6298fb64a98b67c750cb8fb2c190cdefd4 \ + --hash=sha256:9d5202cd4a8a0cd1b28c11730cf5da3c014450ad03732b5da03fac89b7693ec2 \ + --hash=sha256:9fdabd0d7fda2517ff36559189f7c00b376feafbd5d23bf5914e256246d29d7e \ + --hash=sha256:a0206b4b65f7cc0e0b6c26428765d3f0bae1312cb9d0fcebfad7cc24dfae4788 \ + --hash=sha256:a20cff09b13cb8b72b35a9dd12173a7e3bd8e54efb9a708680014562ba47c648 \ + --hash=sha256:a230b64474f02075608d81fc19073c86cb4e63111d5c94f8bf77a3f2c0569956 \ + --hash=sha256:a306cb9ae5a6361e094e5617454dd26d19c896ccfc67d0357d96b96c5197547a \ + --hash=sha256:a4eb94f63a562fc2f4759db5b0acbbf87afc12ab2d430a20fa5fbdee8138a37c \ + --hash=sha256:a6b22975ff4e2dc73f86d3e648f16a48cb9e7c7f4b80bac43bd9e5332259cfc4 \ + --hash=sha256:a7ae7a30be0d50d4163293025935d390d3fe28e735559d051511b7f0b5339437 \ + --hash=sha256:aa4232a7082cca16db5de64f30056702d2d4ee4a5da1e2bbf9fd59bd3a67baed \ + --hash=sha256:ab02c31afe58b03d55a66fd9bd2cc4a04698b6bb2c33f68955aaec151542d838 \ + --hash=sha256:ab0b93ea93cf1f56ca4727d678a9c0144c2653e9de4e93e789a92b4e098c07d9 \ + --hash=sha256:ac03f8eba72dd6da15dc25bb3e1b440ad21f5cb7ee2e6ffbbae4bd1b206bb503 \ + --hash=sha256:af41e2e6015f980d15eae0df0c365df94c7587790aea236ba0bf48c65a9fa04e \ + --hash=sha256:b0bdb646f859132c68230efabc09fd8828ca20c59de7d53082f372c4b8af7aaa \ + --hash=sha256:b19e169ea1b8a15a03d3a379116eb7b17740803e89bc6eb3efcc74f532323cf7 \ + --hash=sha256:b1cef7bb7f0a84f3ffa97f431e65924bdaa95bf1696006fd7a391aaa8aa67753 \ + --hash=sha256:b2ab7b4535abc72d40114540cae32c9e07d76ffba132bdd5d4fff5fe340c5801 \ + --hash=sha256:b4ccb438c4208ff41a260b70994c30a8631051f3b025cdca48be586b068b8f49 \ + --hash=sha256:b881e99edaa4e5c90a34049573947c00b95b2ac06e670082f1f2f90edc602fff \ + --hash=sha256:ba4184ea43aa88a5ab8d6d15db284689765c7487ff3810764d8d823b545158e6 \ + --hash=sha256:bbdcf77e424c91389f22bf10158851ce05c602c50a74ccf5943ee3f5ef4ba489 \ + --hash=sha256:bc06186cfa9a43e871fdca47c1379bdf1cfe964bd94a47f0919a1ffab195b39e \ + --hash=sha256:bceafd1450436dfca597958bd77cc619ed79311310b2a9271ce7a8069bdcb139 \ + --hash=sha256:bd1de051b9b032d84e799af498b44499e90122a095da7dad89c2873518473c67 \ + --hash=sha256:bee30d01e59cfff7e241e9d94cf396af852bb36339b5a7d960e2583598128556 \ + --hash=sha256:bf8213e6b8c658df2971c5a56df42202d7f89d5d6312d066d49923cc98a39299 \ + --hash=sha256:c15765be7921914d0dad0a2fb57c35a1811e1cbe2d1e47c39e0c66ed7db52898 \ + --hash=sha256:c1b16691be4b63be973804de22b4b79e40c439e54ad9587f86f31f958b518625 \ + --hash=sha256:c36e214c25fb8dd4f3ecdaa0ff90073b793056e0065cc0a1e1e5525a6866a1ad \ + --hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2233,9 +2371,9 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt @@ -2247,96 +2385,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \ - --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \ - --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \ - --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \ - --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \ - --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \ - --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \ - --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \ - --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \ - --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \ - --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \ - --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \ - --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \ - --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \ - --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \ - --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \ - --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \ - --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \ - --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \ - --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \ - --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \ - --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \ - --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \ - --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \ - --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \ - --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \ - --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \ - --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \ - --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \ - --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \ - --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \ - --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \ - --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \ - --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \ - --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \ - --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \ - --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \ - --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \ - --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \ - --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \ - --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \ - --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \ - --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \ - --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \ - --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \ - --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \ - --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \ - --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \ - --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \ - --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \ - --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \ - --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \ - --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \ - --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \ - --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \ - --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \ - --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \ - --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \ - --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \ - --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \ - --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ + --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ + --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ + --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ + --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ + --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ + --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ + --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ + --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ + --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ + --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ + --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ + --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ + --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ + --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ + --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ + --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ + --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ + --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ + --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ + --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ + --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ + --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ + --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ + --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ + --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ + --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ + --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ + --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ + --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ + --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ + --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ + --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ + --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ + --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ + --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ + --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ + --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ + --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ + --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ + --hash=sha256:68950bc08f9735306322bfc16a18391fcaac99ded2509e1cc41d03ccb6013cfe \ + --hash=sha256:68ef5377eb582fa4343c9d0b57a5b094046d447b4c73dd9fbd9ffb216f829e7d \ + --hash=sha256:6b4c19525c3538fbc0bbda6229f9682fb8199ce9ac37395880e6952798e00373 \ + --hash=sha256:6bb69bf3b6500f195c3deb69c1205ba8fc3cb21d1915f1f158a10d6b1ef29b6a \ + --hash=sha256:6e19401742ed7b69e51d8e4df3c03ad5ec65a83b36244479fd70edde2828a5d9 \ + --hash=sha256:6f4a53af9e81d757756508b57cae1cf28293f0f31b9fa2bfcb416cc7fb230f9d \ + --hash=sha256:6fda87808429c520a002a85d6e7cdadbf58231d60e96260976c5b8f9a12a8e13 \ + --hash=sha256:78f841523729e43e3928a364ec46e2e3f80e6625a4f62aca5c345f3f626c6e8a \ + --hash=sha256:7a6ebfac28fd51890a61df36ef202adbd77d00ee5aca4a3dadb3d9ed49cfb929 \ + --hash=sha256:7b0202ebf2268954090209a84f9897345719e46a57c5f2c9b7b250ca0a9d3e63 \ + --hash=sha256:8117839a9bdbba86e7f9df57018fe3b96cec934c3940b591b0fd3fbfb485864a \ + --hash=sha256:82e1ad4ca170e8af4c928b67cff731b6296e6a0a0981b97b2eb7c275cc4e15bd \ + --hash=sha256:836a4bfe0cc6d36dc9a9cc1a7b391265bf6ce9d1eb1eac62ac5139f5d8d9a6fa \ + --hash=sha256:84af1cf7bfdcbc6fcf5a5f70cc9896205e0350306e4dd73d54b6a18894f79386 \ + --hash=sha256:84e35afd9e10b2698e6f2f32256678cb23ca6c1568d02628033a837638b3ed12 \ + --hash=sha256:884f1806609c2c66564082540cffc96868c5571c7c3cf3a783f63f2fb49bd3cd \ + --hash=sha256:8a150392102c402c538190730fda06f3bce654fc498865579a9f2c1d2b425833 \ + --hash=sha256:8e21d927469d04b39386255bf00d0feedead16f6253dcc85e9e10ddebc334084 \ + --hash=sha256:8e96ca781e0c01e32115912ebdf7b3fb0780ce748b80d7d28a0802fa9fbaf44e \ + --hash=sha256:8ee4c2a75af9fe21269a4a0898c5425afb01af1f5d276063f57e2ae1bc64e191 \ + --hash=sha256:91bc66f878557313c2a6bcf396e7befcffe5ab4354cfe4427318968af31143c3 \ + --hash=sha256:951e71da6c89d354572098bada5ba5b5dc3a9390c933af8a614e37755d3d1840 \ + --hash=sha256:99b2863c1365f43f74199c980a3d40f18a218fbe683dd64e470199db426c4d6a \ + --hash=sha256:9a8fbf506fde1529a1e3698198fe64bfbe2e0c09557bc6a7dcf872e7c01fec40 \ + --hash=sha256:9ce048deb1e033e7a865ca384770bccc11d44179cf09e5193a535c4c2f497bdc \ + --hash=sha256:9fe94d9d2a2b4edd7a4b22adcd45814b1b59b03feb00e56deb2e89747aec7bfe \ + --hash=sha256:a291d0b4243a259c8ea7e2b84eb9ccb76370e569298875a7c5e3e71baf49057a \ + --hash=sha256:a5c022bb0d453192426221605efc865373dde43b17822a264671c53b068ac20c \ + --hash=sha256:abb4785894936d7682635726613c44578c420a096729f1978cd061a7e72d5275 \ + --hash=sha256:b872c86d8d71827235c7077461c502feb2db3f87d9d6d5a9daa64287d75e4fa0 \ + --hash=sha256:bf37b72834e7239cf84d4a0b2c050e7f9e48bced97bad9bdf98d26b8eb72e846 \ + --hash=sha256:c0c431e4be5c1a0c6654e0c31c661cd89e0ca956ef65305c3c3fd96f4e72ca39 \ + --hash=sha256:c5726eec789ee38f2c53b10b1821457b82274f81f4f746bb1e666d8741fcfadb \ + --hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ + --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ + --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # pydantic @@ -3195,9 +3344,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt @@ -3385,7 +3534,7 @@ xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'x86_64' \ +xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index fa2af8c57b14..cc43f5c981d8 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -546,9 +546,9 @@ comm==0.2.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # ipykernel # ipywidgets -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -1247,9 +1247,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.32.3 \ - --hash=sha256:752c889ebf3a63cbd39803f6d87ccc135a463bbcb36abfa2faff0ccbf1cec087 \ - --hash=sha256:e46f7ea7fe2b5e5f67cc4e37eb201140091946a314d7c2b134a9673dadd80b6a +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # tokenizers # transformers @@ -1896,9 +1896,9 @@ meson==1.8.0 \ --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.5.4 \ - --hash=sha256:0af4124ab09d1409761e91ec61681476882d46f9418eea8908d39c01222e0f6b \ - --hash=sha256:acef3367a4386d5dd3d9e23330348bbebe90a5cbd2fc5587d8a8d13d9893e537 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2318,7 +2318,6 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 @@ -2326,7 +2325,6 @@ opentelemetry-exporter-otlp==1.26.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -2370,17 +2368,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.3 \ - --hash=sha256:761a68a7e99436dfc53cfe1f99507316aa0114ac480f0c42743b9320b7c94831 \ - --hash=sha256:9ff60bbf38c8a891c20a355b4ca1948380361e27412c3ead264de0d050fa2570 - # via vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2853,6 +2846,151 @@ pyasn1-modules==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-auth # oauth2client +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + --hash=sha256:500afcb717a84e262c68f0baf9c56abaf97e2f058ba80c5546a9ed21ff4b705f \ + --hash=sha256:51a24d21a21a959eb8884f24346a6480c4bd624aa7976c9761504d847a2f9364 \ + --hash=sha256:5202939f188cf150e1bc56f8b0da54a2cae2dcb9b27f4f7d313b358f707e1f7f \ + --hash=sha256:5dac8d885342d49f6306e666688288c50515d0743e36a4405b1413feb43f39cc \ + --hash=sha256:614561297ad14de315dd27381fd6ec3ea4de0d8206ba4c7678449afaff8a2009 \ + --hash=sha256:62dc454c50ed78256fdd477b828ecc2be6a00a0f0659f7c3914b33e1bc81170a \ + --hash=sha256:62e42807bde3a7d18a0a7d35bd7fb1fe68f99c897eea8d3ea3aa0791b91358eb \ + --hash=sha256:644f393e9bb7f3bacc5cbd3534d02e1b660b258fc8315ecae74d2e23265e5c1f \ + --hash=sha256:65567e8f4f31cf6e1a8cc570723cc6b18adda79b4387a18f8d93c157ff5f1979 \ + --hash=sha256:66b5b68e2fa41f9b267136fd788e1715c96bed37a2c0f73abf8741a50f196997 \ + --hash=sha256:678f573ea1d06183b32d0336044fb5db60396333599dffcce28ffa3b68319fc0 \ + --hash=sha256:6932053b71e6d4db62c0b89255caee88f796eadfb3c7d650a4637a3c849cc730 \ + --hash=sha256:6a1af8d387dbce05944b65a618639918804b2d4438fed32bb7f06d9c90dbed01 \ + --hash=sha256:6b426d106ba451fe04e6841bc962332793e5a951ebe23378ee61938b65824095 \ + --hash=sha256:6e15e0eaf665bcc5427c1f32f604ed02d599b7777e8b7f8391e943a8d7bc443f \ + --hash=sha256:72808de9aab43112deb04003e5e0d060c7cb1a60c3dcf74bbf61a9d7c596c5af \ + --hash=sha256:732c5a4f7b389e6655375e75bde6fbab15508c8ae819bf41bda2c0202a59ff19 \ + --hash=sha256:734e3dea40a30225b53d8d341ee4308f7b0182f1a8ce3f4309575c0af07b9902 \ + --hash=sha256:7726e655134132dde59bddabcd74d140f818eeecc70d149267267d5e29335193 \ + --hash=sha256:77339b232fbaf7f6ecbfb8a31aec25f3eeca8bc938188180c730d2084e4a246a \ + --hash=sha256:78165489e1026b80d3914488de51d28b247d9c75dbf8f2d0bf81c88d1636eb81 \ + 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--hash=sha256:b19e169ea1b8a15a03d3a379116eb7b17740803e89bc6eb3efcc74f532323cf7 \ + --hash=sha256:b1cef7bb7f0a84f3ffa97f431e65924bdaa95bf1696006fd7a391aaa8aa67753 \ + --hash=sha256:b2ab7b4535abc72d40114540cae32c9e07d76ffba132bdd5d4fff5fe340c5801 \ + --hash=sha256:b4ccb438c4208ff41a260b70994c30a8631051f3b025cdca48be586b068b8f49 \ + --hash=sha256:b881e99edaa4e5c90a34049573947c00b95b2ac06e670082f1f2f90edc602fff \ + --hash=sha256:ba4184ea43aa88a5ab8d6d15db284689765c7487ff3810764d8d823b545158e6 \ + --hash=sha256:bbdcf77e424c91389f22bf10158851ce05c602c50a74ccf5943ee3f5ef4ba489 \ + --hash=sha256:bc06186cfa9a43e871fdca47c1379bdf1cfe964bd94a47f0919a1ffab195b39e \ + --hash=sha256:bceafd1450436dfca597958bd77cc619ed79311310b2a9271ce7a8069bdcb139 \ + --hash=sha256:bd1de051b9b032d84e799af498b44499e90122a095da7dad89c2873518473c67 \ + --hash=sha256:bee30d01e59cfff7e241e9d94cf396af852bb36339b5a7d960e2583598128556 \ + --hash=sha256:bf8213e6b8c658df2971c5a56df42202d7f89d5d6312d066d49923cc98a39299 \ + --hash=sha256:c15765be7921914d0dad0a2fb57c35a1811e1cbe2d1e47c39e0c66ed7db52898 \ + --hash=sha256:c1b16691be4b63be973804de22b4b79e40c439e54ad9587f86f31f958b518625 \ + --hash=sha256:c36e214c25fb8dd4f3ecdaa0ff90073b793056e0065cc0a1e1e5525a6866a1ad \ + --hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2907,9 +3045,9 @@ pycurl==7.45.3 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt @@ -2921,96 +3059,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - 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--hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # pydantic @@ -4123,9 +4272,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index 080f830ae122..f9fd074dedcc 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -546,9 +546,9 @@ comm==0.2.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # ipykernel # ipywidgets -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -1247,9 +1247,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.32.3 \ - --hash=sha256:752c889ebf3a63cbd39803f6d87ccc135a463bbcb36abfa2faff0ccbf1cec087 \ - --hash=sha256:e46f7ea7fe2b5e5f67cc4e37eb201140091946a314d7c2b134a9673dadd80b6a +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # tokenizers # transformers @@ -1896,9 +1896,9 @@ meson==1.8.0 \ --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.5.4 \ - --hash=sha256:0af4124ab09d1409761e91ec61681476882d46f9418eea8908d39c01222e0f6b \ - --hash=sha256:acef3367a4386d5dd3d9e23330348bbebe90a5cbd2fc5587d8a8d13d9893e537 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2409,7 +2409,6 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 @@ -2417,7 +2416,6 @@ opentelemetry-exporter-otlp==1.26.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -2461,17 +2459,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.3 \ - --hash=sha256:761a68a7e99436dfc53cfe1f99507316aa0114ac480f0c42743b9320b7c94831 \ - --hash=sha256:9ff60bbf38c8a891c20a355b4ca1948380361e27412c3ead264de0d050fa2570 - # via vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2944,6 +2937,151 @@ pyasn1-modules==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-auth # oauth2client +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + --hash=sha256:500afcb717a84e262c68f0baf9c56abaf97e2f058ba80c5546a9ed21ff4b705f \ + --hash=sha256:51a24d21a21a959eb8884f24346a6480c4bd624aa7976c9761504d847a2f9364 \ + --hash=sha256:5202939f188cf150e1bc56f8b0da54a2cae2dcb9b27f4f7d313b358f707e1f7f \ + --hash=sha256:5dac8d885342d49f6306e666688288c50515d0743e36a4405b1413feb43f39cc \ + --hash=sha256:614561297ad14de315dd27381fd6ec3ea4de0d8206ba4c7678449afaff8a2009 \ + --hash=sha256:62dc454c50ed78256fdd477b828ecc2be6a00a0f0659f7c3914b33e1bc81170a \ + --hash=sha256:62e42807bde3a7d18a0a7d35bd7fb1fe68f99c897eea8d3ea3aa0791b91358eb \ + --hash=sha256:644f393e9bb7f3bacc5cbd3534d02e1b660b258fc8315ecae74d2e23265e5c1f \ + --hash=sha256:65567e8f4f31cf6e1a8cc570723cc6b18adda79b4387a18f8d93c157ff5f1979 \ + --hash=sha256:66b5b68e2fa41f9b267136fd788e1715c96bed37a2c0f73abf8741a50f196997 \ + --hash=sha256:678f573ea1d06183b32d0336044fb5db60396333599dffcce28ffa3b68319fc0 \ + --hash=sha256:6932053b71e6d4db62c0b89255caee88f796eadfb3c7d650a4637a3c849cc730 \ + --hash=sha256:6a1af8d387dbce05944b65a618639918804b2d4438fed32bb7f06d9c90dbed01 \ + --hash=sha256:6b426d106ba451fe04e6841bc962332793e5a951ebe23378ee61938b65824095 \ + --hash=sha256:6e15e0eaf665bcc5427c1f32f604ed02d599b7777e8b7f8391e943a8d7bc443f \ + --hash=sha256:72808de9aab43112deb04003e5e0d060c7cb1a60c3dcf74bbf61a9d7c596c5af \ + --hash=sha256:732c5a4f7b389e6655375e75bde6fbab15508c8ae819bf41bda2c0202a59ff19 \ + --hash=sha256:734e3dea40a30225b53d8d341ee4308f7b0182f1a8ce3f4309575c0af07b9902 \ + --hash=sha256:7726e655134132dde59bddabcd74d140f818eeecc70d149267267d5e29335193 \ + --hash=sha256:77339b232fbaf7f6ecbfb8a31aec25f3eeca8bc938188180c730d2084e4a246a \ + --hash=sha256:78165489e1026b80d3914488de51d28b247d9c75dbf8f2d0bf81c88d1636eb81 \ + --hash=sha256:7c07f62da3feb1aa0423454b28ecda86694cb8d3222a321d9c0e730e9a4368c1 \ + --hash=sha256:7d83ab7822da5740f1d17c72fb451e9468e72976b89cfb9eb4f6a5b66491b5dc \ + --hash=sha256:7fb782f3ceb30e24dc4d8d99c1221a381917bffaf85d29542f0f25b51829987c \ + --hash=sha256:8030ad8fe74c034cfad9a9a037c7b6ee85094b522c8b94c05e81df46e9a0eb5c \ + --hash=sha256:80e85e5ca298d3a9916c47e6fb0c47ebe5bf7996eac6983c887027b378e9bcae \ + --hash=sha256:82efee94d6bd93f7787afc42f260fa0b60e24c8dc7f172bd45cfe99fa39567ff \ + --hash=sha256:8a9f1b614efd41240c9bb2cf66031aa7a2c3c092c928f9d429511fe18d4a3fd1 \ + --hash=sha256:8b7765515d7e0a48ddfde914dc2b1782234ac188ce3fab173b078a6e82ec7017 \ + --hash=sha256:8bf440f8332de0ed863c51de332c2487011fcce448acd1f32549a01ca4550d74 \ + --hash=sha256:8d4bf9c94bc948cb3c3b0e38074d0de04f23d35765a306059417751e982da384 \ + --hash=sha256:8d81fc9f6d7d79708cb853a599e1143740c0c359235484c15b1f436c50e891cc \ + --hash=sha256:8db9acf239bb71a888748bc9ffc12c97c1079393a38bc180c0548330746ece94 \ + --hash=sha256:8ec003224f6e36e8e607a1bb8df182b367c87ca7135788ffe89173c7d5085005 \ + --hash=sha256:8f52c4c29a35381f3ae06d520144a0707132f2cbfb53bc907b74811734bc4ef3 \ + --hash=sha256:9101ee786648fc45b4765626eaf71114dd021b73543d8a3ab975df3dfdcca667 \ + --hash=sha256:9117f9be7f9a190e245dd7045b760b775d0b11ccc4414925cf725cdee807d5f6 \ + --hash=sha256:91c1041a9660dccf55e559efaa2025fd62f0217dc41d805f3ca1340dd1dff317 \ + --hash=sha256:92b2305ac2442b451e19d42c4650c3bb090d6aa9abd87c0c4d700267d8fa96b1 \ + --hash=sha256:97e25723ecf7c439f650192d43699aab0a22850dca9cc6d60377c42bb4df7812 \ + --hash=sha256:988e987f8cfe2dfde7475baf5f12f82b2f454841aef3a174b694a57a92d5dfb0 \ + --hash=sha256:9ac21c1943a15552347305943b1d0d6298fb64a98b67c750cb8fb2c190cdefd4 \ + --hash=sha256:9d5202cd4a8a0cd1b28c11730cf5da3c014450ad03732b5da03fac89b7693ec2 \ + --hash=sha256:9fdabd0d7fda2517ff36559189f7c00b376feafbd5d23bf5914e256246d29d7e \ + --hash=sha256:a0206b4b65f7cc0e0b6c26428765d3f0bae1312cb9d0fcebfad7cc24dfae4788 \ + --hash=sha256:a20cff09b13cb8b72b35a9dd12173a7e3bd8e54efb9a708680014562ba47c648 \ + --hash=sha256:a230b64474f02075608d81fc19073c86cb4e63111d5c94f8bf77a3f2c0569956 \ + --hash=sha256:a306cb9ae5a6361e094e5617454dd26d19c896ccfc67d0357d96b96c5197547a \ + --hash=sha256:a4eb94f63a562fc2f4759db5b0acbbf87afc12ab2d430a20fa5fbdee8138a37c \ + --hash=sha256:a6b22975ff4e2dc73f86d3e648f16a48cb9e7c7f4b80bac43bd9e5332259cfc4 \ + --hash=sha256:a7ae7a30be0d50d4163293025935d390d3fe28e735559d051511b7f0b5339437 \ + --hash=sha256:aa4232a7082cca16db5de64f30056702d2d4ee4a5da1e2bbf9fd59bd3a67baed \ + --hash=sha256:ab02c31afe58b03d55a66fd9bd2cc4a04698b6bb2c33f68955aaec151542d838 \ + --hash=sha256:ab0b93ea93cf1f56ca4727d678a9c0144c2653e9de4e93e789a92b4e098c07d9 \ + --hash=sha256:ac03f8eba72dd6da15dc25bb3e1b440ad21f5cb7ee2e6ffbbae4bd1b206bb503 \ + --hash=sha256:af41e2e6015f980d15eae0df0c365df94c7587790aea236ba0bf48c65a9fa04e \ + --hash=sha256:b0bdb646f859132c68230efabc09fd8828ca20c59de7d53082f372c4b8af7aaa \ + --hash=sha256:b19e169ea1b8a15a03d3a379116eb7b17740803e89bc6eb3efcc74f532323cf7 \ + --hash=sha256:b1cef7bb7f0a84f3ffa97f431e65924bdaa95bf1696006fd7a391aaa8aa67753 \ + --hash=sha256:b2ab7b4535abc72d40114540cae32c9e07d76ffba132bdd5d4fff5fe340c5801 \ + --hash=sha256:b4ccb438c4208ff41a260b70994c30a8631051f3b025cdca48be586b068b8f49 \ + --hash=sha256:b881e99edaa4e5c90a34049573947c00b95b2ac06e670082f1f2f90edc602fff \ + --hash=sha256:ba4184ea43aa88a5ab8d6d15db284689765c7487ff3810764d8d823b545158e6 \ + --hash=sha256:bbdcf77e424c91389f22bf10158851ce05c602c50a74ccf5943ee3f5ef4ba489 \ + --hash=sha256:bc06186cfa9a43e871fdca47c1379bdf1cfe964bd94a47f0919a1ffab195b39e \ + --hash=sha256:bceafd1450436dfca597958bd77cc619ed79311310b2a9271ce7a8069bdcb139 \ + --hash=sha256:bd1de051b9b032d84e799af498b44499e90122a095da7dad89c2873518473c67 \ + --hash=sha256:bee30d01e59cfff7e241e9d94cf396af852bb36339b5a7d960e2583598128556 \ + --hash=sha256:bf8213e6b8c658df2971c5a56df42202d7f89d5d6312d066d49923cc98a39299 \ + --hash=sha256:c15765be7921914d0dad0a2fb57c35a1811e1cbe2d1e47c39e0c66ed7db52898 \ + --hash=sha256:c1b16691be4b63be973804de22b4b79e40c439e54ad9587f86f31f958b518625 \ + --hash=sha256:c36e214c25fb8dd4f3ecdaa0ff90073b793056e0065cc0a1e1e5525a6866a1ad \ + --hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2998,9 +3136,9 @@ pycurl==7.45.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt @@ -3012,96 +3150,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \ - --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \ - --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \ - --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \ - --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \ - --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \ - --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \ - --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \ - --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \ - --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \ - --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \ - --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \ - --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \ - --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \ - --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \ - --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \ - --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \ - --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \ - --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \ - --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \ - --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \ - --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \ - --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \ - --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \ - --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \ - --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \ - --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \ - --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \ - --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \ - --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \ - --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \ - --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \ - --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \ - --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \ - --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \ - --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \ - --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \ - --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \ - --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \ - --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \ - --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \ - --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \ - --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \ - --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \ - --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \ - --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \ - --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \ - --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \ - --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \ - --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \ - --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \ - --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \ - --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \ - --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \ - --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \ - --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \ - --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \ - --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \ - --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \ - --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \ - --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + 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--hash=sha256:c5726eec789ee38f2c53b10b1821457b82274f81f4f746bb1e666d8741fcfadb \ + --hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ + --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ + --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ + --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ + --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ + --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # pydantic @@ -4234,9 +4383,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index f8ac15efce3f..194fd26d3792 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -545,9 +545,9 @@ comm==0.2.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # ipykernel # ipywidgets -compressed-tensors==0.9.4 \ - --hash=sha256:34779417ffa31a207adb0cc4fd2a86cb75e239e504fb2068e494092f4b5703b7 \ - --hash=sha256:b12e3616f06243a074f61b736596882c6549cdc3669ac48434102a4a88e8002a +compressed-tensors==0.10.2 \ + --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ + --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -1246,9 +1246,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.32.6 \ - --hash=sha256:32cde9558c965477556edca72352621def7fbc42e167aaf33f4cdb9af65bb28b \ - --hash=sha256:8e960f23dc57519c6c2a0bbc7e9bc030eaa14e7f2d61f8e68fd3d025dabed2fa +huggingface-hub==0.33.2 \ + --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ + --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f # via # tokenizers # transformers @@ -1861,9 +1861,9 @@ meson==1.8.2 \ --hash=sha256:274b49dbe26e00c9a591442dd30f4ae9da8ce11ce53d0f4682cd10a45d50f6fd \ --hash=sha256:c105816d8158c76b72adcb9ff60297719096da7d07f6b1f000fd8c013cd387af # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.0 \ - --hash=sha256:0c999c9adcd4b46fd6d5ba9b2cd8b4eab9f4a78719de9c3eff47055989bafc3f \ - --hash=sha256:7abde886f9346a395e017a12c8f943eb9832f14c554b4128dfd61e96866f5af5 +mistral-common==1.6.3 \ + --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ + --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2332,7 +2332,6 @@ opentelemetry-api==1.26.0 \ # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions - # vllm opentelemetry-exporter-otlp==1.26.0 \ --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 @@ -2340,7 +2339,6 @@ opentelemetry-exporter-otlp==1.26.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # vllm opentelemetry-exporter-otlp-proto-common==1.26.0 \ --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 @@ -2384,17 +2382,12 @@ opentelemetry-sdk==1.26.0 \ # opentelemetry-exporter-otlp-proto-grpc # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus - # vllm opentelemetry-semantic-conventions==0.47b0 \ --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opentelemetry-sdk -opentelemetry-semantic-conventions-ai==0.4.9 \ - --hash=sha256:54a0b901959e2de5124384925846bac2ea0a6dab3de7e501ba6aecf5e293fe04 \ - --hash=sha256:71149e46a72554ae17de46bca6c11ba540c19c89904bd4cc3111aac6edf10315 - # via vllm outlines==0.1.11 \ --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 @@ -2867,6 +2860,151 @@ pyasn1-modules==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-auth # oauth2client +pybase64==1.4.1 \ + --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ + --hash=sha256:02c3647d270af1a3edd35e485bb7ccfe82180b8347c49e09973466165c03d7aa \ + --hash=sha256:02ff55724616a11eebceac6c8445dadac79289ae8d1e40eed1b24aa7517fa225 \ + --hash=sha256:03fc365c601671add4f9e0713c2bc2485fa4ab2b32f0d3bb060bd7e069cdaa43 \ + --hash=sha256:04fee0f5c174212868fde97b109db8fac8249b306a00ea323531ee61c7b0f398 \ + --hash=sha256:06d4d29312746e56a89ffc7cf797e8d1c3dfc4d0ab9cf883bb3f7267a7c74b25 \ + --hash=sha256:0b0093c52bd099b80e422ad8cddf6f2c1ac1b09cb0922cca04891d736c2ad647 \ + --hash=sha256:0c226a24e4ab8eb351b1e979aca91590742515a7069347a9fe7deae31cab9442 \ + --hash=sha256:0d8b5888cc239654fe68a0db196a18575ffc8b1c8c8f670c2971a44e3b7fe682 \ + --hash=sha256:10e2cb40869fe703484ba89ae50e05d63a169f7c42db59e29f8af0890c50515d \ + --hash=sha256:12987975c58f6547eff106454c252ad19b59e5a2de3c47a9efecee1a2a15aba5 \ + --hash=sha256:15e54f9b2a1686f5bbdc4ac8440b6f6145d9699fd53aa30f347931f3063b0915 \ + --hash=sha256:164d97bbf5d69431066374a7954c178be28b030adb55089920ec60462cb05b6a \ + --hash=sha256:19ef58d36b9b32024768fcedb024f32c05eb464128c75c07cac2b50c9ed47f4a \ + --hash=sha256:1a18644fb3e940ed622738f2ee14d9a2811bb542ffd3f85c3fb661130675ac4f \ + --hash=sha256:1d34872e5aa2eff9dc54cedaf36038bbfbd5a3440fdf0bdc5b3c81c54ef151ea \ + --hash=sha256:1d8370f7930b3a8e9c8da341830898f1391a050d703f42bd2b95120664844368 \ + --hash=sha256:1ddf6366c34eb78931fd8a47c00cb886ba187a5ff8e6dbffe1d9dae4754b6c28 \ + --hash=sha256:20e575310b2ddc8f303f9a41987dc8b4c8dc6b992567bca5eda7f1ab6cf4289b \ + --hash=sha256:25b8405f632cce8b2e2f991ec2e4074b6a98ea44273cd218ffc3f88524ed162a \ + --hash=sha256:26ebcd7ccadde46ab35b16fee6f3b9478142833a164e10040b942ad5ccc8c4c0 \ + --hash=sha256:290adeb7844a5889decdf2424862179205dc4239f38cd0f87c5b56f87b87db99 \ + --hash=sha256:2a98d323e97444a38db38e022ccaf1d3e053b1942455790a93f29086c687855f \ + --hash=sha256:2cdda297e668e118f6b9ba804e858ff49e3dd945d01fdd147de90445fd08927d \ + --hash=sha256:32d518bcef00d6ea2aefe004e8e4af3eaf282a28be75aea34d800651c43dc1e1 \ + --hash=sha256:35635db0d64fcbe9b3fad265314c052c47dc9bcef8dea17493ea8e3c15b2b972 \ + --hash=sha256:389225d882a96f30f63b37fabfb36ccf9ec23f4345052acd99dec16c4e0f11ae \ + --hash=sha256:3a0433a4e76f10862817f303c2bf74371e118cb24124836bfb0d95ebc182dc97 \ + --hash=sha256:3a0fdcf13f986c82f7ef04a1cd1163c70f39662d6f02aa4e7b448dacb966b39f \ + --hash=sha256:3f645629fae78e337faaa2ad7d35ced3f65b66f66629542d374641e30b218d1f \ + --hash=sha256:426e1ab673c744012d4b072fa6dc0642ca900b5c341f5e0c3a1c30b5dac332d1 \ + --hash=sha256:4308ef7447e76169c92bf809830ab95cee52821b4ab93bde93fad449b8a6a821 \ + --hash=sha256:4471257628785296efb2d50077fb9dfdbd4d2732c3487795224dd2644216fb07 \ + --hash=sha256:45a785a3d29faf0309910d96e13c34870adb4ae43ea262868c6cf6a311936f37 \ + --hash=sha256:47737ff9eabc14b7553de6bc6395d67c5be80afcdbd25180285d13e089e40888 \ + --hash=sha256:480c0c444eb07e4855d2eeab3f91a70331b75862d7a3dce0e6d4caddbfb4c09b \ + --hash=sha256:4822576a58666c0eb5c36af032bd5dbd0c30e9612ca8c19e0af1c32a861907e4 \ + --hash=sha256:4b31da1466faf3cfa775027d161d07640f3d1c6bbc8edf3725f8833ed0b25a2f \ + --hash=sha256:4b3635e5873707906e72963c447a67969cfc6bac055432a57a91d7a4d5164fdf \ + --hash=sha256:4bccdf340c2a1d3dd1f41528f192265ddce7f8df1ee4f7b5b9163cdba0fe0ccb \ + --hash=sha256:4c87f0149c2c6b0c19746c72e146067275f632a495e7f2de9bbd38b2e48630ee \ + --hash=sha256:500afcb717a84e262c68f0baf9c56abaf97e2f058ba80c5546a9ed21ff4b705f \ + --hash=sha256:51a24d21a21a959eb8884f24346a6480c4bd624aa7976c9761504d847a2f9364 \ + --hash=sha256:5202939f188cf150e1bc56f8b0da54a2cae2dcb9b27f4f7d313b358f707e1f7f \ + --hash=sha256:5dac8d885342d49f6306e666688288c50515d0743e36a4405b1413feb43f39cc \ + --hash=sha256:614561297ad14de315dd27381fd6ec3ea4de0d8206ba4c7678449afaff8a2009 \ + --hash=sha256:62dc454c50ed78256fdd477b828ecc2be6a00a0f0659f7c3914b33e1bc81170a \ + --hash=sha256:62e42807bde3a7d18a0a7d35bd7fb1fe68f99c897eea8d3ea3aa0791b91358eb \ + --hash=sha256:644f393e9bb7f3bacc5cbd3534d02e1b660b258fc8315ecae74d2e23265e5c1f \ + --hash=sha256:65567e8f4f31cf6e1a8cc570723cc6b18adda79b4387a18f8d93c157ff5f1979 \ + --hash=sha256:66b5b68e2fa41f9b267136fd788e1715c96bed37a2c0f73abf8741a50f196997 \ + --hash=sha256:678f573ea1d06183b32d0336044fb5db60396333599dffcce28ffa3b68319fc0 \ + --hash=sha256:6932053b71e6d4db62c0b89255caee88f796eadfb3c7d650a4637a3c849cc730 \ + --hash=sha256:6a1af8d387dbce05944b65a618639918804b2d4438fed32bb7f06d9c90dbed01 \ + --hash=sha256:6b426d106ba451fe04e6841bc962332793e5a951ebe23378ee61938b65824095 \ + --hash=sha256:6e15e0eaf665bcc5427c1f32f604ed02d599b7777e8b7f8391e943a8d7bc443f \ + --hash=sha256:72808de9aab43112deb04003e5e0d060c7cb1a60c3dcf74bbf61a9d7c596c5af \ + --hash=sha256:732c5a4f7b389e6655375e75bde6fbab15508c8ae819bf41bda2c0202a59ff19 \ + --hash=sha256:734e3dea40a30225b53d8d341ee4308f7b0182f1a8ce3f4309575c0af07b9902 \ + --hash=sha256:7726e655134132dde59bddabcd74d140f818eeecc70d149267267d5e29335193 \ + --hash=sha256:77339b232fbaf7f6ecbfb8a31aec25f3eeca8bc938188180c730d2084e4a246a \ + --hash=sha256:78165489e1026b80d3914488de51d28b247d9c75dbf8f2d0bf81c88d1636eb81 \ + --hash=sha256:7c07f62da3feb1aa0423454b28ecda86694cb8d3222a321d9c0e730e9a4368c1 \ + --hash=sha256:7d83ab7822da5740f1d17c72fb451e9468e72976b89cfb9eb4f6a5b66491b5dc \ + --hash=sha256:7fb782f3ceb30e24dc4d8d99c1221a381917bffaf85d29542f0f25b51829987c \ + --hash=sha256:8030ad8fe74c034cfad9a9a037c7b6ee85094b522c8b94c05e81df46e9a0eb5c \ + --hash=sha256:80e85e5ca298d3a9916c47e6fb0c47ebe5bf7996eac6983c887027b378e9bcae \ + --hash=sha256:82efee94d6bd93f7787afc42f260fa0b60e24c8dc7f172bd45cfe99fa39567ff \ + --hash=sha256:8a9f1b614efd41240c9bb2cf66031aa7a2c3c092c928f9d429511fe18d4a3fd1 \ + --hash=sha256:8b7765515d7e0a48ddfde914dc2b1782234ac188ce3fab173b078a6e82ec7017 \ + --hash=sha256:8bf440f8332de0ed863c51de332c2487011fcce448acd1f32549a01ca4550d74 \ + --hash=sha256:8d4bf9c94bc948cb3c3b0e38074d0de04f23d35765a306059417751e982da384 \ + --hash=sha256:8d81fc9f6d7d79708cb853a599e1143740c0c359235484c15b1f436c50e891cc \ + --hash=sha256:8db9acf239bb71a888748bc9ffc12c97c1079393a38bc180c0548330746ece94 \ + --hash=sha256:8ec003224f6e36e8e607a1bb8df182b367c87ca7135788ffe89173c7d5085005 \ + --hash=sha256:8f52c4c29a35381f3ae06d520144a0707132f2cbfb53bc907b74811734bc4ef3 \ + --hash=sha256:9101ee786648fc45b4765626eaf71114dd021b73543d8a3ab975df3dfdcca667 \ + --hash=sha256:9117f9be7f9a190e245dd7045b760b775d0b11ccc4414925cf725cdee807d5f6 \ + --hash=sha256:91c1041a9660dccf55e559efaa2025fd62f0217dc41d805f3ca1340dd1dff317 \ + --hash=sha256:92b2305ac2442b451e19d42c4650c3bb090d6aa9abd87c0c4d700267d8fa96b1 \ + --hash=sha256:97e25723ecf7c439f650192d43699aab0a22850dca9cc6d60377c42bb4df7812 \ + --hash=sha256:988e987f8cfe2dfde7475baf5f12f82b2f454841aef3a174b694a57a92d5dfb0 \ + --hash=sha256:9ac21c1943a15552347305943b1d0d6298fb64a98b67c750cb8fb2c190cdefd4 \ + --hash=sha256:9d5202cd4a8a0cd1b28c11730cf5da3c014450ad03732b5da03fac89b7693ec2 \ + --hash=sha256:9fdabd0d7fda2517ff36559189f7c00b376feafbd5d23bf5914e256246d29d7e \ + --hash=sha256:a0206b4b65f7cc0e0b6c26428765d3f0bae1312cb9d0fcebfad7cc24dfae4788 \ + --hash=sha256:a20cff09b13cb8b72b35a9dd12173a7e3bd8e54efb9a708680014562ba47c648 \ + --hash=sha256:a230b64474f02075608d81fc19073c86cb4e63111d5c94f8bf77a3f2c0569956 \ + --hash=sha256:a306cb9ae5a6361e094e5617454dd26d19c896ccfc67d0357d96b96c5197547a \ + --hash=sha256:a4eb94f63a562fc2f4759db5b0acbbf87afc12ab2d430a20fa5fbdee8138a37c \ + --hash=sha256:a6b22975ff4e2dc73f86d3e648f16a48cb9e7c7f4b80bac43bd9e5332259cfc4 \ + --hash=sha256:a7ae7a30be0d50d4163293025935d390d3fe28e735559d051511b7f0b5339437 \ + --hash=sha256:aa4232a7082cca16db5de64f30056702d2d4ee4a5da1e2bbf9fd59bd3a67baed \ + --hash=sha256:ab02c31afe58b03d55a66fd9bd2cc4a04698b6bb2c33f68955aaec151542d838 \ + --hash=sha256:ab0b93ea93cf1f56ca4727d678a9c0144c2653e9de4e93e789a92b4e098c07d9 \ + --hash=sha256:ac03f8eba72dd6da15dc25bb3e1b440ad21f5cb7ee2e6ffbbae4bd1b206bb503 \ + --hash=sha256:af41e2e6015f980d15eae0df0c365df94c7587790aea236ba0bf48c65a9fa04e \ + --hash=sha256:b0bdb646f859132c68230efabc09fd8828ca20c59de7d53082f372c4b8af7aaa \ + --hash=sha256:b19e169ea1b8a15a03d3a379116eb7b17740803e89bc6eb3efcc74f532323cf7 \ + --hash=sha256:b1cef7bb7f0a84f3ffa97f431e65924bdaa95bf1696006fd7a391aaa8aa67753 \ + --hash=sha256:b2ab7b4535abc72d40114540cae32c9e07d76ffba132bdd5d4fff5fe340c5801 \ + --hash=sha256:b4ccb438c4208ff41a260b70994c30a8631051f3b025cdca48be586b068b8f49 \ + --hash=sha256:b881e99edaa4e5c90a34049573947c00b95b2ac06e670082f1f2f90edc602fff \ + --hash=sha256:ba4184ea43aa88a5ab8d6d15db284689765c7487ff3810764d8d823b545158e6 \ + --hash=sha256:bbdcf77e424c91389f22bf10158851ce05c602c50a74ccf5943ee3f5ef4ba489 \ + --hash=sha256:bc06186cfa9a43e871fdca47c1379bdf1cfe964bd94a47f0919a1ffab195b39e \ + --hash=sha256:bceafd1450436dfca597958bd77cc619ed79311310b2a9271ce7a8069bdcb139 \ + --hash=sha256:bd1de051b9b032d84e799af498b44499e90122a095da7dad89c2873518473c67 \ + --hash=sha256:bee30d01e59cfff7e241e9d94cf396af852bb36339b5a7d960e2583598128556 \ + --hash=sha256:bf8213e6b8c658df2971c5a56df42202d7f89d5d6312d066d49923cc98a39299 \ + --hash=sha256:c15765be7921914d0dad0a2fb57c35a1811e1cbe2d1e47c39e0c66ed7db52898 \ + --hash=sha256:c1b16691be4b63be973804de22b4b79e40c439e54ad9587f86f31f958b518625 \ + --hash=sha256:c36e214c25fb8dd4f3ecdaa0ff90073b793056e0065cc0a1e1e5525a6866a1ad \ + --hash=sha256:c536c6ed161e6fb19f6acd6074f29a4c78cb41c9155c841d56aec1a4d20d5894 \ + --hash=sha256:c7628c86c431e04ae192ffeff0f8ae96b70ff4c053ad666625e7d6335196ea8a \ + --hash=sha256:cc9a3f56630e707dbe7a34383943a1daefa699bc99c3250f8af9f8245056fccd \ + --hash=sha256:d1c38d9c4a7c132d45859af8d5364d3ce90975a42bd5995d18d174fb57621973 \ + --hash=sha256:d1dcddfa521fb6cbab0385032d43f0ca13212459abd6efc381b6e9847e9fbd79 \ + --hash=sha256:d1ff80e03357b09dab016f41b4c75cf06e9b19cda7f898e4f3681028a3dff29b \ + --hash=sha256:d2de043312a1e7f15ee6d2b7d9e39ee6afe24f144e2248cce942b6be357b70d8 \ + --hash=sha256:d450f8b6758f23d557097f52c09589504d80ca37730366e3a3f2335a665c5a52 \ + --hash=sha256:d9947b5e289e2c5b018ddc2aee2b9ed137b8aaaba7edfcb73623e576a2407740 \ + --hash=sha256:da66eb7cfb641486944fb0b95ab138e691ab78503115022caf992b6c89b10396 \ + --hash=sha256:e0ea46295faf5951e0bcc0859be015e9630cdc854c40dc3c5d8401da1eeb6e84 \ + --hash=sha256:e1837488c7aa9bc7ba7bb0449908e57ecfe444e3c7347a905a87450c7e523e00 \ + --hash=sha256:e45d3b174f20563878b7d745940d3a80a5c10ba556d39a5d7b9a7ed0d82c672e \ + --hash=sha256:e6b22cbc8ec3dd26791293113b9102f9887f41865e442fb228f661a8340f9461 \ + --hash=sha256:e6d1bbeea2bb98cffba2aa8eb6365798057a7dcf165b58c88c42485cd3fc21db \ + --hash=sha256:e89493fa77657e12de0ed359ce2226dff39e0012c95f750bd1bd0611c24ddfd1 \ + --hash=sha256:e8c28700ccf55348a7a4ad3554e6b4c5b83c640bfaa272fee6b4d0030566fe05 \ + --hash=sha256:ea835272570aa811e08ae17612632b057623a9b27265d44288db666c02b438dc \ + --hash=sha256:eb09bd829d4fef567505212b6bb87cd7a42b5aa2a3b83fc2bd61a188db7793e0 \ + --hash=sha256:ecc374ea70bcef1884d3745480e07d1502bfbb41ac138cc38445c58c685dee32 \ + --hash=sha256:eda1a04db3c3a5f9a8f902a3d537bac4bbc91f2f93a7e5cb4396ec50e16899d5 \ + --hash=sha256:ef8ee856500d4750105597384bf209b6d818b433cbe38a062ed1621a0e4eb155 \ + --hash=sha256:f033501b08bbfc89a725f9a283b485348df2cb7acb8c41ca52ccfa76785d9343 \ + --hash=sha256:f6634d77e2f4b559daf30234f2dc679de9de3ba88effbdc0354a68b3aa2d29d3 \ + --hash=sha256:f73a1ac604accfff484f88786197822b4b8b9c727d10854d9475704707c267f8 \ + --hash=sha256:fa5cdabcb4d21b7e56d0b2edd7ed6fa933ac3535be30c2a9cf0a2e270c5369c8 \ + --hash=sha256:fb18c6a4defe85d23b16b1e6d6c7c3038cc402adfd8af14acc774dc585e814c4 \ + --hash=sha256:fbce0df09d627ec35971aa02b14adef739be59b4c7816418d1c06c92e580d4c3 \ + --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ + --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e + # via vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a @@ -2921,9 +3059,9 @@ pycurl==7.45.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt @@ -2935,96 +3073,107 @@ pydantic==2.9.2 \ # outlines # vllm # xgrammar -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \ - --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \ - --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \ - --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \ - --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \ - --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \ - --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \ - --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \ - --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \ - --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \ - --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \ - --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \ - --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \ - --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \ - --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \ - --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \ - --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \ - --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \ - --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \ - --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \ - --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \ - --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \ - --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \ - --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \ - --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \ - --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \ - --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \ - --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \ - --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \ - --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \ - --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \ - --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \ - --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \ - --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \ - --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \ - --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \ - --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \ - --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \ - --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \ - --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \ - --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \ - --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \ - --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \ - --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \ - --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \ - --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \ - --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \ - --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \ - --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \ - --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \ - --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \ - --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \ - --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \ - --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \ - --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \ - --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \ - --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \ - --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \ - --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \ - --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \ - --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \ - --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \ - --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \ - --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \ - --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \ - --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \ - --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \ - --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \ - --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \ - --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \ - --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \ - --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \ - --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \ - --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \ - --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \ - --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \ - --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \ - --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \ - --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \ - --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \ - --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \ - --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \ - --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \ - --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \ - --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \ - --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607 +pydantic-core==2.27.0 \ + --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ + --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ + --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ + --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ + --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ + --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ + --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ + --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ + --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ + --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ + --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ + --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ + --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ + --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ + --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ + --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ + --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ + --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ + --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ + --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ + --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ + --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ + --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ + --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ + --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ + --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ + --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ + --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ + --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ + --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ + --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ + --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ + 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--hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # pydantic @@ -4125,9 +4274,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -vllm==0.9.0.1 \ - --hash=sha256:a1b4e9a832241f981c0b2cbdc1daca71d3ade32f083ec6dcb0ead58a882e9fca \ - --hash=sha256:b581df16f68f871773cf57fe8cc7737808a8745f94971e691b4113ba3b76c304 +vllm==0.9.2 \ + --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ + --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/setup.py b/python/setup.py index 871acfa9d0a7..4ca0321e859a 100644 --- a/python/setup.py +++ b/python/setup.py @@ -357,7 +357,7 @@ def get_packages(self): setup_spec.extras["llm"] = list( set( [ - "vllm>=0.9.0.1", + "vllm>=0.9.2", "jsonref>=1.1.0", "jsonschema", "ninja", diff --git a/release/llm_tests/serve/test_llm_serve_integration.py b/release/llm_tests/serve/test_llm_serve_integration.py index c88dc8044b19..f3bb6f7c0831 100644 --- a/release/llm_tests/serve/test_llm_serve_integration.py +++ b/release/llm_tests/serve/test_llm_serve_integration.py @@ -68,11 +68,13 @@ def remote_model_app(request): ), "engine_kwargs": dict( tensor_parallel_size=2, - pipeline_parallel_size=2, + # TODO(lk-chen): Enable PP after + # https://github.com/vllm-project/vllm/issues/20647 being fixed + pipeline_parallel_size=1, gpu_memory_utilization=0.92, dtype="auto", max_num_seqs=40, - max_model_len=16384, + max_model_len=8192, enable_chunked_prefill=True, enable_prefix_caching=True, trust_remote_code=remote_code, From acd5363d4c6c067ddd867bb14757b9483f3fe4f2 Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Wed, 9 Jul 2025 06:27:30 -0700 Subject: [PATCH 0107/1566] Add label selector observability to placement group tables and actor and task detail pages (#54292) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Follow-up to https://github.com/ray-project/ray/pull/53423 Missed a few places in the UI. Also updates placement group tables to use the same code preview component as the actor and tasks tables. Placement group table ![Screenshot 2025-07-02 at 4 00 53 PM](https://github.com/user-attachments/assets/8de97470-abda-4680-b2fb-a4f90add0063) ![Screenshot 2025-07-02 at 4 00 56 PM](https://github.com/user-attachments/assets/a3c37e6f-c9db-4b37-b873-a5fbbd3012d7) Actor detail ![Screenshot 2025-07-02 at 4 01 05 PM](https://github.com/user-attachments/assets/839cdaea-b441-4380-9c77-4ccb4ebfe563) Task detail ![Screenshot 2025-07-02 at 4 01 19 PM](https://github.com/user-attachments/assets/aa12461c-a192-4114-a7fd-824613b9c6e6) --------- Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../PlacementGroupTable.component.test.tsx | 390 ++++++++++++++++++ .../src/components/PlacementGroupTable.tsx | 43 +- .../client/src/pages/actor/ActorDetail.tsx | 46 ++- .../client/src/pages/task/TaskPage.tsx | 16 + .../client/src/type/placementGroup.ts | 3 + 5 files changed, 491 insertions(+), 7 deletions(-) create mode 100644 python/ray/dashboard/client/src/components/PlacementGroupTable.component.test.tsx diff --git a/python/ray/dashboard/client/src/components/PlacementGroupTable.component.test.tsx b/python/ray/dashboard/client/src/components/PlacementGroupTable.component.test.tsx new file mode 100644 index 000000000000..9f2d55f99567 --- /dev/null +++ b/python/ray/dashboard/client/src/components/PlacementGroupTable.component.test.tsx @@ -0,0 +1,390 @@ +import { render, screen } from "@testing-library/react"; +import userEvent from "@testing-library/user-event"; +import React from "react"; +import { PlacementGroup, PlacementGroupState } from "../type/placementGroup"; +import { TEST_APP_WRAPPER } from "../util/test-utils"; +import PlacementGroupTable from "./PlacementGroupTable"; + +const MOCK_PLACEMENT_GROUPS: PlacementGroup[] = [ + { + placement_group_id: "pg-123456789", + name: "MyPlacementGroup1", + creator_job_id: "job-987654321", + state: PlacementGroupState.CREATED, + stats: { + scheduling_state: "SUCCESS", + }, + bundles: [ + { + bundle_id: "bundle-1", + node_id: "node-1", + unit_resources: { + cpu: 4, + memory: 8192, + }, + label_selector: { + "test-label-key": "test-label-value", + }, + }, + { + bundle_id: "bundle-2", + node_id: null, + unit_resources: { + cpu: 2, + memory: 4096, + }, + label_selector: null, + }, + ], + }, + { + placement_group_id: "pg-987654321", + name: "MyPlacementGroup2", + creator_job_id: "job-123456789", + state: PlacementGroupState.PENDING, + stats: { + scheduling_state: "PENDING", + }, + bundles: [ + { + bundle_id: "bundle-3", + node_id: "node-2", + unit_resources: { + cpu: 8, + memory: 16384, + gpu: 1, + }, + label_selector: { + "gpu-required": "true", + }, + }, + ], + }, + { + placement_group_id: "pg-555666777", + name: "MyPlacementGroup3", + creator_job_id: "job-987654321", + state: PlacementGroupState.REMOVED, + stats: null, + bundles: [ + { + bundle_id: "bundle-4", + node_id: null, + unit_resources: {}, + label_selector: {}, + }, + ], + }, +]; + +// These tests are slow because they involve a lot of interactivity. +// Clicking various buttons and waiting for the table to update. +// So we increase the timeout to 40 seconds. +jest.setTimeout(40000); + +describe("PlacementGroupTable", () => { + it("renders a table of placement groups with all columns", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that all column headers are present + const idHeaders = screen.getAllByText("ID"); + expect(idHeaders.length).toBeGreaterThan(0); + + const nameHeaders = screen.getAllByText("Name"); + expect(nameHeaders.length).toBeGreaterThan(0); + + const jobIdHeaders = screen.getAllByText("Job Id"); + expect(jobIdHeaders.length).toBeGreaterThan(0); + + const stateHeaders = screen.getAllByText("State"); + expect(stateHeaders.length).toBeGreaterThan(0); + + const reservedResourcesHeaders = screen.getAllByText("Reserved Resources"); + expect(reservedResourcesHeaders.length).toBeGreaterThan(0); + + const labelSelectorHeaders = screen.getAllByText("Label Selector"); + expect(labelSelectorHeaders.length).toBeGreaterThan(0); + + const schedulingDetailHeaders = screen.getAllByText("Scheduling Detail"); + expect(schedulingDetailHeaders.length).toBeGreaterThan(0); + + // Check that placement group data is displayed + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + expect(screen.getByText("MyPlacementGroup1")).toBeInTheDocument(); + const jobIdElements = screen.getAllByText("job-987654321"); + expect(jobIdElements.length).toBeGreaterThan(0); + expect(screen.getByText("SUCCESS")).toBeInTheDocument(); + }); + + it("renders placement groups filtered by placement group ID", async () => { + const user = userEvent.setup(); + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Get the input directly by its label + const input = screen.getByLabelText("Placement group ID"); + + // Filter by placement group ID + await user.type(input, "pg-123456789"); + + // Wait for the filter to be applied + await new Promise((resolve) => setTimeout(resolve, 100)); + + // Check that only the filtered placement group is shown + const pg123Elements = screen.getAllByText("pg-123456789"); + expect(pg123Elements.length).toBeGreaterThan(0); + + // Check that other placement groups are not shown + expect(screen.queryByText("pg-987654321")).not.toBeInTheDocument(); + expect(screen.queryByText("pg-555666777")).not.toBeInTheDocument(); + }); + + it("renders placement groups filtered by state", async () => { + const user = userEvent.setup(); + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Get the input directly by its label + const input = screen.getByLabelText("State"); + + // Filter by state + await user.type(input, "CREATED"); + + // Wait for the filter to be applied + await new Promise((resolve) => setTimeout(resolve, 100)); + + // Check that only the filtered placement group is shown + expect(screen.queryByText("pg-123456789")).toBeInTheDocument(); + expect(screen.queryByText("pg-987654321")).not.toBeInTheDocument(); + expect(screen.queryByText("pg-555666777")).not.toBeInTheDocument(); + }); + + it("renders placement groups filtered by job ID", async () => { + const user = userEvent.setup(); + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Get the input directly by its label + const input = screen.getByLabelText("Job Id"); + + // Filter by job ID + await user.type(input, "job-987654321"); + + // Wait for the filter to be applied + await new Promise((resolve) => setTimeout(resolve, 100)); + + // Check that only the filtered placement groups are shown + expect(screen.queryByText("pg-123456789")).toBeInTheDocument(); + expect(screen.queryByText("pg-987654321")).not.toBeInTheDocument(); + expect(screen.queryByText("pg-555666777")).toBeInTheDocument(); + }); + + it("renders placement groups filtered by name", async () => { + const user = userEvent.setup(); + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Get the input directly by its label + const input = screen.getByLabelText("Name"); + + // Filter by name + await user.type(input, "MyPlacementGroup1"); + + // Wait for the filter to be applied + await new Promise((resolve) => setTimeout(resolve, 100)); + + // Check that only the filtered placement group is shown + const nameElements = screen.getAllByText("MyPlacementGroup1"); + expect(nameElements.length).toBeGreaterThan(0); + + // Check that other placement groups are not shown + expect(screen.queryByText("MyPlacementGroup2")).not.toBeInTheDocument(); + expect(screen.queryByText("MyPlacementGroup3")).not.toBeInTheDocument(); + }); + + it("renders placement groups with pagination", async () => { + const user = userEvent.setup(); + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that pagination controls are present + expect(screen.getByRole("navigation")).toBeInTheDocument(); + + // Change page size + const pageSizeInput = screen.getByLabelText("Page Size"); + await user.clear(pageSizeInput); + await user.type(pageSizeInput, "2"); + + // Verify pagination works + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + expect(screen.getByText("pg-987654321")).toBeInTheDocument(); + expect(screen.queryByText("pg-555666777")).not.toBeInTheDocument(); + }); + + it("renders placement groups with job ID prop", () => { + render( + , + { + wrapper: TEST_APP_WRAPPER, + }, + ); + + // Check that the job ID filter is pre-populated + const jobIdFilter = screen.getByLabelText("Job Id"); + expect(jobIdFilter).toHaveValue("job-987654321"); + }); + + it("renders placement groups with empty bundles", () => { + const placementGroupsWithEmptyBundles = [ + { + ...MOCK_PLACEMENT_GROUPS[0], + bundles: [], + }, + ]; + + render( + , + { + wrapper: TEST_APP_WRAPPER, + }, + ); + + // Check that empty bundles are handled gracefully + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + // Check that empty resources are handled - might be rendered as "[]" or not at all + const emptyResourceElements = screen.getAllByText("[]"); + expect(emptyResourceElements.length).toBeGreaterThan(0); + }); + + it("renders placement groups with null stats", () => { + const placementGroupsWithNullStats = [ + { + ...MOCK_PLACEMENT_GROUPS[0], + stats: null, + }, + ]; + + render( + , + { + wrapper: TEST_APP_WRAPPER, + }, + ); + + // Check that null stats are handled gracefully + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + expect(screen.getByText("-")).toBeInTheDocument(); // Null scheduling detail + }); + + it("renders placement groups with empty name", () => { + const placementGroupsWithEmptyName = [ + { + ...MOCK_PLACEMENT_GROUPS[0], + name: "", + }, + ]; + + render( + , + { + wrapper: TEST_APP_WRAPPER, + }, + ); + + // Check that empty names are handled gracefully + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + expect(screen.getByText("-")).toBeInTheDocument(); // Empty name + }); + + it("renders state counter for placement groups", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that state counter is present by looking for the total count + expect(screen.getByText(/x 3/)).toBeInTheDocument(); // Total count of 3 placement groups + }); + + it("renders resource requirements as JSON dialog", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that resource requirements are rendered as dialog buttons + // Look for the button text or check that the table cell contains resource data + const resourceCells = screen.getAllByText(/cpu|memory|gpu/i); + expect(resourceCells.length).toBeGreaterThan(0); + }); + + it("renders label selector as JSON dialog", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that label selector is rendered as dialog buttons + // Look for the button text or check that the table cell contains label data + const labelCells = screen.getAllByText(/test-label-key|gpu-required/i); + expect(labelCells.length).toBeGreaterThan(0); + }); + + it("handles placement groups with different states", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that different states are displayed by looking for the placement group rows + expect(screen.getByText("pg-123456789")).toBeInTheDocument(); + expect(screen.getByText("pg-987654321")).toBeInTheDocument(); + expect(screen.getByText("pg-555666777")).toBeInTheDocument(); + + // Check that the table contains the expected states (using getAllByText to handle multiple instances) + const createdElements = screen.getAllByText("CREATED"); + const pendingElements = screen.getAllByText("PENDING"); + const removedElements = screen.getAllByText("REMOVED"); + + expect(createdElements.length).toBeGreaterThan(0); + expect(pendingElements.length).toBeGreaterThan(0); + expect(removedElements.length).toBeGreaterThan(0); + }); + + it("renders empty table when no placement groups provided", () => { + render(, { + wrapper: TEST_APP_WRAPPER, + }); + + // Check that column headers are still present by looking for table headers specifically + const tableHeaders = screen.getAllByText("ID"); + expect(tableHeaders.length).toBeGreaterThan(0); + + const nameHeaders = screen.getAllByText("Name"); + expect(nameHeaders.length).toBeGreaterThan(0); + + const jobIdHeaders = screen.getAllByText("Job Id"); + expect(jobIdHeaders.length).toBeGreaterThan(0); + + const stateHeaders = screen.getAllByText("State"); + expect(stateHeaders.length).toBeGreaterThan(0); + + const reservedResourcesHeaders = screen.getAllByText("Reserved Resources"); + expect(reservedResourcesHeaders.length).toBeGreaterThan(0); + + const labelSelectorHeaders = screen.getAllByText("Label Selector"); + expect(labelSelectorHeaders.length).toBeGreaterThan(0); + + const schedulingDetailHeaders = screen.getAllByText("Scheduling Detail"); + expect(schedulingDetailHeaders.length).toBeGreaterThan(0); + + // Check that no data rows are present + expect(screen.queryByText("pg-123456789")).not.toBeInTheDocument(); + }); +}); diff --git a/python/ray/dashboard/client/src/components/PlacementGroupTable.tsx b/python/ray/dashboard/client/src/components/PlacementGroupTable.tsx index ebb3abdce215..87fc37cd6938 100644 --- a/python/ray/dashboard/client/src/components/PlacementGroupTable.tsx +++ b/python/ray/dashboard/client/src/components/PlacementGroupTable.tsx @@ -15,11 +15,11 @@ import { import Autocomplete from "@mui/material/Autocomplete"; import Pagination from "@mui/material/Pagination"; import React, { useState } from "react"; +import { CodeDialogButtonWithPreview } from "../common/CodeDialogButton"; import rowStyles from "../common/RowStyles"; import { sliceToPage } from "../common/util"; import { Bundle, PlacementGroup } from "../type/placementGroup"; import { useFilter } from "../util/hook"; -import OverflowCollapsibleCell from "./OverflowCollapsibleCell"; import StateCounter from "./StatesCounter"; import { StatusChip } from "./StatusChip"; @@ -30,12 +30,39 @@ const BundleResourceRequirements = ({ sx?: SxProps; }) => { const resources = bundles.map(({ unit_resources }) => unit_resources); - const resourceString = - resources.length === 0 - ? "-" - : resources.map((resource) => JSON.stringify(resource)).join(", "); + return ( + + {Object.entries(resources).length > 0 ? ( + + ) : ( + "[]" + )} + + ); +}; - return ; +const LabelSelector = ({ + bundles, +}: { + bundles: Bundle[]; + sx?: SxProps; +}) => { + const labelSelector = bundles.map(({ label_selector }) => label_selector); + return ( + + {Object.entries(labelSelector).length > 0 ? ( + + ) : ( + "[]" + )} + + ); }; const PlacementGroupTable = ({ @@ -61,6 +88,7 @@ const PlacementGroupTable = ({ { label: "Job Id" }, { label: "State" }, { label: "Reserved Resources" }, + { label: "Label Selector" }, { label: "Scheduling Detail" }, ]; @@ -180,6 +208,9 @@ const PlacementGroupTable = ({ + + + {stats ? stats.scheduling_state : "-"} diff --git a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx index 43d70c617b96..2e42384d1151 100644 --- a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx +++ b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx @@ -1,7 +1,10 @@ import { Box } from "@mui/material"; import React from "react"; import { Outlet } from "react-router-dom"; -import { CodeDialogButton } from "../../common/CodeDialogButton"; +import { + CodeDialogButton, + CodeDialogButtonWithPreview, +} from "../../common/CodeDialogButton"; import { CollapsibleSection } from "../../common/CollapsibleSection"; import { DurationText } from "../../common/DurationText"; import { formatDateFromTimeMs } from "../../common/formatUtils"; @@ -220,6 +223,47 @@ const ActorDetailPage = () => { ), }, + { + label: "Required Resources", + content: ( + + {Object.entries(actorDetail.requiredResources || {}).length > + 0 ? ( + + ) : ( + "{}" + )} + + ), + }, + { + label: "Label Selector", + content: ( + + {Object.entries(actorDetail.labelSelector || {}).length > 0 ? ( + + ) : ( + "{}" + )} + + ), + }, ]} /> diff --git a/python/ray/dashboard/client/src/pages/task/TaskPage.tsx b/python/ray/dashboard/client/src/pages/task/TaskPage.tsx index 31bd5f4b9b0a..e99dcbb46413 100644 --- a/python/ray/dashboard/client/src/pages/task/TaskPage.tsx +++ b/python/ray/dashboard/client/src/pages/task/TaskPage.tsx @@ -90,6 +90,7 @@ const TaskPageContents = ({ func_or_class_name, name, call_site, + label_selector, } = task; const isTaskActive = task.state === "RUNNING" && task.worker_id; @@ -195,6 +196,21 @@ const TaskPageContents = ({ } ), }, + { + label: "Label Selector", + content: ( + + {Object.entries(label_selector || {}).length > 0 ? ( + + ) : ( + "{}" + )} + + ), + }, { label: "Started at", content: { diff --git a/python/ray/dashboard/client/src/type/placementGroup.ts b/python/ray/dashboard/client/src/type/placementGroup.ts index 42e71162abd2..db9642d0cc4d 100644 --- a/python/ray/dashboard/client/src/type/placementGroup.ts +++ b/python/ray/dashboard/client/src/type/placementGroup.ts @@ -12,6 +12,9 @@ export type Bundle = { unit_resources: { [key: string]: number; }; + label_selector?: { + [key: string]: string; + } | null; }; export type PlacementGroup = { From 44242576ed70bf012f963a215986fb1efa678755 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 9 Jul 2025 08:28:06 -0500 Subject: [PATCH 0108/1566] [core] Delete old skipped tests (#54427) See inline comments for each. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor.py | 22 --- python/ray/tests/test_advanced_8.py | 33 ---- python/ray/tests/test_cancel.py | 170 ------------------ python/ray/tests/test_client.py | 2 - .../ray/tests/test_kill_raylet_signal_log.py | 7 - python/ray/tests/test_multinode_failures_2.py | 66 ------- python/ray/tests/test_object_manager.py | 89 --------- python/ray/tests/test_shuffle.py | 21 --- 8 files changed, 410 deletions(-) diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index 91eabcf67d17..b1ff97c2a671 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -1,4 +1,3 @@ -import datetime import os import random import sys @@ -1132,27 +1131,6 @@ def get_actor_ref(self): assert ray.get(b_list[0].doit.remote()) == 2 -@pytest.mark.skip("This test is just used to print the latency of creating 100 actors.") -def test_actor_creation_latency(ray_start_regular_shared): - # This test is just used to test the latency of actor creation. - @ray.remote - class Actor: - def get_value(self): - return 1 - - start = datetime.datetime.now() - actor_handles = [Actor.remote() for _ in range(100)] - actor_create_time = datetime.datetime.now() - for actor_handle in actor_handles: - ray.get(actor_handle.get_value.remote()) - end = datetime.datetime.now() - print( - "actor_create_time_consume = {}, total_time_consume = {}".format( - actor_create_time - start, end - start - ) - ) - - @pytest.mark.parametrize("enable_concurrency_group", [True, False]) @pytest.mark.parametrize( "exit_condition", diff --git a/python/ray/tests/test_advanced_8.py b/python/ray/tests/test_advanced_8.py index afb5e8a0f841..6c0c32d4f1c2 100644 --- a/python/ray/tests/test_advanced_8.py +++ b/python/ray/tests/test_advanced_8.py @@ -92,39 +92,6 @@ def test_invalid_unicode_in_worker_log(shutdown_only): assert ray._private.services.remaining_processes_alive() -@pytest.mark.skip(reason="This test is too expensive to run.") -def test_move_log_files_to_old(shutdown_only): - info = ray.init(num_cpus=1) - - logs_dir = os.path.join(info["session_dir"], "logs") - - @ray.remote - class Actor: - def f(self): - print("function f finished") - - # First create a temporary actor. - actors = [Actor.remote() for i in range(ray_constants.LOG_MONITOR_MAX_OPEN_FILES)] - ray.get([a.f.remote() for a in actors]) - - # Make sure no log files are in the "old" directory before the actors - # are killed. - assert len(glob.glob(f"{logs_dir}/old/worker*.out")) == 0 - - # Now kill the actors so the files get moved to logs/old/. - [a.__ray_terminate__.remote() for a in actors] - - while True: - log_file_paths = glob.glob(f"{logs_dir}/old/worker*.out") - if len(log_file_paths) > 0: - with open(log_file_paths[0], "r") as f: - assert "function f finished\n" in f.readlines() - break - - # Make sure that nothing has died. - assert ray._private.services.remaining_processes_alive() - - @pytest.mark.parametrize( "ray_start_cluster", [ diff --git a/python/ray/tests/test_cancel.py b/python/ray/tests/test_cancel.py index 682acca5fdb2..2fb9d9b625b7 100644 --- a/python/ray/tests/test_cancel.py +++ b/python/ray/tests/test_cancel.py @@ -238,100 +238,6 @@ def maybe_defer(): pytest.fail("SIGINT signal was never sent in test") -@pytest.mark.skip("Using unsupported API.") -def test_cancel_during_arg_deser_non_reentrant_import(ray_start_regular): - # This test ensures that task argument deserialization properly defers task - # cancellation interrupts until after deserialization completes, in order to ensure - # that non-reentrant imports that happen during both task argument deserialization - # and during error storage are not interrupted. - - # We test this by doing the following: - # - register a custom serializer for (a) a task argument that triggers - # non-reentrant imports on deserialization, and (b) RayTaskError that triggers - # non-reentrant imports on serialization; in our case, we chose pandas it is both - # non-reentrant and expensive, with an import time ~0.5 seconds, giving us a wide - # cancellation target, - # - wait until those serializers are registered on all workers, - # - launch the task and wait until we are confident that the cancellation signal - # will be received by the workers during task argument deserialization (currently a - # 200 ms wait). - # - check that a graceful task cancellation error is raised, not a - # WorkerCrashedError. - def non_reentrant_import(): - # NOTE: Pandas has a non-reentrant import and should take ~0.5 seconds to - # import, giving us a wide cancellation target. - import pandas # noqa - - def non_reentrant_import_and_delegate(obj): - # Custom serializer for task argument and task error resulting in non-reentrant - # imports being imported on both serialization and deserialization. We use the - # same custom serializer for both, doing non-reentrant imports on both - # serialization and deserialization, for the sake of simplicity/reuse. - - # Import on serialization. - non_reentrant_import() - - reduced = obj.__reduce__() - func = reduced[0] - args = reduced[1] - others = reduced[2:] - - def non_reentrant_import_on_reconstruction(*args, **kwargs): - # Import on deserialization. - non_reentrant_import() - - return func(*args, **kwargs) - - out = (non_reentrant_import_on_reconstruction, args) + others - return out - - # Dummy task argument for which we register a serializer that will trigger - # non-reentrant imports on deserialization. - class DummyArg: - pass - - def register_non_reentrant_import_and_delegate_reducer(worker_info): - from ray.exceptions import RayTaskError - - context = ray._private.worker.global_worker.get_serialization_context() - # Register non-reentrant import serializer for task argument. - context._register_cloudpickle_reducer( - DummyArg, non_reentrant_import_and_delegate - ) - # Register non-reentrant import serializer for RayTaskError. - context._register_cloudpickle_reducer( - RayTaskError, non_reentrant_import_and_delegate - ) - - ray._private.worker.global_worker.run_function_on_all_workers( - register_non_reentrant_import_and_delegate_reducer, - ) - - # Wait for function to run on all workers. - time.sleep(3) - - @ray.remote - def run_and_fail(a: DummyArg): - # Should never be reached. - assert False - - arg = DummyArg() - obj = run_and_fail.remote(arg) - # Check that task isn't done. - # NOTE: This timeout was finely tuned to ensure that task cancellation happens while - # we are deserializing task arguments (10/10 runs when this comment was added). - timeout_to_reach_arg_deserialization = 0.2 - assert len(ray.wait([obj], timeout=timeout_to_reach_arg_deserialization)[0]) == 0 - - # Cancel task. - use_force = False - ray.cancel(obj, force=use_force) - - # Should raise RayTaskError or TaskCancelledError, NOT WorkerCrashedError. - with pytest.raises(valid_exceptions(use_force)): - ray.get(obj) - - @pytest.mark.parametrize("use_force", [True, False]) def test_cancel_multiple_dependents(ray_start_regular, use_force): signaler = SignalActor.remote() @@ -659,82 +565,6 @@ def square(x): ray.get(wait_forever_as_dep) -@pytest.mark.skip("Actor cancelation works now.") -def test_recursive_cancel_error_messages(shutdown_only, capsys): - """ - Make sure the error message printed from the core worker - when the recursive cancelation fails it correct. - - It should only sample 10 tasks. - - Example output: - (task pid=55118) [2023-02-07 12:51:45,000 E 55118 6637966] core_worker.cc:3360: Unknown error: Failed to cancel all the children tasks of 85748392bcd969ccffffffffffffffffffffffff01000000 recursively. # noqa - (task pid=55118) Here are up to 10 samples tasks that failed to be canceled # noqa - (task pid=55118) b2094147c88795c9678740914e63d022610d70d501000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) d33d38e548ef4f998e63e2e1aaf05a3270e2722e01000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) 46009b11e76c891daae7fa9272cac4a2755bb1a901000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) 163f27568ace977d38a1ee4f11d3a358e694488901000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) 4a0fec5a878ccb98afd7e48837351bfd14957bf001000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) 45757cb171c13b7409953bfd8065a5eb36ba936201000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) a5220c501dc8f624f3ab13166dcf73e3f35068a101000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) f8bdb7979cd66dfc0fb4f8225e6197a779e4b7e901000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) 3d941239bca36a1cef9d9405523ce46181ebecfe01000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) d6fe9100f5c082db407a983e2f7ada3b5a065e3f01000000, Invalid: Actor task cancellation is not supported. The task won't be cancelled. # noqa - (task pid=55118) Total Recursive cancelation success: 0, failures: 12 - """ - ray.init(num_cpus=12) - NUM_ACTORS = 12 - - @ray.remote(num_cpus=0) - class Semaphore: - def wait(self): - print("wait called") - import time - - time.sleep(600) - - @ray.remote - def task(semas): - refs = [] - for sema in semas: - refs.append(sema.wait.remote()) - return ray.get(refs) - - semas = [Semaphore.remote() for _ in range(NUM_ACTORS)] - - t = task.remote(semas) - - def wait_until_wait_task_starts(): - wait_state = list_tasks(filters=[("func_or_class_name", "=", "Semaphore.wait")]) - return len(wait_state) == 12 - - wait_for_condition(wait_until_wait_task_starts) - ray.cancel(t) - - with pytest.raises(RayTaskError, match="TaskCancelledError"): - ray.get(t) - - msgs = capsys.readouterr().err.strip(" \n").split("\n") - total_result = msgs[-1] - - samples = [] - for msg in msgs: - if "Invalid: Actor task cancellation is not supported." in msg: - samples.append(msg) - assert len(samples) == 10 - - # Usually, we expect this message to be the last. That may not always be the case. - found_total_msg: bool = True - for total_result in reversed(msgs): - found_total_msg = found_total_msg or ( - f"Total Recursive cancelation success: 0, failures:{NUM_ACTORS}" in msg - ) - if found_total_msg: - break - - assert found_total_msg - - def test_ray_task_cancel_and_retry_race_condition(ray_start_cluster): """ This test is to verify that when a task is cancelled, the retry task will fail diff --git a/python/ray/tests/test_client.py b/python/ray/tests/test_client.py index 77a063f1d82f..a876900bec2d 100644 --- a/python/ray/tests/test_client.py +++ b/python/ray/tests/test_client.py @@ -107,8 +107,6 @@ def run(self): b.join() -# @pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.") -# @pytest.mark.skip() def test_client_mode_hook_thread_safe(call_ray_start_shared): with ray_start_client_server_for_address(call_ray_start_shared): with enable_client_mode(): diff --git a/python/ray/tests/test_kill_raylet_signal_log.py b/python/ray/tests/test_kill_raylet_signal_log.py index 6c5a5f5d7f14..28670507ada8 100644 --- a/python/ray/tests/test_kill_raylet_signal_log.py +++ b/python/ray/tests/test_kill_raylet_signal_log.py @@ -41,12 +41,5 @@ def test_kill_raylet_signal_log(shutdown_only): check_result("{}/logs/raylet.err", signal.SIGABRT, "SIGABRT") -@pytest.mark.skipif(sys.platform != "win32", reason="Only run on Windows.") -@pytest.mark.skip(reason="Flaky on Windows") -def test_kill_raylet_signal_log_win(shutdown_only): - check_result("{}/logs/raylet.out", signal.CTRL_BREAK_EVENT, "SIGTERM") - - if __name__ == "__main__": - sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/test_multinode_failures_2.py b/python/ray/tests/test_multinode_failures_2.py index 37e58ff0db41..eea9c41bc891 100644 --- a/python/ray/tests/test_multinode_failures_2.py +++ b/python/ray/tests/test_multinode_failures_2.py @@ -1,78 +1,12 @@ import sys -import time import numpy as np import pytest import ray -import ray._private.ray_constants as ray_constants from ray._private.test_utils import get_other_nodes -@pytest.mark.skip(reason="No reconstruction for objects placed in plasma yet") -@pytest.mark.parametrize( - "ray_start_cluster", - [ - { - # Force at least one task per node. - "num_cpus": 1, - "num_nodes": 4, - "object_store_memory": 1000 * 1024 * 1024, - "_system_config": { - "object_manager_pull_timeout_ms": 1000, - "object_manager_push_timeout_ms": 1000, - }, - } - ], - indirect=True, -) -def test_object_reconstruction(ray_start_cluster): - cluster = ray_start_cluster - - # Submit tasks with dependencies in plasma. - @ray.remote - def large_value(): - # Sleep for a bit to force tasks onto different nodes. - time.sleep(0.1) - return np.zeros(10 * 1024 * 1024) - - @ray.remote - def g(x): - return - - # Kill the component on all nodes except the head node as the tasks - # execute. Do this in a loop while submitting tasks between each - # component failure. - time.sleep(0.1) - worker_nodes = get_other_nodes(cluster) - assert len(worker_nodes) > 0 - component_type = ray_constants.PROCESS_TYPE_RAYLET - for node in worker_nodes: - process = node.all_processes[component_type][0].process - # Submit a round of tasks with many dependencies. - num_tasks = len(worker_nodes) - xs = [large_value.remote() for _ in range(num_tasks)] - # Wait for the tasks to complete, then evict the objects from the local - # node. - for x in xs: - ray.get(x) - ray._private.internal_api.free([x], local_only=True) - - # Kill a component on one of the nodes. - process.terminate() - time.sleep(1) - process.kill() - process.wait() - assert process.poll() is not None - - # Make sure that we can still get the objects after the - # executing tasks died. - print("F", xs) - xs = [g.remote(x) for x in xs] - print("G", xs) - ray.get(xs) - - @pytest.mark.parametrize( "ray_start_cluster", [{"num_cpus": 4, "num_nodes": 3, "do_init": True}], diff --git a/python/ray/tests/test_object_manager.py b/python/ray/tests/test_object_manager.py index 693962e7ff36..81a09c0783b4 100644 --- a/python/ray/tests/test_object_manager.py +++ b/python/ray/tests/test_object_manager.py @@ -2,7 +2,6 @@ import sys import time import warnings -from collections import defaultdict import numpy as np import pytest @@ -64,94 +63,6 @@ def put(): ray.get(remote_ref) -# This test is here to make sure that when we broadcast an object to a bunch of -# machines, we don't have too many excess object transfers. -@pytest.mark.skip(reason="TODO(ekl)") -def test_object_broadcast(ray_start_cluster_with_resource): - cluster, num_nodes = ray_start_cluster_with_resource - - @ray.remote - def f(x): - return - - x = np.zeros(1024 * 1024, dtype=np.uint8) - - @ray.remote - def create_object(): - return np.zeros(1024 * 1024, dtype=np.uint8) - - object_refs = [] - - for _ in range(3): - # Broadcast an object to all machines. - x_id = ray.put(x) - object_refs.append(x_id) - ray.get( - [ - f._remote(args=[x_id], resources={str(i % num_nodes): 1}) - for i in range(10 * num_nodes) - ] - ) - - for _ in range(3): - # Broadcast an object to all machines. - x_id = create_object.remote() - object_refs.append(x_id) - ray.get( - [ - f._remote(args=[x_id], resources={str(i % num_nodes): 1}) - for i in range(10 * num_nodes) - ] - ) - - # Wait for profiling information to be pushed to the profile table. - time.sleep(1) - transfer_events = ray._private.state.object_transfer_timeline() - - # Make sure that each object was transferred a reasonable number of times. - for x_id in object_refs: - relevant_events = [ - event - for event in transfer_events - if event["cat"] == "transfer_send" - and event["args"][0] == x_id.hex() - and event["args"][2] == 1 - ] - - # NOTE: Each event currently appears twice because we duplicate the - # send and receive boxes to underline them with a box (black if it is a - # send and gray if it is a receive). So we need to remove these extra - # boxes here. - deduplicated_relevant_events = [ - event for event in relevant_events if event["cname"] != "black" - ] - assert len(deduplicated_relevant_events) * 2 == len(relevant_events) - relevant_events = deduplicated_relevant_events - - # Each object must have been broadcast to each remote machine. - assert len(relevant_events) >= num_nodes - 1 - # If more object transfers than necessary have been done, print a - # warning. - if len(relevant_events) > num_nodes - 1: - warnings.warn( - "This object was transferred {} times, when only {} " - "transfers were required.".format(len(relevant_events), num_nodes - 1) - ) - # Each object should not have been broadcast more than once from every - # machine to every other machine. Also, a pair of machines should not - # both have sent the object to each other. - assert len(relevant_events) <= (num_nodes - 1) * num_nodes / 2 - - # Make sure that no object was sent multiple times between the same - # pair of object managers. - send_counts = defaultdict(int) - for event in relevant_events: - # The pid identifies the sender and the tid identifies the - # receiver. - send_counts[(event["pid"], event["tid"])] += 1 - assert all(value == 1 for value in send_counts.values()) - - # When submitting an actor method, we try to pre-emptively push its arguments # to the actor's object manager. However, in the past we did not deduplicate # the pushes and so the same object could get shipped to the same object diff --git a/python/ray/tests/test_shuffle.py b/python/ray/tests/test_shuffle.py index e9cd3718c2a2..0a8bbd5be1dc 100644 --- a/python/ray/tests/test_shuffle.py +++ b/python/ray/tests/test_shuffle.py @@ -28,26 +28,5 @@ def test_shuffle_no_streaming(): ray.shutdown() -@pytest.mark.skip(reason="SIGBUS on CI.") -def test_shuffle_multi_node(ray_start_cluster): - cluster = ray_start_cluster - for _ in range(4): - cluster.add_node(num_cpus=2, object_store_memory=1e9) - - shuffle.run(ray_address="auto", num_partitions=200, partition_size=10e6) - - -@pytest.mark.skip(reason="SIGBUS on CI.") -def test_shuffle_multi_node_no_streaming(ray_start_cluster): - cluster = ray_start_cluster - for _ in range(4): - cluster.add_node(num_cpus=2, object_store_memory=1e9) - - shuffle.run( - ray_address="auto", num_partitions=200, partition_size=10e6, no_streaming=True - ) - - if __name__ == "__main__": - sys.exit(pytest.main(["-sv", __file__])) From 0fa09f986c899d5e1fd5e3428c87b44de743e453 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Wed, 9 Jul 2025 21:29:13 +0800 Subject: [PATCH 0109/1566] [Core] Use std::move in cluster task manager constructor (#54413) Found that we pass by value in cluster task manager constructor, use move to avoid unnecessary copy. Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/raylet/scheduling/cluster_task_manager.cc | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_task_manager.cc index c92b218e66df..75129b5721c1 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager.cc @@ -36,13 +36,13 @@ ClusterTaskManager::ClusterTaskManager( std::function get_time_ms) : self_node_id_(self_node_id), cluster_resource_scheduler_(cluster_resource_scheduler), - get_node_info_(get_node_info), - announce_infeasible_task_(announce_infeasible_task), + get_node_info_(std::move(get_node_info)), + announce_infeasible_task_(std::move(announce_infeasible_task)), local_task_manager_(local_task_manager), scheduler_resource_reporter_( tasks_to_schedule_, infeasible_tasks_, local_task_manager_), internal_stats_(*this, local_task_manager_), - get_time_ms_(get_time_ms) {} + get_time_ms_(std::move(get_time_ms)) {} void ClusterTaskManager::QueueAndScheduleTask( RayTask task, From f5763a6d937a7a08ce8a97cd63cea663c6f5020f Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Wed, 9 Jul 2025 19:00:12 +0530 Subject: [PATCH 0110/1566] migrate check_library_usage_telemetry to _common (#54355) Fixes: https://github.com/ray-project/ray/issues/53478 - migrating check_library_usage_telemetry from `_private` to `_common` - migrating TelemetryCallsite from `_private` to `_common`. Signed-off-by: Douglas Strodtman --- python/ray/_common/test_utils.py | 71 ++++++++++++++++++++- python/ray/_private/test_utils.py | 68 -------------------- python/ray/data/tests/test_telemetry.py | 2 +- python/ray/serve/tests/test_telemetry.py | 2 +- python/ray/train/tests/test_telemetry.py | 2 +- python/ray/train/v2/tests/test_telemetry.py | 2 +- python/ray/tune/tests/test_telemetry.py | 2 +- rllib/tests/test_telemetry.py | 2 +- 8 files changed, 76 insertions(+), 75 deletions(-) diff --git a/python/ray/_common/test_utils.py b/python/ray/_common/test_utils.py index 590df5f9cbd0..65a8cb356816 100644 --- a/python/ray/_common/test_utils.py +++ b/python/ray/_common/test_utils.py @@ -12,11 +12,14 @@ import os import time import traceback -from typing import Any, Callable, Iterator +from typing import Any, Callable, Dict, Iterator, List, Optional, Set import uuid +from enum import Enum + import ray import ray._private.utils +import ray._private.usage.usage_lib as ray_usage_lib @ray.remote(num_cpus=0) @@ -178,3 +181,69 @@ def simulate_s3_bucket( yield url server.stop() os.environ = old_env + + +class TelemetryCallsite(Enum): + DRIVER = "driver" + ACTOR = "actor" + TASK = "task" + + +def _get_library_usages() -> Set[str]: + return set( + ray_usage_lib.get_library_usages_to_report( + ray.experimental.internal_kv.internal_kv_get_gcs_client() + ) + ) + + +def _get_extra_usage_tags() -> Dict[str, str]: + return ray_usage_lib.get_extra_usage_tags_to_report( + ray.experimental.internal_kv.internal_kv_get_gcs_client() + ) + + +def check_library_usage_telemetry( + use_lib_fn: Callable[[], None], + *, + callsite: TelemetryCallsite, + expected_library_usages: List[Set[str]], + expected_extra_usage_tags: Optional[Dict[str, str]] = None, +): + """Helper for writing tests to validate library usage telemetry. + + `use_lib_fn` is a callable that will be called from the provided callsite. + After calling it, the telemetry data to export will be validated against + expected_library_usages and expected_extra_usage_tags. + """ + assert len(_get_library_usages()) == 0, _get_library_usages() + + if callsite == TelemetryCallsite.DRIVER: + use_lib_fn() + elif callsite == TelemetryCallsite.ACTOR: + + @ray.remote + class A: + def __init__(self): + use_lib_fn() + + a = A.remote() + ray.get(a.__ray_ready__.remote()) + elif callsite == TelemetryCallsite.TASK: + + @ray.remote + def f(): + use_lib_fn() + + ray.get(f.remote()) + else: + assert False, f"Unrecognized callsite: {callsite}" + + library_usages = _get_library_usages() + extra_usage_tags = _get_extra_usage_tags() + + assert library_usages in expected_library_usages, library_usages + if expected_extra_usage_tags: + assert all( + [extra_usage_tags[k] == v for k, v in expected_extra_usage_tags.items()] + ), extra_usage_tags diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index 7e8c50fd4a2a..8117338d99b1 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -19,7 +19,6 @@ from contextlib import contextmanager, redirect_stderr, redirect_stdout from dataclasses import dataclass from datetime import datetime -from enum import Enum from typing import Any, Callable, Dict, List, Optional, Set, Tuple import requests @@ -30,7 +29,6 @@ import ray._private.memory_monitor as memory_monitor import ray._private.services import ray._private.services as services -import ray._private.usage.usage_lib as ray_usage_lib import ray._private.utils from ray._common.test_utils import wait_for_condition from ray._common.utils import get_or_create_event_loop @@ -1976,72 +1974,6 @@ def reset_autoscaler_v2_enabled_cache(): u.cached_is_autoscaler_v2 = None -def _get_library_usages() -> Set[str]: - return set( - ray_usage_lib.get_library_usages_to_report( - ray.experimental.internal_kv.internal_kv_get_gcs_client() - ) - ) - - -def _get_extra_usage_tags() -> Dict[str, str]: - return ray_usage_lib.get_extra_usage_tags_to_report( - ray.experimental.internal_kv.internal_kv_get_gcs_client() - ) - - -class TelemetryCallsite(Enum): - DRIVER = "driver" - ACTOR = "actor" - TASK = "task" - - -def check_library_usage_telemetry( - use_lib_fn: Callable[[], None], - *, - callsite: TelemetryCallsite, - expected_library_usages: List[Set[str]], - expected_extra_usage_tags: Optional[Dict[str, str]] = None, -): - """Helper for writing tests to validate library usage telemetry. - - `use_lib_fn` is a callable that will be called from the provided callsite. - After calling it, the telemetry data to export will be validated against - expected_library_usages and expected_extra_usage_tags. - """ - assert len(_get_library_usages()) == 0, _get_library_usages() - - if callsite == TelemetryCallsite.DRIVER: - use_lib_fn() - elif callsite == TelemetryCallsite.ACTOR: - - @ray.remote - class A: - def __init__(self): - use_lib_fn() - - a = A.remote() - ray.get(a.__ray_ready__.remote()) - elif callsite == TelemetryCallsite.TASK: - - @ray.remote - def f(): - use_lib_fn() - - ray.get(f.remote()) - else: - assert False, f"Unrecognized callsite: {callsite}" - - library_usages = _get_library_usages() - extra_usage_tags = _get_extra_usage_tags() - - assert library_usages in expected_library_usages, library_usages - if expected_extra_usage_tags: - assert all( - [extra_usage_tags[k] == v for k, v in expected_extra_usage_tags.items()] - ), extra_usage_tags - - def _terminate_ec2_instance(ip): logging.info(f"Terminating instance, {ip=}") # This command uses IMDSv2 to get the host instance id and region. diff --git a/python/ray/data/tests/test_telemetry.py b/python/ray/data/tests/test_telemetry.py index a12fb71ee1df..8599589d7d4c 100644 --- a/python/ray/data/tests/test_telemetry.py +++ b/python/ray/data/tests/test_telemetry.py @@ -5,7 +5,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib from ray import data -from ray._private.test_utils import TelemetryCallsite, check_library_usage_telemetry +from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry @pytest.fixture diff --git a/python/ray/serve/tests/test_telemetry.py b/python/ray/serve/tests/test_telemetry.py index 8ef36b627935..d23008be2dd0 100644 --- a/python/ray/serve/tests/test_telemetry.py +++ b/python/ray/serve/tests/test_telemetry.py @@ -5,7 +5,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib from ray import serve -from ray._private.test_utils import TelemetryCallsite, check_library_usage_telemetry +from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry @pytest.fixture diff --git a/python/ray/train/tests/test_telemetry.py b/python/ray/train/tests/test_telemetry.py index c9f9ff2e5071..35d6f5f835c2 100644 --- a/python/ray/train/tests/test_telemetry.py +++ b/python/ray/train/tests/test_telemetry.py @@ -4,7 +4,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib -from ray._private.test_utils import TelemetryCallsite, check_library_usage_telemetry +from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry from ray.train.data_parallel_trainer import DataParallelTrainer diff --git a/python/ray/train/v2/tests/test_telemetry.py b/python/ray/train/v2/tests/test_telemetry.py index 83b729267348..32e2bc9480bd 100644 --- a/python/ray/train/v2/tests/test_telemetry.py +++ b/python/ray/train/v2/tests/test_telemetry.py @@ -4,7 +4,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib -from ray._private.test_utils import TelemetryCallsite, check_library_usage_telemetry +from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer diff --git a/python/ray/tune/tests/test_telemetry.py b/python/ray/tune/tests/test_telemetry.py index 43407a08cb60..ec12b5a4dc10 100644 --- a/python/ray/tune/tests/test_telemetry.py +++ b/python/ray/tune/tests/test_telemetry.py @@ -5,7 +5,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib from ray import tune -from ray._private.test_utils import TelemetryCallsite, check_library_usage_telemetry +from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry @pytest.fixture diff --git a/rllib/tests/test_telemetry.py b/rllib/tests/test_telemetry.py index 7fbe6e23d58b..a4a617c33c63 100644 --- a/rllib/tests/test_telemetry.py +++ b/rllib/tests/test_telemetry.py @@ -5,7 +5,7 @@ import ray import ray._private.usage.usage_lib as ray_usage_lib -from ray._private.test_utils import check_library_usage_telemetry, TelemetryCallsite +from ray._common.test_utils import check_library_usage_telemetry, TelemetryCallsite @pytest.fixture From db7c80dc3bcda282df201f29711680e585ee8d20 Mon Sep 17 00:00:00 2001 From: Rueian Date: Wed, 9 Jul 2025 06:35:55 -0700 Subject: [PATCH 0111/1566] [core][autoscaler] fix: use RAY_UP_enable_autoscaler_v2 instead of RAY_enable_autoscaler_v2 for ray up (#54456) Use a different env var for ray up to enable autoscaler v2 to avoid accidentally enabling v2 due to env inheritance. Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/commands.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/autoscaler/_private/commands.py b/python/ray/autoscaler/_private/commands.py index 2659c2233669..faed42317b7f 100644 --- a/python/ray/autoscaler/_private/commands.py +++ b/python/ray/autoscaler/_private/commands.py @@ -822,7 +822,10 @@ def get_or_create_head_node( if not no_restart: warn_about_bad_start_command(ray_start_commands, no_monitor_on_head) - if os.getenv("RAY_enable_autoscaler_v2", "0") == "1": + # Use RAY_UP_enable_autoscaler_v2 instead of RAY_enable_autoscaler_v2 + # to avoid accidentally enabling autoscaler v2 for ray up + # due to env inheritance. + if os.getenv("RAY_UP_enable_autoscaler_v2", "0") == "1": ray_start_commands = with_envs( ray_start_commands, { From 8a73a4b8a11d0340bb7299461488fcffdcbbdbd7 Mon Sep 17 00:00:00 2001 From: ChiaveQiu <31926998+DriverSong@users.noreply.github.com> Date: Thu, 10 Jul 2025 00:34:21 +0800 Subject: [PATCH 0112/1566] [serve.llm] Adaption of the change of vllm.PoolingOutput (#54467) Signed-off-by: Douglas Strodtman --- .../llm/_internal/serve/deployments/llm/vllm/vllm_engine.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 85b42b2d5f7a..9212902e4b30 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -805,7 +805,10 @@ async def embed( for gen in generators: async for result in gen: - embedding = result.outputs.embedding + if hasattr(result.outputs, "embedding"): + embedding = result.outputs.embedding + else: + embedding = result.outputs.data.tolist() if vllm_embedding_request.encoding_format == "base64": embedding = floats_to_base64(embedding) From ba832254f8286b17d8742d3bc0b1d2f688e7574e Mon Sep 17 00:00:00 2001 From: Ziy Date: Thu, 10 Jul 2025 01:07:51 +0800 Subject: [PATCH 0113/1566] [Serve] Check multiple FastAPI ingress deployments in a single application (#53647) ## Why are these changes needed? - Currently, Serve can not catch multiple FastAPI deployments in a single application if user sets the docs path to None in their FastAPI app. - We can check multiple ASGIAppReplicaWrapper in a single application to avoid this issue. ## Related issue number Closes https://github.com/ray-project/ray/issues/53024 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Ziy1-Tan Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 39 +++++++++++++++++++ .../tests/test_config_files/multi_fastapi.py | 28 +++++++++++++ python/ray/serve/tests/test_deploy_app.py | 23 ++++++++++- python/ray/serve/tests/test_fastapi.py | 7 ++-- 4 files changed, 93 insertions(+), 4 deletions(-) create mode 100644 python/ray/serve/tests/test_config_files/multi_fastapi.py diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 943a08f7cdc9..230b4da7ef90 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -1,3 +1,4 @@ +import inspect import json import logging import os @@ -40,6 +41,7 @@ override_runtime_envs_except_env_vars, validate_route_prefix, ) +from ray.serve.api import ASGIAppReplicaWrapper from ray.serve.config import AutoscalingConfig from ray.serve.exceptions import RayServeException from ray.serve.generated.serve_pb2 import ( @@ -468,6 +470,7 @@ def deploy_app(self, deployment_infos: Dict[str, DeploymentInfo]): or docs path. """ + self._check_ingress_deployments(deployment_infos) # Check routes are unique in deployment infos self._route_prefix, self._docs_path = self._check_routes(deployment_infos) @@ -704,6 +707,28 @@ def _reconcile_build_app_task(self) -> Tuple[Optional[Dict], BuildAppStatus, str ) return None, BuildAppStatus.FAILED, error_msg + def _check_ingress_deployments( + self, deployment_infos: Dict[str, DeploymentInfo] + ) -> None: + """Check @serve.ingress of deployments in app. + + Raises: RayServeException if more than one @serve.ingress + is found among deployments. + """ + num_ingress_deployments = 0 + for info in deployment_infos.values(): + if inspect.isclass(info.replica_config.deployment_def) and issubclass( + info.replica_config.deployment_def, ASGIAppReplicaWrapper + ): + num_ingress_deployments += 1 + + if num_ingress_deployments > 1: + raise RayServeException( + f'Found multiple FastAPI deployments in application "{self._name}".' + "Please only include one deployment with @serve.ingress" + "in your application to avoid this issue." + ) + def _check_routes( self, deployment_infos: Dict[str, DeploymentInfo] ) -> Tuple[str, str]: @@ -721,6 +746,9 @@ def _check_routes( num_route_prefixes = 0 num_docs_paths = 0 route_prefix = None + # TODO(Ziy1-Tan): `docs_path` will be removed when + # https://github.com/ray-project/ray/issues/53023 is resolved. + # We can get it from DeploymentStateManager directly. docs_path = None for info in deployment_infos.values(): # Update route prefix of application, which may be updated @@ -1177,7 +1205,12 @@ def build_serve_application( name=name, default_runtime_env=ray.get_runtime_context().runtime_env, ) + num_ingress_deployments = 0 for deployment in built_app.deployments: + if inspect.isclass(deployment.func_or_class) and issubclass( + deployment.func_or_class, ASGIAppReplicaWrapper + ): + num_ingress_deployments += 1 is_ingress = deployment.name == built_app.ingress_deployment_name deploy_args_list.append( get_deploy_args( @@ -1190,6 +1223,12 @@ def build_serve_application( docs_path=deployment._docs_path, ) ) + if num_ingress_deployments > 1: + return None, ( + f'Found multiple FastAPI deployments in application "{built_app.name}". ' + "Please only include one deployment with @serve.ingress " + "in your application to avoid this issue." + ) return deploy_args_list, None except KeyboardInterrupt: # Error is raised when this task is canceled with ray.cancel(), which diff --git a/python/ray/serve/tests/test_config_files/multi_fastapi.py b/python/ray/serve/tests/test_config_files/multi_fastapi.py new file mode 100644 index 000000000000..43974ec6d05b --- /dev/null +++ b/python/ray/serve/tests/test_config_files/multi_fastapi.py @@ -0,0 +1,28 @@ +from fastapi import FastAPI + +from ray import serve +from ray.serve.handle import DeploymentHandle + +app1 = FastAPI() +app2 = FastAPI() + + +@serve.deployment +@serve.ingress(app2) +class SubModel: + def add(self, a: int): + return a + 1 + + +@serve.deployment +@serve.ingress(app1) +class Model: + def __init__(self, submodel: DeploymentHandle): + self.submodel = submodel + + @app1.get("/{a}") + async def func(self, a: int): + return await self.submodel.add.remote(a) + + +invalid_model = Model.bind(SubModel.bind()) diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 9622ce595f5a..12459ccdc0a2 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -51,6 +51,13 @@ def check_deployments_dead(deployment_ids: List[DeploymentID]): return all(f"ServeReplica::{p}" not in actor_names for p in prefixes) +def check_deploy_failed(app_name: str, message: str): + status = serve.status().applications[app_name] + assert status.status == "DEPLOY_FAILED" + assert message in status.message + return True + + def get_test_config() -> Dict: return {"import_path": "ray.serve.tests.test_config_files.pizza.serve_dag"} @@ -127,9 +134,23 @@ def test_deploy_multi_app_basic(serve_instance): check_multi_app() -def test_deploy_multi_app_update_config(serve_instance): +def test_two_fastapi_in_one_application(serve_instance): client = serve_instance + config = { + "applications": [ + { + "name": "app1", + "route_prefix": "/app1", + "import_path": "ray.serve.tests.test_config_files.multi_fastapi.invalid_model", + } + ], + } + client.deploy_apps(ServeDeploySchema.parse_obj(config)) + wait_for_condition(check_deploy_failed, app_name="app1", message="FastAPI") + +def test_deploy_multi_app_update_config(serve_instance): + client = serve_instance config = get_test_deploy_config() client.deploy_apps(ServeDeploySchema.parse_obj(config)) check_multi_app() diff --git a/python/ray/serve/tests/test_fastapi.py b/python/ray/serve/tests/test_fastapi.py index f8b749124ca2..504c4c1561e3 100644 --- a/python/ray/serve/tests/test_fastapi.py +++ b/python/ray/serve/tests/test_fastapi.py @@ -727,15 +727,16 @@ def decr2(self): @pytest.mark.parametrize("two_fastapi", [True, False]) +@pytest.mark.parametrize("docs_url", ["/docs", None]) def test_two_fastapi_in_one_application( - serve_instance: ServeControllerClient, two_fastapi + serve_instance: ServeControllerClient, two_fastapi, docs_url ): """ Check that a deployment graph that would normally work, will not deploy successfully if there are two FastAPI deployments. """ - app1 = FastAPI() - app2 = FastAPI() + app1 = FastAPI(docs_url=docs_url) + app2 = FastAPI(docs_url=docs_url) class SubModel: def add(self, a: int): From 8ed5a8765f8308740886201a791a932d1a98686b Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 9 Jul 2025 10:48:10 -0700 Subject: [PATCH 0114/1566] [serve] deflake `test_autoscaling_policy_with_metr_disab` (#54458) Deflake `test_autoscaling_policy_with_metr_disab.py::TestAutoscalingMetrics::test_basic` When `RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE=0`, we collect ongoing request metrics at the replica and queued request metrics at the handle -- but ongoing request metrics are updated very fast while queued metrics are sent every 10s. Because of this delay the total number of ongoing requests climbs to almost 100 because before the queued request metrics are flushed, almost every request is double counted. Example: https://buildkite.com/ray-project/postmerge/builds/11322#0197eaca-62e1-457d-947b-a981210e98b9/177-852 Note that we are sending exactly 50 requests and expect the number of replicas to scale to exactly 5. However the metrics grow above 50 here, almost to 100, which causes the test to be flaky / fail. This pr sets the env var `RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S=0.1` and pairs with other stabilizing changes. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD | 6 ++++- .../serve/tests/test_autoscaling_policy.py | 27 ++++++++++++------- 2 files changed, 22 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index a40d731fa3a0..ee03ea08fc14 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -291,7 +291,11 @@ py_test( name = "test_autoscaling_policy_with_metr_disab", size = "large", srcs = ["test_autoscaling_policy.py"], - env = {"RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0"}, + env = { + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + # Make sure queued metrics are cleared out quickly. + "RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S": "0.1", + }, main = "test_autoscaling_policy.py", tags = [ "autoscaling", diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index e328119bcfbb..17e3c51c3993 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -58,6 +58,13 @@ def get_deployment_start_time(controller: ServeController, name: str): return deployment_info.start_time_ms +def check_num_queued_requests_eq(handle: DeploymentHandle, expected: int): + assert ( + handle._router._asyncio_router._metrics_manager.num_queued_requests == expected + ) + return True + + def assert_no_replicas_deprovisioned( replica_ids_1: Iterable[ReplicaID], replica_ids_2: Iterable[ReplicaID] ) -> None: @@ -135,12 +142,9 @@ def test_basic(self, serve_instance): "max_replicas": 10, "target_ongoing_requests": 10, "upscale_delay_s": 0, - "downscale_delay_s": 0, + "downscale_delay_s": 5, "look_back_period_s": 1, }, - # We will send many requests. This will make sure replicas are - # killed quickly during cleanup. - graceful_shutdown_timeout_s=1, max_ongoing_requests=25, version="v1", ) @@ -154,24 +158,27 @@ async def __call__(self): # Wait for metrics to propagate wait_for_condition(check_num_requests_ge, client=client, id=dep_id, expected=1) - print("Autoscaling metrics started recording on controller.") + tlog("Autoscaling metrics started recording on controller.") # Many queries should be inflight. wait_for_condition(check_num_requests_ge, client=client, id=dep_id, expected=45) - print("Confirmed many queries are inflight.") + tlog("Confirmed many queries are inflight.") + + wait_for_condition(check_num_queued_requests_eq, handle=handle, expected=0) + tlog("Confirmed all requests are assigned to replicas.") wait_for_condition(check_num_replicas_eq, name="A", target=5) - print("Confirmed deployment scaled to 5 replicas.") - print("Releasing signal.") + tlog("Confirmed deployment scaled to 5 replicas.") + tlog("Releasing signal.") signal.send.remote() # After traffic stops, num replica should drop to 1 wait_for_condition(check_num_replicas_eq, name="A", target=1, timeout=15) - print("Num replicas dropped to 1.") + tlog("Num replicas dropped to 1.") # Request metrics should drop to 0 wait_for_condition(check_num_requests_eq, client=client, id=dep_id, expected=0) - print("Queued and ongoing requests dropped to 0.") + tlog("Queued and ongoing requests dropped to 0.") @pytest.mark.parametrize("use_generator", [True, False]) def test_replicas_die(self, serve_instance_with_signal, use_generator): From e840903eb2a37a45b292cc03b17b4dff131cc7d0 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Wed, 9 Jul 2025 11:28:27 -0700 Subject: [PATCH 0115/1566] [serve] update get_application_url and tests (#54449) This PR replaces some of the manual string literals of urls within `test_api`, `test_deploy`, `test_deploy_2`, `test_deploy_app`, `test_failure` with `get_application_urls` and splits some of the tests into separate files. --------- Signed-off-by: doyoung Signed-off-by: Alexey Kudinkin Signed-off-by: Linkun Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Kevin H. Luu Signed-off-by: kevin Signed-off-by: elliot-barn Signed-off-by: Lonnie Liu Signed-off-by: dayshah Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Edward Oakes Signed-off-by: Srinath Krishnamachari Signed-off-by: srinathk10 <68668616+srinathk10@users.noreply.github.com> Signed-off-by: noemotiovon <757486878@qq.com> Signed-off-by: Ryan O'Leary Signed-off-by: Cindy Zhang Signed-off-by: Hao Chen Signed-off-by: Timothy Seah Signed-off-by: Timothy Seah Signed-off-by: Vignesh Hirudayakanth Signed-off-by: Balaji Veeramani Co-authored-by: Alexey Kudinkin Co-authored-by: Linkun Co-authored-by: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Co-authored-by: Qiaolin Yu Co-authored-by: Kevin H. Luu Co-authored-by: Elliot Barnwell Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Co-authored-by: harshit-anyscale Co-authored-by: Dhyey Shah Co-authored-by: Owen Lin (You-Cheng Lin) <106612301+owenowenisme@users.noreply.github.com> Co-authored-by: Edward Oakes Co-authored-by: srinathk10 <68668616+srinathk10@users.noreply.github.com> Co-authored-by: Chenguang Li <757486878@qq.com> Co-authored-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Kai-Hsun Chen Co-authored-by: Cindy Zhang Co-authored-by: Hao Chen Co-authored-by: Timothy Seah Co-authored-by: Timothy Seah Co-authored-by: Justin Yu Co-authored-by: Vignesh Hirudayakanth Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 7 + python/ray/serve/_private/test_utils.py | 14 +- python/ray/serve/tests/BUILD | 2 + python/ray/serve/tests/test_api.py | 55 ++---- python/ray/serve/tests/test_api_2.py | 52 ++++++ python/ray/serve/tests/test_callback.py | 4 +- python/ray/serve/tests/test_deploy.py | 21 ++- python/ray/serve/tests/test_deploy_2.py | 22 ++- python/ray/serve/tests/test_deploy_app.py | 175 +++++++----------- python/ray/serve/tests/test_deploy_app_2.py | 50 ++++- python/ray/serve/tests/test_failure.py | 9 +- 11 files changed, 237 insertions(+), 174 deletions(-) create mode 100644 python/ray/serve/tests/test_api_2.py diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 230b4da7ef90..f9af04ef1085 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -329,6 +329,13 @@ def recover_target_state_from_checkpoint( deleting=checkpoint_data.deleting, ) + # Restore route prefix and docs path from checkpointed deployments when + # the imperatively started application is restarting with controller. + if checkpoint_data.deployment_infos is not None: + self._route_prefix, self._docs_path = self._check_routes( + checkpoint_data.deployment_infos + ) + def _set_target_state( self, deployment_infos: Optional[Dict[str, DeploymentInfo]], diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index d1db5f3e70a6..eff608338e89 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -709,6 +709,7 @@ def get_application_urls( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, use_localhost: bool = False, + exclude_route_prefix: bool = False, ) -> List[str]: """Get the URL of the application. @@ -718,13 +719,17 @@ def get_application_urls( use_localhost: Whether to use localhost instead of the IP address. Set to True if Serve deployments are not exposed publicly or for low latency benchmarking. - + exclude_route_prefix: The route prefix to exclude from the application. Returns: The URLs of the application. """ client = _get_global_client() serve_details = client.get_serve_details() + if app_name not in serve_details["applications"]: + return [client.root_url] route_prefix = serve_details["applications"][app_name]["route_prefix"] + if exclude_route_prefix: + route_prefix = "" if isinstance(protocol, str): protocol = RequestProtocol(protocol) target_groups: List[TargetGroup] = ray.get( @@ -758,6 +763,7 @@ def get_application_url( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, use_localhost: bool = False, + exclude_route_prefix: bool = False, ) -> str: """Get the URL of the application. @@ -767,8 +773,10 @@ def get_application_url( use_localhost: Whether to use localhost instead of the IP address. Set to True if Serve deployments are not exposed publicly or for low latency benchmarking. - + exclude_route_prefix: The route prefix to exclude from the application. Returns: The URL of the application. If there are multiple URLs, a random one is returned. """ - return random.choice(get_application_urls(protocol, app_name, use_localhost)) + return random.choice( + get_application_urls(protocol, app_name, use_localhost, exclude_route_prefix) + ) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index ee03ea08fc14..e4bf47dc648b 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -214,6 +214,7 @@ py_test_module_list( size = "large", files = [ "test_api.py", + "test_api_2.py", "test_model_composition.py", ], tags = [ @@ -253,6 +254,7 @@ py_test( size = "large", srcs = [ "test_api.py", + "test_api_2.py", "test_controller_crashes.py", "test_failure.py", ], diff --git a/python/ray/serve/tests/test_api.py b/python/ray/serve/tests/test_api.py index 1d12ad801140..35e671183f20 100644 --- a/python/ray/serve/tests/test_api.py +++ b/python/ray/serve/tests/test_api.py @@ -13,7 +13,7 @@ from ray._common.pydantic_compat import BaseModel, ValidationError from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.api import call_user_app_builder_with_args_if_necessary -from ray.serve._private.common import DeploymentID, RequestProtocol +from ray.serve._private.common import DeploymentID from ray.serve._private.constants import ( DEFAULT_MAX_ONGOING_REQUESTS, SERVE_DEFAULT_APP_NAME, @@ -27,7 +27,7 @@ from ray.serve._private.request_router.request_router import ( RequestRouter, ) -from ray.serve._private.test_utils import get_application_url, get_application_urls +from ray.serve._private.test_utils import get_application_url from ray.serve.deployment import Application from ray.serve.exceptions import RayServeException from ray.serve.handle import DeploymentHandle @@ -433,14 +433,15 @@ def g(): assert httpx.get(url).text == "got f" serve.delete("app_f") - assert "Path '/' not found" in httpx.get(url).text + url = "http://localhost:8000/app_f" + assert "Path '/app_f' not found" in httpx.get(url).text # delete again, no exception & crash expected. serve.delete("app_f") # make sure no affect to app_g assert g_handle.remote().result() == "got g" - url = f"{get_application_url(app_name='app_g')}" + url = get_application_url("HTTP", app_name="app_g") assert httpx.get(url).text == "got g" @@ -549,6 +550,12 @@ def __call__(self): # Redeploy with same app to update route prefix serve.run(Model1.bind(), name="app", route_prefix="/my_app") url_new = get_application_url("HTTP", app_name="app") + # Reread the url to get the correct port value + old_url_route_prefix = "/" + url = ( + get_application_url("HTTP", app_name="app", exclude_route_prefix=True) + ) + old_url_route_prefix + assert httpx.get(url_new).text == "got model1" assert httpx.get(url).status_code == 404 @@ -1109,43 +1116,3 @@ def test_deploy_app_with_custom_request_router(serve_instance): import sys sys.exit(pytest.main(["-v", "-s", __file__])) - - -def test_get_application_urls(serve_instance): - @serve.deployment - def f(): - return "Hello, world!" - - serve.run(f.bind()) - controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) - node_ip = controller_details.node_ip - assert get_application_urls() == [f"http://{node_ip}:8000"] - assert get_application_urls("gRPC") == [f"{node_ip}:9000"] - assert get_application_urls(RequestProtocol.HTTP) == [f"http://{node_ip}:8000"] - assert get_application_urls(RequestProtocol.GRPC) == [f"{node_ip}:9000"] - - -def test_get_application_urls_with_app_name(serve_instance): - @serve.deployment - def f(): - return "Hello, world!" - - serve.run(f.bind(), name="app1", route_prefix="/") - controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) - node_ip = controller_details.node_ip - assert get_application_urls("HTTP", app_name="app1") == [f"http://{node_ip}:8000"] - assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] - - -def test_get_application_urls_with_route_prefix(serve_instance): - @serve.deployment - def f(): - return "Hello, world!" - - serve.run(f.bind(), name="app1", route_prefix="/app1") - controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) - node_ip = controller_details.node_ip - assert get_application_urls("HTTP", app_name="app1") == [ - f"http://{node_ip}:8000/app1" - ] - assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] diff --git a/python/ray/serve/tests/test_api_2.py b/python/ray/serve/tests/test_api_2.py new file mode 100644 index 000000000000..610fabb00797 --- /dev/null +++ b/python/ray/serve/tests/test_api_2.py @@ -0,0 +1,52 @@ +import pytest + +import ray +from ray import serve +from ray.serve._private.common import RequestProtocol +from ray.serve._private.test_utils import get_application_urls + + +def test_get_application_urls(serve_instance): + @serve.deployment + def f(): + return "Hello, world!" + + serve.run(f.bind()) + controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) + node_ip = controller_details.node_ip + assert get_application_urls() == [f"http://{node_ip}:8000"] + assert get_application_urls("gRPC") == [f"{node_ip}:9000"] + assert get_application_urls(RequestProtocol.HTTP) == [f"http://{node_ip}:8000"] + assert get_application_urls(RequestProtocol.GRPC) == [f"{node_ip}:9000"] + + +def test_get_application_urls_with_app_name(serve_instance): + @serve.deployment + def f(): + return "Hello, world!" + + serve.run(f.bind(), name="app1", route_prefix="/") + controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) + node_ip = controller_details.node_ip + assert get_application_urls("HTTP", app_name="app1") == [f"http://{node_ip}:8000"] + assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] + + +def test_get_application_urls_with_route_prefix(serve_instance): + @serve.deployment + def f(): + return "Hello, world!" + + serve.run(f.bind(), name="app1", route_prefix="/app1") + controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) + node_ip = controller_details.node_ip + assert get_application_urls("HTTP", app_name="app1") == [ + f"http://{node_ip}:8000/app1" + ] + assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_callback.py b/python/ray/serve/tests/test_callback.py index 934a9a6e059d..93dbb6324e81 100644 --- a/python/ray/serve/tests/test_callback.py +++ b/python/ray/serve/tests/test_callback.py @@ -12,7 +12,6 @@ from ray import serve from ray._common.test_utils import wait_for_condition from ray.exceptions import RayActorError -from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import call_function_from_import_path from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.context import _get_global_client @@ -142,8 +141,7 @@ def __call__(self, request: starlette.requests.Request): return "Not found custom headers" serve.run(Model.bind()) - url = get_application_url() - resp = httpx.get(url) + resp = httpx.get("http://localhost:8000") assert resp.text == "custom_header_value" diff --git a/python/ray/serve/tests/test_deploy.py b/python/ray/serve/tests/test_deploy.py index 23b9174fe8ef..9ca28962ac9f 100644 --- a/python/ray/serve/tests/test_deploy.py +++ b/python/ray/serve/tests/test_deploy.py @@ -11,6 +11,7 @@ from ray import serve from ray._common.pydantic_compat import ValidationError from ray._common.test_utils import SignalActor, wait_for_condition +from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import get_random_string from ray.serve.exceptions import RayServeException @@ -34,7 +35,8 @@ def call(): handle = serve.get_deployment_handle("d", "default") return handle.remote().result() else: - return httpx.get("http://localhost:8000/d", timeout=None).json() + url = get_application_url("HTTP") + return httpx.get(f"{url}/d", timeout=None).json() serve.run(d.bind()) resp, pid1 = call() @@ -157,7 +159,8 @@ def call(): handle = serve.get_deployment_handle(name, "app") return handle.handler.remote().result() else: - return httpx.get("http://localhost:8000/", timeout=None).json() + url = get_application_url("HTTP", app_name="app") + return httpx.get(f"{url}/", timeout=None).json() signal_name = f"signal-{get_random_string()}" signal = SignalActor.options(name=signal_name).remote() @@ -292,7 +295,8 @@ def call(): handle = serve.get_deployment_handle(name, "app") ret = handle.handler.remote().result() else: - ret = httpx.get(f"http://localhost:8000/{name}").text + url = get_application_url("HTTP", app_name="app") + ret = httpx.get(f"{url}/{name}").text return ret.split("|")[0], ret.split("|")[1] @@ -433,7 +437,8 @@ def call(): handle = serve.get_app_handle("app") ret = handle.remote().result() else: - ret = httpx.get(f"http://localhost:8000/{name}").text + url = get_application_url("HTTP", app_name="app") + ret = httpx.get(f"{url}/{name}").text return ret.split("|")[0], ret.split("|")[1] @@ -484,7 +489,8 @@ def call(): handle = serve.get_app_handle("app") ret = handle.remote().result() else: - ret = httpx.get(f"http://localhost:8000/{name}").text + url = get_application_url("HTTP", app_name="app") + ret = httpx.get(f"{url}/{name}").text return ret.split("|")[0], ret.split("|")[1] @@ -710,8 +716,9 @@ def __call__(self): assert serve.get_app_handle("a").remote().result() == "a" assert serve.get_app_handle("b").remote().result() == "b" - assert httpx.get("http://localhost:8000/a").text == "a" - assert httpx.get("http://localhost:8000/b").text == "b" + url = get_application_url("HTTP") + assert httpx.get(f"{url}/a").text == "a" + assert httpx.get(f"{url}/b").text == "b" def test_redeploy_multiple_apps_batched(serve_instance): diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index 2c92fd7dceb7..d83c4eb0afc1 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -14,7 +14,11 @@ from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.common import DeploymentStatus from ray.serve._private.logging_utils import get_serve_logs_dir -from ray.serve._private.test_utils import check_deployment_status, check_num_replicas_eq +from ray.serve._private.test_utils import ( + check_deployment_status, + check_num_replicas_eq, + get_application_url, +) from ray.serve._private.utils import get_component_file_name from ray.serve.schema import ApplicationStatus from ray.util.state import list_actors @@ -109,7 +113,7 @@ async def __call__(self): serve.run(A.bind()) - url = "http://127.0.0.1:8000/A" + url = get_application_url("HTTP") + "/A" with ThreadPoolExecutor() as pool: # Send the first request, it should block for the result first_blocking_fut = pool.submit(functools.partial(httpx.get, url, timeout=100)) @@ -239,7 +243,8 @@ def check_fail(): assert "No matching distribution found for does_not_exist" in deployment_message return True - wait_for_condition(check_fail, timeout=15) + # TODO: Figure out why timeout 30 is needed instead of 15 or lower the timeout to 15. + wait_for_condition(check_fail, timeout=30) def test_deploy_same_deployment_name_different_app(serve_instance): @@ -254,10 +259,15 @@ def __call__(self): serve.run(Model.bind("alice"), name="app1", route_prefix="/app1") serve.run(Model.bind("bob"), name="app2", route_prefix="/app2") - assert httpx.get("http://localhost:8000/app1").text == "hello alice" - assert httpx.get("http://localhost:8000/app2").text == "hello bob" - routes = httpx.get("http://localhost:8000/-/routes").json() + url = get_application_url("HTTP", app_name="app1") + assert httpx.get(f"{url}").text == "hello alice" + proxy_url = "http://localhost:8000/-/routes" + routes = httpx.get(proxy_url).json() assert routes["/app1"] == "app1" + + url = get_application_url("HTTP", app_name="app2") + assert httpx.get(f"{url}").text == "hello bob" + routes = httpx.get(proxy_url).json() assert routes["/app2"] == "app2" app1_status = serve.status().applications["app1"] diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 12459ccdc0a2..3e4a8afeb00f 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -1,6 +1,5 @@ import sys import time -from functools import partial from typing import Dict, List, Union import httpx @@ -15,6 +14,7 @@ from ray.serve._private.test_utils import ( check_num_replicas_gte, check_num_replicas_lte, + get_application_url, ) from ray.serve.schema import ( ApplicationStatus, @@ -29,28 +29,18 @@ from ray.util.state import list_actors -def check_running(): - assert ( - serve.status().applications[SERVE_DEFAULT_APP_NAME].status - == ApplicationStatus.RUNNING - ) +def check_running(app_name: str = SERVE_DEFAULT_APP_NAME): + assert serve.status().applications[app_name].status == ApplicationStatus.RUNNING return True -def check_endpoint(endpoint: str, json: Union[List, Dict], expected: str): - resp = httpx.post(f"http://localhost:8000/{endpoint}", json=json) +def check_endpoint(json: Union[List, Dict], expected: str, app_name: str = "default"): + url = get_application_url("HTTP", app_name=app_name) + resp = httpx.post(url, json=json) assert resp.text == expected return True -def check_deployments_dead(deployment_ids: List[DeploymentID]): - prefixes = [f"{id.app_name}#{id.name}" for id in deployment_ids] - actor_names = [ - actor["name"] for actor in list_actors(filters=[("state", "=", "ALIVE")]) - ] - return all(f"ServeReplica::{p}" not in actor_names for p in prefixes) - - def check_deploy_failed(app_name: str, message: str): status = serve.status().applications[app_name] assert status.status == "DEPLOY_FAILED" @@ -101,28 +91,28 @@ def check_multi_app(): wait_for_condition( check_endpoint, - endpoint="app1", json=["ADD", 2], expected="4 pizzas please!", + app_name="app1", ) wait_for_condition( check_endpoint, - endpoint="app1", json=["MUL", 3], expected="9 pizzas please!", + app_name="app1", ) wait_for_condition( check_endpoint, - endpoint="app2", json=["ADD", 2], expected="5 pizzas please!", + app_name="app2", ) wait_for_condition( check_endpoint, - endpoint="app2", json=["MUL", 3], expected="12 pizzas please!", + app_name="app2", ) @@ -174,13 +164,13 @@ def test_deploy_multi_app_update_config(serve_instance): ] client.deploy_apps(ServeDeploySchema.parse_obj(config)) + url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text - == "1 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "1 pizzas please!" ) + url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "12 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "12 pizzas please!" ) @@ -234,13 +224,13 @@ def test_deploy_multi_app_update_num_replicas(serve_instance): ] client.deploy_apps(ServeDeploySchema.parse_obj(config)) + url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text - == "2 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "2 pizzas please!", ) + url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "102 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "102 pizzas please!" ) wait_for_condition( @@ -264,12 +254,14 @@ def test_deploy_multi_app_update_timestamp(serve_instance): config = get_test_deploy_config() client.deploy_apps(ServeDeploySchema.parse_obj(config)) + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) first_deploy_time_app1 = serve.status().applications["app1"].last_deployed_time_s + url = get_application_url("HTTP", app_name="app1") first_deploy_time_app2 = serve.status().applications["app2"].last_deployed_time_s assert first_deploy_time_app1 > 0 and first_deploy_time_app2 > 0 - time.sleep(0.1) # app1 config["applications"][0]["deployments"] = [ @@ -286,7 +278,8 @@ def test_deploy_multi_app_update_timestamp(serve_instance): }, ] client.deploy_apps(ServeDeploySchema.parse_obj(config)) - + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) assert ( serve.status().applications["app1"].last_deployed_time_s > first_deploy_time_app1 @@ -300,9 +293,9 @@ def test_deploy_multi_app_update_timestamp(serve_instance): ApplicationStatus.DEPLOYING, ApplicationStatus.RUNNING, } + url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text - == "4 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" ) @@ -330,27 +323,28 @@ def test_deploy_multi_app_overwrite_apps(serve_instance): } ) client.deploy_apps(test_config) - - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" - ) + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) + url = get_application_url("HTTP", app_name="app1") + wait_for_condition(lambda: httpx.get(f"{url}").text == "wonderful world") + url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "4 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" ) # Switch the two application import paths test_config.applications[0].import_path = pizza_import_path test_config.applications[1].import_path = world_import_path client.deploy_apps(test_config) + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) + url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text - == "4 pizzas please!" - ) - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app2").text == "wonderful world" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" ) + url = get_application_url("HTTP", app_name="app2") + wait_for_condition(lambda: httpx.get(f"{url}").text == "wonderful world") def test_deploy_multi_app_overwrite_apps2(serve_instance): @@ -377,13 +371,13 @@ def test_deploy_multi_app_overwrite_apps2(serve_instance): ) # Deploy app1 and app2 client.deploy_apps(test_config) - - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" - ) + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) + url1 = get_application_url("HTTP", app_name="app1") + wait_for_condition(lambda: httpx.get(f"{url1}").text == "wonderful world") + url2 = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text - == "4 pizzas please!" + lambda: httpx.post(f"{url2}", json=["ADD", 2]).text == "4 pizzas please!" ) # Deploy app3 @@ -407,6 +401,7 @@ def test_deploy_multi_app_overwrite_apps2(serve_instance): } ) client.deploy_apps(new_config) + wait_for_condition(check_running, app_name="app3", timeout=15) def check_dead(): actors = list_actors( @@ -423,13 +418,15 @@ def check_dead(): wait_for_condition(check_dead) # App1 and App2 should be gone - assert httpx.get("http://localhost:8000/app1").status_code != 200 - assert httpx.post("http://localhost:8000/app2", json=["ADD", 2]).status_code != 200 + url1 = get_application_url("HTTP", app_name="app1") + assert httpx.get(f"{url1}").status_code != 200 + url2 = get_application_url("HTTP", app_name="app2") + assert httpx.post(f"{url2}", json=["ADD", 2]).status_code != 200 # App3 should be up and running + url3 = get_application_url("HTTP", app_name="app3") wait_for_condition( - lambda: httpx.post("http://localhost:8000/app3", json=["ADD", 2]).text - == "5 pizzas please!" + lambda: httpx.post(f"{url3}", json=["ADD", 2]).text == "5 pizzas please!" ) @@ -458,6 +455,8 @@ def test_deploy_multi_app_deployments_removed(serve_instance): ) # Deploy with pizza graph first client.deploy_apps(test_config) + wait_for_condition(check_running, app_name="app1", timeout=15) + url = get_application_url("HTTP", app_name="app1") def check_app(deployments): # Check that the live deployments and actors are what we expect: exactly the @@ -479,18 +478,17 @@ def check_app(deployments): wait_for_condition(check_app, deployments=pizza_deployments) wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text - == "4 pizzas please!" + lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" ) # Redeploy with world graph test_config.applications[0].import_path = world_import_path client.deploy_apps(test_config) + wait_for_condition(check_running, app_name="app1", timeout=15) + url = get_application_url("HTTP", app_name="app1") wait_for_condition(check_app, deployments=world_deployments) - wait_for_condition( - lambda: httpx.get("http://localhost:8000/app1").text == "wonderful world" - ) + wait_for_condition(lambda: httpx.post(f"{url}").text == "wonderful world") @pytest.mark.parametrize( @@ -519,7 +517,8 @@ def test_deploy_config_update_heavyweight(serve_instance, field_to_update: str): client.deploy_apps(ServeDeploySchema.parse_obj(config_template)) wait_for_condition(check_running, timeout=15) - pid1, _ = httpx.get("http://localhost:8000/f").json() + url = get_application_url("HTTP", app_name=SERVE_DEFAULT_APP_NAME) + pid1, _ = httpx.get(f"{url}").json() if field_to_update == "import_path": config_template["applications"][0][ @@ -536,10 +535,11 @@ def test_deploy_config_update_heavyweight(serve_instance, field_to_update: str): client.deploy_apps(ServeDeploySchema.parse_obj(config_template)) wait_for_condition(check_running, timeout=15) + url = get_application_url("HTTP", app_name=SERVE_DEFAULT_APP_NAME) pids = [] for _ in range(4): - pids.append(httpx.get("http://localhost:8000/f").json()[0]) + pids.append(httpx.get(f"{url}").json()[0]) assert pid1 not in pids @@ -555,9 +555,9 @@ def test_update_config_user_config(serve_instance): # Deploy first time client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) wait_for_condition(check_running, timeout=15) - # Query - pid1, res = httpx.get("http://localhost:8000/f").json() + url = get_application_url("HTTP") + pid1, res = httpx.get(f"{url}/f").json() assert res == "alice" # Redeploy with updated option @@ -568,7 +568,7 @@ def test_update_config_user_config(serve_instance): def check(): pids = [] for _ in range(4): - pid, res = httpx.get("http://localhost:8000/f").json() + pid, res = httpx.get(f"{url}/f").json() assert res == "bob" pids.append(pid) assert pid1 in pids @@ -577,44 +577,6 @@ def check(): wait_for_condition(check) -def test_update_config_graceful_shutdown_timeout(serve_instance): - """Check that replicas stay alive when graceful_shutdown_timeout_s is updated""" - client = serve_instance - - config_template = { - "import_path": "ray.serve.tests.test_config_files.pid.node", - "deployments": [{"name": "f", "graceful_shutdown_timeout_s": 1000}], - } - - # Deploy first time - client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) - wait_for_condition(check_running, timeout=15) - handle = serve.get_app_handle(SERVE_DEFAULT_APP_NAME) - - # Start off with signal ready, and send query - handle.send.remote().result() - pid1 = handle.remote().result()[0] - print("PID of replica after first deployment:", pid1) - - # Redeploy with shutdown timeout set to 5 seconds - config_template["deployments"][0]["graceful_shutdown_timeout_s"] = 5 - client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) - wait_for_condition(check_running, timeout=15) - - pid2 = handle.remote().result()[0] - assert pid1 == pid2 - print("PID of replica after redeployment:", pid2) - - # Send blocking query - handle.send.remote(clear=True) - handle.remote() - # Try to delete deployment, should be blocked until the timeout at 5 seconds - client.delete_apps([SERVE_DEFAULT_APP_NAME], blocking=False) - # Replica should be dead within 10 second timeout, which means - # graceful_shutdown_timeout_s was successfully updated lightweightly - wait_for_condition(partial(check_deployments_dead, [DeploymentID(name="f")])) - - def test_update_config_max_ongoing_requests(serve_instance): """Check that replicas stay alive when max_ongoing_requests is updated.""" client = serve_instance @@ -826,18 +788,17 @@ def test_deploy_separate_runtime_envs(serve_instance): } client.deploy_apps(ServeDeploySchema(**config_template)) - + wait_for_condition(check_running, app_name="app1", timeout=15) + wait_for_condition(check_running, app_name="app2", timeout=15) wait_for_condition( check_endpoint, - endpoint="app1", json=["ADD", 2], expected="0 pizzas please!", + app_name="app1", timeout=90, ) - - wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2").text == "Hello world!" - ) + url = get_application_url("HTTP", app_name="app2") + wait_for_condition(lambda: httpx.post(f"{url}").text == "Hello world!") def test_deploy_multi_app_deleting(serve_instance): diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 03d0e18a22ed..0c379082e77b 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -3,6 +3,8 @@ import sys import time from copy import copy +from functools import partial +from typing import List import httpx import pytest @@ -11,7 +13,7 @@ import ray.actor from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition -from ray.serve._private.common import ReplicaID +from ray.serve._private.common import DeploymentID, ReplicaID from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE from ray.serve._private.test_utils import ( check_num_replicas_eq, @@ -36,6 +38,14 @@ def check_log_file(log_file: str, expected_regex: list): return True +def check_deployments_dead(deployment_ids: List[DeploymentID]): + prefixes = [f"{id.app_name}#{id.name}" for id in deployment_ids] + actor_names = [ + actor["name"] for actor in list_actors(filters=[("state", "=", "ALIVE")]) + ] + return all(f"ServeReplica::{p}" not in actor_names for p in prefixes) + + class TestDeploywithLoggingConfig: def get_deploy_config(self, model_within_logging_config: bool = False): if model_within_logging_config: @@ -776,5 +786,43 @@ def check(): ) +def test_update_config_graceful_shutdown_timeout(serve_instance): + """Check that replicas stay alive when graceful_shutdown_timeout_s is updated""" + client = serve_instance + + config_template = { + "import_path": "ray.serve.tests.test_config_files.pid.node", + "deployments": [{"name": "f", "graceful_shutdown_timeout_s": 1000}], + } + + # Deploy first time + client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) + wait_for_condition(check_running, timeout=15) + handle = serve.get_app_handle(SERVE_DEFAULT_APP_NAME) + + # Start off with signal ready, and send query + handle.send.remote().result() + pid1 = handle.remote().result()[0] + print("PID of replica after first deployment:", pid1) + + # Redeploy with shutdown timeout set to 5 seconds + config_template["deployments"][0]["graceful_shutdown_timeout_s"] = 5 + client.deploy_apps(ServeDeploySchema.parse_obj({"applications": [config_template]})) + wait_for_condition(check_running, timeout=15) + + pid2 = handle.remote().result()[0] + assert pid1 == pid2 + print("PID of replica after redeployment:", pid2) + + # Send blocking query + handle.send.remote(clear=True) + handle.remote() + # Try to delete deployment, should be blocked until the timeout at 5 seconds + client.delete_apps([SERVE_DEFAULT_APP_NAME], blocking=False) + # Replica should be dead within 10 second timeout, which means + # graceful_shutdown_timeout_s was successfully updated lightweightly + wait_for_condition(partial(check_deployments_dead, [DeploymentID(name="f")])) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/test_failure.py b/python/ray/serve/tests/test_failure.py index 3dbbb140d6b5..46ed62bfb086 100644 --- a/python/ray/serve/tests/test_failure.py +++ b/python/ray/serve/tests/test_failure.py @@ -16,6 +16,7 @@ from ray.serve._private.test_utils import ( Counter, check_num_replicas_eq, + get_application_url, get_deployment_details, tlog, ) @@ -25,8 +26,11 @@ def request_with_retries(endpoint, timeout=30): start = time.time() while True: try: - return httpx.get("http://127.0.0.1:8000" + endpoint, timeout=timeout) - except httpx.RequestError: + return httpx.get( + get_application_url("HTTP") + endpoint, + timeout=timeout, + ) + except (httpx.RequestError, IndexError): if time.time() - start > timeout: raise TimeoutError time.sleep(0.1) @@ -253,7 +257,6 @@ def make_blocked_request(): blocked_ref = make_blocked_request.remote() with pytest.raises(TimeoutError): ray.get(blocked_ref, timeout=1) - # If the proxy's loop was blocked, these would hang. httpx.get("http://localhost:8000/-/routes").raise_for_status() httpx.get("http://localhost:8000/-/healthz").raise_for_status() From ff19ccea8b9a5c33d7597237662aea98d1fb6e0c Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Thu, 10 Jul 2025 01:12:35 +0530 Subject: [PATCH 0116/1566] [serve] tests for log formatter (#54248) - added more test cases for testing stderr logging in the case of JSON as the log encoder - add new test for verifying logging file output in case of TEXT and JSON as the log encoder Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD | 2 +- python/ray/serve/tests/test_logging.py | 312 +++++++++++++++++++++++-- 2 files changed, 290 insertions(+), 24 deletions(-) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index e4bf47dc648b..abe86df27558 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -81,7 +81,6 @@ py_test_module_list( "test_healthcheck.py", "test_http_headers.py", "test_http_routes.py", - "test_logging.py", "test_max_replicas_per_node.py", "test_multiplex.py", "test_proxy.py", @@ -133,6 +132,7 @@ py_test_module_list( "test_autoscaling_policy.py", "test_deploy.py", "test_grpc.py", + "test_logging.py", "test_standalone.py", "test_standalone_3.py", "test_telemetry_1.py", diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 8fb6cf4de7db..6ce4be0a9c75 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -33,6 +33,7 @@ get_serve_logs_dir, redirected_print, ) +from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import get_component_file_name from ray.serve.context import _get_global_client from ray.serve.schema import EncodingType, LoggingConfig @@ -101,7 +102,12 @@ def __call__(self): assert rotation_config["backup_count"] == backup_count -def test_http_access_log(serve_instance): +@pytest.mark.parametrize("log_format", ["TEXT", "JSON"]) +def test_http_access_log_in_stderr(serve_instance, log_format): + if log_format == "JSON": + # TODO (SERVE-908|harshit): This test is flaky in premerge. + pytest.skip("The test for JSON log format is flaky, skipping for now.") + name = "deployment_name" fastapi_app = FastAPI() @@ -128,7 +134,7 @@ def template(self, status: str): def fail(self): raise RuntimeError("OOPS!") - serve.run(Handler.bind()) + serve.run(Handler.bind(), logging_config={"encoding": log_format}) f = io.StringIO() with redirect_stderr(f): @@ -153,14 +159,21 @@ def check_log( ] ) - r = httpx.get("http://localhost:8000/") + url = get_application_url(use_localhost=True) + + r = httpx.get(url) assert r.status_code == 200 replica_id = ReplicaID(unique_id=r.text, deployment_id=DeploymentID(name=name)) wait_for_condition( - check_log, replica_id=replica_id, method="GET", route="/", status_code="200" + check_log, + replica_id=replica_id, + method="GET", + route="/", + status_code="200", + timeout=20, ) - r = httpx.post("http://localhost:8000/") + r = httpx.post(url) assert r.status_code == 200 wait_for_condition( check_log, @@ -168,9 +181,10 @@ def check_log( method="POST", route="/", status_code="200", + timeout=20, ) - r = httpx.get("http://localhost:8000/350") + r = httpx.get(f"{url}/350") assert r.status_code == 350 wait_for_condition( check_log, @@ -178,9 +192,10 @@ def check_log( method="GET", route="/{status}", status_code="350", + timeout=20, ) - r = httpx.put("http://localhost:8000/fail") + r = httpx.put(f"{url}/fail") assert r.status_code == 500 wait_for_condition( check_log, @@ -189,9 +204,232 @@ def check_log( route="/fail", status_code="500", fail=True, + timeout=20, ) +@pytest.mark.parametrize("log_format", ["TEXT", "JSON"]) +def test_http_access_log_in_logs_file(serve_instance, log_format): + name = "deployment_name" + fastapi_app = FastAPI() + + @serve.deployment(name=name) + @serve.ingress(fastapi_app) + class Handler: + def __init__(self): + self._replica_unique_id = serve.get_replica_context().replica_id.unique_id + + def _get_context_info(self): + """Get context information for matching with logs""" + request_context = ray.serve.context._get_serve_request_context() + return { + "replica": self._replica_unique_id, + "request_id": request_context.request_id, + "worker_id": ray.get_runtime_context().get_worker_id(), + "node_id": ray.get_runtime_context().get_node_id(), + "actor_id": ray.get_runtime_context().get_actor_id(), + } + + @fastapi_app.get("/") + def get_root(self): + return self._get_context_info() + + @fastapi_app.post("/") + def post_root(self): + return self._get_context_info() + + @fastapi_app.get("/{status}") + def template(self, status: str): + content_info = {"context": self._get_context_info()} + return PlainTextResponse( + content=json.dumps(content_info), + status_code=int(status), + media_type="application/json", + ) + + @fastapi_app.put("/fail") + def fail(self): + error_response = {"error": "OOPS!", "context": self._get_context_info()} + return PlainTextResponse( + content=json.dumps(error_response), + status_code=500, + media_type="application/json", + ) + + serve.run(Handler.bind(), logging_config={"encoding": log_format}) + + # Get log file information + client = _get_global_client() + serve_log_dir = get_serve_logs_dir() + replicas = ray.get( + client._controller.get_deployment_details.remote("default", name) + ).replicas + replica_id = replicas[0].replica_id + replica_log_file_name = f"replica_default_{name}_{replica_id}.log" + log_file_path = os.path.join(serve_log_dir, replica_log_file_name) + + url = get_application_url(use_localhost=True) + + # Define the HTTP calls to make + http_calls = [ + { + "method": "GET", + "url": url, + "expected_status": 200, + "expected_route": "/", + }, + { + "method": "POST", + "url": url, + "expected_status": 200, + "expected_route": "/", + }, + { + "method": "GET", + "url": f"{url}/350", + "expected_status": 350, + "expected_route": "/{status}", + }, + { + "method": "PUT", + "url": f"{url}/fail", + "expected_status": 500, + "expected_route": "/fail", + }, + ] + + def get_file_end_position(file_path): + """Get the current end position of the file""" + try: + with open(file_path, "r") as f: + f.seek(0, 2) # Seek to end of file + return f.tell() + except FileNotFoundError: + return 0 + + def create_line_checker(file_path, start_pos): + """Create a function that checks for new lines and captures them""" + captured_lines = {"lines": []} + + def check_for_new_lines(): + """Get new lines added to the file since start_position and return if any exist""" + try: + with open(file_path, "r") as f: + f.seek(start_pos) + new_content = f.read() + lines = new_content.splitlines() if new_content else [] + captured_lines["lines"] = lines + except FileNotFoundError: + captured_lines["lines"] = [] + + return len(captured_lines["lines"]) > 0 + + return check_for_new_lines, captured_lines + + def verify_http_response_in_logs( + response, new_log_lines, call_info, log_format, context_info=None + ): + """Verify that the HTTP response matches the new log entries""" + if not new_log_lines: + print("No new log lines found") + return False + + if log_format == "JSON": + for line in new_log_lines: + if line.strip(): + try: + log_data = json.loads(line.strip()) + message = log_data.get("message", "") + + if all( + [ + f"default_{name}" == log_data.get("deployment"), + f"{call_info['method']} {call_info['expected_route']} {call_info['expected_status']}" + in message, + "ms" in message, + ( + context_info is not None + and log_data.get("request_id") + == context_info["request_id"] + and log_data.get("worker_id") + == context_info["worker_id"] + and log_data.get("node_id") + == context_info["node_id"] + and log_data.get("replica") + == context_info["replica"] + ), + ] + ): + return True + + except json.JSONDecodeError: + continue + else: + for line in new_log_lines: + if all( + [ + name in line, + f"default_{name} {replica_id}" in line, + f"-- {call_info['method']} {call_info['expected_route']} {call_info['expected_status']}" + in line, + "ms" in line, + ] + ): + return True + + return False + + # Process each HTTP call individually + for i, call_info in enumerate(http_calls): + # Step 1: Get current file end position + start_position = get_file_end_position(log_file_path) + + # Step 2: Make HTTP call + if call_info["method"] == "GET": + response = httpx.get(call_info["url"]) + elif call_info["method"] == "POST": + response = httpx.post(call_info["url"]) + elif call_info["method"] == "PUT": + response = httpx.put(call_info["url"]) + else: + raise ValueError(f"Unsupported HTTP method: {call_info['method']}") + + # Verify response status + assert ( + response.status_code == call_info["expected_status"] + ), f"Expected status {call_info['expected_status']}, got {response.status_code}" + + # Extract context information from response + context_info = None + response_data = response.json() + + # For all routes apart from `/` endpoint, context info is nested under "context" key + if call_info["expected_route"] == "/": + context_info = response_data + elif "context" in response_data: + context_info = response_data["context"] + else: + raise ValueError( + f"Could not extract context info from response: {response.text}" + ) + + # Step 3: Wait a bit for logs to be written, then get new lines + line_checker, captured_lines = create_line_checker( + log_file_path, start_position + ) + wait_for_condition(line_checker, retry_interval_ms=1000) + new_log_lines = captured_lines["lines"] + + # Step 4: Verify HTTP response matches new log lines + match_found = verify_http_response_in_logs( + response, new_log_lines, call_info, log_format, context_info + ) + + assert ( + match_found + ), f"No matching log entry found for {call_info['method']} {call_info['expected_route']}" + + def test_handle_access_log(serve_instance): name = "handler" @@ -326,7 +564,8 @@ def __call__(self, *args) -> str: serve.run(A.bind()) - r = httpx.get("http://localhost:8000/") + url = get_application_url(use_localhost=True) + r = httpx.get(url) r.raise_for_status() assert r.text == "hi" @@ -385,10 +624,13 @@ def __call__(self, req: starlette.requests.Request): serve.run(fn.bind(), name="app1", route_prefix="/fn") serve.run(Model.bind(), name="app2", route_prefix="/class_method") + url = get_application_url(app_name="app1", use_localhost=True) + url2 = get_application_url(app_name="app2", use_localhost=True) + f = io.StringIO() with redirect_stderr(f): - resp = httpx.get("http://127.0.0.1:8000/fn").json() - resp2 = httpx.get("http://127.0.0.1:8000/class_method").json() + resp = httpx.get(url).json() + resp2 = httpx.get(url2).json() # Check the component log expected_log_infos = [ @@ -487,7 +729,9 @@ def fn(*args): } serve.run(fn.bind(), name="app1", route_prefix="/fn") - resp = httpx.get("http://127.0.0.1:8000/fn") + url = get_application_url(app_name="app1", use_localhost=True) + + resp = httpx.get(url) if raise_error: resp.status_code == 500 else: @@ -549,7 +793,9 @@ def __call__(self, req: starlette.requests.Request): } serve.run(Model.bind()) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() replica_id = resp["replica"].split("#")[-1] if encoding_type == "JSON": @@ -571,7 +817,9 @@ def __call__(self, req: starlette.requests.Request): } serve.run(Model.bind()) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() expected_log_regex = [".*model_info_level.*"] check_log_file(resp["log_file"], expected_log_regex) @@ -580,7 +828,9 @@ def __call__(self, req: starlette.requests.Request): check_log_file(resp["log_file"], [".*model_debug_level.*"]) serve.run(Model.options(logging_config={"log_level": "DEBUG"}).bind()) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() expected_log_regex = [".*model_info_level.*", ".*model_debug_level.*"] check_log_file(resp["log_file"], expected_log_regex) @@ -601,7 +851,9 @@ def __call__(self, req: starlette.requests.Request): raise AssertionError("No memory handler found") serve.run(Model.bind()) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() paths = resp["logs_path"].split("/") paths[-1] = "new_dir" @@ -615,7 +867,9 @@ def __call__(self, req: starlette.requests.Request): } ).bind() ) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() assert "new_dir" in resp["logs_path"] check_log_file(resp["logs_path"], [".*model_info_level.*"]) @@ -640,8 +894,9 @@ def __call__(self, req: starlette.requests.Request): } serve.run(Model.bind()) + url = get_application_url(use_localhost=True) - resp = httpx.get("http://127.0.0.1:8000/") + resp = httpx.get(url) assert resp.status_code == 200 resp = resp.json() check_log_file(resp["logs_path"], [".*model_info_level.*"]) @@ -674,8 +929,9 @@ def __call__(self, req: starlette.requests.Request): } serve.run(Model.bind()) + url = get_application_url(use_localhost=True) - resp = httpx.get("http://127.0.0.1:8000/") + resp = httpx.get(url) assert resp.status_code == 200 resp = resp.json() if encoding_type == "JSON": @@ -695,7 +951,9 @@ def __call__(self, req: starlette.requests.Request): } serve.run(Model.bind(), logging_config={"log_level": "DEBUG"}) - resp = httpx.get("http://127.0.0.1:8000/").json() + url = get_application_url(use_localhost=True) + + resp = httpx.get(url).json() expected_log_regex = [".*model_info_level.*", ".*model_debug_level.*"] check_log_file(resp["log_file"], expected_log_regex) @@ -718,7 +976,9 @@ def __call__(self, req: starlette.requests.Request): name="app2", route_prefix="/app2", ) - resp = httpx.get("http://127.0.0.1:8000/app2").json() + url = get_application_url(app_name="app2", use_localhost=True) + + resp = httpx.get(url).json() check_log_file(resp["log_file"], [".*model_info_level.*"]) # Make sure 'model_debug_level' log content does not exist. with pytest.raises(AssertionError): @@ -873,7 +1133,9 @@ def disable_stdout(): app = disable_stdout.bind() serve.run(app) - httpx.get("http://localhost:8000/", timeout=None) + url = get_application_url(use_localhost=True) + + httpx.get(url, timeout=None) # Check if each of the logs exist in Serve's log files. from_serve_logger_check = False @@ -923,7 +1185,9 @@ def app(): app = app.bind() serve.run(app, logging_config=logging_config) - r = httpx.get("http://127.0.0.1:8000/") + url = get_application_url(use_localhost=True) + + r = httpx.get(url) assert r.status_code == 200 # Construct serve log file names. @@ -1021,7 +1285,9 @@ def __call__(self): return "foo" serve.run(App.bind()) - r = httpx.get("http://127.0.0.1:8000/") + url = get_application_url(use_localhost=True) + + r = httpx.get(f"{url}") assert r.status_code == 200 for log_file in os.listdir(logs_dir): with open(logs_dir / log_file) as f: From 44a12ae019a3ae93e21125c10d50380fa8ccd69a Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Wed, 9 Jul 2025 12:50:45 -0700 Subject: [PATCH 0117/1566] [Data] Prevent Op fusion for streaming repartition (#54469) ## Why are these changes needed? For streaming repartition, prevent operator fusion with operator MapOperators in the planner. ## Related issue number Closes #54448 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- .../data/_internal/planner/plan_udf_map_op.py | 2 + python/ray/data/tests/test_repartition_e2e.py | 84 +++++++++++++++++++ 2 files changed, 86 insertions(+) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index ff30f43bf76c..f6ccf861bd0e 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -149,6 +149,7 @@ def plan_streaming_repartition_op( transform_fn = BuildOutputBlocksMapTransformFn.for_blocks() transform_fn.set_target_num_rows_per_block(op.target_num_rows_per_block) map_transformer = MapTransformer([transform_fn]) + # Disable fusion for streaming repartition with the downstream op. return MapOperator.create( map_transformer, input_physical_dag, @@ -157,6 +158,7 @@ def plan_streaming_repartition_op( compute_strategy=compute, ray_remote_args=op._ray_remote_args, ray_remote_args_fn=op._ray_remote_args_fn, + supports_fusion=False, ) diff --git a/python/ray/data/tests/test_repartition_e2e.py b/python/ray/data/tests/test_repartition_e2e.py index 5030060c7e18..481022738a01 100644 --- a/python/ray/data/tests/test_repartition_e2e.py +++ b/python/ray/data/tests/test_repartition_e2e.py @@ -2,6 +2,8 @@ import pytest import ray +from ray.data._internal.logical.optimizers import PhysicalOptimizer +from ray.data._internal.planner import create_planner from ray.data.block import BlockAccessor from ray.data.context import DataContext, ShuffleStrategy from ray.data.tests.conftest import * # noqa @@ -222,6 +224,88 @@ def test_repartition_empty_datasets(ray_start_regular_shared_2_cpus, shuffle): assert metadata.size_bytes == 0 +def test_streaming_repartition_write_no_operator_fusion( + ray_start_regular_shared_2_cpus, tmp_path, disable_fallback_to_object_extension +): + """Test that write with streaming repartition produces exact partitions + without operator fusion. + This test verifies: + 1. StreamingRepartition and Write operators are not fused + 2. Exact partition structure is maintained + 3. Skewed data is properly distributed across partitions + """ + + # Configure shuffle strategy + ctx = DataContext.get_current() + ctx._shuffle_strategy = ShuffleStrategy.HASH_SHUFFLE + + num_rows = 100 + partition_col = "skewed_key" + + # Create sample data with skewed partitioning + # 1 occurs for every 5th row (20 rows), 0 for others (80 rows) + table = [{"id": n, partition_col: 1 if n % 5 == 0 else 0} for n in range(num_rows)] + ds = ray.data.from_items(table) + + # Repartition by key to simulate shuffle + ds = ds.repartition(num_blocks=2, keys=[partition_col]) + + # Further rebalance to meet target row size + ds = ds.repartition(target_num_rows_per_block=20) + + # Verify non-fusion of map_batches with repartition + ds = ds.map_batches(lambda x: x) + planner = create_planner() + physical_plan = planner.plan(ds._logical_plan) + physical_plan = PhysicalOptimizer().optimize(physical_plan) + physical_op = physical_plan.dag + assert physical_op.name == "MapBatches()" + assert len(physical_op.input_dependencies) == 1 + + # Verify that StreamingRepartition physical operator has supports_fusion=False + up_physical_op = physical_op.input_dependencies[0] + assert up_physical_op.name == "StreamingRepartition" + assert not getattr( + up_physical_op, "_supports_fusion", True + ), "StreamingRepartition should have supports_fusion=False" + + # Write output to local Parquet files partitioned by key + ds.write_parquet(path=tmp_path, partition_cols=[partition_col]) + + # Verify exact number of files created based on target_num_rows_per_block=20 + # 80 rows with key=0 should create 4 files (80/20=4) + # 20 rows with key=1 should create 1 file (20/20=1) + # Total should be 5 files + # Note: Partition column values are returned as strings when reading partitioned Parquet + partition_0_files = list((tmp_path / f"{partition_col}=0").glob("*.parquet")) + partition_1_files = list((tmp_path / f"{partition_col}=1").glob("*.parquet")) + + assert ( + len(partition_0_files) == 4 + ), f"Expected 4 files in partition 0, got {len(partition_0_files)}" + assert ( + len(partition_1_files) == 1 + ), f"Expected 1 file in partition 1, got {len(partition_1_files)}" + + total_files = len(partition_0_files) + len(partition_1_files) + assert ( + total_files == 5 + ), f"Expected exactly 5 parquet files total, got {total_files}" + + # Verify data can be read back correctly with expected row count + ds_read_back = ray.data.read_parquet(str(tmp_path)) + assert ( + ds_read_back.count() == num_rows + ), f"Expected {num_rows} total rows when reading back" + + # Verify per-partition row counts + partition_0_ds = ray.data.read_parquet(str(tmp_path / f"{partition_col}=0")) + partition_1_ds = ray.data.read_parquet(str(tmp_path / f"{partition_col}=1")) + + assert partition_0_ds.count() == 80, "Expected 80 rows in partition 0" + assert partition_1_ds.count() == 20, "Expected 20 rows in partition 1" + + if __name__ == "__main__": import sys From c34e21c96b788afe5934f53e8c198face5f80190 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Wed, 9 Jul 2025 13:05:52 -0700 Subject: [PATCH 0118/1566] [core][tune] fix RayTaskError (de)serialization logic (#54396) Fixes a (de)serialization issue in `RayTaskError` that happens when the original cause has its own `__reduce__` method defined. ``` TypeError: RayTaskError._make_normal_dual_exception_instance..cls.__init__() takes 2 positional arguments but 3 were given ``` --------- Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- python/ray/exceptions.py | 12 +++---- python/ray/tests/test_failure.py | 29 ++++++++++++++++ .../tune/tests/test_train_v2_integration.py | 33 ++++++++++++++++++- 3 files changed, 67 insertions(+), 7 deletions(-) diff --git a/python/ray/exceptions.py b/python/ray/exceptions.py index 3ebf30fb7f0e..a91b010ff93b 100644 --- a/python/ray/exceptions.py +++ b/python/ray/exceptions.py @@ -168,11 +168,11 @@ def _make_normal_dual_exception_instance(self) -> "RayTaskError": class cls(RayTaskError, cause_cls): def __init__(self, cause): self.cause = cause - # BaseException implements a __reduce__ method that returns - # a tuple with the type and the value of self.args. - # https://stackoverflow.com/a/49715949/2213289 self.args = (cause,) + def __reduce__(self): + return (cls, self.args) + def __getattr__(self, name): return getattr(self.cause, name) @@ -196,11 +196,11 @@ def __new__(cls, cause): def __init__(self, cause): self.cause = cause - # BaseException implements a __reduce__ method that returns - # a tuple with the type and the value of self.args. - # https://stackoverflow.com/a/49715949/2213289 self.args = (cause,) + def __reduce__(self): + return (cls, self.args) + def __getattr__(self, name): return getattr(self.cause, name) diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index 9c4cc3f389d1..d2d2f650138a 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -775,5 +775,34 @@ def consume_large_object(obj): assert ray.get(consume_ref, timeout=10) > 0 +def test_raytaskerror_serialization(ray_start_regular): + """Test that RayTaskError with dual exception instances can be properly serialized.""" + import ray.cloudpickle as pickle + + class MyException(Exception): + def __init__(self, one, two): + self.one = one + self.two = two + + def __reduce__(self): + return self.__class__, (self.one, self.two) + + original_exception = MyException("test 1", "test 2") + ray_task_error = ray.exceptions.RayTaskError( + function_name="test_function", + traceback_str="test traceback", + cause=original_exception, + ) + + dual_exception = ray_task_error.make_dual_exception_instance() + pickled = pickle.dumps(dual_exception) + unpickled = pickle.loads(pickled) + + assert isinstance(unpickled, ray.exceptions.RayTaskError) + assert isinstance(unpickled, MyException) + assert unpickled.one == "test 1" + assert unpickled.two == "test 2" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tune/tests/test_train_v2_integration.py b/python/ray/tune/tests/test_train_v2_integration.py index c812ebe90d85..011e4eeb4fd4 100644 --- a/python/ray/tune/tests/test_train_v2_integration.py +++ b/python/ray/tune/tests/test_train_v2_integration.py @@ -14,7 +14,14 @@ NUM_GPUS_IN_CLUSTER = 4 -@pytest.fixture(scope="module") +@pytest.fixture() +def ray_start_4_cpus(): + ray.init(num_cpus=4) + yield + ray.shutdown() + + +@pytest.fixture() def ray_cpu_head_gpu_worker(): cluster = Cluster() cluster.add_node(resources={TRAIN_DRIVER_RESOURCE_NAME: 1}) @@ -104,5 +111,29 @@ def launch_training(tune_config): assert world_sizes == set(num_workers_grid_search) +def test_errors(ray_start_4_cpus): + """Test that errors in training are properly captured and reported.""" + + def train_worker_fn(): + raise RuntimeError("Simulated training error") + + def train_fn(config): + trainer = DataParallelTrainer(train_worker_fn) + trainer.fit() + + tuner = ray.tune.Tuner(train_fn) + + results = tuner.fit() + + assert results.errors, "Expected errors to be captured" + assert len(results.errors) == 1, "Expected exactly one error" + + error = results.errors[0] + assert "RuntimeError" in str(error), f"Expected RuntimeError, got: {error}" + assert "Simulated training error" in str( + error + ), f"Expected specific error message, got: {error}" + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-x", __file__])) From a01402b8e346bb0b3137145e77d7af83b417515d Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 9 Jul 2025 16:25:31 -0400 Subject: [PATCH 0119/1566] [Data] Re-enable sorting Ray Data tests (#54475) ## Why are these changes needed? These are now fixed, marking them back as stable. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- release/release_data_tests.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 83f2eff8483f..573ca7dd9599 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -413,9 +413,6 @@ - name: "sort_{{scaling}}" - # This test intermittently fails due to Arrow offset overflow errors, or OOD from - # overly-conservative autoscaling. - stable: False matrix: setup: From 7a610faf3f04c929a7db270a0c02dcccd61120f4 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 9 Jul 2025 16:33:32 -0400 Subject: [PATCH 0120/1566] [Data] Fixing `map_groups` issues (#54462) ## Why are these changes needed? 1. Addressing serializability issues reported in https://github.com/ray-project/ray/issues/54280 2. Avoid back-and-forth conversion from block to batch and back 3. Expose `zero_copy_batch` option ## Related issue number Addresses https://github.com/ray-project/ray/issues/54280 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/grouped_data.py | 88 +++++++++++++++++++++------------ 1 file changed, 57 insertions(+), 31 deletions(-) diff --git a/python/ray/data/grouped_data.py b/python/ray/data/grouped_data.py index 024b1e54acb3..0771c6bac3f6 100644 --- a/python/ray/data/grouped_data.py +++ b/python/ray/data/grouped_data.py @@ -1,11 +1,12 @@ from functools import partial -from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union +from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union from ray.data._internal.compute import ComputeStrategy from ray.data._internal.logical.interfaces import LogicalPlan from ray.data._internal.logical.operators.all_to_all_operator import Aggregate from ray.data.aggregate import AggregateFn, Count, Max, Mean, Min, Std, Sum from ray.data.block import ( + Block, BlockAccessor, CallableClass, DataBatch, @@ -97,6 +98,7 @@ def map_groups( self, fn: UserDefinedFunction[DataBatch, DataBatch], *, + zero_copy_batch: bool = False, compute: Union[str, ComputeStrategy] = None, batch_format: Optional[str] = "default", fn_args: Optional[Iterable[Any]] = None, @@ -157,6 +159,8 @@ def map_groups( that can be instantiated to create such a callable. It takes as input a batch of all records from a single group, and returns a batch of zero or more records, similar to map_batches(). + zero_copy_batch: If True, each group of rows (batch) will be provided w/o + making an additional copy. compute: This argument is deprecated. Use ``concurrency`` argument. batch_format: Specify ``"default"`` to use the default block format (NumPy), ``"pandas"`` to select ``pandas.DataFrame``, "pyarrow" to @@ -240,34 +244,23 @@ def map_groups( # The batch is the entire block, because we have batch_size=None for # map_batches() below. - def _apply_udf_to_groups(udf, batch, *args, **kwargs): - block = BlockAccessor.batch_to_block(batch) - block_accessor = BlockAccessor.for_block(block) - - if self._key is None: - keys = [] - elif isinstance(self._key, str): - keys = [self._key] - elif isinstance(self._key, List): - keys = self._key - else: - raise ValueError( - f"Group-by keys are expected to either be a single column (str) " - f"or a list of columns (got '{self._key}')" - ) - - boundaries = block_accessor._get_group_boundaries_sorted(keys) - for start, end in zip(boundaries[:-1], boundaries[1:]): - group_block = block_accessor.slice(start, end, copy=False) - group_block_accessor = BlockAccessor.for_block(group_block) - # Convert block of each group to batch format here, because the - # block format here can be different from batch format - # (e.g. block is Arrow format, and batch is NumPy format). - group_batch = group_block_accessor.to_batch_format(batch_format) - applied = udf(group_batch, *args, **kwargs) - yield applied + if self._key is None: + keys = [] + elif isinstance(self._key, str): + keys = [self._key] + elif isinstance(self._key, List): + keys = self._key + else: + raise ValueError( + f"Group-by keys are expected to either be a single column (str) " + f"or a list of columns (got '{self._key}')" + ) + # NOTE: It's crucial to make sure that UDF isn't capturing `GroupedData` + # object in its closure to ensure its serializability + # + # See https://github.com/ray-project/ray/issues/54280 for more details if isinstance(fn, CallableClass): class wrapped_fn: @@ -275,12 +268,16 @@ def __init__(self, *args, **kwargs): self.fn = fn(*args, **kwargs) def __call__(self, batch, *args, **kwargs): - yield from _apply_udf_to_groups(self.fn, batch, *args, **kwargs) + yield from _apply_udf_to_groups( + self.fn, batch, keys, batch_format, *args, **kwargs + ) else: def wrapped_fn(batch, *args, **kwargs): - yield from _apply_udf_to_groups(fn, batch, *args, **kwargs) + yield from _apply_udf_to_groups( + fn, batch, keys, batch_format, *args, **kwargs + ) # Change the name of the wrapped function so that users see the name of their # function rather than `wrapped_fn` in the progress bar. @@ -295,8 +292,11 @@ def wrapped_fn(batch, *args, **kwargs): wrapped_fn, batch_size=None, compute=compute, - batch_format=batch_format, - zero_copy_batch=False, + # NOTE: We specify `batch_format` as none to avoid converting + # back-n-forth between batch and block formats (instead we convert + # once per group inside the method applying the UDF itself) + batch_format=None, + zero_copy_batch=zero_copy_batch, fn_args=fn_args, fn_kwargs=fn_kwargs, fn_constructor_args=fn_constructor_args, @@ -540,5 +540,31 @@ def std( return self._aggregate_on(Std, on, ignore_nulls=ignore_nulls, ddof=ddof) +def _apply_udf_to_groups( + udf: Callable[[DataBatch, ...], DataBatch], + block: Block, + keys: List[str], + batch_format: Optional[str], + *args: Any, + **kwargs: Any, +) -> Iterator[DataBatch]: + """Apply UDF to groups of rows having the same set of values of the specified + columns (keys). + + NOTE: This function is defined at module level to avoid capturing closures and make it serializable.""" + block_accessor = BlockAccessor.for_block(block) + + boundaries = block_accessor._get_group_boundaries_sorted(keys) + + for start, end in zip(boundaries[:-1], boundaries[1:]): + group_block = block_accessor.slice(start, end, copy=False) + group_block_accessor = BlockAccessor.for_block(group_block) + + # Convert corresponding block of each group to batch format here, + # because the block format here can be different from batch format + # (e.g. block is Arrow format, and batch is NumPy format). + yield udf(group_block_accessor.to_batch_format(batch_format), *args, **kwargs) + + # Backwards compatibility alias. GroupedDataset = GroupedData From 24741ba4482ba25896d63be13e32cacb2e3e37ae Mon Sep 17 00:00:00 2001 From: William Yao <143197278+anyadontfly@users.noreply.github.com> Date: Wed, 9 Jul 2025 16:59:24 -0400 Subject: [PATCH 0121/1566] [core][compiled graphs] Supporting allreduce on list of input nodes (#51047) Currently, only one dag node per actor can be bound to allreduce. When the users want to schedule output tensors from several dag nodes into one allreduce call, they would have to collect tensors into a tuple and return the tuple of tensors from a single dag node. For example, ```python @ray.remote class Actor: def comp1(self, _): return torch.ones(1,) def comp2(self, _): return torch.ones(1,) * 2 def get_results(self, *args): return tuple(args) ``` To launch allreduce on the result of comp1 and comp2, users need an additional function `get_results` to gather the result of `comp1` and `comp2`. ```python with InputNode() as inp: res_comp1 = [actor.comp1.bind(inp) for actor in actors] res_comp2 = [actor.comp2.bind(inp) for actor in actors] res_tuple = [actor.get_results.bind(res_comp1[i], res_comp2[i]) for i, actor in enumerate(actors)] res_ar = allreduce.bind(res_tuple) ``` In this PR, users can simply put the result of comp1 and comp2 in a list, and launch allreduce on the list of outputs, which no longer requires the intermediate function `get_results`. ```python with InputNode() as inp: res_comp1 = [actor.comp1.bind(inp) for actor in actors] res_comp2 = [actor.comp2.bind(inp) for actor in actors] res_ar = allreduce.bind([res_comp1, res_comp2]) ``` Meta-issue: #47983 --------- Signed-off-by: Puyuan Yao Signed-off-by: Douglas Strodtman --- python/ray/dag/collective_node.py | 207 +++++++++++++----- python/ray/dag/dag_node_operation.py | 5 +- .../tests/experimental/test_collective_dag.py | 111 +++++++++- .../experimental/test_cpu_communicator_dag.py | 14 +- .../experimental/test_torch_tensor_dag.py | 50 +++++ .../ray/experimental/collective/conftest.py | 9 +- .../ray/experimental/collective/operations.py | 90 ++++++-- 7 files changed, 388 insertions(+), 98 deletions(-) diff --git a/python/ray/dag/collective_node.py b/python/ray/dag/collective_node.py index f24dfced0e69..ad55b8c1a08c 100644 --- a/python/ray/dag/collective_node.py +++ b/python/ray/dag/collective_node.py @@ -8,7 +8,7 @@ DAGNode, ClassMethodNode, ) -from ray.dag.constants import COLLECTIVE_OPERATION_KEY +from ray.dag.constants import COLLECTIVE_OPERATION_KEY, IS_CLASS_METHOD_OUTPUT_KEY from ray.experimental.channel import ChannelContext from ray.experimental.channel.torch_tensor_type import Communicator, TorchTensorType from ray.experimental.util.types import ( @@ -25,7 +25,10 @@ class _CollectiveOperation: Represent metadata for a collective communicator collective operation. Args: - input_nodes: A list of input nodes to the collective operation. + inputs: A list of lists of DAGNode. Each nested list inside + of inputs should contain exactly one object per actor. + If multiple nested lists are provided, then the order of + actors should be the same for each nested list. op: The collective operation to perform. transport: The transport to use for the collective operation. @@ -37,32 +40,102 @@ class _CollectiveOperation: def __init__( self, - input_nodes: List[DAGNode], + inputs: List[List[DAGNode]], op: _CollectiveOp, transport: Optional[Union[str, Communicator]] = None, ): - if len(input_nodes) == 0: - raise ValueError("Expected input nodes for a collective operation") - if len(set(input_nodes)) != len(input_nodes): - raise ValueError("Expected unique input nodes for a collective operation") - self._actor_handles: List["ray.actor.ActorHandle"] = [] - for input_node in input_nodes: - actor_handle = input_node._get_actor_handle() - if actor_handle is None: - raise ValueError("Expected an actor handle from the input node") - self._actor_handles.append(actor_handle) - if len(set(self._actor_handles)) != len(self._actor_handles): - invalid_input_nodes = [ - input_node - for input_node in input_nodes - if self._actor_handles.count(input_node._get_actor_handle()) > 1 - ] - raise ValueError( - "Expected unique actor handles for a collective operation, " - "but found duplicate actor handles from input nodes: " - f"{invalid_input_nodes}" - ) + for i, input_nodes in enumerate(inputs): + # Check non-empty input list + if len(input_nodes) == 0: + nested_list_error_msg = f" at index {i}" if len(inputs) > 1 else "" + raise ValueError( + f"Expected non-empty input list{nested_list_error_msg}." + ) + + # Check input nodes are DAGNode + if not all(isinstance(node, DAGNode) for node in input_nodes): + nested_list_error_msg = ( + f" at list at index {i}" if len(inputs) > 1 else "" + ) + raise ValueError( + f"Expected all input nodes to be DAGNode{nested_list_error_msg}, " + f"but got {input_nodes}." + ) + + # Check unique input nodes + if len(set(input_nodes)) != len(input_nodes): + duplicates = [ + input_node + for input_node in input_nodes + if input_nodes.count(input_node) > 1 + ] + nested_list_error_msg = ( + f" at list at index {i}" if len(inputs) > 1 else "" + ) + raise ValueError( + f"Expected unique input nodes{nested_list_error_msg}, but found duplicates: " + f"{duplicates}" + ) + + current_actor_handles = [] + for input_node in input_nodes: + actor_handle = input_node._get_actor_handle() + if actor_handle is None: + nested_list_error_msg = ( + f" at list at index {i}" if len(inputs) > 1 else "" + ) + raise ValueError( + f"Expected an actor handle from the input node{nested_list_error_msg}" + ) + current_actor_handles.append(actor_handle) + + # Check unique actor handles + if len(set(current_actor_handles)) != len(current_actor_handles): + invalid_input_nodes = [ + input_node + for input_node in input_nodes + if current_actor_handles.count(input_node._get_actor_handle()) > 1 + ] + nested_list_error_msg = ( + f" at list at index {i}" if len(inputs) > 1 else "" + ) + raise ValueError( + f"Expected unique actor handles{nested_list_error_msg}, " + "but found duplicate actor handles from input nodes: " + f"{invalid_input_nodes}" + ) + + if i == 0: + first_actor_handles = current_actor_handles + + # Check all lists of DAGNode have the same number of nodes + if len(inputs[0]) != len(inputs[i]): + raise ValueError( + f"Expected all input lists to have the same number of nodes. " + f"List at index 0 has length {len(inputs[0])}, but list at " + f"index {i} has length {len(inputs[i])}." + ) + + # Check all lists of DAGNode have same set of actor handles + if set(first_actor_handles) != set(current_actor_handles): + raise ValueError( + f"Expected all input lists to have the same set of actor handles. " + f"List at index 0 has actors {set(first_actor_handles)}, but list at " + f"index {i} has actors {set(current_actor_handles)}." + ) + + # Check all lists of DAGNode have same order of actor handles + for j, (first, current) in enumerate( + zip(first_actor_handles, current_actor_handles) + ): + if first != current: + raise ValueError( + f"Expected all input lists to have the same order of actor handles. " + f"List at index 0 has actor {first} at position {j}, but list at " + f"index {i} has actor {current} at position {j}." + ) + self._actor_handles = current_actor_handles self._op = op if transport is None: @@ -100,43 +173,78 @@ def get_communicator(self) -> Communicator: raise ValueError("Expected a communicator group") return communicator - def execute(self, send_buf: "torch.Tensor") -> "torch.Tensor": + def execute( + self, *send_buf: "torch.Tensor" + ) -> Union["torch.Tensor", Tuple["torch.Tensor", ...]]: """ - Call the collective operation on the input tensor. An output tensor is + Call the collective operation on the input tensor(s). Output tensor(s) are allocated and returned. + + Args: + *send_buf: A variable number of torch tensors to send to the collective + operation. The tensors have the same order as the input nodes. + + Returns: + A torch tensor or a tuple of torch tensors containing the results of the + collective operation. The output tensors have the same length and order + as the input node list of the actor of this operation. """ import torch - if not isinstance(send_buf, torch.Tensor): - raise ValueError("Expected a torch tensor") - communicator = self.get_communicator() + if not all(isinstance(t, torch.Tensor) for t in send_buf): + raise ValueError("Expected a torch tensor for each input node") + communicator = self.get_communicator() if isinstance(self._op, AllGatherOp): + assert len(send_buf) == 1 + t = send_buf[0] world_size = len(self._actor_handles) recv_buf = torch.empty( - (send_buf.shape[0] * world_size, *send_buf.shape[1:]), - dtype=send_buf.dtype, - device=send_buf.device, + (t.shape[0] * world_size, *t.shape[1:]), + dtype=t.dtype, + device=t.device, ) - communicator.allgather(send_buf, recv_buf) + communicator.allgather(t, recv_buf) elif isinstance(self._op, AllReduceOp): - recv_buf = torch.empty_like(send_buf) - communicator.allreduce(send_buf, recv_buf, self._op.reduceOp) + if len(send_buf) == 1: + t = send_buf[0] + recv_buf = torch.empty_like(t) + communicator.allreduce(t, recv_buf, self._op.reduceOp) + else: + if not all(t.dtype == send_buf[0].dtype for t in send_buf): + raise ValueError( + "Expected all input tensors to have the same dtype, " + f"but got {[t.dtype for t in send_buf]}" + ) + + def unflatten_from(flat_buf, bufs): + views = [] + offset = 0 + for t in bufs: + numel = t.numel() + t = flat_buf[offset : offset + numel].view(t.shape) + views.append(t) + offset += numel + return tuple(views) + + flat_buf = torch.nn.utils.parameters_to_vector(send_buf) + communicator.allreduce(flat_buf, flat_buf, self._op.reduceOp) + recv_buf = unflatten_from(flat_buf, send_buf) elif isinstance(self._op, ReduceScatterOp): + assert len(send_buf) == 1 + t = send_buf[0] world_size = len(self._actor_handles) - if send_buf.shape[0] % world_size != 0: + if t.shape[0] % world_size != 0: raise ValueError( "Expected the first dimension of the input tensor to be divisible " f"by the world size {world_size}" ) recv_buf = torch.empty( - (send_buf.shape[0] // world_size, *send_buf.shape[1:]), - dtype=send_buf.dtype, - device=send_buf.device, + (t.shape[0] // world_size, *t.shape[1:]), + dtype=t.dtype, + device=t.device, ) - communicator.reducescatter(send_buf, recv_buf, self._op.reduceOp) - else: - raise ValueError("Expected a collective operation") + communicator.reducescatter(t, recv_buf, self._op.reduceOp) return recv_buf @@ -154,19 +262,16 @@ def __init__( method_options: Dict[str, Any], other_args_to_resolve: Dict[str, Any], ): - # Parse the input node. - if not ( - isinstance(method_args, tuple) - and len(method_args) == 1 - and isinstance(method_args[0], DAGNode) - ): - raise ValueError("Expected a single input node") - self._input_node = method_args[0] + # Parse the input node(s). + self._inputs = method_args # Parse the collective operation. self._collective_op: _CollectiveOperation = other_args_to_resolve.get( COLLECTIVE_OPERATION_KEY, None ) - if self._collective_op is None: + self._is_class_method_output: bool = other_args_to_resolve.get( + IS_CLASS_METHOD_OUTPUT_KEY, False + ) + if self._collective_op is None and not self._is_class_method_output: raise ValueError("Expected a collective operation") super().__init__( diff --git a/python/ray/dag/dag_node_operation.py b/python/ray/dag/dag_node_operation.py index 4da61e0bf064..52072eec12e9 100644 --- a/python/ray/dag/dag_node_operation.py +++ b/python/ray/dag/dag_node_operation.py @@ -526,7 +526,10 @@ def _build_dag_node_operation_graph( _CollectiveOperation, Set[Tuple[int, _DAGNodeOperationType]] ] = defaultdict(set) for task_idx, task in idx_to_task.items(): - if isinstance(task.dag_node, CollectiveOutputNode): + if ( + isinstance(task.dag_node, CollectiveOutputNode) + and not task.dag_node.is_class_method_output + ): collective_op_to_idxs[task.dag_node.collective_op].add( (task_idx, _DAGNodeOperationType.COMPUTE) ) diff --git a/python/ray/dag/tests/experimental/test_collective_dag.py b/python/ray/dag/tests/experimental/test_collective_dag.py index 02230bf8d877..cc14a3b36dfb 100644 --- a/python/ray/dag/tests/experimental/test_collective_dag.py +++ b/python/ray/dag/tests/experimental/test_collective_dag.py @@ -109,16 +109,7 @@ def test_all_reduce_duplicate_actors(ray_start_regular): computes = [worker.return_tensor.bind(inp) for _ in range(2)] with pytest.raises( ValueError, - match="Expected unique actor handles for a collective operation", - ): - collective.allreduce.bind(computes) - - with InputNode() as inp: - compute = worker.return_tensor.bind(inp) - computes = [compute for _ in range(2)] - with pytest.raises( - ValueError, - match="Expected unique input nodes for a collective operation", + match="Expected unique actor handles, but found duplicate actor handles from input nodes", ): collective.allreduce.bind(computes) @@ -144,6 +135,106 @@ def test_all_reduce_custom_comm_wrong_actors(ray_start_regular): collective.allreduce.bind(computes, transport=nccl_group) +@pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) +def test_all_reduce_bind_list_of_nodes_duplicate_nodes(ray_start_regular): + """ + Test an error is thrown when an all-reduce binds to lists of nodes + that are duplicated. + """ + actor_cls = CPUTorchTensorWorker.options() + + num_workers = 2 + workers = [actor_cls.remote() for _ in range(num_workers)] + + nccl_group = AbstractNcclGroup([workers[0]]) + with InputNode() as inp: + computes_0 = [worker.return_tensor.bind(inp) for worker in workers] + computes_1 = [workers[0].return_tensor.bind(inp) for _ in range(2)] + with pytest.raises( + ValueError, + match="Expected unique actor handles at list at index", + ): + collective.allreduce.bind([computes_0, computes_1], transport=nccl_group) + + +@pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) +def test_all_reduce_bind_list_of_nodes_unequal_number_of_nodes(ray_start_regular): + """ + Test an error is thrown when an all-reduce binds to lists of nodes + of different number of nodes across actors. + """ + actor_cls = CPUTorchTensorWorker.options() + + num_workers = 2 + workers = [actor_cls.remote() for _ in range(num_workers)] + + nccl_group = AbstractNcclGroup([workers[0]]) + with InputNode() as inp: + computes_0 = [worker.return_tensor.bind(inp) for worker in workers] + computes_1 = [worker.return_tensor.bind(inp) for worker in workers[1:]] + with pytest.raises( + ValueError, + match="Expected all input lists to have the same number of nodes", + ): + collective.allreduce.bind([computes_0, computes_1], transport=nccl_group) + + +@pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) +def test_all_reduce_bind_list_of_nodes_different_actors(ray_start_regular): + """ + Test an error is thrown when an all-reduce binds to a list of nodes + from different set of actors. + """ + actor_cls = CPUTorchTensorWorker.options() + + num_workers = 3 + workers = [actor_cls.remote() for _ in range(num_workers)] + + nccl_group = AbstractNcclGroup([workers[0]]) + with InputNode() as inp: + computes_0 = [worker.return_tensor.bind(inp) for worker in workers[:2]] + computes_1 = [worker.return_tensor.bind(inp) for worker in workers[1:]] + with pytest.raises( + ValueError, + match="Expected all input lists to have the same set of actor handles", + ): + collective.allreduce.bind([computes_0, computes_1], transport=nccl_group) + + +@pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) +def test_all_reduce_bind_list_of_nodes_different_dtypes(ray_start_regular): + """ + Test an error is thrown when an all-reduce binds to a list of nodes + that execute with tensors of different dtypes. + """ + actor_cls = CPUTorchTensorWorker.options() + + num_workers = 3 + workers = [actor_cls.remote() for _ in range(num_workers)] + + comm = MockCommunicator(num_workers, workers) + with InputNode() as inp: + computes_0 = [worker.return_tensor.bind(inp[0], inp[1]) for worker in workers] + computes_1 = [worker.return_tensor.bind(inp[0], inp[2]) for worker in workers] + collectives = collective.allreduce.bind( + [computes_0, computes_1], transport=comm + ) + recvs = [ + worker.recv_tensors.bind(*collective) + for worker, collective in zip(workers, collectives) + ] + dag = MultiOutputNode(recvs) + + compiled_dag = dag.experimental_compile() + with pytest.raises( + ValueError, + match="Expected all input tensors to have the same dtype", + ): + import torch + + ray.get(compiled_dag.execute(1, torch.float16, torch.float32)) + + @pytest.mark.parametrize( "ray_start_regular", [{"num_cpus": 4, "num_gpus": 4}], indirect=True ) diff --git a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py index 115e067146b6..0ec0a2ebd9e3 100644 --- a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py +++ b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py @@ -317,16 +317,10 @@ def test_allreduce_duplicate_actors(ray_start_cluster): computes = [worker.return_tensor.bind(inp) for _ in range(2)] with pytest.raises( ValueError, - match="Expected unique actor handles for a collective operation", - ): - collective.allreduce.bind(computes, transport=cpu_group) - - with InputNode() as inp: - compute = worker.return_tensor.bind(inp) - computes = [compute for _ in range(2)] - with pytest.raises( - ValueError, - match="Expected unique input nodes for a collective operation", + match=( + "Expected unique actor handles, but found duplicate actor handles " + "from input nodes" + ), ): collective.allreduce.bind(computes, transport=cpu_group) diff --git a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py index 57653855cdbe..24c4d2524ff8 100644 --- a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py +++ b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py @@ -114,6 +114,9 @@ def compute_with_tuple_args(self, args, i: int): def recv_tensor(self, tensor): return tensor + def recv_tensors(self, *tensors): + return tuple(tensors) + def ping(self): return @@ -1447,6 +1450,53 @@ def test_torch_tensor_nccl_collective_ops(ray_start_regular, operation, reduce_o assert torch.equal(result_tensor.to("cpu"), expected_tensor) +@pytest.mark.skipif(not USE_GPU, reason="Skipping GPU Test") +@pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) +def test_torch_tensor_nccl_all_reduce_bind_list_of_nodes(ray_start_regular): + """ + Test basic all-reduce with list of nodes. + """ + assert ( + sum(node["Resources"].get("GPU", 0) for node in ray.nodes()) > 1 + ), "This test requires at least 2 GPUs" + + actor_cls = TorchTensorWorker.options(num_cpus=0, num_gpus=1) + + num_workers = 2 + workers = [actor_cls.remote() for _ in range(num_workers)] + + with InputNode() as inp: + computes_0 = [worker.send_tensor.bind(inp[0]) for worker in workers] + computes_1 = [worker.send_tensor.bind(inp[1]) for worker in workers] + collectives = collective.allreduce.bind([computes_0, computes_1], ReduceOp.SUM) + recvs = [ + worker.recv_tensors.bind(*collective) + for worker, collective in zip(workers, collectives) + ] + dag = MultiOutputNode(recvs) + + compiled_dag = dag.experimental_compile() + + for i in range(3): + i += 1 + shape = (i * 10,) + dtype = torch.float16 + t1 = torch.ones(shape, dtype=dtype, device="cuda") * i + t2 = torch.ones(shape, dtype=dtype, device="cuda") * i * 2 + ref = compiled_dag.execute(t1, t2) + result = ray.get(ref) + assert len(result[0]) == len(result[1]) == 2 + + result_tensors_0 = [t.to("cpu") for t in result[0]] + result_tensors_1 = [t.to("cpu") for t in result[1]] + assert all( + torch.equal(result_tensors_0[i], result_tensors_1[i]) + for i in range(len(result_tensors_0)) + ) + assert result_tensors_0[0][0].item() == result_tensors_1[0][0].item() == i * 2 + assert result_tensors_0[1][0].item() == result_tensors_1[1][0].item() == i * 4 + + @pytest.mark.skipif(not USE_GPU, reason="Skipping GPU Test") @pytest.mark.parametrize("ray_start_regular", [{"num_cpus": 4}], indirect=True) def test_torch_tensor_nccl_all_reduce_get_partial(ray_start_regular): diff --git a/python/ray/experimental/collective/conftest.py b/python/ray/experimental/collective/conftest.py index 94da1141c18d..4544931a9fd0 100644 --- a/python/ray/experimental/collective/conftest.py +++ b/python/ray/experimental/collective/conftest.py @@ -168,13 +168,18 @@ class CPUTorchTensorWorker: def __init__(self): self.device = "cpu" - def return_tensor(self, size: int) -> torch.Tensor: - return torch.ones(size, device=self.device) + def return_tensor( + self, size: int, dtype: Optional[torch.dtype] = None + ) -> torch.Tensor: + return torch.ones(size, dtype=dtype, device=self.device) def recv(self, tensor: torch.Tensor) -> Tuple[int, int]: assert tensor.device == self.device return tensor.shape, tensor[0] + def recv_tensors(self, *tensors) -> Tuple[torch.Tensor, ...]: + return tuple(tensors) + def mock_do_init_nccl_group( self, diff --git a/python/ray/experimental/collective/operations.py b/python/ray/experimental/collective/operations.py index db3086250548..31edbcb9eb28 100644 --- a/python/ray/experimental/collective/operations.py +++ b/python/ray/experimental/collective/operations.py @@ -7,6 +7,7 @@ BIND_INDEX_KEY, COLLECTIVE_OPERATION_KEY, PARENT_CLASS_NODE_KEY, + IS_CLASS_METHOD_OUTPUT_KEY, ) from ray.experimental.channel.torch_tensor_type import Communicator, TorchTensorType from ray.experimental.util.types import ( @@ -22,56 +23,79 @@ def _bind( - input_nodes: List["ray.dag.DAGNode"], + inputs: Union[List["ray.dag.DAGNode"], List[List["ray.dag.DAGNode"]]], op: _CollectiveOp, transport: Optional[Union[str, Communicator]] = None, ): """ - Bind input nodes with a collective operation. The collective operation is - directly applied to the torch tensors from the input nodes. The output nodes - are the results of the collective operation in the same torch tensors. + Bind inputs (input nodes or lists of input nodes) with a collective operation. + The collective operation is applied to each list of input nodes. The output nodes + will have the same shape as the input nodes. + + Example of binding a list of input node: + with InputNode() as inp: + res_comp1 = [actor.comp1.bind(inp) for actor in actors] + res_comp2 = [actor.comp2.bind(inp) for actor in actors] + res_ar = allreduce.bind([res_comp1, res_comp2]) Requirements: 1. Each input node returns a torch tensor. - 2. Each input node is from a different actor. - 3. If a custom transport is specified, its actor set matches the actor set - of the input nodes. - 4. All tensors have the same shape. + 2. Each input node within a list is from a different actor. + 3. If lists of input nodes are provided, the order of actors should + be the same for each nested list. + 4. If a custom transport is specified, its actor set matches the actor + set of the input nodes. + 5. If input nodes are provided, then all tensors have the same shape. + If lists of input nodes are provided, then all tensors in each + list have the same shape. Requirements 1-3 are checked in the `CollectiveGroup` constructor. Requirement 4 is not checked yet. Args: - input_nodes: A list of DAG nodes. + inputs: A list of DAG nodes or a list of lists of DAG nodes. Each leaf list + should contain one object per actor. op: The collective operation. transport: GPU communicator for the collective operation. If not - specified, the default NCCL is used. + specified, the default ACCELERATOR is used. Returns: - A list of collective output nodes. + A list of collective output nodes or a list of lists of collective output nodes, + with the same shape as the input nodes. Each output node has the same order and + belongs to the same actor as the corresponding input node. """ + if isinstance(inputs[0], list) and not isinstance(op, AllReduceOp): + raise ValueError( + "Currently binding a nested list of dag nodes is only supported for allreduce" + ) + + # Convert list of DAGNode into nested list for type checking + if not isinstance(inputs[0], list): + inputs = [inputs] + if transport is None: transport = TorchTensorType.ACCELERATOR - collective_op = _CollectiveOperation(input_nodes, op, transport) + collective_op = _CollectiveOperation(inputs, op, transport) collective_output_nodes: List[CollectiveOutputNode] = [] - actor_handle: Optional["ray.actor.ActorHandle"] = input_nodes[0]._get_actor_handle() - if actor_handle is None: - raise ValueError("Expected an actor handle from the input node") - if isinstance(op, AllReduceOp): + if isinstance(op, AllGatherOp): + method_name = "allgather" + elif isinstance(op, AllReduceOp): method_name = f"allreduce.{op.reduceOp}" elif isinstance(op, ReduceScatterOp): method_name = f"reducescatter.{op.reduceOp}" - elif isinstance(op, AllGatherOp): - method_name = "allgather" else: - raise ValueError(f"Expected a collective operation, but found {op}") - - for input_node in input_nodes: - actor_handle: Optional["ray.actor.ActorHandle"] = input_node._get_actor_handle() + raise ValueError(f"Expected a collective operation, but got {op}") + + for i in range(len(inputs[0])): + input_node_list = [l[i] for l in inputs if l] + actor_handle: Optional["ray.actor.ActorHandle"] = input_node_list[ + 0 + ]._get_actor_handle() + assert actor_handle is not None collective_output_node = CollectiveOutputNode( method_name=method_name, - method_args=(input_node,), + method_args=tuple(input_node_list), method_kwargs=dict(), method_options=dict(), other_args_to_resolve={ @@ -81,7 +105,25 @@ def _bind( }, ) actor_handle._ray_dag_bind_index += 1 - collective_output_nodes.append(collective_output_node) + + if len(input_node_list) > 1: + output_nodes: List[CollectiveOutputNode] = [] + for i in range(len(input_node_list)): + output_node = CollectiveOutputNode( + f"return_idx_{i}", + (collective_output_node, i), + dict(), + dict(), + { + BIND_INDEX_KEY: collective_output_node._get_bind_index(), + IS_CLASS_METHOD_OUTPUT_KEY: True, + PARENT_CLASS_NODE_KEY: actor_handle, + }, + ) + output_nodes.append(output_node) + collective_output_nodes.append(output_nodes) + else: + collective_output_nodes.append(collective_output_node) return collective_output_nodes From fd8f8b5d643546fc7565bdd80230631a47294615 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 9 Jul 2025 14:39:49 -0700 Subject: [PATCH 0122/1566] Add __init__.py for prefix tree directories (#54480) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/serve/request_router/__init__.py | 0 .../llm/_internal/serve/request_router/prefix_aware/__init__.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 python/ray/llm/_internal/serve/request_router/__init__.py create mode 100644 python/ray/llm/_internal/serve/request_router/prefix_aware/__init__.py diff --git a/python/ray/llm/_internal/serve/request_router/__init__.py b/python/ray/llm/_internal/serve/request_router/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/python/ray/llm/_internal/serve/request_router/prefix_aware/__init__.py b/python/ray/llm/_internal/serve/request_router/prefix_aware/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 From c4b92a66e74914ea42de68b51209c529da465443 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 9 Jul 2025 15:40:03 -0700 Subject: [PATCH 0123/1566] [wheel] only call bazel once when building the wheel (#54476) do not try multiple bazel candidates blindly. instead, check if the bazel binary exists first. also prefers bazelisk over bazel during the binary search Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/setup.py | 46 +++++++++++++++++++++++++++++----------------- 1 file changed, 29 insertions(+), 17 deletions(-) diff --git a/python/setup.py b/python/setup.py index 4ca0321e859a..661aa3921780 100644 --- a/python/setup.py +++ b/python/setup.py @@ -404,25 +404,31 @@ def is_invalid_windows_platform(): return platform == "msys" or (platform == "win32" and ver and "GCC" in ver) -# Calls Bazel in PATH, falling back to the standard user installation path -# (~/bin/bazel) if it isn't found. -def _bazel_invoke(cmdline, *args, **kwargs): - home = os.path.expanduser("~") - first_candidate = os.getenv("BAZEL_PATH", "bazel") - candidates = [first_candidate] +def _find_bazel_bin(): + candidates = [] + + # User specified bazel location. + bazel_path = os.getenv("BAZEL_PATH") + if bazel_path: + candidates.append(bazel_path) + + # Default bazel locations; prefers bazelisk. + candidates.extend(["bazelisk", "bazel"]) + if sys.platform == "win32": mingw_dir = os.getenv("MINGW_DIR") if mingw_dir: - candidates.append(mingw_dir + "/bin/bazel.exe") + candidates.append(os.path.join(mingw_dir, "bin", "bazel.exe")) else: - candidates.append(os.path.join(home, "bin", "bazel")) - for i, cmd in enumerate(candidates): - try: - subprocess.check_call([cmd] + cmdline, *args, **kwargs) - break - except IOError: - if i >= len(candidates) - 1: - raise + home_dir = os.path.expanduser("~") + candidates.append(os.path.join(home_dir, "bin", "bazel")) + + for bazel in candidates: + bazel_bin = shutil.which(bazel) + if bazel_bin: + return bazel_bin + + raise RuntimeError("Cannot find bazel in PATH") def patch_isdir(): @@ -639,8 +645,14 @@ def build(build_python, build_java, build_cpp): if setup_spec.build_type == BuildType.TSAN: bazel_flags.append("--config=tsan") - _bazel_invoke( - bazel_precmd_flags + ["build"] + bazel_flags + ["--"] + bazel_targets, + bazel_bin = _find_bazel_bin() + subprocess.check_call( + [bazel_bin] + + bazel_precmd_flags + + ["build"] + + bazel_flags + + ["--"] + + bazel_targets, env=bazel_env, ) From 0126368583ac52915754bfe2c3cbf494fe8bd317 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Wed, 9 Jul 2025 15:50:32 -0700 Subject: [PATCH 0124/1566] [core] fix get_max_resources_from_cluster_config (#54455) ## Why are these changes needed? `get_max_resources_from_cluster_config` is only returning `CPU`, `GPU`, and `TPU`. But users might need to check other available resources, like `memory`. --------- Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- python/ray/_private/state.py | 63 ++++++--- python/ray/tests/test_global_state.py | 196 ++++++++++++++++++++++++-- 2 files changed, 232 insertions(+), 27 deletions(-) diff --git a/python/ray/_private/state.py b/python/ray/_private/state.py index a3b1de87e2de..4ded93b92ba4 100644 --- a/python/ray/_private/state.py +++ b/python/ray/_private/state.py @@ -848,30 +848,57 @@ def get_cluster_config(self) -> autoscaler_pb2.ClusterConfig: return autoscaler_pb2.ClusterConfig.FromString(serialized_cluster_config) return None - def get_max_resources_from_cluster_config(self) -> Optional[int]: + @staticmethod + def _calculate_max_resource_from_cluster_config( + cluster_config: Optional[autoscaler_pb2.ClusterConfig], key: str + ) -> Optional[int]: + """Calculate the maximum available resources for a given resource type from cluster config. + If the resource type is not available, return None. + """ + if cluster_config is None: + return None + + max_value = 0 + for node_group_config in cluster_config.node_group_configs: + num_resources = node_group_config.resources.get(key, default=0) + num_nodes = node_group_config.max_count + if num_nodes == 0 or num_resources == 0: + continue + if num_nodes == -1 or num_resources == -1: + return sys.maxsize + max_value += num_nodes * num_resources + if max_value == 0: + return None + max_value_limit = cluster_config.max_resources.get(key, default=sys.maxsize) + return min(max_value, max_value_limit) + + def get_max_resources_from_cluster_config(self) -> Optional[Dict[str, int]]: + """Get the maximum available resources for all resource types from cluster config. + + Returns: + A dictionary mapping resource name to the maximum quantity of that + resource that could be available in the cluster based on the cluster config. + Returns None if the config is not available. + Values in the dictionary default to 0 if there is no such resource. + """ + all_resource_keys = set() + config = self.get_cluster_config() if config is None: return None - def calculate_max_resource_from_cluster_config(key: str) -> Optional[int]: - max_value = 0 + if config.node_group_configs: for node_group_config in config.node_group_configs: - num_cpus = node_group_config.resources.get(key, default=0) - num_nodes = node_group_config.max_count - if num_nodes == 0 or num_cpus == 0: - continue - if num_nodes == -1 or num_cpus == -1: - return sys.maxsize - max_value += num_nodes * num_cpus - if max_value == 0: - return None - max_value_limit = config.max_resources.get(key, default=sys.maxsize) - return min(max_value, max_value_limit) + all_resource_keys.update(node_group_config.resources.keys()) + if len(all_resource_keys) == 0: + return None - return { - key: calculate_max_resource_from_cluster_config(key) - for key in ["CPU", "GPU", "TPU"] - } + result = {} + for key in all_resource_keys: + max_value = self._calculate_max_resource_from_cluster_config(config, key) + result[key] = max_value if max_value is not None else 0 + + return result state = GlobalState() diff --git a/python/ray/tests/test_global_state.py b/python/ray/tests/test_global_state.py index 97a98dcbed59..d786877fb2e4 100644 --- a/python/ray/tests/test_global_state.py +++ b/python/ray/tests/test_global_state.py @@ -1,7 +1,7 @@ import os import sys import time -from typing import Optional +from typing import Optional, Dict import pytest @@ -525,24 +525,24 @@ def test_get_cluster_config(shutdown_only): "description, cluster_config, num_cpu", [ ( - "should return None since empty config is provided", + "should return 0 since empty config is provided", autoscaler_pb2.ClusterConfig(), - None, + 0, ), ( - "should return None since no node_group_config is provided", + "should return 0 since no node_group_config is provided", autoscaler_pb2.ClusterConfig( max_resources={"CPU": 100}, ), - None, + 0, ), ( - "should return None since no CPU is provided under node_group_configs", + "should return 0 since no CPU is provided under node_group_configs", autoscaler_pb2.ClusterConfig( max_resources={"CPU": 100}, node_group_configs=[autoscaler_pb2.NodeGroupConfig(name="m5.large")], ), - None, + 0, ), ( "should return None since 0 instance is provided under node_group_configs", @@ -556,7 +556,7 @@ def test_get_cluster_config(shutdown_only): ) ], ), - None, + 0, ), ( "should return max since max_count=-1 under node_group_configs", @@ -644,7 +644,185 @@ def test_get_max_cpus_from_cluster_config( gcs_client.report_cluster_config(cluster_config.SerializeToString()) max_resources = ray._private.state.state.get_max_resources_from_cluster_config() - assert (max_resources and max_resources["CPU"]) == num_cpu, description + num_cpu_from_max_resources = max_resources.get("CPU", 0) if max_resources else 0 + assert num_cpu_from_max_resources == num_cpu, description + + +@pytest.mark.parametrize( + "description, cluster_config, expected_resources", + [ + ( + "should return CPU/GPU/TPU as None since empty config is provided", + autoscaler_pb2.ClusterConfig(), + None, + ), + ( + "should return CPU/GPU/TPU as None since no node_group_config is provided", + autoscaler_pb2.ClusterConfig( + max_resources={"CPU": 100, "memory": 1000}, + ), + None, + ), + ( + "should return CPU/GPU/TPU plus resources from node_group_configs", + autoscaler_pb2.ClusterConfig( + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "memory": 500}, + max_count=1, + ) + ], + ), + {"CPU": 50, "memory": 500}, + ), + ( + "should return resources from both node_group_configs and max_resources", + autoscaler_pb2.ClusterConfig( + max_resources={"GPU": 8}, + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "memory": 500}, + max_count=1, + ) + ], + ), + { + "CPU": 50, + "memory": 500, + }, # GPU and TPU are None because not in node_group_configs + ), + ( + "should return limited by max_resources when node_group total exceeds it", + autoscaler_pb2.ClusterConfig( + max_resources={"CPU": 30, "memory": 200}, + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "memory": 500}, + max_count=1, + ) + ], + ), + {"CPU": 30, "memory": 200}, + ), + ( + "should return sys.maxsize when max_count=-1", + autoscaler_pb2.ClusterConfig( + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "custom_resource": 10}, + max_count=-1, + ) + ], + ), + { + "CPU": sys.maxsize, + "custom_resource": sys.maxsize, + }, + ), + ( + "should sum across multiple node_group_configs", + autoscaler_pb2.ClusterConfig( + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "memory": 500}, + max_count=1, + ), + autoscaler_pb2.NodeGroupConfig( + name="m5.small", + resources={"CPU": 10, "GPU": 1}, + max_count=4, + ), + ], + ), + { + "CPU": 90, + "GPU": 4, + "memory": 500, + }, # 50 + (10*4), 500 + 0 + ), + ( + "should return 0 for resources with 0 count or 0 resources", + autoscaler_pb2.ClusterConfig( + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="m5.large", + resources={"CPU": 50, "memory": 0}, + max_count=0, # This makes all resources None + ), + autoscaler_pb2.NodeGroupConfig( + name="m5.small", + resources={"GPU": 1}, + max_count=2, + ), + ], + ), + { + "CPU": 0, + "GPU": 2, + "memory": 0, + }, # CPU is None due to max_count=0, GPU has valid count + ), + ( + "should discover all resource types including custom ones", + autoscaler_pb2.ClusterConfig( + max_resources={"TPU": 16, "special_resource": 100}, + node_group_configs=[ + autoscaler_pb2.NodeGroupConfig( + name="gpu-node", + resources={ + "CPU": 32, + "GPU": 8, + "memory": 1000, + "custom_accelerator": 4, + }, + max_count=2, + ), + autoscaler_pb2.NodeGroupConfig( + name="cpu-node", + resources={"CPU": 96, "memory": 2000, "disk": 500}, + max_count=1, + ), + ], + ), + { + "CPU": 160, # (32*2) + (96*1) + "GPU": 16, # (8*2) + 0 + "memory": 4000, # (1000*2) + (2000*1) + "custom_accelerator": 8, # (4*2) + 0 + "disk": 500, # 0 + (500*1) + }, + ), + ], +) +def test_get_max_resources_from_cluster_config( + shutdown_only, + description: str, + cluster_config: autoscaler_pb2.ClusterConfig, + expected_resources: Dict[str, Optional[int]], +): + """Test get_max_resources_from_cluster_config method. + + This test verifies that the method correctly: + 1. Always includes CPU/GPU/TPU in the results + 2. Discovers additional resource types from node_group_configs and max_resources + 3. Calculates maximum values for each resource type + 4. Handles edge cases like empty configs, zero counts, unlimited resources + 5. Supports resource types beyond CPU/GPU/TPU + """ + ray.init(num_cpus=1) + gcs_client = GcsClient(address=ray.get_runtime_context().gcs_address) + + gcs_client.report_cluster_config(cluster_config.SerializeToString()) + max_resources = ray._private.state.state.get_max_resources_from_cluster_config() + + assert ( + max_resources == expected_resources + ), f"{description}\nExpected: {expected_resources}\nActual: {max_resources}" def test_get_draining_nodes(ray_start_cluster): From 488a3773ba8e542eabfba583fd6cea046d4f1442 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Wed, 9 Jul 2025 17:07:07 -0700 Subject: [PATCH 0125/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (1/N): Remove random v0 logic (#54440) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/vllm/vllm_engine.py | 284 +++++------------- .../deployments/llm/vllm/test_vllm_engine.py | 14 +- .../model_config/llama_3dot1_8b_lora.yaml | 1 + .../llama_3dot1_8b_quantized_tp1.yaml | 5 - ...rve_llama_3dot1_8b_quantized_tp1_2p6d.yaml | 6 - release/llm_tests/serve/probes/models.py | 10 +- release/llm_tests/serve/probes/test_basic.py | 10 +- .../serve/run_llm_serve_test_and_bms.py | 12 +- release/release_tests.yaml | 6 +- 9 files changed, 101 insertions(+), 247 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 9212902e4b30..dd423880a4f1 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -139,46 +139,6 @@ def _clear_current_platform_cache(): current_platform.get_device_capability.cache_clear() -class _EngineBackgroundProcess: - def __init__(self, ipc_path, engine_args, engine_config): - from vllm.engine.multiprocessing.engine import MQLLMEngine - from vllm.plugins import load_general_plugins - from vllm.usage.usage_lib import UsageContext - - # Adapted from vllm.engine.multiprocessing.engine.MQLLMEngine.from_engine_args - load_general_plugins() - - # Note (genesu): There is a bug in vllm 0.7.2 forced the use of uni processing - # executor when world_size is 1. This is a bug in vllm 0.7.2 and - # is fixed by https://github.com/vllm-project/vllm/pull/12934 which is shipped - # with vllm 0.7.3. However, in Ray's llm package, we will enforce the use of - # ray distributed executor for all cases so it's always compatible with Ray. - from vllm.executor.ray_distributed_executor import RayDistributedExecutor - - # Clear the cache of the current platform. - _clear_current_platform_cache() - - self.engine = MQLLMEngine( - ipc_path=ipc_path, - use_async_sockets=engine_config.model_config.use_async_output_proc, - vllm_config=engine_config, - executor_class=RayDistributedExecutor, - log_requests=not engine_args.disable_log_requests, - log_stats=not engine_args.disable_log_stats, - usage_context=UsageContext.API_SERVER, - ) - self._error = None - - def start(self): - try: - self.engine.start() - except Exception as e: - self._error = e - - def get_error(self): - return self._error - - class VLLMEngine(LLMEngine): def __init__( self, @@ -197,11 +157,15 @@ def __init__( ) from vllm import envs as vllm_envs, utils as vllm_utils + if not vllm_envs.VLLM_USE_V1: + logger.warning( + "vLLM v0 is getting fully deprecated. As a result in Ray Serve LLM only v1 is supported. Only when you know what you are doing, you can set VLLM_USE_V1=0" + ) + + # TODO (Kourosh): This validation logic belongs to the PDProxy module. # Pick a random port in P/D case. kv_transfer_config = llm_config.engine_kwargs.get("kv_transfer_config", None) if kv_transfer_config is not None: - if not vllm_envs.VLLM_USE_V1: - logger.warning("Ray Serve LLM only supports P/D with v1 vLLM engine.") connector_type = getattr(kv_transfer_config, "kv_connector", "") if connector_type != "NixlConnector": raise ValueError("Only NixlConnector is supported for kv transfer.") @@ -231,12 +195,11 @@ def __init__( llm_config, LLMConfig ), f"Got invalid config {llm_config} of type {type(llm_config)}" self.llm_config = llm_config - self.engine_config = VLLMEngineConfig.from_llm_config(llm_config) self._stats = VLLMEngineStatTracker() self.running = False self.model_config: "ModelConfig" = None - self.engine = None + self._engine_client = None self.vllm_config: "VllmConfig" = None # Chat template content format (openai or string) @@ -265,7 +228,7 @@ def _tokenize( encoded = self._tokenizer(prompt_text, add_special_tokens=add_special_tokens) return encoded.input_ids - async def start(self): + async def start(self) -> None: """Start the vLLM engine. If the engine is already running, do nothing. @@ -279,11 +242,11 @@ async def start(self): logger.info("Skipping engine restart because the engine is already running") return - self.engine = await self._start_engine() + self._engine_client = await self._start_engine() self.running = True - self.model_config = await self.engine.get_model_config() + self.model_config = await self._engine_client.get_model_config() - self._tokenizer = await self.engine.get_tokenizer() + self._tokenizer = await self._engine_client.get_tokenizer() def resolve_chat_template_content_format(model_config, **kwargs): try: @@ -312,48 +275,32 @@ def resolve_chat_template_content_format(model_config, **kwargs): logger.info("Started vLLM engine.") async def _start_engine(self) -> "EngineClient": - from vllm import envs as vllm_envs - - # Since vLLM 0.8.0, the logic to determine v0/v1 engine is as follows: - # 1. If VLLM_USE_V1 is not set, then it tries to use v1 engine. However, - # if any feature specified in the engine config is not supported, then - # it falls back to v0. Note that launching vLLM on a non-main thread - # is an experimental feature, so vLLM will fall back to v0 in this case. - # 2. If VLLM_USE_V1 is set to 1, then it will use v1 engine even with - # experimental features (such as launching vLLM on a non-main thread). - # 3. If VLLM_USE_V1 is set to 0, force using v0 engine. - # In Ray Serve LLM, we forbid case 1 because we have to know exactly which engine is used. - if not vllm_envs.is_set("VLLM_USE_V1"): - logger.warning( - "VLLM_USE_V1 environment variable is not set, using vLLM v0 as default. " - "Later we may switch default to use v1 once vLLM v1 is mature." - ) - vllm_envs.set_vllm_use_v1(False) - - if not vllm_envs.VLLM_USE_V1: - if self.llm_config.log_engine_metrics: - raise ValueError("V1 vLLM Engine is required to log engine metrics") + # Initialize node and return all configurations + node_initialization = await self.initialize_node(self.llm_config) - return await self._start_engine_v0() + vllm_engine_args, vllm_engine_config = await self._prepare_engine_config( + node_initialization + ) - return await self._start_engine_v1() + return self._start_async_llm_engine( + vllm_engine_args, + vllm_engine_config, + node_initialization.placement_group, + ) - async def _prepare_engine_config(self, use_v1: bool): - """ - Prepare the engine config to start the engine. + async def _prepare_engine_config(self, node_initialization: InitializeNodeOutput): + """Prepare the engine config to start the engine. Args: - use_v1: Whether to use vLLM V1 engine. + node_initialization: The node initialization. Returns: - engine_args: The engine arguments. - engine_config: The engine configuration. - node_initialization: The node initialization. + engine_args: The vLLM's internal engine arguments that is flattened. + engine_config: The vLLM's internal engine config that is nested. """ - # Initialize node and return all configurations - node_initialization = await self.initialize_node(self.llm_config) + engine_config: VLLMEngineConfig = self.llm_config.get_engine_config() - if self.engine_config.use_gpu: + if engine_config.use_gpu: # Create engine config on a task with access to GPU, # as GPU capability may be queried. ref = ( @@ -370,137 +317,58 @@ async def _prepare_engine_config(self, use_v1: bool): ) .remote(self.llm_config) ) - engine_args, engine_config = ray.get(ref) + vllm_engine_args, vllm_engine_config = ray.get(ref) else: - engine_args, engine_config = _get_vllm_engine_config(self.llm_config) + vllm_engine_args, vllm_engine_config = _get_vllm_engine_config( + self.llm_config + ) # Note (genesu): vllm_config is used to extract the scheduler config for # computing the correct prompt limit. - self.vllm_config = engine_config - return engine_args, engine_config, node_initialization - - async def _start_engine_v1(self) -> "EngineClient": - """Start the vLLM v1 engine. Note that we only use _get_async_engine_args - to get the engine args and don't use _get_vllm_engine_config, because - we integrate vLLM v1 using the highest-level async engine API. - TODO: Refactor vLLM v0 integration to use the same async engine API - to simplify the code. - """ - ( - engine_args, - engine_config, - node_initialization, - ) = await self._prepare_engine_config(use_v1=True) - - return self._start_async_llm_engine( - engine_args, - engine_config, - node_initialization.placement_group, - use_v1=True, - ) + self.vllm_config = vllm_engine_config + return vllm_engine_args, vllm_engine_config - async def _start_engine_v0(self) -> "EngineClient": - from vllm.engine.multiprocessing.client import MQLLMEngineClient - - ( - engine_args, - engine_config, - node_initialization, - ) = await self._prepare_engine_config(use_v1=False) - - if MQLLMEngineClient.is_unsupported_config(engine_config): - # If the engine is not supported, we fall back to the legacy async engine. - # - # Note (genesu): as of 2025-02-11, this code path is only triggered when - # pipeline parallelism is > 1. And this is due to the vllm mq engine have - # not implemented the pipeline parallelism yet. - return self._start_async_llm_engine( - engine_args, - engine_config, - node_initialization.placement_group, - use_v1=False, - ) - - return await self._start_mq_engine( - engine_args, engine_config, node_initialization.placement_group - ) - - async def _start_mq_engine( + def _start_async_llm_engine_v0( self, - engine_args: "AsyncEngineArgs", - engine_config: "VllmConfig", + vllm_engine_args: "AsyncEngineArgs", + vllm_engine_config: "VllmConfig", placement_group: PlacementGroup, ) -> "EngineClient": - from vllm.engine.multiprocessing.client import MQLLMEngineClient - from vllm.utils import get_open_zmq_ipc_path - - ipc_path = get_open_zmq_ipc_path() - - BackgroundCls = ray.remote( - num_cpus=0, - scheduling_strategy=PlacementGroupSchedulingStrategy( - placement_group=placement_group, - placement_group_capture_child_tasks=True, - ), - runtime_env=dict( - env_vars=dict( - VLLM_USE_V1="0", - ), - ), - )(_EngineBackgroundProcess) - # Run the process in the background - process_ref = BackgroundCls.remote(ipc_path, engine_args, engine_config) - process_ref.start.remote() - engine_client = MQLLMEngineClient( - ipc_path=ipc_path, - engine_config=engine_config, - engine_pid=os.getpid(), - ) - logger.info("[STATUS] Getting the server ready ...") - while True: - try: - await engine_client.setup() - break - except TimeoutError: - # A timeout is raised if client cannot connect to the background process. - # This could be due to one of the following reasons: - # 1. The engine has died during construction of the actor: In this case - # get() on any of its methods will raise an ActorDiedError which should - # be re-raised - # 2. The engine is just not up yet (downloading the model, sharding, etc.) - # In this case, we should just wait. - # 3. Something in the .start() has caused the engine to fail: In this - # case the exception is caught and get_error will return the error - # which should be re-raised. - logger.info("[STATUS] Waiting for engine process ...") - try: - # Wait 1 second to get any potential error raised in the engine loop - err = ray.get(process_ref.get_error.remote(), timeout=1) - if err: - raise RuntimeError("Background Engine loop is dead.") from err - except ray.exceptions.GetTimeoutError: - # If it times out then the background loop is keeping it busy - pass - except ray.exceptions.ActorDiedError as e: - logger.error("[ERROR] Actor died.") - raise RuntimeError("Background Engine loop is dead.") from e - - logger.info("[STATUS] Server is ready.") + from vllm.engine.async_llm_engine import AsyncLLMEngine + from vllm.executor.ray_distributed_executor import RayDistributedExecutor + + vllm_engine_config.parallel_config.placement_group = placement_group + + _clear_current_platform_cache() + + engine_client = AsyncLLMEngine( + vllm_config=vllm_engine_config, + executor_class=RayDistributedExecutor, + log_stats=not vllm_engine_args.disable_log_stats, + ) return engine_client def _start_async_llm_engine( self, - engine_args: "AsyncEngineArgs", - vllm_config: "VllmConfig", + vllm_engine_args: "AsyncEngineArgs", + vllm_engine_config: "VllmConfig", placement_group: PlacementGroup, - use_v1: bool = False, ) -> "EngineClient": """Creates an async LLM engine from the engine arguments.""" + from vllm import envs as vllm_envs + + # NOTE: This is a temporary solution untill vLLM v1 supports embeddings. + if not vllm_envs.VLLM_USE_V1: + return self._start_async_llm_engine_v0( + vllm_engine_args, vllm_engine_config, placement_group + ) + + from vllm.v1.engine.async_llm import AsyncLLM from vllm.v1.executor.abstract import Executor - vllm_config.parallel_config.placement_group = placement_group + vllm_engine_config.parallel_config.placement_group = placement_group _clear_current_platform_cache() @@ -510,20 +378,20 @@ def _start_async_llm_engine( RayPrometheusStatLogger, ) - # V1 AsyncLLMEngine does not yet support add_logger + # V1 AsyncLLM does not yet support add_logger # For now, assume folks enabling log_engine_metrics do not require LoggingStatLogger, PrometheusStatLogger custom_stat_loggers = [RayPrometheusStatLogger] - executor_class = Executor.get_class(vllm_config) + executor_class = Executor.get_class(vllm_engine_config) logger.info(f"Using executor class: {executor_class}") - engine = vllm.AsyncLLMEngine( - vllm_config=vllm_config, + engine_client = AsyncLLM( + vllm_config=vllm_engine_config, executor_class=executor_class, - log_stats=not engine_args.disable_log_stats, + log_stats=not vllm_engine_args.disable_log_stats, stat_loggers=custom_stat_loggers, ) - return engine + return engine_client async def prepare_request( self, @@ -625,7 +493,9 @@ async def generate( ) # Construct a results generator from vLLM - results_generator: AsyncGenerator["RequestOutput", None] = self.engine.generate( + results_generator: AsyncGenerator[ + "RequestOutput", None + ] = self._engine_client.generate( prompt=prompt, sampling_params=self._parse_sampling_params(request.sampling_params), request_id=request.request_id, @@ -736,7 +606,7 @@ async def generate( finally: # Ensure that we cancel on the engine once we have exited the streaming # phase - await self.engine.abort(request.request_id) + await self._engine_client.abort(request.request_id) def _get_prompt_limit(self) -> int: """Helper to get the prompt limit from scheduler config @@ -790,7 +660,9 @@ async def embed( for i, prompt in enumerate(prompts): request_id = f"{vllm_embedding_request.request_id}-{i}" - gen: AsyncGenerator["PoolingRequestOutput", None] = self.engine.encode( + gen: AsyncGenerator[ + "PoolingRequestOutput", None + ] = self._engine_client.encode( prompt=vllm.TextPrompt( prompt=prompt, ), @@ -818,11 +690,13 @@ async def embed( return embedding_data, total_prompt_tokens async def check_health(self) -> None: - if not hasattr(self.engine, "check_health"): - raise RuntimeError(f"{type(self.engine)} does not support health check.") + if not hasattr(self._engine_client, "check_health"): + raise RuntimeError( + f"{type(self._engine_client)} does not support health check." + ) try: - await self.engine.check_health() + await self._engine_client.check_health() except BaseException as e: logger.error("Healthcheck failed. The replica will be restarted") raise e from None diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py index 8d244efba444..57cd19f20283 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py @@ -22,14 +22,14 @@ class FakeVLLMEngine: def __init__(self, mock: Mock, output=None): - self.engine = mock + self._engine_client = mock self._output = output or [] self.num_generated = 0 async def generate(self, *args, **kwargs): # Record the call - self.engine.generate(*args, **kwargs) + self._engine_client.generate(*args, **kwargs) for x in self._output: await asyncio.sleep(0.01) @@ -38,11 +38,11 @@ async def generate(self, *args, **kwargs): async def abort(self, request_id: str): # Record the call - self.engine.abort(request_id) + self._engine_client.abort(request_id) def _abort(self, request_id: str, **kwargs): # Record the call - self.engine.abort(request_id) + self._engine_client.abort(request_id) def get_fake_responses(*tokens: List[str]): @@ -78,7 +78,9 @@ def get_fake_engine_and_request(llm_config: LLMConfig, expected_out: List[str]): vllm_engine.model_config.max_model_len = 1 engine_mock = Mock() - vllm_engine.engine = FakeVLLMEngine(engine_mock, get_fake_responses(*expected_out)) + vllm_engine._engine_client = FakeVLLMEngine( + engine_mock, get_fake_responses(*expected_out) + ) req = VLLMGenerationRequest( prompt="prompt", @@ -155,7 +157,7 @@ async def run(): # Abort should be called engine_mock.abort.assert_called_once_with("req_id") assert ( - vllm_engine.engine.num_generated <= 4 + vllm_engine._engine_client.num_generated <= 4 ), "We should have generated not more than 4 tokens" @pytest.mark.parametrize("enable_json_mode", [True, False]) diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_lora.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_lora.yaml index df0b0c36a364..c5908bb1137a 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_lora.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_lora.yaml @@ -7,6 +7,7 @@ accelerator_type: A10G engine_kwargs: max_model_len: 2048 enable_lora: true + enforce_eager: true lora_config: dynamic_lora_loading_path: "s3://anyscale-production-data-cld-wy5a6nhazplvu32526ams61d98/org_7c1Kalm9WcX2bNIjW53GUT/cld_wy5a6nhazplvu32526ams61d98/artifact_storage/rayllm_release_test/lora_fine_tuning" diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml index 61924f2bb18d..25072095a2c2 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml @@ -3,11 +3,6 @@ model_loading_config: accelerator_type: A10G -# Test V1 at the same time -runtime_env: - env_vars: - VLLM_USE_V1: "1" - engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 diff --git a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml index 7ffb909fb349..092d9660b1eb 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml @@ -4,9 +4,6 @@ applications: model_loading_config: model_id: neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 accelerator_type: A10G - runtime_env: - env_vars: - VLLM_USE_V1: "1" engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 @@ -18,9 +15,6 @@ applications: model_loading_config: model_id: neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 accelerator_type: A10G - runtime_env: - env_vars: - VLLM_USE_V1: "1" engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 diff --git a/release/llm_tests/serve/probes/models.py b/release/llm_tests/serve/probes/models.py index 27d073a8b1cf..5c067515df26 100644 --- a/release/llm_tests/serve/probes/models.py +++ b/release/llm_tests/serve/probes/models.py @@ -97,11 +97,15 @@ def is_release_test_model(model: "openai.types.model.Model") -> bool: def is_finetuned_model(model: "openai.types.model.Model") -> bool: # If base_model_id is set, this is a finetuned model - return model.rayllm_metadata.get("base_model_id") is not None + return ( + model.model_dump().get("rayllm_metadata", {}).get("base_model_id") is not None + ) def is_vision_language_model(model: "openai.types.model.Model") -> bool: - return model.rayllm_metadata.get("input_modality") == "image" + return ( + model.model_dump().get("rayllm_metadata", {}).get("input_modality") == "image" + ) def is_rate_liming_test_model(model: "openai.types.model.Model") -> bool: @@ -130,7 +134,7 @@ def is_completions_only_model(model: "openai.types.model.Model") -> bool: def supports_function_calling_via_prompt(model: "openai.types.model.Model") -> bool: # True if tool template is specified in the generation config - gen_config = model.rayllm_metadata.get("generation", False) + gen_config = model.model_dump().get("rayllm_metadata", {}).get("generation", False) if not gen_config: return False diff --git a/release/llm_tests/serve/probes/test_basic.py b/release/llm_tests/serve/probes/test_basic.py index 0c35adaeba01..ca42f934095e 100755 --- a/release/llm_tests/serve/probes/test_basic.py +++ b/release/llm_tests/serve/probes/test_basic.py @@ -304,19 +304,15 @@ async def test_logprobs( ) response = await deterministic_query.query(model, stream, **params) + response = response.full_dict() for resp in response: - running_str = "" for logprob in resp["logprobs"]["content"]: assert len(logprob["top_logprobs"]) == num_logprobs assert list(logprob["token"].encode()) == logprob["bytes"] - # Special tokens that will not be a part of the response content - if logprob["token"] not in ("", "<|eot_id|>"): - running_str += logprob["token"] - assert running_str == resp["message"]["content"] - # top logprobs have to be between 0 and 5 - invalid_num_logprobs = [-1, 6] + # top logprobs have to be positive integer + invalid_num_logprobs = [-1] bad_config = configuration.copy() for invalid_num_logprob in invalid_num_logprobs: bad_config["top_logprobs"] = invalid_num_logprob diff --git a/release/llm_tests/serve/run_llm_serve_test_and_bms.py b/release/llm_tests/serve/run_llm_serve_test_and_bms.py index d783d7d51540..366a137f2a38 100644 --- a/release/llm_tests/serve/run_llm_serve_test_and_bms.py +++ b/release/llm_tests/serve/run_llm_serve_test_and_bms.py @@ -74,7 +74,6 @@ @click.option( "--timeout", type=int, default=600, help="Ray LLM service timeout parameter." ) -@click.option("--vllm-use-v1", is_flag=True, help="Use vLLM v1 engine in this test.") @click.option( "--run-vllm-profiler", is_flag=True, @@ -87,7 +86,6 @@ def main( run_serve_llm_profiler: bool, skip_hf_token: bool, timeout: int, - vllm_use_v1: bool, run_vllm_profiler: bool, ): if image_uri is None: @@ -98,8 +96,6 @@ def main( applications = get_applications(serve_config_file) compute_config = get_current_compute_config_name() env_vars = get_hf_token_env_var() if not skip_hf_token else {} - vllm_use_v1_env = "1" if vllm_use_v1 else "0" - env_vars["VLLM_USE_V1"] = vllm_use_v1_env if run_vllm_profiler: @@ -107,7 +103,6 @@ def main( image_uri, serve_config_file, env_vars["HUGGING_FACE_HUB_TOKEN"], - vllm_use_v1_env, ) # Start Ray LLM Service while vLLM job is running @@ -178,7 +173,7 @@ def main( "service_name": SERVICE_NAME, "py_version": get_python_version_from_image(image_uri), "tag": tag, - "vllm_engine": f"V{vllm_use_v1_env}", + "vllm_engine": "V1", **result, }, ) @@ -203,9 +198,7 @@ def main( record.write(verbose=True) -def submit_benchmark_vllm_job( - image_uri: str, serve_config_file: str, hf_token: str, vllm_use_v1_env: str -): +def submit_benchmark_vllm_job(image_uri: str, serve_config_file: str, hf_token: str): s3_storage_path = get_vllm_s3_storage_path() working_dir = str(Path(__file__).parent) @@ -230,7 +223,6 @@ def submit_benchmark_vllm_job( env_vars={ "BUILDKITE_BRANCH": os.environ.get("BUILDKITE_BRANCH", ""), "HF_TOKEN": hf_token, - "VLLM_USE_V1": vllm_use_v1_env, }, max_retries=0, ) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 445f6f114250..00f9f77bfa89 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4245,7 +4245,7 @@ run: timeout: 3600 long_running: false - script: python run_llm_serve_test_and_bms.py --serve-config-file configs/serve_llama_3dot1_8b_lora.yaml + script: python run_llm_serve_test_and_bms.py --serve-config-file configs/serve_llama_3dot1_8b_lora.yaml --timeout 900 - name: llm_serve_llama_3dot2_1B_s3 frequency: nightly @@ -4277,8 +4277,6 @@ cluster: byod: type: llm-cu128 - runtime_env: - - VLLM_USE_V1=1 cluster_compute: llm_four_L4_gpu_head_node.yaml # NOTE: Important for getting the correct secrets cloud_id: cld_wy5a6nhazplvu32526ams61d98 @@ -4298,8 +4296,6 @@ cluster: byod: type: llm-cu128 - runtime_env: - - VLLM_USE_V1=1 cluster_compute: llm_four_L4_gpu_head_node.yaml # NOTE: Important for getting the correct secrets cloud_id: cld_wy5a6nhazplvu32526ams61d98 From 59e5d48165a1266252099173032d384aaf63801e Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 9 Jul 2025 17:16:29 -0700 Subject: [PATCH 0126/1566] [core] upgrade opentelemetry-sdk (#53745) This PR updates the `opentelemetry-sdk` version requirement to a minimum of 1.30, which is necessary to support histogram metrics as part of our migration from OpenCensus to OpenTelemetry. As part of this upgrade, I am also removing `opentelemetry-exporter-otlp` from the `ray[all]` dependency set. This package has been notoriously difficult to resolve alongside other dependencies, and this issue becomes even bigger with the updated SDK version. Since it is only used for the Ray tracing feature, I propose making it an optional, user-controlled dependency instead of a default one. Additionally, the test environment has been updated to ensure `test_tracing.py` continues to pass, verifying that tracing functionality remains intact. Test: - CI Signed-off-by: can Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 2 + .buildkite/serve.rayci.yml | 21 ++- ci/docker/serve.build.Dockerfile | 10 ++ ci/docker/servetracing.build.wanda.yaml | 11 ++ python/ray/tests/BUILD | 1 + python/requirements.txt | 6 +- python/requirements/cloud-requirements.txt | 3 - python/requirements/test-requirements.txt | 5 +- python/requirements_compiled.txt | 47 +----- .../requirements_compiled_ray_py311_cpu.txt | 156 ++---------------- .../requirements_compiled_ray_py311_cu121.txt | 156 ++---------------- .../requirements_compiled_ray_py311_cu128.txt | 156 ++---------------- ...quirements_compiled_ray_test_py311_cpu.txt | 80 ++------- ...irements_compiled_ray_test_py311_cu121.txt | 80 ++------- ...irements_compiled_ray_test_py311_cu128.txt | 80 ++------- ...requirements_compiled_rayllm_py311_cpu.txt | 156 ++---------------- ...quirements_compiled_rayllm_py311_cu121.txt | 156 ++---------------- ...quirements_compiled_rayllm_py311_cu128.txt | 156 ++---------------- ...rements_compiled_rayllm_test_py311_cpu.txt | 80 ++------- ...ments_compiled_rayllm_test_py311_cu121.txt | 80 ++------- ...ments_compiled_rayllm_test_py311_cu128.txt | 80 ++------- python/setup.py | 5 +- 22 files changed, 265 insertions(+), 1262 deletions(-) create mode 100644 ci/docker/servetracing.build.wanda.yaml diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 3d70bbde89cb..2f5d41f9f707 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -115,12 +115,14 @@ steps: - "3.9" - "3.10" - "3.11" + - label: ":tapioca: smoke test build-docker.sh" tags: - python_dependencies - docker - oss instance_type: medium + soft_fail: true commands: - export WHEEL_URL="https://files.pythonhosted.org/packages/7e/7c/3544cca730265bb6f7a4900b7b7018c08ce5ec89bf7b6102901fe0bcd67b/ray-2.44.1-cp39-cp39-manylinux2014_x86_64.whl" - export CPP_WHEEL_URL="https://files.pythonhosted.org/packages/50/ae/c094818fd526bfb0a361a76bda5708a73cbc888b51edfc7d6aab9de837cd/ray_cpp-2.44.1-cp39-cp39-manylinux2014_x86_64.whl" diff --git a/.buildkite/serve.rayci.yml b/.buildkite/serve.rayci.yml index 716698549aa3..6b45f68f4430 100644 --- a/.buildkite/serve.rayci.yml +++ b/.buildkite/serve.rayci.yml @@ -21,6 +21,9 @@ steps: wanda: ci/docker/servepydantic1.build.wanda.yaml tags: cibase + - name: servetracingbuild + wanda: ci/docker/servetracing.build.wanda.yaml + - name: minbuild-serve label: "wanda: minbuild-{{matrix}}-py39" wanda: ci/docker/min.build.wanda.yaml @@ -41,7 +44,7 @@ steps: instance_type: large commands: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve - --except-tags post_wheel_build,gpu,ha_integration + --except-tags post_wheel_build,gpu,ha_integration,serve_tracing --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name servebuild --test-env=EXPECTED_PYTHON_VERSION=3.9 depends_on: "servebuild" @@ -55,7 +58,7 @@ steps: soft_fail: true commands: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve - --except-tags post_wheel_build,gpu,ha_integration + --except-tags post_wheel_build,gpu,ha_integration,serve_tracing --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name servepydantic1build --test-env=EXPECTED_PYTHON_VERSION=3.9 --test-env=EXPECTED_PYDANTIC_VERSION=1.10.12 depends_on: servepydantic1build @@ -69,7 +72,7 @@ steps: soft_fail: true commands: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve - --except-tags post_wheel_build,gpu,ha_integration + --except-tags post_wheel_build,gpu,ha_integration,serve_tracing --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name servebuild --test-env=EXPECTED_PYTHON_VERSION=3.9 --test-env=RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD=0 depends_on: "servebuild" @@ -82,7 +85,7 @@ steps: instance_type: large commands: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve - --except-tags post_wheel_build,gpu,ha_integration + --except-tags post_wheel_build,gpu,ha_integration,serve_tracing --workers 2 --worker-id {{matrix.worker_id}} --parallelism-per-worker 3 --python-version {{matrix.python}} --test-env=EXPECTED_PYTHON_VERSION={{matrix.python}} @@ -185,6 +188,16 @@ steps: - raycpubase - servebuild + - label: ":ray-serve: serve: tracing tests" + tags: + - serve + - python + instance_type: medium + commands: + - bazel run //ci/ray_ci:test_in_docker -- //python/ray/serve/... //python/ray/tests/... serve + --only-tags serve_tracing --build-name servetracingbuild + depends_on: servetracingbuild + - label: ":ray-serve: serve: doc gpu tests" tags: - serve diff --git a/ci/docker/serve.build.Dockerfile b/ci/docker/serve.build.Dockerfile index bde9a43396a1..1b38777f0f25 100644 --- a/ci/docker/serve.build.Dockerfile +++ b/ci/docker/serve.build.Dockerfile @@ -3,6 +3,7 @@ ARG DOCKER_IMAGE_BASE_BUILD=cr.ray.io/rayproject/oss-ci-base_build FROM $DOCKER_IMAGE_BASE_BUILD +ARG ENABLE_TRACING ARG PYDANTIC_VERSION ARG PYTHON @@ -35,4 +36,13 @@ else echo "Not installing Pydantic from source" fi +if [[ "${ENABLE_TRACING-}" == "1" ]]; then + # Install tracing dependencies if requested. Intentionally, we do not use + # requirements_compiled.txt as the constraint file. They are not compatible with + # a few packages in that file (e.g. requiring an ugprade to protobuf 5+). + pip install opentelemetry-exporter-otlp==1.34.1 +else + echo "Not installing tracing dependencies" +fi + EOF diff --git a/ci/docker/servetracing.build.wanda.yaml b/ci/docker/servetracing.build.wanda.yaml new file mode 100644 index 000000000000..9cd6ef66c2dc --- /dev/null +++ b/ci/docker/servetracing.build.wanda.yaml @@ -0,0 +1,11 @@ +name: "servetracingbuild" +froms: ["cr.ray.io/rayproject/oss-ci-base_build"] +dockerfile: ci/docker/serve.build.Dockerfile +srcs: + - python/requirements.txt + - python/requirements_compiled.txt + - python/requirements/test-requirements.txt +build_args: + - ENABLE_TRACING=1 +tags: + - cr.ray.io/rayproject/servetracingbuild diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index e8159c3f3d87..bcf32bcfe9ba 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -1226,6 +1226,7 @@ py_test( "exclusive", "medium_size_python_tests_k_to_z", "no_windows", + "serve_tracing", "team:serve", ], deps = [ diff --git a/python/requirements.txt b/python/requirements.txt index a064c97d10ab..6be75637c0a5 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -30,16 +30,16 @@ smart_open lz4 numpy>=1.20 aiorwlock -opentelemetry-exporter-otlp scipy colorful rich -opentelemetry-sdk +opentelemetry-sdk>=1.30.0 +opentelemetry-api opentelemetry-exporter-prometheus +opentelemetry-proto fastapi gymnasium==1.0.0 virtualenv!=20.21.1,>=20.0.24 -opentelemetry-api opencensus aiohttp_cors dm_tree diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index 63ffa342d6c1..0a61ff6e65c0 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -1,8 +1,5 @@ jupyterlab==3.6.1 ipywidgets -opentelemetry-api -opentelemetry-sdk -opentelemetry-exporter-otlp google-cloud-storage grpcio>=1.66.1 grpcio-tools diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 57f3c80666e7..6731ad75f420 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -36,9 +36,8 @@ moto[s3,server]==4.2.12 mypy==1.7.0 numba==0.59.1 openpyxl==3.0.10 -opentelemetry-api==1.26.0 -opentelemetry-sdk==1.26.0 -opentelemetry-exporter-otlp>=1.26.0 +opentelemetry-api +opentelemetry-sdk opencensus-proto==0.1.0 pexpect==4.8.0 Pillow==10.3.0; platform_system != "Windows" diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 6d21340c2b00..519d986f8917 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -407,12 +407,6 @@ delta-sharing==1.0.5 # via -r python/requirements/ml/data-test-requirements.txt deltalake==0.9.0 # via -r python/requirements/ml/data-test-requirements.txt -deprecated==1.2.18 - # via - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions dill==0.3.7 # via # datasets @@ -652,8 +646,6 @@ googleapis-common-protos==1.61.0 # via # google-api-core # grpcio-status - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # tensorflow-metadata gpy==1.13.1 # via -r python/requirements/ml/tune-test-requirements.txt @@ -686,7 +678,6 @@ grpcio==1.66.2 ; sys_platform != "darwin" # grpcio-tools # mlagents-envs # opencensus-proto - # opentelemetry-exporter-otlp-proto-grpc # tensorboard # tensorflow grpcio-status==1.48.2 @@ -1310,47 +1301,25 @@ opencv-python-headless==4.9.0.80 # via -r python/requirements/ml/rllib-test-requirements.txt openpyxl==3.0.10 # via -r python/requirements/test-requirements.txt -opentelemetry-api==1.26.0 +opentelemetry-api==1.34.1 # via # -r python/requirements.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt # mlflow-skinny - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 - # via - # -r python/requirements.txt - # -r python/requirements/cloud-requirements.txt - # -r python/requirements/test-requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 - # via - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 - # via opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 - # via opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 +opentelemetry-exporter-prometheus==0.55b1 # via -r python/requirements.txt -opentelemetry-proto==1.26.0 - # via - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 +opentelemetry-proto==1.27.0 + # via -r python/requirements.txt +opentelemetry-sdk==1.34.1 # via # -r python/requirements.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt # mlflow-skinny - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 +opentelemetry-semantic-conventions==0.55b1 # via opentelemetry-sdk opt-einsum==3.3.0 # via @@ -1885,7 +1854,6 @@ requests==2.32.3 # moto # msal # msrest - # opentelemetry-exporter-otlp-proto-http # pyiceberg # ray # requests-oauthlib @@ -2389,7 +2357,9 @@ typing-extensions==4.12.2 # mypy # myst-nb # nevergrad + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -2510,7 +2480,6 @@ wrapt==1.14.1 # aiobotocore # aws-xray-sdk # comet-ml - # deprecated # tensorflow # tensorflow-datasets wurlitzer==3.1.1 diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 18f26fbcdb12..3813bdb67738 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -373,15 +373,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -642,9 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -703,7 +692,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1137,68 +1125,37 @@ opencensus-context==0.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:38555cd773df903a2f7440778d6f8b48a86fd388604b171969bdbde4b746a558 \ - --hash=sha256:704a3b2a7511d2c9065013d362a8371bc452ae6c0521941de680af2a5ca94884 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:2a2135f87cdad417408d34fc6131879d5cee1d7af7546b4a1f67fd178b262f4e \ - --hash=sha256:61ee0a6e9a12dd7191aedca34a8a3e7cc4e8e92504a71adf390b6d2bcc36d0d4 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:281e9bbce73b08c1c93781cf7f4282396f74895987fdc051bea335f7dd086199 \ - --hash=sha256:5a4a86becf4f9fdf2910a5b869fc40ec9978044f93045fdce240fecb6c64681a - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:237ef4fdd7f752b2fe740352643f8ef82733bd8e0db8b46ed808125ac7c7f112 \ - --hash=sha256:ff1ad9a3c572075883c2af0053cefdfaba005d71eade783c4524d34660d53b60 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:ba29274aab656572e97e0339afaad6f2bded4102324b1475ab7412079498df6e \ - --hash=sha256:da7dfa6188e8a39f34b99495260e6a1d398c86a9de064c7f0805db6f16733d94 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:ecae7367203e5204c70518e6d24b438480d6a6f1e5c8ee9dc2145f176ff4452e \ - --hash=sha256:fac014ac2098b1a05fe58af77cbe74c825ff869d6d53d316c393cc77f507ec15 +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opentelemetry-sdk @@ -1737,7 +1694,6 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt # google-api-core - # opentelemetry-exporter-otlp-proto-http rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f @@ -1971,7 +1927,9 @@ typing-extensions==4.12.2 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -2021,84 +1979,6 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # deprecated yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index fd6dddec3b89..a17b9ef83fee 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -373,15 +373,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -642,9 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -703,7 +692,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1137,68 +1125,37 @@ opencensus-context==0.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:38555cd773df903a2f7440778d6f8b48a86fd388604b171969bdbde4b746a558 \ - --hash=sha256:704a3b2a7511d2c9065013d362a8371bc452ae6c0521941de680af2a5ca94884 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:2a2135f87cdad417408d34fc6131879d5cee1d7af7546b4a1f67fd178b262f4e \ - --hash=sha256:61ee0a6e9a12dd7191aedca34a8a3e7cc4e8e92504a71adf390b6d2bcc36d0d4 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:281e9bbce73b08c1c93781cf7f4282396f74895987fdc051bea335f7dd086199 \ - --hash=sha256:5a4a86becf4f9fdf2910a5b869fc40ec9978044f93045fdce240fecb6c64681a - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:237ef4fdd7f752b2fe740352643f8ef82733bd8e0db8b46ed808125ac7c7f112 \ - --hash=sha256:ff1ad9a3c572075883c2af0053cefdfaba005d71eade783c4524d34660d53b60 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:ba29274aab656572e97e0339afaad6f2bded4102324b1475ab7412079498df6e \ - --hash=sha256:da7dfa6188e8a39f34b99495260e6a1d398c86a9de064c7f0805db6f16733d94 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:ecae7367203e5204c70518e6d24b438480d6a6f1e5c8ee9dc2145f176ff4452e \ - --hash=sha256:fac014ac2098b1a05fe58af77cbe74c825ff869d6d53d316c393cc77f507ec15 +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opentelemetry-sdk @@ -1737,7 +1694,6 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt # google-api-core - # opentelemetry-exporter-otlp-proto-http rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f @@ -1971,7 +1927,9 @@ typing-extensions==4.12.2 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -2021,84 +1979,6 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # deprecated yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index ee67bfecda1f..c6249b80e4c3 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -373,15 +373,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -642,9 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -703,7 +692,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1101,68 +1089,37 @@ opencensus-context==0.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opentelemetry-sdk @@ -1701,7 +1658,6 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt # google-api-core - # opentelemetry-exporter-otlp-proto-http rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f @@ -1934,7 +1890,9 @@ typing-extensions==4.12.2 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -1984,84 +1942,6 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # deprecated yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index ba6a56626de0..ee62684c1b4e 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -522,15 +522,6 @@ defusedxml==0.7.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -924,8 +915,6 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -987,7 +976,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1744,71 +1732,37 @@ opencensus-context==0.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk @@ -2617,7 +2571,6 @@ requests==2.32.3 \ # google-api-core # google-cloud-storage # jupyterlab-server - # opentelemetry-exporter-otlp-proto-http rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -3018,7 +2971,9 @@ typing-extensions==4.12.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -3191,7 +3146,6 @@ wrapt==1.14.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt - # deprecated y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 750c7298ffba..51f6f29d2fce 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -522,15 +522,6 @@ defusedxml==0.7.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -924,8 +915,6 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -987,7 +976,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1744,71 +1732,37 @@ opencensus-context==0.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk @@ -2617,7 +2571,6 @@ requests==2.32.3 \ # google-api-core # google-cloud-storage # jupyterlab-server - # opentelemetry-exporter-otlp-proto-http rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -3018,7 +2971,9 @@ typing-extensions==4.12.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -3191,7 +3146,6 @@ wrapt==1.14.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt - # deprecated y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 6a204d5b3afb..bc978cab4d66 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -522,15 +522,6 @@ defusedxml==0.7.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -924,8 +915,6 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -987,7 +976,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1744,71 +1732,37 @@ opencensus-context==0.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # opencensus -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c /tmp/ray-deps/requirements_compiled.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c /tmp/ray-deps/requirements_compiled.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk @@ -2617,7 +2571,6 @@ requests==2.32.3 \ # google-api-core # google-cloud-storage # jupyterlab-server - # opentelemetry-exporter-otlp-proto-http rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -3018,7 +2971,9 @@ typing-extensions==4.12.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # gymnasium + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # pydantic # pydantic-core # pyopenssl @@ -3191,7 +3146,6 @@ wrapt==1.14.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt - # deprecated y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 699b1ca7a034..0827fe2f0e00 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -490,15 +490,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt # ray -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -821,9 +812,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -882,7 +871,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1692,68 +1680,37 @@ opencv-python-headless==4.11.0.86 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # opentelemetry-sdk @@ -2762,7 +2719,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # tiktoken @@ -3247,7 +3203,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -3424,84 +3382,6 @@ websockets==15.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # uvicorn -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 03537f9956bb..9fbe97fa9660 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -490,15 +490,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt # ray -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -821,9 +812,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -882,7 +871,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1808,68 +1796,37 @@ opencv-python-headless==4.11.0.86 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # opentelemetry-sdk @@ -2878,7 +2835,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # tiktoken @@ -3382,7 +3338,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -3559,84 +3517,6 @@ websockets==15.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # uvicorn -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 8cd9f82ef8e0..2e5d0115173a 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -490,15 +490,6 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt # ray -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -821,9 +812,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -grpcio==1.66.2 \ +grpcio==1.66.2 ; sys_platform != 'darwin' \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -882,7 +871,6 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -1732,68 +1720,37 @@ opencv-python-headless==4.11.0.86 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # opentelemetry-sdk @@ -2802,7 +2759,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # tiktoken @@ -3274,7 +3230,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -3451,84 +3409,6 @@ websockets==15.0.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # uvicorn -wrapt==1.14.1 \ - --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ - --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ - --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ - --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ - --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ - --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ - --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ - --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ - --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ - --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ - --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ - --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ - --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ - --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ - --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ - --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ - --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ - --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ - --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ - --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ - --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ - --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ - --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ - --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ - --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ - --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ - --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ - --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ - --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ - --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ - --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ - --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ - --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ - --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ - --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ - --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ - --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ - --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ - --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ - --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ - --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ - --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ - --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ - --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ - --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ - --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ - --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ - --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ - --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ - --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ - --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ - --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ - --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ - --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ - --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ - --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ - --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ - --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ - --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ - --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ - --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ - --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ - --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ - --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ - --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ - --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ - --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ - --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ - --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ - --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ - --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ - --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ - --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ - --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:bc0fdaaef53434566449340fc758342724d13d52cfa3a77f587535687e9d600c # via diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index cc43f5c981d8..e5068995c733 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -642,15 +642,6 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -1092,8 +1083,6 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -1155,7 +1144,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -2306,71 +2294,37 @@ opencv-python-headless==4.11.0.86 \ # via # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cpu.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cpu.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cpu.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opentelemetry-sdk @@ -3523,7 +3477,6 @@ requests==2.32.3 \ # huggingface-hub # jupyterlab-server # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # sphinx @@ -4190,7 +4143,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -4484,7 +4439,6 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index f9fd074dedcc..3b62093c86b0 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -642,15 +642,6 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -1092,8 +1083,6 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -1155,7 +1144,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -2397,71 +2385,37 @@ opencv-python-headless==4.11.0.86 \ # via # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cu121.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cu121.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cu121.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opentelemetry-sdk @@ -3614,7 +3568,6 @@ requests==2.32.3 \ # huggingface-hub # jupyterlab-server # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # sphinx @@ -4301,7 +4254,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -4595,7 +4550,6 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 194fd26d3792..319389772813 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -641,15 +641,6 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # nbconvert -deprecated==1.2.18 \ - --hash=sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d \ - --hash=sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-api - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http - # opentelemetry-semantic-conventions depyf==0.18.0 \ --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d @@ -1091,8 +1082,6 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-api-core - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ @@ -1154,7 +1143,6 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools - # opentelemetry-exporter-otlp-proto-grpc gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -2320,71 +2308,37 @@ opencv-python-headless==4.11.0.86 \ # via # mistral-common # vllm -opentelemetry-api==1.26.0 \ - --hash=sha256:2bd639e4bed5b18486fef0b5a520aaffde5a18fc225e808a1ac4df363f43a1ce \ - --hash=sha256:7d7ea33adf2ceda2dd680b18b1677e4152000b37ca76e679da71ff103b943064 +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via # -c python/requirements_compiled_ray_test_py311_cu128.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions -opentelemetry-exporter-otlp==1.26.0 \ - --hash=sha256:cf0e093f080011951d9f97431a83869761e4d4ebe83a4195ee92d7806223299c \ - --hash=sha256:f839989f54bda85ee33c5dae033c44dcec9ccbb0dafc6a43d585df44da1d2036 +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via # -c python/requirements_compiled_ray_test_py311_cu128.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt -opentelemetry-exporter-otlp-proto-common==1.26.0 \ - --hash=sha256:bdbe50e2e22a1c71acaa0c8ba6efaadd58882e5a5978737a44a4c4b10d304c92 \ - --hash=sha256:ee4d8f8891a1b9c372abf8d109409e5b81947cf66423fd998e56880057afbc71 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-exporter-otlp-proto-grpc==1.26.0 \ - --hash=sha256:a65b67a9a6b06ba1ec406114568e21afe88c1cdb29c464f2507d529eb906d8ae \ - --hash=sha256:e2be5eff72ebcb010675b818e8d7c2e7d61ec451755b8de67a140bc49b9b0280 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-otlp-proto-http==1.26.0 \ - --hash=sha256:5801ebbcf7b527377883e6cbbdda35ee712dc55114fff1e93dfee210be56c908 \ - --hash=sha256:ee72a87c48ec977421b02f16c52ea8d884122470e0be573905237b540f4ee562 - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp -opentelemetry-exporter-prometheus==0.47b0 \ - --hash=sha256:03e8ebccdaeae3a7dad9909d1203dfce5d6c3311ff715911156ed61d9928ab44 \ - --hash=sha256:d65d73da0689f5ec4da9951b209f04ecc8596864daf9b7422bac0d7dc3cb7b76 +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -opentelemetry-proto==1.26.0 \ - --hash=sha256:6c4d7b4d4d9c88543bcf8c28ae3f8f0448a753dc291c18c5390444c90b76a725 \ - --hash=sha256:c5c18796c0cab3751fc3b98dee53855835e90c0422924b484432ac852d93dc1e - # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt - # opentelemetry-exporter-otlp-proto-common - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http -opentelemetry-sdk==1.26.0 \ - --hash=sha256:c90d2868f8805619535c05562d699e2f4fb1f00dbd55a86dcefca4da6fa02f85 \ - --hash=sha256:feb5056a84a88670c041ea0ded9921fca559efec03905dddeb3885525e0af897 +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via # -c python/requirements_compiled_ray_test_py311_cu128.txt - # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt - # opentelemetry-exporter-otlp-proto-grpc - # opentelemetry-exporter-otlp-proto-http # opentelemetry-exporter-prometheus -opentelemetry-semantic-conventions==0.47b0 \ - --hash=sha256:4ff9d595b85a59c1c1413f02bba320ce7ea6bf9e2ead2b0913c4395c7bbc1063 \ - --hash=sha256:a8d57999bbe3495ffd4d510de26a97dadc1dace53e0275001b2c1b2f67992a7e +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opentelemetry-sdk @@ -3537,7 +3491,6 @@ requests==2.32.3 \ # huggingface-hub # jupyterlab-server # mistral-common - # opentelemetry-exporter-otlp-proto-http # outlines # ray # sphinx @@ -4192,7 +4145,9 @@ typing-extensions==4.12.2 \ # huggingface-hub # mistral-common # openai + # opentelemetry-api # opentelemetry-sdk + # opentelemetry-semantic-conventions # outlines # pydantic # pydantic-core @@ -4486,7 +4441,6 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt - # deprecated xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:bc0fdaaef53434566449340fc758342724d13d52cfa3a77f587535687e9d600c # via vllm diff --git a/python/setup.py b/python/setup.py index 661aa3921780..9c964783d860 100644 --- a/python/setup.py +++ b/python/setup.py @@ -250,7 +250,7 @@ def get_packages(self): "grpcio >= 1.32.0; python_version < '3.10'", # noqa:E501 "grpcio >= 1.42.0; python_version >= '3.10'", # noqa:E501 "opencensus", - "opentelemetry-sdk", + "opentelemetry-sdk >= 1.30.0", "opentelemetry-exporter-prometheus", "opentelemetry-proto", pydantic_dep, @@ -259,9 +259,6 @@ def get_packages(self): "virtualenv >=20.0.24, !=20.21.1", # For pip runtime env. ], "observability": [ - "opentelemetry-api", - "opentelemetry-sdk", - "opentelemetry-exporter-otlp", "memray; sys_platform != 'win32'", ], "serve": [ From 2deefbebefd23d736cb1282982785e07980da2bf Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 9 Jul 2025 17:46:25 -0700 Subject: [PATCH 0127/1566] [serve] deflake test_deployment_scheduler_with_comp_sched (#54479) Deflake `test_deployment_scheduler_with_comp_sched`. Example failures: https://buildkite.com/ray-project/postmerge/builds/11299#0197e67f-226c-4c40-accc-76584a3f07b3/177-1986 https://buildkite.com/ray-project/postmerge/builds/11286#0197e5a4-f838-4779-8883-1731ed77b2a8/177-1501 https://buildkite.com/ray-project/postmerge/builds/11286#0197e5f0-bf4b-45dc-8cb7-a30db3eeb4bc/177-1949 Cause for flakiness: - In order to deploy replica actors with non-uniform resource requirements, we used multiple applications. However this causes the controller to launch a separate task for each application to import + build the app, which takes time and sometimes causes the wait_for_condition to time out waiting for all applications to reach RUNNING. - Fixed by deploying a single application with multiple deployments instead of multiple applications with 1 deployment-per-application. Other issues found while debugging the test: - The test was not really functional because the resource requirements was off by a factor of 10. - Fixed by setting num available cpus on each node to 1 instead of 10. - Comparisons between resource objects suffer from floating precision issues. - Fixed by adding an epsilon when doing comparisons. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../serve/_private/deployment_scheduler.py | 4 +- .../serve/tests/test_deployment_scheduler.py | 54 +++++++++---------- 2 files changed, 30 insertions(+), 28 deletions(-) diff --git a/python/ray/serve/_private/deployment_scheduler.py b/python/ray/serve/_private/deployment_scheduler.py index 14e3182d5bb2..473044a657d7 100644 --- a/python/ray/serve/_private/deployment_scheduler.py +++ b/python/ray/serve/_private/deployment_scheduler.py @@ -41,6 +41,7 @@ class SpreadDeploymentSchedulingPolicy: class Resources(dict): # Custom resource priority from environment variable CUSTOM_PRIORITY: List[str] = RAY_SERVE_HIGH_PRIORITY_CUSTOM_RESOURCES + EPSILON = 1e-9 def get(self, key: str): val = super().get(key) @@ -56,7 +57,8 @@ def get(self, key: str): def can_fit(self, other): keys = set(self.keys()) | set(other.keys()) - return all(self.get(k) >= other.get(k) for k in keys) + # We add a small epsilon to avoid floating point precision issues. + return all(self.get(k) + self.EPSILON >= other.get(k) for k in keys) def __eq__(self, other): keys = set(self.keys()) | set(other.keys()) diff --git a/python/ray/serve/tests/test_deployment_scheduler.py b/python/ray/serve/tests/test_deployment_scheduler.py index 1fccc1a83f71..b22cd5dfd79b 100644 --- a/python/ray/serve/tests/test_deployment_scheduler.py +++ b/python/ray/serve/tests/test_deployment_scheduler.py @@ -15,8 +15,6 @@ ) from ray.serve._private.test_utils import check_apps_running, get_node_id from ray.serve._private.utils import get_head_node_id -from ray.serve.context import _get_global_client -from ray.serve.schema import ServeDeploySchema from ray.tests.conftest import * # noqa @@ -209,8 +207,8 @@ def test_e2e_basic(self, ray_cluster, use_pg: bool): @pytest.mark.parametrize( "app_resources,expected_worker_nodes", [ - # [2, 5, 3, 3, 7, 2, 6, 2] -> 3 nodes - ({5: 1, 3: 2, 7: 1, 2: 3, 6: 1}, 3), + # [2, 5, 3, 3, 7, 6, 4] -> 3 nodes + ({5: 1, 3: 2, 7: 1, 2: 1, 6: 1, 4: 1}, 3), # [1, 7, 7, 3, 2] -> 2 nodes ({1: 1, 7: 2, 3: 1, 2: 1}, 2), # [7, 3, 2, 7, 7, 2] -> 3 nodes @@ -221,37 +219,39 @@ def test_e2e_fit_replicas( self, ray_cluster, use_pg, app_resources, expected_worker_nodes ): for _ in range(expected_worker_nodes): - ray_cluster.add_node(num_cpus=10) + ray_cluster.add_node(num_cpus=1) ray_cluster.wait_for_nodes() ray.init(address=ray_cluster.address) serve.start() - client = _get_global_client() - applications = [] + @serve.deployment + def A(): + return ray.get_runtime_context().get_node_id() + + @serve.deployment(ray_actor_options={"num_cpus": 0}) + class Ingress: + def __init__(self, *handles): + self.handles = handles + + def __call__(self): + pass + + deployments = [] for n, count in app_resources.items(): - name = n num_cpus = 0.1 * n - app = { - "name": f"app{name}", - "import_path": "ray.serve.tests.test_deployment_scheduler.app_A", - "route_prefix": f"/app{name}", - "deployments": [ - { - "name": "A", - "num_replicas": count, - "ray_actor_options": {"num_cpus": 0 if use_pg else num_cpus}, - } - ], - } - if use_pg: - app["deployments"][0]["placement_group_bundles"] = [{"CPU": num_cpus}] - app["deployments"][0]["placement_group_strategy"] = "STRICT_PACK" - - applications.append(app) + deployments.append( + A.options( + name=f"A{n}", + num_replicas=count, + ray_actor_options={"num_cpus": 0 if use_pg else num_cpus}, + placement_group_bundles=[{"CPU": num_cpus}] if use_pg else None, + placement_group_strategy="STRICT_PACK" if use_pg else None, + ).bind() + ) - client.deploy_apps(ServeDeploySchema(**{"applications": applications})) - wait_for_condition(check_apps_running, apps=[f"app{n}" for n in app_resources]) + serve.run(Ingress.bind(*deployments)) + wait_for_condition(check_apps_running, apps=["default"]) print("Test passed!") @pytest.mark.parametrize("use_pg", [True, False]) From 631e68d6f4288b2e014cd9d93f15efe2808151a0 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 9 Jul 2025 17:46:56 -0700 Subject: [PATCH 0128/1566] [serve] deflake test_metrics (#54482) ## Why are these changes needed? `test_metrics.py::test_proxy_disconnect_metrics` is flaky because when the http request is cancelled through client disconnect, the `num_waiters` counter in `SignalActor` will not get decremented. So the wait for condition at https://github.com/ray-project/ray/compare/master...zcin:ray:deflake-test-metrics?expand=1#diff-272ca4ee353f44233f36fc67c61ed6df94a49019ed67278d9822f7a6cc5f510eL600-L602 doesn't do any waiting and passes immediately ``` # Wait briefly, then forcefully close the channel wait_for_condition( lambda: ray.get(signal.cur_num_waiters.remote()) == 1, timeout=10 ) channel.close() # Forcefully close the channel, simulating a client disconnect ``` So then we disconnect the client for the gRPC request before it has even begun processing in the proxy --> no error requests are recorded. Fixed by splitting the test into two so the http test doesn't interfere with the grpc test. Example failures: https://buildkite.com/ray-project/postmerge/builds/11358#0197eff1-176b-429f-baa0-7454efbc02cc/177-5810 https://buildkite.com/ray-project/postmerge/builds/11334#0197eba5-8080-49ff-8fcf-8aa3f2fa9141/177-6675 https://buildkite.com/ray-project/postmerge/builds/11313#0197e86d-9d7b-4302-86e5-6d20e81e66b7/177-6381 Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_metrics.py | 36 +++++++++++++++++++------- 1 file changed, 27 insertions(+), 9 deletions(-) diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index e4cddae063c1..f27443f3bb9d 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -550,8 +550,8 @@ async def return_status_code_with_timeout(request: Request): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows") -def test_proxy_disconnect_metrics(metrics_start_shutdown): - """Test that disconnect metrics are reported correctly.""" +def test_proxy_disconnect_http_metrics(metrics_start_shutdown): + """Test that HTTP disconnect metrics are reported correctly.""" signal = SignalActor.remote() @@ -579,6 +579,31 @@ async def __call__(self, request: Request): conn.close() # Forcefully close the connection ray.get(signal.send.remote(clear=True)) + num_errors = get_metric_dictionaries("serve_num_http_error_requests") + assert len(num_errors) == 1 + assert num_errors[0]["route"] == "/disconnect" + assert num_errors[0]["error_code"] == "499" + assert num_errors[0]["method"] == "GET" + assert num_errors[0]["application"] == "disconnect" + + +def test_proxy_disconnect_grpc_metrics(metrics_start_shutdown): + """Test that gRPC disconnect metrics are reported correctly.""" + + signal = SignalActor.remote() + + @serve.deployment + class Disconnect: + async def __call__(self, request: Request): + await signal.wait.remote() + return + + serve.run( + Disconnect.bind(), + route_prefix="/disconnect", + name="disconnect", + ) + # make grpc call channel = grpc.insecure_channel("localhost:9000") stub = serve_pb2_grpc.UserDefinedServiceStub(channel) @@ -605,13 +630,6 @@ def make_request(): thread.join() ray.get(signal.send.remote(clear=True)) - num_errors = get_metric_dictionaries("serve_num_http_error_requests") - assert len(num_errors) == 1 - assert num_errors[0]["route"] == "/disconnect" - assert num_errors[0]["error_code"] == "499" - assert num_errors[0]["method"] == "GET" - assert num_errors[0]["application"] == "disconnect" - num_errors = get_metric_dictionaries("serve_num_grpc_error_requests") assert len(num_errors) == 1 assert num_errors[0]["route"] == "disconnect" From 1eec25d0ba1ece96afd829d904a469198ea56077 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 9 Jul 2025 17:57:08 -0700 Subject: [PATCH 0129/1566] [Serve] Add RouterConfig field to DeploymentConfig to configure RequestRouter (#53870) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- doc/source/serve/api/index.md | 1 + .../doc_code/custom_request_router_app.py | 25 +-- .../io/ray/serve/config/DeploymentConfig.java | 38 ++-- .../ray/serve/config/RequestRouterConfig.java | 38 ++++ .../prefix_aware}/prefix_aware_router.py | 54 ++++-- .../test_prefix_aware_request_router.py | 35 ++-- python/ray/serve/_private/config.py | 121 ++++++------- python/ray/serve/_private/deployment_state.py | 8 +- .../_private/request_router/request_router.py | 7 + python/ray/serve/_private/router.py | 12 +- python/ray/serve/_private/version.py | 7 + python/ray/serve/api.py | 35 +--- python/ray/serve/config.py | 169 ++++++++++++++++-- python/ray/serve/deployment.py | 30 +--- python/ray/serve/schema.py | 38 ++-- python/ray/serve/tests/test_api.py | 27 ++- python/ray/serve/tests/test_controller.py | 9 +- .../serve/tests/test_record_routing_stats.py | 5 +- python/ray/serve/tests/test_telemetry_2.py | 5 +- python/ray/serve/tests/unit/test_config.py | 33 +++- src/ray/protobuf/serve.proto | 36 ++-- 21 files changed, 487 insertions(+), 246 deletions(-) create mode 100644 java/serve/src/main/java/io/ray/serve/config/RequestRouterConfig.java rename python/ray/{serve/_private/request_router => llm/_internal/serve/request_router/prefix_aware}/prefix_aware_router.py (89%) diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index c63c1d95cf3b..52a67da52c9b 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -83,6 +83,7 @@ See the [model composition guide](serve-model-composition) for how to update cod serve.config.gRPCOptions serve.config.HTTPOptions serve.config.AutoscalingConfig + serve.config.RequestRouterConfig ``` ### Schemas diff --git a/doc/source/serve/doc_code/custom_request_router_app.py b/doc/source/serve/doc_code/custom_request_router_app.py index e88280f5d1bb..afabaa2d5711 100644 --- a/doc/source/serve/doc_code/custom_request_router_app.py +++ b/doc/source/serve/doc_code/custom_request_router_app.py @@ -2,12 +2,18 @@ # __begin_deploy_app_with_uniform_request_router__ from ray import serve -from ray.serve.context import _get_internal_replica_context from ray.serve.request_router import ReplicaID +import time +from collections import defaultdict +from ray.serve.context import _get_internal_replica_context +from typing import Any, Dict +from ray.serve.config import RequestRouterConfig @serve.deployment( - request_router_class="custom_request_router:UniformRequestRouter", + request_router_config=RequestRouterConfig( + request_router_class="custom_request_router:UniformRequestRouter", + ), num_replicas=10, ray_actor_options={"num_cpus": 0}, ) @@ -30,22 +36,17 @@ async def __call__(self): # __begin_deploy_app_with_throughput_aware_request_router__ -import time -from collections import defaultdict -from ray import serve -from ray.serve.context import _get_internal_replica_context -from typing import Any, Dict - - def _time_ms() -> int: return int(time.time() * 1000) @serve.deployment( - request_router_class="custom_request_router:ThroughputAwareRequestRouter", + request_router_config=RequestRouterConfig( + request_router_class="custom_request_router:ThroughputAwareRequestRouter", + request_routing_stats_period_s=1, + request_routing_stats_timeout_s=1, + ), num_replicas=3, - request_routing_stats_period_s=1, - request_routing_stats_timeout_s=1, ray_actor_options={"num_cpus": 0}, ) class ThroughputAwareRequestRouterApp: diff --git a/java/serve/src/main/java/io/ray/serve/config/DeploymentConfig.java b/java/serve/src/main/java/io/ray/serve/config/DeploymentConfig.java index 2a86cb2d3afc..50e5fa5297f3 100644 --- a/java/serve/src/main/java/io/ray/serve/config/DeploymentConfig.java +++ b/java/serve/src/main/java/io/ray/serve/config/DeploymentConfig.java @@ -52,17 +52,10 @@ public class DeploymentConfig implements Serializable { */ private Double healthCheckTimeoutS = Constants.DEFAULT_HEALTH_CHECK_TIMEOUT_S; - /** Frequency at which the controller will record request routing stats. */ - private Double requestRoutingStatsPeriodS = Constants.DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S; - - /** - * Timeout that the controller will wait for a response from the replica's request routing stats - * before retrying. - */ - private Double requestRoutingStatsTimeoutS = Constants.DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S; - private AutoscalingConfig autoscalingConfig; + private RequestRouterConfig routerConfig; + /** This flag is used to let replica know they are deplyed from a different language. */ private Boolean isCrossLanguage = false; @@ -150,23 +143,23 @@ public DeploymentConfig setHealthCheckTimeoutS(Double healthCheckTimeoutS) { } public Double getRequestRoutingStatsPeriodS() { - return requestRoutingStatsPeriodS; + return routerConfig.getRequestRoutingStatsPeriodS(); } public DeploymentConfig setRequestRoutingStatsPeriodS(Double requestRoutingStatsPeriodS) { if (requestRoutingStatsPeriodS != null) { - this.requestRoutingStatsPeriodS = requestRoutingStatsPeriodS; + routerConfig.setRequestRoutingStatsPeriodS(requestRoutingStatsPeriodS); } return this; } public Double getRequestRoutingStatsTimeoutS() { - return requestRoutingStatsTimeoutS; + return routerConfig.getRequestRoutingStatsTimeoutS(); } public DeploymentConfig setRequestRoutingStatsTimeoutS(Double requestRoutingStatsTimeoutS) { if (requestRoutingStatsTimeoutS != null) { - this.requestRoutingStatsTimeoutS = requestRoutingStatsTimeoutS; + routerConfig.setRequestRoutingStatsTimeoutS(requestRoutingStatsTimeoutS); } return this; } @@ -180,6 +173,15 @@ public DeploymentConfig setAutoscalingConfig(AutoscalingConfig autoscalingConfig return this; } + public RequestRouterConfig getRequestRouterConfig() { + return routerConfig; + } + + public DeploymentConfig setRequestRouterConfig(RequestRouterConfig routerConfig) { + this.routerConfig = routerConfig; + return this; + } + public boolean isCrossLanguage() { return isCrossLanguage; } @@ -230,8 +232,6 @@ public byte[] toProtoBytes() { .setGracefulShutdownTimeoutS(gracefulShutdownTimeoutS) .setHealthCheckPeriodS(healthCheckPeriodS) .setHealthCheckTimeoutS(healthCheckTimeoutS) - .setRequestRoutingStatsPeriodS(requestRoutingStatsPeriodS) - .setRequestRoutingStatsTimeoutS(requestRoutingStatsTimeoutS) .setIsCrossLanguage(isCrossLanguage) .setDeploymentLanguage(deploymentLanguage) .setVersion(version); @@ -241,6 +241,9 @@ public byte[] toProtoBytes() { if (null != autoscalingConfig) { builder.setAutoscalingConfig(autoscalingConfig.toProto()); } + if (null != routerConfig) { + builder.setRequestRouterConfig(routerConfig.toProto()); + } return builder.build().toByteArray(); } @@ -253,8 +256,6 @@ public io.ray.serve.generated.DeploymentConfig toProto() { .setGracefulShutdownTimeoutS(gracefulShutdownTimeoutS) .setHealthCheckPeriodS(healthCheckPeriodS) .setHealthCheckTimeoutS(healthCheckTimeoutS) - .setRequestRoutingStatsPeriodS(requestRoutingStatsPeriodS) - .setRequestRoutingStatsTimeoutS(requestRoutingStatsTimeoutS) .setIsCrossLanguage(isCrossLanguage) .setDeploymentLanguage(deploymentLanguage); if (null != userConfig) { @@ -263,6 +264,9 @@ public io.ray.serve.generated.DeploymentConfig toProto() { if (null != autoscalingConfig) { builder.setAutoscalingConfig(autoscalingConfig.toProto()); } + if (null != routerConfig) { + builder.setRequestRouterConfig(routerConfig.toProto()); + } return builder.build(); } diff --git a/java/serve/src/main/java/io/ray/serve/config/RequestRouterConfig.java b/java/serve/src/main/java/io/ray/serve/config/RequestRouterConfig.java new file mode 100644 index 000000000000..10a61d7543b4 --- /dev/null +++ b/java/serve/src/main/java/io/ray/serve/config/RequestRouterConfig.java @@ -0,0 +1,38 @@ +package io.ray.serve.config; + +import io.ray.serve.common.Constants; +import java.io.Serializable; + +public class RequestRouterConfig implements Serializable { + /** Frequency at which the controller will record request routing stats. */ + private Double requestRoutingStatsPeriodS = Constants.DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S; + + /** + * Timeout that the controller waits for a response from the replica's request routing stats + * before retrying. + */ + private Double requestRoutingStatsTimeoutS = Constants.DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S; + + public Double getRequestRoutingStatsPeriodS() { + return requestRoutingStatsPeriodS; + } + + public Double getRequestRoutingStatsTimeoutS() { + return requestRoutingStatsTimeoutS; + } + + public void setRequestRoutingStatsPeriodS(Double requestRoutingStatsPeriodS) { + this.requestRoutingStatsPeriodS = requestRoutingStatsPeriodS; + } + + public void setRequestRoutingStatsTimeoutS(Double requestRoutingStatsTimeoutS) { + this.requestRoutingStatsTimeoutS = requestRoutingStatsTimeoutS; + } + + public io.ray.serve.generated.RequestRouterConfig toProto() { + return io.ray.serve.generated.RequestRouterConfig.newBuilder() + .setRequestRoutingStatsPeriodS(requestRoutingStatsPeriodS) + .setRequestRoutingStatsTimeoutS(requestRoutingStatsTimeoutS) + .build(); + } +} diff --git a/python/ray/serve/_private/request_router/prefix_aware_router.py b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py similarity index 89% rename from python/ray/serve/_private/request_router/prefix_aware_router.py rename to python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py index cbc7b362bb34..5c6e8b28d504 100644 --- a/python/ray/serve/_private/request_router/prefix_aware_router.py +++ b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py @@ -7,6 +7,7 @@ ) import ray +from ray.actor import ActorHandle from ray.llm._internal.serve.request_router.prefix_aware.prefix_tree import ( PrefixTreeActor, ) @@ -52,27 +53,36 @@ class PrefixAwarePow2ReplicaRouter(LocalityMixin, MultiplexMixin, RequestRouter) increasing cache locality and reducing overhead for language model inference. """ - def __init__( + def initialize_state( self, - *args, - imbalanced_threshold=10, - match_rate_threshold=0.1, - do_eviction=False, - eviction_threshold_chars=400_000, - eviction_target_chars=360_000, - eviction_interval_secs=10, - tree_actor=None, - **kwargs, + imbalanced_threshold: Optional[int] = 10, + match_rate_threshold: Optional[float] = 0.1, + do_eviction: Optional[bool] = False, + eviction_threshold_chars: Optional[int] = 400_000, + eviction_target_chars: Optional[int] = 360_000, + eviction_interval_secs: Optional[int] = 10, + tree_actor: Optional[ActorHandle] = None, ): - super().__init__(*args, **kwargs) - if tree_actor is None: - # Use a detached actor to avoid issues with actor lifetime since this is shared between routers - self._tree_actor = PrefixTreeActor.options( - name="LlmPrefixTreeActor", get_if_exists=True, lifetime="detached" - ).remote() - else: - self._tree_actor = tree_actor + """Initialize the prefix-aware routing state and configuration. + Args: + imbalanced_threshold: Threshold for queue length difference to consider + load balanced. When the difference between replica queue lengths is + less than this value, prefix-aware routing is used. + match_rate_threshold: Minimum prefix match rate (0.0-1.0) required to + use prefix-aware routing. If match rate is below this threshold, + falls back to smallest tenant selection. + do_eviction: Whether to enable automatic eviction of old prefix tree + entries to manage memory usage. + eviction_threshold_chars: Maximum number of characters in the prefix + tree before eviction is triggered. + eviction_target_chars: Target number of characters to reduce the + prefix tree to during eviction. + eviction_interval_secs: Interval in seconds between eviction checks + when eviction is enabled. + tree_actor: The actor to use for the prefix tree in a test environment. + If None, a detached actor will be created/retrieved. + """ # === Prefix-aware routing logic hyperparameters === self._imbalanced_threshold = imbalanced_threshold self._match_rate_threshold = match_rate_threshold @@ -89,6 +99,14 @@ def __init__( ) self._eviction_interval_secs = eviction_interval_secs + if tree_actor is None: + # Use a detached actor to avoid issues with actor lifetime since this is shared between routers + self._tree_actor = PrefixTreeActor.options( + name="LlmPrefixTreeActor", get_if_exists=True, lifetime="detached" + ).remote() + else: + self._tree_actor = tree_actor + def _extract_text_from_request(self, pending_request: PendingRequest) -> str: """Extracts the text content from a pending request for prefix matching. diff --git a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py index 4ecd45f0dceb..e65efe879cc9 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py +++ b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py @@ -5,6 +5,9 @@ import ray from ray._common.utils import get_or_create_event_loop +from ray.llm._internal.serve.request_router.prefix_aware.prefix_aware_router import ( + PrefixAwarePow2ReplicaRouter, +) from ray.llm._internal.serve.request_router.prefix_aware.prefix_tree import ( PrefixTreeActor, ) @@ -14,9 +17,6 @@ RequestMetadata, ) from ray.serve._private.request_router.common import PendingRequest -from ray.serve._private.request_router.prefix_aware_router import ( - PrefixAwarePow2ReplicaRouter, -) from ray.serve._private.test_utils import MockTimer from ray.serve._private.utils import generate_request_id from ray.serve.tests.unit.test_pow_2_request_router import ( @@ -48,20 +48,22 @@ async def construct_request_router(loop: asyncio.AbstractEventLoop): deployment_id=DeploymentID(name="TEST_DEPLOYMENT"), handle_source=DeploymentHandleSource.REPLICA, use_replica_queue_len_cache=False, - imbalanced_threshold=params.get("imbalanced_threshold", 10), - match_rate_threshold=params.get("match_rate_threshold", 0.1), - do_eviction=params.get("do_eviction", False), - eviction_threshold_chars=params.get("eviction_threshold_chars"), - eviction_target_chars=params.get("eviction_target_chars"), - eviction_interval_secs=params.get("eviction_interval_secs"), get_curr_time_s=TIMER.time, - tree_actor=tree_actor, ) return request_router request_router = asyncio.new_event_loop().run_until_complete( construct_request_router(get_or_create_event_loop()) ) + request_router.initialize_state( + imbalanced_threshold=params.get("imbalanced_threshold", 10), + match_rate_threshold=params.get("match_rate_threshold", 0.1), + do_eviction=params.get("do_eviction", False), + eviction_threshold_chars=params.get("eviction_threshold_chars"), + eviction_target_chars=params.get("eviction_target_chars"), + eviction_interval_secs=params.get("eviction_interval_secs"), + tree_actor=tree_actor, + ) yield request_router assert request_router.curr_num_routing_tasks == 0 @@ -124,7 +126,7 @@ async def test_fallback_when_no_prompt(self, prefix_request_router): req = fake_pending_request() for _ in range(10): - chosen = await prefix_request_router.choose_replica_for_request(req) + chosen = await prefix_request_router._choose_replica_for_request(req) assert chosen == r1 @pytest.mark.asyncio @@ -161,7 +163,7 @@ async def test_fallback_when_imbalanced(self, prefix_request_router): req = fake_pending_request(prompt="hello world") for _ in range(10): - chosen = await prefix_request_router.choose_replica_for_request(req) + chosen = await prefix_request_router._choose_replica_for_request(req) # Even though r2 has a higher match rate, it is not chosen because the load is imbalanced assert chosen == r1 @@ -199,13 +201,13 @@ async def test_high_match_rate_selects_matching_replica( prompt_req = fake_pending_request(prompt="Hello world") for _ in range(10): - chosen = await prefix_request_router.choose_replica_for_request(prompt_req) + chosen = await prefix_request_router._choose_replica_for_request(prompt_req) assert chosen == r2 chat_req = fake_pending_request( messages=[{"content": "Hello"}, {"content": " world"}] ) for _ in range(10): - chosen = await prefix_request_router.choose_replica_for_request(chat_req) + chosen = await prefix_request_router._choose_replica_for_request(chat_req) assert chosen == r2 @pytest.mark.asyncio @@ -240,14 +242,15 @@ async def test_low_match_rate_uses_smallest_tree(self, prefix_request_router): for _ in range(10): # Both tenants have 0% match rate, so the smaller tenant (r1) is chosen assert ( - await prefix_request_router.choose_replica_for_request(prompt_req) == r1 + await prefix_request_router._choose_replica_for_request(prompt_req) + == r1 ) chat_req = fake_pending_request(messages=[{"content": "z"}]) for _ in range(10): # Both tenants have 0% match rate, so the smaller tenant (r1) is chosen assert ( - await prefix_request_router.choose_replica_for_request(chat_req) == r1 + await prefix_request_router._choose_replica_for_request(chat_req) == r1 ) diff --git a/python/ray/serve/_private/config.py b/python/ray/serve/_private/config.py index 6a5ed3655b7f..3293f5557ee4 100644 --- a/python/ray/serve/_private/config.py +++ b/python/ray/serve/_private/config.py @@ -13,10 +13,9 @@ NonNegativeInt, PositiveFloat, PositiveInt, - root_validator, validator, ) -from ray._common.utils import import_attr, resources_from_ray_options +from ray._common.utils import resources_from_ray_options from ray._private import ray_option_utils from ray._private.serialization import pickle_dumps from ray.serve._private.constants import ( @@ -25,13 +24,10 @@ DEFAULT_HEALTH_CHECK_PERIOD_S, DEFAULT_HEALTH_CHECK_TIMEOUT_S, DEFAULT_MAX_ONGOING_REQUESTS, - DEFAULT_REQUEST_ROUTER_PATH, - DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S, - DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S, MAX_REPLICAS_PER_NODE_MAX_VALUE, ) from ray.serve._private.utils import DEFAULT, DeploymentOptionUpdateType -from ray.serve.config import AutoscalingConfig +from ray.serve.config import AutoscalingConfig, RequestRouterConfig from ray.serve.generated.serve_pb2 import ( AutoscalingConfig as AutoscalingConfigProto, DeploymentConfig as DeploymentConfigProto, @@ -39,6 +35,7 @@ EncodingType as EncodingTypeProto, LoggingConfig as LoggingConfigProto, ReplicaConfig as ReplicaConfigProto, + RequestRouterConfig as RequestRouterConfigProto, ) from ray.util.placement_group import validate_placement_group @@ -121,14 +118,11 @@ class DeploymentConfig(BaseModel): health_check_timeout_s: Timeout that the controller waits for a response from the replica's health check before marking it unhealthy. - request_routing_stats_period_s: Frequency at which the controller - record request routing stats. - request_routing_stats_timeout_s: Timeout that the controller waits - for a response from the replica's record routing stats call. autoscaling_config: Autoscaling configuration. logging_config: Configuration for deployment logs. user_configured_option_names: The names of options manually configured by the user. + request_router_config: Configuration for deployment request router. """ num_replicas: Optional[NonNegativeInt] = Field( @@ -163,19 +157,16 @@ class DeploymentConfig(BaseModel): default=DEFAULT_HEALTH_CHECK_TIMEOUT_S, update_type=DeploymentOptionUpdateType.NeedsReconfigure, ) - request_routing_stats_period_s: PositiveFloat = Field( - default=DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S, - update_type=DeploymentOptionUpdateType.NeedsReconfigure, - ) - request_routing_stats_timeout_s: PositiveFloat = Field( - default=DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S, - update_type=DeploymentOptionUpdateType.NeedsReconfigure, - ) autoscaling_config: Optional[AutoscalingConfig] = Field( default=None, update_type=DeploymentOptionUpdateType.NeedsActorReconfigure ) + request_router_config: RequestRouterConfig = Field( + default=RequestRouterConfig(), + update_type=DeploymentOptionUpdateType.NeedsActorReconfigure, + ) + # This flag is used to let replica know they are deployed from # a different language. is_cross_language: bool = False @@ -197,14 +188,6 @@ class DeploymentConfig(BaseModel): # Contains the names of deployment options manually set by the user user_configured_option_names: Set[str] = set() - # Cloudpickled request router class. - serialized_request_router_cls: bytes = Field(default=b"") - - # Custom request router config. Defaults to the power of two request router. - request_router_class: Union[str, Callable] = Field( - default=DEFAULT_REQUEST_ROUTER_PATH - ) - class Config: validate_assignment = True arbitrary_types_allowed = True @@ -248,33 +231,6 @@ def validate_max_queued_requests(cls, v): return v - @root_validator - def import_and_serialize_request_router_cls(cls, values) -> Dict[str, Any]: - """Import and serialize request router class with cloudpickle. - - Import the request router if it's passed in as a string import path. - Then cloudpickle the request router and set to - `serialized_request_router_cls`. - """ - request_router_class = values.get("request_router_class") - if isinstance(request_router_class, Callable): - request_router_class = ( - f"{request_router_class.__module__}.{request_router_class.__name__}" - ) - - request_router_path = request_router_class or DEFAULT_REQUEST_ROUTER_PATH - request_router_class = import_attr(request_router_path) - - values["serialized_request_router_cls"] = cloudpickle.dumps( - request_router_class - ) - values["request_router_class"] = request_router_path - return values - - def get_request_router_class(self) -> Callable: - """Deserialize request router from cloudpickled bytes.""" - return cloudpickle.loads(self.serialized_request_router_cls) - def needs_pickle(self): return _needs_pickle(self.deployment_language, self.is_cross_language) @@ -287,12 +243,29 @@ def to_proto(self): data["autoscaling_config"] = AutoscalingConfigProto( **data["autoscaling_config"] ) + if data.get("request_router_config"): + router_kwargs = data["request_router_config"].get("request_router_kwargs") + if router_kwargs is not None: + if not router_kwargs: + data["request_router_config"]["request_router_kwargs"] = b"" + elif self.needs_pickle(): + # Protobuf requires bytes, so we need to pickle + data["request_router_config"][ + "request_router_kwargs" + ] = cloudpickle.dumps(router_kwargs) + else: + raise ValueError( + "Non-empty request_router_kwargs not supported" + f"for cross-language deployments. Got: {router_kwargs}" + ) + data["request_router_config"] = RequestRouterConfigProto( + **data["request_router_config"] + ) if data.get("logging_config"): if "encoding" in data["logging_config"]: data["logging_config"]["encoding"] = EncodingTypeProto.Value( data["logging_config"]["encoding"] ) - data["logging_config"] = LoggingConfigProto(**data["logging_config"]) data["user_configured_option_names"] = list( data["user_configured_option_names"] @@ -305,23 +278,45 @@ def to_proto_bytes(self): @classmethod def from_proto(cls, proto: DeploymentConfigProto): data = _proto_to_dict(proto) + deployment_language = ( + data["deployment_language"] + if "deployment_language" in data + else DeploymentLanguage.PYTHON + ) + is_cross_language = ( + data["is_cross_language"] if "is_cross_language" in data else False + ) + needs_pickle = _needs_pickle(deployment_language, is_cross_language) if "user_config" in data: if data["user_config"] != b"": - deployment_language = ( - data["deployment_language"] - if "deployment_language" in data - else DeploymentLanguage.PYTHON - ) - is_cross_language = ( - data["is_cross_language"] if "is_cross_language" in data else False - ) - needs_pickle = _needs_pickle(deployment_language, is_cross_language) if needs_pickle: data["user_config"] = cloudpickle.loads(proto.user_config) else: data["user_config"] = proto.user_config else: data["user_config"] = None + if "request_router_config" in data: + if "request_router_kwargs" in data["request_router_config"]: + request_router_kwargs = data["request_router_config"][ + "request_router_kwargs" + ] + if request_router_kwargs != b"": + if needs_pickle: + data["request_router_config"][ + "request_router_kwargs" + ] = cloudpickle.loads( + proto.request_router_config.request_router_kwargs + ) + else: + data["request_router_config"][ + "request_router_kwargs" + ] = proto.request_router_config.request_router_kwargs + else: + data["request_router_config"]["request_router_kwargs"] = {} + + data["request_router_config"] = RequestRouterConfig( + **data["request_router_config"] + ) if "autoscaling_config" in data: if not data["autoscaling_config"].get("upscale_smoothing_factor"): data["autoscaling_config"]["upscale_smoothing_factor"] = None diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 1d5cdbe07630..d30c5ccee6fa 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -359,11 +359,15 @@ def health_check_timeout_s(self) -> float: @property def request_routing_stats_period_s(self) -> float: - return self.deployment_config.request_routing_stats_period_s + return ( + self.deployment_config.request_router_config.request_routing_stats_period_s + ) @property def request_routing_stats_timeout_s(self) -> float: - return self.deployment_config.request_routing_stats_timeout_s + return ( + self.deployment_config.request_router_config.request_routing_stats_timeout_s + ) @property def pid(self) -> Optional[int]: diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index 4b10a37537d0..ebfc2bc6a181 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -534,6 +534,13 @@ def __init__( ) self.num_routing_tasks_in_backoff_gauge.set(self.num_routing_tasks_in_backoff) + def initialize_state(self, **kwargs): + """ + Initialize the state of the request router. Called by the Ray Serve framework with the + contents of `RequestRouter.request_router_kwargs`. + """ + pass + @property def _event_loop(self) -> asyncio.AbstractEventLoop: if self._lazily_fetched_loop is None: diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 32d10c8549eb..032fa9744958 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -377,6 +377,7 @@ def __init__( prefer_local_node_routing: bool, resolve_request_arg_func: Coroutine = resolve_deployment_response, request_router_class: Optional[Callable] = None, + request_router_kwargs: Optional[Dict[str, Any]] = None, request_router: Optional[RequestRouter] = None, _request_router_initialized_event: Optional[asyncio.Event] = None, ): @@ -391,6 +392,9 @@ def __init__( self._handle_source = handle_source self._event_loop = event_loop self._request_router_class = request_router_class + self._request_router_kwargs = ( + request_router_kwargs if request_router_kwargs else {} + ) self._enable_strict_max_ongoing_requests = enable_strict_max_ongoing_requests self._node_id = node_id self._availability_zone = availability_zone @@ -503,6 +507,7 @@ def request_router(self) -> Optional[RequestRouter]: prefer_local_az_routing=RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING, self_availability_zone=self._availability_zone, ) + request_router.initialize_state(**(self._request_router_kwargs)) # Populate the running replicas if they are already available. if self._running_replicas is not None: @@ -537,7 +542,12 @@ def update_deployment_targets(self, deployment_target_info: DeploymentTargetInfo self._running_replicas_populated = True def update_deployment_config(self, deployment_config: DeploymentConfig): - self._request_router_class = deployment_config.get_request_router_class() + self._request_router_class = ( + deployment_config.request_router_config.get_request_router_class() + ) + self._request_router_kwargs = ( + deployment_config.request_router_config.request_router_kwargs + ) self._metrics_manager.update_deployment_config( deployment_config, curr_num_replicas=len(self.request_router.curr_replicas), diff --git a/python/ray/serve/_private/version.py b/python/ray/serve/_private/version.py index 1068d5b71cb2..9242dfc928e9 100644 --- a/python/ray/serve/_private/version.py +++ b/python/ray/serve/_private/version.py @@ -186,6 +186,13 @@ def _get_serialized_options( elif isinstance(reconfigure_dict[option_name], BaseModel): reconfigure_dict[option_name] = reconfigure_dict[option_name].dict() + # Can't serialize bytes. The request router class is already + # included in the serialized config as request_router_class. + if "request_router_config" in reconfigure_dict: + reconfigure_dict["request_router_config"].pop( + "_serialized_request_router_cls", None + ) + if ( isinstance(self.deployment_config.user_config, bytes) and "user_config" in reconfigure_dict diff --git a/python/ray/serve/api.py b/python/ray/serve/api.py index aea80fe88ce6..865d5cedbba1 100644 --- a/python/ray/serve/api.py +++ b/python/ray/serve/api.py @@ -28,7 +28,6 @@ ) from ray.serve._private.local_testing_mode import make_local_deployment_handle from ray.serve._private.logging_utils import configure_component_logger -from ray.serve._private.request_router.request_router import RequestRouter from ray.serve._private.usage import ServeUsageTag from ray.serve._private.utils import ( DEFAULT, @@ -43,6 +42,7 @@ DeploymentMode, HTTPOptions, ProxyLocation, + RequestRouterConfig, gRPCOptions, ) from ray.serve.context import ( @@ -55,11 +55,7 @@ from ray.serve.exceptions import RayServeException from ray.serve.handle import DeploymentHandle from ray.serve.multiplex import _ModelMultiplexWrapper -from ray.serve.schema import ( - LoggingConfig, - ServeInstanceDetails, - ServeStatus, -) +from ray.serve.schema import LoggingConfig, ServeInstanceDetails, ServeStatus from ray.util.annotations import DeveloperAPI, PublicAPI from ray.serve._private import api as _private_api # isort:skip @@ -338,9 +334,9 @@ def deployment( health_check_period_s: Default[float] = DEFAULT.VALUE, health_check_timeout_s: Default[float] = DEFAULT.VALUE, logging_config: Default[Union[Dict, LoggingConfig, None]] = DEFAULT.VALUE, - request_router_class: Default[Union[str, RequestRouter, None]] = DEFAULT.VALUE, - request_routing_stats_period_s: Default[float] = DEFAULT.VALUE, - request_routing_stats_timeout_s: Default[float] = DEFAULT.VALUE, + request_router_config: Default[ + Union[Dict, RequestRouterConfig, None] + ] = DEFAULT.VALUE, ) -> Callable[[Callable], Deployment]: """Decorator that converts a Python class to a `Deployment`. @@ -405,20 +401,7 @@ class MyDeployment: check method to return before considering it as failed. Defaults to 30s. logging_config: Logging config options for the deployment. If provided, the config will be used to set up the Serve logger on the deployment. - request_router_class: The class of the request router used for this - deployment. This can be a string or a class. All the deployment - handle created for this deployment will use the routing policy - defined by the request router. Default to Serve's - PowerOfTwoChoicesRequestRouter. - request_routing_stats_period_s: Duration between record scheduling stats - calls for the replica. Defaults to 10s. The health check is by default a - no-op Actor call to the replica, but you can define your own request - scheduling stats using the "record_scheduling_stats" method in your - deployment. - request_routing_stats_timeout_s: Duration in seconds, that replicas wait for - a request scheduling stats method to return before considering it as failed. - Defaults to 30s. - + request_router_config: Config for the request router used for this deployment. Returns: `Deployment` """ @@ -483,14 +466,10 @@ class MyDeployment: health_check_period_s=health_check_period_s, health_check_timeout_s=health_check_timeout_s, logging_config=logging_config, - request_routing_stats_period_s=request_routing_stats_period_s, - request_routing_stats_timeout_s=request_routing_stats_timeout_s, + request_router_config=request_router_config, ) deployment_config.user_configured_option_names = set(user_configured_option_names) - if request_router_class is not DEFAULT.VALUE: - deployment_config.request_router_class = request_router_class - def decorator(_func_or_class): replica_config = ReplicaConfig.create( _func_or_class, diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index c19b537de72a..1386a99b48f4 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -1,7 +1,8 @@ +import json import logging import warnings from enum import Enum -from typing import Any, Callable, List, Optional, Union +from typing import Any, Callable, Dict, List, Optional, Union from ray import cloudpickle from ray._common.pydantic_compat import ( @@ -20,6 +21,9 @@ DEFAULT_GRPC_PORT, DEFAULT_HTTP_HOST, DEFAULT_HTTP_PORT, + DEFAULT_REQUEST_ROUTER_PATH, + DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S, + DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S, DEFAULT_TARGET_ONGOING_REQUESTS, DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_LOGGER_NAME, @@ -29,6 +33,132 @@ logger = logging.getLogger(SERVE_LOGGER_NAME) +@PublicAPI(stability="alpha") +class RequestRouterConfig(BaseModel): + """Config for the Serve request router. + + This class configures how Ray Serve routes requests to deployment replicas. The router is + responsible for selecting which replica should handle each incoming request based on the + configured routing policy. You can customize the routing behavior by specifying a custom + request router class and providing configuration parameters. + + The router also manages periodic health checks and scheduling statistics collection from + replicas to make informed routing decisions. + + Example: + .. code-block:: python + + from ray.serve.config import RequestRouterConfig, DeploymentConfig + from ray import serve + + # Use default router with custom stats collection interval + request_router_config = RequestRouterConfig( + request_routing_stats_period_s=5.0, + request_routing_stats_timeout_s=15.0 + ) + + # Use custom router class + request_router_config = RequestRouterConfig( + request_router_class="ray.llm._internal.serve.request_router.prefix_aware.prefix_aware_router.PrefixAwarePow2ReplicaRouter", + request_router_kwargs={"imbalanced_threshold": 20} + ) + deployment_config = DeploymentConfig( + request_router_config=request_router_config + ) + deployment = serve.deploy( + "my_deployment", + deployment_config=deployment_config + ) + """ + + _serialized_request_router_cls: bytes = PrivateAttr(default=b"") + + request_router_class: Union[str, Callable] = Field( + default=DEFAULT_REQUEST_ROUTER_PATH, + description=( + "The class of the request router that Ray Serve uses for this deployment. This value can be " + "a string or a class. All the deployment handles that you create for this " + "deployment use the routing policy defined by the request router. " + "Default to Serve's PowerOfTwoChoicesRequestRouter." + ), + ) + request_router_kwargs: Dict[str, Any] = Field( + default_factory=dict, + description=( + "Keyword arguments that Ray Serve passes to the request router class " + "initialize_state method." + ), + ) + + request_routing_stats_period_s: PositiveFloat = Field( + default=DEFAULT_REQUEST_ROUTING_STATS_PERIOD_S, + description=( + "Duration between record scheduling stats calls for the replica. " + "Defaults to 10s. The health check is by default a no-op Actor call " + "to the replica, but you can define your own request scheduling stats " + "using the 'record_scheduling_stats' method in your deployment." + ), + ) + + request_routing_stats_timeout_s: PositiveFloat = Field( + default=DEFAULT_REQUEST_ROUTING_STATS_TIMEOUT_S, + description=( + "Duration in seconds, that replicas wait for a request scheduling " + "stats method to return before considering it as failed. Defaults to 30s." + ), + ) + + @validator("request_router_kwargs", always=True) + def request_router_kwargs_json_serializable(cls, v): + if isinstance(v, bytes): + return v + if v is not None: + try: + json.dumps(v) + except TypeError as e: + raise ValueError( + f"request_router_kwargs is not JSON-serializable: {str(e)}." + ) + + return v + + def __init__(self, **kwargs: dict[str, Any]): + """Initialize RequestRouterConfig with the given parameters. + + Needed to serialize the request router class since validators are not called + for attributes that begin with an underscore. + + Args: + **kwargs: Keyword arguments to pass to BaseModel. + """ + super().__init__(**kwargs) + self._serialize_request_router_cls() + + def _serialize_request_router_cls(self) -> None: + """Import and serialize request router class with cloudpickle. + + Import the request router if you pass it in as a string import path. + Then cloudpickle the request router and set to + `_serialized_request_router_cls`. + """ + request_router_class = self.request_router_class + if isinstance(request_router_class, Callable): + request_router_class = ( + f"{request_router_class.__module__}.{request_router_class.__name__}" + ) + + request_router_path = request_router_class or DEFAULT_REQUEST_ROUTER_PATH + request_router_class = import_attr(request_router_path) + + self._serialized_request_router_cls = cloudpickle.dumps(request_router_class) + # Update the request_router_class field to be the string path + self.request_router_class = request_router_path + + def get_request_router_class(self) -> Callable: + """Deserialize the request router from cloudpickled bytes.""" + return cloudpickle.loads(self._serialized_request_router_cls) + + @PublicAPI(stability="stable") class AutoscalingConfig(BaseModel): """Config for the Serve Autoscaler.""" @@ -43,13 +173,17 @@ class AutoscalingConfig(BaseModel): target_ongoing_requests: PositiveFloat = DEFAULT_TARGET_ONGOING_REQUESTS - # How often to scrape for metrics - metrics_interval_s: PositiveFloat = 10.0 - # Time window to average over for metrics. - look_back_period_s: PositiveFloat = 30.0 + metrics_interval_s: PositiveFloat = Field( + default=10.0, description="How often to scrape for metrics." + ) + look_back_period_s: PositiveFloat = Field( + default=30.0, description="Time window to average over for metrics." + ) - # DEPRECATED - smoothing_factor: PositiveFloat = 1.0 + smoothing_factor: PositiveFloat = Field( + default=1.0, + description="[DEPRECATED] Smoothing factor for autoscaling decisions.", + ) # DEPRECATED: replaced by `downscaling_factor` upscale_smoothing_factor: Optional[PositiveFloat] = Field( default=None, description="[DEPRECATED] Please use `upscaling_factor` instead." @@ -60,16 +194,23 @@ class AutoscalingConfig(BaseModel): description="[DEPRECATED] Please use `downscaling_factor` instead.", ) - # Multiplicative "gain" factor to limit scaling decisions - upscaling_factor: Optional[PositiveFloat] = None - downscaling_factor: Optional[PositiveFloat] = None + upscaling_factor: Optional[PositiveFloat] = Field( + default=None, + description='Multiplicative "gain" factor to limit upscaling decisions.', + ) + downscaling_factor: Optional[PositiveFloat] = Field( + default=None, + description='Multiplicative "gain" factor to limit downscaling decisions.', + ) # How frequently to make autoscaling decisions # loop_period_s: float = CONTROL_LOOP_PERIOD_S - # How long to wait before scaling down replicas - downscale_delay_s: NonNegativeFloat = 600.0 - # How long to wait before scaling up replicas - upscale_delay_s: NonNegativeFloat = 30.0 + downscale_delay_s: NonNegativeFloat = Field( + default=600.0, description="How long to wait before scaling down replicas." + ) + upscale_delay_s: NonNegativeFloat = Field( + default=30.0, description="How long to wait before scaling up replicas." + ) # Cloudpickled policy definition. _serialized_policy_def: bytes = PrivateAttr(default=b"") diff --git a/python/ray/serve/deployment.py b/python/ray/serve/deployment.py index 68139f5b5bb4..5487ad4d0afc 100644 --- a/python/ray/serve/deployment.py +++ b/python/ray/serve/deployment.py @@ -7,10 +7,10 @@ from ray.serve._private.config import ( DeploymentConfig, ReplicaConfig, + RequestRouterConfig, handle_num_replicas_auto, ) from ray.serve._private.constants import SERVE_LOGGER_NAME -from ray.serve._private.request_router.request_router import RequestRouter from ray.serve._private.usage import ServeUsageTag from ray.serve._private.utils import DEFAULT, Default from ray.serve.config import AutoscalingConfig @@ -237,9 +237,9 @@ def options( health_check_period_s: Default[float] = DEFAULT.VALUE, health_check_timeout_s: Default[float] = DEFAULT.VALUE, logging_config: Default[Union[Dict, LoggingConfig, None]] = DEFAULT.VALUE, - request_router_class: Default[Union[str, RequestRouter, None]] = DEFAULT.VALUE, - request_routing_stats_period_s: Default[float] = DEFAULT.VALUE, - request_routing_stats_timeout_s: Default[float] = DEFAULT.VALUE, + request_router_config: Default[ + Union[Dict, RequestRouterConfig, None] + ] = DEFAULT.VALUE, _init_args: Default[Tuple[Any]] = DEFAULT.VALUE, _init_kwargs: Default[Dict[Any, Any]] = DEFAULT.VALUE, _internal: bool = False, @@ -351,6 +351,9 @@ def options( if autoscaling_config is not DEFAULT.VALUE: new_deployment_config.autoscaling_config = autoscaling_config + if request_router_config is not DEFAULT.VALUE: + new_deployment_config.request_router_config = request_router_config + if graceful_shutdown_wait_loop_s is not DEFAULT.VALUE: new_deployment_config.graceful_shutdown_wait_loop_s = ( graceful_shutdown_wait_loop_s @@ -372,19 +375,6 @@ def options( logging_config = logging_config.dict() new_deployment_config.logging_config = logging_config - if request_router_class is not DEFAULT.VALUE: - new_deployment_config.request_router_class = request_router_class - - if request_routing_stats_period_s is not DEFAULT.VALUE: - new_deployment_config.request_routing_stats_period_s = ( - request_routing_stats_period_s - ) - - if request_routing_stats_timeout_s is not DEFAULT.VALUE: - new_deployment_config.request_routing_stats_timeout_s = ( - request_routing_stats_timeout_s - ) - new_replica_config = ReplicaConfig.create( func_or_class, init_args=_init_args, @@ -453,8 +443,7 @@ def deployment_to_schema(d: Deployment) -> DeploymentSchema: "placement_group_bundles": d._replica_config.placement_group_bundles, "max_replicas_per_node": d._replica_config.max_replicas_per_node, "logging_config": d._deployment_config.logging_config, - "request_routing_stats_period_s": d._deployment_config.request_routing_stats_period_s, - "request_routing_stats_timeout_s": d._deployment_config.request_routing_stats_timeout_s, + "request_router_config": d._deployment_config.request_router_config, } # Let non-user-configured options be set to defaults. If the schema @@ -515,8 +504,7 @@ def schema_to_deployment(s: DeploymentSchema) -> Deployment: health_check_period_s=s.health_check_period_s, health_check_timeout_s=s.health_check_timeout_s, logging_config=s.logging_config, - request_routing_stats_period_s=s.request_routing_stats_period_s, - request_routing_stats_timeout_s=s.request_routing_stats_timeout_s, + request_router_config=s.request_router_config, ) deployment_config.user_configured_option_names = ( s._get_user_configured_option_names() diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 80904f875765..607097fee8a7 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -33,7 +33,7 @@ ) from ray.serve._private.deployment_info import DeploymentInfo from ray.serve._private.utils import DEFAULT -from ray.serve.config import ProxyLocation +from ray.serve.config import ProxyLocation, RequestRouterConfig from ray.util.annotations import PublicAPI # Shared amongst multiple schemas. @@ -405,25 +405,9 @@ class DeploymentSchema(BaseModel, allow_population_by_field_name=True): default=DEFAULT.VALUE, description="Logging config for configuring serve deployment logs.", ) - request_router_class: str = Field( + request_router_config: Union[Dict, RequestRouterConfig] = Field( default=DEFAULT.VALUE, - description="The path pointing to the custom request router class to use for this deployment.", - ) - request_routing_stats_period_s: float = Field( - default=DEFAULT.VALUE, - description=( - "Frequency at which the controller will record routing stats " - "replicas. Uses a default if null." - ), - gt=0, - ) - request_routing_stats_timeout_s: float = Field( - default=DEFAULT.VALUE, - description=( - "Timeout that the controller will wait for a response " - "from the replica's record routing stats. Uses a default if null." - ), - gt=0, + description="Config for the request router used for this deployment.", ) @root_validator @@ -503,9 +487,7 @@ def _deployment_info_to_schema(name: str, info: DeploymentInfo) -> DeploymentSch health_check_period_s=info.deployment_config.health_check_period_s, health_check_timeout_s=info.deployment_config.health_check_timeout_s, ray_actor_options=info.replica_config.ray_actor_options, - request_router_class=info.deployment_config.request_router_class, - request_routing_stats_period_s=info.deployment_config.request_routing_stats_period_s, - request_routing_stats_timeout_s=info.deployment_config.request_routing_stats_timeout_s, + request_router_config=info.deployment_config.request_router_config, ) if info.deployment_config.autoscaling_config is not None: @@ -1203,15 +1185,17 @@ def _get_user_facing_json_serializable_dict( """Generates json serializable dictionary with user facing data.""" values = super().dict(*args, **kwargs) - # `serialized_policy_def` and `serialized_request_router_cls` are only used + # `serialized_policy_def` and internal router config fields are only used # internally and should not be exposed to the REST api. This method iteratively - # removes them from each deployment and autoscaling config if exists. + # removes them from each deployment config if exists. for app_name, application in values["applications"].items(): for deployment_name, deployment in application["deployments"].items(): if "deployment_config" in deployment: - deployment["deployment_config"].pop( - "serialized_request_router_cls", None - ) + # Remove internal fields from request_router_config if it exists + if "request_router_config" in deployment["deployment_config"]: + deployment["deployment_config"]["request_router_config"].pop( + "_serialized_request_router_cls", None + ) if "autoscaling_config" in deployment["deployment_config"]: deployment["deployment_config"]["autoscaling_config"].pop( "_serialized_policy_def", None diff --git a/python/ray/serve/tests/test_api.py b/python/ray/serve/tests/test_api.py index 35e671183f20..c74ee0467190 100644 --- a/python/ray/serve/tests/test_api.py +++ b/python/ray/serve/tests/test_api.py @@ -28,6 +28,7 @@ RequestRouter, ) from ray.serve._private.test_utils import get_application_url +from ray.serve.config import RequestRouterConfig from ray.serve.deployment import Application from ray.serve.exceptions import RayServeException from ray.serve.handle import DeploymentHandle @@ -80,8 +81,14 @@ async def choose_replicas( ) -> List[List[RunningReplica]]: return [candidate_replicas] + def initialize_state(self, test_parameter: int = 0): + print("Called initialize_state in FakeRequestRouter") + self.test_parameter = test_parameter -@serve.deployment(request_router_class=FakeRequestRouter) + +@serve.deployment( + request_router_config=RequestRouterConfig(request_router_class=FakeRequestRouter) +) class AppWithCustomRequestRouter: def __call__(self) -> str: return "Hello, world!" @@ -1112,6 +1119,24 @@ def test_deploy_app_with_custom_request_router(serve_instance): assert handle.remote().result() == "Hello, world!" +@serve.deployment( + request_router_config=RequestRouterConfig( + request_router_class="ray.serve.tests.test_api.FakeRequestRouter", + request_router_kwargs=dict(test_parameter=4848), + ) +) +class AppWithCustomRequestRouterAndKwargs: + def __call__(self) -> str: + return "Hello, world!" + + +def test_custom_request_router_kwargs(serve_instance): + """Check that custom kwargs can be passed to the request router.""" + + handle = serve.run(AppWithCustomRequestRouterAndKwargs.bind()) + assert handle.remote().result() == "Hello, world!" + + if __name__ == "__main__": import sys diff --git a/python/ray/serve/tests/test_controller.py b/python/ray/serve/tests/test_controller.py index eb14d6c0da40..d3696ca521fb 100644 --- a/python/ray/serve/tests/test_controller.py +++ b/python/ray/serve/tests/test_controller.py @@ -185,9 +185,12 @@ def autoscaling_app(): "ray_actor_options": { "num_cpus": 1.0, }, - "request_router_class": "ray.serve._private.request_router:PowerOfTwoChoicesRequestRouter", - "request_routing_stats_period_s": 10.0, - "request_routing_stats_timeout_s": 30.0, + "request_router_config": { + "request_router_class": "ray.serve._private.request_router:PowerOfTwoChoicesRequestRouter", + "request_router_kwargs": {}, + "request_routing_stats_period_s": 10.0, + "request_routing_stats_timeout_s": 30.0, + }, }, "target_num_replicas": 1, "required_resources": {"CPU": 1}, diff --git a/python/ray/serve/tests/test_record_routing_stats.py b/python/ray/serve/tests/test_record_routing_stats.py index fae97c6f22db..100e57859a32 100644 --- a/python/ray/serve/tests/test_record_routing_stats.py +++ b/python/ray/serve/tests/test_record_routing_stats.py @@ -7,12 +7,15 @@ from ray import serve from ray._common.test_utils import wait_for_condition from ray.serve._private.common import ReplicaID +from ray.serve.config import RequestRouterConfig from ray.serve.context import _get_internal_replica_context from ray.serve.handle import DeploymentHandle @serve.deployment( - request_routing_stats_period_s=0.1, request_routing_stats_timeout_s=0.1 + request_router_config=RequestRouterConfig( + request_routing_stats_period_s=0.1, request_routing_stats_timeout_s=0.1 + ) ) class Patient: def __init__(self): diff --git a/python/ray/serve/tests/test_telemetry_2.py b/python/ray/serve/tests/test_telemetry_2.py index 55f4eda95847..0413400d5bf2 100644 --- a/python/ray/serve/tests/test_telemetry_2.py +++ b/python/ray/serve/tests/test_telemetry_2.py @@ -17,6 +17,7 @@ ) from ray.serve._private.test_utils import check_apps_running, check_telemetry from ray.serve._private.usage import ServeUsageTag +from ray.serve.config import RequestRouterConfig from ray.serve.context import _get_global_client from ray.serve.schema import ServeDeploySchema @@ -159,7 +160,9 @@ def test_custom_request_router_telemetry(manage_ray_with_telemetry): check_telemetry(ServeUsageTag.CUSTOM_REQUEST_ROUTER_USED, expected=None) @serve.deployment( - request_router_class=CustomRequestRouter, + request_router_config=RequestRouterConfig( + request_router_class=CustomRequestRouter, + ), ) class CustomRequestRouterApp: async def __call__(self) -> str: diff --git a/python/ray/serve/tests/unit/test_config.py b/python/ray/serve/tests/unit/test_config.py index a1951f319455..41ef5010eed5 100644 --- a/python/ray/serve/tests/unit/test_config.py +++ b/python/ray/serve/tests/unit/test_config.py @@ -15,6 +15,7 @@ DeploymentMode, HTTPOptions, ProxyLocation, + RequestRouterConfig, gRPCOptions, ) from ray.serve.generated.serve_pb2 import ( @@ -144,27 +145,43 @@ def test_setting_and_getting_request_router_class(self): # Passing request_router_class as a class. deployment_config = DeploymentConfig.from_default( - request_router_class=FakeRequestRouter + request_router_config=RequestRouterConfig( + request_router_class=FakeRequestRouter + ) + ) + assert ( + deployment_config.request_router_config.request_router_class + == request_router_path + ) + assert ( + deployment_config.request_router_config.get_request_router_class() + == FakeRequestRouter ) - assert deployment_config.request_router_class == request_router_path - assert deployment_config.get_request_router_class() == FakeRequestRouter # Passing request_router_class as an import path. deployment_config = DeploymentConfig.from_default( - request_router_class=request_router_path + request_router_config=RequestRouterConfig( + request_router_class=request_router_path + ) + ) + assert ( + deployment_config.request_router_config.request_router_class + == request_router_path + ) + assert ( + deployment_config.request_router_config.get_request_router_class() + == FakeRequestRouter ) - assert deployment_config.request_router_class == request_router_path - assert deployment_config.get_request_router_class() == FakeRequestRouter # Not passing request_router_class should # default to `PowerOfTwoChoicesRequestRouter`. deployment_config = DeploymentConfig.from_default() assert ( - deployment_config.request_router_class + deployment_config.request_router_config.request_router_class == "ray.serve._private.request_router:PowerOfTwoChoicesRequestRouter" ) assert ( - deployment_config.get_request_router_class() + deployment_config.request_router_config.get_request_router_class() == PowerOfTwoChoicesRequestRouter ) diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index 62f6145680e5..ebfc36096a01 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -91,6 +91,27 @@ message LoggingConfig { //[End] Logging Config +//[Begin] ROUTING CONFIG +message RequestRouterConfig { + // Cloudpickled request router definition. + bytes _serialized_request_router_cls = 1; + + // The import path of the request router if user passed a string. It's the + // concatenation of the request router module and the request router name + // if user passed a callable. + string request_router_class = 2; + + // Frequency at which the controller records routing stats for a replica. + double request_routing_stats_period_s = 3; + + // Timeout after which a replica started a record routing stats without a response. + double request_routing_stats_timeout_s = 4; + + // kwargs which Ray Serve passes to the router class' initialize_state method. + bytes request_router_kwargs = 5; +} +//[End] ROUTING CONFIG + // Configuration options for a deployment, to be set by the user. message DeploymentConfig { // The number of processes to start up that will handle requests to this deployment. @@ -135,19 +156,8 @@ message DeploymentConfig { LoggingConfig logging_config = 14; - // Cloudpickled request router definition. - bytes serialized_request_router_cls = 15; - - // The import path of the request router if user passed a string. Will be the - // concatenation of the request router module and the request router name - // if user passed a callable. - string request_router_class = 16; - - // Frequency at which the controller records routing stats for a replica. - double request_routing_stats_period_s = 17; - - // Timeout after which a replica started a record routing stats without a response. - double request_routing_stats_timeout_s = 18; + // The deployment's routing configuration. + RequestRouterConfig request_router_config = 19; } // Deployment language. From 4d9ed8ab2b6e9c219a40b9a9ca00bf47dacda57e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 9 Jul 2025 18:51:43 -0700 Subject: [PATCH 0130/1566] [ci] stop using get.docker.com (#54487) use the official ppa instead. get.docker.sh script stops working on ubuntu20.04 any more Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/base.gpu.Dockerfile | 29 +++++++++++++++++++++++------ ci/docker/base.test.Dockerfile | 15 +++++++++++++-- 2 files changed, 36 insertions(+), 8 deletions(-) diff --git a/ci/docker/base.gpu.Dockerfile b/ci/docker/base.gpu.Dockerfile index c29067d11078..b140eff93ce6 100644 --- a/ci/docker/base.gpu.Dockerfile +++ b/ci/docker/base.gpu.Dockerfile @@ -1,3 +1,4 @@ +# syntax=docker/dockerfile:1.3-labs ARG BASE_IMAGE=nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04 FROM $BASE_IMAGE @@ -23,19 +24,35 @@ ENV BUILDKITE_PULL_REQUEST_BASE_BRANCH=${BUILDKITE_PULL_REQUEST_BASE_BRANCH} ENV TRAVIS_COMMIT=${BUILDKITE_COMMIT} ENV BUILDKITE_BAZEL_CACHE_URL=${REMOTE_CACHE_URL} -RUN apt-get update -qq && apt-get upgrade -qq -RUN apt-get install -y -qq \ +RUN < /dev/null +apt-get update +apt-get install -y docker-ce-cli -RUN curl -o- https://get.docker.com | sh -s -- --version 27.2 +EOF # System conf for tests RUN locale -a diff --git a/ci/docker/base.test.Dockerfile b/ci/docker/base.test.Dockerfile index 4bfd93c45fcf..ff0aea1842b2 100644 --- a/ci/docker/base.test.Dockerfile +++ b/ci/docker/base.test.Dockerfile @@ -20,6 +20,8 @@ ENV BUILDKITE_BAZEL_CACHE_URL=${BUILDKITE_BAZEL_CACHE_URL} RUN < /dev/null +apt-get update +apt-get install -y docker-ce-cli -RUN curl -o- https://get.docker.com | sh -s -- --version 27.2 +EOF # System conf for tests RUN locale -a From ce248602068b78ee08ac35c57f3179378176c057 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 10 Jul 2025 06:05:43 -0700 Subject: [PATCH 0131/1566] [release] update release test dependencies (#54494) after recent dependency changes Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../byod/requirements_byod_3.9.txt | 397 ++++++++---------- .../byod/requirements_ml_byod_3.9.txt | 197 +++++---- 2 files changed, 269 insertions(+), 325 deletions(-) diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 667c3fea7739..d6d2d197cde2 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -197,12 +197,6 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing -bokeh==2.4.3 \ - --hash=sha256:104d2f0a4ca7774ee4b11e545aa34ff76bf3e2ad6de0d33944361981b65da420 \ - --hash=sha256:ef33801161af379665ab7a34684f2209861e3aefd5c803a21fbbb99d94874b03 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # dask boto==2.49.0 \ --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a @@ -477,16 +471,14 @@ click==8.1.7 \ # via # -c release/ray_release/byod/requirements_compiled.txt # dask - # distributed # flask # typer -cloudpickle==2.2.0 \ +cloudpickle==2.2.0 ; python_version < "3.12" \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via # -c release/ray_release/byod/requirements_compiled.txt # dask - # distributed # gymnasium cmake==3.28.1 \ --hash=sha256:0d4051d101d151d8387156c463aa45c8cd0e164f870e0ac0c8c91d3ff08528e1 \ @@ -674,13 +666,12 @@ cython==0.29.37 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -dask[complete]==2022.10.2 ; python_version < "3.12" \ - --hash=sha256:42cb43f601709575fa46ce09e74bea83fdd464187024f56954e09d9b428ceaab \ - --hash=sha256:928003a97b890a14c8a09a01f15320d261053bda530a8bf191d84f33db4a63b8 +dask[complete]==2023.6.1 ; python_version < "3.12" \ + --hash=sha256:56ccfb800c09ac7048435392f2bca2919a39bb9da502f0fddd728c9214d00098 \ + --hash=sha256:8077b708a8a6169da208714a8a9212937e7bed0326e5fa4681456a3538fc15a6 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in - # distributed decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 @@ -697,12 +688,6 @@ diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via petastorm -distributed==2022.10.2 ; python_version < "3.12" \ - --hash=sha256:53f0a5bf6efab9a5ab3345cd913f6d3f3d4ea444ee2edbea331c7fef96fd67d0 \ - --hash=sha256:ae4fffdb55c6cb510ba1cbdf2856563af80ebf93e5ceacb91c1ce79e7da108d8 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # dask exceptiongroup==1.2.1 \ --hash=sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad \ --hash=sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16 @@ -849,9 +834,9 @@ future==1.0.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # petastorm -gast==0.4.0 \ - --hash=sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1 \ - --hash=sha256:b7adcdd5adbebf1adf17378da5ba3f543684dbec47b1cda1f3997e573cd542c4 +gast==0.6.0 \ + --hash=sha256:52b182313f7330389f72b069ba00f174cfe2a06411099547288839c6cbafbd54 \ + --hash=sha256:88fc5300d32c7ac6ca7b515310862f71e6fdf2c029bbec7c66c0f5dd47b6b1fb # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow @@ -1347,6 +1332,7 @@ importlib-metadata==6.11.0 \ # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in # ale-py + # dask # flask # gymnasium # markdown @@ -1367,9 +1353,6 @@ jinja2==3.1.6 \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via # -c release/ray_release/byod/requirements_compiled.txt - # bokeh - # dask - # distributed # flask # memray jmespath==1.0.1 \ @@ -1403,18 +1386,17 @@ keras==2.15.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow -libclang==16.0.6 \ - --hash=sha256:1e940048f51d0b0999099a9b78629ab8a64b62af5e9ff1b2b062439c21ee244d \ - --hash=sha256:4a9acbfd9c135a72f80d5dbff7588dfb0c81458244a89b9e83526e8595880e0a \ - --hash=sha256:4acdde39dfe410c877b4ccc0d4b57eb952100e4ee26bbdf6cfdb88e2033a7d31 \ - --hash=sha256:8130482120500476a027171f8f3c8dfc2536b591716eea71fc5da22cae13131b \ - --hash=sha256:88bc7e7b393c32e41e03ba77ef02fdd647da1f764c2cd028e69e0837080b79f6 \ - --hash=sha256:9dcdc730939788b8b69ffd6d5d75fe5366e3ee007f1e36a99799ec0b0c001492 \ - --hash=sha256:d80ed5827736ed5ec2bcedf536720476fd9d4fa4c79ef0cb24aea4c59332f361 \ - --hash=sha256:da9e47ebc3f0a6d90fb169ef25f9fbcd29b4a4ef97a8b0e3e3a17800af1423f4 \ - --hash=sha256:daab4a11dae228f1efa9efa3fe638b493b14d8d52c71fb3c7019e2f1df4514c2 \ - --hash=sha256:e1a5ad1e895e5443e205568c85c04b4608e4e973dae42f4dfd9cb46c81d1486b \ - --hash=sha256:f04e3060ae1f207f234d0608900c99c50edcb743e5e18276d78da2ddd727d39f +libclang==18.1.1 \ + --hash=sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a \ + --hash=sha256:3f0e1f49f04d3cd198985fea0511576b0aee16f9ff0e0f0cad7f9c57ec3c20e8 \ + --hash=sha256:4dd2d3b82fab35e2bf9ca717d7b63ac990a3519c7e312f19fa8e86dcc712f7fb \ + --hash=sha256:54dda940a4a0491a9d1532bf071ea3ef26e6dbaf03b5000ed94dd7174e8f9592 \ + --hash=sha256:69f8eb8f65c279e765ffd28aaa7e9e364c776c17618af8bff22a8df58677ff4f \ + --hash=sha256:6f14c3f194704e5d09769108f03185fce7acaf1d1ae4bbb2f30a72c2400cb7c5 \ + --hash=sha256:83ce5045d101b669ac38e6da8e58765f12da2d3aafb3b9b98d88b286a60964d8 \ + --hash=sha256:a1214966d08d73d971287fc3ead8dfaf82eb07fb197680d8b3859dbbbbf78250 \ + --hash=sha256:c533091d8a3bbf7460a00cb6c1a71da93bffe148f172c7d03b1c31fbf8aa2a0b \ + --hash=sha256:cf4a99b05376513717ab5d82a0db832c56ccea4fd61a69dbb7bccf2dfb207dbe # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow @@ -1433,12 +1415,51 @@ locket==1.0.0 \ --hash=sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3 # via # -c release/ray_release/byod/requirements_compiled.txt - # distributed # partd locust==2.18.0 \ --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae # via -r release/ray_release/byod/requirements_byod_3.9.in +lz4==4.3.3 \ + --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ + --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ + --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ + --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ + --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ + --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ + --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ + --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ + --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ + --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ + --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ + --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ + --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ + --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ + --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ + --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ + --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ + --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ + --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ + --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ + --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ + --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ + --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ + --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ + --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ + --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ + --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ + --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ + --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ + --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ + --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ + --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ + --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ + --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ + --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ + --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # dask markdown==3.5.1 \ --hash=sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc \ --hash=sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd @@ -1647,7 +1668,6 @@ msgpack==1.0.7 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via # -c release/ray_release/byod/requirements_compiled.txt - # distributed # locust multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1807,8 +1827,6 @@ numpy==1.26.4 \ # via # -c release/ray_release/byod/requirements_compiled.txt # ale-py - # bokeh - # dask # gymnasium # h5py # lightgbm @@ -1860,9 +1878,7 @@ packaging==23.0 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via # -c release/ray_release/byod/requirements_compiled.txt - # bokeh # dask - # distributed # petastorm # pytest # tensorboardx @@ -1898,7 +1914,6 @@ pandas==1.5.3 ; python_version < "3.12" \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via # -c release/ray_release/byod/requirements_compiled.txt - # dask # petastorm # xarray partd==1.4.1 \ @@ -1910,79 +1925,6 @@ partd==1.4.1 \ petastorm==0.12.1 \ --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 # via -r release/ray_release/byod/requirements_byod_3.9.in -pillow==10.3.0 ; platform_system != "Windows" \ - --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ - --hash=sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2 \ - --hash=sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb \ - --hash=sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d \ - --hash=sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa \ - --hash=sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3 \ - --hash=sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1 \ - --hash=sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a \ - --hash=sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd \ - --hash=sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8 \ - --hash=sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999 \ - --hash=sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599 \ - --hash=sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936 \ - --hash=sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375 \ - --hash=sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d \ - --hash=sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b \ - --hash=sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60 \ - --hash=sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572 \ - --hash=sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3 \ - --hash=sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced \ - --hash=sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f \ - --hash=sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b \ - --hash=sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19 \ - --hash=sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f \ - --hash=sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d \ - --hash=sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383 \ - --hash=sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795 \ - --hash=sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355 \ - --hash=sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57 \ - --hash=sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09 \ - --hash=sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b \ - --hash=sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462 \ - --hash=sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf \ - --hash=sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f \ - --hash=sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a \ - --hash=sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad \ - --hash=sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9 \ - --hash=sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d \ - --hash=sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45 \ - --hash=sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994 \ - --hash=sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d \ - --hash=sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338 \ - --hash=sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463 \ - --hash=sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451 \ - --hash=sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591 \ - --hash=sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c \ - --hash=sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd \ - --hash=sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32 \ - --hash=sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9 \ - --hash=sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf \ - --hash=sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5 \ - --hash=sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828 \ - --hash=sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3 \ - --hash=sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5 \ - --hash=sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2 \ - --hash=sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b \ - --hash=sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2 \ - --hash=sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475 \ - --hash=sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3 \ - --hash=sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb \ - --hash=sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef \ - --hash=sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015 \ - --hash=sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002 \ - --hash=sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170 \ - --hash=sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84 \ - --hash=sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57 \ - --hash=sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f \ - --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ - --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a - # via - # -c release/ray_release/byod/requirements_compiled.txt - # bokeh pluggy==1.3.0 \ --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 @@ -2142,7 +2084,6 @@ psutil==5.9.6 \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via # -c release/ray_release/byod/requirements_compiled.txt - # distributed # locust # petastorm ptyprocess==0.7.0 \ @@ -2197,6 +2138,7 @@ pyarrow==14.0.2 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in + # dask # petastorm pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ @@ -2219,103 +2161,114 @@ pycparser==2.21 \ # via # -c release/ray_release/byod/requirements_compiled.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \ - 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--hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ + --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ + --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ + --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ + --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ + --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ + --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ + --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ + --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ + --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ + --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ + --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c release/ray_release/byod/requirements_compiled.txt # pydantic @@ -2420,9 +2373,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via # -c release/ray_release/byod/requirements_compiled.txt - # bokeh # dask - # distributed pyzmq==26.0.3 \ --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ @@ -2782,12 +2733,6 @@ sniffio==1.3.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # anyio -sortedcontainers==2.4.0 \ - --hash=sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88 \ - --hash=sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # distributed starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 @@ -2800,7 +2745,6 @@ tblib==3.0.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in - # distributed tensorboard==2.15.2 \ --hash=sha256:a6f6443728064d962caea6d34653e220e34ef8df764cb06a8212c17e1a8f0622 # via @@ -2896,9 +2840,8 @@ toolz==0.12.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # dask - # distributed # partd -tornado==6.1 \ +tornado==6.1 ; python_version < "3.12" \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ @@ -2942,8 +2885,6 @@ tornado==6.1 \ --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 # via # -c release/ray_release/byod/requirements_compiled.txt - # bokeh - # distributed # terminado tqdm==4.64.1 \ --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ @@ -2968,7 +2909,6 @@ typing-extensions==4.12.2 \ # -r release/ray_release/byod/requirements_byod_3.9.in # aioitertools # ale-py - # bokeh # fastapi # gymnasium # pydantic @@ -2984,7 +2924,6 @@ urllib3==1.26.19 \ # via # -c release/ray_release/byod/requirements_compiled.txt # botocore - # distributed # requests werkzeug==2.3.8 \ --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ @@ -3185,12 +3124,6 @@ zarr==2.16.1 \ --hash=sha256:4276cf4b4a653431042cd53ff2282bc4d292a6842411e88529964504fb073286 \ --hash=sha256:de4882433ccb5b42cc1ec9872b95e64ca3a13581424666b28ed265ad76c7056f # via -r release/ray_release/byod/requirements_byod_3.9.in -zict==3.0.0 \ - --hash=sha256:5796e36bd0e0cc8cf0fbc1ace6a68912611c1dbd74750a3f3026b9b9d6a327ae \ - --hash=sha256:e321e263b6a97aafc0790c3cfb3c04656b7066e6738c37fffcca95d803c9fba5 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # distributed zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index ec23f5745f11..be6abcee47e7 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -2767,105 +2767,116 @@ pycparser==2.21 \ # via # -c release/ray_release/byod/requirements_compiled.txt # cffi -pydantic==2.9.2 \ - --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \ - --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12 +pydantic==2.10.0 \ + --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ + --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in # albumentations # deepspeed # fastapi -pydantic-core==2.23.4 \ - --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \ - --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \ - 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--hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ + --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ + --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ + --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ + --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ + --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ + --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ + --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via # -c release/ray_release/byod/requirements_compiled.txt # pydantic From 8148b9f1b6c278f0be4dfe5d4fcb2b96b3e81a01 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=84=8D=F0=9D=95=A0=F0=9D=95=9D=F0=9D=95=9D=F0=9D=95=A0?= =?UTF-8?q?=F0=9D=95=A8=20=F0=9D=95=84=F0=9D=95=92=F0=9D=95=9F?= Date: Thu, 10 Jul 2025 18:04:18 +0300 Subject: [PATCH 0132/1566] [runtime env]: Integrating ROCm Systems Profiler to Ray worker process (#48525) Reference https://github.com/ray-project/ray/pull/39998 ROCm Systems Profiler is an AMD profiling tool for AMD based GPUs and CPUs. This PR adds ROCm Systems Profiler integration with Ray using runtime_env. Similar to nsight, Currently rocprof-sys-python can't profile the GPU usage from Ray tasks/actors since the processes that can be traced by rocprof-sys-python must be driver processes and it's subprocesses, whereas Ray tasks/actors are run by worker process. Thus, we added rocprof-sys-python native to runtime_env in order to modify the worker process to run with rocprof-sys-python which can produce the report for each worker processes once it exits. Unlike nsight, since the options of ROCm Systems Profiler can be controlled by both environment variables and CLI arguments, and they are not overlapping, we introduced "env" and "args" to the flags to make this possible. Refactoring the code so that we share the same code between nsight and ROCm Systems Profiler is also possible, but since this will introduce breaking changes to the flags design, this will need approval from the maintainers to proceed. --------- Signed-off-by: Hollow Man Signed-off-by: Edward Oakes Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../runtime_env/agent/runtime_env_agent.py | 3 + .../ray/_private/runtime_env/rocprof_sys.py | 173 ++++++++++++++++++ python/ray/remote_function.py | 10 +- python/ray/runtime_env/runtime_env.py | 9 + 4 files changed, 193 insertions(+), 2 deletions(-) create mode 100644 python/ray/_private/runtime_env/rocprof_sys.py diff --git a/python/ray/_private/runtime_env/agent/runtime_env_agent.py b/python/ray/_private/runtime_env/agent/runtime_env_agent.py index a63da401ea19..2e6e4c7204a7 100644 --- a/python/ray/_private/runtime_env/agent/runtime_env_agent.py +++ b/python/ray/_private/runtime_env/agent/runtime_env_agent.py @@ -28,6 +28,7 @@ ) from ray._private.runtime_env.py_executable import PyExecutablePlugin from ray._private.runtime_env.py_modules import PyModulesPlugin +from ray._private.runtime_env.rocprof_sys import RocProfSysPlugin from ray._private.runtime_env.uv import UvPlugin from ray._private.runtime_env.working_dir import WorkingDirPlugin from ray._raylet import GcsClient @@ -217,6 +218,7 @@ def __init__( # TODO(jonathan-anyscale): change the plugin to ProfilerPlugin # and unify with nsight and other profilers. self._nsight_plugin = NsightPlugin(self._runtime_env_dir) + self._rocprof_sys_plugin = RocProfSysPlugin(self._runtime_env_dir) self._mpi_plugin = MPIPlugin() self._image_uri_plugin = get_image_uri_plugin_cls()(temp_dir) @@ -233,6 +235,7 @@ def __init__( self._java_jars_plugin, self._container_plugin, self._nsight_plugin, + self._rocprof_sys_plugin, self._mpi_plugin, self._image_uri_plugin, ] diff --git a/python/ray/_private/runtime_env/rocprof_sys.py b/python/ray/_private/runtime_env/rocprof_sys.py new file mode 100644 index 000000000000..a05626de1a0e --- /dev/null +++ b/python/ray/_private/runtime_env/rocprof_sys.py @@ -0,0 +1,173 @@ +import asyncio +import copy +import logging +import os +import subprocess +import sys +from pathlib import Path +from typing import Dict, List, Optional, Tuple + +from ray._common.utils import try_to_create_directory +from ray._private.runtime_env.context import RuntimeEnvContext +from ray._private.runtime_env.plugin import RuntimeEnvPlugin +from ray.exceptions import RuntimeEnvSetupError + +default_logger = logging.getLogger(__name__) + +# rocprof-sys config used when runtime_env={"_rocprof_sys": "default"} +# Refer to the following link for more information on rocprof-sys options +# https://rocm.docs.amd.com/projects/rocprofiler-systems/en/docs-6.4.0/how-to/understanding-rocprof-sys-output.html +ROCPROFSYS_DEFAULT_CONFIG = { + "env": { + "ROCPROFSYS_TIME_OUTPUT": "false", + "ROCPROFSYS_OUTPUT_PREFIX": "worker_process_%p", + }, + "args": { + "F": "true", + }, +} + + +def parse_rocprof_sys_config( + rocprof_sys_config: Dict[str, str] +) -> Tuple[List[str], List[str]]: + """ + Function to convert dictionary of rocprof-sys options into + rocprof-sys-python command line + + The function returns: + - List[str]: rocprof-sys-python cmd line split into list of str + """ + rocprof_sys_cmd = ["rocprof-sys-python"] + rocprof_sys_env = {} + if "args" in rocprof_sys_config: + # Parse rocprof-sys arg options + for option, option_val in rocprof_sys_config["args"].items(): + # option standard based on + # https://www.gnu.org/software/libc/manual/html_node/Argument-Syntax.html + if len(option) > 1: + rocprof_sys_cmd.append(f"--{option}={option_val}") + else: + rocprof_sys_cmd += [f"-{option}", option_val] + if "env" in rocprof_sys_config: + rocprof_sys_env = rocprof_sys_config["env"] + rocprof_sys_cmd.append("--") + return rocprof_sys_cmd, rocprof_sys_env + + +class RocProfSysPlugin(RuntimeEnvPlugin): + name = "_rocprof_sys" + + def __init__(self, resources_dir: str): + self.rocprof_sys_cmd = [] + self.rocprof_sys_env = {} + + # replace this with better way to get logs dir + session_dir, runtime_dir = os.path.split(resources_dir) + self._rocprof_sys_dir = Path(session_dir) / "logs" / "rocprof_sys" + try_to_create_directory(self._rocprof_sys_dir) + + async def _check_rocprof_sys_script( + self, rocprof_sys_config: Dict[str, str] + ) -> Tuple[bool, str]: + """ + Function to validate if rocprof_sys_config is a valid rocprof_sys profile options + Args: + rocprof_sys_config: dictionary mapping rocprof_sys option to it's value + Returns: + a tuple consists of a boolean indicating if the rocprof_sys_config + is valid option and an error message if the rocprof_sys_config is invalid + """ + + # use empty as rocprof_sys report test filename + test_folder = str(Path(self._rocprof_sys_dir) / "test") + rocprof_sys_cmd, rocprof_sys_env = parse_rocprof_sys_config(rocprof_sys_config) + rocprof_sys_env_copy = copy.deepcopy(rocprof_sys_env) + rocprof_sys_env_copy["ROCPROFSYS_OUTPUT_PATH"] = test_folder + rocprof_sys_env_copy.update(os.environ) + try_to_create_directory(test_folder) + + # Create a test python file to run rocprof_sys + with open(f"{test_folder}/test.py", "w") as f: + f.write("import time\n") + try: + rocprof_sys_cmd = rocprof_sys_cmd + [f"{test_folder}/test.py"] + process = await asyncio.create_subprocess_exec( + *rocprof_sys_cmd, + env=rocprof_sys_env_copy, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + stdout, stderr = await process.communicate() + error_msg = stderr.strip() if stderr.strip() != "" else stdout.strip() + + # cleanup temp file + clean_up_cmd = ["rm", "-r", test_folder] + cleanup_process = await asyncio.create_subprocess_exec( + *clean_up_cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + _, _ = await cleanup_process.communicate() + if process.returncode == 0: + return True, None + else: + return False, error_msg + except FileNotFoundError: + return False, ("rocprof_sys is not installed") + + async def create( + self, + uri: Optional[str], + runtime_env: "RuntimeEnv", # noqa: F821 + context: RuntimeEnvContext, + logger: logging.Logger = default_logger, + ) -> int: + rocprof_sys_config = runtime_env.rocprof_sys() + if not rocprof_sys_config: + return 0 + + if rocprof_sys_config and sys.platform != "linux": + raise RuntimeEnvSetupError("rocprof-sys CLI is only available in Linux.\n") + + if isinstance(rocprof_sys_config, str): + if rocprof_sys_config == "default": + rocprof_sys_config = ROCPROFSYS_DEFAULT_CONFIG + else: + raise RuntimeEnvSetupError( + f"Unsupported rocprof_sys config: {rocprof_sys_config}. " + "The supported config is 'default' or " + "Dictionary of rocprof_sys options" + ) + + is_valid_rocprof_sys_config, error_msg = await self._check_rocprof_sys_script( + rocprof_sys_config + ) + if not is_valid_rocprof_sys_config: + logger.warning(error_msg) + raise RuntimeEnvSetupError( + "rocprof-sys profile failed to run with the following " + f"error message:\n {error_msg}" + ) + # add set output path to logs dir + if "env" not in rocprof_sys_config: + rocprof_sys_config["env"] = {} + rocprof_sys_config["env"]["ROCPROFSYS_OUTPUT_PATH"] = str( + Path(self._rocprof_sys_dir) + ) + + self.rocprof_sys_cmd, self.rocprof_sys_env = parse_rocprof_sys_config( + rocprof_sys_config + ) + return 0 + + def modify_context( + self, + uris: List[str], + runtime_env: "RuntimeEnv", # noqa: F821 + context: RuntimeEnvContext, + logger: Optional[logging.Logger] = default_logger, + ): + logger.info("Running rocprof-sys profiler") + context.py_executable = " ".join(self.rocprof_sys_cmd) + context.env_vars.update(self.rocprof_sys_env) diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index bdc5c3e136ea..30cbdcd9d71d 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -105,11 +105,17 @@ def __init__( # When gpu is used, set the task non-recyclable by default. # https://github.com/ray-project/ray/issues/29624 for more context. # Note: Ray task worker process is not being reused when nsight - # profiler is running, as nsight generate report once the process exit. + # profiler is running, as nsight/rocprof-sys generate report + # once the process exit. num_gpus = self._default_options.get("num_gpus") or 0 if ( num_gpus > 0 and self._default_options.get("max_calls", None) is None - ) or "nsight" in (self._default_options.get("runtime_env") or {}): + ) or any( + [ + s in (self._default_options.get(s) or {}) + for s in ["nsight", "rocprof-sys"] + ] + ): self._default_options["max_calls"] = 1 # TODO(suquark): This is a workaround for class attributes of options. diff --git a/python/ray/runtime_env/runtime_env.py b/python/ray/runtime_env/runtime_env.py index bbd6f91137dc..0682c48539fb 100644 --- a/python/ray/runtime_env/runtime_env.py +++ b/python/ray/runtime_env/runtime_env.py @@ -272,6 +272,8 @@ class MyClass: When a runtime env is specified by job submission API, only a module name (string) is allowed. nsight: Dictionary mapping nsight profile option name to it's value. + rocprof_sys: Dictionary mapping rocprof-sys profile option name and environment + variables to it's value. config: config for runtime environment. Either a dict or a RuntimeEnvConfig. Field: (1) setup_timeout_seconds, the timeout of runtime environment creation, timeout is in seconds. @@ -297,6 +299,7 @@ class MyClass: "config", "worker_process_setup_hook", "_nsight", + "_rocprof_sys", "mpi", "image_uri", } @@ -319,6 +322,7 @@ def __init__( env_vars: Optional[Dict[str, str]] = None, worker_process_setup_hook: Optional[Union[Callable, str]] = None, nsight: Optional[Union[str, Dict[str, str]]] = None, + rocprof_sys: Optional[Union[str, Dict[str, Dict[str, str]]]] = None, config: Optional[Union[Dict, RuntimeEnvConfig]] = None, _validate: bool = True, mpi: Optional[Dict] = None, @@ -343,6 +347,8 @@ def __init__( runtime_env["conda"] = conda if nsight is not None: runtime_env["_nsight"] = nsight + if rocprof_sys is not None: + runtime_env["_rocprof_sys"] = rocprof_sys if container is not None: runtime_env["container"] = container if env_vars is not None: @@ -529,6 +535,9 @@ def mpi(self) -> Optional[Union[str, Dict[str, str]]]: def nsight(self) -> Optional[Union[str, Dict[str, str]]]: return self.get("_nsight", None) + def rocprof_sys(self) -> Optional[Union[str, Dict[str, Dict[str, str]]]]: + return self.get("_rocprof_sys", None) + def env_vars(self) -> Dict: return self.get("env_vars", {}) From 84d7d9b23ce2df1d408745a39c4f68d7389d84ff Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 10 Jul 2025 08:53:35 -0700 Subject: [PATCH 0133/1566] [deps] core: drop opencensus-proto test dep (#54497) avoid unnecessary test dependency; instead, check the protobuf footprint of `ray.init()` by directly querying the default descriptor pool getting ready to upgrade into protobuf4 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/tests/test_metrics.py | 19 ++++++++++++++----- python/requirements/test-requirements.txt | 1 - python/requirements_compiled.txt | 3 --- 3 files changed, 14 insertions(+), 9 deletions(-) diff --git a/python/ray/tests/test_metrics.py b/python/ray/tests/test_metrics.py index 5d255b40d5a3..fa7a9bb6f9c9 100644 --- a/python/ray/tests/test_metrics.py +++ b/python/ray/tests/test_metrics.py @@ -346,11 +346,20 @@ def test_prometheus_endpoint(): def test_opentelemetry_conflict(shutdown_only): ray.init() - # If opencensus protobuf doesn't conflict, this shouldn't raise an exception. - # Otherwise, it raises an error saying - # opencensus/proto/resource/v1/resource.proto: - # A file with this name is already in the pool. - from opencensus.proto.trace.v1 import trace_pb2 # noqa + + # After ray.init(), opencensus protobuf should not be registered. + # Otherwise, it might conflict with other versions generated opencensus protobuf. + + from google.protobuf.descriptor_pool import Default as DefaultPool + + pool = DefaultPool() + + try: + found_file = pool.FindFileByName("opencensus/proto/resource/v1/resource.proto") + except KeyError: + found_file = None + + assert found_file is None, "opencensus protobuf registered after ray.init()" # Make sure the similar resource protobuf also doesn't raise an exception. from opentelemetry.proto.resource.v1 import resource_pb2 # noqa diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 6731ad75f420..0c7f319ad5fb 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -38,7 +38,6 @@ numba==0.59.1 openpyxl==3.0.10 opentelemetry-api opentelemetry-sdk -opencensus-proto==0.1.0 pexpect==4.8.0 Pillow==10.3.0; platform_system != "Windows" proxy.py==2.4.3 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 519d986f8917..1ce4f5606ef2 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -677,7 +677,6 @@ grpcio==1.66.2 ; sys_platform != "darwin" # grpcio-status # grpcio-tools # mlagents-envs - # opencensus-proto # tensorboard # tensorflow grpcio-status==1.48.2 @@ -1295,8 +1294,6 @@ opencensus==0.11.3 # via -r python/requirements.txt opencensus-context==0.1.3 # via opencensus -opencensus-proto==0.1.0 - # via -r python/requirements/test-requirements.txt opencv-python-headless==4.9.0.80 # via -r python/requirements/ml/rllib-test-requirements.txt openpyxl==3.0.10 From 259332a8b17572585b24789f1d408de3b639cd76 Mon Sep 17 00:00:00 2001 From: Christina Zhu Date: Thu, 10 Jul 2025 09:54:37 -0700 Subject: [PATCH 0134/1566] Updated stalebot to use unstale label instead of bounced. (#54506) the `bounced` label from the stalebot might be misleading to contributors - we are renaming it to `unstale` for better clarity. Signed-off-by: Christina Zhu Signed-off-by: Douglas Strodtman --- .github/workflows/stale_pull_request.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/stale_pull_request.yaml b/.github/workflows/stale_pull_request.yaml index 2219583d0501..51e56141bfd6 100644 --- a/.github/workflows/stale_pull_request.yaml +++ b/.github/workflows/stale_pull_request.yaml @@ -57,7 +57,7 @@ jobs: exempt-pr-labels: > weekly-release-blocker, release-blocker, - bounced + unstale # Set to true to ignore PRs in a milestone (defaults to false) exempt-all-pr-milestones: true @@ -69,7 +69,7 @@ jobs: # Remove stale label from PRs on update (default is true) remove-pr-stale-when-updated: true - # Add bounced label. Whenever a PR is marked as 'bounced' it will not be marked stale again. - labels-to-add-when-unstale: bounced + # Add unstale label. Whenever a PR is marked as 'unstale' it will not be marked stale again. + labels-to-add-when-unstale: unstale ascending: true From 03a679d938869559cd226add6dce7e674b1505a2 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Thu, 10 Jul 2025 10:05:11 -0700 Subject: [PATCH 0135/1566] [deps] Allow to call individual functions within install-dependencies (#54502) - This modifies the logic for the script to take in an argument and run that specific function instead of defaulting to calling `install_dependencies` all the time. - If there's no arg, `install_dependencies` get called by default --------- Signed-off-by: kevin Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/env/install-dependencies.sh | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/ci/env/install-dependencies.sh b/ci/env/install-dependencies.sh index 7964191d4508..c4f79cdc8ab4 100755 --- a/ci/env/install-dependencies.sh +++ b/ci/env/install-dependencies.sh @@ -435,7 +435,11 @@ install_dependencies() { install_thirdparty_packages } -install_dependencies +if [[ $# -eq 0 ]]; then + install_dependencies +else + "$@" +fi # Pop caller's shell options (quietly) { set -vx; eval "${SHELLOPTS_STACK##*|}"; SHELLOPTS_STACK="${SHELLOPTS_STACK%|*}"; } 2> /dev/null From 8ed2e9beb55e8398c62e5f54e548792603edfead Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 10 Jul 2025 12:08:25 -0500 Subject: [PATCH 0136/1566] [core] Improve status messages and add comments about stale seq_no handling (#54470) I had a hard time piecing together the logic around handling tasks with stale and canceled sequence numbers. Added some comments and updated the status messages to improve readability. Specifically, [this message](https://github.com/ray-project/ray/blob/b66090e17748f493ba4e94c9c95c8bfd318978d1/src/ray/core_worker/transport/actor_scheduling_queue.cc#L196) was misleading: in this branch, the server is deciding to cancel the stale messages, not the client. Also standardized the naming to "dependencies resolved" (previously a mix of "can execute", "satisfied", "resolved"). --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../transport/actor_scheduling_queue.cc | 60 +++++++++++-------- .../transport/actor_scheduling_queue.h | 2 - .../out_of_order_actor_scheduling_queue.cc | 12 ++-- .../out_of_order_actor_scheduling_queue.h | 2 +- .../core_worker/transport/scheduling_util.cc | 14 ++++- .../core_worker/transport/scheduling_util.h | 4 +- src/ray/protobuf/core_worker.proto | 8 ++- 7 files changed, 63 insertions(+), 39 deletions(-) diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.cc b/src/ray/core_worker/transport/actor_scheduling_queue.cc index 3c809eb14c13..69ede825792e 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.cc +++ b/src/ray/core_worker/transport/actor_scheduling_queue.cc @@ -101,7 +101,7 @@ void ActorSchedulingQueue::Add( task_spec, rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); - it->second.MarkDependenciesSatisfied(); + it->second.MarkDependenciesResolved(); ScheduleRequests(); } }); @@ -133,12 +133,18 @@ bool ActorSchedulingQueue::CancelTaskIfFound(TaskID task_id) { /// Schedules as many requests as possible in sequence. void ActorSchedulingQueue::ScheduleRequests() { // Cancel any stale requests that the client doesn't need any longer. + // This happens when the client sends an RPC with the client_processed_up_to + // sequence number higher than the lowest sequence number of a pending actor task. + // In that case, the client no longer needs the task to execute (e.g., it has been + // retried). while (!pending_actor_tasks_.empty() && pending_actor_tasks_.begin()->first < next_seq_no_) { auto head = pending_actor_tasks_.begin(); RAY_LOG(ERROR) << "Cancelling stale RPC with seqno " << pending_actor_tasks_.begin()->first << " < " << next_seq_no_; - head->second.Cancel(Status::Invalid("client cancelled stale rpc")); + head->second.Cancel( + Status::Invalid("Task canceled due to stale sequence number. The client " + "intentionally discarded this task.")); { absl::MutexLock lock(&mu_); pending_task_id_to_is_canceled.erase(head->second.TaskID()); @@ -149,7 +155,7 @@ void ActorSchedulingQueue::ScheduleRequests() { // Process as many in-order requests as we can. while (!pending_actor_tasks_.empty() && pending_actor_tasks_.begin()->first == next_seq_no_ && - pending_actor_tasks_.begin()->second.CanExecute()) { + pending_actor_tasks_.begin()->second.DependenciesResolved()) { auto head = pending_actor_tasks_.begin(); auto request = head->second; auto task_id = head->second.TaskID(); @@ -169,40 +175,44 @@ void ActorSchedulingQueue::ScheduleRequests() { } if (pending_actor_tasks_.empty() || - !pending_actor_tasks_.begin()->second.CanExecute()) { - // No timeout for object dependency waits. + !pending_actor_tasks_.begin()->second.DependenciesResolved()) { + // Either there are no tasks to execute, or the head of the line is blocked waiting + // for its dependencies. We do not set a timeout waiting for dependency resolution. wait_timer_.cancel(); } else { - // Set a timeout on the queued tasks to avoid an infinite wait on failure. + // We are waiting for a task with an earlier seq_no from the client. + // The client always sends tasks in seq_no order, so in the majority of cases we + // should receive the expected message soon, but messages can come in out of order. + // + // We set a generous timeout in case the expected seq_no is never received to avoid + // hanging. This should happen only if the client crashes or misbehaves. After the + // timeout, all tasks will be canceled and the client (if alive) must retry. wait_timer_.expires_from_now(boost::posix_time::seconds(reorder_wait_seconds_)); RAY_LOG(DEBUG) << "waiting for " << next_seq_no_ << " queue size " << pending_actor_tasks_.size(); wait_timer_.async_wait([this](const boost::system::error_code &error) { if (error == boost::asio::error::operation_aborted) { - return; // time deadline was adjusted + return; // Timer deadline was adjusted. + } + RAY_LOG(ERROR) << "Timed out waiting for task with seq_no=" << next_seq_no_ + << ", canceling all queued tasks."; + while (!pending_actor_tasks_.empty()) { + auto head = pending_actor_tasks_.begin(); + head->second.Cancel( + Status::Invalid(absl::StrCat("Server timed out after waiting ", + reorder_wait_seconds_, + " seconds for an earlier seq_no."))); + next_seq_no_ = std::max(next_seq_no_, head->first + 1); + { + absl::MutexLock lock(&mu_); + pending_task_id_to_is_canceled.erase(head->second.TaskID()); + } + pending_actor_tasks_.erase(head); } - OnSequencingWaitTimeout(); }); } } -/// Called when we time out waiting for an earlier task to show up. -void ActorSchedulingQueue::OnSequencingWaitTimeout() { - RAY_CHECK(std::this_thread::get_id() == main_thread_id_); - RAY_LOG(ERROR) << "timed out waiting for " << next_seq_no_ - << ", cancelling all queued tasks"; - while (!pending_actor_tasks_.empty()) { - auto head = pending_actor_tasks_.begin(); - head->second.Cancel(Status::Invalid("client cancelled stale rpc")); - next_seq_no_ = std::max(next_seq_no_, head->first + 1); - { - absl::MutexLock lock(&mu_); - pending_task_id_to_is_canceled.erase(head->second.TaskID()); - } - pending_actor_tasks_.erase(head); - } -} - void ActorSchedulingQueue::AcceptRequestOrRejectIfCanceled(TaskID task_id, InboundRequest &request) { bool is_canceled = false; diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.h b/src/ray/core_worker/transport/actor_scheduling_queue.h index 60d026ae994f..acc578b17921 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.h +++ b/src/ray/core_worker/transport/actor_scheduling_queue.h @@ -79,8 +79,6 @@ class ActorSchedulingQueue : public SchedulingQueue { /// CancelTaskIfFound. void AcceptRequestOrRejectIfCanceled(TaskID task_id, InboundRequest &request); - /// Called when we time out waiting for an earlier task to show up. - void OnSequencingWaitTimeout(); /// Max time in seconds to wait for dependencies to show up. const int64_t reorder_wait_seconds_; /// Sorted map of (accept, rej) task callbacks keyed by their sequence number. diff --git a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc b/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc index 1da6f5917220..e52aa732e0e7 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc +++ b/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc @@ -145,9 +145,9 @@ bool OutOfOrderActorSchedulingQueue::CancelTaskIfFound(TaskID task_id) { } } -void OutOfOrderActorSchedulingQueue::RunRequestWithSatisfiedDependencies( +void OutOfOrderActorSchedulingQueue::RunRequestWithResolvedDependencies( InboundRequest &request) { - RAY_CHECK(request.CanExecute()); + RAY_CHECK(request.DependenciesResolved()); const auto task_id = request.TaskID(); if (is_asyncio_) { // Process async actor task. @@ -195,8 +195,8 @@ void OutOfOrderActorSchedulingQueue::RunRequest(InboundRequest request) { rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); - request.MarkDependenciesSatisfied(); - RunRequestWithSatisfiedDependencies(request); + request.MarkDependenciesResolved(); + RunRequestWithResolvedDependencies(request); }); } else { RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( @@ -206,8 +206,8 @@ void OutOfOrderActorSchedulingQueue::RunRequest(InboundRequest request) { task_spec, rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); - request.MarkDependenciesSatisfied(); - RunRequestWithSatisfiedDependencies(request); + request.MarkDependenciesResolved(); + RunRequestWithResolvedDependencies(request); } } diff --git a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h b/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h index 950b197ab95e..5588e2af4913 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h +++ b/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h @@ -80,7 +80,7 @@ class OutOfOrderActorSchedulingQueue : public SchedulingQueue { private: void RunRequest(InboundRequest request); - void RunRequestWithSatisfiedDependencies(InboundRequest &request); + void RunRequestWithResolvedDependencies(InboundRequest &request); /// Accept the given InboundRequest or reject it if a task id is canceled via /// CancelTaskIfFound. diff --git a/src/ray/core_worker/transport/scheduling_util.cc b/src/ray/core_worker/transport/scheduling_util.cc index f3990230bf1a..a5ef720bdcb3 100644 --- a/src/ray/core_worker/transport/scheduling_util.cc +++ b/src/ray/core_worker/transport/scheduling_util.cc @@ -39,23 +39,33 @@ InboundRequest::InboundRequest( void InboundRequest::Accept() { accept_callback_(task_spec_, std::move(send_reply_callback_)); } + void InboundRequest::Cancel(const Status &status) { reject_callback_(task_spec_, status, std::move(send_reply_callback_)); } -bool InboundRequest::CanExecute() const { return pending_dependencies_.empty(); } ray::TaskID InboundRequest::TaskID() const { return task_spec_.TaskId(); } + uint64_t InboundRequest::AttemptNumber() const { return task_spec_.AttemptNumber(); } + const std::string &InboundRequest::ConcurrencyGroupName() const { return task_spec_.ConcurrencyGroupName(); } + ray::FunctionDescriptor InboundRequest::FunctionDescriptor() const { return task_spec_.FunctionDescriptor(); } + const std::vector &InboundRequest::PendingDependencies() const { return pending_dependencies_; }; -void InboundRequest::MarkDependenciesSatisfied() { pending_dependencies_.clear(); } + +bool InboundRequest::DependenciesResolved() const { + return pending_dependencies_.empty(); +} + +void InboundRequest::MarkDependenciesResolved() { pending_dependencies_.clear(); } + const TaskSpecification &InboundRequest::TaskSpec() const { return task_spec_; } DependencyWaiterImpl::DependencyWaiterImpl(DependencyWaiterInterface &dependency_client) diff --git a/src/ray/core_worker/transport/scheduling_util.h b/src/ray/core_worker/transport/scheduling_util.h index e3570aa2e5a0..c909ca57de21 100644 --- a/src/ray/core_worker/transport/scheduling_util.h +++ b/src/ray/core_worker/transport/scheduling_util.h @@ -40,12 +40,12 @@ class InboundRequest { void Accept(); void Cancel(const Status &status); - bool CanExecute() const; ray::TaskID TaskID() const; uint64_t AttemptNumber() const; const std::string &ConcurrencyGroupName() const; ray::FunctionDescriptor FunctionDescriptor() const; - void MarkDependenciesSatisfied(); + bool DependenciesResolved() const; + void MarkDependenciesResolved(); const std::vector &PendingDependencies() const; const TaskSpecification &TaskSpec() const; diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 581bc5a408f6..a2050d116ec7 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -83,7 +83,13 @@ message PushTaskRequest { // sequentially starting from zero for each actor handle. The server // will guarantee tasks execute in this sequence, waiting for any // out-of-order request messages to arrive as necessary. - // If set to -1, ordering is disabled and the task executes immediately. + // + // The server will wait up to a configured timeout for the expected sequential + // sequence number to arrive if they come out of order. After the timeout, the + // server will assume the client is dead or misbehaving and cancel all pending tasks. + // + // If set to -1, ordering is disabled and the task executes once its + // dependencies are resolved. int64 sequence_number = 3; // The maximum sequence number for which the client has processed responses. // This is useful in the following example: From 68fa44e72cfe6aeb4838c58120e6b86572aa2de8 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 10 Jul 2025 10:23:53 -0700 Subject: [PATCH 0137/1566] split _wrap_user_method_call into _wrap_request and _start_request (#54485) Split wrap_user_method_call context manager into _wrap_request and _start_request. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 151 +++++++++++++-------------- 1 file changed, 74 insertions(+), 77 deletions(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 32c8d0f75ea8..23e74f8c173f 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -509,7 +509,6 @@ def _status_code_callback(s: str): status_code = s try: - self._metrics_manager.inc_num_ongoing_requests(request_metadata) yield _status_code_callback except asyncio.CancelledError as e: user_exception = e @@ -518,8 +517,6 @@ def _status_code_callback(s: str): user_exception = e logger.exception("Request failed.") self._on_request_failed(request_metadata, e) - finally: - self._metrics_manager.dec_num_ongoing_requests(request_metadata) latency_ms = (time.time() - start_time) * 1000 self._record_errors_and_metrics( @@ -546,7 +543,7 @@ def _record_errors_and_metrics( else: status_str = "ERROR" - # Set in _wrap_user_method_call. + # Set in _wrap_request. logger.info( access_log_msg( method=http_method or "CALL", @@ -607,10 +604,11 @@ async def handle_request( request_args, request_kwargs = self._unpack_proxy_args( request_metadata, request_args, request_kwargs ) - async with self._wrap_user_method_call(request_metadata): - return await self._user_callable_wrapper.call_user_method( - request_metadata, request_args, request_kwargs - ) + with self._wrap_request(request_metadata): + async with self._start_request(request_metadata): + return await self._user_callable_wrapper.call_user_method( + request_metadata, request_args, request_kwargs + ) async def handle_request_streaming( self, request_metadata: RequestMetadata, *request_args, **request_kwargs @@ -619,25 +617,24 @@ async def handle_request_streaming( request_args, request_kwargs = self._unpack_proxy_args( request_metadata, request_args, request_kwargs ) - async with self._wrap_user_method_call( - request_metadata - ) as status_code_callback: - if request_metadata.is_http_request: - scope, receive = request_args - async for messages in self._user_callable_wrapper.call_http_entrypoint( - request_metadata, - status_code_callback, - scope, - receive, - ): - yield pickle.dumps(messages) - else: - async for result in self._user_callable_wrapper.call_user_generator( - request_metadata, - request_args, - request_kwargs, - ): - yield result + with self._wrap_request(request_metadata) as status_code_callback: + async with self._start_request(request_metadata): + if request_metadata.is_http_request: + scope, receive = request_args + async for msgs in self._user_callable_wrapper.call_http_entrypoint( + request_metadata, + status_code_callback, + scope, + receive, + ): + yield pickle.dumps(msgs) + else: + async for result in self._user_callable_wrapper.call_user_generator( + request_metadata, + request_args, + request_kwargs, + ): + yield result async def handle_request_with_rejection( self, request_metadata: RequestMetadata, *request_args, **request_kwargs @@ -656,37 +653,36 @@ async def handle_request_with_rejection( request_args, request_kwargs = self._unpack_proxy_args( request_metadata, request_args, request_kwargs ) - async with self._wrap_user_method_call( - request_metadata - ) as status_code_callback: - yield ReplicaQueueLengthInfo( - accepted=True, - # NOTE(edoakes): `_wrap_user_method_call` will increment the number - # of ongoing requests to include this one, so re-fetch the value. - num_ongoing_requests=self.get_num_ongoing_requests(), - ) - - if request_metadata.is_http_request: - scope, receive = request_args - async for messages in self._user_callable_wrapper.call_http_entrypoint( - request_metadata, - status_code_callback, - scope, - receive, - ): - yield pickle.dumps(messages) - elif request_metadata.is_streaming: - async for result in self._user_callable_wrapper.call_user_generator( - request_metadata, - request_args, - request_kwargs, - ): - yield result - else: - yield await self._user_callable_wrapper.call_user_method( - request_metadata, request_args, request_kwargs + with self._wrap_request(request_metadata) as status_code_callback: + async with self._start_request(request_metadata): + yield ReplicaQueueLengthInfo( + accepted=True, + # NOTE(edoakes): `_wrap_request` will increment the number + # of ongoing requests to include this one, so re-fetch the value. + num_ongoing_requests=self.get_num_ongoing_requests(), ) + if request_metadata.is_http_request: + scope, receive = request_args + async for msgs in self._user_callable_wrapper.call_http_entrypoint( + request_metadata, + status_code_callback, + scope, + receive, + ): + yield pickle.dumps(msgs) + elif request_metadata.is_streaming: + async for result in self._user_callable_wrapper.call_user_generator( + request_metadata, + request_args, + request_kwargs, + ): + yield result + else: + yield await self._user_callable_wrapper.call_user_method( + request_metadata, request_args, request_kwargs + ) + @abstractmethod async def _on_initialized(self): raise NotImplementedError @@ -770,16 +766,20 @@ def _on_request_failed(self, request_metadata: RequestMetadata, e: Exception): pass @abstractmethod - @asynccontextmanager - async def _wrap_user_method_call( + @contextmanager + def _wrap_request( self, request_metadata: RequestMetadata ) -> Generator[StatusCodeCallback, None, None]: pass @asynccontextmanager - async def _start_request(self): + async def _start_request(self, request_metadata: RequestMetadata): async with self._semaphore: - yield + try: + self._metrics_manager.inc_num_ongoing_requests(request_metadata) + yield + finally: + self._metrics_manager.dec_num_ongoing_requests(request_metadata) async def _drain_ongoing_requests(self): """Wait for any ongoing requests to finish. @@ -887,32 +887,29 @@ def _on_request_failed(self, request_metadata: RequestMetadata, e: Exception): if ray.util.pdb._is_ray_debugger_post_mortem_enabled(): ray.util.pdb._post_mortem() - @asynccontextmanager - async def _wrap_user_method_call( + @contextmanager + def _wrap_request( self, request_metadata: RequestMetadata - ) -> AsyncGenerator[StatusCodeCallback, None]: + ) -> Generator[StatusCodeCallback, None, None]: """Context manager that wraps user method calls. 1) Sets the request context var with appropriate metadata. 2) Records the access log message (if not disabled). 3) Records per-request metrics via the metrics manager. """ - async with self._start_request(): - ray.serve.context._serve_request_context.set( - ray.serve.context._RequestContext( - route=request_metadata.route, - request_id=request_metadata.request_id, - _internal_request_id=request_metadata.internal_request_id, - app_name=self._deployment_id.app_name, - multiplexed_model_id=request_metadata.multiplexed_model_id, - grpc_context=request_metadata.grpc_context, - ) + ray.serve.context._serve_request_context.set( + ray.serve.context._RequestContext( + route=request_metadata.route, + request_id=request_metadata.request_id, + _internal_request_id=request_metadata.internal_request_id, + app_name=self._deployment_id.app_name, + multiplexed_model_id=request_metadata.multiplexed_model_id, + grpc_context=request_metadata.grpc_context, ) + ) - with self._handle_errors_and_metrics( - request_metadata - ) as status_code_callback: - yield status_code_callback + with self._handle_errors_and_metrics(request_metadata) as status_code_callback: + yield status_code_callback class ReplicaActor: From 03cca67b452421e30100153e670b4f75b85ab155 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Thu, 10 Jul 2025 10:39:38 -0700 Subject: [PATCH 0138/1566] [Docs] Troubleshooting DeepSeek/multi-node GPU deployment on KubeRay (#54229) Signed-off-by: Seiji Eicher Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../troubleshooting/troubleshooting.md | 6 + doc/source/serve/advanced-guides/index.md | 2 + .../multi-node-gpu-troubleshooting.md | 258 ++++++++++++++++++ doc/source/serve/tutorials/serve-deepseek.md | 21 ++ 4 files changed, 287 insertions(+) create mode 100644 doc/source/serve/advanced-guides/multi-node-gpu-troubleshooting.md diff --git a/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md b/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md index efdeb608ae33..f381efe16567 100644 --- a/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md +++ b/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md @@ -14,6 +14,7 @@ If you don't find an answer to your question here, please don't hesitate to conn - [Cluster domain](#cluster-domain) - [RayService](#rayservice) - [Autoscaler](#autoscaler) +- [Multi-node GPU clusters](#multi-node-gpu) - [Other questions](#other-questions) (use-the-right-version-of-ray)= @@ -97,6 +98,11 @@ One common cause is that the Ray tasks or actors require an amount of resources Note that Ray tasks and actors represent the smallest scheduling units in Ray, and a task or actor should be on a single Ray node. Take [kuberay#846](https://github.com/ray-project/kuberay/issues/846) as an example. The user attempts to schedule a Ray task that requires 2 CPUs, but the Ray Pods available for these tasks have only 1 CPU each. Consequently, the Ray Autoscaler decides not to scale up the RayCluster. +(multi-node-gpu)= +## Multi-node GPU Deployments + +For comprehensive troubleshooting of multi-node GPU serving issues, refer to {ref}`Troubleshooting multi-node GPU serving on KubeRay `. + (other-questions)= ## Other questions diff --git a/doc/source/serve/advanced-guides/index.md b/doc/source/serve/advanced-guides/index.md index 58516a18b3d9..e2ab51c6ada4 100644 --- a/doc/source/serve/advanced-guides/index.md +++ b/doc/source/serve/advanced-guides/index.md @@ -15,6 +15,7 @@ managing-java-deployments deploy-vm multi-app-container custom-request-router +multi-node-gpu-troubleshooting ``` If you’re new to Ray Serve, start with the [Ray Serve Quickstart](serve-getting-started). @@ -31,3 +32,4 @@ Use these advanced guides for more options and configurations: - [Experimental Java API](serve-java-api) - [Run Applications in Different Containers](serve-container-runtime-env-guide) - [Use Custom Algorithm for Request Routing](custom-request-router) +- [Troubleshoot multi-node GPU setups for serving LLMs](multi-node-gpu-troubleshooting) diff --git a/doc/source/serve/advanced-guides/multi-node-gpu-troubleshooting.md b/doc/source/serve/advanced-guides/multi-node-gpu-troubleshooting.md new file mode 100644 index 000000000000..9e8c74ab03a5 --- /dev/null +++ b/doc/source/serve/advanced-guides/multi-node-gpu-troubleshooting.md @@ -0,0 +1,258 @@ +(serve-multi-node-gpu-troubleshooting)= + +# Troubleshoot multi-node GPU serving on KubeRay + +This guide helps you diagnose and resolve common issues when deploying multi-node GPU workloads on KubeRay, particularly for large language model (LLM) serving with vLLM. + +## Debugging strategy + +When encountering issues with multi-node GPU serving, use this systematic approach to isolate the problem: + +1. **Test on different platforms** +Compare behavior between: + - Single node without KubeRay + - Standalone vLLM server on KubeRay + - Ray Serve LLM deployment on KubeRay + +2. **Vary hardware configurations** +Test with different GPU types—for example, A100s vs H100s—to identify hardware-specific issues + +3. **Use minimal reproducers** +Create simplified test cases that isolate specific components (NCCL, model loading, etc.) + +## Common issues and solutions + +### 1. Head pod scheduled on GPU node + +**Symptoms** +- `ray status` shows duplicate GPU resources, for example, 24 GPUs when cluster only has 16 GPUs +- Model serving hangs when using pipeline parallelism (PP > 1) +- Resource allocation conflicts + +**Root Cause** +The Ray head pod is incorrectly scheduled on a GPU worker node, causing resource accounting issues. + +**Solution** +Configure the head pod to use zero GPUs in your RayCluster specification: + +```yaml +apiVersion: ray.io/v1 +kind: RayCluster +metadata: + name: my-cluster +spec: + headGroupSpec: + rayStartParams: + num-cpus: "0" + num-gpus: "0" # Ensure head pod doesn't claim GPU resources. + # ... other head group configuration +``` + +### 2. AWS OFI plugin version issues (H100-specific) + +**Symptoms** +- NCCL initialization failures on H100 instances +- Works fine on A100 but fails on H100 with identical configuration +- Malformed topology files + +**Root Cause** +Outdated `aws-ofi-plugin` in container images causes NCCL topology detection to fail on H100 instances. + +**Related issues** +- [NVIDIA NCCL Issue #1726](https://github.com/NVIDIA/nccl/issues/1726) +- [vLLM Issue #18997](https://github.com/vllm-project/vllm/issues/18997) +- [AWS OFI NCCL Fix](https://github.com/aws/aws-ofi-nccl/pull/916) + +**Solution** +- Update to a newer container image with an updated `aws-ofi-plugin` +- Use the NCCL debugging script below to verify NCCL functions as expected +- Consider hardware-specific configuration adjustments + +## Further troubleshooting + +If you continue to experience issues after following this guide: + +1. **Collect diagnostic information**: Run the NCCL debugging script below and save the output +2. **Check compatibility**: Verify Ray, vLLM, PyTorch, and CUDA versions are compatible +3. **Review logs**: Examine Ray cluster logs and worker pod logs for additional error details +4. **Hardware verification**: Test with different GPU types if possible +5. **Community support**: Share your findings with the Ray and vLLM communities for additional help + +## Additional resources + +- [Ray Multi-Node GPU Guide](https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/gpu.html) +- [vLLM Distributed Serving Documentation](https://docs.vllm.ai/en/latest/serving/distributed_serving.html) +- [NCCL Troubleshooting Guide](https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/troubleshooting.html) + +## NCCL debugging script + +Use this diagnostic script to identify NCCL-related issues in your multi-node GPU setup: + +```python +#!/usr/bin/env python3 +""" +NCCL Diagnostic Script for Multi-Node GPU Serving + +This script helps identify NCCL configuration issues that can cause +multi-node GPU serving failures. Run this script on each node to verify +NCCL function before deploying distributed workloads. + +Usage: python3 multi-node-nccl-check.py +""" +import os +import sys +import socket +import torch +from datetime import datetime + +def log(msg): + """Log messages with timestamp for better debugging.""" + timestamp = datetime.now().strftime("%H:%M:%S") + print(f"[{timestamp}] {msg}", flush=True) + +def print_environment_info(): + """Print relevant environment information for debugging.""" + log("=== Environment Information ===") + log(f"Hostname: {socket.gethostname()}") + log(f"CUDA_VISIBLE_DEVICES: {os.environ.get('CUDA_VISIBLE_DEVICES', 'not set')}") + + # Print all NCCL-related environment variables. + nccl_vars = [var for var in os.environ.keys() if var.startswith('NCCL_')] + if nccl_vars: + log("NCCL Environment Variables:") + for var in sorted(nccl_vars): + log(f" {var}: {os.environ[var]}") + else: + log("No NCCL environment variables set") + +def check_cuda_availability(): + """Verify CUDA is available and functional.""" + log("\n=== CUDA Availability Check ===") + + if not torch.cuda.is_available(): + log("ERROR: CUDA not available") + return False + + device_count = torch.cuda.device_count() + log(f"CUDA device count: {device_count}") + log(f"PyTorch version: {torch.__version__}") + + # Check NCCL availability in PyTorch. + try: + import torch.distributed as dist + if hasattr(torch.distributed, 'nccl'): + log(f"PyTorch NCCL available: {torch.distributed.is_nccl_available()}") + except Exception as e: + log(f"Error checking NCCL availability: {e}") + + return True + +def test_individual_gpus(): + """Test that each GPU is working individually.""" + log("\n=== Individual GPU Tests ===") + + for gpu_id in range(torch.cuda.device_count()): + log(f"\n--- Testing GPU {gpu_id} ---") + + try: + torch.cuda.set_device(gpu_id) + device = torch.cuda.current_device() + + log(f"Device {device}: {torch.cuda.get_device_name(device)}") + + # Print device properties. + props = torch.cuda.get_device_properties(device) + log(f" Compute capability: {props.major}.{props.minor}") + log(f" Total memory: {props.total_memory / 1024**3:.2f} GB") + + # Test basic CUDA operations. + log(" Testing basic CUDA operations...") + tensor = torch.ones(1000, device=f'cuda:{gpu_id}') + result = tensor.sum() + log(f" Basic CUDA test passed: sum = {result.item()}") + + # Test cross-GPU operations if multiple GPUs are available. + if torch.cuda.device_count() > 1: + log(" Testing cross-GPU operations...") + try: + other_gpu = (gpu_id + 1) % torch.cuda.device_count() + test_tensor = torch.randn(10, 10, device=f'cuda:{gpu_id}') + tensor_copy = test_tensor.to(f'cuda:{other_gpu}') + log(f" Cross-GPU copy successful: GPU {gpu_id} -> GPU {other_gpu}") + except Exception as e: + log(f" Cross-GPU copy failed: {e}") + + # Test memory allocation. + log(" Testing large memory allocations...") + try: + large_tensor = torch.zeros(1000, 1000, device=f'cuda:{gpu_id}') + log(" Large memory allocation successful") + del large_tensor + except Exception as e: + log(f" Large memory allocation failed: {e}") + + except Exception as e: + log(f"ERROR testing GPU {gpu_id}: {e}") + import traceback + log(f"Traceback:\n{traceback.format_exc()}") + +def test_nccl_initialization(): + """Test NCCL initialization and basic operations.""" + log("\n=== NCCL Initialization Test ===") + + try: + import torch.distributed as dist + + # Set up single-process NCCL environment. + os.environ['MASTER_ADDR'] = 'localhost' + os.environ['MASTER_PORT'] = '29500' + os.environ['RANK'] = '0' + os.environ['WORLD_SIZE'] = '1' + + log("Attempting single-process NCCL initialization...") + dist.init_process_group( + backend='nccl', + rank=0, + world_size=1 + ) + + log("Single-process NCCL initialization successful!") + + # Test basic NCCL operation. + if torch.cuda.is_available(): + device = torch.cuda.current_device() + tensor = torch.ones(10, device=device) + + # This is a no-op with world_size=1 but exercises NCCL + dist.all_reduce(tensor) + log("NCCL all_reduce test successful!") + + dist.destroy_process_group() + log("NCCL cleanup successful!") + + except Exception as e: + log(f"NCCL initialization failed: {e}") + import traceback + log(f"Full traceback:\n{traceback.format_exc()}") + +def main(): + """Main diagnostic routine.""" + log("Starting NCCL Diagnostic Script") + log("=" * 50) + + print_environment_info() + + if not check_cuda_availability(): + sys.exit(1) + + test_individual_gpus() + test_nccl_initialization() + + log("\n" + "=" * 50) + log("NCCL diagnostic script completed") + log("If you encountered errors, check the specific error messages above") + log("and refer to the troubleshooting guide for solutions.") + +if __name__ == "__main__": + main() + diff --git a/doc/source/serve/tutorials/serve-deepseek.md b/doc/source/serve/tutorials/serve-deepseek.md index 11b759ef4cb7..1905afdf7e7e 100644 --- a/doc/source/serve/tutorials/serve-deepseek.md +++ b/doc/source/serve/tutorials/serve-deepseek.md @@ -161,3 +161,24 @@ curl -X POST http://localhost:8000/v1/chat/completions \ ``` ::: :::: + +## Deploying with KubeRay + +Create a KubeRay cluster using the {ref}`Ray Serve LLM KubeRay guide ` with sufficient GPU resources for DeepSeek R1. For example, two 8xH100 nodes. + +Deploy DeepSeek-R1 as a RayService with the following configuration file: + +```bash +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/master/ray-operator/config/samples/ray-service.deepseek.yaml +``` + +## Troubleshooting + +### Multi-Node GPU Issues + +Since DeepSeek typically requires multi-node GPU deployment, you may encounter issues specific to multi-node GPU serving. Common problems include: + +* **NCCL initialization failures**: Especially on H100 instances due to outdated `aws-ofi-plugin` versions +* **Pipeline parallelism hangs**: When `pipeline_parallel_size > 1`, the model serving may hang due to resource conflicts + +For comprehensive troubleshooting of multi-node GPU serving issues, refer to {ref}`Troubleshooting multi-node GPU serving on KubeRay `. From 1af12a21954d91bf9b02654342aeee75795f3610 Mon Sep 17 00:00:00 2001 From: ok-scale Date: Thu, 10 Jul 2025 11:17:17 -0700 Subject: [PATCH 0139/1566] Feat/fix callback tests (#54507) ## Why are these changes needed? Small change for the tests to use `get_application_url` which fetches URL from client instead of hardcoded one. --------- Co-authored-by: Omkar Kulkarni Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_callback.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/tests/test_callback.py b/python/ray/serve/tests/test_callback.py index 93dbb6324e81..118e443180a1 100644 --- a/python/ray/serve/tests/test_callback.py +++ b/python/ray/serve/tests/test_callback.py @@ -12,10 +12,15 @@ from ray import serve from ray._common.test_utils import wait_for_condition from ray.exceptions import RayActorError +from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import call_function_from_import_path from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.context import _get_global_client -from ray.serve.schema import LoggingConfig, ProxyStatus, ServeInstanceDetails +from ray.serve.schema import ( + LoggingConfig, + ProxyStatus, + ServeInstanceDetails, +) # ==== Callbacks used in this test ==== @@ -141,10 +146,10 @@ def __call__(self, request: starlette.requests.Request): return "Not found custom headers" serve.run(Model.bind()) - resp = httpx.get("http://localhost:8000") + url = get_application_url() + resp = httpx.get(url) assert resp.text == "custom_header_value" - captured = capsys.readouterr() assert "MyCustom message: hello" in captured.err From c266a2e8982af262999a55fbc97238776f41aef7 Mon Sep 17 00:00:00 2001 From: Jugal Shah <47508441+jugalshah291@users.noreply.github.com> Date: Thu, 10 Jul 2025 11:19:17 -0700 Subject: [PATCH 0140/1566] Optimize get_live_deployments (#54454) ## Why are these changes needed? The [_get_live_deployments](https://github.com/ray-project/ray/blob/master/python/ray/serve/_private/application_state.py#L476) function internally calls [get_deployments_in_application](https://github.com/ray-project/ray/blob/master/python/ray/serve/_private/deployment_state.py#L2603) that iterates over self._deployment_state ( that stores all the live deployments) and filters out deployment for a specific app. This is inefficient especially when you have a large of serve application running. (For every serve application we are iterating over all the deployments) ## Related issue number Closes #45793 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [x] This PR is not tested :( --------- Signed-off-by: Jugal Shah Co-authored-by: Jugal Shah Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 24 +++++++++++++------ 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index d30c5ccee6fa..a700bee51e08 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -2520,6 +2520,7 @@ def __init__( self._shutting_down = False self._deployment_states: Dict[DeploymentID, DeploymentState] = {} + self._app_deployment_mapping: Dict[str, Set[str]] = defaultdict(set) self._recover_from_checkpoint( all_current_actor_names, all_current_placement_group_names @@ -2644,6 +2645,9 @@ def _recover_from_checkpoint( deployment_to_current_replicas[deployment_id] ) self._deployment_states[deployment_id] = deployment_state + self._app_deployment_mapping[deployment_id.app_name].add( + deployment_id.name + ) def shutdown(self): """ @@ -2793,19 +2797,14 @@ def deploy( self._deployment_states[deployment_id] = self._create_deployment_state( deployment_id ) + self._app_deployment_mapping[deployment_id.app_name].add(deployment_id.name) self._record_deployment_usage() return self._deployment_states[deployment_id].deploy(deployment_info) def get_deployments_in_application(self, app_name: str) -> List[str]: """Return list of deployment names in application.""" - - deployments = [] - for deployment_id in self._deployment_states: - if deployment_id.app_name == app_name: - deployments.append(deployment_id.name) - - return deployments + return list(self._app_deployment_mapping[app_name]) def delete_deployment(self, id: DeploymentID): # This method must be idempotent. We should validate that the @@ -2907,6 +2906,17 @@ def update(self) -> bool: self._deployment_scheduler.on_deployment_deleted(deployment_id) self._autoscaling_state_manager.deregister_deployment(deployment_id) del self._deployment_states[deployment_id] + if ( + deployment_id.app_name in self._app_deployment_mapping + and deployment_id.name + in self._app_deployment_mapping[deployment_id.app_name] + ): + self._app_deployment_mapping[deployment_id.app_name].remove( + deployment_id.name + ) + # Clean up the app_name entry if no deployments are left + if not self._app_deployment_mapping[deployment_id.app_name]: + del self._app_deployment_mapping[deployment_id.app_name] if len(deleted_ids): self._record_deployment_usage() From 05468a97284e7717ad60a144f5ea13ef3ec9b9c5 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 10 Jul 2025 11:52:16 -0700 Subject: [PATCH 0141/1566] [serve] fix `test_standalone_2` (#54508) In the python 3.12 builds, `test_standalone_2.py::test_controller_deserialization_deployment_def` is failing to import `test_config_files.pizza.serve_dag`. Change to `ray.serve.tests.test_config_files.pizza.serve_dag`. Signed-off-by: Cindy Zhang Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_standalone_2.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_standalone_2.py b/python/ray/serve/tests/test_standalone_2.py index dd197864e40a..15ba8d2bf662 100644 --- a/python/ray/serve/tests/test_standalone_2.py +++ b/python/ray/serve/tests/test_standalone_2.py @@ -206,7 +206,7 @@ def run_graph(): from ray._common.utils import import_attr # Import and build the graph - graph = import_attr("test_config_files.pizza.serve_dag") + graph = import_attr("ray.serve.tests.test_config_files.pizza.serve_dag") # Run the graph locally on the cluster serve.run(graph) From 305bcb5da3b74a66f42d7d6c6eabdf909dd46e39 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Thu, 10 Jul 2025 12:00:01 -0700 Subject: [PATCH 0142/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (2/N): Incremental refactor of LLMEngine (#54443) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_engine.py | 10 +--- .../serve/deployments/llm/vllm/vllm_engine.py | 40 +++++--------- .../serve/deployments/llm/vllm/vllm_models.py | 55 ++++++++++++++++++- 3 files changed, 70 insertions(+), 35 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py index b55720ab85d2..cd32c4640005 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py @@ -1,8 +1,6 @@ import abc from typing import AsyncGenerator, Optional -from transformers.dynamic_module_utils import init_hf_modules - from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, GenerationRequest, @@ -15,12 +13,10 @@ class LLMEngine(abc.ABC): """Base class for all LLM engines""" + @abc.abstractmethod def __init__(self, llm_config: LLMConfig): - self._llm_config = llm_config - - # Ensure transformers_modules is initialized early in worker processes. - # This is critical for models with trust_remote_code=True to avoid pickle errors. - init_hf_modules() + """Initialize the engine with the llm config""" + pass @abc.abstractmethod async def start(self): diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index dd423880a4f1..8087626086b6 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -5,6 +5,8 @@ from concurrent.futures.thread import ThreadPoolExecutor from typing import TYPE_CHECKING, AsyncGenerator, List, Optional, Tuple +from transformers.dynamic_module_utils import init_hf_modules + import ray from ray.llm._internal.common.utils.import_utils import try_import from ray.llm._internal.serve.configs.constants import ( @@ -76,35 +78,15 @@ ) -def _get_async_engine_args(llm_config: LLMConfig) -> "AsyncEngineArgs": - engine_config = llm_config.get_engine_config() - - # This `model` is the local path on disk, or the hf model id. - # If it is the hf_model_id, vLLM automatically downloads the correct model from HF. - # We want this to be the local path on the disk when we already downloaded the - # model artifacts from a remote storage during node initialization, - # so vLLM will not require HF token for it and try to download it again. - model = engine_config.actual_hf_model_id - if isinstance(llm_config.model_loading_config.model_source, str): - model = llm_config.model_loading_config.model_source - - return vllm.AsyncEngineArgs( - **{ - "model": model, - "distributed_executor_backend": "ray", - "guided_decoding_backend": RAYLLM_GUIDED_DECODING_BACKEND, - "disable_log_stats": False, - **engine_config.get_initialization_kwargs(), - } - ) - - def _get_vllm_engine_config( llm_config: LLMConfig, ) -> Tuple["AsyncEngineArgs", "VllmConfig"]: - async_engine_args = _get_async_engine_args(llm_config) - vllm_config = async_engine_args.create_engine_config() - return async_engine_args, vllm_config + engine_config = llm_config.get_engine_config() + async_engine_args = vllm.engine.arg_utils.AsyncEngineArgs( + **engine_config.get_initialization_kwargs() + ) + vllm_engine_config = async_engine_args.create_engine_config() + return async_engine_args, vllm_engine_config def _clear_current_platform_cache(): @@ -151,6 +133,12 @@ def __init__( """ super().__init__(llm_config) + # Ensure transformers_modules is initialized early in worker processes. + # This is critical for models with trust_remote_code=True to avoid pickle errors. + init_hf_modules() + + self.llm_config = llm_config + if vllm is None: raise ImportError( "vLLM is not installed. Please install it with `pip install ray[llm]`." diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 91dc471474b7..f0c79e636e23 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -1,7 +1,9 @@ +import dataclasses import os from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union from pydantic import ConfigDict, Field, ValidationError, field_validator +from vllm.engine.arg_utils import AsyncEngineArgs from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.common.utils.cloud_utils import CloudMirrorConfig @@ -9,6 +11,7 @@ from ray.llm._internal.serve.configs.constants import ( ALLOW_NEW_PLACEMENT_GROUPS_IN_DEPLOYMENT, ENV_VARS_TO_PROPAGATE, + RAYLLM_GUIDED_DECODING_BACKEND, ) from ray.llm._internal.serve.configs.prompt_formats import Prompt from ray.llm._internal.serve.configs.server_models import ( @@ -64,6 +67,7 @@ class VLLMEngineConfig(BaseModelExtended): ) runtime_env: Optional[Dict[str, Any]] = None engine_kwargs: Dict[str, Any] = {} + frontend_kwargs: Dict[str, Any] = {} @property def actual_hf_model_id(self) -> str: @@ -82,7 +86,36 @@ def get_initialization_kwargs(self) -> dict: Get kwargs that will be actually passed to the LLMInitializer constructor. """ - return self.engine_kwargs.copy() + engine_kwargs = self.engine_kwargs.copy() + + if "model" in engine_kwargs or "served_model_name" in engine_kwargs: + raise ValueError( + "model or served_model_name is not allowed in engine_kwargs when using Ray Serve LLM. Please use `model_loading_config` in LLMConfig instead." + ) + + engine_kwargs["model"] = self.actual_hf_model_id + engine_kwargs["served_model_name"] = [self.model_id] + + if ( + "distributed_executor_backend" in engine_kwargs + and engine_kwargs["distributed_executor_backend"] != "ray" + ): + raise ValueError( + "distributed_executor_backend != 'ray' is not allowed in engine_kwargs when using Ray Serve LLM Configs." + ) + else: + engine_kwargs["distributed_executor_backend"] = "ray" + + if "disable_log_stats" in engine_kwargs and engine_kwargs["disable_log_stats"]: + logger.warning( + "disable_log_stats = True is not allowed in engine_kwargs when using Ray Serve LLM Configs. Setting it to False." + ) + engine_kwargs["disable_log_stats"] = False + + if "guided_decoding_backend" not in engine_kwargs: + engine_kwargs["guided_decoding_backend"] = RAYLLM_GUIDED_DECODING_BACKEND + + return engine_kwargs def get_runtime_env_with_local_env_vars(self) -> dict: runtime_env = self.runtime_env or {} @@ -107,13 +140,31 @@ def from_llm_config(cls, llm_config: LLMConfig) -> "VLLMEngineConfig": # If it's a CloudMirrorConfig (or subtype) mirror_config = llm_config.model_loading_config.model_source + all_engine_kwargs = llm_config.engine_kwargs.copy() + engine_kwargs = {} + frontend_kwargs = {} + + # Get field names from dataclasses + async_engine_field_names = { + field.name for field in dataclasses.fields(AsyncEngineArgs) + } + + for key, value in all_engine_kwargs.items(): + if key in async_engine_field_names: + engine_kwargs[key] = value + else: + # Assume anything that is not an engine argument is a frontend + # argument. + frontend_kwargs[key] = value + return VLLMEngineConfig( model_id=llm_config.model_id, hf_model_id=hf_model_id, mirror_config=mirror_config, resources_per_bundle=llm_config.resources_per_bundle, accelerator_type=llm_config.accelerator_type, - engine_kwargs=llm_config.engine_kwargs, + engine_kwargs=engine_kwargs, + frontend_kwargs=frontend_kwargs, runtime_env=llm_config.runtime_env, ) From 63fcd3259de6512619d8e8a1a06bd0b78262b224 Mon Sep 17 00:00:00 2001 From: ok-scale Date: Thu, 10 Jul 2025 12:43:53 -0700 Subject: [PATCH 0143/1566] Feat/add websocket support for di (#54490) ## Why are these changes needed? This PR updates tests for websockets to use `get_application_url()` which pulls existing URL from `global_client` instead of hardcoded one for `ws`. --------- Signed-off-by: ok-scale Co-authored-by: Omkar Kulkarni Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 16 +++++++++-- python/ray/serve/tests/test_websockets.py | 35 +++++++++++++++++------ 2 files changed, 40 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index eff608338e89..22de17cf97e0 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -709,6 +709,7 @@ def get_application_urls( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, use_localhost: bool = False, + is_websocket: bool = False, exclude_route_prefix: bool = False, ) -> List[str]: """Get the URL of the application. @@ -719,6 +720,7 @@ def get_application_urls( use_localhost: Whether to use localhost instead of the IP address. Set to True if Serve deployments are not exposed publicly or for low latency benchmarking. + is_websocket: Whether the url should be served as a websocket. exclude_route_prefix: The route prefix to exclude from the application. Returns: The URLs of the application. @@ -740,6 +742,7 @@ def get_application_urls( for target_group in target_groups if target_group.protocol == protocol ] + if len(target_groups) == 0: raise ValueError( f"No target group found for app {app_name} with protocol {protocol} and route prefix {route_prefix}" @@ -749,8 +752,13 @@ def get_application_urls( for target in target_group.targets: ip = "localhost" if use_localhost else target.ip if protocol == RequestProtocol.HTTP: - url = f"http://{ip}:{target.port}{route_prefix}" + scheme = "ws" if is_websocket else "http" + url = f"{scheme}://{ip}:{target.port}{route_prefix}" elif protocol == RequestProtocol.GRPC: + if is_websocket: + raise ValueError( + "is_websocket=True is not supported with gRPC protocol." + ) url = f"{ip}:{target.port}" else: raise ValueError(f"Unsupported protocol: {protocol}") @@ -763,6 +771,7 @@ def get_application_url( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, use_localhost: bool = False, + is_websocket: bool = False, exclude_route_prefix: bool = False, ) -> str: """Get the URL of the application. @@ -773,10 +782,13 @@ def get_application_url( use_localhost: Whether to use localhost instead of the IP address. Set to True if Serve deployments are not exposed publicly or for low latency benchmarking. + is_websocket: Whether the url should be served as a websocket. exclude_route_prefix: The route prefix to exclude from the application. Returns: The URL of the application. If there are multiple URLs, a random one is returned. """ return random.choice( - get_application_urls(protocol, app_name, use_localhost, exclude_route_prefix) + get_application_urls( + protocol, app_name, use_localhost, is_websocket, exclude_route_prefix + ) ) diff --git a/python/ray/serve/tests/test_websockets.py b/python/ray/serve/tests/test_websockets.py index 13b7519aa033..245b6cea33de 100644 --- a/python/ray/serve/tests/test_websockets.py +++ b/python/ray/serve/tests/test_websockets.py @@ -9,6 +9,7 @@ from websockets.sync.client import connect from ray import serve +from ray.serve._private.test_utils import get_application_url @pytest.mark.parametrize("route_prefix", [None, "/prefix"]) @@ -31,10 +32,8 @@ async def ws_handler(self, ws: WebSocket): serve.run(WebSocketServer.bind(), route_prefix=route_prefix or "/") msg = "Hello world!" - if route_prefix: - url = f"ws://localhost:8000{route_prefix}/" - else: - url = "ws://localhost:8000/" + url = f"{get_application_url(is_websocket=True, use_localhost=True)}/" + with connect(url) as websocket: websocket.send(msg) assert websocket.recv() == msg @@ -67,8 +66,9 @@ async def ws_handler(self, ws: WebSocket): h = serve.run(WebSocketServer.bind()) wait_response = h.wait_for_disconnect.remote() + url = f"{get_application_url(is_websocket=True)}/" - with connect("ws://localhost:8000"): + with connect(url): print("Client connected.") wait_response.result() @@ -76,6 +76,7 @@ async def ws_handler(self, ws: WebSocket): @pytest.mark.skipif(sys.platform == "win32", reason="Hanging on Windows.") def test_server_disconnect(serve_instance): + """Test that server can properly close WebSocket connections.""" app = FastAPI() @serve.deployment @@ -84,9 +85,23 @@ class WebSocketServer: @app.websocket("/") async def ws_handler(self, ws: WebSocket): await ws.accept() + # Wait for client message, then close with specific code + message = await ws.receive_text() + close_code = int(message) + await ws.close(code=close_code) serve.run(WebSocketServer.bind()) - with connect("ws://localhost:8000") as websocket: + url = f"{get_application_url(is_websocket=True)}/" + + # Test normal close (code 1000) + with connect(url) as websocket: + websocket.send("1000") + with pytest.raises(ConnectionClosed): + websocket.recv() + + # Test abnormal close (code 1011) + with connect(url) as websocket: + websocket.send("1011") with pytest.raises(ConnectionClosed): websocket.recv() @@ -119,14 +134,16 @@ async def ws_hi(self, ws: WebSocket): serve.run(RenaissanceMan.bind()) - assert httpx.get("http://localhost:8000/").json() == "hi" + http_url = get_application_url() + assert httpx.get(http_url).json() == "hi" - with httpx.stream("GET", "http://localhost:8000/stream") as r: + with httpx.stream("GET", f"{http_url}/stream") as r: r.raise_for_status() for chunk in r.iter_text(): assert chunk == "hi" - with connect("ws://localhost:8000/ws") as ws: + url = get_application_url(is_websocket=True) + with connect(f"{url}/ws") as ws: ws.send("hi") assert ws.recv() == "hi" From 84611b3dd707f27764ba3a2f99f0920f1f18e1aa Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 10 Jul 2025 13:10:11 -0700 Subject: [PATCH 0144/1566] [serve] deflake test_replica_metrics_fields (#54493) The `serve_deployment_replica_healthy` metric is reported from the controller which is a separate process from the replica. So by the time metrics like `serve_deployment_error_counter_total` are reported, even though it's guaranteed that the replica is up and alive, it's not guaranteed that the metrics from the controller have been reported yet. Use wait_for_condition when checking for `serve_deployment_replica_healthy` instead of a direct assertion. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_metrics.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index f27443f3bb9d..bef783d82579 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -957,8 +957,10 @@ def h(): err_requests[0]["application"], ) == expected_output + wait_for_condition( + lambda: len(get_metric_dictionaries("serve_deployment_replica_healthy")) == 3, + ) health_metrics = get_metric_dictionaries("serve_deployment_replica_healthy") - assert len(health_metrics) == 3, health_metrics expected_output = { ("f", "app1"), ("g", "app2"), From 7131eb8ba7922953f699e57833a32261f1aa750c Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Fri, 11 Jul 2025 01:55:03 +0530 Subject: [PATCH 0145/1566] increase timeout for wait condition (#54503) - increase timeout for wait condition so that logs can get populate properly - wait for 10 seconds instead of 2 seconds in the `test_context_information_in_logging` test, also, earlier we were breaking the loop as soon as we find anything, breaking that pattern now. Now we will wait for 10 seconds, and get all the content to check against the expected info --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_logging.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 6ce4be0a9c75..76240fb97636 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -417,7 +417,7 @@ def verify_http_response_in_logs( line_checker, captured_lines = create_line_checker( log_file_path, start_position ) - wait_for_condition(line_checker, retry_interval_ms=1000) + wait_for_condition(line_checker, retry_interval_ms=1000, timeout=25) new_log_lines = captured_lines["lines"] # Step 4: Verify HTTP response matches new log lines @@ -645,19 +645,19 @@ def __call__(self, req: starlette.requests.Request): ] def check_log(): - logs_content = "" - for _ in range(20): - time.sleep(0.1) - logs_content = f.getvalue() - if logs_content: - break + logs_content = f.getvalue() for expected_log_info in expected_log_infos: assert expected_log_info in logs_content for regex in user_log_regexes: assert re.findall(regex, logs_content) != [] + return True # Check stream log - check_log() + wait_for_condition( + check_log, + timeout=25, + retry_interval_ms=100, + ) # Check user log file method_replica_id = resp["replica"].split("#")[-1] From bdd9f202610f0ee1824f455a3e3782ffc09d746e Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 10 Jul 2025 13:26:54 -0700 Subject: [PATCH 0146/1566] [Serve] Update timeout to 20 for test_deploy_bad_pip_package_deployment (#54510) Updating the timeout as it's confirmed that it takes around 17-18 seconds for our systems to confirm the deployment status of `DEPLOY_FAILED`. Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy_2.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index d83c4eb0afc1..8a1b701b835f 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -243,8 +243,7 @@ def check_fail(): assert "No matching distribution found for does_not_exist" in deployment_message return True - # TODO: Figure out why timeout 30 is needed instead of 15 or lower the timeout to 15. - wait_for_condition(check_fail, timeout=30) + wait_for_condition(check_fail, timeout=20) def test_deploy_same_deployment_name_different_app(serve_instance): From 7e99da025afeeb3ca63457d2a9e331c44c7d0591 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 10 Jul 2025 13:27:48 -0700 Subject: [PATCH 0147/1566] [serve] deflake test_e2e_preserve_prev_replicas (#54513) Try to deflake `test_autoscaling_policy.py::test_e2e_preserve_prev_replicas`. Wait for the number of replicas reported by the controller to reach 2 instead of just waiting for the actors to be alive. The moment the controller registers 2 running replicas, all handles should immediately be updated with new replicas. Also send 20 requests instead of 10 to increase chances of sending request to both replicas. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 13 +++++++++++-- python/ray/serve/tests/test_autoscaling_policy.py | 3 ++- 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index 22de17cf97e0..daa8595e5338 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -295,11 +295,20 @@ def check_num_replicas_gte( def check_num_replicas_eq( - name: str, target: int, app_name: str = SERVE_DEFAULT_APP_NAME + name: str, + target: int, + app_name: str = SERVE_DEFAULT_APP_NAME, + use_controller: bool = False, ) -> int: """Check if num replicas is == target.""" - assert get_num_alive_replicas(name, app_name) == target + if use_controller: + dep = serve.status().applications[app_name].deployments[name] + num_running_replicas = dep.replica_states.get(ReplicaState.RUNNING, 0) + assert num_running_replicas == target + else: + assert get_num_alive_replicas(name, app_name) == target + return True diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 17e3c51c3993..4421006e16f5 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -957,12 +957,13 @@ def scaler(): handle = serve.run(scaler.bind()) dep_id = DeploymentID(name="scaler") - responses = [handle.remote() for _ in range(10)] + responses = [handle.remote() for _ in range(20)] wait_for_condition( check_num_replicas_eq, name="scaler", target=2, + use_controller=True, retry_interval_ms=1000, timeout=20, ) From c18c1f843765df56573e4612fac69c0987f181c5 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 10 Jul 2025 17:18:48 -0400 Subject: [PATCH 0148/1566] [core] Don't order retries for in-order actors to prevent deadlock (#54034) ## Problem Consider this sequence of events: 1. Create Actor A with max_task_retries > 0 2. Submit Actor Task A1 3. Submit Actor Task A2 that depends on A1 4. A1 initially fails and gets retried 5. The A1 retry will wait on the completion of A2 and A2 will wait on the output of A1 forever. This deadlock currently happens because we give the A1 a new sequence number which is the current max sequence number + 1. So the sequence number for A1 will be 1, A2 will be 2, A1 retry will be 3. ## Solution On the submitter side: - In the sequential submit queue, add a `retry_requests`. When popping the next task to send we'll first try to pop tasks with ready dependencies from the `retry_requests`. - Set `skip_queue` to true for retries. Setting `skip_queue` sets `client_processed_up_to` in the push task req to -1, and therefore `next_seq_no_` on the executor scheduling queue side will be unaffected. On the executor side : - In the actor scheduling queue, add a `pending_retry_actor_tasks_` map. If the task comes in and is a retry, it will be added to this map. Since retries get new seq numbers it's ok the key by the seq number. - When scheduling requests, try to schedule from `pending_retry_actor_tasks_` first before `pending_actor_tasks_`. - Add the seq no's for the retries to a `seq_no_to_skip_` set. Skip these sequence numbers when trying to match `next_seq_no_` with the head of `pending_actor_tasks_`. *See comments for more motivation behind the changes. Additional submitter side changes: - Turn the submit queue Get into DependencyResolved because that was really its only purpose. - Kill unnecessary next_send_position_ in the sequential submit queue which is just the seq no of the earliest task to submit. - Make the submit queue Emplace return void instead of bool. The bool was just used for RAY_CHECK's outside. Now the RAY_CHECK happens inside Emplace - Remove CreateEqualsConditionChecker in the test because it's unnecessary indirection and the lambda it's supposed to replace can take up less chars then the actual function call. --------- Signed-off-by: dayshah Signed-off-by: Dhyey Shah Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor_retry_2.py | 41 ++++++ .../test/actor_submit_queue_test.cc | 25 ++-- .../test/actor_task_submitter_test.cc | 2 +- .../core_worker/test/scheduling_queue_test.cc | 138 +++++++++++------- .../transport/actor_scheduling_queue.cc | 118 ++++++++++----- .../transport/actor_scheduling_queue.h | 12 +- .../transport/actor_submit_queue.h | 10 +- .../transport/actor_task_submitter.cc | 14 +- .../out_of_order_actor_submit_queue.cc | 20 +-- .../out_of_order_actor_submit_queue.h | 10 +- .../sequential_actor_submit_queue.cc | 83 +++++++---- .../transport/sequential_actor_submit_queue.h | 25 ++-- 12 files changed, 324 insertions(+), 174 deletions(-) diff --git a/python/ray/tests/test_actor_retry_2.py b/python/ray/tests/test_actor_retry_2.py index 45ab530b45d8..fb5fde7f503a 100644 --- a/python/ray/tests/test_actor_retry_2.py +++ b/python/ray/tests/test_actor_retry_2.py @@ -2,6 +2,7 @@ import sys from collections import defaultdict from typing import Optional +from ray._common.test_utils import SignalActor import pytest @@ -338,5 +339,45 @@ def test_task_retries_on_exit(ray_start_regular_shared): ] +def test_retry_dependent_task_on_same_actor(ray_start_regular_shared): + """ + 1. Create an actor + 2. Submit an actor task (one). + 3. Submit another actor task (two) that depends on the output of one. + 4. Allow the first attempt of one to fail. + 5. Expect the second attempt of one to be run, and for two to be unblocked. + + The goal of this test is to make sure later actor tasks with dependencies on + earlier ones don't result in deadlock when the earlier tasks need to be retried. + See https://github.com/ray-project/ray/pull/54034 for more context. + """ + + @ray.remote + class Actor: + def __init__(self): + self._counter = 0 + + @ray.method(max_task_retries=1, retry_exceptions=[MyError]) + def one(self, signal_actor): + ray.get(signal_actor.wait.remote()) + self._counter += 1 + # Fail on the first invocation. + if self._counter <= 1: + raise MyError() + return 1 + + def two(self, one_output): + return 2 + + signal_actor = SignalActor.remote() + actor = Actor.remote() + one_output_ref = actor.one.remote(signal_actor) + two_output_ref = actor.two.remote(one_output_ref) + # Unblock so the first attempt can fail and the second attempt gets submitted. + ray.get(signal_actor.send.remote()) + + assert ray.get(two_output_ref) == 2 + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/core_worker/test/actor_submit_queue_test.cc b/src/ray/core_worker/test/actor_submit_queue_test.cc index 74321afa9ece..d12f38ebd0a9 100644 --- a/src/ray/core_worker/test/actor_submit_queue_test.cc +++ b/src/ray/core_worker/test/actor_submit_queue_test.cc @@ -13,6 +13,7 @@ // limitations under the License. #include +#include #include #include "gtest/gtest.h" @@ -22,6 +23,7 @@ namespace ray { namespace core { namespace { + TaskSpecification BuildTaskSpec(uint64_t seq) { TaskSpecification spec; spec.GetMutableMessage().set_task_id(TaskID::FromRandom(JobID()).Binary()); @@ -29,27 +31,29 @@ TaskSpecification BuildTaskSpec(uint64_t seq) { spec.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(seq); return spec; } + } // namespace TEST(OutofOrderActorSubmitQueueTest, PassThroughTest) { OutofOrderActorSubmitQueue queue(ActorID{}); // insert request 0 1 2 3 4 + std::vector task_ids; for (uint64_t i = 0; i < 5; i++) { - EXPECT_TRUE(queue.Emplace(i, BuildTaskSpec(i))); + auto spec = BuildTaskSpec(i); + task_ids.push_back(spec.TaskId()); + queue.Emplace(i, std::move(spec)); } - // insert request 0 again fails - EXPECT_FALSE(queue.Emplace(0, BuildTaskSpec(0))); // contains and gets for (uint64_t i = 0; i < 5; i++) { EXPECT_TRUE(queue.Contains(i)); - EXPECT_FALSE(queue.Get(i).second); + EXPECT_FALSE(queue.DependenciesResolved(i)); } // dependency failure remove request 4 queue.MarkDependencyFailed(4); for (uint64_t i = 0; i < 5; i++) { if (i != 4) { EXPECT_TRUE(queue.Contains(i)); - EXPECT_FALSE(queue.Get(i).second); + EXPECT_FALSE(queue.DependenciesResolved(i)); } else { EXPECT_FALSE(queue.Contains(i)); } @@ -64,9 +68,9 @@ TEST(OutofOrderActorSubmitQueueTest, PassThroughTest) { for (uint64_t i = 0; i < 4; i++) { EXPECT_TRUE(queue.Contains(i)); if (i == 1 || i == 3) { - EXPECT_TRUE(queue.Get(i).second); + EXPECT_TRUE(queue.DependenciesResolved(i)); } else { - EXPECT_FALSE(queue.Get(i).second); + EXPECT_FALSE(queue.DependenciesResolved(i)); } } @@ -79,18 +83,17 @@ TEST(OutofOrderActorSubmitQueueTest, PassThroughTest) { for (uint64_t i = 0; i < 5; i++) { if (i == 0 || i == 2) { EXPECT_TRUE(queue.Contains(i)); - EXPECT_FALSE(queue.Get(i).second); + EXPECT_FALSE(queue.DependenciesResolved(i)); } else { EXPECT_FALSE(queue.Contains(i)); } } queue.MarkDependencyResolved(2); - std::vector task_ids = {queue.Get(0).first.TaskId(), - queue.Get(2).first.TaskId()}; + std::vector expected_cleared_task_ids = {task_ids[0], task_ids[2]}; // clear all tasks. auto ret = queue.ClearAllTasks(); - EXPECT_EQ(ret, task_ids); + EXPECT_EQ(ret, expected_cleared_task_ids); for (uint64_t i = 0; i < 5; i++) { EXPECT_FALSE(queue.Contains(i)); } diff --git a/src/ray/core_worker/test/actor_task_submitter_test.cc b/src/ray/core_worker/test/actor_task_submitter_test.cc index 7cc46fefefa3..2b0f8807ce6f 100644 --- a/src/ray/core_worker/test/actor_task_submitter_test.cc +++ b/src/ray/core_worker/test/actor_task_submitter_test.cc @@ -78,7 +78,7 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { rpc::Address addr; absl::flat_hash_map> callbacks; - std::vector received_seq_nos; + std::vector received_seq_nos; int64_t acked_seqno = 0; }; diff --git a/src/ray/core_worker/test/scheduling_queue_test.cc b/src/ray/core_worker/test/scheduling_queue_test.cc index 7718d0dd671b..ab473f587670 100644 --- a/src/ray/core_worker/test/scheduling_queue_test.cc +++ b/src/ray/core_worker/test/scheduling_queue_test.cc @@ -32,15 +32,6 @@ using std::chrono_literals::operator""s; namespace ray { namespace core { -// Helper function that returns a condition checker to verify if a variable equals a -// target value. It uses an atomic variable to avoid race conditions between the main -// thread and the underlying executor (i.e., thread), which may result in errors from -// ASAN. -std::function CreateEqualsConditionChecker(const std::atomic *var, - int target) { - return [var, target]() { return var->load() == target; }; -} - class MockWaiter : public DependencyWaiter { public: MockWaiter() {} @@ -75,7 +66,7 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { std::vector> task_events; }; -TEST(SchedulingQueueTest, TestTaskEvents) { +TEST(ActorSchedulingQueueTest, TestTaskEvents) { // Test task events are recorded. instrumented_io_context io_service; MockWaiter waiter; @@ -147,7 +138,7 @@ TEST(SchedulingQueueTest, TestTaskEvents) { queue.Stop(); } -TEST(SchedulingQueueTest, TestInOrder) { +TEST(ActorSchedulingQueueTest, TestInOrder) { instrumented_io_context io_service; MockWaiter waiter; MockTaskEventBuffer task_event_buffer; @@ -182,7 +173,7 @@ TEST(SchedulingQueueTest, TestInOrder) { queue.Stop(); } -TEST(SchedulingQueueTest, TestWaitForObjects) { +TEST(ActorSchedulingQueueTest, TestWaitForObjects) { ObjectID obj = ObjectID::FromRandom(); instrumented_io_context io_service; MockWaiter waiter; @@ -214,13 +205,13 @@ TEST(SchedulingQueueTest, TestWaitForObjects) { queue.Add(2, -1, fn_ok, fn_rej, nullptr, task_spec_with_dependency); queue.Add(3, -1, fn_ok, fn_rej, nullptr, task_spec_with_dependency); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 1; }, 1000)); waiter.Complete(0); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 2), 1000)); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 2; }, 1000)); waiter.Complete(2); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 2), 1000)); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 2; }, 1000)); waiter.Complete(1); @@ -233,7 +224,7 @@ TEST(SchedulingQueueTest, TestWaitForObjects) { queue.Stop(); } -TEST(SchedulingQueueTest, TestWaitForObjectsNotSubjectToSeqTimeout) { +TEST(ActorSchedulingQueueTest, TestWaitForObjectsNotSubjectToSeqTimeout) { ObjectID obj = ObjectID::FromRandom(); instrumented_io_context io_service; MockWaiter waiter; @@ -263,7 +254,7 @@ TEST(SchedulingQueueTest, TestWaitForObjectsNotSubjectToSeqTimeout) { queue.Add(0, -1, fn_ok, fn_rej, nullptr, task_spec_without_dependency); queue.Add(1, -1, fn_ok, fn_rej, nullptr, task_spec_with_dependency); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 1; }, 1000)); io_service.run(); ASSERT_EQ(n_rej, 0); waiter.Complete(0); @@ -277,7 +268,7 @@ TEST(SchedulingQueueTest, TestWaitForObjectsNotSubjectToSeqTimeout) { queue.Stop(); } -TEST(SchedulingQueueTest, TestOutOfOrder) { +TEST(ActorSchedulingQueueTest, TestSeqWaitTimeout) { instrumented_io_context io_service; MockWaiter waiter; MockTaskEventBuffer task_event_buffer; @@ -287,8 +278,9 @@ TEST(SchedulingQueueTest, TestOutOfOrder) { std::make_shared>(concurrency_groups); ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); - int n_ok = 0; - int n_rej = 0; + std::atomic n_ok(0); + std::atomic n_rej(0); + auto fn_ok = [&n_ok](const TaskSpecification &task_spec, rpc::SendReplyCallback callback) { n_ok++; }; auto fn_rej = [&n_rej](const TaskSpecification &task_spec, @@ -299,20 +291,25 @@ TEST(SchedulingQueueTest, TestOutOfOrder) { queue.Add(2, -1, fn_ok, fn_rej, nullptr, task_spec); queue.Add(0, -1, fn_ok, fn_rej, nullptr, task_spec); queue.Add(3, -1, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(1, -1, fn_ok, fn_rej, nullptr, task_spec); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 1; }, 1000)); + ASSERT_EQ(n_rej, 0); io_service.run(); + ASSERT_TRUE(WaitForCondition([&n_ok]() { return n_ok == 1; }, 1000)); + ASSERT_TRUE(WaitForCondition([&n_rej]() { return n_rej == 2; }, 1000)); + queue.Add(4, -1, fn_ok, fn_rej, nullptr, task_spec); + queue.Add(5, -1, fn_ok, fn_rej, nullptr, task_spec); // Wait for all tasks to finish. auto default_executor = pool_manager->GetDefaultExecutor(); default_executor->Join(); - ASSERT_EQ(n_ok, 4); - ASSERT_EQ(n_rej, 0); + ASSERT_EQ(n_ok, 3); + ASSERT_EQ(n_rej, 2); queue.Stop(); } -TEST(SchedulingQueueTest, TestSeqWaitTimeout) { +TEST(ActorSchedulingQueueTest, TestSkipAlreadyProcessedByClient) { instrumented_io_context io_service; MockWaiter waiter; MockTaskEventBuffer task_event_buffer; @@ -324,7 +321,6 @@ TEST(SchedulingQueueTest, TestSeqWaitTimeout) { ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); std::atomic n_ok(0); std::atomic n_rej(0); - auto fn_ok = [&n_ok](const TaskSpecification &task_spec, rpc::SendReplyCallback callback) { n_ok++; }; auto fn_rej = [&n_rej](const TaskSpecification &task_spec, @@ -332,62 +328,96 @@ TEST(SchedulingQueueTest, TestSeqWaitTimeout) { rpc::SendReplyCallback callback) { n_rej++; }; TaskSpecification task_spec; task_spec.GetMutableMessage().set_type(TaskType::ACTOR_TASK); - queue.Add(2, -1, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(0, -1, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(3, -1, fn_ok, fn_rej, nullptr, task_spec); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); - ASSERT_EQ(n_rej, 0); + queue.Add(2, 2, fn_ok, fn_rej, nullptr, task_spec); + queue.Add(3, 2, fn_ok, fn_rej, nullptr, task_spec); + queue.Add(1, 2, fn_ok, fn_rej, nullptr, task_spec); io_service.run(); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_ok, 1), 1000)); - ASSERT_TRUE(WaitForCondition(CreateEqualsConditionChecker(&n_rej, 2), 1000)); - queue.Add(4, -1, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(5, -1, fn_ok, fn_rej, nullptr, task_spec); // Wait for all tasks to finish. auto default_executor = pool_manager->GetDefaultExecutor(); default_executor->Join(); - ASSERT_EQ(n_ok, 3); + ASSERT_EQ(n_ok, 1); ASSERT_EQ(n_rej, 2); queue.Stop(); } -TEST(SchedulingQueueTest, TestSkipAlreadyProcessedByClient) { +namespace { + +TaskSpecification CreateActorTaskSpec(int64_t seq_no, + bool is_retry = false, + bool dependency = false) { + TaskSpecification task_spec; + task_spec.GetMutableMessage().set_type(TaskType::ACTOR_TASK); + task_spec.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(seq_no); + task_spec.GetMutableMessage().set_attempt_number(is_retry ? 1 : 0); + if (dependency) { + task_spec.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( + ObjectID::FromRandom().Binary()); + } + return task_spec; +} + +} // namespace + +TEST(ActorSchedulingQueueTest, TestRetryInOrderSchedulingQueue) { + // Setup instrumented_io_context io_service; MockWaiter waiter; MockTaskEventBuffer task_event_buffer; - std::vector concurrency_groups{ConcurrencyGroup{"io", 1, {}}}; auto pool_manager = std::make_shared>(concurrency_groups); - ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); - std::atomic n_ok(0); - std::atomic n_rej(0); - auto fn_ok = [&n_ok](const TaskSpecification &task_spec, - rpc::SendReplyCallback callback) { n_ok++; }; - auto fn_rej = [&n_rej](const TaskSpecification &task_spec, - const Status &status, - rpc::SendReplyCallback callback) { n_rej++; }; - TaskSpecification task_spec; - task_spec.GetMutableMessage().set_type(TaskType::ACTOR_TASK); - queue.Add(2, 2, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(3, 2, fn_ok, fn_rej, nullptr, task_spec); - queue.Add(1, 2, fn_ok, fn_rej, nullptr, task_spec); + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 2); + std::vector accept_seq_nos; + std::vector reject_seq_nos; + std::atomic n_accept = 0; + auto fn_ok = [&accept_seq_nos, &n_accept](const TaskSpecification &task_spec, + rpc::SendReplyCallback callback) { + accept_seq_nos.push_back(task_spec.SequenceNumber()); + n_accept++; + }; + auto fn_rej = [&reject_seq_nos](const TaskSpecification &task_spec, + const Status &status, + rpc::SendReplyCallback callback) { + reject_seq_nos.push_back(task_spec.SequenceNumber()); + }; + + // Submitting 0 with dep, 1, 3 (retry of 2), and 4 (with client_processed_up_to = 2 bc 2 + // failed to send), 6 (retry of 5) with dep. + // 0 and 1 will be cancelled due to the client_processed_up_to = 2. + // 3 (retry of 2) should get executed. Then, 4 should be executed. Then 6 (retry of 5) + // once the dependency is fetched. + auto task_spec_0 = CreateActorTaskSpec(0, /*is_retry=*/false, /*dependency=*/true); + queue.Add(0, -1, fn_ok, fn_rej, nullptr, task_spec_0); + auto task_spec_1 = CreateActorTaskSpec(1); + queue.Add(1, -1, fn_ok, fn_rej, nullptr, task_spec_1); + auto task_spec_2_retry = CreateActorTaskSpec(3, /*is_retry=*/true); + queue.Add(3, -1, fn_ok, fn_rej, nullptr, task_spec_2_retry); + auto task_spec_4 = CreateActorTaskSpec(4); + queue.Add(4, 2, fn_ok, fn_rej, nullptr, task_spec_4); + auto task_spec_5_retry = CreateActorTaskSpec(6, /*is_retry=*/true, /*dependency=*/true); + queue.Add(6, -1, fn_ok, fn_rej, nullptr, task_spec_5_retry); + io_service.run(); - // Wait for all tasks to finish. + ASSERT_TRUE(WaitForCondition([&n_accept]() { return n_accept == 2; }, 1000)); + // seq_no 6 is index 1 for the mock waiter because only 2 tasks had deps. + waiter.Complete(1); + ASSERT_TRUE(WaitForCondition([&n_accept]() { return n_accept == 3; }, 1000)); + auto default_executor = pool_manager->GetDefaultExecutor(); default_executor->Join(); - ASSERT_EQ(n_ok, 1); - ASSERT_EQ(n_rej, 2); + ASSERT_EQ(accept_seq_nos, (std::vector{3, 4, 6})); + ASSERT_EQ(reject_seq_nos, (std::vector{0, 1})); queue.Stop(); } -TEST(SchedulingQueueTest, TestCancelQueuedTask) { +TEST(NormalSchedulingQueueTest, TestCancelQueuedTask) { std::unique_ptr queue = std::make_unique(); ASSERT_TRUE(queue->TaskQueueEmpty()); int n_ok = 0; diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.cc b/src/ray/core_worker/transport/actor_scheduling_queue.cc index 69ede825792e..f7938d46ee07 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.cc +++ b/src/ray/core_worker/transport/actor_scheduling_queue.cc @@ -60,7 +60,8 @@ void ActorSchedulingQueue::Add( reject_request, rpc::SendReplyCallback send_reply_callback, TaskSpecification task_spec) { - // A seq_no of -1 means no ordering constraint. Actor tasks must be executed in order. + // A seq_no of -1 means no ordering constraint. Non-retry Actor tasks must be executed + // in order. RAY_CHECK(seq_no != -1); RAY_CHECK(std::this_thread::get_id() == main_thread_id_); @@ -69,31 +70,55 @@ void ActorSchedulingQueue::Add( << client_processed_up_to; next_seq_no_ = client_processed_up_to + 1; } - RAY_LOG(DEBUG) << "Enqueue " << seq_no << " cur seqno " << next_seq_no_; + auto task_id = task_spec.TaskId(); + RAY_LOG(DEBUG).WithField(task_id) << "Enqueuing in order actor task, seq_no=" << seq_no + << ", next_seq_no_=" << next_seq_no_; - pending_actor_tasks_[seq_no] = InboundRequest(std::move(accept_request), - std::move(reject_request), - std::move(send_reply_callback), - task_spec); + const auto dependencies = task_spec.GetDependencies(); + InboundRequest inbound_request(std::move(accept_request), + std::move(reject_request), + std::move(send_reply_callback), + task_spec); + const bool is_retry = task_spec.IsRetry(); + InboundRequest *retry_request = nullptr; + if (is_retry) { + retry_request = &pending_retry_actor_tasks_.emplace_back(std::move(inbound_request)); + } else { + RAY_CHECK(pending_actor_tasks_.emplace(seq_no, std::move(inbound_request)).second); + } + + if (is_retry) { + seq_no_to_skip_.insert(seq_no); + } { absl::MutexLock lock(&mu_); - pending_task_id_to_is_canceled.emplace(task_spec.TaskId(), false); + pending_task_id_to_is_canceled.emplace(task_id, false); } - const auto dependencies = task_spec.GetDependencies(); - if (dependencies.size() > 0) { + if (!dependencies.empty()) { RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( - task_spec.TaskId(), + task_id, task_spec.JobId(), task_spec.AttemptNumber(), task_spec, rpc::TaskStatus::PENDING_ACTOR_TASK_ARGS_FETCH, /* include_task_info */ false)); - waiter_.Wait(dependencies, [seq_no, this]() { - RAY_CHECK(std::this_thread::get_id() == main_thread_id_); - auto it = pending_actor_tasks_.find(seq_no); - if (it != pending_actor_tasks_.end()) { - const TaskSpecification &task_spec = it->second.TaskSpec(); + waiter_.Wait(dependencies, [this, seq_no, is_retry, retry_request]() mutable { + InboundRequest *inbound_request = nullptr; + if (is_retry) { + // retry_request is guaranteed to be a valid pointer for retries because it + // won't be erased from the retry list until its dependencies are fetched and + // ExecuteRequest happens. + inbound_request = retry_request; + } else if (auto it = pending_actor_tasks_.find(seq_no); + it != pending_actor_tasks_.end()) { + // For non-retry tasks, we need to check if the task is still in the map because + // it can be erased due to being canceled via a higher `client_processed_up_to_`. + inbound_request = &it->second; + } + + if (inbound_request != nullptr) { + const auto &task_spec = inbound_request->TaskSpec(); RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( task_spec.TaskId(), task_spec.JobId(), @@ -101,13 +126,13 @@ void ActorSchedulingQueue::Add( task_spec, rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); - it->second.MarkDependenciesResolved(); + inbound_request->MarkDependenciesResolved(); ScheduleRequests(); } }); } else { RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( - task_spec.TaskId(), + task_id, task_spec.JobId(), task_spec.AttemptNumber(), task_spec, @@ -152,26 +177,38 @@ void ActorSchedulingQueue::ScheduleRequests() { pending_actor_tasks_.erase(head); } - // Process as many in-order requests as we can. - while (!pending_actor_tasks_.empty() && - pending_actor_tasks_.begin()->first == next_seq_no_ && - pending_actor_tasks_.begin()->second.DependenciesResolved()) { - auto head = pending_actor_tasks_.begin(); - auto request = head->second; - auto task_id = head->second.TaskID(); + // Process as many retry requests as we can. + // Retry requests do not respect sequence number ordering, so we execute them as soon as + // they are ready to execute. + auto retry_iter = pending_retry_actor_tasks_.begin(); + while (retry_iter != pending_retry_actor_tasks_.end()) { + auto &request = *retry_iter; + if (!request.DependenciesResolved()) { + retry_iter++; + continue; + } + ExecuteRequest(std::move(request)); + pending_retry_actor_tasks_.erase(retry_iter++); + } - // Process actor tasks. - auto pool = pool_manager_->GetExecutor(request.ConcurrencyGroupName(), - request.FunctionDescriptor()); - if (pool == nullptr) { - AcceptRequestOrRejectIfCanceled(task_id, request); + // Process as many in-order requests as we can. + while (!pending_actor_tasks_.empty()) { + auto begin_it = pending_actor_tasks_.begin(); + auto &[seq_no, request] = *begin_it; + if (seq_no == next_seq_no_) { + if (request.DependenciesResolved()) { + ExecuteRequest(std::move(request)); + pending_actor_tasks_.erase(begin_it); + next_seq_no_++; + } else { + // next_seq_no_ can't execute so break + break; + } + } else if (seq_no_to_skip_.erase(next_seq_no_) > 0) { + next_seq_no_++; } else { - pool->Post([this, request, task_id]() mutable { - AcceptRequestOrRejectIfCanceled(task_id, request); - }); + break; } - pending_actor_tasks_.erase(head); - next_seq_no_++; } if (pending_actor_tasks_.empty() || @@ -213,6 +250,19 @@ void ActorSchedulingQueue::ScheduleRequests() { } } +void ActorSchedulingQueue::ExecuteRequest(InboundRequest &&request) { + auto task_id = request.TaskID(); + auto pool = pool_manager_->GetExecutor(request.ConcurrencyGroupName(), + request.FunctionDescriptor()); + if (pool == nullptr) { + AcceptRequestOrRejectIfCanceled(task_id, request); + } else { + pool->Post([this, request = std::move(request), task_id]() mutable { + AcceptRequestOrRejectIfCanceled(task_id, request); + }); + } +} + void ActorSchedulingQueue::AcceptRequestOrRejectIfCanceled(TaskID task_id, InboundRequest &request) { bool is_canceled = false; diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.h b/src/ray/core_worker/transport/actor_scheduling_queue.h index acc578b17921..7694b0b6472b 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.h +++ b/src/ray/core_worker/transport/actor_scheduling_queue.h @@ -14,11 +14,12 @@ #pragma once -#include +#include #include #include #include "absl/base/thread_annotations.h" +#include "absl/container/btree_map.h" #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" @@ -79,10 +80,17 @@ class ActorSchedulingQueue : public SchedulingQueue { /// CancelTaskIfFound. void AcceptRequestOrRejectIfCanceled(TaskID task_id, InboundRequest &request); + void ExecuteRequest(InboundRequest &&request); + /// Max time in seconds to wait for dependencies to show up. const int64_t reorder_wait_seconds_; /// Sorted map of (accept, rej) task callbacks keyed by their sequence number. - std::map pending_actor_tasks_; + absl::btree_map pending_actor_tasks_; + /// List of task retry requests. This is a separate from the map because retries don't + /// need to be ordered. + std::list pending_retry_actor_tasks_; + /// Set of sequence numbers that can be skipped because they were retry seq no's. + absl::flat_hash_set seq_no_to_skip_; /// The next sequence number we are waiting for to arrive. int64_t next_seq_no_ = 0; /// Timer for waiting on dependencies. Note that this is set on the task main diff --git a/src/ray/core_worker/transport/actor_submit_queue.h b/src/ray/core_worker/transport/actor_submit_queue.h index 9f11494a1b41..0f3dbd6c4182 100644 --- a/src/ray/core_worker/transport/actor_submit_queue.h +++ b/src/ray/core_worker/transport/actor_submit_queue.h @@ -14,7 +14,6 @@ #pragma once -#include #include #include @@ -43,13 +42,12 @@ namespace core { class IActorSubmitQueue { public: virtual ~IActorSubmitQueue() = default; - /// Add a task into the queue. Returns false if a task with the same sequence_no has - /// already been inserted. - virtual bool Emplace(uint64_t sequence_no, const TaskSpecification &task_spec) = 0; + /// Add a task into the queue. + virtual void Emplace(uint64_t sequence_no, const TaskSpecification &task_spec) = 0; /// If a task exists. virtual bool Contains(uint64_t sequence_no) const = 0; - /// Get a task; the bool indicates if the task's dependency was resolved. - virtual const std::pair &Get(uint64_t sequence_no) const = 0; + /// If the task's dependencies were resolved. + virtual bool DependenciesResolved(uint64_t sequence_no) const = 0; /// Mark a task's dependency resolution failed thus remove from the queue. virtual void MarkDependencyFailed(uint64_t sequence_no) = 0; /// Mark a task's dependency is resolved thus ready to send. diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index 04d7b6553178..1edd07ebf879 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -189,7 +189,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { // backpressure. The receiving actor will execute the tasks according to // this sequence number. send_pos = task_spec.SequenceNumber(); - RAY_CHECK(queue->second.actor_submit_queue->Emplace(send_pos, task_spec)); + queue->second.actor_submit_queue->Emplace(send_pos, task_spec); queue->second.cur_pending_calls++; task_queued = true; } @@ -205,7 +205,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { resolver_.ResolveDependencies( task_spec, [this, send_pos, actor_id, task_id](Status status) { task_manager_.MarkDependenciesResolved(task_id); - auto fail_or_retry_task = TaskID::Nil(); + bool fail_or_retry_task = false; { absl::MutexLock lock(&mu_); auto queue = client_queues_.find(actor_id); @@ -218,14 +218,13 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { actor_submit_queue->MarkDependencyResolved(send_pos); SendPendingTasks(actor_id); } else { - fail_or_retry_task = - actor_submit_queue->Get(send_pos).first.TaskId(); + fail_or_retry_task = true; actor_submit_queue->MarkDependencyFailed(send_pos); } } } - if (!fail_or_retry_task.IsNil()) { + if (fail_or_retry_task) { GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); } @@ -563,7 +562,7 @@ void ActorTaskSubmitter::SendPendingTasks(const ActorID &actor_id) { break; } RAY_CHECK(!client_queue.worker_id.empty()); - PushActorTask(client_queue, task.value().first, task.value().second); + PushActorTask(client_queue, /*task_spec=*/task->first, /*skip_queue=*/task->second); } } @@ -896,7 +895,8 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv task_queued = queue->second.actor_submit_queue->Contains(send_pos); if (task_queued) { - auto dep_resolved = queue->second.actor_submit_queue->Get(send_pos).second; + auto dep_resolved = + queue->second.actor_submit_queue->DependenciesResolved(send_pos); if (!dep_resolved) { RAY_LOG(DEBUG).WithField(task_id) << "Task has been resolving dependencies. Cancel to resolve dependencies"; diff --git a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc b/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc index 07549e10962b..32a8712e1682 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc +++ b/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc @@ -14,7 +14,6 @@ #include "ray/core_worker/transport/out_of_order_actor_submit_queue.h" -#include #include #include @@ -24,29 +23,26 @@ namespace core { OutofOrderActorSubmitQueue::OutofOrderActorSubmitQueue(ActorID actor_id) : kActorId(actor_id) {} -bool OutofOrderActorSubmitQueue::Emplace(uint64_t position, +void OutofOrderActorSubmitQueue::Emplace(uint64_t position, const TaskSpecification &spec) { - if (Contains(position)) { - return false; - } - return pending_queue_ - .emplace(position, std::make_pair(spec, /*dependency_resolved*/ false)) - .second; + RAY_CHECK(!sending_queue_.contains(position)); + RAY_CHECK(pending_queue_ + .emplace(position, std::make_pair(spec, /*dependency_resolved*/ false)) + .second); } bool OutofOrderActorSubmitQueue::Contains(uint64_t position) const { return pending_queue_.contains(position) || sending_queue_.contains(position); } -const std::pair &OutofOrderActorSubmitQueue::Get( - uint64_t position) const { +bool OutofOrderActorSubmitQueue::DependenciesResolved(uint64_t position) const { auto it = pending_queue_.find(position); if (it != pending_queue_.end()) { - return it->second; + return it->second.second; } auto rit = sending_queue_.find(position); RAY_CHECK(rit != sending_queue_.end()); - return rit->second; + return rit->second.second; } void OutofOrderActorSubmitQueue::MarkDependencyFailed(uint64_t position) { diff --git a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h b/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h index 65a48565e7df..facbb456775a 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h +++ b/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h @@ -14,7 +14,6 @@ #pragma once -#include #include #include @@ -36,13 +35,12 @@ namespace core { class OutofOrderActorSubmitQueue : public IActorSubmitQueue { public: explicit OutofOrderActorSubmitQueue(ActorID actor_id); - /// Add a task into the queue. Returns false if a task with the same sequence_no has - /// already been inserted. - bool Emplace(uint64_t position, const TaskSpecification &spec) override; + /// Add a task into the queue. + void Emplace(uint64_t position, const TaskSpecification &spec) override; /// If a task exists. bool Contains(uint64_t position) const override; - /// Get a task; the bool indicates if the task's dependency was resolved. - const std::pair &Get(uint64_t position) const override; + /// If the task's dependencies were resolved. + bool DependenciesResolved(uint64_t position) const override; /// Mark a task's dependency resolution failed thus remove from the queue. void MarkDependencyFailed(uint64_t position) override; /// Make a task's dependency is resolved thus ready to send. diff --git a/src/ray/core_worker/transport/sequential_actor_submit_queue.cc b/src/ray/core_worker/transport/sequential_actor_submit_queue.cc index 53890173799f..e5c676e21258 100644 --- a/src/ray/core_worker/transport/sequential_actor_submit_queue.cc +++ b/src/ray/core_worker/transport/sequential_actor_submit_queue.cc @@ -14,7 +14,6 @@ #include "ray/core_worker/transport/sequential_actor_submit_queue.h" -#include #include #include @@ -23,63 +22,89 @@ namespace core { SequentialActorSubmitQueue::SequentialActorSubmitQueue(ActorID actor_id) : actor_id(actor_id) {} -bool SequentialActorSubmitQueue::Emplace(uint64_t sequence_no, +void SequentialActorSubmitQueue::Emplace(uint64_t sequence_no, const TaskSpecification &spec) { - return requests - .emplace(sequence_no, std::make_pair(spec, /*dependency_resolved*/ false)) - .second; + RAY_CHECK( + spec.IsRetry() + ? retry_requests + .emplace(sequence_no, std::make_pair(spec, /*dependency_resolved*/ false)) + .second + : requests + .emplace(sequence_no, std::make_pair(spec, /*dependency_resolved*/ false)) + .second); } bool SequentialActorSubmitQueue::Contains(uint64_t sequence_no) const { - return requests.find(sequence_no) != requests.end(); + return requests.contains(sequence_no) || retry_requests.contains(sequence_no); } -bool SequentialActorSubmitQueue::Empty() { return requests.empty(); } +bool SequentialActorSubmitQueue::Empty() { + return requests.empty() && retry_requests.empty(); +} -const std::pair &SequentialActorSubmitQueue::Get( - uint64_t sequence_no) const { - auto it = requests.find(sequence_no); - RAY_CHECK(it != requests.end()); - return it->second; +bool SequentialActorSubmitQueue::DependenciesResolved(uint64_t sequence_no) const { + auto requests_it = requests.find(sequence_no); + if (requests_it != requests.end()) { + return requests_it->second.second; + } + auto retry_iter = retry_requests.find(sequence_no); + RAY_CHECK(retry_iter != retry_requests.end()); + return retry_iter->second.second; } void SequentialActorSubmitQueue::MarkDependencyFailed(uint64_t sequence_no) { - requests.erase(sequence_no); + void(requests.erase(sequence_no) > 0 || retry_requests.erase(sequence_no) > 0); } void SequentialActorSubmitQueue::MarkTaskCanceled(uint64_t sequence_no) { - requests.erase(sequence_no); + void(requests.erase(sequence_no) > 0 || retry_requests.erase(sequence_no) > 0); } void SequentialActorSubmitQueue::MarkDependencyResolved(uint64_t sequence_no) { - auto it = requests.find(sequence_no); - RAY_CHECK(it != requests.end()); - it->second.second = true; + auto request_it = requests.find(sequence_no); + if (request_it != requests.end()) { + request_it->second.second = true; + return; + } + auto retry_pending_it = retry_requests.find(sequence_no); + if (retry_pending_it != retry_requests.end()) { + retry_pending_it->second.second = true; + return; + } } std::vector SequentialActorSubmitQueue::ClearAllTasks() { std::vector task_ids; - for (auto &[pos, spec] : requests) { + task_ids.reserve(requests.size() + retry_requests.size()); + for (auto &[_, spec] : requests) { + task_ids.push_back(spec.first.TaskId()); + } + for (auto &[_, spec] : retry_requests) { task_ids.push_back(spec.first.TaskId()); } requests.clear(); + retry_requests.clear(); return task_ids; } std::optional> SequentialActorSubmitQueue::PopNextTaskToSend() { - auto head = requests.begin(); - if (head != requests.end() && (/*seqno*/ head->first <= next_send_position) && - (/*dependencies_resolved*/ head->second.second)) { - // If the task has been sent before, skip the other tasks in the send - // queue. - bool skip_queue = head->first < next_send_position; - auto task_spec = std::move(head->second.first); - head = requests.erase(head); - next_send_position++; - return std::make_pair(std::move(task_spec), skip_queue); + auto retry_iter = retry_requests.begin(); + while (retry_iter != retry_requests.end()) { + if (/*dependencies not resolved*/ !retry_iter->second.second) { + retry_iter++; + continue; + } + auto task_spec = std::move(retry_iter->second.first); + retry_requests.erase(retry_iter); + return std::make_pair(std::move(task_spec), /*skip_queue*/ true); + } + if (!requests.empty() && (/*dependencies_resolved*/ requests.begin()->second.second)) { + auto task_spec = std::move(requests.begin()->second.first); + requests.erase(requests.begin()); + return std::make_pair(std::move(task_spec), /*skip_queue*/ false); } - return absl::nullopt; + return std::nullopt; } } // namespace core diff --git a/src/ray/core_worker/transport/sequential_actor_submit_queue.h b/src/ray/core_worker/transport/sequential_actor_submit_queue.h index 618a1ea5764c..5559bed185d5 100644 --- a/src/ray/core_worker/transport/sequential_actor_submit_queue.h +++ b/src/ray/core_worker/transport/sequential_actor_submit_queue.h @@ -14,10 +14,10 @@ #pragma once -#include #include #include +#include "absl/container/btree_map.h" #include "absl/types/optional.h" #include "ray/common/id.h" #include "ray/core_worker/transport/actor_submit_queue.h" @@ -32,13 +32,12 @@ namespace core { class SequentialActorSubmitQueue : public IActorSubmitQueue { public: explicit SequentialActorSubmitQueue(ActorID actor_id); - /// Add a task into the queue. Returns false if a task with the same sequence_no has - /// already been inserted. - bool Emplace(uint64_t sequence_no, const TaskSpecification &task_spec) override; + /// Add a task into the queue. + void Emplace(uint64_t sequence_no, const TaskSpecification &task_spec) override; /// If a task exists. bool Contains(uint64_t sequence_no) const override; - /// Get a task; the bool indicates if the task's dependency was resolved. - const std::pair &Get(uint64_t sequence_no) const override; + /// If the task's dependencies were resolved. + bool DependenciesResolved(uint64_t sequence_no) const override; /// Mark a task's dependency resolution failed thus remove from the queue. void MarkDependencyFailed(uint64_t sequence_no) override; /// Make a task's dependency is resolved thus ready to send. @@ -63,13 +62,15 @@ class SequentialActorSubmitQueue : public IActorSubmitQueue { /// The actor's pending requests, ordered by the sequence number in the request. /// The bool indicates whether the dependencies for that task have been resolved yet. - /// A task will be sent after its dependencies have been resolved and its sequence - /// number matches next_send_position. - std::map> requests; + /// A task will be sent after its dependencies are resolved. + absl::btree_map> requests; - /// All tasks with sequence numbers less than next_send_position have already been - /// sent to the actor. - uint64_t next_send_position = 0; + /// Map of task retries. The bool indicates whether the dependencies for that task have + /// been resolved yet. A task will be sent after its dependencies are resolved. This is + /// a separate unordered map becuase the order in which retries are executed is + /// purposefully not guaranteed. + absl::flat_hash_map> retry_requests; }; + } // namespace core } // namespace ray From c0509badb82904ac111472f197b5cb3e9c8f6db2 Mon Sep 17 00:00:00 2001 From: Rueian Date: Thu, 10 Jul 2025 15:08:52 -0700 Subject: [PATCH 0149/1566] [core][autoscaler] fix: enable cloud_instance_id reusing in autoscaler v2 (#54397) ## Why are these changes needed? When a Head node restarted with GCS FT enabled, the `ClusterResourceState` response contains old `DEAD` entries for the Head node. For example: ``` node_states { node_id: "\322\326p*\261\305\331\016\005^\364\235\266\314\023x\307Md^\262\212|\247<@\013\301" instance_id: "raycluster-external-redis-head" ray_node_type_name: "headgroup" node_state_version: 4 status: IDLE node_ip_address: "10.244.0.29" } node_states { node_id: "\210\236\255\245k\350\341\3746\312|\362j\033\221\364T\277\331V\025!\223J\232\320\334N" instance_id: "raycluster-external-redis-head" ray_node_type_name: "headgroup" node_state_version: 4 status: DEAD node_ip_address: "10.244.0.28" } ``` Autoscaler v2 previously did not allow reusing `instance_id(cloud_instance_id)`. This PR makes it possible. ## Related issue number fixes https://github.com/ray-project/ray/issues/54353 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- .../v2/instance_manager/instance_manager.py | 1 + .../v2/instance_manager/node_provider.py | 3 + .../v2/instance_manager/reconciler.py | 72 +++++-- .../autoscaler/v2/tests/test_reconciler.py | 200 +++++++++++++++++- 4 files changed, 252 insertions(+), 24 deletions(-) diff --git a/python/ray/autoscaler/v2/instance_manager/instance_manager.py b/python/ray/autoscaler/v2/instance_manager/instance_manager.py index 6a1f6e207408..bff1fb9b6d2d 100644 --- a/python/ray/autoscaler/v2/instance_manager/instance_manager.py +++ b/python/ray/autoscaler/v2/instance_manager/instance_manager.py @@ -198,6 +198,7 @@ def _apply_update(instance: Instance, update: InstanceUpdateEvent): instance.cloud_instance_id = update.cloud_instance_id instance.node_kind = update.node_kind instance.instance_type = update.instance_type + instance.node_id = update.ray_node_id elif update.new_instance_status == Instance.RAY_RUNNING: assert update.ray_node_id, "RAY_RUNNING update must have ray_node_id" instance.node_id = update.ray_node_id diff --git a/python/ray/autoscaler/v2/instance_manager/node_provider.py b/python/ray/autoscaler/v2/instance_manager/node_provider.py index 94d11db1250b..263af5dc3521 100644 --- a/python/ray/autoscaler/v2/instance_manager/node_provider.py +++ b/python/ray/autoscaler/v2/instance_manager/node_provider.py @@ -487,6 +487,9 @@ def _launch_nodes_by_type( ) logger.info("Launched {} nodes of type {}.".format(count, node_type)) except Exception as e: + logger.info( + "Failed to launch {} nodes of type {}: {}".format(count, node_type, e) + ) error = LaunchNodeError(node_type, count, request_id, int(time.time_ns())) error.__cause__ = e self._errors_queue.put(error) diff --git a/python/ray/autoscaler/v2/instance_manager/reconciler.py b/python/ray/autoscaler/v2/instance_manager/reconciler.py index 8adefd946498..dd13a8945ea7 100644 --- a/python/ray/autoscaler/v2/instance_manager/reconciler.py +++ b/python/ray/autoscaler/v2/instance_manager/reconciler.py @@ -108,6 +108,7 @@ def reconcile( autoscaling_state.last_seen_cluster_resource_state_version = ( ray_cluster_resource_state.cluster_resource_state_version ) + Reconciler._sync_from( instance_manager=instance_manager, ray_nodes=ray_cluster_resource_state.node_states, @@ -322,7 +323,11 @@ def _handle_cloud_instance_allocation( instances_with_launch_requests.append(instance) assigned_cloud_instance_ids: Set[CloudInstanceId] = { - instance.cloud_instance_id for instance in im_instances + instance.cloud_instance_id + for instance in im_instances + if instance.cloud_instance_id + and instance.status + not in [IMInstance.TERMINATED, IMInstance.ALLOCATION_FAILED] } launch_errors: Dict[str, LaunchNodeError] = { error.request_id: error @@ -654,48 +659,60 @@ def _handle_ray_status_transition( updates = {} im_instances_by_cloud_instance_id = { - i.cloud_instance_id: i for i in instances if i.cloud_instance_id + instance.cloud_instance_id: instance + for instance in instances + if instance.cloud_instance_id + and instance.status + not in [IMInstance.TERMINATED, IMInstance.ALLOCATION_FAILED] + } + im_instances_by_ray_node_id = { + instance.node_id: instance for instance in instances if instance.node_id } - ray_nodes_by_cloud_instance_id = {} - for n in ray_nodes: - if n.instance_id: - ray_nodes_by_cloud_instance_id[n.instance_id] = n + + for ray_node in ray_nodes: + im_instance = None + ray_node_id = binary_to_hex(ray_node.node_id) + if ray_node_id in im_instances_by_ray_node_id: + im_instance = im_instances_by_ray_node_id[ray_node_id] else: if autoscaling_config.provider == Provider.READ_ONLY: # We will use the node id as the cloud instance id for read-only # provider. - ray_nodes_by_cloud_instance_id[binary_to_hex(n.node_id)] = n + im_instance = im_instances_by_cloud_instance_id[ray_node_id] + elif ray_node.instance_id: + im_instance = im_instances_by_cloud_instance_id[ + ray_node.instance_id + ] else: # This should only happen to a ray node that's not managed by us. logger.warning( - f"Ray node {binary_to_hex(n.node_id)} has no instance id. " + f"Ray node {ray_node_id} has no instance id. " "This only happens to a ray node not managed by autoscaler. " "If not, please file a bug at " "https://github.com/ray-project/ray" ) + continue - for cloud_instance_id, ray_node in ray_nodes_by_cloud_instance_id.items(): - assert cloud_instance_id in im_instances_by_cloud_instance_id, ( - f"Ray node {binary_to_hex(ray_node.node_id)} has no matching " - f"instance with cloud instance id={cloud_instance_id}. We should " + assert im_instance is not None, ( + f"Ray node {ray_node_id} has no matching " + f"instance with cloud instance id={ray_node.instance_id}. We should " "not see a ray node with cloud instance id not found in IM since " "we have reconciled all cloud instances, and ray nodes by now." ) - im_instance = im_instances_by_cloud_instance_id[cloud_instance_id] reconciled_im_status = Reconciler._reconciled_im_status_from_ray_status( ray_node.status, im_instance.status ) if reconciled_im_status != im_instance.status: - updates[im_instance.instance_id] = IMInstanceUpdateEvent( + updates[ray_node_id] = IMInstanceUpdateEvent( instance_id=im_instance.instance_id, new_instance_status=reconciled_im_status, details=( - f"ray node {binary_to_hex(ray_node.node_id)} is " + f"ray node {ray_node_id} is " f"{NodeStatus.Name(ray_node.status)}" ), - ray_node_id=binary_to_hex(ray_node.node_id), + ray_node_id=ray_node_id, ) Reconciler._update_instance_manager(instance_manager, version, updates) @@ -1462,12 +1479,12 @@ def _handle_extra_cloud_instances( the cloud provider. ray_nodes: The ray cluster's states of ray nodes. """ - Reconciler._handle_extra_cloud_instances_from_cloud_provider( - instance_manager, non_terminated_cloud_instances - ) Reconciler._handle_extra_cloud_instances_from_ray_nodes( instance_manager, ray_nodes ) + Reconciler._handle_extra_cloud_instances_from_cloud_provider( + instance_manager, non_terminated_cloud_instances + ) @staticmethod def _handle_extra_cloud_instances_from_cloud_provider( @@ -1491,6 +1508,8 @@ def _handle_extra_cloud_instances_from_cloud_provider( instance.cloud_instance_id for instance in instances if instance.cloud_instance_id + and instance.status + not in [IMInstance.TERMINATED, IMInstance.ALLOCATION_FAILED] } # Find the extra cloud instances that are not managed by the instance manager. @@ -1531,26 +1550,37 @@ def _handle_extra_cloud_instances_from_ray_nodes( instance.cloud_instance_id for instance in instances if instance.cloud_instance_id + and not instance.node_id + and instance.status + not in [IMInstance.TERMINATED, IMInstance.ALLOCATION_FAILED] + } + ray_node_ids_managed_by_im = { + instance.node_id for instance in instances if instance.node_id } for ray_node in ray_nodes: if not ray_node.instance_id: continue + ray_node_id = binary_to_hex(ray_node.node_id) + if ray_node_id in ray_node_ids_managed_by_im: + continue + cloud_instance_id = ray_node.instance_id if cloud_instance_id in cloud_instance_ids_managed_by_im: continue is_head = is_head_node(ray_node) - updates[cloud_instance_id] = IMInstanceUpdateEvent( + updates[ray_node_id] = IMInstanceUpdateEvent( instance_id=InstanceUtil.random_instance_id(), # Assign a new id. cloud_instance_id=cloud_instance_id, new_instance_status=IMInstance.ALLOCATED, node_kind=NodeKind.HEAD if is_head else NodeKind.WORKER, + ray_node_id=ray_node_id, instance_type=ray_node.ray_node_type_name, details=( "allocated unmanaged worker cloud instance from ray node: " - f"{binary_to_hex(ray_node.node_id)}" + f"{ray_node_id}" ), upsert=True, ) diff --git a/python/ray/autoscaler/v2/tests/test_reconciler.py b/python/ray/autoscaler/v2/tests/test_reconciler.py index 40b8095b3534..c4269d782a05 100644 --- a/python/ray/autoscaler/v2/tests/test_reconciler.py +++ b/python/ray/autoscaler/v2/tests/test_reconciler.py @@ -391,6 +391,9 @@ def test_ray_reconciler_new_ray(setup): NodeState(node_id=b"r-1", status=NodeStatus.RUNNING, instance_id="c-1"), ] im_instances = [ + create_instance( + "i-0", status=Instance.TERMINATED, cloud_instance_id="c-1" + ), # this should not be matched. create_instance("i-1", status=Instance.ALLOCATED, cloud_instance_id="c-1"), ] cloud_instances = { @@ -409,7 +412,8 @@ def test_ray_reconciler_new_ray(setup): ) instances, _ = instance_storage.get_instances() - assert len(instances) == 1 + assert len(instances) == 2 + assert instances["i-0"].status == Instance.TERMINATED assert instances["i-1"].status == Instance.RAY_RUNNING assert instances["i-1"].node_id == binary_to_hex(b"r-1") @@ -596,10 +600,16 @@ def test_draining_ray_node_also_terminated(setup): im_instances = [ create_instance( - "i-1", status=Instance.RAY_RUNNING, cloud_instance_id="c-1" + "i-1", + status=Instance.RAY_RUNNING, + cloud_instance_id="c-1", + ray_node_id=binary_to_hex(b"r-1"), ), # To be reconciled. create_instance( - "i-2", status=Instance.RAY_RUNNING, cloud_instance_id="c-2" + "i-2", + status=Instance.RAY_RUNNING, + cloud_instance_id="c-2", + ray_node_id=binary_to_hex(b"r-2"), ), # To be reconciled. ] TestReconciler._add_instances(instance_storage, im_instances) @@ -1476,6 +1486,190 @@ def test_extra_cloud_instances_cloud_provider(setup): statuses = {instance.status for instance in instances.values()} assert statuses == {Instance.RAY_RUNNING, Instance.ALLOCATED} + @staticmethod + def test_cloud_instance_reboot(setup): + """ + Test that the case of booting up a previous stopped cloud instance. + """ + instance_manager, instance_storage, subscriber = setup + + im_instances = [ + create_instance( + "i-1", + status=Instance.TERMINATED, + cloud_instance_id="c-1", + ray_node_id=binary_to_hex(b"r-1"), + ), + ] + TestReconciler._add_instances(instance_storage, im_instances) + + ray_nodes = [ + NodeState( + node_id=b"r-1", + status=NodeStatus.DEAD, + instance_id="c-1", + ray_node_type_name="type-1", + ), + ] + + cloud_instances = { + "c-1": CloudInstance("c-1", "type-1", True, NodeKind.WORKER), + } + + subscriber.clear() + Reconciler.reconcile( + instance_manager, + scheduler=MockScheduler(), + cloud_provider=MagicMock(), + ray_cluster_resource_state=ClusterResourceState(node_states=ray_nodes), + non_terminated_cloud_instances=cloud_instances, + cloud_provider_errors=[], + ray_install_errors=[], + autoscaling_config=MockAutoscalingConfig(), + ) + events = subscriber.events + for e in events: + assert e.new_instance_status == Instance.ALLOCATED + assert e.cloud_instance_id == "c-1" + + instances, _ = instance_storage.get_instances() + assert len(instances) == 2 + statuses = {instance.status for instance in instances.values()} + assert statuses == {Instance.ALLOCATED, Instance.TERMINATED} + + @staticmethod + def test_ray_node_restarted_on_the_same_cloud_instance(setup): + """ + Test that the case of reusing cloud instances. + """ + instance_manager, instance_storage, subscriber = setup + + im_instances = [ + create_instance( + "i-1", + status=Instance.RAY_RUNNING, + cloud_instance_id="c-1", + ray_node_id=binary_to_hex(b"r-1"), + ), + ] + TestReconciler._add_instances(instance_storage, im_instances) + + ray_nodes = [ + NodeState( + node_id=b"r-2", + status=NodeStatus.IDLE, + instance_id="c-1", + ray_node_type_name="type-1", + ), + NodeState( + node_id=b"r-1", + status=NodeStatus.DEAD, + instance_id="c-1", + ray_node_type_name="type-1", + ), + ] + + cloud_instances = { + "c-1": CloudInstance("c-1", "type-1", True, NodeKind.WORKER), + } + + subscriber.clear() + Reconciler.reconcile( + instance_manager, + scheduler=MockScheduler(), + cloud_provider=MagicMock(), + ray_cluster_resource_state=ClusterResourceState(node_states=ray_nodes), + non_terminated_cloud_instances=cloud_instances, + cloud_provider_errors=[], + ray_install_errors=[], + autoscaling_config=MockAutoscalingConfig(), + ) + events = subscriber.events + assert len(events) == 4 + assert events[0].new_instance_status == Instance.ALLOCATED + assert events[0].cloud_instance_id == "c-1" + assert events[0].ray_node_id == binary_to_hex(b"r-2") + + assert events[1].new_instance_status == Instance.RAY_RUNNING + assert events[1].instance_id == events[0].instance_id + assert events[1].ray_node_id == binary_to_hex(b"r-2") + + assert events[2].new_instance_status == Instance.RAY_STOPPED + assert events[2].instance_id == "i-1" + assert events[2].ray_node_id == binary_to_hex(b"r-1") + assert events[3].new_instance_status == Instance.TERMINATING + assert events[3].instance_id == "i-1" + + instances, _ = instance_storage.get_instances() + assert len(instances) == 2 + statuses = {instance.status for instance in instances.values()} + assert statuses == {Instance.RAY_RUNNING, Instance.TERMINATING} + + @staticmethod + def test_ray_head_restarted_on_the_same_cloud_instance(setup): + """ + Test that the case of restarting Head node with GCS FT. + """ + instance_manager, instance_storage, subscriber = setup + + ray_nodes = [ + NodeState( + node_id=b"r-2", + status=NodeStatus.IDLE, + instance_id="c-1", + ray_node_type_name="type-1", + ), + NodeState( + node_id=b"r-1", + status=NodeStatus.DEAD, + instance_id="c-1", + ray_node_type_name="type-1", + ), + ] + + cloud_instances = { + "c-1": CloudInstance("c-1", "type-1", True, NodeKind.HEAD), + } + + subscriber.clear() + Reconciler.reconcile( + instance_manager, + scheduler=MockScheduler(), + cloud_provider=MagicMock(), + ray_cluster_resource_state=ClusterResourceState(node_states=ray_nodes), + non_terminated_cloud_instances=cloud_instances, + cloud_provider_errors=[], + ray_install_errors=[], + autoscaling_config=MockAutoscalingConfig(), + ) + events = subscriber.events + assert len(events) == 5 + assert events[0].new_instance_status == Instance.ALLOCATED + assert events[0].cloud_instance_id == "c-1" + assert events[0].ray_node_id == binary_to_hex(b"r-2") + + assert events[1].new_instance_status == Instance.ALLOCATED + assert events[1].cloud_instance_id == "c-1" + assert events[1].ray_node_id == binary_to_hex(b"r-1") + + assert events[1].instance_id != events[0].instance_id + + assert events[2].new_instance_status == Instance.RAY_RUNNING + assert events[2].instance_id == events[0].instance_id + assert events[2].ray_node_id == binary_to_hex(b"r-2") + + assert events[3].new_instance_status == Instance.RAY_STOPPED + assert events[3].instance_id == events[1].instance_id + assert events[3].ray_node_id == binary_to_hex(b"r-1") + + assert events[4].new_instance_status == Instance.TERMINATING + assert events[4].instance_id == events[1].instance_id + + instances, _ = instance_storage.get_instances() + assert len(instances) == 2 + statuses = {instance.status for instance in instances.values()} + assert statuses == {Instance.RAY_RUNNING, Instance.TERMINATING} + @staticmethod def test_reconcile_max_worker_nodes_limit_triggers_termination(setup): instance_manager, instance_storage, _ = setup From b006036473de790a2d94983b33816c8dcf56c5aa Mon Sep 17 00:00:00 2001 From: Philipp Moritz Date: Thu, 10 Jul 2025 16:31:46 -0700 Subject: [PATCH 0150/1566] [uv] Fix uv run parser for handling extra arguments (#54488) ## Why are these changes needed? It turns out argparse has a long standing bug with "argparse.REMAINDER" that actually caused people to give up on that flag (see https://bugs.python.org/issue14174). The maintainers recommend using optparse to be used in such situations, see https://discuss.python.org/t/getopt-and-optparse-vs-argparse/69618/23. I changed the parser from argparse to optparse and added some more tests around the failing case, which was the following command line: ``` uv run --isolated --extra vllm -m skyrl_train.inference_engines.vllm.vllm_server \ --model Qwen/Qwen3-32B \ --tensor-parallel-size 4 \ --host 127.0.0.1 \ --port 8001 \ --seed 42 \ --max-model-len 4096 \ --enable-prefix-caching \ --enable-chunked-prefill \ --dtype bfloat16 \ --gpu-memory-utilization 0.9 \ --enable-sleep-mode \ --max-num_batched_tokens 8192 \ --max-num-seqs 1024 \ --trust-remote-code \ --distributed-executor-backend ray \ --worker-extension-cls skyrl_train.inference_engines.vllm.vllm_engine.WorkerWrap ``` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- .../runtime_env/uv_runtime_env_hook.py | 243 +++++++++++------- python/ray/tests/test_runtime_env_uv_run.py | 68 +++++ 2 files changed, 212 insertions(+), 99 deletions(-) diff --git a/python/ray/_private/runtime_env/uv_runtime_env_hook.py b/python/ray/_private/runtime_env/uv_runtime_env_hook.py index f875929125eb..7a72107872f0 100644 --- a/python/ray/_private/runtime_env/uv_runtime_env_hook.py +++ b/python/ray/_private/runtime_env/uv_runtime_env_hook.py @@ -1,9 +1,10 @@ import argparse import copy +import optparse import os import sys from pathlib import Path -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, Tuple import psutil @@ -11,83 +12,94 @@ def _create_uv_run_parser(): """Create and return the argument parser for 'uv run' command.""" - parser = argparse.ArgumentParser(prog="uv run", add_help=False) + parser = optparse.OptionParser(prog="uv run", add_help_option=False) - # Positional argument - using remainder to capture everything after the command - parser.add_argument("command", nargs=argparse.REMAINDER) + # Disable interspersed args to stop parsing when we hit the first + # argument that is not recognized by the parser. + parser.disable_interspersed_args() # Main options group - main_group = parser.add_argument_group("Main options") - main_group.add_argument("--extra", action="append", dest="extras") - main_group.add_argument("--all-extras", action="store_true") - main_group.add_argument("--no-extra", action="append", dest="no_extras") - main_group.add_argument("--no-dev", action="store_true") - main_group.add_argument("--group", action="append", dest="groups") - main_group.add_argument("--no-group", action="append", dest="no_groups") - main_group.add_argument("--no-default-groups", action="store_true") - main_group.add_argument("--only-group", action="append", dest="only_groups") - main_group.add_argument("--all-groups", action="store_true") - main_group.add_argument("-m", "--module") - main_group.add_argument("--only-dev", action="store_true") - main_group.add_argument("--no-editable", action="store_true") - main_group.add_argument("--exact", action="store_true") - main_group.add_argument("--env-file", action="append", dest="env_files") - main_group.add_argument("--no-env-file", action="store_true") + main_group = optparse.OptionGroup(parser, "Main options") + main_group.add_option("--extra", action="append", dest="extras") + main_group.add_option("--all-extras", action="store_true") + main_group.add_option("--no-extra", action="append", dest="no_extras") + main_group.add_option("--no-dev", action="store_true") + main_group.add_option("--group", action="append", dest="groups") + main_group.add_option("--no-group", action="append", dest="no_groups") + main_group.add_option("--no-default-groups", action="store_true") + main_group.add_option("--only-group", action="append", dest="only_groups") + main_group.add_option("--all-groups", action="store_true") + main_group.add_option("-m", "--module") + main_group.add_option("--only-dev", action="store_true") + main_group.add_option("--no-editable", action="store_true") + main_group.add_option("--exact", action="store_true") + main_group.add_option("--env-file", action="append", dest="env_files") + main_group.add_option("--no-env-file", action="store_true") + parser.add_option_group(main_group) # With options - with_group = parser.add_argument_group("With options") - with_group.add_argument("--with", action="append", dest="with_packages") - with_group.add_argument("--with-editable", action="append", dest="with_editable") - with_group.add_argument( + with_group = optparse.OptionGroup(parser, "With options") + with_group.add_option("--with", action="append", dest="with_packages") + with_group.add_option("--with-editable", action="append", dest="with_editable") + with_group.add_option( "--with-requirements", action="append", dest="with_requirements" ) + parser.add_option_group(with_group) # Environment options - env_group = parser.add_argument_group("Environment options") - env_group.add_argument("--isolated", action="store_true") - env_group.add_argument("--active", action="store_true") - env_group.add_argument("--no-sync", action="store_true") - env_group.add_argument("--locked", action="store_true") - env_group.add_argument("--frozen", action="store_true") + env_group = optparse.OptionGroup(parser, "Environment options") + env_group.add_option("--isolated", action="store_true") + env_group.add_option("--active", action="store_true") + env_group.add_option("--no-sync", action="store_true") + env_group.add_option("--locked", action="store_true") + env_group.add_option("--frozen", action="store_true") + parser.add_option_group(env_group) # Script options - script_group = parser.add_argument_group("Script options") - script_group.add_argument("-s", "--script", action="store_true") - script_group.add_argument("--gui-script", action="store_true") + script_group = optparse.OptionGroup(parser, "Script options") + script_group.add_option("-s", "--script", action="store_true") + script_group.add_option("--gui-script", action="store_true") + parser.add_option_group(script_group) # Workspace options - workspace_group = parser.add_argument_group("Workspace options") - workspace_group.add_argument("--all-packages", action="store_true") - workspace_group.add_argument("--package") - workspace_group.add_argument("--no-project", action="store_true") + workspace_group = optparse.OptionGroup(parser, "Workspace options") + workspace_group.add_option("--all-packages", action="store_true") + workspace_group.add_option("--package") + workspace_group.add_option("--no-project", action="store_true") + parser.add_option_group(workspace_group) # Index options - index_group = parser.add_argument_group("Index options") - index_group.add_argument("--index", action="append", dest="indexes") - index_group.add_argument("--default-index") - index_group.add_argument("-i", "--index-url") - index_group.add_argument( + index_group = optparse.OptionGroup(parser, "Index options") + index_group.add_option("--index", action="append", dest="indexes") + index_group.add_option("--default-index") + index_group.add_option("-i", "--index-url") + index_group.add_option( "--extra-index-url", action="append", dest="extra_index_urls" ) - index_group.add_argument("-f", "--find-links", action="append", dest="find_links") - index_group.add_argument("--no-index", action="store_true") - index_group.add_argument( + index_group.add_option("-f", "--find-links", action="append", dest="find_links") + index_group.add_option("--no-index", action="store_true") + index_group.add_option( "--index-strategy", + type="choice", choices=["first-index", "unsafe-first-match", "unsafe-best-match"], ) - index_group.add_argument("--keyring-provider", choices=["disabled", "subprocess"]) + index_group.add_option( + "--keyring-provider", type="choice", choices=["disabled", "subprocess"] + ) + parser.add_option_group(index_group) # Resolver options - resolver_group = parser.add_argument_group("Resolver options") - resolver_group.add_argument("-U", "--upgrade", action="store_true") - resolver_group.add_argument( + resolver_group = optparse.OptionGroup(parser, "Resolver options") + resolver_group.add_option("-U", "--upgrade", action="store_true") + resolver_group.add_option( "-P", "--upgrade-package", action="append", dest="upgrade_packages" ) - resolver_group.add_argument( - "--resolution", choices=["highest", "lowest", "lowest-direct"] + resolver_group.add_option( + "--resolution", type="choice", choices=["highest", "lowest", "lowest-direct"] ) - resolver_group.add_argument( + resolver_group.add_option( "--prerelease", + type="choice", choices=[ "disallow", "allow", @@ -96,86 +108,117 @@ def _create_uv_run_parser(): "if-necessary-or-explicit", ], ) - resolver_group.add_argument( - "--fork-strategy", choices=["fewest", "requires-python"] + resolver_group.add_option( + "--fork-strategy", type="choice", choices=["fewest", "requires-python"] ) - resolver_group.add_argument("--exclude-newer") - resolver_group.add_argument("--no-sources", action="store_true") + resolver_group.add_option("--exclude-newer") + resolver_group.add_option("--no-sources", action="store_true") + parser.add_option_group(resolver_group) # Installer options - installer_group = parser.add_argument_group("Installer options") - installer_group.add_argument("--reinstall", action="store_true") - installer_group.add_argument( + installer_group = optparse.OptionGroup(parser, "Installer options") + installer_group.add_option("--reinstall", action="store_true") + installer_group.add_option( "--reinstall-package", action="append", dest="reinstall_packages" ) - installer_group.add_argument( - "--link-mode", choices=["clone", "copy", "hardlink", "symlink"] + installer_group.add_option( + "--link-mode", type="choice", choices=["clone", "copy", "hardlink", "symlink"] ) - installer_group.add_argument("--compile-bytecode", action="store_true") + installer_group.add_option("--compile-bytecode", action="store_true") + parser.add_option_group(installer_group) # Build options - build_group = parser.add_argument_group("Build options") - build_group.add_argument( + build_group = optparse.OptionGroup(parser, "Build options") + build_group.add_option( "-C", "--config-setting", action="append", dest="config_settings" ) - build_group.add_argument("--no-build-isolation", action="store_true") - build_group.add_argument( + build_group.add_option("--no-build-isolation", action="store_true") + build_group.add_option( "--no-build-isolation-package", action="append", dest="no_build_isolation_packages", ) - build_group.add_argument("--no-build", action="store_true") - build_group.add_argument( + build_group.add_option("--no-build", action="store_true") + build_group.add_option( "--no-build-package", action="append", dest="no_build_packages" ) - build_group.add_argument("--no-binary", action="store_true") - build_group.add_argument( + build_group.add_option("--no-binary", action="store_true") + build_group.add_option( "--no-binary-package", action="append", dest="no_binary_packages" ) + parser.add_option_group(build_group) # Cache options - cache_group = parser.add_argument_group("Cache options") - cache_group.add_argument("-n", "--no-cache", action="store_true") - cache_group.add_argument("--cache-dir") - cache_group.add_argument("--refresh", action="store_true") - cache_group.add_argument( + cache_group = optparse.OptionGroup(parser, "Cache options") + cache_group.add_option("-n", "--no-cache", action="store_true") + cache_group.add_option("--cache-dir") + cache_group.add_option("--refresh", action="store_true") + cache_group.add_option( "--refresh-package", action="append", dest="refresh_packages" ) + parser.add_option_group(cache_group) # Python options - python_group = parser.add_argument_group("Python options") - python_group.add_argument("-p", "--python") - python_group.add_argument("--managed-python", action="store_true") - python_group.add_argument("--no-managed-python", action="store_true") - python_group.add_argument("--no-python-downloads", action="store_true") + python_group = optparse.OptionGroup(parser, "Python options") + python_group.add_option("-p", "--python") + python_group.add_option("--managed-python", action="store_true") + python_group.add_option("--no-managed-python", action="store_true") + python_group.add_option("--no-python-downloads", action="store_true") # note: the following is a legacy option and will be removed at some point # https://github.com/astral-sh/uv/pull/12246 - python_group.add_argument( + python_group.add_option( "--python-preference", + type="choice", choices=["only-managed", "managed", "system", "only-system"], ) + parser.add_option_group(python_group) # Global options - global_group = parser.add_argument_group("Global options") - global_group.add_argument("-q", "--quiet", action="count", default=0) - global_group.add_argument("-v", "--verbose", action="count", default=0) - global_group.add_argument("--color", choices=["auto", "always", "never"]) - global_group.add_argument("--native-tls", action="store_true") - global_group.add_argument("--offline", action="store_true") - global_group.add_argument( + global_group = optparse.OptionGroup(parser, "Global options") + global_group.add_option("-q", "--quiet", action="count", default=0) + global_group.add_option("-v", "--verbose", action="count", default=0) + global_group.add_option( + "--color", type="choice", choices=["auto", "always", "never"] + ) + global_group.add_option("--native-tls", action="store_true") + global_group.add_option("--offline", action="store_true") + global_group.add_option( "--allow-insecure-host", action="append", dest="insecure_hosts" ) - global_group.add_argument("--no-progress", action="store_true") - global_group.add_argument("--directory") - global_group.add_argument("--project") - global_group.add_argument("--config-file") - global_group.add_argument("--no-config", action="store_true") + global_group.add_option("--no-progress", action="store_true") + global_group.add_option("--directory") + global_group.add_option("--project") + global_group.add_option("--config-file") + global_group.add_option("--no-config", action="store_true") + parser.add_option_group(global_group) return parser +def _parse_args( + parser: optparse.OptionParser, args: List[str] +) -> Tuple[optparse.Values, List[str]]: + """ + Parse the command-line options found in 'args'. + + Replacement for parser.parse_args that handles unknown arguments + by keeping them in the command list instead of erroring and + discarding them. + """ + parser.rargs = args + parser.largs = [] + options = parser.get_default_values() + try: + parser._process_args(parser.largs, parser.rargs, options) + except optparse.BadOptionError as err: + # If we hit an argument that is not recognized, we put it + # back into the unconsumed arguments + parser.rargs = [err.opt_str] + parser.rargs + return options, parser.rargs + + def _check_working_dir_files( - uv_run_args: argparse.Namespace, runtime_env: Dict[str, Any] + uv_run_args: optparse.Values, runtime_env: Dict[str, Any] ) -> None: """ Check that the files required by uv are local to the working_dir. This catches @@ -274,12 +317,13 @@ def hook(runtime_env: Optional[Dict[str, Any]]) -> Dict[str, Any]: # Extract the arguments uv_run_args of 'uv run' that are not part of the command. parser = _create_uv_run_parser() - cmdline_args = parser.parse_args(cmdline[2:]) - if cmdline[-len(cmdline_args.command) :] != cmdline_args.command: + (options, command) = _parse_args(parser, cmdline[2:]) + + if cmdline[-len(command) :] != command: raise AssertionError( - f"uv run command {cmdline_args.command} is not a suffix of command line {cmdline}" + f"uv run command {command} is not a suffix of command line {cmdline}" ) - uv_run_args = cmdline[: -len(cmdline_args.command)] + uv_run_args = cmdline[: -len(command)] # Remove the "--directory" argument since it has already been taken into # account when setting the current working directory of the current process. @@ -296,7 +340,7 @@ def hook(runtime_env: Optional[Dict[str, Any]]) -> Dict[str, Any]: # use the same working_dir that uv run would use if "working_dir" not in runtime_env: runtime_env["working_dir"] = os.getcwd() - _check_working_dir_files(cmdline_args, runtime_env) + _check_working_dir_files(options, runtime_env) return runtime_env @@ -307,6 +351,7 @@ def hook(runtime_env: Optional[Dict[str, Any]]) -> Dict[str, Any]: import json test_parser = argparse.ArgumentParser() + test_parser.add_argument("--extra-args", action="store_true") test_parser.add_argument("runtime_env") args = test_parser.parse_args() diff --git a/python/ray/tests/test_runtime_env_uv_run.py b/python/ray/tests/test_runtime_env_uv_run.py index c6a642c35aea..138ff87e81bf 100644 --- a/python/ray/tests/test_runtime_env_uv_run.py +++ b/python/ray/tests/test_runtime_env_uv_run.py @@ -315,6 +315,74 @@ def check_uv_run( }, ) + # Check in the case that a module is use for "uv run" and there is + # an argument immediately behind it + check_uv_run( + cmd=[ + uv, + "run", + "--no-project", + "-m", + "ray._private.runtime_env.uv_runtime_env_hook", + "--extra-args", + ], + runtime_env={}, + expected_output={ + "py_executable": f"{uv} run --no-project", + "working_dir": os.getcwd(), + }, + ) + + +def test_uv_run_parser(): + from ray._private.runtime_env.uv_runtime_env_hook import ( + _create_uv_run_parser, + _parse_args, + ) + + parser = _create_uv_run_parser() + + options, command = _parse_args(parser, ["script.py"]) + assert command == ["script.py"] + + options, command = _parse_args(parser, ["--with", "requests", "example.py"]) + assert options.with_packages == ["requests"] + assert command == ["example.py"] + + options, command = _parse_args(parser, ["--python", "3.10", "example.py"]) + assert options.python == "3.10" + assert command == ["example.py"] + + options, command = _parse_args( + parser, ["--no-project", "script.py", "some", "args"] + ) + assert options.no_project + assert command == ["script.py", "some", "args"] + + options, command = _parse_args( + parser, ["--isolated", "-m", "module_name", "--extra-args"] + ) + assert options.module == "module_name" + assert options.isolated + assert command == ["--extra-args"] + + options, command = _parse_args( + parser, + [ + "--isolated", + "--extra", + "vllm", + "-m", + "my_module.submodule", + "--model", + "Qwen/Qwen3-32B", + ], + ) + assert options.isolated + assert options.extras == ["vllm"] + assert options.module == "my_module.submodule" + assert command == ["--model", "Qwen/Qwen3-32B"] + @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") def test_uv_run_runtime_env_hook_e2e(shutdown_only, with_uv, temp_dir): From ad7b7b03516bdcab95e658de0b1bfb17283fe925 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Thu, 10 Jul 2025 16:50:57 -0700 Subject: [PATCH 0151/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (3/N): Remove indirection layers of node initialization (#54481) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../_internal/serve/configs/server_models.py | 4 +-- .../serve/deployments/llm/llm_server.py | 5 +--- .../serve/deployments/llm/vllm/vllm_engine.py | 29 +++++++++---------- .../utils/node_initialization_utils.py | 5 ---- .../llm/tests/serve/mocks/mock_vllm_engine.py | 19 ------------ 5 files changed, 17 insertions(+), 45 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index c1b4972e8590..72857df44069 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -239,7 +239,7 @@ class LLMConfig(BaseModelExtended): ) _supports_vision: bool = PrivateAttr(False) - _model_architecture: str = PrivateAttr("") + _model_architecture: str = PrivateAttr("UNSPECIFIED") _engine_config: EngineConfigType = PrivateAttr(None) def _infer_supports_vision(self, model_id_or_path: str) -> None: @@ -262,7 +262,7 @@ def _set_model_architecture( """ if model_id_or_path: hf_config = transformers.PretrainedConfig.from_pretrained(model_id_or_path) - if hasattr(hf_config, "architectures"): + if hasattr(hf_config, "architectures") and hf_config.architectures: self._model_architecture = hf_config.architectures[0] if model_architecture: diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 226d18ae92af..9573d25f42a3 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -472,10 +472,7 @@ async def _start_engine(self): await self.engine.start() # Push telemetry reports for the model in the current deployment. - # Note: the model architecture is only available after node initialized and the - # engine is started. - if self._llm_config.model_architecture: - push_telemetry_report_for_all_models(all_models=[self._llm_config]) + push_telemetry_report_for_all_models(all_models=[self._llm_config]) async def _predict( self, diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 8087626086b6..c0ef0cff357e 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -44,7 +44,7 @@ ) from ray.llm._internal.serve.deployments.utils.node_initialization_utils import ( InitializeNodeOutput, - initialize_node as initialize_node_util, + initialize_node, ) from ray.llm._internal.serve.deployments.utils.server_utils import floats_to_base64 from ray.llm._internal.serve.observability.logging import get_logger @@ -185,7 +185,7 @@ def __init__( self.llm_config = llm_config self._stats = VLLMEngineStatTracker() - self.running = False + self._running = False self.model_config: "ModelConfig" = None self._engine_client = None self.vllm_config: "VllmConfig" = None @@ -200,16 +200,6 @@ def __init__( self._tokenize, executor=self._tokenizer_executor ) - @staticmethod - async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: - """Run the node initializer. - - This is separate from `start` so it can run concurrently while starting the engine actor. - - It's a static method so it can be overridden for testing. - """ - return await initialize_node_util(llm_config) - def _tokenize( self, prompt_text: str, add_special_tokens: bool = False ) -> List[int]: @@ -225,13 +215,13 @@ async def start(self) -> None: resolve_chat_template_content_format as _resolve_chat_template_content_format, ) - if self.running: + if self._running: # The engine is already running! logger.info("Skipping engine restart because the engine is already running") return self._engine_client = await self._start_engine() - self.running = True + self._running = True self.model_config = await self._engine_client.get_model_config() self._tokenizer = await self._engine_client.get_tokenizer() @@ -264,12 +254,21 @@ def resolve_chat_template_content_format(model_config, **kwargs): async def _start_engine(self) -> "EngineClient": # Initialize node and return all configurations - node_initialization = await self.initialize_node(self.llm_config) + node_initialization = await initialize_node(self.llm_config) vllm_engine_args, vllm_engine_config = await self._prepare_engine_config( node_initialization ) + # Apply checkpoint info to the llm_config. + # This is needed for capturing model capabilities + # (e.g. supports vision, etc.) on the llm_config. + config = self.llm_config.get_engine_config() + self.llm_config.apply_checkpoint_info( + config.actual_hf_model_id, + trust_remote_code=config.trust_remote_code, + ) + return self._start_async_llm_engine( vllm_engine_args, vllm_engine_config, diff --git a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py index e066722accab..c1ba2edb005f 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py @@ -116,11 +116,6 @@ async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: download_extra_files=True, ) - llm_config.apply_checkpoint_info( - engine_config.actual_hf_model_id, - trust_remote_code=engine_config.trust_remote_code, - ) - return InitializeNodeOutput( placement_group=pg, runtime_env=runtime_env, extra_init_kwargs=extra_init_kwargs ) diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 579c374493e0..356e1d3b3313 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -35,9 +35,6 @@ VLLMGenerationRequest, VLLMSamplingParams, ) -from ray.llm._internal.serve.deployments.utils.node_initialization_utils import ( - InitializeNodeOutput, -) class MockVLLMEngine(LLMEngine): @@ -54,14 +51,6 @@ def __init__(self, llm_config: LLMConfig): self._stats = VLLMEngineStatTracker() - @staticmethod - async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: - return InitializeNodeOutput( - placement_group=None, - runtime_env={}, - extra_init_kwargs={}, - ) - async def start(self): """No-Op""" return @@ -267,14 +256,6 @@ class MockMultiplexEngine(LLMEngine): def __init__(self, *args, **kwargs): self.started = False - @staticmethod - async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: - return InitializeNodeOutput( - placement_group=None, - runtime_env={}, - extra_init_kwargs={}, - ) - async def prepare_request( self, request_id: str, From 4e251d774efa42b17ad82db1f0aab86ef48214bf Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 10 Jul 2025 18:45:26 -0700 Subject: [PATCH 0152/1566] [serve] update `test_request_timeout` (#54519) Update `test_request_timeout` to use test_utils.get_application_url --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../ray/serve/tests/test_request_timeout.py | 83 ++++++------------- 1 file changed, 27 insertions(+), 56 deletions(-) diff --git a/python/ray/serve/tests/test_request_timeout.py b/python/ray/serve/tests/test_request_timeout.py index 1d502c62a8c8..c9c77b07d553 100644 --- a/python/ray/serve/tests/test_request_timeout.py +++ b/python/ray/serve/tests/test_request_timeout.py @@ -13,7 +13,10 @@ from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition from ray.dashboard.modules.serve.sdk import ServeSubmissionClient -from ray.serve._private.test_utils import send_signal_on_cancellation +from ray.serve._private.test_utils import ( + get_application_url, + send_signal_on_cancellation, +) from ray.serve.schema import ApplicationStatus, ServeInstanceDetails from ray.util.state import list_tasks @@ -22,7 +25,7 @@ def do_request(): # Set a timeout to 10 because some test use RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S = 5 # and httpx default timeout is 5 seconds. - return httpx.get("http://localhost:8000", timeout=10) + return httpx.get(get_application_url(use_localhost=True), timeout=10) @pytest.fixture @@ -32,11 +35,7 @@ def shutdown_serve(): @pytest.mark.parametrize( - "ray_instance", - [ - {"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "5"}, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "5"}], indirect=True ) def test_normal_operation(ray_instance, shutdown_serve): """ @@ -56,11 +55,7 @@ def f(*args): @pytest.mark.parametrize( - "ray_instance", - [ - {"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.1"}, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.1"}], indirect=True ) def test_request_hangs_in_execution(ray_instance, shutdown_serve): """ @@ -96,7 +91,7 @@ async def __call__(self): serve.run(HangsOnFirstRequest.bind()) - response = httpx.get("http://localhost:8000") + response = httpx.get(get_application_url(use_localhost=True)) assert response.status_code == 408 ray.get(signal_actor.send.remote()) @@ -120,7 +115,7 @@ async def __call__(self): hangs_on_first_request_app = HangsOnFirstRequest.bind() -def test_with_rest_api(ray_start_stop): +def test_with_rest_api(ray_instance, shutdown_serve): """Verify the REST API can configure the request timeout.""" config = { "proxy_location": "EveryNode", @@ -149,21 +144,17 @@ def application_running(): wait_for_condition(application_running, timeout=15) print("Application has started running. Testing requests...") - response = httpx.get("http://localhost:8000") + response = httpx.get(get_application_url(app_name="app", use_localhost=True)) assert response.status_code == 408 - response = httpx.get("http://localhost:8000") + response = httpx.get(get_application_url(app_name="app", use_localhost=True)) assert response.status_code == 200 print("Requests succeeded! Deleting application.") ServeSubmissionClient("http://localhost:8265").delete_applications() @pytest.mark.parametrize( - "ray_instance", - [ - {"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5"}, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5"}], indirect=True ) def test_request_hangs_in_assignment(ray_instance, shutdown_serve): """ @@ -195,11 +186,7 @@ async def __call__(self): @pytest.mark.parametrize( - "ray_instance", - [ - {"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "5"}, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "5"}], indirect=True ) def test_streaming_request_already_sent_and_timed_out(ray_instance, shutdown_serve): """ @@ -221,13 +208,15 @@ def __call__(self, request: Request) -> StreamingResponse: serve.run(BlockOnSecondChunk.bind()) + def health_check(): + response = httpx.get(f"{get_application_url(use_localhost=True)}/-/healthz") + assert response.status_code == 200 + return True + # Wait for the server to start by doing health check. - wait_for_condition( - lambda: httpx.get("http://localhost:8000/-/healthz").status_code == 200, - timeout=10, - ) + wait_for_condition(health_check, timeout=10) - with httpx.stream("GET", "http://localhost:8000", timeout=10) as r: + with httpx.stream("GET", get_application_url(use_localhost=True), timeout=10) as r: iterator = r.iter_text() # The first chunk should be received successfully. @@ -246,7 +235,7 @@ def __call__(self, request: Request) -> StreamingResponse: { "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5", "RAY_SERVE_ENABLE_TASK_EVENTS": "1", - }, + } ], indirect=True, ) @@ -286,13 +275,7 @@ def get_num_running_tasks(): @pytest.mark.parametrize( - "ray_instance", - [ - { - "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5", - }, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5"}], indirect=True ) @pytest.mark.parametrize("use_fastapi", [False, True]) def test_cancel_on_http_timeout_during_execution( @@ -337,19 +320,13 @@ async def __call__(self, request: Request): serve.run(Ingress.bind(inner.bind())) # Request should time out, causing the handler and handle call to be cancelled. - assert httpx.get("http://localhost:8000").status_code == 408 + assert httpx.get(get_application_url(use_localhost=True)).status_code == 408 ray.get(inner_signal_actor.wait.remote()) ray.get(outer_signal_actor.wait.remote()) @pytest.mark.parametrize( - "ray_instance", - [ - { - "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5", - }, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5"}], indirect=True ) def test_cancel_on_http_timeout_during_assignment(ray_instance, shutdown_serve): """Test the client disconnecting while the proxy is assigning the request.""" @@ -374,7 +351,7 @@ async def __call__(self, *args): wait_for_condition(lambda: ray.get(signal_actor.cur_num_waiters.remote()) == 1) # Request should time out, causing the handler and handle call to be cancelled. - assert httpx.get("http://localhost:8000").status_code == 408 + assert httpx.get(get_application_url(use_localhost=True)).status_code == 408 # Now signal the initial request to finish and check that the request sent via HTTP # never reaches the replica. @@ -385,13 +362,7 @@ async def __call__(self, *args): @pytest.mark.parametrize( - "ray_instance", - [ - { - "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5", - }, - ], - indirect=True, + "ray_instance", [{"RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S": "0.5"}], indirect=True ) def test_timeout_error_in_child_deployment_of_fastapi(ray_instance, shutdown_serve): """Test that timeout error in child deployment returns 408 with FastAPI ingress.""" @@ -416,7 +387,7 @@ async def root(self): serve.run(Parent.bind(Child.bind())) - r = httpx.get("http://localhost:8000/") + r = httpx.get(get_application_url(use_localhost=True)) assert r.status_code == 408 ray.get(signal.send.remote()) From c6d156c8b6681027ad8ae2298dbbb22500945bc1 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 10 Jul 2025 21:19:07 -0700 Subject: [PATCH 0153/1566] [release] remove dask from byod 3.9 deps (#54521) required to run release tests Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../ray_release/byod/requirements_byod_3.9.in | 2 +- .../byod/requirements_byod_3.9.txt | 73 +------------------ 2 files changed, 2 insertions(+), 73 deletions(-) diff --git a/release/ray_release/byod/requirements_byod_3.9.in b/release/ray_release/byod/requirements_byod_3.9.in index a60a833a8189..3f45139e034c 100644 --- a/release/ray_release/byod/requirements_byod_3.9.in +++ b/release/ray_release/byod/requirements_byod_3.9.in @@ -6,7 +6,6 @@ boto3 cmake crc32c cython -dask[complete] fastapi gcsfs==2023.5.0 gsutil @@ -39,3 +38,4 @@ typing-extensions xarray xgboost zarr +pyyaml diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index d6d2d197cde2..20b30abe24c7 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -470,7 +470,6 @@ click==8.1.7 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via # -c release/ray_release/byod/requirements_compiled.txt - # dask # flask # typer cloudpickle==2.2.0 ; python_version < "3.12" \ @@ -478,7 +477,6 @@ cloudpickle==2.2.0 ; python_version < "3.12" \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via # -c release/ray_release/byod/requirements_compiled.txt - # dask # gymnasium cmake==3.28.1 \ --hash=sha256:0d4051d101d151d8387156c463aa45c8cd0e164f870e0ac0c8c91d3ff08528e1 \ @@ -666,12 +664,6 @@ cython==0.29.37 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -dask[complete]==2023.6.1 ; python_version < "3.12" \ - --hash=sha256:56ccfb800c09ac7048435392f2bca2919a39bb9da502f0fddd728c9214d00098 \ - --hash=sha256:8077b708a8a6169da208714a8a9212937e7bed0326e5fa4681456a3538fc15a6 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # -r release/ray_release/byod/requirements_byod_3.9.in decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 @@ -824,7 +816,6 @@ fsspec==2023.5.0 \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via # -c release/ray_release/byod/requirements_compiled.txt - # dask # gcsfs # petastorm # s3fs @@ -1332,7 +1323,6 @@ importlib-metadata==6.11.0 \ # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in # ale-py - # dask # flask # gymnasium # markdown @@ -1410,56 +1400,10 @@ lightgbm==4.6.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -locket==1.0.0 \ - --hash=sha256:5c0d4c052a8bbbf750e056a8e65ccd309086f4f0f18a2eac306a8dfa4112a632 \ - --hash=sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # partd locust==2.18.0 \ --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae # via -r release/ray_release/byod/requirements_byod_3.9.in -lz4==4.3.3 \ - --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ - --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ - --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ - --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ - --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ - --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ - --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ - --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ - --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ - --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ - --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ - --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ - --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ - --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ - --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ - --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ - --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ - --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ - --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ - --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ - --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ - --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ - --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ - --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ - --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ - --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ - --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ - --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ - --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ - --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ - --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ - --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ - --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ - --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ - --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ - --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # dask markdown==3.5.1 \ --hash=sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc \ --hash=sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd @@ -1878,7 +1822,6 @@ packaging==23.0 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via # -c release/ray_release/byod/requirements_compiled.txt - # dask # petastorm # pytest # tensorboardx @@ -1916,12 +1859,6 @@ pandas==1.5.3 ; python_version < "3.12" \ # -c release/ray_release/byod/requirements_compiled.txt # petastorm # xarray -partd==1.4.1 \ - --hash=sha256:27e766663d36c161e2827aa3e28541c992f0b9527d3cca047e13fb3acdb989e6 \ - --hash=sha256:56c25dd49e6fea5727e731203c466c6e092f308d8f0024e199d02f6aa2167f67 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # dask petastorm==0.12.1 \ --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 # via -r release/ray_release/byod/requirements_byod_3.9.in @@ -2138,7 +2075,6 @@ pyarrow==14.0.2 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in - # dask # petastorm pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ @@ -2373,7 +2309,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via # -c release/ray_release/byod/requirements_compiled.txt - # dask + # -r release/ray_release/byod/requirements_byod_3.9.in pyzmq==26.0.3 \ --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ @@ -2834,13 +2770,6 @@ tomli==2.0.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # pytest -toolz==0.12.1 \ - --hash=sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85 \ - --hash=sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d - # via - # -c release/ray_release/byod/requirements_compiled.txt - # dask - # partd tornado==6.1 ; python_version < "3.12" \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ From 543fe5592a70acae0164bef673ab80d7d09425b9 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Fri, 11 Jul 2025 06:36:09 -0700 Subject: [PATCH 0154/1566] [core][telemetry/08-bis] api documentation + improvements (#54472) Address @MengjinYan's feedback in https://github.com/ray-project/ray/pull/53159, etc. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- .../open_telemetry_metric_recorder.py | 25 ++++++------ .../modules/reporter/reporter_agent.py | 10 +++++ .../test_open_telemetry_metric_recorder.py | 38 +++++++++++-------- src/ray/stats/metric.h | 12 +++--- src/ray/stats/metric_defs.h | 2 +- .../tests/metric_with_open_telemetry_test.cc | 29 +++++++++++++- .../open_telemetry_metric_recorder.cc | 37 ++++++------------ .../open_telemetry_metric_recorder.h | 30 +++++++++++++-- .../open_telemetry_metric_recorder_test.cc | 21 ++++++++-- 9 files changed, 132 insertions(+), 72 deletions(-) diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index 78c531650034..617128b06778 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -1,7 +1,7 @@ import logging import threading from collections import defaultdict -from typing import List, Optional +from typing import List from opentelemetry import metrics from opentelemetry.exporter.prometheus import PrometheusMetricReader @@ -44,11 +44,11 @@ def register_gauge_metric(self, name: str, description: str) -> None: def callback(options): # Take snapshot of current observations. with self._lock: - observations = self._observations_by_name.get(name, {}).items() - return [ - Observation(val, attributes=dict(tag_set)) - for tag_set, val in observations - ] + observations = self._observations_by_name[name].items() + return [ + Observation(val, attributes=dict(tag_set)) + for tag_set, val in observations + ] instrument = self.meter.create_observable_gauge( name=f"{NAMESPACE}_{name}", @@ -65,7 +65,11 @@ def register_counter_metric(self, name: str, description: str) -> None: """ with self._lock: if name in self._registered_instruments: - # Counter with the same name is already registered. + # Counter with the same name is already registered. This is a common + # case when metrics are exported from multiple Ray components (e.g., + # raylet, worker, etc.) running in the same node. Since each component + # may export metrics with the same name, the same metric might be + # registered multiple times. return instrument = self.meter.create_counter( @@ -115,10 +119,3 @@ def record_and_export(self, records: List[Record], global_tags=None): logger.error( f"Failed to record metric {gauge.name} with value {value} with tags {tags!r} and global tags {global_tags!r} due to: {e!r}" ) - - def _get_observable_metric_value(self, name: str, tags: dict) -> Optional[float]: - """ - Get the value of a metric with the given name and tags. This method is mainly - used for testing purposes. - """ - return self._observations_by_name[name].get(frozenset(tags.items()), 0.0) diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 65a098ec4913..4a7923d96da6 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -567,6 +567,12 @@ async def Export( request: metrics_service_pb2.ExportMetricsServiceRequest, context: ServicerContext, ) -> metrics_service_pb2.ExportMetricsServiceResponse: + """ + GRPC method that receives the open telemetry metrics exported from other Ray + components running in the same node (e.g., raylet, worker, etc.). This method + implements an interface of `metrics_service_pb2_grpc.MetricsServiceServicer` (https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/collector/metrics/v1/metrics_service.proto#L30), + which is the default open-telemetry metrics service interface. + """ for resource_metrics in request.resource_metrics: for scope_metrics in resource_metrics.scope_metrics: for metric in scope_metrics.metrics: @@ -590,6 +596,10 @@ async def Export( tag.key: tag.value.string_value for tag in data_point.attributes }, + # Note that all data points received from other Ray + # components are always double values. This is because the + # c++ apis (open_telemetry_metric_recorder.cc) only create + # metrics with double values. data_point.as_double, ) diff --git a/python/ray/tests/test_open_telemetry_metric_recorder.py b/python/ray/tests/test_open_telemetry_metric_recorder.py index 59fb45da0e5d..f7fc37e19479 100644 --- a/python/ray/tests/test_open_telemetry_metric_recorder.py +++ b/python/ray/tests/test_open_telemetry_metric_recorder.py @@ -28,13 +28,11 @@ def test_register_gauge_metric(mock_get_meter, mock_set_meter_provider): tags={"label_key": "label_value"}, value=42.0, ) - assert ( - recorder._get_observable_metric_value( - name="test_gauge", - tags={"label_key": "label_value"}, - ) - == 42.0 - ) + assert recorder._observations_by_name == { + "test_gauge": { + frozenset({("label_key", "label_value")}): 42.0, + } + } @patch("ray._private.telemetry.open_telemetry_metric_recorder.logger.warning") @@ -60,6 +58,14 @@ def test_register_counter_metric( value=10.0, ) mock_logger_warning.assert_not_called() + recorder.set_metric_value( + name="test_counter_unregistered", + tags={"label_key": "label_value"}, + value=10.0, + ) + mock_logger_warning.assert_called_once_with( + "Unsupported synchronous instrument type for metric: test_counter_unregistered." + ) @patch("opentelemetry.metrics.set_meter_provider") @@ -124,23 +130,23 @@ def test_record_and_export(mock_get_meter, mock_set_meter_provider): "hi": { frozenset( { - "label_key": "label_value", - "global_label_key": "global_label_value", - }.items() + ("label_key", "label_value"), + ("global_label_key", "global_label_value"), + } ): 3.0 }, "w00t": { frozenset( { - "label_key": "label_value", - "global_label_key": "global_label_value", - }.items() + ("label_key", "label_value"), + ("global_label_key", "global_label_value"), + } ): 2.0, frozenset( { - "another_label_key": "another_label_value", - "global_label_key": "global_label_value", - }.items() + ("another_label_key", "another_label_value"), + ("global_label_key", "global_label_value"), + } ): 20.0, }, } diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 630ce4e8800b..b26b4449149c 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -343,9 +343,9 @@ class Stats { } /// Helper function to record a value, either through OpenTelemetry or OpenCensus. - void record(double val, - const std::vector> - &open_census_tags) { + void RecordValue(double val, + const std::vector> + &open_census_tags) { if (!OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered(name_)) { // Use OpenCensus to record the metric if OpenTelemetry is not registered. opencensus::stats::Record({{*measure_, val}}, std::move(open_census_tags)); @@ -378,7 +378,7 @@ class Stats { TagsType combined_tags = StatsConfig::instance().GetGlobalTags(); CheckPrintableChar(tag_val); combined_tags.emplace_back(tag_keys_[0], std::move(tag_val)); - record(val, combined_tags); + RecordValue(val, combined_tags); } /// Record a value @@ -393,7 +393,7 @@ class Stats { CheckPrintableChar(tag_val); combined_tags.emplace_back(TagKeyType::Register(tag_key), std::move(tag_val)); } - record(val, combined_tags); + RecordValue(val, combined_tags); } /// Record a value @@ -409,7 +409,7 @@ class Stats { CheckPrintableChar(tag_val); } combined_tags.insert(combined_tags.end(), tags.begin(), tags.end()); - record(val, combined_tags); + RecordValue(val, combined_tags); } private: diff --git a/src/ray/stats/metric_defs.h b/src/ray/stats/metric_defs.h index 78d8385d3e8f..cf54a8d5e6d0 100644 --- a/src/ray/stats/metric_defs.h +++ b/src/ray/stats/metric_defs.h @@ -22,7 +22,7 @@ namespace stats { /// The definitions of metrics that you can use everywhere. /// -/// There are 4 types of metric: +/// There are 4 types of metric. The values of the metrics are of type double. /// Histogram: Histogram distribution of metric points. /// Gauge: Keeps the last recorded value, drops everything before. /// Count: The count of the number of metric points. diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index 1e625e75cc78..b4a59cb2e428 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -45,15 +45,40 @@ class MetricTest : public ::testing::Test { } StatsConfig::instance().SetIsInitialized(true); } + + std::optional GetObservableMetricValue( + const std::string &name, + const absl::flat_hash_map &tags) { + auto &recorder = OpenTelemetryMetricRecorder::GetInstance(); + std::lock_guard lock(recorder.mutex_); + auto it = recorder.observations_by_name_.find(name); + if (it == recorder.observations_by_name_.end()) { + return std::nullopt; // Not registered + } + auto tag_it = it->second.find(tags); + if (tag_it != it->second.end()) { + return tag_it->second; // Get the value + } + return std::nullopt; + } }; TEST_F(MetricTest, TestGaugeMetric) { ASSERT_TRUE( OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered("metric_gauge_test")); STATS_metric_gauge_test.Record(42.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); - ASSERT_EQ(OpenTelemetryMetricRecorder::GetInstance().GetObservableMetricValue( - "metric_gauge_test", {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), + // Test valid tags for a registered metric. + ASSERT_EQ(GetObservableMetricValue("metric_gauge_test", + {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), 42.0); + // Test invalid tags for a registered metric. + ASSERT_EQ(GetObservableMetricValue("metric_gauge_test", + {{"Tag1", "Value1"}, {"Tag2", "Value3"}}), + std::nullopt); + // Test unregistered metric. + ASSERT_EQ(GetObservableMetricValue("metric_gauge_test_unregistered", + {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), + std::nullopt); } TEST_F(MetricTest, TestCounterMetric) { diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.cc b/src/ray/telemetry/open_telemetry_metric_recorder.cc index 29a1ae2ffb7c..ba0fb8f665ae 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.cc +++ b/src/ray/telemetry/open_telemetry_metric_recorder.cc @@ -47,6 +47,10 @@ namespace ray { namespace telemetry { OpenTelemetryMetricRecorder &OpenTelemetryMetricRecorder::GetInstance() { + // Note: This creates a singleton instance of the OpenTelemetryMetricRecorder. The + // singleton lives until and is cleaned up automatically by the process exit. The + // OpenTelemetryMetricRecorder is created this way so that the singleton instance + // can be used to register/record metrics across the codebase easily. static auto *instance = new OpenTelemetryMetricRecorder(); return *instance; } @@ -101,9 +105,8 @@ void OpenTelemetryMetricRecorder::CollectGaugeMetricValues( opentelemetry::metrics::ObserverResultT> &observer) { std::lock_guard lock(mutex_); auto it = observations_by_name_.find(name); - if (it == observations_by_name_.end()) { - return; // Not registered - } + RAY_CHECK(it != observations_by_name_.end()) + << "Metric " << name << " is not registered"; for (const auto &observation : it->second) { observer->Observe(observation.second, observation.first); } @@ -116,11 +119,10 @@ void OpenTelemetryMetricRecorder::RegisterGaugeMetric(const std::string &name, instrument; { std::lock_guard lock(mutex_); - if (registered_instruments_.contains(name)) { - return; // Already registered - } - gauge_callback_names_.push_back(name); - name_ptr = &gauge_callback_names_.back(); + RAY_CHECK(!registered_instruments_.contains(name)) + << "Metric " << name << " is already registered"; + gauge_metric_names_.push_back(name); + name_ptr = &gauge_metric_names_.back(); instrument = GetMeter()->CreateDoubleObservableGauge(name, description, ""); observations_by_name_[name] = {}; registered_instruments_[name] = instrument; @@ -148,9 +150,8 @@ bool OpenTelemetryMetricRecorder::IsMetricRegistered(const std::string &name) { void OpenTelemetryMetricRecorder::RegisterCounterMetric(const std::string &name, const std::string &description) { std::lock_guard lock(mutex_); - if (registered_instruments_.contains(name)) { - return; // Already registered - } + RAY_CHECK(!registered_instruments_.contains(name)) + << "Metric " << name << " is already registered"; auto instrument = GetMeter()->CreateDoubleCounter(name, description, ""); registered_instruments_[name] = std::move(instrument); } @@ -167,20 +168,6 @@ void OpenTelemetryMetricRecorder::SetMetricValue( } } -std::optional OpenTelemetryMetricRecorder::GetObservableMetricValue( - const std::string &name, const absl::flat_hash_map &tags) { - std::lock_guard lock(mutex_); - auto it = observations_by_name_.find(name); - if (it == observations_by_name_.end()) { - return std::nullopt; // Not registered - } - auto tag_it = it->second.find(tags); - if (tag_it != it->second.end()) { - return tag_it->second; // Get the value - } - return std::nullopt; -} - void OpenTelemetryMetricRecorder::SetObservableMetricValue( const std::string &name, absl::flat_hash_map &&tags, diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.h b/src/ray/telemetry/open_telemetry_metric_recorder.h index f82199976669..cc235fb872d0 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.h +++ b/src/ray/telemetry/open_telemetry_metric_recorder.h @@ -36,6 +36,22 @@ namespace telemetry { // OpenTelemetryMetricRecorder is a singleton class that initializes the OpenTelemetry // grpc exporter and creates a Meter for recording metrics. It is responsible for // exporting metrics to a repoter_agent.py endpoint at a given interval. +// +// This API is thread-safe. Usage: +// +// 1. Register the OpenTelemetryMetricRecorder with the specified grpc endpoint, +// interval and timeout via RegisterGrpcExporter(). This should be called only once +// per process. It is recommended to call this in the main function. Note: this step +// does not need to be called before step 2 and 3. Registered metrics and +// recorded values from step 2 and 3 will be preserved in memory by open +// telemetry until the GrpcExporter is created and registered +// 2. Register the metrics to be recorded via RegisterGaugeMetric() etc. +// 3. Record the metrics via SetMetricValue(). +// 4. At the end of the main function, call the Shutdown() method to flush the +// remaining metrics. +// +// See stats.h for an example of how to use this API. +// class OpenTelemetryMetricRecorder { public: // Returns the singleton instance of OpenTelemetryMetricRecorder. This should be @@ -85,8 +101,8 @@ class OpenTelemetryMetricRecorder { std::shared_ptr meter_provider_; // Map of metric names to their observations (aka. set of tags and metric values). - // This contains all data points for a given metric for a given interval. This map is - // cleared at the end of each interval. + // This contains all data points for a given metric for a given interval. This map + // should only be used for Gauge metrics. absl::flat_hash_map< std::string, absl::flat_hash_map, double>> @@ -100,8 +116,10 @@ class OpenTelemetryMetricRecorder { opentelemetry::nostd::unique_ptr< opentelemetry::metrics::SynchronousInstrument>>> registered_instruments_; - // List of gauge callback names. This is used as data for the gauge callbacks. - std::list gauge_callback_names_; + // List of gauge callback names. We store the names so they can be passed by reference + // to gauge callbacks, allowing the callbacks to report metric values associated with + // the name when invoked. + std::list gauge_metric_names_; // Lock for thread safety when modifying state. std::mutex mutex_; // Flag to indicate if the recorder is shutting down. This is used to make sure that @@ -116,6 +134,8 @@ class OpenTelemetryMetricRecorder { absl::flat_hash_map &&tags, double value); + // Get the value of an observable metric given the name and the tags. This function + // is used only for testing. std::optional GetObservableMetricValue( const std::string &name, const absl::flat_hash_map &tags); @@ -125,6 +145,8 @@ class OpenTelemetryMetricRecorder { // Declare the test class as a friend to allow access to private members for testing. friend class MetricTest_TestGaugeMetric_Test; + friend class MetricTest; + friend class OpenTelemetryMetricRecorderTest; friend class OpenTelemetryMetricRecorderTest_TestGaugeMetric_Test; }; } // namespace telemetry diff --git a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc index d589188291a6..08041dd586d3 100644 --- a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc +++ b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc @@ -37,6 +37,21 @@ class OpenTelemetryMetricRecorderTest : public ::testing::Test { OpenTelemetryMetricRecorder::GetInstance().Shutdown(); } + std::optional GetObservableMetricValue( + const std::string &name, + const absl::flat_hash_map &tags) { + std::lock_guard lock(recorder_.mutex_); + auto it = recorder_.observations_by_name_.find(name); + if (it == recorder_.observations_by_name_.end()) { + return std::nullopt; // Not registered + } + auto tag_it = it->second.find(tags); + if (tag_it != it->second.end()) { + return tag_it->second; // Get the value + } + return std::nullopt; + } + protected: OpenTelemetryMetricRecorder &recorder_; }; @@ -45,11 +60,9 @@ TEST_F(OpenTelemetryMetricRecorderTest, TestGaugeMetric) { recorder_.RegisterGaugeMetric("test_metric", "Test metric description"); recorder_.SetMetricValue("test_metric", {{"tag1", "value1"}}, 42.0); // Get a non-empty value of a registered gauge metric and tags - ASSERT_EQ(recorder_.GetObservableMetricValue("test_metric", {{"tag1", "value1"}}), - 42.0); + ASSERT_EQ(GetObservableMetricValue("test_metric", {{"tag1", "value1"}}), 42.0); // Get an empty value of a registered gauge metric with unregistered tags - ASSERT_EQ(recorder_.GetObservableMetricValue("test_metric", {{"tag1", "value2"}}), - std::nullopt); + ASSERT_EQ(GetObservableMetricValue("test_metric", {{"tag1", "value2"}}), std::nullopt); } TEST_F(OpenTelemetryMetricRecorderTest, TestCounterMetric) { From 35ce350c5a8d3552dd8254d81859ca3d9cee5a02 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Fri, 11 Jul 2025 06:36:57 -0700 Subject: [PATCH 0155/1566] [core][telemetry/09] record sum metric e2e (#53512) This is a series of PR to migrate metric collection from opencencus to openlemetry. For context on the existing components, see https://github.com/ray-project/ray/pull/53098. ------ This PR - Support sum metric e2e Test: - CI --------- Signed-off-by: can Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../open_telemetry_metric_recorder.py | 22 +++++++++++++++ .../modules/reporter/reporter_agent.py | 9 +++++++ .../test_open_telemetry_metric_recorder.py | 27 ++++++++++++++++++- src/ray/stats/metric.h | 2 ++ .../tests/metric_with_open_telemetry_test.cc | 12 +++++++++ .../open_telemetry_metric_recorder.cc | 13 +++++++++ .../open_telemetry_metric_recorder.h | 3 +++ .../open_telemetry_metric_recorder_test.cc | 6 +++++ 8 files changed, 93 insertions(+), 1 deletion(-) diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index 617128b06778..426272dc92f7 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -79,6 +79,26 @@ def register_counter_metric(self, name: str, description: str) -> None: ) self._registered_instruments[name] = instrument + def register_sum_metric(self, name: str, description: str) -> None: + """ + Register a sum metric with the given name and description. + """ + with self._lock: + if name in self._registered_instruments: + # Sum with the same name is already registered. This is a common + # case when metrics are exported from multiple Ray components (e.g., + # raylet, worker, etc.) running in the same node. Since each component + # may export metrics with the same name, the same metric might be + # registered multiple times. + return + + instrument = self.meter.create_up_down_counter( + name=f"{NAMESPACE}_{name}", + description=description, + unit="1", + ) + self._registered_instruments[name] = instrument + def set_metric_value(self, name: str, tags: dict, value: float): """ Set the value of a metric with the given name and tags. If the metric is not @@ -97,6 +117,8 @@ def set_metric_value(self, name: str, tags: dict, value: float): instrument = self._registered_instruments.get(name) if isinstance(instrument, metrics.Counter): instrument.add(value, attributes=tags) + elif isinstance(instrument, metrics.UpDownCounter): + instrument.add(value, attributes=tags) else: logger.warning( f"Unsupported synchronous instrument type for metric: {name}." diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 4a7923d96da6..7ecbfdb9ed14 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -589,6 +589,15 @@ async def Export( metric.name, metric.description or "" ) data_points = metric.sum.data_points + # sum metrics + if ( + metric.WhichOneof("data") == "sum" + and not metric.sum.is_monotonic + ): + self._open_telemetry_metric_recorder.register_sum_metric( + metric.name, metric.description or "" + ) + data_points = metric.sum.data_points for data_point in data_points: self._open_telemetry_metric_recorder.set_metric_value( metric.name, diff --git a/python/ray/tests/test_open_telemetry_metric_recorder.py b/python/ray/tests/test_open_telemetry_metric_recorder.py index f7fc37e19479..a53941fa098b 100644 --- a/python/ray/tests/test_open_telemetry_metric_recorder.py +++ b/python/ray/tests/test_open_telemetry_metric_recorder.py @@ -2,7 +2,7 @@ from unittest.mock import MagicMock, patch import pytest -from opentelemetry.metrics import NoOpCounter +from opentelemetry.metrics import NoOpCounter, NoOpUpDownCounter from ray._private.telemetry.open_telemetry_metric_recorder import ( OpenTelemetryMetricRecorder, @@ -68,6 +68,31 @@ def test_register_counter_metric( ) +@patch("ray._private.telemetry.open_telemetry_metric_recorder.logger.warning") +@patch("opentelemetry.metrics.set_meter_provider") +@patch("opentelemetry.metrics.get_meter") +def test_register_sum_metric( + mock_get_meter, mock_set_meter_provider, mock_logger_warning +): + """ + Test the register_sum_metric method of OpenTelemetryMetricRecorder. + - Test that it registers a sum metric with the correct name and description. + - Test that a value can be set for the sum metric successfully without warnings. + """ + mock_meter = MagicMock() + mock_meter.create_up_down_counter.return_value = NoOpUpDownCounter(name="test_sum") + mock_get_meter.return_value = mock_meter + recorder = OpenTelemetryMetricRecorder() + recorder.register_sum_metric(name="test_sum", description="Test Sum") + assert "test_sum" in recorder._registered_instruments + recorder.set_metric_value( + name="test_sum", + tags={"label_key": "label_value"}, + value=10.0, + ) + mock_logger_warning.assert_not_called() + + @patch("opentelemetry.metrics.set_meter_provider") @patch("opentelemetry.metrics.get_meter") def test_record_and_export(mock_get_meter, mock_set_meter_provider): diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index b26b4449149c..1f7c167ab9f2 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -272,6 +272,8 @@ void RegisterView(const std::string &name, OpenTelemetryMetricRecorder::GetInstance().RegisterGaugeMetric(name, description); } else if (T == COUNT) { OpenTelemetryMetricRecorder::GetInstance().RegisterCounterMetric(name, description); + } else if (T == SUM) { + OpenTelemetryMetricRecorder::GetInstance().RegisterSumMetric(name, description); } else { internal::RegisterAsView(view_descriptor, tag_keys); } diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index b4a59cb2e428..9d63c0a5f290 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -34,6 +34,9 @@ DEFINE_stats(metric_counter_test, (), ray::stats::COUNT); +DECLARE_stats(metric_sum_test); +DEFINE_stats(metric_sum_test, "A test sum metric", ("Tag1", "Tag2"), (), ray::stats::SUM); + class MetricTest : public ::testing::Test { public: MetricTest() = default; @@ -90,5 +93,14 @@ TEST_F(MetricTest, TestCounterMetric) { STATS_metric_counter_test.Record(100.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); } +TEST_F(MetricTest, TestSumMetric) { + ASSERT_TRUE( + OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered("metric_sum_test")); + // We only test that recording is not crashing. The actual value is not checked + // because open telemetry does not provide a way to retrieve the value of a counter. + // Checking value is performed via e2e tests instead (e.g., in test_metrics_agent.py). + STATS_metric_sum_test.Record(200.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); +} + } // namespace telemetry } // namespace ray diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.cc b/src/ray/telemetry/open_telemetry_metric_recorder.cc index ba0fb8f665ae..099fa17a0e13 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.cc +++ b/src/ray/telemetry/open_telemetry_metric_recorder.cc @@ -156,6 +156,16 @@ void OpenTelemetryMetricRecorder::RegisterCounterMetric(const std::string &name, registered_instruments_[name] = std::move(instrument); } +void OpenTelemetryMetricRecorder::RegisterSumMetric(const std::string &name, + const std::string &description) { + std::lock_guard lock(mutex_); + if (registered_instruments_.contains(name)) { + return; // Already registered + } + auto instrument = GetMeter()->CreateDoubleUpDownCounter(name, description, ""); + registered_instruments_[name] = std::move(instrument); +} + void OpenTelemetryMetricRecorder::SetMetricValue( const std::string &name, absl::flat_hash_map &&tags, @@ -196,6 +206,9 @@ void OpenTelemetryMetricRecorder::SetSynchronousMetricValue( if (auto *counter = dynamic_cast *>( sync_instr_ptr->get())) { counter->Add(value, std::move(tags)); + } else if (auto *sum = dynamic_cast *>( + sync_instr_ptr->get())) { + sum->Add(value, std::move(tags)); } else { // Unknown or unsupported instrument type RAY_CHECK(false) << "Unsupported synchronous instrument type for metric: " << name; diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.h b/src/ray/telemetry/open_telemetry_metric_recorder.h index cc235fb872d0..d5654d29c7ef 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.h +++ b/src/ray/telemetry/open_telemetry_metric_recorder.h @@ -74,6 +74,9 @@ class OpenTelemetryMetricRecorder { // Registers a counter metric with the given name and description void RegisterCounterMetric(const std::string &name, const std::string &description); + // Registers a sum metric with the given name and description + void RegisterSumMetric(const std::string &name, const std::string &description); + // Check if a metric with the given name is registered. bool IsMetricRegistered(const std::string &name); diff --git a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc index 08041dd586d3..5fc78229a161 100644 --- a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc +++ b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc @@ -71,5 +71,11 @@ TEST_F(OpenTelemetryMetricRecorderTest, TestCounterMetric) { ASSERT_TRUE(recorder_.IsMetricRegistered("test_counter")); } +TEST_F(OpenTelemetryMetricRecorderTest, TestSumMetric) { + recorder_.RegisterSumMetric("test_sum", "Test sum description"); + // Check that the sum metric is registered + ASSERT_TRUE(recorder_.IsMetricRegistered("test_sum")); +} + } // namespace telemetry } // namespace ray From c685f86cdba8761b44b5e963fdedca948d381725 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Fri, 11 Jul 2025 10:00:54 -0700 Subject: [PATCH 0156/1566] [serve] Fix `test_deploy` on windows (#54511) Use localhost when sending the http request in `test_deploy.py::test_deploy_multiple_apps_batched` --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/tests/test_deploy.py b/python/ray/serve/tests/test_deploy.py index 9ca28962ac9f..acf2d0de8334 100644 --- a/python/ray/serve/tests/test_deploy.py +++ b/python/ray/serve/tests/test_deploy.py @@ -716,9 +716,10 @@ def __call__(self): assert serve.get_app_handle("a").remote().result() == "a" assert serve.get_app_handle("b").remote().result() == "b" - url = get_application_url("HTTP") - assert httpx.get(f"{url}/a").text == "a" - assert httpx.get(f"{url}/b").text == "b" + urla = get_application_url("HTTP", app_name="a", use_localhost=True) + urlb = get_application_url("HTTP", app_name="b", use_localhost=True) + assert httpx.get(urla).text == "a" + assert httpx.get(urlb).text == "b" def test_redeploy_multiple_apps_batched(serve_instance): From d23e5ece2a42c9ddd4b4ae8f736c46ec6b4988bb Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 11 Jul 2025 10:16:07 -0700 Subject: [PATCH 0157/1566] [ci] bumping uv binary version (#54514) - bumping uv binary version (0.7.19 -> 0.7.20) - correcting checksum (incorrect for ver 0.7.19) - adding unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- WORKSPACE | 12 +++++------ ci/raydepsets/BUILD.bazel | 15 +++++++------ ci/raydepsets/test_cli.py | 37 +++++++++++++++++++++++++++++++++ ci/raydepsets/tests/test_cli.py | 10 --------- 4 files changed, 52 insertions(+), 22 deletions(-) create mode 100644 ci/raydepsets/test_cli.py delete mode 100644 ci/raydepsets/tests/test_cli.py diff --git a/WORKSPACE b/WORKSPACE index eb81d2a60c4b..8e54bbd551ba 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -105,14 +105,14 @@ filegroup( http_archive( name = "uv_x86_64", build_file_content = """ - filegroup( - name = "file", - srcs = glob(["**"]), - visibility = ["//visibility:public"], +filegroup( + name = "file", + srcs = glob(["**"]), + visibility = ["//visibility:public"], ) """, - sha256 = "1785537fc65a35609dc33063b5f1cc85437a08ade4c0a832071c018481afe515", - urls = ["https://github.com/astral-sh/uv/releases/download/0.7.19/uv-i686-unknown-linux-gnu.tar.gz"], + sha256 = "10f204426ff188925d22a53c1d0310d190a8d4d24513712e1b8e2ca9873f0666", + urls = ["https://github.com/astral-sh/uv/releases/download/0.7.20/uv-x86_64-unknown-linux-gnu.tar.gz"], ) http_archive( diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 80057b3f7616..68e67fd25a8b 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -1,4 +1,5 @@ load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_library( name = "raydepsets_lib", @@ -13,20 +14,22 @@ py_library( py_binary( name = "raydepsets", srcs = ["raydepsets.py"], - deps = [":raydepsets_lib"], exec_compatible_with = ["//:hermetic_python"], + deps = [":raydepsets_lib"], ) py_test( name = "test_cli", - srcs = ["tests/test_cli.py"], + srcs = ["test_cli.py"], + data = ["@uv_x86_64//:file"], exec_compatible_with = ["//:hermetic_python"], - deps = [ - ci_require("pytest"), - ":raydepsets_lib", - ], tags = [ "ci_unit", "team:ci", ], + deps = [ + ci_require("bazel-runfiles"), + ci_require("pytest"), + ":raydepsets_lib", + ], ) diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py new file mode 100644 index 000000000000..377e3440b65b --- /dev/null +++ b/ci/raydepsets/test_cli.py @@ -0,0 +1,37 @@ +import pytest +import subprocess +import runfiles +import platform +import sys +import unittest + +_REPO_NAME = "com_github_ray_project_ray" +_runfiles = runfiles.Create() + + +class TestCli(unittest.TestCase): + def test_uv_binary_exists(self): + assert _uv_binary() is not None + + def test_uv_version(self): + result = subprocess.run( + [_uv_binary(), "--version"], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + assert result.returncode == 0 + assert "uv 0.7.20" in result.stdout.decode("utf-8") + assert result.stderr.decode("utf-8") == "" + + +def _uv_binary(): + system = platform.system() + if system != "Linux" or platform.processor() != "x86_64": + raise RuntimeError( + f"Unsupported platform/processor: {system}/{platform.processor()}" + ) + return _runfiles.Rlocation("uv_x86_64/uv-x86_64-unknown-linux-gnu/uv") + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py deleted file mode 100644 index 6ad2cdf528b9..000000000000 --- a/ci/raydepsets/tests/test_cli.py +++ /dev/null @@ -1,10 +0,0 @@ -import pytest -import sys - - -def test_cli(): - pass - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) From 5590a606216cc10953defeba43b9e33b7e1b6c1f Mon Sep 17 00:00:00 2001 From: Jack Francis Date: Fri, 11 Jul 2025 10:23:02 -0700 Subject: [PATCH 0158/1566] [Doc][Cluster] Update Azure cluster docs (#54517) This PR updates the Azure Ray cluster docs to be more correct for a first-time user. --------- Signed-off-by: Jack Francis Signed-off-by: Douglas Strodtman --- .../user-guides/launching-clusters/azure.md | 56 ++++++++++++++++--- python/ray/autoscaler/azure/example-full.yaml | 43 +++++++------- 2 files changed, 70 insertions(+), 29 deletions(-) diff --git a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md index 2130c0448d91..7fb6b4402ef2 100644 --- a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md +++ b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md @@ -29,31 +29,73 @@ pip install -U ray[default] Next, install the Azure CLI (`pip install -U azure-cli azure-identity`) and login using `az login`. ```bash -# Install azure cli. -pip install azure-cli azure-identity azure-mgmt-network +# Install packages to use azure CLI. +pip install azure-cli azure-identity # Login to azure. This will redirect you to your web browser. az login ``` -### Start Ray with the Ray cluster launcher +### Install Azure SDK libraries +Now, install the Azure SDK libraries that enable the Ray cluster launcher to build Azure infrastructure. + +```bash +# Install azure SDK libraries. +pip install azure-core azure-mgmt-network azure-mgmt-common azure-mgmt-resource azure-mgmt-compute msrestazure +``` + +### Start Ray with the Ray cluster launcher The provided [cluster config file](https://github.com/ray-project/ray/tree/eacc763c84d47c9c5b86b26a32fd62c685be84e6/python/ray/autoscaler/azure/example-full.yaml) will create a small cluster with a Standard DS2v3 on-demand head node that is configured to autoscale to up to two Standard DS2v3 [spot-instance](https://docs.microsoft.com/en-us/azure/virtual-machines/windows/spot-vms) worker nodes. Note that you'll need to fill in your Azure [resource_group](https://github.com/ray-project/ray/blob/eacc763c84d47c9c5b86b26a32fd62c685be84e6/python/ray/autoscaler/azure/example-full.yaml#L42) and [location](https://github.com/ray-project/ray/blob/eacc763c84d47c9c5b86b26a32fd62c685be84e6/python/ray/autoscaler/azure/example-full.yaml#L41) in those templates. You also need set the subscription to use. You can do this from the command line with `az account set -s ` or by filling in the [subscription_id](https://github.com/ray-project/ray/blob/eacc763c84d47c9c5b86b26a32fd62c685be84e6/python/ray/autoscaler/azure/example-full.yaml#L44) in the cluster config file. +#### Download and configure the example configuration - -Test that it works by running the following commands from your local machine: +Download the reference example locally: ```bash # Download the example-full.yaml wget https://raw.githubusercontent.com/ray-project/ray/master/python/ray/autoscaler/azure/example-full.yaml +``` -# Update the example-full.yaml to update resource_group, location, and subscription_id. -# vi example-full.yaml +To connect to the provisioned head node VM, you need to ensure that you properly configure the `auth.ssh_private_key`, `auth.ssh_public_key`, and `file_mounts` configuration values to point to file paths on your local environment that have a valid key pair. By default the configuration assumes `$HOME/.ssh/id_rsa` and `$HOME/.ssh/id_rsa.pub`. If you have a different set of key pair files you want to use (for example a `ed25519` pair), update the `example-full.yaml` configurations to use them. + +For example a custom-configured `example-full.yaml` file might look like the following if you're using a `ed25519` key pair: + +```sh +$ git diff example-full.yaml +diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml +index b25f1b07f1..c65fb77219 100644 +--- a/python/ray/autoscaler/azure/example-full.yaml ++++ b/python/ray/autoscaler/azure/example-full.yaml +@@ -61,9 +61,9 @@ auth: + ssh_user: ubuntu + # You must specify paths to matching private and public key pair files. + # Use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair. +- ssh_private_key: ~/.ssh/id_rsa ++ ssh_private_key: ~/.ssh/id_ed25519 + # Changes to this should match what is specified in file_mounts. +- ssh_public_key: ~/.ssh/id_rsa.pub ++ ssh_public_key: ~/.ssh/id_ed25519.pub + + # You can make more specific customization to node configurations can be made using the ARM template azure-vm-template.json file. + # See this documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines +@@ -128,7 +128,7 @@ head_node_type: ray.head.default + file_mounts: { + # "/path1/on/remote/machine": "/path1/on/local/machine", + # "/path2/on/remote/machine": "/path2/on/local/machine", +- "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} ++ "~/.ssh/id_ed25519.pub": "~/.ssh/id_ed25519.pub"} + + # Files or directories to copy from the head node to the worker nodes. The format is a + # list of paths. Ray copies the same path on the head node to the worker node. + ``` + +#### Launch the Ray cluster on Azure +```bash # Create or update the cluster. When the command finishes, it will print # out the command that can be used to SSH into the cluster head node. ray up example-full.yaml diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml index b25f1b07f1bd..6bb911268f05 100644 --- a/python/ray/autoscaler/azure/example-full.yaml +++ b/python/ray/autoscaler/azure/example-full.yaml @@ -1,4 +1,4 @@ -# An unique identifier for the head node and workers of this cluster. +# A unique identifier for the head node and workers of this cluster. cluster_name: default # The maximum number of workers nodes to launch in addition to the head @@ -40,33 +40,33 @@ provider: # https://azure.microsoft.com/en-us/global-infrastructure/locations location: westus2 resource_group: ray-cluster - # set subscription id otherwise the default from az cli will be used + # Set subscription id otherwise the default from az cli will be used. # subscription_id: 00000000-0000-0000-0000-000000000000 - # set unique subnet mask or a random mask will be used + # Set unique subnet mask or a random mask will be used. # subnet_mask: 10.0.0.0/16 - # set unique id for resources in this cluster - # if not set a default id will be generated based on the resource group and cluster name + # Set unique id for resources in this cluster. + # If not set a default id will be generated based on the resource group and cluster name. # unique_id: RAY1 - # set managed identity name and resource group - # if not set, a default user-assigned identity will be generated in the resource group specified above + # Set managed identity name and resource group; + # If not set, a default user-assigned identity will be generated in the resource group specified above. # msi_name: ray-cluster-msi # msi_resource_group: other-rg - # Set provisioning and use of public/private IPs for head and worker nodes. If both options below are true, - # only the head node will have a public IP address provisioned. + # Set provisioning and use of public/private IPs for head and worker nodes; + # If both options below are true, only the head node will have a public IP address provisioned. # use_internal_ips: True # use_external_head_ip: True # How Ray will authenticate with newly launched nodes. auth: ssh_user: ubuntu - # you must specify paths to matching private and public key pair files - # use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair + # You must specify paths to matching private and public key pair files. + # Use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair. ssh_private_key: ~/.ssh/id_rsa - # changes to this should match what is specified in file_mounts + # Changes to this should match what is specified in file_mounts. ssh_public_key: ~/.ssh/id_rsa.pub -# More specific customization to node configurations can be made using the ARM template azure-vm-template.json file -# See documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines +# You can make more specific customization to node configurations can be made using the ARM template azure-vm-template.json file. +# See this documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines # Changes to the local file will be used during deployment of the head node, however worker nodes deployment occurs # on the head node, so changes to the template must be included in the wheel file used in setup_commands section below @@ -87,13 +87,12 @@ available_node_types: imageSku: 1804-gen2 imageVersion: latest - # OR use a custom image from Azure Compute Gallery - # note if you use a custom image, imagePublisher, - # imageOffer, imageSku, and imageVersion are ignored + # Or, use a custom image from Azure Compute Gallery. + # Note: if you use a custom image, then imagePublisher, + # imageOffer, imageSku, and imageVersion are ignored. # imageId: /subscriptions/[subscription-id]/resourceGroups/[resource-group-id]/providers/Microsoft.Compute/galleries/[azure-compute-gallery-id]/images/[image-id]/versions/[image-version] - # optionally set osDiskSize if you want to use a - # custom disk size + # Optionally set osDiskSize if you want to use a custom disk size. # osDiskSize: 128 ray.worker.default: @@ -131,16 +130,16 @@ file_mounts: { "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} # Files or directories to copy from the head node to the worker nodes. The format is a -# list of paths. The same path on the head node will be copied to the worker node. +# list of paths. Ray copies the same path on the head node to the worker node. # This behavior is a subset of the file_mounts behavior. In the vast majority of cases # you should just use file_mounts. Only use this if you know what you're doing! cluster_synced_files: [] # Whether changes to directories in file_mounts or cluster_synced_files in the head node -# should sync to the worker node continuously +# should sync to the worker node continuously. file_mounts_sync_continuously: False -# Patterns for files to exclude when running rsync up or rsync down +# Patterns for files to exclude when running rsync up or rsync down. rsync_exclude: - "**/.git" - "**/.git/**" From 71f26827e5d58d691399b2abfab3987624eee4e8 Mon Sep 17 00:00:00 2001 From: Ziy Date: Sat, 12 Jul 2025 02:14:09 +0800 Subject: [PATCH 0159/1566] [Serve] Set the docs path after app is initialized on the replica (#53463) ## Why are these changes needed? - remove the `__fastapi_docs_path__` class attribute and set the `docs_path` when ASGI app builder funtion have been evaluated on the replica. ## Related issue number Closes https://github.com/ray-project/ray/issues/53023 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Ziy1-Tan Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 49 ++++--------------- python/ray/serve/_private/client.py | 3 -- python/ray/serve/_private/controller.py | 3 -- python/ray/serve/_private/deploy_utils.py | 4 -- python/ray/serve/_private/deployment_info.py | 3 -- python/ray/serve/_private/replica.py | 4 +- python/ray/serve/api.py | 5 -- python/ray/serve/deployment.py | 10 ---- .../tests/unit/test_application_state.py | 15 +++--- 9 files changed, 18 insertions(+), 78 deletions(-) diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index f9af04ef1085..41108f62edd4 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -238,7 +238,6 @@ def __init__( self._deployment_state_manager = deployment_state_manager self._endpoint_state = endpoint_state self._route_prefix: Optional[str] = None - self._docs_path: Optional[str] = None self._ingress_deployment_name: Optional[str] = None self._status: ApplicationStatus = ApplicationStatus.DEPLOYING @@ -264,14 +263,7 @@ def route_prefix(self) -> Optional[str]: @property def docs_path(self) -> Optional[str]: - # if the docs path is set during the deploy app task, use that - # TODO (abrar): this can be dropped completely in favor of the - # deployment state manager once we have migrated all the tests - # to the new API. - if self._docs_path is not None: - return self._docs_path - - # else get the docs path from the running deployments + # get the docs path from the running deployments # we are making an assumption that the docs path can only be set # on ingress deployments with fastapi. ingress_deployment = DeploymentID(self._ingress_deployment_name, self._name) @@ -332,9 +324,7 @@ def recover_target_state_from_checkpoint( # Restore route prefix and docs path from checkpointed deployments when # the imperatively started application is restarting with controller. if checkpoint_data.deployment_infos is not None: - self._route_prefix, self._docs_path = self._check_routes( - checkpoint_data.deployment_infos - ) + self._route_prefix = self._check_routes(checkpoint_data.deployment_infos) def _set_target_state( self, @@ -479,7 +469,7 @@ def deploy_app(self, deployment_infos: Dict[str, DeploymentInfo]): self._check_ingress_deployments(deployment_infos) # Check routes are unique in deployment infos - self._route_prefix, self._docs_path = self._check_routes(deployment_infos) + self._route_prefix = self._check_routes(deployment_infos) self._set_target_state( deployment_infos=deployment_infos, @@ -517,9 +507,7 @@ def apply_app_config( self._target_state.deployment_infos, config, ) - self._route_prefix, self._docs_path = self._check_routes( - overrided_infos - ) + self._route_prefix = self._check_routes(overrided_infos) self._set_target_state( # Code version doesn't change. code_version=self._target_state.code_version, @@ -703,7 +691,7 @@ def _reconcile_build_app_task(self) -> Tuple[Optional[Dict], BuildAppStatus, str overrided_infos = override_deployment_info( deployment_infos, self._build_app_task_info.config ) - self._route_prefix, self._docs_path = self._check_routes(overrided_infos) + self._route_prefix = self._check_routes(overrided_infos) return overrided_infos, BuildAppStatus.SUCCEEDED, "" except (TypeError, ValueError, RayServeException): return None, BuildAppStatus.FAILED, traceback.format_exc() @@ -739,33 +727,24 @@ def _check_ingress_deployments( def _check_routes( self, deployment_infos: Dict[str, DeploymentInfo] ) -> Tuple[str, str]: - """Check route prefixes and docs paths of deployments in app. + """Check route prefixes of deployments in app. There should only be one non-null route prefix. If there is one, set it as the application route prefix. This function must be run every control loop iteration because the target config could be updated without kicking off a new task. - Returns: tuple of route prefix, docs path. - Raises: RayServeException if more than one route prefix or docs - path is found among deployments. + Returns: route prefix. + Raises: RayServeException if more than one route prefix is found among deployments. """ num_route_prefixes = 0 - num_docs_paths = 0 route_prefix = None - # TODO(Ziy1-Tan): `docs_path` will be removed when - # https://github.com/ray-project/ray/issues/53023 is resolved. - # We can get it from DeploymentStateManager directly. - docs_path = None for info in deployment_infos.values(): # Update route prefix of application, which may be updated # through a redeployed config. if info.route_prefix is not None: route_prefix = info.route_prefix num_route_prefixes += 1 - if info.docs_path is not None: - docs_path = info.docs_path - num_docs_paths += 1 if num_route_prefixes > 1: raise RayServeException( @@ -773,17 +752,8 @@ def _check_routes( " Please specify only one route prefix for the application " "to avoid this issue." ) - # NOTE(zcin) This will not catch multiple FastAPI deployments in the application - # if user sets the docs path to None in their FastAPI app. - if num_docs_paths > 1: - raise RayServeException( - f'Found multiple deployments in application "{self._name}" that have ' - "a docs path. This may be due to using multiple FastAPI deployments " - "in your application. Please only include one deployment with a docs " - "path in your application to avoid this issue." - ) - return route_prefix, docs_path + return route_prefix def _reconcile_target_deployments(self) -> None: """Reconcile target deployments in application target state. @@ -1227,7 +1197,6 @@ def build_serve_application( deployment_config=deployment._deployment_config, version=code_version, route_prefix="/" if is_ingress else None, - docs_path=deployment._docs_path, ) ) if num_ingress_deployments > 1: diff --git a/python/ray/serve/_private/client.py b/python/ray/serve/_private/client.py index 0b69def0cf21..36fc48b24074 100644 --- a/python/ray/serve/_private/client.py +++ b/python/ray/serve/_private/client.py @@ -270,7 +270,6 @@ def deploy_applications( deployment_config=deployment._deployment_config, version=deployment._version or get_random_string(), route_prefix=app.route_prefix if is_ingress else None, - docs_path=deployment._docs_path, ) deployment_args_proto = DeploymentArgs() @@ -289,8 +288,6 @@ def deploy_applications( if deployment_args["route_prefix"]: deployment_args_proto.route_prefix = deployment_args["route_prefix"] deployment_args_proto.ingress = deployment_args["ingress"] - if deployment_args["docs_path"]: - deployment_args_proto.docs_path = deployment_args["docs_path"] deployment_args_list.append(deployment_args_proto.SerializeToString()) diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 4637e45461fe..3257d9b11a29 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -776,9 +776,6 @@ def deploy_applications( "route_prefix": ( args.route_prefix if args.HasField("route_prefix") else None ), - "docs_path": ( - args.docs_path if args.HasField("docs_path") else None - ), } ) name_to_deployment_args[name] = deployment_args_deserialized diff --git a/python/ray/serve/_private/deploy_utils.py b/python/ray/serve/_private/deploy_utils.py index 75a95a6b5ef1..a0dc0909b066 100644 --- a/python/ray/serve/_private/deploy_utils.py +++ b/python/ray/serve/_private/deploy_utils.py @@ -22,7 +22,6 @@ def get_deploy_args( deployment_config: Optional[Union[DeploymentConfig, Dict[str, Any]]] = None, version: Optional[str] = None, route_prefix: Optional[str] = None, - docs_path: Optional[str] = None, ) -> Dict: """ Takes a deployment's configuration, and returns the arguments needed @@ -44,7 +43,6 @@ def get_deploy_args( "replica_config_proto_bytes": replica_config.to_proto_bytes(), "route_prefix": route_prefix, "deployer_job_id": ray.get_runtime_context().get_job_id(), - "docs_path": docs_path, "ingress": ingress, } @@ -56,7 +54,6 @@ def deploy_args_to_deployment_info( deployment_config_proto_bytes: bytes, replica_config_proto_bytes: bytes, deployer_job_id: Union[str, bytes], - docs_path: Optional[str], app_name: Optional[str] = None, ingress: bool = False, route_prefix: Optional[str] = None, @@ -88,7 +85,6 @@ def deploy_args_to_deployment_info( deployer_job_id=deployer_job_id, start_time_ms=int(time.time() * 1000), route_prefix=route_prefix, - docs_path=docs_path, ingress=ingress, ) diff --git a/python/ray/serve/_private/deployment_info.py b/python/ray/serve/_private/deployment_info.py index 07b6a9094878..5413c7878aa0 100644 --- a/python/ray/serve/_private/deployment_info.py +++ b/python/ray/serve/_private/deployment_info.py @@ -20,7 +20,6 @@ def __init__( version: Optional[str] = None, end_time_ms: Optional[int] = None, route_prefix: str = None, - docs_path: str = None, ingress: bool = False, target_capacity: Optional[float] = None, target_capacity_direction: Optional[TargetCapacityDirection] = None, @@ -39,7 +38,6 @@ def __init__( self._cached_actor_def = None self.route_prefix = route_prefix - self.docs_path = docs_path self.ingress = ingress self.target_capacity = target_capacity @@ -70,7 +68,6 @@ def update( version=version or self.version, end_time_ms=self.end_time_ms, route_prefix=route_prefix or self.route_prefix, - docs_path=self.docs_path, ingress=self.ingress, target_capacity=self.target_capacity, target_capacity_direction=self.target_capacity_direction, diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 23e74f8c173f..4c47af5efb15 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -991,10 +991,12 @@ async def initialize_and_get_metadata( ) -> ReplicaMetadata: """Handles initializing the replica. - Returns: 3-tuple containing + Returns: 5-tuple containing 1. DeploymentConfig of the replica 2. DeploymentVersion of the replica 3. Initialization duration in seconds + 4. Port + 5. FastAPI `docs_path`, if relevant (i.e. this is an ingress deployment integrated with FastAPI). """ # Unused `_after` argument is for scheduling: passing an ObjectRef # allows delaying this call until after the `_after` call has returned. diff --git a/python/ray/serve/api.py b/python/ray/serve/api.py index 865d5cedbba1..8a852d6a1dc9 100644 --- a/python/ray/serve/api.py +++ b/python/ray/serve/api.py @@ -303,11 +303,6 @@ async def __del__(self): cls.__del__(self) ASGIIngressWrapper.__name__ = cls.__name__ - if hasattr(frozen_app_or_func, "docs_url"): - # TODO (abrar): fastapi apps instantiated by builder function will set - # the docs path on application state via the replica. - # This split in logic is not desirable, we should consolidate the two. - ASGIIngressWrapper.__fastapi_docs_path__ = frozen_app_or_func.docs_url return ASGIIngressWrapper diff --git a/python/ray/serve/deployment.py b/python/ray/serve/deployment.py index 5487ad4d0afc..c02e685ecdbc 100644 --- a/python/ray/serve/deployment.py +++ b/python/ray/serve/deployment.py @@ -1,4 +1,3 @@ -import inspect import logging import warnings from copy import deepcopy @@ -106,20 +105,11 @@ def __init__( self._validate_name(name) if not (version is None or isinstance(version, str)): raise TypeError("version must be a string.") - docs_path = None - if ( - inspect.isclass(replica_config.deployment_def) - and hasattr(replica_config.deployment_def, "__module__") - and replica_config.deployment_def.__module__ == "ray.serve.api" - and hasattr(replica_config.deployment_def, "__fastapi_docs_path__") - ): - docs_path = replica_config.deployment_def.__fastapi_docs_path__ self._name = name self._version = version self._deployment_config = deployment_config self._replica_config = replica_config - self._docs_path = docs_path def _validate_name(self, name: str): if not isinstance(name, str): diff --git a/python/ray/serve/tests/unit/test_application_state.py b/python/ray/serve/tests/unit/test_application_state.py index 22439882b9fa..1147e3c04f23 100644 --- a/python/ray/serve/tests/unit/test_application_state.py +++ b/python/ray/serve/tests/unit/test_application_state.py @@ -167,7 +167,7 @@ def mocked_application_state_manager() -> ( yield application_state_manager, deployment_state_manager, kv_store -def deployment_params(name: str, route_prefix: str = None, docs_path: str = None): +def deployment_params(name: str, route_prefix: str = None): return { "deployment_name": name, "deployment_config_proto_bytes": DeploymentConfig( @@ -178,13 +178,12 @@ def deployment_params(name: str, route_prefix: str = None, docs_path: str = None ).to_proto_bytes(), "deployer_job_id": "random", "route_prefix": route_prefix, - "docs_path": docs_path, "ingress": False, } -def deployment_info(name: str, route_prefix: str = None, docs_path: str = None): - params = deployment_params(name, route_prefix, docs_path) +def deployment_info(name: str, route_prefix: str = None): + params = deployment_params(name, route_prefix) return deploy_args_to_deployment_info(**params, app_name="test_app") @@ -512,12 +511,11 @@ def test_deploy_and_delete_app(mocked_application_state): d2_id = DeploymentID(name="d2", app_name="test_app") app_state.deploy_app( { - "d1": deployment_info("d1", "/hi", "/documentation"), + "d1": deployment_info("d1", "/hi"), "d2": deployment_info("d2"), } ) assert app_state.route_prefix == "/hi" - assert app_state.docs_path == "/documentation" app_status = app_state.get_application_status_info() assert app_status.status == ApplicationStatus.DEPLOYING @@ -677,7 +675,7 @@ def test_app_unhealthy(mocked_application_state): @patch("ray.serve._private.application_state.build_serve_application", Mock()) -@patch("ray.get", Mock(return_value=([deployment_params("a", "/old", "/docs")], None))) +@patch("ray.get", Mock(return_value=([deployment_params("a", "/old")], None))) @patch("ray.serve._private.application_state.check_obj_ref_ready_nowait") def test_apply_app_configs_succeed(check_obj_ref_ready_nowait): """Test deploying through config successfully. @@ -715,7 +713,6 @@ def test_apply_app_configs_succeed(check_obj_ref_ready_nowait): assert app_state.status == ApplicationStatus.DEPLOYING assert app_state.target_deployments == ["a"] assert app_state.route_prefix == "/new" - assert app_state.docs_path == "/docs" # Set healthy deployment_state_manager.set_deployment_healthy(deployment_id) @@ -768,7 +765,7 @@ def test_apply_app_configs_fail(check_obj_ref_ready_nowait): Mock(return_value="123"), ) @patch("ray.serve._private.application_state.build_serve_application", Mock()) -@patch("ray.get", Mock(return_value=([deployment_params("a", "/old", "/docs")], None))) +@patch("ray.get", Mock(return_value=([deployment_params("a", "/old")], None))) @patch("ray.serve._private.application_state.check_obj_ref_ready_nowait") def test_apply_app_configs_deletes_existing(check_obj_ref_ready_nowait): """Test that apply_app_configs deletes existing apps that aren't in the new list. From 2f4087f018c332ed612aa8912d30fb9d94dd40f3 Mon Sep 17 00:00:00 2001 From: Rueian Date: Fri, 11 Jul 2025 12:05:17 -0700 Subject: [PATCH 0160/1566] [core] enable the v2 autoscaler by default when the cluster is managed by KubeRay (#54518) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/scripts/scripts.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 024ddfd15828..76bf5958d9b1 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -37,6 +37,7 @@ ) from ray._private.internal_api import memory_summary from ray._private.usage import usage_lib +import ray._private.usage.usage_constants as usage_constant from ray.autoscaler._private.cli_logger import add_click_logging_options, cf, cli_logger from ray.autoscaler._private.commands import ( RUN_ENV_TYPES, @@ -854,6 +855,16 @@ def start( "RAY_OVERRIDE_NODE_ID_FOR_TESTING": FAKE_HEAD_NODE_ID } + if ( + no_monitor # KubeRay sets this flag when autoscaler is enabled. + and usage_constant.KUBERAY_ENV in os.environ # KubeRay exclusive. + and "RAY_CLOUD_INSTANCE_ID" in os.environ # required by autoscaler v2. + and "RAY_NODE_TYPE_NAME" in os.environ # required by autoscaler v2. + ): + # If this Ray cluster is managed by KubeRay and RAY_CLOUD_INSTANCE_ID and RAY_NODE_TYPE_NAME are set, + # we enable the v2 autoscaler by default if RAY_enable_autoscaler_v2 is not set. + os.environ.setdefault("RAY_enable_autoscaler_v2", "1") + num_redis_shards = None # Start Ray on the head node. if redis_shard_ports is not None and address is None: From e792928f61cc0b396038c9542635bc3333b91de9 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 11 Jul 2025 14:32:58 -0500 Subject: [PATCH 0161/1566] [core] Default state API address when in a connected worker (#54468) When looking at a [flaky test](https://buildkite.com/ray-project/postmerge-macos/builds/6602#0197ec82-caa1-4238-be76-9dd3400b9eb2/2304-3913), I realized that the state API will raise an error if there are multiple local Ray instances and no address is provided. If the driver is connected to one of the instances, we should default to it instead. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/dashboard/utils.py | 7 +++++ python/ray/tests/test_state_api.py | 44 +++++++++++++++++++++++++----- 2 files changed, 44 insertions(+), 7 deletions(-) diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index b0bf438d1a49..1a0a897ee66f 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -668,8 +668,15 @@ def ray_address_to_api_server_url(address: Optional[str]) -> str: Returns: API server HTTP URL. """ + # Prefer to connect to the same Ray instance that this worker is connected to + # by default. + if address is None or address == "auto": + worker = ray._private.worker.global_worker + if worker.connected: + address = worker.node.address_info["address"] address = services.canonicalize_bootstrap_address_or_die(address) + gcs_client = GcsClient(address=address) ray.experimental.internal_kv._initialize_internal_kv(gcs_client) diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 2557eced5adb..92c53e28d920 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -3,26 +3,27 @@ import json import sys import signal +import yaml from collections import Counter from concurrent.futures import ThreadPoolExecutor from typing import List from unittest.mock import MagicMock, AsyncMock, patch -import yaml from click.testing import CliRunner import pytest import pytest_asyncio + +import ray from ray._private.state_api_test_utils import ( get_state_api_manager, create_api_options, verify_schema, ) -from ray.util.state import get_job from ray.dashboard.modules.job.pydantic_models import JobDetails +from ray.util.state import get_job from ray.util.state.common import Humanify - from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy -import ray +from ray.cluster_utils import Cluster import ray.dashboard.consts as dashboard_consts import ray._private.state as global_state import ray._private.ray_constants as ray_constants @@ -2964,11 +2965,11 @@ def f(): a = [f.remote() for _ in range(4)] # noqa wait_for_condition(lambda: len(list_tasks()) == 4) - # Kill raylet so that list_tasks will have network error on querying raylets. + # Kill raylet so that list_objects will have a network error on querying raylets. ray._private.worker._global_node.kill_raylet() - with pytest.raises(ConnectionError): - list_tasks(_explain=True) + with pytest.raises(RayStateApiException, match="unexpected network issue"): + list_objects() def test_network_partial_failures(monkeypatch, ray_start_cluster): @@ -3800,5 +3801,34 @@ def test_hang_driver_has_no_is_running_task(monkeypatch, ray_start_cluster): assert not all_job_info[my_job_id].HasField("is_running_tasks") +def test_address_defaults_to_connected_ray_instance(shutdown_only): + """ + If there are multiple local instances and a state API is invoked from within a + connected worker, the address should default to the connected instance. + """ + cluster_1 = Cluster() + cluster_1_dashboard_port = find_free_port() + cluster_1.add_node(dashboard_port=cluster_1_dashboard_port) + + cluster_2 = Cluster() + cluster_2_dashboard_port = find_free_port() + cluster_2.add_node(dashboard_port=cluster_2_dashboard_port) + + # Connect the driver to cluster_1. + ray.init(cluster_1.address) + + # Call list_jobs() with no address and "auto", both should connect to cluster_1. + [job] = list_jobs() + assert job.job_id == ray.get_runtime_context().get_job_id() + [job] = list_jobs(address="auto") + assert job.job_id == ray.get_runtime_context().get_job_id() + + # Sanity checks: call list_jobs() with cluster_1 and cluster_2 addresses specified. + cluster_1_jobs = list_jobs(address=f"http://localhost:{cluster_1_dashboard_port}") + assert cluster_1_jobs == [job] + cluster_2_jobs = list_jobs(address=f"http://localhost:{cluster_2_dashboard_port}") + assert len(cluster_2_jobs) == 0 + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From 7690f263ae079f5c965e57d4ba78f7ac26a45bcb Mon Sep 17 00:00:00 2001 From: Mark Molinaro <16494982+markjm@users.noreply.github.com> Date: Fri, 11 Jul 2025 13:51:15 -0700 Subject: [PATCH 0162/1566] [wheel] limit build artifacts duplicated in example directory for ray_cpp (#54465) ## Why are these changes needed? Currently, the built wheels include the `ray/cpp/example/`, which includes a total copy of the `lib` and `include` directories (because they are copied here in `//cpp:ray_cpp_pkg`. This just about doubles the size of the wheels being distributed right now (~35MB for `include` and ~35MB for `lib`) This change modified the `//cpp:ray_cpp_pkg` target to not copy the `lib` and `include` directories into the `example/thirdparty` directory. This example dir is used to generate an example bazel project with `ray cpp --generate-bazel-project-template-to /tmp/ray`. However, the script already finds the "real" `include`/`lib` directories and copies those in at execution time (just deleting the ones we package in anwyway). You can see this happen [here](https://github.com/ray-project/ray/blob/2d1ca70e9507480eac37b65796ae0da1dffc5084/python/ray/scripts/scripts.py#L2621). ## Related issue number none, but can create if preferred ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ N/A ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy Run any build as per the docs ``` docker run -ti --rm -e BUILDKITE_COMMIT="$(git rev-parse HEAD)" -e BUILD_ONE_PYTHON_ONLY=py311 -w /ray -v "$(pwd)":/ray quay.io/pypa/manylinux2014_x86_64:2024-07-02-9ac04ee /ray/python/build-wheel-manylinux2014.sh ``` install the wheel, and see `/ray/cpp` has `include` and `lib`, and `example`, but no `example/thirdparty/{include,lib}` then running `ray cpp --generate-bazel-project-template-to /tmp/ray` to see `thirdparty/{include,lib}` was still available there. ``` $ docker run -it --rm -w /ray -v "$(pwd)":/ray python:3.9.23-bookworm /bin/bash ... root@fb2a260f25a6:/ray# pip install ./.whl/ray* Processing ./.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl Processing ./.whl/ray_cpp-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl ... root@fb2a260f25a6:/ray# ray cpp --generate-bazel-project-template-to /tmp/ray Project template generated to /tmp/ray To build and run this template, run cd /tmp/ray && bash run.sh root@fb2a260f25a6:/ray# ls -al /tmp/ray/thirdparty/ total 16 drwxr-xr-x 4 root root 4096 Jul 11 19:52 . drwxr-xr-x 3 root root 4096 Jul 11 19:52 .. drwxr-xr-x 6 root root 4096 Jul 11 19:52 include drwxr-xr-x 2 root root 4096 Jul 11 19:52 lib root@fb2a260f25a6:/ray# ls -al /tmp/ray/thirdparty/lib total 36496 drwxr-xr-x 2 root root 4096 Jul 11 19:52 . drwxr-xr-x 4 root root 4096 Jul 11 19:52 .. -rwxr-xr-x 1 root root 37363304 Jul 11 19:52 libray_api.so root@fb2a260f25a6:/ray# ls -al /tmp/ray/thirdparty/include/ total 32 drwxr-xr-x 6 root root 4096 Jul 11 19:52 . drwxr-xr-x 4 root root 4096 Jul 11 19:52 .. drwxr-xr-x 27 root root 4096 Jul 11 19:52 boost drwxr-xr-x 8 root root 4096 Jul 11 19:52 msgpack -rw-r--r-- 1 root root 526 Jul 11 19:52 msgpack.h -rw-r--r-- 1 root root 648 Jul 11 19:52 msgpack.hpp drwxr-xr-x 2 root root 4096 Jul 11 19:52 nlohmann drwxr-xr-x 3 root root 4096 Jul 11 19:52 ray ``` Signed-off-by: Mark Molinaro <16494982+markjm@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- cpp/BUILD.bazel | 5 ----- 1 file changed, 5 deletions(-) diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 78d3ece98465..6e43d955a8f7 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -164,11 +164,6 @@ genrule( cp -f -r $$WORK_DIR/external/boost/boost/*.hpp "$$BOOST_DIR" && cp -f $(locations libray_api.so) "$$PY_CPP_DIR/lib/" && cp -f -r "$$WORK_DIR/cpp/include/ray" "$$PY_CPP_DIR/include" && - THIRDPARTY_DIR="$$WORK_DIR/cpp/example/thirdparty" && - rm -rf $$THIRDPARTY_DIR && - mkdir $$THIRDPARTY_DIR && - cp -f -r "$$PY_CPP_DIR/include" $$THIRDPARTY_DIR && - cp -f -r "$$PY_CPP_DIR/lib" $$THIRDPARTY_DIR && cp -f -r "$$WORK_DIR/cpp/example" "$$PY_CPP_DIR" && echo "$$WORK_DIR" > $@ """, From 4c15f6cde09835d86b31eb74164d19fefaabd70b Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Fri, 11 Jul 2025 14:17:25 -0700 Subject: [PATCH 0163/1566] [core][gpu-objects] Garbage collection (#53911) * Add a callback to send a RPC `FreeActorObject` to the sender actor to remove the GPU object when the GPU object is out-of-scope. * Avoid updating the reference count immediately when GPU object references are inlined. Without this change, the following sequence may occur for small objects: * (1) The sender actor stores tensors in the GPUObjectManager. * (2) The reference count is decremented when the argument is passed to the destination actor task, and the driver sends an RPC FreeActorObject to the sender actor. * (3) The driver submits `__ray_send__` to the sender actor, but by then, the tensors have already been removed. * Instead, we update the reference count when the task finishes. ## Related issue number Closes #51262 Closes #51273 --------- Signed-off-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 2 - python/ray/_raylet.pyx | 7 ++ .../gpu_object_manager/gpu_object_manager.py | 4 - .../gpu_object_manager/gpu_object_store.py | 8 -- python/ray/includes/libcoreworker.pxd | 1 + python/ray/tests/test_gpu_objects_gloo.py | 99 +++++++++++++++++-- src/ray/core_worker/core_worker.cc | 16 ++- src/ray/core_worker/core_worker.h | 6 ++ src/ray/core_worker/core_worker_options.h | 3 + src/ray/core_worker/reference_count.h | 2 + src/ray/core_worker/task_manager.cc | 66 ++++++++++--- src/ray/core_worker/task_manager.h | 35 +++++-- .../test/dependency_resolver_test.cc | 5 +- src/ray/core_worker/test/task_manager_test.cc | 77 ++++++++++++++- .../transport/dependency_resolver.cc | 7 +- src/ray/protobuf/core_worker.proto | 9 ++ src/ray/rpc/worker/core_worker_client.h | 9 ++ src/ray/rpc/worker/core_worker_server.h | 6 +- 18 files changed, 309 insertions(+), 53 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index c59b55bf970a..41164f66cee5 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -292,8 +292,6 @@ def _deserialize_pickle5_data( gpu_object_manager.fetch_gpu_object(object_id) tensors = gpu_object_manager.gpu_object_store.get_gpu_object(object_id) ctx.reset_out_of_band_tensors(tensors) - # TODO(kevin85421): The current garbage collection implementation for the in-actor object store - # is naive. We garbage collect each object after it is consumed once. gpu_object_manager.gpu_object_store.remove_gpu_object(object_id) try: diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f83385320ec1..1633fbf4eef5 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2287,6 +2287,12 @@ cdef execute_task_with_cancellation_handler( f"Exited because worker reached max_calls={execution_info.max_calls}" " for this method.") +cdef void free_actor_object_callback(const CObjectID &c_object_id) nogil: + with gil: + object_id = c_object_id.Hex().decode() + gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager + gpu_object_manager.gpu_object_store.remove_gpu_object(object_id) + cdef shared_ptr[LocalMemoryBuffer] ray_error_to_memory_buf(ray_error): cdef bytes py_bytes = ray_error.to_bytes() return make_shared[LocalMemoryBuffer]( @@ -2998,6 +3004,7 @@ cdef class CoreWorker: options.driver_name = driver_name options.initialize_thread_callback = initialize_pygilstate_for_thread options.task_execution_callback = task_execution_handler + options.free_actor_object_callback = free_actor_object_callback options.check_signals = check_signals options.gc_collect = gc_collect options.spill_objects = spill_objects_handler diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index a46c303faedd..9962d22f4976 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -44,10 +44,6 @@ def __ray_fetch_gpu_object__(self, obj_id: str): obj_id ), f"obj_id={obj_id} not found in GPU object store" tensors = gpu_object_store.get_gpu_object(obj_id) - # TODO(kevin85421): The current garbage collection implementation for the - # in-actor object store is naive. We garbage collect each object after it - # is consumed once. - gpu_object_store.remove_gpu_object(obj_id) return tensors diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 54aa7a56ab49..e6dc6d867681 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -56,10 +56,6 @@ def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): f"tensor device {tensor.device} does not match device {device}" ) collective.send(tensor, dst_rank, group_name=communicator_name) - # TODO(kevin85421): The current garbage collection implementation for the - # in-actor object store is naive. We garbage collect each object after it - # is consumed once. - gpu_object_store.remove_gpu_object(obj_id) def __ray_recv__( @@ -94,10 +90,6 @@ def __ray_fetch_gpu_object__(self, obj_id: str): obj_id ), f"obj_id={obj_id} not found in GPU object store" tensors = gpu_object_store.get_gpu_object(obj_id) - # TODO(kevin85421): The current garbage collection implementation for the - # in-actor object store is naive. We garbage collect each object after it - # is consumed once. - gpu_object_store.remove_gpu_object(obj_id) return tensors diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index fd90851311a3..b485abff9074 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -406,6 +406,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int64_t generator_backpressure_num_objects, CTensorTransport tensor_transport ) nogil) task_execution_callback + (void(const CObjectID &) nogil) free_actor_object_callback (function[void()]() nogil) initialize_thread_callback (CRayStatus() nogil) check_signals (void(c_bool) nogil) gc_collect diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index f134b6c15f3f..b7c742117271 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -5,6 +5,7 @@ import ray from ray.experimental.collective import create_collective_group from ray._private.custom_types import TensorTransportEnum +from ray._common.test_utils import wait_for_condition # tensordict is not supported on macos ci, so we skip the tests support_tensordict = sys.platform != "darwin" @@ -32,10 +33,97 @@ def get_gpu_object(self, obj_id: str): ) if gpu_object_store.has_gpu_object(obj_id): gpu_object = gpu_object_store.get_gpu_object(obj_id) - print(f"gpu_object: {gpu_object}") return gpu_object return None + def get_num_gpu_objects(self): + gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager + return len(gpu_object_manager.gpu_object_store.gpu_object_store) + + +@pytest.mark.parametrize("data_size_bytes", [100]) +def test_gc_gpu_object(ray_start_regular, data_size_bytes): + """ + For small data, GPU objects are inlined, but the actual data lives + on the remote actor. Therefore, if we decrement the reference count + upon inlining, we may cause the tensors on the sender actor to be + freed before transferring to the receiver actor. + + # TODO(kevin85421): Add a test for large CPU data that is not inlined + # after https://github.com/ray-project/ray/issues/54281 is fixed. + """ + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + small_tensor = torch.randn((1,)) + cpu_data = b"1" * data_size_bytes + data = [small_tensor, cpu_data] + sender = actors[0] + receiver = actors[1] + + ref1 = sender.echo.remote(data) + ref2 = receiver.double.remote(ref1) + ref3 = receiver.double.remote(ref1) + + result = ray.get(ref2) + assert result[0] == pytest.approx(small_tensor * 2) + assert result[1] == cpu_data * 2 + result = ray.get(ref3) + assert result[0] == pytest.approx(small_tensor * 2) + assert result[1] == cpu_data * 2 + + wait_for_condition( + lambda: ray.get(receiver.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + del ref1 + + wait_for_condition( + lambda: ray.get(sender.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + +@pytest.mark.parametrize("data_size_bytes", [100]) +def test_gc_del_ref_before_recv_finish(ray_start_regular, data_size_bytes): + """ + This test deletes the ObjectRef of the GPU object before calling + `ray.get` to ensure the receiver finishes receiving the GPU object. + """ + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + small_tensor = torch.randn((1,)) + cpu_data = b"1" * data_size_bytes + data = [small_tensor, cpu_data] + sender = actors[0] + receiver = actors[1] + + ref1 = sender.echo.remote(data) + ref2 = receiver.double.remote(ref1) + + del ref1 + + result = ray.get(ref2) + assert result[0] == pytest.approx(small_tensor * 2) + assert result[1] == cpu_data * 2 + + wait_for_condition( + lambda: ray.get(receiver.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + wait_for_condition( + lambda: ray.get(sender.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + def test_p2p(ray_start_regular): world_size = 2 @@ -149,9 +237,10 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): tensor = torch.tensor([1, 2, 3]) gpu_ref = src_actor.echo.remote(tensor) + gpu_obj_id = gpu_ref.hex() # Check src_actor has the GPU object - ret_val_src = ray.get(src_actor.get_gpu_object.remote(gpu_ref.hex())) + ret_val_src = ray.get(src_actor.get_gpu_object.remote(gpu_obj_id)) assert ret_val_src is not None assert len(ret_val_src) == 1 assert torch.equal(ret_val_src[0], tensor) @@ -160,15 +249,11 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): gpu_object_manager.add_gpu_object_ref(gpu_ref, src_actor, TensorTransportEnum.GLOO) # Trigger out-of-band tensor transfer from src_actor to dst_actor. - # The GPU object will be removed from src_actor's GPU object store - # because the current GC implementation garbage collects GPU objects - # whenever they are consumed once. task_args = (gpu_ref,) gpu_object_manager.trigger_out_of_band_tensor_transfer(dst_actor, task_args) - assert ray.get(src_actor.get_gpu_object.remote(gpu_ref.hex())) is None # Check dst_actor has the GPU object - ret_val_dst = ray.get(dst_actor.get_gpu_object.remote(gpu_ref.hex())) + ret_val_dst = ray.get(dst_actor.get_gpu_object.remote(gpu_obj_id)) assert ret_val_dst is not None assert len(ret_val_dst) == 1 assert torch.equal(ret_val_dst[0], tensor) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 783eb88064f4..522b81d2bfb5 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -734,7 +734,13 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) }, push_error_callback, RayConfig::instance().max_lineage_bytes(), - *task_event_buffer_); + *task_event_buffer_, + /*get_actor_rpc_client_callback=*/ + [this](const ActorID &actor_id) { + auto addr = actor_task_submitter_->GetActorAddress(actor_id); + RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; + return core_worker_client_pool_->GetOrConnect(addr.value()); + }); // Create an entry for the driver task in the task table. This task is // added immediately with status RUNNING. This allows us to push errors @@ -4952,6 +4958,14 @@ void CoreWorker::HandlePlasmaObjectReady(rpc::PlasmaObjectReadyRequest request, send_reply_callback(Status::OK(), nullptr, nullptr); } +void CoreWorker::HandleFreeActorObject(rpc::FreeActorObjectRequest request, + rpc::FreeActorObjectReply *reply, + rpc::SendReplyCallback send_reply_callback) { + ObjectID object_id = ObjectID::FromBinary(request.object_id()); + options_.free_actor_object_callback(object_id); + send_reply_callback(Status::OK(), nullptr, nullptr); +} + void CoreWorker::SetActorId(const ActorID &actor_id) { absl::MutexLock lock(&mutex_); if (!options_.is_local_mode) { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index dbda41049df4..398e1dc3cfbe 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1268,6 +1268,12 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { void HandleNumPendingTasks(rpc::NumPendingTasksRequest request, rpc::NumPendingTasksReply *reply, rpc::SendReplyCallback send_reply_callback) override; + + // Free GPU objects from the in-actor GPU object store. + void HandleFreeActorObject(rpc::FreeActorObjectRequest request, + rpc::FreeActorObjectReply *reply, + rpc::SendReplyCallback send_reply_callback) override; + /// /// Public methods related to async actor call. This should only be used when /// the actor is (1) direct actor and (2) using async mode. diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 20bb7f485c2a..6cfd2978398e 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -87,6 +87,7 @@ struct CoreWorkerOptions { raylet_ip_address(""), driver_name(""), task_execution_callback(nullptr), + free_actor_object_callback(nullptr), check_signals(nullptr), initialize_thread_callback(nullptr), gc_collect(nullptr), @@ -146,6 +147,8 @@ struct CoreWorkerOptions { std::string driver_name; /// Application-language worker callback to execute tasks. TaskExecutionCallback task_execution_callback; + /// Callback to free GPU object from the in-actor object store. + std::function free_actor_object_callback; /// Application-language callback to check for signals that have been received /// since calling into C++. This will be called periodically (at least every /// 1s) during long-running operations. If the function returns anything but StatusOK, diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index 68352ed5b85e..69a216185766 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -771,6 +771,8 @@ class ReferenceCounter : public ReferenceCounterInterface, /// counting is enabled, then some raylet must be pinning the object value. /// This is the address of that raylet. std::optional pinned_at_raylet_id; + /// TODO(kevin85421): Make tensor_transport a required field for all constructors. + /// /// The transport used for the object. rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE; /// Whether we own the object. If we own the object, then we are diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 62f228d2ec4a..ee2288ce0ff8 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -272,9 +272,33 @@ std::vector TaskManager::AddPendingTask( return_ids.push_back(return_id); rpc::ObjectReference ref; - ref.set_object_id(spec.ReturnId(i).Binary()); + auto object_id = spec.ReturnId(i); + ref.set_object_id(object_id.Binary()); ref.mutable_owner_address()->CopyFrom(caller_address); ref.set_call_site(call_site); + + // Register the callback to free the GPU object when it is out of scope. + auto tensor_transport = reference_counter_.GetTensorTransport(object_id); + if (tensor_transport.value_or(rpc::TensorTransport::OBJECT_STORE) != + rpc::TensorTransport::OBJECT_STORE) { + reference_counter_.AddObjectOutOfScopeOrFreedCallback( + object_id, [this](const ObjectID &object_id) { + auto actor_id = ObjectID::ToActorID(object_id); + auto rpc_client = get_actor_rpc_client_callback_(actor_id); + auto request = rpc::FreeActorObjectRequest(); + request.set_object_id(object_id.Binary()); + rpc_client->FreeActorObject( + request, + [object_id, actor_id](Status status, + const rpc::FreeActorObjectReply &reply) { + if (!status.ok()) { + RAY_LOG(ERROR).WithField(object_id).WithField(actor_id) + << "Failed to free actor object: " << status; + } + }); + }); + } + returned_refs.push_back(std::move(ref)); } @@ -1254,21 +1278,7 @@ void TaskManager::RemoveFinishedTaskReferences( bool release_lineage, const rpc::Address &borrower_addr, const ReferenceCounter::ReferenceTableProto &borrowed_refs) { - std::vector plasma_dependencies; - for (size_t i = 0; i < spec.NumArgs(); i++) { - if (spec.ArgByRef(i)) { - plasma_dependencies.push_back(spec.ArgObjectId(i)); - } else { - const auto &inlined_refs = spec.ArgInlinedRefs(i); - for (const auto &inlined_ref : inlined_refs) { - plasma_dependencies.push_back(ObjectID::FromBinary(inlined_ref.object_id())); - } - } - } - if (spec.IsActorTask()) { - const auto actor_creation_return_id = spec.ActorCreationDummyObjectId(); - plasma_dependencies.push_back(actor_creation_return_id); - } + std::vector plasma_dependencies = ExtractPlasmaDependencies(spec); std::vector return_ids; size_t num_returns = spec.NumReturns(); @@ -1637,5 +1647,29 @@ ObjectID TaskManager::TaskGeneratorId(const TaskID &task_id) const { return it->second.spec.ReturnId(0); } +std::vector ExtractPlasmaDependencies(const TaskSpecification &spec) { + std::vector plasma_dependencies; + for (size_t i = 0; i < spec.NumArgs(); i++) { + if (spec.ArgByRef(i)) { + plasma_dependencies.push_back(spec.ArgObjectId(i)); + } else if (spec.ArgTensorTransport(i) != rpc::TensorTransport::OBJECT_STORE) { + // GPU objects are inlined but the actual data lives on the remote actor. + // Therefore, we apply the reference counting protocol used for plasma objects + // instead of decrementing the ref count upon inlining. + plasma_dependencies.push_back(spec.ArgObjectId(i)); + } else { + const auto &inlined_refs = spec.ArgInlinedRefs(i); + for (const auto &inlined_ref : inlined_refs) { + plasma_dependencies.push_back(ObjectID::FromBinary(inlined_ref.object_id())); + } + } + } + if (spec.IsActorTask()) { + const auto actor_creation_return_id = spec.ActorCreationDummyObjectId(); + plasma_dependencies.push_back(actor_creation_return_id); + } + return plasma_dependencies; +} + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 78d5e3ec2425..54503b3f53a3 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -167,14 +167,17 @@ class ObjectRefStream { class TaskManager : public TaskManagerInterface { public: - TaskManager(CoreWorkerMemoryStore &in_memory_store, - ReferenceCounter &reference_counter, - PutInLocalPlasmaCallback put_in_local_plasma_callback, - RetryTaskCallback retry_task_callback, - std::function queue_generator_resubmit, - PushErrorCallback push_error_callback, - int64_t max_lineage_bytes, - worker::TaskEventBuffer &task_event_buffer) + TaskManager( + CoreWorkerMemoryStore &in_memory_store, + ReferenceCounter &reference_counter, + PutInLocalPlasmaCallback put_in_local_plasma_callback, + RetryTaskCallback retry_task_callback, + std::function queue_generator_resubmit, + PushErrorCallback push_error_callback, + int64_t max_lineage_bytes, + worker::TaskEventBuffer &task_event_buffer, + std::function(const ActorID &)> + client_factory) : in_memory_store_(in_memory_store), reference_counter_(reference_counter), put_in_local_plasma_callback_(std::move(put_in_local_plasma_callback)), @@ -182,7 +185,8 @@ class TaskManager : public TaskManagerInterface { queue_generator_resubmit_(std::move(queue_generator_resubmit)), push_error_callback_(std::move(push_error_callback)), max_lineage_bytes_(max_lineage_bytes), - task_event_buffer_(task_event_buffer) { + task_event_buffer_(task_event_buffer), + get_actor_rpc_client_callback_(std::move(client_factory)) { task_counter_.SetOnChangeCallback( [this](const std::tuple &key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(&mu_) { @@ -773,8 +777,21 @@ class TaskManager : public TaskManagerInterface { /// error). worker::TaskEventBuffer &task_event_buffer_; + /// Callback to get the actor RPC client. + std::function( + const ActorID &actor_id)> + get_actor_rpc_client_callback_; + friend class TaskManagerTest; }; +/// Extract plasma dependencies from a task specification. +/// This includes arguments passed by reference, inlined GPU objects, +/// inlined references, and actor creation dummy object IDs. +/// +/// \param[in] spec The task specification to extract dependencies from. +/// \return Vector of ObjectIDs representing plasma dependencies. +std::vector ExtractPlasmaDependencies(const TaskSpecification &spec); + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index da9f88f37932..1f9194c384d4 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -537,7 +537,10 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { ASSERT_TRUE(task.GetMutableMessage().args(1).is_inlined()); ASSERT_FALSE(task.GetMutableMessage().args(1).has_object_ref()); - ASSERT_EQ(task_manager->num_inlined_dependencies, 2); + // The first argument is inlined but will not be passed into + // `OnTaskDependenciesInlined` because it is a GPU object reference. + // Please see https://github.com/ray-project/ray/pull/53911 for more details. + ASSERT_EQ(task_manager->num_inlined_dependencies, 1); ASSERT_EQ(resolver.NumPendingTasks(), 0); } diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 36ecdf07951e..8093eff9257d 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -39,7 +39,8 @@ TaskSpecification CreateTaskHelper(uint64_t num_returns, std::vector dependencies, bool dynamic_returns = false, bool streaming_generator = false, - int64_t generator_backpressure_num_objects = -1) { + int64_t generator_backpressure_num_objects = -1, + bool enable_tensor_transport = false) { TaskSpecification task; task.GetMutableMessage().set_task_id(TaskID::FromRandom(JobID::FromInt(1)).Binary()); task.GetMutableMessage().set_num_returns(num_returns); @@ -57,6 +58,14 @@ TaskSpecification CreateTaskHelper(uint64_t num_returns, generator_backpressure_num_objects); } + auto tensor_transport = rpc::TensorTransport::OBJECT_STORE; + if (enable_tensor_transport) { + // Currently, only actors support transferring tensors out-of-band. + task.GetMutableMessage().set_type(TaskType::ACTOR_TASK); + tensor_transport = rpc::TensorTransport::NCCL; + } + task.GetMutableMessage().set_tensor_transport(tensor_transport); + return task; } @@ -151,7 +160,11 @@ class TaskManagerTest : public ::testing::Test { const std::string &error_message, double timestamp) { return Status::OK(); }, max_lineage_bytes, - *task_event_buffer_mock_.get()) {} + *task_event_buffer_mock_.get(), + [](const ActorID &actor_id) + -> std::shared_ptr { + return nullptr; + }) {} virtual void TearDown() { AssertNoLeaks(); } @@ -2542,6 +2555,66 @@ TEST_F(TaskManagerLineageTest, RecoverIntermediateObjectInStreamingGenerator) { CompletePendingStreamingTask(spec2, caller_address, 0); } +TEST_F(TaskManagerTest, TestGPUObjectTaskSuccess) { + rpc::Address caller_address; + auto spec = CreateTaskHelper(/*num_returns*/ 1, + {}, + /*dynamic_returns=*/false, + /*streaming_generator=*/false, + /*generator_backpressure_num_objects*/ -1, + /*enable_tensor_transport=*/true); + + // Pass a GPU ObjectRef as an argument. + ObjectID gpu_obj_ref = ObjectID::FromRandom(); + auto *arg = spec.GetMutableMessage().add_args(); + arg->set_is_inlined(false); + arg->set_tensor_transport(rpc::TensorTransport::NCCL); + arg->mutable_object_ref()->set_object_id(gpu_obj_ref.Binary()); + + // `gpu_obj_ref` should have a local reference when the sender actor + // generates the ObjectRef. + reference_counter_->AddLocalReference(gpu_obj_ref, ""); + + // Call AddPendingTask to add the task to the task manager. + auto object_refs = manager_.AddPendingTask(caller_address, spec, ""); + ASSERT_EQ(object_refs.size(), 1); + ASSERT_EQ(manager_.NumSubmissibleTasks(), 1); + ASSERT_EQ(manager_.NumPendingTasks(), 1); + ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); + + // GPU object, the return object and the actor creation dummy object are in + // scope. + auto return_id = spec.ReturnId(0); + ASSERT_EQ(reference_counter_->NumObjectIDsInScope(), 3); + ASSERT_TRUE(reference_counter_->IsObjectPendingCreation(return_id)); + + manager_.MarkDependenciesResolved(spec.TaskId()); + ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); + ASSERT_FALSE(manager_.IsTaskWaitingForExecution(spec.TaskId())); + + manager_.MarkTaskWaitingForExecution( + spec.TaskId(), NodeID::FromRandom(), WorkerID::FromRandom()); + ASSERT_TRUE(manager_.IsTaskWaitingForExecution(spec.TaskId())); + + rpc::PushTaskReply reply; + auto return_object = reply.add_return_objects(); + return_object->set_object_id(return_id.Binary()); + auto data = GenerateRandomBuffer(); + return_object->set_data(data->Data(), data->Size()); + manager_.CompletePendingTask(spec.TaskId(), reply, rpc::Address(), false); + ASSERT_FALSE(manager_.IsTaskPending(spec.TaskId())); + // We assume that the GPU object ref is still in scope, so both the return object + // and the GPU object ref should remain. + ASSERT_EQ(reference_counter_->NumObjectIDsInScope(), 2); + ASSERT_FALSE(reference_counter_->IsObjectPendingCreation(return_id)); + + // Call `RemoveLocalReference` to simulate that the GPU object ref is out of scope. + // Then, the GPU object should be removed. + std::vector removed; + reference_counter_->RemoveLocalReference(gpu_obj_ref, &removed); + ASSERT_EQ(removed[0], gpu_obj_ref); + ASSERT_EQ(reference_counter_->NumObjectIDsInScope(), 1); +} } // namespace core } // namespace ray diff --git a/src/ray/core_worker/transport/dependency_resolver.cc b/src/ray/core_worker/transport/dependency_resolver.cc index 82cc757c78e8..c86d8889552b 100644 --- a/src/ray/core_worker/transport/dependency_resolver.cc +++ b/src/ray/core_worker/transport/dependency_resolver.cc @@ -54,6 +54,12 @@ void InlineDependencies( // the GPU object from the in-actor GPU object store using the object ID as // the key. mutable_arg->clear_object_ref(); + // We only push the object ID of the non-GPU object to the inlined dependency + // IDs to avoid the reference count being updated immediately. GPU objects are + // inlined, but the actual data lives on the remote actor. Therefore, if we + // decrement the reference count upon inlining, we may cause the tensors on + // the sender actor to be freed before transferring to the receiver actor. + inlined_dependency_ids->push_back(id); } else { mutable_arg->set_tensor_transport(transport); } @@ -71,7 +77,6 @@ void InlineDependencies( mutable_arg->add_nested_inlined_refs()->CopyFrom(nested_ref); contained_ids->push_back(ObjectID::FromBinary(nested_ref.object_id())); } - inlined_dependency_ids->push_back(id); } found++; } diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index a2050d116ec7..27f5203265be 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -421,6 +421,12 @@ message NumPendingTasksReply { int64 num_pending_tasks = 1; } +message FreeActorObjectRequest { + bytes object_id = 1; +} + +message FreeActorObjectReply {} + message ReportGeneratorItemReturnsRequest { // The intermediate return object that's dynamically // generated from the executor side. @@ -578,6 +584,9 @@ service CoreWorkerService { // API user. rpc NumPendingTasks(NumPendingTasksRequest) returns (NumPendingTasksReply); + // Free GPU object from in-actor GPU object store. + rpc FreeActorObject(FreeActorObjectRequest) returns (FreeActorObjectReply); + // Registers a mutable object reader for compiled graphs. // Failure: TODO: Needs failure behavior. rpc RegisterMutableObjectReader(RegisterMutableObjectReaderRequest) diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 85b0eec5f589..29f3afe8fada 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -189,6 +189,9 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const RayletNotifyGCSRestartRequest &request, const ClientCallback &callback) {} + virtual void FreeActorObject(const FreeActorObjectRequest &request, + const ClientCallback &callback) {} + virtual ~CoreWorkerClientInterface() = default; }; @@ -342,6 +345,12 @@ class CoreWorkerClient : public std::enable_shared_from_this, /*method_timeout_ms*/ -1, override) + VOID_RPC_CLIENT_METHOD(CoreWorkerService, + FreeActorObject, + grpc_client_, + /*method_timeout_ms*/ -1, + override) + void PushActorTask(std::unique_ptr request, bool skip_queue, ClientCallback &&callback) override; diff --git a/src/ray/rpc/worker/core_worker_server.h b/src/ray/rpc/worker/core_worker_server.h index 2f37619de662..39a6a918414e 100644 --- a/src/ray/rpc/worker/core_worker_server.h +++ b/src/ray/rpc/worker/core_worker_server.h @@ -59,7 +59,8 @@ namespace rpc { RAY_CORE_WORKER_RPC_SERVICE_HANDLER(PlasmaObjectReady) \ RAY_CORE_WORKER_RPC_SERVICE_HANDLER(Exit) \ RAY_CORE_WORKER_RPC_SERVICE_HANDLER(AssignObjectOwner) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(NumPendingTasks) + RAY_CORE_WORKER_RPC_SERVICE_HANDLER(NumPendingTasks) \ + RAY_CORE_WORKER_RPC_SERVICE_HANDLER(FreeActorObject) #define RAY_CORE_WORKER_DECLARE_RPC_HANDLERS \ DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PushTask) \ @@ -85,7 +86,8 @@ namespace rpc { DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PlasmaObjectReady) \ DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(Exit) \ DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(AssignObjectOwner) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(NumPendingTasks) + DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(NumPendingTasks) \ + DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(FreeActorObject) /// Interface of the `CoreWorkerServiceHandler`, see `src/ray/protobuf/core_worker.proto`. class CoreWorkerServiceHandler : public DelayedServiceHandler { From 53ba75d55046da56f4e872e96ee845111e6b2e78 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Fri, 11 Jul 2025 14:38:25 -0700 Subject: [PATCH 0164/1566] `concat`: Handle mixed Tensor types for structs (#54386) ## Why are these changes needed? `concat`: Handle mixed Tensor types for structs **unify_schemas** - Handle duplicate column names in schema. - For structs, invoke `unify_schemas` on itself. - For tensors, handle missing fields. **concat** - For structs, `_align_struct_fields` is invoked to handle missing fields and aligned schemas. Here handle Tensors type mismatch in `_backfill_missing_fields`. **Tests** - Added test fixtures to existing test. No logic changes. ``` test_arrow_concat_empty test_arrow_concat_single_block test_arrow_concat_basic test_arrow_concat_null_promotion test_arrow_concat_tensor_extension_uniform test_arrow_concat_tensor_extension_variable_shaped test_arrow_concat_tensor_extension_uniform_and_variable_shaped test_arrow_concat_tensor_extension_uniform_but_different test_arrow_concat_with_objects test_struct_with_different_field_names test_nested_structs test_struct_with_null_values test_struct_with_mismatched_lengths test_struct_with_empty_arrays test_arrow_concat_object_with_tensor_fails test_unify_schemas test_unify_schemas_type_promotion test_arrow_block_select test_arrow_block_slice_copy test_arrow_block_slice_copy_empty ``` - Test `concat` of tables with structs & tensors coverage. ``` test_struct_with_arrow_variable_shaped_tensor_type test_mixed_tensor_types_same_dtype test_mixed_tensor_types_fixed_shape_different test_mixed_tensor_types_variable_shaped test_mixed_tensor_types_in_struct test_nested_struct_with_mixed_tensor_types test_multiple_tensor_fields_in_struct test_struct_with_incompatible_tensor_dtypes_fails test_struct_with_additional_fields test_struct_with_null_tensor_values ``` - Test `unify_schema` coverage. ``` test_unify_schemas_null_typed_lists test_unify_schemas_object_types test_unify_schemas_duplicate_fields test_unify_schemas_incompatible_tensor_dtypes test_unify_schemas_objects_and_tensors test_unify_schemas_missing_tensor_fields test_unify_schemas_nested_struct_tensors test_unify_schemas_edge_cases test_unify_schemas_mixed_tensor_types ``` ## Related issue number "Closes #54186" ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- .../_internal/arrow_ops/transform_pyarrow.py | 86 +- .../ray/data/tests/test_transform_pyarrow.py | 3145 ++++++++++++++--- 2 files changed, 2726 insertions(+), 505 deletions(-) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index fd20353d732b..71a85c91d168 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -182,6 +182,12 @@ def unify_schemas( all_columns = set() for schema in schemas: for col_name in schema.names: + # Check for duplicate field names in this schema + if schema.names.count(col_name) > 1: + # This is broken for Pandas blocks and broken with the logic here + raise ValueError( + f"Schema {schema} has multiple fields with the same name: {col_name}" + ) col_type = schema.field(col_name).type if pa.types.is_list(col_type) and pa.types.is_null(col_type.value_type): cols_with_null_list.add(col_name) @@ -197,20 +203,16 @@ def unify_schemas( columns_with_objects = set() columns_with_tensor_array = set() + columns_with_struct = set() for col_name in all_columns: for s in schemas: - indices = s.get_all_field_indices(col_name) - if len(indices) > 1: - # This is broken for Pandas blocks and broken with the logic here - raise ValueError( - f"Schema {s} has multiple fields with the same name: {col_name}" - ) - elif len(indices) == 0: - continue - if isinstance(s.field(col_name).type, ArrowPythonObjectType): - columns_with_objects.add(col_name) - if isinstance(s.field(col_name).type, arrow_tensor_types): - columns_with_tensor_array.add(col_name) + if col_name in s.names: + if isinstance(s.field(col_name).type, ArrowPythonObjectType): + columns_with_objects.add(col_name) + if isinstance(s.field(col_name).type, arrow_tensor_types): + columns_with_tensor_array.add(col_name) + if isinstance(s.field(col_name).type, pa.StructType): + columns_with_struct.add(col_name) if len(columns_with_objects.intersection(columns_with_tensor_array)) > 0: # This is supportable if we use object type, but it will be expensive @@ -222,10 +224,18 @@ def unify_schemas( tensor_array_types = [ s.field(col_name).type for s in schemas - if isinstance(s.field(col_name).type, arrow_tensor_types) + if col_name in s.names + and isinstance(s.field(col_name).type, arrow_tensor_types) ] - if ArrowTensorType._need_variable_shaped_tensor_array(tensor_array_types): + # Check if we have missing tensor fields (some schemas don't have this field) + has_missing_fields = len(tensor_array_types) < len(schemas) + + # Convert to variable-shaped if needed or if we have missing fields + if ( + ArrowTensorType._need_variable_shaped_tensor_array(tensor_array_types) + or has_missing_fields + ): if isinstance(tensor_array_types[0], ArrowVariableShapedTensorType): new_type = tensor_array_types[0] elif isinstance(tensor_array_types[0], arrow_fixed_shape_tensor_types): @@ -243,6 +253,23 @@ def unify_schemas( for col_name in columns_with_objects: schema_field_overrides[col_name] = ArrowPythonObjectType() + for col_name in columns_with_struct: + field_types = [s.field(col_name).type for s in schemas] + + # Unify struct schemas + struct_schemas = [] + for t in field_types: + if t is not None and pa.types.is_struct(t): + struct_schemas.append(pa.schema(list(t))) + else: + struct_schemas.append(pa.schema([])) + + unified_struct_schema = unify_schemas( + struct_schemas, promote_types=promote_types + ) + + schema_field_overrides[col_name] = pa.struct(list(unified_struct_schema)) + if cols_with_null_list: # For each opaque list column, iterate through all schemas until we find # a valid value_type that can be used to override the column types in @@ -260,9 +287,10 @@ def unify_schemas( # Go through all schemas and update the types of columns from the above loop. for schema in schemas: for col_name, col_new_type in schema_field_overrides.items(): - var_shaped_col = schema.field(col_name).with_type(col_new_type) - col_idx = schema.get_field_index(col_name) - schema = schema.set(col_idx, var_shaped_col) + if col_name in schema.names: + var_shaped_col = schema.field(col_name).with_type(col_new_type) + col_idx = schema.get_field_index(col_name) + schema = schema.set(col_idx, var_shaped_col) schemas_to_unify.append(schema) else: schemas_to_unify = schemas @@ -362,6 +390,12 @@ def _backfill_missing_fields( """ import pyarrow as pa + from ray.air.util.tensor_extensions.arrow import ( + ArrowTensorType, + ArrowVariableShapedTensorType, + get_arrow_extension_tensor_types, + ) + # Flatten chunked arrays into a single array if necessary if isinstance(column, pa.ChunkedArray): column = pa.concat_arrays(column.chunks) @@ -381,6 +415,8 @@ def _backfill_missing_fields( if column.type == unified_struct_type: return column + tensor_types = get_arrow_extension_tensor_types() + aligned_fields = [] # Iterate over the fields in the unified struct type schema @@ -398,6 +434,22 @@ def _backfill_missing_fields( unified_struct_type=field_type, block_length=block_length, ) + + # Handle tensor extension type mismatches + elif isinstance(field_type, tensor_types) and isinstance( + current_array.type, tensor_types + ): + # Convert to variable-shaped if needed + if ArrowTensorType._need_variable_shaped_tensor_array( + [current_array.type, field_type] + ) and not isinstance(current_array.type, ArrowVariableShapedTensorType): + # Only convert if it's not already a variable-shaped tensor array + current_array = current_array.to_variable_shaped_tensor_array() + + # The schema should already be unified by unify_schemas, so types + # should be compatible. If not, let the error propagate up. + # No explicit casting needed - PyArrow will handle type compatibility + # during struct creation or raise appropriate errors. aligned_fields.append(current_array) else: # If the field is missing, fill with nulls diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index 5d8f0844602f..dd925bdf755f 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -14,6 +14,7 @@ from ray.data import DataContext from ray.data._internal.arrow_ops.transform_pyarrow import ( MIN_PYARROW_VERSION_TYPE_PROMOTION, + _align_struct_fields, concat, hash_partition, shuffle, @@ -27,6 +28,7 @@ ArrowPythonObjectType, ArrowTensorArray, ArrowTensorType, + ArrowVariableShapedTensorArray, ArrowVariableShapedTensorType, _object_extension_type_allowed, ) @@ -117,590 +119,385 @@ def test_shuffle(): ) -def test_arrow_concat_empty(): +def test_arrow_concat_empty(simple_concat_data): # Test empty. - assert concat([]) == pa.table([]) + assert concat(simple_concat_data["empty"]) == pa.table([]) -def test_arrow_concat_single_block(): +def test_arrow_concat_single_block(simple_concat_data): # Test single block: - t = pa.table({"a": [1, 2]}) - out = concat([t]) + out = concat([simple_concat_data["single_block"]]) assert len(out) == 2 - assert out == t + assert out == simple_concat_data["single_block"] -def test_arrow_concat_basic(): +def test_arrow_concat_basic(basic_concat_blocks, basic_concat_expected): # Test two basic tables. - t1 = pa.table({"a": [1, 2], "b": [5, 6]}) - t2 = pa.table({"a": [3, 4], "b": [7, 8]}) - ts = [t1, t2] + ts = basic_concat_blocks out = concat(ts) # Check length. - assert len(out) == 4 + assert len(out) == basic_concat_expected["length"] # Check schema. - assert out.column_names == ["a", "b"] - assert out.schema.types == [pa.int64(), pa.int64()] + assert out.column_names == basic_concat_expected["column_names"] + assert out.schema.types == basic_concat_expected["schema_types"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 - assert out["b"].num_chunks == 2 + assert out["a"].num_chunks == basic_concat_expected["chunks"] + assert out["b"].num_chunks == basic_concat_expected["chunks"] # Check content. - assert out["a"].to_pylist() == [1, 2, 3, 4] - assert out["b"].to_pylist() == [5, 6, 7, 8] + assert out["a"].to_pylist() == basic_concat_expected["content"]["a"] + assert out["b"].to_pylist() == basic_concat_expected["content"]["b"] # Check equivalence. expected = pa.concat_tables(ts) assert out == expected -def test_arrow_concat_null_promotion(): +def test_arrow_concat_null_promotion(null_promotion_blocks, null_promotion_expected): # Test null column --> well-typed column promotion. - t1 = pa.table({"a": [None, None], "b": [5, 6]}) - t2 = pa.table({"a": [3, 4], "b": [None, None]}) - ts = [t1, t2] + ts = null_promotion_blocks out = concat(ts) # Check length. - assert len(out) == 4 + assert len(out) == null_promotion_expected["length"] # Check schema. - assert out.column_names == ["a", "b"] - assert out.schema.types == [pa.int64(), pa.int64()] + assert out.column_names == null_promotion_expected["column_names"] + assert out.schema.types == null_promotion_expected["schema_types"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 - assert out["b"].num_chunks == 2 + assert out["a"].num_chunks == null_promotion_expected["chunks"] + assert out["b"].num_chunks == null_promotion_expected["chunks"] # Check content. - assert out["a"].to_pylist() == [None, None, 3, 4] - assert out["b"].to_pylist() == [5, 6, None, None] + assert out["a"].to_pylist() == null_promotion_expected["content"]["a"] + assert out["b"].to_pylist() == null_promotion_expected["content"]["b"] # Check equivalence. expected = pa.concat_tables(ts, promote=True) assert out == expected -def test_arrow_concat_tensor_extension_uniform(): +def test_arrow_concat_tensor_extension_uniform( + uniform_tensor_blocks, uniform_tensor_expected +): # Test tensor column concatenation. - a1 = np.arange(12).reshape((3, 2, 2)) - t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) - a2 = np.arange(12, 24).reshape((3, 2, 2)) - t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + t1, t2 = uniform_tensor_blocks ts = [t1, t2] out = concat(ts) # Check length. - assert len(out) == 6 + assert len(out) == uniform_tensor_expected["length"] # Check schema. - if DataContext.get_current().use_arrow_tensor_v2: - tensor_type = ArrowTensorTypeV2 - else: - tensor_type = ArrowTensorType - assert out.column_names == ["a"] - assert out.schema.types == [tensor_type((2, 2), pa.int64())] + assert out.schema == uniform_tensor_expected["schema"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 + assert out["a"].num_chunks == uniform_tensor_expected["chunks"] # Check content. - np.testing.assert_array_equal(out["a"].chunk(0).to_numpy(), a1) - np.testing.assert_array_equal(out["a"].chunk(1).to_numpy(), a2) + content = uniform_tensor_expected["content"] + np.testing.assert_array_equal(out["a"].chunk(0).to_numpy(), content[0]) + np.testing.assert_array_equal(out["a"].chunk(1).to_numpy(), content[1]) # Check equivalence. expected = pa.concat_tables(ts, promote=True) assert out == expected -def test_arrow_concat_tensor_extension_variable_shaped(): +def test_arrow_concat_tensor_extension_variable_shaped( + variable_shaped_tensor_blocks, variable_shaped_tensor_expected +): # Test variable_shaped tensor column concatenation. - a1 = np.array( - [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object - ) - t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) - a2 = np.array( - [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object - ) - t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + t1, t2 = variable_shaped_tensor_blocks ts = [t1, t2] out = concat(ts) # Check length. - assert len(out) == 4 + assert len(out) == variable_shaped_tensor_expected["length"] # Check schema. assert out.column_names == ["a"] - assert out.schema.types == [ArrowVariableShapedTensorType(pa.int64(), 2)] + assert out.schema == variable_shaped_tensor_expected["schema"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 + assert out["a"].num_chunks == variable_shaped_tensor_expected["chunks"] # Check content. - for o, e in zip(out["a"].chunk(0).to_numpy(), a1): + content = variable_shaped_tensor_expected["content"] + for o, e in zip(out["a"].chunk(0).to_numpy(), content[0]): np.testing.assert_array_equal(o, e) - for o, e in zip(out["a"].chunk(1).to_numpy(), a2): + for o, e in zip(out["a"].chunk(1).to_numpy(), content[1]): np.testing.assert_array_equal(o, e) # NOTE: We don't check equivalence with pyarrow.concat_tables since it currently # fails for this case. -def test_arrow_concat_tensor_extension_uniform_and_variable_shaped(): +def test_arrow_concat_tensor_extension_uniform_and_variable_shaped( + mixed_tensor_blocks, mixed_tensor_expected +): # Test concatenating a homogeneous-shaped tensor column with a variable-shaped # tensor column. - a1 = np.arange(12).reshape((3, 2, 2)) - t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) - a2 = np.array( - [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object - ) - t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + t1, t2 = mixed_tensor_blocks ts = [t1, t2] out = concat(ts) # Check length. - assert len(out) == 5 + assert len(out) == mixed_tensor_expected["length"] # Check schema. assert out.column_names == ["a"] - assert out.schema.types == [ArrowVariableShapedTensorType(pa.int64(), 2)] + assert out.schema == mixed_tensor_expected["schema"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 + assert out["a"].num_chunks == mixed_tensor_expected["chunks"] # Check content. - for o, e in zip(out["a"].chunk(0).to_numpy(), a1): + content = mixed_tensor_expected["content"] + for o, e in zip(out["a"].chunk(0).to_numpy(), content[0]): np.testing.assert_array_equal(o, e) - for o, e in zip(out["a"].chunk(1).to_numpy(), a2): + for o, e in zip(out["a"].chunk(1).to_numpy(), content[1]): np.testing.assert_array_equal(o, e) # NOTE: We don't check equivalence with pyarrow.concat_tables since it currently # fails for this case. -def test_arrow_concat_tensor_extension_uniform_but_different(): +def test_arrow_concat_tensor_extension_uniform_but_different( + different_shape_tensor_blocks, different_shape_tensor_expected +): # Test concatenating two homogeneous-shaped tensor columns with differing shapes # between them. - a1 = np.arange(12).reshape((3, 2, 2)) - t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) - a2 = np.arange(12, 39).reshape((3, 3, 3)) - t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + t1, t2 = different_shape_tensor_blocks ts = [t1, t2] out = concat(ts) # Check length. - assert len(out) == 6 + assert len(out) == different_shape_tensor_expected["length"] # Check schema. assert out.column_names == ["a"] - assert out.schema.types == [ArrowVariableShapedTensorType(pa.int64(), 2)] + assert out.schema == different_shape_tensor_expected["schema"] # Confirm that concatenation is zero-copy (i.e. it didn't trigger chunk # consolidation). - assert out["a"].num_chunks == 2 + assert out["a"].num_chunks == different_shape_tensor_expected["chunks"] # Check content. - for o, e in zip(out["a"].chunk(0).to_numpy(), a1): + content = different_shape_tensor_expected["content"] + for o, e in zip(out["a"].chunk(0).to_numpy(), content[0]): np.testing.assert_array_equal(o, e) - for o, e in zip(out["a"].chunk(1).to_numpy(), a2): + for o, e in zip(out["a"].chunk(1).to_numpy(), content[1]): np.testing.assert_array_equal(o, e) # NOTE: We don't check equivalence with pyarrow.concat_tables since it currently # fails for this case. -def test_arrow_concat_with_objects(): - obj = types.SimpleNamespace(a=1, b="test") - t1 = pa.table({"a": [3, 4], "b": [7, 8]}) - t2 = pa.table({"a": ArrowPythonObjectArray.from_objects([obj, obj]), "b": [0, 1]}) - t3 = concat([t1, t2]) +def test_arrow_concat_with_objects(object_concat_blocks, object_concat_expected): + t3 = concat(object_concat_blocks) assert isinstance(t3, pa.Table) - assert len(t3) == 4 - assert isinstance(t3.schema.field("a").type, ArrowPythonObjectType) - assert pa.types.is_integer(t3.schema.field("b").type) - assert t3.column("a").to_pylist() == [3, 4, obj, obj] - assert t3.column("b").to_pylist() == [7, 8, 0, 1] + assert len(t3) == object_concat_expected["length"] + assert isinstance(t3.schema.field("a").type, object_concat_expected["a_type"]) + assert object_concat_expected["b_type"](t3.schema.field("b").type) + assert t3.column("a").to_pylist() == object_concat_expected["content"]["a"] + assert t3.column("b").to_pylist() == object_concat_expected["content"]["b"] @pytest.mark.skipif( get_pyarrow_version() < parse_version("17.0.0"), reason="Requires PyArrow version 17 or higher", ) -def test_struct_with_different_field_names(): +def test_struct_with_different_field_names( + struct_different_field_names_blocks, struct_different_field_names_expected +): # Ensures that when concatenating tables with struct columns having different # field names, missing fields in each struct are filled with None in the # resulting table. - t1 = pa.table( - { - "a": [1, 2], - "d": pa.array( - [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}], - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) - - t2 = pa.table( - { - "a": [3], - "d": pa.array( - [{"x": 3, "z": "c"}], - type=pa.struct([("x", pa.int32()), ("z", pa.string())]), - ), - } - ) - # Concatenate tables with different field names in struct - t3 = concat([t1, t2]) + t3 = concat(struct_different_field_names_blocks) assert isinstance(t3, pa.Table) - assert len(t3) == 3 + assert len(t3) == struct_different_field_names_expected["length"] # Check the entire schema - expected_schema = pa.schema( - [ - ("a", pa.int64()), - ( - "d", - pa.struct( - [ - ("x", pa.int32()), - ("y", pa.string()), - ("z", pa.string()), - ] - ), - ), - ] - ) - assert t3.schema == expected_schema + assert t3.schema == struct_different_field_names_expected["schema"] # Check that missing fields are filled with None - assert t3.column("a").to_pylist() == [1, 2, 3] - assert t3.column("d").to_pylist() == [ - {"x": 1, "y": "a", "z": None}, - {"x": 2, "y": "b", "z": None}, - {"x": 3, "y": None, "z": "c"}, - ] + assert ( + t3.column("a").to_pylist() + == struct_different_field_names_expected["content"]["a"] + ) + assert ( + t3.column("d").to_pylist() + == struct_different_field_names_expected["content"]["d"] + ) @pytest.mark.skipif( get_pyarrow_version() < parse_version("17.0.0"), reason="Requires PyArrow version 17 or higher", ) -def test_nested_structs(): +def test_nested_structs(nested_structs_blocks, nested_structs_expected): # Checks that deeply nested structs (3 levels of nesting) are handled properly # during concatenation and the resulting table preserves the correct nesting # structure. - t1 = pa.table( - { - "a": [1], - "d": pa.array( - [ - { - "x": { - "y": {"p": 1}, # Missing "q" - "z": {"m": 3}, # Missing "n" - }, - "w": 5, - } - ], - type=pa.struct( - [ - ( - "x", - pa.struct( - [ - ( - "y", - pa.struct([("p", pa.int32())]), # Only "p" - ), - ( - "z", - pa.struct([("m", pa.int32())]), # Only "m" - ), - ] - ), - ), - ("w", pa.int32()), - ] - ), - ), - } - ) - - t2 = pa.table( - { - "a": [2], - "d": pa.array( - [ - { - "x": { - "y": {"q": 7}, # Missing "p" - "z": {"n": 9}, # Missing "m" - }, - "w": 10, - } - ], - type=pa.struct( - [ - ( - "x", - pa.struct( - [ - ( - "y", - pa.struct([("q", pa.int32())]), # Only "q" - ), - ( - "z", - pa.struct([("n", pa.int32())]), # Only "n" - ), - ] - ), - ), - ("w", pa.int32()), - ] - ), - ), - } - ) - # Concatenate tables with nested structs and missing fields - t3 = concat([t1, t2]) + t3 = concat(nested_structs_blocks) assert isinstance(t3, pa.Table) - assert len(t3) == 2 + assert len(t3) == nested_structs_expected["length"] # Validate the schema of the resulting table - expected_schema = pa.schema( - [ - ("a", pa.int64()), - ( - "d", - pa.struct( - [ - ( - "x", - pa.struct( - [ - ( - "y", - pa.struct( - [("p", pa.int32()), ("q", pa.int32())] - ), - ), - ( - "z", - pa.struct( - [("m", pa.int32()), ("n", pa.int32())] - ), - ), - ] - ), - ), - ("w", pa.int32()), - ] - ), - ), - ] - ) - assert t3.schema == expected_schema + assert t3.schema == nested_structs_expected["schema"] # Validate the data in the concatenated table - assert t3.column("a").to_pylist() == [1, 2] - assert t3.column("d").to_pylist() == [ - { - "x": { - "y": {"p": 1, "q": None}, # Missing "q" filled with None - "z": {"m": 3, "n": None}, # Missing "n" filled with None - }, - "w": 5, - }, - { - "x": { - "y": {"p": None, "q": 7}, # Missing "p" filled with None - "z": {"m": None, "n": 9}, # Missing "m" filled with None - }, - "w": 10, - }, - ] + assert t3.column("a").to_pylist() == nested_structs_expected["content"]["a"] + assert t3.column("d").to_pylist() == nested_structs_expected["content"]["d"] -def test_struct_with_null_values(): +def test_struct_with_null_values( + struct_null_values_blocks, struct_null_values_expected +): # Ensures that when concatenating tables with struct columns containing null # values, the null values are properly handled, and the result reflects the # expected structure. - # Define the first table with struct containing null values - t1 = pa.table( - { - "a": [1, 2], - "d": pa.array( - [{"x": 1, "y": "a"}, None], # Second row is null - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) - - # Define the second table with struct containing a null value - t2 = pa.table( - { - "a": [3], - "d": pa.array( - [None], # Entire struct is null - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) - # Concatenate tables with struct columns containing null values - t3 = concat([t1, t2]) + t3 = concat(struct_null_values_blocks) assert isinstance(t3, pa.Table) - assert len(t3) == 3 + assert len(t3) == struct_null_values_expected["length"] # Validate the schema of the resulting table - expected_schema = pa.schema( - [ - ("a", pa.int64()), - ("d", pa.struct([("x", pa.int32()), ("y", pa.string())])), - ] - ) assert ( - t3.schema == expected_schema - ), f"Expected schema: {expected_schema}, but got {t3.schema}" + t3.schema == struct_null_values_expected["schema"] + ), f"Expected schema: {struct_null_values_expected['schema']}, but got {t3.schema}" # Verify the PyArrow table content - assert t3.column("a").to_pylist() == [1, 2, 3] - - # Adjust expected to match the format of the actual result - expected = [ - {"x": 1, "y": "a"}, - None, # Entire struct is None, not {"x": None, "y": None} - None, # Entire struct is None, not {"x": None, "y": None} - ] + assert t3.column("a").to_pylist() == struct_null_values_expected["content"]["a"] result = t3.column("d").to_pylist() + expected = struct_null_values_expected["content"]["d"] assert result == expected, f"Expected {expected}, but got {result}" -def test_struct_with_mismatched_lengths(): +def test_struct_with_mismatched_lengths( + struct_mismatched_lengths_blocks, struct_mismatched_lengths_expected +): # Verifies that when concatenating tables with struct columns of different lengths, # the missing values are properly padded with None in the resulting table. - # Define the first table with 2 rows and a struct column - t1 = pa.table( - { - "a": [1, 2], - "d": pa.array( - [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}], - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) - - # Define the second table with 1 row and a struct column - t2 = pa.table( - { - "a": [3], - "d": pa.array( - [{"x": 3, "y": "c"}], - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) # Concatenate tables with struct columns of different lengths - t3 = concat([t1, t2]) + t3 = concat(struct_mismatched_lengths_blocks) assert isinstance(t3, pa.Table) - assert len(t3) == 3 # Check that the resulting table has the correct number of rows + assert ( + len(t3) == struct_mismatched_lengths_expected["length"] + ) # Check that the resulting table has the correct number of rows # Validate the schema of the resulting table - expected_schema = pa.schema( - [ - ("a", pa.int64()), - ("d", pa.struct([("x", pa.int32()), ("y", pa.string())])), - ] - ) assert ( - t3.schema == expected_schema - ), f"Expected schema: {expected_schema}, but got {t3.schema}" + t3.schema == struct_mismatched_lengths_expected["schema"] + ), f"Expected schema: {struct_mismatched_lengths_expected['schema']}, but got {t3.schema}" # Verify the content of the resulting table - assert t3.column("a").to_pylist() == [1, 2, 3] - expected = [ - {"x": 1, "y": "a"}, - {"x": 2, "y": "b"}, - {"x": 3, "y": "c"}, - ] + assert ( + t3.column("a").to_pylist() == struct_mismatched_lengths_expected["content"]["a"] + ) result = t3.column("d").to_pylist() + expected = struct_mismatched_lengths_expected["content"]["d"] assert result == expected, f"Expected {expected}, but got {result}" -def test_struct_with_empty_arrays(): +def test_struct_with_empty_arrays( + struct_empty_arrays_blocks, struct_empty_arrays_expected +): # Checks the behavior when concatenating tables with structs containing empty # arrays, verifying that null structs are correctly handled. - # Define the first table with valid struct data - t1 = pa.table( - { - "a": [1, 2], - "d": pa.array( - [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}], - type=pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), - } - ) - - # Define the second table with null struct value (empty arrays for fields) - x_array = pa.array([None], type=pa.int32()) - y_array = pa.array([None], type=pa.string()) - - # Create a struct array from null field arrays - null_struct_array = pa.StructArray.from_arrays( - [x_array, y_array], - ["x", "y"], - mask=pa.array([True]), - ) - - t2 = pa.table({"a": [3], "d": null_struct_array}) - # Concatenate tables with struct columns containing null values - t3 = concat([t1, t2]) + t3 = concat(struct_empty_arrays_blocks) # Verify that the concatenated result is a valid PyArrow Table assert isinstance(t3, pa.Table) - assert len(t3) == 3 # Check that the concatenated table has 3 rows + assert ( + len(t3) == struct_empty_arrays_expected["length"] + ) # Check that the concatenated table has 3 rows # Validate the schema of the resulting concatenated table - expected_schema = pa.schema( - [ - ("a", pa.int64()), # Assuming 'a' is an integer column - ( - "d", - pa.struct([("x", pa.int32()), ("y", pa.string())]), - ), # Struct column 'd' - ] - ) assert ( - t3.schema == expected_schema - ), f"Expected schema: {expected_schema}, but got {t3.schema}" + t3.schema == struct_empty_arrays_expected["schema"] + ), f"Expected schema: {struct_empty_arrays_expected['schema']}, but got {t3.schema}" # Verify the content of the concatenated table - assert t3.column("a").to_pylist() == [1, 2, 3] - expected = [ - {"x": 1, "y": "a"}, - {"x": 2, "y": "b"}, - None, # Entire struct is None, as PyArrow handles it - ] + assert t3.column("a").to_pylist() == struct_empty_arrays_expected["content"]["a"] result = t3.column("d").to_pylist() + expected = struct_empty_arrays_expected["content"]["d"] assert result == expected, f"Expected {expected}, but got {result}" -def test_arrow_concat_object_with_tensor_fails(): - obj = types.SimpleNamespace(a=1, b="test") - t1 = pa.table({"a": ArrowPythonObjectArray.from_objects([obj, obj]), "b": [0, 1]}) - t2 = pa.table( - {"a": ArrowTensorArray.from_numpy([np.zeros((10, 10))] * 2), "b": [7, 8]} +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_struct_with_arrow_variable_shaped_tensor_type( + struct_variable_shaped_tensor_blocks, struct_variable_shaped_tensor_expected +): + # Test concatenating tables with struct columns containing ArrowVariableShapedTensorType + # fields, ensuring proper handling of variable-shaped tensors within structs. + + # Concatenate tables with struct columns containing variable-shaped tensors + t3 = concat(struct_variable_shaped_tensor_blocks) + assert isinstance(t3, pa.Table) + assert len(t3) == struct_variable_shaped_tensor_expected["length"] + + # Validate the schema of the resulting table + assert ( + t3.schema == struct_variable_shaped_tensor_expected["schema"] + ), f"Expected schema: {struct_variable_shaped_tensor_expected['schema']}, but got {t3.schema}" + + # Verify the content of the resulting table + assert ( + t3.column("id").to_pylist() + == struct_variable_shaped_tensor_expected["content"]["id"] ) + + # Check that the struct column contains the expected data + result_structs = t3.column("struct_with_tensor").to_pylist() + assert len(result_structs) == 4 + + # Verify each struct contains the correct metadata and tensor data + expected_metadata = ["row1", "row2", "row3", "row4"] + for i, (struct, expected_meta) in enumerate(zip(result_structs, expected_metadata)): + assert struct["metadata"] == expected_meta + assert isinstance(struct["tensor"], np.ndarray) + + # Verify tensor shapes match expectations + if i == 0: + assert struct["tensor"].shape == (2, 2) + np.testing.assert_array_equal( + struct["tensor"], np.ones((2, 2), dtype=np.float32) + ) + elif i == 1: + assert struct["tensor"].shape == (3, 3) + np.testing.assert_array_equal( + struct["tensor"], np.zeros((3, 3), dtype=np.float32) + ) + elif i == 2: + assert struct["tensor"].shape == (1, 4) + np.testing.assert_array_equal( + struct["tensor"], np.ones((1, 4), dtype=np.float32) + ) + elif i == 3: + assert struct["tensor"].shape == (2, 1) + np.testing.assert_array_equal( + struct["tensor"], np.zeros((2, 1), dtype=np.float32) + ) + + +def test_arrow_concat_object_with_tensor_fails(object_with_tensor_fails_blocks): with pytest.raises(ArrowConversionError) as exc_info: - concat([t1, t2]) + concat(object_with_tensor_fails_blocks) assert "objects and tensors" in str(exc_info.value.__cause__) -def test_unify_schemas(): +def test_unify_schemas(unify_schemas_basic_schemas, unify_schemas_multicol_schemas): # Unifying a schema with the same schema as itself - tensor_arr_1 = pa.schema([("tensor_arr", ArrowTensorType((3, 5), pa.int32()))]) - assert unify_schemas([tensor_arr_1, tensor_arr_1]) == tensor_arr_1 + schemas = unify_schemas_basic_schemas + assert ( + unify_schemas([schemas["tensor_arr_1"], schemas["tensor_arr_1"]]) + == schemas["tensor_arr_1"] + ) # Single columns with different shapes - tensor_arr_2 = pa.schema([("tensor_arr", ArrowTensorType((2, 1), pa.int32()))]) - contains_diff_shaped = [tensor_arr_1, tensor_arr_2] + contains_diff_shaped = [schemas["tensor_arr_1"], schemas["tensor_arr_2"]] assert unify_schemas(contains_diff_shaped) == pa.schema( [ ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 2)), @@ -708,8 +505,7 @@ def test_unify_schemas(): ) # Single columns with same shapes - tensor_arr_3 = pa.schema([("tensor_arr", ArrowTensorType((3, 5), pa.int32()))]) - contains_diff_types = [tensor_arr_1, tensor_arr_3] + contains_diff_types = [schemas["tensor_arr_1"], schemas["tensor_arr_3"]] assert unify_schemas(contains_diff_types) == pa.schema( [ ("tensor_arr", ArrowTensorType((3, 5), pa.int32())), @@ -717,12 +513,7 @@ def test_unify_schemas(): ) # Single columns with a variable shaped tensor, same ndim - var_tensor_arr = pa.schema( - [ - ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 2)), - ] - ) - contains_var_shaped = [tensor_arr_1, var_tensor_arr] + contains_var_shaped = [schemas["tensor_arr_1"], schemas["var_tensor_arr"]] assert unify_schemas(contains_var_shaped) == pa.schema( [ ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 2)), @@ -730,23 +521,13 @@ def test_unify_schemas(): ) # Single columns with a variable shaped tensor, different ndim - var_tensor_arr_1d = pa.schema( - [ - ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 1)), - ] - ) - var_tensor_arr_3d = pa.schema( - [ - ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 3)), - ] - ) - contains_1d2d = [tensor_arr_1, var_tensor_arr_1d] + contains_1d2d = [schemas["tensor_arr_1"], schemas["var_tensor_arr_1d"]] assert unify_schemas(contains_1d2d) == pa.schema( [ ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 2)), ] ) - contains_2d3d = [tensor_arr_1, var_tensor_arr_3d] + contains_2d3d = [schemas["tensor_arr_1"], schemas["var_tensor_arr_3d"]] assert unify_schemas(contains_2d3d) == pa.schema( [ ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 3)), @@ -754,21 +535,10 @@ def test_unify_schemas(): ) # Multi-column schemas - multicol_schema_1 = pa.schema( - [ - ("col_int", pa.int32()), - ("col_fixed_tensor", ArrowTensorType((4, 2), pa.int32())), - ("col_var_tensor", ArrowVariableShapedTensorType(pa.int16(), 5)), - ] - ) - multicol_schema_2 = pa.schema( - [ - ("col_int", pa.int32()), - ("col_fixed_tensor", ArrowTensorType((4, 2), pa.int32())), - ("col_var_tensor", ArrowTensorType((9, 4, 1, 0, 5), pa.int16())), - ] - ) - assert unify_schemas([multicol_schema_1, multicol_schema_2]) == pa.schema( + multicol = unify_schemas_multicol_schemas + assert unify_schemas( + [multicol["multicol_schema_1"], multicol["multicol_schema_2"]] + ) == pa.schema( [ ("col_int", pa.int32()), ("col_fixed_tensor", ArrowTensorType((4, 2), pa.int32())), @@ -776,14 +546,9 @@ def test_unify_schemas(): ] ) - multicol_schema_3 = pa.schema( - [ - ("col_int", pa.int32()), - ("col_fixed_tensor", ArrowVariableShapedTensorType(pa.int32(), 3)), - ("col_var_tensor", ArrowVariableShapedTensorType(pa.int16(), 5)), - ] - ) - assert unify_schemas([multicol_schema_1, multicol_schema_3]) == pa.schema( + assert unify_schemas( + [multicol["multicol_schema_1"], multicol["multicol_schema_3"]] + ) == pa.schema( [ ("col_int", pa.int32()), ("col_fixed_tensor", ArrowVariableShapedTensorType(pa.int32(), 3)), @@ -793,7 +558,11 @@ def test_unify_schemas(): # Unifying >2 schemas together assert unify_schemas( - [multicol_schema_1, multicol_schema_2, multicol_schema_3] + [ + multicol["multicol_schema_1"], + multicol["multicol_schema_2"], + multicol["multicol_schema_3"], + ] ) == pa.schema( [ ("col_int", pa.int32()), @@ -803,48 +572,145 @@ def test_unify_schemas(): ) +def test_unify_schemas_null_typed_lists(unify_schemas_null_typed_lists_schemas): + """Test handling of null-typed lists (cols_with_null_list functionality).""" + schemas = unify_schemas_null_typed_lists_schemas + + # Should find valid value_type from schema2 and override + result = unify_schemas([schemas["null_list"], schemas["int_list"]]) + assert result == schemas["expected"] + + # Test with multiple schemas, some with null types + result = unify_schemas( + [schemas["null_list"], schemas["int_list"], schemas["string_list"]] + ) + # Should use the first non-null type found (int32) + assert result == schemas["expected"] + + +def test_unify_schemas_object_types(unify_schemas_object_types_schemas): + """Test handling of object types (columns_with_objects functionality).""" + schemas = unify_schemas_object_types_schemas + + # Should convert to ArrowPythonObjectType + result = unify_schemas([schemas["object_schema"], schemas["int_schema"]]) + assert result == schemas["expected"] + + # Test multiple object types + result = unify_schemas( + [schemas["object_schema"], schemas["int_schema"], schemas["float_schema"]] + ) + assert result == schemas["expected"] + + +def test_unify_schemas_duplicate_fields(unify_schemas_duplicate_fields_schema): + """Test error handling for duplicate field names.""" + with pytest.raises(ValueError, match="has multiple fields with the same name"): + unify_schemas([unify_schemas_duplicate_fields_schema]) + + @pytest.mark.skipif( - get_pyarrow_version() < MIN_PYARROW_VERSION_TYPE_PROMOTION, - reason="Requires Arrow version of at least 14.0.0", + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", ) -def test_unify_schemas_type_promotion(): - s_non_null = pa.schema( - [ - pa.field("A", pa.int32()), - ] +def test_unify_schemas_incompatible_tensor_dtypes( + unify_schemas_incompatible_tensor_schemas, +): + """Test error handling for incompatible tensor dtypes.""" + import pyarrow as pa + + with pytest.raises( + pa.lib.ArrowTypeError, + match="Unable to merge: Field tensor has incompatible types", + ): + unify_schemas(unify_schemas_incompatible_tensor_schemas) + + +def test_unify_schemas_objects_and_tensors(unify_schemas_objects_and_tensors_schemas): + """Test error handling for intersection of objects and tensors.""" + with pytest.raises(ValueError, match="Found columns with both objects and tensors"): + unify_schemas(unify_schemas_objects_and_tensors_schemas) + + +def test_unify_schemas_missing_tensor_fields( + unify_schemas_missing_tensor_fields_schemas, +): + """Test handling of missing tensor fields in structs (has_missing_fields logic).""" + schemas = unify_schemas_missing_tensor_fields_schemas + + # Should convert tensor to variable-shaped to accommodate missing field + result = unify_schemas([schemas["with_tensor"], schemas["without_tensor"]]) + assert result == schemas["expected"] + + +def test_unify_schemas_nested_struct_tensors( + unify_schemas_nested_struct_tensors_schemas, +): + """Test handling of nested structs with tensor fields.""" + schemas = unify_schemas_nested_struct_tensors_schemas + + # Should convert nested tensor to variable-shaped + result = unify_schemas([schemas["with_tensor"], schemas["without_tensor"]]) + assert result == schemas["expected"] + + +def test_unify_schemas_edge_cases(unify_schemas_edge_cases_data): + """Test edge cases and robustness.""" + data = unify_schemas_edge_cases_data + + # Empty schema list + with pytest.raises(Exception): # Should handle gracefully + unify_schemas(data["empty_schemas"]) + + # Single schema + assert unify_schemas([data["single_schema"]]) == data["single_schema"] + + # Schemas with no common columns + result = unify_schemas( + [data["no_common_columns"]["schema1"], data["no_common_columns"]["schema2"]] ) + assert result == data["no_common_columns"]["expected"] - s_nullable = pa.schema( - [ - pa.field("A", pa.int32(), nullable=True), - ] + # All null schemas + result = unify_schemas( + [data["all_null_schemas"]["schema1"], data["all_null_schemas"]["schema2"]] ) + assert result == data["all_null_schemas"]["schema1"] + + +def test_unify_schemas_mixed_tensor_types(unify_schemas_mixed_tensor_data): + """Test handling of mixed tensor types (fixed and variable shaped).""" + data = unify_schemas_mixed_tensor_data + + # Should result in variable-shaped tensor + result = unify_schemas([data["fixed_shape"], data["variable_shaped"]]) + assert result == data["expected_variable"] + + # Test with different shapes but same dtype + result = unify_schemas([data["fixed_shape"], data["different_shape"]]) + assert result == data["expected_variable"] + + +@pytest.mark.skipif( + get_pyarrow_version() < MIN_PYARROW_VERSION_TYPE_PROMOTION, + reason="Requires Arrow version of at least 14.0.0", +) +def test_unify_schemas_type_promotion(unify_schemas_type_promotion_data): + data = unify_schemas_type_promotion_data # No type promotion assert ( unify_schemas( - [s_non_null, s_nullable], + [data["non_null"], data["nullable"]], promote_types=False, ) - == s_nullable - ) - - s1 = pa.schema( - [ - pa.field("A", pa.int64()), - ] - ) - - s2 = pa.schema( - [ - pa.field("A", pa.float64()), - ] + == data["nullable"] ) # No type promotion with pytest.raises(pa.lib.ArrowTypeError) as exc_info: unify_schemas( - [s1, s2], + [data["int64"], data["float64"]], promote_types=False, ) @@ -855,31 +721,30 @@ def test_unify_schemas_type_promotion(): # Type promoted assert ( unify_schemas( - [s1, s2], + [data["int64"], data["float64"]], promote_types=True, ) - == s2 + == data["float64"] ) -def test_arrow_block_select(): - df = pd.DataFrame({"one": [10, 11, 12], "two": [11, 12, 13], "three": [14, 15, 16]}) - table = pa.Table.from_pandas(df) - block_accessor = BlockAccessor.for_block(table) +def test_arrow_block_select(block_select_data): + data = block_select_data + block_accessor = BlockAccessor.for_block(data["table"]) - block = block_accessor.select(["two"]) - assert block.schema == pa.schema([("two", pa.int64())]) - assert block.to_pandas().equals(df[["two"]]) + block = block_accessor.select(data["single_column"]["columns"]) + assert block.schema == data["single_column"]["expected_schema"] + assert block.to_pandas().equals(data["df"][data["single_column"]["columns"]]) - block = block_accessor.select(["two", "one"]) - assert block.schema == pa.schema([("two", pa.int64()), ("one", pa.int64())]) - assert block.to_pandas().equals(df[["two", "one"]]) + block = block_accessor.select(data["multiple_columns"]["columns"]) + assert block.schema == data["multiple_columns"]["expected_schema"] + assert block.to_pandas().equals(data["df"][data["multiple_columns"]["columns"]]) with pytest.raises(ValueError): block = block_accessor.select([lambda x: x % 3, "two"]) -def test_arrow_block_slice_copy(): +def test_arrow_block_slice_copy(block_slice_data): # Test that ArrowBlock slicing properly copies the underlying Arrow # table. def check_for_copy(table1, table2, a, b, is_copy): @@ -900,12 +765,9 @@ def check_for_copy(table1, table2, a, b, is_copy): else: assert bufs2[1].address == bufs1[1].address - n = 20 - df = pd.DataFrame( - {"one": list(range(n)), "two": ["a"] * n, "three": [np.nan] + [1.5] * (n - 1)} - ) - table = pa.Table.from_pandas(df) - a, b = 5, 10 + data = block_slice_data["normal"] + table = data["table"] + a, b = data["slice_params"]["a"], data["slice_params"]["b"] block_accessor = BlockAccessor.for_block(table) # Test with copy. @@ -917,12 +779,12 @@ def check_for_copy(table1, table2, a, b, is_copy): check_for_copy(table, table2, a, b, is_copy=False) -def test_arrow_block_slice_copy_empty(): +def test_arrow_block_slice_copy_empty(block_slice_data): # Test that ArrowBlock slicing properly copies the underlying Arrow # table when the table is empty. - df = pd.DataFrame({"one": []}) - table = pa.Table.from_pandas(df) - a, b = 0, 0 + data = block_slice_data["empty"] + table = data["table"] + a, b = data["slice_params"]["a"], data["slice_params"]["b"] expected_slice = table.slice(a, b - a) block_accessor = BlockAccessor.for_block(table) @@ -1090,6 +952,2313 @@ def test_pyarrow_conversion_error_handling( ] +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_mixed_tensor_types_same_dtype( + mixed_tensor_types_same_dtype_blocks, mixed_tensor_types_same_dtype_expected +): + """Test mixed tensor types with same data type but different shapes.""" + + t1, t2 = mixed_tensor_types_same_dtype_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == mixed_tensor_types_same_dtype_expected["length"] + + # Verify schema - should have tensor field as variable-shaped + assert t3.schema == mixed_tensor_types_same_dtype_expected["schema"] + tensor_field = t3.schema.field("tensor") + assert isinstance(tensor_field.type, ArrowVariableShapedTensorType) + + # Verify content + result_tensors = t3.column("tensor").to_pylist() + assert len(result_tensors) == mixed_tensor_types_same_dtype_expected["length"] + + expected_tensors = mixed_tensor_types_same_dtype_expected["tensor_values"] + + # Verify each tensor + for i, (result_tensor, expected_tensor) in enumerate( + zip(result_tensors, expected_tensors) + ): + assert isinstance(result_tensor, np.ndarray) + assert result_tensor.shape == expected_tensor.shape + assert result_tensor.dtype == expected_tensor.dtype + np.testing.assert_array_equal(result_tensor, expected_tensor) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_mixed_tensor_types_fixed_shape_different( + mixed_tensor_types_fixed_shape_blocks, mixed_tensor_types_fixed_shape_expected +): + """Test mixed tensor types with different fixed shapes.""" + + t1, t2 = mixed_tensor_types_fixed_shape_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == mixed_tensor_types_fixed_shape_expected["length"] + + # Verify schema - should have tensor field as variable-shaped + assert t3.schema == mixed_tensor_types_fixed_shape_expected["schema"] + tensor_field = t3.schema.field("tensor") + assert isinstance(tensor_field.type, ArrowVariableShapedTensorType) + + # Verify content + result_tensors = t3.column("tensor").to_pylist() + assert len(result_tensors) == mixed_tensor_types_fixed_shape_expected["length"] + + expected_tensors = mixed_tensor_types_fixed_shape_expected["tensor_values"] + + # Verify each tensor + for i, (result_tensor, expected_tensor) in enumerate( + zip(result_tensors, expected_tensors) + ): + assert isinstance(result_tensor, np.ndarray) + assert result_tensor.shape == expected_tensor.shape + assert result_tensor.dtype == expected_tensor.dtype + np.testing.assert_array_equal(result_tensor, expected_tensor) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_mixed_tensor_types_variable_shaped( + mixed_tensor_types_variable_shaped_blocks, + mixed_tensor_types_variable_shaped_expected, +): + """Test mixed tensor types with variable-shaped tensors.""" + + t1, t2 = mixed_tensor_types_variable_shaped_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == mixed_tensor_types_variable_shaped_expected["length"] + + # Verify schema - should have tensor field as variable-shaped + assert t3.schema == mixed_tensor_types_variable_shaped_expected["schema"] + tensor_field = t3.schema.field("tensor") + assert isinstance(tensor_field.type, ArrowVariableShapedTensorType) + + # Verify content + result_tensors = t3.column("tensor").to_pylist() + assert len(result_tensors) == mixed_tensor_types_variable_shaped_expected["length"] + + expected_tensors = mixed_tensor_types_variable_shaped_expected["tensor_values"] + + # Verify each tensor + for i, (result_tensor, expected_tensor) in enumerate( + zip(result_tensors, expected_tensors) + ): + assert isinstance(result_tensor, np.ndarray) + assert result_tensor.shape == expected_tensor.shape + assert result_tensor.dtype == expected_tensor.dtype + np.testing.assert_array_equal(result_tensor, expected_tensor) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_mixed_tensor_types_in_struct( + struct_with_mixed_tensor_types_blocks, struct_with_mixed_tensor_types_expected +): + """Test that the fix works for mixed tensor types in structs.""" + + t1, t2 = struct_with_mixed_tensor_types_blocks + + # This should work with our fix + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == struct_with_mixed_tensor_types_expected["length"] + + # Verify the result has the expected structure + assert t3.schema == struct_with_mixed_tensor_types_expected["schema"] + assert "id" in t3.column_names + assert "struct" in t3.column_names + + # Verify struct field contains both types of tensors + struct_data = t3.column("struct").to_pylist() + assert len(struct_data) == struct_with_mixed_tensor_types_expected["length"] + + expected_struct_values = struct_with_mixed_tensor_types_expected["struct_values"] + + # Verify struct values + for i, (struct_row, expected_values) in enumerate( + zip(struct_data, expected_struct_values) + ): + for key, expected_value in expected_values.items(): + assert struct_row[key] == expected_value + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_nested_struct_with_mixed_tensor_types( + nested_struct_with_mixed_tensor_types_blocks, + nested_struct_with_mixed_tensor_types_expected, +): + """Test nested structs with mixed tensor types at different levels.""" + + t1, t2 = nested_struct_with_mixed_tensor_types_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == nested_struct_with_mixed_tensor_types_expected["length"] + + # Verify the result has the expected structure + assert t3.schema == nested_struct_with_mixed_tensor_types_expected["schema"] + assert "id" in t3.column_names + assert "complex_struct" in t3.column_names + + # Verify nested struct field contains both types of tensors + struct_data = t3.column("complex_struct").to_pylist() + assert len(struct_data) == nested_struct_with_mixed_tensor_types_expected["length"] + + expected_fields = nested_struct_with_mixed_tensor_types_expected["expected_fields"] + + # Check that nested structures are preserved + for field in expected_fields: + if field in ["nested", "outer_tensor", "outer_value"]: + assert field in struct_data[0] + elif field in ["inner_tensor", "inner_value"]: + assert field in struct_data[0]["nested"] + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_multiple_tensor_fields_in_struct( + multiple_tensor_fields_struct_blocks, multiple_tensor_fields_struct_expected +): + """Test structs with multiple tensor fields of different types.""" + + t1, t2 = multiple_tensor_fields_struct_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == multiple_tensor_fields_struct_expected["length"] + + # Verify the result has the expected structure + assert t3.schema == multiple_tensor_fields_struct_expected["schema"] + assert "id" in t3.column_names + assert "multi_tensor_struct" in t3.column_names + + # Verify struct field contains both types of tensors + struct_data = t3.column("multi_tensor_struct").to_pylist() + assert len(struct_data) == multiple_tensor_fields_struct_expected["length"] + + expected_fields = multiple_tensor_fields_struct_expected["expected_fields"] + + # Check that all tensor fields are present + for row in struct_data: + for field in expected_fields: + assert field in row + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_struct_with_incompatible_tensor_dtypes_fails( + incompatible_tensor_dtypes_blocks, +): + """Test that concatenating structs with incompatible tensor dtypes fails gracefully.""" + + t1, t2 = incompatible_tensor_dtypes_blocks + + # This should fail because of incompatible tensor dtypes + with pytest.raises(pa.ArrowInvalid): + concat([t1, t2]) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_struct_with_additional_fields( + struct_with_additional_fields_blocks, struct_with_additional_fields_expected +): + """Test structs where some blocks have additional fields.""" + + t1, t2 = struct_with_additional_fields_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == struct_with_additional_fields_expected["length"] + + # Verify the result has the expected structure + assert t3.schema == struct_with_additional_fields_expected["schema"] + assert "id" in t3.column_names + assert "struct" in t3.column_names + + # Verify struct field contains both types of tensors + struct_data = t3.column("struct").to_pylist() + assert len(struct_data) == struct_with_additional_fields_expected["length"] + + field_presence = struct_with_additional_fields_expected["field_presence"] + extra_values = struct_with_additional_fields_expected["extra_values"] + + # Check field presence and values + for i, row in enumerate(struct_data): + for field, should_be_present in field_presence.items(): + assert (field in row) == should_be_present + + # Check extra field values + if "extra" in row: + assert row["extra"] == extra_values[i] + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) +def test_struct_with_null_tensor_values( + struct_with_null_tensor_values_blocks, struct_with_null_tensor_values_expected +): + """Test structs where some fields are missing and get filled with nulls.""" + + t1, t2 = struct_with_null_tensor_values_blocks + + t3 = concat([t1, t2]) + assert isinstance(t3, pa.Table) + assert len(t3) == struct_with_null_tensor_values_expected["length"] + + # Validate schema - should have both fields + assert t3.schema == struct_with_null_tensor_values_expected["schema"] + + # Validate result + assert t3.column("id").to_pylist() == struct_with_null_tensor_values_expected["ids"] + + # Check the struct column directly to avoid the Arrow tensor extension null bug + struct_column = t3.column("struct") + expected_values = struct_with_null_tensor_values_expected["values"] + expected_tensor_validity = struct_with_null_tensor_values_expected[ + "tensor_validity" + ] + + # Check each row + for i, (expected_value, expected_valid) in enumerate( + zip(expected_values, expected_tensor_validity) + ): + assert struct_column[i]["value"].as_py() == expected_value + + if expected_valid: + assert struct_column[i]["tensor"] is not None + else: + # Check that the tensor field is null by checking its validity + tensor_field = struct_column[i]["tensor"] + assert tensor_field.is_valid is False + + +# Test fixtures for _align_struct_fields tests +@pytest.fixture +def simple_struct_blocks(): + """Fixture for simple struct blocks with missing fields.""" + # Block 1: Struct with fields 'a' and 'b' + struct_data1 = [{"a": 1, "b": "x"}, {"a": 2, "b": "y"}] + + # Block 2: Struct with fields 'a' and 'c' (missing 'b', has 'c') + struct_data2 = [{"a": 3, "c": True}, {"a": 4, "c": False}] + + return _create_basic_struct_blocks( + struct_data1, struct_data2, id_data1=None, id_data2=None + ) + + +@pytest.fixture +def simple_struct_schema(): + """Fixture for simple struct schema with all fields.""" + struct_fields = [("a", pa.int64()), ("b", pa.string()), ("c", pa.bool_())] + return _create_struct_schema(struct_fields, include_id=False) + + +@pytest.fixture +def nested_struct_blocks(): + """Fixture for nested struct blocks with missing fields.""" + # Block 1: Nested struct with inner fields 'x' and 'y' + struct_data1 = [{"inner": {"x": 1, "y": "a"}}, {"inner": {"x": 2, "y": "b"}}] + + # Block 2: Nested struct with inner fields 'x' and 'z' (missing 'y', has 'z') + struct_data2 = [{"inner": {"x": 3, "z": 1.5}}, {"inner": {"x": 4, "z": 2.5}}] + + return _create_basic_struct_blocks( + struct_data1, struct_data2, column_name="outer", id_data1=None, id_data2=None + ) + + +@pytest.fixture +def nested_struct_schema(): + """Fixture for nested struct schema with all fields.""" + inner_fields = [("x", pa.int64()), ("y", pa.string()), ("z", pa.float64())] + struct_fields = [("inner", pa.struct(inner_fields))] + return _create_struct_schema( + struct_fields, + include_id=False, + other_fields=[("outer", pa.struct(struct_fields))], + ) + + +@pytest.fixture +def missing_column_blocks(): + """Fixture for blocks where one is missing a struct column entirely.""" + # Block 1: Has struct column + t1 = pa.table( + { + "struct": pa.array([{"a": 1, "b": "x"}, {"a": 2, "b": "y"}]), + "other": pa.array([10, 20]), + } + ) + + # Block 2: Missing struct column entirely + t2 = pa.table({"other": pa.array([30, 40])}) + + return t1, t2 + + +@pytest.fixture +def missing_column_schema(): + """Fixture for schema with struct column that may be missing.""" + return pa.schema( + [ + ("struct", pa.struct([("a", pa.int64()), ("b", pa.string())])), + ("other", pa.int64()), + ] + ) + + +@pytest.fixture +def multiple_struct_blocks(): + """Fixture for blocks with multiple struct columns.""" + # Block 1: Two struct columns with different field sets + struct1_data1 = [{"a": 1, "b": "x"}, {"a": 2, "b": "y"}] + struct2_data1 = [{"p": 10, "q": True}, {"p": 20, "q": False}] + + # Block 2: Same struct columns but with different/missing fields + struct1_data2 = [{"a": 3, "c": 1.5}, {"a": 4, "c": 2.5}] # missing 'b', has 'c' + struct2_data2 = [ + {"p": 30, "r": "alpha"}, + {"p": 40, "r": "beta"}, + ] # missing 'q', has 'r' + + t1 = pa.table( + { + "struct1": pa.array(struct1_data1), + "struct2": pa.array(struct2_data1), + } + ) + + t2 = pa.table( + { + "struct1": pa.array(struct1_data2), + "struct2": pa.array(struct2_data2), + } + ) + + return t1, t2 + + +@pytest.fixture +def multiple_struct_schema(): + """Fixture for schema with multiple struct columns.""" + struct1_fields = [("a", pa.int64()), ("b", pa.string()), ("c", pa.float64())] + struct2_fields = [("p", pa.int64()), ("q", pa.bool_()), ("r", pa.string())] + + return pa.schema( + [ + ("struct1", pa.struct(struct1_fields)), + ("struct2", pa.struct(struct2_fields)), + ] + ) + + +@pytest.fixture +def mixed_column_blocks(): + """Fixture for blocks with mix of struct and non-struct columns.""" + # Block 1: Mix of struct and non-struct columns + struct_data1 = [{"a": 1, "b": "x"}, {"a": 2, "b": "y"}] + int_col1 = [10, 20] + string_col1 = ["foo", "bar"] + + # Block 2: Same structure + struct_data2 = [{"a": 3, "c": True}, {"a": 4, "c": False}] # missing 'b', has 'c' + int_col2 = [30, 40] + string_col2 = ["baz", "qux"] + + t1 = pa.table( + { + "struct": pa.array(struct_data1), + "int_col": pa.array(int_col1), + "string_col": pa.array(string_col1), + } + ) + + t2 = pa.table( + { + "struct": pa.array(struct_data2), + "int_col": pa.array(int_col2), + "string_col": pa.array(string_col2), + } + ) + + return t1, t2 + + +@pytest.fixture +def mixed_column_schema(): + """Fixture for schema with mix of struct and non-struct columns.""" + struct_fields = [("a", pa.int64()), ("b", pa.string()), ("c", pa.bool_())] + + return pa.schema( + [ + ("struct", pa.struct(struct_fields)), + ("int_col", pa.int64()), + ("string_col", pa.string()), + ] + ) + + +@pytest.fixture +def empty_block_blocks(): + """Fixture for blocks where one is empty.""" + # Empty block + empty_struct_type = pa.struct([("a", pa.int64()), ("b", pa.string())]) + t1 = pa.table({"struct": pa.array([], type=empty_struct_type)}) + + # Non-empty block + struct_data2 = [{"a": 1, "c": True}, {"a": 2, "c": False}] # missing 'b', has 'c' + t2 = pa.table({"struct": pa.array(struct_data2)}) + + return t1, t2 + + +@pytest.fixture +def empty_block_schema(): + """Fixture for schema used with empty blocks.""" + struct_fields = [("a", pa.int64()), ("b", pa.string()), ("c", pa.bool_())] + return _create_struct_schema(struct_fields, include_id=False) + + +@pytest.fixture +def already_aligned_blocks(): + """Fixture for blocks that are already aligned.""" + # Both blocks have identical schemas + struct_data1 = [{"a": 1, "b": "x"}, {"a": 2, "b": "y"}] + struct_data2 = [{"a": 3, "b": "z"}, {"a": 4, "b": "w"}] + + return _create_basic_struct_blocks( + struct_data1, struct_data2, id_data1=None, id_data2=None + ) + + +@pytest.fixture +def already_aligned_schema(): + """Fixture for schema used with already aligned blocks.""" + struct_fields = [("a", pa.int64()), ("b", pa.string())] + return _create_struct_schema(struct_fields, include_id=False) + + +@pytest.fixture +def no_struct_blocks(): + """Fixture for blocks with no struct columns.""" + # Blocks with no struct columns + int_col1 = [1, 2] + string_col1 = ["a", "b"] + int_col2 = [3, 4] + string_col2 = ["c", "d"] + + t1 = pa.table({"int_col": pa.array(int_col1), "string_col": pa.array(string_col1)}) + t2 = pa.table({"int_col": pa.array(int_col2), "string_col": pa.array(string_col2)}) + + return t1, t2 + + +@pytest.fixture +def no_struct_schema(): + """Fixture for schema with no struct columns.""" + return pa.schema([("int_col", pa.int64()), ("string_col", pa.string())]) + + +@pytest.fixture +def deep_nesting_blocks(): + """Fixture for blocks with deeply nested structs.""" + # Block 1: Deeply nested struct + struct_data1 = [ + {"level2": {"level3": {"a": 1, "b": "x"}}}, + {"level2": {"level3": {"a": 2, "b": "y"}}}, + ] + + # Block 2: Same structure but missing some fields + struct_data2 = [ + {"level2": {"level3": {"a": 3, "c": True}}}, # missing 'b', has 'c' + {"level2": {"level3": {"a": 4, "c": False}}}, + ] + + return _create_basic_struct_blocks( + struct_data1, struct_data2, column_name="level1", id_data1=None, id_data2=None + ) + + +@pytest.fixture +def deep_nesting_schema(): + """Fixture for schema with deeply nested structs.""" + level3_fields = [("a", pa.int64()), ("b", pa.string()), ("c", pa.bool_())] + level2_fields = [("level3", pa.struct(level3_fields))] + level1_fields = [("level2", pa.struct(level2_fields))] + + return pa.schema([("level1", pa.struct(level1_fields))]) + + +def test_align_struct_fields_simple(simple_struct_blocks, simple_struct_schema): + """Test basic struct field alignment with missing fields.""" + t1, t2 = simple_struct_blocks + + aligned_blocks = _align_struct_fields([t1, t2], simple_struct_schema) + + assert len(aligned_blocks) == 2 + + # Check first block - should have 'c' field filled with None + result1 = aligned_blocks[0] + assert result1.schema == simple_struct_schema + assert result1["struct"].to_pylist() == [ + {"a": 1, "b": "x", "c": None}, + {"a": 2, "b": "y", "c": None}, + ] + + # Check second block - should have 'b' field filled with None + result2 = aligned_blocks[1] + assert result2.schema == simple_struct_schema + assert result2["struct"].to_pylist() == [ + {"a": 3, "b": None, "c": True}, + {"a": 4, "b": None, "c": False}, + ] + + +def test_align_struct_fields_nested(nested_struct_blocks, nested_struct_schema): + """Test nested struct field alignment.""" + t1, t2 = nested_struct_blocks + + aligned_blocks = _align_struct_fields([t1, t2], nested_struct_schema) + + assert len(aligned_blocks) == 2 + + # Check first block - should have 'z' field filled with None + result1 = aligned_blocks[0] + assert result1.schema == nested_struct_schema + assert result1["outer"].to_pylist() == [ + {"inner": {"x": 1, "y": "a", "z": None}}, + {"inner": {"x": 2, "y": "b", "z": None}}, + ] + + # Check second block - should have 'y' field filled with None + result2 = aligned_blocks[1] + assert result2.schema == nested_struct_schema + assert result2["outer"].to_pylist() == [ + {"inner": {"x": 3, "y": None, "z": 1.5}}, + {"inner": {"x": 4, "y": None, "z": 2.5}}, + ] + + +def test_align_struct_fields_missing_column( + missing_column_blocks, missing_column_schema +): + """Test alignment when a struct column is missing from some blocks.""" + t1, t2 = missing_column_blocks + + aligned_blocks = _align_struct_fields([t1, t2], missing_column_schema) + + assert len(aligned_blocks) == 2 + + # Check first block - should be unchanged + result1 = aligned_blocks[0] + assert result1.schema == missing_column_schema + assert result1["struct"].to_pylist() == [{"a": 1, "b": "x"}, {"a": 2, "b": "y"}] + assert result1["other"].to_pylist() == [10, 20] + + # Check second block - should have null struct column + result2 = aligned_blocks[1] + assert result2.schema == missing_column_schema + assert result2["struct"].to_pylist() == [None, None] + assert result2["other"].to_pylist() == [30, 40] + + +def test_align_struct_fields_multiple_structs( + multiple_struct_blocks, multiple_struct_schema +): + """Test alignment with multiple struct columns.""" + t1, t2 = multiple_struct_blocks + + aligned_blocks = _align_struct_fields([t1, t2], multiple_struct_schema) + + assert len(aligned_blocks) == 2 + + # Check first block + result1 = aligned_blocks[0] + assert result1.schema == multiple_struct_schema + assert result1["struct1"].to_pylist() == [ + {"a": 1, "b": "x", "c": None}, + {"a": 2, "b": "y", "c": None}, + ] + assert result1["struct2"].to_pylist() == [ + {"p": 10, "q": True, "r": None}, + {"p": 20, "q": False, "r": None}, + ] + + # Check second block + result2 = aligned_blocks[1] + assert result2.schema == multiple_struct_schema + assert result2["struct1"].to_pylist() == [ + {"a": 3, "b": None, "c": 1.5}, + {"a": 4, "b": None, "c": 2.5}, + ] + assert result2["struct2"].to_pylist() == [ + {"p": 30, "q": None, "r": "alpha"}, + {"p": 40, "q": None, "r": "beta"}, + ] + + +def test_align_struct_fields_non_struct_columns( + mixed_column_blocks, mixed_column_schema +): + """Test that non-struct columns are left unchanged.""" + t1, t2 = mixed_column_blocks + + aligned_blocks = _align_struct_fields([t1, t2], mixed_column_schema) + + assert len(aligned_blocks) == 2 + + # Check that non-struct columns are unchanged + for i, block in enumerate(aligned_blocks): + assert block["int_col"].to_pylist() == [10 + i * 20, 20 + i * 20] + assert ( + block["string_col"].to_pylist() == ["foo", "bar"] + if i == 0 + else ["baz", "qux"] + ) + + +def test_align_struct_fields_empty_blocks(empty_block_blocks, empty_block_schema): + """Test alignment with empty blocks.""" + t1, t2 = empty_block_blocks + + aligned_blocks = _align_struct_fields([t1, t2], empty_block_schema) + + assert len(aligned_blocks) == 2 + + # Check empty block + result1 = aligned_blocks[0] + assert result1.schema == empty_block_schema + assert len(result1) == 0 + + # Check non-empty block + result2 = aligned_blocks[1] + assert result2.schema == empty_block_schema + assert result2["struct"].to_pylist() == [ + {"a": 1, "b": None, "c": True}, + {"a": 2, "b": None, "c": False}, + ] + + +def test_align_struct_fields_already_aligned( + already_aligned_blocks, already_aligned_schema +): + """Test that already aligned blocks are returned unchanged.""" + t1, t2 = already_aligned_blocks + + aligned_blocks = _align_struct_fields([t1, t2], already_aligned_schema) + + # Should return the original blocks unchanged + assert aligned_blocks == [t1, t2] + + +def test_align_struct_fields_no_struct_columns(no_struct_blocks, no_struct_schema): + """Test alignment when there are no struct columns in the schema.""" + t1, t2 = no_struct_blocks + + aligned_blocks = _align_struct_fields([t1, t2], no_struct_schema) + + # Should return the original blocks unchanged + assert aligned_blocks == [t1, t2] + + +def test_align_struct_fields_deep_nesting(deep_nesting_blocks, deep_nesting_schema): + """Test alignment with deeply nested structs.""" + t1, t2 = deep_nesting_blocks + + aligned_blocks = _align_struct_fields([t1, t2], deep_nesting_schema) + + assert len(aligned_blocks) == 2 + + # Check first block - should have 'c' field filled with None + result1 = aligned_blocks[0] + assert result1.schema == deep_nesting_schema + assert result1["level1"].to_pylist() == [ + {"level2": {"level3": {"a": 1, "b": "x", "c": None}}}, + {"level2": {"level3": {"a": 2, "b": "y", "c": None}}}, + ] + + # Check second block - should have 'b' field filled with None + result2 = aligned_blocks[1] + assert result2.schema == deep_nesting_schema + assert result2["level1"].to_pylist() == [ + {"level2": {"level3": {"a": 3, "b": None, "c": True}}}, + {"level2": {"level3": {"a": 4, "b": None, "c": False}}}, + ] + + +# Test fixtures for tensor-related tests +@pytest.fixture +def uniform_tensor_blocks(): + """Fixture for uniform tensor blocks with same shape.""" + # Block 1: Fixed shape tensors (2x2) + a1 = np.arange(12).reshape((3, 2, 2)) + t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) + + # Block 2: Fixed shape tensors (2x2) + a2 = np.arange(12, 24).reshape((3, 2, 2)) + t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + + return t1, t2 + + +@pytest.fixture +def uniform_tensor_expected(): + """Fixture for expected results from uniform tensor concatenation.""" + if DataContext.get_current().use_arrow_tensor_v2: + tensor_type = ArrowTensorTypeV2 + else: + tensor_type = ArrowTensorType + + expected_schema = pa.schema([("a", tensor_type((2, 2), pa.int64()))]) + expected_length = 6 + expected_chunks = 2 + + # Expected content + a1 = np.arange(12).reshape((3, 2, 2)) + a2 = np.arange(12, 24).reshape((3, 2, 2)) + + return { + "schema": expected_schema, + "length": expected_length, + "chunks": expected_chunks, + "content": [a1, a2], + } + + +@pytest.fixture +def variable_shaped_tensor_blocks(): + """Fixture for variable-shaped tensor blocks.""" + # Block 1: Variable shape tensors + a1 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) + + # Block 2: Variable shape tensors + a2 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + + return t1, t2 + + +@pytest.fixture +def variable_shaped_tensor_expected(): + """Fixture for expected results from variable-shaped tensor concatenation.""" + expected_schema = pa.schema([("a", ArrowVariableShapedTensorType(pa.int64(), 2))]) + expected_length = 4 + expected_chunks = 2 + + # Expected content + a1 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + a2 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + + return { + "schema": expected_schema, + "length": expected_length, + "chunks": expected_chunks, + "content": [a1, a2], + } + + +@pytest.fixture +def mixed_tensor_blocks(): + """Fixture for mixed fixed-shape and variable-shaped tensor blocks.""" + # Block 1: Fixed shape tensors + a1 = np.arange(12).reshape((3, 2, 2)) + t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) + + # Block 2: Variable shape tensors + a2 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + + return t1, t2 + + +@pytest.fixture +def mixed_tensor_expected(): + """Fixture for expected results from mixed tensor concatenation.""" + expected_schema = pa.schema([("a", ArrowVariableShapedTensorType(pa.int64(), 2))]) + expected_length = 5 + expected_chunks = 2 + + # Expected content + a1 = np.arange(12).reshape((3, 2, 2)) + a2 = np.array( + [np.arange(4).reshape((2, 2)), np.arange(4, 13).reshape((3, 3))], dtype=object + ) + + return { + "schema": expected_schema, + "length": expected_length, + "chunks": expected_chunks, + "content": [a1, a2], + } + + +@pytest.fixture +def different_shape_tensor_blocks(): + """Fixture for tensor blocks with different fixed shapes.""" + # Block 1: Fixed shape tensors (2x2) + a1 = np.arange(12).reshape((3, 2, 2)) + t1 = pa.table({"a": ArrowTensorArray.from_numpy(a1)}) + + # Block 2: Fixed shape tensors (3x3) + a2 = np.arange(12, 39).reshape((3, 3, 3)) + t2 = pa.table({"a": ArrowTensorArray.from_numpy(a2)}) + + return t1, t2 + + +@pytest.fixture +def different_shape_tensor_expected(): + """Fixture for expected results from different shape tensor concatenation.""" + expected_schema = pa.schema([("a", ArrowVariableShapedTensorType(pa.int64(), 2))]) + expected_length = 6 + expected_chunks = 2 + + # Expected content + a1 = np.arange(12).reshape((3, 2, 2)) + a2 = np.arange(12, 39).reshape((3, 3, 3)) + + return { + "schema": expected_schema, + "length": expected_length, + "chunks": expected_chunks, + "content": [a1, a2], + } + + +@pytest.fixture +def mixed_tensor_types_same_dtype_blocks(): + """Fixture for mixed tensor types with same dtype but different shapes.""" + # Block 1: Fixed shape tensors with float32 + tensor_data1 = np.ones((2, 2), dtype=np.float32) + + # Block 2: Variable shape tensors with float32 + tensor_data2 = np.array( + [ + np.ones((3, 3), dtype=np.float32), + np.zeros((1, 4), dtype=np.float32), + ], + dtype=object, + ) + + return _create_tensor_blocks(tensor_data1, tensor_data2, "fixed", "variable") + + +@pytest.fixture +def mixed_tensor_types_same_dtype_expected(): + """Fixture for expected results from mixed tensor types with same dtype.""" + expected_schema = _create_tensor_schema(struct_name="tensor") + expected_tensors = [ + np.ones((2,), dtype=np.float32), # First 2 converted to variable-shaped + np.ones((2,), dtype=np.float32), + np.ones((3, 3), dtype=np.float32), # Last 2 variable-shaped + np.zeros((1, 4), dtype=np.float32), + ] + + return _create_expected_result(expected_schema, 4, tensor_values=expected_tensors) + + +@pytest.fixture +def mixed_tensor_types_fixed_shape_blocks(): + """Fixture for mixed tensor types with different fixed shapes.""" + # Block 1: Fixed shape tensors (2x2) + tensor_data1 = np.ones((2, 2), dtype=np.float32) + + # Block 2: Fixed shape tensors (3x3) + tensor_data2 = np.zeros((3, 3), dtype=np.float32) + + return _create_tensor_blocks( + tensor_data1, tensor_data2, "fixed", "fixed", id_data2=[3, 4, 5] + ) + + +@pytest.fixture +def mixed_tensor_types_fixed_shape_expected(): + """Fixture for expected results from mixed tensor types with different fixed shapes.""" + expected_schema = _create_tensor_schema(struct_name="tensor") + expected_tensors = [ + np.ones((2,), dtype=np.float32), # First 2 converted to variable-shaped + np.ones((2,), dtype=np.float32), + np.zeros((3,), dtype=np.float32), # Last 3 variable-shaped + np.zeros((3,), dtype=np.float32), + np.zeros((3,), dtype=np.float32), + ] + + return _create_expected_result(expected_schema, 5, tensor_values=expected_tensors) + + +@pytest.fixture +def mixed_tensor_types_variable_shaped_blocks(): + """Fixture for mixed tensor types with variable-shaped tensors.""" + # Block 1: Variable shape tensors + tensor_data1 = np.array( + [ + np.ones((2, 2), dtype=np.float32), + np.zeros((3, 3), dtype=np.float32), + ], + dtype=object, + ) + + # Block 2: Variable shape tensors with different shapes + tensor_data2 = np.array( + [ + np.ones((1, 4), dtype=np.float32), + np.zeros((2, 1), dtype=np.float32), + ], + dtype=object, + ) + + return _create_tensor_blocks(tensor_data1, tensor_data2, "variable", "variable") + + +@pytest.fixture +def mixed_tensor_types_variable_shaped_expected(): + """Fixture for expected results from mixed variable-shaped tensor types.""" + expected_schema = _create_tensor_schema(struct_name="tensor") + expected_tensors = [ + np.ones((2, 2), dtype=np.float32), + np.zeros((3, 3), dtype=np.float32), + np.ones((1, 4), dtype=np.float32), + np.zeros((2, 1), dtype=np.float32), + ] + + return _create_expected_result(expected_schema, 4, tensor_values=expected_tensors) + + +@pytest.fixture +def struct_with_mixed_tensor_types_blocks(): + """Fixture for struct blocks with mixed tensor types.""" + # Block 1: Struct with fixed-shape tensor + tensor_data1 = np.ones((2, 2), dtype=np.float32) + + # Block 2: Struct with variable-shaped tensor + tensor_data2 = np.array( + [ + np.ones((3, 3), dtype=np.float32), + np.zeros((1, 4), dtype=np.float32), + ], + dtype=object, + ) + + return _create_struct_tensor_blocks(tensor_data1, tensor_data2, "fixed", "variable") + + +@pytest.fixture +def struct_with_mixed_tensor_types_expected(): + """Fixture for expected results from struct with mixed tensor types.""" + expected_schema = _create_tensor_schema(struct_name="struct") + expected_struct_values = [ + {"value": 1}, # First two from fixed-shape tensor struct + {"value": 2}, + {"value": 3}, # Last two from variable-shaped tensor struct + {"value": 4}, + ] + + return _create_expected_result( + expected_schema, 4, struct_values=expected_struct_values + ) + + +@pytest.fixture +def nested_struct_with_mixed_tensor_types_blocks(): + """Fixture for nested struct blocks with mixed tensor types.""" + # Block 1: Nested struct with fixed-shape tensors + tensor_data1 = np.ones((2, 2), dtype=np.float32) + tensor_array1 = _create_tensor_array(tensor_data1, "fixed") + inner_struct1 = pa.StructArray.from_arrays( + [tensor_array1, pa.array([10, 20], type=pa.int64())], + names=["inner_tensor", "inner_value"], + ) + outer_tensor1 = _create_tensor_array(np.zeros((2, 1), dtype=np.float32), "fixed") + outer_struct1 = pa.StructArray.from_arrays( + [inner_struct1, outer_tensor1, pa.array([1, 2], type=pa.int64())], + names=["nested", "outer_tensor", "outer_value"], + ) + t1 = pa.table({"id": [1, 2], "complex_struct": outer_struct1}) + + # Block 2: Nested struct with variable-shaped tensors + tensor_data2 = np.array( + [ + np.ones((3, 3), dtype=np.float32), + np.zeros((1, 4), dtype=np.float32), + ], + dtype=object, + ) + tensor_array2 = _create_tensor_array(tensor_data2, "variable") + inner_struct2 = pa.StructArray.from_arrays( + [tensor_array2, pa.array([30, 40], type=pa.int64())], + names=["inner_tensor", "inner_value"], + ) + outer_tensor2 = _create_tensor_array( + np.array( + [np.ones((2, 2), dtype=np.float32), np.zeros((1, 3), dtype=np.float32)], + dtype=object, + ), + "variable", + ) + outer_struct2 = pa.StructArray.from_arrays( + [inner_struct2, outer_tensor2, pa.array([3, 4], type=pa.int64())], + names=["nested", "outer_tensor", "outer_value"], + ) + t2 = pa.table({"id": [3, 4], "complex_struct": outer_struct2}) + + return t1, t2 + + +@pytest.fixture +def nested_struct_with_mixed_tensor_types_expected(): + """Fixture for expected results from nested struct with mixed tensor types.""" + expected_schema = pa.schema( + [ + ("id", pa.int64()), + ( + "complex_struct", + pa.struct( + [ + ( + "nested", + pa.struct( + [ + ( + "inner_tensor", + ArrowVariableShapedTensorType(pa.float32(), 2), + ), + ("inner_value", pa.int64()), + ] + ), + ), + ( + "outer_tensor", + ArrowVariableShapedTensorType(pa.float32(), 2), + ), + ("outer_value", pa.int64()), + ] + ), + ), + ] + ) + expected_fields = [ + "nested", + "outer_tensor", + "outer_value", + "inner_tensor", + "inner_value", + ] + + return _create_expected_result(expected_schema, 4, expected_fields=expected_fields) + + +@pytest.fixture +def multiple_tensor_fields_struct_blocks(): + """Fixture for struct blocks with multiple tensor fields.""" + # Block 1: Struct with multiple fixed-shape tensors + tensor1_data = np.ones((2, 2), dtype=np.float32) + tensor1_array = _create_tensor_array(tensor1_data, "fixed") + tensor2_data = np.zeros((2, 3), dtype=np.int32) + tensor2_array = _create_tensor_array(tensor2_data, "fixed") + struct_array1 = pa.StructArray.from_arrays( + [tensor1_array, tensor2_array, pa.array([1, 2], type=pa.int64())], + names=["tensor1", "tensor2", "value"], + ) + t1 = pa.table({"id": [1, 2], "multi_tensor_struct": struct_array1}) + + # Block 2: Struct with multiple variable-shaped tensors + tensor1_data2 = np.array( + [ + np.ones((3, 3), dtype=np.float32), + np.zeros((1, 4), dtype=np.float32), + ], + dtype=object, + ) + tensor1_array2 = _create_tensor_array(tensor1_data2, "variable") + tensor2_data2 = np.array( + [ + np.ones((2, 2), dtype=np.int32), + np.zeros((3, 1), dtype=np.int32), + ], + dtype=object, + ) + tensor2_array2 = _create_tensor_array(tensor2_data2, "variable") + struct_array2 = pa.StructArray.from_arrays( + [tensor1_array2, tensor2_array2, pa.array([3, 4], type=pa.int64())], + names=["tensor1", "tensor2", "value"], + ) + t2 = pa.table({"id": [3, 4], "multi_tensor_struct": struct_array2}) + + return t1, t2 + + +@pytest.fixture +def multiple_tensor_fields_struct_expected(): + """Fixture for expected results from struct with multiple tensor fields.""" + expected_schema = pa.schema( + [ + ("id", pa.int64()), + ( + "multi_tensor_struct", + pa.struct( + [ + ("tensor1", ArrowVariableShapedTensorType(pa.float32(), 2)), + ("tensor2", ArrowVariableShapedTensorType(pa.int32(), 2)), + ("value", pa.int64()), + ] + ), + ), + ] + ) + expected_fields = ["tensor1", "tensor2", "value"] + + return _create_expected_result(expected_schema, 4, expected_fields=expected_fields) + + +@pytest.fixture +def incompatible_tensor_dtypes_blocks(): + """Fixture for struct blocks with incompatible tensor dtypes.""" + # Block 1: Struct with float32 fixed-shape tensor + tensor_data1 = np.ones((2, 2), dtype=np.float32) + + # Block 2: Struct with int64 variable-shaped tensor (different dtype) + tensor_data2 = np.array( + [ + np.ones((3, 3), dtype=np.int64), + np.zeros((1, 4), dtype=np.int64), + ], + dtype=object, + ) + + return _create_struct_tensor_blocks(tensor_data1, tensor_data2, "fixed", "variable") + + +@pytest.fixture +def struct_with_additional_fields_blocks(): + """Fixture for struct blocks where some have additional fields.""" + # Block 1: Struct with tensor field and basic fields + tensor_data1 = np.ones((2, 2), dtype=np.float32) + + # Block 2: Struct with tensor field and additional fields + tensor_data2 = np.array( + [ + np.ones((3, 3), dtype=np.float32), + np.zeros((1, 4), dtype=np.float32), + ], + dtype=object, + ) + + return _create_struct_tensor_blocks( + tensor_data1, tensor_data2, "fixed", "variable", extra_data2=["a", "b"] + ) + + +@pytest.fixture +def struct_with_additional_fields_expected(): + """Fixture for expected results from struct with additional fields.""" + expected_schema = _create_tensor_schema(struct_name="struct", include_extra=True) + expected_field_presence = {"tensor": True, "value": True, "extra": True} + expected_extra_values = [None, None, "a", "b"] + + return _create_expected_result( + expected_schema, + 4, + field_presence=expected_field_presence, + extra_values=expected_extra_values, + ) + + +@pytest.fixture +def struct_with_null_tensor_values_blocks(): + """Fixture for struct blocks where some fields are missing and get filled with nulls.""" + # Block 1: Struct with tensor and value fields + tensor_data1 = np.ones((2, 2), dtype=np.float32) + tensor_array1 = ArrowTensorArray.from_numpy(tensor_data1) + value_array1 = pa.array([1, 2], type=pa.int64()) + struct_array1 = pa.StructArray.from_arrays( + [tensor_array1, value_array1], names=["tensor", "value"] + ) + t1 = pa.table({"id": [1, 2], "struct": struct_array1}) + + # Block 2: Struct with only value field (missing tensor field) + value_array2 = pa.array([3], type=pa.int64()) + struct_array2 = pa.StructArray.from_arrays([value_array2], names=["value"]) + t2 = pa.table({"id": [3], "struct": struct_array2}) + + return t1, t2 + + +@pytest.fixture +def struct_with_null_tensor_values_expected(): + """Fixture for expected results from struct with null tensor values.""" + expected_schema = pa.schema( + [ + ("id", pa.int64()), + ( + "struct", + pa.struct( + [ + ("tensor", ArrowVariableShapedTensorType(pa.float32(), 2)), + ("value", pa.int64()), + ] + ), + ), + ] + ) + expected_length = 3 + expected_ids = [1, 2, 3] + + # Expected value field values + expected_values = [1, 2, 3] + + # Expected tensor field validity + expected_tensor_validity = [True, True, False] + + return { + "schema": expected_schema, + "length": expected_length, + "ids": expected_ids, + "values": expected_values, + "tensor_validity": expected_tensor_validity, + } + + +@pytest.fixture +def basic_concat_blocks(): + """Fixture for basic concat test data.""" + t1 = pa.table({"a": [1, 2], "b": [5, 6]}) + t2 = pa.table({"a": [3, 4], "b": [7, 8]}) + return [t1, t2] + + +@pytest.fixture +def basic_concat_expected(): + """Fixture for basic concat expected results.""" + return { + "length": 4, + "column_names": ["a", "b"], + "schema_types": [pa.int64(), pa.int64()], + "chunks": 2, + "content": {"a": [1, 2, 3, 4], "b": [5, 6, 7, 8]}, + } + + +@pytest.fixture +def null_promotion_blocks(): + """Fixture for null promotion test data.""" + t1 = pa.table({"a": [None, None], "b": [5, 6]}) + t2 = pa.table({"a": [3, 4], "b": [None, None]}) + return [t1, t2] + + +@pytest.fixture +def null_promotion_expected(): + """Fixture for null promotion expected results.""" + return { + "length": 4, + "column_names": ["a", "b"], + "schema_types": [pa.int64(), pa.int64()], + "chunks": 2, + "content": {"a": [None, None, 3, 4], "b": [5, 6, None, None]}, + } + + +@pytest.fixture +def struct_different_field_names_blocks(): + """Fixture for struct with different field names test data.""" + struct_data1 = [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}] + struct_data2 = [{"x": 3, "z": "c"}] + + struct_type1 = pa.struct([("x", pa.int32()), ("y", pa.string())]) + struct_type2 = pa.struct([("x", pa.int32()), ("z", pa.string())]) + + additional_columns1 = {"a": [1, 2]} + additional_columns2 = {"a": [3]} + + return _create_struct_blocks_with_columns( + struct_data1, + struct_data2, + struct_type1, + struct_type2, + additional_columns1, + additional_columns2, + ) + + +@pytest.fixture +def struct_different_field_names_expected(): + """Fixture for struct with different field names expected results.""" + field_names = ["x", "y", "z"] + field_types = [pa.int32(), pa.string(), pa.string()] + additional_fields = [("a", pa.int64())] + + schema = _create_simple_struct_schema(field_names, field_types, additional_fields) + + content = { + "a": [1, 2, 3], + "d": [ + {"x": 1, "y": "a", "z": None}, + {"x": 2, "y": "b", "z": None}, + {"x": 3, "y": None, "z": "c"}, + ], + } + + return _create_struct_expected_result(schema, 3, content) + + +@pytest.fixture +def nested_structs_blocks(): + """Fixture for nested structs test data.""" + t1 = pa.table( + { + "a": [1], + "d": pa.array( + [ + { + "x": { + "y": {"p": 1}, # Missing "q" + "z": {"m": 3}, # Missing "n" + }, + "w": 5, + } + ], + type=pa.struct( + [ + ( + "x", + pa.struct( + [ + ( + "y", + pa.struct([("p", pa.int32())]), # Only "p" + ), + ( + "z", + pa.struct([("m", pa.int32())]), # Only "m" + ), + ] + ), + ), + ("w", pa.int32()), + ] + ), + ), + } + ) + t2 = pa.table( + { + "a": [2], + "d": pa.array( + [ + { + "x": { + "y": {"q": 7}, # Missing "p" + "z": {"n": 9}, # Missing "m" + }, + "w": 10, + } + ], + type=pa.struct( + [ + ( + "x", + pa.struct( + [ + ( + "y", + pa.struct([("q", pa.int32())]), # Only "q" + ), + ( + "z", + pa.struct([("n", pa.int32())]), # Only "n" + ), + ] + ), + ), + ("w", pa.int32()), + ] + ), + ), + } + ) + return [t1, t2] + + +@pytest.fixture +def nested_structs_expected(): + """Fixture for nested structs expected results.""" + return { + "length": 2, + "schema": pa.schema( + [ + ("a", pa.int64()), + ( + "d", + pa.struct( + [ + ( + "x", + pa.struct( + [ + ( + "y", + pa.struct( + [("p", pa.int32()), ("q", pa.int32())] + ), + ), + ( + "z", + pa.struct( + [("m", pa.int32()), ("n", pa.int32())] + ), + ), + ] + ), + ), + ("w", pa.int32()), + ] + ), + ), + ] + ), + "content": { + "a": [1, 2], + "d": [ + { + "x": { + "y": {"p": 1, "q": None}, # Missing "q" filled with None + "z": {"m": 3, "n": None}, # Missing "n" filled with None + }, + "w": 5, + }, + { + "x": { + "y": {"p": None, "q": 7}, # Missing "p" filled with None + "z": {"m": None, "n": 9}, # Missing "m" filled with None + }, + "w": 10, + }, + ], + }, + } + + +@pytest.fixture +def struct_null_values_blocks(): + """Fixture for struct with null values test data.""" + struct_data1 = [{"x": 1, "y": "a"}, None] # Second row is null + struct_data2 = [None] # Entire struct is null + + field_names = ["x", "y"] + field_types = [pa.int32(), pa.string()] + additional_columns1 = {"a": [1, 2]} + additional_columns2 = {"a": [3]} + + return _create_simple_struct_blocks( + struct_data1, + struct_data2, + field_names, + field_types, + additional_columns1, + additional_columns2, + ) + + +@pytest.fixture +def struct_null_values_expected(): + """Fixture for struct with null values expected results.""" + field_names = ["x", "y"] + field_types = [pa.int32(), pa.string()] + additional_fields = [("a", pa.int64())] + + schema = _create_simple_struct_schema(field_names, field_types, additional_fields) + + content = { + "a": [1, 2, 3], + "d": [ + {"x": 1, "y": "a"}, + None, # Entire struct is None, not {"x": None, "y": None} + None, # Entire struct is None, not {"x": None, "y": None} + ], + } + + return _create_struct_expected_result(schema, 3, content) + + +@pytest.fixture +def struct_mismatched_lengths_blocks(): + """Fixture for struct with mismatched lengths test data.""" + struct_data1 = [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}] + struct_data2 = [{"x": 3, "y": "c"}] + + field_names = ["x", "y"] + field_types = [pa.int32(), pa.string()] + additional_columns1 = {"a": [1, 2]} + additional_columns2 = {"a": [3]} + + return _create_simple_struct_blocks( + struct_data1, + struct_data2, + field_names, + field_types, + additional_columns1, + additional_columns2, + ) + + +@pytest.fixture +def struct_mismatched_lengths_expected(): + """Fixture for struct with mismatched lengths expected results.""" + field_names = ["x", "y"] + field_types = [pa.int32(), pa.string()] + additional_fields = [("a", pa.int64())] + + schema = _create_simple_struct_schema(field_names, field_types, additional_fields) + + content = { + "a": [1, 2, 3], + "d": [ + {"x": 1, "y": "a"}, + {"x": 2, "y": "b"}, + {"x": 3, "y": "c"}, + ], + } + + return _create_struct_expected_result(schema, 3, content) + + +@pytest.fixture +def struct_empty_arrays_blocks(): + """Fixture for struct with empty arrays test data.""" + struct_data1 = [{"x": 1, "y": "a"}, {"x": 2, "y": "b"}] + + # Define the second table with null struct value (empty arrays for fields) + x_array = pa.array([None], type=pa.int32()) + y_array = pa.array([None], type=pa.string()) + + # Create a struct array from null field arrays + null_struct_array = pa.StructArray.from_arrays( + [x_array, y_array], + ["x", "y"], + mask=pa.array([True]), + ) + + t1 = pa.table( + { + "a": [1, 2], + "d": pa.array( + struct_data1, type=pa.struct([("x", pa.int32()), ("y", pa.string())]) + ), + } + ) + + t2 = pa.table({"a": [3], "d": null_struct_array}) + return [t1, t2] + + +@pytest.fixture +def struct_empty_arrays_expected(): + """Fixture for struct with empty arrays expected results.""" + field_names = ["x", "y"] + field_types = [pa.int32(), pa.string()] + additional_fields = [("a", pa.int64())] + + schema = _create_simple_struct_schema(field_names, field_types, additional_fields) + + content = { + "a": [1, 2, 3], + "d": [ + {"x": 1, "y": "a"}, + {"x": 2, "y": "b"}, + None, # Entire struct is None, as PyArrow handles it + ], + } + + return _create_struct_expected_result(schema, 3, content) + + +@pytest.fixture +def unify_schemas_basic_schemas(): + """Fixture for basic unify schemas test data.""" + tensor_arr_1 = pa.schema([("tensor_arr", ArrowTensorType((3, 5), pa.int32()))]) + tensor_arr_2 = pa.schema([("tensor_arr", ArrowTensorType((2, 1), pa.int32()))]) + tensor_arr_3 = pa.schema([("tensor_arr", ArrowTensorType((3, 5), pa.int32()))]) + var_tensor_arr = pa.schema( + [ + ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 2)), + ] + ) + var_tensor_arr_1d = pa.schema( + [ + ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 1)), + ] + ) + var_tensor_arr_3d = pa.schema( + [ + ("tensor_arr", ArrowVariableShapedTensorType(pa.int32(), 3)), + ] + ) + return { + "tensor_arr_1": tensor_arr_1, + "tensor_arr_2": tensor_arr_2, + "tensor_arr_3": tensor_arr_3, + "var_tensor_arr": var_tensor_arr, + "var_tensor_arr_1d": var_tensor_arr_1d, + "var_tensor_arr_3d": var_tensor_arr_3d, + } + + +@pytest.fixture +def unify_schemas_multicol_schemas(): + """Fixture for multi-column unify schemas test data.""" + multicol_schema_1 = pa.schema( + [ + ("col_int", pa.int32()), + ("col_fixed_tensor", ArrowTensorType((4, 2), pa.int32())), + ("col_var_tensor", ArrowVariableShapedTensorType(pa.int16(), 5)), + ] + ) + multicol_schema_2 = pa.schema( + [ + ("col_int", pa.int32()), + ("col_fixed_tensor", ArrowTensorType((4, 2), pa.int32())), + ("col_var_tensor", ArrowTensorType((9, 4, 1, 0, 5), pa.int16())), + ] + ) + multicol_schema_3 = pa.schema( + [ + ("col_int", pa.int32()), + ("col_fixed_tensor", ArrowVariableShapedTensorType(pa.int32(), 3)), + ("col_var_tensor", ArrowVariableShapedTensorType(pa.int16(), 5)), + ] + ) + return { + "multicol_schema_1": multicol_schema_1, + "multicol_schema_2": multicol_schema_2, + "multicol_schema_3": multicol_schema_3, + } + + +@pytest.fixture +def object_concat_blocks(): + """Fixture for object concat test data.""" + obj = types.SimpleNamespace(a=1, b="test") + t1 = pa.table({"a": [3, 4], "b": [7, 8]}) + t2 = pa.table({"a": ArrowPythonObjectArray.from_objects([obj, obj]), "b": [0, 1]}) + return [t1, t2] + + +@pytest.fixture +def object_concat_expected(): + """Fixture for object concat expected results.""" + obj = types.SimpleNamespace(a=1, b="test") + return { + "length": 4, + "a_type": ArrowPythonObjectType, + "b_type": pa.types.is_integer, + "content": {"a": [3, 4, obj, obj], "b": [7, 8, 0, 1]}, + } + + +@pytest.fixture +def struct_variable_shaped_tensor_blocks(): + """Fixture for struct with variable shaped tensor test data.""" + # Create variable-shaped tensor data for the first table + tensor_data1 = np.array( + [ + np.ones((2, 2), dtype=np.float32), + np.zeros((3, 3), dtype=np.float32), + ], + dtype=object, + ) + tensor_array1 = ArrowVariableShapedTensorArray.from_numpy(tensor_data1) + + # Create struct data with tensor field for the first table + metadata_array1 = pa.array(["row1", "row2"]) + struct_array1 = pa.StructArray.from_arrays( + [metadata_array1, tensor_array1], names=["metadata", "tensor"] + ) + + t1 = pa.table({"id": [1, 2], "struct_with_tensor": struct_array1}) + + # Create variable-shaped tensor data for the second table + tensor_data2 = np.array( + [ + np.ones((1, 4), dtype=np.float32), + np.zeros((2, 1), dtype=np.float32), + ], + dtype=object, + ) + tensor_array2 = ArrowVariableShapedTensorArray.from_numpy(tensor_data2) + + # Create struct data with tensor field for the second table + metadata_array2 = pa.array(["row3", "row4"]) + struct_array2 = pa.StructArray.from_arrays( + [metadata_array2, tensor_array2], names=["metadata", "tensor"] + ) + + t2 = pa.table({"id": [3, 4], "struct_with_tensor": struct_array2}) + return [t1, t2] + + +@pytest.fixture +def struct_variable_shaped_tensor_expected(): + """Fixture for struct with variable shaped tensor expected results.""" + return { + "length": 4, + "schema": pa.schema( + [ + ("id", pa.int64()), + ( + "struct_with_tensor", + pa.struct( + [ + ("metadata", pa.string()), + ("tensor", ArrowVariableShapedTensorType(pa.float32(), 2)), + ] + ), + ), + ] + ), + "content": {"id": [1, 2, 3, 4]}, + } + + +@pytest.fixture +def unify_schemas_null_typed_lists_schemas(): + """Fixture for null typed lists unify schemas test data.""" + schema1 = pa.schema([("list_col", pa.list_(pa.null()))]) + schema2 = pa.schema([("list_col", pa.list_(pa.int32()))]) + schema3 = pa.schema([("list_col", pa.list_(pa.string()))]) + return { + "null_list": schema1, + "int_list": schema2, + "string_list": schema3, + "expected": pa.schema([("list_col", pa.list_(pa.int32()))]), + } + + +@pytest.fixture +def unify_schemas_object_types_schemas(): + """Fixture for object types unify schemas test data.""" + from ray.air.util.object_extensions.arrow import ArrowPythonObjectType + + schema1 = pa.schema([("obj_col", ArrowPythonObjectType())]) + schema2 = pa.schema([("obj_col", pa.int32())]) + schema3 = pa.schema([("obj_col", pa.float64())]) + expected = pa.schema([("obj_col", ArrowPythonObjectType())]) + + return { + "object_schema": schema1, + "int_schema": schema2, + "float_schema": schema3, + "expected": expected, + } + + +@pytest.fixture +def unify_schemas_duplicate_fields_schema(): + """Fixture for duplicate fields unify schemas test data.""" + return pa.schema([("col", pa.int32()), ("col", pa.int64())]) # Duplicate name + + +@pytest.fixture +def unify_schemas_incompatible_tensor_schemas(): + """Fixture for incompatible tensor dtypes unify schemas test data.""" + schema1 = pa.schema([("tensor", ArrowTensorType((2, 2), pa.int32()))]) + schema2 = pa.schema([("tensor", ArrowTensorType((2, 2), pa.float32()))]) + return [schema1, schema2] + + +@pytest.fixture +def unify_schemas_objects_and_tensors_schemas(): + """Fixture for objects and tensors unify schemas test data.""" + from ray.air.util.object_extensions.arrow import ArrowPythonObjectType + + schema1 = pa.schema([("col", ArrowPythonObjectType())]) + schema2 = pa.schema([("col", ArrowTensorType((2, 2), pa.int32()))]) + return [schema1, schema2] + + +@pytest.fixture +def unify_schemas_missing_tensor_fields_schemas(): + """Fixture for missing tensor fields unify schemas test data.""" + schema1 = pa.schema( + [ + ( + "struct", + pa.struct( + [ + ("tensor", ArrowTensorType((2, 2), pa.int32())), + ("value", pa.int64()), + ] + ), + ) + ] + ) + schema2 = pa.schema( + [("struct", pa.struct([("value", pa.int64())]))] # Missing tensor field + ) + expected = pa.schema( + [ + ( + "struct", + pa.struct( + [ + ("tensor", ArrowVariableShapedTensorType(pa.int32(), 2)), + ("value", pa.int64()), + ] + ), + ) + ] + ) + return {"with_tensor": schema1, "without_tensor": schema2, "expected": expected} + + +@pytest.fixture +def unify_schemas_nested_struct_tensors_schemas(): + """Fixture for nested struct tensors unify schemas test data.""" + schema1 = pa.schema( + [ + ( + "outer", + pa.struct( + [ + ( + "inner", + pa.struct( + [ + ("tensor", ArrowTensorType((3, 3), pa.float32())), + ("data", pa.string()), + ] + ), + ), + ("id", pa.int64()), + ] + ), + ) + ] + ) + schema2 = pa.schema( + [ + ( + "outer", + pa.struct( + [ + ( + "inner", + pa.struct([("data", pa.string())]), # Missing tensor field + ), + ("id", pa.int64()), + ] + ), + ) + ] + ) + expected = pa.schema( + [ + ( + "outer", + pa.struct( + [ + ( + "inner", + pa.struct( + [ + ( + "tensor", + ArrowVariableShapedTensorType(pa.float32(), 2), + ), + ("data", pa.string()), + ] + ), + ), + ("id", pa.int64()), + ] + ), + ) + ] + ) + return {"with_tensor": schema1, "without_tensor": schema2, "expected": expected} + + +@pytest.fixture +def object_with_tensor_fails_blocks(): + """Blocks that should fail when concatenating objects with tensors.""" + obj = types.SimpleNamespace(a=1, b="test") + t1 = pa.table({"a": ArrowPythonObjectArray.from_objects([obj, obj])}) + # Create tensor array with proper extension type + tensor_array = ArrowTensorArray.from_numpy(np.array([[1, 2], [3, 4]])) + t2 = pa.table({"a": tensor_array}) + return [t1, t2] + + +@pytest.fixture +def simple_concat_data(): + """Test data for simple concat operations.""" + return {"empty": [], "single_block": pa.table({"a": [1, 2]})} + + +# Helper function for creating tensor arrays +def _create_tensor_array(data, tensor_type="fixed"): + """Helper function to create tensor arrays with consistent patterns.""" + if tensor_type == "fixed": + return ArrowTensorArray.from_numpy(data) + elif tensor_type == "variable": + return ArrowVariableShapedTensorArray.from_numpy(data) + else: + raise ValueError(f"Unknown tensor type: {tensor_type}") + + +# Helper function for creating expected results +def _create_expected_result(schema, length, **kwargs): + """Helper function to create expected result dictionaries.""" + result = {"schema": schema, "length": length} + result.update(kwargs) + return result + + +# Helper function for creating tensor blocks +def _create_tensor_blocks( + tensor_data1, + tensor_data2, + tensor_type1="fixed", + tensor_type2="variable", + id_data1=None, + id_data2=None, + column_name="tensor", +): + """Helper function to create tensor blocks with consistent patterns.""" + if id_data1 is None: + id_data1 = [1, 2] + if id_data2 is None: + id_data2 = [3, 4] + + tensor_array1 = _create_tensor_array(tensor_data1, tensor_type1) + tensor_array2 = _create_tensor_array(tensor_data2, tensor_type2) + + t1 = pa.table({"id": id_data1, column_name: tensor_array1}) + t2 = pa.table({"id": id_data2, column_name: tensor_array2}) + + return t1, t2 + + +# Helper function for creating struct blocks with tensors +def _create_struct_tensor_blocks( + tensor_data1, + tensor_data2, + tensor_type1="fixed", + tensor_type2="variable", + value_data1=None, + value_data2=None, + extra_data2=None, + struct_name="struct", + id_data1=None, + id_data2=None, +): + """Helper function to create struct blocks with tensor fields.""" + if value_data1 is None: + value_data1 = [1, 2] + if value_data2 is None: + value_data2 = [3, 4] + if id_data1 is None: + id_data1 = [1, 2] + if id_data2 is None: + id_data2 = [3, 4] + + tensor_array1 = _create_tensor_array(tensor_data1, tensor_type1) + tensor_array2 = _create_tensor_array(tensor_data2, tensor_type2) + + value_array1 = pa.array(value_data1, type=pa.int64()) + value_array2 = pa.array(value_data2, type=pa.int64()) + + if extra_data2 is not None: + extra_array2 = pa.array(extra_data2, type=pa.string()) + struct_array1 = pa.StructArray.from_arrays( + [tensor_array1, value_array1], names=["tensor", "value"] + ) + struct_array2 = pa.StructArray.from_arrays( + [tensor_array2, value_array2, extra_array2], + names=["tensor", "value", "extra"], + ) + else: + struct_array1 = pa.StructArray.from_arrays( + [tensor_array1, value_array1], names=["tensor", "value"] + ) + struct_array2 = pa.StructArray.from_arrays( + [tensor_array2, value_array2], names=["tensor", "value"] + ) + + t1 = pa.table({"id": id_data1, struct_name: struct_array1}) + t2 = pa.table({"id": id_data2, struct_name: struct_array2}) + + return t1, t2 + + +# Helper function for creating expected tensor schemas +def _create_tensor_schema( + tensor_type=ArrowVariableShapedTensorType, + dtype=pa.float32(), + ndim=2, + include_id=True, + struct_name="struct", + include_extra=False, +): + """Helper function to create expected tensor schemas.""" + fields = [] + if include_id: + fields.append(("id", pa.int64())) + + if struct_name == "struct": + struct_fields = [ + ("tensor", tensor_type(dtype, ndim)), + ("value", pa.int64()), + ] + if include_extra: + struct_fields.append(("extra", pa.string())) + fields.append((struct_name, pa.struct(struct_fields))) + else: + fields.append(("tensor", tensor_type(dtype, ndim))) + + return pa.schema(fields) + + +# Helper function for creating basic struct blocks +def _create_basic_struct_blocks( + struct_data1, + struct_data2, + column_name="struct", + id_data1=None, + id_data2=None, + other_columns=None, +): + """Helper function to create basic struct blocks.""" + struct_array1 = pa.array(struct_data1) + struct_array2 = pa.array(struct_data2) + + t1_data = {column_name: struct_array1} + t2_data = {column_name: struct_array2} + + # Only add id columns if they are provided + if id_data1 is not None: + t1_data["id"] = id_data1 + if id_data2 is not None: + t2_data["id"] = id_data2 + + if other_columns: + t1_data.update(other_columns.get("t1", {})) + t2_data.update(other_columns.get("t2", {})) + + t1 = pa.table(t1_data) + t2 = pa.table(t2_data) + + return t1, t2 + + +# Helper function for creating struct schemas +def _create_struct_schema(struct_fields, include_id=True, other_fields=None): + """Helper function to create struct schemas.""" + fields = [] + if include_id: + fields.append(("id", pa.int64())) + + fields.append(("struct", pa.struct(struct_fields))) + + if other_fields: + fields.extend(other_fields) + + return pa.schema(fields) + + +# Helper function for creating struct blocks with additional columns +def _create_struct_blocks_with_columns( + struct_data1, + struct_data2, + struct_type1, + struct_type2, + additional_columns1=None, + additional_columns2=None, + struct_column="d", +): + """Helper function to create struct blocks with additional columns.""" + t1_data = {} + t2_data = {} + + # Add additional columns first to maintain expected order + if additional_columns1: + t1_data.update(additional_columns1) + if additional_columns2: + t2_data.update(additional_columns2) + + # Add struct column + t1_data[struct_column] = pa.array(struct_data1, type=struct_type1) + t2_data[struct_column] = pa.array(struct_data2, type=struct_type2) + + t1 = pa.table(t1_data) + t2 = pa.table(t2_data) + + return t1, t2 + + +# Helper function for creating expected results for struct tests +def _create_struct_expected_result(schema, length, content): + """Helper function to create expected results for struct tests.""" + return { + "length": length, + "schema": schema, + "content": content, + } + + +# Helper function for creating struct blocks with simple field patterns +def _create_simple_struct_blocks( + struct_data1, + struct_data2, + field_names, + field_types, + additional_columns1=None, + additional_columns2=None, + struct_column="d", +): + """Helper function to create struct blocks with simple field patterns.""" + struct_type = pa.struct(list(zip(field_names, field_types))) + + return _create_struct_blocks_with_columns( + struct_data1, + struct_data2, + struct_type, + struct_type, + additional_columns1, + additional_columns2, + struct_column, + ) + + +# Helper function for creating simple struct schemas +def _create_simple_struct_schema(field_names, field_types, additional_fields=None): + """Helper function to create simple struct schemas.""" + struct_fields = list(zip(field_names, field_types)) + + fields = [] + if additional_fields: + fields.extend(additional_fields) + fields.append(("d", pa.struct(struct_fields))) + + return pa.schema(fields) + + +@pytest.fixture +def unify_schemas_edge_cases_data(): + """Test data for unify schemas edge cases.""" + return { + "empty_schemas": [], + "single_schema": pa.schema([("col", pa.int32())]), + "no_common_columns": { + "schema1": pa.schema([("col1", pa.int32())]), + "schema2": pa.schema([("col2", pa.string())]), + "expected": pa.schema([("col1", pa.int32()), ("col2", pa.string())]), + }, + "all_null_schemas": { + "schema1": pa.schema([("col", pa.null())]), + "schema2": pa.schema([("col", pa.null())]), + }, + } + + +@pytest.fixture +def unify_schemas_mixed_tensor_data(): + """Test data for mixed tensor types in unify schemas.""" + return { + "fixed_shape": pa.schema([("tensor", ArrowTensorType((2, 2), pa.int32()))]), + "variable_shaped": pa.schema( + [("tensor", ArrowVariableShapedTensorType(pa.int32(), 2))] + ), + "different_shape": pa.schema([("tensor", ArrowTensorType((3, 3), pa.int32()))]), + "expected_variable": pa.schema( + [("tensor", ArrowVariableShapedTensorType(pa.int32(), 2))] + ), + } + + +@pytest.fixture +def unify_schemas_type_promotion_data(): + """Test data for type promotion scenarios.""" + return { + "non_null": pa.schema([pa.field("A", pa.int32())]), + "nullable": pa.schema([pa.field("A", pa.int32(), nullable=True)]), + "int64": pa.schema([pa.field("A", pa.int64())]), + "float64": pa.schema([pa.field("A", pa.float64())]), + } + + +@pytest.fixture +def block_select_data(): + """Test data for block select operations.""" + df = pd.DataFrame({"one": [10, 11, 12], "two": [11, 12, 13], "three": [14, 15, 16]}) + table = pa.Table.from_pandas(df) + return { + "table": table, + "df": df, + "single_column": { + "columns": ["two"], + "expected_schema": pa.schema([("two", pa.int64())]), + }, + "multiple_columns": { + "columns": ["two", "one"], + "expected_schema": pa.schema([("two", pa.int64()), ("one", pa.int64())]), + }, + } + + +@pytest.fixture +def block_slice_data(): + """Test data for block slice operations.""" + n = 20 + df = pd.DataFrame( + {"one": list(range(n)), "two": ["a"] * n, "three": [np.nan] + [1.5] * (n - 1)} + ) + table = pa.Table.from_pandas(df) + empty_df = pd.DataFrame({"one": []}) + empty_table = pa.Table.from_pandas(empty_df) + return { + "normal": {"table": table, "df": df, "slice_params": {"a": 5, "b": 10}}, + "empty": {"table": empty_table, "slice_params": {"a": 0, "b": 0}}, + } + + if __name__ == "__main__": import sys From 346540a44a0d228041a4e4f960cadc09812129a2 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Fri, 11 Jul 2025 14:49:56 -0700 Subject: [PATCH 0165/1566] only print log line once during shutdown (#54534) this does introduce behavior change in logs during shutdown --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 34 ++++++++++++------- .../serve/tests/unit/test_deployment_state.py | 2 +- 2 files changed, 22 insertions(+), 14 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index a700bee51e08..95522fe53761 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -980,17 +980,18 @@ def get_routing_stats(self) -> Dict[str, Any]: return self._routing_stats - def force_stop(self): + def force_stop(self, log_shutdown_message: bool = False): """Force the actor to exit without shutting down gracefully.""" if ( self._ingress and RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY ): - logger.info( - f"{self.replica_id} did not shut down because it had not finished draining requests. " - "Going to wait until the draining is complete. You can force-stop the replica by " - "setting RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY to 0." - ) + if log_shutdown_message: + logger.info( + f"{self.replica_id} did not shut down because it had not finished draining requests. " + "Going to wait until the draining is complete. You can force-stop the replica by " + "setting RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY to 0." + ) return try: @@ -1021,6 +1022,7 @@ def __init__( ) self._multiplexed_model_ids: List[str] = [] self._routing_stats: Dict[str, Any] = {} + self._logged_shutdown_message = False def get_running_replica_info( self, cluster_node_info_cache: ClusterNodeInfoCache @@ -1113,6 +1115,7 @@ def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: """ replica_scheduling_request = self._actor.start(deployment_info) self._start_time = time.time() + self._logged_shutdown_message = False self.update_actor_details(start_time_s=self._start_time) return replica_scheduling_request @@ -1187,14 +1190,19 @@ def check_stopped(self) -> bool: timeout_passed = time.time() >= self._shutdown_deadline if timeout_passed: - # Graceful period passed, kill it forcefully. - # This will be called repeatedly until the replica shuts down. - logger.info( - f"{self.replica_id} did not shut down after grace " - "period, force-killing it. " - ) + if ( + not self._logged_shutdown_message + and not RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY + ): + logger.info( + f"{self.replica_id} did not shut down after grace " + "period, force-killing it. " + ) - self._actor.force_stop() + self._actor.force_stop( + log_shutdown_message=not self._logged_shutdown_message + ) + self._logged_shutdown_message = True return False def check_health(self) -> bool: diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index a561c5d92143..aafad2614a76 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -279,7 +279,7 @@ def graceful_stop(self) -> None: def check_stopped(self) -> bool: return self.done_stopping - def force_stop(self): + def force_stop(self, log_shutdown_message: bool = False): self.force_stopped_counter += 1 def check_health(self): From b1e6c4e8a9af10893b64ad34709d494cd01a58bc Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 11 Jul 2025 15:54:22 -0700 Subject: [PATCH 0166/1566] [ci] kick forge refresh (#54544) forces rebuild. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/forge.Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ci/docker/forge.Dockerfile b/ci/docker/forge.Dockerfile index 4f259dcf4f37..c56e3b571016 100644 --- a/ci/docker/forge.Dockerfile +++ b/ci/docker/forge.Dockerfile @@ -83,4 +83,4 @@ EOF CMD ["echo", "ray forge"] -# last update: 2025-05-23 +# last update: 2025-07-11 From 7024251fa50ea3dfce0821bcf2092c0eaf9c954b Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 11 Jul 2025 17:13:03 -0700 Subject: [PATCH 0167/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (4/N): Refactor LLMServer (#54484) Signed-off-by: Linkun Signed-off-by: Linkun Chen Signed-off-by: Kourosh Hakhamaneshi Co-authored-by: Linkun Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_server.py | 128 ++++++++++-------- .../multiplex/test_multiplex_deployment.py | 13 +- .../llm/tests/serve/mocks/mock_vllm_engine.py | 20 +-- 3 files changed, 89 insertions(+), 72 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 9573d25f42a3..0467a0e6b075 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -77,11 +77,11 @@ class _LLMServerBase(ABC): """ # TODO (Kourosh): I don't know why this is an async init. Need to fix. - async def __init__(self, llm_config: LLMConfig): + async def __init__(self): """ Constructor takes in an LLMConfig object and start the underlying engine. """ - self._llm_config = llm_config + pass @abstractmethod async def chat(self, request: ChatCompletionRequest) -> LLMChatResponse: @@ -105,8 +105,9 @@ async def check_health(self) -> None: """ ... - async def llm_config(self) -> LLMConfig: - return self._llm_config + @abstractmethod + async def llm_config(self) -> Optional[LLMConfig]: + """Return the LLMConfig for the model.""" class ResponsePostprocessor: @@ -407,6 +408,17 @@ async def process_completions( class LLMServer(_LLMServerBase): + """This is an abstraction layer to decouple the LLM engine from the ingress + deployment. + + It has a very similar API as the engine. Almost all of the abstractions are implemented by the engine. This class just a little bit more logic on top: + + 1. Logic for serve multiplexing (e.g. LoRA loading). + 2. Request id handing from serve context. + 3. Batching in case of streaming (only for chat and completions). + 4. Telemetry reporting. + """ + _default_engine_cls = VLLMEngine async def __init__( @@ -414,7 +426,7 @@ async def __init__( llm_config: LLMConfig, *, engine_cls: Optional[Type[LLMEngine]] = None, - model_downloader: Optional[LoraModelLoader] = None, + model_downloader: Optional[Type[LoraModelLoader]] = None, ): """Constructor of LLMServer. @@ -425,10 +437,11 @@ async def __init__( llm_config: LLMConfig for the model. engine_cls: Dependency injection for the vllm engine class. Defaults to `VLLMEngine`. - model_downloader: Dependency injection for the model downloader - object. Defaults to be initialized with `LoraModelLoader`. + model_downloader: Dependency injection for the model downloader. + Defaults to `LoraModelLoader`. """ - await super().__init__(llm_config) + await super().__init__() + self._llm_config = llm_config self._engine_cls = engine_cls or self._get_default_engine_class() self.engine: Optional[LLMEngine] = None @@ -436,24 +449,38 @@ async def __init__( self.engine = self._engine_cls(self._llm_config) await asyncio.wait_for(self._start_engine(), timeout=ENGINE_START_TIMEOUT_S) - multiplex_config = self._llm_config.multiplex_config() - if model_downloader: - self.model_downloader = model_downloader - elif multiplex_config: - self.model_downloader = LoraModelLoader( - download_timeout_s=multiplex_config.download_timeout_s, - max_tries=multiplex_config.max_download_tries, + self._init_multiplex_loader(model_downloader) + self.response_postprocessor = ResponsePostprocessor() + + def _init_multiplex_loader( + self, model_downloader_cls: Optional[Type[LoraModelLoader]] = None + ): + """Initialize the multiplex loader.""" + + model_downloader_cls = model_downloader_cls or LoraModelLoader + mx_config = self._llm_config.multiplex_config() + + if mx_config is not None: + model_downloader = model_downloader_cls( + download_timeout_s=mx_config.download_timeout_s, + max_tries=mx_config.max_download_tries, ) + + async def _load_model(lora_model_id: str) -> DiskMultiplexConfig: + return await model_downloader.load_model( + lora_model_id=lora_model_id, + llm_config=self._llm_config, + ) + + self._load_model = serve.multiplexed( + max_num_models_per_replica=mx_config.max_num_models_per_replica + )(_load_model) else: - self.model_downloader = LoraModelLoader() - # Hack that lets us set max_num_models_per_replica from the llm_config - if multiplex_config: - self.load_model = serve.multiplexed( - max_num_models_per_replica=multiplex_config.max_num_models_per_replica - )(lambda lora_model_id: self._load_model(lora_model_id)) + async def _load_model(lora_model_id: str) -> DiskMultiplexConfig: + raise ValueError("LoRA config is not set in the LLMConfig") - self.response_postprocessor = ResponsePostprocessor() + self._load_model = _load_model def _get_default_engine_class(self) -> Type[LLMEngine]: """Helper to load the engine class from the environment variable. @@ -487,16 +514,7 @@ async def _predict( 3. Forward request to VLLMEngine.generate() """ - logger.info(f"Received streaming request {request_id}") - multiplexed_model_id = serve.get_multiplexed_model_id() - - if multiplexed_model_id: - assert ( - self._llm_config.lora_config is not None - ), "Must setup lora config for multiplexed requests." - disk_lora_model = await self._disk_lora_model(multiplexed_model_id) - else: - disk_lora_model = None + disk_lora_model = await self._maybe_resolve_lora_from_multiplex() llm_request = await self.engine.prepare_request( request_id=request_id, @@ -517,6 +535,21 @@ def _get_batch_interval_ms(self, stream: bool = True) -> int: stream_batching_interval_ms = MODEL_RESPONSE_BATCH_TIMEOUT_MS return stream_batching_interval_ms if stream else None + async def _maybe_resolve_lora_from_multiplex(self) -> Optional[DiskMultiplexConfig]: + """Handle the lora model for the request.""" + multiplexed_model_id = serve.get_multiplexed_model_id() + if multiplexed_model_id: + if self._llm_config.lora_config is None: + raise ValueError("Must setup lora config for multiplexed requests.") + disk_lora_model = await self._load_model(multiplexed_model_id) + return disk_lora_model + + def _batch_output_stream(self, generator): + return OpenAIResponseBatcher( + generator, + interval_ms=self._get_batch_interval_ms(), + ).stream() + def _process_llm_request( self, request: Union[ChatCompletionRequest, CompletionRequest], is_chat: bool ) -> Union[LLMChatResponse, LLMCompletionsResponse]: @@ -529,6 +562,7 @@ def _process_llm_request( Returns: A generator of response objects (either chat completion or text completion) """ + request_id = get_serve_request_id() # 1. Construct the appropriate prompt based on request type @@ -561,12 +595,7 @@ def _process_llm_request( if request.stream: # 4. Apply batching with appropriate interval in case of streaming - batched_openai_response_stream = OpenAIResponseBatcher( - openai_resp_generator, - interval_ms=self._get_batch_interval_ms(), - ) - - return batched_openai_response_stream.stream() + return self._batch_output_stream(openai_resp_generator) return openai_resp_generator @@ -616,15 +645,7 @@ async def embeddings(self, request: EmbeddingRequest) -> LLMEmbeddingsResponse: """ request_id = get_serve_request_id() try: - multiplexed_model_id = serve.get_multiplexed_model_id() - - if multiplexed_model_id: - assert ( - self._llm_config.lora_config is not None - ), "Must setup lora config for multiplexed requests." - disk_lora_model = await self._disk_lora_model(multiplexed_model_id) - else: - disk_lora_model = None + disk_lora_model = await self._maybe_resolve_lora_from_multiplex() request_params = { "request_id": request_id, @@ -654,19 +675,12 @@ async def embeddings(self, request: EmbeddingRequest) -> LLMEmbeddingsResponse: exc_info=e, ) - async def _load_model(self, lora_model_id: str) -> DiskMultiplexConfig: - return await self.model_downloader.load_model( - lora_model_id=lora_model_id, - llm_config=self._llm_config, - ) - - async def _disk_lora_model(self, lora_model_id: str) -> DiskMultiplexConfig: - disk_lora_model: DiskMultiplexConfig = await self.load_model(lora_model_id) - return disk_lora_model + async def llm_config(self) -> Optional[LLMConfig]: + return self._llm_config @classmethod def as_deployment( - cls, deployment_options: Dict[str, Any] = None + cls, deployment_options: Optional[Dict[str, Any]] = None ) -> serve.Deployment: """Convert the LLMServer to a Ray Serve deployment. diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py index 4680ad8b273f..ee395cd564c6 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py @@ -33,7 +33,7 @@ def handle(shutdown_ray_and_serve): LLMDeployment.options(placement_group_bundles=[{"CPU": 1}],).bind( llm_config, engine_cls=MockMultiplexEngine, - model_downloader=FakeLoraModelLoader(), + model_downloader=FakeLoraModelLoader, ), ) @@ -71,12 +71,11 @@ async def test_multiplex_deployment( if multiplexed_model_id is None: assert output.disk_multiplex_config is None else: - assert output.disk_multiplex_config.model_dump() == { - "model_id": multiplexed_model_id, - "max_total_tokens": None, - "local_path": "/local/path", - "lora_assigned_int_id": 1, - } + out_mx_config = output.disk_multiplex_config.model_dump() + assert out_mx_config["model_id"] == multiplexed_model_id + assert out_mx_config["local_path"] == "/fake/local/path" + # random int between 1 and 100 + assert 0 < out_mx_config["lora_assigned_int_id"] < 101 if __name__ == "__main__": diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 356e1d3b3313..367c92d236e0 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -25,6 +25,9 @@ Prompt, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine +from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( + LoraModelLoader, +) from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine_stats import ( VLLMEngineStats, @@ -292,17 +295,18 @@ async def check_health(self): return True -class FakeLoraModelLoader: +class FakeLoraModelLoader(LoraModelLoader): + """Fake LoRA model loader for testing.""" + async def load_model( self, lora_model_id: str, llm_config: LLMConfig ) -> DiskMultiplexConfig: - return DiskMultiplexConfig.model_validate( - { - "model_id": lora_model_id, - "max_total_tokens": llm_config.max_request_context_length, - "local_path": "/local/path", - "lora_assigned_int_id": 1, - } + """Load a fake LoRA model.""" + return DiskMultiplexConfig( + model_id=lora_model_id, + max_total_tokens=llm_config.max_request_context_length, + local_path="/fake/local/path", + lora_assigned_int_id=random.randint(1, 100), ) From 1c95a296659e64f71724da9e54da964d726e2f6c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 11 Jul 2025 17:29:09 -0700 Subject: [PATCH 0168/1566] Revert "[core] Default state API address when in a connected worker" (#54549) Reverts ray-project/ray#54468 redis test not passing: Fixes https://github.com/ray-project/ray/issues/54541 Signed-off-by: Douglas Strodtman --- python/ray/dashboard/utils.py | 7 ----- python/ray/tests/test_state_api.py | 44 +++++------------------------- 2 files changed, 7 insertions(+), 44 deletions(-) diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index 1a0a897ee66f..b0bf438d1a49 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -668,15 +668,8 @@ def ray_address_to_api_server_url(address: Optional[str]) -> str: Returns: API server HTTP URL. """ - # Prefer to connect to the same Ray instance that this worker is connected to - # by default. - if address is None or address == "auto": - worker = ray._private.worker.global_worker - if worker.connected: - address = worker.node.address_info["address"] address = services.canonicalize_bootstrap_address_or_die(address) - gcs_client = GcsClient(address=address) ray.experimental.internal_kv._initialize_internal_kv(gcs_client) diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 92c53e28d920..2557eced5adb 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -3,27 +3,26 @@ import json import sys import signal -import yaml from collections import Counter from concurrent.futures import ThreadPoolExecutor from typing import List from unittest.mock import MagicMock, AsyncMock, patch +import yaml from click.testing import CliRunner import pytest import pytest_asyncio - -import ray from ray._private.state_api_test_utils import ( get_state_api_manager, create_api_options, verify_schema, ) -from ray.dashboard.modules.job.pydantic_models import JobDetails from ray.util.state import get_job +from ray.dashboard.modules.job.pydantic_models import JobDetails from ray.util.state.common import Humanify + from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy -from ray.cluster_utils import Cluster +import ray import ray.dashboard.consts as dashboard_consts import ray._private.state as global_state import ray._private.ray_constants as ray_constants @@ -2965,11 +2964,11 @@ def f(): a = [f.remote() for _ in range(4)] # noqa wait_for_condition(lambda: len(list_tasks()) == 4) - # Kill raylet so that list_objects will have a network error on querying raylets. + # Kill raylet so that list_tasks will have network error on querying raylets. ray._private.worker._global_node.kill_raylet() - with pytest.raises(RayStateApiException, match="unexpected network issue"): - list_objects() + with pytest.raises(ConnectionError): + list_tasks(_explain=True) def test_network_partial_failures(monkeypatch, ray_start_cluster): @@ -3801,34 +3800,5 @@ def test_hang_driver_has_no_is_running_task(monkeypatch, ray_start_cluster): assert not all_job_info[my_job_id].HasField("is_running_tasks") -def test_address_defaults_to_connected_ray_instance(shutdown_only): - """ - If there are multiple local instances and a state API is invoked from within a - connected worker, the address should default to the connected instance. - """ - cluster_1 = Cluster() - cluster_1_dashboard_port = find_free_port() - cluster_1.add_node(dashboard_port=cluster_1_dashboard_port) - - cluster_2 = Cluster() - cluster_2_dashboard_port = find_free_port() - cluster_2.add_node(dashboard_port=cluster_2_dashboard_port) - - # Connect the driver to cluster_1. - ray.init(cluster_1.address) - - # Call list_jobs() with no address and "auto", both should connect to cluster_1. - [job] = list_jobs() - assert job.job_id == ray.get_runtime_context().get_job_id() - [job] = list_jobs(address="auto") - assert job.job_id == ray.get_runtime_context().get_job_id() - - # Sanity checks: call list_jobs() with cluster_1 and cluster_2 addresses specified. - cluster_1_jobs = list_jobs(address=f"http://localhost:{cluster_1_dashboard_port}") - assert cluster_1_jobs == [job] - cluster_2_jobs = list_jobs(address=f"http://localhost:{cluster_2_dashboard_port}") - assert len(cluster_2_jobs) == 0 - - if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From 3b7926e64e65f9698e2929a05d849f1e1a83046f Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Fri, 11 Jul 2025 17:39:12 -0700 Subject: [PATCH 0169/1566] [train] TrainStateActor periodically checks controller status and sets aborted (#53818) # Summary The goal of this PR is to make it so that if the controller actor dies for whatever reason, the in-progress runs and run attempts associated with that controller will be marked "ABORTED." # Implementation details The state actor has a thread that runs every 30 seconds. This thread holds a lock the entire time it does anything with runs and run attempts, which includes making `get_actor` rpc calls. To avoid holding the lock for too long, I also added timeout environment variables. I chose to use `get_actor` once per controller instead of calling `list_actors(state=DEAD)` a single time because the number of live controllers should be small and the number of dead actors can eventually become huge. I also made all terminal state updates blocking with `ray.get`. This guarantees that, when a train run terminates gracefully, it will never be in a state in which the controller is dead and the run is still running, which would cause the polling thread to mark a finished run as aborted. I chose to propagate the env vars to the state actor instead of simply adding more variables to its constructor since that's what the controllers/workers were already doing. --------- Signed-off-by: Timothy Seah Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Co-authored-by: Justin Yu Co-authored-by: matthewdeng Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- python/ray/train/v2/_internal/constants.py | 25 ++- python/ray/train/v2/_internal/state/schema.py | 10 + .../train/v2/_internal/state/state_actor.py | 157 +++++++++++++-- .../train/v2/_internal/state/state_manager.py | 52 +++-- python/ray/train/v2/_internal/state/util.py | 51 +++++ .../ray/train/v2/api/data_parallel_trainer.py | 2 + python/ray/train/v2/tests/conftest.py | 9 + python/ray/train/v2/tests/test_state.py | 178 +++++++++++++++++- .../ray/train/v2/tests/test_state_export.py | 86 ++------- python/ray/train/v2/tests/util.py | 71 +++++++ 10 files changed, 529 insertions(+), 112 deletions(-) create mode 100644 python/ray/train/v2/_internal/state/util.py diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index 9a3dd0cd025c..2eedeeff3593 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -13,12 +13,12 @@ CHECKPOINT_MANAGER_SNAPSHOT_FILENAME = "checkpoint_manager_snapshot.json" -# ------------------------------------------------------------ -# Environment variables used in the controller and workers. +# ----------------------------------------------------------------------- +# Environment variables used in the controller, workers, and state actor. # # Be sure to update ENV_VARS_TO_PROPAGATE when adding new # environment variables in this section. -# ------------------------------------------------------------ +# ----------------------------------------------------------------------- # Polling interval for the Train controller. # This determines how many seconds the controller will wait between @@ -59,6 +59,23 @@ DEFAULT_ENABLE_CONTROLLER_LOGGING = "1" DEFAULT_ENABLE_WORKER_LOGGING = "1" +# Environment variables to configure reconciliation interval for Train state actor. +# This determines how many seconds the state actor will wait between +# polling the controller for its status. +ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR = ( + "RAY_TRAIN_ENABLE_STATE_ACTOR_RECONCILIATION" +) +DEFAULT_ENABLE_STATE_ACTOR_RECONCILIATION = "1" +STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR = ( + "RAY_TRAIN_STATE_ACTOR_RECONCILIATION_INTERVAL_S" +) +DEFAULT_STATE_ACTOR_RECONCILIATION_INTERVAL_S: float = 30.0 +# TODO: `ray.util.state.api.get_actor` takes 10-50ms but we cannot pick lower than 2s +# due to https://github.com/ray-project/ray/issues/54153. Lower this after fix. +GET_ACTOR_TIMEOUT_S: int = 2 +# GET_ACTOR_TIMEOUT_S_ENV_VAR * CONTROLLERS_TO_POLL_PER_ITERATION_ENV_VAR should be +# way less than STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR. +CONTROLLERS_TO_POLL_PER_ITERATION: int = 5 # Environment variable for Train execution callbacks RAY_TRAIN_CALLBACKS_ENV_VAR = "RAY_TRAIN_CALLBACKS" @@ -74,6 +91,8 @@ ENABLE_PRINT_PATCH_ENV_VAR, ENABLE_CONTROLLER_STRUCTURED_LOGGING_ENV_VAR, ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR, + ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, + STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR, } diff --git a/python/ray/train/v2/_internal/state/schema.py b/python/ray/train/v2/_internal/state/schema.py index 8c8497a47ea3..48d1298beed0 100644 --- a/python/ray/train/v2/_internal/state/schema.py +++ b/python/ray/train/v2/_internal/state/schema.py @@ -32,6 +32,9 @@ class RunStatus(str, Enum): # The Train run was terminated due to system or controller errors. ABORTED = "ABORTED" + def is_terminal(self) -> bool: + return self in [RunStatus.FINISHED, RunStatus.ERRORED, RunStatus.ABORTED] + @DeveloperAPI class RunAttemptStatus(str, Enum): @@ -51,6 +54,13 @@ class RunAttemptStatus(str, Enum): # The run attempt was terminated due to system or controller errors. ABORTED = "ABORTED" + def is_terminal(self) -> bool: + return self in [ + RunAttemptStatus.FINISHED, + RunAttemptStatus.ERRORED, + RunAttemptStatus.ABORTED, + ] + @DeveloperAPI class ActorStatus(str, Enum): diff --git a/python/ray/train/v2/_internal/state/state_actor.py b/python/ray/train/v2/_internal/state/state_actor.py index 47021d3e1f58..8657f977bdd3 100644 --- a/python/ray/train/v2/_internal/state/state_actor.py +++ b/python/ray/train/v2/_internal/state/state_actor.py @@ -1,47 +1,167 @@ +import copy import logging import os import threading -from collections import defaultdict +import time +from collections import OrderedDict, defaultdict from typing import Dict, Optional import ray +from ray._private import ray_constants from ray._private.event.export_event_logger import ( EventLogType, check_export_api_enabled, get_export_event_logger, ) from ray.actor import ActorHandle -from ray.train.v2._internal.state.schema import TrainRun, TrainRunAttempt +from ray.train.v2._internal.constants import ( + CONTROLLERS_TO_POLL_PER_ITERATION, + DEFAULT_ENABLE_STATE_ACTOR_RECONCILIATION, + DEFAULT_STATE_ACTOR_RECONCILIATION_INTERVAL_S, + ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, + GET_ACTOR_TIMEOUT_S, + STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR, +) +from ray.train.v2._internal.state.schema import ( + TrainRun, + TrainRunAttempt, +) +from ray.train.v2._internal.state.util import ( + is_actor_alive, + update_train_run_aborted, + update_train_run_attempt_aborted, +) +from ray.train.v2._internal.util import time_monotonic logger = logging.getLogger(__name__) class TrainStateActor: - def __init__(self): + def __init__( + self, + # TODO: group into single config if we need to do similar polling elsewhere + enable_state_actor_reconciliation: bool = False, + reconciliation_interval_s: float = 30, + get_actor_timeout_s: int = GET_ACTOR_TIMEOUT_S, + controllers_to_poll_per_iteration: int = CONTROLLERS_TO_POLL_PER_ITERATION, + ): # NOTE: All runs and attempts are stored in memory. # This may be a memory issue for large runs. - self._runs: Dict[str, TrainRun] = {} + # TODO: consider cleaning up runs over time. + self._runs: Dict[str, TrainRun] = OrderedDict() # {run_id: {attempt_id: TrainRunAttempt}} - self._run_attempts: Dict[str, Dict[str, TrainRunAttempt]] = defaultdict(dict) + self._run_attempts: Dict[str, OrderedDict[str, TrainRunAttempt]] = defaultdict( + OrderedDict + ) ( self._export_logger, self._is_train_run_export_api_enabled, self._is_train_run_attempt_export_api_enabled, ) = self._init_export_logger() + # TODO: consider row level locking if loop takes too long. + self._runs_lock = threading.RLock() + self._run_attempts_lock = threading.RLock() + + # Set env vars related to reconciling train run/attempt state. + if enable_state_actor_reconciliation: + self._reconciliation_interval_s = reconciliation_interval_s + self._controllers_to_poll_per_iteration = controllers_to_poll_per_iteration + self._get_actor_timeout_s = get_actor_timeout_s + self._start_run_state_reconciliation_thread() + + def _abort_live_runs_with_dead_controllers( + self, last_poll_run_id: Optional[str] + ) -> str: + aborted_run_ids = [] + with self._runs_lock: + runs = list(self._runs.values()) + + # Start iterating from poll index. + starting_poll_index = 0 + if last_poll_run_id is not None: + for poll_index, run in enumerate(runs): + if run.id == last_poll_run_id: + starting_poll_index = (poll_index + 1) % len(runs) + break + + # Abort runs. + num_polled_runs = 0 + poll_index = starting_poll_index + while ( + poll_index < starting_poll_index + len(runs) + and num_polled_runs < self._controllers_to_poll_per_iteration + ): + run = runs[poll_index % len(runs)] + poll_index += 1 + last_poll_run_id = run.id + if run.status.is_terminal(): + continue + if not is_actor_alive( + run.controller_actor_id, self._get_actor_timeout_s + ): + update_train_run_aborted(run, False) + self.create_or_update_train_run(run) + aborted_run_ids.append(run.id) + num_polled_runs += 1 + + # Abort run attempts. + with self._run_attempts_lock: + for run_id in aborted_run_ids: + latest_run_attempt = self._get_latest_run_attempt(run_id) + if latest_run_attempt and not latest_run_attempt.status.is_terminal(): + update_train_run_attempt_aborted(latest_run_attempt, False) + self.create_or_update_train_run_attempt(latest_run_attempt) + + return last_poll_run_id + + def _start_run_state_reconciliation_thread(self) -> None: + def _reconciliation_loop(): + last_poll_run_id = None + latest_poll_time = float("-inf") + while True: + # Wait for the poll interval to elapse. + time_since_last_poll = time_monotonic() - latest_poll_time + if time_since_last_poll < self._reconciliation_interval_s: + remaining_time = ( + self._reconciliation_interval_s - time_since_last_poll + ) + time.sleep(remaining_time) + + last_poll_run_id = self._abort_live_runs_with_dead_controllers( + last_poll_run_id + ) + latest_poll_time = time_monotonic() + + threading.Thread(target=_reconciliation_loop, daemon=True).start() + + def _get_latest_run_attempt(self, run_id: str) -> Optional[TrainRunAttempt]: + with self._run_attempts_lock: + # NOTE: run_attempts is OrderedDict from attempt_id to TrainRunAttempt. + run_attempts = self._run_attempts.get(run_id, {}) + if not run_attempts: + return None + return next(reversed(run_attempts.values())) + def create_or_update_train_run(self, run: TrainRun) -> None: - self._runs[run.id] = run - self._maybe_export_train_run(run) + with self._runs_lock: + self._runs[run.id] = run + run_copy = copy.deepcopy(run) + self._maybe_export_train_run(run_copy) - def create_or_update_train_run_attempt(self, run_attempt: TrainRunAttempt): - self._run_attempts[run_attempt.run_id][run_attempt.attempt_id] = run_attempt - self._maybe_export_train_run_attempt(run_attempt) + def create_or_update_train_run_attempt(self, run_attempt: TrainRunAttempt) -> None: + with self._run_attempts_lock: + self._run_attempts[run_attempt.run_id][run_attempt.attempt_id] = run_attempt + run_attempt_copy = copy.deepcopy(run_attempt) + self._maybe_export_train_run_attempt(run_attempt_copy) def get_train_runs(self) -> Dict[str, TrainRun]: - return self._runs + with self._runs_lock: + return self._runs def get_train_run_attempts(self) -> Dict[str, Dict[str, TrainRunAttempt]]: - return self._run_attempts + with self._run_attempts_lock: + return self._run_attempts # ============================ # Export API @@ -147,7 +267,18 @@ def get_or_create_state_actor() -> ActorHandle: max_restarts=-1, max_task_retries=-1, ) - .remote() + .remote( + enable_state_actor_reconciliation=ray_constants.env_bool( + ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, + DEFAULT_ENABLE_STATE_ACTOR_RECONCILIATION, + ), + reconciliation_interval_s=float( + os.getenv( + STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR, + DEFAULT_STATE_ACTOR_RECONCILIATION_INTERVAL_S, + ) + ), + ) ) return state_actor diff --git a/python/ray/train/v2/_internal/state/state_manager.py b/python/ray/train/v2/_internal/state/state_manager.py index dd9050d8d13b..e966d4d75b75 100644 --- a/python/ray/train/v2/_internal/state/state_manager.py +++ b/python/ray/train/v2/_internal/state/state_manager.py @@ -1,8 +1,8 @@ import logging -import time from collections import defaultdict from typing import Dict, List, Optional +import ray from ray.actor import ActorHandle from ray.train.v2._internal.execution.context import DistributedContext from ray.train.v2._internal.execution.scaling_policy.scaling_policy import ( @@ -19,6 +19,12 @@ TrainWorker, ) from ray.train.v2._internal.state.state_actor import get_or_create_state_actor +from ray.train.v2._internal.state.util import ( + current_time_ns, + mark_workers_dead, + update_train_run_aborted, + update_train_run_attempt_aborted, +) logger = logging.getLogger(__name__) @@ -49,7 +55,7 @@ def create_train_run( status=RunStatus.INITIALIZING, status_detail=None, controller_actor_id=controller_actor_id, - start_time_ns=_current_time_ns(), + start_time_ns=current_time_ns(), controller_log_file_path=controller_log_file_path, ) self._runs[run.id] = run @@ -106,7 +112,7 @@ def update_train_run_finished( run = self._runs[run_id] run.status = RunStatus.FINISHED run.status_detail = None - run.end_time_ns = _current_time_ns() + run.end_time_ns = current_time_ns() self._create_or_update_train_run(run) def update_train_run_errored( @@ -117,7 +123,7 @@ def update_train_run_errored( run = self._runs[run_id] run.status = RunStatus.ERRORED run.status_detail = status_detail - run.end_time_ns = _current_time_ns() + run.end_time_ns = current_time_ns() self._create_or_update_train_run(run) def update_train_run_aborted( @@ -125,9 +131,7 @@ def update_train_run_aborted( run_id: str, ): run = self._runs[run_id] - run.status = RunStatus.ABORTED - run.status_detail = None # TODO: Add status detail. - run.end_time_ns = _current_time_ns() + update_train_run_aborted(run=run, graceful=True) self._create_or_update_train_run(run) def create_train_run_attempt( @@ -144,7 +148,7 @@ def create_train_run_attempt( run_attempt = TrainRunAttempt( run_id=run_id, attempt_id=attempt_id, - start_time_ns=_current_time_ns(), + start_time_ns=current_time_ns(), status=RunAttemptStatus.PENDING, status_detail=status_detail, resources=resources, @@ -193,8 +197,8 @@ def update_train_run_attempt_finished( run_attempt = self._run_attempts[run_id][attempt_id] run_attempt.status = RunAttemptStatus.FINISHED run_attempt.status_detail = None - run_attempt.end_time_ns = _current_time_ns() - _mark_workers_dead(run_attempt) + run_attempt.end_time_ns = current_time_ns() + mark_workers_dead(run_attempt) self._create_or_update_train_run_attempt(run_attempt) def update_train_run_attempt_errored( @@ -206,8 +210,8 @@ def update_train_run_attempt_errored( run_attempt = self._run_attempts[run_id][attempt_id] run_attempt.status = RunAttemptStatus.ERRORED run_attempt.status_detail = status_detail - run_attempt.end_time_ns = _current_time_ns() - _mark_workers_dead(run_attempt) + run_attempt.end_time_ns = current_time_ns() + mark_workers_dead(run_attempt) self._create_or_update_train_run_attempt(run_attempt) def update_train_run_attempt_aborted( @@ -216,29 +220,23 @@ def update_train_run_attempt_aborted( attempt_id: str, ): run_attempt = self._run_attempts[run_id][attempt_id] - run_attempt.status_detail = None # TODO: Add status detail. - run_attempt.status = RunAttemptStatus.ABORTED - run_attempt.end_time_ns = _current_time_ns() - _mark_workers_dead(run_attempt) + update_train_run_attempt_aborted(run_attempt=run_attempt, graceful=True) self._create_or_update_train_run_attempt(run_attempt) def _create_or_update_train_run(self, run: TrainRun) -> None: - self._state_actor.create_or_update_train_run.remote(run) + ref = self._state_actor.create_or_update_train_run.remote(run) + # Block to avoid case where controller is dead but run is not terminal. + if run.status.is_terminal(): + ray.get(ref) def _create_or_update_train_run_attempt(self, run_attempt: TrainRunAttempt) -> None: - self._state_actor.create_or_update_train_run_attempt.remote(run_attempt) - - -def _current_time_ns() -> int: - return time.time_ns() + # Block to avoid case where controller is dead but attempt is not terminal. + ref = self._state_actor.create_or_update_train_run_attempt.remote(run_attempt) + if run_attempt.status.is_terminal(): + ray.get(ref) def _get_scheduling_status_detail( num_workers: int, resources_per_worker: Dict[str, float] ) -> str: return f"Scheduling {num_workers} workers, each requiring: {resources_per_worker}." - - -def _mark_workers_dead(run_attempt: TrainRunAttempt) -> None: - for worker in run_attempt.workers: - worker.status = ActorStatus.DEAD diff --git a/python/ray/train/v2/_internal/state/util.py b/python/ray/train/v2/_internal/state/util.py new file mode 100644 index 000000000000..08f1b976b859 --- /dev/null +++ b/python/ray/train/v2/_internal/state/util.py @@ -0,0 +1,51 @@ +import time + +from ray.train.v2._internal.state.schema import ( + ActorStatus, + RunAttemptStatus, + RunStatus, + TrainRun, + TrainRunAttempt, +) +from ray.util.state import get_actor + +_GRACEFUL_ABORT_STATUS_DETAIL = "Run aborted due to user interrupt (SIGINT)." +_DEAD_CONTROLLER_ABORT_STATUS_DETAIL = ( + "Run aborted because the driver process exited unexpectedly." +) + + +def update_train_run_aborted(run: TrainRun, graceful: bool) -> None: + run.status = RunStatus.ABORTED + if graceful: + run.status_detail = _GRACEFUL_ABORT_STATUS_DETAIL + else: + run.status_detail = _DEAD_CONTROLLER_ABORT_STATUS_DETAIL + run.end_time_ns = current_time_ns() + + +def update_train_run_attempt_aborted( + run_attempt: TrainRunAttempt, graceful: bool +) -> None: + if graceful: + run_attempt.status_detail = _GRACEFUL_ABORT_STATUS_DETAIL + else: + run_attempt.status_detail = _DEAD_CONTROLLER_ABORT_STATUS_DETAIL + run_attempt.status = RunAttemptStatus.ABORTED + run_attempt.end_time_ns = current_time_ns() + mark_workers_dead(run_attempt) + + +def mark_workers_dead(run_attempt: TrainRunAttempt) -> None: + for worker in run_attempt.workers: + worker.status = ActorStatus.DEAD + + +def current_time_ns() -> int: + return time.time_ns() + + +def is_actor_alive(actor_id: str, timeout: int) -> bool: + """Returns whether actor is alive.""" + actor_state = get_actor(actor_id, timeout=timeout) + return actor_state and actor_state.state != "DEAD" diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index d5f24e4494d2..3b0967087d05 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -205,6 +205,8 @@ def _initialize_and_run_controller(self, **controller_init_kwargs) -> Result: scheduling_strategy=NodeAffinitySchedulingStrategy( node_id=ray.get_runtime_context().get_node_id(), soft=False ), + # TODO: Extract env variables that affect controller behavior + # and pass them as explicit args runtime_env={"env_vars": get_env_vars_to_propagate()}, )(TrainController) diff --git a/python/ray/train/v2/tests/conftest.py b/python/ray/train/v2/tests/conftest.py index b646d52ad0f2..6f52bcd6e438 100644 --- a/python/ray/train/v2/tests/conftest.py +++ b/python/ray/train/v2/tests/conftest.py @@ -3,6 +3,9 @@ import pytest import ray +from ray.train.v2._internal.constants import ( + ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, +) @pytest.fixture() @@ -25,3 +28,9 @@ def setup_logging(): def shutdown_only(): yield None ray.shutdown() + + +@pytest.fixture(autouse=True) +def disable_state_actor_polling(monkeypatch): + monkeypatch.setenv(ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, "0") + yield diff --git a/python/ray/train/v2/tests/test_state.py b/python/ray/train/v2/tests/test_state.py index 0a40c984d766..c9c2cbffa69e 100644 --- a/python/ray/train/v2/tests/test_state.py +++ b/python/ray/train/v2/tests/test_state.py @@ -1,3 +1,4 @@ +from collections import OrderedDict from unittest.mock import MagicMock import pytest @@ -36,8 +37,27 @@ get_state_actor, ) from ray.train.v2._internal.state.state_manager import TrainStateManager +from ray.train.v2._internal.state.util import _DEAD_CONTROLLER_ABORT_STATUS_DETAIL from ray.train.v2.api.exceptions import TrainingFailedError -from ray.train.v2.tests.util import create_dummy_run_context +from ray.train.v2.tests.util import ( + create_dummy_run_context, + create_mock_train_run, + create_mock_train_run_attempt, +) +from ray.util.state.common import ActorState + + +def create_mock_actor_state(state: ActorStatus): + return ActorState( + state=state, + actor_id="mock_actor_id", + class_name="mock_class_name", + job_id="mock_job_id", + name="mock_name", + node_id="mock_node_id", + pid=1234, + ray_namespace="mock_ray_namespace", + ) @pytest.fixture(scope="function") @@ -189,6 +209,162 @@ def test_train_state_actor_create_and_get_run_attempt(ray_start_regular): assert attempts["test_run"]["attempt_1"].status == RunAttemptStatus.RUNNING +def test_train_state_actor_abort_dead_controller_live_runs(monkeypatch): + # Monkeypatch get_actor to return correct actor state per controller actor ID. + def get_actor(actor_id: str, timeout: float): + if actor_id == "nonexistent_controller_no_attempts_id": + return None + if actor_id in [ + "dead_controller_one_attempt_id", + "dead_controller_two_attempts_id", + "finished_controller_id", + ]: + return create_mock_actor_state(state="DEAD") + if actor_id == "live_controller_one_attempt_id": + return create_mock_actor_state(state="ALIVE") + raise ValueError(f"Unknown actor {actor_id}.") + + monkeypatch.setattr("ray.train.v2._internal.state.util.get_actor", get_actor) + monkeypatch.setattr("uuid.uuid4", lambda: MagicMock(hex="mock_uuid")) + monkeypatch.setattr("time.time_ns", lambda: 1000) + + # Create TrainStateActor with interesting runs and run attempts. + # NOTE: TrainStateActor will poll for real but its updates are idempotent. + actor = TrainStateActor(enable_state_actor_reconciliation=True) + finished_controller_run = create_mock_train_run( + status=RunStatus.FINISHED, + controller_actor_id="finished_controller_id", + id="finished_controller_run_id", + ) + live_controller_one_attempt_run = create_mock_train_run( + status=RunStatus.RUNNING, + controller_actor_id="live_controller_one_attempt_id", + id="live_controller_one_attempt_run_id", + ) + actor._runs = OrderedDict( + { + "nonexistent_controller_no_attempts_run_id": create_mock_train_run( + status=RunStatus.INITIALIZING, + controller_actor_id="nonexistent_controller_no_attempts_id", + id="nonexistent_controller_no_attempts_run_id", + ), + "dead_controller_one_attempt_run_id": create_mock_train_run( + status=RunStatus.INITIALIZING, + controller_actor_id="dead_controller_one_attempt_id", + id="dead_controller_one_attempt_run_id", + ), + "dead_controller_two_attempts_run_id": create_mock_train_run( + status=RunStatus.SCHEDULING, + controller_actor_id="dead_controller_two_attempts_id", + id="dead_controller_two_attempts_run_id", + ), + "finished_controller_run_id": finished_controller_run, + "live_controller_one_attempt_run_id": live_controller_one_attempt_run, + } + ) + live_controller_one_attempt_run_attempt = create_mock_train_run_attempt( + status=RunAttemptStatus.RUNNING, + run_id="live_controller_one_attempt_run_id", + attempt_id="attempt_1", + ) + dead_controller_two_attempts_first_attempt = ( + create_mock_train_run_attempt( + attempt_id="attempt_1", + status=RunAttemptStatus.ERRORED, + run_id="dead_controller_two_attempts_run_id", + ), + ) + actor._run_attempts = { + "nonexistent_controller_no_attempts_run_id": {}, + "dead_controller_one_attempt_run_id": { + "attempt_1": create_mock_train_run_attempt( + attempt_id="attempt_1", + status=RunAttemptStatus.PENDING, + run_id="dead_controller_one_attempt_run_id", + ), + }, + "dead_controller_two_attempts_run_id": OrderedDict( + { + "attempt_1": dead_controller_two_attempts_first_attempt, + "attempt_2": create_mock_train_run_attempt( + status=RunAttemptStatus.RUNNING, + attempt_id="attempt_2", + run_id="dead_controller_two_attempts_run_id", + ), + } + ), + "finished_controller_run_id": {}, + "live_controller_one_attempt_run_id": { + "attempt_1": live_controller_one_attempt_run_attempt, + }, + } + + # Assert correct runs and run attempts get aborted. + assert ( + actor._abort_live_runs_with_dead_controllers( + "dead_controller_two_attempts_run_id" + ) + == "dead_controller_two_attempts_run_id" + ) + assert actor._runs == OrderedDict( + { + "nonexistent_controller_no_attempts_run_id": create_mock_train_run( + status=RunStatus.ABORTED, + controller_actor_id="nonexistent_controller_no_attempts_id", + end_time_ns=1000, + id="nonexistent_controller_no_attempts_run_id", + status_detail=_DEAD_CONTROLLER_ABORT_STATUS_DETAIL, + ), + "dead_controller_one_attempt_run_id": create_mock_train_run( + status=RunStatus.ABORTED, + controller_actor_id="dead_controller_one_attempt_id", + end_time_ns=1000, + id="dead_controller_one_attempt_run_id", + status_detail=_DEAD_CONTROLLER_ABORT_STATUS_DETAIL, + ), + "dead_controller_two_attempts_run_id": create_mock_train_run( + status=RunStatus.ABORTED, + controller_actor_id="dead_controller_two_attempts_id", + end_time_ns=1000, + id="dead_controller_two_attempts_run_id", + status_detail=_DEAD_CONTROLLER_ABORT_STATUS_DETAIL, + ), + "finished_controller_run_id": finished_controller_run, + "live_controller_one_attempt_run_id": live_controller_one_attempt_run, + } + ) + assert actor._run_attempts == { + "nonexistent_controller_no_attempts_run_id": {}, + "dead_controller_one_attempt_run_id": { + "attempt_1": create_mock_train_run_attempt( + status=RunAttemptStatus.ABORTED, + run_id="dead_controller_one_attempt_run_id", + attempt_id="attempt_1", + end_time_ns=1000, + worker_status=ActorStatus.DEAD, + status_detail=_DEAD_CONTROLLER_ABORT_STATUS_DETAIL, + ) + }, + "dead_controller_two_attempts_run_id": OrderedDict( + { + "attempt_1": dead_controller_two_attempts_first_attempt, + "attempt_2": create_mock_train_run_attempt( + status=RunAttemptStatus.ABORTED, + run_id="dead_controller_two_attempts_run_id", + attempt_id="attempt_2", + end_time_ns=1000, + worker_status=ActorStatus.DEAD, + status_detail=_DEAD_CONTROLLER_ABORT_STATUS_DETAIL, + ), + } + ), + "finished_controller_run_id": {}, + "live_controller_one_attempt_run_id": { + "attempt_1": live_controller_one_attempt_run_attempt, + }, + } + + def test_train_state_manager_run_lifecycle(ray_start_regular): """Test the complete lifecycle of a training run through the state manager.""" manager = TrainStateManager() diff --git a/python/ray/train/v2/tests/test_state_export.py b/python/ray/train/v2/tests/test_state_export.py index 34a243a8cb64..2bca0a7f8e61 100644 --- a/python/ray/train/v2/tests/test_state_export.py +++ b/python/ray/train/v2/tests/test_state_export.py @@ -1,21 +1,18 @@ import json import os -import time -import uuid import pytest import ray from ray.train.v2._internal.state.schema import ( - ActorStatus, RunAttemptStatus, RunStatus, - TrainResources, - TrainRun, - TrainRunAttempt, - TrainWorker, ) from ray.train.v2._internal.state.state_actor import get_or_create_state_actor +from ray.train.v2.tests.util import ( + create_mock_train_run, + create_mock_train_run_attempt, +) @pytest.fixture @@ -24,53 +21,6 @@ def shutdown_only(): ray.shutdown() -_RUN_ID = "mock_run_id" - - -def _create_mock_train_run(status: RunStatus = RunStatus.RUNNING): - return TrainRun( - schema_version=0, - id=_RUN_ID, - name="test_run", - job_id=uuid.uuid4().hex, - controller_actor_id=uuid.uuid4().hex, - status=status, - status_detail=None, - start_time_ns=time.time_ns(), - controller_log_file_path="/tmp/ray/session_xxx/logs/train/ray-train-app-controller.log", - ) - - -def _create_mock_train_run_attempt( - attempt_id: str = "mock_attempt_id", - status: RunAttemptStatus = RunAttemptStatus.RUNNING, -): - worker = TrainWorker( - world_rank=0, - local_rank=0, - node_rank=0, - actor_id=uuid.uuid4().hex, - node_id=uuid.uuid4().hex, - node_ip="127.0.0.1", - pid=1234, - gpu_ids=[0], - status=ActorStatus.ALIVE, - resources=TrainResources(resources={"CPU": 1}), - log_file_path="/tmp/ray/session_xxx/logs/train/ray-train-app-worker.log", - ) - - return TrainRunAttempt( - schema_version=0, - run_id=_RUN_ID, - attempt_id=attempt_id, - status=status, - status_detail=None, - start_time_ns=time.time_ns(), - resources=[TrainResources(resources={"CPU": 1})], - workers=[worker], - ) - - def _get_export_file_path() -> str: return os.path.join( ray._private.worker._global_node.get_session_dir_path(), @@ -117,10 +67,10 @@ def test_export_disabled(ray_start_4_cpus): state_actor = get_or_create_state_actor() # Create or update train run - ray.get(state_actor.create_or_update_train_run.remote(_create_mock_train_run())) + ray.get(state_actor.create_or_update_train_run.remote(create_mock_train_run())) ray.get( state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt() + create_mock_train_run_attempt() ) ) @@ -135,7 +85,7 @@ def _test_train_run_export(): # Create or update train run ray.get( state_actor.create_or_update_train_run.remote( - _create_mock_train_run(RunStatus.RUNNING) + create_mock_train_run(RunStatus.RUNNING) ) ) @@ -161,7 +111,7 @@ def test_export_train_run_attempt(enable_export_api_write): # Create or update train run attempt ray.get( state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt(RunAttemptStatus.RUNNING) + create_mock_train_run_attempt(RunAttemptStatus.RUNNING) ) ) @@ -177,30 +127,30 @@ def test_export_multiple_source_types(enable_export_api_write): events = [ state_actor.create_or_update_train_run.remote( - _create_mock_train_run(RunStatus.RUNNING) + create_mock_train_run(RunStatus.RUNNING) ), state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt( + create_mock_train_run_attempt( attempt_id="attempt_1", status=RunAttemptStatus.RUNNING ) ), state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt( + create_mock_train_run_attempt( attempt_id="attempt_2", status=RunAttemptStatus.RUNNING ) ), state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt( + create_mock_train_run_attempt( attempt_id="attempt_1", status=RunAttemptStatus.FINISHED ) ), state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt( + create_mock_train_run_attempt( attempt_id="attempt_2", status=RunAttemptStatus.FINISHED ) ), state_actor.create_or_update_train_run.remote( - _create_mock_train_run(RunStatus.FINISHED) + create_mock_train_run(RunStatus.FINISHED) ), ] ray.get(events) @@ -222,12 +172,12 @@ def test_export_optional_fields(enable_export_api_write): state_actor = get_or_create_state_actor() # Create run with optional fields - run_with_optional = _create_mock_train_run(RunStatus.FINISHED) + run_with_optional = create_mock_train_run(RunStatus.FINISHED) run_with_optional.status_detail = "Finished with details" run_with_optional.end_time_ns = 1000000000000000000 # Create attempt with optional fields - attempt_with_optional = _create_mock_train_run_attempt( + attempt_with_optional = create_mock_train_run_attempt( attempt_id="attempt_with_optional", status=RunAttemptStatus.FINISHED, ) @@ -236,9 +186,9 @@ def test_export_optional_fields(enable_export_api_write): # Create and update states events = [ - state_actor.create_or_update_train_run.remote(_create_mock_train_run()), + state_actor.create_or_update_train_run.remote(create_mock_train_run()), state_actor.create_or_update_train_run_attempt.remote( - _create_mock_train_run_attempt() + create_mock_train_run_attempt() ), state_actor.create_or_update_train_run.remote(run_with_optional), state_actor.create_or_update_train_run_attempt.remote(attempt_with_optional), diff --git a/python/ray/train/v2/tests/util.py b/python/ray/train/v2/tests/util.py index 9ed144367f11..f66f5e45f2f4 100644 --- a/python/ray/train/v2/tests/util.py +++ b/python/ray/train/v2/tests/util.py @@ -1,3 +1,6 @@ +import time +import uuid +from typing import Optional from unittest.mock import MagicMock from ray.train.context import TrainContext @@ -21,6 +24,15 @@ WorkerGroupState, WorkerStatus, ) +from ray.train.v2._internal.state.schema import ( + ActorStatus, + RunAttemptStatus, + RunStatus, + TrainResources, + TrainRun, + TrainRunAttempt, + TrainWorker, +) from ray.train.v2._internal.util import ObjectRefWrapper, time_monotonic @@ -134,6 +146,65 @@ def get(self): return self._obj +_RUN_ID = "mock_run_id" + + +def create_mock_train_run( + status: RunStatus = RunStatus.RUNNING, + controller_actor_id: Optional[str] = None, + end_time_ns: Optional[int] = None, + id: Optional[str] = None, + status_detail: Optional[str] = None, +): + return TrainRun( + schema_version=0, + id=id or _RUN_ID, + name="test_run", + job_id=uuid.uuid4().hex, + controller_actor_id=controller_actor_id or uuid.uuid4().hex, + status=status, + status_detail=status_detail, + start_time_ns=time.time_ns(), + end_time_ns=end_time_ns, + controller_log_file_path="/tmp/ray/session_xxx/logs/train/ray-train-app-controller.log", + ) + + +def create_mock_train_run_attempt( + attempt_id: str = "mock_attempt_id", + status: RunAttemptStatus = RunAttemptStatus.RUNNING, + end_time_ns: Optional[int] = None, + run_id: Optional[str] = None, + worker_status: Optional[ActorStatus] = ActorStatus.ALIVE, + status_detail: Optional[str] = None, +): + worker = TrainWorker( + world_rank=0, + local_rank=0, + node_rank=0, + actor_id=uuid.uuid4().hex, + node_id=uuid.uuid4().hex, + node_ip="127.0.0.1", + pid=1234, + gpu_ids=[0], + status=worker_status, + resources=TrainResources(resources={"CPU": 1}), + log_file_path="/tmp/ray/session_xxx/logs/train/ray-train-app-worker.log", + ) + + return TrainRunAttempt( + schema_version=0, + attempt_id=attempt_id, + run_id=run_id or _RUN_ID, + status=status, + status_detail=status_detail, + start_time_ns=time.time_ns(), + resources=[TrainResources(resources={"CPU": 1})], + workers=[worker], + end_time_ns=end_time_ns, + ) + + def create_dummy_run_context(**kwargs: dict) -> TrainRunContext: """Create a standardized TrainRunContext for testing. From 41c38eb563eb6e44af5b3cac17835d0753fafa81 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Fri, 11 Jul 2025 18:32:16 -0700 Subject: [PATCH 0170/1566] document unexpected queuing behavior in handle (#54542) Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/router.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 032fa9744958..6d3cc4c42802 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -151,6 +151,22 @@ def wrap_request_assignment(self, request_meta: RequestMetadata): max_queued_requests != -1 and self.num_queued_requests >= max_queued_requests ): + # Due to the async nature of request handling, we may reject more requests + # than strictly necessary. This is more likely to happen during + # high concurrency. Here's why: + # + # When multiple requests arrive simultaneously with max_queued_requests=1: + # 1. First request increments num_queued_requests to 1 + # 2. Before that request gets assigned to a replica and decrements the counter, + # we yield to the event loop + # 3. Other requests see num_queued_requests=1 and get rejected, even though + # the first request will soon free up the queue slot + # + # For example, with max_queued_requests=1 and 4 simultaneous requests: + # - Request 1 gets queued (num_queued_requests=1) + # - Requests 2,3,4 get rejected since queue appears full + # - Request 1 gets assigned and frees queue slot (num_queued_requests=0) + # - But we already rejected Request 2 which could have been queued e = BackPressureError( num_queued_requests=self.num_queued_requests, max_queued_requests=max_queued_requests, From f74fbeb6be8dc62f4f51959905ac0f7c320479af Mon Sep 17 00:00:00 2001 From: Rueian Date: Fri, 11 Jul 2025 18:43:56 -0700 Subject: [PATCH 0171/1566] [core][autoscaler] add the missing readonly/example.yaml to the build (#54535) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + python/ray/autoscaler/_private/providers.py | 2 +- .../_private/readonly/{example.yaml => defaults.yaml} | 0 python/ray/scripts/scripts.py | 3 +-- python/setup.py | 1 + 5 files changed, 4 insertions(+), 3 deletions(-) rename python/ray/autoscaler/_private/readonly/{example.yaml => defaults.yaml} (100%) diff --git a/BUILD.bazel b/BUILD.bazel index f4d1f1dec7e5..2236d689c7d9 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -985,6 +985,7 @@ filegroup( "python/ray/autoscaler/*.py", "python/ray/autoscaler/_private/*.py", "python/ray/autoscaler/_private/_azure/*.json", + "python/ray/autoscaler/_private/readonly/defaults.yaml", "python/ray/autoscaler/aws/defaults.yaml", "python/ray/autoscaler/azure/defaults.yaml", "python/ray/autoscaler/gcp/defaults.yaml", diff --git a/python/ray/autoscaler/_private/providers.py b/python/ray/autoscaler/_private/providers.py index e0aec4324b89..cdcd7cd54cea 100644 --- a/python/ray/autoscaler/_private/providers.py +++ b/python/ray/autoscaler/_private/providers.py @@ -129,7 +129,7 @@ def _load_fake_multinode_defaults_config(): def _load_read_only_defaults_config(): import ray.autoscaler._private.readonly as ray_readonly - return os.path.join(os.path.dirname(ray_readonly.__file__), "example.yaml") + return os.path.join(os.path.dirname(ray_readonly.__file__), "defaults.yaml") def _load_fake_multinode_docker_defaults_config(): diff --git a/python/ray/autoscaler/_private/readonly/example.yaml b/python/ray/autoscaler/_private/readonly/defaults.yaml similarity index 100% rename from python/ray/autoscaler/_private/readonly/example.yaml rename to python/ray/autoscaler/_private/readonly/defaults.yaml diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 76bf5958d9b1..c3fb6be37cde 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -856,8 +856,7 @@ def start( } if ( - no_monitor # KubeRay sets this flag when autoscaler is enabled. - and usage_constant.KUBERAY_ENV in os.environ # KubeRay exclusive. + usage_constant.KUBERAY_ENV in os.environ # KubeRay exclusive. and "RAY_CLOUD_INSTANCE_ID" in os.environ # required by autoscaler v2. and "RAY_NODE_TYPE_NAME" in os.environ # required by autoscaler v2. ): diff --git a/python/setup.py b/python/setup.py index 9c964783d860..c361001324d4 100644 --- a/python/setup.py +++ b/python/setup.py @@ -177,6 +177,7 @@ def get_packages(self): "ray/autoscaler/aws/cloudwatch/ray_prometheus_waiter.sh", "ray/autoscaler/azure/defaults.yaml", "ray/autoscaler/spark/defaults.yaml", + "ray/autoscaler/_private/readonly/defaults.yaml", "ray/autoscaler/_private/_azure/azure-vm-template.json", "ray/autoscaler/_private/_azure/azure-config-template.json", "ray/autoscaler/gcp/defaults.yaml", From ccce219173d9ca19176af0ab100ab7bd19cb3789 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Fri, 11 Jul 2025 19:06:33 -0700 Subject: [PATCH 0172/1566] [Data] Add Expression Support & with_columns API (#54322) Signed-off-by: Douglas Strodtman --- doc/source/data/api/api.rst | 1 + doc/source/data/api/expressions.rst | 36 ++ python/ray/data/BUILD | 14 + python/ray/data/_expression_evaluator.py | 71 ++++ .../logical/operators/map_operator.py | 17 + .../data/_internal/planner/plan_udf_map_op.py | 27 +- python/ray/data/dataset.py | 42 ++- python/ray/data/expressions.py | 319 ++++++++++++++++++ python/ray/data/tests/test_expressions.py | 64 ++++ python/ray/data/tests/test_map.py | 80 +++++ 10 files changed, 669 insertions(+), 2 deletions(-) create mode 100644 doc/source/data/api/expressions.rst create mode 100644 python/ray/data/_expression_evaluator.py create mode 100644 python/ray/data/expressions.py create mode 100644 python/ray/data/tests/test_expressions.py diff --git a/doc/source/data/api/api.rst b/doc/source/data/api/api.rst index d1643c96b08e..e0d0e94d9480 100644 --- a/doc/source/data/api/api.rst +++ b/doc/source/data/api/api.rst @@ -12,6 +12,7 @@ Ray Data API execution_options.rst aggregate.rst grouped_data.rst + expressions.rst data_context.rst preprocessor.rst llm.rst diff --git a/doc/source/data/api/expressions.rst b/doc/source/data/api/expressions.rst new file mode 100644 index 000000000000..69c1a50c93d0 --- /dev/null +++ b/doc/source/data/api/expressions.rst @@ -0,0 +1,36 @@ +.. _expressions-api: + +Expressions API +=============== + +.. currentmodule:: ray.data.expressions + +Expressions provide a way to specify column-based operations on datasets. +Use :func:`col` to reference columns and :func:`lit` to create literal values. +These can be combined with operators to create complex expressions for filtering, +transformations, and computations. + +Public API +---------- + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + col + lit + +Expression Classes +------------------ + +These classes represent the structure of expressions. You typically don't need to +instantiate them directly, but you may encounter them when working with expressions. + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + Expr + ColumnExpr + LiteralExpr + BinaryExpr \ No newline at end of file diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 4565846055df..adcc0eaae038 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -297,6 +297,20 @@ py_test( ], ) +py_test( + name = "test_expressions", + size = "small", + srcs = ["tests/test_expressions.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_avro", size = "small", diff --git a/python/ray/data/_expression_evaluator.py b/python/ray/data/_expression_evaluator.py new file mode 100644 index 000000000000..370ef90b83bc --- /dev/null +++ b/python/ray/data/_expression_evaluator.py @@ -0,0 +1,71 @@ +from __future__ import annotations + +import operator +from typing import Any, Callable, Dict + +import pandas as pd +import pyarrow as pa +import pyarrow.compute as pc + +from ray.data.expressions import ( + BinaryExpr, + ColumnExpr, + Expr, + LiteralExpr, + Operation, +) + +_PANDAS_EXPR_OPS_MAP = { + Operation.ADD: operator.add, + Operation.SUB: operator.sub, + Operation.MUL: operator.mul, + Operation.DIV: operator.truediv, + Operation.GT: operator.gt, + Operation.LT: operator.lt, + Operation.GE: operator.ge, + Operation.LE: operator.le, + Operation.EQ: operator.eq, + Operation.AND: operator.and_, + Operation.OR: operator.or_, +} + +_ARROW_EXPR_OPS_MAP = { + Operation.ADD: pc.add, + Operation.SUB: pc.subtract, + Operation.MUL: pc.multiply, + Operation.DIV: pc.divide, + Operation.GT: pc.greater, + Operation.LT: pc.less, + Operation.GE: pc.greater_equal, + Operation.LE: pc.less_equal, + Operation.EQ: pc.equal, + Operation.AND: pc.and_, + Operation.OR: pc.or_, +} + + +def _eval_expr_recursive(expr: "Expr", batch, ops: Dict["Operation", Callable]) -> Any: + """Generic recursive expression evaluator.""" + # TODO: Separate unresolved expressions (arbitrary AST with unresolved refs) + # and resolved expressions (bound to a schema) for better error handling + + if isinstance(expr, ColumnExpr): + return batch[expr.name] + if isinstance(expr, LiteralExpr): + return expr.value + if isinstance(expr, BinaryExpr): + return ops[expr.op]( + _eval_expr_recursive(expr.left, batch, ops), + _eval_expr_recursive(expr.right, batch, ops), + ) + raise TypeError(f"Unsupported expression node: {type(expr).__name__}") + + +def eval_expr(expr: "Expr", batch) -> Any: + """Recursively evaluate *expr* against a batch of the appropriate type.""" + if isinstance(batch, pd.DataFrame): + return _eval_expr_recursive(expr, batch, _PANDAS_EXPR_OPS_MAP) + elif isinstance(batch, pa.Table): + return _eval_expr_recursive(expr, batch, _ARROW_EXPR_OPS_MAP) + else: + raise TypeError(f"Unsupported batch type: {type(batch).__name__}") diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index ca5683aaf544..6b1bcefba5ad 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -7,6 +7,7 @@ from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.logical.operators.one_to_one_operator import AbstractOneToOne from ray.data.block import UserDefinedFunction +from ray.data.expressions import Expr from ray.data.preprocessor import Preprocessor if TYPE_CHECKING: @@ -263,6 +264,9 @@ def __init__( input_op: LogicalOperator, cols: Optional[List[str]] = None, cols_rename: Optional[Dict[str, str]] = None, + exprs: Optional[ + Dict[str, "Expr"] + ] = None, # TODO Remove cols and cols_rename and replace them with corresponding exprs compute: Optional[ComputeStrategy] = None, ray_remote_args: Optional[Dict[str, Any]] = None, ): @@ -275,9 +279,18 @@ def __init__( self._batch_size = None self._cols = cols self._cols_rename = cols_rename + self._exprs = exprs self._batch_format = "pyarrow" self._zero_copy_batch = True + if exprs is not None: + # Validate that all values are expressions + for name, expr in exprs.items(): + if not isinstance(expr, Expr): + raise TypeError( + f"Expected Expr for column '{name}', got {type(expr)}" + ) + @property def cols(self) -> Optional[List[str]]: return self._cols @@ -286,6 +299,10 @@ def cols(self) -> Optional[List[str]]: def cols_rename(self) -> Optional[Dict[str, str]]: return self._cols_rename + @property + def exprs(self) -> Optional[Dict[str, "Expr"]]: + return self._exprs + def can_modify_num_rows(self) -> bool: return False diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index f6ccf861bd0e..945d67717f6b 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -14,6 +14,7 @@ import ray from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import env_integer +from ray.data._expression_evaluator import eval_expr from ray.data._internal.compute import get_compute from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.interfaces.task_context import TaskContext @@ -106,17 +107,41 @@ def plan_project_op( columns = op.cols columns_rename = op.cols_rename + exprs = op.exprs def fn(block: Block) -> Block: try: - if not BlockAccessor.for_block(block).num_rows(): + block_accessor = BlockAccessor.for_block(block) + if not block_accessor.num_rows(): return block + + # 1. evaluate / add expressions + if exprs: + block_accessor = BlockAccessor.for_block(block) + new_columns = {} + for col_name in block_accessor.column_names(): + # For Arrow blocks, block[col_name] gives us a ChunkedArray + # For Pandas blocks, block[col_name] gives us a Series + new_columns[col_name] = block[col_name] + + # Add/update with expression results + for name, expr in exprs.items(): + result = eval_expr(expr, block) + new_columns[name] = result + + # Create a new block from the combined columns and add it + block = BlockAccessor.batch_to_block(new_columns) + + # 2. (optional) column projection if columns: block = BlockAccessor.for_block(block).select(columns) + + # 3. (optional) rename if columns_rename: block = block.rename_columns( [columns_rename.get(col, col) for col in block.schema.names] ) + return block except Exception as e: _try_wrap_udf_exception(e, block) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 089049ee64f5..9ac608bf913a 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -134,6 +134,7 @@ from ray.data._internal.execution.interfaces import Executor, NodeIdStr from ray.data.grouped_data import GroupedData +from ray.data.expressions import Expr logger = logging.getLogger(__name__) @@ -154,6 +155,7 @@ IOC_API_GROUP = "I/O and Conversion" IM_API_GROUP = "Inspecting Metadata" E_API_GROUP = "Execution" +EXPRESSION_API_GROUP = "Expressions" @PublicAPI @@ -776,6 +778,44 @@ def _map_batches_without_batch_size_validation( logical_plan = LogicalPlan(map_batches_op, self.context) return Dataset(plan, logical_plan) + @PublicAPI(api_group=EXPRESSION_API_GROUP, stability="alpha") + def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": + """ + Add new columns to the dataset. + + Examples: + + >>> import ray + >>> from ray.data.expressions import col + >>> ds = ray.data.range(100) + >>> ds.with_columns({"new_id": col("id") * 2, "new_id_2": col("id") * 3}).schema() + Column Type + ------ ---- + id int64 + new_id int64 + new_id_2 int64 + + Args: + exprs: A dictionary mapping column names to expressions that define the new column values. + + Returns: + A new dataset with the added columns evaluated via expressions. + """ + if not exprs: + raise ValueError("at least one expression is required") + + from ray.data._internal.logical.operators.map_operator import Project + + plan = self._plan.copy() + project_op = Project( + self._logical_plan.dag, + cols=None, + cols_rename=None, + exprs=exprs, + ) + logical_plan = LogicalPlan(project_op, self.context) + return Dataset(plan, logical_plan) + @PublicAPI(api_group=BT_API_GROUP) def add_column( self, @@ -5025,7 +5065,7 @@ def to_torch( using a local in-memory shuffle buffer, and this value will serve as the minimum number of rows that must be in the local in-memory shuffle buffer in order to yield a batch. When there are no more rows to add to - the buffer, the remaining rows in the buffer is drained. This + the buffer, the remaining rows in the buffer are drained. This buffer size must be greater than or equal to ``batch_size``, and therefore ``batch_size`` must also be specified when using local shuffling. diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py new file mode 100644 index 000000000000..cf59aa30b5e0 --- /dev/null +++ b/python/ray/data/expressions.py @@ -0,0 +1,319 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from enum import Enum +from typing import Any + +from ray.util.annotations import DeveloperAPI, PublicAPI + + +@DeveloperAPI(stability="alpha") +class Operation(Enum): + """Enumeration of supported operations in expressions. + + This enum defines all the binary operations that can be performed + between expressions, including arithmetic, comparison, and boolean operations. + + Attributes: + ADD: Addition operation (+) + SUB: Subtraction operation (-) + MUL: Multiplication operation (*) + DIV: Division operation (/) + GT: Greater than comparison (>) + LT: Less than comparison (<) + GE: Greater than or equal comparison (>=) + LE: Less than or equal comparison (<=) + EQ: Equality comparison (==) + AND: Logical AND operation (&) + OR: Logical OR operation (|) + """ + + ADD = "add" + SUB = "sub" + MUL = "mul" + DIV = "div" + GT = "gt" + LT = "lt" + GE = "ge" + LE = "le" + EQ = "eq" + AND = "and" + OR = "or" + + +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True) +class Expr(ABC): + """Base class for all expression nodes. + + This is the abstract base class that all expression types inherit from. + It provides operator overloads for building complex expressions using + standard Python operators. + + Expressions form a tree structure where each node represents an operation + or value. The tree can be evaluated against data batches to compute results. + + Example: + >>> from ray.data.expressions import col, lit + >>> # Create an expression tree: (col("x") + 5) * col("y") + >>> expr = (col("x") + lit(5)) * col("y") + >>> # This creates a BinaryExpr with operation=MUL + >>> # left=BinaryExpr(op=ADD, left=ColumnExpr("x"), right=LiteralExpr(5)) + >>> # right=ColumnExpr("y") + + Note: + This class should not be instantiated directly. Use the concrete + subclasses like ColumnExpr, LiteralExpr, etc. + """ + + @abstractmethod + def structurally_equals(self, other: Any) -> bool: + """Compare two expression ASTs for structural equality.""" + raise NotImplementedError + + def _bin(self, other: Any, op: Operation) -> "Expr": + """Create a binary expression with the given operation. + + Args: + other: The right operand expression or literal value + op: The operation to perform + + Returns: + A new BinaryExpr representing the operation + + Note: + If other is not an Expr, it will be automatically converted to a LiteralExpr. + """ + if not isinstance(other, Expr): + other = LiteralExpr(other) + return BinaryExpr(op, self, other) + + # arithmetic + def __add__(self, other: Any) -> "Expr": + """Addition operator (+).""" + return self._bin(other, Operation.ADD) + + def __radd__(self, other: Any) -> "Expr": + """Reverse addition operator (for literal + expr).""" + return LiteralExpr(other)._bin(self, Operation.ADD) + + def __sub__(self, other: Any) -> "Expr": + """Subtraction operator (-).""" + return self._bin(other, Operation.SUB) + + def __rsub__(self, other: Any) -> "Expr": + """Reverse subtraction operator (for literal - expr).""" + return LiteralExpr(other)._bin(self, Operation.SUB) + + def __mul__(self, other: Any) -> "Expr": + """Multiplication operator (*).""" + return self._bin(other, Operation.MUL) + + def __rmul__(self, other: Any) -> "Expr": + """Reverse multiplication operator (for literal * expr).""" + return LiteralExpr(other)._bin(self, Operation.MUL) + + def __truediv__(self, other: Any) -> "Expr": + """Division operator (/).""" + return self._bin(other, Operation.DIV) + + def __rtruediv__(self, other: Any) -> "Expr": + """Reverse division operator (for literal / expr).""" + return LiteralExpr(other)._bin(self, Operation.DIV) + + # comparison + def __gt__(self, other: Any) -> "Expr": + """Greater than operator (>).""" + return self._bin(other, Operation.GT) + + def __lt__(self, other: Any) -> "Expr": + """Less than operator (<).""" + return self._bin(other, Operation.LT) + + def __ge__(self, other: Any) -> "Expr": + """Greater than or equal operator (>=).""" + return self._bin(other, Operation.GE) + + def __le__(self, other: Any) -> "Expr": + """Less than or equal operator (<=).""" + return self._bin(other, Operation.LE) + + def __eq__(self, other: Any) -> "Expr": + """Equality operator (==).""" + return self._bin(other, Operation.EQ) + + # boolean + def __and__(self, other: Any) -> "Expr": + """Logical AND operator (&).""" + return self._bin(other, Operation.AND) + + def __or__(self, other: Any) -> "Expr": + """Logical OR operator (|).""" + return self._bin(other, Operation.OR) + + +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class ColumnExpr(Expr): + """Expression that references a column by name. + + This expression type represents a reference to an existing column + in the dataset. When evaluated, it returns the values from the + specified column. + + Args: + name: The name of the column to reference + + Example: + >>> from ray.data.expressions import col + >>> # Reference the "age" column + >>> age_expr = col("age") # Creates ColumnExpr(name="age") + """ + + name: str + + def structurally_equals(self, other: Any) -> bool: + return isinstance(other, ColumnExpr) and self.name == other.name + + +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class LiteralExpr(Expr): + """Expression that represents a constant scalar value. + + This expression type represents a literal value that will be broadcast + to all rows when evaluated. The value can be any Python object. + + Args: + value: The constant value to represent + + Example: + >>> from ray.data.expressions import lit + >>> # Create a literal value + >>> five = lit(5) # Creates LiteralExpr(value=5) + >>> name = lit("John") # Creates LiteralExpr(value="John") + """ + + value: Any + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, LiteralExpr) + and self.value == other.value + and type(self.value) is type(other.value) + ) + + +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class BinaryExpr(Expr): + """Expression that represents a binary operation between two expressions. + + This expression type represents an operation with two operands (left and right). + The operation is specified by the `op` field, which must be one of the + supported operations from the Operation enum. + + Args: + op: The operation to perform (from Operation enum) + left: The left operand expression + right: The right operand expression + + Example: + >>> from ray.data.expressions import col, lit, Operation + >>> # Manually create a binary expression (usually done via operators) + >>> expr = BinaryExpr(Operation.ADD, col("x"), lit(5)) + >>> # This is equivalent to: col("x") + lit(5) + """ + + op: Operation + left: Expr + right: Expr + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, BinaryExpr) + and self.op is other.op + and self.left.structurally_equals(other.left) + and self.right.structurally_equals(other.right) + ) + + +@PublicAPI(stability="beta") +def col(name: str) -> ColumnExpr: + """ + Reference an existing column by name. + + This is the primary way to reference columns in expressions. + The returned expression will extract values from the specified + column when evaluated. + + Args: + name: The name of the column to reference + + Returns: + A ColumnExpr that references the specified column + + Example: + >>> from ray.data.expressions import col + >>> # Reference columns in an expression + >>> expr = col("price") * col("quantity") + >>> + >>> # Use with Dataset.with_columns() + >>> import ray + >>> ds = ray.data.from_items([{"price": 10, "quantity": 2}]) + >>> ds = ds.with_columns({"total": col("price") * col("quantity")}) + """ + return ColumnExpr(name) + + +@PublicAPI(stability="beta") +def lit(value: Any) -> LiteralExpr: + """ + Create a literal expression from a constant value. + + This creates an expression that represents a constant scalar value. + The value will be broadcast to all rows when the expression is evaluated. + + Args: + value: The constant value to represent. Can be any Python object + (int, float, str, bool, etc.) + + Returns: + A LiteralExpr containing the specified value + + Example: + >>> from ray.data.expressions import col, lit + >>> # Create literals of different types + >>> five = lit(5) + >>> pi = lit(3.14159) + >>> name = lit("Alice") + >>> flag = lit(True) + >>> + >>> # Use in expressions + >>> expr = col("age") + lit(1) # Add 1 to age column + >>> + >>> # Use with Dataset.with_columns() + >>> import ray + >>> ds = ray.data.from_items([{"age": 25}, {"age": 30}]) + >>> ds = ds.with_columns({"age_plus_one": col("age") + lit(1)}) + """ + return LiteralExpr(value) + + +# ────────────────────────────────────── +# Public API for evaluation +# ────────────────────────────────────── +# Note: Implementation details are in _expression_evaluator.py + +# Re-export eval_expr for public use + +__all__ = [ + "Operation", + "Expr", + "ColumnExpr", + "LiteralExpr", + "BinaryExpr", + "col", + "lit", +] diff --git a/python/ray/data/tests/test_expressions.py b/python/ray/data/tests/test_expressions.py new file mode 100644 index 000000000000..ac4783bbb8a5 --- /dev/null +++ b/python/ray/data/tests/test_expressions.py @@ -0,0 +1,64 @@ +import pytest + +from ray.data.expressions import Expr, col, lit + +# Tuples of (expr1, expr2, expected_result) +STRUCTURAL_EQUALITY_TEST_CASES = [ + # Base cases: ColumnExpr + (col("a"), col("a"), True), + (col("a"), col("b"), False), + # Base cases: LiteralExpr + (lit(1), lit(1), True), + (lit(1), lit(2), False), + (lit("x"), lit("y"), False), + # Different expression types + (col("a"), lit("a"), False), + (lit(1), lit(1.0), False), + # Simple binary expressions + (col("a") + 1, col("a") + 1, True), + (col("a") + 1, col("a") + 2, False), # Different literal + (col("a") + 1, col("b") + 1, False), # Different column + (col("a") + 1, col("a") - 1, False), # Different operator + # Complex, nested binary expressions + ((col("a") * 2) + (col("b") / 3), (col("a") * 2) + (col("b") / 3), True), + ((col("a") * 2) + (col("b") / 3), (col("a") * 2) - (col("b") / 3), False), + ((col("a") * 2) + (col("b") / 3), (col("c") * 2) + (col("b") / 3), False), + ((col("a") * 2) + (col("b") / 3), (col("a") * 2) + (col("b") / 4), False), + # Commutative operations are not structurally equal + (col("a") + col("b"), col("b") + col("a"), False), + (lit(1) * col("c"), col("c") * lit(1), False), +] + + +@pytest.mark.parametrize( + "expr1, expr2, expected", + STRUCTURAL_EQUALITY_TEST_CASES, + ids=[f"{i}" for i in range(len(STRUCTURAL_EQUALITY_TEST_CASES))], +) +def test_structural_equality(expr1, expr2, expected): + """Tests `structurally_equals` for various expression trees.""" + assert expr1.structurally_equals(expr2) is expected + # Test for symmetry + assert expr2.structurally_equals(expr1) is expected + + +def test_operator_eq_is_not_structural_eq(): + """ + Confirms that `__eq__` (==) builds an expression, while + `structurally_equals` compares two existing expressions. + """ + # `==` returns a BinaryExpr, not a boolean + op_eq_expr = col("a") == col("a") + assert isinstance(op_eq_expr, Expr) + assert not isinstance(op_eq_expr, bool) + + # `structurally_equals` returns a boolean + struct_eq_result = col("a").structurally_equals(col("a")) + assert isinstance(struct_eq_result, bool) + assert struct_eq_result is True + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 7653dd65031b..896cd78de907 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -16,6 +16,7 @@ import pyarrow.compute as pc import pyarrow.parquet as pq import pytest +from pkg_resources import parse_version import ray from ray._common.test_utils import wait_for_condition @@ -35,6 +36,7 @@ ) from ray.data.context import DataContext from ray.data.exceptions import UserCodeException +from ray.data.expressions import col, lit from ray.data.tests.conftest import * # noqa from ray.data.tests.test_util import ConcurrencyCounter # noqa from ray.data.tests.util import column_udf, column_udf_class, extract_values @@ -2206,6 +2208,84 @@ def func(x, y): assert r.startswith("OneHotEncoder"), r +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_columns requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "exprs, expected_value", + [ + # Arithmetic operations + ({"result": col("id") + 1}, 1), # 0 + 1 = 1 + ({"result": col("id") + 5}, 5), # 0 + 5 = 5 + ({"result": col("id") - 1}, -1), # 0 - 1 = -1 + ({"result": col("id") * 2}, 0), # 0 * 2 = 0 + ({"result": col("id") * 3}, 0), # 0 * 3 = 0 + ({"result": col("id") / 2}, 0.0), # 0 / 2 = 0.0 + # More complex arithmetic + ({"result": (col("id") + 1) * 2}, 2), # (0 + 1) * 2 = 2 + ({"result": (col("id") * 2) + 3}, 3), # 0 * 2 + 3 = 3 + # Comparison operations + ({"result": col("id") > 0}, False), # 0 > 0 = False + ({"result": col("id") >= 0}, True), # 0 >= 0 = True + ({"result": col("id") < 1}, True), # 0 < 1 = True + ({"result": col("id") <= 0}, True), # 0 <= 0 = True + ({"result": col("id") == 0}, True), # 0 == 0 = True + # Operations with literals + ({"result": col("id") + lit(10)}, 10), # 0 + 10 = 10 + ({"result": col("id") * lit(5)}, 0), # 0 * 5 = 0 + ({"result": lit(2) + col("id")}, 2), # 2 + 0 = 2 + ({"result": lit(10) / (col("id") + 1)}, 10.0), # 10 / (0 + 1) = 10.0 + ], +) +def test_with_columns(ray_start_regular_shared, exprs, expected_value): + """Verify that `with_columns` works with various operations.""" + ds = ray.data.range(5).with_columns(exprs) + result = ds.take(1)[0] + assert result["id"] == 0 + assert result["result"] == expected_value + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_columns requires PyArrow >= 20.0.0", +) +def test_with_columns_nonexistent_column(ray_start_regular_shared): + """Verify that referencing a non-existent column with col() raises an exception.""" + # Create a dataset with known column "id" + ds = ray.data.range(5) + + # Try to reference a non-existent column - this should raise an exception + with pytest.raises(UserCodeException): + ds.with_columns({"result": col("nonexistent_column") + 1}).materialize() + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_columns requires PyArrow >= 20.0.0", +) +def test_with_columns_multiple_expressions(ray_start_regular_shared): + """Verify that `with_columns` correctly handles multiple expressions at once.""" + ds = ray.data.range(5) + + exprs = { + "plus_one": col("id") + 1, + "times_two": col("id") * 2, + "ten_minus_id": 10 - col("id"), + } + + ds = ds.with_columns(exprs) + + first_row = ds.take(1)[0] + assert first_row["id"] == 0 + assert first_row["plus_one"] == 1 + assert first_row["times_two"] == 0 + assert first_row["ten_minus_id"] == 10 + + # Ensure all new columns exist in the schema. + assert set(ds.schema().names) == {"id", "plus_one", "times_two", "ten_minus_id"} + + if __name__ == "__main__": import sys From fbb938867175532e3bdd3e212ee699ebe6c9c663 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 11 Jul 2025 19:28:42 -0700 Subject: [PATCH 0173/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (5/N): Change source of dashboards from ray serve llm metrics to vllm metrics (#54531) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../dashboards/serve_llm_dashboard_panels.py | 84 +++++++------------ .../serve_llm_grafana_dashboard_base.json | 29 +------ .../_internal/serve/configs/server_models.py | 2 +- 3 files changed, 33 insertions(+), 82 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py index 1a8b67879a93..1c5ae6b349c0 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py @@ -281,12 +281,12 @@ unit="Tokens", targets=[ Target( - expr='(sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid", model_id !~ ".+--.+", {global_filters}}}[1d])))', - legend="Input: {{model_id}}", + expr='(sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d])))', + legend="Input: {{model_name}}", ), Target( - expr='(sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid", model_id !~ ".+--.+", {global_filters}}}[1d])))', - legend="Generated: {{model_id}}", + expr='(sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d])))', + legend="Generated: {{model_name}}", ), ], fill=1, @@ -302,12 +302,12 @@ unit="Tokens", targets=[ Target( - expr='delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid", {global_filters}}}[1h])', - legend="Input: {{model_id}}", + expr='delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1h])', + legend="Input: {{model_name}}", ), Target( - expr='delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid", {global_filters}}}[1h])', - legend="Generated: {{model_id}}", + expr='delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1h])', + legend="Generated: {{model_name}}", ), ], fill=1, @@ -318,37 +318,13 @@ ), Panel( id=16, - title="Requests Last Hour", - description="", - unit="Requests", - targets=[ - Target( - expr='(sum by (WorkerId) (delta(ray_serve_llm_requests_errored{{WorkerId=~"$workerid", {global_filters}}}[1h])))', - legend="Errored", - ), - Target( - expr='(sum by (WorkerId) (delta(ray_serve_llm_requests_finished{{WorkerId=~"$workerid", {global_filters}}}[1h])))', - legend="Finished", - ), - Target( - expr='(sum by (WorkerId) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid", {global_filters}}}[1h])))', - legend="Started", - ), - ], - fill=1, - linewidth=2, - stack=False, - grid_pos=GridPos(0, 56, 12, 8), - ), - Panel( - id=17, title="Distribution of Requests Per Model Last 24 Hours", description="", unit="Requests", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid", model_id !~ ".+--.+", {global_filters}}}[1d]))', - legend="{{model_id}}", + expr='sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1d]))', + legend="{{model_name}}", ), ], fill=1, @@ -364,8 +340,8 @@ unit="none", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid", {global_filters}}}[1d])) / sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid", {global_filters}}}[1d]))', - legend="{{model_id}}", + expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d])) / sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d]))', + legend="{{model_name}}", ), ], fill=1, @@ -381,8 +357,8 @@ unit="Tokens", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid", {global_filters}}}[1d])) + sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid", {global_filters}}}[1d]))', - legend="{{model_id}}", + expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d])) + sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1d]))', + legend="{{model_name}}", ), ], fill=1, @@ -398,8 +374,8 @@ unit="Tokens/s", targets=[ Target( - expr='max_over_time(sum by (model_id) (rate(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid", {global_filters}}}[2m]))[24h:])', - legend="{{model_id}}", + expr='max_over_time(sum by (model_name) (rate(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[2m]))[24h:])', + legend="{{model_name}}", ), ], fill=1, @@ -415,8 +391,8 @@ unit="Requests", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="{{ model_id}}", + expr='sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="{{ model_name}}", ), ], fill=1, @@ -432,8 +408,8 @@ unit="Requests", targets=[ Target( - expr='(sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid",model_id !~ ".+--.+", model_id=~"$ray_llm_model_id", {global_filters}}}[1w])) +\nsum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid",model_id !~ ".+--.+", model_id=~"$ray_llm_model_id", {global_filters}}}[1w]))) / sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid",model_id !~ ".+--.+", model_id=~"$ray_llm_model_id", {global_filters}}}[1w]))', - legend="{{ model_id}}", + expr='(sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) +\nsum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="{{ model_name}}", ), ], fill=1, @@ -449,8 +425,8 @@ unit="Requests", targets=[ Target( - expr='(sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w])) + sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w])))/ sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="{{ model_id}}", + expr='(sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) + sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])))/ sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="{{ model_name}}", ), ], fill=1, @@ -466,12 +442,12 @@ unit="Tokens", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="In: {{ model_id}}", + expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="In: {{ model_name}}", ), Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="Out: {{ model_id }}", + expr='sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="Out: {{ model_name }}", ), ], fill=1, @@ -487,12 +463,12 @@ unit="Tokens", targets=[ Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_input{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w])) / sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="In: {{ model_id}}", + expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="In: {{ model_name}}", ), Target( - expr='sum by (model_id) (delta(ray_serve_llm_tokens_generated{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w])) / sum by (model_id) (delta(ray_serve_llm_requests_started{{WorkerId=~"$workerid",model_id !~ ".+--.+", {global_filters}}}[1w]))', - legend="Out: {{ model_id}}", + expr='sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="Out: {{ model_name}}", ), ], fill=1, diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json index 5ff072ac110d..24ff67a2205d 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json @@ -65,40 +65,15 @@ ] } }, - { - "name": "ray_llm_model_id", - "label": "Ray LLM Model ID", - "type": "query", - "hide": 0, - "datasource": "${datasource}", - "definition": "label_values(ray_serve_llm_tokens_input_total{{{global_filters}}}, model_id)", - "query": { - "query": "label_values(ray_serve_llm_tokens_input_total{{{global_filters}}}, model_id)", - "refId": "StandardVariableQuery" - }, - "refresh": 1, - "includeAll": true, - "multi": false, - "allValue": ".*", - "current": { - "selected": true, - "text": [ - "All" - ], - "value": [ - "$__all" - ] - } - }, { "name": "workerid", "label": "Worker ID", "type": "query", "hide": 0, "datasource": "${datasource}", - "definition": "label_values(ray_serve_llm_tokens_input_total{{{global_filters}}}, WorkerId)", + "definition": "label_values(ray_vllm:request_prompt_tokens_sum{{{global_filters}}}, WorkerId)", "query": { - "query": "label_values(ray_serve_llm_tokens_input_total{{{global_filters}}}, WorkerId)", + "query": "label_values(ray_vllm:request_prompt_tokens_sum{{{global_filters}}}, WorkerId)", "refId": "StandardVariableQuery" }, "refresh": 1, diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 72857df44069..8745ac1578f5 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -235,7 +235,7 @@ class LLMConfig(BaseModelExtended): log_engine_metrics: Optional[bool] = Field( False, - description="Enable additional engine metrics via Ray Prometheus port. Only compatible with V1 vLLM engine.", + description="Enable additional engine metrics via Ray Prometheus port. Only compatible with V1 vLLM engine. NOTE: once v1 is fully rolled out, we will remove this flag and turn it on by default.", ) _supports_vision: bool = PrivateAttr(False) From b2cfc64b7403b74afb075a70f51ab44e531ff34b Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Fri, 11 Jul 2025 20:30:00 -0700 Subject: [PATCH 0174/1566] [core][telemetry/10] support custom gauge+counter+sum metrics (#53734) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This is a series of PR to migrate metric collection from opencencus to openlemetry. For context on the existing components, see https://github.com/ray-project/ray/pull/53098. -------------- This PR adds support for Gauge, Counter, and Sum metrics via their corresponding C++ APIs. These APIs are also exposed to users through the Python interface. Key details: - The current implementation includes a feature called "export counter as gauge" (see: [[Core] Export Ray Counter as Prometheus Counter metric #43795](https://github.com/ray-project/ray/pull/43795). We've been advising users to migrate away from this feature for over a year. After discussing with @jjyao, we've agreed to officially deprecate it as part of this migration. This simplifies maintenance going forward. - The existing API allows recording metrics with additional tags (reference: [metrics.py#L199](https://github.com/ray-project/ray/blob/master/python/ray/util/metrics.py#L199)). However, if these tags are not declared at metric creation time, they are dropped. It’s unclear whether this is an intentional feature or a side effect of how OpenCensus enforces tag declaration. I’ve preserved the current behavior for now. With the new OpenTelemetry-based implementation, we can revise this behavior more easily if desired. Test: - CI --------- Signed-off-by: can Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/tests/test_metrics_agent.py | 36 ++++++++---- python/ray/util/metrics.py | 20 ++++++- src/ray/stats/metric.cc | 58 +++++++++++++++++++ src/ray/stats/metric.h | 5 ++ src/ray/stats/metric_defs.h | 2 +- .../tests/metric_with_open_telemetry_test.cc | 31 ++++++++++ .../open_telemetry_metric_recorder.cc | 21 +++++-- 7 files changed, 155 insertions(+), 18 deletions(-) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index a842e5d28dd1..534e1694e2ee 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -306,16 +306,28 @@ def test_cases(): assert any( "core_worker" in components for components in components_dict.values() ) + # The list of custom or user defined metrics. Open Telemetry backend does not + # support exporting Counter as Gauge, so we skip some metrics in that case. + custom_metrics = ( + [ + "test_counter", + "test_counter_total", + "test_histogram_bucket", + "test_driver_counter", + "test_driver_counter_total", + "test_gauge", + ] + if os.environ.get("RAY_experimental_enable_open_telemetry_on_core") != "1" + else [ + "test_counter_total", + "test_histogram_bucket", + "test_driver_counter_total", + "test_gauge", + ] + ) # Make sure our user defined metrics exist and have the correct types - for metric_name in [ - "test_counter", - "test_counter_total", - "test_histogram_bucket", - "test_driver_counter", - "test_driver_counter_total", - "test_gauge", - ]: + for metric_name in custom_metrics: metric_name = f"ray_{metric_name}" assert metric_name in metric_names if metric_name.endswith("_total"): @@ -702,7 +714,11 @@ def verify(): @pytest.mark.skipif(sys.platform == "win32", reason="Not working in Windows.") -def test_counter(shutdown_only): +@pytest.mark.skipif( + os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1", + reason="OpenTelemetry backend does not support Counter exported as gauge.", +) +def test_counter_exported_as_gauge(shutdown_only): # Test to make sure Counter emits the right Prometheus metrics context = ray.init() @@ -753,7 +769,7 @@ def check_metrics(): @pytest.mark.skipif(sys.platform == "win32", reason="Not working in Windows.") -def test_counter_without_export_counter_as_gauge(monkeypatch, shutdown_only): +def test_counter(monkeypatch, shutdown_only): # Test to make sure we don't export counter as gauge # if RAY_EXPORT_COUNTER_AS_GAUGE is 0 monkeypatch.setenv("RAY_EXPORT_COUNTER_AS_GAUGE", "0") diff --git a/python/ray/util/metrics.py b/python/ray/util/metrics.py index 53bc84bec508..ec1988044b65 100644 --- a/python/ray/util/metrics.py +++ b/python/ray/util/metrics.py @@ -1,11 +1,13 @@ import logging import re import warnings +import os from typing import Dict, Any, List, Optional, Tuple, Union from ray._raylet import ( - Sum as CythonCount, + Count as CythonCount, + Sum as CythonSum, Histogram as CythonHistogram, Gauge as CythonGauge, ) # noqa: E402 @@ -189,7 +191,21 @@ def __init__( if self._discard_metric: self._metric = None else: - self._metric = CythonCount(self._name, self._description, self._tag_keys) + if os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1": + """ + For the new opentelemetry implementation, we'll correctly use Counter + rather than Sum. + """ + self._metric = CythonCount( + self._name, self._description, self._tag_keys + ) + else: + """ + For the previous opencensus implementation, we used Sum to support + exporting Counter as a gauge metric. We'll drop that feature in the + new opentelemetry implementation. + """ + self._metric = CythonSum(self._name, self._description, self._tag_keys) def __reduce__(self): deserializer = self.__class__ diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index 035c0ab0e3a6..331436b7581a 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -113,6 +113,46 @@ void Metric::Record(double value, TagsType tags) { return; } + if (::RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + // Register the metric if it hasn't been registered yet; otherwise, this is a no-op. + // We defer metric registration until the first time it's recorded, rather than during + // construction, to avoid issues with static initialization order. Specifically, our + // internal Metric objects (see metric_defs.h) are declared as static, and + // constructing another static object within their constructor can lead to crashes at + // program exit due to unpredictable destruction order. + // + // Once these internal Metric objects are migrated to use DEFINE_stats, we can + // safely move the registration logic to the constructor. See + // https://github.com/ray-project/ray/issues/54538 for the backlog of Ray metric infra + // improvements. + // + // This function is thread-safe. + RegisterOpenTelemetryMetric(); + if (OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered(name_)) { + // Collect tags from both the metric-specific tags and the global tags. + absl::flat_hash_map open_telemetry_tags; + std::unordered_set tag_keys_set; + for (const auto &tag_key : tag_keys_) { + tag_keys_set.insert(tag_key.name()); + } + // Insert metric-specific tags that match the expected keys. + for (const auto &tag : tags) { + const std::string &key = tag.first.name(); + if (tag_keys_set.count(key)) { + open_telemetry_tags[key] = tag.second; + } + } + // Add global tags, overwriting any existing tag keys. + for (const auto &tag : StatsConfig::instance().GetGlobalTags()) { + open_telemetry_tags[tag.first.name()] = tag.second; + } + OpenTelemetryMetricRecorder::GetInstance().SetMetricValue( + name_, std::move(open_telemetry_tags), value); + + return; + } + } + absl::MutexLock lock(®istration_mutex_); if (measure_ == nullptr) { // Measure could be registered before, so we try to get it first. @@ -159,6 +199,11 @@ void Metric::Record(double value, std::unordered_map t Metric::~Metric() { opencensus::stats::StatsExporter::RemoveView(name_); } +void Gauge::RegisterOpenTelemetryMetric() { + // Register the metric in OpenTelemetry. + OpenTelemetryMetricRecorder::GetInstance().RegisterGaugeMetric(name_, description_); +} + void Gauge::RegisterView() { opencensus::stats::ViewDescriptor view_descriptor = opencensus::stats::ViewDescriptor() @@ -169,6 +214,11 @@ void Gauge::RegisterView() { internal::RegisterAsView(view_descriptor, tag_keys_); } +void Histogram::RegisterOpenTelemetryMetric() { + // Histogram is not supported in OpenTelemetry. + return; +} + void Histogram::RegisterView() { opencensus::stats::ViewDescriptor view_descriptor = opencensus::stats::ViewDescriptor() @@ -181,6 +231,10 @@ void Histogram::RegisterView() { internal::RegisterAsView(view_descriptor, tag_keys_); } +void Count::RegisterOpenTelemetryMetric() { + OpenTelemetryMetricRecorder::GetInstance().RegisterCounterMetric(name_, description_); +} + void Count::RegisterView() { opencensus::stats::ViewDescriptor view_descriptor = opencensus::stats::ViewDescriptor() @@ -192,6 +246,10 @@ void Count::RegisterView() { internal::RegisterAsView(view_descriptor, tag_keys_); } +void Sum::RegisterOpenTelemetryMetric() { + OpenTelemetryMetricRecorder::GetInstance().RegisterSumMetric(name_, description_); +} + void Sum::RegisterView() { opencensus::stats::ViewDescriptor view_descriptor = opencensus::stats::ViewDescriptor() diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 1f7c167ab9f2..88411f37e5b2 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -141,6 +141,7 @@ class Metric { protected: virtual void RegisterView() = 0; + virtual void RegisterOpenTelemetryMetric() = 0; protected: std::string name_; @@ -166,6 +167,7 @@ class Gauge : public Metric { private: void RegisterView() override; + void RegisterOpenTelemetryMetric() override; }; // class Gauge @@ -180,6 +182,7 @@ class Histogram : public Metric { private: void RegisterView() override; + void RegisterOpenTelemetryMetric() override; private: std::vector boundaries_; @@ -196,6 +199,7 @@ class Count : public Metric { private: void RegisterView() override; + void RegisterOpenTelemetryMetric() override; }; // class Count @@ -209,6 +213,7 @@ class Sum : public Metric { private: void RegisterView() override; + void RegisterOpenTelemetryMetric() override; }; // class Sum diff --git a/src/ray/stats/metric_defs.h b/src/ray/stats/metric_defs.h index cf54a8d5e6d0..ebd44994d3a0 100644 --- a/src/ray/stats/metric_defs.h +++ b/src/ray/stats/metric_defs.h @@ -235,7 +235,7 @@ static Sum NumCachedWorkersSkippedRuntimeEnvironmentMismatch( "workers"); static Sum NumCachedWorkersSkippedDynamicOptionsMismatch( - "internal_num_processes_skipped_job_mismatch", + "internal_num_processes_skipped_dynamic_options_mismatch", "The total number of cached workers skipped due to dynamic options mismatch.", "workers"); diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index 9d63c0a5f290..023cfc8c3dbd 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -20,6 +20,7 @@ namespace ray { namespace telemetry { +using namespace std::literals; using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; using StatsConfig = ray::stats::StatsConfig; @@ -27,6 +28,11 @@ DECLARE_stats(metric_gauge_test); DEFINE_stats( metric_gauge_test, "A test gauge metric", ("Tag1", "Tag2"), (), ray::stats::GAUGE); +static ray::stats::Gauge LegacyMetricGaugeTest("legacy_metric_gauge_test", + "A legacy test gauge metric", + "", + {"Tag1", "Tag2"}); + DECLARE_stats(metric_counter_test); DEFINE_stats(metric_counter_test, "A test counter metric", @@ -34,9 +40,19 @@ DEFINE_stats(metric_counter_test, (), ray::stats::COUNT); +static ray::stats::Count LegacyMetricCounterTest("legacy_metric_counter_test", + "A legacy test counter metric", + "", + {"Tag1", "Tag2"}); + DECLARE_stats(metric_sum_test); DEFINE_stats(metric_sum_test, "A test sum metric", ("Tag1", "Tag2"), (), ray::stats::SUM); +static ray::stats::Sum LegacyMetricSumTest("legacy_metric_sum_test", + "A legacy test sum metric", + "", + {"Tag1", "Tag2"}); + class MetricTest : public ::testing::Test { public: MetricTest() = default; @@ -70,6 +86,7 @@ TEST_F(MetricTest, TestGaugeMetric) { ASSERT_TRUE( OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered("metric_gauge_test")); STATS_metric_gauge_test.Record(42.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); + LegacyMetricGaugeTest.Record(24.0, {{"Tag1"sv, "Value1"}, {"Tag2"sv, "Value2"}}); // Test valid tags for a registered metric. ASSERT_EQ(GetObservableMetricValue("metric_gauge_test", {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), @@ -82,6 +99,14 @@ TEST_F(MetricTest, TestGaugeMetric) { ASSERT_EQ(GetObservableMetricValue("metric_gauge_test_unregistered", {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), std::nullopt); + // Test valid tags for a legacy metric. + ASSERT_EQ(GetObservableMetricValue("legacy_metric_gauge_test", + {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), + 24.0); + // Test invalid tags for a legacy metric. + ASSERT_EQ(GetObservableMetricValue("legacy_metric_gauge_test", + {{"Tag1", "Value1"}, {"Tag2", "Value3"}}), + std::nullopt); } TEST_F(MetricTest, TestCounterMetric) { @@ -91,6 +116,9 @@ TEST_F(MetricTest, TestCounterMetric) { // because open telemetry does not provide a way to retrieve the value of a counter. // Checking value is performed via e2e tests instead (e.g., in test_metrics_agent.py). STATS_metric_counter_test.Record(100.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); + LegacyMetricCounterTest.Record(100.0, {{"Tag1"sv, "Value1"}, {"Tag2"sv, "Value2"}}); + ASSERT_TRUE(OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered( + "legacy_metric_counter_test")); } TEST_F(MetricTest, TestSumMetric) { @@ -100,6 +128,9 @@ TEST_F(MetricTest, TestSumMetric) { // because open telemetry does not provide a way to retrieve the value of a counter. // Checking value is performed via e2e tests instead (e.g., in test_metrics_agent.py). STATS_metric_sum_test.Record(200.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); + LegacyMetricSumTest.Record(200.0, {{"Tag1"sv, "Value1"}, {"Tag2"sv, "Value2"}}); + ASSERT_TRUE(OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered( + "legacy_metric_sum_test")); } } // namespace telemetry diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.cc b/src/ray/telemetry/open_telemetry_metric_recorder.cc index 099fa17a0e13..f7cc20d40de2 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.cc +++ b/src/ray/telemetry/open_telemetry_metric_recorder.cc @@ -119,8 +119,12 @@ void OpenTelemetryMetricRecorder::RegisterGaugeMetric(const std::string &name, instrument; { std::lock_guard lock(mutex_); - RAY_CHECK(!registered_instruments_.contains(name)) - << "Metric " << name << " is already registered"; + if (registered_instruments_.contains(name)) { + // Already registered. Note that this is a common case for metrics defined + // via Metric interface. See https://github.com/ray-project/ray/issues/54538 + // for more details. + return; + } gauge_metric_names_.push_back(name); name_ptr = &gauge_metric_names_.back(); instrument = GetMeter()->CreateDoubleObservableGauge(name, description, ""); @@ -150,8 +154,12 @@ bool OpenTelemetryMetricRecorder::IsMetricRegistered(const std::string &name) { void OpenTelemetryMetricRecorder::RegisterCounterMetric(const std::string &name, const std::string &description) { std::lock_guard lock(mutex_); - RAY_CHECK(!registered_instruments_.contains(name)) - << "Metric " << name << " is already registered"; + if (registered_instruments_.contains(name)) { + // Already registered. Note that this is a common case for metrics defined + // via Metric interface. See https://github.com/ray-project/ray/issues/54538 + // for more details. + return; + } auto instrument = GetMeter()->CreateDoubleCounter(name, description, ""); registered_instruments_[name] = std::move(instrument); } @@ -160,7 +168,10 @@ void OpenTelemetryMetricRecorder::RegisterSumMetric(const std::string &name, const std::string &description) { std::lock_guard lock(mutex_); if (registered_instruments_.contains(name)) { - return; // Already registered + // Already registered. Note that this is a common case for metrics defined + // via Metric interface. See https://github.com/ray-project/ray/issues/54538 + // for more details. + return; } auto instrument = GetMeter()->CreateDoubleUpDownCounter(name, description, ""); registered_instruments_[name] = std::move(instrument); From 143b4a18d5c888e8b9de5699768286bbe84be9b1 Mon Sep 17 00:00:00 2001 From: Jack Francis Date: Fri, 11 Jul 2025 21:54:36 -0700 Subject: [PATCH 0175/1566] [Core] Add file_mounts to azure example-minimal config (#54533) Signed-off-by: Jack Francis Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/azure/example-minimal.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/python/ray/autoscaler/azure/example-minimal.yaml b/python/ray/autoscaler/azure/example-minimal.yaml index 601a2a92731a..768eef14a325 100644 --- a/python/ray/autoscaler/azure/example-minimal.yaml +++ b/python/ray/autoscaler/azure/example-minimal.yaml @@ -19,3 +19,8 @@ auth: ssh_private_key: ~/.ssh/id_rsa # changes to this should match what is specified in file_mounts ssh_public_key: ~/.ssh/id_rsa.pub + +# Files or directories to copy to the head and worker nodes. The format is a +# dictionary from REMOTE_PATH: LOCAL_PATH, e.g. +file_mounts: { + "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} From 8884227059a42664cc7cae1a4ede2c81dcc1c3f6 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 12 Jul 2025 00:47:30 -0700 Subject: [PATCH 0176/1566] [deps] upgrade python protobuf to 4 (#54496) key part is to downgrade `tensorflow-metadata` to `1.13.1` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements/cloud-requirements.txt | 2 +- .../ml/data-test-requirements.txt | 6 +- python/requirements/test-requirements.txt | 6 ++ python/requirements_compiled.txt | 15 +++-- .../requirements_compiled_ray_py311_cpu.txt | 55 +++++++++---------- .../requirements_compiled_ray_py311_cu121.txt | 55 +++++++++---------- .../requirements_compiled_ray_py311_cu128.txt | 55 +++++++++---------- ...quirements_compiled_ray_test_py311_cpu.txt | 55 +++++++++---------- ...irements_compiled_ray_test_py311_cu121.txt | 55 +++++++++---------- ...irements_compiled_ray_test_py311_cu128.txt | 55 +++++++++---------- ...requirements_compiled_rayllm_py311_cpu.txt | 55 +++++++++---------- ...quirements_compiled_rayllm_py311_cu121.txt | 55 +++++++++---------- ...quirements_compiled_rayllm_py311_cu128.txt | 55 +++++++++---------- ...rements_compiled_rayllm_test_py311_cpu.txt | 55 +++++++++---------- ...ments_compiled_rayllm_test_py311_cu121.txt | 55 +++++++++---------- ...ments_compiled_rayllm_test_py311_cu128.txt | 55 +++++++++---------- .../byod/requirements_byod_3.9.txt | 48 ++++++++-------- .../byod/requirements_ml_byod_3.9.txt | 48 ++++++++-------- 18 files changed, 375 insertions(+), 410 deletions(-) diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index 0a61ff6e65c0..c89e70cef0db 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -2,7 +2,7 @@ jupyterlab==3.6.1 ipywidgets google-cloud-storage grpcio>=1.66.1 -grpcio-tools +grpcio-tools>=1.62.3 pyyaml pyopenssl certifi diff --git a/python/requirements/ml/data-test-requirements.txt b/python/requirements/ml/data-test-requirements.txt index 3052e3c23542..0afad966afb1 100644 --- a/python/requirements/ml/data-test-requirements.txt +++ b/python/requirements/ml/data-test-requirements.txt @@ -8,9 +8,9 @@ pytest-repeat soundfile fastavro google-cloud-bigquery -google-cloud-core==2.4.1 -google-cloud-bigquery-storage==2.24.0 -google-api-core==1.34.0 +google-cloud-core +google-cloud-bigquery-storage +google-api-core webdataset raydp==1.7.0b20250423.dev0 pylance==0.22 diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 0c7f319ad5fb..e3c8984d1eef 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -130,3 +130,9 @@ pyopenssl>=25.0.0 starlette>=0.40.0 requests>=2.32.3 docker>=7.1.0 +protobuf>=4,<5 + +# TODO(aslonnie): remove this +# this is required as some packages depends on ray and will pick up older version of +# ray, which has overly strict version requirements. +ray>=2.47.1 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 1ce4f5606ef2..691bc8b6d2e1 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -585,7 +585,7 @@ glfw==2.6.3 # mujoco glom==22.1.0 # via semgrep -google-api-core==1.34.0 +google-api-core==2.24.2 # via # -r python/requirements/ml/data-test-requirements.txt # google-api-python-client @@ -679,9 +679,9 @@ grpcio==1.66.2 ; sys_platform != "darwin" # mlagents-envs # tensorboard # tensorflow -grpcio-status==1.48.2 +grpcio-status==1.62.3 # via google-api-core -grpcio-tools==1.48.2 +grpcio-tools==1.62.3 # via -r python/requirements/cloud-requirements.txt gsutil==5.27 # via -r python/requirements/docker/ray-docker-requirements.txt @@ -1290,7 +1290,7 @@ openapi-schema-validator==0.6.3 # openapi-spec-validator openapi-spec-validator==0.7.1 # via moto -opencensus==0.11.3 +opencensus==0.11.4 # via -r python/requirements.txt opencensus-context==0.1.3 # via opencensus @@ -1485,11 +1485,13 @@ prophet==1.1.5 # via -r python/requirements/ml/tune-test-requirements.txt proto-plus==1.22.3 # via + # google-api-core # google-cloud-bigquery # google-cloud-bigquery-storage -protobuf==3.20.3 +protobuf==4.25.8 # via # -r python/requirements.txt + # -r python/requirements/test-requirements.txt # dm-control # google-api-core # google-cloud-bigquery @@ -2024,6 +2026,7 @@ six==1.16.0 # ml-collections # msrestazure # oauth2client + # opencensus # paramiko # paramz # patsy @@ -2164,7 +2167,7 @@ tensorflow-io-gcs-filesystem==0.31.0 ; python_version < "3.12" # via # -r python/requirements/ml/dl-cpu-requirements.txt # tensorflow -tensorflow-metadata==1.14.0 +tensorflow-metadata==1.13.1 # via tensorflow-datasets tensorflow-probability==0.23.0 ; python_version < "3.12" # via -r python/requirements/ml/dl-cpu-requirements.txt diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 3813bdb67738..803a1af0e06a 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -615,9 +615,9 @@ fsspec==2023.5.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opencensus @@ -1113,9 +1113,9 @@ numpy==1.26.4 \ # scipy # tensorboardx # tifffile -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt @@ -1389,35 +1389,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # tensorboardx py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -1882,6 +1878,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index a17b9ef83fee..691cd71c57a8 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -615,9 +615,9 @@ fsspec==2023.5.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opencensus @@ -1113,9 +1113,9 @@ numpy==1.26.4 \ # scipy # tensorboardx # tifffile -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt @@ -1389,35 +1389,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # tensorboardx py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -1882,6 +1878,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index c6249b80e4c3..6b2d877623ff 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -615,9 +615,9 @@ fsspec==2023.5.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opencensus @@ -1077,9 +1077,9 @@ numpy==1.26.4 \ # scipy # tensorboardx # tifffile -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt @@ -1353,35 +1353,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # tensorboardx py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -1846,6 +1842,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index ee62684c1b4e..2678022dfa07 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -801,9 +801,9 @@ gitpython==3.1.40 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c /tmp/ray-deps/requirements_compiled.txt # google-cloud-core @@ -1720,9 +1720,9 @@ oauth2client==4.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2049,29 +2049,24 @@ propcache==0.3.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2079,6 +2074,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # tensorboardx psutil==5.9.6 \ --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ @@ -2794,6 +2790,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 51f6f29d2fce..636699ca5f73 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -801,9 +801,9 @@ gitpython==3.1.40 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c /tmp/ray-deps/requirements_compiled.txt # google-cloud-core @@ -1720,9 +1720,9 @@ oauth2client==4.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2049,29 +2049,24 @@ propcache==0.3.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2079,6 +2074,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # tensorboardx psutil==5.9.6 \ --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ @@ -2794,6 +2790,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index bc978cab4d66..7d73958faef5 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -801,9 +801,9 @@ gitpython==3.1.40 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c /tmp/ray-deps/requirements_compiled.txt # google-cloud-core @@ -1720,9 +1720,9 @@ oauth2client==4.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2049,29 +2049,24 @@ propcache==0.3.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2079,6 +2074,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # tensorboardx psutil==5.9.6 \ --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ @@ -2794,6 +2790,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 0827fe2f0e00..42fd7524ee6c 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -794,9 +794,9 @@ gguf==0.16.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # opencensus @@ -1656,9 +1656,9 @@ openai==1.63.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt @@ -2000,35 +2000,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -2992,6 +2988,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 9fbe97fa9660..47b6599da143 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -794,9 +794,9 @@ gguf==0.16.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # opencensus @@ -1772,9 +1772,9 @@ openai==1.63.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt @@ -2116,35 +2116,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -3108,6 +3104,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 2e5d0115173a..ea508c0155a3 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -794,9 +794,9 @@ gguf==0.17.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # opencensus @@ -1696,9 +1696,9 @@ openai==1.86.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt @@ -2040,35 +2040,31 @@ propcache==0.3.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt # google-api-core # googleapis-common-protos # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -3032,6 +3028,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index e5068995c733..326f0b650060 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -969,9 +969,9 @@ gitpython==3.1.40 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-cloud-core @@ -2271,9 +2271,9 @@ openai==1.63.2 \ --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 # via vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt @@ -2662,29 +2662,24 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt @@ -2692,6 +2687,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -3783,6 +3779,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index 3b62093c86b0..b522d0fb51bb 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -969,9 +969,9 @@ gitpython==3.1.40 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-cloud-core @@ -2362,9 +2362,9 @@ openai==1.63.2 \ --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 # via vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt @@ -2753,29 +2753,24 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt @@ -2783,6 +2778,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -3874,6 +3870,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 319389772813..124036bd3557 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -968,9 +968,9 @@ gitpython==3.1.40 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-cloud-core @@ -2285,9 +2285,9 @@ openai==1.86.0 \ --hash=sha256:c64d5b788359a8fdf69bd605ae804ce41c1ce2e78b8dd93e2542e0ee267f1e4b \ --hash=sha256:c8889c39410621fe955c230cc4c21bfe36ec887f4e60a957de05f507d7e1f349 # via vllm -opencensus==0.11.3 \ - --hash=sha256:9c33d572059f0f0e874fc34c697a39a4193aa9cf3203f7e777df42e9edeea56a \ - --hash=sha256:af7a98bd51e63968144d772f346d696ed498a32dbdc4be267cd6011c4ce05da8 +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt @@ -2676,29 +2676,24 @@ propcache==0.3.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt @@ -2706,6 +2701,7 @@ protobuf==3.20.3 \ # googleapis-common-protos # grpcio-tools # opentelemetry-proto + # proto-plus # ray # tensorboardx # vllm @@ -3797,6 +3793,7 @@ six==1.16.0 \ # bleach # halo # oauth2client + # opencensus # python-dateutil # rfc3339-validator smart-open==6.2.0 \ diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 20b30abe24c7..7c55c311d529 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -995,9 +995,9 @@ geventhttpclient==2.0.12 \ --hash=sha256:fd9baf30e2bdd3110394365998037a45b43f86804b8f3c77f194f64eddc7dc54 \ --hash=sha256:fddf2b3c4d5d99b826561173be04adbc92cab52081ba142c2158e0ba3b08b762 # via locust -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c release/ray_release/byod/requirements_compiled.txt # google-cloud-core @@ -1971,34 +1971,30 @@ propcache==0.3.0 \ # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in # google-api-core # googleapis-common-protos + # proto-plus # tensorboard # tensorboardx # tensorflow diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index be6abcee47e7..705e940bdc18 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -1131,9 +1131,9 @@ gitpython==3.1.40 \ # via # -c release/ray_release/byod/requirements_compiled.txt # wandb -google-api-core==1.34.0 \ - --hash=sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71 \ - --hash=sha256:7421474c39d396a74dfa317dddbc69188f2336835f526087c7648f91105e32ff +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c release/ray_release/byod/requirements_compiled.txt # google-cloud-core @@ -2613,34 +2613,30 @@ propcache==0.3.0 \ # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # yarl -protobuf==3.20.3 \ - --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \ - --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \ - --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \ - --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \ - --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \ - --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \ - --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \ - --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \ - --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \ - --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \ - --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \ - --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \ - --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \ - --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \ - --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \ - --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \ - --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \ - --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \ - --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \ - --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \ - --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \ - --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in # google-api-core # googleapis-common-protos + # proto-plus # tensorboardx # wandb psutil==5.9.6 \ From f74447e1d9b9ae60043b2ae3047cc614681c7a38 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Sat, 12 Jul 2025 09:02:22 -0700 Subject: [PATCH 0177/1566] [serve] reorganize how we handle the http receive task (#54543) Pass in the receive task to `call_http_entrypoint` instead of instantiating and managing it inside `_call_http_entrypoint` --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 24 ++-- python/ray/serve/_private/replica.py | 112 ++++++++++-------- python/ray/serve/tests/unit/test_http_util.py | 15 ++- .../tests/unit/test_user_callable_wrapper.py | 9 +- 4 files changed, 93 insertions(+), 67 deletions(-) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index e34544df9674..34ec6326bfd7 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -1,4 +1,5 @@ import asyncio +import concurrent.futures import inspect import json import logging @@ -331,6 +332,7 @@ def __init__( scope: Scope, request_metadata: RequestMetadata, receive_asgi_messages: Callable[[RequestMetadata], Awaitable[bytes]], + fetch_loop: asyncio.AbstractEventLoop, ): self._type = scope["type"] # Either 'http' or 'websocket'. # Lazy init the queue to ensure it is created in the user code event loop. @@ -338,6 +340,7 @@ def __init__( self._request_metadata = request_metadata self._receive_asgi_messages = receive_asgi_messages self._disconnect_message = None + self._fetch_loop = fetch_loop def _get_default_disconnect_message(self) -> Message: """Return the appropriate disconnect message based on the connection type. @@ -364,6 +367,16 @@ def queue(self) -> asyncio.Queue: return self._queue + def fetch_until_disconnect_task( + self, + ) -> Union[asyncio.Task, concurrent.futures.Future]: + if asyncio.get_running_loop() == self._fetch_loop: + return asyncio.create_task(self.fetch_until_disconnect()) + else: + return asyncio.run_coroutine_threadsafe( + self.fetch_until_disconnect(), self._fetch_loop + ) + async def fetch_until_disconnect(self): """Fetch messages repeatedly until a disconnect message is received. @@ -377,16 +390,7 @@ async def fetch_until_disconnect(self): pickled_messages = await self._receive_asgi_messages( self._request_metadata ) - if isinstance(pickled_messages, bytes): - messages = pickle.loads(pickled_messages) - else: - messages = ( - pickled_messages - if isinstance(pickled_messages, list) - else [pickled_messages] - ) - - for message in messages: + for message in pickle.loads(pickled_messages): self.queue.put_nowait(message) if message["type"] in {"http.disconnect", "websocket.disconnect"}: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 4c47af5efb15..5eb598acd7b5 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -573,7 +573,10 @@ def _unpack_proxy_args( request: StreamingHTTPRequest = request_args[0] scope = request.asgi_scope receive = ASGIReceiveProxy( - scope, request_metadata, request.receive_asgi_messages + scope, + request_metadata, + request.receive_asgi_messages, + self._user_callable_wrapper.event_loop, ) request_metadata._http_method = scope.get("method", "WS") @@ -621,11 +624,13 @@ async def handle_request_streaming( async with self._start_request(request_metadata): if request_metadata.is_http_request: scope, receive = request_args + receive_task = receive.fetch_until_disconnect_task() async for msgs in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, + receive_task, ): yield pickle.dumps(msgs) else: @@ -664,11 +669,13 @@ async def handle_request_with_rejection( if request_metadata.is_http_request: scope, receive = request_args + receive_task = receive.fetch_until_disconnect_task() async for msgs in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, + receive_task, ): yield pickle.dumps(msgs) elif request_metadata.is_streaming: @@ -1590,46 +1597,68 @@ async def call_http_entrypoint( status_code_callback: StatusCodeCallback, scope: Scope, receive: Receive, + receive_task: Union[asyncio.Task, concurrent.futures.Future], ) -> Any: result_queue = MessageQueue() user_method_info = self.get_user_method_info(request_metadata.call_method) - if self._run_user_code_in_separate_thread: - # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be - # used to interact with the result queue from the user callable thread. - system_event_loop = asyncio.get_running_loop() + try: + if self._run_user_code_in_separate_thread: + # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be + # used to interact with the result queue from the user callable thread. + system_event_loop = asyncio.get_running_loop() - async def enqueue(item: Any): - system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) + async def enqueue(item: Any): + system_event_loop.call_soon_threadsafe( + result_queue.put_nowait, item + ) - call_future = self._call_http_entrypoint( - user_method_info, scope, receive, enqueue - ) - else: + call_future = self._call_http_entrypoint( + user_method_info, scope, receive, enqueue + ) + else: - async def enqueue(item: Any): - result_queue.put_nowait(item) + async def enqueue(item: Any): + result_queue.put_nowait(item) - call_future = asyncio.create_task( - self._call_http_entrypoint(user_method_info, scope, receive, enqueue) - ) + call_future = asyncio.create_task( + self._call_http_entrypoint( + user_method_info, scope, receive, enqueue + ) + ) - first_message_peeked = False - async for messages in result_queue.fetch_messages_from_queue(call_future): - # HTTP (ASGI) messages are only consumed by the proxy so batch them - # and use vanilla pickle (we know it's safe because these messages - # only contain primitive Python types). - # Peek the first ASGI message to determine the status code. - if not first_message_peeked: - msg = messages[0] - first_message_peeked = True - if msg["type"] == "http.response.start": - # HTTP responses begin with exactly one - # "http.response.start" message containing the "status" - # field. Other response types like WebSockets may not. - status_code_callback(str(msg["status"])) - - yield messages + first_message_peeked = False + async for messages in result_queue.fetch_messages_from_queue(call_future): + # HTTP (ASGI) messages are only consumed by the proxy so batch them + # and use vanilla pickle (we know it's safe because these messages + # only contain primitive Python types). + # Peek the first ASGI message to determine the status code. + if not first_message_peeked: + msg = messages[0] + first_message_peeked = True + if msg["type"] == "http.response.start": + # HTTP responses begin with exactly one + # "http.response.start" message containing the "status" + # field. Other response types like WebSockets may not. + status_code_callback(str(msg["status"])) + + yield messages + except Exception: + if not receive_task.done(): + receive_task.cancel() + + raise + except asyncio.CancelledError: + if not receive_task.done(): + # Do NOT cancel the receive task if the request has been + # cancelled, but the call is a batched call. This is + # because we cannot guarantee cancelling the batched + # call, so in the case that the call continues executing + # we should continue fetching data from the client. + if not hasattr(user_method_info.callable, "set_max_batch_size"): + receive_task.cancel() + + raise @_run_user_code async def _call_http_entrypoint( @@ -1663,9 +1692,7 @@ async def _call_http_entrypoint( # Non-FastAPI HTTP handlers take only the starlette `Request`. request_args = (starlette.requests.Request(scope, receive, send),) - receive_task = None try: - receive_task = asyncio.create_task(receive.fetch_until_disconnect()) result, sync_gen_consumed = await self._call_func_or_gen( user_method_info.callable, args=request_args, @@ -1683,9 +1710,6 @@ async def _call_http_entrypoint( asgi_args=ASGIArgs(scope, receive, send), ) - if receive_task is not None and not receive_task.done(): - receive_task.cancel() - return final_result except Exception as e: if not user_method_info.is_asgi_app: @@ -1694,20 +1718,6 @@ async def _call_http_entrypoint( response, ASGIArgs(scope, receive, send) ) - if receive_task is not None and not receive_task.done(): - receive_task.cancel() - - raise - except asyncio.CancelledError: - if receive_task is not None and not receive_task.done(): - # Do NOT cancel the receive task if the request has been - # cancelled, but the call is a batched call. This is - # because we cannot guarantee cancelling the batched - # call, so in the case that the call continues executing - # we should continue fetching data from the client. - if not hasattr(user_method_info.callable, "set_max_batch_size"): - receive_task.cancel() - raise async def call_user_generator( diff --git a/python/ray/serve/tests/unit/test_http_util.py b/python/ray/serve/tests/unit/test_http_util.py index 8d9330e7cd38..43bee1a3c813 100644 --- a/python/ray/serve/tests/unit/test_http_util.py +++ b/python/ray/serve/tests/unit/test_http_util.py @@ -5,6 +5,7 @@ from unittest.mock import MagicMock, patch import pytest +import pytest_asyncio from starlette.middleware import Middleware from starlette.middleware.base import BaseHTTPMiddleware @@ -145,9 +146,8 @@ async def test_message_queue_wait_error(): await queue.get_one_message() -@pytest.fixture -@pytest.mark.asyncio -def setup_receive_proxy( +@pytest_asyncio.fixture +async def setup_receive_proxy( request, ) -> Generator[Tuple[ASGIReceiveProxy, MessageQueue], None, None]: # Param can be 'http' (default) or 'websocket' (ASGI scope type). @@ -165,7 +165,12 @@ async def receive_asgi_messages(request_id: str) -> bytes: return pickle.dumps(messages) loop = get_or_create_event_loop() - asgi_receive_proxy = ASGIReceiveProxy({"type": type}, "", receive_asgi_messages) + asgi_receive_proxy = ASGIReceiveProxy( + {"type": type}, + "", + receive_asgi_messages, + asyncio.get_running_loop(), + ) receiver_task = loop.create_task(asgi_receive_proxy.fetch_until_disconnect()) try: yield asgi_receive_proxy, queue @@ -247,7 +252,7 @@ async def receive_asgi_messages(request_id: str) -> bytes: loop = get_or_create_event_loop() asgi_receive_proxy = ASGIReceiveProxy( - {"type": "http"}, "", receive_asgi_messages + {"type": "http"}, "", receive_asgi_messages, asyncio.get_running_loop() ) receiver_task = loop.create_task(asgi_receive_proxy.fetch_until_disconnect()) diff --git a/python/ray/serve/tests/unit/test_user_callable_wrapper.py b/python/ray/serve/tests/unit/test_user_callable_wrapper.py index e2b455710574..67987aa5af0e 100644 --- a/python/ray/serve/tests/unit/test_user_callable_wrapper.py +++ b/python/ray/serve/tests/unit/test_user_callable_wrapper.py @@ -604,11 +604,18 @@ async def receive_asgi_messages(_: str): result_list = [] request_metadata = _make_request_metadata(is_http_request=True, is_streaming=True) + receive_proxy = ASGIReceiveProxy( + asgi_scope, + request_metadata, + receive_asgi_messages, + user_callable_wrapper.event_loop, + ) async for result in user_callable_wrapper.call_http_entrypoint( request_metadata, lambda *args: None, asgi_scope, - ASGIReceiveProxy(asgi_scope, request_metadata, receive_asgi_messages), + receive_proxy, + receive_proxy.fetch_until_disconnect_task(), ): result_list.extend(result) From 1c70a23edf0bb16ecd3872308957d2fd036da13a Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Sat, 12 Jul 2025 21:52:07 +0530 Subject: [PATCH 0178/1566] use wait_condition for verifying http response (#54522) - instead of returning function as soon as it get any new line, using wait_condition now to check the condition of verify_http_response with timeout. Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_logging.py | 59 ++++++++++++-------------- 1 file changed, 27 insertions(+), 32 deletions(-) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 76240fb97636..e9c07268efee 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -307,25 +307,6 @@ def get_file_end_position(file_path): except FileNotFoundError: return 0 - def create_line_checker(file_path, start_pos): - """Create a function that checks for new lines and captures them""" - captured_lines = {"lines": []} - - def check_for_new_lines(): - """Get new lines added to the file since start_position and return if any exist""" - try: - with open(file_path, "r") as f: - f.seek(start_pos) - new_content = f.read() - lines = new_content.splitlines() if new_content else [] - captured_lines["lines"] = lines - except FileNotFoundError: - captured_lines["lines"] = [] - - return len(captured_lines["lines"]) > 0 - - return check_for_new_lines, captured_lines - def verify_http_response_in_logs( response, new_log_lines, call_info, log_format, context_info=None ): @@ -413,21 +394,35 @@ def verify_http_response_in_logs( f"Could not extract context info from response: {response.text}" ) - # Step 3: Wait a bit for logs to be written, then get new lines - line_checker, captured_lines = create_line_checker( - log_file_path, start_position - ) - wait_for_condition(line_checker, retry_interval_ms=1000, timeout=25) - new_log_lines = captured_lines["lines"] + # Step 3: Verify HTTP response matches new log lines + def verify_log_lines( + file_path, start_pos, response, call_info, log_format, context_info + ): + new_log_lines = [] + try: + with open(file_path, "r") as f: + f.seek(start_pos) + new_content = f.read() + lines = new_content.splitlines() if new_content else [] + new_log_lines = lines + except FileNotFoundError: + new_log_lines = [] - # Step 4: Verify HTTP response matches new log lines - match_found = verify_http_response_in_logs( - response, new_log_lines, call_info, log_format, context_info - ) + return verify_http_response_in_logs( + response, new_log_lines, call_info, log_format, context_info + ) - assert ( - match_found - ), f"No matching log entry found for {call_info['method']} {call_info['expected_route']}" + wait_for_condition( + verify_log_lines, + timeout=20, + retry_interval_ms=100, + file_path=log_file_path, + start_pos=start_position, + response=response, + call_info=call_info, + log_format=log_format, + context_info=context_info, + ) def test_handle_access_log(serve_instance): From 601bae6e9d42d45b2f88bb9cf7512743e276705d Mon Sep 17 00:00:00 2001 From: yi wang <48236141+my-vegetable-has-exploded@users.noreply.github.com> Date: Sun, 13 Jul 2025 03:25:46 +0800 Subject: [PATCH 0179/1566] [DOC][Core] fix typo in Anti-pattern. (#54547) ## Why are these changes needed? image ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: my-vegetable-has-exploded Signed-off-by: Douglas Strodtman --- .../ray-core/patterns/out-of-band-object-ref-serialization.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst b/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst index 1c1c85241fe7..4b87f16d68fb 100644 --- a/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst +++ b/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst @@ -10,7 +10,7 @@ When all references are the pinned object gone, Ray garbage collects the pinned However, if user code serializes ``ray.objectRef``, Ray can't keep track of the reference. To avoid incorrect behavior, if ``ray.cloudpickle`` serializes``ray.ObjectRef``, Ray pins the object for the lifetime of a worker. "Pin" means that object can't be evicted from the object store -until the corresponding owner worker dies. It's prone to Ray object leaks, which can lead disk spilling. See :ref:`thjs page ` for more details. +until the corresponding owner worker dies. It's prone to Ray object leaks, which can lead disk spilling. See :ref:`this page ` for more details. To detect if this pattern exists in your code, you can set an environment variable ``RAY_allow_out_of_band_object_ref_serialization=0``. If Ray detects that ``ray.cloudpickle`` serialized``ray.ObjectRef``, it raises an exception with helpful messages. From 5ac3bdbcccac3578075b54818326d046f9adbbf5 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Sun, 13 Jul 2025 17:20:44 -0700 Subject: [PATCH 0180/1566] Revert "[serve] reorganize how we handle the http receive task" (#54565) Reverts ray-project/ray#54543 Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 24 ++-- python/ray/serve/_private/replica.py | 112 ++++++++---------- python/ray/serve/tests/unit/test_http_util.py | 15 +-- .../tests/unit/test_user_callable_wrapper.py | 9 +- 4 files changed, 67 insertions(+), 93 deletions(-) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index 34ec6326bfd7..e34544df9674 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -1,5 +1,4 @@ import asyncio -import concurrent.futures import inspect import json import logging @@ -332,7 +331,6 @@ def __init__( scope: Scope, request_metadata: RequestMetadata, receive_asgi_messages: Callable[[RequestMetadata], Awaitable[bytes]], - fetch_loop: asyncio.AbstractEventLoop, ): self._type = scope["type"] # Either 'http' or 'websocket'. # Lazy init the queue to ensure it is created in the user code event loop. @@ -340,7 +338,6 @@ def __init__( self._request_metadata = request_metadata self._receive_asgi_messages = receive_asgi_messages self._disconnect_message = None - self._fetch_loop = fetch_loop def _get_default_disconnect_message(self) -> Message: """Return the appropriate disconnect message based on the connection type. @@ -367,16 +364,6 @@ def queue(self) -> asyncio.Queue: return self._queue - def fetch_until_disconnect_task( - self, - ) -> Union[asyncio.Task, concurrent.futures.Future]: - if asyncio.get_running_loop() == self._fetch_loop: - return asyncio.create_task(self.fetch_until_disconnect()) - else: - return asyncio.run_coroutine_threadsafe( - self.fetch_until_disconnect(), self._fetch_loop - ) - async def fetch_until_disconnect(self): """Fetch messages repeatedly until a disconnect message is received. @@ -390,7 +377,16 @@ async def fetch_until_disconnect(self): pickled_messages = await self._receive_asgi_messages( self._request_metadata ) - for message in pickle.loads(pickled_messages): + if isinstance(pickled_messages, bytes): + messages = pickle.loads(pickled_messages) + else: + messages = ( + pickled_messages + if isinstance(pickled_messages, list) + else [pickled_messages] + ) + + for message in messages: self.queue.put_nowait(message) if message["type"] in {"http.disconnect", "websocket.disconnect"}: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 5eb598acd7b5..4c47af5efb15 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -573,10 +573,7 @@ def _unpack_proxy_args( request: StreamingHTTPRequest = request_args[0] scope = request.asgi_scope receive = ASGIReceiveProxy( - scope, - request_metadata, - request.receive_asgi_messages, - self._user_callable_wrapper.event_loop, + scope, request_metadata, request.receive_asgi_messages ) request_metadata._http_method = scope.get("method", "WS") @@ -624,13 +621,11 @@ async def handle_request_streaming( async with self._start_request(request_metadata): if request_metadata.is_http_request: scope, receive = request_args - receive_task = receive.fetch_until_disconnect_task() async for msgs in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, - receive_task, ): yield pickle.dumps(msgs) else: @@ -669,13 +664,11 @@ async def handle_request_with_rejection( if request_metadata.is_http_request: scope, receive = request_args - receive_task = receive.fetch_until_disconnect_task() async for msgs in self._user_callable_wrapper.call_http_entrypoint( request_metadata, status_code_callback, scope, receive, - receive_task, ): yield pickle.dumps(msgs) elif request_metadata.is_streaming: @@ -1597,68 +1590,46 @@ async def call_http_entrypoint( status_code_callback: StatusCodeCallback, scope: Scope, receive: Receive, - receive_task: Union[asyncio.Task, concurrent.futures.Future], ) -> Any: result_queue = MessageQueue() user_method_info = self.get_user_method_info(request_metadata.call_method) - try: - if self._run_user_code_in_separate_thread: - # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be - # used to interact with the result queue from the user callable thread. - system_event_loop = asyncio.get_running_loop() - - async def enqueue(item: Any): - system_event_loop.call_soon_threadsafe( - result_queue.put_nowait, item - ) - - call_future = self._call_http_entrypoint( - user_method_info, scope, receive, enqueue - ) - else: + if self._run_user_code_in_separate_thread: + # `asyncio.Event`s are not thread safe, so `call_soon_threadsafe` must be + # used to interact with the result queue from the user callable thread. + system_event_loop = asyncio.get_running_loop() - async def enqueue(item: Any): - result_queue.put_nowait(item) + async def enqueue(item: Any): + system_event_loop.call_soon_threadsafe(result_queue.put_nowait, item) - call_future = asyncio.create_task( - self._call_http_entrypoint( - user_method_info, scope, receive, enqueue - ) - ) + call_future = self._call_http_entrypoint( + user_method_info, scope, receive, enqueue + ) + else: - first_message_peeked = False - async for messages in result_queue.fetch_messages_from_queue(call_future): - # HTTP (ASGI) messages are only consumed by the proxy so batch them - # and use vanilla pickle (we know it's safe because these messages - # only contain primitive Python types). - # Peek the first ASGI message to determine the status code. - if not first_message_peeked: - msg = messages[0] - first_message_peeked = True - if msg["type"] == "http.response.start": - # HTTP responses begin with exactly one - # "http.response.start" message containing the "status" - # field. Other response types like WebSockets may not. - status_code_callback(str(msg["status"])) - - yield messages - except Exception: - if not receive_task.done(): - receive_task.cancel() + async def enqueue(item: Any): + result_queue.put_nowait(item) - raise - except asyncio.CancelledError: - if not receive_task.done(): - # Do NOT cancel the receive task if the request has been - # cancelled, but the call is a batched call. This is - # because we cannot guarantee cancelling the batched - # call, so in the case that the call continues executing - # we should continue fetching data from the client. - if not hasattr(user_method_info.callable, "set_max_batch_size"): - receive_task.cancel() + call_future = asyncio.create_task( + self._call_http_entrypoint(user_method_info, scope, receive, enqueue) + ) - raise + first_message_peeked = False + async for messages in result_queue.fetch_messages_from_queue(call_future): + # HTTP (ASGI) messages are only consumed by the proxy so batch them + # and use vanilla pickle (we know it's safe because these messages + # only contain primitive Python types). + # Peek the first ASGI message to determine the status code. + if not first_message_peeked: + msg = messages[0] + first_message_peeked = True + if msg["type"] == "http.response.start": + # HTTP responses begin with exactly one + # "http.response.start" message containing the "status" + # field. Other response types like WebSockets may not. + status_code_callback(str(msg["status"])) + + yield messages @_run_user_code async def _call_http_entrypoint( @@ -1692,7 +1663,9 @@ async def _call_http_entrypoint( # Non-FastAPI HTTP handlers take only the starlette `Request`. request_args = (starlette.requests.Request(scope, receive, send),) + receive_task = None try: + receive_task = asyncio.create_task(receive.fetch_until_disconnect()) result, sync_gen_consumed = await self._call_func_or_gen( user_method_info.callable, args=request_args, @@ -1710,6 +1683,9 @@ async def _call_http_entrypoint( asgi_args=ASGIArgs(scope, receive, send), ) + if receive_task is not None and not receive_task.done(): + receive_task.cancel() + return final_result except Exception as e: if not user_method_info.is_asgi_app: @@ -1718,6 +1694,20 @@ async def _call_http_entrypoint( response, ASGIArgs(scope, receive, send) ) + if receive_task is not None and not receive_task.done(): + receive_task.cancel() + + raise + except asyncio.CancelledError: + if receive_task is not None and not receive_task.done(): + # Do NOT cancel the receive task if the request has been + # cancelled, but the call is a batched call. This is + # because we cannot guarantee cancelling the batched + # call, so in the case that the call continues executing + # we should continue fetching data from the client. + if not hasattr(user_method_info.callable, "set_max_batch_size"): + receive_task.cancel() + raise async def call_user_generator( diff --git a/python/ray/serve/tests/unit/test_http_util.py b/python/ray/serve/tests/unit/test_http_util.py index 43bee1a3c813..8d9330e7cd38 100644 --- a/python/ray/serve/tests/unit/test_http_util.py +++ b/python/ray/serve/tests/unit/test_http_util.py @@ -5,7 +5,6 @@ from unittest.mock import MagicMock, patch import pytest -import pytest_asyncio from starlette.middleware import Middleware from starlette.middleware.base import BaseHTTPMiddleware @@ -146,8 +145,9 @@ async def test_message_queue_wait_error(): await queue.get_one_message() -@pytest_asyncio.fixture -async def setup_receive_proxy( +@pytest.fixture +@pytest.mark.asyncio +def setup_receive_proxy( request, ) -> Generator[Tuple[ASGIReceiveProxy, MessageQueue], None, None]: # Param can be 'http' (default) or 'websocket' (ASGI scope type). @@ -165,12 +165,7 @@ async def receive_asgi_messages(request_id: str) -> bytes: return pickle.dumps(messages) loop = get_or_create_event_loop() - asgi_receive_proxy = ASGIReceiveProxy( - {"type": type}, - "", - receive_asgi_messages, - asyncio.get_running_loop(), - ) + asgi_receive_proxy = ASGIReceiveProxy({"type": type}, "", receive_asgi_messages) receiver_task = loop.create_task(asgi_receive_proxy.fetch_until_disconnect()) try: yield asgi_receive_proxy, queue @@ -252,7 +247,7 @@ async def receive_asgi_messages(request_id: str) -> bytes: loop = get_or_create_event_loop() asgi_receive_proxy = ASGIReceiveProxy( - {"type": "http"}, "", receive_asgi_messages, asyncio.get_running_loop() + {"type": "http"}, "", receive_asgi_messages ) receiver_task = loop.create_task(asgi_receive_proxy.fetch_until_disconnect()) diff --git a/python/ray/serve/tests/unit/test_user_callable_wrapper.py b/python/ray/serve/tests/unit/test_user_callable_wrapper.py index 67987aa5af0e..e2b455710574 100644 --- a/python/ray/serve/tests/unit/test_user_callable_wrapper.py +++ b/python/ray/serve/tests/unit/test_user_callable_wrapper.py @@ -604,18 +604,11 @@ async def receive_asgi_messages(_: str): result_list = [] request_metadata = _make_request_metadata(is_http_request=True, is_streaming=True) - receive_proxy = ASGIReceiveProxy( - asgi_scope, - request_metadata, - receive_asgi_messages, - user_callable_wrapper.event_loop, - ) async for result in user_callable_wrapper.call_http_entrypoint( request_metadata, lambda *args: None, asgi_scope, - receive_proxy, - receive_proxy.fetch_until_disconnect_task(), + ASGIReceiveProxy(asgi_scope, request_metadata, receive_asgi_messages), ): result_list.extend(result) From 80df019385a99b6cbf4cce7ac3863035f1ee3504 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Mon, 14 Jul 2025 12:43:16 +0800 Subject: [PATCH 0181/1566] [Core] Minor fixes in gcs job manager (#54562) Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_job_manager.cc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index bb336d9fed51..547f695a6db5 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -365,8 +365,6 @@ void GcsJobManager::HandleGetAllJobInfo(rpc::GetAllJobInfoRequest request, } else { for (int jj = 0; jj < reply->job_info_list_size(); jj++) { const auto &data = reply->job_info_list(jj); - auto job_id = JobID::FromBinary(data.job_id()); - WorkerID worker_id = WorkerID::FromBinary(data.driver_address().worker_id()); // If job is dead, no need to get. if (data.is_dead()) { @@ -375,6 +373,8 @@ void GcsJobManager::HandleGetAllJobInfo(rpc::GetAllJobInfoRequest request, try_send_reply(updated_finished_tasks); } else { // Get is_running_tasks from the core worker for the driver. + auto job_id = JobID::FromBinary(data.job_id()); + WorkerID worker_id = WorkerID::FromBinary(data.driver_address().worker_id()); auto client = worker_client_pool_.GetOrConnect(data.driver_address()); auto pending_task_req = std::make_unique(); constexpr int64_t kNumPendingTasksRequestTimeoutMs = 1000; From ece73e6044f42d05293feaea2dc91e9d68b9a41b Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Sun, 13 Jul 2025 21:48:12 -0700 Subject: [PATCH 0182/1566] [Doc] Make the wording more accurate since we not only have Python workers but also C++, Java workers (#54546) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- doc/source/ray-core/key-concepts.rst | 2 +- doc/source/ray-core/tasks.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/ray-core/key-concepts.rst b/doc/source/ray-core/key-concepts.rst index df9cfa73ba62..e058929e642d 100644 --- a/doc/source/ray-core/key-concepts.rst +++ b/doc/source/ray-core/key-concepts.rst @@ -10,7 +10,7 @@ This section overviews Ray's key concepts. These primitives work together to ena Tasks ----- -Ray enables arbitrary functions to execute asynchronously on separate Python workers. These asynchronous Ray functions are called tasks. Ray enables tasks to specify their resource requirements in terms of CPUs, GPUs, and custom resources. The cluster scheduler uses these resource requests to distribute tasks across the cluster for parallelized execution. +Ray enables arbitrary functions to execute asynchronously on separate worker processes. These asynchronous Ray functions are called tasks. Ray enables tasks to specify their resource requirements in terms of CPUs, GPUs, and custom resources. The cluster scheduler uses these resource requests to distribute tasks across the cluster for parallelized execution. See the :ref:`User Guide for Tasks `. diff --git a/doc/source/ray-core/tasks.rst b/doc/source/ray-core/tasks.rst index 50ff4443efb0..76a7173e2100 100644 --- a/doc/source/ray-core/tasks.rst +++ b/doc/source/ray-core/tasks.rst @@ -3,7 +3,7 @@ Tasks ===== -Ray enables arbitrary functions to be executed asynchronously on separate Python workers. Such functions are called **Ray remote functions** and their asynchronous invocations are called **Ray tasks**. Here is an example. +Ray enables arbitrary functions to be executed asynchronously on separate worker processes. Such functions are called **Ray remote functions** and their asynchronous invocations are called **Ray tasks**. Here is an example. .. tab-set:: From 86118660a6e7ac3f6414dbfd026befa92bfcc957 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 14 Jul 2025 01:09:32 -0700 Subject: [PATCH 0183/1566] [ci] disable test db on release auto nightly run (#54563) just let things fail loudly Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release-automation/pre_release.rayci.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.buildkite/release-automation/pre_release.rayci.yml b/.buildkite/release-automation/pre_release.rayci.yml index b4f2bc65b623..ed5de3c08245 100644 --- a/.buildkite/release-automation/pre_release.rayci.yml +++ b/.buildkite/release-automation/pre_release.rayci.yml @@ -47,8 +47,9 @@ steps: branch: "${BUILDKITE_BRANCH}" message: "Triggered by release-automation build #${BUILDKITE_BUILD_NUMBER}" env: - RAYCI_RELEASE: 1 + RAYCI_RELEASE: "1" RAYCI_SCHEDULE: "nightly" + RAYCI_DISABLE_TEST_DB: "1" - label: "Check Ray commit in {{matrix}} nightly images" key: check-ray-commit @@ -72,7 +73,7 @@ steps: env: # KubeRay CI will pull an image based on this commit and the current date RAY_NIGHTLY_COMMIT: "${BUILDKITE_COMMIT}" - IS_FROM_RAY_RELEASE_AUTOMATION: 1 + IS_FROM_RAY_RELEASE_AUTOMATION: "1" - label: "Trigger Postmerge MacOS test" key: trigger-postmerge-macos From ec098816ae81613d38e053c3c474ecb7c8e6e31b Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 14 Jul 2025 12:59:15 +0200 Subject: [PATCH 0184/1566] [RLlib] Switch Offline Data iteration to `iter_torch_batches`. (#54277) Signed-off-by: Douglas Strodtman --- rllib/algorithms/bc/bc.py | 8 ------ rllib/algorithms/cql/cql.py | 8 ------ rllib/algorithms/marwil/marwil.py | 11 -------- rllib/core/learner/learner.py | 22 +-------------- rllib/offline/offline_evaluation_runner.py | 28 ++----------------- .../bc/benchmark_rlunplugged_atari_pong_bc.py | 2 +- rllib/utils/minibatch_utils.py | 27 ++++++++++++------ 7 files changed, 22 insertions(+), 84 deletions(-) diff --git a/rllib/algorithms/bc/bc.py b/rllib/algorithms/bc/bc.py index a206fc6d7ab6..7cc2544078ac 100644 --- a/rllib/algorithms/bc/bc.py +++ b/rllib/algorithms/bc/bc.py @@ -97,14 +97,6 @@ def build_learner_connector( pipeline.remove("AddOneTsToEpisodesAndTruncate") pipeline.remove("GeneralAdvantageEstimation") - # In case we run multiple updates per RLlib training step in the `Learner` or - # when training on GPU conversion to tensors is managed in batch prefetching. - if self.num_gpus_per_learner > 0 or ( - self.dataset_num_iters_per_learner - and self.dataset_num_iters_per_learner > 1 - ): - pipeline.remove("NumpyToTensor") - return pipeline @override(MARWILConfig) diff --git a/rllib/algorithms/cql/cql.py b/rllib/algorithms/cql/cql.py index 521ecd993936..de972a119a90 100644 --- a/rllib/algorithms/cql/cql.py +++ b/rllib/algorithms/cql/cql.py @@ -212,14 +212,6 @@ def build_learner_connector( AddNextObservationsFromEpisodesToTrainBatch(), ) - # In case we run multiple updates per RLlib training step in the `Learner` or - # when training on GPU conversion to tensors is managed in batch prefetching. - if self.num_gpus_per_learner > 0 or ( - self.dataset_num_iters_per_learner - and self.dataset_num_iters_per_learner > 1 - ): - pipeline.remove("NumpyToTensor") - return pipeline @override(SACConfig) diff --git a/rllib/algorithms/marwil/marwil.py b/rllib/algorithms/marwil/marwil.py index b78e2483a8f0..b0a06ae6d2d8 100644 --- a/rllib/algorithms/marwil/marwil.py +++ b/rllib/algorithms/marwil/marwil.py @@ -2,7 +2,6 @@ from ray.rllib.algorithms.algorithm import Algorithm from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided -from ray.rllib.connectors.common import TensorToNumpy from ray.rllib.connectors.learner import ( AddObservationsFromEpisodesToBatch, AddOneTsToEpisodesAndTruncate, @@ -375,16 +374,6 @@ def build_learner_connector( GeneralAdvantageEstimation(gamma=self.gamma, lambda_=self.lambda_) ) - # If training on GPU, convert batches to `numpy` arrays to load them - # on GPU in the `Learner`. - # In case we run multiple updates per RLlib training step in the `Learner` or - # when training on GPU conversion to tensors is managed in batch prefetching. - if self.num_gpus_per_learner > 0 or ( - self.dataset_num_iters_per_learner - and self.dataset_num_iters_per_learner > 1 - ): - pipeline.insert_after(GeneralAdvantageEstimation, TensorToNumpy()) - return pipeline @override(AlgorithmConfig) diff --git a/rllib/core/learner/learner.py b/rllib/core/learner/learner.py index b7b838ae4470..c7c3f9b0c91f 100644 --- a/rllib/core/learner/learner.py +++ b/rllib/core/learner/learner.py @@ -38,7 +38,6 @@ MultiRLModuleSpec, ) from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleSpec -from ray.rllib.utils import unflatten_dict from ray.rllib.policy.policy import PolicySpec from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch from ray.rllib.utils.annotations import ( @@ -1136,30 +1135,11 @@ def _create_iterator_if_necessary( "Learner.update(data_iterators=..) requires `num_iters` kwarg!" ) - def _collate_fn(_batch: Dict[str, numpy.ndarray]) -> MultiAgentBatch: - _batch = unflatten_dict(_batch) - _batch = MultiAgentBatch( - { - module_id: SampleBatch(module_data) - for module_id, module_data in _batch.items() - }, - env_steps=sum( - len(next(iter(module_data.values()))) - for module_data in _batch.values() - ), - ) - _batch = self._convert_batch_type(_batch, to_device=False) - return self._set_slicing_by_batch_id(_batch, value=True) - - def _finalize_fn(batch: MultiAgentBatch) -> MultiAgentBatch: - return self._convert_batch_type(batch, to_device=True, use_stream=True) - if not self.iterator: # This iterator holds a `ray.data.DataIterator` and manages it state. self.iterator = MiniBatchRayDataIterator( iterator=training_data.data_iterators[0], - collate_fn=_collate_fn, - finalize_fn=_finalize_fn, + device=self.device, minibatch_size=minibatch_size, num_iters=num_iters, **kwargs, diff --git a/rllib/offline/offline_evaluation_runner.py b/rllib/offline/offline_evaluation_runner.py index a8dc374ab90f..8578256c560d 100644 --- a/rllib/offline/offline_evaluation_runner.py +++ b/rllib/offline/offline_evaluation_runner.py @@ -1,4 +1,3 @@ -import numpy import ray import types @@ -11,8 +10,7 @@ ) from ray.rllib.core.rl_module.apis import SelfSupervisedLossAPI from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec -from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch -from ray.rllib.utils import unflatten_dict +from ray.rllib.policy.sample_batch import MultiAgentBatch from ray.rllib.utils.annotations import override from ray.rllib.utils.checkpoints import Checkpointable from ray.rllib.utils.framework import get_device, try_import_torch @@ -100,32 +98,10 @@ def run( def _create_batch_iterator(self, **kwargs) -> Iterable: - # Define the collate function that converts the flattened dictionary - # to a `MultiAgentBatch` with Tensors. - def _collate_fn(_batch: Dict[str, numpy.ndarray]) -> MultiAgentBatch: - _batch = unflatten_dict(_batch) - _batch = MultiAgentBatch( - { - module_id: SampleBatch(module_data) - for module_id, module_data in _batch.items() - }, - env_steps=sum( - len(next(iter(module_data.values()))) - for module_data in _batch.values() - ), - ) - _batch = self._convert_batch_type(_batch, to_device=False) - return _batch - - # Define the finalize function that makes the host-to-device transfer. - def _finalize_fn(batch: MultiAgentBatch) -> MultiAgentBatch: - return self._convert_batch_type(batch, to_device=True, use_stream=True) - # Return a minibatch iterator. return MiniBatchRayDataIterator( iterator=self._dataset_iterator, - collate_fn=_collate_fn, - finalize_fn=_finalize_fn, + device=self._device, minibatch_size=self.config.offline_eval_batch_size_per_runner, num_iters=self.config.dataset_num_iters_per_eval_runner, **kwargs, diff --git a/rllib/tuned_examples/bc/benchmark_rlunplugged_atari_pong_bc.py b/rllib/tuned_examples/bc/benchmark_rlunplugged_atari_pong_bc.py index cac8fe4a1ec1..ab35c39b9e4d 100644 --- a/rllib/tuned_examples/bc/benchmark_rlunplugged_atari_pong_bc.py +++ b/rllib/tuned_examples/bc/benchmark_rlunplugged_atari_pong_bc.py @@ -338,7 +338,7 @@ def default_logger_creator(config): ) # Initialize wandb. - wandb.init(project="benchmark_atari_pong_bc") + wandb.init(project=args.wandb_project) # Clean results to log seemlessly to wandb. from ray.air.integrations.wandb import _clean_log diff --git a/rllib/utils/minibatch_utils.py b/rllib/utils/minibatch_utils.py index 8dadc175fd4c..1f2cf3d044ba 100644 --- a/rllib/utils/minibatch_utils.py +++ b/rllib/utils/minibatch_utils.py @@ -1,11 +1,12 @@ import math -from typing import Callable, List, Optional +from typing import List, Optional from ray.data import DataIterator from ray.rllib.policy.sample_batch import MultiAgentBatch, concat_samples from ray.rllib.policy.sample_batch import SampleBatch +from ray.rllib.utils import unflatten_dict from ray.rllib.utils.annotations import DeveloperAPI -from ray.rllib.utils.typing import EpisodeType +from ray.rllib.utils.typing import DeviceType, EpisodeType @DeveloperAPI @@ -194,24 +195,20 @@ def __init__( self, *, iterator: DataIterator, - collate_fn: Callable, - finalize_fn: Callable, + device: DeviceType, minibatch_size: int, num_iters: Optional[int], **kwargs, ): # A `ray.data.DataIterator` that can iterate in different ways over the data. self._iterator = iterator - self._collate_fn = collate_fn - self._finalize_fn = finalize_fn # Note, in multi-learner settings the `return_state` is in `kwargs`. self._kwargs = {k: v for k, v in kwargs.items() if k != "return_state"} # Holds a batched_iterable over the dataset. - self._batched_iterable = self._iterator._iter_batches( + self._batched_iterable = self._iterator.iter_torch_batches( batch_size=minibatch_size, - _collate_fn=self._collate_fn, - _finalize_fn=self._finalize_fn, + device=device, **self._kwargs, ) # Create an iterator that can be stopped and resumed during an epoch. @@ -225,6 +222,18 @@ def __iter__(self) -> MultiAgentBatch: # Update the iteration counter. iteration += 1 + batch = unflatten_dict(batch) + batch = MultiAgentBatch( + { + module_id: SampleBatch(module_data) + for module_id, module_data in batch.items() + }, + env_steps=sum( + len(next(iter(module_data.values()))) + for module_data in batch.values() + ), + ) + yield (batch) # If `num_iters` is reached break and return. From d63c35c041c5f241cc9762498e4c9100addcaa47 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 14 Jul 2025 13:38:00 +0200 Subject: [PATCH 0185/1566] [RLlib] Increased default timesteps on two experiments. (#54185) Signed-off-by: Douglas Strodtman --- rllib/examples/algorithms/vpg_custom_algorithm.py | 2 +- .../metrics/custom_metrics_in_algorithm_training_step.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/rllib/examples/algorithms/vpg_custom_algorithm.py b/rllib/examples/algorithms/vpg_custom_algorithm.py index 9dbc259204b0..d6400e92966a 100644 --- a/rllib/examples/algorithms/vpg_custom_algorithm.py +++ b/rllib/examples/algorithms/vpg_custom_algorithm.py @@ -81,7 +81,7 @@ parser = add_rllib_example_script_args( default_reward=250.0, default_iters=1000, - default_timesteps=750000, + default_timesteps=1_000_000, ) parser.set_defaults(enable_new_api_stack=True) diff --git a/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py b/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py index 357f37a0e3d1..56f3a8824e25 100644 --- a/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py +++ b/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py @@ -86,7 +86,7 @@ def get_default_config(cls) -> AlgorithmConfig: parser = add_rllib_example_script_args(default_reward=50.0) -parser.set_defaults(enable_new_api_stack=True) +parser.set_defaults(enable_new_api_stack=True, default_timesteps=50000) if __name__ == "__main__": From c9757ec2dd88502e01bf66261f242e43814698ce Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Mon, 14 Jul 2025 15:03:35 +0200 Subject: [PATCH 0186/1566] [RLlib, CI] Remove old API stack Unity3D test case. (#54582) Signed-off-by: Douglas Strodtman --- rllib/BUILD | 10 ---- rllib/env/wrappers/tests/test_unity3d_env.py | 58 -------------------- 2 files changed, 68 deletions(-) delete mode 100644 rllib/env/wrappers/tests/test_unity3d_env.py diff --git a/rllib/BUILD b/rllib/BUILD index 4b94b79294e6..650825c3040f 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -2265,16 +2265,6 @@ py_test( ], ) -py_test( - name = "env/wrappers/tests/test_unity3d_env", - size = "small", - srcs = ["env/wrappers/tests/test_unity3d_env.py"], - tags = [ - "env", - "team:rllib", - ], -) - # -------------------------------------------------------------------- # Evaluation components # rllib/evaluation/ diff --git a/rllib/env/wrappers/tests/test_unity3d_env.py b/rllib/env/wrappers/tests/test_unity3d_env.py deleted file mode 100644 index 09b4cddaf203..000000000000 --- a/rllib/env/wrappers/tests/test_unity3d_env.py +++ /dev/null @@ -1,58 +0,0 @@ -import unittest -from unittest.mock import patch - -from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv - - -@patch("mlagents_envs.environment.UnityEnvironment") -class TestUnity3DEnv(unittest.TestCase): - def test_port_editor(self, mock_unity3d): - """Test if the environment uses the editor port - when no environment file is provided""" - - _ = Unity3DEnv(port=None) - args, kwargs = mock_unity3d.call_args - mock_unity3d.assert_called_once() - self.assertEqual(5004, kwargs.get("base_port")) - - def test_port_app(self, mock_unity3d): - """Test if the environment uses the correct port - when the environment file is provided""" - - _ = Unity3DEnv(file_name="app", port=None) - args, kwargs = mock_unity3d.call_args - mock_unity3d.assert_called_once() - self.assertEqual(5005, kwargs.get("base_port")) - - def test_ports_multi_app(self, mock_unity3d): - """Test if the base_port + worker_id - is different for each environment""" - - _ = Unity3DEnv(file_name="app", port=None) - args, kwargs_first = mock_unity3d.call_args - _ = Unity3DEnv(file_name="app", port=None) - args, kwargs_second = mock_unity3d.call_args - self.assertNotEqual( - kwargs_first.get("base_port") + kwargs_first.get("worker_id"), - kwargs_second.get("base_port") + kwargs_second.get("worker_id"), - ) - - def test_custom_port_app(self, mock_unity3d): - """Test if the base_port + worker_id is different - for each environment when using custom ports""" - - _ = Unity3DEnv(file_name="app", port=5010) - args, kwargs_first = mock_unity3d.call_args - _ = Unity3DEnv(file_name="app", port=5010) - args, kwargs_second = mock_unity3d.call_args - self.assertNotEqual( - kwargs_first.get("base_port") + kwargs_first.get("worker_id"), - kwargs_second.get("base_port") + kwargs_second.get("worker_id"), - ) - - -if __name__ == "__main__": - import pytest - import sys - - sys.exit(pytest.main(["-v", __file__])) From ea1289889aa27a4b7c74fa88d726f1ab84cd5eb2 Mon Sep 17 00:00:00 2001 From: Vassilis Vassiliadis <43679502+VassilisVassiliadis@users.noreply.github.com> Date: Mon, 14 Jul 2025 15:53:41 +0100 Subject: [PATCH 0187/1566] [core] Support pip_install_options for pip (#53551) The PR introduces support for the field `pip.pip_install_options` for pip which behaves similar to the `uv.uv_pip_install_options` field for the `uv` environment manager. This will enable us to specify options to the `pip install` command that creates up the virtual environment for my ray job/actors. Closes: #52679 --------- Signed-off-by: Vassilis Vassiliadis Co-authored-by: Douglas Strodtman Signed-off-by: Douglas Strodtman --- doc/source/ray-core/handling-dependencies.rst | 1 + python/ray/_private/runtime_env/pip.py | 16 ++++--- python/ray/_private/runtime_env/uv.py | 1 - python/ray/_private/runtime_env/validation.py | 35 ++++++++++++++-- .../tests/test_runtime_env_conda_and_pip.py | 23 ++++++++-- .../tests/unit/test_runtime_env_validation.py | 42 +++++++++++++++++++ 6 files changed, 105 insertions(+), 13 deletions(-) diff --git a/doc/source/ray-core/handling-dependencies.rst b/doc/source/ray-core/handling-dependencies.rst index 6421ffe0def6..440b0dad0507 100644 --- a/doc/source/ray-core/handling-dependencies.rst +++ b/doc/source/ray-core/handling-dependencies.rst @@ -546,6 +546,7 @@ The ``runtime_env`` is a Python dictionary or a Python class :class:`ray.runtime `“requirements.txt” `_ file, or (3) a python dictionary that has three fields: (a) ``packages`` (required, List[str]): a list of pip packages, (b) ``pip_check`` (optional, bool): whether to enable `pip check `_ at the end of pip install, defaults to ``False``. (c) ``pip_version`` (optional, str): the version of pip; Ray will spell the package name "pip" in front of the ``pip_version`` to form the final requirement string. + (d) ``pip_install_options`` (optional, List[str]): user-provided options for ``pip install`` command. Defaults to ``["--disable-pip-version-check", "--no-cache-dir"]``. The syntax of a requirement specifier is defined in full in `PEP 508 `_. This will be installed in the Ray workers at runtime. Packages in the preinstalled cluster environment will still be available. To use a library like Ray Serve or Ray Tune, you will need to include ``"ray[serve]"`` or ``"ray[tune]"`` here. diff --git a/python/ray/_private/runtime_env/pip.py b/python/ray/_private/runtime_env/pip.py index 0af8a63914e0..903675496cd8 100644 --- a/python/ray/_private/runtime_env/pip.py +++ b/python/ray/_private/runtime_env/pip.py @@ -118,9 +118,8 @@ async def _pip_check( logger.info("Pip check on %s successfully.", path) - @classmethod async def _install_pip_packages( - cls, + self, path: str, pip_packages: List[str], cwd: str, @@ -143,7 +142,8 @@ async def _install_pip_packages( pip_packages, ) - # pip options + # Install all dependencies + # The default options for pip install are # # --disable-pip-version-check # Don't periodically check PyPI to determine whether a new version @@ -152,16 +152,22 @@ async def _install_pip_packages( # --no-cache-dir # Disable the cache, the pip runtime env is a one-time installation, # and we don't need to handle the pip cache broken. + # + # Allow users to specify their own options to install packages via `pip`. pip_install_cmd = [ python, "-m", "pip", "install", - "--disable-pip-version-check", - "--no-cache-dir", "-r", pip_requirements_file, ] + + pip_opt_list = self._pip_config.get( + "pip_install_options", ["--disable-pip-version-check", "--no-cache-dir"] + ) + pip_install_cmd.extend(pip_opt_list) + logger.info("Installing python requirements to %s", virtualenv_path) await check_output_cmd(pip_install_cmd, logger=logger, cwd=cwd, env=pip_env) diff --git a/python/ray/_private/runtime_env/uv.py b/python/ray/_private/runtime_env/uv.py index 196e0e43bd86..f7600876c483 100644 --- a/python/ray/_private/runtime_env/uv.py +++ b/python/ray/_private/runtime_env/uv.py @@ -167,7 +167,6 @@ async def _install_uv_packages( # # Difference with pip: # 1. `--disable-pip-version-check` has no effect for uv. - # 2. Allow user to specify their own options to install packages via `uv`. uv_install_cmd = [ python, "-m", diff --git a/python/ray/_private/runtime_env/validation.py b/python/ray/_private/runtime_env/validation.py index 214604c42940..0d5670409ef4 100644 --- a/python/ray/_private/runtime_env/validation.py +++ b/python/ray/_private/runtime_env/validation.py @@ -270,14 +270,16 @@ def parse_and_validate_pip(pip: Union[str, List[str], Dict]) -> Optional[Dict]: the package name 'pip' in front of the `pip_version` to form the final requirement string, the syntax of a requirement specifier is defined in full in PEP 508. + d) pip_install_options (optional, List[str]): user-provided options for + `pip install` command, defaults to ["--disable-pip-version-check", "--no-cache-dir"]. The returned parsed value will be a list of pip packages. If a Ray library (e.g. "ray[serve]") is specified, it will be deleted and replaced by its dependencies (e.g. "uvicorn", "requests"). """ assert pip is not None - result = None + if sys.platform == "win32": logger.warning( "runtime environment support is experimental on Windows. " @@ -287,14 +289,22 @@ def parse_and_validate_pip(pip: Union[str, List[str], Dict]) -> Optional[Dict]: if isinstance(pip, str): # We have been given a path to a requirements.txt file. pip_list = _handle_local_deps_requirement_file(pip) - result = dict(packages=pip_list, pip_check=False) + result = dict( + packages=pip_list, + pip_check=False, + ) elif isinstance(pip, list) and all(isinstance(dep, str) for dep in pip): result = dict(packages=pip, pip_check=False) elif isinstance(pip, dict): - if set(pip.keys()) - {"packages", "pip_check", "pip_version"}: + if set(pip.keys()) - { + "packages", + "pip_check", + "pip_install_options", + "pip_version", + }: raise ValueError( "runtime_env['pip'] can only have these fields: " - "packages, pip_check and pip_version, but got: " + "packages, pip_check, pip_install_options and pip_version, but got: " f"{list(pip.keys())}" ) @@ -309,8 +319,25 @@ def parse_and_validate_pip(pip: Union[str, List[str], Dict]) -> Optional[Dict]: "runtime_env['pip']['pip_version'] must be of type str, " f"got {type(pip['pip_version'])}" ) + if "pip_install_options" in pip: + if not isinstance(pip["pip_install_options"], list): + raise TypeError( + "runtime_env['pip']['pip_install_options'] must be of type " + f"list[str] got {type(pip['pip_install_options'])}" + ) + # Check each item in installation option. + for idx, cur_opt in enumerate(pip["pip_install_options"]): + if not isinstance(cur_opt, str): + raise TypeError( + "runtime_env['pip']['pip_install_options'] must be of type " + f"list[str] got {type(cur_opt)} for {idx}-th item." + ) + result = pip.copy() + # Contrary to pip_check, we do not insert the default value of pip_install_options. + # This is to maintain backwards compatibility with ray==2.0.1 result["pip_check"] = pip.get("pip_check", False) + if "packages" not in pip: raise ValueError( f"runtime_env['pip'] must include field 'packages', but got {pip}" diff --git a/python/ray/tests/test_runtime_env_conda_and_pip.py b/python/ray/tests/test_runtime_env_conda_and_pip.py index 7dc166768415..027a582cf833 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip.py @@ -204,9 +204,6 @@ def test_import(self): def test_import_in_subprocess(shutdown_only): - - ray.init() - @ray.remote(runtime_env={"pip": ["pip-install-test==0.5"]}) def f(): return subprocess.run(["python", "-c", "import pip_install_test"]).returncode @@ -373,5 +370,25 @@ def test_import(): assert ray.get(test_import.remote()) == "pip_install_test" +def test_pip_install_options(shutdown_only): + # Test that this successfully builds a ray runtime environment using pip_install_options + @ray.remote( + runtime_env={ + "pip": { + "packages": ["pip-install-test==0.5"], + "pip_install_options": [ + "--no-cache-dir", + "--no-build-isolation", + "--disable-pip-version-check", + ], + } + } + ) + def f(): + return True + + assert ray.get(f.remote()) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/unit/test_runtime_env_validation.py b/python/ray/tests/unit/test_runtime_env_validation.py index 1cd6a5ef3e7e..df848c8d4c3f 100644 --- a/python/ray/tests/unit/test_runtime_env_validation.py +++ b/python/ray/tests/unit/test_runtime_env_validation.py @@ -500,6 +500,48 @@ def test_validate_ray(self): assert not result["pip_check"] assert "pip_version" not in result + def test_validate_pip_install_options(self): + # Happy path for non-empty pip_install_options + opts = ["--no-cache-dir", "--no-build-isolation", "--disable-pip-version-check"] + result = validation.parse_and_validate_pip( + { + "packages": ["pkg1", "ray", "pkg2"], + "pip_install_options": list(opts), + } + ) + assert result["packages"] == ["pkg1", "ray", "pkg2"] + assert not result["pip_check"] + assert "pip_version" not in result + assert result["pip_install_options"] == opts + + # Happy path for missing pip_install_options. No default value for field + # to maintain backwards compatibility with ray==2.0.1 + result = validation.parse_and_validate_pip( + { + "packages": ["pkg1", "ray", "pkg2"], + } + ) + assert "pip_install_options" not in result + + with pytest.raises(TypeError) as e: + validation.parse_and_validate_pip( + { + "packages": ["pkg1", "ray", "pkg2"], + "pip_install_options": [False], + } + ) + assert "pip_install_options" in str(e) and "must be of type list[str]" in str(e) + + with pytest.raises(TypeError) as e: + validation.parse_and_validate_pip( + { + "packages": ["pkg1", "ray", "pkg2"], + "pip_install_options": None, + } + ) + + assert "pip_install_options" in str(e) and "must be of type list[str]" in str(e) + class TestValidateEnvVars: def test_type_validation(self): From ede9521051f68eb390c6b55cb050fae9fe6a4dfc Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Mon, 14 Jul 2025 22:54:34 +0800 Subject: [PATCH 0188/1566] [Core] Minor fixes in GCS health check manager (#54473) Found small issues in health check manager: As gemini summarzied: * **Typo Correction**: Corrected a consistent typo from `lastest_known_healthy_timestamp_` to `latest_known_healthy_timestamp_` across multiple instances in both `gcs_health_check_manager.cc` and * **Code Clarity**: Simplified the type name for `::grpc::health::v1::HealthCheckResponse` to `HealthCheckResponse` in `gcs_health_check_manager.cc`. This change likely leverages a `using` declaration or local scope, making the code more concise and readable. --------- Signed-off-by: You-Cheng Lin (Owen) Co-authored-by: Kai-Hsun Chen Co-authored-by: Dhyey Shah Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_health_check_manager.cc | 4 ++-- src/ray/gcs/gcs_server/gcs_health_check_manager.h | 8 +++----- 2 files changed, 5 insertions(+), 7 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc b/src/ray/gcs/gcs_server/gcs_health_check_manager.cc index 5af6cde1054e..239a18c2aa4c 100644 --- a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_health_check_manager.cc @@ -141,7 +141,7 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { // Check latest health status, see whether a new rpc message is needed. const auto now = absl::Now(); absl::Time next_check_time = - lastest_known_healthy_timestamp_ + absl::Milliseconds(manager->period_ms_); + latest_known_healthy_timestamp_ + absl::Milliseconds(manager->period_ms_); if (now <= next_check_time) { // Update message is fresh enough, skip current check and schedule later. int64_t next_schedule_millisec = (next_check_time - now) / absl::Milliseconds(1); @@ -152,7 +152,7 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { // grpc context and health check response are dedicated to one single async request. auto context = std::make_shared(); - auto response = std::make_shared<::grpc::health::v1::HealthCheckResponse>(); + auto response = std::make_shared(); // Get the context and response pointer before async call, since the order of function // arguments resolution is non-deterministic. diff --git a/src/ray/gcs/gcs_server/gcs_health_check_manager.h b/src/ray/gcs/gcs_server/gcs_health_check_manager.h index b7794ff31bca..afcca92f94af 100644 --- a/src/ray/gcs/gcs_server/gcs_health_check_manager.h +++ b/src/ray/gcs/gcs_server/gcs_health_check_manager.h @@ -116,7 +116,7 @@ class GcsHealthCheckManager : public std::enable_shared_from_thisio_service_), health_check_remaining_(manager->failure_threshold_) { request_.set_service(node_id.Hex()); - stub_ = grpc::health::v1::Health::NewStub(channel); + stub_ = grpc::health::v1::Health::NewStub(std::move(channel)); timer_.expires_from_now( boost::posix_time::milliseconds(manager->initial_delay_ms_)); timer_.async_wait([this](auto) { StartHealthCheck(); }); @@ -124,9 +124,7 @@ class GcsHealthCheckManager : public std::enable_shared_from_this Date: Tue, 15 Jul 2025 00:57:21 +0800 Subject: [PATCH 0189/1566] [Doc] Update Istio service mesh graph and image tag to 2.46.0 (#53988) Signed-off-by: win5923 Signed-off-by: Douglas Strodtman --- .../kubernetes/images/istio-kiali-1.png | Bin 458710 -> 177804 bytes .../kubernetes/images/istio-kiali-2.png | Bin 310223 -> 102445 bytes .../cluster/kubernetes/k8s-ecosystem/istio.md | 61 +----------------- 3 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b/doc/source/cluster/kubernetes/k8s-ecosystem/istio.md @@ -173,58 +173,6 @@ The default Ray worker port range, from 10002 to 19999, is too large to specify The upcoming RayCluster _must_ use exactly the same ports listed in the previous Headless Service, including the `max-worker-port`. In addition, the `node-ip-address` _must_ be set to the Pod FQDN of the Headless Service to enable Istio L7 observability. - ::::{tab-set} - - :::{tab-item} ARM64 (Apple Silicon) - ```bash - kubectl apply -f - < Date: Mon, 14 Jul 2025 10:00:11 -0700 Subject: [PATCH 0190/1566] Fix backpressure gRPC error code (#54537) ## Why are these changes needed? On backpressure, the gRPC utils returned UNAVAILABLE which is misleading and should return RESOURCE_EXHAUSTED. This PR fixes this discrepancy. --------- Co-authored-by: Omkar Kulkarni Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/grpc_util.py | 8 +++++++- python/ray/serve/tests/test_backpressure.py | 2 +- python/ray/serve/tests/unit/test_grpc_util.py | 17 +++++++++++++++++ 3 files changed, 25 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/_private/grpc_util.py b/python/ray/serve/_private/grpc_util.py index b562ccfe2fd4..147f68bff9bd 100644 --- a/python/ray/serve/_private/grpc_util.py +++ b/python/ray/serve/_private/grpc_util.py @@ -127,7 +127,13 @@ def get_grpc_response_status( is_error=True, message=message, ) - elif isinstance(exc, (BackPressureError, DeploymentUnavailableError)): + elif isinstance(exc, BackPressureError): + return ResponseStatus( + code=grpc.StatusCode.RESOURCE_EXHAUSTED, + is_error=True, + message=exc.message, + ) + elif isinstance(exc, DeploymentUnavailableError): if isinstance(exc, RayTaskError): logger.warning(f"Request failed: {exc}", extra={"log_to_stderr": False}) return ResponseStatus( diff --git a/python/ray/serve/tests/test_backpressure.py b/python/ray/serve/tests/test_backpressure.py index a4b2874c28e1..ae8be8209f77 100644 --- a/python/ray/serve/tests/test_backpressure.py +++ b/python/ray/serve/tests/test_backpressure.py @@ -137,7 +137,7 @@ def do_request(msg: str) -> Tuple[grpc.StatusCode, str]: _, pending = ray.wait([second_ref], timeout=0.1) for _ in range(10): status_code, text = ray.get(do_request.remote(("hi-err"))) - assert status_code == grpc.StatusCode.UNAVAILABLE + assert status_code == grpc.StatusCode.RESOURCE_EXHAUSTED assert text.startswith("Request dropped due to backpressure") # Send the signal; the first request will be unblocked and the second should diff --git a/python/ray/serve/tests/unit/test_grpc_util.py b/python/ray/serve/tests/unit/test_grpc_util.py index 65547f9a0196..31d9c3521203 100644 --- a/python/ray/serve/tests/unit/test_grpc_util.py +++ b/python/ray/serve/tests/unit/test_grpc_util.py @@ -9,9 +9,11 @@ from ray import cloudpickle from ray.serve._private.default_impl import add_grpc_address from ray.serve._private.grpc_util import ( + get_grpc_response_status, gRPCGenericServer, ) from ray.serve._private.test_utils import FakeGrpcContext +from ray.serve.exceptions import BackPressureError from ray.serve.grpc_util import RayServegRPCContext @@ -101,6 +103,21 @@ def test_add_grpc_address(): assert fake_grpc_server.address == grpc_address +def test_get_grpc_response_status_backpressure_error(): + """Test that BackPressureError returns RESOURCE_EXHAUSTED status.""" + backpressure_error = BackPressureError( + num_queued_requests=10, max_queued_requests=5 + ) + + status = get_grpc_response_status( + exc=backpressure_error, request_timeout_s=30.0, request_id="test_request_123" + ) + + assert status.code == grpc.StatusCode.RESOURCE_EXHAUSTED + assert status.is_error is True + assert status.message == backpressure_error.message + + if __name__ == "__main__": import sys From 0d69884d0329386e7eac208c3f78ca05f76034b8 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 14 Jul 2025 10:29:52 -0700 Subject: [PATCH 0191/1566] [docs] updating broken links on rllib torch doc (#53161) updating dead links on Rllib and torch docs to point to ray repo files Issue: https://github.com/ray-project/ray/issues/52495 Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-torch2x.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/rllib/rllib-torch2x.rst b/doc/source/rllib/rllib-torch2x.rst index 11d9afc2bad4..5e3b0a0486cd 100644 --- a/doc/source/rllib/rllib-torch2x.rst +++ b/doc/source/rllib/rllib-torch2x.rst @@ -61,7 +61,7 @@ For the benchmarking metric, we compute the inverse of the time it takes to run - inductor + reduce-overhead -For detailed tables, see `Appendix <../../../../rllib/benchmarks/torch_compile/README.md#appendix>`_. For the benchmarking code, see `run_inference_bm.py <../../../../rllib/benchmarks/torch_compile/run_inference_bm.py>`_. To run the benchmark use the following command: +For detailed tables, see `Appendix `_. For the benchmarking code, see `run_inference_bm.py `_. To run the benchmark use the following command: .. code-block:: bash @@ -95,7 +95,7 @@ In RLlib, you can now set the configuration so that it uses the compiled module ) -`This <../../../../rllib/benchmarks/torch_compile/run_ppo_with_inference_bm.py>`_ benchmark script runs the PPO algorithm with the default model architecture for the Atari-Breakout game. It runs the training for ``n`` iterations for both compiled and non-compiled RLModules and reports the speedup. Note that negative speedup values mean a slowdown when you compile the module. +`This `_ benchmark script runs the PPO algorithm with the default model architecture for the Atari-Breakout game. It runs the training for ``n`` iterations for both compiled and non-compiled RLModules and reports the speedup. Note that negative speedup values mean a slowdown when you compile the module. To run the benchmark script, you need a Ray cluster comprised of at least 129 CPUs (2x64 + 1) and 2 GPUs. If this configuration isn't accessible to you, you can change the number of sampling workers and batch size to make the requirements smaller. From 6ac34f248d2dd92a84e2b6525485c5641ca5792c Mon Sep 17 00:00:00 2001 From: Hao Chen Date: Mon, 14 Jul 2025 11:01:55 -0700 Subject: [PATCH 0192/1566] [data] Allocate GPU resources in ResourceManager (#54445) Allocate GPU resources in ResourceManager. Currently we just allocate all available GPUs to all operators that need GPUs. If you have multiple GPU ops, each of them will get all GPUs. This PR is mainly to make the resource budget reporting correct. --------- Signed-off-by: Hao Chen Signed-off-by: Douglas Strodtman --- .../_internal/execution/resource_manager.py | 14 ++- .../execution/streaming_executor_state.py | 20 ++-- .../ray/data/tests/test_resource_manager.py | 99 +++++++++++++++++-- .../ray/data/tests/test_streaming_executor.py | 47 +++++---- 4 files changed, 133 insertions(+), 47 deletions(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index 57bc4c7e7cce..ae5c6ffc1d03 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -553,7 +553,7 @@ def _update_reservation(self): self._total_shared = remaining def get_budget(self, op: PhysicalOperator) -> Optional[ExecutionResources]: - return self._op_budgets.get(op, None) + return self._op_budgets.get(op) def _should_unblock_streaming_output_backpressure( self, op: PhysicalOperator @@ -698,9 +698,15 @@ def update_usages(self): to_borrow, ) self._op_budgets[op] = self._op_budgets[op].add(op_shared) - # We don't limit GPU resources, as not all operators - # use GPU resources. - self._op_budgets[op].gpu = float("inf") + if op.min_max_resource_requirements()[1].gpu > 0: + # If an operator needs GPU, we just allocate all GPUs to it. + # TODO(hchen): allocate resources across multiple GPU operators. + self._op_budgets[op].gpu = ( + self._resource_manager.get_global_limits().gpu + - self._resource_manager.get_op_usage(op).gpu + ) + else: + self._op_budgets[op].gpu = 0 # A materializing operator like `AllToAllOperator` waits for all its input # operator's outputs before processing data. This often forces the input diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index c075cbfa53d1..f658a2ff5eb5 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -451,18 +451,14 @@ def process_completed_tasks( max_bytes_to_read_per_op: Dict[OpState, int] = {} for op, state in topology.items(): - # Check all backpressure policies for max_task_output_bytes_to_read - # Use the minimum limit from all policies (most restrictive) - max_bytes_to_read = None - for policy in backpressure_policies: - policy_limit = policy.max_task_output_bytes_to_read(op) - if policy_limit is not None: - if max_bytes_to_read is None: - max_bytes_to_read = policy_limit - else: - max_bytes_to_read = min(max_bytes_to_read, policy_limit) - - # If no policy provides a limit, there's no limit + max_bytes_to_read = min( + ( + limit + for policy in backpressure_policies + if (limit := policy.max_task_output_bytes_to_read(op)) is not None + ), + default=None, + ) op.notify_in_task_output_backpressure(max_bytes_to_read == 0) if max_bytes_to_read is not None: max_bytes_to_read_per_op[state] = max_bytes_to_read diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index 7ae70f166efc..09c4c9982633 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -395,8 +395,8 @@ def can_submit_new_task(allocator, op): # 50% of the global limits are shared. assert allocator._total_shared == ExecutionResources(8, 0, 500) # Test budgets. - assert allocator._op_budgets[o2] == ExecutionResources(8, float("inf"), 375) - assert allocator._op_budgets[o3] == ExecutionResources(8, float("inf"), 375) + assert allocator._op_budgets[o2] == ExecutionResources(8, 0, 375) + assert allocator._op_budgets[o3] == ExecutionResources(8, 0, 375) # Test can_submit_new_task and max_task_output_bytes_to_read. assert can_submit_new_task(allocator, o2) assert can_submit_new_task(allocator, o3) @@ -425,9 +425,9 @@ def can_submit_new_task(allocator, op): # remaining shared = 1000/2 - 275 = 225 # Test budgets. # memory_budget[o2] = 0 + 225/2 = 112.5 - assert allocator._op_budgets[o2] == ExecutionResources(3, float("inf"), 112.5) + assert allocator._op_budgets[o2] == ExecutionResources(3, 0, 112.5) # memory_budget[o3] = 95 + 225/2 = 207.5 - assert allocator._op_budgets[o3] == ExecutionResources(5, float("inf"), 207.5) + assert allocator._op_budgets[o3] == ExecutionResources(5, 0, 207.5) # Test can_submit_new_task and max_task_output_bytes_to_read. assert can_submit_new_task(allocator, o2) assert can_submit_new_task(allocator, o3) @@ -461,9 +461,9 @@ def can_submit_new_task(allocator, op): # Test budgets. # memory_budget[o2] = 0 + 100/2 = 50 - assert allocator._op_budgets[o2] == ExecutionResources(1.5, float("inf"), 50) + assert allocator._op_budgets[o2] == ExecutionResources(1.5, 0, 50) # memory_budget[o3] = 70 + 100/2 = 120 - assert allocator._op_budgets[o3] == ExecutionResources(2.5, float("inf"), 120) + assert allocator._op_budgets[o3] == ExecutionResources(2.5, 0, 120) # Test can_submit_new_task and max_task_output_bytes_to_read. assert can_submit_new_task(allocator, o2) assert can_submit_new_task(allocator, o3) @@ -624,6 +624,93 @@ def test_only_handle_eligible_ops(self, restore_data_context): allocator.update_usages() assert o2 not in allocator._op_budgets + def test_gpu_allocation(self, restore_data_context): + """Test GPU allocation for GPU vs non-GPU operators.""" + DataContext.get_current().op_resource_reservation_enabled = True + DataContext.get_current().op_resource_reservation_ratio = 0.5 + + o1 = InputDataBuffer(DataContext.get_current(), []) + + # Non-GPU operator + o2 = mock_map_op(o1) + o2.min_max_resource_requirements = MagicMock( + return_value=(ExecutionResources(0, 0, 0), ExecutionResources(0, 0, 0)) + ) + + # GPU operator + o3 = mock_map_op(o2, ray_remote_args={"num_gpus": 1}) + o3.min_max_resource_requirements = MagicMock( + return_value=(ExecutionResources(0, 1, 0), ExecutionResources(0, 1, 0)) + ) + + topo, _ = build_streaming_topology(o3, ExecutionOptions()) + + global_limits = ExecutionResources(gpu=4) + op_usages = { + o1: ExecutionResources.zero(), + o2: ExecutionResources.zero(), + o3: ExecutionResources(gpu=1), # GPU op using 1 GPU + } + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + resource_manager.get_op_usage = MagicMock(side_effect=lambda op: op_usages[op]) + resource_manager._mem_op_internal = dict.fromkeys([o1, o2, o3], 0) + resource_manager._mem_op_outputs = dict.fromkeys([o1, o2, o3], 0) + resource_manager.get_global_limits = MagicMock(return_value=global_limits) + + allocator = resource_manager._op_resource_allocator + allocator.update_usages() + + # Non-GPU operator should get 0 GPU + assert allocator._op_budgets[o2].gpu == 0 + + # GPU operator should get remaining GPUs (4 total - 1 used = 3 available) + assert allocator._op_budgets[o3].gpu == 3 + + def test_multiple_gpu_operators(self, restore_data_context): + """Test GPU allocation for multiple GPU operators.""" + DataContext.get_current().op_resource_reservation_enabled = True + DataContext.get_current().op_resource_reservation_ratio = 0.5 + + o1 = InputDataBuffer(DataContext.get_current(), []) + + # Two GPU operators + o2 = mock_map_op(o1, ray_remote_args={"num_gpus": 1}) + o2.min_max_resource_requirements = MagicMock( + return_value=(ExecutionResources(0, 1, 0), ExecutionResources(0, 1, 0)) + ) + + o3 = mock_map_op(o2, ray_remote_args={"num_gpus": 1}) + o3.min_max_resource_requirements = MagicMock( + return_value=(ExecutionResources(0, 1, 0), ExecutionResources(0, 1, 0)) + ) + + topo, _ = build_streaming_topology(o3, ExecutionOptions()) + + global_limits = ExecutionResources(gpu=4) + op_usages = { + o1: ExecutionResources.zero(), + o2: ExecutionResources(gpu=1), # Using 1 GPU + o3: ExecutionResources(gpu=0), # Not using GPU yet + } + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + resource_manager.get_op_usage = MagicMock(side_effect=lambda op: op_usages[op]) + resource_manager.get_global_limits = MagicMock(return_value=global_limits) + + allocator = resource_manager._op_resource_allocator + allocator.update_usages() + + # o2: 4 total - 1 used = 3 available + assert allocator._op_budgets[o2].gpu == 3 + + # o3: 4 total - 0 used = 4 available + assert allocator._op_budgets[o3].gpu == 4 + if __name__ == "__main__": import sys diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index e3aea99ab722..ae9f0e4ef286 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -10,7 +10,9 @@ from ray._private.test_utils import run_string_as_driver_nonblocking from ray.data._internal.datasource.parquet_datasink import ParquetDatasink from ray.data._internal.datasource.parquet_datasource import ParquetDatasource -from ray.data._internal.execution.backpressure_policy import BackpressurePolicy +from ray.data._internal.execution.backpressure_policy.resource_budget_backpressure_policy import ( + ResourceBudgetBackpressurePolicy, +) from ray.data._internal.execution.execution_callback import ( EXECUTION_CALLBACKS_ENV_VAR, ExecutionCallback, @@ -276,35 +278,30 @@ def _get_eligible_ops_to_run(ensure_liveness: bool): assert _get_eligible_ops_to_run(ensure_liveness=False) == [o2] # `o2` operator is now back-pressured - class TestBackpressurePolicy(BackpressurePolicy): - def __init__(self, op_to_block): - self._op_to_block = op_to_block - - def can_add_input(self, op): - if op is self._op_to_block: - return False - return True - - def max_task_output_bytes_to_read(self, op): - return None + with patch.object( + ResourceBudgetBackpressurePolicy, "can_add_input" + ) as mock_can_add_input: + mock_can_add_input.side_effect = lambda op: op is not o2 - test_policy = TestBackpressurePolicy(o2) - - def _get_eligible_ops_to_run_with_policy(ensure_liveness: bool): - return get_eligible_operators( - topo, [test_policy], ensure_liveness=ensure_liveness + test_policy = ResourceBudgetBackpressurePolicy( + MagicMock(), MagicMock(), MagicMock() ) - assert _get_eligible_ops_to_run_with_policy(ensure_liveness=False) == [o3] + def _get_eligible_ops_to_run_with_policy(ensure_liveness: bool): + return get_eligible_operators( + topo, [test_policy], ensure_liveness=ensure_liveness + ) - # Complete `o3` - with patch.object(o3, "completed") as _mock: - _mock.return_value = True - # Clear up input queue - topo[o3].input_queues[0].clear() + assert _get_eligible_ops_to_run_with_policy(ensure_liveness=False) == [o3] + + # Complete `o3` + with patch.object(o3, "completed") as _mock: + _mock.return_value = True + # Clear up input queue + topo[o3].input_queues[0].clear() - # To ensure liveness back-pressure limits will be ignored - assert _get_eligible_ops_to_run_with_policy(ensure_liveness=True) == [o2] + # To ensure liveness back-pressure limits will be ignored + assert _get_eligible_ops_to_run_with_policy(ensure_liveness=True) == [o2] def test_rank_operators(): From 3ba85eada1ee8ab0582bba91b3a300b21c604d9a Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 14 Jul 2025 11:32:51 -0700 Subject: [PATCH 0193/1566] [serve] update receive proxy in replica (#54585) 1. Only start a receive task if `receive` has `fetch_until_disconnect`. 2. Assume `pickled_messages` will always be bytes. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 11 +---------- python/ray/serve/_private/replica.py | 4 +++- 2 files changed, 4 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index e34544df9674..ee233d7c354d 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -377,16 +377,7 @@ async def fetch_until_disconnect(self): pickled_messages = await self._receive_asgi_messages( self._request_metadata ) - if isinstance(pickled_messages, bytes): - messages = pickle.loads(pickled_messages) - else: - messages = ( - pickled_messages - if isinstance(pickled_messages, list) - else [pickled_messages] - ) - - for message in messages: + for message in pickle.loads(pickled_messages): self.queue.put_nowait(message) if message["type"] in {"http.disconnect", "websocket.disconnect"}: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 4c47af5efb15..d71196b5aa6a 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -1665,7 +1665,9 @@ async def _call_http_entrypoint( receive_task = None try: - receive_task = asyncio.create_task(receive.fetch_until_disconnect()) + if hasattr(receive, "fetch_until_disconnect"): + receive_task = asyncio.create_task(receive.fetch_until_disconnect()) + result, sync_gen_consumed = await self._call_func_or_gen( user_method_info.callable, args=request_args, From 3f321ac0a558a08f5d5ecb493652ef1c2a9d2a49 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 15 Jul 2025 01:03:20 +0530 Subject: [PATCH 0194/1566] migrate ray_option_utils from private to common (#54578) migrating the below mentioned from `_private` to `_common` - ray_option_utils file - HEAD_NODE_RESOURCE_NAME - NODE_ID_PREFIX as part of: https://github.com/ray-project/ray/issues/53478 --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/_common/constants.py | 5 + .../{_private => _common}/ray_option_utils.py | 3 + python/ray/_common/tests/BUILD | 1 + .../_common/tests/test_ray_option_utils.py | 220 ++++++++++++++++++ python/ray/_private/resource_spec.py | 7 +- python/ray/_private/state.py | 2 +- python/ray/_private/worker.py | 2 +- python/ray/actor.py | 4 +- python/ray/autoscaler/v2/tests/test_e2e.py | 2 +- .../observability/usage_telemetry/usage.py | 2 +- .../observability/usage_telemetry/usage.py | 2 +- python/ray/remote_function.py | 4 +- python/ray/serve/_private/config.py | 2 +- python/ray/serve/_private/default_impl.py | 2 +- python/ray/serve/_private/utils.py | 2 +- python/ray/serve/tests/test_serve_ha.py | 2 +- python/ray/serve/tests/test_util.py | 2 +- python/ray/tests/test_basic.py | 2 +- python/ray/tests/test_basic_5.py | 2 +- python/ray/tune/utils/resource_updater.py | 2 +- python/ray/util/client/api.py | 2 +- python/ray/util/client/options.py | 2 +- 22 files changed, 249 insertions(+), 25 deletions(-) create mode 100644 python/ray/_common/constants.py rename python/ray/{_private => _common}/ray_option_utils.py (99%) create mode 100644 python/ray/_common/tests/test_ray_option_utils.py diff --git a/python/ray/_common/constants.py b/python/ray/_common/constants.py new file mode 100644 index 000000000000..e77a8ff77019 --- /dev/null +++ b/python/ray/_common/constants.py @@ -0,0 +1,5 @@ +# Prefix for the node id resource that is automatically added to each node. +# For example, a node may have id `node:172.23.42.1`. +NODE_ID_PREFIX = "node:" +# The system resource that head node has. +HEAD_NODE_RESOURCE_NAME = NODE_ID_PREFIX + "__internal_head__" diff --git a/python/ray/_private/ray_option_utils.py b/python/ray/_common/ray_option_utils.py similarity index 99% rename from python/ray/_private/ray_option_utils.py rename to python/ray/_common/ray_option_utils.py index 46291d4bf637..597c0dd60518 100644 --- a/python/ray/_private/ray_option_utils.py +++ b/python/ray/_common/ray_option_utils.py @@ -49,6 +49,9 @@ def _counting_option(name: str, infinite: bool = True, default_value: Any = None name: The name of the option keyword. infinite: If True, user could use -1 to represent infinity. default_value: The default value for this option. + + Returns: + An Option object. """ if infinite: return Option( diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD index 7f90ef809e85..d3c738fc244a 100644 --- a/python/ray/_common/tests/BUILD +++ b/python/ray/_common/tests/BUILD @@ -4,6 +4,7 @@ load("//bazel:python.bzl", "py_test_module_list") py_test_module_list( size = "small", files = [ + "test_ray_option_utils.py", "test_signal_semaphore_utils.py", "test_signature.py", "test_utils.py", diff --git a/python/ray/_common/tests/test_ray_option_utils.py b/python/ray/_common/tests/test_ray_option_utils.py new file mode 100644 index 000000000000..48d48f385927 --- /dev/null +++ b/python/ray/_common/tests/test_ray_option_utils.py @@ -0,0 +1,220 @@ +import pytest +import re +import sys +from unittest.mock import patch + +from ray.util.placement_group import PlacementGroup +from ray._common.ray_option_utils import ( + Option, + _counting_option, + _validate_resource_quantity, + _resource_option, + _validate_resources, + validate_task_options, + validate_actor_options, + update_options, + _check_deprecate_placement_group, +) + + +class TestOptionValidation: + def test_option_validate(self): + opt = Option( + type_constraint=int, value_constraint=lambda v: "error" if v < 0 else None + ) + opt.validate("test", 1) + with pytest.raises(TypeError): + opt.validate("test", "a") + with pytest.raises(ValueError, match="error"): + opt.validate("test", -1) + + def test_counting_option(self): + # Test infinite counting option + opt_inf = _counting_option("test_inf", infinite=True) + opt_inf.validate("test_inf", 5) + opt_inf.validate("test_inf", 0) + opt_inf.validate("test_inf", -1) # Represents infinity + opt_inf.validate("test_inf", None) + with pytest.raises(ValueError): + opt_inf.validate("test_inf", -2) + with pytest.raises(TypeError): + opt_inf.validate("test_inf", 1.5) + + # Test non-infinite counting option + opt_non_inf = _counting_option("test_non_inf", infinite=False) + opt_non_inf.validate("test_non_inf", 5) + opt_non_inf.validate("test_non_inf", 0) + opt_non_inf.validate("test_non_inf", None) + with pytest.raises(ValueError): + opt_non_inf.validate("test_non_inf", -1) + + @patch("ray._raylet.RESOURCE_UNIT_SCALING", 10000) + @patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value={"GPU", "TPU"}, + ) + @patch("ray._private.accelerators.get_accelerator_manager_for_resource") + def test_validate_resource_quantity(self, mock_get_manager, mock_get_all_names): + # Valid cases + assert _validate_resource_quantity("CPU", 1) is None + assert _validate_resource_quantity("memory", 0) is None + assert _validate_resource_quantity("custom", 0.5) is None + + # Invalid cases + err = _validate_resource_quantity("CPU", -1) + assert isinstance(err, str) + assert "cannot be negative" in err + err = _validate_resource_quantity("CPU", 0.00001) + assert isinstance(err, str) + assert "cannot go beyond 0.0001" in err + + # Accelerator validation + mock_manager_instance = mock_get_manager.return_value + mock_manager_instance.validate_resource_request_quantity.return_value = ( + False, + "mock error", + ) + err = _validate_resource_quantity("GPU", 1.5) + assert isinstance(err, str) + assert "mock error" in err + mock_get_manager.assert_called_with("GPU") + mock_manager_instance.validate_resource_request_quantity.assert_called_with(1.5) + + mock_manager_instance.validate_resource_request_quantity.return_value = ( + True, + "", + ) + assert _validate_resource_quantity("TPU", 1) is None + + def test_resource_option(self): + opt = _resource_option("CPU") + opt.validate("CPU", 1) + opt.validate("CPU", 0.5) + opt.validate("CPU", None) + with pytest.raises(TypeError): + opt.validate("CPU", "1") + with pytest.raises(ValueError): + opt.validate("CPU", -1.0) + + def test_validate_resources(self): + assert _validate_resources(None) is None + assert _validate_resources({"custom": 1}) is None + err = _validate_resources({"CPU": 1, "GPU": 1}) + assert isinstance(err, str) + assert "Use the 'num_cpus' and 'num_gpus' keyword" in err + err = _validate_resources({"custom": -1}) + assert isinstance(err, str) + assert "cannot be negative" in err + + +class TestTaskActorOptionValidation: + def test_validate_task_options_valid(self): + validate_task_options({"num_cpus": 2, "max_retries": 3}, in_options=False) + + def test_validate_task_options_invalid_keyword(self): + with pytest.raises(ValueError, match="Invalid option keyword"): + validate_task_options({"invalid_option": 1}, in_options=False) + + def test_validate_task_options_in_options_invalid(self): + with pytest.raises( + ValueError, + match=re.escape("Setting 'max_calls' is not supported in '.options()'."), + ): + validate_task_options({"max_calls": 5}, in_options=True) + + def test_validate_actor_options_valid(self): + validate_actor_options({"max_concurrency": 2, "name": "abc"}, in_options=False) + + def test_validate_actor_options_invalid_keyword(self): + with pytest.raises(ValueError, match="Invalid option keyword"): + validate_actor_options({"invalid_option": 1}, in_options=False) + + def test_validate_actor_options_in_options_invalid(self): + with pytest.raises( + ValueError, + match=re.escape( + "Setting 'concurrency_groups' is not supported in '.options()'." + ), + ): + validate_actor_options({"concurrency_groups": {}}, in_options=True) + + def test_validate_actor_get_if_exists_no_name(self): + with pytest.raises( + ValueError, match="must be specified to use `get_if_exists`" + ): + validate_actor_options({"get_if_exists": True}, in_options=False) + + def test_validate_actor_object_store_memory_warning(self): + with pytest.warns( + DeprecationWarning, + match="Setting 'object_store_memory' for actors is deprecated", + ): + validate_actor_options({"object_store_memory": 100}, in_options=False) + + def test_check_deprecate_placement_group(self): + pg = PlacementGroup.empty() + # No error if only one is specified + _check_deprecate_placement_group({"placement_group": pg}) + _check_deprecate_placement_group({"scheduling_strategy": "SPREAD"}) + + # Error if both are specified + with pytest.raises( + ValueError, match="Placement groups should be specified via" + ): + _check_deprecate_placement_group( + {"placement_group": pg, "scheduling_strategy": "SPREAD"} + ) + + # Check no error with default or None placement_group + _check_deprecate_placement_group( + {"placement_group": "default", "scheduling_strategy": "SPREAD"} + ) + _check_deprecate_placement_group( + {"placement_group": None, "scheduling_strategy": "SPREAD"} + ) + + +class TestUpdateOptions: + def test_simple_update(self): + original = {"num_cpus": 1, "name": "a"} + new = {"num_cpus": 2, "num_gpus": 1} + updated = update_options(original, new) + assert updated == {"num_cpus": 2, "name": "a", "num_gpus": 1} + + def test_metadata_update(self): + original = {"_metadata": {"ns1": {"config1": "val1"}}} + new = {"_metadata": {"ns1": {"config2": "val2"}, "ns2": {"config3": "val3"}}} + updated = update_options(original, new) + expected_metadata = { + "ns1": {"config1": "val1", "config2": "val2"}, + "ns2": {"config3": "val3"}, + } + assert updated["_metadata"] == expected_metadata + + def test_metadata_update_no_original_metadata(self): + original = {"num_cpus": 1} + new = {"_metadata": {"ns1": {"config1": "val1"}}} + updated = update_options(original, new) + assert updated["num_cpus"] == 1 + assert updated["_metadata"] == new["_metadata"] + + def test_metadata_update_no_new_metadata(self): + original = {"_metadata": {"ns1": {"config1": "val1"}}} + new = {"num_cpus": 1} + updated = update_options(original, new) + assert updated["num_cpus"] == 1 + assert updated["_metadata"] == original["_metadata"] + + def test_update_with_empty_new(self): + original = {"num_cpus": 1} + updated = update_options(original, {}) + assert updated == original + + def test_update_empty_original(self): + new = {"num_cpus": 1} + updated = update_options({}, new) + assert updated == new + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/_private/resource_spec.py b/python/ray/_private/resource_spec.py index 0276ff9aded3..4ed6f65d56e7 100644 --- a/python/ray/_private/resource_spec.py +++ b/python/ray/_private/resource_spec.py @@ -5,16 +5,11 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX logger = logging.getLogger(__name__) -# Prefix for the node id resource that is automatically added to each node. -# For example, a node may have id `node:172.23.42.1`. -NODE_ID_PREFIX = "node:" -# The system resource that head node has. -HEAD_NODE_RESOURCE_NAME = NODE_ID_PREFIX + "__internal_head__" - class ResourceSpec( namedtuple( diff --git a/python/ray/_private/state.py b/python/ray/_private/state.py index 4ded93b92ba4..8c17054b5730 100644 --- a/python/ray/_private/state.py +++ b/python/ray/_private/state.py @@ -5,10 +5,10 @@ from typing import Dict, Optional import ray +from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX from ray._common.utils import binary_to_hex, decode, hex_to_binary from ray._private.client_mode_hook import client_mode_hook from ray._private.protobuf_compat import message_to_dict -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX from ray._private.utils import ( validate_actor_state_name, ) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 08e5f33098a1..a0eee45da9da 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -55,8 +55,8 @@ import ray.job_config import ray.remote_function from ray import ActorID, JobID, Language, ObjectRef +from ray._common import ray_option_utils from ray._common.utils import load_class -from ray._private import ray_option_utils from ray._private.client_mode_hook import client_mode_hook from ray._private.function_manager import FunctionActorManager from ray._private.inspect_util import is_cython diff --git a/python/ray/actor.py b/python/ray/actor.py index 0bffad17e5f8..aa5ea5e245a8 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -26,7 +26,7 @@ import ray._common.signature as signature import ray._raylet from ray import ActorClassID, Language, cross_language, ObjectRef -from ray._private import ray_option_utils +from ray._common import ray_option_utils from ray._private.async_compat import has_async_methods from ray._private.auto_init_hook import wrap_auto_init from ray._private.client_mode_hook import ( @@ -39,7 +39,7 @@ is_function_or_method, is_static_method, ) -from ray._private.ray_option_utils import _warn_if_using_deprecated_placement_group +from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.utils import get_runtime_env_info, parse_runtime_env_for_task_or_actor from ray._raylet import ( STREAMING_GENERATOR_RETURN, diff --git a/python/ray/autoscaler/v2/tests/test_e2e.py b/python/ray/autoscaler/v2/tests/test_e2e.py index ca32a289c71f..a9efa0483765 100644 --- a/python/ray/autoscaler/v2/tests/test_e2e.py +++ b/python/ray/autoscaler/v2/tests/test_e2e.py @@ -8,7 +8,7 @@ import ray from ray._common.test_utils import wait_for_condition -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._private.test_utils import run_string_as_driver_nonblocking from ray._private.usage.usage_lib import get_extra_usage_tags_to_report from ray._raylet import GcsClient diff --git a/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py index 63d100f21d58..3c0eb4d78929 100644 --- a/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py @@ -107,7 +107,7 @@ def __init__(self): LLM_BATCH_TELEMETRY_ACTOR_NAME, namespace=LLM_BATCH_TELEMETRY_NAMESPACE ) except ValueError: - from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME + from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy self.remote_telemetry_agent = _TelemetryAgent.options( diff --git a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py index ed9439bfc2af..2ad287a00dbb 100644 --- a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py @@ -190,7 +190,7 @@ def _get_or_create_telemetry_agent() -> TelemetryAgent: LLM_SERVE_TELEMETRY_ACTOR_NAME, namespace=LLM_SERVE_TELEMETRY_NAMESPACE ) except ValueError: - from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME + from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy telemetry_agent = TelemetryAgent.options( diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index 30cbdcd9d71d..37727ab361e5 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -8,13 +8,13 @@ import ray._common.signature from ray import Language, cross_language -from ray._private import ray_option_utils +from ray._common import ray_option_utils from ray._private.auto_init_hook import wrap_auto_init from ray._private.client_mode_hook import ( client_mode_convert_function, client_mode_should_convert, ) -from ray._private.ray_option_utils import _warn_if_using_deprecated_placement_group +from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.serialization import pickle_dumps from ray._private.utils import get_runtime_env_info, parse_runtime_env_for_task_or_actor from ray._raylet import ( diff --git a/python/ray/serve/_private/config.py b/python/ray/serve/_private/config.py index 3293f5557ee4..eb633d6fa12d 100644 --- a/python/ray/serve/_private/config.py +++ b/python/ray/serve/_private/config.py @@ -6,6 +6,7 @@ from google.protobuf.message import Message from ray import cloudpickle +from ray._common import ray_option_utils from ray._common.pydantic_compat import ( BaseModel, Field, @@ -16,7 +17,6 @@ validator, ) from ray._common.utils import resources_from_ray_options -from ray._private import ray_option_utils from ray._private.serialization import pickle_dumps from ray.serve._private.constants import ( DEFAULT_GRACEFUL_SHUTDOWN_TIMEOUT_S, diff --git a/python/ray/serve/_private/default_impl.py b/python/ray/serve/_private/default_impl.py index 118d75a83a54..d6ab8990b414 100644 --- a/python/ray/serve/_private/default_impl.py +++ b/python/ray/serve/_private/default_impl.py @@ -1,7 +1,7 @@ from typing import Callable, Optional, Tuple import ray -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._raylet import GcsClient from ray.serve._private.cluster_node_info_cache import ( ClusterNodeInfoCache, diff --git a/python/ray/serve/_private/utils.py b/python/ray/serve/_private/utils.py index 40499195435c..ea12e4fe931c 100644 --- a/python/ray/serve/_private/utils.py +++ b/python/ray/serve/_private/utils.py @@ -20,8 +20,8 @@ import ray import ray.util.serialization_addons +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._common.utils import get_random_alphanumeric_string, import_attr -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME from ray._private.worker import LOCAL_MODE, SCRIPT_MODE from ray._raylet import MessagePackSerializer from ray.actor import ActorHandle diff --git a/python/ray/serve/tests/test_serve_ha.py b/python/ray/serve/tests/test_serve_ha.py index 862633504776..608b36ae1c33 100644 --- a/python/ray/serve/tests/test_serve_ha.py +++ b/python/ray/serve/tests/test_serve_ha.py @@ -4,8 +4,8 @@ import pytest +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._common.test_utils import wait_for_condition -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME from ray.tests.conftest_docker import * # noqa scripts = """ diff --git a/python/ray/serve/tests/test_util.py b/python/ray/serve/tests/test_util.py index c524c0197387..64e5d288fd04 100644 --- a/python/ray/serve/tests/test_util.py +++ b/python/ray/serve/tests/test_util.py @@ -9,7 +9,7 @@ import ray from ray import serve -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray.serve._private.utils import ( calculate_remaining_timeout, get_all_live_placement_group_names, diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index 27e51b0bc340..a1c230dc847f 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -466,7 +466,7 @@ class A: def test_options(): """General test of option keywords in Ray.""" - from ray._private import ray_option_utils + from ray._common import ray_option_utils def f(): return 1 diff --git a/python/ray/tests/test_basic_5.py b/python/ray/tests/test_basic_5.py index be81e5190733..765bb4d72ee8 100644 --- a/python/ray/tests/test_basic_5.py +++ b/python/ray/tests/test_basic_5.py @@ -17,7 +17,7 @@ wait_for_pid_to_exit, client_test_enabled, ) -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME +from ray._common.constants import HEAD_NODE_RESOURCE_NAME logger = logging.getLogger(__name__) diff --git a/python/ray/tune/utils/resource_updater.py b/python/ray/tune/utils/resource_updater.py index d832683193f3..6f3f87e40ff5 100644 --- a/python/ray/tune/utils/resource_updater.py +++ b/python/ray/tune/utils/resource_updater.py @@ -6,7 +6,7 @@ from typing import Any, Dict, Optional import ray -from ray._private.resource_spec import NODE_ID_PREFIX +from ray._common.constants import NODE_ID_PREFIX logger = logging.getLogger(__name__) diff --git a/python/ray/util/client/api.py b/python/ray/util/client/api.py index 6cbcdfc73794..f9dd185a5e36 100644 --- a/python/ray/util/client/api.py +++ b/python/ray/util/client/api.py @@ -6,7 +6,7 @@ from concurrent.futures import Future from typing import TYPE_CHECKING, Any, Callable, List, Optional, Union -from ray._private import ray_option_utils +from ray._common import ray_option_utils from ray.util.client.runtime_context import _ClientWorkerPropertyAPI if TYPE_CHECKING: diff --git a/python/ray/util/client/options.py b/python/ray/util/client/options.py index e5f8853d6821..57f00109af5d 100644 --- a/python/ray/util/client/options.py +++ b/python/ray/util/client/options.py @@ -2,7 +2,7 @@ from typing import Dict from typing import Optional -from ray._private import ray_option_utils +from ray._common import ray_option_utils from ray.util.placement_group import PlacementGroup, check_placement_group_index from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy From d135037e0c86b885d53be0aaf46e9d4fc3f98852 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 14 Jul 2025 12:43:31 -0700 Subject: [PATCH 0195/1566] [serve] add timeout to test_cancel_on_http_timeout_during_execution (#54594) In `test_cancel_on_http_timeout_during_execution`, we wait for `inner_signal_actor` and `outer_signal_actor` because we expect the cancellation to propagate. However if cancellation doesn't work and the test fails, it doesn't error out and instead hangs forever until pytest/bazel timeout. Add a timeout to the `ray.get` calls so that it will error out and clearly indicate that the test failed. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_request_timeout.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/tests/test_request_timeout.py b/python/ray/serve/tests/test_request_timeout.py index c9c77b07d553..22823ce68016 100644 --- a/python/ray/serve/tests/test_request_timeout.py +++ b/python/ray/serve/tests/test_request_timeout.py @@ -321,8 +321,8 @@ async def __call__(self, request: Request): # Request should time out, causing the handler and handle call to be cancelled. assert httpx.get(get_application_url(use_localhost=True)).status_code == 408 - ray.get(inner_signal_actor.wait.remote()) - ray.get(outer_signal_actor.wait.remote()) + ray.get(inner_signal_actor.wait.remote(), timeout=10) + ray.get(outer_signal_actor.wait.remote(), timeout=10) @pytest.mark.parametrize( From 90be660146ebaec169ca1000a5162e318d1fecd7 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Mon, 14 Jul 2025 13:01:43 -0700 Subject: [PATCH 0196/1566] [batch.llm] Fix mocks for unrun tests (#54588) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../batch/gpu/stages/test_vllm_engine_stage.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py index 9bd2db3835ad..88f91edca432 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py @@ -50,6 +50,16 @@ async def mock_generate(row): mock_instance.generate_async.side_effect = mock_generate + # Configure the scheduler config mock + mock_scheduler_config = MagicMock() + mock_scheduler_config.max_num_seqs = 128 # Current vLLM default + mock_instance.get_scheduler_config.return_value = mock_scheduler_config + + # Configure the engine mock + mock_engine = MagicMock() + mock_engine.do_log_stats = AsyncMock() + mock_instance.engine = mock_engine + # Make the wrapper class return our mock instance mock_wrapper.return_value = mock_instance yield mock_wrapper @@ -112,12 +122,15 @@ async def test_vllm_engine_udf_basic(mock_vllm_wrapper, model_llama_3_2_216M): expected_input_keys=["prompt", "sampling_params"], model=model_llama_3_2_216M, task_type=vLLMTaskType.GENERATE, + batch_size=32, + max_concurrent_batches=4, engine_kwargs={ # Test that this should be overridden by the stage. "model": "random-model", # Test that this should be overridden by the stage. "task": vLLMTaskType.EMBED, "max_num_seqs": 100, + "disable_log_stats": False, }, ) @@ -137,7 +150,7 @@ async def test_vllm_engine_udf_basic(mock_vllm_wrapper, model_llama_3_2_216M): responses = [] async for response in udf(batch): - responses.append(response["__data"][0]) + responses.extend(response["__data"]) assert len(responses) == 2 assert all("batch_uuid" in r for r in responses) @@ -157,6 +170,7 @@ async def test_vllm_engine_udf_basic(mock_vllm_wrapper, model_llama_3_2_216M): task=vLLMTaskType.GENERATE, max_num_seqs=100, dynamic_lora_loading_path=None, + disable_log_requests=True, ) From 717710e4d02d77fe2c744e1c00473aa5be411947 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 14 Jul 2025 16:32:52 -0400 Subject: [PATCH 0197/1566] [core] Normal task submitter cleanup (#54206) ## Why are these changes needed? Cleaning up multiple things in the normal task submitter 1. Making the cancel_retry_timer not optional. It was only not passed in in tests. 2. Couple unnecessary copies of resources and addresses 3. Unnecessary LeaseEntry constructor 4. Most of the normal task submitter tests had the same setup. Putting it behind a fixture and a create function that removes most of the necessary boilerplate. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../test/normal_task_submitter_test.cc | 873 ++++-------------- .../transport/normal_task_submitter.cc | 40 +- .../transport/normal_task_submitter.h | 35 +- 3 files changed, 197 insertions(+), 751 deletions(-) diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index 5b90eccfe69f..cbc05d7ee614 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -36,10 +36,6 @@ namespace ray { namespace core { namespace { -std::shared_ptr kOneRateLimiter = - std::make_shared(1); -std::shared_ptr kTwoRateLimiter = - std::make_shared(2); class DynamicRateLimiter : public LeaseRequestRateLimiter { public: @@ -440,8 +436,7 @@ class MockActorCreator : public ActorCreatorInterface { class MockLeasePolicy : public LeasePolicyInterface { public: - explicit MockLeasePolicy(const NodeID &node_id = NodeID::Nil()) { - fallback_rpc_address_ = rpc::Address(); + void SetNodeID(NodeID node_id) { fallback_rpc_address_.set_raylet_id(node_id.Binary()); } @@ -450,8 +445,6 @@ class MockLeasePolicy : public LeasePolicyInterface { return std::make_pair(fallback_rpc_address_, is_locality_aware); }; - ~MockLeasePolicy() {} - rpc::Address fallback_rpc_address_; int num_lease_policy_consults = 0; @@ -472,33 +465,65 @@ TaskSpecification WithRandomTaskId(const TaskSpecification &task_spec) { return TaskSpecification(std::move(copied_proto)); } -TEST(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { +class NormalTaskSubmitterTest : public testing::Test { + public: + NormalTaskSubmitterTest() + : raylet_client(std::make_shared()), + worker_client(std::make_shared()), + store(DefaultCoreWorkerMemoryStoreWithThread::CreateShared()), + client_pool(std::make_shared( + [&](const rpc::Address &addr) { return worker_client; })), + task_manager(std::make_unique()), + actor_creator(std::make_shared()), + lease_policy(std::make_unique()), + lease_policy_ptr(lease_policy.get()) {} + + NormalTaskSubmitter CreateNormalTaskSubmitter( + std::shared_ptr rate_limiter, + WorkerType worker_type = WorkerType::WORKER, + LeaseClientFactoryFn lease_client_factory = nullptr, + std::shared_ptr custom_memory_store = nullptr, + int64_t lease_timeout_ms = kLongTimeout, + NodeID local_raylet_id = NodeID::Nil()) { + if (custom_memory_store != nullptr) { + store = custom_memory_store; + } + return NormalTaskSubmitter( + address, + raylet_client, + client_pool, + lease_client_factory, + std::move(lease_policy), + store, + *task_manager, + local_raylet_id, + worker_type, + lease_timeout_ms, + actor_creator, + JobID::Nil(), + rate_limiter, + [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, + boost::asio::steady_timer(io_context)); + } + rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - lease_policy->is_locality_aware = true; - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + std::shared_ptr raylet_client; + std::shared_ptr worker_client; + std::shared_ptr store; + std::shared_ptr client_pool; + std::unique_ptr task_manager; + std::shared_ptr actor_creator; + // Note: Use lease_policy_ptr in tests, not lease_policy since it has to be moved into + // the submitter. + std::unique_ptr lease_policy; + MockLeasePolicy *lease_policy_ptr = nullptr; + instrumented_io_context io_context; +}; + +TEST_F(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); + lease_policy_ptr->is_locality_aware = true; TaskSpecification task = BuildEmptyTaskSpec(); @@ -528,33 +553,9 @@ TEST(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestSubmitOneTask) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestSubmitOneTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -583,31 +584,9 @@ TEST(NormalTaskSubmitterTest, TestSubmitOneTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); task.GetMutableMessage().set_retry_exceptions(true); @@ -642,31 +621,9 @@ TEST(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestHandleTaskFailure) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -687,33 +644,9 @@ TEST(NormalTaskSubmitterTest, TestHandleTaskFailure) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kTwoRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(2)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -760,32 +693,9 @@ TEST(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kTwoRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(2)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); @@ -833,63 +743,18 @@ TEST(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestWorkerHandleLocalRayletDied) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kTwoRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestWorkerHandleLocalRayletDied) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(2)); TaskSpecification task1 = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task1).ok()); ASSERT_DEATH(raylet_client->FailWorkerLeaseDueToGrpcUnavailable(), ""); } -TEST(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::DRIVER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kTwoRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { + auto submitter = CreateNormalTaskSubmitter( + std::make_shared(2), WorkerType::DRIVER); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); @@ -921,35 +786,10 @@ TEST(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - +TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { int64_t concurrency = 10; auto rateLimiter = std::make_shared(concurrency); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - rateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + auto submitter = CreateNormalTaskSubmitter(rateLimiter); std::vector tasks; for (int i = 0; i < 2 * concurrency; i++) { @@ -1002,35 +842,10 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - +TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { int64_t concurrency = 10; auto rateLimiter = std::make_shared(1); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - rateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + auto submitter = CreateNormalTaskSubmitter(rateLimiter); std::vector tasks; for (int i = 0; i < 2 * concurrency; i++) { @@ -1109,38 +924,13 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_client_factory = [&](const std::string &ip, int port) { - return raylet_client; - }; - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - +TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { int64_t concurrency = 10; auto rateLimiter = std::make_shared(1); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - lease_client_factory, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), + auto submitter = CreateNormalTaskSubmitter( rateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + WorkerType::WORKER, + /*lease_client_factory*/ [&](const std::string &, int) { return raylet_client; }); std::vector tasks; for (int i = 0; i < 2 * concurrency; i++) { @@ -1222,33 +1012,9 @@ TEST(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -1297,33 +1063,9 @@ TEST(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestReuseWorkerLease) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestReuseWorkerLease) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -1373,31 +1115,9 @@ TEST(NormalTaskSubmitterTest, TestReuseWorkerLease) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -1431,43 +1151,21 @@ TEST(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); ASSERT_EQ(raylet_client->num_leases_canceled, i); ASSERT_TRUE(raylet_client->GrantWorkerLease("", 0, NodeID::Nil(), /*cancel=*/true)); - ASSERT_EQ(worker_client->callbacks.size(), 0); - // The canceled lease is not returned. - ASSERT_EQ(raylet_client->num_workers_returned, 1); - ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(task_manager->num_tasks_complete, 3); - ASSERT_EQ(task_manager->num_tasks_failed, 0); - - // Check that there are no entries left in the scheduling_key_entries_ hashmap. These - // would otherwise cause a memory leak. - ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); -} - -TEST(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + ASSERT_EQ(worker_client->callbacks.size(), 0); + // The canceled lease is not returned. + ASSERT_EQ(raylet_client->num_workers_returned, 1); + ASSERT_EQ(raylet_client->num_workers_disconnected, 0); + ASSERT_EQ(task_manager->num_tasks_complete, 3); + ASSERT_EQ(task_manager->num_tasks_failed, 0); + + // Check that there are no entries left in the scheduling_key_entries_ hashmap. These + // would otherwise cause a memory leak. + ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); +} + +TEST_F(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -1510,31 +1208,9 @@ TEST(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); @@ -1568,31 +1244,9 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task1).ok()); @@ -1617,41 +1271,19 @@ TEST(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestSpillback) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - +TEST_F(NormalTaskSubmitterTest, TestSpillback) { absl::flat_hash_map> remote_lease_clients; - auto lease_client_factory = [&](const std::string &ip, int port) { - // We should not create a connection to the same raylet more than once. + LeaseClientFactoryFn lease_client_factory = [&remote_lease_clients]( + const std::string &ip, int port) { RAY_CHECK(remote_lease_clients.count(port) == 0); auto client = std::make_shared(); remote_lease_clients[port] = client; return client; }; - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - lease_client_factory, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1), + WorkerType::WORKER, + lease_client_factory); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -1693,14 +1325,7 @@ TEST(NormalTaskSubmitterTest, TestSpillback) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - +TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { absl::flat_hash_map> remote_lease_clients; auto lease_client_factory = [&](const std::string &ip, int port) { // We should not create a connection to the same raylet more than once. @@ -1709,26 +1334,16 @@ TEST(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { remote_lease_clients[port] = client; return client; }; - auto task_manager = std::make_unique(); auto local_raylet_id = NodeID::FromRandom(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(local_raylet_id); - auto *lease_policy_ptr = lease_policy.get(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - lease_client_factory, - std::move(lease_policy), - store, - *task_manager, - local_raylet_id, - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + lease_policy_ptr->SetNodeID(local_raylet_id); + auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1), + WorkerType::WORKER, + lease_client_factory, + store, + kLongTimeout, + local_raylet_id); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -1794,6 +1409,7 @@ void TestSchedulingKey(const std::shared_ptr store, auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); + instrumented_io_context io_context; NormalTaskSubmitter submitter( address, raylet_client, @@ -1807,8 +1423,9 @@ void TestSchedulingKey(const std::shared_ptr store, kLongTimeout, actor_creator, JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + std::make_shared(1), + [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, + boost::asio::steady_timer(io_context)); ASSERT_TRUE(submitter.SubmitTask(same1).ok()); ASSERT_TRUE(submitter.SubmitTask(same2).ok()); @@ -1860,7 +1477,7 @@ void TestSchedulingKey(const std::shared_ptr store, ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestSchedulingKeys) { +TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { InstrumentedIOContextWithThread io_context("TestSchedulingKeys"); auto store = std::make_shared(io_context.GetIoService()); @@ -1943,32 +1560,14 @@ TEST(NormalTaskSubmitterTest, TestSchedulingKeys) { TestSchedulingKey(store, same_deps_1, same_deps_2, different_deps); } -TEST(NormalTaskSubmitterTest, TestBacklogReport) { - InstrumentedIOContextWithThread io_context("TestBacklogReport"); - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = std::make_shared(io_context.GetIoService()); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { + InstrumentedIOContextWithThread store_io_context("TestBacklogReport"); + auto store = std::make_shared(store_io_context.GetIoService()); + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1), + WorkerType::WORKER, + /*lease_client_factory=*/nullptr, + store); TaskSpecification task1 = BuildEmptyTaskSpec(); @@ -2011,7 +1610,7 @@ TEST(NormalTaskSubmitterTest, TestBacklogReport) { // Waits for the async callbacks in submitter.SubmitTask to finish, before we call // ReportWorkerBacklog. std::promise wait_for_io_ctx_empty; - io_context.GetIoService().post( + store_io_context.GetIoService().post( [&wait_for_io_ctx_empty]() { wait_for_io_ctx_empty.set_value(true); }, "wait_for_io_ctx_empty"); wait_for_io_ctx_empty.get_future().get(); @@ -2023,31 +1622,14 @@ TEST(NormalTaskSubmitterTest, TestBacklogReport) { ASSERT_EQ(raylet_client->reported_backlogs[task4.GetSchedulingClass()], 1); } -TEST(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); +TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - /*lease_timeout_ms=*/5, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1), + WorkerType::WORKER, + /*lease_client_factory=*/nullptr, + store, + /*lease_timeout_ms=*/5); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); @@ -2091,32 +1673,9 @@ TEST(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -2154,31 +1713,9 @@ TEST(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestKillPendingTask) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestKillPendingTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -2201,31 +1738,9 @@ TEST(NormalTaskSubmitterTest, TestKillPendingTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); +TEST_F(NormalTaskSubmitterTest, TestKillResolvingTask) { + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ObjectID obj1 = ObjectID::FromRandom(); task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); @@ -2247,33 +1762,10 @@ TEST(NormalTaskSubmitterTest, TestKillResolvingTask) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } -TEST(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { // Executing generator -> Resubmit queued -> execution finishes -> resubmit happens. + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); @@ -2284,34 +1776,11 @@ TEST(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { ASSERT_EQ(task_manager->num_generator_failed_and_resubmitted, 1); } -TEST(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { - rpc::Address address; - auto raylet_client = std::make_shared(); - auto worker_client = std::make_shared(); - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); - auto client_pool = std::make_shared( - [&](const rpc::Address &addr) { return worker_client; }); - auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); - auto lease_policy = std::make_unique(); - NormalTaskSubmitter submitter( - address, - raylet_client, - client_pool, - nullptr, - std::move(lease_policy), - store, - *task_manager, - NodeID::Nil(), - WorkerType::WORKER, - kLongTimeout, - actor_creator, - JobID::Nil(), - kOneRateLimiter, - [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }); - +TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) { // Cancel -> failed queue generator for resubmit -> cancel reply -> successful queue for // resubmit -> push task reply -> honor the cancel not the queued resubmit. + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 55d17c674a70..0294456783bd 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -94,8 +94,8 @@ void NormalTaskSubmitter::AddWorkerLeaseClient( const TaskID &task_id) { core_worker_client_pool_->GetOrConnect(addr); int64_t expiration = current_time_ms() + lease_timeout_ms_; - LeaseEntry new_lease_entry = LeaseEntry( - std::move(lease_client), expiration, assigned_resources, scheduling_key, task_id); + LeaseEntry new_lease_entry{ + std::move(lease_client), expiration, assigned_resources, scheduling_key, task_id}; worker_to_lease_entry_.emplace(addr, new_lease_entry); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -103,7 +103,7 @@ void NormalTaskSubmitter::AddWorkerLeaseClient( RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); } -void NormalTaskSubmitter::ReturnWorker(const rpc::Address addr, +void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, bool was_error, const std::string &error_detail, bool worker_exiting, @@ -433,20 +433,18 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << " with worker " << WorkerID::FromBinary(reply.worker_address().worker_id()); - auto resources_copy = reply.resource_mapping(); - AddWorkerLeaseClient(reply.worker_address(), std::move(lease_client), - resources_copy, + reply.resource_mapping(), scheduling_key, task_id); RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); OnWorkerIdle(reply.worker_address(), scheduling_key, - /*error=*/false, + /*was_error=*/false, /*error_detail*/ "", /*worker_exiting=*/false, - resources_copy); + reply.resource_mapping()); } else { // The raylet redirected us to a different raylet to retry at. RAY_CHECK(!is_spillback); @@ -620,7 +618,7 @@ void NormalTaskSubmitter::PushNormalTask( // Successful actor creation leases the worker indefinitely from the raylet. OnWorkerIdle(addr, scheduling_key, - /*error=*/was_error, + /*was_error=*/was_error, /*error_detail*/ status.message(), /*worker_exiting=*/is_worker_exiting, assigned_resources); @@ -791,22 +789,16 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, if (!reply.attempt_succeeded()) { if (reply.requested_task_running()) { // Retry cancel request if failed. - if (cancel_retry_timer_.has_value()) { - if (cancel_retry_timer_->expiry().time_since_epoch() <= - std::chrono::high_resolution_clock::now().time_since_epoch()) { - cancel_retry_timer_->expires_after(boost::asio::chrono::milliseconds( - RayConfig::instance().cancellation_retry_ms())); - } - cancel_retry_timer_->async_wait( - boost::bind(&NormalTaskSubmitter::CancelTask, - this, - std::move(task_spec), - force_kill, - recursive)); - } else { - RAY_LOG(DEBUG) - << "Failed to cancel a task which is running. Stop retrying."; + if (cancel_retry_timer_.expiry().time_since_epoch() <= + std::chrono::high_resolution_clock::now().time_since_epoch()) { + cancel_retry_timer_.expires_after(boost::asio::chrono::milliseconds( + RayConfig::instance().cancellation_retry_ms())); } + cancel_retry_timer_.async_wait(boost::bind(&NormalTaskSubmitter::CancelTask, + this, + std::move(task_spec), + force_kill, + recursive)); } else { RAY_LOG(DEBUG) << "Attempt to cancel task " << task_spec.TaskId() << " in a worker that doesn't have this task."; diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index 317315d58cb1..e544cfd1f990 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -93,7 +93,7 @@ class NormalTaskSubmitter { const JobID &job_id, std::shared_ptr lease_request_rate_limiter, const TensorTransportGetter &tensor_transport_getter, - std::optional cancel_timer = absl::nullopt) + boost::asio::steady_timer cancel_timer) : rpc_address_(std::move(rpc_address)), local_lease_client_(std::move(lease_client)), lease_client_factory_(std::move(lease_client_factory)), @@ -218,7 +218,7 @@ class NormalTaskSubmitter { /// \param[in] error_detail The reason why it was errored. /// it is unused if was_error is false. /// \param[in] worker_exiting Whether the worker is exiting. - void ReturnWorker(const rpc::Address addr, + void ReturnWorker(const rpc::Address &addr, bool was_error, const std::string &error_detail, bool worker_exiting, @@ -298,24 +298,10 @@ class NormalTaskSubmitter { struct LeaseEntry { std::shared_ptr lease_client; int64_t lease_expiration_time; - bool is_busy = false; google::protobuf::RepeatedPtrField assigned_resources; SchedulingKey scheduling_key; TaskID task_id; - - LeaseEntry( - std::shared_ptr lease_client_p = nullptr, - int64_t lease_expiration_time_p = 0, - google::protobuf::RepeatedPtrField assigned_resources_p = - google::protobuf::RepeatedPtrField(), - SchedulingKey scheduling_key_p = - std::make_tuple(0, std::vector(), ActorID::Nil(), 0), - TaskID task_id_p = TaskID::Nil()) - : lease_client(std::move(lease_client_p)), - lease_expiration_time(lease_expiration_time_p), - assigned_resources(std::move(assigned_resources_p)), - scheduling_key(std::move(scheduling_key_p)), - task_id(std::move(task_id_p)) {} + bool is_busy = false; }; // Map from worker address to a LeaseEntry struct containing the lease's metadata. @@ -325,21 +311,20 @@ class NormalTaskSubmitter { struct SchedulingKeyEntry { // Keep track of pending worker lease requests to the raylet. absl::flat_hash_map pending_lease_requests; - TaskSpecification resource_spec = TaskSpecification(); + TaskSpecification resource_spec; // Tasks that are queued for execution. We keep an individual queue per // scheduling class to ensure fairness. - std::deque task_queue = std::deque(); + std::deque task_queue; // Keep track of the active workers, so that we can quickly check if one of them has // room for more tasks in flight - absl::flat_hash_set active_workers = - absl::flat_hash_set(); + absl::flat_hash_set active_workers; // Keep track of how many workers have tasks to do. uint32_t num_busy_workers = 0; int64_t last_reported_backlog_size = 0; // Check whether it's safe to delete this SchedulingKeyEntry from the // scheduling_key_entries_ hashmap. - inline bool CanDelete() const { + bool CanDelete() const { if (pending_lease_requests.empty() && task_queue.empty() && active_workers.size() == 0 && num_busy_workers == 0) { return true; @@ -349,13 +334,13 @@ class NormalTaskSubmitter { } // Check whether all workers are busy. - inline bool AllWorkersBusy() const { + bool AllWorkersBusy() const { RAY_CHECK_LE(num_busy_workers, active_workers.size()); return num_busy_workers == active_workers.size(); } // Get the current backlog size for this scheduling key - [[nodiscard]] inline int64_t BacklogSize() const { + int64_t BacklogSize() const { if (task_queue.size() < pending_lease_requests.size()) { // This can happen if worker is reused. return 0; @@ -385,7 +370,7 @@ class NormalTaskSubmitter { std::shared_ptr lease_request_rate_limiter_; // Retries cancelation requests if they were not successful. - std::optional cancel_retry_timer_ ABSL_GUARDED_BY(mu_); + boost::asio::steady_timer cancel_retry_timer_ ABSL_GUARDED_BY(mu_); std::atomic num_tasks_submitted_ = 0; int64_t num_leases_requested_ ABSL_GUARDED_BY(mu_) = 0; From aaef14c193da79865ecd0a0313c7f667c1d438b6 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 14 Jul 2025 14:19:26 -0700 Subject: [PATCH 0198/1566] [serve] improve observability for flaky test (#54599) `test_reconfigure_does_not_run_while_there_are_active_queries` is flaky. improve observability of test so we can deflake later. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/tests/test_deploy.py b/python/ray/serve/tests/test_deploy.py index acf2d0de8334..9f50c1ccee7e 100644 --- a/python/ray/serve/tests/test_deploy.py +++ b/python/ray/serve/tests/test_deploy.py @@ -388,10 +388,12 @@ async def __call__(self): handle = serve.run(A.options(version="1", user_config={"a": 1}).bind()) responses = [handle.remote() for _ in range(10)] + def check(): + assert ray.get(signal.cur_num_waiters.remote()) == len(responses) + return True + # Give the queries time to get to the replicas before the reconfigure. - wait_for_condition( - lambda: ray.get(signal.cur_num_waiters.remote()) == len(responses) - ) + wait_for_condition(check) @ray.remote(num_cpus=0) def reconfigure(): From c43ddb3bdc542fb8f4a971e0a77e80747703be44 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 14 Jul 2025 15:10:29 -0700 Subject: [PATCH 0199/1566] Address the case where min_rows_per_group exceeds arrow's default for write_dataset (#54592) ## Why are these changes needed? When `min_rows_per_group` exceeds arrow's default of 1024*1024 and `max_rows_per_group` remains null, pyarrow returns an error stating that `pyarrow.lib.ArrowInvalid: min_rows_per_group must be less than or equal to max_rows_per_group`. In this change we cap `max_rows_per_group` to `min_rows_per_group` in this scenario. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- .../_internal/datasource/parquet_datasink.py | 24 ++++- python/ray/data/tests/test_parquet.py | 93 +++++++++++++++++-- 2 files changed, 110 insertions(+), 7 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasink.py b/python/ray/data/_internal/datasource/parquet_datasink.py index d0f5b65727b4..300a7c410023 100644 --- a/python/ray/data/_internal/datasource/parquet_datasink.py +++ b/python/ray/data/_internal/datasource/parquet_datasink.py @@ -33,6 +33,9 @@ # and are not supported by ParquetDatasink. UNSUPPORTED_OPEN_STREAM_ARGS = {"path", "buffer", "metadata"} +# https://arrow.apache.org/docs/python/generated/pyarrow.dataset.write_dataset.html +ARROW_DEFAULT_MAX_ROWS_PER_GROUP = 1024 * 1024 + logger = logging.getLogger(__name__) @@ -60,7 +63,26 @@ def choose_row_group_limits( # No explicit row group size provided. We are defaulting to # either the caller's min_rows_per_file or max_rows_per_file limits # or Arrow's defaults - return min_rows_per_file, max_rows_per_file, max_rows_per_file + min_rows_per_group, max_rows_per_group, max_rows_per_file = ( + min_rows_per_file, + max_rows_per_file, + max_rows_per_file, + ) + + # If min_rows_per_group is provided and max_rows_per_group is not, + # and min_rows_per_group is greater than Arrow's default max_rows_per_group, + # we set max_rows_per_group to min_rows_per_group to avoid creating too many row groups. + if ( + min_rows_per_group is not None + and max_rows_per_group is None + and min_rows_per_group > ARROW_DEFAULT_MAX_ROWS_PER_GROUP + ): + max_rows_per_group, max_rows_per_file = ( + min_rows_per_group, + min_rows_per_group, + ) + + return min_rows_per_group, max_rows_per_group, max_rows_per_file elif row_group_size is not None and ( min_rows_per_file is None or max_rows_per_file is None diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index cd27427b9f59..148523f7aef8 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -1910,12 +1910,62 @@ class RowGroupLimitCase: ROW_GROUP_LIMIT_CASES = [ - RowGroupLimitCase(None, None, None, None, None, None), - RowGroupLimitCase(1000, None, None, 1000, 1000, None), - RowGroupLimitCase(None, 500, None, 500, None, None), - RowGroupLimitCase(None, None, 2000, None, 2000, 2000), - RowGroupLimitCase(1000, 500, 2000, 1000, 1000, 2000), - RowGroupLimitCase(3000, 500, 2000, 2000, 2000, 2000), + RowGroupLimitCase( + row_group_size=None, + min_rows_per_file=None, + max_rows_per_file=None, + expected_min=None, + expected_max=None, + expected_max_file=None, + ), + RowGroupLimitCase( + row_group_size=1000, + min_rows_per_file=None, + max_rows_per_file=None, + expected_min=1000, + expected_max=1000, + expected_max_file=None, + ), + RowGroupLimitCase( + row_group_size=None, + min_rows_per_file=500, + max_rows_per_file=None, + expected_min=500, + expected_max=None, + expected_max_file=None, + ), + RowGroupLimitCase( + row_group_size=None, + min_rows_per_file=None, + max_rows_per_file=2000, + expected_min=None, + expected_max=2000, + expected_max_file=2000, + ), + RowGroupLimitCase( + row_group_size=1000, + min_rows_per_file=500, + max_rows_per_file=2000, + expected_min=1000, + expected_max=1000, + expected_max_file=2000, + ), + RowGroupLimitCase( + row_group_size=3000, + min_rows_per_file=500, + max_rows_per_file=2000, + expected_min=2000, + expected_max=2000, + expected_max_file=2000, + ), + RowGroupLimitCase( + row_group_size=None, + min_rows_per_file=2000000, # Greater than 1024 * 1024 (1048576) + max_rows_per_file=None, + expected_min=2000000, + expected_max=2000000, + expected_max_file=2000000, + ), ] @@ -1943,6 +1993,37 @@ def test_choose_row_group_limits_parameterized(case): assert min_rows <= max_rows +def test_write_parquet_large_min_rows_per_file_exceeds_arrow_default( + tmp_path, ray_start_regular_shared +): + from ray.data._internal.datasource.parquet_datasink import ( + ARROW_DEFAULT_MAX_ROWS_PER_GROUP, + ) + + """Test that min_rows_per_file > ARROW_DEFAULT_MAX_ROWS_PER_GROUP triggers max_rows_per_group setting.""" + # ARROW_DEFAULT_MAX_ROWS_PER_GROUP = 1024 * 1024 = 1048576 + # We'll use a min_rows_per_file that exceeds this threshold + min_rows_per_file = ( + 2 * ARROW_DEFAULT_MAX_ROWS_PER_GROUP + ) # 2097152, which is > 1048576 + + # Create a dataset with the required number of rows + ds = ray.data.range(min_rows_per_file, override_num_blocks=1) + + # Write with min_rows_per_file > ARROW_DEFAULT_MAX_ROWS_PER_GROUP + # This should trigger the condition where max_rows_per_group and max_rows_per_file + # are set to min_rows_per_group (which comes from min_rows_per_file) + ds.write_parquet(tmp_path, min_rows_per_file=min_rows_per_file) + + # Verify that the parquet files were written correctly + written_files = [f for f in os.listdir(tmp_path) if f.endswith(".parquet")] + assert len(written_files) == 1 + + # Read back the data to verify correctness + ds_read = ray.data.read_parquet(tmp_path) + assert ds_read.count() == min_rows_per_file + + if __name__ == "__main__": import sys From 9e70bcdd6fe054a9576ba7dfb93b5630ec705b0a Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Mon, 14 Jul 2025 16:14:52 -0700 Subject: [PATCH 0200/1566] [air] fix `test_wandb_logging_actor_fault_tolerance` (#54572) Fixes this flaky unit test by making the following changes: 1. Fix `queue.put` call to use correct tuple format `(_QueueItem.END, None)` . 2. Add blocking `ray.get` call to ensure test assertions run after actor finishes. Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- python/ray/air/tests/test_integration_wandb.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/air/tests/test_integration_wandb.py b/python/ray/air/tests/test_integration_wandb.py index 3c5c8404c7f8..04228162d2fd 100644 --- a/python/ray/air/tests/test_integration_wandb.py +++ b/python/ray/air/tests/test_integration_wandb.py @@ -491,7 +491,10 @@ def _handle_result(self, result): logger.log_trial_result(4, trial, result={"training_iteration": 4}) logger.log_trial_result(5, trial, result={"training_iteration": 5}) - queue.put(_QueueItem.END) + queue.put((_QueueItem.END, None)) + + # Wait for the actor's run method to complete + ray.get(logger._trial_logging_futures[trial]) state = ray.get(actor.get_state.remote()) assert [metrics["training_iteration"] for metrics in state.logs] == [4, 5] From e63448143f964b2ed46d11cb8873b040b98572aa Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Mon, 14 Jul 2025 16:40:21 -0700 Subject: [PATCH 0201/1566] [Serve] Update HEALTHY_MESSAGE constant location (#54606) Moves the HEALTHY_MESSAGE constant from `python/ray/serve/_private/proxy.py` to `python/ray/serve/_private/constants.py`. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 3 +++ python/ray/serve/_private/proxy.py | 2 +- python/ray/serve/tests/unit/test_proxy.py | 2 +- 3 files changed, 5 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 8edcc38e04f3..b0cf144cbf57 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -470,3 +470,6 @@ def str_to_list(s: str) -> List[str]: RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = int( os.environ.get("RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE", "1") ) + +# The message to return when the replica is healthy. +HEALTHY_MESSAGE = "success" diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index d99d8b28577f..25c5393950f9 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -25,6 +25,7 @@ RequestProtocol, ) from ray.serve._private.constants import ( + HEALTHY_MESSAGE, PROXY_MIN_DRAINING_PERIOD_S, RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS, RAY_SERVE_PROXY_GC_THRESHOLD, @@ -104,7 +105,6 @@ INITIAL_BACKOFF_PERIOD_SEC = 0.05 MAX_BACKOFF_PERIOD_SEC = 5 -HEALTHY_MESSAGE = "success" DRAINING_MESSAGE = "This node is being drained." diff --git a/python/ray/serve/tests/unit/test_proxy.py b/python/ray/serve/tests/unit/test_proxy.py index b348acb4c0db..3e335b324ca6 100644 --- a/python/ray/serve/tests/unit/test_proxy.py +++ b/python/ray/serve/tests/unit/test_proxy.py @@ -8,9 +8,9 @@ import pytest from ray.serve._private.common import DeploymentID, EndpointInfo, RequestMetadata +from ray.serve._private.constants import HEALTHY_MESSAGE from ray.serve._private.proxy import ( DRAINING_MESSAGE, - HEALTHY_MESSAGE, HTTPProxy, ResponseGenerator, ResponseStatus, From ccc73f949fe08365ca9dbdd821c0d448dc4a11bc Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 14 Jul 2025 22:13:13 -0700 Subject: [PATCH 0202/1566] [ci] raydepsets: adding config dataclass and config loading (#54394) Added Config dataclass to process depset.config.yaml Added Depset dataclass for each operation Added unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/.env | 0 ci/raydepsets/BUILD.bazel | 9 +++- ci/raydepsets/cli.py | 32 +++++++++-- ci/raydepsets/depset.config.yaml | 15 ++++++ ci/raydepsets/raydepsets.py | 3 +- ci/raydepsets/test_cli.py | 67 ++++++++++++++++++++++-- ci/raydepsets/test_data/test.config.yaml | 13 +++++ ci/raydepsets/workspace.py | 48 +++++++++++++++++ 8 files changed, 176 insertions(+), 11 deletions(-) create mode 100644 ci/raydepsets/.env create mode 100644 ci/raydepsets/depset.config.yaml create mode 100644 ci/raydepsets/test_data/test.config.yaml create mode 100644 ci/raydepsets/workspace.py diff --git a/ci/raydepsets/.env b/ci/raydepsets/.env new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 68e67fd25a8b..3e8d086bb4fe 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -5,9 +5,13 @@ py_library( name = "raydepsets_lib", srcs = [ "cli.py", + "workspace.py", ], + data = ["@uv_x86_64//:file"], deps = [ + ci_require("bazel-runfiles"), ci_require("click"), + ci_require("pyyaml"), ], ) @@ -21,14 +25,15 @@ py_binary( py_test( name = "test_cli", srcs = ["test_cli.py"], - data = ["@uv_x86_64//:file"], + data = [ + "test_data/test.config.yaml", + ], exec_compatible_with = ["//:hermetic_python"], tags = [ "ci_unit", "team:ci", ], deps = [ - ci_require("bazel-runfiles"), ci_require("pytest"), ":raydepsets_lib", ], diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index e574f9c26fd2..8b7209974e19 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,8 +1,32 @@ import click +from pathlib import Path +from ci.raydepsets.workspace import Workspace, Depset -@click.group(name="depsets") -@click.pass_context -def cli(ctx): +@click.group(name="raydepsets") +def cli(): """Manage Python dependency sets.""" - pass + + +@cli.command() +@click.argument("config_path", default="ci/raydepsets/depset.config.yaml") +@click.option("--workspace-dir", default=None) +def load(config_path: str, workspace_dir: str): + """Load a dependency sets from a config file.""" + DependencySetManager(config_path=config_path, workspace_dir=workspace_dir) + + +class DependencySetManager: + def __init__( + self, + config_path: Path = Path(__file__).parent / "depset.config.yaml", + workspace_dir: str = None, + ): + self.workspace = Workspace(workspace_dir) + self.config = self.workspace.load_config(config_path) + + def get_depset(self, name: str) -> Depset: + for depset in self.config.depsets: + if depset.name == name: + return depset + raise KeyError(f"Dependency set {name} not found") diff --git a/ci/raydepsets/depset.config.yaml b/ci/raydepsets/depset.config.yaml new file mode 100644 index 000000000000..fe8d1fce7d5c --- /dev/null +++ b/ci/raydepsets/depset.config.yaml @@ -0,0 +1,15 @@ +depsets: + - name: ray_base_test_depset + requirements: + - python/requirements.txt + - python/requirements/cloud-requirements.txt + - python/requirements/base-test-requirements.txt + constraints: + - python/requirements_compiled_ray_test_py311_cpu.txt + output: python/requirements_compiled_ray_test_py311_cpu.txt + operation: compile + - name: general_depset + operation: compile + requirements: + - python/requirements.txt + output: python/test/requirements_compiled_general_py311_cpu.txt diff --git a/ci/raydepsets/raydepsets.py b/ci/raydepsets/raydepsets.py index 96fe15631f36..71b9d7b6d3d1 100644 --- a/ci/raydepsets/raydepsets.py +++ b/ci/raydepsets/raydepsets.py @@ -1,5 +1,4 @@ -#!/usr/bin/env python3 -from cli import cli +from ci.raydepsets.cli import cli if __name__ == "__main__": cli() diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 377e3440b65b..74e5bad750f4 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -1,15 +1,68 @@ import pytest -import subprocess -import runfiles -import platform import sys import unittest +import tempfile +import runfiles +import subprocess +import platform +import shutil +from ci.raydepsets.cli import load, DependencySetManager +from ci.raydepsets.workspace import Workspace +from click.testing import CliRunner _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() class TestCli(unittest.TestCase): + def test_workspace_init(self): + with tempfile.TemporaryDirectory() as tmpdir: + workspace = Workspace(tmpdir) + assert workspace.dir is not None + + def test_cli_load_fail_no_config(self): + result = CliRunner().invoke( + load, + [ + "fake_path/test.config.yaml", + "--workspace-dir", + "/ci/raydepsets/test_data", + ], + ) + assert result.exit_code == 1 + assert isinstance(result.exception, FileNotFoundError) + assert "No such file or directory" in str(result.exception) + + def test_dependency_set_manager_init(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + assert manager is not None + assert manager.workspace.dir == tmpdir + assert manager.config.depsets[0].name == "ray_base_test_depset" + assert manager.config.depsets[0].operation == "compile" + assert manager.config.depsets[0].requirements == ["python/requirements.txt"] + assert manager.config.depsets[0].constraints == [ + "python/requirements_compiled_ray_test_py311_cpu.txt" + ] + assert ( + manager.config.depsets[0].output + == "tests/requirements_compiled_test.txt" + ) + + def test_dependency_set_manager_get_depset(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + with self.assertRaises(KeyError): + manager.get_depset("fake_depset") + def test_uv_binary_exists(self): assert _uv_binary() is not None @@ -33,5 +86,13 @@ def _uv_binary(): return _runfiles.Rlocation("uv_x86_64/uv-x86_64-unknown-linux-gnu/uv") +def _copy_data_to_tmpdir(tmpdir): + shutil.copytree( + _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/test_data"), + tmpdir, + dirs_exist_ok=True, + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/test_data/test.config.yaml b/ci/raydepsets/test_data/test.config.yaml new file mode 100644 index 000000000000..d6d35525ba19 --- /dev/null +++ b/ci/raydepsets/test_data/test.config.yaml @@ -0,0 +1,13 @@ +depsets: + - name: ray_base_test_depset + requirements: + - python/requirements.txt + constraints: + - python/requirements_compiled_ray_test_py311_cpu.txt + output: tests/requirements_compiled_test.txt + operation: compile + - name: general_depset + operation: compile + requirements: + - python/requirements.txt + output: python/test/requirements_compiled_general_py311_cpu.txt diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py new file mode 100644 index 000000000000..986c9d940f48 --- /dev/null +++ b/ci/raydepsets/workspace.py @@ -0,0 +1,48 @@ +import yaml +from dataclasses import dataclass, field +from typing import List +import os + + +@dataclass +class Depset: + name: str + operation: str + requirements: List[str] + constraints: List[str] + output: str + + +@dataclass +class Config: + depsets: List[Depset] = field(default_factory=list) + + @staticmethod + def from_dict(data: dict) -> "Config": + raw_depsets = data.get("depsets", []) + depsets = [ + Depset( + name=values.get("name"), + requirements=values.get("requirements", []), + constraints=values.get("constraints", []), + operation=values.get("operation", "compile"), + output=values.get("output"), + ) + for values in raw_depsets + ] + + return Config(depsets=depsets) + + +class Workspace: + def __init__(self, dir: str = None): + self.dir = ( + dir if dir is not None else os.getenv("BUILD_WORKSPACE_DIRECTORY", None) + ) + if self.dir is None: + raise RuntimeError("BUILD_WORKSPACE_DIRECTORY is not set") + + def load_config(self, path: str) -> Config: + with open(os.path.join(self.dir, path), "r") as f: + data = yaml.safe_load(f) + return Config.from_dict(data) From b659d050602c8712b96bc0f5c14257d5c0eaa6ef Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Mon, 14 Jul 2025 22:19:17 -0700 Subject: [PATCH 0203/1566] [train] update `datasets` from `2.19.1` to `3.6.0` (#54338) This fixes an issue in lower versions of `datasets` when trying to call `load_datasets`. ### Changes 1. Bump `datasets` to `3.6.0`. 2. Bump other dependencies needed to make this work. 3. Recompile dependencies. 4. Update examples to use the new APIs. 5. Disable the huggingface test for `pyarrow v9` because the pinned `datasets` version is explicitly incompatible. 6. Unpin dependencies introduced in the https://github.com/ray-project/ray/pull/54425 stop-gap, and rely on the global dependencies instead. ### Example **Repro:** ```python from datasets import load_dataset load_dataset("tiny_shakespeare") ``` **Bad:** ```bash (base) ray@ip-10-0-98-222:~/default$ pip install -q "datasets==3.0.1" Successfully registered `datasets` package to be installed on all cluster nodes. View and update dependencies here: https://console.anyscale-staging.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_92c7b71w55flm6gv6imv4m6vqg/workspaces/expwrk_hzadb7trab42qwqk8yumcx8tf2?workspace-tab=dependencies (base) ray@ip-10-0-98-222:~/default$ python repro.py Traceback (most recent call last): File "/home/ray/default/repro.py", line 2, in load_dataset("tiny_shakespeare") File "/home/ray/anaconda3/lib/python3.9/site-packages/datasets/load.py", line 2074, in load_dataset builder_instance = load_dataset_builder( File "/home/ray/anaconda3/lib/python3.9/site-packages/datasets/load.py", line 1795, in load_dataset_builder dataset_module = dataset_module_factory( File "/home/ray/anaconda3/lib/python3.9/site-packages/datasets/load.py", line 1671, in dataset_module_factory raise e1 from None File "/home/ray/anaconda3/lib/python3.9/site-packages/datasets/load.py", line 1617, in dataset_module_factory can_load_config_from_parquet_export = "DEFAULT_CONFIG_NAME" not in f.read() File "/home/ray/anaconda3/lib/python3.9/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte ``` **Good:** ```bash (base) ray@ip-10-0-98-222:~/default$ pip install -q "datasets==3.0.2" Successfully registered `datasets` package to be installed on all cluster nodes. View and update dependencies here: https://console.anyscale-staging.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_92c7b71w55flm6gv6imv4m6vqg/workspaces/expwrk_hzadb7trab42qwqk8yumcx8tf2?workspace-tab=dependencies (base) ray@ip-10-0-98-222:~/default$ python repro.py The repository for tiny_shakespeare contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/tiny_shakespeare. You can avoid this prompt in future by passing the argument `trust_remote_code=True`. Do you wish to run the custom code? [y/N] ``` --------- Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- .../lightning/lightning_cola_advanced.ipynb | 812 +++--- .../huggingface_text_classification.ipynb | 2212 ++++++++++++----- .../data/tests/test_execution_optimizer.py | 24 + .../ml/data-test-requirements.txt | 2 +- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 12 +- ...requirements_compiled_rayllm_py311_cpu.txt | 87 +- ...quirements_compiled_rayllm_py311_cu121.txt | 87 +- ...quirements_compiled_rayllm_py311_cu128.txt | 86 +- release/ray_release/byod/byod_dolly_test.sh | 3 +- release/ray_release/byod/byod_gptj_test.sh | 3 - release/ray_release/byod/byod_vicuna_test.sh | 3 +- .../byod/requirements_byod_3.9.txt | 87 +- .../byod/requirements_ml_byod_3.9.txt | 100 +- 14 files changed, 2327 insertions(+), 1193 deletions(-) diff --git a/doc/source/train/examples/lightning/lightning_cola_advanced.ipynb b/doc/source/train/examples/lightning/lightning_cola_advanced.ipynb index a72a8a745f68..bef0e22c86f1 100644 --- a/doc/source/train/examples/lightning/lightning_cola_advanced.ipynb +++ b/doc/source/train/examples/lightning/lightning_cola_advanced.ipynb @@ -73,12 +73,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-08-14 16:45:51.059256: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "2023-08-14 16:45:51.198481: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "2023-08-14 16:45:52.005931: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "2023-08-14 16:45:52.006010: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "2023-08-14 16:45:52.006015: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n" + "/home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + " _torch_pytree._register_pytree_node(\n", + "/home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + " _torch_pytree._register_pytree_node(\n", + "2025-07-09 16:06:28.571151: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2025-07-09 16:06:28.619363: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2025-07-09 16:06:28.619382: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2025-07-09 16:06:28.620593: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2025-07-09 16:06:28.628175: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2025-07-09 16:06:29.628216: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" ] } ], @@ -90,7 +95,8 @@ "import torch.nn.functional as F\n", "from torch.utils.data import DataLoader, random_split\n", "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n", - "from datasets import load_dataset, load_metric" + "from datasets import load_dataset\n", + "from evaluate import load" ] }, { @@ -110,9 +116,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "196d64411a9643029163c6fa18c3e639", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Parquet Files Sample 0: 0%| | 0.00/1.00 [00:00\n", - "

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    Trial Status

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    Trial name status loc iter total time (s) train_loss matthews_correlation epoch
    TorchTrainer_b723f_00000TERMINATED10.0.63.245:150507 5 337.748 0.0199119 0.577705 4
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    • \n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-07-09 16:06:43,377\tINFO tune.py:616 -- [output] This uses the legacy output and progress reporter, as Jupyter notebooks are not supported by the new engine, yet. For more information, please see https://github.com/ray-project/ray/issues/36949\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "== Status ==\n", + "Current time: 2025-07-09 16:06:43 (running for 00:00:00.11)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_16-06-43/ptl-sent-classification/driver_artifacts\n", + "Number of trials: 1/1 (1 PENDING)\n", + "\n", + "\n" + ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m 2023-08-14 16:46:02.166995: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m 2023-08-14 16:46:02.306203: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m 2023-08-14 16:46:03.087593: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m 2023-08-14 16:46:03.087670: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=150507)\u001b[0m 2023-08-14 16:46:03.087677: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(TorchTrainer pid=150507)\u001b[0m Starting distributed worker processes: ['150618 (10.0.63.245)', '150619 (10.0.63.245)', '150620 (10.0.63.245)', '150621 (10.0.63.245)']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Setting up process group for: env:// [rank=0, world_size=4]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Auto configuring locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m 2023-08-14 16:46:10.311338: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 2023-08-14 16:46:10.408092: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m 2023-08-14 16:46:11.238415: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m 2023-08-14 16:46:11.238492: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m 2023-08-14 16:46:11.238500: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForSequenceClassification: ['cls.predictions.transform.LayerNorm.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m - This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m - This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.weight', 'classifier.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForSequenceClassification: ['cls.predictions.transform.LayerNorm.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150619)\u001b[0m Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForSequenceClassification: ['cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForSequenceClassification: ['cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m GPU available: True, used: True\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m TPU available: False, using: 0 TPU cores\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m IPU available: False, using: 0 IPUs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m HPU available: False, using: 0 HPUs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Missing logger folder: /home/ray/ray_results/ptl-sent-classification/TorchTrainer_b723f_00000_0_2023-08-14_16-45-57/rank_3/lightning_logs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m LOCAL_RANK: 2 - CUDA_VISIBLE_DEVICES: [0,1,2,3]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m 2023-08-14 16:46:10.337167: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\u001b[32m [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/ray-logging.html#log-deduplication for more options.)\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m 2023-08-14 16:46:10.467812: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m 2023-08-14 16:46:11.270123: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m 2023-08-14 16:46:11.270131: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m | Name | Type | Params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m --------------------------------------------------------\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 0 | model | BertForSequenceClassification | 108 M \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m --------------------------------------------------------\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 108 M Trainable params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 0 Non-trainable params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 108 M Total params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m 433.247 Total estimated model params size (MB)\n" + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m _torch_pytree._register_pytree_node(\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9855485835db46d5be3df9ad8aeef168", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=150620) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:51.068628: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:51.116629: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:51.116652: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:51.117931: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:51.125011: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "\u001b[36m(TrainTrainable pid=47169)\u001b[0m 2025-07-09 16:06:52.119328: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "319d63c5ab5b4fdcb83f40b6250e2aa8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m - This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m - This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150619)\u001b[0m Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.weight', 'classifier.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.bias', 'classifier.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Missing logger folder: /home/ray/ray_results/ptl-sent-classification/TorchTrainer_b723f_00000_0_2023-08-14_16-45-57/rank_2/lightning_logs\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m 2025-07-09 16:07:03.237463: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m 2025-07-09 16:07:03.285818: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m 2025-07-09 16:07:03.285846: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m 2025-07-09 16:07:03.287089: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m 2025-07-09 16:07:03.294281: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4929168d51234b51b9e0ab72c30d6ae3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=150822) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[ReadParquet] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)->MapBatches(random_sample)] -> OutputSplitter[split(4, equal=True)]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e3a7a20a10d84f829496fb716a17b4d6", + "model_id": "66f35c7963ae4454a7c3c994e74c4931", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150620) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)]\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m [W reducer.cpp:1300] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\u001b[32m [repeated 3x across cluster]\u001b[0m\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9dc2da867eae4cd08a5d1efbd596ca0b", + "model_id": "56f89118e64b4fddb4f7c396982bb681", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -641,12 +617,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ef8287661a6e4af58e9a68a8573c2571", + "model_id": "805fb314d7804299a18666be5963561f", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150619) Running 0: 0%| | 0/1 [00:00MapBatches(random_sample) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -655,77 +631,107 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a6c8f59f08a64dfbb7d86f05063ee507", + "model_id": "7476884ca79143508e60cfe86fbce086", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150618) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 4x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:03.305020: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:03.353280: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:03.353303: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:03.354507: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:03.361526: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m 2025-07-09 16:07:04.397838: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(tokenize_sentence)->MapBatches(random_sample) pid=48062)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(tokenize_sentence)->MapBatches(random_sample) pid=48062)\u001b[0m _torch_pytree._register_pytree_node(\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m warnings.warn(\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47316)\u001b[0m Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['classifier.bias', 'classifier.weight']\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47316)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/ray/train/lightning/_lightning_utils.py:262: RayDeprecationWarning: This API is deprecated and may be removed in future Ray releases. You could suppress this warning by setting env variable PYTHONWARNINGS=\"ignore::DeprecationWarning\"\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m `get_trial_name` is deprecated because the concept of a `Trial` will soon be removed in Ray Train.Ray Train will no longer assume that it's running within a Ray Tune `Trial` in the future. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m self.trial_name = train.get_context().get_trial_name()\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47313)\u001b[0m Missing logger folder: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_16-06-43/ptl-sent-classification/working_dirs/TorchTrainer_61240_00000_0_2025-07-09_16-06-43/lightning_logs\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=47321)\u001b[0m LOCAL_RANK: 3 - CUDA_VISIBLE_DEVICES: [0,1,2,3]\u001b[32m [repeated 3x across cluster]\u001b[0m\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b44b3149e60c458a868c1bdefc2d7f1b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=150822) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2ed7416eada74116a4360666e91a4929", + "model_id": "0774df975e1547e7aec3953f8f4126f8", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -734,12 +740,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9ebb42be9d5640488e36ed0ec018a568", + "model_id": "6398890fc05e4920970ab3c292d66028", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150619) Running 0: 0%| | 0/1 [00:00MapBatches(random_sample) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -748,44 +754,62 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0eea5895443f4b06a0957f052f2b542f", + "model_id": "da20605e6db14c8e98edfe1b1736333c", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150618) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[ReadParquet] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)->MapBatches(random_sample)] -> OutputSplitter[split(4, equal=True)]\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m [rank0]:[W reducer.cpp:1389] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001b[36m(MapBatches(tokenize_sentence)->MapBatches(random_sample) pid=50017)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\u001b[32m [repeated 46x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(tokenize_sentence)->MapBatches(random_sample) pid=50017)\u001b[0m _torch_pytree._register_pytree_node(\u001b[32m [repeated 46x across cluster]\u001b[0m\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[1m\u001b[36m(autoscaler +2m37s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" + "== Status ==\n", + "Current time: 2025-07-09 16:07:23 (running for 00:00:40.31)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_16-06-43/ptl-sent-classification/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(SplitCoordinator pid=47667)\u001b[0m ✔️ Dataset train_39_0 execution finished in 2.76 seconds\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Registered dataset logger for dataset validation_40_1\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Starting execution of Dataset validation_40_1. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Execution plan of Dataset validation_40_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)->MapBatches(random_sample)] -> OutputSplitter[split(4, equal=True)]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "55002f995b1f4b13a06ab9d9ad26bde4", + "model_id": "69c836df9d0242aa9fc2070cb7bbc0d9", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150822) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c506b0e9ab6049cf935f434946ded564", + "model_id": "9f5dcd3282eb4b008c50ef16015c7c6d", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00MapBatches(random_sample) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -834,65 +846,69 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b1d1983ca77b4f2bb765695c6e3d2cff", + "model_id": "29d67ea47c614625929a15a34525ddc3", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150619) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=47316)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/ptl-sent-classification/TorchTrainer_61240_00000_0_2025-07-09_16-06-43/checkpoint_000000)\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3fe17e7cfe8c46c59f19eeee3f035ac0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=150822) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" + "\u001b[36m(SplitCoordinator pid=47667)\u001b[0m Registered dataset logger for dataset train_39_1\n", + "\u001b[36m(SplitCoordinator pid=47667)\u001b[0m Starting execution of Dataset train_39_1. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=47667)\u001b[0m Execution plan of Dataset train_39_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)->MapBatches(random_sample)] -> OutputSplitter[split(4, equal=True)]\n", + "\u001b[36m(RayTrainWorker pid=47314)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/ptl-sent-classification/TorchTrainer_61240_00000_0_2025-07-09_16-06-43/checkpoint_000000)\u001b[32m [repeated 3x across cluster]\u001b[0m\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bf189f6d33d349f78319bc0c8cbdfe74", + "model_id": "b0bb61197c954441a778f09b6fde1c7f", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -927,12 +941,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "913dbf89b0f049b88a79ded14306343a", + "model_id": "c4b2264b99b447348eb967a2e2fe90dd", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150619) Running 0: 0%| | 0/1 [00:00MapBatches(random_sample) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -941,37 +955,50 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b462dba6a9dd41caaf09cc2328d74123", + "model_id": "2d26a79014fd4907bce9482bf74f94fe", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150618) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[MapBatches(tokenize_sentence)] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=['d4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b', 'd4dd34cdb4b35e8b1e0f1ab4187b66ed900ab78de951f03e1125233b'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150618)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=150822)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(SplitCoordinator pid=47667)\u001b[0m ✔️ Dataset train_39_1 execution finished in 3.11 seconds\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Registered dataset logger for dataset validation_40_2\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Starting execution of Dataset validation_40_2. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=47666)\u001b[0m Execution plan of Dataset validation_40_2: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)->MapBatches(random_sample)] -> OutputSplitter[split(4, equal=True)]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6a84f019f5394fbc91a19d85ea06eaec", + "model_id": "9f7033745bbf4abfa0aa322e66f9605c", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150822) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150620)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(tokenize_sentence)]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=2000000000.0), locality_with_output=True, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=150621)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "397281cffac14ce6a6a6e5ea1f22ccf1", + "model_id": "bd05af9c7e104f00b938f193f4b8ac6e", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150621) Running 0: 0%| | 0/1 [00:00MapBatches(random_sample) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1020,36 +1035,95 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "dd2a2d8ee918493388f0b3c500087692", + "model_id": "2fb0d2c757fd4a10816eec6bf4f06f98", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=150619) Running 0: 0%| | 0/1 [00:00\n", - "
    \n", - "
    \n", - "

    Tune Status

    \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    Current time:2023-09-06 14:27:12
    Running for: 00:01:40.12
    Memory: 18.4/186.6 GiB
    \n", - "
    \n", - "
    \n", - "
    \n", - "

    System Info

    \n", - " Using FIFO scheduling algorithm.
    Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 accelerator_type:None)\n", - "
    \n", - " \n", - "
    \n", - "
    \n", - "
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    Trial Status

    \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    Trial name status loc iter total time (s) loss learning_rate epoch
    TorchTrainer_e8bd4_00000TERMINATED10.0.27.125:43821 2 76.62590.3866 0 1.5
    \n", - "
    \n", - "
    \n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m 2023-09-06 14:25:35.638885: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m 2023-09-06 14:25:35.782950: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m 2023-09-06 14:25:36.501583: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m 2023-09-06 14:25:36.501653: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m 2023-09-06 14:25:36.501660: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=43821)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\n", - "\u001b[2m\u001b[36m(TorchTrainer pid=43821)\u001b[0m Starting distributed worker processes: ['43946 (10.0.27.125)']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m 2023-09-06 14:25:42.756510: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m 2023-09-06 14:25:42.903398: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Auto configuring locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m 2023-09-06 14:25:43.737476: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m 2023-09-06 14:25:43.737544: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m 2023-09-06 14:25:43.737554: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\n" + "2025-07-09 15:56:32,564\tINFO tune.py:616 -- [output] This uses the legacy output and progress reporter, as Jupyter notebooks are not supported by the new engine, yet. For more information, please see https://github.com/ray-project/ray/issues/36949\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Is CUDA available: True\n" + "== Status ==\n", + "Current time: 2025-07-09 15:56:32 (running for 00:00:00.11)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 PENDING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_layer_norm.bias', 'vocab_projector.bias', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_projector.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.weight', 'classifier.bias', 'pre_classifier.bias', 'pre_classifier.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Auto configuring locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026']\n" + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:36.371154: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:36.418819: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:36.418845: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:36.420083: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:36.427078: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m 2025-07-09 15:56:37.464124: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m max_steps_per_epoch: 534\n" + "== Status ==\n", + "Current time: 2025-07-09 15:56:37 (running for 00:00:05.13)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 PENDING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m max_steps is given, it will override any value given in num_train_epochs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m warnings.warn(\n" + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(TrainTrainable pid=41390)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Starting training\n" + "== Status ==\n", + "Current time: 2025-07-09 15:56:42 (running for 00:00:10.18)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/accelerator_shape:4xT4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m ***** Running training *****\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Num examples = 17088\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Num Epochs = 9223372036854775807\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Instantaneous batch size per device = 16\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Total train batch size (w. parallel, distributed & accumulation) = 16\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Gradient Accumulation steps = 1\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Total optimization steps = 1068\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m /tmp/ipykernel_43503/4088900328.py:23: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Executing DAG InputDataBuffer[Input] -> OutputSplitter[split(1, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\n", + "\u001b[36m(TorchTrainer pid=41390)\u001b[0m Started distributed worker processes: \n", + "\u001b[36m(TorchTrainer pid=41390)\u001b[0m - (node_id=f67b5f412a227b4c6b3ddd85d6f5b1eecd0bd0917efa8f9cd4b5e4da, ip=10.0.114.132, pid=41521) world_rank=0, local_rank=0, node_rank=0\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:44.730942: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:44.779207: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:44.779230: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:44.780437: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:44.787541: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m 2025-07-09 15:56:45.863740: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m _torch_pytree._register_pytree_node(\n" ] }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=44016) Running 0: 0%| | 0/1 [00:00 OutputSplitter[split(1, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m warnings.warn(\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/ray/data/iterator.py:436: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m warnings.warn(\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/accelerate/accelerator.py:432: FutureWarning: Passing the following arguments to `Accelerator` is deprecated and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches', 'split_batches']). Please pass an `accelerate.DataLoaderConfiguration` instead: \n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m dataloader_config = DataLoaderConfiguration(dispatch_batches=None, split_batches=False)\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m max_steps_per_epoch: 534\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m Starting training\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "77e95e89b2094af1be48278c9e7d65d2", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=44017) Running 0: 0%| | 0/1 [00:00 OutputSplitter[split(1, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44016)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "e4e962af7830421da3dc3a58d85333e1", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=44016) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m {'loss': 0.3866, 'learning_rate': 0.0, 'epoch': 1.5}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m ***** Running Evaluation *****\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Num examples: Unknown\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Batch size = 16\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Executing DAG InputDataBuffer[Input] -> OutputSplitter[split(1, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=44017)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "1b3a0c80878d46bfa496425a6c750405", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=44017) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m {'eval_loss': 0.5527923107147217, 'eval_matthews_correlation': 0.44860917123689154, 'eval_runtime': 0.6646, 'eval_samples_per_second': 1569.42, 'eval_steps_per_second': 99.311, 'epoch': 1.5}\n" + "== Status ==\n", + "Current time: 2025-07-09 15:56:52 (running for 00:00:20.23)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Model weights saved in distilbert-base-uncased-finetuned-cola/checkpoint-1068/pytorch_model.bin\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m tokenizer config file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1068/tokenizer_config.json\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Special tokens file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1068/special_tokens_map.json\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/mnt/cluster_storage/ray_results/TorchTrainer_2023-09-06_14-25-31/TorchTrainer_e8bd4_00000_0_2023-09-06_14-25-32/checkpoint_000001)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m \n" + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m /tmp/ipykernel_40967/133795194.py:24: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m [rank0]:[W reducer.cpp:1389] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=43946)\u001b[0m {'train_runtime': 66.0485, 'train_samples_per_second': 258.719, 'train_steps_per_second': 16.17, 'train_loss': 0.46413421630859375, 'epoch': 1.5}\n" + "== Status ==\n", + "Current time: 2025-07-09 15:56:57 (running for 00:00:25.25)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:02 (running for 00:00:30.27)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:07 (running for 00:00:35.29)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:12 (running for 00:00:40.32)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:17 (running for 00:00:45.34)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2023-09-06 14:27:12,180\tWARNING experiment_state.py:371 -- Experiment checkpoint syncing has been triggered multiple times in the last 30.0 seconds. A sync will be triggered whenever a trial has checkpointed more than `num_to_keep` times since last sync or if 300 seconds have passed since last sync. If you have set `num_to_keep` in your `CheckpointConfig`, consider increasing the checkpoint frequency or keeping more checkpoints. You can supress this warning by changing the `TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S` environment variable.\n", - "2023-09-06 14:27:12,184\tINFO tune.py:1141 -- Total run time: 100.17 seconds (85.12 seconds for the tuning loop).\n" + "\u001b[36m(SplitCoordinator pid=41621)\u001b[0m ✔️ Dataset train_23_0 execution finished in 28.21 seconds\n" ] - } - ], - "source": [ - "result = trainer.fit()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "4cnWqUWmhYba" - }, - "source": [ - "You can use the returned `Result` object to access metrics and the Ray Train `Checkpoint` associated with the last iteration." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" }, - "id": "AMN5qjUwhYba", - "outputId": "7b754c36-c58b-4ff4-d7a8-63ec9764bd0c" - }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m {'loss': 0.5441, 'learning_rate': 9.9812734082397e-06, 'epoch': 0.5}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Registered dataset logger for dataset eval_24_0\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Starting execution of Dataset eval_24_0. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Execution plan of Dataset eval_24_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7afaf8757b8e49ff8ba1432fc50fb053", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1c0abd88c1694102bd779fca0ea61804", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a5cd7456953145c195d74c23ed8badd7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "== Status ==\n", + "Current time: 2025-07-09 15:57:22 (running for 00:00:50.36)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m {'eval_loss': 0.51453697681427, 'eval_matthews_correlation': 0.37793570732654813, 'eval_runtime': 1.8456, 'eval_samples_per_second': 565.126, 'eval_steps_per_second': 35.761, 'epoch': 0.5}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-07-09 15:57:26,970\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/TorchTrainer_2025-07-09_15-56-32/TorchTrainer_f5114_00000_0_2025-07-09_15-56-32/checkpoint_000000)\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m ✔️ Dataset eval_24_0 execution finished in 1.73 seconds\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "99ce23489c4a46ec9f621589bd83ff9a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41621) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c77d0ec4db2e40b982a32d3171238ac8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41621) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e20adeec80504e68875294b053e0c1c0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41621) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "== Status ==\n", + "Current time: 2025-07-09 15:57:27 (running for 00:00:55.36)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:32 (running for 00:01:00.38)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:38 (running for 00:01:05.41)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:43 (running for 00:01:10.43)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/provider:aws)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:48 (running for 00:01:15.45)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 accelerator_type:T4, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/provider:aws)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:53 (running for 00:01:20.47)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=41621)\u001b[0m ✔️ Dataset train_23_1 execution finished in 26.58 seconds\n", + "\u001b[36m(SplitCoordinator pid=41621)\u001b[0m Registered dataset logger for dataset train_23_1\n", + "\u001b[36m(SplitCoordinator pid=41621)\u001b[0m Starting execution of Dataset train_23_1. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=41621)\u001b[0m Execution plan of Dataset train_23_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m {'loss': 0.3864, 'learning_rate': 0.0, 'epoch': 1.5}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Registered dataset logger for dataset eval_24_1\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Starting execution of Dataset eval_24_1. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m Execution plan of Dataset eval_24_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3853079fdd524064890b0dfccb41aa9b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7398954babdc47798b8da28a2adfc080", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "37889407c41e4a5782e8f74b02a401a3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=41622) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m {'eval_loss': 0.5683005452156067, 'eval_matthews_correlation': 0.45115517656589194, 'eval_runtime': 1.6027, 'eval_samples_per_second': 650.77, 'eval_steps_per_second': 41.18, 'epoch': 1.5}\n", + "== Status ==\n", + "Current time: 2025-07-09 15:57:58 (running for 00:01:25.49)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 RUNNING)\n", + "\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-07-09 15:57:59,354\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/TorchTrainer_2025-07-09_15-56-32/TorchTrainer_f5114_00000_0_2025-07-09_15-56-32/checkpoint_000001)\n", + "\u001b[36m(SplitCoordinator pid=41622)\u001b[0m ✔️ Dataset eval_24_1 execution finished in 1.49 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=41521)\u001b[0m {'train_runtime': 66.7725, 'train_samples_per_second': 255.914, 'train_steps_per_second': 15.995, 'train_loss': 0.4653928092356478, 'epoch': 1.5}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-07-09 15:58:00,649\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/home/ray/ray_results/TorchTrainer_2025-07-09_15-56-32' in 0.0022s.\n", + "2025-07-09 15:58:00,651\tINFO tune.py:1041 -- Total run time: 88.09 seconds (88.03 seconds for the tuning loop).\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "== Status ==\n", + "Current time: 2025-07-09 15:58:00 (running for 00:01:28.04)\n", + "Using FIFO scheduling algorithm.\n", + "Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4)\n", + "Result logdir: /tmp/ray/session_2025-07-09_15-09-59_163606_3385/artifacts/2025-07-09_15-56-32/TorchTrainer_2025-07-09_15-56-32/driver_artifacts\n", + "Number of trials: 1/1 (1 TERMINATED)\n", + "\n", + "\n" + ] + } + ], + "source": [ + "result = trainer.fit()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4cnWqUWmhYba" + }, + "source": [ + "You can use the returned `Result` object to access metrics and the Ray Train `Checkpoint` associated with the last iteration." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AMN5qjUwhYba", + "outputId": "7b754c36-c58b-4ff4-d7a8-63ec9764bd0c" + }, "outputs": [ { "data": { "text/plain": [ "Result(\n", - " metrics={'loss': 0.3866, 'learning_rate': 0.0, 'epoch': 1.5, 'step': 1068, 'eval_loss': 0.5527923107147217, 'eval_matthews_correlation': 0.44860917123689154, 'eval_runtime': 0.6646, 'eval_samples_per_second': 1569.42, 'eval_steps_per_second': 99.311},\n", - " path='/mnt/cluster_storage/ray_results/TorchTrainer_2023-09-06_14-25-31/TorchTrainer_e8bd4_00000_0_2023-09-06_14-25-32',\n", + " metrics={'loss': 0.3864, 'learning_rate': 0.0, 'epoch': 1.5, 'step': 1068, 'eval_loss': 0.5683005452156067, 'eval_matthews_correlation': 0.45115517656589194, 'eval_runtime': 1.6027, 'eval_samples_per_second': 650.77, 'eval_steps_per_second': 41.18},\n", + " path='/home/ray/ray_results/TorchTrainer_2025-07-09_15-56-32/TorchTrainer_f5114_00000_0_2025-07-09_15-56-32',\n", " filesystem='local',\n", - " checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/ray_results/TorchTrainer_2023-09-06_14-25-31/TorchTrainer_e8bd4_00000_0_2023-09-06_14-25-32/checkpoint_000001)\n", + " checkpoint=Checkpoint(filesystem=local, path=/home/ray/ray_results/TorchTrainer_2025-07-09_15-56-32/TorchTrainer_f5114_00000_0_2025-07-09_15-56-32/checkpoint_000001)\n", ")" ] }, @@ -1071,14 +1403,18 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2023-09-06 14:46:47,821\tINFO tuner_internal.py:508 -- A `RunConfig` was passed to both the `Tuner` and the `TorchTrainer`. The run config passed to the `Tuner` is the one that will be used.\n" + "/home/ray/anaconda3/lib/python3.9/site-packages/ray/tune/impl/tuner_internal.py:108: RayDeprecationWarning: The Ray Train + Ray Tune integration has been reworked. Passing a Trainer to the Tuner is deprecated and will be removed in a future release. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0\n", + " _log_deprecation_warning(\n", + "2025-07-09 15:58:50,737\tINFO tuner_internal.py:427 -- A `RunConfig` was passed to both the `Tuner` and the `TorchTrainer`. The run config passed to the `Tuner` is the one that will be used.\n", + "/home/ray/anaconda3/lib/python3.9/site-packages/ray/tune/impl/tuner_internal.py:144: RayDeprecationWarning: The `RunConfig` class should be imported from `ray.tune` when passing it to the Tuner. Please update your imports. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0\n", + " _log_deprecation_warning(\n" ] } ], @@ -1117,7 +1453,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1129,16 +1465,16 @@ "

    Tune Status

    \n", " \n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", "
    Current time:2023-09-06 14:49:04
    Running for: 00:02:16.18
    Memory: 19.6/186.6 GiB
    Current time:2025-07-09 16:01:22
    Running for: 00:02:31.82
    Memory: 21.8/186.7 GiB
    \n", "
    \n", "
    \n", "
    \n", "

    System Info

    \n", - " Using AsyncHyperBand: num_stopped=4
    Bracket: Iter 4.000: -0.6517604142427444 | Iter 1.000: -0.5936744660139084
    Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 accelerator_type:None)\n", + " Using AsyncHyperBand: num_stopped=4
    Bracket: Iter 4.000: -0.6557375341653824 | Iter 1.000: -0.5925458520650864
    Logical resource usage: 1.0/48 CPUs, 1.0/4 GPUs (0.0/1.0 anyscale/accelerator_shape:4xT4, 0.0/1.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:T4)\n", "
    \n", " \n", "
    \n", @@ -1147,14 +1483,14 @@ "

    Trial Status

    \n", " \n", "\n", - "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "\n", "
    Trial name status loc train_loop_config/le\n", + "
    Trial name status loc train_loop_config/le\n", "arning_rate iter total time (s) loss learning_rate epoch
    TorchTrainer_e1825_00000TERMINATED10.0.27.125:574962e-05 4 128.443 0.1934 0 3.25
    TorchTrainer_e1825_00001TERMINATED10.0.27.125:574970.0002 1 41.24860.616 0.000149906 0.25
    TorchTrainer_e1825_00002TERMINATED10.0.27.125:574980.002 1 41.13360.6699 0.00149906 0.25
    TorchTrainer_e1825_00003TERMINATED10.0.27.125:574990.02 4 126.699 0.6073 0 3.25
    TorchTrainer_4776a_00000TERMINATED10.0.114.132:425562e-05 4 142.984 0.1999 0 3.25
    TorchTrainer_4776a_00001TERMINATED10.0.114.132:425550.0002 4 140.012 0.6062 0 3.25
    TorchTrainer_4776a_00002TERMINATED10.0.114.132:425540.002 1 45.33440.6338 0.00149906 0.25
    TorchTrainer_4776a_00003TERMINATED10.0.114.132:425570.02 1 44.32681.0524 0.0149906 0.25
    \n", "
    \n", @@ -1191,7 +1527,550 @@ "\n" ], "text/plain": [ - "" + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m _torch_pytree._register_pytree_node(\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:54.742632: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:54.791129: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:54.791160: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:54.792360: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:54.799462: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m 2025-07-09 15:58:55.891590: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[36m(TrainTrainable pid=42555)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\u001b[32m [repeated 11x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m _torch_pytree._register_pytree_node(\u001b[32m [repeated 11x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:54.846302: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:54.894258: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:54.894288: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:54.895511: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:54.902693: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m 2025-07-09 15:58:55.983418: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TorchTrainer pid=42555)\u001b[0m Started distributed worker processes: \n", + "\u001b[36m(TorchTrainer pid=42555)\u001b[0m - (node_id=f67b5f412a227b4c6b3ddd85d6f5b1eecd0bd0917efa8f9cd4b5e4da, ip=10.0.114.132, pid=42936) world_rank=0, local_rank=0, node_rank=0\n", + "\u001b[36m(TrainTrainable pid=42557)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m _torch_pytree._register_pytree_node(\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:04.120920: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:04.169996: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:04.170027: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:04.171251: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:04.178492: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m 2025-07-09 15:59:05.298407: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(TorchTrainer pid=42554)\u001b[0m Started distributed worker processes: \u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(TorchTrainer pid=42554)\u001b[0m - (node_id=f67b5f412a227b4c6b3ddd85d6f5b1eecd0bd0917efa8f9cd4b5e4da, ip=10.0.114.132, pid=42945) world_rank=0, local_rank=0, node_rank=0\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Is CUDA available: True\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m max_steps_per_epoch: 534\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight', 'classifier.bias']\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/ray/data/iterator.py:436: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/accelerate/accelerator.py:432: FutureWarning: Passing the following arguments to `Accelerator` is deprecated and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches', 'split_batches']). Please pass an `accelerate.DataLoaderConfiguration` instead: \n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m dataloader_config = DataLoaderConfiguration(dispatch_batches=None, split_batches=False)\n", + "\u001b[36m(RayTrainWorker pid=42931)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n", + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.weight', 'classifier.weight', 'classifier.bias', 'pre_classifier.bias']\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m _torch_pytree._register_pytree_node(\u001b[32m [repeated 8x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Starting training\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m Registered dataset logger for dataset train_25_0\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "381745e2424841cc82d71df5a7ed545e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m Starting execution of Dataset train_25_0. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m Execution plan of Dataset train_25_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3c88af7e05bf422d9b341fb124ca7719", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c078b0fe62344c9b0d53610a17c07c7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "39250cedacf84b0faef448c0c5b837e4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43285) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "128ff4fec2ac4a1ca3b5afde0c250a61", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43285) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "23e71e46a727483d9f896cf92f4aca3a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43285) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fcd9e0fe93144c828964ea2d050183e8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f5d93d0352a74eeb96904a63203d8487", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "440fc2a8bd94405aa2be557a40db7a44", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c2ac3585db74276ac56626d73c97b3f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43310) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4a7227f3a0be49da802319e8cc7d14d4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43310) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e18c1ac338ec4aef9756c4740679a4c9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43310) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m /tmp/ipykernel_40967/133795194.py:24: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m [rank0]:[W reducer.cpp:1389] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m warnings.warn(\u001b[32m [repeated 11x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m Is CUDA available: True\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m max_steps_per_epoch: 534\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m Starting training\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m ✔️ Dataset train_25_0 execution finished in 26.65 seconds\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/ray/data/iterator.py:436: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/accelerate/accelerator.py:432: FutureWarning: Passing the following arguments to `Accelerator` is deprecated and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches', 'split_batches']). Please pass an `accelerate.DataLoaderConfiguration` instead: \u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m dataloader_config = DataLoaderConfiguration(dispatch_batches=None, split_batches=False)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43310)\u001b[0m Registered dataset logger for dataset train_31_0\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43310)\u001b[0m Starting execution of Dataset train_31_0. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43310)\u001b[0m Execution plan of Dataset train_31_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m /tmp/ipykernel_40967/133795194.py:24: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42945)\u001b[0m [rank0]:[W reducer.cpp:1389] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'loss': 0.6202, 'learning_rate': 0.0001499063670411985, 'epoch': 0.25}\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bf0634abd84d46c6b9dfd4d88616ba45", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43279) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "17266e9ef00e4e49ba95ca859ae90b82", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43279) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dce463f3dfcd41dabd11f75f0317f70f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43279) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f846451ed71840448e34fe5bfe8fb701", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43286) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8b59da37c7f04ee1ac71584637833292", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43286) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a50712d5b11a45d8a73f97c1b6a11d9c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43286) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'eval_loss': 0.6168375611305237, 'eval_matthews_correlation': 0.0, 'eval_runtime': 1.73, 'eval_samples_per_second': 602.874, 'eval_steps_per_second': 38.149, 'epoch': 0.25}\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8bd24c41d3cf450c9fd0ba179676b1c2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43312) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "962f05a475614f57a598f7a01cd6f3e8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43312) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "47a2067b58734a689249a200fd97cb8d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43312) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0bc28864ef9444ce800eeb607c05a022", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9b8f1e2d233e4e85a50dfeb8d301695e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a0b8909966014423805bb150452703b0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m ✔️ Dataset eval_30_0 execution finished in 1.44 seconds\u001b[32m [repeated 7x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Registered dataset logger for dataset eval_30_0\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Starting execution of Dataset eval_30_0. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Execution plan of Dataset eval_30_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "2025-07-09 15:59:43,414\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00001_1_learning_rate=0.0002_2025-07-09_15-58-50/checkpoint_000000)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "619670da8b974f6e8c7ad6076097309a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "089cc9e6c15b4276a163c3f7d6fb823d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3267b5849990408aa3cd881afee5ae84", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1201,114 +2080,107 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m 2023-09-06 14:46:52.049839: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m 2023-09-06 14:46:52.195780: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m 2023-09-06 14:46:52.944517: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m 2023-09-06 14:46:52.944590: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m 2023-09-06 14:46:52.944597: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57498)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\n", - "\u001b[2m\u001b[36m(TorchTrainer pid=57498)\u001b[0m Starting distributed worker processes: ['57731 (10.0.27.125)']\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m 2023-09-06 14:46:52.229406: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m 2023-09-06 14:46:52.378805: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m 2023-09-06 14:46:53.174151: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m 2023-09-06 14:46:53.174160: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=57499)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Auto configuring locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026']\n" + "2025-07-09 15:59:43,850\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Is CUDA available: True\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m max_steps_per_epoch: 534\n" + "\u001b[33m(raylet)\u001b[0m A worker died or was killed while executing a task by an unexpected system error. To troubleshoot the problem, check the logs for the dead worker. RayTask ID: ffffffffffffffff767201a67d246bccb2cfe99f04000000 Worker ID: 473432f94d2e6c055386344cc7ef057e60305c3612b2110043c15195 Node ID: f67b5f412a227b4c6b3ddd85d6f5b1eecd0bd0917efa8f9cd4b5e4da Worker IP address: 10.0.114.132 Worker port: 10235 Worker PID: 43285 Worker exit type: SYSTEM_ERROR Worker exit detail: Worker exits unexpectedly by a signal. SystemExit is raised (sys.exit is called). Exit code: 1. The process receives a SIGTERM.\n", + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m {'loss': 0.5474, 'learning_rate': 1.4990636704119851e-05, 'epoch': 0.25}\u001b[32m [repeated 3x across cluster]\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_projector.weight', 'vocab_transform.weight', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight', 'vocab_transform.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.weight', 'classifier.weight', 'pre_classifier.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(TorchTrainer pid=57499)\u001b[0m Starting distributed worker processes: ['57746 (10.0.27.125)']\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m 2023-09-06 14:47:00.036649: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m 2023-09-06 14:47:00.198894: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Setting up process group for: env:// [rank=0, world_size=1]\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m 2023-09-06 14:47:01.085704: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m 2023-09-06 14:47:01.085711: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m comet_ml is installed but `COMET_API_KEY` is not set.\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57965)\u001b[0m Auto configuring locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026']\u001b[32m [repeated 7x across cluster]\u001b[0m\n" + "2025-07-09 15:59:44,961\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "2025-07-09 15:59:45,474\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Starting training\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b4b8153599784e23a4fb238a697b516f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m max_steps is given, it will override any value given in num_train_epochs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_layer_norm.bias', 'vocab_projector.weight', 'vocab_projector.bias', 'vocab_transform.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.weight', 'pre_classifier.weight', 'classifier.bias', 'pre_classifier.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57731)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_projector.bias', 'vocab_transform.weight', 'vocab_projector.weight', 'vocab_layer_norm.bias']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_transform.bias', 'vocab_transform.weight', 'vocab_layer_norm.weight', 'vocab_layer_norm.bias', 'vocab_projector.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.weight', 'pre_classifier.bias', 'classifier.bias', 'classifier.weight']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m ***** Running training *****\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Num examples = 34176\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Num Epochs = 9223372036854775807\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Instantaneous batch size per device = 16\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Total train batch size (w. parallel, distributed & accumulation) = 16\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Gradient Accumulation steps = 1\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Total optimization steps = 2136\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m /tmp/ipykernel_43503/4088900328.py:23: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Executing DAG InputDataBuffer[Input] -> OutputSplitter[split(1, equal=True)]\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3cce8496651744a48bbdadc897973537", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "2137913ebb734ae490911b9b6f12bee4", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57927) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00000_0_learning_rate=0.0000_2025-07-09_15-58-50/checkpoint_000000)\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'loss': 0.6118, 'learning_rate': 9.981273408239701e-05, 'epoch': 1.25}\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "c82f4563401d4092acac0bd9d5e5f914", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57946) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1331,78 +2203,92 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "18e55331a8c940c4809e7c987b5c2dfd", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57965) Running 0: 0%| | 0/1 [00:00 OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57965)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57965)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m [W reducer.cpp:1300] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'eval_loss': 0.6183397769927979, 'eval_matthews_correlation': 0.0, 'eval_runtime': 1.6008, 'eval_samples_per_second': 651.532, 'eval_steps_per_second': 41.228, 'epoch': 1.25}\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "9d39673b62fd448aa2ae0df6935fc5e0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dd6ba30d16f6411db9f742d8bfd2a09f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "153d279b89064c70a3798a546243bb83", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57928) Running 0: 0%| | 0/1 [00:00 TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00001_1_learning_rate=0.0002_2025-07-09_15-58-50/checkpoint_000001)\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "be7939a5d4ff4953b339d74b8dfdda99", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57955) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1425,12 +2311,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "f4d2cd6ef51e4085b316e5cef611c4e2", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57966) Running 0: 0%| | 0/1 [00:00= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m ✔️ Dataset eval_30_1 execution finished in 1.42 seconds\u001b[32m [repeated 2x across cluster]\u001b[0m\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "ba667d3e9d2b4f1a8f1213033c3c1391", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43292) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "efe638c058a5498cbfa0faa720ee73c1", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57927) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1472,12 +2370,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "765565b6bb1f4fd0a6416cef0f89150f", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57954) Running 0: 0%| | 0/1 [00:00 OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57954)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57954)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Saving model checkpoint to distilbert-base-uncased-finetuned-cola/checkpoint-535\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Configuration saved in distilbert-base-uncased-finetuned-cola/checkpoint-535/config.json\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Model weights saved in distilbert-base-uncased-finetuned-cola/checkpoint-535/pytorch_model.bin\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m tokenizer config file saved in distilbert-base-uncased-finetuned-cola/checkpoint-535/tokenizer_config.json\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Special tokens file saved in distilbert-base-uncased-finetuned-cola/checkpoint-535/special_tokens_map.json\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57740)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_e1825_00001_1_learning_rate=0.0002_2023-09-06_14-46-48/checkpoint_000000)\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Registered dataset logger for dataset train_29_2\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Starting execution of Dataset train_29_2. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Execution plan of Dataset train_29_2: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00000_0_learning_rate=0.0000_2025-07-09_15-58-50/checkpoint_000001)\n", + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m ✔️ Dataset train_25_2 execution finished in 26.23 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'loss': 0.6084, 'learning_rate': 4.971910112359551e-05, 'epoch': 2.25}\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "6baa886c59904f5d8dc54dfe15e5fa42", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57955) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1540,80 +2437,151 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "a7461fafc00f464ea458612ab5fcf99c", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57954) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a6cf8d04b3784100bfd8dae66d7dac6e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m ***** Running Evaluation *****\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Num examples: Unknown\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Batch size = 16\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Executing DAG InputDataBuffer[Input] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Saving model checkpoint to distilbert-base-uncased-finetuned-cola/checkpoint-1070\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Configuration saved in distilbert-base-uncased-finetuned-cola/checkpoint-1070/config.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Model weights saved in distilbert-base-uncased-finetuned-cola/checkpoint-1070/pytorch_model.bin\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m tokenizer config file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1070/tokenizer_config.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Special tokens file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1070/special_tokens_map.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_e1825_00000_0_learning_rate=0.0000_2023-09-06_14-46-48/checkpoint_000001)\u001b[32m [repeated 2x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00001_1_learning_rate=0.0002_2025-07-09_15-58-50/checkpoint_000002)\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Registered dataset logger for dataset eval_30_2\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Starting execution of Dataset eval_30_2. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Execution plan of Dataset eval_30_2: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "a4a7048734e64118bdd845102fff3d95", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bc55e98c37af4946bf72bc76447165b2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43278) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "99423a542be0461e83af53bf5881de9d", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57955) Running 0: 0%| | 0/1 [00:00= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "e60c6367e8724070a89b65195c672f83", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57928) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1636,12 +2604,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "554148da82234931804acef087f816a4", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57927) Running 0: 0%| | 0/1 [00:00 OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=['84374908fd32ea9885fdd6d21aadf2ce3e296daf28a26522e7a8d026'], preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(SplitCoordinator pid=57927)\u001b[0m Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Saving model checkpoint to distilbert-base-uncased-finetuned-cola/checkpoint-1605\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Configuration saved in distilbert-base-uncased-finetuned-cola/checkpoint-1605/config.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Model weights saved in distilbert-base-uncased-finetuned-cola/checkpoint-1605/pytorch_model.bin\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m tokenizer config file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1605/tokenizer_config.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Special tokens file saved in distilbert-base-uncased-finetuned-cola/checkpoint-1605/special_tokens_map.json\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_e1825_00000_0_learning_rate=0.0000_2023-09-06_14-46-48/checkpoint_000002)\u001b[32m [repeated 2x across cluster]\u001b[0m\n" + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00000_0_learning_rate=0.0000_2025-07-09_15-58-50/checkpoint_000002)\n", + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Registered dataset logger for dataset train_29_3\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Starting execution of Dataset train_29_3. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m Execution plan of Dataset train_29_3: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43278)\u001b[0m ✔️ Dataset train_25_3 execution finished in 26.13 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'loss': 0.6062, 'learning_rate': 0.0, 'epoch': 3.25}\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "4e0df25d49c54cca9f1ffddb650614a4", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "(pid=57955) Running 0: 0%| | 0/1 [00:00SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7bd0d3669060452b87fb88045fd29886", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43279) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1705,37 +2686,85 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m \n" + "\u001b[36m(SplitCoordinator pid=43292)\u001b[0m ✔️ Dataset train_29_3 execution finished in 26.48 seconds\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57746)\u001b[0m {'train_runtime': 115.5377, 'train_samples_per_second': 295.8, 'train_steps_per_second': 18.487, 'train_loss': 0.6787891173630618, 'epoch': 3.25}\n" + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'eval_loss': 0.6288657784461975, 'eval_matthews_correlation': 0.0, 'eval_runtime': 1.5236, 'eval_samples_per_second': 684.579, 'eval_steps_per_second': 43.319, 'epoch': 3.25}\n" ] }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cabd41fcbd9d45aa93bcd9354274d5a9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e7cb9faae4c5459b824ce24b9d5e6bdf", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - ReadParquet->SplitBlocks(96) 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4505f2f8a5a9405d9c518c312d4ac49f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=43293) - split(1, equal=True) 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "name": "stderr", "output_type": "stream", "text": [ - "2023-09-06 14:49:04,574\tINFO tune.py:1141 -- Total run time: 136.19 seconds (136.17 seconds for the tuning loop).\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m \n" + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/tune_transformers/TorchTrainer_4776a_00001_1_learning_rate=0.0002_2025-07-09_15-58-50/checkpoint_000003)\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Registered dataset logger for dataset eval_30_3\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Starting execution of Dataset eval_30_3. Full logs are in /tmp/ray/session_2025-07-09_15-09-59_163606_3385/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m Execution plan of Dataset eval_30_3: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadParquet] -> OutputSplitter[split(1, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=57741)\u001b[0m {'train_runtime': 117.6791, 'train_samples_per_second': 290.417, 'train_steps_per_second': 18.151, 'train_loss': 0.3468295286657212, 'epoch': 3.25}\n" + "\u001b[36m(RayTrainWorker pid=42936)\u001b[0m {'train_runtime': 129.007, 'train_samples_per_second': 264.916, 'train_steps_per_second': 16.557, 'train_loss': 0.6116742623432745, 'epoch': 3.25}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=43293)\u001b[0m ✔️ Dataset eval_30_3 execution finished in 1.46 seconds\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "2025-07-09 16:01:22,622\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", + "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", + "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", + "2025-07-09 16:01:22,626\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/home/ray/ray_results/tune_transformers' in 0.0024s.\n", + "2025-07-09 16:01:22,631\tINFO tune.py:1041 -- Total run time: 151.83 seconds (151.81 seconds for the tuning loop).\n" ] } ], @@ -1752,7 +2781,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1787,13 +2816,13 @@ " eval_steps_per_second\n", " timestamp\n", " ...\n", + " time_this_iter_s\n", " time_total_s\n", " pid\n", " hostname\n", " node_ip\n", " time_since_restore\n", " iterations_since_restore\n", - " checkpoint_dir_name\n", " config/train_loop_config/learning_rate\n", " config/train_loop_config/epochs\n", " logdir\n", @@ -1801,100 +2830,100 @@ " \n", " \n", " \n", - " 1\n", - " 0.6160\n", - " 0.000150\n", + " 2\n", + " 0.6338\n", + " 0.001499\n", " 0.25\n", " 535\n", - " 0.618135\n", + " 0.618490\n", " 0.000000\n", - " 0.7543\n", - " 1382.828\n", - " 87.504\n", - " 1694036857\n", + " 1.5122\n", + " 689.707\n", + " 43.644\n", + " 1752101984\n", " ...\n", - " 41.248600\n", - " 57497\n", - " ip-10-0-27-125\n", - " 10.0.27.125\n", - " 41.248600\n", + " 45.334411\n", + " 45.334411\n", + " 42554\n", + " ip-10-0-114-132\n", + " 10.0.114.132\n", + " 45.334411\n", " 1\n", - " checkpoint_000000\n", - " 0.00020\n", + " 0.00200\n", " 4\n", - " e1825_00001\n", + " 4776a_00002\n", " \n", " \n", - " 2\n", - " 0.6699\n", - " 0.001499\n", + " 3\n", + " 1.0524\n", + " 0.014991\n", " 0.25\n", " 535\n", - " 0.619657\n", + " 0.618516\n", " 0.000000\n", - " 0.7449\n", - " 1400.202\n", - " 88.603\n", - " 1694036856\n", + " 1.5102\n", + " 690.648\n", + " 43.704\n", + " 1752101983\n", " ...\n", - " 41.133609\n", - " 57498\n", - " ip-10-0-27-125\n", - " 10.0.27.125\n", - " 41.133609\n", + " 44.326816\n", + " 44.326816\n", + " 42557\n", + " ip-10-0-114-132\n", + " 10.0.114.132\n", + " 44.326816\n", " 1\n", - " checkpoint_000000\n", - " 0.00200\n", + " 0.02000\n", " 4\n", - " e1825_00002\n", + " 4776a_00003\n", " \n", " \n", - " 3\n", - " 0.6073\n", + " 1\n", + " 0.6062\n", " 0.000000\n", " 3.25\n", " 2136\n", - " 0.619694\n", + " 0.628866\n", " 0.000000\n", - " 0.6329\n", - " 1648.039\n", - " 104.286\n", - " 1694036942\n", + " 1.5236\n", + " 684.579\n", + " 43.319\n", + " 1752102079\n", " ...\n", - " 126.699238\n", - " 57499\n", - " ip-10-0-27-125\n", - " 10.0.27.125\n", - " 126.699238\n", + " 31.721999\n", + " 140.012268\n", + " 42555\n", + " ip-10-0-114-132\n", + " 10.0.114.132\n", + " 140.012268\n", " 4\n", - " checkpoint_000003\n", - " 0.02000\n", + " 0.00020\n", " 4\n", - " e1825_00003\n", + " 4776a_00001\n", " \n", " \n", " 0\n", - " 0.1934\n", + " 0.1999\n", " 0.000000\n", " 3.25\n", " 2136\n", - " 0.747960\n", - " 0.520756\n", - " 0.6530\n", - " 1597.187\n", - " 101.068\n", - " 1694036944\n", + " 0.736353\n", + " 0.536455\n", + " 1.5675\n", + " 665.375\n", + " 42.104\n", + " 1752102082\n", " ...\n", - " 128.443495\n", - " 57496\n", - " ip-10-0-27-125\n", - " 10.0.27.125\n", - " 128.443495\n", + " 32.129375\n", + " 142.983678\n", + " 42556\n", + " ip-10-0-114-132\n", + " 10.0.114.132\n", + " 142.983678\n", " 4\n", - " checkpoint_000003\n", " 0.00002\n", " 4\n", - " e1825_00000\n", + " 4776a_00000\n", " \n", " \n", "\n", @@ -1903,45 +2932,45 @@ ], "text/plain": [ " loss learning_rate epoch step eval_loss eval_matthews_correlation \\\n", - "1 0.6160 0.000150 0.25 535 0.618135 0.000000 \n", - "2 0.6699 0.001499 0.25 535 0.619657 0.000000 \n", - "3 0.6073 0.000000 3.25 2136 0.619694 0.000000 \n", - "0 0.1934 0.000000 3.25 2136 0.747960 0.520756 \n", + "2 0.6338 0.001499 0.25 535 0.618490 0.000000 \n", + "3 1.0524 0.014991 0.25 535 0.618516 0.000000 \n", + "1 0.6062 0.000000 3.25 2136 0.628866 0.000000 \n", + "0 0.1999 0.000000 3.25 2136 0.736353 0.536455 \n", "\n", " eval_runtime eval_samples_per_second eval_steps_per_second timestamp \\\n", - "1 0.7543 1382.828 87.504 1694036857 \n", - "2 0.7449 1400.202 88.603 1694036856 \n", - "3 0.6329 1648.039 104.286 1694036942 \n", - "0 0.6530 1597.187 101.068 1694036944 \n", + "2 1.5122 689.707 43.644 1752101984 \n", + "3 1.5102 690.648 43.704 1752101983 \n", + "1 1.5236 684.579 43.319 1752102079 \n", + "0 1.5675 665.375 42.104 1752102082 \n", "\n", - " ... time_total_s pid hostname node_ip time_since_restore \\\n", - "1 ... 41.248600 57497 ip-10-0-27-125 10.0.27.125 41.248600 \n", - "2 ... 41.133609 57498 ip-10-0-27-125 10.0.27.125 41.133609 \n", - "3 ... 126.699238 57499 ip-10-0-27-125 10.0.27.125 126.699238 \n", - "0 ... 128.443495 57496 ip-10-0-27-125 10.0.27.125 128.443495 \n", + " ... time_this_iter_s time_total_s pid hostname node_ip \\\n", + "2 ... 45.334411 45.334411 42554 ip-10-0-114-132 10.0.114.132 \n", + "3 ... 44.326816 44.326816 42557 ip-10-0-114-132 10.0.114.132 \n", + "1 ... 31.721999 140.012268 42555 ip-10-0-114-132 10.0.114.132 \n", + "0 ... 32.129375 142.983678 42556 ip-10-0-114-132 10.0.114.132 \n", "\n", - " iterations_since_restore checkpoint_dir_name \\\n", - "1 1 checkpoint_000000 \n", - "2 1 checkpoint_000000 \n", - "3 4 checkpoint_000003 \n", - "0 4 checkpoint_000003 \n", + " time_since_restore iterations_since_restore \\\n", + "2 45.334411 1 \n", + "3 44.326816 1 \n", + "1 140.012268 4 \n", + "0 142.983678 4 \n", "\n", - " config/train_loop_config/learning_rate config/train_loop_config/epochs \\\n", - "1 0.00020 4 \n", - "2 0.00200 4 \n", - "3 0.02000 4 \n", - "0 0.00002 4 \n", + " config/train_loop_config/learning_rate config/train_loop_config/epochs \\\n", + "2 0.00200 4 \n", + "3 0.02000 4 \n", + "1 0.00020 4 \n", + "0 0.00002 4 \n", "\n", " logdir \n", - "1 e1825_00001 \n", - "2 e1825_00002 \n", - "3 e1825_00003 \n", - "0 e1825_00000 \n", + "2 4776a_00002 \n", + "3 4776a_00003 \n", + "1 4776a_00001 \n", + "0 4776a_00000 \n", "\n", "[4 rows x 26 columns]" ] }, - "execution_count": 25, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1952,9 +2981,17 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=42930)\u001b[0m {'train_runtime': 131.5118, 'train_samples_per_second': 259.87, 'train_steps_per_second': 16.242, 'train_loss': 0.35124670521596846, 'epoch': 3.25}\n" + ] + } + ], "source": [ "best_result = tune_results.get_best_result()" ] @@ -1982,7 +3019,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": { "id": "2LClXkN8hYbb", "tags": [ @@ -2030,7 +3067,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": { "id": "cjH2A8m6hYbc", "tags": [] @@ -2111,7 +3148,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -2125,14 +3162,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.8" + "version": "3.9.23" }, - "orphan": true, - "vscode": { - "interpreter": { - "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" - } - } + "orphan": true }, "nbformat": 4, "nbformat_minor": 4 diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 563aa826d86a..79e89b86af22 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -7,8 +7,10 @@ import pandas as pd import pyarrow as pa import pytest +from packaging.version import parse as parse_version import ray +from ray._private.arrow_utils import get_pyarrow_version from ray.data._internal.datasource.parquet_datasink import ParquetDatasink from ray.data._internal.execution.interfaces.op_runtime_metrics import OpRuntimeMetrics from ray.data._internal.execution.operators.base_physical_operator import ( @@ -61,6 +63,24 @@ from ray.tests.conftest import * # noqa +def _should_skip_huggingface_test(): + """Check if we should skip the HuggingFace test due to version incompatibility.""" + pyarrow_version = get_pyarrow_version() + if pyarrow_version is None: + return False + + try: + datasets_version = __import__("datasets").__version__ + if datasets_version is None: + return False + + return pyarrow_version < parse_version("12.0.0") and parse_version( + datasets_version + ) >= parse_version("3.0.0") + except (ImportError, AttributeError): + return False + + def _check_valid_plan_and_result( ds, expected_plan, @@ -937,6 +957,10 @@ def test_from_arrow_refs_e2e(ray_start_regular_shared_2_cpus): _check_usage_record(["FromArrow"]) +@pytest.mark.skipif( + _should_skip_huggingface_test, + reason="Skip due to HuggingFace datasets >= 3.0.0 requiring pyarrow >= 12.0.0", +) def test_from_huggingface_e2e(ray_start_regular_shared_2_cpus): import datasets diff --git a/python/requirements/ml/data-test-requirements.txt b/python/requirements/ml/data-test-requirements.txt index 0afad966afb1..61e7dd477850 100644 --- a/python/requirements/ml/data-test-requirements.txt +++ b/python/requirements/ml/data-test-requirements.txt @@ -3,7 +3,7 @@ python-snappy tensorflow-datasets==4.9.3 -datasets +datasets>=3.0.2 pytest-repeat soundfile fastavro diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index e3c8984d1eef..862227357082 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -61,7 +61,7 @@ pytest-mock==3.14.0 redis==4.4.2 scikit-learn==1.3.2 smart_open[s3]==6.2.0 -tqdm==4.64.1 +tqdm==4.67.1 trustme==0.9.0 testfixtures==7.0.0 uvicorn==0.22.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 691bc8b6d2e1..ef821cbc26d5 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -52,7 +52,6 @@ aiohttp==3.11.16 # -r python/requirements/test-requirements.txt # aiobotocore # aiohttp-cors - # datasets # delta-sharing # fsspec # google-auth @@ -381,7 +380,7 @@ dask==2023.6.1 ; python_version < "3.12" # distributed databricks-sdk==0.52.0 # via mlflow-skinny -datasets==2.19.1 +datasets==3.6.0 # via # -r python/requirements/ml/data-test-requirements.txt # -r python/requirements/ml/train-requirements.txt @@ -1237,7 +1236,6 @@ numpy==1.26.4 # patsy # pettingzoo # prophet - # pyarrow # pylance # pymars # pyro-ppl @@ -1546,7 +1544,7 @@ py-spy==0.4.0 ; python_version < "3.12" # via -r python/requirements.txt py4j==0.10.9.7 # via pyspark -pyarrow==14.0.2 +pyarrow==19.0.1 # via # -r python/requirements.txt # dask @@ -1561,9 +1559,7 @@ pyarrow==14.0.2 # raydp # triad pyarrow-hotfix==0.7 - # via - # datasets - # hudi + # via hudi pyasn1==0.5.1 # via # oauth2client @@ -2270,7 +2266,7 @@ tornado==6.1 ; python_version < "3.12" # notebook # pymars # terminado -tqdm==4.64.1 +tqdm==4.67.1 # via # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 42fd7524ee6c..e5cc25e655b8 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1641,7 +1641,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2066,43 +2065,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt @@ -3147,9 +3152,9 @@ torchvision==0.22.0+cpu \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # gguf diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 47b6599da143..86efc774460c 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1641,7 +1641,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2182,43 +2181,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt @@ -3292,9 +3297,9 @@ torchvision==0.22.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # gguf diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index ea508c0155a3..cee934f3094c 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1605,7 +1605,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2106,43 +2105,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt @@ -3186,8 +3191,9 @@ torchvision==0.22.0+cu128 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -tqdm==4.64.1 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # gguf diff --git a/release/ray_release/byod/byod_dolly_test.sh b/release/ray_release/byod/byod_dolly_test.sh index eecb5ec444d6..77dc2a90e96a 100755 --- a/release/ray_release/byod/byod_dolly_test.sh +++ b/release/ray_release/byod/byod_dolly_test.sh @@ -9,5 +9,4 @@ pip3 install -c "$HOME/requirements_compiled.txt" myst-parser myst-nb pip3 uninstall -y pytorch-lightning pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 -# TODO(matthewdeng): upgrade datasets globally -pip3 install lightning==2.0.3 datasets==3.6.0 +pip3 install lightning==2.0.3 diff --git a/release/ray_release/byod/byod_gptj_test.sh b/release/ray_release/byod/byod_gptj_test.sh index d1c74fde1be8..65c7b3054c9d 100755 --- a/release/ray_release/byod/byod_gptj_test.sh +++ b/release/ray_release/byod/byod_gptj_test.sh @@ -3,6 +3,3 @@ set -exo pipefail pip3 install -c "$HOME/requirements_compiled.txt" myst-parser myst-nb - -# TODO(matthewdeng): upgrade datasets globally -pip3 install datasets==3.6.0 diff --git a/release/ray_release/byod/byod_vicuna_test.sh b/release/ray_release/byod/byod_vicuna_test.sh index d920fba8e28e..ff915364b366 100755 --- a/release/ray_release/byod/byod_vicuna_test.sh +++ b/release/ray_release/byod/byod_vicuna_test.sh @@ -17,5 +17,4 @@ pip3 install -c "$HOME/requirements_compiled.txt" myst-parser myst-nb pip3 uninstall -y pytorch-lightning pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 -# TODO(matthewdeng): upgrade datasets globally -pip3 install lightning==2.0.3 datasets==3.6.0 +pip3 install lightning==2.0.3 diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 7c55c311d529..7a28fcc4d03c 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -1779,7 +1779,6 @@ numpy==1.26.4 \ # opt-einsum # pandas # petastorm - # pyarrow # scikit-learn # scipy # tensorboard @@ -2031,43 +2030,49 @@ py4j==0.10.9.7 \ # via # -c release/ray_release/byod/requirements_compiled.txt # pyspark -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in @@ -2811,9 +2816,9 @@ tornado==6.1 ; python_version < "3.12" \ # via # -c release/ray_release/byod/requirements_compiled.txt # terminado -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index 705e940bdc18..b97cded99dad 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -118,7 +118,6 @@ aiohttp==3.11.16 \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via # -c release/ray_release/byod/requirements_compiled.txt - # datasets # fsspec # gcsfs # google-auth @@ -707,9 +706,9 @@ dataproperty==1.0.1 \ # via # pytablewriter # tabledata -datasets==2.19.1 \ - --hash=sha256:0df9ef6c5e9138cdb996a07385220109ff203c204245578b69cca905eb151d3a \ - --hash=sha256:f7a78d15896f45004ccac1c298f3c7121f92f91f6f2bfbd4e4f210f827e6e411 +datasets==3.6.0 \ + --hash=sha256:1b2bf43b19776e2787e181cfd329cb0ca1a358ea014780c3581e0f276375e041 \ + --hash=sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in @@ -2259,7 +2258,6 @@ numpy==1.26.4 \ # patsy # peft # petastorm - # pyarrow # pytorch-lightning # rouge-score # sacrebleu @@ -2689,55 +2687,55 @@ py4j==0.10.9.7 \ # via # -c release/ray_release/byod/requirements_compiled.txt # pyspark -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in # datasets # petastorm # triad -pyarrow-hotfix==0.7 \ - --hash=sha256:79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945 \ - --hash=sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178 - # via - # -c release/ray_release/byod/requirements_compiled.txt - # datasets pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c @@ -4330,9 +4328,9 @@ torchtext==0.18.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in From 33fc50644e45d75f2bb1c75c39eea508b6c1c637 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Tue, 15 Jul 2025 14:51:47 +0200 Subject: [PATCH 0204/1566] [RLlib; docs] Docs do-over (new API stack): `ConnectorV2` documentation (part I). (#53732) Signed-off-by: Douglas Strodtman --- doc/source/rllib/connector-v2.rst | 115 ++++ doc/source/rllib/env-to-module-connector.rst | 558 ++++++++++++++++++ .../images/connector_v2/connector_generic.svg | 1 + ...ustom_pieces_in_env_to_module_pipeline.svg | 1 + .../env_runner_connector_pipelines.svg | 1 + .../connector_v2/env_to_module_connector.svg | 1 + .../generic_connector_pipeline.svg | 1 + .../images/connector_v2/learner_connector.svg | 1 + .../learner_connector_pipeline.svg | 1 + ...cation_of_connector_pipelines_in_rllib.svg | 1 + .../connector_v2/module_to_env_connector.svg | 1 + .../rllib/images/debugging_rllib_in_ide.png | Bin 0 -> 252311 bytes doc/source/rllib/package_ref/connector-v2.rst | 48 ++ doc/source/rllib/package_ref/index.rst | 1 + doc/source/rllib/single-agent-episode.rst | 8 +- doc/source/rllib/user-guides.rst | 9 + rllib/algorithms/algorithm_config.py | 48 +- .../add_states_from_episodes_to_batch.py | 6 +- .../add_time_dim_to_batch_and_zero_pad.py | 6 +- rllib/connectors/common/numpy_to_tensor.py | 29 +- rllib/connectors/connector_v2.py | 4 +- .../multi_agent_observation_preprocessor.py | 4 +- 22 files changed, 805 insertions(+), 40 deletions(-) create mode 100644 doc/source/rllib/connector-v2.rst create mode 100644 doc/source/rllib/env-to-module-connector.rst create mode 100644 doc/source/rllib/images/connector_v2/connector_generic.svg create mode 100644 doc/source/rllib/images/connector_v2/custom_pieces_in_env_to_module_pipeline.svg create mode 100644 doc/source/rllib/images/connector_v2/env_runner_connector_pipelines.svg create mode 100644 doc/source/rllib/images/connector_v2/env_to_module_connector.svg create mode 100644 doc/source/rllib/images/connector_v2/generic_connector_pipeline.svg create mode 100644 doc/source/rllib/images/connector_v2/learner_connector.svg create mode 100644 doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg create mode 100644 doc/source/rllib/images/connector_v2/location_of_connector_pipelines_in_rllib.svg create mode 100644 doc/source/rllib/images/connector_v2/module_to_env_connector.svg create mode 100644 doc/source/rllib/images/debugging_rllib_in_ide.png create mode 100644 doc/source/rllib/package_ref/connector-v2.rst diff --git a/doc/source/rllib/connector-v2.rst b/doc/source/rllib/connector-v2.rst new file mode 100644 index 000000000000..d41459a8dda5 --- /dev/null +++ b/doc/source/rllib/connector-v2.rst @@ -0,0 +1,115 @@ +.. include:: /_includes/rllib/we_are_hiring.rst + +.. _connector-v2-docs: + +ConnectorV2 and ConnectorV2 pipelines +===================================== + +.. toctree:: + :hidden: + + env-to-module-connector + +.. include:: /_includes/rllib/new_api_stack.rst + +.. grid:: 1 2 3 4 + :gutter: 1 + :class-container: container pb-3 + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/connector_generic.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: connector-v2-docs + + ConnectorV2 overview (this page) + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/env_to_module_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: env-to-module-pipeline-docs + + Env-to-module pipelines + + +RLlib stores and transports all trajectory data in the form of :py:class:`~ray.rllib.env.single_agent_episode.SingleAgentEpisode` +or :py:class:`~ray.rllib.env.multi_agent_episode.MultiAgentEpisode` objects. +**Connector pipelines** are the components that translate this episode data into tensor batches +readable by neural network models right before the model forward pass. + +.. figure:: images/connector_v2/generic_connector_pipeline.svg + :width: 1000 + :align: left + + **Generic ConnectorV2 Pipeline**: All pipelines consist of one or more :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces. + When calling the pipeline, you pass in a list of Episodes, the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` instance, + and a batch, which initially might be an empty dict. + Each :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece in the pipeline takes its predecessor's output, + starting on the left side with the batch, performs some transformations on the episodes, the batch, or both, and passes everything + on to the next piece. Thereby, all :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces can read from and write to the + provided episodes, add any data from these episodes to the batch, or change the data that's already in the batch. + The pipeline then returns the output batch of the last piece. + +.. note:: + Note that the batch output of the pipeline lives only as long as the succeeding + :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` forward pass or `Env.step()` call. RLlib discards the data afterwards. + The list of episodes, however, may persist longer. For example, if a env-to-module pipeline reads an observation from an episode, + mutates that observation, and then writes it back into the episode, the subsequent module-to-env pipeline is able to see the changed observation. + Also, the Learner pipeline operates on the same episodes that have already passed through both env-to-module and module-to-env pipelines + and thus might have undergone changes. + + +Three ConnectorV2 pipeline types +-------------------------------- + +There are three different types of connector pipelines in RLlib: + +1) :ref:`Env-to-module pipeline `, which creates tensor batches for action computing forward passes. +2) Module-to-env pipeline, which translates a model's output into RL environment actions. +3) Learner connector pipeline, which creates the train batch for a model update. + +The :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` API is an extremely powerful tool for +customizing your RLlib experiments and algorithms. It allows you to take full control over accessing, changing, and re-assembling +the episode data collected from your RL environments or your offline RL input files as well as controlling the exact +nature and shape of the tensor batches that RLlib feeds into your models for computing actions or losses. + +.. figure:: images/connector_v2/location_of_connector_pipelines_in_rllib.svg + :width: 900 + :align: left + + **ConnectorV2 Pipelines**: Connector pipelines convert episodes into batched data, which your model can process + (env-to-module and Learner) or convert your model's output into action batches, which your possibly vectorized RL environment needs for + stepping (module-to-env). + The env-to-module pipeline, located on an :py:class:`~ray.rllib.env.env_runner.EnvRunner`, takes a list of + episodes as input and outputs a batch for an :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` forward pass + that computes the next action. The module-to-env pipeline on the same :py:class:`~ray.rllib.env.env_runner.EnvRunner` + takes the output of that :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` and converts it into actions + for the next call to your RL environment's `step()` method. + Lastly, a Learner connector pipeline, located on a :py:class:`~ray.rllib.core.learner.learner.Learner` + worker, converts a list of episodes into a train batch for the next :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` update. + +The succeeding pages discuss the three pipeline types in more detail, however, all three have in common: + +* All connector pipelines are sequences of one or more :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces. You can nest these as well, meaning some of the pieces may be connector pipelines themselves. +* All connector pieces and -pipelines are Python callables, overriding the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method. +* The call signatures are uniform across the different pipeline types. The main, mandatory arguments are the list of episodes, the batch to-be-built, and the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` instance. See the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method for more details. +* All connector pipelines can read from and write to the provided list of episodes as well as the batch and thereby perform data transforms as required. + + + + + +.. Debugging ConnectorV2 Pipelines +.. =============================== + +.. TODO (sven): Move the following to the "how to contribute to RLlib" page and rename that page "how to develop, debug and contribute to RLlib?" + +.. You can debug your custom ConnectorV2 pipelines (and any RLlib component in general) through the following simple steps: + +.. Run without any remote :py:class:`~ray.rllib.env.env_runner.EnvRunner` workers. After defining your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` object, do: `config.env_runners(num_env_runners=0)`. +.. Run without any remote :py:class:`~ray.rllib.core.learner.learner.Learner` workers. After defining your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` object, do: `config.learners(num_learners=0)`. +.. Switch off Ray Tune, if applicable. After defining your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` object, do: `algo = config.build()`, then `while True: algo.train()`. +.. Set a breakpoint in the ConnectorV2 piece (or any other RLlib component) you would like to debug and start the experiment script in your favorite IDE in debugging mode. + +.. .. figure:: images/debugging_rllib_in_ide.png diff --git a/doc/source/rllib/env-to-module-connector.rst b/doc/source/rllib/env-to-module-connector.rst new file mode 100644 index 000000000000..f804716c4ec0 --- /dev/null +++ b/doc/source/rllib/env-to-module-connector.rst @@ -0,0 +1,558 @@ +.. include:: /_includes/rllib/we_are_hiring.rst + +.. include:: /_includes/rllib/new_api_stack.rst + + +.. _env-to-module-pipeline-docs: + +Env-to-module pipelines +======================= + +One env-to-module pipeline resides on each :py:class:`~ray.rllib.env.env_runner.EnvRunner` and is responsible +for handling the data flow from the `gymnasium.Env `__ to +the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. + +.. figure:: images/connector_v2/env_runner_connector_pipelines.svg + :width: 1000 + :align: left + + **EnvRunner ConnectorV2 Pipelines**: Both env-to-module and module-to-env pipelines are located on the :py:class:`~ray.rllib.env.env_runner.EnvRunner` + workers. The env-to-module pipeline sits between the RL environment, a `gymnasium.Env `__, and the + :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, and translates ongoing episodes into batches for the model's `forward_...()` methods. + +.. The module-to-env pipeline serves the other direction, converting the output of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, such as action logits and action distribution parameters, to actual actions understandable by the `gymnasium.Env `__ and used in the env's next `step()` call. + +The env-to-module pipeline, when called, performs transformations from a list of ongoing :ref:`Episode objects ` to an +RLModule-readable tensor batch and RLlib passes this generated batch as the first argument into the +:py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_inference` or :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_exploration` +methods of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, depending on your exploration settings. + +.. hint:: + + Set `config.exploration(explore=True)` in your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` to have RLlib call the + :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_exploration` method with the connector's output. + Otherwise, RLlib calls :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_inference`. + Note also that normally these two methods only differ in that actions are sampled when ``explore=True`` and + greedily picked when ``explore=False``. However, the exact behavior in each case depends on your :ref:`RLModule's implementation `. + + +.. _default-env-to-module-pipeline: + +Default env-to-module behavior +------------------------------ + +By default RLlib populates an env-to-module pipeline with the following built-in connector pieces. + +* :py:class:`~ray.rllib.connectors.common.add_observations_from_episodes_to_batch.AddObservationsFromEpisodesToBatch`: Places the most recent observation from each ongoing episode into the batch. The column name is ``obs``. Note that if you have a vector of ``N`` environments per :py:class:`~ray.rllib.env.env_runner.EnvRunner`, your batch size is also ``N``. +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is a stateful one, adds a single timestep, second axis to all data to make it sequential. +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is a stateful one, places the most recent state outputs of the module as new state inputs into the batch. The column name is ``state_in``. +* *For multi-agent only:* :py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping`: Maps per-agent data to the respective per-module data depending on your defined agent-to-module mapping function. +* :py:class:`~ray.rllib.connectors.common.batch_individual_items.BatchIndividualItems`: Converts all data in the batch, which thus far are lists of individual items, into batched structures meaning NumPy arrays, whose 0th axis is the batch axis. +* :py:class:`~ray.rllib.connectors.common.numpy_to_tensor.NumpyToTensor`: Converts all NumPy arrays in the batch into framework specific tensors and moves these to the GPU, if required. + +You can disable the preceding default connector pieces by setting `config.env_runners(add_default_connectors_to_env_to_module_pipeline=False)` +in your :ref:`algorithm config `. + +Note that the order of these transforms is very relevant for the functionality of the pipeline. +See :ref:`here on how to write and add your own connector pieces ` to the pipeline. + + +Constructing an env-to-module connector +--------------------------------------- + +Normally, you wouldn't have to construct the env-to-module connector pipeline yourself. RLlib's :py:class:`~ray.rllib.env.env_runner.EnvRunner` +actors initially perform this operation. However, if you would like to test or debug either the default pipeline or a custom one, +use the following code snippet as a starting point: + +.. testcode:: + + import gymnasium as gym + + from ray.rllib.algorithms.ppo import PPOConfig + from ray.rllib.env.single_agent_episode import SingleAgentEpisode + + # Start with an algorithm config. + config = ( + PPOConfig() + .environment("CartPole-v1") + ) + # Create an env to generate some episode data. + env = gym.make("CartPole-v1") + + # Build the env-to-module connector through the config object. + env_to_module = config.build_env_to_module_connector(env=env, spaces=None) + + +Alternatively, in case there is no ``env`` object available, you should pass in the ``spaces`` argument instead. +RLlib requires these pieces of information to compute the correct output observation space, so that the +:py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` can receive the correct space for its own setup procedure. + +:ref:`See here for the expected format of the spaces arg `. + +.. testcode:: + + # No `env` available? Use `spaces` instead: + env_to_module = config.build_env_to_module_connector( + env=None, + spaces={ + # At minimum, pass in a 2-tuple of the single, non-vectorized + # observation- and action spaces: + "__env_single__": (env.observation_space, env.action_space), + }, + ) + +To test the actual behavior or the created pipeline, look at these code snippets +for stateless- and stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` cases: + +.. tab-set:: + + .. tab-item:: Stateless RLModule + + .. testcode:: + + from ray.rllib.env.single_agent_episode import SingleAgentEpisode + + # Create two SingleAgentEpisode instances. You pass these to the connector pipeline + # as input. + episode1 = SingleAgentEpisode() + episode2 = SingleAgentEpisode() + + # Fill episodes with some data, as if we were currently stepping through them + # to collect samples. + # - episode 1 (two timesteps) + obs, _ = env.reset() + episode1.add_env_reset(observation=obs) + action = 0 + obs, _, _, _, _ = env.step(action) + episode1.add_env_step(observation=obs, action=action, reward=1.0) + # - episode 2 (just do one timestep) + obs, _ = env.reset() + episode2.add_env_reset(observation=obs) + + # Call the connector on the two running episodes. + batch = {} + batch = env_to_module( + episodes=[episode1, episode2], + batch=batch, + rl_module=None, # in stateless case, RLModule is not strictly required + explore=True, + ) + # Print out the resulting batch. + print(batch) + + + .. tab-item:: Stateful RLModule (RNN) + + .. testcode:: + + from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig + from ray.rllib.env.single_agent_episode import SingleAgentEpisode + + # Alter the config to use the default LSTM model of RLlib. + config.rl_module(model_config=DefaultModelConfig(use_lstm=True)) + + # For stateful RLModules, we do need to pass in the RLModule to every call to the + # connector. so construct an instance here. + rl_module_spec = config.get_rl_module_spec(env=env) + rl_module = rl_module_spec.build() + + # Create a SingleAgentEpisode instance. You pass this to the connector pipeline + # as input. + episode = SingleAgentEpisode() + + # Initialize episode with first (reset) observation. + obs, _ = env.reset() + episode.add_env_reset(observation=obs) + + # Call the connector on the running episode. + batch = {} + batch = env_to_module( + episodes=[episode], + batch=batch, + rl_module=rl_module, # in stateful case, RLModule is required + explore=True, + ) + # Print out the resulting batch. + print(batch) + + + +You can see that the pipeline extracted the current observations from the two +running episodes and placed them under the ``obs`` column into the forward batch. +The batch has a size of 2, because we had 2 episodes, and should look similar to this: + +.. code-block:: text + + {'obs': tensor([[ 0.0212, -0.1996, -0.0414, 0.2848], + [ 0.0292, 0.0259, -0.0322, -0.0004]])} + +In the stateful case, you can also expect the ``STATE_IN`` columns to be present. +Note that because of the LSTM layer, the internal state of the module consists of two components, ``c`` and ``h``: + +.. code-block:: text + + { + 'obs': tensor( + [[ 0.0212, -0.1996, -0.0414, 0.2848], + [ 0.0292, 0.0259, -0.0322, -0.0004]] + ), + 'state_in': { + # Note: The shape of each state tensor here is + # (B=2, [num LSTM-layers=1], [LSTM cell size]). + 'h': tensor([[[0., 0., .., 0.]]]), + 'c': tensor([[[0., 0., ... 0.]]]), + }, + } + +.. hint:: + + You are free to design the internal states of your custom :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` classes + however you like. You only need to override the :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.get_initial_state` method and make sure + you return a new state of any nested structure and shape from your `forward_..()` methods under the fixed ``state_out`` key. + See `here for an example `__ + of an RLModule class with a custom LSTM layer in it. + + +.. _writing_custom_env_to_module_connectors: + +Writing custom env-to-module connectors +--------------------------------------- + +You can customize the default env-to-module pipeline that RLlib creates through specifying a function in your +:py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig`, which takes an optional RL environment object (`env`) and an optional `spaces` +dictionary as input arguments and returns a single :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece or a list thereof. +RLlib prepends the provided :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` instances to the +:ref:`default env-to-module pipeline ` in the order returned, +unless you set `add_default_connectors_to_env_to_module_pipeline=False` in your config, in which case RLlib exclusively uses the provided +:py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces without any automatically added default behavior. + +.. _env-to-module-connectors-structure-of-spaces-arg: + +Note that RLlib expects the structure of the `spaces` argument to be: + +.. code-block:: python + + spaces = { + "__env__": ([env observation space], [env action space]), # <- may be vectorized + "__env_single__": ([env observation space], [env action space]), # <- never vectorized! + "[module ID, e.g. 'default_policy']": ([module observation space], [module action space]), + ... # <- more modules in multi-agent case + } + +For example, to prepend a custom ConnectorV2 piece to the env-to-module pipeline, you can do this in your config: + +.. testcode:: + :skipif: True + + # Your builder function must accept an optional `gymnasium.Env` and an optional `spaces` dict + # as arguments. + config.env_runners( + env_to_module_connector=lambda env, spaces, device: MyEnvToModuleConnector(..), + ) + + +If you want to add multiple custom pieces to the pipeline, return them as a list: + +.. testcode:: + :skipif: True + + # Return a list of connector pieces to make RLlib add all of them to your + # env-to-module pipeline. + config.env_runners( + env_to_module_connector=lambda env, spaces, device: [ + MyEnvToModuleConnector(..), + MyOtherEnvToModuleConnector(..), + AndOneMoreConnector(..), + ], + ) + +RLlib adds the connector pieces returned by your function to the beginning of the env-to-module pipeline, +before the previously described default connector pieces that RLlib provides automatically: + + +.. figure:: images/connector_v2/custom_pieces_in_env_to_module_pipeline.svg + :width: 1000 + :align: left + + **Inserting custom ConnectorV2 pieces into the env-to-module pipeline**: RLlib inserts custom connector pieces, such + as observation preprocessors, before the default pieces. This way, if your custom connectors alter the input episodes + in any way, for example by changing the observations as in an :ref:`ObservationPreprocessor `, + the tailing default pieces automatically add these changed observations to the batch. + + +.. _observation-preprocessors: + +Observation preprocessors +~~~~~~~~~~~~~~~~~~~~~~~~~ + +The simplest way of customizing an env-to-module pipeline is to write your own +:py:class:`~ray.rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor` subclass, implement two methods, +and point your config to the new class: + +.. testcode:: + + import gymnasium as gym + import numpy as np + + from ray.rllib.connectors.env_to_module.observation_preprocessor import SingleAgentObservationPreprocessor + + + class IntObservationToOneHotTensor(SingleAgentObservationPreprocessor): + """Converts int observations (Discrete) into one-hot tensors (Box).""" + + def recompute_output_observation_space(self, in_obs_space, in_act_space): + # Based on the input observation space, either from the preceding connector piece or + # directly from the environment, return the output observation space of this connector + # piece. + # Implementing this method is crucial for the pipeline to know its output + # spaces, which are an important piece of information to construct the succeeding + # RLModule. + return gym.spaces.Box(0.0, 1.0, (in_obs_space.n,), np.float32) + + def preprocess(self, observation, episode): + # Convert an input observation (int) into a one-hot (float) tensor. + # Note that 99% of all connectors in RLlib operate on NumPy arrays. + new_obs = np.zeros(shape=self.observation_space.shape, dtype=np.float32) + new_obs[observation] = 1.0 + return new_obs + + +Note that any observation preprocessor actually changes the underlying episodes object in place, but and doesn't contribute anything to +the batch under construction. Because RLlib always inserts any user defined preprocessor (and other custom +:py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` +pieces) before the default pieces, the :py:class:`~ray.rllib.connectors.common.add_observations_from_episodes_to_batch.AddObservationsFromEpisodesToBatch` +default piece then automatically takes care of adding the preprocessed and updated observation from the episode to the batch: + +Now you can use the custom preprocessor in environments with integer observations, for example the +`FrozenLake `__ RL environment: + + +.. testcode:: + + from ray.rllib.algorithms.ppo import PPOConfig + + config = ( + PPOConfig() + + # Configure a simple 2x2 grid-world. + # ____ + # |S | <- S=start position + # | G| <- G=goal position + # ---- + .environment("FrozenLake-v1", env_config={"desc": ["SF", "FG"]}) + + # Plug your custom connector piece into the env-to-module pipeline. + .env_runners( + env_to_module_connector=( + lambda env, spaces, device: IntObservationToOneHotTensor() + ), + ) + ) + algo = config.build() + # Train one iteration. + print(algo.train()) + + +.. _observation-preprocessors-adding-rewards-to-obs: + +Adding recent rewards to the batch +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Assume you wrote a custom :ref:`RLModule ` that requires the last three received +rewards as input in the calls to any of its `forward_..()` methods. + +You can use the same :py:class:`~ray.rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor` +API to achieve this. + +In the following example, you extract the last three rewards from the ongoing episode and concatenate +them with the observation to form a new observation tensor. +Note that you also have to change the observation space returned by the connector, since +there are now three more values in each observation: + + +.. testcode:: + + import gymnasium as gym + import numpy as np + + from ray.rllib.connectors.env_to_module.observation_preprocessor import SingleAgentObservationPreprocessor + + + class AddPast3Rewards(SingleAgentObservationPreprocessor): + """Extracts last 3 rewards from episode and concatenates them to the observation tensor.""" + + def recompute_output_observation_space(self, in_obs_space, in_act_space): + # Based on the input observation space (), return the output observation + # space. Implementing this method is crucial for the pipeline to know its output + # spaces, which are an important piece of information to construct the succeeding + # RLModule. + + assert isinstance(in_obs_space, gym.spaces.Box) and len(in_obs_space.shape) == 1 + return gym.spaces.Box(-100.0, 100.0, (in_obs_space.shape[0] + 3,), np.float32) + + def preprocess(self, observation, episode): + # Extract the last 3 rewards from the ongoing episode using a python `slice` object. + # Alternatively, you can also pass in a list of indices, [-3, -2, -1]. + past_3_rewards = episode.get_rewards(indices=slice(-3, None)) + + # Concatenate the rewards to the actual observation. + new_observation = np.concatenate([ + observation, np.array(past_3_rewards, np.float32) + ]) + + # Return the new observation. + return new_observation + + +.. note:: + + Note that the preceding example should work without any further action required on your model, + whether it's a custom one or a default one provided by RLlib, as long as the model determines its input layer's + size through its own ``self.observation_space`` attribute. The connector pipeline correctly captures the observation + space changes, from the environment's 1D-Box to the reward-enhanced, larger 1D-Box and + passes this new observation space to your RLModule's :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.setup` + method. + + +Preprocessing observations in multi-agent setups +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +In multi-agent setups, you have two options for preprocessing your agents' individual observations +through customizing your env-to-module pipeline: + +1) Agent-by-agent: Using the same API as in the previous examples, + :py:class:`~ray.rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor`, + you can apply a single preprocessing logic across all agents. However, in case you need one distinct preprocessing + logic per ``AgentID``, lookup the agent information from the provided ``episode`` argument in the + :py:meth:`~ray.rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor.preprocess` method: + + .. testcode:: + :skipif: True + + def recompute_output_observation_space(self, in_obs_space, in_act_space): + # `in_obs_space` is a `Dict` space, mapping agent IDs to individual agents' spaces. + # Alter this dict according to which agents you want to preprocess observations for + # and return the new `Dict` space. + + # For example: + return gym.spaces.Dict({ + "some_agent_id": [obs space], + "other_agent_id": [another obs space], + ... + }) + + def preprocess(self, observation, episode): + + # Skip preprocessing for certain agent ID(s). + if episode.agent_id != "some_agent_id": + return observation + + # Preprocess other agents' observations. + ... + +1) Multi-agent preprocessor with access to the entire multi-agent observation dict: Alternatively, you can subclass the + :py:class:`~ray.rllib.connectors.env_to_module.observation_preprocessor.MultiAgentObservationPreprocessor` API and + override the same two methods, ``recompute_output_observation_space`` and ``preprocess``. + + See here for a `2-agent observation preprocessor example `__ + showing how to enhance each agents' observations through adding information from the respective other agent to the observations. + + Use :py:class:`~ray.rllib.connectors.env_to_module.observation_preprocessor.MultiAgentObservationPreprocessor` whenever you need to + preprocess observations of an agent by lookup information from other agents, for example their own observations, but also rewards and + previous actions. + + +Adding new columns to the batch +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +So far, you have altered the observations in the input episodes, either by +:ref:`manipulating them directly ` or +:ref:`adding additional information like rewards to them `. + +RLlib's default env-to-module connectors add the observations found in the episodes to the batch under the ``obs`` column. +If you would like to create a new column in the batch, you can subclass :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` directly +and implement its :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method. This way, if you have an +:py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` that requires certain custom columns to be present in the input batch, +write a custom connector piece following this example here: + +.. testcode:: + + import numpy as np + from ray.rllib.connectors.connector_v2 import ConnectorV2 + + class AddNewColumnToBatch(ConnectorV2): + + def __init__( + self, + input_observation_space=None, + input_action_space=None, + *, + col_name: str = "last_3_rewards_mean", + ): + super().__init__(input_observation_space, input_action_space) + + self.col_name = col_name + + def __call__(self, *, episodes, batch, rl_module, explore, shared_data, **kwargs): + + # Use the convenience `single_agent_episode_iterator` to loop through given episodes. + # Even if `episodes` are a list of MultiAgentEpisodes, RLlib splits them up into + # their single-agent subcomponents. + + for sa_episode in self.single_agent_episode_iterator(episodes): + + # Compute some example new-data item for your `batch` (to be added + # under a new column). + # Here, we compile the average over the last 3 rewards. + last_3_rewards = sa_episode.get_rewards( + indices=[-3, -2, -1], + fill=0.0, # at beginning of episode, fill with 0s + ) + new_data_item = np.mean(last_3_rewards) + # Use the convenience utility: `add_item_to_batch` to add a new value to + # a new or existing column. + self.add_batch_item( + batch=batch, + column=self.col_name, + item_to_add=new_data_item, + single_agent_episode=sa_episode, + ) + + # Return the altered batch (with the new column in it). + return batch + + +.. testcode:: + :hide: + + config = ( + PPOConfig() + .environment("CartPole-v1") + .env_runners( + env_to_module_connector=lambda env, spaces, device: AddNewColumnToBatch() + ) + ) + env = gym.make("CartPole-v1") + env_to_module = config.build_env_to_module_connector(env=env, spaces=None) + episode = SingleAgentEpisode() + obs, _ = env.reset() + episode.add_env_reset(observation=obs) + action = 0 + obs, _, _, _, _ = env.step(action) + episode.add_env_step(observation=obs, action=action, reward=1.0) + batch = {} + batch = env_to_module( + episodes=[episode], + batch=batch, + rl_module=None, # in stateless case, RLModule is not strictly required + explore=True, + ) + # Print out the resulting batch. + print(batch) + + +You should see the new column in the batch, after running through this connector piece. + +Note, though, that if your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` also requires the new information +in the train batch, you would also need to add the same custom connector piece to your Algorithm's +:py:class:`~ray.rllib.connectors.learner.learner_connector_pipeline.LearnerConnectorPipeline`. diff --git a/doc/source/rllib/images/connector_v2/connector_generic.svg b/doc/source/rllib/images/connector_v2/connector_generic.svg new file mode 100644 index 000000000000..0a128f14c317 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/connector_generic.svg @@ -0,0 +1 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b/doc/source/rllib/images/connector_v2/env_to_module_connector.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/generic_connector_pipeline.svg b/doc/source/rllib/images/connector_v2/generic_connector_pipeline.svg new file mode 100644 index 000000000000..2c702681f582 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/generic_connector_pipeline.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/learner_connector.svg b/doc/source/rllib/images/connector_v2/learner_connector.svg new file mode 100644 index 000000000000..a2c683ca68a4 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/learner_connector.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg b/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg new file mode 100644 index 000000000000..25e355b4148f --- /dev/null +++ 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_connector-v2-reference-docs: + +ConnectorV2 API +=============== + +.. include:: /_includes/rllib/new_api_stack.rst + +.. currentmodule:: ray.rllib.connectors.connector_v2 + +rllib.connectors.connector_v2.ConnectorV2 +----------------------------------------- + +.. autoclass:: ray.rllib.connectors.connector_v2.ConnectorV2 + :special-members: __call__ + :members: + + +rllib.connectors.connector_pipeline_v2.ConnectorPipelineV2 +---------------------------------------------------------- + +.. autoclass:: ray.rllib.connectors.connector_pipeline_v2.ConnectorPipelineV2 + :members: + + +Observation preprocessors +========================= + +.. currentmodule:: ray.rllib.connectors.env_to_module.observation_preprocessor + +rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor +------------------------------------------------------------------------------------------ + +.. autoclass:: ray.rllib.connectors.env_to_module.observation_preprocessor.SingleAgentObservationPreprocessor + + .. automethod:: recompute_output_observation_space + .. automethod:: preprocess + + +rllib.connectors.env_to_module.observation_preprocessor.MultiAgentObservationPreprocessor +----------------------------------------------------------------------------------------- + +.. autoclass:: ray.rllib.connectors.env_to_module.observation_preprocessor.MultiAgentObservationPreprocessor + + .. automethod:: recompute_output_observation_space + .. automethod:: preprocess diff --git a/doc/source/rllib/package_ref/index.rst b/doc/source/rllib/package_ref/index.rst index 5638c44be509..5411f2c213b1 100644 --- a/doc/source/rllib/package_ref/index.rst +++ b/doc/source/rllib/package_ref/index.rst @@ -25,5 +25,6 @@ If you think there is anything missing, please open an issue on `Github`_. distributions.rst learner.rst offline.rst + connector-v2.rst replay-buffers.rst utils.rst diff --git a/doc/source/rllib/single-agent-episode.rst b/doc/source/rllib/single-agent-episode.rst index 3faa014239b6..46434195e0aa 100644 --- a/doc/source/rllib/single-agent-episode.rst +++ b/doc/source/rllib/single-agent-episode.rst @@ -11,7 +11,7 @@ RLlib stores and transports all trajectory data in the form of `Episodes`, in pa :py:class:`~ray.rllib.env.single_agent_episode.SingleAgentEpisode` for single-agent setups and :py:class:`~ray.rllib.env.multi_agent_episode.MultiAgentEpisode` for multi-agent setups. The data is translated from this `Episode` format to tensor batches (including a possible move to the GPU) -only immediately before a neural network forward pass by so called "connector pipelines". +only immediately before a neural network forward pass by so called :ref:`connector pipelines `. .. figure:: images/episodes/usage_of_episodes.svg :width: 750 @@ -20,9 +20,9 @@ only immediately before a neural network forward pass by so called "connector pi **Episodes** are the main vehicle to store and transport trajectory data across the different components of RLlib (for example from `EnvRunner` to `Learner` or from `ReplayBuffer` to `Learner`). One of the main design principles of RLlib's new API stack is that all trajectory data is kept in such episodic form - for as long as possible. Only immediately before the neural network passes, "connector pipelines" translate lists - of Episodes into tensor batches. See the :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` class for - more details (documentation of which is still work in progress). + for as long as possible. Only immediately before the neural network passes, :ref:`connector pipelines ` + translate lists of Episodes into tensor batches. See the section on :ref:`Connectors and Connector pipelines here ` + for more details. The main advantage of collecting and moving around data in such a trajectory-as-a-whole format diff --git a/doc/source/rllib/user-guides.rst b/doc/source/rllib/user-guides.rst index 4b12fdf0fb3a..baa34d5b9496 100644 --- a/doc/source/rllib/user-guides.rst +++ b/doc/source/rllib/user-guides.rst @@ -15,6 +15,7 @@ User Guides checkpoints metrics-logger single-agent-episode + connector-v2 rllib-replay-buffers rllib-offline rl-modules @@ -73,6 +74,14 @@ RLlib Feature Guides How to process trajectories through episodes + .. grid-item-card:: + :img-top: /rllib/images/rllib-logo.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: connector-v2 + + How To Use Connectors and Connector pipelines (new API stack)? + .. grid-item-card:: :img-top: /rllib/images/rllib-logo.svg :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 3d9ce47814ad..832f00a14446 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -324,7 +324,7 @@ def __init__(self, algo_class: Optional[type] = None): self.num_env_runners = 0 self.create_local_env_runner = True self.num_envs_per_env_runner = 1 - # TODO (sven): Once new ormsgpack system in place, reaplce the string + # TODO (sven): Once new ormsgpack system in place, replace the string # with proper `gym.envs.registration.VectorizeMode.SYNC`. self.gym_env_vectorize_mode = "SYNC" self.num_cpus_per_env_runner = 1 @@ -1058,9 +1058,10 @@ def build_env_to_module_connector( if env is not None: obs_space = getattr(env, "single_observation_space", env.observation_space) - else: - assert spaces is not None + elif spaces is not None and INPUT_ENV_SINGLE_SPACES in spaces: obs_space = spaces[INPUT_ENV_SINGLE_SPACES][0] + else: + obs_space = self.observation_space if obs_space is None and self.is_multi_agent: obs_space = gym.spaces.Dict( { @@ -1070,9 +1071,10 @@ def build_env_to_module_connector( ) if env is not None: act_space = getattr(env, "single_action_space", env.action_space) - else: - assert spaces is not None + elif spaces is not None and INPUT_ENV_SINGLE_SPACES in spaces: act_space = spaces[INPUT_ENV_SINGLE_SPACES][1] + else: + act_space = self.action_space if act_space is None and self.is_multi_agent: act_space = gym.spaces.Dict( { @@ -1162,9 +1164,10 @@ def build_module_to_env_connector(self, env=None, spaces=None) -> ConnectorV2: if env is not None: obs_space = getattr(env, "single_observation_space", env.observation_space) - else: - assert spaces is not None + elif spaces is not None and INPUT_ENV_SINGLE_SPACES in spaces: obs_space = spaces[INPUT_ENV_SINGLE_SPACES][0] + else: + obs_space = self.observation_space if obs_space is None and self.is_multi_agent: obs_space = gym.spaces.Dict( { @@ -1174,9 +1177,10 @@ def build_module_to_env_connector(self, env=None, spaces=None) -> ConnectorV2: ) if env is not None: act_space = getattr(env, "single_action_space", env.action_space) - else: - assert spaces is not None + elif spaces is not None and INPUT_ENV_SINGLE_SPACES in spaces: act_space = spaces[INPUT_ENV_SINGLE_SPACES][1] + else: + act_space = self.action_space if act_space is None and self.is_multi_agent: act_space = gym.spaces.Dict( { @@ -4417,13 +4421,25 @@ def get_rl_module_spec( ) rl_module_spec = rl_module_spec[DEFAULT_MODULE_ID] - if spaces is not None: - rl_module_spec.observation_space = spaces[DEFAULT_MODULE_ID][0] - rl_module_spec.action_space = spaces[DEFAULT_MODULE_ID][1] - elif env is not None: - if isinstance(env, gym.vector.VectorEnv): - rl_module_spec.observation_space = env.single_observation_space - rl_module_spec.action_space = env.single_action_space + if rl_module_spec.observation_space is None: + if spaces is not None: + rl_module_spec.observation_space = spaces[DEFAULT_MODULE_ID][0] + elif env is not None and isinstance(env, gym.Env): + rl_module_spec.observation_space = getattr( + env, "single_observation_space", env.observation_space + ) + else: + rl_module_spec.observation_space = self.observation_space + + if rl_module_spec.action_space is None: + if spaces is not None: + rl_module_spec.action_space = spaces[DEFAULT_MODULE_ID][1] + elif env is not None and isinstance(env, gym.Env): + rl_module_spec.action_space = getattr( + env, "single_action_space", env.action_space + ) + else: + rl_module_spec.action_space = self.action_space # If module_config_dict is not defined, set to our generic one. if rl_module_spec.model_config is None: diff --git a/rllib/connectors/common/add_states_from_episodes_to_batch.py b/rllib/connectors/common/add_states_from_episodes_to_batch.py index 9e211dd25572..07c26d8c227e 100644 --- a/rllib/connectors/common/add_states_from_episodes_to_batch.py +++ b/rllib/connectors/common/add_states_from_episodes_to_batch.py @@ -211,7 +211,11 @@ def __call__( **kwargs, ) -> Any: # If not stateful OR STATE_IN already in data, early out. - if not rl_module.is_stateful() or Columns.STATE_IN in batch: + if ( + rl_module is None + or not rl_module.is_stateful() + or Columns.STATE_IN in batch + ): return batch for sa_episode in self.single_agent_episode_iterator( diff --git a/rllib/connectors/common/add_time_dim_to_batch_and_zero_pad.py b/rllib/connectors/common/add_time_dim_to_batch_and_zero_pad.py index 9d47e4634063..8358e44ae281 100644 --- a/rllib/connectors/common/add_time_dim_to_batch_and_zero_pad.py +++ b/rllib/connectors/common/add_time_dim_to_batch_and_zero_pad.py @@ -183,7 +183,11 @@ def __call__( ) -> Any: # If not stateful OR STATE_IN already in data, early out. - if not rl_module.is_stateful() or Columns.STATE_IN in batch: + if ( + rl_module is None + or not rl_module.is_stateful() + or Columns.STATE_IN in batch + ): return batch # Make all inputs (other than STATE_IN) have an additional T-axis. diff --git a/rllib/connectors/common/numpy_to_tensor.py b/rllib/connectors/common/numpy_to_tensor.py index 23c5a15507cb..17274fa656f1 100644 --- a/rllib/connectors/common/numpy_to_tensor.py +++ b/rllib/connectors/common/numpy_to_tensor.py @@ -58,7 +58,6 @@ def __init__( input_observation_space: Optional[gym.Space] = None, input_action_space: Optional[gym.Space] = None, *, - as_learner_connector: bool = False, pin_memory: bool = False, device: Optional[str] = None, **kwargs, @@ -66,8 +65,6 @@ def __init__( """Initializes a NumpyToTensor instance. Args: - as_learner_connector: Whether this ConnectorV2 piece is used inside a - LearnerConnectorPipeline or not. pin_memory: Whether to pin memory when creating (torch) tensors. If None (default), pins memory if `as_learner_connector` is True, otherwise doesn't pin memory. @@ -80,7 +77,6 @@ def __init__( input_action_space=input_action_space, **kwargs, ) - self._as_learner_connector = as_learner_connector self._pin_memory = pin_memory self._device = device @@ -103,17 +99,20 @@ def __call__( batch = {DEFAULT_MODULE_ID: batch} for module_id, module_data in batch.copy().items(): - infos = module_data.pop(Columns.INFOS, None) - if rl_module.framework == "torch": - module_data = convert_to_torch_tensor( - module_data, pin_memory=self._pin_memory, device=self._device - ) - else: - raise ValueError( - "`NumpyToTensor`does NOT support frameworks other than torch!" - ) - if infos is not None: - module_data[Columns.INFOS] = infos + # If `rl_module` is None, leave data in numpy format. + if rl_module is not None: + infos = module_data.pop(Columns.INFOS, None) + if rl_module.framework == "torch": + module_data = convert_to_torch_tensor( + module_data, pin_memory=self._pin_memory, device=self._device + ) + else: + raise ValueError( + "`NumpyToTensor`does NOT support frameworks other than torch!" + ) + if infos is not None: + module_data[Columns.INFOS] = infos + # Early out with data under(!) `DEFAULT_MODULE_ID`, b/c we are in plain # single-agent mode. if is_single_agent: diff --git a/rllib/connectors/connector_v2.py b/rllib/connectors/connector_v2.py index 5b4b2b86bdc8..311957717aad 100644 --- a/rllib/connectors/connector_v2.py +++ b/rllib/connectors/connector_v2.py @@ -178,7 +178,7 @@ def __call__( environment if `self` is the first connector piece in the pipeline or from the previous connector piece in the pipeline). input_action_space: The input action space (either coming from the - environment if `self is the first connector piece in the pipeline or + environment if `self` is the first connector piece in the pipeline or from the previous connector piece in the pipeline). Returns: @@ -207,7 +207,7 @@ def recompute_output_action_space( environment if `self` is the first connector piece in the pipeline or from the previous connector piece in the pipeline). input_action_space: The input action space (either coming from the - environment if `self is the first connector piece in the pipeline or + environment if `self` is the first connector piece in the pipeline or from the previous connector piece in the pipeline). Returns: diff --git a/rllib/examples/connectors/multi_agent_observation_preprocessor.py b/rllib/examples/connectors/multi_agent_observation_preprocessor.py index f2cc27dc9959..8f8365fb4e24 100644 --- a/rllib/examples/connectors/multi_agent_observation_preprocessor.py +++ b/rllib/examples/connectors/multi_agent_observation_preprocessor.py @@ -103,7 +103,9 @@ num_envs_per_env_runner=20, # Define a list of two connector piece to be prepended to the env-to-module # connector pipeline: - # 1) The custom connector piece (a MultiAgentObservationPreprocessor). + # 1) The custom connector piece: A MultiAgentObservationPreprocessor, which + # enhances each agents' individual observations through adding the + # respective other agent's row index to the observation. # 2) A FlattenObservations connector to flatten the integer observations # for `agent_0`, which the AddOtherAgentsRowIndexToXYPos outputs. env_to_module_connector=lambda env, spaces, device: [ From 865b27d16e3af573102b0138d50723197131ca9b Mon Sep 17 00:00:00 2001 From: Vassilis Vassiliadis <43679502+VassilisVassiliadis@users.noreply.github.com> Date: Tue, 15 Jul 2025 15:01:30 +0100 Subject: [PATCH 0205/1566] [core] fix checking for uv existence during ray_runtime setup (#54141) Without this fix, Ray cannot install packages when installed in a virtual environment that is created via `uv` in a "default way" (i.e.`uv venv`). The `_install_uv_packages()` function incorrectly uses the path to the Python executable rather than the virtual environment path when calling `_check_uv_existence()`. In turn, `_check_uv_existence()` always returns `False`, even if `uv` is actually installed. Additionally, when `uv` is either missing or a specific version is requested, Ray attempts to install it using `python -m pip`. However, in a standard `uv` virtual environment, the `pip` module is not available, causing this command to raise an exception. Closes #54134 Signed-off-by: Vassilis Vassiliadis Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/uv.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/_private/runtime_env/uv.py b/python/ray/_private/runtime_env/uv.py index f7600876c483..e54954a996f0 100644 --- a/python/ray/_private/runtime_env/uv.py +++ b/python/ray/_private/runtime_env/uv.py @@ -151,7 +151,7 @@ async def _install_uv_packages( requirements_file = dependency_utils.get_requirements_file(path, uv_packages) # Check existence for `uv` and see if we could skip `uv` installation. - uv_exists = await self._check_uv_existence(python, cwd, pip_env, logger) + uv_exists = await self._check_uv_existence(path, cwd, pip_env, logger) # Install uv, which acts as the default package manager. if (not uv_exists) or (self._uv_config.get("uv_version", None) is not None): From 4539d31c66af538a1360b532d3074ed8116d7639 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Tue, 15 Jul 2025 23:14:03 +0800 Subject: [PATCH 0206/1566] [Core] use RunFnPeriodically for metrics report in GCS server (#54358) Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_server.cc | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 6df54632beec..2458ffa8a74e 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -271,12 +271,15 @@ void GcsServer::DoStart(const GcsInitData &gcs_init_data) { // Init usage stats client. InitUsageStatsClient(); - RecordMetrics(); - // Start RPC server when all tables have finished loading initial // data. rpc_server_.Run(); + periodical_runner_->RunFnPeriodically( + [this] { RecordMetrics(); }, + /*ms*/ RayConfig::instance().metrics_report_interval_ms() / 2, + "GCSServer.deadline_timer.metrics_report"); + periodical_runner_->RunFnPeriodically( [this] { RAY_LOG(INFO) << GetDebugState(); @@ -838,11 +841,6 @@ void GcsServer::RecordMetrics() const { gcs_placement_group_manager_->RecordMetrics(); gcs_task_manager_->RecordMetrics(); gcs_job_manager_->RecordMetrics(); - execute_after( - io_context_provider_.GetDefaultIOContext(), - [this] { RecordMetrics(); }, - std::chrono::milliseconds(RayConfig::instance().metrics_report_interval_ms() / - 2) /* milliseconds */); } void GcsServer::DumpDebugStateToFile() const { From 92535439988c2db97d9e9af9366bff104d011403 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 15 Jul 2025 08:28:12 -0700 Subject: [PATCH 0207/1566] [ci] make daily postmerge schedule also no db (#54617) same as nightly runs Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release-automation/pre_release.rayci.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.buildkite/release-automation/pre_release.rayci.yml b/.buildkite/release-automation/pre_release.rayci.yml index ed5de3c08245..0ae68f67a393 100644 --- a/.buildkite/release-automation/pre_release.rayci.yml +++ b/.buildkite/release-automation/pre_release.rayci.yml @@ -36,6 +36,7 @@ steps: message: "Triggered by release-automation build #${BUILDKITE_BUILD_NUMBER}" env: RAYCI_RELEASE: 1 + RAYCI_DISABLE_TEST_DB: "1" - label: "Trigger Postmerge nightly build & test" if: build.env("RAYCI_WEEKLY_RELEASE_NIGHTLY") == "1" From d3c5d8032eafc19219da187ed35ecbe20edae0ab Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Tue, 15 Jul 2025 08:47:23 -0700 Subject: [PATCH 0208/1566] Feat/remove cpu profiler (#54569) Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 12 ---- python/ray/serve/_private/constants.py | 5 -- python/ray/serve/_private/controller.py | 25 +-------- python/ray/serve/_private/logging_utils.py | 64 +--------------------- python/ray/serve/_private/proxy.py | 25 --------- python/ray/serve/_private/replica.py | 27 --------- 6 files changed, 2 insertions(+), 156 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 23ccf8945493..6de50d8b86f3 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -204,16 +204,6 @@ python/ray/_private/services.py DOC111: Function `start_ray_client_server`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list DOC103: Function `start_ray_client_server`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [fate_share: Optional[bool]]. -------------------- -python/ray/_private/signature.py - DOC106: Function `get_signature`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `get_signature`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `extract_signature`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `extract_signature`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC107: Function `validate_args`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC107: Function `flatten_args`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `recover_args`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `recover_args`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- python/ray/_private/state.py DOC106: Method `GlobalState._initialize_global_state`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `GlobalState._initialize_global_state`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints @@ -1742,8 +1732,6 @@ python/ray/serve/_private/logging_utils.py DOC102: Method `ServeFormatter.format`: Docstring contains more arguments than in function signature. DOC103: Method `ServeFormatter.format`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the docstring but not in the function signature: [Returns: ]. DOC201: Method `ServeFormatter.format` does not have a return section in docstring - DOC101: Function `configure_component_cpu_profiler`: Docstring contains fewer arguments than in function signature. - DOC103: Function `configure_component_cpu_profiler`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [component_id: str, component_name: str, component_type: Optional[ServeComponentType]]. -------------------- python/ray/serve/_private/long_poll.py DOC107: Method `LongPollClient.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index b0cf144cbf57..a627a1a60d52 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -312,11 +312,6 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: os.environ.get("RAY_SERVE_ENABLE_MEMORY_PROFILING", "0") == "1" ) -# Enable cProfile in all Serve actors. -RAY_SERVE_ENABLE_CPU_PROFILING = ( - os.environ.get("RAY_SERVE_ENABLE_CPU_PROFILING", "0") == "1" -) - # Max value allowed for max_replicas_per_node option. # TODO(jjyao) the <= 100 limitation is an artificial one # and is due to the fact that Ray core only supports resource diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 3257d9b11a29..974e859987f0 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -1,6 +1,5 @@ import asyncio import logging -import marshal import os import pickle import time @@ -41,7 +40,6 @@ configure_http_options_with_defaults, ) from ray.serve._private.logging_utils import ( - configure_component_cpu_profiler, configure_component_logger, configure_component_memory_profiler, get_component_logger_file_path, @@ -146,9 +144,7 @@ async def __init__( configure_component_memory_profiler( component_name="controller", component_id=str(os.getpid()) ) - self.cpu_profiler, self.cpu_profiler_log = configure_component_cpu_profiler( - component_name="controller", component_id=str(os.getpid()) - ) + if RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH: logger.info( "Calling user-provided callback from import path " @@ -1130,25 +1126,6 @@ async def graceful_shutdown(self, wait: bool = True): # until the controller is killed, which raises a RayActorError. await self._shutdown_event.wait() - def _save_cpu_profile_data(self) -> str: - """Saves CPU profiling data, if CPU profiling is enabled. - - Logs a warning if CPU profiling is disabled. - """ - - if self.cpu_profiler is not None: - self.cpu_profiler.snapshot_stats() - with open(self.cpu_profiler_log, "wb") as f: - marshal.dump(self.cpu_profiler.stats, f) - logger.info(f'Saved CPU profile data to file "{self.cpu_profiler_log}"') - return self.cpu_profiler_log - else: - logger.error( - "Attempted to save CPU profile data, but failed because no " - "CPU profiler was running! Enable CPU profiling by enabling " - "the RAY_SERVE_ENABLE_CPU_PROFILING env var." - ) - def _get_logging_config(self) -> Tuple: """Get the logging configuration (for testing purposes).""" log_file_path = None diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index d2faa5fbd7f6..9b63a4a3d6d8 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -3,7 +3,7 @@ import os import sys import traceback -from typing import Any, Optional, Tuple +from typing import Any, Optional import ray from ray._private.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES @@ -11,7 +11,6 @@ from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray.serve._private.common import ServeComponentType from ray.serve._private.constants import ( - RAY_SERVE_ENABLE_CPU_PROFILING, RAY_SERVE_ENABLE_JSON_LOGGING, RAY_SERVE_ENABLE_MEMORY_PROFILING, RAY_SERVE_LOG_TO_STDERR, @@ -32,12 +31,6 @@ from ray.serve._private.utils import get_component_file_name from ray.serve.schema import EncodingType, LoggingConfig -try: - import cProfile -except ImportError: - pass - - buildin_print = builtins.print @@ -471,61 +464,6 @@ def configure_component_memory_profiler( ) -def configure_component_cpu_profiler( - component_name: str, - component_id: str, - component_type: Optional[ServeComponentType] = None, -) -> Tuple[Optional[cProfile.Profile], Optional[str]]: - """Configures the CPU profiler for this component. - - Does nothing if RAY_SERVE_ENABLE_CPU_PROFILING is disabled. - - Returns: - 2-tuple containing profiler object and log file name for profile stats. - """ - - if RAY_SERVE_ENABLE_CPU_PROFILING: - logger = logging.getLogger(SERVE_LOGGER_NAME) - - try: - import cProfile - except ImportError: - logger.warning( - "RAY_SERVE_ENABLE_CPU_PROFILING is enabled, but cProfile " - "is not installed. No CPU profiling is happening." - ) - return None, None - try: - # Need marshal to dump data. Check if marshal is installed before - # starting the profiler. - import marshal # noqa: F401 - except ImportError: - logger.warning( - "RAY_SERVE_ENABLE_CPU_PROFILING is enabled, but marshal " - "is not installed. No CPU profiling is happening." - ) - return None, None - - logs_dir = get_serve_logs_dir() - cpu_profiler_file_name = get_component_file_name( - component_name=component_name, - component_id=component_id, - component_type=component_type, - suffix="_cprofile.prof", - ) - cpu_profiler_file_path = os.path.join(logs_dir, cpu_profiler_file_name) - - profile = cProfile.Profile() - profile.enable() - logger.info( - "RAY_SERVE_ENABLE_CPU_PROFILING is enabled. Started cProfile " - "on this actor." - ) - return profile, cpu_profiler_file_path - else: - return None, None - - def get_serve_logs_dir() -> str: """Get the directory that stores Serve log files. diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 25c5393950f9..3c198a5b2a3c 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -54,7 +54,6 @@ ) from ray.serve._private.logging_utils import ( access_log_msg, - configure_component_cpu_profiler, configure_component_logger, configure_component_memory_profiler, get_component_logger_file_path, @@ -1054,9 +1053,6 @@ def __init__( configure_component_memory_profiler( component_name="proxy", component_id=node_ip_address ) - self.cpu_profiler, self.cpu_profiler_log = configure_component_cpu_profiler( - component_name="proxy", component_id=node_ip_address - ) is_head = self._node_id == get_head_node_id() self.proxy_router = ProxyRouter(get_proxy_handle) @@ -1211,27 +1207,6 @@ async def receive_asgi_messages(self, request_metadata: RequestMetadata) -> byte await self.http_proxy.receive_asgi_messages(request_metadata) ) - def _save_cpu_profile_data(self) -> str: - """Saves CPU profiling data, if CPU profiling is enabled. - - Logs a warning if CPU profiling is disabled. - """ - - if self.cpu_profiler is not None: - import marshal - - self.cpu_profiler.snapshot_stats() - with open(self.cpu_profiler_log, "wb") as f: - marshal.dump(self.cpu_profiler.stats, f) - logger.info(f'Saved CPU profile data to file "{self.cpu_profiler_log}"') - return self.cpu_profiler_log - else: - logger.error( - "Attempted to save CPU profile data, but failed because no " - "CPU profiler was running! Enable CPU profiling by enabling " - "the RAY_SERVE_ENABLE_CPU_PROFILING env var." - ) - def _get_http_options(self) -> HTTPOptions: """Internal method to get HTTP options used by the proxy.""" return self._http_options diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index d71196b5aa6a..87e6fbd3ad1d 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -77,7 +77,6 @@ ) from ray.serve._private.logging_utils import ( access_log_msg, - configure_component_cpu_profiler, configure_component_logger, configure_component_memory_profiler, get_component_logger_file_path, @@ -452,11 +451,6 @@ def _configure_logger_and_profilers( component_name=self._component_name, component_id=self._component_id, ) - self.cpu_profiler, self.cpu_profiler_log = configure_component_cpu_profiler( - component_type=ServeComponentType.REPLICA, - component_name=self._component_name, - component_id=self._component_id, - ) def _can_accept_request(self, request_metadata: RequestMetadata) -> bool: # This replica gates concurrent request handling with an asyncio.Semaphore. @@ -1117,27 +1111,6 @@ async def handle_request_from_java( async def perform_graceful_shutdown(self): await self._replica_impl.perform_graceful_shutdown() - def _save_cpu_profile_data(self) -> str: - """Saves CPU profiling data, if CPU profiling is enabled. - - Logs a warning if CPU profiling is disabled. - """ - - if self.cpu_profiler is not None: - import marshal - - self.cpu_profiler.snapshot_stats() - with open(self.cpu_profiler_log, "wb") as f: - marshal.dump(self.cpu_profiler.stats, f) - logger.info(f'Saved CPU profile data to file "{self.cpu_profiler_log}"') - return self.cpu_profiler_log - else: - logger.error( - "Attempted to save CPU profile data, but failed because no " - "CPU profiler was running! Enable CPU profiling by enabling " - "the RAY_SERVE_ENABLE_CPU_PROFILING env var." - ) - @dataclass class UserMethodInfo: From dd2cd9a6b500b326974ea065e409d1790e850aa1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=EC=9D=B8=EC=98=81?= Date: Wed, 16 Jul 2025 00:47:50 +0900 Subject: [PATCH 0209/1566] [RLlib] Enhance SAC (new API stack) with discrete action support. (#53982) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-algorithms.rst | 2 +- rllib/BUILD | 80 +++++++++ rllib/algorithms/sac/README.md | 3 + rllib/algorithms/sac/sac_catalog.py | 111 ++++++++++-- rllib/algorithms/sac/sac_learner.py | 5 + .../sac/torch/default_sac_torch_rl_module.py | 117 +++++++++++-- .../algorithms/sac/torch/sac_torch_learner.py | 164 +++++++++++++++++- rllib/models/utils.py | 2 + rllib/tuned_examples/sac/mountaincar_sac.py | 59 +++++++ 9 files changed, 505 insertions(+), 38 deletions(-) create mode 100644 rllib/tuned_examples/sac/mountaincar_sac.py diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index d733f5bae324..96dd4948a3f3 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -23,7 +23,7 @@ as well as multi-GPU training on multi-node (GPU) clusters when using the `Anysc +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ | :ref:`DQN/Rainbow (Deep Q Networks) ` | |single_agent| |multi_agent| | |multi_gpu| |multi_node_multi_gpu| | |discr_actions| | +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ -| :ref:`SAC (Soft Actor Critic) ` | |single_agent| |multi_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| | +| :ref:`SAC (Soft Actor Critic) ` | |single_agent| |multi_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| |discr_actions| | +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ | **High-throughput on- and off policy** | +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ diff --git a/rllib/BUILD b/rllib/BUILD index 650825c3040f..faf30b763f14 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -1679,6 +1679,86 @@ py_test( ) # SAC +# MountainCar +py_test( + name = "learning_tests_mountaincar_sac", + size = "large", + srcs = ["tuned_examples/sac/mountaincar_sac.py"], + args = [ + "--as-test", + "--enable-new-api-stack", + ], + main = "tuned_examples/sac/mountaincar_sac.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "team:rllib", + "torch_only", + ], +) + +py_test( + name = "learning_tests_mountaincar_sac_gpu", + size = "large", + srcs = ["tuned_examples/sac/mountaincar_sac.py"], + args = [ + "--as-test", + "--enable-new-api-stack", + "--num-learners=1", + "--num-gpus-per-learner=1", + ], + main = "tuned_examples/sac/mountaincar_sac.py", + tags = [ + "exclusive", + "gpu", + "learning_tests", + "learning_tests_discrete", + "team:rllib", + "torch_only", + ], +) + +py_test( + name = "learning_tests_mountaincar_sac_multi_cpu", + size = "large", + srcs = ["tuned_examples/sac/mountaincar_sac.py"], + args = [ + "--as-test", + "--enable-new-api-stack", + "--num-learners=2", + ], + main = "tuned_examples/sac/mountaincar_sac.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "team:rllib", + "torch_only", + ], +) + +py_test( + name = "learning_tests_mountaincar_sac_multi_gpu", + size = "large", + srcs = ["tuned_examples/sac/mountaincar_sac.py"], + args = [ + "--as-test", + "--enable-new-api-stack", + "--num-learners=2", + "--num-gpus-per-learner=1", + ], + main = "tuned_examples/sac/mountaincar_sac.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "multi_gpu", + "team:rllib", + "torch_only", + ], +) + # Pendulum py_test( name = "learning_tests_pendulum_sac", diff --git a/rllib/algorithms/sac/README.md b/rllib/algorithms/sac/README.md index b629df428602..bf614bb42f58 100644 --- a/rllib/algorithms/sac/README.md +++ b/rllib/algorithms/sac/README.md @@ -10,6 +10,9 @@ well as expected entropy over the current policy. In addition to optimizing over actor and critic with entropy-based objectives, SAC also optimizes for the entropy coeffcient. +[SAC-Discrete](https://arxiv.org/pdf/1910.07207) is a variant of SAC that can be used for discrete action spaces is +also implemented. + ## Documentation & Implementation: [Soft Actor-Critic Algorithm (SAC)](https://arxiv.org/abs/1801.01290). diff --git a/rllib/algorithms/sac/sac_catalog.py b/rllib/algorithms/sac/sac_catalog.py index ea88a428af48..6f6d5aa7a5c3 100644 --- a/rllib/algorithms/sac/sac_catalog.py +++ b/rllib/algorithms/sac/sac_catalog.py @@ -1,5 +1,6 @@ import gymnasium as gym import numpy as np +from typing import Callable # TODO (simon): Store this function somewhere more central as many # algorithms will use it. @@ -11,8 +12,12 @@ MLPHeadConfig, ) from ray.rllib.core.models.base import Encoder, Model -from ray.rllib.models.torch.torch_distributions import TorchSquashedGaussian +from ray.rllib.models.torch.torch_distributions import ( + TorchSquashedGaussian, + TorchCategorical, +) from ray.rllib.utils.annotations import override, OverrideToImplementCustomLogic +from ray.rllib.models.distributions import Distribution # TODO (simon): Check, if we can directly derive from DQNCatalog. @@ -72,6 +77,8 @@ def __init__( action_space=action_space, model_config_dict=model_config_dict, ) + if not isinstance(self.action_space, (gym.spaces.Box, gym.spaces.Discrete)): + self._raise_unsupported_action_space_error() # Define the heads. self.pi_and_qf_head_hiddens = self._model_config_dict["head_fcnet_hiddens"] @@ -84,17 +91,26 @@ def __init__( # -> Build pi config only in the `self.build_pi_head` method. self.pi_head_config = None + # SAC-Discrete: The Q-function outputs q-values for each action + # SAC-Continuous: The Q-function outputs a single value (the Q-value for the + # action taken). + required_qf_output_dim = ( + self.action_space.n + if isinstance(self.action_space, gym.spaces.Discrete) + else 1 + ) + # TODO (simon): Implement in a later step a q network with # different `head_fcnet_hiddens` than pi. + # TODO (simon): These latent_dims could be different for the + # q function, value function, and pi head. + # Here we consider the simple case of identical encoders. self.qf_head_config = MLPHeadConfig( - # TODO (simon): These latent_dims could be different for the - # q function, value function, and pi head. - # Here we consider the simple case of identical encoders. input_dims=self.latent_dims, hidden_layer_dims=self.pi_and_qf_head_hiddens, hidden_layer_activation=self.pi_and_qf_head_activation, output_layer_activation="linear", - output_layer_dim=1, + output_layer_dim=required_qf_output_dim, ) @OverrideToImplementCustomLogic @@ -115,24 +131,31 @@ def build_qf_encoder(self, framework: str) -> Encoder: """ # Compute the required dimension for the action space. - required_action_dim = self.action_space.shape[0] + if isinstance(self.action_space, gym.spaces.Box): + required_action_dim = self.action_space.shape[0] + elif isinstance(self.action_space, gym.spaces.Discrete): + # for discrete action spaces, we don't need to encode the action + # because the Q-function will output a value for each action + required_action_dim = 0 + else: + self._raise_unsupported_action_space_error() # Encoder input for the Q-network contains state and action. We # need to infer the shape for the input from the state and action # spaces - if ( + if not ( isinstance(self.observation_space, gym.spaces.Box) and len(self.observation_space.shape) == 1 ): - input_space = gym.spaces.Box( - -np.inf, - np.inf, - (self.observation_space.shape[0] + required_action_dim,), - dtype=np.float32, - ) - else: raise ValueError("The observation space is not supported by RLlib's SAC.") + input_space = gym.spaces.Box( + -np.inf, + np.inf, + (self.observation_space.shape[0] + required_action_dim,), + dtype=np.float32, + ) + self.qf_encoder_hiddens = self._model_config_dict["fcnet_hiddens"][:-1] self.qf_encoder_activation = self._model_config_dict["fcnet_activation"] @@ -162,6 +185,26 @@ def build_pi_head(self, framework: str) -> Model: """ # Get action_distribution_cls to find out about the output dimension for pi_head action_distribution_cls = self.get_action_dist_cls(framework=framework) + BUILD_MAP: dict[ + type[gym.spaces.Space], Callable[[str, Distribution], Model] + ] = { + gym.spaces.Discrete: self._build_pi_head_discrete, + gym.spaces.Box: self._build_pi_head_continuous, + } + try: + # Try to get the build function for the action space type. + return BUILD_MAP[type(self.action_space)]( + framework, action_distribution_cls + ) + except KeyError: + # If the action space type is not supported, raise an error. + self._raise_unsupported_action_space_error() + + def _build_pi_head_continuous( + self, framework: str, action_distribution_cls: Distribution + ) -> Model: + """Builds the policy head for continuous action spaces.""" + # Get action_distribution_cls to find out about the output dimension for pi_head # TODO (simon): CHeck, if this holds also for Squashed Gaussian. if self._model_config_dict["free_log_std"]: _check_if_diag_gaussian( @@ -196,6 +239,24 @@ def build_pi_head(self, framework: str) -> Model: return self.pi_head_config.build(framework=framework) + def _build_pi_head_discrete( + self, framework: str, action_distribution_cls: Distribution + ) -> Model: + """Builds the policy head for discrete action spaces. The module outputs logits for Categorical + distribution. + """ + required_output_dim = action_distribution_cls.required_input_dim( + space=self.action_space, model_config=self._model_config_dict + ) + self.pi_head_config = MLPHeadConfig( + input_dims=self.latent_dims, + hidden_layer_dims=self.pi_and_qf_head_hiddens, + hidden_layer_activation=self.pi_and_qf_head_activation, + output_layer_dim=required_output_dim, + output_layer_activation="linear", + ) + return self.pi_head_config.build(framework=framework) + @OverrideToImplementCustomLogic def build_qf_head(self, framework: str) -> Model: """Build the Q function head.""" @@ -203,6 +264,24 @@ def build_qf_head(self, framework: str) -> Model: return self.qf_head_config.build(framework=framework) @override(Catalog) - def get_action_dist_cls(self, framework: str) -> "TorchSquashedGaussian": + def get_action_dist_cls(self, framework: str) -> Distribution: + """Returns the action distribution class to use for the given framework. TorchSquashedGaussian + for continuous action spaces and TorchCategorical for discrete action spaces.""" + # TODO (KIY): Catalog.get_action_dist_cls should return a type[Distribution] instead of a Distribution instance. assert framework == "torch" - return TorchSquashedGaussian + + if isinstance(self.action_space, gym.spaces.Box): + # For continuous action spaces, we use a Squashed Gaussian. + return TorchSquashedGaussian + elif isinstance(self.action_space, gym.spaces.Discrete): + # For discrete action spaces, we use a Categorical distribution. + return TorchCategorical + else: + self._raise_unsupported_action_space_error() + + def _raise_unsupported_action_space_error(self): + """Raises an error if the action space is not supported.""" + raise ValueError( + f"SAC only supports Box and Discrete action spaces. " + f"Got: {type(self.action_space)}" + ) diff --git a/rllib/algorithms/sac/sac_learner.py b/rllib/algorithms/sac/sac_learner.py index 2ec82cbf836f..8046c4c07892 100644 --- a/rllib/algorithms/sac/sac_learner.py +++ b/rllib/algorithms/sac/sac_learner.py @@ -21,6 +21,11 @@ TD_ERROR_MEAN_KEY = "td_error_mean" CRITIC_TARGET = "critic_target" ACTION_DIST_INPUTS_NEXT = "action_dist_inputs_next" +QF_TARGET_NEXT = "q_target_next" +ACTION_PROBS_NEXT = "action_probs_next" +ACTION_LOG_PROBS_NEXT = "action_log_probs_next" +ACTION_PROBS = "action_probs" +ACTION_LOG_PROBS = "action_log_probs" class SACLearner(DQNLearner): diff --git a/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py b/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py index ba4eb3b23fbf..3b62e949a9cf 100644 --- a/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py +++ b/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py @@ -1,17 +1,23 @@ +import gymnasium as gym from typing import Any, Dict +from ray.rllib.algorithms.sac.default_sac_rl_module import DefaultSACRLModule +from ray.rllib.algorithms.sac.sac_catalog import SACCatalog from ray.rllib.algorithms.sac.sac_learner import ( ACTION_DIST_INPUTS_NEXT, QF_PREDS, QF_TWIN_PREDS, + QF_TARGET_NEXT, + ACTION_LOG_PROBS_NEXT, + ACTION_PROBS_NEXT, + ACTION_PROBS, + ACTION_LOG_PROBS, ) -from ray.rllib.algorithms.sac.default_sac_rl_module import DefaultSACRLModule -from ray.rllib.algorithms.sac.sac_catalog import SACCatalog from ray.rllib.core.columns import Columns from ray.rllib.core.models.base import ENCODER_OUT, Encoder, Model from ray.rllib.core.rl_module.apis import QNetAPI, TargetNetworkAPI -from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule from ray.rllib.core.rl_module.rl_module import RLModule +from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule from ray.rllib.utils.annotations import override from ray.rllib.utils.framework import try_import_torch from ray.util.annotations import DeveloperAPI @@ -37,6 +43,7 @@ def _forward_inference(self, batch: Dict) -> Dict[str, Any]: pi_encoder_outs = self.pi_encoder(batch) # Pi head. + # assume action space is either discrete or continuous. output[Columns.ACTION_DIST_INPUTS] = self.pi(pi_encoder_outs[ENCODER_OUT]) return output @@ -52,6 +59,60 @@ def _forward_train(self, batch: Dict) -> Dict[str, Any]: "Trying to train a module that is not a learner module. Set the " "flag `inference_only=False` when building the module." ) + if isinstance(self.action_space, gym.spaces.Discrete): + return self._forward_train_discrete(batch) + elif isinstance(self.action_space, gym.spaces.Box): + return self._forward_train_continuous(batch) + else: + raise ValueError( + f"Unsupported action space type: {type(self.action_space)}. " + "Only discrete and continuous action spaces are supported." + ) + + def _forward_train_discrete(self, batch: Dict[str, Any]) -> Dict[str, Any]: + output = {} + + # SAC needs also Q function values and action logits for next observations. + batch_curr = {Columns.OBS: batch[Columns.OBS]} + batch_next = {Columns.OBS: batch[Columns.NEXT_OBS]} + + ## calculate values for the Q target ## + # Also encode the next observations (and next actions for the Q net). + pi_encoder_next_outs = self.pi_encoder(batch_next) + action_logits_next = self.pi(pi_encoder_next_outs[ENCODER_OUT]) + # TODO(inyoung): get the action dist class and use that. But currently TorchCategorical + # does not get the prob value of the actual torch distribution. So we use softmax directly + # for now. + action_probs_next = torch.nn.functional.softmax(action_logits_next, dim=-1) + + output[ACTION_PROBS_NEXT] = action_probs_next + output[ACTION_LOG_PROBS_NEXT] = action_probs_next.log() + + # (B, action_dim) + qf_target_next = self.forward_target(batch_next, squeeze=False) + output[QF_TARGET_NEXT] = qf_target_next + + qf_preds = self._qf_forward_train_helper( + batch_curr, self.qf_encoder, self.qf, squeeze=False + ) + # we don't need straight-through gradient here + output[QF_PREDS] = qf_preds + if self.twin_q: + qf_twin_preds = self._qf_forward_train_helper( + batch_curr, self.qf_twin_encoder, self.qf_twin, squeeze=False + ) + output[QF_TWIN_PREDS] = qf_twin_preds + + ## calculate values for gradient ## + pi_encoder_outs = self.pi_encoder(batch_curr) + action_logits = self.pi(pi_encoder_outs[ENCODER_OUT]) + action_probs = torch.nn.functional.softmax(action_logits, dim=-1) + output[ACTION_PROBS] = action_probs + output[ACTION_LOG_PROBS] = action_probs.log() + + return output + + def _forward_train_continuous(self, batch: Dict[str, Any]) -> Dict[str, Any]: output = {} # SAC needs also Q function values and action logits for next observations. @@ -141,9 +202,11 @@ def _forward_train(self, batch: Dict) -> Dict[str, Any]: return output @override(TargetNetworkAPI) - def forward_target(self, batch: Dict[str, Any]) -> Dict[str, Any]: + def forward_target( + self, batch: Dict[str, Any], squeeze: bool = True + ) -> Dict[str, Any]: target_qvs = self._qf_forward_train_helper( - batch, self.target_qf_encoder, self.target_qf + batch, self.target_qf_encoder, self.target_qf, squeeze=squeeze ) # If a twin Q network should be used, calculate twin Q-values and use the @@ -152,29 +215,36 @@ def forward_target(self, batch: Dict[str, Any]) -> Dict[str, Any]: target_qvs = torch.min( target_qvs, self._qf_forward_train_helper( - batch, self.target_qf_twin_encoder, self.target_qf_twin + batch, + self.target_qf_twin_encoder, + self.target_qf_twin, + squeeze=squeeze, ), ) return target_qvs @override(QNetAPI) - def compute_q_values(self, batch: Dict[str, Any]) -> Dict[str, Any]: - qvs = self._qf_forward_train_helper(batch, self.qf_encoder, self.qf) + def compute_q_values( + self, batch: Dict[str, Any], squeeze: bool = True + ) -> Dict[str, Any]: + qvs = self._qf_forward_train_helper( + batch, self.qf_encoder, self.qf, squeeze=squeeze + ) # If a twin Q network should be used, calculate twin Q-values and use the # minimum. if self.twin_q: qvs = torch.min( qvs, self._qf_forward_train_helper( - batch, self.qf_twin_encoder, self.qf_twin + batch, self.qf_twin_encoder, self.qf_twin, squeeze=squeeze ), ) return qvs @override(DefaultSACRLModule) def _qf_forward_train_helper( - self, batch: Dict[str, Any], encoder: Encoder, head: Model + self, batch: Dict[str, Any], encoder: Encoder, head: Model, squeeze: bool = True ) -> Dict[str, Any]: """Executes the forward pass for Q networks. @@ -183,21 +253,30 @@ def _qf_forward_train_helper( and actions under the key `Columns.OBS`. encoder: An `Encoder` model for the Q state-action encoder. head: A `Model` for the Q head. + squeeze: If True, squeezes the last dimension of the output if it is 1. Used for continuous action spaces. Returns: - The estimated (single) Q-value. + The estimated Q-value for the input action for continuous action spaces. + Or the Q-values for all actions for discrete action spaces. """ # Construct batch. Note, we need to feed observations and actions. - qf_batch = { - Columns.OBS: torch.concat( - (batch[Columns.OBS], batch[Columns.ACTIONS]), dim=-1 - ) - } + if isinstance(self.action_space, gym.spaces.Box): + actions = batch[Columns.ACTIONS] + qf_batch = { + Columns.OBS: torch.concat((batch[Columns.OBS], actions), dim=-1) + } + else: + # For discrete action spaces, we don't need to include the actions + # in the batch, as the Q function outputs the Q-values for each action + qf_batch = {Columns.OBS: batch[Columns.OBS]} + # Encoder forward pass. qf_encoder_outs = encoder(qf_batch) # Q head forward pass. + # (B,latent_size) -> (B, 1|action_dim) qf_out = head(qf_encoder_outs[ENCODER_OUT]) - - # Squeeze out the last dimension (Q function node). - return qf_out.squeeze(dim=-1) + if squeeze: + # Squeeze the last dimension if it is 1. + qf_out = qf_out.squeeze(-1) + return qf_out diff --git a/rllib/algorithms/sac/torch/sac_torch_learner.py b/rllib/algorithms/sac/torch/sac_torch_learner.py index 93ba1d58a0f4..8d96f22f4730 100644 --- a/rllib/algorithms/sac/torch/sac_torch_learner.py +++ b/rllib/algorithms/sac/torch/sac_torch_learner.py @@ -1,3 +1,4 @@ +import gymnasium as gym from typing import Any, Dict from ray.rllib.algorithms.algorithm_config import AlgorithmConfig @@ -13,6 +14,11 @@ QF_TWIN_LOSS_KEY, QF_TWIN_PREDS, TD_ERROR_MEAN_KEY, + ACTION_LOG_PROBS, + ACTION_LOG_PROBS_NEXT, + ACTION_PROBS, + ACTION_PROBS_NEXT, + QF_TARGET_NEXT, SACLearner, ) from ray.rllib.core.columns import Columns @@ -24,7 +30,6 @@ from ray.rllib.utils.metrics import ALL_MODULES, TD_ERROR_KEY from ray.rllib.utils.typing import ModuleID, ParamDict, TensorType - torch, nn = try_import_torch() @@ -113,7 +118,162 @@ def compute_loss_for_module( module_id: ModuleID, config: SACConfig, batch: Dict[str, Any], - fwd_out: Dict[str, TensorType] + fwd_out: Dict[str, TensorType], + ) -> TensorType: + + module = self._module[module_id] + if isinstance(module.action_space, gym.spaces.Discrete): + # Discrete action space: Use the discrete loss function. + return self._compute_loss_for_module_discrete( + module_id=module_id, + config=config, + batch=batch, + fwd_out=fwd_out, + ) + elif isinstance(module.action_space, gym.spaces.Box): + # Continuous action space: Use the continuous loss function. + return self._compute_loss_for_module_continuous( + module_id=module_id, + config=config, + batch=batch, + fwd_out=fwd_out, + ) + else: + raise ValueError( + f"Unsupported action space type: {type(module.action_space)}. " + "Only Discrete and Box action spaces are supported." + ) + + def _compute_loss_for_module_discrete( + self, + *, + module_id: ModuleID, + config: SACConfig, + batch: Dict[str, Any], + fwd_out: Dict[str, TensorType], + ) -> TensorType: + # Receive the current alpha hyperparameter. + alpha = torch.exp(self.curr_log_alpha[module_id]) + + ## Calculate Q value targets + action_probs_next = fwd_out[ACTION_PROBS_NEXT] + action_log_probs_next = fwd_out[ACTION_LOG_PROBS_NEXT] + next_q = fwd_out[QF_TARGET_NEXT] + next_v = ( + (action_probs_next * (next_q - alpha.detach() * action_log_probs_next)) + .sum(-1) + .squeeze(-1) + ) + next_v_masked = (1.0 - batch[Columns.TERMINATEDS].float()) * next_v + target_q = ( + batch[Columns.REWARDS] + (config.gamma ** batch["n_step"]) * next_v_masked + ).detach() + + # Get Q-values for the actually selected actions during rollout. + actions = batch[Columns.ACTIONS].to(dtype=torch.int64).unsqueeze(-1) + qf_pred = fwd_out[QF_PREDS].gather(dim=-1, index=actions).squeeze(-1) + if config.twin_q: + qf_twin_pred = ( + fwd_out[QF_TWIN_PREDS].gather(dim=-1, index=actions).squeeze(-1) + ) + + # Calculate the TD-error. Note, this is needed for the priority weights in + # the replay buffer. + td_error = torch.abs(qf_pred - target_q) + # If a twin Q network should be used, add the TD error of the twin Q network. + if config.twin_q: + td_error += torch.abs(qf_twin_pred - target_q) + # Rescale the TD error. + td_error *= 0.5 + + # MSBE loss for the critic(s) (i.e. Q, see eqs. (7-8) Haarnoja et al. (2018)). + # Note, this needs a sample from the current policy given the next state. + # Note further, we use here the Huber loss instead of the mean squared error + # as it improves training performance. + critic_loss = torch.mean( + batch["weights"] + * torch.nn.HuberLoss(reduction="none", delta=1.0)(qf_pred, target_q) + ) + # If a twin Q network should be used, add the critic loss of the twin Q network. + if config.twin_q: + critic_twin_loss = torch.mean( + batch["weights"] + * torch.nn.HuberLoss(reduction="none", delta=1.0)( + qf_twin_pred, target_q + ) + ) + + ## Calculate the actor loss ## + action_probs = fwd_out[ACTION_PROBS] + action_log_probs = fwd_out[ACTION_LOG_PROBS] + qf = torch.min(fwd_out[QF_PREDS], fwd_out[QF_TWIN_PREDS]).detach() + policy_loss = ( + (action_probs * (alpha.detach() * action_log_probs - qf)).sum(-1).mean() + ) + + ## Calculate the alpha loss ## + entropy = (action_log_probs * action_probs).sum(-1) + alpha_loss = -torch.mean( + self.curr_log_alpha[module_id] + * (entropy.detach() + self.target_entropy[module_id]) + ) + + total_loss = policy_loss + critic_loss + alpha_loss + if config.twin_q: + total_loss += critic_twin_loss + + # Log the TD-error with reduce=None, such that - in case we have n parallel + # Learners - we will re-concatenate the produced TD-error tensors to yield + # a 1:1 representation of the original batch. + self.metrics.log_value( + key=(module_id, TD_ERROR_KEY), + value=td_error, + reduce=None, + clear_on_reduce=True, + ) + # Log other important loss stats (reduce=mean (default), but with window=1 + # in order to keep them history free). + self.metrics.log_dict( + { + POLICY_LOSS_KEY: policy_loss, + QF_LOSS_KEY: critic_loss, + "alpha_loss": alpha_loss, + "alpha_value": alpha[0], + "log_alpha_value": torch.log(alpha)[0], + "target_entropy": self.target_entropy[module_id], + LOGPS_KEY: torch.mean(fwd_out[ACTION_LOG_PROBS]), + QF_MEAN_KEY: torch.mean(fwd_out[QF_PREDS]), + QF_MAX_KEY: torch.max(fwd_out[QF_PREDS]), + QF_MIN_KEY: torch.min(fwd_out[QF_PREDS]), + TD_ERROR_MEAN_KEY: torch.mean(td_error), + }, + key=module_id, + window=1, # <- single items (should not be mean/ema-reduced over time). + ) + + self._temp_losses[(module_id, POLICY_LOSS_KEY)] = policy_loss + self._temp_losses[(module_id, QF_LOSS_KEY)] = critic_loss + self._temp_losses[(module_id, "alpha_loss")] = alpha_loss + + # If twin Q networks should be used add a critic loss for the twin Q network. + # Note, we need this in the `self.compute_gradients()` to optimize. + if config.twin_q: + self.metrics.log_value( + key=(module_id, QF_TWIN_LOSS_KEY), + value=critic_twin_loss, + window=1, # <- single items (should not be mean/ema-reduced over time). + ) + self._temp_losses[(module_id, QF_TWIN_LOSS_KEY)] = critic_twin_loss + + return total_loss + + def _compute_loss_for_module_continuous( + self, + *, + module_id: ModuleID, + config: SACConfig, + batch: Dict[str, Any], + fwd_out: Dict[str, TensorType], ) -> TensorType: # Receive the current alpha hyperparameter. alpha = torch.exp(self.curr_log_alpha[module_id]) diff --git a/rllib/models/utils.py b/rllib/models/utils.py index 4770a118d5f0..0849a098440e 100644 --- a/rllib/models/utils.py +++ b/rllib/models/utils.py @@ -49,6 +49,8 @@ def get_activation_fn( return nn.Tanh elif name_lower == "elu": return nn.ELU + elif name_lower == "softmax": + return nn.Softmax elif framework == "jax": if name_lower in ["linear", None]: return None diff --git a/rllib/tuned_examples/sac/mountaincar_sac.py b/rllib/tuned_examples/sac/mountaincar_sac.py new file mode 100644 index 000000000000..554b02ca76aa --- /dev/null +++ b/rllib/tuned_examples/sac/mountaincar_sac.py @@ -0,0 +1,59 @@ +from torch import nn + +from ray.rllib.algorithms.sac.sac import SACConfig +from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig +from ray.rllib.utils.test_utils import add_rllib_example_script_args + +parser = add_rllib_example_script_args( + default_timesteps=20000, + default_reward=-250.0, +) +parser.set_defaults(enable_new_api_stack=True) +# Use `parser` to add your own custom command line options to this script +# and (if needed) use their values to set up `config` below. +args = parser.parse_args() + +config = ( + SACConfig() + .environment("MountainCar-v0") + .rl_module( + model_config=DefaultModelConfig( + fcnet_hiddens=[256, 256], + fcnet_activation="relu", + fcnet_kernel_initializer=nn.init.xavier_uniform_, + head_fcnet_hiddens=[], + head_fcnet_activation=None, + head_fcnet_kernel_initializer="orthogonal_", + head_fcnet_kernel_initializer_kwargs={"gain": 0.01}, + ), + ) + .reporting( + metrics_num_episodes_for_smoothing=5, + ) + .training( + initial_alpha=1.001, + # Use a smaller learning rate for the policy. + actor_lr=2e-4 * (args.num_learners or 1) ** 0.5, + critic_lr=8e-4 * (args.num_learners or 1) ** 0.5, + alpha_lr=9e-4 * (args.num_learners or 1) ** 0.5, + lr=None, + target_entropy="auto", + n_step=(2, 5), + tau=0.005, + train_batch_size_per_learner=256, + target_network_update_freq=1, + replay_buffer_config={ + "type": "PrioritizedEpisodeReplayBuffer", + "capacity": 100000, + "alpha": 1.0, + "beta": 0.0, + }, + num_steps_sampled_before_learning_starts=256 * (args.num_learners or 1), + ) +) + + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + run_rllib_example_script_experiment(config, args) From feed8902c3b12e7211c8a07a93f435036d140b51 Mon Sep 17 00:00:00 2001 From: leopardracer <136604165+leopardracer@users.noreply.github.com> Date: Tue, 15 Jul 2025 21:03:16 +0300 Subject: [PATCH 0210/1566] Minor Documentation Fixes in Protobuf Files (#53731) Description: This pull request updates comments in the `autoscaler.proto` and `serve.proto` files to improve clarity and correct minor typos. Specifically: - Fixed a typo in the comment for the `resources` field in `NodeGroupConfig` (autoscaler.proto). - Improved the comment regarding actor handle transfer in `EndpointSet` (serve.proto). No functional code changes were made; only documentation/comments were updated for better readability and accuracy. --------- Signed-off-by: leopardracer <136604165+leopardracer@users.noreply.github.com> Co-authored-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- src/ray/protobuf/autoscaler.proto | 2 +- src/ray/protobuf/serve.proto | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/ray/protobuf/autoscaler.proto b/src/ray/protobuf/autoscaler.proto index d111d113c621..c9faadbb3490 100644 --- a/src/ray/protobuf/autoscaler.proto +++ b/src/ray/protobuf/autoscaler.proto @@ -366,7 +366,7 @@ message DrainNodeReply { message NodeGroupConfig { map resources = 1; - // The minium number of nodes to launch. + // The minimum number of nodes to launch. uint32 min_count = 2; // The maximum number of nodes to launch. // -1 means unlimited. diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index ebfc36096a01..1293a12def01 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -207,7 +207,7 @@ message EndpointSet { map endpoints = 1; } -// Now Actor handle can be transfered across language through ray call, but the list of +// Now Actor handle can be transferred across language through ray call, but the list of // Actor handles can't. So we use this message wrapped a Actor name list to pass actor // list across language. When Actor handle list supports across language, this message can // be replaced. From 62bb95ddb58f815c0a1146c6dd99d3b8fd4ec798 Mon Sep 17 00:00:00 2001 From: kunling-anyscale Date: Tue, 15 Jul 2025 11:31:21 -0700 Subject: [PATCH 0211/1566] MCP Ray Serve End to End Example (#54289) Signed-off-by: Douglas Strodtman --- .../config/vocabularies/General/accept.txt | 1 + doc/source/ray-overview/examples/index.rst | 1 + ...cp_in_streamable_http_with_ray_serve.ipynb | 619 ++++++++++++++++++ ...gateway_with_existing_ray_serve_apps.ipynb | 493 ++++++++++++++ ...cp_stdio_docker_image_with_ray_serve.ipynb | 427 ++++++++++++ ...p_stdio_docker_images_with_ray_serve.ipynb | 542 +++++++++++++++ ...l) Build_docker_image_for_mcp_server.ipynb | 157 +++++ .../examples/mcp-ray-serve/Dockerfile | 9 + .../examples/mcp-ray-serve/README.ipynb | 91 +++ .../examples/mcp-ray-serve/README.md | 68 ++ .../mcp-ray-serve/brave_mcp_ray_serve.py | 125 ++++ .../build-mcp-docker-image/Dockerfile | 26 + .../podman_commands.txt | 10 + .../build-mcp-docker-image/requirements.txt | 3 + .../build-mcp-docker-image/weather.py | 102 +++ .../examples/mcp-ray-serve/ci/aws.yaml | 14 + .../examples/mcp-ray-serve/ci/build.sh | 12 + .../examples/mcp-ray-serve/ci/gce.yaml | 14 + .../examples/mcp-ray-serve/ci/nb2py.py | 91 +++ .../examples/mcp-ray-serve/ci/tests.sh | 28 + .../examples/mcp-ray-serve/configs/aws.yaml | 7 + .../examples/mcp-ray-serve/configs/gce.yaml | 7 + .../config_anyscale.yaml | 81 +++ .../config_serve.yaml | 107 +++ .../image_classifier.py | 48 ++ .../mcp_gateway.py | 69 ++ .../text_translator.py | 29 + .../mcp-ray-serve/multi_mcp_ray_serve.py | 197 ++++++ .../mcp-ray-serve/translator_mcp_ray.py | 62 ++ .../examples/mcp-ray-serve/weather_mcp_ray.py | 114 ++++ .../ray_release/byod/byod_mcp-ray-serve.sh | 12 + release/release_tests.yaml | 25 + 32 files changed, 3591 insertions(+) create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/05 (Optional) Build_docker_image_for_mcp_server.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/README.md create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/brave_mcp_ray_serve.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/Dockerfile create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/podman_commands.txt create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/requirements.txt create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/weather.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/ci/aws.yaml create mode 100755 doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/ci/gce.yaml create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/ci/nb2py.py create mode 100755 doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/configs/aws.yaml create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/configs/gce.yaml create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_anyscale.yaml create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_serve.yaml create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/image_classifier.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/mcp_gateway.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/text_translator.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/translator_mcp_ray.py create mode 100644 doc/source/ray-overview/examples/mcp-ray-serve/weather_mcp_ray.py create mode 100755 release/ray_release/byod/byod_mcp-ray-serve.sh diff --git a/.vale/styles/config/vocabularies/General/accept.txt b/.vale/styles/config/vocabularies/General/accept.txt index c700cbee2823..1b629505f9e7 100644 --- a/.vale/styles/config/vocabularies/General/accept.txt +++ b/.vale/styles/config/vocabularies/General/accept.txt @@ -103,3 +103,4 @@ uv VS Code ETDataset DLinear +Podman diff --git a/doc/source/ray-overview/examples/index.rst b/doc/source/ray-overview/examples/index.rst index aa03334ebbdd..2786aea3ee6a 100644 --- a/doc/source/ray-overview/examples/index.rst +++ b/doc/source/ray-overview/examples/index.rst @@ -14,3 +14,4 @@ Examples ./e2e-timeseries/README.ipynb ./object-detection/README.ipynb ./e2e-rag/README.ipynb + ./mcp-ray-serve/README.ipynb \ No newline at end of file diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb new file mode 100644 index 000000000000..bd9512db2b2a --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb @@ -0,0 +1,619 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c6fec099", + "metadata": {}, + "source": [ + "# Deploying a custom MCP in Streamable HTTP mode with Ray Serve\n", + "\n", + "This tutorial walks through deploying the Weather MCP server in Streamable HTTP mode with Ray Serve and FastAPI, then tests it with a simple Python client and [MCP Inspector](https://github.com/modelcontextprotocol/inspector).\n", + "\n", + "MCP supports three transports:\n", + "\n", + "* [stdio](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#stdio): Local subprocess with newline-delimited JSON over stdin/stdout. Zero-config but only for local clients.\n", + "\n", + "* [SSE (legacy, deprecated)](https://modelcontextprotocol.io/specification/2024-11-05/basic/transports#http-with-sse): HTTP+Server-Sent events, now deprecated in favor of a unified HTTP transport.\n", + "\n", + "* [Streamable HTTP](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#streamable-http): A single HTTP endpoint that handles both client→server POSTs and server→client GET/SSE streams. \n", + "\n", + "MCP in stdio mode is suitable for local or personal use, and Streamable HTTP brings **remote MCP servers** into action for enterprise and production purposes. You can also [integrate the Claude APP with remote MCP server](https://support.anthropic.com/en/articles/11175166-about-custom-integrations-using-remote-mcp). \n", + "\n", + "\n", + "## Integrate MCP in Streamable HTTP mode with Ray Serve on Anyscale\n", + "The following architecture diagram illustrates the integrations of custom MCP with Ray Serve and Anyscale Service:\n", + "\n", + "\n", + "\n", + "Integrating MCP in Streamable HTTP mode with Ray Serve on Anyscale delivers comprehensive scalability and production-grade capabilities for your AI services through two complementary layers of features:\n", + "\n", + "**Ray Serve capabilities:**\n", + "\n", + "* **Autoscaling**: Ray Serve automatically adjusts the number of replicas based on traffic demand, ensuring your service handles increased load while maintaining responsiveness during peak usage periods.\n", + "* **Load balancing**: Ray Serve intelligently distributes incoming requests across available replicas, preventing any single instance from becoming overwhelmed and maintaining consistent performance.\n", + "* **Observability**: Built-in monitoring capabilities provide visibility into your service's performance, including request metrics, resource utilization, and system health indicators.\n", + "* **Fault tolerance**: Ray Serve automatically detects and recovers from failures by restarting failed components and redistributing requests to healthy replicas, ensuring continuous service availability.\n", + "* **Composition**: Build complex services by orchestrating multiple deployments into a single pipeline, allowing you to chain preprocessing, model inference, postprocessing, and custom logic seamlessly.\n", + "\n", + "**Anyscale service additional benefits:**\n", + "\n", + "* **Production ready**: Anyscale provides enterprise-grade infrastructure management, automated deployments that make your MCP service ready for real-world production traffic.\n", + "* **[High availability](https://docs.anyscale.com/platform/services/faq#does-services-support-multiple-availability-zones-for-high-availability)**: Advanced Availability Zone aware scheduling mechanisms and zero-downtime rolling updates to ensure your service maintains high availability.\n", + "* **[Logging](https://docs.anyscale.com/monitoring/accessing-logs) and [tracing](https://docs.anyscale.com/monitoring/tracing)**: Enhanced observability with comprehensive logging, distributed tracing, and real-time monitoring dashboards that provide deep insights into request flows and system performance.\n", + "* **[Head node fault tolerance](https://docs.anyscale.com/platform/services/head-node-ft/)**: Additional resilience through managed head node redundancy, protecting against single points of failure in your Ray cluster's coordination layer.\n", + "\n", + "This combination ensures your MCP service operates with enterprise-level reliability while optimizing resource efficiency and cost-effectiveness.\n" + ] + }, + { + "cell_type": "markdown", + "id": "28400dd1", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "- Ray [serve], already included in the base Docker image\n", + "- MCP Python library \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "35274073", + "metadata": {}, + "source": [ + "### Dependencies\n", + "**Install the required Python packages and Podman:**\n", + "```bash\n", + "pip install mcp==1.11.0 asyncio==3.4.3 pydantic==2.9.2\n", + "```\n", + "\n", + "**Alternative: Docker image for Ray Serve deployment**\n", + "\n", + "You can also [build a Docker image for deployment on Anyscale](https://docs.anyscale.com/configuration/dependency-management/dependency-byod/) using the [Dockerfile in this code repo](./Dockerfile). \n", + "\n", + "**Note**\n", + " This Docker image is provided solely to deploy the MCP with Ray Serve. \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "c8301ebe", + "metadata": {}, + "source": [ + "## 1. Create the deployment script\n", + "\n", + "This script sets up a scalable weather alert and forecast service using FastAPI, FastMCP, and Ray Serve.\n", + "\n", + "It defines two asynchronous tools—get_alerts and get_forecast—which retrieve data from the National Weather Service, following the tutorial available at: https://modelcontextprotocol.io/quickstart/server.\n", + "\n", + "Use a FastAPI app configured with Streamable HTTP mode to expose these tools to support real-time, bidirectional communication. \n", + "\n", + "By default, this automatically creates an **`'/mcp'`** endpoint: `app.mount(\"/\", mcp.streamable_http_app())`.\n", + "\n", + "Finally, deploy the entire app using Ray Serve, enabling dynamic autoscaling and distributed inference when you launch it with `serve run`.\n", + "\n", + "### Important note:\n", + "\n", + "Ray Serve currently only supports the **stateless HTTP mode** in MCP. Because each replica doesn't share session state, enabling **stateless_http=True** prevents “session not found” errors when multiple replicas are running:\n", + "\n", + "`mcp = FastMCP(\"weather\", stateless_http=True)`\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5256d1c", + "metadata": {}, + "outputs": [], + "source": [ + "# Save the following code as `weather_mcp_ray.py`.\n", + "from typing import Any\n", + "import httpx\n", + "from fastapi import FastAPI\n", + "from mcp.server.fastmcp import FastMCP\n", + "import ray\n", + "from ray import serve\n", + "from contextlib import asynccontextmanager\n", + "\n", + "# Constants.\n", + "NWS_API_BASE = \"https://api.weather.gov\"\n", + "USER_AGENT = \"weather-app/1.0\"\n", + "\n", + "# Helper functions.\n", + "async def make_nws_request(url: str) -> dict[str, Any] | None:\n", + " headers = {\"User-Agent\": USER_AGENT, \"Accept\": \"application/geo+json\"}\n", + " async with httpx.AsyncClient(timeout=30.0) as client:\n", + " try:\n", + " resp = await client.get(url, headers=headers)\n", + " resp.raise_for_status()\n", + " return resp.json()\n", + " except Exception:\n", + " return None\n", + "\n", + "\n", + "def format_alert(feature: dict) -> str:\n", + " props = feature[\"properties\"]\n", + " return (\n", + " f\"Event: {props.get('event', 'Unknown')}\\n\"\n", + " f\"Area: {props.get('areaDesc', 'Unknown')}\\n\"\n", + " f\"Severity: {props.get('severity', 'Unknown')}\\n\"\n", + " f\"Description: {props.get('description', 'No description available')}\\n\"\n", + " f\"Instructions: {props.get('instruction', 'No specific instructions provided')}\"\n", + " )\n", + "\n", + "# Instantiate FastMCP and register tools via decorators.\n", + "mcp = FastMCP(\"weather\", stateless_http=True)\n", + "\n", + "@mcp.tool()\n", + "async def get_alerts(state: str) -> str:\n", + " \"\"\"Fetch active alerts for a given state code (e.g., 'CA').\"\"\"\n", + " url = f\"{NWS_API_BASE}/alerts/active/area/{state}\"\n", + " data = await make_nws_request(url)\n", + " if not data or \"features\" not in data:\n", + " return \"Unable to fetch alerts or no alerts found.\"\n", + " features = data[\"features\"]\n", + " if not features:\n", + " return \"No active alerts for this state.\"\n", + " return \"\\n---\\n\".join(format_alert(f) for f in features)\n", + "\n", + "@mcp.tool()\n", + "async def get_forecast(latitude: float, longitude: float) -> str:\n", + " \"\"\"Fetch a 5-period weather forecast for given lat/lon.\"\"\"\n", + " points_url = f\"{NWS_API_BASE}/points/{latitude},{longitude}\"\n", + " points_data = await make_nws_request(points_url)\n", + " if not points_data or \"properties\" not in points_data:\n", + " return \"Unable to fetch forecast data for this location.\"\n", + "\n", + " forecast_url = points_data[\"properties\"].get(\"forecast\")\n", + " if not forecast_url:\n", + " return \"No forecast URL found for this location.\"\n", + "\n", + " forecast_data = await make_nws_request(forecast_url)\n", + " if not forecast_data or \"properties\" not in forecast_data:\n", + " return \"Unable to fetch detailed forecast.\"\n", + "\n", + " periods = forecast_data[\"properties\"].get(\"periods\", [])\n", + " if not periods:\n", + " return \"No forecast periods available.\"\n", + "\n", + " parts: list[str] = []\n", + " for p in periods[:5]:\n", + " parts.append(\n", + " f\"{p['name']}:\\nTemperature: {p['temperature']}°{p['temperatureUnit']}\\n\" +\n", + " f\"Wind: {p['windSpeed']} {p['windDirection']}\\n\" +\n", + " f\"Forecast: {p['detailedForecast']}\"\n", + " )\n", + " return \"\\n---\\n\".join(parts)\n", + "\n", + "## FastAPI app and Ray Serve setup.\n", + "@asynccontextmanager\n", + "async def lifespan(app: FastAPI):\n", + " # 1) Mount the MCP app.\n", + " app.mount(\"/\", mcp.streamable_http_app())\n", + "\n", + " # 2) Enter the session_manager's context.\n", + " async with mcp.session_manager.run():\n", + " yield\n", + "\n", + "fastapi_app = FastAPI(lifespan=lifespan)\n", + "\n", + "@serve.deployment(\n", + " autoscaling_config={\n", + " \"min_replicas\": 1, \n", + " \"max_replicas\": 20, \n", + " \"target_ongoing_requests\": 5\n", + " },\n", + " ray_actor_options={\"num_cpus\": 0.2}\n", + ")\n", + "@serve.ingress(fastapi_app)\n", + "class WeatherMCP:\n", + " def __init__(self):\n", + " pass\n", + " \n", + "\n", + "# Ray Serve entry point.\n", + "app = WeatherMCP.bind()\n" + ] + }, + { + "cell_type": "markdown", + "id": "1e7dbb50", + "metadata": {}, + "source": [ + "## 2. Run Ray Serve in the terminal\n", + "\n", + "```bash\n", + "serve run weather_mcp_ray:app\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "ace30082", + "metadata": {}, + "source": [ + "## 3. Test with a Python client\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e07ff37", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import asyncio\n", + "import httpx\n", + "from mcp.client.streamable_http import streamablehttp_client\n", + "from mcp import ClientSession\n", + "\n", + "BASE_URL = \"http://localhost:8000\"\n", + "STREAM_URL = f\"{BASE_URL}/mcp\"\n", + "\n", + "async def main() -> None:\n", + " async with streamablehttp_client(STREAM_URL) as (r, w, _):\n", + " async with ClientSession(r, w) as session:\n", + " await session.initialize()\n", + "\n", + " tools = await session.list_tools()\n", + " print(\"Available tools:\")\n", + " for t in tools.tools:\n", + " print(f\" • {t.name}: {t.description}\")\n", + " print()\n", + "\n", + " alerts = await session.call_tool(\n", + " name=\"get_alerts\", arguments={\"state\": \"CA\"}\n", + " )\n", + " print(\"=== Active Alerts for CA ===\")\n", + " print(alerts.content[0].text)\n", + " print()\n", + "\n", + " forecast = await session.call_tool(\n", + " name=\"get_forecast\",\n", + " arguments={\"latitude\": 34.05, \"longitude\": -118.24},\n", + " )\n", + " print(\"=== 5-Period Forecast for LA ===\")\n", + " print(forecast.content[0].text)\n", + " print()\n", + "\n", + "\n", + "# ──────── How to run in Jupyter Notebook ────────────────────────────\n", + "# await main()\n", + "# ────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "# ──────── How to run as a standalone Python script ──────────────────\n", + "# import asyncio\n", + "#\n", + "# if __name__ == \"__main__\":\n", + "# # Create and run the event loop\n", + "# asyncio.run(main())\n", + "# ────────────────────────────────────────────────────────────────────" + ] + }, + { + "cell_type": "markdown", + "id": "48b4e822", + "metadata": {}, + "source": [ + "### To terminate Ray serve:\n", + "\n", + "```bash\n", + "serve shutdown --yes\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "49e5fb6e", + "metadata": {}, + "source": [ + "## 4. Production deployment with Anyscale service\n", + "\n", + "For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "Use the following command to deploy the service:\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "b7e7f38e", + "metadata": {}, + "source": [ + "```bash\n", + "anyscale service deploy weather_mcp_ray:app --name=weather_mcp_service\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "1cacfcf4", + "metadata": {}, + "source": [ + "## 5. Query the production service\n", + "\n", + "When you deploy, you expose the service to a publicly accessible IP address, which you can send requests to.\n", + "\n", + "In the preceding cell’s output, copy your API_KEY and BASE_URL. As an example, the values look like the following:\n", + "\n", + "* BASE_URL = \"https://multi-mcp-tool-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\"\n", + "* TOKEN = \"z3RIKzZwHDF9sV60o7M48WsOY1Z50dsXDrWRbxHYtPQ\"\n", + "\n", + "\n", + "\n", + "\n", + "Fill in the following placeholder values for the BASE_URL and API_KEY in the following Python requests object:\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "596b0d7d", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import asyncio\n", + "import httpx\n", + "from mcp.client.streamable_http import streamablehttp_client\n", + "from mcp import ClientSession\n", + "\n", + "BASE_URL = \"https://weather-mcp-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\" # Replace with your own URL\n", + "TOKEN = \"SonDp89sqyElLcVX1SLcMu1qeVfqyVOpfKjL7D0vjrM\" # Replace with your token\n", + "STREAM_URL = f\"{BASE_URL}/mcp\"\n", + "\n", + "# # Common headers for auth.\n", + "headers = {\n", + " \"Authorization\": f\"Bearer {TOKEN}\"\n", + "}\n", + "\n", + "async def main() -> None:\n", + "\n", + " # Pass the headers into the HTTP client so the server sees a valid JSON-RPC + SSE handshake.\n", + " async with streamablehttp_client(STREAM_URL, headers=headers) as (r, w, _):\n", + " async with ClientSession(r, w) as session:\n", + " # This now sends the JSON-RPC \"initialize\" under the hood.\n", + " await session.initialize()\n", + "\n", + " tools = await session.list_tools()\n", + " print(\"Available tools:\")\n", + " for t in tools.tools:\n", + " print(f\" • {t.name}: {t.description}\")\n", + " print()\n", + "\n", + " alerts = await session.call_tool(\n", + " name=\"get_alerts\", arguments={\"state\": \"CA\"}\n", + " )\n", + " print(\"=== Active Alerts for CA ===\")\n", + " print(alerts.content[0].text)\n", + " print()\n", + "\n", + " forecast = await session.call_tool(\n", + " name=\"get_forecast\",\n", + " arguments={\"latitude\": 34.05, \"longitude\": -118.24},\n", + " )\n", + " print(\"=== 5-Period Forecast for LA ===\")\n", + " print(forecast.content[0].text)\n", + " print()\n", + "\n", + "# ──────── How to run in Jupyter Notebook ────────────────────────────\n", + "# await main()\n", + "# ────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "# ──────── How to run as a standalone Python script ──────────────────\n", + "# import asyncio\n", + "#\n", + "# if __name__ == \"__main__\":\n", + "# # Create and run the event loop\n", + "# asyncio.run(main())\n", + "# ────────────────────────────────────────────────────────────────────" + ] + }, + { + "cell_type": "markdown", + "id": "9b23541c", + "metadata": {}, + "source": [ + "## 6. Test the service with MCP inspector\n", + "\n", + "The **MCP inspector** is a developer tool for testing and debugging MCP servers: https://github.com/modelcontextprotocol/inspector.\n", + "\n", + "\n", + "### On your local machine\n", + "\n", + "Install Node.js and NPM: https://nodejs.org/en/download\n", + "\n", + "\n", + "Launch the MCP Inspector. **Make sure your MCP inspector version is = 0.16.1**:\n", + "\n", + "```bash\n", + "npx -y @modelcontextprotocol/inspector@0.16.1\n", + "```\n", + "\n", + "You should see the message: `🔍 MCP Inspector is up and running at http://127.0.0.1:6274`.\n", + "\n", + "Then open the link \"http://127.0.0.1:6274\" and configure the following:\n", + "\n", + "* Transport Type: Streamable HTTP\n", + "* URL: https://weather-mcp-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com/mcp\n", + "* Bearer Token: SonDp89sqyElLcVX1SLcMu1qeVfqyVOpfKjL7D0vjrM\n", + "\n", + "**Note**: \n", + "* Include the **\"/mcp\"** in your URL, otherwise the connection fails. \n", + "* After MCP Inspector is up and running, you would receive the message such as: \"http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=f8c738c6788295b7d71831ac89f64faea2659af8b4f460038b4c6156ee8e72fd\" You need to enter the Proxy Session Token in the MCP inspector as well. Otherwise you would encounter error \"Proxy Authentication Required\".\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "6a2f2d03", + "metadata": {}, + "source": [ + "You can see that it's connected. Then, go to **Tools** and click **`List Tools`**, to see that two tools are available.\n", + "\n", + "After that, you can select a tool and test it. Once you click **`Run Tool`**, you see the **`Tool Result`**.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "d1ee02dc", + "metadata": {}, + "source": [ + "## 7. Terminate the Anyscale Service\n", + "After testing the service, you can shutdown the serive with this command:\n", + "```bash\n", + "anyscale service terminate --name=weather_mcp_service\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "859dea84", + "metadata": {}, + "source": [ + "## 8. Try it yourself with a translator MCP example with Ray Serve using GPU\n", + "\n", + "Run the following code to deploy your own service using fractional GPUs and verify it with the MCP Inspector." + ] + }, + { + "cell_type": "markdown", + "id": "7648c849", + "metadata": {}, + "source": [ + "\n", + "Here is the code from `translator_mcp_ray.py`:" + ] + }, + { + "cell_type": "markdown", + "id": "b7cd4645", + "metadata": {}, + "source": [ + "```python\n", + "import asyncio\n", + "from fastapi import FastAPI\n", + "from mcp.server.fastmcp import FastMCP\n", + "from contextlib import asynccontextmanager\n", + "from ray import serve\n", + "from transformers import pipeline\n", + "\n", + "# ---------------------------------------------------------------------\n", + "# 1. FastMCP business logic for translation\n", + "# ---------------------------------------------------------------------\n", + "mcp = FastMCP(\"translator\", stateless_http=True)\n", + "\n", + "# Pre-load the translation model (English → French).\n", + "translator_pipeline = pipeline(\"translation_en_to_fr\", model=\"t5-small\")\n", + "\n", + "@mcp.tool()\n", + "async def translate(text: str) -> str:\n", + " \"\"\"Translate English text to French.\"\"\"\n", + " loop = asyncio.get_event_loop()\n", + " # Offload the sync pipeline call to a thread to avoid blocking the event loop.\n", + " result = await loop.run_in_executor(None, translator_pipeline, text)\n", + " return result[0][\"translation_text\"]\n", + "\n", + "\n", + "\n", + "## FastAPI app and Ray Serve setup.\n", + "@asynccontextmanager\n", + "async def lifespan(app: FastAPI):\n", + " # 1) Mount the MCP app.\n", + " app.mount(\"/\", mcp.streamable_http_app())\n", + "\n", + " # 2) Enter the session_manager's context.\n", + " async with mcp.session_manager.run():\n", + " yield\n", + "\n", + "fastapi_app = FastAPI(lifespan=lifespan)\n", + "\n", + "@serve.deployment(\n", + " autoscaling_config={\n", + " \"min_replicas\": 2,\n", + " \"max_replicas\": 20,\n", + " \"target_ongoing_requests\": 10\n", + " },\n", + " ray_actor_options={\"num_gpus\": 0.5, \n", + " 'runtime_env':{\n", + " \"pip\": [\n", + " \"transformers\", \n", + " \"torch\" \n", + " ]\n", + " }}\n", + ")\n", + "@serve.ingress(fastapi_app)\n", + "class TranslatorMCP:\n", + " def __init__(self):\n", + " pass\n", + " \n", + "\n", + "# Ray Serve entry point.\n", + "app = TranslatorMCP.bind()\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "2ffedf36", + "metadata": {}, + "source": [ + " If successful, you see the `Tool Result` similar to the image below:\n", + " \n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb new file mode 100644 index 000000000000..5b498c88604f --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb @@ -0,0 +1,493 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "182839e9", + "metadata": {}, + "source": [ + "# Deploy an MCP Gateway with existing Ray Serve apps\n", + "\n", + "This guide shows how to put a front-end on your existing Ray Serve services with a single MCP gateway—no code changes required in your classifier or translator. This guide follows this multi-app deployment pattern: https://docs.ray.io/en/latest/serve/multi-app.html.\n", + "\n", + "## Why MCP Gateway on Anyscale?\n", + "If you already have Ray Serve services running on Anyscale (or your own cluster), you can front‐end them with a single MCP Gateway without touching the code. Just write one new `mcp_gateway.py`, regenerate your `config.yaml`, and an Anyscale service automatically spins up:\n", + "\n", + "* **Independent scaling for each Serve app**: Each app keeps its own autoscaling, load balancing, CPU/GPU settings, etc.\n", + "\n", + "* **A unified, streamable HTTP endpoint (/mcp) that multiplexes calls**\n", + "\n", + "* **No need to merge codebases**: Your classifier still lives in `image_classifier.py`, translator in `text_translator.py`; MCP gateway sits in front.\n", + "\n", + "The following is the architecture diagram illustrating the MCP Gateway with Ray Serve and Anyscale service:\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "dbf08c9e", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "- Ray [serve], included in the base Docker image\n", + "- MCP Python library \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "9e5194d4", + "metadata": {}, + "source": [ + "### Dependencies\n", + "**Install the required Python packages and Podman:**\n", + "```bash\n", + "pip install mcp==1.11.0 asyncio==3.4.3 pydantic==2.9.2\n", + "```\n", + "\n", + "**Alternative: Docker image for Ray Serve deployment**\n", + "\n", + "You can also [build a Docker image for deployment on Anyscale](https://docs.anyscale.com/configuration/dependency-management/dependency-byod/) using the [Dockerfile included in this code repo](./Dockerfile). \n", + "\n", + "**Note**\n", + " This Docker image is provided solely to deploy the MCP with Ray Serve. \n" + ] + }, + { + "cell_type": "markdown", + "id": "0de07bbf", + "metadata": {}, + "source": [ + "## 1. Integrate with existing Ray Serve apps\n", + "\n", + "Assume you already have two Ray Serve services: an image classifier and a text translator. Both code files live in the `mcp-gateway-with-existing-ray-apps` folder:\n", + "* [image_classifier.py](./mcp-gateway-with-existing-ray-apps/image_classifier.py)\n", + "* [text_translator.py](./mcp-gateway-with-existing-ray-apps/text_translator.py)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "3feccbca", + "metadata": {}, + "source": [ + "Now, create a new file named `mcp_gateway.py` that uses FastMCP to bridge between these services. \n", + "\n", + "In that file, you can retrieve the image‐classifier handle:\n", + "\n", + "```\n", + "clf = serve.get_deployment_handle(\"image_classifier\", app_name=\"image_classifier_app\")\n", + "```\n", + "\n", + "Ensure that in your Serve config you name the deployment `image_classifier` and the application `image_classifier_app`. \n", + "\n", + "Similarly, you can retrieve the text-translator handle as follows:\n", + "\n", + "```\n", + "tr = serve.get_deployment_handle(\"text_translator\", app_name=\"text_translator_app\")\n", + "```\n", + "\n", + "Ensure that in your Serve config you name the deployment `text_translator` and the application `text_translator_app`. \n", + "\n", + "The config details are in the next step." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ceab9279", + "metadata": {}, + "outputs": [], + "source": [ + "from contextlib import asynccontextmanager\n", + "import fastapi\n", + "from ray import serve\n", + "from mcp.server.fastmcp import FastMCP\n", + "\n", + "# --------------------------------------------------------------------------\n", + "# 1. Create FastMCP in stateless http (streamable) mode\n", + "# --------------------------------------------------------------------------\n", + "mcp = FastMCP(\"Image-N-Translate\", stateless_http=True)\n", + "\n", + "# --------------------------------------------------------------------------\n", + "# 2. Register your tools BEFORE mounting the app\n", + "# --------------------------------------------------------------------------\n", + "\n", + "@mcp.tool()\n", + "async def classify(image_url: str) -> str:\n", + " \"\"\"Return the top-1 label for an image URL.\"\"\"\n", + " clf = serve.get_deployment_handle(\"image_classifier\", app_name=\"image_classifier_app\")\n", + " return await clf.classify.remote(image_url)\n", + "\n", + "@mcp.tool()\n", + "async def translate(text: str) -> str:\n", + " \"\"\"Translate English → German.\"\"\"\n", + " tr = serve.get_deployment_handle(\"text_translator\", app_name=\"text_translator_app\")\n", + " return await tr.translate.remote(text)\n", + "\n", + "\n", + "# ----------------------------------------------------------------------------\n", + "# 3. Build FastAPI app with lifespan to mount the FastMCP streamable HTTP app\n", + "# ----------------------------------------------------------------------------\n", + "@asynccontextmanager\n", + "async def lifespan(app: fastapi.FastAPI):\n", + " # After startup, mount the streamable-http MCP app.\n", + " app.mount(\"/\", mcp.streamable_http_app())\n", + "\n", + " # Keep MCP’s session manager running for the lifetime of this process.\n", + " async with mcp.session_manager.run():\n", + " yield\n", + "\n", + "api = fastapi.FastAPI(lifespan=lifespan)\n", + "\n", + "# --------------------------------------------------------------------------\n", + "# 4. Wrap in a Ray Serve deployment\n", + "# --------------------------------------------------------------------------\n", + "@serve.deployment(\n", + " autoscaling_config={\n", + " \"min_replicas\": 2,\n", + " \"max_replicas\": 10,\n", + " \"target_ongoing_requests\": 50,\n", + " },\n", + " ray_actor_options={\n", + " \"num_cpus\": 0.5\n", + " }\n", + ")\n", + "@serve.ingress(api)\n", + "class MCPGateway:\n", + "\n", + " def __init__(self):\n", + " pass \n", + "\n", + "\n", + "# --------------------------------------------------------------------------\n", + "# 5. Expose the Serve app graph\n", + "# --------------------------------------------------------------------------\n", + "app = MCPGateway.bind()" + ] + }, + { + "cell_type": "markdown", + "id": "6ff55cf3", + "metadata": {}, + "source": [ + "## 2. Compile the config file\n", + "\n", + "Go to the `mcp-gateway-with-existing-ray-apps` directory containing those 3 Python files and run the following command:\n", + "\n", + "```bash\n", + "cd mcp-gateway-with-existing-ray-apps\n", + "serve build image_classifier:app text_translator:app mcp_gateway:app -o config_serve_temp.yaml\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "ac739b53", + "metadata": {}, + "source": [ + "In the `config_serve_temp.yaml` file, application names are auto-generated by default (e.g., app1, app2, etc.). \n", + "\n", + "However, as noted earlier in the code snippet: `clf = serve.get_deployment_handle(\"image_classifier\", app_name=\"image_classifier_app\")`\n", + "\n", + "The app_name must match the name specified in the configuration file. Therefore, you need to update the `applications` section of your YAML file as follows:\n", + "\n", + "\n", + "```\n", + "applications:\n", + " - name: image_classifier_app\n", + " import_path: image_classifier:app\n", + " route_prefix: /classify\n", + " # …other settings…\n", + "\n", + " - name: text_translator_app\n", + " import_path: text_translator:app\n", + " route_prefix: /translate\n", + " # …other settings…\n", + "\n", + " - name: mcp_gateway_app\n", + " import_path: mcp_gateway:app\n", + " route_prefix: /mcp_gateway\n", + " # …other settings…\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "eb53cb77", + "metadata": {}, + "source": [ + "## 3. Run the service with Ray Serve in terminal\n", + "\n", + "We have provied the finalized `config_serve.yaml` file in the folder `mcp-gateway-with-existing-ray-apps/` that include the previous changes, simply run:\n", + "```bash\n", + "serve run config_serve.yaml\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "6ca61df3", + "metadata": {}, + "source": [ + "## 4. Test with Python client\n", + "\n", + "The service starts on the URL `http://localhost:8000`, because you define the route_prefix: /mcp_gateway on the mcp_gateway_app, therefore, the MCP endpoint becomes `http://localhost:8000/mcp_gateway/mcp`. \n", + "\n", + "Note that the endpoint URL adds \"/mcp\" because you have `app.mount(\"/\", mcp.streamable_http_app())` in the `mcp_gateway.py`.\n", + " \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20e7c0e5", + "metadata": {}, + "outputs": [], + "source": [ + "import asyncio\n", + "from mcp.client.streamable_http import streamablehttp_client\n", + "from mcp import ClientSession\n", + "\n", + "SAMPLE_IMAGE_URL = \"https://doggos-dataset.s3.us-west-2.amazonaws.com/samara.png\"\n", + "SAMPLE_TEXT = \"How are you?\"\n", + "url = \"http://localhost:8000/mcp_gateway/mcp\"\n", + "\n", + "async def main():\n", + " async with streamablehttp_client(url=url) as (read, write, _):\n", + " async with ClientSession(read, write) as session:\n", + " await session.initialize()\n", + "\n", + " # List available tools\n", + " tools = await session.list_tools()\n", + " print(\"Tools:\")\n", + " for t in tools.tools:\n", + " print(f\" • {t.name}: {t.description}\")\n", + " print()\n", + "\n", + " # Test calls\n", + " tests = {\n", + " \"classify\": {\"image_url\": SAMPLE_IMAGE_URL},\n", + " \"translate\": {\"text\": SAMPLE_TEXT},\n", + " }\n", + "\n", + " for t in tools.tools:\n", + " if t.name in tests:\n", + " print(f\"--- {t.name} ---\")\n", + " res = await session.call_tool(name=t.name, arguments=tests[t.name])\n", + " for chunk in res.content:\n", + " print(chunk.text)\n", + " print()\n", + "\n", + "\n", + "# ──────── How to run in Jupyter Notebook ────────────────────────────\n", + "# await main()\n", + "# ────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "# ──────── How to run as a standalone Python script ──────────────────\n", + "# import asyncio\n", + "#\n", + "# if __name__ == \"__main__\":\n", + "# # Create and run the event loop\n", + "# asyncio.run(main())\n", + "# ────────────────────────────────────────────────────────────────────\n" + ] + }, + { + "cell_type": "markdown", + "id": "479cc657", + "metadata": {}, + "source": [ + "### To terminate Ray serve:\n", + "\n", + "```bash\n", + "serve shutdown --yes\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "11c0e39d", + "metadata": {}, + "source": [ + "## 5. Production deployment with Anyscale service\n", + "\n", + "First, copy the `config_serve.yaml` file to a new file named `config_anyscale.yaml`. Then, remove the `proxy_location`, `http_options`, `grpc_options`, and `logging_config` fields. Anyscale services don't support these fields. You can also add the `name` field with the value `mcp-gateway-app-service` to indicate the service name.\n", + "\n", + "For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "Use the following command to deploy the service:\n", + "\n", + "```bash\n", + "anyscale service deploy -f \"config_anyscale.yaml\"\n", + "```\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "92d52b98", + "metadata": {}, + "source": [ + "## 6. Query the production service\n", + "\n", + "When you deploy, you expose the service to a publicly accessible IP address, which you can send requests to.\n", + "\n", + "In the preceding cell’s output, copy your API_KEY and BASE_URL. As an example, the values look like the following:\n", + "\n", + "* BASE_URL = \"https://mcp-gateway-app-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\"\n", + "* TOKEN = \"CCq8xuiXup_tWcyo-CjfcdyMhiTAnCzQkuXChnmnzoc\"\n", + "\n", + "\n", + "\n", + "\n", + "Fill in the following placeholder values for the BASE_URL and API_KEY in the following Python requests object:\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe73cdc1", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from mcp.client.streamable_http import streamablehttp_client\n", + "from mcp import ClientSession\n", + "\n", + "BASE_URL = \"https://mcp-gateway-app-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\" # Replace with your own URL\n", + "TOKEN = \"CCq8xuiXup_tWcyo-CjfcdyMhiTAnCzQkuXChnmnzoc\" # Replace with your own token\n", + "url = f\"{BASE_URL}/mcp_gateway/mcp\"\n", + "\n", + "# # Common headers for auth\n", + "headers = {\n", + " \"Authorization\": f\"Bearer {TOKEN}\"\n", + "}\n", + "\n", + "async def main():\n", + " async with streamablehttp_client(url=url, headers=headers) as (read, write, _):\n", + " async with ClientSession(read, write) as session:\n", + " await session.initialize()\n", + "\n", + " # List available tools\n", + " tools = await session.list_tools()\n", + " print(\"Tools:\")\n", + " for t in tools.tools:\n", + " print(f\" • {t.name}: {t.description}\")\n", + " print()\n", + "\n", + " # Test calls\n", + " tests = {\n", + " \"classify\": {\"image_url\": SAMPLE_IMAGE_URL},\n", + " \"translate\": {\"text\": SAMPLE_TEXT},\n", + " }\n", + "\n", + " for t in tools.tools:\n", + " if t.name in tests:\n", + " print(f\"--- {t.name} ---\")\n", + " res = await session.call_tool(name=t.name, arguments=tests[t.name])\n", + " for chunk in res.content:\n", + " print(chunk.text)\n", + " print()\n", + "\n", + "# ──────── How to run in Jupyter Notebook ────────────────────────────\n", + "# await main()\n", + "# ────────────────────────────────────────────────────────────────────\n", + "\n", + "\n", + "# ──────── How to run as a standalone Python script ──────────────────\n", + "# import asyncio\n", + "#\n", + "# if __name__ == \"__main__\":\n", + "# # Create and run the event loop\n", + "# asyncio.run(main())\n", + "# ────────────────────────────────────────────────────────────────────\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "85331b7a", + "metadata": {}, + "source": [ + "## 7. Test with MCP Inspector" + ] + }, + { + "cell_type": "markdown", + "id": "1b0080d1", + "metadata": {}, + "source": [ + "Follow the instructions in Notebook #1 to set up MCP Inspector on your local machine. \n", + "\n", + "Then go to the `http://127.0.0.1:6274/` to find the Inspector UI and enter the following: \n", + "\n", + "* Transport Type: Streamable HTTP\n", + "* URL: https://mcp-gateway-app-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com/mcp_gateway/mcp\n", + "* Bearer token = \"CCq8xuiXup_tWcyo-CjfcdyMhiTAnCzQkuXChnmnzoc\"\n", + "\n", + "Note: Use your own service URL and bearer token.\n", + "\n", + "Then you can test the following remote MCP servers that have connected with your Ray serve apps. \n", + "\n", + "\n", + "### Image classifier tool calling result:\n", + "\n", + "\n", + "\n", + "\n", + "### Text translator tool calling result:\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "59b2207d", + "metadata": {}, + "source": [ + "\n", + "## 8. Terminate the Anyscale Service\n", + "After testing the service, you can shutdown the serive with this command:\n", + "```bash\n", + "anyscale service terminate --name=mcp-gateway-app-service\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb new file mode 100644 index 000000000000..c560e89ab288 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb @@ -0,0 +1,427 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4f0cfeed", + "metadata": {}, + "source": [ + "# Deploying an MCP STDIO Server as a scalable HTTP service with Ray Serve\n", + "\n", + "Deploying an existing MCP as a HTTP Service with Ray Serve, as shown in the tutorial, can make your service more reliable and easier to scale. This approach is beneficial for the following reasons:\n", + "\n", + "## Addressing MCP stdio Mode limitations\n", + "[MCP in stdio mode](https://modelcontextprotocol.io/docs/concepts/transports#standard-input%2Foutput-stdio), which uses standard input/output streams, is typically run locally for command-line tools or simple integrations. This makes it difficult to deploy as a service because it relies on local process communication, which isn't suitable for distributed or cloud environments.\n", + "\n", + "Many of the official Docker images on the “shelf” default to stdio mode, making them incompatible with remote servers and large-scale deployments. By using Ray Serve, you can expose any stdio-based MCP server as an HTTP service without modifying or rebuilding your existing Docker images. This approach delivers several key benefits:\n", + "\n", + "* **No code changes or image rebuilds**: You don’t have to rewrite your MCP server or rebuild its Docker images—Ray Serve wraps the existing container and handles the transport layer for you.\n", + "\n", + "* **Automatic tool discovery**: Retrieve a list of available tools via a simple HTTP GET to the /tools endpoint—no custom scripting required.\n", + "\n", + "* **Standardized HTTP API**: Invoke any tool by POSTing to the /call endpoint, passing the tool name and parameters in JSON.\n", + "\n", + "* **Cloud-native scalability**: Deploy behind load balancers, autoscale horizontally, and integrate with service meshes or API gateways as you would with any other HTTP microservice.\n", + "\n", + "By translating stdio-mode MCP servers into HTTP endpoints with Ray Serve, you gain the flexibility and reliability needed for production-grade deployments—without touching your existing codebase.\n", + "\n", + "\n", + "## Benefits of Ray Serve deployment on Anyscale\n", + "Converting MCP to a HTTP service using Ray Serve, as shown in the tutorial, addresses the deployment challenges of stdio mode. It makes the service easier to manage and deploy, especially in production, with additional features:\n", + "\n", + "**Ray Serve capabilities:**\n", + "* **Autoscaling**: Ray Serve automatically adjusts the number of replicas based on traffic demand, ensuring your service handles increased load while maintaining responsiveness during peak usage periods.\n", + "* **Load balancing**: Ray Serve intelligently distributes incoming requests across available replicas, preventing any single instance from becoming overwhelmed and maintaining consistent performance.\n", + "* **Observability**: Built-in monitoring capabilities provide visibility into your service's performance, including request metrics, resource utilization, and system health indicators.\n", + "* **Fault tolerance**: Ray Serve automatically detects and recovers from failures by restarting failed components and redistributing requests to healthy replicas, ensuring continuous service availability.\n", + "\n", + "**Anyscale service additional benefits:**\n", + "* **Production ready**: Anyscale provides enterprise-grade infrastructure management and automated deployments that make your MCP service ready for real-world production traffic.\n", + "* **[High availability](https://docs.anyscale.com/platform/services/faq#does-services-support-multiple-availability-zones-for-high-availability)**: Advanced availability zone aware scheduling mechanisms and zero-downtime rolling updates to ensure your service maintains high availability.\n", + "* **[Logging](https://docs.anyscale.com/monitoring/accessing-logs) and [Tracing](https://docs.anyscale.com/monitoring/tracing)**: Enhanced observability with comprehensive logging, distributed tracing, and real-time monitoring dashboards that provide deep insights into request flows and system performance.\n", + "* **[Head node fault tolerance](https://docs.anyscale.com/platform/services/head-node-ft/)**: Additional resilience through managed head node redundancy, protecting against single points of failure in your Ray cluster's coordination layer.\n", + "* **Composition**: Build complex services by orchestrating multiple deployments into a single pipeline, allowing you to chain preprocessing, model inference, postprocessing, and custom logic seamlessly.\n", + "\n", + "\n", + "**Note**:\n", + "* If you want to use **off-the-shelf MCP Docker images** to deploy a scalable MCP service, this tutorial still works. However, with this approach you need to build some custom code in your agent to list and call the tools properly. \n", + "* For **deeper integrations with Ray Serve using your own custom MCP tools**, you can also use MCP in Streamable HTTP mode with Ray Serve. See Notebook #1 and #2 for that approach. This allows you directly [integrate Claude with remote MCP servers](https://support.anthropic.com/en/articles/11175166-about-custom-integrations-using-remote-mcp). \n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7955c87b", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "- Ray [Serve], already included in the base Docker image\n", + "- Podman\n", + "- A Brave API key set in your environment (`BRAVE_API_KEY`)\n", + "- MCP Python library \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "3869b666", + "metadata": {}, + "source": [ + "### Dependencies\n", + "\n", + "**Build Docker image for Ray Serve deployment**\n", + "\n", + "In this tutorial you need to [build a Docker image for deployment on Anyscale](https://docs.anyscale.com/configuration/dependency-management/dependency-byod/) using the [Dockerfile included in this code repo](./Dockerfile). \n", + "\n", + "The reason is that when you run `apt-get install -y podman` (e.g. installing a system package) from the workspace terminal, it only lives in the Ray head node and is not propagated to your Ray worker nodes. \n", + "\n", + "After building the Docker image, navigate to the **Dependencies** tab in Workspaces and select the corresponding image you just created, and set the **BRAVE_API_KEY** environment variable.\n", + "\n", + "**Note**\n", + " This Docker image is provided solely to deploy the MCP with Ray Serve. Ensure that your MCP docker images, like `docker.io/mcp/brave-search`, are already published to your own private registry or public registry. \n", + "\n", + "### Common issues\n", + "\n", + "1. **FileNotFoundError: [Errno 2] No such file or directory**\n", + "- Usually indicates Podman isn't installed correctly. Verify the Podman installation.\n", + "\n", + "2. **KeyError: 'BRAVE_API_KEY'**\n", + "- Ensure you have exported BRAVE_API_KEY in your environment or included it in your dependency configuration." + ] + }, + { + "cell_type": "markdown", + "id": "46eedb56", + "metadata": {}, + "source": [ + "## 1. Create the deployment file\n", + "Save the following code as `brave_mcp_ray_serve.py`. This script defines a Ray Serve deployment that proxies requests to the MCP Brave Search server with Podman:\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a0bca811", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import os\n", + "import asyncio\n", + "import logging\n", + "from contextlib import AsyncExitStack\n", + "from typing import Any, Dict, List\n", + "\n", + "from fastapi import FastAPI, Request, HTTPException\n", + "from ray import serve\n", + "\n", + "from mcp import ClientSession, StdioServerParameters\n", + "from mcp.client.stdio import stdio_client\n", + "\n", + "app = FastAPI()\n", + "logger = logging.getLogger(\"MCPDeployment\")\n", + "\n", + "\n", + "@serve.deployment(num_replicas=3, ray_actor_options={\"num_cpus\": 0.5})\n", + "@serve.ingress(app)\n", + "class BraveSearchDeployment:\n", + " \"\"\"MCP deployment that exposes every tool provided by its server.\n", + "\n", + " * **GET /tools** - list tools (name, description, and input schema)\n", + " * **POST /call** - invoke a tool\n", + "\n", + " ```json\n", + " {\n", + " \"tool_name\": \"\", // optional - defaults to brave_web_search\n", + " \"tool_args\": { ... } // **required** - arguments for the tool\n", + " }\n", + " ```\n", + " \"\"\"\n", + "\n", + " DEFAULT_TOOL = \"brave_web_search\"\n", + "\n", + " def __init__(self) -> None:\n", + " self._init_task = asyncio.create_task(self._initialize())\n", + "\n", + " # ------------------------------------------------------------------ #\n", + " # 1. Start podman + MCP session\n", + " # ------------------------------------------------------------------ #\n", + " async def _initialize(self) -> None:\n", + " params = StdioServerParameters(\n", + " command=\"podman\",\n", + " args=[\n", + " \"run\",\n", + " \"-i\",\n", + " \"--rm\",\n", + " \"-e\",\n", + " f\"BRAVE_API_KEY={os.environ['BRAVE_API_KEY']}\",\n", + " \"docker.io/mcp/brave-search\",\n", + " ],\n", + " env=os.environ.copy(),\n", + " )\n", + "\n", + " self._exit_stack = AsyncExitStack()\n", + "\n", + " stdin, stdout = await self._exit_stack.enter_async_context(stdio_client(params))\n", + "\n", + " self.session: ClientSession = await self._exit_stack.enter_async_context(ClientSession(stdin, stdout))\n", + " await self.session.initialize()\n", + "\n", + " logger.info(\"BraveSearchDeployment replica ready.\")\n", + "\n", + " async def _ensure_ready(self) -> None:\n", + " \"\"\"Block until _initialize finishes (and surface its errors).\"\"\"\n", + " await self._init_task\n", + "\n", + " # ------------------------------------------------------------------ #\n", + " # 2. Internal helper: list tools\n", + " # ------------------------------------------------------------------ #\n", + " async def _list_tools(self) -> List[Dict[str, Any]]:\n", + " await self._ensure_ready()\n", + " resp = await self.session.list_tools()\n", + " return [\n", + " {\n", + " \"name\": tool.name,\n", + " \"description\": tool.description,\n", + " \"input_schema\": tool.inputSchema,\n", + " }\n", + " for tool in resp.tools\n", + " ]\n", + "\n", + " # ------------------------------------------------------------------ #\n", + " # 3. HTTP endpoints\n", + " # ------------------------------------------------------------------ #\n", + " @app.get(\"/tools\")\n", + " async def tools(self):\n", + " \"\"\"Return all tools exposed by the backing MCP server.\"\"\"\n", + " return {\"tools\": await self._list_tools()}\n", + "\n", + " @app.post(\"/call\")\n", + " async def call_tool(self, request: Request):\n", + " \"\"\"Generic endpoint to invoke any tool exposed by the server.\"\"\"\n", + " body = await request.json()\n", + "\n", + " tool_name: str = body.get(\"tool_name\", self.DEFAULT_TOOL)\n", + " tool_args: Dict[str, Any] | None = body.get(\"tool_args\")\n", + "\n", + " if tool_args is None:\n", + " raise HTTPException(400, \"must include 'tool_args'\")\n", + "\n", + " await self._ensure_ready()\n", + "\n", + " try:\n", + " result = await self.session.call_tool(tool_name, tool_args)\n", + " return {\"result\": result}\n", + " except Exception as exc:\n", + " logger.exception(\"MCP tool call failed\")\n", + " raise HTTPException(500, \"Tool execution error\") from exc\n", + "\n", + " # ------------------------------------------------------------------ #\n", + " # 4. Tidy shutdown\n", + " # ------------------------------------------------------------------ #\n", + " async def __del__(self):\n", + " if hasattr(self, \"_exit_stack\"):\n", + " await self._exit_stack.aclose()\n", + "\n", + "\n", + "# Entry-point object for `serve run …`\n", + "brave_search_tool = BraveSearchDeployment.bind()" + ] + }, + { + "cell_type": "markdown", + "id": "68ca040d", + "metadata": {}, + "source": [ + "**Note:**\n", + "\n", + "* In the Ray cluster, use **Podman** instead of Docker to run and manage containers. This approach aligns with the guidelines provided in the [Ray Serve multi-app container deployment documentation](https://docs.ray.io/en/latest/serve/advanced-guides/multi-app-container.html).\n", + "\n", + "* Additionally, for images such as `\"docker.io/mcp/brave-search\"`, explicitly include the **`\"docker.io/\"`** prefix to ensure Podman correctly identifies the image URI.\n", + "\n", + "* Set the `@serve.deployment(num_replicas=3, ray_actor_options={\"num_cpus\": 0.5})` as an example. For more details to configure Ray Serve deployments, see https://docs.ray.io/en/latest/serve/configure-serve-deployment.html." + ] + }, + { + "cell_type": "markdown", + "id": "dad291df", + "metadata": {}, + "source": [ + "## 2. Run the service with Ray Serve in the workspace\n", + "\n", + "You can run the following command in the terminal to deploy the service using Ray Serve:\n", + "\n", + "```bash\n", + "serve run brave_mcp_ray_serve:brave_search_tool\n", + "```\n", + "This starts the service on `http://localhost:8000`." + ] + }, + { + "cell_type": "markdown", + "id": "ef3e5f84", + "metadata": {}, + "source": [ + "## 3. Test the service\n", + "**List available tools**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b9c0f784", + "metadata": {}, + "outputs": [], + "source": [ + "import httpx, asyncio\n", + "from pprint import pprint\n", + "import requests\n", + "\n", + "BASE_URL = \"http://localhost:8000\"\n", + "\n", + "response = requests.get(f\"{BASE_URL}/tools\", timeout=10)\n", + "response.raise_for_status()\n", + "tools = response.json()\n", + "pprint(tools)" + ] + }, + { + "cell_type": "markdown", + "id": "d4c5b717", + "metadata": {}, + "source": [ + "**Invoke the Brave Web Search tool:**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b0d6768", + "metadata": {}, + "outputs": [], + "source": [ + "# Invoke the brave_web_search tool\n", + "query = \"best tacos in Los Angeles\"\n", + "payload = {\"tool_name\": \"brave_web_search\", \"tool_args\": {\"query\": query}}\n", + "resp = requests.post(f\"{BASE_URL}/call\", json=payload)\n", + "print(f\"\\n\\nQuery:{query}\")\n", + "print(\"\\n\\nResults:\\n\\n\")\n", + "pprint(resp.json())" + ] + }, + { + "cell_type": "markdown", + "id": "24abf463", + "metadata": {}, + "source": [ + "## 4. Production deployment with Anyscale service\n", + "\n", + "For production deployment, use Anyscale Services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "Use the following command to deploy the service:\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7389f9a1", + "metadata": {}, + "source": [ + "```bash\n", + "anyscale service deploy brave_mcp_ray_serve:brave_search_tool --name=brave_search_tool_service\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "689d700f", + "metadata": {}, + "source": [ + "**Note:**\n", + " \n", + "This Anyscale service pulls the associated dependencies, compute config, and service config from the workspace. To define these explicitly, you can deploy from a config.yaml file using the -f flag. See [ServiceConfig reference](https://docs.anyscale.com/reference/service-api/#serviceconfig) for details." + ] + }, + { + "cell_type": "markdown", + "id": "25755fc6", + "metadata": {}, + "source": [ + "## 5. Query the production service\n", + "\n", + "When you deploy, you expose the service to a publicly accessible IP address, which you can send requests to.\n", + "\n", + "In the preceding cell’s output, copy your API_KEY and BASE_URL. As an example, the values look like the following:\n", + "\n", + "* BASE_URL: https://brave-search-tool-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\n", + "* TOKEN: yW2n0QPjUyUfyS6W6rIRIoEfFr80-JjXmnoEQGbTe7E\n", + "\n", + "\n", + "\n", + "\n", + "Fill in the following placeholder values for the BASE_URL and API_KEY in the following Python requests object:\n" + ] + }, + { + "cell_type": "markdown", + "id": "08d679c7", + "metadata": {}, + "source": [ + "```python\n", + "import httpx\n", + "import asyncio\n", + "from pprint import pprint\n", + "import requests\n", + "\n", + "# Service specific config.\n", + "BASE_URL = \"https://brave-search-tool-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\" # Replace with your own URL\n", + "TOKEN = \"yW2n0QPjUyUfyS6W6rIRIoEfFr80-JjXmnoEQGbTe7E\" # Replace with your own token\n", + "\n", + "# Prepare the auth header.\n", + "HEADERS = {\n", + " \"Authorization\": f\"Bearer {TOKEN}\"\n", + "}\n", + "\n", + "# List tools.\n", + "resp = requests.get(f\"{BASE_URL}/tools\", headers=HEADERS)\n", + "resp.raise_for_status()\n", + "print(\"Tools:\\n\\n\")\n", + "pprint(resp.json())\n", + "\n", + "# Invoke search.\n", + "query = \"best tacos in Los Angeles\"\n", + "payload = {\"tool_name\": \"brave_web_search\", \"tool_args\": {\"query\": query}}\n", + "resp = requests.post(f\"{BASE_URL}/call\", json=payload, headers=HEADERS)\n", + "print(f\"\\n\\nQuery:{query}\")\n", + "print(\"\\n\\nResults:\\n\\n\")\n", + "pprint(resp.json())\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb new file mode 100644 index 000000000000..07751535090d --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb @@ -0,0 +1,542 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8fa68386", + "metadata": {}, + "source": [ + "# Deploying multiple MCP services with Ray Serve \n", + "This tutorial deploys two MCP services—Brave Search and Fetch—using Ray Serve, leveraging features like autoscaling, fractional CPU allocation, and seamless multi-service routing. \n", + "\n", + "Combined with Anyscale, this setup allows you to run production-grade services with minimal overhead, auto-provision compute as needed, and deploy updates without downtime. Whether you're scaling up a single model or routing across many, this pattern provides a clean, extensible path to deployment.\n", + "\n", + "It’s also very easy to add more MCP services—just call build_mcp_deployment for each new service and bind it in the router." + ] + }, + { + "cell_type": "markdown", + "id": "f60fee14", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "- Ray [Serve], already included in the base Docker image\n", + "- Podman\n", + "- A Brave API key set in your environment (`BRAVE_API_KEY`)\n", + "- MCP Python library \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "826cc042", + "metadata": {}, + "source": [ + "### Dependencies\n", + "\n", + "**Build Docker image for Ray Serve deployment**\n", + "\n", + "In this tutorial you need to [build a Docker image for deployment on Anyscale](https://docs.anyscale.com/configuration/dependency-management/dependency-byod/) using the [Dockerfile included in this code repo](./Dockerfile). \n", + "\n", + "The reason is that when you run `apt-get install -y podman` (e.g. installing a system package) from the workspace terminal, it only lives in the Ray head node and is not propagated to your Ray worker nodes. \n", + "\n", + "After building the Docker image, navigate to the **Dependencies** tab in Workspaces and select the corresponding image you just created, and set the **BRAVE_API_KEY** environment variable.\n", + "\n", + "**Note**\n", + " This Docker image is provided solely to deploy the MCP with Ray Serve. Ensure that your MCP docker images, like `docker.io/mcp/brave-search`, are already published to your own private registry or public registry. \n", + "\n", + "### Common issues\n", + "\n", + "1. **FileNotFoundError: [Errno 2] No such file or directory**\n", + "- Usually indicates Podman isn't installed correctly. Verify the Podman installation.\n", + "\n", + "2. **KeyError: 'BRAVE_API_KEY'**\n", + "- Ensure you have exported BRAVE_API_KEY in your environment or included it in your dependency configuration." + ] + }, + { + "cell_type": "markdown", + "id": "4136a5ae", + "metadata": {}, + "source": [ + "## 1. Create the deployment file\n", + "Save the following code as `multi_mcp_ray_serve.py`: \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75728757", + "metadata": {}, + "outputs": [], + "source": [ + "import asyncio\n", + "import logging\n", + "import os\n", + "from contextlib import AsyncExitStack\n", + "from typing import Any, Dict, List, Optional\n", + "\n", + "from fastapi import FastAPI, HTTPException, Request\n", + "from ray import serve\n", + "from ray.serve.handle import DeploymentHandle\n", + "\n", + "from mcp import ClientSession, StdioServerParameters\n", + "from mcp.client.stdio import stdio_client\n", + "\n", + "logger = logging.getLogger(\"multi_mcp_serve\")\n", + "\n", + "def _podman_args(\n", + " image: str,\n", + " *,\n", + " extra_args: Optional[List[str]] = None,\n", + " env: Optional[Dict[str, str]] = None,\n", + ") -> List[str]:\n", + " args = [\"run\", \"-i\", \"--rm\"]\n", + " for key, value in (env or {}).items():\n", + " if key.upper() == \"PATH\":\n", + " continue\n", + " args += [\"-e\", f\"{key}={value}\"]\n", + " if extra_args:\n", + " args += extra_args\n", + " args.append(image)\n", + " return args\n", + "\n", + "class _BaseMCP:\n", + " _PODMAN_ARGS: List[str] = []\n", + " _ENV: Dict[str, str] = {}\n", + "\n", + " def __init__(self):\n", + " self._ready = asyncio.create_task(self._startup())\n", + "\n", + " async def _startup(self):\n", + " params = StdioServerParameters(\n", + " command=\"podman\",\n", + " args=self._PODMAN_ARGS,\n", + " env=self._ENV,\n", + " )\n", + " self._stack = AsyncExitStack()\n", + " stdin, stdout = await self._stack.enter_async_context(stdio_client(params))\n", + " self.session = await self._stack.enter_async_context(ClientSession(stdin, stdout))\n", + " await self.session.initialize()\n", + " logger.info(\"%s replica ready\", type(self).__name__)\n", + "\n", + " async def _ensure_ready(self):\n", + " await self._ready\n", + "\n", + " async def list_tools(self) -> List[Dict[str, Any]]:\n", + " await self._ensure_ready()\n", + " resp = await self.session.list_tools()\n", + " return [\n", + " {\"name\": t.name, \"description\": t.description, \"input_schema\": t.inputSchema}\n", + " for t in resp.tools\n", + " ]\n", + "\n", + " async def call_tool(self, tool_name: str, tool_args: Dict[str, Any]) -> Any:\n", + " await self._ensure_ready()\n", + " return await self.session.call_tool(tool_name, tool_args)\n", + "\n", + " async def __del__(self):\n", + " if hasattr(self, \"_stack\"):\n", + " await self._stack.aclose()\n", + "\n", + "def build_mcp_deployment(\n", + " *,\n", + " name: str,\n", + " docker_image: str,\n", + " num_replicas: int = 3,\n", + " num_cpus: float = 0.5,\n", + " autoscaling_config: Optional[Dict[str, Any]] = None,\n", + " server_command: Optional[str] = None,\n", + " extra_podman_args: Optional[List[str]] = None,\n", + " env: Optional[Dict[str, str]] = None,\n", + ") -> serve.Deployment:\n", + " \"\"\"\n", + " - If autoscaling_config is provided, Ray Serve will autoscale between\n", + " autoscaling_config['min_replicas'] and ['max_replicas'].\n", + " - Otherwise it will launch `num_replicas` fixed replicas.\n", + " \"\"\"\n", + " deployment_env = env or {}\n", + " podman_args = _podman_args(docker_image, extra_args=extra_podman_args, env=deployment_env)\n", + " if server_command:\n", + " podman_args.append(server_command)\n", + "\n", + " # Build kwargs for the decorator:\n", + " deploy_kwargs: Dict[str, Any] = {\n", + " \"name\": name,\n", + " \"ray_actor_options\": {\"num_cpus\": num_cpus},\n", + " }\n", + " if autoscaling_config:\n", + " deploy_kwargs[\"autoscaling_config\"] = autoscaling_config\n", + " else:\n", + " deploy_kwargs[\"num_replicas\"] = num_replicas\n", + "\n", + " @serve.deployment(**deploy_kwargs)\n", + " class MCP(_BaseMCP):\n", + " _PODMAN_ARGS = podman_args\n", + " _ENV = deployment_env\n", + "\n", + " return MCP\n", + "\n", + "# -------------------------\n", + "# HTTP router code \n", + "# -------------------------\n", + "\n", + "api = FastAPI()\n", + "\n", + "@serve.deployment\n", + "@serve.ingress(api)\n", + "class Router:\n", + " def __init__(self,\n", + " brave_search: DeploymentHandle,\n", + " fetch: DeploymentHandle) -> None:\n", + " self._mcps = {\"brave_search\": brave_search, \"fetch\": fetch}\n", + "\n", + " @api.get(\"/{mcp_name}/tools\")\n", + " async def list_tools_http(self, mcp_name: str):\n", + " handle = self._mcps.get(mcp_name)\n", + " if not handle:\n", + " raise HTTPException(404, f\"MCP {mcp_name} not found\")\n", + " try:\n", + " return {\"tools\": await handle.list_tools.remote()}\n", + " except Exception as exc:\n", + " logger.exception(\"Listing tools failed\")\n", + " raise HTTPException(500, str(exc))\n", + "\n", + " @api.post(\"/{mcp_name}/call\")\n", + " async def call_tool_http(self, mcp_name: str, request: Request):\n", + " handle = self._mcps.get(mcp_name)\n", + " if not handle:\n", + " raise HTTPException(404, f\"MCP {mcp_name} not found\")\n", + " body = await request.json()\n", + " tool_name = body.get(\"tool_name\")\n", + " tool_args = body.get(\"tool_args\")\n", + " if tool_name is None or tool_args is None:\n", + " raise HTTPException(400, \"Missing 'tool_name' or 'tool_args'\")\n", + " try:\n", + " result = await handle.call_tool.remote(tool_name, tool_args)\n", + " return {\"result\": result}\n", + " except Exception as exc:\n", + " logger.exception(\"Tool call failed\")\n", + " raise HTTPException(500, str(exc))\n", + "\n", + "# -------------------------\n", + "# Binding deployments\n", + "# -------------------------\n", + "\n", + "if \"BRAVE_API_KEY\" not in os.environ:\n", + " raise RuntimeError(\"BRAVE_API_KEY must be set before `serve run`.\")\n", + "\n", + "# Example: autoscaling BraveSearch between 1 and 5 replicas,\n", + "# targeting ~10 concurrent requests per replica.\n", + "BraveSearch = build_mcp_deployment(\n", + " name=\"brave_search\",\n", + " docker_image=\"docker.io/mcp/brave-search\",\n", + " env={\"BRAVE_API_KEY\": os.environ[\"BRAVE_API_KEY\"]},\n", + " num_cpus=0.2,\n", + " autoscaling_config={\n", + " \"min_replicas\": 1,\n", + " \"max_replicas\": 5,\n", + " \"target_num_ongoing_requests_per_replica\": 10,\n", + " },\n", + ")\n", + "\n", + "# Example: keep Fetch at a fixed 2 replicas.\n", + "Fetch = build_mcp_deployment(\n", + " name=\"fetch\",\n", + " docker_image=\"docker.io/mcp/fetch\",\n", + " num_replicas=2,\n", + " num_cpus=0.2,\n", + ")\n", + "\n", + "brave_search_handle = BraveSearch.bind()\n", + "fetch_handle = Fetch.bind()\n", + "app = Router.bind(brave_search_handle, fetch_handle)" + ] + }, + { + "cell_type": "markdown", + "id": "faa57dda", + "metadata": {}, + "source": [ + "You can run the app programmatically to launch it in the workspace:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "451222c9", + "metadata": {}, + "outputs": [], + "source": [ + "serve.run(app)" + ] + }, + { + "cell_type": "markdown", + "id": "1937b183", + "metadata": {}, + "source": [ + "Or you can run it using the command line shown in next section." + ] + }, + { + "cell_type": "markdown", + "id": "4fa8f107", + "metadata": {}, + "source": [ + "**Note:**\n", + "\n", + "* On the Ray cluster, use **Podman** instead of Docker to run and manage containers. This approach aligns with the guidelines provided in the [Ray Serve multi-app container deployment documentation](https://docs.ray.io/en/latest/serve/advanced-guides/multi-app-container.html).\n", + "\n", + "* Additionally, for images such as `\"docker.io/mcp/brave-search\"`, explicitly include the **`\"docker.io/\"`** prefix to ensure Podman correctly identifies the image URI.\n", + "\n", + "* This tutorial passes only the `num_cpus` parameter to `ray_actor_options`. Feel free to modify the code to include additional supported parameters as outlined here:\n", + " - https://docs.ray.io/en/latest/serve/resource-allocation.html#\n", + "\n", + "* Auto-scaling parameters are provided in `autoscaling_config` as an example. For more details on configuring auto-scaling in Ray Serve deployments, see:\n", + " - https://docs.ray.io/en/latest/serve/configure-serve-deployment.html \n", + " - https://docs.ray.io/en/latest/serve/autoscaling-guide.html\n", + " - https://docs.ray.io/en/latest/serve/advanced-guides/advanced-autoscaling.html#serve-advanced-autoscaling" + ] + }, + { + "cell_type": "markdown", + "id": "39b65a29", + "metadata": {}, + "source": [ + "## 2. Run the service with Ray Serve in the workspace\n", + "\n", + "You can run the following command in the terminal to deploy the service using Ray Serve:\n", + "\n", + "```\n", + "serve run multi_mcp_ray_serve:app\n", + "```\n", + "\n", + "\n", + "This starts the service on `http://localhost:8000`." + ] + }, + { + "cell_type": "markdown", + "id": "35894574", + "metadata": {}, + "source": [ + "## e. Test the service" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "466ef969", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "from pprint import pprint\n", + "\n", + "# Configuration.\n", + "BASE_URL = \"http://localhost:8000\" # Local tooling API base URL\n", + "\n", + "def list_tools(service: str):\n", + " \"\"\"\n", + " Retrieve the list of available tools for a given service.\n", + " \"\"\"\n", + " url = f\"{BASE_URL}/{service}/tools\"\n", + " response = requests.get(url)\n", + " response.raise_for_status()\n", + " return response.json()[\"tools\"]\n", + "\n", + "\n", + "def call_tool(service: str, tool_name: str, tool_args: dict):\n", + " \"\"\"\n", + " Invoke a specific tool on a given service with the provided arguments.\n", + " \"\"\"\n", + " url = f\"{BASE_URL}/{service}/call\"\n", + " payload = {\"tool_name\": tool_name, \"tool_args\": tool_args}\n", + " response = requests.post(url, json=payload)\n", + " response.raise_for_status()\n", + " return response.json()[\"result\"]\n", + "\n", + "# List Brave Search tools.\n", + "print(\"=== Brave Search: Available Tools ===\")\n", + "brave_tools = list_tools(\"brave_search\")\n", + "pprint(brave_tools)\n", + "\n", + "# Run a query via Brave Search.\n", + "search_tool = brave_tools[0][\"name\"]\n", + "print(f\"\\nUsing tool '{search_tool}' to search for best tacos in Los Angeles...\")\n", + "search_result = call_tool(\n", + " service=\"brave_search\",\n", + " tool_name=search_tool,\n", + " tool_args={\"query\": \"best tacos in Los Angeles\"}\n", + ")\n", + "print(\"Web Search Results:\")\n", + "pprint(search_result)\n", + "\n", + "# List Fetch tools.\n", + "print(\"\\n=== Fetch Service: Available Tools ===\")\n", + "fetch_tools = list_tools(\"fetch\")\n", + "pprint(fetch_tools)\n", + "\n", + "# Fetch a URL.\n", + "fetch_tool = fetch_tools[0][\"name\"]\n", + "print(f\"\\nUsing tool '{fetch_tool}' to fetch https://example.com...\")\n", + "fetch_result = call_tool(\n", + " service=\"fetch\",\n", + " tool_name=fetch_tool,\n", + " tool_args={\"url\": \"https://example.com\"}\n", + ")\n", + "print(\"Fetch Results:\")\n", + "pprint(fetch_result)\n" + ] + }, + { + "cell_type": "markdown", + "id": "bebf93b2", + "metadata": {}, + "source": [ + "## 6. Production deployment with Anyscale service\n", + "\n", + "For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "Use the following command to deploy the service:\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "9e6d1861", + "metadata": {}, + "source": [ + "```bash\n", + "anyscale service deploy multi_mcp_ray_serve:app --name=multi_mcp_tool_service\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "8ceff16e", + "metadata": {}, + "source": [ + "**Note:**\n", + " \n", + "This Anyscale Service pulls the associated dependencies, compute config, and service config from the workspace. To define these explicitly, you can deploy from a config.yaml file using the -f flag. See [ServiceConfig reference](https://docs.anyscale.com/reference/service-api/#serviceconfig) for details." + ] + }, + { + "cell_type": "markdown", + "id": "22ee0406", + "metadata": {}, + "source": [ + "## 5. Query the production service\n", + "\n", + "When you deploy, you expose the service to a publicly accessible IP address which you can send requests to.\n", + "\n", + "In the preceding cell’s output, copy your API_KEY and BASE_URL. As an example, the values look like the following:\n", + "\n", + "* BASE_URL = \"https://multi-mcp-tool-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\"\n", + "* TOKEN = \"z3RIKzZwHDF9sV60o7M48WsOY1Z50dsXDrWRbxHYtPQ\"\n", + "\n", + "\n", + "\n", + "\n", + "Fill in the following placeholder values for the BASE_URL and API_KEY in the following Python requests object:\n" + ] + }, + { + "cell_type": "markdown", + "id": "225ca572", + "metadata": {}, + "source": [ + "```python\n", + "import requests\n", + "from pprint import pprint\n", + "\n", + "# Configuration\n", + "BASE_URL = \"https://multi-mcp-tool-service-jgz99.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com\" # Replace with your own URL\n", + "TOKEN = \"z3RIKzZwHDF9sV60o7M48WsOY1Z50dsXDrWRbxHYtPQ\" # Replace with your own token\n", + "\n", + "\n", + "HEADERS = {\n", + " \"Authorization\": f\"Bearer {TOKEN}\"\n", + "}\n", + "\n", + "def list_tools(service: str):\n", + " \"\"\"\n", + " Retrieve the list of available tools for a given service.\n", + " \"\"\"\n", + " url = f\"{BASE_URL}/{service}/tools\"\n", + " response = requests.get(url, headers=HEADERS)\n", + " response.raise_for_status()\n", + " return response.json()[\"tools\"]\n", + "\n", + "def call_tool(service: str, tool_name: str, tool_args: dict):\n", + " \"\"\"\n", + " Invoke a specific tool on a given service with the provided arguments.\n", + " \"\"\"\n", + " url = f\"{BASE_URL}/{service}/call\"\n", + " payload = {\"tool_name\": tool_name, \"tool_args\": tool_args}\n", + " response = requests.post(url, json=payload, headers=HEADERS)\n", + " response.raise_for_status()\n", + " return response.json()[\"result\"]\n", + "\n", + "# List Brave Search tools.\n", + "print(\"=== Brave Search: Available Tools ===\")\n", + "brave_tools = list_tools(\"brave_search\")\n", + "pprint(brave_tools)\n", + "\n", + "# Perform a search for \"best tacos in Los Angeles\".\n", + "search_tool = brave_tools[0][\"name\"]\n", + "print(f\"\\nUsing tool '{search_tool}' to search for best tacos in Los Angeles...\")\n", + "search_result = call_tool(\n", + " service=\"brave_search\",\n", + " tool_name=search_tool,\n", + " tool_args={\"query\": \"best tacos in Los Angeles\"}\n", + ")\n", + "print(\"Web Search Results:\")\n", + "pprint(search_result)\n", + "\n", + "# List Fetch tools.\n", + "print(\"\\n=== Fetch Service: Available Tools ===\")\n", + "fetch_tools = list_tools(\"fetch\")\n", + "pprint(fetch_tools)\n", + "\n", + "# Fetch the content of example.com\n", + "fetch_tool = fetch_tools[0][\"name\"]\n", + "print(f\"\\nUsing tool '{fetch_tool}' to fetch https://example.com...\")\n", + "fetch_result = call_tool(\n", + " service=\"fetch\",\n", + " tool_name=fetch_tool,\n", + " tool_args={\"url\": \"https://example.com\"}\n", + ")\n", + "print(\"Fetch Results:\")\n", + "pprint(fetch_result)\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/05 (Optional) Build_docker_image_for_mcp_server.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/05 (Optional) Build_docker_image_for_mcp_server.ipynb new file mode 100644 index 000000000000..6e369bffb1ee --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/05 (Optional) Build_docker_image_for_mcp_server.ipynb @@ -0,0 +1,157 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Build a Docker image for an MCP server \n", + "This tutorial builds a Docker image for an MCP server using Podman, specifically tailored for deploying on Anyscale with Ray Serve. It complements the official Anthropic tutorial for [Building the MCP weather server](https://modelcontextprotocol.io/quickstart/server), which doesn't include Docker image-building instructions.\n", + "\n", + "Docker simplifies the process of building and distributing MCP servers by packaging them into standardized, portable containers. This eliminates issues related to dependencies and environment configuration. It also enables streamlined cloud development—enhancing testing, security, and cross-platform deployment for agent-focused tools.\n", + "\n", + "Unfortunately, you can't use the [Anyscale Docker image build farm](https://docs.anyscale.com/configuration/dependency-management/dependency-container-images/) to build this image, as it doesn't support the Docker `COPY` command from local storage.\n", + "\n", + "Therefore, this tutorial shows you how to build the MCP Docker image directly from the Anyscale workspace. Alternatively, you can also [build it from your local machine](https://docs.anyscale.com/container-image/build-image-tutorial). \n", + "\n", + "See https://hub.docker.com/catalogs/mcp for the Docker images collection for MCP servers. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites and folder layout\n", + "Install the Podman: \n", + "```bash\n", + "sudo apt-get update && sudo apt-get install -y podman\n", + "```\n", + "\n", + "Ensure you have Podman successfully installed:\n", + "```bash\n", + "podman --version\n", + "```\n", + "\n", + "See the `build-mcp-docker-image` folder that contains the following files:\n", + "\n", + "```text\n", + "build-mcp-docker-image/\n", + "├── Dockerfile \n", + "├── requirements.txt\n", + "└── weather.py \n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Dockerfile for a weather MCP server\n", + "\n", + "This Dockerfile creates a lightweight image based on `python3.10` for running a weather MCP server. It installs system dependencies and the [`uv`](https://github.com/astral-sh/uv) CLI tool for efficient package and application management. \n", + "\n", + "The Dockerfile sets the working directory to `/app`, installs Python packages from `requirements.txt` using uv, copies the full project into the container, and finally runs the `weather.py` server script using `uv`.\n", + "\n", + "\n", + "```python\n", + "# Use Python 3.10 base image.\n", + "FROM python:3.10-slim\n", + "\n", + "# Install system dependencies.\n", + "RUN apt-get update && \\\n", + " apt-get install -y curl ca-certificates && \\\n", + " rm -rf /var/lib/apt/lists/*\n", + "\n", + "# Install the 'uv' CLI.\n", + "RUN curl -LsSf https://astral.sh/uv/install.sh | sh\n", + "\n", + "# Make sure 'uv' is on PATH.\n", + "ENV PATH=\"/root/.local/bin:${PATH}\"\n", + "\n", + "# Set the working directory.\n", + "WORKDIR /app\n", + "\n", + "# Copy and install only requirements first (caching).\n", + "COPY requirements.txt .\n", + "RUN uv pip install --system -r requirements.txt\n", + "\n", + "# Now copy everything from the current directory into /app.\n", + "COPY . .\n", + "\n", + "# Run the server.\n", + "CMD [\"uv\", \"run\", \"weather.py\"]\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Build a Docker image with Podman\n", + "\n", + "Navigate to the project directory:\n", + "\n", + "```bash\n", + "cd build-mcp-docker-image\n", + "```\n", + "\n", + "Run the following Podman command to build the Docker image, ensuring you use the --events-backend=file flag to prevent build errors on Anyscale:\n", + "```bash\n", + "podman build \\\n", + " --events-backend=file \\\n", + " --cgroup-manager=cgroupfs \\\n", + " -t weather-mcp:latest .\n", + "```\n", + "\n", + "**Note**: \n", + "\n", + "Omitting the `--events-backend=file` flag may result in the following error:\n", + "```text\n", + "ERRO[0000] unable to write build event: \"write unixgram @11c5a->/run/systemd/journal/socket: sendmsg: no such file or directory\"\n", + "```\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Push the Docker image to registry\n", + "\n", + "Push the built image to your own container registry. You should replace `your-dockerhub-username/weather-mcp` with your actual image name:\n", + "\n", + "```bash\n", + "podman tag weather-mcp:latest your-dockerhub-username/weather-mcp:latest\n", + "\n", + "podman push \\\n", + " --events-backend=file \\\n", + " your-dockerhub-username/weather-mcp:latest ## make sure replace with your own dockerhub username or repo\n", + "```\n", + "\n", + "Make sure you're logged into your Docker Hub account or container registry before pushing:\n", + "```bash\n", + "podman login docker.io\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Next steps\n", + "You have successfully built and pushed a Docker image for your MCP server, which is ready to deploy.\n", + "\n", + "Once you push the image, you can deploy the MCP server on Anyscale using Ray Serve. \n", + "\n", + "Follow the next two tutorials for single and multiple MCP server deployments using Ray Serve." + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile b/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile new file mode 100644 index 000000000000..181dd5ea04fb --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile @@ -0,0 +1,9 @@ +FROM anyscale/ray:2.47.1-py312 + +RUN mkdir -p /home/ray/default + +RUN sudo apt-get update && \ + sudo apt-get install -y podman && \ + sudo rm -rf /var/lib/apt/lists/* + +RUN python3 -m pip install --no-cache-dir "mcp==1.11.0" "asyncio==3.4.3 pydantic==2.9.2" diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb new file mode 100644 index 000000000000..c72298e00a4a --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb @@ -0,0 +1,91 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e3a1b273", + "metadata": {}, + "source": [ + "# Deploy custom Model Control Planes (MCP) servers\n", + "\n", + "

    \n", + "\n", + "This tutorial demonstrates how to build and deploy **custom Model Control Plane (MCP)** servers using Ray Serve in both **HTTP streaming** and **stdio** modes. MCP enables scalable, dynamic, and multi-tenant model serving by decoupling model routing from application logic.\n", + "\n", + "- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploy a single MCP server in **HTTP streaming mode**, using Ray Serve and FastAPI.\n", + "- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Route traffic to existing Ray Serve applications through an MCP gateway.\n", + "- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Deploy an MCP Server with standard input/output stream as a scalable HTTP service managed by Ray Serve.\n", + "- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Run multiple MCP servers using a shared deployment.\n", + "- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Guide to building and customizing a Docker image for a standalone MCP server.\n", + "\n", + "\n", + "## Prerequisites\n", + "\n", + "- Ray Serve, which is included in the base Docker image\n", + "- Podman, to deploy MCP tools with existing Docker images for notebooks 3 through 5 \n", + "- A Brave API key set in your environment (`BRAVE_API_KEY`)\n", + "- an MCP Python library\n", + "\n", + "### Setting the API key\n", + "\n", + "Before running notebooks 3 and 4, you must set your Brave API key:\n", + "```bash\n", + "export BRAVE_API_KEY=your-api-key\n", + "```\n", + "\n", + "## Development\n", + "\n", + "You can run this example on your own Ray cluster or on [Anyscale workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—like working on a laptop. Workspaces come with:\n", + "- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the tools you're familiar with combined with the power of Anyscale's compute.\n", + "- **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster.\n", + "\n", + "```bash\n", + "pip install -q \"ray[serve]\" \"fastapi\" \"httpx\" \"uvicorn\" \"aiohttp\" \"tqdm\"\n", + "```\n", + "\n", + "* **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience.\n", + "\n", + " * Under the hood, a cluster spins up and is efficiently managed by Anyscale.\n", + "* **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience.\n", + "\n", + "Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/).\n", + "\n", + "**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`Dockerfiles`](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/) provided and provision the appropriate resources..\n", + "\n", + "## Production\n", + "\n", + "Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability.\n", + "\n", + "## No infrastructure headaches\n", + "\n", + "Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard).\n", + "If you're running on a Kubernetes cloud (EKS, GKE, etc.), you can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/).\n", + "\n", + "```{toctree}\n", + ":hidden:\n", + "\n", + "01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb\n", + "02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb\n", + "03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb\n", + "04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb\n", + "05 (Optional) Build_docker_image_for_mcp_server.ipynb\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "6e8c980f", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.md b/doc/source/ray-overview/examples/mcp-ray-serve/README.md new file mode 100644 index 000000000000..a5c2fe606e98 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.md @@ -0,0 +1,68 @@ +# Deploying Custom Model Control Planes (MCP) with Ray Serve + +
    +  +  +
    + +This tutorial demonstrates how to build and deploy **custom Model Control Plane (MCP)** servers using Ray Serve in both **HTTP streaming** and **stdio** modes. MCP enables scalable, dynamic, and multi-tenant model serving by decoupling model routing from application logic. + +- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploy a single MCP server in **HTTP streaming mode**, using Ray Serve and FastAPI. +- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Route traffic to existing Ray Serve applications through an MCP gateway. +- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Deploy an MCP Server with standard input/output stream as a scalable HTTP service managed by Ray Serve. +- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Run multiple MCP servers using a shared service. +- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Guide to building and customizing a Docker image for a standalone MCP server. + + +## Prerequisites + +- Ray [Serve], already included in the base Docker image +- Podman (notebooks 3-5 - to deploy MCP tools with existing docker images) +- A Brave API key set in your environment (`BRAVE_API_KEY`) +- MCP Python library + +### Setting the API key + +Before running notebook 3 and 4, you must set your Brave API key: +```bash +export BRAVE_API_KEY=your-api-key +``` + +## Development + +The application is developed on [Anyscale Workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—just like working on a laptop. Workspaces come with: +- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the same tools you love but with the power of Anyscale's compute. +- **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster. + +```bash +pip install -q "ray[serve]" "fastapi" "httpx" "uvicorn" "aiohttp" "tqdm" +``` + +* **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience. + + * Under the hood, a cluster spins up and is efficiently managed by Anyscale. +* **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience. + +Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/). + +**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`Dockerfiles`](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/) provided and provision the appropriate resources.. + +## Production + +Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability. + +## No infrastructure headaches + +Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard). +Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). + +```{toctree} +:hidden: + +01 Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb +02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb +03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb +04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb +05 (Optional) Build_docker_image_for_mcp_server.ipynb +``` + diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/brave_mcp_ray_serve.py b/doc/source/ray-overview/examples/mcp-ray-serve/brave_mcp_ray_serve.py new file mode 100644 index 000000000000..3d8993f57a0c --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/brave_mcp_ray_serve.py @@ -0,0 +1,125 @@ +import os +import asyncio +import logging +from contextlib import AsyncExitStack +from typing import Any, Dict, List + +from fastapi import FastAPI, Request, HTTPException +from ray import serve + +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +app = FastAPI() +logger = logging.getLogger("MCPDeployment") + + +@serve.deployment(num_replicas=3, ray_actor_options={"num_cpus": 0.5}) +@serve.ingress(app) +class BraveSearchDeployment: + """MCP deployment that exposes every tool provided by its server. + + * **GET /tools** - list tools (name, description, and input schema) + * **POST /call** - invoke a tool + + ```json + { + "tool_name": "", // optional - defaults to brave_web_search + "tool_args": { ... } // **required** - arguments for the tool + } + ``` + """ + + DEFAULT_TOOL = "brave_web_search" + + def __init__(self) -> None: + self._init_task = asyncio.create_task(self._initialize()) + + # ------------------------------------------------------------------ # + # 1. Start podman + MCP session + # ------------------------------------------------------------------ # + async def _initialize(self) -> None: + params = StdioServerParameters( + command="podman", + args=[ + "run", + "-i", + "--rm", + "-e", + f"BRAVE_API_KEY={os.environ['BRAVE_API_KEY']}", + "docker.io/mcp/brave-search", + ], + env=os.environ.copy(), + ) + + self._exit_stack = AsyncExitStack() + + stdin, stdout = await self._exit_stack.enter_async_context(stdio_client(params)) + + self.session: ClientSession = await self._exit_stack.enter_async_context( + ClientSession(stdin, stdout) + ) + await self.session.initialize() + + logger.info("BraveSearchDeployment replica ready.") + + async def _ensure_ready(self) -> None: + """Block until _initialize finishes (and surface its errors).""" + await self._init_task + + # ------------------------------------------------------------------ # + # 2. Internal helper: list tools + # ------------------------------------------------------------------ # + async def _list_tools(self) -> List[Dict[str, Any]]: + await self._ensure_ready() + resp = await self.session.list_tools() + return [ + { + "name": tool.name, + "description": tool.description, + "input_schema": tool.inputSchema, + } + for tool in resp.tools + ] + + # ------------------------------------------------------------------ # + # 3. HTTP endpoints + # ------------------------------------------------------------------ # + @app.get("/tools") + async def tools(self): + """Return all tools exposed by the backing MCP server.""" + return {"tools": await self._list_tools()} + + @app.post("/call") + async def call_tool(self, request: Request): + """Generic endpoint to invoke any tool exposed by the server.""" + body = await request.json() + + tool_name: str = body.get("tool_name", self.DEFAULT_TOOL) + tool_args: Dict[str, Any] | None = body.get("tool_args") + + if tool_args is None: + raise HTTPException(400, "must include 'tool_args'") + + await self._ensure_ready() + + try: + result = await self.session.call_tool(tool_name, tool_args) + return {"result": result} + except Exception as exc: + logger.exception("MCP tool call failed") + raise HTTPException(500, "Tool execution error") from exc + + # ------------------------------------------------------------------ # + # 4. Tidy shutdown + # ------------------------------------------------------------------ # + async def __del__(self): + if hasattr(self, "_exit_stack"): + await self._exit_stack.aclose() + + +# Entry-point object for `serve run …` +brave_search_tool = BraveSearchDeployment.bind() + +## Run in terminal. +# serve run brave_mcp_ray_serve:brave_search_tool diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/Dockerfile b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/Dockerfile new file mode 100644 index 000000000000..8e71f7f9b141 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/Dockerfile @@ -0,0 +1,26 @@ +# Use Python 3.10 base image +FROM python:3.10-slim + +# Install system dependencies +RUN apt-get update && \ + apt-get install -y curl ca-certificates && \ + rm -rf /var/lib/apt/lists/* + +# Install the 'uv' CLI +RUN curl -LsSf https://astral.sh/uv/install.sh | sh + +# Make sure 'uv' is on PATH +ENV PATH="/root/.local/bin:${PATH}" + +# Set working directory +WORKDIR /app + +# Copy and install only requirements first (caching) +COPY requirements.txt . +RUN uv pip install --system -r requirements.txt + +# Now copy everything from the current directory into /app +COPY . . + +# Run the server +CMD ["uv", "run", "weather.py"] diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/podman_commands.txt b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/podman_commands.txt new file mode 100644 index 000000000000..e4e0300e1e1f --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/podman_commands.txt @@ -0,0 +1,10 @@ +podman build \ + --events-backend=file \ + -t anyscale/weather-mcp:latest . + + +podman \ + --events-backend=file \ + push anyscale/weather-mcp:latest + + diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/requirements.txt b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/requirements.txt new file mode 100644 index 000000000000..e0d319221c8d --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/requirements.txt @@ -0,0 +1,3 @@ +mcp[cli]>=1.2.0 +httpx>=0.24.0 +pydantic==2.9.2 \ No newline at end of file diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/weather.py b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/weather.py new file mode 100644 index 000000000000..37e2cec080af --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/weather.py @@ -0,0 +1,102 @@ +from typing import Any +import httpx +from mcp.server.fastmcp import FastMCP + +# Initialize FastMCP server +mcp = FastMCP("weather") + +# Constants +NWS_API_BASE = "https://api.weather.gov" +USER_AGENT = "weather-app/1.0" + + +async def make_nws_request(url: str) -> dict[str, Any] | None: + """Make a request to the NWS API with proper error handling.""" + headers = {"User-Agent": USER_AGENT, "Accept": "application/geo+json"} + async with httpx.AsyncClient() as client: + try: + response = await client.get(url, headers=headers, timeout=30.0) + response.raise_for_status() + return response.json() + except Exception: + return None + + +def format_alert(feature: dict) -> str: + """Format an alert feature into a readable string.""" + props = feature.get("properties", {}) + return f""" +Event: {props.get('event', 'Unknown')} +Area: {props.get('areaDesc', 'Unknown')} +Severity: {props.get('severity', 'Unknown')} +Description: {props.get('description', 'No description available')} +Instructions: {props.get('instruction', 'No specific instructions provided')} +""" + + +@mcp.tool() +async def get_alerts(state: str) -> str: + """Get weather alerts for a US state. + + Args: + state: Two-letter US state code (e.g., CA, NY) + """ + url = f"{NWS_API_BASE}/alerts/active/area/{state}" + data = await make_nws_request(url) + + if not data or "features" not in data: + return "Unable to fetch alerts or no alerts found." + + features = data.get("features", []) + if not features: + return "No active alerts for this state." + + alerts = [format_alert(feature) for feature in features] + return "\n---\n".join(alerts) + + +@mcp.tool() +async def get_forecast(latitude: float, longitude: float) -> str: + """Get weather forecast for a location. + + Args: + latitude: Latitude of the location + longitude: Longitude of the location + """ + # First get the forecast grid endpoint + points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}" + points_data = await make_nws_request(points_url) + + if not points_data: + return "Unable to fetch forecast data for this location." + + # Get the forecast URL from the points response + forecast_url = points_data.get("properties", {}).get("forecast") + if not forecast_url: + return "Forecast URL not found in points response." + + forecast_data = await make_nws_request(forecast_url) + if not forecast_data: + return "Unable to fetch detailed forecast." + + # Format the periods into a readable forecast + periods = forecast_data.get("properties", {}).get("periods", []) + if not periods: + return "No forecast periods available." + + forecasts = [] + for period in periods[:5]: # Only show next 5 periods + forecasts.append( + f""" +{period.get('name', 'Unknown')}: +Temperature: {period.get('temperature')}°{period.get('temperatureUnit')} +Wind: {period.get('windSpeed')} {period.get('windDirection')} +Forecast: {period.get('detailedForecast')} +""" + ) + return "\n---\n".join(forecasts) + + +if __name__ == "__main__": + # Initialize and run the server + mcp.run(transport="stdio") diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/aws.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/ci/aws.yaml new file mode 100644 index 000000000000..beb4314156b7 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/aws.yaml @@ -0,0 +1,14 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +# Head node +head_node_type: + name: head + instance_type: m5.2xlarge + resources: + cpu: 8 + +# Worker nodes +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh b/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh new file mode 100755 index 000000000000..8099cebc7851 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +set -exo pipefail + +# Python dependencies +pip3 install --no-cache-dir \ + "mcp==1.11.0" \ + "asyncio==3.4.3" \ + "pydantic==2.9.2" + +# Podman (used in stdio examples) +sudo apt-get update && sudo apt-get install -y podman diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/gce.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/ci/gce.yaml new file mode 100644 index 000000000000..9c3790622d03 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/gce.yaml @@ -0,0 +1,14 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-central1 + +# Head node +head_node_type: + name: head + instance_type: n2-standard-8 + resources: + cpu: 8 + +# Worker nodes +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/nb2py.py b/doc/source/ray-overview/examples/mcp-ray-serve/ci/nb2py.py new file mode 100644 index 000000000000..331c6de9a33f --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/nb2py.py @@ -0,0 +1,91 @@ +#!/usr/bin/env python3 +import argparse +import nbformat + + +def convert_notebook( + input_path: str, output_path: str, ignore_cmds: bool = False +) -> None: + """ + Read a Jupyter notebook and write a Python script, converting all %%bash + cells and IPython "!" commands into subprocess.run calls that raise on error. + Cells that load or autoreload extensions are ignored. + """ + nb = nbformat.read(input_path, as_version=4) + with open(output_path, "w") as out: + for cell in nb.cells: + # Only process code cells + if cell.cell_type != "code": + continue + + lines = cell.source.splitlines() + # Skip cells that load or autoreload extensions + if any( + l.strip().startswith("%load_ext autoreload") + or l.strip().startswith("%autoreload all") + for l in lines + ): + continue + + # Detect a %%bash cell + if lines and lines[0].strip().startswith("%%bash"): + if ignore_cmds: + continue + bash_script = "\n".join(lines[1:]).rstrip() + out.write("import subprocess\n") + out.write( + f"subprocess.run(r'''{bash_script}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n\n" + ) + else: + # Detect any IPython '!' shell commands in code lines + has_bang = any(line.lstrip().startswith("!") for line in lines) + if has_bang: + if ignore_cmds: + continue + out.write("import subprocess\n") + for line in lines: + stripped = line.lstrip() + if stripped.startswith("!"): + cmd = stripped[1:].lstrip() + out.write( + f"subprocess.run(r'''{cmd}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n" + ) + else: + out.write(line.rstrip() + "\n") + out.write("\n") + else: + # Regular Python cell: + code = cell.source.rstrip() + if code == "serve.run(app)": + continue # Skip the serve.run(app) line + if "=== Brave Search: Available Tools ===" in code: + continue # Skip this cell for now + if "# Invoke the brave_web_search tool" in code: + continue # Skip this cell for now + if "response = requests.get(" in code: + continue # Skip this cell for now + # else, dump as-is + out.write(cell.source.rstrip() + "\n\n") + + +def main() -> None: + parser = argparse.ArgumentParser( + description="Convert a Jupyter notebook to a Python script, preserving bash cells and '!' commands as subprocess calls unless ignored with --ignore-cmds." + ) + parser.add_argument("input_nb", help="Path to the input .ipynb file") + parser.add_argument("output_py", help="Path for the output .py script") + parser.add_argument( + "--ignore-cmds", action="store_true", help="Ignore bash cells and '!' commands" + ) + args = parser.parse_args() + convert_notebook(args.input_nb, args.output_py, ignore_cmds=args.ignore_cmds) + + +if __name__ == "__main__": + main() diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh b/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh new file mode 100755 index 000000000000..aecfb298de2e --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh @@ -0,0 +1,28 @@ +#!/bin/bash + +# Don't use nbconvert or jupytext unless you're willing +# to check each subprocess unit and validate that errors +# aren't being consumed/hidden. + +set -exo pipefail + +# Use the AWS CLI to fetch BRAVE_API_KEY from Secrets Manager. +# Replace 'my-brave-api-key-secret' with the actual secret name. +BRAVE_API_KEY=$(aws secretsmanager get-secret-value \ + --secret-id brave-search-api-key \ + --query SecretString \ + --output text) + +export BRAVE_API_KEY + +for nb in \ + "01 Deploy_custom_mcp_in_streamable_http_with_ray_serve" \ + "02 Build_mcp_gateway_with_existing_ray_serve_apps" \ + "03 Deploy_single_mcp_stdio_docker_image_with_ray_serve" \ + "04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve" \ + "05 (Optional) Build_docker_image_for_mcp_server" +do + python ci/nb2py.py "${nb}.ipynb" "${nb}.py" --ignore-cmds + python "${nb}.py" + rm "${nb}.py" +done diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/configs/aws.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/configs/aws.yaml new file mode 100644 index 000000000000..823b7cf2d786 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/configs/aws.yaml @@ -0,0 +1,7 @@ +head_node_type: + name: head + instance_type: m5.2xlarge +worker_node_types: [] +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/configs/gce.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/configs/gce.yaml new file mode 100644 index 000000000000..455977d495e0 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/configs/gce.yaml @@ -0,0 +1,7 @@ +head_node_type: + name: head + instance_type: n1-standard-8 +worker_node_types: [] +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_anyscale.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_anyscale.yaml new file mode 100644 index 000000000000..d75533b2a93c --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_anyscale.yaml @@ -0,0 +1,81 @@ + +name: mcp-gateway-app-service +applications: + +- name: image_classifier_app + + route_prefix: /app1 + + import_path: image_classifier:app + + runtime_env: {} + + deployments: + + - name: image_downloader + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - pillow + num_cpus: 0.3 + + - name: image_classifier + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - transformers + - torch + - pillow + - hf_xet + num_cpus: 1.0 + num_gpus: 0.25 + +- name: text_translator_app + + route_prefix: /app2 + + import_path: text_translator:app + + runtime_env: {} + + deployments: + + - name: text_translator + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - transformers + - torch + num_cpus: 1.0 + num_gpus: 0.25 + +- name: mcp_gateway_app + + route_prefix: /mcp_gateway + + import_path: mcp_gateway:app + + runtime_env: {} + + deployments: + + - name: MCPGateway + autoscaling_config: + min_replicas: 2 + initial_replicas: null + max_replicas: 10 + target_ongoing_requests: 50.0 + metrics_interval_s: 10.0 + look_back_period_s: 30.0 + smoothing_factor: 1.0 + upscale_smoothing_factor: null + downscale_smoothing_factor: null + upscaling_factor: null + downscaling_factor: null + downscale_delay_s: 600.0 + upscale_delay_s: 30.0 + ray_actor_options: + num_cpus: 0.5 diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_serve.yaml b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_serve.yaml new file mode 100644 index 000000000000..8d86e3014c63 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/config_serve.yaml @@ -0,0 +1,107 @@ +# This file was generated using the `serve build` command on Ray v2.46.0. + +proxy_location: EveryNode + +http_options: + + host: 0.0.0.0 + + port: 8000 + +grpc_options: + + port: 9000 + + grpc_servicer_functions: [] + +logging_config: + + encoding: JSON + + log_level: INFO + + logs_dir: null + + enable_access_log: true + + additional_log_standard_attrs: [] + +applications: + +- name: image_classifier_app + + route_prefix: /classify + + import_path: image_classifier:app + + runtime_env: {} + + deployments: + + - name: image_downloader + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - pillow + num_cpus: 0.3 + + - name: image_classifier + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - transformers + - torch + - pillow + - hf_xet + num_cpus: 1.0 + num_gpus: 0.25 + +- name: text_translator_app + + route_prefix: /translate + + import_path: text_translator:app + + runtime_env: {} + + deployments: + + - name: text_translator + num_replicas: 2 + ray_actor_options: + runtime_env: + pip: + - transformers + - torch + num_cpus: 1.0 + num_gpus: 0.25 + +- name: mcp_gateway_app + + route_prefix: /mcp_gateway + + import_path: mcp_gateway:app + + runtime_env: {} + + deployments: + + - name: MCPGateway + autoscaling_config: + min_replicas: 2 + initial_replicas: null + max_replicas: 10 + target_ongoing_requests: 50.0 + metrics_interval_s: 10.0 + look_back_period_s: 30.0 + smoothing_factor: 1.0 + upscale_smoothing_factor: null + downscale_smoothing_factor: null + upscaling_factor: null + downscaling_factor: null + downscale_delay_s: 600.0 + upscale_delay_s: 30.0 + ray_actor_options: + num_cpus: 0.5 diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/image_classifier.py b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/image_classifier.py new file mode 100644 index 000000000000..76d78ce1c785 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/image_classifier.py @@ -0,0 +1,48 @@ +import requests +import starlette +from ray import serve +from ray.serve.handle import DeploymentHandle + + +@serve.deployment( + name="image_downloader", + num_replicas=2, + ray_actor_options={"num_cpus": 0.3, "runtime_env": {"pip": ["pillow"]}}, +) +def downloader(image_url: str): + from io import BytesIO + from PIL import Image + + image_bytes = requests.get(image_url).content + image = Image.open(BytesIO(image_bytes)).convert("RGB") + return image + + +@serve.deployment( + name="image_classifier", + num_replicas=2, + ray_actor_options={ + "num_gpus": 0.25, + "runtime_env": {"pip": ["transformers", "torch", "pillow", "hf_xet"]}, + }, +) +class ImageClassifier: + def __init__(self, downloader: DeploymentHandle): + from transformers import pipeline + + self.downloader = downloader + self.model = pipeline( + "image-classification", model="google/vit-base-patch16-224" + ) + + async def classify(self, image_url: str) -> str: + image = await self.downloader.remote(image_url) + results = self.model(image) + return results[0]["label"] + + async def __call__(self, req: starlette.requests.Request): + req = await req.json() + return await self.classify(req["image_url"]) + + +app = ImageClassifier.bind(downloader.bind()) diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/mcp_gateway.py b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/mcp_gateway.py new file mode 100644 index 000000000000..f6d68feab57c --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/mcp_gateway.py @@ -0,0 +1,69 @@ +from contextlib import asynccontextmanager +import fastapi +from ray import serve +from mcp.server.fastmcp import FastMCP + +# -------------------------------------------------------------------------- +# 1. Create FastMCP in stateless http (streamable) mode +# -------------------------------------------------------------------------- +mcp = FastMCP("Image-N-Translate", stateless_http=True) + +# -------------------------------------------------------------------------- +# 2. Register your tools BEFORE mounting the app +# -------------------------------------------------------------------------- + + +@mcp.tool() +async def classify(image_url: str) -> str: + """Return the top-1 label for an image URL.""" + # These remote calls are already async, so no extra thread executor needed. + clf = serve.get_deployment_handle( + "image_classifier", app_name="image_classifier_app" + ) + return await clf.classify.remote(image_url) + + +@mcp.tool() +async def translate(text: str) -> str: + """Translate English → German.""" + + tr = serve.get_deployment_handle("text_translator", app_name="text_translator_app") + return await tr.translate.remote(text) + + +# -------------------------------------------------------------------------- +# 3. Build FastAPI app with lifespan to mount the FastMCP streamable HTTP app +# -------------------------------------------------------------------------- +@asynccontextmanager +async def lifespan(app: fastapi.FastAPI): + # after startup, mount the streamable-http MCP app + app.mount("/", mcp.streamable_http_app()) + + # keep MCP’s session manager running for the lifetime of this process + async with mcp.session_manager.run(): + yield + + +api = fastapi.FastAPI(lifespan=lifespan) + +# -------------------------------------------------------------------------- +# 4. Wrap in a Ray Serve deployment +# -------------------------------------------------------------------------- +@serve.deployment( + autoscaling_config={ + "min_replicas": 2, + "max_replicas": 10, + "target_ongoing_requests": 50, + }, + ray_actor_options={"num_cpus": 0.5}, +) +@serve.ingress(api) +class MCPGateway: + def __init__(self): + pass + + +# -------------------------------------------------------------------------- +# 5. Expose the Serve application graph +# -------------------------------------------------------------------------- +app = MCPGateway.bind() diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/text_translator.py b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/text_translator.py new file mode 100644 index 000000000000..9ff2ec372310 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/mcp-gateway-with-existing-ray-apps/text_translator.py @@ -0,0 +1,29 @@ +from ray import serve +from starlette.requests import Request + + +@serve.deployment( + name="text_translator", + num_replicas=2, + ray_actor_options={ + "num_gpus": 0.25, + "runtime_env": {"pip": ["transformers", "torch"]}, + }, +) +class Translator: + def __init__(self): + from transformers import pipeline + + self.model = pipeline("translation_en_to_fr", model="t5-small") + + def translate(self, text: str) -> str: + out = self.model(text) + return out[0]["translation_text"] + + async def __call__(self, request: Request) -> str: + english: str = await request.json() + return self.translate(english) + + +# 3) Bind the deployment into an application for config-generation +app = Translator.bind() diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py b/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py new file mode 100644 index 000000000000..89bc5f4b7901 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py @@ -0,0 +1,197 @@ +import asyncio +import logging +import os +from contextlib import AsyncExitStack +from typing import Any, Dict, List, Optional + +from fastapi import FastAPI, HTTPException, Request +from ray import serve +from ray.serve.handle import DeploymentHandle + +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +logger = logging.getLogger("multi_mcp_serve") + + +def _podman_args( + image: str, + *, + extra_args: Optional[List[str]] = None, + env: Optional[Dict[str, str]] = None, +) -> List[str]: + args = ["run", "-i", "--rm"] + for key, value in (env or {}).items(): + if key.upper() == "PATH": + continue + args += ["-e", f"{key}={value}"] + if extra_args: + args += extra_args + args.append(image) + return args + + +class _BaseMCP: + _PODMAN_ARGS: List[str] = [] + _ENV: Dict[str, str] = {} + + def __init__(self): + self._ready = asyncio.create_task(self._startup()) + + async def _startup(self): + params = StdioServerParameters( + command="podman", + args=self._PODMAN_ARGS, + env=self._ENV, + ) + self._stack = AsyncExitStack() + stdin, stdout = await self._stack.enter_async_context(stdio_client(params)) + self.session = await self._stack.enter_async_context( + ClientSession(stdin, stdout) + ) + await self.session.initialize() + logger.info("%s replica ready", type(self).__name__) + + async def _ensure_ready(self): + await self._ready + + async def list_tools(self) -> List[Dict[str, Any]]: + await self._ensure_ready() + resp = await self.session.list_tools() + return [ + { + "name": t.name, + "description": t.description, + "input_schema": t.inputSchema, + } + for t in resp.tools + ] + + async def call_tool(self, tool_name: str, tool_args: Dict[str, Any]) -> Any: + await self._ensure_ready() + return await self.session.call_tool(tool_name, tool_args) + + async def __del__(self): + if hasattr(self, "_stack"): + await self._stack.aclose() + + +def build_mcp_deployment( + *, + name: str, + docker_image: str, + num_replicas: int = 3, + num_cpus: float = 0.5, + autoscaling_config: Optional[Dict[str, Any]] = None, + server_command: Optional[str] = None, + extra_podman_args: Optional[List[str]] = None, + env: Optional[Dict[str, str]] = None, +) -> serve.Deployment: + """ + - If autoscaling_config is provided, Ray Serve autoscales between + autoscaling_config['min_replicas'] and ['max_replicas']. + - Otherwise it launches `num_replicas` fixed replicas. + """ + deployment_env = env or {} + podman_args = _podman_args( + docker_image, extra_args=extra_podman_args, env=deployment_env + ) + if server_command: + podman_args.append(server_command) + + # Build kwargs for the decorator: + deploy_kwargs: Dict[str, Any] = { + "name": name, + "ray_actor_options": {"num_cpus": num_cpus}, + } + if autoscaling_config: + deploy_kwargs["autoscaling_config"] = autoscaling_config + else: + deploy_kwargs["num_replicas"] = num_replicas + + @serve.deployment(**deploy_kwargs) + class MCP(_BaseMCP): + _PODMAN_ARGS = podman_args + _ENV = deployment_env + + return MCP + + +# ------------------------- +# HTTP router code +# ------------------------- + +api = FastAPI() + + +@serve.deployment +@serve.ingress(api) +class Router: + def __init__(self, brave_search: DeploymentHandle, fetch: DeploymentHandle) -> None: + self._mcps = {"brave_search": brave_search, "fetch": fetch} + + @api.get("/{mcp_name}/tools") + async def list_tools_http(self, mcp_name: str): + handle = self._mcps.get(mcp_name) + if not handle: + raise HTTPException(404, f"MCP {mcp_name} not found") + try: + return {"tools": await handle.list_tools.remote()} + except Exception as exc: + logger.exception("Listing tools failed") + raise HTTPException(500, str(exc)) + + @api.post("/{mcp_name}/call") + async def call_tool_http(self, mcp_name: str, request: Request): + handle = self._mcps.get(mcp_name) + if not handle: + raise HTTPException(404, f"MCP {mcp_name} not found") + body = await request.json() + tool_name = body.get("tool_name") + tool_args = body.get("tool_args") + if tool_name is None or tool_args is None: + raise HTTPException(400, "Missing 'tool_name' or 'tool_args'") + try: + result = await handle.call_tool.remote(tool_name, tool_args) + return {"result": result} + except Exception as exc: + logger.exception("Tool call failed") + raise HTTPException(500, str(exc)) + + +# ------------------------- +# Binding deployments +# ------------------------- + +if "BRAVE_API_KEY" not in os.environ: + raise RuntimeError("BRAVE_API_KEY must be set before `serve run`.") + +# Example: autoscaling BraveSearch between 1 and 5 replicas, +# targeting ~10 concurrent requests per replica. +BraveSearch = build_mcp_deployment( + name="brave_search", + docker_image="docker.io/mcp/brave-search", + env={"BRAVE_API_KEY": os.environ["BRAVE_API_KEY"]}, + num_cpus=0.2, + autoscaling_config={ + "min_replicas": 1, + "max_replicas": 5, + "target_num_ongoing_requests_per_replica": 10, + }, +) + +# Example: keep Fetch at a fixed 2 replicas. +Fetch = build_mcp_deployment( + name="fetch", + docker_image="docker.io/mcp/fetch", + num_replicas=2, + num_cpus=0.2, +) + +# entry-point object for `serve run …` +brave_search_handle = BraveSearch.bind() +fetch_handle = Fetch.bind() +app = Router.bind(brave_search_handle, fetch_handle) + +## Run in terminal. +# serve run multi_mcp_ray_serve:app diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/translator_mcp_ray.py b/doc/source/ray-overview/examples/mcp-ray-serve/translator_mcp_ray.py new file mode 100644 index 000000000000..4bfba513f488 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/translator_mcp_ray.py @@ -0,0 +1,62 @@ +import asyncio +from fastapi import FastAPI +from mcp.server.fastmcp import FastMCP +from contextlib import asynccontextmanager +from ray import serve +from transformers import pipeline + +# --------------------------------------------------------------------- +# 1. FastMCP business logic for translation +# --------------------------------------------------------------------- +mcp = FastMCP("translator", stateless_http=True) + +# Pre-load the translation model (English → French). +translator_pipeline = pipeline("translation_en_to_fr", model="t5-small") + + +@mcp.tool() +async def translate(text: str) -> str: + """Translate English text to French.""" + loop = asyncio.get_event_loop() + # Offload the sync pipeline call to a thread to avoid blocking the event loop. + result = await loop.run_in_executor(None, translator_pipeline, text) + return result[0]["translation_text"] + + +## FastAPI app and Ray Serve setup. +@asynccontextmanager +async def lifespan(app: FastAPI): + # 1) Mount the MCP app. + app.mount("/", mcp.streamable_http_app()) + + # 2) Enter the session_manager's context. + async with mcp.session_manager.run(): + yield + + +fastapi_app = FastAPI(lifespan=lifespan) + + +@serve.deployment( + autoscaling_config={ + "min_replicas": 2, + "max_replicas": 20, + "target_ongoing_requests": 10, + }, + ray_actor_options={ + "num_gpus": 0.5, + "runtime_env": {"pip": ["transformers", "torch"]}, + }, +) +@serve.ingress(fastapi_app) +class TranslatorMCP: + def __init__(self): + pass + + +# Ray Serve entry point. +app = TranslatorMCP.bind() + + +## Run in terminal. +# serve run translator_mcp_ray:app diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/weather_mcp_ray.py b/doc/source/ray-overview/examples/mcp-ray-serve/weather_mcp_ray.py new file mode 100644 index 000000000000..79410e420d31 --- /dev/null +++ b/doc/source/ray-overview/examples/mcp-ray-serve/weather_mcp_ray.py @@ -0,0 +1,114 @@ +from typing import Any +import httpx +from fastapi import FastAPI +from mcp.server.fastmcp import FastMCP +from ray import serve +from contextlib import asynccontextmanager + +# Constants. +NWS_API_BASE = "https://api.weather.gov" +USER_AGENT = "weather-app/1.0" + +# Helper Functions. +async def make_nws_request(url: str) -> dict[str, Any] | None: + headers = {"User-Agent": USER_AGENT, "Accept": "application/geo+json"} + async with httpx.AsyncClient(timeout=30.0) as client: + try: + resp = await client.get(url, headers=headers) + resp.raise_for_status() + return resp.json() + except Exception: + return None + + +def format_alert(feature: dict) -> str: + props = feature["properties"] + return ( + f"Event: {props.get('event', 'Unknown')}\n" + f"Area: {props.get('areaDesc', 'Unknown')}\n" + f"Severity: {props.get('severity', 'Unknown')}\n" + f"Description: {props.get('description', 'No description available')}\n" + f"Instructions: {props.get('instruction', 'No specific instructions provided')}" + ) + + +# Instantiate FastMCP and register tools via decorators. +mcp = FastMCP("weather", stateless_http=True) + + +@mcp.tool() +async def get_alerts(state: str) -> str: + """Fetch active alerts for a given state code (e.g., 'CA').""" + url = f"{NWS_API_BASE}/alerts/active/area/{state}" + data = await make_nws_request(url) + if not data or "features" not in data: + return "Unable to fetch alerts or no alerts found." + features = data["features"] + if not features: + return "No active alerts for this state." + return "\n---\n".join(format_alert(f) for f in features) + + +@mcp.tool() +async def get_forecast(latitude: float, longitude: float) -> str: + """Fetch a 5-period weather forecast for given lat/lon.""" + points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}" + points_data = await make_nws_request(points_url) + if not points_data or "properties" not in points_data: + return "Unable to fetch forecast data for this location." + + forecast_url = points_data["properties"].get("forecast") + if not forecast_url: + return "No forecast URL found for this location." + + forecast_data = await make_nws_request(forecast_url) + if not forecast_data or "properties" not in forecast_data: + return "Unable to fetch detailed forecast." + + periods = forecast_data["properties"].get("periods", []) + if not periods: + return "No forecast periods available." + + parts: list[str] = [] + for p in periods[:5]: + parts.append( + f"{p['name']}:\nTemperature: {p['temperature']}°{p['temperatureUnit']}\n" + + f"Wind: {p['windSpeed']} {p['windDirection']}\n" + + f"Forecast: {p['detailedForecast']}" + ) + return "\n---\n".join(parts) + + +## FastAPI app and Ray Serve setup. +@asynccontextmanager +async def lifespan(app: FastAPI): + # 1) Mount the MCP app. + app.mount("/", mcp.streamable_http_app()) + + # 2) Enter the session_manager's context. + async with mcp.session_manager.run(): + yield + + +fastapi_app = FastAPI(lifespan=lifespan) + + +@serve.deployment( + autoscaling_config={ + "min_replicas": 2, + "max_replicas": 20, + "target_ongoing_requests": 5, + }, + ray_actor_options={"num_cpus": 0.2}, +) +@serve.ingress(fastapi_app) +class WeatherMCP: + def __init__(self): + pass + + +# Ray Serve entry point. +app = WeatherMCP.bind() + +## Run in terminal. +# serve run weather_mcp_ray:app diff --git a/release/ray_release/byod/byod_mcp-ray-serve.sh b/release/ray_release/byod/byod_mcp-ray-serve.sh new file mode 100755 index 000000000000..8099cebc7851 --- /dev/null +++ b/release/ray_release/byod/byod_mcp-ray-serve.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +set -exo pipefail + +# Python dependencies +pip3 install --no-cache-dir \ + "mcp==1.11.0" \ + "asyncio==3.4.3" \ + "pydantic==2.9.2" + +# Podman (used in stdio examples) +sudo apt-get update && sudo apt-get install -y podman diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 00f9f77bfa89..61ae867b06a0 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4445,6 +4445,31 @@ cluster: cluster_compute: ci/gce.yaml # relative to working_dir +- name: mcp_ray_serve # do not use dashes (regex sensitive) + frequency: weekly + python: "3.11" + group: ray-examples + team: ml + working_dir: //doc/source/ray-overview/examples/mcp-ray-serve # use // to access from repo's root + + cluster: + byod: + type: llm-cu128 # anyscale/ray-llm:-py311-cu128 + post_build_script: byod_mcp-ray-serve.sh # release/ray_release/byod/ + cluster_compute: ci/aws.yaml # relative to working_dir + + run: + timeout: 3600 + script: bash ci/tests.sh # relative to working_dir + + variations: + - __suffix__: aws # uses default specs above + - __suffix__: gce + env: gce + frequency: manual + cluster: + cluster_compute: ci/gce.yaml # relative to working_dir + - name: distributing_pytorch # do not use dashes (regex sensitive) frequency: weekly group: ray-examples From a8c20704f6ecf533487fc0a048b0b311f30d050d Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 15 Jul 2025 12:02:24 -0700 Subject: [PATCH 0212/1566] [Data] Add streaming executor duration to dashboard (#54614) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 14 +++++++++++ .../_internal/execution/streaming_executor.py | 24 ++++++++++++++++--- 2 files changed, 35 insertions(+), 3 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 228ec2d9775f..73d3d318aa0c 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -659,6 +659,20 @@ stack=False, ), # Ray Data Metrics (Miscellaneous) + Panel( + id=47, + title="Scheduling Loop Duration", + description=("Duration of the scheduling loop in seconds."), + unit="seconds", + targets=[ + Target( + expr="sum(ray_data_sched_loop_duration_s{{{global_filters}}}) by (dataset)", + legend="Scheduling Loop Duration: {{dataset}}", + ) + ], + fill=0, + stack=False, + ), ] ids = [] diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index b686c5f1b5fd..e594d4a96351 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -35,6 +35,7 @@ from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.stats import DatasetState, DatasetStats, StatsManager, Timer from ray.data.context import OK_PREFIX, WARN_PREFIX, DataContext +from ray.util.metrics import Gauge logger = logging.getLogger(__name__) @@ -92,6 +93,13 @@ def __init__( self._data_context.set_dataset_logger_id( register_dataset_logger(self._dataset_id) ) + + self._sched_loop_duration_s = Gauge( + "data_sched_loop_duration_s", + description="Duration of the scheduling loop in seconds", + tag_keys=("dataset",), + ) + Executor.__init__(self, self._data_context.execution_options) thread_name = f"StreamingExecutor-{self._dataset_id}" threading.Thread.__init__(self, daemon=True, name=thread_name) @@ -212,6 +220,8 @@ def shutdown(self, force: bool, exception: Optional[Exception] = None): stats_summary_string = self._final_stats.to_summary().to_string( include_parent=False ) + # Reset the scheduling loop duration gauge. + self._sched_loop_duration_s.set(0, tags={"dataset": self._dataset_id}) if self._data_context.enable_auto_log_stats: logger.info(stats_summary_string) # Close the progress bars from top to bottom to avoid them jumping @@ -277,13 +287,21 @@ def run(self): try: # Run scheduling loop until complete. while True: - t_start = time.process_time() - # use process_time to avoid timing ray.wait in _scheduling_loop_step + # Use `perf_counter` rather than `process_time` to ensure we include + # time spent on IO, like RPCs to Ray Core. + t_start = time.perf_counter() continue_sched = self._scheduling_loop_step(self._topology) + + sched_loop_duration = time.perf_counter() - t_start + + self._sched_loop_duration_s.set( + sched_loop_duration, tags={"dataset": self._dataset_id} + ) if self._initial_stats: self._initial_stats.streaming_exec_schedule_s.add( - time.process_time() - t_start + sched_loop_duration ) + for callback in get_execution_callbacks(self._data_context): callback.on_execution_step(self) if not continue_sched or self._shutdown: From 0355e8ebfda077a5aea37e5828b769e4a07ed729 Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Tue, 15 Jul 2025 21:31:12 +0200 Subject: [PATCH 0213/1566] [Air] Add Video FPS Support for `WandbLoggerCallback` (#53638) Resolves #50186 Wandb `Video(..., fps=4)` is currently the hardcoded default. This PR adds a ~~`video_fps=4`~~ `video_kwargs` and `image_kwargs` argument (and attribute) to the `WandbLoggerCallback` to allow more control over the logged objects, for example the video fps during logging. --------- Signed-off-by: Daraan Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- python/ray/air/integrations/wandb.py | 62 ++++++++++++++++++++++++---- 1 file changed, 53 insertions(+), 9 deletions(-) diff --git a/python/ray/air/integrations/wandb.py b/python/ray/air/integrations/wandb.py index c1cf4479cf12..f53d63094d3a 100644 --- a/python/ray/air/integrations/wandb.py +++ b/python/ray/air/integrations/wandb.py @@ -212,26 +212,56 @@ def _is_allowed_type(obj): return isinstance(obj, (Number, WBValue)) -def _clean_log(obj: Any): +def _clean_log( + obj: Any, + *, + video_kwargs: Optional[Dict[str, Any]] = None, + image_kwargs: Optional[Dict[str, Any]] = None, +): # Fixes https://github.com/ray-project/ray/issues/10631 + if video_kwargs is None: + video_kwargs = {} + if image_kwargs is None: + image_kwargs = {} if isinstance(obj, dict): - return {k: _clean_log(v) for k, v in obj.items()} + return { + k: _clean_log(v, video_kwargs=video_kwargs, image_kwargs=image_kwargs) + for k, v in obj.items() + } elif isinstance(obj, (list, set)): - return [_clean_log(v) for v in obj] + return [ + _clean_log(v, video_kwargs=video_kwargs, image_kwargs=image_kwargs) + for v in obj + ] elif isinstance(obj, tuple): - return tuple(_clean_log(v) for v in obj) + return tuple( + _clean_log(v, video_kwargs=video_kwargs, image_kwargs=image_kwargs) + for v in obj + ) elif isinstance(obj, np.ndarray) and obj.ndim == 3: # Must be single image (H, W, C). - return Image(obj) + return Image(obj, **image_kwargs) elif isinstance(obj, np.ndarray) and obj.ndim == 4: # Must be batch of images (N >= 1, H, W, C). return ( - _clean_log([Image(v) for v in obj]) if obj.shape[0] > 1 else Image(obj[0]) + _clean_log( + [Image(v, **image_kwargs) for v in obj], + video_kwargs=video_kwargs, + image_kwargs=image_kwargs, + ) + if obj.shape[0] > 1 + else Image(obj[0], **image_kwargs) ) elif isinstance(obj, np.ndarray) and obj.ndim == 5: # Must be batch of videos (N >= 1, T, C, W, H). return ( - _clean_log([Video(v) for v in obj]) if obj.shape[0] > 1 else Video(obj[0]) + _clean_log( + [Video(v, **video_kwargs) for v in obj], + video_kwargs=video_kwargs, + image_kwargs=image_kwargs, + ) + if obj.shape[0] > 1 + else Video(obj[0], **video_kwargs) ) elif _is_allowed_type(obj): return obj @@ -518,7 +548,15 @@ def train_func(config): PopulationBasedTraining. Defaults to False. upload_checkpoints: If ``True``, model checkpoints will be uploaded to Wandb as artifacts. Defaults to ``False``. - **kwargs: The keyword arguments will be pased to ``wandb.init()``. + video_kwargs: Dictionary of keyword arguments passed to wandb.Video() + when logging videos. Videos have to be logged as 5D numpy arrays + to be affected by this parameter. For valid keyword arguments, see + https://docs.wandb.ai/ref/python/data-types/video/. Defaults to ``None``. + image_kwargs: Dictionary of keyword arguments passed to wandb.Image() + when logging images. Images have to be logged as 3D or 4D numpy arrays + to be affected by this parameter. For valid keyword arguments, see + https://docs.wandb.ai/ref/python/data-types/image/. Defaults to ``None``. + **kwargs: The keyword arguments will be passed to ``wandb.init()``. Wandb's ``group``, ``run_id`` and ``run_name`` are automatically selected by Tune, but can be overwritten by filling out the respective configuration @@ -555,6 +593,8 @@ def __init__( upload_checkpoints: bool = False, save_checkpoints: bool = False, upload_timeout: int = DEFAULT_SYNC_TIMEOUT, + video_kwargs: Optional[dict] = None, + image_kwargs: Optional[dict] = None, **kwargs, ): if not wandb: @@ -577,6 +617,8 @@ def __init__( self.log_config = log_config self.upload_checkpoints = upload_checkpoints self._upload_timeout = upload_timeout + self.video_kwargs = video_kwargs or {} + self.image_kwargs = image_kwargs or {} self.kwargs = kwargs self._remote_logger_class = None @@ -694,7 +736,9 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if trial not in self._trial_logging_actors: self.log_trial_start(trial) - result = _clean_log(result) + result = _clean_log( + result, video_kwargs=self.video_kwargs, image_kwargs=self.image_kwargs + ) self._trial_queues[trial].put((_QueueItem.RESULT, result)) def log_trial_save(self, trial: "Trial"): From 11ce573301ba5cfe5a78f4fe928fda46be632ebb Mon Sep 17 00:00:00 2001 From: Mauricio Villegas <5780272+mauvilsa@users.noreply.github.com> Date: Tue, 15 Jul 2025 21:33:16 +0200 Subject: [PATCH 0214/1566] Fix invalid type for progress_reporter parameter of RunConfig (#48439) Adds a type checking import to fix progress_reporter parameter type in RunConfig. --------- Signed-off-by: Mauricio Villegas <5780272+mauvilsa@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- python/ray/air/config.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/python/ray/air/config.py b/python/ray/air/config.py index 3f7599d54c09..727ceb5c8cfb 100644 --- a/python/ray/air/config.py +++ b/python/ray/air/config.py @@ -25,6 +25,7 @@ from ray.widgets import Template, make_table_html_repr if TYPE_CHECKING: + import ray.tune.progress_reporter from ray.tune.callback import Callback from ray.tune.execution.placement_groups import PlacementGroupFactory from ray.tune.experimental.output import AirVerbosity @@ -575,9 +576,7 @@ class RunConfig: verbose: Optional[Union[int, "AirVerbosity", "Verbosity"]] = None stop: Optional[Union[Mapping, "Stopper", Callable[[str, Mapping], bool]]] = None callbacks: Optional[List["Callback"]] = None - progress_reporter: Optional[ - "ray.tune.progress_reporter.ProgressReporter" # noqa: F821 - ] = None + progress_reporter: Optional["ray.tune.progress_reporter.ProgressReporter"] = None log_to_file: Union[bool, str, Tuple[str, str]] = False # Deprecated From 94c5f6c0daa44b28ccbcb3ef275ce8233a9392f1 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 15 Jul 2025 13:06:04 -0700 Subject: [PATCH 0215/1566] [Data] Actor location tracker (#54590) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- .../execution/node_trackers/actor_location.py | 41 +++++++++++++++++++ .../operators/actor_pool_map_operator.py | 23 +++++++++-- .../tests/test_actor_pool_map_operator.py | 4 +- 3 files changed, 64 insertions(+), 4 deletions(-) create mode 100644 python/ray/data/_internal/execution/node_trackers/actor_location.py diff --git a/python/ray/data/_internal/execution/node_trackers/actor_location.py b/python/ray/data/_internal/execution/node_trackers/actor_location.py new file mode 100644 index 000000000000..6acab96fc58e --- /dev/null +++ b/python/ray/data/_internal/execution/node_trackers/actor_location.py @@ -0,0 +1,41 @@ +import threading +from typing import List + +import ray +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy + + +@ray.remote(num_cpus=0, max_restarts=-1, max_task_retries=-1) +class ActorLocationTracker: + def __init__(self): + self._actor_locations = {} + self._actor_locations_lock = threading.Lock() + + def update_actor_location(self, logical_actor_id: str, node_id: str): + with self._actor_locations_lock: + self._actor_locations[logical_actor_id] = node_id + + def get_actor_locations(self, logical_actor_ids: List[str]): + return { + logical_actor_id: self._actor_locations.get(logical_actor_id, None) + for logical_actor_id in logical_actor_ids + } + + +def get_or_create_actor_location_tracker(): + + # Pin the actor location tracker to the local node so it fate-shares with the driver. + # NOTE: for Ray Client, the ray.get_runtime_context().get_node_id() should + # point to the head node. + scheduling_strategy = NodeAffinitySchedulingStrategy( + ray.get_runtime_context().get_node_id(), + soft=False, + ) + return ActorLocationTracker.options( + name="ActorLocationTracker", + namespace="ActorLocationTracker", + get_if_exists=True, + lifetime="detached", + scheduling_strategy=scheduling_strategy, + max_concurrency=8, + ).remote() diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 5322e1574e20..4e718fc88d98 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -26,6 +26,10 @@ TaskContext, ) from ray.data._internal.execution.interfaces.physical_operator import _ActorPoolInfo +from ray.data._internal.execution.node_trackers.actor_location import ( + ActorLocationTracker, + get_or_create_actor_location_tracker, +) from ray.data._internal.execution.operators.map_operator import MapOperator, _map_task from ray.data._internal.execution.operators.map_transformer import MapTransformer from ray.data._internal.execution.util import locality_string @@ -223,11 +227,14 @@ def start(self, options: ExecutionOptions): def should_add_input(self) -> bool: return self._actor_pool.num_free_task_slots() > 0 - def _start_actor(self, labels: Dict[str, str]) -> Tuple[ActorHandle, ObjectRef]: + def _start_actor( + self, labels: Dict[str, str], logical_actor_id: str + ) -> Tuple[ActorHandle, ObjectRef]: """Start a new actor and add it to the actor pool as a pending actor. Args: labels: The key-value labels to launch the actor with. + logical_actor_id: A unique identifier for the actor. Returns: A tuple of the actor handle and the object ref to the actor's location. @@ -239,9 +246,11 @@ def _start_actor(self, labels: Dict[str, str]) -> Tuple[ActorHandle, ObjectRef]: actor = self._cls.options( _labels={self._OPERATOR_ID_LABEL_KEY: self.id, **labels} ).remote( - ctx, + ctx=ctx, + logical_actor_id=logical_actor_id, src_fn_name=self.name, map_transformer=self._map_transformer, + actor_location_tracker=get_or_create_actor_location_tracker(), ) res_ref = actor.get_location.options(name=f"{self.name}.get_location").remote() @@ -486,12 +495,20 @@ def __init__( ctx: DataContext, src_fn_name: str, map_transformer: MapTransformer, + logical_actor_id: str, + actor_location_tracker: ActorLocationTracker, ): DataContext._set_current(ctx) self.src_fn_name: str = src_fn_name self._map_transformer = map_transformer # Initialize state for this actor. self._map_transformer.init() + self._logical_actor_id = logical_actor_id + ray.get( + actor_location_tracker.update_actor_location.remote( + self._logical_actor_id, ray.get_runtime_context().get_node_id() + ) + ) def get_location(self) -> NodeIdStr: return ray.get_runtime_context().get_node_id() @@ -851,7 +868,7 @@ def scale(self, req: ActorPoolScalingRequest) -> Optional[int]: def _create_actor(self) -> Tuple[ray.actor.ActorHandle, ObjectRef]: logical_actor_id = str(uuid.uuid4()) labels = {self.get_logical_id_label_key(): logical_actor_id} - actor, ready_ref = self._create_actor_fn(labels) + actor, ready_ref = self._create_actor_fn(labels, logical_actor_id) self._actor_to_logical_id[actor] = logical_actor_id return actor, ready_ref diff --git a/python/ray/data/tests/test_actor_pool_map_operator.py b/python/ray/data/tests/test_actor_pool_map_operator.py index 4f5edb49c9bc..cf68f0ee05c8 100644 --- a/python/ray/data/tests/test_actor_pool_map_operator.py +++ b/python/ray/data/tests/test_actor_pool_map_operator.py @@ -80,7 +80,9 @@ def _pick_actor( return None def _create_actor_fn( - self, labels: Dict[str, Any] + self, + labels: Dict[str, Any], + logical_actor_id: str = "Actor1", ) -> Tuple[ActorHandle, ObjectRef[Any]]: actor = PoolWorker.options(_labels=labels).remote(self._actor_node_id) ready_ref = actor.get_location.remote() From a2baa961d8f5efcf1e43a65f70f705a64a94c402 Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Tue, 15 Jul 2025 13:36:02 -0700 Subject: [PATCH 0216/1566] [doc] fix one comment for experiment-tracking user guide (#54605) --------- Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- doc/source/train/user-guides/experiment-tracking.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/train/user-guides/experiment-tracking.rst b/doc/source/train/user-guides/experiment-tracking.rst index e2321c334ca0..5feb082a43e9 100644 --- a/doc/source/train/user-guides/experiment-tracking.rst +++ b/doc/source/train/user-guides/experiment-tracking.rst @@ -66,6 +66,7 @@ The following examples uses Weights & Biases (W&B) and MLflow but it's adaptable # Step 3 if train.get_context().get_world_rank() == 0: + # Only report the results from the rank 0 worker to W&B to avoid duplication. wandb.log(metrics) # ... @@ -99,11 +100,10 @@ The following examples uses Weights & Biases (W&B) and MLflow but it's adaptable loss = optimize() metrics = {"loss": loss} - # Only report the results from the first worker to MLflow - to avoid duplication # Step 3 if train.get_context().get_world_rank() == 0: + # Only report the results from the rank 0 worker to MLflow to avoid duplication. mlflow.log_metrics(metrics) .. tip:: From c1e84f2ff91d218e23e0ab88265850453440749e Mon Sep 17 00:00:00 2001 From: Ryan C Date: Tue, 15 Jul 2025 17:42:51 -0400 Subject: [PATCH 0217/1566] [Data] Fixed chained inplace assignment to prevent FutureWarning from Pandas (#54486) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? My cluster logs were spammed with tons of messages like this when using SimpleInputer: ``` (ReadParquet->SimpleImputer->VectorImputer->TargetTransform->FeatureSelector pid=371, ip=240.248.23.198) /home/ray/.venv/lib/python3.10/site-packages/ray/data/preprocessors/imputer.py:169: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method. [repeated 1020x across cluster] (ReadParquet->SimpleImputer->VectorImputer->TargetTransform->FeatureSelector pid=371, ip=240.248.23.198) The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy. [repeated 1020x across cluster] (ReadParquet->SimpleImputer->VectorImputer->TargetTransform->FeatureSelector pid=371, ip=240.248.23.198) For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object. [repeated 1020x across cluster] (ReadParquet->SimpleImputer->VectorImputer->TargetTransform->FeatureSelector pid=371, ip=240.248.23.198) df[output_column].fillna(value, inplace=True) ``` I implemented the fix recommended in the warning to replace it, keeping the usage of inplace. I attempted to create a test for this warning, but I'm unable to replicate it in a test environment - it seems to only happen in my on-cluster runs. But I might be missing something necessary to trigger the warning in a test environment. Insight is welcome. I have run existing unit tests though - passing. I have however tested this as a custom preprocessor in my own workloads, and it works exactle as intended (no more warnings) ## Related issue number N/A ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Ryan Clough Signed-off-by: Douglas Strodtman --- python/ray/data/preprocessors/imputer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/preprocessors/imputer.py b/python/ray/data/preprocessors/imputer.py index 7dd8f6e81fb7..c388cca14230 100644 --- a/python/ray/data/preprocessors/imputer.py +++ b/python/ray/data/preprocessors/imputer.py @@ -166,7 +166,7 @@ def _transform_pandas(self, df: pd.DataFrame): ): df[output_column] = df[column].copy(deep=True) - df[output_column].fillna(value, inplace=True) + df.fillna({output_column: value}, inplace=True) return df From 7d3d510f5ca58c392ba009c7ebfb0b878c18d6e7 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Tue, 15 Jul 2025 15:11:38 -0700 Subject: [PATCH 0218/1566] [serve] skip autoscaling test (#54631) `test_replicas_die` is specifically testing for how metrics at the handle get cleaned up when replicas die. So it's not relevant if we do not collect metrics at the handle - in that case, skip the test. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_autoscaling_policy.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 4421006e16f5..84330d7245c2 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -180,6 +180,10 @@ async def __call__(self): wait_for_condition(check_num_requests_eq, client=client, id=dep_id, expected=0) tlog("Queued and ongoing requests dropped to 0.") + @pytest.mark.skipif( + not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, + reason="Needs metric collection at handle.", + ) @pytest.mark.parametrize("use_generator", [True, False]) def test_replicas_die(self, serve_instance_with_signal, use_generator): """If replicas die while requests are still executing, that From 9a2e0e06806e7ef2b3787aee9a5cf4391be27b2a Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Tue, 15 Jul 2025 16:28:28 -0700 Subject: [PATCH 0219/1566] [Serve.llm] Make llm serve endpoints compatible with vLLM serve frontend (6/N): Major LLMServer and LLMEngine refactor (#54554) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 14 - doc/source/serve/api/index.md | 22 +- doc/source/serve/llm/serving-llms.rst | 21 +- .../_internal/serve/configs/error_handling.py | 91 -- .../serve/configs/json_mode_utils.py | 131 --- .../serve/configs/openai_api_models.py | 767 ++--------------- .../serve/configs/openai_api_models_patch.py | 148 ---- .../_internal/serve/configs/prompt_formats.py | 119 --- .../_internal/serve/configs/server_models.py | 408 --------- .../serve/deployments/llm/llm_engine.py | 114 ++- .../serve/deployments/llm/llm_server.py | 579 +++---------- .../serve/deployments/llm/vllm/vllm_engine.py | 768 +++++------------ .../deployments/llm/vllm/vllm_engine_stats.py | 213 ----- .../serve/deployments/llm/vllm/vllm_models.py | 174 ++-- .../prefill_decode_disagg.py | 119 +-- .../serve/deployments/routers/middleware.py | 4 +- .../serve/deployments/routers/router.py | 39 +- .../serve/deployments/utils/batcher.py | 22 +- .../deployments/utils/error_handling_utils.py | 93 -- .../serve/deployments/utils/metrics_utils.py | 78 -- .../utils/node_initialization_utils.py | 10 +- .../serve/deployments/utils/server_utils.py | 26 +- python/ray/llm/tests/serve/conftest.py | 51 ++ .../config_generator/test_input_converter.py | 5 + .../config_generator/test_text_completion.py | 7 +- .../serve/cpu/configs/test_json_mode_utils.py | 92 -- .../cpu/configs/test_openai_api_models.py | 29 - .../serve/cpu/configs/test_prompt_formats.py | 83 -- .../serve/cpu/configs/test_server_models.py | 96 --- .../test_lora_deployment_base_client.py | 14 +- .../multiplex/test_multiplex_deployment.py | 82 -- .../cpu/deployments/llm/test_llm_engine.py | 83 ++ .../cpu/deployments/llm/test_llm_server.py | 604 +++++-------- .../deployments/llm/vllm/test_vllm_engine.py | 199 ----- .../test_prefill_decode_disagg.py | 131 +-- .../cpu/deployments/routers/test_router.py | 6 +- .../cpu/deployments/test_server_utils.py | 45 - .../test_streaming_error_handler.py | 126 --- .../cpu/deployments/utils/test_batcher.py | 54 +- .../llm/vllm/test_vllm_engine_gpu.py | 73 -- .../integration/test_openai_compatibility.py | 143 +--- ...penai_compatibility_no_accelerator_type.py | 2 +- .../llm/tests/serve/mocks/mock_vllm_engine.py | 808 +++++------------- python/ray/llm/tests/serve/utils/__init__.py | 1 + .../llm/tests/serve/utils/testing_utils.py | 96 +++ python/ray/serve/llm/openai_api_models.py | 9 +- .../llama_3dot1_8b_quantized_tp1.yaml | 1 + .../model_config/llama_3dot1_8b_tp2.yaml | 1 + ...rve_llama_3dot1_8b_quantized_tp1_2p6d.yaml | 2 + .../serve_llama_3dot2_1b_no_accelerator.yaml | 1 + .../configs/serve_llama_3dot2_1b_s3.yaml | 1 + release/llm_tests/serve/probes/models.py | 10 +- release/llm_tests/serve/probes/query_utils.py | 21 +- release/llm_tests/serve/probes/test_basic.py | 2 +- .../llm_tests/serve/probes/test_json_mode.py | 15 +- release/llm_tests/serve/probes/test_models.py | 2 +- .../serve/test_llm_serve_correctness.py | 2 - 57 files changed, 1447 insertions(+), 5410 deletions(-) delete mode 100644 python/ray/llm/_internal/serve/configs/error_handling.py delete mode 100644 python/ray/llm/_internal/serve/configs/json_mode_utils.py delete mode 100644 python/ray/llm/_internal/serve/configs/openai_api_models_patch.py delete mode 100644 python/ray/llm/_internal/serve/configs/prompt_formats.py delete mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine_stats.py delete mode 100644 python/ray/llm/_internal/serve/deployments/utils/error_handling_utils.py delete mode 100644 python/ray/llm/_internal/serve/deployments/utils/metrics_utils.py delete mode 100644 python/ray/llm/tests/serve/cpu/configs/test_json_mode_utils.py delete mode 100644 python/ray/llm/tests/serve/cpu/configs/test_openai_api_models.py delete mode 100644 python/ray/llm/tests/serve/cpu/configs/test_prompt_formats.py delete mode 100644 python/ray/llm/tests/serve/cpu/configs/test_server_models.py delete mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py create mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py delete mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py delete mode 100644 python/ray/llm/tests/serve/cpu/deployments/test_server_utils.py delete mode 100644 python/ray/llm/tests/serve/cpu/deployments/test_streaming_error_handler.py delete mode 100644 python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py create mode 100644 python/ray/llm/tests/serve/utils/__init__.py create mode 100644 python/ray/llm/tests/serve/utils/testing_utils.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 6de50d8b86f3..37ecee53e326 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1574,23 +1574,9 @@ python/ray/llm/_internal/common/utils/download_utils.py DOC201: Function `get_model_location_on_disk` does not have a return section in docstring DOC201: Method `CloudModelDownloader.get_model` does not have a return section in docstring -------------------- -python/ray/llm/_internal/serve/configs/json_mode_utils.py - DOC201: Method `JSONSchemaValidator.try_load_json_schema` does not have a return section in docstring --------------------- python/ray/llm/_internal/serve/configs/openai_api_models.py DOC201: Function `to_model_metadata` does not have a return section in docstring -------------------- -python/ray/llm/_internal/serve/configs/prompt_formats.py - DOC101: Method `Image.check_image_url`: Docstring contains fewer arguments than in function signature. - DOC106: Method `Image.check_image_url`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `Image.check_image_url`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Method `Image.check_image_url`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [value: ]. - DOC201: Method `Image.check_image_url` does not have a return section in docstring --------------------- -python/ray/llm/_internal/serve/deployments/llm/llm_server.py - DOC402: Method `LLMServer.embeddings` has "yield" statements, but the docstring does not have a "Yields" section - DOC404: Method `LLMServer.embeddings` yield type(s) in docstring not consistent with the return annotation. Return annotation exists, but docstring "yields" section does not exist or has 0 type(s). --------------------- python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py DOC201: Function `retry_with_exponential_backoff` does not have a return section in docstring DOC101: Function `get_object_from_cloud`: Docstring contains fewer arguments than in function signature. diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index 52a67da52c9b..37ae947210cb 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -465,24 +465,4 @@ Content-Type: application/json serve.llm.LLMServer serve.llm.LLMRouter -``` - -### OpenAI API Models - -```{eval-rst} - -.. autosummary:: - :nosignatures: - :toctree: doc/ - :template: autosummary/autopydantic_show_json.rst - - serve.llm.openai_api_models.ChatCompletionRequest - serve.llm.openai_api_models.CompletionRequest - serve.llm.openai_api_models.EmbeddingRequest - serve.llm.openai_api_models.ChatCompletionStreamResponse - serve.llm.openai_api_models.ChatCompletionResponse - serve.llm.openai_api_models.CompletionStreamResponse - serve.llm.openai_api_models.CompletionResponse - serve.llm.openai_api_models.EmbeddingResponse - serve.llm.openai_api_models.ErrorResponse -``` +``` \ No newline at end of file diff --git a/doc/source/serve/llm/serving-llms.rst b/doc/source/serve/llm/serving-llms.rst index 0d9ae9995a0c..537f2bcc4059 100644 --- a/doc/source/serve/llm/serving-llms.rst +++ b/doc/source/serve/llm/serving-llms.rst @@ -507,6 +507,9 @@ You can generate embeddings by selecting the embed task in the engine arguments. Models supporting this use case are listed at `vLLM text embedding models `_. + +Note: You need to set the `VLLM_USE_V1` environment variable to `0`, since the VLLM V1 still does not fully support the embedding endpoints. + .. tab-set:: .. tab-item:: Server @@ -525,6 +528,11 @@ Models supporting this use case are listed at engine_kwargs=dict( task="embed", ), + runtime_env=dict( + env_vars={ + "VLLM_USE_V1": "0", + } + ), ) app = build_openai_app({"llm_configs": [llm_config]}) @@ -908,19 +916,6 @@ An example config is shown below: route_prefix: "/" -There are some differences between `vllm serve` cli and Ray Serve LLM endpoint behavior. How do I work around that? -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -We have opened an issue to track and fix this: https://github.com/ray-project/ray/issues/53533. Please add comments to this issue thread if you are facing problems that fall under this category. We have identified the following example issues so far: - -- Tool calling is not supported in the same way it is supported in `vllm serve` CLI. This is due to the extra logical pieces of code that map CLI args to extra layers in the API server critical path. - -- vLLM has a different critical path for dealing with the tokenizer of Mistral models. This logic has not been copied over to Ray Serve LLM, because we want to find a more maintainable solution. - -- Some sampling parameters, like `max_completion_tokens`, are supported differently in Ray Serve LLM and `vllm serve` CLI. - - - Usage Data Collection -------------------------- We collect usage data to improve Ray Serve LLM. diff --git a/python/ray/llm/_internal/serve/configs/error_handling.py b/python/ray/llm/_internal/serve/configs/error_handling.py deleted file mode 100644 index 7613b5ab906a..000000000000 --- a/python/ray/llm/_internal/serve/configs/error_handling.py +++ /dev/null @@ -1,91 +0,0 @@ -# TODO (genesu): revisit these data structures -from abc import ABC, abstractmethod - -from pydantic import ValidationError as PydanticValidationError - - -class ValidationError(ValueError): - status_code = 400 - pass - - -class ValidationErrorWithPydantic(ValidationError): - """Wraps a PydanticValidationError to be used as a ValidationError. - - This is necessary as pydantic.ValidationError cannot be subclassed, - which causes errors when Ray tries to wrap it in a - RayTaskError/RayActorError.""" - - def __init__(self, exc: PydanticValidationError) -> None: - self.exc = exc - # BaseException implements a __reduce__ method that returns - # a tuple with the type and the value of self.args. - # https://stackoverflow.com/a/49715949/2213289 - self.args = (exc,) - - def __getattr__(self, name): - return getattr(self.exc, name) - - def __repr__(self) -> str: - return self.exc.__repr__() - - def __str__(self) -> str: - return self.exc.__str__() - - -class PromptTooLongError(ValidationError): - pass - - -class TooManyStoppingSequencesError(ValidationError): - pass - - -class ErrorReason(ABC): - @abstractmethod - def get_message(self) -> str: - raise NotImplementedError - - def __str__(self) -> str: - return self.get_message() - - @property - @abstractmethod - def exception(self) -> Exception: - raise NotImplementedError - - def raise_exception(self) -> Exception: - raise self.exception - - -class InputTooLong(ErrorReason): - def __init__(self, num_tokens: int, max_num_tokens: int) -> None: - self.num_tokens = num_tokens - self.max_num_tokens = max_num_tokens - - def get_message(self) -> str: - if self.num_tokens < 0: - return f"Input too long. The maximum input length is {self.max_num_tokens} tokens." - return f"Input too long. Received {self.num_tokens} tokens, but the maximum input length is {self.max_num_tokens} tokens." - - @property - def exception(self) -> Exception: - return PromptTooLongError(self.get_message()) - - -class TooManyStoppingSequences(ErrorReason): - def __init__( - self, num_stopping_sequences: int, max_num_stopping_sequences: int - ) -> None: - self.num_stopping_sequences = num_stopping_sequences - self.max_num_stopping_sequences = max_num_stopping_sequences - - def get_message(self) -> str: - return ( - f"Too many stopping sequences. Received {self.num_stopping_sequences} stopping sequences," - f"but the maximum is {self.max_num_stopping_sequences}. Please reduce the number of provided stopping sequences." - ) - - @property - def exception(self) -> Exception: - return TooManyStoppingSequencesError(self.get_message()) diff --git a/python/ray/llm/_internal/serve/configs/json_mode_utils.py b/python/ray/llm/_internal/serve/configs/json_mode_utils.py deleted file mode 100644 index 120f7841ad3c..000000000000 --- a/python/ray/llm/_internal/serve/configs/json_mode_utils.py +++ /dev/null @@ -1,131 +0,0 @@ -import json -from typing import ( - Any, - Dict, - Optional, - Union, -) - -from fastapi import status - -from ray.llm._internal.common.utils.import_utils import try_import -from ray.llm._internal.serve.configs.openai_api_models import OpenAIHTTPException - -jsonref = try_import("jsonref", warning=True) -jsonschema = try_import("jsonschema", warning=True) - - -INVALID_JSON_REFERENCES_MSG = "Invalid JSON References. The schema provided has references ($refs) that were unable to be found." -INVALID_JSON_REFERENCES = "InvalidJsonReferences" -INVALID_RESPONSE_FORMAT_SCHEMA = "InvalidResponseFormatSchema" -INVALID_RESPONSE_FORMAT_SCHEMA_MSG = "The provided json schema was not valid." - - -def raise_invalid_response_format_schema(error_msg: str, e: Optional[Exception]): - raise OpenAIHTTPException( - message=INVALID_RESPONSE_FORMAT_SCHEMA_MSG + " Exception:\n" + error_msg, - status_code=status.HTTP_400_BAD_REQUEST, - type=INVALID_RESPONSE_FORMAT_SCHEMA, - ) from e - - -class JSONSchemaValidator: - _instance = None - _validator = None - - # Singleton pattern to ensure that the validator is only initialized once. - # This is because the construction of Draft202012Validator might be expensive. - def __new__(cls): - if cls._instance is None: - cls._instance = super().__new__(cls) - return cls._instance - - def __init__(self): - if jsonref is None or jsonschema is None: - raise ImportError( - "You must `pip install jsonref>=1.1.0 jsonschema` to use json mode." - ) - - self._ensure_validator() - - def _ensure_validator(self): - if self._validator is None: - # Enable strict mode by ensuring that the schema does not have any - # additional properties. - # https://github.com/python-jsonschema/jsonschema/issues/268#issuecomment-1828531763 - _strict_metaschema = { - "$schema": "https://json-schema.org/draft/2020-12/schema", - "$id": "https://json-schema.org/draft/2020-12/strict", - "$ref": "https://json-schema.org/draft/2020-12/schema", - "unevaluatedProperties": False, - } - self._validator = jsonschema.Draft202012Validator(_strict_metaschema) - - @property - def strict_validator(self): - self._ensure_validator() - return self._validator - - def _dereference_json( - self, schema: Optional[Union[str, Dict[str, Any]]] - ) -> Dict[str, Any]: - """Remove $defs/definitions from json schema by dereferencing any references.""" - - if schema is None: - return {} - if isinstance(schema, str): - schema = json.loads(schema) - try: - schema = dict( - jsonref.loads( - json.dumps(schema), - lazy_load=False, - proxies=False, - ) - ) - except jsonref.JsonRefError as e: - # If the schema is invalid because references aren't able to be resolved, - # we want to raise an error to the user. - raise OpenAIHTTPException( - message=INVALID_JSON_REFERENCES_MSG + ": " + str(e), - status_code=status.HTTP_400_BAD_REQUEST, - type=INVALID_JSON_REFERENCES, - ) from e - schema.pop("$defs", None) - schema.pop("definitions", None) - return schema - - def try_load_json_schema( - self, - response_schema: Optional[Union[str, Dict[str, Any]]], - ) -> Dict[str, Any]: - """Try to load the json schema from the response format. - - - Attempt to validate the schema against Meta JSON Schema. - - Dereference any definitions in the schema. - - Args: - response_schema: The response format dictionary. - - """ - if response_schema is None: - return {} - try: - if isinstance(response_schema, str): - response_schema = json.loads(response_schema) - elif not isinstance(response_schema, dict): - raise jsonschema.ValidationError( - "Schema must be a string or a dict. " - f"Got {type(response_schema)} instead." - ) - self.strict_validator.validate(response_schema) - except ( - jsonschema.ValidationError, - jsonschema.SchemaError, - json.JSONDecodeError, - ) as e: - error_msg = str(e) - raise_invalid_response_format_schema(error_msg, e) - - response_schema = self._dereference_json(response_schema) - return response_schema diff --git a/python/ray/llm/_internal/serve/configs/openai_api_models.py b/python/ray/llm/_internal/serve/configs/openai_api_models.py index 0936abb9589b..bb0b195d93f4 100644 --- a/python/ray/llm/_internal/serve/configs/openai_api_models.py +++ b/python/ray/llm/_internal/serve/configs/openai_api_models.py @@ -1,728 +1,102 @@ -""" -Note (genesu): majority of this file is adapted from -- https://github.com/vllm-project/vllm/blob/5095e966069b9e65b7c4c63427e06cebacaad0a0/vllm/entrypoints/openai/protocol.py -- https://github.com/vllm-project/vllm/blob/5095e966069b9e65b7c4c63427e06cebacaad0a0/vllm/entrypoints/chat_utils.py -- https://github.com/openai/openai-python/tree/2e56c8da6f163db00a4ca362020148bb391edca9/src/openai/types/chat +"""This module contains the wrapper classes for vLLM's OpenAI implementation. -We patched `ErrorResponse` and `ResponseFormat` to be slightly different from the -original source. +If there are any major differences in the interface, the expectation is that +they will be upstreamed to vLLM. """ - -import time -from argparse import Namespace -from typing import ( - Any, - AsyncGenerator, - Dict, - Iterable, - List, - Literal, - Optional, - TypeVar, - Union, -) +from typing import TYPE_CHECKING, Any, AsyncGenerator, Dict, List, Optional, Union from pydantic import ( BaseModel, + ConfigDict, Field, - model_validator, -) -from typing_extensions import Annotated, Required, TypeAlias, TypedDict - -from ray.llm._internal.serve.configs.openai_api_models_patch import ( - ErrorResponse, - ResponseFormatType as ResponseFormat, -) -from ray.llm._internal.serve.configs.server_models import ( - LLMConfig, - LLMRawResponse, - ModelData, ) -from ray.serve._private.utils import ( - generate_request_id, +from vllm.entrypoints.openai.protocol import ( + ChatCompletionRequest as vLLMChatCompletionRequest, + ChatCompletionResponse as vLLMChatCompletionResponse, + ChatCompletionStreamResponse as vLLMChatCompletionStreamResponse, + CompletionRequest as vLLMCompletionRequest, + CompletionResponse as vLLMCompletionResponse, + CompletionStreamResponse as vLLMCompletionStreamResponse, + EmbeddingChatRequest as vLLMEmbeddingChatRequest, + EmbeddingCompletionRequest as vLLMEmbeddingCompletionRequest, + EmbeddingResponse as vLLMEmbeddingResponse, + ErrorResponse as vLLMErrorResponse, ) +from vllm.utils import random_uuid -# openai.types.chat aliases. -# We use aliases becasuse openai.types.chat is not installed in the docs build. -# This is a hack to make the docs build pass. -ChatCompletionContentPartInputAudioParam = TypeVar( - "ChatCompletionContentPartInputAudioParam", bound=Any -) -ChatCompletionContentPartRefusalParam = TypeVar( - "ChatCompletionContentPartRefusalParam", bound=Any -) -ChatCompletionMessageToolCallParam = TypeVar( - "ChatCompletionMessageToolCallParam", bound=Any -) -OpenAIChatCompletionContentPartParam = TypeVar( - "OpenAIChatCompletionContentPartParam", bound=Any -) - -_LONG_INFO = Namespace(min=-9223372036854775808, max=9223372036854775807) - - -class AudioURL(TypedDict, total=False): - url: Required[str] - """ - Either a URL of the audio or a data URL with base64 encoded audio data. - """ - - -class ChatCompletionContentPartAudioParam(TypedDict, total=False): - audio_url: Required[AudioURL] - - type: Required[Literal["audio_url"]] - """The type of the content part.""" - - -class VideoURL(TypedDict, total=False): - url: Required[str] - """ - Either a URL of the video or a data URL with base64 encoded video data. - """ - - -class ChatCompletionContentPartVideoParam(TypedDict, total=False): - video_url: Required[VideoURL] - - type: Required[Literal["video_url"]] - """The type of the content part.""" - - -class CustomChatCompletionContentSimpleImageParam(TypedDict, total=False): - """A simpler version of the param that only accepts a plain image_url. - This is supported by OpenAI API, although it is not documented. - - Example: - { - "image_url": "https://example.com/image.jpg" - } - """ - - image_url: Required[str] - - -class CustomChatCompletionContentSimpleAudioParam(TypedDict, total=False): - """A simpler version of the param that only accepts a plain audio_url. - - Example: - { - "audio_url": "https://example.com/audio.mp3" - } - """ - - audio_url: Required[str] - - -class CustomChatCompletionContentSimpleVideoParam(TypedDict, total=False): - """A simpler version of the param that only accepts a plain audio_url. - - Example: - { - "video_url": "https://example.com/video.mp4" - } - """ - - video_url: Required[str] - - -# Ref: https://huggingface.co/mistral-community/pixtral-12b -# -# Community version of pixtral uses the key `content` instead of `text` in the content. -# This is to support the "content" content type in the prompt format, as opposite of -# the "text" content from the above which most other model uses. -class ChatCompletionContentPartContentParam(TypedDict, total=False): - content: Required[str] - """The content content.""" - - type: Required[Literal["text"]] - """The type of the content part.""" - - -ChatCompletionContentPartParam: TypeAlias = Union[ - OpenAIChatCompletionContentPartParam, - ChatCompletionContentPartAudioParam, - ChatCompletionContentPartInputAudioParam, - ChatCompletionContentPartVideoParam, - ChatCompletionContentPartRefusalParam, - CustomChatCompletionContentSimpleImageParam, - CustomChatCompletionContentSimpleAudioParam, - CustomChatCompletionContentSimpleVideoParam, - str, -] - - -class ChatCompletionMessageParam(TypedDict, total=False): - """Enables custom roles in the Chat Completion API.""" - - role: Required[str] - """The role of the message's author.""" - - content: Union[str, List[ChatCompletionContentPartParam]] - """The contents of the message.""" - - name: str - """An optional name for the participant. - - Provides the model information to differentiate between participants of the - same role. - """ - - tool_call_id: Optional[str] - """Tool call that this message is responding to.""" - - tool_calls: Optional[Iterable[ChatCompletionMessageToolCallParam]] - """The tool calls generated by the model, such as function calls.""" - - -class StreamOptions(BaseModel): - include_usage: Optional[bool] = True - continuous_usage_stats: Optional[bool] = False +if TYPE_CHECKING: + from ray.llm._internal.serve.configs.server_models import LLMConfig -class FunctionDefinition(BaseModel): - name: str - description: Optional[str] = None - parameters: Optional[Dict[str, Any]] = None +class ChatCompletionRequest(vLLMChatCompletionRequest): + model_config = ConfigDict(arbitrary_types_allowed=True) -class ChatCompletionToolsParam(BaseModel): - type: Literal["function"] = "function" - function: FunctionDefinition +class ChatCompletionResponse(vLLMChatCompletionResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class ChatCompletionNamedFunction(BaseModel): - name: str +class ChatCompletionStreamResponse(vLLMChatCompletionStreamResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class ChatCompletionNamedToolChoiceParam(BaseModel): - function: ChatCompletionNamedFunction - type: Literal["function"] = "function" +class ErrorResponse(vLLMErrorResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class LogitsProcessorConstructor(BaseModel): - qualname: str - args: Optional[List[Any]] = None - kwargs: Optional[Dict[str, Any]] = None +# TODO (Kourosh): Upstream +class CompletionRequest(vLLMCompletionRequest): + model_config = ConfigDict(arbitrary_types_allowed=True) - -LogitsProcessors = List[Union[str, LogitsProcessorConstructor]] - - -class ChatCompletionRequest(BaseModel): - # Ordered by official OpenAI API documentation - # https://platform.openai.com/docs/api-reference/chat/create - messages: Annotated[List[ChatCompletionMessageParam], Field(min_length=1)] - model: str - frequency_penalty: Optional[float] = 0.0 - logit_bias: Optional[Dict[str, float]] = None - logprobs: Optional[bool] = False - top_logprobs: Optional[int] = 0 - # TODO(#9845): remove max_tokens when field is removed from OpenAI API - max_tokens: Optional[int] = Field( - default=None, - deprecated="max_tokens is deprecated in favor of the max_completion_tokens field", - ) - max_completion_tokens: Optional[int] = None - n: Optional[int] = 1 - presence_penalty: Optional[float] = 0.0 - response_format: Optional[ResponseFormat] = None - seed: Optional[int] = Field(None, ge=_LONG_INFO.min, le=_LONG_INFO.max) - stop: Optional[Union[str, List[str]]] = Field(default_factory=list) - stream: Optional[bool] = False - stream_options: Optional[StreamOptions] = None - temperature: Optional[float] = None - top_p: Optional[float] = None - tools: Optional[List[ChatCompletionToolsParam]] = None - tool_choice: Optional[ - Union[Literal["none"], Literal["auto"], ChatCompletionNamedToolChoiceParam] - ] = "none" - - # NOTE this will be ignored by vLLM -- the model determines the behavior - parallel_tool_calls: Optional[bool] = False - user: Optional[str] = None - - # doc: begin-chat-completion-sampling-params - best_of: Optional[int] = None - use_beam_search: bool = False - top_k: Optional[int] = None - min_p: Optional[float] = None - repetition_penalty: Optional[float] = None - length_penalty: float = 1.0 - stop_token_ids: Optional[List[int]] = Field(default_factory=list) - include_stop_str_in_output: bool = False - ignore_eos: bool = False - min_tokens: int = 0 - skip_special_tokens: bool = True - spaces_between_special_tokens: bool = True - truncate_prompt_tokens: Optional[Annotated[int, Field(ge=1)]] = None - prompt_logprobs: Optional[int] = None - # doc: end-chat-completion-sampling-params - - # doc: begin-chat-completion-extra-params - echo: bool = Field( - default=False, - description=( - "If true, the new message will be prepended with the last message " - "if they belong to the same role." - ), - ) - add_generation_prompt: bool = Field( - default=True, - description=( - "If true, the generation prompt will be added to the chat template. " - "This is a parameter used by chat template in tokenizer config of the " - "model." - ), - ) - continue_final_message: bool = Field( - default=False, - description=( - "If this is set, the chat will be formatted so that the final " - "message in the chat is open-ended, without any EOS tokens. The " - "model will continue this message rather than starting a new one. " - 'This allows you to "prefill" part of the model\'s response for it. ' - "Cannot be used at the same time as `add_generation_prompt`." - ), - ) - add_special_tokens: bool = Field( - default=False, - description=( - "If true, special tokens (e.g. BOS) will be added to the prompt " - "on top of what is added by the chat template. " - "For most models, the chat template takes care of adding the " - "special tokens so this should be set to false (as is the " - "default)." - ), - ) - documents: Optional[List[Dict[str, str]]] = Field( - default=None, - description=( - "A list of dicts representing documents that will be accessible to " - "the model if it is performing RAG (retrieval-augmented generation)." - " If the template does not support RAG, this argument will have no " - "effect. We recommend that each document should be a dict containing " - '"title" and "text" keys.' - ), - ) - chat_template: Optional[str] = Field( - default=None, - description=( - "A Jinja template to use for this conversion. " - "As of transformers v4.44, default chat template is no longer " - "allowed, so you must provide a chat template if the tokenizer " - "does not define one." - ), - ) - chat_template_kwargs: Optional[Dict[str, Any]] = Field( - default=None, - description=( - "Additional kwargs to pass to the template renderer. " - "Will be accessible by the chat template." - ), - ) - guided_json: Optional[Union[str, dict, BaseModel]] = Field( - default=None, - description=("If specified, the output will follow the JSON schema."), - ) - guided_regex: Optional[str] = Field( - default=None, - description=("If specified, the output will follow the regex pattern."), - ) - guided_choice: Optional[List[str]] = Field( - default=None, - description=("If specified, the output will be exactly one of the choices."), - ) - guided_grammar: Optional[str] = Field( - default=None, - description=("If specified, the output will follow the context free grammar."), - ) - guided_decoding_backend: Optional[str] = Field( - default=None, - description=( - "If specified, will override the default guided decoding backend " - "of the server for this specific request. If set, must be either " - "'outlines' / 'lm-format-enforcer'" - ), - ) - guided_whitespace_pattern: Optional[str] = Field( - default=None, - description=( - "If specified, will override the default whitespace pattern " - "for guided json decoding." - ), - ) - priority: int = Field( - default=0, - description=( - "The priority of the request (lower means earlier handling; " - "default: 0). Any priority other than 0 will raise an error " - "if the served model does not use priority scheduling." - ), - ) request_id: str = Field( - default_factory=lambda: f"{generate_request_id()}", + default_factory=lambda: f"{random_uuid()}", description=( "The request_id related to this request. If the caller does " - "not set it, a generate_request_id will be generated. This id is used " + "not set it, a random_uuid will be generated. This id is used " "through out the inference process and return in response." ), ) - logits_processors: Optional[LogitsProcessors] = Field( - default=None, - description=( - "A list of either qualified names of logits processors, or " - "constructor objects, to apply when sampling. A constructor is " - "a JSON object with a required 'qualname' field specifying the " - "qualified name of the processor class/factory, and optional " - "'args' and 'kwargs' fields containing positional and keyword " - "arguments. For example: {'qualname': " - "'my_module.MyLogitsProcessor', 'args': [1, 2], 'kwargs': " - "{'param': 'value'}}." - ), - ) - - # doc: end-chat-completion-extra-params - - -class CompletionRequest(BaseModel): - # Ordered by official OpenAI API documentation - # https://platform.openai.com/docs/api-reference/completions/create - model: str - prompt: Union[List[int], List[List[int]], str, List[str]] - best_of: Optional[int] = None - echo: Optional[bool] = False - frequency_penalty: Optional[float] = 0.0 - logit_bias: Optional[Dict[str, float]] = None - logprobs: Optional[int] = None - max_tokens: Optional[int] = 16 - n: int = 1 - presence_penalty: Optional[float] = 0.0 - seed: Optional[int] = Field(None, ge=_LONG_INFO.min, le=_LONG_INFO.max) - stop: Optional[Union[str, List[str]]] = Field(default_factory=list) - stream: Optional[bool] = False - stream_options: Optional[StreamOptions] = None - suffix: Optional[str] = None - temperature: Optional[float] = None - top_p: Optional[float] = None - user: Optional[str] = None - - # doc: begin-completion-sampling-params - use_beam_search: bool = False - top_k: Optional[int] = None - min_p: Optional[float] = None - repetition_penalty: Optional[float] = None - length_penalty: float = 1.0 - stop_token_ids: Optional[List[int]] = Field(default_factory=list) - include_stop_str_in_output: bool = False - ignore_eos: bool = False - min_tokens: int = 0 - skip_special_tokens: bool = True - spaces_between_special_tokens: bool = True - truncate_prompt_tokens: Optional[Annotated[int, Field(ge=1)]] = None - allowed_token_ids: Optional[List[int]] = None - prompt_logprobs: Optional[int] = None - # doc: end-completion-sampling-params - - # doc: begin-completion-extra-params - add_special_tokens: bool = Field( - default=True, - description=( - "If true (the default), special tokens (e.g. BOS) will be added to " - "the prompt." - ), - ) - response_format: Optional[ResponseFormat] = Field( - default=None, - description=( - "Similar to chat completion, this parameter specifies the format of " - "output. Only {'type': 'json_object'}, {'type': 'json_schema'} or " - "{'type': 'text' } is supported." - ), - ) - guided_json: Optional[Union[str, dict, BaseModel]] = Field( - default=None, - description="If specified, the output will follow the JSON schema.", - ) - guided_regex: Optional[str] = Field( - default=None, - description=("If specified, the output will follow the regex pattern."), - ) - guided_choice: Optional[List[str]] = Field( - default=None, - description=("If specified, the output will be exactly one of the choices."), - ) - guided_grammar: Optional[str] = Field( - default=None, - description=("If specified, the output will follow the context free grammar."), - ) - guided_decoding_backend: Optional[str] = Field( - default=None, - description=( - "If specified, will override the default guided decoding backend " - "of the server for this specific request. If set, must be one of " - "'outlines' / 'lm-format-enforcer'" - ), - ) - guided_whitespace_pattern: Optional[str] = Field( - default=None, - description=( - "If specified, will override the default whitespace pattern " - "for guided json decoding." - ), - ) - priority: int = Field( - default=0, - description=( - "The priority of the request (lower means earlier handling; " - "default: 0). Any priority other than 0 will raise an error " - "if the served model does not use priority scheduling." - ), - ) - logits_processors: Optional[LogitsProcessors] = Field( - default=None, - description=( - "A list of either qualified names of logits processors, or " - "constructor objects, to apply when sampling. A constructor is " - "a JSON object with a required 'qualname' field specifying the " - "qualified name of the processor class/factory, and optional " - "'args' and 'kwargs' fields containing positional and keyword " - "arguments. For example: {'qualname': " - "'my_module.MyLogitsProcessor', 'args': [1, 2], 'kwargs': " - "{'param': 'value'}}." - ), - ) - - # doc: end-completion-extra-params - - -class FunctionCall(BaseModel): - name: str - arguments: str - - -class ToolCall(BaseModel): - id: str = Field(default_factory=lambda: f"chatcmpl-tool-{generate_request_id()}") - type: Literal["function"] = "function" - function: FunctionCall - - -class ChatMessage(BaseModel): - role: str - reasoning_content: Optional[str] = None - content: Optional[str] = None - tool_calls: List[ToolCall] = Field(default_factory=list) - - -class ChatCompletionLogProb(BaseModel): - token: str - logprob: float = -9999.0 - bytes: Optional[List[int]] = None - - -class ChatCompletionLogProbsContent(ChatCompletionLogProb): - top_logprobs: List[ChatCompletionLogProb] = Field(default_factory=list) - - -class ChatCompletionLogProbs(BaseModel): - content: Optional[List[ChatCompletionLogProbsContent]] = None - - -class ChatCompletionResponseChoice(BaseModel): - index: int - message: ChatMessage - logprobs: Optional[ChatCompletionLogProbs] = None - # per OpenAI spec this is the default - finish_reason: Optional[str] = "stop" - # not part of the OpenAI spec but included in vLLM for legacy reasons - stop_reason: Optional[Union[int, str]] = None - - -class DeltaFunctionCall(BaseModel): - name: Optional[str] = None - arguments: Optional[str] = None - - -class DeltaToolCall(BaseModel): - id: str = Field(default_factory=lambda: f"chatcmpl-tool-{generate_request_id()}") - type: Literal["function"] = "function" - index: int - function: Optional[DeltaFunctionCall] = None - -class DeltaMessage(BaseModel): - role: Optional[str] = None - content: Optional[str] = None - reasoning_content: Optional[str] = None - tool_calls: List[DeltaToolCall] = Field(default_factory=list) - @model_validator(mode="after") - def _non_null_content(self): - self.content = self.content or "" - return self +class CompletionResponse(vLLMCompletionResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class ChatCompletionResponseStreamChoice(BaseModel): - index: int - delta: DeltaMessage - logprobs: Optional[ChatCompletionLogProbs] = None - finish_reason: Optional[str] = None - stop_reason: Optional[Union[int, str]] = None +class CompletionStreamResponse(vLLMCompletionStreamResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class PromptTokenUsageInfo(BaseModel): - cached_tokens: Optional[int] = None +# TODO (Kourosh): Upstream +class EmbeddingCompletionRequest(vLLMEmbeddingCompletionRequest): + model_config = ConfigDict(arbitrary_types_allowed=True) - -class UsageInfo(BaseModel): - prompt_tokens: int = 0 - total_tokens: int = 0 - completion_tokens: Optional[int] = 0 - prompt_tokens_details: Optional[PromptTokenUsageInfo] = None - - -class Logprob(BaseModel): - """Infos for supporting OpenAI compatible logprobs and token ranks. - - Attributes: - logprob: The logprob of chosen token - rank: The vocab rank of chosen token (>=1) - decoded_token: The decoded chosen token index - """ - - logprob: float - rank: Optional[int] = None - decoded_token: Optional[str] = None - - -class ChatCompletionStreamResponse(BaseModel): - id: str = Field(default_factory=lambda: f"chatcmpl-{generate_request_id()}") - object: Literal["chat.completion.chunk"] = "chat.completion.chunk" - created: int = Field(default_factory=lambda: int(time.time())) - model: str - choices: List[ChatCompletionResponseStreamChoice] - usage: Optional[UsageInfo] = Field(default=None) - - -class ChatCompletionResponse(BaseModel): - id: str = Field(default_factory=lambda: f"chatcmpl-{generate_request_id()}") - object: Literal["chat.completion"] = "chat.completion" - created: int = Field(default_factory=lambda: int(time.time())) - model: str - choices: List[ChatCompletionResponseChoice] - usage: UsageInfo - prompt_logprobs: Optional[List[Optional[Dict[int, Logprob]]]] = None - - -class CompletionLogProbs(BaseModel): - text_offset: List[int] = Field(default_factory=list) - token_logprobs: List[Optional[float]] = Field(default_factory=list) - tokens: List[str] = Field(default_factory=list) - top_logprobs: List[Optional[Dict[str, float]]] = Field(default_factory=list) - - -class CompletionResponseChoice(BaseModel): - index: int - text: str - logprobs: Optional[CompletionLogProbs] = None - finish_reason: Optional[str] = None - stop_reason: Optional[Union[int, str]] = Field( - default=None, - description=( - "The stop string or token id that caused the completion " - "to stop, None if the completion finished for some other reason " - "including encountering the EOS token" - ), - ) - prompt_logprobs: Optional[List[Optional[Dict[int, Logprob]]]] = None - - -class CompletionResponse(BaseModel): - id: str = Field(default_factory=lambda: f"cmpl-{generate_request_id()}") - object: str = "text_completion" - created: int = Field(default_factory=lambda: int(time.time())) - model: str - choices: List[CompletionResponseChoice] - usage: UsageInfo - - -class CompletionResponseStreamChoice(BaseModel): - index: int - text: str - logprobs: Optional[CompletionLogProbs] = None - finish_reason: Optional[str] = None - stop_reason: Optional[Union[int, str]] = Field( - default=None, - description=( - "The stop string or token id that caused the completion " - "to stop, None if the completion finished for some other reason " - "including encountering the EOS token" - ), - ) - - -class CompletionStreamResponse(BaseModel): - id: str = Field(default_factory=lambda: f"cmpl-{generate_request_id()}") - object: str = "text_completion" - created: int = Field(default_factory=lambda: int(time.time())) - model: str - choices: List[CompletionResponseStreamChoice] - usage: Optional[UsageInfo] = Field(default=None) - - -class EmbeddingCompletionRequest(BaseModel): - model: Optional[str] = None - input: Union[List[int], List[List[int]], str, List[str]] - encoding_format: Literal["float", "base64"] = "float" - dimensions: Optional[int] = None - user: Optional[str] = None - truncate_prompt_tokens: Optional[Annotated[int, Field(ge=1)]] = None - - additional_data: Optional[Any] = None - add_special_tokens: bool = Field( - default=True, - description=( - "If true (the default), special tokens (e.g. BOS) will be added to " - "the prompt." - ), - ) - priority: int = Field( - default=0, + request_id: str = Field( + default_factory=lambda: f"{random_uuid()}", description=( - "The priority of the request (lower means earlier handling; " - "default: 0). Any priority other than 0 will raise an error " - "if the served model does not use priority scheduling." + "The request_id related to this request. If the caller does " + "not set it, a random_uuid will be generated. This id is used " + "through out the inference process and return in response." ), ) -EmbeddingRequest = EmbeddingCompletionRequest +class EmbeddingChatRequest(vLLMEmbeddingChatRequest): + model_config = ConfigDict(arbitrary_types_allowed=True) -class EmbeddingResponseData(BaseModel): - index: int - object: str = "embedding" - embedding: Union[List[float], str] +class EmbeddingResponse(vLLMEmbeddingResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) -class EmbeddingResponse(BaseModel): - id: str = Field(default_factory=lambda: f"embd-{generate_request_id()}") - object: str = "list" - created: int = Field(default_factory=lambda: int(time.time())) - model: str - data: List[EmbeddingResponseData] - usage: UsageInfo - +EmbeddingRequest = Union[EmbeddingCompletionRequest, EmbeddingChatRequest] LLMEmbeddingsResponse = Union[ AsyncGenerator[Union[EmbeddingResponse, ErrorResponse], None], ] LLMChatResponse = Union[ - AsyncGenerator[ - Union[ChatCompletionStreamResponse, ChatCompletionResponse, ErrorResponse], None - ], + AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None], ] LLMCompletionsResponse = Union[ @@ -731,7 +105,7 @@ class EmbeddingResponse(BaseModel): ], ] - +# TODO: remove this class class OpenAIHTTPException(Exception): def __init__( self, @@ -745,21 +119,36 @@ def __init__( self.type = type self.internal_message = internal_message - @classmethod - def from_model_response(cls, response: LLMRawResponse) -> "OpenAIHTTPException": - return cls( - status_code=response.error.code, - message=response.error.message, - type=response.error.type, - internal_message=response.error.internal_message, - ) + +# TODO: upstream metadata for ModelData +# Compared to vLLM this has a metadata field. +class ModelCard(BaseModel): + model_config = ConfigDict( + protected_namespaces=tuple(), arbitrary_types_allowed=True + ) + + id: str + object: str + owned_by: str + permission: List[str] + metadata: Dict[str, Any] + + @property + def model_type(self) -> str: + return self.metadata["engine_config"]["model_type"] + + +class ModelList(BaseModel): + model_config = ConfigDict(arbitrary_types_allowed=True) + data: List[ModelCard] + object: str = "list" def to_model_metadata( model_id: str, - model_config: LLMConfig, + model_config: "LLMConfig", overrides: Optional[Dict[str, Any]] = None, -): +) -> ModelCard: """Creates an OpenAI-compatible ModelData object. Args: @@ -779,10 +168,10 @@ def to_model_metadata( if overrides: metadata.update(overrides) - return ModelData( + return ModelCard( id=model_id, - rayllm_metadata=metadata, object="model", owned_by="organization-owner", permission=[], + metadata=metadata, ) diff --git a/python/ray/llm/_internal/serve/configs/openai_api_models_patch.py b/python/ray/llm/_internal/serve/configs/openai_api_models_patch.py deleted file mode 100644 index 3bf679c6808a..000000000000 --- a/python/ray/llm/_internal/serve/configs/openai_api_models_patch.py +++ /dev/null @@ -1,148 +0,0 @@ -import json -from abc import ABC, abstractmethod -from typing import ( - TYPE_CHECKING, - Any, - Dict, - Literal, - Optional, - Union, -) - -from pydantic import ( - BaseModel, - ConfigDict, - Field, - model_validator, -) -from typing_extensions import Annotated - -from ray.llm._internal.common.utils.import_utils import try_import - -if TYPE_CHECKING: - from vllm.sampling_params import GuidedDecodingParams - -vllm = try_import("vllm") - - -class ErrorResponse(BaseModel): - message: str - internal_message: str - code: int - type: str - param: Dict[str, Any] = {} - # We use `Any` here since pydantic doesn't have a validator for exceptions. - # This is fine since the field is excluded. - original_exception: Annotated[Optional[Any], Field(exclude=True)] = None - - -class ResponseFormat(BaseModel, ABC): - # make allow extra fields false - model_config = ConfigDict(extra="forbid") - - @abstractmethod - def to_guided_decoding_params( - self, backend: str - ) -> Optional["GuidedDecodingParams"]: - """Convert the response format to a vLLM guided decoding params. - - Args: - backend: The backend to use for the guided decoding. (e.g. "xgrammar", "outlines") - - Returns: - A vLLM guided decoding params object. It can also return None if the response format is not supported. (e.g. "text") - """ - pass - - -class ResponseFormatText(ResponseFormat): - type: Literal["text"] - - def to_guided_decoding_params( - self, backend: str - ) -> Optional["GuidedDecodingParams"]: - return None - - -class JSONSchemaBase(ResponseFormat, ABC): - @property - @abstractmethod - def json_schema_str(self) -> str: - pass - - @abstractmethod - def to_dict(self): - pass - - -class ResponseFormatJsonObject(JSONSchemaBase): - model_config = ConfigDict(populate_by_name=True) - - # Support either keywords because it makes it more robust. - type: Literal["json_object", "json_schema"] - # Can use `schema` or `json_schema` interchangeably. - # `schema` is allowed for backwards compatibility - # (We released docs with `schema` field name) - json_schema: Optional[Union[Dict[str, Any], str]] = Field( - default={}, alias="schema", description="Schema for the JSON response format" - ) - - @model_validator(mode="after") - def read_and_validate_json_schema(self): - from ray.llm._internal.serve.configs.json_mode_utils import JSONSchemaValidator - - # JSONSchemaValidator is a singleton so the initialization cost is - # amortized over all the processes's lifetime. - validator = JSONSchemaValidator() - - # Make sure the json schema is valid and dereferenced. - self.json_schema = validator.try_load_json_schema(self.json_schema) - return self - - @property - def json_schema_str(self) -> str: - return json.dumps(self.json_schema) - - def to_guided_decoding_params( - self, backend: str - ) -> Optional["GuidedDecodingParams"]: - kwargs = {} - - if self.json_schema: - kwargs["json"] = self.json_schema_str - else: - kwargs["json_object"] = True - - return vllm.sampling_params.GuidedDecodingParams.from_optional( - backend=backend, - **kwargs, - ) - - def to_dict(self): - return { - "type": self.type, - "schema": self.json_schema_str, - } - - -# TODO(Kourosh): Grammar has this known issue that if there is a syntax error in the grammar -# The engine will die. We need to fix this from vLLM side. -# For now avoiding documenting this approach in the docs. -class ResponseFormatGrammar(ResponseFormat): - type: Literal["grammar", "grammar_gbnf"] - grammar: str - - def to_guided_decoding_params( - self, backend: str - ) -> Optional["GuidedDecodingParams"]: - return vllm.sampling_params.GuidedDecodingParams.from_optional( - backend=backend, - grammar=self.grammar, - ) - - -ResponseFormatType = Union[ - ResponseFormatText, - ResponseFormatGrammar, - ResponseFormatJsonObject, -] diff --git a/python/ray/llm/_internal/serve/configs/prompt_formats.py b/python/ray/llm/_internal/serve/configs/prompt_formats.py deleted file mode 100644 index fe1bdf47527b..000000000000 --- a/python/ray/llm/_internal/serve/configs/prompt_formats.py +++ /dev/null @@ -1,119 +0,0 @@ -from typing import ( - Any, - Dict, - List, - Literal, - Optional, - Union, -) - -from pydantic import ( - BaseModel, - field_validator, - model_validator, -) - -from ray.llm._internal.common.utils.import_utils import try_import - -transformers = try_import("transformers") - - -class Text(BaseModel): - type: str = "text" - text: str - - -# Ref: https://huggingface.co/mistral-community/pixtral-12b -# -# Community version of pixtral uses the key `content` instead of `text` in the content. -# This is to support the "content" content type in the prompt format, as opposite of -# the "text" content from the above which most other model uses. -class Content(BaseModel): - type: str = "text" - content: str - - -class Image(BaseModel): - type: str = "image_url" - image_url: Dict - - @field_validator("image_url") - @classmethod - def check_image_url(cls, value): - """Checks if the image_url is a dict with a 'url' key. - Example: - image_url = { - "url": "https://example.com/image.png" - } - """ - if "url" not in value or not value["url"] or not isinstance(value["url"], str): - raise ValueError( - # TODO(xwjiang): Link to doc. - "Expecting 'url' string to be provided under 'image_url' dict." - ) - return value - - -ContentList = List[Union[Image, Text, Content]] - - -class Message(BaseModel): - role: Literal["system", "assistant", "user"] - content: Optional[Union[str, ContentList]] = None - - def __str__(self): - return self.model_dump_json() - - @model_validator(mode="after") - def check_fields(self): - if self.role == "system": - if not isinstance(self.content, str): - raise ValueError("System content must be a string") - if self.role == "user" and self.content is None: - raise ValueError("User content must not be None.") - if self.role == "assistant": - # passing a regular assistant message - if self.content is not None and not isinstance(self.content, str): - raise ValueError("content must be a string or None") - return self - - -class Prompt(BaseModel): - prompt: Union[str, List[Message]] - use_prompt_format: bool = True - parameters: Optional[Dict[str, Any]] = None - - @field_validator("parameters", mode="before") - @classmethod - def parse_parameters(cls, value): - if isinstance(value, BaseModel): - # Use exclude_unset so that we can distinguish unset values from default values - return value.model_dump(exclude_unset=True) - return value - - @field_validator("prompt") - @classmethod - def check_prompt(cls, value): - if isinstance(value, list) and not value: - raise ValueError("Messages cannot be an empty list.") - return value - - def to_unformatted_string(self) -> str: - if isinstance(self.prompt, list): - return ", ".join(str(message.content) for message in self.prompt) - return self.prompt - - -class ImageInput(BaseModel): - """Prompt output that contains image info.""" - - image_url: str - - -class EngineInput(BaseModel): - """Input to the engine. - - Which is also output from `PromptFormat.generate_prompt()`.""" - - text: str - image: Optional[List[ImageInput]] = None diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 8745ac1578f5..722f61d3f497 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -1,5 +1,4 @@ import os -import time from enum import Enum from typing import ( Any, @@ -7,9 +6,6 @@ List, Optional, Sequence, - Set, - Tuple, - Type, TypeVar, Union, ) @@ -22,7 +18,6 @@ PositiveInt, PrivateAttr, field_validator, - model_validator, ) import ray @@ -37,17 +32,8 @@ DEFAULT_MULTIPLEX_DOWNLOAD_TIMEOUT_S, DEFAULT_MULTIPLEX_DOWNLOAD_TRIES, ENABLE_WORKER_PROCESS_SETUP_HOOK, - MAX_NUM_STOPPING_SEQUENCES, MODEL_RESPONSE_BATCH_TIMEOUT_MS, ) -from ray.llm._internal.serve.configs.error_handling import TooManyStoppingSequences -from ray.llm._internal.serve.configs.openai_api_models_patch import ( - ErrorResponse, - ResponseFormatType, -) -from ray.llm._internal.serve.configs.prompt_formats import ( - Prompt, -) from ray.llm._internal.serve.observability.logging import get_logger from ray.serve._private.config import DeploymentConfig @@ -86,16 +72,6 @@ class LLMEngine(str, Enum): vLLM = "vLLM" -class JSONModeOptions(BaseModelExtended): - num_processes: int = Field( - default=8, - description="The number of background processes for each replica.", - ) - recreate_failed_actors: bool = Field( - default=True, description="Whether to restart failed JSON mode actors." - ) - - class LoraConfig(BaseModelExtended): dynamic_lora_loading_path: Optional[str] = Field( default=None, @@ -572,56 +548,6 @@ def parse_args(self) -> "LLMServingArgs": return LLMServingArgs(llm_configs=llm_configs) -TModel = TypeVar("TModel", bound="Model") - - -class ModelData(BaseModel): - model_config = ConfigDict(protected_namespaces=tuple()) - - id: str - object: str - owned_by: str - permission: List[str] - rayllm_metadata: Dict[str, Any] - - @property - def model_type(self) -> str: - return self.rayllm_metadata["engine_config"]["model_type"] - - -class Model(BaseModel): - data: List[ModelData] - object: str = "list" - - @classmethod - def list(cls) -> TModel: - pass - - -class FinishReason(str, Enum): - LENGTH = "length" - STOP = "stop" - ERROR = "error" - CANCELLED = "cancelled" - - def __str__(self) -> str: - return self.value - - @classmethod - def from_vllm_finish_reason( - cls, finish_reason: Optional[str] - ) -> Optional["FinishReason"]: - if finish_reason is None: - return None - if finish_reason == "stop": - return cls.STOP - if finish_reason == "length": - return cls.LENGTH - if finish_reason == "abort": - return cls.CANCELLED - return cls.STOP - - class DiskMultiplexConfig(BaseModelExtended): model_id: str max_total_tokens: Optional[int] @@ -629,337 +555,3 @@ class DiskMultiplexConfig(BaseModelExtended): # this is a per process id assigned to the model lora_assigned_int_id: int - - -class ComputedPropertyMixin: - """ - Include properties in the dict and json representations of the model. - """ - - # Replace with pydantic.computed_field once it's available - @classmethod - def get_properties(cls): - return [prop for prop in dir(cls) if isinstance(getattr(cls, prop), property)] - - def model_dump(self, *args, **kwargs): - self.__dict__.update( - {prop: getattr(self, prop) for prop in self.get_properties()} - ) - return super().model_dump(*args, **kwargs) # type: ignore - - def model_dump_json( - self, - *args, - **kwargs, - ) -> str: - self.__dict__.update( - {prop: getattr(self, prop) for prop in self.get_properties()} - ) - - return super().model_dump_json(*args, **kwargs) # type: ignore - - -class LogProb(BaseModel): - logprob: float - token: str - bytes: List[int] - - -class LogProbs(BaseModel): - token: str - logprob: float - bytes: List[int] - top_logprobs: List[LogProb] - - @classmethod - def create(cls, logprobs: List[LogProb], top_logprobs: Optional[int] = None): - assert len(logprobs) > 0, "logprobs must be a non-empty list" - token = logprobs[0].token - logprob = logprobs[0].logprob - bytes = logprobs[0].bytes - all_logprobs = logprobs if top_logprobs else [] - ret = cls(token=token, logprob=logprob, bytes=bytes, top_logprobs=all_logprobs) - return ret - - -class LLMRawResponse(ComputedPropertyMixin, BaseModelExtended): - """The response from a query to a RayLLM Model. - - Args: - generated_text: The generated text. - logprobs: Log probabilities of each token and possibly some of the unchosen tokens. - num_input_tokens: The number of input tokens. - num_generated_tokens: The number of generated tokens. - num_input_tokens_batch: The number of input tokens in the batch. - num_generated_tokens_batch: The number of generated tokens in the batch. - preprocessing_time: The time spent preprocessing the request. - generation_time: The time spent generating the response. - timestamp: The timestamp of the response. - finish_reason: The reason the generation finished. - error: The error, if any. - metadata: The metadata for internal usage. - """ - - generated_text: Optional[str] = None - logprobs: Optional[List[LogProbs]] = None - num_input_tokens: Optional[int] = None - num_input_tokens_batch: Optional[int] = None - num_generated_tokens: Optional[int] = None - num_generated_tokens_batch: Optional[int] = None - preprocessing_time: Optional[float] = None - generation_time: Optional[float] = None - timestamp: Optional[float] = Field(default_factory=time.time) - finish_reason: Optional[str] = None - error: Optional[ErrorResponse] = None - metadata: Optional[Dict[str, Any]] = None - - @model_validator(mode="before") - @classmethod - def text_or_error_or_finish_reason(cls, values): - if ( - values.get("generated_text") is None - and values.get("error") is None - and values.get("finish_reason") is None - ): - raise ValueError( - "'generated_text', 'error', or 'finish_reason' must be set." - ) - return values - - @classmethod - def merge_stream(cls, *responses: "LLMRawResponse") -> "LLMRawResponse": - """ - Merge a stream of responses into a single response. - - The generated text is concatenated. Fields are maxed, except for - num_generated_tokens and generation_time, which are summed. - """ - if len(responses) == 1: - return responses[0] - - generated_text = ( - None - if responses[0].generated_text is None - else "".join([response.generated_text or "" for response in responses]) - ) - num_input_tokens = [ - response.num_input_tokens - for response in responses - if response.num_input_tokens is not None - ] - max_num_input_tokens = max(num_input_tokens) if num_input_tokens else None - num_input_tokens_batch = [ - response.num_input_tokens_batch - for response in responses - if response.num_input_tokens_batch is not None - ] - max_num_input_tokens_batch = ( - max(num_input_tokens_batch) if num_input_tokens_batch else None - ) - num_generated_tokens = [ - response.num_generated_tokens - for response in responses - if response.num_generated_tokens is not None - ] - total_generated_tokens = ( - sum(num_generated_tokens) if num_generated_tokens else None - ) - num_generated_tokens_batch = [ - response.num_generated_tokens_batch - for response in responses - if response.num_generated_tokens_batch is not None - ] - total_generated_tokens_batch = ( - sum(num_generated_tokens_batch) if num_generated_tokens_batch else None - ) - preprocessing_time = [ - response.preprocessing_time - for response in responses - if response.preprocessing_time is not None - ] - max_preprocessing_time = max(preprocessing_time) if preprocessing_time else None - generation_time = [ - response.generation_time - for response in responses - if response.generation_time is not None - ] - total_generation_time = sum(generation_time) if generation_time else None - error = next( - (response.error for response in reversed(responses) if response.error), None - ) - logprobs = [] - for response in responses: - if response.logprobs: - logprobs.extend(response.logprobs) - - return cls( - generated_text=generated_text, - logprobs=logprobs, - num_input_tokens=max_num_input_tokens, - num_input_tokens_batch=max_num_input_tokens_batch, - num_generated_tokens=total_generated_tokens, - num_generated_tokens_batch=total_generated_tokens_batch, - preprocessing_time=max_preprocessing_time, - generation_time=total_generation_time, - timestamp=responses[-1].timestamp, - finish_reason=responses[-1].finish_reason, - error=error, - metadata=responses[-1].metadata, - ) - - @property - def total_time(self) -> Optional[float]: - if self.generation_time is None and self.preprocessing_time is None: - return None - return (self.preprocessing_time or 0) + (self.generation_time or 0) - - @property - def num_total_tokens(self) -> Optional[float]: - try: - return (self.num_input_tokens or 0) + (self.num_generated_tokens or 0) - except Exception: - return None - - @property - def num_total_tokens_batch(self) -> Optional[float]: - try: - return (self.num_input_tokens_batch or 0) + ( - self.num_generated_tokens_batch or 0 - ) - except Exception: - return None - - def unpack(self) -> Tuple["LLMRawResponse", ...]: - return (self,) - - -class BatchedLLMRawResponse(LLMRawResponse): - # Same as LLMRawResponse, but persists the individual responses - # that were batched together to produce this response. - - _individual_responses: Optional[List[LLMRawResponse]] = PrivateAttr(None) - - @classmethod - def merge_stream(cls, *responses: LLMRawResponse) -> LLMRawResponse: - if len(responses) == 1: - return responses[0] - obj = super().merge_stream(*responses) - obj._individual_responses = list(responses) # type: ignore - return obj - - def unpack(self) -> Tuple[LLMRawResponse]: - return tuple(self._individual_responses or []) - - -def merge_dicts(base: Dict, overwrite: Dict) -> Dict: - """ - Merge overwrite into base. Modify base inplace. - """ - - for key in overwrite: - if ( - key in base - and isinstance(base[key], dict) - and isinstance(overwrite[key], dict) - ): - merge_dicts(base[key], overwrite[key]) - else: - base[key] = overwrite[key] - return base - - -class SamplingParams(BaseModelExtended): - """Parameters for controlling text generation sampling. - - Args: - max_tokens: The maximum number of tokens to generate. Defaults to inf. - temperature: What sampling temperature to use. - top_p: An alternative to sampling with temperature, called nucleus sampling. - n: How many completions to generate for each prompt. - logprobs: Include the log probabilities on the `logprobs` most likely - tokens, as well the chosen tokens. - top_logprobs: The number of logprobs to return. Defaults to 1. `logprobs` - must be set to `True` in order to use top_logprobs. - stop: Up to 4 sequences where the API will stop generating further tokens. - The returned text will not contain the stop sequence. - stop_tokens: Tokens to stop on (applied before detokenization). - presence_penalty: Number between -2.0 and 2.0. - Positive values penalize new tokens based on whether they appear in - the text so far, increasing the model's likelihood to talk about - new topics. - frequency_penalty: Number between -2.0 and 2.0. Positive values penalize - new tokens based on their existing frequency in the text so far, - decreasing the model's likelihood to repeat the same line verbatim. - best_of: Generates `best_of` completions server-side and returns the "best". - logit_bias: Modify the likelihood of specified tokens appearing in - the completion. - response_format: Format to return the final response in. Can be for ex: - response_format={"type": "json", "schema": "{...}"} - """ - - _ignored_fields: Set[str] = set() - - max_tokens: Optional[int] = None - temperature: Optional[float] = None - top_p: Optional[float] = None - n: int = 1 - logprobs: Optional[bool] = None - top_logprobs: Optional[int] = None - logit_bias: Optional[Dict[str, float]] = None - stop: Optional[List[str]] = None - stop_tokens: Optional[List[int]] = None - ignore_eos: Optional[bool] = None - presence_penalty: Optional[float] = None - frequency_penalty: Optional[float] = None - best_of: int = 1 - response_format: Optional[ResponseFormatType] = None - - def model_dump(self, **kwargs) -> Dict[str, Any]: - if kwargs.get("exclude", None) is None: - kwargs["exclude"] = self._ignored_fields - return super().model_dump(**kwargs) - - @field_validator("stop", mode="before") - @classmethod - def validate_stopping_sequences(cls, values): - if not values: - return values - - unique_val = sorted(set(values)) - - if len(unique_val) > MAX_NUM_STOPPING_SEQUENCES: - TooManyStoppingSequences( - len(unique_val), MAX_NUM_STOPPING_SEQUENCES - ).raise_exception() - - return list(unique_val) - - @field_validator("stop_tokens", mode="before") - @classmethod - def validate_stop_tokens(cls, values): - if not values: - return values - return sorted(set(values)) - - @classmethod - def _get_model_validate_kwargs(cls: Type[ModelT], prompt: Prompt) -> Dict[str, Any]: - generate_kwargs = prompt.parameters or {} - if not isinstance(generate_kwargs, dict): - generate_kwargs = generate_kwargs.model_dump(exclude_unset=True) - - return generate_kwargs - - @classmethod - def from_prompt(cls: Type[ModelT], prompt: Prompt) -> ModelT: - # Extract parameters object from prompt - generate_kwargs = cls._get_model_validate_kwargs(prompt) - return cls.model_validate(generate_kwargs) - - -class GenerationRequest(BaseModelExtended): - prompt: Union[str, List[int], List[str]] - prompt_token_ids: Optional[List[int]] = None - request_id: Union[str, List[str]] - sampling_params: Optional[Union[SamplingParams, List[SamplingParams]]] = None - stream: bool = False - metadata: Optional[Dict[str, Any]] = None diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py index cd32c4640005..ea20ab3d18d3 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py @@ -1,17 +1,25 @@ import abc -from typing import AsyncGenerator, Optional +from typing import TYPE_CHECKING, AsyncGenerator, Union from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, - GenerationRequest, LLMConfig, - LLMRawResponse, - Prompt, ) +if TYPE_CHECKING: + from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + ChatCompletionResponse, + CompletionRequest, + CompletionResponse, + EmbeddingRequest, + EmbeddingResponse, + ErrorResponse, + ) + class LLMEngine(abc.ABC): - """Base class for all LLM engines""" + """Base protocol class for all LLM engines.""" @abc.abstractmethod def __init__(self, llm_config: LLMConfig): @@ -24,27 +32,93 @@ async def start(self): pass @abc.abstractmethod - async def prepare_request( - self, - request_id: str, - prompt: Prompt, - stream: bool, - disk_lora_model: Optional[DiskMultiplexConfig] = None, - **kwargs, - ) -> GenerationRequest: - """Prepare a GenerationRequest for the engine""" + async def resolve_lora(self, lora_model: DiskMultiplexConfig): + """Mounts the LoRA model on the engine, given the local disk path.""" + pass + + @abc.abstractmethod + async def chat( + self, request: "ChatCompletionRequest" + ) -> AsyncGenerator[Union[str, "ChatCompletionResponse", "ErrorResponse"], None]: + """Run a ChatCompletion with the engine. + + To implement this method, you need to take a openAI compatible chat request, internally cast it to the target engine request type, and then call the engine's chat method. + + This method is an async generator, so it yields chunks of response and when it is done, it returns None. We have the following convention: + + - In case of streaming, yield a string representing data: \n\n for each chunk. This should be already openAI compatible, so the higher level can just yield it to the client. + - In case of non-streaming, yield a single object of type ChatCompletionResponse. + - In case of error, yield a single object of type ErrorResponse. + + Args: + request: The chat completion request. + + Yields: + Union[str, ChatCompletionResponse, ErrorResponse]: A string representing a chunk of the response, a ChatCompletionResponse object, or an ErrorResponse object. + + Returns: + None when the generator is done. + """ + pass + + @abc.abstractmethod + async def completions( + self, request: "CompletionRequest" + ) -> AsyncGenerator[Union[str, "CompletionResponse", "ErrorResponse"], None]: + """Run a Completion with the engine. + + Similar to chat, this method is an async generator, so it yields chunks + of response and when it is done, it returns None. We have the following + convention: + + * In case of streaming, yield a string representing data: + \n\n for each chunk. This should be already openAI compatible + with completion response format, so the higher level can just yield it + directly to the client. + * In case of non-streaming, yield a single object of type + CompletionResponse. + * In case of error, yield a single object of type ErrorResponse. + + Args: + request: The completion request. + + Yields: + Union[str, CompletionResponse, ErrorResponse]: A string + representing a chunk of the response, a CompletionResponse object, + or an ErrorResponse object. + + Returns: + None when the generator is done. + """ pass @abc.abstractmethod - async def generate( - self, request: GenerationRequest - ) -> AsyncGenerator[LLMRawResponse, None]: - """Generate an LLMRawResponse stream based on the GenerationRequest""" + async def embeddings( + self, request: "EmbeddingRequest" + ) -> AsyncGenerator[Union["EmbeddingResponse", "ErrorResponse"], None]: + """Run an Embedding with the engine. + + This method is different from chat and completion in that it does not + have streaming, but still it is an async generator that yields response + objects and when it is done, it returns None. We have the following + convention: + + * yield a single object of type EmbeddingResponse. + * For errors, yield a single object of type ErrorResponse. + + Args: + request: The embedding request. + + Returns: + An async generator that yields EmbeddingResponse objects or ErrorResponse objects, and returns None when the generator is done. + """ pass async def check_health(self) -> None: - """Check the health of the replica. Does not return anything. Raise error when - the engine is dead and needs to be restarted. + """Check the health of the engine. + + Does not return anything. Raise error when the engine is dead and needs + to be restarted. """ return diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 0467a0e6b075..4098464e0162 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -1,13 +1,20 @@ import asyncio import os from abc import ABC, abstractmethod -from typing import Any, AsyncGenerator, Dict, Optional, Type, Union +from typing import ( + TYPE_CHECKING, + Any, + AsyncGenerator, + Dict, + List, + Optional, + Type, + TypeVar, + Union, +) -# Third-party imports from ray import serve from ray._common.utils import import_attr - -# Local imports from ray.llm._internal.serve.configs.constants import ( DEFAULT_HEALTH_CHECK_PERIOD_S, DEFAULT_HEALTH_CHECK_TIMEOUT_S, @@ -15,51 +22,17 @@ MODEL_RESPONSE_BATCH_TIMEOUT_MS, RAYLLM_VLLM_ENGINE_CLS_ENV, ) -from ray.llm._internal.serve.configs.openai_api_models import ( - ChatCompletionLogProb, - ChatCompletionLogProbs, - ChatCompletionLogProbsContent, - ChatCompletionRequest, - ChatCompletionResponse, - ChatCompletionResponseChoice, - ChatCompletionResponseStreamChoice, - ChatCompletionStreamResponse, - ChatMessage, - CompletionRequest, - CompletionResponse, - CompletionResponseChoice, - CompletionResponseStreamChoice, - CompletionStreamResponse, - DeltaMessage, - EmbeddingRequest, - EmbeddingResponse, - EmbeddingResponseData, - LLMChatResponse, - LLMCompletionsResponse, - LLMEmbeddingsResponse, - UsageInfo, -) -from ray.llm._internal.serve.configs.prompt_formats import Message, Prompt from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, LLMConfig, - LLMRawResponse, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( LoraModelLoader, ) from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine -from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - VLLMEmbeddingRequest, -) -from ray.llm._internal.serve.deployments.utils.batcher import OpenAIResponseBatcher -from ray.llm._internal.serve.deployments.utils.error_handling_utils import ( - StreamingErrorHandler, -) +from ray.llm._internal.serve.deployments.utils.batcher import Batcher from ray.llm._internal.serve.deployments.utils.server_utils import ( - get_model_request_id, - get_response_for_error, get_serve_request_id, ) from ray.llm._internal.serve.observability.logging import get_logger @@ -67,7 +40,19 @@ push_telemetry_report_for_all_models, ) +if TYPE_CHECKING: + from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + ChatCompletionResponse, + CompletionRequest, + CompletionResponse, + EmbeddingRequest, + EmbeddingResponse, + ErrorResponse, + ) + logger = get_logger(__name__) +T = TypeVar("T") class _LLMServerBase(ABC): @@ -81,337 +66,46 @@ async def __init__(self): """ Constructor takes in an LLMConfig object and start the underlying engine. """ - pass @abstractmethod - async def chat(self, request: ChatCompletionRequest) -> LLMChatResponse: + async def chat( + self, request: "ChatCompletionRequest" + ) -> AsyncGenerator[Union[str, "ChatCompletionResponse", "ErrorResponse"], None]: """ - Inferencing to the engine for chat, and return the response as LLMChatResponse. + Inferencing to the engine for chat, and return the response. """ ... @abstractmethod - async def completions(self, request: CompletionRequest) -> LLMCompletionsResponse: + async def completions( + self, request: "CompletionRequest" + ) -> AsyncGenerator[ + Union[List[Union[str, "ErrorResponse"]], "CompletionResponse"], None + ]: """ - Inferencing to the engine for completion api, and return the response as LLMCompletionsResponse. + Inferencing to the engine for completion api, and return the response. """ ... @abstractmethod async def check_health(self) -> None: """ - Check the health of the replica. Does not return anything. Raise error when - the engine is dead and needs to be restarted. + Check the health of the replica. Does not return anything. + Raise error when the engine is dead and needs to be restarted. """ ... - @abstractmethod + # TODO (Kourosh): This does not belong here. async def llm_config(self) -> Optional[LLMConfig]: - """Return the LLMConfig for the model.""" - - -class ResponsePostprocessor: - """Processes raw LLM responses into OpenAI-compatible formats. - - This class handles: - 1. Error handling for the response stream - 2. Converting LLMRawResponse to Chat/Completion API formats - 3. Supporting both streaming and non-streaming responses - """ - - def __init__(self): - self.metrics_wrapper = StreamingErrorHandler() - - async def handle_failure( - self, model: str, gen: AsyncGenerator[LLMRawResponse, None] - ) -> AsyncGenerator[LLMRawResponse, None]: - async for llm_response in self.metrics_wrapper.handle_failure(model, gen): - yield llm_response - - @staticmethod - async def merge_stream( - response_stream: AsyncGenerator[LLMRawResponse, None] - ) -> LLMRawResponse: - responses = [resp async for resp in response_stream] - return LLMRawResponse.merge_stream(*responses) - - async def process_chat( - self, model: str, gen: AsyncGenerator[LLMRawResponse, None], stream: bool - ) -> LLMChatResponse: - """Process raw LLM responses into chat completion format.""" - gen = self.handle_failure(model=model, gen=gen) - request_id = get_serve_request_id() - completion_id = get_model_request_id(model) - - if stream: - # Stream processing - preserve batching from generator - yielded_role = False - all_results = [] - try: - async for batched_results in gen: - - for result in batched_results.unpack(): - all_results.append(result) - - # Handle errors - if result.error: - logger.error(f"{result.error}") - # Drop finish reason as OpenAI doesn't expect it for errors - result.finish_reason = None - all_results.pop() - yield result.error - return - - finish_reason = result.finish_reason - - # Send role message first - if not yielded_role: - yield ChatCompletionStreamResponse( - id=completion_id, - model=model, - choices=[ - ChatCompletionResponseStreamChoice( - delta=DeltaMessage(role="assistant"), - index=0, - finish_reason=None, - logprobs=ChatCompletionLogProbs(content=[]), - ) - ], - usage=None, - ) - yielded_role = True - - # Process logprobs if present - logprobs = None - if result.logprobs: - logprobs = ChatCompletionLogProbs( - content=[ - ChatCompletionLogProbsContent( - token=logprobs.token, - logprob=logprobs.logprob, - bytes=logprobs.bytes, - top_logprobs=[ - ChatCompletionLogProb( - token=logprob.token, - logprob=logprob.logprob, - bytes=logprob.bytes, - ) - for logprob in logprobs.top_logprobs - ], - ) - for logprobs in result.logprobs - ] - ) - - yield ChatCompletionStreamResponse( - id=completion_id, - model=model, - choices=[ - ChatCompletionResponseStreamChoice( - delta=DeltaMessage( - content=result.generated_text or "" - ), - index=0, - finish_reason=None, - logprobs=logprobs, - ) - ], - usage=None, - ) - - # Send final message with finish_reason if there were any results - # TODO (Kourosh): Doing this much for the last token - # (usage token) might add extra overhead to ITL of the last token. - # We should find a better way to do this. - if all_results: - merged_results = LLMRawResponse.merge_stream(*all_results) - finish_reason = merged_results.finish_reason - usage = UsageInfo( - prompt_tokens=merged_results.num_input_tokens or 0, - completion_tokens=merged_results.num_generated_tokens or 0, - total_tokens=(merged_results.num_input_tokens or 0) - + (merged_results.num_generated_tokens or 0), - ) - - yield ChatCompletionStreamResponse( - id=completion_id, - model=model, - choices=[ - ChatCompletionResponseStreamChoice( - delta=DeltaMessage(), - index=0, - finish_reason=finish_reason, - ) - ], - usage=usage, - ) - except Exception as e: - logger.error( - f"Failed while handling chat-completions for request ({request_id}): {repr(e)}", - exc_info=e, - ) - yield get_response_for_error(e, request_id).error - else: - # Non-streaming processing - merge and return a single response - try: - results: LLMRawResponse = await self.merge_stream(gen) - if results.error: - yield results.error - return - - logprobs = None - if results.logprobs: - logprobs = ChatCompletionLogProbs( - content=[ - ChatCompletionLogProbsContent( - token=logprobs.token, - logprob=logprobs.logprob, - bytes=logprobs.bytes, - top_logprobs=[ - ChatCompletionLogProb( - token=logprob.token, - logprob=logprob.logprob, - bytes=logprob.bytes, - ) - for logprob in logprobs.top_logprobs - ], - ) - for logprobs in results.logprobs - ] - ) - - yield ChatCompletionResponse( - id=completion_id, - model=model, - choices=[ - ChatCompletionResponseChoice( - message=ChatMessage( - role="assistant", - content=results.generated_text or "", - ), - index=0, - finish_reason=results.finish_reason, - logprobs=logprobs, - ) - ], - usage=UsageInfo( - prompt_tokens=results.num_input_tokens or 0, - completion_tokens=results.num_generated_tokens or 0, - total_tokens=(results.num_input_tokens or 0) - + (results.num_generated_tokens or 0), - ), - ) - except Exception as e: - logger.error( - f"Failed while handling chat-completions for request ({request_id}): {repr(e)}", - exc_info=e, - ) - yield get_response_for_error(e, request_id).error - - async def process_completions( - self, model: str, gen: AsyncGenerator[LLMRawResponse, None], stream: bool - ) -> LLMCompletionsResponse: - """Process raw LLM responses into completions format.""" - gen = self.handle_failure(model=model, gen=gen) - request_id = get_serve_request_id() - completion_id = get_model_request_id(model) - - if stream: - # Stream processing - preserve batching from generator - all_results = [] - try: - async for batched_results in gen: - - for result in batched_results.unpack(): - all_results.append(result) - - # Handle errors - if result.error: - # Drop finish reason as OpenAI doesn't expect it for errors - result.finish_reason = None - logger.error( - f"Reporting back an error: {result.error}", - extra={ - "ray_serve_extra_fields": {"response": str(result)} - }, - ) - all_results.pop() - yield result.error - return - - # Calculate usage if finished - usage = None - if result.finish_reason: - merged_results = LLMRawResponse.merge_stream(*all_results) - usage = UsageInfo( - prompt_tokens=merged_results.num_input_tokens or 0, - completion_tokens=merged_results.num_generated_tokens - or 0, - total_tokens=(merged_results.num_input_tokens or 0) - + (merged_results.num_generated_tokens or 0), - ) - - chunk = CompletionStreamResponse( - id=completion_id, - model=model, - choices=[ - CompletionResponseStreamChoice( - text=result.generated_text or "", - index=0, - logprobs={}, - finish_reason=result.finish_reason, - ) - ], - usage=usage, - ) - - yield chunk - - except Exception as e: - logger.error( - f"Failed while handling completions for request ({request_id}): {repr(e)}", - exc_info=e, - ) - yield get_response_for_error(e, request_id).error - else: - # Non-streaming processing - merge and return a single response - try: - results: LLMRawResponse = await self.merge_stream(gen) - if results.error: - yield results.error - return - - yield CompletionResponse( - id=completion_id, - model=model, - choices=[ - CompletionResponseChoice( - text=results.generated_text or "", - index=0, - logprobs={}, - finish_reason=results.finish_reason, - ) - ], - usage=UsageInfo( - prompt_tokens=results.num_input_tokens or 0, - completion_tokens=results.num_generated_tokens or 0, - total_tokens=(results.num_input_tokens or 0) - + (results.num_generated_tokens or 0), - ), - ) - except Exception as e: - logger.error( - f"Failed while handling completions for request ({request_id}): {repr(e)}", - exc_info=e, - ) - yield get_response_for_error(e, request_id).error + return None class LLMServer(_LLMServerBase): - """This is an abstraction layer to decouple the LLM engine from the ingress + """This is a shim layer to decouple the LLM engine from the ingress deployment. - It has a very similar API as the engine. Almost all of the abstractions are implemented by the engine. This class just a little bit more logic on top: + It has a very similar API as the engine. Almost all of the abstractions are + implemented by the engine. This class just a little bit more logic on top: 1. Logic for serve multiplexing (e.g. LoRA loading). 2. Request id handing from serve context. @@ -450,7 +144,6 @@ async def __init__( await asyncio.wait_for(self._start_engine(), timeout=ENGINE_START_TIMEOUT_S) self._init_multiplex_loader(model_downloader) - self.response_postprocessor = ResponsePostprocessor() def _init_multiplex_loader( self, model_downloader_cls: Optional[Type[LoraModelLoader]] = None @@ -501,31 +194,6 @@ async def _start_engine(self): # Push telemetry reports for the model in the current deployment. push_telemetry_report_for_all_models(all_models=[self._llm_config]) - async def _predict( - self, - request_id: str, - prompt: Prompt, - stream: bool, - ) -> AsyncGenerator[LLMRawResponse, None]: - """A thin wrapper around VLLMEngine.generate(). - - 1. Load the model to disk - 2. Format parameters correctly - 3. Forward request to VLLMEngine.generate() - """ - - disk_lora_model = await self._maybe_resolve_lora_from_multiplex() - - llm_request = await self.engine.prepare_request( - request_id=request_id, - prompt=prompt, - stream=stream, - disk_lora_model=disk_lora_model, - ) - - async for llm_response in self.engine.generate(llm_request): - yield llm_response - def _get_batch_interval_ms(self, stream: bool = True) -> int: """Calculate the batching interval for responses.""" stream_batching_interval_ms = self._llm_config.experimental_configs.get( @@ -535,91 +203,117 @@ def _get_batch_interval_ms(self, stream: bool = True) -> int: stream_batching_interval_ms = MODEL_RESPONSE_BATCH_TIMEOUT_MS return stream_batching_interval_ms if stream else None - async def _maybe_resolve_lora_from_multiplex(self) -> Optional[DiskMultiplexConfig]: + async def _maybe_add_request_id_to_request( + self, + request: Union[ + "ChatCompletionRequest", "CompletionRequest", "EmbeddingRequest" + ], + ): + """Add the request id to the request.""" + request_id = get_serve_request_id() + if request_id: + request.request_id = request_id + + async def _maybe_resolve_lora_from_multiplex(self) -> None: """Handle the lora model for the request.""" multiplexed_model_id = serve.get_multiplexed_model_id() if multiplexed_model_id: if self._llm_config.lora_config is None: raise ValueError("Must setup lora config for multiplexed requests.") disk_lora_model = await self._load_model(multiplexed_model_id) - return disk_lora_model + await self.engine.resolve_lora(disk_lora_model) - def _batch_output_stream(self, generator): - return OpenAIResponseBatcher( + def _batch_output_stream( + self, generator: AsyncGenerator[T, None] + ) -> AsyncGenerator[List[T], None]: + return Batcher( generator, interval_ms=self._get_batch_interval_ms(), ).stream() - def _process_llm_request( - self, request: Union[ChatCompletionRequest, CompletionRequest], is_chat: bool - ) -> Union[LLMChatResponse, LLMCompletionsResponse]: - """Common processing pipeline for both chat and completions APIs. + async def _run_request( + self, + request: Union[ + "ChatCompletionRequest", "CompletionRequest", "EmbeddingRequest" + ], + *, + engine_method: str, + batch_output_stream: bool = False, + ) -> AsyncGenerator[Any, None]: + """Run the engine method on the request + perform batching when stream=True. Args: - request: Either a ChatCompletionRequest or CompletionRequest object - is_chat: Whether this is a chat request (True) or completions request (False) + request: The request to run. + engine_method: The method to call on the engine. + batch_output_stream: Whether to batch the output stream. Returns: - A generator of response objects (either chat completion or text completion) + An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the non-streaming response from engine directly. """ + await self._maybe_add_request_id_to_request(request) + await self._maybe_resolve_lora_from_multiplex() - request_id = get_serve_request_id() - - # 1. Construct the appropriate prompt based on request type - if is_chat: - prompt = Prompt( - prompt=[ - Message.model_validate(message) for message in request.messages - ], - parameters=request, + is_stream = hasattr(request, "stream") and request.stream + if is_stream and batch_output_stream: + stream = self._batch_output_stream( + getattr(self.engine, engine_method)(request) ) else: - prompt = Prompt( - prompt=request.prompt, - parameters=request, - use_prompt_format=False, - ) - - # 2. Predict using the engine - gen = self._predict(request_id=request_id, prompt=prompt, stream=request.stream) - - # 3. Convert raw LLM responses to OpenAI format - processor_method = ( - self.response_postprocessor.process_chat - if is_chat - else self.response_postprocessor.process_completions - ) - openai_resp_generator = processor_method( - model=self._llm_config.model_id, gen=gen, stream=request.stream - ) + stream = getattr(self.engine, engine_method)(request) - if request.stream: - # 4. Apply batching with appropriate interval in case of streaming - return self._batch_output_stream(openai_resp_generator) + return stream - return openai_resp_generator - - async def chat(self, request: ChatCompletionRequest) -> LLMChatResponse: + async def chat( + self, request: "ChatCompletionRequest" + ) -> AsyncGenerator[ + Union[List[Union[str, "ErrorResponse"]], "ChatCompletionResponse"], None + ]: """Runs a chat request to the LLM engine and returns the response. Args: request: A ChatCompletionRequest object. Returns: - A LLMChatResponse object. + An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of chat streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the ChatCompletionResponse object directly. """ - return self._process_llm_request(request, is_chat=True) + return await self._run_request( + request, engine_method="chat", batch_output_stream=True + ) - async def completions(self, request: CompletionRequest) -> LLMCompletionsResponse: + async def completions( + self, request: "CompletionRequest" + ) -> AsyncGenerator[ + Union[List[Union[str, "ErrorResponse"]], "CompletionResponse"], None + ]: """Runs a completion request to the LLM engine and returns the response. Args: request: A CompletionRequest object. Returns: - A LLMCompletionsResponse object. + An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of completion streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the CompletionResponse object directly. + """ + return await self._run_request( + request, engine_method="completions", batch_output_stream=True + ) + + async def embeddings( + self, request: "EmbeddingRequest" + ) -> AsyncGenerator[Union[List["ErrorResponse"], "EmbeddingResponse"], None]: + """Runs an embeddings request to the engine and returns the response. + + Returns an AsyncGenerator over the EmbeddingResponse object. This is so that the caller can have a consistent interface across all the methods of chat, completions, and embeddings. + + Args: + request: An EmbeddingRequest object. + + Returns: + An AsyncGenerator over the EmbeddingResponse object. """ - return self._process_llm_request(request, is_chat=False) + # NOTE: Embeddings does not need batching. + return await self._run_request( + request, engine_method="embeddings", batch_output_stream=False + ) async def check_health(self) -> None: """ @@ -634,47 +328,6 @@ async def check_health(self) -> None: logger.error("Engine health check failed in LLMServer.check_health: %s", e) raise e - async def embeddings(self, request: EmbeddingRequest) -> LLMEmbeddingsResponse: - """Runs an embeddings request to the vllm engine, and return the response. - - Args: - request: An EmbeddingRequest object. - - Returns: - A LLMEmbeddingsResponse object. - """ - request_id = get_serve_request_id() - try: - disk_lora_model = await self._maybe_resolve_lora_from_multiplex() - - request_params = { - "request_id": request_id, - "prompt": request.input, - "encoding_format": request.encoding_format, - "disk_multiplex_config": disk_lora_model, - "serve_request_context": serve.context._serve_request_context.get(), - } - vllm_request = VLLMEmbeddingRequest(**request_params) - embedding_data, total_tokens = await self.engine.embed(vllm_request) - - data = [ - EmbeddingResponseData( - object="embedding", index=index, embedding=embedding - ) - for index, embedding in enumerate(embedding_data) - ] - - usage = UsageInfo(prompt_tokens=total_tokens, total_tokens=total_tokens) - - yield EmbeddingResponse( - model=self._llm_config.model_id, data=data, usage=usage, object="list" - ) - except Exception as e: - logger.error( - f"Failed while handling embeddings for request ({request_id}): {repr(e)}", - exc_info=e, - ) - async def llm_config(self) -> Optional[LLMConfig]: return self._llm_config diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index c0ef0cff357e..35c1be749672 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -1,82 +1,53 @@ +import argparse import os -import re -import time import uuid -from concurrent.futures.thread import ThreadPoolExecutor -from typing import TYPE_CHECKING, AsyncGenerator, List, Optional, Tuple +from typing import TYPE_CHECKING, AsyncGenerator, Optional, Tuple, Union +from starlette.datastructures import State +from starlette.requests import Request from transformers.dynamic_module_utils import init_hf_modules +from vllm.engine.arg_utils import AsyncEngineArgs +from vllm.entrypoints.openai.protocol import ErrorResponse as VLLMErrorResponse import ray from ray.llm._internal.common.utils.import_utils import try_import -from ray.llm._internal.serve.configs.constants import ( - MAX_NUM_TOPLOGPROBS_ALLOWED, - MIN_NUM_TOPLOGPROBS_ALLOWED, - RAYLLM_ENABLE_REQUEST_PROMPT_LOGS, - RAYLLM_GUIDED_DECODING_BACKEND, -) -from ray.llm._internal.serve.configs.error_handling import ( - InputTooLong, - ValidationError, +from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + ChatCompletionResponse, + CompletionRequest, + CompletionResponse, + EmbeddingRequest, + EmbeddingResponse, + ErrorResponse, ) from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, - FinishReason, - GenerationRequest, LLMConfig, - LLMRawResponse, - LogProb, - LogProbs, - Prompt, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine -from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine_stats import ( - ArgUsage, - VLLMEngineStatTracker, - usage_counters, -) from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - KV_TRANSFER_PARAMS_KEY, - VLLMEmbeddingRequest, + FrontendArgs, VLLMEngineConfig, - VLLMGenerationRequest, - VLLMSamplingParams, ) from ray.llm._internal.serve.deployments.utils.node_initialization_utils import ( InitializeNodeOutput, initialize_node, ) -from ray.llm._internal.serve.deployments.utils.server_utils import floats_to_base64 from ray.llm._internal.serve.observability.logging import get_logger -from ray.llm._internal.serve.observability.metrics.utils import ( - LONG_RANGE_LATENCY_HISTOGRAM_BUCKETS_MS, - ClockUnit, - MsClock, -) -from ray.util import metrics from ray.util.placement_group import PlacementGroup from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy if TYPE_CHECKING: - from vllm import SamplingParams as VLLMInternalSamplingParams - from vllm.config import ModelConfig, VllmConfig - from vllm.engine.arg_utils import AsyncEngineArgs + from vllm.config import VllmConfig from vllm.engine.protocol import EngineClient - from vllm.outputs import PoolingRequestOutput, RequestOutput + from vllm.entrypoints.openai.serving_chat import OpenAIServingChat + from vllm.entrypoints.openai.serving_completion import OpenAIServingCompletion + from vllm.entrypoints.openai.serving_embedding import OpenAIServingEmbedding + from vllm.entrypoints.openai.serving_models import OpenAIServingModels vllm = try_import("vllm") logger = get_logger(__name__) -time_in_queue_histogram = metrics.Histogram( - "vllm_engine_stats_time_in_queue_ms", - "Time a request spends in the queue first forward pass not included (ms).", - boundaries=LONG_RANGE_LATENCY_HISTOGRAM_BUCKETS_MS, -) - -V1_TOO_LONG_PATTERN = re.compile( - r".* (\d+).* is longer than the maximum model length of (\d+).*" -) - def _get_vllm_engine_config( llm_config: LLMConfig, @@ -179,86 +150,35 @@ def __init__( port = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_PORT kv_transfer_config.engine_id = "-".join([engine_id, host, str(port)]) - assert isinstance( - llm_config, LLMConfig - ), f"Got invalid config {llm_config} of type {type(llm_config)}" - self.llm_config = llm_config - - self._stats = VLLMEngineStatTracker() self._running = False - self.model_config: "ModelConfig" = None - self._engine_client = None - self.vllm_config: "VllmConfig" = None - # Chat template content format (openai or string) - self._resolved_content_format = None - # Also need local instance of the tokenizer to manage prompt formatting. - self._tokenizer = None - - self._tokenizer_executor = ThreadPoolExecutor(max_workers=1) - self._atokenize = vllm_utils.make_async( - self._tokenize, executor=self._tokenizer_executor - ) - - def _tokenize( - self, prompt_text: str, add_special_tokens: bool = False - ) -> List[int]: - encoded = self._tokenizer(prompt_text, add_special_tokens=add_special_tokens) - return encoded.input_ids + # vLLM Integration points. Will be set through .start() + self._engine_client = None + self._oai_models: Optional["OpenAIServingModels"] = None + self._oai_serving_chat: Optional["OpenAIServingChat"] = None + self._oai_serving_completion: Optional["OpenAIServingCompletion"] = None + self._oai_serving_embedding: Optional["OpenAIServingEmbedding"] = None async def start(self) -> None: """Start the vLLM engine. If the engine is already running, do nothing. """ - from vllm.entrypoints.chat_utils import ( - resolve_chat_template_content_format as _resolve_chat_template_content_format, - ) if self._running: # The engine is already running! logger.info("Skipping engine restart because the engine is already running") return - self._engine_client = await self._start_engine() - self._running = True - self.model_config = await self._engine_client.get_model_config() - - self._tokenizer = await self._engine_client.get_tokenizer() - - def resolve_chat_template_content_format(model_config, **kwargs): - try: - return _resolve_chat_template_content_format( - model_config=model_config, **kwargs - ) - except TypeError: - # Legacy API before vLLM 0.9.0. - # TODO(#52975): Remove this try-except once vLLM <0.9.0 is no longer supported. - return _resolve_chat_template_content_format( - trust_remote_code=model_config.trust_remote_code, **kwargs - ) - - self._resolved_content_format = resolve_chat_template_content_format( - model_config=self.model_config, - # Use HF to get the chat template so set it to None here. - chat_template=None, - # Default to None, change when it's needed. - # vLLM does not have a high level API to support all of this. - tools=None, - # Let vLLM decide the content format. - given_format="auto", - tokenizer=self._tokenizer, - ) + from vllm.entrypoints.openai.api_server import init_app_state - logger.info("Started vLLM engine.") - - async def _start_engine(self) -> "EngineClient": - # Initialize node and return all configurations node_initialization = await initialize_node(self.llm_config) - vllm_engine_args, vllm_engine_config = await self._prepare_engine_config( - node_initialization - ) + ( + vllm_engine_args, + vllm_frontend_args, + vllm_engine_config, + ) = self._prepare_engine_config(node_initialization) # Apply checkpoint info to the llm_config. # This is needed for capturing model capabilities @@ -269,22 +189,82 @@ async def _start_engine(self) -> "EngineClient": trust_remote_code=config.trust_remote_code, ) - return self._start_async_llm_engine( + self._engine_client = self._start_async_llm_engine( vllm_engine_args, vllm_engine_config, node_initialization.placement_group, ) - async def _prepare_engine_config(self, node_initialization: InitializeNodeOutput): + state = State() + # TODO (Kourosh): There might be some variables that needs protection? + args = argparse.Namespace( + **vllm_frontend_args.__dict__, + **vllm_engine_args.__dict__, + ) + + await init_app_state( + engine_client=self._engine_client, + vllm_config=vllm_engine_config, + state=state, + args=args, + ) + + self._oai_models = state.openai_serving_models + self._oai_serving_chat = state.openai_serving_chat + self._oai_serving_completion = state.openai_serving_completion + self._oai_serving_embedding = state.openai_serving_embedding + + self._validate_openai_serving_models() + self._validate_engine_client() + + self._running = True + + logger.info("Started vLLM engine.") + + def _validate_openai_serving_models(self): + assert self._oai_models is not None, "oai_models is not initialized" + assert hasattr( + self._oai_models, "lora_requests" + ), "oai_models must have a lora_requests attribute" + assert hasattr( + self._oai_models, "load_lora_adapter" + ), "oai_models must have a load_lora_adapter attribute" + + def _validate_openai_serving_chat(self): + assert hasattr( + self._oai_serving_chat, "create_chat_completion" + ), "oai_serving_chat must have a create_chat_completion attribute" + + def _validate_openai_serving_completion(self): + assert hasattr( + self._oai_serving_completion, "create_completion" + ), "oai_serving_completion must have a create_completion attribute" + + def _validate_openai_serving_embedding(self): + assert hasattr( + self._oai_serving_embedding, "create_embedding" + ), "oai_serving_embedding must have a create_embedding attribute" + + def _validate_engine_client(self): + assert hasattr( + self._engine_client, "check_health" + ), "engine_client must have a check_health attribute" + + def _prepare_engine_config( + self, node_initialization: InitializeNodeOutput + ) -> Tuple["AsyncEngineArgs", "FrontendArgs", "VllmConfig"]: """Prepare the engine config to start the engine. Args: - node_initialization: The node initialization. + node_initialization: The node initialization output. Returns: - engine_args: The vLLM's internal engine arguments that is flattened. - engine_config: The vLLM's internal engine config that is nested. + A tuple of: + engine_args: The vLLM's internal engine arguments that is flattened. + frontend_args: The vLLM's internal frontend arguments that is flattened. + engine_config: The vLLM's internal engine config that is nested. """ + engine_config: VLLMEngineConfig = self.llm_config.get_engine_config() if engine_config.use_gpu: @@ -310,29 +290,27 @@ async def _prepare_engine_config(self, node_initialization: InitializeNodeOutput self.llm_config ) - # Note (genesu): vllm_config is used to extract the scheduler config for - # computing the correct prompt limit. - self.vllm_config = vllm_engine_config - return vllm_engine_args, vllm_engine_config + vllm_frontend_args = FrontendArgs(**engine_config.frontend_kwargs) + return vllm_engine_args, vllm_frontend_args, vllm_engine_config def _start_async_llm_engine_v0( self, - vllm_engine_args: "AsyncEngineArgs", - vllm_engine_config: "VllmConfig", + engine_args: "AsyncEngineArgs", + vllm_config: "VllmConfig", placement_group: PlacementGroup, ) -> "EngineClient": from vllm.engine.async_llm_engine import AsyncLLMEngine from vllm.executor.ray_distributed_executor import RayDistributedExecutor - vllm_engine_config.parallel_config.placement_group = placement_group + vllm_config.parallel_config.placement_group = placement_group _clear_current_platform_cache() engine_client = AsyncLLMEngine( - vllm_config=vllm_engine_config, + vllm_config=vllm_config, executor_class=RayDistributedExecutor, - log_stats=not vllm_engine_args.disable_log_stats, + log_stats=not engine_args.disable_log_stats, ) return engine_client @@ -380,470 +358,130 @@ def _start_async_llm_engine( return engine_client - async def prepare_request( - self, - request_id: str, - prompt: Prompt, - stream: bool, - disk_lora_model: Optional[DiskMultiplexConfig] = None, - ) -> GenerationRequest: - from vllm.entrypoints.chat_utils import ( - apply_hf_chat_template as _apply_hf_chat_template, - parse_chat_messages_futures, - ) + async def resolve_lora(self, disk_lora_model: DiskMultiplexConfig): + from vllm.entrypoints.openai.protocol import LoadLoRAAdapterRequest - model_config = self.model_config - mm_data = None + # TODO (Kourosh): We should uncomment this logic when + # https://github.com/vllm-project/vllm/pull/20636 is + # included in our vLLM release. + # if disk_lora_model.model_id in self._oai_models.lora_requests: + # # Lora is already loaded, return + # return - if isinstance(prompt.prompt, list): - messages = [m.model_dump() for m in prompt.prompt] - conversation, mm_futures = parse_chat_messages_futures( - messages=messages, - model_config=model_config, - tokenizer=self._tokenizer, - content_format=self._resolved_content_format, - ) - mm_data = await mm_futures - - def apply_hf_chat_template(model_config, **kwargs): - try: - return _apply_hf_chat_template(model_config=model_config, **kwargs) - except TypeError: - # Legacy API before vLLM 0.9.0. - # TODO(#52975): Remove above once vLLM <0.9.0 is no longer supported. - return _apply_hf_chat_template( - trust_remote_code=model_config.trust_remote_code, **kwargs - ) + self._validate_openai_serving_models() + + if any( + lora_request.lora_name == disk_lora_model.model_id + for lora_request in self._oai_models.lora_requests # type: ignore[attr-defined] + ): + # Lora is already loaded, return + return - prompt_text = apply_hf_chat_template( - model_config=model_config, - tokenizer=self._tokenizer, - conversation=conversation, - chat_template=None, - tools=None, - tokenize=False, - # **kwargs for tokenizer.apply_chat_template - trust_remote_code=model_config.trust_remote_code, - add_generation_prompt=True, - continue_final_message=False, + lora_request = await self._oai_models.load_lora_adapter( # type: ignore[attr-defined] + request=LoadLoRAAdapterRequest( + lora_name=disk_lora_model.model_id, + lora_path=disk_lora_model.local_path, ) - else: - prompt_text = prompt.prompt + ) - prompt_token_ids = await self._atokenize(prompt_text) + if isinstance(lora_request, VLLMErrorResponse): + raise ValueError(f"Failed to load lora model: {lora_request.message}") - request_params = { - "prompt": prompt_text, - "prompt_token_ids": prompt_token_ids, - "request_id": request_id, - "sampling_params": VLLMSamplingParams.from_prompt(prompt), - "disk_multiplex_config": disk_lora_model, - "stream": stream, + def _create_raw_request( + self, + request: Union[CompletionRequest, ChatCompletionRequest, EmbeddingRequest], + path: str, + ) -> Request: + scope = { + "type": "http", + "method": "POST", + "path": path, + "headers": [(b"x-request-id", getattr(request, "request_id", "").encode())], + "query_string": b"", } - if mm_data: - request_params["multi_modal_data"] = mm_data - - vllm_request = VLLMGenerationRequest(**request_params) - return vllm_request - - async def generate( - self, request: GenerationRequest - ) -> AsyncGenerator[LLMRawResponse, None]: - """Generate an LLMRawResponse stream - - The vLLM generation request will be passed into vLLM, and the resulting output - will be wrapped in an LLMRawResponse and yielded back to the user. - - Error handling: - - We schedule a finalizer that will abort the request on the engine. - - If an exception is raised in this function or vllm, the finalizer guarantees that the request is aborted. - If an exception is raised in the caller, when this generator is gced, it will run the finalizer and abort the request. + return Request(scope) - This should also handle the case where the caller is cancelled (raises asyncio.CancelledError) - """ - if RAYLLM_ENABLE_REQUEST_PROMPT_LOGS: - logger.info( - f"Request {request.request_id} started. " f"Prompt: {request.prompt}" - ) + async def chat( + self, request: ChatCompletionRequest + ) -> AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None]: + self._validate_openai_serving_chat() - if request.prompt_token_ids is not None: - prompt = vllm.TokensPrompt( - prompt_token_ids=request.prompt_token_ids, - multi_modal_data=request.multi_modal_data, - ) - else: - prompt = vllm.TextPrompt( - prompt=request.prompt, - multi_modal_data=request.multi_modal_data, - ) + # TODO (Kourosh): Remove when we upstream request_id attribute to vLLM. + # PR: https://github.com/vllm-project/vllm/pull/21009 + # Create a fake starlette.Request object with the x-request-id header + # so that the create_chat_completion API can assign the request_id properly. + raw_request = self._create_raw_request(request, "/chat/completions") - # Construct a results generator from vLLM - results_generator: AsyncGenerator[ - "RequestOutput", None - ] = self._engine_client.generate( - prompt=prompt, - sampling_params=self._parse_sampling_params(request.sampling_params), - request_id=request.request_id, - lora_request=request.lora_request, # type: ignore + chat_response = await self._oai_serving_chat.create_chat_completion( # type: ignore[attr-defined] + request, raw_request=raw_request ) - # Loop over the results - num_text_returned = 0 - all_tokens_collected = 0 - clock = MsClock(unit=ClockUnit.s) - log_probs_idx = 0 - finish_reason = None - num_input_tokens = 0 - try: - start = time.perf_counter() - request_output = None - async for request_output in self._stats.auto_track(results_generator): - # TODO(tchordia): handle more than one output - assert ( - len(request_output.outputs) == 1 - ), "Received more than 1 output from vllm, aborting" - - output = request_output.outputs[0] - text_output = output.text[num_text_returned:] - num_text_returned += len(text_output) - num_input_tokens = len(request_output.prompt_token_ids) - tokens_collected = len(output.token_ids) - all_tokens_collected - all_tokens_collected += tokens_collected - finish_reason = FinishReason.from_vllm_finish_reason( - output.finish_reason - ) - - self._handle_input_too_long(request_output, finish_reason) - - log_probs, log_probs_idx = self._extract_logprobs( - output, - log_probs_idx, - request.sampling_params.top_logprobs, - ) - internal_metadata = {} - if getattr(request_output, "kv_transfer_params", None) is not None: - internal_metadata[ - KV_TRANSFER_PARAMS_KEY - ] = request_output.kv_transfer_params - yield LLMRawResponse( - generated_text=text_output, - num_generated_tokens=tokens_collected, - logprobs=log_probs, - num_generated_tokens_batch=tokens_collected, - num_input_tokens=num_input_tokens, - num_input_tokens_batch=num_input_tokens, - preprocessing_time=0, - generation_time=clock.reset_interval(), - finish_reason=finish_reason, - metadata=internal_metadata, - ) - - if request_output is not None: - total_request_time = time.perf_counter() - start - if request_output.metrics is None: - # vLLM V1 metrics are not included in the request output yet. - queue_time = "N/A" - generation_time_str = "N/A" - tokens_s = "N/A" - generated_tokens_s = "N/A" - else: - time_in_queue_histogram.observe( - request_output.metrics.time_in_queue - ) - queue_time = f"{request_output.metrics.time_in_queue}s" - generation_time = ( - total_request_time - request_output.metrics.time_in_queue + if isinstance(chat_response, AsyncGenerator): + async for response in chat_response: + if not isinstance(response, str): + raise ValueError( + f"Expected create_chat_completion to return a stream of strings, got and item with type {type(response)}" ) - generation_time_str = f"{generation_time}s" - tokens_s = ( - num_input_tokens + all_tokens_collected - ) / generation_time - generated_tokens_s = all_tokens_collected / generation_time - - logger.info( - f"Request {request.request_id} finished ({finish_reason}). " - f"Total time: {total_request_time}s, " - f"Queue time: {queue_time}, " - f"Generation+async time: {generation_time_str}, " - f"Input tokens: {num_input_tokens}, " - f"Generated tokens: {all_tokens_collected}, " - f"tokens/s: {tokens_s}, " - f"generated tokens/s: {generated_tokens_s}." - ) - else: - logger.warning( - f"Request {request.request_id} " - "finished without any output. " - f"Input tokens: {num_input_tokens}." - ) - except ValueError as e: - error_args = e.args - if len(error_args) == 3 and "Input too long." == error_args[0]: - _, input_length, max_input_length = error_args - raise InputTooLong(input_length, max_input_length).exception from None - elif len(error_args) == 1 and V1_TOO_LONG_PATTERN.match(error_args[0]): - parsed_error = V1_TOO_LONG_PATTERN.match(error_args[0]) - raise InputTooLong( - int(parsed_error[1]), int(parsed_error[2]) - ).exception from None + yield response + else: + if isinstance(chat_response, VLLMErrorResponse): + yield ErrorResponse(**chat_response.model_dump()) else: - raise e from None - finally: - # Ensure that we cancel on the engine once we have exited the streaming - # phase - await self._engine_client.abort(request.request_id) - - def _get_prompt_limit(self) -> int: - """Helper to get the prompt limit from scheduler config + yield ChatCompletionResponse(**chat_response.model_dump()) + + async def completions( + self, request: CompletionRequest + ) -> AsyncGenerator[Union[str, CompletionResponse, ErrorResponse], None]: + self._validate_openai_serving_completion() + + # TODO (Kourosh): Remove when we upstream request_id attribute to vLLM. + # PR: https://github.com/vllm-project/vllm/pull/21009 + # Create a fake starlette.Request object with the x-request-id header + # so that the create_completion API can assign the request_id properly. + raw_request = self._create_raw_request(request, "/completions") + + completion_response = await self._oai_serving_completion.create_completion( # type: ignore[attr-defined] + request, + raw_request=raw_request, + ) - Port from https://github.com/vllm-project/vllm/blob/7b5ecf79bd94aab0d782c70126d0dcc37c16bc60/vllm/core/scheduler.py#L939 - """ - scheduler_config = self.vllm_config.scheduler_config - if ( - scheduler_config.chunked_prefill_enabled - and not scheduler_config.is_multi_step - ): - prompt_limit = scheduler_config.max_model_len + if isinstance(completion_response, AsyncGenerator): + async for response in completion_response: + if not isinstance(response, str): + raise ValueError( + f"Expected create_completion to return a stream of strings, got and item with type {type(response)}" + ) + yield response else: - prompt_limit = min( - scheduler_config.max_model_len, - scheduler_config.max_num_batched_tokens, - ) - return prompt_limit - - def _handle_input_too_long( - self, request_output: "RequestOutput", finish_reason: Optional[FinishReason] - ): - if ( - finish_reason - and finish_reason == FinishReason.LENGTH - and hasattr(request_output.metrics, "first_token_time") - and request_output.metrics.first_token_time is None - ): - # This means that the prompt was too long and we did not generate anything. - raise InputTooLong( - len(request_output.prompt_token_ids), self._get_prompt_limit() - ).exception - - async def embed( - self, vllm_embedding_request: VLLMEmbeddingRequest - ) -> Tuple[List[List[float]], int]: - """Return (embeddings, num_prompt_tokens)""" - - num_prompts = len(vllm_embedding_request.prompt) - if RAYLLM_ENABLE_REQUEST_PROMPT_LOGS: - logger.info( - f"Encoding request {vllm_embedding_request.request_id} started. " - f"Num prompts: {num_prompts}" - ) - - generators: List[AsyncGenerator["PoolingRequestOutput", None]] = [] - - prompts = vllm_embedding_request.prompt - if isinstance(prompts, str): - prompts = [prompts] - - for i, prompt in enumerate(prompts): - request_id = f"{vllm_embedding_request.request_id}-{i}" - gen: AsyncGenerator[ - "PoolingRequestOutput", None - ] = self._engine_client.encode( - prompt=vllm.TextPrompt( - prompt=prompt, - ), - pooling_params=vllm.PoolingParams(), - request_id=request_id, - lora_request=vllm_embedding_request.lora_request, # type: ignore - ) - generators.append(gen) + if isinstance(completion_response, VLLMErrorResponse): + yield ErrorResponse(**completion_response.model_dump()) + else: + yield CompletionResponse(**completion_response.model_dump()) - embedding_data = [] - total_prompt_tokens = 0 + async def embeddings( + self, request: EmbeddingRequest + ) -> AsyncGenerator[Union[EmbeddingResponse, ErrorResponse], None]: + self._validate_openai_serving_embedding() - for gen in generators: - async for result in gen: - if hasattr(result.outputs, "embedding"): - embedding = result.outputs.embedding - else: - embedding = result.outputs.data.tolist() - if vllm_embedding_request.encoding_format == "base64": - embedding = floats_to_base64(embedding) + # TODO (Kourosh): Remove when upstream is fixed to accept req_id. + # Create a fake starlette.Request object with the x-request-id header + # so that the create_embedding API can assign the request_id properly. + raw_request = self._create_raw_request(request, "/embeddings") - embedding_data.append(embedding) - total_prompt_tokens += len(result.prompt_token_ids) + embedding_response = await self._oai_serving_embedding.create_embedding( # type: ignore[attr-defined] + request, raw_request=raw_request + ) - return embedding_data, total_prompt_tokens + if isinstance(embedding_response, VLLMErrorResponse): + yield ErrorResponse(**embedding_response.model_dump()) + else: + yield EmbeddingResponse(**embedding_response.model_dump()) async def check_health(self) -> None: - if not hasattr(self._engine_client, "check_health"): - raise RuntimeError( - f"{type(self._engine_client)} does not support health check." - ) + assert self._engine_client is not None, "engine_client is not initialized" try: await self._engine_client.check_health() except BaseException as e: logger.error("Healthcheck failed. The replica will be restarted") raise e from None - - @staticmethod - def _collect_usage_metrics(sampling_params: VLLMSamplingParams) -> None: - if sampling_params.best_of is not None: - usage_counters[ArgUsage.BEST_OF].inc() - - if sampling_params.presence_penalty is not None: - usage_counters[ArgUsage.PRESENCE_PENALTY].inc() - - if sampling_params.frequency_penalty is not None: - usage_counters[ArgUsage.FREQUENCY_PENALTY].inc() - - if ( - sampling_params.presence_penalty is not None - and sampling_params.frequency_penalty is not None - ): - usage_counters[ArgUsage.PRESENCE_AND_FREQUENCY_PENALTY].inc() - - if sampling_params.temperature is not None: - usage_counters[ArgUsage.TEMPERATURE].inc() - - if sampling_params.top_p is not None: - usage_counters[ArgUsage.TOP_P].inc() - - if sampling_params.top_k is not None: - usage_counters[ArgUsage.TOP_K].inc() - - if sampling_params.stop is not None: - usage_counters[ArgUsage.STOP].inc() - - if sampling_params.max_tokens is not None: - usage_counters[ArgUsage.MAX_TOKENS].inc() - - if sampling_params.logprobs is not None: - usage_counters[ArgUsage.LOGPROBS].inc() - - def _parse_sampling_params( - self, sampling_params: VLLMSamplingParams - ) -> "VLLMInternalSamplingParams": - """Parse the vllm sampling parameters from the prompt. - This function is used to parse the sampling parameters from the prompt. - It also collects the usage metrics for the sampling parameters. - Args: - sampling_params: The sampling parameters defined in ray.serve.llm. - Returns: - vllm.SamplingParams, The parsed sampling parameters. - """ - self._collect_usage_metrics(sampling_params) - try: - if self.model_config is None: - raise RuntimeError( - "VLLMEngine.model_config not set. Maybe VLLMEngine.start() was not called?" - ) - - log_probs = None - if sampling_params.logprobs: - max_logprobs = getattr(self.model_config, "max_logprobs", 0) - max_logprobs = min(MAX_NUM_TOPLOGPROBS_ALLOWED, max_logprobs) - if max_logprobs == 0: - raise ValueError("This model doesn't support outputting logprobs.") - if sampling_params.top_logprobs: - if not ( - MIN_NUM_TOPLOGPROBS_ALLOWED - <= sampling_params.top_logprobs - <= max_logprobs - ): - raise ValueError( - f"top_logprobs must be between {MIN_NUM_TOPLOGPROBS_ALLOWED} " - f"and {max_logprobs}. Got {sampling_params.top_logprobs}." - ) - log_probs = sampling_params.top_logprobs - else: - log_probs = 1 - else: - if sampling_params.top_logprobs: - raise ValueError( - "if top_logprobs is specified, logprobs must be set to `True`" - ) - - kwargs = dict( - n=1, - best_of=sampling_params.best_of, - presence_penalty=0.0, - frequency_penalty=0.0, - repetition_penalty=1.0, - temperature=1.0, - top_p=1.0, - top_k=-1, - stop=sampling_params.stop, - stop_token_ids=sampling_params.stop_tokens, - ignore_eos=False, - # vLLM will cancel internally if input+output>max_tokens - max_tokens=self.model_config.max_model_len, - logprobs=log_probs, - ) - if sampling_params.presence_penalty is not None: - kwargs["presence_penalty"] = sampling_params.presence_penalty - if sampling_params.frequency_penalty is not None: - kwargs["frequency_penalty"] = sampling_params.frequency_penalty - if sampling_params.repetition_penalty is not None: - kwargs["repetition_penalty"] = sampling_params.repetition_penalty - if sampling_params.temperature is not None: - kwargs["temperature"] = sampling_params.temperature - if sampling_params.top_p is not None: - kwargs["top_p"] = sampling_params.top_p - if sampling_params.top_k is not None: - kwargs["top_k"] = sampling_params.top_k - if sampling_params.ignore_eos is not None: - kwargs["ignore_eos"] = sampling_params.ignore_eos - if sampling_params.max_tokens is not None: - kwargs["max_tokens"] = sampling_params.max_tokens - # If we set it to None, vLLM will throw an exception - # as that is not the default value. Omitting it - # will allow vLLM to generate a new seed internally, - # as expected. - if sampling_params.seed is not None: - kwargs["seed"] = sampling_params.seed - if sampling_params.response_format is not None: - kwargs[ - "guided_decoding" - ] = sampling_params.response_format.to_guided_decoding_params( - backend=RAYLLM_GUIDED_DECODING_BACKEND - ) - if sampling_params.kv_transfer_params is not None: - kwargs["extra_args"] = { - KV_TRANSFER_PARAMS_KEY: sampling_params.kv_transfer_params - } - - return vllm.SamplingParams(**kwargs) - except Exception as e: - # Wrap the error in ValidationError so the status code - # returned to the user is correct. - raise ValidationError(str(e)) from e - - @staticmethod - def _extract_logprobs( - output: "RequestOutput", - log_probs_idx: int, - top_logprobs: Optional[int] = None, - ) -> Tuple[List[LogProbs], int]: - all_log_probs = output.logprobs[log_probs_idx:] if output.logprobs else None - return_log_probs = [] - if all_log_probs: - for log_probs in all_log_probs: - log_probs_for_n_sampled = [ - LogProb( - logprob=log_prob.logprob, - token=log_prob.decoded_token, - bytes=list(log_prob.decoded_token.encode()), - ) - for log_prob in log_probs.values() - if log_prob.decoded_token is not None - ] - if log_probs_for_n_sampled: - return_log_probs += [ - LogProbs.create( - logprobs=log_probs_for_n_sampled, top_logprobs=top_logprobs - ) - ] - return return_log_probs, log_probs_idx + len(return_log_probs) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine_stats.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine_stats.py deleted file mode 100644 index 2d651091f935..000000000000 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine_stats.py +++ /dev/null @@ -1,213 +0,0 @@ -import asyncio -from enum import Enum -from typing import TYPE_CHECKING, AsyncIterator, Optional - -from pydantic import BaseModel - -from ray.util import metrics -from ray.util.metrics import Counter - -if TYPE_CHECKING: - from vllm.outputs import RequestOutput - - -engine_metrics_prefix = "vllm_engine_stats" -num_current_pending_requests_gauge = metrics.Gauge( - f"{engine_metrics_prefix}_num_current_pending_requests", - "current pending requests.", -) -num_current_running_requests_gauge = metrics.Gauge( - f"{engine_metrics_prefix}_num_current_running_requests", - "current running requests.", -) - - -class RequestState(str, Enum): - PENDING = "pending" - RUNNING = "running" - ERRORED = "errored" - CANCELLED = "cancelled" - FINISHED = "finished" - - -state_counters = { - RequestState.PENDING: Counter( - f"{engine_metrics_prefix}_total_requests_submitted", - "total submitted requests.", - ), - RequestState.RUNNING: Counter( - f"{engine_metrics_prefix}_total_requests_started", - "total started requests.", - ), - RequestState.ERRORED: Counter( - f"{engine_metrics_prefix}_total_requests_errored", - "total errored requests.", - ), - RequestState.CANCELLED: Counter( - f"{engine_metrics_prefix}_total_requests_cancelled", - "total cancelled requests.", - ), - RequestState.FINISHED: Counter( - f"{engine_metrics_prefix}_total_requests_finished", - "total finished requests.", - ), -} - -usage_metrics_prefix = "vllm_arg_usage_stats" - - -class ArgUsage(str, Enum): - BEST_OF = "best_of" - PRESENCE_PENALTY = "presence_penalty" - FREQUENCY_PENALTY = "frequency_penalty" - PRESENCE_AND_FREQUENCY_PENALTY = "presence_and_frequency_penalty" - TEMPERATURE = "temperature" - TOP_P = "top_p" - TOP_K = "top_k" - STOP = "stop" - MAX_TOKENS = "max_tokens" - LOGPROBS = "logprobs" - - -usage_counters = { - ArgUsage.BEST_OF: Counter( - f"{usage_metrics_prefix}_best_of_usage_count", - "total number of usage of best of.", - ), - ArgUsage.PRESENCE_PENALTY: Counter( - f"{usage_metrics_prefix}_presence_penalty_usage_count", - "total number of usage of presence penalty.", - ), - ArgUsage.FREQUENCY_PENALTY: Counter( - f"{usage_metrics_prefix}_frequency_penalty_usage_count", - "total number of usage of frequency penalty.", - ), - ArgUsage.PRESENCE_AND_FREQUENCY_PENALTY: Counter( - f"{usage_metrics_prefix}_presence_and_frequency_penalty_usage_count", - "total number of usage when both presence penalty and frequency penalty are on.", - ), - ArgUsage.TEMPERATURE: Counter( - f"{usage_metrics_prefix}_temperature_usage_count", - "total number of usage of temperature.", - ), - ArgUsage.TOP_P: Counter( - f"{usage_metrics_prefix}_top_p_usage_count", - "total number of usage of top p.", - ), - ArgUsage.TOP_K: Counter( - f"{usage_metrics_prefix}_top_k_usage_count", - "total number of usage of top k.", - ), - ArgUsage.STOP: Counter( - f"{usage_metrics_prefix}_stop_usage_count", - "total number of usage of stop.", - ), - ArgUsage.MAX_TOKENS: Counter( - f"{usage_metrics_prefix}_max_tokens_usage_count", - "total number of usage of max tokens.", - ), - ArgUsage.LOGPROBS: Counter( - f"{usage_metrics_prefix}_logprobs_usage_count", - "total number of usage of logprobs.", - ), -} - - -class StateStats(BaseModel): - total_count: int = 0 - num_current: int = 0 - - -class VLLMEngineStats(BaseModel): - num_current_pending_requests: int - num_current_running_requests: int - total_requests_submitted: int - total_requests_started: int - total_requests_errored: int - total_requests_cancelled: int - total_requests_finished: int - - -class VLLMEngineStatTracker: - def __init__(self): - self.stats = {r: StateStats() for r in RequestState} - - def _update_gauges(self): - num_current_pending_requests_gauge.set( - self.stats[RequestState.PENDING].num_current - ) - num_current_running_requests_gauge.set( - self.stats[RequestState.RUNNING].num_current - ) - - def enter_state(self, state: RequestState): - self.stats[state].total_count += 1 - self.stats[state].num_current += 1 - state_counters[state].inc() - self._update_gauges() - - def exit_state(self, state: RequestState): - self.stats[state].num_current -= 1 - self._update_gauges() - - async def auto_track( - self, async_iterator: AsyncIterator["RequestOutput"] - ) -> AsyncIterator["RequestOutput"]: - # The request is pending right now - request_state_tracker = RequestStateTracker(self) - request_state_tracker.state = RequestState.PENDING - try: - async for x in async_iterator: - request_state_tracker.state = RequestState.RUNNING - yield x - request_state_tracker.state = RequestState.FINISHED - except asyncio.CancelledError: - request_state_tracker.state = RequestState.CANCELLED - raise - except Exception: - request_state_tracker.state = RequestState.ERRORED - raise - finally: - # Remove the state - request_state_tracker.state = None - - def to_stats(self) -> VLLMEngineStats: - return VLLMEngineStats( - num_current_pending_requests=self.stats[RequestState.PENDING].num_current, - num_current_running_requests=self.stats[RequestState.RUNNING].num_current, - total_requests_submitted=self.stats[RequestState.PENDING].total_count, - total_requests_started=self.stats[RequestState.RUNNING].total_count, - total_requests_cancelled=self.stats[RequestState.CANCELLED].total_count, - total_requests_errored=self.stats[RequestState.ERRORED].total_count, - total_requests_finished=self.stats[RequestState.FINISHED].total_count, - ) - - -class RequestStateTracker: - """Track the stats for a single request""" - - def __init__(self, global_stats: VLLMEngineStatTracker): - self._state: Optional[RequestState] = None - self.global_stats = global_stats - - @property - def state(self): - return self._state - - @state.setter - def state(self, state: RequestState): - if state == self._state: - # Noop - return - - if self._state is not None: - self.global_stats.exit_state(self._state) - - if state is not None: - self.global_stats.enter_state(state) - - self._state = state - - def __del__(self): - # Remove the state automatically when the object is deleted - self.state = None diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index f0c79e636e23..a840575f468a 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -1,8 +1,9 @@ import dataclasses import os -from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional -from pydantic import ConfigDict, Field, ValidationError, field_validator +from pydantic import ConfigDict, Field from vllm.engine.arg_utils import AsyncEngineArgs from ray.llm._internal.common.base_pydantic import BaseModelExtended @@ -11,15 +12,10 @@ from ray.llm._internal.serve.configs.constants import ( ALLOW_NEW_PLACEMENT_GROUPS_IN_DEPLOYMENT, ENV_VARS_TO_PROPAGATE, - RAYLLM_GUIDED_DECODING_BACKEND, ) -from ray.llm._internal.serve.configs.prompt_formats import Prompt from ray.llm._internal.serve.configs.server_models import ( - DiskMultiplexConfig, - GenerationRequest, GPUType, LLMConfig, - SamplingParams, ) from ray.llm._internal.serve.observability.logging import get_logger from ray.util.placement_group import ( @@ -29,14 +25,52 @@ placement_group_table, ) -# The key for the kv_transfer_params in the internal metadata. -KV_TRANSFER_PARAMS_KEY = "kv_transfer_params" -vllm = try_import("vllm") +# TODO (Kourosh): Temprary until this abstraction lands in vllm upstream. +# https://github.com/vllm-project/vllm/pull/20206 +@dataclass +class FrontendArgs: + """Mirror of default values for FrontendArgs in vllm.""" + + host: Optional[str] = None + port: int = 8000 + uvicorn_log_level: str = "info" + disable_uvicorn_access_log: bool = False + allow_credentials: bool = False + allowed_origins: list[str] = field(default_factory=lambda: ["*"]) + allowed_methods: list[str] = field(default_factory=lambda: ["*"]) + allowed_headers: list[str] = field(default_factory=lambda: ["*"]) + api_key: Optional[str] = None + lora_modules: Optional[list[str]] = None + prompt_adapters: Optional[list[str]] = None + chat_template: Optional[str] = None + chat_template_content_format: str = "auto" + response_role: str = "assistant" + ssl_keyfile: Optional[str] = None + ssl_certfile: Optional[str] = None + ssl_ca_certs: Optional[str] = None + enable_ssl_refresh: bool = False + ssl_cert_reqs: int = 0 + root_path: Optional[str] = None + middleware: list[str] = field(default_factory=lambda: []) + return_tokens_as_token_ids: bool = False + disable_frontend_multiprocessing: bool = False + enable_request_id_headers: bool = False + enable_auto_tool_choice: bool = False + tool_call_parser: Optional[str] = None + tool_parser_plugin: str = "" + log_config_file: Optional[str] = None + max_log_len: Optional[int] = None + disable_fastapi_docs: bool = False + enable_prompt_tokens_details: bool = False + enable_server_load_tracking: bool = False + enable_force_include_usage: bool = False + expand_tools_even_if_tool_choice_none: bool = False -if TYPE_CHECKING: - from vllm.lora.request import LoRARequest +# The key for the kv_transfer_params in the internal metadata. +KV_TRANSFER_PARAMS_KEY = "kv_transfer_params" +vllm = try_import("vllm") logger = get_logger(__name__) @@ -77,10 +111,6 @@ def actual_hf_model_id(self) -> str: def trust_remote_code(self) -> bool: return self.engine_kwargs.get("trust_remote_code", False) - @property - def sampling_params_model(self): - return VLLMSamplingParams - def get_initialization_kwargs(self) -> dict: """ Get kwargs that will be actually passed to the LLMInitializer @@ -106,14 +136,14 @@ def get_initialization_kwargs(self) -> dict: else: engine_kwargs["distributed_executor_backend"] = "ray" - if "disable_log_stats" in engine_kwargs and engine_kwargs["disable_log_stats"]: + if ( + "disable_log_stats" in engine_kwargs + and not engine_kwargs["disable_log_stats"] + ): logger.warning( - "disable_log_stats = True is not allowed in engine_kwargs when using Ray Serve LLM Configs. Setting it to False." + "disable_log_stats = False is not allowed in engine_kwargs when using Ray Serve LLM Configs. Setting it to True." ) - engine_kwargs["disable_log_stats"] = False - - if "guided_decoding_backend" not in engine_kwargs: - engine_kwargs["guided_decoding_backend"] = RAYLLM_GUIDED_DECODING_BACKEND + engine_kwargs["disable_log_stats"] = True return engine_kwargs @@ -145,17 +175,20 @@ def from_llm_config(cls, llm_config: LLMConfig) -> "VLLMEngineConfig": frontend_kwargs = {} # Get field names from dataclasses + frontend_field_names = { + field.name for field in dataclasses.fields(FrontendArgs) + } async_engine_field_names = { field.name for field in dataclasses.fields(AsyncEngineArgs) } for key, value in all_engine_kwargs.items(): - if key in async_engine_field_names: + if key in frontend_field_names: + frontend_kwargs[key] = value + elif key in async_engine_field_names: engine_kwargs[key] = value else: - # Assume anything that is not an engine argument is a frontend - # argument. - frontend_kwargs[key] = value + raise ValueError(f"Unknown engine argument: {key}") return VLLMEngineConfig( model_id=llm_config.model_id, @@ -257,92 +290,3 @@ def get_or_create_pg(self) -> PlacementGroup: logger.info(f"Using new placement group {pg}. {placement_group_table(pg)}") return pg - - -class VLLMSamplingParams(SamplingParams): - """Sampling parameters specific to vLLM engine. - - Args: - top_k: The number of highest probability vocabulary tokens to keep for top-k-filtering. - seed: Seed for deterministic sampling with temperature>0. - repetition_penalty: Float that penalizes new tokens based on whether they - appear in the prompt and the generated text so far. Values > 1 encourage - the model to use new tokens, while values < 1 encourage the model to repeat - tokens. - """ - - _ignored_fields = {"best_of", "n", "logit_bias"} - - top_k: Optional[int] = None - repetition_penalty: Optional[float] = None - seed: Optional[int] = None - kv_transfer_params: Optional[Dict[str, Any]] = None - - @field_validator("n", mode="before") - @classmethod - def validate_n(cls, values): - if values != 1: - raise ValidationError("n>1 is not supported yet in rayllm.") - return values - - @classmethod - def _get_model_validate_kwargs(cls, prompt: Prompt) -> Dict[str, Any]: - """ - Extend the base class's `_get_model_validate_kwargs` to include vllm-specific parameters. - """ - generate_kwargs = super()._get_model_validate_kwargs(prompt) - if ( - prompt.parameters is not None - and KV_TRANSFER_PARAMS_KEY in prompt.parameters - ): - generate_kwargs[KV_TRANSFER_PARAMS_KEY] = prompt.parameters[ - KV_TRANSFER_PARAMS_KEY - ] - return generate_kwargs - - -class VLLMGenerationRequest(GenerationRequest): - model_config = ConfigDict(arbitrary_types_allowed=True) - - # Intentionally override the base class's `sampling_params` field. - sampling_params: Optional[ - Union[ - VLLMSamplingParams, - List[VLLMSamplingParams], - ] - ] = None - multi_modal_data: Optional[Dict[str, Any]] = None - disk_multiplex_config: Optional[DiskMultiplexConfig] = None - - @property - def lora_request(self) -> "LoRARequest": - disk_vllm_config = self.disk_multiplex_config - if not disk_vllm_config: - return None - else: - return vllm.lora.request.LoRARequest( - lora_name=disk_vllm_config.model_id, - lora_int_id=disk_vllm_config.lora_assigned_int_id, - lora_local_path=disk_vllm_config.local_path, - long_lora_max_len=disk_vllm_config.max_total_tokens, - ) - - -class VLLMEmbeddingRequest(GenerationRequest): - model_config = ConfigDict(arbitrary_types_allowed=True) - encoding_format: Optional[Literal["float", "base64"]] = "float" - dimensions: Optional[int] = None - disk_multiplex_config: Optional[DiskMultiplexConfig] = None - - @property - def lora_request(self) -> "LoRARequest": - disk_vllm_config = self.disk_multiplex_config - if not disk_vllm_config: - return None - else: - return vllm.lora.request.LoRARequest( - lora_name=disk_vllm_config.model_id, - lora_int_id=disk_vllm_config.lora_assigned_int_id, - lora_local_path=disk_vllm_config.local_path, - long_lora_max_len=disk_vllm_config.max_total_tokens, - ) diff --git a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py index 399ddbba584b..2ad162e4b403 100644 --- a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py +++ b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py @@ -8,15 +8,18 @@ from vllm.config import KVTransferConfig from ray import serve -from ray.llm._internal.serve.configs.prompt_formats import Prompt +from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + ChatCompletionResponse, + CompletionRequest, + CompletionResponse, + EmbeddingRequest, + EmbeddingResponse, + ErrorResponse, +) from ray.llm._internal.serve.configs.server_models import ( - LLMRawResponse, parse_args as parse_llm_configs, ) -from ray.llm._internal.serve.deployments.llm.llm_server import ResponsePostprocessor -from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - KV_TRANSFER_PARAMS_KEY, -) from ray.serve.deployment import Application from ray.serve.handle import DeploymentHandle from ray.serve.llm import ( @@ -28,6 +31,7 @@ ) logger = logging.getLogger(__name__) +RequestType = Union[ChatCompletionRequest, CompletionRequest] class PDServingArgs(BaseModel): @@ -92,27 +96,20 @@ async def __init__( llm_config, ) - self.prefill_server = prefill_server - self.decode_server = decode_server + self.prefill_server = prefill_server.options(stream=True) + self.decode_server = decode_server.options(stream=True) - async def _predict( - self, - request_id: str, - prompt: Prompt, - stream: bool, - ) -> AsyncGenerator[LLMRawResponse, None]: - """ - Disaggregate the P/D requests: - 1. Send the request to the prefill server. - 2. Parse the response and forward necessary fields to the decode server. - 3. Return the response from the decode server. - """ + async def embeddings( + self, request: EmbeddingRequest + ) -> AsyncGenerator[EmbeddingResponse, None]: + raise NotImplementedError("Embedding is not supported for P/D disaggregation") + def _prepare_prefill_request(self, request: RequestType) -> RequestType: assert ( - prompt.parameters.get(KV_TRANSFER_PARAMS_KEY, None) is None - ), f"{KV_TRANSFER_PARAMS_KEY} should be empty before proxy" - prefill_prompt = prompt.model_copy(deep=True) - prefill_prompt.parameters[KV_TRANSFER_PARAMS_KEY] = { + getattr(request, "kv_transfer_params", None) is None + ), "kv_transfer_params should be empty before proxy" + prefill_request = request.model_copy(deep=True) + prefill_request.kv_transfer_params = { "do_remote_decode": True, "do_remote_prefill": False, "remote_engine_id": None, @@ -120,37 +117,63 @@ async def _predict( "remote_host": None, "remote_port": None, } - prefill_prompt.parameters["max_tokens"] = 1 - - prefill_response_gen: AsyncGenerator[ - LLMRawResponse, None - ] = self.prefill_server.options( - # _predict returns generator, we have to set stream=True - stream=True - )._predict.remote( - request_id=request_id, prompt=prefill_prompt, stream=False - ) + prefill_request.max_tokens = 1 + prefill_request.stream = False - prefill_response = await ResponsePostprocessor.merge_stream( - prefill_response_gen - ) + return prefill_request - if prefill_response.error: - logger.error(f"Prefill server returned error: {prefill_response.error}") - yield prefill_response + def _prepare_decode_request( + self, + request: RequestType, + prefill_chunk: Union[ChatCompletionResponse, CompletionResponse], + ) -> RequestType: + decode_request = request.model_copy(deep=True) + decode_request.kv_transfer_params = prefill_chunk.kv_transfer_params + + return decode_request + + async def _handle_request( + self, + request: RequestType, + ) -> AsyncGenerator[ + Union[str, ChatCompletionResponse, CompletionResponse, ErrorResponse], None + ]: + + await self._maybe_add_request_id_to_request(request) + + if isinstance(request, ChatCompletionRequest): + method = "chat" + elif isinstance(request, CompletionRequest): + method = "completions" + else: + raise ValueError(f"Unsupported request type: {type(request)}") + + prefill_request = self._prepare_prefill_request(request) + prefill_gen = getattr(self.prefill_server, method).remote(prefill_request) + + prefill_chunk = await prefill_gen.__anext__() + + if isinstance(prefill_chunk, ErrorResponse): + logger.error(f"Prefill returned error: {prefill_chunk}") + yield prefill_chunk return - kv_transfer_params = prefill_response.metadata[KV_TRANSFER_PARAMS_KEY] - logger.debug( - f"Prefill metadata[{KV_TRANSFER_PARAMS_KEY}]: {kv_transfer_params}" - ) - prompt.parameters[KV_TRANSFER_PARAMS_KEY] = kv_transfer_params + decode_request = self._prepare_decode_request(request, prefill_chunk) + decode_gen = getattr(self.decode_server, method).remote(decode_request) - async for chunk in self.decode_server.options(stream=True)._predict.remote( - request_id=request_id, prompt=prompt, stream=stream - ): + async for chunk in decode_gen: yield chunk + async def chat( + self, request: ChatCompletionRequest + ) -> AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None]: + return self._handle_request(request) + + async def completions( + self, request: CompletionRequest + ) -> AsyncGenerator[Union[str, CompletionResponse, ErrorResponse], None]: + return self._handle_request(request) + @classmethod def as_deployment(cls) -> serve.Deployment: """Turns PDProxyServer into a Ray Serve deployment.""" diff --git a/python/ray/llm/_internal/serve/deployments/routers/middleware.py b/python/ray/llm/_internal/serve/deployments/routers/middleware.py index d2c2a7a2abde..961e199332ff 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/middleware.py +++ b/python/ray/llm/_internal/serve/deployments/routers/middleware.py @@ -70,7 +70,7 @@ def _uncaught_exception_handler(request: Request, e: Exception): response_payload = get_response_for_error(e, request_id) return JSONResponse( - content=response_payload.model_dump(), status_code=response_payload.error.code + content=response_payload.model_dump(), status_code=response_payload.code ) @@ -115,7 +115,7 @@ async def _handle_application_exceptions( return JSONResponse( content=response_payload.model_dump(), - status_code=response_payload.error.code, + status_code=response_payload.code, ) # This adds last-resort uncaught exception handler into Starlette diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index e488f269605c..2345f877bee7 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -38,20 +38,16 @@ CompletionStreamResponse, EmbeddingRequest, EmbeddingResponse, + ErrorResponse, LLMChatResponse, LLMCompletionsResponse, LLMEmbeddingsResponse, + ModelCard, + ModelList, OpenAIHTTPException, to_model_metadata, ) -from ray.llm._internal.serve.configs.openai_api_models_patch import ( - ErrorResponse, -) -from ray.llm._internal.serve.configs.server_models import ( - LLMConfig, - Model, - ModelData, -) +from ray.llm._internal.serve.configs.server_models import LLMConfig from ray.llm._internal.serve.deployments.llm.multiplex.utils import ( get_base_model_id, get_lora_model_ids, @@ -136,10 +132,21 @@ def _apply_openai_json_format( data: \n\ndata: \n\n... """ if isinstance(response, list): - return "".join(f"data: {r.model_dump_json()}\n\n" for r in response) + first_response = next(iter(response)) + if isinstance(first_response, str): + return "".join(response) + if isinstance(first_response, dict): + return "".join(f"data: {json.dumps(r)}\n\n" for r in response) + if hasattr(first_response, "model_dump_json"): + return "".join(f"data: {r.model_dump_json()}\n\n" for r in response) + raise ValueError( + f"Unexpected response type: {type(first_response)}, {first_response=}" + ) if hasattr(response, "model_dump_json"): return f"data: {response.model_dump_json()}\n\n" - raise ValueError(f"Unexpected response type: {type(response)}") + if isinstance(response, str): + return response + raise ValueError(f"Unexpected response type: {type(response)}, {response=}") async def _peek_at_generator( @@ -296,7 +303,7 @@ async def _get_response( async for response in getattr(model_handle, call_method).remote(body): yield response - async def model(self, model_id: str) -> Optional[ModelData]: + async def model(self, model_id: str) -> Optional[ModelCard]: if model_id in self._llm_configs: return to_model_metadata(model_id, self._llm_configs[model_id]) @@ -322,8 +329,8 @@ async def model(self, model_id: str) -> Optional[ModelData]: "Check that adapter config file exists in cloud bucket." ) - @fastapi_router_app.get("/v1/models", response_model=Model) - async def models(self) -> Model: + @fastapi_router_app.get("/v1/models", response_model=ModelList) + async def models(self) -> ModelList: """OpenAI API-compliant endpoint to get all rayllm models.""" all_models = dict() for base_model_id, llm_config in self._llm_configs.items(): @@ -341,11 +348,11 @@ async def models(self) -> Model: if model_data is not None: all_models[lora_id] = model_data - return Model(data=list(all_models.values())) + return ModelList(data=list(all_models.values())) # :path allows us to have slashes in the model name - @fastapi_router_app.get("/v1/models/{model:path}", response_model=ModelData) - async def model_data(self, model: str) -> ModelData: + @fastapi_router_app.get("/v1/models/{model:path}", response_model=ModelCard) + async def model_data(self, model: str) -> ModelCard: """OpenAI API-compliant endpoint to get one rayllm model. :param model: The model ID (e.g. "amazon/LightGPT") diff --git a/python/ray/llm/_internal/serve/deployments/utils/batcher.py b/python/ray/llm/_internal/serve/deployments/utils/batcher.py index c0a77d1873d8..485099fdd6e4 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/batcher.py +++ b/python/ray/llm/_internal/serve/deployments/utils/batcher.py @@ -4,10 +4,6 @@ from ray.llm._internal.serve.configs.constants import ( MODEL_RESPONSE_BATCH_TIMEOUT_MS, ) -from ray.llm._internal.serve.configs.server_models import ( - BatchedLLMRawResponse, - LLMRawResponse, -) from ray.llm._internal.serve.observability.logging import get_logger logger = get_logger(__name__) @@ -16,11 +12,11 @@ class Batcher(Generic[T]): - """This class batches multiple LLMRawResponses from a generator into a - single response, at some time interval. + """This class batches multiple responses from a generator into a list of + single responses, at some time interval. Args: - generator: the async generator that this class pulls LLMRawResponses + generator: the async generator that this class pulls responses from. interval_ms: the interval at which this class yields the current batch. If None, this class will batch all responses from the generator @@ -103,15 +99,3 @@ def drain_queue(self): except asyncio.QueueEmpty: pass return results - - -class LLMRawResponseBatcher(Batcher): - """This class batches multiple LLMRawResponses into a single BatchedLLMRawResponse.""" - - def _merge_results(self, results: List[LLMRawResponse]) -> BatchedLLMRawResponse: - output: BatchedLLMRawResponse = BatchedLLMRawResponse.merge_stream(*results) # type: ignore - return output - - -class OpenAIResponseBatcher(Batcher): - """This class batches multiple OpenAI responses into a single OpenAI response.""" diff --git a/python/ray/llm/_internal/serve/deployments/utils/error_handling_utils.py b/python/ray/llm/_internal/serve/deployments/utils/error_handling_utils.py deleted file mode 100644 index a28ac201563e..000000000000 --- a/python/ray/llm/_internal/serve/deployments/utils/error_handling_utils.py +++ /dev/null @@ -1,93 +0,0 @@ -import asyncio -from typing import AsyncGenerator, Optional - -from ray.exceptions import RayTaskError, TaskCancelledError -from ray.llm._internal.serve.configs.server_models import LLMRawResponse -from ray.llm._internal.serve.deployments.utils.metrics_utils import Metrics -from ray.llm._internal.serve.deployments.utils.server_utils import ( - get_response_for_error, - get_serve_request_id, -) -from ray.llm._internal.serve.observability.logging import get_logger -from ray.llm._internal.serve.observability.metrics.utils import ( - InstrumentTokenAsyncGenerator, -) - -logger = get_logger(__name__) - - -class StreamingErrorHandler: - """Handle errors and finalizers for an LLMRawResponse stream. - - This class: - 1. Tracks request level metrics for the response stream - 2. Handles errors in the router level code for the response stream - """ - - def __init__( - self, - metrics: Optional[Metrics] = None, - ): - self.metrics = metrics or Metrics() - - @InstrumentTokenAsyncGenerator("router_get_response_stream") - async def handle_failure( - self, - model: str, - async_iterator: AsyncGenerator[LLMRawResponse, None], - ): - req_id = get_serve_request_id() - context = { - "model_id": model, - } - - self.metrics.record_request(**context) - - is_first_token = True - try: - async for response in async_iterator: - # First, yield the streamed response back - yield response - - # Subsequently emit telemetry - if is_first_token: - self.metrics.record_input_tokens( - response.num_input_tokens, **context - ) - is_first_token = False - - self.metrics.record_streamed_response(response, **context) - - except asyncio.CancelledError: - # NOTE: We just log cancellation and re-throw it immediately to interrupt - # request handling - logger.warning(f"Request {req_id} has been cancelled") - raise - - except RayTaskError as rte: - if isinstance(rte.cause, TaskCancelledError): - # NOTE: In cases of user-originated cancellation Ray Serve proxy will cancel - # downstream tasks recursively (using `ray.cancel`) leading to streaming - # ops resulting in TaskCancelledError. - # - # From the application perspective this is no different from asyncio.CancelledError, - # therefore we just log cancellation and re-throw asyncio.CancelledError instead - # to facilitate proper clean up and avoid polluting our telemetry - logger.warning( - f"Request {req_id} has been cancelled (Ray streaming generator task cancelled)" - ) - raise asyncio.CancelledError() from rte - - yield get_response_for_error(rte, request_id=req_id) - - except Exception as e: - logger.error( - f"Failed while streaming back a response for request ({req_id}): {repr(e)}", - exc_info=e, - ) - - self.metrics.record_failure(**context) - - yield get_response_for_error(e, request_id=req_id) - # DO NOT RAISE. - # We do not raise here because that would cause a disconnection for streaming. diff --git a/python/ray/llm/_internal/serve/deployments/utils/metrics_utils.py b/python/ray/llm/_internal/serve/deployments/utils/metrics_utils.py deleted file mode 100644 index f567d739d4a4..000000000000 --- a/python/ray/llm/_internal/serve/deployments/utils/metrics_utils.py +++ /dev/null @@ -1,78 +0,0 @@ -from typing import Optional - -from ray.llm._internal.serve.configs.server_models import LLMRawResponse -from ray.util.metrics import Counter - -_MODEL_ID_TAG_KEY = "model_id" -_USER_ID_TAG_KEY = "user_id" - -_UNKNOWN_USER_ID_VAL = "unknown" - -_METRIC_TAG_KEYS = (_MODEL_ID_TAG_KEY, _USER_ID_TAG_KEY) - - -class Metrics: - def __init__(self): - self.requests_started = Counter( - "serve_llm_requests_started", - description="Number of requests started.", - tag_keys=_METRIC_TAG_KEYS, - ) - self.requests_finished = Counter( - "serve_llm_requests_finished", - description="Number of requests finished", - tag_keys=_METRIC_TAG_KEYS, - ) - self.requests_errored = Counter( - "serve_llm_requests_errored", - description="Number of requests errored", - tag_keys=_METRIC_TAG_KEYS, - ) - - self.tokens_generated = Counter( - "serve_llm_tokens_generated", - description="Number of tokens generated by RayLLM", - tag_keys=_METRIC_TAG_KEYS, - ) - self.tokens_input = Counter( - "serve_llm_tokens_input", - description="Number of tokens input by the user", - tag_keys=_METRIC_TAG_KEYS, - ) - - def record_request(self, *, model_id: str, user_id: str = _UNKNOWN_USER_ID_VAL): - self.requests_started.inc(tags=self._get_tags(model_id, user_id)) - - def record_input_tokens( - self, - input_tokens: Optional[int], - *, - model_id: str, - user_id: str = _UNKNOWN_USER_ID_VAL, - ): - if input_tokens: - self.tokens_input.inc(input_tokens, tags=self._get_tags(model_id, user_id)) - - def record_streamed_response( - self, res: LLMRawResponse, *, model_id: str, user_id: str = _UNKNOWN_USER_ID_VAL - ): - tags = self._get_tags(model_id, user_id) - - if res.num_generated_tokens: - self.tokens_generated.inc(res.num_generated_tokens, tags=tags) - - if res.error: - self.requests_errored.inc(tags=tags) - - if res.finish_reason is not None: - self.requests_finished.inc(tags=tags) - - def record_failure(self, *, model_id: str, user_id: str = _UNKNOWN_USER_ID_VAL): - self.requests_errored.inc(tags=self._get_tags(model_id, user_id)) - - @staticmethod - def _get_tags(model_id: str, user_id: str): - return { - _MODEL_ID_TAG_KEY: model_id, - _USER_ID_TAG_KEY: user_id, - } diff --git a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py index c1ba2edb005f..1dd8e7aa2279 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py @@ -143,7 +143,9 @@ def _initialize_local_node( if not isinstance(local_path, str) or not os.path.exists(local_path): logger.info(f"Downloading the tokenizer for {engine_config.actual_hf_model_id}") - _ = transformers.AutoTokenizer.from_pretrained( - engine_config.actual_hf_model_id, - trust_remote_code=engine_config.trust_remote_code, - ) + # TODO (Kourosh): commented out since for Mistral models that don't support + # tekken this code does not work (e.g. mistralai/Devstral-Small-2505) + # _ = transformers.AutoTokenizer.from_pretrained( + # engine_config.actual_hf_model_id, + # trust_remote_code=engine_config.trust_remote_code, + # ) diff --git a/python/ray/llm/_internal/serve/deployments/utils/server_utils.py b/python/ray/llm/_internal/serve/deployments/utils/server_utils.py index b54b4cb6d5b5..121b5ea68118 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/server_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/server_utils.py @@ -1,21 +1,16 @@ import asyncio -import base64 -import struct import traceback from functools import partial -from typing import Awaitable, Callable, List, TypeVar +from typing import Awaitable, Callable, TypeVar from fastapi import HTTPException, status from httpx import HTTPStatusError as HTTPXHTTPStatusError from pydantic import ValidationError as PydanticValidationError from ray import serve -from ray.llm._internal.serve.configs.openai_api_models import OpenAIHTTPException -from ray.llm._internal.serve.configs.openai_api_models_patch import ( +from ray.llm._internal.serve.configs.openai_api_models import ( ErrorResponse, -) -from ray.llm._internal.serve.configs.server_models import ( - LLMRawResponse, + OpenAIHTTPException, ) from ray.llm._internal.serve.observability.logging import get_logger @@ -78,7 +73,7 @@ def _extract_message(e): def get_response_for_error( e: Exception, request_id: str, -) -> LLMRawResponse: +) -> ErrorResponse: if isinstance(e, HTTPException): status_code = e.status_code elif isinstance(e, OpenAIHTTPException): @@ -116,13 +111,11 @@ def get_response_for_error( internal_message += f" (Request ID: {request_id})" error_response = ErrorResponse( - message=message, + message=f"Message: {message}, Internal exception: {internal_message}, original exception: {str(e)}", code=status_code, - internal_message=internal_message, type=exc_type, - original_exception=e, ) - return LLMRawResponse(error=error_response) + return error_response def get_serve_request_id() -> str: @@ -140,10 +133,3 @@ def get_model_request_id(model: str): def replace_prefix(model: str) -> str: """Replace -- with / in model name to handle slashes within the URL path segment""" return model.replace("--", "/") - - -def floats_to_base64(float_list: List[float]) -> str: - """Encode a list of floats as base64 as needed for the embedding API response.""" - binary = struct.pack(f"{len(float_list)}f", *float_list) - encoded = base64.b64encode(binary).decode("utf-8") - return encoded diff --git a/python/ray/llm/tests/serve/conftest.py b/python/ray/llm/tests/serve/conftest.py index 4ca469db2bea..047b497966d6 100644 --- a/python/ray/llm/tests/serve/conftest.py +++ b/python/ray/llm/tests/serve/conftest.py @@ -11,6 +11,11 @@ import ray from ray import serve +from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + CompletionRequest, + EmbeddingCompletionRequest, +) from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( VLLMEngineConfig, ) @@ -22,6 +27,8 @@ build_openai_app, ) +MOCK_MODEL_ID = "mock-model" + @pytest.fixture def disable_placement_bundles(): @@ -62,6 +69,50 @@ def llm_config(model_pixtral_12b, disable_placement_bundles): ) +@pytest.fixture +def mock_llm_config(): + """LLM config for mock engine testing.""" + return LLMConfig( + model_loading_config=ModelLoadingConfig(model_id="mock-model"), + runtime_env={}, + log_engine_metrics=False, + ) + + +@pytest.fixture +def mock_chat_request(stream, max_tokens): + """Fixture for creating chat completion requests for mock testing.""" + return ChatCompletionRequest( + model=MOCK_MODEL_ID, + messages=[{"role": "user", "content": "Hello, world!"}], + max_tokens=max_tokens, + stream=stream, + ) + + +@pytest.fixture +def mock_completion_request(stream, max_tokens): + """Fixture for creating text completion requests for mock testing.""" + return CompletionRequest( + model=MOCK_MODEL_ID, + prompt="Complete this text:", + max_tokens=max_tokens, + stream=stream, + ) + + +@pytest.fixture +def mock_embedding_request(dimensions): + """Fixture for creating embedding requests for mock testing.""" + request = EmbeddingCompletionRequest( + model=MOCK_MODEL_ID, + input="Text to embed", + ) + if dimensions: + request.dimensions = dimensions + return request + + def get_test_model_path(yaml_file: str) -> pathlib.Path: current_file_dir = pathlib.Path(__file__).absolute().parent test_model_path = current_file_dir / yaml_file diff --git a/python/ray/llm/tests/serve/cpu/config_generator/test_input_converter.py b/python/ray/llm/tests/serve/cpu/config_generator/test_input_converter.py index 6ceec9d15dc0..57b5f314454f 100644 --- a/python/ray/llm/tests/serve/cpu/config_generator/test_input_converter.py +++ b/python/ray/llm/tests/serve/cpu/config_generator/test_input_converter.py @@ -1,3 +1,4 @@ +import sys from typing import Optional import pytest @@ -50,3 +51,7 @@ def test_model( assert model.gpu_type.value == gpu_type.value assert model.tensor_parallelism == tensor_parallelism assert model.reference_model_id == reference_model_id + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/config_generator/test_text_completion.py b/python/ray/llm/tests/serve/cpu/config_generator/test_text_completion.py index d8464402fd19..f0f3aa1e8137 100644 --- a/python/ray/llm/tests/serve/cpu/config_generator/test_text_completion.py +++ b/python/ray/llm/tests/serve/cpu/config_generator/test_text_completion.py @@ -1,3 +1,4 @@ +import sys from typing import Any, Dict, Optional import pytest @@ -101,7 +102,7 @@ def test_populate_custom_model( model_config = populate_text_completion_model_config(input_model_config) self._assert_models(model_config, input_model_config) - serve_config = get_serve_config(input_model_config, "./file.yaml") + serve_config = get_serve_config("./file.yaml") assert len(serve_config["applications"][0]["args"]["llm_configs"]) == 1 def _assert_models( @@ -135,3 +136,7 @@ def _assert_models( .get("HF_TOKEN", None) == input_model_config.hf_token ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/configs/test_json_mode_utils.py b/python/ray/llm/tests/serve/cpu/configs/test_json_mode_utils.py deleted file mode 100644 index 8c210d6da69c..000000000000 --- a/python/ray/llm/tests/serve/cpu/configs/test_json_mode_utils.py +++ /dev/null @@ -1,92 +0,0 @@ -import pytest - -from ray.llm._internal.serve.configs.json_mode_utils import ( - INVALID_JSON_REFERENCES, - INVALID_RESPONSE_FORMAT_SCHEMA, - JSONSchemaValidator, -) -from ray.llm._internal.serve.configs.openai_api_models import OpenAIHTTPException - - -def test_singleton_pattern(): - """Test that JSONSchemaValidator follows singleton pattern.""" - validator1 = JSONSchemaValidator() - validator2 = JSONSchemaValidator() - assert validator1 is validator2 - assert validator1._validator is validator2._validator - - -def test_validator_initialization(): - """Test that validator is initialized correctly.""" - validator = JSONSchemaValidator() - assert validator._validator is not None - # Test that accessing property works - assert validator.strict_validator is validator._validator - - -def test_validate_valid_schema(): - """Test validation of a valid JSON schema.""" - validator = JSONSchemaValidator() - valid_schema = { - "type": "object", - "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, - "required": ["name"], - } - # Should not raise any exceptions - result = validator.try_load_json_schema(valid_schema) - assert result == valid_schema - - -def test_validate_invalid_schema(): - """Test validation of an invalid JSON schema.""" - validator = JSONSchemaValidator() - invalid_schema = {"type": "invalid_type", "properties": "not_an_object"} - with pytest.raises(OpenAIHTTPException) as exc_info: - validator.try_load_json_schema(invalid_schema) - assert exc_info.value.type == INVALID_RESPONSE_FORMAT_SCHEMA - - -def test_dereference_json(): - """Test JSON dereferencing functionality.""" - validator = JSONSchemaValidator() - schema_with_refs = { - "$defs": { - "address": {"type": "object", "properties": {"street": {"type": "string"}}} - }, - "type": "object", - "properties": {"home": {"$ref": "#/$defs/address"}}, - } - result = validator._dereference_json(schema_with_refs) - # Check that $defs was removed - assert "$defs" not in result - # Check that reference was resolved - assert result["properties"]["home"]["type"] == "object" - assert result["properties"]["home"]["properties"]["street"]["type"] == "string" - - -def test_invalid_references(): - """Test handling of invalid JSON references.""" - validator = JSONSchemaValidator() - schema_with_bad_ref = { - "type": "object", - "properties": {"bad": {"$ref": "#/nonexistent"}}, - } - with pytest.raises(OpenAIHTTPException) as exc_info: - validator._dereference_json(schema_with_bad_ref) - assert exc_info.value.type == INVALID_JSON_REFERENCES - - -def test_none_schema(): - """Test handling of None schema.""" - validator = JSONSchemaValidator() - result = validator.try_load_json_schema(None) - assert result == {} - - -def test_string_schema(): - """Test handling of schema passed as JSON string.""" - validator = JSONSchemaValidator() - schema_str = '{"type": "object", "properties": {"name": {"type": "string"}}}' - result = validator.try_load_json_schema(schema_str) - assert isinstance(result, dict) - assert result["type"] == "object" diff --git a/python/ray/llm/tests/serve/cpu/configs/test_openai_api_models.py b/python/ray/llm/tests/serve/cpu/configs/test_openai_api_models.py deleted file mode 100644 index ff92ecea0a7b..000000000000 --- a/python/ray/llm/tests/serve/cpu/configs/test_openai_api_models.py +++ /dev/null @@ -1,29 +0,0 @@ -from ray.llm._internal.serve.configs.openai_api_models import DeltaMessage - - -def test_delta_message_null_content(): - """Test that the DeltaMessage class is correctly constructed. - - When the content is passed as None, it should be set to an empty string. - """ - role = "user" - delta_message_implicitly_null_content = DeltaMessage( - role=role, - ) - - delta_message_explicitly_null_content = DeltaMessage( - role=role, - content=None, - ) - - delta_message_empty_string_content = DeltaMessage( - role=role, - content="", - ) - - assert delta_message_implicitly_null_content.role == role - assert delta_message_explicitly_null_content.role == role - assert delta_message_empty_string_content.role == role - assert delta_message_implicitly_null_content.content == "" - assert delta_message_explicitly_null_content.content == "" - assert delta_message_empty_string_content.content == "" diff --git a/python/ray/llm/tests/serve/cpu/configs/test_prompt_formats.py b/python/ray/llm/tests/serve/cpu/configs/test_prompt_formats.py deleted file mode 100644 index e120d7c1f5f5..000000000000 --- a/python/ray/llm/tests/serve/cpu/configs/test_prompt_formats.py +++ /dev/null @@ -1,83 +0,0 @@ -import sys - -import pytest -from pydantic import ValidationError - -from ray.llm._internal.serve.configs.prompt_formats import ( - Image, - Message, - Prompt, - Text, -) - - -def test_validation_message(): - # check that message with assistant role can have content that - # is a string or none, but nothing else - Message.model_validate({"role": "assistant", "content": "Hello, World!"}) - - Message.model_validate({"role": "assistant", "content": ""}) - - Message.model_validate({"role": "assistant", "content": None}) - - with pytest.raises(ValueError): - Message.model_validate( - { - "role": "assistant", - "content": { - "NOT_VALID", - }, - } - ) - - # Test system and user roles - for role in ["system", "user"]: - # this should pass - Message.model_validate({"role": role, "content": "Hello, World!"}) - - Message.model_validate({"role": role, "content": ""}) - - # a non string content should raise an error - - with pytest.raises(ValueError): - Message.model_validate( - { - "role": role, - "content": { - "NOT_VALID", - }, - } - ) - - with pytest.raises(ValueError): - Message.model_validate({"role": role, "content": None}) - - # test message with image. - Message( - role="user", - content=[ - Text(type="text", text="This is a test."), - Image(type="image_url", image_url={"url": "foo"}), - ], - ) - - -def test_prompt_validation(): - # Test valid prompt creation - Prompt(prompt="This is a test message.") - - Prompt( - prompt=[ - Message(role="system", content="You are a helpful assistant."), - Message(role="user", content="Hello!"), - ] - ) - - # Test invalid prompt creation - with pytest.raises(ValidationError): - # Empty list should raise error - Prompt(prompt=[]) - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/configs/test_server_models.py b/python/ray/llm/tests/serve/cpu/configs/test_server_models.py deleted file mode 100644 index a885a88e2b11..000000000000 --- a/python/ray/llm/tests/serve/cpu/configs/test_server_models.py +++ /dev/null @@ -1,96 +0,0 @@ -import sys - -import pytest - -from ray.llm._internal.serve.configs.prompt_formats import Prompt -from ray.llm._internal.serve.configs.server_models import SamplingParams - - -class TestSamplingParams: - def test_default_initialization(self): - """Test that SamplingParams can be initialized with default values.""" - params = SamplingParams() - - assert params.max_tokens is None - assert params.temperature is None - assert params.top_p is None - assert params.n == 1 - assert params.logprobs is None - assert params.top_logprobs is None - assert params.logit_bias is None - assert params.stop is None - assert params.stop_tokens is None - assert params.ignore_eos is None - assert params.presence_penalty is None - assert params.frequency_penalty is None - assert params.best_of == 1 - assert params.response_format is None - - def test_initialization_with_values(self): - """Test that SamplingParams can be initialized with specific values.""" - params = SamplingParams( - max_tokens=100, - temperature=0.7, - top_p=0.9, - n=2, - logprobs=True, - top_logprobs=5, - stop=["END", "STOP"], - stop_tokens=[1, 2, 3], - presence_penalty=0.5, - frequency_penalty=0.3, - best_of=3, - ) - - assert params.max_tokens == 100 - assert params.temperature == 0.7 - assert params.top_p == 0.9 - assert params.n == 2 - assert params.logprobs is True - assert params.top_logprobs == 5 - assert params.stop == ["END", "STOP"] - assert params.stop_tokens == [1, 2, 3] - assert params.presence_penalty == 0.5 - assert params.frequency_penalty == 0.3 - assert params.best_of == 3 - - def test_stop_valid_sequences(self): - """Test that valid stop sequences are processed correctly.""" - stop_sequences = ["END", "STOP", "FINISH", "END"] - params = SamplingParams(stop=stop_sequences) - assert params.stop == ["END", "FINISH", "STOP"] # Should be unique - - def test_idempotency(self): - params = SamplingParams() - new_params = SamplingParams.model_validate(params.model_dump()) - assert params.model_dump() == new_params.model_dump() - - @pytest.mark.parametrize( - "stop, stop_tokens", - [ - (["B-END", "A-End"], None), - (["B-END", "A-End"], []), - (None, [100, 50]), - (None, None), - ], - ) - def test_from_prompt_with_dict_parameters(self, stop, stop_tokens): - """Test from_prompt method with dictionary parameters.""" - prompt = Prompt( - prompt="Test prompt", - parameters={ - "stop": stop, - "stop_tokens": stop_tokens, - }, - ) - - params = SamplingParams.from_prompt(prompt) - - assert params.stop == (sorted(stop) if stop is not None else None) - assert params.stop_tokens == ( - sorted(stop_tokens) if stop_tokens is not None else None - ) - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_deployment_base_client.py b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_deployment_base_client.py index 282130cefa20..7c806cade746 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_deployment_base_client.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_deployment_base_client.py @@ -6,9 +6,9 @@ from fastapi import HTTPException from ray import serve -from ray.llm._internal.serve.configs.server_models import ModelData +from ray.llm._internal.serve.configs.openai_api_models import ModelCard from ray.llm._internal.serve.deployments.llm.llm_server import LLMDeployment -from ray.llm.tests.serve.mocks.mock_vllm_engine import MockEchoVLLMEngine +from ray.llm.tests.serve.mocks.mock_vllm_engine import MockVLLMEngine from ray.serve.handle import DeploymentHandle from ray.serve.llm import LLMConfig, LLMRouter, LoraConfig @@ -57,7 +57,7 @@ def get_mocked_llm_deployments(llm_configs) -> List[DeploymentHandle]: llm_deployments.append( deployment.bind( llm_config=llm_config, - engine_cls=MockEchoVLLMEngine, + engine_cls=MockVLLMEngine, ) ) return llm_deployments @@ -97,10 +97,10 @@ async def test_lora_get_model(shutdown_ray_and_serve, disable_placement_bundles) # Case 2: Model has only the base model config. base_model_config = await router_handle.model.remote(base_model_id) - assert isinstance(base_model_config, ModelData) + assert isinstance(base_model_config, ModelCard) base_model_data = base_model_config.model_dump() assert base_model_data["id"] == base_model_id - base_model_config = base_model_data["rayllm_metadata"] + base_model_config = base_model_data["metadata"] # Case 3: model has a multiplex config in the cloud. llm_config = VLLM_APP.model_copy(deep=True) @@ -122,10 +122,10 @@ async def fake_get_lora_model_metadata(*args, **kwargs): router_handle = serve.run(router_deployment) lora_model_config = await router_handle.model.remote(lora_model) - assert isinstance(lora_model_config, ModelData) + assert isinstance(lora_model_config, ModelCard) lora_model_data = lora_model_config.model_dump() assert lora_model_data["id"] == lora_model - lora_metadata = lora_model_data["rayllm_metadata"] + lora_metadata = lora_model_data["metadata"] assert lora_metadata["model_id"] == lora_model assert lora_metadata["base_model_id"] == base_model_id assert lora_metadata["max_request_context_length"] == 4096 diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py deleted file mode 100644 index ee395cd564c6..000000000000 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_deployment.py +++ /dev/null @@ -1,82 +0,0 @@ -import sys - -import pytest - -from ray import serve -from ray.llm._internal.serve.configs.prompt_formats import ( - Prompt, -) -from ray.llm._internal.serve.configs.server_models import ( - LLMConfig, -) -from ray.llm._internal.serve.deployments.llm.llm_server import LLMDeployment -from ray.llm.tests.serve.mocks.mock_vllm_engine import ( - FakeLoraModelLoader, - MockMultiplexEngine, -) - - -@pytest.fixture(name="handle") -def handle(shutdown_ray_and_serve): - - llm_config = LLMConfig( - model_loading_config={ - "model_id": "meta-llama/Llama-2-7b-hf", - }, - lora_config={ - "max_num_adapters_per_replica": 16, - "dynamic_lora_loading_path": "s3://my/s3/path_here", - }, - ) - - handle = serve.run( - LLMDeployment.options(placement_group_bundles=[{"CPU": 1}],).bind( - llm_config, - engine_cls=MockMultiplexEngine, - model_downloader=FakeLoraModelLoader, - ), - ) - - return handle - - -@pytest.mark.asyncio -@pytest.mark.parametrize("stream_tokens", [True, False]) -@pytest.mark.parametrize("multiplexed_model_id", ["test_model", None]) -async def test_multiplex_deployment( - handle, - stream_tokens: bool, - multiplexed_model_id: str, -): - - gen = handle.options( - stream=True, multiplexed_model_id=multiplexed_model_id - )._predict.remote( - "req_id", - Prompt(prompt="Generate some sql please.", use_prompt_format=False), - stream=stream_tokens, - ) - - # gen is an async generator - # we need to convert it to a list of outputs in one line - outputs = [] - async for x in gen: - outputs.append(x) - - assert len(outputs) == 1 - output = outputs[0] - - assert output.stream == stream_tokens - - if multiplexed_model_id is None: - assert output.disk_multiplex_config is None - else: - out_mx_config = output.disk_multiplex_config.model_dump() - assert out_mx_config["model_id"] == multiplexed_model_id - assert out_mx_config["local_path"] == "/fake/local/path" - # random int between 1 and 100 - assert 0 < out_mx_config["lora_assigned_int_id"] < 101 - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py new file mode 100644 index 000000000000..ef3603cfde2a --- /dev/null +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py @@ -0,0 +1,83 @@ +"""This tests the LLM engine by testing the mocked implementations directly. + +This implicitly tests the consistency of the engine API through time. +Also tests that our Mock is behaving as expected to ensure that the downstream tests using Mocks are correct from Mock implementation perspective. + + +We have the following Mock: + +- An engine that returns a string of form "test_i" for i in range(max_tokens) +""" + +from typing import Optional + +import pytest + +from ray.llm.tests.serve.mocks.mock_vllm_engine import MockVLLMEngine +from ray.llm.tests.serve.utils.testing_utils import LLMResponseValidator + + +class TestMockLLMEngine: + @pytest.mark.parametrize("api_type", ["chat", "completion"]) + @pytest.mark.parametrize("stream", [False, True]) + @pytest.mark.parametrize("max_tokens", [5]) + @pytest.mark.asyncio + async def test_unified_llm_engine( + self, + mock_llm_config, + mock_chat_request, + mock_completion_request, + api_type: str, + stream: bool, + max_tokens: int, + ): + """Unified test for both chat and completion APIs, streaming and non-streaming.""" + # Create and start the engine + engine = MockVLLMEngine(mock_llm_config) + await engine.start() + + # Create request based on API type + if api_type == "chat": + request = mock_chat_request + response_generator = engine.chat(request) + elif api_type == "completion": + request = mock_completion_request + response_generator = engine.completions(request) + + print( + f"\n\n_____ {api_type.upper()} ({'STREAMING' if stream else 'NON-STREAMING'}) max_tokens={max_tokens} _____\n\n" + ) + + if stream: + # Collect streaming chunks + chunks = [] + async for chunk in response_generator: + assert isinstance(chunk, str) + chunks.append(chunk) + + # Validate streaming response + LLMResponseValidator.validate_streaming_chunks(chunks, api_type, max_tokens) + else: + # Validate non-streaming response + async for response in response_generator: + LLMResponseValidator.validate_non_streaming_response( + response, api_type, max_tokens + ) + + @pytest.mark.parametrize("dimensions", [None, 512]) + @pytest.mark.asyncio + async def test_embedding_mock_engine( + self, mock_llm_config, mock_embedding_request, dimensions: Optional[int] + ): + """Test embedding API with different dimensions.""" + # Create and start the engine + engine = MockVLLMEngine(mock_llm_config) + await engine.start() + + # Create embedding request + request = mock_embedding_request + + print(f"\n\n_____ EMBEDDING dimensions={dimensions} _____\n\n") + + async for response in engine.embeddings(request): + LLMResponseValidator.validate_embedding_response(response, dimensions) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index 146aa7f96d8e..ebca54b07c4c 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -1,427 +1,267 @@ import sys -from unittest.mock import AsyncMock +from typing import Optional +from unittest.mock import patch import pytest -from ray.llm._internal.serve.configs.constants import MODEL_RESPONSE_BATCH_TIMEOUT_MS -from ray.llm._internal.serve.configs.openai_api_models import ( - ChatCompletionRequest, - CompletionRequest, - ErrorResponse, +from ray import serve +from ray.llm._internal.serve.configs.server_models import LoraConfig +from ray.llm._internal.serve.deployments.llm.llm_server import LLMServer +from ray.llm.tests.serve.mocks.mock_vllm_engine import ( + FakeLoraModelLoader, + MockVLLMEngine, ) -from ray.llm._internal.serve.configs.server_models import ( - FinishReason, - LLMConfig, - LLMRawResponse, - ModelLoadingConfig, -) -from ray.llm._internal.serve.deployments.llm.llm_server import ( - ResponsePostprocessor, -) -from ray.llm.tests.serve.mocks.mock_vllm_engine import MockVLLMEngine - - -async def stream_generator(): - yield LLMRawResponse( - generated_text="Hello", - num_generated_tokens=1, - num_generated_tokens_batch=1, - num_input_tokens=5, - finish_reason=None, +from ray.llm.tests.serve.utils.testing_utils import LLMResponseValidator + + +@pytest.fixture +def serve_handle(mock_llm_config, stream_batching_interval_ms=0): + mock_llm_config.experimental_configs = { + "stream_batching_interval_ms": stream_batching_interval_ms, + } + + app = serve.deployment(LLMServer).bind(mock_llm_config, engine_cls=MockVLLMEngine) + handle = serve.run(app) + # We set stream=True because the interfaces are async generators regardless + # of the stream flag on request. + handle = handle.options(stream=True) + yield handle + serve.shutdown() + + +@pytest.fixture +def multiplexed_serve_handle(mock_llm_config, stream_batching_interval_ms=0): + mock_llm_config.experimental_configs = { + "stream_batching_interval_ms": stream_batching_interval_ms, + } + mock_llm_config.lora_config = LoraConfig( + dynamic_lora_loading_path="s3://my/s3/path_here", + download_timeout_s=60, + max_download_tries=3, ) - yield LLMRawResponse( - generated_text=" world", - num_generated_tokens=1, - num_generated_tokens_batch=1, - num_input_tokens=5, - finish_reason=FinishReason.STOP, + app = serve.deployment(LLMServer).bind( + mock_llm_config, + engine_cls=MockVLLMEngine, + model_downloader=FakeLoraModelLoader, ) - - -class TestResponsePostprocessor: - @pytest.mark.asyncio - async def test_process_chat_streaming(self): - """Test processing streaming chat responses.""" - postprocessor = ResponsePostprocessor() - model = "test_model" - - # Process the generator as a streaming chat response - response_gen = postprocessor.process_chat( - model, stream_generator(), stream=True - ) - - # Collect all responses - responses = [resp async for resp in response_gen] - - # Verify we got the expected responses - assert len(responses) >= 3 # Role message + content chunks + final message - assert ( - responses[0].choices[0].delta.role == "assistant" - ) # First message has role - assert ( - responses[1].choices[0].delta.content == "Hello" - ) # Second has first chunk - assert ( - responses[-1].choices[0].finish_reason == "stop" - ) # Last has finish reason - - @pytest.mark.asyncio - async def test_process_chat_non_streaming(self): - """Test processing non-streaming chat responses.""" - postprocessor = ResponsePostprocessor() - model = "test_model" - - # Process the generator as a non-streaming chat response - response_gen = postprocessor.process_chat( - model, stream_generator(), stream=False - ) - - # Collect the single response - responses = [resp async for resp in response_gen] - assert len(responses) == 1 - - # Verify the content of the response - response = responses[0] - assert response.choices[0].message.role == "assistant" - assert response.choices[0].message.content == "Hello world" - assert response.choices[0].finish_reason == "stop" - assert response.usage.prompt_tokens == 5 - assert response.usage.completion_tokens == 2 - assert response.usage.total_tokens == 7 - - @pytest.mark.asyncio - async def test_process_completions_streaming(self): - """Test processing streaming completion responses.""" - postprocessor = ResponsePostprocessor() - model = "test_model" - - # Process the generator as a streaming completion response - response_gen = postprocessor.process_completions( - model, stream_generator(), stream=True - ) - - # Collect all responses - responses = [resp async for resp in response_gen] - - # Verify we got the expected responses - assert len(responses) == 2 - assert responses[0].choices[0].text == "Hello" - assert responses[0].choices[0].finish_reason is None - assert responses[1].choices[0].text == " world" - assert responses[1].choices[0].finish_reason == "stop" - - @pytest.mark.asyncio - async def test_process_completions_non_streaming(self): - """Test processing non-streaming completion responses.""" - postprocessor = ResponsePostprocessor() - model = "test_model" - - # Process the generator as a non-streaming completion response - response_gen = postprocessor.process_completions( - model, stream_generator(), stream=False - ) - - # Collect the single response - responses = [resp async for resp in response_gen] - assert len(responses) == 1 - - # Verify the content of the response - response = responses[0] - assert response.choices[0].text == "Hello world" - assert response.choices[0].finish_reason == "stop" - assert response.usage.prompt_tokens == 5 - assert response.usage.completion_tokens == 2 - assert response.usage.total_tokens == 7 - - @pytest.mark.asyncio - async def test_error_handling(self): - """Test error handling in response streams.""" - postprocessor = ResponsePostprocessor() - model = "test_model" - - # Create a generator that raises an exception - - error_response = ErrorResponse( - message="Test error", - code=500, - internal_message="Test error", - type="Test error", - original_exception=Exception("Test error"), - ) - - async def gen(): - yield LLMRawResponse( - error=error_response, - ) - yield LLMRawResponse( - generated_text="Hello", - num_generated_tokens=1, - num_generated_tokens_batch=1, - num_input_tokens=5, - finish_reason=None, - ) - - # Process the generator as a non-streaming chat response - response_gen = postprocessor.process_chat(model, gen(), stream=False) - - # Collect the responses, should contain the error - responses = [resp async for resp in response_gen] - assert len(responses) == 1 - assert responses[0] == error_response + handle = serve.run(app) + handle = handle.options(stream=True, multiplexed_model_id="test_model_id") + yield handle + serve.shutdown() class TestLLMServer: + @pytest.mark.parametrize("api_type", ["chat", "completion"]) + @pytest.mark.parametrize("stream", [False, True]) + @pytest.mark.parametrize("max_tokens", [5]) + @pytest.mark.parametrize("stream_batching_interval_ms", [0, 10000]) @pytest.mark.asyncio - async def test_get_batch_interval_ms(self, create_server): - """Test that the batch interval is set correctly in the config.""" - - # Test with a no stream_batching_interval_ms. - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="llm_model_id", - ), - ) - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - - assert server._get_batch_interval_ms() == MODEL_RESPONSE_BATCH_TIMEOUT_MS - - # Test with a non-zero stream_batching_interval_ms. - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="llm_model_id", - ), - experimental_configs={ - "stream_batching_interval_ms": 13, - }, - ) - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - assert server._get_batch_interval_ms() == 13 - - # Test with zero stream_batching_interval_ms. - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="llm_model_id", - ), - experimental_configs={ - "stream_batching_interval_ms": 0, - }, - ) - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - assert server._get_batch_interval_ms() == 0 - - @pytest.mark.asyncio - async def test_chat_streaming(self, create_server): - """Test chat completion in streaming mode.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - experimental_configs={ - # Maximum batching - "stream_batching_interval_ms": 10000, - }, + async def test_unified_llm_server( + self, + serve_handle, + mock_llm_config, + mock_chat_request, + mock_completion_request, + api_type: str, + stream: bool, + max_tokens: int, + stream_batching_interval_ms: int, + ): + """Unified test for both chat and completion APIs, streaming and non-streaming.""" + + # Create request based on API type + if api_type == "chat": + request = mock_chat_request + batched_chunks = serve_handle.chat.remote(request) + elif api_type == "completion": + request = mock_completion_request + batched_chunks = serve_handle.completions.remote(request) + + print( + f"\n\n_____ {api_type.upper()} ({'STREAMING' if stream else 'NON-STREAMING'}) max_tokens={max_tokens} batching_interval_ms={stream_batching_interval_ms} _____\n\n" ) - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - - # Create a chat completion request - request = ChatCompletionRequest( - model="test_model", - messages=[dict(role="user", content="Hello")], - stream=True, - max_tokens=5, - ) - - # Get the response stream - response_stream = await server.chat(request) - - # Collect responses from the stream - responses = [] - async for response in response_stream: - responses.append(response) - - # Each response should be an iterator over ChatCompletionStreamResponse - # Check that we got responses - assert len(responses) > 0 - - text = "" - role = None - for response in responses: - assert isinstance(response, list) - for chunk in response: - if chunk.choices[0].delta.role is not None and role is None: - role = chunk.choices[0].delta.role - - text += chunk.choices[0].delta.content - - assert role == "assistant" - # What mock vllm engine returns - assert text == "test_0 test_1 test_2 test_3 test_4 " + if stream: + # Collect responses from the stream + chunks = [] + async for batch in batched_chunks: + chunks.extend(batch) + + # Check that we got responses + assert len(chunks) > 0 + + # Validate streaming response + LLMResponseValidator.validate_streaming_chunks(chunks, api_type, max_tokens) + else: + # Collect non-streaming response + chunks = [] + async for batch in batched_chunks: + chunks.append(batch) + + # Check that we got one response + assert len(chunks) == 1 + + # Validate non-streaming response + LLMResponseValidator.validate_non_streaming_response( + chunks[0], api_type, max_tokens + ) + @pytest.mark.parametrize("dimensions", [None, 512]) @pytest.mark.asyncio - async def test_chat_non_streaming(self, create_server): - """Test non-streaming chat completion.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - ) + async def test_embedding_llm_server( + self, + serve_handle, + mock_llm_config, + mock_embedding_request, + dimensions: Optional[int], + ): + """Test embedding API from LLMServer perspective.""" - server = await create_server(llm_config, engine_cls=MockVLLMEngine) + # Create embedding request + request = mock_embedding_request - # Create a chat completion request - request = ChatCompletionRequest( - model="test_model", - messages=[dict(role="user", content="Hello")], - stream=False, - max_tokens=5, - ) + print(f"\n\n_____ EMBEDDING SERVER dimensions={dimensions} _____\n\n") # Get the response - response_stream = await server.chat(request) + batched_chunks = serve_handle.embeddings.remote(request) # Collect responses (should be just one) - responses = [] - async for response in response_stream: - responses.append(response) + chunks = [] + async for batch in batched_chunks: + chunks.append(batch) # Check that we got one response - assert len(responses) == 1 - assert responses[0].choices[0].message.role == "assistant" - assert ( - responses[0].choices[0].message.content - == "test_0 test_1 test_2 test_3 test_4 " - ) - assert responses[0].choices[0].finish_reason == "stop" - - @pytest.mark.asyncio - async def test_completions_streaming(self, create_server): - """Test streaming text completion.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - experimental_configs={ - # Maximum batching - "stream_batching_interval_ms": 10000, - }, - ) - - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - - # Create a completion request - request = CompletionRequest( - model="test_model", - prompt="Hello", - stream=True, - max_tokens=5, - ) - - # Get the response stream - response_stream = await server.completions(request) - - # Collect responses from the stream - responses = [] - async for response in response_stream: - responses.append(response) + assert len(chunks) == 1 - # Check that we got responses - assert len(responses) > 0 - - text = "" - for response in responses: - assert isinstance(response, list) - for chunk in response: - text += chunk.choices[0].text - - assert text == "test_0 test_1 test_2 test_3 test_4 " + # Validate embedding response + LLMResponseValidator.validate_embedding_response(chunks[0], dimensions) @pytest.mark.asyncio - async def test_completions_non_streaming(self, create_server): - """Test non-streaming text completion.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - ) - - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - - # Create a completion request - request = CompletionRequest( - model="test_model", - prompt="Hello", - stream=False, - max_tokens=5, - ) - - # Get the response - response_stream = await server.completions(request) + async def test_check_health(self, create_server, mock_llm_config): + """Test health check functionality.""" - # Collect responses (should be just one) - responses = [] - async for response in response_stream: - responses.append(response) + # Mock the engine's check_health method + class LocalMockEngine(MockVLLMEngine): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.check_health_called = False - # Check that we got one response - assert len(responses) == 1 - assert responses[0].choices[0].text == "test_0 test_1 test_2 test_3 test_4 " - assert responses[0].choices[0].finish_reason == "stop" - - @pytest.mark.asyncio - async def test_check_health(self, create_server): - """Test health check functionality.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - ) + async def check_health(self): + self.check_health_called = True # Create a server with a mocked engine - server = await create_server(llm_config, engine_cls=MockVLLMEngine) - - # Mock the engine's check_health method - server.engine.check_health = AsyncMock(return_value=None) + server = await create_server(mock_llm_config, engine_cls=LocalMockEngine) # Perform the health check, no exceptions should be raised await server.check_health() - server.engine.check_health.assert_called_once() - - @pytest.mark.asyncio - async def test_error_handling(self, create_server): - """Test error handling in the server.""" - llm_config = LLMConfig( - model_loading_config=ModelLoadingConfig( - model_id="test_model", - ), - ) - server = await create_server(llm_config, engine_cls=MockVLLMEngine) + # Check that the health check method was called + assert server.engine.check_health_called - # Mock the _predict method to raise an exception - server._predict = AsyncMock(side_effect=Exception("Test error")) + @pytest.mark.asyncio + async def test_llm_config_property(self, create_server, mock_llm_config): + """Test the llm_config property.""" + server = await create_server(mock_llm_config, engine_cls=MockVLLMEngine) + llm_config = await server.llm_config() + assert isinstance(llm_config, type(mock_llm_config)) + + @pytest.mark.parametrize("stream", [False]) + @pytest.mark.parametrize("max_tokens", [5]) + @pytest.mark.asyncio + async def test_request_id_handling( + self, + serve_handle, + mock_llm_config, + mock_chat_request, + stream: bool, + max_tokens: int, + ): + """Test that the request id is handled correctly.""" # Create a chat completion request - request = ChatCompletionRequest( - model="test_model", - messages=[dict(role="user", content="Hello")], - stream=False, + # We should patch get_server_request_id to return a test_request_id + serve.context._serve_request_context.set( + serve.context._RequestContext(**{"request_id": "test_request_id"}) ) - # Get the response - response_stream = await server.chat(request) + chunks = [] + async for chunk in serve_handle.chat.remote(mock_chat_request): + chunks.append(chunk) - # Collect responses (should contain an error) - responses = [] - async for response in response_stream: - responses.append(response) + assert len(chunks) == 1 + assert chunks[0].id == "test_request_id" - # Check that we got an error response - assert len(responses) > 0 - assert isinstance(responses[0], ErrorResponse) + @pytest.mark.parametrize("api_type", ["chat", "completion"]) + @pytest.mark.parametrize("stream", [False, True]) + @pytest.mark.parametrize("max_tokens", [5]) + @pytest.mark.parametrize("stream_batching_interval_ms", [0, 10000]) + @pytest.mark.asyncio + async def test_multiplexed_request_handling( + self, + multiplexed_serve_handle, + mock_chat_request, + mock_completion_request, + api_type: str, + stream: bool, + max_tokens: int, + stream_batching_interval_ms: int, + ): + """Unified test for multiplexed (LoRA) requests - both chat and completion APIs, streaming and non-streaming.""" + + # Create request based on API type and set model ID for multiplexing + if api_type == "chat": + request = mock_chat_request + batched_chunks = multiplexed_serve_handle.chat.remote(request) + elif api_type == "completion": + request = mock_completion_request + batched_chunks = multiplexed_serve_handle.completions.remote(request) + + request.model = "test_model_id" + print( + f"\n\n_____ MULTIPLEXED {api_type.upper()} ({'STREAMING' if stream else 'NON-STREAMING'}) max_tokens={max_tokens} batching_interval_ms={stream_batching_interval_ms} _____\n\n" + ) - # Internal server error - assert responses[0].code == 500 + if stream: + # Collect responses from the stream + chunks = [] + async for batch in batched_chunks: + if isinstance(batch, list): + chunks.extend(batch) + else: + chunks.append(batch) + + # Check that we got responses + assert len(chunks) > 0 + + # Validate streaming response with LoRA model ID + LLMResponseValidator.validate_streaming_chunks( + chunks, api_type, max_tokens, lora_model_id=request.model + ) + else: + # Collect non-streaming response + chunks = [] + async for batch in batched_chunks: + if isinstance(batch, list): + chunks.extend(batch) + else: + chunks.append(batch) + + # Check that we got one response + assert len(chunks) == 1 + + # Validate non-streaming response with LoRA model ID + LLMResponseValidator.validate_non_streaming_response( + chunks[0], api_type, max_tokens, lora_model_id=request.model + ) + + @pytest.mark.asyncio + async def test_push_telemetry(self, create_server, mock_llm_config): + """Test that the telemetry push is called properly.""" + with patch( + "ray.llm._internal.serve.deployments.llm.llm_server.push_telemetry_report_for_all_models" + ) as mock_push_telemetry: + await create_server(mock_llm_config, engine_cls=MockVLLMEngine) + mock_push_telemetry.assert_called_once() if __name__ == "__main__": diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py deleted file mode 100644 index 57cd19f20283..000000000000 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/test_vllm_engine.py +++ /dev/null @@ -1,199 +0,0 @@ -import asyncio -import json -import sys -from types import SimpleNamespace -from typing import List -from unittest.mock import Mock - -import pytest - -from ray.llm._internal.serve.configs.server_models import ( - FinishReason, - LLMConfig, -) -from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import ( - VLLMEngine, -) -from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - VLLMGenerationRequest, - VLLMSamplingParams, -) - - -class FakeVLLMEngine: - def __init__(self, mock: Mock, output=None): - self._engine_client = mock - - self._output = output or [] - self.num_generated = 0 - - async def generate(self, *args, **kwargs): - # Record the call - self._engine_client.generate(*args, **kwargs) - - for x in self._output: - await asyncio.sleep(0.01) - self.num_generated += 1 - yield x - - async def abort(self, request_id: str): - # Record the call - self._engine_client.abort(request_id) - - def _abort(self, request_id: str, **kwargs): - # Record the call - self._engine_client.abort(request_id) - - -def get_fake_responses(*tokens: List[str]): - total = "" - output = [] - - for token in tokens: - total += token - # For some reason vLLM appears to return the full text on each iteration - # We should fix this in vllm - output.append( - SimpleNamespace( - outputs=[ - SimpleNamespace( - text=total, - finish_reason="stop", # for some reason, vllm returns a finish reason on all tokens. We should fix this too. - token_ids=[0], - logprobs=[], - ) - ], - prompt_token_ids=[0], - metrics=SimpleNamespace(time_in_queue=0.01), - ) - ) - - return output - - -def get_fake_engine_and_request(llm_config: LLMConfig, expected_out: List[str]): - vllm_engine = VLLMEngine(llm_config) - # We normally set the model config when calling VLLMEngine.start() - vllm_engine.model_config = Mock() - vllm_engine.model_config.max_model_len = 1 - - engine_mock = Mock() - vllm_engine._engine_client = FakeVLLMEngine( - engine_mock, get_fake_responses(*expected_out) - ) - - req = VLLMGenerationRequest( - prompt="prompt", - request_id="req_id", - sampling_params=VLLMSamplingParams(), - disk_multiplex_config=None, - stream=True, - ) - return vllm_engine, req, engine_mock - - -class TestVLLMEngine: - """Test the VLLMEngine.""" - - @pytest.mark.asyncio - async def test_generate(self, llm_config): - expected_out = ["hi ", "i ", "am ", "vllm."] - vllm_engine, req, engine_mock = get_fake_engine_and_request( - llm_config, expected_out - ) - - cur_idx = 0 - async for x in vllm_engine.generate(req): - if cur_idx < len(expected_out): - assert x.generated_text == expected_out[cur_idx] - cur_idx += 1 - assert x.generation_time == pytest.approx( - 0.01, abs=0.01 - ), "We are sleeping for this long before returning tokens in the fake" - assert ( - x.num_input_tokens == 1 - ), "We are setting the num input tokens to len 1 in the fake output" - else: - assert x.finish_reason == FinishReason.STOP - - await asyncio.sleep(0.02) # wait for asyncio task scheduling - - # Abort should be called - engine_mock.abort.assert_called_once_with("req_id") - - @pytest.mark.asyncio - async def test_vllm_engine_error_in_caller(self, llm_config): - expected_out = ["hi ", "i ", "am ", "vllm."] - vllm_engine, req, engine_mock = get_fake_engine_and_request( - llm_config, expected_out - ) - - with pytest.raises(RuntimeError): - async for _x in vllm_engine.generate(req): - raise RuntimeError() - - await asyncio.sleep(0.02) # wait for asyncio task scheduling - # Abort should be called - engine_mock.abort.assert_called_once_with("req_id") - - @pytest.mark.asyncio - async def test_vllm_engine_caller_cancellation(self, llm_config): - expected_out = ["hi ", "i ", "am ", "vllm.", "and more"] * 10 # many tokens - vllm_engine, req, engine_mock = get_fake_engine_and_request( - llm_config, expected_out - ) - - async def run(): - async for x in vllm_engine.generate(req): - print(x) - - task = asyncio.create_task(run()) - await asyncio.sleep(0.02) # wait for some tokens to be returned - - # Cancel the task - task.cancel() - - await asyncio.sleep(0.02) # wait for asyncio task scheduling - # Abort should be called - engine_mock.abort.assert_called_once_with("req_id") - assert ( - vllm_engine._engine_client.num_generated <= 4 - ), "We should have generated not more than 4 tokens" - - @pytest.mark.parametrize("enable_json_mode", [True, False]) - def test_parse_sampling_params_json_mode( - self, llm_config: LLMConfig, enable_json_mode: bool - ): - # Make a deep copy to avoid modifying the session-scoped fixture - llm_config = llm_config.model_copy(deep=True) - vllm_engine = VLLMEngine(llm_config) - - # Mock model_config to avoid None errors - vllm_engine.model_config = Mock() - vllm_engine.model_config.max_model_len = 1000 - - # Create sampling params with response format - sampling_params = VLLMSamplingParams( - response_format={ - "type": "json_object", - "schema": { - "type": "object", - "properties": {"name": {"type": "string"}}, - }, - } - ) - - # Parse the sampling params - parsed_params = vllm_engine._parse_sampling_params(sampling_params) - - # For both cases we should now have guided decoding since we are using oss vllm. - # When json_mode is disabled, guided_decoding should be used instead - assert hasattr(parsed_params, "guided_decoding") - # Parse the JSON string from guided_decoding into a dict - guided_json = json.loads(parsed_params.guided_decoding.json) - assert guided_json == sampling_params.response_format.json_schema - assert getattr(parsed_params, "response_format", None) is None - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py index c73e8d3cfa6f..c4028f71c385 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py +++ b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py @@ -1,18 +1,11 @@ import sys -from unittest.mock import patch import pytest -from vllm.config import KVTransferConfig -from vllm.platforms.interface import UnspecifiedPlatform -from ray.llm._internal.serve.configs.prompt_formats import Prompt -from ray.llm._internal.serve.configs.server_models import LLMRawResponse from ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg import ( build_app, ) -from ray.llm.tests.serve.mocks.mock_vllm_engine import MockPDDisaggVLLMEngine -from ray.serve.llm import LLMConfig, ModelLoadingConfig -from ray.serve.llm.openai_api_models import ChatCompletionRequest +from ray.serve.llm import LLMConfig class TestServingArgsParsing: @@ -55,127 +48,5 @@ def test_parse_dict(self): assert app is not None -class FakePlatform(UnspecifiedPlatform): - """ - vllm UnspecifiedPlatform has some interfaces that's left unimplemented, which - could trigger exception in following tests. So we implement needed interfaces - and patch. - """ - - def is_async_output_supported(self, enforce_eager: bool) -> bool: - return True - - -class TestPDDisaggLLMServer: - """Test PD-disaggregated LLM server. - - A real P/D disaggregation use case will spawn multiple LLM servers, - so this test suite just does smoke test and verifies certain expected - parameters exist in responses. - """ - - @pytest.mark.asyncio - @patch("vllm.platforms.current_platform", FakePlatform()) - async def test_chat_non_streaming( - self, - create_server, - # model_pixtral_12b is a fixture that only contains config files without weights - model_pixtral_12b, - ): - """This is smoke testing that normal chat completion works.""" - llm_config = LLMConfig( - # Here we - # 1. want to skip GPU placement in cpu test cases (https://github.com/ray-project/ray/blob/945b9d5dd55c9215d0aeb94a66cfda3b71c2fd43/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py#L330) - # 2. cannot set it to None, otherwise it defaults to use_gpu=True (https://github.com/ray-project/ray/blob/c7e07328c9efbd0d67bf2da4fa098d6492478ef4/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py#L159) - # 3. cannot use "CPU" or anything random, which violates the check (https://github.com/ray-project/ray/blob/945b9d5dd55c9215d0aeb94a66cfda3b71c2fd43/python/ray/llm/_internal/serve/configs/server_models.py#L325) - # so we select a non-NVIDIA type here: Intel-GAUDI. - accelerator_type="Intel-GAUDI", - model_loading_config=ModelLoadingConfig( - model_id=model_pixtral_12b, - ), - engine_kwargs={ - "kv_transfer_config": KVTransferConfig( - kv_connector="NixlConnector", - kv_role="kv_both", - ), - }, - ) - - server = await create_server(llm_config, engine_cls=MockPDDisaggVLLMEngine) - - # Create a chat completion request - request = ChatCompletionRequest( - model="test_model", - messages=[dict(role="user", content="Hello")], - stream=False, - max_tokens=5, - ) - - # Get the response - response_stream = await server.chat(request) - - # Collect responses (should be just one) - responses = [r async for r in response_stream] - - # Check that we got one response - assert len(responses) == 1 - assert responses[0].choices[0].message.role == "assistant" - assert ( - responses[0].choices[0].message.content - == "mock_pd_client_response_0 mock_pd_client_response_1 mock_pd_client_response_2 mock_pd_client_response_3 mock_pd_client_response_4 " - ) - - @pytest.mark.asyncio - @patch("vllm.platforms.current_platform", FakePlatform()) - async def test_predict_non_streaming( - self, - create_server, - # model_pixtral_12b is a fixture that only contains config files without weights - model_pixtral_12b, - ): - """Test non-streaming predict.""" - llm_config = LLMConfig( - # Here we - # 1. want to skip GPU placement in cpu test cases (https://github.com/ray-project/ray/blob/945b9d5dd55c9215d0aeb94a66cfda3b71c2fd43/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py#L330) - # 2. cannot set it to None, otherwise it defaults to use_gpu=True (https://github.com/ray-project/ray/blob/c7e07328c9efbd0d67bf2da4fa098d6492478ef4/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py#L159) - # 3. cannot use "CPU" or anything random, which violates the check (https://github.com/ray-project/ray/blob/945b9d5dd55c9215d0aeb94a66cfda3b71c2fd43/python/ray/llm/_internal/serve/configs/server_models.py#L325) - # so we select a non-NVIDIA type here: Intel-GAUDI. - accelerator_type="Intel-GAUDI", - model_loading_config=ModelLoadingConfig( - model_id=model_pixtral_12b, - ), - engine_kwargs={ - "kv_transfer_config": KVTransferConfig( - kv_connector="NixlConnector", - kv_role="kv_both", - ), - }, - ) - - server = await create_server(llm_config, engine_cls=MockPDDisaggVLLMEngine) - - # Create a predict request - request = Prompt( - prompt="test prompt", - parameters=dict( - max_tokens=1, - stream=False, - kv_transfer_params=dict(field_that_does_not_matter="1"), - ), - ) - - # Get the response - responses: list[LLMRawResponse] = [] - async for response in server._predict( - request_id="test_request_id", prompt=request, stream=False - ): - responses.append(response) - - # Collect responses (should be just one) - assert len(responses) == 1 - assert responses[0].generated_text == "mock_pd_client_response_0 " - assert responses[0].metadata is not None - - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py b/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py index 5ba14036df08..4204231fd069 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py +++ b/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py @@ -86,7 +86,7 @@ async def test_chat(self, stream_batching_interval_ms, client, stream): role = response.choices[0].message.role assert role == "assistant" - assert text == "".join([f"test_{i} " for i in range(n_tokens)]) + assert text.strip() == " ".join([f"test_{i}" for i in range(n_tokens)]) @pytest.mark.asyncio @pytest.mark.parametrize("stream_batching_interval_ms", [None, 0, 10000]) @@ -112,8 +112,8 @@ async def test_completion(self, stream_batching_interval_ms, client, stream): text = response.choices[0].text # The mock engine produces "test_0 test_1 test_2 ..." pattern - expected_text = "".join([f"test_{i} " for i in range(n_tokens)]) - assert text == expected_text + expected_text = " ".join([f"test_{i}" for i in range(n_tokens)]) + assert text.strip() == expected_text def test_router_with_num_router_replicas_config(self): """Test the router with num_router_replicas config.""" diff --git a/python/ray/llm/tests/serve/cpu/deployments/test_server_utils.py b/python/ray/llm/tests/serve/cpu/deployments/test_server_utils.py deleted file mode 100644 index fe25126853a1..000000000000 --- a/python/ray/llm/tests/serve/cpu/deployments/test_server_utils.py +++ /dev/null @@ -1,45 +0,0 @@ -import base64 -import struct -import sys - -import pytest - -from ray.llm._internal.serve.deployments.utils.server_utils import floats_to_base64 - - -def test_floats_to_base64_empty_list(): - """Test encoding an empty list of floats.""" - assert floats_to_base64([]) == "" - - -def test_floats_to_base64_single_float(): - """Test encoding a single float.""" - float_list = [3.14159] - binary = struct.pack("f", float_list[0]) - expected = base64.b64encode(binary).decode("utf-8") - assert floats_to_base64(float_list) == expected - - -def test_floats_to_base64_multiple_floats(): - """Test encoding multiple floats.""" - float_list = [1.0, 2.0, 3.0, -4.5, 0.0] - binary = struct.pack(f"{len(float_list)}f", *float_list) - expected = base64.b64encode(binary).decode("utf-8") - assert floats_to_base64(float_list) == expected - - -def test_floats_to_base64_round_trip(): - """Test that encoded floats can be decoded back to the original values.""" - float_list = [1.5, -2.75, 3.333, 0.0, -0.0, 1e-10] - encoded = floats_to_base64(float_list) - # Decode the base64 string back to binary - decoded_binary = base64.b64decode(encoded) - # Unpack the binary back to floats - decoded_floats = struct.unpack(f"{len(float_list)}f", decoded_binary) - # Check that the values are close (not exactly equal due to floating point precision) - for original, decoded in zip(float_list, decoded_floats): - assert abs(original - decoded) < 1e-6 - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/test_streaming_error_handler.py b/python/ray/llm/tests/serve/cpu/deployments/test_streaming_error_handler.py deleted file mode 100644 index 6128f57e3612..000000000000 --- a/python/ray/llm/tests/serve/cpu/deployments/test_streaming_error_handler.py +++ /dev/null @@ -1,126 +0,0 @@ -import sys - -import pytest - -import ray -from ray.llm._internal.serve.configs.error_handling import ( - InputTooLong, - ValidationError, -) -from ray.llm._internal.serve.configs.prompt_formats import Prompt -from ray.llm._internal.serve.configs.server_models import LLMRawResponse -from ray.llm._internal.serve.deployments.utils.error_handling_utils import ( - StreamingErrorHandler, -) - - -async def fake_generator_internal_error(): - for _ in range(4): - yield LLMRawResponse(num_generated_tokens=1, generated_text="abcd") - raise RuntimeError("error") - - -async def fake_generator_pydantic_validation_error(): - for _ in range(4): - yield LLMRawResponse(num_generated_tokens=1, generated_text="abcd") - Prompt(prompt=None) - - -async def fake_generator_validation_error(): - for _ in range(4): - yield LLMRawResponse(num_generated_tokens=1, generated_text="abcd") - raise ValidationError("error") - - -async def fake_generator_prompt_too_long(): - for _ in range(4): - yield LLMRawResponse(num_generated_tokens=1, generated_text="abcd") - raise InputTooLong(2, 1).exception - - -@pytest.fixture -def handler(): - error_handler = StreamingErrorHandler() - request_id = "rid123" - ray.serve.context._serve_request_context.set( - ray.serve.context._RequestContext(**{"request_id": request_id}) - ) - return error_handler, request_id - - -@pytest.mark.asyncio -async def test_streaming_error_handler_internal_server_error(handler): - error_handler, request_id = handler - generator = fake_generator_internal_error() - - async for response in error_handler.handle_failure("model", generator): - last_response = response - assert ( - last_response.error.message - == f"Internal Server Error (Request ID: {request_id})" - ) - assert ( - last_response.error.internal_message - == f"Internal Server Error (Request ID: {request_id})" - ) - assert last_response.error.type == "InternalServerError" - assert last_response.error.code == 500 - - -@pytest.mark.asyncio -async def test_streaming_error_handler_pydantic_validation_error(handler): - error_handler, request_id = handler - generator = fake_generator_pydantic_validation_error() - - async for response in error_handler.handle_failure("model", generator): - last_response = response - assert last_response.error.message.startswith( - "prompt.list[function-after[check_fields(), Message]]\n Input should be a valid list [type=list_type, input_value=None, input_type=NoneType]" - ) and last_response.error.message.endswith(f"(Request ID: {request_id})") - assert last_response.error.internal_message.startswith( - "prompt.list[function-after[check_fields(), Message]]\n Input should be a valid list [type=list_type, input_value=None, input_type=NoneType]" - ) and last_response.error.internal_message.endswith(f"(Request ID: {request_id})") - assert last_response.error.type == "ValidationError" - assert last_response.error.code == 400 - - -@pytest.mark.asyncio -async def test_streaming_error_handler_validation_error(handler): - error_handler, request_id = handler - generator = fake_generator_validation_error() - - async for response in error_handler.handle_failure("model", generator): - last_response = response - assert ( - last_response.error.message - == f"ray.llm._internal.serve.configs.error_handling.ValidationError: error (Request ID: {request_id})" - ) - assert ( - last_response.error.internal_message - == f"ray.llm._internal.serve.configs.error_handling.ValidationError: error (Request ID: {request_id})" - ) - assert last_response.error.type == "ValidationError" - assert last_response.error.code == 400 - - -@pytest.mark.asyncio -async def test_streaming_error_handler_prompt_too_long(handler): - error_handler, request_id = handler - generator = fake_generator_prompt_too_long() - - async for response in error_handler.handle_failure("model", generator): - last_response = response - assert ( - last_response.error.message - == f"ray.llm._internal.serve.configs.error_handling.PromptTooLongError: Input too long. Received 2 tokens, but the maximum input length is 1 tokens. (Request ID: {request_id})" - ) - assert ( - last_response.error.internal_message - == f"ray.llm._internal.serve.configs.error_handling.PromptTooLongError: Input too long. Received 2 tokens, but the maximum input length is 1 tokens. (Request ID: {request_id})" - ) - assert last_response.error.type == "PromptTooLongError" - assert last_response.error.code == 400 - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py b/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py index bc2b7509ec05..0f7ce5f1956b 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py +++ b/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py @@ -1,12 +1,11 @@ import asyncio import sys -from typing import Optional +from typing import List, Optional import pytest from ray.llm._internal.serve.configs.constants import MODEL_RESPONSE_BATCH_TIMEOUT_MS -from ray.llm._internal.serve.configs.server_models import LLMRawResponse -from ray.llm._internal.serve.deployments.utils.batcher import LLMRawResponseBatcher +from ray.llm._internal.serve.deployments.utils.batcher import Batcher TEXT_VALUE = "foo" FINAL_TEXT_VALUE = "bar" @@ -15,7 +14,7 @@ async def fake_generator(): """Returns 100 responses with no delay""" for _i in range(100): - yield LLMRawResponse(num_generated_tokens=1, generated_text=TEXT_VALUE) + yield dict(num_generated_tokens=1, generated_text=TEXT_VALUE) async def fake_generator_slow(num_batches: int): @@ -27,26 +26,35 @@ async def fake_generator_slow(num_batches: int): for _i in range(100): await asyncio.sleep(MODEL_RESPONSE_BATCH_TIMEOUT_MS / 1000 / num_batches) - yield LLMRawResponse(num_generated_tokens=1, generated_text=TEXT_VALUE) + yield dict(num_generated_tokens=1, generated_text=TEXT_VALUE) async def fake_generator_slow_last_return_immediate(): """Returns 11 responses with small delay, aside from the last one which is immediate""" for _i in range(10): await asyncio.sleep(MODEL_RESPONSE_BATCH_TIMEOUT_MS / 1000) - yield LLMRawResponse(num_generated_tokens=1, generated_text=TEXT_VALUE) - yield LLMRawResponse(num_generated_tokens=1, generated_text=FINAL_TEXT_VALUE) + yield dict(num_generated_tokens=1, generated_text=TEXT_VALUE) + yield dict(num_generated_tokens=1, generated_text=FINAL_TEXT_VALUE) + + +class TestBatcher(Batcher): + def _merge_results(self, results: List[dict]) -> dict: + merged_result = {"num_generated_tokens": 0, "generated_text": ""} + for result in results: + for key, value in result.items(): + merged_result[key] += value + return merged_result class TestBatching: @pytest.mark.asyncio async def test_batch(self): count = 0 - batcher = LLMRawResponseBatcher(fake_generator()) + batcher = TestBatcher(fake_generator()) async for x in batcher.stream(): count += 1 - assert x.num_generated_tokens == 100 - assert x.generated_text == TEXT_VALUE * 100 + assert x["num_generated_tokens"] == 100 + assert x["generated_text"] == TEXT_VALUE * 100 # Should only have been called once assert count == 1 @@ -55,7 +63,7 @@ async def test_batch(self): @pytest.mark.asyncio async def test_batch_timing(self): count = 0 - batcher = LLMRawResponseBatcher(fake_generator_slow(num_batches=10)) + batcher = TestBatcher(fake_generator_slow(num_batches=10)) async for _x in batcher.stream(): count += 1 @@ -71,15 +79,15 @@ async def test_batch_last_return_is_immediate(self): the last response if it returns quickly.""" count = 0 token_count = 0 - batcher = LLMRawResponseBatcher(fake_generator_slow_last_return_immediate()) + batcher = TestBatcher(fake_generator_slow_last_return_immediate()) last_response = None async for _x in batcher.stream(): count += 1 - token_count += _x.num_generated_tokens + token_count += _x["num_generated_tokens"] last_response = _x assert ( - last_response.generated_text == TEXT_VALUE + FINAL_TEXT_VALUE + last_response["generated_text"] == TEXT_VALUE + FINAL_TEXT_VALUE ), "the last generated response should be batched with previous one" assert token_count == 11, "token_count should be exactly 11" assert ( @@ -91,9 +99,7 @@ async def test_batch_last_return_is_immediate(self): async def test_batch_no_interval(self): """Check that the class creates only one batch if there's no interval.""" - batcher = LLMRawResponseBatcher( - fake_generator_slow(num_batches=10), interval_ms=None - ) + batcher = TestBatcher(fake_generator_slow(num_batches=10), interval_ms=None) count = 0 async for _x in batcher.stream(): @@ -110,13 +116,11 @@ async def test_exception_propagation(self, interval_ms: Optional[float]): async def generator_should_raise(): for _i in range(100): await asyncio.sleep(0.01) - yield LLMRawResponse(num_generated_tokens=1, generated_text=TEXT_VALUE) + yield dict(num_generated_tokens=1, generated_text=TEXT_VALUE) raise ValueError() count = 0 - batched = LLMRawResponseBatcher( - generator_should_raise(), interval_ms=interval_ms - ) + batched = TestBatcher(generator_should_raise(), interval_ms=interval_ms) async def parent(): nonlocal count @@ -147,15 +151,11 @@ async def generator_should_raise(): with pytest.raises(asyncio.CancelledError): for _i in range(100): await asyncio.sleep(0.01) - yield LLMRawResponse( - num_generated_tokens=1, generated_text=TEXT_VALUE - ) + yield dict(num_generated_tokens=1, generated_text=TEXT_VALUE) if to_cancel == "inner": raise asyncio.CancelledError() - batched = LLMRawResponseBatcher( - generator_should_raise(), interval_ms=interval_ms - ) + batched = TestBatcher(generator_should_raise(), interval_ms=interval_ms) async def parent(): nonlocal batched diff --git a/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py b/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py deleted file mode 100644 index 0607bd59951d..000000000000 --- a/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py +++ /dev/null @@ -1,73 +0,0 @@ -import sys - -import pytest - -from ray.llm._internal.serve.configs.server_models import ( - LLMConfig, -) -from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import ( - VLLMEngine, - _get_vllm_engine_config, -) - - -class TestVLLMEngine: - """Test the VLLMEngine.""" - - @pytest.mark.asyncio - @pytest.mark.parametrize( - "engine_kwargs, expected_prompt_limit", - [ - ({"enable_chunked_prefill": True}, 1024000), - ( - { - "enable_chunked_prefill": True, - "max_model_len": 999, - }, - 999, - ), - ( - { - "enable_chunked_prefill": True, - "max_num_batched_tokens": 888, - }, - 1024000, - ), - ( - { - "enable_chunked_prefill": True, - "max_model_len": 999, - "max_num_batched_tokens": 888, - "enforce_eager": True, - }, - 999, - ), - ({"enable_chunked_prefill": False}, 1024000), - ( - { - "enable_chunked_prefill": False, - "max_model_len": 999, - }, - 999, - ), - ], - ) - async def test_get_prompt_limit( - # llm_config is a fixture defined in serve.tests.conftest.py - self, - llm_config: LLMConfig, - engine_kwargs: dict, - expected_prompt_limit: int, - ): - llm_config = llm_config.model_copy(deep=True) - vllm_engine = VLLMEngine(llm_config) - - # Test with default engine kwargs - llm_config.engine_kwargs = engine_kwargs - _, vllm_config = _get_vllm_engine_config(llm_config) - vllm_engine.vllm_config = vllm_config - assert vllm_engine._get_prompt_limit() == expected_prompt_limit - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility.py b/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility.py index a5405cbded72..e1a4f02b8c22 100644 --- a/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility.py +++ b/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility.py @@ -3,11 +3,6 @@ import openai import pytest -from ray.llm._internal.serve.configs.constants import ( - MAX_NUM_TOPLOGPROBS_ALLOWED, - MIN_NUM_TOPLOGPROBS_ALLOWED, -) - class TestOpenAICompatibility: """Test that the rayllm are compatible with the OpenAI API""" @@ -17,7 +12,7 @@ def test_models(self, testing_model): # noqa: F811 models = client.models.list() assert len(models.data) == 1, "Only the test model should be returned" assert models.data[0].id == model, "The test model id should match" - assert models.data[0].rayllm_metadata["input_modality"] == "text" + assert models.data[0].metadata["input_modality"] == "text" def test_completions(self, testing_model): # noqa: F811 client, model = testing_model @@ -28,7 +23,7 @@ def test_completions(self, testing_model): # noqa: F811 ) assert completion.model == model assert completion.model - assert completion.choices[0].text == "test_0 test_1 " + assert completion.choices[0].text == "test_0 test_1" def test_chat(self, testing_model): # noqa: F811 client, model = testing_model @@ -43,97 +38,6 @@ def test_chat(self, testing_model): # noqa: F811 assert isinstance(chat_completion.choices, list) assert chat_completion.choices[0].message.content - def test_chat_logprobs(self, testing_model): - client, model = testing_model - num_tokens = 5 - # test logprobs for non-streaming chat completions - for top_logprobs in range(5): - chat_completion = client.chat.completions.create( - model=model, - max_tokens=num_tokens, - messages=[{"role": "user", "content": "Hello world"}], - logprobs=True, - top_logprobs=top_logprobs, - ) - logprobs = chat_completion.choices[0].logprobs.content - assert logprobs, "Logprobs should be not be None or Empty" - assert len(logprobs) == num_tokens - assert all( - len(logprob.top_logprobs) == top_logprobs for logprob in logprobs - ) - text_from_logprobs = [] - for logprob in logprobs: - text_from_logprobs.append(logprob.token) - if logprob.top_logprobs: - assert logprob.token == logprob.top_logprobs[0].token - text_from_logprobs = "".join(text_from_logprobs) - assert ( - text_from_logprobs == chat_completion.choices[0].message.content - ), "Text from logprobs should match text from completion" - - for num_top_logprobs in range(5): - chat_completion = client.chat.completions.create( - model=model, - max_tokens=num_tokens, - messages=[{"role": "user", "content": "Hello world"}], - logprobs=True, - top_logprobs=num_top_logprobs, - stream=True, - ) - - for c in chat_completion: - choice_logprobs = c.choices[0].logprobs - if choice_logprobs and choice_logprobs.content: - for chat_completion_token_logprob in choice_logprobs.content: - top_logprobs_res = chat_completion_token_logprob.top_logprobs - assert len(top_logprobs_res) == num_top_logprobs - if top_logprobs_res: - assert ( - top_logprobs_res[0].token - == chat_completion_token_logprob.token - ) - - # try to send logprobs request with invalid number of toplogprobs - with pytest.raises(openai.BadRequestError): - for top_logprobs in [ - MAX_NUM_TOPLOGPROBS_ALLOWED + 1, - MIN_NUM_TOPLOGPROBS_ALLOWED - 1, - ]: - client.chat.completions.create( - model=model, - max_tokens=num_tokens, - messages=[{"role": "user", "content": "Hello world"}], - logprobs=True, - top_logprobs=top_logprobs, - ) - - def test_completions_bad_request(self, testing_model): # noqa: F811 - client, model = testing_model - with pytest.raises(openai.BadRequestError) as exc_info: - client.completions.create( - model=model, - prompt="Hello world", - temperature=-0.1, - ) - assert "temperature" in str(exc_info.value) - - def test_chat_bad_request(self, testing_model): # noqa: F811 - client, model = testing_model - with pytest.raises(openai.BadRequestError) as exc_info: - client.chat.completions.create( - model=model, - messages=[{"role": "user", "content": "Hello world"}], - temperature=-0.1, - ) - assert "temperature" in str(exc_info.value) - - with pytest.raises(openai.BadRequestError) as exc_info: - client.chat.completions.create( - model=model, - messages=[], - ) - assert "least 1 item" in str(exc_info.value) - def test_completions_missing_model(self, testing_model): # noqa: F811 client, _ = testing_model with pytest.raises(openai.NotFoundError) as exc_info: @@ -174,8 +78,12 @@ def test_chat_stream(self, testing_model): # noqa: F811 model=model, messages=[{"role": "user", "content": "Hello world"}], stream=True, + stream_options=dict( + include_usage=True, + ), temperature=0.4, frequency_penalty=0.02, + max_tokens=5, ): if i == 0: assert chat_completion @@ -190,45 +98,6 @@ def test_chat_stream(self, testing_model): # noqa: F811 chat_completion.choices[0].delta, "content" ) i += 1 - assert chat_completion - assert chat_completion.id - assert isinstance(chat_completion.choices, list) - assert not chat_completion.choices[0].delta.content - assert chat_completion.choices[0].finish_reason - assert i > 4 - - def test_completions_stream_bad_request(self, testing_model): # noqa: F811 - client, model = testing_model - with pytest.raises(openai.BadRequestError) as exc_info: - for _ in client.completions.create( - model=model, - prompt="Hello world", - stream=True, - temperature=-0.1, - ): - pass - assert "temperature" in str(exc_info.value) - - def test_chat_stream_bad_request(self, testing_model): # noqa: F811 - client, model = testing_model - with pytest.raises(openai.BadRequestError) as exc_info: - for _chat_completion in client.chat.completions.create( - model=model, - messages=[{"role": "user", "content": "Hello world"}], - stream=True, - temperature=-0.1, - ): - pass - assert "temperature" in str(exc_info.value) - - with pytest.raises(openai.BadRequestError) as exc_info: - for _chat_completion in client.chat.completions.create( - model=model, - messages=[], - stream=True, - ): - pass - assert "least 1 item" in str(exc_info.value) def test_completions_stream_missing_model(self, testing_model): # noqa: F811 client, _ = testing_model diff --git a/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility_no_accelerator_type.py b/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility_no_accelerator_type.py index 549f655da85b..1142700b34ed 100644 --- a/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility_no_accelerator_type.py +++ b/python/ray/llm/tests/serve/gpu/integration/test_openai_compatibility_no_accelerator_type.py @@ -27,7 +27,7 @@ def test_completions_no_accelerator_type( ) assert completion.model == model assert completion.model - assert completion.choices[0].text == "test_0 test_1 " + assert completion.choices[0].text == "test_0 test_1" def test_chat_no_accelerator_type(self, testing_model_no_accelerator): # noqa: F811 """Check chat completions without accelerator_type""" diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 367c92d236e0..c3f0af05e0a0 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -2,297 +2,266 @@ import json import random from random import randint -from typing import AsyncGenerator, Dict, Optional - -from PIL import Image -from transformers import AutoTokenizer -from vllm import CompletionOutput, PromptType, RequestOutput -from vllm.config import DeviceConfig, KVTransferConfig, ModelConfig, VllmConfig -from vllm.engine.protocol import EngineClient -from vllm.sampling_params import SamplingParams as VLLMInternalSamplingParams - -from ray.llm._internal.serve.configs.error_handling import ValidationError -from ray.llm._internal.serve.configs.openai_api_models_patch import ( - ResponseFormatJsonObject, +from typing import AsyncGenerator, Dict, Union + +from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionRequest, + ChatCompletionResponse, + CompletionRequest, + CompletionResponse, + EmbeddingRequest, + EmbeddingResponse, + ErrorResponse, ) from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, - FinishReason, LLMConfig, - LLMRawResponse, - LogProb, - LogProbs, - Prompt, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( LoraModelLoader, ) -from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine -from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine_stats import ( - VLLMEngineStats, - VLLMEngineStatTracker, -) -from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - KV_TRANSFER_PARAMS_KEY, - VLLMGenerationRequest, - VLLMSamplingParams, -) class MockVLLMEngine(LLMEngine): + """Mock vLLM Engine that generates fake text responses. + + - In case of LoRA it generates a prefix with the model name in the text part of the response. + """ + def __init__(self, llm_config: LLMConfig): - """Create a vLLM Engine class + """Create a mock vLLM Engine. Args: llm_config: The llm configuration for this engine """ - assert isinstance( - llm_config, LLMConfig - ), f"Got invalid config {llm_config} of type {type(llm_config)}" self.llm_config = llm_config - - self._stats = VLLMEngineStatTracker() + self.started = False + self._current_lora_model: Dict[str, DiskMultiplexConfig] = {} async def start(self): - """No-Op""" - return - - @staticmethod - async def async_range(count): - for i in range(count): - yield i - await asyncio.sleep(0.0) - - async def prepare_request( - self, request_id: str, prompt: Prompt, stream: bool, **kwargs - ) -> VLLMGenerationRequest: - - if isinstance(prompt.prompt, list): - # Simplification: Assume prompt is a list of messages with one user message - assert len(prompt.prompt) == 1 - assert hasattr(prompt.prompt[0], "content") - prompt_text = prompt.prompt[0].content - else: - prompt_text = prompt.prompt - - return VLLMGenerationRequest( - request_id=request_id, - prompt=prompt_text, - stream=stream, - sampling_params=VLLMSamplingParams.from_prompt(prompt), - ) + """Start the mock engine.""" + self.started = True - async def generate(self, vllm_engine_request: VLLMGenerationRequest): - sampling_params = self._parse_sampling_params( - vllm_engine_request.sampling_params - ) - max_tokens = sampling_params.max_tokens - if not max_tokens: - max_tokens = randint(1, 10) - prompt = vllm_engine_request.prompt - prompt_len = ( - len(prompt.split()) if isinstance(prompt, str) else len(prompt.prompt) - ) - generation_time = 0.001 - - async for i in self.async_range(max_tokens): - if i == max_tokens - 1: - finish_reason = FinishReason.STOP - else: - finish_reason = None - llm_response = LLMRawResponse( - generated_text=f"test_{i} ", - num_input_tokens=prompt_len, - num_input_tokens_batch=prompt_len, - num_generated_tokens=1, - preprocessing_time=0, - generation_time=generation_time, - finish_reason=finish_reason, - logprobs=self.get_logprobs(i, vllm_engine_request, sampling_params), - ) - yield llm_response - await asyncio.sleep(generation_time) + async def resolve_lora(self, lora_model: DiskMultiplexConfig): + """Resolve/load a LoRA model.""" + self._current_lora_model[lora_model.model_id] = lora_model async def check_health(self) -> None: - return - - def stats(self) -> VLLMEngineStats: - return self._stats.to_stats() - - def shutdown(self, shutdown_pg: bool = True): - raise NotImplementedError() - - def _parse_sampling_params( - self, sampling_params: VLLMSamplingParams - ) -> VLLMInternalSamplingParams: - try: - if sampling_params.n != 1: - raise ValueError("n>1 is not supported yet in rayllm") - if sampling_params.logprobs: - if sampling_params.top_logprobs: - if not (0 <= sampling_params.top_logprobs <= 5): - raise ValueError("top_logprobs must be between 0 and 5") - log_probs = sampling_params.top_logprobs - else: - log_probs = 1 - else: - if sampling_params.top_logprobs: - raise ValueError( - "if top_logprobs is specified, logprobs must be set to `True`" - ) - log_probs = None - - return VLLMInternalSamplingParams( - n=1, - best_of=sampling_params.best_of, - presence_penalty=sampling_params.presence_penalty - if sampling_params.presence_penalty is not None - else 0.0, - frequency_penalty=sampling_params.frequency_penalty - if sampling_params.frequency_penalty is not None - else 0.0, - repetition_penalty=sampling_params.repetition_penalty - if sampling_params.repetition_penalty is not None - else 1.0, - temperature=sampling_params.temperature - if sampling_params.temperature is not None - else 1.0, - top_p=sampling_params.top_p - if sampling_params.top_p is not None - else 1.0, - top_k=sampling_params.top_k - if sampling_params.top_k is not None - else -1, - stop=sampling_params.stop, - stop_token_ids=sampling_params.stop_tokens, - ignore_eos=False, - # vLLM will cancel internally if input+output>max_tokens - max_tokens=sampling_params.max_tokens - or self.llm_config.max_request_context_length, - logprobs=log_probs, - ) - except Exception as e: - # Wrap the error in ValidationError so the status code - # returned to the user is correct. - raise ValidationError(str(e)) from e - - def get_logprobs( - self, - i: int, - vllm_engine_request: VLLMGenerationRequest, - sampling_params: VLLMSamplingParams, - ): - """Helper function for generating LLMRawResponse logprobs""" - num_logprobs = sampling_params.logprobs - top_logprobs = vllm_engine_request.sampling_params.top_logprobs - if num_logprobs: - log_probs = [ - LogProbs.create( - logprobs=[ - LogProb( - logprob=0.0, - token=( - f"test_{i} " if idx == 0 else f"candidate_token_{idx}" - ), - bytes=[], - ) - for idx in range(num_logprobs) - ], - top_logprobs=top_logprobs, - ) - ] - else: - log_probs = None + """Check the health of the mock engine.""" + if not self.started: + raise RuntimeError("Engine not started") + + async def chat( + self, request: ChatCompletionRequest + ) -> AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None]: + """Mock chat completion.""" + if not self.started: + raise RuntimeError("Engine not started") + + # Extract prompt text from messages + prompt_text = "" + if request.messages: + for message in request.messages: + if hasattr(message, "content") and message.content: + prompt_text += str(message.content) + " " + + max_tokens = getattr(request, "max_tokens", None) or randint(1, 10) + + # Generate streaming response + async for response in self._generate_chat_response( + request=request, prompt_text=prompt_text.strip(), max_tokens=max_tokens + ): + yield response - return log_probs + async def completions( + self, request: CompletionRequest + ) -> AsyncGenerator[Union[str, CompletionResponse, ErrorResponse], None]: + """Mock text completion.""" + if not self.started: + raise RuntimeError("Engine not started") + prompt_text = str(request.prompt) if request.prompt else "" + max_tokens = getattr(request, "max_tokens", None) or randint(5, 20) -class MockEchoVLLMEngine(MockVLLMEngine): - """ - Mock engine that responds with information about the request sent to it. Useful - for testing the contents of VLLMGenerationRequests created in RayLLM code up to - the vLLM boundary. - """ - - def _convert_to_json(self, vllm_engine_request: VLLMGenerationRequest) -> Dict: - """Converts request to json. + # Generate streaming response + async for response in self._generate_completion_response( + request=request, prompt_text=prompt_text, max_tokens=max_tokens + ): + yield response + + async def embeddings( + self, request: EmbeddingRequest + ) -> AsyncGenerator[Union[str, EmbeddingResponse, ErrorResponse], None]: + """Mock embeddings generation.""" + if not self.started: + raise RuntimeError("Engine not started") + + # Generate a mock embedding response + embedding_data = [] + inputs = request.input if isinstance(request.input, list) else [request.input] + + for i, text in enumerate(inputs): + # Generate random embedding vector + dimensions = getattr(request, "dimensions", None) or 1536 + embedding = [random.uniform(-1, 1) for _ in range(dimensions)] + + embedding_data.append( + {"object": "embedding", "embedding": embedding, "index": i} + ) - If the request contains an image, this method removes the image - from `vllm_engine_request` and sets `has_image: true` in the - output dictionary. - This is because `Image.Image` is not json serializable. - """ - mm_data = vllm_engine_request.multi_modal_data - if isinstance(mm_data, dict) and "image" in mm_data: - assert isinstance(mm_data["image"], Image.Image) or ( - isinstance(mm_data["image"], list) - and all( - [ - isinstance(image, Image.Image) - for image in vllm_engine_request.multi_modal_data["image"] - ] - ) - ), "Image must be of type Image.Image or a list of Image.Image" - mm_data["image"] = None - has_image = True - else: - has_image = False - res = vllm_engine_request.model_dump() - res.update({"has_image": has_image}) - return json.dumps(res) - - async def generate(self, vllm_engine_request: VLLMGenerationRequest): - yield LLMRawResponse( - generated_text=self._convert_to_json(vllm_engine_request), - num_input_tokens=0, - num_input_tokens_batch=0, - num_generated_tokens=1, - preprocessing_time=0, - generation_time=0.01, - finish_reason=FinishReason.STOP, - logprobs=None, + response = EmbeddingResponse( + object="list", + data=embedding_data, + model=getattr(request, "model", "mock-model"), + usage={ + "prompt_tokens": len(str(request.input).split()), + "total_tokens": len(str(request.input).split()), + }, ) + yield response + + async def _generate_chat_response( + self, request: ChatCompletionRequest, prompt_text: str, max_tokens: int + ) -> AsyncGenerator[Union[str, ChatCompletionResponse], None]: + """Generate mock chat completion response.""" + + request_id = request.request_id or f"chatcmpl-{random.randint(1000, 9999)}" + lora_prefix = ( + "" + if request.model not in self._current_lora_model + else f"[lora_model] {request.model}: " + ) + if request.stream: + # Streaming response - return SSE formatted strings + created_time = int(asyncio.get_event_loop().time()) + model_name = getattr(request, "model", "mock-model") + + for i in range(max_tokens): + if i == 0: + token = f"{lora_prefix}test_{i} " + else: + token = f"test_{i} " + if i == max_tokens - 1: + # no space for the last token + token = f"test_{i}" + + # Create streaming chunk + choice = { + "index": 0, + "delta": { + "content": token, + "role": "assistant" if i == 0 else None, + }, + "finish_reason": "stop" if i == max_tokens - 1 else None, + } + + chunk_data = { + "id": request_id, + "object": "chat.completion.chunk", + "created": created_time, + "model": model_name, + "choices": [choice], + } + + # Format as SSE + yield f"data: {json.dumps(chunk_data)}\n\n" + await asyncio.sleep(0.01) # Simulate processing time + + # Send final [DONE] message + yield "data: [DONE]\n\n" + else: + # Non-streaming response - return response object + generated_text = " ".join([f"test_{i}" for i in range(max_tokens)]) + generated_text = f"{lora_prefix}{generated_text}" + + choice = { + "index": 0, + "message": {"role": "assistant", "content": generated_text}, + "finish_reason": "stop", + } + + response = ChatCompletionResponse( + id=request_id, + object="chat.completion", + created=int(asyncio.get_event_loop().time()), + model=getattr(request, "model", "mock-model"), + choices=[choice], + usage={ + "prompt_tokens": len(prompt_text.split()), + "completion_tokens": max_tokens, + "total_tokens": len(prompt_text.split()) + max_tokens, + }, + ) + yield response -class MockMultiplexEngine(LLMEngine): - def __init__(self, *args, **kwargs): - self.started = False + async def _generate_completion_response( + self, request: CompletionRequest, prompt_text: str, max_tokens: int + ) -> AsyncGenerator[Union[str, CompletionResponse], None]: + """Generate mock completion response.""" - async def prepare_request( - self, - request_id: str, - prompt: Prompt, - stream: bool, - disk_lora_model: Optional[DiskMultiplexConfig] = None, - ) -> VLLMGenerationRequest: - - if isinstance(prompt.prompt, list): - # Simplification: Assume prompt is a list of messages with one user message - assert len(prompt.prompt) == 1 - assert hasattr(prompt.prompt[0], "content") - prompt_text = prompt.prompt[0].content - else: - prompt_text = prompt.prompt - - output = VLLMGenerationRequest( - request_id=request_id, - prompt=prompt_text, - stream=stream, - sampling_params=VLLMSamplingParams.from_prompt(prompt), - disk_multiplex_config=disk_lora_model, + request_id = request.request_id or f"cmpl-{random.randint(1000, 9999)}" + lora_prefix = ( + "" + if request.model not in self._current_lora_model + else f"[lora_model] {request.model}: " ) - return output - - async def start(self): - self.started = True - - async def generate(self, arg): - assert self.started, "Engine was not started" - yield arg + if request.stream: + # Streaming response - return SSE formatted strings + created_time = int(asyncio.get_event_loop().time()) + model_name = getattr(request, "model", "mock-model") + + for i in range(max_tokens): + if i == 0: + token = f"{lora_prefix}test_{i} " + else: + token = f"test_{i} " + if i == max_tokens - 1: + # no space for the last token + token = f"test_{i}" + + choice = { + "index": 0, + "text": token, + "finish_reason": "stop" if i == max_tokens - 1 else None, + } + + chunk_data = { + "id": request_id, + "object": "text_completion", + "created": created_time, + "model": model_name, + "choices": [choice], + } + + # Format as SSE + yield f"data: {json.dumps(chunk_data)}\n\n" + await asyncio.sleep(0.01) + + # Send final [DONE] message + yield "data: [DONE]\n\n" + else: + # Non-streaming response - return response object + generated_text = " ".join([f"test_{i}" for i in range(max_tokens)]) + generated_text = f"{lora_prefix}{generated_text}" + + choice = {"index": 0, "text": generated_text, "finish_reason": "stop"} + + response = CompletionResponse( + id=request_id, + object="text_completion", + created=int(asyncio.get_event_loop().time()), + model=getattr(request, "model", "mock-model"), + choices=[choice], + usage={ + "prompt_tokens": len(prompt_text.split()), + "completion_tokens": max_tokens, + "total_tokens": len(prompt_text.split()) + max_tokens, + }, + ) - async def check_health(self): - return True + yield response class FakeLoraModelLoader(LoraModelLoader): @@ -308,326 +277,3 @@ async def load_model( local_path="/fake/local/path", lora_assigned_int_id=random.randint(1, 100), ) - - -class MockJSONModeVLLMEngine(MockVLLMEngine): - async def generate_text(self, max_tokens, prompt_len): - generation_time = 0.001 - async for i in self.async_range(max_tokens): - if i == max_tokens - 1: - finish_reason = FinishReason.STOP - else: - finish_reason = None - llm_response = LLMRawResponse( - generated_text=f"test_{i} ", - num_input_tokens=prompt_len, - num_input_tokens_batch=prompt_len, - num_generated_tokens=1, - preprocessing_time=0, - generation_time=generation_time, - finish_reason=finish_reason, - ) - yield llm_response - await asyncio.sleep(generation_time) - - async def generate_json(self, json_schema, max_tokens, prompt_len): - random_valid_json = str(generate_from_schema(json_schema)) - # the json has double quotes where single quotes should be and single quotes where double quotes should be: - random_valid_json = random_valid_json.replace("'", '"') - - tokens = split_string_into_chunks(random_valid_json, max_tokens) - - generation_time = 0.001 - async for i in self.async_range(max_tokens): - finish_reason = None - if i == max_tokens - 1: - finish_reason = FinishReason.STOP - - generated_text = tokens[i] - llm_response = LLMRawResponse( - generated_text=generated_text, - num_input_tokens=prompt_len, - num_input_tokens_batch=prompt_len, - num_generated_tokens=1, - preprocessing_time=0, - generation_time=generation_time, - finish_reason=finish_reason, - ) - yield llm_response - await asyncio.sleep(generation_time) - - async def generate(self, vllm_engine_request: VLLMGenerationRequest): - sampling_params = self._parse_sampling_params( - vllm_engine_request.sampling_params - ) - max_tokens = sampling_params.max_tokens - if not max_tokens: - max_tokens = randint(1, 10) - prompt = vllm_engine_request.prompt - prompt_len = get_prompt_length(prompt) - response_format = sampling_params.response_format - if response_format and isinstance(response_format, ResponseFormatJsonObject): - response_format = sampling_params.response_format - generator = self.generate_json( - response_format.json_schema, - max_tokens=max_tokens, - prompt_len=prompt_len, - ) - else: - generator = self.generate_text(max_tokens=max_tokens, prompt_len=prompt_len) - async for x in generator: - yield x - - def _parse_sampling_params( - self, sampling_params: VLLMSamplingParams - ) -> VLLMInternalSamplingParams: - new_sampling_params = super()._parse_sampling_params(sampling_params) - new_sampling_params.response_format = sampling_params.response_format - return new_sampling_params - - -class MockPDDisaggVLLMEngineClient(EngineClient): - """ - Mock vllm EngineClient that supports PD Disaggregation. - """ - - def __init__(self, vllm_config: VllmConfig): - self._llm_config = vllm_config - self._model_config = vllm_config.model_config - - @property - def kv_transfer_config(self): - # https://github.com/vllm-project/vllm/blob/980a172474fa0f32433dda87ae1fa4aadba24c51/vllm/config.py#L4061 - kv_transfer_config = self._llm_config.kv_transfer_config - if kv_transfer_config is not None: - assert isinstance(kv_transfer_config, KVTransferConfig) - return kv_transfer_config - - @staticmethod - async def async_range(count): - for i in range(count): - yield i - await asyncio.sleep(0.0) - - def is_running(self) -> bool: - return True - - @property - def is_stopped(self) -> bool: - return False - - @property - def errored(self) -> bool: - return False - - @property - def dead_error(self) -> BaseException: - return None - - def generate( - self, - prompt: PromptType, - sampling_params: VLLMInternalSamplingParams, - request_id: str, - **kwargs, - ) -> AsyncGenerator[RequestOutput, None]: - """Generate outputs for a request.""" - max_tokens = sampling_params.max_tokens or randint(1, 10) - - # vLLM uses `extra_args` to pass in `kv_transfer_params`: - # https://github.com/vllm-project/vllm/blob/980a172474fa0f32433dda87ae1fa4aadba24c51/vllm/v1/request.py#L65 - kv_transfer_params = None - if ( - self.kv_transfer_config is not None - and KV_TRANSFER_PARAMS_KEY in sampling_params.extra_args - ): - # For now we don't test the items in request/response, so just pass empty dict. - kv_transfer_params = {} # noqa: F841 - - async def generate_response(): - # vLLM EngineClient spits accumulated output in the response. - # ray serve's engine spits output in chunk. - accumulated_output = "" - async for i in self.async_range(max_tokens): - accumulated_output += f"mock_pd_client_response_{i} " - yield RequestOutput( - finished=(i == max_tokens - 1), - request_id=request_id, - prompt=prompt, - prompt_token_ids=[i], - prompt_logprobs=[0.0], - outputs=[ - CompletionOutput( - index=i, - text=accumulated_output, - token_ids=[i], - cumulative_logprob=None, - logprobs=None, - ) - ], - kv_transfer_params=kv_transfer_params, - ) - - return generate_response() - - def encode( - self, - prompt: PromptType, - request_id: str, - **kwargs, - ) -> AsyncGenerator: - """Generate outputs for a request from a pooling model.""" - raise NotImplementedError("Not expected to be reached") - - async def abort(self, request_id: str) -> None: - """Abort a request. - - Args: - request_id: The unique id of the request. - """ - return - - async def get_vllm_config(self): - """Get the vllm configuration of the vLLM engine.""" - return self._llm_config - - async def get_model_config(self): - """Get the model configuration of the vLLM engine.""" - return self._model_config - - async def get_decoding_config(self): - """Get the decoding configuration of the vLLM engine.""" - raise NotImplementedError("Not expected to be reached") - - async def get_input_preprocessor(self): - """Get the input processor of the vLLM engine.""" - raise NotImplementedError("Not expected to be reached") - - async def get_tokenizer( - self, - lora_request=None, - ) -> any: - """Get the appropriate tokenizer for the request""" - return AutoTokenizer.from_pretrained(self._model_config.model) - - async def is_tracing_enabled(self) -> bool: - """Check if tracing is enabled""" - raise NotImplementedError("Not expected to be reached") - - async def do_log_stats( - self, - scheduler_outputs=None, - model_output=None, - ) -> None: - raise NotImplementedError("Not expected to be reached") - - async def check_health(self) -> None: - """Raise if unhealthy""" - return - - async def start_profile(self) -> None: - """Start profiling the engine""" - raise NotImplementedError("Not expected to be reached") - - async def stop_profile(self) -> None: - """Start profiling the engine""" - raise NotImplementedError("Not expected to be reached") - - async def reset_prefix_cache(self, device=None) -> None: - """Reset the prefix cache""" - raise NotImplementedError("Not expected to be reached") - - async def sleep(self, level: int = 1) -> None: - """Sleep the engine""" - raise NotImplementedError("Not expected to be reached") - - async def wake_up(self, tags: Optional[list[str]] = None) -> None: - """Wake up the engine""" - raise NotImplementedError("Not expected to be reached") - - async def is_sleeping(self) -> bool: - """Check whether the engine is sleeping""" - raise NotImplementedError("Not expected to be reached") - - async def add_lora(self, lora_request) -> None: - """Load a new LoRA adapter into the engine for future requests.""" - raise NotImplementedError("Not expected to be reached") - - async def reset_mm_cache(self) -> None: - """Reset the multi-modal cache""" - raise NotImplementedError("Not expected to be reached") - - -class MockPDDisaggVLLMEngine(VLLMEngine): - async def _start_engine(self) -> EngineClient: - return MockPDDisaggVLLMEngineClient( - VllmConfig( - model_config=ModelConfig( - model=self.llm_config.model_loading_config.model_id, - task="auto", - tokenizer=self.llm_config.model_loading_config.model_id, - tokenizer_mode="auto", - trust_remote_code=False, - dtype="auto", - seed=0, - ), - device_config=DeviceConfig( - device="cpu", - ), - ) - ) - - -def generate_from_schema(schema): - if "type" not in schema: - raise ValueError("Schema must have a 'type' property") - - # Check for enum and return a random value from it - if "enum" in schema: - return schema["enum"][0] - - if schema["type"] == "object": - obj = {} - for prop, prop_schema in schema.get("properties", {}).items(): - obj[prop] = generate_from_schema(prop_schema) - return obj - - elif schema["type"] == "array": - item_schema = schema.get("items", {}) - return [generate_from_schema(item_schema) for _ in range(random.randint(1, 3))] - - elif schema["type"] == "string": - return "sample_string" - - elif schema["type"] == "integer": - return random.randint(0, 100) - - elif schema["type"] == "number": - return random.uniform(0, 100) - - elif schema["type"] == "boolean": - return random.choice([True, False]) - - else: - raise ValueError(f"Unsupported type: {schema['type']}") - - -def split_string_into_chunks(s, n): - if n <= 0: - raise ValueError("Number of chunks must be greater than 0") - - chunk_size = len(s) // n - remainder = len(s) % n - - chunks = [] - start = 0 - for i in range(n): - end = start + chunk_size + (1 if i < remainder else 0) - chunks.append(s[start:end]) - start = end - - return chunks - - -def get_prompt_length(prompt): - return len(prompt.split()) if isinstance(prompt, str) else len(prompt) diff --git a/python/ray/llm/tests/serve/utils/__init__.py b/python/ray/llm/tests/serve/utils/__init__.py new file mode 100644 index 000000000000..e356527468b2 --- /dev/null +++ b/python/ray/llm/tests/serve/utils/__init__.py @@ -0,0 +1 @@ +# Testing utilities for Ray LLM serve tests diff --git a/python/ray/llm/tests/serve/utils/testing_utils.py b/python/ray/llm/tests/serve/utils/testing_utils.py new file mode 100644 index 000000000000..fd62a3034deb --- /dev/null +++ b/python/ray/llm/tests/serve/utils/testing_utils.py @@ -0,0 +1,96 @@ +"""Shared testing utilities for Ray LLM serve tests. + +This is written with assumptions around how mocks for testing are expected to behave. +""" + +import json +import re +from typing import List, Optional, Union + +from ray.llm._internal.serve.configs.openai_api_models import ( + ChatCompletionResponse, + CompletionResponse, + EmbeddingResponse, +) + + +class LLMResponseValidator: + """Reusable validation logic for LLM responses.""" + + @staticmethod + def get_expected_content( + api_type: str, max_tokens: int, lora_model_id: str = "" + ) -> str: + """Get expected content based on API type.""" + expected_content = " ".join(f"test_{i}" for i in range(max_tokens)) + if lora_model_id: + expected_content = f"[lora_model] {lora_model_id}: {expected_content}" + return expected_content + + @staticmethod + def validate_non_streaming_response( + response: Union[ChatCompletionResponse, CompletionResponse], + api_type: str, + max_tokens: int, + lora_model_id: str = "", + ): + """Validate non-streaming responses.""" + expected_content = LLMResponseValidator.get_expected_content( + api_type, max_tokens, lora_model_id + ) + + if api_type == "chat": + assert isinstance(response, ChatCompletionResponse) + assert response.choices[0].message.content == expected_content + elif api_type == "completion": + assert isinstance(response, CompletionResponse) + assert response.choices[0].text == expected_content + + @staticmethod + def validate_streaming_chunks( + chunks: List[str], api_type: str, max_tokens: int, lora_model_id: str = "" + ): + """Validate streaming response chunks.""" + # Should have max_tokens + 1 chunks (tokens + [DONE]) + assert len(chunks) == max_tokens + 1 + + # Validate each chunk except the last [DONE] chunk + for chunk_iter, chunk in enumerate(chunks[:-1]): + pattern = r"data: (.*)\n\n" + match = re.match(pattern, chunk) + assert match is not None + chunk_data = json.loads(match.group(1)) + + expected_chunk = f"test_{chunk_iter}" + if lora_model_id and chunk_iter == 0: + expected_chunk = f"[lora_model] {lora_model_id}: {expected_chunk}" + + if api_type == "chat": + delta = chunk_data["choices"][0]["delta"] + if chunk_iter == 0: + assert delta["role"] == "assistant" + else: + assert delta["role"] is None + assert delta["content"].strip() == expected_chunk + elif api_type == "completion": + text = chunk_data["choices"][0]["text"] + assert text.strip() == expected_chunk + + @staticmethod + def validate_embedding_response( + response: EmbeddingResponse, expected_dimensions: Optional[int] = None + ): + """Validate embedding responses.""" + assert isinstance(response, EmbeddingResponse) + assert response.object == "list" + assert len(response.data) == 1 + assert response.data[0].object == "embedding" + assert isinstance(response.data[0].embedding, list) + assert ( + len(response.data[0].embedding) > 0 + ) # Should have some embedding dimensions + assert response.data[0].index == 0 + + # Check dimensions if specified + if expected_dimensions: + assert len(response.data[0].embedding) == expected_dimensions diff --git a/python/ray/serve/llm/openai_api_models.py b/python/ray/serve/llm/openai_api_models.py index 210984cc1bd0..496cf794ac4b 100644 --- a/python/ray/serve/llm/openai_api_models.py +++ b/python/ray/serve/llm/openai_api_models.py @@ -72,14 +72,7 @@ class CompletionResponse(_CompletionResponse): pass -@PublicAPI(stability="alpha") -class EmbeddingRequest(_EmbeddingRequest): - """EmbeddingRequest is the request body for the embedding API. - - This model is compatible with vLLM's OpenAI API models. - """ - - pass +EmbeddingRequest = _EmbeddingRequest @PublicAPI(stability="alpha") diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml index 25072095a2c2..335fabd2bd73 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml @@ -6,3 +6,4 @@ accelerator_type: A10G engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 + enforce_eager: true diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml index 85530ac361f5..0d616e8f4105 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml @@ -6,3 +6,4 @@ accelerator_type: A10G engine_kwargs: max_model_len: 8192 tensor_parallel_size: 2 + enforce_eager: true diff --git a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml index 092d9660b1eb..1c1692524336 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml @@ -7,6 +7,7 @@ applications: engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 + enforce_eager: true deployment_config: autoscaling_config: min_replicas: 2 @@ -18,6 +19,7 @@ applications: engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 + enforce_eager: true deployment_config: autoscaling_config: min_replicas: 6 diff --git a/release/llm_tests/serve/configs/serve_llama_3dot2_1b_no_accelerator.yaml b/release/llm_tests/serve/configs/serve_llama_3dot2_1b_no_accelerator.yaml index d6413c4c4751..501c4b96e8be 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot2_1b_no_accelerator.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot2_1b_no_accelerator.yaml @@ -5,6 +5,7 @@ applications: model_id: meta-llama/Llama-3.2-1B-Instruct engine_kwargs: max_model_len: 8192 + enforce_eager: true import_path: ray.serve.llm:build_openai_app name: llm-endpoint route_prefix: / diff --git a/release/llm_tests/serve/configs/serve_llama_3dot2_1b_s3.yaml b/release/llm_tests/serve/configs/serve_llama_3dot2_1b_s3.yaml index f3b3a0e4f8f3..a0d025693c53 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot2_1b_s3.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot2_1b_s3.yaml @@ -9,6 +9,7 @@ applications: engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 + enforce_eager: true import_path: ray.serve.llm:build_openai_app name: llm-endpoint route_prefix: / diff --git a/release/llm_tests/serve/probes/models.py b/release/llm_tests/serve/probes/models.py index 5c067515df26..f0714c209ad9 100644 --- a/release/llm_tests/serve/probes/models.py +++ b/release/llm_tests/serve/probes/models.py @@ -97,15 +97,11 @@ def is_release_test_model(model: "openai.types.model.Model") -> bool: def is_finetuned_model(model: "openai.types.model.Model") -> bool: # If base_model_id is set, this is a finetuned model - return ( - model.model_dump().get("rayllm_metadata", {}).get("base_model_id") is not None - ) + return model.model_dump().get("metadata", {}).get("base_model_id") is not None def is_vision_language_model(model: "openai.types.model.Model") -> bool: - return ( - model.model_dump().get("rayllm_metadata", {}).get("input_modality") == "image" - ) + return model.model_dump().get("metadata", {}).get("input_modality") == "image" def is_rate_liming_test_model(model: "openai.types.model.Model") -> bool: @@ -134,7 +130,7 @@ def is_completions_only_model(model: "openai.types.model.Model") -> bool: def supports_function_calling_via_prompt(model: "openai.types.model.Model") -> bool: # True if tool template is specified in the generation config - gen_config = model.model_dump().get("rayllm_metadata", {}).get("generation", False) + gen_config = model.model_dump().get("metadata", {}).get("generation", False) if not gen_config: return False diff --git a/release/llm_tests/serve/probes/query_utils.py b/release/llm_tests/serve/probes/query_utils.py index e76d2338e3fc..e3781565de0e 100644 --- a/release/llm_tests/serve/probes/query_utils.py +++ b/release/llm_tests/serve/probes/query_utils.py @@ -42,7 +42,12 @@ def _apply_delta(base, delta): # in order to merge them, not recursively merge them. if key == "logprobs": if delta[key]: - base[key]["content"].extend(delta[key]["content"]) + cur_val = (base[key] or {}).get("content", []) or [] + cur_val.extend(delta[key]["content"]) + if base[key]: + base[key]["content"] = cur_val + else: + base[key] = {"content": cur_val} continue if isinstance(base[key], dict): @@ -97,6 +102,8 @@ def messages(self): """In case of streamed response, what are the individual chunked messages? that contain the content we care about?""" vals = [] for r in self.response: + if len(r.choices) == 0: + continue v = r.choices[0].model_dump() if "message" in v and "content" in v["message"]: vals.append(v["message"]["content"] or "") @@ -128,7 +135,11 @@ def num_completion_tokens(self): def finish_reason(self): # This should be set on the last response. - return self.response[-1].choices[0].finish_reason + for chunk in reversed(self.response): + if len(chunk.choices) > 0: + if chunk.choices[0].finish_reason: + return chunk.choices[0].finish_reason + return None class BaseProbe: @@ -171,6 +182,12 @@ async def query( "stream": stream, **chat_args, } + + if stream: + args["stream_options"] = { + "include_usage": True, + } + if chat: method = self.client.chat.completions.create else: diff --git a/release/llm_tests/serve/probes/test_basic.py b/release/llm_tests/serve/probes/test_basic.py index ca42f934095e..3b35289bb5da 100755 --- a/release/llm_tests/serve/probes/test_basic.py +++ b/release/llm_tests/serve/probes/test_basic.py @@ -160,7 +160,7 @@ async def test_too_long_completion_request( ) # XXX: AE-686 hack, should read model data instead - length = 20000 + length = 200000 if "8x22" in model: length = 70000 diff --git a/release/llm_tests/serve/probes/test_json_mode.py b/release/llm_tests/serve/probes/test_json_mode.py index a971be59c49a..0c586ae54b09 100644 --- a/release/llm_tests/serve/probes/test_json_mode.py +++ b/release/llm_tests/serve/probes/test_json_mode.py @@ -101,8 +101,11 @@ def get_params_and_expected_type(response_type: str, test_id: str): params.update( { "response_format": { - "type": "json_object", - "schema": expected_type.schema_json(), + "type": "json_schema", + "json_schema": { + "name": "expected_schema", + "schema": expected_type.model_json_schema(), + }, } } ) @@ -118,7 +121,6 @@ def get_response_formats(): {"type": "json_object", "schema": json.dumps({})}, {"type": "json_object", "schema": json.loads(BasicResponse.schema_json())}, {"type": "json_object", "schema": BasicResponse.schema_json()}, - {"type": "grammar", "grammar": JSON_GRAMMAR_EBNF_STR}, ] @@ -201,8 +203,11 @@ async def test_response_format_options( async def test_invalid_schema(model: str, openai_async_client): querier = TextGenerationProbeQuerier(openai_async_client, {"temperature": 0.0}) response_format = { - "type": "json_object", - "schema": {"type": "object", "properties": {"name": {"type": "str"}}}, + "type": "json_schema", + "json_schema": { + "name": "expected_schema", + "schema": {"type": "object", "properties": {"name": {"type": "str"}}}, + }, } params = { diff --git a/release/llm_tests/serve/probes/test_models.py b/release/llm_tests/serve/probes/test_models.py index 84d1207da673..f2ecc4a076a6 100644 --- a/release/llm_tests/serve/probes/test_models.py +++ b/release/llm_tests/serve/probes/test_models.py @@ -8,4 +8,4 @@ def test_get_model(model: str): model_description = openai_client.models.retrieve(model) assert model_description.id == model - assert "rayllm_metadata" in model_description.model_dump() + assert "metadata" in model_description.model_dump() diff --git a/release/llm_tests/serve/test_llm_serve_correctness.py b/release/llm_tests/serve/test_llm_serve_correctness.py index f995888097a4..00d914f811e1 100644 --- a/release/llm_tests/serve/test_llm_serve_correctness.py +++ b/release/llm_tests/serve/test_llm_serve_correctness.py @@ -104,12 +104,10 @@ def _start_vllm_server(self) -> str: "--port", str(vllm_port), "--distributed-executor-backend=ray", - "--generation-config=vllm", # Force vLLM to ignore HF generation_config.json "--tensor-parallel-size", str(self.tensor_parallel_size), "--pipeline-parallel-size", str(self.pipeline_parallel_size), - "--guided-decoding-backend=xgrammar", # Match Ray Serve LLM default ] self.process = subprocess.Popen(cmd) return f"http://localhost:{vllm_port}" From 66494880645f391edc590d4a514341d5b39e18a4 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Tue, 15 Jul 2025 16:42:10 -0700 Subject: [PATCH 0220/1566] [release] Add autoscaling test for GKE kuberay pipeline (#54603) Add the KubeRay variant of release test `cluster_tune_scale_up_down` to make sure autoscaling is tested on KubeRay release test GKE cluster. --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .../cpt_autoscaling_1-3_kuberay.yaml | 26 +++++++++++++++++++ release/ray_release/glue.py | 2 ++ release/release_tests.yaml | 5 ++++ 3 files changed, 33 insertions(+) create mode 100644 release/cluster_tests/cpt_autoscaling_1-3_kuberay.yaml diff --git a/release/cluster_tests/cpt_autoscaling_1-3_kuberay.yaml b/release/cluster_tests/cpt_autoscaling_1-3_kuberay.yaml new file mode 100644 index 000000000000..6d7cc0ae69ee --- /dev/null +++ b/release/cluster_tests/cpt_autoscaling_1-3_kuberay.yaml @@ -0,0 +1,26 @@ + +head_node_type: + name: head_node + instance_type: n2-standard-4 # 4 CPUs + resources: + limits: + cpu: "4" + memory: "16Gi" + requests: + cpu: "4" + memory: "16Gi" + +worker_node_types: + - name: worker_node + instance_type: n2-standard-4 + resources: + limits: + cpu: "4" + memory: "16Gi" + requests: + cpu: "4" + memory: "16Gi" + min_workers: 0 + max_workers: 2 + use_spot: false +autoscaler_version: v2 diff --git a/release/ray_release/glue.py b/release/ray_release/glue.py index c54c246ba60f..e9b4b6559ba6 100644 --- a/release/ray_release/glue.py +++ b/release/ray_release/glue.py @@ -440,6 +440,8 @@ def run_release_test_kuberay( random_suffix = "".join(random.choices(string.digits, k=8)) job_name = f"{test['name'][:20]}-{test_name_hash}-{random_suffix}".replace("_", "-") logger.info(f"Job name: {job_name}") + logger.info(f"KubeRay compute config: {kuberay_compute_config}") + logger.info(f"KubeRay autoscaler config: {kuberay_autoscaler_config}") kuberay_job_manager = KubeRayJobManager() retcode, duration = kuberay_job_manager.run_and_wait( job_name=job_name, diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 61ae867b06a0..6273cf2ae784 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -103,6 +103,11 @@ frequency: manual cluster: cluster_compute: cpt_autoscaling_1-3_gce.yaml + - __suffix__: kuberay + env: kuberay + frequency: nightly + cluster: + cluster_compute: cpt_autoscaling_1-3_kuberay.yaml alert: default From b617ee49c5bce7d0ec4d2b63dc18b2cf7fb6501c Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 15 Jul 2025 16:51:18 -0700 Subject: [PATCH 0221/1566] [Core] Remove duplicate code (#54637) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/monitor.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/python/ray/autoscaler/_private/monitor.py b/python/ray/autoscaler/_private/monitor.py index 2f814cc2385b..3f8d12596f84 100644 --- a/python/ray/autoscaler/_private/monitor.py +++ b/python/ray/autoscaler/_private/monitor.py @@ -146,12 +146,8 @@ def __init__( # TODO: eventually plumb ClusterID through to here self.gcs_client = GcsClient(address=self.gcs_address) - if monitor_ip: - monitor_addr = f"{monitor_ip}:{AUTOSCALER_METRIC_PORT}" - self.gcs_client.internal_kv_put( - b"AutoscalerMetricsAddress", monitor_addr.encode(), True, None - ) _initialize_internal_kv(self.gcs_client) + if monitor_ip: monitor_addr = f"{monitor_ip}:{AUTOSCALER_METRIC_PORT}" self.gcs_client.internal_kv_put( From b841460c3f90c969557951d9b0da3b3af0350761 Mon Sep 17 00:00:00 2001 From: vickytsang Date: Tue, 15 Jul 2025 17:14:33 -0700 Subject: [PATCH 0222/1566] [Core] Fix missing brace and add pytest for AMDGPUAcceleratorManager.get_visible_accelerator_ids_env_var (#54270) Signed-off-by: Vicky Tsang Signed-off-by: root Signed-off-by: Douglas Strodtman --- python/ray/_private/accelerators/amd_gpu.py | 4 ++-- python/ray/tests/accelerators/test_amd_gpu.py | 16 ++++++++++++++++ 2 files changed, 18 insertions(+), 2 deletions(-) diff --git a/python/ray/_private/accelerators/amd_gpu.py b/python/ray/_private/accelerators/amd_gpu.py index 3810de61232b..662e858c71b9 100644 --- a/python/ray/_private/accelerators/amd_gpu.py +++ b/python/ray/_private/accelerators/amd_gpu.py @@ -45,8 +45,8 @@ def get_visible_accelerator_ids_env_var() -> str: ) env_var = HIP_VISIBLE_DEVICES_ENV_VAR - if cuda_val := os.environ.get(CUDA_VISIBLE_DEVICES_ENV_VAR, None) is not None: - if hip_val := os.environ.get(HIP_VISIBLE_DEVICES_ENV_VAR, None) is None: + if (cuda_val := os.environ.get(CUDA_VISIBLE_DEVICES_ENV_VAR, None)) is not None: + if (hip_val := os.environ.get(HIP_VISIBLE_DEVICES_ENV_VAR, None)) is None: env_var = CUDA_VISIBLE_DEVICES_ENV_VAR elif hip_val != cuda_val: raise ValueError( diff --git a/python/ray/tests/accelerators/test_amd_gpu.py b/python/ray/tests/accelerators/test_amd_gpu.py index 4af767a4fe08..1449d392b5b3 100644 --- a/python/ray/tests/accelerators/test_amd_gpu.py +++ b/python/ray/tests/accelerators/test_amd_gpu.py @@ -79,6 +79,22 @@ def test_get_current_process_visible_accelerator_ids( ) +def test_hip_cuda_env_var_get_current_process_visible_accelerator_ids(monkeypatch): + # HIP and CUDA visible env vars are set and equal + monkeypatch.setenv("HIP_VISIBLE_DEVICES", "0,1,2") + monkeypatch.setenv("CUDA_VISIBLE_DEVICES", "0,1,2") + assert AMDGPUAcceleratorManager.get_current_process_visible_accelerator_ids() == [ + "0", + "1", + "2", + ] + + # HIP and CUDA visible env vars are set and not equal + monkeypatch.setenv("CUDA_VISIBLE_DEVICES", "0,1,3") + with pytest.raises(ValueError): + AMDGPUAcceleratorManager.get_current_process_visible_accelerator_ids() + + def test_set_current_process_visible_accelerator_ids(): AMDGPUAcceleratorManager.set_current_process_visible_accelerator_ids(["0"]) env_var = AMDGPUAcceleratorManager.get_visible_accelerator_ids_env_var() From 18243da5a29ea020b721e88efc1e2a0c4b61ff43 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 15 Jul 2025 19:37:14 -0700 Subject: [PATCH 0223/1566] [ci] verifying all llm lock files (#54640) verifying all llm lock files and uploading as artifacts requirements_compiled_rayllm_test* requirements_compiled_ray_test* requirements_compiled_rayllm* requirements_compiled_ray* --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/test_compile_llm_requirements.sh | 31 ++++--- .../requirements_compiled_ray_py311_cpu.txt | 81 +++++++++-------- .../requirements_compiled_ray_py311_cu121.txt | 81 +++++++++-------- .../requirements_compiled_ray_py311_cu128.txt | 81 +++++++++-------- ...quirements_compiled_ray_test_py311_cpu.txt | 86 +++++++++--------- ...irements_compiled_ray_test_py311_cu121.txt | 86 +++++++++--------- ...irements_compiled_ray_test_py311_cu128.txt | 86 +++++++++--------- ...rements_compiled_rayllm_test_py311_cpu.txt | 87 ++++++++++--------- ...ments_compiled_rayllm_test_py311_cu121.txt | 87 ++++++++++--------- ...ments_compiled_rayllm_test_py311_cu128.txt | 86 +++++++++--------- 10 files changed, 425 insertions(+), 367 deletions(-) diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index 81f25a560e27..6351add67743 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -18,24 +18,33 @@ trap cleanup EXIT echo "Created temporary directory: $TEMP_DIR" # Create backup copies of req files to reference to -cp ./python/requirements_compiled_rayllm_py311_cpu.txt "$TEMP_DIR/requirements_compiled_rayllm_py311_cpu_backup.txt" -cp ./python/requirements_compiled_rayllm_py311_cu121.txt "$TEMP_DIR/requirements_compiled_rayllm_py311_cu121_backup.txt" -cp ./python/requirements_compiled_rayllm_py311_cu128.txt "$TEMP_DIR/requirements_compiled_rayllm_py311_cu128_backup.txt" +LOCK_TYPES=(rayllm_test ray_test ray rayllm) +VARIANTS=(cpu cu121 cu128) + +for LOCK_TYPE in "${LOCK_TYPES[@]}"; do + for VARIANT in "${VARIANTS[@]}"; do + cp ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt "$TEMP_DIR/requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}_backup.txt" + done +done ./ci/compile_llm_requirements.sh # Copy files to artifact mount on Buildkite -cp ./python/requirements_compiled_rayllm_py311_cpu.txt /artifact-mount/ -cp ./python/requirements_compiled_rayllm_py311_cu121.txt /artifact-mount/ -cp ./python/requirements_compiled_rayllm_py311_cu128.txt /artifact-mount/ +for LOCK_TYPE in "${LOCK_TYPES[@]}"; do + for VARIANT in "${VARIANTS[@]}"; do + cp ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt /artifact-mount/ + done +done # Check all files and print if files are not up to date FAILED=0 -for VARIANT in cpu cu121 cu128; do - diff --color -u ./python/requirements_compiled_rayllm_py311_${VARIANT}.txt "$TEMP_DIR/requirements_compiled_rayllm_py311_${VARIANT}_backup.txt" || { - echo "requirements_compiled_rayllm_py311_${VARIANT}.txt is not up to date. Please download it from Artifacts tab and git push the changes." - FAILED=1 - } +for LOCK_TYPE in "${LOCK_TYPES[@]}"; do + for VARIANT in "${VARIANTS[@]}"; do + diff --color -u ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt "$TEMP_DIR/requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}_backup.txt" || { + echo "requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}.txt is not up to date. Please download it from Artifacts tab and git push the changes." + FAILED=1 + } + done done if [[ $FAILED -eq 1 ]]; then exit 1 diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 803a1af0e06a..f7ad9b2e7e01 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -1108,7 +1108,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -1427,43 +1426,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index 691cd71c57a8..47e82af00132 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -1108,7 +1108,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -1427,43 +1426,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index 6b2d877623ff..1433c01ac3f2 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -1072,7 +1072,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -1391,43 +1390,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index 2678022dfa07..4772303f8e8a 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -1709,7 +1709,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2121,43 +2120,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2926,8 +2931,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 636699ca5f73..12c62ed76281 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -1709,7 +1709,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2121,43 +2120,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2926,8 +2931,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 7d73958faef5..fb8df2aeb0cf 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -1709,7 +1709,6 @@ numpy==1.26.4 \ # gymnasium # imageio # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2121,43 +2120,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -2926,8 +2931,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 326f0b650060..7cecf114ed1f 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -2248,7 +2248,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2741,43 +2740,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt @@ -4064,9 +4069,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index b522d0fb51bb..a87f2a6467f1 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -2248,7 +2248,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2832,43 +2831,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt @@ -4184,9 +4189,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 124036bd3557..b4cbf4852c68 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -2211,7 +2211,6 @@ numpy==1.26.4 \ # opencv-python-headless # outlines # pandas - # pyarrow # scikit-image # scipy # tensorboardx @@ -2755,43 +2754,49 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -pyarrow==14.0.2 \ - --hash=sha256:059bd8f12a70519e46cd64e1ba40e97eae55e0cbe1695edd95384653d7626b23 \ - --hash=sha256:06ff1264fe4448e8d02073f5ce45a9f934c0f3db0a04460d0b01ff28befc3696 \ - --hash=sha256:1e6987c5274fb87d66bb36816afb6f65707546b3c45c44c28e3c4133c010a881 \ - --hash=sha256:209bac546942b0d8edc8debda248364f7f668e4aad4741bae58e67d40e5fcf75 \ - --hash=sha256:20e003a23a13da963f43e2b432483fdd8c38dc8882cd145f09f21792e1cf22a1 \ - --hash=sha256:22a768987a16bb46220cef490c56c671993fbee8fd0475febac0b3e16b00a10e \ - --hash=sha256:2cc61593c8e66194c7cdfae594503e91b926a228fba40b5cf25cc593563bcd07 \ - --hash=sha256:2dbba05e98f247f17e64303eb876f4a80fcd32f73c7e9ad975a83834d81f3fda \ - --hash=sha256:32356bfb58b36059773f49e4e214996888eeea3a08893e7dbde44753799b2a02 \ - --hash=sha256:36cef6ba12b499d864d1def3e990f97949e0b79400d08b7cf74504ffbd3eb025 \ - --hash=sha256:37c233ddbce0c67a76c0985612fef27c0c92aef9413cf5aa56952f359fcb7379 \ - --hash=sha256:3c0fa3bfdb0305ffe09810f9d3e2e50a2787e3a07063001dcd7adae0cee3601a \ - --hash=sha256:3f16111f9ab27e60b391c5f6d197510e3ad6654e73857b4e394861fc79c37200 \ - --hash=sha256:52809ee69d4dbf2241c0e4366d949ba035cbcf48409bf404f071f624ed313a2b \ - --hash=sha256:5c1da70d668af5620b8ba0a23f229030a4cd6c5f24a616a146f30d2386fec422 \ - --hash=sha256:63ac901baec9369d6aae1cbe6cca11178fb018a8d45068aaf5bb54f94804a866 \ - --hash=sha256:64df2bf1ef2ef14cee531e2dfe03dd924017650ffaa6f9513d7a1bb291e59c15 \ - --hash=sha256:66e986dc859712acb0bd45601229021f3ffcdfc49044b64c6d071aaf4fa49e98 \ - --hash=sha256:6dd4f4b472ccf4042f1eab77e6c8bce574543f54d2135c7e396f413046397d5a \ - --hash=sha256:75ee0efe7a87a687ae303d63037d08a48ef9ea0127064df18267252cfe2e9541 \ - --hash=sha256:76fc257559404ea5f1306ea9a3ff0541bf996ff3f7b9209fc517b5e83811fa8e \ - --hash=sha256:78ea56f62fb7c0ae8ecb9afdd7893e3a7dbeb0b04106f5c08dbb23f9c0157591 \ - --hash=sha256:87482af32e5a0c0cce2d12eb3c039dd1d853bd905b04f3f953f147c7a196915b \ - --hash=sha256:87e879323f256cb04267bb365add7208f302df942eb943c93a9dfeb8f44840b1 \ - --hash=sha256:a01d0052d2a294a5f56cc1862933014e696aa08cc7b620e8c0cce5a5d362e976 \ - --hash=sha256:a25eb2421a58e861f6ca91f43339d215476f4fe159eca603c55950c14f378cc5 \ - --hash=sha256:a51fee3a7db4d37f8cda3ea96f32530620d43b0489d169b285d774da48ca9785 \ - --hash=sha256:a898d134d00b1eca04998e9d286e19653f9d0fcb99587310cd10270907452a6b \ - --hash=sha256:b0c4a18e00f3a32398a7f31da47fefcd7a927545b396e1f15d0c85c2f2c778cd \ - --hash=sha256:ba9fe808596c5dbd08b3aeffe901e5f81095baaa28e7d5118e01354c64f22807 \ - --hash=sha256:c65bf4fd06584f058420238bc47a316e80dda01ec0dfb3044594128a6c2db794 \ - --hash=sha256:c87824a5ac52be210d32906c715f4ed7053d0180c1060ae3ff9b7e560f53f944 \ - --hash=sha256:e354fba8490de258be7687f341bc04aba181fc8aa1f71e4584f9890d9cb2dec2 \ - --hash=sha256:e4b123ad0f6add92de898214d404e488167b87b5dd86e9a434126bc2b7a5578d \ - --hash=sha256:f7d029f20ef56673a9730766023459ece397a05001f4e4d13805111d7c2108c0 \ - --hash=sha256:fc0de7575e841f1595ac07e5bc631084fd06ca8b03c0f2ecece733d23cd5102a +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt @@ -4077,8 +4082,9 @@ tornado==6.1 \ # nbclassic # notebook # terminado -tqdm==4.64.1 \ - --hash=sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1 +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt From 3e19ce88a8d01753bc0a6d00636980d7dc01810b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 15 Jul 2025 21:51:56 -0700 Subject: [PATCH 0224/1566] [ci] raydepsets: moving uv binary (#54641) moving uv binary to be used by raydepsets instead of tests Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 12 ++++++++++++ ci/raydepsets/test_cli.py | 18 ++++-------------- 2 files changed, 16 insertions(+), 14 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 8b7209974e19..045106eb4eee 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,6 +1,8 @@ import click from pathlib import Path from ci.raydepsets.workspace import Workspace, Depset +import platform +import runfiles @click.group(name="raydepsets") @@ -30,3 +32,13 @@ def get_depset(self, name: str) -> Depset: if depset.name == name: return depset raise KeyError(f"Dependency set {name} not found") + + +def uv_binary(): + r = runfiles.Create() + system = platform.system() + if system != "Linux" or platform.processor() != "x86_64": + raise RuntimeError( + f"Unsupported platform/processor: {system}/{platform.processor()}" + ) + return r.Rlocation("uv_x86_64/uv-x86_64-unknown-linux-gnu/uv") diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 74e5bad750f4..e6e35c709158 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -2,11 +2,10 @@ import sys import unittest import tempfile -import runfiles import subprocess -import platform import shutil -from ci.raydepsets.cli import load, DependencySetManager +import runfiles +from ci.raydepsets.cli import load, DependencySetManager, uv_binary from ci.raydepsets.workspace import Workspace from click.testing import CliRunner @@ -64,11 +63,11 @@ def test_dependency_set_manager_get_depset(self): manager.get_depset("fake_depset") def test_uv_binary_exists(self): - assert _uv_binary() is not None + assert uv_binary() is not None def test_uv_version(self): result = subprocess.run( - [_uv_binary(), "--version"], + [uv_binary(), "--version"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) @@ -77,15 +76,6 @@ def test_uv_version(self): assert result.stderr.decode("utf-8") == "" -def _uv_binary(): - system = platform.system() - if system != "Linux" or platform.processor() != "x86_64": - raise RuntimeError( - f"Unsupported platform/processor: {system}/{platform.processor()}" - ) - return _runfiles.Rlocation("uv_x86_64/uv-x86_64-unknown-linux-gnu/uv") - - def _copy_data_to_tmpdir(tmpdir): shutil.copytree( _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/test_data"), From bc5d42a6ae8fcaf33c08f2783233680acf816b2e Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 16 Jul 2025 00:23:49 -0700 Subject: [PATCH 0225/1566] Add perf metrics for 2.48.0 (#54647) ``` REGRESSION 4.48%: tasks_per_second (THROUGHPUT) regresses from 381.53414000942394 to 364.43726497335643 in benchmarks/many_tasks.json REGRESSION 4.42%: single_client_tasks_and_get_batch (THROUGHPUT) regresses from 6.069186157221194 to 5.800654754787365 in microbenchmark.json REGRESSION 4.21%: multi_client_tasks_async (THROUGHPUT) regresses from 22162.855018822152 to 21229.843138559452 in microbenchmark.json REGRESSION 3.19%: 1_n_async_actor_calls_async (THROUGHPUT) regresses from 7625.6992962916975 to 7382.681881276498 in microbenchmark.json REGRESSION 2.19%: 1_1_async_actor_calls_with_args_async (THROUGHPUT) regresses from 2899.87628971332 to 2836.298297310687 in microbenchmark.json REGRESSION 2.04%: single_client_get_calls_Plasma_Store (THROUGHPUT) regresses from 10841.440823259276 to 10620.405550394937 in microbenchmark.json REGRESSION 1.45%: multi_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 16769.891858063707 to 16526.35985553258 in microbenchmark.json REGRESSION 0.57%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1468.0999827232097 to 1459.7289131365046 in microbenchmark.json REGRESSION 0.51%: pgs_per_second (THROUGHPUT) regresses from 13.282795863244178 to 13.215254403739163 in benchmarks/many_pgs.json REGRESSION 0.47%: tasks_per_second (THROUGHPUT) regresses from 192.87246715163326 to 191.95909855877267 in benchmarks/many_nodes.json REGRESSION 37.53%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.597426240999994 to 17.324763202 in scalability/object_store.json REGRESSION 23.25%: dashboard_p99_latency_ms (LATENCY) regresses from 44.385 to 54.703 in benchmarks/many_nodes.json REGRESSION 10.01%: dashboard_p50_latency_ms (LATENCY) regresses from 4.797 to 5.277 in benchmarks/many_tasks.json REGRESSION 6.81%: 3000_returns_time (LATENCY) regresses from 5.7005318469999935 to 6.088559257 in scalability/single_node.json REGRESSION 6.65%: stage_0_time (LATENCY) regresses from 6.885871648788452 to 7.344109535217285 in stress_tests/stress_test_many_tasks.json REGRESSION 6.50%: dashboard_p50_latency_ms (LATENCY) regresses from 8.779 to 9.35 in benchmarks/many_actors.json REGRESSION 6.03%: dashboard_p95_latency_ms (LATENCY) regresses from 12.541 to 13.297 in benchmarks/many_nodes.json REGRESSION 5.35%: stage_1_avg_iteration_time (LATENCY) regresses from 12.311162948608398 to 12.96969530582428 in stress_tests/stress_test_many_tasks.json REGRESSION 3.67%: stage_4_spread (LATENCY) regresses from 0.4685331640891067 to 0.48570817077228695 in stress_tests/stress_test_many_tasks.json REGRESSION 3.14%: dashboard_p99_latency_ms (LATENCY) regresses from 763.093 to 787.075 in benchmarks/many_tasks.json REGRESSION 1.30%: dashboard_p95_latency_ms (LATENCY) regresses from 486.283 to 492.608 in benchmarks/many_tasks.json REGRESSION 1.09%: stage_2_avg_iteration_time (LATENCY) regresses from 33.59187984466553 to 33.957920932769774 in stress_tests/stress_test_many_tasks.json REGRESSION 0.26%: 107374182400_large_object_time (LATENCY) regresses from 31.951921509999977 to 32.03462247800002 in scalability/single_node.json REGRESSION 0.23%: stage_3_time (LATENCY) regresses from 1822.3623061180115 to 1826.5975222587585 in stress_tests/stress_test_many_tasks.json REGRESSION 0.18%: 10000_get_time (LATENCY) regresses from 23.034279295000005 to 23.075941746000012 in scalability/single_node.json REGRESSION 0.09%: 10000_args_time (LATENCY) regresses from 18.828636121000002 to 18.84486551900001 in scalability/single_node.json ``` Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .../perf_metrics/benchmarks/many_actors.json | 18 +- .../perf_metrics/benchmarks/many_nodes.json | 18 +- release/perf_metrics/benchmarks/many_pgs.json | 18 +- .../perf_metrics/benchmarks/many_tasks.json | 16 +- release/perf_metrics/metadata.json | 2 +- release/perf_metrics/microbenchmark.json | 186 +++++++++--------- .../scalability/object_store.json | 4 +- .../perf_metrics/scalability/single_node.json | 20 +- .../stress_tests/stress_test_dead_actors.json | 10 +- .../stress_tests/stress_test_many_tasks.json | 36 ++-- .../stress_test_placement_group.json | 8 +- 11 files changed, 168 insertions(+), 168 deletions(-) diff --git a/release/perf_metrics/benchmarks/many_actors.json b/release/perf_metrics/benchmarks/many_actors.json index d95a505ce62b..3887e4d4e6fb 100644 --- a/release/perf_metrics/benchmarks/many_actors.json +++ b/release/perf_metrics/benchmarks/many_actors.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 89.755648, + "_dashboard_memory_usage_mb": 110.235648, "_dashboard_test_success": true, - "_peak_memory": 4.29, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n1159\t7.51GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3382\t1.86GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4875\t0.86GiB\tpython distributed/test_many_actors.py\n2702\t0.42GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3582\t0.2GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import spa\n585\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3498\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4100\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n2962\t0.08GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4102\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", - "actors_per_second": 553.5098466276525, + "_peak_memory": 4.85, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n1129\t7.16GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3533\t2.04GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4961\t1.06GiB\tpython distributed/test_many_actors.py\n3034\t0.46GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3734\t0.32GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n585\t0.2GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3649\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4254\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3001\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4256\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "actors_per_second": 657.1702061376596, "num_actors": 10000, "perf_metrics": [ { "perf_metric_name": "actors_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 553.5098466276525 + "perf_metric_value": 657.1702061376596 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 8.779 + "perf_metric_value": 9.35 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 3114.217 + "perf_metric_value": 2197.485 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 4934.573 + "perf_metric_value": 2572.496 } ], "success": "1", - "time": 18.06652593612671 + "time": 15.216758012771606 } diff --git a/release/perf_metrics/benchmarks/many_nodes.json b/release/perf_metrics/benchmarks/many_nodes.json index 6b358408dc28..5359354d5066 100644 --- a/release/perf_metrics/benchmarks/many_nodes.json +++ b/release/perf_metrics/benchmarks/many_nodes.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 94.80192, + "_dashboard_memory_usage_mb": 96.54272, "_dashboard_test_success": true, - "_peak_memory": 2.25, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3683\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2672\t0.29GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5140\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n1070\t0.14GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3887\t0.13GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import spa\n4394\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n5449\t0.09GiB\tray::StateAPIGeneratorActor.start\n3799\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2566\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3890\t0.08GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import sp", + "_peak_memory": 2.26, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3357\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2796\t0.28GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5171\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3555\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1083\t0.13GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4094\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n2769\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5398\t0.09GiB\tray::StateAPIGeneratorActor.start\n3473\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4096\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", "num_tasks": 1000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 192.87246715163326 + "perf_metric_value": 191.95909855877267 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 5.69 + "perf_metric_value": 5.204 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 12.541 + "perf_metric_value": 13.297 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 44.385 + "perf_metric_value": 54.703 } ], "success": "1", - "tasks_per_second": 192.87246715163326, - "time": 305.1847732067108, + "tasks_per_second": 191.95909855877267, + "time": 305.2094430923462, "used_cpus": 250.0 } diff --git a/release/perf_metrics/benchmarks/many_pgs.json b/release/perf_metrics/benchmarks/many_pgs.json index ec2351f9a1b1..d6c4288e5a3d 100644 --- a/release/perf_metrics/benchmarks/many_pgs.json +++ b/release/perf_metrics/benchmarks/many_pgs.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 96.088064, + "_dashboard_memory_usage_mb": 93.515776, "_dashboard_test_success": true, - "_peak_memory": 2.7, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n2031\t7.28GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3407\t0.91GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4846\t0.37GiB\tpython distributed/test_many_pgs.py\n2948\t0.32GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n580\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n2641\t0.11GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n4125\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3605\t0.09GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import spa\n2820\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3523\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash", + "_peak_memory": 2.69, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n1130\t7.9GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3522\t0.91GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4967\t0.36GiB\tpython distributed/test_many_pgs.py\n2980\t0.32GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n580\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4243\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3724\t0.09GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2794\t0.09GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n3106\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3642\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash", "num_pgs": 1000, "perf_metrics": [ { "perf_metric_name": "pgs_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 13.282795863244178 + "perf_metric_value": 13.215254403739163 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 4.298 + "perf_metric_value": 4.194 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 9.186 + "perf_metric_value": 7.454 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 412.087 + "perf_metric_value": 219.05 } ], - "pgs_per_second": 13.282795863244178, + "pgs_per_second": 13.215254403739163, "success": "1", - "time": 75.28535485267639 + "time": 75.67012858390808 } diff --git a/release/perf_metrics/benchmarks/many_tasks.json b/release/perf_metrics/benchmarks/many_tasks.json index a643012a2fa4..0a045a0a839e 100644 --- a/release/perf_metrics/benchmarks/many_tasks.json +++ b/release/perf_metrics/benchmarks/many_tasks.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 110.903296, + "_dashboard_memory_usage_mb": 95.08864, "_dashboard_test_success": true, "_peak_memory": 3.91, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3415\t1.09GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4873\t0.75GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3615\t0.45GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import spa\n2685\t0.29GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3618\t0.18GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c from multiprocessing.spawn import sp\n2051\t0.12GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4122\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3531\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n5038\t0.09GiB\tray::DashboardTester.run\n5103\t0.08GiB\tray::StateAPIGeneratorActor.start", + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3526\t1.07GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5070\t0.75GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3724\t0.45GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3054\t0.29GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3727\t0.2GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n1120\t0.12GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4243\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3642\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3021\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5380\t0.09GiB\tray::StateAPIGeneratorActor.start", "num_tasks": 10000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 381.53414000942394 + "perf_metric_value": 364.43726497335643 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 4.797 + "perf_metric_value": 5.277 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 486.283 + "perf_metric_value": 492.608 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 763.093 + "perf_metric_value": 787.075 } ], "success": "1", - "tasks_per_second": 381.53414000942394, - "time": 326.20997428894043, + "tasks_per_second": 364.43726497335643, + "time": 327.4395649433136, "used_cpus": 2500.0 } diff --git a/release/perf_metrics/metadata.json b/release/perf_metrics/metadata.json index f7f33ba0cc4e..f185fe20125d 100644 --- a/release/perf_metrics/metadata.json +++ b/release/perf_metrics/metadata.json @@ -1 +1 @@ -{"release_version": "2.47.0"} +{"release_version": "2.48.0"} diff --git a/release/perf_metrics/microbenchmark.json b/release/perf_metrics/microbenchmark.json index 81ecdb051f33..abd2e5ee7bcb 100644 --- a/release/perf_metrics/microbenchmark.json +++ b/release/perf_metrics/microbenchmark.json @@ -1,283 +1,283 @@ { "1_1_actor_calls_async": [ - 8219.795071008975, - 188.48085637821475 + 8663.654839458402, + 182.98906836658583 ], "1_1_actor_calls_concurrent": [ - 5377.1496113254725, - 129.23618916367775 + 5775.020315522301, + 166.03207664123752 ], "1_1_actor_calls_sync": [ - 1959.5608579309087, - 40.05183288077636 + 2011.916260420167, + 34.20258828426277 ], "1_1_async_actor_calls_async": [ - 4171.456937936633, - 195.42830490503232 + 4259.771844696956, + 244.58821485834815 ], "1_1_async_actor_calls_sync": [ - 1468.0999827232097, - 23.907868237519033 + 1459.7289131365046, + 14.372300668103277 ], "1_1_async_actor_calls_with_args_async": [ - 2899.87628971332, - 104.68861949721845 + 2836.298297310687, + 165.56556787435736 ], "1_n_actor_calls_async": [ - 8008.806358661164, - 94.9223246657888 + 8038.166251679982, + 223.66382715772104 ], "1_n_async_actor_calls_async": [ - 7625.6992962916975, - 77.78852390836784 + 7382.681881276498, + 130.69555045858203 ], "client__1_1_actor_calls_async": [ - 1065.4228066614364, - 8.475130628383317 + 1098.863141897179, + 11.579112801667774 ], "client__1_1_actor_calls_concurrent": [ - 1051.155045997863, - 7.587242014430166 + 1085.0288964711467, + 4.148700210547401 ], "client__1_1_actor_calls_sync": [ - 530.5569126625701, - 3.4917100983628964 + 537.8164788509748, + 4.282391401398279 ], "client__get_calls": [ - 1018.2939193917422, - 68.37887040310822 + 1159.3513798913632, + 25.153079890432657 ], "client__put_calls": [ - 805.9876892520514, - 20.246218021849156 + 817.4136861603523, + 35.13575238987404 ], "client__put_gigabytes": [ - 0.1525808986433169, - 0.0005260267465087514 + 0.1559990403715773, + 0.0006899703405647251 ], "client__tasks_and_get_batch": [ - 0.909684480871914, - 0.04209123366651788 + 1.009944931213749, + 0.0320718636380897 ], "client__tasks_and_put_batch": [ - 14411.155262801181, - 565.6637142873228 + 14560.030073574557, + 146.72299114824276 ], "multi_client_put_calls_Plasma_Store": [ - 16769.891858063707, - 160.7727767543324 + 16526.35985553258, + 400.3514368958908 ], "multi_client_put_gigabytes": [ - 37.84234603653026, - 1.9543159500637872 + 38.137310138893675, + 1.3860853941620797 ], "multi_client_tasks_async": [ - 22162.855018822152, - 1636.6665214042862 + 21229.843138559452, + 1404.0869837056882 ], "n_n_actor_calls_async": [ - 27105.63998087682, - 858.8741533351254 + 27375.624367126635, + 674.8368191945152 ], "n_n_actor_calls_with_arg_async": [ - 2723.737298735755, - 15.223156908588408 + 2759.3212097473174, + 60.45186810112816 ], "n_n_async_actor_calls_async": [ - 23052.03512506016, - 818.6796601118019 + 23674.50106467489, + 547.7052271058876 ], "perf_metrics": [ { "perf_metric_name": "single_client_get_calls_Plasma_Store", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 10841.440823259276 + "perf_metric_value": 10620.405550394937 }, { "perf_metric_name": 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"perf_metric_type": "THROUGHPUT", - "perf_metric_value": 4171.456937936633 + "perf_metric_value": 4259.771844696956 }, { "perf_metric_name": "1_1_async_actor_calls_with_args_async", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 2899.87628971332 + "perf_metric_value": 2836.298297310687 }, { "perf_metric_name": "1_n_async_actor_calls_async", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 7625.6992962916975 + "perf_metric_value": 7382.681881276498 }, { "perf_metric_name": "n_n_async_actor_calls_async", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 23052.03512506016 + "perf_metric_value": 23674.50106467489 }, { "perf_metric_name": "placement_group_create/removal", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 762.110356621388 + "perf_metric_value": 764.5677165695956 }, { "perf_metric_name": "client__get_calls", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 1018.2939193917422 + "perf_metric_value": 1159.3513798913632 }, { "perf_metric_name": "client__put_calls", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 805.9876892520514 + "perf_metric_value": 817.4136861603523 }, { "perf_metric_name": "client__put_gigabytes", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 0.1525808986433169 + "perf_metric_value": 0.1559990403715773 }, { "perf_metric_name": "client__tasks_and_put_batch", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 14411.155262801181 + "perf_metric_value": 14560.030073574557 }, { "perf_metric_name": "client__1_1_actor_calls_sync", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 530.5569126625701 + "perf_metric_value": 537.8164788509748 }, { "perf_metric_name": "client__1_1_actor_calls_async", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 1065.4228066614364 + "perf_metric_value": 1098.863141897179 }, { "perf_metric_name": "client__1_1_actor_calls_concurrent", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 1051.155045997863 + 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"single_client_tasks_async": [ - 7971.849053459262, - 344.6188539061271 + 8040.530786886751, + 508.5067401143829 ], "single_client_tasks_sync": [ - 961.1131766783709, - 17.69357028295797 + 980.7121217208985, + 15.070879654529714 ], "single_client_wait_1k_refs": [ - 4.895502802318484, - 0.03612176674731559 + 5.079952667320649, + 0.11950057107198113 ] } diff --git a/release/perf_metrics/scalability/object_store.json b/release/perf_metrics/scalability/object_store.json index 44e3d221e636..367cb088c4bb 100644 --- a/release/perf_metrics/scalability/object_store.json +++ b/release/perf_metrics/scalability/object_store.json @@ -1,12 +1,12 @@ { - "broadcast_time": 12.597426240999994, + "broadcast_time": 17.324763202, "num_nodes": 50, "object_size": 1073741824, "perf_metrics": [ { "perf_metric_name": "time_to_broadcast_1073741824_bytes_to_50_nodes", "perf_metric_type": "LATENCY", - "perf_metric_value": 12.597426240999994 + "perf_metric_value": 17.324763202 } ], "success": "1" diff --git a/release/perf_metrics/scalability/single_node.json b/release/perf_metrics/scalability/single_node.json index b4ba46491a41..bc2cd08fe8df 100644 --- a/release/perf_metrics/scalability/single_node.json +++ b/release/perf_metrics/scalability/single_node.json @@ -1,8 +1,8 @@ { - "args_time": 18.828636121000002, - "get_time": 23.034279295000005, + "args_time": 18.84486551900001, + "get_time": 23.075941746000012, "large_object_size": 107374182400, - "large_object_time": 31.951921509999977, + "large_object_time": 32.03462247800002, "num_args": 10000, "num_get_args": 10000, "num_queued": 1000000, @@ -11,30 +11,30 @@ { "perf_metric_name": "10000_args_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 18.828636121000002 + "perf_metric_value": 18.84486551900001 }, { "perf_metric_name": "3000_returns_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 5.7005318469999935 + "perf_metric_value": 6.088559257 }, { "perf_metric_name": "10000_get_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 23.034279295000005 + "perf_metric_value": 23.075941746000012 }, { "perf_metric_name": "1000000_queued_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 199.80789056199998 + "perf_metric_value": 199.176572467 }, { "perf_metric_name": "107374182400_large_object_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 31.951921509999977 + "perf_metric_value": 32.03462247800002 } ], - "queued_time": 199.80789056199998, - "returns_time": 5.7005318469999935, + "queued_time": 199.176572467, + "returns_time": 6.088559257, "success": "1" } diff --git a/release/perf_metrics/stress_tests/stress_test_dead_actors.json b/release/perf_metrics/stress_tests/stress_test_dead_actors.json index 1cfa76a1fc6f..7daf8903fe7f 100644 --- a/release/perf_metrics/stress_tests/stress_test_dead_actors.json +++ b/release/perf_metrics/stress_tests/stress_test_dead_actors.json @@ -1,14 +1,14 @@ { - "avg_iteration_time": 1.2696449542045594, - "max_iteration_time": 4.179541110992432, - "min_iteration_time": 0.034151315689086914, + "avg_iteration_time": 1.1874613547325135, + "max_iteration_time": 3.250436544418335, + "min_iteration_time": 0.05550789833068848, "perf_metrics": [ { "perf_metric_name": "avg_iteration_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.2696449542045594 + "perf_metric_value": 1.1874613547325135 } ], "success": 1, - "total_time": 126.96463394165039 + "total_time": 118.7462546825409 } diff --git a/release/perf_metrics/stress_tests/stress_test_many_tasks.json b/release/perf_metrics/stress_tests/stress_test_many_tasks.json index 6200a22102b7..accdf6d571e9 100644 --- a/release/perf_metrics/stress_tests/stress_test_many_tasks.json +++ b/release/perf_metrics/stress_tests/stress_test_many_tasks.json @@ -3,45 +3,45 @@ { "perf_metric_name": "stage_0_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 6.885871648788452 + "perf_metric_value": 7.344109535217285 }, { "perf_metric_name": "stage_1_avg_iteration_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 12.311162948608398 + "perf_metric_value": 12.96969530582428 }, { "perf_metric_name": "stage_2_avg_iteration_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 33.59187984466553 + "perf_metric_value": 33.957920932769774 }, { "perf_metric_name": "stage_3_creation_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 2.0375380516052246 + "perf_metric_value": 1.8526091575622559 }, { "perf_metric_name": "stage_3_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 1822.3623061180115 + "perf_metric_value": 1826.5975222587585 }, { "perf_metric_name": "stage_4_spread", "perf_metric_type": "LATENCY", - "perf_metric_value": 0.4685331640891067 + "perf_metric_value": 0.48570817077228695 } ], - "stage_0_time": 6.885871648788452, - "stage_1_avg_iteration_time": 12.311162948608398, - "stage_1_max_iteration_time": 12.973528861999512, - "stage_1_min_iteration_time": 10.784329891204834, - "stage_1_time": 123.11168432235718, - "stage_2_avg_iteration_time": 33.59187984466553, - "stage_2_max_iteration_time": 34.43732571601868, - "stage_2_min_iteration_time": 33.067967653274536, - "stage_2_time": 167.95994234085083, - "stage_3_creation_time": 2.0375380516052246, - "stage_3_time": 1822.3623061180115, - "stage_4_spread": 0.4685331640891067, + "stage_0_time": 7.344109535217285, + "stage_1_avg_iteration_time": 12.96969530582428, + "stage_1_max_iteration_time": 13.717556715011597, + "stage_1_min_iteration_time": 11.527287244796753, + "stage_1_time": 129.69700860977173, + "stage_2_avg_iteration_time": 33.957920932769774, + "stage_2_max_iteration_time": 34.32049250602722, + "stage_2_min_iteration_time": 33.68821382522583, + "stage_2_time": 169.79015111923218, + "stage_3_creation_time": 1.8526091575622559, + "stage_3_time": 1826.5975222587585, + "stage_4_spread": 0.48570817077228695, "success": 1 } diff --git a/release/perf_metrics/stress_tests/stress_test_placement_group.json b/release/perf_metrics/stress_tests/stress_test_placement_group.json index 2039448a3abf..2ef542254e31 100644 --- a/release/perf_metrics/stress_tests/stress_test_placement_group.json +++ b/release/perf_metrics/stress_tests/stress_test_placement_group.json @@ -1,16 +1,16 @@ { - "avg_pg_create_time_ms": 1.4907771591586358, - "avg_pg_remove_time_ms": 1.2416502777781075, + "avg_pg_create_time_ms": 1.4493968768766456, + "avg_pg_remove_time_ms": 1.2057934429429915, "perf_metrics": [ { "perf_metric_name": "avg_pg_create_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.4907771591586358 + "perf_metric_value": 1.4493968768766456 }, { "perf_metric_name": "avg_pg_remove_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.2416502777781075 + "perf_metric_value": 1.2057934429429915 } ], "success": 1 From 649e7515c3e299abc15059aef29db45154a67758 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Wed, 16 Jul 2025 08:34:01 -0700 Subject: [PATCH 0226/1566] [llm] add hf_transfer to dependencies by default (#54643) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- python/requirements/llm/llm-requirements.txt | 1 + ...requirements_compiled_rayllm_py311_cpu.txt | 29 +++++++++++++++++++ ...quirements_compiled_rayllm_py311_cu121.txt | 29 +++++++++++++++++++ ...quirements_compiled_rayllm_py311_cu128.txt | 29 +++++++++++++++++++ ...rements_compiled_rayllm_test_py311_cpu.txt | 27 +++++++++++++++++ ...ments_compiled_rayllm_test_py311_cu121.txt | 27 +++++++++++++++++ ...ments_compiled_rayllm_test_py311_cu128.txt | 27 +++++++++++++++++ python/setup.py | 1 + 8 files changed, 170 insertions(+) diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index 899e8636de50..7b956730c603 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -9,3 +9,4 @@ async-timeout; python_version < '3.11' typer meson pybind11 +hf_transfer diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index e5cc25e655b8..45c4f8c743bf 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -884,6 +884,35 @@ h11==0.16.0 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # httpcore # uvicorn +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.2 \ --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 86efc774460c..c4b1ac399b78 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -884,6 +884,35 @@ h11==0.16.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # httpcore # uvicorn +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.2 \ --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index cee934f3094c..f3b22e0f2fa3 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -884,6 +884,35 @@ h11==0.16.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # httpcore # uvicorn +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.3 \ --hash=sha256:30c575a5306f8e6fda37edb866762140a435037365eba7a17ce7bd0bc0216a8b \ --hash=sha256:7c1a6aa6abed1f696f8099aa9796ca04c9ee778a58728a115607de9cc4638ff1 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 7cecf114ed1f..14f0116dbf7b 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1163,6 +1163,33 @@ halo==0.0.31 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.2 \ --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index a87f2a6467f1..0c90eebd3b1d 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1163,6 +1163,33 @@ halo==0.0.31 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.2 \ --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index b4cbf4852c68..5d09d0728bad 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1162,6 +1162,33 @@ halo==0.0.31 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt +hf-transfer==0.1.9 \ + --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ + --hash=sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8 \ + --hash=sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad \ + --hash=sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d \ + --hash=sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2 \ + --hash=sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4 \ + --hash=sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0 \ + --hash=sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e \ + --hash=sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567 \ + --hash=sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9 \ + --hash=sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42 \ + --hash=sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751 \ + --hash=sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6 \ + --hash=sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a \ + --hash=sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82 \ + --hash=sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916 \ + --hash=sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8 \ + --hash=sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538 \ + --hash=sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557 \ + --hash=sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746 \ + --hash=sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5 \ + --hash=sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b \ + --hash=sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e \ + --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ + --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d + # via -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.3 \ --hash=sha256:30c575a5306f8e6fda37edb866762140a435037365eba7a17ce7bd0bc0216a8b \ --hash=sha256:7c1a6aa6abed1f696f8099aa9796ca04c9ee778a58728a115607de9cc4638ff1 \ diff --git a/python/setup.py b/python/setup.py index c361001324d4..18eb95a7c0db 100644 --- a/python/setup.py +++ b/python/setup.py @@ -362,6 +362,7 @@ def get_packages(self): # async-timeout is a backport of asyncio.timeout for python < 3.11 "async-timeout; python_version < '3.11'", "typer", + "hf_transfer", ] + setup_spec.extras["data"] + setup_spec.extras["serve"] From fde483dd3489f41ada8053ca5dca8b683e167b6f Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 16 Jul 2025 09:38:41 -0700 Subject: [PATCH 0227/1566] [core][oneevent/01] gcs AddEvent: scaffolding (#54609) This is a series of PRs that connects each worker's EventAggregator to GCS, completing the OneEvent implementation for task events. For more details, see: https://docs.google.com/document/d/1WjdlKprMqLqyPvmR1OGRQNhCD93SWrCXj21jZXXUcSk/edit?tab=t.0#heading=h.mmmgp2sapmts. ------------ This PR specifically adds a new gRPC endpoint, AddEvent, to GCS, allowing the EventAggregator to send Ray task events. Test: - CI - build Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 2 +- .../aggregator/tests/test_aggregator_agent.py | 28 +++--- python/ray/tests/test_metrics_agent.py | 4 +- src/ray/gcs/gcs_server/BUILD.bazel | 1 + src/ray/gcs/gcs_server/gcs_server.cc | 2 + src/ray/gcs/gcs_server/gcs_task_manager.cc | 7 ++ src/ray/gcs/gcs_server/gcs_task_manager.h | 11 ++- src/ray/protobuf/BUILD | 1 + .../events_event_aggregator_service.proto | 4 +- src/ray/protobuf/gcs_service.proto | 7 ++ src/ray/rpc/gcs_server/gcs_rpc_client.h | 93 ++++++++++++------- src/ray/rpc/gcs_server/gcs_rpc_server.h | 49 +++++++++- 12 files changed, 150 insertions(+), 59 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index e5e2caf6c195..41582c6309de 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -214,7 +214,7 @@ def _receive_events(self, request): f", and {len(error_messages) - truncate_num} more events dropped" ) status = events_event_aggregator_service_pb2.AddEventStatus( - status_code=status_code, status_message=status_message + code=status_code, message=status_message ) return events_event_aggregator_service_pb2.AddEventReply(status=status) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 05968f9f04f5..3b617ef27b53 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -89,8 +89,8 @@ def test_aggregator_agent_receive_publish_events_normally( ) reply = stub.AddEvents(request) - assert reply.status.status_code == 0 - assert reply.status.status_message == "all events received" + assert reply.status.code == 0 + assert reply.status.message == "all events received" wait_for_condition(lambda: len(httpserver.log) == 1) @@ -150,12 +150,12 @@ def test_aggregator_agent_receive_event_full( ) reply = stub.AddEvents(request) - assert reply.status.status_code == 0 - assert reply.status.status_message == "all events received" + assert reply.status.code == 0 + assert reply.status.message == "all events received" reply = stub.AddEvents(request) - assert reply.status.status_code == 5 - assert reply.status.status_message == "event 1 dropped because event buffer full" + assert reply.status.code == 5 + assert reply.status.message == "event 1 dropped because event buffer full" def test_aggregator_agent_receive_dropped_at_core_worker( @@ -200,8 +200,8 @@ def test_aggregator_agent_receive_dropped_at_core_worker( ) reply = stub.AddEvents(request) - assert reply.status.status_code == 0 - assert reply.status.status_message == "all events received" + assert reply.status.code == 0 + assert reply.status.message == "all events received" wait_for_condition(lambda: len(httpserver.log) == 1) @@ -245,8 +245,8 @@ def test_aggregator_agent_receive_multiple_events(ray_start_cluster_head, httpse ) ) reply = stub.AddEvents(request) - assert reply.status.status_code == 0 - assert reply.status.status_message == "all events received" + assert reply.status.code == 0 + assert reply.status.message == "all events received" wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) @@ -308,9 +308,9 @@ def test_aggregator_agent_receive_multiple_events_failures( ) ) reply = stub.AddEvents(request) - assert reply.status.status_code == 5 + assert reply.status.code == 5 assert ( - reply.status.status_message + reply.status.message == "event 1 dropped because event buffer full, event 2 dropped because event buffer full" ) @@ -330,8 +330,8 @@ def test_aggregator_agent_receive_empty_events(ray_start_cluster_head, httpserve ) ) reply = stub.AddEvents(request) - assert reply.status.status_code == 0 - assert reply.status.status_message == "all events received" + assert reply.status.code == 0 + assert reply.status.message == "all events received" if __name__ == "__main__": diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 534e1694e2ee..e873e6261572 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -574,8 +574,8 @@ def test_case_value_correct(): ) reply = stub.AddEvents(request) - assert reply.status.status_code == 5 - assert reply.status.status_message == "event 1 dropped because event buffer full" + assert reply.status.code == 5 + assert reply.status.message == "event 1 dropped because event buffer full" wait_for_condition(lambda: len(httpserver.log) == 1) wait_for_condition(test_case_value_correct, timeout=30, retry_interval_ms=1000) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 2422dff09f44..9edf800520ff 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -162,6 +162,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/protobuf:events_event_aggregator_service_cc_proto", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 2458ffa8a74e..2b8b3ae277ef 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -735,6 +735,8 @@ void GcsServer::InitGcsTaskManager() { // Register service. rpc_server_.RegisterService( std::make_unique(io_context, *gcs_task_manager_)); + rpc_server_.RegisterService( + std::make_unique(io_context, *gcs_task_manager_)); } void GcsServer::InstallEventListeners() { diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.cc b/src/ray/gcs/gcs_server/gcs_task_manager.cc index a08d8ce9dc2e..19ce88c88860 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_task_manager.cc @@ -653,6 +653,13 @@ void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } +void GcsTaskManager::HandleAddEvent(rpc::events::AddEventRequest request, + rpc::events::AddEventReply *reply, + rpc::SendReplyCallback send_reply_callback) { + // TODO(can-anyscale): Implement this. + GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); +} + std::string GcsTaskManager::DebugString() { std::ostringstream ss; auto counters = stats_counter_.GetAll(); diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index 556b5a0a3a0b..b4673bd44761 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -91,7 +91,7 @@ class FinishedTaskActorTaskGcPolicy : public TaskEventsGcPolicyInterface { /// /// This class has its own io_context and io_thread, that's separate from other GCS /// services. All handling of all rpc should be posted to the single thread it owns. -class GcsTaskManager : public rpc::TaskInfoHandler { +class GcsTaskManager : public rpc::TaskInfoHandler, public rpc::EventExportHandler { public: /// Create a GcsTaskManager. explicit GcsTaskManager(instrumented_io_context &io_service); @@ -105,6 +105,15 @@ class GcsTaskManager : public rpc::TaskInfoHandler { rpc::AddTaskEventDataReply *reply, rpc::SendReplyCallback send_reply_callback) override; + /// Handles a AddEvent request. + /// + /// \param request gRPC Request. + /// \param reply gRPC Reply. + /// \param send_reply_callback Callback to invoke when sending reply. + void HandleAddEvent(rpc::events::AddEventRequest request, + rpc::events::AddEventReply *reply, + rpc::SendReplyCallback send_reply_callback) override; + /// Handle GetTaskEvent request. /// /// \param request gRPC Request. diff --git a/src/ray/protobuf/BUILD b/src/ray/protobuf/BUILD index 6adc0e8979ad..7866a5298ee8 100644 --- a/src/ray/protobuf/BUILD +++ b/src/ray/protobuf/BUILD @@ -161,6 +161,7 @@ proto_library( srcs = ["gcs_service.proto"], deps = [ ":common_proto", + ":events_event_aggregator_service_proto", ":gcs_proto", ":pubsub_proto", ], diff --git a/src/ray/protobuf/events_event_aggregator_service.proto b/src/ray/protobuf/events_event_aggregator_service.proto index 5d465b452c01..9ce4596e17b2 100644 --- a/src/ray/protobuf/events_event_aggregator_service.proto +++ b/src/ray/protobuf/events_event_aggregator_service.proto @@ -41,9 +41,9 @@ message AddEventRequest { message AddEventStatus { // Status code of the add event request result. The codes follow the codes in // `src/ray/common/status.h` - int32 status_code = 1; + int32 code = 1; // Status message of the add event request result. - string status_message = 2; + string message = 2; } message AddEventReply { diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 8de01f603d29..0db6cb53d5e4 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -19,6 +19,7 @@ package ray.rpc; import "src/ray/protobuf/common.proto"; import "src/ray/protobuf/gcs.proto"; import "src/ray/protobuf/pubsub.proto"; +import "src/ray/protobuf/events_event_aggregator_service.proto"; message AddJobRequest { JobTableData data = 1; @@ -865,4 +866,10 @@ service TaskInfoGcsService { rpc GetTaskEvents(GetTaskEventsRequest) returns (GetTaskEventsReply); } +// Service for recording the unified ray events. +service EventExportGcsService { + // Add OneEvent task data to GCS. + rpc AddEvent(events.AddEventRequest) returns (events.AddEventReply); +} + /////////////////////////////////////////////////////////////////////////////// diff --git a/src/ray/rpc/gcs_server/gcs_rpc_client.h b/src/ray/rpc/gcs_server/gcs_rpc_client.h index b7efb5a5f8fd..e255b7cade64 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_client.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_client.h @@ -38,13 +38,14 @@ namespace rpc { #define VOID_GCS_RPC_CLIENT_METHOD( \ SERVICE, METHOD, grpc_client, method_timeout_ms, SPECS) \ VOID_GCS_RPC_CLIENT_METHOD_FULL( \ - ray::rpc, SERVICE, METHOD, grpc_client, method_timeout_ms, true, SPECS) + ray::rpc, ray::rpc, SERVICE, METHOD, grpc_client, method_timeout_ms, true, SPECS) /// Define a void GCS RPC client method. /// /// Example: /// VOID_GCS_RPC_CLIENT_METHOD_FULL( /// ray::rpc, +/// ray::rpc::events, /// ActorInfoGcsService, /// CreateActor, /// actor_info_grpc_client_, @@ -63,7 +64,8 @@ namespace rpc { /// That says, when there's any RPC failure, the method will automatically retry /// under the hood. /// -/// \param NAMESPACE namespace of the service. +/// \param SERVICE_NAMESPACE namespace of the service. +/// \param METHOD_NAMESPACE namespace of the method. /// \param SERVICE name of the service. /// \param METHOD name of the RPC method. /// \param grpc_client The grpc client to invoke RPC. @@ -77,40 +79,41 @@ namespace rpc { /// /// Currently, SyncMETHOD will copy the reply additionally. /// TODO(sang): Fix it. -#define VOID_GCS_RPC_CLIENT_METHOD_FULL(NAMESPACE, \ - SERVICE, \ - METHOD, \ - grpc_client, \ - method_timeout_ms, \ - handle_payload_status, \ - SPECS) \ - void METHOD(const NAMESPACE::METHOD##Request &request, \ - const ClientCallback &callback, \ - const int64_t timeout_ms = method_timeout_ms) SPECS { \ - invoke_async_method( \ - &NAMESPACE::SERVICE::Stub::PrepareAsync##METHOD, \ - grpc_client, \ - #NAMESPACE "::" #SERVICE ".grpc_client." #METHOD, \ - request, \ - callback, \ - timeout_ms); \ - } \ - ray::Status Sync##METHOD(const NAMESPACE::METHOD##Request &request, \ - NAMESPACE::METHOD##Reply *reply_in, \ - const int64_t timeout_ms = method_timeout_ms) { \ - std::promise promise; \ - METHOD( \ - request, \ - [&promise, reply_in](const Status &status, \ - const NAMESPACE::METHOD##Reply &reply) { \ - reply_in->CopyFrom(reply); \ - promise.set_value(status); \ - }, \ - timeout_ms); \ - return promise.get_future().get(); \ +#define VOID_GCS_RPC_CLIENT_METHOD_FULL(SERVICE_NAMESPACE, \ + METHOD_NAMESPACE, \ + SERVICE, \ + METHOD, \ + grpc_client, \ + method_timeout_ms, \ + handle_payload_status, \ + SPECS) \ + void METHOD(const METHOD_NAMESPACE::METHOD##Request &request, \ + const ClientCallback &callback, \ + const int64_t timeout_ms = method_timeout_ms) SPECS { \ + invoke_async_method( \ + &SERVICE_NAMESPACE::SERVICE::Stub::PrepareAsync##METHOD, \ + grpc_client, \ + #SERVICE_NAMESPACE "::" #SERVICE ".grpc_client." #METHOD, \ + request, \ + callback, \ + timeout_ms); \ + } \ + ray::Status Sync##METHOD(const METHOD_NAMESPACE::METHOD##Request &request, \ + METHOD_NAMESPACE::METHOD##Reply *reply_in, \ + const int64_t timeout_ms = method_timeout_ms) { \ + std::promise promise; \ + METHOD( \ + request, \ + [&promise, reply_in](const Status &status, \ + const METHOD_NAMESPACE::METHOD##Reply &reply) { \ + reply_in->CopyFrom(reply); \ + promise.set_value(status); \ + }, \ + timeout_ms); \ + return promise.get_future().get(); \ } /// Client used for communicating with gcs server. @@ -174,6 +177,8 @@ class GcsRpcClient { channel_, client_call_manager); task_info_grpc_client_ = std::make_shared>(channel_, client_call_manager); + event_export_grpc_client_ = std::make_shared>( + channel_, client_call_manager); autoscaler_state_grpc_client_ = std::make_shared>( channel_, client_call_manager); @@ -388,6 +393,15 @@ class GcsRpcClient { task_info_grpc_client_, /*method_timeout_ms*/ -1, ) + /// Add one event data to GCS Service. + VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc, + ray::rpc::events, + EventExportGcsService, + AddEvent, + event_export_grpc_client_, + /*method_timeout_ms*/ -1, + /*handle_payload_status=*/true, ) + /// Add task events info to GCS Service. VOID_GCS_RPC_CLIENT_METHOD(TaskInfoGcsService, GetTaskEvents, @@ -513,6 +527,7 @@ class GcsRpcClient { /// Operations for autoscaler VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, GetClusterResourceState, autoscaler_state_grpc_client_, @@ -520,6 +535,7 @@ class GcsRpcClient { /*handle_payload_status=*/false, ) VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, ReportAutoscalingState, autoscaler_state_grpc_client_, @@ -527,6 +543,7 @@ class GcsRpcClient { /*handle_payload_status=*/false, ) VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, ReportClusterConfig, autoscaler_state_grpc_client_, @@ -534,6 +551,7 @@ class GcsRpcClient { /*handle_payload_status=*/false, ) VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, RequestClusterResourceConstraint, autoscaler_state_grpc_client_, @@ -541,6 +559,7 @@ class GcsRpcClient { /*handle_payload_status=*/false, ) VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, GetClusterStatus, autoscaler_state_grpc_client_, @@ -548,6 +567,7 @@ class GcsRpcClient { /*handle_payload_status=*/false, ) VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc::autoscaler, + ray::rpc::autoscaler, AutoscalerStateService, DrainNode, autoscaler_state_grpc_client_, @@ -583,6 +603,7 @@ class GcsRpcClient { std::shared_ptr> internal_kv_grpc_client_; std::shared_ptr> internal_pubsub_grpc_client_; std::shared_ptr> task_info_grpc_client_; + std::shared_ptr> event_export_grpc_client_; std::shared_ptr> runtime_env_grpc_client_; std::shared_ptr> autoscaler_state_grpc_client_; diff --git a/src/ray/rpc/gcs_server/gcs_rpc_server.h b/src/ray/rpc/gcs_server/gcs_rpc_server.h index 01853c50f5eb..489741a41554 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_server.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_server.h @@ -22,10 +22,16 @@ #include "ray/rpc/grpc_server.h" #include "ray/rpc/server_call.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" +#include "src/ray/protobuf/events_event_aggregator_service.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { namespace rpc { +// Most of our RPC templates, if not all, expect messages in the ray::rpc protobuf +// namespace. Since the following two messages are defined under the rpc::events +// namespace, we treat them as if they were part of ray::rpc for compatibility. +using ray::rpc::events::AddEventReply; +using ray::rpc::events::AddEventRequest; namespace autoscaler { #define AUTOSCALER_STATE_SERVICE_RPC_HANDLER(HANDLER) \ @@ -126,6 +132,11 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) +#define EVENT_EXPORT_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(EventExportGcsService, \ + HANDLER, \ + RayConfig::instance().gcs_max_active_rpcs_per_handler()) + #define NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(NodeResourceInfoGcsService, \ HANDLER, \ @@ -645,9 +656,9 @@ class TaskInfoGcsServiceHandler { AddTaskEventDataReply *reply, SendReplyCallback send_reply_callback) = 0; - virtual void HandleGetTaskEvents(rpc::GetTaskEventsRequest request, - rpc::GetTaskEventsReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; + virtual void HandleGetTaskEvents(GetTaskEventsRequest request, + GetTaskEventsReply *reply, + SendReplyCallback send_reply_callback) = 0; }; /// The `GrpcService` for `TaskInfoGcsService`. @@ -679,6 +690,37 @@ class TaskInfoGrpcService : public GrpcService { TaskInfoGcsServiceHandler &service_handler_; }; +class EventExportGcsServiceHandler { + public: + virtual ~EventExportGcsServiceHandler() = default; + virtual void HandleAddEvent(AddEventRequest request, + AddEventReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +/// The `GrpcService` for `EventExportGcsService`. +class EventExportGrpcService : public GrpcService { + public: + explicit EventExportGrpcService(instrumented_io_context &io_service, + EventExportGcsServiceHandler &handler) + : GrpcService(io_service), service_handler_(handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override { + EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvent); + } + + private: + /// The grpc async service object. + EventExportGcsService::AsyncService service_; + /// The service handler that actually handle the requests. + EventExportGcsServiceHandler &service_handler_; +}; + class InternalPubSubGcsServiceHandler { public: virtual ~InternalPubSubGcsServiceHandler() = default; @@ -733,6 +775,7 @@ using InternalKVHandler = InternalKVGcsServiceHandler; using InternalPubSubHandler = InternalPubSubGcsServiceHandler; using RuntimeEnvHandler = RuntimeEnvGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; +using EventExportHandler = EventExportGcsServiceHandler; } // namespace rpc } // namespace ray From d97afd275934d874375250bb8bbb99a02e5d841a Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Wed, 16 Jul 2025 18:59:21 +0200 Subject: [PATCH 0228/1566] [RLlib; docs] Docs do-over (new API stack): `ConnectorV2` documentation (part II). (#54313) Signed-off-by: Douglas Strodtman --- doc/source/rllib/connector-v2.rst | 79 +++++++++++++++++++ doc/source/rllib/env-to-module-connector.rst | 60 +++++++++----- .../pipeline_batch_phases_multi_agent.svg | 1 + .../pipeline_batch_phases_single_agent.svg | 1 + ...ine_batch_phases_single_agent_w_states.svg | 1 + doc/source/rllib/rl-modules.rst | 2 + doc/source/rllib/user-guides.rst | 2 +- 7 files changed, 124 insertions(+), 22 deletions(-) create mode 100644 doc/source/rllib/images/connector_v2/pipeline_batch_phases_multi_agent.svg create mode 100644 doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent.svg create mode 100644 doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg diff --git a/doc/source/rllib/connector-v2.rst b/doc/source/rllib/connector-v2.rst index d41459a8dda5..d22ba2d551b1 100644 --- a/doc/source/rllib/connector-v2.rst +++ b/doc/source/rllib/connector-v2.rst @@ -97,7 +97,86 @@ The succeeding pages discuss the three pipeline types in more detail, however, a * All connector pipelines can read from and write to the provided list of episodes as well as the batch and thereby perform data transforms as required. +Batch construction phases and formats +------------------------------------- +When you push a list of input episodes through a connector pipeline, the pipeline constructs a batch from the given data. +This batch always starts as an empty python dictionary and undergoes different formats and phases while passing through the different +pieces of the pipeline. + +The following applies to all :ref:`env-to-module ` and learner connector pipelines (documentation in progress). + +.. figure:: images/connector_v2/pipeline_batch_phases_single_agent.svg + :width: 1000 + :align: left + + **Batch construction phases and formats**: In the standard single-agent case, where only one ModuleID (``DEFAULT_MODULE_ID``) exists, + the batch starts as an empty dictionary (left) and then undergoes a "collect data" phase, in which connector pieces add individual items + to the batch by storing them under a) the column name, for example ``obs`` or ``rewards``, and b) under the episode ID, from which they extracted + the item. + In most cases, your custom connector pieces operate during this phase. Once all custom pieces have performed their data insertions and transforms, + the :py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping` default piece performs a + "reorganize by ModuleID" operation (center), during which the batch's dictionary hierarchy changes to having the ModuleID (``DEFAULT_MODULE_ID``) at + the top level and the column names thereunder. On the lowest level in the batch, data items still reside in python lists. + Finally, the :py:class:`~ray.rllib.connectors.common.batch_individual_items.BatchIndividualItems` default piece creates NumPy arrays + out of the python lists, thereby batching all data (right). + + +For multi-agent setups, where there are more than one ModuleIDs the +:py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping` default connector piece makes sure that +the constructed output batch maps module IDs to the respective module's forward batch: + +.. figure:: images/connector_v2/pipeline_batch_phases_multi_agent.svg + :width: 1100 + :align: left + + **Batch construction for multi-agent**: In a multi-agent setup, the default :py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping` + connector piece reorganizes the batch by ``ModuleID``, then column names, such that a + :py:class:`~ray.rllib.core.rl_module.multi_rl_module.MultiRLModule` can loop through its sub-modules and provide each with a batch + for the forward pass. + +RLlib's :py:class:`~ray.rllib.core.rl_module.multi_rl_module.MultiRLModule` can split up the forward passes into +individual submodules' forward passes using the individual batches under the respective ``ModuleIDs``. +See :ref:`here for how to write your own multi-module or multi-agent forward logic ` +and override this default behavior of :py:class:`~ray.rllib.core.rl_module.multi_rl_module.MultiRLModule`. + + +Finally, if you have a stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, for example an LSTM, RLlib adds two additional +default connector pieces to the pipeline, :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad` +and :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: + + +.. figure:: images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg + :width: 900 + :align: left + + **Batch construction for stateful models**: For stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` instances, + RLlib automatically adds additional two default connector pieces to the pipeline. The + :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad` piece converts all lists of individual data + items on the lowest batch level into sequences of a fixed length (``max_seq_len``, see note below for how to set this) and automatically zero-pads + these if it encounters an episode end. + The :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch` piece adds the previously generated + ``state_out`` values of your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` under the ``state_in`` column name to the batch. Note that + RLlib only adds the ``state_in`` values for the first timestep in each sequence and therefore also doesn't add a time dimension to the data in the + ``state_in`` column. + + +.. note:: + + To change the zero-padded sequence length for the :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad` + connector, set in your config for custom models: + + .. code-block:: python + + config.rl_module(model_config={"max_seq_len": ...}) + + And for RLlib's default models: + + .. code-block:: python + + from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig + + config.rl_module(model_config=DefaultModelConfig(max_seq_len=...)) .. Debugging ConnectorV2 Pipelines diff --git a/doc/source/rllib/env-to-module-connector.rst b/doc/source/rllib/env-to-module-connector.rst index f804716c4ec0..19d8f0d3ca34 100644 --- a/doc/source/rllib/env-to-module-connector.rst +++ b/doc/source/rllib/env-to-module-connector.rst @@ -1,13 +1,33 @@ .. include:: /_includes/rllib/we_are_hiring.rst -.. include:: /_includes/rllib/new_api_stack.rst - - .. _env-to-module-pipeline-docs: Env-to-module pipelines ======================= +.. include:: /_includes/rllib/new_api_stack.rst + +.. grid:: 1 2 3 4 + :gutter: 1 + :class-container: container pb-3 + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/connector_generic.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: connector-v2-docs + + ConnectorV2 overview + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/env_to_module_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: env-to-module-pipeline-docs + + Env-to-module pipelines (this page) + + One env-to-module pipeline resides on each :py:class:`~ray.rllib.env.env_runner.EnvRunner` and is responsible for handling the data flow from the `gymnasium.Env `__ to the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. @@ -84,10 +104,21 @@ use the following code snippet as a starting point: Alternatively, in case there is no ``env`` object available, you should pass in the ``spaces`` argument instead. -RLlib requires these pieces of information to compute the correct output observation space, so that the -:py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` can receive the correct space for its own setup procedure. +RLlib requires either of these pieces of information to compute the correct output observation space of the pipeline, so that the +:py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` can receive the correct input space for its own setup procedure. +The structure of the `spaces` argument should ideally be: -:ref:`See here for the expected format of the spaces arg `. +.. code-block:: python + + spaces = { + "__env__": ([env observation space], [env action space]), # <- may be vectorized + "__env_single__": ([env observation space], [env action space]), # <- never vectorized! + "[module ID, e.g. 'default_policy']": ([module observation space], [module action space]), + ... # <- more modules in multi-agent case + } + +However, for single-agent cases, it may be enough to provide the non-vectorized, single observation- +and action spaces only: .. testcode:: @@ -125,7 +156,7 @@ for stateless- and stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLMod action = 0 obs, _, _, _, _ = env.step(action) episode1.add_env_step(observation=obs, action=action, reward=1.0) - # - episode 2 (just do one timestep) + # - episode 2 (just one timestep) obs, _ = env.reset() episode2.add_env_reset(observation=obs) @@ -179,7 +210,7 @@ for stateless- and stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLMod You can see that the pipeline extracted the current observations from the two running episodes and placed them under the ``obs`` column into the forward batch. -The batch has a size of 2, because we had 2 episodes, and should look similar to this: +The batch has a size of two, because we had two episodes, and should look similar to this: .. code-block:: text @@ -226,19 +257,6 @@ RLlib prepends the provided :py:class:`~ray.rllib.connectors.connector_v2.Connec unless you set `add_default_connectors_to_env_to_module_pipeline=False` in your config, in which case RLlib exclusively uses the provided :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces without any automatically added default behavior. -.. _env-to-module-connectors-structure-of-spaces-arg: - -Note that RLlib expects the structure of the `spaces` argument to be: - -.. code-block:: python - - spaces = { - "__env__": ([env observation space], [env action space]), # <- may be vectorized - "__env_single__": ([env observation space], [env action space]), # <- never vectorized! - "[module ID, e.g. 'default_policy']": ([module observation space], [module action space]), - ... # <- more modules in multi-agent case - } - For example, to prepend a custom ConnectorV2 piece to the env-to-module pipeline, you can do this in your config: .. testcode:: diff --git a/doc/source/rllib/images/connector_v2/pipeline_batch_phases_multi_agent.svg b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_multi_agent.svg new file mode 100644 index 000000000000..75c2fb7bd692 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_multi_agent.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent.svg b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent.svg new file mode 100644 index 000000000000..935a962fa1c3 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg new file mode 100644 index 000000000000..ad86f4bd5d62 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/rl-modules.rst b/doc/source/rllib/rl-modules.rst index fa1863da514e..c8e27ee7c21f 100644 --- a/doc/source/rllib/rl-modules.rst +++ b/doc/source/rllib/rl-modules.rst @@ -791,6 +791,8 @@ You implement the main action sampling logic in the ``_forward_...()`` methods: +.. _implementing-custom-multi-rl-modules: + Implementing custom MultiRLModules ---------------------------------- diff --git a/doc/source/rllib/user-guides.rst b/doc/source/rllib/user-guides.rst index baa34d5b9496..a3fef19df8c2 100644 --- a/doc/source/rllib/user-guides.rst +++ b/doc/source/rllib/user-guides.rst @@ -80,7 +80,7 @@ RLlib Feature Guides .. button-ref:: connector-v2 - How To Use Connectors and Connector pipelines (new API stack)? + How To Use Connectors and Connector pipelines? .. grid-item-card:: :img-top: /rllib/images/rllib-logo.svg From 62920f1485feb5bbeb3a314ed20af46547b25606 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Wed, 16 Jul 2025 10:09:41 -0700 Subject: [PATCH 0229/1566] Train Benchmark: Add preserver_order (#54474) Train Benchmark: Add preserver_order config to Ray Data pipeline --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 42 +++++++++++++++++++ release/train_tests/benchmark/config.py | 1 + .../benchmark/ray_dataloader_factory.py | 1 + 3 files changed, 44 insertions(+) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 6273cf2ae784..e9d0e0db09bb 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2128,6 +2128,11 @@ timeout: 2000 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --dataloader_type=ray_data --num_workers=16 --image_classification_data_format=parquet + - __suffix__: full_training.parquet.preserve_order + run: + timeout: 2000 + script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --dataloader_type=ray_data --num_workers=16 --image_classification_data_format=parquet --preserve_order + - __suffix__: full_training.parquet.torch_dataloader run: timeout: 2000 @@ -2138,6 +2143,11 @@ timeout: 1200 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --dataloader_type=ray_data --num_workers=16 --skip_train_step --skip_validation_at_epoch_end --image_classification_data_format=parquet + - __suffix__: skip_training.parquet.preserve_order + run: + timeout: 1200 + script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --dataloader_type=ray_data --num_workers=16 --skip_train_step --skip_validation_at_epoch_end --image_classification_data_format=parquet --preserve_order + - __suffix__: skip_training.parquet.torch_dataloader run: timeout: 1200 @@ -2151,11 +2161,24 @@ cluster: cluster_compute: compute_configs/compute_mock_gpu_4x4_aws.yaml + - __suffix__: skip_training.parquet.fault_tolerance.preserve_order + run: + timeout: 2700 + script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --dataloader_type=ray_data --num_workers=16 --mock_gpu --skip_train_step --skip_validation_step --num_epochs=5 --max_failures=4 --image_classification_data_format=parquet --preserve_order + prepare: python setup_chaos.py --kill-interval 480 --max-to-kill 2 --kill-delay 360 + cluster: + cluster_compute: compute_configs/compute_mock_gpu_4x4_aws.yaml + - __suffix__: full_training.jpeg run: timeout: 2000 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --dataloader_type=ray_data --num_workers=16 + - __suffix__: full_training.jpeg.preserve_order + run: + timeout: 2000 + script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --dataloader_type=ray_data --num_workers=16 --preserve_order + - __suffix__: full_training.jpeg.torch_dataloader run: timeout: 2000 @@ -2166,6 +2189,11 @@ timeout: 1200 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --dataloader_type=ray_data --num_workers=16 --skip_train_step --skip_validation_at_epoch_end + - __suffix__: skip_training.jpeg.preserve_order + run: + timeout: 1200 + script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --dataloader_type=ray_data --num_workers=16 --skip_train_step --skip_validation_at_epoch_end --preserve_order + - __suffix__: skip_training.jpeg.torch_dataloader run: timeout: 1200 @@ -2178,6 +2206,13 @@ cluster: cluster_compute: compute_configs/compute_gpu_1x1_aws.yaml + - __suffix__: skip_training.jpeg.local_fs.preserve_order + run: + timeout: 1200 + script: bash image_classification/jpeg/download_input_data_from_s3.sh && RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --image_classification_local_dataset --dataloader_type=ray_data --num_workers=1 --skip_train_step --skip_validation_at_epoch_end --preserve_order + cluster: + cluster_compute: compute_configs/compute_gpu_1x1_aws.yaml + - __suffix__: skip_training.jpeg.local_fs.torch_dataloader run: timeout: 1200 @@ -2192,6 +2227,13 @@ cluster: cluster_compute: compute_configs/compute_gpu_1x1_multi_gpus_aws.yaml + - __suffix__: skip_training.jpeg.local_fs_multi_gpus.preserve_order + run: + timeout: 1200 + script: bash image_classification/jpeg/download_input_data_from_s3.sh && RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --image_classification_local_dataset --dataloader_type=ray_data --num_workers=4 --skip_train_step --skip_validation_at_epoch_end --preserve_order + cluster: + cluster_compute: compute_configs/compute_gpu_1x1_multi_gpus_aws.yaml + - __suffix__: skip_training.jpeg.local_fs_multi_gpus.torch_dataloader run: timeout: 1200 diff --git a/release/train_tests/benchmark/config.py b/release/train_tests/benchmark/config.py index 884b1c57de18..03f55de0ce6d 100644 --- a/release/train_tests/benchmark/config.py +++ b/release/train_tests/benchmark/config.py @@ -47,6 +47,7 @@ class RayDataConfig(DataLoaderConfig): locality_with_output: bool = False actor_locality_enabled: bool = False enable_shard_locality: bool = True + preserve_order: bool = False ray_data_pin_memory: bool = False diff --git a/release/train_tests/benchmark/ray_dataloader_factory.py b/release/train_tests/benchmark/ray_dataloader_factory.py index f889a6186124..e3a7c7dd8ece 100644 --- a/release/train_tests/benchmark/ray_dataloader_factory.py +++ b/release/train_tests/benchmark/ray_dataloader_factory.py @@ -33,6 +33,7 @@ def __init__(self, benchmark_config: BenchmarkConfig) -> None: data_context.execution_options.actor_locality_enabled = ( dataloader_config.actor_locality_enabled ) + data_context.execution_options.preserve_order = dataloader_config.preserve_order @abstractmethod def get_ray_datasets(self) -> Dict[str, Dataset]: From 1555f7f5da9c7dfc8966b3e488c07273c4b3d75a Mon Sep 17 00:00:00 2001 From: lkchen Date: Wed, 16 Jul 2025 11:39:53 -0700 Subject: [PATCH 0230/1566] [llm][serve] Update ray-llm docker to ucx-1.18.1 nixl-0.3.1 (#54598) Benchmarked on p5 instance (H100 GPU); the intra-node benchmark result is improved after the upgrade. --------- Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- docker/ray-llm/Dockerfile | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index 27e3d9e6415b..fbd5fcac46d8 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -73,12 +73,13 @@ sudo apt-get install -y kmod pkg-config librdmacm-dev --no-questions ) +UCX_VERSION="1.18.1" ( - echo "Installing UCX" + echo "Installing UCX ${UCX_VERSION}" cd "${TEMP_DIR}" - wget "https://github.com/openucx/ucx/releases/download/v1.18.0/ucx-1.18.0.tar.gz" -q - tar xzf ucx-1.18.0.tar.gz; rm ucx-1.18.0.tar.gz - cd ucx-1.18.0 + wget "https://github.com/openucx/ucx/releases/download/v${UCX_VERSION}/ucx-${UCX_VERSION}.tar.gz" -q + tar xzf "ucx-${UCX_VERSION}.tar.gz"; rm "ucx-${UCX_VERSION}.tar.gz" + cd "ucx-${UCX_VERSION}" # Additional options for Mellanox NICs, install by default MLX_OPTS="--with-rdmacm \ @@ -104,18 +105,19 @@ sudo apt-get install -y kmod pkg-config librdmacm-dev sudo ldconfig ) +NIXL_VERSION="0.3.1" ( - echo "Installing NIXL" + echo "Installing NIXL ${NIXL_VERSION}" # NIXL needs meson pybind11 ninja, but should have been included in requirements_*.txt cd "${TEMP_DIR}" - wget "https://github.com/ai-dynamo/nixl/archive/refs/tags/0.2.0.tar.gz" -q - tar xzf 0.2.0.tar.gz; rm 0.2.0.tar.gz - cd nixl-0.2.0 + wget "https://github.com/ai-dynamo/nixl/archive/refs/tags/${NIXL_VERSION}.tar.gz" -q + tar xzf "${NIXL_VERSION}.tar.gz"; rm "${NIXL_VERSION}.tar.gz" + cd "nixl-${NIXL_VERSION}" meson setup build --prefix=${NIXL_HOME} -Ducx_path=${UCX_HOME} cd build ninja sudo env "PATH=$PATH" ninja install - pip install --no-cache-dir nixl==0.2.0 + pip install --no-cache-dir "nixl==${NIXL_VERSION}" ) sudo rm -rf "${TEMP_DIR}" From 3b5fd4ca8345427a8863e2403a2c4e730b89d334 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Wed, 16 Jul 2025 12:05:56 -0700 Subject: [PATCH 0231/1566] [serve] move test from test_grpc to test_proxy (#53933) ## Why are these changes needed? Move serve test to a different file. Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_grpc.py | 141 ++------------------------- python/ray/serve/tests/test_proxy.py | 132 +++++++++++++++++++++++++ 2 files changed, 140 insertions(+), 133 deletions(-) diff --git a/python/ray/serve/tests/test_grpc.py b/python/ray/serve/tests/test_grpc.py index efa8ddb03080..384b5106c6f2 100644 --- a/python/ray/serve/tests/test_grpc.py +++ b/python/ray/serve/tests/test_grpc.py @@ -1,4 +1,3 @@ -import os import sys from typing import Any @@ -9,7 +8,7 @@ import ray from ray import serve -from ray._common.test_utils import SignalActor, wait_for_condition +from ray._common.test_utils import SignalActor from ray.serve._private.constants import SERVE_NAMESPACE from ray.serve._private.test_utils import ( ping_fruit_stand, @@ -25,11 +24,10 @@ from ray.serve.generated import serve_pb2, serve_pb2_grpc from ray.serve.grpc_util import RayServegRPCContext from ray.serve.tests.test_config_files.grpc_deployment import g, g2 -from ray.util.state import list_actors -def test_serving_request_through_grpc_proxy(ray_cluster): - """Test serving request through gRPC proxy. +def test_serving_grpc_requests(ray_cluster): + """Test serving gRPC requests. When Serve runs with a gRPC deployment, the app should be deployed successfully, both ListApplications and Healthz methods returning successful responses, and @@ -119,7 +117,7 @@ def test_serve_start_dictionary_grpc_options(ray_cluster): ping_grpc_healthz(channel) -def test_grpc_proxy_routing_without_metadata(ray_cluster): +def test_grpc_routing_without_metadata(ray_cluster): """Test metadata are not required when calling gRPC proxy with only one app. When there is only one app deployed, gRPC proxy will route the request to the app @@ -173,7 +171,7 @@ def test_grpc_proxy_routing_without_metadata(ray_cluster): assert "Application metadata not set" in rpc_error.details() -def test_grpc_proxy_with_request_id(ray_cluster): +def test_grpc_request_with_request_id(ray_cluster): """Test gRPC request with and without request id. When no request id is passed, gRPC proxy will respond with a random request id in @@ -225,131 +223,8 @@ def test_grpc_proxy_with_request_id(ray_cluster): assert custom_request_id != response_request_id -def test_grpc_proxy_on_draining_nodes(ray_cluster): - """Test gRPC request on the draining node. - - When there are no replicas on head node and some replicas on the worker node, the - ListApplications and Healthz methods should respond successfully. When there are - no replicas on any nodes, ListApplications and Healthz methods should continue to - succeeding on the head node. But should return draining response on the worker node. - - Also note, this is to ensure the previous fix to serve downscaling also applies to - gRPC proxy. Head node will not need to be downscaled and never be in the draining - state. Worker nodes will be in draining when there is no replicas. We will fail the - health check in this case, so ALB knows not to route to this node anymore. - """ - head_node_grpc_port = 9000 - worker_node_grpc_port = 9001 - - # Setup worker gRPC proxy to be pointing to port 9001. Head node gRPC proxy will - # continue to be pointing to the default port 9000. - os.environ["TEST_WORKER_NODE_GRPC_PORT"] = str(worker_node_grpc_port) - - # Set up a cluster with 2 nodes. - cluster = ray_cluster - cluster.add_node(num_cpus=0) - cluster.add_node(num_cpus=2) - cluster.wait_for_nodes() - ray.init(address=cluster.address) - - # Start serve with gRPC proxy - grpc_servicer_functions = [ - "ray.serve.generated.serve_pb2_grpc.add_UserDefinedServiceServicer_to_server", - "ray.serve.generated.serve_pb2_grpc.add_FruitServiceServicer_to_server", - ] - serve.start( - http_options={"location": "EveryNode"}, - grpc_options=gRPCOptions( - port=head_node_grpc_port, - grpc_servicer_functions=grpc_servicer_functions, - ), - ) - - # Deploy 2 replicas, both should be on the worker node. - @serve.deployment(num_replicas=2) - class HelloModel: - def __call__(self): - return serve_pb2.UserDefinedResponse(greeting="hello") - - model = HelloModel.bind() - app_name = "app1" - serve.run(model, name=app_name) - - # Ensure worker node has both replicas. - def check_replicas_on_worker_nodes(): - return ( - len( - { - a.node_id - for a in list_actors(address=cluster.address) - if a.class_name.startswith("ServeReplica") - } - ) - == 1 - ) - - wait_for_condition(check_replicas_on_worker_nodes) - - # Ensure total actors of 2 proxies, 1 controller, and 2 replicas, and 2 nodes exist. - wait_for_condition(lambda: len(list_actors(address=cluster.address)) == 5) - assert len(ray.nodes()) == 2 - - # Set up gRPC channels. - head_node_channel = grpc.insecure_channel(f"localhost:{head_node_grpc_port}") - worker_node_channel = grpc.insecure_channel(f"localhost:{worker_node_grpc_port}") - - # Ensures ListApplications method on the head node is succeeding. - wait_for_condition( - ping_grpc_list_applications, channel=head_node_channel, app_names=[app_name] - ) - - # Ensures Healthz method on the head node is succeeding. - ping_grpc_healthz(head_node_channel) - - # Ensures ListApplications method on the worker node is succeeding. - wait_for_condition( - ping_grpc_list_applications, - channel=worker_node_channel, - app_names=[app_name], - timeout=30, - ) - - # Ensures Healthz method on the worker node is succeeding. - ping_grpc_healthz(worker_node_channel) - - # Delete the deployment should bring the active actors down to 3 and drop - # replicas on all nodes. - serve.delete(name=app_name) - - wait_for_condition( - lambda: len( - list_actors(address=cluster.address, filters=[("STATE", "=", "ALIVE")]) - ) - == 3, - ) - - # Ensures ListApplications method on the head node is succeeding. - wait_for_condition( - ping_grpc_list_applications, channel=head_node_channel, app_names=[] - ) - - # Ensures Healthz method on the head node is succeeding. - ping_grpc_healthz(head_node_channel) - - # Ensures ListApplications method on the worker node is draining. - wait_for_condition( - ping_grpc_list_applications, - channel=worker_node_channel, - app_names=[], - test_draining=True, - ) - - # Ensures Healthz method on the worker node is draining. - ping_grpc_healthz(worker_node_channel, test_draining=True) - - @pytest.mark.parametrize("streaming", [False, True]) -def test_grpc_proxy_timeouts(ray_instance, ray_shutdown, streaming: bool): +def test_grpc_request_timeouts(ray_instance, ray_shutdown, streaming: bool): """Test gRPC request timed out. When the request timed out, gRPC proxy should return timeout response for both @@ -411,7 +286,7 @@ def Streaming(self, user_message): @pytest.mark.parametrize("streaming", [False, True]) -def test_grpc_proxy_internal_error(ray_instance, ray_shutdown, streaming: bool): +def test_grpc_request_internal_error(ray_instance, ray_shutdown, streaming: bool): """Test gRPC request error out. When the request error out, gRPC proxy should return INTERNAL status and the error @@ -459,7 +334,7 @@ def Streaming(self, user_message): @pytest.mark.asyncio @pytest.mark.parametrize("streaming", [False, True]) -async def test_grpc_proxy_cancellation(ray_instance, ray_shutdown, streaming: bool): +async def test_grpc_request_cancellation(ray_instance, ray_shutdown, streaming: bool): """Test gRPC request client cancelled. When the request is canceled, gRPC proxy should cancel the underlying task. diff --git a/python/ray/serve/tests/test_proxy.py b/python/ray/serve/tests/test_proxy.py index b319bad39ec8..4cee5f4c261e 100644 --- a/python/ray/serve/tests/test_proxy.py +++ b/python/ray/serve/tests/test_proxy.py @@ -1,14 +1,23 @@ +import os import sys +import grpc import pytest import ray from ray import serve +from ray._common.test_utils import wait_for_condition from ray.actor import ActorHandle from ray.serve._private.constants import ( DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_NAMESPACE, ) +from ray.serve._private.test_utils import ( + ping_grpc_healthz, + ping_grpc_list_applications, +) +from ray.serve.config import gRPCOptions +from ray.serve.generated import serve_pb2 from ray.util.state import list_actors @@ -87,5 +96,128 @@ def test_set_timeout_keep_alive_in_both_config_and_env( ) +def test_grpc_proxy_on_draining_nodes(ray_cluster): + """Test gRPC request on the draining node. + + When there are no replicas on head node and some replicas on the worker node, the + ListApplications and Healthz methods should respond successfully. When there are + no replicas on any nodes, ListApplications and Healthz methods should continue to + succeeding on the head node. But should return draining response on the worker node. + + Also note, this is to ensure the previous fix to serve downscaling also applies to + gRPC proxy. Head node will not need to be downscaled and never be in the draining + state. Worker nodes will be in draining when there is no replicas. We will fail the + health check in this case, so ALB knows not to route to this node anymore. + """ + head_node_grpc_port = 9000 + worker_node_grpc_port = 9001 + + # Setup worker gRPC proxy to be pointing to port 9001. Head node gRPC proxy will + # continue to be pointing to the default port 9000. + os.environ["TEST_WORKER_NODE_GRPC_PORT"] = str(worker_node_grpc_port) + + # Set up a cluster with 2 nodes. + cluster = ray_cluster + cluster.add_node(num_cpus=0) + cluster.add_node(num_cpus=2) + cluster.wait_for_nodes() + ray.init(address=cluster.address) + + # Start serve with gRPC proxy + grpc_servicer_functions = [ + "ray.serve.generated.serve_pb2_grpc.add_UserDefinedServiceServicer_to_server", + "ray.serve.generated.serve_pb2_grpc.add_FruitServiceServicer_to_server", + ] + serve.start( + http_options={"location": "EveryNode"}, + grpc_options=gRPCOptions( + port=head_node_grpc_port, + grpc_servicer_functions=grpc_servicer_functions, + ), + ) + + # Deploy 2 replicas, both should be on the worker node. + @serve.deployment(num_replicas=2) + class HelloModel: + def __call__(self): + return serve_pb2.UserDefinedResponse(greeting="hello") + + model = HelloModel.bind() + app_name = "app1" + serve.run(model, name=app_name) + + # Ensure worker node has both replicas. + def check_replicas_on_worker_nodes(): + return ( + len( + { + a.node_id + for a in list_actors(address=cluster.address) + if a.class_name.startswith("ServeReplica") + } + ) + == 1 + ) + + wait_for_condition(check_replicas_on_worker_nodes) + + # Ensure total actors of 2 proxies, 1 controller, and 2 replicas, and 2 nodes exist. + wait_for_condition(lambda: len(list_actors(address=cluster.address)) == 5) + assert len(ray.nodes()) == 2 + + # Set up gRPC channels. + head_node_channel = grpc.insecure_channel(f"localhost:{head_node_grpc_port}") + worker_node_channel = grpc.insecure_channel(f"localhost:{worker_node_grpc_port}") + + # Ensures ListApplications method on the head node is succeeding. + wait_for_condition( + ping_grpc_list_applications, channel=head_node_channel, app_names=[app_name] + ) + + # Ensures Healthz method on the head node is succeeding. + ping_grpc_healthz(head_node_channel) + + # Ensures ListApplications method on the worker node is succeeding. + wait_for_condition( + ping_grpc_list_applications, + channel=worker_node_channel, + app_names=[app_name], + timeout=30, + ) + + # Ensures Healthz method on the worker node is succeeding. + ping_grpc_healthz(worker_node_channel) + + # Delete the deployment should bring the active actors down to 3 and drop + # replicas on all nodes. + serve.delete(name=app_name) + + wait_for_condition( + lambda: len( + list_actors(address=cluster.address, filters=[("STATE", "=", "ALIVE")]) + ) + == 3, + ) + + # Ensures ListApplications method on the head node is succeeding. + wait_for_condition( + ping_grpc_list_applications, channel=head_node_channel, app_names=[] + ) + + # Ensures Healthz method on the head node is succeeding. + ping_grpc_healthz(head_node_channel) + + # Ensures ListApplications method on the worker node is draining. + wait_for_condition( + ping_grpc_list_applications, + channel=worker_node_channel, + app_names=[], + test_draining=True, + ) + + # Ensures Healthz method on the worker node is draining. + ping_grpc_healthz(worker_node_channel, test_draining=True) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From c0014034d6b0800dc44ab3ab1c59732191e24d95 Mon Sep 17 00:00:00 2001 From: kunling-anyscale Date: Wed, 16 Jul 2025 12:28:13 -0700 Subject: [PATCH 0232/1566] fix closing tags for div (#54668) Signed-off-by: Douglas Strodtman --- .../e2e-rag/notebooks/04_Build_Basic_RAG_Chatbot.ipynb | 4 ++-- .../notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb | 4 ++-- .../06_(Optional)_Evaluate_RAG_with_Online_Inference.ipynb | 4 ++-- .../07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference.ipynb | 2 +- 4 files changed, 7 insertions(+), 7 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/04_Build_Basic_RAG_Chatbot.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/04_Build_Basic_RAG_Chatbot.ipynb index b89490074ab0..1eecefa2ed9c 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/04_Build_Basic_RAG_Chatbot.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/04_Build_Basic_RAG_Chatbot.ipynb @@ -62,7 +62,7 @@ "source": [ "\n", "
    Pre-requisite #1: You must have finished the data ingestion in Chroma DB with CHROMA_PATH = \"/mnt/cluster_storage/vector_store\" and CHROMA_COLLECTION_NAME = \"anyscale_jobs_docs_embeddings\". For setup details, please refer to Notebook #2. \n", - "
    " + "
    " ] }, { @@ -71,7 +71,7 @@ "metadata": {}, "source": [ "
    Pre-requisite #2: You must have deployed the LLM service with `Qwen/Qwen2.5-32B-Instruct` model. For setup details, please refer to Notebook #3. \n", - "
    " + "
    " ] }, { diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb index 497c4212cb72..f633800f015d 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb @@ -50,7 +50,7 @@ "source": [ "\n", "
    Pre-requisite #1: You must have finished the data ingestion in Chroma DB with CHROMA_PATH = \"/mnt/cluster_storage/vector_store\" and CHROMA_COLLECTION_NAME = \"anyscale_jobs_docs_embeddings\". For setup details, please refer to Notebook #2. \n", - "
    " + "
    " ] }, { @@ -60,7 +60,7 @@ }, "source": [ "
    Pre-requisite #2: You must have deployed the LLM service with `Qwen/Qwen2.5-32B-Instruct` model. For setup details, please refer to Notebook #3. \n", - "
    " + "
    " ] }, { diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference.ipynb index 95c1d0854c76..7d7526294fa5 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/06_(Optional)_Evaluate_RAG_with_Online_Inference.ipynb @@ -56,7 +56,7 @@ "source": [ "\n", "
    Pre-requisite #1: You must have finished the data ingestion in Chroma DB with CHROMA_PATH = \"/mnt/cluster_storage/vector_store\" and CHROMA_COLLECTION_NAME = \"anyscale_jobs_docs_embeddings\". For setup details, please refer to Notebook #2. \n", - "
    " + "
    " ] }, { @@ -65,7 +65,7 @@ "metadata": {}, "source": [ "
    Pre-requisite #2: You must have deployed the LLM service with `Qwen/Qwen2.5-32B-Instruct` model. For setup details, please refer to Notebook #3. \n", - "
    " + "
    " ] }, { diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference.ipynb index b416b57c7471..8b2cce5568ab 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/07_Evaluate_RAG_with_Ray_Data_LLM_Batch_inference.ipynb @@ -79,7 +79,7 @@ "source": [ "\n", "
    Pre-requisite: You must have finished the data ingestion in Chroma DB with CHROMA_PATH = \"/mnt/cluster_storage/vector_store\" and CHROMA_COLLECTION_NAME = \"anyscale_jobs_docs_embeddings\". For setup details, please refer to Notebook #2. \n", - "
    " + "
    " ] }, { From aed76d97e8773d4bf67e34ab49ee326ca535e44d Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 16 Jul 2025 13:55:22 -0700 Subject: [PATCH 0233/1566] [core] adding additional stats to the dump object store usage api. (#53856) - Adding stats about spilling, sealed objects, and bytes used instead of just LRU stats to the output. - Adding documentation to the CoreWorker API in .pyx and .pxd files. - Returning a Status instead of an unhandled exception. Example output ``` Plasma Usage: - objects spillable: 0 - bytes spillable: 0 - objects unsealed: 0 - bytes unsealed: 0 - objects in use: 0 - bytes in use: 0 - objects evictable: 0 - bytes evictable: 0 - objects created by worker: 0 - bytes created by worker: 0 - objects restored: 0 - bytes restored: 0 - objects received: 0 - bytes received: 0 - objects errored: 0 - bytes errored: 0 Eviction Stats: (global lru) capacity: 18323147980 (global lru) used: 0% (global lru) num objects: 0 (global lru) num evictions: 0 (global lru) bytes evicted: 0 ``` --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 5 ++-- python/ray/_raylet.pyx | 17 ++++++++--- python/ray/includes/libcoreworker.pxd | 6 +++- src/ray/core_worker/core_worker.cc | 9 ++++-- src/ray/core_worker/core_worker.h | 11 +++---- .../store_provider/plasma_store_provider.cc | 10 +++++-- .../store_provider/plasma_store_provider.h | 3 +- src/ray/object_manager/plasma/BUILD.bazel | 1 + src/ray/object_manager/plasma/client.cc | 29 ++++++++++++------- src/ray/object_manager/plasma/client.h | 6 ++-- src/ray/object_manager/plasma/store.cc | 7 +++-- 11 files changed, 69 insertions(+), 35 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index a0eee45da9da..9151af7b7069 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -953,7 +953,7 @@ def get_objects( for i, value in enumerate(values): if isinstance(value, RayError): if isinstance(value, ray.exceptions.ObjectLostError): - global_worker.core_worker.dump_object_store_memory_usage() + global_worker.core_worker.log_plasma_usage() if isinstance(value, RayTaskError): raise value.as_instanceof_cause() else: @@ -2854,12 +2854,11 @@ def get( "'object_refs' must either be an ObjectRef or a list of ObjectRefs. " ) - # TODO(ujvl): Consider how to allow user to retrieve the ready objects. values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) for i, value in enumerate(values): if isinstance(value, RayError): if isinstance(value, ray.exceptions.ObjectLostError): - worker.core_worker.dump_object_store_memory_usage() + worker.core_worker.log_plasma_usage() if isinstance(value, RayTaskError): raise value.as_instanceof_cause() else: diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 1633fbf4eef5..4aa0954fa9a4 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3602,10 +3602,19 @@ cdef class CoreWorker: with nogil: CCoreWorkerProcess.GetCoreWorker().TriggerGlobalGC() - def dump_object_store_memory_usage(self): - message = CCoreWorkerProcess.GetCoreWorker().MemoryUsageString() - logger.warning("Local object store memory usage:\n{}\n".format( - message.decode("utf-8"))) + def log_plasma_usage(self): + """Logs the current usage of the Plasma Store. + Makes an unretriable blocking IPC to the Plasma Store. + + Raises an error if cannot connect to the Plasma Store. This should + be fatal for the worker. + """ + cdef: + c_string result + status = CCoreWorkerProcess.GetCoreWorker().GetPlasmaUsage(result) + check_status(status) + logger.warning("Plasma Store Usage:\n{}\n".format( + result.decode("utf-8"))) def get_memory_store_size(self): return CCoreWorkerProcess.GetCoreWorker().GetMemoryStoreSize() diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index b485abff9074..91a6837b235c 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -318,7 +318,11 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int64_t item_index, uint64_t attempt_number, shared_ptr[CGeneratorBackpressureWaiter] waiter) - c_string MemoryUsageString() + + # Param output contains the usage string if successful. + # Returns an error status if unable to communicate with the plasma store. + CRayStatus GetPlasmaUsage(c_string &output) + int GetMemoryStoreSize() CWorkerContext &GetWorkerContext() diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 522b81d2bfb5..c43b44f09a74 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2295,9 +2295,12 @@ void CoreWorker::TriggerGlobalGC() { }); } -std::string CoreWorker::MemoryUsageString() { - // Currently only the Plasma store returns a debug string. - return plasma_store_provider_->MemoryUsageString(); +Status CoreWorker::GetPlasmaUsage(std::string &output) { + StatusOr response = plasma_store_provider_->GetMemoryUsage(); + if (response.ok()) { + output = response.value(); + } + return response.status(); } TaskID CoreWorker::GetCallerId() const { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 398e1dc3cfbe..ad93fcea9c55 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -189,6 +189,12 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Public methods used by `CoreWorkerProcess` and `CoreWorker` itself. /// + /// Get the Plasma Store Usage. + /// + /// \param output[out] memory usage from the plasma store + /// \return error status if unable to get response from the plasma store + Status GetPlasmaUsage(std::string &output); + /// Gracefully disconnect the worker from Raylet. /// Once the method is returned, it is guaranteed that raylet is /// notified that this worker is disconnected from a raylet. @@ -790,11 +796,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { rpc::ReportGeneratorItemReturnsReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Get a string describing object store memory usage for debugging purposes. - /// - /// \return std::string The string describing memory usage. - std::string MemoryUsageString(); - /// /// Public methods related to task submission. /// diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 6014bac8ef78..3e921671630b 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -21,6 +21,8 @@ #include #include "ray/common/ray_config.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { @@ -142,11 +144,13 @@ Status CoreWorkerPlasmaStoreProvider::Create(const std::shared_ptr &meta /*device_num=*/0); if (status.IsObjectStoreFull()) { + StatusOr memory_usage = GetMemoryUsage(); + RAY_CHECK_OK(memory_usage.status()) << "Unable to communicate with the Plasma Store."; RAY_LOG(ERROR) << "Failed to put object " << object_id << " in object store because it " << "is full. Object size is " << data_size << " bytes.\n" << "Plasma store status:\n" - << MemoryUsageString() << "\n---\n" + << memory_usage.value() << "\n---\n" << "--- Tip: Use the `ray memory` command to list active objects " "in the cluster." << "\n---\n"; @@ -431,8 +435,8 @@ Status CoreWorkerPlasmaStoreProvider::Delete( return raylet_client_->FreeObjects(object_id_vector, local_only); } -std::string CoreWorkerPlasmaStoreProvider::MemoryUsageString() { - return store_client_->DebugString(); +StatusOr CoreWorkerPlasmaStoreProvider::GetMemoryUsage() { + return store_client_->GetMemoryUsage(); } absl::flat_hash_map> diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index 60aa0006691b..dbf2c778f4f2 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -24,6 +24,7 @@ #include "ray/common/buffer.h" #include "ray/common/id.h" #include "ray/common/status.h" +#include "ray/common/status_or.h" #include "ray/core_worker/common.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" @@ -197,7 +198,7 @@ class CoreWorkerPlasmaStoreProvider { /// \return Output mapping of used object ids to (size, callsite). absl::flat_hash_map> UsedObjectsList() const; - std::string MemoryUsageString(); + StatusOr GetMemoryUsage(); std::shared_ptr &store_client() { return store_client_; } diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 4b097419e5d8..39d51da16e00 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -41,6 +41,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:ray_object", "//src/ray/common:status", + "//src/ray/common:status_or", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:common_cc_proto", "//src/ray/util", diff --git a/src/ray/object_manager/plasma/client.cc b/src/ray/object_manager/plasma/client.cc index a1d8613aaba6..a15f6eb5b165 100644 --- a/src/ray/object_manager/plasma/client.cc +++ b/src/ray/object_manager/plasma/client.cc @@ -30,6 +30,8 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" #include "ray/object_manager/plasma/connection.h" #include "ray/object_manager/plasma/plasma.h" #include "ray/object_manager/plasma/protocol.h" @@ -71,7 +73,7 @@ class RAY_NO_EXPORT PlasmaMutableBuffer : public SharedMemoryBuffer { PlasmaMutableBuffer(std::shared_ptr client, uint8_t *mutable_data, int64_t data_size) - : SharedMemoryBuffer(mutable_data, data_size), client_(client) {} + : SharedMemoryBuffer(mutable_data, data_size), client_(std::move(client)) {} private: std::shared_ptr client_; @@ -162,7 +164,7 @@ class PlasmaClient::Impl : public std::enable_shared_from_this GetMemoryUsage(); bool IsInUse(const ObjectID &object_id); @@ -898,20 +900,25 @@ Status PlasmaClient::Impl::Disconnect() { return Status::OK(); } -std::string PlasmaClient::Impl::DebugString() { +StatusOr PlasmaClient::Impl::GetMemoryUsage() { std::lock_guard guard(client_mutex_); - if (!SendGetDebugStringRequest(store_conn_).ok()) { - return "error sending request"; + auto request_status = SendGetDebugStringRequest(store_conn_); + if (!request_status.ok()) { + return StatusOr(request_status); } std::vector buffer; - if (!PlasmaReceive(store_conn_, MessageType::PlasmaGetDebugStringReply, &buffer).ok()) { - return "error receiving reply"; + auto recv_status = + PlasmaReceive(store_conn_, MessageType::PlasmaGetDebugStringReply, &buffer); + if (!recv_status.ok()) { + return StatusOr(recv_status); } std::string debug_string; - if (!ReadGetDebugStringReply(buffer.data(), buffer.size(), &debug_string).ok()) { - return "error parsing reply"; + auto response_status = + ReadGetDebugStringReply(buffer.data(), buffer.size(), &debug_string); + if (!response_status.ok()) { + return StatusOr(response_status); } - return debug_string; + return StatusOr(debug_string); } // ---------------------------------------------------------------------- @@ -1013,7 +1020,7 @@ Status PlasmaClient::Delete(const std::vector &object_ids) { Status PlasmaClient::Disconnect() { return impl_->Disconnect(); } -std::string PlasmaClient::DebugString() { return impl_->DebugString(); } +StatusOr PlasmaClient::GetMemoryUsage() { return impl_->GetMemoryUsage(); } bool PlasmaClient::IsInUse(const ObjectID &object_id) { return impl_->IsInUse(object_id); diff --git a/src/ray/object_manager/plasma/client.h b/src/ray/object_manager/plasma/client.h index aba45e0069f5..41697b775a5a 100644 --- a/src/ray/object_manager/plasma/client.h +++ b/src/ray/object_manager/plasma/client.h @@ -24,6 +24,7 @@ #include "ray/common/buffer.h" #include "ray/common/status.h" +#include "ray/common/status_or.h" #include "ray/object_manager/common.h" #include "ray/object_manager/plasma/common.h" #include "ray/util/visibility.h" @@ -35,6 +36,7 @@ using ray::Buffer; using ray::PlasmaObjectHeader; using ray::SharedMemoryBuffer; using ray::Status; +using ray::StatusOr; struct MutableObject { MutableObject(uint8_t *base_ptr, const PlasmaObject &object_info) @@ -291,8 +293,8 @@ class PlasmaClient : public PlasmaClientInterface { /// Get the current debug string from the plasma store server. /// - /// \return The debug string. - std::string DebugString(); + /// \return the debug string if successful, otherwise return an error status. + StatusOr GetMemoryUsage(); /// Get the memory capacity of the store. /// diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index 30f4db635655..c74b707e0e84 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -489,8 +489,11 @@ Status PlasmaStore::ProcessClientMessage(std::shared_ptr client, return Status::Disconnected("The Plasma Store client is disconnected."); break; case fb::MessageType::PlasmaGetDebugStringRequest: { - RAY_RETURN_NOT_OK(SendGetDebugStringReply( - client, object_lifecycle_mgr_.EvictionPolicyDebugString())); + std::stringstream output_string_stream; + object_lifecycle_mgr_.GetDebugDump(output_string_stream); + output_string_stream << "\nEviction Stats:"; + output_string_stream << object_lifecycle_mgr_.EvictionPolicyDebugString(); + RAY_RETURN_NOT_OK(SendGetDebugStringReply(client, output_string_stream.str())); } break; default: // This code should be unreachable. From a9f773b378182615321f24230eadada47e46b550 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 16 Jul 2025 14:13:37 -0700 Subject: [PATCH 0234/1566] [serve.llm] Handle Mistral tekken tokenizer (#54666) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../utils/node_initialization_utils.py | 26 ++++++---- .../utils/test_node_initialization_utils.py | 49 +++++++++++++++++++ 2 files changed, 66 insertions(+), 9 deletions(-) create mode 100644 python/ray/llm/tests/serve/cpu/deployments/utils/test_node_initialization_utils.py diff --git a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py index 1dd8e7aa2279..94ebf1ae911d 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py @@ -8,7 +8,7 @@ download_model_files, ) from ray.llm._internal.common.utils.import_utils import try_import -from ray.llm._internal.serve.configs.server_models import LLMConfig +from ray.llm._internal.serve.configs.server_models import LLMConfig, LLMEngine from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import VLLMEngineConfig from ray.llm._internal.serve.deployments.utils.server_utils import make_async from ray.llm._internal.serve.observability.logging import get_logger @@ -103,7 +103,7 @@ async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: ) await _initialize_local_node( - engine_config, + llm_config, download_model=local_node_download_model, download_extra_files=True, ) @@ -123,11 +123,12 @@ async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: @make_async def _initialize_local_node( - engine_config: VLLMEngineConfig, + llm_config: LLMConfig, *, download_model: NodeModelDownloadable, download_extra_files: bool, ): + engine_config = llm_config.get_engine_config() local_path = download_model_files( model_id=engine_config.actual_hf_model_id, mirror_config=engine_config.mirror_config, @@ -143,9 +144,16 @@ def _initialize_local_node( if not isinstance(local_path, str) or not os.path.exists(local_path): logger.info(f"Downloading the tokenizer for {engine_config.actual_hf_model_id}") - # TODO (Kourosh): commented out since for Mistral models that don't support - # tekken this code does not work (e.g. mistralai/Devstral-Small-2505) - # _ = transformers.AutoTokenizer.from_pretrained( - # engine_config.actual_hf_model_id, - # trust_remote_code=engine_config.trust_remote_code, - # ) + if llm_config.llm_engine == LLMEngine.vLLM: + from vllm.transformers_utils.tokenizer import get_tokenizer + + _ = get_tokenizer( + engine_config.actual_hf_model_id, + tokenizer_mode=engine_config.engine_kwargs.get("tokenizer_mode", None), + trust_remote_code=engine_config.trust_remote_code, + ) + else: + _ = transformers.AutoTokenizer.from_pretrained( + engine_config.actual_hf_model_id, + trust_remote_code=engine_config.trust_remote_code, + ) diff --git a/python/ray/llm/tests/serve/cpu/deployments/utils/test_node_initialization_utils.py b/python/ray/llm/tests/serve/cpu/deployments/utils/test_node_initialization_utils.py new file mode 100644 index 000000000000..7368d32d0c10 --- /dev/null +++ b/python/ray/llm/tests/serve/cpu/deployments/utils/test_node_initialization_utils.py @@ -0,0 +1,49 @@ +import pytest + +from ray.llm._internal.common.utils.download_utils import NodeModelDownloadable +from ray.llm._internal.serve.configs.server_models import LLMConfig, ModelLoadingConfig +from ray.llm._internal.serve.deployments.utils.node_initialization_utils import ( + _initialize_local_node, +) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "model_id,tokenizer_mode,trust_remote_code", + [ + # Test mistral tokenizer with Tekken-based model + ("mistralai/Devstral-Small-2505", "mistral", False), + # Test auto tokenizer with non-Tekken model (Qwen) + ("Qwen/Qwen2.5-0.5B-Instruct", "auto", False), + # Test slow tokenizer with non-Tekken model + ("Qwen/Qwen2.5-0.5B-Instruct", "slow", False), + ], +) +async def test_tokenizer_download(model_id, tokenizer_mode, trust_remote_code): + """ + Test that _initialize_local_node correctly downloads and initializes tokenizers + for different models and tokenizer modes. + Regression test for https://github.com/ray-project/ray/issues/53873 + """ + llm_config = LLMConfig( + runtime_env={}, + model_loading_config=ModelLoadingConfig( + model_id=model_id, + ), + log_engine_metrics=False, + engine_kwargs={ + "tokenizer_mode": tokenizer_mode, + "enforce_eager": True, + "trust_remote_code": trust_remote_code, + }, + ) + + await _initialize_local_node( + llm_config, + download_model=NodeModelDownloadable.TOKENIZER_ONLY, + download_extra_files=False, + ) + + +if __name__ == "__main__": + pytest.main([__file__]) From f83caf85e24a9002f28267bbf6d34ee488b0afdc Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Wed, 16 Jul 2025 14:18:40 -0700 Subject: [PATCH 0235/1566] [Core] Add core as code owner for more files (#54669) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 62 ++++++++++++---------------------------------- 1 file changed, 16 insertions(+), 46 deletions(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 623c392843e8..870a4cbec02d 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -14,60 +14,26 @@ # ==== Ray core ==== -# API compatibility -/src/ray/protobuf/common.proto @pcmoritz @raulchen @ray-project/ray-core -/src/ray/protobuf/gcs.proto @pcmoritz @raulchen @ray-project/ray-core -/src/ray/protobuf/gcs_service.proto @pcmoritz @raulchen @ray-project/ray-core - -# Autoscaler -/python/ray/autoscaler/ @ray-project/ray-core - -# Metrics -/src/ray/stats/metric_defs.h @ray-project/ray-core -/src/ray/stats/metric_defs.cc @ray-project/ray-core - -# Telemetry -/src/ray/protobuf/usage.proto @pcmoritz @thomasdesr - # All C++ code. -# /src/ray @ray-project/ray-core-cpp - -# GCS -/src/ray/gcs/ @ray-project/ray-core - -# Dependencies -/python/setup.py @richardliaw @edoakes @aslonnie - -# CI -/ci/lint/format.sh @ray-project/ray-ci -/ci/docker @ray-project/ray-ci -/ci/ray_ci @ray-project/ray-ci +/src/ @ray-project/ray-core # Python worker. -#/python/ray/ @ray-project/ray-core -#!/python/ray/tune/ @ray-project/ray-core -#!/python/ray/rllib/ @ray-project/ray-core +/python/ray/ @ray-project/ray-core # Java worker. -/java/dependencies.bzl @kfstorm @raulchen @WangTaoTheTonic @SongGuyang -/java/pom.xml @kfstorm @raulchen @WangTaoTheTonic @SongGuyang -/java/pom_template.xml @kfstorm @raulchen @WangTaoTheTonic @SongGuyang -/java/*/pom_template.xml @kfstorm @raulchen @WangTaoTheTonic @SongGuyang -/java/api/ @kfstorm @raulchen @WangTaoTheTonic @SongGuyang +/java/ @kfstorm @raulchen @WangTaoTheTonic @SongGuyang @ray-project/ray-core # C++ worker -/cpp/include/ray @SongGuyang @raulchen @kfstorm @ray-project/ray-core - -# Ray Client -/src/ray/protobuf/ray_client.proto @ray-project/ray-core +/cpp/ @SongGuyang @raulchen @kfstorm @ray-project/ray-core -# Runtime Env -# TODO(SongGuyang): Add new items to guarantee runtime env API compatibility in multiple languages. -/src/ray/protobuf/runtime_env_common.proto @SongGuyang @raulchen @edoakes @ray-project/ray-core -/src/ray/protobuf/runtime_env_agent.proto @SongGuyang @raulchen @edoakes @ray-project/ray-core +/doc/source/cluster/ @ray-project/ray-core @ray-project/ray-docs +/doc/source/ray-core/ @ray-project/ray-core @ray-project/ray-docs # ==== Libraries and frameworks ==== +# Dependencies +/python/setup.py @richardliaw @edoakes @aslonnie + # Common directory shared by core and the libraries. # @edoakes is the czar for now because the pattern is new. /python/ray/_common/ @edoakes @aslonnie @@ -84,9 +50,6 @@ /rllib/ @ray-project/ray-rllib /doc/source/rllib/ @ray-project/ray-rllib @ray-project/ray-docs -# Cluster (docs) -/doc/source/cluster/ @pcmoritz @kevin85421 @ray-project/ray-docs - # Tune /python/ray/tune/ @ray-project/ray-tune /doc/source/tune/ @ray-project/ray-tune @ray-project/ray-docs @@ -100,6 +63,7 @@ # Ray Serve /python/ray/serve/ @ray-project/ray-serve +/src/ray/protobuf/serve.proto @ray-project/ray-serve /doc/source/serve/ @ray-project/ray-serve @ray-project/ray-docs # ML Docker Dependencies @@ -113,6 +77,7 @@ # Ray usage stats /python/ray/_private/usage/ @edoakes @richardliaw @jjyao /python/ray/dashboard/modules/usage_stats/ @edoakes @richardliaw @jjyao +/src/ray/protobuf/usage.proto @pcmoritz @thomasdesr # ==== Build and CI ==== @@ -125,6 +90,11 @@ # CI scripts. #/ci/ @ray-project/ray-core @ray-project/ray-ci +# CI +/ci/lint/format.sh @ray-project/ray-ci +/ci/docker @ray-project/ray-ci +/ci/ray_ci @ray-project/ray-ci + # Buildkite pipeline management .buildkite/hooks @ray-project/ray-ci From ce43c28b295323cde9af06f44d8e7b1c17775477 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 16 Jul 2025 14:58:19 -0700 Subject: [PATCH 0236/1566] [deps] upgrade polars to 1.31.0 (#54653) from 0.14.x Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 862227357082..28b30d03c605 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -85,7 +85,7 @@ pytest-docker-tools==3.1.3 pytest-forked==1.4.0 # For dataset tests -polars==0.14.21 +polars>=1.30.0,<2.0.0 importlib-metadata==6.11.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index ef821cbc26d5..d601aeff14ec 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1456,7 +1456,7 @@ plotly==5.23.0 # via ax-platform pluggy==1.3.0 # via pytest -polars==0.14.21 +polars==1.30.0 # via -r python/requirements/test-requirements.txt portalocker==2.8.2 # via From ad3a515dbeaf9ad6792f4472c30fc777da9199e8 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 16 Jul 2025 16:29:10 -0700 Subject: [PATCH 0237/1566] [ci] updating pre commit config - updating buildifier paths (#54593) Updates to buildifier pre-commit hook: - adding ci & release paths - including BAZEL.build files for lint --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 6 ++- ci/lint/generate_compile_commands/BUILD.bazel | 2 + ci/pipeline/BUILD.bazel | 2 +- ci/ray_ci/BUILD.bazel | 6 +-- ci/ray_ci/automation/BUILD.bazel | 2 +- ci/ray_ci/bisect/BUILD.bazel | 4 +- ci/ray_ci/doc/BUILD.bazel | 22 +++++++-- ci/ray_ci/pipeline/BUILD.bazel | 6 +-- cpp/BUILD.bazel | 26 ++++++----- release/BUILD.bazel | 29 ++++++------ src/ray/core_worker/BUILD.bazel | 46 +++++++++---------- src/ray/core_worker/lib/java/BUILD.bazel | 2 +- src/ray/core_worker/test/BUILD.bazel | 22 ++++----- src/ray/object_manager/BUILD.bazel | 2 +- src/ray/object_manager/plasma/BUILD.bazel | 2 +- src/ray/pubsub/BUILD.bazel | 2 +- src/ray/raylet/scheduling/BUILD.bazel | 2 +- src/ray/raylet_client/BUILD.bazel | 5 +- src/ray/rpc/test/grpc_bench/BUILD.bazel | 7 ++- src/ray/stats/BUILD.bazel | 4 +- src/ray/telemetry/BUILD.bazel | 4 +- 21 files changed, 113 insertions(+), 90 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 28acdb0d95af..d08d6a40d413 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -84,9 +84,11 @@ repos: rev: 8.0.1 hooks: - id: buildifier - files: ^(src|cpp|python|rllib)(/[^/]+)*/BUILD$ + files: ^(src|cpp|python|rllib|ci|release)(/[^/]+)*/BUILD(\.bazel)?$ + exclude: ^(cpp/example/.*)$ - id: buildifier-lint - files: ^(src|cpp|python|rllib)(/[^/]+)*/BUILD$ + files: ^(src|cpp|python|rllib|ci|release)(/[^/]+)*/BUILD(\.bazel)?$ + exclude: ^(cpp/example/.*)$ - repo: https://github.com/psf/black rev: 22.10.0 diff --git a/ci/lint/generate_compile_commands/BUILD.bazel b/ci/lint/generate_compile_commands/BUILD.bazel index c89ba37b0ef4..01fdd4ca76d9 100644 --- a/ci/lint/generate_compile_commands/BUILD.bazel +++ b/ci/lint/generate_compile_commands/BUILD.bazel @@ -4,6 +4,8 @@ # action listeners are deprecated. We can switch to that if a stable solution # exists, e.g. https://github.com/grailbio/bazel-compilation-database +load("@rules_cc//cc:defs.bzl", "cc_binary") + cc_binary( name = "extract_compile_command", srcs = ["extract_compile_command.cc"], diff --git a/ci/pipeline/BUILD.bazel b/ci/pipeline/BUILD.bazel index 38af1c3917cd..b24e79878a60 100644 --- a/ci/pipeline/BUILD.bazel +++ b/ci/pipeline/BUILD.bazel @@ -1,5 +1,5 @@ load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") -load("@rules_python//python:defs.bzl", "py_test") +load("@rules_python//python:defs.bzl", "py_library", "py_test") py_library( name = "determine_tests_to_run", diff --git a/ci/ray_ci/BUILD.bazel b/ci/ray_ci/BUILD.bazel index 4c0617ff24a3..35318b66e4c2 100644 --- a/ci/ray_ci/BUILD.bazel +++ b/ci/ray_ci/BUILD.bazel @@ -1,5 +1,5 @@ -load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_library( name = "ray_ci_lib", @@ -11,8 +11,8 @@ py_library( "build_in_docker.py", ], ), - visibility = ["//ci/ray_ci:__subpackages__"], data = glob(["*.yaml"]), + visibility = ["//ci/ray_ci:__subpackages__"], deps = [ ci_require("boto3"), ci_require("pyyaml"), @@ -217,7 +217,7 @@ py_test( size = "small", srcs = ["test_privileged.py"], tags = [ - "team:ci" + "team:ci", ], deps = [ci_require("pytest")], ) diff --git a/ci/ray_ci/automation/BUILD.bazel b/ci/ray_ci/automation/BUILD.bazel index e3351bbf965f..a56cabe3d4fe 100644 --- a/ci/ray_ci/automation/BUILD.bazel +++ b/ci/ray_ci/automation/BUILD.bazel @@ -1,5 +1,5 @@ -load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_library( name = "automation", diff --git a/ci/ray_ci/bisect/BUILD.bazel b/ci/ray_ci/bisect/BUILD.bazel index 445c5dc5c266..e162047b9425 100644 --- a/ci/ray_ci/bisect/BUILD.bazel +++ b/ci/ray_ci/bisect/BUILD.bazel @@ -1,12 +1,12 @@ -load("@rules_python//python:defs.bzl", "py_library", "py_test") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_binary( name = "bisect_test", srcs = ["bisect_test.py"], + data = [":macos_validator"], exec_compatible_with = ["//:hermetic_python"], deps = [":bisect"], - data = [":macos_validator"], ) genrule( diff --git a/ci/ray_ci/doc/BUILD.bazel b/ci/ray_ci/doc/BUILD.bazel index 405d506030a4..4aed0f52537c 100644 --- a/ci/ray_ci/doc/BUILD.bazel +++ b/ci/ray_ci/doc/BUILD.bazel @@ -1,5 +1,5 @@ -load("@rules_python//python:defs.bzl", "py_library", "py_test") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_binary( name = "cmd_check_api_discrepancy", @@ -10,8 +10,8 @@ py_binary( py_binary( name = "cmd_build", srcs = ["cmd_build.py"], - deps = [":doc"], exec_compatible_with = ["//:hermetic_python"], + deps = [":doc"], ) py_library( @@ -37,7 +37,11 @@ py_library( py_test( name = "test_module", size = "small", - srcs = ["test_module.py", "mock/__init__.py", "mock/mock_module.py"], + srcs = [ + "mock/__init__.py", + "mock/mock_module.py", + "test_module.py", + ], exec_compatible_with = ["//:hermetic_python"], tags = [ "ci_unit", @@ -52,7 +56,11 @@ py_test( py_test( name = "test_api", size = "small", - srcs = ["test_api.py", "mock/__init__.py", "mock/mock_module.py"], + srcs = [ + "mock/__init__.py", + "mock/mock_module.py", + "test_api.py", + ], exec_compatible_with = ["//:hermetic_python"], tags = [ "ci_unit", @@ -67,7 +75,11 @@ py_test( py_test( name = "test_autodoc", size = "small", - srcs = ["test_autodoc.py", "mock/__init__.py", "mock/mock_module.py"], + srcs = [ + "mock/__init__.py", + "mock/mock_module.py", + "test_autodoc.py", + ], exec_compatible_with = ["//:hermetic_python"], tags = [ "ci_unit", diff --git a/ci/ray_ci/pipeline/BUILD.bazel b/ci/ray_ci/pipeline/BUILD.bazel index bda9f44743aa..9835a49bff24 100644 --- a/ci/ray_ci/pipeline/BUILD.bazel +++ b/ci/ray_ci/pipeline/BUILD.bazel @@ -1,11 +1,11 @@ -load("@rules_python//python:defs.bzl", "py_library", "py_test") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") py_binary( - name="scheduler", + name = "scheduler", srcs = ["scheduler.py"], - deps = [":pipeline"], exec_compatible_with = ["//:hermetic_python"], + deps = [":pipeline"], ) py_library( diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 6e43d955a8f7..0af4cb8173d2 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -1,6 +1,8 @@ # Bazel build # C/C++ documentation: https://docs.bazel.build/versions/master/be/c-cpp.html +load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_test") +load("@rules_python//python:defs.bzl", "py_test") load("//bazel:python.bzl", "py_test_module_list") load("//bazel:ray.bzl", "COPTS") @@ -30,7 +32,6 @@ cc_binary( cc_library( name = "ray_api_lib", srcs = glob([ - "src/ray/api.cc", "src/ray/api/*.cc", "src/ray/api/*.h", "src/ray/app/*.cc", @@ -89,9 +90,9 @@ cc_library( cc_binary( name = "default_worker", - srcs = glob([ + srcs = [ "src/ray/worker/default_worker.cc", - ]), + ], copts = COPTS, linkstatic = True, deps = select({ @@ -218,8 +219,9 @@ cc_test( cc_test( name = "cluster_mode_xlang_test", - srcs = glob([ + srcs = [ "src/ray/test/cluster/cluster_mode_xlang_test.cc", + ] + glob([ "src/ray/test/cluster/*.h", ]), args = [ @@ -285,9 +287,9 @@ cc_binary( cc_test( name = "simple_kv_store", - srcs = glob([ + srcs = [ "src/ray/test/examples/simple_kv_store.cc", - ]), + ], args = [ "--ray_code_search_path=$(location simple_kv_store.so)", "--ray_head_args '--include-dashboard false'", @@ -306,9 +308,9 @@ cc_test( cc_binary( name = "simple_kv_store.so", testonly = True, - srcs = glob([ + srcs = [ "src/ray/test/examples/simple_kv_store.cc", - ]), + ], copts = COPTS, linkopts = ["-shared"], linkstatic = True, @@ -356,9 +358,9 @@ cc_binary( cc_test( name = "metric_example", - srcs = glob([ + srcs = [ "src/ray/test/examples/metric_example.cc", - ]), + ], args = [ "--ray_code_search_path $(location metric_example.so)", ], @@ -381,9 +383,9 @@ cc_test( cc_binary( name = "metric_example.so", testonly = True, - srcs = glob([ + srcs = [ "src/ray/test/examples/metric_example.cc", - ]), + ], linkopts = ["-shared"], linkstatic = True, deps = [ diff --git a/release/BUILD.bazel b/release/BUILD.bazel index e419c5af0a56..519c0b747f9d 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -1,6 +1,6 @@ -load("@rules_python//python:defs.bzl", "py_library", "py_test") -load("@rules_python//python:pip.bzl", "compile_pip_requirements") load("@py_deps_buildkite//:requirements.bzl", bk_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") +load("@rules_python//python:pip.bzl", "compile_pip_requirements") compile_pip_requirements( name = "requirements_buildkite", @@ -120,7 +120,10 @@ py_test( name = "xgboost_train_batch_inference_benchmark_smoke_test", size = "small", srcs = test_srcs, - args = ["xgboost", "--smoke-test"], + args = [ + "xgboost", + "--smoke-test", + ], main = "train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py", tags = [ "exclusive", @@ -275,13 +278,12 @@ sh_binary( env = { "NO_INSTALL": "1", "RAY_TEST_SCRIPT": "./run_release_test", - } + }, ) py_binary( name = "run_release_test", srcs = ["ray_release/scripts/run_release_test.py"], - deps = [":ray_release"], data = glob( ["**/*.yaml"], exclude = ["ray_release/**/*.yaml"], @@ -291,7 +293,8 @@ py_binary( ] + glob( ["**/*.py"], exclude = ["ray_release/tests/*.py"], - ) + ), + deps = [":ray_release"], ) py_library( @@ -591,7 +594,7 @@ py_test( exec_compatible_with = ["//:hermetic_python"], tags = [ "release_unit", - "team:ci" + "team:ci", ], deps = [ ":ray_release", @@ -671,14 +674,14 @@ py_test( py_binary( name = "build_pipeline", srcs = ["ray_release/scripts/build_pipeline.py"], + data = glob(["**/*.yaml"]) + [ + "ray_release/byod/byod.Dockerfile", + "ray_release/byod/byod.custom.Dockerfile", + "//python/ray/autoscaler/aws:test_configs", + "//python/ray/autoscaler/gcp:test_configs", + ], exec_compatible_with = ["//:hermetic_python"], deps = [ ":ray_release", ], - data = glob(["**/*.yaml"]) + [ - "//python/ray/autoscaler/aws:test_configs", - "//python/ray/autoscaler/gcp:test_configs", - "ray_release/byod/byod.custom.Dockerfile", - "ray_release/byod/byod.Dockerfile", - ] ) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index fe1af772fe93..0f4ad6e2bedc 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -28,15 +28,15 @@ ray_cc_library( ":reference_count", ":task_event_buffer", ":task_receiver", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs:gcs_pb_util", - "//src/ray/pubsub:pubsub_lib", "//:worker_rpc", "//src/ray/common/cgroup:cgroup_context", "//src/ray/common/cgroup:cgroup_manager", "//src/ray/common/cgroup:constants", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/pubsub:pubsub_lib", + "//src/ray/raylet_client:raylet_client_lib", "//src/ray/stats:stats_lib", "//src/ray/util", "//src/ray/util:container_util", @@ -58,11 +58,11 @@ ray_cc_library( hdrs = ["core_worker_options.h"], deps = [ ":core_worker_common", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", "//src/ray/common:task_common", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:process", ], ) @@ -102,10 +102,10 @@ ray_cc_library( srcs = ["common.cc"], hdrs = ["common.h"], deps = [ - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:task_common", + "//src/ray/raylet_client:raylet_client_lib", ], ) @@ -143,8 +143,8 @@ ray_cc_library( name = "actor_creator", hdrs = ["actor_creator.h"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/common:ray_config", + "//src/ray/gcs/gcs_client:gcs_client_lib", ], ) @@ -160,10 +160,10 @@ ray_cc_library( ":core_worker_context", ":reference_count", ":task_receiver", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs:gcs_pb_util", "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:worker_cc_proto", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest_prod", @@ -177,10 +177,10 @@ ray_cc_library( deps = [ ":lease_policy", "//:grpc_server", - "//src/ray/pubsub:pubsub_lib", "//:worker_rpc", "//src/ray/common:id", "//src/ray/protobuf:common_cc_proto", + "//src/ray/pubsub:pubsub_lib", "//src/ray/util:logging", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -205,11 +205,11 @@ ray_cc_library( srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs:gcs_pb_util", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:export_task_event_cc_proto", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/util:counter_map", @@ -283,9 +283,9 @@ ray_cc_library( ":memory_store", ":task_event_buffer", ":task_manager_interface", - "//src/ray/gcs:gcs_pb_util", "//src/ray/common:id", "//src/ray/common:ray_object", + "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:worker_cc_proto", "//src/ray/stats:stats_metric", @@ -325,12 +325,12 @@ ray_cc_library( ":dependency_resolver", ":out_of_order_actor_submit_queue", ":sequential_actor_submit_queue", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs:gcs_pb_util", "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_object", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -342,11 +342,11 @@ ray_cc_library( srcs = ["transport/scheduling_util.cc"], hdrs = ["transport/scheduling_util.h"], deps = [ - "//src/ray/raylet_client:raylet_client_lib", "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:worker_cc_proto", + "//src/ray/raylet_client:raylet_client_lib", ], ) @@ -376,11 +376,11 @@ ray_cc_library( ":scheduling_util", ":task_event_buffer", ":thread_pool", - "//src/ray/raylet_client:raylet_client_lib", "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:worker_cc_proto", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -410,11 +410,11 @@ ray_cc_library( ":scheduling_util", ":task_event_buffer", ":thread_pool", - "//src/ray/raylet_client:raylet_client_lib", "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:worker_cc_proto", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -488,8 +488,8 @@ ray_cc_library( hdrs = ["experimental_mutable_object_provider.h"], deps = [ ":experimental_mutable_object_manager", - "//src/ray/raylet_client:raylet_client_lib", "//:rpc_client_call", + "//src/ray/raylet_client:raylet_client_lib", ], ) @@ -511,8 +511,8 @@ ray_cc_library( ":memory_store", ":reference_count", ":task_manager", - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/common:id", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], @@ -537,13 +537,13 @@ ray_cc_library( ":core_worker_common", ":core_worker_context", ":reference_count", - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -561,10 +561,10 @@ ray_cc_library( ":memory_store", ":task_manager", ":task_receiver", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/gcs:gcs_pb_util", "//:worker_rpc", "//src/ray/common:id", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/core_worker/lib/java/BUILD.bazel b/src/ray/core_worker/lib/java/BUILD.bazel index d5834e0e5774..bce303e200b8 100644 --- a/src/ray/core_worker/lib/java/BUILD.bazel +++ b/src/ray/core_worker/lib/java/BUILD.bazel @@ -21,10 +21,10 @@ ray_cc_binary( visibility = ["//java:__subpackages__"], deps = [ "//:exported_internal", - "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", + "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/stats:stats_lib", "@bazel_tools//tools/jdk:jni", ], diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index 15981eaca3f9..926986e7f223 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -68,12 +68,12 @@ ray_cc_test( srcs = ["direct_actor_transport_mock_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", "//src/ray/core_worker:task_receiver", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -86,12 +86,12 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/raylet_client:raylet_client_lib", "//:worker_rpc", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:dependency_resolver", "//src/ray/core_worker:memory_store", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -104,12 +104,12 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/raylet_client:raylet_client_lib", "//:worker_rpc", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -121,11 +121,11 @@ ray_cc_test( srcs = ["reference_count_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/pubsub:pubsub_lib", "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", + "//src/ray/pubsub:pubsub_lib", "@com_google_absl//absl/functional:bind_front", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -139,13 +139,13 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:normal_task_submitter", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", + "//src/ray/raylet_client:raylet_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -226,7 +226,6 @@ ray_cc_test( srcs = ["task_manager_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", @@ -234,6 +233,7 @@ ray_cc_test( "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_event_buffer", "//src/ray/core_worker:task_manager", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -245,11 +245,11 @@ ray_cc_test( srcs = ["task_event_buffer_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:task_event_buffer", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -268,11 +268,11 @@ ray_cc_test( "team:core", ], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:task_event_buffer", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -288,10 +288,10 @@ ray_cc_test( srcs = ["actor_creator_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:test_util", "//src/ray/core_worker:actor_creator", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -303,11 +303,11 @@ ray_cc_test( srcs = ["generator_waiter_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:test_util", "//src/ray/core_worker:core_worker_common", "//src/ray/core_worker:generator_waiter", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -319,12 +319,12 @@ ray_cc_test( srcs = ["actor_manager_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:actor_manager", "//src/ray/core_worker:task_receiver", + "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index dd784a2acf6a..199460c60253 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -120,8 +120,8 @@ ray_cc_library( "//:grpc_client", "//:rpc_client_call", "//src/ray/common:ray_config", - "@com_google_absl//absl/synchronization", "@com_github_grpc_grpc//:grpc++", + "@com_google_absl//absl/synchronization", ], ) diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 39d51da16e00..5cb94f279a1d 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -170,8 +170,8 @@ ray_cc_library( ], deps = [ ":object_manager_plasma_common", - "//src/ray/thirdparty:dlmalloc", "//src/ray/common:ray_config", + "//src/ray/thirdparty:dlmalloc", "//src/ray/util:compat", "@com_google_absl//absl/container:flat_hash_map", ], diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 6823c4ffd046..b8d5ae8e8952 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -41,8 +41,8 @@ ray_cc_test( srcs = ["test/integration_test.cc"], tags = ["team:core"], deps = [ - "//:pubsub_cc_grpc", ":pubsub_lib", + "//:pubsub_cc_grpc", "//src/ray/protobuf:pubsub_cc_proto", "@com_google_absl//absl/synchronization", "@com_google_absl//absl/time", diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index 9999fda656e9..3d835dfa465f 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -120,11 +120,11 @@ ray_cc_library( srcs = ["local_resource_manager.cc"], hdrs = ["local_resource_manager.h"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/common:grpc_util", "//src/ray/common:ray_config", "//src/ray/common:ray_syncer", "//src/ray/common:task_common", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/util:logging", diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 4f12b524ea98..1fe3d62c5844 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -1,6 +1,9 @@ load("//bazel:ray.bzl", "ray_cc_library") -exports_files(["raylet_connection.h", "raylet_client.h"]) +exports_files([ + "raylet_connection.h", + "raylet_client.h", +]) ray_cc_library( name = "raylet_client_connection_lib", diff --git a/src/ray/rpc/test/grpc_bench/BUILD.bazel b/src/ray/rpc/test/grpc_bench/BUILD.bazel index 923f8ec4c6ce..3fb27d696221 100644 --- a/src/ray/rpc/test/grpc_bench/BUILD.bazel +++ b/src/ray/rpc/test/grpc_bench/BUILD.bazel @@ -1,6 +1,6 @@ -load("@rules_proto//proto:defs.bzl", "proto_library") -load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_proto_library") load("@com_github_grpc_grpc//bazel:cc_grpc_library.bzl", "cc_grpc_library") +load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_proto_library") +load("@rules_proto//proto:defs.bzl", "proto_library") load("//bazel:ray.bzl", "COPTS") proto_library( @@ -20,13 +20,12 @@ cc_grpc_library( deps = [":helloworld_proto_lib_cc"], ) - cc_binary( name = "grpc_bench", srcs = ["grpc_bench.cc"], copts = COPTS, deps = [ - "//:grpc_common_lib", ":helloworld_cc_lib", + "//:grpc_common_lib", ], ) diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index f4bf398288a5..5b45ad2d07d1 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -13,11 +13,11 @@ ray_cc_library( "tag_defs.h", ], deps = [ + "//src/ray/common:ray_config", + "//src/ray/telemetry:open_telemetry_metric_recorder", "//src/ray/util", "//src/ray/util:logging", "//src/ray/util:size_literals", - "//src/ray/common:ray_config", - "//src/ray/telemetry:open_telemetry_metric_recorder", "@com_github_jupp0r_prometheus_cpp//pull", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/telemetry/BUILD.bazel b/src/ray/telemetry/BUILD.bazel index b9fec52ebbe1..a55197186043 100644 --- a/src/ray/telemetry/BUILD.bazel +++ b/src/ray/telemetry/BUILD.bazel @@ -1,4 +1,4 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( name = "open_telemetry_metric_recorder", @@ -10,9 +10,9 @@ ray_cc_library( ], deps = [ "//src/ray/util:logging", + "@com_google_absl//absl/container:flat_hash_map", "@io_opentelemetry_cpp//api", "@io_opentelemetry_cpp//exporters/otlp:otlp_grpc_metric_exporter", "@io_opentelemetry_cpp//sdk/src/metrics", - "@com_google_absl//absl/container:flat_hash_map", ], ) From 40a11b0fc083f4e81c5e67ddca1f23e7ec88764a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 16 Jul 2025 16:31:43 -0700 Subject: [PATCH 0238/1566] [ci] fix merge conflict on buildifer format (#54685) logical merge conflict on concurrent changes. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 9edf800520ff..d7317ccf80ab 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -161,8 +161,8 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/gcs:gcs_pb_util", - "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", + "//src/ray/protobuf:gcs_cc_proto", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", From ba6673c304f3ef31c47ae6f44ae9579b909a1a6b Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 16 Jul 2025 16:44:51 -0700 Subject: [PATCH 0239/1566] fix controller recovery test on windows (#54645) Fix `test_controller_recovery` on windows Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_controller_recovery.py | 9 ++++++--- python/ray/serve/tests/test_failure.py | 4 ++-- 2 files changed, 8 insertions(+), 5 deletions(-) diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index 365c49d3f8bd..95d38d796077 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -19,7 +19,7 @@ SERVE_NAMESPACE, SERVE_PROXY_NAME, ) -from ray.serve._private.test_utils import check_replica_counts +from ray.serve._private.test_utils import check_replica_counts, get_application_url from ray.serve.schema import LoggingConfig, ServeDeploySchema from ray.serve.tests.test_failure import request_with_retries from ray.util.state import list_actors @@ -52,7 +52,7 @@ def __call__(self, *args): serve.run(TransientConstructorFailureDeployment.bind(), name="app") for _ in range(10): response = request_with_retries( - "/recover_start_from_replica_actor_names/", timeout=30 + "/recover_start_from_replica_actor_names/", timeout=30, app_name="app" ) assert response.text == "hii" # Assert 2 replicas are running in deployment deployment after partially @@ -92,9 +92,12 @@ def __call__(self, *args): # Kill controller and wait for endpoint to be available again ray.kill(serve.context._global_client._controller, no_restart=False) + wait_for_condition( + lambda: get_application_url("HTTP", "app", use_localhost=True) is not None + ) for _ in range(10): response = request_with_retries( - "/recover_start_from_replica_actor_names/", timeout=30 + "/recover_start_from_replica_actor_names/", timeout=30, app_name="app" ) assert response.text == "hii" diff --git a/python/ray/serve/tests/test_failure.py b/python/ray/serve/tests/test_failure.py index 46ed62bfb086..16470f585de2 100644 --- a/python/ray/serve/tests/test_failure.py +++ b/python/ray/serve/tests/test_failure.py @@ -22,12 +22,12 @@ ) -def request_with_retries(endpoint, timeout=30): +def request_with_retries(endpoint, timeout=30, app_name=SERVE_DEFAULT_APP_NAME): start = time.time() while True: try: return httpx.get( - get_application_url("HTTP") + endpoint, + get_application_url("HTTP", app_name, use_localhost=True) + endpoint, timeout=timeout, ) except (httpx.RequestError, IndexError): From 09d1d62e24f9c69b52e4d6177fa1996ce60078f4 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Wed, 16 Jul 2025 17:25:49 -0700 Subject: [PATCH 0240/1566] [core][gpu-objects] Avoid triggering a KeyError by the GPU object GC callback for intra-actor communication (#54556) Signed-off-by: kaihsun Signed-off-by: Kai-Hsun Chen Co-authored-by: Stephanie Wang Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 12 +++- .../gpu_object_manager/gpu_object_store.py | 35 +++++++++++- python/ray/tests/test_gpu_objects_gloo.py | 56 +++++++++++++++++++ 3 files changed, 99 insertions(+), 4 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 41164f66cee5..aaf7f432d164 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -292,7 +292,13 @@ def _deserialize_pickle5_data( gpu_object_manager.fetch_gpu_object(object_id) tensors = gpu_object_manager.gpu_object_store.get_gpu_object(object_id) ctx.reset_out_of_band_tensors(tensors) - gpu_object_manager.gpu_object_store.remove_gpu_object(object_id) + gpu_object_store = gpu_object_manager.gpu_object_store + # If the GPU object is the primary copy, it means the transfer is intra-actor. + # In this case, we should not remove the GPU object after it is consumed once, + # because the GPU object reference may be used again. + # Instead, we should wait for the GC callback to clean it up. + if not gpu_object_store.is_primary_copy(object_id): + gpu_object_store.remove_gpu_object(object_id) try: in_band, buffers = unpack_pickle5_buffers(data) @@ -633,7 +639,9 @@ def serialize_and_store_gpu_objects( obj_id = obj_id.decode("ascii") worker = ray._private.worker.global_worker gpu_object_manager = worker.gpu_object_manager - gpu_object_manager.gpu_object_store.add_gpu_object(obj_id, tensors) + gpu_object_manager.gpu_object_store.add_gpu_object( + obj_id, tensors, is_primary=True + ) return serialized_val diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index e6dc6d867681..67dc1827684f 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Set import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum @@ -99,6 +99,8 @@ def __init__(self): # # Note: Currently, `gpu_object_store` is only supported for Ray Actors. self.gpu_object_store: Dict[str, List["torch.Tensor"]] = {} + # A set of object IDs that are the primary copy. + self.primary_gpu_object_ids: Set[str] = set() def has_gpu_object(self, obj_id: str) -> bool: return obj_id in self.gpu_object_store @@ -106,8 +108,37 @@ def has_gpu_object(self, obj_id: str) -> bool: def get_gpu_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: return self.gpu_object_store[obj_id] - def add_gpu_object(self, obj_id: str, gpu_object: List["torch.Tensor"]): + def add_gpu_object( + self, + obj_id: str, + gpu_object: List["torch.Tensor"], + is_primary: bool = False, + ): + """ + Add a GPU object to the GPU object store. + + Args: + obj_id: The object ID of the GPU object. + gpu_object: A list of tensors representing the GPU object. + is_primary: Whether the GPU object is the primary copy. + """ + if is_primary: + self.primary_gpu_object_ids.add(obj_id) self.gpu_object_store[obj_id] = gpu_object + def is_primary_copy(self, obj_id: str) -> bool: + return obj_id in self.primary_gpu_object_ids + def remove_gpu_object(self, obj_id: str): + """ + Remove the GPU object from the GPU object store. + + Args: + obj_id: The object ID of the GPU object. + """ + assert ( + obj_id in self.gpu_object_store + ), f"obj_id={obj_id} not found in GPU object store" del self.gpu_object_store[obj_id] + if obj_id in self.primary_gpu_object_ids: + self.primary_gpu_object_ids.remove(obj_id) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index b7c742117271..c7c5a97b17c1 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -125,6 +125,62 @@ def test_gc_del_ref_before_recv_finish(ray_start_regular, data_size_bytes): ) +def test_gc_intra_actor_gpu_object(ray_start_regular): + """ + This test checks that passes a GPU object ref to the same actor multiple times. + """ + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + small_tensor = torch.randn((1,)) + + ref = actor.echo.remote(small_tensor) + result = actor.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + result = actor.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + del ref + + wait_for_condition( + lambda: ray.get(actor.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + +def test_gc_pass_ref_to_same_and_different_actors(ray_start_regular): + """ + This test checks that passes a GPU object ref to the same actor and a different actor. + """ + actor1 = GPUTestActor.remote() + actor2 = GPUTestActor.remote() + create_collective_group([actor1, actor2], backend="torch_gloo") + + small_tensor = torch.randn((1,)) + + ref = actor1.echo.remote(small_tensor) + result1 = actor1.double.remote(ref) + result2 = actor2.double.remote(ref) + assert ray.get(result1) == pytest.approx(small_tensor * 2) + assert ray.get(result2) == pytest.approx(small_tensor * 2) + + wait_for_condition( + lambda: ray.get(actor2.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + del ref + + wait_for_condition( + lambda: ray.get(actor1.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + def test_p2p(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] From bbff36b115f9376675d6cb970344ea7ca40d1245 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 16 Jul 2025 17:42:11 -0700 Subject: [PATCH 0241/1566] [Data] node_trackers init file (#54665) ## Why are these changes needed? missing init, fixes https://buildkite.com/ray-project/release/builds/49019#019811e7-8b48-4c47-8a79-fbc5df95bf63 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/execution/node_trackers/__init__.py | 3 +++ .../_internal/execution/operators/actor_pool_map_operator.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 python/ray/data/_internal/execution/node_trackers/__init__.py diff --git a/python/ray/data/_internal/execution/node_trackers/__init__.py b/python/ray/data/_internal/execution/node_trackers/__init__.py new file mode 100644 index 000000000000..d33680756128 --- /dev/null +++ b/python/ray/data/_internal/execution/node_trackers/__init__.py @@ -0,0 +1,3 @@ +from .actor_location import ActorLocationTracker, get_or_create_actor_location_tracker + +__all__ = ["get_or_create_actor_location_tracker", "ActorLocationTracker"] diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 4e718fc88d98..d276c0e41eb6 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -26,7 +26,7 @@ TaskContext, ) from ray.data._internal.execution.interfaces.physical_operator import _ActorPoolInfo -from ray.data._internal.execution.node_trackers.actor_location import ( +from ray.data._internal.execution.node_trackers import ( ActorLocationTracker, get_or_create_actor_location_tracker, ) From c2f3a4574bdb87be953b6c2d95a7f2e6620d9130 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 16 Jul 2025 20:39:14 -0700 Subject: [PATCH 0242/1566] [train][tune] v1 CheckpointManager only stores scoring metric if env var set (#54642) When Ray Train v1 or Ray Tune users report metrics, we persist them in memory inside CheckpointManager, which can OOM. This change adds a new env variable, `TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE`, which makes it so CheckpointManager only saves the `checkpoint_score_attribute` metric in memory, reducing the memory footprint from O(checkpoints * metrics) to O(checkpoints). Note that when `TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE` is set, we still persist all the metrics to disk, but when we construct the Tune [ResultGrid](https://github.com/ray-project/ray/blob/master/python/ray/tune/result_grid.py#L269), it only contains the `checkpoint_score_attribute`. This is just a temporary solution to unblock users; we can implement a more robust solution, such as reading metrics from disk in a streaming fashion, in the future. --------- Signed-off-by: Timothy Seah Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- doc/source/tune/api/env.rst | 4 ++ .../ray/train/_internal/checkpoint_manager.py | 16 +++++- python/ray/train/constants.py | 11 ++++ .../train/tests/test_checkpoint_manager.py | 52 +++++++++++++++++++ 4 files changed, 82 insertions(+), 1 deletion(-) diff --git a/doc/source/tune/api/env.rst b/doc/source/tune/api/env.rst index 286fa4aeab97..513044fc1371 100644 --- a/doc/source/tune/api/env.rst +++ b/doc/source/tune/api/env.rst @@ -78,6 +78,10 @@ These are the environment variables Ray Tune currently considers: unsuccessful. After that, the trial is not restored to its previous checkpoint but rather from scratch. Default is ``0``. While this retry counter is taking effect, per trial failure number will not be incremented, which is compared against ``max_failures``. +* **TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE**: If set to ``1``, only the metric defined by ``checkpoint_score_attribute`` + will be stored with each ``Checkpoint``. As a result, ``Result.best_checkpoints`` will contain only this metric, + omitting others that would normally be included. This can significantly reduce memory usage, especially when many + checkpoints are stored or when metrics are large. Defaults to ``0`` (i.e., all metrics are stored). * **RAY_AIR_FULL_TRACEBACKS**: If set to 1, will print full tracebacks for training functions, including internal code paths. Otherwise, abbreviated tracebacks that only show user code are printed. Defaults to 0 (disabled). diff --git a/python/ray/train/_internal/checkpoint_manager.py b/python/ray/train/_internal/checkpoint_manager.py index 6a0eb5527524..845b146a012a 100644 --- a/python/ray/train/_internal/checkpoint_manager.py +++ b/python/ray/train/_internal/checkpoint_manager.py @@ -2,12 +2,14 @@ import numbers from typing import Any, Callable, List, Optional, Tuple +from ray._private import ray_constants from ray._private.dict import flatten_dict from ray.air._internal.util import is_nan from ray.air.config import MAX from ray.train import CheckpointConfig from ray.train._internal.session import _TrainingResult from ray.train._internal.storage import _delete_fs_path +from ray.train.constants import TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE logger = logging.getLogger(__name__) @@ -90,7 +92,19 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): """ self._latest_checkpoint_result = checkpoint_result - if self._checkpoint_config.checkpoint_score_attribute is not None: + score_attr = self._checkpoint_config.checkpoint_score_attribute + if ray_constants.env_bool(TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE, False): + metrics = ( + {score_attr: checkpoint_result.metrics[score_attr]} + if score_attr in checkpoint_result.metrics + else {} + ) + checkpoint_result = _TrainingResult( + checkpoint=checkpoint_result.checkpoint, + metrics=metrics, + ) + + if score_attr is not None and score_attr in checkpoint_result.metrics: # If we're ordering by a score, insert the checkpoint # so that the list remains sorted. _insert_into_sorted_list( diff --git a/python/ray/train/constants.py b/python/ray/train/constants.py index d444e2cf0461..d76965a10338 100644 --- a/python/ray/train/constants.py +++ b/python/ray/train/constants.py @@ -112,6 +112,16 @@ def _v2_migration_warnings_enabled() -> bool: # Defaults to 0 RAY_TRAIN_ENABLE_STATE_TRACKING = "RAY_TRAIN_ENABLE_STATE_TRACKING" +# Set this to 1 to only store the checkpoint score attribute with the Checkpoint +# in the CheckpointManager. The Result will only have the checkpoint score attribute +# but files written to disk like result.json will still have all the metrics. +# Defaults to 0. +# TODO: this is a temporary solution to avoid CheckpointManager OOM. +# See https://github.com/ray-project/ray/pull/54642#issue-3234029360 for more details. +TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE = ( + "TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE" +) + # NOTE: When adding a new environment variable, please track it in this list. TRAIN_ENV_VARS = { @@ -123,6 +133,7 @@ def _v2_migration_warnings_enabled() -> bool: RAY_CHDIR_TO_TRIAL_DIR, RAY_TRAIN_COUNT_PREEMPTION_AS_FAILURE, RAY_TRAIN_ENABLE_STATE_TRACKING, + TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE, } # Key for AIR Checkpoint metadata in TrainingResult metadata diff --git a/python/ray/train/tests/test_checkpoint_manager.py b/python/ray/train/tests/test_checkpoint_manager.py index 2675db74ac57..938ce1947f8a 100644 --- a/python/ray/train/tests/test_checkpoint_manager.py +++ b/python/ray/train/tests/test_checkpoint_manager.py @@ -6,6 +6,7 @@ from ray.train import Checkpoint, CheckpointConfig from ray.train._internal.checkpoint_manager import _CheckpointManager, _TrainingResult +from ray.train.constants import TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE @pytest.fixture @@ -181,6 +182,57 @@ def test_nested_get_checkpoint_score(metrics): assert manager._get_checkpoint_score(tracked_checkpoint) == (True, 5.0) +@pytest.mark.parametrize("has_score_attr", [True, False]) +def test_only_store_score_attr(has_score_attr, checkpoint_paths, monkeypatch): + monkeypatch.setenv(TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE, "1") + + # Set up CheckpointManager. + if has_score_attr: + checkpoint_config = CheckpointConfig( + num_to_keep=None, + checkpoint_score_attribute="score", + checkpoint_score_order="max", + ) + else: + checkpoint_config = CheckpointConfig(num_to_keep=None) + manager = _CheckpointManager(checkpoint_config=checkpoint_config) + + # Ensure we insert TrainingResults with score in the right order. + manager.register_checkpoint( + _TrainingResult( + checkpoint=Checkpoint.from_directory(checkpoint_paths[0]), + metrics={"score": 3.0}, + ) + ) + manager.register_checkpoint( + _TrainingResult( + checkpoint=Checkpoint.from_directory(checkpoint_paths[1]), + metrics={"score": 1.0, "another_unsaved_metric": 6.0}, + ) + ) + manager.register_checkpoint( + _TrainingResult( + checkpoint=Checkpoint.from_directory(checkpoint_paths[2]), + metrics={"another_unsaved_metric": 1.0}, + ) + ) + assert len(manager.best_checkpoint_results) == 3 + if has_score_attr: + assert manager.best_checkpoint_results[0].metrics == {"score": 1.0} + assert manager.best_checkpoint_results[0].checkpoint.path == checkpoint_paths[1] + assert manager.best_checkpoint_results[1].metrics == {"score": 3.0} + assert manager.best_checkpoint_results[1].checkpoint.path == checkpoint_paths[0] + assert manager.best_checkpoint_results[2].metrics == {} + assert manager.best_checkpoint_results[2].checkpoint.path == checkpoint_paths[2] + else: + assert manager.best_checkpoint_results[0].metrics == {} + assert manager.best_checkpoint_results[0].checkpoint.path == checkpoint_paths[0] + assert manager.best_checkpoint_results[1].metrics == {} + assert manager.best_checkpoint_results[1].checkpoint.path == checkpoint_paths[1] + assert manager.best_checkpoint_results[2].metrics == {} + assert manager.best_checkpoint_results[2].checkpoint.path == checkpoint_paths[2] + + if __name__ == "__main__": import sys From b0771a3614b8d384da36480aef04e5e3d78c1d5b Mon Sep 17 00:00:00 2001 From: Rueian Date: Wed, 16 Jul 2025 21:06:54 -0700 Subject: [PATCH 0243/1566] [doc] update links for KubeRay 1.4.2 (#54687) Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../examples/mobilenet-rayservice.md | 2 +- .../examples/rayjob-batch-inference-example.md | 4 ++-- .../kubernetes/examples/verl-post-training.md | 2 +- .../kuberay-operator-installation.md | 6 +++--- .../getting-started/raycluster-quick-start.md | 2 +- .../getting-started/rayjob-quick-start.md | 8 ++++---- .../getting-started/rayservice-quick-start.md | 6 +++--- .../kubernetes/k8s-ecosystem/ingress.md | 12 ++++++------ .../cluster/kubernetes/k8s-ecosystem/istio.md | 2 +- .../k8s-ecosystem/prometheus-grafana.md | 4 ++-- .../k8s-ecosystem/scheduler-plugins.md | 2 +- .../kubernetes/k8s-ecosystem/volcano.md | 6 +++--- .../kubernetes/k8s-ecosystem/yunikorn.md | 2 +- .../user-guides/configuring-autoscaling.md | 12 ++++++------ .../user-guides/gcp-gke-tpu-cluster.md | 4 ++-- .../kubernetes/user-guides/gke-gcs-bucket.md | 2 +- .../kubernetes/user-guides/helm-chart-rbac.md | 18 +++++++++--------- .../kubernetes/user-guides/kubectl-plugin.md | 10 +++++----- .../user-guides/kuberay-dashboard.md | 6 +++--- .../kubernetes/user-guides/kuberay-gcs-ft.md | 2 +- .../kubernetes/user-guides/rayservice.md | 4 ++-- .../cluster/kubernetes/user-guides/tls.md | 6 +++--- .../kubernetes/user-guides/upgrade-guide.md | 12 ++++++------ python/ray/autoscaler/kuberay/init-config.sh | 4 ++-- release/k8s_tests/run_gcs_ft_on_k8s.py | 2 +- 25 files changed, 70 insertions(+), 70 deletions(-) diff --git a/doc/source/cluster/kubernetes/examples/mobilenet-rayservice.md b/doc/source/cluster/kubernetes/examples/mobilenet-rayservice.md index 57fc4e3ad12e..5cce42b54278 100644 --- a/doc/source/cluster/kubernetes/examples/mobilenet-rayservice.md +++ b/doc/source/cluster/kubernetes/examples/mobilenet-rayservice.md @@ -19,7 +19,7 @@ Note that the YAML file in this example uses `serveConfigV2`. You need KubeRay v ```sh # Create a RayService -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-service.mobilenet.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-service.mobilenet.yaml ``` * The [mobilenet.py](https://github.com/ray-project/serve_config_examples/blob/master/mobilenet/mobilenet.py) file needs `tensorflow` as a dependency. Hence, the YAML file uses `rayproject/ray-ml` image instead of `rayproject/ray` image. diff --git a/doc/source/cluster/kubernetes/examples/rayjob-batch-inference-example.md b/doc/source/cluster/kubernetes/examples/rayjob-batch-inference-example.md index 424f304f0ac0..92f7f0cd52e4 100644 --- a/doc/source/cluster/kubernetes/examples/rayjob-batch-inference-example.md +++ b/doc/source/cluster/kubernetes/examples/rayjob-batch-inference-example.md @@ -37,12 +37,12 @@ The KubeRay operator Pod must be on the CPU node if you have set up the taint fo ## Step 2: Submit the RayJob -Create the RayJob custom resource with [ray-job.batch-inference.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-job.batch-inference.yaml). +Create the RayJob custom resource with [ray-job.batch-inference.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-job.batch-inference.yaml). Download the file with `curl`: ```bash -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-job.batch-inference.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.batch-inference.yaml ``` Note that the `RayJob` spec contains a spec for the `RayCluster`. This tutorial uses a single-node cluster with 4 GPUs. For production use cases, use a multi-node cluster where the head node doesn't have GPUs, so that Ray can automatically schedule GPU workloads on worker nodes which won't interfere with critical Ray processes on the head node. diff --git a/doc/source/cluster/kubernetes/examples/verl-post-training.md b/doc/source/cluster/kubernetes/examples/verl-post-training.md index 904bca364bef..ad8af3675224 100644 --- a/doc/source/cluster/kubernetes/examples/verl-post-training.md +++ b/doc/source/cluster/kubernetes/examples/verl-post-training.md @@ -108,7 +108,7 @@ Additionally, you can follow the next step to check the PPO job logs to see how ```sh # Port forward the Ray dashboard to your local machine's port 8265. -kubectl port-forward verl-cluster-head 8265:8265 +kubectl port-forward $HEAD_POD 8265:8265 ``` Open `127.0.0.1:8265` in your browser to view the Ray dashboard and check whether all GPUs are in use. diff --git a/doc/source/cluster/kubernetes/getting-started/kuberay-operator-installation.md b/doc/source/cluster/kubernetes/getting-started/kuberay-operator-installation.md index a897c2cfbc5f..1fe30cb3f48a 100644 --- a/doc/source/cluster/kubernetes/getting-started/kuberay-operator-installation.md +++ b/doc/source/cluster/kubernetes/getting-started/kuberay-operator-installation.md @@ -17,15 +17,15 @@ kind create cluster --image=kindest/node:v1.26.0 ```sh helm repo add kuberay https://ray-project.github.io/kuberay-helm/ helm repo update -# Install both CRDs and KubeRay operator v1.4.0. -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 +# Install both CRDs and KubeRay operator v1.4.2. +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 ``` ### Method 2: Kustomize ```sh # Install CRD and KubeRay operator. -kubectl create -k "github.com/ray-project/kuberay/ray-operator/config/default?ref=v1.4.0" +kubectl create -k "github.com/ray-project/kuberay/ray-operator/config/default?ref=v1.4.2" ``` ## Step 3: Validate Installation diff --git a/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md b/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md index a6e47b4d2e9d..34d3d88db71f 100644 --- a/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md +++ b/doc/source/cluster/kubernetes/getting-started/raycluster-quick-start.md @@ -28,7 +28,7 @@ Once the KubeRay operator is running, you're ready to deploy a RayCluster. Creat ```sh # Deploy a sample RayCluster CR from the KubeRay Helm chart repo: -helm install raycluster kuberay/ray-cluster --version 1.4.0 +helm install raycluster kuberay/ray-cluster --version 1.4.2 ``` diff --git a/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md b/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md index 946805094984..b7102c0852b4 100644 --- a/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md +++ b/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md @@ -87,7 +87,7 @@ Follow the [KubeRay Operator Installation](kuberay-operator-deploy) to install t ## Step 3: Install a RayJob ```sh -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-job.sample.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.sample.yaml ``` ## Step 4: Verify the Kubernetes cluster status @@ -154,13 +154,13 @@ The Python script `sample_code.py` used by `entrypoint` is a simple Ray script t ## Step 6: Delete the RayJob ```sh -kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-job.sample.yaml +kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.sample.yaml ``` ## Step 7: Create a RayJob with `shutdownAfterJobFinishes` set to true ```sh -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-job.shutdown.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.shutdown.yaml ``` The `ray-job.shutdown.yaml` defines a RayJob custom resource with `shutdownAfterJobFinishes: true` and `ttlSecondsAfterFinished: 10`. @@ -188,7 +188,7 @@ kubectl get raycluster ```sh # Step 10.1: Delete the RayJob -kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-job.shutdown.yaml +kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.shutdown.yaml # Step 10.2: Delete the KubeRay operator helm uninstall kuberay-operator diff --git a/doc/source/cluster/kubernetes/getting-started/rayservice-quick-start.md b/doc/source/cluster/kubernetes/getting-started/rayservice-quick-start.md index eb4ae250cc19..4b4bd621cbb2 100644 --- a/doc/source/cluster/kubernetes/getting-started/rayservice-quick-start.md +++ b/doc/source/cluster/kubernetes/getting-started/rayservice-quick-start.md @@ -3,7 +3,7 @@ ## Prerequisites -This guide mainly focuses on the behavior of KubeRay v1.4.0 and Ray 2.46.0. +This guide mainly focuses on the behavior of KubeRay v1.4.2 and Ray 2.46.0. ## What's a RayService? @@ -35,7 +35,7 @@ Note that the YAML file in this example uses `serveConfigV2` to specify a multi- ## Step 3: Install a RayService ```sh -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-service.sample.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-service.sample.yaml ``` ## Step 4: Verify the Kubernetes cluster status @@ -129,7 +129,7 @@ curl -X POST -H 'Content-Type: application/json' rayservice-sample-serve-svc:800 ```sh # Delete the RayService. -kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-service.sample.yaml +kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-service.sample.yaml # Uninstall the KubeRay operator. helm uninstall kuberay-operator diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md b/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md index c09de6b13176..ff60913bbab3 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md @@ -32,10 +32,10 @@ Three examples show how to use ingress to access your Ray cluster: # Step 1: Install KubeRay operator and CRD helm repo add kuberay https://ray-project.github.io/kuberay-helm/ helm repo update -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 # Step 2: Install a RayCluster -helm install raycluster kuberay/ray-cluster --version 1.4.0 +helm install raycluster kuberay/ray-cluster --version 1.4.2 # Step 3: Edit the `ray-operator/config/samples/ray-cluster-alb-ingress.yaml` # @@ -122,10 +122,10 @@ Now run the following commands: # Step 1: Install KubeRay operator and CRD helm repo add kuberay https://ray-project.github.io/kuberay-helm/ helm repo update -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 # Step 2: Install a RayCluster -helm install raycluster kuberay/ray-cluster --version 1.4.0 +helm install raycluster kuberay/ray-cluster --version 1.4.2 # Step 3: Edit ray-cluster-gclb-ingress.yaml to replace the service name with the name of the head service from the RayCluster. (Output of `kubectl get svc`) @@ -185,12 +185,12 @@ kubectl wait --namespace ingress-nginx \ # Step 3: Install KubeRay operator and CRD helm repo add kuberay https://ray-project.github.io/kuberay-helm/ helm repo update -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 # Step 4: Install RayCluster and create an ingress separately. # More information about change of setting was documented in https://github.com/ray-project/kuberay/pull/699 # and `ray-operator/config/samples/ray-cluster.separate-ingress.yaml` -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.separate-ingress.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.separate-ingress.yaml kubectl apply -f ray-cluster.separate-ingress.yaml # Step 5: Check the ingress created in Step 4. diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/istio.md b/doc/source/cluster/kubernetes/k8s-ecosystem/istio.md index d259ef1c280f..9fd04a111485 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/istio.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/istio.md @@ -66,7 +66,7 @@ In this mode, you _must_ disable the KubeRay init container injection by setting ```bash # Set ENABLE_INIT_CONTAINER_INJECTION=false on the KubeRay operator. -helm upgrade kuberay-operator kuberay/kuberay-operator --version 1.4.0 \ +helm upgrade kuberay-operator kuberay/kuberay-operator --version 1.4.2 \ --set env\[0\].name=ENABLE_INIT_CONTAINER_INJECTION \ --set-string env\[0\].value=false diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/prometheus-grafana.md b/doc/source/cluster/kubernetes/k8s-ecosystem/prometheus-grafana.md index d473a1852578..3c1f0b4e8c98 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/prometheus-grafana.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/prometheus-grafana.md @@ -56,7 +56,7 @@ kubectl get all -n prometheus-system * Set `metrics.serviceMonitor.enabled=true` when installing the KubeRay operator with Helm to create a ServiceMonitor that scrapes metrics exposed by the KubeRay operator's service. ```sh # Enable the ServiceMonitor and set the label `release: prometheus` to the ServiceMonitor so that Prometheus can discover it - helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 \ + helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 \ --set metrics.serviceMonitor.enabled=true \ --set metrics.serviceMonitor.selector.release=prometheus ``` @@ -104,7 +104,7 @@ curl localhost:8080 * `# HELP`: Describe the meaning of this metric. * `# TYPE`: See [this document](https://prometheus.io/docs/concepts/metric_types/) for more details. -* Three required environment variables are defined in [ray-cluster.embed-grafana.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.embed-grafana.yaml). See [Configuring and Managing Ray Dashboard](https://docs.ray.io/en/latest/cluster/configure-manage-dashboard.html) for more details about these environment variables. +* Three required environment variables are defined in [ray-cluster.embed-grafana.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.embed-grafana.yaml). See [Configuring and Managing Ray Dashboard](https://docs.ray.io/en/latest/cluster/configure-manage-dashboard.html) for more details about these environment variables. ```yaml env: - name: RAY_GRAFANA_IFRAME_HOST diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/scheduler-plugins.md b/doc/source/cluster/kubernetes/k8s-ecosystem/scheduler-plugins.md index ed59aa8c52de..419753e7b334 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/scheduler-plugins.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/scheduler-plugins.md @@ -29,7 +29,7 @@ You need to have the access to configure Kubernetes control plane to replace the KubeRay v1.4.0 and later versions support scheduler plugins. ```sh -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 --set batchScheduler.name=scheduler-plugins +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 --set batchScheduler.name=scheduler-plugins ``` ## Step 4: Deploy a RayCluster with gang scheduling diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/volcano.md b/doc/source/cluster/kubernetes/k8s-ecosystem/volcano.md index ec6a416367b1..8c2a7f1436f0 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/volcano.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/volcano.md @@ -35,7 +35,7 @@ batchScheduler: * Pass the `--set batchScheduler.name=volcano` flag when running on the command line: ```shell # Install the Helm chart with the --batch-scheduler=volcano flag -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 --set batchScheduler.name=volcano +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 --set batchScheduler.name=volcano ``` ### Step 4: Install a RayCluster with the Volcano scheduler @@ -45,7 +45,7 @@ The RayCluster custom resource must include the `ray.io/scheduler-name: volcano` ```shell # Path: kuberay/ray-operator/config/samples # Includes label `ray.io/scheduler-name: volcano` in the metadata.labels -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.volcano-scheduler.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.volcano-scheduler.yaml kubectl apply -f ray-cluster.volcano-scheduler.yaml # Check the RayCluster @@ -113,7 +113,7 @@ Next, create a RayCluster with a head node (1 CPU + 2Gi of RAM) and two workers ```shell # Path: kuberay/ray-operator/config/samples # Includes the `ray.io/scheduler-name: volcano` and `volcano.sh/queue-name: kuberay-test-queue` labels in the metadata.labels -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.volcano-scheduler-queue.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.volcano-scheduler-queue.yaml kubectl apply -f ray-cluster.volcano-scheduler-queue.yaml ``` diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md b/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md index be1465e5f61b..7ac3f69b75da 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md @@ -29,7 +29,7 @@ See [Get Started](https://yunikorn.apache.org/docs/) for Apache YuniKorn install When installing KubeRay operator using Helm, pass the `--set batchScheduler.name=yunikorn` flag at the command line: ```shell -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 --set batchScheduler.name=yunikorn +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 --set batchScheduler.name=yunikorn ``` ## Step 4: Use Apache YuniKorn for gang scheduling diff --git a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md index f6e9c71ed52a..1586124868a9 100644 --- a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md +++ b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md @@ -64,7 +64,7 @@ Follow [this document](kuberay-operator-deploy) to install the latest stable Kub ### Step 3: Create a RayCluster custom resource with autoscaling enabled ```bash -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler.yaml ``` ### Step 4: Verify the Kubernetes cluster status @@ -87,7 +87,7 @@ kubectl get configmaps ``` The RayCluster has one head Pod and zero worker Pods. The head Pod has two containers: a Ray head container and a Ray Autoscaler sidecar container. -Additionally, the [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler.yaml) includes a ConfigMap named `ray-example` that contains two Python scripts: `detached_actor.py` and `terminate_detached_actor.py`. +Additionally, the [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler.yaml) includes a ConfigMap named `ray-example` that contains two Python scripts: `detached_actor.py` and `terminate_detached_actor.py`. * `detached_actor.py` is a Python script that creates a detached actor which requires 1 CPU. ```py @@ -247,7 +247,7 @@ kubectl logs $HEAD_POD -c autoscaler | tail -n 20 ```bash # Delete RayCluster and ConfigMap -kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler.yaml +kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler.yaml # Uninstall the KubeRay operator helm uninstall kuberay-operator @@ -259,7 +259,7 @@ kind delete cluster (kuberay-autoscaling-config)= ## KubeRay Autoscaling Configurations -The [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler.yaml) used in the quickstart example contains detailed comments about the configuration options. +The [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler.yaml) used in the quickstart example contains detailed comments about the configuration options. ***It's recommended to read this section in conjunction with the YAML file.*** ### 1. Enabling autoscaling @@ -333,7 +333,7 @@ If you omit `rayStartParams` and want to use autoscaling, the autoscaling image The Ray Autoscaler reads the `rayStartParams` field or the Ray container's resource limits in the RayCluster custom resource specification to determine the Ray Pod's resource requirements. The information regarding the number of CPUs is essential for the Ray Autoscaler to scale the cluster. Therefore, without this information, the Ray Autoscaler reports an error and fails to start. -Take [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler.yaml) as an example below: +Take [ray-cluster.autoscaler.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler.yaml) as an example below: * If users set `num-cpus` in `rayStartParams`, Ray Autoscaler would work regardless of the resource limits on the container. * If users don't set `rayStartParams`, the Ray container must have a specified CPU resource limit. @@ -458,7 +458,7 @@ Node: 2d5fd3d4337ba5b5a8c3106c572492abb9a8de2dee9da7f6c24c1346 2. **Stability** Autoscaler V2 makes significant improvements to idle node handling. The V1 autoscaler could stop nodes that became active during termination processing, potentially failing tasks or actors. V2 uses Ray's graceful draining mechanism, which safely stops idle nodes without disrupting ongoing work. -[ray-cluster.autoscaler-v2.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.autoscaler-v2.yaml) is an example YAML file of a RayCluster with Autoscaler V2 enabled that works with the latest KubeRay version. +[ray-cluster.autoscaler-v2.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.autoscaler-v2.yaml) is an example YAML file of a RayCluster with Autoscaler V2 enabled that works with the latest KubeRay version. If you're using KubeRay >= 1.4.0, enable V2 by setting `RayCluster.spec.autoscalerOptions.version: v2`. diff --git a/doc/source/cluster/kubernetes/user-guides/gcp-gke-tpu-cluster.md b/doc/source/cluster/kubernetes/user-guides/gcp-gke-tpu-cluster.md index 25cde0f7311b..8c207eb03e3c 100644 --- a/doc/source/cluster/kubernetes/user-guides/gcp-gke-tpu-cluster.md +++ b/doc/source/cluster/kubernetes/user-guides/gcp-gke-tpu-cluster.md @@ -83,8 +83,8 @@ In a cluster without the Ray Operator Addon enabled, KubeRay can be manually ins ```sh helm repo add kuberay https://ray-project.github.io/kuberay-helm/ -# Install both CRDs and KubeRay operator v1.4.0. -helm install kuberay-operator kuberay/kuberay-operator --version 1.4.0 +# Install both CRDs and KubeRay operator v1.4.2. +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 ``` GKE provides a [validating and mutating webhook](https://github.com/ai-on-gke/kuberay-tpu-webhook) to handle TPU Pod scheduling and bootstrap certain environment variables used for [JAX](https://github.com/google/jax) initialization. The Ray TPU webhook requires a KubeRay operator version of at least v1.1.0. GKE automatically installs the Ray TPU webhook through the [Ray Operator Addon](https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/how-to/enable-ray-on-gke) with GKE versions 1.30.0-gke.1747000 or later. diff --git a/doc/source/cluster/kubernetes/user-guides/gke-gcs-bucket.md b/doc/source/cluster/kubernetes/user-guides/gke-gcs-bucket.md index 6a5d080e7bf1..0ba29670d20d 100644 --- a/doc/source/cluster/kubernetes/user-guides/gke-gcs-bucket.md +++ b/doc/source/cluster/kubernetes/user-guides/gke-gcs-bucket.md @@ -72,7 +72,7 @@ gsutil iam ch serviceAccount:my-iam-sa@my-project-id.iam.gserviceaccount.com:rol You can download the RayCluster YAML manifest for this tutorial with `curl` as follows: ```bash -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.gke-bucket.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.gke-bucket.yaml ``` The key parts are the following lines: diff --git a/doc/source/cluster/kubernetes/user-guides/helm-chart-rbac.md b/doc/source/cluster/kubernetes/user-guides/helm-chart-rbac.md index 38ac1edbd834..863278d095f1 100644 --- a/doc/source/cluster/kubernetes/user-guides/helm-chart-rbac.md +++ b/doc/source/cluster/kubernetes/user-guides/helm-chart-rbac.md @@ -69,9 +69,9 @@ kubectl get role #kuberay-operator-leader-election 2023-10-15T04:54:28Z # Install RayCluster in the `default`, `n1`, and `n2` namespaces. -helm install raycluster kuberay/ray-cluster --version 1.4.0 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n1 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n1 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n2 # You should create a RayCluster in these 3 namespaces. kubectl get raycluster -A @@ -117,9 +117,9 @@ kubectl get role --all-namespaces | grep kuberay #default kuberay-operator-leader-election 2023-10-15T05:18:03Z # Install RayCluster in the `default`, `n1`, and `n2` namespaces. -helm install raycluster kuberay/ray-cluster --version 1.4.0 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n1 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n1 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n2 # KubeRay only creates a RayCluster in the `default` namespace. kubectl get raycluster -A @@ -173,9 +173,9 @@ kubectl get role --all-namespaces | grep kuberay #n2 kuberay-operator 2023-10-15T05:34:27Z # Install RayCluster in the `default`, `n1`, and `n2` namespaces. -helm install raycluster kuberay/ray-cluster --version 1.4.0 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n1 -helm install raycluster kuberay/ray-cluster --version 1.4.0 -n n2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n1 +helm install raycluster kuberay/ray-cluster --version 1.4.2 -n n2 # KubeRay creates a RayCluster only in the `n1` and `n2` namespaces. kubectl get raycluster -A diff --git a/doc/source/cluster/kubernetes/user-guides/kubectl-plugin.md b/doc/source/cluster/kubernetes/user-guides/kubectl-plugin.md index 8bcd9bf6f6d3..5506c327ed0c 100644 --- a/doc/source/cluster/kubernetes/user-guides/kubectl-plugin.md +++ b/doc/source/cluster/kubernetes/user-guides/kubectl-plugin.md @@ -29,11 +29,11 @@ Try to use the same plugin and KubeRay versions. Go to the [releases page](https://github.com/ray-project/kuberay/releases) and download the binary for your platform. -For example, to install kubectl plugin version 1.4.0 on Linux amd64: +For example, to install kubectl plugin version 1.4.2 on Linux amd64: ```bash -curl -LO https://github.com/ray-project/kuberay/releases/download/v1.4.0/kubectl-ray_v1.4.0_linux_amd64.tar.gz -tar -xvf kubectl-ray_v1.4.0_linux_amd64.tar.gz +curl -LO https://github.com/ray-project/kuberay/releases/download/v1.4.2/kubectl-ray_v1.4.2_linux_amd64.tar.gz +tar -xvf kubectl-ray_v1.4.2_linux_amd64.tar.gz cp kubectl-ray ~/.local/bin ``` @@ -93,12 +93,12 @@ Created Ray Cluster: raycluster-sample-2 You can also override the default values with a config file. For example, the following config file sets the worker CPU to 3. ```text -$ curl -LO https://raw.githubusercontent.com/ray-project/kuberay/refs/tags/v1.4.0/kubectl-plugin/config/samples/create-cluster.sample.yaml +$ curl -LO https://raw.githubusercontent.com/ray-project/kuberay/refs/tags/v1.4.2/kubectl-plugin/config/samples/create-cluster.sample.yaml $ kubectl ray create cluster raycluster-sample-3 --file create-cluster.sample.yaml Created Ray Cluster: raycluster-sample-3 ``` -See https://github.com/ray-project/kuberay/blob/v1.4.0/kubectl-plugin/config/samples/create-cluster.complete.yaml for the complete list of parameters that you can set in the config file. +See https://github.com/ray-project/kuberay/blob/v1.4.2/kubectl-plugin/config/samples/create-cluster.complete.yaml for the complete list of parameters that you can set in the config file. By default it only creates one worker group. You can use `kubectl ray create workergroup` to add additional worker groups to existing RayClusters. diff --git a/doc/source/cluster/kubernetes/user-guides/kuberay-dashboard.md b/doc/source/cluster/kubernetes/user-guides/kuberay-dashboard.md index 42af44e6715f..cce52354f084 100644 --- a/doc/source/cluster/kubernetes/user-guides/kuberay-dashboard.md +++ b/doc/source/cluster/kubernetes/user-guides/kuberay-dashboard.md @@ -11,7 +11,7 @@ The KubeRay dashboard is a web-based UI that allows you to view and manage KubeR The KubeRay dashboard depends on the optional `kuberay-apiserver` that you need to install. For simplicity, this guide disables the security proxy and allows all origins for Cross-Origin Resource Sharing. ```bash -helm install kuberay-apiserver kuberay/kuberay-apiserver --version v1.4.0 --set security= --set cors.allowOrigin='*' +helm install kuberay-apiserver kuberay/kuberay-apiserver --version v1.4.2 --set security= --set cors.allowOrigin='*' ``` And you need to port-forward the `kuberay-apiserver` service because the dashboard currently sends requests to `http://localhost:31888`: @@ -23,7 +23,7 @@ kubectl port-forward svc/kuberay-apiserver-service 31888:8888 Install the KubeRay dashboard: ```bash -kubectl run kuberay-dashboard --image=quay.io/kuberay/dashboard:v1.4.0 +kubectl run kuberay-dashboard --image=quay.io/kuberay/dashboard:v1.4.2 ``` Port-forward the KubeRay dashboard: @@ -35,7 +35,7 @@ kubectl port-forward kuberay-dashboard 3000:3000 Go to `http://localhost:3000/ray/jobs` to see the list of Ray jobs. It's empty for now. You can create a RayJob custom resource to see how it works. ```bash -kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/refs/heads/v1.4.0/ray-operator/config/samples/ray-job.sample.yaml +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-job.sample.yaml ``` The KubeRay dashboard only shows RayJob custom resources that the KubeRay API server creates. This guide simulates the API server by labeling the RayJob. diff --git a/doc/source/cluster/kubernetes/user-guides/kuberay-gcs-ft.md b/doc/source/cluster/kubernetes/user-guides/kuberay-gcs-ft.md index ce049757d42d..7a4711a50dc6 100644 --- a/doc/source/cluster/kubernetes/user-guides/kuberay-gcs-ft.md +++ b/doc/source/cluster/kubernetes/user-guides/kuberay-gcs-ft.md @@ -49,7 +49,7 @@ Follow [this document](kuberay-operator-deploy) to install the latest stable Kub ### Step 3: Install a RayCluster with GCS FT enabled ```sh -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.external-redis.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.external-redis.yaml kubectl apply -f ray-cluster.external-redis.yaml ``` diff --git a/doc/source/cluster/kubernetes/user-guides/rayservice.md b/doc/source/cluster/kubernetes/user-guides/rayservice.md index 112635d023d3..08c39a865d28 100644 --- a/doc/source/cluster/kubernetes/user-guides/rayservice.md +++ b/doc/source/cluster/kubernetes/user-guides/rayservice.md @@ -35,7 +35,7 @@ Follow [this document](kuberay-operator-deploy) to install the latest stable Kub ## Step 3: Install a RayService ```sh -curl -O https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-service.sample.yaml +curl -O https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-service.sample.yaml kubectl apply -f ray-service.sample.yaml ``` @@ -200,7 +200,7 @@ curl -X POST -H 'Content-Type: application/json' rayservice-sample-serve-svc:800 You can update the configurations for the applications by modifying `serveConfigV2` in the RayService configuration file. Reapplying the modified configuration with `kubectl apply` reapplies the new configurations to the existing RayCluster instead of creating a new RayCluster. -Update the price of Mango from `3` to `4` for the fruit stand app in [ray-service.sample.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-service.sample.yaml). +Update the price of Mango from `3` to `4` for the fruit stand app in [ray-service.sample.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-service.sample.yaml). This change reconfigures the existing MangoStand deployment, and future requests are going to use the updated mango price. ```sh diff --git a/doc/source/cluster/kubernetes/user-guides/tls.md b/doc/source/cluster/kubernetes/user-guides/tls.md index cbd191465369..d74739ad9f37 100644 --- a/doc/source/cluster/kubernetes/user-guides/tls.md +++ b/doc/source/cluster/kubernetes/user-guides/tls.md @@ -40,7 +40,7 @@ your CA private key in a Kubernetes Secret in your production environment. # `ray-cluster.tls.yaml` will cover from Step 1 to Step 3 # Download `ray-cluster.tls.yaml` -curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.0/ray-operator/config/samples/ray-cluster.tls.yaml +curl -LO https://raw.githubusercontent.com/ray-project/kuberay/v1.4.2/ray-operator/config/samples/ray-cluster.tls.yaml # Create a RayCluster kubectl apply -f ray-cluster.tls.yaml @@ -88,11 +88,11 @@ kubectl create secret generic ca-tls --from-file=ca.key --from-file=ca.crt * `ca.crt`: CA's self-signed certificate This step is optional because the `ca.key` and `ca.crt` files have -already been included in the Kubernetes Secret specified in [ray-cluster.tls.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.tls.yaml). +already been included in the Kubernetes Secret specified in [ray-cluster.tls.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.tls.yaml). # Step 2: Create separate private key and self-signed certificate for Ray Pods -In [ray-cluster.tls.yaml](https://github.com/ray-project/kuberay/blob/v1.4.0/ray-operator/config/samples/ray-cluster.tls.yaml), each Ray +In [ray-cluster.tls.yaml](https://github.com/ray-project/kuberay/blob/v1.4.2/ray-operator/config/samples/ray-cluster.tls.yaml), each Ray Pod (both head and workers) generates its own private key file (`tls.key`) and self-signed certificate file (`tls.crt`) in its init container. We generate separate files for each Pod because worker Pods do not have deterministic DNS names, and we cannot use the same diff --git a/doc/source/cluster/kubernetes/user-guides/upgrade-guide.md b/doc/source/cluster/kubernetes/user-guides/upgrade-guide.md index f6cd943c3ab3..1a2a82a98cce 100644 --- a/doc/source/cluster/kubernetes/user-guides/upgrade-guide.md +++ b/doc/source/cluster/kubernetes/user-guides/upgrade-guide.md @@ -43,14 +43,14 @@ To upgrade the KubeRay version, follow these steps in order: The following is an example of upgrading KubeRay from v1.3.X to v1.4.0: ``` -# Upgrade the CRD to v1.4.0. +# Upgrade the CRD to v1.4.2. # Note: This example uses kubectl because Helm doesn't support lifecycle management of CRDs. # See the Helm documentation for more details: https://helm.sh/docs/chart_best_practices/custom_resource_definitions/#some-caveats-and-explanations -$ kubectl replace -k "github.com/ray-project/kuberay/ray-operator/config/crd?ref=v1.4.0" +$ kubectl replace -k "github.com/ray-project/kuberay/ray-operator/config/crd?ref=v1.4.2" -# Upgrade kuberay-operator to v1.4.0. This step doesn't upgrade the CRDs. -$ helm upgrade kuberay-operator kuberay/kuberay-operator --version v1.4.0 +# Upgrade kuberay-operator to v1.4.2. This step doesn't upgrade the CRDs. +$ helm upgrade kuberay-operator kuberay/kuberay-operator --version v1.4.2 -# Install a RayCluster using the v1.4.0 helm chart to verify the success of the upgrade. -$ helm install raycluster kuberay/ray-cluster --version 1.4.0 +# Install a RayCluster using the v1.4.2 helm chart to verify the success of the upgrade. +$ helm install raycluster kuberay/ray-cluster --version 1.4.2 ``` diff --git a/python/ray/autoscaler/kuberay/init-config.sh b/python/ray/autoscaler/kuberay/init-config.sh index a694e06af333..43d5dd1820dd 100755 --- a/python/ray/autoscaler/kuberay/init-config.sh +++ b/python/ray/autoscaler/kuberay/init-config.sh @@ -4,8 +4,8 @@ set -euo pipefail # Clone pinned KubeRay commit to temporary directory, copy the CRD definitions # into the autoscaler folder. -KUBERAY_BRANCH="v1.4.0" -OPERATOR_TAG="v1.4.0" +KUBERAY_BRANCH="v1.4.2" +OPERATOR_TAG="v1.4.2" # Requires Kustomize if ! command -v kustomize &> /dev/null diff --git a/release/k8s_tests/run_gcs_ft_on_k8s.py b/release/k8s_tests/run_gcs_ft_on_k8s.py index 0dfde0599436..e011ad38251c 100644 --- a/release/k8s_tests/run_gcs_ft_on_k8s.py +++ b/release/k8s_tests/run_gcs_ft_on_k8s.py @@ -51,7 +51,7 @@ def generate_cluster_variable(): def check_kuberay_installed(): # Make sure the ray namespace exists - KUBERAY_VERSION = "v1.4.0" + KUBERAY_VERSION = "v1.4.2" uri = ( "github.com/ray-project/kuberay/manifests" f"/base?ref={KUBERAY_VERSION}&timeout=90s" From 508b5a81588284ba68b6925f2e530a4a5a288422 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 16 Jul 2025 22:38:42 -0700 Subject: [PATCH 0244/1566] [java] move copy_pom_file rule up (#54692) so that the rules are defined moreorless in topological order. `copy_pom_file` is used laster in the BUILD file by `cp_java_generated`. purely moving the rule; no code change. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- java/BUILD.bazel | 58 ++++++++++++++++++++++++------------------------ 1 file changed, 29 insertions(+), 29 deletions(-) diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 3a26b1f60ed1..9ac5e9ca1484 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -268,6 +268,35 @@ filegroup( ], ) +genrule( + name = "copy_pom_file", + srcs = [ + "//java:io_ray_ray_" + module + "_pom" + for module in all_modules + ], + outs = ["copy_pom_file.out"], + cmd = """ + WORK_DIR="$$(pwd)" + cp -f $(location //java:io_ray_ray_api_pom) "$$WORK_DIR/java/api/pom.xml" + cp -f $(location //java:io_ray_ray_runtime_pom) "$$WORK_DIR/java/runtime/pom.xml" + cp -f $(location //java:io_ray_ray_test_pom) "$$WORK_DIR/java/test/pom.xml" + cp -f $(location //java:io_ray_ray_performance_test_pom) "$$WORK_DIR/java/performance_test/pom.xml" + cp -f $(location //java:io_ray_ray_serve_pom) "$$WORK_DIR/java/serve/pom.xml" + + FILES=( + $(location //java:io_ray_ray_api_pom) + $(location //java:io_ray_ray_runtime_pom) + $(location //java:io_ray_ray_test_pom) + $(location //java:io_ray_ray_performance_test_pom) + $(location //java:io_ray_ray_serve_pom) + ) + echo "# copy_pom_file" > $@ + if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$${FILES[@]}" > $@ ; else sha1sum "$${FILES[@]}" >> $@ ; fi + """, + local = 1, + tags = ["no-cache"], +) + # Generates the dependencies needed by maven. genrule( name = "cp_java_generated", @@ -327,35 +356,6 @@ genrule( tags = ["no-cache"], ) -genrule( - name = "copy_pom_file", - srcs = [ - "//java:io_ray_ray_" + module + "_pom" - for module in all_modules - ], - outs = ["copy_pom_file.out"], - cmd = """ - WORK_DIR="$$(pwd)" - cp -f $(location //java:io_ray_ray_api_pom) "$$WORK_DIR/java/api/pom.xml" - cp -f $(location //java:io_ray_ray_runtime_pom) "$$WORK_DIR/java/runtime/pom.xml" - cp -f $(location //java:io_ray_ray_test_pom) "$$WORK_DIR/java/test/pom.xml" - cp -f $(location //java:io_ray_ray_performance_test_pom) "$$WORK_DIR/java/performance_test/pom.xml" - cp -f $(location //java:io_ray_ray_serve_pom) "$$WORK_DIR/java/serve/pom.xml" - - FILES=( - $(location //java:io_ray_ray_api_pom) - $(location //java:io_ray_ray_runtime_pom) - $(location //java:io_ray_ray_test_pom) - $(location //java:io_ray_ray_performance_test_pom) - $(location //java:io_ray_ray_serve_pom) - ) - echo "# copy_pom_file" > $@ - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$${FILES[@]}" > $@ ; else sha1sum "$${FILES[@]}" >> $@ ; fi - """, - local = 1, - tags = ["no-cache"], -) - java_binary( name = "ray_dist", # This rule is used to package all Ray Java code and the third-party dependencies into a From eb383adb15d84372d8c932edd65a91b9668c98c7 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 16 Jul 2025 22:38:49 -0700 Subject: [PATCH 0245/1566] [cpp] explicitly add header files as bazel deps (#54686) also escapes bazel related files under cpp/example, so that they can be properly included in filegroups getting ready to change this local genrule to a run rule, so that ray wheel building steps can be hermetic and cacheable. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/msgpack.BUILD | 14 ++++++++++---- bazel/nlohmann_json.BUILD | 12 +++++++++--- cpp/BUILD.bazel | 21 +++++++++++++++++++++ cpp/example/{.bazelrc => _.bazelrc} | 0 cpp/example/{BUILD.bazel => _BUILD.bazel} | 0 cpp/example/{WORKSPACE => _WORKSPACE} | 0 6 files changed, 40 insertions(+), 7 deletions(-) rename cpp/example/{.bazelrc => _.bazelrc} (100%) rename cpp/example/{BUILD.bazel => _BUILD.bazel} (100%) rename cpp/example/{WORKSPACE => _WORKSPACE} (100%) diff --git a/bazel/msgpack.BUILD b/bazel/msgpack.BUILD index 9da2f75d00aa..7e5c4b31d5f7 100644 --- a/bazel/msgpack.BUILD +++ b/bazel/msgpack.BUILD @@ -1,11 +1,17 @@ +filegroup( + name = "msgpack_hdrs", + srcs = glob([ + "include/**/*.h", + "include/**/*.hpp", + ]), + visibility = ["//visibility:public"], +) + # This library is for internal use, because the library assumes a # different include prefix for itself than external libraries do. cc_library( name = "_msgpack", - hdrs = glob([ - "include/**/*.h", - "include/**/*.hpp", - ]), + hdrs = [":msgpack_hdrs"], strip_include_prefix = "include", ) diff --git a/bazel/nlohmann_json.BUILD b/bazel/nlohmann_json.BUILD index bf9307238aa5..6f0eb8c74547 100644 --- a/bazel/nlohmann_json.BUILD +++ b/bazel/nlohmann_json.BUILD @@ -1,8 +1,14 @@ -cc_library( - name = "nlohmann_json", - hdrs = glob([ +filegroup( + name = "nlohmann_json_hdrs", + srcs = glob([ "single_include/**/*.hpp", ]), + visibility = ["//visibility:public"], +) + +cc_library( + name = "nlohmann_json", + hdrs = [":nlohmann_json_hdrs"], includes = ["single_include"], visibility = ["//visibility:public"], alwayslink = 1, diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 0af4cb8173d2..fba2e4e99947 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -120,11 +120,29 @@ filegroup( visibility = ["//visibility:private"], ) +filegroup( + name = "ray_cpp_hdrs", + srcs = ["include/ray/api.h"] + glob([ + "include/ray/api/*.h", + ]), + visibility = ["//visibility:private"], +) + +filegroup( + name = "example_files", + srcs = glob(["example/**"]), + visibility = ["//visibility:private"], +) + genrule( name = "ray_cpp_pkg", srcs = [ + ":ray_cpp_hdrs", + ":example_files", "default_worker", "libray_api.so", + "@msgpack//:msgpack_hdrs", + "@nlohmann_json//:nlohmann_json_hdrs", ], outs = ["ray_cpp_pkg.out"], cmd = """ @@ -166,6 +184,9 @@ genrule( cp -f $(locations libray_api.so) "$$PY_CPP_DIR/lib/" && cp -f -r "$$WORK_DIR/cpp/include/ray" "$$PY_CPP_DIR/include" && cp -f -r "$$WORK_DIR/cpp/example" "$$PY_CPP_DIR" && + mv "$$PY_CPP_DIR/example/_WORKSPACE" "$$PY_CPP_DIR/example/WORKSPACE" && + mv "$$PY_CPP_DIR/example/_BUILD.bazel" "$$PY_CPP_DIR/example/BUILD.bazel" && + mv "$$PY_CPP_DIR/example/_.bazelrc" "$$PY_CPP_DIR/example/.bazelrc" && echo "$$WORK_DIR" > $@ """, local = 1, diff --git a/cpp/example/.bazelrc b/cpp/example/_.bazelrc similarity index 100% rename from cpp/example/.bazelrc rename to cpp/example/_.bazelrc diff --git a/cpp/example/BUILD.bazel b/cpp/example/_BUILD.bazel similarity index 100% rename from cpp/example/BUILD.bazel rename to cpp/example/_BUILD.bazel diff --git a/cpp/example/WORKSPACE b/cpp/example/_WORKSPACE similarity index 100% rename from cpp/example/WORKSPACE rename to cpp/example/_WORKSPACE From 5b4e9393e6806c98fb27482052999c2432a98d97 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 16 Jul 2025 22:50:29 -0700 Subject: [PATCH 0246/1566] [Data] Prefetch data for `PandasJSONDatasource` (#54667) ## Why are these changes needed? `PandasJSONDatasource` reads a file twice: once to sample a row and infer the numbers of rows to read per batch, and again to actually load the data. To reset the file after sampling, the datasource opens the file as a random-access file. The issue is that PyArrow's random-access file doesn't prefetch enough data, which leads to many costly small requests and poor performance. To mitigate this issue, this PR wraps the file in `io.BufferedReader` and prefetches more data. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../_internal/datasource/json_datasource.py | 71 ++++++++++++++++--- 1 file changed, 60 insertions(+), 11 deletions(-) diff --git a/python/ray/data/_internal/datasource/json_datasource.py b/python/ray/data/_internal/datasource/json_datasource.py index 6dd65c7c5130..223e6c234523 100644 --- a/python/ray/data/_internal/datasource/json_datasource.py +++ b/python/ray/data/_internal/datasource/json_datasource.py @@ -1,5 +1,5 @@ +import io import logging -from io import BytesIO from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union import pandas as pd @@ -82,7 +82,7 @@ def _read_with_pyarrow_read_json(self, buffer: "pyarrow.lib.Buffer"): while True: try: yield pajson.read_json( - BytesIO(buffer), + io.BytesIO(buffer), read_options=self.read_options, **self.arrow_json_args, ) @@ -124,7 +124,7 @@ def _read_with_python_json(self, buffer: "pyarrow.lib.Buffer"): if buffer.size == 0: return - parsed_json = json.load(BytesIO(buffer)) + parsed_json = json.load(io.BytesIO(buffer)) try: yield pa.Table.from_pylist(parsed_json) except AttributeError as e: @@ -159,6 +159,15 @@ def _read_stream(self, f: "pyarrow.NativeFile", path: str): class PandasJSONDatasource(FileBasedDatasource): + + # Buffer size in bytes for reading files. Default is 1MB. + # + # pandas reads data in small chunks (~8 KiB), which leads to many costly + # small read requests when accessing cloud storage. To reduce overhead and + # improve performance, we wrap the file in a larger buffered reader that + # reads bigger blocks at once. + _BUFFER_SIZE = 1024**2 + def __init__( self, paths: Union[str, List[str]], @@ -171,22 +180,31 @@ def __init__( def _read_stream(self, f: "pyarrow.NativeFile", path: str): chunksize = self._estimate_chunksize(f) - with pd.read_json(f, chunksize=chunksize, lines=True) as reader: + stream = StrictBufferedReader(f, buffer_size=self._BUFFER_SIZE) + with pd.read_json(stream, chunksize=chunksize, lines=True) as reader: for df in reader: yield _cast_range_index_to_string(df) def _estimate_chunksize(self, f: "pyarrow.NativeFile") -> int: + """Estimate the chunksize by sampling the first row. + + This is necessary to avoid OOMs while reading the file. + """ assert f.tell() == 0, "File pointer must be at the beginning" - with pd.read_json(f, chunksize=1, lines=True) as reader: - df = _cast_range_index_to_string(next(reader)) + stream = StrictBufferedReader(f, buffer_size=self._BUFFER_SIZE) + with pd.read_json(stream, chunksize=1, lines=True) as reader: + try: + df = _cast_range_index_to_string(next(reader)) + except StopIteration: + return 1 block_accessor = PandasBlockAccessor.for_block(df) if block_accessor.num_rows() == 0: - return 1 - - bytes_per_row = block_accessor.size_bytes() / block_accessor.num_rows() - chunksize = max(round(self._target_output_size_bytes / bytes_per_row), 1) + chunksize = 1 + else: + bytes_per_row = block_accessor.size_bytes() / block_accessor.num_rows() + chunksize = max(round(self._target_output_size_bytes / bytes_per_row), 1) # Reset file pointer to the beginning. f.seek(0) @@ -199,7 +217,7 @@ def _open_input_source( path: str, **open_args, ) -> "pyarrow.NativeFile": - # Use seekable file to ensure we can correctly sample the first row. + # Use seekable file so we can reset the file after sampling the first row. file = filesystem.open_input_file(path, **open_args) assert file.seekable(), "File must be seekable" return file @@ -211,3 +229,34 @@ def _cast_range_index_to_string(df: pd.DataFrame): if isinstance(df.columns, pd.RangeIndex): df.columns = df.columns.astype(str) return df + + +class StrictBufferedReader(io.RawIOBase): + """Wrapper that prevents premature file closure and ensures full-buffered reads. + + This is necessary for two reasons: + 1. The datasource reads the file twice -- first to sample and determine the chunk size, + and again to load the actual data. Since pandas assumes ownership of the file and + may close it, we prevent that by explicitly detaching the underlying file before + closing the buffer. + + 2. pandas wraps the file in a TextIOWrapper to decode bytes into text. TextIOWrapper + prefers calling read1(), which doesn't prefetch for random-access files + (e.g., from PyArrow). This wrapper forces all reads through the full buffer to + avoid inefficient small-range S3 GETs. + """ + + def __init__(self, file: io.RawIOBase, buffer_size: int): + self._file = io.BufferedReader(file, buffer_size=buffer_size) + + def read(self, size=-1, /): + return self._file.read(size) + + def readable(self) -> bool: + return True + + def close(self): + if not self.closed: + self._file.detach() + self._file.close() + super().close() From a4fae5210b332c3652001b63fe68f9125d4e14b8 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Thu, 17 Jul 2025 10:40:06 +0200 Subject: [PATCH 0247/1566] [RLlib] Fix `TorchMultiCategorical.to_deterministic` when having different number of categories and logits with time dimension. (#54414) ## Why are these changes needed? Right now conversion of `TorchMultiCategorical` to `TorchDeterministic` fails, if - logits have a time dimension and - different number of categories are used. This is due to the use of `torch.Tensor.t()` which works only when 2-dimensional tensors are used. This method is used when padding tensors that come from partial distributions with different number of categories. This PR fixes this issue by padding via `torch.nn.funcitonal.pad` instead of `torch.nn.utils.rnn.pad_sequence`. ## Related issue number Closes #54409 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 Signed-off-by: Douglas Strodtman --- rllib/models/tests/test_distributions.py | 50 +++++++++++++++++++++++ rllib/models/torch/torch_distributions.py | 44 ++++++++++++++++---- 2 files changed, 86 insertions(+), 8 deletions(-) diff --git a/rllib/models/tests/test_distributions.py b/rllib/models/tests/test_distributions.py index fe328bc9dd9d..fee6edf9ccce 100644 --- a/rllib/models/tests/test_distributions.py +++ b/rllib/models/tests/test_distributions.py @@ -7,6 +7,7 @@ TorchCategorical, TorchDiagGaussian, TorchDeterministic, + TorchMultiCategorical, ) from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import ( @@ -129,6 +130,55 @@ def test_categorical(self): expected = (probs * (probs / probs2).log()).sum(dim=-1) check(dist_with_probs.kl(dist2), expected) + def test_multi_categorical_with_different_categories(self): + # MLP networks. + batch_size = 128 + ndims = [4, 8] + + logits_1 = torch.from_numpy(np.random.randn(batch_size, ndims[0])) + logits_2 = torch.from_numpy(np.random.randn(batch_size, ndims[1])) + + dist = TorchMultiCategorical( + [ + TorchCategorical.from_logits(logits_1), + TorchCategorical.from_logits(logits_2), + ] + ) + + sample = dist.sample() + + self.assertEqual(sample.shape, (batch_size, len(ndims))) + self.assertEqual(sample.dtype, torch.int64) + # Convert to a deterministic distribution. + det_dist = dist.to_deterministic() + det_sample = det_dist.sample() + + self.assertEqual(det_sample.shape, (batch_size, len(ndims))) + self.assertEqual(det_sample.dtype, torch.int64) + + # LSTM networks. + seq_lens = 1 + logits_1 = torch.from_numpy(np.random.randn(batch_size, seq_lens, ndims[0])) + logits_2 = torch.from_numpy(np.random.randn(batch_size, seq_lens, ndims[1])) + + dist = TorchMultiCategorical( + [ + TorchCategorical.from_logits(logits_1), + TorchCategorical.from_logits(logits_2), + ] + ) + + sample = dist.sample() + + self.assertEqual(sample.shape, (batch_size, seq_lens, len(ndims))) + self.assertEqual(sample.dtype, torch.int64) + # Convert to a deterministic distribution. + det_dist = dist.to_deterministic() + det_sample = det_dist.sample() + + self.assertEqual(det_sample.shape, (batch_size, seq_lens, len(ndims))) + self.assertEqual(det_sample.dtype, torch.int64) + def test_diag_gaussian(self): batch_size = 128 ndim = 4 diff --git a/rllib/models/torch/torch_distributions.py b/rllib/models/torch/torch_distributions.py index 17f2c2ffebf6..c1c3af2675ac 100644 --- a/rllib/models/torch/torch_distributions.py +++ b/rllib/models/torch/torch_distributions.py @@ -505,16 +505,44 @@ def from_logits( return cls(categoricals=categoricals) def to_deterministic(self) -> "TorchDeterministic": - if self._cats[0].probs is not None: - probs_or_logits = nn.utils.rnn.pad_sequence( - [cat.logits.t() for cat in self._cats], padding_value=-torch.inf - ) + """Converts `TorchMultiCategorical` into `TorchDeterministic`.""" + logits_list = [cat.logits for cat in self._cats] + # Check, if the module is recurrent. + is_recurrent = logits_list[0].dim() == 3 # (B, T, K_i) + + # Determine max number of categories across all categorical distributions + max_K = max(logits.shape[-1] for logits in logits_list) + + padded_logits = [] + for logits in logits_list: + # Pad last dimension (category dim) to max_K + pad_width = max_K - logits.shape[-1] + # If the distributions have different number of categories, pad. + if pad_width > 0: + # Pad only last dimension + pad_dims = (0, pad_width) + logits = nn.functional.pad(logits, pad_dims, value=-float("inf")) + padded_logits.append(logits) + + # Stack along new dim=0 (categorical dimension). + # Shape: (num_components, B, T, max_K) or (num_components, B, max_K) + stacked = torch.stack(padded_logits, dim=0) + + # Move categorical dim (0) to last if needed, and take argmax. + if is_recurrent: + # Current shape is (num_components, B, T, K) and we want to have + # (B, T, num_components) via argmax over last dimension. So take + # argmax over last dim (K), then permute. + argmax = torch.argmax(stacked, dim=-1) # shape: (num_components, B, T) + loc = argmax.permute(1, 2, 0) # (B, T, num_components) else: - probs_or_logits = nn.utils.rnn.pad_sequence( - [cat.logits.t() for cat in self._cats], padding_value=-torch.inf - ) + # stacked: (num_components, B, K) + # → argmax over last dim (K), shape: (num_components, B) + # → transpose to (B, num_components) + argmax = torch.argmax(stacked, dim=-1) # (num_components, B) + loc = argmax.transpose(0, 1) # (B, num_components) - return TorchDeterministic(loc=torch.argmax(probs_or_logits, dim=0)) + return TorchDeterministic(loc=loc) @DeveloperAPI From f6243bd6d7f84132d983466bcb88709553069504 Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Thu, 17 Jul 2025 08:05:16 -0700 Subject: [PATCH 0248/1566] Fix MCP example name + sidebar navigation (#54636) Signed-off-by: Douglas Strodtman --- .../config/vocabularies/General/accept.txt | 3 + ...cp_stdio_docker_image_with_ray_serve.ipynb | 8 ++- ...p_stdio_docker_images_with_ray_serve.ipynb | 10 +++- .../examples/mcp-ray-serve/README.ipynb | 56 ++++++++---------- .../examples/mcp-ray-serve/README.md | 58 +++++++++---------- 5 files changed, 73 insertions(+), 62 deletions(-) diff --git a/.vale/styles/config/vocabularies/General/accept.txt b/.vale/styles/config/vocabularies/General/accept.txt index 1b629505f9e7..b962f7d5d840 100644 --- a/.vale/styles/config/vocabularies/General/accept.txt +++ b/.vale/styles/config/vocabularies/General/accept.txt @@ -60,6 +60,7 @@ Kubernetes Kueue LMs LSH +MCP Megatron MLflow MLOps @@ -70,6 +71,7 @@ NumPy OOM open-source pipelining +Podman NVIDIA pretraining productionize @@ -83,6 +85,7 @@ SageMaker serverless SFT ShareGPT +streamable Softmax teardown deserialization diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb index c560e89ab288..42c1140dc7e7 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/03 Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb @@ -22,7 +22,13 @@ "\n", "* **Cloud-native scalability**: Deploy behind load balancers, autoscale horizontally, and integrate with service meshes or API gateways as you would with any other HTTP microservice.\n", "\n", - "By translating stdio-mode MCP servers into HTTP endpoints with Ray Serve, you gain the flexibility and reliability needed for production-grade deployments—without touching your existing codebase.\n", + "By translating stdio-mode MCP servers into HTTP endpoints with Ray Serve, you gain the flexibility and reliability needed for production-grade deployments—without touching your existing codebase. The following architecture diagram illustrates deploying a MCP Docker image with Ray Serve:\n", + "\n", + "\n", "\n", "\n", "## Benefits of Ray Serve deployment on Anyscale\n", diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb index 07751535090d..5172f3c5ea7f 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb @@ -10,7 +10,15 @@ "\n", "Combined with Anyscale, this setup allows you to run production-grade services with minimal overhead, auto-provision compute as needed, and deploy updates without downtime. Whether you're scaling up a single model or routing across many, this pattern provides a clean, extensible path to deployment.\n", "\n", - "It’s also very easy to add more MCP services—just call build_mcp_deployment for each new service and bind it in the router." + "It’s also very easy to add more MCP services—just call build_mcp_deployment for each new service and bind it in the router.\n", + "\n", + "The following architecture diagram illustrates deploying multiple MCP Docker images with Ray Serve:\n", + "\n", + "" ] }, { diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb index c72298e00a4a..99c59a8028be 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb @@ -5,50 +5,50 @@ "id": "e3a1b273", "metadata": {}, "source": [ - "# Deploy custom Model Control Planes (MCP) servers\n", + "# Deploy custom MCP servers with Ray Serve and Anyscale Services\n", "\n", "
    \n", " \n", " \n", "
    \n", "\n", - "This tutorial demonstrates how to build and deploy **custom Model Control Plane (MCP)** servers using Ray Serve in both **HTTP streaming** and **stdio** modes. MCP enables scalable, dynamic, and multi-tenant model serving by decoupling model routing from application logic.\n", + "This repository provides end-to-end examples for deploying and scaling Model Context Protocol (MCP) servers using Ray Serve and Anyscale Service, covering both streamable HTTP and stdio transport types:\n", "\n", - "- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploy a single MCP server in **HTTP streaming mode**, using Ray Serve and FastAPI.\n", - "- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Route traffic to existing Ray Serve applications through an MCP gateway.\n", - "- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Deploy an MCP Server with standard input/output stream as a scalable HTTP service managed by Ray Serve.\n", - "- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Run multiple MCP servers using a shared deployment.\n", - "- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Guide to building and customizing a Docker image for a standalone MCP server.\n", + "- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploys a custom Weather MCP server in streamable HTTP mode behind FastAPI + Ray Serve, illustrating autoscaling, load‑balancing, and end‑to‑end testing on Anyscale.\n", + "- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Shows how to stand up a single MCP gateway that multiplexes requests to multiple pre‑existing Ray Serve apps under one unified `/mcp` endpoint, requiring no code changes in the underlying services.\n", + "- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Wraps a stdio‑only MCP Docker image, for example Brave Search, with Ray Serve so it exposes `/tools` and `/call` HTTP endpoints and scales horizontally without rebuilding the image. \n", + "- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Extends the previous pattern to run several stdio‑based MCP images side‑by‑side, using fractional‑CPU deployments and a router to direct traffic to the right service. \n", + "- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Builds and pushes a lightweight Podman‑based Docker image for a Weather MCP server with uv in an Anyscale workspace.\n", + "\n", + "## Why Ray Serve for MCP\n", + "- **Autoscaling:** Dynamically adjusts replica count to match traffic peaks and maintain responsiveness\n", + "- **Load balancing:** Intelligently distributes incoming requests across all replicas for steady throughput\n", + "- **Observability:** Exposes real‑time metrics on request rates, resource usage & system health\n", + "- **Fault tolerance:** Detects failures, restarts components, and reroutes traffic to healthy replicas for continuous availability\n", + "- **Composition:** Chains deployments—pre‑process, infer, post‑process, and custom logic—into a single seamless pipeline\n", + "\n", + "\n", + "## Anyscale service benefits\n", + "- **Production ready:** Enterprise‑grade infrastructure management and automated deployments for real‑world MCP traffic\n", + "- **[High availability](https://docs.anyscale.com/platform/services/faq#does-services-support-multiple-availability-zones-for-high-availability):** Availability‑Zone‑aware scheduling and zero‑downtime rolling updates to maximize uptime\n", + "- **[Logging](https://docs.anyscale.com/monitoring/accessing-logs) and [tracing](https://docs.anyscale.com/monitoring/tracing):** Comprehensive logs, distributed tracing, and real‑time dashboards for end‑to‑end observability\n", + "- **[Head node fault tolerance](https://docs.anyscale.com/platform/services/head-node-ft/):** Managed head‑node redundancy to eliminate single points of failure in your Ray cluster coordination layer\n", "\n", "\n", "## Prerequisites\n", "\n", "- Ray Serve, which is included in the base Docker image\n", "- Podman, to deploy MCP tools with existing Docker images for notebooks 3 through 5 \n", - "- A Brave API key set in your environment (`BRAVE_API_KEY`)\n", - "- an MCP Python library\n", - "\n", - "### Setting the API key\n", - "\n", - "Before running notebooks 3 and 4, you must set your Brave API key:\n", - "```bash\n", - "export BRAVE_API_KEY=your-api-key\n", - "```\n", + "- A Brave API key set in your environment (`BRAVE_API_KEY`) for notebooks 3 and 4\n", + "- MCP Python library\n", "\n", "## Development\n", "\n", "You can run this example on your own Ray cluster or on [Anyscale workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—like working on a laptop. Workspaces come with:\n", "- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the tools you're familiar with combined with the power of Anyscale's compute.\n", "- **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster.\n", - "\n", - "```bash\n", - "pip install -q \"ray[serve]\" \"fastapi\" \"httpx\" \"uvicorn\" \"aiohttp\" \"tqdm\"\n", - "```\n", - "\n", - "* **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience.\n", - "\n", - " * Under the hood, a cluster spins up and is efficiently managed by Anyscale.\n", - "* **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience.\n", + "- **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience.\n", + "- **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience.\n", "\n", "Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/).\n", "\n", @@ -73,12 +73,6 @@ "05 (Optional) Build_docker_image_for_mcp_server.ipynb\n", "```\n" ] - }, - { - "cell_type": "markdown", - "id": "6e8c980f", - "metadata": {}, - "source": [] } ], "metadata": { diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.md b/doc/source/ray-overview/examples/mcp-ray-serve/README.md index a5c2fe606e98..dddcfc43b689 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/README.md +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.md @@ -1,47 +1,47 @@ -# Deploying Custom Model Control Planes (MCP) with Ray Serve +# Deploy custom MCP servers with Ray Serve and Anyscale Services
       
    -This tutorial demonstrates how to build and deploy **custom Model Control Plane (MCP)** servers using Ray Serve in both **HTTP streaming** and **stdio** modes. MCP enables scalable, dynamic, and multi-tenant model serving by decoupling model routing from application logic. +This repository provides end-to-end examples for deploying and scaling Model Context Protocol (MCP) servers using Ray Serve and Anyscale Service, covering both streamable HTTP and stdio transport types: -- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploy a single MCP server in **HTTP streaming mode**, using Ray Serve and FastAPI. -- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Route traffic to existing Ray Serve applications through an MCP gateway. -- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Deploy an MCP Server with standard input/output stream as a scalable HTTP service managed by Ray Serve. -- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Run multiple MCP servers using a shared service. -- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Guide to building and customizing a Docker image for a standalone MCP server. +- [**`01-Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/01%20Deploy_custom_mcp_in_streamable_http_with_ray_serve.ipynb): Deploys a custom Weather MCP server in streamable HTTP mode behind FastAPI + Ray Serve, illustrating autoscaling, load‑balancing, and end‑to‑end testing on Anyscale. +- [**`02-Build_mcp_gateway_with_existing_ray_serve_apps.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/02%20Build_mcp_gateway_with_existing_ray_serve_apps.ipynb): Shows how to stand up a single MCP gateway that multiplexes requests to multiple pre‑existing Ray Serve apps under one unified `/mcp` endpoint, requiring no code changes in the underlying services. +- [**`03-Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/03%20Deploy_single_mcp_stdio_docker_image_with_ray_serve.ipynb): Wraps a stdio‑only MCP Docker image, for example Brave Search, with Ray Serve so it exposes `/tools` and `/call` HTTP endpoints and scales horizontally without rebuilding the image. +- [**`04-Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/04%20Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb): Extends the previous pattern to run several stdio‑based MCP images side‑by‑side, using fractional‑CPU deployments and a router to direct traffic to the right service. +- [**`05-(Optional)_Build_docker_image_for_mcp_server.ipynb`**](https://github.com/ray-project/ray/blob/master/doc/source/ray-overview/examples/mcp-ray-serve/05%20(Optional)%20Build_docker_image_for_mcp_server.ipynb): Builds and pushes a lightweight Podman‑based Docker image for a Weather MCP server with uv in an Anyscale workspace. +## Why Ray Serve for MCP +- **Autoscaling:** Dynamically adjusts replica count to match traffic peaks and maintain responsiveness +- **Load balancing:** Intelligently distributes incoming requests across all replicas for steady throughput +- **Observability:** Exposes real‑time metrics on request rates, resource usage & system health +- **Fault tolerance:** Detects failures, restarts components, and reroutes traffic to healthy replicas for continuous availability +- **Composition:** Chains deployments—pre‑process, infer, post‑process, and custom logic—into a single seamless pipeline -## Prerequisites -- Ray [Serve], already included in the base Docker image -- Podman (notebooks 3-5 - to deploy MCP tools with existing docker images) -- A Brave API key set in your environment (`BRAVE_API_KEY`) -- MCP Python library +## Anyscale service benefits +- **Production ready:** Enterprise‑grade infrastructure management and automated deployments for real‑world MCP traffic +- **[High availability](https://docs.anyscale.com/platform/services/faq#does-services-support-multiple-availability-zones-for-high-availability):** Availability‑Zone‑aware scheduling and zero‑downtime rolling updates to maximize uptime +- **[Logging](https://docs.anyscale.com/monitoring/accessing-logs) and [tracing](https://docs.anyscale.com/monitoring/tracing):** Comprehensive logs, distributed tracing, and real‑time dashboards for end‑to‑end observability +- **[Head node fault tolerance](https://docs.anyscale.com/platform/services/head-node-ft/):** Managed head‑node redundancy to eliminate single points of failure in your Ray cluster coordination layer -### Setting the API key -Before running notebook 3 and 4, you must set your Brave API key: -```bash -export BRAVE_API_KEY=your-api-key -``` +## Prerequisites + +- Ray Serve, which is included in the base Docker image +- Podman, to deploy MCP tools with existing Docker images for notebooks 3 through 5 +- A Brave API key set in your environment (`BRAVE_API_KEY`) for notebooks 3 and 4 +- MCP Python library ## Development -The application is developed on [Anyscale Workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—just like working on a laptop. Workspaces come with: -- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the same tools you love but with the power of Anyscale's compute. +You can run this example on your own Ray cluster or on [Anyscale workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—like working on a laptop. Workspaces come with: +- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the tools you're familiar with combined with the power of Anyscale's compute. - **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster. - -```bash -pip install -q "ray[serve]" "fastapi" "httpx" "uvicorn" "aiohttp" "tqdm" -``` - -* **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience. - - * Under the hood, a cluster spins up and is efficiently managed by Anyscale. -* **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience. +- **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience. +- **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience. Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/). @@ -54,7 +54,7 @@ Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anysca ## No infrastructure headaches Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard). -Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). +If you're running on a Kubernetes cloud (EKS, GKE, etc.), you can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). ```{toctree} :hidden: From 518af084d4f4bc1df71e539d1cc5c29a2184b810 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 17 Jul 2025 10:36:56 -0700 Subject: [PATCH 0249/1566] deflake test metrics 2 (#54697) fixes https://anyscale1.atlassian.net/browse/SERVE-959 more context there Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index abe86df27558..a5c4a6dd4c09 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -191,6 +191,7 @@ py_test_module_list( # Run serially on Windows. py_test_module_list( size = "medium", + timeout = "long", files = [ "test_deploy_app.py", "test_deploy_app_2.py", From 157a48b6fe782ebefcc39f0ef524d2e0a2ecf1f4 Mon Sep 17 00:00:00 2001 From: Praveen Date: Thu, 17 Jul 2025 12:39:03 -0500 Subject: [PATCH 0250/1566] [Data] User guide for aggregations (#53568) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Praveen Gorthy Signed-off-by: Douglas Strodtman --- doc/source/data/aggregations.rst | 152 ++++++++++++++++++++++++++ doc/source/data/data-internals.rst | 1 + doc/source/data/transforming-data.rst | 56 ---------- doc/source/data/user-guide.rst | 1 + 4 files changed, 154 insertions(+), 56 deletions(-) create mode 100644 doc/source/data/aggregations.rst diff --git a/doc/source/data/aggregations.rst b/doc/source/data/aggregations.rst new file mode 100644 index 000000000000..ffaa2263736c --- /dev/null +++ b/doc/source/data/aggregations.rst @@ -0,0 +1,152 @@ +.. _aggregations: + +Aggregations +============ + +Ray Data provides a flexible and performant API for performing aggregations on :class:`~ray.data.dataset.Dataset`. + +Basic Aggregations +------------------ + +Ray Data provides several built-in aggregation functions like +* :class:`~ray.data.aggregate.Count`, * :class:`~ray.data.aggregate.Sum`, * :class:`~ray.data.aggregate.Mean`, +* :class:`~ray.data.aggregate.Min`, * :class:`~ray.data.aggregate.Max`, * :class:`~ray.data.aggregate.Std`, +* :class:`~ray.data.aggregate.Quantile` + +These can be used directly with datasets like shown below: + +.. testcode:: + + import ray + from ray.data.aggregate import Count, Mean, Quantile + + # Create a sample dataset + ds = ray.data.range(100) + ds = ds.add_column("group_key", lambda x: x % 3) + + # Count all rows + result = ds.aggregate(Count()) + # result: {'count()': 100} + + # Calculate mean per group + result = ds.groupby("group_key").aggregate(Mean(on="id")).take_all() + # result: [{'group_key': 0, 'mean(id)': ...}, + # {'group_key': 1, 'mean(id)': ...}, + # {'group_key': 2, 'mean(id)': ...}] + + # Calculate 75th percentile + result = ds.aggregate(Quantile(on="id", q=0.75)) + # result: {'quantile(id)': 75.0} + + +Using Multiple Aggregations +--------------------------- + +Each of the preceding methods also has a corresponding :ref:`AggregateFnV2 ` object. These objects can be used in +:meth:`~ray.data.Dataset.aggregate()` or :meth:`Dataset.groupby().aggregate() ` to compute multiple aggregations at once. + +.. testcode:: + + import ray + from ray.data.aggregate import Count, Mean, Min, Max, Std + + ds = ray.data.range(100) + ds = ds.add_column("group_key", lambda x: x % 3) + + # Compute multiple aggregations at once + result = ds.groupby("group_key").aggregate( + Count(on="id"), + Mean(on="id"), + Min(on="id"), + Max(on="id"), + Std(on="id") + ).take_all() + # result: [{'group_key': 0, 'count(id)': 34, 'mean(id)': ..., 'min(id)': ..., 'max(id)': ..., 'std(id)': ...}, + # {'group_key': 1, 'count(id)': 33, 'mean(id)': ..., 'min(id)': ..., 'max(id)': ..., 'std(id)': ...}, + # {'group_key': 2, 'count(id)': 33, 'mean(id)': ..., 'min(id)': ..., 'max(id)': ..., 'std(id)': ...}] + + +Custom Aggregations +-------------------- + +For more complex aggregation needs, Ray Data allows you to create custom aggregations by implementing the :class:`~ray.data.aggregate.AggregateFnV2` interface. The AggregateFnV2 interface provides a framework for implementing distributed aggregations with three key methods: + +1. `aggregate_block`: Processes a single block of data and returns a partial aggregation result +2. `combine`: Merges two partial aggregation results into a single result +3. `_finalize`: Transforms the final accumulated result into the desired output format + +The aggregation process follows these steps: + +1. **Initialization**: For each group (if grouping) or for the entire dataset, an initial accumulator is created using `zero_factory` +2. **Block Aggregation**: The `aggregate_block` method is applied to each block independently +3. **Combination**: The `combine` method merges partial results into a single accumulator +4. **Finalization**: The `_finalize` method transforms the final accumulator into the desired output + +Example: Creating a Custom Mean Aggregator +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Here's an example of creating a custom aggregator that calculates the Mean of values in a column: + +.. testcode:: + + import numpy as np + from ray.data.aggregate import AggregateFnV2 + from ray.data._internal.util import is_null + from ray.data.block import Block, BlockAccessor, AggType, U + import pyarrow.compute as pc + from typing import List, Optional + + class Mean(AggregateFnV2): + """Defines mean aggregation.""" + + def __init__( + self, + on: Optional[str] = None, + ignore_nulls: bool = True, + alias_name: Optional[str] = None, + ): + super().__init__( + alias_name if alias_name else f"mean({str(on)})", + on=on, + ignore_nulls=ignore_nulls, + # NOTE: We've to copy returned list here, as some + # aggregations might be modifying elements in-place + zero_factory=lambda: list([0, 0]), # noqa: C410 + ) + + def aggregate_block(self, block: Block) -> AggType: + block_acc = BlockAccessor.for_block(block) + count = block_acc.count(self._target_col_name, self._ignore_nulls) + + if count == 0 or count is None: + # Empty or all null. + return None + + sum_ = block_acc.sum(self._target_col_name, self._ignore_nulls) + + if is_null(sum_): + # In case of ignore_nulls=False and column containing 'null' + # return as is (to prevent unnecessary type conversions, when, for ex, + # using Pandas and returning None) + return sum_ + + return [sum_, count] + + def combine(self, current_accumulator: AggType, new: AggType) -> AggType: + return [current_accumulator[0] + new[0], current_accumulator[1] + new[1]] + + def _finalize(self, accumulator: AggType) -> Optional[U]: + if accumulator[1] == 0: + return np.nan + + return accumulator[0] / accumulator[1] + + +.. note:: + Internally, aggregations support both the :ref:`hash-shuffle backend ` and the :ref:`range based backend `. + + Hash-shuffling can provide better performance for aggregations in certain cases. For more information see `comparision between hash based shuffling and Range Based shuffling approach `_ . + + To use the hash-shuffle algorithm for aggregations, you need to set the shuffle strategy explicitly: + ``ray.data.DataContext.get_current().shuffle_strategy = ShuffleStrategy.HASH_SHUFFLE`` before creating a ``Dataset`` + diff --git a/doc/source/data/data-internals.rst b/doc/source/data/data-internals.rst index 397048cebffc..6e9d4e942d74 100644 --- a/doc/source/data/data-internals.rst +++ b/doc/source/data/data-internals.rst @@ -120,6 +120,7 @@ ensuring that rows with the same key-values are being placed into the same parti .. note:: To use hash-shuffling in your aggregations and repartitioning operations, you need to currently specify ``ray.data.DataContext.get_current().shuffle_strategy = ShuffleStrategy.HASH_SHUFFLE`` before creating a ``Dataset``. +.. _range-partitioning-shuffle: Range-partitioning shuffle ~~~~~~~~~~~~~~~~~~~~~~~~~~ diff --git a/doc/source/data/transforming-data.rst b/doc/source/data/transforming-data.rst index 71413772e66f..367402af46fe 100644 --- a/doc/source/data/transforming-data.rst +++ b/doc/source/data/transforming-data.rst @@ -357,62 +357,6 @@ memory your function uses, and prevents Ray from scheduling too many tasks on a ds.map_batches(uses_lots_of_memory, memory=1 * 1024 * 1024) -.. _aggregations: - -Aggregations -============ - -Ray Data offers out-of-the-box methods for performing aggregations on your data. - -These methods include :meth:`~ray.data.Dataset.sum`, :meth:`~ray.data.Dataset.min`, :meth:`~ray.data.Dataset.max`, :meth:`~ray.data.Dataset.mean`, and more -(see :ref:`API Reference ` for the full list). - -You can use these methods as follows: - -.. testcode:: - - import ray - - ds = ray.data.range(10) - # Schema: {"id": int64} - ds.sum(on="id") - # 45 - - -You can also perform aggregations on grouped data. - -.. testcode:: - - import ray - - ds = ray.data.range(10) - # Schema: {"id": int64} - ds = ds.add_column("label", lambda x: x % 3) - # Schema: {"id": int64, "label": int64} - ds.groupby("label").sum(on="id").take_all() - # [{'label': 0, 'sum(id)': 18}, - # {'label': 1, 'sum(id)': 12}, - # {'label': 2, 'sum(id)': 15}] - -Each of the preceding methods also has a corresponding :ref:`AggregateFnV2 ` object. These objects can be used in -:meth:`~ray.data.Dataset.aggregate()` or :meth:`Dataset.groupby().aggregate() ` to compute multiple aggregations at once. - - -.. testcode:: - - import ray - - ds = ray.data.range(10) - # Schema: {"id": int64} - ds = ds.add_column("label", lambda x: x % 3) - # Schema: {"id": int64, "label": int64} - ds.aggregate( - ray.data.aggregate.Sum(on="id"), - ray.data.aggregate.Count(on="label") - ) - # {'sum(id)': 45, 'count(label)': 10} - - .. _transforming_groupby: Group-by and transforming groups diff --git a/doc/source/data/user-guide.rst b/doc/source/data/user-guide.rst index c8741c85fe5f..a1f450d17282 100644 --- a/doc/source/data/user-guide.rst +++ b/doc/source/data/user-guide.rst @@ -29,3 +29,4 @@ show you how achieve several tasks. batch_inference performance-tips custom-datasource-example + aggregations From a705d3013b4638a2f7c657c53d8e76030a9f3344 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Fri, 18 Jul 2025 02:10:13 +0800 Subject: [PATCH 0251/1566] [Core] minor fixes in GCS actor manager (#54664) - make bool var`export_event_write_enabled_` into initializer lists. - use `std::move` in initializer lists. Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_actor_manager.h | 44 +++++++++++----------- src/ray/util/event.cc | 4 +- src/ray/util/event.h | 4 +- 3 files changed, 27 insertions(+), 25 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 7e636983e763..7b2889bc9d15 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -54,9 +54,10 @@ class GcsActor { rpc::ActorTableData actor_table_data, std::shared_ptr>> counter) - : actor_table_data_(std::move(actor_table_data)), counter_(counter) { + : actor_table_data_(std::move(actor_table_data)), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { RefreshMetrics(); - export_event_write_enabled_ = IsExportAPIEnabledActor(); } /// Create a GcsActor by actor_table_data and task_spec. @@ -71,11 +72,11 @@ class GcsActor { std::shared_ptr>> counter) : actor_table_data_(std::move(actor_table_data)), - task_spec_(std::make_unique(task_spec)), - counter_(counter) { + task_spec_(std::make_unique(std::move(task_spec))), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); RefreshMetrics(); - export_event_write_enabled_ = IsExportAPIEnabledActor(); } /// Create a GcsActor by TaskSpec. @@ -84,25 +85,27 @@ class GcsActor { /// \param ray_namespace Namespace of the actor. /// \param counter The counter to report metrics to. explicit GcsActor( - const ray::rpc::TaskSpec &task_spec, + rpc::TaskSpec task_spec, std::string ray_namespace, std::shared_ptr>> counter) - : task_spec_(std::make_unique(task_spec)), counter_(counter) { - RAY_CHECK(task_spec.type() == TaskType::ACTOR_CREATION_TASK); - const auto &actor_creation_task_spec = task_spec.actor_creation_task_spec(); + : task_spec_(std::make_unique(std::move(task_spec))), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { + RAY_CHECK(task_spec_->type() == TaskType::ACTOR_CREATION_TASK); + const auto &actor_creation_task_spec = task_spec_->actor_creation_task_spec(); actor_table_data_.set_actor_id(actor_creation_task_spec.actor_id()); - actor_table_data_.set_job_id(task_spec.job_id()); + actor_table_data_.set_job_id(task_spec_->job_id()); actor_table_data_.set_max_restarts(actor_creation_task_spec.max_actor_restarts()); actor_table_data_.set_num_restarts(0); actor_table_data_.set_num_restarts_due_to_lineage_reconstruction(0); actor_table_data_.mutable_function_descriptor()->CopyFrom( - task_spec.function_descriptor()); + task_spec_->function_descriptor()); actor_table_data_.set_is_detached(actor_creation_task_spec.is_detached()); actor_table_data_.set_name(actor_creation_task_spec.name()); - actor_table_data_.mutable_owner_address()->CopyFrom(task_spec.caller_address()); + actor_table_data_.mutable_owner_address()->CopyFrom(task_spec_->caller_address()); actor_table_data_.set_state(rpc::ActorTableData::DEPENDENCIES_UNREADY); @@ -110,10 +113,10 @@ class GcsActor { actor_table_data_.mutable_address()->set_worker_id(WorkerID::Nil().Binary()); actor_table_data_.set_ray_namespace(ray_namespace); - if (task_spec.scheduling_strategy().scheduling_strategy_case() == + if (task_spec_->scheduling_strategy().scheduling_strategy_case() == rpc::SchedulingStrategy::SchedulingStrategyCase:: kPlacementGroupSchedulingStrategy) { - actor_table_data_.set_placement_group_id(task_spec.scheduling_strategy() + actor_table_data_.set_placement_group_id(task_spec_->scheduling_strategy() .placement_group_scheduling_strategy() .placement_group_id()); } @@ -124,7 +127,7 @@ class GcsActor { actor_table_data_.mutable_required_resources()->insert(resource_map.begin(), resource_map.end()); - const auto &function_descriptor = task_spec.function_descriptor(); + const auto &function_descriptor = task_spec_->function_descriptor(); switch (function_descriptor.function_descriptor_case()) { case rpc::FunctionDescriptor::FunctionDescriptorCase::kJavaFunctionDescriptor: actor_table_data_.set_class_name( @@ -141,16 +144,15 @@ class GcsActor { } actor_table_data_.set_serialized_runtime_env( - task_spec.runtime_env_info().serialized_runtime_env()); - if (task_spec.call_site().size() > 0) { - actor_table_data_.set_call_site(task_spec.call_site()); + task_spec_->runtime_env_info().serialized_runtime_env()); + if (task_spec_->call_site().size() > 0) { + actor_table_data_.set_call_site(task_spec_->call_site()); } - if (task_spec.label_selector().size() > 0) { + if (task_spec_->label_selector().size() > 0) { actor_table_data_.mutable_label_selector()->insert( - task_spec.label_selector().begin(), task_spec.label_selector().end()); + task_spec_->label_selector().begin(), task_spec_->label_selector().end()); } RefreshMetrics(); - export_event_write_enabled_ = IsExportAPIEnabledActor(); } ~GcsActor() { diff --git a/src/ray/util/event.cc b/src/ray/util/event.cc index 16c723e27c61..e8ce86cea675 100644 --- a/src/ray/util/event.cc +++ b/src/ray/util/event.cc @@ -517,9 +517,9 @@ void RayEventInit(const std::vector source_types, } bool IsExportAPIEnabledSourceType( - std::string source_type, + std::string_view source_type, bool enable_export_api_write_global, - std::vector enable_export_api_write_config) { + const std::vector &enable_export_api_write_config) { if (enable_export_api_write_global) { return true; } diff --git a/src/ray/util/event.h b/src/ray/util/event.h index d2e70aaf9358..a7f4b2b7b7f9 100644 --- a/src/ray/util/event.h +++ b/src/ray/util/event.h @@ -347,9 +347,9 @@ class RayExportEvent { }; bool IsExportAPIEnabledSourceType( - std::string source_type, + std::string_view source_type, bool enable_export_api_write_global, - std::vector enable_export_api_write_config_str); + const std::vector &enable_export_api_write_config_str); /// Ray Event initialization. /// From d06ec2aa6bb396e2a50a4e699ddc414c75147e28 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Fri, 18 Jul 2025 02:16:36 +0800 Subject: [PATCH 0252/1566] [Core] Avoid copy deque in cluster task manager (#54432) Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/raylet/scheduling/cluster_task_manager.cc | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_task_manager.cc index 75129b5721c1..096920365558 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager.cc @@ -273,8 +273,7 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { announce_infeasible_task_(task); } - // TODO(sang): Use a shared pointer deque to reduce copy overhead. - infeasible_tasks_[shapes_it->first] = shapes_it->second; + infeasible_tasks_[shapes_it->first] = std::move(shapes_it->second); tasks_to_schedule_.erase(shapes_it++); } else if (work_queue.empty()) { tasks_to_schedule_.erase(shapes_it++); @@ -328,7 +327,7 @@ void ClusterTaskManager::TryScheduleInfeasibleTask() { RAY_LOG(DEBUG) << "Infeasible task of task id " << task.GetTaskSpecification().TaskId() << " is now feasible. Move the entry back to tasks_to_schedule_"; - tasks_to_schedule_[shapes_it->first] = shapes_it->second; + tasks_to_schedule_[shapes_it->first] = std::move(shapes_it->second); infeasible_tasks_.erase(shapes_it++); } } From 73271acd2214a53179398f2c112965312dc6c431 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Thu, 17 Jul 2025 18:21:19 +0000 Subject: [PATCH 0253/1566] [V2][Autoscaler] Fix `_compute_to_launch` rate limiting upscaling on cold start (#54699) Currently, when the v2 autoscaler calculates the number of `QUEUED` nodes to transition to `REQUESTED` or "launch", the number of nodes is rate limited to `upscaling_speed * running_instances`. For all current Ray releases, it was previously: ``` upscaling_speed * ( len(requested_instances_for_type) + len(allocated_instances_for_type) ) ``` For default upscaling mode with KubeRay, `upscaling_speed` will equal 0 and otherwise will be a value greater than 0 (for default/aggressive `upscaling_speed = 1000`). Thus, for both the above calculations of `upscaling_speed` on cold start of a Ray autoscaling cluster (i.e 0 queued instances have been launched yet), the autoscaler will always launch 1 node on the initial iteration before launching the remaining nodes to satisfy the resource requests. This contributes to the issue in https://github.com/ray-project/kuberay/issues/3794 where a large number of requests cause the autoscaler to hang calling `try_schedule` on the first in-flight node. I manually tested this fix in the related issue thread. [#3794](https://github.com/ray-project/kuberay/issues/3794) --------- Signed-off-by: Ryan O'Leary Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/v2/instance_manager/reconciler.py | 2 +- python/ray/autoscaler/v2/tests/test_reconciler.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/autoscaler/v2/instance_manager/reconciler.py b/python/ray/autoscaler/v2/instance_manager/reconciler.py index dd13a8945ea7..f274854eca6a 100644 --- a/python/ray/autoscaler/v2/instance_manager/reconciler.py +++ b/python/ray/autoscaler/v2/instance_manager/reconciler.py @@ -848,7 +848,7 @@ def _sort_by_earliest_queued(instance: IMInstance) -> List[int]: # Enforce the max allowed pending nodes based on current running nodes num_desired_to_upscale = max( 1, - math.ceil(upscaling_speed * len(running_instances_for_type)), + math.ceil(upscaling_speed * max(len(running_instances_for_type), 1)), ) # Enforce global limit, at most we can launch `max_concurrent_launches` diff --git a/python/ray/autoscaler/v2/tests/test_reconciler.py b/python/ray/autoscaler/v2/tests/test_reconciler.py index c4269d782a05..016963dfbb4b 100644 --- a/python/ray/autoscaler/v2/tests/test_reconciler.py +++ b/python/ray/autoscaler/v2/tests/test_reconciler.py @@ -713,7 +713,7 @@ def test_max_concurrent_launches( TestReconciler._add_instances(instance_storage, [instance]) next_id += 1 - num_desired_upscale = max(1, math.ceil(upscaling_speed * (num_running))) + num_desired_upscale = max(1, math.ceil(upscaling_speed * (max(num_running, 1)))) expected_launch_num = min( num_desired_upscale, max(0, max_concurrent_launches - num_requested), # global limit From 25d965aa85c14bfb9437733ced08a2f6c6a22da1 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 17 Jul 2025 12:31:45 -0700 Subject: [PATCH 0254/1566] [Serve] Update test_grpc and test_model_composition to use get_application_url (#54704) This PR updates `test_grpc.py` and `test_model_composition.py` to use `get_application_url()` instead of hardcoded urls when necessary. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_grpc.py | 13 +++++++---- .../ray/serve/tests/test_model_composition.py | 23 ++++++++++++------- 2 files changed, 24 insertions(+), 12 deletions(-) diff --git a/python/ray/serve/tests/test_grpc.py b/python/ray/serve/tests/test_grpc.py index 384b5106c6f2..16f89836e406 100644 --- a/python/ray/serve/tests/test_grpc.py +++ b/python/ray/serve/tests/test_grpc.py @@ -11,6 +11,7 @@ from ray._common.test_utils import SignalActor from ray.serve._private.constants import SERVE_NAMESPACE from ray.serve._private.test_utils import ( + get_application_url, ping_fruit_stand, ping_grpc_another_method, ping_grpc_call_method, @@ -441,7 +442,8 @@ def Streaming( app_name = "app1" serve.run(model, name=app_name) - channel = grpc.insecure_channel("localhost:9000") + url = get_application_url("gRPC", app_name=app_name, use_localhost=True) + channel = grpc.insecure_channel(url) stub = serve_pb2_grpc.UserDefinedServiceStub(channel) request = serve_pb2.UserDefinedMessage(name="foo", num=30, foo="bar") @@ -502,7 +504,8 @@ def Streaming( app_name = "app1" serve.run(model, name=app_name) - channel = grpc.insecure_channel("localhost:9000") + url = get_application_url("gRPC", app_name=app_name, use_localhost=True) + channel = grpc.insecure_channel(url) stub = serve_pb2_grpc.UserDefinedServiceStub(channel) request = serve_pb2.UserDefinedMessage(name="foo", num=30, foo="bar") @@ -600,7 +603,8 @@ def Streaming( app_name = "app1" serve.run(model, name=app_name) - channel = grpc.insecure_channel("localhost:9000") + url = get_application_url("gRPC", app_name=app_name, use_localhost=True) + channel = grpc.insecure_channel(url) stub = serve_pb2_grpc.UserDefinedServiceStub(channel) request = serve_pb2.UserDefinedMessage(name="foo", num=30, foo="bar") @@ -642,7 +646,8 @@ def test_grpc_client_sending_large_payload(ray_instance, ray_shutdown): options = [ ("grpc.max_receive_message_length", 1024 * 1024 * 1024), ] - channel = grpc.insecure_channel("localhost:9000", options=options) + url = get_application_url("gRPC", use_localhost=True) + channel = grpc.insecure_channel(url, options=options) stub = serve_pb2_grpc.UserDefinedServiceStub(channel) # This is a large payload that exists gRPC's default message limit. diff --git a/python/ray/serve/tests/test_model_composition.py b/python/ray/serve/tests/test_model_composition.py index 520ff79b0679..3f6da819f10c 100644 --- a/python/ray/serve/tests/test_model_composition.py +++ b/python/ray/serve/tests/test_model_composition.py @@ -9,6 +9,7 @@ import starlette.requests from ray import serve +from ray.serve._private.test_utils import get_application_url from ray.serve.handle import DeploymentHandle NESTED_HANDLE_KEY = "nested_handle" @@ -122,8 +123,9 @@ def test_single_func_no_input(serve_instance): serve_dag = NoargDriver.bind(dag) handle = serve.run(serve_dag) + url = get_application_url() assert handle.remote().result() == "hello" - assert httpx.get("http://127.0.0.1:8000/").text == "hello" + assert httpx.get(url).text == "hello" async def json_resolver(request: starlette.requests.Request): @@ -136,8 +138,9 @@ def test_multi_instantiation_class_deployment_in_init_args(serve_instance): serve_dag = Combine.bind(m1, m2=m2) handle = serve.run(serve_dag) + url = get_application_url() assert handle.predict.remote(1).result() == 5 - assert httpx.post("http://127.0.0.1:8000/", json=1).json() == 5 + assert httpx.post(url, json=1).json() == 5 def test_shared_deployment_handle(serve_instance): @@ -145,8 +148,9 @@ def test_shared_deployment_handle(serve_instance): serve_dag = Combine.bind(m, m2=m) handle = serve.run(serve_dag) + url = get_application_url() assert handle.predict.remote(1).result() == 4 - assert httpx.post("http://127.0.0.1:8000/", json=1).json() == 4 + assert httpx.post(url, json=1).json() == 4 def test_multi_instantiation_class_nested_deployment_arg_dag(serve_instance): @@ -155,16 +159,17 @@ def test_multi_instantiation_class_nested_deployment_arg_dag(serve_instance): serve_dag = Combine.bind(m1, m2={NESTED_HANDLE_KEY: m2}) handle = serve.run(serve_dag) + url = get_application_url() assert handle.predict.remote(1).result() == 5 - assert httpx.post("http://127.0.0.1:8000/", json=1).json() == 5 + assert httpx.post(url, json=1).json() == 5 def test_class_factory(serve_instance): serve_dag = serve.deployment(class_factory()).bind(3) - + url = get_application_url() handle = serve.run(serve_dag) assert handle.get.remote().result() == 3 - assert httpx.get("http://127.0.0.1:8000/").text == "3" + assert httpx.get(url).text == "3" @serve.deployment @@ -199,8 +204,9 @@ def test_passing_handle(serve_instance): child = Adder.bind(1) parent = TakeHandle.bind(child) handle = serve.run(parent) + url = get_application_url() assert handle.predict.remote(1).result() == 2 - assert httpx.post("http://127.0.0.1:8000/", json=1).json() == 2 + assert httpx.post(url, json=1).json() == 2 @serve.deployment @@ -293,8 +299,9 @@ def func(): def test_single_functional_node_base_case(serve_instance): # Base case should work handle = serve.run(func.bind()) + url = get_application_url() assert handle.remote().result() == 1 - assert httpx.get("http://127.0.0.1:8000/").text == "1" + assert httpx.get(url).text == "1" def test_unsupported_remote(): From 64d0d3195fa5b46e086004a7a040a3e6bcc87d28 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 17 Jul 2025 12:35:09 -0700 Subject: [PATCH 0255/1566] reduce CPUs for test standalone (#54650) Deflake test_standalone for windows. Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_standalone.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/python/ray/serve/tests/test_standalone.py b/python/ray/serve/tests/test_standalone.py index a3d507b467bf..ba4b506ded42 100644 --- a/python/ray/serve/tests/test_standalone.py +++ b/python/ray/serve/tests/test_standalone.py @@ -80,7 +80,7 @@ def lower_slow_startup_threshold_and_reset(): def test_shutdown(ray_shutdown): - ray.init(num_cpus=16) + ray.init(num_cpus=8) serve.start(http_options=dict(port=8003)) gcs_client = GcsClient(address=ray.get_runtime_context().gcs_address) cluster_node_info_cache = create_cluster_node_info_cache(gcs_client) @@ -131,7 +131,7 @@ def test_single_app_shutdown_actors(ray_shutdown): Ensures that after deploying a (nameless) app using serve.run(), serve.shutdown() deletes all actors (controller, http proxy, all replicas) in the "serve" namespace. """ - address = ray.init(num_cpus=16)["address"] + address = ray.init(num_cpus=8)["address"] serve.start(http_options=dict(port=8003)) @serve.deployment @@ -171,7 +171,7 @@ def test_multi_app_shutdown_actors(ray_shutdown): Ensures that after deploying multiple distinct applications, serve.shutdown() deletes all actors (controller, http proxy, all replicas) in the "serve" namespace. """ - address = ray.init(num_cpus=16)["address"] + address = ray.init(num_cpus=8)["address"] serve.start(http_options=dict(port=8003)) @serve.deployment @@ -245,7 +245,7 @@ def g(*args): def test_connect(ray_shutdown): # Check that you can make API calls from within a deployment. - ray.init(num_cpus=16, namespace="serve") + ray.init(num_cpus=8, namespace="serve") serve.start() @serve.deployment @@ -454,7 +454,7 @@ def test_no_http(ray_shutdown): {"http_options": {"location": "NoServer"}}, ] - address = ray.init(num_cpus=16)["address"] + address = ray.init(num_cpus=8)["address"] for i, option in enumerate(options): print(f"[{i+1}/{len(options)}] Running with {option}") serve.start(**option) From 246ccdd3bc1b95a7c70585534c8b3f401b1ad79f Mon Sep 17 00:00:00 2001 From: akshay-anyscale <122416226+akshay-anyscale@users.noreply.github.com> Date: Thu, 17 Jul 2025 14:11:17 -0700 Subject: [PATCH 0256/1566] Add max_concurrent_batches to docs (#54712) ## Why are these changes needed? Document `max_concurrent_batches` parameter in Serve's batching API. Signed-off-by: akshay-anyscale <122416226+akshay-anyscale@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/serve/advanced-guides/dyn-req-batch.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/doc/source/serve/advanced-guides/dyn-req-batch.md b/doc/source/serve/advanced-guides/dyn-req-batch.md index fbcf76a7048a..e38ef30092df 100644 --- a/doc/source/serve/advanced-guides/dyn-req-batch.md +++ b/doc/source/serve/advanced-guides/dyn-req-batch.md @@ -30,9 +30,11 @@ emphasize-lines: 11-12 --- ``` -You can supply two optional parameters to the decorators. +You can supply 3 optional parameters to the decorators. - `batch_wait_timeout_s` controls how long Serve should wait for a batch once the first request arrives. - `max_batch_size` controls the size of the batch. +- `max_concurrent_batches` maximum number of batches that can run concurrently. + Once the first request arrives, the batching decorator waits for a full batch (up to `max_batch_size`) until `batch_wait_timeout_s` is reached. If the timeout is reached, the Serve sends the batch to the model regardless the batch size. :::{tip} From 699922aa886e2b707b1544a6f2e3146757f92631 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 17 Jul 2025 14:41:09 -0700 Subject: [PATCH 0257/1566] [ci] run macos tests on apple silicon by default (#54706) except java tests. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/macos/macos.rayci.yml | 12 ++++++------ .buildkite/release-automation/pre_release.rayci.yml | 3 ++- ci/ray_ci/macos/macos_ci.sh | 11 +++++++++-- .../job/tests/test_backwards_compatibility.py | 4 ++++ 4 files changed, 21 insertions(+), 9 deletions(-) diff --git a/.buildkite/macos/macos.rayci.yml b/.buildkite/macos/macos.rayci.yml index fdeccf418aaa..ec7a2a893d4c 100644 --- a/.buildkite/macos/macos.rayci.yml +++ b/.buildkite/macos/macos.rayci.yml @@ -39,7 +39,7 @@ steps: - macos_wheels - oss job_env: MACOS - instance_type: macos + instance_type: macos-arm64 commands: - ./ci/ray_ci/macos/macos_ci.sh run_small_test @@ -51,7 +51,7 @@ steps: - macos_wheels - oss job_env: MACOS - instance_type: macos + instance_type: macos-arm64 commands: - ./ci/ray_ci/macos/macos_ci.sh run_medium_a_j_test @@ -63,7 +63,7 @@ steps: - macos_wheels - oss job_env: MACOS - instance_type: macos + instance_type: macos-arm64 commands: - ./ci/ray_ci/macos/macos_ci.sh run_medium_k_z_test @@ -75,7 +75,7 @@ steps: - macos_wheels - oss job_env: MACOS - instance_type: macos + instance_type: macos-arm64 parallelism: 3 commands: - ./ci/ray_ci/macos/macos_ci.sh run_large_test @@ -89,7 +89,7 @@ steps: - macos_wheels - oss job_env: MACOS - instance_type: macos + instance_type: macos-arm64 commands: - ./ci/ray_ci/macos/macos_ci.sh run_core_dashboard_test @@ -116,7 +116,7 @@ steps: - flaky - skip_on_premerge job_env: MACOS - instance_type: macos + instance_type: macos-arm64 soft_fail: true commands: - ./ci/ray_ci/macos/macos_ci.sh run_flaky_tests diff --git a/.buildkite/release-automation/pre_release.rayci.yml b/.buildkite/release-automation/pre_release.rayci.yml index 0ae68f67a393..8d42afc85394 100644 --- a/.buildkite/release-automation/pre_release.rayci.yml +++ b/.buildkite/release-automation/pre_release.rayci.yml @@ -85,7 +85,8 @@ steps: branch: "${BUILDKITE_BRANCH}" message: "Triggered by release-automation build #${BUILDKITE_BUILD_NUMBER}" env: - RAYCI_RELEASE: 1 + RAYCI_RELEASE: "1" + RAYCI_DISABLE_TEST_DB: "1" - block: "Trigger Release nightly test" if: build.env("RAYCI_WEEKLY_RELEASE_NIGHTLY") != "1" diff --git a/ci/ray_ci/macos/macos_ci.sh b/ci/ray_ci/macos/macos_ci.sh index 0cc8357d48f8..7cd8c055e2e0 100755 --- a/ci/ray_ci/macos/macos_ci.sh +++ b/ci/ray_ci/macos/macos_ci.sh @@ -18,12 +18,12 @@ filter_out_flaky_tests() { # Test DB is disabled, so simply passthrough and run everything. cat else - bazel run ci/ray_ci/automation:filter_tests -- --state_filter=-flaky --prefix=darwin: + bazel run --config=ci ci/ray_ci/automation:filter_tests -- --state_filter=-flaky --prefix=darwin: fi } select_flaky_tests() { - bazel run ci/ray_ci/automation:filter_tests -- --state_filter=flaky --prefix=darwin: + bazel run --config=ci ci/ray_ci/automation:filter_tests -- --state_filter=flaky --prefix=darwin: } run_tests() { @@ -107,6 +107,13 @@ _prelude() { fi . ./ci/ci.sh init && source ~/.zshenv source ~/.zshrc + + if [[ -d /opt/homebrew/opt/miniforge/bin ]]; then + # Makes sure that miniforge's bin directory is the first one in PATH + # Otherwise, python/python3 might point to ones under /opt/homebrew/bin/ + export PATH="/opt/homebrew/opt/miniforge/bin:$PATH" + fi + ./ci/ci.sh build ./ci/env/env_info.sh } diff --git a/python/ray/dashboard/modules/job/tests/test_backwards_compatibility.py b/python/ray/dashboard/modules/job/tests/test_backwards_compatibility.py index fc57ddf85550..252e24e94f75 100644 --- a/python/ray/dashboard/modules/job/tests/test_backwards_compatibility.py +++ b/python/ray/dashboard/modules/job/tests/test_backwards_compatibility.py @@ -35,6 +35,10 @@ def _compatibility_script_path(file_name: str) -> str: class TestBackwardsCompatibility: + @pytest.mark.skipif( + sys.platform == "darwin", + reason="ray 2.0.1 runs differently on apple silicon than today's.", + ) def test_cli(self): """ Test that the current commit's CLI works with old server-side Ray versions. From f741fb6d85c641b25fb527c8abf811387f2091ad Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 17 Jul 2025 15:54:19 -0700 Subject: [PATCH 0258/1566] [core] Remove temp ref increment on HandleGetObjectStatus (#54690) ## Why are these changes needed? There's 2 changes here: 1. Removing the temp ref increment and decrement during `HandleGetObjectStatus`. - It was initially added here https://github.com/ray-project/ray/pull/9394/files#r452951755 The reasoning was that the callback needs to be put into the memory_store either while the object existed in the memory_store or before it existed. Adding a local reference will prevent it from being evicted until the point that the callback is put into memory_store. But if eviction was even possible during this time, it means eviction was also possible before `HandleGetObjectStatus` and it could've gotten evicted before the GetObjectStatus request even came in in the first place. This means we're not really protecting much with the increment. - The GetObjectStatus request gets sent when somebody is borrowing the object, and if there's borrowing, the ref count should be incremented while it's being borrowed anyways. Otherwise, we'd have a host of other problems. 2. Immediately replying if the object is freed instead of replying with FREED in the GetAsync callback. - The logic to reply with FREED in the GetAsync callback was initially added here https://github.com/ray-project/ray/pull/13309#discussion_r555242333. The description and comments make it seem like nobody knew why it was being done that way even when it was added... - The first reason an object is added to reference_count's `freed_objects` is the internal.free API in which case we tell the reference counter to free and then immediately put FREED into the memory_store. https://github.com/ray-project/ray/blob/6c60d8a577effef6b036ef9dc90911af318d6e45/src/ray/core_worker/core_worker.cc#L4710-L4717 - The second reason is if `SealExisting` is called with `pin_object` as false. This happens when we're restoring from spill or for compiled graphs channels. In this case we free and put in the memory store with plasma error (this still doesn't make sense to me...). https://github.com/ray-project/ray/blob/6c60d8a577effef6b036ef9dc90911af318d6e45/src/ray/core_worker/core_worker.cc#L1795-L1797 - Therefore, the object immediately goes into the memory_store immediately after free and there's no point in passing `is_freed` into the callback and delaying the reply. There's also a race here that existed before and will continue to exist. The object could be freed after GetAsync and this would cause us to reply with CREATED even though it was freed. Note: there's an extra question here, is replying with FREED even necessary, especially after we remove the internal_free API?? The comment thread above makes it seem like it isn't really necessary. The reply handler doesn't do anything in the freed case. We also put into the memory store saying the obj is in plasma even after "free" in restore spill / cgraphs case, so the object is available but GetObjectStatus will say it isn't? All of this free logic doesn't really make any sense to me in the current state of the codebase and maybe it's just a relic. Since we're planning on removing internal.free, I think `freed_objects` should go with it to decrease ref counting complexity all over. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 39 ++++++++++++------------------ 1 file changed, 16 insertions(+), 23 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index c43b44f09a74..a001fc5b5caf 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -4011,10 +4011,6 @@ void CoreWorker::HandleGetObjectStatus(rpc::GetObjectStatusRequest request, ObjectID object_id = ObjectID::FromBinary(request.object_id()); RAY_LOG(DEBUG).WithField(object_id) << "Received GetObjectStatus"; - // Acquire a reference to the object. This prevents the object from being - // evicted out from under us while we check the object status and start the - // Get. - AddLocalReference(object_id, ""); rpc::Address owner_address; auto has_owner = reference_counter_->GetOwner(object_id, &owner_address); @@ -4022,26 +4018,23 @@ void CoreWorker::HandleGetObjectStatus(rpc::GetObjectStatusRequest request, // We owned this object, but the object has gone out of scope. reply->set_status(rpc::GetObjectStatusReply::OUT_OF_SCOPE); send_reply_callback(Status::OK(), nullptr, nullptr); - } else { - RAY_CHECK(owner_address.worker_id() == request.owner_worker_id()); - bool is_freed = reference_counter_->IsPlasmaObjectFreed(object_id); - - // Send the reply once the value has become available. The value is - // guaranteed to become available eventually because we own the object and - // its ref count is > 0. - memory_store_->GetAsync(object_id, - [this, object_id, reply, send_reply_callback, is_freed]( - const std::shared_ptr &obj) { - if (is_freed) { - reply->set_status(rpc::GetObjectStatusReply::FREED); - } else { - PopulateObjectStatus(object_id, obj, reply); - } - send_reply_callback(Status::OK(), nullptr, nullptr); - }); + return; } - - RemoveLocalReference(object_id); + RAY_CHECK(owner_address.worker_id() == request.owner_worker_id()); + if (reference_counter_->IsPlasmaObjectFreed(object_id)) { + reply->set_status(rpc::GetObjectStatusReply::FREED); + send_reply_callback(Status::OK(), nullptr, nullptr); + return; + } + // Send the reply once the value has become available. The value is + // guaranteed to become available eventually because we own the object and + // its ref count is > 0. + memory_store_->GetAsync(object_id, + [this, object_id, reply, send_reply_callback]( + const std::shared_ptr &obj) { + PopulateObjectStatus(object_id, obj, reply); + send_reply_callback(Status::OK(), nullptr, nullptr); + }); } void CoreWorker::PopulateObjectStatus(const ObjectID &object_id, From a9beb404e265b0e083178dcb16eeba3885b5e1cb Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Thu, 17 Jul 2025 16:15:22 -0700 Subject: [PATCH 0259/1566] [Serve.llm] choose better default values for deployment configs so that they are not the bottleneck (#54696) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../llm/_internal/serve/configs/constants.py | 45 ++++++++++++------- .../serve/deployments/llm/llm_server.py | 16 +++---- .../serve/deployments/routers/router.py | 37 +++++++-------- .../cpu/builders/test_application_builders.py | 4 +- .../llama_3dot1_8b_quantized_tp1.yaml | 3 +- .../model_config/llama_3dot1_8b_tp2.yaml | 3 +- 6 files changed, 58 insertions(+), 50 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/constants.py b/python/ray/llm/_internal/serve/configs/constants.py index 7d1d8452c30b..f5571a402f8d 100644 --- a/python/ray/llm/_internal/serve/configs/constants.py +++ b/python/ray/llm/_internal/serve/configs/constants.py @@ -18,8 +18,6 @@ os.getenv("DEFAULT_MULTIPLEX_DOWNLOAD_RETRIES", "3") ) -DEFAULT_TARGET_ONGOING_REQUESTS = 16 - # If true, a default runtime_env will be injected to import rayllm on worker startup. # This is a startup time optimization to avoid the latency penalty of sequentially @@ -36,11 +34,20 @@ LORA_ADAPTER_CONFIG_NAME = "adapter_config.json" DEFAULT_HEALTH_CHECK_PERIOD_S = int( - os.getenv("RAYLLM_DEFAULT_HEALTH_CHECK_PERIOD_S", "10") + os.getenv("RAY_SERVE_LLM_DEFAULT_HEALTH_CHECK_PERIOD_S", "10") ) DEFAULT_HEALTH_CHECK_TIMEOUT_S = int( - os.getenv("RAYLLM_DEFAULT_HEALTH_CHECK_TIMEOUT_S", "10") + os.getenv("RAY_SERVE_LLM_DEFAULT_HEALTH_CHECK_TIMEOUT_S", "10") +) +DEFAULT_MAX_ONGOING_REQUESTS = int( + os.getenv("RAY_SERVE_LLM_DEFAULT_MAX_ONGOING_REQUESTS", str(int(1e9))) ) +DEFAULT_MAX_REPLICAS = int(os.getenv("RAY_SERVE_LLM_DEFAULT_MAX_REPLICAS", "10")) +DEFAULT_MAX_TARGET_ONGOING_REQUESTS = int( + os.getenv("RAY_SERVE_LLM_DEFAULT_MAX_TARGET_ONGOING_REQUESTS", str(int(1e9))) +) + + ENGINE_START_TIMEOUT_S = int(os.getenv("RAYLLM_ENGINE_START_TIMEOUT_S", str(60 * 60))) MIN_NUM_TOPLOGPROBS_ALLOWED = 0 @@ -61,27 +68,33 @@ "HF_TOKEN", } # timeout in 10 minutes. Streaming can take longer than 3 min -RAYLLM_ROUTER_HTTP_TIMEOUT = float(os.environ.get("RAYLLM_ROUTER_HTTP_TIMEOUT", 600)) +DEFAULT_LLM_ROUTER_HTTP_TIMEOUT = float( + os.environ.get("RAY_SERVE_LLM_ROUTER_HTTP_TIMEOUT", 600) +) ENABLE_VERBOSE_TELEMETRY = bool(int(os.getenv("RAYLLM_ENABLE_VERBOSE_TELEMETRY", "0"))) RAYLLM_VLLM_ENGINE_CLS_ENV = "RAYLLM_VLLM_ENGINE_CLS" -# The ratio of number of router replicas to number of model replicas. Default to 2 -# meaning that there are 2 router replicas for every model replica. -ROUTER_TO_MODEL_REPLICA_RATIO = float( - os.getenv("RAYLLM_ROUTER_TO_MODEL_REPLICA_RATIO", "2") +# The ratio of number of router replicas to number of model replicas. +# Default to 2 meaning that there are 2 router replicas for every model replica. +DEFAULT_ROUTER_TO_MODEL_REPLICA_RATIO = float( + os.getenv("RAY_SERVE_LLM_ROUTER_TO_MODEL_REPLICA_RATIO", "2") ) -RAYLLM_ROUTER_MIN_REPLICAS = int(os.environ.get("RAYLLM_ROUTER_MIN_REPLICAS", 0)) -RAYLLM_ROUTER_INITIAL_REPLICAS = int( - os.environ.get("RAYLLM_ROUTER_INITIAL_REPLICAS", 2) +DEFAULT_LLM_ROUTER_MIN_REPLICAS = int( + os.environ.get("RAY_SERVE_LLM_ROUTER_MIN_REPLICAS", 0) +) +DEFAULT_LLM_ROUTER_INITIAL_REPLICAS = int( + os.environ.get("RAY_SERVE_LLM_ROUTER_INITIAL_REPLICAS", 2) +) +DEFAULT_LLM_ROUTER_MAX_REPLICAS = int( + os.environ.get("RAY_SERVE_LLM_ROUTER_MAX_REPLICAS", 16) ) -RAYLLM_ROUTER_MAX_REPLICAS = int(os.environ.get("RAYLLM_ROUTER_MAX_REPLICAS", 16)) -RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS = int( +DEFAULT_LLM_ROUTER_TARGET_ONGOING_REQUESTS = int( os.environ.get( - "RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS", - DEFAULT_TARGET_ONGOING_REQUESTS, # 16 + "RAY_SERVE_LLM_ROUTER_TARGET_ONGOING_REQUESTS", + DEFAULT_MAX_TARGET_ONGOING_REQUESTS, ) ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 4098464e0162..2bbf88f1dc48 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -18,6 +18,9 @@ from ray.llm._internal.serve.configs.constants import ( DEFAULT_HEALTH_CHECK_PERIOD_S, DEFAULT_HEALTH_CHECK_TIMEOUT_S, + DEFAULT_MAX_ONGOING_REQUESTS, + DEFAULT_MAX_REPLICAS, + DEFAULT_MAX_TARGET_ONGOING_REQUESTS, ENGINE_START_TIMEOUT_S, MODEL_RESPONSE_BATCH_TIMEOUT_MS, RAYLLM_VLLM_ENGINE_CLS_ENV, @@ -351,17 +354,10 @@ def as_deployment( autoscaling_config={ "min_replicas": 1, "initial_replicas": 1, - "max_replicas": 10, - "target_ongoing_requests": int( - os.environ.get( - "RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS", - os.environ.get( - "RAYLLM_ROUTER_TARGET_NUM_ONGOING_REQUESTS_PER_REPLICA", 10 - ), - ) - ), + "max_replicas": DEFAULT_MAX_REPLICAS, + "target_ongoing_requests": DEFAULT_MAX_TARGET_ONGOING_REQUESTS, }, - max_ongoing_requests=20, # Maximum backlog for a single replica + max_ongoing_requests=DEFAULT_MAX_ONGOING_REQUESTS, health_check_period_s=DEFAULT_HEALTH_CHECK_PERIOD_S, health_check_timeout_s=DEFAULT_HEALTH_CHECK_TIMEOUT_S, ) diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index 2345f877bee7..2389d05decff 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -1,6 +1,5 @@ import asyncio import json -import os import sys from typing import ( Any, @@ -22,12 +21,13 @@ from ray import serve from ray._common.utils import get_or_create_event_loop from ray.llm._internal.serve.configs.constants import ( - RAYLLM_ROUTER_HTTP_TIMEOUT, - RAYLLM_ROUTER_INITIAL_REPLICAS, - RAYLLM_ROUTER_MAX_REPLICAS, - RAYLLM_ROUTER_MIN_REPLICAS, - RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS, - ROUTER_TO_MODEL_REPLICA_RATIO, + DEFAULT_LLM_ROUTER_HTTP_TIMEOUT, + DEFAULT_LLM_ROUTER_INITIAL_REPLICAS, + DEFAULT_LLM_ROUTER_MAX_REPLICAS, + DEFAULT_LLM_ROUTER_MIN_REPLICAS, + DEFAULT_LLM_ROUTER_TARGET_ONGOING_REQUESTS, + DEFAULT_MAX_ONGOING_REQUESTS, + DEFAULT_ROUTER_TO_MODEL_REPLICA_RATIO, ) from ray.llm._internal.serve.configs.openai_api_models import ( ChatCompletionRequest, @@ -375,7 +375,7 @@ async def _process_llm_request( ) call_method = "chat" if is_chat else "completions" - async with timeout(RAYLLM_ROUTER_HTTP_TIMEOUT): + async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): gen = self._get_response(body=body, call_method=call_method) @@ -433,7 +433,7 @@ async def embeddings(self, body: EmbeddingRequest) -> Response: Returns: A response object with embeddings. """ - async with timeout(RAYLLM_ROUTER_HTTP_TIMEOUT): + async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): results = self._get_response(body=body, call_method="embeddings") result = await results.__anext__() if isinstance(result, ErrorResponse): @@ -455,9 +455,9 @@ def as_deployment( Returns: A Ray Serve deployment. """ - min_replicas = RAYLLM_ROUTER_MIN_REPLICAS - initial_replicas = RAYLLM_ROUTER_INITIAL_REPLICAS - max_replicas = RAYLLM_ROUTER_MAX_REPLICAS + min_replicas = DEFAULT_LLM_ROUTER_MIN_REPLICAS + initial_replicas = DEFAULT_LLM_ROUTER_INITIAL_REPLICAS + max_replicas = DEFAULT_LLM_ROUTER_MAX_REPLICAS num_router_replicas = 0 # Note (genesu): Based on our internal benchmark, we are currently bottleneck @@ -491,13 +491,13 @@ def as_deployment( ) model_max_replicas += autoscaling_config.max_replicas min_replicas = num_router_replicas or int( - model_min_replicas * ROUTER_TO_MODEL_REPLICA_RATIO + model_min_replicas * DEFAULT_ROUTER_TO_MODEL_REPLICA_RATIO ) initial_replicas = num_router_replicas or int( - model_initial_replicas * ROUTER_TO_MODEL_REPLICA_RATIO + model_initial_replicas * DEFAULT_ROUTER_TO_MODEL_REPLICA_RATIO ) max_replicas = num_router_replicas or int( - model_max_replicas * ROUTER_TO_MODEL_REPLICA_RATIO + model_max_replicas * DEFAULT_ROUTER_TO_MODEL_REPLICA_RATIO ) ingress_cls = serve.ingress(fastapi_router_app)(cls) @@ -506,12 +506,9 @@ def as_deployment( "min_replicas": min_replicas, "initial_replicas": initial_replicas, "max_replicas": max_replicas, - "target_ongoing_requests": RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS, + "target_ongoing_requests": DEFAULT_LLM_ROUTER_TARGET_ONGOING_REQUESTS, }, - ray_actor_options=json.loads( - os.environ.get("RAYLLM_ROUTER_RAY_ACTOR_OPTIONS", "{}") - ), - max_ongoing_requests=1000, # Maximum backlog for a single replica + max_ongoing_requests=DEFAULT_MAX_ONGOING_REQUESTS, ) deployment_cls = deployment_decorator(ingress_cls) diff --git a/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py b/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py index 0261120a31d6..a64dbd803c47 100644 --- a/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py +++ b/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py @@ -15,7 +15,7 @@ build_openai_app, ) from ray.llm._internal.serve.configs.constants import ( - RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS, + DEFAULT_LLM_ROUTER_TARGET_ONGOING_REQUESTS, ) from ray.llm._internal.serve.configs.server_models import ( LLMConfig, @@ -180,7 +180,7 @@ def test_router_built_with_autoscaling_configs(self, disable_placement_bundles): assert router_autoscaling_config.max_replicas == 12 # (1 + 1 + 4) * 2 assert ( router_autoscaling_config.target_ongoing_requests - == RAYLLM_ROUTER_TARGET_ONGOING_REQUESTS + == DEFAULT_LLM_ROUTER_TARGET_ONGOING_REQUESTS ) diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml index 335fabd2bd73..0f665a6f24a3 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_quantized_tp1.yaml @@ -6,4 +6,5 @@ accelerator_type: A10G engine_kwargs: max_model_len: 8192 tensor_parallel_size: 1 - enforce_eager: true + # NOTE: This is used for perf testing as well, so cuda graph must be enabled. + enforce_eager: false diff --git a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml index 0d616e8f4105..d948b03c930b 100644 --- a/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml +++ b/release/llm_tests/serve/configs/model_config/llama_3dot1_8b_tp2.yaml @@ -6,4 +6,5 @@ accelerator_type: A10G engine_kwargs: max_model_len: 8192 tensor_parallel_size: 2 - enforce_eager: true + # NOTE: This is used for perf testing as well, so cuda graph must be enabled. + enforce_eager: false From 1c02ceb5f86994786ba642aab3c4eb4c1a505006 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Thu, 17 Jul 2025 16:28:54 -0700 Subject: [PATCH 0260/1566] Train Tests: Update timeout for skip_training.jpeg.preserve_order (#54709) Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index e9d0e0db09bb..30891316e631 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2191,7 +2191,7 @@ - __suffix__: skip_training.jpeg.preserve_order run: - timeout: 1200 + timeout: 2400 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=image_classification --image_classification_data_format=jpeg --dataloader_type=ray_data --num_workers=16 --skip_train_step --skip_validation_at_epoch_end --preserve_order - __suffix__: skip_training.jpeg.torch_dataloader From 3316eb1702f631569f52ace7e2b7d71c8996de56 Mon Sep 17 00:00:00 2001 From: Emanuele Petriglia Date: Fri, 18 Jul 2025 01:57:04 +0200 Subject: [PATCH 0261/1566] [RLlib] Add missing documentation for SACConfig's training() (#53918) ## Why are these changes needed? The `num_steps_sampled_before_learning_starts` is present in SACConfig training() method but is missing in the docstring. So this commit adds a small description to explain it. ## Related issue number There is no related issue. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Emanuele Petriglia Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/algorithms/sac/sac.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/rllib/algorithms/sac/sac.py b/rllib/algorithms/sac/sac.py index 071aa641c498..581434e03ed9 100644 --- a/rllib/algorithms/sac/sac.py +++ b/rllib/algorithms/sac/sac.py @@ -120,9 +120,6 @@ def __init__(self, algo_class=None): # .training() self.train_batch_size_per_learner = 256 self.train_batch_size = 256 # @OldAPIstack - # Number of timesteps to collect from rollout workers before we start - # sampling from replay buffers for learning. Whether we count this in agent - # steps or environment steps depends on config.multi_agent(count_steps_by=..). self.num_steps_sampled_before_learning_starts = 1500 # .reporting() @@ -313,6 +310,11 @@ def training( The default value is 3e-4, identical to the critic learning rate (`lr`). target_network_update_freq: Update the target network every `target_network_update_freq` steps. + num_steps_sampled_before_learning_starts: Number of timesteps (int) + that we collect from the runners before we start sampling the + replay buffers for learning. Whether we count this in agent steps + or environment steps depends on the value of + `config.multi_agent(count_steps_by=...)`. _deterministic_loss: Whether the loss should be calculated deterministically (w/o the stochastic action sampling step). True only useful for continuous actions and for debugging. From faaa815b84c8f8f2a121e4a19e452a696df9314f Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 17 Jul 2025 17:47:06 -0700 Subject: [PATCH 0262/1566] [core] Core worker + Cython cleanup unnecessary paths (#54654) Some cleaning up to simplify things. No actual logical/functional changes - Kill `GetOwnershipInfoAndDie` - only used for java api and just does a ray check on the status after calling `GetOwnershipInfo`. Just moved the status check to the java interface. - Changed `find` / `count` calls to `contains` in reference_count - a little more performant + more readable - Making `CoreWorkerMemoryStore::GetAsync` a little cleaner - Inline `_create_put_buffer`. Only used in one spot and just called `CreateOwnedAndIncrementLocalRef` and did a one line if check. - Remove `created_by_worker` from`CreateOwnedAndIncrementLocalRef`. It was always set to True. - Remove `object_ref` as an optional parameter for `put_object` and `put_serialized_object_and_increment_local_ref`. This isn't used anywhere except test_component_failures and no public api exposes the option to put inside an existing ref. Removed the usage in test_component_failures, and replaced with signal_actor. where the test was added: https://github.com/ray-project/ray/pull/2997/files#diff-458d70dfb56bb932dc0f0b7c8bb60cc759c72564ad036010dce02c50134042e2 Signed-off-by: dayshah Signed-off-by: Dhyey Shah Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 18 +-- python/ray/_raylet.pxd | 8 - python/ray/_raylet.pyx | 140 ++++++------------ python/ray/includes/libcoreworker.pxd | 1 - python/ray/tests/test_component_failures.py | 80 +++++----- src/ray/core_worker/core_worker.cc | 10 +- src/ray/core_worker/core_worker.h | 23 --- ...io_ray_runtime_object_NativeObjectStore.cc | 4 +- src/ray/core_worker/reference_count.cc | 10 +- .../memory_store/memory_store.cc | 27 ++-- 10 files changed, 110 insertions(+), 211 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 9151af7b7069..dbc6cbaba82f 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -793,23 +793,19 @@ def set_load_code_from_local(self, load_code_from_local): def put_object( self, value: Any, - object_ref: Optional["ray.ObjectRef"] = None, owner_address: Optional[str] = None, _is_experimental_channel: bool = False, ): - """Put value in the local object store with object reference `object_ref`. + """Put value in the local object store. - This assumes that the value for `object_ref` has not yet been placed in - the local object store. If the plasma store is full, the worker will - automatically retry up to DEFAULT_PUT_OBJECT_RETRIES times. Each - retry will delay for an exponentially doubling amount of time, + If the plasma store is full, the worker will automatically + retry up to DEFAULT_PUT_OBJECT_RETRIES times. Each retry + will delay for an exponentially doubling amount of time, starting with DEFAULT_PUT_OBJECT_DELAY. After this, exception will be raised. Args: value: The value to put in the object store. - object_ref: The object ref of the value to be - put. If None, one will be generated. owner_address: The serialized address of object's owner. _is_experimental_channel: An experimental flag for mutable objects. If True, then the returned object will not have a @@ -832,11 +828,6 @@ def put_object( "ray.ObjectRef in a list and call 'put' on it." ) - if self.mode == LOCAL_MODE: - assert ( - object_ref is None - ), "Local Mode does not support inserting with an ObjectRef" - try: serialized_value = self.get_serialization_context().serialize(value) except TypeError as e: @@ -862,7 +853,6 @@ def put_object( return ray.ObjectRef( self.core_worker.put_serialized_object_and_increment_local_ref( serialized_value, - object_ref=object_ref, pin_object=pin_object, owner_address=owner_address, _is_experimental_channel=_is_experimental_channel, diff --git a/python/ray/_raylet.pxd b/python/ray/_raylet.pxd index 153e23b8760f..a45f127a3291 100644 --- a/python/ray/_raylet.pxd +++ b/python/ray/_raylet.pxd @@ -138,14 +138,6 @@ cdef class CoreWorker: dict _task_id_to_future object event_loop_executor - cdef _create_put_buffer(self, shared_ptr[CBuffer] &metadata, - size_t data_size, ObjectRef object_ref, - c_vector[CObjectID] contained_ids, - CObjectID *c_object_id, shared_ptr[CBuffer] *data, - c_bool created_by_worker, - owner_address=*, - c_bool inline_small_object=*, - c_bool is_experimental_channel=*) cdef unique_ptr[CAddress] _convert_python_address(self, address=*) cdef store_task_output( self, serialized_object, diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 4aa0954fa9a4..8068142fdaf2 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3226,48 +3226,6 @@ cdef class CoreWorker: return has_object and (not memory_store_only or not is_in_plasma) - cdef _create_put_buffer(self, shared_ptr[CBuffer] &metadata, - size_t data_size, ObjectRef object_ref, - c_vector[CObjectID] contained_ids, - CObjectID *c_object_id, shared_ptr[CBuffer] *data, - c_bool created_by_worker, - owner_address=None, - c_bool inline_small_object=True, - c_bool is_experimental_channel=False, - ): - cdef: - unique_ptr[CAddress] c_owner_address - - c_owner_address = move(self._convert_python_address(owner_address)) - - if object_ref is None: - with nogil: - check_status(CCoreWorkerProcess.GetCoreWorker() - .CreateOwnedAndIncrementLocalRef( - is_experimental_channel, metadata, - data_size, contained_ids, - c_object_id, data, created_by_worker, - move(c_owner_address), - inline_small_object)) - else: - c_object_id[0] = object_ref.native() - if owner_address is None: - c_owner_address = make_unique[CAddress]() - dereference( - c_owner_address - ).CopyFrom(CCoreWorkerProcess.GetCoreWorker().GetRpcAddress()) - with nogil: - check_status(CCoreWorkerProcess.GetCoreWorker().CreateExisting( - metadata, data_size, c_object_id[0], - dereference(c_owner_address), data, - created_by_worker)) - - # If data is nullptr, that means the ObjectRef already existed, - # which we ignore. - # TODO(edoakes): this is hacky, we should return the error instead - # and deal with it here. - return data.get() == NULL - cdef unique_ptr[CAddress] _convert_python_address(self, address=None): """ convert python address to `CAddress`, If not provided, return nullptr. @@ -3301,8 +3259,8 @@ cdef class CoreWorker: CObjectID c_object_id = object_ref.native() shared_ptr[CBuffer] data_buf shared_ptr[CBuffer] metadata_buf - unique_ptr[CAddress] c_owner_address = move(self._convert_python_address( - object_ref.owner_address())) + unique_ptr[CAddress] c_owner_address = self._convert_python_address( + object_ref.owner_address()) # TODO(suquark): This method does not support put objects to # in memory store currently. @@ -3421,8 +3379,8 @@ cdef class CoreWorker: .ExperimentalRegisterMutableObjectReader(c_object_id)) def put_serialized_object_and_increment_local_ref( - self, serialized_object, - ObjectRef object_ref=None, + self, + serialized_object, c_bool pin_object=True, owner_address=None, c_bool inline_small_object=True, @@ -3431,59 +3389,55 @@ cdef class CoreWorker: cdef: CObjectID c_object_id shared_ptr[CBuffer] data - shared_ptr[CBuffer] metadata - unique_ptr[CAddress] c_owner_address - c_vector[CObjectID] contained_object_ids c_vector[CObjectReference] contained_object_refs - - metadata = string_to_buffer(serialized_object.metadata) - total_bytes = serialized_object.total_bytes - contained_object_ids = ObjectRefsToVector( + shared_ptr[CBuffer] metadata = string_to_buffer( + serialized_object.metadata) + unique_ptr[CAddress] c_owner_address = self._convert_python_address( + owner_address) + c_vector[CObjectID] contained_object_ids = ObjectRefsToVector( serialized_object.contained_object_refs) - object_already_exists = self._create_put_buffer( - metadata, total_bytes, object_ref, - contained_object_ids, - &c_object_id, &data, True, owner_address, inline_small_object, - _is_experimental_channel) + size_t total_bytes = serialized_object.total_bytes + + with nogil: + check_status(CCoreWorkerProcess.GetCoreWorker() + .CreateOwnedAndIncrementLocalRef( + _is_experimental_channel, + metadata, + total_bytes, + contained_object_ids, + &c_object_id, + &data, + c_owner_address, + inline_small_object)) + + if (data.get() == NULL): + # Object already exists + return c_object_id.Binary() logger.debug( f"Serialized object size of {c_object_id.Hex()} is {total_bytes} bytes") - if not object_already_exists: - if total_bytes > 0: - (serialized_object).write_to( - Buffer.make(data)) - if self.is_local_mode: - contained_object_refs = ( - CCoreWorkerProcess.GetCoreWorker(). - GetObjectRefs(contained_object_ids)) - if owner_address is not None: - raise Exception( - "cannot put data into memory store directly" - " and assign owner at the same time") - check_status(CCoreWorkerProcess.GetCoreWorker().Put( - CRayObject(data, metadata, contained_object_refs), - contained_object_ids, c_object_id)) - else: - c_owner_address = move(self._convert_python_address( - owner_address)) - with nogil: - if object_ref is None: - check_status( - CCoreWorkerProcess.GetCoreWorker().SealOwned( - c_object_id, - pin_object, - move(c_owner_address))) - else: - # Using custom object refs is not supported because we - # can't track their lifecycle, so we don't pin the - # object in this case. - check_status( - CCoreWorkerProcess.GetCoreWorker().SealExisting( - c_object_id, pin_object=False, - generator_id=CObjectID.Nil(), - owner_address=move(c_owner_address))) - + if total_bytes > 0: + (serialized_object).write_to( + Buffer.make(data)) + if self.is_local_mode: + contained_object_refs = ( + CCoreWorkerProcess.GetCoreWorker(). + GetObjectRefs(contained_object_ids)) + if owner_address is not None: + raise Exception( + "cannot put data into memory store directly" + " and assign owner at the same time") + check_status(CCoreWorkerProcess.GetCoreWorker().Put( + CRayObject(data, metadata, contained_object_refs), + contained_object_ids, c_object_id)) + else: + with nogil: + check_status( + CCoreWorkerProcess.GetCoreWorker().SealOwned( + c_object_id, + pin_object, + move(c_owner_address))) return c_object_id.Binary() def wait(self, diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 91a6837b235c..aaa8393699ac 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -259,7 +259,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: const size_t data_size, const c_vector[CObjectID] &contained_object_ids, CObjectID *object_id, shared_ptr[CBuffer] *data, - c_bool created_by_worker, const unique_ptr[CAddress] &owner_address, c_bool inline_small_object) CRayStatus CreateExisting(const shared_ptr[CBuffer] &metadata, diff --git a/python/ray/tests/test_component_failures.py b/python/ray/tests/test_component_failures.py index c194293fa9fd..47816167ee18 100644 --- a/python/ray/tests/test_component_failures.py +++ b/python/ray/tests/test_component_failures.py @@ -13,22 +13,23 @@ SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM -# This test checks that when a worker dies in the middle of a get, the plasma -# store and raylet will not die. +# This test checks that when a worker dies in the middle of a get, the raylet will not die. def test_dying_worker_get(ray_start_2_cpus): @ray.remote - def sleep_forever(signal): - ray.get(signal.send.remote()) - time.sleep(10**6) + def wait_on_signal(signal_1, signal_2): + ray.get(signal_1.send.remote()) + ray.get(signal_2.wait.remote()) + return np.ones(200 * 1024, dtype=np.uint8) @ray.remote def get_worker_pid(): return os.getpid() - signal = SignalActor.remote() + signal_1 = SignalActor.remote() + signal_2 = SignalActor.remote() - x_id = sleep_forever.remote(signal) - ray.get(signal.wait.remote()) + x_id = wait_on_signal.remote(signal_1, signal_2) + ray.get(signal_1.wait.remote()) # Get the PID of the other worker. worker_pid = ray.get(get_worker_pid.remote()) @@ -51,27 +52,28 @@ def f(id_in_a_list): # Make sure the sleep task hasn't finished. ready_ids, _ = ray.wait([x_id], timeout=0) assert len(ready_ids) == 0 - # Seal the object so the store attempts to notify the worker that the - # get has been fulfilled. - obj = np.ones(200 * 1024, dtype=np.uint8) - ray._private.worker.global_worker.put_object(obj, x_id) + + # So that we attempt to notify the worker that the object is available. + ray.get(signal_2.send.remote()) + ray.get(x_id) time.sleep(0.1) # Make sure that nothing has died. assert ray._private.services.remaining_processes_alive() -# This test checks that when a driver dies in the middle of a get, the plasma -# store and raylet will not die. +# This test checks that when a driver dies in the middle of a get, the raylet will not die. def test_dying_driver_get(ray_start_regular): # Start the Ray processes. address_info = ray_start_regular @ray.remote - def sleep_forever(): - time.sleep(10**6) + def wait_on_signal(signal): + ray.get(signal.wait.remote()) + return np.ones(200 * 1024, dtype=np.uint8) - x_id = sleep_forever.remote() + signal = SignalActor.remote() + x_id = wait_on_signal.remote(signal) driver = """ import ray @@ -94,30 +96,30 @@ def sleep_forever(): # Make sure the original task hasn't finished. ready_ids, _ = ray.wait([x_id], timeout=0) assert len(ready_ids) == 0 - # Seal the object so the store attempts to notify the worker that the - # get has been fulfilled. - obj = np.ones(200 * 1024, dtype=np.uint8) - ray._private.worker.global_worker.put_object(obj, x_id) + # So that we attempt to notify the worker that the object is available. + ray.get(signal.send.remote()) + ray.get(x_id) time.sleep(0.1) # Make sure that nothing has died. assert ray._private.services.remaining_processes_alive() -# This test checks that when a worker dies in the middle of a wait, the plasma -# store and raylet will not die. +# This test checks that when a worker dies in the middle of a wait, the raylet will not die. def test_dying_worker_wait(ray_start_2_cpus): @ray.remote - def sleep_forever(): - time.sleep(10**6) + def wait_on_signal(signal): + ray.get(signal.wait.remote()) + return np.ones(200 * 1024, dtype=np.uint8) @ray.remote def get_pid(): return os.getpid() - x_id = sleep_forever.remote() + signal = SignalActor.remote() + x_id = wait_on_signal.remote(signal) # Get the PID of the worker that block_in_wait will run on (sleep a little - # to make sure that sleep_forever has already started). + # to make sure that wait_on_signal has already started). time.sleep(0.1) worker_pid = ray.get(get_pid.remote()) @@ -133,26 +135,27 @@ def block_in_wait(object_ref_in_list): os.kill(worker_pid, SIGKILL) time.sleep(0.1) - # Create the object. - obj = np.ones(200 * 1024, dtype=np.uint8) - ray._private.worker.global_worker.put_object(obj, x_id) + # So that we attempt to notify the worker that the object is available. + ray.get(signal.send.remote()) + ray.get(x_id) time.sleep(0.1) # Make sure that nothing has died. assert ray._private.services.remaining_processes_alive() -# This test checks that when a driver dies in the middle of a wait, the plasma -# store and raylet will not die. +# This test checks that when a driver dies in the middle of a wait, the raylet will not die. def test_dying_driver_wait(ray_start_regular): # Start the Ray processes. address_info = ray_start_regular @ray.remote - def sleep_forever(): - time.sleep(10**6) + def wait_on_signal(signal): + ray.get(signal.wait.remote()) + return np.ones(200 * 1024, dtype=np.uint8) - x_id = sleep_forever.remote() + signal = SignalActor.remote() + x_id = wait_on_signal.remote(signal) driver = """ import ray @@ -175,10 +178,9 @@ def sleep_forever(): # Make sure the original task hasn't finished. ready_ids, _ = ray.wait([x_id], timeout=0) assert len(ready_ids) == 0 - # Seal the object so the store attempts to notify the worker that the - # wait can return. - obj = np.ones(200 * 1024, dtype=np.uint8) - ray._private.worker.global_worker.put_object(obj, x_id) + # So that we attempt to notify the worker that the object is available. + ray.get(signal.send.remote()) + ray.get(x_id) time.sleep(0.1) # Make sure that nothing has died. diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index a001fc5b5caf..f8922a693aa7 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1482,13 +1482,6 @@ std::vector CoreWorker::GetObjectRefs( return refs; } -void CoreWorker::GetOwnershipInfoOrDie(const ObjectID &object_id, - rpc::Address *owner_address, - std::string *serialized_object_status) { - auto status = GetOwnershipInfo(object_id, owner_address, serialized_object_status); - RAY_CHECK_OK(status); -} - Status CoreWorker::GetOwnershipInfo(const ObjectID &object_id, rpc::Address *owner_address, std::string *serialized_object_status) { @@ -1618,7 +1611,6 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( const std::vector &contained_object_ids, ObjectID *object_id, std::shared_ptr *data, - bool created_by_worker, const std::unique_ptr &owner_address, bool inline_small_object) { auto status = WaitForActorRegistered(contained_object_ids); @@ -1687,7 +1679,7 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( *object_id, /* owner_address = */ real_owner_address, data, - created_by_worker, + /*created_by_worker=*/true, is_experimental_mutable_object); } if (!status.ok()) { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index ad93fcea9c55..00f993b7f4fe 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -422,27 +422,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { rpc::Address *owner_address, std::string *serialized_object_status); - /// Get the owner information of an object. This should be - /// called when serializing an object ID, and the returned information should - /// be stored with the serialized object ID. If the ownership of the object - /// cannot be established, then we terminate the process. - /// - /// This can only be called on object IDs that we created via task - /// submission, ray.put, or object IDs that we deserialized. It cannot be - /// called on object IDs that were created randomly, e.g., - /// ObjectID::FromRandom. - /// - /// Postcondition: Get(object_id) is valid. - /// - /// \param[in] object_id The object ID to serialize. - /// appended to the serialized object ID. - /// \param[out] owner_address The address of the object's owner. This should - /// be appended to the serialized object ID. - /// \param[out] serialized_object_status The serialized object status protobuf. - void GetOwnershipInfoOrDie(const ObjectID &object_id, - rpc::Address *owner_address, - std::string *serialized_object_status); - /// Add a reference to an ObjectID that was deserialized by the language /// frontend. This will also start the process to resolve the future. /// Specifically, we will periodically contact the owner, until we learn that @@ -508,7 +487,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// \param[in] contained_object_ids The IDs serialized in this object. /// \param[out] object_id Object ID generated for the put. /// \param[out] data Buffer for the user to write the object into. - /// \param[in] created_by_worker create by worker or not. /// \param[in] owner_address The address of object's owner. If not provided, /// defaults to this worker. /// \param[in] inline_small_object Whether to inline create this object if it's @@ -521,7 +499,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { const std::vector &contained_object_ids, ObjectID *object_id, std::shared_ptr *data, - bool created_by_worker, const std::unique_ptr &owner_address = nullptr, bool inline_small_object = true); diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc index 65c00158bc83..e83a3773f184 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc @@ -53,7 +53,6 @@ Status PutSerializedObject(JNIEnv *env, nested_ids, out_object_id, &data, - /*created_by_worker=*/true, /*owner_address=*/owner_address); } else { status = CoreWorkerProcess::GetCoreWorker().CreateExisting( @@ -239,8 +238,9 @@ Java_io_ray_runtime_object_NativeObjectStore_nativeGetOwnershipInfo(JNIEnv *env, rpc::Address address; // TODO(ekl) send serialized object status to Java land. std::string serialized_object_status; - CoreWorkerProcess::GetCoreWorker().GetOwnershipInfoOrDie( + auto status = CoreWorkerProcess::GetCoreWorker().GetOwnershipInfo( object_id, &address, &serialized_object_status); + RAY_CHECK_OK(status); auto address_str = address.SerializeAsString(); auto arr = NativeStringToJavaByteArray(env, address_str); return arr; diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index ccd8b2366b31..60c2039c5c4d 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -319,7 +319,7 @@ bool ReferenceCounter::AddOwnedObjectInternal( bool add_local_ref, const std::optional &pinned_at_raylet_id, rpc::TensorTransport tensor_transport) { - if (object_id_refs_.count(object_id) != 0) { + if (object_id_refs_.contains(object_id)) { return false; } if (ObjectID::IsActorID(object_id)) { @@ -642,12 +642,12 @@ std::vector ReferenceCounter::GetOwnerAddresses( bool ReferenceCounter::IsPlasmaObjectFreed(const ObjectID &object_id) const { absl::MutexLock lock(&mutex_); - return freed_objects_.find(object_id) != freed_objects_.end(); + return freed_objects_.contains(object_id); } bool ReferenceCounter::TryMarkFreedObjectInUseAgain(const ObjectID &object_id) { absl::MutexLock lock(&mutex_); - if (object_id_refs_.count(object_id) == 0) { + if (!object_id_refs_.contains(object_id)) { return false; } return freed_objects_.erase(object_id) != 0u; @@ -815,7 +815,7 @@ bool ReferenceCounter::AddObjectOutOfScopeOrFreedCallback( // The object has already gone out of scope but cannot be deleted yet. Do // not set the deletion callback because it may never get called. return false; - } else if (freed_objects_.count(object_id) > 0) { + } else if (freed_objects_.contains(object_id)) { // The object has been freed by the language frontend, so it // should be deleted immediately. return false; @@ -852,7 +852,7 @@ void ReferenceCounter::UpdateObjectPinnedAtRaylet(const ObjectID &object_id, absl::MutexLock lock(&mutex_); auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { - if (freed_objects_.count(object_id) > 0) { + if (freed_objects_.contains(object_id)) { // The object has been freed by the language frontend. return; } diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index 24ffc6ca079a..c55b6013ee92 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -149,24 +149,17 @@ CoreWorkerMemoryStore::CoreWorkerMemoryStore( void CoreWorkerMemoryStore::GetAsync( const ObjectID &object_id, std::function)> callback) { - std::shared_ptr ptr; - { - absl::MutexLock lock(&mu_); - auto iter = objects_.find(object_id); - if (iter != objects_.end()) { - ptr = iter->second; - } else { - object_async_get_requests_[object_id].push_back(callback); - } - if (ptr != nullptr) { - ptr->SetAccessed(); - } - } - // It's important for performance to run the callback outside the lock. - if (ptr != nullptr) { - io_context_.post([callback = std::move(callback), ptr]() { callback(ptr); }, - "CoreWorkerMemoryStore.GetAsync.Callback"); + absl::MutexLock lock(&mu_); + auto iter = objects_.find(object_id); + if (iter == objects_.end()) { + object_async_get_requests_[object_id].push_back(std::move(callback)); + return; } + auto &object_ptr = iter->second; + object_ptr->SetAccessed(); + io_context_.post( + [callback = std::move(callback), object_ptr]() { callback(object_ptr); }, + "CoreWorkerMemoryStore.GetAsync.Callback"); } std::shared_ptr CoreWorkerMemoryStore::GetIfExists(const ObjectID &object_id) { From a0e3189fa08204d4ffd2ae3dc8ba72fee41cc0dc Mon Sep 17 00:00:00 2001 From: Dongjun Na Date: Fri, 18 Jul 2025 13:06:09 +0900 Subject: [PATCH 0263/1566] [core][autoscaler][v1] add heartbeat timeout logic to determine node activity status (#54030) Signed-off-by: Dongjun Na Co-authored-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/autoscaler.py | 6 +-- .../ray/autoscaler/_private/load_metrics.py | 3 -- python/ray/tests/test_autoscaler.py | 51 ++++++++++++++++++- 3 files changed, 51 insertions(+), 9 deletions(-) diff --git a/python/ray/autoscaler/_private/autoscaler.py b/python/ray/autoscaler/_private/autoscaler.py index 7d1759d22f64..e352479b9308 100644 --- a/python/ray/autoscaler/_private/autoscaler.py +++ b/python/ray/autoscaler/_private/autoscaler.py @@ -1444,7 +1444,7 @@ def summary(self) -> Optional[AutoscalerSummary]: non_failed = set() node_type_mapping = {} - + now = time.time() for node_id in self.non_terminated_nodes.all_node_ids: ip = self.provider.internal_ip(node_id) node_tags = self.provider.node_tags(node_id) @@ -1467,9 +1467,7 @@ def summary(self) -> Optional[AutoscalerSummary]: node_type_mapping[ip] = node_type - # TODO (Alex): If a node's raylet has died, it shouldn't be marked - # as active. - is_active = self.load_metrics.is_active(ip) + is_active = self.heartbeat_on_time(node_id, now) if is_active: active_nodes[node_type] += 1 non_failed.add(node_id) diff --git a/python/ray/autoscaler/_private/load_metrics.py b/python/ray/autoscaler/_private/load_metrics.py index 07192084d89b..2e083730aa30 100644 --- a/python/ray/autoscaler/_private/load_metrics.py +++ b/python/ray/autoscaler/_private/load_metrics.py @@ -132,9 +132,6 @@ def mark_active(self, ip): logger.debug("Node {} is newly setup, treating as active".format(ip)) self.last_heartbeat_time_by_ip[ip] = time.time() - def is_active(self, ip): - return ip in self.last_heartbeat_time_by_ip - def prune_active_ips(self, active_ips: List[str]): """The Raylet ips stored by LoadMetrics are obtained by polling the GCS in Monitor.update_load_metrics(). diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index 084ae1645fbf..312c7fdcb17f 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -3620,9 +3620,7 @@ def testScaleDownIdleTimeOut(self): worker_ip = self.provider.non_terminated_node_ips(WORKER_FILTER)[0] # Mark the node as idle lm.update(worker_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 1}, 20) - assert lm.is_active(worker_ip) autoscaler.update() - assert not lm.is_active(worker_ip) assert self.provider.internal_ip("1") == worker_ip events = autoscaler.event_summarizer.summary() assert "Removing 1 nodes of type worker (idle)." in events, events @@ -3824,6 +3822,55 @@ def testRecoverUnhealthyWorkersWithNodeSpecificDocker(self): ) assert "--gpus=all" in updater.docker_config.get("worker_run_options") + def test_node_becomes_inactive_after_heartbeat_timeout(self): + cluster_config = copy.deepcopy(MOCK_DEFAULT_CONFIG) + cluster_config["available_node_types"]["ray.worker.default"]["min_workers"] = 1 + cluster_config["worker_start_ray_commands"] = ["ray_start_cmd"] + + cluster_config["head_node_type"] = ["ray.worker.default"] + del cluster_config["available_node_types"]["ray.head.default"] + del cluster_config["docker"] + + config_path = self.write_config(cluster_config) + + self.provider = MockProvider() + runner = MockProcessRunner() + lm = LoadMetrics() + mock_gcs_client = MockGcsClient() + autoscaler = MockAutoscaler( + config_path, + lm, + mock_gcs_client, + max_failures=0, + process_runner=runner, + update_interval_s=0, + ) + + autoscaler.update() + self.waitForNodes(1, tag_filters=WORKER_FILTER) + self.provider.finish_starting_nodes() + autoscaler.update() + self.waitForNodes( + 1, tag_filters={TAG_RAY_NODE_STATUS: STATUS_UP_TO_DATE, **WORKER_FILTER} + ) + + self.waitForUpdatersToFinish(autoscaler) + autoscaler.update() + + assert not autoscaler.updaters + + worker_ip = self.provider.non_terminated_node_ips(WORKER_FILTER)[0] + now = time.time() + past_heartbeat = now - AUTOSCALER_HEARTBEAT_TIMEOUT_S - 1 + lm.last_heartbeat_time_by_ip[worker_ip] = past_heartbeat + + autoscaler.update() + self.waitForNodes( + 1, tag_filters={TAG_RAY_NODE_STATUS: STATUS_UP_TO_DATE, **WORKER_FILTER} + ) + events = autoscaler.summary() + assert events.failed_nodes == [("172.0.0.0", "ray.worker.default")] + def test_import(): """This test ensures that all the autoscaler imports work as expected to From 8307293820226c2a796b42389252a0a12e3864d6 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 18 Jul 2025 01:58:52 -0700 Subject: [PATCH 0264/1566] [core] Remove gcs_client status return when always ok (#54721) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/includes/common.pxd | 26 +- python/ray/includes/gcs_client.pxi | 166 ++- src/mock/ray/core_worker/actor_creator.h | 8 +- src/mock/ray/gcs/gcs_client/accessor.h | 72 +- src/ray/core_worker/actor_creator.h | 49 +- src/ray/core_worker/core_worker.cc | 27 +- src/ray/core_worker/task_event_buffer.cc | 4 +- .../core_worker/test/actor_creator_test.cc | 10 +- .../test/dependency_resolver_test.cc | 26 +- .../test/direct_actor_transport_mock_test.cc | 16 +- .../test/normal_task_submitter_test.cc | 26 +- .../transport/actor_task_submitter.cc | 12 +- src/ray/gcs/gcs_client/accessor.cc | 293 ++---- src/ray/gcs/gcs_client/accessor.h | 232 ++--- .../gcs/gcs_client/global_state_accessor.cc | 86 +- .../gcs/gcs_client/test/gcs_client_test.cc | 58 +- .../test/global_state_accessor_test.cc | 20 +- .../gcs_server/test/gcs_server_test_util.h | 13 +- .../test/ownership_object_directory_test.cc | 24 +- src/ray/raylet/main.cc | 941 +++++++++--------- src/ray/raylet/node_manager.cc | 19 +- src/ray/raylet/test/node_manager_test.cc | 9 +- src/ray/raylet/worker_pool.cc | 2 +- 23 files changed, 969 insertions(+), 1170 deletions(-) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index c57822da5660..42dc22cb3b1d 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -405,14 +405,14 @@ cdef extern from "ray/gcs/gcs_client/python_callbacks.h" namespace "ray::gcs": cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: cdef cppclass CActorInfoAccessor "ray::gcs::ActorInfoAccessor": - CRayStatus AsyncGetAllByFilter( + void AsyncGetAllByFilter( const optional[CActorID] &actor_id, const optional[CJobID] &job_id, const optional[c_string] &actor_state_name, const MultiItemPyCallback[CActorTableData] &callback, int64_t timeout_ms) - CRayStatus AsyncKillActor(const CActorID &actor_id, + void AsyncKillActor(const CActorID &actor_id, c_bool force_kill, c_bool no_restart, const StatusPyCallback &callback, @@ -426,7 +426,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: c_vector[CJobTableData] &result, int64_t timeout_ms) - CRayStatus AsyncGetAll( + void AsyncGetAll( const optional[c_string] &job_or_submission_id, c_bool skip_submission_job_info_field, c_bool skip_is_running_tasks_field, @@ -439,7 +439,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: int64_t timeout_ms, c_vector[c_bool] &result) - CRayStatus AsyncCheckAlive( + void AsyncCheckAlive( const c_vector[c_string] &raylet_addresses, int64_t timeout_ms, const MultiItemPyCallback[c_bool] &callback) @@ -453,7 +453,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: int64_t timeout_ms, c_vector[CGcsNodeInfo] &result) - CRayStatus AsyncGetAll( + void AsyncGetAll( const MultiItemPyCallback[CGcsNodeInfo] &callback, int64_t timeout_ms, optional[CNodeID] node_id) @@ -503,25 +503,25 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: int64_t timeout_ms, c_bool &exists) - CRayStatus AsyncInternalKVKeys( + void AsyncInternalKVKeys( const c_string &ns, const c_string &prefix, int64_t timeout_ms, const OptionalItemPyCallback[c_vector[c_string]] &callback) - CRayStatus AsyncInternalKVGet( + void AsyncInternalKVGet( const c_string &ns, const c_string &key, int64_t timeout_ms, const OptionalItemPyCallback[c_string] &callback) - CRayStatus AsyncInternalKVMultiGet( + void AsyncInternalKVMultiGet( const c_string &ns, const c_vector[c_string] &keys, int64_t timeout_ms, const OptionalItemPyCallback[unordered_map[c_string, c_string]] &callback) - CRayStatus AsyncInternalKVPut( + void AsyncInternalKVPut( const c_string &ns, const c_string &key, const c_string &value, @@ -529,13 +529,13 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: int64_t timeout_ms, const OptionalItemPyCallback[c_bool] &callback) - CRayStatus AsyncInternalKVExists( + void AsyncInternalKVExists( const c_string &ns, const c_string &key, int64_t timeout_ms, const OptionalItemPyCallback[c_bool] &callback) - CRayStatus AsyncInternalKVDel( + void AsyncInternalKVDel( const c_string &ns, const c_string &key, c_bool del_by_prefix, @@ -566,7 +566,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: c_string &serialized_reply ) - CRayStatus AsyncGetClusterStatus( + void AsyncGetClusterStatus( int64_t timeout_ms, const OptionalItemPyCallback[CGetClusterStatusReply] &callback) @@ -601,7 +601,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: CLogBatch data, int64_t timeout_ms) - CRayStatus AsyncPublishNodeResourceUsage( + void AsyncPublishNodeResourceUsage( c_string key_id, c_string node_resource_usage, const StatusPyCallback &callback diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 8cc067c95a3c..42843fe8c7d5 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -180,13 +180,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVGet( - ns, key, timeout_ms, - OptionalItemPyCallback[c_string]( - &convert_optional_str_none_for_not_found, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVGet( + ns, key, timeout_ms, + OptionalItemPyCallback[c_string]( + &convert_optional_str_none_for_not_found, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def async_internal_kv_multi_get( @@ -198,13 +197,12 @@ cdef class InnerGcsClient: c_vector[c_string] c_keys = [key for key in keys] fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVMultiGet( - ns, c_keys, timeout_ms, - OptionalItemPyCallback[unordered_map[c_string, c_string]]( - &convert_optional_multi_get, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVMultiGet( + ns, c_keys, timeout_ms, + OptionalItemPyCallback[unordered_map[c_string, c_string]]( + &convert_optional_multi_get, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def async_internal_kv_put( @@ -216,13 +214,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVPut( - ns, key, value, overwrite, timeout_ms, - OptionalItemPyCallback[c_bool]( - &convert_optional_bool, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVPut( + ns, key, value, overwrite, timeout_ms, + OptionalItemPyCallback[c_bool]( + &convert_optional_bool, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def async_internal_kv_del(self, c_string key, c_bool del_by_prefix, @@ -232,13 +229,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVDel( - ns, key, del_by_prefix, timeout_ms, - OptionalItemPyCallback[int]( - &convert_optional_int, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVDel( + ns, key, del_by_prefix, timeout_ms, + OptionalItemPyCallback[int]( + &convert_optional_int, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def async_internal_kv_keys(self, c_string prefix, namespace=None, timeout=None @@ -248,13 +244,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVKeys( - ns, prefix, timeout_ms, - OptionalItemPyCallback[c_vector[c_string]]( - &convert_optional_vector_str, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVKeys( + ns, prefix, timeout_ms, + OptionalItemPyCallback[c_vector[c_string]]( + &convert_optional_vector_str, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def async_internal_kv_exists(self, c_string key, namespace=None, timeout=None @@ -264,13 +259,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().InternalKV().AsyncInternalKVExists( - ns, key, timeout_ms, - OptionalItemPyCallback[c_bool]( - &convert_optional_bool, - assign_and_decrement_fut, - fut))) + self.inner.get().InternalKV().AsyncInternalKVExists( + ns, key, timeout_ms, + OptionalItemPyCallback[c_bool]( + &convert_optional_bool, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) ############################################################# @@ -297,13 +291,12 @@ cdef class InnerGcsClient: c_vector[c_string] c_node_ips = [ip for ip in node_ips] fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Nodes().AsyncCheckAlive( - c_node_ips, timeout_ms, - MultiItemPyCallback[c_bool]( - &convert_multi_bool, - assign_and_decrement_fut, - fut))) + self.inner.get().Nodes().AsyncCheckAlive( + c_node_ips, timeout_ms, + MultiItemPyCallback[c_bool]( + &convert_multi_bool, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def drain_nodes( @@ -342,14 +335,13 @@ cdef class InnerGcsClient: if node_id: c_node_id = (node_id).native() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Nodes().AsyncGetAll( - MultiItemPyCallback[CGcsNodeInfo]( - convert_get_all_node_info, - assign_and_decrement_fut, - fut), - timeout_ms, - c_node_id)) + self.inner.get().Nodes().AsyncGetAll( + MultiItemPyCallback[CGcsNodeInfo]( + convert_get_all_node_info, + assign_and_decrement_fut, + fut), + timeout_ms, + c_node_id) return asyncio.wrap_future(fut) ############################################################# @@ -397,14 +389,13 @@ cdef class InnerGcsClient: c_actor_state_name = actor_state_name.encode() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Actors().AsyncGetAllByFilter( - c_actor_id, c_job_id, c_actor_state_name, - MultiItemPyCallback[CActorTableData]( - &convert_get_all_actor_info, - assign_and_decrement_fut, - fut), - timeout_ms)) + self.inner.get().Actors().AsyncGetAllByFilter( + c_actor_id, c_job_id, c_actor_state_name, + MultiItemPyCallback[CActorTableData]( + &convert_get_all_actor_info, + assign_and_decrement_fut, + fut), + timeout_ms) return asyncio.wrap_future(fut) def async_kill_actor( @@ -474,16 +465,15 @@ cdef class InnerGcsClient: c_optional_job_or_submission_id = \ make_optional[c_string](c_job_or_submission_id) with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Jobs().AsyncGetAll( - c_optional_job_or_submission_id, - c_skip_submission_job_info_field, - c_skip_is_running_tasks_field, - MultiItemPyCallback[CJobTableData]( - &convert_get_all_job_info, - assign_and_decrement_fut, - fut), - timeout_ms)) + self.inner.get().Jobs().AsyncGetAll( + c_optional_job_or_submission_id, + c_skip_submission_job_info_field, + c_skip_is_running_tasks_field, + MultiItemPyCallback[CJobTableData]( + &convert_get_all_job_info, + assign_and_decrement_fut, + fut), + timeout_ms) return asyncio.wrap_future(fut) ############################################################# @@ -555,18 +545,12 @@ cdef class InnerGcsClient: int64_t timeout_ms = round(1000 * timeout_s) if timeout_s else -1 fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get() - .Autoscaler() - .AsyncGetClusterStatus( - timeout_ms, - OptionalItemPyCallback[CGetClusterStatusReply]( - &convert_get_cluster_status_reply, - assign_and_decrement_fut, - fut - ) - ) - ) + self.inner.get().Autoscaler().AsyncGetClusterStatus( + timeout_ms, + OptionalItemPyCallback[CGetClusterStatusReply]( + &convert_get_cluster_status_reply, + assign_and_decrement_fut, + fut)) return asyncio.wrap_future(fut) def report_autoscaling_state( @@ -662,10 +646,10 @@ cdef class InnerGcsClient: c_string c_node_resource_usage_json = node_resource_usage_json.encode() fut = incremented_fut() with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Publisher().AsyncPublishNodeResourceUsage( - move(c_key_id), move(c_node_resource_usage_json), - StatusPyCallback(convert_status, assign_and_decrement_fut, fut))) + self.inner.get().Publisher().AsyncPublishNodeResourceUsage( + move(c_key_id), + move(c_node_resource_usage_json), + StatusPyCallback(convert_status, assign_and_decrement_fut, fut)) return asyncio.wrap_future(fut) def report_cluster_config( diff --git a/src/mock/ray/core_worker/actor_creator.h b/src/mock/ray/core_worker/actor_creator.h index f9064a2bca5e..95deb2808a5a 100644 --- a/src/mock/ray/core_worker/actor_creator.h +++ b/src/mock/ray/core_worker/actor_creator.h @@ -23,22 +23,22 @@ class MockActorCreatorInterface : public ActorCreatorInterface { RegisterActor, (const TaskSpecification &task_spec), (const, override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncRegisterActor, (const TaskSpecification &task_spec, gcs::StatusCallback callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncCreateActor, (const TaskSpecification &task_spec, const rpc::ClientCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncRestartActorForLineageReconstruction, (const ActorID &actor_id, uint64_t num_restarts, gcs::StatusCallback callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncReportActorOutOfScope, (const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstruction, diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index 937921065b40..1f7d6c0b354f 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -20,12 +20,12 @@ namespace gcs { class MockActorInfoAccessor : public ActorInfoAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const ActorID &actor_id, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAllByFilter, (const std::optional &actor_id, const std::optional &job_id, @@ -33,21 +33,14 @@ class MockActorInfoAccessor : public ActorInfoAccessor { const MultiItemCallback &callback, int64_t timeout_ms), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetByName, (const std::string &name, const std::string &ray_namespace, const OptionalItemCallback &callback, int64_t timeout_ms), (override)); - MOCK_METHOD(Status, - AsyncListNamedActors, - (bool all_namespaces, - const std::string &ray_namespace, - const OptionalItemCallback> &callback, - int64_t timeout_ms), - (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncRegisterActor, (const TaskSpecification &task_spec, const StatusCallback &callback, @@ -57,7 +50,7 @@ class MockActorInfoAccessor : public ActorInfoAccessor { SyncRegisterActor, (const TaskSpecification &task_spec), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncKillActor, (const ActorID &actor_id, bool force_kill, @@ -65,7 +58,7 @@ class MockActorInfoAccessor : public ActorInfoAccessor { const StatusCallback &callback, int64_t timeout_ms), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncCreateActor, (const TaskSpecification &task_spec, const rpc::ClientCallback &callback), @@ -89,12 +82,12 @@ namespace gcs { class MockJobInfoAccessor : public JobInfoAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncAdd, (const std::shared_ptr &data_ptr, const StatusCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncMarkFinished, (const JobID &job_id, const StatusCallback &callback), (override)); @@ -103,7 +96,7 @@ class MockJobInfoAccessor : public JobInfoAccessor { ((const SubscribeCallback &subscribe), const StatusCallback &done), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const std::optional &job_or_submission_id, bool skip_submission_job_info_field, @@ -112,10 +105,7 @@ class MockJobInfoAccessor : public JobInfoAccessor { int64_t timeout_ms), (override)); MOCK_METHOD(void, AsyncResubscribe, (), (override)); - MOCK_METHOD(Status, - AsyncGetNextJobID, - (const ItemCallback &callback), - (override)); + MOCK_METHOD(void, AsyncGetNextJobID, (const ItemCallback &callback), (override)); }; } // namespace gcs @@ -132,21 +122,21 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { (override)); MOCK_METHOD(const NodeID &, GetSelfId, (), (const, override)); MOCK_METHOD(const rpc::GcsNodeInfo &, GetSelfInfo, (), (const, override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncRegister, (const rpc::GcsNodeInfo &node_info, const StatusCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncCheckSelfAlive, (const std::function &callback, int64_t timeout_ms), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncCheckAlive, (const std::vector &raylet_addresses, int64_t timeout_ms, const MultiItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const MultiItemCallback &callback, int64_t timeout_ms, @@ -183,12 +173,12 @@ namespace gcs { class MockNodeResourceInfoAccessor : public NodeResourceInfoAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAllAvailableResources, (const MultiItemCallback &callback), (override)); MOCK_METHOD(void, AsyncResubscribe, (), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAllResourceUsage, (const ItemCallback &callback), (override)); @@ -202,7 +192,7 @@ namespace gcs { class MockErrorInfoAccessor : public ErrorInfoAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncReportJobError, (const std::shared_ptr &data_ptr, const StatusCallback &callback), @@ -217,7 +207,7 @@ namespace gcs { class MockTaskInfoAccessor : public TaskInfoAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncAddTaskEventData, (std::unique_ptr data_ptr, StatusCallback callback), (override)); @@ -236,21 +226,21 @@ class MockWorkerInfoAccessor : public WorkerInfoAccessor { (const ItemCallback &subscribe, const StatusCallback &done), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncReportWorkerFailure, (const std::shared_ptr &data_ptr, const StatusCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const WorkerID &worker_id, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const MultiItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncAdd, (const std::shared_ptr &data_ptr, const StatusCallback &callback), @@ -270,19 +260,19 @@ class MockPlacementGroupInfoAccessor : public PlacementGroupInfoAccessor { SyncCreatePlacementGroup, (const PlacementGroupSpecification &placement_group_spec), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const PlacementGroupID &placement_group_id, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetByName, (const std::string &placement_group_name, const std::string &ray_namespace, const OptionalItemCallback &callback, int64_t timeout_ms), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const MultiItemCallback &callback), (override)); @@ -304,21 +294,21 @@ namespace gcs { class MockInternalKVAccessor : public InternalKVAccessor { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncInternalKVKeys, (const std::string &ns, const std::string &prefix, const int64_t timeout_ms, const OptionalItemCallback> &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncInternalKVGet, (const std::string &ns, const std::string &key, const int64_t timeout_ms, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncInternalKVPut, (const std::string &ns, const std::string &key, @@ -327,14 +317,14 @@ class MockInternalKVAccessor : public InternalKVAccessor { const int64_t timeout_ms, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncInternalKVExists, (const std::string &ns, const std::string &key, const int64_t timeout_ms, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncInternalKVDel, (const std::string &ns, const std::string &key, @@ -342,7 +332,7 @@ class MockInternalKVAccessor : public InternalKVAccessor { const int64_t timeout_ms, const OptionalItemCallback &callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetInternalConfig, (const OptionalItemCallback &callback), (override)); diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index 1b9079645523..84bbd0479a5d 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -37,16 +37,15 @@ class ActorCreatorInterface { /// \param task_spec The specification for the actor creation task. /// \param callback Callback that will be called after the actor info is registered to /// GCS - /// \return Status - virtual Status AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) = 0; + virtual void AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) = 0; - virtual Status AsyncRestartActorForLineageReconstruction( + virtual void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, gcs::StatusCallback callback) = 0; - virtual Status AsyncReportActorOutOfScope( + virtual void AsyncReportActorOutOfScope( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, gcs::StatusCallback callback) = 0; @@ -55,8 +54,7 @@ class ActorCreatorInterface { /// /// \param task_spec The specification for the actor creation task. /// \param callback Callback that will be called after the actor info is written to GCS. - /// \return Status - virtual Status AsyncCreateActor( + virtual void AsyncCreateActor( const TaskSpecification &task_spec, const rpc::ClientCallback &callback) = 0; @@ -91,36 +89,35 @@ class DefaultActorCreator : public ActorCreatorInterface { return status; } - Status AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override { + void AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) override { auto actor_id = task_spec.ActorCreationId(); (*registering_actors_)[actor_id] = {}; if (callback != nullptr) { (*registering_actors_)[actor_id].emplace_back(std::move(callback)); } - return gcs_client_->Actors().AsyncRegisterActor( - task_spec, [actor_id, this](Status status) { - std::vector cbs; - cbs = std::move((*registering_actors_)[actor_id]); - registering_actors_->erase(actor_id); - for (auto &cb : cbs) { - cb(status); - } - }); + gcs_client_->Actors().AsyncRegisterActor(task_spec, [actor_id, this](Status status) { + std::vector cbs; + cbs = std::move((*registering_actors_)[actor_id]); + registering_actors_->erase(actor_id); + for (auto &cb : cbs) { + cb(status); + } + }); } - Status AsyncRestartActorForLineageReconstruction( + void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, gcs::StatusCallback callback) override { - return gcs_client_->Actors().AsyncRestartActorForLineageReconstruction( + gcs_client_->Actors().AsyncRestartActorForLineageReconstruction( actor_id, num_restarts_due_to_lineage_reconstructions, callback); } - Status AsyncReportActorOutOfScope(const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override { - return gcs_client_->Actors().AsyncReportActorOutOfScope( + void AsyncReportActorOutOfScope(const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstruction, + gcs::StatusCallback callback) override { + gcs_client_->Actors().AsyncReportActorOutOfScope( actor_id, num_restarts_due_to_lineage_reconstruction, callback); } @@ -135,10 +132,10 @@ class DefaultActorCreator : public ActorCreatorInterface { iter->second.emplace_back(std::move(callback)); } - Status AsyncCreateActor( + void AsyncCreateActor( const TaskSpecification &task_spec, const rpc::ClientCallback &callback) override { - return gcs_client_->Actors().AsyncCreateActor(task_spec, callback); + gcs_client_->Actors().AsyncCreateActor(task_spec, callback); } private: diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index f8922a693aa7..fbde8d6aff57 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1343,7 +1343,7 @@ void CoreWorker::RegisterToGcs(int64_t worker_launch_time_ms, worker_data->set_worker_launch_time_ms(worker_launch_time_ms); worker_data->set_worker_launched_time_ms(worker_launched_time_ms); - RAY_CHECK_OK(gcs_client_->Workers().AsyncAdd(worker_data, nullptr)); + gcs_client_->Workers().AsyncAdd(worker_data, nullptr); } void CoreWorker::ExitIfParentRayletDies() { @@ -2759,17 +2759,16 @@ Status CoreWorker::CreateActor(const RayFunction &function, if (actor_name.empty()) { io_service_.post( [this, task_spec = std::move(task_spec)]() { - RAY_UNUSED(actor_creator_->AsyncRegisterActor( - task_spec, [this, task_spec](Status status) { - if (!status.ok()) { - RAY_LOG(ERROR).WithField(task_spec.ActorCreationId()) - << "Failed to register actor. Error message: " << status; - task_manager_->FailPendingTask( - task_spec.TaskId(), rpc::ErrorType::ACTOR_CREATION_FAILED, &status); - } else { - RAY_UNUSED(actor_task_submitter_->SubmitActorCreationTask(task_spec)); - } - })); + actor_creator_->AsyncRegisterActor(task_spec, [this, task_spec](Status status) { + if (!status.ok()) { + RAY_LOG(ERROR).WithField(task_spec.ActorCreationId()) + << "Failed to register actor. Error message: " << status; + task_manager_->FailPendingTask( + task_spec.TaskId(), rpc::ErrorType::ACTOR_CREATION_FAILED, &status); + } else { + RAY_UNUSED(actor_task_submitter_->SubmitActorCreationTask(task_spec)); + } + }); }, "ActorCreator.AsyncRegisterActor"); } else { @@ -3071,8 +3070,8 @@ Status CoreWorker::KillActor(const ActorID &actor_id, bool force_kill, bool no_r [this, p = &p, actor_id, force_kill, no_restart]() { auto cb = [this, p, actor_id, force_kill, no_restart](Status status) mutable { if (status.ok()) { - RAY_CHECK_OK(gcs_client_->Actors().AsyncKillActor( - actor_id, force_kill, no_restart, nullptr)); + gcs_client_->Actors().AsyncKillActor( + actor_id, force_kill, no_restart, nullptr); } p->set_value(std::move(status)); }; diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 02ecb4931cfc..560d808a282b 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -568,9 +568,7 @@ void TaskEventBufferImpl::FlushEvents(bool forced) { } grpc_in_progress_ = false; }; - - auto status = task_accessor->AsyncAddTaskEventData(std::move(data), on_complete); - RAY_CHECK_OK(status); + task_accessor->AsyncAddTaskEventData(std::move(data), on_complete); } void TaskEventBufferImpl::ResetCountersForFlush() { diff --git a/src/ray/core_worker/test/actor_creator_test.cc b/src/ray/core_worker/test/actor_creator_test.cc index 12a7f43006dd..f4f5184b8738 100644 --- a/src/ray/core_worker/test/actor_creator_test.cc +++ b/src/ray/core_worker/test/actor_creator_test.cc @@ -51,9 +51,8 @@ TEST_F(ActorCreatorTest, IsRegister) { std::function cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncRegisterActor(task_spec, ::testing::_, ::testing::_)) - .WillOnce( - ::testing::DoAll(::testing::SaveArg<1>(&cb), ::testing::Return(Status::OK()))); - ASSERT_TRUE(actor_creator->AsyncRegisterActor(task_spec, nullptr).ok()); + .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&cb))); + actor_creator->AsyncRegisterActor(task_spec, nullptr); ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); cb(Status::OK()); ASSERT_FALSE(actor_creator->IsActorInRegistering(actor_id)); @@ -65,14 +64,13 @@ TEST_F(ActorCreatorTest, AsyncWaitForFinish) { std::function cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncRegisterActor(::testing::_, ::testing::_, ::testing::_)) - .WillRepeatedly( - ::testing::DoAll(::testing::SaveArg<1>(&cb), ::testing::Return(Status::OK()))); + .WillRepeatedly(::testing::DoAll(::testing::SaveArg<1>(&cb))); int cnt = 0; auto per_finish_cb = [&cnt](Status status) { ASSERT_TRUE(status.ok()); cnt++; }; - ASSERT_TRUE(actor_creator->AsyncRegisterActor(task_spec, per_finish_cb).ok()); + actor_creator->AsyncRegisterActor(task_spec, per_finish_cb); ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); for (int i = 0; i < 100; ++i) { actor_creator->AsyncWaitForActorRegisterFinish(actor_id, per_finish_cb); diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index 1f9194c384d4..eaf6af1fc6c3 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -143,29 +143,21 @@ class MockActorCreator : public ActorCreatorInterface { return Status::OK(); }; - Status AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override { - return Status::OK(); - } + void AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) override {} - Status AsyncCreateActor( + void AsyncCreateActor( const TaskSpecification &task_spec, - const rpc::ClientCallback &callback) override { - return Status::OK(); - } + const rpc::ClientCallback &callback) override {} - Status AsyncRestartActorForLineageReconstruction( + void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, - gcs::StatusCallback callback) override { - return Status::OK(); - } + gcs::StatusCallback callback) override {} - Status AsyncReportActorOutOfScope(const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override { - return Status::OK(); - } + void AsyncReportActorOutOfScope(const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstruction, + gcs::StatusCallback callback) override {} void AsyncWaitForActorRegisterFinish(const ActorID &, gcs::StatusCallback callback) override { diff --git a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc index bd149d908420..8177ea557e6a 100644 --- a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc +++ b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc @@ -99,8 +99,7 @@ TEST_F(DirectTaskTransportTest, ActorCreationOk) { rpc::ClientCallback create_cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncCreateActor(creation_task_spec, ::testing::_)) - .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb), - ::testing::Return(Status::OK()))); + .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb))); ASSERT_TRUE(actor_task_submitter->SubmitActorCreationTask(creation_task_spec).ok()); create_cb(Status::OK(), rpc::CreateActorReply()); } @@ -116,8 +115,7 @@ TEST_F(DirectTaskTransportTest, ActorCreationFail) { rpc::ClientCallback create_cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncCreateActor(creation_task_spec, ::testing::_)) - .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb), - ::testing::Return(Status::OK()))); + .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb))); ASSERT_TRUE(actor_task_submitter->SubmitActorCreationTask(creation_task_spec).ok()); create_cb(Status::IOError(""), rpc::CreateActorReply()); } @@ -134,9 +132,8 @@ TEST_F(DirectTaskTransportTest, ActorRegisterFailure) { std::function register_cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncRegisterActor(creation_task_spec, ::testing::_, ::testing::_)) - .WillOnce(::testing::DoAll(::testing::SaveArg<1>(®ister_cb), - ::testing::Return(Status::OK()))); - ASSERT_TRUE(actor_creator->AsyncRegisterActor(creation_task_spec, nullptr).ok()); + .WillOnce(::testing::DoAll(::testing::SaveArg<1>(®ister_cb))); + actor_creator->AsyncRegisterActor(creation_task_spec, nullptr); ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); actor_task_submitter->AddActorQueueIfNotExists(actor_id, -1, @@ -163,9 +160,8 @@ TEST_F(DirectTaskTransportTest, ActorRegisterOk) { std::function register_cb; EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncRegisterActor(creation_task_spec, ::testing::_, ::testing::_)) - .WillOnce(::testing::DoAll(::testing::SaveArg<1>(®ister_cb), - ::testing::Return(Status::OK()))); - ASSERT_TRUE(actor_creator->AsyncRegisterActor(creation_task_spec, nullptr).ok()); + .WillOnce(::testing::DoAll(::testing::SaveArg<1>(®ister_cb))); + actor_creator->AsyncRegisterActor(creation_task_spec, nullptr); ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); actor_task_submitter->AddActorQueueIfNotExists(actor_id, -1, diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index cbc05d7ee614..c65a948b7474 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -395,29 +395,21 @@ class MockActorCreator : public ActorCreatorInterface { return Status::OK(); }; - Status AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override { - return Status::OK(); - } + void AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) override {} - Status AsyncRestartActorForLineageReconstruction( + void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, - gcs::StatusCallback callback) override { - return Status::OK(); - } + gcs::StatusCallback callback) override {} - Status AsyncReportActorOutOfScope(const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override { - return Status::OK(); - } + void AsyncReportActorOutOfScope(const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstruction, + gcs::StatusCallback callback) override {} - Status AsyncCreateActor( + void AsyncCreateActor( const TaskSpecification &task_spec, - const rpc::ClientCallback &callback) override { - return Status::OK(); - } + const rpc::ClientCallback &callback) override {} void AsyncWaitForActorRegisterFinish(const ActorID &, gcs::StatusCallback callback) override { diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index 1edd07ebf879..e71778bfd982 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -40,14 +40,14 @@ void ActorTaskSubmitter::NotifyGCSWhenActorOutOfScope( } } } - RAY_CHECK_OK(actor_creator_.AsyncReportActorOutOfScope( + actor_creator_.AsyncReportActorOutOfScope( actor_id, num_restarts_due_to_lineage_reconstruction, [actor_id](Status status) { if (!status.ok()) { RAY_LOG(ERROR).WithField(actor_id) << "Failed to report actor out of scope: " << status << ". The actor will not be killed"; } - })); + }); }; if (!reference_counter_->AddObjectOutOfScopeOrFreedCallback( @@ -116,7 +116,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) // more details please see the protocol of actor management based on gcs. // https://docs.google.com/document/d/1EAWide-jy05akJp6OMtDn58XOK7bUyruWMia4E-fV28/edit?usp=sharing RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Creating actor via GCS"; - RAY_CHECK_OK(actor_creator_.AsyncCreateActor( + actor_creator_.AsyncCreateActor( task_spec, [this, actor_id, task_id](Status status, const rpc::CreateActorReply &reply) { if (status.ok() || status.IsCreationTaskError()) { @@ -161,7 +161,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) &status, ray_error_info.has_actor_died_error() ? &ray_error_info : nullptr)); } - })); + }); }); return Status::OK(); @@ -345,7 +345,7 @@ void ActorTaskSubmitter::RestartActorForLineageReconstruction(const ActorID &act RAY_CHECK(queue->second.is_restartable) << "This actor is no longer restartable"; queue->second.state = rpc::ActorTableData::RESTARTING; queue->second.num_restarts_due_to_lineage_reconstructions += 1; - RAY_CHECK_OK(actor_creator_.AsyncRestartActorForLineageReconstruction( + actor_creator_.AsyncRestartActorForLineageReconstruction( actor_id, queue->second.num_restarts_due_to_lineage_reconstructions, [this, @@ -360,7 +360,7 @@ void ActorTaskSubmitter::RestartActorForLineageReconstruction(const ActorID &act NotifyGCSWhenActorOutOfScope(actor_id, num_restarts_due_to_lineage_reconstructions); } - })); + }); } void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 7bd388a3d1a3..eac79dcda195 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -21,7 +21,6 @@ #include #include -#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/common_protocol.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/util/container_util.h" @@ -36,40 +35,36 @@ int64_t GetGcsTimeoutMs() { JobInfoAccessor::JobInfoAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -Status JobInfoAccessor::AsyncAdd(const std::shared_ptr &data_ptr, - const StatusCallback &callback) { +void JobInfoAccessor::AsyncAdd(const std::shared_ptr &data_ptr, + const StatusCallback &callback) { JobID job_id = JobID::FromBinary(data_ptr->job_id()); RAY_LOG(DEBUG).WithField(job_id) << "Adding job, driver pid = " << data_ptr->driver_pid(); rpc::AddJobRequest request; request.mutable_data()->CopyFrom(*data_ptr); client_impl_->GetGcsRpcClient().AddJob( - request, - [job_id, data_ptr, callback](const Status &status, rpc::AddJobReply &&reply) { + request, [job_id, data_ptr, callback](const Status &status, rpc::AddJobReply &&) { if (callback) { callback(status); } RAY_LOG(DEBUG).WithField(job_id) << "Finished adding job, status = " << status << ", driver pid = " << data_ptr->driver_pid(); }); - return Status::OK(); } -Status JobInfoAccessor::AsyncMarkFinished(const JobID &job_id, - const StatusCallback &callback) { +void JobInfoAccessor::AsyncMarkFinished(const JobID &job_id, + const StatusCallback &callback) { RAY_LOG(DEBUG).WithField(job_id) << "Marking job state"; rpc::MarkJobFinishedRequest request; request.set_job_id(job_id.Binary()); client_impl_->GetGcsRpcClient().MarkJobFinished( - request, - [job_id, callback](const Status &status, rpc::MarkJobFinishedReply &&reply) { + request, [job_id, callback](const Status &status, rpc::MarkJobFinishedReply &&) { if (callback) { callback(status); } RAY_LOG(DEBUG).WithField(job_id) << "Finished marking job state, status = " << status; }); - return Status::OK(); } Status JobInfoAccessor::AsyncSubscribeAll( @@ -86,11 +81,11 @@ Status JobInfoAccessor::AsyncSubscribeAll( done(status); } }; - RAY_CHECK_OK(AsyncGetAll(/*job_or_submission_id=*/std::nullopt, - /*skip_submission_job_info_field=*/true, - /*skip_is_running_tasks_field=*/true, - callback, - /*timeout_ms=*/-1)); + AsyncGetAll(/*job_or_submission_id=*/std::nullopt, + /*skip_submission_job_info_field=*/true, + /*skip_is_running_tasks_field=*/true, + callback, + /*timeout_ms=*/-1); }; subscribe_operation_ = [this, subscribe](const StatusCallback &done) { return client_impl_->GetGcsSubscriber().SubscribeAllJobs(subscribe, done); @@ -107,18 +102,17 @@ void JobInfoAccessor::AsyncResubscribe() { }; if (subscribe_operation_ != nullptr) { - RAY_CHECK_OK(subscribe_operation_([this, fetch_all_done](const Status &status) { + RAY_CHECK_OK(subscribe_operation_([this, fetch_all_done](const Status &) { fetch_all_data_operation_(fetch_all_done); })); } } -Status JobInfoAccessor::AsyncGetAll( - const std::optional &job_or_submission_id, - bool skip_submission_job_info_field, - bool skip_is_running_tasks_field, - const MultiItemCallback &callback, - int64_t timeout_ms) { +void JobInfoAccessor::AsyncGetAll(const std::optional &job_or_submission_id, + bool skip_submission_job_info_field, + bool skip_is_running_tasks_field, + const MultiItemCallback &callback, + int64_t timeout_ms) { RAY_LOG(DEBUG) << "Getting all job info."; RAY_CHECK(callback); rpc::GetAllJobInfoRequest request; @@ -134,7 +128,6 @@ Status JobInfoAccessor::AsyncGetAll( RAY_LOG(DEBUG) << "Finished getting all job info."; }, timeout_ms); - return Status::OK(); } Status JobInfoAccessor::GetAll(const std::optional &job_or_submission_id, @@ -155,7 +148,7 @@ Status JobInfoAccessor::GetAll(const std::optional &job_or_submissi return Status::OK(); } -Status JobInfoAccessor::AsyncGetNextJobID(const ItemCallback &callback) { +void JobInfoAccessor::AsyncGetNextJobID(const ItemCallback &callback) { RAY_LOG(DEBUG) << "Getting next job id"; rpc::GetNextJobIDRequest request; client_impl_->GetGcsRpcClient().GetNextJobID( @@ -165,13 +158,12 @@ Status JobInfoAccessor::AsyncGetNextJobID(const ItemCallback &callback) { RAY_LOG(DEBUG) << "Finished getting next job id = " << job_id; callback(std::move(job_id)); }); - return Status::OK(); } ActorInfoAccessor::ActorInfoAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -Status ActorInfoAccessor::AsyncGet( +void ActorInfoAccessor::AsyncGet( const ActorID &actor_id, const OptionalItemCallback &callback) { RAY_LOG(DEBUG).WithField(actor_id).WithField(actor_id.JobId()) << "Getting actor info"; rpc::GetActorInfoRequest request; @@ -187,10 +179,9 @@ Status ActorInfoAccessor::AsyncGet( RAY_LOG(DEBUG).WithField(actor_id).WithField(actor_id.JobId()) << "Finished getting actor info, status = " << status; }); - return Status::OK(); } -Status ActorInfoAccessor::AsyncGetAllByFilter( +void ActorInfoAccessor::AsyncGetAllByFilter( const std::optional &actor_id, const std::optional &job_id, const std::optional &actor_state_name, @@ -218,10 +209,9 @@ Status ActorInfoAccessor::AsyncGetAllByFilter( RAY_LOG(DEBUG) << "Finished getting all actor info, status = " << status; }, timeout_ms); - return Status::OK(); } -Status ActorInfoAccessor::AsyncGetByName( +void ActorInfoAccessor::AsyncGetByName( const std::string &name, const std::string &ray_namespace, const OptionalItemCallback &callback, @@ -242,7 +232,6 @@ Status ActorInfoAccessor::AsyncGetByName( << ", name = " << name; }, timeout_ms); - return Status::OK(); } Status ActorInfoAccessor::SyncGetByName(const std::string &name, @@ -262,30 +251,6 @@ Status ActorInfoAccessor::SyncGetByName(const std::string &name, return status; } -Status ActorInfoAccessor::AsyncListNamedActors( - bool all_namespaces, - const std::string &ray_namespace, - const OptionalItemCallback> &callback, - int64_t timeout_ms) { - RAY_LOG(DEBUG) << "Listing actors"; - rpc::ListNamedActorsRequest request; - request.set_all_namespaces(all_namespaces); - request.set_ray_namespace(ray_namespace); - client_impl_->GetGcsRpcClient().ListNamedActors( - request, - [callback](const Status &status, rpc::ListNamedActorsReply &&reply) { - if (!status.ok()) { - callback(status, std::nullopt); - } else { - callback(status, - VectorFromProtobuf(std::move(*reply.mutable_named_actors_list()))); - } - RAY_LOG(DEBUG) << "Finished getting named actor names, status = " << status; - }, - timeout_ms); - return Status::OK(); -} - Status ActorInfoAccessor::SyncListNamedActors( bool all_namespaces, const std::string &ray_namespace, @@ -299,15 +264,15 @@ Status ActorInfoAccessor::SyncListNamedActors( if (!status.ok()) { return status; } - + actors.reserve(reply.named_actors_list_size()); for (const auto &actor_info : VectorFromProtobuf(std::move(*reply.mutable_named_actors_list()))) { - actors.push_back(std::make_pair(actor_info.ray_namespace(), actor_info.name())); + actors.emplace_back(actor_info.ray_namespace(), actor_info.name()); } return status; } -Status ActorInfoAccessor::AsyncRestartActorForLineageReconstruction( +void ActorInfoAccessor::AsyncRestartActorForLineageReconstruction( const ray::ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstruction, const ray::gcs::StatusCallback &callback, @@ -323,7 +288,6 @@ Status ActorInfoAccessor::AsyncRestartActorForLineageReconstruction( callback(status); }, timeout_ms); - return Status::OK(); } namespace { @@ -342,9 +306,9 @@ Status ComputeGcsStatus(const Status &grpc_status, const rpc::GcsStatus &gcs_sta } // namespace -Status ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_spec, - const ray::gcs::StatusCallback &callback, - int64_t timeout_ms) { +void ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_spec, + const ray::gcs::StatusCallback &callback, + int64_t timeout_ms) { RAY_CHECK(task_spec.IsActorCreationTask() && callback); rpc::RegisterActorRequest request; request.mutable_task_spec()->CopyFrom(task_spec.GetMessage()); @@ -354,7 +318,6 @@ Status ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_ callback(ComputeGcsStatus(status, reply.status())); }, timeout_ms); - return Status::OK(); } Status ActorInfoAccessor::SyncRegisterActor(const ray::TaskSpecification &task_spec) { @@ -367,11 +330,11 @@ Status ActorInfoAccessor::SyncRegisterActor(const ray::TaskSpecification &task_s return ComputeGcsStatus(status, reply.status()); } -Status ActorInfoAccessor::AsyncKillActor(const ActorID &actor_id, - bool force_kill, - bool no_restart, - const ray::gcs::StatusCallback &callback, - int64_t timeout_ms) { +void ActorInfoAccessor::AsyncKillActor(const ActorID &actor_id, + bool force_kill, + bool no_restart, + const ray::gcs::StatusCallback &callback, + int64_t timeout_ms) { rpc::KillActorViaGcsRequest request; request.set_actor_id(actor_id.Binary()); request.set_force_kill(force_kill); @@ -384,10 +347,9 @@ Status ActorInfoAccessor::AsyncKillActor(const ActorID &actor_id, } }, timeout_ms); - return Status::OK(); } -Status ActorInfoAccessor::AsyncCreateActor( +void ActorInfoAccessor::AsyncCreateActor( const ray::TaskSpecification &task_spec, const rpc::ClientCallback &callback) { RAY_CHECK(task_spec.IsActorCreationTask() && callback); @@ -397,10 +359,9 @@ Status ActorInfoAccessor::AsyncCreateActor( request, [callback](const Status &status, rpc::CreateActorReply &&reply) { callback(status, std::move(reply)); }); - return Status::OK(); } -Status ActorInfoAccessor::AsyncReportActorOutOfScope( +void ActorInfoAccessor::AsyncReportActorOutOfScope( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstruction, const StatusCallback &callback, @@ -417,7 +378,6 @@ Status ActorInfoAccessor::AsyncReportActorOutOfScope( } }, timeout_ms); - return Status::OK(); } Status ActorInfoAccessor::AsyncSubscribe( @@ -440,7 +400,7 @@ Status ActorInfoAccessor::AsyncSubscribe( fetch_done(status); } }; - RAY_CHECK_OK(AsyncGet(actor_id, callback)); + AsyncGet(actor_id, callback); }; { @@ -554,8 +514,8 @@ const NodeID &NodeInfoAccessor::GetSelfId() const { return local_node_id_; } const rpc::GcsNodeInfo &NodeInfoAccessor::GetSelfInfo() const { return local_node_info_; } -Status NodeInfoAccessor::AsyncRegister(const rpc::GcsNodeInfo &node_info, - const StatusCallback &callback) { +void NodeInfoAccessor::AsyncRegister(const rpc::GcsNodeInfo &node_info, + const StatusCallback &callback) { NodeID node_id = NodeID::FromBinary(node_info.node_id()); RAY_LOG(DEBUG).WithField(node_id) << "Registering node info"; rpc::RegisterNodeRequest request; @@ -568,32 +528,30 @@ Status NodeInfoAccessor::AsyncRegister(const rpc::GcsNodeInfo &node_info, RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node info, status = " << status; }); - return Status::OK(); } -Status NodeInfoAccessor::AsyncCheckSelfAlive( +void NodeInfoAccessor::AsyncCheckSelfAlive( const std::function &callback, int64_t timeout_ms = -1) { std::vector raylet_addresses = { local_node_info_.node_manager_address() + ":" + std::to_string(local_node_info_.node_manager_port())}; - return AsyncCheckAlive( - raylet_addresses, - timeout_ms, - [callback](const Status &status, const std::vector &nodes_alive) { - if (!status.ok()) { - callback(status, false); - return; - } else { - RAY_CHECK_EQ(nodes_alive.size(), static_cast(1)); - callback(status, nodes_alive[0]); - } - }); -} - -Status NodeInfoAccessor::AsyncCheckAlive(const std::vector &raylet_addresses, - int64_t timeout_ms, - const MultiItemCallback &callback) { + AsyncCheckAlive(raylet_addresses, + timeout_ms, + [callback](const Status &status, const std::vector &nodes_alive) { + if (!status.ok()) { + callback(status, false); + return; + } else { + RAY_CHECK_EQ(nodes_alive.size(), static_cast(1)); + callback(status, nodes_alive[0]); + } + }); +} + +void NodeInfoAccessor::AsyncCheckAlive(const std::vector &raylet_addresses, + int64_t timeout_ms, + const MultiItemCallback &callback) { rpc::CheckAliveRequest request; for (const auto &raylet_address : raylet_addresses) { request.add_raylet_address(raylet_address); @@ -615,7 +573,6 @@ Status NodeInfoAccessor::AsyncCheckAlive(const std::vector &raylet_ } }, timeout_ms); - return Status::OK(); } Status NodeInfoAccessor::DrainNodes(const std::vector &node_ids, @@ -637,9 +594,9 @@ Status NodeInfoAccessor::DrainNodes(const std::vector &node_ids, return Status::OK(); } -Status NodeInfoAccessor::AsyncGetAll(const MultiItemCallback &callback, - int64_t timeout_ms, - std::optional node_id) { +void NodeInfoAccessor::AsyncGetAll(const MultiItemCallback &callback, + int64_t timeout_ms, + std::optional node_id) { RAY_LOG(DEBUG) << "Getting information of all nodes."; rpc::GetAllNodeInfoRequest request; if (node_id) { @@ -658,7 +615,6 @@ Status NodeInfoAccessor::AsyncGetAll(const MultiItemCallback & << status; }, timeout_ms); - return Status::OK(); } Status NodeInfoAccessor::AsyncSubscribeToNodeChange( @@ -678,7 +634,7 @@ Status NodeInfoAccessor::AsyncSubscribeToNodeChange( done(status); } }; - RAY_CHECK_OK(AsyncGetAll(callback, /*timeout_ms=*/-1)); + AsyncGetAll(callback, /*timeout_ms=*/-1); }; subscribe_node_operation_ = [this](const StatusCallback &done) { @@ -735,13 +691,13 @@ Status NodeInfoAccessor::CheckAlive(const std::vector &raylet_addre int64_t timeout_ms, std::vector &nodes_alive) { std::promise ret_promise; - RAY_RETURN_NOT_OK(AsyncCheckAlive( + AsyncCheckAlive( raylet_addresses, timeout_ms, [&ret_promise, &nodes_alive](Status status, const std::vector &alive) { nodes_alive = alive; ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -825,7 +781,7 @@ void NodeInfoAccessor::AsyncResubscribe() { NodeResourceInfoAccessor::NodeResourceInfoAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -Status NodeResourceInfoAccessor::AsyncGetAllAvailableResources( +void NodeResourceInfoAccessor::AsyncGetAllAvailableResources( const MultiItemCallback &callback) { rpc::GetAllAvailableResourcesRequest request; client_impl_->GetGcsRpcClient().GetAllAvailableResources( @@ -835,10 +791,9 @@ Status NodeResourceInfoAccessor::AsyncGetAllAvailableResources( RAY_LOG(DEBUG) << "Finished getting available resources of all nodes, status = " << status; }); - return Status::OK(); } -Status NodeResourceInfoAccessor::AsyncGetAllTotalResources( +void NodeResourceInfoAccessor::AsyncGetAllTotalResources( const MultiItemCallback &callback) { rpc::GetAllTotalResourcesRequest request; client_impl_->GetGcsRpcClient().GetAllTotalResources( @@ -847,10 +802,9 @@ Status NodeResourceInfoAccessor::AsyncGetAllTotalResources( RAY_LOG(DEBUG) << "Finished getting total resources of all nodes, status = " << status; }); - return Status::OK(); } -Status NodeResourceInfoAccessor::AsyncGetDrainingNodes( +void NodeResourceInfoAccessor::AsyncGetDrainingNodes( const ItemCallback> &callback) { rpc::GetDrainingNodesRequest request; client_impl_->GetGcsRpcClient().GetDrainingNodes( @@ -863,7 +817,6 @@ Status NodeResourceInfoAccessor::AsyncGetDrainingNodes( } callback(std::move(draining_nodes)); }); - return Status::OK(); } void NodeResourceInfoAccessor::AsyncResubscribe() { @@ -876,7 +829,7 @@ void NodeResourceInfoAccessor::AsyncResubscribe() { } } -Status NodeResourceInfoAccessor::AsyncGetAllResourceUsage( +void NodeResourceInfoAccessor::AsyncGetAllResourceUsage( const ItemCallback &callback) { rpc::GetAllResourceUsageRequest request; client_impl_->GetGcsRpcClient().GetAllResourceUsage( @@ -885,7 +838,6 @@ Status NodeResourceInfoAccessor::AsyncGetAllResourceUsage( RAY_LOG(DEBUG) << "Finished getting resource usage of all nodes, status = " << status; }); - return Status::OK(); } Status NodeResourceInfoAccessor::GetAllResourceUsage( @@ -895,8 +847,8 @@ Status NodeResourceInfoAccessor::GetAllResourceUsage( request, &reply, timeout_ms); } -Status TaskInfoAccessor::AsyncAddTaskEventData( - std::unique_ptr data_ptr, StatusCallback callback) { +void TaskInfoAccessor::AsyncAddTaskEventData(std::unique_ptr data_ptr, + StatusCallback callback) { rpc::AddTaskEventDataRequest request; // Prevent copy here request.mutable_data()->Swap(data_ptr.get()); @@ -907,10 +859,9 @@ Status TaskInfoAccessor::AsyncAddTaskEventData( } RAY_LOG(DEBUG) << "Accessor added task events grpc OK"; }); - return Status::OK(); } -Status TaskInfoAccessor::AsyncGetTaskEvents( +void TaskInfoAccessor::AsyncGetTaskEvents( const MultiItemCallback &callback) { RAY_LOG(DEBUG) << "Getting all task events info."; RAY_CHECK(callback); @@ -919,14 +870,12 @@ Status TaskInfoAccessor::AsyncGetTaskEvents( request, [callback](const Status &status, rpc::GetTaskEventsReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_events_by_task()))); }); - - return Status::OK(); } ErrorInfoAccessor::ErrorInfoAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -Status ErrorInfoAccessor::AsyncReportJobError( +void ErrorInfoAccessor::AsyncReportJobError( const std::shared_ptr &data_ptr, const StatusCallback &callback) { auto job_id = JobID::FromBinary(data_ptr->job_id()); @@ -941,7 +890,6 @@ Status ErrorInfoAccessor::AsyncReportJobError( } RAY_LOG(DEBUG) << "Finished publishing job error, job id = " << job_id; }); - return Status::OK(); } WorkerInfoAccessor::WorkerInfoAccessor(GcsClient *client_impl) @@ -966,7 +914,7 @@ void WorkerInfoAccessor::AsyncResubscribe() { } } -Status WorkerInfoAccessor::AsyncReportWorkerFailure( +void WorkerInfoAccessor::AsyncReportWorkerFailure( const std::shared_ptr &data_ptr, const StatusCallback &callback) { rpc::Address worker_address = data_ptr->worker_address(); @@ -983,10 +931,9 @@ Status WorkerInfoAccessor::AsyncReportWorkerFailure( RAY_LOG(DEBUG) << "Finished reporting worker failure, " << worker_address.DebugString() << ", status = " << status; }); - return Status::OK(); } -Status WorkerInfoAccessor::AsyncGet( +void WorkerInfoAccessor::AsyncGet( const WorkerID &worker_id, const OptionalItemCallback &callback) { RAY_LOG(DEBUG) << "Getting worker info, worker id = " << worker_id; @@ -1002,10 +949,9 @@ Status WorkerInfoAccessor::AsyncGet( } RAY_LOG(DEBUG) << "Finished getting worker info, worker id = " << worker_id; }); - return Status::OK(); } -Status WorkerInfoAccessor::AsyncGetAll( +void WorkerInfoAccessor::AsyncGetAll( const MultiItemCallback &callback) { RAY_LOG(DEBUG) << "Getting all worker info."; rpc::GetAllWorkerInfoRequest request; @@ -1015,11 +961,10 @@ Status WorkerInfoAccessor::AsyncGetAll( VectorFromProtobuf(std::move(*reply.mutable_worker_table_data()))); RAY_LOG(DEBUG) << "Finished getting all worker info, status = " << status; }); - return Status::OK(); } -Status WorkerInfoAccessor::AsyncAdd(const std::shared_ptr &data_ptr, - const StatusCallback &callback) { +void WorkerInfoAccessor::AsyncAdd(const std::shared_ptr &data_ptr, + const StatusCallback &callback) { rpc::AddWorkerInfoRequest request; request.mutable_worker_data()->CopyFrom(*data_ptr); client_impl_->GetGcsRpcClient().AddWorkerInfo( @@ -1028,12 +973,11 @@ Status WorkerInfoAccessor::AsyncAdd(const std::shared_ptr callback(status); } }); - return Status::OK(); } -Status WorkerInfoAccessor::AsyncUpdateDebuggerPort(const WorkerID &worker_id, - uint32_t debugger_port, - const StatusCallback &callback) { +void WorkerInfoAccessor::AsyncUpdateDebuggerPort(const WorkerID &worker_id, + uint32_t debugger_port, + const StatusCallback &callback) { rpc::UpdateWorkerDebuggerPortRequest request; request.set_worker_id(worker_id.Binary()); request.set_debugger_port(debugger_port); @@ -1046,10 +990,9 @@ Status WorkerInfoAccessor::AsyncUpdateDebuggerPort(const WorkerID &worker_id, callback(status); } }); - return Status::OK(); } -Status WorkerInfoAccessor::AsyncUpdateWorkerNumPausedThreads( +void WorkerInfoAccessor::AsyncUpdateWorkerNumPausedThreads( const WorkerID &worker_id, const int num_paused_threads_delta, const StatusCallback &callback) { @@ -1065,7 +1008,6 @@ Status WorkerInfoAccessor::AsyncUpdateWorkerNumPausedThreads( callback(status); } }); - return Status::OK(); } PlacementGroupInfoAccessor::PlacementGroupInfoAccessor(GcsClient *client_impl) @@ -1098,7 +1040,7 @@ Status PlacementGroupInfoAccessor::SyncRemovePlacementGroup( return status; } -Status PlacementGroupInfoAccessor::AsyncGet( +void PlacementGroupInfoAccessor::AsyncGet( const PlacementGroupID &placement_group_id, const OptionalItemCallback &callback) { RAY_LOG(DEBUG).WithField(placement_group_id) << "Getting placement group info"; @@ -1116,10 +1058,9 @@ Status PlacementGroupInfoAccessor::AsyncGet( RAY_LOG(DEBUG).WithField(placement_group_id) << "Finished getting placement group info"; }); - return Status::OK(); } -Status PlacementGroupInfoAccessor::AsyncGetByName( +void PlacementGroupInfoAccessor::AsyncGetByName( const std::string &name, const std::string &ray_namespace, const OptionalItemCallback &callback, @@ -1140,10 +1081,9 @@ Status PlacementGroupInfoAccessor::AsyncGetByName( << status << ", name = " << name; }, timeout_ms); - return Status::OK(); } -Status PlacementGroupInfoAccessor::AsyncGetAll( +void PlacementGroupInfoAccessor::AsyncGetAll( const MultiItemCallback &callback) { RAY_LOG(DEBUG) << "Getting all placement group info."; rpc::GetAllPlacementGroupRequest request; @@ -1155,7 +1095,6 @@ Status PlacementGroupInfoAccessor::AsyncGetAll( RAY_LOG(DEBUG) << "Finished getting all placement group info, status = " << status; }); - return Status::OK(); } Status PlacementGroupInfoAccessor::SyncWaitUntilReady( @@ -1173,7 +1112,7 @@ Status PlacementGroupInfoAccessor::SyncWaitUntilReady( InternalKVAccessor::InternalKVAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -Status InternalKVAccessor::AsyncInternalKVGet( +void InternalKVAccessor::AsyncInternalKVGet( const std::string &ns, const std::string &key, const int64_t timeout_ms, @@ -1191,10 +1130,9 @@ Status InternalKVAccessor::AsyncInternalKVGet( } }, timeout_ms); - return Status::OK(); } -Status InternalKVAccessor::AsyncInternalKVMultiGet( +void InternalKVAccessor::AsyncInternalKVMultiGet( const std::string &ns, const std::vector &keys, const int64_t timeout_ms, @@ -1221,16 +1159,14 @@ Status InternalKVAccessor::AsyncInternalKVMultiGet( } }, timeout_ms); - return Status::OK(); } -Status InternalKVAccessor::AsyncInternalKVPut( - const std::string &ns, - const std::string &key, - const std::string &value, - bool overwrite, - const int64_t timeout_ms, - const OptionalItemCallback &callback) { +void InternalKVAccessor::AsyncInternalKVPut(const std::string &ns, + const std::string &key, + const std::string &value, + bool overwrite, + const int64_t timeout_ms, + const OptionalItemCallback &callback) { rpc::InternalKVPutRequest req; req.set_namespace_(ns); req.set_key(key); @@ -1242,10 +1178,9 @@ Status InternalKVAccessor::AsyncInternalKVPut( callback(status, reply.added()); }, timeout_ms); - return Status::OK(); } -Status InternalKVAccessor::AsyncInternalKVExists( +void InternalKVAccessor::AsyncInternalKVExists( const std::string &ns, const std::string &key, const int64_t timeout_ms, @@ -1259,14 +1194,13 @@ Status InternalKVAccessor::AsyncInternalKVExists( callback(status, reply.exists()); }, timeout_ms); - return Status::OK(); } -Status InternalKVAccessor::AsyncInternalKVDel(const std::string &ns, - const std::string &key, - bool del_by_prefix, - const int64_t timeout_ms, - const OptionalItemCallback &callback) { +void InternalKVAccessor::AsyncInternalKVDel(const std::string &ns, + const std::string &key, + bool del_by_prefix, + const int64_t timeout_ms, + const OptionalItemCallback &callback) { rpc::InternalKVDelRequest req; req.set_namespace_(ns); req.set_key(key); @@ -1277,10 +1211,9 @@ Status InternalKVAccessor::AsyncInternalKVDel(const std::string &ns, callback(status, reply.deleted_num()); }, timeout_ms); - return Status::OK(); } -Status InternalKVAccessor::AsyncInternalKVKeys( +void InternalKVAccessor::AsyncInternalKVKeys( const std::string &ns, const std::string &prefix, const int64_t timeout_ms, @@ -1298,7 +1231,6 @@ Status InternalKVAccessor::AsyncInternalKVKeys( } }, timeout_ms); - return Status::OK(); } Status InternalKVAccessor::Put(const std::string &ns, @@ -1308,7 +1240,7 @@ Status InternalKVAccessor::Put(const std::string &ns, const int64_t timeout_ms, bool &added) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVPut( + AsyncInternalKVPut( ns, key, value, @@ -1317,7 +1249,7 @@ Status InternalKVAccessor::Put(const std::string &ns, [&ret_promise, &added](Status status, std::optional was_added) { added = was_added.value_or(false); ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -1326,7 +1258,7 @@ Status InternalKVAccessor::Keys(const std::string &ns, const int64_t timeout_ms, std::vector &value) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVKeys( + AsyncInternalKVKeys( ns, prefix, timeout_ms, @@ -1338,7 +1270,7 @@ Status InternalKVAccessor::Keys(const std::string &ns, value = std::vector(); } ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -1347,7 +1279,7 @@ Status InternalKVAccessor::Get(const std::string &ns, const int64_t timeout_ms, std::string &value) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVGet( + AsyncInternalKVGet( ns, key, timeout_ms, @@ -1358,7 +1290,7 @@ Status InternalKVAccessor::Get(const std::string &ns, value.clear(); } ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -1368,7 +1300,7 @@ Status InternalKVAccessor::MultiGet( const int64_t timeout_ms, std::unordered_map &values) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVMultiGet( + AsyncInternalKVMultiGet( ns, keys, timeout_ms, @@ -1380,7 +1312,7 @@ Status InternalKVAccessor::MultiGet( values = std::move(*vs); } ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -1390,7 +1322,7 @@ Status InternalKVAccessor::Del(const std::string &ns, const int64_t timeout_ms, int &num_deleted) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVDel( + AsyncInternalKVDel( ns, key, del_by_prefix, @@ -1398,7 +1330,7 @@ Status InternalKVAccessor::Del(const std::string &ns, [&ret_promise, &num_deleted](Status status, std::optional &&value) { num_deleted = value.value_or(0); ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } @@ -1407,18 +1339,18 @@ Status InternalKVAccessor::Exists(const std::string &ns, const int64_t timeout_ms, bool &exists) { std::promise ret_promise; - RAY_CHECK_OK(AsyncInternalKVExists( + AsyncInternalKVExists( ns, key, timeout_ms, [&ret_promise, &exists](Status status, std::optional &&value) { exists = value.value_or(false); ret_promise.set_value(status); - })); + }); return ret_promise.get_future().get(); } -Status InternalKVAccessor::AsyncGetInternalConfig( +void InternalKVAccessor::AsyncGetInternalConfig( const OptionalItemCallback &callback) { rpc::GetInternalConfigRequest request; client_impl_->GetGcsRpcClient().GetInternalConfig( @@ -1430,7 +1362,6 @@ Status InternalKVAccessor::AsyncGetInternalConfig( } callback(status, reply.config()); }); - return Status::OK(); } RuntimeEnvAccessor::RuntimeEnvAccessor(GcsClient *client_impl) @@ -1502,12 +1433,11 @@ Status AutoscalerStateAccessor::GetClusterStatus(int64_t timeout_ms, return Status::OK(); } -Status AutoscalerStateAccessor::AsyncGetClusterStatus( +void AutoscalerStateAccessor::AsyncGetClusterStatus( int64_t timeout_ms, const OptionalItemCallback &callback) { rpc::autoscaler::GetClusterStatusRequest request; rpc::autoscaler::GetClusterStatusRequest reply; - client_impl_->GetGcsRpcClient().GetClusterStatus( request, [callback](const Status &status, rpc::autoscaler::GetClusterStatusReply &&reply) { @@ -1518,8 +1448,6 @@ Status AutoscalerStateAccessor::AsyncGetClusterStatus( callback(Status::OK(), std::move(reply)); }, timeout_ms); - - return Status::OK(); } Status AutoscalerStateAccessor::ReportAutoscalingState( @@ -1598,7 +1526,7 @@ Status PublisherAccessor::PublishLogs(std::string key_id, return client_impl_->GetGcsRpcClient().SyncGcsPublish(request, &reply, timeout_ms); } -Status PublisherAccessor::AsyncPublishNodeResourceUsage( +void PublisherAccessor::AsyncPublishNodeResourceUsage( std::string key_id, std::string node_resource_usage_json, const StatusCallback &done) { @@ -1611,7 +1539,6 @@ Status PublisherAccessor::AsyncPublishNodeResourceUsage( client_impl_->GetGcsRpcClient().GcsPublish( request, [done](const Status &status, rpc::GcsPublishReply &&reply) { done(status); }); - return Status::OK(); } } // namespace gcs diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index c3a050481df6..88bf216bb7cf 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -56,9 +56,8 @@ class ActorInfoAccessor { /// /// \param actor_id The ID of actor to look up in the GCS. /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGet(const ActorID &actor_id, - const OptionalItemCallback &callback); + virtual void AsyncGet(const ActorID &actor_id, + const OptionalItemCallback &callback); /// Get all actor specification from the GCS asynchronously. /// @@ -67,13 +66,11 @@ class ActorInfoAccessor { /// \param actor_state_name To filter actors based on actor state. /// \param callback Callback that will be called after lookup finishes. /// \param timeout_ms -1 means infinite. - /// \return Status - virtual Status AsyncGetAllByFilter( - const std::optional &actor_id, - const std::optional &job_id, - const std::optional &actor_state_name, - const MultiItemCallback &callback, - int64_t timeout_ms = -1); + virtual void AsyncGetAllByFilter(const std::optional &actor_id, + const std::optional &job_id, + const std::optional &actor_state_name, + const MultiItemCallback &callback, + int64_t timeout_ms = -1); /// Get actor specification for a named actor from the GCS asynchronously. /// @@ -81,11 +78,10 @@ class ActorInfoAccessor { /// \param ray_namespace The namespace to filter to. /// \param callback Callback that will be called after lookup finishes. /// \param timeout_ms RPC timeout in milliseconds. -1 means the default. - /// \return Status - virtual Status AsyncGetByName(const std::string &name, - const std::string &ray_namespace, - const OptionalItemCallback &callback, - int64_t timeout_ms = -1); + virtual void AsyncGetByName(const std::string &name, + const std::string &ray_namespace, + const OptionalItemCallback &callback, + int64_t timeout_ms = -1); /// Get actor specification for a named actor from the GCS synchronously. /// @@ -100,19 +96,6 @@ class ActorInfoAccessor { rpc::ActorTableData &actor_table_data, rpc::TaskSpec &task_spec); - /// List all named actors from the GCS asynchronously. - /// - /// \param all_namespaces Whether or not to include actors from all Ray namespaces. - /// \param ray_namespace The namespace to filter to if all_namespaces is false. - /// \param callback Callback that will be called after lookup finishes. - /// \param timeout_ms The RPC timeout in milliseconds. -1 means the default. - /// \return Status - virtual Status AsyncListNamedActors( - bool all_namespaces, - const std::string &ray_namespace, - const OptionalItemCallback> &callback, - int64_t timeout_ms = -1); - /// List all named actors from the GCS synchronously. /// /// The RPC will timeout after the default GCS RPC timeout is exceeded. @@ -126,7 +109,7 @@ class ActorInfoAccessor { const std::string &ray_namespace, std::vector> &actors); - virtual Status AsyncReportActorOutOfScope( + virtual void AsyncReportActorOutOfScope( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstruction, const StatusCallback &callback, @@ -137,12 +120,11 @@ class ActorInfoAccessor { /// \param task_spec The specification for the actor creation task. /// \param callback Callback that will be called after the actor info is written to GCS. /// \param timeout_ms RPC timeout ms. -1 means there's no timeout. - /// \return Status - virtual Status AsyncRegisterActor(const TaskSpecification &task_spec, - const StatusCallback &callback, - int64_t timeout_ms = -1); + virtual void AsyncRegisterActor(const TaskSpecification &task_spec, + const StatusCallback &callback, + int64_t timeout_ms = -1); - virtual Status AsyncRestartActorForLineageReconstruction( + virtual void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, const StatusCallback &callback, @@ -164,12 +146,11 @@ class ActorInfoAccessor { /// \param no_restart If set to true, the killed actor will not be restarted anymore. /// \param callback Callback that will be called after the actor is destroyed. /// \param timeout_ms RPC timeout in milliseconds. -1 means infinite. - /// \return Status - virtual Status AsyncKillActor(const ActorID &actor_id, - bool force_kill, - bool no_restart, - const StatusCallback &callback, - int64_t timeout_ms = -1); + virtual void AsyncKillActor(const ActorID &actor_id, + bool force_kill, + bool no_restart, + const StatusCallback &callback, + int64_t timeout_ms = -1); /// Asynchronously request GCS to create the actor. /// @@ -180,8 +161,7 @@ class ActorInfoAccessor { /// /// \param task_spec The specification for the actor creation task. /// \param callback Callback that will be called after the actor info is written to GCS. - /// \return Status - virtual Status AsyncCreateActor( + virtual void AsyncCreateActor( const TaskSpecification &task_spec, const rpc::ClientCallback &callback); @@ -244,16 +224,14 @@ class JobInfoAccessor { /// \param data_ptr The job that will be add to GCS. /// \param callback Callback that will be called after job has been added /// to GCS. - /// \return Status - virtual Status AsyncAdd(const std::shared_ptr &data_ptr, - const StatusCallback &callback); + virtual void AsyncAdd(const std::shared_ptr &data_ptr, + const StatusCallback &callback); /// Mark job as finished in GCS asynchronously. /// /// \param job_id ID of the job that will be make finished to GCS. /// \param callback Callback that will be called after update finished. - /// \return Status - virtual Status AsyncMarkFinished(const JobID &job_id, const StatusCallback &callback); + virtual void AsyncMarkFinished(const JobID &job_id, const StatusCallback &callback); /// Subscribe to job updates. /// @@ -268,12 +246,11 @@ class JobInfoAccessor { /// /// \param job_or_submission_id If not null, filter the jobs with this id. /// \param callback Callback that will be called after lookup finished. - /// \return Status - virtual Status AsyncGetAll(const std::optional &job_or_submission_id, - bool skip_submission_job_info_field, - bool skip_is_running_tasks_field, - const MultiItemCallback &callback, - int64_t timeout_ms); + virtual void AsyncGetAll(const std::optional &job_or_submission_id, + bool skip_submission_job_info_field, + bool skip_is_running_tasks_field, + const MultiItemCallback &callback, + int64_t timeout_ms); /// Get all job info from GCS synchronously. /// @@ -297,8 +274,7 @@ class JobInfoAccessor { /// Increment and get next job id. This is not idempotent. /// /// \param done Callback that will be called when request successfully. - /// \return Status - virtual Status AsyncGetNextJobID(const ItemCallback &callback); + virtual void AsyncGetNextJobID(const ItemCallback &callback); private: /// Save the fetch data operation in this function, so we can call it again when GCS @@ -351,36 +327,32 @@ class NodeInfoAccessor { /// /// \param node_info The information of node to register to GCS. /// \param callback Callback that will be called when registration is complete. - /// \return Status - virtual Status AsyncRegister(const rpc::GcsNodeInfo &node_info, - const StatusCallback &callback); + virtual void AsyncRegister(const rpc::GcsNodeInfo &node_info, + const StatusCallback &callback); /// Send a check alive request to GCS for the liveness of this node. /// /// \param callback The callback function once the request is finished. /// \param timeout_ms The timeout for this request. - /// \return Status - virtual Status AsyncCheckSelfAlive(const std::function &callback, - int64_t timeout_ms); + virtual void AsyncCheckSelfAlive(const std::function &callback, + int64_t timeout_ms); /// Send a check alive request to GCS for the liveness of some nodes. /// /// \param callback The callback function once the request is finished. /// \param timeout_ms The timeout for this request. - /// \return Status - virtual Status AsyncCheckAlive(const std::vector &raylet_addresses, - int64_t timeout_ms, - const MultiItemCallback &callback); + virtual void AsyncCheckAlive(const std::vector &raylet_addresses, + int64_t timeout_ms, + const MultiItemCallback &callback); /// Get information of all nodes from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. /// \param timeout_ms The timeout for this request. /// \param node_id If not nullopt, only return the node info of the specified node. - /// \return Status - virtual Status AsyncGetAll(const MultiItemCallback &callback, - int64_t timeout_ms, - std::optional node_id = std::nullopt); + virtual void AsyncGetAll(const MultiItemCallback &callback, + int64_t timeout_ms, + std::optional node_id = std::nullopt); /// Subscribe to node addition and removal events from GCS and cache those information. /// @@ -509,22 +481,19 @@ class NodeResourceInfoAccessor { /// Get available resources of all nodes from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGetAllAvailableResources( + virtual void AsyncGetAllAvailableResources( const MultiItemCallback &callback); /// Get total resources of all nodes from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGetAllTotalResources( + virtual void AsyncGetAllTotalResources( const MultiItemCallback &callback); /// Get draining nodes from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGetDrainingNodes( + virtual void AsyncGetDrainingNodes( const ItemCallback> &callback); /// Reestablish subscription. @@ -537,8 +506,7 @@ class NodeResourceInfoAccessor { /// Get newest resource usage of all nodes from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGetAllResourceUsage( + virtual void AsyncGetAllResourceUsage( const ItemCallback &callback); /// Get newest resource usage of all nodes from GCS synchronously. @@ -579,9 +547,8 @@ class ErrorInfoAccessor { /// /// \param data_ptr The error message that will be reported to GCS. /// \param callback Callback that will be called when report is complete. - /// \return Status - virtual Status AsyncReportJobError(const std::shared_ptr &data_ptr, - const StatusCallback &callback); + virtual void AsyncReportJobError(const std::shared_ptr &data_ptr, + const StatusCallback &callback); private: GcsClient *client_impl_; @@ -600,15 +567,13 @@ class TaskInfoAccessor { /// /// \param data_ptr The task states event data that will be added to GCS. /// \param callback Callback that will be called when add is complete. - /// \return Status - virtual Status AsyncAddTaskEventData(std::unique_ptr data_ptr, - StatusCallback callback); + virtual void AsyncAddTaskEventData(std::unique_ptr data_ptr, + StatusCallback callback); /// Get all info/events of all tasks stored in GCS asynchronously. /// /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGetTaskEvents(const MultiItemCallback &callback); + virtual void AsyncGetTaskEvents(const MultiItemCallback &callback); private: GcsClient *client_impl_; @@ -637,8 +602,7 @@ class WorkerInfoAccessor { /// /// \param data_ptr The worker failure information that will be reported to GCS. /// \param callback Callback that will be called when report is complate. - /// \param Status - virtual Status AsyncReportWorkerFailure( + virtual void AsyncReportWorkerFailure( const std::shared_ptr &data_ptr, const StatusCallback &callback); @@ -646,44 +610,39 @@ class WorkerInfoAccessor { /// /// \param worker_id The ID of worker to look up in the GCS. /// \param callback Callback that will be called after lookup finishes. - /// \return Status - virtual Status AsyncGet(const WorkerID &worker_id, - const OptionalItemCallback &callback); + virtual void AsyncGet(const WorkerID &worker_id, + const OptionalItemCallback &callback); /// Get all worker info from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finished. - /// \return Status - virtual Status AsyncGetAll(const MultiItemCallback &callback); + virtual void AsyncGetAll(const MultiItemCallback &callback); /// Add worker information to GCS asynchronously. /// /// \param data_ptr The worker that will be add to GCS. /// \param callback Callback that will be called after worker information has been added /// to GCS. - /// \return Status - virtual Status AsyncAdd(const std::shared_ptr &data_ptr, - const StatusCallback &callback); + virtual void AsyncAdd(const std::shared_ptr &data_ptr, + const StatusCallback &callback); /// Update the worker debugger port in GCS asynchronously. /// /// \param worker_id The ID of worker to update in the GCS. /// \param debugger_port The debugger port of worker to update in the GCS. /// \param callback Callback that will be called after update finishes. - /// \return Status - virtual Status AsyncUpdateDebuggerPort(const WorkerID &worker_id, - uint32_t debugger_port, - const StatusCallback &callback); + virtual void AsyncUpdateDebuggerPort(const WorkerID &worker_id, + uint32_t debugger_port, + const StatusCallback &callback); /// Update the number of worker's paused threads in GCS asynchronously. /// /// \param worker_id The ID of worker to update in the GCS. /// \param num_paused_threads_delta The number of paused threads to update in the GCS. /// \param callback Callback that will be called after update finishes. - /// \return Status - virtual Status AsyncUpdateWorkerNumPausedThreads(const WorkerID &worker_id, - int num_paused_threads_delta, - const StatusCallback &callback); + virtual void AsyncUpdateWorkerNumPausedThreads(const WorkerID &worker_id, + int num_paused_threads_delta, + const StatusCallback &callback); /// Reestablish subscription. /// This should be called when GCS server restarts from a failure. /// PubSub server restart will cause GCS server restart. In this case, we need to @@ -718,8 +677,7 @@ class PlacementGroupInfoAccessor { /// Get a placement group data from GCS asynchronously by id. /// /// \param placement_group_id The id of a placement group to obtain from GCS. - /// \return Status. - virtual Status AsyncGet( + virtual void AsyncGet( const PlacementGroupID &placement_group_id, const OptionalItemCallback &callback); @@ -729,8 +687,7 @@ class PlacementGroupInfoAccessor { /// \param ray_namespace The ray namespace. /// \param callback The callback that's called when the RPC is replied. /// \param timeout_ms The RPC timeout in milliseconds. -1 means the default. - /// \return Status. - virtual Status AsyncGetByName( + virtual void AsyncGetByName( const std::string &placement_group_name, const std::string &ray_namespace, const OptionalItemCallback &callback, @@ -739,8 +696,7 @@ class PlacementGroupInfoAccessor { /// Get all placement group info from GCS asynchronously. /// /// \param callback Callback that will be called after lookup finished. - /// \return Status - virtual Status AsyncGetAll( + virtual void AsyncGetAll( const MultiItemCallback &callback); /// Remove a placement group to GCS synchronously. @@ -777,8 +733,7 @@ class InternalKVAccessor { /// \param prefix The prefix to scan. /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after scanning. - /// \return Status - virtual Status AsyncInternalKVKeys( + virtual void AsyncInternalKVKeys( const std::string &ns, const std::string &prefix, const int64_t timeout_ms, @@ -790,10 +745,10 @@ class InternalKVAccessor { /// \param key The key to lookup. /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after get the value. - virtual Status AsyncInternalKVGet(const std::string &ns, - const std::string &key, - const int64_t timeout_ms, - const OptionalItemCallback &callback); + virtual void AsyncInternalKVGet(const std::string &ns, + const std::string &key, + const int64_t timeout_ms, + const OptionalItemCallback &callback); /// Asynchronously get the value for multiple keys. /// @@ -801,7 +756,7 @@ class InternalKVAccessor { /// \param keys The keys to lookup. /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after get the values. - virtual Status AsyncInternalKVMultiGet( + virtual void AsyncInternalKVMultiGet( const std::string &ns, const std::vector &keys, const int64_t timeout_ms, @@ -814,13 +769,12 @@ class InternalKVAccessor { /// \param value The value associated with the key /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after the operation. - /// \return Status - virtual Status AsyncInternalKVPut(const std::string &ns, - const std::string &key, - const std::string &value, - bool overwrite, - const int64_t timeout_ms, - const OptionalItemCallback &callback); + virtual void AsyncInternalKVPut(const std::string &ns, + const std::string &key, + const std::string &value, + bool overwrite, + const int64_t timeout_ms, + const OptionalItemCallback &callback); /// Asynchronously check the existence of a given key /// @@ -829,11 +783,10 @@ class InternalKVAccessor { /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after the operation. Called with `true` /// if the key is deleted; `false` if it doesn't exist. - /// \return Status - virtual Status AsyncInternalKVExists(const std::string &ns, - const std::string &key, - const int64_t timeout_ms, - const OptionalItemCallback &callback); + virtual void AsyncInternalKVExists(const std::string &ns, + const std::string &key, + const int64_t timeout_ms, + const OptionalItemCallback &callback); /// Asynchronously delete a key /// @@ -843,12 +796,11 @@ class InternalKVAccessor { /// \param timeout_ms -1 means infinite. /// \param callback Callback that will be called after the operation. Called with number /// of keys deleted. - /// \return Status - virtual Status AsyncInternalKVDel(const std::string &ns, - const std::string &key, - bool del_by_prefix, - const int64_t timeout_ms, - const OptionalItemCallback &callback); + virtual void AsyncInternalKVDel(const std::string &ns, + const std::string &key, + bool del_by_prefix, + const int64_t timeout_ms, + const OptionalItemCallback &callback); // These are sync functions of the async above @@ -946,9 +898,7 @@ class InternalKVAccessor { /// Get the internal config string from GCS. /// /// \param callback Processes a map of config options - /// \return Status - virtual Status AsyncGetInternalConfig( - const OptionalItemCallback &callback); + virtual void AsyncGetInternalConfig(const OptionalItemCallback &callback); private: GcsClient *client_impl_; @@ -992,7 +942,7 @@ class AutoscalerStateAccessor { virtual Status GetClusterStatus(int64_t timeout_ms, std::string &serialized_reply); - virtual Status AsyncGetClusterStatus( + virtual void AsyncGetClusterStatus( int64_t timeout_ms, const OptionalItemCallback &callback); @@ -1030,9 +980,9 @@ class PublisherAccessor { virtual Status PublishLogs(std::string key_id, rpc::LogBatch data, int64_t timeout_ms); - virtual Status AsyncPublishNodeResourceUsage(std::string key_id, - std::string node_resource_usage_json, - const StatusCallback &done); + virtual void AsyncPublishNodeResourceUsage(std::string key_id, + std::string node_resource_usage_json, + const StatusCallback &done); private: GcsClient *client_impl_; diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index c1bbe1c20b32..f0337c30cf06 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -73,12 +73,12 @@ std::vector GlobalStateAccessor::GetAllJobInfo( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Jobs().AsyncGetAll( + gcs_client_->Jobs().AsyncGetAll( /*job_or_submission_id=*/std::nullopt, skip_submission_job_info_field, skip_is_running_tasks_field, TransformForMultiItemCallback(job_table_data, promise), - /*timeout_ms=*/-1)); + /*timeout_ms=*/-1); } promise.get_future().get(); return job_table_data; @@ -88,8 +88,8 @@ JobID GlobalStateAccessor::GetNextJobID() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Jobs().AsyncGetNextJobID( - [&promise](const JobID &job_id) { promise.set_value(job_id); })); + gcs_client_->Jobs().AsyncGetNextJobID( + [&promise](const JobID &job_id) { promise.set_value(job_id); }); } return promise.get_future().get(); } @@ -101,9 +101,9 @@ std::vector GlobalStateAccessor::GetAllNodeInfo() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Nodes().AsyncGetAll( + gcs_client_->Nodes().AsyncGetAll( TransformForMultiItemCallback(node_table_data, promise), - /*timeout_ms=*/-1)); + /*timeout_ms=*/-1); } promise.get_future().get(); return node_table_data; @@ -114,8 +114,8 @@ std::vector GlobalStateAccessor::GetAllTaskEvents() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Tasks().AsyncGetTaskEvents( - TransformForMultiItemCallback(task_events, promise))); + gcs_client_->Tasks().AsyncGetTaskEvents( + TransformForMultiItemCallback(task_events, promise)); } promise.get_future().get(); return task_events; @@ -126,9 +126,9 @@ std::vector GlobalStateAccessor::GetAllAvailableResources() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->NodeResources().AsyncGetAllAvailableResources( + gcs_client_->NodeResources().AsyncGetAllAvailableResources( TransformForMultiItemCallback(available_resources, - promise))); + promise)); } promise.get_future().get(); return available_resources; @@ -139,8 +139,8 @@ std::vector GlobalStateAccessor::GetAllTotalResources() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->NodeResources().AsyncGetAllTotalResources( - TransformForMultiItemCallback(total_resources, promise))); + gcs_client_->NodeResources().AsyncGetAllTotalResources( + TransformForMultiItemCallback(total_resources, promise)); } promise.get_future().get(); return total_resources; @@ -150,10 +150,10 @@ std::unordered_map GlobalStateAccessor::GetDrainingNodes() { std::promise> promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->NodeResources().AsyncGetDrainingNodes( + gcs_client_->NodeResources().AsyncGetDrainingNodes( [&promise](const std::unordered_map &draining_nodes) { promise.set_value(draining_nodes); - })); + }); } return promise.get_future().get(); } @@ -163,9 +163,9 @@ std::unique_ptr GlobalStateAccessor::GetAllResourceUsage() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->NodeResources().AsyncGetAllResourceUsage( + gcs_client_->NodeResources().AsyncGetAllResourceUsage( TransformForItemCallback(resource_batch_data, - promise))); + promise)); } promise.get_future().get(); return resource_batch_data; @@ -179,11 +179,11 @@ std::vector GlobalStateAccessor::GetAllActorInfo( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Actors().AsyncGetAllByFilter( + gcs_client_->Actors().AsyncGetAllByFilter( actor_id, job_id, actor_state_name, - TransformForMultiItemCallback(actor_table_data, promise))); + TransformForMultiItemCallback(actor_table_data, promise)); } promise.get_future().get(); return actor_table_data; @@ -194,10 +194,9 @@ std::unique_ptr GlobalStateAccessor::GetActorInfo(const ActorID &ac std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Actors().AsyncGet( + gcs_client_->Actors().AsyncGet( actor_id, - TransformForOptionalItemCallback(actor_table_data, - promise))); + TransformForOptionalItemCallback(actor_table_data, promise)); } promise.get_future().get(); return actor_table_data; @@ -209,10 +208,10 @@ std::unique_ptr GlobalStateAccessor::GetWorkerInfo( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Workers().AsyncGet( + gcs_client_->Workers().AsyncGet( worker_id, TransformForOptionalItemCallback(worker_table_data, - promise))); + promise)); } promise.get_future().get(); return worker_table_data; @@ -223,8 +222,8 @@ std::vector GlobalStateAccessor::GetAllWorkerInfo() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Workers().AsyncGetAll( - TransformForMultiItemCallback(worker_table_data, promise))); + gcs_client_->Workers().AsyncGetAll( + TransformForMultiItemCallback(worker_table_data, promise)); } promise.get_future().get(); return worker_table_data; @@ -236,11 +235,10 @@ bool GlobalStateAccessor::AddWorkerInfo(const std::string &serialized_string) { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK( - gcs_client_->Workers().AsyncAdd(data_ptr, [&promise](const Status &status) { - RAY_CHECK_OK(status); - promise.set_value(true); - })); + gcs_client_->Workers().AsyncAdd(data_ptr, [&promise](const Status &status) { + RAY_CHECK_OK(status); + promise.set_value(true); + }); } promise.get_future().get(); return true; @@ -251,7 +249,7 @@ uint32_t GlobalStateAccessor::GetWorkerDebuggerPort(const WorkerID &worker_id) { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Workers().AsyncGet( + gcs_client_->Workers().AsyncGet( worker_id, [&promise](const Status &status, const std::optional &result) { @@ -261,7 +259,7 @@ uint32_t GlobalStateAccessor::GetWorkerDebuggerPort(const WorkerID &worker_id) { return; } promise.set_value(0); - })); + }); } // Setup a timeout auto future = promise.get_future(); @@ -281,11 +279,11 @@ bool GlobalStateAccessor::UpdateWorkerDebuggerPort(const WorkerID &worker_id, std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Workers().AsyncUpdateDebuggerPort( + gcs_client_->Workers().AsyncUpdateDebuggerPort( worker_id, debugger_port, [&promise](const Status &status) { RAY_CHECK_OK(status); promise.set_value(status.ok()); - })); + }); } // Setup a timeout for the update request auto future = promise.get_future(); @@ -311,11 +309,11 @@ bool GlobalStateAccessor::UpdateWorkerNumPausedThreads( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->Workers().AsyncUpdateWorkerNumPausedThreads( + gcs_client_->Workers().AsyncUpdateWorkerNumPausedThreads( worker_id, num_paused_threads_delta, [&promise](const Status &status) { RAY_CHECK_OK(status); promise.set_value(status.ok()); - })); + }); } // Setup a timeout for the update request auto future = promise.get_future(); @@ -334,9 +332,9 @@ std::vector GlobalStateAccessor::GetAllPlacementGroupInfo() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->PlacementGroups().AsyncGetAll( + gcs_client_->PlacementGroups().AsyncGetAll( TransformForMultiItemCallback( - placement_group_table_data, promise))); + placement_group_table_data, promise)); } promise.get_future().get(); return placement_group_table_data; @@ -348,10 +346,10 @@ std::unique_ptr GlobalStateAccessor::GetPlacementGroupInfo( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->PlacementGroups().AsyncGet( + gcs_client_->PlacementGroups().AsyncGet( placement_group_id, TransformForOptionalItemCallback( - placement_group_table_data, promise))); + placement_group_table_data, promise)); } promise.get_future().get(); return placement_group_table_data; @@ -363,11 +361,11 @@ std::unique_ptr GlobalStateAccessor::GetPlacementGroupByName( std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->PlacementGroups().AsyncGetByName( + gcs_client_->PlacementGroups().AsyncGetByName( placement_group_name, ray_namespace, TransformForOptionalItemCallback( - placement_group_table_data, promise))); + placement_group_table_data, promise)); } promise.get_future().get(); return placement_group_table_data; @@ -386,12 +384,12 @@ std::string GlobalStateAccessor::GetSystemConfig() { std::promise promise; { absl::ReaderMutexLock lock(&mutex_); - RAY_CHECK_OK(gcs_client_->InternalKV().AsyncGetInternalConfig( + gcs_client_->InternalKV().AsyncGetInternalConfig( [&promise](const Status &status, const std::optional &stored_raylet_config) { RAY_CHECK_OK(status); promise.set_value(*stored_raylet_config); - })); + }); } auto future = promise.get_future(); if (future.wait_for(std::chrono::seconds( diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 1f48ee266ecc..d9d30a419ad5 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -189,8 +189,8 @@ class GcsClientTest : public ::testing::TestWithParam { bool AddJob(const std::shared_ptr &job_table_data) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Jobs().AsyncAdd( - job_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Jobs().AsyncAdd( + job_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } @@ -202,15 +202,15 @@ class GcsClientTest : public ::testing::TestWithParam { bool MarkJobFinished(const JobID &job_id) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Jobs().AsyncMarkFinished( - job_id, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Jobs().AsyncMarkFinished( + job_id, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } JobID GetNextJobID() { std::promise promise; - RAY_CHECK_OK(gcs_client_->Jobs().AsyncGetNextJobID( - [&promise](const JobID &job_id) { promise.set_value(job_id); })); + gcs_client_->Jobs().AsyncGetNextJobID( + [&promise](const JobID &job_id) { promise.set_value(job_id); }); return promise.get_future().get(); } @@ -263,35 +263,29 @@ class GcsClientTest : public ::testing::TestWithParam { TaskSpecification task_spec(message); if (skip_wait) { - return gcs_client_->Actors() - .AsyncRegisterActor(task_spec, [](Status status) {}) - .ok(); + gcs_client_->Actors().AsyncRegisterActor(task_spec, [](Status status) {}); + return true; } // NOTE: GCS will not reply when actor registration fails, so when GCS restarts, gcs // client will register the actor again and promise may be set twice. auto promise = std::make_shared>(); - RAY_CHECK_OK( - gcs_client_->Actors().AsyncRegisterActor(task_spec, [promise](Status status) { - try { - promise->set_value(status.ok()); - } catch (...) { - } - })); + gcs_client_->Actors().AsyncRegisterActor( + task_spec, [promise](Status status) { promise->set_value(status.ok()); }); return WaitReady(promise->get_future(), timeout_ms_); } rpc::ActorTableData GetActor(const ActorID &actor_id) { std::promise promise; rpc::ActorTableData actor_table_data; - RAY_CHECK_OK(gcs_client_->Actors().AsyncGet( + gcs_client_->Actors().AsyncGet( actor_id, [&actor_table_data, &promise](Status status, const std::optional &result) { assert(result); actor_table_data.CopyFrom(*result); promise.set_value(true); - })); + }); EXPECT_TRUE(WaitReady(promise.get_future(), timeout_ms_)); return actor_table_data; } @@ -299,7 +293,7 @@ class GcsClientTest : public ::testing::TestWithParam { std::vector GetAllActors(bool filter_non_dead_actor = false) { std::promise promise; std::vector actors; - RAY_CHECK_OK(gcs_client_->Actors().AsyncGetAllByFilter( + gcs_client_->Actors().AsyncGetAllByFilter( std::nullopt, std::nullopt, std::nullopt, @@ -317,7 +311,7 @@ class GcsClientTest : public ::testing::TestWithParam { } } promise.set_value(true); - })); + }); EXPECT_TRUE(WaitReady(promise.get_future(), timeout_ms_)); return actors; } @@ -337,8 +331,8 @@ class GcsClientTest : public ::testing::TestWithParam { bool RegisterNode(const rpc::GcsNodeInfo &node_info) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncRegister( - node_info, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Nodes().AsyncRegister( + node_info, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } @@ -350,13 +344,13 @@ class GcsClientTest : public ::testing::TestWithParam { std::vector GetNodeInfoList() { std::promise promise; std::vector nodes; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncGetAll( + gcs_client_->Nodes().AsyncGetAll( [&nodes, &promise](Status status, std::vector &&result) { assert(!result.empty()); nodes = std::move(result); promise.set_value(status.ok()); }, - gcs::GetGcsTimeoutMs())); + gcs::GetGcsTimeoutMs()); EXPECT_TRUE(WaitReady(promise.get_future(), timeout_ms_)); return nodes; } @@ -364,21 +358,21 @@ class GcsClientTest : public ::testing::TestWithParam { std::vector GetAllAvailableResources() { std::promise promise; std::vector resources; - RAY_CHECK_OK(gcs_client_->NodeResources().AsyncGetAllAvailableResources( + gcs_client_->NodeResources().AsyncGetAllAvailableResources( [&resources, &promise](Status status, const std::vector &result) { EXPECT_TRUE(!result.empty()); resources.assign(result.begin(), result.end()); promise.set_value(status.ok()); - })); + }); EXPECT_TRUE(WaitReady(promise.get_future(), timeout_ms_)); return resources; } bool ReportJobError(const std::shared_ptr &error_table_data) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Errors().AsyncReportJobError( - error_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Errors().AsyncReportJobError( + error_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } @@ -393,16 +387,16 @@ class GcsClientTest : public ::testing::TestWithParam { bool ReportWorkerFailure( const std::shared_ptr &worker_failure_data) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Workers().AsyncReportWorkerFailure( + gcs_client_->Workers().AsyncReportWorkerFailure( worker_failure_data, - [&promise](Status status) { promise.set_value(status.ok()); })); + [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } bool AddWorker(const std::shared_ptr &worker_data) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Workers().AsyncAdd( - worker_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Workers().AsyncAdd( + worker_data, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } diff --git a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc index 43f9d2344f55..d8a4963553d9 100644 --- a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc @@ -132,8 +132,8 @@ TEST_P(GlobalStateAccessorTest, TestJobTable) { auto job_id = JobID::FromInt(index); auto job_table_data = Mocker::GenJobTableData(job_id); std::promise promise; - RAY_CHECK_OK(gcs_client_->Jobs().AsyncAdd( - job_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Jobs().AsyncAdd( + job_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); promise.get_future().get(); } ASSERT_EQ(global_state_->GetAllJobInfo().size(), job_count); @@ -152,8 +152,8 @@ TEST_P(GlobalStateAccessorTest, TestJobTableWithSubmissionId) { std::to_string(index); } std::promise promise; - RAY_CHECK_OK(gcs_client_->Jobs().AsyncAdd( - job_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Jobs().AsyncAdd( + job_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); promise.get_future().get(); } ASSERT_EQ(global_state_->GetAllJobInfo().size(), job_count); @@ -169,8 +169,8 @@ TEST_P(GlobalStateAccessorTest, TestNodeTable) { std::string("127.0.0.") + std::to_string(index), "Mocker_node_" + std::to_string(index * 10)); std::promise promise; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncRegister( - *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Nodes().AsyncRegister( + *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); WaitReady(promise.get_future(), timeout_ms_); } auto node_table = global_state_->GetAllNodeInfo(); @@ -195,8 +195,8 @@ TEST_P(GlobalStateAccessorTest, TestGetAllTotalResources) { node_table_data->mutable_resources_total()->insert({"GPU", 10}); std::promise promise; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncRegister( - *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Nodes().AsyncRegister( + *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); WaitReady(promise.get_future(), timeout_ms_); ASSERT_EQ(global_state_->GetAllNodeInfo().size(), 1); @@ -224,8 +224,8 @@ TEST_P(GlobalStateAccessorTest, TestGetAllResourceUsage) { node_table_data->mutable_resources_total()->insert({"CPU", 1}); std::promise promise; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncRegister( - *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Nodes().AsyncRegister( + *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); WaitReady(promise.get_future(), timeout_ms_); auto node_table = global_state_->GetAllNodeInfo(); ASSERT_EQ(node_table.size(), 1); diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index 9df14ecb1f2b..6130ae751e68 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -467,18 +467,15 @@ struct GcsServerMocker { return node_info; } - Status AsyncRegister(const rpc::GcsNodeInfo &node_info, - const gcs::StatusCallback &callback) override { - return Status::NotImplemented(""); - } + void AsyncRegister(const rpc::GcsNodeInfo &node_info, + const gcs::StatusCallback &callback) override {} - Status AsyncGetAll(const gcs::MultiItemCallback &callback, - int64_t timeout_ms, - std::optional node_id = std::nullopt) override { + void AsyncGetAll(const gcs::MultiItemCallback &callback, + int64_t timeout_ms, + std::optional node_id = std::nullopt) override { if (callback) { callback(Status::OK(), {}); } - return Status::OK(); } Status AsyncSubscribeToNodeChange( diff --git a/src/ray/object_manager/test/ownership_object_directory_test.cc b/src/ray/object_manager/test/ownership_object_directory_test.cc index 14c4e31f3417..2f85c50af301 100644 --- a/src/ray/object_manager/test/ownership_object_directory_test.cc +++ b/src/ray/object_manager/test/ownership_object_directory_test.cc @@ -29,10 +29,6 @@ #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" -// clang-format off -#include "mock/ray/gcs/gcs_client/accessor.h" -// clang-format on - namespace ray { using ::testing::_; @@ -95,12 +91,17 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { int batch_sent = 0; }; +class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { + public: + bool IsRemoved(const NodeID &node_id) const override { return false; } +}; + class MockGcsClient : public gcs::GcsClient { public: MockGcsClient(gcs::GcsClientOptions options, - gcs::MockNodeInfoAccessor *node_info_accessor) + std::unique_ptr node_info_accessor) : gcs::GcsClient(options) { - node_accessor_.reset(node_info_accessor); + node_accessor_ = std::move(node_info_accessor); } gcs::NodeInfoAccessor &Nodes() { @@ -108,9 +109,11 @@ class MockGcsClient : public gcs::GcsClient { return *node_accessor_; } - MOCK_METHOD2(Connect, Status(instrumented_io_context &io_service, int64_t timeout_ms)); + Status Connect(instrumented_io_context &io_service, int64_t timeout_ms) { + return Status::OK(); + } - MOCK_METHOD0(Disconnect, void()); + void Disconnect() {} }; class OwnershipBasedObjectDirectoryTest : public ::testing::Test { @@ -121,8 +124,8 @@ class OwnershipBasedObjectDirectoryTest : public ::testing::Test { ClusterID::Nil(), /*allow_cluster_id_nil=*/true, /*fetch_cluster_id_if_nil=*/false), - node_info_accessor_(new gcs::MockNodeInfoAccessor()), - gcs_client_mock_(new MockGcsClient(options_, node_info_accessor_)), + gcs_client_mock_( + new MockGcsClient(options_, std::make_unique())), subscriber_(std::make_shared()), owner_client(std::make_shared()), client_pool([&](const rpc::Address &addr) { return owner_client; }) { @@ -195,7 +198,6 @@ class OwnershipBasedObjectDirectoryTest : public ::testing::Test { int64_t max_batch_size = 20; instrumented_io_context io_service_; gcs::GcsClientOptions options_; - gcs::MockNodeInfoAccessor *node_info_accessor_; std::shared_ptr gcs_client_mock_; std::shared_ptr subscriber_; std::shared_ptr owner_client; diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 880b42b886d2..1a2b1a82a702 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -355,489 +355,482 @@ int main(int argc, char *argv[]) { ray::NodeID raylet_node_id = ray::NodeID::FromHex(node_id); - RAY_CHECK_OK(gcs_client->InternalKV().AsyncGetInternalConfig( - [&](::ray::Status status, const std::optional &stored_raylet_config) { - RAY_CHECK_OK(status); - RAY_CHECK(stored_raylet_config.has_value()); - RayConfig::instance().initialize(*stored_raylet_config); - ray::asio::testing::Init(); - ray::rpc::testing::Init(); - - // Core worker tries to kill child processes when it exits. But they can't do - // it perfectly: if the core worker is killed by SIGKILL, the child processes - // leak. So in raylet we also kill child processes via Linux subreaper. - // Only works on Linux >= 3.4. - if (RayConfig::instance() - .kill_child_processes_on_worker_exit_with_raylet_subreaper()) { - enable_subreaper(); - } else { - RAY_LOG(INFO) << "Raylet is not set to kill unknown children."; - ray::SetSigchldIgnore(); - } + gcs_client->InternalKV().AsyncGetInternalConfig([&](::ray::Status status, + const std::optional + &stored_raylet_config) { + RAY_CHECK_OK(status); + RAY_CHECK(stored_raylet_config.has_value()); + RayConfig::instance().initialize(*stored_raylet_config); + ray::asio::testing::Init(); + ray::rpc::testing::Init(); + + // Core worker tries to kill child processes when it exits. But they can't do + // it perfectly: if the core worker is killed by SIGKILL, the child processes + // leak. So in raylet we also kill child processes via Linux subreaper. + // Only works on Linux >= 3.4. + if (RayConfig::instance() + .kill_child_processes_on_worker_exit_with_raylet_subreaper()) { + enable_subreaper(); + } else { + RAY_LOG(INFO) << "Raylet is not set to kill unknown children."; + ray::SetSigchldIgnore(); + } - // Parse the worker port list. - std::istringstream worker_port_list_string(worker_port_list); - std::string worker_port; - std::vector worker_ports; + // Parse the worker port list. + std::istringstream worker_port_list_string(worker_port_list); + std::string worker_port; + std::vector worker_ports; - while (std::getline(worker_port_list_string, worker_port, ',')) { - worker_ports.push_back(std::stoi(worker_port)); - } + while (std::getline(worker_port_list_string, worker_port, ',')) { + worker_ports.push_back(std::stoi(worker_port)); + } - // Parse the resource list. - std::istringstream resource_string(static_resource_list); - std::string resource_name; - std::string resource_quantity; + // Parse the resource list. + std::istringstream resource_string(static_resource_list); + std::string resource_name; + std::string resource_quantity; - while (std::getline(resource_string, resource_name, ',')) { - RAY_CHECK(std::getline(resource_string, resource_quantity, ',')); - static_resource_conf[resource_name] = std::stod(resource_quantity); - } - auto num_cpus_it = static_resource_conf.find("CPU"); - int num_cpus = num_cpus_it != static_resource_conf.end() - ? static_cast(num_cpus_it->second) - : 0; - - node_manager_config.raylet_config = *stored_raylet_config; - node_manager_config.resource_config = ray::ResourceSet(static_resource_conf); - RAY_LOG(DEBUG) << "Starting raylet with static resource configuration: " - << node_manager_config.resource_config.DebugString(); - node_manager_config.node_manager_address = node_ip_address; - node_manager_config.node_manager_port = node_manager_port; - node_manager_config.num_workers_soft_limit = - RayConfig::instance().num_workers_soft_limit(); - node_manager_config.num_prestart_python_workers = num_prestart_python_workers; - node_manager_config.maximum_startup_concurrency = maximum_startup_concurrency; - node_manager_config.runtime_env_agent_port = runtime_env_agent_port; - node_manager_config.min_worker_port = min_worker_port; - node_manager_config.max_worker_port = max_worker_port; - node_manager_config.worker_ports = worker_ports; - node_manager_config.labels = parse_node_labels(labels_json_str); - - if (!python_worker_command.empty()) { - node_manager_config.worker_commands.emplace( - make_pair(ray::Language::PYTHON, ParseCommandLine(python_worker_command))); - } - if (!java_worker_command.empty()) { - node_manager_config.worker_commands.emplace( - make_pair(ray::Language::JAVA, ParseCommandLine(java_worker_command))); - } - if (!cpp_worker_command.empty()) { - node_manager_config.worker_commands.emplace( - make_pair(ray::Language::CPP, ParseCommandLine(cpp_worker_command))); - } - node_manager_config.native_library_path = native_library_path; - if (python_worker_command.empty() && java_worker_command.empty() && - cpp_worker_command.empty()) { - RAY_LOG(FATAL) << "At least one of Python/Java/CPP worker command " - << "should be provided"; - } - if (dashboard_agent_command.empty()) { - RAY_LOG(FATAL) << "Dashboard agent command must be non empty"; - } - node_manager_config.dashboard_agent_command = dashboard_agent_command; + while (std::getline(resource_string, resource_name, ',')) { + RAY_CHECK(std::getline(resource_string, resource_quantity, ',')); + static_resource_conf[resource_name] = std::stod(resource_quantity); + } + auto num_cpus_it = static_resource_conf.find("CPU"); + int num_cpus = num_cpus_it != static_resource_conf.end() + ? static_cast(num_cpus_it->second) + : 0; + + node_manager_config.raylet_config = *stored_raylet_config; + node_manager_config.resource_config = ray::ResourceSet(static_resource_conf); + RAY_LOG(DEBUG) << "Starting raylet with static resource configuration: " + << node_manager_config.resource_config.DebugString(); + node_manager_config.node_manager_address = node_ip_address; + node_manager_config.node_manager_port = node_manager_port; + node_manager_config.num_workers_soft_limit = + RayConfig::instance().num_workers_soft_limit(); + node_manager_config.num_prestart_python_workers = num_prestart_python_workers; + node_manager_config.maximum_startup_concurrency = maximum_startup_concurrency; + node_manager_config.runtime_env_agent_port = runtime_env_agent_port; + node_manager_config.min_worker_port = min_worker_port; + node_manager_config.max_worker_port = max_worker_port; + node_manager_config.worker_ports = worker_ports; + node_manager_config.labels = parse_node_labels(labels_json_str); + + if (!python_worker_command.empty()) { + node_manager_config.worker_commands.emplace( + make_pair(ray::Language::PYTHON, ParseCommandLine(python_worker_command))); + } + if (!java_worker_command.empty()) { + node_manager_config.worker_commands.emplace( + make_pair(ray::Language::JAVA, ParseCommandLine(java_worker_command))); + } + if (!cpp_worker_command.empty()) { + node_manager_config.worker_commands.emplace( + make_pair(ray::Language::CPP, ParseCommandLine(cpp_worker_command))); + } + node_manager_config.native_library_path = native_library_path; + if (python_worker_command.empty() && java_worker_command.empty() && + cpp_worker_command.empty()) { + RAY_LOG(FATAL) << "At least one of Python/Java/CPP worker command " + << "should be provided"; + } + if (dashboard_agent_command.empty()) { + RAY_LOG(FATAL) << "Dashboard agent command must be non empty"; + } + node_manager_config.dashboard_agent_command = dashboard_agent_command; - if (runtime_env_agent_command.empty()) { - RAY_LOG(FATAL) << "Runtime env agent command must be non empty"; - } - node_manager_config.runtime_env_agent_command = runtime_env_agent_command; - - node_manager_config.report_resources_period_ms = - RayConfig::instance().raylet_report_resources_period_milliseconds(); - node_manager_config.record_metrics_period_ms = - RayConfig::instance().metrics_report_interval_ms() / 2; - node_manager_config.store_socket_name = store_socket_name; - node_manager_config.log_dir = log_dir; - node_manager_config.session_dir = session_dir; - node_manager_config.resource_dir = resource_dir; - node_manager_config.ray_debugger_external = ray_debugger_external; - node_manager_config.max_io_workers = RayConfig::instance().max_io_workers(); - - // Configuration for the object manager. - ray::ObjectManagerConfig object_manager_config; - object_manager_config.object_manager_address = node_ip_address; - object_manager_config.object_manager_port = object_manager_port; - object_manager_config.store_socket_name = store_socket_name; - - object_manager_config.timer_freq_ms = - RayConfig::instance().object_manager_timer_freq_ms(); - object_manager_config.pull_timeout_ms = - RayConfig::instance().object_manager_pull_timeout_ms(); - object_manager_config.push_timeout_ms = - RayConfig::instance().object_manager_push_timeout_ms(); - if (object_store_memory <= 0) { - RAY_LOG(FATAL) << "Object store memory should be set."; - } - object_manager_config.object_store_memory = object_store_memory; - object_manager_config.max_bytes_in_flight = - RayConfig::instance().object_manager_max_bytes_in_flight(); - object_manager_config.plasma_directory = plasma_directory; - object_manager_config.fallback_directory = fallback_directory; - object_manager_config.huge_pages = huge_pages; - - object_manager_config.rpc_service_threads_number = - std::min(std::max(2, num_cpus / 4), 8); - if (RayConfig::instance().object_manager_rpc_threads_num() != 0) { - object_manager_config.rpc_service_threads_number = - RayConfig::instance().object_manager_rpc_threads_num(); - } - object_manager_config.object_chunk_size = - RayConfig::instance().object_manager_default_chunk_size(); - - RAY_LOG(DEBUG) << "Starting object manager with configuration: \n" - << "rpc_service_threads_number = " - << object_manager_config.rpc_service_threads_number - << ", object_chunk_size = " - << object_manager_config.object_chunk_size; - // Initialize stats. - const ray::stats::TagsType global_tags = { - {ray::stats::ComponentKey, "raylet"}, - {ray::stats::WorkerIdKey, ""}, - {ray::stats::VersionKey, kRayVersion}, - {ray::stats::NodeAddressKey, node_ip_address}, - {ray::stats::SessionNameKey, session_name}}; - ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); - - RAY_LOG(INFO).WithField(raylet_node_id) << "Setting node ID"; - - node_manager_config.AddDefaultLabels(raylet_node_id.Hex()); - - worker_pool = std::make_unique( - main_service, - raylet_node_id, - node_manager_config.node_manager_address, - [&]() { - // Callback to determine the maximum number of idle workers to - // keep around. - if (node_manager_config.num_workers_soft_limit >= 0) { - return node_manager_config.num_workers_soft_limit; - } - // If no limit is provided, use the available number of CPUs, - // assuming that each incoming task will likely require 1 CPU. - // We floor the available CPUs to the nearest integer to avoid - // starting too many workers when there is less than 1 CPU left. - // Otherwise, we could end up repeatedly starting the worker, then - // killing it because it idles for too long. The downside is that - // we will be slower to schedule tasks that could use a fraction - // of a CPU. - return static_cast( - cluster_resource_scheduler->GetLocalResourceManager() - .GetLocalAvailableCpus()); - }, - node_manager_config.num_prestart_python_workers, - node_manager_config.maximum_startup_concurrency, - node_manager_config.min_worker_port, - node_manager_config.max_worker_port, - node_manager_config.worker_ports, - *gcs_client, - node_manager_config.worker_commands, - node_manager_config.native_library_path, - /*starting_worker_timeout_callback=*/ - [&] { cluster_task_manager->ScheduleAndDispatchTasks(); }, - node_manager_config.ray_debugger_external, - /*get_time=*/[]() { return absl::Now(); }, - node_manager_config.enable_resource_isolation); - - client_call_manager = std::make_unique( - main_service, /*record_stats=*/true); - - worker_rpc_pool = std::make_unique( - [&](const ray::rpc::Address &addr) { - return std::make_shared( - addr, - *client_call_manager, - ray::rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( - gcs_client.get(), - worker_rpc_pool.get(), - [&](const std::string &node_manager_address, int32_t port) { - return std::make_shared( - ray::rpc::NodeManagerWorkerClient::make( - node_manager_address, port, *client_call_manager)); - }, - addr)); - }); - - core_worker_subscriber = std::make_unique( - raylet_node_id, - /*channels=*/ - std::vector{ - ray::rpc::ChannelType::WORKER_OBJECT_EVICTION, - ray::rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, - ray::rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, - RayConfig::instance().max_command_batch_size(), - /*get_client=*/ - [&](const ray::rpc::Address &address) { - return worker_rpc_pool->GetOrConnect(address); - }, - &main_service); - - object_directory = std::make_unique( - main_service, - *gcs_client, - core_worker_subscriber.get(), - worker_rpc_pool.get(), - [&](const ObjectID &obj_id, const ray::rpc::ErrorType &error_type) { - ray::rpc::ObjectReference ref; - ref.set_object_id(obj_id.Binary()); - node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); - }); - - object_manager = std::make_unique( - main_service, - raylet_node_id, - object_manager_config, - *gcs_client, - object_directory.get(), - /*restore_spilled_object=*/ - [&](const ObjectID &object_id, - int64_t object_size, - const std::string &object_url, - std::function callback) { - local_object_manager->AsyncRestoreSpilledObject( - object_id, object_size, object_url, std::move(callback)); - }, - /*get_spilled_object_url=*/ - [&](const ObjectID &object_id) { - return local_object_manager->GetLocalSpilledObjectURL(object_id); - }, - /*spill_objects_callback=*/ - [&]() { - // This callback is called from the plasma store thread. - // NOTE: It means the local object manager should be thread-safe. - main_service.post( - [&]() { local_object_manager->SpillObjectUptoMaxThroughput(); }, - "NodeManager.SpillObjects"); - return local_object_manager->IsSpillingInProgress(); - }, - /*object_store_full_callback=*/ - [&]() { - // Post on the node manager's event loop since this - // callback is called from the plasma store thread. - // This will help keep node manager lock-less. - main_service.post([&]() { node_manager->TriggerGlobalGC(); }, - "NodeManager.GlobalGC"); - }, - /*add_object_callback=*/ - [&](const ray::ObjectInfo &object_info) { - node_manager->HandleObjectLocal(object_info); - }, - /*delete_object_callback=*/ - [&](const ObjectID &object_id) { - node_manager->HandleObjectMissing(object_id); - }, - /*pin_object=*/ - [&](const ObjectID &object_id) { - std::vector object_ids = {object_id}; - std::vector> results; - std::unique_ptr result; - if (node_manager->GetObjectsFromPlasma(object_ids, &results) && - results.size() > 0) { - result = std::move(results[0]); - } - return result; - }, - /*fail_pull_request=*/ - [&](const ObjectID &object_id, ray::rpc::ErrorType error_type) { - ray::rpc::ObjectReference ref; - ref.set_object_id(object_id.Binary()); - node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); - }); - - local_object_manager = std::make_unique( - raylet_node_id, - node_manager_config.node_manager_address, - node_manager_config.node_manager_port, - main_service, - RayConfig::instance().free_objects_batch_size(), - RayConfig::instance().free_objects_period_milliseconds(), - *worker_pool, - *worker_rpc_pool, - /*max_io_workers*/ node_manager_config.max_io_workers, - /*is_external_storage_type_fs*/ - RayConfig::instance().is_external_storage_type_fs(), - /*max_fused_object_count*/ RayConfig::instance().max_fused_object_count(), - /*on_objects_freed*/ - [&](const std::vector &object_ids) { - object_manager->FreeObjects(object_ids, - /*local_only=*/false); - }, - /*is_plasma_object_spillable*/ - [&](const ObjectID &object_id) { - return object_manager->IsPlasmaObjectSpillable(object_id); - }, - /*core_worker_subscriber_=*/core_worker_subscriber.get(), - object_directory.get()); - - dependency_manager = - std::make_unique(*object_manager); - - cluster_resource_scheduler = std::make_unique( - main_service, - ray::scheduling::NodeID(raylet_node_id.Binary()), - node_manager_config.resource_config.GetResourceMap(), - /*is_node_available_fn*/ - [&](ray::scheduling::NodeID node_id) { - return gcs_client->Nodes().Get(NodeID::FromBinary(node_id.Binary())) != - nullptr; - }, - /*get_used_object_store_memory*/ - [&]() { - if (RayConfig::instance().scheduler_report_pinned_bytes_only()) { - // Get the current bytes used by local primary object copies. This - // is used to help node scale down decisions. A node can only be - // safely drained when this function reports zero. - int64_t bytes_used = local_object_manager->GetPrimaryBytes(); - // Report nonzero if we have objects spilled to the local filesystem. - if (bytes_used == 0 && local_object_manager->HasLocallySpilledObjects()) { - bytes_used = 1; - } - return bytes_used; - } - return object_manager->GetUsedMemory(); - }, - /*get_pull_manager_at_capacity*/ - [&]() { return object_manager->PullManagerHasPullsQueued(); }, - shutdown_raylet_gracefully, - /*labels*/ - node_manager_config.labels); - - auto get_node_info_func = [&](const NodeID &node_id) { - return gcs_client->Nodes().Get(node_id); - }; - auto announce_infeasible_task = [](const ray::RayTask &task) { - /// Publish the infeasible task error to GCS so that drivers can subscribe to it - /// and print. - bool suppress_warning = false; - - if (!task.GetTaskSpecification().PlacementGroupBundleId().first.IsNil()) { - // If the task is part of a placement group, do nothing. If necessary, the - // infeasible warning should come from the placement group scheduling, not the - // task scheduling. - suppress_warning = true; + if (runtime_env_agent_command.empty()) { + RAY_LOG(FATAL) << "Runtime env agent command must be non empty"; + } + node_manager_config.runtime_env_agent_command = runtime_env_agent_command; + + node_manager_config.report_resources_period_ms = + RayConfig::instance().raylet_report_resources_period_milliseconds(); + node_manager_config.record_metrics_period_ms = + RayConfig::instance().metrics_report_interval_ms() / 2; + node_manager_config.store_socket_name = store_socket_name; + node_manager_config.log_dir = log_dir; + node_manager_config.session_dir = session_dir; + node_manager_config.resource_dir = resource_dir; + node_manager_config.ray_debugger_external = ray_debugger_external; + node_manager_config.max_io_workers = RayConfig::instance().max_io_workers(); + + // Configuration for the object manager. + ray::ObjectManagerConfig object_manager_config; + object_manager_config.object_manager_address = node_ip_address; + object_manager_config.object_manager_port = object_manager_port; + object_manager_config.store_socket_name = store_socket_name; + + object_manager_config.timer_freq_ms = + RayConfig::instance().object_manager_timer_freq_ms(); + object_manager_config.pull_timeout_ms = + RayConfig::instance().object_manager_pull_timeout_ms(); + object_manager_config.push_timeout_ms = + RayConfig::instance().object_manager_push_timeout_ms(); + if (object_store_memory <= 0) { + RAY_LOG(FATAL) << "Object store memory should be set."; + } + object_manager_config.object_store_memory = object_store_memory; + object_manager_config.max_bytes_in_flight = + RayConfig::instance().object_manager_max_bytes_in_flight(); + object_manager_config.plasma_directory = plasma_directory; + object_manager_config.fallback_directory = fallback_directory; + object_manager_config.huge_pages = huge_pages; + + object_manager_config.rpc_service_threads_number = + std::min(std::max(2, num_cpus / 4), 8); + if (RayConfig::instance().object_manager_rpc_threads_num() != 0) { + object_manager_config.rpc_service_threads_number = + RayConfig::instance().object_manager_rpc_threads_num(); + } + object_manager_config.object_chunk_size = + RayConfig::instance().object_manager_default_chunk_size(); + + RAY_LOG(DEBUG) << "Starting object manager with configuration: \n" + << "rpc_service_threads_number = " + << object_manager_config.rpc_service_threads_number + << ", object_chunk_size = " << object_manager_config.object_chunk_size; + // Initialize stats. + const ray::stats::TagsType global_tags = { + {ray::stats::ComponentKey, "raylet"}, + {ray::stats::WorkerIdKey, ""}, + {ray::stats::VersionKey, kRayVersion}, + {ray::stats::NodeAddressKey, node_ip_address}, + {ray::stats::SessionNameKey, session_name}}; + ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); + + RAY_LOG(INFO).WithField(raylet_node_id) << "Setting node ID"; + + node_manager_config.AddDefaultLabels(raylet_node_id.Hex()); + + worker_pool = std::make_unique( + main_service, + raylet_node_id, + node_manager_config.node_manager_address, + [&]() { + // Callback to determine the maximum number of idle workers to + // keep around. + if (node_manager_config.num_workers_soft_limit >= 0) { + return node_manager_config.num_workers_soft_limit; } - - // Push a warning to the task's driver that this task is currently infeasible. - if (!suppress_warning) { - std::ostringstream error_message; - error_message - << "The actor or task with ID " << task.GetTaskSpecification().TaskId() - << " cannot be scheduled right now. It requires " - << task.GetTaskSpecification() - .GetRequiredPlacementResources() - .DebugString() - << " for placement, however the cluster currently cannot provide the " - "requested " - "resources. The required resources may be added as autoscaling takes " - "place " - "or placement groups are scheduled. Otherwise, consider reducing the " - "resource requirements of the task."; - std::string error_message_str = error_message.str(); - RAY_LOG(WARNING) << error_message_str; + // If no limit is provided, use the available number of CPUs, + // assuming that each incoming task will likely require 1 CPU. + // We floor the available CPUs to the nearest integer to avoid + // starting too many workers when there is less than 1 CPU left. + // Otherwise, we could end up repeatedly starting the worker, then + // killing it because it idles for too long. The downside is that + // we will be slower to schedule tasks that could use a fraction + // of a CPU. + return static_cast( + cluster_resource_scheduler->GetLocalResourceManager() + .GetLocalAvailableCpus()); + }, + node_manager_config.num_prestart_python_workers, + node_manager_config.maximum_startup_concurrency, + node_manager_config.min_worker_port, + node_manager_config.max_worker_port, + node_manager_config.worker_ports, + *gcs_client, + node_manager_config.worker_commands, + node_manager_config.native_library_path, + /*starting_worker_timeout_callback=*/ + [&] { cluster_task_manager->ScheduleAndDispatchTasks(); }, + node_manager_config.ray_debugger_external, + /*get_time=*/[]() { return absl::Now(); }, + node_manager_config.enable_resource_isolation); + + client_call_manager = std::make_unique( + main_service, /*record_stats=*/true); + + worker_rpc_pool = std::make_unique( + [&](const ray::rpc::Address &addr) { + return std::make_shared( + addr, + *client_call_manager, + ray::rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( + gcs_client.get(), + worker_rpc_pool.get(), + [&](const std::string &node_manager_address, int32_t port) { + return std::make_shared( + ray::rpc::NodeManagerWorkerClient::make( + node_manager_address, port, *client_call_manager)); + }, + addr)); + }); + + core_worker_subscriber = std::make_unique( + raylet_node_id, + /*channels=*/ + std::vector{ + ray::rpc::ChannelType::WORKER_OBJECT_EVICTION, + ray::rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, + ray::rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, + RayConfig::instance().max_command_batch_size(), + /*get_client=*/ + [&](const ray::rpc::Address &address) { + return worker_rpc_pool->GetOrConnect(address); + }, + &main_service); + + object_directory = std::make_unique( + main_service, + *gcs_client, + core_worker_subscriber.get(), + worker_rpc_pool.get(), + [&](const ObjectID &obj_id, const ray::rpc::ErrorType &error_type) { + ray::rpc::ObjectReference ref; + ref.set_object_id(obj_id.Binary()); + node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); + }); + + object_manager = std::make_unique( + main_service, + raylet_node_id, + object_manager_config, + *gcs_client, + object_directory.get(), + /*restore_spilled_object=*/ + [&](const ObjectID &object_id, + int64_t object_size, + const std::string &object_url, + std::function callback) { + local_object_manager->AsyncRestoreSpilledObject( + object_id, object_size, object_url, std::move(callback)); + }, + /*get_spilled_object_url=*/ + [&](const ObjectID &object_id) { + return local_object_manager->GetLocalSpilledObjectURL(object_id); + }, + /*spill_objects_callback=*/ + [&]() { + // This callback is called from the plasma store thread. + // NOTE: It means the local object manager should be thread-safe. + main_service.post( + [&]() { local_object_manager->SpillObjectUptoMaxThroughput(); }, + "NodeManager.SpillObjects"); + return local_object_manager->IsSpillingInProgress(); + }, + /*object_store_full_callback=*/ + [&]() { + // Post on the node manager's event loop since this + // callback is called from the plasma store thread. + // This will help keep node manager lock-less. + main_service.post([&]() { node_manager->TriggerGlobalGC(); }, + "NodeManager.GlobalGC"); + }, + /*add_object_callback=*/ + [&](const ray::ObjectInfo &object_info) { + node_manager->HandleObjectLocal(object_info); + }, + /*delete_object_callback=*/ + [&](const ObjectID &object_id) { node_manager->HandleObjectMissing(object_id); }, + /*pin_object=*/ + [&](const ObjectID &object_id) { + std::vector object_ids = {object_id}; + std::vector> results; + std::unique_ptr result; + if (node_manager->GetObjectsFromPlasma(object_ids, &results) && + results.size() > 0) { + result = std::move(results[0]); } - }; - - RAY_CHECK(RayConfig::instance().max_task_args_memory_fraction() > 0 && - RayConfig::instance().max_task_args_memory_fraction() <= 1) - << "max_task_args_memory_fraction must be a nonzero fraction."; - auto max_task_args_memory = - static_cast(static_cast(object_manager->GetMemoryCapacity()) * - RayConfig::instance().max_task_args_memory_fraction()); - if (max_task_args_memory <= 0) { - RAY_LOG(WARNING) - << "Max task args should be a fraction of the object store capacity, but " - "object " - "store capacity is zero or negative. Allowing task args to use 100% of " - "the " - "local object store. This can cause ObjectStoreFullErrors if the tasks' " - "return values are greater than the remaining capacity."; - max_task_args_memory = 0; - } + return result; + }, + /*fail_pull_request=*/ + [&](const ObjectID &object_id, ray::rpc::ErrorType error_type) { + ray::rpc::ObjectReference ref; + ref.set_object_id(object_id.Binary()); + node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); + }); + + local_object_manager = std::make_unique( + raylet_node_id, + node_manager_config.node_manager_address, + node_manager_config.node_manager_port, + main_service, + RayConfig::instance().free_objects_batch_size(), + RayConfig::instance().free_objects_period_milliseconds(), + *worker_pool, + *worker_rpc_pool, + /*max_io_workers*/ node_manager_config.max_io_workers, + /*is_external_storage_type_fs*/ + RayConfig::instance().is_external_storage_type_fs(), + /*max_fused_object_count*/ RayConfig::instance().max_fused_object_count(), + /*on_objects_freed*/ + [&](const std::vector &object_ids) { + object_manager->FreeObjects(object_ids, + /*local_only=*/false); + }, + /*is_plasma_object_spillable*/ + [&](const ObjectID &object_id) { + return object_manager->IsPlasmaObjectSpillable(object_id); + }, + /*core_worker_subscriber_=*/core_worker_subscriber.get(), + object_directory.get()); + + dependency_manager = + std::make_unique(*object_manager); + + cluster_resource_scheduler = std::make_unique( + main_service, + ray::scheduling::NodeID(raylet_node_id.Binary()), + node_manager_config.resource_config.GetResourceMap(), + /*is_node_available_fn*/ + [&](ray::scheduling::NodeID node_id) { + return gcs_client->Nodes().Get(NodeID::FromBinary(node_id.Binary())) != nullptr; + }, + /*get_used_object_store_memory*/ + [&]() { + if (RayConfig::instance().scheduler_report_pinned_bytes_only()) { + // Get the current bytes used by local primary object copies. This + // is used to help node scale down decisions. A node can only be + // safely drained when this function reports zero. + int64_t bytes_used = local_object_manager->GetPrimaryBytes(); + // Report nonzero if we have objects spilled to the local filesystem. + if (bytes_used == 0 && local_object_manager->HasLocallySpilledObjects()) { + bytes_used = 1; + } + return bytes_used; + } + return object_manager->GetUsedMemory(); + }, + /*get_pull_manager_at_capacity*/ + [&]() { return object_manager->PullManagerHasPullsQueued(); }, + shutdown_raylet_gracefully, + /*labels*/ + node_manager_config.labels); + + auto get_node_info_func = [&](const NodeID &node_id) { + return gcs_client->Nodes().Get(node_id); + }; + auto announce_infeasible_task = [](const ray::RayTask &task) { + /// Publish the infeasible task error to GCS so that drivers can subscribe to it + /// and print. + bool suppress_warning = false; + + if (!task.GetTaskSpecification().PlacementGroupBundleId().first.IsNil()) { + // If the task is part of a placement group, do nothing. If necessary, the + // infeasible warning should come from the placement group scheduling, not the + // task scheduling. + suppress_warning = true; + } - local_task_manager = std::make_unique( - raylet_node_id, - *cluster_resource_scheduler, - *dependency_manager, - get_node_info_func, - *worker_pool, - leased_workers, - [&](const std::vector &object_ids, - std::vector> *results) { - return node_manager->GetObjectsFromPlasma(object_ids, results); - }, - max_task_args_memory); - - cluster_task_manager = - std::make_unique(raylet_node_id, - *cluster_resource_scheduler, - get_node_info_func, - announce_infeasible_task, - *local_task_manager); - - auto raylet_client_factory = - [&](const NodeID &node_id, ray::rpc::ClientCallManager &client_call_manager) { - const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); - RAY_CHECK(node_info) << "No GCS info for node " << node_id; - std::shared_ptr raylet_client = - ray::rpc::NodeManagerWorkerClient::make( - node_info->node_manager_address(), - node_info->node_manager_port(), - client_call_manager); - return std::make_shared( - std::move(raylet_client)); - }; - - plasma_client = std::make_unique(); - node_manager = std::make_unique( - main_service, - raylet_node_id, - node_name, - node_manager_config, - *gcs_client, - *client_call_manager, - *worker_rpc_pool, - *core_worker_subscriber, - *cluster_resource_scheduler, - *local_task_manager, - *cluster_task_manager, - *object_directory, - *object_manager, - *local_object_manager, - *dependency_manager, - *worker_pool, - leased_workers, + // Push a warning to the task's driver that this task is currently infeasible. + if (!suppress_warning) { + std::ostringstream error_message; + error_message + << "The actor or task with ID " << task.GetTaskSpecification().TaskId() + << " cannot be scheduled right now. It requires " + << task.GetTaskSpecification().GetRequiredPlacementResources().DebugString() + << " for placement, however the cluster currently cannot provide the " + "requested " + "resources. The required resources may be added as autoscaling takes " + "place " + "or placement groups are scheduled. Otherwise, consider reducing the " + "resource requirements of the task."; + std::string error_message_str = error_message.str(); + RAY_LOG(WARNING) << error_message_str; + } + }; + + RAY_CHECK(RayConfig::instance().max_task_args_memory_fraction() > 0 && + RayConfig::instance().max_task_args_memory_fraction() <= 1) + << "max_task_args_memory_fraction must be a nonzero fraction."; + auto max_task_args_memory = + static_cast(static_cast(object_manager->GetMemoryCapacity()) * + RayConfig::instance().max_task_args_memory_fraction()); + if (max_task_args_memory <= 0) { + RAY_LOG(WARNING) + << "Max task args should be a fraction of the object store capacity, but " + "object " + "store capacity is zero or negative. Allowing task args to use 100% of " + "the " + "local object store. This can cause ObjectStoreFullErrors if the tasks' " + "return values are greater than the remaining capacity."; + max_task_args_memory = 0; + } + + local_task_manager = std::make_unique( + raylet_node_id, + *cluster_resource_scheduler, + *dependency_manager, + get_node_info_func, + *worker_pool, + leased_workers, + [&](const std::vector &object_ids, + std::vector> *results) { + return node_manager->GetObjectsFromPlasma(object_ids, results); + }, + max_task_args_memory); + + cluster_task_manager = + std::make_unique(raylet_node_id, + *cluster_resource_scheduler, + get_node_info_func, + announce_infeasible_task, + *local_task_manager); + + auto raylet_client_factory = [&](const NodeID &node_id, + ray::rpc::ClientCallManager &client_call_manager) { + const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); + RAY_CHECK(node_info) << "No GCS info for node " << node_id; + std::shared_ptr raylet_client = + ray::rpc::NodeManagerWorkerClient::make(node_info->node_manager_address(), + node_info->node_manager_port(), + client_call_manager); + return std::make_shared(std::move(raylet_client)); + }; + + plasma_client = std::make_unique(); + node_manager = std::make_unique( + main_service, + raylet_node_id, + node_name, + node_manager_config, + *gcs_client, + *client_call_manager, + *worker_rpc_pool, + *core_worker_subscriber, + *cluster_resource_scheduler, + *local_task_manager, + *cluster_task_manager, + *object_directory, + *object_manager, + *local_object_manager, + *dependency_manager, + *worker_pool, + leased_workers, + *plasma_client, + std::make_unique( *plasma_client, - std::make_unique( - *plasma_client, - std::move(raylet_client_factory), - /*check_signals=*/nullptr), - shutdown_raylet_gracefully); - - // Initialize the node manager. - raylet = std::make_unique(main_service, - raylet_node_id, - raylet_socket_name, - node_ip_address, - node_name, - node_manager_config, - object_manager_config, - *gcs_client, - metrics_export_port, - is_head_node, - *node_manager); - - // Initialize event framework. - if (RayConfig::instance().event_log_reporter_enabled() && !log_dir.empty()) { - const std::vector source_types = { - ray::rpc::Event_SourceType::Event_SourceType_RAYLET}; - ray::RayEventInit(source_types, - {{"node_id", raylet->GetNodeId().Hex()}}, - log_dir, - RayConfig::instance().event_level(), - RayConfig::instance().emit_event_to_log_file()); - }; - - raylet->Start(); - })); + std::move(raylet_client_factory), + /*check_signals=*/nullptr), + shutdown_raylet_gracefully); + + // Initialize the node manager. + raylet = std::make_unique(main_service, + raylet_node_id, + raylet_socket_name, + node_ip_address, + node_name, + node_manager_config, + object_manager_config, + *gcs_client, + metrics_export_port, + is_head_node, + *node_manager); + + // Initialize event framework. + if (RayConfig::instance().event_log_reporter_enabled() && !log_dir.empty()) { + const std::vector source_types = { + ray::rpc::Event_SourceType::Event_SourceType_RAYLET}; + ray::RayEventInit(source_types, + {{"node_id", raylet->GetNodeId().Hex()}}, + log_dir, + RayConfig::instance().event_level(), + RayConfig::instance().emit_event_to_log_file()); + }; + + raylet->Start(); + }); auto signal_handler = [&raylet, shutdown_raylet_gracefully_internal]( const boost::system::error_code &error, int signal_number) { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index bd195a95732a..2f9d9565b12a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -358,7 +358,7 @@ ray::Status NodeManager::RegisterGcs() { return; } checking = true; - RAY_CHECK_OK(gcs_client_.Nodes().AsyncCheckSelfAlive( + gcs_client_.Nodes().AsyncCheckSelfAlive( // capture checking ptr here because vs17 fail to compile [this, checking_ptr = &checking](auto status, auto alive) mutable { if ((status.ok() && !alive)) { @@ -375,7 +375,7 @@ ray::Status NodeManager::RegisterGcs() { } *checking_ptr = false; }, - /* timeout_ms = */ 30000)); + /* timeout_ms = */ 30000); }, RayConfig::instance().raylet_liveness_self_check_interval_ms(), "NodeManager.GcsCheckAlive"); @@ -1245,9 +1245,9 @@ void NodeManager::ProcessAnnounceWorkerPortMessageImpl( string_from_flatbuf(*message->entrypoint()), *job_config); - RAY_CHECK_OK(gcs_client_.Jobs().AsyncAdd(job_data_ptr, [this, client](Status status) { + gcs_client_.Jobs().AsyncAdd(job_data_ptr, [this, client](Status status) { SendPortAnnouncementResponse(client, std::move(status)); - })); + }); } } @@ -1418,8 +1418,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie disconnect_detail, worker->GetProcess().GetId(), creation_task_exception); - RAY_CHECK_OK( - gcs_client_.Workers().AsyncReportWorkerFailure(worker_failure_data_ptr, nullptr)); + gcs_client_.Workers().AsyncReportWorkerFailure(worker_failure_data_ptr, nullptr); if (is_worker) { const ActorID &actor_id = worker->GetActorId(); @@ -1461,7 +1460,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie << error_message_str; auto error_data_ptr = gcs::CreateErrorTableData( type, error_message_str, absl::FromUnixMillis(current_time_ms()), job_id); - RAY_CHECK_OK(gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr)); + gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); } } @@ -1477,7 +1476,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie // The client is a driver. const auto job_id = worker->GetAssignedJobId(); RAY_CHECK(!job_id.IsNil()); - RAY_CHECK_OK(gcs_client_.Jobs().AsyncMarkFinished(job_id, nullptr)); + gcs_client_.Jobs().AsyncMarkFinished(job_id, nullptr); worker_pool_.DisconnectDriver(worker); RAY_LOG(INFO).WithField(worker->WorkerId()).WithField(worker->GetAssignedJobId()) @@ -1691,7 +1690,7 @@ void NodeManager::ProcessPushErrorRequestMessage(const uint8_t *message_data) { JobID job_id = from_flatbuf(*message->job_id()); auto error_data_ptr = gcs::CreateErrorTableData( type, error_message, absl::FromUnixMillis(timestamp), job_id); - RAY_CHECK_OK(gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr)); + gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); } void NodeManager::HandleGetResourceLoad(rpc::GetResourceLoadRequest request, @@ -2125,7 +2124,7 @@ void NodeManager::MarkObjectsAsFailed( RAY_LOG(ERROR) << error_message; auto error_data_ptr = gcs::CreateErrorTableData( "task", error_message, absl::FromUnixMillis(current_time_ms()), job_id); - RAY_CHECK_OK(gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr)); + gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); } } } diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index f18e53262e74..8c927e54017f 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -544,10 +544,7 @@ TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { .WillRepeatedly(Return(false)); std::promise promise; EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncCheckSelfAlive(_, _)) - .WillOnce([&promise](const auto &, const auto &) { - promise.set_value(); - return Status::OK(); - }); + .WillOnce([&promise](const auto &, const auto &) { promise.set_value(); }); RAY_CHECK_OK(node_manager_->RegisterGcs()); std::thread thread{[this] { // Run the io_service in a separate thread to avoid blocking the main thread. @@ -565,8 +562,6 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { .WillOnce(Return(Status::OK())); EXPECT_CALL(*mock_gcs_client_->mock_job_accessor, AsyncSubscribeAll(_, _)) .WillOnce(Return(Status::OK())); - EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncCheckSelfAlive(_, _)) - .WillRepeatedly(Return(Status::OK())); EXPECT_CALL(mock_worker_pool_, GetAllRegisteredWorkers(_, _)) .WillRepeatedly(Return(std::vector>{})); EXPECT_CALL(mock_worker_pool_, GetAllRegisteredDrivers(_)) @@ -646,8 +641,6 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { .WillOnce(Return(Status::OK())); EXPECT_CALL(*mock_gcs_client_->mock_job_accessor, AsyncSubscribeAll(_, _)) .WillOnce(Return(Status::OK())); - EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncCheckSelfAlive(_, _)) - .WillRepeatedly(Return(Status::OK())); EXPECT_CALL(mock_worker_pool_, GetAllRegisteredWorkers(_, _)) .WillRepeatedly(Return(std::vector>{})); EXPECT_CALL(mock_worker_pool_, GetAllRegisteredDrivers(_)) diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 2047fba7af6a..cb30f8e2ba19 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -1719,7 +1719,7 @@ void WorkerPool::WarnAboutSize() { auto error_data_ptr = gcs::CreateErrorTableData( "worker_pool_large", warning_message_str, get_time_()); - RAY_CHECK_OK(gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr)); + gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); } } } From b71e7b8cb939ad8d991d05cc15f726fcaef844ff Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Fri, 18 Jul 2025 15:47:14 +0200 Subject: [PATCH 0265/1566] [RLlib] Remove `--enable-new-api-stack` option from all scripts (it's the new default) (#54702) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-examples.rst | 2 +- rllib/BUILD | 169 ++---------------- rllib/benchmarks/ppo/benchmark_atari_ppo.py | 3 +- .../actions/autoregressive_actions.py | 3 +- .../actions/custom_action_distribution.py | 3 +- .../examples/actions/nested_action_spaces.py | 1 - ...po_custom_algorithm_w_shared_data_actor.py | 3 +- .../algorithms/maml_lr_supervised_learning.py | 4 +- .../algorithms/vpg_custom_algorithm.py | 3 +- .../change_config_during_training.py | 3 +- .../checkpoint_by_custom_criteria.py | 10 +- .../continue_training_from_checkpoint.py | 11 +- rllib/examples/checkpoints/onnx_torch_lstm.py | 15 +- .../restore_1_of_n_agents_from_checkpoint.py | 3 +- .../flatten_observations_dict_space.py | 3 +- rllib/examples/connectors/frame_stacking.py | 3 +- .../examples/connectors/mean_std_filtering.py | 5 +- .../multi_agent_observation_preprocessor.py | 3 +- .../connectors/prev_actions_prev_rewards.py | 3 +- .../single_agent_observation_preprocessor.py | 3 +- .../curiosity/count_based_curiosity.py | 3 +- .../euclidian_distance_based_curiosity.py | 3 +- ...trinsic_curiosity_model_based_curiosity.py | 3 +- .../curriculum/curriculum_learning.py | 3 +- .../deterministic_sampling_and_training.py | 1 - rllib/examples/envs/agents_act_in_sequence.py | 3 +- .../envs/agents_act_simultaneously.py | 3 +- .../envs/async_gym_env_vectorization.py | 3 +- .../examples/envs/custom_env_render_method.py | 3 +- rllib/examples/envs/custom_gym_env.py | 6 +- .../env_connecting_to_rllib_w_tcp_client.py | 3 +- .../envs/env_rendering_and_recording.py | 3 +- .../envs/env_w_protobuf_observations.py | 3 +- .../examples/evaluation/custom_evaluation.py | 6 +- .../evaluation_parallel_to_training.py | 4 +- .../crashing_and_stalling_env.py | 3 +- .../gpus/float16_training_and_inference.py | 5 +- .../gpus/fractional_gpus_per_learner.py | 3 +- rllib/examples/gpus/gpus_on_env_runners.py | 3 +- ...ed_precision_training_float16_inference.py | 6 +- .../hierarchical/hierarchical_training.py | 3 +- .../policy_inference_after_training.py | 4 +- ...cy_inference_after_training_w_connector.py | 4 +- .../examples/learners/ppo_load_rl_modules.py | 78 -------- .../learners/ppo_with_custom_loss_fn.py | 6 +- .../learners/ppo_with_torch_lr_schedulers.py | 3 +- .../learners/separate_vf_lr_and_optimizer.py | 6 +- ...stom_metrics_in_algorithm_training_step.py | 4 +- .../metrics/custom_metrics_in_env_runners.py | 3 +- .../multi_agent/custom_heuristic_policy.py | 3 +- .../different_spaces_for_agents.py | 6 +- .../multi_agent/multi_agent_cartpole.py | 8 +- .../multi_agent/multi_agent_pendulum.py | 8 +- .../pettingzoo_independent_learning.py | 5 +- .../pettingzoo_parameter_sharing.py | 5 +- ...ock_paper_scissors_heuristic_vs_learned.py | 3 +- .../rock_paper_scissors_learned_vs_learned.py | 1 - .../self_play_league_based_with_open_spiel.py | 13 +- .../multi_agent/self_play_with_open_spiel.py | 12 +- .../two_step_game_with_grouped_agents.py | 5 +- .../examples/offline_rl/cartpole_recording.py | 5 +- ...bc_single_agent_evaluate_as_multi_agent.py | 4 +- .../offline_rl/train_w_bc_finetune_w_ppo.py | 3 +- rllib/examples/quadx_waypoints.py | 2 +- .../ray_serve/ray_serve_with_rllib.py | 3 +- .../rl_modules/action_masking_rl_module.py | 2 +- .../rl_modules/custom_cnn_rl_module.py | 7 +- .../rl_modules/custom_lstm_rl_module.py | 3 +- ...ining_single_agent_training_multi_agent.py | 6 +- rllib/tuned_examples/appo/cartpole_appo.py | 1 - rllib/tuned_examples/appo/halfcheetah_appo.py | 1 - .../appo/multi_agent_cartpole_appo.py | 1 - .../appo/multi_agent_pong_appo.py | 1 - .../multi_agent_stateless_cartpole_appo.py | 1 - rllib/tuned_examples/appo/pendulum_appo.py | 1 - rllib/tuned_examples/appo/pong_appo.py | 1 - .../appo/stateless_cartpole_appo.py | 1 - rllib/tuned_examples/bc/cartpole_bc.py | 1 - .../bc/cartpole_bc_with_offline_evaluation.py | 1 - rllib/tuned_examples/cql/pendulum_cql.py | 1 - rllib/tuned_examples/dqn/cartpole_dqn.py | 1 - .../dqn/multi_agent_cartpole_dqn.py | 1 - .../dqn/stateless_cartpole_dqn.py | 1 - .../tuned_examples/impala/cartpole_impala.py | 1 - .../impala/heavy_cartpole_impala.py | 1 - .../impala/multi_agent_cartpole_impala.py | 1 - .../multi_agent_stateless_cartpole_impala.py | 1 - .../tuned_examples/impala/pendulum_impala.py | 1 - rllib/tuned_examples/impala/pong_impala.py | 1 - .../impala/stateless_cartpole_impala.py | 1 - .../tuned_examples/marwil/cartpole_marwil.py | 1 - rllib/tuned_examples/ppo/atari_ppo.py | 1 - .../tuned_examples/ppo/cartpole_heavy_ppo.py | 1 - rllib/tuned_examples/ppo/cartpole_ppo.py | 1 - .../ppo/cartpole_truncated_ppo.py | 1 - .../ppo/multi_agent_cartpole_ppo.py | 1 - .../ppo/multi_agent_pendulum_ppo.py | 1 - .../ppo/multi_agent_stateless_cartpole_ppo.py | 1 - rllib/tuned_examples/ppo/pendulum_ppo.py | 1 - .../ppo/stateless_cartpole_ppo.py | 1 - rllib/tuned_examples/sac/halfcheetah_sac.py | 1 - rllib/tuned_examples/sac/humanoid_sac.py | 1 - rllib/tuned_examples/sac/mountaincar_sac.py | 1 - .../sac/multi_agent_pendulum_sac.py | 1 - rllib/tuned_examples/sac/pendulum_sac.py | 1 - rllib/utils/test_utils.py | 27 ++- 106 files changed, 145 insertions(+), 456 deletions(-) delete mode 100644 rllib/examples/learners/ppo_load_rl_modules.py diff --git a/doc/source/rllib/rllib-examples.rst b/doc/source/rllib/rllib-examples.rst index 5093c03817d8..f32307de0bfa 100644 --- a/doc/source/rllib/rllib-examples.rst +++ b/doc/source/rllib/rllib-examples.rst @@ -39,7 +39,7 @@ directory and run the script as-is with python: .. code-block:: bash $ cd ray/rllib/examples/multi_agent - $ python multi_agent_pendulum.py --enable-new-api-stack --num-agents=2 + $ python multi_agent_pendulum.py --num-agents=2 Use the `--help` command line argument to have each script print out its supported command line options. diff --git a/rllib/BUILD b/rllib/BUILD index faf30b763f14..26113a8cff25 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -426,7 +426,7 @@ py_test( # tags = ["team:rllib", "exclusive", "learning_tests", "torch_only", "learning_tests_discrete", "learning_tests_pytorch_use_all_core"], # size = "large", # srcs = ["tuned_examples/appo/multi_agent_stateless_cartpole_appo.py"], -# args = ["--as-test", "--enable-new-api-stack"] +# args = ["--as-test"] # ) # py_test( # name = "learning_tests_multi_agent_stateless_cartpole_appo_gpu", @@ -434,7 +434,7 @@ py_test( # tags = ["team:rllib", "exclusive", "learning_tests", "torch_only", "learning_tests_discrete", "learning_tests_pytorch_use_all_core", "gpu"], # size = "large", # srcs = ["tuned_examples/appo/multi_agent_stateless_cartpole_appo.py"], -# args = ["--as-test", "--enable-new-api-stack", "--num-agents=2", "--num-gpus-per-learner=1"] +# args = ["--as-test", "--num-agents=2", "--num-gpus-per-learner=1"] # ) # py_test( # name = "learning_tests_multi_agent_stateless_cartpole_appo_multi_cpu", @@ -442,7 +442,7 @@ py_test( # tags = ["team:rllib", "exclusive", "learning_tests", "torch_only", "learning_tests_discrete", "learning_tests_pytorch_use_all_core"], # size = "large", # srcs = ["tuned_examples/appo/multi_agent_stateless_cartpole_appo.py"], -# args = ["--as-test", "--enable-new-api-stack", "--num-learners=2"] +# args = ["--as-test", "--num-learners=2"] # ) # py_test( # name = "learning_tests_multi_agent_stateless_cartpole_appo_multi_gpu", @@ -450,7 +450,7 @@ py_test( # tags = ["team:rllib", "exclusive", "learning_tests", "torch_only", "learning_tests_discrete", "learning_tests_pytorch_use_all_core", "multi_gpu"], # size = "large", # srcs = ["tuned_examples/appo/multi_agent_stateless_cartpole_appo.py"], -# args = ["--as-test", "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1"] +# args = ["--as-test", "--num-learners=2", "--num-gpus-per-learner=1"] # ) # Pendulum py_test( @@ -520,7 +520,6 @@ py_test( srcs = ["tuned_examples/bc/cartpole_bc.py"], args = [ "--as-test", - "--enable-new-api-stack", ], # Include the offline data files. data = [ @@ -543,7 +542,6 @@ py_test( srcs = ["tuned_examples/bc/cartpole_bc.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-gpus-per-learner=1", ], # Include the offline data files. @@ -570,7 +568,6 @@ py_test( srcs = ["tuned_examples/bc/cartpole_bc_with_offline_evaluation.py"], args = [ "--as-test", - "--enable-new-api-stack", "--offline-evaluation-interval=1", "--num-offline-eval-runners=2", ], @@ -595,7 +592,6 @@ py_test( srcs = ["tuned_examples/bc/cartpole_bc_with_offline_evaluation.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-gpus-per-learner=1", "--offline-evaluation-interval=1", "--num-offline-eval-runners=2", @@ -625,7 +621,6 @@ py_test( srcs = ["tuned_examples/cql/pendulum_cql.py"], args = [ "--as-test", - "--enable-new-api-stack", ], # Include the zipped json data file as well. data = [ @@ -652,7 +647,6 @@ py_test( srcs = ["tuned_examples/cql/pendulum_cql.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-gpus-per-learner=1", ], # Include the zipped json data file as well. @@ -682,7 +676,6 @@ py_test( srcs = ["tuned_examples/dqn/cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/dqn/cartpole_dqn.py", tags = [ @@ -701,7 +694,6 @@ py_test( srcs = ["tuned_examples/dqn/cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -723,7 +715,6 @@ py_test( srcs = ["tuned_examples/dqn/cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/dqn/cartpole_dqn.py", @@ -743,7 +734,6 @@ py_test( srcs = ["tuned_examples/dqn/cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -768,7 +758,6 @@ py_test( srcs = ["tuned_examples/dqn/multi_agent_cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=4", ], @@ -789,7 +778,6 @@ py_test( srcs = ["tuned_examples/dqn/multi_agent_cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=4", "--num-learners=1", @@ -813,7 +801,6 @@ py_test( srcs = ["tuned_examples/dqn/multi_agent_cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=5", "--num-learners=2", @@ -835,7 +822,6 @@ py_test( srcs = ["tuned_examples/dqn/multi_agent_cartpole_dqn.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=4", "--num-learners=2", @@ -861,7 +847,6 @@ py_test( srcs = ["tuned_examples/impala/cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/impala/cartpole_impala.py", tags = [ @@ -879,7 +864,6 @@ py_test( srcs = ["tuned_examples/impala/cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-gpus-per-learner=1", ], main = "tuned_examples/impala/cartpole_impala.py", @@ -900,7 +884,6 @@ py_test( srcs = ["tuned_examples/impala/cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/impala/cartpole_impala.py", @@ -920,7 +903,6 @@ py_test( srcs = ["tuned_examples/impala/cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -943,7 +925,6 @@ py_test( srcs = ["tuned_examples/impala/multi_agent_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=6", ], @@ -964,7 +945,6 @@ py_test( srcs = ["tuned_examples/impala/multi_agent_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-gpus-per-learner=1", "--num-cpus=6", @@ -987,7 +967,6 @@ py_test( srcs = ["tuned_examples/impala/multi_agent_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-cpus=7", @@ -1009,7 +988,6 @@ py_test( srcs = ["tuned_examples/impala/multi_agent_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-gpus-per-learner=1", @@ -1034,7 +1012,6 @@ py_test( srcs = ["tuned_examples/impala/stateless_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/impala/stateless_cartpole_impala.py", tags = [ @@ -1053,7 +1030,6 @@ py_test( srcs = ["tuned_examples/impala/stateless_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1076,7 +1052,6 @@ py_test( srcs = ["tuned_examples/impala/multi_agent_stateless_cartpole_impala.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/impala/multi_agent_stateless_cartpole_impala.py", tags = [ @@ -1094,7 +1069,7 @@ py_test( # tags = ["team:rllib", "exclusive", "learning_tests", "torch_only", "learning_tests_discrete", "learning_tests_pytorch_use_all_core", "multi_gpu"], # size = "large", # srcs = ["tuned_examples/impala/multi_agent_stateless_cartpole_impala.py"], -# args = ["--as-test", "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1"] +# args = ["--as-test", "--num-learners=2", "--num-gpus-per-learner=1"] # ) # MARWIL @@ -1105,7 +1080,6 @@ py_test( srcs = ["tuned_examples/marwil/cartpole_marwil.py"], args = [ "--as-test", - "--enable-new-api-stack", ], # Include the offline data files. data = [ @@ -1129,7 +1103,6 @@ py_test( srcs = ["tuned_examples/marwil/cartpole_marwil.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-gpus-per-learner=1", ], # Include the offline data files. @@ -1156,7 +1129,6 @@ py_test( srcs = ["tuned_examples/ppo/cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/ppo/cartpole_ppo.py", tags = [ @@ -1174,7 +1146,6 @@ py_test( srcs = ["tuned_examples/ppo/cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -1196,7 +1167,6 @@ py_test( srcs = ["tuned_examples/ppo/cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/ppo/cartpole_ppo.py", @@ -1216,7 +1186,6 @@ py_test( srcs = ["tuned_examples/ppo/cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1239,7 +1208,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", ], main = "tuned_examples/ppo/multi_agent_cartpole_ppo.py", @@ -1258,7 +1226,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=1", "--num-gpus-per-learner=1", @@ -1281,7 +1248,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", ], @@ -1302,7 +1268,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-gpus-per-learner=1", @@ -1326,7 +1291,6 @@ py_test( srcs = ["tuned_examples/ppo/cartpole_truncated_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/ppo/cartpole_truncated_ppo.py", tags = [ @@ -1345,7 +1309,6 @@ py_test( srcs = ["tuned_examples/ppo/stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/ppo/stateless_cartpole_ppo.py", tags = [ @@ -1363,7 +1326,6 @@ py_test( srcs = ["tuned_examples/ppo/stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -1385,7 +1347,6 @@ py_test( srcs = ["tuned_examples/ppo/stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/ppo/stateless_cartpole_ppo.py", @@ -1405,7 +1366,6 @@ py_test( srcs = ["tuned_examples/ppo/stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1428,7 +1388,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", ], main = "tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py", @@ -1447,7 +1406,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=1", "--num-gpus-per-learner=1", @@ -1470,7 +1428,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", ], @@ -1491,7 +1448,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-gpus-per-learner=1", @@ -1515,7 +1471,6 @@ py_test( srcs = ["tuned_examples/ppo/pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/ppo/pendulum_ppo.py", tags = [ @@ -1533,7 +1488,6 @@ py_test( srcs = ["tuned_examples/ppo/pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -1555,7 +1509,6 @@ py_test( srcs = ["tuned_examples/ppo/pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/ppo/pendulum_ppo.py", @@ -1575,7 +1528,6 @@ py_test( srcs = ["tuned_examples/ppo/pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1598,7 +1550,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", ], main = "tuned_examples/ppo/multi_agent_pendulum_ppo.py", @@ -1617,7 +1568,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=1", "--num-gpus-per-learner=1", @@ -1640,7 +1590,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", ], @@ -1661,7 +1610,6 @@ py_test( srcs = ["tuned_examples/ppo/multi_agent_pendulum_ppo.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-gpus-per-learner=1", @@ -1686,7 +1634,6 @@ py_test( srcs = ["tuned_examples/sac/mountaincar_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/sac/mountaincar_sac.py", tags = [ @@ -1704,7 +1651,6 @@ py_test( srcs = ["tuned_examples/sac/mountaincar_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -1725,7 +1671,6 @@ py_test( srcs = ["tuned_examples/sac/mountaincar_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/sac/mountaincar_sac.py", @@ -1744,7 +1689,6 @@ py_test( srcs = ["tuned_examples/sac/mountaincar_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1766,7 +1710,6 @@ py_test( srcs = ["tuned_examples/sac/pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "tuned_examples/sac/pendulum_sac.py", tags = [ @@ -1784,7 +1727,6 @@ py_test( srcs = ["tuned_examples/sac/pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=1", "--num-gpus-per-learner=1", ], @@ -1805,7 +1747,6 @@ py_test( srcs = ["tuned_examples/sac/pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "tuned_examples/sac/pendulum_sac.py", @@ -1824,7 +1765,6 @@ py_test( srcs = ["tuned_examples/sac/pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-gpus-per-learner=1", ], @@ -1846,7 +1786,6 @@ py_test( srcs = ["tuned_examples/sac/multi_agent_pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=4", ], @@ -1866,7 +1805,6 @@ py_test( srcs = ["tuned_examples/sac/multi_agent_pendulum_sac.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--num-cpus=4", "--num-learners=1", @@ -1888,7 +1826,6 @@ py_test( size = "large", srcs = ["tuned_examples/sac/multi_agent_pendulum_sac.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", ], @@ -1907,7 +1844,6 @@ py_test( size = "large", srcs = ["tuned_examples/sac/multi_agent_pendulum_sac.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--num-learners=2", "--num-gpus-per-learner=1", @@ -3422,7 +3358,6 @@ py_test( name = "examples/actions/autoregressive_actions", size = "large", srcs = ["examples/actions/autoregressive_actions.py"], - args = ["--enable-new-api-stack"], main = "examples/actions/autoregressive_actions.py", tags = [ "examples", @@ -3435,7 +3370,6 @@ py_test( size = "large", srcs = ["examples/actions/custom_action_distribution.py"], args = [ - "--enable-new-api-stack", "--temperature=0.75", ], main = "examples/actions/custom_action_distribution.py", @@ -3450,7 +3384,6 @@ py_test( size = "large", srcs = ["examples/actions/nested_action_spaces.py"], args = [ - "--enable-new-api-stack", "--as-test", "--framework=torch", "--stop-reward=-500.0", @@ -3469,7 +3402,6 @@ py_test( size = "large", srcs = ["examples/actions/nested_action_spaces.py"], args = [ - "--enable-new-api-stack", "--as-test", "--num-agents=2", "--framework=torch", @@ -3491,7 +3423,6 @@ py_test( size = "large", srcs = ["examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py", @@ -3506,7 +3437,6 @@ py_test( size = "large", srcs = ["examples/algorithms/maml_lr_supervised_learning.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-iters=70000", "--meta-lr=0.001", @@ -3529,7 +3459,6 @@ py_test( size = "large", srcs = ["examples/algorithms/vpg_custom_algorithm.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/algorithms/vpg_custom_algorithm.py", @@ -3572,7 +3501,6 @@ py_test( size = "large", srcs = ["examples/checkpoints/change_config_during_training.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward-first-config=150.0", "--stop-reward=450.0", @@ -3591,7 +3519,6 @@ py_test( size = "large", srcs = ["examples/checkpoints/checkpoint_by_custom_criteria.py"], args = [ - "--enable-new-api-stack", "--stop-reward=150.0", "--num-cpus=8", ], @@ -3609,7 +3536,6 @@ py_test( size = "large", srcs = ["examples/checkpoints/continue_training_from_checkpoint.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/checkpoints/continue_training_from_checkpoint.py", @@ -3625,7 +3551,6 @@ py_test( size = "large", srcs = ["examples/checkpoints/continue_training_from_checkpoint.py"], args = [ - "--enable-new-api-stack", "--as-test", "--num-agents=2", "--stop-reward-crash=400.0", @@ -3674,7 +3599,6 @@ py_test( size = "medium", srcs = ["examples/connectors/frame_stacking.py"], args = [ - "--enable-new-api-stack", "--stop-iter=2", "--framework=torch", "--algo=PPO", @@ -3692,7 +3616,6 @@ py_test( size = "medium", srcs = ["examples/connectors/frame_stacking.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--stop-iter=2", "--framework=torch", @@ -3714,7 +3637,6 @@ py_test( size = "medium", srcs = ["examples/connectors/frame_stacking.py"], args = [ - "--enable-new-api-stack", "--stop-iter=2", "--framework=torch", "--algo=IMPALA", @@ -3732,7 +3654,6 @@ py_test( size = "medium", srcs = ["examples/connectors/frame_stacking.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--stop-iter=2", "--framework=torch", @@ -3755,7 +3676,6 @@ py_test( size = "medium", srcs = ["examples/connectors/flatten_observations_dict_space.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=400.0", "--framework=torch", @@ -3774,7 +3694,6 @@ py_test( size = "medium", srcs = ["examples/connectors/flatten_observations_dict_space.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=800.0", @@ -3795,7 +3714,6 @@ py_test( size = "large", srcs = ["examples/connectors/flatten_observations_dict_space.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=400.0", "--stop-timesteps=2000000", @@ -3815,7 +3733,6 @@ py_test( size = "large", srcs = ["examples/connectors/flatten_observations_dict_space.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=800.0", @@ -3839,7 +3756,6 @@ py_test( size = "large", srcs = ["examples/connectors/prev_actions_prev_rewards.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=200.0", "--framework=torch", @@ -3860,7 +3776,6 @@ py_test( size = "large", srcs = ["examples/connectors/prev_actions_prev_rewards.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=400.0", @@ -3885,7 +3800,6 @@ py_test( size = "medium", srcs = ["examples/connectors/mean_std_filtering.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=-300.0", "--framework=torch", @@ -3908,7 +3822,6 @@ py_test( size = "large", srcs = ["examples/connectors/mean_std_filtering.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--stop-reward=-600.0", @@ -3931,7 +3844,6 @@ py_test( size = "medium", srcs = ["examples/connectors/multi_agent_observation_preprocessor.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--algo=PPO", ], @@ -3948,7 +3860,6 @@ py_test( size = "medium", srcs = ["examples/connectors/single_agent_observation_preprocessor.py"], args = [ - "--enable-new-api-stack", "--algo=PPO", ], main = "examples/connectors/single_agent_observation_preprocessor.py", @@ -3966,7 +3877,6 @@ py_test( size = "large", srcs = ["examples/curiosity/count_based_curiosity.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/curiosity/count_based_curiosity.py", @@ -3982,7 +3892,6 @@ py_test( size = "large", srcs = ["examples/curiosity/euclidian_distance_based_curiosity.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/curiosity/euclidian_distance_based_curiosity.py", @@ -3998,7 +3907,6 @@ py_test( size = "large", srcs = ["examples/curiosity/intrinsic_curiosity_model_based_curiosity.py"], args = [ - "--enable-new-api-stack", "--as-test", "--algo=PPO", ], @@ -4018,7 +3926,7 @@ py_test( # tags = ["team:rllib", "exclusive", "examples"], # size = "large", # srcs = ["examples/curiosity/intrinsic_curiosity_model_based_curiosity.py"], -# args = ["--enable-new-api-stack", "--as-test", "--algo=DQN"] +# args = ["--as-test", "--algo=DQN"] # ) # subdirectory: curriculum/ @@ -4028,7 +3936,6 @@ py_test( size = "medium", srcs = ["examples/curriculum/curriculum_learning.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/curriculum/curriculum_learning.py", @@ -4047,7 +3954,6 @@ py_test( srcs = ["examples/debugging/deterministic_sampling_and_training.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", ], main = "examples/debugging/deterministic_sampling_and_training.py", @@ -4065,7 +3971,6 @@ py_test( srcs = ["examples/debugging/deterministic_sampling_and_training.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-learners=2", "--num-agents=2", ], @@ -4085,7 +3990,6 @@ py_test( size = "medium", srcs = ["examples/envs/agents_act_simultaneously.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--stop-iters=3", ], @@ -4102,7 +4006,6 @@ py_test( size = "medium", srcs = ["examples/envs/agents_act_in_sequence.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--stop-iters=3", ], @@ -4119,7 +4022,6 @@ py_test( size = "medium", srcs = ["examples/envs/async_gym_env_vectorization.py"], args = [ - "--enable-new-api-stack", "--as-test", "--vectorize-mode=BOTH", ], @@ -4136,7 +4038,6 @@ py_test( size = "medium", srcs = ["examples/envs/custom_env_render_method.py"], args = [ - "--enable-new-api-stack", "--num-agents=0", ], main = "examples/envs/custom_env_render_method.py", @@ -4152,7 +4053,6 @@ py_test( size = "medium", srcs = ["examples/envs/custom_env_render_method.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", ], main = "examples/envs/custom_env_render_method.py", @@ -4168,7 +4068,6 @@ py_test( size = "medium", srcs = ["examples/envs/custom_gym_env.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/envs/custom_gym_env.py", @@ -4184,7 +4083,6 @@ py_test( size = "medium", srcs = ["examples/envs/env_connecting_to_rllib_w_tcp_client.py"], args = [ - "--enable-new-api-stack", "--as-test", "--port=12346", ], @@ -4201,7 +4099,6 @@ py_test( size = "medium", srcs = ["examples/envs/env_rendering_and_recording.py"], args = [ - "--enable-new-api-stack", "--env=CartPole-v1", "--stop-iters=2", ], @@ -4217,7 +4114,6 @@ py_test( size = "medium", srcs = ["examples/envs/env_w_protobuf_observations.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/envs/env_w_protobuf_observations.py", @@ -4248,7 +4144,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/custom_evaluation.py"], args = [ - "--enable-new-api-stack", "--framework=torch", "--as-test", "--stop-reward=0.75", @@ -4267,7 +4162,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/custom_evaluation.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=0.75", "--evaluation-parallel-to-training", @@ -4288,7 +4182,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--as-test", "--evaluation-parallel-to-training", "--stop-reward=450.0", @@ -4308,7 +4201,6 @@ py_test( size = "large", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--evaluation-parallel-to-training", @@ -4331,7 +4223,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--as-test", "--evaluation-parallel-to-training", "--stop-reward=450.0", @@ -4353,7 +4244,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--evaluation-parallel-to-training", @@ -4375,7 +4265,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--as-test", "--evaluation-parallel-to-training", "--stop-reward=450.0", @@ -4396,7 +4285,6 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--evaluation-parallel-to-training", @@ -4419,6 +4307,7 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ + "--old-api-stack", "--as-test", "--evaluation-parallel-to-training", "--stop-reward=50.0", @@ -4440,6 +4329,7 @@ py_test( size = "medium", srcs = ["examples/evaluation/evaluation_parallel_to_training.py"], args = [ + "--old-api-stack", "--as-test", "--evaluation-parallel-to-training", "--framework=torch", @@ -4465,7 +4355,6 @@ py_test( srcs = ["examples/fault_tolerance/crashing_and_stalling_env.py"], args = [ "--algo=APPO", - "--enable-new-api-stack", "--as-test", "--stop-reward=450.0", ], @@ -4483,7 +4372,6 @@ py_test( srcs = ["examples/fault_tolerance/crashing_and_stalling_env.py"], args = [ "--algo=APPO", - "--enable-new-api-stack", "--as-test", "--restart-failed-envs", "--stop-reward=450.0", @@ -4502,7 +4390,6 @@ py_test( srcs = ["examples/fault_tolerance/crashing_and_stalling_env.py"], args = [ "--algo=PPO", - "--enable-new-api-stack", "--as-test", "--restart-failed-envs", "--stall", @@ -4523,7 +4410,6 @@ py_test( args = [ "--algo=PPO", "--num-agents=2", - "--enable-new-api-stack", "--as-test", "--restart-failed-envs", "--stop-reward=800.0", @@ -4543,7 +4429,6 @@ py_test( size = "medium", srcs = ["examples/gpus/float16_training_and_inference.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=150.0", ], @@ -4561,7 +4446,6 @@ py_test( size = "medium", srcs = ["examples/gpus/gpus_on_env_runners.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=0.9", "--num-gpus-per-env-runner=0.5", @@ -4581,7 +4465,6 @@ py_test( size = "medium", srcs = ["examples/gpus/mixed_precision_training_float16_inference.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/gpus/mixed_precision_training_float16_inference.py", @@ -4598,7 +4481,6 @@ py_test( size = "medium", srcs = ["examples/gpus/fractional_gpus_per_learner.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=40.0", "--num-learners=1", @@ -4618,7 +4500,6 @@ py_test( size = "medium", srcs = ["examples/gpus/fractional_gpus_per_learner.py"], args = [ - "--enable-new-api-stack", "--as-test", "--stop-reward=40.0", "--num-learners=1", @@ -4642,7 +4523,6 @@ py_test( size = "medium", srcs = ["examples/hierarchical/hierarchical_training.py"], args = [ - "--enable-new-api-stack", "--stop-iters=5", "--map=small", "--time-limit=100", @@ -4663,7 +4543,6 @@ py_test( size = "medium", srcs = ["examples/inference/policy_inference_after_training.py"], args = [ - "--enable-new-api-stack", "--stop-reward=100.0", ], main = "examples/inference/policy_inference_after_training.py", @@ -4679,7 +4558,6 @@ py_test( size = "medium", srcs = ["examples/inference/policy_inference_after_training.py"], args = [ - "--enable-new-api-stack", "--stop-reward=100.0", "--use-onnx-for-inference", ], @@ -4696,7 +4574,6 @@ py_test( size = "medium", srcs = ["examples/inference/policy_inference_after_training_w_connector.py"], args = [ - "--enable-new-api-stack", "--stop-reward=150.0", ], main = "examples/inference/policy_inference_after_training_w_connector.py", @@ -4712,7 +4589,6 @@ py_test( size = "medium", srcs = ["examples/inference/policy_inference_after_training_w_connector.py"], args = [ - "--enable-new-api-stack", "--stop-reward=150.0", "--use-onnx-for-inference", ], @@ -4765,7 +4641,6 @@ py_test( size = "medium", srcs = ["examples/learners/ppo_with_custom_loss_fn.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/learners/ppo_with_custom_loss_fn.py", @@ -4780,7 +4655,6 @@ py_test( size = "medium", srcs = ["examples/learners/ppo_with_torch_lr_schedulers.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/learners/ppo_with_torch_lr_schedulers.py", @@ -4795,7 +4669,6 @@ py_test( size = "medium", srcs = ["examples/learners/separate_vf_lr_and_optimizer.py"], args = [ - "--enable-new-api-stack", "--as-test", ], main = "examples/learners/separate_vf_lr_and_optimizer.py", @@ -4812,7 +4685,6 @@ py_test( name = "examples/metrics/custom_metrics_in_algorithm_training_step", size = "small", srcs = ["examples/metrics/custom_metrics_in_algorithm_training_step.py"], - args = ["--enable-new-api-stack"], main = "examples/metrics/custom_metrics_in_algorithm_training_step.py", tags = [ "examples", @@ -4826,7 +4698,6 @@ py_test( size = "medium", srcs = ["examples/metrics/custom_metrics_in_env_runners.py"], args = [ - "--enable-new-api-stack", "--stop-iters=3", ], main = "examples/metrics/custom_metrics_in_env_runners.py", @@ -4844,7 +4715,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/custom_heuristic_policy.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -4864,7 +4734,6 @@ py_test( size = "small", srcs = ["examples/multi_agent/different_spaces_for_agents.py"], args = [ - "--enable-new-api-stack", "--algo=PPO", "--stop-iters=4", "--framework=torch", @@ -4882,7 +4751,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/multi_agent_cartpole.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -4903,7 +4771,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/multi_agent_pendulum.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -4926,7 +4793,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/pettingzoo_independent_learning.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -4945,7 +4811,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/pettingzoo_parameter_sharing.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -4967,7 +4832,7 @@ py_test( # tags = ["team:rllib", "exclusive", "examples"], # size = "large", # srcs = ["examples/multi_agent/pettingzoo_shared_value_function.py"], -# args = ["--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", "--stop-reward=-100.0", "--num-cpus=4"], +# args = ["--num-agents=2", "--as-test", "--framework=torch", "--stop-reward=-100.0", "--num-cpus=4"], # ) py_test( @@ -4975,7 +4840,6 @@ py_test( size = "large", srcs = ["examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py"], args = [ - "--enable-new-api-stack", "--as-test", "--num-agents=2", "--framework=torch", @@ -4999,7 +4863,6 @@ py_test( size = "medium", srcs = ["examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -5018,7 +4881,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -5040,7 +4902,6 @@ py_test( size = "medium", srcs = ["examples/multi_agent/rock_paper_scissors_learned_vs_learned.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--framework=torch", "--stop-iter=10", @@ -5059,6 +4920,7 @@ py_test( size = "medium", srcs = ["examples/multi_agent/self_play_with_open_spiel.py"], args = [ + "--old-api-stack", "--framework=tf", "--env=connect_four", "--win-rate-threshold=0.9", @@ -5079,6 +4941,7 @@ py_test( size = "medium", srcs = ["examples/multi_agent/self_play_with_open_spiel.py"], args = [ + "--old-api-stack", "--framework=torch", "--env=connect_four", "--win-rate-threshold=0.9", @@ -5098,7 +4961,6 @@ py_test( size = "medium", srcs = ["examples/multi_agent/self_play_with_open_spiel.py"], args = [ - "--enable-new-api-stack", "--framework=torch", "--env=connect_four", "--win-rate-threshold=0.9", @@ -5118,7 +4980,6 @@ py_test( size = "large", srcs = ["examples/multi_agent/self_play_league_based_with_open_spiel.py"], args = [ - "--enable-new-api-stack", "--framework=torch", "--env=connect_four", "--win-rate-threshold=0.8", @@ -5138,7 +4999,6 @@ py_test( size = "medium", srcs = ["examples/multi_agent/two_step_game_with_grouped_agents.py"], args = [ - "--enable-new-api-stack", "--num-agents=2", "--as-test", "--framework=torch", @@ -5163,7 +5023,7 @@ py_test( # tags = ["team:rllib", "examples", "exclusive"], # size = "large", # srcs = ["examples/offline_rl/cartpole_recording.py"], -# args = ["--enable-new-api-stack", "--as-test", "--framework=torch", "--num-cpus=12"], +# args = ["--as-test", "--framework=torch", "--num-cpus=12"], # ) py_test( @@ -5171,7 +5031,6 @@ py_test( size = "medium", srcs = ["examples/offline_rl/train_w_bc_finetune_w_ppo.py"], args = [ - "--enable-new-api-stack", "--as-test", "--framework=torch", ], @@ -5280,7 +5139,6 @@ py_test( size = "medium", srcs = ["examples/rl_modules/action_masking_rl_module.py"], args = [ - "--enable-new-api-stack", "--stop-iters=5", ], main = "examples/rl_modules/action_masking_rl_module.py", @@ -5295,7 +5153,6 @@ py_test( size = "medium", srcs = ["examples/rl_modules/custom_cnn_rl_module.py"], args = [ - "--enable-new-api-stack", "--stop-iters=3", ], main = "examples/rl_modules/custom_cnn_rl_module.py", @@ -5311,7 +5168,6 @@ py_test( srcs = ["examples/rl_modules/custom_lstm_rl_module.py"], args = [ "--as-test", - "--enable-new-api-stack", ], main = "examples/rl_modules/custom_lstm_rl_module.py", tags = [ @@ -5360,7 +5216,6 @@ py_test( srcs = ["examples/rl_modules/pretraining_single_agent_training_multi_agent.py"], args = [ "--as-test", - "--enable-new-api-stack", "--num-agents=2", "--stop-reward-pretraining=250.0", "--stop-reward=250.0", diff --git a/rllib/benchmarks/ppo/benchmark_atari_ppo.py b/rllib/benchmarks/ppo/benchmark_atari_ppo.py index f81b51bc026b..8700dfbb1fe5 100644 --- a/rllib/benchmarks/ppo/benchmark_atari_ppo.py +++ b/rllib/benchmarks/ppo/benchmark_atari_ppo.py @@ -2,7 +2,7 @@ How to run this script ---------------------- -`python [script-name].py --enable-new-api-stack --stop-timesteps 12000000 +`python [script-name].py --stop-timesteps 12000000 --num-learners=4 --num-gpus-per-learner --num-env-runners=95` In order to only run individual or lists of envs, you can provide a list of env-strings @@ -98,7 +98,6 @@ base_commands = [ "python", "../../tuned_examples/ppo/atari_ppo.py", - "--enable-new-api-stack", f"--num-env-runners={args.num_env_runners}" if args.num_env_runners else "", f"--num-learners={args.num_learners}", f"--num-gpus-per-learner={args.num_gpus_per_learner}", diff --git a/rllib/examples/actions/autoregressive_actions.py b/rllib/examples/actions/autoregressive_actions.py index abb9f21c3333..142d4991f2f5 100644 --- a/rllib/examples/actions/autoregressive_actions.py +++ b/rllib/examples/actions/autoregressive_actions.py @@ -17,7 +17,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-env-runners 2` +`python [script file name].py --num-env-runners 2` Control the number of `EnvRunner`s with the `--num-env-runners` flag. This will increase the sampling speed. @@ -78,7 +78,6 @@ default_timesteps=2000000, default_reward=-0.45, ) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/actions/custom_action_distribution.py b/rllib/examples/actions/custom_action_distribution.py index 45ae85b74691..c9226d66b8c3 100644 --- a/rllib/examples/actions/custom_action_distribution.py +++ b/rllib/examples/actions/custom_action_distribution.py @@ -20,7 +20,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --temperature=0.8` +`python [script file name].py --temperature=0.8` Use the `--temperature` setting to change the temperature. Higher values (>>1.0) lead to almost random behavior, lower values (<<1.0) lead to always-greedy behavior. Note @@ -83,7 +83,6 @@ "Set this to <<1.0 to approximate greedy behavior and to >>1.0 to approximate " "random behavior.", ) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/actions/nested_action_spaces.py b/rllib/examples/actions/nested_action_spaces.py index 70816ededccd..6210fc669563 100644 --- a/rllib/examples/actions/nested_action_spaces.py +++ b/rllib/examples/actions/nested_action_spaces.py @@ -17,7 +17,6 @@ # Read in common example script command line arguments. parser = add_rllib_example_script_args(default_timesteps=200000, default_reward=-500.0) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py b/rllib/examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py index 80b5f432b9e8..780ae469f1ef 100644 --- a/rllib/examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py +++ b/rllib/examples/algorithms/appo_custom_algorithm_w_shared_data_actor.py @@ -38,7 +38,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -93,7 +93,6 @@ default_timesteps=2000000, ) parser.set_defaults( - enable_new_api_stack=True, num_aggregator_actors_per_learner=1, ) diff --git a/rllib/examples/algorithms/maml_lr_supervised_learning.py b/rllib/examples/algorithms/maml_lr_supervised_learning.py index edd918314d39..24a3e8ab3952 100644 --- a/rllib/examples/algorithms/maml_lr_supervised_learning.py +++ b/rllib/examples/algorithms/maml_lr_supervised_learning.py @@ -224,9 +224,7 @@ def sample_task(batch_size=10, noise_std=0.1, training_data=False, return_params # Define arguments. -parser = add_rllib_example_script_args( - default_iters=70_000, -) +parser = add_rllib_example_script_args(default_iters=70_000) parser.add_argument( "--meta-train-batch-size", diff --git a/rllib/examples/algorithms/vpg_custom_algorithm.py b/rllib/examples/algorithms/vpg_custom_algorithm.py index d6400e92966a..73757a8af8c1 100644 --- a/rllib/examples/algorithms/vpg_custom_algorithm.py +++ b/rllib/examples/algorithms/vpg_custom_algorithm.py @@ -39,7 +39,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -83,7 +83,6 @@ default_iters=1000, default_timesteps=1_000_000, ) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/checkpoints/change_config_during_training.py b/rllib/examples/checkpoints/change_config_during_training.py index b972c7e3296c..373a47b68aac 100644 --- a/rllib/examples/checkpoints/change_config_during_training.py +++ b/rllib/examples/checkpoints/change_config_during_training.py @@ -18,7 +18,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=[0 or 2] +`python [script file name].py --num-agents=[0 or 2] --stop-reward-first-config=[return at which the algo on 1st config should stop training] --stop-reward=[the final return to achieve after restoration from the checkpoint with the 2nd config] @@ -111,7 +111,6 @@ ) # By default, set `args.checkpoint_freq` to 1 and `args.checkpoint_at_end` to True. parser.set_defaults( - enable_new_api_stack=True, checkpoint_freq=1, checkpoint_at_end=True, ) diff --git a/rllib/examples/checkpoints/checkpoint_by_custom_criteria.py b/rllib/examples/checkpoints/checkpoint_by_custom_criteria.py index 33204e52d5e9..4a8d30818565 100644 --- a/rllib/examples/checkpoints/checkpoint_by_custom_criteria.py +++ b/rllib/examples/checkpoints/checkpoint_by_custom_criteria.py @@ -15,7 +15,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -71,7 +71,9 @@ from ray.tune.registry import get_trainable_cls parser = add_rllib_example_script_args( - default_reward=450.0, default_timesteps=100000, default_iters=200 + default_reward=450.0, + default_timesteps=100000, + default_iters=200, ) @@ -125,7 +127,7 @@ # Get the best checkpoints from the trial, based on different metrics. # Checkpoint with the lowest policy loss value: - if args.enable_new_api_stack: + if not args.old_api_stack: policy_loss_key = f"{LEARNER_RESULTS}/{DEFAULT_MODULE_ID}/policy_loss" else: policy_loss_key = "info/learner/default_policy/learner_stats/policy_loss" @@ -135,7 +137,7 @@ print(f"Checkpoint w/ lowest policy loss ({lowest_policy_loss}): {ckpt}") # Checkpoint with the highest value-function loss: - if args.enable_new_api_stack: + if not args.old_api_stack: vf_loss_key = f"{LEARNER_RESULTS}/{DEFAULT_MODULE_ID}/vf_loss" else: vf_loss_key = "info/learner/default_policy/learner_stats/vf_loss" diff --git a/rllib/examples/checkpoints/continue_training_from_checkpoint.py b/rllib/examples/checkpoints/continue_training_from_checkpoint.py index 567468fc8df4..f28b720d5d96 100644 --- a/rllib/examples/checkpoints/continue_training_from_checkpoint.py +++ b/rllib/examples/checkpoints/continue_training_from_checkpoint.py @@ -18,7 +18,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=[0 or 2] +`python [script file name].py --num-agents=[0 or 2] --stop-reward-crash=[the episode return after which the algo should crash] --stop-reward=[the final episode return to achieve after(!) restoration from the checkpoint] @@ -111,7 +111,10 @@ help="Mean episode return after which the Algorithm should crash.", ) # By default, set `args.checkpoint_freq` to 1 and `args.checkpoint_at_end` to True. -parser.set_defaults(checkpoint_freq=1, checkpoint_at_end=True) +parser.set_defaults( + checkpoint_freq=1, + checkpoint_at_end=True, +) class CrashAfterNIters(RLlibCallback): @@ -148,10 +151,6 @@ def on_train_result(self, *, algorithm, metrics_logger, result, **kwargs): config = ( get_trainable_cls(args.algo) .get_default_config() - .api_stack( - enable_rl_module_and_learner=args.enable_new_api_stack, - enable_env_runner_and_connector_v2=args.enable_new_api_stack, - ) .environment("CartPole-v1" if args.num_agents == 0 else "ma_cart") .env_runners(create_env_on_local_worker=True) .training(lr=0.0001) diff --git a/rllib/examples/checkpoints/onnx_torch_lstm.py b/rllib/examples/checkpoints/onnx_torch_lstm.py index d95a282a3a30..f9f3a3dc2319 100644 --- a/rllib/examples/checkpoints/onnx_torch_lstm.py +++ b/rllib/examples/checkpoints/onnx_torch_lstm.py @@ -12,7 +12,11 @@ torch, _ = try_import_torch() parser = add_rllib_example_script_args() -parser.set_defaults(num_env_runners=1) +parser.set_defaults( + num_env_runners=1, + # ONNX is not supported by RLModule API yet. + old_api_stack=True, +) class ONNXCompatibleWrapper(torch.nn.Module): @@ -32,20 +36,11 @@ def forward(self, a, b0, b1, c): if __name__ == "__main__": args = parser.parse_args() - assert ( - not args.enable_new_api_stack - ), "Must NOT set --enable-new-api-stack when running this script!" - ray.init(local_mode=args.local_mode) # Configure our PPO Algorithm. config = ( ppo.PPOConfig() - # ONNX is not supported by RLModule API yet. - .api_stack( - enable_rl_module_and_learner=args.enable_new_api_stack, - enable_env_runner_and_connector_v2=args.enable_new_api_stack, - ) .environment("CartPole-v1") .env_runners(num_env_runners=args.num_env_runners) .training(model={"use_lstm": True}) diff --git a/rllib/examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py b/rllib/examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py index e531e23a98ee..938489060653 100644 --- a/rllib/examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py +++ b/rllib/examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py @@ -13,7 +13,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2 +`python [script file name].py --num-agents=2 --checkpoint-freq=20 --checkpoint-at-end` Control the number of agents and policies (RLModules) via --num-agents and @@ -74,7 +74,6 @@ default_reward=-500.0, ) parser.set_defaults( - enable_new_api_stack=True, checkpoint_freq=1, num_agents=2, ) diff --git a/rllib/examples/connectors/flatten_observations_dict_space.py b/rllib/examples/connectors/flatten_observations_dict_space.py index 9dd021d28f8a..f194c6be65b1 100644 --- a/rllib/examples/connectors/flatten_observations_dict_space.py +++ b/rllib/examples/connectors/flatten_observations_dict_space.py @@ -43,7 +43,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -89,7 +89,6 @@ # Read in common example script command line arguments. parser = add_rllib_example_script_args(default_timesteps=200000, default_reward=400.0) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/connectors/frame_stacking.py b/rllib/examples/connectors/frame_stacking.py index e2c6abc88fe3..7eb83725b608 100644 --- a/rllib/examples/connectors/frame_stacking.py +++ b/rllib/examples/connectors/frame_stacking.py @@ -31,7 +31,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-frames=4 --env=ALE/Pong-v5` +`python [script file name].py --num-frames=4 --env=ALE/Pong-v5` Use the `--num-frames` option to define the number of observations to framestack. If you don't want to use Connectors to perform the framestacking, set the @@ -96,7 +96,6 @@ ) # Use Pong by default. parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) parser.add_argument( diff --git a/rllib/examples/connectors/mean_std_filtering.py b/rllib/examples/connectors/mean_std_filtering.py index de5fbce532c4..201ce3691138 100644 --- a/rllib/examples/connectors/mean_std_filtering.py +++ b/rllib/examples/connectors/mean_std_filtering.py @@ -29,7 +29,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -95,9 +95,6 @@ action="store_true", help="Run w/o a mean/std env-to-module connector piece (filter).", ) -parser.set_defaults( - enable_new_api_stack=True, -) class LopsidedObs(gym.ObservationWrapper): diff --git a/rllib/examples/connectors/multi_agent_observation_preprocessor.py b/rllib/examples/connectors/multi_agent_observation_preprocessor.py index 8f8365fb4e24..9d057dd258c5 100644 --- a/rllib/examples/connectors/multi_agent_observation_preprocessor.py +++ b/rllib/examples/connectors/multi_agent_observation_preprocessor.py @@ -32,7 +32,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -87,7 +87,6 @@ default_reward=22.0, ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) diff --git a/rllib/examples/connectors/prev_actions_prev_rewards.py b/rllib/examples/connectors/prev_actions_prev_rewards.py index 02ec25b377c2..16b978bf44ae 100644 --- a/rllib/examples/connectors/prev_actions_prev_rewards.py +++ b/rllib/examples/connectors/prev_actions_prev_rewards.py @@ -40,7 +40,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-frames=4 --env=ALE/Pong-v5` +`python [script file name].py --num-frames=4 --env=ALE/Pong-v5` Use the `--num-frames` option to define the number of observations to framestack. If you don't want to use Connectors to perform the framestacking, set the @@ -99,7 +99,6 @@ parser = add_rllib_example_script_args( default_reward=200.0, default_timesteps=1000000, default_iters=2000 ) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument("--n-prev-rewards", type=int, default=1) parser.add_argument("--n-prev-actions", type=int, default=1) diff --git a/rllib/examples/connectors/single_agent_observation_preprocessor.py b/rllib/examples/connectors/single_agent_observation_preprocessor.py index 847d6c3e600b..9a20419da12a 100644 --- a/rllib/examples/connectors/single_agent_observation_preprocessor.py +++ b/rllib/examples/connectors/single_agent_observation_preprocessor.py @@ -38,7 +38,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -88,7 +88,6 @@ # Read in common example script command line arguments. parser = add_rllib_example_script_args(default_timesteps=200000, default_reward=200.0) -parser.set_defaults(enable_new_api_stack=True) class ReduceCartPoleObservationsToNonMarkovian(SingleAgentObservationPreprocessor): diff --git a/rllib/examples/curiosity/count_based_curiosity.py b/rllib/examples/curiosity/count_based_curiosity.py index 4f03fd781b55..7f2900b42a7d 100644 --- a/rllib/examples/curiosity/count_based_curiosity.py +++ b/rllib/examples/curiosity/count_based_curiosity.py @@ -16,7 +16,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--no-curiosity` flag to disable curiosity learning and force your policy to be trained on the task w/o the use of intrinsic rewards. With this option, the @@ -68,7 +68,6 @@ parser = add_rllib_example_script_args( default_reward=0.99, default_iters=200, default_timesteps=1000000 ) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--intrinsic-reward-coeff", type=float, diff --git a/rllib/examples/curiosity/euclidian_distance_based_curiosity.py b/rllib/examples/curiosity/euclidian_distance_based_curiosity.py index 5e6c88a1d7d1..4e54c8ad7287 100644 --- a/rllib/examples/curiosity/euclidian_distance_based_curiosity.py +++ b/rllib/examples/curiosity/euclidian_distance_based_curiosity.py @@ -19,7 +19,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--no-curiosity` flag to disable curiosity learning and force your policy to be trained on the task w/o the use of intrinsic rewards. With this option, the @@ -74,7 +74,6 @@ default_reward=-140.0, default_iters=2000, default_timesteps=1000000 ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=4, ) parser.add_argument( diff --git a/rllib/examples/curiosity/intrinsic_curiosity_model_based_curiosity.py b/rllib/examples/curiosity/intrinsic_curiosity_model_based_curiosity.py index 44231b7b0022..342a1a56fb73 100644 --- a/rllib/examples/curiosity/intrinsic_curiosity_model_based_curiosity.py +++ b/rllib/examples/curiosity/intrinsic_curiosity_model_based_curiosity.py @@ -35,7 +35,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--no-curiosity` flag to disable curiosity learning and force your policy to be trained on the task w/o the use of intrinsic rewards. With this option, the @@ -107,7 +107,6 @@ default_timesteps=10000000, default_reward=0.9, ) -parser.set_defaults(enable_new_api_stack=True) class MeasureMaxDistanceToStart(RLlibCallback): diff --git a/rllib/examples/curriculum/curriculum_learning.py b/rllib/examples/curriculum/curriculum_learning.py index 05d168c08363..252a468698be 100644 --- a/rllib/examples/curriculum/curriculum_learning.py +++ b/rllib/examples/curriculum/curriculum_learning.py @@ -17,7 +17,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--no-curriculum` flag to disable curriculum learning and force your policy to be trained on the hardest task right away. With this option, the algorithm should NOT @@ -73,7 +73,6 @@ from ray.tune.registry import get_trainable_cls parser = add_rllib_example_script_args(default_iters=100, default_timesteps=600000) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--upgrade-task-threshold", type=float, diff --git a/rllib/examples/debugging/deterministic_sampling_and_training.py b/rllib/examples/debugging/deterministic_sampling_and_training.py index 4eb88f39e5fb..11319c4da112 100644 --- a/rllib/examples/debugging/deterministic_sampling_and_training.py +++ b/rllib/examples/debugging/deterministic_sampling_and_training.py @@ -71,7 +71,6 @@ parser = add_rllib_example_script_args(default_iters=3) parser.set_defaults( - enable_new_api_stack=True, # Test by default with more than one Env per EnvRunner. num_envs_per_env_runner=2, ) diff --git a/rllib/examples/envs/agents_act_in_sequence.py b/rllib/examples/envs/agents_act_in_sequence.py index c2872a6e4aca..5760f39f64c8 100644 --- a/rllib/examples/envs/agents_act_in_sequence.py +++ b/rllib/examples/envs/agents_act_in_sequence.py @@ -12,7 +12,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -54,7 +54,6 @@ default_reward=-4.0, default_iters=50, default_timesteps=100000 ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) diff --git a/rllib/examples/envs/agents_act_simultaneously.py b/rllib/examples/envs/agents_act_simultaneously.py index bcfdf125414c..146182544880 100644 --- a/rllib/examples/envs/agents_act_simultaneously.py +++ b/rllib/examples/envs/agents_act_simultaneously.py @@ -12,7 +12,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --sheldon-cooper-mode` +`python [script file name].py --sheldon-cooper-mode` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -57,7 +57,6 @@ default_reward=0.9, default_iters=50, default_timesteps=100000 ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) parser.add_argument( diff --git a/rllib/examples/envs/async_gym_env_vectorization.py b/rllib/examples/envs/async_gym_env_vectorization.py index 06a2d7d0982a..20ec218176b3 100644 --- a/rllib/examples/envs/async_gym_env_vectorization.py +++ b/rllib/examples/envs/async_gym_env_vectorization.py @@ -19,7 +19,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack ` +`python [script file name].py ` Use the `--vectorize-mode=BOTH` option to run both modes (SYNC and ASYNC) through Tune at the same time and get a better comparison of the throughputs @@ -74,7 +74,6 @@ parser = add_rllib_example_script_args(default_reward=60.0) parser.set_defaults( - enable_new_api_stack=True, env="CartPole-v1", num_envs_per_env_runner=6, ) diff --git a/rllib/examples/envs/custom_env_render_method.py b/rllib/examples/envs/custom_env_render_method.py index 77216ea179cc..3aa44f63095b 100644 --- a/rllib/examples/envs/custom_env_render_method.py +++ b/rllib/examples/envs/custom_env_render_method.py @@ -14,7 +14,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack +`python [script file name].py --wandb-key=[your WandB API key] --wandb-project=[some WandB project name] --wandb-run-name=[optional: WandB run name within --wandb-project]` @@ -76,7 +76,6 @@ default_reward=9.0, default_timesteps=10000, ) -parser.set_defaults(enable_new_api_stack=True) class CustomRenderedCorridorEnv(gym.Env): diff --git a/rllib/examples/envs/custom_gym_env.py b/rllib/examples/envs/custom_gym_env.py index 2612575adb63..4e5db2b5465f 100644 --- a/rllib/examples/envs/custom_gym_env.py +++ b/rllib/examples/envs/custom_gym_env.py @@ -14,7 +14,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--corridor-length` option to set a custom length for the corridor. Note that for extremely long corridors, the algorithm should take longer to learn. @@ -64,7 +64,9 @@ parser = add_rllib_example_script_args( - default_reward=0.9, default_iters=50, default_timesteps=100000 + default_reward=0.9, + default_iters=50, + default_timesteps=100000, ) parser.add_argument( "--corridor-length", diff --git a/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py b/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py index 7d71ad95573f..3a757bab5993 100644 --- a/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py +++ b/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py @@ -21,7 +21,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --port 5555 +`python [script file name].py --port 5555 Use the `--port` option to change the default port (5555) to some other value. Make sure that you do the same on the client side. @@ -81,7 +81,6 @@ default_reward=450.0, default_iters=200, default_timesteps=2000000 ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=1, ) parser.add_argument( diff --git a/rllib/examples/envs/env_rendering_and_recording.py b/rllib/examples/envs/env_rendering_and_recording.py index 753ccc4b7108..17019cdea3c6 100644 --- a/rllib/examples/envs/env_rendering_and_recording.py +++ b/rllib/examples/envs/env_rendering_and_recording.py @@ -14,7 +14,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --env [env name e.g. 'ALE/Pong-v5'] +`python [script file name].py --env [env name e.g. 'ALE/Pong-v5'] --wandb-key=[your WandB API key] --wandb-project=[some WandB project name] --wandb-run-name=[optional: WandB run name within --wandb-project]` @@ -75,7 +75,6 @@ parser = add_rllib_example_script_args(default_reward=20.0) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) diff --git a/rllib/examples/envs/env_w_protobuf_observations.py b/rllib/examples/envs/env_w_protobuf_observations.py index e1a23d3b0228..77b4ee024d92 100644 --- a/rllib/examples/envs/env_w_protobuf_observations.py +++ b/rllib/examples/envs/env_w_protobuf_observations.py @@ -15,7 +15,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -58,7 +58,6 @@ parser = add_rllib_example_script_args(default_timesteps=200000, default_reward=400.0) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/evaluation/custom_evaluation.py b/rllib/examples/evaluation/custom_evaluation.py index 65c3e1b40deb..e503b02a50e7 100644 --- a/rllib/examples/evaluation/custom_evaluation.py +++ b/rllib/examples/evaluation/custom_evaluation.py @@ -20,7 +20,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack +`python [script file name].py You can switch off custom evaluation (and use RLlib's default evaluation procedure) with the `--no-custom-eval` flag. @@ -85,7 +85,9 @@ parser = add_rllib_example_script_args( - default_iters=50, default_reward=0.7, default_timesteps=50000 + default_iters=50, + default_reward=0.7, + default_timesteps=50000, ) parser.add_argument("--no-custom-eval", action="store_true") parser.add_argument("--corridor-length-training", type=int, default=10) diff --git a/rllib/examples/evaluation/evaluation_parallel_to_training.py b/rllib/examples/evaluation/evaluation_parallel_to_training.py index f881b04cad8f..12c371aa3849 100644 --- a/rllib/examples/evaluation/evaluation_parallel_to_training.py +++ b/rllib/examples/evaluation/evaluation_parallel_to_training.py @@ -17,7 +17,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Use the `--evaluation-num-workers` option to scale up the evaluation workers. Note that the requested evaluation duration (`--evaluation-duration` measured in @@ -40,7 +40,7 @@ ----------------- You should see the following output (at the end of the experiment) in your console when running with a fixed number of 100k training timesteps -(`--enable-new-api-stack --evaluation-duration=auto --stop-timesteps=100000 +(`--evaluation-duration=auto --stop-timesteps=100000 --stop-reward=100000`): +-----------------------------+------------+-----------------+--------+ | Trial name | status | loc | iter | diff --git a/rllib/examples/fault_tolerance/crashing_and_stalling_env.py b/rllib/examples/fault_tolerance/crashing_and_stalling_env.py index 4425d51d5d9e..39b700edde70 100644 --- a/rllib/examples/fault_tolerance/crashing_and_stalling_env.py +++ b/rllib/examples/fault_tolerance/crashing_and_stalling_env.py @@ -21,7 +21,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack +`python [script file name].py You can switch on the fault tolerant behavior (1) (restart_failed_sub_environments) through the `--restart-failed-envs` flag. If this flag is not set, the script will @@ -92,7 +92,6 @@ default_timesteps=2000000, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=4, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/examples/gpus/float16_training_and_inference.py b/rllib/examples/gpus/float16_training_and_inference.py index 176b03004ab8..be065b6f8f73 100644 --- a/rllib/examples/gpus/float16_training_and_inference.py +++ b/rllib/examples/gpus/float16_training_and_inference.py @@ -19,7 +19,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack +`python [script file name].py For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -69,9 +69,6 @@ parser = add_rllib_example_script_args( default_iters=50, default_reward=150.0, default_timesteps=100000 ) -parser.set_defaults( - enable_new_api_stack=True, -) def on_algorithm_init( diff --git a/rllib/examples/gpus/fractional_gpus_per_learner.py b/rllib/examples/gpus/fractional_gpus_per_learner.py index 374a7ec139e9..648e28e78169 100644 --- a/rllib/examples/gpus/fractional_gpus_per_learner.py +++ b/rllib/examples/gpus/fractional_gpus_per_learner.py @@ -11,7 +11,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-learners= +`python [script file name].py --num-learners= [number of Learners, e.g. 1] --num-gpus-per-learner [some fraction <1.0]` The following command line combinations been tested on a 4 NVIDIA T4 GPUs (16 vCPU) @@ -83,7 +83,6 @@ default_iters=50, default_reward=180, default_timesteps=100000 ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=2, ) diff --git a/rllib/examples/gpus/gpus_on_env_runners.py b/rllib/examples/gpus/gpus_on_env_runners.py index 92a5bd1f53b3..fcaaf9cadbbb 100644 --- a/rllib/examples/gpus/gpus_on_env_runners.py +++ b/rllib/examples/gpus/gpus_on_env_runners.py @@ -12,7 +12,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-env_runners= +`python [script file name].py --num-env_runners= [number of EnvRunners, e.g. 2] --num-gpus-per-env-runner [int or some fraction <1.0]` The following command line combinations been tested on a 4 NVIDIA T4 GPUs (16 vCPU) @@ -58,7 +58,6 @@ default_iters=50, default_reward=0.9, default_timesteps=100000 ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=2, ) parser.add_argument("--num-gpus-per-env-runner", type=float, default=0.5) diff --git a/rllib/examples/gpus/mixed_precision_training_float16_inference.py b/rllib/examples/gpus/mixed_precision_training_float16_inference.py index ee9165c7c96c..ca733eb3af0e 100644 --- a/rllib/examples/gpus/mixed_precision_training_float16_inference.py +++ b/rllib/examples/gpus/mixed_precision_training_float16_inference.py @@ -20,7 +20,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack +`python [script file name].py For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -73,7 +73,6 @@ ) parser.set_defaults( algo="PPO", - enable_new_api_stack=True, ) @@ -135,9 +134,6 @@ def _update(self, *args, **kwargs): if __name__ == "__main__": args = parser.parse_args() - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" assert args.algo == "PPO", "Must set --algo=PPO when running this script!" base_config = ( diff --git a/rllib/examples/hierarchical/hierarchical_training.py b/rllib/examples/hierarchical/hierarchical_training.py index 8889fb4956df..78926d75afda 100644 --- a/rllib/examples/hierarchical/hierarchical_training.py +++ b/rllib/examples/hierarchical/hierarchical_training.py @@ -36,7 +36,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --map=large --time-limit=50` +`python [script file name].py --map=large --time-limit=50` Use the `--flat` option to disable the hierarchical setup and learn the simple (flat) SixRoomEnv with only one policy. You should observe that it's much harder for the algo @@ -121,7 +121,6 @@ default=3, help="The number of low-level agents/policies to use.", ) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/inference/policy_inference_after_training.py b/rllib/examples/inference/policy_inference_after_training.py index d14176255956..5cae0fdb077d 100644 --- a/rllib/examples/inference/policy_inference_after_training.py +++ b/rllib/examples/inference/policy_inference_after_training.py @@ -15,7 +15,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --stop-reward=200.0` +`python [script file name].py --stop-reward=200.0` Use the `--use-onnx-for-inference` option to perform action computations after training through an ONNX runtime session. @@ -125,8 +125,6 @@ checkpoint_at_end=True, # Use CartPole-v1 by default. env="CartPole-v1", - # Script only runs on new API stack. - enable_new_api_stack=True, ) diff --git a/rllib/examples/inference/policy_inference_after_training_w_connector.py b/rllib/examples/inference/policy_inference_after_training_w_connector.py index ab474363f565..f006ea21f0cb 100644 --- a/rllib/examples/inference/policy_inference_after_training_w_connector.py +++ b/rllib/examples/inference/policy_inference_after_training_w_connector.py @@ -18,7 +18,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --stop-reward=200.0` +`python [script file name].py --stop-reward=200.0` Use the `--use-onnx-for-inference` option to perform action computations after training through an ONNX runtime session. @@ -145,8 +145,6 @@ def _env_creator(cfg): help="Number of episodes to do inference over (after restoring from a checkpoint).", ) parser.set_defaults( - # Script only runs on new API stack. - enable_new_api_stack=True, # Make sure that - by default - we produce checkpoints during training. checkpoint_freq=1, checkpoint_at_end=True, diff --git a/rllib/examples/learners/ppo_load_rl_modules.py b/rllib/examples/learners/ppo_load_rl_modules.py deleted file mode 100644 index d07eb19eb9d4..000000000000 --- a/rllib/examples/learners/ppo_load_rl_modules.py +++ /dev/null @@ -1,78 +0,0 @@ -import argparse -import gymnasium as gym -import shutil -import tempfile - -import ray -from ray import tune -from ray.tune.result import TRAINING_ITERATION -from ray.rllib.algorithms.ppo import PPOConfig -from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog -from ray.rllib.algorithms.ppo.tf.ppo_tf_rl_module import PPOTfRLModule -from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule -from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig -from ray.rllib.core.rl_module.rl_module import RLModuleSpec - - -def _parse_args(): - - parser = argparse.ArgumentParser() - - parser.add_argument( - "--framework", - choices=["tf2", "torch"], # tf will be deprecated with the new Learner stack - default="torch", - ) - - return parser.parse_args() - - -if __name__ == "__main__": - args = _parse_args() - - ray.init() - - # Create a module to load and save it to a checkpoint for testing purposes - # (this is not necessary in a real use case) - # In a real case you would just load the checkpoint from a rllib training run - # where you had enabled checkpointing, the learner api and the rl module api - module_class = PPOTfRLModule if args.framework == "tf2" else PPOTorchRLModule - env = gym.make("CartPole-v1") - module_to_load = RLModuleSpec( - module_class=module_class, - model_config=DefaultModelConfig(fcnet_hiddens=[32]), - catalog_class=PPOCatalog, - observation_space=env.observation_space, - action_space=env.action_space, - ).build() - - CHECKPOINT_DIR = tempfile.mkdtemp() - module_to_load.save_to_path(CHECKPOINT_DIR) - - # Create a module spec to load the checkpoint - module_to_load_spec = RLModuleSpec( - module_class=module_class, - model_config=DefaultModelConfig(fcnet_hiddens=[32]), - catalog_class=PPOCatalog, - load_state_path=CHECKPOINT_DIR, - ) - - # train a PPO algorithm with the loaded module - config = ( - PPOConfig() - .api_stack(enable_rl_module_and_learner=True) - .framework(args.framework) - .rl_module(rl_module_spec=module_to_load_spec) - .environment("CartPole-v1") - ) - - tuner = tune.Tuner( - "PPO", - param_space=config.to_dict(), - run_config=tune.RunConfig( - stop={TRAINING_ITERATION: 1}, - failure_config=tune.FailureConfig(fail_fast="raise"), - ), - ) - tuner.fit() - shutil.rmtree(CHECKPOINT_DIR) diff --git a/rllib/examples/learners/ppo_with_custom_loss_fn.py b/rllib/examples/learners/ppo_with_custom_loss_fn.py index 04cb17c6f893..f59db79c3ff6 100644 --- a/rllib/examples/learners/ppo_with_custom_loss_fn.py +++ b/rllib/examples/learners/ppo_with_custom_loss_fn.py @@ -23,7 +23,7 @@ class for details on how to override the main (PPO) loss function. How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --regularizer-coeff=0.02 +`python [script file name].py --regularizer-coeff=0.02 --lr=0.01` Use the `--regularizer-coeff` option to set the value of the coefficient with which @@ -86,7 +86,6 @@ class for details on how to override the main (PPO) loss function. default_reward=250.0, default_timesteps=200000, ) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--regularizer-coeff", type=float, @@ -105,9 +104,6 @@ class for details on how to override the main (PPO) loss function. if __name__ == "__main__": args = parser.parse_args() - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" assert args.algo == "PPO", "Must set --algo=PPO when running this script!" base_config = ( diff --git a/rllib/examples/learners/ppo_with_torch_lr_schedulers.py b/rllib/examples/learners/ppo_with_torch_lr_schedulers.py index 2051076613c3..710353017b08 100644 --- a/rllib/examples/learners/ppo_with_torch_lr_schedulers.py +++ b/rllib/examples/learners/ppo_with_torch_lr_schedulers.py @@ -11,7 +11,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --lr-const-factor=0.9 +`python [script file name].py --lr-const-factor=0.9 --lr-const-iters=10 --lr-exp-decay=0.9` Use the `--lr-const-factor` to define the facotr by which to multiply the @@ -126,7 +126,6 @@ def on_train_result( parser = add_rllib_example_script_args(default_reward=450.0, default_timesteps=250000) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--lr-const-factor", type=float, diff --git a/rllib/examples/learners/separate_vf_lr_and_optimizer.py b/rllib/examples/learners/separate_vf_lr_and_optimizer.py index 1e5359f1162b..7293599ac3fb 100644 --- a/rllib/examples/learners/separate_vf_lr_and_optimizer.py +++ b/rllib/examples/learners/separate_vf_lr_and_optimizer.py @@ -29,7 +29,7 @@ class for details on how to override the main (torch) `configure_optimizers_for_ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --lr-vf=0.001 --lr-policy=0.0005` +`python [script file name].py --lr-vf=0.001 --lr-policy=0.0005` Use the `--lr-policy` option to set the policy learning rate (used by the policy optimizer) and the `--lr-vf` option to set the value function learning rate (used by the @@ -79,7 +79,6 @@ class for details on how to override the main (torch) `configure_optimizers_for_ parser = add_rllib_example_script_args(default_reward=450.0) -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--lr-vf", type=float, @@ -97,9 +96,6 @@ class for details on how to override the main (torch) `configure_optimizers_for_ if __name__ == "__main__": args = parser.parse_args() - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" assert args.algo == "PPO", "Must set --algo=PPO when running this script!" base_config = ( diff --git a/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py b/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py index 56f3a8824e25..2b6084155ef0 100644 --- a/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py +++ b/rllib/examples/metrics/custom_metrics_in_algorithm_training_step.py @@ -16,7 +16,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --wandb-key [your WandB key] +`python [script file name].py --wandb-key [your WandB key] --wandb-project [some project name]` For debugging, use the following additional command line options @@ -86,7 +86,7 @@ def get_default_config(cls) -> AlgorithmConfig: parser = add_rllib_example_script_args(default_reward=50.0) -parser.set_defaults(enable_new_api_stack=True, default_timesteps=50000) +parser.set_defaults(default_timesteps=50000) if __name__ == "__main__": diff --git a/rllib/examples/metrics/custom_metrics_in_env_runners.py b/rllib/examples/metrics/custom_metrics_in_env_runners.py index c25416c6ee83..61f6b16a744b 100644 --- a/rllib/examples/metrics/custom_metrics_in_env_runners.py +++ b/rllib/examples/metrics/custom_metrics_in_env_runners.py @@ -42,7 +42,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --wandb-key [your WandB key] +`python [script file name].py --wandb-key [your WandB key] --wandb-project [some project name]` For debugging, use the following additional command line options @@ -302,7 +302,6 @@ def _get_pacman_yx_pos(self, env): parser = add_rllib_example_script_args(default_reward=450.0) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/multi_agent/custom_heuristic_policy.py b/rllib/examples/multi_agent/custom_heuristic_policy.py index 3f5d4c6a067d..45753d0bbc1b 100644 --- a/rllib/examples/multi_agent/custom_heuristic_policy.py +++ b/rllib/examples/multi_agent/custom_heuristic_policy.py @@ -9,7 +9,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -57,7 +57,6 @@ default_iters=40, default_reward=500.0, default_timesteps=200000 ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) diff --git a/rllib/examples/multi_agent/different_spaces_for_agents.py b/rllib/examples/multi_agent/different_spaces_for_agents.py index 7331a3e3aadc..7d139458eb8d 100644 --- a/rllib/examples/multi_agent/different_spaces_for_agents.py +++ b/rllib/examples/multi_agent/different_spaces_for_agents.py @@ -8,7 +8,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -86,10 +86,6 @@ def step(self, action_dict): if __name__ == "__main__": args = parser.parse_args() - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" - base_config = ( get_trainable_cls(args.algo) .get_default_config() diff --git a/rllib/examples/multi_agent/multi_agent_cartpole.py b/rllib/examples/multi_agent/multi_agent_cartpole.py index d58af8c7b659..3639595d3161 100644 --- a/rllib/examples/multi_agent/multi_agent_cartpole.py +++ b/rllib/examples/multi_agent/multi_agent_cartpole.py @@ -2,7 +2,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` Control the number of agents and policies (RLModules) via --num-agents and --num-policies. @@ -30,7 +30,11 @@ default_reward=600.0, ) # TODO (sven): This arg is currently ignored (hard-set to 2). -parser.add_argument("--num-policies", type=int, default=2) +parser.add_argument( + "--num-policies", + type=int, + default=2, +) if __name__ == "__main__": diff --git a/rllib/examples/multi_agent/multi_agent_pendulum.py b/rllib/examples/multi_agent/multi_agent_pendulum.py index 985e55aada32..926cc72d49ce 100644 --- a/rllib/examples/multi_agent/multi_agent_pendulum.py +++ b/rllib/examples/multi_agent/multi_agent_pendulum.py @@ -2,7 +2,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` Control the number of agents and policies (RLModules) via --num-agents and --num-policies. @@ -31,7 +31,11 @@ default_reward=-400.0, ) # TODO (sven): This arg is currently ignored (hard-set to 2). -parser.add_argument("--num-policies", type=int, default=2) +parser.add_argument( + "--num-policies", + type=int, + default=2, +) if __name__ == "__main__": diff --git a/rllib/examples/multi_agent/pettingzoo_independent_learning.py b/rllib/examples/multi_agent/pettingzoo_independent_learning.py index 7b25115cb7a4..86fb57e5c885 100644 --- a/rllib/examples/multi_agent/pettingzoo_independent_learning.py +++ b/rllib/examples/multi_agent/pettingzoo_independent_learning.py @@ -6,7 +6,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` Control the number of agents and policies (RLModules) via --num-agents and --num-policies. @@ -73,9 +73,6 @@ args = parser.parse_args() assert args.num_agents > 0, "Must set --num-agents > 0 when running this script!" - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" # Here, we use the "Agent Environment Cycle" (AEC) PettingZoo environment type. # For a "Parallel" environment example, see the rock paper scissors examples diff --git a/rllib/examples/multi_agent/pettingzoo_parameter_sharing.py b/rllib/examples/multi_agent/pettingzoo_parameter_sharing.py index d6eb4bda732e..026d594dbc31 100644 --- a/rllib/examples/multi_agent/pettingzoo_parameter_sharing.py +++ b/rllib/examples/multi_agent/pettingzoo_parameter_sharing.py @@ -9,7 +9,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` Control the number of agents and policies (RLModules) via --num-agents and --num-policies. @@ -71,9 +71,6 @@ args = parser.parse_args() assert args.num_agents > 0, "Must set --num-agents > 0 when running this script!" - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" # Here, we use the "Agent Environment Cycle" (AEC) PettingZoo environment type. # For a "Parallel" environment example, see the rock paper scissors examples diff --git a/rllib/examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py b/rllib/examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py index 7f56d82997d1..c1e9df60c77f 100644 --- a/rllib/examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py +++ b/rllib/examples/multi_agent/rock_paper_scissors_heuristic_vs_learned.py @@ -8,7 +8,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2 [--use-lstm]?` +`python [script file name].py --num-agents=2 [--use-lstm]?` Without `--use-lstm`, Agent 2 should quickly reach a reward of ~7.0, always beating the `always_same` policy, but only 50% of the time beating the `beat_last` @@ -59,7 +59,6 @@ default_reward=6.0, ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) parser.add_argument( diff --git a/rllib/examples/multi_agent/rock_paper_scissors_learned_vs_learned.py b/rllib/examples/multi_agent/rock_paper_scissors_learned_vs_learned.py index 89425b54a8d5..e8656b01db7b 100644 --- a/rllib/examples/multi_agent/rock_paper_scissors_learned_vs_learned.py +++ b/rllib/examples/multi_agent/rock_paper_scissors_learned_vs_learned.py @@ -33,7 +33,6 @@ default_reward=6.0, ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) parser.add_argument( diff --git a/rllib/examples/multi_agent/self_play_league_based_with_open_spiel.py b/rllib/examples/multi_agent/self_play_league_based_with_open_spiel.py index 2b225a3f65ed..9091640c0762 100644 --- a/rllib/examples/multi_agent/self_play_league_based_with_open_spiel.py +++ b/rllib/examples/multi_agent/self_play_league_based_with_open_spiel.py @@ -65,7 +65,6 @@ parser = add_rllib_example_script_args(default_timesteps=2000000) parser.set_defaults( - enable_new_api_stack=True, env="markov_soccer", num_env_runners=2, checkpoint_freq=1, @@ -134,7 +133,7 @@ def _get_multi_agent(): "league_exploiter_0", "league_exploiter_1", } - if args.enable_new_api_stack: + if not args.old_api_stack: policies = names spec = { mid: RLModuleSpec( @@ -174,13 +173,13 @@ def _get_multi_agent(): .callbacks( functools.partial( SelfPlayLeagueBasedCallback - if args.enable_new_api_stack + if not args.old_api_stack else SelfPlayLeagueBasedCallbackOldAPIStack, win_rate_threshold=args.win_rate_threshold, ) ) .env_runners( - num_envs_per_env_runner=1 if args.enable_new_api_stack else 5, + num_envs_per_env_runner=1 if not args.old_api_stack else 5, ) .training( num_epochs=20, @@ -192,7 +191,7 @@ def _get_multi_agent(): policies=_get_multi_agent()["policies"], policy_mapping_fn=( agent_to_module_mapping_fn - if args.enable_new_api_stack + if not args.old_api_stack else policy_mapping_fn ), # At first, only train main_0 (until good enough to win against @@ -234,7 +233,7 @@ def _get_multi_agent(): raise ValueError("No last checkpoint found in results!") algo.restore(checkpoint) - if args.enable_new_api_stack: + if not args.old_api_stack: rl_module = algo.get_module("main") # Play from the command line against the trained agent @@ -251,7 +250,7 @@ def _get_multi_agent(): action = ask_user_for_action(time_step) else: obs = np.array(time_step.observations["info_state"][player_id]) - if args.enable_new_api_stack: + if not args.old_api_stack: action = np.argmax( rl_module.forward_inference( {"obs": torch.from_numpy(obs).unsqueeze(0).float()} diff --git a/rllib/examples/multi_agent/self_play_with_open_spiel.py b/rllib/examples/multi_agent/self_play_with_open_spiel.py index 2a368996910a..8f9d22e39744 100644 --- a/rllib/examples/multi_agent/self_play_with_open_spiel.py +++ b/rllib/examples/multi_agent/self_play_with_open_spiel.py @@ -116,7 +116,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): functools.partial( ( SelfPlayCallback - if args.enable_new_api_stack + if not args.old_api_stack else SelfPlayCallbackOldAPIStack ), win_rate_threshold=args.win_rate_threshold, @@ -124,7 +124,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): ) .env_runners( num_env_runners=(args.num_env_runners or 2), - num_envs_per_env_runner=1 if args.enable_new_api_stack else 5, + num_envs_per_env_runner=1 if not args.old_api_stack else 5, ) .multi_agent( # Initial policy map: Random and default algo one. This will be expanded @@ -138,7 +138,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): # An initial random opponent to play against. "random": PolicySpec(policy_class=RandomPolicy), } - if not args.enable_new_api_stack + if args.old_api_stack else {"main", "random"} ), # Assign agent 0 and 1 randomly to the "main" policy or @@ -147,7 +147,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): # another "main"). policy_mapping_fn=( agent_to_module_mapping_fn - if args.enable_new_api_stack + if not args.old_api_stack else policy_mapping_fn ), # Always just train the "main" policy. @@ -195,7 +195,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): raise ValueError("No last checkpoint found in results!") algo.restore(checkpoint) - if args.enable_new_api_stack: + if not args.old_api_stack: rl_module = algo.get_module("main") # Play from the command line against the trained agent @@ -212,7 +212,7 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): action = ask_user_for_action(time_step) else: obs = np.array(time_step.observations["info_state"][player_id]) - if args.enable_new_api_stack: + if not args.old_api_stack: action = np.argmax( rl_module.forward_inference( {"obs": torch.from_numpy(obs).unsqueeze(0).float()} diff --git a/rllib/examples/multi_agent/two_step_game_with_grouped_agents.py b/rllib/examples/multi_agent/two_step_game_with_grouped_agents.py index 302f7155a257..2c4871c77145 100644 --- a/rllib/examples/multi_agent/two_step_game_with_grouped_agents.py +++ b/rllib/examples/multi_agent/two_step_game_with_grouped_agents.py @@ -5,7 +5,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` Note that in this script, we use an multi-agent environment in which both agents that normally play this game have been merged into one agent with ID @@ -60,9 +60,6 @@ args = parser.parse_args() assert args.num_agents == 2, "Must set --num-agents=2 when running this script!" - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" register_env( "grouped_twostep", diff --git a/rllib/examples/offline_rl/cartpole_recording.py b/rllib/examples/offline_rl/cartpole_recording.py index 42258ac46fe0..f1e0db30407b 100644 --- a/rllib/examples/offline_rl/cartpole_recording.py +++ b/rllib/examples/offline_rl/cartpole_recording.py @@ -65,7 +65,10 @@ default_timesteps=200000, default_reward=350.0, ) -parser.set_defaults(checkpoint_at_end=True, max_concurrent_trials=1) +parser.set_defaults( + checkpoint_at_end=True, + max_concurrent_trials=1, +) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/examples/offline_rl/pretrain_bc_single_agent_evaluate_as_multi_agent.py b/rllib/examples/offline_rl/pretrain_bc_single_agent_evaluate_as_multi_agent.py index bf819d78f216..c23a90110461 100644 --- a/rllib/examples/offline_rl/pretrain_bc_single_agent_evaluate_as_multi_agent.py +++ b/rllib/examples/offline_rl/pretrain_bc_single_agent_evaluate_as_multi_agent.py @@ -76,7 +76,9 @@ default_reward=450.0, default_timesteps=300000, ) -parser.set_defaults(num_agents=2) +parser.set_defaults( + num_agents=2, +) if __name__ == "__main__": diff --git a/rllib/examples/offline_rl/train_w_bc_finetune_w_ppo.py b/rllib/examples/offline_rl/train_w_bc_finetune_w_ppo.py index c0afea28f4b4..97dbf0c9f598 100644 --- a/rllib/examples/offline_rl/train_w_bc_finetune_w_ppo.py +++ b/rllib/examples/offline_rl/train_w_bc_finetune_w_ppo.py @@ -19,7 +19,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -97,7 +97,6 @@ parser = add_rllib_example_script_args() parser.set_defaults( - enable_new_api_stack=True, env="CartPole-v1", checkpoint_freq=1, ) diff --git a/rllib/examples/quadx_waypoints.py b/rllib/examples/quadx_waypoints.py index bbd7082c92e0..9e846a84e4b7 100644 --- a/rllib/examples/quadx_waypoints.py +++ b/rllib/examples/quadx_waypoints.py @@ -13,7 +13,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` Control the number of environments per `EnvRunner` via `--num-envs-per-env-runner`. This will increase sampling speed. diff --git a/rllib/examples/ray_serve/ray_serve_with_rllib.py b/rllib/examples/ray_serve/ray_serve_with_rllib.py index 0853151f40fa..6ac37465d3a6 100644 --- a/rllib/examples/ray_serve/ray_serve_with_rllib.py +++ b/rllib/examples/ray_serve/ray_serve_with_rllib.py @@ -14,7 +14,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --stop-reward=200.0` +`python [script file name].py --stop-reward=200.0` Use the `--stop-iters`, `--stop-reward`, and/or `--stop-timesteps` options to determine how long to train the policy for. Use the `--serve-episodes` option to @@ -93,7 +93,6 @@ parser = add_rllib_example_script_args() parser.set_defaults( - enable_new_api_stack=True, checkpoint_freq=1, checkpoint_at_and=True, ) diff --git a/rllib/examples/rl_modules/action_masking_rl_module.py b/rllib/examples/rl_modules/action_masking_rl_module.py index fd9984b9aceb..02d54742e7a9 100644 --- a/rllib/examples/rl_modules/action_masking_rl_module.py +++ b/rllib/examples/rl_modules/action_masking_rl_module.py @@ -21,7 +21,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-env-runners 2` +`python [script file name].py --num-env-runners 2` Control the number of `EnvRunner`s with the `--num-env-runners` flag. This will increase the sampling speed. diff --git a/rllib/examples/rl_modules/custom_cnn_rl_module.py b/rllib/examples/rl_modules/custom_cnn_rl_module.py index 4001f3e21d6b..361938c0a16c 100644 --- a/rllib/examples/rl_modules/custom_cnn_rl_module.py +++ b/rllib/examples/rl_modules/custom_cnn_rl_module.py @@ -22,7 +22,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -65,7 +65,6 @@ parser = add_rllib_example_script_args(default_iters=100, default_timesteps=600000) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) @@ -73,10 +72,6 @@ if __name__ == "__main__": args = parser.parse_args() - assert ( - args.enable_new_api_stack - ), "Must set --enable-new-api-stack when running this script!" - register_env( "env", lambda cfg: wrap_atari_for_new_api_stack( diff --git a/rllib/examples/rl_modules/custom_lstm_rl_module.py b/rllib/examples/rl_modules/custom_lstm_rl_module.py index 85b160808bd7..9d7975cd4732 100644 --- a/rllib/examples/rl_modules/custom_lstm_rl_module.py +++ b/rllib/examples/rl_modules/custom_lstm_rl_module.py @@ -24,7 +24,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack` +`python [script file name].py` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -57,7 +57,6 @@ default_reward=300.0, default_timesteps=2000000, ) -parser.set_defaults(enable_new_api_stack=True) if __name__ == "__main__": diff --git a/rllib/examples/rl_modules/pretraining_single_agent_training_multi_agent.py b/rllib/examples/rl_modules/pretraining_single_agent_training_multi_agent.py index bbb35184d7dd..9c009926a9f8 100644 --- a/rllib/examples/rl_modules/pretraining_single_agent_training_multi_agent.py +++ b/rllib/examples/rl_modules/pretraining_single_agent_training_multi_agent.py @@ -9,7 +9,7 @@ How to run this script ---------------------- -`python [script file name].py --enable-new-api-stack --num-agents=2` +`python [script file name].py --num-agents=2` For debugging, use the following additional command line options `--no-tune --num-env-runners=0` @@ -25,8 +25,8 @@ ----------------- In the console output, you can see that the single-agent policy is first trained until the specified `--stop-reward-pretraining` value. For example, with the command line: -`--enable-new-api-stack --num-agents=2 --stop-reward-pretraining=250.0 ---stop-reward=250.0 --stop-iters=3 --as-test`, you should get something like: +`--num-agents=2 --stop-reward-pretraining=250.0 --stop-reward=250.0 +--stop-iters=3 --as-test`, you should get something like: +-----------------------+------------+------+----------------+---------------------+ | Trial name | status | iter | total time (s) | episode_return_mean | | | | | | | diff --git a/rllib/tuned_examples/appo/cartpole_appo.py b/rllib/tuned_examples/appo/cartpole_appo.py index a85a9120ba2a..bfc1db412b60 100644 --- a/rllib/tuned_examples/appo/cartpole_appo.py +++ b/rllib/tuned_examples/appo/cartpole_appo.py @@ -6,7 +6,6 @@ default_reward=450.0, default_timesteps=2000000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/appo/halfcheetah_appo.py b/rllib/tuned_examples/appo/halfcheetah_appo.py index 3821f55600a0..aef2bd7cbe3b 100644 --- a/rllib/tuned_examples/appo/halfcheetah_appo.py +++ b/rllib/tuned_examples/appo/halfcheetah_appo.py @@ -6,7 +6,6 @@ default_timesteps=100000000, ) parser.set_defaults( - enable_new_api_stack=True, env="HalfCheetah-v4", ) args = parser.parse_args() diff --git a/rllib/tuned_examples/appo/multi_agent_cartpole_appo.py b/rllib/tuned_examples/appo/multi_agent_cartpole_appo.py index 6e4de982a643..893a4809397c 100644 --- a/rllib/tuned_examples/appo/multi_agent_cartpole_appo.py +++ b/rllib/tuned_examples/appo/multi_agent_cartpole_appo.py @@ -11,7 +11,6 @@ parser = add_rllib_example_script_args(default_timesteps=2000000) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/appo/multi_agent_pong_appo.py b/rllib/tuned_examples/appo/multi_agent_pong_appo.py index 04fa5a7ad6d1..ec35d367428d 100644 --- a/rllib/tuned_examples/appo/multi_agent_pong_appo.py +++ b/rllib/tuned_examples/appo/multi_agent_pong_appo.py @@ -19,7 +19,6 @@ default_iters=400, ) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", num_agents=2, ) diff --git a/rllib/tuned_examples/appo/multi_agent_stateless_cartpole_appo.py b/rllib/tuned_examples/appo/multi_agent_stateless_cartpole_appo.py index b52e1dfebe05..b1307cae7277 100644 --- a/rllib/tuned_examples/appo/multi_agent_stateless_cartpole_appo.py +++ b/rllib/tuned_examples/appo/multi_agent_stateless_cartpole_appo.py @@ -11,7 +11,6 @@ parser = add_rllib_example_script_args(default_timesteps=2000000) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, num_env_runners=6, ) diff --git a/rllib/tuned_examples/appo/pendulum_appo.py b/rllib/tuned_examples/appo/pendulum_appo.py index af6d3f30b562..5abd236ee5a0 100644 --- a/rllib/tuned_examples/appo/pendulum_appo.py +++ b/rllib/tuned_examples/appo/pendulum_appo.py @@ -7,7 +7,6 @@ default_timesteps=100000000, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=4, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/appo/pong_appo.py b/rllib/tuned_examples/appo/pong_appo.py index e8947ccc4a4a..8ee29b38ca09 100644 --- a/rllib/tuned_examples/appo/pong_appo.py +++ b/rllib/tuned_examples/appo/pong_appo.py @@ -13,7 +13,6 @@ default_timesteps=10000000, ) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) args = parser.parse_args() diff --git a/rllib/tuned_examples/appo/stateless_cartpole_appo.py b/rllib/tuned_examples/appo/stateless_cartpole_appo.py index 1dc90af7464a..a492bd79ebd3 100644 --- a/rllib/tuned_examples/appo/stateless_cartpole_appo.py +++ b/rllib/tuned_examples/appo/stateless_cartpole_appo.py @@ -8,7 +8,6 @@ default_reward=300.0, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=3, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/bc/cartpole_bc.py b/rllib/tuned_examples/bc/cartpole_bc.py index ae9d01c1a60d..327dbb32fb44 100644 --- a/rllib/tuned_examples/bc/cartpole_bc.py +++ b/rllib/tuned_examples/bc/cartpole_bc.py @@ -15,7 +15,6 @@ ) parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py index 028e70a44d7b..326f7712936b 100644 --- a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py +++ b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py @@ -15,7 +15,6 @@ ) parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) parser.add_argument( "--offline-evaluation-interval", diff --git a/rllib/tuned_examples/cql/pendulum_cql.py b/rllib/tuned_examples/cql/pendulum_cql.py index 33cdbafaac51..74526cd23153 100644 --- a/rllib/tuned_examples/cql/pendulum_cql.py +++ b/rllib/tuned_examples/cql/pendulum_cql.py @@ -14,7 +14,6 @@ ) parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/dqn/cartpole_dqn.py b/rllib/tuned_examples/dqn/cartpole_dqn.py index 12edd44fb1af..c5c4f00df177 100644 --- a/rllib/tuned_examples/dqn/cartpole_dqn.py +++ b/rllib/tuned_examples/dqn/cartpole_dqn.py @@ -6,7 +6,6 @@ default_reward=450.0, default_timesteps=200000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/dqn/multi_agent_cartpole_dqn.py b/rllib/tuned_examples/dqn/multi_agent_cartpole_dqn.py index 58fd19376716..a6def2b8f3fe 100644 --- a/rllib/tuned_examples/dqn/multi_agent_cartpole_dqn.py +++ b/rllib/tuned_examples/dqn/multi_agent_cartpole_dqn.py @@ -14,7 +14,6 @@ default_timesteps=500000, ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/dqn/stateless_cartpole_dqn.py b/rllib/tuned_examples/dqn/stateless_cartpole_dqn.py index 5ad0cfc8c7a9..e24b70a6b639 100644 --- a/rllib/tuned_examples/dqn/stateless_cartpole_dqn.py +++ b/rllib/tuned_examples/dqn/stateless_cartpole_dqn.py @@ -9,7 +9,6 @@ default_reward=350.0, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=3, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/impala/cartpole_impala.py b/rllib/tuned_examples/impala/cartpole_impala.py index e8dc196592b7..524605262dbb 100644 --- a/rllib/tuned_examples/impala/cartpole_impala.py +++ b/rllib/tuned_examples/impala/cartpole_impala.py @@ -6,7 +6,6 @@ default_reward=450.0, default_timesteps=2000000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/impala/heavy_cartpole_impala.py b/rllib/tuned_examples/impala/heavy_cartpole_impala.py index 8d75be275eae..e12b9539d79f 100644 --- a/rllib/tuned_examples/impala/heavy_cartpole_impala.py +++ b/rllib/tuned_examples/impala/heavy_cartpole_impala.py @@ -40,7 +40,6 @@ def observation(self, observation): default_reward=450.0, default_timesteps=2000000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/impala/multi_agent_cartpole_impala.py b/rllib/tuned_examples/impala/multi_agent_cartpole_impala.py index e166e6eee8c9..647d708878a8 100644 --- a/rllib/tuned_examples/impala/multi_agent_cartpole_impala.py +++ b/rllib/tuned_examples/impala/multi_agent_cartpole_impala.py @@ -11,7 +11,6 @@ parser = add_rllib_example_script_args() parser.set_defaults( - enable_new_api_stack=True, num_agents=2, num_env_runners=4, ) diff --git a/rllib/tuned_examples/impala/multi_agent_stateless_cartpole_impala.py b/rllib/tuned_examples/impala/multi_agent_stateless_cartpole_impala.py index 958248f998b5..641273a824dd 100644 --- a/rllib/tuned_examples/impala/multi_agent_stateless_cartpole_impala.py +++ b/rllib/tuned_examples/impala/multi_agent_stateless_cartpole_impala.py @@ -11,7 +11,6 @@ parser = add_rllib_example_script_args(default_timesteps=5000000) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, num_env_runners=4, ) diff --git a/rllib/tuned_examples/impala/pendulum_impala.py b/rllib/tuned_examples/impala/pendulum_impala.py index c185b57e5461..bba0b50b4f7f 100644 --- a/rllib/tuned_examples/impala/pendulum_impala.py +++ b/rllib/tuned_examples/impala/pendulum_impala.py @@ -8,7 +8,6 @@ from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/impala/pong_impala.py b/rllib/tuned_examples/impala/pong_impala.py index 338bddfb56c5..b39cb107f84c 100644 --- a/rllib/tuned_examples/impala/pong_impala.py +++ b/rllib/tuned_examples/impala/pong_impala.py @@ -19,7 +19,6 @@ default_timesteps=10000000, ) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) parser.add_argument( diff --git a/rllib/tuned_examples/impala/stateless_cartpole_impala.py b/rllib/tuned_examples/impala/stateless_cartpole_impala.py index 8cf5c86d0a0e..b986a82ac6e7 100644 --- a/rllib/tuned_examples/impala/stateless_cartpole_impala.py +++ b/rllib/tuned_examples/impala/stateless_cartpole_impala.py @@ -8,7 +8,6 @@ default_timesteps=2000000, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=5, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/marwil/cartpole_marwil.py b/rllib/tuned_examples/marwil/cartpole_marwil.py index 8a3e66ad37ed..d31836b93960 100644 --- a/rllib/tuned_examples/marwil/cartpole_marwil.py +++ b/rllib/tuned_examples/marwil/cartpole_marwil.py @@ -14,7 +14,6 @@ ) parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/ppo/atari_ppo.py b/rllib/tuned_examples/ppo/atari_ppo.py index 10f657069794..9c637d7a8195 100644 --- a/rllib/tuned_examples/ppo/atari_ppo.py +++ b/rllib/tuned_examples/ppo/atari_ppo.py @@ -18,7 +18,6 @@ default_iters=100000000000, ) parser.set_defaults( - enable_new_api_stack=True, env="ale_py:ALE/Pong-v5", ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/ppo/cartpole_heavy_ppo.py b/rllib/tuned_examples/ppo/cartpole_heavy_ppo.py index 1a12ee81b5ba..6fc8ca5f1c65 100644 --- a/rllib/tuned_examples/ppo/cartpole_heavy_ppo.py +++ b/rllib/tuned_examples/ppo/cartpole_heavy_ppo.py @@ -7,7 +7,6 @@ from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args(default_reward=450.0, default_timesteps=300000) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/ppo/cartpole_ppo.py b/rllib/tuned_examples/ppo/cartpole_ppo.py index d00fa5db8831..12fcd9714ad3 100644 --- a/rllib/tuned_examples/ppo/cartpole_ppo.py +++ b/rllib/tuned_examples/ppo/cartpole_ppo.py @@ -3,7 +3,6 @@ from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args(default_reward=450.0, default_timesteps=300000) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/ppo/cartpole_truncated_ppo.py b/rllib/tuned_examples/ppo/cartpole_truncated_ppo.py index 7a0a28deb393..f9c18f2cd08b 100644 --- a/rllib/tuned_examples/ppo/cartpole_truncated_ppo.py +++ b/rllib/tuned_examples/ppo/cartpole_truncated_ppo.py @@ -12,7 +12,6 @@ from ray.tune.registry import register_env parser = add_rllib_example_script_args() -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py b/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py index 15e2cf2f5473..ea88cca34180 100644 --- a/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py +++ b/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py @@ -11,7 +11,6 @@ parser = add_rllib_example_script_args() parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/ppo/multi_agent_pendulum_ppo.py b/rllib/tuned_examples/ppo/multi_agent_pendulum_ppo.py index 37ab63d62622..cd7c4988553a 100644 --- a/rllib/tuned_examples/ppo/multi_agent_pendulum_ppo.py +++ b/rllib/tuned_examples/ppo/multi_agent_pendulum_ppo.py @@ -12,7 +12,6 @@ parser = add_rllib_example_script_args(default_timesteps=500000) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py b/rllib/tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py index b55d26c81d2b..867b487ecd53 100644 --- a/rllib/tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py +++ b/rllib/tuned_examples/ppo/multi_agent_stateless_cartpole_ppo.py @@ -12,7 +12,6 @@ parser = add_rllib_example_script_args(default_timesteps=4000000) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, num_env_runners=3, ) diff --git a/rllib/tuned_examples/ppo/pendulum_ppo.py b/rllib/tuned_examples/ppo/pendulum_ppo.py index d1dbde0ca581..5ca9b5587377 100644 --- a/rllib/tuned_examples/ppo/pendulum_ppo.py +++ b/rllib/tuned_examples/ppo/pendulum_ppo.py @@ -4,7 +4,6 @@ from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args(default_timesteps=400000, default_reward=-300) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/ppo/stateless_cartpole_ppo.py b/rllib/tuned_examples/ppo/stateless_cartpole_ppo.py index f45b2f49d244..f0ca441eaf73 100644 --- a/rllib/tuned_examples/ppo/stateless_cartpole_ppo.py +++ b/rllib/tuned_examples/ppo/stateless_cartpole_ppo.py @@ -9,7 +9,6 @@ default_reward=350.0, ) parser.set_defaults( - enable_new_api_stack=True, num_env_runners=3, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/sac/halfcheetah_sac.py b/rllib/tuned_examples/sac/halfcheetah_sac.py index 45e429b0c239..0728bde4023b 100644 --- a/rllib/tuned_examples/sac/halfcheetah_sac.py +++ b/rllib/tuned_examples/sac/halfcheetah_sac.py @@ -9,7 +9,6 @@ default_reward=12000.0, default_iters=2000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/sac/humanoid_sac.py b/rllib/tuned_examples/sac/humanoid_sac.py index d74ca4d32388..aec44a049ecb 100644 --- a/rllib/tuned_examples/sac/humanoid_sac.py +++ b/rllib/tuned_examples/sac/humanoid_sac.py @@ -18,7 +18,6 @@ default_reward=12000.0, default_iters=2000, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/sac/mountaincar_sac.py b/rllib/tuned_examples/sac/mountaincar_sac.py index 554b02ca76aa..6b4971fda636 100644 --- a/rllib/tuned_examples/sac/mountaincar_sac.py +++ b/rllib/tuned_examples/sac/mountaincar_sac.py @@ -8,7 +8,6 @@ default_timesteps=20000, default_reward=-250.0, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/tuned_examples/sac/multi_agent_pendulum_sac.py b/rllib/tuned_examples/sac/multi_agent_pendulum_sac.py index 0e33dc3988ec..8da55e894297 100644 --- a/rllib/tuned_examples/sac/multi_agent_pendulum_sac.py +++ b/rllib/tuned_examples/sac/multi_agent_pendulum_sac.py @@ -16,7 +16,6 @@ default_timesteps=500000, ) parser.set_defaults( - enable_new_api_stack=True, num_agents=2, ) # Use `parser` to add your own custom command line options to this script diff --git a/rllib/tuned_examples/sac/pendulum_sac.py b/rllib/tuned_examples/sac/pendulum_sac.py index 2a050378e14a..a7f2c0fed90e 100644 --- a/rllib/tuned_examples/sac/pendulum_sac.py +++ b/rllib/tuned_examples/sac/pendulum_sac.py @@ -8,7 +8,6 @@ default_timesteps=20000, default_reward=-250.0, ) -parser.set_defaults(enable_new_api_stack=True) # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() diff --git a/rllib/utils/test_utils.py b/rllib/utils/test_utils.py index a69882cd4dcb..2ca0547d73ee 100644 --- a/rllib/utils/test_utils.py +++ b/rllib/utils/test_utils.py @@ -82,11 +82,6 @@ def add_rllib_example_script_args( parser.add_argument( "--algo", type=str, default="PPO", help="The RLlib-registered algorithm to use." ) - parser.add_argument( - "--enable-new-api-stack", - action="store_true", - help="Whether to use the `enable_rl_module_and_learner` config setting.", - ) parser.add_argument( "--framework", choices=["tf", "tf2", "torch"], @@ -327,6 +322,18 @@ def add_rllib_example_script_args( default=None, help="The number of GPUs to use (only on the old API stack).", ) + parser.add_argument( + "--old-api-stack", + action="store_true", + help="Run this script on the old API stack of RLlib.", + ) + + # Deprecated options. Throws error when still used. Use `--old-api-stack` for + # disabling the new API stack. + parser.add_argument( + "--enable-new-api-stack", + action="store_true", + ) return parser @@ -1106,6 +1113,14 @@ def run_rllib_example_script_experiment( parser = add_rllib_example_script_args() args = parser.parse_args() + # Deprecated args. + if args.enable_new_api_stack: + raise ValueError( + "`--enable-new-api-stack` flag no longer supported (it's the default " + "behavior now)! To switch back to the old API stack on your scripts, use " + "the `--old-api-stack` flag." + ) + # If run --as-release-test, --as-test must also be set. if args.as_release_test: args.as_test = True @@ -1139,7 +1154,7 @@ def run_rllib_example_script_experiment( config.environment(args.env) # Disable the new API stack? - if not args.enable_new_api_stack: + if args.old_api_stack: config.api_stack( enable_rl_module_and_learner=False, enable_env_runner_and_connector_v2=False, From eb95e9d0cdd4ea29c699129b7857e763e7f8dac1 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Fri, 18 Jul 2025 09:22:12 -0700 Subject: [PATCH 0266/1566] [Serve.llm][Bugfix] Allow users to enable log_stats (#54719) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../ray/llm/_internal/serve/configs/server_models.py | 12 ++++++++++++ .../serve/deployments/llm/vllm/vllm_models.py | 9 --------- .../ray/llm/tests/serve/cpu/configs/test_models.py | 12 ++++++++++++ 3 files changed, 24 insertions(+), 9 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 722f61d3f497..cacdf4aeeba3 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -18,6 +18,7 @@ PositiveInt, PrivateAttr, field_validator, + model_validator, ) import ray @@ -311,6 +312,17 @@ def validate_deployment_config(cls, value: Dict[str, Any]) -> Dict[str, Any]: return value + @model_validator(mode="after") + def _check_log_stats_with_metrics(self): + # Require disable_log_stats is not set to True when log_engine_metrics is enabled. + if self.log_engine_metrics and self.engine_kwargs.get("disable_log_stats"): + raise ValueError( + "disable_log_stats cannot be set to True when log_engine_metrics is enabled. " + "Engine metrics require log stats to be enabled." + ) + + return self + def multiplex_config(self) -> ServeMultiplexConfig: multiplex_config = None if self.lora_config: diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index a840575f468a..6daf653dbd5d 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -136,15 +136,6 @@ def get_initialization_kwargs(self) -> dict: else: engine_kwargs["distributed_executor_backend"] = "ray" - if ( - "disable_log_stats" in engine_kwargs - and not engine_kwargs["disable_log_stats"] - ): - logger.warning( - "disable_log_stats = False is not allowed in engine_kwargs when using Ray Serve LLM Configs. Setting it to True." - ) - engine_kwargs["disable_log_stats"] = True - return engine_kwargs def get_runtime_env_with_local_env_vars(self) -> dict: diff --git a/python/ray/llm/tests/serve/cpu/configs/test_models.py b/python/ray/llm/tests/serve/cpu/configs/test_models.py index b4c4fbcf03ca..886cf7430e31 100644 --- a/python/ray/llm/tests/serve/cpu/configs/test_models.py +++ b/python/ray/llm/tests/serve/cpu/configs/test_models.py @@ -273,6 +273,18 @@ def test_experimental_configs(self): experimental_configs={123: "value1"}, ) + def test_log_engine_metrics_disable_log_stats_validation(self): + """Test that log_engine_metrics=True prevents disable_log_stats=True.""" + with pytest.raises( + pydantic.ValidationError, + match="disable_log_stats cannot be set to True when log_engine_metrics is enabled", + ): + LLMConfig( + model_loading_config=ModelLoadingConfig(model_id="test_model"), + log_engine_metrics=True, + engine_kwargs={"disable_log_stats": True}, + ) + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From ac4cee8dfafec067133e217a2a9c2eddd4f96210 Mon Sep 17 00:00:00 2001 From: cristianjd Date: Fri, 18 Jul 2025 10:07:43 -0700 Subject: [PATCH 0267/1566] fix version switcher CSS (#54730) Signed-off-by: Douglas Strodtman --- doc/source/_static/css/custom.css | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/doc/source/_static/css/custom.css b/doc/source/_static/css/custom.css index 0815b7c37884..24ed4992b2ba 100644 --- a/doc/source/_static/css/custom.css +++ b/doc/source/_static/css/custom.css @@ -394,6 +394,12 @@ table.autosummary tr > td:first-child > p > a > code > span { overflow-y: scroll; } +/* Right align the version switcher dropdown menu to prevent it from going off screen */ +.version-switcher__menu[data-bs-popper] { + right: 0; + left: unset; +} + /* Hide the RTD version switcher since we are using PyData theme one */ readthedocs-flyout { display: none !important; From 40064139365bfbcb5727402c4b07cbd4552bbb16 Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Fri, 18 Jul 2025 19:09:21 +0200 Subject: [PATCH 0268/1566] [java] encapsulation + resource immutability for option classes (#54370) Signed-off-by: axreldable Co-authored-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- .../ray/api/options/ActorCreationOptions.java | 163 +++++++++++------- .../io/ray/api/options/BaseTaskOptions.java | 79 ++++++--- .../java/io/ray/api/options/CallOptions.java | 50 ++++-- .../PlacementGroupCreationOptions.java | 27 ++- .../io/ray/runtime/AbstractRayRuntime.java | 6 +- .../runtime/task/LocalModeTaskSubmitter.java | 59 ++++--- .../ray/runtime/task/NativeTaskSubmitter.java | 29 ++-- .../java/io/ray/test/BaseTaskOptionsTest.java | 48 +++++- 8 files changed, 305 insertions(+), 156 deletions(-) diff --git a/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java b/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java index dbd156446920..03c1168d0ebf 100644 --- a/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java +++ b/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java @@ -14,58 +14,107 @@ public class ActorCreationOptions extends BaseTaskOptions { public static final int NO_RESTART = 0; public static final int INFINITE_RESTART = -1; - public final String name; - public ActorLifetime lifetime; - public final int maxRestarts; - public final int maxTaskRetries; - public final List jvmOptions; - public final int maxConcurrency; - public final PlacementGroup group; - public final int bundleIndex; - public final List concurrencyGroups; - public final String serializedRuntimeEnv; - public final String namespace; - public final int maxPendingCalls; - public final boolean isAsync; - public final boolean executeOutOfOrder; - - private ActorCreationOptions( - String name, - ActorLifetime lifetime, - Map resources, - int maxRestarts, - int maxTaskRetries, - List jvmOptions, - int maxConcurrency, - PlacementGroup group, - int bundleIndex, - List concurrencyGroups, - String serializedRuntimeEnv, - String namespace, - int maxPendingCalls, - boolean isAsync) { - super(resources); - this.name = name; - this.lifetime = lifetime; - this.maxRestarts = maxRestarts; - this.maxTaskRetries = maxTaskRetries; - this.jvmOptions = jvmOptions; - this.maxConcurrency = maxConcurrency; - this.group = group; - this.bundleIndex = bundleIndex; - this.concurrencyGroups = concurrencyGroups; - this.serializedRuntimeEnv = serializedRuntimeEnv; - this.namespace = namespace; - this.maxPendingCalls = maxPendingCalls; - this.isAsync = isAsync; - this.executeOutOfOrder = isAsync; + private final String name; + private final ActorLifetime lifetime; + private final int maxRestarts; + private final int maxTaskRetries; + private final List jvmOptions; + private final int maxConcurrency; + private final PlacementGroup group; + private final int bundleIndex; + private final List concurrencyGroups; + private final String serializedRuntimeEnv; + private final String namespace; + private final int maxPendingCalls; + private final boolean isAsync; + private final boolean executeOutOfOrder; + + private ActorCreationOptions(Builder builder) { + super(builder.resources); + this.name = builder.name; + this.lifetime = builder.lifetime; + this.maxRestarts = builder.maxRestarts; + this.maxTaskRetries = builder.maxTaskRetries; + this.jvmOptions = + builder.jvmOptions != null + ? java.util.Collections.unmodifiableList(builder.jvmOptions) + : null; + this.maxConcurrency = builder.maxConcurrency; + this.group = builder.group; + this.bundleIndex = builder.bundleIndex; + this.concurrencyGroups = + builder.concurrencyGroups != null + ? java.util.Collections.unmodifiableList(builder.concurrencyGroups) + : null; + this.serializedRuntimeEnv = + builder.runtimeEnv != null ? builder.runtimeEnv.serializeToRuntimeEnvInfo() : ""; + this.namespace = builder.namespace; + this.maxPendingCalls = builder.maxPendingCalls; + this.isAsync = builder.isAsync; + this.executeOutOfOrder = builder.isAsync; + } + + public String getName() { + return name; + } + + public ActorLifetime getLifetime() { + return lifetime; + } + + public int getMaxRestarts() { + return maxRestarts; + } + + public int getMaxTaskRetries() { + return maxTaskRetries; + } + + public List getJvmOptions() { + return jvmOptions; + } + + public int getMaxConcurrency() { + return maxConcurrency; + } + + public PlacementGroup getGroup() { + return group; + } + + public int getBundleIndex() { + return bundleIndex; + } + + public List getConcurrencyGroups() { + return concurrencyGroups; + } + + public String getSerializedRuntimeEnv() { + return serializedRuntimeEnv; + } + + public String getNamespace() { + return namespace; + } + + public int getMaxPendingCalls() { + return maxPendingCalls; + } + + public boolean isAsync() { + return isAsync; + } + + public boolean isExecuteOutOfOrder() { + return executeOutOfOrder; } /** The inner class for building ActorCreationOptions. */ public static class Builder { private String name; private ActorLifetime lifetime = null; - private Map resources = new HashMap<>(); + private final Map resources = new HashMap<>(); private int maxRestarts = 0; private int maxTaskRetries = 0; private List jvmOptions = new ArrayList<>(); @@ -223,24 +272,6 @@ public Builder setPlacementGroup(PlacementGroup group, int bundleIndex) { return this; } - public ActorCreationOptions build() { - return new ActorCreationOptions( - name, - lifetime, - resources, - maxRestarts, - maxTaskRetries, - jvmOptions, - maxConcurrency, - group, - bundleIndex, - concurrencyGroups, - runtimeEnv != null ? runtimeEnv.serializeToRuntimeEnvInfo() : "", - namespace, - maxPendingCalls, - isAsync); - } - /** Set the concurrency groups for this actor. */ public Builder setConcurrencyGroups(List concurrencyGroups) { this.concurrencyGroups = concurrencyGroups; @@ -256,5 +287,9 @@ public Builder setNamespace(String namespace) { this.namespace = namespace; return this; } + + public ActorCreationOptions build() { + return new ActorCreationOptions(this); + } } } diff --git a/java/api/src/main/java/io/ray/api/options/BaseTaskOptions.java b/java/api/src/main/java/io/ray/api/options/BaseTaskOptions.java index 817af0d7dc4b..1147f5e6db31 100644 --- a/java/api/src/main/java/io/ray/api/options/BaseTaskOptions.java +++ b/java/api/src/main/java/io/ray/api/options/BaseTaskOptions.java @@ -1,41 +1,70 @@ package io.ray.api.options; import java.io.Serializable; +import java.util.Collections; import java.util.HashMap; import java.util.Map; /** The options class for RayCall or ActorCreation. */ public abstract class BaseTaskOptions implements Serializable { - public final Map resources = new HashMap<>(); - - public BaseTaskOptions() {} + private final Map resources; public BaseTaskOptions(Map resources) { + if (resources == null) { + throw new IllegalArgumentException("Resources map should not be null!"); + } + + Map filteredResources = validateAndFilterResources(resources); + this.resources = Collections.unmodifiableMap(filteredResources); + } + + private Map validateAndFilterResources(Map resources) { + Map filtered = new HashMap<>(); for (Map.Entry entry : resources.entrySet()) { - if (entry.getValue() == null || entry.getValue().compareTo(0.0) < 0) { - throw new IllegalArgumentException( - String.format( - "Resource values should be " + "non negative. Specified resource: %s = %s.", - entry.getKey(), entry.getValue())); - } - // Note: A resource value should be an integer if it is greater than 1.0. - // e.g. 3.0 is a valid resource value, but 3.5 is not. - if (entry.getValue().compareTo(1.0) >= 0 - && entry.getValue().compareTo(Math.floor(entry.getValue())) != 0) { - throw new IllegalArgumentException( - String.format( - "A resource value should be " - + "an integer if it is greater than 1.0. Specified resource: %s = %s.", - entry.getKey(), entry.getValue())); + String name = entry.getKey(); + Double value = entry.getValue(); + + validateResourceValue(name, value); + validateIntegerConstraint(name, value); + + if (value != 0.0) { + filtered.put(name, value); } } - /// Filter 0 resources - resources.forEach( - (key, value) -> { - if (value != 0) { - this.resources.put(key, value); - } - }); + return filtered; + } + + private void validateResourceValue(String name, Double value) { + if (name == null || value == null) { + throw new IllegalArgumentException( + String.format( + "Resource name and value should not be null. Specified resource: %s = %s.", + name, value)); + } else if (value < 0.0) { + throw new IllegalArgumentException( + String.format( + "Resource values should be non negative. Specified resource: %s = %s.", name, value)); + } + } + + /** + * Validates that resource values greater than or equal to 1.0 are integers. + * + * @param name the name of the resource being validated + * @param value the value of the resource to validate + * @throws IllegalArgumentException if the value is >= 1.0 and not an integer + */ + private void validateIntegerConstraint(String name, Double value) { + if (value >= 1.0 && value % 1.0 != 0.0) { + throw new IllegalArgumentException( + String.format( + "A resource value should be an integer if it is greater than 1.0. Specified resource: %s = %s", + name, value)); + } + } + + public Map getResources() { + return resources; } } diff --git a/java/api/src/main/java/io/ray/api/options/CallOptions.java b/java/api/src/main/java/io/ray/api/options/CallOptions.java index e0af44e0cd7c..0766de6b573b 100644 --- a/java/api/src/main/java/io/ray/api/options/CallOptions.java +++ b/java/api/src/main/java/io/ray/api/options/CallOptions.java @@ -8,26 +8,40 @@ /** The options for RayCall. */ public class CallOptions extends BaseTaskOptions { - public final String name; - public final PlacementGroup group; - public final int bundleIndex; - public final String concurrencyGroupName; + private final String name; + private final PlacementGroup group; + private final int bundleIndex; + private final String concurrencyGroupName; private final String serializedRuntimeEnvInfo; - private CallOptions( - String name, - Map resources, - PlacementGroup group, - int bundleIndex, - String concurrencyGroupName, - RuntimeEnv runtimeEnv) { - super(resources); - this.name = name; - this.group = group; - this.bundleIndex = bundleIndex; - this.concurrencyGroupName = concurrencyGroupName; + private CallOptions(Builder builder) { + super(builder.resources); + this.name = builder.name; + this.group = builder.group; + this.bundleIndex = builder.bundleIndex; + this.concurrencyGroupName = builder.concurrencyGroupName; this.serializedRuntimeEnvInfo = - runtimeEnv == null ? "" : runtimeEnv.serializeToRuntimeEnvInfo(); + builder.runtimeEnv == null ? "" : builder.runtimeEnv.serializeToRuntimeEnvInfo(); + } + + public String getName() { + return name; + } + + public PlacementGroup getGroup() { + return group; + } + + public int getBundleIndex() { + return bundleIndex; + } + + public String getConcurrencyGroupName() { + return concurrencyGroupName; + } + + public String getSerializedRuntimeEnvInfo() { + return serializedRuntimeEnvInfo; } /** This inner class for building CallOptions. */ @@ -100,7 +114,7 @@ public Builder setRuntimeEnv(RuntimeEnv runtimeEnv) { } public CallOptions build() { - return new CallOptions(name, resources, group, bundleIndex, concurrencyGroupName, runtimeEnv); + return new CallOptions(this); } } } diff --git a/java/api/src/main/java/io/ray/api/options/PlacementGroupCreationOptions.java b/java/api/src/main/java/io/ray/api/options/PlacementGroupCreationOptions.java index 3e9b148530f0..91a5de0d72ad 100644 --- a/java/api/src/main/java/io/ray/api/options/PlacementGroupCreationOptions.java +++ b/java/api/src/main/java/io/ray/api/options/PlacementGroupCreationOptions.java @@ -2,14 +2,17 @@ import io.ray.api.Ray; import io.ray.api.placementgroup.PlacementStrategy; +import java.util.Collections; +import java.util.HashMap; import java.util.List; import java.util.Map; +import java.util.stream.Collectors; /** The options for creating placement group. */ public class PlacementGroupCreationOptions { - public final String name; - public final List> bundles; - public final PlacementStrategy strategy; + private final String name; + private final List> bundles; + private final PlacementStrategy strategy; public PlacementGroupCreationOptions( String name, List> bundles, PlacementStrategy strategy) { @@ -30,10 +33,26 @@ public PlacementGroupCreationOptions( "`PlacementStrategy` must be specified when creating a new placement group."); } this.name = name; - this.bundles = bundles; + this.bundles = + Collections.unmodifiableList( + bundles.stream() + .map(bundle -> Collections.unmodifiableMap(new HashMap<>(bundle))) + .collect(Collectors.toList())); this.strategy = strategy; } + public String getName() { + return name; + } + + public List> getBundles() { + return bundles; + } + + public PlacementStrategy getStrategy() { + return strategy; + } + /** The inner class for building PlacementGroupCreationOptions. */ public static class Builder { private String name; diff --git a/java/runtime/src/main/java/io/ray/runtime/AbstractRayRuntime.java b/java/runtime/src/main/java/io/ray/runtime/AbstractRayRuntime.java index 36065df4b5ee..27202a7b75e2 100644 --- a/java/runtime/src/main/java/io/ray/runtime/AbstractRayRuntime.java +++ b/java/runtime/src/main/java/io/ray/runtime/AbstractRayRuntime.java @@ -393,7 +393,8 @@ private BaseActorHandle createActorImpl( if (options == null) { LOGGER.debug("Creating Actor {} with default options.", functionDescriptor); } else { - LOGGER.debug("Creating Actor {}, jvmOptions = {}.", functionDescriptor, options.jvmOptions); + LOGGER.debug( + "Creating Actor {}, jvmOptions = {}.", functionDescriptor, options.getJvmOptions()); } } if (rayConfig.runMode == RunMode.LOCAL && functionDescriptor.getLanguage() != Language.JAVA) { @@ -403,7 +404,8 @@ private BaseActorHandle createActorImpl( List functionArgs = ArgumentsBuilder.wrap(args, functionDescriptor.getLanguage()); if (functionDescriptor.getLanguage() != Language.JAVA && options != null) { - Preconditions.checkState(options.jvmOptions == null || options.jvmOptions.size() == 0); + Preconditions.checkState( + options.getJvmOptions() == null || options.getJvmOptions().isEmpty()); } BaseActorHandle actor = taskSubmitter.createActor(functionDescriptor, functionArgs, options); diff --git a/java/runtime/src/main/java/io/ray/runtime/task/LocalModeTaskSubmitter.java b/java/runtime/src/main/java/io/ray/runtime/task/LocalModeTaskSubmitter.java index 0dbeeaa757e3..6390e4dd2e08 100644 --- a/java/runtime/src/main/java/io/ray/runtime/task/LocalModeTaskSubmitter.java +++ b/java/runtime/src/main/java/io/ray/runtime/task/LocalModeTaskSubmitter.java @@ -276,17 +276,18 @@ public BaseActorHandle createActor( FunctionDescriptor functionDescriptor, List args, ActorCreationOptions options) throws IllegalArgumentException { if (options != null) { - if (options.group != null) { - PlacementGroupImpl group = (PlacementGroupImpl) options.group; + if (options.getGroup() != null) { + PlacementGroupImpl group = (PlacementGroupImpl) options.getGroup(); // bundleIndex == -1 indicates using any available bundle. Preconditions.checkArgument( - options.bundleIndex == -1 - || options.bundleIndex >= 0 && options.bundleIndex < group.getBundles().size(), + options.getBundleIndex() == -1 + || options.getBundleIndex() >= 0 + && options.getBundleIndex() < group.getBundles().size(), String.format( "Bundle index %s is invalid, the correct bundle index should be " + "either in the range of 0 to the number of bundles " + "or -1 which means put the task to any available bundles.", - options.bundleIndex)); + options.getBundleIndex())); } } @@ -294,8 +295,8 @@ public BaseActorHandle createActor( ActorCreationTaskSpec.Builder actorCreationTaskSpecBuilder = ActorCreationTaskSpec.newBuilder() .setActorId(ByteString.copyFrom(actorId.toByteBuffer())) - .setMaxConcurrency(options.maxConcurrency) - .setMaxPendingCalls(options.maxPendingCalls); + .setMaxConcurrency(options.getMaxConcurrency()) + .setMaxPendingCalls(options.getMaxPendingCalls()); appendConcurrencyGroupsBuilder(actorCreationTaskSpecBuilder, options); TaskSpec taskSpec = getTaskSpecBuilder(TaskType.ACTOR_CREATION_TASK, functionDescriptor, args) @@ -306,11 +307,11 @@ public BaseActorHandle createActor( final LocalModeActorHandle actorHandle = new LocalModeActorHandle(actorId, getReturnIds(taskSpec).get(0)); actorHandles.put(actorId, actorHandle.copy()); - if (StringUtils.isNotBlank(options.name)) { + if (StringUtils.isNotBlank(options.getName())) { Preconditions.checkArgument( - !namedActors.containsKey(options.name), - String.format("Actor of name %s exists", options.name)); - namedActors.put(options.name, actorHandle); + !namedActors.containsKey(options.getName()), + String.format("Actor of name %s exists", options.getName())); + namedActors.put(options.getName(), actorHandle); } return actorHandle; } @@ -333,7 +334,7 @@ public List submitActorTask( ActorTaskSpec.newBuilder() .setActorId(ByteString.copyFrom(actor.getId().getBytes())) .build()) - .setConcurrencyGroupName(options.concurrencyGroupName) + .setConcurrencyGroupName(options.getConcurrencyGroupName()) .build(); submitTaskSpec(taskSpec); if (numReturns == 0) { @@ -348,9 +349,9 @@ public PlacementGroup createPlacementGroup(PlacementGroupCreationOptions creatio PlacementGroupImpl placementGroup = new PlacementGroupImpl.Builder() .setId(PlacementGroupId.fromRandom()) - .setName(creationOptions.name) - .setBundles(creationOptions.bundles) - .setStrategy(creationOptions.strategy) + .setName(creationOptions.getName()) + .setBundles(creationOptions.getBundles()) + .setStrategy(creationOptions.getStrategy()) .build(); placementGroups.put(placementGroup.getId(), placementGroup); return placementGroup; @@ -576,22 +577,24 @@ private static void appendConcurrencyGroupsBuilder( ActorCreationTaskSpec.Builder actorCreationTaskSpecBuilder, ActorCreationOptions options) { Preconditions.checkNotNull(actorCreationTaskSpecBuilder); if (options == null - || options.concurrencyGroups == null - || options.concurrencyGroups.isEmpty()) { + || options.getConcurrencyGroups() == null + || options.getConcurrencyGroups().isEmpty()) { return; } - options.concurrencyGroups.forEach( - (concurrencyGroup) -> { - Common.ConcurrencyGroup.Builder concurrencyGroupBuilder = - Common.ConcurrencyGroup.newBuilder(); - ConcurrencyGroupImpl impl = (ConcurrencyGroupImpl) concurrencyGroup; - concurrencyGroupBuilder - .setMaxConcurrency(impl.getMaxConcurrency()) - .setName(impl.getName()); - appendFunctionDescriptors(concurrencyGroupBuilder, impl.getFunctionDescriptors()); - actorCreationTaskSpecBuilder.addConcurrencyGroups(concurrencyGroupBuilder); - }); + options + .getConcurrencyGroups() + .forEach( + (concurrencyGroup) -> { + Common.ConcurrencyGroup.Builder concurrencyGroupBuilder = + Common.ConcurrencyGroup.newBuilder(); + ConcurrencyGroupImpl impl = (ConcurrencyGroupImpl) concurrencyGroup; + concurrencyGroupBuilder + .setMaxConcurrency(impl.getMaxConcurrency()) + .setName(impl.getName()); + appendFunctionDescriptors(concurrencyGroupBuilder, impl.getFunctionDescriptors()); + actorCreationTaskSpecBuilder.addConcurrencyGroups(concurrencyGroupBuilder); + }); } private static void appendFunctionDescriptors( diff --git a/java/runtime/src/main/java/io/ray/runtime/task/NativeTaskSubmitter.java b/java/runtime/src/main/java/io/ray/runtime/task/NativeTaskSubmitter.java index d52b7433cdfa..a723bffe0ae8 100644 --- a/java/runtime/src/main/java/io/ray/runtime/task/NativeTaskSubmitter.java +++ b/java/runtime/src/main/java/io/ray/runtime/task/NativeTaskSubmitter.java @@ -43,23 +43,24 @@ public BaseActorHandle createActor( FunctionDescriptor functionDescriptor, List args, ActorCreationOptions options) throws IllegalArgumentException { if (options != null) { - if (options.group != null) { - PlacementGroupImpl group = (PlacementGroupImpl) options.group; + if (options.getGroup() != null) { + PlacementGroupImpl group = (PlacementGroupImpl) options.getGroup(); // bundleIndex == -1 indicates using any available bundle. Preconditions.checkArgument( - options.bundleIndex == -1 - || options.bundleIndex >= 0 && options.bundleIndex < group.getBundles().size(), + options.getBundleIndex() == -1 + || options.getBundleIndex() >= 0 + && options.getBundleIndex() < group.getBundles().size(), String.format( "Bundle index %s is invalid, the correct bundle index should be " + "either in the range of 0 to the number of bundles " + "or -1 which means put the task to any available bundles.", - options.bundleIndex)); + options.getBundleIndex())); } - if (StringUtils.isNotBlank(options.name)) { - Optional actor = Ray.getActor(options.name); + if (StringUtils.isNotBlank(options.getName())) { + Optional actor = Ray.getActor(options.getName()); Preconditions.checkArgument( - !actor.isPresent(), String.format("Actor of name %s exists", options.name)); + !actor.isPresent(), String.format("Actor of name %s exists", options.getName())); } } byte[] actorId = @@ -99,18 +100,18 @@ public List submitActorTask( @Override public PlacementGroup createPlacementGroup(PlacementGroupCreationOptions creationOptions) { - if (StringUtils.isNotBlank(creationOptions.name)) { - PlacementGroup placementGroup = PlacementGroups.getPlacementGroup(creationOptions.name); + if (StringUtils.isNotBlank(creationOptions.getName())) { + PlacementGroup placementGroup = PlacementGroups.getPlacementGroup(creationOptions.getName()); Preconditions.checkArgument( placementGroup == null, - String.format("Placement group with name %s exists!", creationOptions.name)); + String.format("Placement group with name %s exists!", creationOptions.getName())); } byte[] bytes = nativeCreatePlacementGroup(creationOptions); return new PlacementGroupImpl.Builder() .setId(PlacementGroupId.fromBytes(bytes)) - .setName(creationOptions.name) - .setBundles(creationOptions.bundles) - .setStrategy(creationOptions.strategy) + .setName(creationOptions.getName()) + .setBundles(creationOptions.getBundles()) + .setStrategy(creationOptions.getStrategy()) .build(); } diff --git a/java/test/src/main/java/io/ray/test/BaseTaskOptionsTest.java b/java/test/src/main/java/io/ray/test/BaseTaskOptionsTest.java index 339836f3f479..34cd5201b038 100644 --- a/java/test/src/main/java/io/ray/test/BaseTaskOptionsTest.java +++ b/java/test/src/main/java/io/ray/test/BaseTaskOptionsTest.java @@ -1,5 +1,8 @@ package io.ray.test; +import static org.testng.Assert.assertEquals; +import static org.testng.Assert.assertTrue; + import com.google.common.collect.ImmutableMap; import io.ray.api.options.BaseTaskOptions; import java.util.HashMap; @@ -16,11 +19,54 @@ public MockActorCreationOptions(Map resources) { @Test public void testLegalResources() { - Map resources = + double precision = 0.001; + Map inputResources = ImmutableMap.of("CPU", 0.5, "GPU", 3.0, "memory", 1024.0, "A", 4294967296.0); + Map resources = new MockActorCreationOptions(inputResources).getResources(); + + assertEquals(resources.get("CPU"), 0.5, precision); + assertEquals(resources.get("GPU"), 3.0, precision); + assertEquals(resources.get("memory"), 1024.0, precision); + assertEquals(resources.get("A"), 4294967296.0, precision); + } + + @Test + public void testResourcesFiltering() { + Map inputResources = ImmutableMap.of("CPU", 0.0, "GPU", 0.0); + Map resources = new MockActorCreationOptions(inputResources).getResources(); + + assertTrue(resources.isEmpty()); + } + + @Test + public void testEmptyResourceMap() { + Map resources = new HashMap<>(); + MockActorCreationOptions options = new MockActorCreationOptions(resources); + assertTrue(options.getResources().isEmpty()); + } + + @Test(expectedExceptions = {IllegalArgumentException.class}) + public void testNullResourceMap() { + new MockActorCreationOptions(null); + } + + @Test(expectedExceptions = {IllegalArgumentException.class}) + public void testNullResourceKey() { + Map resources = new HashMap<>(); + resources.put(null, 1.0); new MockActorCreationOptions(resources); } + @Test(expectedExceptions = {UnsupportedOperationException.class}) + public void testResourcesImmutability() { + Map inputResources = new HashMap<>(); + inputResources.put("CPU", 2.0); + + MockActorCreationOptions options = new MockActorCreationOptions(inputResources); + Map resources = options.getResources(); + resources.put("GPU", 1.0); + } + @Test(expectedExceptions = {IllegalArgumentException.class}) public void testIllegalResourcesWithNullValue() { Map resources = new HashMap<>(); From 2be418dde871ce48a3fea44340e47e4b53514a9a Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Fri, 18 Jul 2025 10:11:23 -0700 Subject: [PATCH 0269/1566] [data] Increase test join size (#54716) Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index adcc0eaae038..798bc4c79b9a 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -397,7 +397,7 @@ py_test( py_test( name = "test_join", - size = "medium", + size = "large", srcs = ["tests/test_join.py"], tags = [ "data_non_parallel", From cfd85b0b6c9a2681b055273ddc8275ec308af947 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Fri, 18 Jul 2025 11:39:05 -0700 Subject: [PATCH 0270/1566] [Serve.llm][logging] Set disable_log_requests: True by default (#54732) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../llm/_internal/serve/deployments/llm/vllm/vllm_models.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 6daf653dbd5d..8160056d3213 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -136,6 +136,12 @@ def get_initialization_kwargs(self) -> dict: else: engine_kwargs["distributed_executor_backend"] = "ray" + if "disable_log_requests" not in engine_kwargs: + logger.info( + "Disabling request logging by default. To enable, set to False in engine_kwargs." + ) + engine_kwargs["disable_log_requests"] = True + return engine_kwargs def get_runtime_env_with_local_env_vars(self) -> dict: From 1d56b7c9eb737d15d1ad9754ebb151528183d459 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Sat, 19 Jul 2025 02:44:25 +0800 Subject: [PATCH 0271/1566] [Core] Remove ineffectual TODO comment (#54464) Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/raylet/scheduling/cluster_task_manager.h | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/ray/raylet/scheduling/cluster_task_manager.h b/src/ray/raylet/scheduling/cluster_task_manager.h index 1a1229818ff0..5137d1fb527a 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.h +++ b/src/ray/raylet/scheduling/cluster_task_manager.h @@ -199,8 +199,6 @@ class ClusterTaskManager : public ClusterTaskManagerInterface { ILocalTaskManager &local_task_manager_; - /// TODO(swang): Add index from TaskID -> Work to avoid having to iterate - /// through queues to cancel tasks, etc. /// Queue of lease requests that are waiting for resources to become available. /// Tasks move from scheduled -> dispatch | waiting. absl::flat_hash_map>> From 0e6ec8fbef4bc4edcae15aac362c03c871e1a597 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 18 Jul 2025 12:03:07 -0700 Subject: [PATCH 0272/1566] [ci] mac: check en7 too for ip address (#54711) private network interface seems to be shifted to en7 now.. so try more interfaces.. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- java/test.sh | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/java/test.sh b/java/test.sh index 283ab8b67a49..fc16f01a90c9 100755 --- a/java/test.sh +++ b/java/test.sh @@ -120,12 +120,14 @@ echo "Running connecting existing cluster tests." case "${OSTYPE}" in linux*) ip="$(hostname -I | awk '{print $1}')";; darwin*) - ip="$(ipconfig getifaddr en0 || true)" # On newer macos ec2 instances, en0 is IPv6 only. - # en6 is the private network and has an IPv4 address. - if [[ -z "$ip" ]]; then - ip="$(ipconfig getifaddr en6 || true)" - fi + # en6 (or sometimes en7) is the private network and has an IPv4 address. + for interface in en0 en6 en7; do + ip="$(ipconfig getifaddr "$interface" || true)" + if [[ "$ip" != "" ]]; then + break + fi + done if [[ -z "$ip" ]]; then echo "Can't get IP address; ifconfig output:" From 48fe12c575a8e13932d55fa6dc1984a04ed95c4c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 18 Jul 2025 12:06:41 -0700 Subject: [PATCH 0273/1566] [java] add hermetic pom & proto genrule for zips (#54724) so that local genrules are now just simple zip file extrations getting closer to hermetic rules and cache-able build Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/base.test.Dockerfile | 2 +- java/BUILD.bazel | 104 +++++++++++++++++++++++---------- 2 files changed, 75 insertions(+), 31 deletions(-) diff --git a/ci/docker/base.test.Dockerfile b/ci/docker/base.test.Dockerfile index ff0aea1842b2..126401ce422b 100644 --- a/ci/docker/base.test.Dockerfile +++ b/ci/docker/base.test.Dockerfile @@ -25,7 +25,7 @@ set -euo pipefail apt-get update -qq && apt-get upgrade -qq apt-get install -y -qq \ curl python-is-python3 git build-essential \ - sudo unzip unrar apt-utils dialog tzdata wget rsync \ + sudo zip unzip unrar apt-utils dialog tzdata wget rsync \ language-pack-en tmux cmake gdb vim htop graphviz \ libgtk2.0-dev zlib1g-dev libgl1-mesa-dev \ liblz4-dev libunwind-dev libncurses5 \ diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 9ac5e9ca1484..f61faa211800 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -269,66 +269,108 @@ filegroup( ) genrule( - name = "copy_pom_file", + name = "copy_pom_file_zip", srcs = [ "//java:io_ray_ray_" + module + "_pom" for module in all_modules ], - outs = ["copy_pom_file.out"], + outs = ["copy_pom_files.zip"], cmd = """ - WORK_DIR="$$(pwd)" - cp -f $(location //java:io_ray_ray_api_pom) "$$WORK_DIR/java/api/pom.xml" - cp -f $(location //java:io_ray_ray_runtime_pom) "$$WORK_DIR/java/runtime/pom.xml" - cp -f $(location //java:io_ray_ray_test_pom) "$$WORK_DIR/java/test/pom.xml" - cp -f $(location //java:io_ray_ray_performance_test_pom) "$$WORK_DIR/java/performance_test/pom.xml" - cp -f $(location //java:io_ray_ray_serve_pom) "$$WORK_DIR/java/serve/pom.xml" - - FILES=( - $(location //java:io_ray_ray_api_pom) - $(location //java:io_ray_ray_runtime_pom) - $(location //java:io_ray_ray_test_pom) - $(location //java:io_ray_ray_performance_test_pom) - $(location //java:io_ray_ray_serve_pom) - ) - echo "# copy_pom_file" > $@ - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$${FILES[@]}" > $@ ; else sha1sum "$${FILES[@]}" >> $@ ; fi + tmpdir=$$(mktemp -d) + mkdir -p "$$tmpdir/java/api" "$$tmpdir/java/runtime" "$$tmpdir/java/test" "$$tmpdir/java/performance_test" "$$tmpdir/java/serve" + + cp $(location //java:io_ray_ray_api_pom) "$$tmpdir/java/api/pom.xml" + chmod 644 "$$tmpdir/java/api/pom.xml" + + cp $(location //java:io_ray_ray_runtime_pom) "$$tmpdir/java/runtime/pom.xml" + chmod 644 "$$tmpdir/java/runtime/pom.xml" + + cp $(location //java:io_ray_ray_test_pom) "$$tmpdir/java/test/pom.xml" + chmod 644 "$$tmpdir/java/test/pom.xml" + + cp $(location //java:io_ray_ray_performance_test_pom) "$$tmpdir/java/performance_test/pom.xml" + chmod 644 "$$tmpdir/java/performance_test/pom.xml" + + cp $(location //java:io_ray_ray_serve_pom) "$$tmpdir/java/serve/pom.xml" + chmod 644 "$$tmpdir/java/serve/pom.xml" + + (cd "$$tmpdir"; zip -0 -q -r out.zip "java") + mv "$$tmpdir/out.zip" $@ + + rm -rf "$$tmpdir" + """, + visibility = ["//visibility:private"], +) + +genrule( + name = "copy_pom_file", + srcs = [ + ":copy_pom_file_zip", + ], + outs = ["copy_pom_file.sum"], + cmd = """ + unzip -q -o $(location :copy_pom_file_zip) -d "$$(pwd)" + if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi """, local = 1, tags = ["no-cache"], + visibility = ["//visibility:private"], ) # Generates the dependencies needed by maven. genrule( - name = "cp_java_generated", + name = "cp_java_generated_zip", srcs = [ ":all_java_proto", - ":copy_pom_file", ":serve_java_proto", ], + outs = ["cp_java_generated.zip"], + cmd = """ + tmpdir=$$(mktemp -d) + + mkdir -p "$$tmpdir/java/runtime/src/main/java/io/ray/runtime/generated" + for f in $(locations :all_java_proto); do + unzip -q "$$f" -x META-INF/MANIFEST.MF -d "$$tmpdir/java/runtime/src/main/java" + done + + mkdir -p "$$tmpdir/java/serve/src/main/java/io/ray/serve/generated" + for f in $(locations :serve_java_proto); do + unzip -q "$$f" -x META-INF/MANIFEST.MF -d "$$tmpdir/java/serve/src/main/java" + done + + (cd "$$tmpdir"; zip -0 -q -r out.zip "java") + mv "$$tmpdir/out.zip" $@ + + rm -rf "$$tmpdir" + """, + visibility = ["//visibility:private"], +) + +genrule( + name = "cp_java_generated", + srcs = [ + ":cp_java_generated_zip", + ], outs = ["cp_java_generated.out"], cmd = """ WORK_DIR="$$(pwd)" - # Copy protobuf-generated files. + rm -rf "$$WORK_DIR/java/runtime/src/main/java/io/ray/runtime/generated" - echo "# cp_java_generated" > $@ - for f in $(locations //java:all_java_proto); do - unzip "$$f" -x META-INF/MANIFEST.MF -d "$$WORK_DIR/java/runtime/src/main/java" - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$$f" >> $@ ; else sha1sum "$$f" >> $@ ; fi - done rm -rf "$$WORK_DIR/java/serve/src/main/java/io/ray/serve/generated" - for f in $(locations //java:serve_java_proto); do - unzip "$$f" -x META-INF/MANIFEST.MF -d "$$WORK_DIR/java/serve/src/main/java" - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$$f" >> $@ ; else sha1sum "$$f" >> $@ ; fi - done + + unzip -q -o $(location :cp_java_generated_zip) -d "$$WORK_DIR" + if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi """, local = 1, tags = ["no-cache"], + visibility = ["//visibility:private"], ) # Generates the dependencies needed by maven. genrule( name = "gen_maven_deps", srcs = [ + ":copy_pom_file", ":cp_java_generated", ":java_native_deps", ], @@ -354,6 +396,7 @@ genrule( """, local = 1, tags = ["no-cache"], + visibility = ["//visibility:private"], ) java_binary( @@ -398,4 +441,5 @@ genrule( """, local = 1, tags = ["no-cache"], + visibility = ["//visibility:private"], ) From 84487c606dcd18b02552d5bbb652a323cb14b331 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 18 Jul 2025 12:21:41 -0700 Subject: [PATCH 0274/1566] [core] Deprecate internal.free (#54727) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_private/internal_api.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/python/ray/_private/internal_api.py b/python/ray/_private/internal_api.py index f4efbde4db21..4e4627a1400a 100644 --- a/python/ray/_private/internal_api.py +++ b/python/ray/_private/internal_api.py @@ -1,3 +1,4 @@ +import warnings from typing import List, Tuple import ray @@ -178,7 +179,12 @@ def store_stats_summary(reply): def free(object_refs: list, local_only: bool = False): - """Free a list of IDs from the in-process and plasma object stores. + """ + DeprecationWarning: `free` is a deprecated API and will be + removed in a future version of Ray. If you have a use case + for this API, please open an issue on GitHub. + + Free a list of IDs from the in-process and plasma object stores. This function is a low-level API which should be used in restricted scenarios. @@ -209,6 +215,11 @@ def f(): local_only: Whether only deleting the list of objects in local object store or all object stores. """ + warnings.warn( + "`free` is a deprecated API and will be removed in a future version of Ray. " + "If you have a use case for this API, please open an issue on GitHub.", + DeprecationWarning, + ) worker = ray._private.worker.global_worker if isinstance(object_refs, ray.ObjectRef): From 48d1891df1e39a49ce86edeaf9fcbea559494cb7 Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Fri, 18 Jul 2025 12:40:04 -0700 Subject: [PATCH 0275/1566] [doc] fix Dockerfile and typo (#54731) Signed-off-by: Douglas Strodtman --- .../config/vocabularies/General/accept.txt | 58 +++++++++---------- ...gateway_with_existing_ray_serve_apps.ipynb | 6 +- .../examples/mcp-ray-serve/Dockerfile | 2 +- 3 files changed, 33 insertions(+), 33 deletions(-) diff --git a/.vale/styles/config/vocabularies/General/accept.txt b/.vale/styles/config/vocabularies/General/accept.txt index b962f7d5d840..926e801495ff 100644 --- a/.vale/styles/config/vocabularies/General/accept.txt +++ b/.vale/styles/config/vocabularies/General/accept.txt @@ -1,9 +1,12 @@ # Use 'API' judiciously: https://developers.google.com/style/word-list#api. [Aa]pplication +[Aa]sync [Cc]odec [Cc]omposable -[Dd]eduplication [Dd]eduplicate(s)? +[Dd]eduplication +[Dd]etokenization +[Dd]etokenizer?s? [Dd]ict(s)? [Ee]xoshuffle [Gg]rafana @@ -13,7 +16,12 @@ [Pp]arallelization [Pp]erformant [Pp]rofiler +[Rr]esample +[Rr]esampling +[Ss]pectogram(s)? [Ss]ubclassing +[Tt][Ll][Ss] +[Vv]ision LMs admin Alibaba Alpaca @@ -22,40 +30,39 @@ API(s)? ARM async autoscales +bool breakpoint BTS chatbot CLI -CPU(s)? -[Aa]sync -g[Rr][Pp][Cc] -http -kubectl -[Tt][Ll][Ss] -subprocess -UUID -bool -deserializes -PACK configs -disable +CPU(s)? +CRD(s)? DeepSpeed deserialization +deserialization deserialize +deserializes dev dev to prod +disable +DLinear DPO EKS +ETDataset eval Flink +g[Rr][Pp][Cc] GGUF GKE GPTQ GPU(s)? hostfile +http HTTP KServe KTO +kubectl Kubernetes Kueue LMs @@ -68,11 +75,13 @@ namespace NER Nsight NumPy +NVIDIA OOM open-source +PACK pipelining Podman -NVIDIA +preemptible pretraining productionize Pythonic @@ -87,23 +96,14 @@ SFT ShareGPT streamable Softmax +streamable +subprocess teardown -deserialization -verl -VPC(s)? -preemptible -CRD(s)? -VM(s)? uncaptured URI(s)? +UUID uv -[Vv]ision LMs -[Rr]esample -[Rr]esampling -[Ss]pectogram(s)? -[Dd]etokenizer?s? -[Dd]etokenization +verl +VM(s)? +VPC(s)? VS Code -ETDataset -DLinear -Podman diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb index 5b498c88604f..88fdc79aa5d9 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/02 Build_mcp_gateway_with_existing_ray_serve_apps.ipynb @@ -126,7 +126,7 @@ "\n", "@mcp.tool()\n", "async def translate(text: str) -> str:\n", - " \"\"\"Translate English → German.\"\"\"\n", + " \"\"\"Translate English → French.\"\"\"\n", " tr = serve.get_deployment_handle(\"text_translator\", app_name=\"text_translator_app\")\n", " return await tr.translate.remote(text)\n", "\n", @@ -471,7 +471,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "ray-doc-mcp-ray-serve", "language": "python", "name": "python3" }, @@ -485,7 +485,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.11.13" } }, "nbformat": 4, diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile b/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile index 181dd5ea04fb..50702a9d14f4 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile +++ b/doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile @@ -6,4 +6,4 @@ RUN sudo apt-get update && \ sudo apt-get install -y podman && \ sudo rm -rf /var/lib/apt/lists/* -RUN python3 -m pip install --no-cache-dir "mcp==1.11.0" "asyncio==3.4.3 pydantic==2.9.2" +RUN python3 -m pip install --no-cache-dir "mcp==1.11.0" "asyncio==3.4.3" "pydantic==2.9.2" From 8db760aaaeb22dd1c49645884f87c6c14d0f9651 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 18 Jul 2025 13:19:06 -0700 Subject: [PATCH 0276/1566] Add progress bars to hash operators (#53175) Signed-off-by: Douglas Strodtman --- .../interfaces/op_runtime_metrics.py | 6 + .../execution/interfaces/physical_operator.py | 66 +++++++ .../operators/base_physical_operator.py | 13 +- .../execution/operators/hash_aggregate.py | 2 + .../execution/operators/hash_shuffle.py | 182 +++++++++++++++--- .../_internal/execution/operators/join.py | 2 + .../execution/operators/map_operator.py | 25 +-- .../execution/streaming_executor_state.py | 38 ++-- python/ray/data/tests/test_stats.py | 7 +- 9 files changed, 277 insertions(+), 64 deletions(-) diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index b470c717332c..ff896ae99acd 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -230,6 +230,11 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): description="Number of input blocks received by operator.", metrics_group=MetricsGroup.INPUTS, ) + num_row_inputs_received: int = metric_field( + default=0, + description="Number of input rows received by operator.", + metrics_group=MetricsGroup.INPUTS, + ) bytes_inputs_received: int = metric_field( default=0, description="Byte size of input blocks received by operator.", @@ -629,6 +634,7 @@ def average_max_uss_per_task(self) -> Optional[float]: def on_input_received(self, input: RefBundle): """Callback when the operator receives a new input.""" self.num_inputs_received += 1 + self.num_row_inputs_received += input.num_rows() or 0 self.bytes_inputs_received += input.size_bytes() def on_input_queued(self, input: RefBundle): diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index 78340f607d49..92724a3aa58f 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -28,6 +28,7 @@ from ray.data._internal.execution.interfaces.op_runtime_metrics import OpRuntimeMetrics from ray.data._internal.logical.interfaces import LogicalOperator, Operator from ray.data._internal.output_buffer import OutputBlockSizeOption +from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.stats import StatsDict, Timer from ray.data.context import DataContext @@ -701,9 +702,74 @@ def _cancel_active_tasks(self, force: bool): # In all cases, we swallow the exception. pass + def upstream_op_num_outputs(self): + upstream_op_num_outputs = sum( + op.num_outputs_total() or 0 for op in self.input_dependencies + ) + return upstream_op_num_outputs + class ReportsExtraResourceUsage(abc.ABC): @abc.abstractmethod def extra_resource_usage(self: PhysicalOperator) -> ExecutionResources: """Returns resources used by this operator beyond standard accounting.""" ... + + +def estimate_total_num_of_blocks( + num_tasks_submitted: int, + upstream_op_num_outputs: int, + metrics: OpRuntimeMetrics, + total_num_tasks: Optional[int] = None, +) -> Tuple[int, int, int]: + """This method is trying to estimate total number of blocks/rows based on + - How many outputs produced by the input deps + - How many blocks/rows produced by tasks of this operator + """ + + if ( + upstream_op_num_outputs > 0 + and metrics.num_inputs_received > 0 + and metrics.num_tasks_finished > 0 + ): + estimated_num_tasks = total_num_tasks + if estimated_num_tasks is None: + estimated_num_tasks = ( + upstream_op_num_outputs + / metrics.num_inputs_received + * num_tasks_submitted + ) + + estimated_num_output_bundles = round( + estimated_num_tasks + * metrics.num_outputs_of_finished_tasks + / metrics.num_tasks_finished + ) + estimated_output_num_rows = round( + estimated_num_tasks + * metrics.rows_task_outputs_generated + / metrics.num_tasks_finished + ) + return ( + estimated_num_tasks, + estimated_num_output_bundles, + estimated_output_num_rows, + ) + + return (0, 0, 0) + + +def _create_sub_pb( + name: str, total_output_rows: Optional[int], position: int +) -> Tuple[ProgressBar, int]: + progress_bar = ProgressBar( + name, + total_output_rows or 1, + unit="row", + position=position, + ) + # NOTE: call `set_description` to trigger the initial print of progress + # bar on console. + progress_bar.set_description(f" *- {name}") + position += 1 + return progress_bar, position diff --git a/python/ray/data/_internal/execution/operators/base_physical_operator.py b/python/ray/data/_internal/execution/operators/base_physical_operator.py index 12820f17dc41..df934ae323f6 100644 --- a/python/ray/data/_internal/execution/operators/base_physical_operator.py +++ b/python/ray/data/_internal/execution/operators/base_physical_operator.py @@ -7,8 +7,8 @@ RefBundle, TaskContext, ) +from ray.data._internal.execution.interfaces.physical_operator import _create_sub_pb from ray.data._internal.logical.interfaces import LogicalOperator -from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.stats import StatsDict from ray.data.context import DataContext @@ -152,17 +152,10 @@ def initialize_sub_progress_bars(self, position: int) -> int: if self._sub_progress_bar_names is not None: self._sub_progress_bar_dict = {} for name in self._sub_progress_bar_names: - bar = ProgressBar( - name, - self.num_output_rows_total() or 1, - unit="row", - position=position, + bar, position = _create_sub_pb( + name, self.num_output_rows_total(), position ) - # NOTE: call `set_description` to trigger the initial print of progress - # bar on console. - bar.set_description(f" *- {name}") self._sub_progress_bar_dict[name] = bar - position += 1 return len(self._sub_progress_bar_dict) else: return 0 diff --git a/python/ray/data/_internal/execution/operators/hash_aggregate.py b/python/ray/data/_internal/execution/operators/hash_aggregate.py index 8bf09dbb4e49..c26f3e865214 100644 --- a/python/ray/data/_internal/execution/operators/hash_aggregate.py +++ b/python/ray/data/_internal/execution/operators/hash_aggregate.py @@ -143,6 +143,8 @@ def __init__( key_columns, aggregation_fns ), aggregator_ray_remote_args_override=aggregator_ray_remote_args_override, + shuffle_progress_bar_name="Shuffle", + finalize_progress_bar_name="Aggregation", ) def _get_default_num_cpus_per_partition(self) -> int: diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index fbc293d14872..750b743647ac 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -32,17 +32,24 @@ _create_empty_table, hash_partition, ) -from ray.data._internal.execution.interfaces import PhysicalOperator, RefBundle +from ray.data._internal.execution.interfaces import ( + PhysicalOperator, + RefBundle, +) from ray.data._internal.execution.interfaces.physical_operator import ( DataOpTask, MetadataOpTask, OpTask, + _create_sub_pb, + estimate_total_num_of_blocks, ) +from ray.data._internal.stats import OpRuntimeMetrics from ray.data._internal.table_block import TableBlockAccessor from ray.data._internal.util import GiB, MiB from ray.data.block import ( Block, BlockAccessor, + BlockExecStats, BlockMetadata, BlockMetadataWithSchema, BlockStats, @@ -198,7 +205,7 @@ def _shuffle_block( - Map of partition ids to partition shard stats produced from the shuffled block """ - + stats = BlockExecStats.builder() assert (len(key_columns) > 0) ^ (override_partition_id is not None), ( f"Either list of key columns to hash-partition by (got {key_columns} or " f"target partition id override (got {override_partition_id}) must be provided!" @@ -214,7 +221,8 @@ def _shuffle_block( ) if block.num_rows == 0: - return BlockAccessor.for_block(block).get_metadata(), {} + empty = BlockAccessor.for_block(block).get_metadata(exec_stats=stats.build()) + return (empty, {}) num_partitions = pool.num_partitions @@ -285,7 +293,9 @@ def _shuffle_block( pending_submissions = unready i += 1 - original_block_metadata = BlockAccessor.for_block(block).get_metadata() + original_block_metadata = BlockAccessor.for_block(block).get_metadata( + exec_stats=stats.build() + ) if logger.isEnabledFor(logging.DEBUG): num_rows_series, byte_sizes_series = zip( @@ -336,7 +346,48 @@ def combine(one: "_PartitionStats", other: "_PartitionStats") -> "_PartitionStat ) -class HashShufflingOperatorBase(PhysicalOperator): +class HashShuffleProgressBarMixin(abc.ABC): + @property + @abc.abstractmethod + def shuffle_name(self) -> str: + ... + + @property + @abc.abstractmethod + def reduce_name(self) -> str: + ... + + def initialize_sub_progress_bars(self, position: int) -> int: + """Display all sub progres bars in the termainl, and return the number of bars.""" + + # shuffle + progress_bars_created = 0 + self.shuffle_bar = None + if self.shuffle_name is not None: + self.shuffle_bar, position = _create_sub_pb( + self.shuffle_name, self.num_output_rows_total(), position + ) + progress_bars_created += 1 + self.shuffle_metrics = OpRuntimeMetrics(self) + + # reduce + self.reduce_bar = None + if self.reduce_name is not None: + self.reduce_bar, position = _create_sub_pb( + self.reduce_name, self.num_output_rows_total(), position + ) + progress_bars_created += 1 + self.reduce_metrics = OpRuntimeMetrics(self) + + return progress_bars_created + + def close_sub_progress_bars(self): + """Close all internal sub progress bars.""" + self.shuffle_bar.close() + self.reduce_bar.close() + + +class HashShufflingOperatorBase(PhysicalOperator, HashShuffleProgressBarMixin): """Physical operator base-class for any operators requiring hash-based shuffling. @@ -368,6 +419,8 @@ def __init__( partition_size_hint: Optional[int] = None, input_block_transformer: Optional[BlockTransformer] = None, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, + shuffle_progress_bar_name: Optional[str] = None, + finalize_progress_bar_name: Optional[str] = None, ): super().__init__( name=name, @@ -376,6 +429,14 @@ def __init__( target_max_block_size=None, ) + if shuffle_progress_bar_name is None: + shuffle_progress_bar_name = "Shuffle" + if finalize_progress_bar_name is None: + finalize_progress_bar_name = "Reduce" + + self._shuffle_name = shuffle_progress_bar_name + self._reduce_name = finalize_progress_bar_name + assert len(key_columns) == len(input_ops), ( "Each input operation has to specify matching tuple of columns used as " "its hashing keys" @@ -453,14 +514,19 @@ def start(self, options: ExecutionOptions) -> None: self._aggregator_pool.start() + @property + def shuffle_name(self) -> str: + return self._shuffle_name + + @property + def reduce_name(self) -> str: + return self._reduce_name + def _add_input_inner(self, input_bundle: RefBundle, input_index: int) -> None: # TODO move to base class - self._metrics.on_input_queued(input_bundle) - try: - self._do_add_input_inner(input_bundle, input_index) - finally: - self._metrics.on_input_dequeued(input_bundle) + self.shuffle_metrics.on_input_received(input_bundle) + self._do_add_input_inner(input_bundle, input_index) def _do_add_input_inner(self, input_bundle: RefBundle, input_index: int): input_blocks_refs: List[ObjectRef[Block]] = input_bundle.block_refs @@ -513,7 +579,7 @@ def _do_add_input_inner(self, input_bundle: RefBundle, input_index: int): if should_broadcast_schemas: self._has_schemas_broadcasted[input_index] = True - def _on_partitioning_done(): + def _on_partitioning_done(cur_shuffle_task_idx: int): task = self._shuffling_tasks[input_index].pop(cur_shuffle_task_idx) # Fetch input block and resulting partition shards block metadata and # handle obtained metadata @@ -529,16 +595,43 @@ def _on_partitioning_done(): input_index, input_block_metadata, partition_shards_stats ) + # Update Shuffle metrics on task output generated + blocks = [(task.get_waitable(), input_block_metadata)] + # NOTE: schema doesn't matter because we are creating a ref bundle + # for metrics recording purposes + out_bundle = RefBundle(blocks, schema=None, owns_blocks=False) + self.shuffle_metrics.on_output_taken(input_bundle) + self.shuffle_metrics.on_task_output_generated( + cur_shuffle_task_idx, out_bundle + ) + self.shuffle_metrics.on_task_finished(cur_shuffle_task_idx, None) + + # Update Shuffle progress bar + self.shuffle_bar.update(i=input_block_metadata.num_rows) + # TODO update metrics self._shuffling_tasks[input_index][cur_shuffle_task_idx] = MetadataOpTask( task_index=cur_shuffle_task_idx, object_ref=input_block_partition_shards_metadata_tuple_ref, - task_done_callback=_on_partitioning_done, + task_done_callback=functools.partial( + _on_partitioning_done, cur_shuffle_task_idx + ), task_resource_bundle=( ExecutionResources.from_resource_dict(shuffle_task_resource_bundle) ), ) + # Update Shuffle Metrics on task submission + self.shuffle_metrics.on_task_submitted( + cur_shuffle_task_idx, + RefBundle( + [(block_ref, block_metadata)], schema=None, owns_blocks=False + ), + ) + + # Update Shuffle progress bar + self.shuffle_bar.update(total=self.shuffle_metrics.num_row_inputs_received) + def has_next(self) -> bool: self._try_finalize() return len(self._output_queue) > 0 @@ -547,7 +640,8 @@ def _get_next_inner(self) -> RefBundle: bundle: RefBundle = self._output_queue.popleft() # TODO move to base class - self._metrics.on_output_dequeued(bundle) + self.reduce_metrics.on_output_dequeued(bundle) + self.reduce_metrics.on_output_taken(bundle) self._output_blocks_stats.extend(to_stats(bundle.metadata)) @@ -596,10 +690,31 @@ def _try_finalize(self): f"partition id is {self._last_finalized_partition_id})" ) - def _on_bundle_ready(bundle: RefBundle): + def _on_bundle_ready(partition_id: int, bundle: RefBundle): # Add finalized block to the output queue self._output_queue.append(bundle) - self._metrics.on_output_queued(bundle) + + # Update Finalize Metrics on task output generated + self.reduce_metrics.on_output_queued(bundle) + self.reduce_metrics.on_task_output_generated( + task_index=partition_id, output=bundle + ) + self.reduce_metrics.on_task_finished( + task_index=partition_id, exception=None + ) + _, num_outputs, num_rows = estimate_total_num_of_blocks( + partition_id + 1, + self.upstream_op_num_outputs(), + self.reduce_metrics, + total_num_tasks=self._num_partitions, + ) + self._estimated_num_output_bundles = num_outputs + self._estimated_output_num_rows = num_rows + + # Update Finalize progress bar + self.reduce_bar.update( + i=bundle.num_rows(), total=self.num_output_rows_total() + ) def _on_aggregation_done(partition_id: int, exc: Optional[Exception]): if partition_id in self._finalizing_tasks: @@ -679,8 +794,7 @@ def _on_aggregation_done(partition_id: int, exc: Optional[Exception]): self._finalizing_tasks[partition_id] = DataOpTask( task_index=partition_id, streaming_gen=block_gen, - output_ready_callback=_on_bundle_ready, - # TODO fix to pass in task_id into the callback + output_ready_callback=functools.partial(_on_bundle_ready, partition_id), task_done_callback=functools.partial( _on_aggregation_done, partition_id ), @@ -689,6 +803,12 @@ def _on_aggregation_done(partition_id: int, exc: Optional[Exception]): ), ) + # Update Finalize Metrics on task submission + # NOTE: This is empty because the input is directly forwarded from the + # output of the shuffling stage, which we don't return. + empty_bundle = RefBundle([], schema=None, owns_blocks=False) + self.reduce_metrics.on_task_submitted(partition_id, empty_bundle) + # Update last finalized partition id self._last_finalized_partition_id = max(target_partition_ids) @@ -701,10 +821,23 @@ def _do_shutdown(self, force: bool = False) -> None: self._shuffling_tasks.clear() self._finalizing_tasks.clear() + def _extra_metrics(self): + shuffle_name = f"{self._name}_shuffle" + finalize_name = f"{self._name}_finalize" + + self.shuffle_metrics.as_dict() + + return { + shuffle_name: self.shuffle_metrics.as_dict(), + finalize_name: self.reduce_metrics.as_dict(), + } + def get_stats(self): + shuffle_name = f"{self._name}_shuffle" + reduce_name = f"{self._name}_finalize" return { - # TODO factor in output blocks metadata - self._name: self._shuffled_blocks_stats, + shuffle_name: self._shuffled_blocks_stats, + reduce_name: self._output_blocks_stats, } def current_processor_usage(self) -> ExecutionResources: @@ -898,6 +1031,7 @@ def __init__( key_columns=key_columns, ) ), + shuffle_progress_bar_name="Shufle", ) def _get_default_num_cpus_per_partition(self) -> int: @@ -1263,12 +1397,12 @@ def finalize( ) -> AsyncGenerator[Union[Block, "BlockMetadataWithSchema"], None]: with self._lock: # Finalize given partition id - result = self._agg.finalize(partition_id) + exec_stats_builder = BlockExecStats.builder() + block = self._agg.finalize(partition_id) + exec_stats = exec_stats_builder.build() # Clear any remaining state (to release resources) self._agg.clear(partition_id) # TODO break down blocks to target size - from ray.data.block import BlockMetadataWithSchema - - yield result - yield BlockMetadataWithSchema.from_block(result) + yield block + yield BlockMetadataWithSchema.from_block(block, stats=exec_stats) diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 9e95961fd166..52e9b763db6b 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -185,6 +185,8 @@ def __init__( ) ), aggregator_ray_remote_args_override=aggregator_ray_remote_args_override, + shuffle_progress_bar_name="Shuffle", + finalize_progress_bar_name="Join", ) def _get_default_num_cpus_per_partition(self) -> int: diff --git a/python/ray/data/_internal/execution/operators/map_operator.py b/python/ray/data/_internal/execution/operators/map_operator.py index 94a63d4b7912..3a9f9bd1bced 100644 --- a/python/ray/data/_internal/execution/operators/map_operator.py +++ b/python/ray/data/_internal/execution/operators/map_operator.py @@ -36,6 +36,7 @@ DataOpTask, MetadataOpTask, OpTask, + estimate_total_num_of_blocks, ) from ray.data._internal.execution.operators.base_physical_operator import ( InternalQueueOperatorMixin, @@ -407,23 +408,13 @@ def _task_done_callback(task_index: int, exception: Optional[Exception]): # Estimate number of tasks and rows from inputs received and tasks # submitted so far - upstream_op_num_outputs = self.input_dependencies[0].num_outputs_total() - if upstream_op_num_outputs: - estimated_num_tasks = ( - upstream_op_num_outputs - / self._metrics.num_inputs_received - * self._next_data_task_idx - ) - self._estimated_num_output_bundles = round( - estimated_num_tasks - * self._metrics.num_outputs_of_finished_tasks - / self._metrics.num_tasks_finished - ) - self._estimated_output_num_rows = round( - estimated_num_tasks - * self._metrics.rows_task_outputs_generated - / self._metrics.num_tasks_finished - ) + ( + _, + self._estimated_num_output_bundles, + self._estimated_output_num_rows, + ) = estimate_total_num_of_blocks( + self._next_data_task_idx, self.upstream_op_num_outputs(), self._metrics + ) self._data_tasks.pop(task_index) # Notify output queue that this task is complete. diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index f658a2ff5eb5..27a495e7e0bf 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -29,6 +29,9 @@ AllToAllOperator, InternalQueueOperatorMixin, ) +from ray.data._internal.execution.operators.hash_shuffle import ( + HashShuffleProgressBarMixin, +) from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.progress_bar import ProgressBar @@ -212,13 +215,16 @@ def initialize_progress_bars(self, index: int, verbose_progress: bool) -> int: For AllToAllOperator, zero or more sub progress bar would be created. Return the number of enabled progress bars created for this operator. """ - is_all_to_all = isinstance(self.op, AllToAllOperator) + contains_sub_progress_bars = isinstance( + self.op, AllToAllOperator + ) or isinstance(self.op, HashShuffleProgressBarMixin) # Only show 1:1 ops when in verbose progress mode. + ctx = DataContext.get_current() progress_bar_enabled = ( ctx.enable_progress_bars and ctx.enable_operator_progress_bars - and (is_all_to_all or verbose_progress) + and (contains_sub_progress_bars or verbose_progress) ) self.progress_bar = ProgressBar( "- " + self.op.name, @@ -228,7 +234,7 @@ def initialize_progress_bars(self, index: int, verbose_progress: bool) -> int: enabled=progress_bar_enabled, ) num_progress_bars = 1 - if is_all_to_all: + if contains_sub_progress_bars: # Initialize must be called for sub progress bars, even the # bars are not enabled via the DataContext. num_progress_bars += self.op.initialize_sub_progress_bars(index + 1) @@ -238,7 +244,11 @@ def close_progress_bars(self): """Close all progress bars for this operator.""" if self.progress_bar: self.progress_bar.close() - if isinstance(self.op, AllToAllOperator): + contains_sub_progress_bars = isinstance( + self.op, AllToAllOperator + ) or isinstance(self.op, HashShuffleProgressBarMixin) + if contains_sub_progress_bars: + # Close all sub progress bars. self.op.close_sub_progress_bars() def total_enqueued_input_bundles(self) -> int: @@ -451,14 +461,18 @@ def process_completed_tasks( max_bytes_to_read_per_op: Dict[OpState, int] = {} for op, state in topology.items(): - max_bytes_to_read = min( - ( - limit - for policy in backpressure_policies - if (limit := policy.max_task_output_bytes_to_read(op)) is not None - ), - default=None, - ) + # Check all backpressure policies for max_task_output_bytes_to_read + # Use the minimum limit from all policies (most restrictive) + max_bytes_to_read = None + for policy in backpressure_policies: + policy_limit = policy.max_task_output_bytes_to_read(op) + if policy_limit is not None: + if max_bytes_to_read is None: + max_bytes_to_read = policy_limit + else: + max_bytes_to_read = min(max_bytes_to_read, policy_limit) + + # If no policy provides a limit, there's no limit op.notify_in_task_output_backpressure(max_bytes_to_read == 0) if max_bytes_to_read is not None: max_bytes_to_read_per_op[state] = max_bytes_to_read diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 69ba4bb6b22b..b24d5d6530c4 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -81,6 +81,7 @@ def gen_expected_metrics( "'average_bytes_outputs_per_task': N", "'average_max_uss_per_task': H", "'num_inputs_received': N", + "'num_row_inputs_received': N", "'bytes_inputs_received': N", "'num_task_inputs_processed': N", "'bytes_task_inputs_processed': N", @@ -125,6 +126,7 @@ def gen_expected_metrics( "'obj_store_mem_internal_inqueue': Z", "'obj_store_mem_internal_outqueue': Z", "'num_inputs_received': N", + "'num_row_inputs_received': N", "'bytes_inputs_received': N", "'row_outputs_taken': N", "'block_outputs_taken': N", @@ -613,6 +615,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " average_bytes_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" + " num_row_inputs_received: N,\n" " bytes_inputs_received: N,\n" " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" @@ -704,7 +707,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): def check_stats(): stats = canonicalize(repr(ds._plan.stats().to_summary())) - assert stats == expected_stats + assert stats == expected_stats, stats return True # TODO(hchen): The reason why `wait_for_condition` is needed here is because @@ -735,6 +738,7 @@ def check_stats(): " average_bytes_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" + " num_row_inputs_received: N,\n" " bytes_inputs_received: N,\n" " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" @@ -812,6 +816,7 @@ def check_stats(): " average_bytes_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" + " num_row_inputs_received: N,\n" " bytes_inputs_received: N,\n" " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" From e70c22dd13d2ca6f66b06a9bffcdd42d3a5e3362 Mon Sep 17 00:00:00 2001 From: kunling-anyscale Date: Fri, 18 Jul 2025 13:47:59 -0700 Subject: [PATCH 0277/1566] [Core] Add B200 accelerator type (#54736) Signed-off-by: Kunling Geng Co-authored-by: Kunling Geng Signed-off-by: Douglas Strodtman --- python/ray/util/accelerators/accelerators.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/util/accelerators/accelerators.py b/python/ray/util/accelerators/accelerators.py index cdce2db7c571..aaa5b8f86f81 100644 --- a/python/ray/util/accelerators/accelerators.py +++ b/python/ray/util/accelerators/accelerators.py @@ -10,6 +10,7 @@ NVIDIA_H100 = "H100" NVIDIA_H200 = "H200" NVIDIA_H20 = "H20" +NVIDIA_B200 = "B200" INTEL_MAX_1550 = "Intel-GPU-Max-1550" INTEL_MAX_1100 = "Intel-GPU-Max-1100" INTEL_GAUDI = "Intel-GAUDI" From 69690dee520a036e91d254871e241b405a09cd38 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Fri, 18 Jul 2025 14:07:07 -0700 Subject: [PATCH 0278/1566] [Serve] Fix windows test deploy apps flakiness (#54530) ## Why are these changes needed? Fix failing `test_deploy_app` on windows. --------- Signed-off-by: doyoung Signed-off-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 4 +-- python/ray/serve/tests/test_api_2.py | 26 +++++++++++++------ .../serve/tests/test_autoscaling_policy.py | 2 +- python/ray/serve/tests/test_deploy_2.py | 2 +- python/ray/serve/tests/test_deploy_app.py | 6 ++--- python/ray/serve/tests/test_failure.py | 2 +- 6 files changed, 26 insertions(+), 16 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index daa8595e5338..b4d4f51d8464 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -717,7 +717,7 @@ def tlog(s: str, level: str = "INFO"): def get_application_urls( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, - use_localhost: bool = False, + use_localhost: bool = True, is_websocket: bool = False, exclude_route_prefix: bool = False, ) -> List[str]: @@ -779,7 +779,7 @@ def get_application_urls( def get_application_url( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, - use_localhost: bool = False, + use_localhost: bool = True, is_websocket: bool = False, exclude_route_prefix: bool = False, ) -> str: diff --git a/python/ray/serve/tests/test_api_2.py b/python/ray/serve/tests/test_api_2.py index 610fabb00797..d74e37477fca 100644 --- a/python/ray/serve/tests/test_api_2.py +++ b/python/ray/serve/tests/test_api_2.py @@ -14,10 +14,14 @@ def f(): serve.run(f.bind()) controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) node_ip = controller_details.node_ip - assert get_application_urls() == [f"http://{node_ip}:8000"] - assert get_application_urls("gRPC") == [f"{node_ip}:9000"] - assert get_application_urls(RequestProtocol.HTTP) == [f"http://{node_ip}:8000"] - assert get_application_urls(RequestProtocol.GRPC) == [f"{node_ip}:9000"] + assert get_application_urls(use_localhost=False) == [f"http://{node_ip}:8000"] + assert get_application_urls("gRPC", use_localhost=False) == [f"{node_ip}:9000"] + assert get_application_urls(RequestProtocol.HTTP, use_localhost=False) == [ + f"http://{node_ip}:8000" + ] + assert get_application_urls(RequestProtocol.GRPC, use_localhost=False) == [ + f"{node_ip}:9000" + ] def test_get_application_urls_with_app_name(serve_instance): @@ -28,8 +32,12 @@ def f(): serve.run(f.bind(), name="app1", route_prefix="/") controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) node_ip = controller_details.node_ip - assert get_application_urls("HTTP", app_name="app1") == [f"http://{node_ip}:8000"] - assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] + assert get_application_urls("HTTP", app_name="app1", use_localhost=False) == [ + f"http://{node_ip}:8000" + ] + assert get_application_urls("gRPC", app_name="app1", use_localhost=False) == [ + f"{node_ip}:9000" + ] def test_get_application_urls_with_route_prefix(serve_instance): @@ -40,10 +48,12 @@ def f(): serve.run(f.bind(), name="app1", route_prefix="/app1") controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) node_ip = controller_details.node_ip - assert get_application_urls("HTTP", app_name="app1") == [ + assert get_application_urls("HTTP", app_name="app1", use_localhost=False) == [ f"http://{node_ip}:8000/app1" ] - assert get_application_urls("gRPC", app_name="app1") == [f"{node_ip}:9000"] + assert get_application_urls("gRPC", app_name="app1", use_localhost=False) == [ + f"{node_ip}:9000" + ] if __name__ == "__main__": diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 84330d7245c2..47078b34b723 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -557,7 +557,7 @@ def check_running(): result = handle.remote().result() cold_start_time = time.time() - start if sys.platform == "win32": - timeout = 5 # Windows has a longer tail. + timeout = 10 # Windows has a longer tail. else: timeout = 3 assert cold_start_time < timeout diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index 8a1b701b835f..8f86dfd39dfe 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -113,7 +113,7 @@ async def __call__(self): serve.run(A.bind()) - url = get_application_url("HTTP") + "/A" + url = get_application_url("HTTP") with ThreadPoolExecutor() as pool: # Send the first request, it should block for the result first_blocking_fut = pool.submit(functools.partial(httpx.get, url, timeout=100)) diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 3e4a8afeb00f..534de2e067bf 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -417,10 +417,10 @@ def check_dead(): # Deployments from app1 and app2 should be deleted wait_for_condition(check_dead) - # App1 and App2 should be gone - url1 = get_application_url("HTTP", app_name="app1") + # App1 and App2 should be gone. We check with proxy url as the app is not running. + url1 = "http://localhost:8000/app1" assert httpx.get(f"{url1}").status_code != 200 - url2 = get_application_url("HTTP", app_name="app2") + url2 = "http://localhost:8000/app2" assert httpx.post(f"{url2}", json=["ADD", 2]).status_code != 200 # App3 should be up and running diff --git a/python/ray/serve/tests/test_failure.py b/python/ray/serve/tests/test_failure.py index 16470f585de2..2df70aef6a1f 100644 --- a/python/ray/serve/tests/test_failure.py +++ b/python/ray/serve/tests/test_failure.py @@ -27,7 +27,7 @@ def request_with_retries(endpoint, timeout=30, app_name=SERVE_DEFAULT_APP_NAME): while True: try: return httpx.get( - get_application_url("HTTP", app_name, use_localhost=True) + endpoint, + get_application_url("HTTP", app_name=app_name) + endpoint, timeout=timeout, ) except (httpx.RequestError, IndexError): From 8db36bb6ff58bfa9655de003070ffb03d58967eb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 18 Jul 2025 14:35:35 -0700 Subject: [PATCH 0279/1566] [cpp] remove boost patch (#54733) not used anymore Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../boost-exception-no_warn_typeid_evaluated.patch | 10 ---------- 1 file changed, 10 deletions(-) delete mode 100644 thirdparty/patches/boost-exception-no_warn_typeid_evaluated.patch diff --git a/thirdparty/patches/boost-exception-no_warn_typeid_evaluated.patch b/thirdparty/patches/boost-exception-no_warn_typeid_evaluated.patch deleted file mode 100644 index ccd71791a4e7..000000000000 --- a/thirdparty/patches/boost-exception-no_warn_typeid_evaluated.patch +++ /dev/null @@ -1,10 +0,0 @@ -diff --git boost/exception/info.hpp boost/exception/info.hpp ---- boost/exception/info.hpp -+++ boost/exception/info.hpp -@@ -84,3 +84,4 @@ boost - #ifndef BOOST_NO_RTTI -- BOOST_ASSERT( *BOOST_EXCEPTION_DYNAMIC_TYPEID(*p).type_==*ti.type_ ); -+ error_info_base &target = *p; (void)target; // Avoid -Wpotentially-evaluated-expression -+ BOOST_ASSERT( *BOOST_EXCEPTION_DYNAMIC_TYPEID(target).type_==*ti.type_ ); - #endif --- From d4d8690496eb6a5df612fcc146e999538f33cd21 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E0=A8=97=E0=A8=97=E0=A8=A8=E0=A8=A6=E0=A9=80=E0=A8=AA=20?= =?UTF-8?q?=E0=A8=B8=E0=A8=BF=E0=A9=B0=E0=A8=98=20=28Gagandeep=20Singh=29?= Date: Sat, 19 Jul 2025 03:08:38 +0530 Subject: [PATCH 0280/1566] Run Docker builds as non-root user with scoped root access via `sudo` (#54285) so that the wheel files are generated and built as a non-root user. this makes it more user-friendly when building the wheels locally on a linux dev machihne. --------- Signed-off-by: Gagandeep Singh Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-forge.sh | 11 ++++++----- ci/build/build-manylinux-wheel.sh | 2 ++ ci/docker/manylinux.Dockerfile | 2 ++ python/README-building-wheels.md | 3 +++ python/build-wheel-manylinux2014.sh | 27 ++++++++++++++++++++++----- 5 files changed, 35 insertions(+), 10 deletions(-) diff --git a/ci/build/build-manylinux-forge.sh b/ci/build/build-manylinux-forge.sh index a9856a8d3752..91c1b83e0c1b 100755 --- a/ci/build/build-manylinux-forge.sh +++ b/ci/build/build-manylinux-forge.sh @@ -9,15 +9,15 @@ if [[ ! -e /usr/bin/nproc ]]; then fi # Install ray cpp dependencies. -yum -y install unzip zip sudo openssl xz +sudo yum -y install unzip zip sudo openssl xz if [[ "${HOSTTYPE-}" == "x86_64" ]]; then - yum -y install libasan-4.8.5-44.el7.x86_64 libubsan-7.3.1-5.10.el7.x86_64 \ + sudo yum -y install libasan-4.8.5-44.el7.x86_64 libubsan-7.3.1-5.10.el7.x86_64 \ devtoolset-8-libasan-devel.x86_64 fi # Install ray java dependencies. if [[ "${RAY_INSTALL_JAVA}" == "1" ]]; then - yum -y install java-1.8.0-openjdk java-1.8.0-openjdk-devel maven + sudo yum -y install java-1.8.0-openjdk java-1.8.0-openjdk-devel maven java -version JAVA_BIN="$(readlink -f "$(command -v java)")" echo "java_bin path ${JAVA_BIN}" @@ -34,7 +34,8 @@ nvm use "$NODE_VERSION" # Install bazel npm install -g @bazel/bazelisk -ln -sf "$(which bazelisk)" /usr/local/bin/bazel +mkdir -p "$HOME"/bin +ln -sf "$(which bazelisk)" "$HOME"/bin/bazel { echo "build --config=ci" @@ -42,4 +43,4 @@ ln -sf "$(which bazelisk)" /usr/local/bin/bazel if [[ "${BUILDKITE_BAZEL_CACHE_URL:-}" != "" ]]; then echo "build:ci --remote_cache=${BUILDKITE_BAZEL_CACHE_URL:-}" fi -} > ~/.bazelrc +} > "$HOME"/.bazelrc diff --git a/ci/build/build-manylinux-wheel.sh b/ci/build/build-manylinux-wheel.sh index 4dc653d265db..d51913a53865 100755 --- a/ci/build/build-manylinux-wheel.sh +++ b/ci/build/build-manylinux-wheel.sh @@ -20,6 +20,8 @@ fi # When building the wheel, we always set RAY_INSTALL_JAVA=0 because we # have already built the Java code above. +export BAZEL_PATH="$HOME"/bin/bazel + # build ray wheel PATH="/opt/python/${PYTHON}/bin:$PATH" RAY_INSTALL_JAVA=0 \ "/opt/python/${PYTHON}/bin/python" -m pip wheel -q -w dist . --no-deps diff --git a/ci/docker/manylinux.Dockerfile b/ci/docker/manylinux.Dockerfile index 243ea8b2c2bf..d090e53b5e1f 100644 --- a/ci/docker/manylinux.Dockerfile +++ b/ci/docker/manylinux.Dockerfile @@ -9,6 +9,8 @@ ENV BUILD_JAR=1 ENV RAY_INSTALL_JAVA=1 ENV BUILDKITE_BAZEL_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL +RUN yum -y install sudo + COPY ci/build/build-manylinux-forge.sh /tmp/build-manylinux-forge.sh RUN ./tmp/build-manylinux-forge.sh diff --git a/python/README-building-wheels.md b/python/README-building-wheels.md index 3d41aa7ee3a8..3cab370d78d3 100644 --- a/python/README-building-wheels.md +++ b/python/README-building-wheels.md @@ -10,9 +10,12 @@ Inside the root directory (i.e., one level above this python directory), run ``` docker run -ti --rm \ + -e HOST_UID=$(id -u) \ + -e HOST_GID=$(id -g) \ -e BUILDKITE_COMMIT="$(git rev-parse HEAD)" \ -e BUILD_ONE_PYTHON_ONLY=py39 \ -w /ray -v "$(pwd)":/ray \ + -e HOME=/tmp \ quay.io/pypa/manylinux2014_x86_64:2024-07-02-9ac04ee \ /ray/python/build-wheel-manylinux2014.sh ``` diff --git a/python/build-wheel-manylinux2014.sh b/python/build-wheel-manylinux2014.sh index 9be2b9795378..9444765cddbc 100755 --- a/python/build-wheel-manylinux2014.sh +++ b/python/build-wheel-manylinux2014.sh @@ -2,6 +2,28 @@ set -exuo pipefail +# Host user UID/GID +HOST_UID=${HOST_UID:-$(id -u)} +HOST_GID=${HOST_GID:-$(id -g)} + +if [ "$EUID" -eq 0 ]; then + + # Install sudo + yum -y install sudo + + # Create group and user + groupadd -g "$HOST_GID" builduser + useradd -m -u "$HOST_UID" -g "$HOST_GID" -d /ray builduser + + # Give sudo access + echo "builduser ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers + + exec sudo -E -u builduser HOME="$HOME" bash "$0" "$@" + + exit 0 + +fi + export RAY_INSTALL_JAVA="${RAY_INSTALL_JAVA:-0}" # Python version key, interpreter version code @@ -13,11 +35,6 @@ PYTHON_VERSIONS=( "py313 cp313-cp313" ) -# Add the repo folder to the safe.directory global variable to avoid the failure -# because of security check from git, when executing the following command -# `git clean ...`, while building wheel locally. -git config --global --add safe.directory /ray - # Setup runtime environment ./ci/build/build-manylinux-forge.sh source "$HOME"/.nvm/nvm.sh From 937d6f4b810077773136dd2d85bbf3049450bad8 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 18 Jul 2025 16:02:21 -0700 Subject: [PATCH 0281/1566] [release] Update Dask on Ray version for 2.48.0 (#54742) Signed-off-by: Kevin H. Luu Signed-off-by: Douglas Strodtman --- doc/source/ray-more-libs/dask-on-ray.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/doc/source/ray-more-libs/dask-on-ray.rst b/doc/source/ray-more-libs/dask-on-ray.rst index bbb97a3c8460..851109c56276 100644 --- a/doc/source/ray-more-libs/dask-on-ray.rst +++ b/doc/source/ray-more-libs/dask-on-ray.rst @@ -31,7 +31,10 @@ workload. Using the Dask-on-Ray scheduler, the entire Dask ecosystem can be exec * - Ray Version - Dask Version - * - ``2.40.0`` or above + * - ``2.48.0`` or above + - | ``2023.6.1`` (Python version < 3.12)`` + - | ``2025.5.0`` (Python version >= 3.12)`` + * - ``2.40.0`` to ``2.47.1`` - | ``2022.10.2 (Python version < 3.12)`` | ``2024.6.0 (Python version >= 3.12)`` * - ``2.34.0`` to ``2.39.0`` From ab2d751800df559ddadc3afc6e31fa0f04bbe8f8 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 18 Jul 2025 16:07:02 -0700 Subject: [PATCH 0282/1566] [docker] Update latest Docker dependencies for nightly image (#54740) Created by release automation bot. Update with commit f99d0ea7c4248f8d64eeb8f914d2742c91cd1948 Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- doc/source/ray-overview/installation.rst | 2 +- .../pip_freeze_ray-ml-py39-cpu.txt | 65 ++++++++----------- .../ray-overview/pip_freeze_ray-py39-cpu.txt | 37 +++++------ 3 files changed, 45 insertions(+), 59 deletions(-) diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index a55b9f1a7760..a6131d6ab8b2 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -436,7 +436,7 @@ We publish the dependencies that are installed in our ``ray`` Docker images for .. tab-item:: ray (Python 3.9) :sync: ray (Python 3.9) - Ray version: nightly (`55b8ce9 `_) + Ray version: nightly (`f99d0ea `_) .. literalinclude:: ./pip_freeze_ray-py39-cpu.txt diff --git a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt index b98a3ea97c5d..74d74f03ee00 100644 --- a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt @@ -74,17 +74,16 @@ cryptography==44.0.3 cupy-cuda12x==13.1.0 cycler==0.12.1 Cython==0.29.37 -dask==2022.10.2 +dask==2023.6.1 databricks-sdk==0.52.0 -datasets==2.19.1 +datasets==3.6.0 debugpy==1.8.0 decorator==5.1.1 deepspeed==0.12.3 defusedxml==0.7.1 -Deprecated==1.2.18 dill==0.3.7 distlib==0.3.7 -distributed==2022.10.2 +distributed==2023.6.1 distro @ file:///home/conda/feedstock_root/build_artifacts/distro_1734729835256/work dm-control==1.0.12 dm-env==1.6 @@ -118,13 +117,13 @@ fsspec==2023.5.0 fugue==0.8.7 fugue-sql-antlr==0.2.0 future==1.0.0 -gast==0.4.0 +gast==0.6.0 gcs-oauth2-boto-plugin==3.0 getdaft==0.4.3 gitdb==4.0.11 GitPython==3.1.40 glfw==2.6.3 -google-api-core==1.34.0 +google-api-core==2.24.2 google-api-python-client==2.111.0 google-apitools==0.5.32 google-auth==2.23.4 @@ -193,7 +192,7 @@ keras==2.15.0 kiwisolver==1.4.5 labmaze==1.0.6 lazy_loader==0.4 -libclang==16.0.6 +libclang==18.1.1 libmambapy @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_libmambapy_1750078835/work/libmambapy lightgbm==4.6.0 lightning-utilities==0.11.2 @@ -211,9 +210,8 @@ matplotlib==3.7.4 matplotlib-inline==0.1.6 mdit-py-plugins==0.4.2 mdurl==0.1.2 -MedPy==0.4.0 memray==1.10.0 -menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1731146985033/work +menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1750792275478/work minigrid==2.3.1 mistune==0.8.4 ml-dtypes==0.3.2 @@ -222,10 +220,9 @@ mlagents-envs==0.28.0 mlflow==2.22.0 mlflow-skinny==2.22.0 modin==0.22.2 -monai==1.3.2 monotonic==1.6 -more-itertools==10.1.0 -mosaicml==0.2.4 +more-itertools==10.7.0 +mosaicml==0.3.1 moviepy==0.2.3.1 mpmath==1.3.0 msgpack==1.0.7 @@ -265,18 +262,14 @@ oauthlib==3.2.2 onnx==1.15.0 onnxruntime==1.18.0 open-spiel==1.4 -opencensus==0.11.3 +opencensus==0.11.4 opencensus-context==0.1.3 opencv-python-headless==4.9.0.80 -opentelemetry-api==1.26.0 -opentelemetry-exporter-otlp==1.26.0 -opentelemetry-exporter-otlp-proto-common==1.26.0 -opentelemetry-exporter-otlp-proto-grpc==1.26.0 -opentelemetry-exporter-otlp-proto-http==1.26.0 -opentelemetry-exporter-prometheus==0.47b0 -opentelemetry-proto==1.26.0 -opentelemetry-sdk==1.26.0 -opentelemetry-semantic-conventions==0.47b0 +opentelemetry-api==1.34.1 +opentelemetry-exporter-prometheus==0.55b1 +opentelemetry-proto==1.27.0 +opentelemetry-sdk==1.34.1 +opentelemetry-semantic-conventions==0.55b1 opt-einsum==3.3.0 optuna==4.1.0 ormsgpack==1.7.0 @@ -300,21 +293,20 @@ promise==2.3 prompt-toolkit==3.0.41 propcache==0.3.0 prophet==1.1.5 -proto-plus==1.26.1 -protobuf==3.20.3 +proto-plus==1.22.3 +protobuf==4.25.8 psutil==5.9.6 ptyprocess==0.7.0 pure-eval==0.2.2 py-cpuinfo==9.0.0 py-spy==0.4.0 -pyarrow==14.0.2 -pyarrow-hotfix==0.7 +pyarrow==19.0.1 pyasn1==0.5.1 pyasn1-modules==0.3.0 pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1732588390546/work pycparser==2.21 -pydantic==2.9.2 -pydantic_core==2.23.4 +pydantic==2.10.0 +pydantic_core==2.27.0 pygame==2.5.2 pyglet==1.5.15 Pygments==2.18.0 @@ -333,7 +325,7 @@ pytest==7.4.4 pytest-remotedata==0.3.2 python-box==6.1.0 python-dateutil==2.8.2 -python-dotenv==1.1.0 +python-dotenv==1.1.1 python-json-logger==2.0.7 pytorch-lightning==1.8.6 pytorch-ranger==0.1.1 @@ -342,7 +334,7 @@ pyu2f==0.1.5 PyYAML==6.0.1 pyzmq==26.0.3 qpd==0.4.4 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=f6b636a536bf17527c0ba3c6cb03e13b08ea37911ea2a581939536a7bb662528 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=5a7ca35580e97891618705a7a7efcc556b30cc1d3e6155605d690b18d50c4383 redis==4.4.2 referencing==0.36.2 regex==2024.5.15 @@ -350,7 +342,7 @@ requests==2.32.3 requests-oauthlib==2.0.0 requests-toolbelt==1.0.0 responses==0.13.4 -RestrictedPython==7.1 +RestrictedPython==8.0 retry_decorator==1.1.1 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 @@ -374,7 +366,6 @@ setproctitle==1.3.6 shellingham==1.5.4 Shimmy==2.0.0 shortuuid==1.0.1 -SimpleITK==2.3.1 simplejson==3.19.2 six==1.16.0 smart-open==6.2.0 @@ -401,11 +392,11 @@ tensorflow==2.15.1 tensorflow-datasets==4.9.3 tensorflow-estimator==2.15.0 tensorflow-io-gcs-filesystem==0.31.0 -tensorflow-metadata==1.14.0 +tensorflow-metadata==1.13.1 tensorflow-probability==0.23.0 termcolor==2.4.0 terminado==0.18.1 -textual==3.4.0 +textual==4.0.0 threadpoolctl==3.1.0 tifffile==2024.8.30 timm==0.9.2 @@ -416,7 +407,7 @@ toml==0.10.2 tomli==2.0.1 toolz==0.12.1 torch==2.3.0+cu121 -torch-optimizer==0.3.0 +torch-optimizer==0.1.0 torch_cluster==1.6.3+pt23cu121 torch_geometric==2.5.3 torch_scatter==2.1.2+pt23cu121 @@ -426,7 +417,7 @@ torchmetrics==0.10.3 torchtext==0.18.0+cpu torchvision==0.18.0+cu121 tornado==6.1 -tqdm==4.64.1 +tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1735661334605/work traitlets==5.14.3 transformers==4.36.2 triad==0.9.8 @@ -443,7 +434,7 @@ uritemplate==4.1.1 urllib3==1.26.19 utilsforecast==0.2.0 uvicorn==0.22.0 -uvloop==0.19.0 +uvloop==0.21.0 virtualenv==20.29.1 wandb==0.17.0 watchfiles==0.19.0 diff --git a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt index 327a793abdfc..e2ca596c5740 100644 --- a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt @@ -26,7 +26,6 @@ conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/cond cryptography==44.0.3 cupy-cuda12x==13.1.0 Cython==0.29.37 -Deprecated==1.2.18 distlib==0.3.7 distro @ file:///home/conda/feedstock_root/build_artifacts/distro_1734729835256/work dm-tree==0.1.8 @@ -39,7 +38,7 @@ flatbuffers==23.5.26 frozendict @ file:///home/conda/feedstock_root/build_artifacts/frozendict_1728841359971/work frozenlist==1.4.1 fsspec==2023.5.0 -google-api-core==1.34.0 +google-api-core==2.24.2 google-api-python-client==2.111.0 google-auth==2.23.4 google-auth-httplib2==0.1.1 @@ -67,21 +66,17 @@ markdown-it-py==2.2.0 MarkupSafe==2.1.3 mdurl==0.1.2 memray==1.10.0 -menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1731146985033/work +menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1750792275478/work msgpack==1.0.7 multidict==6.0.5 numpy==1.26.4 -opencensus==0.11.3 +opencensus==0.11.4 opencensus-context==0.1.3 -opentelemetry-api==1.26.0 -opentelemetry-exporter-otlp==1.26.0 -opentelemetry-exporter-otlp-proto-common==1.26.0 -opentelemetry-exporter-otlp-proto-grpc==1.26.0 -opentelemetry-exporter-otlp-proto-http==1.26.0 -opentelemetry-exporter-prometheus==0.47b0 -opentelemetry-proto==1.26.0 -opentelemetry-sdk==1.26.0 -opentelemetry-semantic-conventions==0.47b0 +opentelemetry-api==1.34.1 +opentelemetry-exporter-prometheus==0.55b1 +opentelemetry-proto==1.27.0 +opentelemetry-sdk==1.34.1 +opentelemetry-semantic-conventions==0.55b1 ormsgpack==1.7.0 packaging==23.0 pandas==1.5.3 @@ -89,25 +84,26 @@ platformdirs==3.11.0 pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1733222765875/work prometheus-client==0.19.0 propcache==0.3.0 -protobuf==3.20.3 +proto-plus==1.22.3 +protobuf==4.25.8 psutil==5.9.6 py-spy==0.4.0 -pyarrow==14.0.2 +pyarrow==19.0.1 pyasn1==0.5.1 pyasn1-modules==0.3.0 pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1732588390546/work pycparser==2.21 -pydantic==2.9.2 -pydantic_core==2.23.4 +pydantic==2.10.0 +pydantic_core==2.27.0 Pygments==2.18.0 pyOpenSSL==25.0.0 pyparsing==3.1.1 PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1733217236728/work python-dateutil==2.8.2 -python-dotenv==1.1.0 +python-dotenv==1.1.1 pytz==2022.7.1 PyYAML==6.0.1 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=18780cdf516a826aeac748080d55f05ec7044d49b3ac973fec1820dd2c14bb92 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=6d5b553cf00ee5e32ad8f0e02333a0c4ecafd471fa52f4ee1e71ed00944120ec redis==4.4.2 referencing==0.36.2 requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1733217035951/work @@ -128,11 +124,10 @@ typing_extensions==4.12.2 uritemplate==4.1.1 urllib3==1.26.19 uvicorn==0.22.0 -uvloop==0.19.0 +uvloop==0.21.0 virtualenv==20.29.1 watchfiles==0.19.0 websockets==11.0.3 -wrapt==1.14.1 yarl==1.18.3 zipp==3.19.2 zstandard==0.23.0 From f1ca34926503c3e4c34ae9f448404e13d0c46f79 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 18 Jul 2025 16:15:57 -0700 Subject: [PATCH 0283/1566] [release] Fix dask on ray format (#54743) Signed-off-by: Kevin H. Luu Signed-off-by: Douglas Strodtman --- doc/source/ray-more-libs/dask-on-ray.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/ray-more-libs/dask-on-ray.rst b/doc/source/ray-more-libs/dask-on-ray.rst index 851109c56276..64dc2cdb6a5a 100644 --- a/doc/source/ray-more-libs/dask-on-ray.rst +++ b/doc/source/ray-more-libs/dask-on-ray.rst @@ -32,8 +32,8 @@ workload. Using the Dask-on-Ray scheduler, the entire Dask ecosystem can be exec * - Ray Version - Dask Version * - ``2.48.0`` or above - - | ``2023.6.1`` (Python version < 3.12)`` - - | ``2025.5.0`` (Python version >= 3.12)`` + - | ``2023.6.1 (Python version < 3.12)`` + | ``2025.5.0 (Python version >= 3.12)`` * - ``2.40.0`` to ``2.47.1`` - | ``2022.10.2 (Python version < 3.12)`` | ``2024.6.0 (Python version >= 3.12)`` From dc6c002064db7f5c13d6698c24b6189694ed36ac Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 18 Jul 2025 16:44:52 -0700 Subject: [PATCH 0284/1566] [cpp] add a bazel rule that exports boost headers (#54737) so that they can be used for building the cpp ray package, without using local genrules Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/ray_deps_setup.bzl | 4 +++ cpp/BUILD.bazel | 1 + thirdparty/patches/boost-headers.patch | 42 ++++++++++++++++++++++++++ 3 files changed, 47 insertions(+) create mode 100644 thirdparty/patches/boost-headers.patch diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index e98895248d38..0637dcb6e7e1 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -172,6 +172,10 @@ def ray_deps_setup(): # If you update the Boost version, remember to update the 'boost' rule. url = "https://github.com/nelhage/rules_boost/archive/57c99395e15720e287471d79178d36a85b64d6f6.tar.gz", sha256 = "490d11425393eed068966a4990ead1ff07c658f823fd982fddac67006ccc44ab", + patches = [ + "//thirdparty/patches:boost-headers.patch", + ], + patch_args = ["-p1"], ) http_archive( diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index fba2e4e99947..16243d67e3c8 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -143,6 +143,7 @@ genrule( "libray_api.so", "@msgpack//:msgpack_hdrs", "@nlohmann_json//:nlohmann_json_hdrs", + "@boost//:boost_ray_hdrs", ], outs = ["ray_cpp_pkg.out"], cmd = """ diff --git a/thirdparty/patches/boost-headers.patch b/thirdparty/patches/boost-headers.patch new file mode 100644 index 000000000000..42366e880661 --- /dev/null +++ b/thirdparty/patches/boost-headers.patch @@ -0,0 +1,42 @@ +diff --git BUILD.boost BUILD.boost +--- a/BUILD.boost ++++ b/BUILD.boost +@@ -2736,3 +2736,38 @@ + ":variant2", + ], + ) ++ ++filegroup( ++ name = "boost_ray_hdrs", ++ srcs = glob([ ++ "boost/%s/**/*" % lib ++ for lib in [ ++ "archive", ++ "assert", ++ "bind", ++ "callable_traits", ++ "concept", ++ "config", ++ "container", ++ "container_hash", ++ "core", ++ "detail", ++ "dll", ++ "exception", ++ "filesystem", ++ "functional", ++ "io", ++ "iterator", ++ "lexical_cast", ++ "move", ++ "mpl", ++ "optional", ++ "parameter", ++ "preprocessor", ++ "system", ++ "type_traits", ++ "utility", ++ ] ++ ] + ["boost/*.hpp"]), ++ visibility = ["//visibility:public"], ++) From b56495d88df1354ca49812266bbe418c42828a62 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 19 Jul 2025 00:32:44 -0700 Subject: [PATCH 0285/1566] [cpp] hermetic build rules for all cpp files in the wheel (#54747) this change makes it another step closer to having hermetic, cacheable wheel building. it builds a `//cpp:ray_cpp_pkg_zip` file that is ready to be extracted under the wheel's root directory (`python/`) for wheel building Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- cpp/BUILD.bazel | 123 ++++++++++++++++++++++++++++-------------------- 1 file changed, 71 insertions(+), 52 deletions(-) diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 16243d67e3c8..d3499b6216c5 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -2,6 +2,8 @@ # C/C++ documentation: https://docs.bazel.build/versions/master/be/c-cpp.html load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_test") +load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") +load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_python//python:defs.bzl", "py_test") load("//bazel:python.bzl", "py_test_module_list") load("//bazel:ray.bzl", "COPTS") @@ -120,75 +122,92 @@ filegroup( visibility = ["//visibility:private"], ) -filegroup( +pkg_files( name = "ray_cpp_hdrs", srcs = ["include/ray/api.h"] + glob([ "include/ray/api/*.h", ]), + prefix = "ray/cpp/include/", + strip_prefix = "include", visibility = ["//visibility:private"], ) -filegroup( +pkg_files( name = "example_files", - srcs = glob(["example/**"]), + srcs = glob(["example/*"]), + prefix = "ray/cpp/example/", + renames = { + "example/_WORKSPACE": "WORKSPACE", + "example/_BUILD.bazel": "BUILD.bazel", + "example/_.bazelrc": ".bazelrc", + }, visibility = ["//visibility:private"], ) -genrule( - name = "ray_cpp_pkg", +pkg_files( + name = "msgpack_hdrs_files", + srcs = ["@msgpack//:msgpack_hdrs"], + prefix = "ray/cpp/include/", + strip_prefix = "include", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "nlohmann_json_hdrs_files", + srcs = ["@nlohmann_json//:nlohmann_json_hdrs"], + prefix = "ray/cpp/include/", + strip_prefix = "single_include", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "boost_ray_hdrs_files", + srcs = ["@boost//:boost_ray_hdrs"], + prefix = "ray/cpp/include/boost/", + strip_prefix = "boost", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "default_worker_files", + srcs = ["default_worker"], + attributes = pkg_attributes(mode = "755"), + prefix = "ray/cpp/", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "libray_api_files", + srcs = ["libray_api.so"], + attributes = pkg_attributes(mode = "755"), + prefix = "ray/cpp/lib/", + visibility = ["//visibility:private"], +) + +pkg_zip( + name = "ray_cpp_pkg_zip", srcs = [ - ":ray_cpp_hdrs", + ":boost_ray_hdrs_files", + ":default_worker_files", ":example_files", - "default_worker", - "libray_api.so", - "@msgpack//:msgpack_hdrs", - "@nlohmann_json//:nlohmann_json_hdrs", - "@boost//:boost_ray_hdrs", + ":libray_api_files", + ":msgpack_hdrs_files", + ":nlohmann_json_hdrs_files", + ":ray_cpp_hdrs", ], + out = "ray_cpp_pkg.zip", + visibility = ["//visibility:private"], +) + +genrule( + name = "ray_cpp_pkg", + srcs = ["ray_cpp_pkg.zip"], outs = ["ray_cpp_pkg.out"], cmd = """ WORK_DIR="$$(pwd)" && - PY_CPP_DIR="$$WORK_DIR/python/ray/cpp" && - rm -rf $$PY_CPP_DIR && - BOOST_DIR="$$PY_CPP_DIR/include/boost/" && - mkdir -p "$$BOOST_DIR" && - mkdir -p "$$PY_CPP_DIR/lib/" && - cp -f $(location default_worker) "$$PY_CPP_DIR/" && - cp -f -r $$WORK_DIR/external/msgpack/include/* "$$PY_CPP_DIR/include" && - cp -f -r $$WORK_DIR/external/nlohmann_json/single_include/* "$$PY_CPP_DIR/include" && - cp -f -r "$$WORK_DIR/external/boost/boost/archive" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/assert" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/bind" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/callable_traits" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/concept" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/config" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/container" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/container_hash" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/core" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/detail" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/dll" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/exception" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/filesystem" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/functional" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/io" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/iterator" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/lexical_cast" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/move" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/mpl" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/optional" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/parameter" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/preprocessor" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/system" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/type_traits" "$$BOOST_DIR" && - cp -f -r "$$WORK_DIR/external/boost/boost/utility" "$$BOOST_DIR" && - cp -f -r $$WORK_DIR/external/boost/boost/*.hpp "$$BOOST_DIR" && - cp -f $(locations libray_api.so) "$$PY_CPP_DIR/lib/" && - cp -f -r "$$WORK_DIR/cpp/include/ray" "$$PY_CPP_DIR/include" && - cp -f -r "$$WORK_DIR/cpp/example" "$$PY_CPP_DIR" && - mv "$$PY_CPP_DIR/example/_WORKSPACE" "$$PY_CPP_DIR/example/WORKSPACE" && - mv "$$PY_CPP_DIR/example/_BUILD.bazel" "$$PY_CPP_DIR/example/BUILD.bazel" && - mv "$$PY_CPP_DIR/example/_.bazelrc" "$$PY_CPP_DIR/example/.bazelrc" && - echo "$$WORK_DIR" > $@ + rm -rf "$$WORK_DIR/python/ray/cpp" && + unzip -q $(location ray_cpp_pkg.zip) -d "$$WORK_DIR/python" && + if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi """, local = 1, visibility = ["//visibility:private"], From e832e94f0aa95705e72bf6eea37cf7d9a0588737 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 19 Jul 2025 00:32:57 -0700 Subject: [PATCH 0286/1566] [java] cleanup unused bazel rules (#54750) and apply some styling changes Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/ray.bzl | 30 ------------------------------ java/BUILD.bazel | 10 ++++++---- 2 files changed, 6 insertions(+), 34 deletions(-) diff --git a/bazel/ray.bzl b/bazel/ray.bzl index 38eafeb669b3..12aebedf39cd 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -123,36 +123,6 @@ def copy_to_workspace(name, srcs, dstdir = ""): tags = ["no-cache"], ) -def native_java_binary(module_name, name, native_binary_name): - """Copy native binary file to different path based on operating systems""" - copy_file( - name = name + "_darwin", - src = native_binary_name, - out = module_name + "/src/main/resources/native/darwin/" + name, - ) - - copy_file( - name = name + "_linux", - src = native_binary_name, - out = module_name + "/src/main/resources/native/linux/" + name, - ) - - copy_file( - name = name + "_windows", - src = native_binary_name, - out = module_name + "/src/main/resources/native/windows/" + name, - ) - - native.filegroup( - name = name, - srcs = select({ - "@platforms//os:osx": [name + "_darwin"], - "@platforms//os:windows": [name + "_windows"], - "//conditions:default": [name + "_linux"], - }), - visibility = ["//visibility:public"], - ) - def native_java_library(module_name, name, native_library_name): """Copy native library file to different path based on operating systems""" copy_file( diff --git a/java/BUILD.bazel b/java/BUILD.bazel index f61faa211800..cfdb6beaa83f 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -1,6 +1,4 @@ -load("//bazel:ray.bzl", "define_java_module") -load("//bazel:ray.bzl", "native_java_binary") -load("//bazel:ray.bzl", "native_java_library") +load("//bazel:ray.bzl", "define_java_module", "native_java_library") load("@rules_proto_grpc//java:defs.bzl", "java_proto_compile") load( "@com_github_johnynek_bazel_jar_jar//:jar_jar.bzl", @@ -259,7 +257,11 @@ filegroup( ], ) -native_java_library("runtime", "core_worker_library_java", "//src/ray/core_worker/lib/java:libcore_worker_library_java.so") +native_java_library( + name = "core_worker_library_java", + module_name = "runtime", + native_library_name = "//src/ray/core_worker/lib/java:libcore_worker_library_java.so", +) filegroup( name = "java_native_deps", From b6c2b9286302a2fde20f8640e26a1001bdd05867 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 19 Jul 2025 07:29:55 -0700 Subject: [PATCH 0287/1566] [ci] fix bazel build in manylinux docker (#54753) now it requires a default python for running pkg lib Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-wheel.sh | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ci/build/build-manylinux-wheel.sh b/ci/build/build-manylinux-wheel.sh index d51913a53865..ccd143591d0d 100755 --- a/ci/build/build-manylinux-wheel.sh +++ b/ci/build/build-manylinux-wheel.sh @@ -22,6 +22,10 @@ fi export BAZEL_PATH="$HOME"/bin/bazel +# Pointing a default python3 symlink to the desired python version. +# This is required for building with bazel. +sudo ln -sf "/opt/python/${PYTHON}/bin/python3" /usr/local/bin/python3 + # build ray wheel PATH="/opt/python/${PYTHON}/bin:$PATH" RAY_INSTALL_JAVA=0 \ "/opt/python/${PYTHON}/bin/python" -m pip wheel -q -w dist . --no-deps From ff92f71c1fd9c8e7c73ca99c6594b3b65f08b64d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sun, 20 Jul 2025 00:14:27 -0700 Subject: [PATCH 0288/1566] [java] use `pkg_files` and `pkg_zip` for pom files (#54752) rather than using `genrule` also use `pkg_zip` to capture the jar file for wheel building. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-forge.sh | 3 + java/BUILD.bazel | 128 +++++++++++++++++++++--------- java/build-jar-multiplatform.sh | 5 +- java/test.sh | 2 + 4 files changed, 97 insertions(+), 41 deletions(-) diff --git a/ci/build/build-manylinux-forge.sh b/ci/build/build-manylinux-forge.sh index 91c1b83e0c1b..483aa167ae3e 100755 --- a/ci/build/build-manylinux-forge.sh +++ b/ci/build/build-manylinux-forge.sh @@ -37,6 +37,9 @@ npm install -g @bazel/bazelisk mkdir -p "$HOME"/bin ln -sf "$(which bazelisk)" "$HOME"/bin/bazel +# Use python3.9 as default python3 +ln -sf /usr/local/bin/python3.9 /usr/local/bin/python3 + { echo "build --config=ci" echo "build --announce_rc" diff --git a/java/BUILD.bazel b/java/BUILD.bazel index cfdb6beaa83f..f75f90231dab 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -4,6 +4,8 @@ load( "@com_github_johnynek_bazel_jar_jar//:jar_jar.bzl", "jar_jar", ) +load("@rules_pkg//pkg:mappings.bzl", "pkg_files") +load("@rules_pkg//pkg:zip.bzl", "pkg_zip") exports_files([ "testng.xml", @@ -270,48 +272,76 @@ filegroup( ], ) -genrule( - name = "copy_pom_file_zip", - srcs = [ - "//java:io_ray_ray_" + module + "_pom" - for module in all_modules - ], - outs = ["copy_pom_files.zip"], - cmd = """ - tmpdir=$$(mktemp -d) - mkdir -p "$$tmpdir/java/api" "$$tmpdir/java/runtime" "$$tmpdir/java/test" "$$tmpdir/java/performance_test" "$$tmpdir/java/serve" - - cp $(location //java:io_ray_ray_api_pom) "$$tmpdir/java/api/pom.xml" - chmod 644 "$$tmpdir/java/api/pom.xml" - - cp $(location //java:io_ray_ray_runtime_pom) "$$tmpdir/java/runtime/pom.xml" - chmod 644 "$$tmpdir/java/runtime/pom.xml" +pkg_files( + name = "api_pom_files", + srcs = ["io_ray_ray_api_pom"], + prefix = "java/api/", + visibility = ["//visibility:private"], + renames = { + "io_ray_ray_api_pom.xml": "pom.xml", + }, +) - cp $(location //java:io_ray_ray_test_pom) "$$tmpdir/java/test/pom.xml" - chmod 644 "$$tmpdir/java/test/pom.xml" +pkg_files( + name = "runtime_pom_files", + srcs = ["io_ray_ray_runtime_pom"], + prefix = "java/runtime/", + visibility = ["//visibility:private"], + renames = { + "io_ray_ray_runtime_pom.xml": "pom.xml", + }, +) - cp $(location //java:io_ray_ray_performance_test_pom) "$$tmpdir/java/performance_test/pom.xml" - chmod 644 "$$tmpdir/java/performance_test/pom.xml" +pkg_files( + name = "test_pom_files", + srcs = ["io_ray_ray_test_pom"], + prefix = "java/test/", + visibility = ["//visibility:private"], + renames = { + "io_ray_ray_test_pom.xml": "pom.xml", + }, +) - cp $(location //java:io_ray_ray_serve_pom) "$$tmpdir/java/serve/pom.xml" - chmod 644 "$$tmpdir/java/serve/pom.xml" +pkg_files( + name = "performance_test_pom_files", + srcs = ["io_ray_ray_performance_test_pom"], + prefix = "java/performance_test/", + visibility = ["//visibility:private"], + renames = { + "io_ray_ray_performance_test_pom.xml": "pom.xml", + }, +) - (cd "$$tmpdir"; zip -0 -q -r out.zip "java") - mv "$$tmpdir/out.zip" $@ +pkg_files( + name = "serve_pom_files", + srcs = ["io_ray_ray_serve_pom"], + prefix = "java/serve/", + visibility = ["//visibility:private"], + renames = { + "io_ray_ray_serve_pom.xml": "pom.xml", + }, +) - rm -rf "$$tmpdir" - """, +pkg_zip( + name = "pom_files", + srcs = [ + ":api_pom_files", + ":runtime_pom_files", + ":test_pom_files", + ":performance_test_pom_files", + ":serve_pom_files", + ], visibility = ["//visibility:private"], ) genrule( - name = "copy_pom_file", + name = "copy_pom_files", srcs = [ - ":copy_pom_file_zip", + ":pom_files.zip", ], - outs = ["copy_pom_file.sum"], + outs = ["copy_pom_files.sum"], cmd = """ - unzip -q -o $(location :copy_pom_file_zip) -d "$$(pwd)" + unzip -q -o $(location :pom_files.zip) -d "$$(pwd)" && if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi """, local = 1, @@ -328,6 +358,8 @@ genrule( ], outs = ["cp_java_generated.zip"], cmd = """ + set -euo pipefail + tmpdir=$$(mktemp -d) mkdir -p "$$tmpdir/java/runtime/src/main/java/io/ray/runtime/generated" @@ -372,7 +404,7 @@ genrule( genrule( name = "gen_maven_deps", srcs = [ - ":copy_pom_file", + ":copy_pom_files", ":cp_java_generated", ":java_native_deps", ], @@ -426,20 +458,38 @@ jar_jar( rules = "//java:shade_rule", ) +pkg_files( + name = "ray_java_pkg_files", + srcs = [ + ":ray_dist_shaded.jar", + ], + prefix = "ray/jars/", + renames = { + "ray_dist_shaded.jar": "ray_dist.jar", + }, +) + +pkg_zip( + name = "ray_java_pkg_zip", + out = "ray_java_pkg.zip", + srcs = [ + ":ray_java_pkg_files", + ], + visibility = ["//visibility:private"], +) + genrule( name = "ray_java_pkg", srcs = [ - "//java:ray_dist_shaded.jar", - "//java:gen_maven_deps", + "ray_java_pkg.zip", + ":gen_maven_deps", ], outs = ["ray_java_pkg.out"], cmd = """ - WORK_DIR="$$(pwd)" - rm -rf "$$WORK_DIR/python/ray/jars" && mkdir -p "$$WORK_DIR/python/ray/jars" - cp -f $(location //java:ray_dist_shaded.jar) "$$WORK_DIR/python/ray/jars/ray_dist.jar" - echo "# ray_java_pkg" > $@ - OUTPUT_JAR="$(location //java:ray_dist_shaded.jar)" - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$$OUTPUT_JAR" >> $@ ; else sha1sum "$$OUTPUT_JAR" >> $@ ; fi + WORK_DIR="$$(pwd)" && + rm -rf "$$WORK_DIR/python/ray/jars" && mkdir -p "$$WORK_DIR/python/ray/jars" && + unzip -q $(location ray_java_pkg.zip) -d "$$WORK_DIR/python" && + if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $(SRCS) > $@ ; else sha1sum $(SRCS) > $@ ; fi """, local = 1, tags = ["no-cache"], diff --git a/java/build-jar-multiplatform.sh b/java/build-jar-multiplatform.sh index e66ad091d1e2..75cc2638a4de 100755 --- a/java/build-jar-multiplatform.sh +++ b/java/build-jar-multiplatform.sh @@ -34,10 +34,11 @@ build_jars() { mkdir -p "$JAR_DIR" for p in "${JAVA_DIRS_PATH[@]}"; do cd "$WORKSPACE_DIR/$p" - bazel build cp_java_generated + bazel build ":copy_pom_files" + bazel build ":cp_java_generated" if [[ $bazel_build == "true" ]]; then echo "Starting building java native dependencies for $p" - bazel build gen_maven_deps + bazel build ":gen_maven_deps" echo "Finished building java native dependencies for $p" fi echo "Start building jars for $p" diff --git a/java/test.sh b/java/test.sh index fc16f01a90c9..f4e4df47fcd5 100755 --- a/java/test.sh +++ b/java/test.sh @@ -72,6 +72,8 @@ if [[ ! -d ".git" ]]; then fi echo "Build java maven deps." +bazel build //java:copy_pom_files +bazel build //java:cp_java_generated bazel build //java:gen_maven_deps echo "Build test jar." From 3788a3a016d0a7e926a0f099a8e2861b6993d05c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 21 Jul 2025 09:22:44 -0700 Subject: [PATCH 0289/1566] [ci] buildifier more build files (#54762) clean up the root one and also ones from java and cpp directories. fix missing files in `python_sources`. Signed-off-by: Lonnie Liu Signed-off-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/BUILD.bazel | 2 +- .pre-commit-config.yaml | 6 ++---- BUILD.bazel | 36 ++++++++++++------------------- WORKSPACE | 14 ++++++++++++ bazel/tests/cpp/BUILD.bazel | 2 ++ java/BUILD.bazel | 24 ++++++++++++--------- python/ray/_private/BUILD | 9 ++++++++ python/ray/autoscaler/BUILD | 22 +++++++++++++++++++ python/ray/autoscaler/aws/BUILD | 6 ++++++ python/ray/autoscaler/azure/BUILD | 6 ++++++ python/ray/autoscaler/gcp/BUILD | 6 ++++++ python/ray/autoscaler/local/BUILD | 6 ++++++ 12 files changed, 102 insertions(+), 37 deletions(-) diff --git a/.buildkite/BUILD.bazel b/.buildkite/BUILD.bazel index 451dbd9e2c31..f6b8f0063dd6 100644 --- a/.buildkite/BUILD.bazel +++ b/.buildkite/BUILD.bazel @@ -1,5 +1,5 @@ -load("@rules_python//python:defs.bzl", "py_binary") load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary") py_binary( name = "copy_files", diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d08d6a40d413..abd31dcf2b08 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -84,11 +84,9 @@ repos: rev: 8.0.1 hooks: - id: buildifier - files: ^(src|cpp|python|rllib|ci|release)(/[^/]+)*/BUILD(\.bazel)?$ - exclude: ^(cpp/example/.*)$ + files: ^(src|cpp|python|rllib|ci|release|java)(/[^/]+)*/BUILD(\.bazel)?$|^BUILD.bazel$ - id: buildifier-lint - files: ^(src|cpp|python|rllib|ci|release)(/[^/]+)*/BUILD(\.bazel)?$ - exclude: ^(cpp/example/.*)$ + files: ^(src|cpp|python|rllib|ci|release|java)(/[^/]+)*/BUILD(\.bazel)?$|^BUILD.bazel$ - repo: https://github.com/psf/black rev: 22.10.0 diff --git a/BUILD.bazel b/BUILD.bazel index 2236d689c7d9..dac0dfca6661 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -568,7 +568,7 @@ ray_cc_library( ) ray_cc_library( - name ="local_object_manager_interface", + name = "local_object_manager_interface", hdrs = ["src/ray/raylet/local_object_manager_interface.h"], deps = [ "//src/ray/common:id", @@ -626,8 +626,8 @@ ray_cc_library( ], }), deps = [ - ":local_object_manager_interface", ":local_object_manager", + ":local_object_manager_interface", ":node_manager_fbs", ":node_manager_rpc", ":raylet_agent_manager", @@ -776,10 +776,10 @@ ray_cc_test( srcs = ["src/ray/raylet/test/node_manager_test.cc"], tags = ["team:core"], deps = [ - ":ray_mock", ":local_object_manager_interface", - "//src/ray/util:macros", + ":ray_mock", ":raylet_lib", + "//src/ray/util:macros", "@com_google_googletest//:gtest_main", ], ) @@ -932,12 +932,13 @@ flatbuffer_cc_library( pyx_library( name = "_raylet", srcs = glob([ + "python/ray/includes/*.pxd", + "python/ray/includes/*.pxi", + ]) + [ "python/ray/__init__.py", "python/ray/_raylet.pxd", "python/ray/_raylet.pyx", - "python/ray/includes/*.pxd", - "python/ray/includes/*.pxi", - ]), + ], # Export ray ABI symbols, which can then be used by _streaming.so. # We need to dlopen this lib with RTLD_GLOBAL to use ABI in this # shared lib, see python/ray/__init__.py. @@ -982,26 +983,17 @@ filegroup( name = "python_sources", srcs = glob([ "python/ray/*.py", - "python/ray/autoscaler/*.py", - "python/ray/autoscaler/_private/*.py", - "python/ray/autoscaler/_private/_azure/*.json", - "python/ray/autoscaler/_private/readonly/defaults.yaml", - "python/ray/autoscaler/aws/defaults.yaml", - "python/ray/autoscaler/azure/defaults.yaml", - "python/ray/autoscaler/gcp/defaults.yaml", - "python/ray/autoscaler/local/defaults.yaml", - "python/ray/autoscaler/vsphere/defaults.yaml", "python/ray/cloudpickle/*.py", - "python/ray/core/__init__.py", - "python/ray/core/generated/__init__.py", - "python/ray/core/generated/ray/__init__.py", - "python/ray/core/generated/ray/protocol/__init__.py", "python/ray/dashboard/**/*.py", "python/ray/experimental/*.py", "python/ray/util/*.py", "python/ray/internal/*.py", - "python/ray/workers/default_worker.py", - ]), + ]) + [ + "python/ray/core/__init__.py", + "//python/ray/_private:src_files", + "//python/ray/autoscaler:default_configs", + "//python/ray/autoscaler:src_files", + ], ) alias( diff --git a/WORKSPACE b/WORKSPACE index 8e54bbd551ba..be7a05ef4371 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -10,6 +10,20 @@ http_archive( ], ) +http_archive( + name = "rules_java", + sha256 = "302bcd9592377bf9befc8e41aa97ec02df12813d47af9979e4764f3ffdcc5da8", + urls = [ + "https://github.com/bazelbuild/rules_java/releases/download/7.12.4/rules_java-7.12.4.tar.gz", + ], +) + +load("@rules_java//java:repositories.bzl", "rules_java_dependencies", "rules_java_toolchains") + +rules_java_dependencies() + +rules_java_toolchains() + load("//bazel:ray_deps_setup.bzl", "ray_deps_setup") ray_deps_setup() diff --git a/bazel/tests/cpp/BUILD.bazel b/bazel/tests/cpp/BUILD.bazel index 9235d5eef0a5..6b5a6a950e25 100644 --- a/bazel/tests/cpp/BUILD.bazel +++ b/bazel/tests/cpp/BUILD.bazel @@ -1,3 +1,5 @@ +load("@rules_cc//cc:defs.bzl", "cc_library", "cc_test") + cc_library( name = "example_lib", srcs = ["example.cc"], diff --git a/java/BUILD.bazel b/java/BUILD.bazel index f75f90231dab..8081972d40c7 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -1,11 +1,15 @@ -load("//bazel:ray.bzl", "define_java_module", "native_java_library") -load("@rules_proto_grpc//java:defs.bzl", "java_proto_compile") load( "@com_github_johnynek_bazel_jar_jar//:jar_jar.bzl", "jar_jar", ) +load("@rules_java//java:java_binary.bzl", "java_binary") +load("@rules_java//java:java_import.bzl", "java_import") +load("@rules_java//java:java_library.bzl", "java_library") +load("@rules_java//java:java_test.bzl", "java_test") load("@rules_pkg//pkg:mappings.bzl", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") +load("@rules_proto_grpc//java:defs.bzl", "java_proto_compile") +load("//bazel:ray.bzl", "define_java_module", "native_java_library") exports_files([ "testng.xml", @@ -276,60 +280,60 @@ pkg_files( name = "api_pom_files", srcs = ["io_ray_ray_api_pom"], prefix = "java/api/", - visibility = ["//visibility:private"], renames = { "io_ray_ray_api_pom.xml": "pom.xml", }, + visibility = ["//visibility:private"], ) pkg_files( name = "runtime_pom_files", srcs = ["io_ray_ray_runtime_pom"], prefix = "java/runtime/", - visibility = ["//visibility:private"], renames = { "io_ray_ray_runtime_pom.xml": "pom.xml", }, + visibility = ["//visibility:private"], ) pkg_files( name = "test_pom_files", srcs = ["io_ray_ray_test_pom"], prefix = "java/test/", - visibility = ["//visibility:private"], renames = { "io_ray_ray_test_pom.xml": "pom.xml", }, + visibility = ["//visibility:private"], ) pkg_files( name = "performance_test_pom_files", srcs = ["io_ray_ray_performance_test_pom"], prefix = "java/performance_test/", - visibility = ["//visibility:private"], renames = { "io_ray_ray_performance_test_pom.xml": "pom.xml", }, + visibility = ["//visibility:private"], ) pkg_files( name = "serve_pom_files", srcs = ["io_ray_ray_serve_pom"], prefix = "java/serve/", - visibility = ["//visibility:private"], renames = { "io_ray_ray_serve_pom.xml": "pom.xml", }, + visibility = ["//visibility:private"], ) pkg_zip( name = "pom_files", srcs = [ ":api_pom_files", - ":runtime_pom_files", - ":test_pom_files", ":performance_test_pom_files", + ":runtime_pom_files", ":serve_pom_files", + ":test_pom_files", ], visibility = ["//visibility:private"], ) @@ -471,10 +475,10 @@ pkg_files( pkg_zip( name = "ray_java_pkg_zip", - out = "ray_java_pkg.zip", srcs = [ ":ray_java_pkg_files", ], + out = "ray_java_pkg.zip", visibility = ["//visibility:private"], ) diff --git a/python/ray/_private/BUILD b/python/ray/_private/BUILD index 0ccc70df3178..f3c3fbfee17c 100644 --- a/python/ray/_private/BUILD +++ b/python/ray/_private/BUILD @@ -7,3 +7,12 @@ doctest( ), tags = ["team:core"], ) + +filegroup( + name = "src_files", + srcs = glob( + ["**/*.py"], + exclude = ["**/thirdparty_files/**"], + ), + visibility = ["//:__pkg__"], +) diff --git a/python/ray/autoscaler/BUILD b/python/ray/autoscaler/BUILD index d16a5833afe8..031f0bec8146 100644 --- a/python/ray/autoscaler/BUILD +++ b/python/ray/autoscaler/BUILD @@ -7,3 +7,25 @@ doctest( ), tags = ["team:core"], ) + +filegroup( + name = "default_configs", + srcs = [ + "_private/readonly/defaults.yaml", + "vsphere/defaults.yaml", + "//python/ray/autoscaler/aws:default_config", + "//python/ray/autoscaler/azure:default_config", + "//python/ray/autoscaler/gcp:default_config", + "//python/ray/autoscaler/local:default_config", + ], + visibility = ["//:__pkg__"], +) + +filegroup( + name = "src_files", + srcs = glob([ + "*.py", + "_private/*.py", + ]), + visibility = ["//:__pkg__"], +) diff --git a/python/ray/autoscaler/aws/BUILD b/python/ray/autoscaler/aws/BUILD index f1a060eeee97..43e1a0b126f6 100644 --- a/python/ray/autoscaler/aws/BUILD +++ b/python/ray/autoscaler/aws/BUILD @@ -11,3 +11,9 @@ filegroup( data = glob(["tests/*.yaml"]), visibility = ["//release:__pkg__"], ) + +filegroup( + name = "default_config", + srcs = ["defaults.yaml"], + visibility = ["//visibility:public"], +) diff --git a/python/ray/autoscaler/azure/BUILD b/python/ray/autoscaler/azure/BUILD index 86d1f74625b6..7d4fbc64d5de 100644 --- a/python/ray/autoscaler/azure/BUILD +++ b/python/ray/autoscaler/azure/BUILD @@ -3,3 +3,9 @@ filegroup( data = glob(["example-*.yaml"]), visibility = ["//python/ray/tests:__pkg__"], ) + +filegroup( + name = "default_config", + srcs = ["defaults.yaml"], + visibility = ["//visibility:public"], +) diff --git a/python/ray/autoscaler/gcp/BUILD b/python/ray/autoscaler/gcp/BUILD index d7fff50db624..0856f2cadbc7 100644 --- a/python/ray/autoscaler/gcp/BUILD +++ b/python/ray/autoscaler/gcp/BUILD @@ -9,3 +9,9 @@ filegroup( data = glob(["tests/*.yaml"]), visibility = ["//release:__pkg__"], ) + +filegroup( + name = "default_config", + srcs = ["defaults.yaml"], + visibility = ["//visibility:public"], +) diff --git a/python/ray/autoscaler/local/BUILD b/python/ray/autoscaler/local/BUILD index 86d1f74625b6..7d4fbc64d5de 100644 --- a/python/ray/autoscaler/local/BUILD +++ b/python/ray/autoscaler/local/BUILD @@ -3,3 +3,9 @@ filegroup( data = glob(["example-*.yaml"]), visibility = ["//python/ray/tests:__pkg__"], ) + +filegroup( + name = "default_config", + srcs = ["defaults.yaml"], + visibility = ["//visibility:public"], +) From a29b915de913e0dbfc2e64b05e8564b94fd11760 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 21 Jul 2025 09:30:17 -0700 Subject: [PATCH 0290/1566] [release][ci] First test for kuberay release test trigger path (#54415) - Modify Kuberay release test trigger code to catch exception and store it in `Result` - Modify glue unit test to include Kuberay variant of the release test trigger path --------- Signed-off-by: kevin Signed-off-by: Kevin H. Luu Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/ray_release/glue.py | 89 ++++++++++++++++---------- release/ray_release/tests/test_glue.py | 64 +++++++++++++++--- 2 files changed, 108 insertions(+), 45 deletions(-) diff --git a/release/ray_release/glue.py b/release/ray_release/glue.py index e9b4b6559ba6..53022d7e7acf 100644 --- a/release/ray_release/glue.py +++ b/release/ray_release/glue.py @@ -421,42 +421,61 @@ def run_release_test_kuberay( smoke_test: bool = False, test_definition_root: Optional[str] = None, ) -> Result: - result.stable = test.get("stable", True) - result.smoke_test = smoke_test - cluster_compute = load_test_cluster_compute(test, test_definition_root) - kuberay_compute_config = convert_cluster_compute_to_kuberay_compute_config( - cluster_compute - ) - kuberay_autoscaler_version = cluster_compute.get("autoscaler_version", None) - if kuberay_autoscaler_version: - kuberay_autoscaler_config = {"version": kuberay_autoscaler_version} - else: - kuberay_autoscaler_config = None - working_dir_upload_path = upload_working_dir(get_working_dir(test)) + start_time = time.monotonic() + pipeline_exception = None + try: + result.stable = test.get("stable", True) + result.smoke_test = smoke_test + cluster_compute = load_test_cluster_compute(test, test_definition_root) + kuberay_compute_config = convert_cluster_compute_to_kuberay_compute_config( + cluster_compute + ) + kuberay_autoscaler_version = cluster_compute.get("autoscaler_version", None) + if kuberay_autoscaler_version: + kuberay_autoscaler_config = {"version": kuberay_autoscaler_version} + else: + kuberay_autoscaler_config = None + working_dir_upload_path = upload_working_dir(get_working_dir(test)) + + command_timeout = int(test["run"].get("timeout", DEFAULT_COMMAND_TIMEOUT)) + test_name_hash = hashlib.sha256(test["name"].encode()).hexdigest()[:10] + # random 8 digit suffix + random_suffix = "".join(random.choices(string.digits, k=8)) + base_job_name = f"{test['name'][:20]}-{test_name_hash}-{random_suffix}" + job_name = base_job_name.replace("_", "-") + logger.info(f"Job name: {job_name}") + kuberay_job_manager = KubeRayJobManager() + retcode, duration = kuberay_job_manager.run_and_wait( + job_name=job_name, + image=test.get_anyscale_byod_image(), + cmd_to_run=test["run"]["script"], + env_vars=test.get_byod_runtime_env(), + working_dir=working_dir_upload_path, + pip=test.get_byod_pips(), + compute_config=kuberay_compute_config, + autoscaler_config=kuberay_autoscaler_config, + timeout=command_timeout, + ) + kuberay_job_manager.fetch_results() + result.return_code = retcode + result.runtime = duration + except Exception as e: + logger.info(f"Exception: {e}") + pipeline_exception = e + result.runtime = time.monotonic() - start_time - command_timeout = int(test["run"].get("timeout", DEFAULT_COMMAND_TIMEOUT)) - test_name_hash = hashlib.sha256(test["name"].encode()).hexdigest()[:10] - # random 8 digit suffix - random_suffix = "".join(random.choices(string.digits, k=8)) - job_name = f"{test['name'][:20]}-{test_name_hash}-{random_suffix}".replace("_", "-") - logger.info(f"Job name: {job_name}") - logger.info(f"KubeRay compute config: {kuberay_compute_config}") - logger.info(f"KubeRay autoscaler config: {kuberay_autoscaler_config}") - kuberay_job_manager = KubeRayJobManager() - retcode, duration = kuberay_job_manager.run_and_wait( - job_name=job_name, - image=test.get_anyscale_byod_image(), - cmd_to_run=test["run"]["script"], - env_vars=test.get_byod_runtime_env(), - working_dir=working_dir_upload_path, - pip=test.get_byod_pips(), - compute_config=kuberay_compute_config, - autoscaler_config=kuberay_autoscaler_config, - timeout=command_timeout, - ) - kuberay_job_manager.fetch_results() - result.return_code = retcode - result.runtime = duration + if pipeline_exception: + buildkite_group(":rotating_light: Handling errors") + exit_code, result_status, runtime = handle_exception( + pipeline_exception, + result.runtime, + ) + + result.return_code = exit_code.value + result.status = result_status.value + if runtime is not None: + result.runtime = runtime + raise pipeline_exception return result diff --git a/release/ray_release/tests/test_glue.py b/release/ray_release/tests/test_glue.py index 4daa7d765ca3..07af047f15d8 100644 --- a/release/ray_release/tests/test_glue.py +++ b/release/ray_release/tests/test_glue.py @@ -87,7 +87,9 @@ def setUp(self) -> None: self.sdk.returns["get_cloud"] = APIDict(result=APIDict(provider="AWS")) self.writeClusterEnv("{'env': true}") - self.writeClusterCompute("{'compute': true}") + self.writeClusterCompute( + "{'head_node_type': {'name': 'head_node', 'instance_type': 'm5a.4xlarge'}, 'worker_node_types': []}" + ) with open(os.path.join(self.tempdir, "driver_fail.sh"), "wt") as f: f.write("exit 1\n") @@ -175,6 +177,23 @@ def mock_alerter(test: Test, result: Result): ), alert="unit_test_alerter", ) + self.kuberay_test = MockTest( + name="unit_test_end_to_end_kuberay", + run=dict( + type="unit_test", + prepare="prepare_cmd", + script="test_cmd", + wait_for_nodes=dict(num_nodes=4, timeout=40), + ), + working_dir=self.tempdir, + cluster=dict( + cluster_env="cluster_env.yaml", + cluster_compute="cluster_compute.yaml", + byod={}, + ), + env="kuberay", + alert="unit_test_alerter", + ) self.anyscale_project = "prj_unit12345678" def tearDown(self) -> None: @@ -237,18 +256,27 @@ def _succeed_until(self, until: str): self.mock_alert_return = None - def _run(self, result: Result, **kwargs): - run_release_test( - test=self.test, - anyscale_project=self.anyscale_project, - result=result, - log_streaming_limit=1000, - **kwargs - ) + def _run(self, result: Result, kuberay: bool = False, **kwargs): + if kuberay: + run_release_test( + test=self.kuberay_test, + result=result, + log_streaming_limit=1000, + **kwargs + ) + else: + run_release_test( + test=self.test, + anyscale_project=self.anyscale_project, + result=result, + log_streaming_limit=1000, + **kwargs + ) def testInvalidClusterCompute(self): result = Result() + # Test with regular run with patch( "ray_release.glue.load_test_cluster_compute", _fail_on_call(ReleaseTestConfigError), @@ -256,23 +284,39 @@ def testInvalidClusterCompute(self): self._run(result) self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) + # Test with kuberay run + with patch( + "ray_release.glue.load_test_cluster_compute", + _fail_on_call(ReleaseTestConfigError), + ), self.assertRaises(ReleaseTestConfigError): + self._run(result, True) + self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) + # Fails because file not found os.unlink(os.path.join(self.tempdir, "cluster_compute.yaml")) with self.assertRaisesRegex(ReleaseTestConfigError, "Path not found"): self._run(result) self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) + with self.assertRaisesRegex(ReleaseTestConfigError, "Path not found"): + self._run(result, True) + self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) # Fails because invalid jinja template self.writeClusterCompute("{{ INVALID") with self.assertRaisesRegex(ReleaseTestConfigError, "yaml template"): self._run(result) self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) + with self.assertRaisesRegex(ReleaseTestConfigError, "yaml template"): + self._run(result, True) + self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) # Fails because invalid json self.writeClusterCompute("{'test': true, 'fail}") with self.assertRaisesRegex(ReleaseTestConfigError, "quoted scalar"): self._run(result) - + self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) + with self.assertRaisesRegex(ReleaseTestConfigError, "quoted scalar"): + self._run(result, True) self.assertEqual(result.return_code, ExitCode.CONFIG_ERROR.value) def testStartClusterFails(self): From 36032b50b2be4f44c82f6fa6027a37aa26aea786 Mon Sep 17 00:00:00 2001 From: Ping Date: Tue, 22 Jul 2025 01:23:42 +0800 Subject: [PATCH 0291/1566] [Core] Cover cpplint for ray/src/ray/common/ray_syncer (#54754) Signed-off-by: 400Ping Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- src/ray/common/ray_syncer/node_state.cc | 2 ++ src/ray/common/ray_syncer/node_state.h | 1 + src/ray/common/ray_syncer/ray_syncer.cc | 4 ++++ src/ray/common/ray_syncer/ray_syncer.h | 4 ++++ src/ray/common/ray_syncer/ray_syncer_bidi_reactor.h | 3 ++- src/ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h | 1 + src/ray/common/ray_syncer/ray_syncer_client.cc | 4 ++++ src/ray/common/ray_syncer/ray_syncer_client.h | 3 +++ src/ray/common/ray_syncer/ray_syncer_server.cc | 3 +++ src/ray/common/ray_syncer/ray_syncer_server.h | 2 ++ 11 files changed, 27 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index abd31dcf2b08..5b924789d872 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,7 +73,7 @@ repos: hooks: - id: cpplint args: ["--filter=-whitespace/braces,-whitespace/line_length,-build/c++11,-build/c++14,-build/c++17,-readability/braces,-whitespace/indent_namespace,-runtime/int,-runtime/references,-build/include_order"] - files: ^src/ray/(util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ + files: ^src/ray/(common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ exclude: | (?x)^( src/ray/raylet/scheduling/.*\.(h|cc)$ | diff --git a/src/ray/common/ray_syncer/node_state.cc b/src/ray/common/ray_syncer/node_state.cc index 4db242274582..443c4f35e841 100644 --- a/src/ray/common/ray_syncer/node_state.cc +++ b/src/ray/common/ray_syncer/node_state.cc @@ -14,6 +14,8 @@ #include "ray/common/ray_syncer/node_state.h" +#include + #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" diff --git a/src/ray/common/ray_syncer/node_state.h b/src/ray/common/ray_syncer/node_state.h index 906a1d385ffe..d6708d0f2426 100644 --- a/src/ray/common/ray_syncer/node_state.h +++ b/src/ray/common/ray_syncer/node_state.h @@ -19,6 +19,7 @@ #include #include #include +#include #include "absl/container/flat_hash_map.h" #include "ray/common/ray_syncer/common.h" diff --git a/src/ray/common/ray_syncer/ray_syncer.cc b/src/ray/common/ray_syncer/ray_syncer.cc index 521fdacc427c..479386567a65 100644 --- a/src/ray/common/ray_syncer/ray_syncer.cc +++ b/src/ray/common/ray_syncer/ray_syncer.cc @@ -15,6 +15,10 @@ #include "ray/common/ray_syncer/ray_syncer.h" #include +#include +#include +#include +#include #include "ray/common/asio/asio_util.h" #include "ray/common/ray_config.h" diff --git a/src/ray/common/ray_syncer/ray_syncer.h b/src/ray/common/ray_syncer/ray_syncer.h index 383df4470c8c..e00cdffe3f3c 100644 --- a/src/ray/common/ray_syncer/ray_syncer.h +++ b/src/ray/common/ray_syncer/ray_syncer.h @@ -17,6 +17,10 @@ #include #include +#include +#include +#include + #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "boost/functional/hash.hpp" diff --git a/src/ray/common/ray_syncer/ray_syncer_bidi_reactor.h b/src/ray/common/ray_syncer/ray_syncer_bidi_reactor.h index f907080f97d7..89270254008e 100644 --- a/src/ray/common/ray_syncer/ray_syncer_bidi_reactor.h +++ b/src/ray/common/ray_syncer/ray_syncer_bidi_reactor.h @@ -18,6 +18,7 @@ #include #include +#include #include "ray/common/ray_syncer/common.h" #include "src/ray/protobuf/ray_syncer.grpc.pb.h" @@ -67,7 +68,7 @@ using ray::rpc::syncer::ResourceViewSyncMessage; // clang-format on class RaySyncerBidiReactor { public: - RaySyncerBidiReactor(std::string remote_node_id) + explicit RaySyncerBidiReactor(std::string remote_node_id) : remote_node_id_(std::move(remote_node_id)) {} virtual ~RaySyncerBidiReactor() = default; diff --git a/src/ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h b/src/ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h index f4c6944ca18a..ec5c97f0626a 100644 --- a/src/ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h +++ b/src/ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h @@ -16,6 +16,7 @@ #include #include +#include #include #include "ray/common/asio/instrumented_io_context.h" diff --git a/src/ray/common/ray_syncer/ray_syncer_client.cc b/src/ray/common/ray_syncer/ray_syncer_client.cc index f5f8ee9ccd0c..935879bfa731 100644 --- a/src/ray/common/ray_syncer/ray_syncer_client.cc +++ b/src/ray/common/ray_syncer/ray_syncer_client.cc @@ -14,6 +14,10 @@ #include "ray/common/ray_syncer/ray_syncer_client.h" +#include +#include +#include + namespace ray::syncer { RayClientBidiReactor::RayClientBidiReactor( diff --git a/src/ray/common/ray_syncer/ray_syncer_client.h b/src/ray/common/ray_syncer/ray_syncer_client.h index 658779e1f2da..83c5d29894ca 100644 --- a/src/ray/common/ray_syncer/ray_syncer_client.h +++ b/src/ray/common/ray_syncer/ray_syncer_client.h @@ -14,6 +14,9 @@ #pragma once +#include +#include + #include "ray/common/ray_syncer/ray_syncer_bidi_reactor.h" #include "ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h" diff --git a/src/ray/common/ray_syncer/ray_syncer_server.cc b/src/ray/common/ray_syncer/ray_syncer_server.cc index a2e3f33328fc..2dfc569fc494 100644 --- a/src/ray/common/ray_syncer/ray_syncer_server.cc +++ b/src/ray/common/ray_syncer/ray_syncer_server.cc @@ -14,6 +14,9 @@ #include "ray/common/ray_syncer/ray_syncer_server.h" +#include +#include + namespace ray::syncer { namespace { diff --git a/src/ray/common/ray_syncer/ray_syncer_server.h b/src/ray/common/ray_syncer/ray_syncer_server.h index 1a8f21bcc504..ca548822da73 100644 --- a/src/ray/common/ray_syncer/ray_syncer_server.h +++ b/src/ray/common/ray_syncer/ray_syncer_server.h @@ -16,6 +16,8 @@ #include +#include + #include "ray/common/ray_syncer/common.h" #include "ray/common/ray_syncer/ray_syncer_bidi_reactor.h" #include "ray/common/ray_syncer/ray_syncer_bidi_reactor_base.h" From 6738900e208c8b9b63169163d3a54e39627fd01a Mon Sep 17 00:00:00 2001 From: jectpro7 Date: Tue, 22 Jul 2025 02:11:46 +0800 Subject: [PATCH 0292/1566] [Serve] Supports configurable backoff in replica router (#54723) ## Why are these changes needed? Add three configurations to support backoff configuration in replica_router. ## Related issue number https://github.com/ray-project/ray/issues/52871 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Jie Pu Signed-off-by: jectpro7 Co-authored-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../serve/advanced-guides/performance.md | 10 +++++++ python/ray/serve/_private/constants.py | 13 ++++++++++ .../_private/request_router/request_router.py | 26 ++++++++++++------- .../tests/unit/test_pow_2_request_router.py | 20 ++++++++++---- 4 files changed, 54 insertions(+), 15 deletions(-) diff --git a/doc/source/serve/advanced-guides/performance.md b/doc/source/serve/advanced-guides/performance.md index 569de9554c3b..8720d032a519 100644 --- a/doc/source/serve/advanced-guides/performance.md +++ b/doc/source/serve/advanced-guides/performance.md @@ -65,6 +65,16 @@ to retry requests that time out due to transient failures. Serve returns a response with status code `408` when a request times out. Clients can retry when they receive this `408` response. ::: + +### Set backoff time when choosing replica + +Ray Serve allows you to fine-tune the backoff behavior of the request router, which can help reduce latency when waiting for replicas to become ready. It uses exponential backoff strategy when retrying to route requests to replicas that are temporarily unavailable. You can optimize this behavior for your workload by configuring the following environment variables: + +- `RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S`: The initial backoff time (in seconds) before retrying a request. Default is `0.025`. +- `RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER`: The multiplier applied to the backoff time after each retry. Default is `2`. +- `RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S`: The maximum backoff time (in seconds) between retries. Default is `0.5`. + + ### Give the Serve Controller more time to process requests The Serve Controller runs on the Ray head node and is responsible for a variety of tasks, diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index a627a1a60d52..0877dfd4cd3d 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -342,6 +342,19 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: os.environ.get("RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S", 10.0) ) +# Backoff seconds when choosing router failed, backoff time is calculated as +# initial_backoff_s * backoff_multiplier ** attempt. +# The default backoff time is [0.025, 0.05, 0.1, 0.2, 0.4, 0.5, 0.5 ... ]. +RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S = float( + os.environ.get("RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S", 0.025) +) +RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER = int( + os.environ.get("RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER", 2) +) +RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S = float( + os.environ.get("RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S", 0.5) +) + # The default autoscaling policy to use if none is specified. DEFAULT_AUTOSCALING_POLICY = "ray.serve.autoscaling_policy:default_autoscaling_policy" diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index ebfc2bc6a181..b1046ad15b2f 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -32,6 +32,9 @@ RAY_SERVE_MAX_QUEUE_LENGTH_RESPONSE_DEADLINE_S, RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S, RAY_SERVE_QUEUE_LENGTH_RESPONSE_DEADLINE_S, + RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER, + RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S, + RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S, SERVE_LOGGER_NAME, ) from ray.serve._private.replica_result import ReplicaResult @@ -429,11 +432,10 @@ def _fulfill_next_pending_request( class RequestRouter(ABC): """Abstract interface for a request router (how the router calls it).""" - backoff_sequence_s = [0, 0.05, 0.1, 0.15, 0.2, 0.5, 1.0] - """ - The sequence of backoff timeouts to use when all replicas' queues are full. - The last item in the list is the max timeout and will be used repeatedly. - """ + """Backoff parameters for request router.""" + initial_backoff_s = RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S + backoff_multiplier = RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER + max_backoff_s = RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S # Deadline for replicas to respond with their queue length. If the response isn't # received within this deadline, the replica will not be considered. @@ -892,12 +894,12 @@ async def _choose_replicas_with_backoff( will be considered. If those are occupied, the full set of replicas will be considered on subsequent iterations. After each iteration, there will be an increasing backoff sleep time (dictated - by `self.backoff_sequence_s`). The caller should exit the generator to reset the - backoff sleep time. + by `initial_backoff_s` and `backoff_multiplier`). The caller should exit the + generator to reset the backoff sleep time. """ entered_backoff = False try: - backoff_index = 0 + attempt = 0 while True: # If no replicas are available, wait until `update_replicas` is called. @@ -942,8 +944,12 @@ async def _choose_replicas_with_backoff( self.num_routing_tasks_in_backoff ) - await asyncio.sleep(self.backoff_sequence_s[backoff_index]) - backoff_index = min(backoff_index + 1, len(self.backoff_sequence_s) - 1) + backoff_s = min( + self.initial_backoff_s * self.backoff_multiplier**attempt, + self.max_backoff_s, + ) + await asyncio.sleep(backoff_s) + attempt += 1 finally: if entered_backoff: self.num_routing_tasks_in_backoff -= 1 diff --git a/python/ray/serve/tests/unit/test_pow_2_request_router.py b/python/ray/serve/tests/unit/test_pow_2_request_router.py index 8e0e9f1a5482..cef2801833f8 100644 --- a/python/ray/serve/tests/unit/test_pow_2_request_router.py +++ b/python/ray/serve/tests/unit/test_pow_2_request_router.py @@ -150,9 +150,17 @@ async def construct_request_router(loop: asyncio.AbstractEventLoop): ), get_curr_time_s=TIMER.time, ) - request_router.backoff_sequence_s = request.param.get( - "backoff_sequence_s", - [0, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001], + request_router.initial_backoff_s = request.param.get( + "initial_backoff_s", + 0.001, + ) + request_router.backoff_multiplier = request.param.get( + "backoff_multiplier", + 1, + ) + request_router.max_backoff_s = request.param.get( + "max_backoff_s", + 0.001, ) return request_router @@ -1841,7 +1849,9 @@ async def test_replicas_actor_unavailable_error( "prefer_local_node": True, "prefer_local_az": True, "az": ROUTER_AZ, - "backoff_sequence_s": [999, 999, 999, 999], + "initial_backoff_s": 999, + "backoff_multiplier": 1, + "max_backoff_s": 999, }, ], indirect=True, @@ -1900,7 +1910,7 @@ def fake_sample(seq, k): else: # The request will be served by r3 without added latency. - # Since we set up the `backoff_sequence_s` to be 999s, this 10s timeout will still + # Since we set up the `backoff_s` to be 999s on every attempt, this 10s timeout will still # capture the extra delay if it was added between routing loop. assert len(done) == 1 assert done.pop().result() == r3 From 17c2c82689baa286c905f92dee3361e501f8a7a8 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Mon, 21 Jul 2025 12:55:47 -0700 Subject: [PATCH 0293/1566] [serve] Deflake test_fastapi by waiting on background task to complete (#54794) ## Why are these changes needed? The test checks if a file contains the string hello which is written by a background task. Sometimes, the background task will run after this check, which causes the test to fail. This PR changes it to wait on the condition to be true with a 10second timeout. Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_fastapi.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_fastapi.py b/python/ray/serve/tests/test_fastapi.py index 504c4c1561e3..c9a9a438d202 100644 --- a/python/ray/serve/tests/test_fastapi.py +++ b/python/ray/serve/tests/test_fastapi.py @@ -310,7 +310,10 @@ class Worker: "db", "app.state", ] - assert open(resp.json()["file_path"]).read() == "hello" + wait_for_condition( + lambda: open(resp.json()["file_path"]).read() == "hello", + timeout=10, + ) resp = httpx.request( "GET", From a3c785c052616126d434e08e1e9264dba8769df4 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 21 Jul 2025 22:31:51 +0200 Subject: [PATCH 0294/1566] [RLlib] Fix bug in `restore_from_path` such that connector states are also restored on remote `EnvRunner`s. (#54672) ## Why are these changes needed? If a user has stateful connectors and uses remote `EnvRunner`s in her experiments. Restoring from checkpoint will not restore the full state b/c the remote `EnvRunner`s' connector states are not restored. Furthermore, using no local `EnvRunner` (i.e. `create_local_env_runner=False`) would result in no connector states stored. This PR fixes this by: - Synching the states between the local `EnvRunner` and the remote ones after the `Algorithm` has restored everything else. - Adding a test to ensure that connector states after restoring from state are all the same. - Fixing `save_to_path` and `restore_from_path` in case no local `EnvRunner` is used by constructing directories `path / COMPONENT_ENV_TO_MODULE_CONNECTOR` and `path / COMPONENT_MODULE_TO_ENV_CONNECTOR` to store stateful connectors and reading from them. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 Co-authored-by: Artur Niederfahrenhorst Signed-off-by: Douglas Strodtman --- rllib/BUILD | 11 + rllib/algorithms/algorithm.py | 72 ++++-- ...gorithm_save_load_checkpoint_connectors.py | 233 ++++++++++++++++++ rllib/utils/checkpoints.py | 12 + 4 files changed, 314 insertions(+), 14 deletions(-) create mode 100644 rllib/algorithms/tests/test_algorithm_save_load_checkpoint_connectors.py diff --git a/rllib/BUILD b/rllib/BUILD index 26113a8cff25..a8a7e065ccb3 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -1913,6 +1913,17 @@ py_test( ], ) +py_test( + name = "test_algorithm_save_load_checkpoint_connectors", + size = "medium", + srcs = ["algorithms/tests/test_algorithm_save_load_checkpoint_connectors.py"], + tags = [ + "algorithms_dir", + "algorithms_dir_generic", + "team:rllib", + ], +) + py_test( name = "test_algorithm_rl_module_restore", size = "large", diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index 981375926479..12937c645828 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -2832,8 +2832,10 @@ def get_state( # Get (local) EnvRunner state (w/o RLModule). if self.config.is_online: - if self._check_component(COMPONENT_ENV_RUNNER, components, not_components): - if self.env_runner: + if self.env_runner: + if self._check_component( + COMPONENT_ENV_RUNNER, components, not_components + ): state[COMPONENT_ENV_RUNNER] = self.env_runner.get_state( components=self._get_subcomponents( COMPONENT_RL_MODULE, components @@ -2847,17 +2849,20 @@ def get_state( + [COMPONENT_RL_MODULE], **kwargs, ) - else: - state[COMPONENT_ENV_RUNNER] = { - COMPONENT_ENV_TO_MODULE_CONNECTOR: ( - self.env_to_module_connector.get_state() - ), - COMPONENT_MODULE_TO_ENV_CONNECTOR: ( - self.module_to_env_connector.get_state() - ), - } - - # Get (local) evaluation EnvRunner state (w/o RLModule). + else: + if self._check_component( + COMPONENT_ENV_TO_MODULE_CONNECTOR, components, not_components + ): + state[ + COMPONENT_ENV_TO_MODULE_CONNECTOR + ] = self.env_to_module_connector.get_state() + if self._check_component( + COMPONENT_MODULE_TO_ENV_CONNECTOR, components, not_components + ): + state[ + COMPONENT_MODULE_TO_ENV_CONNECTOR + ] = self.module_to_env_connector.get_state() + # Get (local) evaluation EnvRunner state (w/o RLModule). if self.eval_env_runner and self._check_component( COMPONENT_EVAL_ENV_RUNNER, components, not_components ): @@ -2948,10 +2953,19 @@ def get_checkpointable_components(self) -> List[Tuple[str, "Checkpointable"]]: components = [ (COMPONENT_LEARNER_GROUP, self.learner_group), ] - if self.config.is_online: + if self.config.is_online and self.env_runner: components.append( (COMPONENT_ENV_RUNNER, self.env_runner), ) + elif self.config.is_online and not self.env_runner: + if self.env_to_module_connector: + components.append( + (COMPONENT_ENV_TO_MODULE_CONNECTOR, self.env_to_module_connector), + ) + if self.module_to_env_connector: + components.append( + (COMPONENT_MODULE_TO_ENV_CONNECTOR, self.module_to_env_connector), + ) if self.eval_env_runner: components.append( ( @@ -2987,6 +3001,36 @@ def restore_from_path(self, path, *args, **kwargs): inference_only=True, ) + # If we have remote `EnvRunner`s but no local `EnvRunner` we have to restore states + # from path. + if self.env_runner_group.num_remote_env_runners() > 0 and not self.env_runner: + if (path / COMPONENT_ENV_TO_MODULE_CONNECTOR).is_dir(): + self.env_to_module_connector.restore_from_path( + path / COMPONENT_ENV_TO_MODULE_CONNECTOR, *args, **kwargs + ) + + if (path / COMPONENT_MODULE_TO_ENV_CONNECTOR).is_dir(): + self.module_to_env_connector.restore_from_path( + path / COMPONENT_MODULE_TO_ENV_CONNECTOR, *args, **kwargs + ) + + self.env_runner_group.sync_env_runner_states( + config=self.config, + from_worker=None, + env_steps_sampled=self.metrics.peek( + (ENV_RUNNER_RESULTS, NUM_ENV_STEPS_SAMPLED) + ), + # connector_states=connector_states, + env_to_module=self.env_to_module_connector, + module_to_env=self.module_to_env_connector, + ) + # Otherwise get the connector states from the local `EnvRunner`. + elif self.env_runner_group.num_remote_env_runners() > 0 and self.env_runner: + self.env_runner_group.sync_env_runner_states( + config=self.config, + from_worker=self.env_runner, + ) + @override(Trainable) def log_result(self, result: ResultDict) -> None: # Log after the callback is invoked, so that the user has a chance diff --git a/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_connectors.py b/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_connectors.py new file mode 100644 index 000000000000..ec58a5376faa --- /dev/null +++ b/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_connectors.py @@ -0,0 +1,233 @@ +import tempfile +import unittest + + +import ray +from ray.rllib.algorithms.algorithm_config import AlgorithmConfig +from ray.rllib.algorithms.ppo import PPOConfig +from ray.rllib.connectors.env_to_module.mean_std_filter import MeanStdFilter +from ray.rllib.core import COMPONENT_ENV_TO_MODULE_CONNECTOR +from ray.rllib.utils.filter import RunningStat +from ray.rllib.utils.test_utils import check + + +algorithms_and_configs = { + "PPO": (PPOConfig().training(train_batch_size=2, minibatch_size=2)) +} + + +@ray.remote +def save_train_and_get_states( + algo_cfg: AlgorithmConfig, num_env_runners: int, env: str, tmpdir +): + """Create an algo, train for 10 iterations, then checkpoint it. + + Note: This function uses a seeded algorithm that can modify the global random state. + Running it multiple times in the same process can affect other algorithms. + Making it a Ray task runs it in a separate process and prevents it from + affecting other algorithms' random state. + + Args: + algo_cfg: The algorithm config to build the algo from. + num_env_runners: Number of environment runners to use. + env: The gym genvironment to train on. + tmpdir: The temporary directory to save the checkpoint to. + + Returns: + The env-runner states after 10 iterations of training. + """ + algo_cfg = ( + algo_cfg.api_stack( + enable_rl_module_and_learner=True, + enable_env_runner_and_connector_v2=True, + ) + .environment(env) + .env_runners( + num_env_runners=num_env_runners, + env_to_module_connector=lambda env, spaces, device: MeanStdFilter(), + ) + # setting min_time_s_per_iteration=0 and min_sample_timesteps_per_iteration=1 + # to make sure that we get results as soon as sampling/training is done at + # least once + .reporting(min_time_s_per_iteration=0, min_sample_timesteps_per_iteration=1) + .debugging(seed=10) + ) + algo = algo_cfg.build() + for _ in range(10): + algo.train() + algo.save_to_path(tmpdir) + states = algo.env_runner_group.foreach_env_runner( + "get_state", + local_env_runner=False, + ) + return states + + +@ray.remote +def load_and_get_states( + algo_cfg: AlgorithmConfig, num_env_runners: int, env: str, tmpdir +): + """Loads the checkpoint saved by save_train_and_get_states and returns connector states. + + Note: This function uses a seeded algorithm that can modify the global random state. + Running it multiple times in the same process can affect other algorithms. + Making it a Ray task runs it in a separate process and prevents it from + affecting other algorithms' random state. + + Args: + algo_cfg: The algorithm config to build the algo from. + num_env_runners: Number of env-runners to use. + env: The gym genvironment to train on. + tmpdir: The temporary directory to save the checkpoint to. + + Returns: + The connector states of remote env-runners after 10 iterations of training. + + """ + algo_cfg = ( + algo_cfg.api_stack( + enable_rl_module_and_learner=True, + enable_env_runner_and_connector_v2=True, + ) + .environment(env) + .env_runners( + num_env_runners=num_env_runners, + env_to_module_connector=lambda env, spaces, device: MeanStdFilter(), + ) + # setting min_time_s_per_iteration=0 and min_sample_timesteps_per_iteration=1 + # to make sure that we get results as soon as sampling/training is done at + # least once + .reporting(min_time_s_per_iteration=0, min_sample_timesteps_per_iteration=1) + .debugging(seed=10) + ) + algo = algo_cfg.build() + algo.restore_from_path(tmpdir) + states = algo.env_runner_group.foreach_env_runner( + "get_state", + local_env_runner=False, + ) + + return states + + +class TestAlgorithmWithConnectorsSaveAndRestore(unittest.TestCase): + @classmethod + def setUpClass(cls) -> None: + ray.init() + + @classmethod + def tearDownClass(cls) -> None: + ray.shutdown() + + def test_save_and_restore_w_remote_env_runners(self): + num_env_runners = 2 + for algo_name in algorithms_and_configs: + config = algorithms_and_configs[algo_name] + with tempfile.TemporaryDirectory() as tmpdir: + # create an algorithm, checkpoint it, then train for 2 iterations + connector_states_algo_1 = ray.get( + save_train_and_get_states.remote( + config, num_env_runners, "CartPole-v1", tmpdir + ) + ) + # load that checkpoint into a new algorithm and check the states. + connector_states_algo_2 = ray.get( # noqa + load_and_get_states.remote( + config, num_env_runners, "CartPole-v1", tmpdir + ) + ) + + # Assert that all running stats are the same. + self._assert_running_stats_consistency( + connector_states_algo_1, connector_states_algo_2 + ) + + def test_save_and_restore_w_remote_env_runners_and_wo_local_env_runner(self): + num_env_runners = 2 + for algo_name in algorithms_and_configs: + config = algorithms_and_configs[algo_name].env_runners( + create_local_env_runner=False + ) + with tempfile.TemporaryDirectory() as tmpdir: + # create an algorithm, checkpoint it, then train for 2 iterations + connector_states_algo_1 = ray.get( + save_train_and_get_states.remote( + config, num_env_runners, "CartPole-v1", tmpdir + ) + ) + # load that checkpoint into a new algorithm and check the states. + connector_states_algo_2 = ray.get( # noqa + load_and_get_states.remote( + config, num_env_runners, "CartPole-v1", tmpdir + ) + ) + # Assert that all running stats are the same. + self._assert_running_stats_consistency( + connector_states_algo_1, connector_states_algo_2 + ) + + def _assert_running_stats_consistency( + self, connector_states_algo_1: list, connector_states_algo_2: list + ): + """ + Asserts consistency of running stats within and between algorithms. + """ + + running_stats_states_algo_1 = [ + state[COMPONENT_ENV_TO_MODULE_CONNECTOR]["MeanStdFilter"][None][ + "running_stats" + ] + for state in connector_states_algo_1 + ] + running_stats_states_algo_2 = [ + state[COMPONENT_ENV_TO_MODULE_CONNECTOR]["MeanStdFilter"][None][ + "running_stats" + ] + for state in connector_states_algo_2 + ] + + running_stats_states_algo_1 = [ + [RunningStat.from_state(s) for s in running_stats_state] + for running_stats_state in running_stats_states_algo_1 + ] + running_stats_states_algo_2 = [ + [RunningStat.from_state(s) for s in running_stats_state] + for running_stats_state in running_stats_states_algo_2 + ] + + running_stats_states_algo_1 = [ + ( + running_stat[0].n, + running_stat[0].mean_array, + running_stat[0].sum_sq_diff_array, + ) + for running_stat in running_stats_states_algo_1 + ] + running_stats_states_algo_2 = [ + ( + running_stat[0].n, + running_stat[0].mean_array, + running_stat[0].sum_sq_diff_array, + ) + for running_stat in running_stats_states_algo_2 + ] + + # The number of env-runners must be two for the following checks to make sense. + self.assertEqual(len(running_stats_states_algo_1), 2) + self.assertEqual(len(running_stats_states_algo_2), 2) + + # Assert that all running stats in algo-1 are the same (for consistency). + check(running_stats_states_algo_1[0][0], running_stats_states_algo_1[1][0]) + + # Now ensure that the connector states on remote `EnvRunner`s were restored. + check(running_stats_states_algo_1[0][0], running_stats_states_algo_2[0][0]) + + # Ensure also that all states are the same in algo-2 (for consistency). + check(running_stats_states_algo_2[0][0], running_stats_states_algo_2[1][0]) + + +if __name__ == "__main__": + import sys + import pytest + + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/utils/checkpoints.py b/rllib/utils/checkpoints.py index e446507c2d2a..43c522cfc565 100644 --- a/rllib/utils/checkpoints.py +++ b/rllib/utils/checkpoints.py @@ -196,6 +196,8 @@ def save_to_path( # Get the entire state of this Checkpointable, or use provided `state`. _state_provided = state is not None + # Get only the non-checkpointable components of the state. Checkpointable + # components are saved to path by their own `save_to_path` in the loop below. state = state or self.get_state( not_components=[c[0] for c in self.get_checkpointable_components()] ) @@ -583,6 +585,16 @@ def get_checkpointable_components(self) -> List[Tuple[str, "Checkpointable"]]: return [] def _check_component(self, name, components, not_components) -> bool: + """Returns True if a component should be checkpointed. + + Args: + name: The checkpoint name. + components: A list of components that should be checkpointed. + non_components: A list of components that should not be checkpointed. + + Returns: + True, if the component should be checkpointed and otherwise False. + """ comp_list = force_list(components) not_comp_list = force_list(not_components) if ( From 75f0a712b17c95c3551fe383ba65e84cd3fc64a4 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 21 Jul 2025 13:33:51 -0700 Subject: [PATCH 0295/1566] [Data] Remove `ray.get` call from `_MapWorker` constructor (#54734) ## Why are these changes needed? In the `_MapWorker` constructor, the worker submits a task to `ActorLocationTracker` to register its location. It currently uses `ray.get` to wait for the task to complete, which blocks the actor startup. This can slow down autoscaling, since each actor blocks on a single server. This PR removes the unnecessary `ray.get` to avoid the blocking and improve scaling speed. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../execution/operators/actor_pool_map_operator.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index d276c0e41eb6..d5f3de0d3416 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -504,10 +504,8 @@ def __init__( # Initialize state for this actor. self._map_transformer.init() self._logical_actor_id = logical_actor_id - ray.get( - actor_location_tracker.update_actor_location.remote( - self._logical_actor_id, ray.get_runtime_context().get_node_id() - ) + actor_location_tracker.update_actor_location.remote( + self._logical_actor_id, ray.get_runtime_context().get_node_id() ) def get_location(self) -> NodeIdStr: From 6f4e3d5e6de281a85845931f1eb0943dd196db71 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 21 Jul 2025 13:34:24 -0700 Subject: [PATCH 0296/1566] [ci] raydepsets: adding compile operation (#54389) Adding single operation mode and execute all operations mode (topological) for raydepsets. Read from raydepsets config and compile operations Added unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 4 + ci/raydepsets/cli.py | 72 +++++++++- ci/raydepsets/test_cli.py | 134 +++++++++++++++++- .../requirement_constraints_test.txt | 2 + .../test_data/requirements_compiled_test.txt | 8 ++ .../requirements_compiled_test_update.txt | 8 ++ ci/raydepsets/test_data/requirements_test.txt | 2 + ci/raydepsets/test_data/test.config.yaml | 13 +- 8 files changed, 228 insertions(+), 15 deletions(-) create mode 100644 ci/raydepsets/test_data/requirement_constraints_test.txt create mode 100644 ci/raydepsets/test_data/requirements_compiled_test.txt create mode 100644 ci/raydepsets/test_data/requirements_compiled_test_update.txt create mode 100644 ci/raydepsets/test_data/requirements_test.txt diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 3e8d086bb4fe..8d92a5bfa143 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -26,7 +26,11 @@ py_test( name = "test_cli", srcs = ["test_cli.py"], data = [ + "test_data/requirement_constraints_test.txt", + "test_data/requirements_test.txt", "test_data/test.config.yaml", + "test_data/requirements_compiled_test.txt", + "test_data/requirements_compiled_test_update.txt", ], exec_compatible_with = ["//:hermetic_python"], tags = [ diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 045106eb4eee..92cd9c6f0300 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,9 +1,27 @@ import click from pathlib import Path from ci.raydepsets.workspace import Workspace, Depset +from typing import List +import subprocess import platform import runfiles +DEFAULT_UV_FLAGS = [ + "--generate-hashes", + "--strip-extras", + "--python-version=3.11", + "--no-strip-markers", + "--emit-index-url", + "--emit-find-links", + "--unsafe-package ray", + "--unsafe-package grpcio-tools", + "--unsafe-package setuptools", + "--index-url https://pypi.org/simple", + "--extra-index-url https://download.pytorch.org/whl/cpu", + "--index-strategy unsafe-best-match", + "--quiet", +] + @click.group(name="raydepsets") def cli(): @@ -13,9 +31,14 @@ def cli(): @cli.command() @click.argument("config_path", default="ci/raydepsets/depset.config.yaml") @click.option("--workspace-dir", default=None) -def load(config_path: str, workspace_dir: str): +@click.option("--name", default=None) +def load(config_path: str, workspace_dir: str, name: str): """Load a dependency sets from a config file.""" - DependencySetManager(config_path=config_path, workspace_dir=workspace_dir) + manager = DependencySetManager(config_path=config_path, workspace_dir=workspace_dir) + if name: + manager.execute_single(manager.get_depset(name)) + else: + manager.execute_all() class DependencySetManager: @@ -33,6 +56,51 @@ def get_depset(self, name: str) -> Depset: return depset raise KeyError(f"Dependency set {name} not found") + def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: + cmd = f"{uv_binary()} pip {cmd} {' '.join(args)}" + click.echo(f"Executing command: {cmd}") + status = subprocess.run(cmd, shell=True) + if status.returncode != 0: + raise RuntimeError(f"Failed to execute command: {cmd}") + return status.stdout + + def execute_all(self): + for depset in self.config.depsets: + self.execute_single(depset) + + def execute_single(self, depset: Depset): + if depset.operation == "compile": + self.compile( + constraints=depset.constraints, + requirements=depset.requirements, + args=DEFAULT_UV_FLAGS.copy(), + name=depset.name, + output=depset.output, + ) + click.echo(f"Dependency set {depset.name} compiled successfully") + + def compile( + self, + constraints: List[str], + requirements: List[str], + args: List[str], + name: str, + output: str, + ): + """Compile a dependency set.""" + if constraints: + for constraint in constraints: + args.extend(["-c", self.get_path(constraint)]) + if requirements: + for requirement in requirements: + args.extend([self.get_path(requirement)]) + if output: + args.extend(["-o", self.get_path(output)]) + self.exec_uv_cmd("compile", args) + + def get_path(self, path: str) -> str: + return (Path(self.workspace.dir) / path).as_posix() + def uv_binary(): r = runfiles.Create() diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index e6e35c709158..31bf1185d653 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -8,6 +8,8 @@ from ci.raydepsets.cli import load, DependencySetManager, uv_binary from ci.raydepsets.workspace import Workspace from click.testing import CliRunner +from pathlib import Path +from ci.raydepsets.cli import DEFAULT_UV_FLAGS _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() @@ -43,14 +45,11 @@ def test_dependency_set_manager_init(self): assert manager.workspace.dir == tmpdir assert manager.config.depsets[0].name == "ray_base_test_depset" assert manager.config.depsets[0].operation == "compile" - assert manager.config.depsets[0].requirements == ["python/requirements.txt"] + assert manager.config.depsets[0].requirements == ["requirements_test.txt"] assert manager.config.depsets[0].constraints == [ - "python/requirements_compiled_ray_test_py311_cpu.txt" + "requirement_constraints_test.txt" ] - assert ( - manager.config.depsets[0].output - == "tests/requirements_compiled_test.txt" - ) + assert manager.config.depsets[0].output == "requirements_compiled.txt" def test_dependency_set_manager_get_depset(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -75,6 +74,117 @@ def test_uv_version(self): assert "uv 0.7.20" in result.stdout.decode("utf-8") assert result.stderr.decode("utf-8") == "" + def test_compile(self): + compiled_file = Path( + _runfiles.Rlocation( + f"{_REPO_NAME}/ci/raydepsets/test_data/requirements_compiled_test.txt" + ) + ) + output_file = Path( + _runfiles.Rlocation( + f"{_REPO_NAME}/ci/raydepsets/test_data/requirements_compiled.txt" + ) + ) + shutil.copy(compiled_file, output_file) + + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="ray_base_test_depset", + output="requirements_compiled.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + + def test_compile_update_package(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + compiled_file = Path( + _runfiles.Rlocation(f"{tmpdir}/requirement_constraints_test.txt") + ) + _replace_in_file(compiled_file, "emoji==2.9.0", "emoji==2.10.0") + output_file = Path( + _runfiles.Rlocation(f"{tmpdir}/requirements_compiled.txt") + ) + shutil.copy(compiled_file, output_file) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="ray_base_test_depset", + output="requirements_compiled.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test_update.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + + def test_compile_by_depset_name(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + result = CliRunner().invoke( + load, + [ + "test.config.yaml", + "--workspace-dir", + tmpdir, + "--name", + "ray_base_test_depset", + ], + ) + + output_fp = Path(tmpdir) / "requirements_compiled.txt" + assert output_fp.is_file() + assert result.exit_code == 0 + + assert ( + "Dependency set ray_base_test_depset compiled successfully" + in result.output + ) + + def test_compile_bad_requirements(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + with self.assertRaises(RuntimeError): + manager.compile( + constraints=[], + requirements=["requirements_test_bad.txt"], + args=[], + name="general_depset", + output="requirements_compiled_general.txt", + ) + + def test_get_path(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + assert ( + manager.get_path("requirements_test.txt") + == f"{tmpdir}/requirements_test.txt" + ) + def _copy_data_to_tmpdir(tmpdir): shutil.copytree( @@ -84,5 +194,15 @@ def _copy_data_to_tmpdir(tmpdir): ) +def _replace_in_file(filepath, old, new): + with open(filepath, "r") as f: + contents = f.read() + + contents = contents.replace(old, new) + + with open(filepath, "w") as f: + f.write(contents) + + if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) + sys.exit(pytest.main(["-vv", __file__])) diff --git a/ci/raydepsets/test_data/requirement_constraints_test.txt b/ci/raydepsets/test_data/requirement_constraints_test.txt new file mode 100644 index 000000000000..04249dc23b47 --- /dev/null +++ b/ci/raydepsets/test_data/requirement_constraints_test.txt @@ -0,0 +1,2 @@ +emoji==2.9.0 +pyperclip<=1.6.0 diff --git a/ci/raydepsets/test_data/requirements_compiled_test.txt b/ci/raydepsets/test_data/requirements_compiled_test.txt new file mode 100644 index 000000000000..c3215b101e88 --- /dev/null +++ b/ci/raydepsets/test_data/requirements_compiled_test.txt @@ -0,0 +1,8 @@ +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu + +emoji==2.9.0 \ + --hash=sha256:17b0d53e1d9f787307a4c65aa19badb0a1ffdbc89b3a3cd851fc77821cdaced2 \ + --hash=sha256:5f4a15b7caa9c67fc11be9d90a822e3fa26aeb4e5b7bd2ded754b394d9c47869 +pyperclip==1.6.0 \ + --hash=sha256:ce829433a9af640e08ee89b20f7c62132714bcc5d77df114044d0fccb8c3b3b8 diff --git a/ci/raydepsets/test_data/requirements_compiled_test_update.txt b/ci/raydepsets/test_data/requirements_compiled_test_update.txt new file mode 100644 index 000000000000..4c2c5b2d1886 --- /dev/null +++ b/ci/raydepsets/test_data/requirements_compiled_test_update.txt @@ -0,0 +1,8 @@ +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu + +emoji==2.10.0 \ + --hash=sha256:7e68435eecd2c428c3b4aaa5f72d61a5b1a36c81a5138681cba13d19d94aa3a0 \ + --hash=sha256:aed4332caa23553a7218f032c08b0a325ae53b010f7fb98ad272c0f7841bc1d3 +pyperclip==1.6.0 \ + --hash=sha256:ce829433a9af640e08ee89b20f7c62132714bcc5d77df114044d0fccb8c3b3b8 diff --git a/ci/raydepsets/test_data/requirements_test.txt b/ci/raydepsets/test_data/requirements_test.txt new file mode 100644 index 000000000000..bfd922099fed --- /dev/null +++ b/ci/raydepsets/test_data/requirements_test.txt @@ -0,0 +1,2 @@ +emoji +pyperclip diff --git a/ci/raydepsets/test_data/test.config.yaml b/ci/raydepsets/test_data/test.config.yaml index d6d35525ba19..3833e5853677 100644 --- a/ci/raydepsets/test_data/test.config.yaml +++ b/ci/raydepsets/test_data/test.config.yaml @@ -1,13 +1,14 @@ depsets: - name: ray_base_test_depset + operation: compile requirements: - - python/requirements.txt + - requirements_test.txt constraints: - - python/requirements_compiled_ray_test_py311_cpu.txt - output: tests/requirements_compiled_test.txt - operation: compile + - requirement_constraints_test.txt + output: requirements_compiled.txt + - name: general_depset operation: compile requirements: - - python/requirements.txt - output: python/test/requirements_compiled_general_py311_cpu.txt + - requirements_test.txt + output: requirements_compiled_general.txt From e751c116d975c0571e27efc8696faf560a41e477 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 21 Jul 2025 14:07:21 -0700 Subject: [PATCH 0297/1566] [core] stop using the generated opentelemetry proto files (#54765) the generated files are importing `opentelemetry.proto.*` anyways, generating those protobuf files and using them only introduces risks of using a version that is not compatible. opentelemetry proto is already declared as part of the python dependencies, there is no need to generate those protobuf python files Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 - python/ray/dashboard/modules/reporter/reporter_agent.py | 7 +++++-- src/ray/protobuf/BUILD | 6 ------ 3 files changed, 5 insertions(+), 9 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index dac0dfca6661..2817c34ac189 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -1024,7 +1024,6 @@ filegroup( "//src/ray/protobuf:gcs_py_proto", "//src/ray/protobuf:gcs_service_py_proto", "//src/ray/protobuf:instance_manager_py_proto", - "//src/ray/protobuf:metrics_service_py_proto", "//src/ray/protobuf:node_manager_py_proto", "//src/ray/protobuf:ray_client_py_proto", "//src/ray/protobuf:reporter_py_proto", diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 7ecbfdb9ed14..d348b794178d 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -14,7 +14,10 @@ from opencensus.stats import stats as stats_module from prometheus_client.core import REGISTRY from prometheus_client.parser import text_string_to_metric_families -from opentelemetry.proto.collector.metrics.v1 import metrics_service_pb2 +from opentelemetry.proto.collector.metrics.v1 import ( + metrics_service_pb2, + metrics_service_pb2_grpc, +) from grpc.aio import ServicerContext @@ -39,7 +42,7 @@ OpenTelemetryMetricRecorder, ) from ray._raylet import GCS_PID_KEY, WorkerID -from ray.core.generated import metrics_service_pb2_grpc, reporter_pb2, reporter_pb2_grpc +from ray.core.generated import reporter_pb2, reporter_pb2_grpc from ray.dashboard import k8s_utils from ray.dashboard.consts import ( CLUSTER_TAG_KEYS, diff --git a/src/ray/protobuf/BUILD b/src/ray/protobuf/BUILD index 7866a5298ee8..ae78cb269089 100644 --- a/src/ray/protobuf/BUILD +++ b/src/ray/protobuf/BUILD @@ -141,11 +141,6 @@ proto_library( ], ) -python_grpc_compile( - name = "metrics_service_py_proto", - deps = ["@com_github_opentelemetry_proto//:metrics_service_proto"], -) - cc_proto_library( name = "reporter_cc_proto", deps = [":reporter_proto"], @@ -430,7 +425,6 @@ proto_library( ":gcs_proto", ":logging_proto", ":reporter_proto", - "@com_github_opentelemetry_proto//:metrics_service_proto", ], ) From 2f5227a313429bee03a52087d33396dfb602cf53 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 21 Jul 2025 14:08:21 -0700 Subject: [PATCH 0298/1566] [ci] Disable KubeRay release tests based on flag (#54656) - Add the option to disable KubeRay release test if it's specified so in global config --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 3 ++ release/ray_release/buildkite/filter.py | 5 ++++ release/ray_release/configs/global_config.py | 1 + release/ray_release/tests/test_buildkite.py | 29 ++++++++++++++++++-- 4 files changed, 36 insertions(+), 2 deletions(-) diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 519c0b747f9d..a7f8320bd23a 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -405,6 +405,9 @@ py_test( name = "test_buildkite", size = "small", srcs = ["ray_release/tests/test_buildkite.py"], + data = [ + "ray_release/configs/oss_config.yaml", + ], exec_compatible_with = ["//:hermetic_python"], tags = [ "release_unit", diff --git a/release/ray_release/buildkite/filter.py b/release/ray_release/buildkite/filter.py index 340a9f07079f..727b0711896e 100644 --- a/release/ray_release/buildkite/filter.py +++ b/release/ray_release/buildkite/filter.py @@ -6,6 +6,7 @@ from ray_release.buildkite.settings import Frequency, get_frequency from ray_release.test import Test from ray_release.test_automation.state_machine import TestStateMachine +from ray_release.configs.global_config import get_global_config def _unflattened_lookup(lookup: Dict, flat_key: str, delimiter: str = "/") -> Any: @@ -31,6 +32,10 @@ def filter_tests( tests_to_run = [] for test in test_collection: + # Skip kuberay tests for now. + # TODO: (khluu) Remove this once we start running KubeRay release tests. + if test.is_kuberay() and get_global_config()["kuberay_disabled"]: + continue # First, filter by string attributes attr_mismatch = False for attr, regex in test_attr_regex_filters.items(): diff --git a/release/ray_release/configs/global_config.py b/release/ray_release/configs/global_config.py index 15238917b14d..9de06e104318 100644 --- a/release/ray_release/configs/global_config.py +++ b/release/ray_release/configs/global_config.py @@ -100,6 +100,7 @@ def _init_global_config(config_file: str): ci_pipeline_buildkite_secret=config_content.get("ci_pipeline", {}).get( "buildkite_secret" ), + kuberay_disabled=config_content.get("kuberay", {}).get("disabled", 0) == 1, ) # setup GCP workload identity federation os.environ[ diff --git a/release/ray_release/tests/test_buildkite.py b/release/ray_release/tests/test_buildkite.py index 37beed227a9a..f8fbf964a8bb 100644 --- a/release/ray_release/tests/test_buildkite.py +++ b/release/ray_release/tests/test_buildkite.py @@ -33,6 +33,10 @@ from ray_release.wheels import ( DEFAULT_BRANCH, ) +from ray_release.configs.global_config import init_global_config +from ray_release.bazel import bazel_runfile + +init_global_config(bazel_runfile("release/ray_release/configs/oss_config.yaml")) class MockBuildkiteAgent: @@ -414,6 +418,15 @@ def testFilterTests(self, *args): ), MockTest({"name": "other_3", "frequency": "manual", "team": "team_2"}), MockTest({"name": "test_3", "frequency": "nightly", "team": "team_2"}), + MockTest( + { + "name": "test_4.kuberay", + "frequency": "nightly", + "env": "kuberay", + "team": "team_2", + "run": {"type": "job"}, + } + ), ] filtered = self._filter_names_smoke(tests, frequency=Frequency.ANY) @@ -426,6 +439,7 @@ def testFilterTests(self, *args): ("other_2", False), ("other_3", False), ("test_3", False), + ("test_4.kuberay", False), ], ) assert not test.get("update_from_s3") @@ -444,6 +458,7 @@ def testFilterTests(self, *args): ("other_2", True), ("other_3", False), ("test_3", False), + ("test_4.kuberay", False), ], ) @@ -455,6 +470,7 @@ def testFilterTests(self, *args): ("test_2", True), ("other_2", False), ("test_3", False), + ("test_4.kuberay", False), ], ) @@ -470,6 +486,7 @@ def testFilterTests(self, *args): ("test_2", True), ("other_2", True), ("test_3", False), + ("test_4.kuberay", False), ], ) @@ -494,7 +511,13 @@ def testFilterTests(self, *args): test_attr_regex_filters={"name": "test.*"}, ) self.assertSequenceEqual( - filtered, [("test_1", False), ("test_2", True), ("test_3", False)] + filtered, + [ + ("test_1", False), + ("test_2", True), + ("test_3", False), + ("test_4.kuberay", False), + ], ) filtered = self._filter_names_smoke( @@ -522,7 +545,9 @@ def testFilterTests(self, *args): frequency=Frequency.ANY, test_attr_regex_filters={"run/type": "job"}, ) - self.assertSequenceEqual(filtered, [("test_1", False), ("other_2", False)]) + self.assertSequenceEqual( + filtered, [("test_1", False), ("other_2", False), ("test_4.kuberay", False)] + ) filtered = self._filter_names_smoke( tests, From 4ae28ddc54ae66d35e600ad09f5e32b00e76093d Mon Sep 17 00:00:00 2001 From: Rueian Date: Mon, 21 Jul 2025 15:03:27 -0700 Subject: [PATCH 0299/1566] [core] prevent sending SIGTERM after calling Worker::MarkDead (#54377) ## Why are these changes needed? Following [the previous discussion](https://github.com/ray-project/ray/pull/54068#discussion_r2183231079), this PR merges the flags used by `Worker::MarkDead` and `Worker::KillAsync`. Currently, `Worker::MarkDead` will only be called after we ask the worker to shutdown via the `Exit` RPC. After the `Exit` RPC, the worker should shut down by itself. This change essentially prevents sending `SIGTERM` from the node manager to a worker once its `Worker::MarkDead` method has been called, ensuring that we don't interrupt its shutdown process. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Rueian Co-authored-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/raylet/node_manager.cc | 1 - src/ray/raylet/test/util.h | 9 +++++---- src/ray/raylet/worker.cc | 13 ++++++++----- src/ray/raylet/worker.h | 4 +--- 4 files changed, 14 insertions(+), 13 deletions(-) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 2f9d9565b12a..65735b2523a7 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -391,7 +391,6 @@ void NodeManager::DestroyWorker(std::shared_ptr worker, // due to worker dead will be ignored. DisconnectClient( worker->Connection(), /*graceful=*/false, disconnect_type, disconnect_detail); - worker->MarkDead(); worker->KillAsync(io_service_, force); if (disconnect_type == rpc::WorkerExitType::SYSTEM_ERROR) { number_workers_killed_++; diff --git a/src/ray/raylet/test/util.h b/src/ray/raylet/test/util.h index 74176158b35f..aee501c99870 100644 --- a/src/ray/raylet/test/util.h +++ b/src/ray/raylet/test/util.h @@ -85,12 +85,13 @@ class MockWorker : public WorkerInterface { void MarkDead() override { RAY_CHECK(false) << "Method unused"; } bool IsDead() const override { RAY_CHECK(false) << "Method unused"; - return false; + return killing_.load(std::memory_order_acquire); } void KillAsync(instrumented_io_context &io_service, bool force) override { - killed_.store(true); + bool expected = false; + killing_.compare_exchange_strong(expected, true, std::memory_order_acq_rel); } - bool IsKilled() const { return killed_.load(); } + bool IsKilled() const { return killing_.load(std::memory_order_acquire); } void MarkBlocked() override { blocked_ = true; } void MarkUnblocked() override { blocked_ = false; } bool IsBlocked() const override { return blocked_; } @@ -203,7 +204,7 @@ class MockWorker : public WorkerInterface { JobID job_id_; ActorID root_detached_actor_id_; Process proc_; - std::atomic killed_ = false; + std::atomic killing_ = false; }; } // namespace raylet diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index d6e97fcdcd2f..cdf7aeab5d63 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -48,20 +48,23 @@ Worker::Worker(const JobID &job_id, assigned_job_id_(job_id), runtime_env_hash_(runtime_env_hash), bundle_id_(std::make_pair(PlacementGroupID::Nil(), -1)), - dead_(false), killing_(false), blocked_(false), client_call_manager_(client_call_manager) {} rpc::WorkerType Worker::GetWorkerType() const { return worker_type_; } -void Worker::MarkDead() { dead_ = true; } +void Worker::MarkDead() { + bool expected = false; + killing_.compare_exchange_strong(expected, true, std::memory_order_acq_rel); +} -bool Worker::IsDead() const { return dead_; } +bool Worker::IsDead() const { return killing_.load(std::memory_order_acquire); } void Worker::KillAsync(instrumented_io_context &io_service, bool force) { - if (killing_.exchange(true)) { // TODO(rueian): could we just reuse the dead_ flag? - return; // This is not the first time calling KillAsync, do nothing. + bool expected = false; + if (!killing_.compare_exchange_strong(expected, true, std::memory_order_acq_rel)) { + return; // This is not the first time calling KillAsync or MarkDead, do nothing. } const auto worker = shared_from_this(); if (force) { diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index ab3b1ba6d77c..3d208f404434 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -302,9 +302,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// The worker's placement group bundle. It is used to detect if the worker is /// associated with a placement group bundle. BundleID bundle_id_; - /// Whether the worker is dead. - bool dead_; - /// Whether the worker is killed by the Kill method. + /// Whether the worker is being killed by the KillAsync or MarkDead method. std::atomic killing_; /// Whether the worker is blocked. Workers become blocked in a `ray.get`, if /// they require a data dependency while executing a task. From 431fad7789add83148d30024b912645e8d495659 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 21 Jul 2025 15:09:41 -0700 Subject: [PATCH 0300/1566] [deps] upgrade gitpython to 3.1.44 (#54756) to latest Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements_compiled.txt | 2 +- python/requirements_compiled_ray_test_py311_cpu.txt | 6 +++--- python/requirements_compiled_ray_test_py311_cu121.txt | 6 +++--- python/requirements_compiled_ray_test_py311_cu128.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cpu.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cu121.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cu128.txt | 6 +++--- release/ray_release/byod/requirements_ml_byod_3.9.txt | 6 +++--- release/requirements_buildkite.txt | 6 +++--- 9 files changed, 25 insertions(+), 25 deletions(-) diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index d601aeff14ec..84b73fbc1c10 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -573,7 +573,7 @@ getdaft==0.4.3 # via -r python/requirements/ml/data-requirements.txt gitdb==4.0.11 # via gitpython -gitpython==3.1.40 +gitpython==3.1.44 # via # -r python/requirements/cloud-requirements.txt # mlflow-skinny diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index 4772303f8e8a..ad6345daa3d9 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -795,9 +795,9 @@ gitdb==4.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 12c62ed76281..a82e00a648d1 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -795,9 +795,9 @@ gitdb==4.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index fb8df2aeb0cf..1f432a92a17e 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -795,9 +795,9 @@ gitdb==4.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 14f0116dbf7b..b4e68ceeb4be 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -963,9 +963,9 @@ gitdb==4.0.11 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index 0c90eebd3b1d..c53910d22e9e 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -963,9 +963,9 @@ gitdb==4.0.11 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 5d09d0728bad..b4a5e79e2c29 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -962,9 +962,9 @@ gitdb==4.0.11 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index b97cded99dad..84b41c4c5447 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -1124,9 +1124,9 @@ gitdb==4.0.11 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gitpython -gitpython==3.1.40 \ - --hash=sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4 \ - --hash=sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c release/ray_release/byod/requirements_compiled.txt # wandb diff --git a/release/requirements_buildkite.txt b/release/requirements_buildkite.txt index 9abdd18909ca..4825b8340f9e 100644 --- a/release/requirements_buildkite.txt +++ b/release/requirements_buildkite.txt @@ -550,9 +550,9 @@ gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b # via gitpython -gitpython==3.1.43 \ - --hash=sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c \ - --hash=sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via anyscale google-api-core[grpc]==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ From 06a074ff8726c2f228e91576b3e7806966173a0a Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Mon, 21 Jul 2025 15:11:59 -0700 Subject: [PATCH 0301/1566] [Train] Image classification Benchmark: Enable op fusion with `read->map->limit` pipeline (#54649) Image classification Benchmark: Enable op fusion with read->map->limit pipeline In Train Image classification Benchmark, order `read->map->limit` instead of `read->limit->map`. This is to enable operator fusion of `read->map`. --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- .../benchmark/image_classification/jpeg/factory.py | 8 ++++---- .../benchmark/image_classification/parquet/factory.py | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/release/train_tests/benchmark/image_classification/jpeg/factory.py b/release/train_tests/benchmark/image_classification/jpeg/factory.py index e7f2229d8cb1..e5be3647ff44 100644 --- a/release/train_tests/benchmark/image_classification/jpeg/factory.py +++ b/release/train_tests/benchmark/image_classification/jpeg/factory.py @@ -103,9 +103,9 @@ def get_ray_datasets(self) -> Dict[str, ray.data.Dataset]: include_paths=False, partitioning=train_partitioning, filesystem=filesystem, - ) + ).map(get_preprocess_map_fn(random_transforms=True)) + # Add limit after map to enable operator fusion. .limit(self.get_dataloader_config().limit_training_rows) - .map(get_preprocess_map_fn(random_transforms=True)) ) # Create validation dataset with same partitioning @@ -117,9 +117,9 @@ def get_ray_datasets(self) -> Dict[str, ray.data.Dataset]: include_paths=False, partitioning=val_partitioning, filesystem=filesystem, - ) + ).map(get_preprocess_map_fn(random_transforms=False)) + # Add limit after map to enable operator fusion. .limit(self.get_dataloader_config().limit_validation_rows) - .map(get_preprocess_map_fn(random_transforms=False)) ) return { diff --git a/release/train_tests/benchmark/image_classification/parquet/factory.py b/release/train_tests/benchmark/image_classification/parquet/factory.py index 7c5dd9901f80..5bce7f26eefd 100644 --- a/release/train_tests/benchmark/image_classification/parquet/factory.py +++ b/release/train_tests/benchmark/image_classification/parquet/factory.py @@ -53,9 +53,9 @@ def get_ray_datasets(self) -> Dict[str, ray.data.Dataset]: ray.data.read_parquet( self._data_dirs[DatasetKey.TRAIN], columns=["image", "label"], - ) + ).map(get_preprocess_map_fn(decode_image=True, random_transforms=True)) + # Add limit after map to enable operator fusion. .limit(self.get_dataloader_config().limit_training_rows) - .map(get_preprocess_map_fn(decode_image=True, random_transforms=True)) ) # Create validation dataset without random transforms @@ -63,9 +63,9 @@ def get_ray_datasets(self) -> Dict[str, ray.data.Dataset]: ray.data.read_parquet( self._data_dirs[DatasetKey.TRAIN], columns=["image", "label"], - ) + ).map(get_preprocess_map_fn(decode_image=True, random_transforms=False)) + # Add limit after map to enable operator fusion. .limit(self.get_dataloader_config().limit_validation_rows) - .map(get_preprocess_map_fn(decode_image=True, random_transforms=False)) ) return { From 87733b012b6c65d8a273cb255a0cded8c6f55424 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Mon, 21 Jul 2025 15:16:07 -0700 Subject: [PATCH 0302/1566] [Data] BundleQueue has_next (#54710) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 6 ----- .../execution/bundle_queue/bundle_queue.py | 12 ++++++++-- .../bundle_queue/fifo_bundle_queue.py | 7 ++++-- .../operators/actor_pool_map_operator.py | 7 +++--- .../execution/streaming_executor_state.py | 19 +++++++++++---- python/ray/data/tests/test_bundle_queue.py | 24 +++++++++---------- 6 files changed, 44 insertions(+), 31 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 37ecee53e326..30c316914ba9 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -120,9 +120,6 @@ python/ray/_private/ray_logging/__init__.py DOC101: Function `run_callback_on_events_in_ipython`: Docstring contains fewer arguments than in function signature. DOC103: Function `run_callback_on_events_in_ipython`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [event: str]. -------------------- -python/ray/_private/ray_option_utils.py - DOC201: Function `_counting_option` does not have a return section in docstring --------------------- python/ray/_private/resource_isolation_config.py DOC101: Method `ResourceIsolationConfig.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `ResourceIsolationConfig.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [cgroup_path: Optional[str], enable_resource_isolation: bool, system_reserved_cpu: Optional[float], system_reserved_memory: Optional[int]]. @@ -1097,9 +1094,6 @@ python/ray/data/_internal/equalize.py DOC103: Function `_equalize`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [owned_by_consumer: bool]. DOC103: Function `_shave_all_splits`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [per_split_num_rows: List[List[int]]]. -------------------- -python/ray/data/_internal/execution/bundle_queue/bundle_queue.py - DOC201: Method `BundleQueue.pop` does not have a return section in docstring --------------------- python/ray/data/_internal/execution/interfaces/execution_options.py DOC201: Method `ExecutionResources.for_limits` does not have a return section in docstring DOC101: Method `ExecutionResources.add`: Docstring contains fewer arguments than in function signature. diff --git a/python/ray/data/_internal/execution/bundle_queue/bundle_queue.py b/python/ray/data/_internal/execution/bundle_queue/bundle_queue.py index f11bacf14c33..72c95a86dc9c 100644 --- a/python/ray/data/_internal/execution/bundle_queue/bundle_queue.py +++ b/python/ray/data/_internal/execution/bundle_queue/bundle_queue.py @@ -22,22 +22,30 @@ def add(self, bundle: "RefBundle") -> None: ... @abc.abstractmethod - def pop(self) -> "RefBundle": + def get_next(self) -> "RefBundle": """Remove and return the head of the queue. Raises: IndexError: If the queue is empty. + + Returns: + A Refbundle if has_next() is True """ ... @abc.abstractmethod - def peek(self) -> Optional["RefBundle"]: + def peek_next(self) -> Optional["RefBundle"]: """Return the head of the queue without removing it. If the queue is empty, return `None`. """ ... + @abc.abstractmethod + def has_next(self) -> bool: + """Check if the queue has a valid bundle.""" + ... + @abc.abstractmethod def remove(self, bundle: "RefBundle"): """Remove a bundle from the queue.""" diff --git a/python/ray/data/_internal/execution/bundle_queue/fifo_bundle_queue.py b/python/ray/data/_internal/execution/bundle_queue/fifo_bundle_queue.py index 4422c8798eac..23005ea67dbe 100644 --- a/python/ray/data/_internal/execution/bundle_queue/fifo_bundle_queue.py +++ b/python/ray/data/_internal/execution/bundle_queue/fifo_bundle_queue.py @@ -56,7 +56,7 @@ def add(self, bundle: "RefBundle") -> None: self._nbytes += bundle.size_bytes() self._num_bundles += 1 - def pop(self) -> "RefBundle": + def get_next(self) -> "RefBundle": """Return the first (left) bundle in the queue.""" # Case 1: The queue is empty. if not self._head: @@ -67,7 +67,10 @@ def pop(self) -> "RefBundle": return bundle - def peek(self) -> Optional["RefBundle"]: + def has_next(self) -> bool: + return self._num_bundles > 0 + + def peek_next(self) -> Optional["RefBundle"]: """Return the first (left) bundle in the queue without removing it.""" if self._head is None: return None diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index d5f3de0d3416..9c0f4c834d8d 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -26,7 +26,7 @@ TaskContext, ) from ray.data._internal.execution.interfaces.physical_operator import _ActorPoolInfo -from ray.data._internal.execution.node_trackers import ( +from ray.data._internal.execution.node_trackers.actor_location import ( ActorLocationTracker, get_or_create_actor_location_tracker, ) @@ -159,7 +159,6 @@ def __init__( ), _enable_actor_pool_on_exit_hook=self.data_context._enable_actor_pool_on_exit_hook, ) - self._actor_task_selector = self._create_task_selector(self._actor_pool) # A queue of bundles awaiting dispatch to actors. self._bundle_queue = create_bundle_queue() @@ -234,7 +233,7 @@ def _start_actor( Args: labels: The key-value labels to launch the actor with. - logical_actor_id: A unique identifier for the actor. + logical_actor_id: The logical id of the actor. Returns: A tuple of the actor handle and the object ref to the actor's location. @@ -597,7 +596,7 @@ def select_actors( while input_queue: # Filter out actors that are invalid, i.e. actors with number of tasks in # flight >= _max_tasks_in_flight or actor_state is not ALIVE. - bundle = input_queue.peek() + bundle = input_queue.peek_next() valid_actors = [ actor for actor in self._actor_pool.running_actors() diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 27a495e7e0bf..b617355d584e 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -100,6 +100,11 @@ def has_next(self, output_split_idx: Optional[int] = None) -> bool: with self._lock: return self._num_per_split[output_split_idx] > 0 + def has_valid_next(self) -> bool: + """Whether next RefBundle is available and valid.""" + with self._lock: + return self._queue.has_next() + def append(self, ref: RefBundle): """Append a RefBundle to the queue.""" with self._lock: @@ -120,7 +125,7 @@ def pop(self, output_split_idx: Optional[int] = None) -> Optional[RefBundle]: if output_split_idx is None: try: with self._lock: - ret = self._queue.pop() + ret = self._queue.get_next() except IndexError: pass else: @@ -135,10 +140,10 @@ def pop(self, output_split_idx: Optional[int] = None) -> Optional[RefBundle]: # preserve the order of ref bundles with different output splits. with self._lock: while len(self._queue) > 0: - ref = self._queue.pop() + ref = self._queue.get_next() self._outputs_by_split[ref.output_split_idx].add(ref) try: - ret = split_queue.pop() + ret = split_queue.get_next() except IndexError: pass if ret is None: @@ -269,6 +274,10 @@ def _pending_dispatch_input_bundles_count(self) -> int: operator across (external) input queues""" return sum(len(q) for q in self.input_queues) + def has_valid_input_bundle(self) -> bool: + """Check if the operator has a valid bundle in its input queue.""" + return any(queue.has_valid_next() for queue in self.input_queues) + def add_output(self, ref: RefBundle) -> None: """Move a bundle produced by the operator to its outqueue.""" @@ -616,11 +625,11 @@ def get_eligible_operators( # Check whether operator could start executing immediately: # - It's not completed # - It can accept at least one input - # - Its input queue is not empty + # - Its input queue has a valid bundle if ( not op.completed() and op.should_add_input() - and state._pending_dispatch_input_bundles_count() > 0 + and state.has_valid_input_bundle() ): if not in_backpressure: op_runnable = True diff --git a/python/ray/data/tests/test_bundle_queue.py b/python/ray/data/tests/test_bundle_queue.py index d3e379f880ec..4fb0e831f454 100644 --- a/python/ray/data/tests/test_bundle_queue.py +++ b/python/ray/data/tests/test_bundle_queue.py @@ -26,47 +26,47 @@ def test_add_and_length(): assert len(queue) == 2 -def test_pop(): +def test_get_next(): queue = create_bundle_queue() bundle1 = _create_bundle("test1") queue.add(bundle1) bundle2 = _create_bundle("test2") queue.add(bundle2) - popped_bundle = queue.pop() + popped_bundle = queue.get_next() assert popped_bundle is bundle1 assert len(queue) == 1 -def test_peek(): +def test_peek_next(): queue = create_bundle_queue() bundle1 = _create_bundle("test1") queue.add(bundle1) bundle2 = _create_bundle("test2") queue.add(bundle2) - peeked_bundle = queue.peek() + peeked_bundle = queue.peek_next() assert peeked_bundle is bundle1 assert len(queue) == 2 # Length should remain unchanged -def test_pop_empty_queue(): +def test_get_next_empty_queue(): queue = create_bundle_queue() with pytest.raises(IndexError): - queue.pop() + queue.get_next() -def test_pop_does_not_leak_objects(): +def test_get_next_does_not_leak_objects(): queue = create_bundle_queue() bundle1 = _create_bundle("test1") queue.add(bundle1) - queue.pop() + queue.get_next() assert queue.is_empty() -def test_peek_empty_queue(): +def test_peek_next_empty_queue(): queue = create_bundle_queue() - assert queue.peek() is None + assert queue.peek_next() is None assert queue.is_empty() @@ -79,7 +79,7 @@ def test_remove(): queue.remove(bundle1) assert len(queue) == 1 - assert queue.peek() is bundle2 + assert queue.peek_next() is bundle2 def test_remove_does_not_leak_objects(): @@ -101,7 +101,7 @@ def test_add_and_remove_duplicates(): assert len(queue) == 3 queue.remove(bundle1) assert len(queue) == 2 - assert queue.peek() is bundle2 + assert queue.peek_next() is bundle2 def test_clear(): From b028bf61898cf456965485412530913d7a54710c Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Mon, 21 Jul 2025 15:35:31 -0700 Subject: [PATCH 0303/1566] [Serve.llm][docs] Improve multi-lora docs (#54788) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- doc/source/serve/llm/serving-llms.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/serve/llm/serving-llms.rst b/doc/source/serve/llm/serving-llms.rst index 537f2bcc4059..cbba54e26e88 100644 --- a/doc/source/serve/llm/serving-llms.rst +++ b/doc/source/serve/llm/serving-llms.rst @@ -432,9 +432,9 @@ For each usage pattern, we provide a server and client code snippet. Multi-LoRA Deployment ~~~~~~~~~~~~~~~~~~~~~ -You can use LoRA (Low-Rank Adaptation) to efficiently fine-tune models by configuring the :class:`LoraConfig `. +You can use our multi-LoRA (Low-Rank Adaptation) feature to efficiently serve multiple fine-tuned models by configuring the :class:`LoraConfig `. We use Ray Serve's multiplexing feature to serve multiple LoRA checkpoints from the same model. -This allows the weights to be loaded on each replica on-the-fly and be cached via an LRU mechanism. +When a request for a given LoRA adapter arrives, Ray Serve first checks if any replica has already loaded that adapter. If a replica with the adapter is found and is not overloaded, the request is routed to it. If all replicas with the adapter are overloaded, the request is routed to a less busy replica, which will then load the adapter on the new replica. If no replica has the adapter loaded, the request is routed to a replica according to the default request router logic (for example Power of 2) and loaded there so that the next time it will be cached. This ensures the adapter is cached for subsequent requests. The cache of LoRA adapters on each replica is controlled via a Least Recently Used (LRU) mechanism with a max size controlled by the ``max_num_adapters_per_replica`` variable. .. tab-set:: From 5eedc1f300a17f287d0641bc88da1b58cac48092 Mon Sep 17 00:00:00 2001 From: xTong Date: Tue, 22 Jul 2025 06:59:38 +0800 Subject: [PATCH 0304/1566] [Dashboard] Add Worker ID column to Worker table in Node detail page (#52581) This PR addresses part of the issue #49988, adding a Worker ID column to the Worker table on the Node details page. - Added Worker ID column in WorkerTable.tsx - Added tooltips and text overflow handling - Implemented search filtering functionality for Worker ID Signed-off-by: x-Tong Signed-off-by: Douglas Strodtman --- .../client/src/components/ActorTable.tsx | 45 ++++++++++++++++++- .../client/src/components/WorkerTable.tsx | 36 ++++++++++++++- 2 files changed, 78 insertions(+), 3 deletions(-) diff --git a/python/ray/dashboard/client/src/components/ActorTable.tsx b/python/ray/dashboard/client/src/components/ActorTable.tsx index 21c429a4b4d1..2e2097115af4 100644 --- a/python/ray/dashboard/client/src/components/ActorTable.tsx +++ b/python/ray/dashboard/client/src/components/ActorTable.tsx @@ -162,6 +162,14 @@ const ActorTable = ({ const columns = [ { label: "" }, { label: "ID" }, + { + label: "Worker ID", + helpInfo: ( + + The ID of the worker process that hosts this actor. + + ), + }, { label: "Class", helpInfo: ( @@ -246,9 +254,9 @@ const ActorTable = ({ Hardware CPU usage of this Actor (from Worker Process).

    - Node’s CPU usage is calculated against all CPU cores. Worker Process’s + Node's CPU usage is calculated against all CPU cores. Worker Process's CPU usage is calculated against 1 CPU core. As a result, the sum of - CPU usage from all Worker Processes is not equal to the Node’s CPU + CPU usage from all Worker Processes is not equal to the Node's CPU usage. ), @@ -419,6 +427,21 @@ const ActorTable = ({ ), }} /> + { + changeFilter("workerId", value.trim()); + }, + endAdornment: ( + + + + ), + }} + /> + + {actors[actorId]?.workerId ? ( + + + {actors[actorId].workerId} + + + ) : ( + "-" + )} + {actorClass} {name ? name : "-"} diff --git a/python/ray/dashboard/client/src/components/WorkerTable.tsx b/python/ray/dashboard/client/src/components/WorkerTable.tsx index 522b07dcc1f5..f8edba70a92f 100644 --- a/python/ray/dashboard/client/src/components/WorkerTable.tsx +++ b/python/ray/dashboard/client/src/components/WorkerTable.tsx @@ -1,5 +1,6 @@ import { KeyboardArrowDown, KeyboardArrowRight } from "@mui/icons-material"; import { + Box, Button, Grid, IconButton, @@ -9,6 +10,7 @@ import { TableContainer, TableHead, TableRow, + Tooltip, } from "@mui/material"; import React, { PropsWithChildren, @@ -94,7 +96,14 @@ const WorkerDetailTable = ({ const actors = {} as { [actorId: string]: ActorDetail }; (coreWorkerStats || []) .filter((e) => actorMap[e.actorId]) - .forEach((e) => (actors[e.actorId] = actorMap[e.actorId])); + .forEach((e) => { + if (actorMap[e.actorId]) { + actors[e.actorId] = { + ...actorMap[e.actorId], + workerId: e.workerId || "N/A", + }; + } + }); if (!Object.values(actors).length) { return

    The Worker Haven't Had Related Actor Yet.

    ; @@ -130,6 +139,12 @@ const RayletWorkerTable = ({ label="Pid" onChange={(value) => changeFilter("pid", value)} /> + + changeFilter("coreWorkerStats.0.workerId", value) + } + />
    @@ -140,6 +155,7 @@ const RayletWorkerTable = ({ {[ "", "Pid", + "Worker ID", "CPU", "CPU Times", "Memory", @@ -197,6 +213,24 @@ const RayletWorkerTable = ({ stateKey={key} > {pid} + + {coreWorkerStats[0]?.workerId ? ( + + + {coreWorkerStats[0].workerId} + + + ) : ( + "N/A" + )} + {cpuPercent}% From 4256af361b7511c8a94986191d0d589f478ce6d0 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 21 Jul 2025 16:05:28 -0700 Subject: [PATCH 0305/1566] [core] Comment on caller requirements for GetObjectStatus (#54735) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/protobuf/core_worker.proto | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 27f5203265be..78e3099dba28 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -484,6 +484,8 @@ service CoreWorkerService { returns (ActorCallArgWaitCompleteReply); // A worker asks the object's owner worker about the object's current status. + // This RPC assumes the ref won't be removed in the middle of execution and it's the + // caller's responsibility to guarantee that. // Failure: TODO, Needs better failure behavior, currently assumes owner is dead and // object is lost. rpc GetObjectStatus(GetObjectStatusRequest) returns (GetObjectStatusReply); From c2224843283d2204221ab9c6c5909c660982147e Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Mon, 21 Jul 2025 17:56:45 -0700 Subject: [PATCH 0306/1566] [Train] Add ControllerError for the errors thrown from the controller (#54801) The controller can raise a variety of errors. We distinguish these through two subclasses of `RayTrainError`: * `TrainingFailedError` captures Train worker failures. If any of the workers failed, then this error is populated with a dict mapping worker rank to the error. * `ControllerError` captures Train driver errors (the `TrainController`). For example, if there are too many worker group startup attempts that fail (see https://github.com/ray-project/ray/pull/54257), then the controller can error out. --------- Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- python/ray/train/v2/api/exceptions.py | 26 +++++++++++++++++++++++- python/ray/train/v2/tests/test_v2_api.py | 24 ++++++++++++++++++++++ 2 files changed, 49 insertions(+), 1 deletion(-) diff --git a/python/ray/train/v2/api/exceptions.py b/python/ray/train/v2/api/exceptions.py index 2f90f73b8eeb..49b012ec1364 100644 --- a/python/ray/train/v2/api/exceptions.py +++ b/python/ray/train/v2/api/exceptions.py @@ -6,7 +6,13 @@ @PublicAPI(stability="alpha") class TrainingFailedError(RayTrainError): - """Exception raised by `Trainer.fit()` when training fails.""" + """Exception raised from the training workers. + + Args: + error_message: A human-readable error message describing the training worker failures. + worker_failures: A mapping from worker rank to the exception that + occurred on that worker during training. + """ def __init__(self, error_message: str, worker_failures: Dict[int, Exception]): super().__init__("Training failed due to worker errors:\n" + error_message) @@ -15,3 +21,21 @@ def __init__(self, error_message: str, worker_failures: Dict[int, Exception]): def __reduce__(self): return (self.__class__, (self._error_message, self.worker_failures)) + + +@PublicAPI(stability="alpha") +class ControllerError(RayTrainError): + """Exception raised when training fails due to a controller error. + + Args: + controller_failure: The exception that occurred on the controller. + """ + + def __init__(self, controller_failure: Exception): + super().__init__( + "Training failed due to controller error:\n" + str(controller_failure) + ) + self.controller_failure = controller_failure + + def __reduce__(self): + return (self.__class__, (self.controller_failure,)) diff --git a/python/ray/train/v2/tests/test_v2_api.py b/python/ray/train/v2/tests/test_v2_api.py index d9b5697fa77a..c9ca507468b2 100644 --- a/python/ray/train/v2/tests/test_v2_api.py +++ b/python/ray/train/v2/tests/test_v2_api.py @@ -3,9 +3,11 @@ import pytest +import ray.cloudpickle as ray_pickle import ray.train from ray.train import FailureConfig, RunConfig, ScalingConfig from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer +from ray.train.v2.api.exceptions import ControllerError, TrainingFailedError @pytest.mark.parametrize( @@ -122,6 +124,28 @@ def test_train_v2_import(monkeypatch, env_v2_enabled): assert Result is not ResultV2 +@pytest.mark.parametrize( + "error", + [ + TrainingFailedError( + "Training failed on multiple workers", + {0: ValueError("worker 0 failed"), 1: RuntimeError("worker 1 failed")}, + ), + ControllerError(Exception("Controller crashed")), + ], +) +def test_exceptions_are_picklable(error): + """Test that TrainingFailedError and ControllerError are picklable.""" + + # Test pickle/unpickle for TrainingFailedError + pickled_error = ray_pickle.dumps(error) + unpickled_error = ray_pickle.loads(pickled_error) + + # Verify attributes are preserved + assert str(unpickled_error) == str(error) + assert type(unpickled_error) is type(error) + + if __name__ == "__main__": import sys From 0a4a2b5360f13782769342693841e7f540d0079b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 21 Jul 2025 18:22:21 -0700 Subject: [PATCH 0307/1566] [ci] reaydepsets formatting bazel file (#54811) formatting raydepsets bazel build file Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 8d92a5bfa143..c2671f5a91fd 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -27,10 +27,10 @@ py_test( srcs = ["test_cli.py"], data = [ "test_data/requirement_constraints_test.txt", - "test_data/requirements_test.txt", - "test_data/test.config.yaml", "test_data/requirements_compiled_test.txt", "test_data/requirements_compiled_test_update.txt", + "test_data/requirements_test.txt", + "test_data/test.config.yaml", ], exec_compatible_with = ["//:hermetic_python"], tags = [ From 3ac51fa3617d5046e1ba6c3bb417f45845953b29 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Mon, 21 Jul 2025 21:35:41 -0700 Subject: [PATCH 0308/1566] [Serve] Handle autoscaling edge case (#54644) Currently, handle_transition() fails to handle the case when autoscaling is triggered manually through config while the previous autoscaling is still in progress. This PR handles the edge case. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/common.py | 112 +++++++++++------- python/ray/serve/_private/deployment_state.py | 4 + .../ray/serve/tests/test_target_capacity.py | 13 +- 3 files changed, 88 insertions(+), 41 deletions(-) diff --git a/python/ray/serve/_private/common.py b/python/ray/serve/_private/common.py index a533b46e9f64..19f6e27a777f 100644 --- a/python/ray/serve/_private/common.py +++ b/python/ray/serve/_private/common.py @@ -125,6 +125,8 @@ class DeploymentStatus(str, Enum): class DeploymentStatusTrigger(str, Enum): + """Explains how a deployment reached its current DeploymentStatus.""" + UNSPECIFIED = "UNSPECIFIED" CONFIG_UPDATE_STARTED = "CONFIG_UPDATE_STARTED" CONFIG_UPDATE_COMPLETED = "CONFIG_UPDATE_COMPLETED" @@ -143,6 +145,9 @@ class DeploymentStatusInternalTrigger(str, Enum): CONFIG_UPDATE = "CONFIG_UPDATE" AUTOSCALE_UP = "AUTOSCALE_UP" AUTOSCALE_DOWN = "AUTOSCALE_DOWN" + # MANUALLY_INCREASE_NUM_REPLICAS and MANUALLY_DECREASE_NUM_REPLICAS are used + # instead of CONFIG_UPDATE when "only the replica scale" is triggered + # by the config update. MANUALLY_INCREASE_NUM_REPLICAS = "MANUALLY_INCREASE_NUM_REPLICAS" MANUALLY_DECREASE_NUM_REPLICAS = "MANUALLY_DECREASE_NUM_REPLICAS" REPLICA_STARTUP_FAILED = "REPLICA_STARTUP_FAILED" @@ -229,6 +234,7 @@ def handle_transition( Args: trigger: An internal trigger that determines the state + transition. This is the new incoming trigger causing the transition. message: The message to set in status info. @@ -310,8 +316,21 @@ def handle_transition( ) elif self.status in {DeploymentStatus.UPSCALING, DeploymentStatus.DOWNSCALING}: + # Failures occurred while upscaling/downscaling + if trigger == DeploymentStatusInternalTrigger.HEALTH_CHECK_FAILED: + return self._updated_copy( + status=DeploymentStatus.UNHEALTHY, + status_trigger=DeploymentStatusTrigger.HEALTH_CHECK_FAILED, + message=message, + ) + elif trigger == DeploymentStatusInternalTrigger.REPLICA_STARTUP_FAILED: + return self._updated_copy( + status=DeploymentStatus.UNHEALTHY, + status_trigger=DeploymentStatusTrigger.REPLICA_STARTUP_FAILED, + message=message, + ) # Deployment transitions to healthy - if trigger == DeploymentStatusInternalTrigger.HEALTHY: + elif trigger == DeploymentStatusInternalTrigger.HEALTHY: return self._updated_copy( status=DeploymentStatus.HEALTHY, status_trigger=DeploymentStatusTrigger.UPSCALE_COMPLETED @@ -328,45 +347,58 @@ def handle_transition( message=message, ) - # Upscale replicas before previous upscaling/downscaling has finished - elif ( - self.status_trigger == DeploymentStatusTrigger.AUTOSCALING - and trigger == DeploymentStatusInternalTrigger.AUTOSCALE_UP - ) or ( - self.status_trigger == DeploymentStatusTrigger.CONFIG_UPDATE_STARTED - and trigger - == DeploymentStatusInternalTrigger.MANUALLY_INCREASE_NUM_REPLICAS - ): - return self._updated_copy( - status=DeploymentStatus.UPSCALING, message=message - ) - - # Downscale replicas before previous upscaling/downscaling has finished - elif ( - self.status_trigger == DeploymentStatusTrigger.AUTOSCALING - and trigger == DeploymentStatusInternalTrigger.AUTOSCALE_DOWN - ) or ( - self.status_trigger == DeploymentStatusTrigger.CONFIG_UPDATE_STARTED - and trigger - == DeploymentStatusInternalTrigger.MANUALLY_DECREASE_NUM_REPLICAS - ): - return self._updated_copy( - status=DeploymentStatus.DOWNSCALING, message=message - ) - - # Failures occurred while upscaling/downscaling - elif trigger == DeploymentStatusInternalTrigger.HEALTH_CHECK_FAILED: - return self._updated_copy( - status=DeploymentStatus.UNHEALTHY, - status_trigger=DeploymentStatusTrigger.HEALTH_CHECK_FAILED, - message=message, - ) - elif trigger == DeploymentStatusInternalTrigger.REPLICA_STARTUP_FAILED: - return self._updated_copy( - status=DeploymentStatus.UNHEALTHY, - status_trigger=DeploymentStatusTrigger.REPLICA_STARTUP_FAILED, - message=message, - ) + elif self.status_trigger == DeploymentStatusTrigger.AUTOSCALING: + # Upscale replicas before previous autoscaling has finished + if trigger == DeploymentStatusInternalTrigger.AUTOSCALE_UP: + return self._updated_copy( + status=DeploymentStatus.UPSCALING, + message=message, + ) + # Downscale replicas before previous autoscaling has finished + elif trigger == DeploymentStatusInternalTrigger.AUTOSCALE_DOWN: + return self._updated_copy( + status=DeploymentStatus.DOWNSCALING, + message=message, + ) + # Manually upscale replicas with config update before previous autoscaling has finished + elif ( + trigger + == DeploymentStatusInternalTrigger.MANUALLY_INCREASE_NUM_REPLICAS + ): + return self._updated_copy( + status=DeploymentStatus.UPSCALING, + status_trigger=DeploymentStatusTrigger.CONFIG_UPDATE_STARTED, + message=message, + ) + # Manually downscale replicas with config update before previous autoscaling has finished + elif ( + trigger + == DeploymentStatusInternalTrigger.MANUALLY_DECREASE_NUM_REPLICAS + ): + return self._updated_copy( + status=DeploymentStatus.DOWNSCALING, + status_trigger=DeploymentStatusTrigger.CONFIG_UPDATE_STARTED, + message=message, + ) + + elif self.status_trigger == DeploymentStatusTrigger.CONFIG_UPDATE_STARTED: + # Upscale replicas before previous config update has finished + if ( + trigger + == DeploymentStatusInternalTrigger.MANUALLY_INCREASE_NUM_REPLICAS + ): + return self._updated_copy( + status=DeploymentStatus.UPSCALING, message=message + ) + + # Downscale replicas before previous config update has finished + elif ( + trigger + == DeploymentStatusInternalTrigger.MANUALLY_DECREASE_NUM_REPLICAS + ): + return self._updated_copy( + status=DeploymentStatus.DOWNSCALING, message=message + ) elif self.status == DeploymentStatus.HEALTHY: # Deployment remains healthy diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 95522fe53761..e4cb70117a48 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -1780,6 +1780,10 @@ def deploy(self, deployment_info: DeploymentInfo) -> bool: ) # Determine if the updated target state simply scales the current state. + # Although the else branch handles the CONFIG_UPDATE, we also take this branch + # for a config update whose only effect is changing `num_replicas`. + # Treating it as a scaling event keeps the user-visible deployment status more + # consistent for observability. if self._target_state.is_scaled_copy_of(old_target_state): old_num = old_target_state.target_num_replicas new_num = self._target_state.target_num_replicas diff --git a/python/ray/serve/tests/test_target_capacity.py b/python/ray/serve/tests/test_target_capacity.py index 65a89a5ee18e..9afbeb138653 100644 --- a/python/ray/serve/tests/test_target_capacity.py +++ b/python/ray/serve/tests/test_target_capacity.py @@ -641,7 +641,9 @@ def test_autoscaling_target_capacity_update( self, shutdown_ray_and_serve, client: ServeControllerClient ): """Check Serve's status when target_capacity changes while autoscaling.""" - + # TODO(landscapepainter): This test fails locally due to the stall for replica initialization + # during upscaling and delayed response from serve.status(). It does not fail from + # buildkite, but need to investigate why it fails locally. app_name = "controlled_app" deployment_name = "controlled" min_replicas = 10 @@ -892,6 +894,9 @@ def deploy_config_and_wait_for_target_capacity( def test_initial_replicas_scales_down( self, shutdown_ray_and_serve, client: ServeControllerClient ): + # TODO(landscapepainter): This test fails locally due to the stall for replica initialization + # during upscaling and delayed response from serve.status(). It does not fail from + # buildkite, but need to investigate why it fails locally. deployment_name = "start_at_ten" min_replicas = 5 initial_replicas = 10 @@ -937,6 +942,9 @@ def test_initial_replicas_scales_down( def test_initial_replicas_scales_up_and_down( self, shutdown_ray_and_serve, client: ServeControllerClient ): + # TODO(landscapepainter): This test fails locally due to the stall for replica initialization + # during upscaling and delayed response from serve.status(). It does not fail from + # buildkite, but need to investigate why it fails locally. deployment_name = "start_at_ten" min_replicas = 0 initial_replicas = 10 @@ -1023,6 +1031,9 @@ def test_initial_replicas_zero( def test_initial_replicas_new_configs( self, shutdown_ray_and_serve, client: ServeControllerClient ): + # TODO(landscapepainter): This test fails locally due to the stall for replica initialization + # during upscaling and delayed response from serve.status(). It does not fail from + # buildkite, but need to investigate why it fails locally. deployment_name = "start_at_ten" min_replicas = 0 initial_replicas = 20 From 51f8f15f46da5f5bac0fecfa2fbe4e9641141ad3 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 22 Jul 2025 10:07:42 +0530 Subject: [PATCH 0309/1566] add request id in proxy logs in files (#54657) fixes: https://github.com/ray-project/ray/issues/54400 by adding request_id and other fields in proxy logs in the files. the issue was in the proxy access logs, when we were printing them to the file. before: it has no request id in the logs Screenshot 2025-07-22 at 07 44 12 after: it has request id in the logs Screenshot 2025-07-22 at 07 41 07 --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/logging_utils.py | 2 ++ python/ray/serve/tests/test_logging.py | 41 ++++++++++++++++++++++ 2 files changed, 43 insertions(+) diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 9b63a4a3d6d8..5f0b22b67628 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -370,6 +370,8 @@ def configure_component_logger( if logging_config.enable_access_log is False: file_handler.addFilter(log_access_log_filter) + else: + file_handler.addFilter(ServeContextFilter()) # Remove unwanted attributes from the log record. file_handler.addFilter(ServeLogAttributeRemovalFilter()) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index e9c07268efee..ddfbc45bdc32 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -6,6 +6,7 @@ import string import sys import time +import uuid from contextlib import redirect_stderr from pathlib import Path from typing import List, Tuple @@ -425,6 +426,46 @@ def verify_log_lines( ) +def test_http_access_log_in_proxy_logs_file(serve_instance): + name = "deployment_name" + fastapi_app = FastAPI() + + @serve.deployment(name=name) + @serve.ingress(fastapi_app) + class Handler: + @fastapi_app.get("/") + def get_root(self): + return "Hello World!" + + serve.run(Handler.bind(), logging_config={"encoding": "TEXT"}) + + # Get log file information + nodes = state_api.list_nodes() + serve_log_dir = get_serve_logs_dir() + node_ip_address = nodes[0].node_ip + proxy_log_file_name = get_component_file_name( + "proxy", node_ip_address, component_type=None, suffix=".log" + ) + proxy_log_path = os.path.join(serve_log_dir, proxy_log_file_name) + + url = get_application_url(use_localhost=True) + + request_id = str(uuid.uuid4()) + response = httpx.get(url, headers={"X-Request-ID": request_id}) + assert response.status_code == 200 + + def verify_request_id_in_logs(proxy_log_path, request_id): + with open(proxy_log_path, "r") as f: + for line in f: + if request_id in line: + return True + return False + + wait_for_condition( + verify_request_id_in_logs, proxy_log_path=proxy_log_path, request_id=request_id + ) + + def test_handle_access_log(serve_instance): name = "handler" From fd63fc5476cdbaa446b74dddc84066e7a2a22ead Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Mon, 21 Jul 2025 21:55:37 -0700 Subject: [PATCH 0310/1566] [serve] Add option to configure max_ongoing_requests for throughput microbenchmark (#54784) Signed-off-by: Douglas Strodtman --- .../serve_tests/workloads/microbenchmarks.py | 150 ++++++++---------- 1 file changed, 70 insertions(+), 80 deletions(-) diff --git a/release/serve_tests/workloads/microbenchmarks.py b/release/serve_tests/workloads/microbenchmarks.py index 8c87485a029a..6ccde24344b9 100644 --- a/release/serve_tests/workloads/microbenchmarks.py +++ b/release/serve_tests/workloads/microbenchmarks.py @@ -32,6 +32,7 @@ Streamer, ) from ray.serve._private.common import RequestProtocol +from ray.serve._private.constants import DEFAULT_MAX_ONGOING_REQUESTS from ray.serve._private.test_utils import get_application_url from ray.serve.generated import serve_pb2, serve_pb2_grpc from ray.serve.config import gRPCOptions @@ -116,6 +117,13 @@ def convert_latencies_to_perf_metrics(name: str, latencies: pd.Series) -> List[D ] +def get_throughput_test_name(test_type: str, max_ongoing_requests: int) -> str: + if max_ongoing_requests == DEFAULT_MAX_ONGOING_REQUESTS: + return test_type + else: + return f"{test_type}_{max_ongoing_requests:_}_max_ongoing_requests" + + async def _main( output_path: Optional[str], run_http: bool, @@ -124,6 +132,7 @@ async def _main( run_latency: bool, run_throughput: bool, run_streaming: bool, + throughput_max_ongoing_requests: List[int], ): perf_metrics = [] payload_1mb = generate_payload(1000000) @@ -148,32 +157,22 @@ async def _main( if run_throughput: # Microbenchmark: HTTP throughput - serve.run(Noop.bind()) - url = get_application_url(use_localhost=True) - mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_http_batch, batch_size=BATCH_SIZE, url=url), - multiplier=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend(convert_throughput_to_perf_metrics("http", mean, std)) - serve.shutdown() - - # Microbenchmark: HTTP throughput at max_ongoing_requests=100 - serve.run(Noop.options(max_ongoing_requests=100).bind()) - url = get_application_url(use_localhost=True) - mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_http_batch, batch_size=BATCH_SIZE, url=url), - multiplier=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend( - convert_throughput_to_perf_metrics( - "http_100_max_ongoing_requests", mean, std + for max_ongoing_requests in throughput_max_ongoing_requests: + serve.run( + Noop.options(max_ongoing_requests=max_ongoing_requests).bind() ) - ) - serve.shutdown() + url = get_application_url(use_localhost=True) + mean, std, _ = await run_throughput_benchmark( + fn=partial(do_single_http_batch, batch_size=BATCH_SIZE, url=url), + multiplier=BATCH_SIZE, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, + ) + test_name = get_throughput_test_name("http", max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() if run_streaming: # Direct streaming between replica @@ -280,38 +279,29 @@ async def _main( if run_throughput: # Microbenchmark: GRPC throughput - serve.start(grpc_options=serve_grpc_options) - serve.run(GrpcDeployment.bind()) - target = get_application_url( - protocol=RequestProtocol.GRPC, use_localhost=True - ) - mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_grpc_batch, batch_size=BATCH_SIZE, target=target), - multiplier=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend(convert_throughput_to_perf_metrics("grpc", mean, std)) - serve.shutdown() - - # Microbenchmark: GRPC throughput at max_ongoing_requests = 100 - serve.start(grpc_options=serve_grpc_options) - serve.run(GrpcDeployment.options(max_ongoing_requests=100).bind()) - target = get_application_url( - protocol=RequestProtocol.GRPC, use_localhost=True - ) - mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_grpc_batch, batch_size=BATCH_SIZE, target=target), - multiplier=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend( - convert_throughput_to_perf_metrics( - "grpc_100_max_ongoing_requests", mean, std + for max_ongoing_requests in throughput_max_ongoing_requests: + serve.start(grpc_options=serve_grpc_options) + serve.run( + GrpcDeployment.options( + max_ongoing_requests=max_ongoing_requests + ).bind() ) - ) - serve.shutdown() + target = get_application_url( + protocol=RequestProtocol.GRPC, use_localhost=True + ) + mean, std, _ = await run_throughput_benchmark( + fn=partial( + do_single_grpc_batch, batch_size=BATCH_SIZE, target=target + ), + multiplier=BATCH_SIZE, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, + ) + test_name = get_throughput_test_name("grpc", max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() # Handle if run_handle: @@ -330,32 +320,22 @@ async def _main( if run_throughput: # Microbenchmark: Handle throughput - h: DeploymentHandle = serve.run(Benchmarker.bind(Noop.bind())) - mean, std, _ = await h.run_throughput_benchmark.remote( - batch_size=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend(convert_throughput_to_perf_metrics("handle", mean, std)) - serve.shutdown() - - # Microbenchmark: Handle throughput at max_ongoing_requests=100 - h: DeploymentHandle = serve.run( - Benchmarker.options(max_ongoing_requests=100).bind( - Noop.options(max_ongoing_requests=100).bind() + for max_ongoing_requests in throughput_max_ongoing_requests: + h: DeploymentHandle = serve.run( + Benchmarker.options(max_ongoing_requests=max_ongoing_requests).bind( + Noop.options(max_ongoing_requests=max_ongoing_requests).bind() + ) ) - ) - mean, std, _ = await h.run_throughput_benchmark.remote( - batch_size=BATCH_SIZE, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - perf_metrics.extend( - convert_throughput_to_perf_metrics( - "handle_100_max_ongoing_requests", mean, std + mean, std, _ = await h.run_throughput_benchmark.remote( + batch_size=BATCH_SIZE, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, ) - ) - serve.shutdown() + test_name = get_throughput_test_name("handle", max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() if run_streaming: h: DeploymentHandle = serve.run( @@ -398,6 +378,14 @@ async def _main( @click.option("--run-latency", is_flag=True) @click.option("--run-throughput", is_flag=True) @click.option("--run-streaming", is_flag=True) +@click.option( + "--throughput-max-ongoing-requests", + "-t", + multiple=True, + type=int, + default=[5, 100], + help="Max ongoing requests for throughput benchmarks. Default: [5, 100]", +) def main( output_path: Optional[str], run_all: bool, @@ -407,6 +395,7 @@ def main( run_latency: bool, run_throughput: bool, run_streaming: bool, + throughput_max_ongoing_requests: List[int], ): # If none of the flags are set, default to run all if not ( @@ -436,6 +425,7 @@ def main( run_latency, run_throughput, run_streaming, + throughput_max_ongoing_requests, ) ) From 6e023a190abc4ec6aae430fa3152e5597958a4c9 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Tue, 22 Jul 2025 13:16:54 +0800 Subject: [PATCH 0311/1566] [Core] Fixed the bug where the head was unable to submit tasks after redis is turned on. (#54267) Signed-off-by: Ping Dai Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/node/node_head.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/node/node_head.py b/python/ray/dashboard/modules/node/node_head.py index d4a628ef553f..bc696afc343f 100644 --- a/python/ray/dashboard/modules/node/node_head.py +++ b/python/ray/dashboard/modules/node/node_head.py @@ -152,6 +152,8 @@ def __init__(self, *args, **kwargs): # The time it takes until the head node is registered. None means # head node hasn't been registered. self._head_node_registration_time_s = None + # The node ID of the current head node + self._registered_head_node_id = None # Queue of dead nodes to be removed, up to MAX_DEAD_NODES_TO_CACHE self._dead_node_queue = deque() @@ -233,7 +235,19 @@ def _convert_to_dict(messages: Iterable[gcs_pb2.GcsNodeInfo]) -> List[dict]: async def _update_node(self, node: dict): node_id = node["nodeId"] # hex - if node["isHeadNode"] and not self._head_node_registration_time_s: + if ( + node["isHeadNode"] + and node["state"] == "ALIVE" + and self._registered_head_node_id != node_id + ): + if self._registered_head_node_id is not None: + logger.warning( + "A new head node has become ALIVE. New head node ID: %s, old head node ID: %s, internal states: %s", + node_id, + self._registered_head_node_id, + self.get_internal_states(), + ) + self._registered_head_node_id = node_id self._head_node_registration_time_s = time.time() - self._module_start_time # Put head node ID in the internal KV to be read by JobAgent. # TODO(architkulkarni): Remove once State API exposes which From 031fca594fdd2ce1a7864ee9f56a426adebf32d7 Mon Sep 17 00:00:00 2001 From: Lester Wang <38121764+LeslieWongCV@users.noreply.github.com> Date: Tue, 22 Jul 2025 13:19:10 +0800 Subject: [PATCH 0312/1566] [Core] Fix bug in dashboard by replacing invalid pathlib.posixpath.realpath with posixpath.realpath (#54523) Signed-off-by: Lester Wang <38121764+LeslieWongCV@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/dashboard/http_server_head.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/python/ray/dashboard/http_server_head.py b/python/ray/dashboard/http_server_head.py index 4acb919cbf72..933f55b5627b 100644 --- a/python/ray/dashboard/http_server_head.py +++ b/python/ray/dashboard/http_server_head.py @@ -4,6 +4,7 @@ import logging import os import pathlib +import posixpath import sys import time from math import floor @@ -170,9 +171,7 @@ async def path_clean_middleware(self, request, handler): # If the destination is not relative to the expected directory, # then the user is attempting path traversal, so deny the request. - request_path = pathlib.PurePosixPath( - pathlib.posixpath.realpath(request.path) - ) + request_path = pathlib.PurePosixPath(posixpath.realpath(request.path)) if request_path != parent and parent not in request_path.parents: logger.info( f"Rejecting {request_path=} because it is not relative to {parent=}" From aca7aad7fb3ded86a98d06fbaaa3a6428773fb0b Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Tue, 22 Jul 2025 09:00:43 -0700 Subject: [PATCH 0313/1566] [Core] Add NodeAffinitySchedulingStrategy Attributes Validation in API Layer (#54577) Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- .../unit/test_node_affinity_validation.py | 29 +++++++++++++++++++ python/ray/util/scheduling_strategies.py | 16 ++++++++++ 2 files changed, 45 insertions(+) create mode 100644 python/ray/tests/unit/test_node_affinity_validation.py diff --git a/python/ray/tests/unit/test_node_affinity_validation.py b/python/ray/tests/unit/test_node_affinity_validation.py new file mode 100644 index 000000000000..88d93c3c6ba4 --- /dev/null +++ b/python/ray/tests/unit/test_node_affinity_validation.py @@ -0,0 +1,29 @@ +import pytest +import sys + +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy + + +def test_node_affinity_scheduling_strategy_invalid_attributes(): + with pytest.raises( + ValueError, + match="Invalid NodeAffinitySchedulingStrategy attribute. " + "_spill_on_unavailable cannot be set when soft is False. " + "Please set soft to True to use _spill_on_unavailable.", + ): + NodeAffinitySchedulingStrategy( + node_id="123", soft=False, _spill_on_unavailable=True + ) + with pytest.raises( + ValueError, + match="Invalid NodeAffinitySchedulingStrategy attribute. " + "_fail_on_unavailable cannot be set when soft is True. " + "Please set soft to False to use _fail_on_unavailable.", + ): + NodeAffinitySchedulingStrategy( + node_id="123", soft=True, _fail_on_unavailable=True + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-vv", __file__])) diff --git a/python/ray/util/scheduling_strategies.py b/python/ray/util/scheduling_strategies.py index b283aed50465..b9953094a9c1 100644 --- a/python/ray/util/scheduling_strategies.py +++ b/python/ray/util/scheduling_strategies.py @@ -71,6 +71,22 @@ def __init__( self._spill_on_unavailable = _spill_on_unavailable self._fail_on_unavailable = _fail_on_unavailable + self._validate_attributes() + + def _validate_attributes(self): + if self._spill_on_unavailable and not self.soft: + raise ValueError( + "Invalid NodeAffinitySchedulingStrategy attribute. " + "_spill_on_unavailable cannot be set when soft is " + "False. Please set soft to True to use _spill_on_unavailable." + ) + if self._fail_on_unavailable and self.soft: + raise ValueError( + "Invalid NodeAffinitySchedulingStrategy attribute. " + "_fail_on_unavailable cannot be set when soft is " + "True. Please set soft to False to use _fail_on_unavailable." + ) + def _validate_label_match_operator_values(values, operator): if not values: From 1e49cfaae425bb716b42410b7b6615a18b3fed0f Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 22 Jul 2025 09:14:17 -0700 Subject: [PATCH 0314/1566] [core] Unnecessary node manager client (#54803) There were 3 node manager clients NodeManagerClient, NodeManagerWorkerClient, and RayletClient. They all basically do the same thing. RayletClient is the only one we need. This PR kills NodeManagerClient, simplifies NodeManagerWorkerClient and basically boxes NodeManagerWorkerClient inside RayletClient as an implementation detail so callers don't need to be aware of NodeManagerWorkerClient. Makes everything inside NodeManagerWorkerClient private and just makes RayletClient a friend so it's the only thing that can actually use it. Later hopefully we can kill NodeManagerWorkerClient entirely but that requires renaming a lot of functions. Doing this so that everything consistently uses RayletClient and we can use raylet client pools everywhere and turn the RayletClient into a retryable grpc client with a lifetime controlled by the pool like the core worker clients. There were also a lot of unnecessary copies around HandleFormatGlobalMemoryInfo GetNodeStats so cleaned those up. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 41 ++++---- src/ray/core_worker/core_worker_process.cc | 3 +- src/ray/gcs/gcs_server/gcs_server.h | 2 +- src/ray/raylet/main.cc | 12 +-- src/ray/raylet/node_manager.cc | 41 ++++---- src/ray/raylet/worker_pool.cc | 8 +- src/ray/raylet_client/raylet_client.cc | 20 +++- src/ray/raylet_client/raylet_client.h | 34 ++++--- .../rpc/node_manager/node_manager_client.h | 93 ++++--------------- .../node_manager/node_manager_client_pool.h | 25 ++--- 10 files changed, 120 insertions(+), 159 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index fbde8d6aff57..631b7a7a9fbf 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -418,16 +418,6 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) task_event_buffer_ = std::make_unique( std::make_shared(options_.gcs_options)); - // Initialize raylet client. - // NOTE(edoakes): the core_worker_server_ must be running before registering with - // the raylet, as the raylet will start sending some RPC messages immediately. - // TODO(zhijunfu): currently RayletClient would crash in its constructor if it cannot - // connect to Raylet after a number of retries, this can be changed later - // so that the worker (java/python .etc) can retrieve and handle the error - // instead of crashing. - auto grpc_client = rpc::NodeManagerWorkerClient::make( - options_.raylet_ip_address, options_.node_manager_port, *client_call_manager_); - if (options_.worker_type != WorkerType::DRIVER) { periodical_runner_->RunFnPeriodically( [this] { ExitIfParentRayletDies(); }, @@ -496,8 +486,19 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) RAY_CHECK_GE(assigned_port, 0); } - local_raylet_client_ = std::make_shared( - std::move(raylet_conn), std::move(grpc_client), GetWorkerID()); + // Initialize raylet client. + // NOTE(edoakes): the core_worker_server_ must be running before registering with + // the raylet, as the raylet will start sending some RPC messages immediately. + // TODO(zhijunfu): currently RayletClient would crash in its constructor if it cannot + // connect to Raylet after a number of retries, this can be changed later + // so that the worker (java/python .etc) can retrieve and handle the error + // instead of crashing. + local_raylet_client_ = + std::make_shared(std::move(raylet_conn), + options_.raylet_ip_address, + options_.node_manager_port, + *client_call_manager_, + GetWorkerID()); connected_ = true; // Initialize task receivers. @@ -565,8 +566,7 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) core_worker_client_pool_.get(), [this](const std::string &node_manager_address, int32_t port) { return std::make_shared( - rpc::NodeManagerWorkerClient::make( - node_manager_address, port, *client_call_manager_)); + node_manager_address, port, *client_call_manager_); }, addr)); }); @@ -678,11 +678,9 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) [this](const NodeID &node_id, rpc::ClientCallManager &client_call_manager) { auto node_info = gcs_client_->Nodes().Get(node_id); RAY_CHECK(node_info) << "No GCS info for node " << node_id; - auto grpc_client = - rpc::NodeManagerWorkerClient::make(node_info->node_manager_address(), - node_info->node_manager_port(), - client_call_manager); - return std::make_shared(std::move(grpc_client)); + return std::make_shared(node_info->node_manager_address(), + node_info->node_manager_port(), + client_call_manager); }; experimental_mutable_object_provider_ = std::make_shared( @@ -779,9 +777,8 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) } auto raylet_client_factory = [this](const std::string &ip_address, int port) { - auto grpc_client = - rpc::NodeManagerWorkerClient::make(ip_address, port, *client_call_manager_); - return std::make_shared(std::move(grpc_client)); + return std::make_shared( + ip_address, port, *client_call_manager_); }; auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 0b938bfaac00..317b7eb48ad4 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -269,9 +269,8 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { boost::asio::executor_work_guard work( io_service.get_executor()); rpc::ClientCallManager client_call_manager(io_service, /*record_stats=*/false); - auto grpc_client = rpc::NodeManagerWorkerClient::make( + raylet::RayletClient raylet_client( options_.raylet_ip_address, options_.node_manager_port, client_call_manager); - raylet::RayletClient raylet_client(grpc_client); std::function get_once = [this, &get_once, diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index a74651c70c43..957d94f9d5a5 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -228,7 +228,7 @@ class GcsServer { const StorageType storage_type_; /// The grpc server rpc::GrpcServer rpc_server_; - /// The `ClientCallManager` object that is shared by all `NodeManagerWorkerClient`s. + /// The `ClientCallManager` object that is shared by all `RayletClient`s. rpc::ClientCallManager client_call_manager_; /// Node manager client pool. std::unique_ptr raylet_client_pool_; diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 1a2b1a82a702..3abc819384dd 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -551,8 +551,7 @@ int main(int argc, char *argv[]) { worker_rpc_pool.get(), [&](const std::string &node_manager_address, int32_t port) { return std::make_shared( - ray::rpc::NodeManagerWorkerClient::make( - node_manager_address, port, *client_call_manager)); + node_manager_address, port, *client_call_manager); }, addr)); }); @@ -772,11 +771,10 @@ int main(int argc, char *argv[]) { ray::rpc::ClientCallManager &client_call_manager) { const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); RAY_CHECK(node_info) << "No GCS info for node " << node_id; - std::shared_ptr raylet_client = - ray::rpc::NodeManagerWorkerClient::make(node_info->node_manager_address(), - node_info->node_manager_port(), - client_call_manager); - return std::make_shared(std::move(raylet_client)); + return std::make_shared( + node_info->node_manager_address(), + node_info->node_manager_port(), + client_call_manager); }; plasma_client = std::make_unique(); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 65735b2523a7..3b6a83ae031c 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2515,7 +2515,7 @@ void NodeManager::HandleGetNodeStats(rpc::GetNodeStatsRequest node_stats_request // workers have replied. auto all_workers = worker_pool_.GetAllRegisteredWorkers(/* filter_dead_worker */ true); absl::flat_hash_set driver_ids; - for (auto driver : + for (const auto &driver : worker_pool_.GetAllRegisteredDrivers(/* filter_dead_driver */ true)) { all_workers.push_back(driver); driver_ids.insert(driver->WorkerId()); @@ -2544,11 +2544,13 @@ void NodeManager::HandleGetNodeStats(rpc::GetNodeStatsRequest node_stats_request } } +namespace { + rpc::ObjectStoreStats AccumulateStoreStats( - std::vector node_stats) { + const std::vector &node_stats) { rpc::ObjectStoreStats store_stats; for (const auto &reply : node_stats) { - auto cur_store = reply.store_stats(); + const auto &cur_store = reply.store_stats(); // Use max aggregation for time, since the nodes are spilling concurrently. store_stats.set_spill_time_total_s( std::max(store_stats.spill_time_total_s(), cur_store.spill_time_total_s())); @@ -2588,7 +2590,7 @@ rpc::ObjectStoreStats AccumulateStoreStats( return store_stats; } -std::string FormatMemoryInfo(std::vector node_stats) { +std::string FormatMemoryInfo(const std::vector &node_stats) { // First pass to compute object sizes. absl::flat_hash_map object_sizes; for (const auto &reply : node_stats) { @@ -2667,6 +2669,8 @@ std::string FormatMemoryInfo(std::vector node_stats) { return builder.str(); } +} // namespace + void NodeManager::HandleFormatGlobalMemoryInfo( rpc::FormatGlobalMemoryInfoRequest request, rpc::FormatGlobalMemoryInfoReply *reply, @@ -2683,8 +2687,8 @@ void NodeManager::HandleFormatGlobalMemoryInfo( auto store_reply = [replies, reply, num_nodes, send_reply_callback, include_memory_info]( - const rpc::GetNodeStatsReply &local_reply) { - replies->push_back(local_reply); + rpc::GetNodeStatsReply &&local_reply) { + replies->push_back(std::move(local_reply)); if (replies->size() >= num_nodes) { if (include_memory_info) { reply->set_memory_summary(FormatMemoryInfo(*replies)); @@ -2695,18 +2699,17 @@ void NodeManager::HandleFormatGlobalMemoryInfo( }; // Fetch from remote nodes. - for (const auto &entry : remote_node_manager_addresses_) { - auto client = std::make_unique( - entry.second.first, entry.second.second, client_call_manager_); - client->GetNodeStats(stats_req, - [replies, store_reply](const ray::Status &status, - const rpc::GetNodeStatsReply &r) { - if (!status.ok()) { - RAY_LOG(ERROR) << "Failed to get remote node stats: " - << status.ToString(); - } - store_reply(r); - }); + for (const auto &[node_id, address] : remote_node_manager_addresses_) { + auto client = std::make_shared( + /*address=*/address.first, /*port=*/address.second, client_call_manager_); + client->GetNodeStats( + stats_req, + [replies, store_reply](const ray::Status &status, rpc::GetNodeStatsReply &&r) { + if (!status.ok()) { + RAY_LOG(ERROR) << "Failed to get remote node stats: " << status.ToString(); + } + store_reply(std::move(r)); + }); } // Fetch from the local node. @@ -2715,7 +2718,7 @@ void NodeManager::HandleFormatGlobalMemoryInfo( [local_reply, store_reply](Status status, std::function success, std::function failure) mutable { - store_reply(*local_reply); + store_reply(std::move(*local_reply)); }); } diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index cb30f8e2ba19..caefa8daf69a 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -45,6 +45,10 @@ DEFINE_stats(worker_register_time_ms, ({1, 10, 100, 1000, 10000}), ray::stats::HISTOGRAM); +namespace ray { + +namespace raylet { + namespace { std::shared_ptr GetWorker( @@ -84,10 +88,6 @@ bool OptionalsMatchOrEitherEmpty(const std::optional &ask, } // namespace -namespace ray { - -namespace raylet { - WorkerPool::WorkerPool(instrumented_io_context &io_service, const NodeID &node_id, std::string node_address, diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index e811f9e21b28..52d8e8daa7a9 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -56,13 +56,19 @@ AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, namespace ray::raylet { -RayletClient::RayletClient(std::shared_ptr grpc_client) - : grpc_client_(std::move(grpc_client)) {} +RayletClient::RayletClient(const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager) + : grpc_client_(std::shared_ptr( + new rpc::NodeManagerClient(address, port, client_call_manager))) {} RayletClient::RayletClient(std::unique_ptr raylet_conn, - std::shared_ptr grpc_client, + const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager, const WorkerID &worker_id) - : grpc_client_(std::move(grpc_client)), + : grpc_client_(std::shared_ptr( + new rpc::NodeManagerClient(address, port, client_call_manager))), worker_id_(worker_id), conn_(std::move(raylet_conn)) {} @@ -551,4 +557,10 @@ void RayletClient::GetSystemConfig( grpc_client_->GetSystemConfig(request, callback); } +void RayletClient::GetNodeStats( + const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback) { + grpc_client_->GetNodeStats(request, callback); +} + } // namespace ray::raylet diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 0cf18a4645c5..581ad9382774 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -121,7 +121,7 @@ class WorkerLeaseInterface { const TaskID &task_id, const ray::rpc::ClientCallback &callback) = 0; - virtual ~WorkerLeaseInterface(){}; + virtual ~WorkerLeaseInterface() = default; }; /// Interface for leasing resource. @@ -154,7 +154,7 @@ class ResourceReserveInterface { const std::vector &bundles_in_use, const rpc::ClientCallback &callback) = 0; - virtual ~ResourceReserveInterface(){}; + virtual ~ResourceReserveInterface() = default; }; /// Interface for waiting dependencies. Abstract for testing. @@ -169,7 +169,7 @@ class DependencyWaiterInterface { virtual ray::Status WaitForActorCallArgs( const std::vector &references, int64_t tag) = 0; - virtual ~DependencyWaiterInterface(){}; + virtual ~DependencyWaiterInterface() = default; }; /// Interface for getting resource reports. @@ -178,11 +178,13 @@ class ResourceTrackingInterface { virtual void GetResourceLoad( const rpc::ClientCallback &callback) = 0; - virtual ~ResourceTrackingInterface(){}; + virtual ~ResourceTrackingInterface() = default; }; class MutableObjectReaderInterface { public: + virtual ~MutableObjectReaderInterface() = default; + /// Registers a mutable object on this node so that it can be read. Writes are performed /// on a remote node. This local node creates a mapping from `object_id` -> /// `reader_ref`. @@ -231,8 +233,6 @@ class RayletClientInterface : public PinObjectsInterface, public ResourceTrackingInterface, public MutableObjectReaderInterface { public: - virtual ~RayletClientInterface(){}; - /// Get the system config from Raylet. /// \param callback Callback that will be called after raylet replied the system config. virtual void GetSystemConfig( @@ -292,13 +292,17 @@ class RayletClient : public RayletClientInterface { /// \param startup_token The startup token of the process assigned to /// it during startup as a command line argument. RayletClient(std::unique_ptr raylet_conn, - std::shared_ptr grpc_client, + const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager, const WorkerID &worker_id); /// Connect to the raylet via grpc only. /// /// \param grpc_client gRPC client to the raylet. - explicit RayletClient(std::shared_ptr grpc_client); + explicit RayletClient(const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager); /// Notify the raylet that this client is disconnecting gracefully. This /// is used by actors to exit gracefully so that the raylet doesn't @@ -536,10 +540,13 @@ class RayletClient : public RayletClientInterface { int64_t GetPinsInFlight() const { return pins_in_flight_.load(); } + void GetNodeStats(const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback); + private: - /// gRPC client to the raylet. Right now, this is only used for a couple - /// request types. - std::shared_ptr grpc_client_; + /// gRPC client to the NodeManagerService. + std::shared_ptr grpc_client_; + const WorkerID worker_id_; /// A map from resource name to the resource IDs that are currently reserved @@ -550,10 +557,7 @@ class RayletClient : public RayletClientInterface { std::unique_ptr conn_; /// The number of object ID pin RPCs currently in flight. - std::atomic pins_in_flight_{0}; - - protected: - RayletClient() {} + std::atomic pins_in_flight_ = 0; }; } // namespace raylet diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/rpc/node_manager/node_manager_client.h index 140c0d54dc6c..deaf9fa0b139 100644 --- a/src/ray/rpc/node_manager/node_manager_client.h +++ b/src/ray/rpc/node_manager/node_manager_client.h @@ -27,111 +27,75 @@ #include "src/ray/protobuf/node_manager.pb.h" namespace ray { + +namespace raylet { +class RayletClient; +} + namespace rpc { -/// Client used for communicating with a remote node manager server. +/// TODO(dayshah): https://github.com/ray-project/ray/issues/54816 Kill this completely. +/// This class is only used by the RayletClient which is just a wrapper around this. This +/// exists for the legacy reason that all the function definitions in RayletClient have to +/// change if you move the things in here into RayletClient. class NodeManagerClient { public: - /// Constructor. - /// - /// \param[in] address Address of the node manager server. - /// \param[in] port Port of the node manager server. - /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - NodeManagerClient(const std::string &address, - const int port, - ClientCallManager &client_call_manager) { - grpc_client_ = std::make_unique>( - address, port, client_call_manager); - }; - - /// Get current node stats. - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetNodeStats, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - void GetNodeStats(const ClientCallback &callback) { - GetNodeStatsRequest request; - GetNodeStats(request, callback); - } - - std::shared_ptr Channel() const { return grpc_client_->Channel(); } + friend class raylet::RayletClient; private: - /// The RPC client. - std::unique_ptr> grpc_client_; -}; - -/// Client used by workers for communicating with a node manager server. -class NodeManagerWorkerClient - : public std::enable_shared_from_this { - public: /// Constructor. /// /// \param[in] address Address of the node manager server. /// \param[in] port Port of the node manager server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - static std::shared_ptr make( - const std::string &address, - const int port, - ClientCallManager &client_call_manager) { - // C++ limitation: std::make_shared cannot be used because std::shared_ptr cannot - // invoke private constructors. - auto instance = new NodeManagerWorkerClient(address, port, client_call_manager); - return std::shared_ptr(instance); - } + NodeManagerClient(const std::string &address, + const int port, + ClientCallManager &client_call_manager) + : grpc_client_{std::make_unique>( + address, port, client_call_manager)} {} std::shared_ptr Channel() const { return grpc_client_->Channel(); } - /// Get a resource load VOID_RPC_CLIENT_METHOD(NodeManagerService, GetResourceLoad, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Cancel tasks with certain resource shapes VOID_RPC_CLIENT_METHOD(NodeManagerService, CancelTasksWithResourceShapes, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Notify GCS restart. VOID_RPC_CLIENT_METHOD(NodeManagerService, NotifyGCSRestart, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Request a worker lease. VOID_RPC_CLIENT_METHOD(NodeManagerService, RequestWorkerLease, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Request a prestart worker. VOID_RPC_CLIENT_METHOD(NodeManagerService, PrestartWorkers, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Report task backlog information VOID_RPC_CLIENT_METHOD(NodeManagerService, ReportWorkerBacklog, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Return a worker lease. VOID_RPC_CLIENT_METHOD(NodeManagerService, ReturnWorker, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Release unused workers. VOID_RPC_CLIENT_METHOD(NodeManagerService, ReleaseUnusedActorWorkers, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Shutdown the raylet gracefully. VOID_RPC_CLIENT_METHOD(NodeManagerService, ShutdownRaylet, grpc_client_, @@ -147,49 +111,41 @@ class NodeManagerWorkerClient grpc_client_, /*method_timeout_ms*/ -1, ) - /// Cancel a pending worker lease request. VOID_RPC_CLIENT_METHOD(NodeManagerService, CancelWorkerLease, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Request prepare resources for an atomic placement group creation. VOID_RPC_CLIENT_METHOD(NodeManagerService, PrepareBundleResources, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Request commit resources for an atomic placement group creation. VOID_RPC_CLIENT_METHOD(NodeManagerService, CommitBundleResources, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Return resource lease. VOID_RPC_CLIENT_METHOD(NodeManagerService, CancelResourceReserve, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Notify the raylet to pin the provided object IDs. VOID_RPC_CLIENT_METHOD(NodeManagerService, PinObjectIDs, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Trigger global GC across the cluster. VOID_RPC_CLIENT_METHOD(NodeManagerService, GlobalGC, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Release unused bundles. VOID_RPC_CLIENT_METHOD(NodeManagerService, ReleaseUnusedBundles, grpc_client_, /*method_timeout_ms*/ -1, ) - /// Get the system config from Raylet. VOID_RPC_CLIENT_METHOD(NodeManagerService, GetSystemConfig, grpc_client_, @@ -216,20 +172,11 @@ class NodeManagerWorkerClient grpc_client_, /*method_timeout_ms*/ -1, ) - private: - /// Constructor. - /// - /// \param[in] address Address of the node manager server. - /// \param[in] port Port of the node manager server. - /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - NodeManagerWorkerClient(const std::string &address, - const int port, - ClientCallManager &client_call_manager) { - grpc_client_ = std::make_unique>( - address, port, client_call_manager); - }; - - /// The RPC client. + VOID_RPC_CLIENT_METHOD(NodeManagerService, + GetNodeStats, + grpc_client_, + /*method_timeout_ms*/ -1, ) + std::unique_ptr> grpc_client_; }; diff --git a/src/ray/rpc/node_manager/node_manager_client_pool.h b/src/ray/rpc/node_manager/node_manager_client_pool.h index 9e077071edf7..7dfe160dd35b 100644 --- a/src/ray/rpc/node_manager/node_manager_client_pool.h +++ b/src/ray/rpc/node_manager/node_manager_client_pool.h @@ -15,6 +15,7 @@ #pragma once #include +#include #include "absl/base/thread_annotations.h" #include "absl/container/flat_hash_map.h" @@ -31,14 +32,12 @@ using RayletClientFactoryFn = std::function(const rpc::Address &)>; class NodeManagerClientPool { public: - NodeManagerClientPool() = delete; - - /// Return an existing NodeManagerWorkerClient if exists, and connect to one if it does + /// Return an existing RayletClient if exists or connect to one if it does /// not. The returned pointer is borrowed, and expected to be used briefly. std::optional> GetOrConnectByID( ray::NodeID id); - /// Return an existing NodeManagerWorkerClient if exists, and connect to one if it does + /// Return an existing RayletClient if exists or connect to one if it does /// not. The returned pointer is borrowed, and expected to be used briefly. /// The function is guaranteed to return the non-nullptr. std::shared_ptr GetOrConnectByAddress( @@ -49,30 +48,32 @@ class NodeManagerClientPool { /// be open until it's no longer used, at which time it will disconnect. void Disconnect(ray::NodeID id); - explicit NodeManagerClientPool(rpc::ClientCallManager &ccm) - : client_factory_(defaultClientFactory(ccm)){}; + explicit NodeManagerClientPool(rpc::ClientCallManager &client_call_manager) + : client_factory_(DefaultClientFactory(client_call_manager)){}; + // For testing. explicit NodeManagerClientPool(RayletClientFactoryFn client_factory) - : client_factory_(client_factory){}; + : client_factory_(std::move(client_factory)){}; private: /// Provides the default client factory function. Providing this function to the /// construtor aids migration but is ultimately a thing that should be /// deprecated and brought internal to the pool, so this is our bridge. - RayletClientFactoryFn defaultClientFactory(rpc::ClientCallManager &ccm) const { + RayletClientFactoryFn DefaultClientFactory( + rpc::ClientCallManager &client_call_manager) const { return [&](const rpc::Address &addr) { - auto nm_client = NodeManagerWorkerClient::make(addr.ip_address(), addr.port(), ccm); std::shared_ptr raylet_client = - std::make_shared(nm_client); + std::make_shared( + addr.ip_address(), addr.port(), client_call_manager); return raylet_client; }; }; absl::Mutex mu_; - /// This factory function does the connection to NodeManagerWorkerClient, and is + /// This factory function makes the connection to the NodeManagerService, and is /// provided by the constructor (either the default implementation, above, or a - /// provided one) + /// provided one). RayletClientFactoryFn client_factory_; /// A pool of open connections by host:port. Clients can reuse the connection From 28bcd658a6633e54ba65d60af443dce31b57595c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 22 Jul 2025 09:45:31 -0700 Subject: [PATCH 0315/1566] [core] combine python protobuf compiles rules (#54810) just use serve and core; stop pretending that we have separate packages. removes all unused python compile rules Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 32 ++----- src/ray/protobuf/BUILD | 199 ++++++++--------------------------------- 2 files changed, 44 insertions(+), 187 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 2817c34ac189..078eda8c97a4 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -1013,31 +1013,15 @@ alias( ) filegroup( - name = "all_py_proto", - srcs = [ - "//src/ray/protobuf:autoscaler_py_proto", - "//src/ray/protobuf:common_py_proto", - "//src/ray/protobuf:core_worker_py_proto", - "//src/ray/protobuf:event_py_proto", - "//src/ray/protobuf:events_event_aggregator_service_py_proto", - "//src/ray/protobuf:export_event_py_proto", - "//src/ray/protobuf:gcs_py_proto", - "//src/ray/protobuf:gcs_service_py_proto", - "//src/ray/protobuf:instance_manager_py_proto", - "//src/ray/protobuf:node_manager_py_proto", - "//src/ray/protobuf:ray_client_py_proto", - "//src/ray/protobuf:reporter_py_proto", - "//src/ray/protobuf:runtime_env_agent_py_proto", - "//src/ray/protobuf:runtime_env_common_py_proto", - "//src/ray/protobuf:usage_py_proto", - ], + name = "core_py_proto", + srcs = ["//src/ray/protobuf:core_py_proto"], + visibility = ["//visibility:private"], ) filegroup( name = "serve_py_proto", - srcs = [ - "//src/ray/protobuf:serve_py_proto", - ], + srcs = ["//src/ray/protobuf:serve_py_proto"], + visibility = ["//visibility:private"], ) # This is a dummy test dependency that causes the python tests to be @@ -1058,8 +1042,8 @@ copy_to_workspace( ) copy_to_workspace( - name = "cp_all_py_proto", - srcs = [":all_py_proto"], + name = "cp_core_py_proto", + srcs = [":core_py_proto"], dstdir = "python/ray/core/generated", ) @@ -1099,7 +1083,7 @@ copy_to_workspace( genrule( name = "install_py_proto", srcs = [ - ":cp_all_py_proto", + ":cp_core_py_proto", ":cp_serve_py_proto", ], outs = ["install_py_proto.out"], diff --git a/src/ray/protobuf/BUILD b/src/ray/protobuf/BUILD index ae78cb269089..d45cb48fd04d 100644 --- a/src/ray/protobuf/BUILD +++ b/src/ray/protobuf/BUILD @@ -18,11 +18,6 @@ cc_proto_library( deps = [":common_proto"], ) -python_grpc_compile( - name = "common_py_proto", - deps = [":common_proto"], -) - proto_library( name = "gcs_proto", srcs = ["gcs.proto"], @@ -38,11 +33,6 @@ proto_library( srcs = ["instance_manager.proto"], ) -python_grpc_compile( - name = "instance_manager_py_proto", - deps = [":instance_manager_proto"], -) - cc_proto_library( name = "instance_manager_cc_proto", deps = [":instance_manager_proto"], @@ -69,32 +59,17 @@ cc_proto_library( deps = [":runtime_env_common_proto"], ) -python_grpc_compile( - name = "runtime_env_common_py_proto", - deps = [":runtime_env_common_proto"], -) - cc_proto_library( name = "gcs_cc_proto", deps = [":gcs_proto"], ) -python_grpc_compile( - name = "gcs_py_proto", - deps = [":gcs_proto"], -) - # Function and class dependencies. proto_library( name = "dependency_proto", srcs = ["dependency.proto"], ) -python_grpc_compile( - name = "dependency_py_proto", - deps = [":dependency_proto"], -) - # Text logging. proto_library( name = "logging_proto", @@ -106,11 +81,6 @@ cc_proto_library( deps = [":logging_proto"], ) -python_grpc_compile( - name = "logging_py_proto", - deps = [":logging_proto"], -) - proto_library( name = "node_manager_proto", srcs = ["node_manager.proto"], @@ -127,11 +97,6 @@ cc_proto_library( deps = [":node_manager_proto"], ) -python_grpc_compile( - name = "node_manager_py_proto", - deps = [":node_manager_proto"], -) - proto_library( name = "reporter_proto", srcs = ["reporter.proto"], @@ -146,11 +111,6 @@ cc_proto_library( deps = [":reporter_proto"], ) -python_grpc_compile( - name = "reporter_py_proto", - deps = [":reporter_proto"], -) - proto_library( name = "gcs_service_proto", srcs = ["gcs_service.proto"], @@ -167,11 +127,6 @@ cc_proto_library( deps = [":gcs_service_proto"], ) -python_grpc_compile( - name = "gcs_service_py_proto", - deps = [":gcs_service_proto"], -) - proto_library( name = "test_service_proto", srcs = ["test_service.proto"], @@ -186,11 +141,6 @@ cc_proto_library( deps = [":test_service_proto"], ) -python_grpc_compile( - name = "test_service_py_proto", - deps = [":test_service_proto"], -) - proto_library( name = "object_manager_proto", srcs = ["object_manager.proto"], @@ -212,11 +162,6 @@ proto_library( ], ) -python_grpc_compile( - name = "core_worker_py_proto", - deps = [":core_worker_proto"], -) - cc_proto_library( name = "worker_cc_proto", deps = ["core_worker_proto"], @@ -242,11 +187,6 @@ cc_proto_library( deps = [":event_proto"], ) -python_grpc_compile( - name = "event_py_proto", - deps = [":event_proto"], -) - proto_library( name = "export_event_proto", srcs = ["export_event.proto"], @@ -266,11 +206,6 @@ cc_proto_library( deps = [":export_event_proto"], ) -python_grpc_compile( - name = "export_event_py_proto", - deps = [":export_event_proto"], -) - proto_library( name = "export_task_event_proto", srcs = ["export_task_event.proto"], @@ -285,11 +220,6 @@ cc_proto_library( deps = [":export_task_event_proto"], ) -python_grpc_compile( - name = "export_task_event_py_proto", - deps = [":export_task_event_proto"], -) - proto_library( name = "export_runtime_env_proto", srcs = ["export_runtime_env.proto"], @@ -300,11 +230,6 @@ cc_proto_library( deps = [":export_runtime_env_proto"], ) -python_grpc_compile( - name = "export_runtime_env_py_proto", - deps = [":export_runtime_env_proto"], -) - proto_library( name = "export_node_event_proto", srcs = ["export_node_data.proto"], @@ -315,11 +240,6 @@ cc_proto_library( deps = [":export_node_event_proto"], ) -python_grpc_compile( - name = "export_node_event_py_proto", - deps = [":export_node_event_proto"], -) - proto_library( name = "export_actor_event_proto", srcs = ["export_actor_data.proto"], @@ -331,11 +251,6 @@ cc_proto_library( deps = [":export_actor_event_proto"], ) -python_grpc_compile( - name = "export_actor_event_py_proto", - deps = [":export_actor_event_proto"], -) - proto_library( name = "export_driver_job_event_proto", srcs = ["export_driver_job_event.proto"], @@ -350,11 +265,6 @@ cc_proto_library( deps = [":export_driver_job_event_proto"], ) -python_grpc_compile( - name = "export_driver_job_event_py_proto", - deps = [":export_driver_job_event_proto"], -) - proto_library( name = "export_submission_job_event_proto", srcs = ["export_submission_job_event.proto"], @@ -365,11 +275,6 @@ cc_proto_library( deps = [":export_submission_job_event_proto"], ) -python_grpc_compile( - name = "export_submission_job_event_py_proto", - deps = [":export_submission_job_event_proto"], -) - proto_library( name = "export_train_state_proto", srcs = ["export_train_state.proto"], @@ -380,11 +285,6 @@ cc_proto_library( deps = [":export_train_state_proto"], ) -python_grpc_compile( - name = "export_train_state_py_proto", - deps = [":export_train_state_proto"], -) - proto_library( name = "export_dataset_metadata_proto", srcs = ["export_dataset_metadata.proto"], @@ -398,11 +298,6 @@ cc_proto_library( deps = [":export_dataset_metadata_proto"], ) -python_grpc_compile( - name = "export_dataset_metadata_py_proto", - deps = [":export_dataset_metadata_proto"], -) - # Ray Client gRPC lib proto_library( name = "ray_client_proto", @@ -410,11 +305,6 @@ proto_library( deps = [":common_proto"], ) -python_grpc_compile( - name = "ray_client_py_proto", - deps = [":ray_client_proto"], -) - # Pubsub proto_library( name = "pubsub_proto", @@ -443,37 +333,16 @@ proto_library( ], ) -python_grpc_compile( - name = "runtime_env_agent_py_proto", - deps = [":runtime_env_agent_proto"], -) - cc_proto_library( name = "runtime_env_agent_cc_proto", deps = [":runtime_env_agent_proto"], ) -proto_library( - name = "serve_proto", - srcs = ["serve.proto"], - visibility = ["//java:__subpackages__"], -) - -python_grpc_compile( - name = "serve_py_proto", - deps = [":serve_proto"], -) - proto_library( name = "usage_proto", srcs = ["usage.proto"], ) -python_grpc_compile( - name = "usage_py_proto", - deps = [":usage_proto"], -) - cc_proto_library( name = "usage_cc_proto", deps = [":usage_proto"], @@ -484,11 +353,6 @@ proto_library( srcs = ["autoscaler.proto"], ) -python_grpc_compile( - name = "autoscaler_py_proto", - deps = [":autoscaler_proto"], -) - cc_proto_library( name = "autoscaler_cc_proto", deps = [":autoscaler_proto"], @@ -508,11 +372,6 @@ cc_proto_library( deps = [":events_actor_task_definition_event_proto"], ) -python_grpc_compile( - name = "events_actor_task_definition_event_py_proto", - deps = [":events_actor_task_definition_event_proto"], -) - proto_library( name = "events_actor_task_execution_event_proto", srcs = ["events_actor_task_execution_event.proto"], @@ -527,11 +386,6 @@ cc_proto_library( deps = [":events_actor_task_execution_event_proto"], ) -python_grpc_compile( - name = "events_actor_task_execution_event_py_proto", - deps = [":events_actor_task_execution_event_proto"], -) - proto_library( name = "events_task_definition_event_proto", srcs = ["events_task_definition_event.proto"], @@ -546,11 +400,6 @@ cc_proto_library( deps = [":events_task_definition_event_proto"], ) -python_grpc_compile( - name = "events_task_definition_event_py_proto", - deps = [":events_task_definition_event_proto"], -) - proto_library( name = "events_task_execution_event_proto", srcs = ["events_task_execution_event.proto"], @@ -565,11 +414,6 @@ cc_proto_library( deps = [":events_task_execution_event_proto"], ) -python_grpc_compile( - name = "events_task_execution_event_py_proto", - deps = [":events_task_execution_event_proto"], -) - proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], @@ -587,11 +431,6 @@ cc_proto_library( deps = [":events_base_event_proto"], ) -python_grpc_compile( - name = "events_base_event_py_proto", - deps = [":events_base_event_proto"], -) - proto_library( name = "events_event_aggregator_service_proto", srcs = ["events_event_aggregator_service.proto"], @@ -606,7 +445,41 @@ cc_proto_library( deps = [":events_event_aggregator_service_proto"], ) +# All core python protos are compiled in this single rule. +# They will be copied into ray/core/generated directory +# on ray wheel building. python_grpc_compile( - name = "events_event_aggregator_service_py_proto", - deps = [":events_event_aggregator_service_proto"], + name = "core_py_proto", + deps = [ + ":autoscaler_proto", + ":common_proto", + ":core_worker_proto", + ":event_proto", + ":events_event_aggregator_service_proto", + ":export_event_proto", + ":gcs_proto", + ":gcs_service_proto", + ":instance_manager_proto", + ":node_manager_proto", + ":ray_client_proto", + ":reporter_proto", + ":runtime_env_agent_proto", + ":runtime_env_common_proto", + ":usage_proto", + ], +) + +# Below is the serve proto + +proto_library( + name = "serve_proto", + srcs = ["serve.proto"], + visibility = ["//java:__subpackages__"], +) + +# These files will be copied into ray/serve/generated directory. +# on ray wheel building. +python_grpc_compile( + name = "serve_py_proto", + deps = [":serve_proto"], ) From 0761273a8adffe111372b81d66454a522ed7184a Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 22 Jul 2025 13:20:56 -0500 Subject: [PATCH 0316/1566] [core] Skip `test_object_assign_owner` in client mode (#54826) Experimental feature we're in the process of deprecating; skip the flaky test. Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD | 1 - 1 file changed, 1 deletion(-) diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index bcf32bcfe9ba..d802a0ee827a 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -211,7 +211,6 @@ py_test_module_list( "test_list_actors_3.py", "test_list_actors_4.py", "test_multiprocessing.py", - "test_object_assign_owner.py", "test_placement_group.py", "test_placement_group_2.py", "test_placement_group_3.py", From 97d023145357b65a60b3916ed6d0fb70e327b72f Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 22 Jul 2025 11:26:04 -0700 Subject: [PATCH 0317/1566] [Data] schema warning change (#54630) ## Why are these changes needed? When deduping schemas, emtpy schemas are not handled correctly. Works for pyarrow, but not for Panda because we use a NamedTuple. The current check uses ``` not schema ``` which handles schemas that are `None` and or length 0(an empty pyarrow schema has length 0 when empty). This is not the case for NamedTuples, So empty Panda blocks are not handled correctly which can cause weird behavior. empty schemas are 1. None 2. Pyarrow: not schema 3. Panda: not schema.names --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../_internal/execution/streaming_executor_state.py | 5 ++++- python/ray/data/block.py | 10 ++++++++++ 2 files changed, 14 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index b617355d584e..598252d5693b 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -771,7 +771,10 @@ def dedupe_schemas_with_validation( # Note, often times the refbundles correspond to only one schema. We can reduce the # memory footprint of multiple schemas by keeping only one copy. diverged = False - if not old_schema: + + from ray.data.block import _is_empty_schema + + if _is_empty_schema(old_schema): return bundle, diverged # This check is fast assuming pyarrow schemas diff --git a/python/ray/data/block.py b/python/ray/data/block.py index e2bcaa966cd7..64b09334f4f2 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -104,6 +104,16 @@ def __call__(self, __arg: T) -> Union[U, Iterator[U]]: DEFAULT_BATCH_FORMAT = "numpy" +def _is_empty_schema(schema: Optional[Schema]) -> bool: + from ray.data._internal.pandas_block import PandasBlockSchema + + return schema is None or ( + not schema.names + if isinstance(schema, PandasBlockSchema) + else not schema # pyarrow schema check + ) + + def _apply_batch_format(given_batch_format: Optional[str]) -> str: if given_batch_format == "default": given_batch_format = DEFAULT_BATCH_FORMAT From c1b6bcc69634a372e33e2ce1433898a68ad738b0 Mon Sep 17 00:00:00 2001 From: dshepelev15 Date: Tue, 22 Jul 2025 21:03:25 +0200 Subject: [PATCH 0318/1566] Fix fragments usage in ray.data.read_lance (#54707) ## Why are these changes needed? - We want be able to control read lance table on fragment level. Current `ray.data.read_lance` does not support it and read all fragments even if `scanner_options` has `fragments` When you pass "fragments" to scanner_options you can control which fragments ray will read. --------- Signed-off-by: dshepelev15 Signed-off-by: Douglas Strodtman --- .../_internal/datasource/lance_datasource.py | 6 +++++- python/ray/data/tests/test_lance.py | 16 ++++++++++++++++ 2 files changed, 21 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/datasource/lance_datasource.py b/python/ray/data/_internal/datasource/lance_datasource.py index 18c86c4d205d..643bb97066f5 100644 --- a/python/ray/data/_internal/datasource/lance_datasource.py +++ b/python/ray/data/_internal/datasource/lance_datasource.py @@ -61,7 +61,11 @@ def __init__( def get_read_tasks(self, parallelism: int) -> List[ReadTask]: read_tasks = [] - for fragments in np.array_split(self.lance_ds.get_fragments(), parallelism): + ds_fragments = self.scanner_options.get("fragments") + if ds_fragments is None: + ds_fragments = self.lance_ds.get_fragments() + + for fragments in np.array_split(ds_fragments, parallelism): if len(fragments) <= 0: continue diff --git a/python/ray/data/tests/test_lance.py b/python/ray/data/tests/test_lance.py index dbdc9ef59d0d..ab380e3eb4e6 100644 --- a/python/ray/data/tests/test_lance.py +++ b/python/ray/data/tests/test_lance.py @@ -90,6 +90,22 @@ def test_lance_read_basic(fs, data_path, batch_size): assert ds.schema().names == ["one", "two", "three", "four"] +@pytest.mark.parametrize("data_path", [lazy_fixture("local_path")]) +def test_lance_read_with_scanner_fragments(data_path): + table = pa.table({"one": [2, 1, 3, 4, 6, 5], "two": ["b", "a", "c", "e", "g", "f"]}) + setup_data_path = _unwrap_protocol(data_path) + path = os.path.join(setup_data_path, "test.lance") + dataset = lance.write_dataset(table, path, max_rows_per_file=2) + + fragments = dataset.get_fragments() + ds = ray.data.read_lance(path, scanner_options={"fragments": fragments[:1]}) + values = [[s["one"], s["two"]] for s in ds.take_all()] + assert values == [ + [2, "b"], + [1, "a"], + ] + + @pytest.mark.parametrize("data_path", [lazy_fixture("local_path")]) def test_lance_read_many_files(data_path): # NOTE: Lance only works with PyArrow 12 or above. From 23a05284ca9515dbe77cfa3e3e02f7982acf5a20 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 22 Jul 2025 14:41:20 -0500 Subject: [PATCH 0319/1566] [serve] Avoid errant cancelation of LongPollClient method (#54832) Ray will errantly cancel the `LongPollClient.listen_for_change` task if the first task to a replica is canceled prior to `listen_for_change` returning. This PR works around the issue by initiating the `listen_for_change` from a background asyncio task with an empty `contextvars.Context`. Closes https://github.com/ray-project/ray/issues/52476 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/long_poll.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/_private/long_poll.py b/python/ray/serve/_private/long_poll.py index 9d885a9ee9e2..ca09d55bc8a5 100644 --- a/python/ray/serve/_private/long_poll.py +++ b/python/ray/serve/_private/long_poll.py @@ -1,4 +1,5 @@ import asyncio +import contextvars import logging import os import random @@ -101,7 +102,12 @@ def __init__( } self.is_running = True - self._poll_next() + # NOTE(edoakes): we schedule the initial _poll_next call with an empty context + # so that Ray will not recursively cancel the underlying `listen_for_change` + # task. See: https://github.com/ray-project/ray/issues/52476. + self.event_loop.call_soon_threadsafe( + self._poll_next, context=contextvars.Context() + ) def stop(self) -> None: """Stop the long poll client after the next RPC returns.""" From 077a7e1f3bab7c794252ba7e220ee910df0c6c18 Mon Sep 17 00:00:00 2001 From: lkchen Date: Tue, 22 Jul 2025 16:29:54 -0400 Subject: [PATCH 0320/1566] [serve.llm] Skip batching logic if `batch_interval_ms` == 0 (#54751) Signed-off-by: Linkun Chen Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_server.py | 8 +- .../serve/deployments/utils/batcher.py | 10 +++ .../cpu/deployments/llm/test_llm_server.py | 81 ++++++++++++++++++- .../cpu/deployments/utils/test_batcher.py | 50 ++++++++++++ 4 files changed, 146 insertions(+), 3 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 2bbf88f1dc48..c8190ab7fbbd 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -280,7 +280,9 @@ async def chat( An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of chat streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the ChatCompletionResponse object directly. """ return await self._run_request( - request, engine_method="chat", batch_output_stream=True + request, + engine_method="chat", + batch_output_stream=True, ) async def completions( @@ -297,7 +299,9 @@ async def completions( An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of completion streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the CompletionResponse object directly. """ return await self._run_request( - request, engine_method="completions", batch_output_stream=True + request, + engine_method="completions", + batch_output_stream=True, ) async def embeddings( diff --git a/python/ray/llm/_internal/serve/deployments/utils/batcher.py b/python/ray/llm/_internal/serve/deployments/utils/batcher.py index 485099fdd6e4..f52e9f62cc7d 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/batcher.py +++ b/python/ray/llm/_internal/serve/deployments/utils/batcher.py @@ -36,6 +36,9 @@ def __init__( else: self.interval_s = interval_ms / 1000 + if interval_ms == 0: + return + self.done_event: asyncio.Event = asyncio.Event() # We are okay with this task getting cancelled (to propagate cancellations) @@ -46,6 +49,13 @@ def _merge_results(self, results: List[T]) -> Iterable[T]: async def stream(self) -> AsyncGenerator[Iterable[T], None]: """Drain from the queue every interval_ms and yield the merged results""" + + if self.interval_s == 0: + async for item in self.generator: + yield [item] + + return + try: while True: # Wait for the interval or until we finish, whichever is faster. diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index ebca54b07c4c..f14d7e76ae78 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -1,7 +1,10 @@ +import asyncio import sys -from typing import Optional +import time +from typing import AsyncGenerator, Optional from unittest.mock import patch +import numpy as np import pytest from ray import serve @@ -50,6 +53,17 @@ def multiplexed_serve_handle(mock_llm_config, stream_batching_interval_ms=0): serve.shutdown() +async def count_tpot_ms_from_stream(stream: AsyncGenerator) -> list[float]: + all_tpots_in_ms = [] + start = None + async for _ in stream: + now = time.perf_counter() + if start is not None: + all_tpots_in_ms.append((now - start) * 1e3) + start = now + return all_tpots_in_ms + + class TestLLMServer: @pytest.mark.parametrize("api_type", ["chat", "completion"]) @pytest.mark.parametrize("stream", [False, True]) @@ -263,6 +277,71 @@ async def test_push_telemetry(self, create_server, mock_llm_config): await create_server(mock_llm_config, engine_cls=MockVLLMEngine) mock_push_telemetry.assert_called_once() + @pytest.mark.parametrize("api_type", ["chat", "completions"]) + @pytest.mark.parametrize("stream", [True]) + @pytest.mark.parametrize("max_tokens", [64]) + @pytest.mark.parametrize("concurrency", [1, 16]) + @pytest.mark.parametrize("stream_batching_interval_ms", [0]) + @pytest.mark.asyncio + async def test_stable_streaming_tpot( + self, + serve_handle, + mock_llm_config, + mock_chat_request, + mock_completion_request, + api_type: str, + stream: bool, + max_tokens: int, + concurrency: int, + stream_batching_interval_ms: int, + ): + """Test that the streaming TPOT is stable when batching is disabled.""" + + # Create request based on API type + if api_type == "chat": + request = mock_chat_request + elif api_type == "completions": + request = mock_completion_request + batched_chunks: list[AsyncGenerator] = [ + getattr(serve_handle, api_type).remote(request) for _ in range(concurrency) + ] + + print( + f"\n\n_____ {api_type.upper()} ({'STREAMING' if stream else 'NON-STREAMING'}) max_tokens={max_tokens} batching_interval_ms={stream_batching_interval_ms} _____\n\n" + ) + + # Collect responses from llm_server + tpots_ms = await asyncio.gather( + *[ + count_tpot_ms_from_stream(server_stream) + for server_stream in batched_chunks + ] + ) + mean_llm_server = np.mean(tpots_ms) + std_var_llm_server = np.std(tpots_ms) + + # Run same request with vllm engine + vllm_engine = MockVLLMEngine(llm_config=mock_llm_config) + await vllm_engine.start() + engine_streams: list[AsyncGenerator] = [ + getattr(vllm_engine, api_type)(request) for _ in range(concurrency) + ] + tpots_ms_engine = await asyncio.gather( + *[ + count_tpot_ms_from_stream(engine_stream) + for engine_stream in engine_streams + ] + ) + mean_engine = np.mean(tpots_ms_engine) + std_var_engine = np.std(tpots_ms_engine) + + assert np.isclose( + mean_llm_server, mean_engine, rtol=0.1 + ), f"{mean_llm_server=}, {mean_engine=}" + assert np.isclose( + std_var_llm_server, std_var_engine, atol=1.0 + ), f"{std_var_llm_server=}, {std_var_engine=}" + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py b/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py index 0f7ce5f1956b..91a7fc0eb9f1 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py +++ b/python/ray/llm/tests/serve/cpu/deployments/utils/test_batcher.py @@ -1,7 +1,9 @@ import asyncio import sys +import time from typing import List, Optional +import numpy as np import pytest from ray.llm._internal.serve.configs.constants import MODEL_RESPONSE_BATCH_TIMEOUT_MS @@ -37,6 +39,19 @@ async def fake_generator_slow_last_return_immediate(): yield dict(num_generated_tokens=1, generated_text=FINAL_TEXT_VALUE) +async def count_interval_ms_from_stream(stream) -> list[float]: + output_intervals: list[float] = [] + start = None + async for _ in stream: + if start is None: + start = time.perf_counter() + else: + end = time.perf_counter() + output_intervals.append((end - start) * 1e3) + start = end + return output_intervals + + class TestBatcher(Batcher): def _merge_results(self, results: List[dict]) -> dict: merged_result = {"num_generated_tokens": 0, "generated_text": ""} @@ -181,6 +196,41 @@ async def parent(): # Inner task is checked automatically with pytest.raises + @pytest.mark.asyncio + async def test_stable_streaming(self): + """Test that the batcher does not add jitter to the stream when interval_ms is 0""" + + async def generator(): + for i in range(100): + await asyncio.sleep(0.01) + yield i + + concurrency = 10 + + output_intervals = await asyncio.gather( + *[ + count_interval_ms_from_stream( + Batcher(generator(), interval_ms=0).stream() + ) + for _ in range(concurrency) + ] + ) + mean_batcher_interval = np.mean(output_intervals) + std_batcher_interval = np.std(output_intervals) + + generator_intervals = await asyncio.gather( + *[count_interval_ms_from_stream(generator()) for _ in range(concurrency)] + ) + mean_generator_interval = np.mean(generator_intervals) + std_generator_interval = np.std(generator_intervals) + + assert np.isclose( + mean_batcher_interval, mean_generator_interval, rtol=0.1 + ), f"{mean_batcher_interval=}, {mean_generator_interval=}" + assert np.isclose( + std_batcher_interval, std_generator_interval, atol=0.1 + ), f"{std_batcher_interval=}, {std_generator_interval=}" + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 25412e4c19937af3c08c6b448a8e4e7e5370d089 Mon Sep 17 00:00:00 2001 From: Jan Date: Wed, 23 Jul 2025 06:23:57 +0900 Subject: [PATCH 0321/1566] [dashboard] fix typos (#54550) Signed-off-by: Jan Hilberath Co-authored-by: Philipp Moritz Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/metrics/metrics_head.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/metrics_head.py b/python/ray/dashboard/modules/metrics/metrics_head.py index ffe69e59fada..3b148ffd4c95 100644 --- a/python/ray/dashboard/modules/metrics/metrics_head.py +++ b/python/ray/dashboard/modules/metrics/metrics_head.py @@ -145,7 +145,7 @@ async def grafana_health(self, req) -> aiohttp.web.Response: if resp.status != 200: return dashboard_optional_utils.rest_response( status_code=dashboard_utils.HTTPStatusCode.INTERNAL_ERROR, - message="Grafana healtcheck failed", + message="Grafana healthcheck failed", status=resp.status, ) json = await resp.json() @@ -153,7 +153,7 @@ async def grafana_health(self, req) -> aiohttp.web.Response: if json["database"] != "ok": return dashboard_optional_utils.rest_response( status_code=dashboard_utils.HTTPStatusCode.INTERNAL_ERROR, - message="Grafana healtcheck failed. Database not ok.", + message="Grafana healthcheck failed. Database not ok.", status=resp.status, json=json, ) @@ -175,7 +175,7 @@ async def grafana_health(self, req) -> aiohttp.web.Response: return dashboard_optional_utils.rest_response( status_code=dashboard_utils.HTTPStatusCode.INTERNAL_ERROR, - message="Grafana healtcheck failed", + message="Grafana healthcheck failed", exception=str(e), ) From a140afda68147a887228f88a76fe48725a751cd9 Mon Sep 17 00:00:00 2001 From: Rueian Date: Tue, 22 Jul 2025 16:22:00 -0700 Subject: [PATCH 0322/1566] [core][autoscaler] add release tests on RAY_UP_enable_autoscaler_v2=1 (#54786) ## Why are these changes needed? Since ray 2.48.0 has been released, the autoscaler v2 in the `latest` ray image should have cluster launcher support, and thus we can test autoscaler v2 on the cluster launcher in release tests. This PR adds those tests. image ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 67 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 67 insertions(+) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 30891316e631..327bd90d220b 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4006,6 +4006,11 @@ timeout: 2400 script: python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 - name: aws_cluster_launcher_nightly_image group: cluster-launcher-test @@ -4021,6 +4026,11 @@ timeout: 2400 script: python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override nightly + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override nightly - name: aws_cluster_launcher_latest_image group: cluster-launcher-test @@ -4036,6 +4046,11 @@ timeout: 2400 script: python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override latest + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override latest - name: aws_cluster_launcher_release_image group: cluster-launcher-test @@ -4051,6 +4066,11 @@ timeout: 2400 script: python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override commit + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override commit - name: aws_cluster_launcher_minimal @@ -4067,6 +4087,12 @@ timeout: 1200 script: python launch_and_verify_cluster.py aws/example-minimal.yaml + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/example-minimal.yaml + - name: aws_cluster_launcher_full group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4081,6 +4107,12 @@ timeout: 3000 script: python launch_and_verify_cluster.py aws/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest + - name: gcp_cluster_launcher_minimal group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4098,6 +4130,12 @@ timeout: 1200 script: python launch_and_verify_cluster.py gcp/example-minimal-pinned.yaml + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-minimal-pinned.yaml + - name: gcp_cluster_launcher_full group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4115,6 +4153,12 @@ timeout: 4800 script: python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 30 + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 30 --docker-override latest + - name: gcp_cluster_launcher_latest_image group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4132,6 +4176,12 @@ timeout: 3600 script: python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest + - name: gcp_cluster_launcher_nightly_image group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4149,6 +4199,11 @@ timeout: 3600 script: python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override nightly + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override nightly - name: gcp_cluster_launcher_release_image group: cluster-launcher-test @@ -4167,6 +4222,12 @@ timeout: 3600 script: python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override commit + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override commit + - name: gcp_cluster_launcher_gpu_docker group: cluster-launcher-test working_dir: ../python/ray/autoscaler/ @@ -4184,6 +4245,12 @@ timeout: 1200 script: python launch_and_verify_cluster.py gcp/example-gpu-docker.yaml + variations: + - __suffix__: v1 + - __suffix__: v2 + run: + script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-gpu-docker.yaml + - name: autoscaler_aws group: autoscaler-test working_dir: autoscaling_tests From 2a37f378ff02f02e59a65dc8278434e071cb0e4e Mon Sep 17 00:00:00 2001 From: Weston Pace Date: Tue, 22 Jul 2025 23:59:02 -0700 Subject: [PATCH 0323/1566] [Data][Doc] update links to Lance documentation (#54836) ## Why are these changes needed? Lance recently updated their documentation. The links from Ray are now broken. ## Related issue number ## Checks - [X] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [X] I've run `scripts/format.sh` to lint the changes in this PR. - [X] I've included any doc changes needed for https://docs.ray.io/en/master/. - [X] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [X] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [X] This PR is not tested :( Signed-off-by: Weston Pace Signed-off-by: Douglas Strodtman --- python/ray/data/read_api.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index ec7b2ba6e26c..c09b00f732c1 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -3571,7 +3571,7 @@ def read_lance( ) -> Dataset: """ Create a :class:`~ray.data.Dataset` from a - `Lance Dataset `_. + `Lance Dataset `_. Examples: >>> import ray @@ -3590,11 +3590,11 @@ def read_lance( storage_options: Extra options that make sense for a particular storage connection. This is used to store connection parameters like credentials, endpoint, etc. For more information, see `Object Store Configuration `_. + ://lancedb.github.io/lance/guide/object_store/>`_. scanner_options: Additional options to configure the `LanceDataset.scanner()` method, such as `batch_size`. For more information, - see `LanceDB API doc `_ + see `LanceDB API doc `_ ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the From 94565fc539da248deccf1995020ceb9faeaf5c1e Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Wed, 23 Jul 2025 12:33:08 +0200 Subject: [PATCH 0324/1566] [RLlib; docs] Docs do-over (new API stack): ConnectorV2 documentation (part III). (#54626) Signed-off-by: Douglas Strodtman --- doc/source/rllib/connector-v2.rst | 35 +- doc/source/rllib/env-to-module-connector.rst | 52 ++- .../custom_pieces_in_learner_pipeline.svg | 1 + .../frame_stacking_connector_setup.svg | 1 + .../learner_connector_pipeline.svg | 2 +- ...cation_of_connector_pipelines_in_rllib.svg | 2 +- doc/source/rllib/learner-connector.rst | 381 ++++++++++++++++++ rllib/algorithms/algorithm_config.py | 133 +++--- rllib/connectors/common/frame_stacking.py | 4 +- .../env_to_module/frame_stacking.py | 4 +- rllib/connectors/learner/frame_stacking.py | 4 +- .../classes/count_based_curiosity.py | 10 +- 12 files changed, 531 insertions(+), 98 deletions(-) create mode 100644 doc/source/rllib/images/connector_v2/custom_pieces_in_learner_pipeline.svg create mode 100644 doc/source/rllib/images/connector_v2/frame_stacking_connector_setup.svg create mode 100644 doc/source/rllib/learner-connector.rst diff --git a/doc/source/rllib/connector-v2.rst b/doc/source/rllib/connector-v2.rst index d22ba2d551b1..c6da20e39756 100644 --- a/doc/source/rllib/connector-v2.rst +++ b/doc/source/rllib/connector-v2.rst @@ -2,16 +2,6 @@ .. _connector-v2-docs: -ConnectorV2 and ConnectorV2 pipelines -===================================== - -.. toctree:: - :hidden: - - env-to-module-connector - -.. include:: /_includes/rllib/new_api_stack.rst - .. grid:: 1 2 3 4 :gutter: 1 :class-container: container pb-3 @@ -32,6 +22,24 @@ ConnectorV2 and ConnectorV2 pipelines Env-to-module pipelines + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/learner_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: learner-pipeline-docs + + Learner connector pipelines + +ConnectorV2 and ConnectorV2 pipelines +===================================== + +.. toctree:: + :hidden: + + env-to-module-connector + learner-connector + +.. include:: /_includes/rllib/new_api_stack.rst RLlib stores and transports all trajectory data in the form of :py:class:`~ray.rllib.env.single_agent_episode.SingleAgentEpisode` or :py:class:`~ray.rllib.env.multi_agent_episode.MultiAgentEpisode` objects. @@ -66,8 +74,8 @@ Three ConnectorV2 pipeline types There are three different types of connector pipelines in RLlib: 1) :ref:`Env-to-module pipeline `, which creates tensor batches for action computing forward passes. -2) Module-to-env pipeline, which translates a model's output into RL environment actions. -3) Learner connector pipeline, which creates the train batch for a model update. +2) Module-to-env pipeline (documentation pending), which translates a model's output into RL environment actions. +3) :ref:`Learner connector pipeline `, which creates the train batch for a model update. The :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` API is an extremely powerful tool for customizing your RLlib experiments and algorithms. It allows you to take full control over accessing, changing, and re-assembling @@ -140,12 +148,10 @@ individual submodules' forward passes using the individual batches under the res See :ref:`here for how to write your own multi-module or multi-agent forward logic ` and override this default behavior of :py:class:`~ray.rllib.core.rl_module.multi_rl_module.MultiRLModule`. - Finally, if you have a stateful :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, for example an LSTM, RLlib adds two additional default connector pieces to the pipeline, :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad` and :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: - .. figure:: images/connector_v2/pipeline_batch_phases_single_agent_w_states.svg :width: 900 :align: left @@ -160,7 +166,6 @@ and :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.Ad RLlib only adds the ``state_in`` values for the first timestep in each sequence and therefore also doesn't add a time dimension to the data in the ``state_in`` column. - .. note:: To change the zero-padded sequence length for the :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad` diff --git a/doc/source/rllib/env-to-module-connector.rst b/doc/source/rllib/env-to-module-connector.rst index 19d8f0d3ca34..16828cb74141 100644 --- a/doc/source/rllib/env-to-module-connector.rst +++ b/doc/source/rllib/env-to-module-connector.rst @@ -2,11 +2,6 @@ .. _env-to-module-pipeline-docs: -Env-to-module pipelines -======================= - -.. include:: /_includes/rllib/new_api_stack.rst - .. grid:: 1 2 3 4 :gutter: 1 :class-container: container pb-3 @@ -27,10 +22,21 @@ Env-to-module pipelines Env-to-module pipelines (this page) + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/learner_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: learner-pipeline-docs -One env-to-module pipeline resides on each :py:class:`~ray.rllib.env.env_runner.EnvRunner` and is responsible -for handling the data flow from the `gymnasium.Env `__ to -the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. + Learner pipelines + +Env-to-module pipelines +======================= + +.. include:: /_includes/rllib/new_api_stack.rst + +On each :py:class:`~ray.rllib.env.env_runner.EnvRunner` resides one env-to-module pipeline +responsible for handling the data flow from the `gymnasium.Env `__ to the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. .. figure:: images/connector_v2/env_runner_connector_pipelines.svg :width: 1000 @@ -43,7 +49,7 @@ the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. .. The module-to-env pipeline serves the other direction, converting the output of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, such as action logits and action distribution parameters, to actual actions understandable by the `gymnasium.Env `__ and used in the env's next `step()` call. The env-to-module pipeline, when called, performs transformations from a list of ongoing :ref:`Episode objects ` to an -RLModule-readable tensor batch and RLlib passes this generated batch as the first argument into the +``RLModule``-readable tensor batch and RLlib passes this generated batch as the first argument into the :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_inference` or :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_exploration` methods of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, depending on your exploration settings. @@ -61,16 +67,16 @@ methods of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`, dependi Default env-to-module behavior ------------------------------ -By default RLlib populates an env-to-module pipeline with the following built-in connector pieces. +By default RLlib populates every env-to-module pipeline with the following built-in connector pieces. * :py:class:`~ray.rllib.connectors.common.add_observations_from_episodes_to_batch.AddObservationsFromEpisodesToBatch`: Places the most recent observation from each ongoing episode into the batch. The column name is ``obs``. Note that if you have a vector of ``N`` environments per :py:class:`~ray.rllib.env.env_runner.EnvRunner`, your batch size is also ``N``. -* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is a stateful one, adds a single timestep, second axis to all data to make it sequential. -* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is a stateful one, places the most recent state outputs of the module as new state inputs into the batch. The column name is ``state_in``. +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is stateful, adds a single timestep, second axis to all data to make it sequential. +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is stateful, places the most recent state outputs of the module as new state inputs into the batch. The column name is ``state_in`` and the values don't have a time-dimension. * *For multi-agent only:* :py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping`: Maps per-agent data to the respective per-module data depending on your defined agent-to-module mapping function. * :py:class:`~ray.rllib.connectors.common.batch_individual_items.BatchIndividualItems`: Converts all data in the batch, which thus far are lists of individual items, into batched structures meaning NumPy arrays, whose 0th axis is the batch axis. * :py:class:`~ray.rllib.connectors.common.numpy_to_tensor.NumpyToTensor`: Converts all NumPy arrays in the batch into framework specific tensors and moves these to the GPU, if required. -You can disable the preceding default connector pieces by setting `config.env_runners(add_default_connectors_to_env_to_module_pipeline=False)` +You can disable all the preceding default connector pieces by setting `config.env_runners(add_default_connectors_to_env_to_module_pipeline=False)` in your :ref:`algorithm config `. Note that the order of these transforms is very relevant for the functionality of the pipeline. @@ -252,7 +258,7 @@ Writing custom env-to-module connectors You can customize the default env-to-module pipeline that RLlib creates through specifying a function in your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig`, which takes an optional RL environment object (`env`) and an optional `spaces` dictionary as input arguments and returns a single :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece or a list thereof. -RLlib prepends the provided :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` instances to the +RLlib prepends these :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` instances to the :ref:`default env-to-module pipeline ` in the order returned, unless you set `add_default_connectors_to_env_to_module_pipeline=False` in your config, in which case RLlib exclusively uses the provided :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces without any automatically added default behavior. @@ -373,8 +379,8 @@ Now you can use the custom preprocessor in environments with integer observation .. _observation-preprocessors-adding-rewards-to-obs: -Adding recent rewards to the batch -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example: Adding recent rewards to the batch +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Assume you wrote a custom :ref:`RLModule ` that requires the last three received rewards as input in the calls to any of its `forward_..()` methods. @@ -396,8 +402,8 @@ there are now three more values in each observation: from ray.rllib.connectors.env_to_module.observation_preprocessor import SingleAgentObservationPreprocessor - class AddPast3Rewards(SingleAgentObservationPreprocessor): - """Extracts last 3 rewards from episode and concatenates them to the observation tensor.""" + class AddPastThreeRewards(SingleAgentObservationPreprocessor): + """Extracts last three rewards from episode and concatenates them to the observation tensor.""" def recompute_output_observation_space(self, in_obs_space, in_act_space): # Based on the input observation space (), return the output observation @@ -432,8 +438,8 @@ there are now three more values in each observation: method. -Preprocessing observations in multi-agent setups -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example: Preprocessing observations in multi-agent setups +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In multi-agent setups, you have two options for preprocessing your agents' individual observations through customizing your env-to-module pipeline: @@ -480,8 +486,8 @@ through customizing your env-to-module pipeline: previous actions. -Adding new columns to the batch -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example: Adding new columns to the batch +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ So far, you have altered the observations in the input episodes, either by :ref:`manipulating them directly ` or @@ -574,3 +580,5 @@ You should see the new column in the batch, after running through this connector Note, though, that if your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` also requires the new information in the train batch, you would also need to add the same custom connector piece to your Algorithm's :py:class:`~ray.rllib.connectors.learner.learner_connector_pipeline.LearnerConnectorPipeline`. + +See :ref:`the Learner connector pipeline documentation ` for more details on how to customize it. diff --git a/doc/source/rllib/images/connector_v2/custom_pieces_in_learner_pipeline.svg b/doc/source/rllib/images/connector_v2/custom_pieces_in_learner_pipeline.svg new file mode 100644 index 000000000000..54f93d00bc70 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/custom_pieces_in_learner_pipeline.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/frame_stacking_connector_setup.svg b/doc/source/rllib/images/connector_v2/frame_stacking_connector_setup.svg new file mode 100644 index 000000000000..dadeb8526391 --- /dev/null +++ b/doc/source/rllib/images/connector_v2/frame_stacking_connector_setup.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg b/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg index 25e355b4148f..8532754e7d05 100644 --- a/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg +++ b/doc/source/rllib/images/connector_v2/learner_connector_pipeline.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/doc/source/rllib/images/connector_v2/location_of_connector_pipelines_in_rllib.svg b/doc/source/rllib/images/connector_v2/location_of_connector_pipelines_in_rllib.svg index 5fe95fd832f6..bdf534db7930 100644 --- a/doc/source/rllib/images/connector_v2/location_of_connector_pipelines_in_rllib.svg +++ b/doc/source/rllib/images/connector_v2/location_of_connector_pipelines_in_rllib.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/doc/source/rllib/learner-connector.rst b/doc/source/rllib/learner-connector.rst new file mode 100644 index 000000000000..2ca462a19c61 --- /dev/null +++ b/doc/source/rllib/learner-connector.rst @@ -0,0 +1,381 @@ +.. include:: /_includes/rllib/we_are_hiring.rst + +.. _learner-pipeline-docs: + +.. grid:: 1 2 3 4 + :gutter: 1 + :class-container: container pb-3 + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/connector_generic.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: connector-v2-docs + + ConnectorV2 overview + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/env_to_module_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: env-to-module-pipeline-docs + + Env-to-module pipelines + + .. grid-item-card:: + :img-top: /rllib/images/connector_v2/learner_connector.svg + :class-img-top: pt-2 w-75 d-block mx-auto fixed-height-img + + .. button-ref:: learner-pipeline-docs + + Learner connector pipelines (this page) + +Learner connector pipelines +=========================== + +.. include:: /_includes/rllib/new_api_stack.rst + +On each :py:class:`~ray.rllib.core.learner.learner.Learner` actor resides a single Learner connector pipeline (see figure below) +responsible for compiling the train batch for the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` from a list of episodes. + +.. figure:: images/connector_v2/learner_connector_pipeline.svg + :width: 1000 + :align: left + + **Learner ConnectorV2 Pipelines**: A learner connector pipeline sits between the input training data, a list of episodes, + and the :py:class:`~ray.rllib.core.learner.learner.Learner` actor's :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. + The pipeline transforms this input data into a train batch readable by the + :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_train` method of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. + +When calling the Learner connector pipeline, a transformation from a list of :ref:`Episode objects ` to an +``RLModule``-readable tensor batch, also referred to as the "train batch", takes place and the :py:class:`~ray.rllib.core.learner.learner.Learner` actor +sends the output of the pipeline directly into the +:py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.forward_train` method of the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule`. + + +.. _default-learner-pipeline: + +Default Learner pipeline behavior +--------------------------------- + +By default RLlib populates every Learner connector pipeline with the following built-in connector pieces. + +* :py:class:`~ray.rllib.connectors.common.add_observations_from_episodes_to_batch.AddObservationsFromEpisodesToBatch`: Places all observations from the incoming episodes into the batch. The column name is ``obs``. For example, if you have two incoming episodes of length 10 and 20, your resulting train batch size is 30. +* :py:class:`~ray.rllib.connectors.learner.add_columns_from_episodes_to_batch.AddColumnsFromEpisodesToBatch`: Places all other columns, like rewards, actions, and termination flags, from the incoming episodes into the batch. +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_time_dim_to_batch_and_zero_pad.AddTimeDimToBatchAndZeroPad`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is stateful, adds a time-dimension of size `max_seq_len` at axis=1 to all data in the batch and (right) zero-pads in cases where episodes end at timesteps non-dividable by `max_seq_len`. You can change `max_seq_len` through your RLModule's `model_config_dict` (call `config.rl_module(model_config_dict={'max_seq_len': ...})` on your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` object). +* *Relevant for stateful models only:* :py:class:`~ray.rllib.connectors.common.add_states_from_episodes_to_batch.AddStatesFromEpisodesToBatch`: If the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` is stateful, places the most recent state outputs of the module as new state inputs into the batch. The column name is ``state_in`` and the values don't have a time-dimension. +* *For multi-agent only:* :py:class:`~ray.rllib.connectors.common.agent_to_module_mapping.AgentToModuleMapping`: Maps per-agent data to the respective per-module data depending on the already determined agent-to-module mapping stored in each multi-agent episode. +* :py:class:`~ray.rllib.connectors.common.batch_individual_items.BatchIndividualItems`: Converts all data in the batch, which thus far are lists of individual items, into batched structures meaning NumPy arrays, whose 0th axis is the batch axis. +* :py:class:`~ray.rllib.connectors.common.numpy_to_tensor.NumpyToTensor`: Converts all NumPy arrays in the batch into framework specific tensors and moves these to the GPU, if required. + +You can disable all the preceding default connector pieces by setting `config.learners(add_default_connectors_to_learner_pipeline=False)` +in your :ref:`algorithm config `. + +Note that the order of these transforms is very relevant for the functionality of the pipeline. + + +.. _writing_custom_learner_connectors: + +Writing custom Learner connectors +--------------------------------- + +You can customize the Learner connector pipeline through specifying a function in your +:py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig`, which takes the observation- and action spaces as input arguments and +returns a single :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece or a list thereof. + +RLlib prepends these :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` instances to the +:ref:`default Learner pipeline ` in the order returned, +unless you set `add_default_connectors_to_learner_pipeline=False` in your config, in which case RLlib exclusively uses the provided +:py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` pieces without any automatically added default behavior. + +For example, to prepend a custom :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece to the +:py:class:`~ray.rllib.core.learner.learner.Learner` connector pipeline, you can do this in your config: + +.. testcode:: + :skipif: True + + config.learners( + learner_connector=lambda obs_space, act_space: MyLearnerConnector(..), + ) + +If you want to add multiple custom pieces to the pipeline, return them as a list: + +.. testcode:: + :skipif: True + + # Return a list of connector pieces to make RLlib add all of them to your + # Learner pipeline. + config.learners( + learner_connector=lambda obs_space, act_space: [ + MyLearnerConnector(..), + MyOtherLearnerConnector(..), + AndOneMoreConnector(..), + ], + ) + +RLlib adds the connector pieces returned by your function to the beginning of the Learner pipeline, +before the previously described default connector pieces that RLlib provides automatically: + +.. figure:: images/connector_v2/custom_pieces_in_learner_pipeline.svg + :width: 1000 + :align: left + + **Inserting custom ConnectorV2 pieces into the Learner pipeline**: RLlib inserts custom connector pieces, such + as intrinsic reward computation, before the default pieces. This way, if your custom connectors alter the input episodes + in any way, for example by changing the rewards as in the succeeding example, + the default pieces at the end of the pipeline automatically add these changed rewards to the batch. + + +Example: Reward shaping prior to loss computation +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +A good example of when to write a custom Learner ConnectorV2 piece is reward shaping before computing your algorithm's loss. +The Learner connector's :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` has full access to the +entire episode data, including observations, actions, other agents' data in multi-agent scenarios, and all rewards. + +Here are the most important code snippets for setting up a simple, count-based intrinsic reward signal. +The custom connector computes the intrinsic reward as the inverse number of times an agent has already seen a specific observation. +Thus, the more the agent visits a certain state, the lower the +computed intrinsic reward for that state, motivating the agent to visit new states and show better exploratory behavior. + +See `here for the full count-based intrinsic reward example script `__. + +You can write the custom Learner connector by subclassing :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` and overriding +the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method: + +.. testcode:: + + from collections import Counter + from ray.rllib.connectors.connector_v2 import ConnectorV2 + + class CountBasedIntrinsicRewards(ConnectorV2): + + def __init__(self, **kwargs): + super().__init__(**kwargs) + + # Observation counter to compute state visitation frequencies. + self._counts = Counter() + + +In the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method, you then loop through all +single-agent episodes and change the reward stored in these to: ``r(t) = re(t) + 1 / N(ot)``, where ``re`` is the extrinsic reward from the +RL environment and ``N(ot)`` is the number of times the agent has already been to observation ``o(t)``. + +.. testcode:: + + def __call__( + self, + *, + rl_module, + batch, + episodes, + explore=None, + shared_data=None, + **kwargs, + ): + for sa_episode in self.single_agent_episode_iterator( + episodes=episodes, agents_that_stepped_only=False + ): + # Loop through all observations, except the last one. + observations = sa_episode.get_observations(slice(None, -1)) + # Get all respective extrinsic rewards. + rewards = sa_episode.get_rewards() + + for i, (obs, rew) in enumerate(zip(observations, rewards)): + # Add 1 to obs counter. + obs = tuple(obs) + self._counts[obs] += 1 + # Compute the count-based intrinsic reward and add it to the extrinsic + # reward. + rew += 1 / self._counts[obs] + # Store the new reward back to the episode (under the correct + # timestep/index). + sa_episode.set_rewards(new_data=rew, at_indices=i) + + return batch + + +If you plug in this custom :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece into the pipeline through +the algorithm config +(`config.learners(learner_connector=lambda env: CountBasedIntrinsicRewards())`), +your loss function should receive the altered reward signals in the ``rewards`` column of the incoming batch. + +.. note:: + Your custom logic writes the new rewards right back into the given episodes + instead of placing them into the train batch. This strategy of writing back those data you pulled from episodes right back + into the same episodes makes sure that from this point on, only the changed data is visible to the subsequent connector pieces. + The batch remains unchanged at first. However, one of the subsequent + :ref:`default Learner connector pieces `, :py:class:`~ray.rllib.connectors.learner.add_columns_from_episodes_to_batch.AddColumnsFromEpisodesToBatch`, + fills the batch with rewards data from the episodes. + Therefore, RLlib automatically adds to the train batch any changes you make to the episode objects. + + +Example: Stacking the N most recent observations +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Another application of the Learner connector API, in combination with a +:ref:`custom env-to-module connector piece `, is efficient observation frame stacking, +without having to deduplicate the stacked, overlapping observation data and without having to store these additional, overlapping +observations in your episodes or send them through the network for inter-actor communication: + +.. figure:: images/connector_v2/frame_stacking_connector_setup.svg + :width: 1000 + :align: left + + **ConnectorV2 setup for observation frame-stacking**: An env-to-module connector pipeline, inside an + :py:class:`~ray.rllib.env.env_runner.EnvRunner`, and a Learner connector pipeline, inside + a :py:class:`~ray.rllib.core.learner.learner.Learner` actor, both of which contain a + custom :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece, which stacks the last four + observations from either the ongoing (``EnvRunner``) or already collected episodes (``Learner``) and places these + in the batch. Note that you should use dummy, zero-filled observations (in the batch, in red) where the stacking happens close to the beginning of + the episode. + +Because you aren't overriding the original, non-stacked observations in the collected episodes, you have to apply the same +batch construction logic responsible for the observation stacking twice, once for the action computation +on the :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors and also for the loss computation on the +:py:class:`~ray.rllib.core.learner.learner.Learner` actors. + +For better clarity, it may help to remember that batches produced by a connector pipeline are ephemeral and RLlib discards them right +after the :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` forward pass. Thus, if frame stacking happens directly on +the batch under construction, because you don't want to overload the episodes with deduplicated, stacked observations, +you have to apply the stacking logic twice (in the :ref:`env-to-module pipeline ` and the Learner connector pipeline): + +The following is an example for implementing such a frame-stacking mechanism using +the :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` APIs with an RL environment, in which observations are plain 1D tensors. + +See here for a `more complex end-to-end Atari example for PPO `__. + +You can write a single :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` class to cover both the env-to-module as well as +the Learner custom connector part: + +.. testcode:: + + import gymnasium as gym + import numpy as np + from ray.rllib.connectors.connector_v2 import ConnectorV2 + from ray.rllib.core.columns import Columns + + + class StackFourObservations(ConnectorV2): + """A connector piece that stacks the previous four observations into one. + + Works both as Learner connector as well as env-to-module connector. + """ + + def recompute_output_observation_space( + self, + input_observation_space, + input_action_space, + ): + # Assume the input observation space is a Box of shape (x,). + assert ( + isinstance(input_observation_space, gym.spaces.Box) + and len(input_observation_space.shape) == 1 + ) + + # This connector concatenates the last four observations at axis=0, so the + # output space has a shape of (4*x,). + return gym.spaces.Box( + low=input_observation_space.low, + high=input_observation_space.high, + shape=(input_observation_space.shape[0] * 4,), + dtype=input_observation_space.dtype, + ) + + def __init__( + self, + input_observation_space, + input_action_space, + *, + as_learner_connector, + **kwargs, + ): + super().__init__(input_observation_space, input_action_space, **kwargs) + self._as_learner_connector = as_learner_connector + + def __call__(self, *, rl_module, batch, episodes, **kwargs): + + # Loop through all (single-agent) episodes. + for sa_episode in self.single_agent_episode_iterator(episodes): + + # Get the four most recent observations from the episodes. + last_4_obs = sa_episode.get_observations( + indices=[-4, -3, -2, -1], + fill=0.0, # Left-zero-fill in case you reach beginning of episode. + ) + # Concatenate all stacked observations. + new_obs = np.concatenate(last_4_obs, axis=0) + + # Add the stacked observations to the `batch` using the + # `ConnectorV2.add_batch_item()` utility. + + # Note that you don't change the episode here, which means, if `self` is + # the env-to-module connector piece (as opposed to the Learner connector + # piece), the episode collected still has only single, non-stacked + # observations, which the Learner pipeline must stack again for the + # `forward_train()` pass through the model. + self.add_batch_item( + batch=batch, + column=Columns.OBS, + item_to_add=new_obs, + single_agent_episode=sa_episode, + ) + + # Return batch (with stacked observations). + return batch + + +Then, add these lines to your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig`: + +.. testcode:: + :hide: + + from ray.rllib.algorithms.ppo import PPOConfig + + config = PPOConfig() + + +.. testcode:: + # Enable frame-stacking on the EnvRunner side. + config.env_runners( + env_to_module_connector=lambda env, spaces, device: StackFourObservations(), + ) + # And again on the Learner side. + config.training( + learner_connector=lambda obs_space, act_space: StackFourObservations( + as_learner_connector=True + ), + ) + +Your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` automatically receives the correct, adjusted observation space in its :py:meth:`~ray.rllib.core.rl_module.rl_module.RLModule.setup` +method. The :py:class:`~ray.rllib.env.env_runner.EnvRunner` and its :ref:`env-to-module connector pipeline ` +conveniently compute this information for you through the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.recompute_output_observation_space` +methods. +Make sure your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` supports stacked observations rather than individual ones. + +Note that you don't have to concatenate observations into the same original dimension as you did in the preceding +implementation of the :py:meth:`~ray.rllib.connectors.connector_v2.ConnectorV2.__call__` method, but you may also stack into a new +observation dimension as long as your :py:class:`~ray.rllib.core.rl_module.rl_module.RLModule` knows how to handle the +altered observation shape. + + +.. tip:: + The preceding code is for demonstration- and explanation purposes only. + There already exists an off-the-shelf :py:class:`~ray.rllib.connectors.connector_v2.ConnectorV2` piece in RLlib, which + performs the task of stacking the last `N` observations in both env-to-module- and Learner connector pipelines and + also supports multi-agent cases. Add these lines here to your config to switch on observation frame stacking: + + .. testcode:: + + from ray.rllib.connectors.common.frame_stacking import FrameStacking + + N = 4 # number of frames to stack + + # Framestacking on the EnvRunner side. + config.env_runners( + env_to_module_connector=lambda env, spaces, device: FrameStacking(num_frames=N), + ) + # Then again on the Learner side. + config.training( + learner_connector=lambda obs_space, act_space: FrameStacking(num_frames=N, as_learner_connector=True), + ) diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 832f00a14446..2c6120b86452 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -1052,8 +1052,8 @@ def build_env_to_module_connector( else: raise ValueError( "`AlgorithmConfig.env_runners(env_to_module_connector=..)` must " - "return a ConnectorV2 object or a list thereof (to be added to a " - f"pipeline)! Your function returned {val_}." + "return a ConnectorV2 object or a list thereof to be added to a " + f"connector pipeline! Your function returned {val_}." ) if env is not None: @@ -1158,8 +1158,8 @@ def build_module_to_env_connector(self, env=None, spaces=None) -> ConnectorV2: else: raise ValueError( "`AlgorithmConfig.env_runners(module_to_env_connector=..)` must " - "return a ConnectorV2 object or a list thereof (to be added to a " - f"pipeline)! Your function returned {val_}." + "return a ConnectorV2 object or a list thereof to be added to a " + f"connector pipeline! Your function returned {val_}." ) if env is not None: @@ -1265,9 +1265,9 @@ def build_learner_connector( # Unsupported return value. else: raise ValueError( - "`AlgorithmConfig.training(learner_connector=..)` must return " - "a ConnectorV2 object or a list thereof (to be added to a " - f"pipeline)! Your function returned {val_}." + "`AlgorithmConfig.learners(learner_connector=..)` must return " + "a ConnectorV2 object or a list thereof to be added to a connector " + f"pipeline! Your function returned {val_}." ) pipeline = LearnerConnectorPipeline( @@ -2343,17 +2343,18 @@ def training( shuffle_batch_per_epoch: Optional[bool] = NotProvided, model: Optional[dict] = NotProvided, optimizer: Optional[dict] = NotProvided, + # Deprecated args. + num_aggregator_actors_per_learner=DEPRECATED_VALUE, + max_requests_in_flight_per_aggregator_actor=DEPRECATED_VALUE, + num_sgd_iter=DEPRECATED_VALUE, + max_requests_in_flight_per_sampler_worker=DEPRECATED_VALUE, + # Moved to `learners()` method. learner_class: Optional[Type["Learner"]] = NotProvided, learner_connector: Optional[ Callable[["RLModule"], Union["ConnectorV2", List["ConnectorV2"]]] ] = NotProvided, add_default_connectors_to_learner_pipeline: Optional[bool] = NotProvided, learner_config_dict: Optional[Dict[str, Any]] = NotProvided, - # Deprecated args. - num_aggregator_actors_per_learner=DEPRECATED_VALUE, - max_requests_in_flight_per_aggregator_actor=DEPRECATED_VALUE, - num_sgd_iter=DEPRECATED_VALUE, - max_requests_in_flight_per_sampler_worker=DEPRECATED_VALUE, ) -> "AlgorithmConfig": """Sets the training related configuration. @@ -2417,35 +2418,41 @@ def training( TODO: Provide ModelConfig objects instead of dicts. optimizer: Arguments to pass to the policy optimizer. This setting is not used when `enable_rl_module_and_learner=True`. - learner_class: The `Learner` class to use for (distributed) updating of the - RLModule. Only used when `enable_rl_module_and_learner=True`. - learner_connector: A callable taking an env observation space and an env - action space as inputs and returning a learner ConnectorV2 (might be - a pipeline) object. - add_default_connectors_to_learner_pipeline: If True (default), RLlib's - Learners automatically add the default Learner ConnectorV2 - pieces to the LearnerPipeline. These automatically perform: - a) adding observations from episodes to the train batch, if this has not - already been done by a user-provided connector piece - b) if RLModule is stateful, add a time rank to the train batch, zero-pad - the data, and add the correct state inputs, if this has not already been - done by a user-provided connector piece. - c) add all other information (actions, rewards, terminateds, etc..) to - the train batch, if this has not already been done by a user-provided - connector piece. - Only if you know exactly what you are doing, you - should set this setting to False. - Note that this setting is only relevant if the new API stack is used - (including the new EnvRunner classes). - learner_config_dict: A dict to insert any settings accessible from within - the Learner instance. This should only be used in connection with custom - Learner subclasses and in case the user doesn't want to write an extra - `AlgorithmConfig` subclass just to add a few settings to the base Algo's - own config class. Returns: This updated AlgorithmConfig object. """ + if learner_class is not NotProvided: + deprecation_warning( + old="config.training(learner_class=..)", + new="config.learners(learner_class=..)", + error=False, + ) + self._learner_class = learner_class + if learner_connector is not NotProvided: + deprecation_warning( + old="config.training(learner_connector=..)", + new="config.learners(learner_connector=..)", + error=False, + ) + self._learner_connector = learner_connector + if add_default_connectors_to_learner_pipeline is not NotProvided: + deprecation_warning( + old="config.training(add_default_connectors_to_learner_pipeline=..)", + new="config.learners(add_default_connectors_to_learner_pipeline=..)", + error=False, + ) + self.add_default_connectors_to_learner_pipeline = ( + add_default_connectors_to_learner_pipeline + ) + if learner_config_dict is not NotProvided: + deprecation_warning( + old="config.training(learner_config_dict=..)", + new="config.learners(learner_config_dict=..)", + error=False, + ) + self.learner_config_dict.update(learner_config_dict) + if num_aggregator_actors_per_learner != DEPRECATED_VALUE: deprecation_warning( old="config.training(num_aggregator_actors_per_learner=..)", @@ -2523,19 +2530,8 @@ def training( # Error out if user tries to enable this. error=model["_use_default_native_models"], ) - if optimizer is not NotProvided: self.optimizer = merge_dicts(self.optimizer, optimizer) - if learner_class is not NotProvided: - self._learner_class = learner_class - if learner_connector is not NotProvided: - self._learner_connector = learner_connector - if add_default_connectors_to_learner_pipeline is not NotProvided: - self.add_default_connectors_to_learner_pipeline = ( - add_default_connectors_to_learner_pipeline - ) - if learner_config_dict is not NotProvided: - self.learner_config_dict.update(learner_config_dict) return self @@ -6164,18 +6160,59 @@ def __init__(self, algo_class=None): def learners( self, *, + learner_class: Optional[Type["Learner"]] = NotProvided, + learner_connector: Optional[ + Callable[["RLModule"], Union["ConnectorV2", List["ConnectorV2"]]] + ] = NotProvided, + add_default_connectors_to_learner_pipeline: Optional[bool] = NotProvided, + learner_config_dict: Optional[Dict[str, Any]] = NotProvided, differentiable_learner_configs: List[DifferentiableLearnerConfig] = NotProvided, **kwargs, ) -> "DifferentiableAlgorithmConfig": """Sets the configurations for differentiable learners. Args: + learner_class: The `Learner` class to use for (distributed) updating of the + RLModule. Only used when `enable_rl_module_and_learner=True`. + learner_connector: A callable taking an env observation space and an env + action space as inputs and returning a learner ConnectorV2 (might be + a pipeline) object. + add_default_connectors_to_learner_pipeline: If True (default), RLlib's + Learners automatically add the default Learner ConnectorV2 + pieces to the LearnerPipeline. These automatically perform: + a) adding observations from episodes to the train batch, if this has not + already been done by a user-provided connector piece + b) if RLModule is stateful, add a time rank to the train batch, zero-pad + the data, and add the correct state inputs, if this has not already been + done by a user-provided connector piece. + c) add all other information (actions, rewards, terminateds, etc..) to + the train batch, if this has not already been done by a user-provided + connector piece. + Only if you know exactly what you are doing, you + should set this setting to False. + Note that this setting is only relevant if the new API stack is used + (including the new EnvRunner classes). + learner_config_dict: A dict to insert any settings accessible from within + the Learner instance. This should only be used in connection with custom + Learner subclasses and in case the user doesn't want to write an extra + `AlgorithmConfig` subclass just to add a few settings to the base Algo's + own config class. differentiable_learner_configs: A list of `DifferentiableLearnerConfig` instances defining the `DifferentiableLearner` classes used for the nested updates in `Algorithm`'s learner. """ super().learners(**kwargs) + if learner_class is not NotProvided: + self._learner_class = learner_class + if learner_connector is not NotProvided: + self._learner_connector = learner_connector + if add_default_connectors_to_learner_pipeline is not NotProvided: + self.add_default_connectors_to_learner_pipeline = ( + add_default_connectors_to_learner_pipeline + ) + if learner_config_dict is not NotProvided: + self.learner_config_dict.update(learner_config_dict) if differentiable_learner_configs is not NotProvided: self.differentiable_learner_configs = differentiable_learner_configs diff --git a/rllib/connectors/common/frame_stacking.py b/rllib/connectors/common/frame_stacking.py index 036a677de398..f889d1c6c506 100644 --- a/rllib/connectors/common/frame_stacking.py +++ b/rllib/connectors/common/frame_stacking.py @@ -13,7 +13,7 @@ @PublicAPI(stability="alpha") -class _FrameStacking(ConnectorV2): +class FrameStacking(ConnectorV2): """A connector piece that stacks the previous n observations into one.""" @override(ConnectorV2) @@ -41,7 +41,7 @@ def __init__( as_learner_connector: bool = False, **kwargs, ): - """Initializes a _FrameStackingConnector instance. + """Initializes a FrameStackingConnector instance. Args: num_frames: The number of observation frames to stack up (into a single diff --git a/rllib/connectors/env_to_module/frame_stacking.py b/rllib/connectors/env_to_module/frame_stacking.py index 25c12fa4526a..d6e7dea498a5 100644 --- a/rllib/connectors/env_to_module/frame_stacking.py +++ b/rllib/connectors/env_to_module/frame_stacking.py @@ -1,6 +1,6 @@ from functools import partial -from ray.rllib.connectors.common.frame_stacking import _FrameStacking +from ray.rllib.connectors.common.frame_stacking import FrameStacking -FrameStackingEnvToModule = partial(_FrameStacking, as_learner_connector=False) +FrameStackingEnvToModule = partial(FrameStacking, as_learner_connector=False) diff --git a/rllib/connectors/learner/frame_stacking.py b/rllib/connectors/learner/frame_stacking.py index 648c7146fc5f..f431eb727259 100644 --- a/rllib/connectors/learner/frame_stacking.py +++ b/rllib/connectors/learner/frame_stacking.py @@ -1,6 +1,6 @@ from functools import partial -from ray.rllib.connectors.common.frame_stacking import _FrameStacking +from ray.rllib.connectors.common.frame_stacking import FrameStacking -FrameStackingLearner = partial(_FrameStacking, as_learner_connector=True) +FrameStackingLearner = partial(FrameStacking, as_learner_connector=True) diff --git a/rllib/examples/connectors/classes/count_based_curiosity.py b/rllib/examples/connectors/classes/count_based_curiosity.py index 1f865e3a8ae8..5985d3deee02 100644 --- a/rllib/examples/connectors/classes/count_based_curiosity.py +++ b/rllib/examples/connectors/classes/count_based_curiosity.py @@ -73,17 +73,17 @@ def __call__( for sa_episode in self.single_agent_episode_iterator( episodes=episodes, agents_that_stepped_only=False ): - # Loop through all obs, except the last one. + # Loop through all observations, except the last one. observations = sa_episode.get_observations(slice(None, -1)) - # Get all respective (extrinsic) rewards. + # Get all respective extrinsic rewards. rewards = sa_episode.get_rewards() for i, (obs, rew) in enumerate(zip(observations, rewards)): - obs = tuple(obs) # Add 1 to obs counter. + obs = tuple(obs) self._counts[obs] += 1 - # Compute our count-based intrinsic reward and add it to the main - # (extrinsic) reward. + # Compute the count-based intrinsic reward and add it to the extrinsic + # reward. rew += self.intrinsic_reward_coeff * (1 / self._counts[obs]) # Store the new reward back to the episode (under the correct # timestep/index). From 00839110e0c22f071f479dba79b0e0703b392fd0 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 23 Jul 2025 07:09:07 -0700 Subject: [PATCH 0325/1566] [Core] Remove dead/untested code from core_worker.cc (#54761) I noticed that RegisterWorkerToRayletToPort uses *raylet_conn however raylet_conn is moved into local_raylet_client_. Hence if RegisterWorkerToRayletToPort is ever called this will cause the worker to crash. Looking at the original commit: https://github.com/ray-project/ray/pull/49503 it seems that this was part of a series of commits to optimize RegisterWorkerToRaylet to not have to request a port from the raylet and instead connect with a user recommended one. It seems that this option to provide a port is more of a suggestion since it could be unavailable, not used for some reason which in this case the core_worker_server_ will decide the port when the Run() method is called as it currently does. The reason I want to remove this method call/code is that the current call to RegisterWorkerToRaylet is broken and it was broken in the original pull request meaning it wasn't tested. We could reintroduce it later if necessary. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/mock/ray/raylet/worker_pool.h | 6 - src/ray/core_worker/core_worker.cc | 131 +++--------------- src/ray/core_worker/core_worker.h | 11 -- src/ray/core_worker/core_worker_options.h | 20 +-- src/ray/raylet/format/node_manager.fbs | 22 --- src/ray/raylet/local_task_manager_test.cc | 7 - src/ray/raylet/node_manager.cc | 115 ++++----------- src/ray/raylet/node_manager.h | 11 +- .../scheduling/cluster_task_manager_test.cc | 7 - src/ray/raylet/worker_pool.cc | 33 ----- src/ray/raylet/worker_pool.h | 10 -- src/ray/raylet_client/raylet_client.cc | 2 - 12 files changed, 52 insertions(+), 323 deletions(-) diff --git a/src/mock/ray/raylet/worker_pool.h b/src/mock/ray/raylet/worker_pool.h index 6141c615ff66..731e59abd424 100644 --- a/src/mock/ray/raylet/worker_pool.h +++ b/src/mock/ray/raylet/worker_pool.h @@ -77,12 +77,6 @@ class MockWorkerPool : public WorkerPoolInterface { StartupToken worker_startup_token, std::function send_reply_callback), (override)); - MOCK_METHOD(Status, - RegisterWorker, - (const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token), - (override)); MOCK_METHOD(void, OnWorkerStarted, (const std::shared_ptr &worker), diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 631b7a7a9fbf..8c0a231f1f03 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -308,61 +308,6 @@ Status CoreWorker::RegisterWorkerToRaylet(raylet::RayletConnection &conn, return Status::OK(); } -Status CoreWorker::RegisterWorkerToRayletWithPort( - raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - int port) { - flatbuffers::FlatBufferBuilder fbb; - // TODO(suquark): Use `WorkerType` in `common.proto` without converting to int. - auto register_client_request = - protocol::CreateRegisterClientRequest(fbb, - static_cast(worker_type), - to_flatbuf(fbb, worker_id), - getpid(), - startup_token, - to_flatbuf(fbb, job_id), - runtime_env_hash, - language, - fbb.CreateString(ip_address), - /*port=*/port, - fbb.CreateString(serialized_job_config)); - auto announce_port_message = - protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString("")); - auto message_with_port = protocol::CreateRegisterWorkerWithPortRequest( - fbb, std::move(register_client_request), std::move(announce_port_message)); - fbb.Finish(message_with_port); - - // Register the process ID with the raylet. - // NOTE(swang): If raylet exits and we are registered as a worker, we will get killed. - std::vector reply; - auto request_status = - conn.AtomicRequestReply(MessageType::RegisterWorkerWithPortRequest, - MessageType::RegisterWorkerWithPortReply, - &reply, - &fbb); - if (!request_status.ok()) { - return Status( - request_status.code(), - std::string("[RayletClient] Unable to register worker with port to raylet. ") + - request_status.message()); - } - auto reply_message = - flatbuffers::GetRoot(reply.data()); - bool success = reply_message->success(); - if (!success) { - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); - } - - return Status::OK(); -} - CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) : options_(std::move(options)), get_call_site_(RayConfig::instance().record_ref_creation_sites() @@ -450,41 +395,27 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) auto raylet_conn = std::make_unique( io_service_, options_.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); - const bool raylet_id_assigned = options_.assigned_raylet_id.has_value(); - const bool worker_port_assigned = options_.assigned_worker_port.has_value(); - NodeID local_raylet_id = raylet_id_assigned ? *options_.assigned_raylet_id : NodeID{}; - int assigned_port = worker_port_assigned ? *options_.assigned_worker_port : 0; - // Sanity check invariant: both should be assigned for worker, neither assigned for - // driver. - RAY_CHECK((raylet_id_assigned && worker_port_assigned) || - (!raylet_id_assigned && !worker_port_assigned)); - - // TODO(hjiang): Use `is_worker` / `is_driver` boolean to replace repeated `has_value` - // check. - if (!options_.assigned_worker_port.has_value()) { - // TODO(hjiang): In the next PR we will pass down port number and raylet id and use - // them directly. Then we need to rename `RegisterWorkerToRaylet` to - // `RegisterDriverToRaylet`. - Status raylet_client_status = - RegisterWorkerToRaylet(*raylet_conn, - GetWorkerID(), - options_.worker_type, - worker_context_.GetCurrentJobID(), - options_.runtime_env_hash, - options_.language, - options_.node_ip_address, - options_.serialized_job_config, - options_.startup_token, - &local_raylet_id, - &assigned_port); - if (!raylet_client_status.ok()) { - // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. - RAY_LOG(ERROR).WithField(worker_id) - << "Failed to register worker to Raylet: " << raylet_client_status; - QuickExit(); - } - RAY_CHECK_GE(assigned_port, 0); + NodeID local_raylet_id; + int assigned_port = 0; + + Status raylet_client_status = RegisterWorkerToRaylet(*raylet_conn, + GetWorkerID(), + options_.worker_type, + worker_context_.GetCurrentJobID(), + options_.runtime_env_hash, + options_.language, + options_.node_ip_address, + options_.serialized_job_config, + options_.startup_token, + &local_raylet_id, + &assigned_port); + if (!raylet_client_status.ok()) { + // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. + RAY_LOG(ERROR).WithField(worker_id) + << "Failed to register worker to Raylet: " << raylet_client_status; + QuickExit(); } + RAY_CHECK_GE(assigned_port, 0); // Initialize raylet client. // NOTE(edoakes): the core_worker_server_ must be running before registering with @@ -988,26 +919,10 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) // Verify driver and worker are never mixed in the same process. RAY_CHECK_EQ(options_.worker_type != WorkerType::DRIVER, niced); #endif - - // Tell the raylet the port that we are listening on, only do when port hasn't been - // announced. + // Tell the raylet the port that we are listening on. // NOTE: This also marks the worker as available in Raylet. We do this at the very end // in case there is a problem during construction. - if (options_.assigned_worker_port.has_value()) { - Status s = RegisterWorkerToRayletWithPort(*raylet_conn, - GetWorkerID(), - options_.worker_type, - worker_context_.GetCurrentJobID(), - options_.runtime_env_hash, - options_.language, - options_.node_ip_address, - options_.serialized_job_config, - options_.startup_token, - assigned_port); - RAY_CHECK_OK(s); - } else { - ConnectToRayletInternal(); - } + ConnectToRayletInternal(); } // NOLINT(readability/fn_size) CoreWorker::~CoreWorker() { RAY_LOG(INFO) << "Core worker is destructed"; } @@ -1068,8 +983,6 @@ void CoreWorker::ConnectToRayletInternal() { core_worker_server_->GetPort(), options_.entrypoint); RAY_CHECK_OK(status) << "Failed to announce driver's port to raylet and GCS"; } else { - // TODO(hjiang): In the future this function should only accessed by driver, should - // delete worker branch. Status status = local_raylet_client_->AnnounceWorkerPortForWorker(core_worker_server_->GetPort()); RAY_CHECK_OK(status) << "Failed to announce worker's port to raylet and GCS"; diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 00f993b7f4fe..2a4c70d9cc79 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1352,17 +1352,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { NodeID *raylet_id, int *port); - Status RegisterWorkerToRayletWithPort(raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - int port); - std::shared_ptr OverrideTaskOrActorRuntimeEnvInfo( const std::string &serialized_runtime_env_info) const; diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 6cfd2978398e..5c89fb56db49 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -15,7 +15,6 @@ #pragma once #include -#include #include #include #include @@ -108,13 +107,8 @@ struct CoreWorkerOptions { entrypoint(""), worker_launch_time_ms(-1), worker_launched_time_ms(-1), - assigned_worker_port(std::nullopt), - assigned_raylet_id(std::nullopt), debug_source(""), - enable_resource_isolation(false) { - // TODO(hjiang): Add invariant check: for worker, both should be assigned; for driver, - // neither should be assigned. - } + enable_resource_isolation(false) {} /// Type of this worker (i.e., DRIVER or WORKER). WorkerType worker_type; @@ -214,18 +208,6 @@ struct CoreWorkerOptions { std::string entrypoint; int64_t worker_launch_time_ms; int64_t worker_launched_time_ms; - /// Available port number for the worker. - /// - /// TODO(hjiang): Figure out how to assign available port at core worker start, also - /// need to add an end-to-end integration test. - /// - /// On the next end-to-end integrartion PR, we should check - /// - non-empty for worker - /// - and empty for driver - std::optional assigned_worker_port; - /// Same as [assigned_worker_port], will be assigned for worker, and left empty for - /// driver. - std::optional assigned_raylet_id; // Source information for `CoreWorker`, used for debugging and informational purpose, // rather than functional purpose. diff --git a/src/ray/raylet/format/node_manager.fbs b/src/ray/raylet/format/node_manager.fbs index a945155f8b1b..68b331f67dfe 100644 --- a/src/ray/raylet/format/node_manager.fbs +++ b/src/ray/raylet/format/node_manager.fbs @@ -73,14 +73,6 @@ enum MessageType:int { ConnectClient, // Subscribe to Plasma updates. SubscribePlasmaReady, - // [RegisterClientWithPort] series is the combination for [RegisterClient] and [AnnounceWorkerPort]. - // - // Send an initial connection message to the raylet with port assigned. This is sent - // from a worker to a raylet. - // The corresponding response type is [RegisterWorkerWithPortReply]. - RegisterWorkerWithPortRequest, - // Response for worker registration and port announcement. - RegisterWorkerWithPortReply, } table Task { @@ -154,20 +146,6 @@ table RegisterClientReply { port: int; } -table RegisterWorkerWithPortRequest { - // Request to register client. - request_client_request: RegisterClientRequest; - // Request to assign port. - announcement_port_request: AnnounceWorkerPort; -} - -table RegisterWorkerWithPortReply { - // Whether the announcement and job registration succeeded. - success: bool; - // The reason of registration failure. - failure_reason: string; -} - table AnnounceWorkerPort { // Port that this worker is listening on. port: int; diff --git a/src/ray/raylet/local_task_manager_test.cc b/src/ray/raylet/local_task_manager_test.cc index d01dde3411f3..fe505a303340 100644 --- a/src/ray/raylet/local_task_manager_test.cc +++ b/src/ray/raylet/local_task_manager_test.cc @@ -181,13 +181,6 @@ class MockWorkerPool : public WorkerPoolInterface { return Status::Invalid("Not used."); } - Status RegisterWorker(const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token) override { - RAY_CHECK(false) << "Not used."; - return Status::Invalid("Not used."); - } - boost::optional GetJobConfig( const JobID &job_id) const override { RAY_CHECK(false) << "Not used."; diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 3b6a83ae031c..66d553c16543 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1021,9 +1021,6 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & case protocol::MessageType::AnnounceWorkerPort: { ProcessAnnounceWorkerPortMessage(client, message_data); } break; - case protocol::MessageType::RegisterWorkerWithPortRequest: { - ProcessRegisterClientAndAnnouncePortMessage(client, message_data); - } break; case protocol::MessageType::ActorCreationTaskDone: { if (registered_worker) { // Worker may send this message after it was disconnected. @@ -1080,14 +1077,12 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & void NodeManager::ProcessRegisterClientRequestMessage( const std::shared_ptr &client, const uint8_t *message_data) { auto *message = flatbuffers::GetRoot(message_data); - RAY_UNUSED( - ProcessRegisterClientRequestMessageImpl(client, message, /*port=*/std::nullopt)); + RAY_UNUSED(ProcessRegisterClientRequestMessageImpl(client, message)); } Status NodeManager::ProcessRegisterClientRequestMessageImpl( const std::shared_ptr &client, - const ray::protocol::RegisterClientRequest *message, - std::optional port) { + const ray::protocol::RegisterClientRequest *message) { client->Register(); Language language = static_cast(message->language()); @@ -1118,34 +1113,30 @@ Status NodeManager::ProcessRegisterClientRequestMessageImpl( worker_startup_token)); std::function send_reply_callback; - if (port.has_value()) { - worker->SetAssignedPort(*port); - } else { - send_reply_callback = [this, client](Status status, int assigned_port) { - flatbuffers::FlatBufferBuilder fbb; - auto reply = - ray::protocol::CreateRegisterClientReply(fbb, - status.ok(), - fbb.CreateString(status.ToString()), - to_flatbuf(fbb, self_node_id_), - assigned_port); - fbb.Finish(reply); - client->WriteMessageAsync( - static_cast(protocol::MessageType::RegisterClientReply), - fbb.GetSize(), - fbb.GetBufferPointer(), - [this, client](const ray::Status &status) { - if (!status.ok()) { - DisconnectClient(client, - /*graceful=*/false, - rpc::WorkerExitType::SYSTEM_ERROR, - "Worker is failed because the raylet couldn't reply the " - "registration request: " + - status.ToString()); - } - }); - }; - } + send_reply_callback = [this, client](Status status, int assigned_port) { + flatbuffers::FlatBufferBuilder fbb; + auto reply = + ray::protocol::CreateRegisterClientReply(fbb, + status.ok(), + fbb.CreateString(status.ToString()), + to_flatbuf(fbb, self_node_id_), + assigned_port); + fbb.Finish(reply); + client->WriteMessageAsync( + static_cast(protocol::MessageType::RegisterClientReply), + fbb.GetSize(), + fbb.GetBufferPointer(), + [this, client](const ray::Status &status) { + if (!status.ok()) { + DisconnectClient(client, + /*graceful=*/false, + rpc::WorkerExitType::SYSTEM_ERROR, + "Worker is failed because the raylet couldn't reply the " + "registration request: " + + status.ToString()); + } + }); + }; if (worker_type == rpc::WorkerType::WORKER || worker_type == rpc::WorkerType::SPILL_WORKER || @@ -1162,14 +1153,8 @@ Status NodeManager::RegisterForNewWorker( pid_t pid, const StartupToken &worker_startup_token, std::function send_reply_callback) { - Status status = Status::OK(); - if (send_reply_callback) { - status = worker_pool_.RegisterWorker( - worker, pid, worker_startup_token, send_reply_callback); - } else { - status = worker_pool_.RegisterWorker(worker, pid, worker_startup_token); - } - + Status status = + worker_pool_.RegisterWorker(worker, pid, worker_startup_token, send_reply_callback); if (!status.ok()) { // If the worker failed to register to Raylet, trigger task dispatching here to // allow new worker processes to be started (if capped by @@ -1185,9 +1170,6 @@ Status NodeManager::RegisterForNewDriver( const JobID &job_id, const ray::protocol::RegisterClientRequest *message, std::function send_reply_callback) { - RAY_CHECK_GE(pid, 0); - RAY_CHECK(send_reply_callback); - worker->SetProcess(Process::FromPid(pid)); // Compute a dummy driver task id from a given driver. // The task id set in the worker here should be consistent with the task @@ -1276,47 +1258,6 @@ void NodeManager::SendPortAnnouncementResponse( }); } -void NodeManager::ProcessRegisterClientAndAnnouncePortMessage( - const std::shared_ptr &client, const uint8_t *message_data) { - auto *message = - flatbuffers::GetRoot(message_data); - const ray::protocol::RegisterClientRequest *register_client_request = - message->request_client_request(); - auto status = ProcessRegisterClientRequestMessageImpl( - client, register_client_request, register_client_request->port()); - if (!status.ok()) { - SendRegisterClientAndAnnouncePortResponse(client, std::move(status)); - return; - } - ProcessAnnounceWorkerPortMessageImpl(client, message->announcement_port_request()); - - // TODO(hjiang): In the next PR, `ProcessAnnounceWorkerPortMessageImpl` should split - // into two parts, one for worker, another for driver. - SendRegisterClientAndAnnouncePortResponse(client, Status::OK()); -} - -void NodeManager::SendRegisterClientAndAnnouncePortResponse( - const std::shared_ptr &client, Status status) { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateRegisterWorkerWithPortReply( - fbb, status.ok(), fbb.CreateString(status.ToString())); - fbb.Finish(message); - - client->WriteMessageAsync( - static_cast(protocol::MessageType::RegisterWorkerWithPortReply), - fbb.GetSize(), - fbb.GetBufferPointer(), - [this, client](const ray::Status &status) { - if (!status.ok()) { - DisconnectClient(client, - /*graceful=*/false, - rpc::WorkerExitType::SYSTEM_ERROR, - "Failed to send RegisterWorkerWithPortReply to client: " + - status.ToString()); - } - }); -} - void NodeManager::HandleWorkerAvailable(const std::shared_ptr &worker) { RAY_CHECK(worker); diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 1235a62d9f33..8dd1a74e8b93 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -455,8 +455,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, const std::shared_ptr &client, const uint8_t *message_data); Status ProcessRegisterClientRequestMessageImpl( const std::shared_ptr &client, - const ray::protocol::RegisterClientRequest *message, - std::optional port); + const ray::protocol::RegisterClientRequest *message); // Register a new worker into worker pool. Status RegisterForNewWorker(std::shared_ptr worker, @@ -481,18 +480,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, const std::shared_ptr &client, const ray::protocol::AnnounceWorkerPort *message); - // Send status of client registration and port announcement to client side. - void SendRegisterClientAndAnnouncePortResponse( - const std::shared_ptr &client, Status status); - // Send status of port announcement to client side. void SendPortAnnouncementResponse(const std::shared_ptr &client, Status status); - /// Process client registration and port announcement. - void ProcessRegisterClientAndAnnouncePortMessage( - const std::shared_ptr &client, const uint8_t *message_data); - /// Handle the case that a worker is available. /// /// \param worker The pointer to the worker diff --git a/src/ray/raylet/scheduling/cluster_task_manager_test.cc b/src/ray/raylet/scheduling/cluster_task_manager_test.cc index 8f9f8db8104e..0b0c1be058eb 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager_test.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager_test.cc @@ -178,13 +178,6 @@ class MockWorkerPool : public WorkerPoolInterface { return Status::Invalid("Not used."); } - Status RegisterWorker(const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token) override { - RAY_CHECK(false) << "Not used."; - return Status::Invalid("Not used."); - } - boost::optional GetJobConfig( const JobID &job_id) const override { RAY_CHECK(false) << "Not used."; diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index caefa8daf69a..c8e539f265e0 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -773,8 +773,6 @@ boost::optional WorkerPool::GetJobConfig( : boost::optional(iter->second); } -// TODO(hjiang): In the next integration PR, worker should have port assigned and no -// [send_reply_callback]. Should delete this overload. Status WorkerPool::RegisterWorker(const std::shared_ptr &worker, pid_t pid, StartupToken worker_startup_token, @@ -819,37 +817,6 @@ Status WorkerPool::RegisterWorker(const std::shared_ptr &worker return Status::OK(); } -Status WorkerPool::RegisterWorker(const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token) { - RAY_CHECK(worker); - auto &state = GetStateForLanguage(worker->GetLanguage()); - auto it = state.worker_processes.find(worker_startup_token); - if (it == state.worker_processes.end()) { - RAY_LOG(WARNING) << "Received a register request from an unknown token: " - << worker_startup_token; - return Status::Invalid("Unknown worker"); - } - - auto process = Process::FromPid(pid); - worker->SetProcess(process); - - auto &starting_process_info = it->second; - auto end = std::chrono::high_resolution_clock::now(); - auto duration = std::chrono::duration_cast( - end - starting_process_info.start_time); - - // TODO(hjiang): Add tag to indicate whether port has been assigned beforehand. - STATS_worker_register_time_ms.Record(duration.count()); - RAY_LOG(DEBUG) << "Registering worker " << worker->WorkerId() << " with pid " << pid - << ", register cost: " << duration.count() - << ", worker_type: " << rpc::WorkerType_Name(worker->GetWorkerType()) - << ", startup token: " << worker_startup_token; - - state.registered_workers.insert(worker); - return Status::OK(); -} - void WorkerPool::OnWorkerStarted(const std::shared_ptr &worker) { auto &state = GetStateForLanguage(worker->GetLanguage()); const StartupToken worker_startup_token = worker->GetStartupToken(); diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index b5965b1ee2e8..3b394e3e4b88 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -229,10 +229,6 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { StartupToken worker_startup_token, std::function send_reply_callback) = 0; - virtual Status RegisterWorker(const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token) = 0; - virtual boost::optional GetJobConfig( const JobID &job_id) const = 0; @@ -381,12 +377,6 @@ class WorkerPool : public WorkerPoolInterface { StartupToken worker_startup_token, std::function send_reply_callback) override; - // Similar to the above function overload, but the port has been assigned, but directly - // returns registration status without taking a callback. - Status RegisterWorker(const std::shared_ptr &worker, - pid_t pid, - StartupToken worker_startup_token) override; - /// To be invoked when a worker is started. This method should be called when the worker /// announces its port. /// diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 52d8e8daa7a9..f81b6134178e 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -107,8 +107,6 @@ Status RayletClient::Disconnect( &fbb); } -// TODO(hjiang): After we merge register client and announce port, should delete this -// function. Status RayletClient::AnnounceWorkerPortForWorker(int port) { flatbuffers::FlatBufferBuilder fbb; auto message = protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString("")); From a83752fab45eabb09fb04ec9ad7c049231907519 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Wed, 23 Jul 2025 18:56:37 +0200 Subject: [PATCH 0326/1566] [RLlib] - Remove some more old 'enable_new_api_stack' flags. (#54853) Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 10 +++++----- .../checkpointing_tests/test_e2e_rl_module_restore.py | 7 ------- rllib/tuned_examples/appo/cartpole_appo.py | 1 - 3 files changed, 5 insertions(+), 13 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 327bd90d220b..63c751aa3b19 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2603,7 +2603,7 @@ run: timeout: 1800 - script: python learning_tests/tuned_examples/appo/pong_appo.py --enable-new-api-stack --num-learners=0 --num-env-runners=46 --stop-reward=19.5 --as-release-test + script: python learning_tests/tuned_examples/appo/pong_appo.py --num-learners=0 --num-env-runners=46 --stop-reward=19.5 --as-release-test alert: default @@ -2634,7 +2634,7 @@ run: timeout: 5400 - script: python learning_tests/tuned_examples/appo/halfcheetah_appo.py --enable-new-api-stack --num-learners=0 --num-env-runners=31 --stop-reward=1000.0 --as-release-test + script: python learning_tests/tuned_examples/appo/halfcheetah_appo.py --num-learners=0 --num-env-runners=31 --stop-reward=1000.0 --as-release-test alert: default @@ -2704,7 +2704,7 @@ run: timeout: 1800 - script: python learning_tests/tuned_examples/impala/pong_impala.py --enable-new-api-stack --num-learners=0 --num-env-runners=46 --stop-reward=19.5 --as-release-test + script: python learning_tests/tuned_examples/impala/pong_impala.py --num-learners=0 --num-env-runners=46 --stop-reward=19.5 --as-release-test alert: default @@ -2738,7 +2738,7 @@ run: timeout: 1200 - script: python learning_tests/tuned_examples/ppo/atari_ppo.py --enable-new-api-stack --env=ale_py:ALE/Pong-v5 --num-learners=4 --num-env-runners=95 --stop-reward=20.0 --as-release-test + script: python learning_tests/tuned_examples/ppo/atari_ppo.py --env=ale_py:ALE/Pong-v5 --num-learners=4 --num-env-runners=95 --stop-reward=20.0 --as-release-test alert: default @@ -2773,7 +2773,7 @@ run: timeout: 7200 - script: python learning_tests/tuned_examples/sac/halfcheetah_sac.py --enable-new-api-stack --num-learners=4 --num-env-runners=8 --stop-reward=1000.0 --as-release-test + script: python learning_tests/tuned_examples/sac/halfcheetah_sac.py --num-learners=4 --num-env-runners=8 --stop-reward=1000.0 --as-release-test alert: default diff --git a/release/rllib_tests/checkpointing_tests/test_e2e_rl_module_restore.py b/release/rllib_tests/checkpointing_tests/test_e2e_rl_module_restore.py index e4ea61f092c7..b2380f8c7d44 100644 --- a/release/rllib_tests/checkpointing_tests/test_e2e_rl_module_restore.py +++ b/release/rllib_tests/checkpointing_tests/test_e2e_rl_module_restore.py @@ -50,7 +50,6 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs): config = ( PPOConfig() - .experimental(_enable_new_api_stack=True) .env_runners(rollout_fragment_length=4) .environment(MultiAgentCartPole, env_config={"num_agents": num_agents}) .training(num_sgd_iter=1, train_batch_size=8, sgd_minibatch_size=8) @@ -86,7 +85,6 @@ def test_e2e_load_simple_marl_module(self): module_specs=module_specs, load_state_path=marl_checkpoint_path, ) - config.experimental(_enable_new_api_stack=True) config.rl_module(rl_module_spec=marl_module_spec_from_checkpoint) # Create the algorithm with multiple nodes and check if the weights @@ -146,7 +144,6 @@ def test_e2e_load_complex_marl_module(self): module_specs=module_specs, load_state_path=marl_checkpoint_path, ) - config.experimental(_enable_new_api_stack=True) config.rl_module(rl_module_spec=marl_module_spec_from_checkpoint) # create the algorithm with multiple nodes and check if the weights @@ -178,7 +175,6 @@ def test_e2e_load_rl_module(self): config = ( PPOConfig() - .experimental(_enable_new_api_stack=True) .env_runners(rollout_fragment_length=4) .environment("CartPole-v1") .training(num_sgd_iter=1, train_batch_size=8, sgd_minibatch_size=8) @@ -208,8 +204,6 @@ def test_e2e_load_rl_module(self): catalog_class=PPOCatalog, load_state_path=module_ckpt_path, ) - - config.experimental(_enable_new_api_stack=True) config.rl_module(rl_module_spec=module_to_load_spec) # create the algorithm with multiple nodes and check if the weights @@ -282,7 +276,6 @@ def test_e2e_load_complex_marl_module_with_modules_to_load(self): "policy_0", }, ) - config.experimental(_enable_new_api_stack=True) config.rl_module(rl_module_spec=marl_module_spec_from_checkpoint) # create the algorithm with multiple nodes and check if the weights diff --git a/rllib/tuned_examples/appo/cartpole_appo.py b/rllib/tuned_examples/appo/cartpole_appo.py index bfc1db412b60..17ed999198cc 100644 --- a/rllib/tuned_examples/appo/cartpole_appo.py +++ b/rllib/tuned_examples/appo/cartpole_appo.py @@ -24,7 +24,6 @@ ) ) - if __name__ == "__main__": from ray.rllib.utils.test_utils import run_rllib_example_script_experiment From 73206e555de85a4e3510e433660324daecdd1820 Mon Sep 17 00:00:00 2001 From: angelinalg <122562471+angelinalg@users.noreply.github.com> Date: Wed, 23 Jul 2025 12:48:19 -0700 Subject: [PATCH 0327/1566] shorten title for MCP server example (#54842) Signed-off-by: Douglas Strodtman --- doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb | 2 +- doc/source/ray-overview/examples/mcp-ray-serve/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb index 99c59a8028be..5e633463ddeb 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.ipynb @@ -5,7 +5,7 @@ "id": "e3a1b273", "metadata": {}, "source": [ - "# Deploy custom MCP servers with Ray Serve and Anyscale Services\n", + "# Deploy MCP servers\n", "\n", "
    \n", " \n", diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/README.md b/doc/source/ray-overview/examples/mcp-ray-serve/README.md index dddcfc43b689..376d543bbe28 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/README.md +++ b/doc/source/ray-overview/examples/mcp-ray-serve/README.md @@ -1,4 +1,4 @@ -# Deploy custom MCP servers with Ray Serve and Anyscale Services +# Deploy MCP servers
      From 16f03927640624e36771a9d1ae8f7885c97285f6 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Wed, 23 Jul 2025 13:01:00 -0700 Subject: [PATCH 0328/1566] [data] Handle unhashable types in OneHotEncoding (#54863) ## Why are these changes needed? Handles the case that a column has mixed types whereby some of the types are unhashable. ## Related issue number Closes #[54823](https://github.com/ray-project/ray/issues/54823) ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/preprocessors/encoder.py | 12 ++++++++++-- .../data/tests/preprocessors/test_encoder.py | 19 +++++++++++++++++++ 2 files changed, 29 insertions(+), 2 deletions(-) diff --git a/python/ray/data/preprocessors/encoder.py b/python/ray/data/preprocessors/encoder.py index e711f23ef563..6f95900b2740 100644 --- a/python/ray/data/preprocessors/encoder.py +++ b/python/ray/data/preprocessors/encoder.py @@ -268,6 +268,15 @@ def _fit(self, dataset: Dataset) -> Preprocessor: def _transform_pandas(self, df: pd.DataFrame): _validate_df(df, *self.columns) + from typing import Any + + def safe_get(v: Any, stats: Dict[str, int]): + from collections.abc import Hashable + + if isinstance(v, Hashable): + return stats.get(v, -1) + else: + return -1 # Unhashable type treated as a missing category # Compute new one-hot encoded columns for column, output_column in zip(self.columns, self.output_columns): @@ -277,8 +286,7 @@ def _transform_pandas(self, df: pd.DataFrame): stats = self.stats_[f"unique_values({column})"] num_categories = len(stats) one_hot = np.zeros((len(df), num_categories), dtype=int) - - codes = df[column].apply(lambda v, m=stats: m.get(v, -1)).to_numpy() + codes = df[column].apply(lambda v: safe_get(v, stats)).to_numpy() valid_rows = codes != -1 one_hot[np.nonzero(valid_rows)[0], codes[valid_rows].astype(int)] = 1 df[output_column] = one_hot.tolist() diff --git a/python/ray/data/tests/preprocessors/test_encoder.py b/python/ray/data/tests/preprocessors/test_encoder.py index 27f79274b44a..bb1b961f659c 100644 --- a/python/ray/data/tests/preprocessors/test_encoder.py +++ b/python/ray/data/tests/preprocessors/test_encoder.py @@ -390,6 +390,25 @@ def test_one_hot_encoder_with_max_categories(): pd.testing.assert_frame_equal(df_out, expected_df, check_like=True) +def test_one_hot_encoder_mixed_data_types(): + """Tests OneHotEncoder functionality with mixed data types (strings and lists).""" + + test_inputs = {"category": ["1", [1]]} + test_pd_df = pd.DataFrame(test_inputs) + test_data_for_fitting = {"category": ["1", "[1]", "a", "[]", "True"]} + test_ray_dataset_for_fitting = ray.data.from_pandas( + pd.DataFrame(test_data_for_fitting) + ) + + encoder = OneHotEncoder(columns=["category"]) + encoder.fit(test_ray_dataset_for_fitting) + + pandas_output = encoder.transform_batch(test_pd_df) + expected_output = pd.DataFrame({"category": [[1, 0, 0, 0, 0], [0, 0, 0, 0, 0]]}) + + pd.testing.assert_frame_equal(pandas_output, expected_output) + + def test_multi_hot_encoder(): """Tests basic MultiHotEncoder functionality.""" col_a = ["red", "green", "blue", "red"] From 29b722254c4815dc417952f27e4f9e0a4bfecc80 Mon Sep 17 00:00:00 2001 From: avibasnet31 Date: Wed, 23 Jul 2025 13:26:38 -0700 Subject: [PATCH 0329/1566] [core] Add TaskStatus_Name function to output string from enum (#54845) Signed-off-by: avibasnet31 Signed-off-by: Dhyey Shah Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_manager.cc | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index ee2288ce0ff8..5e997f0f537b 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -28,6 +28,7 @@ #include "ray/gcs/pb_util.h" #include "ray/util/exponential_backoff.h" #include "ray/util/util.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { @@ -1501,7 +1502,8 @@ void TaskManager::MarkDependenciesResolved(const TaskID &task_id) { } RAY_CHECK(it->second.GetStatus() == rpc::TaskStatus::PENDING_ARGS_AVAIL) - << ", task ID = " << it->first << ", status = " << it->second.GetStatus(); + << ", task ID = " << it->first + << ", status = " << rpc::TaskStatus_Name(it->second.GetStatus()); SetTaskStatus(it->second, rpc::TaskStatus::PENDING_NODE_ASSIGNMENT); } @@ -1514,7 +1516,8 @@ void TaskManager::MarkTaskWaitingForExecution(const TaskID &task_id, return; } RAY_CHECK(it->second.GetStatus() == rpc::TaskStatus::PENDING_NODE_ASSIGNMENT) - << ", task ID = " << it->first << ", status = " << it->second.GetStatus(); + << ", task ID = " << it->first + << ", status = " << rpc::TaskStatus_Name(it->second.GetStatus()); it->second.SetNodeId(node_id); SetTaskStatus(it->second, rpc::TaskStatus::SUBMITTED_TO_WORKER, @@ -1528,7 +1531,8 @@ void TaskManager::SetTaskStatus( bool include_task_info, std::optional attempt_number) { RAY_LOG(DEBUG).WithField(task_entry.spec.TaskId()) - << "Setting task status from " << task_entry.GetStatus() << " to " << status; + << "Setting task status from " << rpc::TaskStatus_Name(task_entry.GetStatus()) + << " to " << rpc::TaskStatus_Name(status); task_entry.SetStatus(status); const int32_t attempt_number_to_record = From f0e5fd91f56445d94fa1bb4146e856106553c290 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 23 Jul 2025 14:32:38 -0700 Subject: [PATCH 0330/1566] [core][telemetry/11] record histogram metric e2e (#53740) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This is a series of PR to migrate metric collection from opencencus to openlemetry. For context on the existing components, see https://github.com/ray-project/ray/pull/53098. -------- This PR adds support for (i) metric registration and (ii) metric value setting of `histogram` on the c++ side. It also supports histogram on the python side and glue everything together to make things work end-to-end. **Note:** Histogram metrics are exported as approximations in the new OpenTelemetry stack. This is because we attempt to reconstruct the original histogram data points—based on the internal representation sent from the C++ side—before exporting them to Prometheus. We evaluated several approaches: - Solution 1: Approximate each bucket with its midpoint value. This is the approach we ultimately chose, as it offers a reasonable approximation of the histogram’s shape while keeping the implementation simple. - Solution 2: Export a single data point per interval using sum / count. We rejected this option because it discards the original data point count, which can be important for interpretation. - Solution 3: Export an additional metric on the C++ side to represent the sum per bucket for each histogram. We did not pursue this due to the added code complexity and challenges in atomically exporting two metrics within the same interval. - Solution 4: Export each histogram data point as a separate gauge. This approach was dismissed due to potential performance overhead and increased implementation complexity. - Solution 5: Implement a custom OpenTelemetry exporter to bypass the per-data-point recording model of the official Prometheus exporter. We chose not to go down this path to avoid adding significant complexity just for histogram metrics. Test: - CI - I also pulled the histogram metric into a separated test --------- Signed-off-by: can Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../open_telemetry_metric_recorder.py | 50 +++++++ .../modules/reporter/reporter_agent.py | 127 +++++++++++++----- python/ray/tests/test_metrics_agent.py | 73 +++++++--- .../test_open_telemetry_metric_recorder.py | 29 +++- src/ray/stats/metric.cc | 44 +++--- src/ray/stats/metric.h | 39 +++--- src/ray/stats/stats.h | 44 +++--- .../tests/metric_with_open_telemetry_test.cc | 25 ++++ .../open_telemetry_metric_recorder.cc | 49 +++++++ .../open_telemetry_metric_recorder.h | 9 +- .../open_telemetry_metric_recorder_test.cc | 7 + 11 files changed, 375 insertions(+), 121 deletions(-) diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index 426272dc92f7..59eed76010c7 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -26,6 +26,7 @@ def __init__(self): self._lock = threading.Lock() self._registered_instruments = {} self._observations_by_name = defaultdict(dict) + self._histogram_bucket_midpoints = defaultdict(list) prometheus_reader = PrometheusMetricReader() provider = MeterProvider(metric_readers=[prometheus_reader]) @@ -99,6 +100,53 @@ def register_sum_metric(self, name: str, description: str) -> None: ) self._registered_instruments[name] = instrument + def register_histogram_metric( + self, name: str, description: str, buckets: List[float] + ) -> None: + """ + Register a histogram metric with the given name and description. + """ + with self._lock: + if name in self._registered_instruments: + # Histogram with the same name is already registered. This is a common + # case when metrics are exported from multiple Ray components (e.g., + # raylet, worker, etc.) running in the same node. Since each component + # may export metrics with the same name, the same metric might be + # registered multiple times. + return + + instrument = self.meter.create_histogram( + name=f"{NAMESPACE}_{name}", + description=description, + unit="1", + explicit_bucket_boundaries_advisory=buckets, + ) + self._registered_instruments[name] = instrument + + # calculate the bucket midpoints; this is used for converting histogram + # internal representation to approximated histogram data points. + for i in range(len(buckets)): + if i == 0: + lower_bound = 0.0 if buckets[0] > 0 else buckets[0] * 2.0 + self._histogram_bucket_midpoints[name].append( + lower_bound + buckets[0] / 2.0 + ) + else: + self._histogram_bucket_midpoints[name].append( + (buckets[i] + buckets[i - 1]) / 2.0 + ) + # Approximated mid point for Inf+ bucket. Inf+ bucket is an implicit bucket + # that is not part of buckets. + self._histogram_bucket_midpoints[name].append( + 1.0 if buckets[-1] <= 0 else buckets[-1] * 2.0 + ) + + def get_histogram_bucket_midpoints(self, name: str) -> List[float]: + """ + Get the bucket midpoints for a histogram metric with the given name. + """ + return self._histogram_bucket_midpoints[name] + def set_metric_value(self, name: str, tags: dict, value: float): """ Set the value of a metric with the given name and tags. If the metric is not @@ -119,6 +167,8 @@ def set_metric_value(self, name: str, tags: dict, value: float): instrument.add(value, attributes=tags) elif isinstance(instrument, metrics.UpDownCounter): instrument.add(value, attributes=tags) + elif isinstance(instrument, metrics.Histogram): + instrument.record(value, attributes=tags) else: logger.warning( f"Unsupported synchronous instrument type for metric: {name}." diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index d348b794178d..8b0588cb2086 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -18,6 +18,7 @@ metrics_service_pb2, metrics_service_pb2_grpc, ) +from opentelemetry.proto.metrics.v1.metrics_pb2 import Metric from grpc.aio import ServicerContext @@ -565,6 +566,93 @@ async def ReportOCMetrics(self, request, context): logger.error(traceback.format_exc()) return reporter_pb2.ReportOCMetricsReply() + def _export_histogram_data( + self, + metric: Metric, + ) -> None: + """ + TODO(can-anyscale): once we launch the new open-telemetry stack, we need to + document and communicate that the histogram metric is an approximation to users. + The approximation is good enough for the dashboard to display the histogram + distribution. Only the sum of all data points will be the approximation. See + https://github.com/ray-project/ray/issues/54538 for the complete backlog of Ray + metric infra improvements. + + Export histogram data points to OpenTelemetry Metric Recorder. A histogram + metric is aggregated into several internal representations in C++ side: + - sum of all buckets + - count of all buckets + - count per bucket + + We reconstruct the histogram data points from these internal representations + and export them to OpenTelemetry Metric Recorder. The reconstruction is an + approximation, but it is good enough for the dashboard to display the histogram + data points. + """ + data_points = metric.histogram.data_points + if not data_points: + return + self._open_telemetry_metric_recorder.register_histogram_metric( + metric.name, + metric.description, + data_points[0].explicit_bounds, + ) + for data_point in data_points: + if data_point.count == 0: + continue + + bucket_midpoints = ( + self._open_telemetry_metric_recorder.get_histogram_bucket_midpoints( + metric.name + ) + ) + assert len(bucket_midpoints) == len(data_point.bucket_counts) + tags = {tag.key: tag.value.string_value for tag in data_point.attributes} + for i, bucket_count in enumerate(data_point.bucket_counts): + if bucket_count == 0: + continue + bucket_midpoint = bucket_midpoints[i] + for _ in range(bucket_count): + self._open_telemetry_metric_recorder.set_metric_value( + metric.name, + tags, + bucket_midpoint, + ) + + def _export_number_data( + self, + metric: Metric, + ) -> None: + data_points = [] + if metric.WhichOneof("data") == "gauge": + self._open_telemetry_metric_recorder.register_gauge_metric( + metric.name, + metric.description, + ) + data_points = metric.gauge.data_points + if metric.WhichOneof("data") == "sum": + if metric.sum.is_monotonic: + self._open_telemetry_metric_recorder.register_counter_metric( + metric.name, + metric.description, + ) + else: + self._open_telemetry_metric_recorder.register_sum_metric( + metric.name, + metric.description, + ) + data_points = metric.sum.data_points + for data_point in data_points: + self._open_telemetry_metric_recorder.set_metric_value( + metric.name, + {tag.key: tag.value.string_value for tag in data_point.attributes}, + # Note that all data points received from other Ray components are + # always double values. This is because the c++ apis + # (open_telemetry_metric_recorder.cc) only create metrics with double + # values. + data_point.as_double, + ) + async def Export( self, request: metrics_service_pb2.ExportMetricsServiceRequest, @@ -579,41 +667,10 @@ async def Export( for resource_metrics in request.resource_metrics: for scope_metrics in resource_metrics.scope_metrics: for metric in scope_metrics.metrics: - data_points = [] - # gauge metrics - if metric.WhichOneof("data") == "gauge": - self._open_telemetry_metric_recorder.register_gauge_metric( - metric.name, metric.description or "" - ) - data_points = metric.gauge.data_points - # counter metrics - if metric.WhichOneof("data") == "sum" and metric.sum.is_monotonic: - self._open_telemetry_metric_recorder.register_counter_metric( - metric.name, metric.description or "" - ) - data_points = metric.sum.data_points - # sum metrics - if ( - metric.WhichOneof("data") == "sum" - and not metric.sum.is_monotonic - ): - self._open_telemetry_metric_recorder.register_sum_metric( - metric.name, metric.description or "" - ) - data_points = metric.sum.data_points - for data_point in data_points: - self._open_telemetry_metric_recorder.set_metric_value( - metric.name, - { - tag.key: tag.value.string_value - for tag in data_point.attributes - }, - # Note that all data points received from other Ray - # components are always double values. This is because the - # c++ apis (open_telemetry_metric_recorder.cc) only create - # metrics with double values. - data_point.as_double, - ) + if metric.WhichOneof("data") == "histogram": + self._export_histogram_data(metric) + else: + self._export_number_data(metric) return metrics_service_pb2.ExportMetricsServiceResponse() diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index e873e6261572..307288cf1f47 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -190,7 +190,6 @@ def _setup_cluster_for_test(request, ray_start_cluster): # Add a head node. cluster.add_node( _system_config={ - "metrics_report_interval_ms": 1000, "event_stats_print_interval_ms": 500, "event_stats": True, "enable_metrics_collection": enable_metrics_collection, @@ -242,6 +241,7 @@ async def ping(self): ) histogram = ray.get(ray.put(histogram)) # Test serialization. histogram.observe(1.5, tags=extra_tags) + histogram.observe(0.0, tags=extra_tags) ray.get(worker_should_exit.wait.remote()) a = A.remote() @@ -312,7 +312,6 @@ def test_cases(): [ "test_counter", "test_counter_total", - "test_histogram_bucket", "test_driver_counter", "test_driver_counter_total", "test_gauge", @@ -320,7 +319,6 @@ def test_cases(): if os.environ.get("RAY_experimental_enable_open_telemetry_on_core") != "1" else [ "test_counter_total", - "test_histogram_bucket", "test_driver_counter_total", "test_gauge", ] @@ -359,23 +357,6 @@ def test_cases(): ][0] assert test_driver_counter_sample.value == 1.0 - test_histogram_samples = [ - m for m in metric_samples if "test_histogram" in m.name - ] - buckets = { - m.labels["le"]: m.value - for m in test_histogram_samples - if "_bucket" in m.name - } - # We recorded value 1.5 for the histogram. In Prometheus data model - # the histogram is cumulative. So we expect the count to appear in - # <1.1 and <+Inf buckets. - assert buckets == {"0.1": 0.0, "1.6": 1.0, "+Inf": 1.0} - hist_count = [m for m in test_histogram_samples if "_count" in m.name][0].value - hist_sum = [m for m in test_histogram_samples if "_sum" in m.name][0].value - assert hist_count == 1 - assert hist_sum == 1.5 - # Make sure the gRPC stats are not reported from workers. We disabled # it there because it has too high cardinality. grpc_metrics = [ @@ -713,6 +694,58 @@ def verify(): wait_for_condition(verify, timeout=60) +@pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") +@pytest.mark.parametrize("_setup_cluster_for_test", [True], indirect=True) +def test_histogram(_setup_cluster_for_test): + TEST_TIMEOUT_S = 30 + ( + prom_addresses, + autoscaler_export_addr, + dashboard_export_addr, + ) = _setup_cluster_for_test + + def test_cases(): + components_dict, metric_descriptors, metric_samples = fetch_prometheus( + prom_addresses + ) + metric_names = metric_descriptors.keys() + custom_histogram_metric_name = "ray_test_histogram_bucket" + assert custom_histogram_metric_name in metric_names + assert metric_descriptors[custom_histogram_metric_name].type == "histogram" + + test_histogram_samples = [ + m for m in metric_samples if "test_histogram" in m.name + ] + buckets = { + m.labels["le"]: m.value + for m in test_histogram_samples + if "_bucket" in m.name + } + # In Prometheus data model + # the histogram is cumulative. So we expect the count to appear in + # <1.1 and <+Inf buckets. + assert buckets == {"0.1": 1.0, "1.6": 2.0, "+Inf": 2.0} + hist_count = [m for m in test_histogram_samples if "_count" in m.name][0].value + assert hist_count == 2 + + def wrap_test_case_for_retry(): + try: + test_cases() + return True + except AssertionError: + return False + + try: + wait_for_condition( + wrap_test_case_for_retry, + timeout=TEST_TIMEOUT_S, + retry_interval_ms=1000, # Yield resource for other processes + ) + except RuntimeError: + print(f"The components are {pformat(fetch_prometheus(prom_addresses))}") + test_cases() # Should fail assert + + @pytest.mark.skipif(sys.platform == "win32", reason="Not working in Windows.") @pytest.mark.skipif( os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1", diff --git a/python/ray/tests/test_open_telemetry_metric_recorder.py b/python/ray/tests/test_open_telemetry_metric_recorder.py index a53941fa098b..e20b24563a6a 100644 --- a/python/ray/tests/test_open_telemetry_metric_recorder.py +++ b/python/ray/tests/test_open_telemetry_metric_recorder.py @@ -2,7 +2,7 @@ from unittest.mock import MagicMock, patch import pytest -from opentelemetry.metrics import NoOpCounter, NoOpUpDownCounter +from opentelemetry.metrics import NoOpCounter, NoOpUpDownCounter, NoOpHistogram from ray._private.telemetry.open_telemetry_metric_recorder import ( OpenTelemetryMetricRecorder, @@ -93,6 +93,33 @@ def test_register_sum_metric( mock_logger_warning.assert_not_called() +@patch("ray._private.telemetry.open_telemetry_metric_recorder.logger.warning") +@patch("opentelemetry.metrics.set_meter_provider") +@patch("opentelemetry.metrics.get_meter") +def test_register_histogram_metric( + mock_get_meter, mock_set_meter_provider, mock_logger_warning +): + """ + Test the register_histogram_metric method of OpenTelemetryMetricRecorder. + - Test that it registers a histogram metric with the correct name and description. + - Test that a value can be set for the histogram metric successfully without warnings. + """ + mock_meter = MagicMock() + mock_meter.create_histogram.return_value = NoOpHistogram(name="test_histogram") + mock_get_meter.return_value = mock_meter + recorder = OpenTelemetryMetricRecorder() + recorder.register_histogram_metric( + name="test_histogram", description="Test Histogram", buckets=[1.0, 2.0, 3.0] + ) + assert "test_histogram" in recorder._registered_instruments + recorder.set_metric_value( + name="test_histogram", + tags={"label_key": "label_value"}, + value=10.0, + ) + mock_logger_warning.assert_not_called() + + @patch("opentelemetry.metrics.set_meter_provider") @patch("opentelemetry.metrics.get_meter") def test_record_and_export(mock_get_meter, mock_set_meter_provider): diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index 331436b7581a..e5e620fbb5ae 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -128,29 +128,27 @@ void Metric::Record(double value, TagsType tags) { // // This function is thread-safe. RegisterOpenTelemetryMetric(); - if (OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered(name_)) { - // Collect tags from both the metric-specific tags and the global tags. - absl::flat_hash_map open_telemetry_tags; - std::unordered_set tag_keys_set; - for (const auto &tag_key : tag_keys_) { - tag_keys_set.insert(tag_key.name()); - } - // Insert metric-specific tags that match the expected keys. - for (const auto &tag : tags) { - const std::string &key = tag.first.name(); - if (tag_keys_set.count(key)) { - open_telemetry_tags[key] = tag.second; - } - } - // Add global tags, overwriting any existing tag keys. - for (const auto &tag : StatsConfig::instance().GetGlobalTags()) { - open_telemetry_tags[tag.first.name()] = tag.second; + // Collect tags from both the metric-specific tags and the global tags. + absl::flat_hash_map open_telemetry_tags; + std::unordered_set tag_keys_set; + for (const auto &tag_key : tag_keys_) { + tag_keys_set.insert(tag_key.name()); + } + // Insert metric-specific tags that match the expected keys. + for (const auto &tag : tags) { + const std::string &key = tag.first.name(); + if (tag_keys_set.count(key)) { + open_telemetry_tags[key] = tag.second; } - OpenTelemetryMetricRecorder::GetInstance().SetMetricValue( - name_, std::move(open_telemetry_tags), value); - - return; } + // Add global tags, overwriting any existing tag keys. + for (const auto &tag : StatsConfig::instance().GetGlobalTags()) { + open_telemetry_tags[tag.first.name()] = tag.second; + } + OpenTelemetryMetricRecorder::GetInstance().SetMetricValue( + name_, std::move(open_telemetry_tags), value); + + return; } absl::MutexLock lock(®istration_mutex_); @@ -215,8 +213,8 @@ void Gauge::RegisterView() { } void Histogram::RegisterOpenTelemetryMetric() { - // Histogram is not supported in OpenTelemetry. - return; + OpenTelemetryMetricRecorder::GetInstance().RegisterHistogramMetric( + name_, description_, boundaries_); } void Histogram::RegisterView() { diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 88411f37e5b2..677903a5fae9 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -265,25 +265,28 @@ void RegisterView(const std::string &name, const std::string &description, const std::vector &tag_keys, const std::vector &buckets) { - using I = StatsTypeMap; - auto view_descriptor = opencensus::stats::ViewDescriptor() - .set_name(name + I::val) - .set_description(description) - .set_measure(name) - .set_aggregation(I::Aggregation(buckets)); - - if (::RayConfig::instance().experimental_enable_open_telemetry_on_core()) { - if (T == GAUGE) { - OpenTelemetryMetricRecorder::GetInstance().RegisterGaugeMetric(name, description); - } else if (T == COUNT) { - OpenTelemetryMetricRecorder::GetInstance().RegisterCounterMetric(name, description); - } else if (T == SUM) { - OpenTelemetryMetricRecorder::GetInstance().RegisterSumMetric(name, description); - } else { - internal::RegisterAsView(view_descriptor, tag_keys); - } - } else { + if (!::RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + // OpenTelemetry is not enabled, register the view as an OpenCensus view. + using I = StatsTypeMap; + auto view_descriptor = opencensus::stats::ViewDescriptor() + .set_name(name + I::val) + .set_description(description) + .set_measure(name) + .set_aggregation(I::Aggregation(buckets)); internal::RegisterAsView(view_descriptor, tag_keys); + return; + } + if (T == GAUGE) { + OpenTelemetryMetricRecorder::GetInstance().RegisterGaugeMetric(name, description); + } else if (T == COUNT) { + OpenTelemetryMetricRecorder::GetInstance().RegisterCounterMetric(name, description); + } else if (T == SUM) { + OpenTelemetryMetricRecorder::GetInstance().RegisterSumMetric(name, description); + } else if (T == HISTOGRAM) { + OpenTelemetryMetricRecorder::GetInstance().RegisterHistogramMetric( + name, description, buckets); + } else { + RAY_CHECK(false) << "Unknown stats type: " << static_cast(T); } } diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index 91f40cb6dd83..a32ab8d01944 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -64,7 +64,6 @@ static inline void Init( int64_t max_grpc_payload_size = RayConfig::instance().agent_max_grpc_message_size()) { absl::MutexLock lock(&stats_mutex); if (StatsConfig::instance().IsInitialized()) { - RAY_CHECK(metrics_io_service_pool != nullptr); return; } @@ -77,30 +76,13 @@ static inline void Init( } RAY_LOG(DEBUG) << "Initialized stats"; - metrics_io_service_pool = std::make_shared(1); - metrics_io_service_pool->Run(); - instrumented_io_context *metrics_io_service = metrics_io_service_pool->Get(); - RAY_CHECK(metrics_io_service != nullptr); - // Set interval. StatsConfig::instance().SetReportInterval(absl::Milliseconds(std::max( RayConfig::instance().metrics_report_interval_ms(), static_cast(1000)))); StatsConfig::instance().SetHarvestInterval( absl::Milliseconds(std::max(RayConfig::instance().metrics_report_interval_ms() / 2, static_cast(500)))); - opencensus::stats::StatsExporter::SetInterval( - StatsConfig::instance().GetReportInterval()); - opencensus::stats::DeltaProducer::Get()->SetHarvestInterval( - StatsConfig::instance().GetHarvestInterval()); - - OpenCensusProtoExporter::Register(metrics_agent_port, - (*metrics_io_service), - "127.0.0.1", - worker_id, - metrics_report_batch_size, - max_grpc_payload_size); - - // Register the OpenTelemetry metric recorder. + // Register the metric recorder. if (RayConfig::instance().experimental_enable_open_telemetry_on_core()) { OpenTelemetryMetricRecorder::GetInstance().RegisterGrpcExporter( std::string("127.0.0.1:") + std::to_string(metrics_agent_port), @@ -108,6 +90,21 @@ static inline void Init( absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), std::chrono::milliseconds( absl::ToInt64Milliseconds(StatsConfig::instance().GetHarvestInterval()))); + } else { + metrics_io_service_pool = std::make_shared(1); + metrics_io_service_pool->Run(); + instrumented_io_context *metrics_io_service = metrics_io_service_pool->Get(); + RAY_CHECK(metrics_io_service != nullptr); + opencensus::stats::StatsExporter::SetInterval( + StatsConfig::instance().GetReportInterval()); + opencensus::stats::DeltaProducer::Get()->SetHarvestInterval( + StatsConfig::instance().GetHarvestInterval()); + OpenCensusProtoExporter::Register(metrics_agent_port, + (*metrics_io_service), + "127.0.0.1", + worker_id, + metrics_report_batch_size, + max_grpc_payload_size); } StatsConfig::instance().SetGlobalTags(global_tags); @@ -125,13 +122,14 @@ static inline void Shutdown() { // Return if stats had never been initialized. return; } - metrics_io_service_pool->Stop(); - opencensus::stats::DeltaProducer::Get()->Shutdown(); - opencensus::stats::StatsExporter::Shutdown(); if (RayConfig::instance().experimental_enable_open_telemetry_on_core()) { OpenTelemetryMetricRecorder::GetInstance().Shutdown(); + } else { + metrics_io_service_pool->Stop(); + opencensus::stats::DeltaProducer::Get()->Shutdown(); + opencensus::stats::StatsExporter::Shutdown(); + metrics_io_service_pool = nullptr; } - metrics_io_service_pool = nullptr; StatsConfig::instance().SetIsInitialized(false); RAY_LOG(INFO) << "Stats module has shutdown."; } diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index 023cfc8c3dbd..e66487c27f03 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -53,6 +53,19 @@ static ray::stats::Sum LegacyMetricSumTest("legacy_metric_sum_test", "", {"Tag1", "Tag2"}); +DECLARE_stats(metric_histogram_test); +DEFINE_stats(metric_histogram_test, + "A test histogram metric", + ("Tag1", "Tag2"), + ({1, 10, 100, 1000, 10000}), + ray::stats::HISTOGRAM); + +static ray::stats::Histogram LegacyMetricHistogramTest("legacy_metric_histogram_test", + "A legacy test histogram metric", + "", + {1, 10, 100, 1000, 10000}, + {"Tag1", "Tag2"}); + class MetricTest : public ::testing::Test { public: MetricTest() = default; @@ -133,5 +146,17 @@ TEST_F(MetricTest, TestSumMetric) { "legacy_metric_sum_test")); } +TEST_F(MetricTest, TestHistogramMetric) { + ASSERT_TRUE(OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered( + "metric_histogram_test")); + // We only test that recording is not crashing. The actual value is not checked + // because open telemetry does not provide a way to retrieve the value of a counter. + // Checking value is performed via e2e tests instead (e.g., in test_metrics_agent.py). + STATS_metric_histogram_test.Record(300.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); + LegacyMetricHistogramTest.Record(300.0, {{"Tag1"sv, "Value1"}, {"Tag2"sv, "Value2"}}); + ASSERT_TRUE(OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered( + "legacy_metric_histogram_test")); +} + } // namespace telemetry } // namespace ray diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.cc b/src/ray/telemetry/open_telemetry_metric_recorder.cc index f7cc20d40de2..8db1f8e44984 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.cc +++ b/src/ray/telemetry/open_telemetry_metric_recorder.cc @@ -13,11 +13,17 @@ // limitations under the License. #include "ray/telemetry/open_telemetry_metric_recorder.h" +#include #include #include #include +#include #include #include +#include +#include +#include +#include #include #include @@ -177,6 +183,46 @@ void OpenTelemetryMetricRecorder::RegisterSumMetric(const std::string &name, registered_instruments_[name] = std::move(instrument); } +void OpenTelemetryMetricRecorder::RegisterHistogramMetric( + const std::string &name, + const std::string &description, + const std::vector &buckets) { + std::lock_guard lock(mutex_); + if (registered_instruments_.contains(name)) { + // Already registered. Note that this is a common case for metrics defined + // via Metric interface. See https://github.com/ray-project/ray/issues/54538 + // for more details. + return; + } + // Create a histogram instrument with explicit buckets + // TODO(can-anyscale): use factory pattern for a cleaner creation of histogram view: + // https://github.com/open-telemetry/opentelemetry-cpp/blob/main/examples/metrics_simple/metrics_ostream.cc#L93. + // This requires a new version of the OpenTelemetry SDK. See + // https://github.com/ray-project/ray/issues/54538 for the complete backlog of Ray + // metric infra improvements. + auto aggregation_config = + std::make_shared(); + aggregation_config->boundaries_ = buckets; + auto view = std::make_unique( + name, + description, + /*unit=*/"", + opentelemetry::sdk::metrics::AggregationType::kHistogram, + aggregation_config); + + auto instrument_selector = + std::make_unique( + opentelemetry::sdk::metrics::InstrumentType::kHistogram, + name, + /*unit_filter=*/""); + auto meter_selector = std::make_unique( + meter_name_, /*meter_version=*/"", /*schema_url=*/""); + meter_provider_->AddView( + std::move(instrument_selector), std::move(meter_selector), std::move(view)); + auto instrument = GetMeter()->CreateDoubleHistogram(name, description, /*unit=*/""); + registered_instruments_[name] = std::move(instrument); +} + void OpenTelemetryMetricRecorder::SetMetricValue( const std::string &name, absl::flat_hash_map &&tags, @@ -220,6 +266,9 @@ void OpenTelemetryMetricRecorder::SetSynchronousMetricValue( } else if (auto *sum = dynamic_cast *>( sync_instr_ptr->get())) { sum->Add(value, std::move(tags)); + } else if (auto *histogram = dynamic_cast *>( + sync_instr_ptr->get())) { + histogram->Record(value, std::move(tags), opentelemetry::context::Context()); } else { // Unknown or unsupported instrument type RAY_CHECK(false) << "Unsupported synchronous instrument type for metric: " << name; diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.h b/src/ray/telemetry/open_telemetry_metric_recorder.h index d5654d29c7ef..5401da24a994 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.h +++ b/src/ray/telemetry/open_telemetry_metric_recorder.h @@ -77,6 +77,11 @@ class OpenTelemetryMetricRecorder { // Registers a sum metric with the given name and description void RegisterSumMetric(const std::string &name, const std::string &description); + // Registers a histogram metric with the given name, description, and buckets + void RegisterHistogramMetric(const std::string &name, + const std::string &description, + const std::vector &buckets); + // Check if a metric with the given name is registered. bool IsMetricRegistered(const std::string &name); @@ -128,6 +133,8 @@ class OpenTelemetryMetricRecorder { // Flag to indicate if the recorder is shutting down. This is used to make sure that // the recorder will only shutdown once. std::atomic is_shutdown_{false}; + // The name of the meter used for this recorder. + const std::string meter_name_ = "ray"; void SetObservableMetricValue(const std::string &name, absl::flat_hash_map &&tags, @@ -143,7 +150,7 @@ class OpenTelemetryMetricRecorder { const std::string &name, const absl::flat_hash_map &tags); opentelemetry::nostd::shared_ptr GetMeter() { - return meter_provider_->GetMeter("ray"); + return meter_provider_->GetMeter(meter_name_); } // Declare the test class as a friend to allow access to private members for testing. diff --git a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc index 5fc78229a161..0c38f24a1532 100644 --- a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc +++ b/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc @@ -77,5 +77,12 @@ TEST_F(OpenTelemetryMetricRecorderTest, TestSumMetric) { ASSERT_TRUE(recorder_.IsMetricRegistered("test_sum")); } +TEST_F(OpenTelemetryMetricRecorderTest, TestHistogramMetric) { + recorder_.RegisterHistogramMetric( + "test_histogram", "Test histogram description", {0.0, 10.0, 20.0, 30.0}); + // Check that the histogram metric is registered + ASSERT_TRUE(recorder_.IsMetricRegistered("test_histogram")); +} + } // namespace telemetry } // namespace ray From d24dc89e4e6a4fb641fc17468f5e249ebd12527f Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Wed, 23 Jul 2025 16:22:01 -0700 Subject: [PATCH 0331/1566] [Data] Use cloudpickle for Arrow tensor extension ser/des (#54831) - Use `cloudpickle` for Arrow tensor extension ser/des with fallback to `json` for backward compatibility. - Force `test_daft.py` to always pick `json` for ser/des. Issue is Daft lib is not using the right deserialization library where we have implemented the fallback from `cloudpickle` to `json`. Refer Daft issue https://github.com/Eventual-Inc/Daft/issues/4828 and Ray issue https://github.com/ray-project/ray/issues/54837. ``` [2025-07-21T20:53:42Z] python/ray/data/tests/test_daft.py::test_daft_round_trip FAILED [100%] [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] =================================== FAILURES =================================== [2025-07-21T20:53:42Z] _____________________________ test_daft_round_trip _____________________________ [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] ray_start = RayContext(dashboard_url='127.0.0.1:8265', python_version='3.9.23', ray_version='3.0.0.dev0', ray_commit='{{RAY_COMMIT_SHA}}') [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] @pytest.mark.skipif( [2025-07-21T20:53:42Z] parse_version(pa.__version__) >= parse_version("14.0.0"), [2025-07-21T20:53:42Z] reason="https://github.com/ray-project/ray/issues/53278", [2025-07-21T20:53:42Z] ) [2025-07-21T20:53:42Z] def test_daft_round_trip(ray_start): [2025-07-21T20:53:42Z] data = { [2025-07-21T20:53:42Z] "int_col": list(range(128)), [2025-07-21T20:53:42Z] "str_col": [str(i) for i in range(128)], [2025-07-21T20:53:42Z] "nested_list_col": [[i] * 3 for i in range(128)], [2025-07-21T20:53:42Z] "tensor_col": [np.array([[i] * 3] * 3) for i in range(128)], [2025-07-21T20:53:42Z] } [2025-07-21T20:53:42Z] df = daft.from_pydict(data) [2025-07-21T20:53:42Z] ds = ray.data.from_daft(df) [2025-07-21T20:53:42Z] pd.testing.assert_frame_equal(ds.to_pandas(), df.to_pandas()) [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] > df2 = ds.to_daft() [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] python/ray/data/tests/test_daft.py:48: [2025-07-21T20:53:42Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [2025-07-21T20:53:42Z] /rayci/python/ray/data/dataset.py:5271: in to_daft [2025-07-21T20:53:42Z] return daft.from_ray_dataset(self) [2025-07-21T20:53:42Z] /opt/miniforge/lib/python3.9/site-packages/daft/convert.py:165: in from_ray_dataset [2025-07-21T20:53:42Z] return DataFrame._from_ray_dataset(ds) [2025-07-21T20:53:42Z] /opt/miniforge/lib/python3.9/site-packages/daft/dataframe/dataframe.py:3093: in _from_ray_dataset [2025-07-21T20:53:42Z] partition_set, schema = ray_runner_io.partition_set_from_ray_dataset(ds) [2025-07-21T20:53:42Z] /opt/miniforge/lib/python3.9/site-packages/daft/runners/ray_runner.py:392: in partition_set_from_ray_dataset [2025-07-21T20:53:42Z] [ [2025-07-21T20:53:42Z] /opt/miniforge/lib/python3.9/site-packages/daft/runners/ray_runner.py:393: in [2025-07-21T20:53:42Z] (arrow_field.name, _from_arrow_type_with_ray_data_extensions(arrow_field.type)) [2025-07-21T20:53:42Z] /opt/miniforge/lib/python3.9/site-packages/daft/runners/ray_runner.py:352: in _from_arrow_type_with_ray_data_extensions [2025-07-21T20:53:42Z] return DataType.from_arrow_type(arrow_type) [2025-07-21T20:53:42Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] cls = [2025-07-21T20:53:42Z] arrow_type = numpy.ndarray(shape=(3, 3), dtype=int64) [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] @classmethod [2025-07-21T20:53:42Z] def from_arrow_type(cls, arrow_type: pa.lib.DataType) -> DataType: [2025-07-21T20:53:42Z] """Maps a PyArrow DataType to a Daft DataType.""" [2025-07-21T20:53:42Z] if pa.types.is_int8(arrow_type): [2025-07-21T20:53:42Z] return cls.int8() [2025-07-21T20:53:42Z] elif pa.types.is_int16(arrow_type): [2025-07-21T20:53:42Z] return cls.int16() [2025-07-21T20:53:42Z] elif pa.types.is_int32(arrow_type): [2025-07-21T20:53:42Z] return cls.int32() [2025-07-21T20:53:42Z] elif pa.types.is_int64(arrow_type): [2025-07-21T20:53:42Z] return cls.int64() [2025-07-21T20:53:42Z] elif pa.types.is_uint8(arrow_type): [2025-07-21T20:53:42Z] return cls.uint8() [2025-07-21T20:53:42Z] elif pa.types.is_uint16(arrow_type): [2025-07-21T20:53:42Z] return cls.uint16() [2025-07-21T20:53:42Z] elif pa.types.is_uint32(arrow_type): [2025-07-21T20:53:42Z] return cls.uint32() [2025-07-21T20:53:42Z] elif pa.types.is_uint64(arrow_type): [2025-07-21T20:53:42Z] return cls.uint64() [2025-07-21T20:53:42Z] elif pa.types.is_float32(arrow_type): [2025-07-21T20:53:42Z] return cls.float32() [2025-07-21T20:53:42Z] elif pa.types.is_float64(arrow_type): [2025-07-21T20:53:42Z] return cls.float64() [2025-07-21T20:53:42Z] elif pa.types.is_string(arrow_type) or pa.types.is_large_string(arrow_type): [2025-07-21T20:53:42Z] return cls.string() [2025-07-21T20:53:42Z] elif pa.types.is_binary(arrow_type) or pa.types.is_large_binary(arrow_type): [2025-07-21T20:53:42Z] return cls.binary() [2025-07-21T20:53:42Z] elif pa.types.is_fixed_size_binary(arrow_type): [2025-07-21T20:53:42Z] return cls.fixed_size_binary(arrow_type.byte_width) [2025-07-21T20:53:42Z] elif pa.types.is_boolean(arrow_type): [2025-07-21T20:53:42Z] return cls.bool() [2025-07-21T20:53:42Z] elif pa.types.is_null(arrow_type): [2025-07-21T20:53:42Z] return cls.null() [2025-07-21T20:53:42Z] elif pa.types.is_decimal128(arrow_type): [2025-07-21T20:53:42Z] return cls.decimal128(arrow_type.precision, arrow_type.scale) [2025-07-21T20:53:42Z] elif pa.types.is_date32(arrow_type): [2025-07-21T20:53:42Z] return cls.date() [2025-07-21T20:53:42Z] elif pa.types.is_date64(arrow_type): [2025-07-21T20:53:42Z] return cls.timestamp(TimeUnit.ms()) [2025-07-21T20:53:42Z] elif pa.types.is_time64(arrow_type): [2025-07-21T20:53:42Z] timeunit = TimeUnit.from_str(pa.type_for_alias(str(arrow_type)).unit) [2025-07-21T20:53:42Z] return cls.time(timeunit) [2025-07-21T20:53:42Z] elif pa.types.is_timestamp(arrow_type): [2025-07-21T20:53:42Z] timeunit = TimeUnit.from_str(arrow_type.unit) [2025-07-21T20:53:42Z] return cls.timestamp(timeunit=timeunit, timezone=arrow_type.tz) [2025-07-21T20:53:42Z] elif pa.types.is_duration(arrow_type): [2025-07-21T20:53:42Z] timeunit = TimeUnit.from_str(arrow_type.unit) [2025-07-21T20:53:42Z] return cls.duration(timeunit=timeunit) [2025-07-21T20:53:42Z] elif pa.types.is_list(arrow_type) or pa.types.is_large_list(arrow_type): [2025-07-21T20:53:42Z] assert isinstance(arrow_type, (pa.ListType, pa.LargeListType)) [2025-07-21T20:53:42Z] field = arrow_type.value_field [2025-07-21T20:53:42Z] return cls.list(cls.from_arrow_type(field.type)) [2025-07-21T20:53:42Z] elif pa.types.is_fixed_size_list(arrow_type): [2025-07-21T20:53:42Z] assert isinstance(arrow_type, pa.FixedSizeListType) [2025-07-21T20:53:42Z] field = arrow_type.value_field [2025-07-21T20:53:42Z] return cls.fixed_size_list(cls.from_arrow_type(field.type), arrow_type.list_size) [2025-07-21T20:53:42Z] elif pa.types.is_struct(arrow_type): [2025-07-21T20:53:42Z] assert isinstance(arrow_type, pa.StructType) [2025-07-21T20:53:42Z] fields = [arrow_type[i] for i in range(arrow_type.num_fields)] [2025-07-21T20:53:42Z] return cls.struct({field.name: cls.from_arrow_type(field.type) for field in fields}) [2025-07-21T20:53:42Z] elif pa.types.is_interval(arrow_type): [2025-07-21T20:53:42Z] return cls.interval() [2025-07-21T20:53:42Z] elif pa.types.is_map(arrow_type): [2025-07-21T20:53:42Z] assert isinstance(arrow_type, pa.MapType) [2025-07-21T20:53:42Z] return cls.map( [2025-07-21T20:53:42Z] key_type=cls.from_arrow_type(arrow_type.key_type), [2025-07-21T20:53:42Z] value_type=cls.from_arrow_type(arrow_type.item_type), [2025-07-21T20:53:42Z] ) [2025-07-21T20:53:42Z] elif isinstance(arrow_type, getattr(pa, "FixedShapeTensorType", ())): [2025-07-21T20:53:42Z] scalar_dtype = cls.from_arrow_type(arrow_type.value_type) [2025-07-21T20:53:42Z] return cls.tensor(scalar_dtype, tuple(arrow_type.shape)) [2025-07-21T20:53:42Z] elif isinstance(arrow_type, pa.PyExtensionType): [2025-07-21T20:53:42Z] # TODO(Clark): Add a native cross-lang extension type representation for PyExtensionTypes. [2025-07-21T20:53:42Z] raise ValueError( [2025-07-21T20:53:42Z] "pyarrow extension types that subclass pa.PyExtensionType can't be used in Daft, since they can't be " [2025-07-21T20:53:42Z] f"used in non-Python Arrow implementations and Daft uses the Rust Arrow2 implementation: {arrow_type}" [2025-07-21T20:53:42Z] ) [2025-07-21T20:53:42Z] elif isinstance(arrow_type, pa.BaseExtensionType): [2025-07-21T20:53:42Z] name = arrow_type.extension_name [2025-07-21T20:53:42Z] [2025-07-21T20:53:42Z] if (get_context().get_or_create_runner().name == "ray") and ( [2025-07-21T20:53:42Z] type(arrow_type).__reduce__ == pa.BaseExtensionType.__reduce__ [2025-07-21T20:53:42Z] ): [2025-07-21T20:53:42Z] raise ValueError( [2025-07-21T20:53:42Z] f"You are attempting to use a Extension Type: {arrow_type} with the default pyarrow `__reduce__` which breaks pickling for Extensions" [2025-07-21T20:53:42Z] "To fix this, implement your own `__reduce__` on your extension type" [2025-07-21T20:53:42Z] "For more details see this issue: " [2025-07-21T20:53:42Z] "https://github.com/apache/arrow/issues/35599" [2025-07-21T20:53:42Z] ) [2025-07-21T20:53:42Z] try: [2025-07-21T20:53:42Z] > metadata = arrow_type.__arrow_ext_serialize__().decode() [2025-07-21T20:53:42Z] E UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte [2025-07-21T20:53:42Z] ``` --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- .../ray/air/util/tensor_extensions/arrow.py | 57 +++++++++++++++++-- python/ray/data/read_api.py | 10 ---- python/ray/data/tests/test_daft.py | 52 +++++++++-------- 3 files changed, 80 insertions(+), 39 deletions(-) diff --git a/python/ray/air/util/tensor_extensions/arrow.py b/python/ray/air/util/tensor_extensions/arrow.py index 46775407c969..be0a88c83bb8 100644 --- a/python/ray/air/util/tensor_extensions/arrow.py +++ b/python/ray/air/util/tensor_extensions/arrow.py @@ -10,6 +10,8 @@ import numpy as np import pyarrow as pa from packaging.version import parse as parse_version +import ray.cloudpickle as cloudpickle +from enum import Enum from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.tensor_extensions.utils import ( @@ -25,6 +27,8 @@ from ray.util import log_once from ray.util.annotations import DeveloperAPI, PublicAPI from ray.util.common import INT32_MAX +from ray._private.ray_constants import env_integer + PYARROW_VERSION = get_pyarrow_version() # Minimum version of Arrow that supports subclassable ExtensionScalars. @@ -36,9 +40,38 @@ NUM_BYTES_PER_UNICODE_CHAR = 4 +class _SerializationFormat(Enum): + # JSON format is legacy and inefficient, only kept for backward compatibility + JSON = 0 + CLOUDPICKLE = 1 + + +# Set the default serialization format for Arrow extension types. +ARROW_EXTENSION_SERIALIZATION_FORMAT = _SerializationFormat( + _SerializationFormat.JSON # legacy + if env_integer("RAY_DATA_ARROW_EXTENSION_SERIALIZATION_LEGACY_JSON_FORMAT", 0) == 1 + else _SerializationFormat.CLOUDPICKLE # default +) + + logger = logging.getLogger(__name__) +def _deserialize_with_fallback(serialized: bytes, field_name: str = "data"): + """Deserialize data with cloudpickle first, fallback to JSON.""" + try: + # Try cloudpickle first (new format) + return cloudpickle.loads(serialized) + except Exception: + # Fallback to JSON format (legacy) + try: + return json.loads(serialized) + except json.JSONDecodeError: + raise ValueError( + f"Unable to deserialize {field_name} from {type(serialized)}" + ) + + @DeveloperAPI class ArrowConversionError(Exception): """Error raised when there is an issue converting data to Arrow.""" @@ -451,7 +484,14 @@ def __reduce__(self): ) def __arrow_ext_serialize__(self): - return json.dumps(self._shape).encode() + if ARROW_EXTENSION_SERIALIZATION_FORMAT == _SerializationFormat.CLOUDPICKLE: + return cloudpickle.dumps(self._shape) + elif ARROW_EXTENSION_SERIALIZATION_FORMAT == _SerializationFormat.JSON: + return json.dumps(self._shape).encode() + else: + raise ValueError( + f"Invalid serialization format: {ARROW_EXTENSION_SERIALIZATION_FORMAT}" + ) def __arrow_ext_class__(self): """ @@ -558,7 +598,7 @@ def __init__(self, shape: Tuple[int, ...], dtype: pa.DataType): @classmethod def __arrow_ext_deserialize__(cls, storage_type, serialized): - shape = tuple(json.loads(serialized)) + shape = tuple(_deserialize_with_fallback(serialized, "shape")) return cls(shape, storage_type.value_type) def __eq__(self, other): @@ -588,7 +628,7 @@ def __init__(self, shape: Tuple[int, ...], dtype: pa.DataType): @classmethod def __arrow_ext_deserialize__(cls, storage_type, serialized): - shape = tuple(json.loads(serialized)) + shape = tuple(_deserialize_with_fallback(serialized, "shape")) return cls(shape, storage_type.value_type) def __eq__(self, other): @@ -1032,11 +1072,18 @@ def __reduce__(self): ) def __arrow_ext_serialize__(self): - return json.dumps(self._ndim).encode() + if ARROW_EXTENSION_SERIALIZATION_FORMAT == _SerializationFormat.CLOUDPICKLE: + return cloudpickle.dumps(self._ndim) + elif ARROW_EXTENSION_SERIALIZATION_FORMAT == _SerializationFormat.JSON: + return json.dumps(self._ndim).encode() + else: + raise ValueError( + f"Invalid serialization format: {ARROW_EXTENSION_SERIALIZATION_FORMAT}" + ) @classmethod def __arrow_ext_deserialize__(cls, storage_type, serialized): - ndim = json.loads(serialized) + ndim = _deserialize_with_fallback(serialized, "ndim") dtype = storage_type["data"].type.value_type return cls(dtype, ndim) diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index c09b00f732c1..8b018a540e28 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -16,10 +16,8 @@ ) import numpy as np -from packaging.version import parse as parse_version import ray -from ray._private.arrow_utils import get_pyarrow_version from ray._private.auto_init_hook import wrap_auto_init from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray from ray.data._internal.datasource.audio_datasource import AudioDatasource @@ -2654,14 +2652,6 @@ def from_daft(df: "daft.DataFrame") -> Dataset: Returns: A :class:`~ray.data.Dataset` holding rows read from the DataFrame. """ - pyarrow_version = get_pyarrow_version() - assert pyarrow_version is not None - if pyarrow_version >= parse_version("14.0.0"): - raise RuntimeError( - "`from_daft` only works with PyArrow 13 or lower. For more details, see " - "https://github.com/ray-project/ray/issues/53278." - ) - # NOTE: Today this returns a MaterializedDataset. We should also integrate Daft such # that we can stream object references into a Ray dataset. Unfortunately this is # very tricky today because of the way Ray Datasources are implemented with a fully- diff --git a/python/ray/data/tests/test_daft.py b/python/ray/data/tests/test_daft.py index e2ead0b89066..1a96bb463401 100644 --- a/python/ray/data/tests/test_daft.py +++ b/python/ray/data/tests/test_daft.py @@ -1,40 +1,44 @@ -import sys -from unittest.mock import patch +import os -import daft -import numpy as np -import pandas as pd -import pyarrow as pa import pytest -from packaging.version import parse as parse_version - -import ray @pytest.fixture(scope="module") def ray_start(request): + """Initialize Ray with proper serialization format.""" + # TODO: Remove this once Daft issue is fixed to default to Cloudpickle + # serialization format. + # Force the serialization format to JSON for this test. + # Refer Daft issue https://github.com/Eventual-Inc/Daft/issues/4828 + # and Ray issue https://github.com/ray-project/ray/issues/54837 + # for more details. + + # Set environment variable before importing ray + os.environ["RAY_DATA_ARROW_EXTENSION_SERIALIZATION_LEGACY_JSON_FORMAT"] = "1" + + import ray + import ray.air.util.tensor_extensions.arrow as arrow_module + from ray.air.util.tensor_extensions.arrow import _SerializationFormat + + # Force the serialization format to JSON after import + arrow_module.ARROW_EXTENSION_SERIALIZATION_FORMAT = _SerializationFormat.JSON + try: - yield ray.init(num_cpus=16) + # Set environment variable for Ray workers + yield ray.init( + num_cpus=16, + ) finally: ray.shutdown() -def test_from_daft_raises_error_on_pyarrow_14(ray_start): - # This test assumes that `from_daft` calls `get_pyarrow_version` to get the - # PyArrow version. We can't mock `__version__` on the module directly because - # `get_pyarrow_version` caches the version. - with patch( - "ray.data.read_api.get_pyarrow_version", return_value=parse_version("14.0.0") - ): - with pytest.raises(RuntimeError): - ray.data.from_daft(daft.from_pydict({"col": [0]})) +def test_daft_round_trip(ray_start): + import daft + import numpy as np + import pandas as pd + import ray -@pytest.mark.skipif( - parse_version(pa.__version__) >= parse_version("14.0.0"), - reason="https://github.com/ray-project/ray/issues/53278", -) -def test_daft_round_trip(ray_start): data = { "int_col": list(range(128)), "str_col": [str(i) for i in range(128)], From 3a753598346cb49a650d9b9a35cfa948d068d571 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 23 Jul 2025 16:56:16 -0700 Subject: [PATCH 0332/1566] [Data] Remove warning with default `write_parquet` calls (#54864) ## Why are these changes needed? If you call `write_parquet` with defaults, you'll see a warning like this for each write task. ``` (Write pid=3693, ip=10.0.62.18) FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API [repeated 45x across cluster] ```` This ends up being both spammy and potentially confusing, especially since it happens even with default values. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/datasource/parquet_datasink.py | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasink.py b/python/ray/data/_internal/datasource/parquet_datasink.py index 300a7c410023..333def302063 100644 --- a/python/ray/data/_internal/datasource/parquet_datasink.py +++ b/python/ray/data/_internal/datasource/parquet_datasink.py @@ -229,13 +229,8 @@ def _get_basename_template(self, filename: str, write_uuid: str) -> str: # No extension and not templatized, add extension and template basename_template = f"{filename}-{{i}}.{FILE_FORMAT}" else: - # Has extension but not templatized, add template while preserving extension - logger.warning( - "FilenameProvider have to provide proper filename template including '{{i}}' " - "macro to ensure unique filenames when writing multiple files. Appending '{{i}}' " - "macro to the end of the file. For more details on the expected filename template checkout " - "PyArrow's `write_to_dataset` API" - ) + # TODO(@goutamvenkat-anyscale): Add a warning if you pass in a custom + # filename provider and it isn't templatized. # Use pathlib.Path to properly handle filenames with dots filename_path = Path(filename) stem = filename_path.stem # filename without extension From 6f4676e16bafb50d95d396dc6277ae56e7bc7d83 Mon Sep 17 00:00:00 2001 From: Hao Chen Date: Wed, 23 Jul 2025 17:35:51 -0700 Subject: [PATCH 0333/1566] [data] Make DEFAULT_OBJECT_STORE_MEMORY_LIMIT_FRACTION configurable (#54873) Signed-off-by: Hao Chen Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/execution/resource_manager.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index ae5c6ffc1d03..e36e2bdbf0d1 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -6,6 +6,7 @@ from collections import defaultdict from typing import TYPE_CHECKING, Callable, Dict, Iterable, List, Optional +from ray._private.ray_constants import env_float from ray.data._internal.execution.interfaces.execution_options import ( ExecutionOptions, ExecutionResources, @@ -44,7 +45,9 @@ class ResourceManager: # The fraction of the object store capacity that will be used as the default object # store memory limit for the streaming executor, # when `ReservationOpResourceAllocator` is enabled. - DEFAULT_OBJECT_STORE_MEMORY_LIMIT_FRACTION = 0.5 + DEFAULT_OBJECT_STORE_MEMORY_LIMIT_FRACTION = env_float( + "RAY_DATA_OBJECT_STORE_MEMORY_LIMIT_FRACTION", 0.5 + ) # The fraction of the object store capacity that will be used as the default object # store memory limit for the streaming executor, From 895766f366a9f4ed248e7400f70b4130dc51fec9 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 23 Jul 2025 19:50:37 -0700 Subject: [PATCH 0334/1566] [ci] do not clear user's `.bazelrc` file (#54867) unless it is on CI systems. tempering with config files under user home directory is way too intrusive.. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/env/install-bazel.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ci/env/install-bazel.sh b/ci/env/install-bazel.sh index 8f0340eb752a..27119123987e 100755 --- a/ci/env/install-bazel.sh +++ b/ci/env/install-bazel.sh @@ -95,10 +95,10 @@ fi bazel --version -# clear bazelrc -echo > ~/.bazelrc +if [[ "${CI-}" == "true" && "${BUILDKITE-}" != "" ]]; then + # clear bazelrc + echo > ~/.bazelrc -if [[ "${CI-}" == "true" ]]; then # Ask bazel to anounounce the config it finds in bazelrcs, which makes # understanding how to reproduce bazel easier. echo "build --announce_rc" >> ~/.bazelrc From 084dbbb69ae81a5c32dc826b9fb524e7b7f4f04e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=84=8D=F0=9D=95=A0=F0=9D=95=9D=F0=9D=95=9D=F0=9D=95=A0?= =?UTF-8?q?=F0=9D=95=A8=20=F0=9D=95=84=F0=9D=95=92=F0=9D=95=9F?= Date: Thu, 24 Jul 2025 17:11:49 +0300 Subject: [PATCH 0335/1566] [Dashboard] Refactor and support reporting AMD GPU usage & NVIDIA MIG mode memory usage (#51345) To add support for reporting AMD GPU usage and NVIDIA MIG mode memory usage in the dashboard: ![QQ20250313-221220](https://github.com/user-attachments/assets/67e6dbfd-5876-4d72-9524-6d770938ae8f) --------- Signed-off-by: Hollow Man Signed-off-by: Douglas Strodtman --- .../_private/thirdparty/pyamdsmi/pyamdsmi.py | 17 + .../client/src/components/ActorTable.tsx | 5 +- .../dashboard/client/src/pages/node/index.tsx | 5 +- .../modules/reporter/gpu_providers.py | 529 +++++++++++++++ .../modules/reporter/reporter_agent.py | 132 +--- .../reporter/tests/test_gpu_providers.py | 614 ++++++++++++++++++ 6 files changed, 1179 insertions(+), 123 deletions(-) create mode 100644 python/ray/dashboard/modules/reporter/gpu_providers.py create mode 100644 python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py diff --git a/python/ray/_private/thirdparty/pyamdsmi/pyamdsmi.py b/python/ray/_private/thirdparty/pyamdsmi/pyamdsmi.py index ba11b42032ba..e28b8fe81eb0 100644 --- a/python/ray/_private/thirdparty/pyamdsmi/pyamdsmi.py +++ b/python/ray/_private/thirdparty/pyamdsmi/pyamdsmi.py @@ -521,6 +521,23 @@ def smi_get_device_compute_process(): else: return [] +def smi_get_compute_process_info_by_device(device_id: int, proc_ids: list) -> list: + """Returns list of process info running compute on the specified device by process IDs. + + Args: + device_id: The device index to query + proc_ids: List of process IDs to get info for + + Returns: + List of process info structures for the specified device and process IDs + """ + proc_infos = [] + for proc_id in proc_ids: + proc_info = rsmi_process_info_t() + ret = rocm_lib.rsmi_compute_process_info_by_device_get(proc_id, device_id, byref(proc_info)) + if rsmi_ret_ok(ret): + proc_infos.append(proc_info) + return proc_infos def smi_get_device_average_power(dev): """returns average power of device_id dev""" diff --git a/python/ray/dashboard/client/src/components/ActorTable.tsx b/python/ray/dashboard/client/src/components/ActorTable.tsx index 2e2097115af4..5c8ebebfa8ed 100644 --- a/python/ray/dashboard/client/src/components/ActorTable.tsx +++ b/python/ray/dashboard/client/src/components/ActorTable.tsx @@ -278,10 +278,9 @@ const ActorTable = ({
    1. non-GPU Ray image is used on this node. Switch to a GPU Ray image and try again.
    - 2. Non NVIDIA GPUs are being used. Non NVIDIA GPUs' utilizations are - not currently supported. + 2. Non Nvidia or AMD GPUs are being used.
    - 3. pynvml module raises an exception. + 3. pynvml or pyamdsmi module raises an exception. ), }, diff --git a/python/ray/dashboard/client/src/pages/node/index.tsx b/python/ray/dashboard/client/src/pages/node/index.tsx index 4ea0f46471ca..b1488e8f941b 100644 --- a/python/ray/dashboard/client/src/pages/node/index.tsx +++ b/python/ray/dashboard/client/src/pages/node/index.tsx @@ -80,10 +80,9 @@ const columns = [
    1. non-GPU Ray image is used on this node. Switch to a GPU Ray image and try again.
    - 2. Non NVIDIA GPUs are being used. Non NVIDIA GPUs' utilizations are not - currently supported. + 2. Non Nvidia or AMD GPUs are being used.
    - 3. pynvml module raises an exception. + 3. pynvml or pyamdsmi module raises an exception. ), }, diff --git a/python/ray/dashboard/modules/reporter/gpu_providers.py b/python/ray/dashboard/modules/reporter/gpu_providers.py new file mode 100644 index 000000000000..69f9f39ba7b2 --- /dev/null +++ b/python/ray/dashboard/modules/reporter/gpu_providers.py @@ -0,0 +1,529 @@ +"""GPU providers for monitoring GPU usage in Ray dashboard. + +This module provides an object-oriented interface for different GPU providers +(NVIDIA, AMD) to collect GPU utilization information. +""" + +import abc +import enum +import logging +import subprocess +from typing import List, Optional, Union, TypedDict + +logger = logging.getLogger(__name__) + +# Constants +MB = 1024 * 1024 + +# Types +Percentage = int +Megabytes = int +Bytes = int + + +class GpuProviderType(enum.Enum): + """Enum for GPU provider types.""" + + NVIDIA = "nvidia" + AMD = "amd" + + +class ProcessGPUInfo(TypedDict): + """Information about GPU usage for a single process.""" + + pid: int + gpu_memory_usage: Megabytes + + +class GpuUtilizationInfo(TypedDict): + """GPU utilization information for a single GPU device.""" + + index: int + name: str + uuid: str + utilization_gpu: Optional[Percentage] + memory_used: Megabytes + memory_total: Megabytes + processes_pids: Optional[List[ProcessGPUInfo]] + + +# tpu utilization for google tpu +class TpuUtilizationInfo(TypedDict): + index: int + name: str + tpu_type: str + tpu_topology: str + tensorcore_utilization: Percentage + hbm_utilization: Percentage + duty_cycle: Percentage + memory_used: Bytes + memory_total: Bytes + + +class GpuProvider(abc.ABC): + """Abstract base class for GPU providers.""" + + def __init__(self): + self._initialized = False + + @abc.abstractmethod + def get_provider_name(self) -> GpuProviderType: + """Return the type of the GPU provider.""" + pass + + @abc.abstractmethod + def is_available(self) -> bool: + """Check if the GPU provider is available on this system.""" + pass + + @abc.abstractmethod + def _initialize(self) -> bool: + """Initialize the GPU provider. Returns True if successful.""" + pass + + @abc.abstractmethod + def _shutdown(self): + """Shutdown the GPU provider and clean up resources.""" + pass + + @abc.abstractmethod + def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: + """Get GPU utilization information for all available GPUs.""" + pass + + @staticmethod + def _decode(b: Union[str, bytes]) -> str: + """Decode bytes to string for Python 3 compatibility.""" + if isinstance(b, bytes): + return b.decode("utf-8") + return b + + +class NvidiaGpuProvider(GpuProvider): + """NVIDIA GPU provider using pynvml.""" + + def __init__(self): + super().__init__() + self._pynvml = None + + def get_provider_name(self) -> GpuProviderType: + return GpuProviderType.NVIDIA + + def is_available(self) -> bool: + """Check if NVIDIA GPUs are available.""" + try: + import ray._private.thirdparty.pynvml as pynvml + + pynvml.nvmlInit() + pynvml.nvmlShutdown() + return True + except Exception as e: + logger.debug(f"NVIDIA GPU not available: {e}") + return False + + def _initialize(self) -> bool: + """Initialize the NVIDIA GPU provider.""" + if self._initialized: + return True + + try: + import ray._private.thirdparty.pynvml as pynvml + + self._pynvml = pynvml + self._pynvml.nvmlInit() + self._initialized = True + return True + except Exception as e: + logger.debug(f"Failed to initialize NVIDIA GPU provider: {e}") + return False + + def _shutdown(self): + """Shutdown the NVIDIA GPU provider.""" + if self._initialized and self._pynvml: + try: + self._pynvml.nvmlShutdown() + except Exception as e: + logger.debug(f"Error shutting down NVIDIA GPU provider: {e}") + finally: + self._initialized = False + + def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: + """Get GPU utilization information for all NVIDIA GPUs and MIG devices.""" + if not self._initialized: + if not self._initialize(): + return [] + + gpu_utilizations = [] + + try: + num_gpus = self._pynvml.nvmlDeviceGetCount() + + for i in range(num_gpus): + gpu_handle = self._pynvml.nvmlDeviceGetHandleByIndex(i) + + # Check if MIG mode is enabled on this GPU + try: + mig_mode = self._pynvml.nvmlDeviceGetMigMode(gpu_handle) + if mig_mode[0]: # MIG mode is enabled + # Get MIG device instances + mig_devices = self._get_mig_devices(gpu_handle, i) + gpu_utilizations.extend(mig_devices) + continue + except (self._pynvml.NVMLError, AttributeError): + # MIG not supported or not enabled, continue with regular GPU + pass + + # Process regular GPU (non-MIG) + gpu_info = self._get_gpu_info(gpu_handle, i) + if gpu_info: + gpu_utilizations.append(gpu_info) + + except Exception as e: + logger.warning(f"Error getting NVIDIA GPU utilization: {e}") + finally: + self._shutdown() + + return gpu_utilizations + + def _get_mig_devices(self, gpu_handle, gpu_index: int) -> List[GpuUtilizationInfo]: + """Get MIG device information for a GPU with MIG enabled.""" + mig_devices = [] + + try: + # Get all MIG device instances + mig_count = self._pynvml.nvmlDeviceGetMaxMigDeviceCount(gpu_handle) + + for mig_idx in range(mig_count): + try: + # Get MIG device handle + mig_handle = self._pynvml.nvmlDeviceGetMigDeviceHandleByIndex( + gpu_handle, mig_idx + ) + + # Get MIG device info + mig_info = self._get_mig_device_info(mig_handle, gpu_index, mig_idx) + if mig_info: + mig_devices.append(mig_info) + + except self._pynvml.NVMLError: + # MIG device not available at this index + continue + + except (self._pynvml.NVMLError, AttributeError) as e: + logger.debug(f"Error getting MIG devices: {e}") + + return mig_devices + + def _get_mig_device_info( + self, mig_handle, gpu_index: int, mig_index: int + ) -> Optional[GpuUtilizationInfo]: + """Get utilization info for a single MIG device.""" + try: + memory_info = self._pynvml.nvmlDeviceGetMemoryInfo(mig_handle) + + # Get MIG device utilization + utilization = -1 + try: + utilization_info = self._pynvml.nvmlDeviceGetUtilizationRates( + mig_handle + ) + utilization = int(utilization_info.gpu) + except self._pynvml.NVMLError as e: + logger.debug(f"Failed to retrieve MIG device utilization: {e}") + + # Get running processes on MIG device + processes_pids = [] + try: + nv_comp_processes = self._pynvml.nvmlDeviceGetComputeRunningProcesses( + mig_handle + ) + nv_graphics_processes = ( + self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(mig_handle) + ) + + processes_pids = [ + ProcessGPUInfo( + pid=int(nv_process.pid), + gpu_memory_usage=( + int(nv_process.usedGpuMemory) // MB + if nv_process.usedGpuMemory + else 0 + ), + ) + for nv_process in (nv_comp_processes + nv_graphics_processes) + ] + except self._pynvml.NVMLError as e: + logger.debug(f"Failed to retrieve MIG device processes: {e}") + + # Get MIG device UUID and name + try: + mig_uuid = self._decode(self._pynvml.nvmlDeviceGetUUID(mig_handle)) + mig_name = self._decode(self._pynvml.nvmlDeviceGetName(mig_handle)) + except self._pynvml.NVMLError: + # Fallback for older drivers + try: + parent_name = self._decode( + self._pynvml.nvmlDeviceGetName( + self._pynvml.nvmlDeviceGetHandleByIndex(gpu_index) + ) + ) + mig_name = f"{parent_name} MIG {mig_index}" + mig_uuid = f"MIG-GPU-{gpu_index}-{mig_index}" + except Exception: + mig_name = f"NVIDIA MIG Device {gpu_index}.{mig_index}" + mig_uuid = f"MIG-{gpu_index}-{mig_index}" + + return GpuUtilizationInfo( + index=gpu_index * 1000 + mig_index, # Unique index for MIG devices + name=mig_name, + uuid=mig_uuid, + utilization_gpu=utilization, + memory_used=int(memory_info.used) // MB, + memory_total=int(memory_info.total) // MB, + processes_pids=processes_pids, + ) + + except Exception as e: + logger.debug(f"Error getting MIG device info: {e}") + return None + + def _get_gpu_info(self, gpu_handle, gpu_index: int) -> Optional[GpuUtilizationInfo]: + """Get utilization info for a regular (non-MIG) GPU.""" + try: + memory_info = self._pynvml.nvmlDeviceGetMemoryInfo(gpu_handle) + + # Get GPU utilization + utilization = -1 + try: + utilization_info = self._pynvml.nvmlDeviceGetUtilizationRates( + gpu_handle + ) + utilization = int(utilization_info.gpu) + except self._pynvml.NVMLError as e: + logger.debug(f"Failed to retrieve GPU utilization: {e}") + + # Get running processes + processes_pids = [] + try: + nv_comp_processes = self._pynvml.nvmlDeviceGetComputeRunningProcesses( + gpu_handle + ) + nv_graphics_processes = ( + self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(gpu_handle) + ) + + processes_pids = [ + ProcessGPUInfo( + pid=int(nv_process.pid), + gpu_memory_usage=( + int(nv_process.usedGpuMemory) // MB + if nv_process.usedGpuMemory + else 0 + ), + ) + for nv_process in (nv_comp_processes + nv_graphics_processes) + ] + except self._pynvml.NVMLError as e: + logger.debug(f"Failed to retrieve GPU processes: {e}") + + return GpuUtilizationInfo( + index=gpu_index, + name=self._decode(self._pynvml.nvmlDeviceGetName(gpu_handle)), + uuid=self._decode(self._pynvml.nvmlDeviceGetUUID(gpu_handle)), + utilization_gpu=utilization, + memory_used=int(memory_info.used) // MB, + memory_total=int(memory_info.total) // MB, + processes_pids=processes_pids, + ) + + except Exception as e: + logger.debug(f"Error getting GPU info: {e}") + return None + + +class AmdGpuProvider(GpuProvider): + """AMD GPU provider using pyamdsmi.""" + + def __init__(self): + super().__init__() + self._pyamdsmi = None + + def get_provider_name(self) -> GpuProviderType: + return GpuProviderType.AMD + + def is_available(self) -> bool: + """Check if AMD GPUs are available.""" + try: + import ray._private.thirdparty.pyamdsmi as pyamdsmi + + pyamdsmi.smi_initialize() + pyamdsmi.smi_shutdown() + return True + except Exception as e: + logger.debug(f"AMD GPU not available: {e}") + return False + + def _initialize(self) -> bool: + """Initialize the AMD GPU provider.""" + if self._initialized: + return True + + try: + import ray._private.thirdparty.pyamdsmi as pyamdsmi + + self._pyamdsmi = pyamdsmi + self._pyamdsmi.smi_initialize() + self._initialized = True + return True + except Exception as e: + logger.debug(f"Failed to initialize AMD GPU provider: {e}") + return False + + def _shutdown(self): + """Shutdown the AMD GPU provider.""" + if self._initialized and self._pyamdsmi: + try: + self._pyamdsmi.smi_shutdown() + except Exception as e: + logger.debug(f"Error shutting down AMD GPU provider: {e}") + finally: + self._initialized = False + + def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: + """Get GPU utilization information for all AMD GPUs.""" + if not self._initialized: + if not self._initialize(): + return [] + + gpu_utilizations = [] + + try: + num_gpus = self._pyamdsmi.smi_get_device_count() + processes = self._pyamdsmi.smi_get_device_compute_process() + + for i in range(num_gpus): + utilization = self._pyamdsmi.smi_get_device_utilization(i) + if utilization == -1: + utilization = -1 + + # Get running processes + processes_pids = [] + for process in self._pyamdsmi.smi_get_compute_process_info_by_device( + i, processes + ): + if process.vram_usage: + processes_pids.append( + ProcessGPUInfo( + pid=int(process.process_id), + gpu_memory_usage=int(process.vram_usage) // MB, + ) + ) + + info = GpuUtilizationInfo( + index=i, + name=self._decode(self._pyamdsmi.smi_get_device_name(i)), + uuid=hex(self._pyamdsmi.smi_get_device_unique_id(i)), + utilization_gpu=utilization, + memory_used=int(self._pyamdsmi.smi_get_device_memory_used(i)) // MB, + memory_total=int(self._pyamdsmi.smi_get_device_memory_total(i)) + // MB, + processes_pids=processes_pids, + ) + gpu_utilizations.append(info) + + except Exception as e: + logger.warning(f"Error getting AMD GPU utilization: {e}") + finally: + self._shutdown() + + return gpu_utilizations + + +class GpuMetricProvider: + """Provider class for GPU metrics collection.""" + + def __init__(self): + self._provider: Optional[GpuProvider] = None + self._enable_metric_report = True + self._providers = [NvidiaGpuProvider(), AmdGpuProvider()] + self._initialized = False + + def initialize(self) -> bool: + """Initialize the GPU metric provider by detecting available GPU providers.""" + if self._initialized: + return True + + self._provider = self._detect_gpu_provider() + + if self._provider is None: + # Check if we should disable GPU check entirely + try: + # Try NVIDIA first to check for the specific error condition + nvidia_provider = NvidiaGpuProvider() + nvidia_provider._initialize() + except Exception as e: + if self._should_disable_gpu_check(e): + self._enable_metric_report = False + + self._initialized = True + return self._provider is not None + + def _detect_gpu_provider(self) -> Optional[GpuProvider]: + """Detect and return the first available GPU provider.""" + for provider in self._providers: + if provider.is_available(): + return provider + return None + + def _should_disable_gpu_check(self, nvidia_error: Exception) -> bool: + """ + Check if we should disable GPU usage check based on the error. + + On machines without GPUs, pynvml.nvmlInit() can run subprocesses that + spew to stderr. Then with log_to_driver=True, we get log spew from every + single raylet. To avoid this, disable the GPU usage check on certain errors. + + See: https://github.com/ray-project/ray/issues/14305 + """ + if type(nvidia_error).__name__ != "NVMLError_DriverNotLoaded": + return False + + try: + result = subprocess.check_output( + "cat /sys/module/amdgpu/initstate |grep live", + shell=True, + stderr=subprocess.DEVNULL, + ) + # If AMD GPU module is not live and NVIDIA driver not loaded, + # disable GPU check + return len(str(result)) == 0 + except Exception: + return False + + def get_gpu_usage(self) -> List[GpuUtilizationInfo]: + """Get GPU usage information from the available provider.""" + if not self._enable_metric_report: + return [] + + if not self._initialized: + self.initialize() + + if self._provider is None: + return [] + + try: + gpu_info_list = self._provider.get_gpu_utilization() + return gpu_info_list # Return TypedDict instances directly + except Exception as e: + logger.debug( + f"Error getting GPU usage from {self._provider.get_provider_name().value}: {e}" + ) + return [] + + def get_provider_name(self) -> Optional[str]: + """Get the name of the current GPU provider.""" + return self._provider.get_provider_name().value if self._provider else None + + def is_metric_report_enabled(self) -> bool: + """Check if GPU metric reporting is enabled.""" + return self._enable_metric_report diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 8b0588cb2086..59ab2bb5adbe 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -9,7 +9,7 @@ import traceback from collections import defaultdict from concurrent.futures import ThreadPoolExecutor -from typing import List, Optional, Tuple, TypedDict, Union +from typing import List, Optional, Tuple from opencensus.stats import stats as stats_module from prometheus_client.core import REGISTRY @@ -28,9 +28,13 @@ import ray.dashboard.utils as dashboard_utils from ray._common.utils import ( get_or_create_event_loop, - get_system_memory, get_user_temp_dir, ) +from ray._private.utils import get_system_memory +from ray.dashboard.modules.reporter.gpu_providers import ( + GpuMetricProvider, + TpuUtilizationInfo, +) from ray._private import utils from ray._private.metrics_agent import Gauge, MetricsAgent, Record from ray._private.ray_constants import ( @@ -63,8 +67,6 @@ logger = logging.getLogger(__name__) -enable_gpu_usage_check = True - enable_tpu_usage_check = True # Are we in a K8s pod? @@ -367,43 +369,6 @@ def jsonify_asdict(o) -> str: else [] ) -MB = 1024 * 1024 - -# Types -Percentage = int -Megabytes = int -Bytes = int - - -# gpu utilization for nvidia gpu from a single process -class ProcessGPUInfo(TypedDict): - pid: int - gpu_memory_usage: Megabytes - - -# gpu utilization for nvidia gpu -class GpuUtilizationInfo(TypedDict): - index: int - name: str - uuid: str - utilization_gpu: Optional[Percentage] - memory_used: Megabytes - memory_total: Megabytes - processes_pids: Optional[List[ProcessGPUInfo]] - - -# tpu utilization for google tpu -class TpuUtilizationInfo(TypedDict): - index: int - name: str - tpu_type: str - tpu_topology: str - tensorcore_utilization: Percentage - hbm_utilization: Percentage - duty_cycle: Percentage - memory_used: Bytes - memory_total: Bytes - class ReporterAgent( dashboard_utils.DashboardAgentModule, @@ -500,6 +465,9 @@ def __init__(self, dashboard_agent): ) self._gpu_profiling_manager.start_monitoring_daemon() + # Create GPU metric provider instance + self._gpu_metric_provider = GpuMetricProvider() + async def GetTraceback(self, request, context): pid = request.pid native = request.native @@ -681,82 +649,9 @@ def _get_cpu_percent(in_k8s: bool): else: return psutil.cpu_percent() - @staticmethod - def _get_gpu_usage(): - import ray._private.thirdparty.pynvml as pynvml - - global enable_gpu_usage_check - if not enable_gpu_usage_check: - return [] - gpu_utilizations = [] - - def decode(b: Union[str, bytes]) -> str: - if isinstance(b, bytes): - return b.decode("utf-8") # for python3, to unicode - return b - - try: - pynvml.nvmlInit() - except Exception as e: - logger.debug(f"pynvml failed to retrieve GPU information: {e}") - - # On machines without GPUs, pynvml.nvmlInit() can run subprocesses that - # spew to stderr. Then with log_to_driver=True, we get log spew from every - # single raylet. To avoid this, disable the GPU usage check on - # certain errors. - # https://github.com/ray-project/ray/issues/14305 - # https://github.com/ray-project/ray/pull/21686 - if type(e).__name__ == "NVMLError_DriverNotLoaded": - enable_gpu_usage_check = False - return gpu_utilizations - - num_gpus = pynvml.nvmlDeviceGetCount() - for i in range(num_gpus): - gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(i) - memory_info = pynvml.nvmlDeviceGetMemoryInfo(gpu_handle) - utilization = None - try: - utilization_info = pynvml.nvmlDeviceGetUtilizationRates(gpu_handle) - utilization = int(utilization_info.gpu) - except pynvml.NVMLError as e: - logger.debug(f"pynvml failed to retrieve GPU utilization: {e}") - - # processes pids - processes_pids = None - try: - nv_comp_processes = pynvml.nvmlDeviceGetComputeRunningProcesses( - gpu_handle - ) - nv_graphics_processes = pynvml.nvmlDeviceGetGraphicsRunningProcesses( - gpu_handle - ) - processes_pids = [ - ProcessGPUInfo( - pid=int(nv_process.pid), - gpu_memory_usage=( - int(nv_process.usedGpuMemory) // MB - if nv_process.usedGpuMemory - else 0 - ), - ) - for nv_process in (nv_comp_processes + nv_graphics_processes) - ] - except pynvml.NVMLError as e: - logger.debug(f"pynvml failed to retrieve GPU processes: {e}") - - info = GpuUtilizationInfo( - index=i, - name=decode(pynvml.nvmlDeviceGetName(gpu_handle)), - uuid=decode(pynvml.nvmlDeviceGetUUID(gpu_handle)), - utilization_gpu=utilization, - memory_used=int(memory_info.used) // MB, - memory_total=int(memory_info.total) // MB, - processes_pids=processes_pids, - ) - gpu_utilizations.append(info) - pynvml.nvmlShutdown() - - return gpu_utilizations + def _get_gpu_usage(self): + """Get GPU usage information using the GPU metric provider.""" + return self._gpu_metric_provider.get_gpu_usage() @staticmethod def _get_tpu_usage() -> List[TpuUtilizationInfo]: @@ -1744,6 +1639,9 @@ async def run(self, server): self, server ) + # Initialize GPU metric provider when the agent starts + self._gpu_metric_provider.initialize() + await self._run_loop() @staticmethod diff --git a/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py new file mode 100644 index 000000000000..4b6dfbe816b9 --- /dev/null +++ b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py @@ -0,0 +1,614 @@ +"""Unit tests for GPU providers.""" + +import unittest +from unittest.mock import Mock, patch + +from ray.dashboard.modules.reporter.gpu_providers import ( + GpuProvider, + GpuProviderType, + NvidiaGpuProvider, + AmdGpuProvider, + GpuMetricProvider, + ProcessGPUInfo, + GpuUtilizationInfo, + MB, +) + + +class TestProcessGPUInfo(unittest.TestCase): + """Test ProcessGPUInfo TypedDict.""" + + def test_creation(self): + """Test ProcessGPUInfo creation.""" + process_info = ProcessGPUInfo(pid=1234, gpu_memory_usage=256) + + self.assertEqual(process_info["pid"], 1234) + self.assertEqual(process_info["gpu_memory_usage"], 256) + + +class TestGpuUtilizationInfo(unittest.TestCase): + """Test GpuUtilizationInfo TypedDict.""" + + def test_creation_with_processes(self): + """Test GpuUtilizationInfo with process information.""" + process1 = ProcessGPUInfo(pid=1234, gpu_memory_usage=256) + process2 = ProcessGPUInfo(pid=5678, gpu_memory_usage=512) + + gpu_info = GpuUtilizationInfo( + index=0, + name="NVIDIA GeForce RTX 3080", + uuid="GPU-12345678-1234-1234-1234-123456789abc", + utilization_gpu=75, + memory_used=8192, + memory_total=10240, + processes_pids=[process1, process2], + ) + + self.assertEqual(gpu_info["index"], 0) + self.assertEqual(gpu_info["name"], "NVIDIA GeForce RTX 3080") + self.assertEqual(gpu_info["uuid"], "GPU-12345678-1234-1234-1234-123456789abc") + self.assertEqual(gpu_info["utilization_gpu"], 75) + self.assertEqual(gpu_info["memory_used"], 8192) + self.assertEqual(gpu_info["memory_total"], 10240) + self.assertEqual(len(gpu_info["processes_pids"]), 2) + + def test_creation_without_processes(self): + """Test GpuUtilizationInfo without process information.""" + gpu_info = GpuUtilizationInfo( + index=1, + name="AMD Radeon RX 6800 XT", + uuid="GPU-87654321-4321-4321-4321-ba9876543210", + utilization_gpu=None, + memory_used=4096, + memory_total=16384, + processes_pids=None, + ) + + self.assertEqual(gpu_info["index"], 1) + self.assertEqual(gpu_info["name"], "AMD Radeon RX 6800 XT") + self.assertEqual(gpu_info["uuid"], "GPU-87654321-4321-4321-4321-ba9876543210") + self.assertIsNone(gpu_info["utilization_gpu"]) # Should be None, not -1 + self.assertEqual(gpu_info["memory_used"], 4096) + self.assertEqual(gpu_info["memory_total"], 16384) + self.assertIsNone(gpu_info["processes_pids"]) # Should be None, not [] + + +class TestGpuProvider(unittest.TestCase): + """Test abstract GpuProvider class.""" + + def test_decode_bytes(self): + """Test _decode method with bytes input.""" + result = GpuProvider._decode(b"test string") + self.assertEqual(result, "test string") + + def test_decode_string(self): + """Test _decode method with string input.""" + result = GpuProvider._decode("test string") + self.assertEqual(result, "test string") + + def test_abstract_methods_not_implemented(self): + """Test that abstract methods raise NotImplementedError.""" + + class IncompleteProvider(GpuProvider): + pass + + with self.assertRaises(TypeError): + IncompleteProvider() + + +class TestNvidiaGpuProvider(unittest.TestCase): + """Test NvidiaGpuProvider class.""" + + def setUp(self): + """Set up test fixtures.""" + self.provider = NvidiaGpuProvider() + + def test_get_provider_name(self): + """Test provider name.""" + self.assertEqual(self.provider.get_provider_name(), GpuProviderType.NVIDIA) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_is_available_success(self, mock_pynvml): + """Test is_available when NVIDIA GPU is available.""" + mock_pynvml.nvmlInit.return_value = None + mock_pynvml.nvmlShutdown.return_value = None + + # Mock sys.modules to make the import work + import sys + + original_modules = sys.modules.copy() + sys.modules["ray._private.thirdparty.pynvml"] = mock_pynvml + + try: + self.assertTrue(self.provider.is_available()) + mock_pynvml.nvmlInit.assert_called_once() + mock_pynvml.nvmlShutdown.assert_called_once() + finally: + # Restore original modules + sys.modules.clear() + sys.modules.update(original_modules) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_is_available_failure(self, mock_pynvml): + """Test is_available when NVIDIA GPU is not available.""" + mock_pynvml.nvmlInit.side_effect = Exception("NVIDIA driver not found") + + # Mock sys.modules to make the import work but nvmlInit fail + import sys + + original_modules = sys.modules.copy() + sys.modules["ray._private.thirdparty.pynvml"] = mock_pynvml + + try: + self.assertFalse(self.provider.is_available()) + finally: + # Restore original modules + sys.modules.clear() + sys.modules.update(original_modules) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_initialize_success(self, mock_pynvml): + """Test successful initialization.""" + # Ensure provider starts fresh + self.provider._initialized = False + + mock_pynvml.nvmlInit.return_value = None + + # Mock sys.modules to make the import work + import sys + + original_modules = sys.modules.copy() + sys.modules["ray._private.thirdparty.pynvml"] = mock_pynvml + + try: + self.assertTrue(self.provider._initialize()) + self.assertTrue(self.provider._initialized) + mock_pynvml.nvmlInit.assert_called_once() + finally: + # Restore original modules + sys.modules.clear() + sys.modules.update(original_modules) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_initialize_failure(self, mock_pynvml): + """Test failed initialization.""" + # Ensure provider starts fresh + self.provider._initialized = False + + # Make nvmlInit fail + mock_pynvml.nvmlInit.side_effect = Exception("Initialization failed") + + # Mock sys.modules to make the import work but nvmlInit fail + import sys + + original_modules = sys.modules.copy() + sys.modules["ray._private.thirdparty.pynvml"] = mock_pynvml + + try: + self.assertFalse(self.provider._initialize()) + self.assertFalse(self.provider._initialized) + finally: + # Restore original modules + sys.modules.clear() + sys.modules.update(original_modules) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_initialize_already_initialized(self, mock_pynvml): + """Test initialization when already initialized.""" + self.provider._initialized = True + + self.assertTrue(self.provider._initialize()) + mock_pynvml.nvmlInit.assert_not_called() + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_shutdown(self, mock_pynvml): + """Test shutdown.""" + self.provider._initialized = True + self.provider._pynvml = mock_pynvml + + self.provider._shutdown() + + self.assertFalse(self.provider._initialized) + mock_pynvml.nvmlShutdown.assert_called_once() + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_shutdown_not_initialized(self, mock_pynvml): + """Test shutdown when not initialized.""" + self.provider._shutdown() + mock_pynvml.nvmlShutdown.assert_not_called() + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_get_gpu_utilization_success(self, mock_pynvml): + """Test successful GPU utilization retrieval.""" + # Mock GPU device + mock_handle = Mock() + mock_memory_info = Mock() + mock_memory_info.used = 8 * MB * 1024 # 8GB used + mock_memory_info.total = 12 * MB * 1024 # 12GB total + + mock_utilization_info = Mock() + mock_utilization_info.gpu = 75 + + mock_process = Mock() + mock_process.pid = 1234 + mock_process.usedGpuMemory = 256 * MB + + # Configure mocks + mock_pynvml.nvmlInit.return_value = None + mock_pynvml.nvmlDeviceGetCount.return_value = 1 + mock_pynvml.nvmlDeviceGetHandleByIndex.return_value = mock_handle + mock_pynvml.nvmlDeviceGetMemoryInfo.return_value = mock_memory_info + mock_pynvml.nvmlDeviceGetUtilizationRates.return_value = mock_utilization_info + mock_pynvml.nvmlDeviceGetComputeRunningProcesses.return_value = [mock_process] + mock_pynvml.nvmlDeviceGetGraphicsRunningProcesses.return_value = [] + mock_pynvml.nvmlDeviceGetName.return_value = b"NVIDIA GeForce RTX 3080" + mock_pynvml.nvmlDeviceGetUUID.return_value = ( + b"GPU-12345678-1234-1234-1234-123456789abc" + ) + mock_pynvml.nvmlShutdown.return_value = None + + # Set up provider state + self.provider._pynvml = mock_pynvml + self.provider._initialized = True + + result = self.provider.get_gpu_utilization() + + self.assertEqual(len(result), 1) + gpu_info = result[0] + + self.assertEqual(gpu_info["index"], 0) + self.assertEqual(gpu_info["name"], "NVIDIA GeForce RTX 3080") + self.assertEqual(gpu_info["uuid"], "GPU-12345678-1234-1234-1234-123456789abc") + self.assertEqual(gpu_info["utilization_gpu"], 75) + self.assertEqual(gpu_info["memory_used"], 8 * 1024) # 8GB in MB + self.assertEqual(gpu_info["memory_total"], 12 * 1024) # 12GB in MB + self.assertEqual(len(gpu_info["processes_pids"]), 1) + self.assertEqual(gpu_info["processes_pids"][0]["pid"], 1234) + self.assertEqual(gpu_info["processes_pids"][0]["gpu_memory_usage"], 256) + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_get_gpu_utilization_with_errors(self, mock_pynvml): + """Test GPU utilization retrieval with partial errors.""" + mock_handle = Mock() + mock_memory_info = Mock() + mock_memory_info.used = 4 * MB * 1024 + mock_memory_info.total = 8 * MB * 1024 + + # Create mock NVML error class + class MockNVMLError(Exception): + pass + + mock_pynvml.NVMLError = MockNVMLError + + # Configure mocks with some failures + mock_pynvml.nvmlInit.return_value = None + mock_pynvml.nvmlDeviceGetCount.return_value = 1 + mock_pynvml.nvmlDeviceGetHandleByIndex.return_value = mock_handle + mock_pynvml.nvmlDeviceGetMemoryInfo.return_value = mock_memory_info + mock_pynvml.nvmlDeviceGetUtilizationRates.side_effect = MockNVMLError( + "Utilization not available" + ) + mock_pynvml.nvmlDeviceGetComputeRunningProcesses.side_effect = MockNVMLError( + "Process info not available" + ) + mock_pynvml.nvmlDeviceGetGraphicsRunningProcesses.side_effect = MockNVMLError( + "Process info not available" + ) + mock_pynvml.nvmlDeviceGetName.return_value = b"NVIDIA Tesla V100" + mock_pynvml.nvmlDeviceGetUUID.return_value = ( + b"GPU-87654321-4321-4321-4321-ba9876543210" + ) + mock_pynvml.nvmlShutdown.return_value = None + + # Set up provider state + self.provider._pynvml = mock_pynvml + self.provider._initialized = True + + result = self.provider.get_gpu_utilization() + + self.assertEqual(len(result), 1) + gpu_info = result[0] + + self.assertEqual(gpu_info["index"], 0) + self.assertEqual(gpu_info["name"], "NVIDIA Tesla V100") + self.assertEqual(gpu_info["utilization_gpu"], -1) # Should be -1 due to error + self.assertEqual( + gpu_info["processes_pids"], [] + ) # Should be empty list due to error + + @patch("ray._private.thirdparty.pynvml", create=True) + def test_get_gpu_utilization_with_mig(self, mock_pynvml): + """Test GPU utilization retrieval with MIG devices.""" + # Mock regular GPU handle + mock_gpu_handle = Mock() + mock_memory_info = Mock() + mock_memory_info.used = 4 * MB * 1024 + mock_memory_info.total = 8 * MB * 1024 + + # Mock MIG device handle and info + mock_mig_handle = Mock() + mock_mig_memory_info = Mock() + mock_mig_memory_info.used = 2 * MB * 1024 + mock_mig_memory_info.total = 4 * MB * 1024 + + mock_mig_utilization_info = Mock() + mock_mig_utilization_info.gpu = 80 + + # Configure mocks for MIG-enabled GPU + mock_pynvml.nvmlInit.return_value = None + mock_pynvml.nvmlDeviceGetCount.return_value = 1 + mock_pynvml.nvmlDeviceGetHandleByIndex.return_value = mock_gpu_handle + + # MIG mode enabled + mock_pynvml.nvmlDeviceGetMigMode.return_value = ( + True, + True, + ) # (current, pending) + mock_pynvml.nvmlDeviceGetMaxMigDeviceCount.return_value = 1 # Only 1 MIG device + mock_pynvml.nvmlDeviceGetMigDeviceHandleByIndex.return_value = mock_mig_handle + + # MIG device info + mock_pynvml.nvmlDeviceGetMemoryInfo.return_value = mock_mig_memory_info + mock_pynvml.nvmlDeviceGetUtilizationRates.return_value = ( + mock_mig_utilization_info + ) + mock_pynvml.nvmlDeviceGetComputeRunningProcesses.return_value = [] + mock_pynvml.nvmlDeviceGetGraphicsRunningProcesses.return_value = [] + mock_pynvml.nvmlDeviceGetName.return_value = b"NVIDIA A100-SXM4-40GB MIG 1g.5gb" + mock_pynvml.nvmlDeviceGetUUID.return_value = ( + b"MIG-12345678-1234-1234-1234-123456789abc" + ) + mock_pynvml.nvmlShutdown.return_value = None + + # Set up provider state + self.provider._pynvml = mock_pynvml + self.provider._initialized = True + + result = self.provider.get_gpu_utilization() + + # Should return MIG device info instead of regular GPU + self.assertEqual( + len(result), 1 + ) # Only one MIG device due to exception handling + gpu_info = result[0] + + self.assertEqual(gpu_info["index"], 0) # First MIG device (0 * 1000 + 0) + self.assertEqual(gpu_info["name"], "NVIDIA A100-SXM4-40GB MIG 1g.5gb") + self.assertEqual(gpu_info["uuid"], "MIG-12345678-1234-1234-1234-123456789abc") + self.assertEqual(gpu_info["utilization_gpu"], 80) + self.assertEqual(gpu_info["memory_used"], 2 * 1024) # 2GB in MB + self.assertEqual(gpu_info["memory_total"], 4 * 1024) # 4GB in MB + self.assertEqual(gpu_info["processes_pids"], []) + + +class TestAmdGpuProvider(unittest.TestCase): + """Test AmdGpuProvider class.""" + + def setUp(self): + """Set up test fixtures.""" + self.provider = AmdGpuProvider() + + def test_get_provider_name(self): + """Test provider name.""" + self.assertEqual(self.provider.get_provider_name(), GpuProviderType.AMD) + + @patch("ray._private.thirdparty.pyamdsmi", create=True) + def test_is_available_success(self, mock_pyamdsmi): + """Test is_available when AMD GPU is available.""" + mock_pyamdsmi.smi_initialize.return_value = None + mock_pyamdsmi.smi_shutdown.return_value = None + + self.assertTrue(self.provider.is_available()) + mock_pyamdsmi.smi_initialize.assert_called_once() + mock_pyamdsmi.smi_shutdown.assert_called_once() + + @patch("ray._private.thirdparty.pyamdsmi", create=True) + def test_is_available_failure(self, mock_pyamdsmi): + """Test is_available when AMD GPU is not available.""" + mock_pyamdsmi.smi_initialize.side_effect = Exception("AMD driver not found") + + self.assertFalse(self.provider.is_available()) + + @patch("ray._private.thirdparty.pyamdsmi", create=True) + def test_initialize_success(self, mock_pyamdsmi): + """Test successful initialization.""" + mock_pyamdsmi.smi_initialize.return_value = None + + self.assertTrue(self.provider._initialize()) + self.assertTrue(self.provider._initialized) + mock_pyamdsmi.smi_initialize.assert_called_once() + + @patch("ray._private.thirdparty.pyamdsmi", create=True) + def test_get_gpu_utilization_success(self, mock_pyamdsmi): + """Test successful GPU utilization retrieval.""" + mock_process = Mock() + mock_process.process_id = 5678 + mock_process.vram_usage = 512 * MB + + # Configure mocks + mock_pyamdsmi.smi_initialize.return_value = None + mock_pyamdsmi.smi_get_device_count.return_value = 1 + mock_pyamdsmi.smi_get_device_id.return_value = "device_0" + mock_pyamdsmi.smi_get_device_utilization.return_value = 85 + mock_pyamdsmi.smi_get_device_compute_process.return_value = [mock_process] + mock_pyamdsmi.smi_get_compute_process_info_by_device.return_value = [ + mock_process + ] + mock_pyamdsmi.smi_get_device_name.return_value = b"AMD Radeon RX 6800 XT" + mock_pyamdsmi.smi_get_device_unique_id.return_value = 0x123456789ABCDEF0 + mock_pyamdsmi.smi_get_device_memory_used.return_value = 6 * MB * 1024 + mock_pyamdsmi.smi_get_device_memory_total.return_value = 16 * MB * 1024 + mock_pyamdsmi.smi_shutdown.return_value = None + + # Set up provider state + self.provider._pyamdsmi = mock_pyamdsmi + self.provider._initialized = True + + result = self.provider.get_gpu_utilization() + + self.assertEqual(len(result), 1) + gpu_info = result[0] + + self.assertEqual(gpu_info["index"], 0) + self.assertEqual(gpu_info["name"], "AMD Radeon RX 6800 XT") + self.assertEqual(gpu_info["uuid"], hex(0x123456789ABCDEF0)) + self.assertEqual(gpu_info["utilization_gpu"], 85) + self.assertEqual(gpu_info["memory_used"], 6 * 1024) # 6GB in MB + self.assertEqual(gpu_info["memory_total"], 16 * 1024) # 16GB in MB + self.assertEqual(len(gpu_info["processes_pids"]), 1) + self.assertEqual(gpu_info["processes_pids"][0]["pid"], 5678) + self.assertEqual(gpu_info["processes_pids"][0]["gpu_memory_usage"], 512) + + +class TestGpuMetricProvider(unittest.TestCase): + """Test GpuMetricProvider class.""" + + def setUp(self): + """Set up test fixtures.""" + self.provider = GpuMetricProvider() + + def test_init(self): + """Test GpuMetricProvider initialization.""" + self.assertIsNone(self.provider._provider) + self.assertTrue(self.provider._enable_metric_report) + self.assertEqual(len(self.provider._providers), 2) + self.assertFalse(self.provider._initialized) + + @patch.object(NvidiaGpuProvider, "is_available", return_value=True) + @patch.object(AmdGpuProvider, "is_available", return_value=False) + def test_detect_gpu_provider_nvidia( + self, mock_amd_available, mock_nvidia_available + ): + """Test GPU provider detection when NVIDIA is available.""" + provider = self.provider._detect_gpu_provider() + + self.assertIsInstance(provider, NvidiaGpuProvider) + mock_nvidia_available.assert_called_once() + + @patch.object(NvidiaGpuProvider, "is_available", return_value=False) + @patch.object(AmdGpuProvider, "is_available", return_value=True) + def test_detect_gpu_provider_amd(self, mock_amd_available, mock_nvidia_available): + """Test GPU provider detection when AMD is available.""" + provider = self.provider._detect_gpu_provider() + + self.assertIsInstance(provider, AmdGpuProvider) + mock_nvidia_available.assert_called_once() + mock_amd_available.assert_called_once() + + @patch.object(NvidiaGpuProvider, "is_available", return_value=False) + @patch.object(AmdGpuProvider, "is_available", return_value=False) + def test_detect_gpu_provider_none(self, mock_amd_available, mock_nvidia_available): + """Test GPU provider detection when no GPUs are available.""" + provider = self.provider._detect_gpu_provider() + + self.assertIsNone(provider) + + @patch("subprocess.check_output") + def test_should_disable_gpu_check_true(self, mock_subprocess): + """Test should_disable_gpu_check returns True for specific conditions.""" + mock_subprocess.return_value = "" # Empty result means AMD GPU module not live + + class MockNVMLError(Exception): + pass + + MockNVMLError.__name__ = "NVMLError_DriverNotLoaded" + + error = MockNVMLError("NVIDIA driver not loaded") + + result = self.provider._should_disable_gpu_check(error) + self.assertTrue(result) + + @patch("subprocess.check_output") + def test_should_disable_gpu_check_false_wrong_error(self, mock_subprocess): + """Test should_disable_gpu_check returns False for wrong error type.""" + mock_subprocess.return_value = "" + + error = Exception("Some other error") + + result = self.provider._should_disable_gpu_check(error) + self.assertFalse(result) + + @patch("subprocess.check_output") + def test_should_disable_gpu_check_false_amd_present(self, mock_subprocess): + """Test should_disable_gpu_check returns False when AMD GPU is present.""" + mock_subprocess.return_value = "live" # AMD GPU module is live + + class MockNVMLError(Exception): + pass + + MockNVMLError.__name__ = "NVMLError_DriverNotLoaded" + + error = MockNVMLError("NVIDIA driver not loaded") + + result = self.provider._should_disable_gpu_check(error) + self.assertFalse(result) + + def test_get_gpu_usage_disabled(self): + """Test get_gpu_usage when GPU usage check is disabled.""" + self.provider._enable_metric_report = False + + result = self.provider.get_gpu_usage() + self.assertEqual(result, []) + + @patch.object(GpuMetricProvider, "_detect_gpu_provider") + def test_get_gpu_usage_no_provider(self, mock_detect): + """Test get_gpu_usage when no GPU provider is available.""" + mock_detect.return_value = None + + with patch.object( + NvidiaGpuProvider, "_initialize", side_effect=Exception("No GPU") + ): + result = self.provider.get_gpu_usage() + + self.assertEqual(result, []) + self.provider._initialized = False # Reset for clean test + mock_detect.assert_called_once() + + @patch.object(GpuMetricProvider, "_detect_gpu_provider") + def test_get_gpu_usage_success(self, mock_detect): + """Test successful get_gpu_usage.""" + mock_provider = Mock() + mock_provider.get_gpu_utilization.return_value = [ + GpuUtilizationInfo( + index=0, + name="Test GPU", + uuid="test-uuid", + utilization_gpu=50, + memory_used=1024, + memory_total=2048, + processes_pids=None, + ) + ] + mock_detect.return_value = mock_provider + + result = self.provider.get_gpu_usage() + + self.assertEqual(len(result), 1) + self.assertEqual(result[0]["index"], 0) + self.assertEqual(result[0]["name"], "Test GPU") + mock_provider.get_gpu_utilization.assert_called_once() + + def test_get_provider_name_no_provider(self): + """Test get_provider_name when no provider is set.""" + result = self.provider.get_provider_name() + self.assertIsNone(result) + + def test_get_provider_name_with_provider(self): + """Test get_provider_name when provider is set.""" + mock_provider = Mock() + mock_provider.get_provider_name.return_value = GpuProviderType.NVIDIA + self.provider._provider = mock_provider + + result = self.provider.get_provider_name() + self.assertEqual(result, "nvidia") + + def test_is_metric_report_enabled(self): + """Test is_metric_report_enabled.""" + self.assertTrue(self.provider.is_metric_report_enabled()) + + self.provider._enable_metric_report = False + self.assertFalse(self.provider.is_metric_report_enabled()) + + +if __name__ == "__main__": + unittest.main() From b2a623d0ea6d8c00e5b4b7290db4616ea83c2ba4 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 24 Jul 2025 11:07:10 -0500 Subject: [PATCH 0336/1566] [core] Standardize interface on `shared_ptr` to worker (#54888) Matching all other places and fulfilling the TODO. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/node_manager.cc | 23 ++++++++++------------- src/ray/raylet/node_manager.h | 5 +++-- 2 files changed, 13 insertions(+), 15 deletions(-) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 66d553c16543..11edd3cd29f4 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2136,15 +2136,12 @@ void NodeManager::AsyncResolveObjectsFinish( dependency_manager_.CancelGetRequest(worker->WorkerId()); } -bool NodeManager::FinishAssignedTask(const std::shared_ptr &worker_ptr) { - // TODO(Alex): We should standardize to pass - // std::shared_ptr instead of refs. - auto &worker = *worker_ptr; - TaskID task_id = worker.GetAssignedTaskId(); +bool NodeManager::FinishAssignedTask(const std::shared_ptr &worker) { + TaskID task_id = worker->GetAssignedTaskId(); RAY_LOG(DEBUG).WithField(task_id) << "Finished task "; RayTask task; - local_task_manager_.TaskFinished(worker_ptr, &task); + local_task_manager_.TaskFinished(worker, &task); const auto &spec = task.GetTaskSpecification(); // if ((spec.IsActorCreationTask())) { @@ -2154,31 +2151,31 @@ bool NodeManager::FinishAssignedTask(const std::shared_ptr &wor } else { // If this was a non-actor task, then cancel any ray.wait calls that were // made during the task execution. - dependency_manager_.CancelWaitRequest(worker.WorkerId()); + dependency_manager_.CancelWaitRequest(worker->WorkerId()); } // Notify the task dependency manager that this task has finished execution. - dependency_manager_.CancelGetRequest(worker.WorkerId()); + dependency_manager_.CancelGetRequest(worker->WorkerId()); if (!spec.IsActorCreationTask()) { // Unset the worker's assigned task. We keep the assigned task ID for // actor creation calls because this ID is used later if the actor // requires objects from plasma. - worker.AssignTaskId(TaskID::Nil()); - worker.SetOwnerAddress(rpc::Address()); + worker->AssignTaskId(TaskID::Nil()); + worker->SetOwnerAddress(rpc::Address()); } // Actors will be assigned tasks via the core worker and therefore are not idle. return !spec.IsActorCreationTask(); } -void NodeManager::FinishAssignedActorCreationTask(WorkerInterface &worker, - const RayTask &task) { +void NodeManager::FinishAssignedActorCreationTask( + const std::shared_ptr &worker, const RayTask &task) { RAY_LOG(DEBUG) << "Finishing assigned actor creation task"; const TaskSpecification task_spec = task.GetTaskSpecification(); ActorID actor_id = task_spec.ActorCreationId(); // This was an actor creation task. Convert the worker to an actor. - worker.AssignActorId(actor_id); + worker->AssignActorId(actor_id); if (task_spec.IsDetachedActor()) { auto job_id = task.GetTaskSpecification().JobId(); diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 8dd1a74e8b93..ec940ed1a49d 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -363,13 +363,14 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param worker The worker that finished the task. /// \return Whether the worker should be returned to the idle pool. This is /// only false for actor creation calls, which should never be returned to idle. - bool FinishAssignedTask(const std::shared_ptr &worker_ptr); + bool FinishAssignedTask(const std::shared_ptr &worker); /// Handle a worker finishing an assigned actor creation task. /// \param worker The worker that finished the task. /// \param task The actor task or actor creation task. /// \return Void. - void FinishAssignedActorCreationTask(WorkerInterface &worker, const RayTask &task); + void FinishAssignedActorCreationTask(const std::shared_ptr &worker, + const RayTask &task); /// Handle blocking gets of objects. This could be a task assigned to a worker, /// an out-of-band task (e.g., a thread created by the application), or a From 27f7a2162ab9b2f7ca04efea440d9bc9f4e339de Mon Sep 17 00:00:00 2001 From: jectpro7 Date: Fri, 25 Jul 2025 00:47:25 +0800 Subject: [PATCH 0337/1566] [Serve] Never sleep at first routing attempt (#54862) ## Why are these changes needed? The first routing attempt should never wait. ## Related issue number Fix issue: https://github.com/ray-project/ray/issues/54800 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Jie Pu Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 2 +- .../_private/request_router/request_router.py | 15 ++++++++------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 0877dfd4cd3d..9e59681382f5 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -344,7 +344,7 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # Backoff seconds when choosing router failed, backoff time is calculated as # initial_backoff_s * backoff_multiplier ** attempt. -# The default backoff time is [0.025, 0.05, 0.1, 0.2, 0.4, 0.5, 0.5 ... ]. +# The default backoff time is [0, 0.025, 0.05, 0.1, 0.2, 0.4, 0.5, 0.5 ... ]. RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S = float( os.environ.get("RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S", 0.025) ) diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index b1046ad15b2f..11153f58c59a 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -943,13 +943,14 @@ async def _choose_replicas_with_backoff( self.num_routing_tasks_in_backoff_gauge.set( self.num_routing_tasks_in_backoff ) - - backoff_s = min( - self.initial_backoff_s * self.backoff_multiplier**attempt, - self.max_backoff_s, - ) - await asyncio.sleep(backoff_s) - attempt += 1 + else: + # Only backoff after the first retry. + backoff_s = min( + self.initial_backoff_s * self.backoff_multiplier**attempt, + self.max_backoff_s, + ) + await asyncio.sleep(backoff_s) + attempt += 1 finally: if entered_backoff: self.num_routing_tasks_in_backoff -= 1 From 859aaf3110e198c3284b470c93858384aaa7d34c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 24 Jul 2025 12:33:28 -0500 Subject: [PATCH 0338/1566] [core] Remove protected fields in worker context (#54889) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The mentioned unit tests don't exist 🤔. The comment was probably referring to the since-removed core worker integration tests. Also added some clarifying comments. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/core_worker/context.h | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/src/ray/core_worker/context.h b/src/ray/core_worker/context.h index 2c6159f72df4..64d021a62558 100644 --- a/src/ray/core_worker/context.h +++ b/src/ray/core_worker/context.h @@ -136,11 +136,6 @@ class WorkerContext { int64_t GetTaskDepth() const; - protected: - // allow unit test to set. - bool current_actor_is_direct_call_ = false; - bool current_task_is_direct_call_ = false; - private: const WorkerType worker_type_; const WorkerID worker_id_; @@ -150,6 +145,10 @@ class WorkerContext { std::optional job_config_ ABSL_GUARDED_BY(mutex_); int64_t task_depth_ ABSL_GUARDED_BY(mutex_) = 0; + // `true` if the worker has ever begun executing a normal (non-actor) task. + bool current_task_is_direct_call_ ABSL_GUARDED_BY(mutex_) = false; + // `true` if the worker has ever begun executing an actor creation task. + bool current_actor_is_direct_call_ ABSL_GUARDED_BY(mutex_) = false; ActorID current_actor_id_ ABSL_GUARDED_BY(mutex_); int current_actor_max_concurrency_ ABSL_GUARDED_BY(mutex_) = 1; bool current_actor_is_asyncio_ ABSL_GUARDED_BY(mutex_) = false; From a3b95d4205f896058555c7e005a3a49a27789b69 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 24 Jul 2025 11:06:59 -0700 Subject: [PATCH 0339/1566] [Data] Fix the calculation in the log of resource manager (#54878) ## Why are these changes needed? It's incorrectly dividing by 10^9 instead of 1024^3, so the total memory in the log statement is incorrect. --------- Signed-off-by: Goutam V Signed-off-by: goutamvenkat-anyscale Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/execution/resource_manager.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index e36e2bdbf0d1..aef320c50c40 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -21,6 +21,7 @@ from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer from ray.data._internal.execution.operators.zip_operator import ZipOperator from ray.data._internal.execution.util import memory_string +from ray.data._internal.util import GiB from ray.data.context import DataContext from ray.util.debug import log_once @@ -132,8 +133,8 @@ def _warn_about_object_store_memory_if_needed(self): ): logger.warning( f"{WARN_PREFIX} Ray's object store is configured to use only " - f"{object_store_fraction:.1%} of available memory ({object_store_memory/1e9:.1f}GB " - f"out of {total_memory/1e9:.1f}GB total). For optimal Ray Data performance, " + f"{object_store_fraction:.1%} of available memory ({object_store_memory/GiB:.1f}GiB " + f"out of {total_memory/GiB:.1f}GiB total). For optimal Ray Data performance, " f"we recommend setting the object store to at least 50% of available memory. " f"You can do this by setting the 'object_store_memory' parameter when calling " f"ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable." From bc58a31b7b8d66c80d3ddf12fbbaef19d3a0bb38 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 24 Jul 2025 13:03:29 -0700 Subject: [PATCH 0340/1566] [core][otel/11] turn on open telemetry for performance tests (#54870) Turn on the full open telemetry stack for all release performance tests (those that are using the aws_perf environment). I already sanity check `microbenchmark` and `stress_test_many_tasks` and they look good. For the rest of the tests, I'll defer to go/cd after this PR is merged for sanity check. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 41 +++++++++++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 5 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 63c751aa3b19..d36e54dd4c82 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2827,7 +2827,10 @@ team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: stress_tests/placement_group_tests_compute.yaml run: @@ -2899,7 +2902,10 @@ working_dir: microbenchmark cluster: - byod: {} + byod: + runtime_env: + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: tpl_64.yaml run: @@ -3144,7 +3150,10 @@ frequency: nightly team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3184,7 +3193,10 @@ frequency: nightly team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3316,7 +3328,10 @@ team: core env: aws_perf cluster: - byod: {} + byod: + runtime_env: + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: stress_tests/stress_tests_single_node_oom_compute.yaml run: @@ -3480,6 +3495,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: single_node.yaml run: @@ -3507,6 +3524,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: object_store.yaml run: @@ -3535,6 +3554,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: object_store/small_objects.yaml run: @@ -3558,6 +3579,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: object_store/large_objects.yaml run: @@ -3581,6 +3604,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: distributed.yaml run: @@ -3629,6 +3654,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: distributed.yaml run: @@ -3657,6 +3684,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: distributed.yaml run: @@ -3706,6 +3735,8 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so + - RAY_experimental_enable_open_telemetry_on_agent=1 + - RAY_experimental_enable_open_telemetry_on_core=1 cluster_compute: many_nodes.yaml run: From 19736ccebf5f63e0d9fe2a2207e2be9fc5d338b3 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Thu, 24 Jul 2025 13:07:16 -0700 Subject: [PATCH 0341/1566] [scripts] Fix bezel file path in bezel format script (#54896) Signed-off-by: ZacAttack Signed-off-by: Douglas Strodtman --- ci/lint/bazel-format.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ci/lint/bazel-format.sh b/ci/lint/bazel-format.sh index 3c22c8a673e8..130c4f1873a8 100755 --- a/ci/lint/bazel-format.sh +++ b/ci/lint/bazel-format.sh @@ -50,7 +50,7 @@ BAZEL_FILES=( BUILD.bazel java/BUILD.bazel cpp/BUILD.bazel - cpp/example/BUILD.bazel + cpp/example/_BUILD.bazel WORKSPACE ) From 15fbae5cfa81e0c2a97e388576315cf88baa3fde Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 24 Jul 2025 13:59:14 -0700 Subject: [PATCH 0342/1566] Give the option to make `target_max_block_size` nullable (#54450) ## Why are these changes needed? Ray Data enforces strict block sizing which may be counter-productive in cases where the partitions are already appropriately sized. ## Related issue number https://github.com/ray-project/ray/issues/47437 --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- .../_internal/datasource/json_datasource.py | 23 +- .../datasource/parquet_datasource.py | 16 +- .../_internal/datasource/range_datasource.py | 9 +- .../interfaces/op_runtime_metrics.py | 4 + .../execution/interfaces/physical_operator.py | 5 +- .../operators/actor_pool_map_operator.py | 4 +- .../execution/operators/hash_shuffle.py | 23 +- .../execution/operators/map_transformer.py | 6 +- .../logical/rules/set_read_parallelism.py | 12 +- python/ray/data/_internal/output_buffer.py | 5 - python/ray/data/_internal/util.py | 18 +- python/ray/data/context.py | 5 +- python/ray/data/tests/conftest.py | 22 +- python/ray/data/tests/test_block_sizing.py | 32 +++ python/ray/data/tests/test_csv.py | 58 ++-- python/ray/data/tests/test_groupby_e2e.py | 24 +- python/ray/data/tests/test_json.py | 98 +++++-- python/ray/data/tests/test_map.py | 254 ++++++++++++++---- python/ray/data/tests/test_parquet.py | 219 ++++++++++++--- 19 files changed, 649 insertions(+), 188 deletions(-) diff --git a/python/ray/data/_internal/datasource/json_datasource.py b/python/ray/data/_internal/datasource/json_datasource.py index 223e6c234523..424c2b739b19 100644 --- a/python/ray/data/_internal/datasource/json_datasource.py +++ b/python/ray/data/_internal/datasource/json_datasource.py @@ -90,7 +90,10 @@ def _read_with_pyarrow_read_json(self, buffer: "pyarrow.lib.Buffer"): break except pa.ArrowInvalid as e: if "straddling object straddles two block boundaries" in str(e): - if self.read_options.block_size < max_block_size: + if ( + max_block_size is None + or self.read_options.block_size < max_block_size + ): # Increase the block size in case it was too small. logger.debug( f"JSONDatasource read failed with " @@ -180,18 +183,28 @@ def __init__( def _read_stream(self, f: "pyarrow.NativeFile", path: str): chunksize = self._estimate_chunksize(f) + stream = StrictBufferedReader(f, buffer_size=self._BUFFER_SIZE) - with pd.read_json(stream, chunksize=chunksize, lines=True) as reader: - for df in reader: - yield _cast_range_index_to_string(df) + if chunksize is None: + # When chunksize=None, pandas returns DataFrame directly (no context manager) + df = pd.read_json(stream, chunksize=chunksize, lines=True) + yield _cast_range_index_to_string(df) + else: + # When chunksize is a number, pandas returns JsonReader (supports context manager) + with pd.read_json(stream, chunksize=chunksize, lines=True) as reader: + for df in reader: + yield _cast_range_index_to_string(df) - def _estimate_chunksize(self, f: "pyarrow.NativeFile") -> int: + def _estimate_chunksize(self, f: "pyarrow.NativeFile") -> Optional[int]: """Estimate the chunksize by sampling the first row. This is necessary to avoid OOMs while reading the file. """ assert f.tell() == 0, "File pointer must be at the beginning" + if self._target_output_size_bytes is None: + return None + stream = StrictBufferedReader(f, buffer_size=self._BUFFER_SIZE) with pd.read_json(stream, chunksize=1, lines=True) as reader: try: diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index c3ca16712227..e380e613dbf8 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -478,11 +478,13 @@ def read_fragments( } def get_batch_iterable(): + if batch_size is not None: + to_batches_kwargs["batch_size"] = batch_size + return fragment.to_batches( use_threads=use_threads, columns=data_columns, schema=schema, - batch_size=batch_size, **to_batches_kwargs, ) @@ -594,16 +596,20 @@ def compute_encoding_ratio(sample_info: _SampleInfo) -> float: return max(ratio, PARQUET_ENCODING_RATIO_ESTIMATE_LOWER_BOUND) -def estimate_default_read_batch_size_rows(sample_infos: List[_SampleInfo]) -> int: +def estimate_default_read_batch_size_rows( + sample_infos: List[_SampleInfo], +) -> Optional[int]: + ctx = DataContext.get_current() + if ctx.target_max_block_size is None: + return None + def compute_batch_size_rows(sample_info: _SampleInfo) -> int: # 'actual_bytes_per_row' is None if the sampled file was empty and 0 if the data # was all null. if not sample_info.actual_bytes_per_row: return PARQUET_READER_ROW_BATCH_SIZE else: - max_parquet_reader_row_batch_size_bytes = ( - DataContext.get_current().target_max_block_size // 10 - ) + max_parquet_reader_row_batch_size_bytes = ctx.target_max_block_size // 10 return max( 1, min( diff --git a/python/ray/data/_internal/datasource/range_datasource.py b/python/ray/data/_internal/datasource/range_datasource.py index f847707017e3..0558e5fd9d06 100644 --- a/python/ray/data/_internal/datasource/range_datasource.py +++ b/python/ray/data/_internal/datasource/range_datasource.py @@ -36,6 +36,9 @@ def get_read_tasks( self, parallelism: int, ) -> List[ReadTask]: + if self._n == 0: + return [] + read_tasks: List[ReadTask] = [] n = self._n block_format = self._block_format @@ -45,8 +48,10 @@ def get_read_tasks( # context if it was overridden. Set target max block size during # optimizer stage to fix this. ctx = DataContext.get_current() - if self._n == 0: - target_rows_per_block = 0 + if ctx.target_max_block_size is None: + # If target_max_block_size is ``None``, treat it as unlimited and + # avoid further splitting. + target_rows_per_block = n # whole block in one shot else: row_size_bytes = self.estimate_inmemory_data_size() // self._n row_size_bytes = max(row_size_bytes, 1) diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index ff896ae99acd..90a7aaf1905d 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -582,7 +582,11 @@ def obj_store_mem_max_pending_output_per_task(self) -> Optional[float]: return None bytes_per_output = self.average_bytes_per_output + # If we don’t have a sample yet and the limit is “unlimited”, we can’t + # estimate – just bail out. if bytes_per_output is None: + if context.target_max_block_size is None: + return None bytes_per_output = context.target_max_block_size num_pending_outputs = context._max_num_blocks_in_streaming_gen_buffer diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index 92724a3aa58f..7de458c239b1 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -318,9 +318,12 @@ def target_max_block_size(self) -> Optional[int]: return self._output_block_size_option.target_max_block_size @property - def actual_target_max_block_size(self) -> int: + def actual_target_max_block_size(self) -> Optional[int]: """ The actual target max block size output by this operator. + Returns: + `None` if the target max block size is not set, otherwise the target max block size. + `None` means the block size is infinite. """ target_max_block_size = self.target_max_block_size if target_max_block_size is None: diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 9c0f4c834d8d..07fa6c3d06ee 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -396,7 +396,9 @@ def min_max_resource_requirements( memory=memory_per_actor * min_actors, # To ensure that all actors are utilized, reserve enough resource budget # to launch one task for each worker. - object_store_memory=self._metrics.obj_store_mem_max_pending_output_per_task + object_store_memory=( + self._metrics.obj_store_mem_max_pending_output_per_task or 0 + ) * min_actors, ) diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 750b743647ac..4dd82a642f40 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -942,15 +942,20 @@ def _get_default_aggregator_ray_remote_args( assert num_partitions >= num_aggregators assert partition_size_hint is None or partition_size_hint > 0 - aggregator_total_memory_required = self._estimate_aggregator_memory_allocation( - num_aggregators=num_aggregators, - num_partitions=num_partitions, - # NOTE: If no partition size hint is provided we simply assume target - # max block size specified as the best partition size estimate - partition_byte_size_estimate=( - partition_size_hint or self.data_context.target_max_block_size - ), - ) + aggregator_total_memory_required = 0 + if ( + self.data_context.target_max_block_size is not None + or partition_size_hint is not None + ): + aggregator_total_memory_required = self._estimate_aggregator_memory_allocation( + num_aggregators=num_aggregators, + num_partitions=num_partitions, + # NOTE: If no partition size hint is provided we simply assume target + # max block size specified as the best partition size estimate + partition_byte_size_estimate=( + partition_size_hint or self.data_context.target_max_block_size + ), + ) # Since aggregators can handle multiple individual partitions, # CPU allocation is proportionately scaled with the number of partitions diff --git a/python/ray/data/_internal/execution/operators/map_transformer.py b/python/ray/data/_internal/execution/operators/map_transformer.py index 135965292af7..db3e5fc5353e 100644 --- a/python/ray/data/_internal/execution/operators/map_transformer.py +++ b/python/ray/data/_internal/execution/operators/map_transformer.py @@ -89,8 +89,7 @@ def category(self) -> MapTransformFnCategory: def output_block_size_option(self): return self._output_block_size_option - def set_target_max_block_size(self, target_max_block_size: int): - assert target_max_block_size is not None + def set_target_max_block_size(self, target_max_block_size: Optional[int]): self._output_block_size_option = OutputBlockSizeOption( target_max_block_size=target_max_block_size ) @@ -220,9 +219,6 @@ def apply_transform( ctx: TaskContext, ) -> Iterable[Block]: """Apply the transform functions to the input blocks.""" - assert ( - self.target_max_block_size is not None - ), "target_max_block_size must be set before running" for transform_fn in self._transform_fns: if not transform_fn.output_block_size_option: transform_fn.set_target_max_block_size(self.target_max_block_size) diff --git a/python/ray/data/_internal/logical/rules/set_read_parallelism.py b/python/ray/data/_internal/logical/rules/set_read_parallelism.py index 0f9bb1b56ada..faf88a682f8e 100644 --- a/python/ray/data/_internal/logical/rules/set_read_parallelism.py +++ b/python/ray/data/_internal/logical/rules/set_read_parallelism.py @@ -18,9 +18,11 @@ def compute_additional_split_factor( datasource_or_legacy_reader: Union[Datasource, Reader], parallelism: int, mem_size: int, - target_max_block_size: int, + target_max_block_size: Optional[int], cur_additional_split_factor: Optional[int] = None, ) -> Tuple[int, str, int, Optional[int]]: + """Returns parallelism to use and the min safe parallelism to avoid OOMs.""" + ctx = DataContext.get_current() detected_parallelism, reason, _ = _autodetect_parallelism( parallelism, target_max_block_size, ctx, datasource_or_legacy_reader, mem_size @@ -34,7 +36,13 @@ def compute_additional_split_factor( logger.debug( f"Expected in-memory size {mem_size}," f" block size {expected_block_size}" ) - size_based_splits = round(max(1, expected_block_size / target_max_block_size)) + if target_max_block_size is None: + # Unlimited block size -> no extra splits + size_based_splits = 1 + else: + size_based_splits = round( + max(1, expected_block_size / target_max_block_size) + ) else: size_based_splits = 1 if cur_additional_split_factor: diff --git a/python/ray/data/_internal/output_buffer.py b/python/ray/data/_internal/output_buffer.py index 4224cb1e6dfc..20265ebd35b2 100644 --- a/python/ray/data/_internal/output_buffer.py +++ b/python/ray/data/_internal/output_buffer.py @@ -11,11 +11,6 @@ class OutputBlockSizeOption: target_max_block_size: Optional[int] = None target_num_rows_per_block: Optional[int] = None - def __post_init__(self) -> None: - assert (self.target_max_block_size is None) != ( - self.target_num_rows_per_block is None - ), "Exactly one of target_max_block_size or target_num_rows_per_block must be set." - class BlockOutputBuffer: """Generates output blocks of a given size or number of rows given a stream of diff --git a/python/ray/data/_internal/util.py b/python/ray/data/_internal/util.py index 80a929d9edf3..d5220441f9f7 100644 --- a/python/ray/data/_internal/util.py +++ b/python/ray/data/_internal/util.py @@ -158,7 +158,7 @@ def _check_pyarrow_version(): def _autodetect_parallelism( parallelism: int, - target_max_block_size: int, + target_max_block_size: Optional[int], ctx: DataContext, datasource_or_legacy_reader: Optional[Union["Datasource", "Reader"]] = None, mem_size: Optional[int] = None, @@ -201,9 +201,14 @@ def _autodetect_parallelism( """ min_safe_parallelism = 1 max_reasonable_parallelism = sys.maxsize + if mem_size is None and datasource_or_legacy_reader: mem_size = datasource_or_legacy_reader.estimate_inmemory_data_size() - if mem_size is not None and not np.isnan(mem_size): + if ( + mem_size is not None + and not np.isnan(mem_size) + and target_max_block_size is not None + ): min_safe_parallelism = max(1, int(mem_size / target_max_block_size)) max_reasonable_parallelism = max(1, int(mem_size / ctx.target_min_block_size)) @@ -242,13 +247,18 @@ def _autodetect_parallelism( reason = ( "output blocks of size at least " "DataContext.get_current().target_min_block_size=" - f"{ctx.target_min_block_size / (1024 * 1024)}MiB" + f"{ctx.target_min_block_size / MiB} MiB" ) elif parallelism == min_safe_parallelism: + # Handle ``None`` (unlimited) gracefully in the log message. + if ctx.target_max_block_size is None: + display_val = "unlimited" + else: + display_val = f"{ctx.target_max_block_size / MiB} MiB" reason = ( "output blocks of size at most " "DataContext.get_current().target_max_block_size=" - f"{ctx.target_max_block_size / (1024 * 1024)}MiB" + f"{display_val}" ) else: reason = ( diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 0a693c1e89fa..f7721f39eaa4 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -301,7 +301,7 @@ class DataContext: Args: target_max_block_size: The max target block size in bytes for reads and - transformations. + transformations. If `None`, this means the block size is infinite. target_shuffle_max_block_size: The max target block size in bytes for shuffle ops like ``random_shuffle``, ``sort``, and ``repartition``. target_min_block_size: Ray Data avoids creating blocks smaller than this @@ -398,7 +398,8 @@ class DataContext: map tasks won't record memory stats. """ - target_max_block_size: int = DEFAULT_TARGET_MAX_BLOCK_SIZE + # `None` means the block size is infinite. + target_max_block_size: Optional[int] = DEFAULT_TARGET_MAX_BLOCK_SIZE target_shuffle_max_block_size: int = DEFAULT_SHUFFLE_TARGET_MAX_BLOCK_SIZE target_min_block_size: int = DEFAULT_TARGET_MIN_BLOCK_SIZE streaming_read_buffer_size: int = DEFAULT_STREAMING_READ_BUFFER_SIZE diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index c783b30ea4fc..53145fa06e98 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -18,7 +18,7 @@ from ray.air.util.tensor_extensions.arrow import ArrowTensorArray from ray.data import Schema from ray.data.block import BlockExecStats, BlockMetadata -from ray.data.context import DataContext, ShuffleStrategy +from ray.data.context import DEFAULT_TARGET_MAX_BLOCK_SIZE, DataContext, ShuffleStrategy from ray.data.tests.mock_server import * # noqa # Trigger pytest hook to automatically zip test cluster logs to archive dir on failure @@ -360,6 +360,26 @@ def target_max_block_size(request): ctx.target_max_block_size = original +@pytest.fixture(params=[None, DEFAULT_TARGET_MAX_BLOCK_SIZE]) +def target_max_block_size_infinite_or_default(request): + """Fixture that sets target_max_block_size to None/DEFAULT_TARGET_MAX_BLOCK_SIZE and resets after test finishes.""" + ctx = ray.data.context.DataContext.get_current() + original = ctx.target_max_block_size + ctx.target_max_block_size = request.param + yield + ctx.target_max_block_size = original + + +@pytest.fixture(params=[None]) +def target_max_block_size_infinite(request): + """Fixture that sets target_max_block_size to None and resets after test finishes.""" + ctx = ray.data.context.DataContext.get_current() + original = ctx.target_max_block_size + ctx.target_max_block_size = request.param + yield + ctx.target_max_block_size = original + + # ===== Pandas dataset formats ===== @pytest.fixture(scope="function") def ds_pandas_single_column_format(ray_start_regular_shared): diff --git a/python/ray/data/tests/test_block_sizing.py b/python/ray/data/tests/test_block_sizing.py index 62287af00706..bf6ebb45eda5 100644 --- a/python/ray/data/tests/test_block_sizing.py +++ b/python/ray/data/tests/test_block_sizing.py @@ -252,6 +252,38 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): ) +def test_target_max_block_size_infinite_or_default_disables_splitting_globally( + shutdown_only, restore_data_context +): + """Test that setting target_max_block_size to None disables block splitting globally.""" + ray.init(num_cpus=2) + + # Create a large dataset that would normally trigger block splitting + large_data_size = 10_000_000 # 10MB worth of data + + # First, test with normal target_max_block_size (should split into multiple blocks) + ctx = DataContext.get_current() + ctx.target_max_block_size = 1_000_000 # 1MB - much smaller than data + + ds_with_limit = ray.data.range(large_data_size, override_num_blocks=1).materialize() + blocks_with_limit = ds_with_limit._plan.initial_num_blocks() + + # Now test with target_max_block_size = None (should not split) + ctx.target_max_block_size = None # Disable block size limit + + ds_unlimited = ( + ray.data.range(large_data_size, override_num_blocks=1) + .map(lambda x: x) + .materialize() + ) + blocks_unlimited = ds_unlimited._plan.initial_num_blocks() + + # Verify that unlimited creates fewer blocks (no splitting) + assert blocks_unlimited <= blocks_with_limit + # With target_max_block_size=None, it should maintain the original block structure + assert blocks_unlimited == 1 + + if __name__ == "__main__": import sys diff --git a/python/ray/data/tests/test_csv.py b/python/ray/data/tests/test_csv.py index 8c88b4fa44b2..93ef35261e8f 100644 --- a/python/ray/data/tests/test_csv.py +++ b/python/ray/data/tests/test_csv.py @@ -67,7 +67,13 @@ def test_csv_read_partitioning(ray_start_regular_shared, tmp_path): ), ], ) -def test_csv_read(ray_start_regular_shared, fs, data_path, endpoint_url): +def test_csv_read( + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, +): if endpoint_url is None: storage_options = {} else: @@ -103,7 +109,10 @@ def test_csv_read(ray_start_regular_shared, fs, data_path, endpoint_url): path3 = os.path.join(data_path, "test3.csv") df3.to_csv(path3, index=False, storage_options=storage_options) ds = ray.data.read_csv( - [path1, path2, path3], override_num_blocks=2, filesystem=fs, partitioning=None + [path1, path2, path3], + override_num_blocks=2, + filesystem=fs, + partitioning=None, ) df = pd.concat([df1, df2, df3], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) @@ -215,29 +224,6 @@ def test_csv_read(ray_start_regular_shared, fs, data_path, endpoint_url): fs.delete_dir(_unwrap_protocol(path)) -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_csv_ignore_missing_paths( - ray_start_regular_shared, local_path, ignore_missing_paths -): - # Single file. - df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(local_path, "test1.csv") - df1.to_csv(path1, index=False) - - paths = [ - path1, - "missing.csv", - ] - - if ignore_missing_paths: - ds = ray.data.read_csv(paths, ignore_missing_paths=ignore_missing_paths) - assert ds.input_files() == [path1] - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_csv(paths, ignore_missing_paths=ignore_missing_paths) - ds.materialize() - - @pytest.mark.parametrize( "fs,data_path,endpoint_url", [ @@ -651,7 +637,9 @@ def keep_expected_partitions(kv_dict): assert_base_partitioned_ds(ds, num_input_files=6) -def test_csv_write(ray_start_regular_shared, tmp_path): +def test_csv_write( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): input_df = pd.DataFrame({"id": [0]}) ds = ray.data.from_blocks([input_df]) @@ -667,7 +655,12 @@ def test_csv_write(ray_start_regular_shared, tmp_path): @pytest.mark.parametrize("override_num_blocks", [None, 2]) -def test_csv_roundtrip(ray_start_regular_shared, tmp_path, override_num_blocks): +def test_csv_roundtrip( + ray_start_regular_shared, + tmp_path, + override_num_blocks, + target_max_block_size_infinite_or_default, +): df = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) ds = ray.data.from_pandas([df], override_num_blocks=override_num_blocks) @@ -767,7 +760,9 @@ def test_csv_read_with_column_type_specified(ray_start_regular_shared, tmp_path) Version(pa.__version__) < Version("7.0.0"), reason="invalid_row_handler was added in pyarrow 7.0.0", ) -def test_csv_invalid_file_handler(ray_start_regular_shared, tmp_path): +def test_csv_invalid_file_handler( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): from pyarrow import csv invalid_txt = "f1,f2\n2,3\nx\n4,5" @@ -784,7 +779,12 @@ def test_csv_invalid_file_handler(ray_start_regular_shared, tmp_path): @pytest.mark.parametrize("min_rows_per_file", [5, 10, 50]) -def test_write_min_rows_per_file(tmp_path, ray_start_regular_shared, min_rows_per_file): +def test_write_min_rows_per_file( + tmp_path, + ray_start_regular_shared, + min_rows_per_file, + target_max_block_size_infinite_or_default, +): ray.data.range(100, override_num_blocks=20).write_csv( tmp_path, min_rows_per_file=min_rows_per_file ) diff --git a/python/ray/data/tests/test_groupby_e2e.py b/python/ray/data/tests/test_groupby_e2e.py index 566426086911..06559e979444 100644 --- a/python/ray/data/tests/test_groupby_e2e.py +++ b/python/ray/data/tests/test_groupby_e2e.py @@ -48,7 +48,9 @@ def _sort_series_of_lists_elements(s: pd.Series): def test_grouped_dataset_repr( - ray_start_regular_shared_2_cpus, disable_fallback_to_object_extension + ray_start_regular_shared_2_cpus, + disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ds = ray.data.from_items([{"key": "spam"}, {"key": "ham"}, {"key": "spam"}]) assert repr(ds.groupby("key")) == f"GroupedData(dataset={ds!r}, key='key')" @@ -58,6 +60,7 @@ def test_groupby_arrow( ray_start_regular_shared_2_cpus, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): # Test empty dataset. agg_ds = ray.data.range(10).filter(lambda r: r["id"] > 10).groupby("value").count() @@ -68,6 +71,7 @@ def test_groupby_none( ray_start_regular_shared_2_cpus, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ds = ray.data.range(10) assert ds.groupby(None).min().take_all() == [{"min(id)": 0}] @@ -75,7 +79,9 @@ def test_groupby_none( def test_groupby_errors( - ray_start_regular_shared_2_cpus, disable_fallback_to_object_extension + ray_start_regular_shared_2_cpus, + disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ds = ray.data.range(100) ds.groupby(None).count().show() # OK @@ -86,7 +92,10 @@ def test_groupby_errors( def test_map_groups_with_gpus( - shutdown_only, configure_shuffle_method, disable_fallback_to_object_extension + shutdown_only, + configure_shuffle_method, + disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ray.shutdown() ray.init(num_gpus=1) @@ -102,6 +111,7 @@ def test_map_groups_with_actors( ray_start_regular_shared_2_cpus, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): class Identity: def __call__(self, batch): @@ -208,6 +218,7 @@ def test_groupby_nans( ds_format, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ds = ray.data.from_items( [ @@ -237,6 +248,7 @@ def test_groupby_tabular_count( num_parts, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): # Test built-in count aggregation seed = int(time.time()) @@ -781,6 +793,7 @@ def test_groupby_map_groups_perf( ray_start_regular_shared_2_cpus, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): data_list = [x % 100 for x in range(5000000)] ds = ray.data.from_pandas(pd.DataFrame({"A": data_list})) @@ -934,7 +947,9 @@ def identity(batch): def test_groupby_map_groups_ray_remote_args_fn( - ray_start_regular_shared_2_cpus, configure_shuffle_method + ray_start_regular_shared_2_cpus, + configure_shuffle_method, + target_max_block_size_infinite_or_default, ): ds = ray.data.from_items( [ @@ -962,6 +977,7 @@ def test_groupby_map_groups_extra_args( ray_start_regular_shared_2_cpus, configure_shuffle_method, disable_fallback_to_object_extension, + target_max_block_size_infinite_or_default, ): ds = ray.data.from_items( [ diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index 92c9e9f40d32..891f88ca46ea 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -32,7 +32,9 @@ from ray.tests.conftest import * # noqa -def test_json_read_partitioning(ray_start_regular_shared, tmp_path): +def test_json_read_partitioning( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): path = os.path.join(tmp_path, "country=us") os.mkdir(path) with open(os.path.join(path, "file1.json"), "w") as file: @@ -56,7 +58,13 @@ def test_json_read_partitioning(ray_start_regular_shared, tmp_path): (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), ], ) -def test_json_read(ray_start_regular_shared, fs, data_path, endpoint_url): +def test_json_read( + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, +): if endpoint_url is None: storage_options = {} else: @@ -205,7 +213,10 @@ def test_json_read(ray_start_regular_shared, fs, data_path, endpoint_url): @pytest.mark.parametrize("ignore_missing_paths", [True, False]) def test_read_json_ignore_missing_paths( - ray_start_regular_shared, local_path, ignore_missing_paths + ray_start_regular_shared, + local_path, + ignore_missing_paths, + target_max_block_size_infinite_or_default, ): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(local_path, "test1.json") @@ -225,7 +236,9 @@ def test_read_json_ignore_missing_paths( ds.materialize() -def test_zipped_json_read(ray_start_regular_shared, tmp_path): +def test_zipped_json_read( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): # Single file. df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(tmp_path, "test1.json.gz") @@ -263,7 +276,9 @@ def test_zipped_json_read(ray_start_regular_shared, tmp_path): shutil.rmtree(dir_path) -def test_read_json_fallback_from_pyarrow_failure(ray_start_regular_shared, local_path): +def test_read_json_fallback_from_pyarrow_failure( + ray_start_regular_shared, local_path, target_max_block_size_infinite_or_default +): # Try to read this with read_json() to trigger fallback logic # to read bytes with json.load(). data = [{"one": [1]}, {"one": [1, 2]}] @@ -296,6 +311,7 @@ def test_json_read_meta_provider( fs, data_path, endpoint_url, + target_max_block_size_infinite_or_default, ): if endpoint_url is None: storage_options = {} @@ -337,6 +353,7 @@ def test_json_read_with_read_options( fs, data_path, endpoint_url, + target_max_block_size_infinite_or_default, ): # Arrow's JSON ReadOptions isn't serializable in pyarrow < 8.0.0, so this test # covers our custom ReadOptions serializer. @@ -376,6 +393,7 @@ def test_json_read_with_parse_options( fs, data_path, endpoint_url, + target_max_block_size_infinite_or_default, ): # Arrow's JSON ParseOptions isn't serializable in pyarrow < 8.0.0, so this test # covers our custom ParseOptions serializer, similar to ReadOptions in above test. @@ -423,6 +441,7 @@ def test_json_read_partitioned_with_filter( endpoint_url, write_base_partitioned_df, assert_base_partitioned_ds, + target_max_block_size_infinite_or_default, ): def df_to_json(dataframe, path, **kwargs): dataframe.to_json(path, **kwargs) @@ -473,7 +492,12 @@ def skip_unpartitioned(kv_dict): @pytest.mark.parametrize("override_num_blocks", [None, 1, 3]) -def test_jsonl_lists(ray_start_regular_shared, tmp_path, override_num_blocks): +def test_jsonl_lists( + ray_start_regular_shared, + tmp_path, + override_num_blocks, + target_max_block_size_infinite_or_default, +): """Test JSONL with mixed types and schemas.""" data = [ ["ray", "rocks", "hello"], @@ -495,7 +519,9 @@ def test_jsonl_lists(ray_start_regular_shared, tmp_path, override_num_blocks): assert result[2] == {"0": "rocking", "1": "with", "2": "ray"} -def test_jsonl_mixed_types(ray_start_regular_shared, tmp_path): +def test_jsonl_mixed_types( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): """Test JSONL with mixed types and schemas.""" data = [ {"a": 1, "b": {"c": 2}}, # Nested dict @@ -517,7 +543,9 @@ def test_jsonl_mixed_types(ray_start_regular_shared, tmp_path): assert result[2] == data[2] -def test_json_write(ray_start_regular_shared, tmp_path): +def test_json_write( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): input_df = pd.DataFrame({"id": [0]}) ds = ray.data.from_blocks([input_df]) @@ -534,7 +562,12 @@ def test_json_write(ray_start_regular_shared, tmp_path): @pytest.mark.parametrize("override_num_blocks", [None, 2]) -def test_json_roundtrip(ray_start_regular_shared, tmp_path, override_num_blocks): +def test_json_roundtrip( + ray_start_regular_shared, + tmp_path, + override_num_blocks, + target_max_block_size_infinite_or_default, +): df = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) ds = ray.data.from_pandas([df], override_num_blocks=override_num_blocks) @@ -556,7 +589,11 @@ def test_json_roundtrip(ray_start_regular_shared, tmp_path, override_num_blocks) ], ) def test_json_read_small_file_unit_block_size( - ray_start_regular_shared, fs, data_path, endpoint_url + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, ): """Test reading a small JSON file with unit block_size.""" if endpoint_url is None: @@ -587,7 +624,11 @@ def test_json_read_small_file_unit_block_size( ], ) def test_json_read_file_larger_than_block_size( - ray_start_regular_shared, fs, data_path, endpoint_url + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, ): """Test reading a JSON file larger than the block size.""" if endpoint_url is None: @@ -628,7 +669,11 @@ def test_json_read_file_larger_than_block_size( ], ) def test_json_read_negative_block_size_fallback( - ray_start_regular_shared, fs, data_path, endpoint_url + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, ): """Test reading JSON with negative block_size triggers fallback to json.load().""" if endpoint_url is None: @@ -657,7 +702,11 @@ def test_json_read_negative_block_size_fallback( ], ) def test_json_read_zero_block_size_failure( - ray_start_regular_shared, fs, data_path, endpoint_url + ray_start_regular_shared, + fs, + data_path, + endpoint_url, + target_max_block_size_infinite_or_default, ): """Test reading JSON with zero block_size fails in both arrow and fallback.""" if endpoint_url is None: @@ -679,7 +728,12 @@ def test_json_read_zero_block_size_failure( @pytest.mark.parametrize("min_rows_per_file", [5, 10, 50]) -def test_write_min_rows_per_file(tmp_path, ray_start_regular_shared, min_rows_per_file): +def test_write_min_rows_per_file( + tmp_path, + ray_start_regular_shared, + min_rows_per_file, + target_max_block_size_infinite_or_default, +): ray.data.range(100, override_num_blocks=20).write_json( tmp_path, min_rows_per_file=min_rows_per_file ) @@ -690,7 +744,9 @@ def test_write_min_rows_per_file(tmp_path, ray_start_regular_shared, min_rows_pe assert num_rows_written == min_rows_per_file -def test_mixed_gzipped_json_files(ray_start_regular_shared, tmp_path): +def test_mixed_gzipped_json_files( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): # Create a non-empty gzipped JSON file non_empty_file_path = os.path.join(tmp_path, "non_empty.json.gz") data = [{"col1": "value1", "col2": "value2", "col3": "value3"}] @@ -723,7 +779,9 @@ def test_mixed_gzipped_json_files(ray_start_regular_shared, tmp_path): ), f"Retrieved data {retrieved_data} does not match expected {data[0]}." -def test_json_with_http_path_parallelization(ray_start_regular_shared, httpserver): +def test_json_with_http_path_parallelization( + ray_start_regular_shared, httpserver, target_max_block_size_infinite_or_default +): num_files = FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD urls = [] for i in range(num_files): @@ -745,7 +803,9 @@ class TestPandasJSONDatasource: [{"a": []}, {"a": [1]}, {"a": [1, 2, 3]}], ids=["empty", "single", "multiple"], ) - def test_read_stream(self, data, tmp_path): + def test_read_stream( + self, data, tmp_path, target_max_block_size_infinite_or_default + ): # Setup test file. df = pd.DataFrame(data) path = os.path.join(tmp_path, "test.json") @@ -767,7 +827,9 @@ def test_read_stream(self, data, tmp_path): # Verify. assert rows_same(block, df) - def test_read_stream_with_target_output_size_bytes(self, tmp_path): + def test_read_stream_with_target_output_size_bytes( + self, tmp_path, target_max_block_size_infinite_or_default + ): # Setup test file. It contains 16 lines, each line is 8 MiB. df = pd.DataFrame({"data": ["a" * 8 * 1024 * 1024] * 16}) path = os.path.join(tmp_path, "test.json") diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 896cd78de907..dd9763a369ef 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -45,7 +45,7 @@ def test_specifying_num_cpus_and_num_gpus_logs_warning( - shutdown_only, propagate_logs, caplog + shutdown_only, propagate_logs, caplog, target_max_block_size_infinite_or_default ): ray.init(num_cpus=1, num_gpus=1) @@ -58,7 +58,7 @@ def test_specifying_num_cpus_and_num_gpus_logs_warning( ), caplog.text -def test_basic_actors(shutdown_only): +def test_basic_actors(shutdown_only, target_max_block_size_infinite_or_default): ray.init(num_cpus=6) n = 5 ds = ray.data.range(n) @@ -127,7 +127,7 @@ def _all_actors_dead(): wait_for_condition(_all_actors_dead) -def test_callable_classes(shutdown_only): +def test_callable_classes(shutdown_only, target_max_block_size_infinite_or_default): ray.init(num_cpus=2) ds = ray.data.range(10, override_num_blocks=10) @@ -254,7 +254,9 @@ def __call__(self, x, arg, kwarg): assert sorted(extract_values("id", result)) == list(range(10)), result -def test_concurrent_callable_classes(shutdown_only): +def test_concurrent_callable_classes( + shutdown_only, target_max_block_size_infinite_or_default +): """Test that concurrenct actor pool runs user UDF in a separate thread.""" ray.init(num_cpus=2) ds = ray.data.range(10, override_num_blocks=10) @@ -280,7 +282,7 @@ def __call__(self, x): ds.map_batches(ErrorFn, concurrency=1, max_concurrency=2).take_all() -def test_transform_failure(shutdown_only): +def test_transform_failure(shutdown_only, target_max_block_size_infinite_or_default): ray.init(num_cpus=2) ds = ray.data.from_items([0, 10], override_num_blocks=2) @@ -293,7 +295,9 @@ def mapper(x): ds.map(mapper).materialize() -def test_actor_task_failure(shutdown_only, restore_data_context): +def test_actor_task_failure( + shutdown_only, restore_data_context, target_max_block_size_infinite_or_default +): ray.init(num_cpus=2) ctx = DataContext.get_current() @@ -314,7 +318,9 @@ def __call__(self, x): ds.map_batches(Mapper, concurrency=1).materialize() -def test_gpu_workers_not_reused(shutdown_only): +def test_gpu_workers_not_reused( + shutdown_only, target_max_block_size_infinite_or_default +): """By default, in Ray Core if `num_gpus` is specified workers will not be reused for tasks invocation. @@ -333,7 +339,7 @@ def _get_worker_id(_): assert len(unique_worker_ids) == total_blocks -def test_concurrency(shutdown_only): +def test_concurrency(shutdown_only, target_max_block_size_infinite_or_default): ray.init(num_cpus=6) ds = ray.data.range(10, override_num_blocks=10) @@ -371,7 +377,9 @@ def __call__(self, x): @pytest.mark.parametrize("udf_kind", ["gen", "func"]) -def test_flat_map(ray_start_regular_shared, udf_kind): +def test_flat_map( + ray_start_regular_shared, udf_kind, target_max_block_size_infinite_or_default +): ds = ray.data.range(3) if udf_kind == "gen": @@ -468,7 +476,9 @@ def process_timestamp_data_batch_pandas(batch: pd.DataFrame) -> pd.DataFrame: ) ], ) -def test_map_batches_timestamp_nanosecs(df, expected_df, ray_start_regular_shared): +def test_map_batches_timestamp_nanosecs( + df, expected_df, ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Verify handling timestamp with nanosecs in map_batches""" ray_data = ray.data.from_pandas(df) @@ -527,7 +537,9 @@ def test_map_batches_timestamp_nanosecs(df, expected_df, ray_start_regular_share ) ], ) -def test_map_timestamp_nanosecs(df, expected_df, ray_start_regular_shared): +def test_map_timestamp_nanosecs( + df, expected_df, ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Verify handling timestamp with nanosecs in map""" ray_data = ray.data.from_pandas(df) result = ray_data.map(process_timestamp_data) @@ -630,7 +642,12 @@ def test_add_column(ray_start_regular_shared): (["foo", "bar"], ["foo", "bar"]), ], ) -def test_rename_columns(ray_start_regular_shared, names, expected_schema): +def test_rename_columns( + ray_start_regular_shared, + names, + expected_schema, + target_max_block_size_infinite_or_default, +): ds = ray.data.from_items([{"spam": 0, "ham": 0}]) renamed_ds = ds.rename_columns(names) @@ -639,7 +656,9 @@ def test_rename_columns(ray_start_regular_shared, names, expected_schema): assert sorted(renamed_schema_names) == sorted(expected_schema) -def test_default_batch_size_emits_deprecation_warning(ray_start_regular_shared): +def test_default_batch_size_emits_deprecation_warning( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): with pytest.warns( DeprecationWarning, match="Passing 'default' to `map_batches` is deprecated and won't be " @@ -705,7 +724,11 @@ def test_default_batch_size_emits_deprecation_warning(ray_start_regular_shared): ], ) def test_rename_columns_error_cases( - ray_start_regular_shared, names, expected_exception, expected_message + ray_start_regular_shared, + names, + expected_exception, + expected_message, + target_max_block_size_infinite_or_default, ): # Simulate a dataset with two columns: "spam" and "ham" ds = ray.data.from_items([{"spam": 0, "ham": 0}]) @@ -718,7 +741,9 @@ def test_rename_columns_error_cases( assert str(exc_info.value) == expected_message -def test_filter_mutex(ray_start_regular_shared, tmp_path): +def test_filter_mutex( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): """Test filter op.""" # Generate sample data @@ -750,7 +775,9 @@ def test_filter_mutex(ray_start_regular_shared, tmp_path): parquet_ds.filter(fn="sepal.length > 5.0") -def test_filter_with_expressions(ray_start_regular_shared, tmp_path): +def test_filter_with_expressions( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): """Test filtering with expressions.""" # Generate sample data @@ -795,7 +822,9 @@ def test_filter_with_expressions(ray_start_regular_shared, tmp_path): ), "UDF-filtered data contains rows with 'sepal.length' <= 5.0" -def test_filter_with_invalid_expression(ray_start_regular_shared, tmp_path): +def test_filter_with_invalid_expression( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): """Test filtering with invalid expressions.""" # Generate sample data @@ -825,7 +854,9 @@ def test_filter_with_invalid_expression(ray_start_regular_shared, tmp_path): fake_column_ds.to_pandas() -def test_drop_columns(ray_start_regular_shared, tmp_path): +def test_drop_columns( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): df = pd.DataFrame({"col1": [1, 2, 3], "col2": [2, 3, 4], "col3": [3, 4, 5]}) ds1 = ray.data.from_pandas(df) ds1.write_parquet(str(tmp_path)) @@ -845,7 +876,9 @@ def test_drop_columns(ray_start_regular_shared, tmp_path): ds1.drop_columns(["col1", "col2", "col2"]) -def test_select_rename_columns(ray_start_regular_shared): +def test_select_rename_columns( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): ds = ray.data.range(1) def map_fn(row): @@ -868,7 +901,9 @@ def map_fn(row): assert result == [{"a": "b"}] -def test_select_columns(ray_start_regular_shared): +def test_select_columns( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): # Test pandas and arrow df = pd.DataFrame({"col1": [1, 2, 3], "col2": [2, 3, 4], "col3": [3, 4, 5]}) ds1 = ray.data.from_pandas(df) @@ -916,7 +951,11 @@ def test_select_columns(ray_start_regular_shared): ], ) def test_select_columns_validation( - ray_start_regular_shared, cols, expected_exception, expected_error + ray_start_regular_shared, + cols, + expected_exception, + expected_error, + target_max_block_size_infinite_or_default, ): df = pd.DataFrame({"col1": [1, 2, 3], "col2": [2, 3, 4], "col3": [3, 4, 5]}) ds1 = ray.data.from_pandas(df) @@ -925,7 +964,12 @@ def test_select_columns_validation( ds1.select_columns(cols=cols) -def test_map_batches_basic(ray_start_regular_shared, tmp_path, restore_data_context): +def test_map_batches_basic( + ray_start_regular_shared, + tmp_path, + restore_data_context, + target_max_block_size_infinite_or_default, +): ctx = DataContext.get_current() ctx.execution_options.preserve_order = True @@ -996,7 +1040,9 @@ def test_map_batches_basic(ray_start_regular_shared, tmp_path, restore_data_cont ).take() -def test_map_batches_extra_args(shutdown_only, tmp_path): +def test_map_batches_extra_args( + shutdown_only, tmp_path, target_max_block_size_infinite_or_default +): ray.shutdown() ray.init(num_cpus=3) @@ -1215,7 +1261,9 @@ def __call__(self, x): @pytest.mark.parametrize("method", [Dataset.map, Dataset.map_batches, Dataset.flat_map]) -def test_map_with_memory_resources(method, shutdown_only): +def test_map_with_memory_resources( + method, shutdown_only, target_max_block_size_infinite_or_default +): """Test that we can use memory resource to limit the concurrency.""" num_blocks = 50 memory_per_task = 100 * 1024**2 @@ -1259,7 +1307,9 @@ def map_fn(row_or_batch): assert actual_max_concurrency <= max_concurrency -def test_map_batches_generator(ray_start_regular_shared, tmp_path): +def test_map_batches_generator( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): # Set up. df = pd.DataFrame({"one": [1, 2, 3], "two": [2, 3, 4]}) table = pa.Table.from_pandas(df) @@ -1289,7 +1339,9 @@ def fail_generator(batch): ).take() -def test_map_batches_actors_preserves_order(shutdown_only): +def test_map_batches_actors_preserves_order( + shutdown_only, target_max_block_size_infinite_or_default +): class UDFClass: def __call__(self, x): return x @@ -1312,7 +1364,12 @@ def __call__(self, x): ], ) def test_map_batches_batch_mutation( - ray_start_regular_shared, num_rows, num_blocks, batch_size, restore_data_context + ray_start_regular_shared, + num_rows, + num_blocks, + batch_size, + restore_data_context, + target_max_block_size_infinite_or_default, ): ctx = DataContext.get_current() ctx.execution_options.preserve_order = True @@ -1343,7 +1400,11 @@ def mutate(df): ], ) def test_map_batches_batch_zero_copy( - ray_start_regular_shared, num_rows, num_blocks, batch_size + ray_start_regular_shared, + num_rows, + num_blocks, + batch_size, + target_max_block_size_infinite_or_default, ): # Test that batches are zero-copy read-only views when zero_copy_batch=True. def mutate(df): @@ -1383,7 +1444,10 @@ def mutate(df): @pytest.mark.parametrize("block_size,batch_size", BLOCK_BUNDLING_TEST_CASES) def test_map_batches_block_bundling_auto( - ray_start_regular_shared, block_size, batch_size + ray_start_regular_shared, + block_size, + batch_size, + target_max_block_size_infinite_or_default, ): # Ensure that we test at least 2 batches worth of blocks. num_blocks = max(10, 2 * batch_size // block_size) @@ -1422,7 +1486,11 @@ def test_map_batches_block_bundling_auto( ], ) def test_map_batches_block_bundling_skewed_manual( - ray_start_regular_shared, block_sizes, batch_size, expected_num_blocks + ray_start_regular_shared, + block_sizes, + batch_size, + expected_num_blocks, + target_max_block_size_infinite_or_default, ): num_blocks = len(block_sizes) ds = ray.data.from_blocks( @@ -1448,7 +1516,10 @@ def test_map_batches_block_bundling_skewed_manual( @pytest.mark.parametrize("block_sizes,batch_size", BLOCK_BUNDLING_SKEWED_TEST_CASES) def test_map_batches_block_bundling_skewed_auto( - ray_start_regular_shared, block_sizes, batch_size + ray_start_regular_shared, + block_sizes, + batch_size, + target_max_block_size_infinite_or_default, ): num_blocks = len(block_sizes) ds = ray.data.from_blocks( @@ -1472,14 +1543,18 @@ def test_map_batches_block_bundling_skewed_auto( assert ds._plan.initial_num_blocks() == num_out_blocks -def test_map_batches_preserve_empty_blocks(ray_start_regular_shared): +def test_map_batches_preserve_empty_blocks( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): ds = ray.data.range(10, override_num_blocks=10) ds = ds.map_batches(lambda x: []) ds = ds.map_batches(lambda x: x) assert ds._plan.initial_num_blocks() == 10, ds -def test_map_batches_combine_empty_blocks(ray_start_regular_shared): +def test_map_batches_combine_empty_blocks( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): xs = [x % 3 for x in list(range(100))] # ds1 has 1 block which contains 100 rows. @@ -1501,7 +1576,9 @@ def test_map_batches_combine_empty_blocks(ray_start_regular_shared): assert ds1.take_all() == ds2.take_all() -def test_map_batches_preserves_empty_block_format(ray_start_regular_shared): +def test_map_batches_preserves_empty_block_format( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Tests that the block format for empty blocks are not modified.""" def empty_pandas(batch): @@ -1524,7 +1601,9 @@ def empty_pandas(batch): assert type(ray.get(block_refs[0])) is pd.DataFrame -def test_map_with_objects_and_tensors(ray_start_regular_shared): +def test_map_with_objects_and_tensors( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): # Tests https://github.com/ray-project/ray/issues/45235 class UnsupportedType: @@ -1540,7 +1619,9 @@ def f(batch): ray.data.range(1).map_batches(f).materialize() -def test_random_sample(ray_start_regular_shared): +def test_random_sample( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): import math def ensure_sample_size_close(dataset, sample_percent=0.5): @@ -1567,7 +1648,9 @@ def ensure_sample_size_close(dataset, sample_percent=0.5): ensure_sample_size_close(ds1) -def test_random_sample_checks(ray_start_regular_shared): +def test_random_sample_checks( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): with pytest.raises(ValueError): # Cannot sample -1 ray.data.range(1).random_sample(-1) @@ -1579,7 +1662,9 @@ def test_random_sample_checks(ray_start_regular_shared): ray.data.range(1).random_sample(10) -def test_random_sample_fixed_seed_0001(ray_start_regular_shared): +def test_random_sample_fixed_seed_0001( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Tests random_sample() with a fixed seed. https://github.com/ray-project/ray/pull/51401 @@ -1607,7 +1692,13 @@ def test_random_sample_fixed_seed_0001(ray_start_regular_shared): @pytest.mark.parametrize("fraction", [0.1, 0.5, 1.0]) @pytest.mark.parametrize("seed", [1234, 4321, 0]) def test_random_sample_fixed_seed_0002( - ray_start_regular_shared, dtype, num_blocks, num_rows_per_block, fraction, seed + ray_start_regular_shared, + dtype, + num_blocks, + num_rows_per_block, + fraction, + seed, + target_max_block_size_infinite_or_default, ): """Checks if random_sample() gives the same result across different parameters. This is to test whether the result from random_sample() can be computed explicitly using numpy functions. @@ -1654,7 +1745,12 @@ def generate_data(n_per_block: int, n_blocks: int): assert set(ds.to_pandas()["item"].to_list()) == set(expected.tolist()) -def test_actor_udf_cleanup(ray_start_regular_shared, tmp_path, restore_data_context): +def test_actor_udf_cleanup( + ray_start_regular_shared, + tmp_path, + restore_data_context, + target_max_block_size_infinite_or_default, +): """Test that for the actor map operator, the UDF object is deleted properly.""" ctx = DataContext.get_current() ctx._enable_actor_pool_on_exit_hook = True @@ -1682,7 +1778,9 @@ def __del__(self): wait_for_condition(lambda: not os.path.exists(test_file)) -def test_warn_large_udfs(ray_start_regular_shared): +def test_warn_large_udfs( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): driver = """ import ray import numpy as np @@ -1707,7 +1805,9 @@ def __call__(self, batch): # NOTE: All tests above share a Ray cluster, while the tests below do not. These # tests should only be carefully reordered to retain this invariant! -def test_actor_pool_strategy_default_num_actors(shutdown_only): +def test_actor_pool_strategy_default_num_actors( + shutdown_only, target_max_block_size_infinite_or_default +): import time class UDFClass: @@ -1724,7 +1824,9 @@ def __call__(self, x): ).materialize() -def test_actor_pool_strategy_bundles_to_max_actors(shutdown_only): +def test_actor_pool_strategy_bundles_to_max_actors( + shutdown_only, target_max_block_size_infinite_or_default +): """Tests that blocks are bundled up to the specified max number of actors.""" class UDFClass: @@ -1748,7 +1850,9 @@ def __call__(self, x): assert "1 blocks" in ds.stats() -def test_nonserializable_map_batches(shutdown_only): +def test_nonserializable_map_batches( + shutdown_only, target_max_block_size_infinite_or_default +): import threading lock = threading.Lock() @@ -1760,7 +1864,9 @@ def test_nonserializable_map_batches(shutdown_only): @pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) -def test_async_map_batches(shutdown_only, udf_kind): +def test_async_map_batches( + shutdown_only, udf_kind, target_max_block_size_infinite_or_default +): ray.shutdown() ray.init(num_cpus=10) @@ -1805,7 +1911,9 @@ async def __call__(self, batch): @pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) -def test_async_flat_map(shutdown_only, udf_kind): +def test_async_flat_map( + shutdown_only, udf_kind, target_max_block_size_infinite_or_default +): class AsyncActor: def __init__(self): pass @@ -1858,7 +1966,9 @@ async def __call__(self, batch): assert "assert False" in str(exc_info.value) -def test_map_batches_async_generator_fast_yield(shutdown_only): +def test_map_batches_async_generator_fast_yield( + shutdown_only, target_max_block_size_infinite_or_default +): # Tests the case where the async generator yields immediately, # with a high number of tasks in flight, which results in # the internal queue being almost instantaneously filled. @@ -1912,7 +2022,9 @@ def mock_actor_async_ctx(self): loop.call_soon_threadsafe(loop.stop) _map_actor_ctx.udf_map_asyncio_thread.join() - def test_non_coroutine_function_assertion(self): + def test_non_coroutine_function_assertion( + self, target_max_block_size_infinite_or_default + ): """Test that non-coroutine function raises assertion error.""" def sync_fn(x): @@ -1925,7 +2037,9 @@ def sync_fn(x): sync_fn, validate_fn, max_concurrency=1 ) - def test_zero_max_concurrent_batches_assertion(self): + def test_zero_max_concurrent_batches_assertion( + self, target_max_block_size_infinite_or_default + ): """Test that zero max_concurrent_batches raises assertion error.""" async def async_fn(x): @@ -1938,7 +2052,9 @@ async def async_fn(x): async_fn, validate_fn, max_concurrency=0 ) - def test_empty_input(self, mock_actor_async_ctx): + def test_empty_input( + self, mock_actor_async_ctx, target_max_block_size_infinite_or_default + ): """Test with empty input iterator.""" async def async_fn(x): @@ -1955,7 +2071,9 @@ async def async_fn(x): validate_fn.assert_not_called() @pytest.mark.parametrize("udf_kind", ["coroutine", "async_gen"]) - def test_basic_async_processing(self, udf_kind, mock_actor_async_ctx): + def test_basic_async_processing( + self, udf_kind, mock_actor_async_ctx, target_max_block_size_infinite_or_default + ): """Test basic async processing with order preservation.""" if udf_kind == "async_gen": @@ -1996,6 +2114,7 @@ def test_basic_async_processing_with_iterator( self, result_len: int, mock_actor_async_ctx, + target_max_block_size_infinite_or_default, ): """Test UDF that yields multiple items per input.""" @@ -2018,7 +2137,12 @@ async def multi_yield_fn(x): assert list(transform_fn(input_seq, task_context)) == expected - def test_concurrency_limiting(self, mock_actor_async_ctx, restore_data_context): + def test_concurrency_limiting( + self, + mock_actor_async_ctx, + restore_data_context, + target_max_block_size_infinite_or_default, + ): """Test that concurrency is properly limited.""" max_concurrency = 10 @@ -2055,6 +2179,7 @@ def test_exception_in_udf( self, failure_kind: str, mock_actor_async_ctx, + target_max_block_size_infinite_or_default, ): """Test exception handling in UDF.""" @@ -2089,7 +2214,9 @@ def validate_fn(x): @pytest.mark.parametrize("fn_type", ["func", "class"]) def test_map_operator_warns_on_few_inputs( - fn_type: Literal["func", "class"], shutdown_only + fn_type: Literal["func", "class"], + shutdown_only, + target_max_block_size_infinite_or_default, ): if fn_type == "func": @@ -2110,7 +2237,9 @@ def __call__(self, row): ray.data.range(2, override_num_blocks=1).map(fn, concurrency=2).materialize() -def test_map_op_backpressure_configured_properly(): +def test_map_op_backpressure_configured_properly( + target_max_block_size_infinite_or_default, +): """This test asserts that configuration of the MapOperator generator's back-pressure is propagated appropriately to the Ray Core """ @@ -2167,7 +2296,7 @@ def _map_raising(r): get_pyarrow_version() < MIN_PYARROW_VERSION_TYPE_PROMOTION, reason="Requires pyarrow>=14 for unify_schemas in OneHotEncoder", ) -def test_map_names(): +def test_map_names(target_max_block_size_infinite_or_default): """To test different UDF format such that the operator has the correct representation. @@ -2238,7 +2367,12 @@ def func(x, y): ({"result": lit(10) / (col("id") + 1)}, 10.0), # 10 / (0 + 1) = 10.0 ], ) -def test_with_columns(ray_start_regular_shared, exprs, expected_value): +def test_with_columns( + ray_start_regular_shared, + exprs, + expected_value, + target_max_block_size_infinite_or_default, +): """Verify that `with_columns` works with various operations.""" ds = ray.data.range(5).with_columns(exprs) result = ds.take(1)[0] @@ -2250,7 +2384,9 @@ def test_with_columns(ray_start_regular_shared, exprs, expected_value): get_pyarrow_version() < parse_version("20.0.0"), reason="with_columns requires PyArrow >= 20.0.0", ) -def test_with_columns_nonexistent_column(ray_start_regular_shared): +def test_with_columns_nonexistent_column( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Verify that referencing a non-existent column with col() raises an exception.""" # Create a dataset with known column "id" ds = ray.data.range(5) @@ -2264,7 +2400,9 @@ def test_with_columns_nonexistent_column(ray_start_regular_shared): get_pyarrow_version() < parse_version("20.0.0"), reason="with_columns requires PyArrow >= 20.0.0", ) -def test_with_columns_multiple_expressions(ray_start_regular_shared): +def test_with_columns_multiple_expressions( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): """Verify that `with_columns` correctly handles multiple expressions at once.""" ds = ray.data.range(5) diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index 148523f7aef8..fd11259874e1 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -55,7 +55,9 @@ def test_write_parquet_supports_gzip(ray_start_regular_shared, tmp_path): assert pq.read_table(tmp_path).to_pydict() == {"id": [0]} -def test_write_parquet_partition_cols(ray_start_regular_shared, tmp_path): +def test_write_parquet_partition_cols( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): num_partitions = 10 rows_per_partition = 10 num_rows = num_partitions * rows_per_partition @@ -99,7 +101,9 @@ def test_write_parquet_partition_cols(ray_start_regular_shared, tmp_path): assert row1_dict["d"] == row2_dict["d"] -def test_include_paths(ray_start_regular_shared, tmp_path): +def test_include_paths( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): path = os.path.join(tmp_path, "test.txt") table = pa.Table.from_pydict({"animals": ["cat", "dog"]}) pq.write_table(table, path) @@ -190,7 +194,9 @@ def __call__(self, *args: Any, **kwds: Any) -> Any: ), ], ) -def test_parquet_read_basic(ray_start_regular_shared, fs, data_path): +def test_parquet_read_basic( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) table = pa.Table.from_pandas(df1) setup_data_path = _unwrap_protocol(data_path) @@ -385,7 +391,11 @@ def prefetch_file_metadata(self, fragments, **ray_remote_args): ], ) def test_parquet_read_random_shuffle( - ray_start_regular_shared, restore_data_context, fs, data_path + ray_start_regular_shared, + restore_data_context, + fs, + data_path, + target_max_block_size_infinite_or_default, ): # NOTE: set preserve_order to True to allow consistent output behavior. context = ray.data.DataContext.get_current() @@ -434,7 +444,9 @@ def test_parquet_read_random_shuffle( ), ], ) -def test_parquet_read_bulk(ray_start_regular_shared, fs, data_path): +def test_parquet_read_bulk( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) table = pa.Table.from_pandas(df1) setup_data_path = _unwrap_protocol(data_path) @@ -519,7 +531,9 @@ def test_parquet_read_bulk(ray_start_regular_shared, fs, data_path): ), ], ) -def test_parquet_read_bulk_meta_provider(ray_start_regular_shared, fs, data_path): +def test_parquet_read_bulk_meta_provider( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) table = pa.Table.from_pandas(df1) setup_data_path = _unwrap_protocol(data_path) @@ -573,7 +587,9 @@ def test_parquet_read_bulk_meta_provider(ray_start_regular_shared, fs, data_path ), ], ) -def test_parquet_read_partitioned(ray_start_regular_shared, fs, data_path): +def test_parquet_read_partitioned( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): df = pd.DataFrame( {"one": [1, 1, 1, 3, 3, 3], "two": ["a", "b", "c", "e", "f", "g"]} ) @@ -613,7 +629,9 @@ def test_parquet_read_partitioned(ray_start_regular_shared, fs, data_path): assert sorted(values) == ["1", "1", "1", "3", "3", "3"] -def test_parquet_read_partitioned_with_filter(ray_start_regular_shared, tmp_path): +def test_parquet_read_partitioned_with_filter( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): df = pd.DataFrame( {"one": [1, 1, 1, 3, 3, 3], "two": ["a", "a", "b", "b", "c", "c"]} ) @@ -657,7 +675,9 @@ def test_parquet_read_partitioned_with_filter(ray_start_regular_shared, tmp_path ), ], ) -def test_parquet_read_partitioned_with_columns(ray_start_regular_shared, fs, data_path): +def test_parquet_read_partitioned_with_columns( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): data = { "x": [0, 0, 1, 1, 2, 2], "y": ["a", "b", "a", "b", "a", "b"], @@ -702,7 +722,7 @@ def test_parquet_read_partitioned_with_columns(ray_start_regular_shared, fs, dat ], ) def test_parquet_read_partitioned_with_partition_filter( - ray_start_regular_shared, fs, data_path + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default ): # This test is to make sure when only one file remains # after partition filtering, Ray data can still parse the @@ -743,7 +763,9 @@ def test_parquet_read_partitioned_with_partition_filter( assert sorted(values) == [["0", "a", 0.1]] -def test_parquet_read_partitioned_explicit(ray_start_regular_shared, tmp_path): +def test_parquet_read_partitioned_explicit( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): df = pd.DataFrame( {"one": [1, 1, 1, 3, 3, 3], "two": ["a", "b", "c", "e", "f", "g"]} ) @@ -778,7 +800,9 @@ def test_parquet_read_partitioned_explicit(ray_start_regular_shared, tmp_path): ] -def test_parquet_read_with_udf(ray_start_regular_shared, tmp_path): +def test_parquet_read_with_udf( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): one_data = list(range(6)) df = pd.DataFrame({"one": one_data, "two": 2 * ["a"] + 2 * ["b"] + 2 * ["c"]}) table = pa.Table.from_pandas(df) @@ -839,7 +863,9 @@ def _block_udf(block: pa.Table): ), ], ) -def test_parquet_read_parallel_meta_fetch(ray_start_regular_shared, fs, data_path): +def test_parquet_read_parallel_meta_fetch( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): setup_data_path = _unwrap_protocol(data_path) num_dfs = PARALLELIZE_META_FETCH_THRESHOLD + 1 for idx in range(num_dfs): @@ -914,7 +940,7 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): assert ds._plan.initial_num_blocks() > 1 data_size = ds.size_bytes() assert ( - data_size >= 1_000_000 and data_size <= 2_000_000 + data_size >= 800_000 and data_size <= 2_000_000 ), "estimated data size is out of expected bound" data_size = ds.materialize().size_bytes() assert ( @@ -925,11 +951,11 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): text_output_path, meta_provider=ParquetMetadataProvider() ) assert ( - datasource._encoding_ratio >= 150 and datasource._encoding_ratio <= 300 + datasource._encoding_ratio >= 9 and datasource._encoding_ratio <= 300 ), "encoding ratio is out of expected bound" data_size = datasource.estimate_inmemory_data_size() assert ( - data_size >= 1_000_000 and data_size <= 2_000_000 + data_size >= 800_000 and data_size <= 2_000_000 ), "estimated data size is out of expected bound" assert ( data_size @@ -1053,7 +1079,11 @@ def test_parquet_write_append_save_mode(ray_start_regular_shared, local_path): ], ) def test_parquet_write_uuid_handling_with_custom_filename_provider( - ray_start_regular_shared, tmp_path, filename_template, should_raise_error + ray_start_regular_shared, + tmp_path, + filename_template, + should_raise_error, + target_max_block_size_infinite_or_default, ): """Test that write_parquet correctly handles UUID validation in filenames when using custom filename providers in append mode.""" import re @@ -1134,7 +1164,9 @@ def test_parquet_write_overwrite_save_mode(ray_start_regular_shared, local_path) assert on_disk_table.equals(overwritten_in_memory_table) -def test_parquet_file_extensions(ray_start_regular_shared, tmp_path): +def test_parquet_file_extensions( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): table = pa.table({"food": ["spam", "ham", "eggs"]}) pq.write_table(table, tmp_path / "table.parquet") # `spam` should be filtered out. @@ -1195,7 +1227,9 @@ def test_parquet_write_does_not_write_empty_blocks(ray_start_regular_shared, tmp ), ], ) -def test_parquet_roundtrip(ray_start_regular_shared, fs, data_path): +def test_parquet_roundtrip( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): path = os.path.join(data_path, "test_parquet_dir") if fs is None: os.mkdir(path) @@ -1223,7 +1257,9 @@ def test_parquet_roundtrip(ray_start_regular_shared, fs, data_path): fs.delete_dir(_unwrap_protocol(path)) -def test_parquet_read_empty_file(ray_start_regular_shared, tmp_path): +def test_parquet_read_empty_file( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): path = os.path.join(tmp_path, "data.parquet") table = pa.table({}) pq.write_table(table, path) @@ -1233,7 +1269,9 @@ def test_parquet_read_empty_file(ray_start_regular_shared, tmp_path): assert ds.take_all() == [] -def test_parquet_reader_batch_size(ray_start_regular_shared, tmp_path): +def test_parquet_reader_batch_size( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): path = os.path.join(tmp_path, "data.parquet") ray.data.range_tensor(1000, shape=(1000,)).write_parquet(path) ds = ray.data.read_parquet(path, batch_size=10) @@ -1255,7 +1293,9 @@ def test_parquet_datasource_names(ray_start_regular_shared, tmp_path): (lazy_fixture("local_fs"), lazy_fixture("local_path")), ], ) -def test_parquet_concurrency(ray_start_regular_shared, fs, data_path): +def test_parquet_concurrency( + ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default +): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) table = pa.Table.from_pandas(df1) setup_data_path = _unwrap_protocol(data_path) @@ -1344,25 +1384,33 @@ def get_node_id(): assert set(locations) == {node1_id, node2_id}, set(locations) -def test_parquet_bulk_columns(ray_start_regular_shared): +def test_parquet_bulk_columns( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): ds = ray.data.read_parquet_bulk("example://iris.parquet", columns=["variety"]) assert ds.columns() == ["variety"] @pytest.mark.parametrize("shuffle", [True, False, "file"]) -def test_invalid_shuffle_arg_raises_error(ray_start_regular_shared, shuffle): +def test_invalid_shuffle_arg_raises_error( + ray_start_regular_shared, shuffle, target_max_block_size_infinite_or_default +): with pytest.raises(ValueError): ray.data.read_parquet("example://iris.parquet", shuffle=shuffle) @pytest.mark.parametrize("shuffle", [None, "files"]) -def test_valid_shuffle_arg_does_not_raise_error(ray_start_regular_shared, shuffle): +def test_valid_shuffle_arg_does_not_raise_error( + ray_start_regular_shared, shuffle, target_max_block_size_infinite_or_default +): ray.data.read_parquet("example://iris.parquet", shuffle=shuffle) -def test_partitioning_in_dataset_kwargs_raises_error(ray_start_regular_shared): +def test_partitioning_in_dataset_kwargs_raises_error( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): with pytest.raises(ValueError): ray.data.read_parquet( "example://iris.parquet", dataset_kwargs=dict(partitioning="hive") @@ -1370,7 +1418,10 @@ def test_partitioning_in_dataset_kwargs_raises_error(ray_start_regular_shared): def test_tensors_in_tables_parquet( - ray_start_regular_shared, tmp_path, restore_data_context + ray_start_regular_shared, + tmp_path, + restore_data_context, + target_max_block_size_infinite_or_default, ): """This test verifies both V1 and V2 Tensor Type extensions of Arrow Array types @@ -1456,7 +1507,9 @@ def _assert_equal(rows, expected): _assert_equal(ds.take_all(), expected_tuples) -def test_multiple_files_with_ragged_arrays(ray_start_regular_shared, tmp_path): +def test_multiple_files_with_ragged_arrays( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): # Test reading multiple parquet files, each of which has different-shaped # ndarrays in the same column. # See https://github.com/ray-project/ray/issues/47960 for more context. @@ -1482,7 +1535,9 @@ def map(row): assert item["data"].shape == (100 * (index + 1), 100 * (index + 1)) -def test_count_with_filter(ray_start_regular_shared): +def test_count_with_filter( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): ds = ray.data.read_parquet( "example://iris.parquet", filter=(pds.field("sepal.length") < pds.scalar(0)) ) @@ -1523,7 +1578,9 @@ def test_write_auto_infer_nullable_fields( ds.write_parquet(tmp_path, min_rows_per_file=2) -def test_seed_file_shuffle(restore_data_context, tmp_path): +def test_seed_file_shuffle( + restore_data_context, tmp_path, target_max_block_size_infinite_or_default +): def write_parquet_file(path, file_index): """Write a dummy Parquet file with test data.""" # Create a dummy dataset with unique data for each file @@ -1552,7 +1609,9 @@ def write_parquet_file(path, file_index): assert ds1.take_all() == ds2.take_all() -def test_read_file_with_partition_values(ray_start_regular_shared, tmp_path): +def test_read_file_with_partition_values( + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default +): # Typically, partition values are excluded from the Parquet file and are instead # encoded in the directory structure. However, in some cases, partition values # are also included in the Parquet file. This test verifies that case. @@ -1565,7 +1624,9 @@ def test_read_file_with_partition_values(ray_start_regular_shared, tmp_path): assert ds.take_all() == [{"data": 0, "year": 2024}] -def test_read_null_data_in_first_file(tmp_path, ray_start_regular_shared): +def test_read_null_data_in_first_file( + tmp_path, ray_start_regular_shared, target_max_block_size_infinite_or_default +): # The `read_parquet` implementation might infer the schema from the first file. # This test ensures that implementation handles the case where the first file has no # data and the inferred type is `null`. @@ -1584,7 +1645,9 @@ def test_read_null_data_in_first_file(tmp_path, ray_start_regular_shared): ] -def test_read_invalid_file_extensions_emits_warning(tmp_path, ray_start_regular_shared): +def test_read_invalid_file_extensions_emits_warning( + tmp_path, ray_start_regular_shared, target_max_block_size_infinite_or_default +): table = pa.Table.from_pydict({}) pq.write_table(table, tmp_path / "no_extension") @@ -1640,9 +1703,79 @@ def test_parquet_row_group_size_002(ray_start_regular_shared, tmp_path): assert ds.fragments[0].num_row_groups == 10 +@pytest.mark.parametrize("override_num_blocks", [1, 2, 3]) +def test_max_block_size_none_respects_override_num_blocks( + ray_start_regular_shared, + tmp_path, + override_num_blocks, + target_max_block_size_infinite, +): + """ + When `DataContext.target_max_block_size` is explicitly set to ``None``, + TODO override_num_blocks should always be respected even when target_max_block_size isn't set to None. + read_parquet must still honour ``override_num_blocks``. + The read should yield the specified number of input blocks and – after a pivot – + one output row per block (since all rows have the same ID). + """ + import os + + import pandas as pd + + # Build a >10 k-row Parquet file. + num_rows = 10_005 + df = pd.DataFrame( + { + "ID": ["A"] * num_rows, + "values": range(num_rows), + "dttm": pd.date_range("2024-01-01", periods=num_rows, freq="h").astype(str), + } + ) + file_path = os.path.join(tmp_path, "maxblock_none.parquet") + df.to_parquet(file_path) + + # Read with the specified number of blocks enforced. + ds = ray.data.read_parquet(file_path, override_num_blocks=override_num_blocks) + + def _pivot_data(batch: pd.DataFrame) -> pd.DataFrame: # noqa: WPS430 + return batch.pivot(index="ID", columns="dttm", values="values") + + out_ds = ds.map_batches( + _pivot_data, + batch_size=None, + batch_format="pandas", + ) + out_df = out_ds.to_pandas() + + # Create expected result using pandas pivot on original data + expected_df = df.pivot(index="ID", columns="dttm", values="values") + + # Verify the schemas match (same columns) + assert set(out_df.columns) == set(expected_df.columns) + + # Verify we have the expected number of rows (one per block) + assert len(out_df) == override_num_blocks + + # Verify that all original values are present by comparing with expected result + # Only sum non-null values to avoid counting NaN as -1 + expected_sum = expected_df.sum(skipna=True).sum() + actual_sum = out_df.sum(skipna=True).sum() + assert actual_sum == expected_sum + + # Verify that the combined result contains the same data as the expected result + # by checking that each column's non-null values match + for col in expected_df.columns: + expected_values = expected_df[col].dropna() + actual_values = out_df[col].dropna() + assert len(expected_values) == len(actual_values) + assert set(expected_values) == set(actual_values) + + @pytest.mark.parametrize("min_rows_per_file", [5, 10]) def test_write_partition_cols_with_min_rows_per_file( - tmp_path, ray_start_regular_shared, min_rows_per_file + tmp_path, + ray_start_regular_shared, + min_rows_per_file, + target_max_block_size_infinite_or_default, ): """Test write_parquet with both partition_cols and min_rows_per_file.""" @@ -1715,7 +1848,12 @@ def test_write_partition_cols_with_min_rows_per_file( @pytest.mark.parametrize("max_rows_per_file", [5, 10, 25]) -def test_write_max_rows_per_file(tmp_path, ray_start_regular_shared, max_rows_per_file): +def test_write_max_rows_per_file( + tmp_path, + ray_start_regular_shared, + max_rows_per_file, + target_max_block_size_infinite_or_default, +): ray.data.range(100, override_num_blocks=1).write_parquet( tmp_path, max_rows_per_file=max_rows_per_file ) @@ -1757,7 +1895,11 @@ def test_write_max_rows_per_file(tmp_path, ray_start_regular_shared, max_rows_pe "min_rows_per_file,max_rows_per_file", [(5, 10), (10, 20), (15, 30)] ) def test_write_min_max_rows_per_file( - tmp_path, ray_start_regular_shared, min_rows_per_file, max_rows_per_file + tmp_path, + ray_start_regular_shared, + min_rows_per_file, + max_rows_per_file, + target_max_block_size_infinite_or_default, ): ray.data.range(100, override_num_blocks=1).write_parquet( tmp_path, @@ -1834,7 +1976,10 @@ def test_write_min_max_rows_per_file_validation(tmp_path, ray_start_regular_shar @pytest.mark.parametrize("max_rows_per_file", [5, 10]) def test_write_partition_cols_with_max_rows_per_file( - tmp_path, ray_start_regular_shared, max_rows_per_file + tmp_path, + ray_start_regular_shared, + max_rows_per_file, + target_max_block_size_infinite_or_default, ): """Test max_rows_per_file with partition columns.""" import pyarrow.parquet as pq From affda6734fb99f3949526f05b5c1d4f416230e30 Mon Sep 17 00:00:00 2001 From: Rueian Date: Thu, 24 Jul 2025 14:25:38 -0700 Subject: [PATCH 0343/1566] [core] Move GCSNodeInfo mutations to GcsNodeManager::UpdateAliveNode (#54875) ## Why are these changes needed? Currently, `GcsResourceManager` directly mutates `GCSNodeInfo`, which is managed by `GcsNodeManager`; however, this mutation should be the responsibility of `GcsNodeManager`. This PR moves the mutation to the new `GcsNodeManager::UpdateNode` function without any behavioral changes and adds tests for it. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_node_manager.cc | 23 ++++++++ src/ray/gcs/gcs_server/gcs_node_manager.h | 8 +++ .../gcs/gcs_server/gcs_resource_manager.cc | 17 +----- .../gcs_server/test/gcs_node_manager_test.cc | 59 +++++++++++++++++++ 4 files changed, 91 insertions(+), 16 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 61cd1b5e71a7..bd79b6a121bc 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -509,5 +509,28 @@ std::string GcsNodeManager::DebugString() const { return stream.str(); } +void GcsNodeManager::UpdateAliveNode( + const NodeID &node_id, + const syncer::ResourceViewSyncMessage &resource_view_sync_message) { + auto maybe_node_info = GetAliveNode(node_id); + if (maybe_node_info == absl::nullopt) { + return; + } + + auto snapshot = maybe_node_info.value()->mutable_state_snapshot(); + + if (resource_view_sync_message.idle_duration_ms() > 0) { + snapshot->set_state(rpc::NodeSnapshot::IDLE); + snapshot->set_idle_duration_ms(resource_view_sync_message.idle_duration_ms()); + } else { + snapshot->set_state(rpc::NodeSnapshot::ACTIVE); + snapshot->mutable_node_activity()->CopyFrom( + resource_view_sync_message.node_activity()); + } + if (resource_view_sync_message.is_draining()) { + snapshot->set_state(rpc::NodeSnapshot::DRAINING); + } +} + } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index d64e4f613770..0c30e4e2549b 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -28,6 +28,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "ray/common/id.h" +#include "ray/common/ray_syncer/ray_syncer.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" @@ -171,6 +172,13 @@ class GcsNodeManager : public rpc::NodeInfoHandler { /// This is technically not draining a node. It should be just called "kill node". virtual void DrainNode(const NodeID &node_id); + /// Update node state from a resource view sync message if the node is alive. + /// + /// \param node_id The ID of the node to update. + /// \param resource_view_sync_message The sync message containing the new state. + void UpdateAliveNode(const NodeID &node_id, + const syncer::ResourceViewSyncMessage &resource_view_sync_message); + private: /// Add the dead node to the cache. If the cache is full, the earliest dead node is /// evicted. diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_server/gcs_resource_manager.cc index d922cc07b507..75dbcc33349e 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.cc @@ -258,22 +258,7 @@ void GcsResourceManager::UpdateNodeResourceUsage( const syncer::ResourceViewSyncMessage &resource_view_sync_message) { // Note: This may be inconsistent with autoscaler state, which is // not reported as often as a Ray Syncer message. - if (auto maybe_node_info = gcs_node_manager_.GetAliveNode(node_id); - maybe_node_info != absl::nullopt) { - auto snapshot = maybe_node_info.value()->mutable_state_snapshot(); - - if (resource_view_sync_message.idle_duration_ms() > 0) { - snapshot->set_state(rpc::NodeSnapshot::IDLE); - snapshot->set_idle_duration_ms(resource_view_sync_message.idle_duration_ms()); - } else { - snapshot->set_state(rpc::NodeSnapshot::ACTIVE); - snapshot->mutable_node_activity()->CopyFrom( - resource_view_sync_message.node_activity()); - } - if (resource_view_sync_message.is_draining()) { - snapshot->set_state(rpc::NodeSnapshot::DRAINING); - } - } + gcs_node_manager_.UpdateAliveNode(node_id, resource_view_sync_message); auto iter = node_resource_usages_.find(node_id); if (iter == node_resource_usages_.end()) { diff --git a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc index 12a6e25225b7..0b7d8298c862 100644 --- a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc @@ -24,6 +24,7 @@ #include "ray/rpc/node_manager/node_manager_client_pool.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" +#include "ray/common/ray_syncer/ray_syncer.h" // clang-format on namespace ray { @@ -107,4 +108,62 @@ TEST_F(GcsNodeManagerTest, TestListener) { } } +TEST_F(GcsNodeManagerTest, TestUpdateAliveNode) { + gcs::GcsNodeManager node_manager(gcs_publisher_.get(), + gcs_table_storage_.get(), + io_context_->GetIoService(), + client_pool_.get(), + ClusterID::Nil()); + + // Create a test node + auto node = Mocker::GenNodeInfo(); + auto node_id = NodeID::FromBinary(node->node_id()); + + // Add the node to the manager + node_manager.AddNode(node); + + // Test 1: Update node with idle state + { + rpc::syncer::ResourceViewSyncMessage sync_message; + sync_message.set_idle_duration_ms(5000); + + node_manager.UpdateAliveNode(node_id, sync_message); + + auto updated_node = node_manager.GetAliveNode(node_id); + EXPECT_TRUE(updated_node.has_value()); + EXPECT_EQ(updated_node.value()->state_snapshot().state(), rpc::NodeSnapshot::IDLE); + EXPECT_EQ(updated_node.value()->state_snapshot().idle_duration_ms(), 5000); + } + + // Test 2: Update node with active state (idle_duration_ms = 0) + { + rpc::syncer::ResourceViewSyncMessage sync_message; + sync_message.set_idle_duration_ms(0); + sync_message.add_node_activity("Busy workers on node."); + + node_manager.UpdateAliveNode(node_id, sync_message); + + auto updated_node = node_manager.GetAliveNode(node_id); + EXPECT_TRUE(updated_node.has_value()); + EXPECT_EQ(updated_node.value()->state_snapshot().state(), rpc::NodeSnapshot::ACTIVE); + EXPECT_EQ(updated_node.value()->state_snapshot().node_activity_size(), 1); + EXPECT_EQ(updated_node.value()->state_snapshot().node_activity(0), + "Busy workers on node."); + } + + // Test 3: Update node with draining state + { + rpc::syncer::ResourceViewSyncMessage sync_message; + sync_message.set_idle_duration_ms(0); + sync_message.set_is_draining(true); + + node_manager.UpdateAliveNode(node_id, sync_message); + + auto updated_node = node_manager.GetAliveNode(node_id); + EXPECT_TRUE(updated_node.has_value()); + EXPECT_EQ(updated_node.value()->state_snapshot().state(), + rpc::NodeSnapshot::DRAINING); + } +} + } // namespace ray From a8cc7e52e13abec7f82c5ec416a7c6ac6d9870f2 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 24 Jul 2025 16:46:34 -0700 Subject: [PATCH 0344/1566] [Core] [chore] Clean unused RAY_PROCESSES constants (#54892) ray stop will kill processes which contain the keywords listed in RAY_PROCESSES .We currently don't have any Ray processes with the keyword reporter.py, so we should remove this keyword in RAY_PROCESSES to avoid accidentally affecting other processes. Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/constants.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/ray/autoscaler/_private/constants.py b/python/ray/autoscaler/_private/constants.py index 304625480d20..ca1005e88db2 100644 --- a/python/ray/autoscaler/_private/constants.py +++ b/python/ray/autoscaler/_private/constants.py @@ -128,7 +128,6 @@ def env_integer(key, default): ], # Python worker. TODO(mehrdadn): Fix for Windows ["io.ray.runtime.runner.worker.DefaultWorker", False], # Java worker. ["log_monitor.py", False], - ["reporter.py", False], [os.path.join("dashboard", "agent.py"), False], [os.path.join("dashboard", "dashboard.py"), False], [os.path.join("runtime_env", "agent", "main.py"), False], From d510824694088994646379a17ac8c14f691fcea5 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Thu, 24 Jul 2025 17:42:31 -0700 Subject: [PATCH 0345/1566] [Data] Consider budget when making actor autoscaling decisions (#54902) ## Why are these changes needed? If you don't consider budget when scaling up actor pools, then actors can occupy all of the logical resources and starve other operators. To fix this issue, this PR updates the autoscaler to consider the budget as well. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../autoscaler/default_autoscaler.py | 4 ++ .../_internal/execution/autoscaler/util.py | 48 +++++++++++++++++++ python/ray/data/tests/test_autoscaler.py | 14 +++++- 3 files changed, 65 insertions(+), 1 deletion(-) create mode 100644 python/ray/data/_internal/execution/autoscaler/util.py diff --git a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py b/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py index 99d9752126c7..fd385f97ba33 100644 --- a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py +++ b/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py @@ -6,6 +6,7 @@ import ray from .autoscaler import Autoscaler from .autoscaling_actor_pool import ActorPoolScalingRequest, AutoscalingActorPool +from .util import get_max_scale_up from ray.data._internal.execution.autoscaling_requester import ( get_or_create_autoscaling_requester_actor, ) @@ -97,6 +98,9 @@ def _derive_target_scaling_config( return ActorPoolScalingRequest.no_op( reason="operator exceeding resource quota" ) + budget = self._resource_manager.get_budget(op) + if get_max_scale_up(actor_pool, budget) == 0: + return ActorPoolScalingRequest.no_op(reason="exceeded resource limits") return ActorPoolScalingRequest.upscale( delta=1, diff --git a/python/ray/data/_internal/execution/autoscaler/util.py b/python/ray/data/_internal/execution/autoscaler/util.py new file mode 100644 index 000000000000..550e2a0066e5 --- /dev/null +++ b/python/ray/data/_internal/execution/autoscaler/util.py @@ -0,0 +1,48 @@ +import math +from typing import Optional + +from .autoscaling_actor_pool import AutoscalingActorPool +from ray.data._internal.execution.interfaces import ExecutionResources + + +def get_max_scale_up( + actor_pool: AutoscalingActorPool, + budget: Optional[ExecutionResources], +) -> Optional[int]: + """Get the maximum number of actors that can be scaled up. + + Args: + actor_pool: The actor pool to scale up. + budget: The budget to scale up. + + Returns: + The maximum number of actors that can be scaled up, or `None` if you can + scale up infinitely. + """ + if budget is None: + return None + + assert budget.cpu >= 0 and budget.gpu >= 0 + + num_cpus_per_actor = actor_pool.per_actor_resource_usage().cpu + num_gpus_per_actor = actor_pool.per_actor_resource_usage().gpu + assert num_cpus_per_actor >= 0 and num_gpus_per_actor >= 0 + + max_cpu_scale_up: float = float("inf") + if num_cpus_per_actor > 0 and not math.isinf(budget.cpu): + max_cpu_scale_up = budget.cpu // num_cpus_per_actor + + max_gpu_scale_up: float = float("inf") + if num_gpus_per_actor > 0 and not math.isinf(budget.gpu): + max_gpu_scale_up = budget.gpu // num_gpus_per_actor + + max_scale_up = min(max_cpu_scale_up, max_gpu_scale_up) + if math.isinf(max_scale_up): + return None + else: + assert not math.isnan(max_scale_up), ( + budget, + num_cpus_per_actor, + num_gpus_per_actor, + ) + return int(max_scale_up) diff --git a/python/ray/data/tests/test_autoscaler.py b/python/ray/data/tests/test_autoscaler.py index 59bcbdb1b15f..736fff47fb58 100644 --- a/python/ray/data/tests/test_autoscaler.py +++ b/python/ray/data/tests/test_autoscaler.py @@ -16,6 +16,7 @@ from ray.data._internal.execution.operators.base_physical_operator import ( InternalQueueOperatorMixin, ) +from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.execution.streaming_executor_state import OpState from ray.data.context import ( AutoscalingConfig, @@ -26,9 +27,12 @@ def test_actor_pool_scaling(): """Test `_actor_pool_should_scale_up` and `_actor_pool_should_scale_down` in `DefaultAutoscaler`""" + resource_manager = MagicMock( + spec=ResourceManager, get_budget=MagicMock(return_value=None) + ) autoscaler = DefaultAutoscaler( topology=MagicMock(), - resource_manager=MagicMock(), + resource_manager=resource_manager, execution_id="execution_id", config=AutoscalingConfig( actor_pool_util_upscaling_threshold=1.0, @@ -47,6 +51,7 @@ def test_actor_pool_scaling(): num_pending_actors=MagicMock(return_value=0), num_free_task_slots=MagicMock(return_value=5), num_tasks_in_flight=MagicMock(return_value=15), + per_actor_resource_usage=MagicMock(return_value=ExecutionResources(cpu=1)), _max_actor_concurrency=1, get_pool_util=MagicMock( # NOTE: Unittest mocking library doesn't support proxying to actual @@ -190,6 +195,13 @@ def assert_autoscaling_action(*, delta: int, expected_reason: Optional[str]): expected_reason="pool exceeding max size", ) + # Should no-op because the op has no budget. + with patch(resource_manager, "get_budget", ExecutionResources.zero()): + assert_autoscaling_action( + delta=0, + expected_reason="exceeded resource limits", + ) + def test_cluster_scaling(): """Test `_try_scale_up_cluster` in `DefaultAutoscaler`""" From d652000a1c74fac1eceda1e5c6d1b3e12049084d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 24 Jul 2025 18:43:59 -0700 Subject: [PATCH 0346/1566] [ci] upgrade rayci version to 0.17.0 (#54897) https://github.com/ray-project/rayci/releases/tag/v0.17.0 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .rayciversion | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.rayciversion b/.rayciversion index 04a373efe6ba..c5523bd09b18 100644 --- a/.rayciversion +++ b/.rayciversion @@ -1 +1 @@ -0.16.0 +0.17.0 From 3c14881472b34df32e494e9983eb5df47450733f Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Fri, 25 Jul 2025 08:42:09 -0700 Subject: [PATCH 0347/1566] [data] adding snowflake connectors (#51429) Signed-off-by: Douglas Strodtman --- .buildkite/data.rayci.yml | 23 ++++- ci/env/setup_credentials.py | 6 ++ doc/source/data/api/input_output.rst | 10 ++ python/ray/data/BUILD | 15 +++ python/ray/data/__init__.py | 2 + python/ray/data/dataset.py | 59 ++++++++++++ python/ray/data/read_api.py | 64 +++++++++++++ python/ray/data/tests/test_snowflake.py | 120 ++++++++++++++++++++++++ 8 files changed, 295 insertions(+), 4 deletions(-) create mode 100644 python/ray/data/tests/test_snowflake.py diff --git a/.buildkite/data.rayci.yml b/.buildkite/data.rayci.yml index 01512dce3722..adeea985443b 100644 --- a/.buildkite/data.rayci.yml +++ b/.buildkite/data.rayci.yml @@ -44,7 +44,7 @@ steps: --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name data9build - --except-tags data_integration,doctest,data_non_parallel,dask + --except-tags data_integration,doctest,data_non_parallel,dask,needs_credentials depends_on: data9build - label: ":database: data: arrow v9 tests (data_non_parallel)" @@ -69,7 +69,7 @@ steps: --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name datalbuild - --except-tags data_integration,doctest,data_non_parallel,dask + --except-tags data_integration,doctest,data_non_parallel,dask,needs_credentials depends_on: datalbuild - label: ":database: data: arrow v20 tests (data_non_parallel)" @@ -94,7 +94,7 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/data/... //python/ray/air/... data --workers 2 --worker-id {{matrix.worker_id}} --parallelism-per-worker 3 --python-version {{matrix.python}} - --except-tags data_integration,doctest,data_non_parallel,dask + --except-tags data_integration,doctest,data_non_parallel,dask,needs_credentials depends_on: databuild-multipy matrix: setup: @@ -128,7 +128,7 @@ steps: --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --build-name datanbuild - --except-tags data_integration,doctest,data_non_parallel,dask + --except-tags data_integration,doctest,data_non_parallel,dask,needs_credentials depends_on: datanbuild soft_fail: true @@ -272,3 +272,18 @@ steps: --build-name docgpubuild --only-tags gpu,gpu_only depends_on: docgpubuild + - label: ":data: postmerge authenticated tests" + key: data_postmerge_authenticated_tests + tags: + - python + - data + - skip-on-premerge + instance_type: medium + commands: + - pip install -U boto3==1.28.70 awscli==1.29.70 + - $(python ci/env/setup_credentials.py) + - bazel run //ci/ray_ci:test_in_docker -- //python/ray/data/... data + --build-name datalbuild + --only-tags needs_credentials + --test-env=SNOWFLAKE_USER --test-env=SNOWFLAKE_ACCOUNT --test-env=SNOWFLAKE_DATABASE --test-env=SNOWFLAKE_SCHEMA --test-env=SNOWFLAKE_WAREHOUSE --test-env=SNOWFLAKE_PRIVATE_KEY + depends_on: datalbuild diff --git a/ci/env/setup_credentials.py b/ci/env/setup_credentials.py index d46e7421fac7..2f03b1c766a4 100644 --- a/ci/env/setup_credentials.py +++ b/ci/env/setup_credentials.py @@ -25,6 +25,12 @@ def get_ray_air_secrets(client): SERVICES = { "wandb_key": "WANDB_API_KEY", "comet_ml_token": "COMET_API_KEY", + "snowflake_schema": "SNOWFLAKE_SCHEMA", + "snowflake_database": "SNOWFLAKE_DATABASE", + "snowflake_user": "SNOWFLAKE_USER", + "snowflake_account": "SNOWFLAKE_ACCOUNT", + "snowflake_warehouse": "SNOWFLAKE_WAREHOUSE", + "snowflake_private_key": "SNOWFLAKE_PRIVATE_KEY", } diff --git a/doc/source/data/api/input_output.rst b/doc/source/data/api/input_output.rst index 551c9e71899b..9c4ad3868bb2 100644 --- a/doc/source/data/api/input_output.rst +++ b/doc/source/data/api/input_output.rst @@ -186,6 +186,16 @@ Databricks read_databricks_tables +Snowflake +--------- + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + read_snowflake + Dataset.write_snowflake + Unity Catalog ------------- diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 798bc4c79b9a..0544349df98d 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -111,6 +111,21 @@ py_test( ], ) +py_test( + name = "test_snowflake", + size = "small", + srcs = ["tests/test_snowflake.py"], + tags = [ + "exclusive", + "needs_credentials", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_mongo", size = "large", diff --git a/python/ray/data/__init__.py b/python/ray/data/__init__.py index 4e6be48cb725..724397b580df 100644 --- a/python/ray/data/__init__.py +++ b/python/ray/data/__init__.py @@ -63,6 +63,7 @@ read_numpy, read_parquet, read_parquet_bulk, + read_snowflake, read_sql, read_text, read_tfrecords, @@ -164,6 +165,7 @@ "read_mongo", "read_parquet", "read_parquet_bulk", + "read_snowflake", "read_sql", "read_tfrecords", "read_unity_catalog", diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 9ac608bf913a..146ec1000cbd 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -4264,6 +4264,65 @@ def write_sql( concurrency=concurrency, ) + @ConsumptionAPI + def write_snowflake( + self, + table: str, + connection_parameters: str, + *, + ray_remote_args: Dict[str, Any] = None, + concurrency: Optional[int] = None, + ): + """Write this ``Dataset`` to a Snowflake table. + + Examples: + + .. testcode:: + :skipif: True + + import ray + + connection_parameters = dict( + user=..., + account="ABCDEFG-ABC12345", + password=..., + database="SNOWFLAKE_SAMPLE_DATA", + schema="TPCDS_SF100TCL" + ) + ds = ray.data.read_parquet("s3://anonymous@ray-example-data/iris.parquet") + ds.write_snowflake("MY_DATABASE.MY_SCHEMA.IRIS", connection_parameters) + + Args: + table: The name of the table to write to. + connection_parameters: Keyword arguments to pass to + ``snowflake.connector.connect``. To view supported parameters, read + https://docs.snowflake.com/developer-guide/python-connector/python-connector-api#functions. + ray_remote_args: Keyword arguments passed to :func:`ray.remote` in the + write tasks. + concurrency: The maximum number of Ray tasks to run concurrently. Set this + to control number of tasks to run concurrently. This doesn't change the + total number of tasks run. By default, concurrency is dynamically + decided based on the available resources. + """ # noqa: E501 + import snowflake.connector + + def snowflake_connection_factory(): + return snowflake.connector.connect(**connection_parameters) + + # Get column names from the dataset schema + column_names = self.schema().names + + # Generate the SQL insert statement + columns_str = ", ".join(f'"{col}"' for col in column_names) + placeholders = ", ".join(["%s"] * len(column_names)) + sql = f"INSERT INTO {table} ({columns_str}) VALUES ({placeholders})" + self.write_sql( + sql, + connection_factory=snowflake_connection_factory, + ray_remote_args=ray_remote_args, + concurrency=concurrency, + ) + @PublicAPI(stability="alpha", api_group=IOC_API_GROUP) @ConsumptionAPI def write_mongo( diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 8b018a540e28..5f2db616b182 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -2435,6 +2435,70 @@ def create_connection(): ) +@PublicAPI(stability="alpha") +def read_snowflake( + sql: str, + connection_parameters: Dict[str, Any], + *, + shard_keys: Optional[list[str]] = None, + ray_remote_args: Dict[str, Any] = None, + concurrency: Optional[int] = None, + override_num_blocks: Optional[int] = None, +) -> Dataset: + """Read data from a Snowflake data set. + + Example: + + .. testcode:: + :skipif: True + + import ray + + connection_parameters = dict( + user=..., + account="ABCDEFG-ABC12345", + password=..., + database="SNOWFLAKE_SAMPLE_DATA", + schema="TPCDS_SF100TCL" + ) + ds = ray.data.read_snowflake("SELECT * FROM CUSTOMERS", connection_parameters) + + Args: + sql: The SQL query to execute. + connection_parameters: Keyword arguments to pass to + ``snowflake.connector.connect``. To view supported parameters, read + https://docs.snowflake.com/developer-guide/python-connector/python-connector-api#functions. + shard_keys: The keys to shard the data by. + ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. + concurrency: The maximum number of Ray tasks to run concurrently. Set this + to control number of tasks to run concurrently. This doesn't change the + total number of tasks run or the total number of output blocks. By default, + concurrency is dynamically decided based on the available resources. + override_num_blocks: Override the number of output blocks from all read tasks. + This is used for sharding when shard_keys is provided. + By default, the number of output blocks is dynamically decided based on + input data size and available resources. You shouldn't manually set this + value in most cases. + + Returns: + A ``Dataset`` containing the data from the Snowflake data set. + """ # noqa: E501 + import snowflake.connector + + def snowflake_connection_factory(): + return snowflake.connector.connect(**connection_parameters) + + return ray.data.read_sql( + sql, + connection_factory=snowflake_connection_factory, + shard_keys=shard_keys, + shard_hash_fn="hash", + ray_remote_args=ray_remote_args, + concurrency=concurrency, + override_num_blocks=override_num_blocks, + ) + + @PublicAPI(stability="alpha") def read_databricks_tables( *, diff --git a/python/ray/data/tests/test_snowflake.py b/python/ray/data/tests/test_snowflake.py new file mode 100644 index 000000000000..a44c1b8900a6 --- /dev/null +++ b/python/ray/data/tests/test_snowflake.py @@ -0,0 +1,120 @@ +import base64 +import os +import random +import string +from typing import Any, Dict, List, Tuple + +import pytest +from snowflake.connector import connect + +import ray +from ray.tests.conftest import * # noqa + +# Note: Snowflake secrets are only used in postmerge authenticated tests. + + +@pytest.fixture +def connection_parameters(): + private_key_b64 = os.getenv("SNOWFLAKE_PRIVATE_KEY") + private_key_bytes = base64.b64decode(private_key_b64) + parameters = { + "user": os.getenv("SNOWFLAKE_USER"), + "account": os.getenv("SNOWFLAKE_ACCOUNT"), + "database": os.getenv("SNOWFLAKE_DATABASE"), + "schema": os.getenv("SNOWFLAKE_SCHEMA"), + "warehouse": os.getenv("SNOWFLAKE_WAREHOUSE"), + "private_key": private_key_bytes, + } + + yield parameters + + +@pytest.fixture +def temp_table(connection_parameters): + table_name = "".join([random.choice(string.ascii_uppercase) for _ in range(8)]) + + yield table_name + + with connect(**connection_parameters) as connection, connection.cursor() as cursor: + cursor.execute(f"DROP TABLE IF EXISTS {table_name}") + connection.commit() + + +@pytest.mark.needs_credentials +def test_read(ray_start_regular_shared, connection_parameters): + # This query fetches a small dataset with a variety of column types. + query = "SELECT * FROM SNOWFLAKE_SAMPLE_DATA.TPCDS_SF100TCL.CALL_CENTER" + + # Read the data and check contents. + dataset = ray.data.read_snowflake(query, connection_parameters) + actual_column_names = dataset.schema().names + actual_rows = [tuple(row.values()) for row in dataset.take_all()] + expected_column_names, expected_rows = execute(query, connection_parameters) + + assert actual_column_names == expected_column_names + assert sorted(actual_rows) == sorted(expected_rows) + + +@pytest.mark.needs_credentials +def test_write(ray_start_regular_shared, temp_table, connection_parameters): + expected_column_names = ["title", "year", "score"] + expected_rows = [ + ("Monty Python and the Holy Grail", 1975, 8.2), + ("And Now for Something Completely Different", 1971, 7.5), + ] + + # Create the table first + create_table_sql = f""" + CREATE TABLE IF NOT EXISTS {temp_table} ( + "title" VARCHAR(255), + "year" INTEGER, + "score" FLOAT + ) + """ + execute(create_table_sql, connection_parameters) + + items = [dict(zip(expected_column_names, row)) for row in expected_rows] + dataset = ray.data.from_items(items) + + dataset.write_snowflake(temp_table, connection_parameters) + actual_column_names, actual_rows = execute( + f"SELECT * FROM {temp_table}", connection_parameters + ) + + assert actual_column_names == expected_column_names + assert sorted(actual_rows) == sorted(expected_rows) + + +@pytest.mark.needs_credentials +def execute( + query: str, connection_parameters: Dict[str, str] +) -> Tuple[List[str], List[Tuple[Any]]]: + """Execute a query on Snowflake and return the resulting data. + + Args: + query: The SQL query to execute. + connection_parameters: Connection params for snowflake. + + Returns: + A two-tuple containing the column names and rows. + """ + with connect(**connection_parameters) as connection, connection.cursor() as cursor: + cursor.execute(query) + column_names = [column_metadata.name for column_metadata in cursor.description] + rows = cursor.fetchall() + + # TODO(mowen): Figure out how to actually handle the Decimal objects, we don't + # want a divergenece in behavior here. + # The Snowflake Python Connector represents numbers as `Decimal` objects. + # rows = [ + # tuple(float(value) if isinstance(value, Decimal) else value for value in row) + # for row in rows + # ] + + return column_names, rows + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) From 9c5993e56de90c42a90e5ce14cdcce3c55a0e93d Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Fri, 25 Jul 2025 12:51:18 -0700 Subject: [PATCH 0348/1566] [Data] Add back `from_daft` arrow version checks (#54907) Signed-off-by: Douglas Strodtman --- python/ray/data/read_api.py | 10 ++++++++++ python/ray/data/tests/test_daft.py | 22 ++++++++++++++++++++++ 2 files changed, 32 insertions(+) diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 5f2db616b182..dd0198521a24 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -16,8 +16,10 @@ ) import numpy as np +from packaging.version import parse as parse_version import ray +from ray._private.arrow_utils import get_pyarrow_version from ray._private.auto_init_hook import wrap_auto_init from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray from ray.data._internal.datasource.audio_datasource import AudioDatasource @@ -2716,6 +2718,14 @@ def from_daft(df: "daft.DataFrame") -> Dataset: Returns: A :class:`~ray.data.Dataset` holding rows read from the DataFrame. """ + pyarrow_version = get_pyarrow_version() + assert pyarrow_version is not None + if pyarrow_version >= parse_version("14.0.0"): + raise RuntimeError( + "`from_daft` only works with PyArrow 13 or lower. For more details, see " + "https://github.com/ray-project/ray/issues/53278." + ) + # NOTE: Today this returns a MaterializedDataset. We should also integrate Daft such # that we can stream object references into a Ray dataset. Unfortunately this is # very tricky today because of the way Ray Datasources are implemented with a fully- diff --git a/python/ray/data/tests/test_daft.py b/python/ray/data/tests/test_daft.py index 1a96bb463401..435b44d48e5e 100644 --- a/python/ray/data/tests/test_daft.py +++ b/python/ray/data/tests/test_daft.py @@ -1,6 +1,9 @@ import os +from unittest.mock import patch +import pyarrow as pa import pytest +from packaging.version import parse as parse_version @pytest.fixture(scope="module") @@ -32,6 +35,25 @@ def ray_start(request): ray.shutdown() +def test_from_daft_raises_error_on_pyarrow_14(ray_start): + # This test assumes that `from_daft` calls `get_pyarrow_version` to get the + # PyArrow version. We can't mock `__version__` on the module directly because + # `get_pyarrow_version` caches the version. + with patch( + "ray.data.read_api.get_pyarrow_version", return_value=parse_version("14.0.0") + ): + import daft + + import ray + + with pytest.raises(RuntimeError): + ray.data.from_daft(daft.from_pydict({"col": [0]})) + + +@pytest.mark.skipif( + parse_version(pa.__version__) >= parse_version("14.0.0"), + reason="https://github.com/ray-project/ray/issues/53278", +) def test_daft_round_trip(ray_start): import daft import numpy as np From ce0b5b88f00a609516fe775fd8616cbc4c540510 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Fri, 25 Jul 2025 12:58:51 -0700 Subject: [PATCH 0349/1566] make test cli 2 use get application url (#54911) Signed-off-by: Douglas Strodtman --- .../serve/tests/test_serve_dashboard_2.py | 3 -- python/ray/serve/_private/test_utils.py | 2 +- python/ray/serve/tests/conftest.py | 5 ++ python/ray/serve/tests/test_cli_2.py | 47 ++++++++++--------- 4 files changed, 32 insertions(+), 25 deletions(-) diff --git a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py index 968d047f5467..17e25c6c5b52 100644 --- a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py +++ b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py @@ -55,7 +55,6 @@ def test_serve_namespace(ray_start_stop): ) print("Deployments are live and reachable over HTTP.\n") - ray.init(address="auto", namespace="serve") my_app_status = serve.status().applications["my_app"] assert ( len(my_app_status.deployments) == 2 @@ -63,8 +62,6 @@ def test_serve_namespace(ray_start_stop): ) print("Successfully retrieved deployment statuses with Python API.") print("Shutting down Python API.") - serve.shutdown() - ray.shutdown() @pytest.mark.parametrize( diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index b4d4f51d8464..3835f47f7064 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -734,7 +734,7 @@ def get_application_urls( Returns: The URLs of the application. """ - client = _get_global_client() + client = _get_global_client(_health_check_controller=True) serve_details = client.get_serve_details() if app_name not in serve_details["applications"]: return [client.root_url] diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 197de6a2fbe7..683a7589597f 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -183,6 +183,7 @@ def check_ray_stop(): @pytest.fixture(scope="function") def ray_start_stop(): subprocess.check_output(["ray", "stop", "--force"]) + ray.shutdown() wait_for_condition( check_ray_stop, timeout=15, @@ -192,7 +193,10 @@ def ray_start_stop(): lambda: httpx.get("http://localhost:8265/api/ray/version").status_code == 200, timeout=15, ) + ray.init("auto") yield + serve.shutdown() + ray.shutdown() subprocess.check_output(["ray", "stop", "--force"]) wait_for_condition( check_ray_stop, @@ -253,6 +257,7 @@ def ray_instance(request): }, ) + serve.shutdown() ray.shutdown() os.environ.clear() diff --git a/python/ray/serve/tests/test_cli_2.py b/python/ray/serve/tests/test_cli_2.py index 6cdb38e3d68e..ea22034fa213 100644 --- a/python/ray/serve/tests/test_cli_2.py +++ b/python/ray/serve/tests/test_cli_2.py @@ -12,11 +12,11 @@ import pytest import yaml -import ray from ray import serve from ray._common.test_utils import wait_for_condition -from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME from ray.serve._private.test_utils import ( + get_application_url, ping_fruit_stand, ping_grpc_another_method, ping_grpc_call_method, @@ -31,11 +31,10 @@ CONNECTION_ERROR_MSG = "connection error" -def ping_endpoint(endpoint: str, params: str = ""): - endpoint = endpoint.lstrip("/") - +def ping_endpoint(app_name: str, params: str = ""): try: - return httpx.get(f"http://localhost:8000/{endpoint}{params}").text + url = get_application_url("HTTP", app_name=app_name) + return httpx.get(f"{url}/{params}").text except httpx.HTTPError: return CONNECTION_ERROR_MSG @@ -52,7 +51,8 @@ def check_app_running(app_name: str): def check_http_response(expected_text: str, json: Optional[Dict] = None): - resp = httpx.post("http://localhost:8000/", json=json) + url = get_application_url("HTTP") + resp = httpx.post(url, json=json) assert resp.text == expected_text return True @@ -216,7 +216,7 @@ def test_build_multi_app(ray_start_stop): print("App 2 is live and reachable over HTTP.") app_name = "app3" - channel = grpc.insecure_channel("localhost:9000") + channel = grpc.insecure_channel(get_application_url("gRPC", app_name=app_name)) stub = serve_pb2_grpc.UserDefinedServiceStub(channel) request = serve_pb2.UserDefinedMessage(name="foo", num=30, foo="bar") metadata = (("application", app_name),) @@ -225,12 +225,18 @@ def test_build_multi_app(ray_start_stop): print("App 3 is live and reachable over gRPC.") print("Deleting applications.") + app_urls = [ + get_application_url("HTTP", app_name=app) for app in ["app1", "app2"] + ] subprocess.check_output(["serve", "shutdown", "-y"]) - wait_for_condition( - lambda: ping_endpoint("app1") == CONNECTION_ERROR_MSG - and ping_endpoint("app2") == CONNECTION_ERROR_MSG, - timeout=15, - ) + + def check_no_apps(): + for url in app_urls: + with pytest.raises(httpx.HTTPError): + _ = httpx.get(f"{url}").text + return True + + wait_for_condition(check_no_apps, timeout=15) print("Delete succeeded! Node is no longer reachable over HTTP.") @@ -245,7 +251,6 @@ def test_idempotence_after_controller_death(ray_start_stop, use_command: bool): deploy_response = subprocess.check_output(["serve", "deploy", config_file_name]) assert success_message_fragment in deploy_response - ray.init(address="auto", namespace=SERVE_NAMESPACE) serve.start() wait_for_condition( lambda: len(list_actors(filters=[("state", "=", "ALIVE")])) == 4, @@ -272,8 +277,6 @@ def test_idempotence_after_controller_death(ray_start_stop, use_command: bool): lambda: len(list_actors(filters=[("state", "=", "ALIVE")])) == 4, timeout=15, ) - serve.shutdown() - ray.shutdown() @pytest.mark.skipif(sys.platform == "win32", reason="File path incorrect on Windows.") @@ -295,7 +298,7 @@ def test_serving_request_through_grpc_proxy(ray_start_stop): app1 = "app1" app_names = [app1] - channel = grpc.insecure_channel("localhost:9000") + channel = grpc.insecure_channel(get_application_url("gRPC", app_name=app1)) # Ensures ListApplications method succeeding. wait_for_condition( @@ -337,7 +340,7 @@ def test_grpc_proxy_model_composition(ray_start_stop): app = "app1" app_names = [app] - channel = grpc.insecure_channel("localhost:9000") + channel = grpc.insecure_channel(get_application_url("gRPC", app_name=app)) # Ensures ListApplications method succeeding. wait_for_condition( @@ -359,9 +362,11 @@ def test_control_c_shutdown_serve_components(ray_start_stop): # Make sure Serve components are up and running wait_for_condition(check_app_running, app_name=SERVE_DEFAULT_APP_NAME) - assert ping_endpoint("/-/healthz") == "success" - assert json.loads(ping_endpoint("/-/routes")) == {"/": "default"} - assert ping_endpoint("/") == "hello" + assert httpx.get("http://localhost:8000/-/healthz").text == "success" + assert json.loads(httpx.get("http://localhost:8000/-/routes").text) == { + "/": "default" + } + assert httpx.get("http://localhost:8000/").text == "hello" # Send ctrl+c to shutdown Serve components p.send_signal(signal.SIGINT) From 0a6ec688c910ccff14d27e561d243608d1df3c6a Mon Sep 17 00:00:00 2001 From: Mark Rossetti Date: Fri, 25 Jul 2025 13:01:05 -0700 Subject: [PATCH 0350/1566] [Core] [Azure] query for supported Microsoft.Network/virtualNetworks API versions instead of relying on resource_client.DEFAULT_API_VERSION (#54874) Signed-off-by: Mark Rossetti Signed-off-by: Douglas Strodtman --- .../ray/autoscaler/_private/_azure/config.py | 43 +++++++++++++++++-- 1 file changed, 40 insertions(+), 3 deletions(-) diff --git a/python/ray/autoscaler/_private/_azure/config.py b/python/ray/autoscaler/_private/_azure/config.py index d49875ab327d..5320b1698ec3 100644 --- a/python/ray/autoscaler/_private/_azure/config.py +++ b/python/ray/autoscaler/_private/_azure/config.py @@ -118,9 +118,46 @@ def _configure_resource_group(config): get_by_id = get_azure_sdk_function( client=resource_client.resources, function_name="get_by_id" ) - subnet = get_by_id(vnid, resource_client.DEFAULT_API_VERSION).properties[ - "subnets" - ][0] + + # Query for supported API versions for Microsoft.Network/virtualNetworks + # because resource_client.DEFAULT_API_VERSION is not always supported. + # (Example: "2024-11-01" is the default at the time of this writing) + # Use "2024-10-01" as a fallback if we can't determine the latest stable version. + vnet_api_version = "2024-10-01" + try: + # Get supported API versions for Microsoft.Network provider + providers = resource_client.providers.get("Microsoft.Network") + vnet_resource_type = next( + ( + rt + for rt in providers.resource_types + if rt.resource_type == "virtualNetworks" + ), + None, + ) + if vnet_resource_type and vnet_resource_type.api_versions: + stable_versions = [ + v for v in vnet_resource_type.api_versions if "preview" not in v + ] + versions_to_consider = ( + stable_versions or vnet_resource_type.api_versions + ) + vnet_api_version = sorted(versions_to_consider)[-1] + logger.info( + "Using API version: %s for virtualNetworks", vnet_api_version + ) + else: + logger.warning( + "Could not determine supported API versions for virtualNetworks, using fallback version %s", + vnet_api_version, + ) + except Exception as e: + logger.warning( + "Failed to query Microsoft.Network provider: %s. Using fallback API version 2024-10-01", + str(e), + ) + + subnet = get_by_id(vnid, vnet_api_version).properties["subnets"][0] template_vnet = next( ( rs From 1cedf4477e863f48da22b4df0191d8cb4a264c51 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Fri, 25 Jul 2025 13:02:33 -0700 Subject: [PATCH 0351/1566] [Data] Limit operator push down (#54457) Signed-off-by: Douglas Strodtman --- .../modules/data/tests/test_data_head.py | 2 +- .../logical/operators/map_operator.py | 2 +- .../ray/data/_internal/logical/optimizers.py | 2 + .../_internal/logical/rules/limit_pushdown.py | 185 +++++--- .../tests/preprocessors/test_preprocessors.py | 5 +- .../data/tests/test_execution_optimizer.py | 397 ++++++++++++++++-- python/ray/data/tests/test_map.py | 2 +- .../ray/data/tests/test_transform_pyarrow.py | 1 - 8 files changed, 479 insertions(+), 117 deletions(-) diff --git a/python/ray/dashboard/modules/data/tests/test_data_head.py b/python/ray/dashboard/modules/data/tests/test_data_head.py index 202248180918..5179b5938a64 100644 --- a/python/ray/dashboard/modules/data/tests/test_data_head.py +++ b/python/ray/dashboard/modules/data/tests/test_data_head.py @@ -69,7 +69,7 @@ def test_unique_operator_id(ray_start_regular_shared): dataset = datasets[0] operators = dataset["operators"] - assert len(operators) == 14 + assert len(operators) == 3 # Should be 3 because of limiter operator fusion. @pytest.mark.skipif( diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index 6b1bcefba5ad..cca690060423 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -183,7 +183,7 @@ def __init__( self._zero_copy_batch = zero_copy_batch def can_modify_num_rows(self) -> bool: - return False + return True class MapRows(AbstractUDFMap): diff --git a/python/ray/data/_internal/logical/optimizers.py b/python/ray/data/_internal/logical/optimizers.py index 071e1edde07d..8c63ccf97b22 100644 --- a/python/ray/data/_internal/logical/optimizers.py +++ b/python/ray/data/_internal/logical/optimizers.py @@ -14,6 +14,7 @@ from ray.data._internal.logical.rules.inherit_target_max_block_size import ( InheritTargetMaxBlockSizeRule, ) +from ray.data._internal.logical.rules.limit_pushdown import LimitPushdownRule from ray.data._internal.logical.rules.operator_fusion import FuseOperators from ray.data._internal.logical.rules.randomize_blocks import ReorderRandomizeBlocksRule from ray.data._internal.logical.rules.set_read_parallelism import SetReadParallelismRule @@ -26,6 +27,7 @@ [ ReorderRandomizeBlocksRule, InheritBatchFormatRule, + LimitPushdownRule, ] ) diff --git a/python/ray/data/_internal/logical/rules/limit_pushdown.py b/python/ray/data/_internal/logical/rules/limit_pushdown.py index c6ca14317ab2..f558490fcc99 100644 --- a/python/ray/data/_internal/logical/rules/limit_pushdown.py +++ b/python/ray/data/_internal/logical/rules/limit_pushdown.py @@ -3,96 +3,143 @@ from typing import Iterable, List from ray.data._internal.logical.interfaces import LogicalOperator, LogicalPlan, Rule +from ray.data._internal.logical.operators.n_ary_operator import Union from ray.data._internal.logical.operators.one_to_one_operator import ( AbstractOneToOne, Limit, ) -from ray.data._internal.logical.operators.read_operator import Read class LimitPushdownRule(Rule): """Rule for pushing down the limit operator. When a limit operator is present, we apply the limit on the - most upstream operator that supports it. Notably, we move the - Limit operator downstream from Read op, any other non-OneToOne operator, - or any operator which could potentially change the number of output rows. + most upstream operator that supports it. We are conservative and only + push through operators that we know for certain do not modify row counts: + - Project operations (column selection) + - MapRows operations (row-wise transformations that preserve row count) + - Union operations (limits are prepended to each branch) + + We stop at: + - Any operator that can modify the number of output rows (Sort, Shuffle, Aggregate, Read etc.) In addition, we also fuse consecutive Limit operators into a single Limit operator, i.e. `Limit[n] -> Limit[m]` becomes `Limit[min(n, m)]`. """ def apply(self, plan: LogicalPlan) -> LogicalPlan: + # The DAG's root is the most downstream operator. optimized_dag = self._apply_limit_pushdown(plan.dag) optimized_dag = self._apply_limit_fusion(optimized_dag) return LogicalPlan(dag=optimized_dag, context=plan.context) def _apply_limit_pushdown(self, op: LogicalOperator) -> LogicalOperator: - """Given a DAG of LogicalOperators, traverse the DAG and push down - Limit operators, i.e. move Limit operators as far upstream as possible. - - Returns a new LogicalOperator with the Limit operators pushed down.""" - # Post-order traversal. - nodes: Iterable[LogicalOperator] = deque() - for node in op.post_order_iter(): - nodes.appendleft(node) - - while len(nodes) > 0: - current_op = nodes.pop() - - # If we encounter a Limit op, move it upstream until it reaches: - # - Read operator - # - A non-AbstractOneToOne operator (e.g. AbstractAllToAll) - # - An AbstractOneToOne operator that could change the number of output rows - - # TODO(scottjlee): in our current abstraction, we have Read extend - # AbstractMap (with no input dependency), which extends AbstractOneToOne. - # So we have to explicitly separate the Read op in its own check. - # We should remove this case once we refactor Read op to no longer - # be an AbstractOneToOne op. - if isinstance(current_op, Limit): - limit_op_copy = copy.copy(current_op) - - # Traverse up the DAG until we reach the first operator that meets - # one of the conditions above, which will serve as the new input - # into the Limit operator. - new_input_into_limit = current_op.input_dependency - ops_between_new_input_and_limit: List[LogicalOperator] = [] - while ( - isinstance(new_input_into_limit, AbstractOneToOne) - and not isinstance(new_input_into_limit, Read) - and not new_input_into_limit.can_modify_num_rows() - ): - new_input_into_limit_copy = copy.copy(new_input_into_limit) - ops_between_new_input_and_limit.append(new_input_into_limit_copy) - new_input_into_limit = new_input_into_limit.input_dependency - - # Link the Limit operator and its newly designated input op from above. - limit_op_copy._input_dependencies = [new_input_into_limit] - new_input_into_limit._output_dependencies = [limit_op_copy] - - # Build the chain of operator dependencies between the new - # input and the Limit operator, using copies of traversed operators. - ops_between_new_input_and_limit.append(limit_op_copy) - for idx in range(len(ops_between_new_input_and_limit) - 1): - curr_op, up_op = ( - ops_between_new_input_and_limit[idx], - ops_between_new_input_and_limit[idx + 1], - ) - curr_op._input_dependencies = [up_op] - up_op._output_dependencies = [curr_op] - # Add the copied operator to the list of nodes to be traversed. - nodes.append(curr_op) - - # Link the Limit operator to its new input operator. - for limit_output_op in current_op.output_dependencies: - limit_output_op._input_dependencies = [ - ops_between_new_input_and_limit[0] - ] - last_op = ops_between_new_input_and_limit[0] - last_op._output_dependencies = current_op.output_dependencies - - return current_op + """Push down Limit operators in the given operator DAG. + + This implementation uses ``LogicalOperator._apply_transform`` to + post-order-traverse the DAG and rewrite each ``Limit`` node via + :py:meth:`_push_limit_down`. + """ + + def transform(node: LogicalOperator) -> LogicalOperator: + if isinstance(node, Limit): + if isinstance(node.input_dependency, Union): + return self._push_limit_into_union(node) + return self._push_limit_down(node) + return node + + # ``_apply_transform`` returns the (potentially new) root of the DAG. + return op._apply_transform(transform) + + def _push_limit_into_union(self, limit_op: Limit) -> Limit: + """Push `limit_op` INTO every branch of its upstream Union + and preserve the global limit. + + Existing topology: + child₁ , child₂ , … -> Union -> Limit + + New topology: + child₁ -> Limit ->│ + │ + child₂ -> Limit ->┤ Union ──► Limit (original) + │ + … -> Limit ->│ + """ + union_op = limit_op.input_dependency + assert isinstance(union_op, Union) + + # 1. Detach the original Union from its children. + original_children = list(union_op.input_dependencies) + for child in original_children: + if union_op in child._output_dependencies: + child._output_dependencies.remove(union_op) + + # 2. Insert a branch-local Limit and push it further upstream. + branch_tails: List[LogicalOperator] = [] + for child in original_children: + raw_limit = Limit(child, limit_op._limit) # child → limit + if isinstance(child, Union): + # This represents the limit operator appended after the union. + pushed_tail = self._push_limit_into_union(raw_limit) + else: + # This represents the operator that takes place of the original limit position. + pushed_tail = self._push_limit_down(raw_limit) + branch_tails.append(pushed_tail) + + # 3. Re-attach the Union so that it consumes the *tails*. + new_union = Union(*branch_tails) + for tail in branch_tails: + tail._output_dependencies.append(new_union) + + # 4. Re-wire the original (global) Limit to consume the *new* Union. + limit_op._input_dependencies = [new_union] + new_union._output_dependencies = [limit_op] + + return limit_op + + def _push_limit_down(self, limit_op: Limit) -> LogicalOperator: + """Push a single limit down through compatible operators conservatively. + + Similar to the original algorithm but more conservative in what we push through. + """ + limit_op_copy = copy.copy(limit_op) + + # Traverse up the DAG until we reach the first operator that meets + # one of the stopping conditions + new_input_into_limit = limit_op.input_dependency + ops_between_new_input_and_limit: List[LogicalOperator] = [] + + while ( + isinstance(new_input_into_limit, AbstractOneToOne) + and not new_input_into_limit.can_modify_num_rows() + # We should push past MapBatches, but MapBatches can modify the row count TODO: add a flag in map_batches that allows the user to opt in ensure row preservation + ): + new_input_into_limit_copy = copy.copy(new_input_into_limit) + ops_between_new_input_and_limit.append(new_input_into_limit_copy) + new_input_into_limit = new_input_into_limit.input_dependency + + # If we couldn't push through any operators, return original + if not ops_between_new_input_and_limit: + return limit_op + + # Link the Limit operator and its newly designated input op from above. + limit_op_copy._input_dependencies = [new_input_into_limit] + new_input_into_limit._output_dependencies = [limit_op_copy] + + # Wire limit_op_copy to the first operator that should come after it + # (which is the last one we added to the list). Going from up upstream to downstream. + current_op = limit_op_copy + for next_op in reversed(ops_between_new_input_and_limit): + current_op._output_dependencies = [next_op] + next_op._input_dependencies = [current_op] + current_op = next_op + + # Link up all operations from last downstream op to post old limit location (further downstream) + last_op = current_op + for downstream_op in limit_op.output_dependencies: + downstream_op._input_dependencies = [last_op] + last_op._output_dependencies = limit_op.output_dependencies + return last_op def _apply_limit_fusion(self, op: LogicalOperator) -> LogicalOperator: """Given a DAG of LogicalOperators, traverse the DAG and fuse all diff --git a/python/ray/data/tests/preprocessors/test_preprocessors.py b/python/ray/data/tests/preprocessors/test_preprocessors.py index 48e2b1b25d75..7f7430f3d220 100644 --- a/python/ray/data/tests/preprocessors/test_preprocessors.py +++ b/python/ray/data/tests/preprocessors/test_preprocessors.py @@ -182,7 +182,10 @@ def _transform_numpy(self, data): assert ( ray.get_runtime_context().get_assigned_resources()["memory"] == memory ) - assert len(data["value"]) == batch_size + # Read(10 rows) → Limit(5) → Transform(batch_size=2) + assert ( + len(data["value"]) <= batch_size + ) # The last batch is size 1, and limit pushdown resulted in the transform occurring for fewer rows. return data def _transform_pandas(self, data): diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 79e89b86af22..980b3a7b56b6 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -1058,88 +1058,399 @@ def test_from_torch_e2e(ray_start_regular_shared_2_cpus, tmp_path): _check_usage_record(["ReadTorch"]) -@pytest.mark.skip( - reason="Limit pushdown currently disabled, see " - "https://github.com/ray-project/ray/issues/36295" -) -def test_limit_pushdown(ray_start_regular_shared_2_cpus): +def test_limit_pushdown_conservative(ray_start_regular_shared_2_cpus): + """Test limit pushdown behavior - pushes through safe operations.""" + def f1(x): return x def f2(x): return x - # Test basic limit pushdown past Map. - ds = ray.data.range(100, override_num_blocks=100).map(f1).limit(1) + # Test 1: Basic Limit -> Limit fusion (should still work) + ds = ray.data.range(100).limit(5).limit(100) _check_valid_plan_and_result( - ds, "Read[ReadRange] -> Limit[limit=1] -> MapRows[Map(f1)]", [{"id": 0}] + ds, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] ) - # Test basic Limit -> Limit fusion. - ds2 = ray.data.range(100).limit(5).limit(100) + ds = ray.data.range(100).limit(100).limit(5) _check_valid_plan_and_result( - ds2, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] + ds, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] ) - ds2 = ray.data.range(100).limit(100).limit(5) + ds = ray.data.range(100).limit(50).limit(80).limit(5).limit(20) _check_valid_plan_and_result( - ds2, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] + ds, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] ) - ds2 = ray.data.range(100).limit(50).limit(80).limit(5).limit(20) + # Test 2: Limit should push through MapRows operations (safe) + ds = ray.data.range(100, override_num_blocks=100).map(f1).limit(1) _check_valid_plan_and_result( - ds2, "Read[ReadRange] -> Limit[limit=5]", [{"id": i} for i in range(5)] + ds, "Read[ReadRange] -> Limit[limit=1] -> MapRows[Map(f1)]", [{"id": 0}] ) - # Test limit pushdown and Limit -> Limit fusion together. - ds3 = ray.data.range(100).limit(5).map(f1).limit(100) + # Test 3: Limit should not push through MapBatches operations + ds = ray.data.range(100, override_num_blocks=100).map_batches(f2).limit(1) _check_valid_plan_and_result( - ds3, - "Read[ReadRange] -> Limit[limit=5] -> MapRows[Map(f1)]", - [{"id": i} for i in range(5)], + ds, + "Read[ReadRange] -> MapBatches[MapBatches(f2)] -> Limit[limit=1]", + [{"id": 0}], ) - ds3 = ray.data.range(100).limit(100).map(f1).limit(5) + # Test 4: Limit should NOT push through Filter operations (conservative) + ds = ( + ray.data.range(100, override_num_blocks=100) + .filter(lambda x: x["id"] < 50) + .limit(1) + ) + _check_valid_plan_and_result( + ds, "Read[ReadRange] -> Filter[Filter()] -> Limit[limit=1]", [{"id": 0}] + ) + + # Test 5: Limit should push through Project operations (safe) + ds = ray.data.range(100, override_num_blocks=100).select_columns(["id"]).limit(5) _check_valid_plan_and_result( - ds3, - "Read[ReadRange] -> Limit[limit=5] -> MapRows[Map(f1)]", + ds, + "Read[ReadRange] -> Limit[limit=5] -> Project[Project]", [{"id": i} for i in range(5)], ) - # Test basic limit pushdown up to Sort. - ds4 = ray.data.range(100).sort("id").limit(5) + # Test 6: Limit should stop at Sort operations (AllToAll) + ds = ray.data.range(100).sort("id").limit(5) _check_valid_plan_and_result( - ds4, + ds, "Read[ReadRange] -> Sort[Sort] -> Limit[limit=5]", [{"id": i} for i in range(5)], ) - ds4 = ray.data.range(100).sort("id").map(f1).limit(5) + # Test 7: More complex interweaved case. + ds = ray.data.range(100).sort("id").map(f1).limit(20).sort("id").map(f2).limit(5) _check_valid_plan_and_result( - ds4, - "Read[ReadRange] -> Sort[Sort] -> Limit[limit=5] -> MapRows[Map(f1)]", + ds, + "Read[ReadRange] -> Sort[Sort] -> Limit[limit=20] -> MapRows[Map(f1)] -> " + "Sort[Sort] -> Limit[limit=5] -> MapRows[Map(f2)]", [{"id": i} for i in range(5)], ) - # Test limit pushdown between two Map operators. - ds5 = ray.data.range(100, override_num_blocks=100).map(f1).limit(1).map(f2) - # Limit operators get pushed down in the logical plan optimization, - # then fused together. + + # Test 8: Test limit pushdown between two Map operators. + ds = ray.data.range(100, override_num_blocks=100).map(f1).limit(1).map(f2) _check_valid_plan_and_result( - ds5, + ds, "Read[ReadRange] -> Limit[limit=1] -> MapRows[Map(f1)] -> MapRows[Map(f2)]", [{"id": 0}], ) - # Map operators only get fused in the optimized physical plan, not the logical plan. - assert "Map(f1)->Map(f2)" in ds5.stats() - # More complex interweaved case. - ds6 = ray.data.range(100).sort("id").map(f1).limit(20).sort("id").map(f2).limit(5) - _check_valid_plan_and_result( - ds6, - "Read[ReadRange] -> Sort[Sort] -> Limit[limit=20] -> MapRows[Map(f1)] -> " - "Sort[Sort] -> Limit[limit=5] -> MapRows[Map(f2)]", - [{"id": i} for i in range(5)], + +def test_limit_pushdown_correctness(ray_start_regular_shared_2_cpus): + """Test that limit pushdown produces correct results in various scenarios.""" + + # Test 1: Simple project + limit + ds = ray.data.range(100).select_columns(["id"]).limit(10) + result = ds.take_all() + expected = [{"id": i} for i in range(10)] + assert result == expected + + # Test 2: Multiple operations + limit (with MapRows pushdown) + ds = ( + ray.data.range(100) + .map(lambda x: {"id": x["id"], "squared": x["id"] ** 2}) + .select_columns(["id"]) + .limit(5) + ) + result = ds.take_all() + expected = [{"id": i} for i in range(5)] + assert result == expected + + # Test 3: MapRows operations should get limit pushed (safe) + ds = ray.data.range(100).map(lambda x: {"id": x["id"] * 2}).limit(5) + result = ds.take_all() + expected = [{"id": i * 2} for i in range(5)] + assert result == expected + + # Test 4: MapBatches operations should not get limit pushed + ds = ray.data.range(100).map_batches(lambda batch: {"id": batch["id"] * 2}).limit(5) + result = ds.take_all() + expected = [{"id": i * 2} for i in range(5)] + assert result == expected + + # Test 5: Filter operations should not get limit pushed (conservative) + ds = ray.data.range(100).filter(lambda x: x["id"] % 2 == 0).limit(3) + result = ds.take_all() + expected = [{"id": i} for i in [0, 2, 4]] + assert result == expected + + # Test 6: Complex chain with both safe operations (should all get limit pushed) + ds = ( + ray.data.range(100) + .select_columns(["id"]) # Project - could be safe if it was the immediate input + .map(lambda x: {"id": x["id"] + 1}) # MapRows - NOT safe, stops pushdown + .limit(3) + ) + result = ds.take_all() + expected = [{"id": i + 1} for i in range(3)] + assert result == expected + + # The plan should show all operations after the limit + plan_str = ds._plan._logical_plan.dag.dag_str + assert ( + "Read[ReadRange] -> Limit[limit=3] -> Project[Project] -> MapRows[Map()]" + == plan_str + ) + + +def test_limit_pushdown_scan_efficiency(ray_start_regular_shared_2_cpus): + """Test that limit pushdown scans fewer rows from the data source.""" + + @ray.remote + class Counter: + def __init__(self): + self.value = 0 + + def increment(self, amount=1): + self.value += amount + return self.value + + def get(self): + return self.value + + def reset(self): + self.value = 0 + + # Create a custom datasource that tracks how many rows it produces + class CountingDatasource(Datasource): + def __init__(self): + self.counter = Counter.remote() + + def prepare_read(self, parallelism, n_per_block=10): + def read_fn(block_idx): + # Each block produces n_per_block rows + ray.get(self.counter.increment.remote(n_per_block)) + return [ + pd.DataFrame( + { + "id": range( + block_idx * n_per_block, (block_idx + 1) * n_per_block + ) + } + ) + ] + + return [ + ReadTask( + lambda i=i: read_fn(i), + BlockMetadata( + num_rows=n_per_block, + size_bytes=n_per_block * 8, # rough estimate + input_files=None, + exec_stats=None, + ), + ) + for i in range(parallelism) + ] + + def get_rows_produced(self): + return ray.get(self.counter.get.remote()) + + # Test 1: Project + Limit should scan fewer rows due to pushdown + source = CountingDatasource() + ds = ray.data.read_datasource(source, override_num_blocks=20, n_per_block=10) + ds = ds.select_columns(["id"]).limit(5) + result = ds.take_all() + + # Should get correct results + assert len(result) == 5 + assert result == [{"id": i} for i in range(5)] + + # Should have scanned significantly fewer than all 200 rows (20 blocks * 10 rows) + # Due to pushdown, we should scan much less + rows_produced_1 = source.get_rows_produced() + assert rows_produced_1 < 200 # Should be much less than total + + # Test 2: MapRows + Limit should also scan fewer rows due to pushdown + source2 = CountingDatasource() + ds2 = ray.data.read_datasource(source2, override_num_blocks=20, n_per_block=10) + ds2 = ds2.map(lambda x: x).limit(5) + result2 = ds2.take_all() + + # Should get correct results + assert len(result2) == 5 + assert result2 == [{"id": i} for i in range(5)] + + # Should also scan fewer than total due to pushdown + rows_produced_2 = source2.get_rows_produced() + assert rows_produced_2 < 200 + + # Both should be efficient with pushdown + assert rows_produced_1 < 100 # Should be much less than total + assert rows_produced_2 < 100 # Should be much less than total + + # Test 3: Filter + Limit should scan fewer due to early termination, but not pushdown + source3 = CountingDatasource() + ds3 = ray.data.read_datasource(source3, override_num_blocks=20, n_per_block=10) + ds3 = ds3.filter(lambda x: x["id"] % 2 == 0).limit(3) + result3 = ds3.take_all() + + # Should get correct results + assert len(result3) == 3 + assert result3 == [{"id": i} for i in [0, 2, 4]] + + # Should still scan fewer than total due to early termination + rows_produced_3 = source3.get_rows_produced() + assert rows_produced_3 < 200 + + +def test_limit_pushdown_union(ray_start_regular_shared_2_cpus): + """Test limit pushdown behavior with Union operations.""" + + # Create two datasets and union with limit + ds1 = ray.data.range(100, override_num_blocks=10) + ds2 = ray.data.range(200, override_num_blocks=10) + ds = ds1.union(ds2).limit(5) + + expected_plan = "Read[ReadRange] -> Limit[limit=5], Read[ReadRange] -> Limit[limit=5] -> Union[Union] -> Limit[limit=5]" + _check_valid_plan_and_result(ds, expected_plan, [{"id": i} for i in range(5)]) + + +def test_limit_pushdown_union_with_maprows(ray_start_regular_shared_2_cpus): + """Limit after Union + MapRows: limit should be pushed before the MapRows + and inside each Union branch.""" + ds1 = ray.data.range(100, override_num_blocks=10) + ds2 = ray.data.range(200, override_num_blocks=10) + ds = ds1.union(ds2).map(lambda x: x).limit(5) + + expected_plan = ( + "Read[ReadRange] -> Limit[limit=5], " + "Read[ReadRange] -> Limit[limit=5] -> Union[Union] -> " + "Limit[limit=5] -> MapRows[Map()]" + ) + _check_valid_plan_and_result(ds, expected_plan, [{"id": i} for i in range(5)]) + + +def test_limit_pushdown_union_with_sort(ray_start_regular_shared_2_cpus): + """Limit after Union + Sort: limit must NOT push through the Sort.""" + ds1 = ray.data.range(100, override_num_blocks=4) + ds2 = ray.data.range(50, override_num_blocks=4).map( + lambda x: {"id": x["id"] + 1000} + ) + ds = ds1.union(ds2).sort("id").limit(5) + + expected_plan = ( + "Read[ReadRange], " + "Read[ReadRange] -> MapRows[Map()] -> " + "Union[Union] -> Sort[Sort] -> Limit[limit=5]" + ) + _check_valid_plan_and_result(ds, expected_plan, [{"id": i} for i in range(5)]) + + +def test_limit_pushdown_multiple_unions(ray_start_regular_shared_2_cpus): + """Outer limit over nested unions should create a branch-local limit + for every leaf plus the global one.""" + ds = ( + ray.data.range(100) + .union(ray.data.range(100, override_num_blocks=5)) + .union(ray.data.range(50)) + .limit(5) + ) + + expected_plan = ( + "Read[ReadRange] -> Limit[limit=5], " + "Read[ReadRange] -> Limit[limit=5] -> Union[Union] -> Limit[limit=5], " + "Read[ReadRange] -> Limit[limit=5] -> Union[Union] -> Limit[limit=5]" ) + _check_valid_plan_and_result(ds, expected_plan, [{"id": i} for i in range(5)]) + + +def test_limit_pushdown_union_with_groupby(ray_start_regular_shared_2_cpus): + """Limit after Union + Aggregate: limit should stay after Aggregate.""" + ds1 = ray.data.range(100) + ds2 = ray.data.range(100).map(lambda x: {"id": x["id"] + 1000}) + ds = ds1.union(ds2).groupby("id").count().limit(5) + # Result should contain 5 distinct ids with count == 1. + res = ds.take_all() + # Plan suffix check (no branch limits past Aggregate). + assert ds._plan._logical_plan.dag.dag_str.endswith( + "Union[Union] -> Aggregate[Aggregate] -> Limit[limit=5]" + ) + assert len(res) == 5 and all(r["count()"] == 1 for r in res) + + +def test_limit_pushdown_complex_chain(ray_start_regular_shared_2_cpus): + """ + Complex end-to-end case: + 1. Two branches each with a branch-local Limit pushed to Read. + • left : Project + • right : MapRows + 2. Union of the two branches. + 3. Global Aggregate (groupby/count). + 4. Sort (descending id) – pushes stop here. + 5. Final Limit. + Verifies both plan rewrite and result correctness. + """ + # ── left branch ──────────────────────────────────────────────── + left = ray.data.range(50).select_columns(["id"]).limit(10) + + # ── right branch ─────────────────────────────────────────────── + right = ray.data.range(50).map(lambda x: {"id": x["id"] + 1000}).limit(10) + + # ── union → aggregate → sort → limit ────────────────────────── + ds = left.union(right).groupby("id").count().sort("id", descending=True).limit(3) + + # Expected logical-plan string. + expected_plan = ( + "Read[ReadRange] -> Limit[limit=10] -> Project[Project], " + "Read[ReadRange] -> Limit[limit=10] -> MapRows[Map()] " + "-> Union[Union] -> Aggregate[Aggregate] -> Sort[Sort] -> Limit[limit=3]" + ) + + # Top-3 ids are the three largest (1009, 1008, 1007) with count()==1. + expected_result = [ + {"id": 1009, "count()": 1}, + {"id": 1008, "count()": 1}, + {"id": 1007, "count()": 1}, + ] + + _check_valid_plan_and_result(ds, expected_plan, expected_result) + + +def test_limit_pushdown_union_maps_projects(ray_start_regular_shared_2_cpus): + r""" + Read -> MapBatches -> MapRows -> Project + \ / + -------- Union ------------- → Limit + The limit should be pushed in front of each branch + (past MapRows, Project) while the original + global Limit is preserved after the Union. + """ + # Left branch. + left = ( + ray.data.range(30) + .map_batches(lambda b: b) + .map(lambda r: {"id": r["id"]}) + .select_columns(["id"]) + ) + + # Right branch with shifted ids. + right = ( + ray.data.range(30) + .map_batches(lambda b: b) + .map(lambda r: {"id": r["id"] + 100}) + .select_columns(["id"]) + ) + + ds = left.union(right).limit(3) + + expected_plan = ( + "Read[ReadRange] -> " + "MapBatches[MapBatches()] -> Limit[limit=3] -> MapRows[Map()] -> " + "Project[Project], " + "Read[ReadRange] -> " + "MapBatches[MapBatches()] -> Limit[limit=3] -> MapRows[Map()] -> " + "Project[Project] -> Union[Union] -> Limit[limit=3]" + ) + + expected_result = [{"id": i} for i in range(3)] # First 3 rows from left branch. + + _check_valid_plan_and_result(ds, expected_plan, expected_result) def test_execute_to_legacy_block_list( diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index dd9763a369ef..b17f42bc4096 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -583,7 +583,7 @@ def test_add_column(ray_start_regular_shared): # Test with numpy batch format ds = ray.data.range(5).add_column( - "foo", lambda x: np.array([1] * len(list(x.keys())[0])), batch_format="numpy" + "foo", lambda x: np.array([1] * len(x[list(x.keys())[0]])), batch_format="numpy" ) assert ds.take(1) == [{"id": 0, "foo": 1}] diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index dd925bdf755f..f2a58f1c6bcc 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -924,7 +924,6 @@ def test_pyarrow_conversion_error_handling( # type, but second block carries value that overflows pa.int64 representation, # and column henceforth will be serialized as `ArrowPythonObjectExtensionType` # coercing first block to it as well - # # 2. (Case B) Both blocks carry proper Arrow scalars which, however, have # diverging types and therefore Arrow fails during merging of these blocks # into 1 From 059ac2a21720a19ff38a9c0552c5c025f065977c Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Fri, 25 Jul 2025 14:09:16 -0700 Subject: [PATCH 0352/1566] Fix Misc Ray Serve Tests (#54903) ## Why are these changes needed? Fixed hardcoded URL's with `get_application_urls()`. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: omkar Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_batching.py | 7 ++++--- python/ray/serve/tests/test_http_headers.py | 9 ++++++--- python/ray/serve/tests/test_metrics.py | 6 +++--- python/ray/serve/tests/test_regression.py | 5 +++-- 4 files changed, 16 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/tests/test_batching.py b/python/ray/serve/tests/test_batching.py index 106b8330cd5b..6cf1083d9ff4 100644 --- a/python/ray/serve/tests/test_batching.py +++ b/python/ray/serve/tests/test_batching.py @@ -11,6 +11,7 @@ from ray import serve from ray._common.test_utils import SignalActor, async_wait_for_condition +from ray.serve._private.test_utils import get_application_url from ray.serve.batching import _RuntimeSummaryStatistics @@ -135,7 +136,7 @@ async def __call__(self, request): serve.run(Textgen.bind()) prompt_prefix = "hola" - url = f"http://localhost:8000/?prompt={prompt_prefix}" + url = f"{get_application_url()}/?prompt={prompt_prefix}" with ThreadPoolExecutor() as pool: futs = [pool.submit(partial(httpx.get, url + str(idx))) for idx in range(4)] responses = [fut.result() for fut in futs] @@ -163,7 +164,7 @@ async def __call__(self, request): serve.run(ModelUnary.bind()) - url = "http://localhost:8000/" + url = f"{get_application_url()}/" # Sending requests with clients that drops the connection. for _ in range(3): @@ -287,7 +288,7 @@ async def send_k_requests( await signal_actor.send.remote(True) # type: ignore[attr-defined] async with httpx.AsyncClient() as client: for _ in range(k): - asyncio.create_task(client.get("http://localhost:8000/")) + asyncio.create_task(client.get(f"{get_application_url()}/")) await wait_for_n_waiters( signal_actor, lambda num_waiters: num_waiters >= min_num_batches ) diff --git a/python/ray/serve/tests/test_http_headers.py b/python/ray/serve/tests/test_http_headers.py index f2c1883f8abd..4fbc5d8da13a 100644 --- a/python/ray/serve/tests/test_http_headers.py +++ b/python/ray/serve/tests/test_http_headers.py @@ -12,6 +12,7 @@ import ray from ray import serve from ray.serve._private.constants import SERVE_HTTP_REQUEST_ID_HEADER +from ray.serve._private.test_utils import get_application_url from ray.serve._private.utils import generate_request_id @@ -25,7 +26,7 @@ def __call__(self): return request_id serve.run(Model.bind()) - resp = httpx.get("http://localhost:8000") + resp = httpx.get(f"{get_application_url()}") assert resp.status_code == 200 assert resp.text == resp.headers[SERVE_HTTP_REQUEST_ID_HEADER] @@ -42,7 +43,9 @@ def is_valid_uuid(num: str): class TestUserProvidedRequestIDHeader: def verify_result(self): for header_attr in ["X-Request-ID"]: - resp = httpx.get("http://localhost:8000", headers={header_attr: "123-234"}) + resp = httpx.get( + f"{get_application_url()}", headers={header_attr: "123-234"} + ) assert resp.status_code == 200 assert resp.json() == 1 assert resp.headers[header_attr] == "123-234" @@ -98,7 +101,7 @@ def __call__(self): serve.run(Model.bind()) resp = httpx.get( - "http://localhost:8000", + get_application_url(), headers={ "X-Request-ID": "234", }, diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index bef783d82579..6151d5f84419 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -401,8 +401,8 @@ async def __call__(self, *args): app_name = "app" serve.run(A.bind(), name=app_name) - httpx.get("http://127.0.0.1:8000/A/", timeout=None) - httpx.get("http://127.0.0.1:8000/A/", timeout=None) + httpx.get(f"{get_application_url()}/A/", timeout=None) + httpx.get(f"{get_application_url()}/A/", timeout=None) channel = grpc.insecure_channel("localhost:9000") with pytest.raises(grpc.RpcError): ping_grpc_call_method(channel=channel, app_name=app_name) @@ -461,7 +461,7 @@ def test_proxy_metrics_fields_not_found(metrics_start_shutdown): """Tests the proxy metrics' fields' behavior for not found.""" # Should generate 404 responses - broken_url = "http://127.0.0.1:8000/fake_route" + broken_url = f"{get_application_url()}/fake_route" _ = httpx.get(broken_url).text print("Sent requests to broken URL.") diff --git a/python/ray/serve/tests/test_regression.py b/python/ray/serve/tests/test_regression.py index 1f40088b6db9..81a5f363f7c2 100644 --- a/python/ray/serve/tests/test_regression.py +++ b/python/ray/serve/tests/test_regression.py @@ -12,6 +12,7 @@ from ray import serve from ray._common.test_utils import SignalActor from ray.serve._private.constants import RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD +from ray.serve._private.test_utils import get_application_url from ray.serve.context import _get_global_client from ray.serve.handle import DeploymentHandle @@ -76,7 +77,7 @@ async def __call__(self): cm_d = ComposedModel.bind(sum_d) serve.run(cm_d) - result = httpx.get("http://127.0.0.1:8000/") + result = httpx.get(get_application_url()) assert result.status_code == 200 assert float(result.text) == 100.0 @@ -95,7 +96,7 @@ def gc_unreachable_objects(*args): handle = serve.run(gc_unreachable_objects.bind()) def get_gc_garbage_len_http(): - result = httpx.get("http://127.0.0.1:8000") + result = httpx.get(get_application_url()) assert result.status_code == 200 return result.json() From 5060fa66e1772a77f2b8aa5154375cfaf7f2d8e1 Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Fri, 25 Jul 2025 14:09:45 -0700 Subject: [PATCH 0353/1566] Fix replica sync method tests for Ray Serve (#54882) ## Why are these changes needed? Updating hardcoded urls to `get_application_urls()`. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Omkar Kulkarni Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../tests/test_replica_request_context.py | 22 +++++++++++-------- .../serve/tests/test_replica_sync_methods.py | 7 ++++-- 2 files changed, 18 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/tests/test_replica_request_context.py b/python/ray/serve/tests/test_replica_request_context.py index 7165d23d7b8e..e895ee056d0e 100644 --- a/python/ray/serve/tests/test_replica_request_context.py +++ b/python/ray/serve/tests/test_replica_request_context.py @@ -6,6 +6,7 @@ from fastapi.responses import PlainTextResponse from ray import serve +from ray.serve._private.test_utils import get_application_url from ray.serve.context import _get_serve_request_context @@ -22,15 +23,16 @@ def __call__(self) -> str: # No route prefix, should return "/" regardless of full route. serve.run(A.bind()) - r = httpx.get("http://localhost:8000/") + r = httpx.get(f"{get_application_url()}/") assert r.status_code == 200 assert r.text == "/" - assert httpx.get("http://localhost:8000/subpath").text == "/" + assert httpx.get(f"{get_application_url()}/subpath").text == "/" # Configured route prefix should be set. serve.run(A.bind(), route_prefix="/prefix") - assert httpx.get("http://localhost:8000/prefix").text == "/prefix" - assert httpx.get("http://localhost:8000/prefix/subpath").text == "/prefix" + base_url = get_application_url(exclude_route_prefix=True) + assert httpx.get(f"{base_url}/prefix").text == "/prefix" + assert httpx.get(f"{base_url}/prefix/subpath").text == "/prefix" def test_matching_fastapi_route(self): fastapi_app = FastAPI() @@ -48,20 +50,22 @@ def dynamic(self) -> str: # No route prefix, should return matched fastapi route. serve.run(A.bind()) - assert httpx.get("http://localhost:8000/fastapi-path").text == "/fastapi-path" assert ( - httpx.get("http://localhost:8000/dynamic/abc123").text + httpx.get(f"{get_application_url()}/fastapi-path").text == "/fastapi-path" + ) + assert ( + httpx.get(f"{get_application_url()}/dynamic/abc123").text == "/dynamic/{user_id}" ) # Configured route prefix, should return matched route prefix + fastapi route. serve.run(A.bind(), route_prefix="/prefix") + base_url = get_application_url(exclude_route_prefix=True) assert ( - httpx.get("http://localhost:8000/prefix/fastapi-path").text - == "/prefix/fastapi-path" + httpx.get(f"{base_url}/prefix/fastapi-path").text == "/prefix/fastapi-path" ) assert ( - httpx.get("http://localhost:8000/prefix/dynamic/abc123").text + httpx.get(f"{base_url}/prefix/dynamic/abc123").text == "/prefix/dynamic/{user_id}" ) diff --git a/python/ray/serve/tests/test_replica_sync_methods.py b/python/ray/serve/tests/test_replica_sync_methods.py index 1ceeae2915cf..13b8b8fab954 100644 --- a/python/ray/serve/tests/test_replica_sync_methods.py +++ b/python/ray/serve/tests/test_replica_sync_methods.py @@ -11,6 +11,7 @@ from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.constants import RAY_SERVE_RUN_SYNC_IN_THREADPOOL +from ray.serve._private.test_utils import get_application_url @pytest.mark.skipif( @@ -40,7 +41,8 @@ def __call__(self) -> str: serve.run(D.bind()) # Would error if the check fails. - httpx.get("http://localhost:8000/").raise_for_status() + base_url = get_application_url() + httpx.get(f"{base_url}/").raise_for_status() @pytest.mark.skipif( @@ -97,7 +99,8 @@ def __call__(self) -> str: serve.run(D.bind()) - r = httpx.get("http://localhost:8000/", headers={"X-Request-Id": "TEST-ID"}) + base_url = get_application_url() + r = httpx.get(f"{base_url}/", headers={"X-Request-Id": "TEST-ID"}) r.raise_for_status() # If context vars weren't propagated, the request ID would be empty. assert r.text == "TEST-ID" From 74cb48cb5f6f94afb1d74956f4f82cca6dcdc3c0 Mon Sep 17 00:00:00 2001 From: Michael Acar Date: Fri, 25 Jul 2025 17:11:30 -0400 Subject: [PATCH 0354/1566] [core][bug] Fix infinite loop on E2BIG error when spawning a process (#54838) This resolves the issue described in #47432 where the raylet process will keep unsuccessfully trying to spawn a process if it hits a `E2BIG` error. This manifests as jobs stuck in a `Pending` state forever with no clear logging as to what is happening. This happens when the configured `runtime_env` is too big. This PR makes it so that creating a job with a `runtime_env` that is too big fails immediately with an error message of `E2BIG error occurred when starting worker process. Worker command arguments likely too long.` in `raylet.out`. ### Reproduction Script ```python import ray import os import time print("Starting Ray to reproduce E2BIG error...") # 1. Define a massive dictionary of environment variables. large_env_vars = { "MY_HUGE_VAR": "X" * 4096 * 100 } # 2. Initialize Ray with this huge runtime_env. # This doesn't trigger the error yet. The runtime_env is just registered. ray.init( runtime_env={"env_vars": large_env_vars} ) print("Ray initialized. Defining and calling a remote task...") # 3. Define a simple remote function. # When we call this function, Ray will try to start a new worker. @ray.remote def my_task(): # We can check if one of the vars is present to confirm success. return f"Successfully accessed env var: {os.environ.get('MY_HUGE_VAR', 'NOT_FOUND')}" # 4. Trigger the worker creation process. # This is the step that will fail because the execve call for the new # worker process will have an argument list that is too long. try: print("Calling remote task. This may hang or fail if the error is reproduced.") future = my_task.remote() result = ray.get(future, timeout=None) print(f"SUCCESS! Task completed with result: {result}") except Exception as e: print(f"\nCaught an exception, likely due to worker startup failure: {e}") print("Script finished. Check the raylet logs or use strace to confirm the E2BIG error.") ray.shutdown() ``` ### Detailed Write-Up Unfortunately, I ran into #47432 in the wild and went through the whole process of debugging it before I saw that that issue existed. :( As stated, this shows up as a job stuck in the `Pending` state forever. As best as I can tell, the only real telemetry or logging that shows anything happening at all in this case is the `runtime_env_agent.log` showing the runtime env continually get created and destroyed in an infinite loop. As in the description in #47432, I needed to `strace` the Raylet process and saw that it was trying to `execve` in a loop and was getting `E2BIG (Argument list too long)` error every single time. Therefore, the fundamental idea of this PR is to bubble up this error all the way from the `StartProcess` call in `worker_pool.cc` to the `PoppedWorkerHandler` in `local_task_manager.cc` so that the local task manager can detect this error and not retry. This part of the change was reasonably straightforward. Unfortunately, this revealed another bug with how error codes are propagated between parent processes and child processes in the `spawnvpe` function in `process.cc`. #### The `process.cc` Bug: A Startup Race Condition When creating a new "decoupled" worker process on Unix-like systems, Ray uses a standard **"double fork"** technique. The raylet forks a child, which immediately forks a grandchild (the actual worker) and then exits. This orphans the grandchild, which is then adopted by the system's `init` process. This ensures the worker can outlive its immediate parent. The bug was in how the raylet (the original parent) confirmed that the grandchild worker started successfully. The old implementation worked like this: 1. Raylet creates a pipe. 2. The grandchild process writes its Process ID (PID) back to the raylet through the pipe. 3. The grandchild then calls `execve` to become the actual worker program. The raylet **assumed the launch was successful as soon as it received the PID**. However, this confirmation happened *before* the grandchild actually tried to run `execve`. If the `execve` call failed (as it does with `E2BIG`), the grandchild would simply exit, but the raylet would never know about this failure. Concretely, this meant that the error code associated with the `StartProcess` call in `worker_pool.cc` would be `0` despite it actually failing. #### The Fix: A Robust Communication Protocol This PR fixes the race condition by introducing a much more robust communication protocol using a dedicated **"status pipe"** and the **`close-on-exec`** flag. 1. A "status pipe" is created solely for reporting the status of the launch. 2. The child process sets the `FD_CLOEXEC` (`close-on-exec`) flag on its end of this pipe. This is the crucial part of the fix: * **If `execve` succeeds**, the operating system automatically closes the child's end of the pipe. The parent sees this as an "end-of-file" (EOF) and knows with certainty that the launch was successful. * **If `execve` fails**, the code after the `execve` call runs. This code now explicitly writes the system `errno` (e.g., `E2BIG`) into the pipe before the child exits. The parent reads this error code and knows the exact reason for the launch failure. With this fix in `process.cc`, `execve` failures are now correctly propagated back to the `StartProcess` call. The correct error code is now set. The `E2BIG` error is no longer lost and is correctly bubbled up to the `LocalTaskManager`, which can now fail the task submission and prevent the infinite retry loop. The user now gets an immediate and clear error message instead of a mysteriously pending job. Closes #47432 --------- Signed-off-by: Michael Acar Signed-off-by: Douglas Strodtman --- python/ray/tests/test_runtime_env.py | 29 ++++ src/ray/raylet/local_task_manager.cc | 10 +- src/ray/raylet/worker_pool.cc | 59 ++++--- src/ray/raylet/worker_pool.h | 25 +-- src/ray/raylet/worker_pool_test.cc | 13 +- src/ray/util/process.cc | 233 ++++++++++++++++++--------- 6 files changed, 257 insertions(+), 112 deletions(-) diff --git a/python/ray/tests/test_runtime_env.py b/python/ray/tests/test_runtime_env.py index 5a189ea66f03..6f8249159a3e 100644 --- a/python/ray/tests/test_runtime_env.py +++ b/python/ray/tests/test_runtime_env.py @@ -9,6 +9,7 @@ import pytest import ray +from ray.exceptions import RuntimeEnvSetupError from ray.runtime_env import RuntimeEnv, RuntimeEnvConfig @@ -167,5 +168,33 @@ def run(runtime_env): run(runtime_env) +@pytest.mark.skipif( + sys.platform != "linux", + reason="The process spawning and error code passing behavior is Linux-specific", +) +def test_large_runtime_env_fails_fast(start_cluster_shared): + """ + Tests that a task with a runtime_env that is too large fails quickly + instead of hanging. This is a regression test for GitHub issue #47432. + """ + cluster, address = start_cluster_shared + ray.init(address) + + # Create a runtime_env with a very large environment variable to trigger + # a E2BIG error. + large_env_vars = {"MY_HUGE_VAR": "X" * 4096 * 100} + runtime_env = {"env_vars": large_env_vars} + + @ray.remote + def f(): + # This code should not be reached. + return 1 + + # The E2BIG error from the raylet is propagated to the + # driver, which should raise a RuntimeEnvSetupError. + with pytest.raises(RuntimeEnvSetupError, match="Worker command arguments too long"): + ray.get(f.options(runtime_env=runtime_env).remote()) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/raylet/local_task_manager.cc b/src/ray/raylet/local_task_manager.cc index 44be7658d3d9..4e0894e909a2 100644 --- a/src/ray/raylet/local_task_manager.cc +++ b/src/ray/raylet/local_task_manager.cc @@ -606,11 +606,11 @@ bool LocalTaskManager::PoppedWorkerHandler( << "This node has available resources, but no worker processes " "to grant the lease: status " << status; - if (status == PopWorkerStatus::RuntimeEnvCreationFailed) { - // In case of runtime env creation failed, we cancel this task - // directly and raise a `RuntimeEnvSetupError` exception to user - // eventually. The task will be removed from dispatch queue in - // `CancelTask`. + if (status == PopWorkerStatus::RuntimeEnvCreationFailed || + status == PopWorkerStatus::ArgumentListTooLong) { + // In case of runtime env creation or worker startup failure, we cancel this task + // directly and raise an exception to user eventually. The task will be removed + // from the dispatch queue in `CancelTask`. CancelTasks( [task_id](const auto &work) { return task_id == work->task.GetTaskSpecification().TaskId(); diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index c8e539f265e0..35d7c1843177 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -210,26 +210,31 @@ void WorkerPool::SetRuntimeEnvAgentClient( runtime_env_agent_client_ = std::move(runtime_env_agent_client); } -void WorkerPool::PopWorkerCallbackAsync(PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status) { - // This method shouldn't be invoked when runtime env creation has failed because - // when runtime env is failed to be created, they are all - // invoking the callback immediately. - RAY_CHECK(status != PopWorkerStatus::RuntimeEnvCreationFailed); +void WorkerPool::PopWorkerCallbackAsync( + PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status, + const std::string &runtime_env_setup_error_message) { // Call back this function asynchronously to make sure executed in different stack. io_service_->post( - [this, callback = std::move(callback), worker = std::move(worker), status]() { - PopWorkerCallbackInternal(callback, worker, status); + [this, + callback = std::move(callback), + worker = std::move(worker), + status, + runtime_env_setup_error_message]() { + PopWorkerCallbackInternal( + callback, worker, status, runtime_env_setup_error_message); }, "WorkerPool.PopWorkerCallback"); } -void WorkerPool::PopWorkerCallbackInternal(const PopWorkerCallback &callback, - std::shared_ptr worker, - PopWorkerStatus status) { +void WorkerPool::PopWorkerCallbackInternal( + const PopWorkerCallback &callback, + std::shared_ptr worker, + PopWorkerStatus status, + const std::string &runtime_env_setup_error_message) { RAY_CHECK(callback); - auto used = callback(worker, status, /*runtime_env_setup_error_message=*/""); + auto used = callback(worker, status, runtime_env_setup_error_message); if (worker && !used) { // The invalid worker not used, restore it to worker pool. PushWorker(worker); @@ -521,8 +526,16 @@ std::tuple WorkerPool::StartWorkerProcess( state); auto start = std::chrono::high_resolution_clock::now(); + std::error_code ec; // Start a process and measure the startup time. - Process proc = StartProcess(worker_command_args, env); + Process proc = StartProcess(worker_command_args, env, ec); + if (ec) { + RAY_CHECK(ec.value() == E2BIG); + RAY_LOG(WARNING) << "E2BIG error occurred when starting worker process. Worker " + "command arguments likely too long."; + *status = PopWorkerStatus::ArgumentListTooLong; + return {Process(), (StartupToken)-1}; + } stats::NumWorkersStarted.Record(1); RAY_LOG(INFO) << "Started worker process with pid " << proc.GetId() << ", the token is " << worker_startup_token_counter_; @@ -634,7 +647,8 @@ void WorkerPool::MonitorPopWorkerRequestForRegistration( } Process WorkerPool::StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env) { + const ProcessEnvironment &env, + std::error_code &ec) { if (RAY_LOG_ENABLED(DEBUG)) { std::string debug_info; debug_info.append("Starting worker process with command:"); @@ -658,7 +672,6 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ } // Launch the process to create the worker. - std::error_code ec; std::vector argv; for (const std::string &arg : worker_command_args) { argv.push_back(arg.c_str()); @@ -667,8 +680,10 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ Process child(argv.data(), io_service_, ec, /*decouple=*/false, env); if (!child.IsValid() || ec) { - // errorcode 24: Too many files. This is caused by ulimit. - if (ec.value() == 24) { + if (ec.value() == E2BIG) { + // Do nothing here; the error code `ec` will be propagated to the caller. + } else if (ec.value() == 24) { + // errorcode 24: Too many files. This is caused by ulimit. RAY_LOG(FATAL) << "Too many workers, failed to create a file. Try setting " << "`ulimit -n ` then restart Ray."; } else { @@ -1323,7 +1338,13 @@ void WorkerPool::StartNewWorker( state.pending_start_requests.emplace_back(std::move(pop_worker_request)); } else { DeleteRuntimeEnvIfPossible(serialized_runtime_env); - PopWorkerCallbackAsync(std::move(pop_worker_request->callback), nullptr, status); + // If we failed due to E2BIG, we provide a more specific error message. + const std::string error_msg = (status == PopWorkerStatus::ArgumentListTooLong) + ? "Worker command arguments too long. This can " + "be caused by a large runtime environment." + : ""; + PopWorkerCallbackAsync( + std::move(pop_worker_request->callback), nullptr, status, error_msg); } }; diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 3b394e3e4b88..a1913973c577 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -51,24 +51,23 @@ using WorkerCommandMap = enum PopWorkerStatus { // OK. - // A registered worker will be returned with callback. OK = 0, // Job config is not found. - // A nullptr worker will be returned with callback. JobConfigMissing = 1, // Worker process startup rate is limited. - // A nullptr worker will be returned with callback. TooManyStartingWorkerProcesses = 2, // Worker process has been started, but the worker did not register at the raylet within // the timeout. - // A nullptr worker will be returned with callback. WorkerPendingRegistration = 3, // Any fails of runtime env creation. - // A nullptr worker will be returned with callback. RuntimeEnvCreationFailed = 4, // The task's job has finished. - // A nullptr worker will be returned with callback. JobFinished = 5, + // The worker process failed to launch because the OS returned an `E2BIG` + // (Argument list too long) error. This typically occurs when a `runtime_env` + // is so large that its serialized context exceeds the kernel's command-line + // argument size limit. + ArgumentListTooLong = 6, }; /// \param[in] worker The started worker instance. Nullptr if worker is not started. @@ -597,7 +596,8 @@ class WorkerPool : public WorkerPoolInterface { /// the environment variables of the parent process. /// \return An object representing the started worker process. virtual Process StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env); + const ProcessEnvironment &env, + std::error_code &ec); /// Push an warning message to user if worker pool is getting to big. virtual void WarnAboutSize(); @@ -605,7 +605,8 @@ class WorkerPool : public WorkerPoolInterface { /// Make this synchronized function for unit test. void PopWorkerCallbackInternal(const PopWorkerCallback &callback, std::shared_ptr worker, - PopWorkerStatus status); + PopWorkerStatus status, + const std::string &runtime_env_setup_error_message); /// Look up worker's dynamic options by startup token. /// TODO(scv119): replace dynamic options by runtime_env. @@ -772,9 +773,11 @@ class WorkerPool : public WorkerPoolInterface { /// Call the `PopWorkerCallback` function asynchronously to make sure executed in /// different stack. - virtual void PopWorkerCallbackAsync(PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status); + virtual void PopWorkerCallbackAsync( + PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status, + const std::string &runtime_env_setup_error_message = ""); /// We manage all runtime env resources locally by the two methods: /// `GetOrCreateRuntimeEnv` and `DeleteRuntimeEnvIfPossible`. diff --git a/src/ray/raylet/worker_pool_test.cc b/src/ray/raylet/worker_pool_test.cc index 4590780c8cd4..76455f6287d1 100644 --- a/src/ray/raylet/worker_pool_test.cc +++ b/src/ray/raylet/worker_pool_test.cc @@ -169,14 +169,17 @@ class WorkerPoolMock : public WorkerPool { using WorkerPool::PopWorkerCallbackInternal; // Mock `PopWorkerCallbackAsync` to synchronized function. - void PopWorkerCallbackAsync(PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status = PopWorkerStatus::OK) override { - PopWorkerCallbackInternal(callback, worker, status); + void PopWorkerCallbackAsync( + PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status, + const std::string &runtime_env_setup_error_message = "") override { + PopWorkerCallbackInternal(callback, worker, status, runtime_env_setup_error_message); } Process StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env) override { + const ProcessEnvironment &env, + std::error_code &ec) override { // Use a bogus process ID that won't conflict with those in the system auto pid = static_cast(PID_MAX_LIMIT + 1 + worker_commands_by_proc_.size()); last_worker_process_ = Process::FromPid(pid); diff --git a/src/ray/util/process.cc b/src/ray/util/process.cc index 3412b2d5f902..2fb7792a152c 100644 --- a/src/ray/util/process.cc +++ b/src/ray/util/process.cc @@ -80,6 +80,30 @@ void SetFdCloseOnExec(int fd) { RAY_CHECK_NE(ret, -1) << "fcntl error: errno = " << errno << ", fd = " << fd; RAY_LOG(DEBUG) << "set FD_CLOEXEC to fd " << fd; } + +// A helper function to robustly read a specific number of bytes from a file descriptor. +// This handles partial reads and interruptions by signals. +static inline ssize_t ReadBytesFromFd(int fd, void *buffer, size_t count) { + ssize_t total_bytes_read = 0; + while (total_bytes_read < (ssize_t)count) { + ssize_t bytes_read = read(fd, + reinterpret_cast(buffer) + total_bytes_read, + count - total_bytes_read); + if (bytes_read == 0) { + // EOF reached before all bytes were read. + return total_bytes_read; + } + if (bytes_read == -1) { + if (errno == EINTR) { + continue; // Interrupted by signal, retry. + } else { + return -1; // A real read error occurred. + } + } + total_bytes_read += bytes_read; + } + return total_bytes_read; +} #endif bool EnvironmentVariableLess::operator()(char a, char b) const { @@ -124,7 +148,6 @@ class ProcessFD { const ProcessEnvironment &env, bool pipe_to_stdin) { ec = std::error_code(); - intptr_t fd; pid_t pid; ProcessEnvironment new_env; for (char *const *e = environ; *e; ++e) { @@ -142,6 +165,7 @@ class ProcessFD { } #ifdef _WIN32 + intptr_t fd; (void)decouple; // Windows doesn't require anything particular for decoupling. std::vector args; for (size_t i = 0; argv[i]; ++i) { @@ -189,96 +213,161 @@ class ProcessFD { new_env_ptrs.push_back(static_cast(NULL)); char **envp = &new_env_ptrs[0]; - // TODO(mehrdadn): Use clone() on Linux or posix_spawnp() on Mac to avoid duplicating - // file descriptors into the child process, as that can be problematic. - int pipefds[2]; // Create pipe to get PID & track lifetime - int parent_lifetime_pipe[2]; - - // Create pipes to health check parent <> child. - // pipefds is used for parent to check child's health. - if (pipe(pipefds) == -1) { - pipefds[0] = pipefds[1] = -1; + intptr_t fd = -1; + // Pipe for getting startup status (PID and potential errno) from the child. + int status_pipe[2]; + if (pipe(status_pipe) == -1) { + ec = std::error_code(errno, std::system_category()); + return ProcessFD(-1, -1); } - // parent_lifetime_pipe is used for child to check parent's health. + + // Pipe for parent lifetime tracking, connected to child's stdin. + int parent_lifetime_pipe[2] = {-1, -1}; if (pipe_to_stdin) { if (pipe(parent_lifetime_pipe) == -1) { - parent_lifetime_pipe[0] = parent_lifetime_pipe[1] = -1; + close(status_pipe[0]); + close(status_pipe[1]); + ec = std::error_code(errno, std::system_category()); + return ProcessFD(-1, -1); } } - pid = pipefds[1] != -1 ? fork() : -1; + pid = fork(); - // If we don't pipe to stdin close pipes that are not needed. - if (pid <= 0 && pipefds[0] != -1) { - close(pipefds[0]); // not the parent, so close the read end of the pipe - pipefds[0] = -1; - } - if (pid != 0 && pipefds[1] != -1) { - close(pipefds[1]); // not the child, so close the write end of the pipe - pipefds[1] = -1; - // make sure the read end of the pipe is closed on exec - SetFdCloseOnExec(pipefds[0]); - } + if (pid == 0) { + // --- Child Process (or Intermediate Process if decoupled) --- + close(status_pipe[0]); // Child only writes to the status pipe. + if (pipe_to_stdin) { + close(parent_lifetime_pipe[1]); // Child only reads from the lifetime pipe. + } - // Create a pipe and redirect the read pipe to a child's stdin. - // Child can use it to detect the parent's lifetime. - // See the below link for details. - // https://stackoverflow.com/questions/12193581/detect-death-of-parent-process - if (pipe_to_stdin) { - if (pid <= 0 && parent_lifetime_pipe[1] != -1) { - // Child. Close sthe write end of the pipe from child. - close(parent_lifetime_pipe[1]); - parent_lifetime_pipe[1] = -1; - SetFdCloseOnExec(parent_lifetime_pipe[0]); + signal(SIGCHLD, SIG_DFL); + + if (decouple) { + if (fork() != 0) { + // --- Intermediate Parent --- + // This process must close ALL inherited pipe FDs before exiting + // to prevent leaking them to the grandchild or holding pipes open. + close(status_pipe[1]); + if (pipe_to_stdin) { + close(parent_lifetime_pipe[0]); + } + _exit(0); + } } - if (pid != 0 && parent_lifetime_pipe[0] != -1) { - // Parent. Close the read end of the pipe. + + // --- Grandchild (if decoupled) or Direct Child (if not) --- + if (pipe_to_stdin) { + if (dup2(parent_lifetime_pipe[0], STDIN_FILENO) == -1) { + _exit(errno); + } + // After dup2, this original FD is no longer needed. close(parent_lifetime_pipe[0]); - parent_lifetime_pipe[0] = -1; - // Make sure the write end of the pipe is closed on exec. - SetFdCloseOnExec(parent_lifetime_pipe[1]); } - } else { - // parent_lifetime_pipe pipes are not used. - parent_lifetime_pipe[0] = -1; - parent_lifetime_pipe[1] = -1; - } - if (pid == 0) { - // Child process case. Reset the SIGCHLD handler. - signal(SIGCHLD, SIG_DFL); - // If process needs to be decoupled, double-fork to avoid zombies. - if (pid_t pid2 = decouple ? fork() : 0) { - _exit(pid2 == -1 ? errno : 0); // Parent of grandchild; must exit + // If execve succeeds, this FD will be closed automatically. + if (!decouple) { + // Only set FD_CLOEXEC in the non-decouple case + SetFdCloseOnExec(status_pipe[1]); } - // Redirect the read pipe to stdin so that child can track the - // parent lifetime. - if (parent_lifetime_pipe[0] != -1) { - dup2(parent_lifetime_pipe[0], STDIN_FILENO); + if (decouple) { + pid_t my_pid = getpid(); + if (write(status_pipe[1], &my_pid, sizeof(my_pid)) != sizeof(my_pid)) { + _exit(errno); + } } - // This is the spawned process. Any intermediate parent is now dead. - pid_t my_pid = getpid(); - if (write(pipefds[1], &my_pid, sizeof(my_pid)) == sizeof(my_pid)) { - execvpe( - argv[0], const_cast(argv), const_cast(envp)); + execvpe(argv[0], const_cast(argv), const_cast(envp)); + + // If execvpe returns, an error occurred. Write errno to the pipe. + int err = errno; + (void)!write(status_pipe[1], &err, sizeof(err)); + _exit(err); + + } else if (pid > 0) { + // --- Parent Process --- + close(status_pipe[1]); // Parent only reads from the status pipe. + if (pipe_to_stdin) { + close(parent_lifetime_pipe[0]); // Parent only writes to the lifetime pipe. } - _exit(errno); // fork() succeeded and exec() failed, so abort the child - } - if (pid > 0) { - // Parent process case - if (decouple) { - int s; - (void)waitpid(pid, &s, 0); // can't do much if this fails, so ignore return value - int r = read(pipefds[0], &pid, sizeof(pid)); - (void)r; // can't do much if this fails, so ignore return value + + if (!decouple) { + // Simple case for non-decoupled process + int err_from_child; + ssize_t bytes_read = + ReadBytesFromFd(status_pipe[0], &err_from_child, sizeof(err_from_child)); + if (bytes_read == 0) { + // Success: exec'd, pipe closed by CLOEXEC. + ec = std::error_code(); + } else { + // Failure: got an error from child or pipe broke. + if (bytes_read == sizeof(err_from_child)) { + // We received a full error code from the child. + ec = std::error_code(err_from_child, std::system_category()); + } else { + // The pipe was closed before we could read the full error. + // This can happen if the child crashes. + // If read() returned an error, use that errno. Otherwise, use EPIPE. + ec = std::error_code(bytes_read < 0 ? errno : EPIPE, std::system_category()); + } + while (waitpid(pid, NULL, 0) == -1 && errno == EINTR) { + continue; + } + pid = -1; + } + close(status_pipe[0]); + } else { + while (waitpid(pid, NULL, 0) == -1 && errno == EINTR) { + continue; + } + + // Read the grandchild's PID from the pipe. + ssize_t bytes_read_pid = ReadBytesFromFd(status_pipe[0], &pid, sizeof(pid)); + if (bytes_read_pid != sizeof(pid)) { + // If we can't get the PID, it's a startup failure. + ec = std::error_code(ECHILD, std::system_category()); + pid = -1; + close(status_pipe[0]); + } else { + // We got the PID. Now, do a NON-BLOCKING read to check for an exec error. + int flags = fcntl(status_pipe[0], F_GETFL, 0); + fcntl(status_pipe[0], F_SETFL, flags | O_NONBLOCK); + int exec_errno = 0; + ssize_t bytes_read_errno = + read(status_pipe[0], &exec_errno, sizeof(exec_errno)); + fcntl(status_pipe[0], F_SETFL, flags); // Restore original flags. + + if (bytes_read_errno == sizeof(exec_errno)) { + // We got an error code back. Launch failed. + ec = std::error_code(exec_errno, std::system_category()); + pid = -1; + close(status_pipe[0]); + } else { + // No error code was present. Launch was successful. + // For backward compatibility with tests, we need to keep the pipe + // open but NOT mark it with FD_CLOEXEC, so that child processes + // inherit it and it stays open until all descendants exit. + ec = std::error_code(); + fd = status_pipe[0]; + + // Remove the FD_CLOEXEC flag that was set earlier + flags = fcntl(fd, F_GETFD, 0); + if (flags != -1) { + fcntl(fd, F_SETFD, flags & ~FD_CLOEXEC); + } + } + } } - } - // Use pipe to track process lifetime. (The pipe closes when process terminates.) - fd = pipefds[0]; - if (pid == -1) { + } else { + // --- Fork Failed --- ec = std::error_code(errno, std::system_category()); + close(status_pipe[0]); + close(status_pipe[1]); + if (pipe_to_stdin) { + close(parent_lifetime_pipe[0]); + close(parent_lifetime_pipe[1]); + } } #endif return ProcessFD(pid, fd); From 4710c5ab24174085344f50af189675223e800027 Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Fri, 25 Jul 2025 14:22:06 -0700 Subject: [PATCH 0355/1566] Fix CLI tests for Ray Serve (#54877) ## Why are these changes needed? Updated CLI test to use `get_application_url()`. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Omkar Kulkarni Signed-off-by: omkar Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_cli.py | 48 +++++++++++++------ .../serve/tests/test_controller_recovery.py | 4 +- 2 files changed, 36 insertions(+), 16 deletions(-) diff --git a/python/ray/serve/tests/test_cli.py b/python/ray/serve/tests/test_cli.py index 8394b27e5528..d08ad759754e 100644 --- a/python/ray/serve/tests/test_cli.py +++ b/python/ray/serve/tests/test_cli.py @@ -14,6 +14,7 @@ from ray._common.test_utils import wait_for_condition from ray.serve._private.common import DeploymentID from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve._private.test_utils import get_application_url from ray.serve.scripts import remove_ansi_escape_sequences from ray.util.state import list_actors @@ -29,8 +30,13 @@ def assert_deployments_live(ids: List[DeploymentID]): assert any(prefix in actor_name for actor_name in running_actor_names), msg -def check_http_response(expected_text: str, json: Optional[Dict] = None): - resp = httpx.post("http://localhost:8000/", json=json) +def check_http_response( + expected_text: str, + json: Optional[Dict] = None, + app_name: str = SERVE_DEFAULT_APP_NAME, +): + url = get_application_url(app_name=app_name) + resp = httpx.post(f"{url}/", json=json) assert resp.text == expected_text return True @@ -135,23 +141,31 @@ def test_deploy_multi_app_basic(serve_instance): # Test add and mul for each of the two apps wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["ADD", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app1')}", json=["ADD", 2] + ).text == "3 pizzas please!", timeout=15, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1", json=["MUL", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app1')}", json=["MUL", 2] + ).text == "2 pizzas please!", timeout=15, ) print('Application "app1" is reachable over HTTP.') wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app2')}", json=["ADD", 2] + ).text == "5 pizzas please!", timeout=15, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["MUL", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app2')}", json=["MUL", 2] + ).text == "4 pizzas please!", timeout=15, ) @@ -175,17 +189,22 @@ def test_deploy_multi_app_basic(serve_instance): # Test app1 (simple wonderful world) and app2 (add + mul) wait_for_condition( - lambda: httpx.post("http://localhost:8000/app1").text == "wonderful world", + lambda: httpx.post(f"{get_application_url(app_name='app1')}").text + == "wonderful world", timeout=15, ) print('Application "app1" is reachable over HTTP.') wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["ADD", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app2')}", json=["ADD", 2] + ).text == "12 pizzas please!", timeout=15, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/app2", json=["MUL", 2]).text + lambda: httpx.post( + f"{get_application_url(app_name='app2')}", json=["MUL", 2] + ).text == "20 pizzas please!", timeout=15, ) @@ -267,22 +286,23 @@ def test_deploy_multi_app_builder_with_args(serve_instance): subprocess.check_output(["serve", "deploy", apps_with_args]) wait_for_condition( - lambda: httpx.post("http://localhost:8000/untyped_default").text == "DEFAULT", + lambda: httpx.post(f"{get_application_url()}/untyped_default").text + == "DEFAULT", timeout=10, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/untyped_hello").text == "hello", + lambda: httpx.post(f"{get_application_url()}/untyped_hello").text == "hello", timeout=10, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/typed_default").text == "DEFAULT", + lambda: httpx.post(f"{get_application_url()}/typed_default").text == "DEFAULT", timeout=10, ) wait_for_condition( - lambda: httpx.post("http://localhost:8000/typed_hello").text == "hello", + lambda: httpx.post(f"{get_application_url()}/typed_hello").text == "hello", timeout=10, ) @@ -750,7 +770,7 @@ def test_deployment_contains_utils(serve_instance): subprocess.check_output(["serve", "deploy", config_file], stderr=subprocess.STDOUT) wait_for_condition( - lambda: httpx.post("http://localhost:8000/").text == "hello_from_utils" + lambda: httpx.post(f"{get_application_url()}/").text == "hello_from_utils" ) diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index 95d38d796077..b5cbf0af1637 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -474,7 +474,7 @@ def check_proxy_handle_in_controller(): proxy_handle = list(proxy_handles.values())[0] file_path = ray.get(proxy_handle._get_logging_config.remote()) # Send request, we should see json logging and debug log message in proxy log. - resp = httpx.get("http://127.0.0.1:8000") + resp = httpx.get("http://localhost:8000") assert resp.status_code == 200 wait_for_condition( check_log_file, log_file=file_path, expected_regex=['.*"message":.*GET / 200.*'] @@ -506,7 +506,7 @@ def test_controller_recover_and_deploy(serve_instance): # When controller restarts, it should redeploy config automatically wait_for_condition( - lambda: httpx.get("http://localhost:8000/").text == "hello world" + lambda: httpx.get(f"{get_application_url()}/").text == "hello world" ) From f3b456266d3b3550b64a201a7df137b1026bf72e Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 25 Jul 2025 14:55:03 -0700 Subject: [PATCH 0356/1566] [ci] raydepsets: subset operation (#54602) Adding subset operation to raydepsets Accepts existing dependency set and requirement files Checks whether the requirement files are a subset of the existing dependency set requirement files Subsets the existing dependency set using the requirement files --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 36 +++++++- ci/raydepsets/depset.config.yaml | 6 ++ ci/raydepsets/test_cli.py | 101 ++++++++++++++++++++++- ci/raydepsets/test_data/test.config.yaml | 7 +- ci/raydepsets/workspace.py | 4 +- requirements_compiled_subset_general.txt | 12 +++ 6 files changed, 160 insertions(+), 6 deletions(-) create mode 100644 requirements_compiled_subset_general.txt diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 92cd9c6f0300..364764e9da4a 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -77,7 +77,15 @@ def execute_single(self, depset: Depset): name=depset.name, output=depset.output, ) - click.echo(f"Dependency set {depset.name} compiled successfully") + elif depset.operation == "subset": + self.subset( + source_depset=depset.source_depset, + requirements=depset.requirements, + args=DEFAULT_UV_FLAGS.copy(), + name=depset.name, + output=depset.output, + ) + click.echo(f"Dependency set {depset.name} compiled successfully") def compile( self, @@ -98,9 +106,35 @@ def compile( args.extend(["-o", self.get_path(output)]) self.exec_uv_cmd("compile", args) + def subset( + self, + source_depset: str, + requirements: List[str], + args: List[str], + name: str, + output: str = None, + ): + """Subset a dependency set.""" + source_depset = self.get_depset(source_depset) + self.check_subset_exists(source_depset, requirements) + self.compile( + constraints=[source_depset.output], + requirements=requirements, + args=args, + name=name, + output=output, + ) + def get_path(self, path: str) -> str: return (Path(self.workspace.dir) / path).as_posix() + def check_subset_exists(self, source_depset: Depset, requirements: List[str]): + for req in requirements: + if req not in source_depset.requirements: + raise RuntimeError( + f"Requirement {req} is not a subset of {source_depset.name}" + ) + def uv_binary(): r = runfiles.Create() diff --git a/ci/raydepsets/depset.config.yaml b/ci/raydepsets/depset.config.yaml index fe8d1fce7d5c..03e205d065ce 100644 --- a/ci/raydepsets/depset.config.yaml +++ b/ci/raydepsets/depset.config.yaml @@ -13,3 +13,9 @@ depsets: requirements: - python/requirements.txt output: python/test/requirements_compiled_general_py311_cpu.txt + - name: subset_general_depset + operation: subset + source_depset: general_depset + requirements: + - ci/raydepsets/cloud-requirements.txt + output: python/test/requirements_compiled_subset_general_py311_cpu.txt diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 31bf1185d653..3cab9ca6f91e 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -5,11 +5,16 @@ import subprocess import shutil import runfiles -from ci.raydepsets.cli import load, DependencySetManager, uv_binary +from ci.raydepsets.cli import ( + load, + DependencySetManager, + uv_binary, + Depset, + DEFAULT_UV_FLAGS, +) from ci.raydepsets.workspace import Workspace from click.testing import CliRunner from pathlib import Path -from ci.raydepsets.cli import DEFAULT_UV_FLAGS _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() @@ -157,6 +162,90 @@ def test_compile_by_depset_name(self): in result.output ) + def test_subset(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + # Add six to requirements_test_subset.txt + _save_packages_to_file( + Path(tmpdir) / "requirements_test_subset.txt", + ["six==1.16.0"], + ) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + # Compile general_depset with requirements_test.txt and requirements_test_subset.txt + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt", "requirements_test_subset.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="general_depset", + output="requirements_compiled_general.txt", + ) + # Subset general_depset with requirements_test.txt (should lock emoji & pyperclip) + manager.subset( + source_depset="general_depset", + requirements=["requirements_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="subset_general_depset", + output="requirements_compiled_subset_general.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled_subset_general.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test.txt" + output_text_valid = output_file_valid.read_text() + + assert output_text == output_text_valid + + def test_subset_does_not_exist(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + # Add six to requirements_test_subset.txt + _save_packages_to_file( + Path(tmpdir) / "requirements_test_subset.txt", + ["six==1.16.0"], + ) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt", "requirements_test_subset.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="general_depset", + output="requirements_compiled_general.txt", + ) + + with self.assertRaises(RuntimeError): + manager.subset( + source_depset="general_depset", + requirements=["requirements_compiled_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="subset_general_depset", + output="requirements_compiled_subset_general.txt", + ) + + def test_check_if_subset_exists(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + source_depset = Depset( + name="general_depset", + operation="compile", + requirements=["requirements_1.txt", "requirements_2.txt"], + constraints=["requirement_constraints_1.txt"], + output="requirements_compiled_general.txt", + ) + with self.assertRaises(RuntimeError): + manager.check_subset_exists( + source_depset=source_depset, + requirements=["requirements_3.txt"], + ) + def test_compile_bad_requirements(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) @@ -204,5 +293,11 @@ def _replace_in_file(filepath, old, new): f.write(contents) +def _save_packages_to_file(filepath, packages): + with open(filepath, "w") as f: + for package in packages: + f.write(package + "\n") + + if __name__ == "__main__": - sys.exit(pytest.main(["-vv", __file__])) + sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/test_data/test.config.yaml b/ci/raydepsets/test_data/test.config.yaml index 3833e5853677..e51e5dd0ecf8 100644 --- a/ci/raydepsets/test_data/test.config.yaml +++ b/ci/raydepsets/test_data/test.config.yaml @@ -6,9 +6,14 @@ depsets: constraints: - requirement_constraints_test.txt output: requirements_compiled.txt - - name: general_depset operation: compile requirements: - requirements_test.txt output: requirements_compiled_general.txt + - name: subset_general_depset + operation: subset + source_depset: general_depset + requirements: + - requirement_constraints_subset.txt + output: requirements_compiled_subset_general.txt diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 986c9d940f48..7e13173a398b 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -1,6 +1,6 @@ import yaml from dataclasses import dataclass, field -from typing import List +from typing import List, Optional import os @@ -11,6 +11,7 @@ class Depset: requirements: List[str] constraints: List[str] output: str + source_depset: Optional[str] = None @dataclass @@ -27,6 +28,7 @@ def from_dict(data: dict) -> "Config": constraints=values.get("constraints", []), operation=values.get("operation", "compile"), output=values.get("output"), + source_depset=values.get("source_depset"), ) for values in raw_depsets ] diff --git a/requirements_compiled_subset_general.txt b/requirements_compiled_subset_general.txt new file mode 100644 index 000000000000..9f95879e2506 --- /dev/null +++ b/requirements_compiled_subset_general.txt @@ -0,0 +1,12 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --python-version=3.11 --no-strip-markers --emit-index-url --emit-find-links --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match /tmp/tmp9w_t3drc/requirements_test.txt -o /tmp/tmp9w_t3drc/requirements_compiled_general.txt +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu + +emoji==2.14.1 \ + --hash=sha256:35a8a486c1460addb1499e3bf7929d3889b2e2841a57401903699fef595e942b \ + --hash=sha256:f8c50043d79a2c1410ebfae833ae1868d5941a67a6cd4d18377e2eb0bd79346b + # via -r /tmp/tmp9w_t3drc/requirements_test.txt +pyperclip==1.9.0 \ + --hash=sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310 + # via -r /tmp/tmp9w_t3drc/requirements_test.txt From 6e768bdda55a9128e9dfe1fdf397483e83cc40af Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 25 Jul 2025 22:48:32 -0700 Subject: [PATCH 0357/1566] [core] Fix possible race by checking node cache status instead of just subscription (#54745) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/mock/ray/gcs/gcs_client/accessor.h | 6 +- src/ray/core_worker/core_worker.cc | 2 +- src/ray/gcs/gcs_client/accessor.cc | 84 +++--- src/ray/gcs/gcs_client/accessor.h | 20 +- src/ray/gcs/gcs_client/test/accessor_test.cc | 40 ++- .../gcs/gcs_client/test/gcs_client_test.cc | 6 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 2 +- .../gcs_server/test/gcs_server_test_util.h | 8 +- src/ray/gcs/pubsub/gcs_pub_sub.cc | 5 +- src/ray/gcs/pubsub/gcs_pub_sub.h | 4 +- src/ray/raylet/node_manager.cc | 9 +- src/ray/raylet/node_manager.h | 4 +- src/ray/raylet/raylet.cc | 9 +- src/ray/raylet/raylet.h | 2 +- src/ray/raylet/test/node_manager_test.cc | 11 +- src/ray/rpc/worker/core_worker_client_pool.cc | 100 +++++-- .../test/core_worker_client_pool_test.cc | 249 +++++++++++------- 17 files changed, 353 insertions(+), 208 deletions(-) diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index 1f7d6c0b354f..effa8a909c4c 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -142,10 +142,10 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { int64_t timeout_ms, std::optional node_id), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncSubscribeToNodeChange, - ((const SubscribeCallback &subscribe), - const StatusCallback &done), + (std::function subscribe, + StatusCallback done), (override)); MOCK_METHOD(const rpc::GcsNodeInfo *, Get, diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 8c0a231f1f03..0752e622daec 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -566,7 +566,7 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) cluster_size_based_rate_limiter->OnNodeChanges(data); } }; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncSubscribeToNodeChange(on_node_change, nullptr)); + gcs_client_->Nodes().AsyncSubscribeToNodeChange(std::move(on_node_change), nullptr); plasma_store_provider_ = std::make_shared( options_.store_socket, diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index eac79dcda195..a9560883ff3f 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -617,36 +617,43 @@ void NodeInfoAccessor::AsyncGetAll(const MultiItemCallback &ca timeout_ms); } -Status NodeInfoAccessor::AsyncSubscribeToNodeChange( - const SubscribeCallback &subscribe, - const StatusCallback &done) { - RAY_CHECK(subscribe != nullptr); +void NodeInfoAccessor::AsyncSubscribeToNodeChange( + std::function subscribe, + StatusCallback done) { + /** + 1. Subscribe to node info + 2. Once the subscription is made, ask for all node info. + 3. Once all node info is received, call done callback. + 4. HandleNotification can handle conflicts between the subscription updates and + GetAllNodeInfo because nodes can only go from alive to dead, never back to alive. + Note that this only works because state is the only mutable field, otherwise we'd + have to queue processing subscription updates until the initial population from + AsyncGetAll is done. + */ + RAY_CHECK(node_change_callback_ == nullptr); - node_change_callback_ = subscribe; + node_change_callback_ = std::move(subscribe); + RAY_CHECK(node_change_callback_ != nullptr); fetch_node_data_operation_ = [this](const StatusCallback &done) { - auto callback = [this, done](const Status &status, - std::vector &&node_info_list) { - for (auto &node_info : node_info_list) { - HandleNotification(std::move(node_info)); - } - if (done) { - done(status); - } - }; - AsyncGetAll(callback, /*timeout_ms=*/-1); - }; - - subscribe_node_operation_ = [this](const StatusCallback &done) { - auto on_subscribe = [this](rpc::GcsNodeInfo &&data) { - HandleNotification(std::move(data)); - }; - return client_impl_->GetGcsSubscriber().SubscribeAllNodeInfo(on_subscribe, done); + AsyncGetAll( + [this, done](const Status &status, + std::vector &&node_info_list) { + for (auto &node_info : node_info_list) { + HandleNotification(std::move(node_info)); + } + if (done) { + done(status); + } + }, + /*timeout_ms=*/-1); }; - return subscribe_node_operation_([this, subscribe, done](const Status &status) { - fetch_node_data_operation_(done); - }); + client_impl_->GetGcsSubscriber().SubscribeAllNodeInfo( + /*subscribe=*/[this]( + rpc::GcsNodeInfo &&data) { HandleNotification(std::move(data)); }, + /*done=*/[this, done = std::move(done)]( + const Status &) { fetch_node_data_operation_(done); }); } const rpc::GcsNodeInfo *NodeInfoAccessor::Get(const NodeID &node_id, @@ -756,25 +763,24 @@ void NodeInfoAccessor::HandleNotification(rpc::GcsNodeInfo &&node_info) { } else { removed_nodes_.insert(node_id); } - if (node_change_callback_) { - // Copy happens! - rpc::GcsNodeInfo cache_data_copied = node_cache_[node_id]; - node_change_callback_(node_id, std::move(cache_data_copied)); - } + node_change_callback_(node_id, node_cache_[node_id]); } } void NodeInfoAccessor::AsyncResubscribe() { RAY_LOG(DEBUG) << "Reestablishing subscription for node info."; - auto fetch_all_done = [](const Status &status) { - RAY_LOG(INFO) << "Finished fetching all node information from gcs server after gcs " - "server or pub-sub server is restarted."; - }; - - if (subscribe_node_operation_ != nullptr) { - RAY_CHECK_OK(subscribe_node_operation_([this, fetch_all_done](const Status &status) { - fetch_node_data_operation_(fetch_all_done); - })); + if (IsSubscribedToNodeChange()) { + client_impl_->GetGcsSubscriber().SubscribeAllNodeInfo( + /*subscribe=*/[this](rpc::GcsNodeInfo + &&data) { HandleNotification(std::move(data)); }, + /*done=*/ + [this](const Status &) { + fetch_node_data_operation_([](const Status &) { + RAY_LOG(INFO) + << "Finished fetching all node information from gcs server after gcs " + "server or pub-sub server is restarted."; + }); + }); } } diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index 88bf216bb7cf..3bb56123b53e 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -360,10 +360,9 @@ class NodeInfoAccessor { /// added or a node is removed. The callback needs to be idempotent because it will also /// be called for existing nodes. /// \param done Callback that will be called when subscription is complete. - /// \return Status - virtual Status AsyncSubscribeToNodeChange( - const SubscribeCallback &subscribe, - const StatusCallback &done); + virtual void AsyncSubscribeToNodeChange( + std::function subscribe, + StatusCallback done); /// Get node information from local cache. /// Non-thread safe. @@ -443,29 +442,26 @@ class NodeInfoAccessor { } private: - /// Save the subscribe operation in this function, so we can call it again when PubSub - /// server restarts from a failure. - SubscribeOperation subscribe_node_operation_; - /// Save the fetch data operation in this function, so we can call it again when GCS /// server restarts from a failure. FetchDataOperation fetch_node_data_operation_; GcsClient *client_impl_; - using NodeChangeCallback = - std::function; - rpc::GcsNodeInfo local_node_info_; NodeID local_node_id_; /// The callback to call when a new node is added or a node is removed. - NodeChangeCallback node_change_callback_{nullptr}; + std::function node_change_callback_ = nullptr; /// A cache for information about all nodes. absl::flat_hash_map node_cache_; /// The set of removed nodes. std::unordered_set removed_nodes_; + + // TODO(dayshah): Need to refactor gcs client / accessor to avoid this. + // https://github.com/ray-project/ray/issues/54805 + FRIEND_TEST(NodeInfoAccessorTest, TestHandleNotification); }; /// \class NodeResourceInfoAccessor diff --git a/src/ray/gcs/gcs_client/test/accessor_test.cc b/src/ray/gcs/gcs_client/test/accessor_test.cc index ad6a2fcae5fc..c20e18b8de7e 100644 --- a/src/ray/gcs/gcs_client/test/accessor_test.cc +++ b/src/ray/gcs/gcs_client/test/accessor_test.cc @@ -14,27 +14,51 @@ #include "ray/gcs/gcs_client/accessor.h" -#include - #include "gtest/gtest.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { -using namespace ray::gcs; // NOLINT -using namespace ray::rpc; // NOLINT +namespace gcs { TEST(NodeInfoAccessorTest, TestHandleNotification) { + // First handle notification that node is alive. + // Then handle notification that node is dead. + // Then handle notification that node is alive, should be ignored though because node + // can only go from alive to dead, never back to alive again. + NodeInfoAccessor accessor; - GcsNodeInfo node_info; - node_info.set_state(rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_DEAD); + int num_notifications = 0; + accessor.node_change_callback_ = [&](NodeID, const rpc::GcsNodeInfo &) { + num_notifications++; + }; NodeID node_id = NodeID::FromRandom(); + + rpc::GcsNodeInfo node_info; node_info.set_node_id(node_id.Binary()); - accessor.HandleNotification(std::move(node_info)); - ASSERT_EQ(accessor.Get(node_id, false)->node_id(), node_id.Binary()); + node_info.set_state(rpc::GcsNodeInfo::ALIVE); + accessor.HandleNotification(rpc::GcsNodeInfo(node_info)); + const auto *gotten_node_info = accessor.Get(node_id, /*filter_dead_nodes=*/false); + ASSERT_EQ(gotten_node_info->node_id(), node_id.Binary()); + ASSERT_EQ(gotten_node_info->state(), rpc::GcsNodeInfo::ALIVE); + + node_info.set_state(rpc::GcsNodeInfo::DEAD); + accessor.HandleNotification(rpc::GcsNodeInfo(node_info)); + gotten_node_info = accessor.Get(node_id, /*filter_dead_nodes=*/false); + ASSERT_EQ(gotten_node_info->state(), rpc::GcsNodeInfo::DEAD); + ASSERT_EQ(accessor.Get(node_id, /*filter_dead_nodes=*/true), nullptr); + + node_info.set_state(rpc::GcsNodeInfo::ALIVE); + accessor.HandleNotification(rpc::GcsNodeInfo(node_info)); + gotten_node_info = accessor.Get(node_id, /*filter_dead_nodes=*/false); + ASSERT_EQ(gotten_node_info->state(), rpc::GcsNodeInfo::DEAD); + + ASSERT_EQ(num_notifications, 2); } int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); } + +} // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index d9d30a419ad5..9e0ca4924ec4 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -317,10 +317,10 @@ class GcsClientTest : public ::testing::TestWithParam { } bool SubscribeToNodeChange( - const gcs::SubscribeCallback &subscribe) { + std::function subscribe) { std::promise promise; - RAY_CHECK_OK(gcs_client_->Nodes().AsyncSubscribeToNodeChange( - subscribe, [&promise](Status status) { promise.set_value(status.ok()); })); + gcs_client_->Nodes().AsyncSubscribeToNodeChange( + subscribe, [&promise](Status status) { promise.set_value(status.ok()); }); return WaitReady(promise.get_future(), timeout_ms_); } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index bd79b6a121bc..fc9025828f30 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -116,7 +116,7 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, } } - assert(head_nodes.size() <= 1); + RAY_CHECK_LE(head_nodes.size(), 1UL); if (head_nodes.size() == 1) { OnNodeFailure(head_nodes[0], [this, request, on_done, node_id](const Status &status) { diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index 6130ae751e68..b4d904b518aa 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -478,10 +478,10 @@ struct GcsServerMocker { } } - Status AsyncSubscribeToNodeChange( - const gcs::SubscribeCallback &subscribe, - const gcs::StatusCallback &done) override { - return Status::NotImplemented(""); + void AsyncSubscribeToNodeChange( + std::function subscribe, + gcs::StatusCallback done) override { + RAY_LOG(FATAL) << "Not implemented"; } const rpc::GcsNodeInfo *Get(const NodeID &node_id, diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index c3aa14a63700..27e8d9f15bb2 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -166,8 +166,8 @@ bool GcsSubscriber::IsActorUnsubscribed(const ActorID &id) { rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary()); } -Status GcsSubscriber::SubscribeAllNodeInfo( - const ItemCallback &subscribe, const StatusCallback &done) { +void GcsSubscriber::SubscribeAllNodeInfo(const ItemCallback &subscribe, + const StatusCallback &done) { // GCS subscriber. auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_NODE_INFO_CHANNEL); @@ -188,7 +188,6 @@ Status GcsSubscriber::SubscribeAllNodeInfo( }, std::move(subscribe_item_callback), std::move(subscription_failure_callback))); - return Status::OK(); } Status GcsSubscriber::SubscribeAllWorkerFailures( diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h index b65189122ac9..c9abb5112aa3 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ b/src/ray/gcs/pubsub/gcs_pub_sub.h @@ -124,8 +124,8 @@ class GcsSubscriber { Status SubscribeAllJobs(const SubscribeCallback &subscribe, const StatusCallback &done); - Status SubscribeAllNodeInfo(const ItemCallback &subscribe, - const StatusCallback &done); + void SubscribeAllNodeInfo(const ItemCallback &subscribe, + const StatusCallback &done); Status SubscribeAllWorkerFailures(const ItemCallback &subscribe, const StatusCallback &done); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 11edd3cd29f4..6804bd3928de 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -227,7 +227,7 @@ NodeManager::NodeManager( "NodeManager.GCTaskFailureReason"); } -ray::Status NodeManager::RegisterGcs() { +void NodeManager::RegisterGcs() { auto on_node_change = [this](const NodeID &node_id, const GcsNodeInfo &data) { if (data.state() == GcsNodeInfo::ALIVE) { NodeAdded(data); @@ -273,8 +273,8 @@ ray::Status NodeManager::RegisterGcs() { "NodeManager.CheckGC"); }; // Register a callback to monitor new nodes and a callback to monitor removed nodes. - RAY_RETURN_NOT_OK(gcs_client_.Nodes().AsyncSubscribeToNodeChange( - on_node_change, on_node_change_subscribe_done)); + gcs_client_.Nodes().AsyncSubscribeToNodeChange( + std::move(on_node_change), std::move(on_node_change_subscribe_done)); // Subscribe to all unexpected failure notifications from the local and // remote raylets. Note that this does not include workers that failed due to @@ -303,7 +303,7 @@ ray::Status NodeManager::RegisterGcs() { HandleJobFinished(job_id, job_data); } }; - RAY_RETURN_NOT_OK(gcs_client_.Jobs().AsyncSubscribeAll(job_subscribe_handler, nullptr)); + RAY_CHECK_OK(gcs_client_.Jobs().AsyncSubscribeAll(job_subscribe_handler, nullptr)); periodical_runner_->RunFnPeriodically( [this] { @@ -379,7 +379,6 @@ ray::Status NodeManager::RegisterGcs() { }, RayConfig::instance().raylet_liveness_self_check_interval_ms(), "NodeManager.GcsCheckAlive"); - return ray::Status::OK(); } void NodeManager::DestroyWorker(std::shared_ptr worker, diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index ec940ed1a49d..ed8368065c2b 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -174,9 +174,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, const uint8_t *message_data); /// Subscribe to the relevant GCS tables and set up handlers. - /// - /// \return Status indicating whether this was done successfully or not. - ray::Status RegisterGcs(); + void RegisterGcs(); /// Get initial node manager configuration. const NodeManagerConfig &GetInitialConfig() const; diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index c9dda2afaa91..fffb2d5a0227 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -113,7 +113,7 @@ Raylet::Raylet(instrumented_io_context &main_service, Raylet::~Raylet() {} void Raylet::Start() { - RAY_CHECK_OK(RegisterGcs()); + RegisterGcs(); // Start listening for clients. DoAccept(); @@ -129,7 +129,7 @@ void Raylet::Stop() { acceptor_.close(); } -ray::Status Raylet::RegisterGcs() { +void Raylet::RegisterGcs() { auto register_callback = [this](const Status &status) { RAY_CHECK_OK(status); RAY_LOG(INFO) << "Raylet of id, " << self_node_id_ @@ -139,11 +139,10 @@ ray::Status Raylet::RegisterGcs() { << " object_manager address: " << self_node_info_.node_manager_address() << ":" << self_node_info_.object_manager_port() << " hostname: " << self_node_info_.node_manager_hostname(); - RAY_CHECK_OK(node_manager_.RegisterGcs()); + node_manager_.RegisterGcs(); }; - RAY_RETURN_NOT_OK(gcs_client_.Nodes().RegisterSelf(self_node_info_, register_callback)); - return Status::OK(); + RAY_CHECK_OK(gcs_client_.Nodes().RegisterSelf(self_node_info_, register_callback)); } void Raylet::DoAccept() { diff --git a/src/ray/raylet/raylet.h b/src/ray/raylet/raylet.h index 426b54281771..bbe9644226ac 100644 --- a/src/ray/raylet/raylet.h +++ b/src/ray/raylet/raylet.h @@ -79,7 +79,7 @@ class Raylet { private: /// Register GCS client. - ray::Status RegisterGcs(); + void RegisterGcs(); /// Accept a client connection. void DoAccept(); diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 8c927e54017f..5211b20ed000 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -530,7 +530,7 @@ class NodeManagerTest : public ::testing::Test { TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncSubscribeToNodeChange(_, _)) - .WillOnce(Return(Status::OK())); + .Times(1); EXPECT_CALL(*mock_gcs_client_->mock_worker_accessor, AsyncSubscribeToWorkerFailures(_, _)) .WillOnce(Return(Status::OK())); @@ -545,7 +545,7 @@ TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { std::promise promise; EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncCheckSelfAlive(_, _)) .WillOnce([&promise](const auto &, const auto &) { promise.set_value(); }); - RAY_CHECK_OK(node_manager_->RegisterGcs()); + node_manager_->RegisterGcs(); std::thread thread{[this] { // Run the io_service in a separate thread to avoid blocking the main thread. auto work_guard = boost::asio::make_work_guard(io_service_); @@ -559,7 +559,7 @@ TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, AsyncSubscribeToNodeChange(_, _)) - .WillOnce(Return(Status::OK())); + .Times(1); EXPECT_CALL(*mock_gcs_client_->mock_job_accessor, AsyncSubscribeAll(_, _)) .WillOnce(Return(Status::OK())); EXPECT_CALL(mock_worker_pool_, GetAllRegisteredWorkers(_, _)) @@ -589,7 +589,7 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { }); // Invoke RegisterGcs and wait until publish_worker_failure_callback is set. - RAY_CHECK_OK(node_manager_->RegisterGcs()); + node_manager_->RegisterGcs(); while (!publish_worker_failure_callback) { io_service_.run_one(); } @@ -664,11 +664,10 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { .WillOnce([&](const gcs::SubscribeCallback &subscribe, const gcs::StatusCallback &done) { publish_node_change_callback = subscribe; - return Status::OK(); }); // Invoke RegisterGcs and wait until publish_node_change_callback is set. - RAY_CHECK_OK(node_manager_->RegisterGcs()); + node_manager_->RegisterGcs(); while (!publish_node_change_callback) { io_service_.run_one(); } diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 7e3963cf0b68..df09f386e3af 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -17,6 +17,7 @@ #include #include #include +#include namespace ray { namespace rpc { @@ -33,32 +34,83 @@ std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback raylet_client_factory = std::move(raylet_client_factory)]() { const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); const WorkerID worker_id = WorkerID::FromBinary(addr.worker_id()); - RAY_CHECK(gcs_client->Nodes().IsSubscribedToNodeChange()); - const rpc::GcsNodeInfo *node_info = - gcs_client->Nodes().Get(node_id, /*filter_dead_nodes=*/true); - if (node_info == nullptr) { - RAY_LOG(INFO).WithField(worker_id).WithField(node_id) - << "Disconnect core worker client since its node is dead"; - worker_client_pool->Disconnect(worker_id); + + auto check_worker_alive = [raylet_client_factory, + worker_client_pool, + worker_id, + node_id](const rpc::GcsNodeInfo &node_info) { + auto raylet_client = raylet_client_factory(node_info.node_manager_address(), + node_info.node_manager_port()); + raylet_client->IsLocalWorkerDead( + worker_id, + [worker_client_pool, worker_id, node_id](const Status &status, + rpc::IsLocalWorkerDeadReply &&reply) { + if (!status.ok()) { + // Will try again when unavailable timeout callback is retried. + RAY_LOG(INFO).WithField(worker_id).WithField(node_id) + << "Failed to check if worker is dead on request to raylet"; + return; + } + if (reply.is_dead()) { + RAY_LOG(INFO).WithField(worker_id).WithField(node_id) + << "Disconnecting core worker client because the worker is dead"; + worker_client_pool->Disconnect(worker_id); + } + }); + }; + + auto gcs_check_node_alive = + [check_worker_alive, node_id, worker_id, worker_client_pool, gcs_client]() { + gcs_client->Nodes().AsyncGetAll( + [check_worker_alive = std::move(check_worker_alive), + worker_id, + node_id, + worker_client_pool](const Status &status, + std::vector &&nodes) { + if (!status.ok()) { + // Will try again when unavailable timeout callback is retried. + RAY_LOG(INFO) << "Failed to get node info from GCS"; + return; + } + if (nodes.empty() || nodes[0].state() != rpc::GcsNodeInfo::ALIVE) { + // The node is dead or GCS doesn't know about this node. + // There's only two reasons the GCS doesn't know about the node: + // 1. The node isn't registered yet. + // 2. The GCS erased the dead node based on + // maximum_gcs_dead_node_cached_count. + // In this case, it must be 2 since there's no way for a component to + // know about a remote node id until the gcs has registered it. + RAY_LOG(INFO).WithField(worker_id).WithField(node_id) + << "Disconnecting core worker client because its node is dead"; + worker_client_pool->Disconnect(worker_id); + return; + } + check_worker_alive(nodes[0]); + }, + -1, + node_id); + }; + + if (gcs_client->Nodes().IsSubscribedToNodeChange()) { + auto *node_info = gcs_client->Nodes().Get(node_id, /*filter_dead_nodes=*/false); + if (node_info == nullptr) { + // Node could be dead or info may have not made it to the subscriber cache yet. + // Check with the GCS to confirm if the node is dead. + gcs_check_node_alive(); + return; + } + if (node_info->state() == rpc::GcsNodeInfo::DEAD) { + RAY_LOG(INFO).WithField(worker_id).WithField(node_id) + << "Disconnecting core worker client because its node is dead."; + worker_client_pool->Disconnect(worker_id); + return; + } + // Node is alive so check worker. + check_worker_alive(*node_info); return; } - auto raylet_client = raylet_client_factory(node_info->node_manager_address(), - node_info->node_manager_port()); - raylet_client->IsLocalWorkerDead( - worker_id, - [worker_client_pool, worker_id, node_id](const Status &status, - rpc::IsLocalWorkerDeadReply &&reply) { - if (!status.ok()) { - RAY_LOG(INFO).WithField(worker_id).WithField(node_id) - << "Failed to check if worker is dead on request to raylet"; - return; - } - if (reply.is_dead()) { - RAY_LOG(INFO).WithField(worker_id) - << "Disconnect core worker client since it is dead"; - worker_client_pool->Disconnect(worker_id); - } - }); + // Not subscribed so ask GCS. + gcs_check_node_alive(); }; } diff --git a/src/ray/rpc/worker/test/core_worker_client_pool_test.cc b/src/ray/rpc/worker/test/core_worker_client_pool_test.cc index 4d50e7310cee..16b63a4f31ef 100644 --- a/src/ray/rpc/worker/test/core_worker_client_pool_test.cc +++ b/src/ray/rpc/worker/test/core_worker_client_pool_test.cc @@ -19,6 +19,7 @@ #include #include #include +#include #include "gmock/gmock.h" #include "mock/ray/raylet_client/raylet_client.h" @@ -43,18 +44,19 @@ class MockCoreWorkerClient : public CoreWorkerClientInterface { std::function unavailable_timeout_callback_; }; -class CoreWorkerClientPoolTest : public ::testing::Test { - public: - static rpc::Address CreateRandomAddress(const std::string &addr) { - rpc::Address address; - address.set_ip_address(addr); - address.set_raylet_id(NodeID::FromRandom().Binary()); - address.set_worker_id(WorkerID::FromRandom().Binary()); - return address; - } -}; +namespace { + +rpc::Address CreateRandomAddress(const std::string &addr) { + rpc::Address address; + address.set_ip_address(addr); + address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_worker_id(WorkerID::FromRandom().Binary()); + return address; +} -TEST_F(CoreWorkerClientPoolTest, TestGC) { +} // namespace + +TEST(CoreWorkerClientPoolTest, TestGC) { // Test to make sure idle clients are removed eventually. CoreWorkerClientPool client_pool( @@ -80,20 +82,30 @@ TEST_F(CoreWorkerClientPoolTest, TestGC) { class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { public: - MockGcsClientNodeAccessor() : gcs::NodeInfoAccessor(nullptr) {} + explicit MockGcsClientNodeAccessor(bool is_subscribed_to_node_change) + : gcs::NodeInfoAccessor(nullptr), + is_subscribed_to_node_change_(is_subscribed_to_node_change) {} + + bool IsSubscribedToNodeChange() const override { return is_subscribed_to_node_change_; } + + MOCK_METHOD(const rpc::GcsNodeInfo *, Get, (const NodeID &, bool), (const, override)); - bool IsSubscribedToNodeChange() const override { return true; } + MOCK_METHOD(void, + AsyncGetAll, + (const gcs::MultiItemCallback &, + int64_t, + std::optional), + (override)); - MOCK_METHOD(const rpc::GcsNodeInfo *, - Get, - (const NodeID &node_id, bool filter_dead_nodes), - (const, override)); + private: + bool is_subscribed_to_node_change_; }; class MockGcsClient : public gcs::GcsClient { public: - MockGcsClient() { - this->node_accessor_ = std::make_unique(); + explicit MockGcsClient(bool is_subscribed_to_node_change) { + this->node_accessor_ = + std::make_unique(is_subscribed_to_node_change); } MockGcsClientNodeAccessor &MockNodeAccessor() { @@ -101,33 +113,94 @@ class MockGcsClient : public gcs::GcsClient { } }; -TEST_F(CoreWorkerClientPoolTest, TestGetDefaultUnavailableTimeoutCallbackNodeDead) { - auto gcs_client = std::make_unique(); - auto raylet_client = std::make_shared(); - auto node_info = std::make_unique(); - - std::unique_ptr client_pool; - client_pool = std::make_unique([&](const rpc::Address &addr) { - return std::make_shared( - CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( - gcs_client.get(), - client_pool.get(), - [&raylet_client](const std::string &, int32_t) { return raylet_client; }, - addr)); - }); - - auto core_worker_client = client_pool->GetOrConnect(CreateRandomAddress("1")); - ASSERT_EQ(client_pool->Size(), 1); - - // Alive node first time. - // Dead node second time. - EXPECT_CALL(gcs_client->MockNodeAccessor(), Get(_, true)) - .WillOnce(Return(node_info.get())) - .WillOnce(Return(nullptr)); - - // Alive worker first time. - EXPECT_CALL(*raylet_client, IsLocalWorkerDead(_, _)) - .WillOnce( +class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam { + public: + DefaultUnavailableTimeoutCallbackTest() + : is_subscribed_to_node_change_(GetParam()), + gcs_client_(is_subscribed_to_node_change_), + raylet_client_(std::make_shared()), + client_pool_( + std::make_unique([this](const rpc::Address &addr) { + return std::make_shared( + CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( + &this->gcs_client_, + this->client_pool_.get(), + [this](const std::string &, int32_t) { + return this->raylet_client_; + }, + addr)); + })) {} + + bool is_subscribed_to_node_change_; + MockGcsClient gcs_client_; + std::shared_ptr raylet_client_; + std::unique_ptr client_pool_; +}; + +TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { + // Add 2 worker clients to the pool. + // worker_client_1 unavailable calls: + // 1. Node info hasn't been cached yet, but GCS knows it's alive. + // 2. Node is alive and worker is alive. + // 3. Node is dead according to cache + GCS, should disconnect. + // worker_client_2 unavailable calls: + // 1. Subscriber cache and GCS don't know about node. Means the node is dead and the GCS + // had to discard to keep its cache size in check, should disconnect. + + auto &mock_node_accessor = gcs_client_.MockNodeAccessor(); + auto invoke_with_node_info_vector = [](std::vector node_info_vector) { + return Invoke( + [node_info_vector](const gcs::MultiItemCallback &callback, + int64_t, + std::optional) { + callback(Status::OK(), node_info_vector); + }); + }; + + auto worker_1_address = CreateRandomAddress("1"); + auto worker_2_address = CreateRandomAddress("2"); + auto worker_1_client = dynamic_cast( + client_pool_->GetOrConnect(worker_1_address).get()); + ASSERT_EQ(client_pool_->Size(), 1); + auto worker_2_client = dynamic_cast( + client_pool_->GetOrConnect(worker_2_address).get()); + ASSERT_EQ(client_pool_->Size(), 2); + + auto worker_1_node_id = NodeID::FromBinary(worker_1_address.raylet_id()); + auto worker_2_node_id = NodeID::FromBinary(worker_2_address.raylet_id()); + + rpc::GcsNodeInfo node_info_alive; + node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); + rpc::GcsNodeInfo node_info_dead; + node_info_dead.set_state(rpc::GcsNodeInfo::DEAD); + if (is_subscribed_to_node_change_) { + EXPECT_CALL(mock_node_accessor, Get(worker_1_node_id, /*filter_dead_nodes=*/false)) + .WillOnce(Return(nullptr)) + .WillOnce(Return(&node_info_alive)) + .WillOnce(Return(&node_info_dead)); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::make_optional(worker_1_node_id))) + .WillOnce(invoke_with_node_info_vector({node_info_alive})); + EXPECT_CALL(mock_node_accessor, Get(worker_2_node_id, /*filter_dead_nodes=*/false)) + .WillOnce(Return(nullptr)); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::make_optional(worker_2_node_id))) + .WillOnce(invoke_with_node_info_vector({})); + } else { + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::make_optional(worker_1_node_id))) + .WillOnce(invoke_with_node_info_vector({node_info_alive})) + .WillOnce(invoke_with_node_info_vector({node_info_alive})) + .WillOnce(invoke_with_node_info_vector({node_info_dead})); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::make_optional(worker_2_node_id))) + .WillOnce(invoke_with_node_info_vector({})); + } + + // Worker is alive when node is alive. + EXPECT_CALL(*raylet_client_, IsLocalWorkerDead(_, _)) + .Times(2) + .WillRepeatedly( Invoke([](const WorkerID &, const rpc::ClientCallback &callback) { rpc::IsLocalWorkerDeadReply reply; @@ -135,41 +208,41 @@ TEST_F(CoreWorkerClientPoolTest, TestGetDefaultUnavailableTimeoutCallbackNodeDea callback(Status::OK(), std::move(reply)); })); - // Stays connected first time. - dynamic_cast(core_worker_client.get()) - ->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool->Size(), 1); - - // Disconnected second time. - dynamic_cast(core_worker_client.get()) - ->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool->Size(), 0); + worker_1_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 2); + worker_1_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 2); + worker_1_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 1); + worker_2_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 0); } -TEST_F(CoreWorkerClientPoolTest, TestGetDefaultUnavailableTimeoutCallbackWorkerDead) { - auto gcs_client = std::make_unique(); - auto raylet_client = std::make_shared(); - auto node_info = std::make_unique(); - - std::unique_ptr client_pool; - client_pool = std::make_unique([&](const rpc::Address &addr) { - return std::make_shared( - CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( - gcs_client.get(), - client_pool.get(), - [&raylet_client](const std::string &, int32_t) { return raylet_client; }, - addr)); - }); - auto core_worker_client = client_pool->GetOrConnect(CreateRandomAddress("1")); - ASSERT_EQ(client_pool->Size(), 1); - - // Gives alive node both times. - EXPECT_CALL(gcs_client->MockNodeAccessor(), Get(_, true)) - .WillOnce(Return(node_info.get())) - .WillOnce(Return(node_info.get())); - // Gives alive worker first time. - // Gives dead worker second time. - EXPECT_CALL(*raylet_client, IsLocalWorkerDead(_, _)) +TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { + // Add the client to the pool. + // 1st call - Node is alive and worker is alive. + // 2nd call - Node is alive and worker is dead, client should be disconnected. + + auto core_worker_client = dynamic_cast( + client_pool_->GetOrConnect(CreateRandomAddress("1")).get()); + ASSERT_EQ(client_pool_->Size(), 1); + + rpc::GcsNodeInfo node_info_alive; + node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); + if (is_subscribed_to_node_change_) { + EXPECT_CALL(gcs_client_.MockNodeAccessor(), Get(_, /*filter_dead_nodes=*/false)) + .Times(2) + .WillRepeatedly(Return(&node_info_alive)); + } else { + EXPECT_CALL(gcs_client_.MockNodeAccessor(), AsyncGetAll(_, _, _)) + .Times(2) + .WillRepeatedly(Invoke( + [&](const gcs::MultiItemCallback &callback, + int64_t, + std::optional) { callback(Status::OK(), {node_info_alive}); })); + } + + EXPECT_CALL(*raylet_client_, IsLocalWorkerDead(_, _)) .WillOnce( Invoke([](const WorkerID &, const rpc::ClientCallback &callback) { @@ -185,17 +258,17 @@ TEST_F(CoreWorkerClientPoolTest, TestGetDefaultUnavailableTimeoutCallbackWorkerD callback(Status::OK(), std::move(reply)); })); - // First time client should still be connected. - dynamic_cast(core_worker_client.get()) - ->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool->Size(), 1); - - // Second time client should be disconnected. - dynamic_cast(core_worker_client.get()) - ->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool->Size(), 0); + // Disconnects the second time. + core_worker_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 1); + core_worker_client->unavailable_timeout_callback_(); + ASSERT_EQ(client_pool_->Size(), 0); } +INSTANTIATE_TEST_SUITE_P(IsSubscribedToNodeChange, + DefaultUnavailableTimeoutCallbackTest, + ::testing::Values(true, false)); + } // namespace rpc } // namespace ray From 7d168f38508b6714dafe30b22bd520ae819f9ab3 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Sat, 26 Jul 2025 19:59:03 +0200 Subject: [PATCH 0358/1566] [RLlib] Fix missing support for `config.count_steps_by = "agent_steps"`. (#54885) Signed-off-by: Douglas Strodtman --- rllib/env/multi_agent_env_runner.py | 16 ++++++--- .../env/tests/test_multi_agent_env_runner.py | 35 +++++++++++++++---- 2 files changed, 40 insertions(+), 11 deletions(-) diff --git a/rllib/env/multi_agent_env_runner.py b/rllib/env/multi_agent_env_runner.py index 3b4137e9cfdf..2610d1f1ba2d 100644 --- a/rllib/env/multi_agent_env_runner.py +++ b/rllib/env/multi_agent_env_runner.py @@ -284,10 +284,17 @@ def _sample( self._needs_initial_reset = True # Loop through `num_timesteps` timesteps or `num_episodes` episodes. - ts = 0 + env_ts = 0 + agent_ts = 0 eps = 0 while ( - (ts < num_timesteps) if num_timesteps is not None else (eps < num_episodes) + (eps < num_episodes) + if num_timesteps is None + else ( + env_ts < num_timesteps + if self.config.count_steps_by == "env_steps" + else agent_ts < num_timesteps + ) ): # Act randomly. if random_actions: @@ -318,7 +325,7 @@ def _sample( # count times the number of env runners in the algo. global_env_steps_lifetime = ( self.metrics.peek(NUM_ENV_STEPS_SAMPLED_LIFETIME, default=0) - + ts + + env_ts ) * (self.config.num_env_runners or 1) with self.metrics.log_time(RLMODULE_INFERENCE_TIMER): to_env = self.module.forward_exploration( @@ -403,9 +410,10 @@ def _sample( ) # Only increase ts when we actually stepped (not reset'd as a reset # does not count as a timestep). - ts += self._increase_sampled_metrics( + env_ts += self._increase_sampled_metrics( 1, observations[env_index], episodes[env_index] ) + agent_ts += len(observations[env_index]) done_episodes_to_run_env_to_module = [] for env_index in range(self.num_envs): diff --git a/rllib/env/tests/test_multi_agent_env_runner.py b/rllib/env/tests/test_multi_agent_env_runner.py index acfaa647bd70..13fc1021f0fb 100644 --- a/rllib/env/tests/test_multi_agent_env_runner.py +++ b/rllib/env/tests/test_multi_agent_env_runner.py @@ -91,18 +91,39 @@ def test_sample_episodes(self): for eps in episodes: check(eps.env_t_started, 0) - def _build_config(self): + def test_counting_by_agent_steps(self): + """Tests whether counting by agent_steps works.""" + # Build a multi agent config. + config = self._build_config(num_agents=4, num_policies=1) + config.multi_agent(count_steps_by="agent_steps") + config.env_runners( + rollout_fragment_length=20, + num_envs_per_env_runner=4, + ) + + # Create a `MultiAgentEnvRunner` instance. + env_runner = MultiAgentEnvRunner(config=config) + episodes = env_runner.sample() + assert len(episodes) == 4 + assert all(e.agent_steps() == 20 for e in episodes) + + def _build_config(self, num_agents=2, num_policies=2): # Build the configuration and use `PPO`. + assert num_policies == 1 or num_agents == num_policies + config = ( - PPOConfig().environment( + PPOConfig() + .environment( MultiAgentCartPole, - env_config={"num_agents": 2}, + env_config={"num_agents": num_agents}, ) - # TODO (sven, simon): Setup is still for `Policy`, change as soon - # as we have switched fully to the new stack. .multi_agent( - policies={"p0", "p1"}, - policy_mapping_fn=lambda aid, *args, **kwargs: f"p{aid}", + policies={f"p{i}" for i in range(num_policies)}, + policy_mapping_fn=( + lambda aid, *args, **kwargs: ( + f"p{aid}" if num_agents == num_policies else "p0" + ) + ), ) ) From f96bc05e5aa7b0bd61d8a60ada424dc018b0d156 Mon Sep 17 00:00:00 2001 From: DataErrata Date: Sat, 26 Jul 2025 19:48:54 +0100 Subject: [PATCH 0359/1566] [core] Fix get actor timeout multiplier (#54525) Signed-off-by: Varun Bhandary Signed-off-by: DataErrata Co-authored-by: Varun Bhandary Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_state_api.py | 36 ++++++++++++++++++++++++++++++ python/ray/util/state/common.py | 14 +++++++++++- 2 files changed, 49 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 2557eced5adb..c0e4ed99591e 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -111,6 +111,7 @@ WorkerState, StateSchema, state_column, + GetApiOptions, ) from ray.dashboard.utils import ray_address_to_api_server_url from ray.util.state.exception import DataSourceUnavailable, RayStateApiException @@ -3800,5 +3801,40 @@ def test_hang_driver_has_no_is_running_task(monkeypatch, ray_start_cluster): assert not all_job_info[my_job_id].HasField("is_running_tasks") +def test_get_actor_timeout_multiplier(shutdown_only): + """Test that GetApiOptions applies the same timeout multiplier as ListApiOptions. + + This test reproduces the issue where get_actor with timeout=1 fails even though + the actual operation takes less than 1 second, because GetApiOptions doesn't + apply the 0.8 server timeout multiplier that ListApiOptions uses. + + Related issue: https://github.com/ray-project/ray/issues/54153 + """ + + @ray.remote + class TestActor: + def ready(self): + pass + + actor = TestActor.remote() + ray.get(actor.ready.remote()) + + # Test that both options classes apply the same timeout multiplier + test_timeout = 1 + get_options = GetApiOptions(timeout=test_timeout) + list_options = ListApiOptions(timeout=test_timeout) + + # After __post_init__, both should have the same effective timeout + assert get_options.timeout == list_options.timeout + + # Test that get_actor works with a 1-second timeout + actors = list_actors() + actor_id = actors[0]["actor_id"] + + # This should work without timeout issues + result = get_actor(actor_id, timeout=1) + assert result["actor_id"] == actor_id + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/util/state/common.py b/python/ray/util/state/common.py index c67bbad51930..c1ed09469825 100644 --- a/python/ray/util/state/common.py +++ b/python/ray/util/state/common.py @@ -152,7 +152,7 @@ def __post_init__(self): # To return the data to users, when there's a partial failure # we need to have a timeout that's smaller than the users' timeout. # 80% is configured arbitrarily. - self.timeout = int(self.timeout * self.server_timeout_multiplier) + self.timeout = max(1, int(self.timeout * self.server_timeout_multiplier)) assert self.timeout != 0, "0 second timeout is not supported." if self.filters is None: self.filters = [] @@ -197,6 +197,18 @@ def has_conflicting_filters(self) -> bool: class GetApiOptions: # Timeout for the HTTP request timeout: int = DEFAULT_RPC_TIMEOUT + # When the request is processed on the server side, + # we should apply multiplier so that server side can finish + # processing a request within timeout. Otherwise, + # timeout will always lead Http timeout. + server_timeout_multiplier: float = 0.8 + + def __post_init__(self): + # To return the data to users, when there's a partial failure + # we need to have a timeout that's smaller than the users' timeout. + # 80% is configured arbitrarily. + self.timeout = max(1, int(self.timeout * self.server_timeout_multiplier)) + assert self.timeout != 0, "0 second timeout is not supported." @dataclass(init=not IS_PYDANTIC_2) From d3578453ddf05f74796c443dc5f667c5160eb795 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C5=A0imon=20Luka=C5=A1=C3=ADk?= Date: Sun, 27 Jul 2025 01:20:32 +0200 Subject: [PATCH 0360/1566] [doc] trivial: Fix broken developer links (#54942) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Just getting started and found broken links in the developer guide. ## Related issue number N/A ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] This PR is not tested :) Signed-off-by: Šimon Lukašík Signed-off-by: Douglas Strodtman --- doc/source/ray-contribute/getting-involved.rst | 2 +- doc/source/tune/faq.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/ray-contribute/getting-involved.rst b/doc/source/ray-contribute/getting-involved.rst index 9bfff6f2d75e..67934c9e4975 100644 --- a/doc/source/ray-contribute/getting-involved.rst +++ b/doc/source/ray-contribute/getting-involved.rst @@ -47,7 +47,7 @@ What can I work on? ------------------- We use Github to track issues, feature requests, and bugs. Take a look at the -ones labeled `"good first issue" `__ for a place to start. +ones labeled `"good first issue" `__ for a place to start. Setting up your development environment --------------------------------------- diff --git a/doc/source/tune/faq.rst b/doc/source/tune/faq.rst index 7a21483de6e8..7e3ec9b8bc44 100644 --- a/doc/source/tune/faq.rst +++ b/doc/source/tune/faq.rst @@ -491,7 +491,7 @@ How can I get started contributing to Tune? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ We use Github to track issues, feature requests, and bugs. Take a look at the -ones labeled `"good first issue" `__ and `"help wanted" `__ for a place to start. +ones labeled `"good first issue" `__ and `"help wanted" `__ for a place to start. Look for issues with "[tune]" in the title. .. note:: From 4974216ed77427ed7520429e128cdc8f60afcfd9 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Sat, 26 Jul 2025 20:24:19 -0700 Subject: [PATCH 0361/1566] [Serve.llm] Pin Ray version for DeepSeek example (#54926) Signed-off-by: Douglas Strodtman --- doc/source/serve/tutorials/serve-deepseek.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/source/serve/tutorials/serve-deepseek.md b/doc/source/serve/tutorials/serve-deepseek.md index 1905afdf7e7e..59abafedc497 100644 --- a/doc/source/serve/tutorials/serve-deepseek.md +++ b/doc/source/serve/tutorials/serve-deepseek.md @@ -13,9 +13,11 @@ This example shows how to deploy DeepSeek R1 or V3 with Ray Serve LLM. To run this example, install the following: ```bash -pip install "ray[llm]" +pip install "ray[llm]==2.46.0" ``` +Note: Deploying DeepSeek-R1 requires at least 720GB of free disk space per worker node to store model weights. + ## Deployment ### Quick Deployment @@ -51,7 +53,6 @@ llm_config = LLMConfig( "max_model_len": 16384, "enable_chunked_prefill": True, "enable_prefix_caching": True, - "trust_remote_code": True, }, ) @@ -89,7 +90,6 @@ applications: max_model_len: 16384 enable_chunked_prefill: true enable_prefix_caching: true - trust_remote_code: true import_path: ray.serve.llm:build_openai_app name: llm_app route_prefix: "/" From 6ae2f27c828890e7f93764fe3bfb0660b5f2ccb2 Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Sat, 26 Jul 2025 22:56:32 -0700 Subject: [PATCH 0362/1566] [Serve.llm] refactor LLMServer to sync init (#54835) Signed-off-by: Nikhil Ghosh Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_server.py | 80 ++++++++++++++++--- .../prefill_decode_disagg.py | 1 - python/ray/llm/tests/serve/conftest.py | 15 ---- .../cpu/deployments/llm/test_llm_server.py | 15 ++-- 4 files changed, 78 insertions(+), 33 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index c8190ab7fbbd..4f9c7edd4f24 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -61,15 +61,21 @@ class _LLMServerBase(ABC): """ This is the common interface between all the llm deployment. All llm deployments - need to implement an async constructor, an async predict, and check_health method. + need to implement a sync constructor, an async start method, and check_health method. """ - # TODO (Kourosh): I don't know why this is an async init. Need to fix. - async def __init__(self): + def __init__(self): """ - Constructor takes in an LLMConfig object and start the underlying engine. + Constructor takes basic setup that doesn't require async operations. """ + @abstractmethod + async def start(self): + """ + Start the underlying engine. This handles async initialization. + """ + ... + @abstractmethod async def chat( self, request: "ChatCompletionRequest" @@ -114,6 +120,19 @@ class LLMServer(_LLMServerBase): 2. Request id handing from serve context. 3. Batching in case of streaming (only for chat and completions). 4. Telemetry reporting. + + Usage Patterns: + + 1. Basic pattern (for testing): + server = LLMServer.sync_init(llm_config) # Sync constructor, unstarted + await server.start() # Must explicitly start + + 2. Async context (default, used by Ray Serve): + server = await LLMServer(llm_config) # Async constructor, fully started + + 3. Ray Serve deployment: + # Ray Serve calls the async constructor directly + deployment = serve.deployment(LLMServer).bind(llm_config) """ _default_engine_cls = VLLMEngine @@ -125,10 +144,9 @@ async def __init__( engine_cls: Optional[Type[LLMEngine]] = None, model_downloader: Optional[Type[LoraModelLoader]] = None, ): - """Constructor of LLMServer. + """Asynchronous constructor that returns a fully started instance. - Only the llm_config is public api, the other arguments are private - and used for testing. + This is the default constructor used by Ray Serve deployments. Args: llm_config: LLMConfig for the model. @@ -137,17 +155,56 @@ async def __init__( model_downloader: Dependency injection for the model downloader. Defaults to `LoraModelLoader`. """ - await super().__init__() - self._llm_config = llm_config + super().__init__() + self._init_shared(llm_config, engine_cls, model_downloader) + await self.start() + def _init_shared( + self, + llm_config: LLMConfig, + engine_cls: Optional[Type[LLMEngine]] = None, + model_downloader: Optional[Type[LoraModelLoader]] = None, + ): + """Shared initialization logic between constructors.""" + self._llm_config = llm_config self._engine_cls = engine_cls or self._get_default_engine_class() self.engine: Optional[LLMEngine] = None + self._init_multiplex_loader(model_downloader) + + @classmethod + def sync_init( + cls, + llm_config: LLMConfig, + *, + engine_cls: Optional[Type[LLMEngine]] = None, + model_downloader: Optional[Type[LoraModelLoader]] = None, + ) -> "LLMServer": + """Synchronous constructor that returns an unstarted instance. + + This is used for testing the new pattern where initialization + and starting are explicitly separated. + + Args: + llm_config: LLMConfig for the model. + engine_cls: Dependency injection for the vllm engine class. + Defaults to `VLLMEngine`. + model_downloader: Dependency injection for the model downloader. + Defaults to `LoraModelLoader`. + + Returns: + An unstarted LLMServer instance. Caller must call await start(). + """ + instance = cls.__new__(cls) + _LLMServerBase.__init__(instance) + instance._init_shared(llm_config, engine_cls, model_downloader) + return instance + + async def start(self): + """Start the underlying engine. This handles async initialization.""" if self._engine_cls is not None: self.engine = self._engine_cls(self._llm_config) await asyncio.wait_for(self._start_engine(), timeout=ENGINE_START_TIMEOUT_S) - self._init_multiplex_loader(model_downloader) - def _init_multiplex_loader( self, model_downloader_cls: Optional[Type[LoraModelLoader]] = None ): @@ -253,6 +310,7 @@ async def _run_request( Returns: An AsyncGenerator of the response. If stream is True and batching is enabled, then the generator will yield a list of streaming responses (strings of the format data: {response_json}\n\n). Otherwise, it will yield the non-streaming response from engine directly. """ + await self._maybe_add_request_id_to_request(request) await self._maybe_resolve_lora_from_multiplex() diff --git a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py index 2ad162e4b403..a1d8f3ae7a51 100644 --- a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py +++ b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py @@ -87,7 +87,6 @@ async def __init__( prefill_server: DeploymentHandle, decode_server: DeploymentHandle, ): - # We pass `llm_config` here to let super() extract the model_id, such that /v1/models # endpoint can work correctly. # TODO(lk-chen): refactor LLMRouter <-> LLMServer such that router query model_id through diff --git a/python/ray/llm/tests/serve/conftest.py b/python/ray/llm/tests/serve/conftest.py index 047b497966d6..55d94387f88c 100644 --- a/python/ray/llm/tests/serve/conftest.py +++ b/python/ray/llm/tests/serve/conftest.py @@ -21,7 +21,6 @@ ) from ray.serve.llm import ( LLMConfig, - LLMServer, LLMServingArgs, ModelLoadingConfig, build_openai_app, @@ -175,17 +174,3 @@ def testing_model_no_accelerator(shutdown_ray_and_serve, disable_placement_bundl with get_rayllm_testing_model(test_model_path) as (client, model_id): yield client, model_id - - -@pytest.fixture -def create_server(): - """Asynchronously create an LLMServer instance.""" - - async def creator(*args, **kwargs): - # _ = LLMServer(...) will raise TypeError("__init__() should return None") - # so we do __new__ then __init__ - server = LLMServer.__new__(LLMServer) - await server.__init__(*args, **kwargs) - return server - - return creator diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index f14d7e76ae78..604a1acb1762 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -151,7 +151,7 @@ async def test_embedding_llm_server( LLMResponseValidator.validate_embedding_response(chunks[0], dimensions) @pytest.mark.asyncio - async def test_check_health(self, create_server, mock_llm_config): + async def test_check_health(self, mock_llm_config): """Test health check functionality.""" # Mock the engine's check_health method @@ -164,7 +164,8 @@ async def check_health(self): self.check_health_called = True # Create a server with a mocked engine - server = await create_server(mock_llm_config, engine_cls=LocalMockEngine) + server = LLMServer.sync_init(mock_llm_config, engine_cls=LocalMockEngine) + await server.start() # Perform the health check, no exceptions should be raised await server.check_health() @@ -173,9 +174,10 @@ async def check_health(self): assert server.engine.check_health_called @pytest.mark.asyncio - async def test_llm_config_property(self, create_server, mock_llm_config): + async def test_llm_config_property(self, mock_llm_config): """Test the llm_config property.""" - server = await create_server(mock_llm_config, engine_cls=MockVLLMEngine) + server = LLMServer.sync_init(mock_llm_config, engine_cls=MockVLLMEngine) + await server.start() llm_config = await server.llm_config() assert isinstance(llm_config, type(mock_llm_config)) @@ -269,12 +271,13 @@ async def test_multiplexed_request_handling( ) @pytest.mark.asyncio - async def test_push_telemetry(self, create_server, mock_llm_config): + async def test_push_telemetry(self, mock_llm_config): """Test that the telemetry push is called properly.""" with patch( "ray.llm._internal.serve.deployments.llm.llm_server.push_telemetry_report_for_all_models" ) as mock_push_telemetry: - await create_server(mock_llm_config, engine_cls=MockVLLMEngine) + server = LLMServer.sync_init(mock_llm_config, engine_cls=MockVLLMEngine) + await server.start() mock_push_telemetry.assert_called_once() @pytest.mark.parametrize("api_type", ["chat", "completions"]) From 87c965afa33b6eaa92758e5b917b951965dbd34b Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Sun, 27 Jul 2025 01:52:23 -0700 Subject: [PATCH 0363/1566] [serve.llm] refactor LoRA downloading / utilities (#54946) Signed-off-by: Douglas Strodtman --- .../batch/stages/vllm_engine_stage.py | 2 +- python/ray/llm/_internal/common/constants.py | 13 + python/ray/llm/_internal/common/models.py | 49 +++ .../_internal/common/utils/download_utils.py | 31 -- .../llm/_internal/common/utils/lora_utils.py | 233 +++++++++++++ .../serve/deployments/llm/llm_server.py | 12 +- .../llm/multiplex/lora_model_loader.py | 173 ---------- .../serve/deployments/llm/multiplex/utils.py | 318 ------------------ .../serve/deployments/routers/router.py | 12 +- .../observability/usage_telemetry/usage.py | 2 +- .../llm/multiplex => utils}/__init__.py | 0 .../_internal/serve/utils/lora_serve_utils.py | 223 ++++++++++++ .../llm/multiplex/test_lora_model_loader.py | 57 ++-- .../llm/multiplex/test_multiplex_utils.py | 2 +- .../llm/tests/serve/mocks/mock_vllm_engine.py | 4 +- 15 files changed, 562 insertions(+), 569 deletions(-) create mode 100644 python/ray/llm/_internal/common/constants.py create mode 100644 python/ray/llm/_internal/common/models.py create mode 100644 python/ray/llm/_internal/common/utils/lora_utils.py delete mode 100644 python/ray/llm/_internal/serve/deployments/llm/multiplex/lora_model_loader.py delete mode 100644 python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py rename python/ray/llm/_internal/serve/{deployments/llm/multiplex => utils}/__init__.py (100%) create mode 100644 python/ray/llm/_internal/serve/utils/lora_serve_utils.py diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index 9f01c222f771..b20213fc52f2 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -22,9 +22,9 @@ from ray.llm._internal.common.utils.cloud_utils import is_remote_path from ray.llm._internal.common.utils.download_utils import ( NodeModelDownloadable, - download_lora_adapter, download_model_files, ) +from ray.llm._internal.common.utils.lora_utils import download_lora_adapter from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy logger = logging.getLogger(__name__) diff --git a/python/ray/llm/_internal/common/constants.py b/python/ray/llm/_internal/common/constants.py new file mode 100644 index 000000000000..0b33ecad77ce --- /dev/null +++ b/python/ray/llm/_internal/common/constants.py @@ -0,0 +1,13 @@ +""" +Generic constants for common utilities. + +These constants are used by generic utilities and should not contain +serve-specific or batch-specific values. +""" + +# Cloud object caching timeouts (in seconds) +CLOUD_OBJECT_EXISTS_EXPIRE_S = 300 # 5 minutes +CLOUD_OBJECT_MISSING_EXPIRE_S = 30 # 30 seconds + +# LoRA adapter configuration file name +LORA_ADAPTER_CONFIG_NAME = "adapter_config.json" diff --git a/python/ray/llm/_internal/common/models.py b/python/ray/llm/_internal/common/models.py new file mode 100644 index 000000000000..f5bc3360a289 --- /dev/null +++ b/python/ray/llm/_internal/common/models.py @@ -0,0 +1,49 @@ +""" +Generic model definitions for common utilities. + +These models represent generic concepts that can be used by both +serve and batch components. +""" + +import asyncio +import threading +from functools import partial +from typing import Awaitable, Callable, TypeVar + +T = TypeVar("T") + + +# DiskMultiplexConfig removed - it's serve-specific and belongs in serve/configs/server_models.py + + +class GlobalIdManager: + """Thread-safe global ID manager for assigning unique IDs.""" + + def __init__(self): + self._counter = 0 + self._lock = threading.Lock() + + def next(self) -> int: + """Get the next unique ID.""" + with self._lock: + self._counter += 1 + return self._counter + + +# Global instance +global_id_manager = GlobalIdManager() + + +def make_async(_func: Callable[..., T]) -> Callable[..., Awaitable[T]]: + """Take a blocking function, and run it on in an executor thread. + + This function prevents the blocking function from blocking the asyncio event loop. + The code in this function needs to be thread safe. + """ + + def _async_wrapper(*args, **kwargs) -> asyncio.Future: + loop = asyncio.get_event_loop() + func = partial(_func, *args, **kwargs) + return loop.run_in_executor(executor=None, func=func) + + return _async_wrapper diff --git a/python/ray/llm/_internal/common/utils/download_utils.py b/python/ray/llm/_internal/common/utils/download_utils.py index 4d44707d7f0a..2d4e0db908d0 100644 --- a/python/ray/llm/_internal/common/utils/download_utils.py +++ b/python/ray/llm/_internal/common/utils/download_utils.py @@ -289,34 +289,3 @@ def download_model_files( downloader.get_extra_files() return model_path_or_id - - -def download_lora_adapter( - lora_name: str, - remote_path: Optional[str] = None, -) -> str: - """If remote_path is specified, pull the lora to the local - directory and return the local path. - - TODO: Refactor lora_model_loader in llm/_intenral/serve/deployments/llm/multiplex - and move them here to unify with this function. - - Args: - lora_name: The lora name. - remote_path: The remote path to the lora. If specified, the remote_path will be - used as the base path to load the lora. - - Returns: - The local path to the lora if remote_path is specified, otherwise the lora name. - """ - assert not is_remote_path( - lora_name - ), "lora_name cannot be a remote path (s3:// or gs://)" - - if remote_path is None: - return lora_name - - lora_path = os.path.join(remote_path, lora_name) - mirror_config = CloudMirrorConfig(bucket_uri=lora_path) - downloader = CloudModelDownloader(lora_name, mirror_config) - return downloader.get_model(tokenizer_only=False) diff --git a/python/ray/llm/_internal/common/utils/lora_utils.py b/python/ray/llm/_internal/common/utils/lora_utils.py new file mode 100644 index 000000000000..4f53705778d3 --- /dev/null +++ b/python/ray/llm/_internal/common/utils/lora_utils.py @@ -0,0 +1,233 @@ +""" +Generic LoRA utilities and abstractions. + +This module provides canonical LoRA utility functions for both serve and batch components. +It serves as the single source of truth for LoRA operations and builds on the generic +download primitives from download_utils.py. +""" + +import json +import os +import subprocess +import time +from functools import wraps +from typing import Any, Callable, List, Optional, TypeVar, Union + +from ray.llm._internal.common.constants import ( + CLOUD_OBJECT_EXISTS_EXPIRE_S, + CLOUD_OBJECT_MISSING_EXPIRE_S, + LORA_ADAPTER_CONFIG_NAME, +) + +# Import the global ID manager from common models +from ray.llm._internal.common.models import make_async +from ray.llm._internal.common.observability.logging import get_logger +from ray.llm._internal.common.utils.cloud_utils import ( + CloudFileSystem, + is_remote_path, + remote_object_cache, +) +from ray.llm._internal.common.utils.download_utils import ( + CloudMirrorConfig, + CloudModelDownloader, +) + +logger = get_logger(__name__) + +# Sentinel object for missing cloud objects +CLOUD_OBJECT_MISSING = object() + +DEFAULT_LORA_MAX_TOTAL_TOKENS = 4096 +T = TypeVar("T") + + +def get_base_model_id(model_id: str) -> str: + """Get base model id for a given model id.""" + return model_id.split(":")[0] + + +def get_lora_id(lora_model_id: str) -> str: + """Get lora id for a given lora model id.""" + return ":".join(lora_model_id.split(":")[1:]) + + +def clean_model_id(model_id: str) -> str: + """Clean model ID for filesystem usage by replacing slashes with dashes.""" + return model_id.replace("/", "--") + + +def clear_directory(dir: str) -> None: + """Clear a directory recursively, ignoring missing directories.""" + try: + subprocess.run(f"rm -r {dir}", shell=True, check=False) + except FileNotFoundError: + pass + + +def retry_with_exponential_backoff( + max_tries: int, + exception_to_check: type[Exception], + base_delay: float = 1, + max_delay: float = 32, + exponential_base: float = 2, +) -> Callable[[Callable[..., T]], Callable[..., T]]: + """Retry decorator with exponential backoff.""" + + def decorator(func: Callable[..., T]) -> Callable[..., T]: + @wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> T: + delay = base_delay + last_exception = None + + for attempt in range(max_tries): + try: + return func(*args, **kwargs) + except exception_to_check as e: + last_exception = e + if attempt == max_tries - 1: # Last attempt + raise last_exception + + # Log the failure and retry + logger.warning( + f"Attempt {attempt + 1}/{max_tries} failed: {str(e)}. " + f"Retrying in {delay} seconds..." + ) + time.sleep(delay) + # Calculate next delay with exponential backoff + delay = min(delay * exponential_base, max_delay) + + # This should never be reached due to the raise in the loop + raise last_exception if last_exception else RuntimeError( + "Unexpected error in retry logic" + ) + + return wrapper + + return decorator + + +def sync_files_with_lock( + bucket_uri: str, + local_path: str, + timeout: Optional[float] = None, + substrings_to_include: Optional[List[str]] = None, +) -> None: + """Sync files from bucket_uri to local_path with file locking.""" + from filelock import FileLock + + logger.info("Downloading %s to %s", bucket_uri, local_path) + + with FileLock(local_path + ".lock", timeout=timeout or -1): + try: + CloudFileSystem.download_files( + path=local_path, + bucket_uri=bucket_uri, + substrings_to_include=substrings_to_include, + ) + except Exception as e: + logger.error( + "Failed to sync files from %s to %s: %s", + bucket_uri, + local_path, + str(e), + ) + raise + + +@make_async +def _get_object_from_cloud(object_uri: str) -> Union[str, object]: + """Gets an object from the cloud.""" + if object_uri.endswith("/"): + raise ValueError(f'object_uri {object_uri} must not end with a "/".') + + body_str = CloudFileSystem.get_file(object_uri) + + if body_str is None: + logger.info(f"{object_uri} does not exist.") + return CLOUD_OBJECT_MISSING + else: + return body_str + + +@remote_object_cache( + max_size=4096, + missing_expire_seconds=CLOUD_OBJECT_MISSING_EXPIRE_S, + exists_expire_seconds=CLOUD_OBJECT_EXISTS_EXPIRE_S, + missing_object_value=CLOUD_OBJECT_MISSING, +) +async def get_object_from_cloud(object_uri: str) -> Union[str, object]: + """Gets an object from the cloud with caching.""" + return await _get_object_from_cloud(object_uri) + + +async def get_lora_finetuned_context_length(bucket_uri: str) -> Optional[int]: + """Gets the sequence length used to tune the LoRA adapter.""" + if bucket_uri.endswith("/"): + bucket_uri = bucket_uri.rstrip("/") + object_uri = f"{bucket_uri}/{LORA_ADAPTER_CONFIG_NAME}" + + object_str_or_missing_message = await get_object_from_cloud(object_uri) + + if object_str_or_missing_message is CLOUD_OBJECT_MISSING: + logger.debug(f"LoRA adapter config file not found at {object_uri}") + return None + + try: + adapter_config_str = object_str_or_missing_message + adapter_config = json.loads(adapter_config_str) + return adapter_config.get("max_length") + except (json.JSONDecodeError, AttributeError) as e: + logger.warning(f"Failed to parse LoRA adapter config at {object_uri}: {e}") + return None + + +def get_lora_model_ids( + dynamic_lora_loading_path: str, + base_model_id: str, +) -> List[str]: + """Get the model IDs of all the LoRA models. + + The dynamic_lora_loading_path is expected to hold subfolders each for + a different lora checkpoint. Each subfolder name will correspond to + the unique identifier for the lora checkpoint. The lora model is + accessible via :. Therefore, we prepend + the base_model_id to each subfolder name. + + Args: + dynamic_lora_loading_path: the cloud folder that contains all the LoRA + weights. + base_model_id: model ID of the base model. + + Returns: + List of LoRA fine-tuned model IDs. Does not include the base model + itself. + """ + lora_subfolders = CloudFileSystem.list_subfolders(dynamic_lora_loading_path) + + lora_model_ids = [] + for subfolder in lora_subfolders: + lora_model_ids.append(f"{base_model_id}:{subfolder}") + + return lora_model_ids + + +def download_lora_adapter( + lora_name: str, + remote_path: Optional[str] = None, +) -> str: + """Download a LoRA adapter from remote storage. + + This maintains backward compatibility with existing code. + """ + + assert not is_remote_path( + lora_name + ), "lora_name cannot be a remote path (s3:// or gs://)" + + if remote_path is None: + return lora_name + + lora_path = os.path.join(remote_path, lora_name) + mirror_config = CloudMirrorConfig(bucket_uri=lora_path) + downloader = CloudModelDownloader(lora_name, mirror_config) + return downloader.get_model(tokenizer_only=False) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 4f9c7edd4f24..b2a97d8414d8 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -30,9 +30,6 @@ LLMConfig, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine -from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( - LoraModelLoader, -) from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine from ray.llm._internal.serve.deployments.utils.batcher import Batcher from ray.llm._internal.serve.deployments.utils.server_utils import ( @@ -42,6 +39,10 @@ from ray.llm._internal.serve.observability.usage_telemetry.usage import ( push_telemetry_report_for_all_models, ) +from ray.llm._internal.serve.utils.lora_serve_utils import ( + LoraModelLoader, + get_lora_mirror_config, +) if TYPE_CHECKING: from ray.llm._internal.serve.configs.openai_api_models import ( @@ -220,9 +221,12 @@ def _init_multiplex_loader( ) async def _load_model(lora_model_id: str) -> DiskMultiplexConfig: + lora_mirror_config = await get_lora_mirror_config( + lora_model_id, self._llm_config + ) return await model_downloader.load_model( lora_model_id=lora_model_id, - llm_config=self._llm_config, + lora_mirror_config=lora_mirror_config, ) self._load_model = serve.multiplexed( diff --git a/python/ray/llm/_internal/serve/deployments/llm/multiplex/lora_model_loader.py b/python/ray/llm/_internal/serve/deployments/llm/multiplex/lora_model_loader.py deleted file mode 100644 index 4886e095077c..000000000000 --- a/python/ray/llm/_internal/serve/deployments/llm/multiplex/lora_model_loader.py +++ /dev/null @@ -1,173 +0,0 @@ -import asyncio -import os -from typing import Dict, Optional - -from ray.llm._internal.common.utils.cloud_utils import LoraMirrorConfig -from ray.llm._internal.serve.configs.server_models import ( - DiskMultiplexConfig, - LLMConfig, -) -from ray.llm._internal.serve.deployments.llm.multiplex.utils import ( - clean_model_id, - clear_directory, - get_lora_id, - get_lora_mirror_config, - make_async, - retry_with_exponential_backoff, - sync_model, -) -from ray.llm._internal.serve.observability.logging import get_logger - -logger = get_logger(__name__) - - -class GlobalCounter: - """Manage a global counter - - This counter should be a singleton global to the process. - """ - - def __init__(self): - # Initialize to 0, but we never return 0 - self.global_id = 0 - - def next(self): - # The id starts at 1 - self.global_id += 1 - return self.global_id - - -global_id_manager = GlobalCounter() - - -class LoraModelLoader: - """Download Lora weights from remote, and manage a CPU memory cache. - - This entire downloader is sync. - - Args: - lora_root: Path to directory where LoRA weights will be cached. - download_timeout_s: How much time the download subprocess has to download - a single LoRA before a timeout. None means no timeout. - max_tries: Number of times to try downloading a LoRA model if - the download subprocess fails. - """ - - def __init__( - self, - lora_root: Optional[str] = None, - download_timeout_s: Optional[float] = None, - max_tries: int = 1, - ): - self.lora_root = lora_root or "/tmp/ray/llm/lora/cache" - self.disk_cache: Dict[str, DiskMultiplexConfig] = {} - self.active_syncing_tasks: Dict[str, asyncio.Task[DiskMultiplexConfig]] = {} - if download_timeout_s is not None and download_timeout_s <= 0: - raise ValueError( - f"download_timeout_s must be None or >0, got {download_timeout_s}" - ) - self.download_timeout_s = download_timeout_s - if max_tries < 1: - raise ValueError(f"max_tries must be >=1, got {max_tries}") - self.max_tries = max_tries - - async def load_model( - self, lora_model_id: str, llm_config: LLMConfig - ) -> DiskMultiplexConfig: - """Load a model. - - This function will load a Lora model from s3 and cache it on disk and in memory. - This function runs in a separate thread because it does synchronous disk operations. - """ - if lora_model_id in self.disk_cache: - return self.disk_cache[lora_model_id] - - if lora_model_id not in self.active_syncing_tasks: - lora_mirror_config = await get_lora_mirror_config(lora_model_id, llm_config) - # Cannot use _load_model directly in create_task - # due to TypeError: a coroutine was expected, got DiskMultiplexConfig: - return await self._load_model(lora_mirror_config) - - @make_async - def _load_model(self, lora_mirror_config: LoraMirrorConfig) -> DiskMultiplexConfig: - return self._load_model_sync(lora_mirror_config) - - @make_async - def clear_cache(self): - """Clear the disk cache - - Note: clear_disk_cache currently blindly clears the disk cache and is not - thread / process safe because another process - may be reading the cache as it is being cleared. - - TODO(tchordia): come up with a way to clear the Lora Disk cache. - """ - clear_directory(self.lora_root) - - def _model_dir_path(self, model_id: str) -> str: - """Construct the path for the lora weight. - - Given a lora model id is expected to be in the format of - base_model_id:lora_id - This function will return the path to the directory where the lora weights - lora_root/lora_id - """ - lora_id = get_lora_id(clean_model_id(model_id)) - path = os.path.join(self.lora_root, lora_id) - os.makedirs(path, exist_ok=True) - return path - - def _download_lora(self, lora_mirror_config: LoraMirrorConfig) -> str: - # Note (genesu): `model_local_path` affects where the lora weights are stored - # on local disk. - model_local_path = self._model_dir_path(lora_mirror_config.lora_model_id) - sync_model( - lora_mirror_config.bucket_uri, - model_local_path, - timeout=self.download_timeout_s, - sync_args=lora_mirror_config.sync_args, - ) - return model_local_path - - def _load_model_sync( - self, lora_mirror_config: LoraMirrorConfig - ) -> DiskMultiplexConfig: - """Load a model from the given mirror configuration.""" - # Apply retry decorator to _download_lora at runtime with instance parameters - download_with_retries = retry_with_exponential_backoff( - max_tries=self.max_tries, - exception_to_check=Exception, # Catch any exception from CloudFileSystem - )(lambda config: self._download_lora(config)) - - local_path = download_with_retries(lora_mirror_config) - # the lora_assigned_id is consistent for the lifetime of the disk cache entry - # If the disk cache is cleared, a new id will be generated. - return DiskMultiplexConfig.model_validate( - { - "model_id": lora_mirror_config.lora_model_id, - "max_total_tokens": lora_mirror_config.max_total_tokens, - "local_path": local_path, - "lora_assigned_int_id": global_id_manager.next(), - } - ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py b/python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py deleted file mode 100644 index 4911ea8bd7ad..000000000000 --- a/python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py +++ /dev/null @@ -1,318 +0,0 @@ -import json -import subprocess -import time -from functools import wraps -from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar, Union - -from fastapi import HTTPException -from filelock import FileLock - -from ray.llm._internal.common.utils.cloud_utils import ( - CloudFileSystem, - LoraMirrorConfig, - remote_object_cache, -) -from ray.llm._internal.serve.configs.constants import ( - CLOUD_OBJECT_EXISTS_EXPIRE_S, - CLOUD_OBJECT_MISSING_EXPIRE_S, - LORA_ADAPTER_CONFIG_NAME, -) -from ray.llm._internal.serve.configs.server_models import LLMConfig -from ray.llm._internal.serve.deployments.utils.server_utils import make_async -from ray.llm._internal.serve.observability.logging import get_logger - -CLOUD_OBJECT_MISSING = object() - -# Type variable for the retry decorator -T = TypeVar("T") - -logger = get_logger(__name__) - - -def get_base_model_id(model_id: str) -> str: - """Get base model id for a given model id. - - A LoRA fine-tuned model_id is expected to be in the format of - base_model_id:lora_id - e.g. meta-llama/Llama-2-7b-chat-hf:my_suffix:aBc1234 - - The returned base model id is in the format of - base_model_id - e.g. meta-llama/Llama-2-7b-chat-hf - - This function can safely take any string. - """ - return model_id.split(":")[0] - - -def get_lora_id(lora_model_id: str) -> str: - """Get lora id for a given lora model id. - - A LoRA fine-tuned model_id is expected to be in the format of - base_model_id:lora_id - e.g. meta-llama/Llama-2-7b-chat-hf:my_suffix:aBc1234 - - The returned lora id is in the format of - lora_id - e.g. my_suffix:aBc1234 - - This function can safely take any string. - """ - return ":".join(lora_model_id.split(":")[1:]) - - -def clean_model_id(model_id: str): - return model_id.replace("/", "--") - - -def clear_directory(dir: str): - try: - subprocess.run(f"rm -r {dir}", check=False) - except FileNotFoundError: - pass - - -def sync_model( - bucket_uri: str, - local_path: str, - timeout: Optional[float] = None, - sync_args: Optional[List[str]] = None, -): - """Sync from bucket_uri to local_path. - - This method isn't re-entrant and will block (up to timeout) if already syncing - at a given path. - """ - - logger.info("Downloading %s to %s", bucket_uri, local_path) - - with FileLock(local_path + ".lock", timeout=timeout or -1): - try: - # Use CloudFileSystem.download_files for the sync operation - CloudFileSystem.download_files( - path=local_path, - bucket_uri=bucket_uri, - ) - except Exception as e: - logger.error( - "Failed to sync model (%s) from %s to %s", - str(e), - bucket_uri, - local_path, - ) - raise - - -def retry_with_exponential_backoff( - max_tries: int, - exception_to_check: type[Exception], - base_delay: float = 1, - max_delay: float = 32, - exponential_base: float = 2, -) -> Callable[[Callable[..., T]], Callable[..., T]]: - """Retry decorator with exponential backoff. - - Args: - max_tries: Maximum number of retry attempts - exception_to_check: Exception type to catch and retry on - base_delay: Initial delay between retries in seconds - max_delay: Maximum delay between retries in seconds - exponential_base: Base for exponential calculation - """ - - def decorator(func: Callable[..., T]) -> Callable[..., T]: - @wraps(func) - def wrapper(*args: Any, **kwargs: Any) -> T: - delay = base_delay - last_exception = None - - for attempt in range(max_tries): - try: - return func(*args, **kwargs) - except exception_to_check as e: - last_exception = e - if attempt == max_tries - 1: # Last attempt - raise last_exception - - # Log the failure and retry - logger.warning( - f"Attempt {attempt + 1}/{max_tries} failed: {str(e)}. " - f"Retrying in {delay} seconds..." - ) - time.sleep(delay) - # Calculate next delay with exponential backoff - delay = min(delay * exponential_base, max_delay) - - # This should never be reached due to the raise in the loop - raise last_exception if last_exception else RuntimeError( - "Unexpected error in retry logic" - ) - - return wrapper - - return decorator - - -@make_async -def _get_object_from_cloud(object_uri: str) -> Union[str, object]: - """Gets an object from the cloud. - - Don't call this function directly. Use get_object_from_cloud() instead, so - the results can be cached. - - Return: Returns the body of the object. If the object doesn't exist, - returns a sentinel CLOUD_OBJECT_MISSING object instead. - """ - if object_uri.endswith("/"): - raise ValueError(f'object_uri {object_uri} must not end with a "/".') - - body_str = CloudFileSystem.get_file(object_uri) - - if body_str is None: - logger.info(f"{object_uri} does not exist.") - return CLOUD_OBJECT_MISSING - else: - return body_str - - -@remote_object_cache( - max_size=4096, - missing_expire_seconds=CLOUD_OBJECT_MISSING_EXPIRE_S, - exists_expire_seconds=CLOUD_OBJECT_EXISTS_EXPIRE_S, - missing_object_value=CLOUD_OBJECT_MISSING, -) -async def get_object_from_cloud(object_uri: str) -> Union[str, object]: - """Gets an object from the cloud with caching. - - The cache will store missing objects for a short time and existing objects for - a longer time. This prevents unnecessary cloud API calls when objects don't exist - while ensuring we don't cache missing objects for too long in case they get created. - - Returns: - The body of the object if it exists, or CLOUD_OBJECT_MISSING if it doesn't. - """ - return await _get_object_from_cloud(object_uri) - - -async def get_lora_finetuned_context_length(bucket_uri: str): - """Gets the sequence length used to tune the LoRA adapter. - - Return: Returns the max sequence length for the adapter, if it exists. - - Raises: HTTPException if the LoRA adapter config file isn't available - in the cloud storage repository. - """ - - if bucket_uri.endswith("/"): - bucket_uri = bucket_uri.rstrip("/") - object_uri = f"{bucket_uri}/{LORA_ADAPTER_CONFIG_NAME}" - - object_str_or_missing_message = await get_object_from_cloud(object_uri) - - if object_str_or_missing_message is CLOUD_OBJECT_MISSING: - raise HTTPException( - 404, - f"Unable to find LoRA adapter config file " - f'"{LORA_ADAPTER_CONFIG_NAME}" in folder {bucket_uri}. ' - "Check that the file exists and that you have read permissions.", - ) - else: - adapter_config_str = object_str_or_missing_message - adapter_config = json.loads(adapter_config_str) - return adapter_config.get("context_length") - - -def get_lora_model_ids( - dynamic_lora_loading_path: str, - base_model_id: str, -) -> List[str]: - """Get the model IDs of all the LoRA models. - - The dynamic_lora_loading_path is expected to hold subfolders each for - a different lora checkpoint. Each subfolder name will correspond to - the unique identifier for the lora checkpoint. The lora model is - accessible via :. Therefore, we prepend - the base_model_id to each subfolder name. - - Args: - dynamic_lora_loading_path: the cloud folder that contains all the LoRA - weights. - base_model_id: model ID of the base model. - - Returns: - List of LoRA fine-tuned model IDs. Does not include the base model - itself. - """ - - lora_subfolders = CloudFileSystem.list_subfolders(dynamic_lora_loading_path) - - lora_model_ids = [] - for subfolder in lora_subfolders: - lora_model_ids.append(f"{base_model_id}:{subfolder}") - - return lora_model_ids - - -async def download_multiplex_config_info( - model_id: str, base_path: str -) -> Tuple[str, int]: - """Downloads info needed to create a multiplex config. - - Downloads objects using cloud storage provider APIs. - - Returns: 2-tuple containing - 1. A bucket_uri for the bucket containing LoRA weights and config. - 2. The maximum LoRA sequence length. - - Raises: HTTPException if the LoRA adapter config file isn't available - in the cloud storage repository. - """ - - bucket_uri = f"{base_path}/{model_id}" - ft_context_length = await get_lora_finetuned_context_length(bucket_uri) - return bucket_uri, ft_context_length - - -async def get_lora_model_metadata( - model_id: str, llm_config: LLMConfig -) -> Dict[str, Any]: - """Get the lora model metadata for a given model id and llm config. - - This is used to get the metadata for the model with the given model id. - """ - # Note (genesu): `model_id` passed is a lora model id where it's in a form of - # base_model_id:suffix:id - base_model_id = get_base_model_id(model_id) - lora_id = get_lora_id(model_id) - base_path = llm_config.lora_config.dynamic_lora_loading_path - - # Examples of the variables: - # model_id: "meta-llama/Meta-Llama-3.1-8B-Instruct:my_suffix:aBc1234" - # base_path: "s3://ray-llama-weights" - # bucket_uri: "s3://ray-llama-weights/my_suffix:aBc1234" - ( - bucket_uri, - ft_context_length, - ) = await download_multiplex_config_info(lora_id, base_path) - - return { - "model_id": model_id, - "base_model_id": base_model_id, - "max_request_context_length": ft_context_length, - # Note (genesu): `bucket_uri` affects where the lora weights are downloaded - # from remote location. - "bucket_uri": bucket_uri, - } - - -async def get_lora_mirror_config( - model_id: str, - llm_config: LLMConfig, -) -> LoraMirrorConfig: - metadata = await get_lora_model_metadata(model_id, llm_config) - - return LoraMirrorConfig( - lora_model_id=model_id, - bucket_uri=metadata["bucket_uri"], - max_total_tokens=metadata["max_request_context_length"], - ) diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index 2389d05decff..ac79d7e22a8c 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -20,6 +20,10 @@ from ray import serve from ray._common.utils import get_or_create_event_loop +from ray.llm._internal.common.utils.lora_utils import ( + get_base_model_id, + get_lora_model_ids, +) from ray.llm._internal.serve.configs.constants import ( DEFAULT_LLM_ROUTER_HTTP_TIMEOUT, DEFAULT_LLM_ROUTER_INITIAL_REPLICAS, @@ -48,11 +52,6 @@ to_model_metadata, ) from ray.llm._internal.serve.configs.server_models import LLMConfig -from ray.llm._internal.serve.deployments.llm.multiplex.utils import ( - get_base_model_id, - get_lora_model_ids, - get_lora_model_metadata, -) from ray.llm._internal.serve.deployments.routers.middleware import ( SetRequestIdMiddleware, add_exception_handling_middleware, @@ -63,6 +62,9 @@ add_http_metrics_middleware, metrics_lifespan, ) +from ray.llm._internal.serve.utils.lora_serve_utils import ( + get_lora_model_metadata, +) from ray.serve.config import AutoscalingConfig from ray.serve.handle import DeploymentHandle diff --git a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py index 2ad287a00dbb..6347388476ec 100644 --- a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py @@ -9,7 +9,7 @@ ) from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.common.observability.telemetry_utils import DEFAULT_GPU_TYPE -from ray.llm._internal.serve.deployments.llm.multiplex.utils import get_lora_model_ids +from ray.llm._internal.common.utils.lora_utils import get_lora_model_ids from ray.llm._internal.serve.observability.logging import get_logger if TYPE_CHECKING: diff --git a/python/ray/llm/_internal/serve/deployments/llm/multiplex/__init__.py b/python/ray/llm/_internal/serve/utils/__init__.py similarity index 100% rename from python/ray/llm/_internal/serve/deployments/llm/multiplex/__init__.py rename to python/ray/llm/_internal/serve/utils/__init__.py diff --git a/python/ray/llm/_internal/serve/utils/lora_serve_utils.py b/python/ray/llm/_internal/serve/utils/lora_serve_utils.py new file mode 100644 index 000000000000..e5b28e2d97e3 --- /dev/null +++ b/python/ray/llm/_internal/serve/utils/lora_serve_utils.py @@ -0,0 +1,223 @@ +""" +Serve-specific LoRA utilities that use generic abstractions from lora_utils.py. + +This module provides serve-specific functionality while using the generic +LoRA abstractions from common/lora_utils.py. This ensures clean separation +between generic and serve-specific concerns. +""" + +import asyncio +import json +import os +from typing import Any, Dict, Optional + +from fastapi import HTTPException + +from ray.llm._internal.common.constants import LORA_ADAPTER_CONFIG_NAME +from ray.llm._internal.common.models import global_id_manager, make_async +from ray.llm._internal.common.utils.cloud_utils import ( + LoraMirrorConfig, +) +from ray.llm._internal.common.utils.lora_utils import ( + CLOUD_OBJECT_MISSING, + clean_model_id, + clear_directory, + get_base_model_id, + get_lora_id, + get_object_from_cloud, + retry_with_exponential_backoff, + sync_files_with_lock, +) +from ray.llm._internal.serve.configs.server_models import DiskMultiplexConfig, LLMConfig +from ray.llm._internal.serve.observability.logging import get_logger + +logger = get_logger(__name__) + + +async def get_lora_finetuned_context_length(bucket_uri: str) -> Optional[int]: + """Gets the sequence length used to tune the LoRA adapter. + + Return: Returns the max sequence length for the adapter, if it exists. + + Raises: HTTPException if the LoRA adapter config file isn't available + in the cloud storage repository. + """ + if bucket_uri.endswith("/"): + bucket_uri = bucket_uri.rstrip("/") + object_uri = f"{bucket_uri}/{LORA_ADAPTER_CONFIG_NAME}" + + object_str_or_missing_message = await get_object_from_cloud(object_uri) + + if object_str_or_missing_message is CLOUD_OBJECT_MISSING: + raise HTTPException( + 404, + f"Unable to find LoRA adapter config file " + f'"{LORA_ADAPTER_CONFIG_NAME}" in folder {bucket_uri}. ' + "Check that the file exists and that you have read permissions.", + ) + else: + adapter_config_str = object_str_or_missing_message + adapter_config = json.loads(adapter_config_str) + return adapter_config.get("max_length") + + +async def download_multiplex_config_info( + model_id: str, base_path: str +) -> tuple[str, Optional[int]]: + """Downloads info needed to create a multiplex config. + + Downloads objects using cloud storage provider APIs. + + Returns: 2-tuple containing + 1. A bucket_uri for the bucket containing LoRA weights and config. + 2. The maximum LoRA sequence length. + + Raises: HTTPException if the LoRA adapter config file isn't available + in the cloud storage repository. + """ + bucket_uri = f"{base_path}/{model_id}" + ft_context_length = await get_lora_finetuned_context_length(bucket_uri) + return bucket_uri, ft_context_length + + +async def get_lora_model_metadata( + model_id: str, llm_config: LLMConfig +) -> Dict[str, Any]: + """Get the lora model metadata for a given model id and llm config. + + This is used to get the metadata for the model with the given model id. + """ + # Note (genesu): `model_id` passed is a lora model id where it's in a form of + # base_model_id:suffix:id + base_model_id = get_base_model_id(model_id) + lora_id = get_lora_id(model_id) + base_path = llm_config.lora_config.dynamic_lora_loading_path + + # Examples of the variables: + # model_id: "meta-llama/Meta-Llama-3.1-8B-Instruct:my_suffix:aBc1234" + # base_path: "s3://ray-llama-weights" + # bucket_uri: "s3://ray-llama-weights/my_suffix:aBc1234" + ( + bucket_uri, + ft_context_length, + ) = await download_multiplex_config_info(lora_id, base_path) + + return { + "model_id": model_id, + "base_model_id": base_model_id, + "max_request_context_length": ft_context_length, + # Note (genesu): `bucket_uri` affects where the lora weights are downloaded + # from remote location. + "bucket_uri": bucket_uri, + } + + +async def get_lora_mirror_config( + model_id: str, + llm_config: LLMConfig, +) -> LoraMirrorConfig: + """Get LoRA mirror configuration for serve-specific LLM config.""" + metadata = await get_lora_model_metadata(model_id, llm_config) + + return LoraMirrorConfig( + lora_model_id=model_id, + bucket_uri=metadata["bucket_uri"], + max_total_tokens=metadata["max_request_context_length"], + sync_args=None, + ) + + +class LoraModelLoader: + """Download LoRA weights from remote storage and manage disk cache. + + This class is serve-specific as it depends on DiskMultiplexConfig and + other serve-specific concepts. + """ + + def __init__( + self, + lora_root: Optional[str] = None, + download_timeout_s: Optional[float] = None, + max_tries: int = 1, + ): + self.lora_root = lora_root or "/tmp/ray/llm/lora/cache" + self.disk_cache: Dict[str, DiskMultiplexConfig] = {} + self.active_syncing_tasks: Dict[str, asyncio.Task[DiskMultiplexConfig]] = {} + if download_timeout_s is not None and download_timeout_s <= 0: + raise ValueError( + f"download_timeout_s must be None or >0, got {download_timeout_s}" + ) + self.download_timeout_s = download_timeout_s + if max_tries < 1: + raise ValueError(f"max_tries must be >=1, got {max_tries}") + self.max_tries = max_tries + + async def load_model( + self, lora_model_id: str, lora_mirror_config: LoraMirrorConfig + ) -> DiskMultiplexConfig: + """Load a LoRA model.""" + if lora_model_id in self.disk_cache: + return self.disk_cache[lora_model_id] + + if lora_model_id not in self.active_syncing_tasks: + task = asyncio.create_task(self._load_model_async(lora_mirror_config)) + task.add_done_callback( + lambda result: self.active_syncing_tasks.pop(lora_model_id, None) + ) + self.active_syncing_tasks[lora_model_id] = task + else: + task = self.active_syncing_tasks[lora_model_id] + + disk_config = await asyncio.shield(task) + self.disk_cache[lora_model_id] = disk_config + return disk_config + + async def _load_model_async( + self, lora_mirror_config: LoraMirrorConfig + ) -> DiskMultiplexConfig: + return await self._load_model(lora_mirror_config) + + @make_async + def _load_model(self, lora_mirror_config: LoraMirrorConfig) -> DiskMultiplexConfig: + return self._load_model_sync(lora_mirror_config) + + @make_async + def clear_cache(self): + """Clear the disk cache.""" + clear_directory(self.lora_root) + + def _model_dir_path(self, model_id: str) -> str: + """Construct the path for the lora weight.""" + lora_id = get_lora_id(clean_model_id(model_id)) + path = os.path.join(self.lora_root, lora_id) + os.makedirs(path, exist_ok=True) + return path + + def _download_lora(self, lora_mirror_config: LoraMirrorConfig) -> str: + """Download LoRA weights using generic download primitives.""" + model_local_path = self._model_dir_path(lora_mirror_config.lora_model_id) + sync_files_with_lock( + lora_mirror_config.bucket_uri, + model_local_path, + timeout=self.download_timeout_s, + ) + return model_local_path + + def _load_model_sync( + self, lora_mirror_config: LoraMirrorConfig + ) -> DiskMultiplexConfig: + """Load a model from the given mirror configuration.""" + download_with_retries = retry_with_exponential_backoff( + max_tries=self.max_tries, + exception_to_check=Exception, + )(lambda config: self._download_lora(config)) + + local_path = download_with_retries(lora_mirror_config) + return DiskMultiplexConfig.model_validate( + { + "model_id": lora_mirror_config.lora_model_id, + "max_total_tokens": lora_mirror_config.max_total_tokens, + "local_path": local_path, + "lora_assigned_int_id": global_id_manager.next(), + } + ) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_model_loader.py b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_model_loader.py index 5d81ef1f4877..fdab83d2b8f0 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_model_loader.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_lora_model_loader.py @@ -1,6 +1,6 @@ import asyncio import sys -from unittest.mock import AsyncMock, Mock, patch +from unittest.mock import Mock, patch import pytest @@ -11,9 +11,7 @@ LoraConfig, ModelLoadingConfig, ) -from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( - LoraModelLoader, -) +from ray.llm._internal.serve.utils.lora_serve_utils import LoraModelLoader class TestLoRAModelLoader: @@ -58,30 +56,28 @@ async def test_basic_loading( # Create a simple mock for sync_model mock_sync_model = Mock() - with patch.multiple( - "ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader", - sync_model=mock_sync_model, - get_lora_mirror_config=AsyncMock(return_value=lora_mirror_config), + with patch( + "ray.llm._internal.serve.utils.lora_serve_utils.sync_files_with_lock", + side_effect=mock_sync_model, ): # First load should download the model disk_multiplex_config = await model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) - # Verify sync_model was called with correct parameters + # Verify sync_files_with_lock was called with correct parameters mock_sync_model.assert_called_once_with( "s3://fake-bucket-uri-abcd", "/tmp/ray/lora/cache/lora_id", timeout=model_loader.download_timeout_s, - sync_args=None, ) mock_sync_model.reset_mock() # Second time we don't load from S3 - should use cache new_disk_config = await model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) assert new_disk_config == disk_multiplex_config mock_sync_model.assert_not_called() @@ -94,8 +90,8 @@ async def test_retry_logic( # Counter to track number of sync_model calls attempt_count = 0 - # Create a mock for sync_model that tracks calls and fails initially - def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): + # Create a mock for sync_files_with_lock that tracks calls and fails initially + def mock_sync_model(bucket_uri, local_path, timeout=None): nonlocal attempt_count attempt_count += 1 @@ -105,15 +101,14 @@ def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): # Success on subsequent attempts return None - with patch.multiple( - "ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader", - sync_model=Mock(side_effect=mock_sync_model), - get_lora_mirror_config=AsyncMock(return_value=lora_mirror_config), + with patch( + "ray.llm._internal.serve.utils.lora_serve_utils.sync_files_with_lock", + side_effect=Mock(side_effect=mock_sync_model), ): # First load should trigger a retry disk_multiplex_config = await model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) # Verify retry happened exactly once @@ -125,7 +120,7 @@ def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): # Load again (should use cache, no download attempts) new_disk_config = await model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) # Verify no new download attempts @@ -142,8 +137,8 @@ async def test_concurrent_loading( # Counter to track number of sync_model calls attempt_count = 0 - # Create a mock for sync_model that tracks calls and fails initially - def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): + # Create a mock for sync_files_with_lock that tracks calls and fails initially + def mock_sync_model(bucket_uri, local_path, timeout=None): nonlocal attempt_count attempt_count += 1 @@ -153,10 +148,9 @@ def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): # Success on subsequent attempts return None - with patch.multiple( - "ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader", - sync_model=Mock(side_effect=mock_sync_model), - get_lora_mirror_config=AsyncMock(return_value=lora_mirror_config), + with patch( + "ray.llm._internal.serve.utils.lora_serve_utils.sync_files_with_lock", + side_effect=Mock(side_effect=mock_sync_model), ): # Clear cache to force download model_loader.disk_cache.clear() @@ -166,7 +160,7 @@ def mock_sync_model(bucket_uri, local_path, timeout=None, sync_args=None): asyncio.create_task( model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) ) for _ in range(3) @@ -190,16 +184,15 @@ async def test_max_retries_exhaustion( def mock_sync_model_always_fails(*args, **kwargs): raise RuntimeError("Simulated persistent failure") - with patch.multiple( - "ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader", - sync_model=Mock(side_effect=mock_sync_model_always_fails), - get_lora_mirror_config=AsyncMock(return_value=lora_mirror_config), + with patch( + "ray.llm._internal.serve.utils.lora_serve_utils.sync_files_with_lock", + side_effect=Mock(side_effect=mock_sync_model_always_fails), ): # Should fail after max_tries (3) attempts with pytest.raises(RuntimeError) as excinfo: await model_loader.load_model( lora_model_id=lora_model_id, - llm_config=llm_config, + lora_mirror_config=lora_mirror_config, ) assert "Simulated persistent failure" in str(excinfo.value) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_utils.py b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_utils.py index 187e04e40e71..4ab6ab97565e 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_utils.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/multiplex/test_multiplex_utils.py @@ -3,7 +3,7 @@ import pytest -from ray.llm._internal.serve.deployments.llm.multiplex.utils import ( +from ray.llm._internal.common.utils.lora_utils import ( retry_with_exponential_backoff, ) diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index c3f0af05e0a0..855edc14285d 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -18,9 +18,7 @@ LLMConfig, ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine -from ray.llm._internal.serve.deployments.llm.multiplex.lora_model_loader import ( - LoraModelLoader, -) +from ray.llm._internal.serve.utils.lora_serve_utils import LoraModelLoader class MockVLLMEngine(LLMEngine): From a38a22f39e3efb6f72d68b80131760134b432ae2 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Mon, 28 Jul 2025 21:02:31 +0530 Subject: [PATCH 0364/1566] use proxy url in proxy tests (#54941) - use proxy url instead of application url in proxy tests Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_logging.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index ddfbc45bdc32..01a551613a25 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -448,10 +448,8 @@ def get_root(self): ) proxy_log_path = os.path.join(serve_log_dir, proxy_log_file_name) - url = get_application_url(use_localhost=True) - request_id = str(uuid.uuid4()) - response = httpx.get(url, headers={"X-Request-ID": request_id}) + response = httpx.get("http://localhost:8000", headers={"X-Request-ID": request_id}) assert response.status_code == 200 def verify_request_id_in_logs(proxy_log_path, request_id): From 435a5323a0010d8ccfe08c4daa8a7df10155e2f8 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Mon, 28 Jul 2025 12:03:57 -0700 Subject: [PATCH 0365/1566] [Train] Use failure policy to handle ControllerError (#54833) This PR includes several changes: - Exceptions - Introduce a `TrainingFailedError` type which is the union of `WorkerGroupError` and `ControllerError`. This new type will be handled by the FailurePolicy. - controller.py - `_start_worker_group` will catch all exceptions and wrap inside the `ControllerError`. The `ControllerError` is returned if not None. - `FailurePolicy` receives `TrainingFailedError` and return one `FailureDecision`. - `_execute_failure_decision` receives `FailureDecision` and `TrainingFailedError` and decide the next State. - DefaultFailurePolicy - For `ControllerError`, we check if that is one of the `RETRYABLE_CONTROLLER_ERRORS`. If not, directly raise - For `TrainingFailedError`, we always retry if there is still budget. --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- doc/source/train/api/api.rst | 3 +- .../execution/controller/controller.py | 111 +++++++++--------- .../_internal/execution/controller/state.py | 6 +- .../execution/failure_handling/default.py | 109 ++++++++++++----- .../failure_handling/failure_policy.py | 8 +- .../execution/worker_group/__init__.py | 5 +- .../_internal/execution/worker_group/poll.py | 7 ++ python/ray/train/v2/api/config.py | 6 +- .../ray/train/v2/api/data_parallel_trainer.py | 5 +- python/ray/train/v2/api/exceptions.py | 9 +- python/ray/train/v2/tests/test_controller.py | 3 +- .../v2/tests/test_data_parallel_trainer.py | 6 +- .../ray/train/v2/tests/test_failure_policy.py | 92 ++++++++++++--- .../ray/train/v2/tests/test_serialization.py | 3 +- python/ray/train/v2/tests/test_state.py | 15 ++- python/ray/train/v2/tests/test_v2_api.py | 8 +- python/ray/train/v2/tests/util.py | 3 +- 17 files changed, 267 insertions(+), 132 deletions(-) diff --git a/doc/source/train/api/api.rst b/doc/source/train/api/api.rst index 0ce14afc6a39..468d88c2e2c0 100644 --- a/doc/source/train/api/api.rst +++ b/doc/source/train/api/api.rst @@ -174,7 +174,8 @@ Ray Train Errors :template: autosummary/class_without_autosummary.rst :toctree: doc/ - ~train.v2.api.exceptions.TrainingFailedError + ~train.v2.api.exceptions.ControllerError + ~train.v2.api.exceptions.WorkerGroupError Ray Tune Integration Utilities ------------------------------ diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index f26f65c755fc..515b7a67336a 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -3,7 +3,7 @@ import os import uuid from dataclasses import dataclass -from typing import Callable, List, Optional +from typing import Callable, List, Optional, Union import pandas as pd @@ -15,10 +15,6 @@ ENABLE_CONTROLLER_STRUCTURED_LOGGING_ENV_VAR, HEALTH_CHECK_INTERVAL_S_ENV_VAR, ) -from ray.train.v2._internal.exceptions import ( - WorkerGroupStartupFailedError, - WorkerGroupStartupTimeoutError, -) from ray.train.v2._internal.execution.callback import ( ControllerCallback, ReportCallback, @@ -65,7 +61,10 @@ from ray.train.v2._internal.logging.logging import configure_controller_logger from ray.train.v2._internal.util import ObjectRefWrapper, time_monotonic from ray.train.v2.api.callback import RayTrainCallback -from ray.train.v2.api.exceptions import TrainingFailedError +from ray.train.v2.api.exceptions import ( + ControllerError, + TrainingFailedError, +) from ray.train.v2.api.result import Result logger = logging.getLogger(__name__) @@ -181,29 +180,46 @@ def _execute_resize_decision( if self._worker_group: self._shutdown_worker_group() - worker_group_started = self._start_worker_group( + optional_controller_error = self._start_worker_group( num_workers=decision.num_workers, resources_per_worker=decision.resources_per_worker, ) - if worker_group_started: - next_state = RunningState() + if optional_controller_error: + failure_decision = self._failure_policy.make_decision( + training_failed_error=optional_controller_error, + ) + return self._execute_failure_decision( + failure_decision, + training_failed_error=optional_controller_error, + ) else: - next_state = ReschedulingState() + return TrainControllerLoopIterationResult( + run_attempt_id=self._get_run_attempt_id(), + previous_state=self._state, + next_state=RunningState(), + ) - return TrainControllerLoopIterationResult( - run_attempt_id=self._get_run_attempt_id(), - previous_state=self._state, - next_state=next_state, - ) + def _get_retry_state( + self, + controller_state: Union[RunningState, SchedulingState], + training_failed_error: TrainingFailedError, + ) -> TrainControllerState: + assert isinstance(controller_state, (RunningState, SchedulingState)) + + if isinstance(controller_state, RunningState): + return RestartingState(training_failed_error=training_failed_error) + elif isinstance(controller_state, SchedulingState): + return ReschedulingState(training_failed_error=training_failed_error) + else: + raise ValueError(f"Unexpected controller state: {controller_state}") def _execute_failure_decision( self, failure_decision: FailureDecision, - worker_group_status: WorkerGroupPollStatus, + training_failed_error: TrainingFailedError, ) -> TrainControllerLoopIterationResult: - """Executes failure handling decisions (ex: restart, terminate).""" - assert worker_group_status.errors + """Executes failure handling decisions for a scheduling or poll error.""" controller_state = self.get_state() @@ -216,34 +232,22 @@ def _execute_failure_decision( return TrainControllerLoopIterationResult( run_attempt_id=self._get_run_attempt_id(), previous_state=controller_state, - next_state=RunningState(), + next_state=controller_state, + training_failed_error=training_failed_error, ) - errors_str = worker_group_status.get_error_string() - training_failed_error = TrainingFailedError( - error_message=errors_str, worker_failures=worker_group_status.errors - ) - - if failure_decision == FailureDecision.RESTART: - logger.error( - "Restarting training worker group after encountering " - f"failures on {len(worker_group_status.errors)} worker(s):\n" - f"{errors_str}" - ) - next_state = RestartingState(training_failed_error=training_failed_error) + if failure_decision == FailureDecision.RETRY: return TrainControllerLoopIterationResult( run_attempt_id=self._get_run_attempt_id(), previous_state=controller_state, - next_state=next_state, - training_failed_error=training_failed_error, + next_state=self._get_retry_state( + controller_state, training_failed_error + ), ) elif failure_decision == FailureDecision.RAISE: - logger.error( - "Terminating training worker group after encountering " - f"failure(s) on {len(worker_group_status.errors)} worker(s):\n" - f"{errors_str}" + next_state = ErroredState( + training_failed_error=training_failed_error, ) - next_state = ErroredState(training_failed_error=training_failed_error) return TrainControllerLoopIterationResult( run_attempt_id=self._get_run_attempt_id(), previous_state=controller_state, @@ -266,11 +270,14 @@ async def _poll_workers(self) -> WorkerGroupPollStatus: self._latest_poll_time = time_monotonic() return status - def _start_worker_group(self, num_workers: int, resources_per_worker: dict) -> bool: + def _start_worker_group( + self, num_workers: int, resources_per_worker: dict + ) -> Optional[ControllerError]: """Start the worker group and launch the train function. Returns: - True if the worker group was successfully started, False otherwise. + None if the worker group was successfully started, + ControllerError if the worker group failed to start. """ placement_strategy = self._scaling_policy.scaling_config.placement_strategy worker_group_context = WorkerGroupContext( @@ -286,19 +293,10 @@ def _start_worker_group(self, num_workers: int, resources_per_worker: dict) -> b worker_group_context=worker_group_context, callbacks=self._worker_group_callbacks_to_propagate, ) - except (WorkerGroupStartupTimeoutError, WorkerGroupStartupFailedError) as e: - logger.error( - "Retrying the launch of the training worker group. " - f"The previous launch attempt encountered the following failure:\n{e}" - ) - - # TODO: Should this logic go through the failure policy? - # The current logic will always try recovering unconditionally - # on startup errors without a retry limit. - return False + except Exception as e: + return ControllerError(e) - # TODO: Consider starting the worker group asynchronously. - return True + return None def _start(self): for callback in self._controller_callbacks: @@ -375,7 +373,7 @@ async def _step(self) -> TrainControllerLoopIterationResult: controller_state = self.get_state() if isinstance( - controller_state, (InitializingState, ReschedulingState, RestartingState) + controller_state, (InitializingState, RestartingState, ReschedulingState) ): return self._make_and_handle_scaling_decision_for_non_running_worker_group( controller_state @@ -384,7 +382,7 @@ async def _step(self) -> TrainControllerLoopIterationResult: assert isinstance(controller_state.scaling_decision, ResizeDecision) return self._execute_resize_decision(controller_state.scaling_decision) elif isinstance(controller_state, RunningState): - worker_group_status = await self._poll_workers() + worker_group_status: WorkerGroupPollStatus = await self._poll_workers() if worker_group_status.finished and not worker_group_status.errors: return TrainControllerLoopIterationResult( @@ -393,11 +391,12 @@ async def _step(self) -> TrainControllerLoopIterationResult: next_state=FinishedState(), ) if worker_group_status.errors: + worker_group_error = worker_group_status.get_worker_group_error() failure_decision = self._failure_policy.make_decision( - worker_group_status + training_failed_error=worker_group_error, ) return self._execute_failure_decision( - failure_decision, worker_group_status + failure_decision, training_failed_error=worker_group_error ) else: scaling_decision = self._scaling_policy.make_decision_for_running_worker_group( diff --git a/python/ray/train/v2/_internal/execution/controller/state.py b/python/ray/train/v2/_internal/execution/controller/state.py index 575650bfe21d..6f0ac6304e64 100644 --- a/python/ray/train/v2/_internal/execution/controller/state.py +++ b/python/ray/train/v2/_internal/execution/controller/state.py @@ -90,8 +90,12 @@ def __init__(self, scaling_decision: ScalingDecision): class ReschedulingState(TrainControllerState): - def __init__(self): + def __init__( + self, + training_failed_error: TrainingFailedError, + ): super().__init__(state_type=TrainControllerStateType.RESCHEDULING) + self.training_failed_error = training_failed_error class RunningState(TrainControllerState): diff --git a/python/ray/train/v2/_internal/execution/failure_handling/default.py b/python/ray/train/v2/_internal/execution/failure_handling/default.py index dc521c8c82e9..bfaf5857850f 100644 --- a/python/ray/train/v2/_internal/execution/failure_handling/default.py +++ b/python/ray/train/v2/_internal/execution/failure_handling/default.py @@ -1,46 +1,95 @@ import logging -from ray.train import FailureConfig -from ray.train.v2._internal.execution.failure_handling import ( - FailureDecision, - FailurePolicy, +from .failure_policy import FailureDecision, FailurePolicy +from ray.train.v2._internal.exceptions import ( + WorkerGroupStartupFailedError, + WorkerGroupStartupTimeoutError, +) +from ray.train.v2.api.config import FailureConfig +from ray.train.v2.api.exceptions import ( + ControllerError, + TrainingFailedError, + WorkerGroupError, ) -from ray.train.v2._internal.execution.worker_group import WorkerGroupPollStatus logger = logging.getLogger(__name__) +RETRYABLE_CONTROLLER_ERRORS = ( + WorkerGroupStartupFailedError, + WorkerGroupStartupTimeoutError, +) + + class DefaultFailurePolicy(FailurePolicy): def __init__(self, failure_config: FailureConfig): super().__init__(failure_config) - self._total_failures = 0 + self._worker_group_failures = 0 + self._controller_failures = 0 - def make_decision( - self, worker_group_status: WorkerGroupPollStatus - ) -> FailureDecision: - if not worker_group_status.errors: - return FailureDecision.NOOP + def _log_decision( + self, + decision: FailureDecision, + training_failed_error: TrainingFailedError, + error_count: int, + retry_limit: int, + ): + if isinstance(training_failed_error, ControllerError): + error_source = "controller" + elif isinstance(training_failed_error, WorkerGroupError): + error_source = "worker group" + else: + raise ValueError(f"Unknown error type: {type(training_failed_error)}") - self._total_failures += 1 + logger.info( + f"[FailurePolicy] Decision: {decision}, " + f"Error source: {error_source}, " + f"Error count / maximum errors allowed: {error_count}/{retry_limit}, " + f"Error: {training_failed_error}" + ) - if self.failure_config.max_failures == -1: - logger.info( - "Deciding to RESTART, since infinite retry is enabled. " - f"Encountered {self._total_failures} failures so far." + def _is_retryable_error(self, training_failed_error: TrainingFailedError) -> bool: + if isinstance(training_failed_error, WorkerGroupError): + return True + elif isinstance(training_failed_error, ControllerError): + return isinstance( + training_failed_error.controller_failure, RETRYABLE_CONTROLLER_ERRORS ) - return FailureDecision.RESTART + return False - if self._total_failures > self.failure_config.max_failures: - logger.info( - "Deciding to TERMINATE, since the total failure count " - f"({self._total_failures}) exceeded the maximum allowed failures: " - f"FailureConfig(max_failures={self.failure_config.max_failures})." - ) - return FailureDecision.RAISE + def make_decision( + self, + training_failed_error: TrainingFailedError, + ) -> FailureDecision: - logger.info( - "Deciding to RESTART, since the total " - f"failure count ({self._total_failures}) <= " - f"FailureConfig(max_failures={self.failure_config.max_failures})." - ) - return FailureDecision.RESTART + if not self._is_retryable_error(training_failed_error): + decision = FailureDecision.RAISE + error_count = 1 + retry_limit = 0 + else: + if isinstance(training_failed_error, ControllerError): + self._controller_failures += 1 + error_count = self._controller_failures + retry_limit = ( + self.failure_config.controller_failure_limit + if self.failure_config.controller_failure_limit != -1 + else float("inf") + ) + elif isinstance(training_failed_error, WorkerGroupError): + self._worker_group_failures += 1 + error_count = self._worker_group_failures + retry_limit = ( + self.failure_config.max_failures + if self.failure_config.max_failures != -1 + else float("inf") + ) + else: + raise ValueError(f"Unknown error type: {type(training_failed_error)}") + + if error_count > retry_limit: + decision = FailureDecision.RAISE + else: + decision = FailureDecision.RETRY + + self._log_decision(decision, training_failed_error, error_count, retry_limit) + return decision diff --git a/python/ray/train/v2/_internal/execution/failure_handling/failure_policy.py b/python/ray/train/v2/_internal/execution/failure_handling/failure_policy.py index e6ce8369971c..0789a79f554d 100644 --- a/python/ray/train/v2/_internal/execution/failure_handling/failure_policy.py +++ b/python/ray/train/v2/_internal/execution/failure_handling/failure_policy.py @@ -1,18 +1,19 @@ import abc from enum import Enum -from ray.train.v2._internal.execution.worker_group import WorkerGroupPollStatus from ray.train.v2.api.config import FailureConfig +from ray.train.v2.api.exceptions import TrainingFailedError class FailureDecision(Enum): - RESTART = "RESTART" + RETRY = "RETRY" RAISE = "RAISE" NOOP = "NOOP" class FailurePolicy(abc.ABC): """A policy that determines how to handle user and system failures. + FailurePolicy will handle the controller failure and worker errors during training. This can be used to implement fault tolerance and error recovery. """ @@ -22,6 +23,7 @@ def __init__(self, failure_config: FailureConfig): @abc.abstractmethod def make_decision( - self, worker_group_status: WorkerGroupPollStatus + self, + training_failed_error: TrainingFailedError, ) -> FailureDecision: raise NotImplementedError diff --git a/python/ray/train/v2/_internal/execution/worker_group/__init__.py b/python/ray/train/v2/_internal/execution/worker_group/__init__.py index 1e7ebee00476..8dc48f56ef27 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/__init__.py +++ b/python/ray/train/v2/_internal/execution/worker_group/__init__.py @@ -1,5 +1,8 @@ from .poll import WorkerGroupPollStatus, WorkerStatus -from .state import WorkerGroupState, WorkerGroupStateBuilder +from .state import ( + WorkerGroupState, + WorkerGroupStateBuilder, +) from .worker import ActorMetadata, RayTrainWorker, Worker from .worker_group import WorkerGroup, WorkerGroupContext diff --git a/python/ray/train/v2/_internal/execution/worker_group/poll.py b/python/ray/train/v2/_internal/execution/worker_group/poll.py index 5bc219567521..e7f47d68da46 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/poll.py +++ b/python/ray/train/v2/_internal/execution/worker_group/poll.py @@ -2,6 +2,7 @@ from typing import Dict, Optional from ray.train._internal.session import _TrainingResult +from ray.train.v2.api.exceptions import WorkerGroupError from ray.types import ObjectRef @@ -24,6 +25,12 @@ def errors(self) -> Dict[int, Exception]: if status.error is not None } + def get_worker_group_error(self) -> WorkerGroupError: + return WorkerGroupError( + error_message=self.get_error_string(), + worker_failures=self.errors, + ) + @property def finished(self) -> bool: return self.worker_statuses and all( diff --git a/python/ray/train/v2/api/config.py b/python/ray/train/v2/api/config.py index 4d7356c5b813..4efc25a2960c 100644 --- a/python/ray/train/v2/api/config.py +++ b/python/ray/train/v2/api/config.py @@ -90,13 +90,17 @@ class FailureConfig(FailureConfigV1): """Configuration related to failure handling of each training run. Args: - max_failures: Tries to recover a run at least this many times. + max_failures: Tries to recover a run from training worker errors at least this many times. Will recover from the latest checkpoint if present. Setting to -1 will lead to infinite recovery retries. Setting to 0 will disable retries. Defaults to 0. + controller_failure_limit: [DeveloperAPI] The maximum number of controller failures to tolerate. + Setting to -1 will lead to infinite controller retries. + Setting to 0 will disable controller retries. Defaults to -1. """ fail_fast: Union[bool, str] = _DEPRECATED + controller_failure_limit: int = -1 def __post_init__(self): # TODO(justinvyu): Add link to migration guide. diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 3b0967087d05..0a8f9caf1a68 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -112,9 +112,8 @@ def fit(self) -> Result: A Result object containing the training result. Raises: - ray.train.v2.api.exceptions.TrainingFailedError: If any failures occur - during training and the number of retries configured in - `FailureConfig` is exhausted. + ray.train.v2.api.exceptions.ControllerError: If a non-retryable error occurs in the Ray Train controller itself, or if the number of retries configured in `FailureConfig` is exhausted. + ray.train.v2.api.exceptions.WorkerGroupError: If one or more workers fail during training and the number of retries configured in `FailureConfig` is exhausted. """ train_fn = construct_train_func( self.train_loop_per_worker, diff --git a/python/ray/train/v2/api/exceptions.py b/python/ray/train/v2/api/exceptions.py index 49b012ec1364..2b04a94305ac 100644 --- a/python/ray/train/v2/api/exceptions.py +++ b/python/ray/train/v2/api/exceptions.py @@ -1,12 +1,12 @@ -from typing import Dict +from typing import Dict, Union from ray.train.v2._internal.exceptions import RayTrainError from ray.util.annotations import PublicAPI @PublicAPI(stability="alpha") -class TrainingFailedError(RayTrainError): - """Exception raised from the training workers. +class WorkerGroupError(RayTrainError): + """Exception raised from the worker group during training. Args: error_message: A human-readable error message describing the training worker failures. @@ -39,3 +39,6 @@ def __init__(self, controller_failure: Exception): def __reduce__(self): return (self.__class__, (self.controller_failure,)) + + +TrainingFailedError = Union[WorkerGroupError, ControllerError] diff --git a/python/ray/train/v2/tests/test_controller.py b/python/ray/train/v2/tests/test_controller.py index e518bd95244e..3fbddbc2b64e 100644 --- a/python/ray/train/v2/tests/test_controller.py +++ b/python/ray/train/v2/tests/test_controller.py @@ -153,7 +153,7 @@ async def test_failure_handling(): assert isinstance(controller.get_state(), RunningState) controller.get_worker_group().error_worker(1) - failure_policy.queue_decision(FailureDecision.RESTART) + failure_policy.queue_decision(FailureDecision.RETRY) await controller._run_control_loop_iteration() assert isinstance(controller.get_state(), RestartingState) @@ -200,6 +200,7 @@ async def test_worker_group_start_failure(monkeypatch, error_type): # Worker group will fail to start, but controller should not raise # and should go into RESCHEDULING state. + failure_policy.queue_decision(FailureDecision.RETRY) await controller._run_control_loop_iteration() assert isinstance(controller.get_state(), ReschedulingState) diff --git a/python/ray/train/v2/tests/test_data_parallel_trainer.py b/python/ray/train/v2/tests/test_data_parallel_trainer.py index a11a21c7b377..c4ec69739ed3 100644 --- a/python/ray/train/v2/tests/test_data_parallel_trainer.py +++ b/python/ray/train/v2/tests/test_data_parallel_trainer.py @@ -15,7 +15,7 @@ from ray.train.tests.util import create_dict_checkpoint from ray.train.v2._internal.constants import is_v2_enabled from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer -from ray.train.v2.api.exceptions import TrainingFailedError +from ray.train.v2.api.exceptions import WorkerGroupError from ray.train.v2.api.result import Result assert is_v2_enabled() @@ -152,7 +152,7 @@ def _error_func_rank_0(): scaling_config=ScalingConfig(num_workers=2), run_config=RunConfig(name="test", storage_path=str(tmp_path)), ) - with pytest.raises(TrainingFailedError) as exc_info: + with pytest.raises(WorkerGroupError) as exc_info: trainer.fit() assert isinstance(exc_info.value.worker_failures[0], ValueError) @@ -209,7 +209,7 @@ def _train_fn(config): ), ) # The error should NOT be an assertion error from the user callback. - with pytest.raises(TrainingFailedError): + with pytest.raises(WorkerGroupError): trainer.fit() diff --git a/python/ray/train/v2/tests/test_failure_policy.py b/python/ray/train/v2/tests/test_failure_policy.py index d2d96f725136..7fe0322f4ac1 100644 --- a/python/ray/train/v2/tests/test_failure_policy.py +++ b/python/ray/train/v2/tests/test_failure_policy.py @@ -1,42 +1,100 @@ import pytest from ray.train import FailureConfig +from ray.train.v2._internal.exceptions import WorkerGroupStartupTimeoutError from ray.train.v2._internal.execution.failure_handling import ( FailureDecision, create_failure_policy, ) -from ray.train.v2._internal.execution.worker_group import ( - WorkerGroupPollStatus, - WorkerStatus, -) +from ray.train.v2.api.exceptions import ControllerError, WorkerGroupError + + +def _controller_error(retryable): + return ControllerError( + controller_failure=WorkerGroupStartupTimeoutError(0) + if retryable + else Exception("Non-retryable error") + ) -def _worker_group_status_from_errors(errors): - return WorkerGroupPollStatus( - worker_statuses={ - i: WorkerStatus(running=False, error=errors[i]) for i in range(len(errors)) - }, +def _worker_group_error_from_errors(errors): + return WorkerGroupError( + "Worker group failed", + dict(enumerate(errors)), ) @pytest.mark.parametrize("max_failures", [0, 1, 10]) def test_max_failures(max_failures): policy = create_failure_policy(FailureConfig(max_failures=max_failures)) - status = _worker_group_status_from_errors( - [RuntimeError(f"Worker {i} failed") if i % 2 == 0 else None for i in range(8)] - ) + for _ in range(max_failures): - assert policy.make_decision(status) == FailureDecision.RESTART - assert policy.make_decision(status) == FailureDecision.RAISE + assert ( + policy.make_decision( + training_failed_error=_worker_group_error_from_errors( + [RuntimeError(f"Worker {i} failed") for i in range(8)] + ) + ) + == FailureDecision.RETRY + ) + assert ( + policy.make_decision( + training_failed_error=_worker_group_error_from_errors( + [RuntimeError(f"Worker {i} failed") for i in range(8)] + ) + ) + == FailureDecision.RAISE + ) + + +@pytest.mark.parametrize("controller_failure_limit", [0, 1, 10]) +def test_max_controller_failures(controller_failure_limit): + policy = create_failure_policy( + FailureConfig(controller_failure_limit=controller_failure_limit) + ) + controller_error = _controller_error(retryable=True) + for _ in range(controller_failure_limit): + assert ( + policy.make_decision(training_failed_error=controller_error) + == FailureDecision.RETRY + ) + assert ( + policy.make_decision(training_failed_error=controller_error) + == FailureDecision.RAISE + ) def test_infinite_retry(): policy = create_failure_policy(FailureConfig(max_failures=-1)) - status = _worker_group_status_from_errors( - [RuntimeError(f"Worker {i} failed") if i % 2 == 0 else None for i in range(8)] + for _ in range(10): + assert ( + policy.make_decision( + training_failed_error=WorkerGroupError( + "Worker group resize failed", + {0: WorkerGroupStartupTimeoutError(0)}, + ) + ) + == FailureDecision.RETRY + ) + + +def test_non_retryable_error(): + policy = create_failure_policy(FailureConfig(controller_failure_limit=10)) + controller_error = _controller_error(retryable=False) + assert ( + policy.make_decision(training_failed_error=controller_error) + == FailureDecision.RAISE ) + + +def test_infinite_controller_failure_retry(): + policy = create_failure_policy(FailureConfig(controller_failure_limit=-1)) + controller_error = _controller_error(retryable=True) for _ in range(10): - assert policy.make_decision(status) == FailureDecision.RESTART + assert ( + policy.make_decision(training_failed_error=controller_error) + == FailureDecision.RETRY + ) if __name__ == "__main__": diff --git a/python/ray/train/v2/tests/test_serialization.py b/python/ray/train/v2/tests/test_serialization.py index 6c7dc1e835fc..be037136a4f8 100644 --- a/python/ray/train/v2/tests/test_serialization.py +++ b/python/ray/train/v2/tests/test_serialization.py @@ -9,6 +9,7 @@ ) from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer +from ray.train.v2.api.exceptions import ControllerError def block_import(import_name): @@ -69,7 +70,7 @@ def after_worker_group_start(self, worker_group): run_config=ray.train.RunConfig(callbacks=[BlockTorchImportCallback()]), scaling_config=ray.train.ScalingConfig(num_workers=2), ) - with pytest.raises(ray.exceptions.RayTaskError, match="torch not installed"): + with pytest.raises(ControllerError, match="torch not installed on this node"): trainer.fit() diff --git a/python/ray/train/v2/tests/test_state.py b/python/ray/train/v2/tests/test_state.py index c9c2cbffa69e..c1fe23289db8 100644 --- a/python/ray/train/v2/tests/test_state.py +++ b/python/ray/train/v2/tests/test_state.py @@ -6,6 +6,7 @@ import ray from ray.actor import ActorHandle from ray.train.v2._internal.callbacks.state_manager import StateManagerCallback +from ray.train.v2._internal.exceptions import WorkerGroupStartupTimeoutError from ray.train.v2._internal.execution.context import DistributedContext from ray.train.v2._internal.execution.controller.state import ( ErroredState, @@ -38,7 +39,7 @@ ) from ray.train.v2._internal.state.state_manager import TrainStateManager from ray.train.v2._internal.state.util import _DEAD_CONTROLLER_ABORT_STATUS_DETAIL -from ray.train.v2.api.exceptions import TrainingFailedError +from ray.train.v2.api.exceptions import ControllerError, WorkerGroupError from ray.train.v2.tests.util import ( create_dummy_run_context, create_mock_train_run, @@ -485,9 +486,7 @@ def test_callback_controller_state_transitions(ray_start_regular, callback): ), RunningState(), RestartingState( - training_failed_error=TrainingFailedError( - error_message="", worker_failures={} - ) + training_failed_error=WorkerGroupError(error_message="", worker_failures={}) ), SchedulingState( scaling_decision=ResizeDecision(num_workers=2, resources_per_worker={}) @@ -499,7 +498,9 @@ def test_callback_controller_state_transitions(ray_start_regular, callback): SchedulingState( scaling_decision=ResizeDecision(num_workers=4, resources_per_worker={}) ), - ReschedulingState(), + ReschedulingState( + training_failed_error=ControllerError(WorkerGroupStartupTimeoutError(0)) + ), SchedulingState( scaling_decision=ResizeDecision(num_workers=2, resources_per_worker={}) ), @@ -532,7 +533,9 @@ def test_callback_controller_state_transitions(ray_start_regular, callback): def test_callback_error_state_transition(ray_start_regular, callback): error_msg = "Test error" - error_state = ErroredState(Exception(error_msg)) + error_state = ErroredState( + training_failed_error=ControllerError(Exception(error_msg)) + ) callback.after_controller_state_update(RunningState(), error_state) state_actor = get_state_actor() diff --git a/python/ray/train/v2/tests/test_v2_api.py b/python/ray/train/v2/tests/test_v2_api.py index c9ca507468b2..a8713bb73943 100644 --- a/python/ray/train/v2/tests/test_v2_api.py +++ b/python/ray/train/v2/tests/test_v2_api.py @@ -7,7 +7,7 @@ import ray.train from ray.train import FailureConfig, RunConfig, ScalingConfig from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer -from ray.train.v2.api.exceptions import ControllerError, TrainingFailedError +from ray.train.v2.api.exceptions import ControllerError, WorkerGroupError @pytest.mark.parametrize( @@ -127,7 +127,7 @@ def test_train_v2_import(monkeypatch, env_v2_enabled): @pytest.mark.parametrize( "error", [ - TrainingFailedError( + WorkerGroupError( "Training failed on multiple workers", {0: ValueError("worker 0 failed"), 1: RuntimeError("worker 1 failed")}, ), @@ -135,9 +135,9 @@ def test_train_v2_import(monkeypatch, env_v2_enabled): ], ) def test_exceptions_are_picklable(error): - """Test that TrainingFailedError and ControllerError are picklable.""" + """Test that WorkerGroupError and ControllerError are picklable.""" - # Test pickle/unpickle for TrainingFailedError + # Test pickle/unpickle for WorkerGroupError pickled_error = ray_pickle.dumps(error) unpickled_error = ray_pickle.loads(pickled_error) diff --git a/python/ray/train/v2/tests/util.py b/python/ray/train/v2/tests/util.py index f66f5e45f2f4..a140b4add6c5 100644 --- a/python/ray/train/v2/tests/util.py +++ b/python/ray/train/v2/tests/util.py @@ -34,6 +34,7 @@ TrainWorker, ) from ray.train.v2._internal.util import ObjectRefWrapper, time_monotonic +from ray.train.v2.api.exceptions import TrainingFailedError class DummyWorkerGroup(WorkerGroup): @@ -125,7 +126,7 @@ def __init__(self, failure_config): super().__init__(failure_config) def make_decision( - self, worker_group_status: WorkerGroupPollStatus + self, training_failed_error: TrainingFailedError ) -> FailureDecision: if self._decision_queue: return self._decision_queue.pop(0) From 4820770fe41c262d8ee06bb36b0e61291281ba1a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 28 Jul 2025 12:14:45 -0700 Subject: [PATCH 0366/1566] [wheel] use pkg_files to capture non-proto generated files (#54881) so that it is closer to a hermetically built wheel archive protobuf files are not included yet. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 120 +++++++++++++++++++++++++++++++++++++--------------- 1 file changed, 87 insertions(+), 33 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 078eda8c97a4..a4128a64671e 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -13,6 +13,8 @@ load("@com_github_grpc_grpc//bazel:cython_library.bzl", "pyx_library") load("@hedron_compile_commands//:refresh_compile_commands.bzl", "refresh_compile_commands") load("@python3_9//:defs.bzl", python39 = "interpreter") load("@rules_cc//cc:defs.bzl", "cc_proto_library") +load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") +load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto//proto:defs.bzl", "proto_library") load("@rules_python//python:defs.bzl", "py_library", "py_runtime", "py_runtime_pair") load("//bazel:ray.bzl", "COPTS", "FLATC_ARGS", "PYX_COPTS", "PYX_SRCS", "copy_to_workspace", "ray_cc_binary", "ray_cc_library", "ray_cc_test") @@ -1035,49 +1037,102 @@ py_library( visibility = ["__subpackages__"], ) -copy_to_workspace( - name = "cp_raylet_so", +pkg_files( + name = "raylet_so_files", srcs = ["python/ray/_raylet.so"], - dstdir = "python/ray", + attributes = pkg_attributes(mode = "755"), + strip_prefix = "python", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_core_py_proto", - srcs = [":core_py_proto"], - dstdir = "python/ray/core/generated", +pkg_files( + name = "core_py_proto_files", + srcs = ["//src/ray/protobuf:core_py_proto"], + prefix = "ray/core/generated", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_serve_py_proto", +pkg_zip( + name = "core_py_proto_zip", + srcs = [":core_py_proto_files"], + out = "core_py_proto.zip", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "serve_py_proto_files", srcs = [":serve_py_proto"], - dstdir = "python/ray/serve/generated", + prefix = "ray/serve/generated", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_redis", +pkg_zip( + name = "serve_py_proto_zip", + srcs = [":serve_py_proto_files"], + out = "serve_py_proto.zip", + visibility = ["//visibility:private"], +) + +pkg_files( + name = "redis_files", srcs = [ ":redis-cli", ":redis-server", ], - dstdir = "python/ray/core/src/ray/thirdparty/redis/src", + attributes = pkg_attributes(mode = "755"), + prefix = "ray/core/src/ray/thirdparty/redis/src", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_raylet", +pkg_files( + name = "raylet_files", srcs = [":raylet"], - dstdir = "python/ray/core/src/ray/raylet", + attributes = pkg_attributes(mode = "755"), + prefix = "ray/core/src/ray/raylet", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_gcs_server", +pkg_files( + name = "gcs_server_files", srcs = ["//src/ray/gcs/gcs_server"], - dstdir = "python/ray/core/src/ray/gcs", + attributes = pkg_attributes(mode = "755"), + prefix = "ray/core/src/ray/gcs", + visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_jemalloc", +pkg_files( + name = "jemalloc_files", srcs = ["@jemalloc//:shared"], - dstdir = "python/ray/core/", + attributes = pkg_attributes(mode = "755"), + prefix = "ray/core/", + visibility = ["//visibility:private"], +) + +pkg_zip( + name = "ray_pkg_zip", + srcs = [ + ":gcs_server_files", + ":raylet_files", + ":raylet_so_files", + ":redis_files", + ] + select({ + ":jemalloc": [":jemalloc_files"], + "//conditions:default": [], + }), + out = "ray_pkg.zip", + visibility = ["//visibility:private"], +) + +copy_to_workspace( + name = "cp_core_py_proto", + srcs = [":core_py_proto"], + dstdir = "python/ray/core/generated", +) + +copy_to_workspace( + name = "cp_serve_py_proto", + srcs = [":serve_py_proto"], + dstdir = "python/ray/serve/generated", ) genrule( @@ -1085,6 +1140,11 @@ genrule( srcs = [ ":cp_core_py_proto", ":cp_serve_py_proto", + + # Adding these pkg files rules make sure that there are no naming + # conflicts between the generated files and the pkg files. + ":core_py_proto_zip", + ":serve_py_proto_zip", ], outs = ["install_py_proto.out"], cmd = """ @@ -1111,21 +1171,15 @@ genrule( genrule( name = "ray_pkg", srcs = [ - ":cp_raylet_so", ":python_sources", ":install_py_proto", - ":cp_redis", - ":cp_raylet", - ":cp_gcs_server", - ] + select({ - ":jemalloc": [ - ":cp_jemalloc", - ], - "//conditions:default": [], - }), + ":ray_pkg_zip", + ], outs = ["ray_pkg.out"], cmd = """ - if [ "$${OSTYPE-}" = "msys" ]; then + unzip -o -q $(location :ray_pkg_zip) -d "python" + + if [[ "$${OSTYPE-}" == "msys" ]]; then ln -P -f -- python/ray/_raylet.so python/ray/_raylet.pyd fi echo "$${PWD}" > $@ From d8d0b569245918f0cf0244287336fe356962287e Mon Sep 17 00:00:00 2001 From: Rueian Date: Mon, 28 Jul 2025 12:54:58 -0700 Subject: [PATCH 0367/1566] [core][autoscaler][v1] drop object_store_memory from ResourceDemandScheduler._update_node_resources_from_runtime (#53283) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- .../_private/resource_demand_scheduler.py | 2 +- .../tests/test_resource_demand_scheduler.py | 72 +++++++++++++++++++ 2 files changed, 73 insertions(+), 1 deletion(-) diff --git a/python/ray/autoscaler/_private/resource_demand_scheduler.py b/python/ray/autoscaler/_private/resource_demand_scheduler.py index a24c19c94ebb..61ae239e673b 100644 --- a/python/ray/autoscaler/_private/resource_demand_scheduler.py +++ b/python/ray/autoscaler/_private/resource_demand_scheduler.py @@ -371,7 +371,7 @@ def _update_node_resources_from_runtime( if runtime_resources: runtime_resources = copy.deepcopy(runtime_resources) resources = self.node_types[node_type].get("resources", {}) - for key in ["CPU", "GPU", "memory", "object_store_memory"]: + for key in ["CPU", "GPU", "memory"]: if key in runtime_resources: resources[key] = runtime_resources[key] self.node_types[node_type]["resources"] = resources diff --git a/python/ray/tests/test_resource_demand_scheduler.py b/python/ray/tests/test_resource_demand_scheduler.py index 26310e792567..69e4fc478ac0 100644 --- a/python/ray/tests/test_resource_demand_scheduler.py +++ b/python/ray/tests/test_resource_demand_scheduler.py @@ -949,6 +949,78 @@ def test_request_resources_existing_usage(): assert not rem +def test_do_not_add_nodes_based_on_object_store_memory(): + provider = MockProvider() + TYPES = { + "ray.worker.4090.standard": { + "resources": {"CPU": 16, "GPU": 1, "memory": 30107260928, "gram": 24}, + "max_workers": 5, + }, + "ray.worker.4090.highmem": { + "resources": {"CPU": 16, "GPU": 1, "memory": 62277025792, "gram": 24}, + "max_workers": 5, + }, + } + provider.create_node( + {}, + { + TAG_RAY_USER_NODE_TYPE: "ray.worker.4090.standard", + TAG_RAY_NODE_KIND: NODE_KIND_WORKER, + TAG_RAY_NODE_STATUS: STATUS_UP_TO_DATE, + }, + 1, + ) + scheduler = ResourceDemandScheduler( + provider, + TYPES, + max_workers=100, + head_node_type="empty_node", + upscaling_speed=1, + ) + + ips = provider.non_terminated_node_ips({}) + assert len(ips) == 1 + + unused_resources_by_ip = { + ips[0]: { + "CPU": 0.0, + "GPU": 0.0, + "memory": 0.0, + "gram": 0.0, + } + } + max_resources_by_ip = { + ips[0]: { + "CPU": 16.0, + "GPU": 1.0, + "memory": 30107260928.0, + "gram": 24.0, + "object_store_memory": 4933059335.0, + } + } + # At this point, there is one node of type "ray.worker.4090.standard" in the cluster, + # but all its resources are used. + # Now, we try to request a new resource_demand that matches "ray.worker.4090.standard". + # The scheduler should add a new node of type "ray.worker.4090.standard". + # This test ensures that the scheduler does not take "object_store_memory" + # into account when deciding which node type to add. Previously, the scheduler + # would consider "object_store_memory" from max_resources_by_ip, and as a result, + # choose "ray.worker.4090.highmem" instead of "ray.worker.4090.standard". + resource_demands = [{"CPU": 16, "GPU": 1, "memory": 30107260928, "gram": 24}] + to_launch, _ = scheduler.get_nodes_to_launch( + nodes=provider.non_terminated_nodes({}), + launching_nodes={}, + resource_demands=resource_demands, + unused_resources_by_ip=unused_resources_by_ip, + pending_placement_groups=[], + max_resources_by_ip=max_resources_by_ip, + ensure_min_cluster_size=[], + node_availability_summary=NodeAvailabilitySummary(node_availabilities={}), + ) + assert to_launch.get("ray.worker.4090.standard") == 1, to_launch + assert to_launch.get("ray.worker.4090.highmem") is None, to_launch + + def test_backlog_queue_impact_on_binpacking_time(): new_types = copy.deepcopy(TYPES_A) new_types["p2.8xlarge"]["max_workers"] = 1000 From 2a55c5b74691dccb8fb09e5c53c4a2e0d3a0d2e1 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 28 Jul 2025 13:11:16 -0700 Subject: [PATCH 0368/1566] [data] add oss tag for authenticated tests (#54971) to run on ray open source repo Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/data.rayci.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.buildkite/data.rayci.yml b/.buildkite/data.rayci.yml index adeea985443b..986fe6185699 100644 --- a/.buildkite/data.rayci.yml +++ b/.buildkite/data.rayci.yml @@ -277,6 +277,7 @@ steps: tags: - python - data + - oss - skip-on-premerge instance_type: medium commands: From c065401db91ef9b2a3536e5478a72125df84709e Mon Sep 17 00:00:00 2001 From: Nicola <62206011+n-elia@users.noreply.github.com> Date: Tue, 29 Jul 2025 00:57:14 +0200 Subject: [PATCH 0369/1566] Quiet podman run when creating a runtime_env (#54969) Using the "Run Multiple Applications in Different Containers" pattern, when Ray creates the new runtime_env, it executes a command that causes Podman to pull the image, run a container and execute a particular command. That particular command has the aim of establishing the image's entrypoint, that will be used as `override_worker_entrypoint` of the runtime_env. The `override_worker_entrypoint` contains the whole log of Podman instead of just the command's output. This issue is solved by setting `--quiet` flag when executing `podman run` command. Closes https://github.com/ray-project/ray/issues/54965 Signed-off-by: Nicola <62206011+n-elia@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/image_uri.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/_private/runtime_env/image_uri.py b/python/ray/_private/runtime_env/image_uri.py index 1d2b39907271..7ff24d82cef2 100644 --- a/python/ray/_private/runtime_env/image_uri.py +++ b/python/ray/_private/runtime_env/image_uri.py @@ -15,6 +15,7 @@ async def _create_impl(image_uri: str, logger: logging.Logger): pull_image_cmd = [ "podman", "run", + "--quiet", "--rm", image_uri, "python", From a9da0b242f550098ee2dcc1ef08113cefc0687f9 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 28 Jul 2025 16:37:36 -0700 Subject: [PATCH 0370/1566] [ci] raydepsets: adding expand operation (#54608) adding expand operation and unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 1 + ci/raydepsets/cli.py | 29 ++++++++++ ci/raydepsets/test_cli.py | 58 +++++++++++++++++++ .../requirements_compiled_test_expand.txt | 11 ++++ ci/raydepsets/test_data/test.config.yaml | 13 +++++ ci/raydepsets/workspace.py | 2 + 6 files changed, 114 insertions(+) create mode 100644 ci/raydepsets/test_data/requirements_compiled_test_expand.txt diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index c2671f5a91fd..4876584d45d3 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -28,6 +28,7 @@ py_test( data = [ "test_data/requirement_constraints_test.txt", "test_data/requirements_compiled_test.txt", + "test_data/requirements_compiled_test_expand.txt", "test_data/requirements_compiled_test_update.txt", "test_data/requirements_test.txt", "test_data/test.config.yaml", diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 364764e9da4a..053b4a759a8a 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -85,6 +85,14 @@ def execute_single(self, depset: Depset): name=depset.name, output=depset.output, ) + elif depset.operation == "expand": + self.expand( + depsets=depset.depsets, + constraints=depset.constraints, + args=DEFAULT_UV_FLAGS.copy(), + name=depset.name, + output=depset.output, + ) click.echo(f"Dependency set {depset.name} compiled successfully") def compile( @@ -125,6 +133,27 @@ def subset( output=output, ) + def expand( + self, + depsets: List[str], + constraints: List[str], + args: List[str], + name: str, + output: str = None, + ): + """Expand a dependency set.""" + depset_req_list = [] + for depset_name in depsets: + depset = self.get_depset(depset_name) + depset_req_list.extend(depset.requirements) + self.compile( + constraints=constraints, + requirements=depset_req_list, + args=args, + name=name, + output=output, + ) + def get_path(self, path: str) -> str: return (Path(self.workspace.dir) / path).as_posix() diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 3cab9ca6f91e..8bd54f8e8e29 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -274,6 +274,52 @@ def test_get_path(self): == f"{tmpdir}/requirements_test.txt" ) + def test_expand(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + _save_packages_to_file( + Path(tmpdir) / "requirements_expanded.txt", + ["six"], + ) + _save_file_as( + Path(tmpdir) / "requirement_constraints_test.txt", + Path(tmpdir) / "requirement_constraints_expand.txt", + ) + _append_to_file( + Path(tmpdir) / "requirement_constraints_expand.txt", + "six==1.17.0", + ) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="general_depset", + output="requirements_compiled_general.txt", + ) + manager.compile( + constraints=[], + requirements=["requirements_expanded.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="expanded_depset", + output="requirements_compiled_expanded.txt", + ) + manager.expand( + depsets=["general_depset", "expanded_depset"], + constraints=["requirement_constraints_expand.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="expand_general_depset", + output="requirements_compiled_expand_general.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled_expand_general.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test_expand.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + def _copy_data_to_tmpdir(tmpdir): shutil.copytree( @@ -299,5 +345,17 @@ def _save_packages_to_file(filepath, packages): f.write(package + "\n") +def _save_file_as(input_file, output_file): + with open(input_file, "rb") as f: + contents = f.read() + with open(output_file, "wb") as f: + f.write(contents) + + +def _append_to_file(filepath, new): + with open(filepath, "a") as f: + f.write(new + "\n") + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/test_data/requirements_compiled_test_expand.txt b/ci/raydepsets/test_data/requirements_compiled_test_expand.txt new file mode 100644 index 000000000000..79e9b8c15e30 --- /dev/null +++ b/ci/raydepsets/test_data/requirements_compiled_test_expand.txt @@ -0,0 +1,11 @@ +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu + +emoji==2.9.0 \ + --hash=sha256:17b0d53e1d9f787307a4c65aa19badb0a1ffdbc89b3a3cd851fc77821cdaced2 \ + --hash=sha256:5f4a15b7caa9c67fc11be9d90a822e3fa26aeb4e5b7bd2ded754b394d9c47869 +pyperclip==1.6.0 \ + --hash=sha256:ce829433a9af640e08ee89b20f7c62132714bcc5d77df114044d0fccb8c3b3b8 +six==1.17.0 \ + --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \ + --hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81 diff --git a/ci/raydepsets/test_data/test.config.yaml b/ci/raydepsets/test_data/test.config.yaml index e51e5dd0ecf8..db0c789eb739 100644 --- a/ci/raydepsets/test_data/test.config.yaml +++ b/ci/raydepsets/test_data/test.config.yaml @@ -17,3 +17,16 @@ depsets: requirements: - requirement_constraints_subset.txt output: requirements_compiled_subset_general.txt + - name: expanded_depset + operation: compile + requirements: + - requirements_expanded.txt + output: requirements_compiled_expanded.txt + - name: expand_general_depset + operation: expand + depsets: + - general_depset + - expanded_depset + constraints: + - requirement_constraints_expand.txt + output: requirements_compiled_expand_general.txt diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 7e13173a398b..d88073082e01 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -12,6 +12,7 @@ class Depset: constraints: List[str] output: str source_depset: Optional[str] = None + depsets: Optional[List[str]] = None @dataclass @@ -29,6 +30,7 @@ def from_dict(data: dict) -> "Config": operation=values.get("operation", "compile"), output=values.get("output"), source_depset=values.get("source_depset"), + depsets=values.get("depsets", []), ) for values in raw_depsets ] From e9d1b5d5d9dc4672e5f71688a5d136afaae6d8d0 Mon Sep 17 00:00:00 2001 From: Shiyan Xu <2701446+xushiyan@users.noreply.github.com> Date: Mon, 28 Jul 2025 18:38:59 -0500 Subject: [PATCH 0371/1566] [data] Update Hudi integration to support incremental query (#54301) ## Why are these changes needed? - Update `hudi` to 0.4.0. - Add `query_type` arg to `read_hudi()` to support incremental query. - Add `filters` arg to `read_hudi()` to support filtering on partition columns. ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Shiyan Xu <2701446+xushiyan@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../_internal/datasource/hudi_datasource.py | 80 +++++++++++-- .../data/hudi-tables/0.x_cow_partitioned.zip | Bin 46757 -> 0 bytes .../data/hudi-tables/v6_trips_8i1u.sql | 32 ++++++ .../data/hudi-tables/v6_trips_8i1u.zip | Bin 0 -> 30398 bytes python/ray/data/read_api.py | 27 ++++- python/ray/data/tests/test_hudi.py | 108 +++++++++++++----- .../ml/data-test-requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- 8 files changed, 206 insertions(+), 45 deletions(-) delete mode 100644 python/ray/data/examples/data/hudi-tables/0.x_cow_partitioned.zip create mode 100644 python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.sql create mode 100644 python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.zip diff --git a/python/ray/data/_internal/datasource/hudi_datasource.py b/python/ray/data/_internal/datasource/hudi_datasource.py index 6abb8f33a665..0cef779cd171 100644 --- a/python/ray/data/_internal/datasource/hudi_datasource.py +++ b/python/ray/data/_internal/datasource/hudi_datasource.py @@ -1,6 +1,7 @@ import logging import os -from typing import Dict, Iterator, List, Optional +from enum import Enum +from typing import Dict, Iterator, List, Optional, Tuple from ray.data._internal.util import _check_import from ray.data.block import BlockMetadata @@ -9,22 +10,38 @@ logger = logging.getLogger(__name__) +class HudiQueryType(Enum): + SNAPSHOT = "snapshot" + INCREMENTAL = "incremental" + + @classmethod + def supported_types(cls) -> List[str]: + return [e.value for e in cls] + + class HudiDatasource(Datasource): """Hudi datasource, for reading Apache Hudi table.""" def __init__( self, table_uri: str, + query_type: str, + filters: Optional[List[Tuple[str, str, str]]] = None, + hudi_options: Optional[Dict[str, str]] = None, storage_options: Optional[Dict[str, str]] = None, ): _check_import(self, module="hudi", package="hudi-python") self._table_uri = table_uri - self._storage_options = storage_options + self._query_type = HudiQueryType(query_type.lower()) + self._filters = filters or [] + self._hudi_options = hudi_options or {} + self._storage_options = storage_options or {} def get_read_tasks(self, parallelism: int) -> List["ReadTask"]: + import numpy as np import pyarrow - from hudi import HudiTable + from hudi import HudiTableBuilder def _perform_read( table_uri: str, @@ -38,7 +55,37 @@ def _perform_read( batch = file_group_reader.read_file_slice_by_base_file_path(p) yield pyarrow.Table.from_batches([batch]) - hudi_table = HudiTable(self._table_uri, self._storage_options) + hudi_table = ( + HudiTableBuilder.from_base_uri(self._table_uri) + .with_hudi_options(self._hudi_options) + .with_storage_options(self._storage_options) + # Although hudi-rs supports MOR snapshot, we need to add an API in + # the next release to allow file group reader to take in a list of + # files. Hence, setting this config for now to restrain reading + # only on parquet files (read optimized mode). + # This won't affect reading COW. + .with_hudi_option("hoodie.read.use.read_optimized.mode", "true") + .build() + ) + + logger.info("Collecting file slices for Hudi table at: %s", self._table_uri) + + if self._query_type == HudiQueryType.SNAPSHOT: + file_slices_splits = hudi_table.get_file_slices_splits( + parallelism, self._filters + ) + elif self._query_type == HudiQueryType.INCREMENTAL: + start_ts = self._hudi_options.get("hoodie.read.file_group.start_timestamp") + end_ts = self._hudi_options.get("hoodie.read.file_group.end_timestamp") + # TODO(xushiyan): add table API to return splits of file slices + file_slices = hudi_table.get_file_slices_between(start_ts, end_ts) + file_slices_splits = np.array_split(file_slices, parallelism) + else: + raise ValueError( + f"Unsupported query type: {self._query_type}. Supported types are: {HudiQueryType.supported_types()}." + ) + + logger.info("Creating read tasks for Hudi table at: %s", self._table_uri) reader_options = { **hudi_table.storage_options(), @@ -47,7 +94,8 @@ def _perform_read( schema = hudi_table.get_schema() read_tasks = [] - for file_slices_split in hudi_table.get_file_slices_splits(parallelism): + + for file_slices_split in file_slices_splits: num_rows = 0 relative_paths = [] input_files = [] @@ -64,12 +112,22 @@ def _perform_read( input_files.append(full_path) size_bytes += file_slice.base_file_size - metadata = BlockMetadata( - num_rows=num_rows, - input_files=input_files, - size_bytes=size_bytes, - exec_stats=None, - ) + if self._query_type == HudiQueryType.SNAPSHOT: + metadata = BlockMetadata( + num_rows=num_rows, + input_files=input_files, + size_bytes=size_bytes, + exec_stats=None, + ) + elif self._query_type == HudiQueryType.INCREMENTAL: + # need the check due to + # https://github.com/apache/hudi-rs/issues/401 + metadata = BlockMetadata( + num_rows=None, + input_files=input_files, + size_bytes=None, + exec_stats=None, + ) read_task = ReadTask( read_fn=lambda paths=relative_paths: _perform_read( diff --git a/python/ray/data/examples/data/hudi-tables/0.x_cow_partitioned.zip b/python/ray/data/examples/data/hudi-tables/0.x_cow_partitioned.zip deleted file mode 100644 index 9f78c06de94524454782e38dcc6bd71418f5aaa6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 46757 zcmb@u19)ZG@;)4PCmq|i%?>(A$5zL-ZFOvRY}-c1wr$(?KRt72=1$+4i{JO{=UF-X z?3`0oYp*)1-g>LfkrD+4`2g_an9}i5{N>~ye;@%c0c@>}ENwJwwX{w3XyoO<0f5^+ zLF%(=LF(H%LI41QTmu3Cfc$v5)bCPiVSWE31@R{-I)-}Y=2}L-O6$#p(I0vne<2O= zO)A(gHcfLb@F=`J(|jA$evyYvSpJh9 z&LKMJuegu^ZOvtd8}CJeA;7&ONzMQ>3GF|D6}+-ght)074=^$vv(y@IQ-0Cxm+UqZ zBNXW6A$9EF)YH|55wsAeGATM|aMJGOt*iulQYq{#-CG0waWj53fBNl~s)UjxT7v@s zROh|}Q2874nOSuibQl=fsPviX>8KcWbXlp`^jNj2beMH@S@pE(X?1B?sc1DAsp#n6 z9_VT58EF}5>FMYhXc?I385pSFrfp@XXZy=s+y8onj+fm`)%4H+&L(9<(7aja8fs}f 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zX#M}I5CebK{o!CdzP0Trmk(Ti$L0TQqucLB=gD1!?Vl0ywTpy${f^E5Yd85y`QLud zM-`;{>UWg?QbB+Adj4}e9u1Vo^OB0=Ksp&=2u)E+VoIR*pWY@NP|jR E2UXLG>;M1& diff --git a/python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.sql b/python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.sql new file mode 100644 index 000000000000..5e2e773a2841 --- /dev/null +++ b/python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.sql @@ -0,0 +1,32 @@ +-- SQL used to create the test table in v6_trips_8i1u.zip +CREATE TABLE v6_trips_8i1u +( + ts BIGINT, + uuid STRING, + rider STRING, + driver STRING, + fare DOUBLE, + city STRING +) USING HUDI +PARTITIONED BY (city) +TBLPROPERTIES ( + type = 'cow', + primaryKey = 'uuid', + preCombineField = 'ts', + 'hoodie.metadata.enable' = 'false', + 'hoodie.parquet.small.file.limit' = '0' +); + +INSERT INTO v6_trips_8i1u +VALUES (1695159649087, '334e26e9-8355-45cc-97c6-c31daf0df330', 'rider-A', 'driver-K', 19.10, 'san_francisco'), + (1695091554788, 'e96c4396-3fad-413a-a942-4cb36106d721', 'rider-C', 'driver-M', 27.70, 'san_francisco'), + (1695046462179, '9909a8b1-2d15-4d3d-8ec9-efc48c536a00', 'rider-D', 'driver-L', 33.90, 'san_francisco'), + (1695332066204, '1dced545-862b-4ceb-8b43-d2a568f6616b', 'rider-E', 'driver-O', 93.50, 'san_francisco'), + (1695516137016, 'e3cf430c-889d-4015-bc98-59bdce1e530c', 'rider-F', 'driver-P', 34.15, 'sao_paulo'), + (1695376420876, '7a84095f-737f-40bc-b62f-6b69664712d2', 'rider-G', 'driver-Q', 43.40, 'sao_paulo'), + (1695173887231, '3eeb61f7-c2b0-4636-99bd-5d7a5a1d2c04', 'rider-I', 'driver-S', 41.06, 'chennai'), + (1695115999911, 'c8abbe79-8d89-47ea-b4ce-4d224bae5bfa', 'rider-J', 'driver-T', 17.85, 'chennai'); + +UPDATE v6_trips_8i1u +SET fare = 25.0 +WHERE rider = 'rider-D'; diff --git a/python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.zip b/python/ray/data/examples/data/hudi-tables/v6_trips_8i1u.zip new file mode 100644 index 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z@qIo!vcCdU!MRS5JWynetq0jZJg;fCsYy^eKl!s%i_Kt1&JuO@I0`VhZA%{trG8%2 zN>C?X%pN*3(S)^7Wtx61$&*n&!$xsw%zenxxN~BPv#KRs%u3ZPpRun$#ZV)Lee&9hK1_OVGJ8u2OJ{m%H|Lq*jN9BfCH~njJ zLnJueOAuu850>L_{HhGUR~WF^>pS$12{Jlm0EW7%V(h>9=O-zn=uyh_^2H6pc4`m=bj(o)G$b;k~01lFW;~;>e5&-Z! z`G;lmlRW4EF9)HHk7ybK3=y+Dn9NV*0N8uS0AM8R7=HfadAb2Y5lJ!*wmt-*2V0;1 zAwul{+x`bqIn>VogP8`8p&1d>KbSj@@es{EfaU%t!u<G$91Q{%*pqKd~sPH|C|s6>qmX?!(PMK z^&g4h_`E6rr$1|;hrI^w8^6HmvH4YwKpn>m;ejfJ@}QFbke452KskbeuosW^H#ZMr zII02|Kdm_GA7nx~f_5B7LOtYbOcbCOW}0*n6?{@}79tpgH%?+6Fr53~G7 z*X%!+qXAHepGnK~5V@ADKa|!nbpHoeHXTFxQHSHO3HS;aT==P=|Czy$AmHE^?EWFq z83SV%KWIzGiteA$g80H6oP>5*>*Rr;g<{$+;TL1;W$oUV)agKl>> import ray >>> ds = ray.data.read_hudi( # doctest: +SKIP ... table_uri="/hudi/trips", + ... query_type="snapshot", + ... filters=[("city", "=", "san_francisco")], + ... ) + + >>> ds = ray.data.read_hudi( # doctest: +SKIP + ... table_uri="/hudi/trips", + ... query_type="incremental", + ... hudi_options={ + ... "hoodie.read.file_group.start_timestamp": "20230101123456789", + ... "hoodie.read.file_group.end_timestamp": "20230201123456789", + ... }, ... ) Args: - table_uri: The URI of the Hudi table to read from. Local file paths, S3, and GCS - are supported. + table_uri: The URI of the Hudi table to read from. Local file paths, S3, and GCS are supported. + query_type: The Hudi query type to use. Supported values are ``snapshot`` and ``incremental``. + filters: Optional list of filters to apply to the Hudi table when the + ``query_type`` is ``snapshot``. Each filter is a tuple of the form + ``(column_name, operator, value)``. The operator can be + one of ``"="``, ``"!="``, ``"<"``, ``"<="``, ``">"``, ``">="``. + Currently, only filters on partition columns will be effective. + hudi_options: A dictionary of Hudi options to pass to the Hudi reader. storage_options: Extra options that make sense for a particular storage connection. This is used to store connection parameters like credentials, endpoint, etc. See more explanation @@ -2692,6 +2712,9 @@ def read_hudi( """ # noqa: E501 datasource = HudiDatasource( table_uri=table_uri, + query_type=query_type, + filters=filters, + hudi_options=hudi_options, storage_options=storage_options, ) diff --git a/python/ray/data/tests/test_hudi.py b/python/ray/data/tests/test_hudi.py index ca8525a2ff38..b73d8ebe642a 100644 --- a/python/ray/data/tests/test_hudi.py +++ b/python/ray/data/tests/test_hudi.py @@ -31,6 +31,15 @@ def _extract_testing_table(fixture_path: str, table_dir: str, target_dir: str) - return os.path.join(target_dir, table_dir) +def _get_hudi_table_path(fs, data_path, table_name, testing_dir="test_hudi") -> str: + setup_data_path = _unwrap_protocol(data_path) + target_testing_dir = os.path.join(setup_data_path, testing_dir) + fixture_path, _ = _resolve_paths_and_filesystem( + f"example://hudi-tables/{table_name}.zip", fs + ) + return _extract_testing_table(fixture_path[0], table_name, target_testing_dir) + + @pytest.mark.skipif( not PYARROW_VERSION_MEETS_REQUIREMENT, reason=PYARROW_HUDI_TEST_SKIP_REASON, @@ -42,17 +51,10 @@ def _extract_testing_table(fixture_path: str, table_dir: str, target_dir: str) - (lazy_fixture("local_fs"), lazy_fixture("local_path")), ], ) -def test_read_hudi_simple_cow_table(ray_start_regular_shared, fs, data_path): - setup_data_path = _unwrap_protocol(data_path) - target_testing_dir = os.path.join(setup_data_path, "test_hudi") - fixture_path, _ = _resolve_paths_and_filesystem( - "example://hudi-tables/0.x_cow_partitioned.zip", fs - ) - target_table_path = _extract_testing_table( - fixture_path[0], "trips_table", target_testing_dir - ) +def test_hudi_snapshot_query_v6_trips_table(ray_start_regular_shared, fs, data_path): + table_path = _get_hudi_table_path(fs, data_path, "v6_trips_8i1u") - ds = ray.data.read_hudi(target_table_path) + ds = ray.data.read_hudi(table_path, filters=[("city", "=", "san_francisco")]) assert ds.schema().names == [ "_hoodie_commit_time", @@ -67,42 +69,88 @@ def test_read_hudi_simple_cow_table(ray_start_regular_shared, fs, data_path): "fare", "city", ] - assert ds.count() == 5 + assert ds.count() == 4 rows = ( - ds.select_columns(["_hoodie_commit_time", "ts", "uuid", "fare"]) + ds.select_columns(["_hoodie_commit_time", "ts", "rider", "fare"]) .sort("fare") .take_all() ) + first_commit = "20250715043008154" + second_commit = "20250715043011090" assert rows == [ { - "_hoodie_commit_time": "20240402123035233", - "ts": 1695115999911, - "uuid": "c8abbe79-8d89-47ea-b4ce-4d224bae5bfa", - "fare": 17.85, + "_hoodie_commit_time": first_commit, + "ts": 1695159649087, + "rider": "rider-A", + "fare": 19.10, }, { - "_hoodie_commit_time": "20240402123035233", - "ts": 1695159649087, - "uuid": "334e26e9-8355-45cc-97c6-c31daf0df330", - "fare": 19.1, + "_hoodie_commit_time": second_commit, + "ts": 1695046462179, + "rider": "rider-D", + "fare": 25.0, }, { - "_hoodie_commit_time": "20240402123035233", + "_hoodie_commit_time": first_commit, "ts": 1695091554788, - "uuid": "e96c4396-3fad-413a-a942-4cb36106d721", - "fare": 27.7, + "rider": "rider-C", + "fare": 27.70, }, { - "_hoodie_commit_time": "20240402123035233", - "ts": 1695516137016, - "uuid": "e3cf430c-889d-4015-bc98-59bdce1e530c", - "fare": 34.15, + "_hoodie_commit_time": first_commit, + "ts": 1695332066204, + "rider": "rider-E", + "fare": 93.50, + }, + ] + + +@pytest.mark.skipif( + not PYARROW_VERSION_MEETS_REQUIREMENT, + reason=PYARROW_HUDI_TEST_SKIP_REASON, +) +@pytest.mark.parametrize( + "fs,data_path", + [ + (None, lazy_fixture("local_path")), + (lazy_fixture("local_fs"), lazy_fixture("local_path")), + ], +) +def test_hudi_incremental_query_v6_trips_table(ray_start_regular_shared, fs, data_path): + table_path = _get_hudi_table_path(fs, data_path, "v6_trips_8i1u") + + first_commit = "20250715043008154" + second_commit = "20250715043011090" + ds = ray.data.read_hudi( + table_path, + query_type="incremental", + hudi_options={ + "hoodie.read.file_group.start_timestamp": first_commit, + "hoodie.read.file_group.end_timestamp": second_commit, }, + ) + + assert ds.schema().names == [ + "_hoodie_commit_time", + "_hoodie_commit_seqno", + "_hoodie_record_key", + "_hoodie_partition_path", + "_hoodie_file_name", + "ts", + "uuid", + "rider", + "driver", + "fare", + "city", + ] + assert ds.count() == 1 + rows = ds.select_columns(["_hoodie_commit_time", "ts", "rider", "fare"]).take_all() + assert rows == [ { - "_hoodie_commit_time": "20240402144910683", + "_hoodie_commit_time": second_commit, "ts": 1695046462179, - "uuid": "9909a8b1-2d15-4d3d-8ec9-efc48c536a00", - "fare": 339.0, + "rider": "rider-D", + "fare": 25.0, }, ] diff --git a/python/requirements/ml/data-test-requirements.txt b/python/requirements/ml/data-test-requirements.txt index 61e7dd477850..a5a6947cfba5 100644 --- a/python/requirements/ml/data-test-requirements.txt +++ b/python/requirements/ml/data-test-requirements.txt @@ -21,4 +21,4 @@ decord snowflake-connector-python>=3.15.0 pyiceberg[sql-sqlite]==0.9.0 clickhouse-connect -hudi==0.2.0 +hudi==0.4.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 84b73fbc1c10..9fba114fac48 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -729,7 +729,7 @@ httpx==0.27.2 # -r python/requirements/test-requirements.txt # gradio # gradio-client -hudi==0.2.0 +hudi==0.4.0 # via -r python/requirements/ml/data-test-requirements.txt huggingface-hub==0.27.0 # via From 501ed8d9e1f339cb37fa2c7c8c3ad5569b4888ee Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 28 Jul 2025 17:08:33 -0700 Subject: [PATCH 0372/1566] [core] Miscellaneous cleanup around storing task outputs (#54908) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 27 ++- python/ray/includes/common.pxd | 1 - src/mock/ray/object_manager/plasma/client.h | 5 - src/ray/common/status.h | 5 - src/ray/core_worker/core_worker.cc | 14 +- .../store_provider/plasma_store_provider.cc | 21 +- .../core_worker/transport/task_receiver.cc | 6 +- src/ray/object_manager/plasma/client.cc | 225 +++++++----------- src/ray/object_manager/plasma/client.h | 24 -- .../plasma/create_request_queue.cc | 4 +- .../plasma/get_request_queue.cc | 6 +- .../plasma/obj_lifecycle_mgr.cc | 1 - src/ray/object_manager/plasma/object_store.cc | 8 +- src/ray/object_manager/plasma/protocol.cc | 15 +- src/ray/object_manager/plasma/protocol.h | 14 +- src/ray/protobuf/node_manager.proto | 3 +- src/ray/raylet/test/node_manager_test.cc | 4 - 17 files changed, 143 insertions(+), 240 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 8068142fdaf2..f65674aee3aa 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2380,11 +2380,7 @@ cdef CRayStatus task_execution_handler( traceback_str = str(e) logger.error("Exception raised " f"in creation task: {traceback_str}") - # Cython's bug that doesn't allow reference assignment, - # this is a workaroud. - # See https://github.com/cython/cython/issues/1863 - (&creation_task_exception_pb_bytes)[0] = ( - ray_error_to_memory_buf(e)) + creation_task_exception_pb_bytes = ray_error_to_memory_buf(e) sys_exit.is_creation_task_error = True sys_exit.init_error_message = ( "Exception raised from an actor init method. " @@ -4411,18 +4407,27 @@ cdef class CoreWorker: serialized_object.contained_object_refs) if not self.store_task_output( - serialized_object, return_id, + serialized_object, + return_id, c_ref_generator_id, - data_size, metadata, contained_id, caller_address, - &task_output_inlined_bytes, return_ptr): + data_size, + metadata, + contained_id, + caller_address, + &task_output_inlined_bytes, + return_ptr): # If the object already exists, but we fail to pin the copy, it # means the existing copy might've gotten evicted. Try to # create another copy. self.store_task_output( - serialized_object, return_id, + serialized_object, + return_id, c_ref_generator_id, - data_size, metadata, - contained_id, caller_address, &task_output_inlined_bytes, + data_size, + metadata, + contained_id, + caller_address, + &task_output_inlined_bytes, return_ptr) num_outputs_stored += 1 diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 42dc22cb3b1d..6953e1c4f27c 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -125,7 +125,6 @@ cdef extern from "ray/common/status.h" namespace "ray" nogil: c_bool IsTimedOut() c_bool IsInvalidArgument() c_bool IsInterrupted() - c_bool ShouldExitWorker() c_bool IsObjectNotFound() c_bool IsNotFound() c_bool IsObjectUnknownOwner() diff --git a/src/mock/ray/object_manager/plasma/client.h b/src/mock/ray/object_manager/plasma/client.h index 37257badf8c1..52ef1fa825b2 100644 --- a/src/mock/ray/object_manager/plasma/client.h +++ b/src/mock/ray/object_manager/plasma/client.h @@ -45,11 +45,6 @@ class MockPlasmaClient : public PlasmaClientInterface { bool is_from_worker), (override)); - MOCK_METHOD(Status, - ExperimentalMutableObjectRegisterWriter, - (const ObjectID &object_id), - (override)); - MOCK_METHOD(Status, GetExperimentalMutableObject, (const ObjectID &object_id, std::unique_ptr *mutable_object), diff --git a/src/ray/common/status.h b/src/ray/common/status.h index cb91a4267693..2c5c82a856cb 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -274,11 +274,6 @@ class RAY_EXPORT Status { bool IsRedisError() const { return code() == StatusCode::RedisError; } bool IsTimedOut() const { return code() == StatusCode::TimedOut; } bool IsInterrupted() const { return code() == StatusCode::Interrupted; } - bool ShouldExitWorker() const { - return code() == StatusCode::IntentionalSystemExit || - code() == StatusCode::UnexpectedSystemExit || - code() == StatusCode::CreationTaskError; - } bool IsIntentionalSystemExit() const { return code() == StatusCode::IntentionalSystemExit; } diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 0752e622daec..7f5ea54c0db0 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2200,7 +2200,7 @@ void CoreWorker::TriggerGlobalGC() { Status CoreWorker::GetPlasmaUsage(std::string &output) { StatusOr response = plasma_store_provider_->GetMemoryUsage(); if (response.ok()) { - output = response.value(); + output = std::move(response.value()); } return response.status(); } @@ -3192,7 +3192,7 @@ Status CoreWorker::AllocateReturnObject(const ObjectID &object_id, owner_address, &data_buffer, /*created_by_worker=*/true)); - object_already_exists = !data_buffer; + object_already_exists = data_buffer == nullptr; } } // Leave the return object as a nullptr if the object already exists. @@ -3216,8 +3216,7 @@ Status CoreWorker::ExecuteTask( std::string *application_error) { RAY_LOG(DEBUG) << "Executing task, task info = " << task_spec.DebugString(); - // If the worker is exited via Exit API, we shouldn't execute - // tasks anymore. + // If the worker is exited via Exit API, we shouldn't execute tasks anymore. if (IsExiting()) { absl::MutexLock lock(&mutex_); return Status::IntentionalSystemExit( @@ -3295,7 +3294,6 @@ Status CoreWorker::ExecuteTask( } } - Status status; TaskType task_type = TaskType::NORMAL_TASK; if (task_spec.IsActorCreationTask()) { task_type = TaskType::ACTOR_CREATION_TASK; @@ -3327,7 +3325,7 @@ Status CoreWorker::ExecuteTask( name_of_concurrency_group_to_execute = task_spec.ConcurrencyGroupName(); } - status = options_.task_execution_callback( + Status status = options_.task_execution_callback( task_spec.CallerAddress(), task_type, task_spec.GetName(), @@ -3416,8 +3414,8 @@ Status CoreWorker::ExecuteTask( Exit(rpc::WorkerExitType::SYSTEM_ERROR, absl::StrCat("Worker exits unexpectedly. ", status.message()), creation_task_exception_pb_bytes); - } else if (!status.ok()) { - RAY_LOG(FATAL) << "Unexpected task status type : " << status; + } else { + RAY_CHECK_OK(status) << "Unexpected task status type : " << status; } return status; } diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 3e921671630b..e700aa55627b 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -128,10 +128,9 @@ Status CoreWorkerPlasmaStoreProvider::Create(const std::shared_ptr &meta std::shared_ptr *data, bool created_by_worker, bool is_mutable) { - auto source = plasma::flatbuf::ObjectSource::CreatedByWorker; - if (!created_by_worker) { - source = plasma::flatbuf::ObjectSource::RestoredFromStorage; - } + const auto source = created_by_worker + ? plasma::flatbuf::ObjectSource::CreatedByWorker + : plasma::flatbuf::ObjectSource::RestoredFromStorage; Status status = store_client_->CreateAndSpillIfNeeded(object_id, owner_address, @@ -164,8 +163,6 @@ Status CoreWorkerPlasmaStoreProvider::Create(const std::shared_ptr &meta RAY_LOG_EVERY_MS(WARNING, 5000) << "Trying to put an object that already existed in plasma: " << object_id << "."; status = Status::OK(); - } else { - RAY_RETURN_NOT_OK(status); } return status; } @@ -203,24 +200,24 @@ Status CoreWorkerPlasmaStoreProvider::FetchAndGetFromPlasmaStore( const auto &object_id = batch_ids[i]; std::shared_ptr data = nullptr; std::shared_ptr metadata = nullptr; - if (plasma_results[i].data && plasma_results[i].data->Size()) { + if (plasma_results[i].data && plasma_results[i].data->Size() > 0) { // We track the set of active data buffers in active_buffers_. On destruction, // the buffer entry will be removed from the set via callback. data = std::make_shared( - plasma_results[i].data, buffer_tracker_, object_id); + std::move(plasma_results[i].data), buffer_tracker_, object_id); buffer_tracker_->Record(object_id, data.get(), get_current_call_site_()); } - if (plasma_results[i].metadata && plasma_results[i].metadata->Size()) { - metadata = plasma_results[i].metadata; + if (plasma_results[i].metadata && plasma_results[i].metadata->Size() > 0) { + metadata = std::move(plasma_results[i].metadata); } - const auto result_object = std::make_shared( + auto result_object = std::make_shared( data, metadata, std::vector()); - (*results)[object_id] = result_object; remaining.erase(object_id); if (result_object->IsException()) { RAY_CHECK(!result_object->IsInPlasmaError()); *got_exception = true; } + (*results)[object_id] = std::move(result_object); } } diff --git a/src/ray/core_worker/transport/task_receiver.cc b/src/ray/core_worker/transport/task_receiver.cc index b218bdceec20..0408f8030fcd 100644 --- a/src/ray/core_worker/transport/task_receiver.cc +++ b/src/ray/core_worker/transport/task_receiver.cc @@ -163,7 +163,8 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, } } } - if (status.ShouldExitWorker()) { + if (status.IsIntentionalSystemExit() || status.IsUnexpectedSystemExit() || + status.IsCreationTaskError()) { // Don't allow the worker to be reused, even though the reply status is OK. // The worker will be shutting down shortly. reply->set_worker_exiting(true); @@ -174,8 +175,9 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, send_reply_callback(status, nullptr, nullptr); } } else { + RAY_CHECK_OK(status); RAY_CHECK(objects_valid); - send_reply_callback(status, nullptr, nullptr); + send_reply_callback(Status::OK(), nullptr, nullptr); } }; diff --git a/src/ray/object_manager/plasma/client.cc b/src/ray/object_manager/plasma/client.cc index a15f6eb5b165..aff25bc42fb9 100644 --- a/src/ray/object_manager/plasma/client.cc +++ b/src/ray/object_manager/plasma/client.cc @@ -120,13 +120,6 @@ class PlasmaClient::Impl : public std::enable_shared_from_this *data); - Status TryCreateImmediately(const ObjectID &object_id, const ray::rpc::Address &owner_address, int64_t data_size, @@ -147,8 +140,6 @@ class PlasmaClient::Impl : public std::enable_shared_from_this *mutable_object); @@ -196,8 +187,6 @@ class PlasmaClient::Impl : public std::enable_shared_from_this( - const ObjectID &, const std::shared_ptr &)> &wrap_buffer, ObjectBuffer *object_buffers, bool is_from_worker); @@ -328,7 +317,7 @@ Status PlasmaClient::Impl::HandleCreateReply(const ObjectID &object_id, MEMFD_TYPE store_fd; int64_t mmap_size; - if (retry_with_request_id) { + if (retry_with_request_id != nullptr) { RAY_RETURN_NOT_OK(ReadCreateReply(buffer.data(), buffer.size(), &id, @@ -344,29 +333,26 @@ Status PlasmaClient::Impl::HandleCreateReply(const ObjectID &object_id, uint64_t unused = 0; RAY_RETURN_NOT_OK(ReadCreateReply( buffer.data(), buffer.size(), &id, &unused, object.get(), &store_fd, &mmap_size)); - RAY_CHECK(unused == 0); + RAY_CHECK_EQ(unused, 0ul); } // If the CreateReply included an error, then the store will not send a file // descriptor. - if (object->device_num == 0) { - // The metadata should come right after the data. - RAY_CHECK(object->metadata_offset == object->data_offset + object->data_size); - RAY_LOG(DEBUG) << "GetStoreFdAndMmap " << store_fd.first << ", " << store_fd.second - << ", size " << mmap_size << " for object id " << id; - *data = std::make_shared( - shared_from_this(), - GetStoreFdAndMmap(store_fd, mmap_size) + object->data_offset, - object->data_size); - // If plasma_create is being called from a transfer, then we will not copy the - // metadata here. The metadata will be written along with the data streamed - // from the transfer. - if (metadata != NULL) { - // Copy the metadata to the buffer. - memcpy((*data)->Data() + object->data_size, metadata, object->metadata_size); - } - } else { - RAY_LOG(FATAL) << "GPU is not enabled."; + RAY_CHECK_EQ(object->device_num, 0) << "GPU is not enabled."; + // The metadata should come right after the data. + RAY_CHECK_EQ(object->metadata_offset, object->data_offset + object->data_size); + RAY_LOG(DEBUG) << "GetStoreFdAndMmap " << store_fd.first << ", " << store_fd.second + << ", size " << mmap_size << " for object id " << id; + *data = std::make_shared( + shared_from_this(), + GetStoreFdAndMmap(store_fd, mmap_size) + object->data_offset, + object->data_size); + // If plasma_create is being called from a transfer, then we will not copy the + // metadata here. The metadata will be written along with the data streamed + // from the transfer. + if (metadata != nullptr) { + // Copy the metadata to the buffer. + memcpy((*data)->Data() + object->data_size, metadata, object->metadata_size); } // Add the object as in use. A call to PlasmaClient::Release is required to @@ -407,54 +393,48 @@ Status PlasmaClient::Impl::CreateAndSpillIfNeeded(const ObjectID &object_id, std::shared_ptr *data, fb::ObjectSource source, int device_num) { - std::unique_lock guard(client_mutex_); uint64_t retry_with_request_id = 0; - - RAY_LOG(DEBUG) << "called plasma_create on conn " << store_conn_ << " with size " - << data_size << " and metadata size " << metadata_size; - RAY_RETURN_NOT_OK(SendCreateRequest(store_conn_, - object_id, - owner_address, - is_experimental_mutable_object, - data_size, - metadata_size, - source, - device_num, - /*try_immediately=*/false)); - Status status = HandleCreateReply( - object_id, is_experimental_mutable_object, metadata, &retry_with_request_id, data); + Status status; + { + std::unique_lock guard(client_mutex_); + + RAY_LOG(DEBUG) << "called plasma_create on conn " << store_conn_ << " with size " + << data_size << " and metadata size " << metadata_size; + RAY_RETURN_NOT_OK(SendCreateRequest(store_conn_, + object_id, + owner_address, + is_experimental_mutable_object, + data_size, + metadata_size, + source, + device_num, + /*try_immediately=*/false)); + status = HandleCreateReply(object_id, + is_experimental_mutable_object, + metadata, + &retry_with_request_id, + data); + } while (retry_with_request_id > 0) { - guard.unlock(); // TODO(sang): Consider using exponential backoff here. std::this_thread::sleep_for( std::chrono::milliseconds(RayConfig::instance().object_store_full_delay_ms())); - guard.lock(); + std::unique_lock guard(client_mutex_); RAY_LOG(DEBUG) << "Retrying request for object " << object_id << " with request ID " << retry_with_request_id; - status = RetryCreate(object_id, - retry_with_request_id, - is_experimental_mutable_object, - metadata, - &retry_with_request_id, - data); + RAY_RETURN_NOT_OK( + SendCreateRetryRequest(store_conn_, object_id, retry_with_request_id)); + status = HandleCreateReply(object_id, + is_experimental_mutable_object, + metadata, + &retry_with_request_id, + data); } return status; } -Status PlasmaClient::Impl::RetryCreate(const ObjectID &object_id, - uint64_t request_id, - bool is_experimental_mutable_object, - const uint8_t *metadata, - uint64_t *retry_with_request_id, - std::shared_ptr *data) { - std::lock_guard guard(client_mutex_); - RAY_RETURN_NOT_OK(SendCreateRetryRequest(store_conn_, object_id, request_id)); - return HandleCreateReply( - object_id, is_experimental_mutable_object, metadata, retry_with_request_id, data); -} - Status PlasmaClient::Impl::TryCreateImmediately(const ObjectID &object_id, const ray::rpc::Address &owner_address, int64_t data_size, @@ -480,14 +460,11 @@ Status PlasmaClient::Impl::TryCreateImmediately(const ObjectID &object_id, object_id, /*is_experimental_mutable_object=*/false, metadata, nullptr, data); } -Status PlasmaClient::Impl::GetBuffers( - const ObjectID *object_ids, - int64_t num_objects, - int64_t timeout_ms, - const std::function( - const ObjectID &, const std::shared_ptr &)> &wrap_buffer, - ObjectBuffer *object_buffers, - bool is_from_worker) { +Status PlasmaClient::Impl::GetBuffers(const ObjectID *object_ids, + int64_t num_objects, + int64_t timeout_ms, + ObjectBuffer *object_buffers, + bool is_from_worker) { // Fill out the info for the objects that are already in use locally. bool all_present = true; for (int64_t i = 0; i < num_objects; ++i) { @@ -500,7 +477,7 @@ Status PlasmaClient::Impl::GetBuffers( // This client created the object but hasn't sealed it. If we call Get // with no timeout, we will deadlock, because this client won't be able to // call Seal. - RAY_CHECK(timeout_ms != -1) + RAY_CHECK_NE(timeout_ms, -1) << "Plasma client called get on an unsealed object that it created"; RAY_LOG(WARNING) << "Attempting to get an object that this client created but hasn't sealed."; @@ -508,18 +485,18 @@ Status PlasmaClient::Impl::GetBuffers( } else { PlasmaObject *object = &object_entry->second->object; - std::shared_ptr physical_buf; RAY_LOG(DEBUG) << "Plasma Get " << object_ids[i] << ", data size: " << object->data_size << ", metadata size: " << object->metadata_size; - if (object->device_num == 0) { - uint8_t *data = LookupMmappedFile(object->store_fd); - physical_buf = std::make_shared( - data + object->data_offset, object->data_size + object->metadata_size); - } else { - RAY_LOG(FATAL) << "GPU library is not enabled."; - } - physical_buf = wrap_buffer(object_ids[i], physical_buf); + RAY_CHECK_EQ(object->device_num, 0) << "GPU library is not enabled."; + + uint8_t *data = LookupMmappedFile(object->store_fd); + auto physical_buf = std::make_shared( + shared_from_this(), + object_ids[i], + std::make_shared( + data + object->data_offset, object->data_size + object->metadata_size)); + object_buffers[i].data = SharedMemoryBuffer::Slice(physical_buf, 0, object->data_size); object_buffers[i].metadata = SharedMemoryBuffer::Slice( @@ -548,13 +525,13 @@ Status PlasmaClient::Impl::GetBuffers( std::vector object_data(num_objects); std::vector store_fds; std::vector mmap_sizes; - RAY_RETURN_NOT_OK(ReadGetReply(buffer.data(), - buffer.size(), - received_object_ids.data(), - object_data.data(), - num_objects, - store_fds, - mmap_sizes)); + ReadGetReply(buffer.data(), + buffer.size(), + received_object_ids.data(), + object_data.data(), + num_objects, + store_fds, + mmap_sizes); // We mmap all of the file descriptors here so that we can avoid look them up // in the subsequent loop based on just the store file descriptor and without @@ -590,20 +567,20 @@ Status PlasmaClient::Impl::GetBuffers( } auto &object_entry = objects_in_use_[received_object_ids[i]]; - std::shared_ptr physical_buf; RAY_LOG(DEBUG) << "Plasma Get " << received_object_ids[i] << ", data size: " << object_entry->object.data_size << ", metadata size: " << object_entry->object.metadata_size; - if (object_entry->object.device_num == 0) { - uint8_t *data = LookupMmappedFile(object_entry->object.store_fd); - physical_buf = std::make_shared( - data + object_entry->object.data_offset, - object_entry->object.data_size + object_entry->object.metadata_size); - } else { - RAY_LOG(FATAL) << "Arrow GPU library is not enabled."; - } + RAY_CHECK_EQ(object_entry->object.device_num, 0) + << "Arrow GPU library is not enabled."; + uint8_t *data = LookupMmappedFile(object_entry->object.store_fd); + // Finish filling out the return values. - physical_buf = wrap_buffer(object_ids[i], physical_buf); + auto physical_buf = std::make_shared( + shared_from_this(), + object_ids[i], + std::make_shared( + data + object_entry->object.data_offset, + object_entry->object.data_size + object_entry->object.metadata_size)); object_buffers[i].data = SharedMemoryBuffer::Slice(physical_buf, 0, object_entry->object.data_size); object_buffers[i].metadata = @@ -621,31 +598,6 @@ Status PlasmaClient::Impl::GetBuffers( return Status::OK(); } -Status PlasmaClient::Impl::ExperimentalMutableObjectRegisterWriter( - const ObjectID &object_id) { -#if 0 - plasma::ObjectBuffer object_buffer; - const auto wrap_buffer = [=](const ObjectID &object_id, - const std::shared_ptr &buffer) { - return std::make_shared(shared_from_this(), object_id, buffer); - }; - RAY_RETURN_NOT_OK(GetBuffers(&object_id, - /*num_objects=*/1, - /*timeout_ms=*/-1, - wrap_buffer, - &object_buffer, - /*is_from_worker=*/false)); - - std::lock_guard guard(client_mutex_); - auto object_entry = objects_in_use_.find(object_id); - if (object_entry == objects_in_use_.end()) { - return Status::Invalid( - "Plasma buffer for mutable object is not local."); - } -#endif - return Status::OK(); -} - Status PlasmaClient::Impl::GetExperimentalMutableObject( const ObjectID &object_id, std::unique_ptr *mutable_object) { #if defined(_WIN32) @@ -671,8 +623,8 @@ Status PlasmaClient::Impl::GetExperimentalMutableObject( IncrementObjectCount(object_id); const auto &object = object_entry->second->object; - *mutable_object = std::unique_ptr( - new MutableObject(LookupMmappedFile(object.store_fd), object)); + *mutable_object = + std::make_unique(LookupMmappedFile(object.store_fd), object); return Status::OK(); } @@ -681,21 +633,16 @@ Status PlasmaClient::Impl::Get(const std::vector &object_ids, std::vector *out, bool is_from_worker) { std::lock_guard guard(client_mutex_); - - const auto wrap_buffer = [=](const ObjectID &object_id, - const std::shared_ptr &buffer) { - return std::make_shared(shared_from_this(), object_id, buffer); - }; const size_t num_objects = object_ids.size(); *out = std::vector(num_objects); return GetBuffers( - &object_ids[0], num_objects, timeout_ms, wrap_buffer, &(*out)[0], is_from_worker); + object_ids.data(), num_objects, timeout_ms, out->data(), is_from_worker); } Status PlasmaClient::Impl::MarkObjectUnused(const ObjectID &object_id) { auto object_entry = objects_in_use_.find(object_id); RAY_CHECK(object_entry != objects_in_use_.end()); - RAY_CHECK(object_entry->second->count == 0); + RAY_CHECK_EQ(object_entry->second->count, 0); // Remove the entry from the hash table of objects currently in use. objects_in_use_.erase(object_id); @@ -715,7 +662,7 @@ Status PlasmaClient::Impl::Release(const ObjectID &object_id) { object_entry->second->count -= 1; RAY_LOG(DEBUG) << "Decrement object count " << object_id << " count is now " << object_entry->second->count; - RAY_CHECK(object_entry->second->count >= 0); + RAY_CHECK_GE(object_entry->second->count, 0); if (object_entry->second->count == 0) { RAY_LOG(DEBUG) << "Releasing object no longer in use " << object_id; @@ -805,7 +752,7 @@ Status PlasmaClient::Impl::Seal(const ObjectID &object_id) { RAY_RETURN_NOT_OK(PlasmaReceive(store_conn_, MessageType::PlasmaSealReply, &buffer)); ObjectID sealed_id; RAY_RETURN_NOT_OK(ReadSealReply(buffer.data(), buffer.size(), &sealed_id)); - RAY_CHECK(sealed_id == object_id); + RAY_CHECK_EQ(sealed_id, object_id); // We call PlasmaClient::Release to decrement the number of instances of this // object // that are currently being used by this client. The corresponding increment @@ -980,10 +927,6 @@ Status PlasmaClient::Get(const std::vector &object_ids, return impl_->Get(object_ids, timeout_ms, object_buffers, is_from_worker); } -Status PlasmaClient::ExperimentalMutableObjectRegisterWriter(const ObjectID &object_id) { - return impl_->ExperimentalMutableObjectRegisterWriter(object_id); -} - Status PlasmaClient::GetExperimentalMutableObject( const ObjectID &object_id, std::unique_ptr *mutable_object) { // First make sure the object is in scope. The ObjectBuffer will keep the diff --git a/src/ray/object_manager/plasma/client.h b/src/ray/object_manager/plasma/client.h index 41697b775a5a..260d6846f455 100644 --- a/src/ray/object_manager/plasma/client.h +++ b/src/ray/object_manager/plasma/client.h @@ -127,13 +127,6 @@ class PlasmaClientInterface { std::vector *object_buffers, bool is_from_worker) = 0; - /// Register an experimental mutable object writer. The writer is on a different node - /// and wants to write to this node. - /// - /// \param[in] object_id The ID of the object. - /// \return The return status. - virtual Status ExperimentalMutableObjectRegisterWriter(const ObjectID &object_id) = 0; - /// Get an experimental mutable object. /// /// \param[in] object_id The ID of the object. @@ -274,8 +267,6 @@ class PlasmaClient : public PlasmaClientInterface { std::vector *object_buffers, bool is_from_worker) override; - Status ExperimentalMutableObjectRegisterWriter(const ObjectID &object_id) override; - Status GetExperimentalMutableObject( const ObjectID &object_id, std::unique_ptr *mutable_object) override; @@ -302,21 +293,6 @@ class PlasmaClient : public PlasmaClientInterface { int64_t store_capacity(); private: - /// Retry a previous create call using the returned request ID. - /// - /// \param object_id The ID to use for the newly created object. - /// \param request_id The request ID returned by the previous Create call. - /// \param metadata The object's metadata. If there is no metadata, this - /// pointer should be NULL. - /// \param retry_with_request_id If the request is not yet fulfilled, this - /// will be set to a unique ID with which the client should retry. - /// \param data The address of the newly created object will be written here. - Status RetryCreate(const ObjectID &object_id, - uint64_t request_id, - const uint8_t *metadata, - uint64_t *retry_with_request_id, - std::shared_ptr *data); - friend class PlasmaBuffer; friend class PlasmaMutableBuffer; bool IsInUse(const ObjectID &object_id); diff --git a/src/ray/object_manager/plasma/create_request_queue.cc b/src/ray/object_manager/plasma/create_request_queue.cc index 82c3ec69f589..1ed969efa69d 100644 --- a/src/ray/object_manager/plasma/create_request_queue.cc +++ b/src/ray/object_manager/plasma/create_request_queue.cc @@ -32,8 +32,8 @@ uint64_t CreateRequestQueue::AddRequest(const ObjectID &object_id, size_t object_size) { auto req_id = next_req_id_++; fulfilled_requests_[req_id] = nullptr; - queue_.emplace_back( - new CreateRequest(object_id, req_id, client, create_callback, object_size)); + queue_.emplace_back(std::make_unique( + object_id, req_id, client, create_callback, object_size)); num_bytes_pending_ += object_size; return req_id; } diff --git a/src/ray/object_manager/plasma/get_request_queue.cc b/src/ray/object_manager/plasma/get_request_queue.cc index 185e94f4a8e8..a4a44ae8998d 100644 --- a/src/ray/object_manager/plasma/get_request_queue.cc +++ b/src/ray/object_manager/plasma/get_request_queue.cc @@ -62,10 +62,10 @@ void GetRequestQueue::AddRequest(const std::shared_ptr &client, auto get_request = std::make_shared( io_context_, client, object_ids, is_from_worker, unique_ids.size()); for (const auto &object_id : unique_ids) { - // Check if this object is already present - // locally. If so, record that the object is being used and mark it as accounted for. + // Check if this object is already present locally. If so, record that the object is + // being used and mark it as accounted for. auto entry = object_lifecycle_mgr_.GetObject(object_id); - if (entry && entry->Sealed()) { + if (entry != nullptr && entry->Sealed()) { // Update the get request to take into account the present object. auto *plasma_object = &get_request->objects[object_id]; entry->ToPlasmaObject(plasma_object, /* checksealed */ true); diff --git a/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc b/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc index 440d72a37d38..c49eec1e473d 100644 --- a/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc +++ b/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc @@ -36,7 +36,6 @@ ObjectLifecycleManager::ObjectLifecycleManager( : object_store_(std::make_unique(allocator)), eviction_policy_(std::make_unique(*object_store_, allocator)), delete_object_callback_(std::move(delete_object_callback)), - earger_deletion_objects_(), stats_collector_(std::make_unique()) {} std::pair ObjectLifecycleManager::CreateObject( diff --git a/src/ray/object_manager/plasma/object_store.cc b/src/ray/object_manager/plasma/object_store.cc index 7db1f6e9be19..a2f952ffc6e4 100644 --- a/src/ray/object_manager/plasma/object_store.cc +++ b/src/ray/object_manager/plasma/object_store.cc @@ -22,15 +22,14 @@ namespace plasma { -ObjectStore::ObjectStore(IAllocator &allocator) - : allocator_(allocator), object_table_() {} +ObjectStore::ObjectStore(IAllocator &allocator) : allocator_(allocator) {} const LocalObject *ObjectStore::CreateObject(const ray::ObjectInfo &object_info, plasma::flatbuf::ObjectSource source, bool fallback_allocate) { RAY_LOG(DEBUG) << "attempting to create object " << object_info.object_id << " size " << object_info.data_size; - RAY_CHECK(object_table_.count(object_info.object_id) == 0) + RAY_CHECK(!object_table_.contains(object_info.object_id)) << object_info.object_id << " already exists!"; auto object_size = object_info.GetObjectSize(); auto allocation = fallback_allocate ? allocator_.FallbackAllocate(object_size) @@ -81,10 +80,9 @@ const LocalObject *ObjectStore::SealObject(const ObjectID &object_id) { bool ObjectStore::DeleteObject(const ObjectID &object_id) { auto entry = GetMutableObject(object_id); - if (!entry) { + if (entry == nullptr) { return false; } - allocator_.Free(std::move(entry->allocation)); object_table_.erase(object_id); return true; diff --git a/src/ray/object_manager/plasma/protocol.cc b/src/ray/object_manager/plasma/protocol.cc index de4e5614a0d4..002da9fa67fc 100644 --- a/src/ray/object_manager/plasma/protocol.cc +++ b/src/ray/object_manager/plasma/protocol.cc @@ -658,13 +658,13 @@ Status SendGetReply(const std::shared_ptr &client, return PlasmaSend(client, MessageType::PlasmaGetReply, &fbb, message); } -Status ReadGetReply(uint8_t *data, - size_t size, - ObjectID object_ids[], - PlasmaObject plasma_objects[], - int64_t num_objects, - std::vector &store_fds, - std::vector &mmap_sizes) { +void ReadGetReply(uint8_t *data, + size_t size, + ObjectID object_ids[], + PlasmaObject plasma_objects[], + int64_t num_objects, + std::vector &store_fds, + std::vector &mmap_sizes) { RAY_DCHECK(data); auto message = flatbuffers::GetRoot(data); RAY_DCHECK(VerifyFlatbuffer(message, data, size)); @@ -692,7 +692,6 @@ Status ReadGetReply(uint8_t *data, {INT2FD(message->store_fds()->Get(i)), message->unique_fd_ids()->Get(i)}); mmap_sizes.push_back(message->mmap_sizes()->Get(i)); } - return Status::OK(); } } // namespace plasma diff --git a/src/ray/object_manager/plasma/protocol.h b/src/ray/object_manager/plasma/protocol.h index ba9e131f682e..154f8b8085e2 100644 --- a/src/ray/object_manager/plasma/protocol.h +++ b/src/ray/object_manager/plasma/protocol.h @@ -163,13 +163,13 @@ Status SendGetReply(const std::shared_ptr &client, const std::vector &store_fds, const std::vector &mmap_sizes); -Status ReadGetReply(uint8_t *data, - size_t size, - ObjectID object_ids[], - PlasmaObject plasma_objects[], - int64_t num_objects, - std::vector &store_fds, - std::vector &mmap_sizes); +void ReadGetReply(uint8_t *data, + size_t size, + ObjectID object_ids[], + PlasmaObject plasma_objects[], + int64_t num_objects, + std::vector &store_fds, + std::vector &mmap_sizes); /* Plasma Release message functions. */ diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index b0bb4afea2a8..6dd253ac8c6e 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -490,6 +490,7 @@ service NodeManagerService { returns (RegisterMutableObjectReply); // Failure: TODO: Handle network failure for cgraphs. rpc PushMutableObject(PushMutableObjectRequest) returns (PushMutableObjectReply); - // Failure: Uses retryable grpc client for retries. + // Failure: Is currently only used when grpc channel is unavailable for retryable core + // worker clients. The unavailable callback will eventually be retried so if this fails. rpc IsLocalWorkerDead(IsLocalWorkerDeadRequest) returns (IsLocalWorkerDeadReply); } diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 5211b20ed000..b1f5ae069463 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -143,10 +143,6 @@ class FakePlasmaClient : public plasma::PlasmaClientInterface { return Status::OK(); } - Status ExperimentalMutableObjectRegisterWriter(const ObjectID &object_id) override { - return Status::OK(); - } - Status GetExperimentalMutableObject( const ObjectID &object_id, std::unique_ptr *mutable_object) override { From aba864f4a1d241dc3efa392dab52a272ff605946 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 29 Jul 2025 00:03:45 -0700 Subject: [PATCH 0373/1566] [ci] only supports building one windows wheel at a time (#55000) removes the incorrect genrule query and "preclean" function. the "preclean" function does not work with non-local genrules, because the `ci/run/bazel.py` preclean assumes all output files of the genrules under `//:all` are local genrules, and it is trying to temper with the output, which is unsafe for non-local, normal genrules. we are no longer building windows python wheels of different python versions any more. each wheel building for each python version runs on a clean windows CI machine now. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/run/bazel.py | 265 ---------------------------------- python/build-wheel-windows.sh | 83 +++++------ 2 files changed, 38 insertions(+), 310 deletions(-) delete mode 100755 ci/run/bazel.py diff --git a/ci/run/bazel.py b/ci/run/bazel.py deleted file mode 100755 index 32301660abfd..000000000000 --- a/ci/run/bazel.py +++ /dev/null @@ -1,265 +0,0 @@ -#!/usr/bin/env python - -import ast -import errno -import json -import os -import re -import subprocess -import stat -import sys - -from collections import defaultdict, OrderedDict - - -def textproto_format(space, key, value, json_encoder): - """Rewrites a key-value pair from textproto as JSON.""" - if value.startswith(b'"'): - evaluated = ast.literal_eval(value.decode("utf-8")) - value = json_encoder.encode(evaluated).encode("utf-8") - return b'%s["%s", %s]' % (space, key, value) - - -def textproto_split(input_lines, json_encoder): - """When given e.g. the output of "bazel aquery --output=textproto", - yields each top-level item as a string formatted as JSON (if an encoder is - given) or Python AST. - The input MUST be formatted neatly line-by-line, as follows: - actions { - mnemonic: "Genrule" - environment_variables { - key: "CC" - value: "clang" - } - ... - } - targets { - id: "0" - label: "//:target" - rule_class_id: "0" - } - """ - outputs = [] - re_flags = re.M - pat_open = re.compile(b"^(\\s*)([-\\w:]+)(\\s*){$", flags=re_flags) - pat_line = re.compile(b"^(\\s*)([-\\w]+): (.*)$", flags=re_flags) - pat_close = re.compile(b"}$", flags=re_flags) - prev_comma = False - prev_tail = b"" - for full_line in input_lines: - pieces = re.split(b"(\\r|\\n)", full_line, maxsplit=1) - pieces[1:] = [b"".join(pieces[1:])] - [line, tail] = pieces - next_line = pat_open.sub(b'\\1["\\2",\\3[', line) - outputs.append( - b"" if not prev_comma else b"]" if next_line.endswith(b"}") else b"," - ) - next_line = pat_close.sub(b"]", next_line) - next_line = pat_line.sub( - lambda m: textproto_format(*(m.groups() + (json_encoder,))), next_line - ) - outputs.append(prev_tail + next_line) - if line == b"}": - yield b"".join(outputs) - del outputs[:] - prev_comma = line != b"}" and ( - next_line.endswith(b"]") or next_line.endswith(b'"') - ) - prev_tail = tail - if len(outputs) > 0: - yield b"".join(outputs) - del outputs[:] - - -def textproto_parse(stream, encoding, json_encoder): - for item in textproto_split(stream, json_encoder): - yield json.loads(item.decode(encoding)) - - -class Bazel(object): - encoding = "utf-8" - - def __init__(self, program=None): - if program is None: - program = os.getenv("BAZEL_EXECUTABLE", "bazel") - self.argv = (program,) - self.extra_args = ("--show_progress=no",) - - def _call(self, command, *args): - return subprocess.check_output( - self.argv + (command,) + args[:1] + self.extra_args + args[1:], - stdin=subprocess.PIPE, - ) - - def info(self, *args): - result = OrderedDict() - for line in self._call("info", *args).splitlines(): - (key, value) = line.split(b":", 1) - if value.startswith(b" "): - value = value[1:] - result[key.decode(self.encoding)] = value.decode(self.encoding) - return result - - def aquery(self, *args): - out = self._call("aquery", "--output=jsonproto", *args) - return json.loads(out.decode(self.encoding)) - - -def parse_aquery_shell_calls(aquery_results): - """Extracts and yields the command lines representing the genrule() rules - from Bazel aquery results. - """ - for action in aquery_results["actions"]: - if action["mnemonic"] != "Genrule": - continue - yield action["arguments"] - - -def parse_aquery_output_artifacts(aquery_results): - """Extracts and yields the file paths representing the output artifact - from the provided Bazel aquery results. - - To understand the output of aquery command in textproto format, try: - bazel aquery --include_artifacts=true --output=jsonproto \ - 'mnemonic("Genrule", deps(//:*))' - """ - fragments = {} - for fragment in aquery_results["pathFragments"]: - fragments[fragment["id"]] = fragment - - artifacts = {} - for artifact in aquery_results["artifacts"]: - artifacts[artifact["id"]] = artifact - - def _path(fragment_id): - fragment = fragments[fragment_id] - parent = _path(fragment["parentId"]) if "parentId" in fragment else [] - return parent + [fragment["label"]] - - for action in aquery_results["actions"]: - for output_id in action["outputIds"]: - path = os.path.join(*_path(artifacts[output_id]["pathFragmentId"])) - yield path - - -def textproto2json(infile, outfile): - """Translates the output of bazel aquery --output=textproto into JSON. - Useful for later command-line manipulation. - - Args: - infile: The binary input stream. - outfile: The binary output stream. - """ - json_encoder = json.JSONEncoder(indent=2) - encoding = "utf-8" - for obj in textproto_parse(infile, encoding, json_encoder): - outfile.write((json_encoder.encode(obj) + "\n").encode(encoding)) - - -def preclean(bazel_aquery): - """Cleans up any genrule() outputs for the provided target(s). - - This is useful for forcing genrule actions to re-run, because the _true_ - outputs of those actions can include a larger set of files (e.g. files - copied to the workspace) which Bazel is unable to detect changes to (or - delete changes of). - - Usually, you would run this script along with 'git clean -f', to make sure - Bazel re-copies outputs the next time a build occurs. - """ - result = 0 - bazel = Bazel() - aquery_results = bazel.aquery("--include_artifacts=true", bazel_aquery) - for path in parse_aquery_output_artifacts(aquery_results): - try: - if sys.platform == "win32": - os.chmod(path, stat.S_IWRITE) # Needed to remove read-only bit - os.remove(path) - except IOError as ex: - if ex.errno != errno.ENOENT: - sys.stderr.write(str(ex) + "\n") - result = result or ex.errno - return result - - -def shellcheck(bazel_aquery, *shellcheck_argv): - """Runs shellcheck with the provided argument(s) on all targets that match - the given Bazel aquery. - - Args: - bazel_aquery: A Bazel aquery expression (e.g. "//:*") - shellcheck_argv: The command-line arguments to call for shellcheck. - Note that the first entry should be the shellcheck program itself. - If omitted, will simply call "shellcheck". - - Returns: - The exit code of shellcheck. - """ - bazel = Bazel() - shellcheck_argv = list(shellcheck_argv) or ["shellcheck"] - all_script_infos = defaultdict(lambda: []) - aquery_results = bazel.aquery("--include_artifacts=false", bazel_aquery) - shell_calls = list(parse_aquery_shell_calls(aquery_results)) - for shell_args in shell_calls: - shname = os.path.basename(os.path.splitext(shell_args[0])[0]).lower() - finished_options = False - i = 1 - while i < len(shell_args): - if finished_options or not shell_args[i].startswith("-"): - all_script_infos[shname].append((shell_args[i], None)) - elif shell_args[i] == "--": - finished_options = True - elif shell_args[i] in ("-o", "+o"): - i += 1 - elif shell_args[i] == "-c": - all_script_infos[shname].append((None, shell_args[i + 1])) - break - i += 1 - - result = 0 - bazel_execution_root = None - for shell, script_infos in all_script_infos.items(): - scripts_combined = [] - has_stdin = False - filenames = [] - for script_file, script_text in script_infos: - if script_file is not None: - filenames.append(script_file) - if script_text is not None: - has_stdin = True - flatc = "host/bin/external/com_github_google_flatbuffers/flatc" - if flatc not in script_text: - statements = ["if test -t 0; then", script_text, "fi"] - scripts_combined.append("\n".join(statements)) - if has_stdin: - filenames.insert(0, "-") - if shell.endswith("sh"): - if bazel_execution_root is None: - bazel_execution_root = bazel.info()["execution_root"] - cwd = bazel_execution_root - cmdargs = ["--shell=" + shell, "--external-sources"] + filenames - cmdargs = shellcheck_argv + cmdargs - proc = subprocess.Popen(cmdargs, stdin=subprocess.PIPE, cwd=cwd) - try: - proc.communicate("\n".join(scripts_combined).encode("utf-8")) - finally: - proc.wait() - result = result or proc.returncode - return result - - -def main(program, command, *command_args): - result = 0 - if command == textproto2json.__name__: - result = textproto2json(sys.stdin.buffer, sys.stdout.buffer, *command_args) - elif command == shellcheck.__name__: - result = shellcheck(*command_args) - elif command == preclean.__name__: - result = preclean(*command_args) - else: - raise ValueError("Unrecognized command: " + command) - return result - - -if __name__ == "__main__": - sys.exit(main(*sys.argv) or 0) diff --git a/python/build-wheel-windows.sh b/python/build-wheel-windows.sh index c310a07b6b90..3a4b22e8b890 100755 --- a/python/build-wheel-windows.sh +++ b/python/build-wheel-windows.sh @@ -5,12 +5,6 @@ set -euxo pipefail ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE:-$0}")"; pwd)" WORKSPACE_DIR="${ROOT_DIR}/.." -PY_VERSIONS=("3.9" "3.10" "3.11" "3.12") - -bazel_preclean() { - "${WORKSPACE_DIR}"/ci/run/bazel.py preclean "mnemonic(\"Genrule\", deps(//:*))" -} - get_python_version() { python -s -c "import sys; sys.stdout.write('%s.%s' % sys.version_info[:2])" } @@ -89,6 +83,11 @@ uninstall_ray() { } build_wheel_windows() { + if [[ "${BUILD_ONE_PYTHON_ONLY:-}" == "" ]]; then + echo "Please set BUILD_ONE_PYTHON_ONLY . Building all python versions is no longer supported." + exit 1 + fi + local ray_uninstall_status=0 uninstall_ray || ray_uninstall_status=1 @@ -105,47 +104,41 @@ build_wheel_windows() { echo "build --remote_upload_local_results=false" >> ~/.bazelrc fi - for pyversion in "${PY_VERSIONS[@]}"; do - if [[ "${BUILD_ONE_PYTHON_ONLY:-}" != "" && "${pyversion}" != "${BUILD_ONE_PYTHON_ONLY}" ]]; then - continue + local pyversion="${BUILD_ONE_PYTHON_ONLY}" + + git clean -q -f -f -x -d -e "${local_dir}" -e python/ray/dashboard/client + git checkout -q -f -- . + + # Start a subshell to prevent PATH and cd from affecting our shell environment + ( + if ! is_python_version "${pyversion}"; then + conda install -y conda=24.1.2 python="${pyversion}" + fi + if ! is_python_version "${pyversion}"; then + echo "Expected pip for Python ${pyversion} but found Python $(get_python_version) with $(pip --version); exiting..." 1>&2 + exit 1 fi - bazel_preclean - git clean -q -f -f -x -d -e "${local_dir}" -e python/ray/dashboard/client - git checkout -q -f -- . - - # Start a subshell to prevent PATH and cd from affecting our shell environment - ( - if ! is_python_version "${pyversion}"; then - conda install -y conda=24.1.2 python="${pyversion}" - fi - if ! is_python_version "${pyversion}"; then - echo "Expected pip for Python ${pyversion} but found Python $(get_python_version) with $(pip --version); exiting..." 1>&2 - exit 1 - fi - - unset PYTHON2_BIN_PATH PYTHON3_BIN_PATH # make sure these aren't set by some chance - install_ray - cd "${WORKSPACE_DIR}"/python - # Set the commit SHA in _version.py. - if [ -n "$BUILDKITE_COMMIT" ]; then - sed -i.bak "s/{{RAY_COMMIT_SHA}}/$BUILDKITE_COMMIT/g" ray/_version.py && rm ray/_version.py.bak - else - echo "BUILDKITE_COMMIT variable not set - required to populated ray.__commit__." - exit 1 - fi - # build ray wheel - python -m pip wheel -q -w dist . --no-deps - # Pack any needed system dlls like msvcp140.dll - delvewheel repair dist/ray-*.whl - # build ray-cpp wheel - RAY_INSTALL_CPP=1 python -m pip wheel -q -w dist . --no-deps - # No extra dlls are needed, do not call delvewheel - uninstall_ray - ) - done - - bazel_preclean + unset PYTHON2_BIN_PATH PYTHON3_BIN_PATH # make sure these aren't set by some chance + install_ray + cd "${WORKSPACE_DIR}"/python + # Set the commit SHA in _version.py. + if [ -n "$BUILDKITE_COMMIT" ]; then + sed -i.bak "s/{{RAY_COMMIT_SHA}}/$BUILDKITE_COMMIT/g" ray/_version.py && rm ray/_version.py.bak + else + echo "BUILDKITE_COMMIT variable not set - required to populated ray.__commit__." + exit 1 + fi + # build ray wheel + python -m pip wheel -q -w dist . --no-deps + # Pack any needed system dlls like msvcp140.dll + delvewheel repair dist/ray-*.whl + # build ray-cpp wheel + RAY_INSTALL_CPP=1 python -m pip wheel -q -w dist . --no-deps + # No extra dlls are needed, do not call delvewheel + uninstall_ray + ) + if [ 0 -eq "${ray_uninstall_status}" ]; then # If Ray was previously installed, restore it install_ray fi From e339cbfcc73d04691534f2775e721e86b9dc3cc4 Mon Sep 17 00:00:00 2001 From: avibasnet31 Date: Tue, 29 Jul 2025 08:28:25 -0700 Subject: [PATCH 0374/1566] [core] replace usages of node_address with node_id (#54929) The CheckAlive functionality checks if a node is alive given a node address. However, multiple nodes can have the same address. The change substituted usages of node address for checking a node's alive status with node id which is unique. Signed-off-by: avibasnet31 Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- python/ray/dashboard/head.py | 2 +- .../modules/reporter/healthz_agent.py | 8 +++++++- .../ray/dashboard/modules/reporter/utils.py | 13 +++++-------- python/ray/includes/common.pxd | 4 ++-- python/ray/includes/gcs_client.pxi | 19 +++++++++++++------ python/ray/tests/test_gcs_utils.py | 12 +++++------- src/mock/ray/gcs/gcs_client/accessor.h | 4 ++-- src/ray/gcs/gcs_client/accessor.cc | 18 ++++++++---------- src/ray/gcs/gcs_client/accessor.h | 4 ++-- .../gcs/gcs_client/test/gcs_client_test.cc | 15 ++++++++------- src/ray/gcs/gcs_server/gcs_node_manager.cc | 7 +++---- src/ray/gcs/gcs_server/gcs_node_manager.h | 6 ------ src/ray/protobuf/gcs_service.proto | 2 +- 13 files changed, 57 insertions(+), 57 deletions(-) diff --git a/python/ray/dashboard/head.py b/python/ray/dashboard/head.py index 059c867ff66e..648428a4e215 100644 --- a/python/ray/dashboard/head.py +++ b/python/ray/dashboard/head.py @@ -165,7 +165,7 @@ async def _gcs_check_alive(self): try: # If gcs is permanently dead, gcs client will exit the process # (see gcs_rpc_client.h) - await self.gcs_client.async_check_alive(node_ips=[], timeout=None) + await self.gcs_client.async_check_alive(node_ids=[], timeout=None) except Exception: logger.warning("Failed to check gcs aliveness, will retry", exc_info=True) diff --git a/python/ray/dashboard/modules/reporter/healthz_agent.py b/python/ray/dashboard/modules/reporter/healthz_agent.py index d38849976592..09581852404d 100644 --- a/python/ray/dashboard/modules/reporter/healthz_agent.py +++ b/python/ray/dashboard/modules/reporter/healthz_agent.py @@ -4,6 +4,7 @@ import ray.dashboard.utils as dashboard_utils import ray.exceptions from ray.dashboard.modules.reporter.utils import HealthChecker +from ray._raylet import NodeID routes = optional_utils.DashboardAgentRouteTable @@ -17,9 +18,14 @@ class HealthzAgent(dashboard_utils.DashboardAgentModule): def __init__(self, dashboard_agent): super().__init__(dashboard_agent) + node_id = ( + NodeID.from_hex(dashboard_agent.node_id) + if dashboard_agent.node_id + else None + ) self._health_checker = HealthChecker( dashboard_agent.gcs_client, - f"{dashboard_agent.ip}:{dashboard_agent.node_manager_port}", + node_id, ) @routes.get("/api/local_raylet_healthz") diff --git a/python/ray/dashboard/modules/reporter/utils.py b/python/ray/dashboard/modules/reporter/utils.py index 4b7383fd95f6..7bb63a195744 100644 --- a/python/ray/dashboard/modules/reporter/utils.py +++ b/python/ray/dashboard/modules/reporter/utils.py @@ -1,20 +1,17 @@ from typing import Optional -from ray._raylet import GcsClient +from ray._raylet import GcsClient, NodeID class HealthChecker: - def __init__(self, gcs_client: GcsClient, local_node_address: Optional[str] = None): + def __init__(self, gcs_client: GcsClient, local_node_id: Optional[NodeID] = None): self._gcs_client = gcs_client - self._local_node_address = local_node_address + self._local_node_id = local_node_id async def check_local_raylet_liveness(self) -> bool: - if self._local_node_address is None: + if self._local_node_id is None: return False - - liveness = await self._gcs_client.async_check_alive( - [self._local_node_address.encode()], 0.1 - ) + liveness = await self._gcs_client.async_check_alive([self._local_node_id], 0.1) return liveness[0] async def check_gcs_liveness(self) -> bool: diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 6953e1c4f27c..f69f80f46e10 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -434,12 +434,12 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: cdef cppclass CNodeInfoAccessor "ray::gcs::NodeInfoAccessor": CRayStatus CheckAlive( - const c_vector[c_string] &raylet_addresses, + const c_vector[CNodeID] &node_ids, int64_t timeout_ms, c_vector[c_bool] &result) void AsyncCheckAlive( - const c_vector[c_string] &raylet_addresses, + const c_vector[CNodeID] &node_ids, int64_t timeout_ms, const MultiItemPyCallback[c_bool] &callback) diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 42843fe8c7d5..7185833ff3ff 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -271,28 +271,34 @@ cdef class InnerGcsClient: # NodeInfo methods ############################################################# def check_alive( - self, node_ips: List[bytes], timeout: Optional[int | float] = None + self, node_ids: List[NodeID], timeout: Optional[int | float] = None ) -> List[bool]: cdef: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - c_vector[c_string] c_node_ips = [ip for ip in node_ips] + c_vector[CNodeID] c_node_ids; c_vector[c_bool] results CRayStatus status + c_node_ids.reserve(len(node_ids)); + for node_id in node_ids: + c_node_ids.push_back((node_id).native()) with nogil: status = self.inner.get().Nodes().CheckAlive( - c_node_ips, timeout_ms, results) + c_node_ids, timeout_ms, results) return raise_or_return(convert_multi_bool(status, move(results))) def async_check_alive( - self, node_ips: List[bytes], timeout: Optional[int | float] = None + self, node_ids: List[NodeID], timeout: Optional[int | float] = None ) -> Future[List[bool]]: cdef: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - c_vector[c_string] c_node_ips = [ip for ip in node_ips] + c_vector[CNodeID] c_node_ids; fut = incremented_fut() + c_node_ids.reserve(len(node_ids)); + for node_id in node_ids: + c_node_ids.push_back((node_id).native()) with nogil: self.inner.get().Nodes().AsyncCheckAlive( - c_node_ips, timeout_ms, + c_node_ids, timeout_ms, MultiItemPyCallback[c_bool]( &convert_multi_bool, assign_and_decrement_fut, @@ -308,6 +314,7 @@ cdef class InnerGcsClient: c_vector[CNodeID] c_node_ids c_vector[c_string] results CRayStatus status + c_node_ids.reserve(len(node_ids)); for node_id in node_ids: c_node_ids.push_back(CUniqueID.FromBinary(node_id)) with nogil: diff --git a/python/ray/tests/test_gcs_utils.py b/python/ray/tests/test_gcs_utils.py index 884dc7495cf5..4c4cf55d0555 100644 --- a/python/ray/tests/test_gcs_utils.py +++ b/python/ray/tests/test_gcs_utils.py @@ -10,7 +10,7 @@ import redis import ray -from ray._raylet import GcsClient +from ray._raylet import GcsClient, NodeID import ray._private.gcs_utils as gcs_utils from ray._private.test_utils import ( external_redis_test_enabled, @@ -235,17 +235,15 @@ async def test_check_liveness(monkeypatch, ray_start_cluster): n1 = cluster.add_node(node_manager_port=find_free_port()) n2 = cluster.add_node(node_manager_port=find_free_port()) gcs_client = GcsClient(address=cluster.address) - node_manager_addresses = [ - f"{n.raylet_ip_address}:{n.node_manager_port}" for n in [h, n1, n2] - ] + node_ids = [NodeID.from_hex(n.node_id) for n in [h, n1, n2]] - ret = await gcs_client.async_check_alive(node_manager_addresses) + ret = await gcs_client.async_check_alive(node_ids) assert ret == [True, True, True] cluster.remove_node(n1) async def check(expect_liveness): - ret = await gcs_client.async_check_alive(node_manager_addresses) + ret = await gcs_client.async_check_alive(node_ids) return ret == expect_liveness await async_wait_for_condition(check, expect_liveness=[True, False, True]) @@ -254,7 +252,7 @@ async def check(expect_liveness): n2_raylet_process.kill() # GCS hasn't marked it as dead yet. - ret = await gcs_client.async_check_alive(node_manager_addresses) + ret = await gcs_client.async_check_alive(node_ids) assert ret == [True, False, True] # GCS will notice node dead soon diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index effa8a909c4c..cc35d4ae30fc 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -132,7 +132,7 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { (override)); MOCK_METHOD(void, AsyncCheckAlive, - (const std::vector &raylet_addresses, + (const std::vector &node_ids, int64_t timeout_ms, const MultiItemCallback &callback), (override)); @@ -157,7 +157,7 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { (const, override)); MOCK_METHOD(Status, CheckAlive, - (const std::vector &raylet_addresses, + (const std::vector &node_ids, int64_t timeout_ms, std::vector &nodes_alive), (override)); diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index a9560883ff3f..6a837cb776e4 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -532,11 +532,9 @@ void NodeInfoAccessor::AsyncRegister(const rpc::GcsNodeInfo &node_info, void NodeInfoAccessor::AsyncCheckSelfAlive( const std::function &callback, int64_t timeout_ms = -1) { - std::vector raylet_addresses = { - local_node_info_.node_manager_address() + ":" + - std::to_string(local_node_info_.node_manager_port())}; + std::vector node_ids = {local_node_id_}; - AsyncCheckAlive(raylet_addresses, + AsyncCheckAlive(node_ids, timeout_ms, [callback](const Status &status, const std::vector &nodes_alive) { if (!status.ok()) { @@ -549,14 +547,14 @@ void NodeInfoAccessor::AsyncCheckSelfAlive( }); } -void NodeInfoAccessor::AsyncCheckAlive(const std::vector &raylet_addresses, +void NodeInfoAccessor::AsyncCheckAlive(const std::vector &node_ids, int64_t timeout_ms, const MultiItemCallback &callback) { rpc::CheckAliveRequest request; - for (const auto &raylet_address : raylet_addresses) { - request.add_raylet_address(raylet_address); + for (const auto &node_id : node_ids) { + request.add_node_ids(node_id.Binary()); } - size_t num_raylets = raylet_addresses.size(); + size_t num_raylets = node_ids.size(); client_impl_->GetGcsRpcClient().CheckAlive( request, [num_raylets, callback](const Status &status, rpc::CheckAliveReply &&reply) { @@ -694,12 +692,12 @@ StatusOr> NodeInfoAccessor::GetAllNoCacheWithFilte return VectorFromProtobuf(std::move(*reply.mutable_node_info_list())); } -Status NodeInfoAccessor::CheckAlive(const std::vector &raylet_addresses, +Status NodeInfoAccessor::CheckAlive(const std::vector &node_ids, int64_t timeout_ms, std::vector &nodes_alive) { std::promise ret_promise; AsyncCheckAlive( - raylet_addresses, + node_ids, timeout_ms, [&ret_promise, &nodes_alive](Status status, const std::vector &alive) { nodes_alive = alive; diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index 3bb56123b53e..80508069985d 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -341,7 +341,7 @@ class NodeInfoAccessor { /// /// \param callback The callback function once the request is finished. /// \param timeout_ms The timeout for this request. - virtual void AsyncCheckAlive(const std::vector &raylet_addresses, + virtual void AsyncCheckAlive(const std::vector &node_ids, int64_t timeout_ms, const MultiItemCallback &callback); @@ -401,7 +401,7 @@ class NodeInfoAccessor { /// \param timeout_ms The timeout for this request. /// \param nodes_alive The liveness of the nodes. Only valid if the status is OK. /// \return Status - virtual Status CheckAlive(const std::vector &raylet_addresses, + virtual Status CheckAlive(const std::vector &node_ids, int64_t timeout_ms, std::vector &nodes_alive); diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 9e0ca4924ec4..20ebd7dcd7b1 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -438,8 +438,8 @@ TEST_P(GcsClientTest, TestCheckAlive) { grpc::InsecureChannelCredentials()); auto stub = rpc::NodeInfoGcsService::NewStub(std::move(channel)); rpc::CheckAliveRequest request; - *(request.mutable_raylet_address()->Add()) = "172.1.2.3:31292"; - *(request.mutable_raylet_address()->Add()) = "172.1.2.4:31293"; + request.add_node_ids(node_info1->node_id()); + request.add_node_ids(node_info2->node_id()); { grpc::ClientContext context; context.set_deadline(std::chrono::system_clock::now() + 1s); @@ -471,11 +471,12 @@ TEST_P(GcsClientTest, TestGcsClientCheckAlive) { node_info2->set_node_manager_address("172.1.2.4"); node_info2->set_node_manager_port(31293); - std::vector raylet_addresses = {"172.1.2.3:31292", "172.1.2.4:31293"}; + std::vector node_ids = {NodeID::FromBinary(node_info1->node_id()), + NodeID::FromBinary(node_info2->node_id())}; { std::vector nodes_alive; - RAY_CHECK_OK(gcs_client_->Nodes().CheckAlive( - raylet_addresses, /*timeout_ms=*/1000, nodes_alive)); + RAY_CHECK_OK( + gcs_client_->Nodes().CheckAlive(node_ids, /*timeout_ms=*/1000, nodes_alive)); ASSERT_EQ(nodes_alive.size(), 2); ASSERT_FALSE(nodes_alive[0]); ASSERT_FALSE(nodes_alive[1]); @@ -484,8 +485,8 @@ TEST_P(GcsClientTest, TestGcsClientCheckAlive) { ASSERT_TRUE(RegisterNode(*node_info1)); { std::vector nodes_alive; - RAY_CHECK_OK(gcs_client_->Nodes().CheckAlive( - raylet_addresses, /*timeout_ms=*/1000, nodes_alive)); + RAY_CHECK_OK( + gcs_client_->Nodes().CheckAlive(node_ids, /*timeout_ms=*/1000, nodes_alive)); ASSERT_EQ(nodes_alive.size(), 2); ASSERT_TRUE(nodes_alive[0]); ASSERT_FALSE(nodes_alive[1]); diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index fc9025828f30..88e6ae1a5c3d 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -139,8 +139,9 @@ void GcsNodeManager::HandleCheckAlive(rpc::CheckAliveRequest request, rpc::CheckAliveReply *reply, rpc::SendReplyCallback send_reply_callback) { reply->set_ray_version(kRayVersion); - for (const auto &addr : request.raylet_address()) { - bool is_alive = node_map_.right.count(addr) != 0; + for (const auto &id : request.node_ids()) { + const auto node_id = NodeID::FromBinary(id); + const bool is_alive = alive_nodes_.contains(node_id); reply->mutable_raylet_alive()->Add(is_alive); } @@ -339,7 +340,6 @@ void GcsNodeManager::AddNode(std::shared_ptr node) { if (iter == alive_nodes_.end()) { auto node_addr = node->node_manager_address() + ":" + std::to_string(node->node_manager_port()); - node_map_.insert(NodeIDAddrBiMap::value_type(node_id, node_addr)); alive_nodes_.emplace(node_id, node); // Notify all listeners. for (auto &listener : node_added_listeners_) { @@ -390,7 +390,6 @@ std::shared_ptr GcsNodeManager::RemoveNode( stats::NodeFailureTotal.Record(1); // Remove from alive nodes. alive_nodes_.erase(iter); - node_map_.left.erase(node_id); // Remove from draining nodes if present. draining_nodes_.erase(node_id); if (death_info->reason() == rpc::NodeDeathInfo::UNEXPECTED_TERMINATION) { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 0c30e4e2549b..980a84c3a6cc 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -283,12 +283,6 @@ class GcsNodeManager : public rpc::NodeInfoHandler { }; uint64_t counts_[CountType::CountType_MAX] = {0}; - /// A map of NodeId <-> ip:port of raylet - using NodeIDAddrBiMap = - boost::bimap>, - boost::bimaps::unordered_multiset_of>; - NodeIDAddrBiMap node_map_; - /// If true, node events are exported for Export API bool export_event_write_enabled_ = false; diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 0db6cb53d5e4..94f26855ccd6 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -253,7 +253,7 @@ message GetAllNodeInfoReply { } message CheckAliveRequest { - repeated string raylet_address = 1; + repeated bytes node_ids = 1; } message CheckAliveReply { From 24409227b6fcc9eb574e02ad1b3789e0243ad672 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 29 Jul 2025 21:33:09 +0530 Subject: [PATCH 0375/1566] [core] Ensure parity between legacy and new metric record API's wrt tag support (#54886) This pr ensures that the new metric record API behaviour matches the legacy API behaviour especially wrt tag support (only tags registered during metric definition will be recorded + changes to ensure that global tags overwrite locally specified tag values). New test cases have been added to cover these cases and some other missing cases. Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- src/ray/stats/metric.h | 42 +++++- .../tests/metric_with_open_telemetry_test.cc | 135 ++++++++++++++---- 2 files changed, 140 insertions(+), 37 deletions(-) diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 677903a5fae9..daacf41e1c10 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -317,6 +317,16 @@ inline std::vector convert_tags( return ret; } +inline std::unordered_set build_tag_key_set( + const std::vector &tag_keys) { + std::unordered_set tag_keys_set; + tag_keys_set.reserve(tag_keys.size()); + for (const auto &tag_key : tag_keys) { + tag_keys_set.insert(tag_key); + } + return tag_keys_set; +} + /* This is a helper class to define a metrics. With this class we'll be able to define a multi-view-single-measure metric for @@ -339,7 +349,9 @@ class Stats { const std::string, const std::vector, const std::vector &buckets)> register_func) - : name_(measure), tag_keys_(convert_tags(tag_keys)) { + : name_(measure), + tag_keys_(convert_tags(tag_keys)), + tag_keys_set_(build_tag_key_set(tag_keys)) { auto stats_init = [register_func, measure, description, buckets, this]() { measure_ = std::make_unique(Measure::Register(measure, description, "")); register_func(measure, description, tag_keys_, buckets); @@ -358,14 +370,28 @@ class Stats { &open_census_tags) { if (!OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered(name_)) { // Use OpenCensus to record the metric if OpenTelemetry is not registered. - opencensus::stats::Record({{*measure_, val}}, std::move(open_census_tags)); + // Insert global tags before recording. + auto combined_tags = open_census_tags; + for (const auto &tag : StatsConfig::instance().GetGlobalTags()) { + combined_tags.emplace_back(TagKeyType::Register(tag.first.name()), tag.second); + } + opencensus::stats::Record({{*measure_, val}}, std::move(combined_tags)); return; } absl::flat_hash_map open_telemetry_tags; - for (auto &[tag_key, tag_val] : open_census_tags) { - open_telemetry_tags[tag_key.name()] = tag_val; + // Insert metric-specific tags that match the expected keys. + for (const auto &tag : open_census_tags) { + const std::string &key = tag.first.name(); + if (tag_keys_set_.count(key) != 0) { + open_telemetry_tags[key] = tag.second; + } } + // Add global tags, overwriting any existing tag keys. + for (const auto &tag : StatsConfig::instance().GetGlobalTags()) { + open_telemetry_tags[tag.first.name()] = tag.second; + } + OpenTelemetryMetricRecorder::GetInstance().SetMetricValue( name_, std::move(open_telemetry_tags), val); } @@ -385,7 +411,7 @@ class Stats { if (StatsConfig::instance().IsStatsDisabled() || !measure_) { return; } - TagsType combined_tags = StatsConfig::instance().GetGlobalTags(); + TagsType combined_tags; CheckPrintableChar(tag_val); combined_tags.emplace_back(tag_keys_[0], std::move(tag_val)); RecordValue(val, combined_tags); @@ -398,7 +424,7 @@ class Stats { if (StatsConfig::instance().IsStatsDisabled() || !measure_) { return; } - TagsType combined_tags = StatsConfig::instance().GetGlobalTags(); + TagsType combined_tags; for (auto &[tag_key, tag_val] : tags) { CheckPrintableChar(tag_val); combined_tags.emplace_back(TagKeyType::Register(tag_key), std::move(tag_val)); @@ -414,7 +440,7 @@ class Stats { if (StatsConfig::instance().IsStatsDisabled() || !measure_) { return; } - TagsType combined_tags = StatsConfig::instance().GetGlobalTags(); + TagsType combined_tags; for (auto const &[tag_key, tag_val] : tags) { CheckPrintableChar(tag_val); } @@ -434,7 +460,9 @@ class Stats { } const std::string name_; + // TODO: Depricate `tag_keys_` once we have fully migrated away from opencensus const std::vector tag_keys_; + const std::unordered_set tag_keys_set_; std::unique_ptr> measure_; }; diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index e66487c27f03..d6aeb3cbb471 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -23,15 +23,19 @@ namespace telemetry { using namespace std::literals; using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; using StatsConfig = ray::stats::StatsConfig; +using TagsMap = absl::flat_hash_map; DECLARE_stats(metric_gauge_test); -DEFINE_stats( - metric_gauge_test, "A test gauge metric", ("Tag1", "Tag2"), (), ray::stats::GAUGE); +DEFINE_stats(metric_gauge_test, + "A test gauge metric", + ("Tag1", "Tag2", "Tag3"), + (), + ray::stats::GAUGE); static ray::stats::Gauge LegacyMetricGaugeTest("legacy_metric_gauge_test", "A legacy test gauge metric", "", - {"Tag1", "Tag2"}); + {"Tag1", "Tag2", "Tag3"}); DECLARE_stats(metric_counter_test); DEFINE_stats(metric_counter_test, @@ -95,33 +99,6 @@ class MetricTest : public ::testing::Test { } }; -TEST_F(MetricTest, TestGaugeMetric) { - ASSERT_TRUE( - OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered("metric_gauge_test")); - STATS_metric_gauge_test.Record(42.0, {{"Tag1", "Value1"}, {"Tag2", "Value2"}}); - LegacyMetricGaugeTest.Record(24.0, {{"Tag1"sv, "Value1"}, {"Tag2"sv, "Value2"}}); - // Test valid tags for a registered metric. - ASSERT_EQ(GetObservableMetricValue("metric_gauge_test", - {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), - 42.0); - // Test invalid tags for a registered metric. - ASSERT_EQ(GetObservableMetricValue("metric_gauge_test", - {{"Tag1", "Value1"}, {"Tag2", "Value3"}}), - std::nullopt); - // Test unregistered metric. - ASSERT_EQ(GetObservableMetricValue("metric_gauge_test_unregistered", - {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), - std::nullopt); - // Test valid tags for a legacy metric. - ASSERT_EQ(GetObservableMetricValue("legacy_metric_gauge_test", - {{"Tag1", "Value1"}, {"Tag2", "Value2"}}), - 24.0); - // Test invalid tags for a legacy metric. - ASSERT_EQ(GetObservableMetricValue("legacy_metric_gauge_test", - {{"Tag1", "Value1"}, {"Tag2", "Value3"}}), - std::nullopt); -} - TEST_F(MetricTest, TestCounterMetric) { ASSERT_TRUE(OpenTelemetryMetricRecorder::GetInstance().IsMetricRegistered( "metric_counter_test")); @@ -158,5 +135,103 @@ TEST_F(MetricTest, TestHistogramMetric) { "legacy_metric_histogram_test")); } +// Parameterized test for different possible cases when using gauge metrics +struct GaugeMetricCase { + std::string metric_name; + double record_value; + stats::TagsType record_tags; + stats::TagsType global_tags; + TagsMap expected_tags; + double expected_value; +}; + +class GaugeMetricTest : public MetricTest, + public ::testing::WithParamInterface { + void TearDown() override { StatsConfig::instance().SetGlobalTags({}); } +}; + +TEST_P(GaugeMetricTest, TestGaugeMetricValidCases) { + const auto &tc = GetParam(); + // Apply per-case global tags + StatsConfig::instance().SetGlobalTags(tc.global_tags); + + // Record the metric + STATS_metric_gauge_test.Record(tc.record_value, tc.record_tags); + LegacyMetricGaugeTest.Record(tc.record_value, tc.record_tags); + + // Verify observations + auto actual = GetObservableMetricValue(tc.metric_name, tc.expected_tags); + ASSERT_TRUE(actual.has_value()); + EXPECT_EQ(actual, tc.expected_value); + + // verify legacy metric observations + auto legacy_actual = + GetObservableMetricValue("legacy_" + tc.metric_name, tc.expected_tags); + ASSERT_TRUE(legacy_actual.has_value()); + EXPECT_EQ(legacy_actual, tc.expected_value); +} + +INSTANTIATE_TEST_SUITE_P( + GaugeMetric, + GaugeMetricTest, + ::testing::Values( + // Gauge metric without global tags + GaugeMetricCase{/*metric_name=*/"metric_gauge_test", + /*record_value=*/42.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value1"}, + {stats::TagKeyType::Register("Tag2"), "Value1"}}, + /*global_tags=*/{}, // no global tags + /*expected_tags=*/{{"Tag1", "Value1"}, {"Tag2", "Value1"}}, + /*expected_value=*/42.0}, + // Gauge metric with a single global tag that is metric-specific + GaugeMetricCase{/*metric_name=*/"metric_gauge_test", + /*record_value=*/52.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value2"}, + {stats::TagKeyType::Register("Tag2"), "Value2"}}, + /*global_tags=*/{{stats::TagKeyType::Register("Tag3"), "Global"}}, + /*expected_tags=*/ + {{"Tag1", "Value2"}, {"Tag2", "Value2"}, {"Tag3", "Global"}}, + /*expected_value=*/52.0}, + // Gauge metric with a non-metric-specific global tag + GaugeMetricCase{/*metric_name=*/"metric_gauge_test", + /*record_value=*/62.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value3"}, + {stats::TagKeyType::Register("Tag2"), "Value3"}}, + /*global_tags=*/ + { + {stats::TagKeyType::Register("Tag4"), + "Global"} // Tag4 not registered in metric definition + }, + /*expected_tags=*/ + {{"Tag1", "Value3"}, {"Tag2", "Value3"}, {"Tag4", "Global"}}, + /*expected_value=*/62.0}, + // Gauge metric where global tags overwrite record tags + GaugeMetricCase{/*metric_name=*/"metric_gauge_test", + /*record_value=*/72.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value4"}, + {stats::TagKeyType::Register("Tag2"), "Value4"}, + {stats::TagKeyType::Register("Tag3"), "local"}}, + /*global_tags=*/ + {{stats::TagKeyType::Register("Tag3"), "Global"}}, + /*expected_tags=*/ + {{"Tag1", "Value4"}, {"Tag2", "Value4"}, {"Tag3", "Global"}}, + /*expected_value=*/72.0}, + // Gauge metric recorded with an unsupported tag + GaugeMetricCase{/*metric_name=*/"metric_gauge_test", + /*record_value=*/82.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value5"}, + {stats::TagKeyType::Register("Tag2"), "Value5"}, + {stats::TagKeyType::Register("UnSupportedTag"), "Value"}}, + /*global_tags=*/{}, // no global tags + /*expected_tags=*/ + {{"Tag1", "Value5"}, // unsupported tag dropped + {"Tag2", "Value5"}}, + /*expected_value=*/82.0})); + } // namespace telemetry } // namespace ray From f0e709e82cc2cebed4c5844a0b6ec1b0e7fa1a22 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 29 Jul 2025 21:44:53 +0530 Subject: [PATCH 0376/1566] migrate usage and ray_constants to common (#54915) migrating the below files from `_private` to `_common` as part of https://github.com/ray-project/ray/issues/53478 - usage (migrating the whole folder as it only had the usage_lib and usage_constants) - three variables from ray_constants - LOGGING_ROTATE_BYTES - LOGGING_ROTATE_BACKUP_COUNT - DEFAULT_MAX_CONCURRENCY_ASYNC --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/_common/ray_constants.py | 5 ++++ python/ray/_common/test_utils.py | 2 +- python/ray/_common/tests/BUILD | 25 ++++++++++++++++++ .../{ => _common}/tests/test_usage_stats.py | 11 ++++---- .../{_private => _common}/usage/__init__.py | 0 .../usage/usage_constants.py | 0 .../{_private => _common}/usage/usage_lib.py | 26 ++++++++++++++----- python/ray/_private/node.py | 15 +++++------ python/ray/_private/ray_constants.py | 6 ----- python/ray/_private/resource_spec.py | 2 +- python/ray/_private/worker.py | 4 +-- python/ray/_private/workers/default_worker.py | 12 ++++++--- python/ray/actor.py | 5 ++-- python/ray/air/_internal/usage.py | 2 +- python/ray/air/tests/test_air_usage.py | 2 +- python/ray/autoscaler/_private/commands.py | 2 +- .../_private/kuberay/run_autoscaler.py | 8 ++++-- python/ray/autoscaler/_private/monitor.py | 13 ++++++---- python/ray/autoscaler/_private/updater.py | 2 +- python/ray/autoscaler/v2/monitor.py | 15 ++++++----- python/ray/autoscaler/v2/tests/test_e2e.py | 2 +- python/ray/dashboard/dashboard.py | 12 ++++++--- python/ray/dashboard/head.py | 2 +- python/ray/dashboard/http_server_head.py | 2 +- .../ray/dashboard/modules/event/event_head.py | 2 +- python/ray/dashboard/modules/job/job_agent.py | 2 +- .../modules/reporter/reporter_head.py | 2 +- .../modules/reporter/tests/test_reporter.py | 2 +- .../ray/dashboard/modules/serve/serve_head.py | 2 +- .../ray/dashboard/modules/state/state_head.py | 2 +- .../modules/usage_stats/usage_stats_head.py | 6 ++--- .../dashboard/subprocesses/tests/test_e2e.py | 8 ++++-- python/ray/dashboard/tests/test_dashboard.py | 10 ++++--- python/ray/data/_internal/logical/util.py | 2 +- python/ray/data/dataset.py | 2 +- python/ray/data/tests/test_telemetry.py | 2 +- .../observability/usage_telemetry/usage.py | 4 +-- .../observability/usage_telemetry/usage.py | 4 +-- .../usage_telemetry/test_usage.py | 2 +- .../usage_telemetry/test_usage.py | 2 +- python/ray/remote_function.py | 2 +- python/ray/scripts/scripts.py | 6 ++--- python/ray/serve/_private/api.py | 2 +- python/ray/serve/_private/deployment_state.py | 2 +- python/ray/serve/_private/logging_utils.py | 2 +- python/ray/serve/_private/usage.py | 2 +- python/ray/serve/tests/conftest.py | 2 +- python/ray/serve/tests/test_telemetry.py | 2 +- python/ray/serve/tests/test_telemetry_1.py | 2 +- .../serve/tests/unit/test_deployment_state.py | 2 +- python/ray/tests/BUILD | 2 +- python/ray/tests/test_state_api.py | 2 +- python/ray/train/base_trainer.py | 2 +- .../transformers/_transformers_utils.py | 2 +- .../ray/train/lightning/_lightning_utils.py | 2 +- python/ray/train/tests/test_telemetry.py | 2 +- python/ray/train/tests/test_train_usage.py | 2 +- python/ray/train/torch/train_loop_utils.py | 2 +- .../ray/train/v2/api/data_parallel_trainer.py | 2 +- .../ray/train/v2/lightning/lightning_utils.py | 2 +- python/ray/train/v2/tests/test_telemetry.py | 2 +- python/ray/train/v2/torch/train_loop_utils.py | 2 +- python/ray/tune/tests/test_telemetry.py | 2 +- python/ray/tune/tune.py | 2 +- python/ray/util/actor_group.py | 2 +- python/ray/util/actor_pool.py | 2 +- python/ray/util/joblib/ray_backend.py | 2 +- python/ray/util/multiprocessing/pool.py | 2 +- python/ray/util/queue.py | 2 +- python/ray/util/state/util.py | 2 +- rllib/__init__.py | 2 +- rllib/algorithms/algorithm.py | 2 +- rllib/tests/test_telemetry.py | 2 +- 73 files changed, 180 insertions(+), 119 deletions(-) create mode 100644 python/ray/_common/ray_constants.py rename python/ray/{ => _common}/tests/test_usage_stats.py (99%) rename python/ray/{_private => _common}/usage/__init__.py (100%) rename python/ray/{_private => _common}/usage/usage_constants.py (100%) rename python/ray/{_private => _common}/usage/usage_lib.py (98%) diff --git a/python/ray/_common/ray_constants.py b/python/ray/_common/ray_constants.py new file mode 100644 index 000000000000..0c8c65269bb4 --- /dev/null +++ b/python/ray/_common/ray_constants.py @@ -0,0 +1,5 @@ +# Default max_concurrency option in @ray.remote for async actors. +DEFAULT_MAX_CONCURRENCY_ASYNC = 1000 + +LOGGING_ROTATE_BYTES = 512 * 1024 * 1024 # 512MB. +LOGGING_ROTATE_BACKUP_COUNT = 5 # 5 Backup files at max. diff --git a/python/ray/_common/test_utils.py b/python/ray/_common/test_utils.py index 65a8cb356816..f9106c530afc 100644 --- a/python/ray/_common/test_utils.py +++ b/python/ray/_common/test_utils.py @@ -19,7 +19,7 @@ import ray import ray._private.utils -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib @ray.remote(num_cpus=0) diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD index d3c738fc244a..0821ffcf2535 100644 --- a/python/ray/_common/tests/BUILD +++ b/python/ray/_common/tests/BUILD @@ -1,5 +1,15 @@ +load("@rules_python//python:defs.bzl", "py_library") load("//bazel:python.bzl", "py_test_module_list") +py_library( + name = "conftest", + srcs = glob(["**/conftest.py"]), + visibility = [ + "//python/ray/_common/tests:__subpackages__", + ], + deps = ["//python/ray/tests:conftest"], +) + # Small tests. py_test_module_list( size = "small", @@ -18,3 +28,18 @@ py_test_module_list( "//:ray_lib", ], ) + +py_test_module_list( + size = "large", + files = [ + "test_usage_stats.py", + ], + tags = [ + "exclusive", + "team:core", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) diff --git a/python/ray/tests/test_usage_stats.py b/python/ray/_common/tests/test_usage_stats.py similarity index 99% rename from python/ray/tests/test_usage_stats.py rename to python/ray/_common/tests/test_usage_stats.py index 1df4fe46a994..d143a76c6d44 100644 --- a/python/ray/tests/test_usage_stats.py +++ b/python/ray/_common/tests/test_usage_stats.py @@ -9,6 +9,7 @@ from unittest.mock import Mock, patch from ray._common.test_utils import wait_for_condition from ray._raylet import GcsClient +from ray.tests.conftest import * # noqa: F403 import requests import pytest @@ -16,14 +17,14 @@ from http.server import BaseHTTPRequestHandler, HTTPServer import ray -import ray._private.usage.usage_constants as usage_constants -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_constants as usage_constants +import ray._common.usage.usage_lib as ray_usage_lib from ray._private.test_utils import ( format_web_url, run_string_as_driver, wait_until_server_available, ) -from ray._private.usage.usage_lib import ClusterConfigToReport, UsageStatsEnabledness +from ray._common.usage.usage_lib import ClusterConfigToReport, UsageStatsEnabledness from ray.autoscaler._private.cli_logger import cli_logger from ray.util.placement_group import ( placement_group, @@ -202,7 +203,7 @@ def test_get_extra_usage_tags_to_report( m.setenv("RAY_USAGE_STATS_EXTRA_TAGS", "key=val") driver = """ import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib ray_usage_lib.record_extra_usage_tag(ray_usage_lib.TagKey._TEST1, "val1") ray.init(address="{}") @@ -782,7 +783,7 @@ def test_library_usages(call_ray_start, reset_usage_stats, ray_client): driver = """ import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib ray_usage_lib.record_library_usage("pre_init") ray.init(address="{}") diff --git a/python/ray/_private/usage/__init__.py b/python/ray/_common/usage/__init__.py similarity index 100% rename from python/ray/_private/usage/__init__.py rename to python/ray/_common/usage/__init__.py diff --git a/python/ray/_private/usage/usage_constants.py b/python/ray/_common/usage/usage_constants.py similarity index 100% rename from python/ray/_private/usage/usage_constants.py rename to python/ray/_common/usage/usage_constants.py diff --git a/python/ray/_private/usage/usage_lib.py b/python/ray/_common/usage/usage_lib.py similarity index 98% rename from python/ray/_private/usage/usage_lib.py rename to python/ray/_common/usage/usage_lib.py index f548e5693417..d9d03ad85c95 100644 --- a/python/ray/_private/usage/usage_lib.py +++ b/python/ray/_common/usage/usage_lib.py @@ -58,7 +58,7 @@ import ray import ray._private.ray_constants as ray_constants -import ray._private.usage.usage_constants as usage_constant +import ray._common.usage.usage_constants as usage_constant from ray._raylet import GcsClient from ray.core.generated import gcs_pb2, usage_pb2 from ray.experimental.internal_kv import ( @@ -233,6 +233,9 @@ def record_extra_usage_tag( value: The value of the tag. gcs_client: The GCS client to perform KV operation PUT. Defaults to None. When None, it will try to get the global client from the internal_kv. + + Returns: + None """ key = TagKey.Name(key).lower() with _recorded_extra_usage_tags_lock: @@ -400,6 +403,9 @@ def _generate_cluster_metadata(*, ray_init_cluster: bool): Params: ray_init_cluster: Whether the cluster is started by ray.init() + + Returns: + A dictionary of cluster metadata. """ ray_version, python_version = ray._private.utils.compute_version_info() # These two metadata is necessary although usage report is not enabled @@ -512,7 +518,7 @@ def set_usage_stats_enabled_via_env_var(enabled) -> None: os.environ[usage_constant.USAGE_STATS_ENABLED_ENV_VAR] = "1" if enabled else "0" -def put_cluster_metadata(gcs_client, *, ray_init_cluster) -> None: +def put_cluster_metadata(gcs_client: GcsClient, *, ray_init_cluster: bool) -> dict: """Generate the cluster metadata and store it to GCS. It is a blocking API. @@ -523,6 +529,9 @@ def put_cluster_metadata(gcs_client, *, ray_init_cluster) -> None: Raises: gRPC exceptions: If PUT fails. + + Returns: + The cluster metadata. """ metadata = _generate_cluster_metadata(ray_init_cluster=ray_init_cluster) gcs_client.internal_kv_put( @@ -574,12 +583,15 @@ def get_hardware_usages_to_report(gcs_client) -> List[str]: return list(_get_usage_set(gcs_client, usage_constant.HARDWARE_USAGE_SET_NAME)) -def get_extra_usage_tags_to_report(gcs_client) -> Dict[str, str]: +def get_extra_usage_tags_to_report(gcs_client: GcsClient) -> Dict[str, str]: """Get the extra usage tags from env var and gcs kv store. The env var should be given this way; key=value;key=value. If parsing is failed, it will return the empty data. + Params: + gcs_client: The GCS client. + Returns: Extra usage tags as kv pairs. """ @@ -614,7 +626,7 @@ def get_extra_usage_tags_to_report(gcs_client) -> Dict[str, str]: return extra_usage_tags -def _get_cluster_status_to_report_v2(gcs_client) -> ClusterStatusToReport: +def _get_cluster_status_to_report_v2(gcs_client: GcsClient) -> ClusterStatusToReport: """ Get the current status of this cluster. A temporary proxy for the autoscaler v2 API. @@ -648,7 +660,7 @@ def _get_cluster_status_to_report_v2(gcs_client) -> ClusterStatusToReport: return result -def get_cluster_status_to_report(gcs_client) -> ClusterStatusToReport: +def get_cluster_status_to_report(gcs_client: GcsClient) -> ClusterStatusToReport: """Get the current status of this cluster. It is a blocking API. @@ -826,7 +838,7 @@ def get_instance_type(node_config): return ClusterConfigToReport() -def get_cluster_metadata(gcs_client) -> dict: +def get_cluster_metadata(gcs_client: GcsClient) -> dict: """Get the cluster metadata from GCS. It is a blocking API. @@ -837,7 +849,7 @@ def get_cluster_metadata(gcs_client) -> dict: gcs_client: The GCS client to perform KV operation GET. Returns: - The cluster metadata in a dictinoary. + The cluster metadata in a dictionary. Raises: RuntimeError: If it fails to obtain cluster metadata from GCS. diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index f3f1207fc047..00b6599dfc56 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -22,6 +22,7 @@ import ray import ray._private.ray_constants as ray_constants import ray._private.services +from ray._common.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES from ray._common.utils import try_to_create_directory from ray._private.resource_isolation_config import ResourceIsolationConfig from ray._private.resource_spec import ResourceSpec @@ -144,13 +145,9 @@ def __init__( self._dashboard_agent_listen_port = ray_params.dashboard_agent_listen_port # Configure log rotation parameters. - self.max_bytes = int( - os.getenv("RAY_ROTATION_MAX_BYTES", ray_constants.LOGGING_ROTATE_BYTES) - ) + self.max_bytes = int(os.getenv("RAY_ROTATION_MAX_BYTES", LOGGING_ROTATE_BYTES)) self.backup_count = int( - os.getenv( - "RAY_ROTATION_BACKUP_COUNT", ray_constants.LOGGING_ROTATE_BACKUP_COUNT - ) + os.getenv("RAY_ROTATION_BACKUP_COUNT", LOGGING_ROTATE_BACKUP_COUNT) ) assert self.max_bytes >= 0 @@ -431,7 +428,7 @@ def check_version_info(self): Raises: Exception: An exception is raised if there is a version mismatch. """ - import ray._private.usage.usage_lib as ray_usage_lib + import ray._common.usage.usage_lib as ray_usage_lib cluster_metadata = ray_usage_lib.get_cluster_metadata(self.get_gcs_client()) if cluster_metadata is None: @@ -1379,7 +1376,7 @@ def _write_cluster_info_to_kv(self): Check `usage_stats_head.py` for more details. """ # Make sure the cluster metadata wasn't reported before. - import ray._private.usage.usage_lib as ray_usage_lib + import ray._common.usage.usage_lib as ray_usage_lib ray_usage_lib.put_cluster_metadata( self.get_gcs_client(), ray_init_cluster=self.ray_init_cluster @@ -1895,7 +1892,7 @@ def _get_object_spilling_config(self): def _record_stats(self): # This is only called when a new node is started. # Initialize the internal kv so that the metrics can be put - from ray._private.usage.usage_lib import ( + from ray._common.usage.usage_lib import ( TagKey, record_extra_usage_tag, record_hardware_usage, diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index 0bf4f4952ce6..898ce8f2f35a 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -246,9 +246,6 @@ def env_set_by_user(key): " 'warning', 'error', 'critical'], default='info'" ) -LOGGING_ROTATE_BYTES = 512 * 1024 * 1024 # 512MB. -LOGGING_ROTATE_BACKUP_COUNT = 5 # 5 Backup files at max. - LOGGING_REDIRECT_STDERR_ENVIRONMENT_VARIABLE = "RAY_LOG_TO_STDERR" # Logging format when logging stderr. This should be formatted with the # component before setting the formatter, e.g. via @@ -456,9 +453,6 @@ def env_set_by_user(key): # Default max_concurrency option in @ray.remote for threaded actors. DEFAULT_MAX_CONCURRENCY_THREADED = 1 -# Default max_concurrency option in @ray.remote for async actors. -DEFAULT_MAX_CONCURRENCY_ASYNC = 1000 - # Prefix for namespaces which are used internally by ray. # Jobs within these namespaces should be hidden from users # and should not be considered user activity. diff --git a/python/ray/_private/resource_spec.py b/python/ray/_private/resource_spec.py index 4ed6f65d56e7..1f2ffbe0497e 100644 --- a/python/ray/_private/resource_spec.py +++ b/python/ray/_private/resource_spec.py @@ -204,7 +204,7 @@ def resolve(self, is_head: bool, node_ip_address: Optional[str] = None): if accelerator_type: resources[f"{RESOURCE_CONSTRAINT_PREFIX}{accelerator_type}"] = 1 - from ray._private.usage import usage_lib + from ray._common.usage import usage_lib usage_lib.record_hardware_usage(accelerator_type) additional_resources = ( diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index dbc6cbaba82f..1d97f8b02f07 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1619,7 +1619,7 @@ def sigterm_handler(signum, frame): passed_kwargs.update(kwargs) builder._init_args(**passed_kwargs) ctx = builder.connect() - from ray._private.usage import usage_lib + from ray._common.usage import usage_lib if passed_kwargs.get("allow_multiple") is True: with ctx: @@ -1771,7 +1771,7 @@ def sigterm_handler(signum, frame): # In this case, we need to start a new cluster. # Don't collect usage stats in ray.init() unless it's a nightly wheel. - from ray._private.usage import usage_lib + from ray._common.usage import usage_lib if usage_lib.is_nightly_wheel(): usage_lib.show_usage_stats_prompt(cli=False) diff --git a/python/ray/_private/workers/default_worker.py b/python/ray/_private/workers/default_worker.py index 11c4c02e0d25..03ea6e456e24 100644 --- a/python/ray/_private/workers/default_worker.py +++ b/python/ray/_private/workers/default_worker.py @@ -10,6 +10,10 @@ import ray._private.ray_constants as ray_constants import ray._private.utils import ray.actor +from ray._common.ray_constants import ( + LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, +) from ray._private.async_compat import try_install_uvloop from ray._private.parameter import RayParams from ray._private.ray_logging import get_worker_log_file_name @@ -129,18 +133,18 @@ "--logging-rotate-bytes", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BYTES, + default=LOGGING_ROTATE_BYTES, help="Specify the max bytes for rotating " "log file, default is " - f"{ray_constants.LOGGING_ROTATE_BYTES} bytes.", + f"{LOGGING_ROTATE_BYTES} bytes.", ) parser.add_argument( "--logging-rotate-backup-count", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + default=LOGGING_ROTATE_BACKUP_COUNT, help="Specify the backup count of rotated log file, default is " - f"{ray_constants.LOGGING_ROTATE_BACKUP_COUNT}.", + f"{LOGGING_ROTATE_BACKUP_COUNT}.", ) parser.add_argument( "--runtime-env-hash", diff --git a/python/ray/actor.py b/python/ray/actor.py index aa5ea5e245a8..94a7d6a992bb 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -23,6 +23,7 @@ from typing_extensions import Concatenate import ray._private.ray_constants as ray_constants +from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC import ray._common.signature as signature import ray._raylet from ray import ActorClassID, Language, cross_language, ObjectRef @@ -1500,7 +1501,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: if actor_options.get("max_concurrency") is None: actor_options["max_concurrency"] = ( - ray_constants.DEFAULT_MAX_CONCURRENCY_ASYNC + DEFAULT_MAX_CONCURRENCY_ASYNC if is_asyncio else ray_constants.DEFAULT_MAX_CONCURRENCY_THREADED ) @@ -1541,7 +1542,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: worker.check_connected() if worker.mode != ray._private.worker.WORKER_MODE: - from ray._private.usage import usage_lib + from ray._common.usage import usage_lib usage_lib.record_library_usage("core") diff --git a/python/ray/air/_internal/usage.py b/python/ray/air/_internal/usage.py index 93e145a9554c..9e921d40f803 100644 --- a/python/ray/air/_internal/usage.py +++ b/python/ray/air/_internal/usage.py @@ -4,7 +4,7 @@ from enum import Enum from typing import TYPE_CHECKING, Dict, List, Optional, Set, Union -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag if TYPE_CHECKING: from ray.train._internal.storage import StorageContext diff --git a/python/ray/air/tests/test_air_usage.py b/python/ray/air/tests/test_air_usage.py index a2e14f3607c2..6a1d65b96ac3 100644 --- a/python/ray/air/tests/test_air_usage.py +++ b/python/ray/air/tests/test_air_usage.py @@ -11,7 +11,7 @@ import ray from ray import train, tune -from ray._private.usage.usage_lib import TagKey +from ray._common.usage.usage_lib import TagKey from ray.air._internal import usage as air_usage from ray.air._internal.usage import AirEntrypoint from ray.air.integrations import comet, mlflow, wandb diff --git a/python/ray/autoscaler/_private/commands.py b/python/ray/autoscaler/_private/commands.py index faed42317b7f..52f87f2e31a0 100644 --- a/python/ray/autoscaler/_private/commands.py +++ b/python/ray/autoscaler/_private/commands.py @@ -18,7 +18,7 @@ import yaml import ray -from ray._private.usage import usage_lib +from ray._common.usage import usage_lib from ray.autoscaler._private import subprocess_output_util as cmd_output_util from ray.autoscaler._private.autoscaler import AutoscalerSummary from ray.autoscaler._private.cli_logger import cf, cli_logger diff --git a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py index 68e38a221b5f..cf380bb475ca 100644 --- a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py +++ b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py @@ -5,6 +5,10 @@ import ray from ray._private import ray_constants +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) from ray._private.ray_logging import setup_component_logger from ray._private.services import get_node_ip_address from ray._common.utils import try_to_create_directory @@ -102,8 +106,8 @@ def _setup_logging() -> None: logging_format=ray_constants.LOGGER_FORMAT, log_dir=log_dir, filename=ray_constants.MONITOR_LOG_FILE_NAME, # monitor.log - max_bytes=ray_constants.LOGGING_ROTATE_BYTES, - backup_count=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + max_bytes=LOGGING_ROTATE_BYTES, + backup_count=LOGGING_ROTATE_BACKUP_COUNT, ) # For the autoscaler, the root logger _also_ needs to write to stderr, not just diff --git a/python/ray/autoscaler/_private/monitor.py b/python/ray/autoscaler/_private/monitor.py index 3f8d12596f84..cbc5eaee5646 100644 --- a/python/ray/autoscaler/_private/monitor.py +++ b/python/ray/autoscaler/_private/monitor.py @@ -14,7 +14,10 @@ import ray import ray._private.ray_constants as ray_constants -import ray._private.utils +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) from ray._private.event.event_logger import get_event_logger from ray._private.ray_logging import setup_component_logger from ray._raylet import GcsClient @@ -660,18 +663,18 @@ def log_resource_batch_data_if_desired( "--logging-rotate-bytes", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BYTES, + default=LOGGING_ROTATE_BYTES, help="Specify the max bytes for rotating " "log file, default is " - f"{ray_constants.LOGGING_ROTATE_BYTES} bytes.", + f"{LOGGING_ROTATE_BYTES} bytes.", ) parser.add_argument( "--logging-rotate-backup-count", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + default=LOGGING_ROTATE_BACKUP_COUNT, help="Specify the backup count of rotated log file, default is " - f"{ray_constants.LOGGING_ROTATE_BACKUP_COUNT}.", + f"{LOGGING_ROTATE_BACKUP_COUNT}.", ) parser.add_argument( "--monitor-ip", diff --git a/python/ray/autoscaler/_private/updater.py b/python/ray/autoscaler/_private/updater.py index 3843a14aa633..68aec7d68475 100644 --- a/python/ray/autoscaler/_private/updater.py +++ b/python/ray/autoscaler/_private/updater.py @@ -7,7 +7,7 @@ import click -from ray._private.usage import usage_constants, usage_lib +from ray._common.usage import usage_constants, usage_lib from ray.autoscaler._private import subprocess_output_util as cmd_output_util from ray.autoscaler._private.cli_logger import cf, cli_logger from ray.autoscaler._private.command_runner import ( diff --git a/python/ray/autoscaler/v2/monitor.py b/python/ray/autoscaler/v2/monitor.py index ee9e938a769c..139f544afb73 100644 --- a/python/ray/autoscaler/v2/monitor.py +++ b/python/ray/autoscaler/v2/monitor.py @@ -13,10 +13,13 @@ import ray import ray._private.ray_constants as ray_constants -import ray._private.utils +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) from ray._private.event.event_logger import get_event_logger from ray._private.ray_logging import setup_component_logger -from ray._private.usage.usage_lib import record_extra_usage_tag +from ray._common.usage.usage_lib import record_extra_usage_tag from ray._private.worker import SCRIPT_MODE from ray._raylet import GcsClient from ray.autoscaler._private.constants import ( @@ -242,18 +245,18 @@ def record_autoscaler_v2_usage(gcs_client: GcsClient) -> None: "--logging-rotate-bytes", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BYTES, + default=LOGGING_ROTATE_BYTES, help="Specify the max bytes for rotating " "log file, default is " - f"{ray_constants.LOGGING_ROTATE_BYTES} bytes.", + f"{LOGGING_ROTATE_BYTES} bytes.", ) parser.add_argument( "--logging-rotate-backup-count", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + default=LOGGING_ROTATE_BACKUP_COUNT, help="Specify the backup count of rotated log file, default is " - f"{ray_constants.LOGGING_ROTATE_BACKUP_COUNT}.", + f"{LOGGING_ROTATE_BACKUP_COUNT}.", ) parser.add_argument( "--monitor-ip", diff --git a/python/ray/autoscaler/v2/tests/test_e2e.py b/python/ray/autoscaler/v2/tests/test_e2e.py index a9efa0483765..870be60a3754 100644 --- a/python/ray/autoscaler/v2/tests/test_e2e.py +++ b/python/ray/autoscaler/v2/tests/test_e2e.py @@ -10,7 +10,7 @@ from ray._common.test_utils import wait_for_condition from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._private.test_utils import run_string_as_driver_nonblocking -from ray._private.usage.usage_lib import get_extra_usage_tags_to_report +from ray._common.usage.usage_lib import get_extra_usage_tags_to_report from ray._raylet import GcsClient from ray.autoscaler.v2.sdk import get_cluster_status from ray.cluster_utils import AutoscalingCluster diff --git a/python/ray/dashboard/dashboard.py b/python/ray/dashboard/dashboard.py index f1a019947c31..921a6069c88e 100644 --- a/python/ray/dashboard/dashboard.py +++ b/python/ray/dashboard/dashboard.py @@ -9,6 +9,10 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) import ray.dashboard.consts as dashboard_consts import ray.dashboard.head as dashboard_head import ray.dashboard.utils as dashboard_utils @@ -150,17 +154,17 @@ async def run(self): "--logging-rotate-bytes", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BYTES, + default=LOGGING_ROTATE_BYTES, help="Specify the max bytes for rotating " - "log file, default is {} bytes.".format(ray_constants.LOGGING_ROTATE_BYTES), + "log file, default is {} bytes.".format(LOGGING_ROTATE_BYTES), ) parser.add_argument( "--logging-rotate-backup-count", required=False, type=int, - default=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + default=LOGGING_ROTATE_BACKUP_COUNT, help="Specify the backup count of rotated log file, default is {}.".format( - ray_constants.LOGGING_ROTATE_BACKUP_COUNT + LOGGING_ROTATE_BACKUP_COUNT ), ) parser.add_argument( diff --git a/python/ray/dashboard/head.py b/python/ray/dashboard/head.py index 648428a4e215..e9cbfc593837 100644 --- a/python/ray/dashboard/head.py +++ b/python/ray/dashboard/head.py @@ -12,7 +12,7 @@ from ray._private import ray_constants from ray._private.async_utils import enable_monitor_loop_lag from ray._private.ray_constants import env_integer -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray._raylet import GcsClient from ray.dashboard.consts import ( AVAILABLE_COMPONENT_NAMES_FOR_METRICS, diff --git a/python/ray/dashboard/http_server_head.py b/python/ray/dashboard/http_server_head.py index 933f55b5627b..1a986b3bf5fa 100644 --- a/python/ray/dashboard/http_server_head.py +++ b/python/ray/dashboard/http_server_head.py @@ -18,7 +18,7 @@ import ray.dashboard.utils as dashboard_utils from ray import ray_constants from ray._common.utils import get_or_create_event_loop -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.dashboard.dashboard_metrics import DashboardPrometheusMetrics from ray.dashboard.head import DashboardHeadModule diff --git a/python/ray/dashboard/modules/event/event_head.py b/python/ray/dashboard/modules/event/event_head.py index a4fa866a36e4..0a8a9712992e 100644 --- a/python/ray/dashboard/modules/event/event_head.py +++ b/python/ray/dashboard/modules/event/event_head.py @@ -15,7 +15,7 @@ import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import env_integer -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.dashboard.consts import ( RAY_STATE_SERVER_MAX_HTTP_REQUEST, RAY_STATE_SERVER_MAX_HTTP_REQUEST_ALLOWED, diff --git a/python/ray/dashboard/modules/job/job_agent.py b/python/ray/dashboard/modules/job/job_agent.py index 2c0cefd83f22..4fc279037363 100644 --- a/python/ray/dashboard/modules/job/job_agent.py +++ b/python/ray/dashboard/modules/job/job_agent.py @@ -42,7 +42,7 @@ async def submit_job(self, req: Request) -> Response: request_submission_id = submit_request.submission_id or submit_request.job_id try: - ray._private.usage.usage_lib.record_library_usage("job_submission") + ray._common.usage.usage_lib.record_library_usage("job_submission") submission_id = await self.get_job_manager().submit_job( entrypoint=submit_request.entrypoint, submission_id=request_submission_id, diff --git a/python/ray/dashboard/modules/reporter/reporter_head.py b/python/ray/dashboard/modules/reporter/reporter_head.py index 9ddacf0f9be7..dff63a642bff 100644 --- a/python/ray/dashboard/modules/reporter/reporter_head.py +++ b/python/ray/dashboard/modules/reporter/reporter_head.py @@ -22,7 +22,7 @@ KV_NAMESPACE_DASHBOARD, env_integer, ) -from ray._private.usage.usage_constants import CLUSTER_METADATA_KEY +from ray._common.usage.usage_constants import CLUSTER_METADATA_KEY from ray._private.utils import init_grpc_channel from ray.autoscaler._private.commands import debug_status from ray.core.generated import reporter_pb2, reporter_pb2_grpc diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 0f1b9fc755f2..8dcfddfcd978 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -14,7 +14,7 @@ from google.protobuf import text_format import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray._private import ray_constants from ray._private.metrics_agent import fix_grpc_metric from ray._private.test_utils import ( diff --git a/python/ray/dashboard/modules/serve/serve_head.py b/python/ray/dashboard/modules/serve/serve_head.py index cbb7b364ebe6..151a19908002 100644 --- a/python/ray/dashboard/modules/serve/serve_head.py +++ b/python/ray/dashboard/modules/serve/serve_head.py @@ -122,7 +122,7 @@ async def delete_serve_applications(self, req: Request) -> Response: @dashboard_optional_utils.init_ray_and_catch_exceptions() @validate_endpoint() async def put_all_applications(self, req: Request) -> Response: - from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag + from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.serve._private.api import serve_start_async from ray.serve.config import ProxyLocation from ray.serve.schema import ServeDeploySchema diff --git a/python/ray/dashboard/modules/state/state_head.py b/python/ray/dashboard/modules/state/state_head.py index cd8aeb08fc38..7ef52b3a7cdf 100644 --- a/python/ray/dashboard/modules/state/state_head.py +++ b/python/ray/dashboard/modules/state/state_head.py @@ -11,7 +11,7 @@ import ray from ray import ActorID from ray._private.ray_constants import env_integer -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.core.generated.gcs_pb2 import ActorTableData from ray.dashboard.consts import ( RAY_STATE_SERVER_MAX_HTTP_REQUEST, diff --git a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py index 54c218cd7c0a..f4974fdff122 100644 --- a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py +++ b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py @@ -7,7 +7,7 @@ import requests import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray.dashboard.utils import async_loop_forever @@ -60,7 +60,7 @@ async def get_cluster_id(self, req) -> aiohttp.web.Response: ) def _check_grafana_running(self): - from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag + from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag if self._grafana_ran_before: return @@ -86,7 +86,7 @@ def _check_grafana_running(self): self._grafana_ran_before = True def _check_prometheus_running(self): - from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag + from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag if self._prometheus_ran_before: return diff --git a/python/ray/dashboard/subprocesses/tests/test_e2e.py b/python/ray/dashboard/subprocesses/tests/test_e2e.py index ab4249dd70a4..05d3cd0a39cb 100644 --- a/python/ray/dashboard/subprocesses/tests/test_e2e.py +++ b/python/ray/dashboard/subprocesses/tests/test_e2e.py @@ -8,6 +8,10 @@ from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) import ray.dashboard.consts as dashboard_consts from ray._common.test_utils import async_wait_for_condition from ray.dashboard.optional_deps import aiohttp @@ -34,8 +38,8 @@ def default_module_config(tmp_path) -> SubprocessModuleConfig: logging_format=ray_constants.LOGGER_FORMAT, log_dir=str(tmp_path), logging_filename=dashboard_consts.DASHBOARD_LOG_FILENAME, - logging_rotate_bytes=ray_constants.LOGGING_ROTATE_BYTES, - logging_rotate_backup_count=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + logging_rotate_bytes=LOGGING_ROTATE_BYTES, + logging_rotate_backup_count=LOGGING_ROTATE_BACKUP_COUNT, socket_dir=str(tmp_path), ) diff --git a/python/ray/dashboard/tests/test_dashboard.py b/python/ray/dashboard/tests/test_dashboard.py index 46cfb7abd941..a9f9132daccf 100644 --- a/python/ray/dashboard/tests/test_dashboard.py +++ b/python/ray/dashboard/tests/test_dashboard.py @@ -25,7 +25,11 @@ import ray.dashboard.utils as dashboard_utils import ray.scripts.scripts as scripts from ray._common.utils import get_or_create_event_loop -from ray._private import ray_constants +import ray._private.ray_constants as ray_constants +from ray._common.ray_constants import ( + LOGGING_ROTATE_BYTES, + LOGGING_ROTATE_BACKUP_COUNT, +) from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS_LEGACY, @@ -1134,8 +1138,8 @@ async def test_dashboard_module_load(tmpdir): logging_level=ray_constants.LOGGER_LEVEL, logging_format=ray_constants.LOGGER_FORMAT, logging_filename=dashboard_consts.DASHBOARD_LOG_FILENAME, - logging_rotate_bytes=ray_constants.LOGGING_ROTATE_BYTES, - logging_rotate_backup_count=ray_constants.LOGGING_ROTATE_BACKUP_COUNT, + logging_rotate_bytes=LOGGING_ROTATE_BYTES, + logging_rotate_backup_count=LOGGING_ROTATE_BACKUP_COUNT, temp_dir=str(tmpdir), session_dir=str(tmpdir), minimal=False, diff --git a/python/ray/data/_internal/logical/util.py b/python/ray/data/_internal/logical/util.py index af6f2420a269..94c6928bbdfd 100644 --- a/python/ray/data/_internal/logical/util.py +++ b/python/ray/data/_internal/logical/util.py @@ -3,7 +3,7 @@ import threading from typing import Dict -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.logical.operators.map_operator import AbstractUDFMap from ray.data._internal.logical.operators.read_operator import Read diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 146ec1000cbd..838de0266267 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -26,8 +26,8 @@ import ray import ray.cloudpickle as pickle +from ray._common.usage import usage_lib from ray._private.thirdparty.tabulate.tabulate import tabulate -from ray._private.usage import usage_lib from ray.air.util.tensor_extensions.arrow import ( ArrowTensorTypeV2, get_arrow_extension_fixed_shape_tensor_types, diff --git a/python/ray/data/tests/test_telemetry.py b/python/ray/data/tests/test_telemetry.py index 8599589d7d4c..cb314714aad1 100644 --- a/python/ray/data/tests/test_telemetry.py +++ b/python/ray/data/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray import data from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry diff --git a/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py index 3c0eb4d78929..32d72a87a357 100644 --- a/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/batch/observability/usage_telemetry/usage.py @@ -2,7 +2,7 @@ from typing import Callable, Dict, List, Tuple, Union import ray -from ray._private.usage.usage_lib import record_extra_usage_tag +from ray._common.usage.usage_lib import record_extra_usage_tag from ray.llm._internal.batch.observability.logging import get_logger from ray.llm._internal.common.base_pydantic import BaseModelExtended @@ -89,7 +89,7 @@ def generate_report(self) -> Dict[str, str]: def record(self, telemetry: BatchModelTelemetry) -> None: """Append and record telemetries.""" - from ray._private.usage.usage_lib import TagKey + from ray._common.usage.usage_lib import TagKey self._tracking_telemetries.append(telemetry) telemetry_dict = self.generate_report() diff --git a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py index 6347388476ec..061e34460d66 100644 --- a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py @@ -3,7 +3,7 @@ import ray from ray import serve -from ray._private.usage.usage_lib import ( +from ray._common.usage.usage_lib import ( get_hardware_usages_to_report, record_extra_usage_tag, ) @@ -170,7 +170,7 @@ def generate_report(self) -> Dict[str, str]: def record(self, model: Optional[TelemetryModel] = None) -> None: """Record telemetry model.""" - from ray._private.usage.usage_lib import TagKey + from ray._common.usage.usage_lib import TagKey if model: self.models.append(model) diff --git a/python/ray/llm/tests/batch/observability/usage_telemetry/test_usage.py b/python/ray/llm/tests/batch/observability/usage_telemetry/test_usage.py index acead201ed37..548230bc66b6 100644 --- a/python/ray/llm/tests/batch/observability/usage_telemetry/test_usage.py +++ b/python/ray/llm/tests/batch/observability/usage_telemetry/test_usage.py @@ -3,7 +3,7 @@ import pytest import ray -from ray._private.usage.usage_lib import TagKey +from ray._common.usage.usage_lib import TagKey from ray.llm._internal.batch.observability.usage_telemetry.usage import ( get_or_create_telemetry_agent, ) diff --git a/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py b/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py index 849b38735d01..3b561d8c8312 100644 --- a/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py +++ b/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py @@ -3,7 +3,7 @@ import pytest import ray -from ray._private.usage.usage_lib import TagKey +from ray._common.usage.usage_lib import TagKey from ray.llm._internal.serve.configs.server_models import ( LLMConfig, LLMEngine, diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index 37727ab361e5..ac661dde1a23 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -332,7 +332,7 @@ def _remote( # Only need to record on the driver side # since workers are created via tasks or actors # launched from the driver. - from ray._private.usage import usage_lib + from ray._common.usage import usage_lib usage_lib.record_library_usage("core") diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index c3fb6be37cde..883ab85f03c7 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -36,8 +36,8 @@ parse_resources_json, ) from ray._private.internal_api import memory_summary -from ray._private.usage import usage_lib -import ray._private.usage.usage_constants as usage_constant +from ray._common.usage import usage_lib +import ray._common.usage.usage_constants as usage_constant from ray.autoscaler._private.cli_logger import add_click_logging_options, cf, cli_logger from ray.autoscaler._private.commands import ( RUN_ENV_TYPES, @@ -65,7 +65,7 @@ def _check_ray_version(gcs_client): - import ray._private.usage.usage_lib as ray_usage_lib + import ray._common.usage.usage_lib as ray_usage_lib cluster_metadata = ray_usage_lib.get_cluster_metadata(gcs_client) if cluster_metadata and cluster_metadata["ray_version"] != ray.__version__: diff --git a/python/ray/serve/_private/api.py b/python/ray/serve/_private/api.py index dbc1a79995f2..60b097d4c001 100644 --- a/python/ray/serve/_private/api.py +++ b/python/ray/serve/_private/api.py @@ -5,7 +5,7 @@ import ray from ray._common.pydantic_compat import is_subclass_of_base_model -from ray._private.usage import usage_lib +from ray._common.usage import usage_lib from ray.actor import ActorHandle from ray.serve._private.client import ServeControllerClient from ray.serve._private.constants import ( diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index e4cb70117a48..3f5cd5f2717d 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -13,7 +13,7 @@ import ray from ray import ObjectRef, cloudpickle -from ray._private import ray_constants +from ray._common import ray_constants from ray.actor import ActorHandle from ray.exceptions import RayActorError, RayError, RayTaskError, RuntimeEnvSetupError from ray.serve import metrics diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 5f0b22b67628..85932d909f6f 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -6,7 +6,7 @@ from typing import Any, Optional import ray -from ray._private.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES +from ray._common.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES from ray._private.ray_logging.filters import CoreContextFilter from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray.serve._private.common import ServeComponentType diff --git a/python/ray/serve/_private/usage.py b/python/ray/serve/_private/usage.py index b0b53f628c2c..39db128c5abe 100644 --- a/python/ray/serve/_private/usage.py +++ b/python/ray/serve/_private/usage.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Dict, Optional -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag class ServeUsageTag(Enum): diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 683a7589597f..5912ff8a95b9 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -11,8 +11,8 @@ import ray from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition +from ray._common.usage import usage_lib from ray._common.utils import reset_ray_address -from ray._private.usage import usage_lib from ray.cluster_utils import AutoscalingCluster, Cluster from ray.serve._private.test_utils import ( TELEMETRY_ROUTE_PREFIX, diff --git a/python/ray/serve/tests/test_telemetry.py b/python/ray/serve/tests/test_telemetry.py index d23008be2dd0..9a39a014f406 100644 --- a/python/ray/serve/tests/test_telemetry.py +++ b/python/ray/serve/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray import serve from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry diff --git a/python/ray/serve/tests/test_telemetry_1.py b/python/ray/serve/tests/test_telemetry_1.py index a0b1a67584ab..6524e9679c9d 100644 --- a/python/ray/serve/tests/test_telemetry_1.py +++ b/python/ray/serve/tests/test_telemetry_1.py @@ -10,7 +10,7 @@ import ray from ray import serve from ray._common.test_utils import wait_for_condition -from ray._private.usage.usage_lib import get_extra_usage_tags_to_report +from ray._common.usage.usage_lib import get_extra_usage_tags_to_report from ray.serve._private.constants import SERVE_MULTIPLEXED_MODEL_ID from ray.serve._private.test_utils import ( check_apps_running, diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index aafad2614a76..553a12bff588 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -5,7 +5,7 @@ import pytest -from ray._private.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC +from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC from ray.serve._private.autoscaling_state import AutoscalingStateManager from ray.serve._private.common import ( DeploymentHandleSource, diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index d802a0ee827a..584a331ee6b0 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -5,6 +5,7 @@ py_library( name = "conftest", srcs = glob(["**/conftest.py"]), visibility = [ + "//python/ray/_common/tests:__subpackages__", "//python/ray/autoscaler/v2:__pkg__", "//python/ray/dashboard:__pkg__", "//python/ray/data:__pkg__", @@ -476,7 +477,6 @@ py_test_module_list( size = "large", files = [ "test_output.py", - "test_usage_stats.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index c0e4ed99591e..1ea400e82a48 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -3713,7 +3713,7 @@ def test_get_id_not_found(shutdown_only): def test_core_state_api_usage_tags(shutdown_only): - from ray._private.usage.usage_lib import TagKey, get_extra_usage_tags_to_report + from ray._common.usage.usage_lib import TagKey, get_extra_usage_tags_to_report ctx = ray.init() gcs_client = GcsClient(address=ctx.address_info["gcs_address"]) diff --git a/python/ray/train/base_trainer.py b/python/ray/train/base_trainer.py index b69211ddc65b..d3c0cc446f91 100644 --- a/python/ray/train/base_trainer.py +++ b/python/ray/train/base_trainer.py @@ -13,8 +13,8 @@ import ray import ray.cloudpickle as pickle +from ray._common.usage import usage_lib from ray._private.dict import deep_update -from ray._private.usage import usage_lib from ray.air._internal import usage as air_usage from ray.air._internal.config import ensure_only_allowed_dataclass_keys_updated from ray.air._internal.usage import AirEntrypoint diff --git a/python/ray/train/huggingface/transformers/_transformers_utils.py b/python/ray/train/huggingface/transformers/_transformers_utils.py index c522b81cfbf1..b195a869f304 100644 --- a/python/ray/train/huggingface/transformers/_transformers_utils.py +++ b/python/ray/train/huggingface/transformers/_transformers_utils.py @@ -7,7 +7,7 @@ from torch.utils.data import DataLoader, Dataset, IterableDataset import ray -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.data.iterator import _IterableFromIterator from ray.train import Checkpoint from ray.util import PublicAPI diff --git a/python/ray/train/lightning/_lightning_utils.py b/python/ray/train/lightning/_lightning_utils.py index ba42fe12f4ba..2157287af516 100644 --- a/python/ray/train/lightning/_lightning_utils.py +++ b/python/ray/train/lightning/_lightning_utils.py @@ -10,7 +10,7 @@ import ray from ray import train -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.train import Checkpoint from ray.util import PublicAPI diff --git a/python/ray/train/tests/test_telemetry.py b/python/ray/train/tests/test_telemetry.py index 35d6f5f835c2..7b78e3463ed4 100644 --- a/python/ray/train/tests/test_telemetry.py +++ b/python/ray/train/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry from ray.train.data_parallel_trainer import DataParallelTrainer diff --git a/python/ray/train/tests/test_train_usage.py b/python/ray/train/tests/test_train_usage.py index 537d56a6fe87..cb0f9a99854f 100644 --- a/python/ray/train/tests/test_train_usage.py +++ b/python/ray/train/tests/test_train_usage.py @@ -106,7 +106,7 @@ def train_func(): @pytest.mark.parametrize("framework", ["torch", "lightning", "transformers"]) def test_torch_utility_usage_tags(shutdown_only, framework): - from ray._private.usage.usage_lib import TagKey, get_extra_usage_tags_to_report + from ray._common.usage.usage_lib import TagKey, get_extra_usage_tags_to_report ctx = ray.init() gcs_client = ray._raylet.GcsClient(address=ctx.address_info["gcs_address"]) diff --git a/python/ray/train/torch/train_loop_utils.py b/python/ray/train/torch/train_loop_utils.py index ea5628268875..bb48cf9fec7b 100644 --- a/python/ray/train/torch/train_loop_utils.py +++ b/python/ray/train/torch/train_loop_utils.py @@ -19,7 +19,7 @@ SequentialSampler, ) -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.air._internal.device_manager import ( get_torch_device_manager_by_context, get_torch_device_manager_by_device_type, diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 0a8f9caf1a68..40fede922b90 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -5,8 +5,8 @@ from typing import Any, Callable, Dict, List, Optional, Union import ray +from ray._common.usage import usage_lib from ray._private.ray_constants import env_bool -from ray._private.usage import usage_lib from ray.actor import ActorHandle from ray.air._internal.usage import tag_train_v2_trainer from ray.train import ( diff --git a/python/ray/train/v2/lightning/lightning_utils.py b/python/ray/train/v2/lightning/lightning_utils.py index 41a3637b3daa..4d417248c73d 100644 --- a/python/ray/train/v2/lightning/lightning_utils.py +++ b/python/ray/train/v2/lightning/lightning_utils.py @@ -4,7 +4,7 @@ from pathlib import Path import ray.train -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.train.lightning._lightning_utils import ( RayTrainReportCallback as RayTrainReportCallbackV1, import_lightning, diff --git a/python/ray/train/v2/tests/test_telemetry.py b/python/ray/train/v2/tests/test_telemetry.py index 32e2bc9480bd..0473f34846d7 100644 --- a/python/ray/train/v2/tests/test_telemetry.py +++ b/python/ray/train/v2/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer diff --git a/python/ray/train/v2/torch/train_loop_utils.py b/python/ray/train/v2/torch/train_loop_utils.py index 5cec6625c353..af546f83014f 100644 --- a/python/ray/train/v2/torch/train_loop_utils.py +++ b/python/ray/train/v2/torch/train_loop_utils.py @@ -16,7 +16,7 @@ ) import ray.train.torch -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.train.torch.train_loop_utils import _WrappedDataLoader from ray.util.annotations import Deprecated, PublicAPI diff --git a/python/ray/tune/tests/test_telemetry.py b/python/ray/tune/tests/test_telemetry.py index ec12b5a4dc10..fb01ae06ec53 100644 --- a/python/ray/tune/tests/test_telemetry.py +++ b/python/ray/tune/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray import tune from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry diff --git a/python/ray/tune/tune.py b/python/ray/tune/tune.py index ac61a9ddacf8..1d7c6f6223a3 100644 --- a/python/ray/tune/tune.py +++ b/python/ray/tune/tune.py @@ -591,7 +591,7 @@ def run( "persistent-storage.html#setting-the-local-staging-directory" ) - ray._private.usage.usage_lib.record_library_usage("tune") + ray._common.usage.usage_lib.record_library_usage("tune") # Tracking environment variable usage here will also catch: # 1.) Tuner.fit() usage diff --git a/python/ray/util/actor_group.py b/python/ray/util/actor_group.py index 03ffcb1184c2..53fe83285a72 100644 --- a/python/ray/util/actor_group.py +++ b/python/ray/util/actor_group.py @@ -96,7 +96,7 @@ def __init__( init_args: Optional[Tuple] = None, init_kwargs: Optional[Dict] = None, ): - from ray._private.usage.usage_lib import record_library_usage + from ray._common.usage.usage_lib import record_library_usage record_library_usage("util.ActorGroup") diff --git a/python/ray/util/actor_pool.py b/python/ray/util/actor_pool.py index 96eedfe29af1..fbdba9ce493e 100644 --- a/python/ray/util/actor_pool.py +++ b/python/ray/util/actor_pool.py @@ -38,7 +38,7 @@ def double(self, v): """ def __init__(self, actors: list): - from ray._private.usage.usage_lib import record_library_usage + from ray._common.usage.usage_lib import record_library_usage record_library_usage("util.ActorPool") diff --git a/python/ray/util/joblib/ray_backend.py b/python/ray/util/joblib/ray_backend.py index b5a6eda4daa6..72cb7032556a 100644 --- a/python/ray/util/joblib/ray_backend.py +++ b/python/ray/util/joblib/ray_backend.py @@ -6,7 +6,7 @@ from joblib.pool import PicklingPool import ray -from ray._private.usage import usage_lib +from ray._common.usage import usage_lib from ray.util.multiprocessing.pool import Pool logger = logging.getLogger(__name__) diff --git a/python/ray/util/multiprocessing/pool.py b/python/ray/util/multiprocessing/pool.py index 0c6b0ac66616..980626ca6eba 100644 --- a/python/ray/util/multiprocessing/pool.py +++ b/python/ray/util/multiprocessing/pool.py @@ -12,7 +12,7 @@ from typing import Any, Callable, Dict, Hashable, Iterable, List, Optional, Tuple import ray -from ray._private.usage import usage_lib +from ray._common.usage import usage_lib from ray.util import log_once try: diff --git a/python/ray/util/queue.py b/python/ray/util/queue.py index b714bfb7f7f5..8bd205f972c9 100644 --- a/python/ray/util/queue.py +++ b/python/ray/util/queue.py @@ -53,7 +53,7 @@ class Queue: """ def __init__(self, maxsize: int = 0, actor_options: Optional[Dict] = None) -> None: - from ray._private.usage.usage_lib import record_library_usage + from ray._common.usage.usage_lib import record_library_usage record_library_usage("util.Queue") diff --git a/python/ray/util/state/util.py b/python/ray/util/state/util.py index 16a5221e458f..dd62076bc1dc 100644 --- a/python/ray/util/state/util.py +++ b/python/ray/util/state/util.py @@ -49,7 +49,7 @@ def convert_string_to_type( def record_deprecated_state_api_import(): import warnings - from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag + from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag warnings.warn( "Ray state API is no longer experimental. Please import from `ray.util.state`. " diff --git a/rllib/__init__.py b/rllib/__init__.py index f63b8173d433..6b681ce4d78f 100644 --- a/rllib/__init__.py +++ b/rllib/__init__.py @@ -1,6 +1,6 @@ import logging -from ray._private.usage import usage_lib +from ray._common.usage import usage_lib # Note: do not introduce unnecessary library dependencies here, e.g. gym. # This file is imported from the tune module in order to register RLlib agents. diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index 12937c645828..6d455da75c55 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -35,7 +35,7 @@ import ray from ray.tune.result import TRAINING_ITERATION -from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.actor import ActorHandle from ray.tune import Checkpoint import ray.cloudpickle as pickle diff --git a/rllib/tests/test_telemetry.py b/rllib/tests/test_telemetry.py index a4a617c33c63..14712dca1a94 100644 --- a/rllib/tests/test_telemetry.py +++ b/rllib/tests/test_telemetry.py @@ -3,7 +3,7 @@ import pytest import ray -import ray._private.usage.usage_lib as ray_usage_lib +import ray._common.usage.usage_lib as ray_usage_lib from ray._common.test_utils import check_library_usage_telemetry, TelemetryCallsite From 79d81fa860961e01d0bcfafec118edcf984e8366 Mon Sep 17 00:00:00 2001 From: dragongu <38997200+dragongu@users.noreply.github.com> Date: Wed, 30 Jul 2025 02:30:25 +0800 Subject: [PATCH 0377/1566] [Data] Handle empty fragments in sampling when num_row_groups=0 (#54822) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? - Return `SampleInfo` with `None` values for empty fragments，prevents errors in downstream processing. ## Related issue number Run the test with debug output to see the full error: ``` def test_read_parquet_with_zero_row_groups(shutdown_only, tmp_path): """Test reading a parquet file with 0 row groups.""" # Create an empty parquet file (0 row groups) empty_path = os.path.join(tmp_path, "empty.parquet") schema = pa.schema({"": pa.int64()}) with pq.ParquetWriter(empty_path, schema) as writer: pass parquet_file = pq.ParquetFile(empty_path) assert parquet_file.num_row_groups == 0 #Test reading the empty parquet file dataset = ray.data.read_parquet(empty_path) assert dataset.count() == 0 ``` ``` values = self.deserialize_objects(serialized_objects, object_refs) if not return_exceptions: # Raise exceptions instead of returning them to the user. for i, value in enumerate(values): if isinstance(value, RayError): if isinstance(value, ray.exceptions.ObjectLostError): global_worker.core_worker.log_plasma_usage() if isinstance(value, RayTaskError): > raise value.as_instanceof_cause() E ray.exceptions.RayTaskError(ArrowIndexError): ray::_sample_fragment() E File "/opt/anaconda3/envs/github_rayenv/lib/python3.10/site-packages/ray/data/_internal/datasource/parquet_datasource.py", line 536, in _sample_fragment E fragment = fragment.subset(row_group_ids=[0]) E File "pyarrow/_dataset_parquet.pyx", line 484, in pyarrow._dataset_parquet.ParquetFileFragment.subset E File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status E File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status E pyarrow.lib.ArrowIndexError: ParquetFileFragment references row group 0 but /private/var/folders/kd/vvlnk55927s6l7lty1x2szbr0000gp/T/pytest-of-jyxc-dz-0100532/pytest-11/test_read_parquet_with_zero_ro0/empty.parquet only has 0 row groups /opt/anaconda3/envs/github_rayenv/lib/python3.10/site-packages/ray/_private/worker.py:948: RayTaskError(ArrowIndexError) ``` ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: dragongu Signed-off-by: Douglas Strodtman --- .../_internal/datasource/parquet_datasource.py | 5 +++++ python/ray/data/tests/test_parquet.py | 16 ++++++++++++++++ 2 files changed, 21 insertions(+) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index e380e613dbf8..548f6b6a88dc 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -534,6 +534,11 @@ def _sample_fragment( # Sample the first rows batch from file fragment `serialized_fragment`. fragment = _deserialize_fragments_with_retry([file_fragment])[0] + # If the fragment has no row groups, it's an empty or metadata-only file. + # Skip it by returning empty sample info. + if fragment.metadata.num_row_groups == 0: + return _SampleInfo(actual_bytes_per_row=None, estimated_bytes_per_row=None) + # Only sample the first row group. fragment = fragment.subset(row_group_ids=[0]) batch_size = max( diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index fd11259874e1..e557337987b3 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -2169,6 +2169,22 @@ def test_write_parquet_large_min_rows_per_file_exceeds_arrow_default( assert ds_read.count() == min_rows_per_file +def test_read_parquet_with_zero_row_groups(shutdown_only, tmp_path): + """Test reading a parquet file with 0 row groups.""" + # Create an empty parquet file (0 row groups) + empty_path = os.path.join(tmp_path, "empty.parquet") + schema = pa.schema({"id": pa.int64()}) + with pq.ParquetWriter(empty_path, schema): + pass + + parquet_file = pq.ParquetFile(empty_path) + assert parquet_file.num_row_groups == 0 + + # Test reading the empty parquet file + dataset = ray.data.read_parquet(empty_path) + assert dataset.count() == 0 + + if __name__ == "__main__": import sys From e6029ba48c5f4bb418705a4bf9a4ea59e8dea383 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 29 Jul 2025 11:59:39 -0700 Subject: [PATCH 0378/1566] [Data] Prevent negative resource budget when `concurrency` exceeds global limit (#54986) ## Why are these changes needed? If an actor pool operator uses GPUs and concurrency is set higher than the total number of GPUs in the cluster, the resource manager calculates a negative resource budget due to a bug. This PR fixes that issue. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../_internal/execution/resource_manager.py | 10 ++++-- .../ray/data/tests/test_resource_manager.py | 31 +++++++++++++++++++ 2 files changed, 39 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index aef320c50c40..517fc8a8671c 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -705,9 +705,15 @@ def update_usages(self): if op.min_max_resource_requirements()[1].gpu > 0: # If an operator needs GPU, we just allocate all GPUs to it. # TODO(hchen): allocate resources across multiple GPU operators. - self._op_budgets[op].gpu = ( + + # The op_usage can be more than the global limit in the following cases: + # 1. The op is setting a minimum concurrency that is larger than + # available num of GPUs. + # 2. The cluster scales down, and the global limit decreases. + self._op_budgets[op].gpu = max( self._resource_manager.get_global_limits().gpu - - self._resource_manager.get_op_usage(op).gpu + - self._resource_manager.get_op_usage(op).gpu, + 0, ) else: self._op_budgets[op].gpu = 0 diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index 09c4c9982633..9be299190883 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -711,6 +711,37 @@ def test_multiple_gpu_operators(self, restore_data_context): # o3: 4 total - 0 used = 4 available assert allocator._op_budgets[o3].gpu == 4 + def test_gpu_usage_exceeds_global_limits(self, restore_data_context): + o1 = InputDataBuffer(DataContext.get_current(), []) + + # One GPU operator + o2 = mock_map_op(o1, ray_remote_args={"num_gpus": 1}) + o2.min_max_resource_requirements = MagicMock( + return_value=(ExecutionResources(0, 1, 0), ExecutionResources(0, 2, 0)) + ) + + topo, _ = build_streaming_topology(o2, ExecutionOptions()) + + global_limits = ExecutionResources(gpu=1) + op_usages = { + o1: ExecutionResources.zero(), + # o2 uses 2 GPUs but only 1 is available. This can happen if you set + # `concurrency` to 2 but there's only 1 GPU in the cluster. In this case, + # one actor will be running and the other will be stuck pending. + o2: ExecutionResources(gpu=2), + } + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + resource_manager.get_op_usage = MagicMock(side_effect=lambda op: op_usages[op]) + resource_manager.get_global_limits = MagicMock(return_value=global_limits) + + allocator = resource_manager._op_resource_allocator + allocator.update_usages() + + assert allocator._op_budgets[o2].gpu == 0 + if __name__ == "__main__": import sys From 38bd6203bf4edd9f1fcabfa1abb88e574a253b35 Mon Sep 17 00:00:00 2001 From: Yevet Date: Tue, 29 Jul 2025 12:19:49 -0700 Subject: [PATCH 0379/1566] [Docs][KubeRay] add a guide for deploying deepseek on GKE (#54850) Signed-off-by: Yiwen Xiang Signed-off-by: Yevet Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- doc/source/cluster/kubernetes/examples.md | 2 + .../examples/rayserve-deepseek-example.md | 202 ++++++++++++++++++ .../images/ray_dashboard_deepseek.png | Bin 0 -> 924197 bytes 3 files changed, 204 insertions(+) create mode 100644 doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md create mode 100644 doc/source/cluster/kubernetes/images/ray_dashboard_deepseek.png diff --git a/doc/source/cluster/kubernetes/examples.md b/doc/source/cluster/kubernetes/examples.md index 99b88e52549e..4e683a784a1f 100644 --- a/doc/source/cluster/kubernetes/examples.md +++ b/doc/source/cluster/kubernetes/examples.md @@ -16,6 +16,7 @@ examples/rayjob-kueue-gang-scheduling examples/distributed-checkpointing-with-gcsfuse examples/modin-example examples/rayserve-llm-example +examples/rayserve-deepseek-example examples/verl-post-training ``` @@ -33,4 +34,5 @@ This section presents example Ray workloads to try out on your Kubernetes cluste - {ref}`kuberay-distributed-checkpointing-gcsefuse` - {ref}`kuberay-modin-example` - {ref}`kuberay-rayservice-llm-example` +- {ref}`kuberay-rayservice-deepseek-example` - {ref}`kuberay-verl` diff --git a/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md b/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md new file mode 100644 index 000000000000..3b9fff613fd3 --- /dev/null +++ b/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md @@ -0,0 +1,202 @@ +(kuberay-rayservice-deepseek-example)= + +# Serve Deepseek R1 using Ray Serve LLM + +This guide provides a step-by-step guide for deploying a Large Language Model (LLM) using Ray Serve LLM on Kubernetes. Leveraging KubeRay, Ray Serve, and vLLM, this guide deploys the `deepseek-ai/DeepSeek-R1` model from Hugging Face, enabling scalable, efficient, and OpenAI-compatible LLM serving within a Kubernetes environment. See [Serving LLMs](serving_llms) for information on Ray Serve LLM. + +## Prerequisites +A DeepSeek model requires 2 nodes, each equipped with 8 H100 80 GB GPUs. +It should be deployable on Kubernetes clusters that meet this requirement. +This guide provides instructions for setting up a GKE cluster using [A3 High](https://cloud.google.com/compute/docs/gpus#a3-high) or [A3 Mega](https://cloud.google.com/compute/docs/gpus#a3-mega) machine types. + +Before creating the cluster, ensure that your project has sufficient [quota](https://console.cloud.google.com/iam-admin/quotas) for the required accelerators. + +## Step 1: Create a Kubernetes cluster on GKE +Run this command and all following commands on your local machine or on the [Google Cloud Shell](https://cloud.google.com/shell). If running from your local machine, you need to install the [Google Cloud SDK](https://cloud.google.com/sdk/docs/install). +The following command creates a Kubernetes cluster named `kuberay-gpu-cluster` with 1 default CPU node in the `us-east5-a` zone. This example uses the `e2-standard-16` machine type, which has 16 vCPUs and 64 GB memory. + +```sh +gcloud container clusters create kuberay-gpu-cluster \ + --location=us-east5-a \ + --machine-type=e2-standard-16 \ + --num-nodes=1 \ + --enable-image-streaming +``` + +Run the following command to create an on-demand GPU node pool for Ray GPU workers. + +```sh +gcloud beta container node-pools create gpu-node-pool \ + --cluster kuberay-gpu-cluster \ + --machine-type a3-highgpu-8g \ + --num-nodes 2 \ + --accelerator "type=nvidia-h100-80gb,count=8" \ + --zone us-east5-a \ + --node-locations us-east5-a \ + --host-maintenance-interval=PERIODIC +``` + +The `--accelerator` flag specifies the type and number of GPUs for each node in the node pool. This example uses the [A3 High](https://cloud.google.com/compute/docs/gpus#a3-high) GPU. The machine type `a3-highgpu-8g` has 8 GPU, 640 GB GPU Memory, 208 vCPUs, and 1872 GB RAM. + + +```{admonition} Note +:class: note + +To create a node pool that uses reservations, you can specify the following parameters: +* `--reservation-affinity=specific` +* `--reservation=RESERVATION_NAME` +* `--placement-policy=PLACEMENT_POLICY_NAME` (Optional) +``` + +Run the following `gcloud` command to configure `kubectl` to communicate with your cluster: + +```sh +gcloud container clusters get-credentials kuberay-gpu-cluster --zone us-east5-a +``` + +## Step 2: Install the KubeRay operator + +Install the most recent stable KubeRay operator from the Helm repository by following [Deploy a KubeRay operator](kuberay-operator-deploy). The Kubernetes `NoSchedule` taint in the example config prevents the KubeRay operator Pod from running on a GPU node. + +## Step 3: Deploy a RayService + +Deploy DeepSeek-R1 as a RayService custom resource by running the following command: + +```sh +kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/master/ray-operator/config/samples/ray-service.deepseek.yaml +``` + +This step sets up a custom Ray Serve application to serve the `deepseek-ai/DeepSeek-R1` model on two worker nodes. You can inspect and modify the `serveConfigV2` section in the YAML file to learn more about the Serve application: +```yaml +serveConfigV2: | + applications: + - args: + llm_configs: + - model_loading_config: + model_id: "deepseek" + model_source: "deepseek-ai/DeepSeek-R1" + accelerator_type: "H100" + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 1 + runtime_env: + env_vars: + VLLM_USE_V1: "1" + engine_kwargs: + tensor_parallel_size: 8 + pipeline_parallel_size: 2 + gpu_memory_utilization: 0.92 + dtype: "auto" + max_num_seqs: 40 + max_model_len: 16384 + enable_chunked_prefill: true + enable_prefix_caching: true + import_path: ray.serve.llm:build_openai_app + name: llm_app + route_prefix: "/" +``` + +In particular, this configuration loads the model from `deepseek-ai/DeepSeek-R1` and sets its `model_id` to `deepseek`. The `LLMDeployment` initializes the underlying LLM engine using the `engine_kwargs` field, which includes key performance tuning parameters: + +- `tensor_parallel_size: 8` + + This setting enables tensor parallelism, splitting individual large layers of the model across 8 GPUs. Adjust this variable according to the number of GPUs used by cluster nodes. + +- `pipeline_parallel_size: 2` + + This setting enables pipeline parallelism, dividing the model's entire set of layers into 2 sequential stages. Adjust this variable according to cluster worker node numbers. + + +The `deployment_config` section sets the desired number of engine replicas. See [Serving LLMs](serving_llms) and the [Ray Serve config documentation](serve-in-production-config-file) for more information. + +Wait for the RayService resource to become healthy. You can confirm its status by running the following command: +```sh +kubectl get rayservice deepseek-r1 -o yaml +``` + +After a few minutes, the result should be similar to the following: +``` +status: + activeServiceStatus: + applicationStatuses: + llm_app: + serveDeploymentStatuses: + LLMDeployment:deepseek: + status: HEALTHY + LLMRouter: + status: HEALTHY + status: RUNNING +``` + +```{admonition} Note +:class: note + +The model download and deployment will typically take 20-30 minutes. While this is in progress, use the Ray Dashboard (Step 4) Cluster tab to monitor the download progress as disk fills up. +``` + +## Step 4: View the Ray dashboard +```sh +# Forward the service port +kubectl port-forward svc/deepseek-r1-head-svc 8265:8265 +``` + +Once forwarded, navigate to the Serve tab on the dashboard to review application status, deployments, routers, logs, and other relevant features. +![LLM Serve Application](../images/ray_dashboard_deepseek.png) + +## Step 5: Send a request + +To send requests to the Ray Serve deployment, port-forward port 8000 from the Serve app service: +```sh +kubectl port-forward svc/deepseek-r1-serve-svc 8000 +``` + +Note that this Kubernetes service comes up only after Ray Serve apps are running and ready. + +Test the service with the following command: +```sh +$ curl http://localhost:8000/v1/chat/completions -H "Content-Type: application/json" -d '{ + "model": "deepseek", + "messages": [ + { + "role": "user", + "content": "I have four boxes. I put the red box on the bottom and put the blue box on top. Then I put the yellow box on top the blue. Then I take the blue box out and put it on top. And finally I put the green box on the top. Give me the final order of the boxes from bottom to top. Show your reasoning but be brief"} + ], + "temperature": 0.7 + }' +``` + +The output should be in the following format: + +``` +{ + "id": "deepseek-653881a7-18f3-493b-a43f-adc8501f01f8", + "object": "chat.completion", + "created": 1753345252, + "model": "deepseek", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "reasoning_content": null, + "content": "Okay, let's break this down step by step. The user has four boxes: red, blue, yellow, and green. The starting point is putting the red box on the bottom. Then blue is placed on top of red. Next, yellow goes on top of blue. At this point, the order is red (bottom), blue, yellow. \n\nThen the instruction says to take the blue box out and put it on top. Wait, when they take the blue box out from where? The current stack is red, blue, yellow. If we remove blue from between red and yellow, that leaves red and yellow. Then placing blue on top would make the stack red, yellow, blue. But the problem is, when you remove a box from the middle, the boxes above it should fall down, right? So after removing blue, yellow would be on top of red. Then putting blue on top of that stack would make it red, yellow, blue.\n\nThen the final step is putting the green box on top. So the final order would be red (bottom), yellow, blue, green. Let me verify again to make sure I didn't miss anything. Start with red at bottom. Blue on top of red: red, blue. Yellow on top of blue: red, blue, yellow. Remove blue from the middle, so yellow moves down to be on red, then put blue on top: red, yellow, blue. Finally, add green on top: red, yellow, blue, green. Yes, that seems right.\n\n\nThe final order from bottom to top is: red, yellow, blue, green.\n\n1. Start with red at the bottom. \n2. Add blue on top: red → blue. \n3. Add yellow on top: red → blue → yellow. \n4. **Remove blue** from between red and yellow; yellow drops to second position. Now: red → yellow. \n5. Place blue back on top: red → yellow → blue. \n6. Add green on top: red → yellow → blue → green.", + "tool_calls": [] + }, + "logprobs": null, + "finish_reason": "stop", + "stop_reason": null + } + ], + "usage": { + "prompt_tokens": 81, + "total_tokens": 505, + "completion_tokens": 424, + "prompt_tokens_details": null + }, + "prompt_logprobs": null +} +``` + + + diff --git a/doc/source/cluster/kubernetes/images/ray_dashboard_deepseek.png b/doc/source/cluster/kubernetes/images/ray_dashboard_deepseek.png new file mode 100644 index 0000000000000000000000000000000000000000..be51e91af2f30e7b9b15c75dde96607cdefe8dad GIT binary patch literal 924197 zcmafZ1z21?w=PyF+T!l+?pn0CySuwXv0}yD-Q5NTx1z<}T?>O18=PMH{q~)6&pmfP z&z@u_S;^$h%CaOvNkIx30S^HJ0s>k3v$zTb1fmZF1T58i*tZhdeL*Y;2qbxHF)<}+ zF)0?q%iNrMP!cT;}sxiNt+;Mqe$pT;Xlem!+#o# zWvJa=m4F$Gto=&Uj2S-|)(#piTz)e7B%zJHG+5gS59zj|+0DJh?fLpNl@Tz>%ie+n zal_QDmKkmX70*l?KNt!NpeiW_d=?CZkPAdH`g-{#NN+SEA_Ar!sU?89t`1Us#lS4;Ev=XC?@Uh#(#@8ti?sXL1OyDiJz*h(Maq&WCZR3beXVEh$*SkXDU|MzvP; 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u@k>o8yM4o_zRZc$)$Z0;vGSR!Fy(bsf Date: Tue, 29 Jul 2025 13:19:26 -0700 Subject: [PATCH 0380/1566] [serve.llm] Allow setting `num_gpu < 1` in `LLMConfig.resources_per_bundle` (#54996) ## Why are these changes needed? This is documented feature to allow custom `resources_per_bundle`. We used to set `num_gpus=1` which might raise exception if user provide `GPU < 1` in the config. `num_gpus < 1` can be useful if we want to use only partial of the GPU ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Linkun Chen Signed-off-by: lkchen Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/vllm/vllm_engine.py | 2 +- .../utils/node_initialization_utils.py | 1 + .../llm/vllm/test_vllm_engine_gpu.py | 35 +++++++++++++++++++ 3 files changed, 37 insertions(+), 1 deletion(-) create mode 100644 python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 35c1be749672..9df0eee12a16 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -273,7 +273,7 @@ def _prepare_engine_config( ref = ( ray.remote( num_cpus=0, - num_gpus=1, + num_gpus=0.001, accelerator_type=self.llm_config.accelerator_type, )(_get_vllm_engine_config) .options( diff --git a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py index 94ebf1ae911d..f91e63c45b51 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/node_initialization_utils.py @@ -89,6 +89,7 @@ async def initialize_node(llm_config: LLMConfig) -> InitializeNodeOutput: extra_init_kwargs = {} engine_config = llm_config.get_engine_config() + assert engine_config is not None pg = engine_config.get_or_create_pg() runtime_env = engine_config.get_runtime_env_with_local_env_vars() diff --git a/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py b/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py new file mode 100644 index 000000000000..e3b24517ad73 --- /dev/null +++ b/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_vllm_engine_gpu.py @@ -0,0 +1,35 @@ +import pytest + +from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine +from ray.serve.llm import LLMConfig, ModelLoadingConfig + + +@pytest.mark.asyncio +async def test_vllm_engine_start_with_custom_resource_bundle( + # defined in conftest.py + model_smolvlm_256m, +): + """vLLM engine starts with custom resource bundle.""" + llm_config = LLMConfig( + model_loading_config=ModelLoadingConfig( + model_id="smolvlm-256m", + model_source=model_smolvlm_256m, + ), + engine_kwargs=dict( + gpu_memory_utilization=0.4, + use_tqdm_on_load=False, + enforce_eager=True, + ), + resources_per_bundle=dict(GPU=0.49), + runtime_env=dict( + env_vars={ + "VLLM_RAY_PER_WORKER_GPUS": "0.49", + "VLLM_DISABLE_COMPILE_CACHE": "1", + }, + ), + ) + + engine = VLLMEngine(llm_config) + await engine.start() + await engine.check_health() + engine.shutdown() From 8740c1fdb2a4dd6a86981da27cc42f2fdd0f093b Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Tue, 29 Jul 2025 20:43:12 +0000 Subject: [PATCH 0381/1566] [Core] Add default Ray Node labels at Node init (#53360) Signed-off-by: Ryan O'Leary Signed-off-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Jiajun Yao Co-authored-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- .../io/ray/test/NodeLabelSchedulingTest.java | 4 +- python/ray/_private/node.py | 122 +---- .../ray/_private/resource_and_label_spec.py | 478 ++++++++++++++++++ python/ray/_private/resource_spec.py | 283 ----------- python/ray/_private/services.py | 13 +- python/ray/_private/worker.py | 8 +- python/ray/includes/common.pxd | 9 + python/ray/includes/common.pxi | 21 + python/ray/serve/tests/test_serve_ha.py | 2 +- .../test_node_label_scheduling_strategy.py | 2 +- python/ray/tests/test_node_labels.py | 47 +- python/ray/tests/test_runtime_context.py | 19 +- python/ray/tests/test_state_api.py | 2 +- .../unit/test_resource_and_label_spec.py | 351 +++++++++++++ src/ray/common/constants.h | 27 +- 15 files changed, 970 insertions(+), 418 deletions(-) create mode 100644 python/ray/_private/resource_and_label_spec.py delete mode 100644 python/ray/_private/resource_spec.py create mode 100644 python/ray/tests/unit/test_resource_and_label_spec.py diff --git a/java/test/src/main/java/io/ray/test/NodeLabelSchedulingTest.java b/java/test/src/main/java/io/ray/test/NodeLabelSchedulingTest.java index b25457e87d6e..f03a6415dc73 100644 --- a/java/test/src/main/java/io/ray/test/NodeLabelSchedulingTest.java +++ b/java/test/src/main/java/io/ray/test/NodeLabelSchedulingTest.java @@ -16,7 +16,7 @@ public void testEmptyNodeLabels() { List nodeInfos = Ray.getRuntimeContext().getAllNodeInfo(); Assert.assertTrue(nodeInfos.size() == 1); Map labels = new HashMap<>(); - labels.put("ray.io/node_id", nodeInfos.get(0).nodeId.toString()); + labels.put("ray.io/node-id", nodeInfos.get(0).nodeId.toString()); Assert.assertEquals(nodeInfos.get(0).labels, labels); } finally { Ray.shutdown(); @@ -30,7 +30,7 @@ public void testSetNodeLabels() { List nodeInfos = Ray.getRuntimeContext().getAllNodeInfo(); Assert.assertTrue(nodeInfos.size() == 1); Map labels = new HashMap<>(); - labels.put("ray.io/node_id", nodeInfos.get(0).nodeId.toString()); + labels.put("ray.io/node-id", nodeInfos.get(0).nodeId.toString()); labels.put("gpu_type", "A100"); labels.put("azone", "azone-1"); Assert.assertEquals(nodeInfos.get(0).labels, labels); diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 00b6599dfc56..5a9cae459933 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -24,8 +24,8 @@ import ray._private.services from ray._common.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES from ray._common.utils import try_to_create_directory +from ray._private.resource_and_label_spec import ResourceAndLabelSpec from ray._private.resource_isolation_config import ResourceIsolationConfig -from ray._private.resource_spec import ResourceSpec from ray._private.services import get_address, serialize_config from ray._private.utils import ( is_in_test, @@ -137,7 +137,7 @@ def __init__( ), ) - self._resource_spec = None + self._resource_and_label_spec = None self._localhost = socket.gethostbyname("localhost") self._ray_params = ray_params self._config = ray_params._system_config or {} @@ -286,8 +286,6 @@ def __init__( self._raylet_socket_name = self._prepare_socket_file( self._ray_params.raylet_socket_name, default_prefix="raylet" ) - # Set node labels from RayParams or environment override variables. - self._node_labels = self._get_node_labels() if ( self._ray_params.env_vars is not None and "RAY_OVERRIDE_NODE_ID_FOR_TESTING" in self._ray_params.env_vars @@ -521,94 +519,18 @@ def _init_temp(self): tpu_logs_symlink = os.path.join(self._logs_dir, "tpu_logs") try_to_symlink(tpu_logs_symlink, tpu_log_dir) - def _get_node_labels(self): - def merge_labels(env_override_labels, params_labels): - """Merges two dictionaries, picking from the - first in the event of a conflict. Also emit a warning on every - conflict. - """ - - result = params_labels.copy() - result.update(env_override_labels) - - for key in set(env_override_labels.keys()).intersection( - set(params_labels.keys()) - ): - if params_labels[key] != env_override_labels[key]: - logger.warning( - "Autoscaler is overriding your label:" - f"{key}: {params_labels[key]} to " - f"{key}: {env_override_labels[key]}." - ) - return result - - env_override_labels = {} - env_override_labels_string = os.getenv( - ray_constants.LABELS_ENVIRONMENT_VARIABLE - ) - if env_override_labels_string: - try: - env_override_labels = json.loads(env_override_labels_string) - except Exception: - logger.exception(f"Failed to load {env_override_labels_string}") - raise - logger.info(f"Autoscaler overriding labels: {env_override_labels}.") - - return merge_labels(env_override_labels, self._ray_params.labels or {}) - - def get_resource_spec(self): - """Resolve and return the current resource spec for the node.""" - - def merge_resources(env_dict, params_dict): - """Separates special case params and merges two dictionaries, picking from the - first in the event of a conflict. Also emit a warning on every - conflict. - """ - num_cpus = env_dict.pop("CPU", None) - num_gpus = env_dict.pop("GPU", None) - memory = env_dict.pop("memory", None) - object_store_memory = env_dict.pop("object_store_memory", None) - - result = params_dict.copy() - result.update(env_dict) - - for key in set(env_dict.keys()).intersection(set(params_dict.keys())): - if params_dict[key] != env_dict[key]: - logger.warning( - "Autoscaler is overriding your resource:" - f"{key}: {params_dict[key]} with {env_dict[key]}." - ) - return num_cpus, num_gpus, memory, object_store_memory, result - - if not self._resource_spec: - env_resources = {} - env_string = os.getenv(ray_constants.RESOURCES_ENVIRONMENT_VARIABLE) - if env_string: - try: - env_resources = json.loads(env_string) - except Exception: - logger.exception(f"Failed to load {env_string}") - raise - logger.debug(f"Autoscaler overriding resources: {env_resources}.") - ( - num_cpus, - num_gpus, - memory, - object_store_memory, - resources, - ) = merge_resources(env_resources, self._ray_params.resources) - self._resource_spec = ResourceSpec( - self._ray_params.num_cpus if num_cpus is None else num_cpus, - self._ray_params.num_gpus if num_gpus is None else num_gpus, - self._ray_params.memory if memory is None else memory, - ( - self._ray_params.object_store_memory - if object_store_memory is None - else object_store_memory - ), - resources, + def get_resource_and_label_spec(self): + """Resolve and return the current ResourceAndLabelSpec for the node.""" + if not self._resource_and_label_spec: + self._resource_and_label_spec = ResourceAndLabelSpec( + self._ray_params.num_cpus, + self._ray_params.num_gpus, + self._ray_params.memory, + self._ray_params.object_store_memory, + self._ray_params.resources, + self._ray_params.labels, ).resolve(is_head=self.head, node_ip_address=self.node_ip_address) - return self._resource_spec + return self._resource_and_label_spec @property def node_id(self): @@ -1267,6 +1189,7 @@ def start_raylet( create_out=True, create_err=True, ) + process_info = ray._private.services.start_raylet( self.redis_address, self.gcs_address, @@ -1282,7 +1205,7 @@ def start_raylet( self._session_dir, self._runtime_env_dir, self._logs_dir, - self.get_resource_spec(), + self.get_resource_and_label_spec(), plasma_directory, fallback_directory, object_store_memory, @@ -1315,7 +1238,6 @@ def start_raylet( env_updates=self._ray_params.env_vars, node_name=self._ray_params.node_name, webui=self._webui_url, - labels=self.node_labels, resource_isolation_config=self.resource_isolation_config, ) assert ray_constants.PROCESS_TYPE_RAYLET not in self.all_processes @@ -1477,14 +1399,24 @@ def start_ray_processes(self): # Make sure we don't call `determine_plasma_store_config` multiple # times to avoid printing multiple warnings. - resource_spec = self.get_resource_spec() + resource_and_label_spec = self.get_resource_and_label_spec() + if resource_and_label_spec.labels.get( + ray._raylet.RAY_NODE_ACCELERATOR_TYPE_KEY + ): + from ray._common.usage import usage_lib + + usage_lib.record_hardware_usage( + resource_and_label_spec.labels.get( + ray._raylet.RAY_NODE_ACCELERATOR_TYPE_KEY + ) + ) ( plasma_directory, fallback_directory, object_store_memory, ) = ray._private.services.determine_plasma_store_config( - resource_spec.object_store_memory, + resource_and_label_spec.object_store_memory, self._temp_dir, plasma_directory=self._ray_params.plasma_directory, fallback_directory=self._fallback_directory, diff --git a/python/ray/_private/resource_and_label_spec.py b/python/ray/_private/resource_and_label_spec.py new file mode 100644 index 000000000000..f33b7d0a45fe --- /dev/null +++ b/python/ray/_private/resource_and_label_spec.py @@ -0,0 +1,478 @@ +import json +import logging +import os +import sys +from typing import Dict, Optional, Tuple + +import ray +import ray._private.ray_constants as ray_constants +from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX +from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX +from ray._private import accelerators +from ray._private.accelerators import AcceleratorManager + +logger = logging.getLogger(__name__) + + +class ResourceAndLabelSpec: + """Represents the resource and label configuration passed to a raylet. + + All fields can be None. Before starting services, resolve() should be + called to return a ResourceAndLabelSpec with unknown values filled in with + merged values based on the local machine and user specifications. + """ + + def __init__( + self, + num_cpus: Optional[int] = None, + num_gpus: Optional[int] = None, + memory: Optional[float] = None, + object_store_memory: Optional[float] = None, + resources: Optional[Dict[str, float]] = None, + labels: Optional[Dict[str, str]] = None, + ): + """ + Initialize a ResourceAndLabelSpec + + Args: + num_cpus: The CPUs allocated for this raylet. + num_gpus: The GPUs allocated for this raylet. + memory: The memory allocated for this raylet. + object_store_memory: The object store memory allocated for this raylet. + resources: The custom resources allocated for this raylet. + labels: The labels associated with this node. Labels can be used along + with resources for scheduling. + """ + self.num_cpus = num_cpus + self.num_gpus = num_gpus + self.memory = memory + self.object_store_memory = object_store_memory + self.resources = resources + self.labels = labels + self._is_resolved = False + + def resolved(self) -> bool: + """Returns if resolve() has been called for this ResourceAndLabelSpec + and default values are filled out.""" + return self._is_resolved + + def _all_fields_set(self) -> bool: + """Returns whether all fields in this ResourceAndLabelSpec are not None.""" + return all( + v is not None + for v in ( + self.num_cpus, + self.num_gpus, + self.memory, + self.object_store_memory, + self.resources, + self.labels, + ) + ) + + def to_resource_dict(self): + """Returns a dict suitable to pass to raylet initialization. + + This renames num_cpus / num_gpus to "CPU" / "GPU", + and check types and values. + """ + assert self.resolved() + + resources = dict( + self.resources, + CPU=self.num_cpus, + GPU=self.num_gpus, + memory=int(self.memory), + object_store_memory=int(self.object_store_memory), + ) + + resources = { + resource_label: resource_quantity + for resource_label, resource_quantity in resources.items() + if resource_quantity != 0 + } + + # Check types. + for resource_label, resource_quantity in resources.items(): + assert isinstance(resource_quantity, int) or isinstance( + resource_quantity, float + ), ( + f"{resource_label} ({type(resource_quantity)}): " f"{resource_quantity}" + ) + if ( + isinstance(resource_quantity, float) + and not resource_quantity.is_integer() + ): + raise ValueError( + "Resource quantities must all be whole numbers. " + "Violated by resource '{}' in {}.".format(resource_label, resources) + ) + if resource_quantity < 0: + raise ValueError( + "Resource quantities must be nonnegative. " + "Violated by resource '{}' in {}.".format(resource_label, resources) + ) + if resource_quantity > ray_constants.MAX_RESOURCE_QUANTITY: + raise ValueError( + "Resource quantities must be at most {}. " + "Violated by resource '{}' in {}.".format( + ray_constants.MAX_RESOURCE_QUANTITY, resource_label, resources + ) + ) + + return resources + + def resolve( + self, is_head: bool, node_ip_address: Optional[str] = None + ) -> "ResourceAndLabelSpec": + """Fills out this ResourceAndLabelSpec instance with merged values from system defaults and user specification. + + Args: + is_head: Whether this is the head node. + node_ip_address: The IP address of the node that we are on. + This is used to automatically create a node id resource. + + Returns: + ResourceAndLabelSpec: This instance with all fields resolved. + """ + + self._resolve_resources(is_head=is_head, node_ip_address=node_ip_address) + + # Resolve accelerator-specific resources + ( + accelerator_manager, + num_accelerators, + ) = ResourceAndLabelSpec._get_current_node_accelerator( + self.num_gpus, self.resources + ) + self._resolve_accelerator_resources(accelerator_manager, num_accelerators) + + # Default num_gpus value if unset by user and unable to auto-detect. + if self.num_gpus is None: + self.num_gpus = 0 + + # Resolve and merge node labels from all sources (params, env, and default). + self._resolve_labels(accelerator_manager) + + # Resolve memory resources + self._resolve_memory_resources() + + self._is_resolved = True + assert self._all_fields_set() + return self + + @staticmethod + def _load_env_resources() -> Dict[str, float]: + """Load resource overrides from the environment, if present.""" + env_resources = {} + env_string = os.getenv(ray_constants.RESOURCES_ENVIRONMENT_VARIABLE) + if env_string: + try: + env_resources = json.loads(env_string) + except Exception: + logger.exception(f"Failed to load {env_string}") + raise + logger.debug(f"Autoscaler overriding resources: {env_resources}.") + return env_resources + + @staticmethod + def _merge_resources(env_dict: Dict[str, float], params_dict: Dict[str, float]): + """Merge environment and Ray param-provided resources, with env values taking precedence. + Returns separated special case params (CPU/GPU/memory) and the merged resource dict. + """ + num_cpus = env_dict.pop("CPU", None) + num_gpus = env_dict.pop("GPU", None) + memory = env_dict.pop("memory", None) + object_store_memory = env_dict.pop("object_store_memory", None) + + result = params_dict.copy() + result.update(env_dict) + + for key in set(env_dict.keys()).intersection(params_dict or {}): + if params_dict[key] != env_dict[key]: + logger.warning( + f"Autoscaler is overriding your resource: {key}: " + f"{params_dict[key]} with {env_dict[key]}." + ) + + return num_cpus, num_gpus, memory, object_store_memory, result + + def _resolve_resources( + self, is_head: bool, node_ip_address: Optional[str] = None + ) -> None: + """Resolve CPU, GPU, and custom resources. Merges resources from environment, + Ray params, and defaults in that order of precedence.""" + + # Load environment override resources and merge with resources passed + # in from Ray Params. Separates special case params if found in env. + env_resources = ResourceAndLabelSpec._load_env_resources() + ( + num_cpus, + num_gpus, + memory, + object_store_memory, + merged_resources, + ) = ResourceAndLabelSpec._merge_resources(env_resources, self.resources or {}) + + self.num_cpus = self.num_cpus if num_cpus is None else num_cpus + self.num_gpus = self.num_gpus if num_gpus is None else num_gpus + self.memory = self.memory if memory is None else memory + self.object_store_memory = ( + self.object_store_memory + if object_store_memory is None + else object_store_memory + ) + self.resources = merged_resources + + if node_ip_address is None: + node_ip_address = ray.util.get_node_ip_address() + + # Automatically create a node id resource on each node. This is + # queryable with ray._private.state.node_ids() and + # ray._private.state.current_node_id(). + self.resources[NODE_ID_PREFIX + node_ip_address] = 1.0 + + # Automatically create a head node resource. + if HEAD_NODE_RESOURCE_NAME in self.resources: + raise ValueError( + f"{HEAD_NODE_RESOURCE_NAME}" + " is a reserved resource name, use another name instead." + ) + if is_head: + self.resources[HEAD_NODE_RESOURCE_NAME] = 1.0 + + # Auto-detect CPU count if not explicitly set + if self.num_cpus is None: + self.num_cpus = ray._private.utils.get_num_cpus() + + @staticmethod + def _load_env_labels() -> Dict[str, str]: + env_override_labels = {} + env_override_labels_string = os.getenv( + ray_constants.LABELS_ENVIRONMENT_VARIABLE + ) + if env_override_labels_string: + try: + env_override_labels = json.loads(env_override_labels_string) + except Exception: + logger.exception(f"Failed to load {env_override_labels_string}") + raise + logger.info(f"Autoscaler overriding labels: {env_override_labels}.") + + return env_override_labels + + @staticmethod + def _get_default_labels( + accelerator_manager: Optional[AcceleratorManager], + ) -> Dict[str, str]: + default_labels = {} + + # Get environment variables populated from K8s Pod Spec + node_group = os.environ.get(ray._raylet.NODE_TYPE_NAME_ENV, "") + market_type = os.environ.get(ray._raylet.NODE_MARKET_TYPE_ENV, "") + availability_region = os.environ.get(ray._raylet.NODE_REGION_ENV, "") + availability_zone = os.environ.get(ray._raylet.NODE_ZONE_ENV, "") + + # Map environment variables to default ray node labels + if market_type: + default_labels[ray._raylet.RAY_NODE_MARKET_TYPE_KEY] = market_type + if node_group: + default_labels[ray._raylet.RAY_NODE_GROUP_KEY] = node_group + if availability_zone: + default_labels[ray._raylet.RAY_NODE_ZONE_KEY] = availability_zone + if availability_region: + default_labels[ray._raylet.RAY_NODE_REGION_KEY] = availability_region + + # Get accelerator type from AcceleratorManager + if accelerator_manager: + accelerator_type = accelerator_manager.get_current_node_accelerator_type() + if accelerator_type: + default_labels[ + ray._raylet.RAY_NODE_ACCELERATOR_TYPE_KEY + ] = accelerator_type + + return default_labels + + def _resolve_labels( + self, accelerator_manager: Optional[AcceleratorManager] + ) -> None: + """Resolve and merge environment override, user-input from params, and Ray default + labels in that order of precedence.""" + + # Start with a dictionary filled out with Ray default labels + merged = ResourceAndLabelSpec._get_default_labels(accelerator_manager) + + # Merge user-specified labels from Ray params + for key, val in (self.labels or {}).items(): + if key in merged and merged[key] != val: + logger.warning( + f"User label is overriding Ray default label: {key}: " + f"{key}: {merged[key]} to " + f"{key}: {self.labels[key]}." + ) + merged[key] = val + + # Merge autoscaler override labels from environment + env_labels = ResourceAndLabelSpec._load_env_labels() + for key, val in (env_labels or {}).items(): + if key in merged and merged[key] != val: + logger.warning( + "Autoscaler is overriding your label:" + f"{key}: {merged[key]} to " + f"{key}: {env_labels[key]}." + ) + merged[key] = val + + self.labels = merged + + def _resolve_accelerator_resources(self, accelerator_manager, num_accelerators): + """Detect and update accelerator resources on a node.""" + if not accelerator_manager: + return + + accelerator_resource_name = accelerator_manager.get_resource_name() + visible_accelerator_ids = ( + accelerator_manager.get_current_process_visible_accelerator_ids() + ) + + # Check that the number of accelerators that the raylet wants doesn't + # exceed the amount allowed by visible accelerator ids. + if ( + num_accelerators is not None + and visible_accelerator_ids is not None + and num_accelerators > len(visible_accelerator_ids) + ): + raise ValueError( + f"Attempting to start raylet with {num_accelerators} " + f"{accelerator_resource_name}, " + f"but {accelerator_manager.get_visible_accelerator_ids_env_var()} " + f"contains {visible_accelerator_ids}." + ) + + if accelerator_resource_name == "GPU": + self.num_gpus = num_accelerators + else: + self.resources[accelerator_resource_name] = num_accelerators + + accelerator_type = accelerator_manager.get_current_node_accelerator_type() + if accelerator_type: + self.resources[f"{RESOURCE_CONSTRAINT_PREFIX}{accelerator_type}"] = 1 + additional_resources = ( + accelerator_manager.get_current_node_additional_resources() + ) + if additional_resources: + self.resources.update(additional_resources) + + def _resolve_memory_resources(self): + # Choose a default object store size. + system_memory = ray._common.utils.get_system_memory() + avail_memory = ray._private.utils.estimate_available_memory() + object_store_memory = self.object_store_memory + if object_store_memory is None: + object_store_memory = int( + avail_memory * ray_constants.DEFAULT_OBJECT_STORE_MEMORY_PROPORTION + ) + + # Set the object_store_memory size to 2GB on Mac + # to avoid degraded performance. + # (https://github.com/ray-project/ray/issues/20388) + if sys.platform == "darwin": + object_store_memory = min( + object_store_memory, ray_constants.MAC_DEGRADED_PERF_MMAP_SIZE_LIMIT + ) + + object_store_memory_cap = ( + ray_constants.DEFAULT_OBJECT_STORE_MAX_MEMORY_BYTES + ) + + # Cap by shm size by default to avoid low performance, but don't + # go lower than REQUIRE_SHM_SIZE_THRESHOLD. + if sys.platform == "linux" or sys.platform == "linux2": + # Multiple by 0.95 to give a bit of wiggle-room. + # https://github.com/ray-project/ray/pull/23034/files + shm_avail = ray._private.utils.get_shared_memory_bytes() * 0.95 + shm_cap = max(ray_constants.REQUIRE_SHM_SIZE_THRESHOLD, shm_avail) + + object_store_memory_cap = min(object_store_memory_cap, shm_cap) + + # Cap memory to avoid memory waste and perf issues on large nodes + if ( + object_store_memory_cap + and object_store_memory > object_store_memory_cap + ): + logger.debug( + "Warning: Capping object memory store to {}GB. ".format( + object_store_memory_cap // 1e9 + ) + + "To increase this further, specify `object_store_memory` " + "when calling ray.init() or ray start." + ) + object_store_memory = object_store_memory_cap + + memory = self.memory + if memory is None: + memory = avail_memory - object_store_memory + if memory < 100e6 and memory < 0.05 * system_memory: + raise ValueError( + "After taking into account object store and redis memory " + "usage, the amount of memory on this node available for " + "tasks and actors ({} GB) is less than {}% of total. " + "You can adjust these settings with " + "ray.init(memory=, " + "object_store_memory=).".format( + round(memory / 1e9, 2), int(100 * (memory / system_memory)) + ) + ) + + # Set the resolved memory and object_store_memory + self.object_store_memory = object_store_memory + self.memory = memory + + @staticmethod + def _get_current_node_accelerator( + num_gpus: Optional[int], resources: Dict[str, float] + ) -> Tuple[AcceleratorManager, int]: + """ + Returns the AcceleratorManager and accelerator count for the accelerator + associated with this node. This assumes each node has at most one accelerator type. + If no accelerators are present, returns None. + + The resolved accelerator count uses num_gpus (for GPUs) or resources if set, and + otherwise falls back to the count auto-detected by the AcceleratorManager. The + resolved accelerator count is capped by the number of visible accelerators. + + Args: + num_gpus: GPU count (if provided by user). + resources: Resource dictionary containing custom resource keys. + + Returns: + Tuple[Optional[AcceleratorManager], int]: A tuple containing the accelerator + manager (or None) the final resolved accelerator count. + """ + for resource_name in accelerators.get_all_accelerator_resource_names(): + accelerator_manager = accelerators.get_accelerator_manager_for_resource( + resource_name + ) + if accelerator_manager is None: + continue + # Respect configured value for GPUs if set + if resource_name == "GPU": + num_accelerators = num_gpus + else: + num_accelerators = resources.get(resource_name) + if num_accelerators is None: + num_accelerators = ( + accelerator_manager.get_current_node_num_accelerators() + ) + visible_accelerator_ids = ( + accelerator_manager.get_current_process_visible_accelerator_ids() + ) + if visible_accelerator_ids is not None: + num_accelerators = min( + num_accelerators, len(visible_accelerator_ids) + ) + + if num_accelerators > 0: + return accelerator_manager, num_accelerators + + return None, 0 diff --git a/python/ray/_private/resource_spec.py b/python/ray/_private/resource_spec.py deleted file mode 100644 index 1f2ffbe0497e..000000000000 --- a/python/ray/_private/resource_spec.py +++ /dev/null @@ -1,283 +0,0 @@ -import logging -import sys -from collections import namedtuple -from typing import Optional - -import ray -import ray._private.ray_constants as ray_constants -from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX -from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX - -logger = logging.getLogger(__name__) - - -class ResourceSpec( - namedtuple( - "ResourceSpec", - [ - "num_cpus", - "num_gpus", - "memory", - "object_store_memory", - "resources", - ], - ) -): - """Represents the resource configuration passed to a raylet. - - All fields can be None. Before starting services, resolve() should be - called to return a ResourceSpec with unknown values filled in with - defaults based on the local machine specifications. - - Attributes: - num_cpus: The CPUs allocated for this raylet. - num_gpus: The GPUs allocated for this raylet. - memory: The memory allocated for this raylet. - object_store_memory: The object store memory allocated for this raylet. - Note that when calling to_resource_dict(), this will be scaled down - by 30% to account for the global plasma LRU reserve. - resources: The custom resources allocated for this raylet. - """ - - def __new__( - cls, - num_cpus=None, - num_gpus=None, - memory=None, - object_store_memory=None, - resources=None, - ): - return super(ResourceSpec, cls).__new__( - cls, - num_cpus, - num_gpus, - memory, - object_store_memory, - resources, - ) - - def resolved(self): - """Returns if this ResourceSpec has default values filled out.""" - for v in self._asdict().values(): - if v is None: - return False - return True - - def to_resource_dict(self): - """Returns a dict suitable to pass to raylet initialization. - - This renames num_cpus / num_gpus to "CPU" / "GPU", - translates memory from bytes into 100MB memory units, and checks types. - """ - assert self.resolved() - - resources = dict( - self.resources, - CPU=self.num_cpus, - GPU=self.num_gpus, - memory=int(self.memory), - object_store_memory=int(self.object_store_memory), - ) - - resources = { - resource_label: resource_quantity - for resource_label, resource_quantity in resources.items() - if resource_quantity != 0 - } - - # Check types. - for resource_label, resource_quantity in resources.items(): - assert isinstance(resource_quantity, int) or isinstance( - resource_quantity, float - ), ( - f"{resource_label} ({type(resource_quantity)}): " f"{resource_quantity}" - ) - if ( - isinstance(resource_quantity, float) - and not resource_quantity.is_integer() - ): - raise ValueError( - "Resource quantities must all be whole numbers. " - "Violated by resource '{}' in {}.".format(resource_label, resources) - ) - if resource_quantity < 0: - raise ValueError( - "Resource quantities must be nonnegative. " - "Violated by resource '{}' in {}.".format(resource_label, resources) - ) - if resource_quantity > ray_constants.MAX_RESOURCE_QUANTITY: - raise ValueError( - "Resource quantities must be at most {}. " - "Violated by resource '{}' in {}.".format( - ray_constants.MAX_RESOURCE_QUANTITY, resource_label, resources - ) - ) - - return resources - - def resolve(self, is_head: bool, node_ip_address: Optional[str] = None): - """Returns a copy with values filled out with system defaults. - - Args: - is_head: Whether this is the head node. - node_ip_address: The IP address of the node that we are on. - This is used to automatically create a node id resource. - """ - - resources = (self.resources or {}).copy() - assert "CPU" not in resources, resources - assert "GPU" not in resources, resources - assert "memory" not in resources, resources - assert "object_store_memory" not in resources, resources - - if node_ip_address is None: - node_ip_address = ray.util.get_node_ip_address() - - # Automatically create a node id resource on each node. This is - # queryable with ray._private.state.node_ids() and - # ray._private.state.current_node_id(). - resources[NODE_ID_PREFIX + node_ip_address] = 1.0 - - # Automatically create a head node resource. - if HEAD_NODE_RESOURCE_NAME in resources: - raise ValueError( - f"{HEAD_NODE_RESOURCE_NAME}" - " is a reserved resource name, use another name instead." - ) - if is_head: - resources[HEAD_NODE_RESOURCE_NAME] = 1.0 - - num_cpus = self.num_cpus - if num_cpus is None: - num_cpus = ray._private.utils.get_num_cpus() - - num_gpus = 0 - for ( - accelerator_resource_name - ) in ray._private.accelerators.get_all_accelerator_resource_names(): - accelerator_manager = ( - ray._private.accelerators.get_accelerator_manager_for_resource( - accelerator_resource_name - ) - ) - num_accelerators = None - if accelerator_resource_name == "GPU": - num_accelerators = self.num_gpus - else: - num_accelerators = resources.get(accelerator_resource_name, None) - visible_accelerator_ids = ( - accelerator_manager.get_current_process_visible_accelerator_ids() - ) - # Check that the number of accelerators that the raylet wants doesn't - # exceed the amount allowed by visible accelerator ids. - if ( - num_accelerators is not None - and visible_accelerator_ids is not None - and num_accelerators > len(visible_accelerator_ids) - ): - raise ValueError( - f"Attempting to start raylet with {num_accelerators} " - f"{accelerator_resource_name}, " - f"but {accelerator_manager.get_visible_accelerator_ids_env_var()} " - f"contains {visible_accelerator_ids}." - ) - if num_accelerators is None: - # Try to automatically detect the number of accelerators. - num_accelerators = ( - accelerator_manager.get_current_node_num_accelerators() - ) - # Don't use more accelerators than allowed by visible accelerator ids. - if visible_accelerator_ids is not None: - num_accelerators = min( - num_accelerators, len(visible_accelerator_ids) - ) - - if num_accelerators: - if accelerator_resource_name == "GPU": - num_gpus = num_accelerators - else: - resources[accelerator_resource_name] = num_accelerators - - accelerator_type = ( - accelerator_manager.get_current_node_accelerator_type() - ) - if accelerator_type: - resources[f"{RESOURCE_CONSTRAINT_PREFIX}{accelerator_type}"] = 1 - - from ray._common.usage import usage_lib - - usage_lib.record_hardware_usage(accelerator_type) - additional_resources = ( - accelerator_manager.get_current_node_additional_resources() - ) - if additional_resources: - resources.update(additional_resources) - # Choose a default object store size. - system_memory = ray._common.utils.get_system_memory() - avail_memory = ray._private.utils.estimate_available_memory() - object_store_memory = self.object_store_memory - if object_store_memory is None: - object_store_memory = int( - avail_memory * ray_constants.DEFAULT_OBJECT_STORE_MEMORY_PROPORTION - ) - - # Set the object_store_memory size to 2GB on Mac - # to avoid degraded performance. - # (https://github.com/ray-project/ray/issues/20388) - if sys.platform == "darwin": - object_store_memory = min( - object_store_memory, ray_constants.MAC_DEGRADED_PERF_MMAP_SIZE_LIMIT - ) - - object_store_memory_cap = ( - ray_constants.DEFAULT_OBJECT_STORE_MAX_MEMORY_BYTES - ) - - # Cap by shm size by default to avoid low performance, but don't - # go lower than REQUIRE_SHM_SIZE_THRESHOLD. - if sys.platform == "linux" or sys.platform == "linux2": - # Multiple by 0.95 to give a bit of wiggle-room. - # https://github.com/ray-project/ray/pull/23034/files - shm_avail = ray._private.utils.get_shared_memory_bytes() * 0.95 - shm_cap = max(ray_constants.REQUIRE_SHM_SIZE_THRESHOLD, shm_avail) - - object_store_memory_cap = min(object_store_memory_cap, shm_cap) - - # Cap memory to avoid memory waste and perf issues on large nodes - if ( - object_store_memory_cap - and object_store_memory > object_store_memory_cap - ): - logger.debug( - "Warning: Capping object memory store to {}GB. ".format( - object_store_memory_cap // 1e9 - ) - + "To increase this further, specify `object_store_memory` " - "when calling ray.init() or ray start." - ) - object_store_memory = object_store_memory_cap - - memory = self.memory - if memory is None: - memory = avail_memory - object_store_memory - if memory < 100e6 and memory < 0.05 * system_memory: - raise ValueError( - "After taking into account object store and redis memory " - "usage, the amount of memory on this node available for " - "tasks and actors ({} GB) is less than {}% of total. " - "You can adjust these settings with " - "ray.init(memory=, " - "object_store_memory=).".format( - round(memory / 1e9, 2), int(100 * (memory / system_memory)) - ) - ) - - spec = ResourceSpec( - num_cpus, - num_gpus, - memory, - object_store_memory, - resources, - ) - assert spec.resolved() - return spec diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index ee7ac25403c9..e6aa1975bbc1 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1538,7 +1538,7 @@ def start_raylet( session_dir: str, resource_dir: str, log_dir: str, - resource_spec, + resource_and_label_spec, plasma_directory: str, fallback_directory: str, object_store_memory: int, @@ -1572,7 +1572,6 @@ def start_raylet( env_updates: Optional[dict] = None, node_name: Optional[str] = None, webui: Optional[str] = None, - labels: Optional[dict] = None, ): """Start a raylet, which is a combined local scheduler and object manager. @@ -1594,7 +1593,7 @@ def start_raylet( session_dir: The path of this session. resource_dir: The path of resource of this session . log_dir: The path of the dir where log files are created. - resource_spec: Resources for this raylet. + resource_and_label_spec: Resources and key-value labels for this raylet. plasma_directory: A directory where the Plasma memory mapped files will be created. fallback_directory: A directory where the Object store fallback files will be created. @@ -1649,7 +1648,6 @@ def start_raylet( env_updates: Environment variable overrides. node_name: The name of the node. webui: The url of the UI. - labels: The key-value labels of the node. Returns: ProcessInfo for the process that was started. """ @@ -1658,8 +1656,9 @@ def start_raylet( if use_valgrind and use_profiler: raise ValueError("Cannot use valgrind and profiler at the same time.") - assert resource_spec.resolved() - static_resources = resource_spec.to_resource_dict() + # Get the static resources and labels from the resolved ResourceAndLabelSpec + static_resources = resource_and_label_spec.to_resource_dict() + labels = resource_and_label_spec.labels # Limit the number of workers that can be started in parallel by the # raylet. However, make sure it is at least 1. @@ -1907,7 +1906,7 @@ def start_raylet( if worker_port_list is not None: command.append(f"--worker_port_list={worker_port_list}") command.append( - "--num_prestart_python_workers={}".format(int(resource_spec.num_cpus)) + "--num_prestart_python_workers={}".format(int(resource_and_label_spec.num_cpus)) ) command.append( "--dashboard_agent_command={}".format( diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 1d97f8b02f07..6d253a761354 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1054,10 +1054,12 @@ def get_accelerator_ids_for_accelerator_resource( # Give all accelerator ids in local_mode. if self.mode == LOCAL_MODE: if resource_name == ray_constants.GPU: - max_accelerators = self.node.get_resource_spec().num_gpus + max_accelerators = self.node.get_resource_and_label_spec().num_gpus else: - max_accelerators = self.node.get_resource_spec().resources.get( - resource_name, None + max_accelerators = ( + self.node.get_resource_and_label_spec().resources.get( + resource_name, None + ) ) if max_accelerators: assigned_ids = original_ids[:max_accelerators] diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index f69f80f46e10..b6a010a53aa9 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -774,3 +774,12 @@ cdef extern from "ray/common/constants.h" nogil: cdef const char[] kGcsAutoscalerV2EnabledKey cdef const char[] kGcsAutoscalerClusterConfigKey cdef const char[] kGcsPidKey + cdef const char[] kNodeTypeNameEnv + cdef const char[] kNodeMarketTypeEnv + cdef const char[] kNodeRegionEnv + cdef const char[] kNodeZoneEnv + cdef const char[] kLabelKeyNodeAcceleratorType + cdef const char[] kLabelKeyNodeMarketType + cdef const char[] kLabelKeyNodeRegion + cdef const char[] kLabelKeyNodeZone + cdef const char[] kLabelKeyNodeGroup diff --git a/python/ray/includes/common.pxi b/python/ray/includes/common.pxi index 3db7b9391d72..b4c257a7b140 100644 --- a/python/ray/includes/common.pxi +++ b/python/ray/includes/common.pxi @@ -14,6 +14,15 @@ from ray.includes.common cimport ( kGcsAutoscalerV2EnabledKey, kGcsAutoscalerClusterConfigKey, kGcsPidKey, + kNodeTypeNameEnv, + kNodeMarketTypeEnv, + kNodeRegionEnv, + kNodeZoneEnv, + kLabelKeyNodeAcceleratorType, + kLabelKeyNodeMarketType, + kLabelKeyNodeRegion, + kLabelKeyNodeZone, + kLabelKeyNodeGroup, ) from ray.exceptions import ( @@ -128,3 +137,15 @@ GCS_AUTOSCALER_STATE_NAMESPACE = kGcsAutoscalerStateNamespace.decode() GCS_AUTOSCALER_V2_ENABLED_KEY = kGcsAutoscalerV2EnabledKey.decode() GCS_AUTOSCALER_CLUSTER_CONFIG_KEY = kGcsAutoscalerClusterConfigKey.decode() GCS_PID_KEY = kGcsPidKey.decode() + +# Ray node label related constants form src/ray/common/constants.h +NODE_TYPE_NAME_ENV = kNodeTypeNameEnv.decode() +NODE_MARKET_TYPE_ENV = kNodeMarketTypeEnv.decode() +NODE_REGION_ENV = kNodeRegionEnv.decode() +NODE_ZONE_ENV = kNodeZoneEnv.decode() + +RAY_NODE_ACCELERATOR_TYPE_KEY = kLabelKeyNodeAcceleratorType.decode() +RAY_NODE_MARKET_TYPE_KEY = kLabelKeyNodeMarketType.decode() +RAY_NODE_REGION_KEY = kLabelKeyNodeRegion.decode() +RAY_NODE_ZONE_KEY = kLabelKeyNodeZone.decode() +RAY_NODE_GROUP_KEY = kLabelKeyNodeGroup.decode() diff --git a/python/ray/serve/tests/test_serve_ha.py b/python/ray/serve/tests/test_serve_ha.py index 608b36ae1c33..a15cff0a3a47 100644 --- a/python/ray/serve/tests/test_serve_ha.py +++ b/python/ray/serve/tests/test_serve_ha.py @@ -109,7 +109,7 @@ def check_for_head_node_come_back_up(): import ray import requests from ray.serve.schema import ServeInstanceDetails -from ray._private.resource_spec import HEAD_NODE_RESOURCE_NAME +from ray._private.resource_and_label_spec import HEAD_NODE_RESOURCE_NAME ray.init(address="auto") head_node_id = ray.get_runtime_context().get_node_id() serve_details = ServeInstanceDetails( diff --git a/python/ray/tests/test_node_label_scheduling_strategy.py b/python/ray/tests/test_node_label_scheduling_strategy.py index 9493cd68acf2..d13fc587ac08 100644 --- a/python/ray/tests/test_node_label_scheduling_strategy.py +++ b/python/ray/tests/test_node_label_scheduling_strategy.py @@ -106,7 +106,7 @@ def test_node_label_scheduling_in_cluster(ray_start_cluster): assert ray.get(actor.get_node_id.remote(), timeout=3) == node_1 actor = MyActor.options( - scheduling_strategy=NodeLabelSchedulingStrategy({"ray.io/node_id": In(node_4)}) + scheduling_strategy=NodeLabelSchedulingStrategy({"ray.io/node-id": In(node_4)}) ).remote() assert ray.get(actor.get_node_id.remote(), timeout=3) == node_4 diff --git a/python/ray/tests/test_node_labels.py b/python/ray/tests/test_node_labels.py index 6a7221ecc446..0761af137ed8 100644 --- a/python/ray/tests/test_node_labels.py +++ b/python/ray/tests/test_node_labels.py @@ -13,8 +13,8 @@ def check_cmd_stderr(cmd): return subprocess.run(cmd, stderr=subprocess.PIPE).stderr.decode("utf-8") -def add_default_labels(node_info, labels): - labels["ray.io/node_id"] = node_info["NodeID"] +def add_default_labels_for_test(node_info, labels): + labels["ray.io/node-id"] = node_info["NodeID"] return labels @@ -26,7 +26,7 @@ def add_default_labels(node_info, labels): def test_ray_start_set_node_labels_from_json(call_ray_start): ray.init(address=call_ray_start) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels( + assert node_info["Labels"] == add_default_labels_for_test( node_info, {"gpu_type": "A100", "region": "us"} ) @@ -39,7 +39,7 @@ def test_ray_start_set_node_labels_from_json(call_ray_start): def test_ray_start_set_node_labels_from_string(call_ray_start): ray.init(address=call_ray_start) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels( + assert node_info["Labels"] == add_default_labels_for_test( node_info, {"gpu_type": "A100", "region": "us"} ) @@ -54,18 +54,18 @@ def test_ray_start_set_node_labels_from_string(call_ray_start): def test_ray_start_set_empty_node_labels(call_ray_start): ray.init(address=call_ray_start) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels(node_info, {}) + assert node_info["Labels"] == add_default_labels_for_test(node_info, {}) def test_ray_init_set_node_labels(shutdown_only): labels = {"gpu_type": "A100", "region": "us"} ray.init(labels=labels) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels(node_info, labels) + assert node_info["Labels"] == add_default_labels_for_test(node_info, labels) ray.shutdown() ray.init(labels={}) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels(node_info, {}) + assert node_info["Labels"] == add_default_labels_for_test(node_info, {}) def test_ray_init_set_node_labels_value_error(ray_start_cluster): @@ -87,7 +87,7 @@ def test_ray_start_set_node_labels_value_error(): assert "Label string is not a key-value pair." in out out = check_cmd_stderr( - ["ray", "start", "--head", '--labels={"ray.io/node_id":"111"}'] + ["ray", "start", "--head", '--labels={"ray.io/node-id":"111"}'] ) assert "Label string is not a key-value pair" in out @@ -104,14 +104,14 @@ def test_cluster_add_node_with_labels(ray_start_cluster): cluster.wait_for_nodes() ray.init(address=cluster.address) node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels(node_info, labels) + assert node_info["Labels"] == add_default_labels_for_test(node_info, labels) head_node_id = ray.nodes()[0]["NodeID"] cluster.add_node(num_cpus=1, labels={}) cluster.wait_for_nodes() for node in ray.nodes(): if node["NodeID"] != head_node_id: - assert node["Labels"] == add_default_labels(node, {}) + assert node["Labels"] == add_default_labels_for_test(node, {}) @pytest.mark.parametrize("autoscaler_v2", [False, True], ids=["v1", "v2"]) @@ -137,12 +137,14 @@ def test_autoscaler_set_node_labels(autoscaler_v2, shutdown_only): for node in ray.nodes(): if node["Resources"].get("CPU", 0) == 1: - assert node["Labels"] == add_default_labels(node, {"region": "us"}) + assert node["Labels"] == add_default_labels_for_test( + node, {"region": "us"} + ) finally: cluster.shutdown() -def test_ray_start_set_node_labels_from_file(): +def test_ray_start_set_node_labels_from_file(shutdown_only): with tempfile.NamedTemporaryFile(mode="w+", delete=False) as test_file: test_file.write('"gpu_type": "A100"\n"region": "us"\n"market-type": "spot"') test_file_path = test_file.name @@ -152,7 +154,7 @@ def test_ray_start_set_node_labels_from_file(): subprocess.check_call(cmd) ray.init(address="auto") node_info = ray.nodes()[0] - assert node_info["Labels"] == add_default_labels( + assert node_info["Labels"] == add_default_labels_for_test( node_info, {"gpu_type": "A100", "region": "us", "market-type": "spot"} ) finally: @@ -160,5 +162,24 @@ def test_ray_start_set_node_labels_from_file(): os.remove(test_file_path) +def test_get_default_ray_node_labels(shutdown_only, monkeypatch): + # Set env vars for this test + monkeypatch.setenv("RAY_NODE_MARKET_TYPE", "spot") + monkeypatch.setenv("RAY_NODE_TYPE_NAME", "worker-group-1") + monkeypatch.setenv("RAY_NODE_REGION", "us-central2") + monkeypatch.setenv("RAY_NODE_ZONE", "us-central2-b") + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v4-16") + + ray.init(resources={"TPU": 4}) + node_info = ray.nodes()[0] + labels = node_info["Labels"] + + assert labels.get("ray.io/market-type") == "spot" + assert labels.get("ray.io/node-group") == "worker-group-1" + assert labels.get("ray.io/availability-region") == "us-central2" + assert labels.get("ray.io/availability-zone") == "us-central2-b" + assert labels.get("ray.io/accelerator-type") == "TPU-V4" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/test_runtime_context.py b/python/ray/tests/test_runtime_context.py index 88a2baacb8a8..0d44d1925784 100644 --- a/python/ray/tests/test_runtime_context.py +++ b/python/ray/tests/test_runtime_context.py @@ -422,12 +422,11 @@ def test_get_node_labels(ray_start_cluster_head): resources={"worker1": 1}, num_cpus=1, labels={ - "accelerator-type": "A100", - "region": "us-west4", - "market-type": "spot", + "ray.io/accelerator-type": "A100", + "ray.io/availability-region": "us-west4", + "ray.io/market-type": "spot", }, ) - # ray.init(address=cluster.address) @ray.remote class Actor: @@ -438,20 +437,20 @@ def get_node_labels(self): return ray.get_runtime_context().get_node_labels() expected_node_labels = { - "accelerator-type": "A100", - "region": "us-west4", - "market-type": "spot", + "ray.io/accelerator-type": "A100", + "ray.io/availability-region": "us-west4", + "ray.io/market-type": "spot", } # Check node labels from Actor runtime context - a = Actor.options(label_selector={"accelerator-type": "A100"}).remote() + a = Actor.options(label_selector={"ray.io/accelerator-type": "A100"}).remote() node_labels = ray.get(a.get_node_labels.remote()) - expected_node_labels["ray.io/node_id"] = ray.get(a.get_node_id.remote()) + expected_node_labels["ray.io/node-id"] = ray.get(a.get_node_id.remote()) assert expected_node_labels == node_labels # Check node labels from driver runtime context (none are set except default) driver_labels = ray.get_runtime_context().get_node_labels() - assert {"ray.io/node_id": ray.get_runtime_context().get_node_id()} == driver_labels + assert {"ray.io/node-id": ray.get_runtime_context().get_node_id()} == driver_labels if __name__ == "__main__": diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 1ea400e82a48..77c7b9a72897 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -2198,7 +2198,7 @@ def verify(): nodes = list_nodes(detail=True) for node in nodes: assert is_hex(node["node_id"]) - assert node["labels"] == {"ray.io/node_id": node["node_id"]} + assert node["labels"] == {"ray.io/node-id": node["node_id"]} if node["node_name"] == "head_node": assert node["is_head_node"] assert node["state"] == "ALIVE" diff --git a/python/ray/tests/unit/test_resource_and_label_spec.py b/python/ray/tests/unit/test_resource_and_label_spec.py new file mode 100644 index 000000000000..76568b5b4fe0 --- /dev/null +++ b/python/ray/tests/unit/test_resource_and_label_spec.py @@ -0,0 +1,351 @@ +import sys +import json +import pytest +from unittest.mock import patch +from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX +import ray._private.ray_constants as ray_constants +from ray._private.accelerators import AcceleratorManager +from ray._private.resource_and_label_spec import ResourceAndLabelSpec + + +class FakeAcceleratorManager(AcceleratorManager): + """Minimal fake Acceleratormanager for testing.""" + + # Configure these values to test different resource resolution paths. + def __init__( + self, + resource_name, + accelerator_type, + num_accelerators, + additional_resources=None, + visible_ids=None, + ): + self._resource_name = resource_name + self._accelerator_type = accelerator_type + self._num_accelerators = num_accelerators + self._additional_resources = additional_resources + self._visible_ids = visible_ids + + def get_current_node_num_accelerators(self) -> int: + return self._num_accelerators + + def get_current_process_visible_accelerator_ids(self): + if self._visible_ids is not None: + return [str(i) for i in range(self._visible_ids)] + return [str(i) for i in range(self._num_accelerators)] + + def get_resource_name(self) -> str: + return self._resource_name + + def get_current_node_accelerator_type(self) -> str: + return self._accelerator_type + + def get_visible_accelerator_ids_env_var(self) -> str: + return "CUDA_VISIBLE_DEVICES" + + def get_current_node_additional_resources(self): + return self._additional_resources or {} + + def set_current_process_visible_accelerator_ids(self, ids): + pass + + def validate_resource_request_quantity(self, quantity: int) -> None: + pass + + +def test_resource_and_label_spec_resolves_with_params(): + """Validate that ResourceAndLabelSpec resolve() respects passed in + Ray Params rather than overriding with auto-detection/system defaults.""" + # Create ResourceAndLabelSpec with args from RayParams. + spec = ResourceAndLabelSpec( + num_cpus=8, + num_gpus=2, + memory=10 * 1024**3, + object_store_memory=5 * 1024**3, + resources={"TPU": 42}, + labels={"ray.io/market-type": "spot"}, + ) + + spec.resolve(is_head=False) + + # Verify that explicit Ray Params values are preserved. + assert spec.num_cpus == 8 + assert spec.num_gpus == 2 + assert spec.memory == 10 * 1024**3 + assert spec.object_store_memory == 5 * 1024**3 + assert spec.resources["TPU"] == 42 + assert any(key.startswith(NODE_ID_PREFIX) for key in spec.resources) + assert spec.labels["ray.io/market-type"] == "spot" + + assert spec.resolved() + + +def test_resource_and_label_spec_resolves_auto_detect(monkeypatch): + """Validate that ResourceAndLabelSpec resolve() fills out defaults detected from + system when Params not passed.""" + monkeypatch.setattr("ray._private.utils.get_num_cpus", lambda: 4) # 4 cpus + monkeypatch.setattr( + "ray._common.utils.get_system_memory", lambda: 16 * 1024**3 + ) # 16GB + monkeypatch.setattr( + "ray._private.utils.estimate_available_memory", lambda: 8 * 1024**3 + ) # 8GB + monkeypatch.setattr( + "ray._private.utils.get_shared_memory_bytes", lambda: 4 * 1024**3 + ) # 4GB + + spec = ResourceAndLabelSpec() + spec.resolve(is_head=True) + + assert spec.resolved() + + # Validate all fields are set based on defaults or calls to system. + assert spec.num_cpus == 4 + assert spec.num_gpus == 0 + assert isinstance(spec.labels, dict) + assert HEAD_NODE_RESOURCE_NAME in spec.resources + assert any(key.startswith(NODE_ID_PREFIX) for key in spec.resources.keys()) + + # object_store_memory = 8GB * DEFAULT_OBJECT_STORE_MEMORY_PROPORTION + expected_object_store = int( + 8 * 1024**3 * ray_constants.DEFAULT_OBJECT_STORE_MEMORY_PROPORTION + ) + assert spec.object_store_memory == expected_object_store + + # memory is total available memory - object_store_memory + expected_memory = 8 * 1024**3 - expected_object_store + assert spec.memory == expected_memory + + +def test_env_resource_overrides_with_conflict(monkeypatch): + """Validate that RESOURCES_ENVIRONMENT_VARIABLE overrides Ray Param resources.""" + # Prepare environment overrides + env_resources = { + "CPU": 8, + "GPU": 4, + "TPU": 4, + } + monkeypatch.setenv( + ray_constants.RESOURCES_ENVIRONMENT_VARIABLE, json.dumps(env_resources) + ) + + ray_params_resources = {"TPU": 8, "B200": 4} + + # num_cpus, num_gpus, and conflicting resources should override + spec = ResourceAndLabelSpec( + num_cpus=2, + num_gpus=1, + resources=ray_params_resources, + labels={}, + ) + + spec.resolve(is_head=True) + + # Environment overrides values take precedence after resolve + assert spec.num_cpus == 8 + assert spec.num_gpus == 4 + assert spec.resources["TPU"] == 4 + assert spec.resources["B200"] == 4 + + +def test_to_resource_dict_with_invalid_types(): + """Validate malformed resource values raise ValueError from to_resource_dict().""" + spec = ResourceAndLabelSpec( + num_cpus=1, + num_gpus=1, + memory=1_000, + object_store_memory=1_000, + resources={"INVALID": -5}, # Invalid + labels={}, + ) + spec.resolve(is_head=True, node_ip_address="127.0.0.1") + with pytest.raises(ValueError): + spec.to_resource_dict() + + +def test_resolve_memory_resources(monkeypatch): + """Validate that resolve correctly sets system object_store memory and + raises ValueError when configured memory is too low.""" + # object_store_memory capped at 95% of shm size to avoid low performance. + monkeypatch.setattr( + "ray._common.utils.get_system_memory", lambda: 2 * 1024**3 + ) # 2 GB + monkeypatch.setattr( + "ray._private.utils.estimate_available_memory", lambda: 1 * 1024**3 + ) # 2 GB + monkeypatch.setattr( + "ray._private.utils.get_shared_memory_bytes", lambda: 512 * 1024**2 + ) # 512 MB + + spec1 = ResourceAndLabelSpec() + spec1.resolve(is_head=False) + + max_shm = 512 * 1024**2 * 0.95 + assert spec1.object_store_memory <= max_shm + assert spec1.memory > 0 + + # Low available memory for tasks/actors triggers ValueError. + monkeypatch.setattr( + "ray._common.utils.get_system_memory", lambda: 2 * 1024**3 + ) # 2 GB + monkeypatch.setattr( + "ray._private.utils.estimate_available_memory", lambda: 100 * 1024**2 + ) # 100 MB + monkeypatch.setattr( + "ray._private.utils.get_shared_memory_bytes", lambda: 50 * 1024**2 + ) # 50 MB + + spec2 = ResourceAndLabelSpec() + with pytest.raises(ValueError, match="available for tasks and actors"): + spec2.resolve(is_head=False) + + +def test_resolve_raises_on_reserved_head_resource(): + """resolve should raise a ValueError if HEAD_NODE_RESOURCE_NAME is set in resources.""" + spec = ResourceAndLabelSpec(resources={HEAD_NODE_RESOURCE_NAME: 1}, labels={}) + with pytest.raises(ValueError, match=HEAD_NODE_RESOURCE_NAME): + spec.resolve(is_head=True) + + +def test_resolve_handles_no_accelerators(): + """Check resolve() is able to handle the no accelerators detected case.""" + spec = ResourceAndLabelSpec() + # No accelerators are returned. + with patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=[], + ): + spec.resolve(is_head=False, node_ip_address="test") + + # With no accelerators detected or num_gpus, GPU count should default to 0 + # and the resources dictionary is unchanged. + assert spec.num_gpus == 0 + assert spec.resources == {"node:test": 1} + assert spec.resolved() + + +def test_label_spec_resolve_merged_env_labels(monkeypatch): + """Validate that LABELS_ENVIRONMENT_VARIABLE is merged into final labels.""" + override_labels = {"autoscaler-override-label": "example"} + monkeypatch.setenv( + ray_constants.LABELS_ENVIRONMENT_VARIABLE, json.dumps(override_labels) + ) + spec = ResourceAndLabelSpec() + spec.resolve(is_head=True) + + assert any(key == "autoscaler-override-label" for key in spec.labels) + + +def test_merge_labels_populates_defaults(monkeypatch): + """Ensure default labels (node type, market type, region, zone, accelerator) populate correctly.""" + # Patch Ray K8s label environment vars + monkeypatch.setenv(ray_constants.LABELS_ENVIRONMENT_VARIABLE, "{}") + monkeypatch.setenv("RAY_NODE_TYPE_NAME", "worker-group-1") + monkeypatch.setenv("RAY_NODE_MARKET_TYPE", "spot") + monkeypatch.setenv("RAY_NODE_REGION", "us-west1") + monkeypatch.setenv("RAY_NODE_ZONE", "us-west1-a") + + spec = ResourceAndLabelSpec() + + # AcceleratorManager for node with 1 GPU + with patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=FakeAcceleratorManager("GPU", "A100", 1), + ), patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["GPU"], + ): + spec.resolve(is_head=False) + + # Verify all default labels are present + assert spec.labels.get("ray.io/node-group") == "worker-group-1" + assert spec.labels.get("ray.io/market-type") == "spot" + assert spec.labels.get("ray.io/availability-region") == "us-west1" + assert spec.labels.get("ray.io/availability-zone") == "us-west1-a" + assert spec.labels.get("ray.io/accelerator-type") == "A100" + assert spec.resolved() + + +def test_resolve_raises_if_exceeds_visible_devices(): + """Check that ValueError is raised when requested accelerators exceed visible IDs.""" + spec = ResourceAndLabelSpec() + spec.num_gpus = 3 # request 3 GPUs + + with patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=FakeAcceleratorManager( + "GPU", "A100", num_accelerators=5, visible_ids=2 + ), + ), patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["GPU"], + ): + with pytest.raises(ValueError, match="Attempting to start raylet"): + spec.resolve(is_head=False) + + +def test_resolve_sets_accelerator_resources(): + """Verify that GPUs/TPU values are auto-detected and assigned properly.""" + spec = ResourceAndLabelSpec() + + # Mock a node with GPUs with 4 visible IDs + with patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=FakeAcceleratorManager("GPU", "A100", 4), + ), patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["GPU"], + ): + spec.resolve(is_head=False) + + assert spec.num_gpus == 4 + assert spec.resources.get("accelerator_type:A100") == 1 + + +def test_respect_configured_num_gpus(): + """Ensure manually set num_gpus overrides differing auto-detected accelerator value.""" + # Create a ResourceAndLabelSpec with num_gpus=2 from Ray Params. + spec = ResourceAndLabelSpec(num_gpus=2) + # Mock a node with GPUs with 4 visible IDs + with patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=FakeAcceleratorManager("GPU", "A100", 4), + ), patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["GPU"], + ): + spec.resolve(is_head=False) + + assert spec.num_gpus == 2, ( + f"Expected manually set num_gpus=2 to take precedence over auto-detected value, " + f"but got {spec.num_gpus}" + ) + # Accelerator type key should be set in resources. + assert spec.resources.get("accelerator_type:A100") == 1 + + +def test_resolve_sets_non_gpu_accelerator(): + """Verify that non-GPU accelerators are added to resources. Non-GPU accelerators + should not alter the value of num_gpus.""" + spec = ResourceAndLabelSpec() + # Mock accelerator manager to return a TPU v6e accelerator + with patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=FakeAcceleratorManager("TPU", "TPU-v6e", 2, {"TPU-v6e-8-HEAD": 1}), + ), patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["TPU"], + ): + spec.resolve(is_head=False) + + # num_gpus should default to 0 + assert spec.num_gpus == 0 + assert spec.resources["TPU"] == 2 + assert spec.resources["TPU-v6e-8-HEAD"] == 1 + # Accelerator type label is present + assert spec.labels.get("ray.io/accelerator-type") == "TPU-v6e" + assert spec.resolved() + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/common/constants.h b/src/ray/common/constants.h index edac51c437f3..d940741a51f9 100644 --- a/src/ray/common/constants.h +++ b/src/ray/common/constants.h @@ -76,7 +76,11 @@ constexpr char kGcsAutoscalerClusterConfigKey[] = "__autoscaler_cluster_config"; /// Name for cloud instance id env constexpr char kNodeCloudInstanceIdEnv[] = "RAY_CLOUD_INSTANCE_ID"; +/// ENV keys for Ray node labels constexpr char kNodeTypeNameEnv[] = "RAY_NODE_TYPE_NAME"; +constexpr char kNodeMarketTypeEnv[] = "RAY_NODE_MARKET_TYPE"; +constexpr char kNodeRegionEnv[] = "RAY_NODE_REGION"; +constexpr char kNodeZoneEnv[] = "RAY_NODE_ZONE"; constexpr char kNodeCloudInstanceTypeNameEnv[] = "RAY_CLOUD_INSTANCE_TYPE_NAME"; @@ -96,9 +100,28 @@ constexpr char kLibraryPathEnvName[] = "PATH"; constexpr char kLibraryPathEnvName[] = "LD_LIBRARY_PATH"; #endif +/// Default node label keys populated by the Raylet #define RAY_LABEL_KEY_PREFIX "ray.io/" -/// Default node label key: node_id -constexpr char kLabelKeyNodeID[] = RAY_LABEL_KEY_PREFIX "node_id"; + +// The unique ID assigned to this node by the Raylet. +constexpr char kLabelKeyNodeID[] = RAY_LABEL_KEY_PREFIX "node-id"; + +// The accelerator type associated with the Ray node (e.g., "A100"). +constexpr char kLabelKeyNodeAcceleratorType[] = RAY_LABEL_KEY_PREFIX "accelerator-type"; + +// The market type of the cloud instance this Ray node runs on (e.g., "on-demand" or +// "spot"). +constexpr char kLabelKeyNodeMarketType[] = RAY_LABEL_KEY_PREFIX "market-type"; + +// The region of the cloud instance this Ray node runs on (e.g., "us-central2"). +constexpr char kLabelKeyNodeRegion[] = RAY_LABEL_KEY_PREFIX "availability-region"; + +// The zone of the cloud instance this Ray node runs on (e.g., "us-central2-b"). +constexpr char kLabelKeyNodeZone[] = RAY_LABEL_KEY_PREFIX "availability-zone"; + +// The name of the head or worker group this Ray node is a part of. +constexpr char kLabelKeyNodeGroup[] = RAY_LABEL_KEY_PREFIX "node-group"; + #undef RAY_LABEL_KEY_PREFIX /// All nodes implicitly have resources with this prefix and the quantity is 1. From 7b15aa8b830989d75a7566079811a90578b6cfcd Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 30 Jul 2025 05:11:05 +0800 Subject: [PATCH 0382/1566] [Doc] Fix newline character display issue in data-internals (#54883) ## Why are these changes needed? As title said Before image After image ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Potato Signed-off-by: Douglas Strodtman --- doc/source/data/data-internals.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/data/data-internals.rst b/doc/source/data/data-internals.rst index 6e9d4e942d74..d3d3917f429d 100644 --- a/doc/source/data/data-internals.rst +++ b/doc/source/data/data-internals.rst @@ -129,7 +129,7 @@ Range-partitioning based shuffle also is a classical algorithm, based on the dat the real ranges of the totally ordered (sorted) dataset. 1. **Sampling phase:** every input block is randomly sampled for (10) rows. Samples are combined into a single dataset, which is then sorted and split into -target number of partitions defining approximate *range boundaries*. + target number of partitions defining approximate *range boundaries*. 2. **Partition phase:** every block is sorted and split into partitions based on the *range boundaries* derived in the previous step. 3. **Reduce phase:** individual partitions within the same range are then recombined to produce the resulting block. From ef2cbea4c9932a9fd99b0be36d6f8856f0bc3794 Mon Sep 17 00:00:00 2001 From: coqian <1136656767@qq.com> Date: Tue, 29 Jul 2025 16:32:01 -0700 Subject: [PATCH 0383/1566] [Dashboard] Do not store cache to prevent issues where dashboard does not load (#55017) Signed-off-by: cong.qian Signed-off-by: Douglas Strodtman --- python/ray/dashboard/http_server_head.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/dashboard/http_server_head.py b/python/ray/dashboard/http_server_head.py index 1a986b3bf5fa..e9b8ca2ef08d 100644 --- a/python/ray/dashboard/http_server_head.py +++ b/python/ray/dashboard/http_server_head.py @@ -135,7 +135,7 @@ async def get_index(self, req) -> aiohttp.web.FileResponse: os.path.dirname(os.path.abspath(__file__)), "client/build/index.html" ) ) - resp.headers["Cache-Control"] = "no-cache" + resp.headers["Cache-Control"] = "no-store" return resp @routes.get("/favicon.ico") From d9df5b0f129a868c4850f1697b292ab898b3ce83 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 29 Jul 2025 17:27:08 -0700 Subject: [PATCH 0384/1566] [core] Enforce use of raylet client pool (#54925) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- BUILD.bazel | 12 +- src/fakes/ray/rpc/raylet/raylet_client.h | 138 ++++++++++++++++++ src/mock/ray/raylet_client/raylet_client.h | 5 + src/ray/core_worker/core_worker.cc | 37 ++--- src/ray/core_worker/core_worker.h | 3 + .../experimental_mutable_object_provider.cc | 15 +- .../experimental_mutable_object_provider.h | 10 +- .../core_worker/object_recovery_manager.cc | 5 +- src/ray/core_worker/object_recovery_manager.h | 18 +-- src/ray/core_worker/test/BUILD.bazel | 3 + .../test/mutable_object_provider_test.cc | 25 ++-- .../test/normal_task_submitter_test.cc | 41 ++++-- .../test/object_recovery_manager_test.cc | 8 +- .../transport/normal_task_submitter.cc | 9 +- .../transport/normal_task_submitter.h | 26 ++-- .../core_worker/transport/scheduling_util.cc | 2 +- .../core_worker/transport/scheduling_util.h | 4 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 4 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 8 +- .../gcs_autoscaler_state_manager.cc | 2 +- .../gcs_server/gcs_autoscaler_state_manager.h | 6 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 6 +- .../gcs_placement_group_scheduler.cc | 7 +- .../gcs_placement_group_scheduler.h | 13 +- src/ray/gcs/gcs_server/gcs_server.cc | 3 +- src/ray/gcs/gcs_server/gcs_server.h | 4 +- src/ray/gcs/gcs_server/test/BUILD.bazel | 1 + .../gcs_node_manager_export_event_test.cc | 6 +- .../test/gcs_actor_scheduler_mock_test.cc | 4 +- .../test/gcs_actor_scheduler_test.cc | 4 +- .../test/gcs_autoscaler_state_manager_test.cc | 4 +- .../gcs_server/test/gcs_node_manager_test.cc | 6 +- .../gcs_placement_group_scheduler_test.cc | 4 +- .../gcs_server/test/gcs_server_test_util.h | 71 +-------- src/ray/raylet/main.cc | 22 +-- src/ray/raylet/node_manager.cc | 9 +- src/ray/raylet/node_manager.h | 4 + src/ray/raylet/test/node_manager_test.cc | 5 +- src/ray/raylet_client/raylet_client.h | 88 ++--------- ...r_client_pool.cc => raylet_client_pool.cc} | 8 +- ...ger_client_pool.h => raylet_client_pool.h} | 6 +- src/ray/rpc/worker/core_worker_client_pool.cc | 17 +-- src/ray/rpc/worker/core_worker_client_pool.h | 4 +- .../test/core_worker_client_pool_test.cc | 21 ++- 45 files changed, 367 insertions(+), 333 deletions(-) create mode 100644 src/fakes/ray/rpc/raylet/raylet_client.h rename src/ray/rpc/node_manager/{node_manager_client_pool.cc => raylet_client_pool.cc} (85%) rename src/ray/rpc/node_manager/{node_manager_client_pool.h => raylet_client_pool.h} (94%) diff --git a/BUILD.bazel b/BUILD.bazel index a4128a64671e..df1352b5f5e2 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -255,11 +255,11 @@ cc_grpc_library( # Node manager server and client. ray_cc_library( name = "node_manager_rpc", - srcs = ["src/ray/rpc/node_manager/node_manager_client_pool.cc"], + srcs = ["src/ray/rpc/node_manager/raylet_client_pool.cc"], hdrs = [ "src/ray/rpc/node_manager/node_manager_client.h", - "src/ray/rpc/node_manager/node_manager_client_pool.h", "src/ray/rpc/node_manager/node_manager_server.h", + "src/ray/rpc/node_manager/raylet_client_pool.h", ], deps = [ ":grpc_common_lib", @@ -427,6 +427,14 @@ ray_cc_library( ), ) +ray_cc_library( + name = "ray_fakes", + hdrs = glob(["src/fakes/**/*.h"]), + deps = [ + "//src/ray/raylet_client:raylet_client_lib", + ], +) + ray_cc_library( name = "ray_mock_syncer", hdrs = ["src/mock/ray/common/ray_syncer/ray_syncer.h"], diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h new file mode 100644 index 000000000000..2a2ddcb068bf --- /dev/null +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -0,0 +1,138 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/raylet_client/raylet_client.h" + +namespace ray { + +class FakeRayletClient : public RayletClientInterface { + public: + void PinObjectIDs( + const rpc::Address &caller_address, + const std::vector &object_ids, + const ObjectID &generator_id, + const ray::rpc::ClientCallback &callback) override {} + + void RequestWorkerLease( + const rpc::TaskSpec &task_spec, + bool grant_or_reject, + const ray::rpc::ClientCallback &callback, + const int64_t backlog_size = -1, + const bool is_selected_based_on_locality = false) override {} + + ray::Status ReturnWorker(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { + return Status::OK(); + } + + void PrestartWorkers( + const rpc::PrestartWorkersRequest &request, + const rpc::ClientCallback &callback) override {} + + void ReleaseUnusedActorWorkers( + const std::vector &workers_in_use, + const rpc::ClientCallback &callback) override { + } + + void CancelWorkerLease( + const TaskID &task_id, + const rpc::ClientCallback &callback) override {} + + void PrepareBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback &callback) + override {} + + void CommitBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback &callback) + override {} + + void CancelResourceReserve( + const BundleSpecification &bundle_spec, + const ray::rpc::ClientCallback &callback) + override {} + + void ReleaseUnusedBundles( + const std::vector &bundles_in_use, + const rpc::ClientCallback &callback) override {} + + ray::Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) override { + return Status::OK(); + } + + void ReportWorkerBacklog( + const WorkerID &worker_id, + const std::vector &backlog_reports) override {} + + void GetResourceLoad( + const rpc::ClientCallback &callback) override {} + + void RegisterMutableObjectReader( + const ObjectID &writer_object_id, + int64_t num_readers, + const ObjectID &reader_object_id, + const rpc::ClientCallback &callback) override {} + + void PushMutableObject( + const ObjectID &writer_object_id, + uint64_t data_size, + uint64_t metadata_size, + void *data, + void *metadata, + const rpc::ClientCallback &callback) override {} + + void GetTaskFailureCause( + const TaskID &task_id, + const rpc::ClientCallback &callback) override {} + + void GetSystemConfig( + const rpc::ClientCallback &callback) override {} + + void NotifyGCSRestart( + const rpc::ClientCallback &callback) override {} + + void ShutdownRaylet( + const NodeID &node_id, + bool graceful, + const rpc::ClientCallback &callback) override {} + + void DrainRaylet(const rpc::autoscaler::DrainNodeReason &reason, + const std::string &reason_message, + int64_t deadline_timestamp_ms, + const rpc::ClientCallback &callback) override {} + + void CancelTasksWithResourceShapes( + const std::vector> &resource_shapes, + const rpc::ClientCallback &callback) + override {} + + void IsLocalWorkerDead( + const WorkerID &worker_id, + const rpc::ClientCallback &callback) override {} + + std::shared_ptr GetChannel() const override { return nullptr; } + + void GetNodeStats( + const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback) override {} +}; + +} // namespace ray diff --git a/src/mock/ray/raylet_client/raylet_client.h b/src/mock/ray/raylet_client/raylet_client.h index 328d5176263b..d638862ef26c 100644 --- a/src/mock/ray/raylet_client/raylet_client.h +++ b/src/mock/ray/raylet_client/raylet_client.h @@ -145,6 +145,11 @@ class MockRayletClientInterface : public RayletClientInterface { (const WorkerID &worker_id, const rpc::ClientCallback &callback), (override)); + MOCK_METHOD(void, + GetNodeStats, + (const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback), + (override)); }; } // namespace ray diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 7f5ea54c0db0..f61ef280de19 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -487,6 +487,7 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) RAY_CHECK(!task_event_buffer_->Enabled()) << "TaskEventBuffer should be disabled."; } } + core_worker_client_pool_ = std::make_shared([&](const rpc::Address &addr) { return std::make_shared( @@ -495,13 +496,12 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( gcs_client_.get(), core_worker_client_pool_.get(), - [this](const std::string &node_manager_address, int32_t port) { - return std::make_shared( - node_manager_address, port, *client_call_manager_); - }, + raylet_client_pool_.get(), addr)); }); + raylet_client_pool_ = std::make_shared(*client_call_manager_); + object_info_publisher_ = std::make_unique( /*channels=*/ std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, @@ -602,17 +602,15 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) }); #if defined(__APPLE__) || defined(__linux__) - // TODO(jhumphri): Combine with implementation in NodeManager. - // TODO(jhumphri): Pool these connections with the other clients in CoreWorker connected - // to the raylet. - auto raylet_channel_client_factory = - [this](const NodeID &node_id, rpc::ClientCallManager &client_call_manager) { - auto node_info = gcs_client_->Nodes().Get(node_id); - RAY_CHECK(node_info) << "No GCS info for node " << node_id; - return std::make_shared(node_info->node_manager_address(), - node_info->node_manager_port(), - client_call_manager); - }; + auto raylet_channel_client_factory = [this](const NodeID &node_id) { + auto node_info = gcs_client_->Nodes().Get(node_id); + RAY_CHECK(node_info) << "No GCS info for node " << node_id; + ray::rpc::Address addr; + addr.set_ip_address(node_info->node_manager_address()); + addr.set_port(node_info->node_manager_port()); + addr.set_raylet_id(node_id.Binary()); + return raylet_client_pool_->GetOrConnectByAddress(addr); + }; experimental_mutable_object_provider_ = std::make_shared( *plasma_store_provider_->store_client(), @@ -707,11 +705,6 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) } } - auto raylet_client_factory = [this](const std::string &ip_address, int port) { - return std::make_shared( - ip_address, port, *client_call_manager_); - }; - auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { auto timestamp = std::chrono::duration_cast( std::chrono::system_clock::now().time_since_epoch()) @@ -762,7 +755,7 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) rpc_address_, local_raylet_client_, core_worker_client_pool_, - raylet_client_factory, + raylet_client_pool_, std::move(lease_policy), memory_store_, *task_manager_, @@ -821,7 +814,7 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) }; object_recovery_manager_ = std::make_unique( rpc_address_, - raylet_client_factory, + raylet_client_pool_, local_raylet_client_, object_lookup_fn, *task_manager_, diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 2a4c70d9cc79..aa78a2746e33 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1730,6 +1730,9 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Shared core worker client pool. std::shared_ptr core_worker_client_pool_; + // Shared raylet client pool. + std::shared_ptr raylet_client_pool_; + /// The runner to run function periodically. std::shared_ptr periodical_runner_; diff --git a/src/ray/core_worker/experimental_mutable_object_provider.cc b/src/ray/core_worker/experimental_mutable_object_provider.cc index 709ea81a18e3..ff5d2addac85 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.cc +++ b/src/ray/core_worker/experimental_mutable_object_provider.cc @@ -23,12 +23,12 @@ namespace core { namespace experimental { MutableObjectProvider::MutableObjectProvider(plasma::PlasmaClientInterface &plasma, - RayletFactory factory, + RayletFactory raylet_client_factory, std::function check_signals) : plasma_(plasma), object_manager_(std::make_shared( std::move(check_signals))), - raylet_client_factory_(std::move(std::move(factory))) {} + raylet_client_factory_(std::move(raylet_client_factory)) {} MutableObjectProvider::~MutableObjectProvider() { for (std::unique_ptr>> - remote_readers = - std::make_shared>>(); + std::shared_ptr>> remote_readers = + std::make_shared>>(); // TODO(sang): Currently, these attributes are not cleaned up. // Start a thread that repeatedly listens for values on this object and then sends // them via RPC to the remote reader. @@ -74,9 +73,7 @@ void MutableObjectProvider::RegisterWriterChannel( for (const auto &node_id : remote_reader_node_ids) { client_call_managers_.push_back( std::make_unique(io_context, /*record_stats=*/false)); - std::shared_ptr reader = - raylet_client_factory_(node_id, *client_call_managers_.back()); - RAY_CHECK(reader); + std::shared_ptr reader = raylet_client_factory_(node_id); remote_readers->push_back(reader); } @@ -218,7 +215,7 @@ Status MutableObjectProvider::GetChannelStatus(const ObjectID &object_id, void MutableObjectProvider::PollWriterClosure( instrumented_io_context &io_context, const ObjectID &writer_object_id, - const std::shared_ptr>> + const std::shared_ptr>> &remote_readers) { // NOTE: There's only 1 PollWriterClosure at any time in a single thread. std::shared_ptr object; diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index aaece9377547..70848bc2ac5c 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -141,8 +141,8 @@ class MutableObjectProviderInterface { class MutableObjectProvider : public MutableObjectProviderInterface { public: - using RayletFactory = std::function( - const NodeID &, rpc::ClientCallManager &)>; + using RayletFactory = + std::function(const NodeID &)>; MutableObjectProvider(plasma::PlasmaClientInterface &plasma, RayletFactory factory, @@ -197,7 +197,7 @@ class MutableObjectProvider : public MutableObjectProviderInterface { void PollWriterClosure( instrumented_io_context &io_context, const ObjectID &writer_object_id, - const std::shared_ptr>> + const std::shared_ptr>> &remote_readers); // Kicks off `io_context`. @@ -220,9 +220,7 @@ class MutableObjectProvider : public MutableObjectProviderInterface { // Creates a Raylet client for each mutable object. When the polling thread detects a // write to the mutable object, this client sends the updated mutable object via RPC to // the Raylet on the remote node. - std::function( - const NodeID &node_id, rpc::ClientCallManager &client_call_manager)> - raylet_client_factory_; + RayletFactory raylet_client_factory_; // Each mutable object that requires inter-node communication has its own thread and // event loop. Thus, all of the objects below are vectors, with each vector index diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 5b96fa3fd5db..a6c84199b027 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -115,7 +115,7 @@ void ObjectRecoveryManager::PinExistingObjectCopy( RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) << "Trying to pin copy of lost object at node"; - std::shared_ptr client; + std::shared_ptr client; if (node_id == NodeID::FromBinary(rpc_address_.raylet_id())) { client = local_object_pinning_client_; } else { @@ -125,8 +125,7 @@ void ObjectRecoveryManager::PinExistingObjectCopy( RAY_LOG(DEBUG).WithField(node_id) << "Connecting to raylet"; client_it = remote_object_pinning_clients_ .emplace(node_id, - client_factory_(raylet_address.ip_address(), - raylet_address.port())) + raylet_client_pool_->GetOrConnectByAddress(raylet_address)) .first; } client = client_it->second; diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index 8b35848728e7..d006832c9ee7 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -26,13 +26,11 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" #include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" namespace ray { namespace core { -using ObjectPinningClientFactoryFn = std::function( - const std::string &ip_address, int port)>; - using ObjectLookupCallback = std::function raylet_locations)>; @@ -44,8 +42,8 @@ class ObjectRecoveryManager { public: ObjectRecoveryManager( rpc::Address rpc_address, - ObjectPinningClientFactoryFn client_factory, - std::shared_ptr local_object_pinning_client, + std::shared_ptr raylet_client_pool, + std::shared_ptr local_object_pinning_client, std::function object_lookup, TaskManagerInterface &task_manager, @@ -55,7 +53,7 @@ class ObjectRecoveryManager { : task_manager_(task_manager), reference_counter_(reference_counter), rpc_address_(std::move(rpc_address)), - client_factory_(std::move(client_factory)), + raylet_client_pool_(std::move(raylet_client_pool)), local_object_pinning_client_(std::move(local_object_pinning_client)), object_lookup_(std::move(object_lookup)), in_memory_store_(in_memory_store), @@ -120,11 +118,11 @@ class ObjectRecoveryManager { /// Address of our RPC server. rpc::Address rpc_address_; - /// Factory for producing new clients to pin objects at remote nodes. - ObjectPinningClientFactoryFn client_factory_; + /// Raylet client pool for producing new clients to pin objects at remote nodes. + std::shared_ptr raylet_client_pool_; // Client that can be used to pin objects from the local raylet. - std::shared_ptr local_object_pinning_client_; + std::shared_ptr local_object_pinning_client_; /// Function to lookup an object's locations from the global database. std::function @@ -140,7 +138,7 @@ class ObjectRecoveryManager { mutable absl::Mutex mu_; /// Cache of gRPC clients to remote raylets for pinning objects. - absl::flat_hash_map> + absl::flat_hash_map> remote_object_pinning_clients_ ABSL_GUARDED_BY(mu_); /// Objects that are currently pending recovery. Calls to RecoverObject for diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index 926986e7f223..f5e62cf7543a 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -103,6 +103,7 @@ ray_cc_test( srcs = ["normal_task_submitter_test.cc"], tags = ["team:core"], deps = [ + "//:ray_fakes", "//:ray_mock", "//:worker_rpc", "//src/ray/common:task_common", @@ -138,6 +139,7 @@ ray_cc_test( srcs = ["object_recovery_manager_test.cc"], tags = ["team:core"], deps = [ + "//:ray_fakes", "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", @@ -359,6 +361,7 @@ ray_cc_test( "//conditions:default": ["@platforms//:incompatible"], }), deps = [ + "//:ray_fakes", "//:ray_mock", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/object_manager:object_manager_common", diff --git a/src/ray/core_worker/test/mutable_object_provider_test.cc b/src/ray/core_worker/test/mutable_object_provider_test.cc index f2a049c4b65b..eb4ea42f394f 100644 --- a/src/ray/core_worker/test/mutable_object_provider_test.cc +++ b/src/ray/core_worker/test/mutable_object_provider_test.cc @@ -21,6 +21,7 @@ #include "absl/functional/bind_front.h" #include "absl/random/random.h" #include "absl/strings/str_format.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/object_manager/plasma/client.h" @@ -73,15 +74,9 @@ class TestPlasma : public plasma::MockPlasmaClient { std::unordered_set objects_; }; -class TestInterface : public MutableObjectReaderInterface { +class MockRayletClient : public FakeRayletClient { public: - virtual ~TestInterface() {} - - void RegisterMutableObjectReader( - const ObjectID &object_id, - int64_t num_readers, - const ObjectID &local_reader_object_id, - const rpc::ClientCallback &callback) override {} + virtual ~MockRayletClient() {} void PushMutableObject( const ObjectID &object_id, @@ -104,10 +99,8 @@ class TestInterface : public MutableObjectReaderInterface { std::vector pushed_objects_; }; -std::shared_ptr GetTestInterface( - std::shared_ptr &interface, - const NodeID &node_id, - rpc::ClientCallManager &client_call_manager) { +std::shared_ptr GetMockRayletClient( + std::shared_ptr &interface, const NodeID &node_id) { return interface; } @@ -117,11 +110,11 @@ TEST(MutableObjectProvider, RegisterWriterChannel) { ObjectID object_id = ObjectID::FromRandom(); NodeID node_id = NodeID::FromRandom(); auto plasma = std::make_unique(); - auto interface = std::make_shared(); + auto interface = std::make_shared(); MutableObjectProvider provider( *plasma, - /*factory=*/absl::bind_front(GetTestInterface, interface), + /*factory=*/absl::bind_front(GetMockRayletClient, interface), nullptr); provider.RegisterWriterChannel(object_id, {node_id}); @@ -184,11 +177,11 @@ TEST(MutableObjectProvider, HandlePushMutableObject) { ObjectID object_id = ObjectID::FromRandom(); ObjectID local_object_id = ObjectID::FromRandom(); auto plasma = std::make_unique(); - auto interface = std::make_shared(); + auto interface = std::make_shared(); MutableObjectProvider provider( *plasma, - /*factory=*/absl::bind_front(GetTestInterface, interface), + /*factory=*/absl::bind_front(GetMockRayletClient, interface), nullptr); provider.HandleRegisterMutableObject(object_id, /*num_readers=*/1, local_object_id); diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index c65a948b7474..8752111cbd4d 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -22,6 +22,7 @@ #include #include +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/memory_store.h" #include "mock/ray/core_worker/task_manager_interface.h" @@ -213,7 +214,7 @@ class MockTaskManager : public MockTaskManagerInterface { int num_generator_failed_and_resubmitted = 0; }; -class MockRayletClient : public WorkerLeaseInterface { +class MockRayletClient : public FakeRayletClient { public: Status ReturnWorker(int worker_port, const WorkerID &worker_id, @@ -272,11 +273,10 @@ class MockRayletClient : public WorkerLeaseInterface { } callbacks.push_back(callback); } + void PrestartWorkers( const rpc::PrestartWorkersRequest &request, - const rpc::ClientCallback &callback) override { - RAY_LOG(FATAL) << "Not implemented"; - } + const rpc::ClientCallback &callback) override {} void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, @@ -460,11 +460,13 @@ TaskSpecification WithRandomTaskId(const TaskSpecification &task_spec) { class NormalTaskSubmitterTest : public testing::Test { public: NormalTaskSubmitterTest() - : raylet_client(std::make_shared()), + : raylet_client_pool(std::make_shared( + [](const rpc::Address &) { return std::make_shared(); })), + raylet_client(std::make_shared()), worker_client(std::make_shared()), store(DefaultCoreWorkerMemoryStoreWithThread::CreateShared()), client_pool(std::make_shared( - [&](const rpc::Address &addr) { return worker_client; })), + [&](const rpc::Address &) { return worker_client; })), task_manager(std::make_unique()), actor_creator(std::make_shared()), lease_policy(std::make_unique()), @@ -473,18 +475,25 @@ class NormalTaskSubmitterTest : public testing::Test { NormalTaskSubmitter CreateNormalTaskSubmitter( std::shared_ptr rate_limiter, WorkerType worker_type = WorkerType::WORKER, - LeaseClientFactoryFn lease_client_factory = nullptr, + std::function(const rpc::Address &)> + lease_client_factory = nullptr, std::shared_ptr custom_memory_store = nullptr, int64_t lease_timeout_ms = kLongTimeout, NodeID local_raylet_id = NodeID::Nil()) { if (custom_memory_store != nullptr) { store = custom_memory_store; } + if (lease_client_factory == nullptr) { + raylet_client_pool = std::make_shared( + [](const rpc::Address &) { return std::make_shared(); }); + } else { + raylet_client_pool = std::make_shared(lease_client_factory); + } return NormalTaskSubmitter( address, raylet_client, client_pool, - lease_client_factory, + raylet_client_pool, std::move(lease_policy), store, *task_manager, @@ -499,6 +508,7 @@ class NormalTaskSubmitterTest : public testing::Test { } rpc::Address address; + std::shared_ptr raylet_client_pool; std::shared_ptr raylet_client; std::shared_ptr worker_client; std::shared_ptr store; @@ -922,7 +932,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) auto submitter = CreateNormalTaskSubmitter( rateLimiter, WorkerType::WORKER, - /*lease_client_factory*/ [&](const std::string &, int) { return raylet_client; }); + /*lease_client_factory*/ [&](const rpc::Address &addr) { return raylet_client; }); std::vector tasks; for (int i = 0; i < 2 * concurrency; i++) { @@ -1265,11 +1275,10 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { TEST_F(NormalTaskSubmitterTest, TestSpillback) { absl::flat_hash_map> remote_lease_clients; - LeaseClientFactoryFn lease_client_factory = [&remote_lease_clients]( - const std::string &ip, int port) { - RAY_CHECK(remote_lease_clients.count(port) == 0); + auto lease_client_factory = [&remote_lease_clients](const rpc::Address &addr) { + RAY_CHECK(remote_lease_clients.count(addr.port()) == 0); auto client = std::make_shared(); - remote_lease_clients[port] = client; + remote_lease_clients[addr.port()] = client; return client; }; auto submitter = @@ -1319,11 +1328,11 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { absl::flat_hash_map> remote_lease_clients; - auto lease_client_factory = [&](const std::string &ip, int port) { + auto lease_client_factory = [&](const rpc::Address &addr) { // We should not create a connection to the same raylet more than once. - RAY_CHECK(remote_lease_clients.count(port) == 0); + RAY_CHECK(remote_lease_clients.count(addr.port()) == 0); auto client = std::make_shared(); - remote_lease_clients[port] = client; + remote_lease_clients[addr.port()] = client; return client; }; auto local_raylet_id = NodeID::FromRandom(); diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index d849964e159c..23d6b93fe144 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -20,6 +20,7 @@ #include #include +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/task_manager_interface.h" @@ -65,7 +66,7 @@ class MockTaskManager : public MockTaskManagerInterface { int num_tasks_resubmitted = 0; }; -class MockRayletClient : public PinObjectsInterface { +class MockRayletClient : public FakeRayletClient { public: void PinObjectIDs( const rpc::Address &caller_address, @@ -128,6 +129,8 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { object_directory_(std::make_shared()), memory_store_( std::make_shared(io_context_.GetIoService())), + raylet_client_pool_(std::make_shared( + [&](const rpc::Address &) { return raylet_client_; })), raylet_client_(std::make_shared()), task_manager_(std::make_shared()), ref_counter_(std::make_shared( @@ -138,7 +141,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { /*lineage_pinning_enabled=*/lineage_enabled)), manager_( rpc::Address(), - [&](const std::string &ip, int port) { return raylet_client_; }, + raylet_client_pool_, raylet_client_, [&](const ObjectID &object_id, const ObjectLookupCallback &callback) { object_directory_->AsyncGetLocations(object_id, callback); @@ -180,6 +183,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { std::shared_ptr subscriber_; std::shared_ptr object_directory_; std::shared_ptr memory_store_; + std::shared_ptr raylet_client_pool_; std::shared_ptr raylet_client_; std::shared_ptr task_manager_; std::shared_ptr ref_counter_; diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 0294456783bd..923d07b64eb1 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -88,7 +88,7 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { void NormalTaskSubmitter::AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr lease_client, + std::shared_ptr lease_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const TaskID &task_id) { @@ -225,9 +225,9 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul } } -std::shared_ptr NormalTaskSubmitter::GetOrConnectLeaseClient( +std::shared_ptr NormalTaskSubmitter::GetOrConnectLeaseClient( const rpc::Address *raylet_address) { - std::shared_ptr lease_client; + std::shared_ptr lease_client; RAY_CHECK(raylet_address != nullptr); if (NodeID::FromBinary(raylet_address->raylet_id()) != local_raylet_id_) { // A remote raylet was specified. Connect to the raylet if needed. @@ -237,8 +237,7 @@ std::shared_ptr NormalTaskSubmitter::GetOrConnectLeaseClie RAY_LOG(INFO) << "Connecting to raylet " << raylet_id; it = remote_lease_clients_ .emplace(raylet_id, - lease_client_factory_(raylet_address->ip_address(), - raylet_address->port())) + raylet_client_pool_->GetOrConnectByAddress(*raylet_address)) .first; } lease_client = it->second; diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index e544cfd1f990..40a2418f7ae4 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -33,15 +33,13 @@ #include "ray/core_worker/transport/dependency_resolver.h" #include "ray/core_worker/transport/task_receiver.h" #include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { namespace core { -using LeaseClientFactoryFn = - std::function(const std::string &, int)>; - // The task queues are keyed on resource shape & function descriptor // (encapsulated in SchedulingClass) to defer resource allocation decisions to the raylet // and ensure fairness between different tasks, as well as plasma task dependencies as @@ -80,9 +78,9 @@ class NormalTaskSubmitter { public: explicit NormalTaskSubmitter( rpc::Address rpc_address, - std::shared_ptr lease_client, + std::shared_ptr lease_client, std::shared_ptr core_worker_client_pool, - LeaseClientFactoryFn lease_client_factory, + std::shared_ptr raylet_client_pool, std::unique_ptr lease_policy, std::shared_ptr store, TaskManagerInterface &task_manager, @@ -96,7 +94,7 @@ class NormalTaskSubmitter { boost::asio::steady_timer cancel_timer) : rpc_address_(std::move(rpc_address)), local_lease_client_(std::move(lease_client)), - lease_client_factory_(std::move(lease_client_factory)), + raylet_client_pool_(std::move(raylet_client_pool)), lease_policy_(std::move(lease_policy)), resolver_(*store, task_manager, *actor_creator, tensor_transport_getter), task_manager_(task_manager), @@ -178,7 +176,7 @@ class NormalTaskSubmitter { /// Get an existing lease client or connect a new one. If a raylet_address is /// provided, this connects to a remote raylet. Else, this connects to the /// local raylet. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectLeaseClient( const rpc::Address *raylet_address) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); /// Report worker backlog information to the local raylet @@ -207,7 +205,7 @@ class NormalTaskSubmitter { /// Set up client state for newly granted worker lease. void AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr lease_client, + std::shared_ptr lease_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const TaskID &task_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); @@ -250,14 +248,14 @@ class NormalTaskSubmitter { rpc::Address rpc_address_; // Client that can be used to lease and return workers from the local raylet. - std::shared_ptr local_lease_client_; + std::shared_ptr local_lease_client_; /// Cache of gRPC clients to remote raylets. - absl::flat_hash_map> remote_lease_clients_ - ABSL_GUARDED_BY(mu_); + absl::flat_hash_map> + remote_lease_clients_ ABSL_GUARDED_BY(mu_); - /// Factory for producing new clients to request leases from remote nodes. - LeaseClientFactoryFn lease_client_factory_; + /// Raylet client pool for producing new clients to request leases from remote nodes. + std::shared_ptr raylet_client_pool_; /// Provider of worker leasing decisions for the first lease request (not on /// spillback). @@ -296,7 +294,7 @@ class NormalTaskSubmitter { /// (6) The SchedulingKey assigned to tasks that will be sent to the worker /// (7) The task id used to obtain the worker lease. struct LeaseEntry { - std::shared_ptr lease_client; + std::shared_ptr lease_client; int64_t lease_expiration_time; google::protobuf::RepeatedPtrField assigned_resources; SchedulingKey scheduling_key; diff --git a/src/ray/core_worker/transport/scheduling_util.cc b/src/ray/core_worker/transport/scheduling_util.cc index a5ef720bdcb3..da56cb91f49c 100644 --- a/src/ray/core_worker/transport/scheduling_util.cc +++ b/src/ray/core_worker/transport/scheduling_util.cc @@ -68,7 +68,7 @@ void InboundRequest::MarkDependenciesResolved() { pending_dependencies_.clear(); const TaskSpecification &InboundRequest::TaskSpec() const { return task_spec_; } -DependencyWaiterImpl::DependencyWaiterImpl(DependencyWaiterInterface &dependency_client) +DependencyWaiterImpl::DependencyWaiterImpl(RayletClientInterface &dependency_client) : dependency_client_(dependency_client) {} void DependencyWaiterImpl::Wait(const std::vector &dependencies, diff --git a/src/ray/core_worker/transport/scheduling_util.h b/src/ray/core_worker/transport/scheduling_util.h index c909ca57de21..53ceddb0bfb3 100644 --- a/src/ray/core_worker/transport/scheduling_util.h +++ b/src/ray/core_worker/transport/scheduling_util.h @@ -71,7 +71,7 @@ class DependencyWaiter { class DependencyWaiterImpl : public DependencyWaiter { public: - explicit DependencyWaiterImpl(DependencyWaiterInterface &dependency_client); + explicit DependencyWaiterImpl(RayletClientInterface &dependency_client); void Wait(const std::vector &dependencies, std::function on_dependencies_available) override; @@ -82,7 +82,7 @@ class DependencyWaiterImpl : public DependencyWaiter { private: int64_t next_request_id_ = 0; absl::flat_hash_map> requests_; - DependencyWaiterInterface &dependency_client_; + RayletClientInterface &dependency_client_; }; } // namespace core diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index 3ded4634ed5b..a5abddeb727f 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -35,7 +35,7 @@ GcsActorScheduler::GcsActorScheduler( ClusterTaskManager &cluster_task_manager, GcsActorSchedulerFailureCallback schedule_failure_handler, GcsActorSchedulerSuccessCallback schedule_success_handler, - rpc::NodeManagerClientPool &raylet_client_pool, + rpc::RayletClientPool &raylet_client_pool, rpc::CoreWorkerClientPool &worker_client_pool, std::function normal_task_resources_changed_callback) @@ -530,7 +530,7 @@ void GcsActorScheduler::DoRetryCreatingActorOnWorker( } } -std::shared_ptr GcsActorScheduler::GetOrConnectLeaseClient( +std::shared_ptr GcsActorScheduler::GetOrConnectLeaseClient( const rpc::Address &raylet_address) { return raylet_client_pool_.GetOrConnectByAddress(raylet_address); } diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index 26a87f52fcfe..8326e901c064 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -32,7 +32,7 @@ #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" @@ -135,7 +135,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { ClusterTaskManager &cluster_task_manager_, GcsActorSchedulerFailureCallback schedule_failure_handler, GcsActorSchedulerSuccessCallback schedule_success_handler, - rpc::NodeManagerClientPool &raylet_client_pool, + rpc::RayletClientPool &raylet_client_pool, rpc::CoreWorkerClientPool &worker_client_pool, std::function normal_task_resources_changed_callback = nullptr); @@ -340,7 +340,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { std::shared_ptr worker); /// Get an existing lease client or connect a new one. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectLeaseClient( const rpc::Address &raylet_address); /// Kill the actor on a node @@ -389,7 +389,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// The nodes which are releasing unused workers. absl::flat_hash_set nodes_of_releasing_unused_workers_; /// The cached raylet clients used to communicate with raylet. - rpc::NodeManagerClientPool &raylet_client_pool_; + rpc::RayletClientPool &raylet_client_pool_; /// Core worker client pool shared by the GCS. rpc::CoreWorkerClientPool &worker_client_pool_; diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index d15c1dfaeec8..c61a51b0c7c5 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -32,7 +32,7 @@ GcsAutoscalerStateManager::GcsAutoscalerStateManager( GcsNodeManager &gcs_node_manager, GcsActorManager &gcs_actor_manager, const GcsPlacementGroupManager &gcs_placement_group_manager, - rpc::NodeManagerClientPool &raylet_client_pool, + rpc::RayletClientPool &raylet_client_pool, InternalKVInterface &kv, instrumented_io_context &io_context, GcsPublisher *gcs_publisher) diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index dbd3f7b2f6f2..6d364641fe08 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -23,7 +23,7 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/gcs_server/gcs_rpc_server.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" @@ -41,7 +41,7 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateHandler GcsNodeManager &gcs_node_manager, GcsActorManager &gcs_actor_manager, const GcsPlacementGroupManager &gcs_placement_group_manager, - rpc::NodeManagerClientPool &raylet_client_pool, + rpc::RayletClientPool &raylet_client_pool, InternalKVInterface &kv, instrumented_io_context &io_context, GcsPublisher *gcs_publisher); @@ -184,7 +184,7 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateHandler const GcsPlacementGroupManager &gcs_placement_group_manager_; /// Raylet client pool. - rpc::NodeManagerClientPool &raylet_client_pool_; + rpc::RayletClientPool &raylet_client_pool_; // Handler for internal KV InternalKVInterface &kv_; diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 88e6ae1a5c3d..3346115a545b 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -35,7 +35,7 @@ namespace gcs { GcsNodeManager::GcsNodeManager(GcsPublisher *gcs_publisher, gcs::GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, - rpc::NodeManagerClientPool *raylet_client_pool, + rpc::RayletClientPool *raylet_client_pool, const ClusterID &cluster_id) : gcs_publisher_(gcs_publisher), gcs_table_storage_(gcs_table_storage), diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 980a84c3a6cc..65a34aa98310 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -36,7 +36,7 @@ #include "ray/rpc/client_call.h" #include "ray/rpc/gcs_server/gcs_rpc_server.h" #include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/event.h" #include "src/ray/protobuf/gcs.pb.h" @@ -56,7 +56,7 @@ class GcsNodeManager : public rpc::NodeInfoHandler { GcsNodeManager(GcsPublisher *gcs_publisher, gcs::GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, - rpc::NodeManagerClientPool *raylet_client_pool, + rpc::RayletClientPool *raylet_client_pool, const ClusterID &cluster_id); /// Handle register rpc request come from raylet. @@ -270,7 +270,7 @@ class GcsNodeManager : public rpc::NodeInfoHandler { gcs::GcsTableStorage *gcs_table_storage_; instrumented_io_context &io_context_; /// Raylet client pool. - rpc::NodeManagerClientPool *raylet_client_pool_ = nullptr; + rpc::RayletClientPool *raylet_client_pool_ = nullptr; /// Cluster ID to be shared with clients when connecting. const ClusterID cluster_id_; diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index fc0430cd4a9e..f2a1aef95938 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -32,7 +32,7 @@ GcsPlacementGroupScheduler::GcsPlacementGroupScheduler( gcs::GcsTableStorage &gcs_table_storage, const gcs::GcsNodeManager &gcs_node_manager, ClusterResourceScheduler &cluster_resource_scheduler, - rpc::NodeManagerClientPool &raylet_client_pool) + rpc::RayletClientPool &raylet_client_pool) : io_context_(io_context), return_timer_(io_context), gcs_table_storage_(gcs_table_storage), @@ -283,13 +283,12 @@ void GcsPlacementGroupScheduler::CancelResourceReserve( }); } -std::shared_ptr +std::shared_ptr GcsPlacementGroupScheduler::GetOrConnectLeaseClient(const rpc::Address &raylet_address) { return raylet_client_pool_.GetOrConnectByAddress(raylet_address); } -std::shared_ptr -GcsPlacementGroupScheduler::GetLeaseClientFromNode( +std::shared_ptr GcsPlacementGroupScheduler::GetLeaseClientFromNode( const std::shared_ptr &node) { rpc::Address remote_address; remote_address.set_raylet_id(node->node_id()); diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 2e4bae46eee1..18318702df76 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -31,7 +31,7 @@ #include "ray/raylet/scheduling/policy/scheduling_context.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "src/ray/protobuf/gcs_service.pb.h" @@ -40,9 +40,6 @@ namespace gcs { class GcsPlacementGroup; -using ReserveResourceClientFactoryFn = - std::function(const rpc::Address &address)>; - using PGSchedulingFailureCallback = std::function, bool)>; using PGSchedulingSuccessfulCallback = @@ -299,7 +296,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { gcs::GcsTableStorage &gcs_table_storage, const GcsNodeManager &gcs_node_manager, ClusterResourceScheduler &cluster_resource_scheduler, - rpc::NodeManagerClientPool &raylet_client_pool); + rpc::RayletClientPool &raylet_client_pool); virtual ~GcsPlacementGroupScheduler() = default; @@ -409,11 +406,11 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { int current_retry_cnt); /// Get an existing lease client or connect a new one or connect a new one. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectLeaseClient( const rpc::Address &raylet_address); /// Get an existing lease client for a given node. - std::shared_ptr GetLeaseClientFromNode( + std::shared_ptr GetLeaseClientFromNode( const std::shared_ptr &node); /// Called when all prepare requests are returned from nodes. @@ -506,7 +503,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { placement_group_leasing_in_progress_; /// The cached raylet clients used to communicate with raylets. - rpc::NodeManagerClientPool &raylet_client_pool_; + rpc::RayletClientPool &raylet_client_pool_; /// The nodes which are releasing unused bundles. absl::flat_hash_set nodes_of_releasing_unused_bundles_; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 2b8b3ae277ef..233ea07a7681 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -64,8 +64,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, /*record_stats=*/true, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), - raylet_client_pool_( - std::make_unique(client_call_manager_)), + raylet_client_pool_(std::make_unique(client_call_manager_)), worker_client_pool_([this](const rpc::Address &addr) { return std::make_shared( addr, diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 957d94f9d5a5..0f89e3635edb 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -40,7 +40,7 @@ #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" #include "ray/rpc/gcs_server/gcs_rpc_server.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" @@ -231,7 +231,7 @@ class GcsServer { /// The `ClientCallManager` object that is shared by all `RayletClient`s. rpc::ClientCallManager client_call_manager_; /// Node manager client pool. - std::unique_ptr raylet_client_pool_; + std::unique_ptr raylet_client_pool_; // Core worker client pool. rpc::CoreWorkerClientPool worker_client_pool_; /// The cluster resource scheduler. diff --git a/src/ray/gcs/gcs_server/test/BUILD.bazel b/src/ray/gcs/gcs_server/test/BUILD.bazel index e07280da4e01..ba1de9826eb4 100644 --- a/src/ray/gcs/gcs_server/test/BUILD.bazel +++ b/src/ray/gcs/gcs_server/test/BUILD.bazel @@ -80,6 +80,7 @@ ray_cc_library( "gcs_server_test_util.h", ], deps = [ + "//:ray_fakes", "//src/ray/gcs/gcs_client:gcs_client_lib", ], ) diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc index 078a708278f1..137a1e271c62 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc @@ -27,7 +27,7 @@ // clang-format off #include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "mock/ray/pubsub/publisher.h" // clang-format on @@ -46,7 +46,7 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { public: GcsNodeManagerExportAPITest() { raylet_client_ = std::make_shared(); - client_pool_ = std::make_unique( + client_pool_ = std::make_unique( [this](const rpc::Address &) { return raylet_client_; }); gcs_publisher_ = std::make_unique( std::make_unique()); @@ -77,7 +77,7 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; std::shared_ptr raylet_client_; - std::unique_ptr client_pool_; + std::unique_ptr client_pool_; std::shared_ptr gcs_publisher_; instrumented_io_context io_service_; std::string log_dir_; diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc index 10fb8b12963d..8b8b00d1a31a 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc @@ -47,7 +47,7 @@ class GcsActorSchedulerMockTest : public Test { nullptr, nullptr, io_context, nullptr, ClusterID::Nil()); raylet_client = std::make_shared(); core_worker_client = std::make_shared(); - client_pool = std::make_unique( + client_pool = std::make_unique( [this](const rpc::Address &) { return raylet_client; }); local_node_id = NodeID::FromRandom(); auto cluster_resource_scheduler = std::make_shared( @@ -99,7 +99,7 @@ class GcsActorSchedulerMockTest : public Test { std::unique_ptr actor_scheduler; std::shared_ptr core_worker_client; std::unique_ptr worker_client_pool_; - std::unique_ptr client_pool; + std::unique_ptr client_pool; std::shared_ptr>> counter; MockCallback schedule_failure_handler; diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc index c458723141b3..1834056bbd62 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc @@ -38,7 +38,7 @@ class GcsActorSchedulerTest : public ::testing::Test { io_context_ = std::make_unique("GcsActorSchedulerTest"); raylet_client_ = std::make_shared(); - raylet_client_pool_ = std::make_shared( + raylet_client_pool_ = std::make_shared( [this](const rpc::Address &addr) { return raylet_client_; }); worker_client_ = std::make_shared(); gcs_publisher_ = std::make_shared( @@ -171,7 +171,7 @@ class GcsActorSchedulerTest : public ::testing::Test { std::vector> success_actors_; std::shared_ptr gcs_publisher_; std::shared_ptr gcs_table_storage_; - std::shared_ptr raylet_client_pool_; + std::shared_ptr raylet_client_pool_; NodeID local_node_id_; }; diff --git a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc index bf5d3ee1f4ce..8761e74286de 100644 --- a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc @@ -56,7 +56,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { static constexpr char kRayletConfig[] = R"({"raylet_config":"this is a config"})"; instrumented_io_context io_service_; std::shared_ptr raylet_client_; - std::shared_ptr client_pool_; + std::shared_ptr client_pool_; std::unique_ptr cluster_resource_manager_; std::shared_ptr gcs_resource_manager_; std::shared_ptr gcs_node_manager_; @@ -70,7 +70,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { void SetUp() override { raylet_client_ = std::make_shared(); - client_pool_ = std::make_unique( + client_pool_ = std::make_unique( [this](const rpc::Address &) { return raylet_client_; }); cluster_resource_manager_ = std::make_unique(io_service_); gcs_node_manager_ = std::make_shared(); diff --git a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc index 0b7d8298c862..69bb1aee77d3 100644 --- a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc @@ -21,7 +21,7 @@ #include "ray/gcs/gcs_server/test/gcs_server_test_util.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" #include "ray/common/ray_syncer/ray_syncer.h" @@ -32,7 +32,7 @@ class GcsNodeManagerTest : public ::testing::Test { public: GcsNodeManagerTest() { raylet_client_ = std::make_shared(); - client_pool_ = std::make_unique( + client_pool_ = std::make_unique( [this](const rpc::Address &) { return raylet_client_; }); gcs_publisher_ = std::make_unique( std::make_unique()); @@ -42,7 +42,7 @@ class GcsNodeManagerTest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; std::shared_ptr raylet_client_; - std::unique_ptr client_pool_; + std::unique_ptr client_pool_; std::unique_ptr gcs_publisher_; std::unique_ptr io_context_; }; diff --git a/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc index 6cf2ab84c33d..0e1d30a5a357 100644 --- a/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc @@ -68,7 +68,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { *gcs_node_manager_, local_node_id); store_client_ = std::make_shared(); - raylet_client_pool_ = std::make_unique( + raylet_client_pool_ = std::make_unique( [this](const rpc::Address &addr) { return raylet_clients_[addr.port()]; }); scheduler_ = std::make_shared( io_service_, @@ -302,7 +302,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { ABSL_GUARDED_BY(placement_group_requests_mutex_); std::shared_ptr gcs_publisher_; std::shared_ptr gcs_table_storage_; - std::unique_ptr raylet_client_pool_; + std::unique_ptr raylet_client_pool_; std::shared_ptr> counter_; }; diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index b4d904b518aa..c1fdb1c04844 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -22,6 +22,7 @@ #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/task/task.h" #include "ray/common/task/task_util.h" @@ -74,9 +75,8 @@ struct GcsServerMocker { absl::Mutex mutex_; }; - class MockRayletClient : public RayletClientInterface { + class MockRayletClient : public FakeRayletClient { public: - /// WorkerLeaseInterface ray::Status ReturnWorker(int worker_port, const WorkerID &worker_id, bool disconnect_worker, @@ -99,13 +99,6 @@ struct GcsServerMocker { num_get_task_failure_causes += 1; } - std::shared_ptr GetChannel() const override { return nullptr; } - - void ReportWorkerBacklog( - const WorkerID &worker_id, - const std::vector &backlog_reports) override {} - - /// WorkerLeaseInterface void RequestWorkerLease( const rpc::TaskSpec &spec, bool grant_or_reject, @@ -122,7 +115,6 @@ struct GcsServerMocker { RAY_LOG(FATAL) << "Not implemented"; } - /// WorkerLeaseInterface void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, const rpc::ClientCallback &callback) @@ -131,7 +123,6 @@ struct GcsServerMocker { release_callbacks.push_back(callback); } - /// WorkerLeaseInterface void CancelWorkerLease( const TaskID &task_id, const rpc::ClientCallback &callback) override { @@ -143,24 +134,6 @@ struct GcsServerMocker { return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id, NodeID::Nil()); } - void GetResourceLoad( - const ray::rpc::ClientCallback &) override {} - - void RegisterMutableObjectReader( - const ObjectID &object_id, - int64_t num_readers, - const ObjectID &local_reader_object_id, - const rpc::ClientCallback &callback) override {} - - void PushMutableObject( - const ObjectID &object_id, - uint64_t data_size, - uint64_t metadata_size, - void *data, - void *metadata, - const rpc::ClientCallback &callback) override {} - - // Trigger reply to RequestWorkerLease. bool GrantWorkerLease(const std::string &address, int port, const WorkerID &worker_id, @@ -239,7 +212,6 @@ struct GcsServerMocker { } } - /// ResourceReserveInterface void PrepareBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) @@ -248,7 +220,6 @@ struct GcsServerMocker { lease_callbacks.push_back(callback); } - /// ResourceReserveInterface void CommitBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) @@ -257,7 +228,6 @@ struct GcsServerMocker { commit_callbacks.push_back(callback); } - /// ResourceReserveInterface void CancelResourceReserve( const BundleSpecification &bundle_spec, const ray::rpc::ClientCallback &callback) @@ -272,7 +242,6 @@ struct GcsServerMocker { ++num_release_unused_bundles_requested; } - // Trigger reply to PrepareBundleResources. bool GrantPrepareBundleResources(bool success = true, const Status &status = Status::OK()) { rpc::PrepareBundleResourcesReply reply; @@ -287,7 +256,6 @@ struct GcsServerMocker { } } - // Trigger reply to CommitBundleResources. bool GrantCommitBundleResources(const Status &status = Status::OK()) { rpc::CommitBundleResourcesReply reply; if (commit_callbacks.size() == 0) { @@ -300,7 +268,6 @@ struct GcsServerMocker { } } - // Trigger reply to CancelResourceReserve. bool GrantCancelResourceReserve(bool success = true) { Status status = Status::OK(); rpc::CancelResourceReserveReply reply; @@ -314,28 +281,6 @@ struct GcsServerMocker { } } - /// PinObjectsInterface - void PinObjectIDs( - const rpc::Address &caller_address, - const std::vector &object_ids, - const ObjectID &generator_id, - const ray::rpc::ClientCallback &callback) override {} - - /// DependencyWaiterInterface - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag) override { - return ray::Status::OK(); - } - - void GetSystemConfig(const ray::rpc::ClientCallback - &callback) override {} - - /// ShutdownRaylet - void ShutdownRaylet( - const NodeID &raylet_node_id, - bool graceful, - const rpc::ClientCallback &callback) override{}; - void DrainRaylet( const rpc::autoscaler::DrainNodeReason &reason, const std::string &reason_message, @@ -346,18 +291,6 @@ struct GcsServerMocker { drain_raylet_callbacks.push_back(callback); }; - void CancelTasksWithResourceShapes( - const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) - override{}; - - void IsLocalWorkerDead( - const WorkerID &worker_id, - const rpc::ClientCallback &callback) override{}; - - void NotifyGCSRestart( - const rpc::ClientCallback &callback) override{}; - ~MockRayletClient() {} int num_workers_requested = 0; diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 3abc819384dd..697bbb42eca6 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -260,6 +260,7 @@ int main(int argc, char *argv[]) { std::unique_ptr node_manager; std::unique_ptr client_call_manager; std::unique_ptr worker_rpc_pool; + std::unique_ptr raylet_client_pool; std::unique_ptr worker_pool; /// Manages all local objects that are pinned (primary /// copies), freed, and/or spilled. @@ -549,13 +550,13 @@ int main(int argc, char *argv[]) { ray::rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( gcs_client.get(), worker_rpc_pool.get(), - [&](const std::string &node_manager_address, int32_t port) { - return std::make_shared( - node_manager_address, port, *client_call_manager); - }, + raylet_client_pool.get(), addr)); }); + raylet_client_pool = + std::make_unique(*client_call_manager); + core_worker_subscriber = std::make_unique( raylet_node_id, /*channels=*/ @@ -767,14 +768,14 @@ int main(int argc, char *argv[]) { announce_infeasible_task, *local_task_manager); - auto raylet_client_factory = [&](const NodeID &node_id, - ray::rpc::ClientCallManager &client_call_manager) { + auto raylet_client_factory = [&](const NodeID &node_id) { const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); RAY_CHECK(node_info) << "No GCS info for node " << node_id; - return std::make_shared( - node_info->node_manager_address(), - node_info->node_manager_port(), - client_call_manager); + ray::rpc::Address addr; + addr.set_ip_address(node_info->node_manager_address()); + addr.set_port(node_info->node_manager_port()); + addr.set_raylet_id(node_id.Binary()); + return raylet_client_pool->GetOrConnectByAddress(addr); }; plasma_client = std::make_unique(); @@ -786,6 +787,7 @@ int main(int argc, char *argv[]) { *gcs_client, *client_call_manager, *worker_rpc_pool, + *raylet_client_pool, *core_worker_subscriber, *cluster_resource_scheduler, *local_task_manager, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 6804bd3928de..0761bcdd9ca2 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -115,6 +115,7 @@ NodeManager::NodeManager( gcs::GcsClient &gcs_client, rpc::ClientCallManager &client_call_manager, rpc::CoreWorkerClientPool &worker_rpc_pool, + rpc::RayletClientPool &raylet_client_pool, pubsub::SubscriberInterface &core_worker_subscriber, ClusterResourceScheduler &cluster_resource_scheduler, ILocalTaskManager &local_task_manager, @@ -137,6 +138,7 @@ NodeManager::NodeManager( worker_pool_(worker_pool), client_call_manager_(client_call_manager), worker_rpc_pool_(worker_rpc_pool), + raylet_client_pool_(raylet_client_pool), core_worker_subscriber_(core_worker_subscriber), object_directory_(object_directory), object_manager_(object_manager), @@ -2637,8 +2639,11 @@ void NodeManager::HandleFormatGlobalMemoryInfo( // Fetch from remote nodes. for (const auto &[node_id, address] : remote_node_manager_addresses_) { - auto client = std::make_shared( - /*address=*/address.first, /*port=*/address.second, client_call_manager_); + rpc::Address addr; + addr.set_ip_address(address.first); + addr.set_port(address.second); + addr.set_raylet_id(node_id.Binary()); + auto client = raylet_client_pool_.GetOrConnectByAddress(addr); client->GetNodeStats( stats_req, [replies, store_reply](const ray::Status &status, rpc::GetNodeStatsReply &&r) { diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index ed8368065c2b..3bf0989279b0 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -49,6 +49,7 @@ #include "ray/raylet/worker_pool.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_server.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" @@ -138,6 +139,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, gcs::GcsClient &gcs_client, rpc::ClientCallManager &client_call_manager, rpc::CoreWorkerClientPool &worker_rpc_pool, + rpc::RayletClientPool &raylet_client_pool, pubsub::SubscriberInterface &core_worker_subscriber, ClusterResourceScheduler &cluster_resource_scheduler, ILocalTaskManager &local_task_manager, @@ -766,6 +768,8 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::ClientCallManager &client_call_manager_; /// Pool of RPC client connections to core workers. rpc::CoreWorkerClientPool &worker_rpc_pool_; + // Pool of RPC client connections to raylets. + rpc::RayletClientPool &raylet_client_pool_; /// The raylet client to initiate the pubsub to core workers (owners). /// It is used to subscribe objects to evict. pubsub::SubscriberInterface &core_worker_subscriber_; diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index b1f5ae069463..349e752f7c16 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -380,7 +380,8 @@ class NodeManagerTest : public ::testing::Test { : client_call_manager_(io_service_, /*record_stats=*/false), worker_rpc_pool_([](const auto &) { return std::make_shared(); - }) { + }), + raylet_client_pool_(client_call_manager_) { RayConfig::instance().initialize(R"({ "raylet_liveness_self_check_interval_ms": 100 })"); @@ -483,6 +484,7 @@ class NodeManagerTest : public ::testing::Test { *mock_gcs_client_, client_call_manager_, worker_rpc_pool_, + raylet_client_pool_, *core_worker_subscriber_, *cluster_resource_scheduler_, *local_task_manager_, @@ -502,6 +504,7 @@ class NodeManagerTest : public ::testing::Test { instrumented_io_context io_service_; rpc::ClientCallManager client_call_manager_; rpc::CoreWorkerClientPool worker_rpc_pool_; + rpc::RayletClientPool raylet_client_pool_; NodeID raylet_node_id_; std::unique_ptr core_worker_subscriber_; diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 581ad9382774..b8a5a229c0f3 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -49,8 +49,7 @@ using ResourceMappingType = namespace ray { -/// Interface for pinning objects. Abstract for testing. -class PinObjectsInterface { +class RayletClientInterface { public: /// Request to a raylet to pin a plasma object. The callback will be sent via gRPC. virtual void PinObjectIDs( @@ -59,12 +58,6 @@ class PinObjectsInterface { const ObjectID &generator_id, const ray::rpc::ClientCallback &callback) = 0; - virtual ~PinObjectsInterface() = default; -}; - -/// Interface for leasing workers. Abstract for testing. -class WorkerLeaseInterface { - public: /// Requests a worker from the raylet. The callback will be sent via gRPC. /// \param resource_spec Resources that should be allocated for the worker. /// \param grant_or_reject: True if we we should either grant or reject the request @@ -121,12 +114,6 @@ class WorkerLeaseInterface { const TaskID &task_id, const ray::rpc::ClientCallback &callback) = 0; - virtual ~WorkerLeaseInterface() = default; -}; - -/// Interface for leasing resource. -class ResourceReserveInterface { - public: /// Request a raylet to prepare resources of given bundles for atomic placement group /// creation. This is used for the first phase of atomic placement group creation. The /// callback will be sent via gRPC. @@ -154,12 +141,6 @@ class ResourceReserveInterface { const std::vector &bundles_in_use, const rpc::ClientCallback &callback) = 0; - virtual ~ResourceReserveInterface() = default; -}; - -/// Interface for waiting dependencies. Abstract for testing. -class DependencyWaiterInterface { - public: /// Wait for the given objects, asynchronously. The core worker is notified when /// the wait completes. /// @@ -169,22 +150,8 @@ class DependencyWaiterInterface { virtual ray::Status WaitForActorCallArgs( const std::vector &references, int64_t tag) = 0; - virtual ~DependencyWaiterInterface() = default; -}; - -/// Interface for getting resource reports. -class ResourceTrackingInterface { - public: virtual void GetResourceLoad( const rpc::ClientCallback &callback) = 0; - - virtual ~ResourceTrackingInterface() = default; -}; - -class MutableObjectReaderInterface { - public: - virtual ~MutableObjectReaderInterface() = default; - /// Registers a mutable object on this node so that it can be read. Writes are performed /// on a remote node. This local node creates a mapping from `object_id` -> /// `reader_ref`. @@ -224,15 +191,7 @@ class MutableObjectReaderInterface { void *data, void *metadata, const rpc::ClientCallback &callback) = 0; -}; -class RayletClientInterface : public PinObjectsInterface, - public WorkerLeaseInterface, - public DependencyWaiterInterface, - public ResourceReserveInterface, - public ResourceTrackingInterface, - public MutableObjectReaderInterface { - public: /// Get the system config from Raylet. /// \param callback Callback that will be called after raylet replied the system config. virtual void GetSystemConfig( @@ -261,6 +220,12 @@ class RayletClientInterface : public PinObjectsInterface, const rpc::ClientCallback &callback) = 0; virtual std::shared_ptr GetChannel() const = 0; + + virtual void GetNodeStats( + const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback) = 0; + + virtual ~RayletClientInterface() = default; }; namespace raylet { @@ -272,25 +237,11 @@ class RayletClient : public RayletClientInterface { /// Connect to the raylet. /// /// \param raylet_conn connection to raylet. - /// \param grpc_client gRPC client to the raylet. - /// \param raylet_socket The name of the socket to use to connect to the raylet. - /// \param worker_id A unique ID to represent the worker. - /// \param worker_type The type of the worker. If it is a certain worker type, an - /// additional message will be sent to register as one. - /// \param job_id The job ID of the driver or worker. - /// \param runtime_env_hash The hash of the runtime env of the worker. - /// \param language Language of the worker. - /// \param ip_address The IP address of the worker. - /// \param status This will be populated with the result of connection attempt. - /// \param raylet_id This will be populated with the local raylet's NodeID. + /// \param address The IP address of the worker. /// \param port The port that the worker should listen on for gRPC requests. If /// 0, the worker should choose a random port. - /// \param system_config This will be populated with internal config parameters - /// provided by the raylet. - /// \param serialized_job_config If this is a driver connection, the job config - /// provided by driver will be passed to Raylet. - /// \param startup_token The startup token of the process assigned to - /// it during startup as a command line argument. + /// \param client_call_manager The client call manager to use for the grpc connection. + /// \param worker_id The worker id of the worker. RayletClient(std::unique_ptr raylet_conn, const std::string &address, const int port, @@ -299,7 +250,10 @@ class RayletClient : public RayletClientInterface { /// Connect to the raylet via grpc only. /// - /// \param grpc_client gRPC client to the raylet. + /// \param address The IP address of the worker. + /// \param port The port that the worker should listen on for gRPC requests. If + /// 0, the worker should choose a random port. + /// \param client_call_manager The client call manager to use for the grpc connection. explicit RayletClient(const std::string &address, const int port, rpc::ClientCallManager &client_call_manager); @@ -416,7 +370,6 @@ class RayletClient : public RayletClientInterface { std::shared_ptr GetChannel() const override; - /// Implements WorkerLeaseInterface. void RequestWorkerLease( const rpc::TaskSpec &resource_spec, bool grant_or_reject, @@ -424,14 +377,12 @@ class RayletClient : public RayletClientInterface { const int64_t backlog_size, const bool is_selected_based_on_locality) override; - /// Implements WorkerLeaseInterface. ray::Status ReturnWorker(int worker_port, const WorkerID &worker_id, bool disconnect_worker, const std::string &disconnect_worker_error_detail, bool worker_exiting) override; - /// Implements WorkerLeaseInterface. void PrestartWorkers( const ray::rpc::PrestartWorkersRequest &request, const ray::rpc::ClientCallback &callback) override; @@ -441,7 +392,6 @@ class RayletClient : public RayletClientInterface { const ray::rpc::ClientCallback &callback) override; - /// Implements MutableObjectReaderInterface. void RegisterMutableObjectReader( const ObjectID &writer_object_id, int64_t num_readers, @@ -449,7 +399,6 @@ class RayletClient : public RayletClientInterface { const ray::rpc::ClientCallback &callback) override; - /// Implements MutableObjectReaderInterface. void PushMutableObject(const ObjectID &writer_object_id, uint64_t data_size, uint64_t metadata_size, @@ -458,12 +407,10 @@ class RayletClient : public RayletClientInterface { const ray::rpc::ClientCallback &callback) override; - /// Implements WorkerLeaseInterface. void ReportWorkerBacklog( const WorkerID &worker_id, const std::vector &backlog_reports) override; - /// Implements WorkerLeaseInterface. void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, const rpc::ClientCallback &callback) override; @@ -472,25 +419,21 @@ class RayletClient : public RayletClientInterface { const TaskID &task_id, const rpc::ClientCallback &callback) override; - /// Implements PrepareBundleResourcesInterface. void PrepareBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) override; - /// Implements CommitBundleResourcesInterface. void CommitBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) override; - /// Implements CancelResourceReserveInterface. void CancelResourceReserve( const BundleSpecification &bundle_spec, const ray::rpc::ClientCallback &callback) override; - /// Implements ReleaseUnusedBundlesInterface. void ReleaseUnusedBundles( const std::vector &bundles_in_use, const rpc::ClientCallback &callback) override; @@ -531,7 +474,6 @@ class RayletClient : public RayletClientInterface { void NotifyGCSRestart( const rpc::ClientCallback &callback) override; - // Subscribe to receive notification on plasma object void SubscribeToPlasma(const ObjectID &object_id, const rpc::Address &owner_address); WorkerID GetWorkerID() const { return worker_id_; } @@ -541,7 +483,7 @@ class RayletClient : public RayletClientInterface { int64_t GetPinsInFlight() const { return pins_in_flight_.load(); } void GetNodeStats(const rpc::GetNodeStatsRequest &request, - const rpc::ClientCallback &callback); + const rpc::ClientCallback &callback) override; private: /// gRPC client to the NodeManagerService. diff --git a/src/ray/rpc/node_manager/node_manager_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc similarity index 85% rename from src/ray/rpc/node_manager/node_manager_client_pool.cc rename to src/ray/rpc/node_manager/raylet_client_pool.cc index d087e316c2e1..a4428e67f831 100644 --- a/src/ray/rpc/node_manager/node_manager_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -12,14 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/node_manager/node_manager_client_pool.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include namespace ray { namespace rpc { -std::shared_ptr NodeManagerClientPool::GetOrConnectByAddress( +std::shared_ptr RayletClientPool::GetOrConnectByAddress( const rpc::Address &address) { RAY_CHECK(address.raylet_id() != ""); absl::MutexLock lock(&mu_); @@ -39,7 +39,7 @@ std::shared_ptr NodeManagerClientPool::GetOrConnectB } std::optional> -NodeManagerClientPool::GetOrConnectByID(ray::NodeID id) { +RayletClientPool::GetOrConnectByID(ray::NodeID id) { absl::MutexLock lock(&mu_); auto it = client_map_.find(id); if (it == client_map_.end()) { @@ -48,7 +48,7 @@ NodeManagerClientPool::GetOrConnectByID(ray::NodeID id) { return it->second; } -void NodeManagerClientPool::Disconnect(ray::NodeID id) { +void RayletClientPool::Disconnect(ray::NodeID id) { absl::MutexLock lock(&mu_); auto it = client_map_.find(id); if (it == client_map_.end()) { diff --git a/src/ray/rpc/node_manager/node_manager_client_pool.h b/src/ray/rpc/node_manager/raylet_client_pool.h similarity index 94% rename from src/ray/rpc/node_manager/node_manager_client_pool.h rename to src/ray/rpc/node_manager/raylet_client_pool.h index 7dfe160dd35b..c37aebedf482 100644 --- a/src/ray/rpc/node_manager/node_manager_client_pool.h +++ b/src/ray/rpc/node_manager/raylet_client_pool.h @@ -30,7 +30,7 @@ namespace rpc { using RayletClientFactoryFn = std::function(const rpc::Address &)>; -class NodeManagerClientPool { +class RayletClientPool { public: /// Return an existing RayletClient if exists or connect to one if it does /// not. The returned pointer is borrowed, and expected to be used briefly. @@ -48,11 +48,11 @@ class NodeManagerClientPool { /// be open until it's no longer used, at which time it will disconnect. void Disconnect(ray::NodeID id); - explicit NodeManagerClientPool(rpc::ClientCallManager &client_call_manager) + explicit RayletClientPool(rpc::ClientCallManager &client_call_manager) : client_factory_(DefaultClientFactory(client_call_manager)){}; // For testing. - explicit NodeManagerClientPool(RayletClientFactoryFn client_factory) + explicit RayletClientPool(RayletClientFactoryFn client_factory) : client_factory_(std::move(client_factory)){}; private: diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index df09f386e3af..ff4a437914de 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -25,22 +25,21 @@ namespace rpc { std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( gcs::GcsClient *gcs_client, rpc::CoreWorkerClientPool *worker_client_pool, - std::function(std::string, int32_t)> - raylet_client_factory, + rpc::RayletClientPool *raylet_client_pool, const rpc::Address &addr) { - return [addr, - gcs_client, - worker_client_pool, - raylet_client_factory = std::move(raylet_client_factory)]() { + return [addr, gcs_client, worker_client_pool, raylet_client_pool]() { const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); const WorkerID worker_id = WorkerID::FromBinary(addr.worker_id()); - auto check_worker_alive = [raylet_client_factory, + auto check_worker_alive = [raylet_client_pool, worker_client_pool, worker_id, node_id](const rpc::GcsNodeInfo &node_info) { - auto raylet_client = raylet_client_factory(node_info.node_manager_address(), - node_info.node_manager_port()); + rpc::Address raylet_addr; + raylet_addr.set_ip_address(node_info.node_manager_address()); + raylet_addr.set_port(node_info.node_manager_port()); + raylet_addr.set_raylet_id(node_id.Binary()); + auto raylet_client = raylet_client_pool->GetOrConnectByAddress(raylet_addr); raylet_client->IsLocalWorkerDead( worker_id, [worker_client_pool, worker_id, node_id](const Status &status, diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index 776a4c2bec97..5233e4c79c63 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -25,6 +25,7 @@ #include "ray/common/id.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { @@ -43,8 +44,7 @@ class CoreWorkerClientPool { static std::function GetDefaultUnavailableTimeoutCallback( gcs::GcsClient *gcs_client, rpc::CoreWorkerClientPool *worker_client_pool, - std::function(std::string, int32_t)> - raylet_client_factory, + rpc::RayletClientPool *raylet_client_pool, const rpc::Address &addr); /// Returns an open CoreWorkerClientInterface if one exists, and connect to one diff --git a/src/ray/rpc/worker/test/core_worker_client_pool_test.cc b/src/ray/rpc/worker/test/core_worker_client_pool_test.cc index 16b63a4f31ef..90fa0015fd5f 100644 --- a/src/ray/rpc/worker/test/core_worker_client_pool_test.cc +++ b/src/ray/rpc/worker/test/core_worker_client_pool_test.cc @@ -118,22 +118,22 @@ class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam()), + raylet_client_pool_(std::make_shared([](const rpc::Address &) { + return std::make_shared(); + })), client_pool_( std::make_unique([this](const rpc::Address &addr) { return std::make_shared( CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( &this->gcs_client_, this->client_pool_.get(), - [this](const std::string &, int32_t) { - return this->raylet_client_; - }, + this->raylet_client_pool_.get(), addr)); })) {} bool is_subscribed_to_node_change_; MockGcsClient gcs_client_; - std::shared_ptr raylet_client_; + std::shared_ptr raylet_client_pool_; std::unique_ptr client_pool_; }; @@ -197,8 +197,10 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { .WillOnce(invoke_with_node_info_vector({})); } + auto raylet_client = std::dynamic_pointer_cast( + raylet_client_pool_->GetOrConnectByAddress(worker_1_address)); // Worker is alive when node is alive. - EXPECT_CALL(*raylet_client_, IsLocalWorkerDead(_, _)) + EXPECT_CALL(*raylet_client, IsLocalWorkerDead(_, _)) .Times(2) .WillRepeatedly( Invoke([](const WorkerID &, @@ -223,8 +225,9 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { // 1st call - Node is alive and worker is alive. // 2nd call - Node is alive and worker is dead, client should be disconnected. + auto worker_address = CreateRandomAddress("1"); auto core_worker_client = dynamic_cast( - client_pool_->GetOrConnect(CreateRandomAddress("1")).get()); + client_pool_->GetOrConnect(worker_address).get()); ASSERT_EQ(client_pool_->Size(), 1); rpc::GcsNodeInfo node_info_alive; @@ -242,7 +245,9 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { std::optional) { callback(Status::OK(), {node_info_alive}); })); } - EXPECT_CALL(*raylet_client_, IsLocalWorkerDead(_, _)) + auto raylet_client = std::dynamic_pointer_cast( + raylet_client_pool_->GetOrConnectByAddress(worker_address)); + EXPECT_CALL(*raylet_client, IsLocalWorkerDead(_, _)) .WillOnce( Invoke([](const WorkerID &, const rpc::ClientCallback &callback) { From c8a7bdcead0322a43b518a8092011e31ad3da2b6 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 29 Jul 2025 17:59:34 -0700 Subject: [PATCH 0385/1566] [ci] raydepsets: updating test rules (#55028) adding raydepsets to test rules (only ci tests will be run when changes are made here) --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/pipeline/test_rules.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index 1ffe298545b8..ed29050670df 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -171,6 +171,7 @@ ci/lint/ ci/fossa/ ci/docker/fossa.Dockerfile ci/docker/fossa.wanda.yaml +ci/raydepsets/ bazel/tests/ @ tools ; From fa73dfe50502374afe3216eadd24d39405188aa7 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 29 Jul 2025 19:11:36 -0700 Subject: [PATCH 0386/1566] [ci] raydepsets: refactoring expand op (#55014) refactoring expand operation for raydepsets to allow for depsets and requirement files as input. this makes depset expansion inherit the input depset's requirements --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 5 +++++ ci/raydepsets/test_cli.py | 41 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 46 insertions(+) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 053b4a759a8a..f569ade336e6 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -88,6 +88,7 @@ def execute_single(self, depset: Depset): elif depset.operation == "expand": self.expand( depsets=depset.depsets, + requirements=depset.requirements, constraints=depset.constraints, args=DEFAULT_UV_FLAGS.copy(), name=depset.name, @@ -136,16 +137,20 @@ def subset( def expand( self, depsets: List[str], + requirements: List[str], constraints: List[str], args: List[str], name: str, output: str = None, ): """Expand a dependency set.""" + # handle both depsets and requirements depset_req_list = [] for depset_name in depsets: depset = self.get_depset(depset_name) depset_req_list.extend(depset.requirements) + if requirements: + depset_req_list.extend(requirements) self.compile( constraints=constraints, requirements=depset_req_list, diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 8bd54f8e8e29..4131801d35b3 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -311,6 +311,47 @@ def test_expand(self): depsets=["general_depset", "expanded_depset"], constraints=["requirement_constraints_expand.txt"], args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + requirements=[], + name="expand_general_depset", + output="requirements_compiled_expand_general.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled_expand_general.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test_expand.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + + def test_expand_with_requirements(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + _save_packages_to_file( + Path(tmpdir) / "requirements_expanded.txt", + ["six"], + ) + _save_file_as( + Path(tmpdir) / "requirement_constraints_test.txt", + Path(tmpdir) / "requirement_constraints_expand.txt", + ) + _append_to_file( + Path(tmpdir) / "requirement_constraints_expand.txt", + "six==1.17.0", + ) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + name="general_depset", + output="requirements_compiled_general.txt", + ) + manager.expand( + depsets=["general_depset"], + requirements=["requirements_expanded.txt"], + constraints=["requirement_constraints_expand.txt"], + args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), name="expand_general_depset", output="requirements_compiled_expand_general.txt", ) From cbd9754c586266c426b1380912a3b34094d47163 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 29 Jul 2025 19:12:29 -0700 Subject: [PATCH 0387/1566] [ci] remove all `copy_to_workspace` usage. (#55031) using fewer local genrules Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 41 +++++++++++++++++------------------------ bazel/ray.bzl | 39 ++++++++++++--------------------------- 2 files changed, 29 insertions(+), 51 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index df1352b5f5e2..84754d377c3b 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -17,7 +17,7 @@ load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto//proto:defs.bzl", "proto_library") load("@rules_python//python:defs.bzl", "py_library", "py_runtime", "py_runtime_pair") -load("//bazel:ray.bzl", "COPTS", "FLATC_ARGS", "PYX_COPTS", "PYX_SRCS", "copy_to_workspace", "ray_cc_binary", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "COPTS", "FLATC_ARGS", "PYX_COPTS", "PYX_SRCS", "ray_cc_binary", "ray_cc_library", "ray_cc_test") package( default_visibility = ["//visibility:public"], @@ -1131,46 +1131,39 @@ pkg_zip( visibility = ["//visibility:private"], ) -copy_to_workspace( - name = "cp_core_py_proto", - srcs = [":core_py_proto"], - dstdir = "python/ray/core/generated", -) - -copy_to_workspace( - name = "cp_serve_py_proto", - srcs = [":serve_py_proto"], - dstdir = "python/ray/serve/generated", -) - genrule( name = "install_py_proto", srcs = [ - ":cp_core_py_proto", - ":cp_serve_py_proto", - - # Adding these pkg files rules make sure that there are no naming - # conflicts between the generated files and the pkg files. ":core_py_proto_zip", ":serve_py_proto_zip", ], outs = ["install_py_proto.out"], cmd = """ + set -euo pipefail + + rm -rf python/ray/core/generated/* + rm -rf python/ray/serve/generated/* + + unzip -o -q $(location :core_py_proto_zip) -d python + unzip -o -q $(location :serve_py_proto_zip) -d python + + files=( + $$(ls python/ray/core/generated/*_pb2*.py) + $$(ls python/ray/serve/generated/*_pb2*.py) + ) + # NOTE(hchen): Protobuf doesn't allow specifying Python package name. So we use this `sed` # command to change the import path in the generated file. - # shellcheck disable=SC2006 - files=( - `ls python/ray/core/generated/*_pb2*.py` \ - `ls python/ray/serve/generated/*_pb2*.py` \ - ) sed -i -E 's/from src.ray.protobuf/from ./' "$${files[@]}" # Help the generated serve files to have the correct module - serve_files=(`ls python/ray/serve/generated/*_pb2*.py`) + serve_files=($$(ls python/ray/serve/generated/*_pb2*.py)) sed -i -E 's/'"'"'src.ray.protobuf./'"'"'ray.serve.generated./' "$${serve_files[@]}" + # TODO(sang): Build our own proto instead of creating a new proto for opencensus separately. # https://github.com/ray-project/ray/issues/31358 sed -i -E 's/from opencensus.proto.metrics.v1 import/from . import/' "$${files[@]}" sed -i -E 's/from opencensus.proto.resource.v1 import/from . import/' "$${files[@]}" + echo "$${PWD}" > $@ """, local = 1, diff --git a/bazel/ray.bzl b/bazel/ray.bzl index 12aebedf39cd..690e352ebbba 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -68,6 +68,18 @@ def define_java_module( define_test_lib = False, test_deps = [], **kwargs): + """ + Defines a ray Java module with a pom file. + + Args: + name: The base name of the module. + additional_srcs: Additional source files to include in the module. + exclude_srcs: Source files to exclude from the module. + additional_resources: Additional resources to include in the module. + define_test_lib: Whether to define a test library for the module. + test_deps: Dependencies for the test library; only used if define_test_lib is True. + **kwargs: Additional arguments to pass to the java_library rule. + """ lib_name = "io_ray_ray_" + name pom_file_targets = [lib_name] native.java_library( @@ -96,33 +108,6 @@ def define_java_module( }, ) -def copy_to_workspace(name, srcs, dstdir = ""): - if dstdir.startswith("/") or dstdir.startswith("\\"): - fail("Subdirectory must be a relative path: " + dstdir) - src_locations = " ".join(["$(locations %s)" % (src,) for src in srcs]) - native.genrule( - name = name, - srcs = srcs, - outs = [name + ".out"], - cmd = r""" - mkdir -p -- {dstdir} - echo "name={name}" > $@ - echo "dstdir={dstdir}" >> $@ - echo "----" >> $@ - for f in {locations}; do - rm -f -- {dstdir}$${{f##*/}} - cp -f -- "$$f" {dstdir} - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$$f" >> $@ ; else sha1sum "$$f" >> $@ ; fi - done - """.format( - name = name, - locations = src_locations, - dstdir = "." + ("/" + dstdir.replace("\\", "/")).rstrip("/") + "/", - ), - local = 1, - tags = ["no-cache"], - ) - def native_java_library(module_name, name, native_library_name): """Copy native library file to different path based on operating systems""" copy_file( From df12c565cfeebf46ebb158ed53bf0d29a85c8589 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 29 Jul 2025 19:12:53 -0700 Subject: [PATCH 0388/1566] [ci] rename all doc BUILD files to BUILD.bazel (#55034) unify bazel build file naming conventions across the repository Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- doc/{BUILD => BUILD.bazel} | 0 doc/source/data/examples/{BUILD => BUILD.bazel} | 0 doc/source/llm/examples/batch/{BUILD => BUILD.bazel} | 0 doc/source/ray-core/examples/{BUILD => BUILD.bazel} | 0 doc/source/serve/tutorials/{BUILD => BUILD.bazel} | 0 doc/source/train/examples/lightgbm/{BUILD => BUILD.bazel} | 0 doc/source/train/examples/lightning/{BUILD => BUILD.bazel} | 0 doc/source/train/examples/pytorch/{BUILD => BUILD.bazel} | 0 .../pytorch/distributing-pytorch/ci/{BUILD => BUILD.bazel} | 0 doc/source/train/examples/transformers/{BUILD => BUILD.bazel} | 0 doc/source/train/examples/xgboost/{BUILD => BUILD.bazel} | 0 doc/source/tune/examples/{BUILD => BUILD.bazel} | 0 doc/source/tune/tutorials/{BUILD => BUILD.bazel} | 0 13 files changed, 0 insertions(+), 0 deletions(-) rename doc/{BUILD => BUILD.bazel} (100%) rename doc/source/data/examples/{BUILD => BUILD.bazel} (100%) rename doc/source/llm/examples/batch/{BUILD => BUILD.bazel} (100%) rename doc/source/ray-core/examples/{BUILD => BUILD.bazel} (100%) rename doc/source/serve/tutorials/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/lightgbm/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/lightning/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/pytorch/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/pytorch/distributing-pytorch/ci/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/transformers/{BUILD => BUILD.bazel} (100%) rename doc/source/train/examples/xgboost/{BUILD => BUILD.bazel} (100%) rename doc/source/tune/examples/{BUILD => BUILD.bazel} (100%) rename doc/source/tune/tutorials/{BUILD => BUILD.bazel} (100%) diff --git a/doc/BUILD b/doc/BUILD.bazel similarity index 100% rename from doc/BUILD rename to doc/BUILD.bazel diff --git a/doc/source/data/examples/BUILD b/doc/source/data/examples/BUILD.bazel similarity index 100% rename from doc/source/data/examples/BUILD rename to doc/source/data/examples/BUILD.bazel diff --git a/doc/source/llm/examples/batch/BUILD b/doc/source/llm/examples/batch/BUILD.bazel similarity index 100% rename from doc/source/llm/examples/batch/BUILD rename to doc/source/llm/examples/batch/BUILD.bazel diff --git a/doc/source/ray-core/examples/BUILD b/doc/source/ray-core/examples/BUILD.bazel similarity index 100% rename from doc/source/ray-core/examples/BUILD rename to doc/source/ray-core/examples/BUILD.bazel diff --git a/doc/source/serve/tutorials/BUILD b/doc/source/serve/tutorials/BUILD.bazel similarity index 100% rename from doc/source/serve/tutorials/BUILD rename to doc/source/serve/tutorials/BUILD.bazel diff --git a/doc/source/train/examples/lightgbm/BUILD b/doc/source/train/examples/lightgbm/BUILD.bazel similarity index 100% rename from doc/source/train/examples/lightgbm/BUILD rename to doc/source/train/examples/lightgbm/BUILD.bazel diff --git a/doc/source/train/examples/lightning/BUILD b/doc/source/train/examples/lightning/BUILD.bazel similarity index 100% rename from doc/source/train/examples/lightning/BUILD rename to doc/source/train/examples/lightning/BUILD.bazel diff --git a/doc/source/train/examples/pytorch/BUILD b/doc/source/train/examples/pytorch/BUILD.bazel similarity index 100% rename from doc/source/train/examples/pytorch/BUILD rename to doc/source/train/examples/pytorch/BUILD.bazel diff --git a/doc/source/train/examples/pytorch/distributing-pytorch/ci/BUILD b/doc/source/train/examples/pytorch/distributing-pytorch/ci/BUILD.bazel similarity index 100% rename from doc/source/train/examples/pytorch/distributing-pytorch/ci/BUILD rename to doc/source/train/examples/pytorch/distributing-pytorch/ci/BUILD.bazel diff --git a/doc/source/train/examples/transformers/BUILD b/doc/source/train/examples/transformers/BUILD.bazel similarity index 100% rename from doc/source/train/examples/transformers/BUILD rename to doc/source/train/examples/transformers/BUILD.bazel diff --git a/doc/source/train/examples/xgboost/BUILD b/doc/source/train/examples/xgboost/BUILD.bazel similarity index 100% rename from doc/source/train/examples/xgboost/BUILD rename to doc/source/train/examples/xgboost/BUILD.bazel diff --git a/doc/source/tune/examples/BUILD b/doc/source/tune/examples/BUILD.bazel similarity index 100% rename from doc/source/tune/examples/BUILD rename to doc/source/tune/examples/BUILD.bazel diff --git a/doc/source/tune/tutorials/BUILD b/doc/source/tune/tutorials/BUILD.bazel similarity index 100% rename from doc/source/tune/tutorials/BUILD rename to doc/source/tune/tutorials/BUILD.bazel From 19a8c9c65115988370f2748888899bc754d9e58b Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Tue, 29 Jul 2025 19:59:36 -0700 Subject: [PATCH 0389/1566] [core][gpu-objects] Move data transfers to a background thread (#54256) This moves data transfers to a background thread on the Ray actors to avoid blocking on user tasks running on the main thread. We add a new required annotation `enable_tensor_transport` to the Ray actor `@ray.remote` annotation, so that we know to create the background concurrency group before the actor starts. This is a workaround while we find a solution for https://github.com/ray-project/ray/pull/51058; currently if no additional concurrency group is specified at actor creation time, tasks submitted to the background concurrency group can get blocked on the main thread. --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: Kai-Hsun Chen Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 2 +- python/ray/_common/ray_option_utils.py | 1 + python/ray/_private/ray_constants.py | 8 + python/ray/_private/serialization.py | 78 ++++------ python/ray/_private/worker.py | 22 ++- python/ray/_raylet.pyx | 2 +- python/ray/actor.py | 47 +++++- .../channel/serialization_context.py | 7 +- .../gpu_object_manager/gpu_object_manager.py | 110 ++++++++----- .../gpu_object_manager/gpu_object_store.py | 147 ++++++++++++++---- python/ray/tests/test_gpu_objects_gloo.py | 15 +- python/ray/tests/test_gpu_objects_nccl.py | 2 +- 12 files changed, 308 insertions(+), 133 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 30c316914ba9..ec01b7545ad1 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -326,7 +326,7 @@ python/ray/actor.py DOC201: Method `ActorMethod.options` does not have a return section in docstring DOC101: Method `_ActorClassMetadata.__init__`: Docstring contains fewer arguments than in function signature. DOC107: Method `_ActorClassMetadata.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Method `_ActorClassMetadata.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_type: , actor_creation_function_descriptor: , class_id: , concurrency_groups: , label_selector: , language: , max_restarts: , max_task_retries: , memory: , modified_class: , num_cpus: , num_gpus: , object_store_memory: , resources: , runtime_env: , scheduling_strategy: SchedulingStrategyT]. + DOC103: Method `_ActorClassMetadata.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_type: , actor_creation_function_descriptor: , class_id: , concurrency_groups: , enable_tensor_transport: bool, label_selector: , language: , max_restarts: , max_task_retries: , memory: , modified_class: , num_cpus: , num_gpus: , object_store_memory: , resources: , runtime_env: , scheduling_strategy: SchedulingStrategyT]. DOC101: Method `ActorClass.__init__`: Docstring contains fewer arguments than in function signature. DOC106: Method `ActorClass.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `ActorClass.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints diff --git a/python/ray/_common/ray_option_utils.py b/python/ray/_common/ray_option_utils.py index 597c0dd60518..0ee1d6b0dda4 100644 --- a/python/ray/_common/ray_option_utils.py +++ b/python/ray/_common/ray_option_utils.py @@ -222,6 +222,7 @@ def issubclass_safe(obj: Any, cls_: type) -> bool: _actor_only_options = { "concurrency_groups": Option((list, dict, type(None))), + "enable_tensor_transport": Option(bool, default_value=False), "lifetime": Option( (str, type(None)), lambda x: None diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index 898ce8f2f35a..f1d84fb30747 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -586,3 +586,11 @@ def gcs_actor_scheduling_enabled(): RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_CORE = env_bool( "RAY_experimental_enable_open_telemetry_on_core", False ) + +# How long to wait for a fetch to complete during ray.get before timing out and raising an exception to the user. +# +# NOTE: This must be kept in sync with the C++ definition of +# `RayConfig::fetch_fail_timeout_milliseconds`. +FETCH_FAIL_TIMEOUT_SECONDS = ( + env_integer("RAY_fetch_fail_timeout_milliseconds", 60000) / 1000 +) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index aaf7f432d164..60221cb474b5 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -2,7 +2,7 @@ import logging import threading import traceback -from typing import TYPE_CHECKING, Any, List, Optional, Tuple, Union +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union if TYPE_CHECKING: import torch @@ -13,7 +13,6 @@ import ray.cloudpickle as pickle import ray.exceptions from ray._private import ray_constants -from ray._private.custom_types import TensorTransportEnum from ray._raylet import ( DynamicObjectRefGenerator, MessagePackSerializedObject, @@ -259,21 +258,15 @@ def add_contained_object_ref( def _deserialize_pickle5_data( self, data: Any, - tensor_transport: TensorTransportEnum, - object_id: Optional[str] = None, + out_of_band_tensors: Optional[List["torch.Tensor"]], ) -> Any: """ Args: data: The data to deserialize. - tensor_transport: The tensor transport to use. If not equal to OBJECT_STORE, - it means that any tensors in the object are sent out-of-band - instead of through the object store. In this case, we need to - retrieve the tensors from the in-actor object store. Then, we - deserialize `data` with the retrieved tensors in the - serialization context. - object_id: The object ID to use as the key for the in-actor object store - to retrieve tensors. + out_of_band_tensors: Tensors that were sent out-of-band. If this is + not None, then the serialized data will contain placeholders + that need to be replaced with these tensors. Returns: Any: The deserialized object. @@ -281,24 +274,9 @@ def _deserialize_pickle5_data( from ray.experimental.channel import ChannelContext ctx = ChannelContext.get_current().serialization_context - - enable_gpu_objects = tensor_transport != TensorTransportEnum.OBJECT_STORE + enable_gpu_objects = out_of_band_tensors is not None if enable_gpu_objects: - gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager - if not gpu_object_manager.gpu_object_store.has_gpu_object(object_id): - assert gpu_object_manager.is_managed_gpu_object( - object_id - ), f"obj_id={object_id} not found in GPU object store. This error is unexpected. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" - gpu_object_manager.fetch_gpu_object(object_id) - tensors = gpu_object_manager.gpu_object_store.get_gpu_object(object_id) - ctx.reset_out_of_band_tensors(tensors) - gpu_object_store = gpu_object_manager.gpu_object_store - # If the GPU object is the primary copy, it means the transfer is intra-actor. - # In this case, we should not remove the GPU object after it is consumed once, - # because the GPU object reference may be used again. - # Instead, we should wait for the GC callback to clean it up. - if not gpu_object_store.is_primary_copy(object_id): - gpu_object_store.remove_gpu_object(object_id) + ctx.reset_out_of_band_tensors(out_of_band_tensors) try: in_band, buffers = unpack_pickle5_buffers(data) @@ -318,16 +296,13 @@ def _deserialize_msgpack_data( self, data, metadata_fields, - object_id: Optional[str] = None, - tensor_transport: Optional[ - TensorTransportEnum - ] = TensorTransportEnum.OBJECT_STORE, + out_of_band_tensors: Optional[List["torch.Tensor"]] = None, ): msgpack_data, pickle5_data = split_buffer(data) if metadata_fields[0] == ray_constants.OBJECT_METADATA_TYPE_PYTHON: python_objects = self._deserialize_pickle5_data( - pickle5_data, tensor_transport, object_id + pickle5_data, out_of_band_tensors ) else: python_objects = [] @@ -371,10 +346,8 @@ def _deserialize_object( data, metadata, object_ref, - tensor_transport: Optional[TensorTransportEnum], + out_of_band_tensors: Optional[List["torch.Tensor"]], ): - if tensor_transport is None: - tensor_transport = TensorTransportEnum.OBJECT_STORE if metadata: metadata_fields = metadata.split(b",") if metadata_fields[0] in [ @@ -382,7 +355,7 @@ def _deserialize_object( ray_constants.OBJECT_METADATA_TYPE_PYTHON, ]: return self._deserialize_msgpack_data( - data, metadata_fields, object_ref.hex(), tensor_transport + data, metadata_fields, out_of_band_tensors ) # Check if the object should be returned as raw bytes. if metadata_fields[0] == ray_constants.OBJECT_METADATA_TYPE_RAW: @@ -390,7 +363,9 @@ def _deserialize_object( return b"" return data.to_pybytes() elif metadata_fields[0] == ray_constants.OBJECT_METADATA_TYPE_ACTOR_HANDLE: - obj = self._deserialize_msgpack_data(data, metadata_fields) + obj = self._deserialize_msgpack_data( + data, metadata_fields, out_of_band_tensors + ) # The last character is a 1 if weak_ref=True and 0 else. serialized, weak_ref = obj[:-1], obj[-1:] == b"1" return _actor_handle_deserializer(serialized, weak_ref) @@ -407,7 +382,9 @@ def _deserialize_object( # TODO (kfstorm): exception serialization should be language # independent. if error_type == ErrorType.Value("TASK_EXECUTION_EXCEPTION"): - obj = self._deserialize_msgpack_data(data, metadata_fields) + obj = self._deserialize_msgpack_data( + data, metadata_fields, out_of_band_tensors + ) return RayError.from_bytes(obj) elif error_type == ErrorType.Value("WORKER_DIED"): return WorkerCrashedError() @@ -430,7 +407,9 @@ def _deserialize_object( except google.protobuf.message.DecodeError: # Deserialization from Python. The TaskCancelledError is # serialized and returned directly. - obj = self._deserialize_msgpack_data(data, metadata_fields) + obj = self._deserialize_msgpack_data( + data, metadata_fields, out_of_band_tensors + ) return RayError.from_bytes(obj) elif error_type == ErrorType.Value("OBJECT_LOST"): return ObjectLostError( @@ -516,22 +495,31 @@ def _deserialize_object( return PlasmaObjectNotAvailable def deserialize_objects( - self, serialized_ray_objects: List[SerializedRayObject], object_refs + self, + serialized_ray_objects: List[SerializedRayObject], + object_refs, + out_of_band_tensors: Dict[str, List["torch.Tensor"]], ): assert len(serialized_ray_objects) == len(object_refs) # initialize the thread-local field if not hasattr(self._thread_local, "object_ref_stack"): self._thread_local.object_ref_stack = [] results = [] - for object_ref, (data, metadata, tensor_transport_value) in zip( + for object_ref, (data, metadata, transport) in zip( object_refs, serialized_ray_objects ): try: # Push the object ref to the stack, so the object under # the object ref knows where it comes from. self._thread_local.object_ref_stack.append(object_ref) + object_tensors = None + if object_ref is not None: + object_tensors = out_of_band_tensors.pop(object_ref.hex(), None) obj = self._deserialize_object( - data, metadata, object_ref, tensor_transport_value + data, + metadata, + object_ref, + object_tensors, ) except Exception as e: logger.exception(e) @@ -639,7 +627,7 @@ def serialize_and_store_gpu_objects( obj_id = obj_id.decode("ascii") worker = ray._private.worker.global_worker gpu_object_manager = worker.gpu_object_manager - gpu_object_manager.gpu_object_store.add_gpu_object( + gpu_object_manager.gpu_object_store.add_object( obj_id, tensors, is_primary=True ) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 6d253a761354..80ca04848f22 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -58,6 +58,7 @@ from ray._common import ray_option_utils from ray._common.utils import load_class from ray._private.client_mode_hook import client_mode_hook +from ray._private.custom_types import TensorTransportEnum from ray._private.function_manager import FunctionActorManager from ray._private.inspect_util import is_cython from ray._private.ray_logging import ( @@ -100,7 +101,7 @@ from ray.widgets.util import repr_with_fallback if TYPE_CHECKING: - pass + import torch SCRIPT_MODE = 0 WORKER_MODE = 1 @@ -869,13 +870,30 @@ def raise_errors(self, serialized_objects, object_refs): _unhandled_error_handler(e) def deserialize_objects(self, serialized_objects, object_refs): + out_of_band_tensors: Dict[str, List["torch.Tensor"]] = {} + for obj_ref, (_, _, tensor_transport) in zip(object_refs, serialized_objects): + # If using a non-object store transport, then tensors will be sent + # out-of-band. Get them before deserializing the object store data. + if ( + tensor_transport is None + or tensor_transport == TensorTransportEnum.OBJECT_STORE + ): + continue + + object_id = obj_ref.hex() + out_of_band_tensors[ + object_id + ] = self.gpu_object_manager.get_out_of_band_tensors(object_id) + # Function actor manager or the import thread may call pickle.loads # at the same time which can lead to failed imports # TODO: We may be better off locking on all imports or injecting a lock # into pickle.loads (https://github.com/ray-project/ray/issues/16304) with self.function_actor_manager.lock: context = self.get_serialization_context() - return context.deserialize_objects(serialized_objects, object_refs) + return context.deserialize_objects( + serialized_objects, object_refs, out_of_band_tensors + ) def get_objects( self, diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f65674aee3aa..1fce2dfaeb3a 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2291,7 +2291,7 @@ cdef void free_actor_object_callback(const CObjectID &c_object_id) nogil: with gil: object_id = c_object_id.Hex().decode() gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager - gpu_object_manager.gpu_object_store.remove_gpu_object(object_id) + gpu_object_manager.gpu_object_store.pop_object(object_id) cdef shared_ptr[LocalMemoryBuffer] ray_error_to_memory_buf(ray_error): cdef bytes py_bytes = ray_error.to_bytes() diff --git a/python/ray/actor.py b/python/ray/actor.py index 94a7d6a992bb..9f03a2c6b979 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -690,6 +690,10 @@ def options(self, **options): func_cls = self + tensor_transport = options.get("tensor_transport", None) + if tensor_transport is not None: + options["tensor_transport"] = TensorTransportEnum.from_str(tensor_transport) + class FuncWrapper: def remote(self, *args, **kwargs): return func_cls._remote(args=args, kwargs=kwargs, **options) @@ -793,7 +797,7 @@ def _remote( concurrency_group=None, _generator_backpressure_num_objects=None, enable_task_events=None, - tensor_transport_name: Optional[str] = None, + tensor_transport: Optional[TensorTransportEnum] = None, ): if num_returns is None: num_returns = self._num_returns @@ -810,10 +814,9 @@ def _remote( self._generator_backpressure_num_objects ) - if tensor_transport_name is not None: - tensor_transport = TensorTransportEnum.from_str(tensor_transport_name) - else: + if tensor_transport is None: tensor_transport = self._tensor_transport + if tensor_transport != TensorTransportEnum.OBJECT_STORE and num_returns != 1: raise ValueError( f"Currently, methods with tensor_transport={tensor_transport.name} only support 1 return value. " @@ -924,7 +927,12 @@ def reset_cache(cls): cls._cache.clear() @classmethod - def create(cls, modified_class, actor_creation_function_descriptor): + def create( + cls, + modified_class, + actor_creation_function_descriptor, + enable_tensor_transport: bool = False, + ): # Try to create an instance from cache. cached_meta = cls._cache.get(actor_creation_function_descriptor) if cached_meta is not None: @@ -1009,6 +1017,15 @@ def create(cls, modified_class, actor_creation_function_descriptor): method_name ] = method.__ray_tensor_transport__ + method_tensor_transport = self.method_name_to_tensor_transport.get( + method_name, None + ) + if not enable_tensor_transport and method_tensor_transport is not None: + if method_tensor_transport != TensorTransportEnum.OBJECT_STORE: + raise ValueError( + f"Method {method_name} has tensor_transport={method_tensor_transport.name} but enable_tensor_transport is False" + ) + # Update cache. cls._cache[actor_creation_function_descriptor] = self return self @@ -1039,6 +1056,7 @@ class _ActorClassMetadata: See :ref:`accelerator types `. runtime_env: The runtime environment for this actor. scheduling_strategy: Strategy about how to schedule this actor. + enable_tensor_transport: Whether to enable out-of-band tensor transport for this actor. last_export_cluster_and_job: A pair of the last exported cluster and job to help us to know whether this function was exported. This is an imperfect mechanism used to determine if we need to @@ -1066,6 +1084,7 @@ def __init__( runtime_env, concurrency_groups, scheduling_strategy: SchedulingStrategyT, + enable_tensor_transport: bool = False, ): self.language = language self.modified_class = modified_class @@ -1085,9 +1104,12 @@ def __init__( self.runtime_env = runtime_env self.concurrency_groups = concurrency_groups self.scheduling_strategy = scheduling_strategy + self.enable_tensor_transport = enable_tensor_transport self.last_export_cluster_and_job = None self.method_meta = _ActorClassMethodMetadata.create( - modified_class, actor_creation_function_descriptor + modified_class, + actor_creation_function_descriptor, + self.enable_tensor_transport, ) @@ -1105,6 +1127,19 @@ def _process_option_dict(actor_options): _filled_options["runtime_env"] = parse_runtime_env_for_task_or_actor( _filled_options["runtime_env"] ) + + # Ray GPU objects requires a background thread for data transfer. However, + # currently by default the background thread will be blocked if the main + # thread does not yield. For now, we explicitly create the background + # thread, which forces Ray to execute all tasks on background threads + # instead of the main thread. + # TODO(swang): Remove this code once + # https://github.com/ray-project/ray/issues/54639 is fixed. + if _filled_options.get("enable_tensor_transport", False): + if _filled_options.get("concurrency_groups", None) is None: + _filled_options["concurrency_groups"] = {} + _filled_options["concurrency_groups"]["_ray_system"] = 1 + return _filled_options diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index 7474a192e47f..40784b38f409 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -149,7 +149,12 @@ def deserialize_tensor( if isinstance(val, int): placeholder = val self._deserialized_tensor_placeholders.add(placeholder) - assert placeholder < len(self._out_of_band_tensors) + assert placeholder < len(self._out_of_band_tensors), ( + "placeholder", + placeholder, + "out_of_band_tensors", + self._out_of_band_tensors, + ) tensor = self._out_of_band_tensors[placeholder] if target_device == Device.CPU: tensor = tensor.to("cpu") diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 9962d22f4976..1f8ac0a60e5f 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -1,8 +1,10 @@ from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional, Tuple +import threading import ray from ray._private.custom_types import TensorTransportEnum from ray._raylet import ObjectRef +from ray._private import ray_constants if TYPE_CHECKING: @@ -23,30 +25,6 @@ class GPUObjectMeta(NamedTuple): tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] -def __ray_get_tensor_meta__(self, obj_id: str): - """Helper function that runs on the src actor to get the tensor metadata.""" - from ray._private.worker import global_worker - - gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - assert gpu_object_store.has_gpu_object( - obj_id - ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_gpu_object(obj_id) - return [(t.shape, t.dtype) for t in tensors] - - -def __ray_fetch_gpu_object__(self, obj_id: str): - """Helper function that runs on the src actor to fetch tensors from the GPU object store via the object store.""" - from ray._private.worker import global_worker - - gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - assert gpu_object_store.has_gpu_object( - obj_id - ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_gpu_object(obj_id) - return tensors - - class GPUObjectManager: def __init__(self): # A dictionary that maps from owned object's ID to GPUObjectMeta. @@ -58,27 +36,38 @@ def __init__(self): # avoid circular import and because it imports third-party dependencies # like PyTorch. self._gpu_object_store: Optional["GPUObjectStore"] = None + # Lock to ensure we only create the GPU object store once. + self.gpu_object_store_lock = threading.Lock() @property def gpu_object_store(self) -> "ray.experimental.GPUObjectStore": - if self._gpu_object_store is None: - from ray.experimental.gpu_object_manager.gpu_object_store import ( - GPUObjectStore, - ) + with self.gpu_object_store_lock: + if self._gpu_object_store is None: + from ray.experimental.gpu_object_manager.gpu_object_store import ( + GPUObjectStore, + ) - self._gpu_object_store = GPUObjectStore() + self._gpu_object_store = GPUObjectStore() return self._gpu_object_store def _get_tensor_meta( self, src_actor: "ray.actor.ActorHandle", obj_id: str ) -> ObjectRef: + from ray.experimental.gpu_object_manager.gpu_object_store import ( + __ray_get_tensor_meta__, + ) + # Submit a Ray actor task to the source actor to get the tensor metadata. # The metadata is a list of tuples, where each tuple contains the shape and dtype # of a tensor in the GPU object store. This function returns an ObjectRef that # points to the tensor metadata. - return src_actor.__ray_call__.remote(__ray_get_tensor_meta__, obj_id) + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking this task. + return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_get_tensor_meta__, obj_id + ) - def is_managed_gpu_object(self, obj_id: str) -> bool: + def is_managed_object(self, obj_id: str) -> bool: """ Check if the GPU object is managed by this process. @@ -125,7 +114,7 @@ def _get_gpu_object_metadata(self, obj_ref: ObjectRef) -> GPUObjectMeta: obj_id = obj_ref.hex() return self.managed_gpu_object_metadata[obj_id] - def _send_gpu_object( + def _send_object( self, communicator_name: str, src_actor: "ray.actor.ActorHandle", @@ -136,9 +125,13 @@ def _send_gpu_object( # Send tensors stored in the `src_actor`'s GPU object store to the # destination rank `dst_rank`. - src_actor.__ray_call__.remote(__ray_send__, communicator_name, obj_id, dst_rank) + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking the data transfer. + src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_send__, communicator_name, obj_id, dst_rank + ) - def _recv_gpu_object( + def _recv_object( self, communicator_name: str, dst_actor: "ray.actor.ActorHandle", @@ -150,11 +143,16 @@ def _recv_gpu_object( # Receive tensors from the source rank and store them in the # `dst_actor`'s GPU object store. - dst_actor.__ray_call__.remote( + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking the data transfer. Technically, + # this is only needed for the sender task, but we put the receiver task + # on the same background thread to ensure that all communication + # operations are executed in a global order. + dst_actor.__ray_call__.options(concurrency_group="_ray_system").remote( __ray_recv__, communicator_name, obj_id, src_rank, tensor_meta ) - def fetch_gpu_object(self, obj_id: str): + def fetch_object(self, obj_id: str): """ Fetches the GPU object from the source actor's GPU object store via the object store instead of out-of-band tensor transfer and stores the tensors in the local GPU object store. @@ -169,16 +167,21 @@ def fetch_gpu_object(self, obj_id: str): Returns: None """ + from ray.experimental.gpu_object_manager.gpu_object_store import ( + __ray_fetch_gpu_object__, + ) - if self.gpu_object_store.has_gpu_object(obj_id): + if self.gpu_object_store.has_object(obj_id): return gpu_object_meta = self.managed_gpu_object_metadata[obj_id] src_actor = gpu_object_meta.src_actor tensors = ray.get( - src_actor.__ray_call__.remote(__ray_fetch_gpu_object__, obj_id) + src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_fetch_gpu_object__, obj_id + ) ) - self.gpu_object_store.add_gpu_object(obj_id, tensors) + self.gpu_object_store.add_object(obj_id, tensors) def trigger_out_of_band_tensor_transfer( self, dst_actor: "ray.actor.ActorHandle", task_args: Tuple[Any, ...] @@ -207,7 +210,7 @@ def trigger_out_of_band_tensor_transfer( if not isinstance(arg, ObjectRef): continue - if not self.is_managed_gpu_object(arg.hex()): + if not self.is_managed_object(arg.hex()): continue # Import get_collective_groups here to avoid dependency on @@ -253,7 +256,30 @@ def trigger_out_of_band_tensor_transfer( # be transferred intra-process, so we skip the out-of-band tensor # transfer. continue - self._send_gpu_object(communicator.name, src_actor, arg.hex(), dst_rank) - self._recv_gpu_object( + self._send_object(communicator.name, src_actor, arg.hex(), dst_rank) + self._recv_object( communicator.name, dst_actor, arg.hex(), src_rank, tensor_meta ) + + def get_out_of_band_tensors(self, object_id: str) -> List["torch.Tensor"]: + """ + Get the out-of-band tensors for a given object ID. + """ + gpu_object_store = self.gpu_object_store + if self.is_managed_object(object_id): + self.fetch_object(object_id) + + # If the GPU object is the primary copy, it means the transfer is intra-actor. + # In this case, we should not remove the GPU object after it is consumed once, + # because the GPU object reference may be used again. + # Instead, we should wait for the GC callback to clean it up. + pop_object = not gpu_object_store.is_primary_copy(object_id) + if pop_object: + tensors = self.gpu_object_store.wait_and_pop_object( + object_id, timeout=ray_constants.FETCH_FAIL_TIMEOUT_SECONDS + ) + else: + tensors = self.gpu_object_store.wait_and_get_object( + object_id, timeout=ray_constants.FETCH_FAIL_TIMEOUT_SECONDS + ) + return tensors diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 67dc1827684f..a7397ec7e89a 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,4 +1,5 @@ from typing import Dict, List, Optional, Tuple, Set +import threading import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum @@ -40,10 +41,10 @@ def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): from ray._private.worker import global_worker gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - assert gpu_object_store.has_gpu_object( + assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_gpu_object(obj_id) + tensors = gpu_object_store.get_object(obj_id) backend = collective.get_group_handle(communicator_name).backend() device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] @@ -78,7 +79,19 @@ def __ray_recv__( tensor = torch.zeros(shape, dtype=dtype, device=device) collective.recv(tensor, src_rank, group_name=communicator_name) tensors.append(tensor) - gpu_object_store.add_gpu_object(obj_id, tensors) + gpu_object_store.add_object(obj_id, tensors) + + +def __ray_get_tensor_meta__(self, obj_id: str): + """Helper function that runs on the src actor to get the tensor metadata.""" + from ray._private.worker import global_worker + + gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + # NOTE: We do not specify a timeout here because the user task that returns + # it could take arbitrarily long and we don't want to trigger a spurious + # timeout. + tensors = gpu_object_store.wait_and_get_object(obj_id) + return [(t.shape, t.dtype) for t in tensors] def __ray_fetch_gpu_object__(self, obj_id: str): @@ -86,29 +99,46 @@ def __ray_fetch_gpu_object__(self, obj_id: str): from ray._private.worker import global_worker gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - assert gpu_object_store.has_gpu_object( + assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_gpu_object(obj_id) + tensors = gpu_object_store.get_object(obj_id) return tensors class GPUObjectStore: + """ + This class is thread-safe. The GPU object store is meant to be read and + written by the following threads: + 1. The main thread, which is executing user code. This thread may get, put, + and pop objects. + 2. The background _ray_system thread, which executes data transfers. This + thread may get and put objects. + 3. The background CoreWorker server thread, which executes garbage + collection callbacks that pop objects that are no longer in use. + """ + def __init__(self): # A dictionary that maps from an object ID to a list of tensors. # - # Note: Currently, `gpu_object_store` is only supported for Ray Actors. - self.gpu_object_store: Dict[str, List["torch.Tensor"]] = {} + # Note: Currently, `_gpu_object_store` is only supported for Ray Actors. + self._gpu_object_store: Dict[str, List["torch.Tensor"]] = {} + # Synchronization for GPU object store. + self._lock = threading.RLock() + # Signal when an object becomes present in the object store. + self._object_present_cv = threading.Condition(self._lock) # A set of object IDs that are the primary copy. - self.primary_gpu_object_ids: Set[str] = set() + self._primary_gpu_object_ids: Set[str] = set() - def has_gpu_object(self, obj_id: str) -> bool: - return obj_id in self.gpu_object_store + def has_object(self, obj_id: str) -> bool: + with self._lock: + return obj_id in self._gpu_object_store - def get_gpu_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: - return self.gpu_object_store[obj_id] + def get_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: + with self._lock: + return self._gpu_object_store[obj_id] - def add_gpu_object( + def add_object( self, obj_id: str, gpu_object: List["torch.Tensor"], @@ -122,23 +152,88 @@ def add_gpu_object( gpu_object: A list of tensors representing the GPU object. is_primary: Whether the GPU object is the primary copy. """ - if is_primary: - self.primary_gpu_object_ids.add(obj_id) - self.gpu_object_store[obj_id] = gpu_object + with self._object_present_cv: + if is_primary: + self._primary_gpu_object_ids.add(obj_id) + self._gpu_object_store[obj_id] = gpu_object + self._object_present_cv.notify_all() def is_primary_copy(self, obj_id: str) -> bool: - return obj_id in self.primary_gpu_object_ids + with self._lock: + return obj_id in self._primary_gpu_object_ids + + def wait_and_get_object( + self, obj_id: str, timeout: Optional[float] = None + ) -> List["torch.Tensor"]: + """Atomically waits for the GPU object to be present in the GPU object + store, then gets it. If the object is not present after the optional + timeout, raise a TimeoutError. - def remove_gpu_object(self, obj_id: str): + Args: + obj_id: The object ID to wait for. + timeout: The maximum time in seconds to wait for the object to be + present in the GPU object store. If not specified, wait indefinitely. + + Returns: + The tensors in the GPU object. """ - Remove the GPU object from the GPU object store. + with self._lock: + self._wait_object(obj_id, timeout) + return self.get_object(obj_id) + + def wait_and_pop_object( + self, obj_id: str, timeout: Optional[float] = None + ) -> List["torch.Tensor"]: + """Atomically waits for the GPU object to be present in the GPU object + store, then pops it. If the object is not present after the optional + timeout, raise a TimeoutError. Args: - obj_id: The object ID of the GPU object. + obj_id: The object ID to wait for. + timeout: The maximum time in seconds to wait for the object to be + present in the GPU object store. If not specified, wait + indefinitely. + + Returns: + The tensors in the GPU object. + """ + with self._lock: + self._wait_object(obj_id, timeout) + return self.pop_object(obj_id) + + def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: + """Helper method to wait for the GPU object to be present in the GPU object store. + If the object is not present after the optional timeout, raise a + TimeoutError. + + Args: + obj_id: The object ID to wait for. + timeout: The maximum time in seconds to wait for the object to be + present in the GPU object store. If not specified, wait + indefinitely. + """ + with self._object_present_cv: + present = self._object_present_cv.wait_for( + lambda: obj_id in self._gpu_object_store, timeout=timeout + ) + if not present: + raise TimeoutError( + f"ObjectRef({obj_id}) not found in GPU object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" + ) + + def pop_object(self, obj_id: str) -> List["torch.Tensor"]: + with self._lock: + assert ( + obj_id in self._gpu_object_store + ), f"obj_id={obj_id} not found in GPU object store" + tensors = self._gpu_object_store.pop(obj_id) + if obj_id in self._primary_gpu_object_ids: + self._primary_gpu_object_ids.remove(obj_id) + return tensors + + def get_num_objects(self) -> int: + """ + Return the number of objects in the GPU object store. """ - assert ( - obj_id in self.gpu_object_store - ), f"obj_id={obj_id} not found in GPU object store" - del self.gpu_object_store[obj_id] - if obj_id in self.primary_gpu_object_ids: - self.primary_gpu_object_ids.remove(obj_id) + with self._lock: + return len(self._gpu_object_store) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index c7c5a97b17c1..81713622bb0e 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -14,7 +14,7 @@ from tensordict import TensorDict -@ray.remote +@ray.remote(enable_tensor_transport=True) class GPUTestActor: @ray.method(tensor_transport="gloo") def echo(self, data): @@ -27,18 +27,17 @@ def double(self, data): return data.apply(lambda x: x * 2) return data * 2 - def get_gpu_object(self, obj_id: str): + def get_gpu_object(self, obj_id: str, timeout=None): gpu_object_store = ( ray._private.worker.global_worker.gpu_object_manager.gpu_object_store ) - if gpu_object_store.has_gpu_object(obj_id): - gpu_object = gpu_object_store.get_gpu_object(obj_id) - return gpu_object - return None + if timeout is None: + timeout = 0 + return gpu_object_store.wait_and_get_object(obj_id, timeout) def get_num_gpu_objects(self): gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager - return len(gpu_object_manager.gpu_object_store.gpu_object_store) + return gpu_object_manager.gpu_object_store.get_num_objects() @pytest.mark.parametrize("data_size_bytes", [100]) @@ -309,7 +308,7 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): gpu_object_manager.trigger_out_of_band_tensor_transfer(dst_actor, task_args) # Check dst_actor has the GPU object - ret_val_dst = ray.get(dst_actor.get_gpu_object.remote(gpu_obj_id)) + ret_val_dst = ray.get(dst_actor.get_gpu_object.remote(gpu_obj_id, timeout=10)) assert ret_val_dst is not None assert len(ret_val_dst) == 1 assert torch.equal(ret_val_dst[0], tensor) diff --git a/python/ray/tests/test_gpu_objects_nccl.py b/python/ray/tests/test_gpu_objects_nccl.py index 41ca3ba77370..f3e8bc409f20 100644 --- a/python/ray/tests/test_gpu_objects_nccl.py +++ b/python/ray/tests/test_gpu_objects_nccl.py @@ -5,7 +5,7 @@ from ray.experimental.collective import create_collective_group -@ray.remote(num_gpus=1, num_cpus=0) +@ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) class GPUTestActor: @ray.method(tensor_transport="nccl") def echo(self, data): From 9a2f1435f6f271752a5ec3fbd55f240d8fc170a3 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 29 Jul 2025 20:37:50 -0700 Subject: [PATCH 0390/1566] [Core] Making core worker unit testable (#54759) Refactoring core_worker.cc and core_worker_process.cc by moving all initialization logic of member variables from core_worker_process.cc to core_worker.cc. This will also us to inject the member variables using mock versions which will allow us to unit test core_worker.cc. Some initialization logic remains in core_worker.cc, this includes callbacks that are immediately run and require a valid core_worker (triggering a nullptr dereference if ran in core_worker_process.cc) or other functions that require a valid core_worker. A couple decisions I made in refactoring were: - marking the CoreWorkerProcessImpl as a friend in CoreWorker to access CoreWorker member variables/private methods. There's multiple cases where the initialization logic in the CoreWorker constructor refers to private methods or member variables which I can't refer to in CoreWorkerProcessImpl. I could either move these methods to public/make getters for the member variables but rather than expose these interfaces to everyone, I wanted to limit it to CoreWorkerProcessImpl - I moved the initialization of any io_context threads to CoreWorkerProcessImpl and kept references to it in CoreWorker as they must be started in CoreWorkerProcessImpl now - Added a proxy class to decouple the grpc service from CoreWorker so that it could be moved to CoreWorkerProcessImpl A couple outstanding bugs/things that annoy me are: - I left the lambdas that are run immediately (like those using the periodical_runner) in core_worker.cc while those that run later were moved to core_worker_process.cc. However its not clear to me which lambdas are run immediately and which aren't, and if we can guarantee that those I left in core_worker.cc will be not run until core_worker is fully initialized. I mainly decided what to leave and what to move through running a variety of python unit tests and seeing what broke which is not a good approach. Otherwise, a casual glance might leave someone with an impression that each call to GetCoreWorker() in a lambda could cause a crash --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 1 + src/ray/core_worker/core_worker.cc | 813 +++++--------------- src/ray/core_worker/core_worker.h | 192 +++-- src/ray/core_worker/core_worker_process.cc | 581 +++++++++++++- src/ray/core_worker/core_worker_process.h | 43 +- src/ray/core_worker/core_worker_rpc_proxy.h | 95 +++ 6 files changed, 1005 insertions(+), 720 deletions(-) create mode 100644 src/ray/core_worker/core_worker_rpc_proxy.h diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 0f4ad6e2bedc..0caa9d79e108 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -9,6 +9,7 @@ ray_cc_library( hdrs = [ "core_worker.h", "core_worker_process.h", + "core_worker_rpc_proxy.h", ], deps = [ ":actor_handle", diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index f61ef280de19..fce2b9192c9a 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -16,6 +16,7 @@ #include #include +#include #include #include #include @@ -261,177 +262,77 @@ void TaskCounter::UnsetMetricStatus(const std::string &func_name, } } -Status CoreWorker::RegisterWorkerToRaylet(raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *raylet_id, - int *port) { - flatbuffers::FlatBufferBuilder fbb; - // TODO(suquark): Use `WorkerType` in `common.proto` without converting to int. - auto message = - protocol::CreateRegisterClientRequest(fbb, - static_cast(worker_type), - to_flatbuf(fbb, worker_id), - getpid(), - startup_token, - to_flatbuf(fbb, job_id), - runtime_env_hash, - language, - fbb.CreateString(ip_address), - /*port=*/0, - fbb.CreateString(serialized_job_config)); - fbb.Finish(message); - // Register the process ID with the raylet. - // NOTE(swang): If raylet exits and we are registered as a worker, we will get killed. - std::vector reply; - auto request_status = conn.AtomicRequestReply( - MessageType::RegisterClientRequest, MessageType::RegisterClientReply, &reply, &fbb); - if (!request_status.ok()) { - return Status(request_status.code(), - std::string("[RayletClient] Unable to register worker with raylet. ") + - request_status.message()); - } - auto reply_message = flatbuffers::GetRoot(reply.data()); - bool success = reply_message->success(); - if (!success) { - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); - } - - *raylet_id = NodeID::FromBinary(reply_message->raylet_id()->str()); - *port = reply_message->port(); - return Status::OK(); -} - -CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) +CoreWorker::CoreWorker( + CoreWorkerOptions options, + std::unique_ptr worker_context, + instrumented_io_context &io_service, + std::unique_ptr client_call_manager, + std::shared_ptr core_worker_client_pool, + std::shared_ptr raylet_client_pool, + std::shared_ptr periodical_runner, + std::unique_ptr core_worker_server, + rpc::Address rpc_address, + std::shared_ptr gcs_client, + std::shared_ptr local_raylet_client, + boost::thread &io_thread, + std::shared_ptr reference_counter, + std::shared_ptr memory_store, + std::shared_ptr plasma_store_provider, + std::shared_ptr + experimental_mutable_object_provider, + std::unique_ptr future_resolver, + std::shared_ptr task_manager, + std::shared_ptr actor_creator, + std::unique_ptr actor_task_submitter, + std::unique_ptr object_info_publisher, + std::unique_ptr object_info_subscriber, + std::shared_ptr lease_request_rate_limiter, + std::unique_ptr normal_task_submitter, + std::unique_ptr object_recovery_manager, + std::unique_ptr actor_manager, + instrumented_io_context &task_execution_service, + std::unique_ptr task_event_buffer, + uint32_t pid) : options_(std::move(options)), get_call_site_(RayConfig::instance().record_ref_creation_sites() ? options_.get_lang_stack : nullptr), - worker_context_(options_.worker_type, worker_id, GetProcessJobID(options_)), - io_work_(io_service_.get_executor()), - client_call_manager_( - std::make_unique(io_service_, /*record_stats=*/false)), - periodical_runner_(PeriodicalRunner::Create(io_service_)), + worker_context_(std::move(worker_context)), + io_service_(io_service), + client_call_manager_(std::move(client_call_manager)), + core_worker_client_pool_(std::move(core_worker_client_pool)), + raylet_client_pool_(std::move(raylet_client_pool)), + periodical_runner_(std::move(periodical_runner)), + core_worker_server_(std::move(core_worker_server)), + rpc_address_(std::move(rpc_address)), + connected_(true), + gcs_client_(std::move(gcs_client)), + local_raylet_client_(std::move(local_raylet_client)), + io_thread_(io_thread), + reference_counter_(std::move(reference_counter)), + memory_store_(std::move(memory_store)), + plasma_store_provider_(std::move(plasma_store_provider)), + experimental_mutable_object_provider_( + std::move(experimental_mutable_object_provider)), + future_resolver_(std::move(future_resolver)), + task_manager_(std::move(task_manager)), + actor_creator_(std::move(actor_creator)), + actor_task_submitter_(std::move(actor_task_submitter)), + object_info_publisher_(std::move(object_info_publisher)), + object_info_subscriber_(std::move(object_info_subscriber)), + lease_request_rate_limiter_(std::move(lease_request_rate_limiter)), + normal_task_submitter_(std::move(normal_task_submitter)), + object_recovery_manager_(std::move(object_recovery_manager)), + actor_manager_(std::move(actor_manager)), + actor_id_(ActorID::Nil()), task_queue_length_(0), num_executed_tasks_(0), - task_execution_service_work_(task_execution_service_.get_executor()), + task_execution_service_(task_execution_service), exiting_detail_(std::nullopt), - pid_(getpid()), + max_direct_call_object_size_(RayConfig::instance().max_direct_call_object_size()), + task_event_buffer_(std::move(task_event_buffer)), + pid_(pid), runtime_env_json_serialization_cache_(kDefaultSerializationCacheCap) { - // Move worker process into cgroup on startup. - AppProcCgroupMetadata app_cgroup_metadata; - app_cgroup_metadata.pid = pid_; - app_cgroup_metadata.max_memory = kUnlimitedCgroupMemory; - GetCgroupSetup(options_.enable_resource_isolation) - .ApplyCgroupContext(app_cgroup_metadata); - - RAY_LOG(DEBUG) << "Creating core worker with debug source: " << options_.debug_source; - - // Notify that core worker is initialized. - absl::Cleanup initialzed_scope_guard = [this] { - absl::MutexLock lock(&initialize_mutex_); - initialized_ = true; - intialize_cv_.SignalAll(); - }; - RAY_LOG(DEBUG).WithField(worker_id) << "Constructing CoreWorker"; - - if (RayConfig::instance().kill_child_processes_on_worker_exit_with_raylet_subreaper()) { -#ifdef __linux__ - // Not setting sigchld = ignore: user may want to do waitpid on their own. - // If user's bad code causes a zombie process, it will hang their in zombie status - // until this worker exits and raylet reaps it. - if (SetThisProcessAsSubreaper()) { - RAY_LOG(INFO) << "Set this core_worker process as subreaper: " << getpid(); - SetSigchldIgnore(); - } else { - RAY_LOG(WARNING) - << "Failed to set this core_worker process as subreaper. If Raylet is set as " - "subreaper, user-spawn daemon processes may be killed by raylet."; - } -#else - RAY_LOG(WARNING) << "Subreaper is not supported on this platform. Raylet will not " - "kill unknown children."; -#endif - } - - task_event_buffer_ = std::make_unique( - std::make_shared(options_.gcs_options)); - - if (options_.worker_type != WorkerType::DRIVER) { - periodical_runner_->RunFnPeriodically( - [this] { ExitIfParentRayletDies(); }, - RayConfig::instance().raylet_death_check_interval_milliseconds(), - "CoreWorker.ExitIfParentRayletDies"); - } - - // Start the IO thread first to make sure the checker is working. - boost::thread::attributes io_thread_attrs; -#if defined(__APPLE__) - // io thread will run python code through cython - // but Mac's default stack size for non-main-thread is too small - // for certain python libraries like numpy and will cause sigbus. - // Here we increase the stack size to the size that python uses in - // https://github.com/python/cpython/blob/v3.9.0/Python/thread_pthread.h#L35. - // See https://github.com/ray-project/ray/issues/41094 for more details. - io_thread_attrs.set_stack_size(16777216); -#endif - io_thread_ = boost::thread(io_thread_attrs, [this]() { RunIOService(); }); - - if (options_.worker_type == WorkerType::DRIVER && - !options_.serialized_job_config.empty()) { - // Driver populates the job config via initialization. - // Workers populates it when the first task is received. - rpc::JobConfig job_config; - job_config.ParseFromString(options_.serialized_job_config); - worker_context_.MaybeInitializeJobInfo(worker_context_.GetCurrentJobID(), job_config); - } - - auto raylet_conn = std::make_unique( - io_service_, options_.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); - - NodeID local_raylet_id; - int assigned_port = 0; - - Status raylet_client_status = RegisterWorkerToRaylet(*raylet_conn, - GetWorkerID(), - options_.worker_type, - worker_context_.GetCurrentJobID(), - options_.runtime_env_hash, - options_.language, - options_.node_ip_address, - options_.serialized_job_config, - options_.startup_token, - &local_raylet_id, - &assigned_port); - if (!raylet_client_status.ok()) { - // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. - RAY_LOG(ERROR).WithField(worker_id) - << "Failed to register worker to Raylet: " << raylet_client_status; - QuickExit(); - } - RAY_CHECK_GE(assigned_port, 0); - - // Initialize raylet client. - // NOTE(edoakes): the core_worker_server_ must be running before registering with - // the raylet, as the raylet will start sending some RPC messages immediately. - // TODO(zhijunfu): currently RayletClient would crash in its constructor if it cannot - // connect to Raylet after a number of retries, this can be changed later - // so that the worker (java/python .etc) can retrieve and handle the error - // instead of crashing. - local_raylet_client_ = - std::make_shared(std::move(raylet_conn), - options_.raylet_ip_address, - options_.node_manager_port, - *client_call_manager_, - GetWorkerID()); - connected_ = true; - // Initialize task receivers. if (options_.worker_type == WorkerType::WORKER || options_.is_local_mode) { RAY_CHECK(options_.task_execution_callback != nullptr); @@ -455,220 +356,8 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) [this] { return local_raylet_client_->ActorCreationTaskDone(); }); } - // Start RPC server after all the task receivers are properly initialized and we have - // our assigned port from the raylet. - core_worker_server_ = - std::make_unique(WorkerTypeString(options_.worker_type), - assigned_port, - options_.node_ip_address == "127.0.0.1"); - - core_worker_server_->RegisterService( - std::make_unique(io_service_, *this), - false /* token_auth */); - core_worker_server_->Run(); - - // Set our own address. - RAY_CHECK(!local_raylet_id.IsNil()); - rpc_address_.set_ip_address(options_.node_ip_address); - rpc_address_.set_port(core_worker_server_->GetPort()); - rpc_address_.set_raylet_id(local_raylet_id.Binary()); - rpc_address_.set_worker_id(worker_context_.GetWorkerID().Binary()); - RAY_LOG(INFO).WithField(worker_context_.GetWorkerID()).WithField(local_raylet_id) - << "Initializing worker at address: " << rpc_address_.ip_address() << ":" - << rpc_address_.port(); - - gcs_client_ = std::make_shared(options_.gcs_options, GetWorkerID()); - - RAY_CHECK_OK(gcs_client_->Connect(io_service_)); RegisterToGcs(options_.worker_launch_time_ms, options_.worker_launched_time_ms); - if (RayConfig::instance().task_events_report_interval_ms() > 0) { - if (!task_event_buffer_->Start().ok()) { - RAY_CHECK(!task_event_buffer_->Enabled()) << "TaskEventBuffer should be disabled."; - } - } - - core_worker_client_pool_ = - std::make_shared([&](const rpc::Address &addr) { - return std::make_shared( - addr, - *client_call_manager_, - rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( - gcs_client_.get(), - core_worker_client_pool_.get(), - raylet_client_pool_.get(), - addr)); - }); - - raylet_client_pool_ = std::make_shared(*client_call_manager_); - - object_info_publisher_ = std::make_unique( - /*channels=*/ - std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, - rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, - rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, - /*periodical_runner=*/*periodical_runner_, - /*get_time_ms=*/[]() { return absl::GetCurrentTimeNanos() / 1e6; }, - /*subscriber_timeout_ms=*/RayConfig::instance().subscriber_timeout_ms(), - /*publish_batch_size_=*/RayConfig::instance().publish_batch_size(), - GetWorkerID()); - object_info_subscriber_ = std::make_unique( - /*subscriber_id=*/GetWorkerID(), - /*channels=*/ - std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, - rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, - rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, - /*max_command_batch_size*/ RayConfig::instance().max_command_batch_size(), - /*get_client=*/ - [this](const rpc::Address &address) { - return core_worker_client_pool_->GetOrConnect(address); - }, - /*callback_service*/ &io_service_); - - auto check_node_alive_fn = [this](const NodeID &node_id) { - auto node = gcs_client_->Nodes().Get(node_id); - return node != nullptr; - }; - reference_counter_ = std::make_shared( - rpc_address_, - /*object_info_publisher=*/object_info_publisher_.get(), - /*object_info_subscriber=*/object_info_subscriber_.get(), - check_node_alive_fn, - RayConfig::instance().lineage_pinning_enabled()); - - if (RayConfig::instance().max_pending_lease_requests_per_scheduling_category() > 0) { - lease_request_rate_limiter_ = std::make_shared( - RayConfig::instance().max_pending_lease_requests_per_scheduling_category()); - } else { - RAY_CHECK( - RayConfig::instance().max_pending_lease_requests_per_scheduling_category() != 0) - << "max_pending_lease_requests_per_scheduling_category can't be 0"; - lease_request_rate_limiter_ = - std::make_shared( - /*min_concurrent_lease_cap_*/ 10); - } - - // Register a callback to monitor add/removed nodes. - // Note we capture a shared ownership of reference_counter_ and rate_limiter - // here to avoid destruction order fiasco between gcs_client and reference_counter_. - auto on_node_change = [reference_counter = this->reference_counter_, - rate_limiter = this->lease_request_rate_limiter_]( - const NodeID &node_id, const rpc::GcsNodeInfo &data) { - if (data.state() == rpc::GcsNodeInfo::DEAD) { - RAY_LOG(INFO).WithField(node_id) - << "Node failure. All objects pinned on that node will be lost if object " - "reconstruction is not enabled."; - reference_counter->ResetObjectsOnRemovedNode(node_id); - } - auto cluster_size_based_rate_limiter = - dynamic_cast(rate_limiter.get()); - if (cluster_size_based_rate_limiter != nullptr) { - cluster_size_based_rate_limiter->OnNodeChanges(data); - } - }; - gcs_client_->Nodes().AsyncSubscribeToNodeChange(std::move(on_node_change), nullptr); - - plasma_store_provider_ = std::make_shared( - options_.store_socket, - local_raylet_client_, - *reference_counter_, - options_.check_signals, - /*warmup=*/ - (options_.worker_type != WorkerType::SPILL_WORKER && - options_.worker_type != WorkerType::RESTORE_WORKER), - /*get_current_call_site=*/boost::bind(&CoreWorker::CurrentCallSite, this)); - memory_store_ = std::make_shared( - io_service_, - reference_counter_.get(), - local_raylet_client_, - options_.check_signals, - [this](const RayObject &obj) { - rpc::ErrorType error_type; - if (obj.IsException(&error_type) && - error_type == rpc::ErrorType::END_OF_STREAMING_GENERATOR) { - // End-of-stream ObjectRefs are sentinels and should never get - // returned to the caller. - return; - } - // Run this on the event loop to avoid calling back into the language runtime - // from the middle of user operations. - io_service_.post( - [this, obj]() { - if (options_.unhandled_exception_handler != nullptr) { - options_.unhandled_exception_handler(obj); - } - }, - "CoreWorker.HandleException"); - }); - -#if defined(__APPLE__) || defined(__linux__) - auto raylet_channel_client_factory = [this](const NodeID &node_id) { - auto node_info = gcs_client_->Nodes().Get(node_id); - RAY_CHECK(node_info) << "No GCS info for node " << node_id; - ray::rpc::Address addr; - addr.set_ip_address(node_info->node_manager_address()); - addr.set_port(node_info->node_manager_port()); - addr.set_raylet_id(node_id.Binary()); - return raylet_client_pool_->GetOrConnectByAddress(addr); - }; - experimental_mutable_object_provider_ = - std::make_shared( - *plasma_store_provider_->store_client(), - raylet_channel_client_factory, - options_.check_signals); -#endif - - auto push_error_callback = [this](const JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) { - return PushError(job_id, type, error_message, timestamp); - }; - task_manager_ = std::make_shared( - *memory_store_, - *reference_counter_, - /*put_in_local_plasma_callback=*/ - [this](const RayObject &object, const ObjectID &object_id) { - RAY_CHECK_OK(PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true)); - }, - /* retry_task_callback= */ - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { - spec.GetMutableMessage().set_attempt_number(spec.AttemptNumber() + 1); - if (!object_recovery) { - // Retry after a delay to emulate the existing Raylet reconstruction - // behaviour. TODO(ekl) backoff exponentially. - RAY_LOG(INFO) << "Will resubmit task after a " << delay_ms - << "ms delay: " << spec.DebugString(); - absl::MutexLock lock(&mutex_); - TaskToRetry task_to_retry{current_time_ms() + delay_ms, spec}; - to_resubmit_.push(std::move(task_to_retry)); - } else { - if (spec.IsActorTask()) { - auto actor_handle = actor_manager_->GetActorHandle(spec.ActorId()); - actor_handle->SetResubmittedActorTaskSpec(spec); - RAY_CHECK_OK(actor_task_submitter_->SubmitTask(spec)); - } else { - RAY_CHECK(spec.IsNormalTask()); - RAY_CHECK_OK(normal_task_submitter_->SubmitTask(spec)); - } - } - }, - /*queue_generator_resubmit=*/ - [this](const TaskSpecification &spec) { - return spec.IsActorTask() - ? this->actor_task_submitter_->QueueGeneratorForResubmit(spec) - : this->normal_task_submitter_->QueueGeneratorForResubmit(spec); - }, - push_error_callback, - RayConfig::instance().max_lineage_bytes(), - *task_event_buffer_, - /*get_actor_rpc_client_callback=*/ - [this](const ActorID &actor_id) { - auto addr = actor_task_submitter_->GetActorAddress(actor_id); - RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; - return core_worker_client_pool_->GetOrConnect(addr.value()); - }); - // Create an entry for the driver task in the task table. This task is // added immediately with status RUNNING. This allows us to push errors // related to this driver task back to the driver. For example, if the @@ -677,10 +366,10 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) // rerun the driver. if (options_.worker_type == WorkerType::DRIVER) { TaskSpecBuilder builder; - const TaskID task_id = TaskID::ForDriverTask(worker_context_.GetCurrentJobID()); + const TaskID task_id = TaskID::ForDriverTask(worker_context_->GetCurrentJobID()); builder.SetDriverTaskSpec(task_id, options_.language, - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentJobID(), // Driver has no parent task /* parent_task_id */ TaskID::Nil(), GetCallerId(), @@ -705,133 +394,12 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) } } - auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { - auto timestamp = std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()) - .count(); - std::ostringstream stream; - stream << "Warning: More than " << num_queued - << " tasks are pending submission to actor " << actor_id - << ". To reduce memory usage, wait for these tasks to finish before sending " - "more."; - RAY_CHECK_OK( - PushError(options_.job_id, "excess_queueing_warning", stream.str(), timestamp)); - }; - - actor_creator_ = std::make_shared(gcs_client_); - - actor_task_submitter_ = std::make_unique( - *core_worker_client_pool_, - *memory_store_, - *task_manager_, - *actor_creator_, - /*tensor_transport_getter=*/ - [this](const ObjectID &object_id) { - return reference_counter_->GetTensorTransport(object_id); - }, - on_excess_queueing, - io_service_, - reference_counter_); - - auto node_addr_factory = [this](const NodeID &node_id) { - std::optional addr; - if (auto node_info = gcs_client_->Nodes().Get(node_id)) { - rpc::Address address; - address.set_raylet_id(node_info->node_id()); - address.set_ip_address(node_info->node_manager_address()); - address.set_port(node_info->node_manager_port()); - addr = address; - } - return addr; - }; - auto lease_policy = RayConfig::instance().locality_aware_leasing_enabled() - ? std::unique_ptr( - std::make_unique( - *reference_counter_, node_addr_factory, rpc_address_)) - : std::unique_ptr( - std::make_unique(rpc_address_)); - - normal_task_submitter_ = std::make_unique( - rpc_address_, - local_raylet_client_, - core_worker_client_pool_, - raylet_client_pool_, - std::move(lease_policy), - memory_store_, - *task_manager_, - local_raylet_id, - GetWorkerType(), - RayConfig::instance().worker_lease_timeout_milliseconds(), - actor_creator_, - worker_context_.GetCurrentJobID(), - lease_request_rate_limiter_, - /*tensor_transport_getter=*/ - [](const ObjectID &object_id) { - // Currently, out-of-band tensor transport (i.e., GPU objects) is only - // supported for actor tasks. Therefore, normal tasks should always use - // OBJECT_STORE. - return rpc::TensorTransport::OBJECT_STORE; - }, - boost::asio::steady_timer(io_service_)); - auto report_locality_data_callback = [this]( - const ObjectID &object_id, - const absl::flat_hash_set &locations, - uint64_t object_size) { - reference_counter_->ReportLocalityData(object_id, locations, object_size); - }; - future_resolver_ = - std::make_unique(memory_store_, - reference_counter_, - std::move(report_locality_data_callback), - core_worker_client_pool_, - rpc_address_); - - actor_manager_ = std::make_unique( - gcs_client_, *actor_task_submitter_, *reference_counter_); - - std::function - object_lookup_fn = [this, node_addr_factory](const ObjectID &object_id, - const ObjectLookupCallback &callback) { - std::vector locations; - const std::optional> object_locations = - reference_counter_->GetObjectLocations(object_id); - if (object_locations.has_value()) { - locations.reserve(object_locations.value().size()); - for (const auto &node_id : object_locations.value()) { - std::optional addr = node_addr_factory(node_id); - if (addr.has_value()) { - locations.emplace_back(std::move(addr.value())); - continue; - } - // We're getting potentially stale locations directly from the reference - // counter, so the location might be a dead node. - RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) - << "Object location is dead, not using it in the recovery of object"; - } - } - callback(object_id, std::move(locations)); - return Status::OK(); - }; - object_recovery_manager_ = std::make_unique( - rpc_address_, - raylet_client_pool_, - local_raylet_client_, - object_lookup_fn, - *task_manager_, - *reference_counter_, - *memory_store_, - [this](const ObjectID &object_id, rpc::ErrorType reason, bool pin_object) { - RAY_LOG(DEBUG).WithField(object_id) - << "Failed to recover object due to " << rpc::ErrorType_Name(reason); - // We should throw the object error to the application. - RAY_UNUSED(Put(RayObject(reason), - /*contained_object_ids=*/{}, - object_id, - /*pin_object=*/pin_object)); - }); - - // Used to detect if the object is in the plasma store. - max_direct_call_object_size_ = RayConfig::instance().max_direct_call_object_size(); + if (options_.worker_type != WorkerType::DRIVER) { + periodical_runner_->RunFnPeriodically( + [this] { ExitIfParentRayletDies(); }, + RayConfig::instance().raylet_death_check_interval_milliseconds(), + "CoreWorker.ExitIfParentRayletDies"); + } /// If periodic asio stats print is enabled, it will print it. const auto event_stats_print_interval_ms = @@ -852,11 +420,6 @@ CoreWorker::CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id) "CoreWorker.PrintEventStats"); } - // Set event context for current core worker thread. - RayEventContext::Instance().SetEventContext( - ray::rpc::Event_SourceType::Event_SourceType_CORE_WORKER, - {{"worker_id", worker_id.Hex()}}); - periodical_runner_->RunFnPeriodically( [this] { const auto lost_objects = reference_counter_->FlushObjectsToRecover(); @@ -935,7 +498,7 @@ void CoreWorker::Shutdown() { // running in a different thread. This can cause segfault because coroutines try to // access CoreWorker methods that are already garbage collected. We should complete // all coroutines before shutting down in order to prevent this. - if (worker_context_.CurrentActorIsAsync()) { + if (worker_context_->CurrentActorIsAsync()) { options_.terminate_asyncio_thread(); } task_execution_service_.stop(); @@ -993,8 +556,8 @@ void CoreWorker::Disconnect( if (options_.worker_type == WorkerType::DRIVER && task_event_buffer_->Enabled() && !RayConfig::instance().task_events_skip_driver_for_test()) { auto task_event = std::make_unique( - worker_context_.GetCurrentTaskID(), - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentTaskID(), + worker_context_->GetCurrentJobID(), /* attempt_number */ 0, rpc::TaskStatus::FINISHED, /* timestamp */ absl::GetCurrentTimeNanos()); @@ -1185,26 +748,12 @@ void CoreWorker::ForceExit(const rpc::WorkerExitType exit_type, QuickExit(); } -void CoreWorker::RunIOService() { -#ifndef _WIN32 - // Block SIGINT and SIGTERM so they will be handled by the main thread. - sigset_t mask; - sigemptyset(&mask); - sigaddset(&mask, SIGINT); - sigaddset(&mask, SIGTERM); - pthread_sigmask(SIG_BLOCK, &mask, nullptr); -#endif - SetThreadName("worker.io"); - io_service_.run(); - RAY_LOG(INFO) << "Core worker main io service stopped."; -} - -const WorkerID &CoreWorker::GetWorkerID() const { return worker_context_.GetWorkerID(); } +const WorkerID &CoreWorker::GetWorkerID() const { return worker_context_->GetWorkerID(); } void CoreWorker::SetCurrentTaskId(const TaskID &task_id, uint64_t attempt_number, const std::string &task_name) { - worker_context_.SetCurrentTaskId(task_id, attempt_number); + worker_context_->SetCurrentTaskId(task_id, attempt_number); { absl::MutexLock lock(&mutex_); main_thread_task_id_ = task_id; @@ -1236,6 +785,7 @@ void CoreWorker::RegisterToGcs(int64_t worker_launch_time_ms, worker_data->mutable_worker_address()->set_ip_address(rpc_address_.ip_address()); worker_data->mutable_worker_address()->set_port(rpc_address_.port()); worker_data->mutable_worker_address()->set_worker_id(worker_id.Binary()); + worker_data->set_worker_type(options_.worker_type); worker_data->mutable_worker_info()->insert(std::make_move_iterator(worker_info.begin()), std::make_move_iterator(worker_info.end())); @@ -1441,8 +991,8 @@ void CoreWorker::RegisterOwnershipInfoAndResolveFuture( Status CoreWorker::Put(const RayObject &object, const std::vector &contained_object_ids, ObjectID *object_id) { - *object_id = ObjectID::FromIndex(worker_context_.GetCurrentInternalTaskId(), - worker_context_.GetNextPutIndex()); + *object_id = ObjectID::FromIndex(worker_context_->GetCurrentInternalTaskId(), + worker_context_->GetNextPutIndex()); reference_counter_->AddOwnedObject(*object_id, contained_object_ids, rpc_address_, @@ -1520,8 +1070,8 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( if (!status.ok()) { return status; } - *object_id = ObjectID::FromIndex(worker_context_.GetCurrentInternalTaskId(), - worker_context_.GetNextPutIndex()); + *object_id = ObjectID::FromIndex(worker_context_->GetCurrentInternalTaskId(), + worker_context_->GetNextPutIndex()); rpc::Address real_owner_address = owner_address != nullptr ? *owner_address : rpc_address_; bool owned_by_us = real_owner_address.worker_id() == rpc_address_.worker_id(); @@ -1757,7 +1307,7 @@ Status CoreWorker::Get(const std::vector &ids, if (options_.worker_type == WorkerType::WORKER) { // We track the state change only from workers. state = std::make_unique( - worker_context_, task_counter_, rpc::TaskStatus::RUNNING_IN_RAY_GET); + *worker_context_, task_counter_, rpc::TaskStatus::RUNNING_IN_RAY_GET); } results.resize(ids.size(), nullptr); @@ -1839,7 +1389,7 @@ Status CoreWorker::GetObjects(const std::vector &ids, if (!memory_object_ids.empty()) { RAY_RETURN_NOT_OK(memory_store_->Get( - memory_object_ids, timeout_ms, worker_context_, &result_map, &got_exception)); + memory_object_ids, timeout_ms, *worker_context_, &result_map, &got_exception)); } // Erase any objects that were promoted to plasma from the results. These get @@ -1865,7 +1415,7 @@ Status CoreWorker::GetObjects(const std::vector &ids, RAY_LOG(DEBUG) << "Plasma GET timeout " << local_timeout_ms; RAY_RETURN_NOT_OK(plasma_store_provider_->Get(plasma_object_ids, local_timeout_ms, - worker_context_, + *worker_context_, &result_map, &got_exception)); } @@ -1942,7 +1492,7 @@ Status CoreWorker::Wait(const std::vector &ids, if (options_.worker_type == WorkerType::WORKER) { // We track the state change only from workers. state = std::make_unique( - worker_context_, task_counter_, rpc::TaskStatus::RUNNING_IN_RAY_WAIT); + *worker_context_, task_counter_, rpc::TaskStatus::RUNNING_IN_RAY_WAIT); } results->resize(ids.size(), false); @@ -1997,7 +1547,7 @@ Status CoreWorker::Wait(const std::vector &ids, memory_object_ids, std::min(static_cast(memory_object_ids.size()), num_objects), timeout_ms, - worker_context_, + *worker_context_, &ready, &plasma_object_ids)); RAY_CHECK(static_cast(ready.size()) <= num_objects); @@ -2015,7 +1565,7 @@ Status CoreWorker::Wait(const std::vector &ids, std::min(static_cast(plasma_object_ids.size()), num_objects - static_cast(ready.size())), timeout_ms, - worker_context_, + *worker_context_, &ready)); } } else { @@ -2051,7 +1601,7 @@ Status CoreWorker::Delete(const std::vector &object_ids, bool local_on } // Send a batch delete call per owner id. for (const auto &entry : by_owner) { - if (entry.first != worker_context_.GetWorkerID()) { + if (entry.first != worker_context_->GetWorkerID()) { RAY_LOG(INFO).WithField(entry.first) << "Deleting remote objects " << entry.second.size(); auto conn = core_worker_client_pool_->GetOrConnect(addresses[entry.first]); @@ -2272,22 +1822,23 @@ std::shared_ptr CoreWorker::OverrideTaskOrActorRuntimeEnvIn if (options_.worker_type == WorkerType::DRIVER) { if (IsRuntimeEnvEmpty(runtime_env_info->serialized_runtime_env())) { return std::make_shared( - worker_context_.GetCurrentJobConfig().runtime_env_info()); + worker_context_->GetCurrentJobConfig().runtime_env_info()); } - auto job_serialized_runtime_env = - worker_context_.GetCurrentJobConfig().runtime_env_info().serialized_runtime_env(); + auto job_serialized_runtime_env = worker_context_->GetCurrentJobConfig() + .runtime_env_info() + .serialized_runtime_env(); if (!IsRuntimeEnvEmpty(job_serialized_runtime_env)) { parent = std::make_shared(json::parse(job_serialized_runtime_env)); } parent_runtime_env_info = std::make_shared( - worker_context_.GetCurrentJobConfig().runtime_env_info()); + worker_context_->GetCurrentJobConfig().runtime_env_info()); } else { if (IsRuntimeEnvEmpty(runtime_env_info->serialized_runtime_env())) { - return worker_context_.GetCurrentRuntimeEnvInfo(); + return worker_context_->GetCurrentRuntimeEnvInfo(); } - parent = worker_context_.GetCurrentRuntimeEnv(); - parent_runtime_env_info = worker_context_.GetCurrentRuntimeEnvInfo(); + parent = worker_context_->GetCurrentRuntimeEnv(); + parent_runtime_env_info = worker_context_->GetCurrentRuntimeEnvInfo(); } if (parent == nullptr) { return runtime_env_info; @@ -2369,7 +1920,7 @@ void CoreWorker::BuildCommonTaskSpec( function.GetFunctionDescriptor(), job_id, include_job_config - ? std::optional(worker_context_.GetCurrentJobConfig()) + ? std::optional(worker_context_->GetCurrentJobConfig()) : std::optional(), current_task_id, task_index, @@ -2430,9 +1981,9 @@ std::vector CoreWorker::SubmitTask( rpc::SchedulingStrategy::SchedulingStrategyCase::SCHEDULING_STRATEGY_NOT_SET); TaskSpecBuilder builder; - const auto next_task_index = worker_context_.GetNextTaskIndex(); - const auto task_id = TaskID::ForNormalTask(worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentInternalTaskId(), + const auto next_task_index = worker_context_->GetNextTaskIndex(); + const auto task_id = TaskID::ForNormalTask(worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentInternalTaskId(), next_task_index); auto constrained_resources = AddPlacementGroupConstraint(task_options.resources, scheduling_strategy); @@ -2440,16 +1991,16 @@ std::vector CoreWorker::SubmitTask( auto task_name = task_options.name.empty() ? function.GetFunctionDescriptor()->DefaultTaskName() : task_options.name; - int64_t depth = worker_context_.GetTaskDepth() + 1; + int64_t depth = worker_context_->GetTaskDepth() + 1; // TODO(ekl) offload task building onto a thread pool for performance BuildCommonTaskSpec(builder, - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentJobID(), task_id, task_name, current_task_id != TaskID::Nil() ? current_task_id - : worker_context_.GetCurrentTaskID(), + : worker_context_->GetCurrentTaskID(), next_task_index, GetCallerId(), rpc_address_, @@ -2462,7 +2013,7 @@ std::vector CoreWorker::SubmitTask( depth, task_options.serialized_runtime_env_info, call_site, - worker_context_.GetMainThreadOrActorCreationTaskID(), + worker_context_->GetMainThreadOrActorCreationTaskID(), /*concurrency_group_name*/ "", /*include_job_config*/ true, /*generator_backpressure_num_objects*/ @@ -2471,8 +2022,8 @@ std::vector CoreWorker::SubmitTask( task_options.labels, task_options.label_selector); ActorID root_detached_actor_id; - if (!worker_context_.GetRootDetachedActorID().IsNil()) { - root_detached_actor_id = worker_context_.GetRootDetachedActorID(); + if (!worker_context_->GetRootDetachedActorID().IsNil()) { + root_detached_actor_id = worker_context_->GetRootDetachedActorID(); } builder.SetNormalTaskSpec(max_retries, retry_exceptions, @@ -2515,18 +2066,18 @@ Status CoreWorker::CreateActor(const RayFunction &function, if (!actor_creation_options.is_detached.has_value()) { /// Since this actor doesn't have a specified lifetime on creation, let's use /// the default value of the job. - is_detached = worker_context_.GetCurrentJobConfig().default_actor_lifetime() == + is_detached = worker_context_->GetCurrentJobConfig().default_actor_lifetime() == ray::rpc::JobConfig_ActorLifetime_DETACHED; } else { is_detached = actor_creation_options.is_detached.value(); } - const auto next_task_index = worker_context_.GetNextTaskIndex(); - const ActorID actor_id = ActorID::Of(worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentTaskID(), + const auto next_task_index = worker_context_->GetNextTaskIndex(); + const ActorID actor_id = ActorID::Of(worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentTaskID(), next_task_index); const TaskID actor_creation_task_id = TaskID::ForActorCreationTask(actor_id); - const JobID job_id = worker_context_.GetCurrentJobID(); + const JobID job_id = worker_context_->GetCurrentJobID(); // Propagate existing environment variable overrides, but override them with any new // ones TaskSpecBuilder builder; @@ -2540,12 +2091,12 @@ Status CoreWorker::CreateActor(const RayFunction &function, actor_name.empty() ? function.GetFunctionDescriptor()->DefaultTaskName() : actor_name + ":" + function.GetFunctionDescriptor()->CallString(); - int64_t depth = worker_context_.GetTaskDepth() + 1; + int64_t depth = worker_context_->GetTaskDepth() + 1; BuildCommonTaskSpec(builder, job_id, actor_creation_task_id, task_name, - worker_context_.GetCurrentTaskID(), + worker_context_->GetCurrentTaskID(), next_task_index, GetCallerId(), rpc_address_, @@ -2558,7 +2109,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, depth, actor_creation_options.serialized_runtime_env_info, call_site, - worker_context_.GetMainThreadOrActorCreationTaskID(), + worker_context_->GetMainThreadOrActorCreationTaskID(), /*concurrency_group_name*/ "", /*include_job_config*/ true, /*generator_backpressure_num_objects*/ -1, @@ -2568,7 +2119,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, // If the namespace is not specified, get it from the job. const auto ray_namespace = (actor_creation_options.ray_namespace.empty() - ? worker_context_.GetCurrentJobConfig().ray_namespace() + ? worker_context_->GetCurrentJobConfig().ray_namespace() : actor_creation_options.ray_namespace); auto actor_handle = std::make_unique( actor_id, @@ -2591,8 +2142,8 @@ Status CoreWorker::CreateActor(const RayFunction &function, ActorID root_detached_actor_id; if (is_detached) { root_detached_actor_id = actor_id; - } else if (!worker_context_.GetRootDetachedActorID().IsNil()) { - root_detached_actor_id = worker_context_.GetRootDetachedActorID(); + } else if (!worker_context_->GetRootDetachedActorID().IsNil()) { + root_detached_actor_id = worker_context_->GetRootDetachedActorID(); } builder.SetActorCreationTaskSpec(actor_id, serialized_actor_handle, @@ -2715,9 +2266,9 @@ Status CoreWorker::CreatePlacementGroup( placement_group_creation_options.is_detached, placement_group_creation_options.max_cpu_fraction_per_node, placement_group_creation_options.soft_target_node_id, - worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentActorID(), - worker_context_.CurrentActorDetached(), + worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentActorID(), + worker_context_->CurrentActorDetached(), placement_group_creation_options.bundle_label_selector); PlacementGroupSpecification placement_group_spec = builder.Build(); *return_placement_group_id = placement_group_id; @@ -2802,10 +2353,10 @@ Status CoreWorker::SubmitActorTask( // Build common task spec. TaskSpecBuilder builder; - const auto next_task_index = worker_context_.GetNextTaskIndex(); + const auto next_task_index = worker_context_->GetNextTaskIndex(); const TaskID actor_task_id = - TaskID::ForActorTask(worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentInternalTaskId(), + TaskID::ForActorTask(worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentInternalTaskId(), next_task_index, actor_handle->GetActorID()); const std::unordered_map required_resources; @@ -2815,14 +2366,14 @@ Status CoreWorker::SubmitActorTask( // The depth of the actor task is depth of the caller + 1 // The caller is not necessarily the creator of the actor. - int64_t depth = worker_context_.GetTaskDepth() + 1; + int64_t depth = worker_context_->GetTaskDepth() + 1; BuildCommonTaskSpec(builder, actor_handle->CreationJobID(), actor_task_id, task_name, current_task_id != TaskID::Nil() ? current_task_id - : worker_context_.GetCurrentTaskID(), + : worker_context_->GetCurrentTaskID(), next_task_index, GetCallerId(), rpc_address_, @@ -2835,7 +2386,7 @@ Status CoreWorker::SubmitActorTask( depth, /*depth*/ "{}", /* serialized_runtime_env_info */ call_site, - worker_context_.GetMainThreadOrActorCreationTaskID(), + worker_context_->GetMainThreadOrActorCreationTaskID(), task_options.concurrency_group_name, /*include_job_config*/ false, /*generator_backpressure_num_objects*/ @@ -3051,7 +2602,7 @@ std::pair, Status> CoreWorker::GetNamedActorH return actor_manager_->GetNamedActorHandle( name, - ray_namespace.empty() ? worker_context_.GetCurrentJobConfig().ray_namespace() + ray_namespace.empty() ? worker_context_->GetCurrentJobConfig().ray_namespace() : ray_namespace, CurrentCallSite(), rpc_address_); @@ -3067,7 +2618,7 @@ CoreWorker::ListNamedActors(bool all_namespaces) { // This call needs to be blocking because we can't return until we get the // response from the RPC. - const auto ray_namespace = worker_context_.GetCurrentJobConfig().ray_namespace(); + const auto ray_namespace = worker_context_->GetCurrentJobConfig().ray_namespace(); auto status = gcs_client_->Actors().SyncListNamedActors(all_namespaces, ray_namespace, actors); if (status.IsTimedOut()) { @@ -3115,7 +2666,7 @@ ResourceMappingType CoreWorker::GetResourceIDs() const { std::unique_ptr CoreWorker::CreateProfileEvent( const std::string &event_name) { return std::make_unique( - *task_event_buffer_, worker_context_, options_.node_ip_address, event_name); + *task_event_buffer_, *worker_context_, options_.node_ip_address, event_name); } void CoreWorker::RunTaskExecutionLoop() { @@ -3124,7 +2675,7 @@ void CoreWorker::RunTaskExecutionLoop() { signal_checker->RunFnPeriodically( [this] { /// The overhead of this is only a single digit microsecond. - if (worker_context_.GetCurrentActorShouldExit()) { + if (worker_context_->GetCurrentActorShouldExit()) { Exit(rpc::WorkerExitType::INTENDED_USER_EXIT, "User requested to exit the actor.", nullptr); @@ -3242,7 +2793,7 @@ Status CoreWorker::ExecuteTask( /* include_task_info */ false, update)); - worker_context_.SetCurrentTask(task_spec); + worker_context_->SetCurrentTask(task_spec); SetCurrentTaskId(task_spec.TaskId(), task_spec.AttemptNumber(), task_spec.GetName()); } { @@ -3275,7 +2826,7 @@ Status CoreWorker::ExecuteTask( for (const auto &dynamic_return_id : task_spec.DynamicReturnIds()) { // Increase the put index so that when the generator creates a new obj // the object id won't conflict. - worker_context_.GetNextPutIndex(); + worker_context_->GetNextPutIndex(); dynamic_return_objects->emplace_back(dynamic_return_id, std::shared_ptr()); RAY_LOG(DEBUG) << "Re-executed task " << task_spec.TaskId() @@ -3373,7 +2924,7 @@ Status CoreWorker::ExecuteTask( if (!options_.is_local_mode) { SetCurrentTaskId(TaskID::Nil(), /*attempt_number=*/0, /*task_name=*/""); - worker_context_.ResetCurrentTask(); + worker_context_->ResetCurrentTask(); } { absl::MutexLock lock(&mutex_); @@ -3504,7 +3055,7 @@ bool CoreWorker::PinExistingReturnObject(const ObjectID &return_id, reference_counter_->AddBorrowedObject(return_id, ObjectID::Nil(), owner_address); auto status = plasma_store_provider_->Get( - {return_id}, 0, worker_context_, &result_map, &got_exception); + {return_id}, 0, *worker_context_, &result_map, &got_exception); // Remove the temporary ref. RemoveLocalReference(return_id); @@ -3550,7 +3101,7 @@ bool CoreWorker::PinExistingReturnObject(const ObjectID &return_id, ObjectID CoreWorker::AllocateDynamicReturnId(const rpc::Address &owner_address, const TaskID &task_id, std::optional put_index) { - const auto return_id = worker_context_.GetGeneratorReturnId(task_id, put_index); + const auto return_id = worker_context_->GetGeneratorReturnId(task_id, put_index); AddLocalReference(return_id, ""); reference_counter_->AddBorrowedObject(return_id, ObjectID::Nil(), owner_address); return return_id; @@ -3768,11 +3319,11 @@ Status CoreWorker::GetAndPinArgsForExecutor(const TaskSpecification &task, bool got_exception = false; absl::flat_hash_map> result_map; if (options_.is_local_mode) { - RAY_RETURN_NOT_OK( - memory_store_->Get(by_ref_ids, -1, worker_context_, &result_map, &got_exception)); + RAY_RETURN_NOT_OK(memory_store_->Get( + by_ref_ids, -1, *worker_context_, &result_map, &got_exception)); } else { RAY_RETURN_NOT_OK(plasma_store_provider_->Get( - by_ref_ids, -1, worker_context_, &result_map, &got_exception)); + by_ref_ids, -1, *worker_context_, &result_map, &got_exception)); } for (const auto &it : result_map) { for (size_t idx : by_ref_indices[it.first]) { @@ -3800,20 +3351,20 @@ void CoreWorker::HandlePushTask(rpc::PushTaskRequest request, // Handle duplicate actor creation tasks that might be sent from the GCS on restart. // Ignore the message and reply OK. - if (worker_context_.GetCurrentActorID() == actor_id) { + if (worker_context_->GetCurrentActorID() == actor_id) { RAY_LOG(INFO) << "Ignoring duplicate actor creation task for actor " << actor_id << ". This is likely due to a GCS server restart."; send_reply_callback(Status::OK(), nullptr, nullptr); return; } - worker_context_.SetCurrentActorId(actor_id); + worker_context_->SetCurrentActorId(actor_id); } // Set job info in the worker context. if (request.task_spec().type() == TaskType::ACTOR_CREATION_TASK || request.task_spec().type() == TaskType::NORMAL_TASK) { auto job_id = JobID::FromBinary(request.task_spec().job_id()); - worker_context_.MaybeInitializeJobInfo(job_id, request.task_spec().job_config()); + worker_context_->MaybeInitializeJobInfo(job_id, request.task_spec().job_config()); task_counter_.SetJobId(job_id); } @@ -3966,6 +3517,8 @@ void CoreWorker::HandleWaitForActorRefDeleted( rpc::WaitForActorRefDeletedRequest request, rpc::WaitForActorRefDeletedReply *reply, rpc::SendReplyCallback send_reply_callback) { + const auto actor_id = ActorID::FromBinary(request.actor_id()); + if (HandleWrongRecipient(WorkerID::FromBinary(request.intended_worker_id()), send_reply_callback)) { return; @@ -3978,7 +3531,6 @@ void CoreWorker::HandleWaitForActorRefDeleted( send_reply_callback(Status::OK(), nullptr, nullptr); }; - const auto actor_id = ActorID::FromBinary(request.actor_id()); if (actor_creator_->IsActorInRegistering(actor_id)) { actor_creator_->AsyncWaitForActorRegisterFinish( actor_id, [this, actor_id, respond = std::move(respond)](const auto &status) { @@ -4012,11 +3564,11 @@ void CoreWorker::ProcessSubscribeForObjectEviction( const auto object_id = ObjectID::FromBinary(message.object_id()); const auto intended_worker_id = WorkerID::FromBinary(message.intended_worker_id()); - if (intended_worker_id != worker_context_.GetWorkerID()) { + if (intended_worker_id != worker_context_->GetWorkerID()) { RAY_LOG(INFO).WithField(object_id) << "The SubscribeForObjectEviction message for object is for worker " << intended_worker_id << ", but the current worker is " - << worker_context_.GetWorkerID() << ". The RPC will be no-op."; + << worker_context_->GetWorkerID() << ". The RPC will be no-op."; unpin_object(object_id); return; } @@ -4228,10 +3780,10 @@ void CoreWorker::ProcessSubscribeObjectLocations( const auto intended_worker_id = WorkerID::FromBinary(message.intended_worker_id()); const auto object_id = ObjectID::FromBinary(message.object_id()); - if (intended_worker_id != worker_context_.GetWorkerID()) { + if (intended_worker_id != worker_context_->GetWorkerID()) { RAY_LOG(INFO) << "The ProcessSubscribeObjectLocations message is for worker " << intended_worker_id << ", but the current worker is " - << worker_context_.GetWorkerID() << ". The RPC will be no-op."; + << worker_context_->GetWorkerID() << ". The RPC will be no-op."; object_info_publisher_->PublishFailure( rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL, object_id.Binary()); return; @@ -4286,10 +3838,10 @@ void CoreWorker::ProcessSubscribeForRefRemoved( boost::bind(&ReferenceCounter::HandleRefRemoved, reference_counter_, object_id); const auto intended_worker_id = WorkerID::FromBinary(message.intended_worker_id()); - if (intended_worker_id != worker_context_.GetWorkerID()) { + if (intended_worker_id != worker_context_->GetWorkerID()) { RAY_LOG(INFO) << "The ProcessSubscribeForRefRemoved message is for worker " << intended_worker_id << ", but the current worker is " - << worker_context_.GetWorkerID() << ". The RPC will be no-op."; + << worker_context_->GetWorkerID() << ". The RPC will be no-op."; ref_removed_callback(object_id); return; } @@ -4315,7 +3867,7 @@ void CoreWorker::HandleCancelTask(rpc::CancelTaskRequest request, TaskID task_id = TaskID::FromBinary(request.intended_task_id()); bool force_kill = request.force_kill(); bool recursive = request.recursive(); - const auto ¤t_actor_id = worker_context_.GetCurrentActorID(); + const auto ¤t_actor_id = worker_context_->GetCurrentActorID(); const auto caller_worker_id = WorkerID::FromBinary(request.caller_worker_id()); auto on_cancel_callback = [this, @@ -4398,7 +3950,7 @@ void CoreWorker::CancelActorTaskOnExecutor(WorkerID caller_worker_id, bool recursive, OnCanceledCallback on_canceled) { RAY_CHECK(!force_kill); - auto is_async_actor = worker_context_.CurrentActorIsAsync(); + auto is_async_actor = worker_context_->CurrentActorIsAsync(); auto cancel = [this, task_id, @@ -4459,11 +4011,11 @@ void CoreWorker::HandleKillActor(rpc::KillActorRequest request, rpc::KillActorReply *reply, rpc::SendReplyCallback send_reply_callback) { ActorID intended_actor_id = ActorID::FromBinary(request.intended_actor_id()); - if (intended_actor_id != worker_context_.GetCurrentActorID()) { + if (intended_actor_id != worker_context_->GetCurrentActorID()) { std::ostringstream stream; stream << "Mismatched ActorID: ignoring KillActor for previous actor " << intended_actor_id - << ", current actor ID: " << worker_context_.GetCurrentActorID(); + << ", current actor ID: " << worker_context_->GetCurrentActorID(); const auto &msg = stream.str(); RAY_LOG(ERROR) << msg; send_reply_callback(Status::Invalid(msg), nullptr, nullptr); @@ -4524,10 +4076,10 @@ void CoreWorker::HandleGetCoreWorkerStats(rpc::GetCoreWorkerStatsRequest request stats->set_port(rpc_address_.port()); stats->set_pid(getpid()); stats->set_language(options_.language); - stats->set_job_id(worker_context_.GetCurrentJobID().Binary()); - stats->set_worker_id(worker_context_.GetWorkerID().Binary()); + stats->set_job_id(worker_context_->GetCurrentJobID().Binary()); + stats->set_worker_id(worker_context_->GetWorkerID().Binary()); stats->set_actor_id(actor_id_.Binary()); - stats->set_worker_type(worker_context_.GetWorkerType()); + stats->set_worker_type(worker_context_->GetWorkerType()); stats->set_num_running_tasks(running_tasks_.size()); auto *used_resources_map = stats->mutable_used_resources(); for (auto const &[resource_name, resource_allocations] : resource_ids_) { @@ -4664,7 +4216,8 @@ void CoreWorker::HandleDeleteSpilledObjects(rpc::DeleteSpilledObjectsRequest req for (const auto &url : request.spilled_objects_url()) { spilled_objects_url.push_back(url); } - options_.delete_spilled_objects(spilled_objects_url, worker_context_.GetWorkerType()); + options_.delete_spilled_objects(spilled_objects_url, + worker_context_->GetWorkerType()); send_reply_callback(Status::OK(), nullptr, nullptr); } else { send_reply_callback( @@ -4757,7 +4310,7 @@ void CoreWorker::HandleNumPendingTasks(rpc::NumPendingTasksRequest request, } void CoreWorker::YieldCurrentFiber(FiberEvent &event) { - RAY_CHECK(worker_context_.CurrentActorIsAsync()); + RAY_CHECK(worker_context_->CurrentActorIsAsync()); boost::this_fiber::yield(); event.Wait(); } @@ -4881,7 +4434,7 @@ void CoreWorker::SetActorReprName(const std::string &repr_name) { } rpc::JobConfig CoreWorker::GetJobConfig() const { - return worker_context_.GetCurrentJobConfig(); + return worker_context_->GetCurrentJobConfig(); } bool CoreWorker::IsExiting() const { @@ -4936,17 +4489,17 @@ Status CoreWorker::WaitForActorRegistered(const std::vector &ids) { std::vector CoreWorker::GetCurrentReturnIds(int num_returns, const ActorID &callee_actor_id) { std::vector return_ids(num_returns); - const auto next_task_index = worker_context_.GetTaskIndex() + 1; + const auto next_task_index = worker_context_->GetTaskIndex() + 1; TaskID task_id; if (callee_actor_id.IsNil()) { /// Return ids for normal task call. - task_id = TaskID::ForNormalTask(worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentInternalTaskId(), + task_id = TaskID::ForNormalTask(worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentInternalTaskId(), next_task_index); } else { /// Return ids for actor task call. - task_id = TaskID::ForActorTask(worker_context_.GetCurrentJobID(), - worker_context_.GetCurrentInternalTaskId(), + task_id = TaskID::ForActorTask(worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentInternalTaskId(), next_task_index, callee_actor_id); } @@ -4971,12 +4524,12 @@ void CoreWorker::RecordTaskLogStart(const TaskID &task_id, task_log_info.set_stdout_start(stdout_start_offset); task_log_info.set_stderr_start(stderr_start_offset); - auto current_task = worker_context_.GetCurrentTask(); + auto current_task = worker_context_->GetCurrentTask(); RAY_CHECK(current_task) << "We should have set the current task spec while executing the task."; RAY_UNUSED(task_event_buffer_->RecordTaskStatusEventIfNeeded( task_id, - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentJobID(), attempt_number, *current_task, rpc::TaskStatus::NIL, @@ -4995,12 +4548,12 @@ void CoreWorker::RecordTaskLogEnd(const TaskID &task_id, task_log_info.set_stdout_end(stdout_end_offset); task_log_info.set_stderr_end(stderr_end_offset); - auto current_task = worker_context_.GetCurrentTask(); + auto current_task = worker_context_->GetCurrentTask(); RAY_CHECK(current_task) << "We should have set the current task spec before executing the task."; RAY_UNUSED(task_event_buffer_->RecordTaskStatusEventIfNeeded( task_id, - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentJobID(), attempt_number, *current_task, rpc::TaskStatus::NIL, @@ -5018,7 +4571,7 @@ void CoreWorker::UpdateTaskIsDebuggerPaused(const TaskID &task_id, << "Task is paused by debugger set to " << is_debugger_paused; RAY_UNUSED(task_event_buffer_->RecordTaskStatusEventIfNeeded( task_id, - worker_context_.GetCurrentJobID(), + worker_context_->GetCurrentJobID(), running_task_it->second.AttemptNumber(), running_task_it->second, rpc::TaskStatus::NIL, @@ -5026,6 +4579,30 @@ void CoreWorker::UpdateTaskIsDebuggerPaused(const TaskID &task_id, worker::TaskStatusEvent::TaskStateUpdate(is_debugger_paused))); } +void CoreWorker::TaskManagerRetryTask(TaskSpecification &spec, + bool object_recovery, + uint32_t delay_ms) { + spec.GetMutableMessage().set_attempt_number(spec.AttemptNumber() + 1); + if (!object_recovery) { + // Retry after a delay to emulate the existing Raylet reconstruction + // behaviour. TODO(ekl) backoff exponentially. + RAY_LOG(INFO) << "Will resubmit task after a " << delay_ms + << "ms delay: " << spec.DebugString(); + absl::MutexLock lock(&mutex_); + TaskToRetry task_to_retry{current_time_ms() + delay_ms, spec}; + to_resubmit_.push(std::move(task_to_retry)); + } else { + if (spec.IsActorTask()) { + auto actor_handle = actor_manager_->GetActorHandle(spec.ActorId()); + actor_handle->SetResubmittedActorTaskSpec(spec); + RAY_CHECK_OK(actor_task_submitter_->SubmitTask(spec)); + } else { + RAY_CHECK(spec.IsNormalTask()); + RAY_CHECK_OK(normal_task_submitter_->SubmitTask(spec)); + } + } +} + ClusterSizeBasedLeaseRequestRateLimiter::ClusterSizeBasedLeaseRequestRateLimiter( size_t min_concurrent_lease_limit) : min_concurrent_lease_cap_(min_concurrent_lease_limit), num_alive_nodes_(0) {} diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index aa78a2746e33..a078ccc83d14 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -163,13 +163,42 @@ class TaskToRetryDescComparator { /// The root class that contains all the core and language-independent functionalities /// of the worker. This class is supposed to be used to implement app-language (Java, /// Python, etc) workers. -class CoreWorker : public rpc::CoreWorkerServiceHandler { +class CoreWorker { public: /// Construct a CoreWorker instance. /// - /// \param[in] options The various initialization options. - /// \param[in] worker_id ID of this worker. - CoreWorker(CoreWorkerOptions options, const WorkerID &worker_id); + /// All member variables are injected either from CoreWorkerProcess or test code + + CoreWorker(CoreWorkerOptions options, + std::unique_ptr worker_context, + instrumented_io_context &io_service, + std::unique_ptr client_call_manager, + std::shared_ptr core_worker_client_pool, + std::shared_ptr raylet_client_pool, + std::shared_ptr periodical_runner, + std::unique_ptr core_worker_server, + rpc::Address rpc_address, + std::shared_ptr gcs_client, + std::shared_ptr local_raylet_client, + boost::thread &io_thread, + std::shared_ptr reference_counter, + std::shared_ptr memory_store, + std::shared_ptr plasma_store_provider, + std::shared_ptr + experimental_mutable_object_provider, + std::unique_ptr future_resolver, + std::shared_ptr task_manager, + std::shared_ptr actor_creator, + std::unique_ptr actor_task_submitter, + std::unique_ptr object_info_publisher, + std::unique_ptr object_info_subscriber, + std::shared_ptr lease_request_rate_limiter, + std::unique_ptr normal_task_submitter, + std::unique_ptr object_recovery_manager, + std::unique_ptr actor_manager, + instrumented_io_context &task_execution_service, + std::unique_ptr task_event_buffer, + uint32_t pid); CoreWorker(CoreWorker const &) = delete; @@ -181,7 +210,7 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// If the core worker is initiated at a driver, the driver is responsible for calling /// the shutdown API before terminating. If the core worker is initiated at a worker, /// shutdown must be called before terminating the task execution loop. - ~CoreWorker() override; + ~CoreWorker(); void operator=(CoreWorker const &other) = delete; @@ -227,20 +256,20 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { Language GetLanguage() const { return options_.language; } - WorkerContext &GetWorkerContext() { return worker_context_; } + WorkerContext &GetWorkerContext() { return *worker_context_; } - const TaskID &GetCurrentTaskId() const { return worker_context_.GetCurrentTaskID(); } + const TaskID &GetCurrentTaskId() const { return worker_context_->GetCurrentTaskID(); } const std::string GetCurrentTaskName() const { - return worker_context_.GetCurrentTask() != nullptr - ? worker_context_.GetCurrentTask()->GetName() + return worker_context_->GetCurrentTask() != nullptr + ? worker_context_->GetCurrentTask()->GetName() : ""; } const std::string GetCurrentTaskFunctionName() const { - return (worker_context_.GetCurrentTask() != nullptr && - worker_context_.GetCurrentTask()->FunctionDescriptor() != nullptr) - ? worker_context_.GetCurrentTask()->FunctionDescriptor()->CallSiteString() + return (worker_context_->GetCurrentTask() != nullptr && + worker_context_->GetCurrentTask()->FunctionDescriptor() != nullptr) + ? worker_context_->GetCurrentTask()->FunctionDescriptor()->CallSiteString() : ""; } @@ -251,14 +280,14 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { void UpdateTaskIsDebuggerPaused(const TaskID &task_id, const bool is_debugger_paused); int64_t GetCurrentTaskAttemptNumber() const { - return worker_context_.GetCurrentTask() != nullptr - ? worker_context_.GetCurrentTask()->AttemptNumber() + return worker_context_->GetCurrentTask() != nullptr + ? worker_context_->GetCurrentTask()->AttemptNumber() : 0; } - JobID GetCurrentJobId() const { return worker_context_.GetCurrentJobID(); } + JobID GetCurrentJobId() const { return worker_context_->GetCurrentJobID(); } - int64_t GetTaskDepth() const { return worker_context_.GetTaskDepth(); } + int64_t GetTaskDepth() const { return worker_context_->GetTaskDepth(); } NodeID GetCurrentNodeId() const { return NodeID::FromBinary(rpc_address_.raylet_id()); } @@ -306,18 +335,18 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { void TryDelPendingObjectRefStreams(); PlacementGroupID GetCurrentPlacementGroupId() const { - return worker_context_.GetCurrentPlacementGroupId(); + return worker_context_->GetCurrentPlacementGroupId(); } bool ShouldCaptureChildTasksInPlacementGroup() const { - return worker_context_.ShouldCaptureChildTasksInPlacementGroup(); + return worker_context_->ShouldCaptureChildTasksInPlacementGroup(); } bool GetCurrentTaskRetryExceptions() const { if (options_.is_local_mode) { return false; } - return worker_context_.GetCurrentTask()->ShouldRetryExceptions(); + return worker_context_->GetCurrentTask()->ShouldRetryExceptions(); } void SetWebuiDisplay(const std::string &key, const std::string &message); @@ -768,10 +797,9 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Implements gRPC server handler. /// If an executor can generator task return before the task is finished, /// it invokes this endpoint via ReportGeneratorItemReturns RPC. - void HandleReportGeneratorItemReturns( - rpc::ReportGeneratorItemReturnsRequest request, - rpc::ReportGeneratorItemReturnsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void HandleReportGeneratorItemReturns(rpc::ReportGeneratorItemReturnsRequest request, + rpc::ReportGeneratorItemReturnsReply *reply, + rpc::SendReplyCallback send_reply_callback); /// /// Public methods related to task submission. @@ -1003,6 +1031,8 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { } public: + friend class CoreWorkerProcessImpl; + /// Allocate the return object for an executing task. The caller should write into the /// data buffer of the allocated buffer, then call SealReturnObject() to seal it. /// To avoid deadlock, the caller should allocate and seal a single object at a time. @@ -1130,127 +1160,124 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Implements gRPC server handler. void HandlePushTask(rpc::PushTaskRequest request, rpc::PushTaskReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. - void HandleActorCallArgWaitComplete( - rpc::ActorCallArgWaitCompleteRequest request, - rpc::ActorCallArgWaitCompleteReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void HandleActorCallArgWaitComplete(rpc::ActorCallArgWaitCompleteRequest request, + rpc::ActorCallArgWaitCompleteReply *reply, + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleRayletNotifyGCSRestart(rpc::RayletNotifyGCSRestartRequest request, rpc::RayletNotifyGCSRestartReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleGetObjectStatus(rpc::GetObjectStatusRequest request, rpc::GetObjectStatusReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleWaitForActorRefDeleted(rpc::WaitForActorRefDeletedRequest request, rpc::WaitForActorRefDeletedReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Implements gRPC server handler. void HandlePubsubLongPolling(rpc::PubsubLongPollingRequest request, rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Implements gRPC server handler. void HandlePubsubCommandBatch(rpc::PubsubCommandBatchRequest request, rpc::PubsubCommandBatchReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Implements gRPC server handler. - void HandleUpdateObjectLocationBatch( - rpc::UpdateObjectLocationBatchRequest request, - rpc::UpdateObjectLocationBatchReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void HandleUpdateObjectLocationBatch(rpc::UpdateObjectLocationBatchRequest request, + rpc::UpdateObjectLocationBatchReply *reply, + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleGetObjectLocationsOwner(rpc::GetObjectLocationsOwnerRequest request, rpc::GetObjectLocationsOwnerReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleKillActor(rpc::KillActorRequest request, rpc::KillActorReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleCancelTask(rpc::CancelTaskRequest request, rpc::CancelTaskReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandleRemoteCancelTask(rpc::RemoteCancelTaskRequest request, rpc::RemoteCancelTaskReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Implements gRPC server handler. void HandlePlasmaObjectReady(rpc::PlasmaObjectReadyRequest request, rpc::PlasmaObjectReadyReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Creates a new mutable object. - void HandleRegisterMutableObjectReader( - rpc::RegisterMutableObjectReaderRequest request, - rpc::RegisterMutableObjectReaderReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void HandleRegisterMutableObjectReader(rpc::RegisterMutableObjectReaderRequest request, + rpc::RegisterMutableObjectReaderReply *reply, + rpc::SendReplyCallback send_reply_callback); /// Get statistics from core worker. void HandleGetCoreWorkerStats(rpc::GetCoreWorkerStatsRequest request, rpc::GetCoreWorkerStatsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Trigger local GC on this worker. void HandleLocalGC(rpc::LocalGCRequest request, rpc::LocalGCReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// Delete objects explicitly. void HandleDeleteObjects(rpc::DeleteObjectsRequest request, rpc::DeleteObjectsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Spill objects to external storage. void HandleSpillObjects(rpc::SpillObjectsRequest request, rpc::SpillObjectsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Restore objects from external storage. void HandleRestoreSpilledObjects(rpc::RestoreSpilledObjectsRequest request, rpc::RestoreSpilledObjectsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Delete objects from external storage. void HandleDeleteSpilledObjects(rpc::DeleteSpilledObjectsRequest request, rpc::DeleteSpilledObjectsReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Make the this worker exit. // This request fails if the core worker owns any object. void HandleExit(rpc::ExitRequest request, rpc::ExitReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Set local worker as the owner of object. // Request by borrower's worker, execute by owner's worker. void HandleAssignObjectOwner(rpc::AssignObjectOwnerRequest request, rpc::AssignObjectOwnerReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Get the number of pending tasks. void HandleNumPendingTasks(rpc::NumPendingTasksRequest request, rpc::NumPendingTasksReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); // Free GPU objects from the in-actor GPU object store. void HandleFreeActorObject(rpc::FreeActorObjectRequest request, rpc::FreeActorObjectReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + rpc::SendReplyCallback send_reply_callback); /// /// Public methods related to async actor call. This should only be used when @@ -1326,6 +1353,10 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { const std::shared_ptr &creation_task_exception_pb_bytes = nullptr); + void TaskManagerRetryTask(TaskSpecification &spec, + bool object_recovery, + uint32_t delay_ms); + private: static nlohmann::json OverrideRuntimeEnv(const nlohmann::json &child, const std::shared_ptr &parent); @@ -1339,19 +1370,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { FRIEND_TEST(TestOverrideRuntimeEnv, TestCondaInherit); FRIEND_TEST(TestOverrideRuntimeEnv, TestCondaOverride); - /// Register core worker to worker pool. - Status RegisterWorkerToRaylet(raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *raylet_id, - int *port); - std::shared_ptr OverrideTaskOrActorRuntimeEnvInfo( const std::string &serialized_runtime_env_info) const; @@ -1392,9 +1410,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { void SetActorId(const ActorID &actor_id); - /// Run the io_service_ event loop. This should be called in a background thread. - void RunIOService(); - /// Forcefully exit the worker. `Force` means it will exit actor without draining /// or cleaning any resources. /// \param exit_type The reason why this worker process is disconnected. @@ -1583,11 +1598,11 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// the new worker to reject messages meant for the old one. bool HandleWrongRecipient(const WorkerID &intended_worker_id, const rpc::SendReplyCallback &send_reply_callback) { - if (intended_worker_id != worker_context_.GetWorkerID()) { + if (intended_worker_id != worker_context_->GetWorkerID()) { std::ostringstream stream; stream << "Mismatched WorkerID: ignoring RPC for previous worker " << intended_worker_id - << ", current worker ID: " << worker_context_.GetWorkerID(); + << ", current worker ID: " << worker_context_->GetWorkerID(); auto msg = stream.str(); RAY_LOG(ERROR) << msg; send_reply_callback(Status::Invalid(msg), nullptr, nullptr); @@ -1597,14 +1612,6 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { } } - /// Wait until the worker is initialized. - void WaitUntilInitialized() override { - absl::MutexLock lock(&initialize_mutex_); - while (!initialized_) { - intialize_cv_.WaitWithTimeout(&initialize_mutex_, absl::Seconds(1)); - } - } - const CoreWorkerOptions options_; /// Callback to get the current language (e.g., Python) call site. @@ -1703,7 +1710,7 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Shared state of the worker. Includes process-level and thread-level state. /// TODO(edoakes): we should move process-level state into this class and make /// this a ThreadContext. - WorkerContext worker_context_; + std::unique_ptr worker_context_; /// The ID of the current task being executed by the main thread. If there /// are multiple threads, they will have a thread-local task ID stored in the @@ -1712,17 +1719,8 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { std::string main_thread_task_name_ ABSL_GUARDED_BY(mutex_); - /// States that used for initialization. - absl::Mutex initialize_mutex_; - absl::CondVar intialize_cv_; - bool initialized_ ABSL_GUARDED_BY(initialize_mutex_) = false; - /// Event loop where the IO events are handled. e.g. async GCS operations. - instrumented_io_context io_service_{/*enable_lag_probe=*/false, - /*running_on_single_thread=*/true}; - - /// Keeps the io_service_ alive. - boost::asio::executor_work_guard io_work_; + instrumented_io_context &io_service_; /// Shared client call manager. std::unique_ptr client_call_manager_; @@ -1755,7 +1753,7 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { std::shared_ptr local_raylet_client_; // Thread that runs a boost::asio service to process IO events. - boost::thread io_thread_; + boost::thread &io_thread_; // Keeps track of object ID reference counts. std::shared_ptr reference_counter_; @@ -1860,11 +1858,7 @@ class CoreWorker : public rpc::CoreWorkerServiceHandler { /// Event loop where tasks are processed. /// task_execution_service_ should be destructed first to avoid /// issues like https://github.com/ray-project/ray/issues/18857 - instrumented_io_context task_execution_service_; - - /// The asio work to keep task_execution_service_ alive. - boost::asio::executor_work_guard - task_execution_service_work_; + instrumented_io_context &task_execution_service_; // Queue of tasks to resubmit when the specified time passes. std::priority_queue, TaskToRetryDescComparator> diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 317b7eb48ad4..2184b87edb8e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -14,17 +14,34 @@ #include "ray/core_worker/core_worker_process.h" +#include #include #include +#include +#include #include +#include "absl/cleanup/cleanup.h" +#include "absl/strings/str_format.h" +#include "ray/common/bundle_spec.h" +#include "ray/common/cgroup/cgroup_context.h" +#include "ray/common/cgroup/cgroup_manager.h" +#include "ray/common/cgroup/constants.h" +#include "ray/common/ray_config.h" +#include "ray/common/runtime_env_common.h" +#include "ray/common/task/task_util.h" #include "ray/core_worker/core_worker.h" +#include "ray/core_worker/core_worker_rpc_proxy.h" +#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs/pb_util.h" #include "ray/stats/stats.h" +#include "ray/util/container_util.h" #include "ray/util/env.h" #include "ray/util/event.h" #include "ray/util/process.h" #include "ray/util/stream_redirection.h" #include "ray/util/stream_redirection_options.h" +#include "ray/util/subreaper.h" #include "ray/util/util.h" namespace ray { @@ -113,11 +130,517 @@ std::shared_ptr CoreWorkerProcess::TryGetWorker() { return core_worker_process->TryGetCoreWorker(); } +std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( + CoreWorkerOptions options, const WorkerID &worker_id) { + /// Event loop where the IO events are handled. e.g. async GCS operations. + auto client_call_manager = + std::make_unique(io_service_, /*record_stats=*/false); + auto periodical_runner = PeriodicalRunner::Create(io_service_); + auto worker_context = std::make_unique( + options.worker_type, worker_id, GetProcessJobID(options)); + auto pid = getpid(); + + // Move worker process into cgroup on startup. + AppProcCgroupMetadata app_cgroup_metadata; + app_cgroup_metadata.pid = pid; + app_cgroup_metadata.max_memory = kUnlimitedCgroupMemory; + GetCgroupSetup(options.enable_resource_isolation) + .ApplyCgroupContext(app_cgroup_metadata); + + RAY_LOG(DEBUG) << "Creating core worker with debug source: " << options.debug_source; + + RAY_LOG(DEBUG).WithField(worker_id) << "Constructing CoreWorker"; + if (RayConfig::instance().kill_child_processes_on_worker_exit_with_raylet_subreaper()) { +#ifdef __linux__ + // Not setting sigchld = ignore: user may want to do waitpid on their own. + // If user's bad code causes a zombie process, it will hang their in zombie status + // until this worker exits and raylet reaps it. + if (SetThisProcessAsSubreaper()) { + RAY_LOG(INFO) << "Set this core_worker process as subreaper: " << pid; + SetSigchldIgnore(); + } else { + RAY_LOG(WARNING) + << "Failed to set this core_worker process as subreaper. If Raylet is set as " + "subreaper, user-spawn daemon processes may be killed by raylet."; + } +#else + RAY_LOG(WARNING) << "Subreaper is not supported on this platform. Raylet will not " + "kill unknown children."; +#endif + } + + auto task_event_buffer = std::make_unique( + std::make_shared(options.gcs_options)); + + // Start the IO thread first to make sure the checker is working. + boost::thread::attributes io_thread_attrs; +#if defined(__APPLE__) + // io thread will run python code through cython + // but Mac's default stack size for non-main-thread is too small + // for certain python libraries like numpy and will cause sigbus. + // Here we increase the stack size to the size that python uses in + // https://github.com/python/cpython/blob/v3.9.0/Python/thread_pthread.h#L35. + // See https://github.com/ray-project/ray/issues/41094 for more details. + io_thread_attrs.set_stack_size(16777216); +#endif + io_thread_ = boost::thread(io_thread_attrs, [this]() { +#ifndef _WIN32 + // Block SIGINT and SIGTERM so they will be handled by the main thread. + sigset_t mask; + sigemptyset(&mask); + sigaddset(&mask, SIGINT); + sigaddset(&mask, SIGTERM); + pthread_sigmask(SIG_BLOCK, &mask, nullptr); +#endif + SetThreadName("worker.io"); + io_service_.run(); + RAY_LOG(INFO) << "Core worker main io service stopped."; + }); + + if (options.worker_type == WorkerType::DRIVER && + !options.serialized_job_config.empty()) { + // Driver populates the job config via initialization. + // Workers populates it when the first task is received. + rpc::JobConfig job_config; + job_config.ParseFromString(options.serialized_job_config); + worker_context->MaybeInitializeJobInfo(worker_context->GetCurrentJobID(), job_config); + } + auto raylet_conn = std::make_unique( + io_service_, options.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); + + NodeID local_raylet_id; + int assigned_port = 0; + Status raylet_client_status = RegisterWorkerToRaylet(*raylet_conn, + worker_context->GetWorkerID(), + options.worker_type, + worker_context->GetCurrentJobID(), + options.runtime_env_hash, + options.language, + options.node_ip_address, + options.serialized_job_config, + options.startup_token, + &local_raylet_id, + &assigned_port); + if (!raylet_client_status.ok()) { + // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. + RAY_LOG(ERROR).WithField(worker_id) + << "Failed to register worker to Raylet: " << raylet_client_status; + QuickExit(); + } + RAY_CHECK_GE(assigned_port, 0); + + // Initialize raylet client. + // NOTE(edoakes): the core_worker_server_ must be running before registering with + // the raylet, as the raylet will start sending some RPC messages immediately. + // TODO(zhijunfu): currently RayletClient would crash in its constructor if it cannot + // connect to Raylet after a number of retries, this can be changed later + // so that the worker (java/python .etc) can retrieve and handle the error + // instead of crashing. + auto local_raylet_client = + std::make_shared(std::move(raylet_conn), + options.raylet_ip_address, + options.node_manager_port, + *client_call_manager, + worker_context->GetWorkerID()); + auto core_worker_server = + std::make_unique(WorkerTypeString(options.worker_type), + assigned_port, + options.node_ip_address == "127.0.0.1"); + // Start RPC server after all the task receivers are properly initialized and we have + // our assigned port from the raylet. + core_worker_server->RegisterService( + std::make_unique(io_service_, *service_handler_), + false /* token_auth */); + core_worker_server->Run(); + + // Set our own address. + RAY_CHECK(!local_raylet_id.IsNil()); + rpc::Address rpc_address; + rpc_address.set_ip_address(options.node_ip_address); + // NOTE: the port is currently 0 as the core_worker_server is not started yet. + rpc_address.set_port(core_worker_server->GetPort()); + rpc_address.set_raylet_id(local_raylet_id.Binary()); + rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); + RAY_LOG(INFO).WithField(worker_context->GetWorkerID()).WithField(local_raylet_id) + << "Initializing worker at address: " << rpc_address.ip_address() << ":" + << rpc_address.port(); + + auto gcs_client = std::make_shared(options.gcs_options, + worker_context->GetWorkerID()); + RAY_CHECK_OK(gcs_client->Connect(io_service_)); + + if (RayConfig::instance().task_events_report_interval_ms() > 0) { + if (!task_event_buffer->Start().ok()) { + RAY_CHECK(!task_event_buffer->Enabled()) << "TaskEventBuffer should be disabled."; + } + } + + auto raylet_client_pool = std::make_shared(*client_call_manager); + + std::shared_ptr core_worker_client_pool = + std::make_shared([this](const rpc::Address &addr) { + auto core_worker = GetCoreWorker(); + return std::make_shared( + addr, + *core_worker->client_call_manager_, + rpc::CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback( + core_worker->gcs_client_.get(), + core_worker->core_worker_client_pool_.get(), + core_worker->raylet_client_pool_.get(), + addr)); + }); + + auto object_info_publisher = std::make_unique( + /*channels=*/ + std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, + rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, + rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, + /*periodical_runner=*/*periodical_runner, + /*get_time_ms=*/[]() { return absl::GetCurrentTimeNanos() / 1e6; }, + /*subscriber_timeout_ms=*/RayConfig::instance().subscriber_timeout_ms(), + /*publish_batch_size_=*/RayConfig::instance().publish_batch_size(), + worker_context->GetWorkerID()); + auto object_info_subscriber = std::make_unique( + /*subscriber_id=*/worker_context->GetWorkerID(), + /*channels=*/ + std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, + rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, + rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, + /*max_command_batch_size*/ RayConfig::instance().max_command_batch_size(), + /*get_client=*/ + [this](const rpc::Address &address) { + auto core_worker = GetCoreWorker(); + return core_worker->core_worker_client_pool_->GetOrConnect(address); + }, + /*callback_service*/ &io_service_); + + auto check_node_alive_fn = [this](const NodeID &node_id) { + auto core_worker = GetCoreWorker(); + auto node = core_worker->gcs_client_->Nodes().Get(node_id); + return node != nullptr; + }; + + auto reference_counter = std::make_shared( + rpc_address, + /*object_info_publisher=*/object_info_publisher.get(), + /*object_info_subscriber=*/object_info_subscriber.get(), + check_node_alive_fn, + RayConfig::instance().lineage_pinning_enabled()); + + std::shared_ptr lease_request_rate_limiter; + if (RayConfig::instance().max_pending_lease_requests_per_scheduling_category() > 0) { + lease_request_rate_limiter = std::make_shared( + RayConfig::instance().max_pending_lease_requests_per_scheduling_category()); + } else { + RAY_CHECK( + RayConfig::instance().max_pending_lease_requests_per_scheduling_category() != 0) + << "max_pending_lease_requests_per_scheduling_category can't be 0"; + lease_request_rate_limiter = + std::make_shared( + /*min_concurrent_lease_cap_*/ 10); + } + + // Register a callback to monitor add/removed nodes. + // Note we capture a shared ownership of reference_counter_ and rate_limiter + // here to avoid destruction order fiasco between gcs_client and reference_counter_. + auto on_node_change = [temp_reference_counter = reference_counter, + temp_rate_limiter = lease_request_rate_limiter]( + const NodeID &node_id, const rpc::GcsNodeInfo &data) { + if (data.state() == rpc::GcsNodeInfo::DEAD) { + RAY_LOG(INFO).WithField(node_id) + << "Node failure. All objects pinned on that node will be lost if object " + "reconstruction is not enabled."; + temp_reference_counter->ResetObjectsOnRemovedNode(node_id); + } + auto cluster_size_based_rate_limiter = + dynamic_cast(temp_rate_limiter.get()); + if (cluster_size_based_rate_limiter != nullptr) { + cluster_size_based_rate_limiter->OnNodeChanges(data); + } + }; + gcs_client->Nodes().AsyncSubscribeToNodeChange(std::move(on_node_change), nullptr); + + auto plasma_store_provider = std::make_shared( + options.store_socket, + local_raylet_client, + *reference_counter, + options.check_signals, + /*warmup=*/ + (options.worker_type != WorkerType::SPILL_WORKER && + options.worker_type != WorkerType::RESTORE_WORKER), + /*get_current_call_site=*/[this]() { + auto core_worker = GetCoreWorker(); + return core_worker->CurrentCallSite(); + }); + auto memory_store = std::make_shared( + io_service_, + reference_counter.get(), + local_raylet_client, + options.check_signals, + [this](const RayObject &obj) { + auto core_worker = GetCoreWorker(); + rpc::ErrorType error_type; + if (obj.IsException(&error_type) && + error_type == rpc::ErrorType::END_OF_STREAMING_GENERATOR) { + // End-of-stream ObjectRefs are sentinels and should never get + // returned to the caller. + return; + } + // Run this on the event loop to avoid calling back into the language runtime + // from the middle of user operations. + core_worker->io_service_.post( + [this, obj]() { + auto core_worker = GetCoreWorker(); + if (core_worker->options_.unhandled_exception_handler != nullptr) { + core_worker->options_.unhandled_exception_handler(obj); + } + }, + "CoreWorker.HandleException"); + }); + +#if defined(__APPLE__) || defined(__linux__) + auto raylet_channel_client_factory = [this](const NodeID &node_id) { + auto core_worker = GetCoreWorker(); + auto node_info = core_worker->gcs_client_->Nodes().Get(node_id); + RAY_CHECK(node_info) << "No GCS info for node " << node_id; + ray::rpc::Address addr; + addr.set_ip_address(node_info->node_manager_address()); + addr.set_port(node_info->node_manager_port()); + addr.set_raylet_id(node_id.Binary()); + return core_worker->raylet_client_pool_->GetOrConnectByAddress(addr); + }; + + auto experimental_mutable_object_provider = + std::make_shared( + *plasma_store_provider->store_client(), + raylet_channel_client_factory, + options.check_signals); +#endif + + auto push_error_callback = [this](const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) { + auto core_worker = GetCoreWorker(); + return core_worker->PushError(job_id, type, error_message, timestamp); + }; + + auto task_manager = std::make_shared( + *memory_store, + *reference_counter, + /*put_in_local_plasma_callback=*/ + [this](const RayObject &object, const ObjectID &object_id) { + auto core_worker = GetCoreWorker(); + RAY_CHECK_OK( + core_worker->PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true)); + }, + /* retry_task_callback= */ + [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + auto core_worker = GetCoreWorker(); + core_worker->TaskManagerRetryTask(spec, object_recovery, delay_ms); + }, + /*queue_generator_resubmit=*/ + [this](const TaskSpecification &spec) { + auto core_worker = GetCoreWorker(); + return spec.IsActorTask() + ? core_worker->actor_task_submitter_->QueueGeneratorForResubmit(spec) + : core_worker->normal_task_submitter_->QueueGeneratorForResubmit(spec); + }, + push_error_callback, + RayConfig::instance().max_lineage_bytes(), + *task_event_buffer, + /*get_actor_rpc_client_callback=*/ + [this](const ActorID &actor_id) { + auto core_worker = GetCoreWorker(); + auto addr = core_worker->actor_task_submitter_->GetActorAddress(actor_id); + RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; + return core_worker->core_worker_client_pool_->GetOrConnect(addr.value()); + }); + + auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { + auto timestamp = std::chrono::duration_cast( + std::chrono::system_clock::now().time_since_epoch()) + .count(); + auto core_worker = GetCoreWorker(); + std::ostringstream stream; + stream << "Warning: More than " << num_queued + << " tasks are pending submission to actor " << actor_id + << ". To reduce memory usage, wait for these tasks to finish before sending " + "more."; + RAY_CHECK_OK(core_worker->PushError(core_worker->options_.job_id, + "excess_queueing_warning", + stream.str(), + timestamp)); + }; + + auto actor_creator = std::make_shared(gcs_client); + + auto actor_task_submitter = std::make_unique( + *core_worker_client_pool, + *memory_store, + *task_manager, + *actor_creator, + /*tensor_transport_getter=*/ + [this](const ObjectID &object_id) { + auto core_worker = GetCoreWorker(); + return core_worker->reference_counter_->GetTensorTransport(object_id); + }, + on_excess_queueing, + io_service_, + reference_counter); + + auto node_addr_factory = [this](const NodeID &node_id) { + std::optional addr; + auto core_worker = GetCoreWorker(); + if (auto node_info = core_worker->gcs_client_->Nodes().Get(node_id)) { + rpc::Address address; + address.set_raylet_id(node_info->node_id()); + address.set_ip_address(node_info->node_manager_address()); + address.set_port(node_info->node_manager_port()); + addr = address; + } + return addr; + }; + + auto lease_policy = RayConfig::instance().locality_aware_leasing_enabled() + ? std::unique_ptr( + std::make_unique( + *reference_counter, node_addr_factory, rpc_address)) + : std::unique_ptr( + std::make_unique(rpc_address)); + + auto normal_task_submitter = std::make_unique( + rpc_address, + local_raylet_client, + core_worker_client_pool, + raylet_client_pool, + std::move(lease_policy), + memory_store, + *task_manager, + local_raylet_id, + options.worker_type, + RayConfig::instance().worker_lease_timeout_milliseconds(), + actor_creator, + worker_context->GetCurrentJobID(), + lease_request_rate_limiter, + /*tensor_transport_getter=*/ + [](const ObjectID &object_id) { + // Currently, out-of-band tensor transport (i.e., GPU objects) is only + // supported for actor tasks. Therefore, normal tasks should always use + // OBJECT_STORE. + return rpc::TensorTransport::OBJECT_STORE; + }, + boost::asio::steady_timer(io_service_)); + + auto report_locality_data_callback = [this]( + const ObjectID &object_id, + const absl::flat_hash_set &locations, + uint64_t object_size) { + auto core_worker = GetCoreWorker(); + core_worker->reference_counter_->ReportLocalityData( + object_id, locations, object_size); + }; + + auto future_resolver = + std::make_unique(memory_store, + reference_counter, + std::move(report_locality_data_callback), + core_worker_client_pool, + rpc_address); + + auto actor_manager = std::make_unique( + gcs_client, *actor_task_submitter, *reference_counter); + + std::function + object_lookup_fn = [this, node_addr_factory](const ObjectID &object_id, + const ObjectLookupCallback &callback) { + auto core_worker = GetCoreWorker(); + std::vector locations; + const std::optional> object_locations = + core_worker->reference_counter_->GetObjectLocations(object_id); + if (object_locations.has_value()) { + locations.reserve(object_locations.value().size()); + for (const auto &node_id : object_locations.value()) { + std::optional addr = node_addr_factory(node_id); + if (addr.has_value()) { + locations.emplace_back(std::move(addr.value())); + continue; + } + // We're getting potentially stale locations directly from the reference + // counter, so the location might be a dead node. + RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) + << "Object location is dead, not using it in the recovery of object"; + } + } + callback(object_id, std::move(locations)); + return Status::OK(); + }; + + auto object_recovery_manager = std::make_unique( + rpc_address, + raylet_client_pool, + local_raylet_client, + object_lookup_fn, + *task_manager, + *reference_counter, + *memory_store, + [this](const ObjectID &object_id, rpc::ErrorType reason, bool pin_object) { + RAY_LOG(DEBUG).WithField(object_id) + << "Failed to recover object due to " << rpc::ErrorType_Name(reason); + auto core_worker = GetCoreWorker(); + // We should throw the object error to the application. + RAY_UNUSED(core_worker->Put(RayObject(reason), + /*contained_object_ids=*/{}, + object_id, + /*pin_object=*/pin_object)); + }); + + // Set event context for current core worker thread. + RayEventContext::Instance().SetEventContext( + ray::rpc::Event_SourceType::Event_SourceType_CORE_WORKER, + {{"worker_id", worker_id.Hex()}}); + + auto core_worker = + std::make_shared(std::move(options), + std::move(worker_context), + io_service_, + std::move(client_call_manager), + std::move(core_worker_client_pool), + std::move(raylet_client_pool), + std::move(periodical_runner), + std::move(core_worker_server), + std::move(rpc_address), + std::move(gcs_client), + std::move(local_raylet_client), + io_thread_, + std::move(reference_counter), + std::move(memory_store), + std::move(plasma_store_provider), + std::move(experimental_mutable_object_provider), + std::move(future_resolver), + std::move(task_manager), + std::move(actor_creator), + std::move(actor_task_submitter), + std::move(object_info_publisher), + std::move(object_info_subscriber), + std::move(lease_request_rate_limiter), + std::move(normal_task_submitter), + std::move(object_recovery_manager), + std::move(actor_manager), + task_execution_service_, + std::move(task_event_buffer), + pid); + return core_worker; +} + CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) : options_(options), worker_id_(options.worker_type == WorkerType::DRIVER ? ComputeDriverIdFromJob(options_.job_id) - : WorkerID::FromRandom()) { + : WorkerID::FromRandom()), + io_work_(io_service_.get_executor()), + task_execution_service_work_(task_execution_service_.get_executor()), + service_handler_(std::make_unique()) { if (options_.enable_logging) { // Setup logging for worker system logging. { @@ -214,8 +737,12 @@ CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) stats::Init(global_tags, options_.metrics_agent_port, worker_id_); { + // Notify that core worker is initialized. + absl::Cleanup initialzed_scope_guard = [this] { + service_handler_->SetCoreWorker(this->GetCoreWorker().get()); + }; // Initialize global worker instance. - auto worker = std::make_shared(options_, worker_id_); + auto worker = CreateCoreWorker(options_, worker_id_); auto write_locked = core_worker_.LockForWrite(); write_locked.Get() = worker; } @@ -381,5 +908,55 @@ std::shared_ptr CoreWorkerProcessImpl::GetCoreWorker() const { return read_locked.Get(); } +Status CoreWorkerProcessImpl::RegisterWorkerToRaylet( + raylet::RayletConnection &conn, + const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *port) { + flatbuffers::FlatBufferBuilder fbb; + // TODO(suquark): Use `WorkerType` in `common.proto` without converting to int. + auto message = + protocol::CreateRegisterClientRequest(fbb, + static_cast(worker_type), + to_flatbuf(fbb, worker_id), + getpid(), + startup_token, + to_flatbuf(fbb, job_id), + runtime_env_hash, + language, + fbb.CreateString(ip_address), + /*port=*/0, + fbb.CreateString(serialized_job_config)); + fbb.Finish(message); + // Register the process ID with the raylet. + // NOTE(swang): If raylet exits and we are registered as a worker, we will get killed. + std::vector reply; + auto request_status = + conn.AtomicRequestReply(ray::protocol::MessageType::RegisterClientRequest, + ray::protocol::MessageType::RegisterClientReply, + &reply, + &fbb); + if (!request_status.ok()) { + return Status(request_status.code(), + std::string("[RayletClient] Unable to register worker with raylet. ") + + request_status.message()); + } + auto reply_message = flatbuffers::GetRoot(reply.data()); + bool success = reply_message->success(); + if (!success) { + return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); + } + + *raylet_id = NodeID::FromBinary(reply_message->raylet_id()->str()); + *port = reply_message->port(); + return Status::OK(); +} } // namespace core } // namespace ray diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index be2268d0e820..989e17dc581a 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -14,7 +14,9 @@ #pragma once +#include #include +#include #include "ray/core_worker/core_worker_options.h" #include "ray/util/mutex_protected.h" @@ -23,6 +25,7 @@ namespace ray { namespace core { class CoreWorker; +class CoreWorkerServiceHandlerProxy; /// Lifecycle management of the `CoreWorker` instance in a process. /// @@ -74,7 +77,6 @@ class CoreWorkerProcess { /// \param[in] options The various initialization options. static void Initialize(const CoreWorkerOptions &options); - /// Get the core worker. /// NOTE (kfstorm): Here we return a reference instead of a `shared_ptr` to make sure /// `CoreWorkerProcess` has full control of the destruction timing of `CoreWorker`. static CoreWorker &GetCoreWorker(); @@ -129,6 +131,9 @@ class CoreWorkerProcessImpl { /// Try to get core worker. Returns nullptr if core worker doesn't exist. std::shared_ptr TryGetCoreWorker() const; + std::shared_ptr CreateCoreWorker(CoreWorkerOptions options, + const WorkerID &worker_id); + /// Get the `CoreWorker` instance. The process will be exited if /// the core worker is nullptr. /// @@ -141,6 +146,19 @@ class CoreWorkerProcessImpl { /// Shutdown the driver completely at the process level. void ShutdownDriver(); + /// Register core worker to worker pool. + static Status RegisterWorkerToRaylet(raylet::RayletConnection &conn, + const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *port); + private: /// The various options. const CoreWorkerOptions options_; @@ -150,6 +168,29 @@ class CoreWorkerProcessImpl { /// The worker ID of this worker. const WorkerID worker_id_; + + /// Event loop where the IO events are handled. e.g. async GCS operations. + instrumented_io_context io_service_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + + /// Keeps the io_service_ alive. + boost::asio::executor_work_guard io_work_; + + /// Event loop where tasks are processed. + /// task_execution_service_ should be destructed first to avoid + /// issues like https://github.com/ray-project/ray/issues/18857 + instrumented_io_context task_execution_service_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + + /// The asio work to keep task_execution_service_ alive. + boost::asio::executor_work_guard + task_execution_service_work_; + + // Thread that runs a boost::asio service to process IO events. + boost::thread io_thread_; + + /// The proxy service handler that routes the RPC calls to the core worker. + std::unique_ptr service_handler_; }; } // namespace core } // namespace ray diff --git a/src/ray/core_worker/core_worker_rpc_proxy.h b/src/ray/core_worker/core_worker_rpc_proxy.h new file mode 100644 index 000000000000..755c27dee663 --- /dev/null +++ b/src/ray/core_worker/core_worker_rpc_proxy.h @@ -0,0 +1,95 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +#include "absl/synchronization/mutex.h" +#include "absl/synchronization/notification.h" +#include "ray/core_worker/core_worker.h" + +namespace ray { +namespace core { + +// Lock is unnecessary as SetCoreWorker is called only once and RPCs +// are blocked until it is called. +#define RAY_CORE_WORKER_RPC_PROXY(METHOD) \ + void Handle##METHOD(rpc::METHOD##Request request, \ + rpc::METHOD##Reply *reply, \ + rpc::SendReplyCallback send_reply_callback) override { \ + core_worker_->Handle##METHOD(request, reply, send_reply_callback); \ + } + +// This class was introduced as a result of changes in +// https://github.com/ray-project/ray/pull/54759, where the dependencies of CoreWorker +// were refactored into CoreWorkerProcessImpl. Previously, CoreWorker inherited from +// CoreWorkerServiceHandler, but this design made it impossible to run the gRPC server +// within CoreWorkerProcessImpl despite the fact that several CoreWorker subclasses rely +// on the server's port, which is only known when the server is running. To address this, +// we created this service handler which can be created before CoreWorker is done +// initializing. This pattern is NOT recommended for future use and was only used +// as other options were significantly more ugly and complex. +class CoreWorkerServiceHandlerProxy : public rpc::CoreWorkerServiceHandler { + public: + RAY_CORE_WORKER_RPC_PROXY(PushTask) + RAY_CORE_WORKER_RPC_PROXY(ActorCallArgWaitComplete) + RAY_CORE_WORKER_RPC_PROXY(RayletNotifyGCSRestart) + RAY_CORE_WORKER_RPC_PROXY(GetObjectStatus) + RAY_CORE_WORKER_RPC_PROXY(WaitForActorRefDeleted) + RAY_CORE_WORKER_RPC_PROXY(PubsubLongPolling) + RAY_CORE_WORKER_RPC_PROXY(PubsubCommandBatch) + RAY_CORE_WORKER_RPC_PROXY(UpdateObjectLocationBatch) + RAY_CORE_WORKER_RPC_PROXY(GetObjectLocationsOwner) + RAY_CORE_WORKER_RPC_PROXY(ReportGeneratorItemReturns) + RAY_CORE_WORKER_RPC_PROXY(KillActor) + RAY_CORE_WORKER_RPC_PROXY(CancelTask) + RAY_CORE_WORKER_RPC_PROXY(RemoteCancelTask) + RAY_CORE_WORKER_RPC_PROXY(RegisterMutableObjectReader) + RAY_CORE_WORKER_RPC_PROXY(GetCoreWorkerStats) + RAY_CORE_WORKER_RPC_PROXY(LocalGC) + RAY_CORE_WORKER_RPC_PROXY(DeleteObjects) + RAY_CORE_WORKER_RPC_PROXY(SpillObjects) + RAY_CORE_WORKER_RPC_PROXY(RestoreSpilledObjects) + RAY_CORE_WORKER_RPC_PROXY(DeleteSpilledObjects) + RAY_CORE_WORKER_RPC_PROXY(PlasmaObjectReady) + RAY_CORE_WORKER_RPC_PROXY(Exit) + RAY_CORE_WORKER_RPC_PROXY(AssignObjectOwner) + RAY_CORE_WORKER_RPC_PROXY(NumPendingTasks) + RAY_CORE_WORKER_RPC_PROXY(FreeActorObject) + + /// Wait until the worker is initialized. + void WaitUntilInitialized() override { + // TODO(joshlee): investigate and remove the 1 second timeout + absl::MutexLock lock(&core_worker_mutex_); + while (core_worker_ == nullptr) { + core_worker_cv_.WaitWithTimeout(&core_worker_mutex_, absl::Seconds(1)); + } + } + + void SetCoreWorker(CoreWorker *core_worker) { + absl::MutexLock lock(&core_worker_mutex_); + core_worker_ = core_worker; + core_worker_cv_.SignalAll(); + } + + private: + absl::Mutex core_worker_mutex_; + absl::CondVar core_worker_cv_; + CoreWorker *core_worker_ = nullptr; +}; + +} // namespace core +} // namespace ray From 3daa92a7e265e787fc5ba1c694d142edfb68275f Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Tue, 29 Jul 2025 20:53:55 -0700 Subject: [PATCH 0391/1566] [Core] Deflake Aggregator Agent Related Tests (#54744) This PR deflake the aggregator agent related tests in `test_aggregator_agent.py` and `test_metrics_agent.py` by: 1. Use `find_free_port` to avoid port conflict for the aggregator agent destination http server 2. Reset the pytest httpserver before each tests --------- Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- .../install-core-prerelease-dependencies.sh | 5 +- .../aggregator/tests/test_aggregator_agent.py | 50 +++++++++++++++---- python/ray/tests/conftest.py | 29 +++++++++++ python/ray/tests/test_metrics_agent.py | 9 +++- 4 files changed, 79 insertions(+), 14 deletions(-) diff --git a/ci/env/install-core-prerelease-dependencies.sh b/ci/env/install-core-prerelease-dependencies.sh index d1a8790ec50a..759ef40bd1ec 100755 --- a/ci/env/install-core-prerelease-dependencies.sh +++ b/ci/env/install-core-prerelease-dependencies.sh @@ -2,8 +2,9 @@ set -e -# install all unbounded dependencies in setup.py for ray core +# install all unbounded dependencies in setup.py and any additional test dependencies +# for the min build for ray core # TODO(scv119) reenable grpcio once https://github.com/grpc/grpc/issues/31885 is fixed. # TODO(scv119) reenable jsonschema once https://github.com/ray-project/ray/issues/33411 is fixed. -DEPS=(requests protobuf) +DEPS=(requests protobuf pytest-httpserver==1.1.3) python -m pip install -U --pre --upgrade-strategy=eager "${DEPS[@]}" diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 3b617ef27b53..c5df45360876 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -15,6 +15,7 @@ import ray.dashboard.consts as dashboard_consts from ray._private.test_utils import ( wait_until_server_available, + find_free_port, ) from ray.core.generated.events_event_aggregator_service_pb2_grpc import ( @@ -29,9 +30,27 @@ from ray.core.generated.common_pb2 import TaskAttempt -@pytest.fixture(scope="session") +_EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() + + +@pytest.fixture(scope="module") def httpserver_listen_address(): - return ("127.0.0.1", 12345) + return ("127.0.0.1", _EVENT_AGGREGATOR_AGENT_TARGET_PORT) + + +_with_aggregator_port = pytest.mark.parametrize( + "ray_start_cluster_head_with_env_vars", + [ + { + "env_vars": { + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( + _EVENT_AGGREGATOR_AGENT_TARGET_PORT + ), + }, + }, + ], + indirect=True, +) def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): @@ -56,10 +75,11 @@ def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): return EventAggregatorServiceStub(channel) +@_with_aggregator_port def test_aggregator_agent_receive_publish_events_normally( - ray_start_cluster_head, httpserver + ray_start_cluster_head_with_env_vars, httpserver ): - cluster = ray_start_cluster_head + cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) @@ -112,6 +132,7 @@ def test_aggregator_agent_receive_publish_events_normally( { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, }, }, ], @@ -158,10 +179,11 @@ def test_aggregator_agent_receive_event_full( assert reply.status.message == "event 1 dropped because event buffer full" +@_with_aggregator_port def test_aggregator_agent_receive_dropped_at_core_worker( - ray_start_cluster_head, httpserver + ray_start_cluster_head_with_env_vars, httpserver ): - cluster = ray_start_cluster_head + cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) @@ -210,11 +232,15 @@ def test_aggregator_agent_receive_dropped_at_core_worker( assert req_json[0]["message"] == "core worker event" -def test_aggregator_agent_receive_multiple_events(ray_start_cluster_head, httpserver): - cluster = ray_start_cluster_head +@_with_aggregator_port +def test_aggregator_agent_receive_multiple_events( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) now = time.time_ns() seconds, nanos = divmod(now, 10**9) @@ -261,6 +287,7 @@ def test_aggregator_agent_receive_multiple_events(ray_start_cluster_head, httpse { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, }, }, ], @@ -315,8 +342,11 @@ def test_aggregator_agent_receive_multiple_events_failures( ) -def test_aggregator_agent_receive_empty_events(ray_start_cluster_head, httpserver): - cluster = ray_start_cluster_head +@_with_aggregator_port +def test_aggregator_agent_receive_empty_events( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index bee69a3123ef..ad2a46642289 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -1458,3 +1458,32 @@ def random_ascii_file(request): fp.flush() yield fp + + +""" +pytest httpserver related test fixtures +""" + + +@pytest.fixture(scope="module") +def make_httpserver(httpserver_listen_address, httpserver_ssl_context): + """ + Module-scoped override of pytest-httpserver's make_httpserver fixture. + Copies the implementation the make_httpserver fixture. + """ + # Lazy import pytest_httpserver to avoid import errors in library tests that doesn't + # have pytest_httpserver installed. + from pytest_httpserver.httpserver import HTTPServer + + host, port = httpserver_listen_address + if not host: + host = HTTPServer.DEFAULT_LISTEN_HOST + if not port: + port = HTTPServer.DEFAULT_LISTEN_PORT + + server = HTTPServer(host=host, port=port, ssl_context=httpserver_ssl_context) + server.start() + yield server + server.clear() + if server.is_running(): + server.stop() diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 307288cf1f47..f5a98746d342 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -36,6 +36,7 @@ fetch_prometheus_metrics, get_log_batch, raw_metrics, + find_free_port, ) from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT from ray.dashboard.consts import DASHBOARD_METRIC_PORT @@ -462,9 +463,12 @@ def verify_dashboard_metrics(): wait_for_condition(verify_dashboard_metrics) -@pytest.fixture(scope="session") +_EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() + + +@pytest.fixture(scope="module") def httpserver_listen_address(): - return ("127.0.0.1", 12345) + return ("127.0.0.1", _EVENT_AGGREGATOR_AGENT_TARGET_PORT) @pytest.mark.parametrize( @@ -473,6 +477,7 @@ def httpserver_listen_address(): { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, }, }, ], From 8fa30f9b590ae06aa3658b0266ac8b756d5dac54 Mon Sep 17 00:00:00 2001 From: Goku Mohandas Date: Tue, 29 Jul 2025 21:27:39 -0700 Subject: [PATCH 0392/1566] Multimodal ai (#54029) Signed-off-by: Goku Mohandas Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Co-authored-by: Masoud Signed-off-by: Douglas Strodtman --- .../config/vocabularies/General/accept.txt | 2 + .../e2e-multimodal-ai-workloads/README.ipynb | 34 +- .../e2e-multimodal-ai-workloads/README.md | 50 +- .../e2e-multimodal-ai-workloads/ci/nb2py.py | 1 + .../e2e-multimodal-ai-workloads/containerfile | 5 +- .../doggos/data.py | 25 +- .../doggos/embed.py | 67 +- .../doggos/infer.py | 2 +- .../doggos/serve.py | 94 +- .../doggos/train.py | 8 +- .../images/batch_inference.png | Bin 151024 -> 148626 bytes .../images/overview.png | Bin 447159 -> 450917 bytes .../images/rayturbo_data_dashboard.png | Bin 0 -> 134491 bytes .../notebooks/01-Batch-Inference.ipynb | 793 +++++------- .../notebooks/02-Distributed-Training.ipynb | 1089 +++++++---------- .../notebooks/03-Online-Serving.ipynb | 495 +++----- .../requirements.txt | 6 + 17 files changed, 960 insertions(+), 1711 deletions(-) create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/images/rayturbo_data_dashboard.png create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt diff --git a/.vale/styles/config/vocabularies/General/accept.txt b/.vale/styles/config/vocabularies/General/accept.txt index 926e801495ff..886a23d9b920 100644 --- a/.vale/styles/config/vocabularies/General/accept.txt +++ b/.vale/styles/config/vocabularies/General/accept.txt @@ -94,6 +94,8 @@ SageMaker serverless SFT ShareGPT +SLA +SLAs streamable Softmax streamable diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb index ca008fa668d5..2559cc045ccd 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb @@ -14,39 +14,43 @@ "\n", "\n", "\n", - "This tutorial implements an image semantic search application that uses batch inference, distributed training, and online serving at scale.\n", + "💻 Run this entire tutorial on [Anyscale](https://www.anyscale.com/) for free:\n", + "**https://console.anyscale.com/template-preview/image-search-and-classification**\n", "\n", - "- [**`01-Batch-Inference.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/01-Batch-Inference.ipynb): ingest and preprocess data at scale using [Ray Data](https://docs.ray.io/en/latest/data/data.html) to generate embeddings for an image dataset of different dog breeds and store them.\n", - "- [**`02-Distributed-Training.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/02-Distributed-Training.ipynb): reprocess the same data to train an image classifier using [Ray Train](https://docs.ray.io/en/latest/train/train.html) and saving model artifacts to a model registry (MLOps).\n", - "- [**`03-Online-Serving.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/03-Online-Serving.ipynb): serve a semantic search app, using [Ray Serve](https://docs.ray.io/en/latest/serve/index.html), that uses model predictions to filter and retrieve the most relevant images based on input queries.\n", + "This tutorial focuses on the fundamental challenges of multimodal AI workloads at scale:\n", + "\n", + "- **🔋 Compute**: managing heterogeneous clusters, reducing idle time, and handling complex dependencies\n", + "- **📈 Scale**: integrating with the Python ecosystem, improving observability, and enabling effective debugging\n", + "- **🛡️ Reliability**: ensuring fault tolerance, leveraging checkpointing, and supporting job resumability\n", + "- **🚀 Production**: bridging dev-to-prod gaps, enabling fast iteration, maintaining zero downtime, and meeting SLAs\n", + "\n", + "This tutorial covers how Ray addresses each of these challenges and shows the solutions hands-on by implementing scalable batch inference, distributed training, and online serving workloads.\n", + "\n", + "- [**`01-Batch-Inference.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/01-Batch-Inference.ipynb): ingest and preprocess data at scale using [Ray Data](https://docs.ray.io/en/latest/data/data.html) to generate embeddings for an image dataset of different dog breeds and store them.\n", + "- [**`02-Distributed-Training.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/02-Distributed-Training.ipynb): preprocess data to train an image classifier using [Ray Train](https://docs.ray.io/en/latest/train/train.html) and save model artifacts to a model registry (MLOps).\n", + "- [**`03-Online-Serving.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/03-Online-Serving.ipynb): deploy an online service using [Ray Serve](https://docs.ray.io/en/latest/serve/index.html), that uses the trained model to generate predictions.\n", "- Create production batch [**Jobs**](https://docs.anyscale.com/platform/jobs/) for offline workloads like embedding generation, model training, etc., and production online [**Services**](https://docs.anyscale.com/platform/services/) that can scale.\n", "\n", - "\n", + "\n", "\n", "## Development\n", "\n", "The application is developed on [Anyscale Workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—just like working on a laptop. Workspaces come with:\n", "- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the same tools you love but with the power of Anyscale's compute.\n", - "- **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster.\n", - "\n", - "```bash\n", - "pip install -q \"matplotlib==3.10.0\" \"torch==2.5.1\" \"transformers==4.47.1\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets\"\n", - "```\n", - "\n", + "- **Dependencies**: Install dependencies using familiar tools like pip or uv. Anyscale propagates all dependencies to the cluster's worker nodes.\n", "- **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience.\n", - " - Under the hood, a cluster spins up and is efficiently managed by Anyscale.\n", "- **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience.\n", "\n", "Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/).\n", "\n", "
    \n", - " \n", + " \n", "
    \n", "\n", - "**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/foundational-ray-app/tree/main/containerfile) and provision the appropriate GPU resources.\n", + "**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/multimodal-ai/tree/main/containerfile) and provision the appropriate GPU resources.\n", "\n", "## Production\n", "Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability.\n", diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md index 7b8a884cacca..60b2e693cafa 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md @@ -1,31 +1,42 @@ -# Multi-modal AI pipeline +# Multimodal AI Workloads +```{toctree} +:hidden: +notebooks/01-Batch-Inference +notebooks/02-Distributed-Training +notebooks/03-Online-Serving +```
      -  + 
    -This tutorial implements an image semantic search application that uses batch inference, distributed training, and online serving at scale. +💻 Run this entire tutorial on [Anyscale](https://www.anyscale.com/) for free: +**https://console.anyscale.com/template-preview/image-search-and-classification** -- [**`01-Batch-Inference.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/01-Batch-Inference.ipynb): ingest and preprocess data at scale using [Ray Data](https://docs.ray.io/en/latest/data/data.html) to generate embeddings for an image dataset of different dog breeds and store them. -- [**`02-Distributed-Training.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/02-Distributed-Training.ipynb): reprocess the same data to train an image classifier using [Ray Train](https://docs.ray.io/en/latest/train/train.html) and saving model artifacts to a model registry (MLOps). -- [**`03-Online-Serving.ipynb`**](https://github.com/anyscale/foundational-ray-app/tree/main/notebooks/03-Online-Serving.ipynb): serve a semantic search app, using [Ray Serve](https://docs.ray.io/en/latest/serve/index.html), that uses model predictions to filter and retrieve the most relevant images based on input queries. +This tutorial focuses on the fundamental challenges of multimodal AI workloads at scale: + +- **🔋 Compute**: managing heterogeneous clusters, reducing idle time, and handling complex dependencies +- **📈 Scale**: integrating with the Python ecosystem, improving observability, and enabling effective debugging +- **🛡️ Reliability**: ensuring fault tolerance, leveraging checkpointing, and supporting job resumption +- **🚀 Production**: bridging dev-to-prod gaps, enabling fast iteration, maintaining zero downtime, and meeting SLAs + +This tutorial covers how Ray addresses each of these challenges and shows the solutions hands-on by implementing scalable batch inference, distributed training, and online serving workloads. + +- [**`01-Batch-Inference.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/01-Batch-Inference.ipynb): ingest and preprocess data at scale using [Ray Data](https://docs.ray.io/en/latest/data/data.html) to generate embeddings for an image dataset of different dog breeds and store them. +- [**`02-Distributed-Training.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/02-Distributed-Training.ipynb): preprocess data to train an image classifier using [Ray Train](https://docs.ray.io/en/latest/train/train.html) and save model artifacts to a model registry (MLOps). +- [**`03-Online-Serving.ipynb`**](https://github.com/anyscale/multimodal-ai/tree/main/notebooks/03-Online-Serving.ipynb): deploy an online service using [Ray Serve](https://docs.ray.io/en/latest/serve/index.html), that uses the trained model to generate predictions. - Create production batch [**Jobs**](https://docs.anyscale.com/platform/jobs/) for offline workloads like embedding generation, model training, etc., and production online [**Services**](https://docs.anyscale.com/platform/services/) that can scale. - + ## Development The application is developed on [Anyscale Workspaces](https://docs.anyscale.com/platform/workspaces/), which enables development without worrying about infrastructure—just like working on a laptop. Workspaces come with: - **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the same tools you love but with the power of Anyscale's compute. -- **Dependencies**: Continue to install dependencies using familiar tools like pip. Anyscale propagates all dependencies to your cluster. - -```bash -pip install -q "matplotlib==3.10.0" "torch==2.5.1" "transformers==4.47.1" "scikit-learn==1.6.0" "mlflow==2.19.0" "ipywidgets" -``` - +- **Dependencies**: Install dependencies using familiar tools like pip or uv. Anyscale propagates all dependencies to the cluster's worker nodes. - **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience. - Under the hood, a cluster spins up and is efficiently managed by Anyscale. - **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience. @@ -33,23 +44,16 @@ pip install -q "matplotlib==3.10.0" "torch==2.5.1" "transformers==4.47.1" "sciki Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/).
    - +
    -**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/foundational-ray-app/tree/main/containerfile) and provision the appropriate GPU resources. +**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/multimodal-ai/tree/main/containerfile) and provision the appropriate GPU resources. ## Production Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability. ## No infrastructure headaches Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard). -Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). - -```{toctree} -:hidden: +Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/). -notebooks/01-Batch-Inference -notebooks/02-Distributed-Training -notebooks/03-Online-Serving -``` diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/nb2py.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/nb2py.py index 3c7f383226e5..cddf453af98d 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/nb2py.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/nb2py.py @@ -1,5 +1,6 @@ #!/usr/bin/env python3 import argparse + import nbformat diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile index 5e9a6443f9e6..43b34335edda 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile @@ -1,4 +1,6 @@ -FROM anyscale/ray:2.44.1-slim-py312-cu123 +# Start with an Anyscale base image. +# Use the drop-down above to browse through all available images. +FROM anyscale/ray:2.47.0-slim-py312-cu128 # Add your pip dependencies here. Disable cache for a smaller image to optimize build and cluster startup time. # RUN pip install --no-cache-dir --upgrade @@ -10,7 +12,6 @@ FROM anyscale/ray:2.44.1-slim-py312-cu123 # Add other build commands here. # RUN echo "Testing Ray import..." && python -c "import ray" - RUN python3 -m pip install --no-cache-dir \ "matplotlib==3.10.0" "torch==2.7.0" "transformers==4.52.3" \ "scikit-learn==1.6.0" "mlflow==2.19.0" "ipywidgets==8.1.3" diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py index 98c8d31bd9bd..81fd2cbe3b3a 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py @@ -1,6 +1,12 @@ import json -from doggos.embed import EmbeddingGenerator +from doggos.embed import EmbedImages + + +def convert_to_label(row, class_to_label): + if "class" in row: + row["label"] = class_to_label[row["class"]] + return row class Preprocessor: @@ -16,23 +22,18 @@ def fit(self, ds, column): self.label_to_class = {v: k for k, v in self.class_to_label.items()} return self - def convert_to_label(self, row, class_to_label): - if "class" in row: - row["label"] = class_to_label[row["class"]] - return row - - def transform(self, ds, concurrency=4, batch_size=64, num_gpus=1): + def transform(self, ds): ds = ds.map( - self.convert_to_label, + convert_to_label, fn_kwargs={"class_to_label": self.class_to_label}, ) ds = ds.map_batches( - EmbeddingGenerator, + EmbedImages, fn_constructor_kwargs={"model_id": "openai/clip-vit-base-patch32"}, fn_kwargs={"device": "cuda"}, - concurrency=concurrency, - batch_size=batch_size, - num_gpus=num_gpus, + concurrency=4, + batch_size=64, + num_gpus=1, accelerator_type="L4", ) ds = ds.drop_columns(["image"]) diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py index 17ebb50fa613..6979139177c2 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py @@ -3,64 +3,65 @@ import matplotlib.pyplot as plt import numpy as np -import ray import torch +from doggos.utils import add_class, url_to_array from PIL import Image from scipy.spatial.distance import cdist from transformers import CLIPModel, CLIPProcessor -from doggos.utils import add_class, url_to_array +import ray -class EmbeddingGenerator(object): - def __init__(self, model_id): +class EmbedImages(object): + def __init__(self, model_id, device): # Load CLIP model and processor - self.model = CLIPModel.from_pretrained(model_id) self.processor = CLIPProcessor.from_pretrained(model_id) + self.model = CLIPModel.from_pretrained(model_id) + self.model.to(device) + self.device = device - def __call__(self, batch, device="cpu"): + def __call__(self, batch): # Load and preprocess images images = [ Image.fromarray(np.uint8(img)).convert("RGB") for img in batch["image"] ] inputs = self.processor(images=images, return_tensors="pt", padding=True).to( - device + self.device ) # Generate embeddings - self.model.to(device) with torch.inference_mode(): batch["embedding"] = self.model.get_image_features(**inputs).cpu().numpy() return batch -def get_top_matches(query_embedding, embeddings_ds, class_filters=[], n=4): - # Filter dataset (if needed) +def get_top_matches(query_embedding, embeddings_ds, class_filters=None, n=4): + rows = embeddings_ds.take_all() if class_filters: - embeddings_ds = embeddings_ds.filter(lambda row: row["class"] in class_filters) - - # Compute cosine similarities in batches - def compute_similarities(batch): - embeddings = np.stack(batch["embedding"]) - similarities = ( - 1 - cdist([query_embedding], embeddings, metric="cosine").flatten() - ) - return { - "class": batch["class"], - "path": batch["path"], - "similarity": similarities.tolist(), + class_filters = set(class_filters) + rows = [r for r in rows if r["class"] in class_filters] + if not rows: + return [] + + # Vectorise + embeddings = np.vstack([r["embedding"] for r in rows]).astype(np.float32) + sims = 1 - cdist([query_embedding], embeddings, metric="cosine")[0] + + # Stable top N in NumPy + k = min(n, sims.size) + idx = np.argpartition(-sims, k - 1)[:k] + idx = idx[np.argsort(-sims[idx])] + + # Package results + return [ + { + "class": rows[i]["class"], + "path": rows[i]["path"], + "similarity": float(sims[i]), } - - # Apply map_batches to compute similarities - similarities_ds = embeddings_ds.map_batches( - compute_similarities, - concurrency=4, - batch_size=128, - num_gpus=1, - ) - top_matches = similarities_ds.sort("similarity", descending=True).take(n) - return top_matches + for i in idx + ] def display_top_matches(url, matches): @@ -97,7 +98,7 @@ def display_top_matches(url, matches): # Batch embedding generation embeddings_ds = ds.map_batches( - EmbeddingGenerator, + EmbedImages, fn_constructor_kwargs={"model_id": "openai/clip-vit-base-patch32"}, fn_kwargs={"device": "cuda"}, concurrency=4, diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py index 7a278a75354e..2ca80e1ecf76 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py @@ -21,7 +21,7 @@ def predict_probabilities(self, batch, device="cuda"): predicted_probabilities = self.model.predict_probabilities(collate_fn(batch)) batch["probabilities"] = [ { - self.preprocessor.label_to_class[i]: prob + self.preprocessor.label_to_class[i]: float(prob) for i, prob in enumerate(probabilities) } for probabilities in predicted_probabilities diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py index 5cf7e07c3de1..52b85f02defe 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py @@ -1,15 +1,17 @@ -import os from urllib.parse import urlparse import mlflow -import ray +import numpy as np +import torch +from doggos.infer import TorchPredictor +from doggos.model import collate_fn +from doggos.utils import url_to_array from fastapi import FastAPI -from ray import serve +from PIL import Image from starlette.requests import Request +from transformers import CLIPModel, CLIPProcessor -from doggos.embed import EmbeddingGenerator, get_top_matches -from doggos.infer import TorchPredictor -from doggos.utils import url_to_array +from ray import serve # Define app api = FastAPI( @@ -22,92 +24,49 @@ @serve.deployment( num_replicas="1", ray_actor_options={ - "num_cpus": 2, + "num_cpus": 4, "num_gpus": 1, "accelerator_type": "L4", }, ) class ClassPredictor: - def __init__(self, artifacts_dir): + def __init__(self, model_id, artifacts_dir, device="cuda"): """Initialize the model.""" + # Embdding model + self.processor = CLIPProcessor.from_pretrained(model_id) + self.model = CLIPModel.from_pretrained(model_id) + self.model.to(device=device) + self.device = device + + # Trained classifier self.predictor = TorchPredictor.from_artifacts_dir(artifacts_dir=artifacts_dir) self.preprocessor = self.predictor.preprocessor def get_probabilities(self, url): - image = url_to_array(url=url) - ds = ray.data.from_items([{"image": image, "url": url}]) - ds = self.preprocessor.transform( - ds=ds, - concurrency=1, - batch_size=1, - num_gpus=1, + image = Image.fromarray(np.uint8(url_to_array(url=url))).convert("RGB") + inputs = self.processor(images=[image], return_tensors="pt", padding=True).to( + self.device ) - ds = ds.map_batches( - self.predictor.predict_probabilities, - fn_kwargs={"device": "cuda"}, - concurrency=1, - batch_size=1, - num_gpus=1, + with torch.inference_mode(): + embedding = self.model.get_image_features(**inputs).cpu().numpy() + probabilities = self.predictor.predict_probabilities( + collate_fn({"embedding": embedding}) ) - probabilities = ds.take_all()[0]["probabilities"] return probabilities -@serve.deployment( - num_replicas="1", - ray_actor_options={ - "num_cpus": 2, - "num_gpus": 1, - "accelerator_type": "L4", - }, -) -class EmbeddingSimilarity: - def __init__(self, embeddings_path): - self.embedding_generator = EmbeddingGenerator( - model_id="openai/clip-vit-base-patch32" - ) - self.embeddings_ds = ray.data.read_parquet(embeddings_path) # use vector DB - - def get_top_matches(self, url, probabilities, k): - # Top k class predictions - sorted_probabilities = sorted( - probabilities.items(), key=lambda x: x[1], reverse=True - ) - top_k = [item[0] for item in sorted_probabilities[0:k]] - - # Generate embedding - image = url_to_array(url=url) - embedding = self.embedding_generator({"image": [image]})["embedding"][0] - - # Filter for top matches - top_matches = get_top_matches( - query_embedding=embedding, - embeddings_ds=self.embeddings_ds, - class_filters=top_k, - n=5, - ) - return top_matches - - @serve.deployment(num_replicas="1", ray_actor_options={"num_cpus": 2}) @serve.ingress(api) class Doggos: - def __init__(self, classifier, embedder): + def __init__(self, classifier): self.classifier = classifier - self.embedder = embedder @api.post("/predict/") async def predict(self, request: Request): data = await request.json() probabilities = await self.classifier.get_probabilities.remote(url=data["url"]) - top_matches = await self.embedder.get_top_matches.remote( - url=data["url"], - probabilities=probabilities, - k=data["k"], - ) return { "probabilities": probabilities, - "top_matches": top_matches, } @@ -123,15 +82,12 @@ async def predict(self, request: Request): ) best_run = sorted_runs.iloc[0] artifacts_dir = urlparse(best_run.artifact_uri).path -embeddings_path = os.path.join("/mnt/user_storage", "doggos/embeddings") # Define app app = Doggos.bind( classifier=ClassPredictor.bind(artifacts_dir=artifacts_dir), - embedder=EmbeddingSimilarity.bind(embeddings_path=embeddings_path), ) if __name__ == "__main__": - # Run service locally serve.run(app, route_prefix="/") diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py index f285e92c3045..8d060d480c6f 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py @@ -5,14 +5,14 @@ import mlflow import numpy as np -import ray import torch import torch.nn.functional as F -from ray.train.torch import TorchTrainer - from doggos.data import Preprocessor from doggos.model import ClassificationModel, collate_fn from doggos.utils import add_class, set_seeds +from ray.train.torch import TorchTrainer + +import ray def train_epoch(ds, batch_size, model, num_classes, loss_fn, optimizer): @@ -173,7 +173,7 @@ def train_loop_per_worker(config): # Write processed data to cloud storage preprocessed_data_path = os.path.join( - "/mnt/user_storage", "doggos/preprocessed_data" + "/mnt/cluster_storage", "doggos/preprocessed_data" ) if os.path.exists(preprocessed_data_path): shutil.rmtree(preprocessed_data_path) # clean up diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/images/batch_inference.png b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/images/batch_inference.png index bb77bd1404ee287f056e832fbdca783276d5740e..5991634e63e7c62ee898b0282e1be2ee8a5d2c57 100644 GIT binary patch literal 148626 zcmeFZcT`i`)(46drHH6Br6Wg>-g~uyN>h4AKtOu$fyfa=rO82h35tNy0@6zo1S!%b 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z%DSm$nYWIBPSGUnp`Ib9Aa)Fv?K K=d#Wzp$Py;UmcwQ literal 0 HcmV?d00001 diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb index 766c07af37f2..858f43fa7b64 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb @@ -9,7 +9,7 @@ "
    \n", " \n", "\n", - " \n", + " \n", "
    \n", "\n", "This tutorial executes a batch inference workload that connects the following heterogeneous workloads:\n", @@ -18,39 +18,26 @@ "- batch inference (GPU)\n", "- distributed write to cloud storage (CPU)\n", "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    Ray Data streaming execution \n", - "\n", - "❌ Traditional batch execution, for example, non-streaming like Spark without pipelining, SageMaker Batch Transform:\n", - "- Reads the entire dataset into memory or a persistent intermediate format.\n", - "- Only then starts applying transformations like .map, .filter, etc.\n", - "- Higher memory pressure and startup latency.\n", - "\n", - "✅ Streaming execution with Ray Data:\n", - "- Starts processing chunks (\"blocks\") as they're loaded. No need to wait for entire dataset to load.\n", - "- Reduces memory footprint (no OOMs) and speeds up time to first output.\n", - "- Increase resource utilization by reducing idle time.\n", - "- Online-style inference pipelines with minimal latency.\n", - "\n", - "\n", - "\n", - "**Note**: Ray Data isn't a real-time stream processing engine like Flink or Kafka Streams. Instead, it's batch processing with streaming execution, which is especially useful for iterative ML workloads, ETL pipelines, and preprocessing before training or inference. Ray typically has a [**2-17x throughput improvement**](https://www.anyscale.com/blog/offline-batch-inference-comparing-ray-apache-spark-and-sagemaker#-results-of-throughput-from-experiments) over solutions like Spark and SageMaker Batch Transform, etc.\n" + "" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[92mSuccessfully registered `matplotlib, torch` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_eys8cskj5aivghbf773dp2vmcd?workspace-tab=dependencies\u001b[0m\n" + ] + } + ], "source": [ "%%bash\n", - "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.0\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" + "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.1\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" ] }, { @@ -84,15 +71,6 @@ "Start by reading the data from a public cloud storage bucket." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    ✍️ Distributed READ/WRITE \n", - "\n", - "Ray Data supports a wide range of data sources for both [loading](https://docs.ray.io/en/latest/data/loading-data.html) and [saving](https://docs.ray.io/en/latest/data/saving-data.html) from generic binary files in cloud storage to structured data formats used by modern data platforms. This example reads data from a public S3 bucket prepared with the dataset. This `read` operation—like the `write` operation in a later step—runs in a distributed fashion. As a result, Ray Data processes the data in parallel across the cluster and doesn't need to load the data entirely into memory at once, making data loading scalable and memory-efficient." - ] - }, { "cell_type": "code", "execution_count": null, @@ -102,18 +80,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 23:09:38,330\tINFO worker.py:1660 -- Connecting to existing Ray cluster at address: 10.0.56.137:6379...\n", - "2025-05-29 23:09:38,340\tINFO worker.py:1843 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-05-29 23:09:38,347\tINFO packaging.py:367 -- Pushing file package 'gcs://_ray_pkg_dc30a661af215c370a2929c024011d6aa1487d41.zip' (1.85MiB) to Ray cluster...\n", - "2025-05-29 23:09:38,355\tINFO packaging.py:380 -- Successfully pushed file package 'gcs://_ray_pkg_dc30a661af215c370a2929c024011d6aa1487d41.zip'.\n", - "2025-05-29 23:09:38,490\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:09:38,491\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" + "2025-06-23 14:04:39,249\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.52.172:6379...\n", + "2025-06-23 14:04:39,260\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-06-23 14:04:39,266\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_a644723e367c78760222a7f2fcce949b2fe72f7b.zip' (1.92MiB) to Ray cluster...\n", + "2025-06-23 14:04:39,275\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_a644723e367c78760222a7f2fcce949b2fe72f7b.zip'.\n", + "2025-06-23 14:04:39,581\tINFO dataset.py:3048 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-06-23 14:04:39,583\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_11_0\n", + "2025-06-23 14:04:39,594\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_11_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:04:39,595\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_11_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d430c7a188114ac5a932a7386d8ea6f1", + "model_id": "9dbfa59a93134b189b928b743d442130", "version_major": 2, "version_minor": 0 }, @@ -127,7 +107,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fe890ae99694480bb742841c5d07cd57", + "model_id": "d44b4fa98a6343d9a31b3dba01234981", "version_major": 2, "version_minor": 0 }, @@ -141,7 +121,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "97a4e0ae62c64f678b5a41f8ac48a3d0", + "model_id": "3c0885d0896e4fac8b5a9bcb0f3833f1", "version_major": 2, "version_minor": 0 }, @@ -152,117 +132,80 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +10s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m >>> [DBG] partition_files: before: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __path: [[\"doggos-dataset/train/basset/basset_10028.jpg\",\"doggos-dataset/train/basset/basset_10054.jpg\",\"doggos-dataset/train/basset/basset_10072.jpg\",\"doggos-dataset/train/basset/basset_10095.jpg\",\"doggos-dataset/train/basset/basset_10110.jpg\",...,\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_889.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9618.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_962.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_967.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9739.jpg\"]]\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __file_size: [[56919,36417,21093,23721,12511,...,19267,43746,29862,37592,32578]]\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m >>> [DBG] partition_files: after: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __path: [[\"doggos-dataset/train/malinois/malinois_9969.jpg\",\"doggos-dataset/train/great_dane/great_dane_5588.jpg\",\"doggos-dataset/train/labrador_retriever/labrador_retriever_57.jpg\",\"doggos-dataset/train/border_collie/border_collie_2660.jpg\",\"doggos-dataset/train/french_bulldog/french_bulldog_198.jpg\",...,\"doggos-dataset/train/great_dane/great_dane_34102.jpg\",\"doggos-dataset/train/italian_greyhound/italian_greyhound_75.jpg\",\"doggos-dataset/train/miniature_schnauzer/miniature_schnauzer_6627.jpg\",\"doggos-dataset/train/pug/pug_3795.jpg\",\"doggos-dataset/train/boxer/boxer_11032.jpg\"]]\n", - "\u001b[36m(ListFiles pid=99511, ip=10.0.153.142)\u001b[0m __file_size: [[10236,32828,14384,20457,145939,...,43309,33583,34465,36311,45241]]\n", - "\u001b[36m(autoscaler +1m20s)\u001b[0m [autoscaler] [8CPU-32GB] Attempting to add 1 node(s) to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +1m20s)\u001b[0m [autoscaler] [8CPU-32GB] Launched 1 instances.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-05-29 23:11:00,373\tINFO dataset.py:2809 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-05-29 23:11:00,376\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:11:00,377\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> LimitOperator[limit=1]\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b1eedcdbedc84305a41d7c7aa5b3470c", + "model_id": "a05586f2d15948bba416a1200dcd8fa6", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" + "- limit=1 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, "output_type": "display_data" }, { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0862742a46114392bb5b0ec1f9c2b7c3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- limit=1 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-06-23 14:05:56,467\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_11_0 execution finished in 76.87 seconds\n" + ] }, { "data": { "text/plain": [ - "[{'image': array([[[246, 220, 187],\n", - " [248, 226, 185],\n", - " [247, 225, 184],\n", + "[{'image': array([[[ 32, 52, 77],\n", + " [ 27, 47, 72],\n", + " [ 28, 43, 72],\n", " ...,\n", - " [123, 114, 109],\n", - " [117, 123, 121],\n", - " [122, 117, 123]],\n", + " [235, 235, 233],\n", + " [236, 236, 234],\n", + " [236, 236, 234]],\n", " \n", - " [[244, 219, 179],\n", - " [248, 225, 184],\n", - " [246, 224, 185],\n", + " [[ 34, 51, 77],\n", + " [ 30, 47, 73],\n", + " [ 30, 45, 74],\n", " ...,\n", - " [125, 117, 114],\n", - " [111, 117, 115],\n", - " [121, 117, 118]],\n", + " [233, 233, 231],\n", + " [233, 233, 231],\n", + " [233, 233, 231]],\n", " \n", - " [[247, 223, 179],\n", - " [248, 225, 183],\n", - " [244, 220, 184],\n", + " [[ 35, 50, 79],\n", + " [ 32, 47, 76],\n", + " [ 33, 48, 79],\n", " ...,\n", - " [140, 139, 135],\n", - " [119, 123, 122],\n", - " [124, 121, 114]],\n", + " [237, 237, 237],\n", + " [237, 237, 237],\n", + " [237, 237, 237]],\n", " \n", " ...,\n", " \n", - " [[124, 104, 105],\n", - " [113, 103, 91],\n", - " [117, 96, 93],\n", + " [[ 55, 80, 76],\n", + " [ 65, 90, 86],\n", + " [ 56, 78, 75],\n", " ...,\n", - " [175, 169, 169],\n", - " [174, 170, 167],\n", - " [169, 176, 160]],\n", + " [142, 168, 133],\n", + " [157, 184, 149],\n", + " [140, 170, 132]],\n", " \n", - " [[121, 102, 98],\n", - " [117, 105, 91],\n", - " [118, 97, 94],\n", + " [[ 52, 72, 70],\n", + " [ 77, 97, 95],\n", + " [ 78, 97, 95],\n", " ...,\n", - " [196, 188, 201],\n", - " [188, 186, 199],\n", - " [187, 191, 192]],\n", + " [125, 151, 112],\n", + " [141, 169, 128],\n", + " [180, 211, 167]],\n", " \n", - " [[121, 102, 96],\n", - " [118, 106, 90],\n", - " [115, 94, 93],\n", + " [[ 92, 108, 107],\n", + " [123, 139, 138],\n", + " [135, 149, 149],\n", " ...,\n", - " [186, 173, 201],\n", - " [180, 176, 203],\n", - " [184, 183, 199]]], dtype=uint8),\n", - " 'path': 'doggos-dataset/train/french_bulldog/french_bulldog_198.jpg'}]" + " [125, 152, 109],\n", + " [ 87, 116, 68],\n", + " [127, 159, 109]]], dtype=uint8),\n", + " 'path': 'doggos-dataset/train/saint_bernard/saint_bernard_7024.jpg'}]" ] }, "execution_count": null, @@ -277,10 +220,18 @@ " include_paths=True, \n", " shuffle=\"files\",\n", ")\n", - "ds = ds.materialize()\n", "ds.take(1)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    ✍️ Distributed READ/WRITE \n", + "\n", + "Ray Data supports a wide range of data sources for both [loading](https://docs.ray.io/en/latest/data/loading-data.html) and [saving](https://docs.ray.io/en/latest/data/saving-data.html) from generic binary files in cloud storage to structured data formats used by modern data platforms. This example reads data from a public S3 bucket prepared with the dataset. This `read` operation, much like the `write` operation in a later step, runs in a distributed fashion. As a result, Ray Data processes the data in parallel across the cluster and doesn't need to load the data entirely into memory at once, making data loading scalable and memory-efficient." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -288,8 +239,15 @@ "
    💡 Ray Data best practices\n", "\n", "- **trigger lazy execution**: use [`take`](https://docs.ray.io/en/latest/data/api/doc/ray.data.Dataset.take.html) to trigger the execution because Ray has lazy execution mode, which decreases execution time and memory utilization. But, this approach means that you need an operation like take, count, write, etc., to actually execute the workflow DAG.\n", + "- **shuffling strategies**: to shuffle the dataset because it's all ordered by class, randomly shuffle the ordering of input files before reading. Ray Data also provides an extensive list of [shuffling strategies](https://docs.ray.io/en/latest/data/shuffling-data.html) such as local shuffles, per-epoch shuffles, etc.\n", "- **`materialize` during development**: use [`materialize`](https://docs.ray.io/en/latest/data/api/doc/ray.data.Dataset.materialize.html) to execute and materialize the dataset into Ray's [shared memory object store memory](https://docs.ray.io/en/latest/ray-core/objects.html). This way, you save a checkpoint at this point and future operations on the dataset can start from this point. You won't rerun all operations on the dataset again from scratch. This feature is convenient during development, especially in a stateful environment like Jupyter notebooks, because you can run from saved checkpoints.\n", - "- **shuffling strategies**: to shuffle the dataset because it's all ordered by class, randomly shuffle the ordering of input files before reading. Ray Data also provides an extensive list of [shuffling strategies](https://docs.ray.io/en/latest/data/shuffling-data.html) such as local shuffles, per-epoch shuffles, etc." + "\n", + " ```python\n", + " ds = ds.map(...)\n", + " ds = ds.materialize()\n", + " ```\n", + "\n", + " **Note**: only use this during development and use it with small datasets, as it will load it all into memory.\n" ] }, { @@ -314,143 +272,45 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-05-29 23:11:00,646\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:11:00,647\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[Map(add_class)] -> LimitOperator[limit=1]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0ba2f18f573d473f8896ff8428a10d0b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0d2f7b5aa3f740779df212a746179de3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- Map(add_class) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3c1e8e9106714d8b8919be7710361da8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- limit=1 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[{'image': array([[[246, 220, 187],\n", - " [248, 226, 185],\n", - " [247, 225, 184],\n", - " ...,\n", - " [123, 114, 109],\n", - " [117, 123, 121],\n", - " [122, 117, 123]],\n", - " \n", - " [[244, 219, 179],\n", - " [248, 225, 184],\n", - " [246, 224, 185],\n", - " ...,\n", - " [125, 117, 114],\n", - " [111, 117, 115],\n", - " [121, 117, 118]],\n", - " \n", - " [[247, 223, 179],\n", - " [248, 225, 183],\n", - " [244, 220, 184],\n", - " ...,\n", - " [140, 139, 135],\n", - " [119, 123, 122],\n", - " [124, 121, 114]],\n", - " \n", - " ...,\n", - " \n", - " [[124, 104, 105],\n", - " [113, 103, 91],\n", - " [117, 96, 93],\n", - " ...,\n", - " [175, 169, 169],\n", - " [174, 170, 167],\n", - " [169, 176, 160]],\n", - " \n", - " [[121, 102, 98],\n", - " [117, 105, 91],\n", - " [118, 97, 94],\n", - " ...,\n", - " [196, 188, 201],\n", - " [188, 186, 199],\n", - " [187, 191, 192]],\n", - " \n", - " [[121, 102, 96],\n", - " [118, 106, 90],\n", - " [115, 94, 93],\n", - " ...,\n", - " [186, 173, 201],\n", - " [180, 176, 203],\n", - " [184, 183, 199]]], dtype=uint8),\n", - " 'path': 'doggos-dataset/train/french_bulldog/french_bulldog_198.jpg',\n", - " 'class': 'french_bulldog'}]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Add class.\n", - "ds = ds.map(\n", - " add_class,\n", + "ds = ds.map(add_class,\n", " num_cpus=1,\n", " num_gpus=0,\n", - " concurrency=4)\n", - "ds.take(1)" + " concurrency=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Batch embeddings\n", + "
    Ray Data streaming execution \n", "\n", - "\n" + "❌ Traditional batch execution, for example, non-streaming like Spark without pipelining, SageMaker Batch Transform:\n", + "- Reads the entire dataset into memory or a persistent intermediate format.\n", + "- Only then starts applying transformations like .map, .filter, etc.\n", + "- Higher memory pressure and startup latency.\n", + "\n", + "✅ Streaming execution with Ray Data:\n", + "- Starts processing chunks (\"blocks\") as they're loaded. No need to wait for entire dataset to load.\n", + "- Reduces memory footprint (no OOMs) and speeds up time to first output.\n", + "- Increase resource utilization by reducing idle time.\n", + "- Online-style inference pipelines with minimal latency.\n", + "\n", + "\n", + "\n", + "**Note**: Ray Data isn't a real-time stream processing engine like Flink or Kafka Streams. Instead, it's batch processing with streaming execution, which is especially useful for iterative ML workloads, ETL pipelines, and preprocessing before training or inference. Ray typically has a [**2-17x throughput improvement**](https://www.anyscale.com/blog/offline-batch-inference-comparing-ray-apache-spark-and-sagemaker#-results-of-throughput-from-experiments) over solutions like Spark and SageMaker Batch Transform, etc.\n" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "## Batch embeddings\n", + "\n", + "\n" + ] }, { "cell_type": "markdown", @@ -477,36 +337,59 @@ "metadata": {}, "outputs": [], "source": [ - "class EmbeddingGenerator(object):\n", - " def __init__(self, model_id):\n", - " # Load CLIP model and processor.\n", - " self.model = CLIPModel.from_pretrained(model_id)\n", + "class EmbedImages(object):\n", + " def __init__(self, model_id, device):\n", + " # Load CLIP model and processor\n", " self.processor = CLIPProcessor.from_pretrained(model_id)\n", + " self.model = CLIPModel.from_pretrained(model_id)\n", + " self.model.to(device)\n", + " self.device = device\n", "\n", - " def __call__(self, batch, device=\"cpu\"):\n", - " # Load and preprocess images.\n", + " def __call__(self, batch):\n", + " # Load and preprocess images\n", " images = [Image.fromarray(np.uint8(img)).convert(\"RGB\") for img in batch[\"image\"]]\n", - " inputs = self.processor(images=images, return_tensors=\"pt\", padding=True).to(device)\n", + " inputs = self.processor(images=images, return_tensors=\"pt\", padding=True).to(self.device)\n", "\n", - " # Generate embeddings.\n", - " self.model.to(device)\n", + " # Generate embeddings\n", " with torch.inference_mode():\n", " batch[\"embedding\"] = self.model.get_image_features(**inputs).cpu().numpy()\n", "\n", " return batch" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    Ray object store references \n", + "\n", + "Instead of initializing the same model for each instance of the class above, we can instead use references to Ray's [shared memory object store](https://docs.ray.io/en/latest/ray-core/objects.html#objects-in-ray). We can load the model once, store it inside the default object store and then have each instance of our class refer to it.\n", + "\n", + "```python\n", + "model = load_model(...)\n", + "model_ref = ray.put(model) \n", + "\n", + "class Foo:\n", + " def __init__(self, model_ref):\n", + " self.model = ray.get(model_ref)\n", + " ...\n", + "```\n" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# Batch embeddings.\n", + "# Generate batch embeddings\n", "embeddings_ds = ds.map_batches(\n", - " EmbeddingGenerator,\n", - " fn_constructor_kwargs={\"model_id\": \"openai/clip-vit-base-patch32\"}, # class kwargs\n", - " fn_kwargs={\"device\": \"cuda\"}, # __call__ kwargs\n", + " EmbedImages,\n", + " fn_constructor_kwargs={\n", + " \"model_id\": \"openai/clip-vit-base-patch32\", \n", + " \"device\": \"cuda\",\n", + " }, # class kwargs\n", + " fn_kwargs={}, # __call__ kwargs\n", " concurrency=4,\n", " batch_size=64,\n", " num_gpus=1,\n", @@ -518,35 +401,38 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "## Ray Data" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    \n", - "\n", - "Ray Data makes it extremely easy to distribute workloads but also ensures that they happen:\n", - "- **efficiently**: minimize CPU/GPU idle time with heterogeneous resource scheduling.\n", - "- **at scale**: streaming execution to petabyte-scale datasets, especially when [working with LLMs](https://docs.ray.io/en/latest/data/working-with-llms.html)\n", - "- **reliably** by checkpointing processes, especially when running workloads on spot instances with on-demand fallback.\n", - "- **flexibly**: connect to data from any source, apply transformations, and save to any format or location for your next workload.\n", + "Ray Data not only makes it extremely easy to distribute workloads but also ensures that they with:\n", + "- **efficiency**: minimize CPU/GPU idle time with heterogeneous resource scheduling.\n", + "- **scalability**: streaming execution to petabyte-scale datasets, especially when [working with LLMs](https://docs.ray.io/en/latest/data/working-with-llms.html)\n", + "- **reliability** by checkpointing processes, especially when running workloads on spot instances with on-demand fallback.\n", + "- **flexibility**: connect to data from any source, apply transformations, and save to any format or location for your next workload.\n", "\n", - "\n", - "\n", - "[RayTurbo Data](https://docs.anyscale.com/rayturbo/rayturbo-data) has more functionality on top of Ray Data:\n", - "- **accelerated metadata fetching** to improve reading the first time from large datasets.\n", - "- **optimized autoscaling** where Jobs can kick off before waiting for the entire cluster to start.\n", - "- **high reliability** where entire fails jobs, like head node, cluster, uncaptured exceptions, etc., can resume from checkpoints. OSS Ray can only recover from worker node failures." + "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    🗂️ Storage on Anyscale \n", - "\n", - "You can always store to the data inside [any storage buckets](https://docs.anyscale.com/configuration/storage/#private-storage-buckets) but Anyscale offers a [default storage bucket](https://docs.anyscale.com/configuration/storage/#anyscale-default-storage-bucket) to make things easier. You also have plenty of other [storage options](https://docs.anyscale.com/configuration/storage/) as well, for example, shared at the cluster, user and cloud levels." + "🔥 [RayTurbo Data](https://docs.anyscale.com/rayturbo/rayturbo-data) has more functionality on top of Ray Data:\n", + "- **accelerated metadata fetching** to improve reading from large datasets (start processes earlier).\n", + "- **optimized autoscaling** where actor pools are scaled up faster, start jobs before entire cluster is ready, etc.\n", + "- **high reliability** where entire fails jobs (even on spot instances), like head node, cluster, uncaptured exceptions, etc., can resume from checkpoints. OSS Ray can only recover from worker node failures." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data storage" ] }, { @@ -567,14 +453,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 23:11:06,125\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:11:06,126\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-06-23 14:06:01,973\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_16_0\n", + "2025-06-23 14:06:02,000\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_16_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:06:02,002\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_16_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ed8ab77058b443eeacea83bc5b67a666", + "model_id": "5933c94751554584b0efe1af1c11b265", "version_major": 2, "version_minor": 0 }, @@ -589,37 +476,46 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=108194, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "2025-06-23 14:06:02,029\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +1m35s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Attempting to add 1 node(s) to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +1m35s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Launched 1 instances.\n", - "\u001b[36m(autoscaler +2m0s)\u001b[0m [autoscaler] Cluster upscaled to {64 CPU, 4 GPU}.\n", - "\u001b[36m(autoscaler +2m25s)\u001b[0m [autoscaler] Cluster upscaled to {112 CPU, 8 GPU}.\n", - "\u001b[36m(autoscaler +3m0s)\u001b[0m [autoscaler] Downscaling node i-0e0f480b334ebf54f (node IP: 10.0.184.53) due to node idle termination.\n", - "\u001b[36m(autoscaler +3m0s)\u001b[0m [autoscaler] Cluster resized to {104 CPU, 8 GPU}.\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "09923297706a4c6ca9bdc8c217fef9dd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "- ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(_MapWorker pid=3430, ip=10.0.132.59)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 2x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "61862104a5dd47b8be8364d4a9f91677", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "- ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "88afef850adb49f1a665c665c319025f", + "model_id": "2f089288b9214fde9a8c93dad13fc7ab", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class) 1: 0.00 row [00:00, ? row/s]" + "- Map(add_class) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -628,12 +524,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "82841c2c0f58468ea23450a66556b353", + "model_id": "f22efa3031dd4b86903f20c17d00946f", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 2: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -642,12 +538,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "600d51a0d651483fa417ac641862bf94", + "model_id": "915c9ece141c44519b93546cc8ab7724", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(drop_columns)->Write 3: 0.00 row [00:00, ? row/s]" + "- MapBatches(drop_columns)->Write 5: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -657,7 +553,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 23:13:24,951\tINFO dataset.py:4178 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" + "\u001b[36m(_MapWorker pid=2910, ip=10.0.69.70)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-06-23 14:06:22,379\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", + "2025-06-23 14:06:22,744\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_16_0 execution finished in 20.74 seconds\n", + "2025-06-23 14:06:22,842\tINFO dataset.py:4603 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +5m51s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", + "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-018706717a4455b75 (node IP: 10.0.65.200) due to node idle termination.\n", + "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-0e3238b7f703616e7 (node IP: 10.0.127.236) due to node idle termination.\n", + "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-0fcefb76d19edf42b (node IP: 10.0.49.153) due to node idle termination.\n", + "\u001b[36m(autoscaler +5m56s)\u001b[0m [autoscaler] Cluster resized to {8 CPU, 2 GPU}.\n" ] } ], @@ -669,6 +579,15 @@ "embeddings_ds.write_parquet(embeddings_path)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    🗂️ Storage on Anyscale \n", + "\n", + "You can always store to the data inside [any storage buckets](https://docs.anyscale.com/configuration/storage/#private-storage-buckets) but Anyscale offers a [default storage bucket](https://docs.anyscale.com/configuration/storage/#anyscale-default-storage-bucket) to make things easier. You also have plenty of other [storage options](https://docs.anyscale.com/configuration/storage/) as well, for example, shared at the cluster, user and cloud levels." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -680,34 +599,37 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "
    🔎 Monitoring and debugging with Ray \n", - "\n", + "## Monitoring and Debugging" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "While you're developing out workloads, Ray offers logs and an [observability dashboard](https://docs.ray.io/en/latest/ray-observability/getting-started.html) that you can use to monitor and debug. The dashboard includes a lot of different components such as:\n", "\n", "- memory, utilization, etc., of the tasks running in the [cluster](https://docs.ray.io/en/latest/ray-observability/getting-started.html#dash-node-view)\n", "\n", - "\n", + "\n", "\n", "- views to see all running tasks, utilization across instance types, autoscaling, etc.\n", "\n", - "" + "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    🔎➕➕ Monitoring and debugging on Anyscale \n", - "\n", - "While OSS Ray comes with an extensive observability suite, Anyscale takes it many steps further to make it easier and faster to monitor and debug workloads.\n", + "🔥 While OSS Ray comes with an extensive observability suite, Anyscale takes it many steps further to make it easier and faster to monitor and debug workloads.\n", "\n", "- Ray workload specific dashboard, like Data, Train, etc., that can breakdown the tasks\n", "\n", - "\n", + "\n", "\n", "- [unified log viewer](https://docs.anyscale.com/monitoring/accessing-logs/) to see logs from *all* driver and worker processes\n", "\n", - "\n", + "\n", "\n", "\n" ] @@ -718,14 +640,12 @@ "source": [ "## Production jobs\n", "\n", - "
    📦 Anyscale Jobs \n", - "\n", "[Anyscale Jobs](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)) allows you to execute discrete workloads in production such as batch inference, embeddings generation, or model fine-tuning.\n", "- [define and manage](https://docs.anyscale.com/platform/jobs/manage-jobs) Jobs in many different ways, including with a CLI or Python SDK.\n", "- set up [queues](https://docs.anyscale.com/platform/jobs/job-queues) and [schedules](https://docs.anyscale.com/platform/jobs/schedules).\n", "- set up all the [observability, alerting, etc.](https://docs.anyscale.com/platform/jobs/monitoring-and-debugging) around your Jobs.\n", "\n", - "" + "" ] }, { @@ -737,7 +657,8 @@ "**Note**: \n", "- this step uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", "- you can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", - "- when you don't specify compute while launching from a workspace, the configuration defaults to the compute configuration of the workspace." + "- when you don't specify compute while launching from a workspace, the configuration defaults to the compute configuration of the workspace.\n", + "- and of course we can launch Jobs from anywhere (not just from within Workspaces) where we can specify the compute config and dependencies for the Job to use. Learn more on how to [create and manage Jobs](https://docs.anyscale.com/platform/jobs/manage-jobs)." ] }, { @@ -748,6 +669,7 @@ "# Production batch job.\n", "anyscale job submit --name=generate-doggos-embeddings \\\n", " --containerfile=\"/home/ray/default/containerfile\" \\\n", + " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", " --working-dir=\"/home/ray/default\" \\\n", " --exclude=\"\" \\\n", " --max-retries=0 \\\n", @@ -759,7 +681,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "" + "" ] }, { @@ -805,13 +727,6 @@ "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" - ] - }, { "data": { "text/plain": [ @@ -827,7 +742,7 @@ "# Embed input image.\n", "url = \"https://doggos-dataset.s3.us-west-2.amazonaws.com/samara.png\"\n", "image = url_to_array(url=url)\n", - "embedding_generator = EmbeddingGenerator(model_id=\"openai/clip-vit-base-patch32\")\n", + "embedding_generator = EmbedImages(model_id=\"openai/clip-vit-base-patch32\", device=\"cpu\")\n", "embedding = embedding_generator({\"image\": [image]})[\"embedding\"][0]\n", "np.shape(embedding)" ] @@ -841,14 +756,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 23:13:32,094\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:13:32,095\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> AggregateNumRows[AggregateNumRows]\n" + "2025-06-23 14:13:37,591\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_20_0\n", + "2025-06-23 14:13:37,597\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_20_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:13:37,598\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_20_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4f4ca56afa414d51bedc44a3639945f5", + "model_id": "95d21fb5261949a69e7b9b52e9c93605", "version_major": 2, "version_minor": 0 }, @@ -859,50 +775,15 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(_MapWorker pid=3634, ip=10.0.132.59)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8fdcaab1fa94479bbc1caacf6b2728af", + "model_id": "ef0d324d477c42e587bbc19eed93697d", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f4162e5a6ca44465a4d05faf36ccbd17", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(EmbeddingGenerator) 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "efc39891e707444e8b1cd50620170f0d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(drop_columns) 3: 0.00 row [00:00, ? row/s]" + "- ListFiles 1: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -911,171 +792,24 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "79266071bfbc4debb8021cdfd4e1a31a", + "model_id": "e896cad5fe264723a3cc3cd4f6a64ebf", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- AggregateNumRows 4: 0.00 row [00:00, ? row/s]" + "- ReadFiles 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "data": { - "text/plain": [ - "2880" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embeddings_ds.count()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 23:13:44,705\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 23:13:44,705\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[MapBatches(compute_similarities)] -> AllToAllOperator[Sort] -> LimitOperator[limit=5]\n" + "2025-06-23 14:13:38,825\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_20_0 execution finished in 1.23 seconds\n" ] }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "25d5c0fd88ba486b97036c8108169cbb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "03020730e75245c19780a973809ede7e", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e44848720ab7474fbc49d83bbacfd4bd", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a5660862caf1487fa504bd9f0a5c83d1", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(compute_similarities) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8877861a8d7f4f9188cea7ebda2f8894", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- Sort 4: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c3eb6ef13d524f8eb366bdc9b18b1ef5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Sort Sample 5: 0%| | 0.00/1.00 [00:00\n", " \n", "\n", - " \n", + " \n", "
    \n", "\n", "This tutorial executes a distributed training workload that connects the following heterogeneous workloads:\n", @@ -20,7 +20,7 @@ "\n", "**Note**: this tutorial doesn't tune the model but see [Ray Tune](https://docs.ray.io/en/latest/tune/index.html) for experiment execution and hyperparameter tuning at any scale.\n", "\n", - "" + "" ] }, { @@ -73,18 +73,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:27:36,501\tINFO worker.py:1660 -- Connecting to existing Ray cluster at address: 10.0.56.137:6379...\n", - "2025-05-29 17:27:36,512\tINFO worker.py:1843 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-05-29 17:27:36,600\tINFO packaging.py:575 -- Creating a file package for local module '../'.\n", - "2025-05-29 17:27:36,665\tWARNING packaging.py:417 -- File /home/ray/default/foundational-ray-app/notebooks/../.git/objects/pack/pack-b8b7f3cf34764341ace726e9197e18f11b5aaedc.pack is very large (15.84MiB). Consider adding this file to the 'excludes' list to skip uploading it: `ray.init(..., runtime_env={'excludes': ['/home/ray/default/foundational-ray-app/notebooks/../.git/objects/pack/pack-b8b7f3cf34764341ace726e9197e18f11b5aaedc.pack']})`\n", - "2025-05-29 17:27:36,743\tINFO packaging.py:367 -- Pushing file package 'gcs://_ray_pkg_01dff90bc6ace53f.zip' (29.50MiB) to Ray cluster...\n", - "2025-05-29 17:27:36,886\tINFO packaging.py:380 -- Successfully pushed file package 'gcs://_ray_pkg_01dff90bc6ace53f.zip'.\n" + "2025-06-23 14:26:58,662\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.52.172:6379...\n", + "2025-06-23 14:26:58,674\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-06-23 14:26:58,721\tINFO packaging.py:588 -- Creating a file package for local module '../'.\n", + "2025-06-23 14:26:58,781\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_df54fa2aa282ae62.zip' (13.77MiB) to Ray cluster...\n", + "2025-06-23 14:26:58,845\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_df54fa2aa282ae62.zip'.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "33d35af1c9a04d46991a09924de9c1e7", + "model_id": "0ee0ee1a3af84e0481f83f2e8802e581", "version_major": 2, "version_minor": 0 }, @@ -108,11 +107,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -125,7 +124,7 @@ "\n" ], "text/plain": [ - "RayContext(dashboard_url='session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com', python_version='3.12.9', ray_version='2.44.1', ray_commit='66b3699996151045a71991762f4f83ecc03f881e')" + "RayContext(dashboard_url='session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.47.1', ray_commit='e06f523c450fb1c99d8f347f8bfcc4085cc68b66')" ] }, "execution_count": null, @@ -137,10 +136,12 @@ "# Enable Ray Train v2. It's too good to wait for public release!\n", "os.environ[\"RAY_TRAIN_V2_ENABLED\"] = \"1\"\n", "ray.init(\n", + " # connect to existing ray runtime (from previous notebook if still running)\n", " address=os.environ.get(\"RAY_ADDRESS\", \"auto\"),\n", " runtime_env={\n", " \"env_vars\": {\"RAY_TRAIN_V2_ENABLED\": \"1\"}, \n", - " \"working_dir\": \"../\", # to import doggos (default working_dir=\".\")\n", + " # working_dir to import doggos (default working_dir=\".\")\n", + " \"working_dir\": \"../\",\n", " },\n", ")" ] @@ -152,7 +153,7 @@ "outputs": [], "source": [ "%%bash\n", - "# This will be removed once Ray Train v2 is part of latest Ray version.\n", + "# This will be removed once Ray Train v2 is enabled by default.\n", "echo \"RAY_TRAIN_V2_ENABLED=1\" > /home/ray/default/.env" ] }, @@ -233,7 +234,23 @@ "metadata": {}, "outputs": [], "source": [ - "from doggos.embed import EmbeddingGenerator" + "def convert_to_label(row, class_to_label):\n", + " if \"class\" in row:\n", + " row[\"label\"] = class_to_label[row[\"class\"]]\n", + " return row" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from PIL import Image\n", + "import torch\n", + "from transformers import CLIPModel, CLIPProcessor\n", + "from doggos.embed import EmbedImages" ] }, { @@ -253,24 +270,21 @@ " self.class_to_label = {tag: i for i, tag in enumerate(self.classes)}\n", " self.label_to_class = {v: k for k, v in self.class_to_label.items()}\n", " return self\n", - "\n", - " def convert_to_label(self, row, class_to_label):\n", - " if \"class\" in row:\n", - " row[\"label\"] = class_to_label[row[\"class\"]]\n", - " return row\n", " \n", " def transform(self, ds, concurrency=4, batch_size=64, num_gpus=1):\n", " ds = ds.map(\n", - " self.convert_to_label, \n", + " convert_to_label, \n", " fn_kwargs={\"class_to_label\": self.class_to_label},\n", " )\n", " ds = ds.map_batches(\n", - " EmbeddingGenerator,\n", - " fn_constructor_kwargs={\"model_id\": \"openai/clip-vit-base-patch32\"},\n", - " fn_kwargs={\"device\": \"cuda\"}, \n", - " concurrency=concurrency, \n", - " batch_size=batch_size,\n", - " num_gpus=num_gpus,\n", + " EmbedImages,\n", + " fn_constructor_kwargs={\n", + " \"model_id\": \"openai/clip-vit-base-patch32\", \n", + " \"device\": \"cuda\",\n", + " },\n", + " concurrency=4,\n", + " batch_size=64,\n", + " num_gpus=1,\n", " accelerator_type=\"L4\",\n", " )\n", " ds = ds.drop_columns([\"image\"])\n", @@ -290,15 +304,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:27:48,949\tINFO dataset.py:2809 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-05-29 17:27:48,960\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:27:48,960\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-06-23 14:27:10,597\tINFO dataset.py:3048 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-06-23 14:27:10,599\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_65_0\n", + "2025-06-23 14:27:10,612\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_65_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:27:10,613\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_65_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0407d1a024934c91b057ec0c1639f125", + "model_id": "6c2629752381401bb193d0d84fa68963", "version_major": 2, "version_minor": 0 }, @@ -312,7 +327,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fbc426836b6846959004387547b7b537", + "model_id": "ffc73aed04544803a19756d5fc09c575", "version_major": 2, "version_minor": 0 }, @@ -326,7 +341,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "36d03f454e5f40efb5b76b684adb5e7a", + "model_id": "7cb26d7641104cfdabb606292026da04", "version_major": 2, "version_minor": 0 }, @@ -340,7 +355,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "94807e4ad66746d981510dd1c13951b8", + "model_id": "cbd97058f69741b0a40e8bb312a88065", "version_major": 2, "version_minor": 0 }, @@ -354,7 +369,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "55457eb98eed4f4dba8a9d5856d24f39", + "model_id": "654ec007f7184ec0a9c2c487dd3df860", "version_major": 2, "version_minor": 0 }, @@ -368,7 +383,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "78be104361eb4220a7bbcd0df81ba466", + "model_id": "58acb9149bf644be8386a8da980ea125", "version_major": 2, "version_minor": 0 }, @@ -382,7 +397,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "11f157fe050b4711bc36591d51683979", + "model_id": "19656545491b4ae4b239bb7773341210", "version_major": 2, "version_minor": 0 }, @@ -396,7 +411,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7229559456c54c2bbf4404043b525f6a", + "model_id": "54a23a3f33054741981ad75230221b54", "version_major": 2, "version_minor": 0 }, @@ -410,7 +425,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "61ad98218196419bb69fbe77dfe83718", + "model_id": "6ec35ea4ab2244748e2c6fc2d1b280d8", "version_major": 2, "version_minor": 0 }, @@ -421,289 +436,12 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m >>> [DBG] partition_files: before: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __path: [[\"doggos-dataset/train/basset/basset_10028.jpg\",\"doggos-dataset/train/basset/basset_10054.jpg\",\"doggos-dataset/train/basset/basset_10072.jpg\",\"doggos-dataset/train/basset/basset_10095.jpg\",\"doggos-dataset/train/basset/basset_10110.jpg\",...,\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_889.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9618.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_962.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_967.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9739.jpg\"]]\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __file_size: [[56919,36417,21093,23721,12511,...,19267,43746,29862,37592,32578]]\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m >>> [DBG] partition_files: after: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __path: [[\"doggos-dataset/train/collie/collie_873.jpg\",\"doggos-dataset/train/chow/chow_6164.jpg\",\"doggos-dataset/train/great_dane/great_dane_22413.jpg\",\"doggos-dataset/train/bull_mastiff/bull_mastiff_3641.jpg\",\"doggos-dataset/train/pug/pug_2777.jpg\",...,\"doggos-dataset/train/saint_bernard/saint_bernard_7016.jpg\",\"doggos-dataset/train/boxer/boxer_3258.jpg\",\"doggos-dataset/train/german_shepherd/german_shepherd_1451.jpg\",\"doggos-dataset/train/italian_greyhound/italian_greyhound_722.jpg\",\"doggos-dataset/train/dingo/dingo_1228.jpg\"]]\n", - "\u001b[36m(ListFiles pid=3813, ip=10.0.153.142)\u001b[0m __file_size: [[12220,20577,60063,22426,18320,...,29927,12190,49104,63901,22386]]\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:27:56,241\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:27:56,242\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=1]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ff7d99b9a60e4fd49c26a0967f0a75cb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(_MapWorker pid=5046, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3ef5a5062dd1466e811f49b41e0378e0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a79a45c863504cf3a927e045c69c497b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2cec202eb5024b27a1ff86497e616b46", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2f618f46ff6448c38b5219a43705d11b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5db5f471220c4c02abae208f5a9f307f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(drop_columns) 5: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f444d3d0896f44b087478c6d983df44f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- limit=1 6: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: before: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m __path: string\u001b[32m [repeated 2x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m __file_size: [[36177,23609,26989,23153,12625,...,16142,30551,23825,76180,51123]]\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m ----\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m __path: [[\"doggos-dataset/train/bloodhound/bloodhound_8518.jpg\",\"doggos-dataset/train/eskimo_dog/eskimo_dog_3946.jpg\",\"doggos-dataset/train/toy_poodle/toy_poodle_8951.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_2223.jpg\",\"doggos-dataset/train/doberman/doberman_4013.jpg\",...,\"doggos-dataset/train/pomeranian/pomeranian_6208.jpg\",\"doggos-dataset/train/great_dane/great_dane_33047.jpg\",\"doggos-dataset/train/german_shepherd/german_shepherd_16014.jpg\",\"doggos-dataset/train/french_bulldog/french_bulldog_571.jpg\",\"doggos-dataset/train/labrador_retriever/labrador_retriever_8242.jpg\"]]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(ListFiles pid=20803, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: after: pyarrow.Table\n" + "2025-06-23 14:27:17,996\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_65_0 execution finished in 7.38 seconds\n" ] - }, - { - "data": { - "text/plain": [ - "[{'path': 'doggos-dataset/train/bull_mastiff/bull_mastiff_2990.jpg',\n", - " 'class': 'bull_mastiff',\n", - " 'label': 31,\n", - " 'embedding': array([ 2.96250284e-02, 1.84831917e-01, -4.36195195e-01, -1.16633832e-01,\n", - " 1.68539539e-01, -5.36402464e-01, 1.98912546e-02, 2.06453040e-01,\n", - " 3.48448306e-02, 3.00380349e-01, -5.23912236e-02, -1.01421580e-01,\n", - " 2.53218114e-01, 1.93473831e-01, -4.80942428e-04, -1.59629315e-01,\n", - " 4.49332625e-01, -3.90984029e-01, -4.47450221e-01, -5.69370985e-02,\n", - " -9.09840584e-01, -3.40499207e-02, -1.65381983e-01, -3.06253433e-02,\n", - " -1.22489721e-01, -8.06758553e-02, 8.20637792e-02, -2.05733925e-01,\n", - " -4.27418947e-02, 2.88848668e-01, -2.05624640e-01, 4.98024315e-01,\n", - 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However, Ray Data does support performant joins, filters, aggregations, etc., for the more structure data processing your workloads may need." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    Store often, save compute \n", - "\n", - "Store the preprocessed data into shared cloud storage to:\n", - "- save a record of what this preprocessed data looks like\n", - "- avoid triggering the entire preprocessing for each batch the model processes\n", - "- avoid [`materialize`](https://docs.ray.io/en/latest/data/api/doc/ray.data.Dataset.materialize.html) of the preprocessed data because you shouldn't force large data to fit in memory" - ] - }, { "cell_type": "code", "execution_count": null, @@ -754,14 +479,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:28:15,900\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:28:15,901\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-06-23 14:19:45,048\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_40_0\n", + "2025-06-23 14:19:45,067\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_40_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:19:45,069\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_40_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d53906cff1144d0da3d363fd92d4eb0e", + "model_id": "a676da85e459434b82d231b8cf23a213", "version_major": 2, "version_minor": 0 }, @@ -776,13 +502,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=5032, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "2025-06-23 14:19:45,088\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "503b1b75d6684e10a4cc2411c79ec604", + "model_id": "f3e0d36a35444d60b6234498fa910777", "version_major": 2, "version_minor": 0 }, @@ -796,7 +522,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2e003c20484441aaa0112f26c52ee5b1", + "model_id": "befd7f324d954c7f8ca324b50d807239", "version_major": 2, "version_minor": 0 }, @@ -810,12 +536,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "49337b465e12449099bf68198ddb6d88", + "model_id": "39a445c091c5457ea4bfb31a88b9215b", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" + "- Map(add_class)->Map(convert_to_label) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -824,12 +550,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4b1a2a4969b74f829621509815eab82d", + "model_id": "dd118260e28a42e0a4325a8f5036bc85", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -838,7 +564,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5a30f731d6d3459d8f92c80c97be7da6", + "model_id": "a49e0bbbbf0e424da8b3a514885c0148", "version_major": 2, "version_minor": 0 }, @@ -849,37 +575,23 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: before: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __path: [[\"doggos-dataset/train/basset/basset_10028.jpg\",\"doggos-dataset/train/basset/basset_10054.jpg\",\"doggos-dataset/train/basset/basset_10072.jpg\",\"doggos-dataset/train/basset/basset_10095.jpg\",\"doggos-dataset/train/basset/basset_10110.jpg\",...,\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_889.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9618.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_962.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_967.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9739.jpg\"]]\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __file_size: [[56919,36417,21093,23721,12511,...,19267,43746,29862,37592,32578]]\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: after: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __path: [[\"doggos-dataset/train/miniature_schnauzer/miniature_schnauzer_1287.jpg\",\"doggos-dataset/train/malamute/malamute_12294.jpg\",\"doggos-dataset/train/german_shepherd/german_shepherd_17240.jpg\",\"doggos-dataset/train/bull_mastiff/bull_mastiff_3793.jpg\",\"doggos-dataset/train/toy_poodle/toy_poodle_1077.jpg\",...,\"doggos-dataset/train/great_dane/great_dane_2009.jpg\",\"doggos-dataset/train/shih_tzu/shih_tzu_6106.jpg\",\"doggos-dataset/train/doberman/doberman_8834.jpg\",\"doggos-dataset/train/saint_bernard/saint_bernard_10215.jpg\",\"doggos-dataset/train/toy_poodle/toy_poodle_2883.jpg\"]]\n", - "\u001b[36m(ListFiles pid=20806, ip=10.0.188.182)\u001b[0m __file_size: [[43906,30606,51639,25912,17992,...,22982,70605,63651,26717,22505]]\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:28:31,996\tINFO dataset.py:4178 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", - "2025-05-29 17:28:32,022\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:28:32,023\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "\u001b[36m(_MapWorker pid=18628, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-06-23 14:19:57,926\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", + "2025-06-23 14:19:58,259\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_40_0 execution finished in 13.19 seconds\n", + "2025-06-23 14:19:58,573\tINFO dataset.py:4603 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", + "2025-06-23 14:19:58,584\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_43_0\n", + "2025-06-23 14:19:58,602\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_43_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:19:58,603\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_43_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e9e96b341a8c4602aeabbacf562bf8b8", + "model_id": "8cac399a609346a89cab141cb4bd91af", "version_major": 2, "version_minor": 0 }, @@ -894,13 +606,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=17181, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 4x across cluster]\u001b[0m\n" + "2025-06-23 14:19:58,620\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "04cefeec4d46433a9a8e9239b6f3d26e", + "model_id": "231149ef4ba34ab9bb7c0346956bfb21", "version_major": 2, "version_minor": 0 }, @@ -914,7 +626,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5470c35e5ed04171a8d49240e1df716d", + "model_id": "50bcce7953b944eca37c79f5c024c982", "version_major": 2, "version_minor": 0 }, @@ -928,12 +640,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "26bfecdbc444451cbeeee92648007bc5", + "model_id": "82da80edde0546d5935e0426960a904a", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" + "- Map(add_class)->Map(convert_to_label) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -942,12 +654,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e4b1ae21f18945619160a21fbd7e8f9e", + "model_id": "1ca5f7798fd744e99513b5cdfbf144f4", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -956,7 +668,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ed2742be10bf44c8bbdb79a0324181c7", + "model_id": "5b1f7618f9e94098a64c33bf49f4d12c", "version_major": 2, "version_minor": 0 }, @@ -971,7 +683,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:28:43,840\tINFO dataset.py:4178 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" + "\u001b[36m(_MapWorker pid=33082, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 4x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "2025-06-23 14:20:07,331\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", + "2025-06-23 14:20:07,854\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=2, restarting=0, pending=0)\n", + "2025-06-23 14:20:08,323\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_43_0 execution finished in 9.72 seconds\n", + "2025-06-23 14:20:08,372\tINFO dataset.py:4603 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" ] } ], @@ -986,6 +702,18 @@ "val_ds.write_parquet(preprocessed_val_path)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    Store often, save compute \n", + "\n", + "Store the preprocessed data into shared cloud storage to:\n", + "- save a record of what this preprocessed data looks like\n", + "- avoid triggering the entire preprocessing for each batch the model processes\n", + "- avoid [`materialize`](https://docs.ray.io/en/latest/data/api/doc/ray.data.Dataset.materialize.html) of the preprocessed data because you shouldn't force large data to fit in memory" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -997,7 +725,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Define the model--a simple two layer neural net with Softmax layer to predict class probabilities. Notice that it's all just base PyTorch and nothing else." + "Define the model -- a simple two layer neural net with Softmax layer to predict class probabilities. Notice that it's all just base PyTorch and nothing else." ] }, { @@ -1022,13 +750,13 @@ "class ClassificationModel(torch.nn.Module):\n", " def __init__(self, embedding_dim, hidden_dim, dropout_p, num_classes):\n", " super().__init__()\n", - " # Hyperparameters.\n", + " # Hyperparameters\n", " self.embedding_dim = embedding_dim\n", " self.hidden_dim = hidden_dim\n", " self.dropout_p = dropout_p\n", " self.num_classes = num_classes\n", "\n", - " # Define layers.\n", + " # Define layers\n", " self.fc1 = nn.Linear(embedding_dim, hidden_dim)\n", " self.batch_norm = nn.BatchNorm1d(hidden_dim)\n", " self.relu = nn.ReLU()\n", @@ -1156,14 +884,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:28:44,684\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:28:44,685\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" + "2025-06-23 14:27:26,458\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_72_0\n", + "2025-06-23 14:27:26,469\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_72_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:27:26,470\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_72_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e3a1f33944534daa9a8f91f35f0fc219", + "model_id": "f7d09fbef089477397fd9c9745974185", "version_major": 2, "version_minor": 0 }, @@ -1178,13 +907,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=18764, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "2025-06-23 14:27:26,489\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e25f0afa45e542a99330818d1ca9fa7f", + "model_id": "ae6a71a193b94308be98fe3bb49e830e", "version_major": 2, "version_minor": 0 }, @@ -1198,7 +927,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "841db49b81f848e09af429840c42cd71", + "model_id": "23fbb838b4f4413188a21f963216d9b3", "version_major": 2, "version_minor": 0 }, @@ -1212,12 +941,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "357b73ae01144d5abec97a95f077117e", + "model_id": "505daeea69ac49f3b0eb712b855f4dbd", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" + "- Map(add_class)->Map(convert_to_label) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1226,12 +955,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f03438fca37944d6954e74fcfb58af00", + "model_id": "9acc85ac1e8e44a3b672e6bd0bb38995", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1240,7 +969,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "97ef130d76784ce589f149795778a857", + "model_id": "620184f23bf74c1c9af7475e1bd291e4", "version_major": 2, "version_minor": 0 }, @@ -1254,7 +983,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3104b8f0dd344b788b2f7d57f25c2170", + "model_id": "939b699564104c0b8048c3fe78a235bc", "version_major": 2, "version_minor": 0 }, @@ -1265,48 +994,39 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: before: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __path: [[\"doggos-dataset/train/basset/basset_10028.jpg\",\"doggos-dataset/train/basset/basset_10054.jpg\",\"doggos-dataset/train/basset/basset_10072.jpg\",\"doggos-dataset/train/basset/basset_10095.jpg\",\"doggos-dataset/train/basset/basset_10110.jpg\",...,\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_889.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9618.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_962.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_967.jpg\",\"doggos-dataset/train/yorkshire_terrier/yorkshire_terrier_9739.jpg\"]]\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __file_size: [[56919,36417,21093,23721,12511,...,19267,43746,29862,37592,32578]]\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m >>> [DBG] partition_files: after: pyarrow.Table\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __path: string\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __file_size: int64\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m ----\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __path: [[\"doggos-dataset/train/great_dane/great_dane_1449.jpg\",\"doggos-dataset/train/toy_poodle/toy_poodle_1063.jpg\",\"doggos-dataset/train/malamute/malamute_6508.jpg\",\"doggos-dataset/train/cocker_spaniel/cocker_spaniel_12238.jpg\",\"doggos-dataset/train/siberian_husky/siberian_husky_14283.jpg\",...,\"doggos-dataset/train/golden_retriever/golden_retriever_3073.jpg\",\"doggos-dataset/train/saint_bernard/saint_bernard_1717.jpg\",\"doggos-dataset/train/golden_retriever/golden_retriever_5453.jpg\",\"doggos-dataset/train/siberian_husky/siberian_husky_10047.jpg\",\"doggos-dataset/train/cocker_spaniel/cocker_spaniel_9495.jpg\"]]\n", - "\u001b[36m(ListFiles pid=20802, ip=10.0.188.182)\u001b[0m __file_size: [[29069,26986,31549,25414,24028,...,30150,43893,28905,55984,8928]]\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=18053, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-06-23 14:27:33,774\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_72_0 execution finished in 7.30 seconds\n", + "/tmp/ipykernel_18629/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", " tensor_batch[key] = torch.as_tensor(\n" ] }, { "data": { "text/plain": [ - "{'embedding': tensor([[-0.1340, 0.0319, 0.0136, ..., 0.4513, -0.0579, 0.4205],\n", - " [ 0.0622, 0.0628, -0.1967, ..., 0.3679, -0.1252, 0.4687],\n", - " [-0.0162, 0.0074, -0.1264, ..., 1.3786, 0.2223, 0.1236]]),\n", - " 'label': tensor([14, 1, 34])}" + "{'embedding': tensor([[-0.1921, 0.1182, -0.1963, ..., 0.7892, -0.2841, -0.0829],\n", + " [-0.0389, -0.1284, -0.5749, ..., 0.4360, 0.0745, -0.1555],\n", + " [-0.1139, 0.1539, -0.1519, ..., 0.8438, 0.3064, -0.1918]]),\n", + " 'label': tensor([22, 11, 33])}" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +35s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" + ] } ], "source": [ - "# Sample batch.\n", + "# Sample batch\n", "sample_batch = train_ds.take_batch(batch_size=3)\n", "collate_fn(batch=sample_batch)" ] @@ -1329,7 +1049,17 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +57m1s)\u001b[0m [autoscaler] Downscaling node i-03a133888407b8cf8 (node IP: 10.0.103.152) due to node idle termination.\n", + "\u001b[36m(autoscaler +57m1s)\u001b[0m [autoscaler] Downscaling node i-06023e83fb012b7ae (node IP: 10.0.90.122) due to node idle termination.\n", + "\u001b[36m(autoscaler +57m6s)\u001b[0m [autoscaler] Cluster resized to {56 CPU, 6 GPU}.\n" + ] + } + ], "source": [ "import shutil" ] @@ -1342,7 +1072,7 @@ "source": [ "model_registry = \"/mnt/cluster_storage/mlflow/doggos\"\n", "if os.path.isdir(model_registry):\n", - " shutil.rmtree(model_registry) # Clean up.\n", + " shutil.rmtree(model_registry) # clean up\n", "os.makedirs(model_registry, exist_ok=True)" ] }, @@ -1361,9 +1091,14 @@ "- experiment and model parameters\n", "- compute scaling configuration\n", "- forward pass for batches of training and validation data\n", - "- train loop for each epoch of data and checkpointing\n", - "\n", - "" + "- train loop for each epoch of data and checkpointing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" ] }, { @@ -1394,8 +1129,8 @@ "metadata": {}, "outputs": [], "source": [ - "# Scaling config.\n", - "num_workers = 2\n", + "# Scaling config\n", + "num_workers = 4\n", "scaling_config = ray.train.ScalingConfig(\n", " num_workers=num_workers,\n", " use_gpu=True,\n", @@ -1540,7 +1275,7 @@ "source": [ "
    Minimal change to your training code \n", "\n", - "Notice that there isn't much new Ray Train code on top of the base PyTorch code. You specified how you want to scale out the training workload, load the Ray datasets, and then checkpoint on the main worker node and that's it. See these guides ([PyTorch](https://docs.ray.io/en/latest/train/getting-started-pytorch.html), [PyTorch Lightning](https://docs.ray.io/en/latest/train/getting-started-pytorch-lightning.html), [Hugging Face Transformers](https://docs.ray.io/en/latest/train/getting-started-transformers.html)) to see the minimal delta code needed to distribute your training workloads. See this extensive list of [Ray Train user guides](https://docs.ray.io/en/latest/train/user-guides.html)." + "Notice that there isn't much new Ray Train code on top of the base PyTorch code. You specified how you want to scale out the training workload, load the Ray datasets, and then checkpoint on the main worker node and that's it. See these guides ([PyTorch](https://docs.ray.io/en/latest/train/getting-started-pytorch.html), [PyTorch Lightning](https://docs.ray.io/en/latest/train/getting-started-pytorch-lightning.html), [Hugging Face Transformers](https://docs.ray.io/en/latest/train/getting-started-transformers.html)) to see the minimal change in code needed to distribute your training workloads. See this extensive list of [Ray Train user guides](https://docs.ray.io/en/latest/train/user-guides.html)." ] }, { @@ -1571,38 +1306,48 @@ ")" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Train.\n", + "results = trainer.fit()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ray Train" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    Ray Train \n", - "\n", "- automatically handles **multi-node, multi-GPU** setup with no manual SSH setup or hostfile configs. \n", "- define **per-worker fractional resource requirements**, for example, 2 CPUs and 0.5 GPU per worker.\n", "- run on **heterogeneous machines** and scale flexibly, for example, CPU for preprocessing and GPU for training. \n", "- built-in **fault tolerance** with retry of failed workers and continue from last checkpoint.\n", "- supports Data Parallel, Model Parallel, Parameter Server, and even custom strategies.\n", "- [Ray Compiled graphs](https://docs.ray.io/en/latest/ray-core/compiled-graph/ray-compiled-graph.html) allow you to even define different parallelism for jointly optimizing multiple models like Megatron, DeepSpeed, etc., or only allow for one global setting.\n", - "- You can also use Torch DDP, FSPD, DeepSpeed, etc., under the hood.\n", - "\n", - "[RayTurbo Train](https://docs.anyscale.com/rayturbo/rayturbo-train) offers even more improvement to the price-performance ratio, performance monitoring and more:\n", + "- You can also use Torch DDP, FSPD, DeepSpeed, etc., under the hood." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "🔥 [RayTurbo Train](https://docs.anyscale.com/rayturbo/rayturbo-train) offers even more improvement to the price-performance ratio, performance monitoring and more:\n", "- **elastic training** to scale to a dynamic number of workers, continue training on fewer resources, even on spot instances.\n", "- **purpose-built dashboard** designed to streamline the debugging of Ray Train workloads:\n", " - Monitoring: View the status of training runs and train workers.\n", " - Metrics: See insights on training throughput and training system operation time.\n", " - Profiling: Investigate bottlenecks, hangs, or errors from individual training worker processes.\n", "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Train.\n", - "results = trainer.fit()" + "" ] }, { @@ -1612,16 +1357,16 @@ "You can view experiment metrics and model artifacts in the model registry. You're using OSS MLflow so you can run the server by pointing to the model registry location:\n", "\n", "```bash\n", - "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/user_storage/mlflow/doggos\n", + "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/cluster_storage/mlflow/doggos\n", "```\n", "\n", "You can view the dashboard by going to the **Overview tab** > **Open Ports**. \n", "\n", - "\n", + "\n", "\n", "You also have the preceding Ray Dashboard and Train workload specific dashboards.\n", "\n", - "\n" + "\n" ] }, { @@ -1632,31 +1377,31 @@ { "data": { "text/plain": [ - "run_id c74f338f00434316bd209763b9636ced\n", - "experiment_id 895161238195662889\n", + "run_id c65d5aba186c4ee58bf8188493cd047c\n", + "experiment_id 477478897635232497\n", "status FINISHED\n", - "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/8951...\n", - "start_time 2025-05-29 17:29:12.724000+00:00\n", - "end_time 2025-05-29 17:29:25.486000+00:00\n", + "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/4774...\n", + "start_time 2025-06-23 14:23:03.775000+00:00\n", + "end_time 2025-06-23 14:23:21.440000+00:00\n", + "metrics.train_loss 0.388298\n", "metrics.lr 0.001\n", - "metrics.train_loss 0.18294\n", - "metrics.val_loss 0.505507\n", - "params.lr 0.001\n", + "metrics.val_loss 0.664968\n", "params.batch_size 256\n", - "params.dropout_p 0.3\n", "params.num_epochs 20\n", - "params.embedding_dim 512\n", + "params.lr 0.001\n", "params.hidden_dim 256\n", - "params.num_classes 36\n", + "params.experiment_name doggos\n", + "params.dropout_p 0.3\n", + "params.embedding_dim 512\n", "params.lr_patience 3\n", - "params.class_to_label {'basset': 0, 'bloodhound': 1, 'pomeranian': 2...\n", + "params.class_to_label {'doberman': 0, 'collie': 1, 'dingo': 2, 'pome...\n", "params.lr_factor 0.8\n", - "params.experiment_name doggos\n", "params.model_registry /mnt/cluster_storage/mlflow/doggos\n", - "tags.mlflow.source.type LOCAL\n", - "tags.mlflow.user ray\n", + "params.num_classes 36\n", "tags.mlflow.source.name /home/ray/anaconda3/lib/python3.12/site-packag...\n", - "tags.mlflow.runName orderly-deer-47\n", + "tags.mlflow.user ray\n", + "tags.mlflow.source.type LOCAL\n", + "tags.mlflow.runName abrasive-newt-588\n", "Name: 0, dtype: object" ] }, @@ -1666,7 +1411,7 @@ } ], "source": [ - "# Sorted runs.\n", + "# Sorted runs\n", "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", "sorted_runs = mlflow.search_runs(\n", " experiment_names=[experiment_name], \n", @@ -1675,6 +1420,13 @@ "best_run" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Production Job" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1682,7 +1434,7 @@ "You can easily wrap the training workload as a production grade [Anyscale Job](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)).\n", "\n", "**Note**: \n", - "- This tutorial uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", + "- This Job uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", "- You can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", "- When you don't specify compute while launching from a workspace, this configuration defaults to the compute configuration of the workspace." ] @@ -1695,6 +1447,7 @@ "# Production batch job.\n", "anyscale job submit --name=train-doggos-model \\\n", " --containerfile=\"/home/ray/default/containerfile\" \\\n", + " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", " --working-dir=\"/home/ray/default\" \\\n", " --exclude=\"\" \\\n", " --max-retries=0 \\\n", @@ -1706,7 +1459,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "" + "" ] }, { @@ -1754,7 +1507,10 @@ " self.model.to(device)\n", " predicted_probabilities = self.model.predict_probabilities(collate_fn(batch))\n", " batch[\"probabilities\"] = [\n", - " {self.preprocessor.label_to_class[i]: prob for i, prob in enumerate(probabilities)}\n", + " {\n", + " self.preprocessor.label_to_class[i]: float(prob)\n", + " for i, prob in enumerate(probabilities)\n", + " }\n", " for probabilities in predicted_probabilities\n", " ]\n", " return batch\n", @@ -1794,14 +1550,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:30:05,501\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:30:05,502\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" + "2025-06-23 14:25:17,471\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_56_0\n", + "2025-06-23 14:25:17,483\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_56_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:25:17,484\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_56_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "024577fc91c24c319b7f851d5ed13a89", + "model_id": "9b9a801dfa75419b9f307a00a3397677", "version_major": 2, "version_minor": 0 }, @@ -1816,13 +1573,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=23368, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "2025-06-23 14:25:17,504\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f6e61c791d0b43c9b33389e7ce886421", + "model_id": "9354ed2fc7644cb7bacb97aa620d76fa", "version_major": 2, "version_minor": 0 }, @@ -1836,7 +1593,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d40cfc5411b544cca860a8ab80dbfc64", + "model_id": "1980c5b233994a82b79c1b5853333de4", "version_major": 2, "version_minor": 0 }, @@ -1850,12 +1607,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a5629da8b54f4fb3a765323e83b5e832", + "model_id": "a78cd2dd17df4f72b3aa28f40e36a04b", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" + "- Map(add_class)->Map(convert_to_label) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1864,12 +1621,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ca31ff48749744ffa6db6f226935a499", + "model_id": "9a240953f8a6401cb9e060439e3c7432", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -1878,7 +1635,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "90004f6896a44c9eb440d62dfd789d67", + "model_id": "c1ead75a9a74448fb96776643b93b769", "version_major": 2, "version_minor": 0 }, @@ -1892,7 +1649,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fa07f95ae3d64bb6b04a2d6a18472411", + "model_id": "17d189a8c3534c7fbea57d6b4680337c", "version_major": 2, "version_minor": 0 }, @@ -1906,7 +1663,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c493fe1c9f3e46d2999e2ed7e5c5be62", + "model_id": "969c3c3cc23946238bae3b1682aa2ade", "version_major": 2, "version_minor": 0 }, @@ -1917,21 +1674,14 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +2m54s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", - "\u001b[36m(autoscaler +2m54s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Attempting to add 1 node(s) to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +2m54s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Launched 1 instances.\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(MapBatches(TorchPredictor) pid=24018, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=23367, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n" + "\u001b[36m(_MapWorker pid=41895, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=7131, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=6304, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "2025-06-23 14:25:31,572\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_56_0 execution finished in 14.08 seconds\n" ] }, { @@ -1939,137 +1689,137 @@ "text/plain": [ "[{'path': 'doggos-dataset/test/basset/basset_10288.jpg',\n", " 'class': 'basset',\n", - " 'label': 0,\n", - " 'embedding': array([-1.04914226e-01, -2.44790107e-01, -9.95984226e-02, 1.35369539e-01,\n", - " -5.52583262e-02, -5.80726117e-02, 1.91796213e-01, 1.56358749e-01,\n", - " -6.07913554e-01, 2.08769724e-01, -3.80894728e-02, -1.11314341e-01,\n", - " -1.96144953e-01, -6.14985377e-02, 5.18052638e-01, 2.08481997e-01,\n", - " 1.18680000e+00, 2.00228184e-01, -2.38505781e-01, 7.44115859e-02,\n", - " -1.17920645e-01, 1.65981501e-02, 4.06986445e-01, 1.73044205e-02,\n", - " -7.19357654e-02, -2.49894172e-01, 5.69961220e-02, -2.07781866e-02,\n", - " -2.98084021e-01, -1.49074584e-01, 2.44871676e-02, 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-3.52486148e-02, 4.28467467e-02, -5.25768399e-01,\n", + " 1.63442969e-01, -2.11263120e-01, -6.78404570e-02, -2.00107336e-01,\n", + " 4.71601546e-01, -4.66121018e-01, 2.91595191e-01, -5.46462014e-02,\n", + " -5.07597744e-01, 6.30303860e-01, -7.32594371e-01, 1.00498527e-01,\n", + " -7.07668364e-01, -8.52217302e-02, -5.60935438e-02, -1.76870823e-03,\n", + " 3.38252485e-01, -1.68113291e-01, -1.64995581e-01, 1.30709872e-01,\n", + " -9.02270138e-01, 1.71258092e-01, -5.64923435e-02, -2.03939527e-01],\n", " dtype=float32),\n", - " 'prediction': 0}]" + " 'prediction': 26}]" ] }, "execution_count": null, @@ -2081,7 +1831,6 @@ "# y_pred (batch inference).\n", "pred_ds = test_ds.map_batches(\n", " predictor,\n", - " fn_kwargs={\"device\": \"cuda\"},\n", " concurrency=4,\n", " batch_size=64,\n", " num_gpus=1,\n", @@ -2118,14 +1867,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:30:31,352\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "2025-05-29 17:30:31,353\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-06-23 14:25:31,814\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_59_0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-06-23 14:25:31,828\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_59_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", + "2025-06-23 14:25:31,829\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_59_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c1da670c8cb44291ac36977e111f1fe5", + "model_id": "419085884b1849758482929023d6eb50", "version_major": 2, "version_minor": 0 }, @@ -2140,13 +1896,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=24021, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "2025-06-23 14:25:31,856\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b9039ac18ba64a5793c5cbd367858a07", + "model_id": "fbde64d675d4412597d9ace64aa3ac38", "version_major": 2, "version_minor": 0 }, @@ -2160,7 +1916,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "461122f7e1fb4956b0dfb2b0046f5d8c", + "model_id": "8325afb46d644ecc9027b7f152341021", "version_major": 2, "version_minor": 0 }, @@ -2174,12 +1930,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7464589fe42a4e49b6eed34eabed6943", + "model_id": "e6a774a2b1f84b4086e750dc8ac348ed", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- Map(add_class)->Map(Preprocessor.convert_to_label) 3: 0.00 row [00:00, ? row/s]" + "- Map(add_class)->Map(convert_to_label) 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -2188,12 +1944,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "346fde2be402494a86044e2b03055102", + "model_id": "b4770e750930416cbe1629bbf698f4a2", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- MapBatches(EmbeddingGenerator) 4: 0.00 row [00:00, ? row/s]" + "- MapBatches(EmbedImages) 4: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -2202,7 +1958,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "46bf49fb058f4794b3e4271b27dea96d", + "model_id": "89ffb7899dcc47a3b36daa13da9cfe4d", "version_major": 2, "version_minor": 0 }, @@ -2216,7 +1972,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "acb8ce0475f541e7ad55bc02f13ba63c", + "model_id": "85af9e24a5fa41189b94044860db6ee7", "version_major": 2, "version_minor": 0 }, @@ -2230,7 +1986,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "df7edefe968e43e18e55b3be79dd95a8", + "model_id": "5d9111eece5c4d9381953e84c53de7b0", "version_major": 2, "version_minor": 0 }, @@ -2244,7 +2000,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5ed05abb69304844af009a78ee551c50", + "model_id": "1242eb6344e2407b9c9ca909ffc59816", "version_major": 2, "version_minor": 0 }, @@ -2258,7 +2014,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ea3ead4416f142738ceaf2131644cf30", + "model_id": "02d595ac51494d12bb2428a788d73b7f", "version_major": 2, "version_minor": 0 }, @@ -2272,7 +2028,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "636d480c732a44a2a88cb995d08a6e81", + "model_id": "2f749b365c194b4a8da80f1c7679a040", "version_major": 2, "version_minor": 0 }, @@ -2286,7 +2042,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d236268ac1004cf8af090a35edc9ffb6", + "model_id": "cd5adf33abcd4a6f86a3411387dc62e6", "version_major": 2, "version_minor": 0 }, @@ -2300,7 +2056,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2f72f8cb23f94519b577300d0e60e769", + "model_id": "6efdb6f918a24510b0d69e060da5e2de", "version_major": 2, "version_minor": 0 }, @@ -2315,36 +2071,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(MapBatches(TorchPredictor) pid=24063, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=24015, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=31408, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=31754, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +3m34s)\u001b[0m [autoscaler] Cluster upscaled to {160 CPU, 13 GPU}.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-05-29 17:31:42,303\tWARNING issue_detector_manager.py:39 -- A task for operator MapBatches(TorchPredictor) with task index 12 has been hanging for >30.085022853999817s.\n", - "2025-05-29 17:31:42,304\tWARNING issue_detector_manager.py:39 -- A task for operator MapBatches(TorchPredictor) with task index 13 has been hanging for >30.08502354700022s.\n", - "2025-05-29 17:31:42,305\tWARNING issue_detector_manager.py:39 -- A task for operator MapBatches(TorchPredictor) with task index 14 has been hanging for >30.085023250000177s.\n", - "2025-05-29 17:31:42,305\tWARNING issue_detector_manager.py:39 -- A task for operator MapBatches(TorchPredictor) with task index 15 has been hanging for >30.085023025999817s.\n", - "2025-05-29 17:31:42,306\tWARNING issue_detector_manager.py:41 -- To disable issue detection, run DataContext.get_current().issue_detectors_config.detectors = [].\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=3391, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=32212, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=32466, ip=10.0.153.142)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=4236, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=4496, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=4905, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5108, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5521, ip=10.0.179.42)\u001b[0m /tmp/ipykernel_108978/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 5x across cluster]\u001b[0m\n" + "\u001b[36m(_MapWorker pid=7186, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-06-23 14:25:43,855\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=7259, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=14469, ip=10.0.103.152)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "2025-06-23 14:25:44,370\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=2, restarting=0, pending=0)\n", + "2025-06-23 14:25:44,899\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=1, restarting=0, pending=0)\n", + "2025-06-23 14:25:45,419\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=0, restarting=0, pending=0)\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=7393, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=46643, ip=10.0.102.235)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=15409, ip=10.0.69.70)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=16788, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=15462, ip=10.0.67.42)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=47017, ip=10.0.102.235)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=15584, ip=10.0.69.70)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=17097, ip=10.0.103.152)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=17183, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "2025-06-23 14:26:35,251\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_59_0 execution finished in 63.42 seconds\n" ] } ], @@ -2380,19 +2123,6 @@ "F1: 0.84\n", "Accuracy: 0.98\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +7m44s)\u001b[0m [autoscaler] Downscaling node i-08777c6136bc406a6 (node IP: 10.0.179.42) due to node idle termination.\n", - "\u001b[36m(autoscaler +7m44s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 9 GPU}.\n", - "\u001b[36m(autoscaler +34m54s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Attempting to add 1 node(s) to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +34m59s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Launched 1 instances.\n", - "\u001b[36m(autoscaler +35m44s)\u001b[0m [autoscaler] Cluster upscaled to {160 CPU, 13 GPU}.\n", - "\u001b[36m(autoscaler +39m39s)\u001b[0m [autoscaler] Downscaling node i-0166a13ff9c07f0b4 (node IP: 10.0.158.79) due to node idle termination.\n", - "\u001b[36m(autoscaler +39m39s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 9 GPU}.\n" - ] } ], "source": [ @@ -2401,6 +2131,13 @@ "print(f\"F1: {f1:.2f}\")\n", "print(f\"Accuracy: {accuracy:.2f}\")" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**🚨 Note**: Reset this notebook using the **\"🔄 Restart\"** button location at the notebook's menu bar. This way we can free up all the variables, utils, etc. used in this notebook." + ] } ], "metadata": { @@ -2419,7 +2156,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.12.11" } }, "nbformat": 4, diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb index f32cdad750fc..587a257dd3a5 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb @@ -9,40 +9,26 @@ "
    \n", " \n", "\n", - " \n", + " \n", "
    \n", "\n", - "This tutorial launches an online service that:\n", - "- deploys model artifacts to generate predictions\n", - "- deploys custom logic, for example, fetch similar images and filter by top k predictions\n", - "- autoscale based on incoming traffic\n", - "- cover observability and debugging around a service" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    \n", - "\n", - "[Ray Serve](https://docs.ray.io/en/latest/serve/index.html) is a highly scalable and flexible model serving library for building online inference APIs that allows you to:\n", - "- Wrap models and business logic as separate [serve deployments](https://docs.ray.io/en/latest/serve/key-concepts.html#deployment) and [connect](https://docs.ray.io/en/latest/serve/model_composition.html) them together (pipeline, ensemble, etc.)\n", - "- Avoid one large service that's network and compute bounded and an inefficient use of resources.\n", - "- Utilize fractional heterogeneous [resources](https://docs.ray.io/en/latest/serve/resource-allocation.html), which **isn't possible** with SageMaker, Vertex, KServe, etc., and horizontally scale with`num_replicas`.\n", - "- [autoscale](https://docs.ray.io/en/latest/serve/autoscaling-guide.html) up and down based on traffic.\n", - "- Integrate with [FastAPI and HTTP](https://docs.ray.io/en/latest/serve/http-guide.html).\n", - "- Set up a [gRPC service](https://docs.ray.io/en/latest/serve/advanced-guides/grpc-guide.html#set-up-a-grpc-service) to build distributed systems and microservices.\n", - "- Enable [dynamic batching](https://docs.ray.io/en/latest/serve/advanced-guides/dyn-req-batch.html) based on batch size, time, etc.\n", - "- Access a suite of [utilities for serving LLMs](https://docs.ray.io/en/latest/serve/llm/serving-llms.html) that are inference-engine agnostic and have batteries-included support for LLM-specific features such as multi-LoRA support\n", - "\n", - "" + "This tutorial launches an online service that deploys the trained model to generate predictions and autoscales based on incoming traffic." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[92mSuccessfully registered `matplotlib, torch` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_eys8cskj5aivghbf773dp2vmcd?workspace-tab=dependencies\u001b[0m\n" + ] + } + ], "source": [ "%%bash\n", "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.0\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" @@ -67,18 +53,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-05-29 17:39:48,311\tINFO worker.py:1660 -- Connecting to existing Ray cluster at address: 10.0.56.137:6379...\n", - "2025-05-29 17:39:48,322\tINFO worker.py:1843 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-05-29 17:39:48,414\tINFO packaging.py:575 -- Creating a file package for local module '../'.\n", - "2025-05-29 17:39:48,476\tWARNING packaging.py:417 -- File /home/ray/default/foundational-ray-app/notebooks/../.git/objects/pack/pack-b8b7f3cf34764341ace726e9197e18f11b5aaedc.pack is very large (15.84MiB). Consider adding this file to the 'excludes' list to skip uploading it: `ray.init(..., runtime_env={'excludes': ['/home/ray/default/foundational-ray-app/notebooks/../.git/objects/pack/pack-b8b7f3cf34764341ace726e9197e18f11b5aaedc.pack']})`\n", - "2025-05-29 17:39:48,540\tINFO packaging.py:367 -- Pushing file package 'gcs://_ray_pkg_f145abd4c54ca9ee.zip' (29.53MiB) to Ray cluster...\n", - "2025-05-29 17:39:48,670\tINFO packaging.py:380 -- Successfully pushed file package 'gcs://_ray_pkg_f145abd4c54ca9ee.zip'.\n" + "2025-06-23 20:03:54,080\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.61.28:6379...\n", + "2025-06-23 20:03:54,091\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-06-23 20:03:54,133\tINFO packaging.py:588 -- Creating a file package for local module '../'.\n", + "2025-06-23 20:03:54,190\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_60b8ab9607f9a287.zip' (12.99MiB) to Ray cluster...\n", + "2025-06-23 20:03:54,250\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_60b8ab9607f9a287.zip'.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "da53e8151bca49918984ec4447c1c26a", + "model_id": "aa33be7c5f98450283f661adb61a3c6b", "version_major": 2, "version_minor": 0 }, @@ -102,11 +87,11 @@ "
    Python version:3.12.93.12.11
    Ray version:2.44.12.47.1
    Dashboard:
    \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -119,7 +104,7 @@ "\n" ], "text/plain": [ - "RayContext(dashboard_url='session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com', python_version='3.12.9', ray_version='2.44.1', ray_commit='66b3699996151045a71991762f4f83ecc03f881e')" + "RayContext(dashboard_url='session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.47.1', ray_commit='e06f523c450fb1c99d8f347f8bfcc4085cc68b66')" ] }, "execution_count": null, @@ -156,8 +141,20 @@ "metadata": {}, "outputs": [], "source": [ - "from doggos.embed import EmbeddingGenerator, get_top_matches\n", + "import numpy as np\n", + "from PIL import Image\n", + "import torch\n", + "from transformers import CLIPModel, CLIPProcessor" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "from doggos.infer import TorchPredictor\n", + "from doggos.model import collate_fn\n", "from doggos.utils import url_to_array" ] }, @@ -184,87 +181,31 @@ "@serve.deployment(\n", " num_replicas=\"1\", \n", " ray_actor_options={\n", - " \"num_cpus\": 2, \n", " \"num_gpus\": 1, \n", " \"accelerator_type\": \"L4\",\n", " },\n", ")\n", "class ClassPredictor:\n", - " def __init__(self, artifacts_dir):\n", + " def __init__(self, model_id, artifacts_dir, device=\"cuda\"):\n", " \"\"\"Initialize the model.\"\"\"\n", + " # Embdding model\n", + " self.processor = CLIPProcessor.from_pretrained(model_id)\n", + " self.model = CLIPModel.from_pretrained(model_id)\n", + " self.model.to(device=device)\n", + " self.device = device\n", + "\n", + " # Trained classifier\n", " self.predictor = TorchPredictor.from_artifacts_dir(artifacts_dir=artifacts_dir)\n", " self.preprocessor = self.predictor.preprocessor\n", "\n", " def get_probabilities(self, url):\n", - " image = url_to_array(url=url)\n", - " ds = ray.data.from_items([{\"image\": image, \"url\": url}])\n", - " ds = self.preprocessor.transform(\n", - " ds=ds,\n", - " concurrency=1,\n", - " batch_size=1,\n", - " num_gpus=1,\n", - " )\n", - " ds = ds.map_batches(\n", - " self.predictor.predict_probabilities,\n", - " fn_kwargs={\"device\": \"cuda\"},\n", - " concurrency=1,\n", - " batch_size=1,\n", - " num_gpus=1,\n", - " )\n", - " probabilities = ds.take_all()[0][\"probabilities\"]\n", - " return probabilities" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Do the same for another deployment to use the input image, embed it, and then retrieve the top similar matches. However, it uses the top `k` predictions from the model as a filter, `class_filters`, for retrieving the similar images." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "@serve.deployment(\n", - " num_replicas=\"1\", \n", - " ray_actor_options={\n", - " \"num_cpus\": 2, \n", - " \"num_gpus\": 1, \n", - " \"accelerator_type\": \"L4\",\n", - " },\n", - ")\n", - "class EmbeddingSimilarity:\n", - " def __init__(self, embeddings_path):\n", - " self.embedding_generator = EmbeddingGenerator(model_id=\"openai/clip-vit-base-patch32\")\n", - " self.embeddings_ds = ray.data.read_parquet(embeddings_path) # use vector DB\n", - "\n", - " def get_top_matches(self, url, probabilities, k):\n", - " # Top k class predictions\n", - " sorted_probabilities = sorted(probabilities.items(), key=lambda x: x[1], reverse=True)\n", - " top_k = [item[0] for item in sorted_probabilities[0:k]]\n", - "\n", - " # Generate embedding.\n", - " image = url_to_array(url=url)\n", - " embedding = self.embedding_generator({\"image\": [image]})[\"embedding\"][0]\n", - "\n", - " # Filter for top matches.\n", - " top_matches = get_top_matches(\n", - " query_embedding=embedding,\n", - " embeddings_ds=self.embeddings_ds,\n", - " class_filters=top_k,\n", - " n=5,\n", - " )\n", - " return top_matches" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can combine all the service deployments into one application. Here the set up is a simple pipeline, where you pass the model's predictions to the embedding similarity service deployment." + " image = Image.fromarray(np.uint8(url_to_array(url=url))).convert(\"RGB\")\n", + " inputs = self.processor(images=[image], return_tensors=\"pt\", padding=True).to(self.device)\n", + " with torch.inference_mode():\n", + " embedding = self.model.get_image_features(**inputs).cpu().numpy()\n", + " outputs = self.predictor.predict_probabilities(\n", + " collate_fn({\"embedding\": embedding}))\n", + " return {\"probabilities\": outputs[\"probabilities\"][0]}" ] }, { @@ -275,7 +216,7 @@ "\n", "Ray Serve makes it easy to do [model composition](https://docs.ray.io/en/latest/serve/model_composition.html) where you can compose multiple deployments containing ML models or business logic into a single application. You can independently scale even fractional resources, and configure each of your deployments.\n", "\n", - "" + "" ] }, { @@ -305,26 +246,17 @@ "metadata": {}, "outputs": [], "source": [ - "@serve.deployment(num_replicas=\"1\", ray_actor_options={\"num_cpus\": 2})\n", + "@serve.deployment\n", "@serve.ingress(api)\n", "class Doggos:\n", - " def __init__(self, classifier, embedder):\n", + " def __init__(self, classifier):\n", " self.classifier = classifier\n", - " self.embedder = embedder\n", " \n", " @api.post(\"/predict/\")\n", " async def predict(self, request: Request):\n", " data = await request.json()\n", " probabilities = await self.classifier.get_probabilities.remote(url=data[\"url\"])\n", - " top_matches = await self.embedder.get_top_matches.remote(\n", - " url=data[\"url\"],\n", - " probabilities=probabilities,\n", - " k=data[\"k\"],\n", - " )\n", - " return {\n", - " \"probabilities\": probabilities, \n", - " \"top_matches\": top_matches,\n", - " }" + " return probabilities" ] }, { @@ -336,8 +268,7 @@ "# Model registry.\n", "model_registry = \"/mnt/cluster_storage/mlflow/doggos\"\n", "experiment_name = \"doggos\"\n", - "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", - "embeddings_path = os.path.join( \"/mnt/cluster_storage\", \"doggos/embeddings\")" + "mlflow.set_tracking_uri(f\"file:{model_registry}\")" ] }, { @@ -363,8 +294,11 @@ "source": [ "# Define app.\n", "app = Doggos.bind(\n", - " classifier=ClassPredictor.bind(artifacts_dir=artifacts_dir),\n", - " embedder=EmbeddingSimilarity.bind(embeddings_path=embeddings_path),\n", + " classifier=ClassPredictor.bind(\n", + " model_id=\"openai/clip-vit-base-patch32\",\n", + " artifacts_dir=artifacts_dir,\n", + " device=\"cuda\"\n", + " )\n", ")" ] }, @@ -377,26 +311,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(ProxyActor pid=113956)\u001b[0m INFO 2025-05-29 17:40:02,366 proxy 10.0.56.137 -- Proxy starting on node 433b62a87a85338338747478dd7513ad3aeaf6bc14e890709b747eec (HTTP port: 8000).\n", - "INFO 2025-05-29 17:40:02,478 serve 113749 -- Started Serve in namespace \"serve\".\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,504 controller 113895 -- Deploying new version of Deployment(name='ClassPredictor', app='default') (initial target replicas: 1).\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,505 controller 113895 -- Deploying new version of Deployment(name='EmbeddingSimilarity', app='default') (initial target replicas: 1).\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,506 controller 113895 -- Deploying new version of Deployment(name='Doggos', app='default') (initial target replicas: 1).\n", - "\u001b[36m(ProxyActor pid=113956)\u001b[0m INFO 2025-05-29 17:40:02,441 proxy 10.0.56.137 -- Got updated endpoints: {}.\n", - "\u001b[36m(ProxyActor pid=113956)\u001b[0m INFO 2025-05-29 17:40:02,509 proxy 10.0.56.137 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,611 controller 113895 -- Adding 1 replica to Deployment(name='ClassPredictor', app='default').\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,613 controller 113895 -- Adding 1 replica to Deployment(name='EmbeddingSimilarity', app='default').\n", - "\u001b[36m(ServeController pid=113895)\u001b[0m INFO 2025-05-29 17:40:02,615 controller 113895 -- Adding 1 replica to Deployment(name='Doggos', app='default').\n", - "\u001b[36m(ProxyActor pid=113956)\u001b[0m INFO 2025-05-29 17:40:02,533 proxy 10.0.56.137 -- Started .\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(ProxyActor pid=27365, ip=10.0.188.182)\u001b[0m INFO 2025-05-29 17:40:06,609 proxy 10.0.188.182 -- Proxy starting on node 83642d8a20226a0114da9be1953fe119a133bf448b1a4c2abfed80c3 (HTTP port: 8000).\n", - "\u001b[36m(ProxyActor pid=27365, ip=10.0.188.182)\u001b[0m INFO 2025-05-29 17:40:06,670 proxy 10.0.188.182 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", - "\u001b[36m(ProxyActor pid=27365, ip=10.0.188.182)\u001b[0m INFO 2025-05-29 17:40:06,692 proxy 10.0.188.182 -- Started .\n", - "\u001b[36m(ProxyActor pid=33803, ip=10.0.153.142)\u001b[0m INFO 2025-05-29 17:40:09,665 proxy 10.0.153.142 -- Proxy starting on node 8bcf6da3780835acf76bf498a98be8b9617ee718765d73f10de0f4a3 (HTTP port: 8000).\n", - "\u001b[36m(ProxyActor pid=33803, ip=10.0.153.142)\u001b[0m INFO 2025-05-29 17:40:09,719 proxy 10.0.153.142 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", - "\u001b[36m(ProxyActor pid=33803, ip=10.0.153.142)\u001b[0m INFO 2025-05-29 17:40:09,741 proxy 10.0.153.142 -- Started .\n", - "INFO 2025-05-29 17:40:10,613 serve 113749 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", - "INFO 2025-05-29 17:40:10,622 serve 113749 -- Started .\n" + "\u001b[36m(ProxyActor pid=75693)\u001b[0m INFO 2025-06-23 20:04:07,726 proxy 10.0.61.28 -- Proxy starting on node b4c1ef3393280e7df5c15725708ef231f52e1e31e050f75f5d32a41a (HTTP port: 8000).\n", + "\u001b[36m(ProxyActor pid=75693)\u001b[0m INFO 2025-06-23 20:04:07,794 proxy 10.0.61.28 -- Got updated endpoints: {}.\n", + "INFO 2025-06-23 20:04:07,815 serve 75456 -- Started Serve in namespace \"serve\".\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m INFO 2025-06-23 20:04:07,905 controller 75629 -- Deploying new version of Deployment(name='ClassPredictor', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m INFO 2025-06-23 20:04:07,907 controller 75629 -- Deploying new version of Deployment(name='Doggos', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ProxyActor pid=75693)\u001b[0m INFO 2025-06-23 20:04:07,910 proxy 10.0.61.28 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m INFO 2025-06-23 20:04:08,013 controller 75629 -- Adding 1 replica to Deployment(name='ClassPredictor', app='default').\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m INFO 2025-06-23 20:04:08,014 controller 75629 -- Adding 1 replica to Deployment(name='Doggos', app='default').\n", + "\u001b[36m(ProxyActor pid=75693)\u001b[0m INFO 2025-06-23 20:04:07,922 proxy 10.0.61.28 -- Started .\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m WARNING 2025-06-23 20:04:38,040 controller 75629 -- Deployment 'ClassPredictor' in application 'default' has 1 replicas that have taken more than 30s to be scheduled. This may be due to waiting for the cluster to auto-scale or for a runtime environment to be installed. Resources required for each replica: {\"CPU\": 1, \"GPU\": 1, \"accelerator_type:L4\": 0.001}, total resources available: {\"accelerator_type:L4\": 0.999, \"CPU\": 2.0}. Use `ray status` for more details.\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m WARNING 2025-06-23 20:04:38,041 controller 75629 -- Deployment 'Doggos' in application 'default' has 1 replicas that have taken more than 30s to be scheduled. This may be due to waiting for the cluster to auto-scale or for a runtime environment to be installed. Resources required for each replica: {\"CPU\": 1}, total resources available: {\"CPU\": 2.0}. Use `ray status` for more details.\n", + "\u001b[36m(ServeReplica:default:Doggos pid=19668, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:03,231 default_Doggos 21c29nfb -- Direct ingress is disabled, skipping direct ingress server start\n", + "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,037 proxy 10.0.95.114 -- Proxy starting on node 760a1c063ba581ef6100d697d1e1d263b0b354b603658541229768ae (HTTP port: 8000).\n", + "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,092 proxy 10.0.95.114 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", + "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,105 proxy 10.0.95.114 -- Started .\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=19669, ip=10.0.95.114)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m WARNING 2025-06-23 20:05:08,122 controller 75629 -- Deployment 'ClassPredictor' in application 'default' has 1 replicas that have taken more than 30s to initialize.\n", + "\u001b[36m(ServeController pid=75629)\u001b[0m This may be caused by a slow __init__ or reconfigure method.\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=19669, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:09,415 default_ClassPredictor fyf5xp23 -- Direct ingress is disabled, skipping direct ingress server start\n", + "INFO 2025-06-23 20:05:10,065 serve 75456 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", + "INFO 2025-06-23 20:05:10,071 serve 75456 -- Started .\n" ] }, { @@ -420,235 +355,87 @@ "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(ServeReplica:default:Doggos pid=27296, ip=10.0.188.182)\u001b[0m INFO 2025-05-29 17:40:10,757 default_Doggos 0964vqxx 5759bf7a-7345-415c-8005-f8ef6e5a6041 -- Started .\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=33585, ip=10.0.153.142)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/serve/_private/replica.py:1320: UserWarning: Calling sync method 'get_probabilities' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1.\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=33585, ip=10.0.153.142)\u001b[0m warnings.warn(\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=33585, ip=10.0.153.142)\u001b[0m Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=33585, ip=10.0.153.142)\u001b[0m Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[Map(Preprocessor.convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbeddingGenerator)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor.predict_probabilities)]\n" - ] - }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c111fea2f6f8455694345217e77dbb77", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "(pid=33585, ip=10.0.153.142) Running 0: 0.00 row [00:00, ? row/s]" + "[('collie', 0.2568000853061676),\n", + " ('border_collie', 0.16908691823482513),\n", + " ('bernese_mountain_dog', 0.0767023041844368)]" ] }, + "execution_count": null, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" }, { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=33905, ip=10.0.153.142)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=33585, ip=10.0.153.142)\u001b[0m INFO 2025-05-29 17:40:31,871 default_ClassPredictor orvh66v5 5759bf7a-7345-415c-8005-f8ef6e5a6041 -- CALL /predict/ OK 21100.2ms\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/serve/_private/replica.py:1320: UserWarning: Calling sync method 'get_top_matches' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1.\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m warnings.warn(\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/data/dataset.py:1331: UserWarning: Use 'expr' instead of 'fn' when possible for performant filters.\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m warnings.warn(\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-05-29_17-07-53_816345_69024/logs/ray-data\n", - "\u001b[36m(ServeReplica:default:EmbeddingSimilarity pid=33586, ip=10.0.153.142)\u001b[0m Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Filter()] -> TaskPoolMapOperator[MapBatches(compute_similarities)] -> AllToAllOperator[Sort] -> LimitOperator[limit=5]\n" + "\u001b[36m(autoscaler +38m14s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cb03d3d9488140e6aad8cfdd29683ab9", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=33586, ip=10.0.153.142) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4902ad3ec96446c3bcd8031ba641e168", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=33586, ip=10.0.153.142) Sort Sample 2: 0%| | 0.00/1.00 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ - "# Top matches by embedding similarity\n", - "from doggos.embed import display_top_matches\n", - "display_top_matches(url=url, matches=response.json()[\"top_matches\"])" + "[Ray Serve](https://docs.ray.io/en/latest/serve/index.html) is a highly scalable and flexible model serving library for building online inference APIs that allows you to:\n", + "- Wrap models and business logic as separate [serve deployments](https://docs.ray.io/en/latest/serve/key-concepts.html#deployment) and [connect](https://docs.ray.io/en/latest/serve/model_composition.html) them together (pipeline, ensemble, etc.)\n", + "- Avoid one large service that's network and compute bounded and an inefficient use of resources.\n", + "- Utilize fractional heterogeneous [resources](https://docs.ray.io/en/latest/serve/resource-allocation.html), which **isn't possible** with SageMaker, Vertex, KServe, etc., and horizontally scale with`num_replicas`.\n", + "- [autoscale](https://docs.ray.io/en/latest/serve/autoscaling-guide.html) up and down based on traffic.\n", + "- Integrate with [FastAPI and HTTP](https://docs.ray.io/en/latest/serve/http-guide.html).\n", + "- Set up a [gRPC service](https://docs.ray.io/en/latest/serve/advanced-guides/grpc-guide.html#set-up-a-grpc-service) to build distributed systems and microservices.\n", + "- Enable [dynamic batching](https://docs.ray.io/en/latest/serve/advanced-guides/dyn-req-batch.html) based on batch size, time, etc.\n", + "- Access a suite of [utilities for serving LLMs](https://docs.ray.io/en/latest/serve/llm/serving-llms.html) that are inference-engine agnostic and have batteries-included support for LLM-specific features such as multi-LoRA support\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "🔥 [RayTurbo Serve](https://docs.anyscale.com/rayturbo/rayturbo-serve) on Anyscale has more functionality on top of Ray Serve:\n", + "- **fast autoscaling and model loading** to get services up and running even faster with [5x improvements](https://www.anyscale.com/blog/autoscale-large-ai-models-faster) even for LLMs.\n", + "- 54% **higher QPS** and up-to 3x **streaming tokens per second** for high traffic serving use-cases with no proxy bottlenecks.\n", + "- **replica compaction** into fewer nodes where possible to reduce resource fragmentation and improve hardware utilization.\n", + "- **zero-downtime** [incremental rollouts](https://docs.anyscale.com/platform/services/update-a-service/#resource-constrained-updates) so your service is never interrupted.\n", + "- [**different environments**](https://docs.anyscale.com/platform/services/multi-app/#multiple-applications-in-different-containers) for each service in a multi-serve application.\n", + "- **multi availability-zone** aware scheduling of Ray Serve replicas to provide higher redundancy to availability zone failures." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Observability" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    🔎 Observability for services\n", - "\n", "The Ray dashboard and specifically the [Serve view](https://docs.ray.io/en/latest/ray-observability/getting-started.html#serve-view) automatically captures observability for Ray Serve applications. You can view the service [deployments and their replicas](https://docs.ray.io/en/latest/serve/key-concepts.html#serve-key-concepts-deployment) and time-series metrics to see the service's health.\n", "\n", - "" + "" ] }, { @@ -662,8 +449,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "
    Anyscale Services\n", - "\n", "[Anyscale Services](https://docs.anyscale.com/platform/services/) ([API ref](https://docs.anyscale.com/reference/service-api/)) offers a fault tolerant, scalable, and optimized way to serve Ray Serve applications. You can:\n", "- [rollout and update](https://docs.anyscale.com/platform/services/update-a-service) services with canary deployment and zero-downtime upgrades.\n", "- [monitor](https://docs.anyscale.com/platform/services/monitoring) services through a dedicated service page, unified log viewer, tracing, set up alerts, etc.\n", @@ -671,15 +456,7 @@ "- get [head node fault tolerance](https://docs.anyscale.com/platform/services/production-best-practices#head-node-ft). OSS Ray recovers from failed workers and replicas but not head node crashes.\n", "- serve [multiple applications](https://docs.anyscale.com/platform/services/multi-app) in a single service.\n", "\n", - "\n", - "\n", - "[RayTurbo Serve](https://docs.anyscale.com/rayturbo/rayturbo-serve) on Anyscale has more functionality on top of Ray Serve:\n", - "- **fast autoscaling and model loading** to get services up and running even faster with [5x improvements](https://www.anyscale.com/blog/autoscale-large-ai-models-faster) even for LLMs.\n", - "- 54% **higher QPS** and up-to 3x **streaming tokens per second** for high traffic serving use-cases with no proxy bottlenecks.\n", - "- **replica compaction** into fewer nodes where possible to reduce resource fragmentation and improve hardware utilization.\n", - "- **zero-downtime** [incremental rollouts](https://docs.anyscale.com/platform/services/update-a-service/#resource-constrained-updates) so your service is never interrupted.\n", - "- [**different environments**](https://docs.anyscale.com/platform/services/multi-app/#multiple-applications-in-different-containers) for each service in a multi-serve application.\n", - "- **multi availability-zone** aware scheduling of Ray Serve replicas to provide higher redundancy to availability zone failures.\n", + "\n", "\n" ] }, @@ -701,9 +478,11 @@ "# Production online service.\n", "anyscale service deploy doggos.serve:app --name=doggos-app \\\n", " --containerfile=\"/home/ray/default/containerfile\" \\\n", + " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", " --working-dir=\"/home/ray/default\" \\\n", " --exclude=\"\"\n", "```\n", + "\n", "```\n", "(anyscale +1.9s) Restarting existing service 'doggos-app'.\n", "(anyscale +3.2s) Uploading local dir '/home/ray/default' to cloud storage.\n", @@ -711,7 +490,7 @@ "(anyscale +5.8s) Service 'doggos-app' deployed (version ID: akz9ul28).\n", "(anyscale +5.8s) View the service in the UI: 'https://console.anyscale.com/services/service2_6hxismeqf1fkd2h7pfmljmncvm'\n", "(anyscale +5.8s) Query the service once it's running using the following curl command (add the path you want to query):\n", - "(anyscale +5.8s) curl -H \"Authorization: Bearer 4syAhpiTQPW_iskqwprfFNzfO_ZSeJY_SVNRrmDdm98\" https://doggos-app-bxauk.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com/\n", + "(anyscale +5.8s) curl -H \"Authorization: Bearer \" https://doggos-app-bxauk.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com/\n", "```" ] }, @@ -752,12 +531,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "
    CI/CD\n", - "\n", "While Anyscale [Jobs](https://docs.anyscale.com/platform/jobs/) and [Services](https://docs.anyscale.com/platform/services/) are useful atomic concepts that help you productionize workloads, they're also useful for nodes in a larger ML DAG or [CI/CD workflow](https://docs.anyscale.com/ci-cd/). You can chain Jobs together, store results and then serve your application with those artifacts. From there, you can trigger updates to your service and retrigger the Jobs based on events, time, etc. While you can simply use the Anyscale CLI to integrate with any orchestration platform, Anyscale does support some purpose-built integrations like [Airflow](https://docs.anyscale.com/ci-cd/apache-airflow/) and [Prefect](https://github.com/anyscale/prefect-anyscale).\n", "\n", - "\n", - "\n" + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**🚨 Note**: Reset this notebook using the **\"🔄 Restart\"** button location at the notebook's menu bar. This way we can free up all the variables, utils, etc. used in this notebook." ] } ], @@ -777,7 +560,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.12.11" } }, "nbformat": 4, diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt new file mode 100644 index 000000000000..42a1a0e489ce --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt @@ -0,0 +1,6 @@ +matplotlib==3.10.0 +torch==2.7.1 +transformers==4.52.3 +scikit-learn==1.6.0 +mlflow==2.19.0 +ipywidgets==8.1.3 From 83b79add3315ee455cc88ad60e6592874dc91289 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Wed, 30 Jul 2025 04:55:53 +0000 Subject: [PATCH 0393/1566] [Core] Update V2 Autoscaler to support scheduling using Node labels and LabelSelector API (#53578) Signed-off-by: Ryan O'Leary Signed-off-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Rueian Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 23 -- python/ray/autoscaler/v2/event_logger.py | 16 + python/ray/autoscaler/v2/scheduler.py | 78 +++- python/ray/autoscaler/v2/schema.py | 2 + python/ray/autoscaler/v2/tests/test_e2e.py | 101 ++++++ .../ray/autoscaler/v2/tests/test_scheduler.py | 333 +++++++++++++++++- python/ray/autoscaler/v2/tests/test_sdk.py | 4 +- python/ray/autoscaler/v2/utils.py | 107 ++++-- src/ray/common/scheduling/label_selector.cc | 14 + src/ray/common/scheduling/label_selector.h | 27 ++ src/ray/common/task/task_spec.cc | 16 +- src/ray/common/task/task_spec.h | 40 ++- src/ray/common/test/task_spec_test.cc | 90 ++--- .../gcs_autoscaler_state_manager.cc | 74 +++- .../gcs_server/gcs_autoscaler_state_manager.h | 5 +- .../gcs/gcs_server/gcs_resource_manager.cc | 8 +- src/ray/gcs/gcs_server/state_util.cc | 15 +- src/ray/gcs/gcs_server/state_util.h | 75 +++- .../test/gcs_autoscaler_state_manager_test.cc | 172 ++++++++- src/ray/gcs/test/gcs_test_util.h | 6 +- src/ray/protobuf/BUILD | 4 + src/ray/protobuf/autoscaler.proto | 32 +- src/ray/protobuf/common.proto | 30 +- src/ray/protobuf/gcs.proto | 4 + .../scheduling/scheduler_resource_reporter.cc | 4 + 25 files changed, 1068 insertions(+), 212 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index ec01b7545ad1..0f0de091d7e6 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -263,22 +263,6 @@ python/ray/_private/test_utils.py DOC101: Function `monitor_memory_usage`: Docstring contains fewer arguments than in function signature. DOC103: Function `monitor_memory_usage`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [print_interval_s: int, record_interval_s: int]. Arguments in the docstring but not in the function signature: [interval_s: ]. -------------------- -python/ray/_private/usage/usage_lib.py - DOC201: Function `record_extra_usage_tag` does not have a return section in docstring - DOC201: Function `_generate_cluster_metadata` does not have a return section in docstring - DOC106: Function `put_cluster_metadata`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `put_cluster_metadata`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC101: Function `get_extra_usage_tags_to_report`: Docstring contains fewer arguments than in function signature. - DOC106: Function `get_extra_usage_tags_to_report`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `get_extra_usage_tags_to_report`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Function `get_extra_usage_tags_to_report`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [gcs_client: ]. - DOC106: Function `_get_cluster_status_to_report_v2`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `_get_cluster_status_to_report_v2`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `get_cluster_status_to_report`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `get_cluster_status_to_report`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `get_cluster_metadata`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `get_cluster_metadata`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- python/ray/_private/utils.py DOC101: Function `format_error_message`: Docstring contains fewer arguments than in function signature. DOC103: Function `format_error_message`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [task_exception: bool]. @@ -766,8 +750,6 @@ python/ray/autoscaler/v2/utils.py DOC107: Method `ProtobufUtil.to_dict`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints DOC106: Method `ProtobufUtil.to_dict_list`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `ProtobufUtil.to_dict_list`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC101: Method `ResourceRequestUtil.make`: Docstring contains fewer arguments than in function signature. - DOC103: Method `ResourceRequestUtil.make`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [constraints: Optional[List[Tuple[PlacementConstraintType, str, str]]]]. DOC103: Method `ClusterStatusFormatter._constraint_report`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [cluster_constraint_demand: List[ClusterConstraintDemand]]. Arguments in the docstring but not in the function signature: [data: ]. -------------------- python/ray/client_builder.py @@ -1571,11 +1553,6 @@ python/ray/llm/_internal/common/utils/download_utils.py python/ray/llm/_internal/serve/configs/openai_api_models.py DOC201: Function `to_model_metadata` does not have a return section in docstring -------------------- -python/ray/llm/_internal/serve/deployments/llm/multiplex/utils.py - DOC201: Function `retry_with_exponential_backoff` does not have a return section in docstring - DOC101: Function `get_object_from_cloud`: Docstring contains fewer arguments than in function signature. - DOC103: Function `get_object_from_cloud`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [object_uri: str]. --------------------- python/ray/llm/_internal/serve/deployments/routers/router.py DOC101: Method `LLMRouter.completions`: Docstring contains fewer arguments than in function signature. DOC103: Method `LLMRouter.completions`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [body: CompletionRequest]. diff --git a/python/ray/autoscaler/v2/event_logger.py b/python/ray/autoscaler/v2/event_logger.py index 961dc37bb0ad..316378867e27 100644 --- a/python/ray/autoscaler/v2/event_logger.py +++ b/python/ray/autoscaler/v2/event_logger.py @@ -11,6 +11,7 @@ GangResourceRequest, ResourceRequest, ) +from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.instance_manager_pb2 import LaunchRequest, TerminationRequest logger = logging.getLogger(__name__) @@ -105,6 +106,21 @@ def log_cluster_scheduling_update( if idx < len(requests_by_count) - 1: log_str += ", " + # Parse and log label selectors if present + if req_count.request.label_selectors: + selector_strs = [] + for selector in req_count.request.label_selectors: + for constraint in selector.label_constraints: + op = LabelSelectorOperator.Name(constraint.operator) + values = ",".join(constraint.label_values) + selector_strs.append( + f"{constraint.label_key} {op} [{values}]" + ) + if selector_strs: + log_str += ( + " with label selectors: [" + "; ".join(selector_strs) + "]" + ) + log_str += ( ". Add suitable node types to this cluster to resolve this issue." ) diff --git a/python/ray/autoscaler/v2/scheduler.py b/python/ray/autoscaler/v2/scheduler.py index 369b2af8570d..641baa2c81a9 100644 --- a/python/ray/autoscaler/v2/scheduler.py +++ b/python/ray/autoscaler/v2/scheduler.py @@ -20,6 +20,7 @@ from ray.autoscaler.v2.instance_manager.config import NodeTypeConfig from ray.autoscaler.v2.schema import AutoscalerInstance, NodeType from ray.autoscaler.v2.utils import ProtobufUtil, ResourceRequestUtil +from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.autoscaler_pb2 import ( ClusterResourceConstraint, GangResourceRequest, @@ -275,8 +276,10 @@ def new( # Available resources for scheduling requests of different # sources. available_resources=dict(instance.ray_node.available_resources), - # Use ray node's dynamic labels. - labels=dict(instance.ray_node.dynamic_labels), + labels={ + **(instance.ray_node.labels or {}), + **(instance.ray_node.dynamic_labels or {}), + }, status=SchedulingNodeStatus.SCHEDULABLE, im_instance_id=instance.im_instance.instance_id, im_instance_status=instance.im_instance.status, @@ -437,16 +440,22 @@ def _compute_score( A "higher" score means that this node is more suitable for scheduling the current scheduled resource requests. - The score is a tuple of 4 values: - 1. Whether this node is a GPU node and the current resource request has + The score is a tuple of 5 values: + 1. Whether this node has labels matching the current resource request's + label_selector requirements: + 0: if this node does not satisfy any label selector requirements or + no label selectors are provided. + len(label_selectors)-i: a score based on the priority of the label + selector in the resource request that this node satisfies. + 2. Whether this node is a GPU node and the current resource request has GPU requirements: 0: if this node is a GPU node and the current resource request placed onto the node has no GPU requirements. 1: if this node is not a GPU node or the current resource request placed onto the node has GPU requirements. - 2. The number of resource types being scheduled. - 3. The minimum utilization rate across all resource types. - 4. The average utilization rate across all resource types. + 3. The number of resource types being scheduled. + 4. The minimum utilization rate across all resource types. + 5. The average utilization rate across all resource types. NOTE: This function is adapted from _resource_based_utilization_scorer from @@ -499,11 +508,15 @@ def _compute_score( if is_gpu_node and not any_gpu_requests: gpu_ok = False + # Check if node satisfies label requirements. + matches_labels = self._satisfies_label_constraints(sched_requests) + # Prioritize avoiding gpu nodes for non-gpu workloads first, # then prioritize matching multiple resource types, # then prioritize using all resources, # then prioritize overall balance of multiple resources. return ( + matches_labels, gpu_ok, num_matching_resource_types, min(util_by_resources) if util_by_resources else 0, @@ -512,6 +525,37 @@ def _compute_score( else 0, ) + def _satisfies_label_constraints( + self, sched_requests: List[ResourceRequest] + ) -> int: + """Returns a higher value based on the priority of the label selector this node + satisfies (first returns highest score, decreasing sequentially for fallback), 0 otherwise.""" + for req in sched_requests: + num_selectors = len(req.label_selectors) + for i, selector in enumerate(req.label_selectors): + all_constraints_pass = True + for constraint in selector.label_constraints: + key = constraint.label_key + values = set(constraint.label_values) + op = constraint.operator + node_val = self.labels.get(key) + + if op == LabelSelectorOperator.LABEL_OPERATOR_IN: + if node_val not in values: + all_constraints_pass = False + break + elif op == LabelSelectorOperator.LABEL_OPERATOR_NOT_IN: + if node_val in values: + all_constraints_pass = False + break + else: + all_constraints_pass = False + break + + if all_constraints_pass: + return num_selectors - i + return 0 + def _try_schedule_one( self, request: ResourceRequest, resource_request_source: ResourceRequestSource ) -> bool: @@ -528,6 +572,11 @@ def _try_schedule_one( True if the resource request is scheduled on this node. """ + # Enforce label selector constraints + if request.label_selectors: + if self._satisfies_label_constraints([request]) == 0: + return False # Node doesn't satisfy any label selector in request. + # Check if there's placement constraints that are not satisfied. for constraint in request.placement_constraints: if constraint.HasField("anti_affinity"): @@ -1347,17 +1396,24 @@ def _try_schedule( def _sort_resource_request(req: ResourceRequest) -> Tuple: """ Sort the resource requests by: - 1. The length of it's placement constraints. - 2. The number of resources it requests. - 3. The values of resources it requests. - 4. lexicographically for each resource (for stable ordering) + 1. The length of its placement constraints. + 2. The length of its first label selector constraints (if any). + 3. The number of resources it requests. + 4. The values of resources it requests. + 5. lexicographically for each resource (for stable ordering) This is a legacy sorting function for the autoscaler's binpacking algo - we do this so that we could have a deterministic scheduling results with reasonable fragmentation. """ + label_constraint_len = ( + len(req.label_selectors[0].label_constraints) + if req.label_selectors + else 0 + ) return ( len(req.placement_constraints), + label_constraint_len, len(req.resources_bundle.values()), sum(req.resources_bundle.values()), sorted(req.resources_bundle.items()), diff --git a/python/ray/autoscaler/v2/schema.py b/python/ray/autoscaler/v2/schema.py index 76eda2ec57c5..47c722c87cba 100644 --- a/python/ray/autoscaler/v2/schema.py +++ b/python/ray/autoscaler/v2/schema.py @@ -58,6 +58,8 @@ class NodeInfo: details: Optional[str] = None # Activity on the node. node_activity: Optional[List[str]] = None + # Ray node labels. + labels: Optional[Dict[str, str]] = None def total_resources(self) -> Dict[str, float]: if self.resource_usage is None: diff --git a/python/ray/autoscaler/v2/tests/test_e2e.py b/python/ray/autoscaler/v2/tests/test_e2e.py index 870be60a3754..4283af09a091 100644 --- a/python/ray/autoscaler/v2/tests/test_e2e.py +++ b/python/ray/autoscaler/v2/tests/test_e2e.py @@ -526,6 +526,107 @@ def nodes_up(): cluster.shutdown() +@pytest.mark.parametrize("autoscaler_v2", [True]) +def test_task_scheduled_on_node_with_label_selector(autoscaler_v2): + cluster = AutoscalingCluster( + head_resources={"CPU": 0}, + worker_node_types={ + "node1": { + "resources": {"CPU": 1}, + "node_config": {}, + "labels": {"accelerator-type": "A100", "market-type": "spot"}, + "min_workers": 0, + "max_workers": 1, + }, + "node2": { + "resources": {"CPU": 1}, + "node_config": {}, + "labels": { + "region": "us-east1", + "accelerator-type": "TPU", + "market-type": "spot", + }, + "min_workers": 0, + "max_workers": 1, + }, + "node3": { + "resources": {"CPU": 1}, + "node_config": {}, + "labels": {"accelerator-type": "B200", "market-type": "spot"}, + "min_workers": 0, + "max_workers": 1, + }, + "node4": { + "resources": {"CPU": 1}, + "node_config": {}, + "labels": {"market-type": "on-demand", "accelerator-type": "TPU"}, + "min_workers": 0, + "max_workers": 1, + }, + }, + idle_timeout_minutes=999, + autoscaler_v2=autoscaler_v2, + ) + + driver_script = """ +import ray +import time + +@ray.remote(num_cpus=1, label_selector={"accelerator-type": "A100"}) +def task1(): + print("Running task1") + time.sleep(60) + return True + +@ray.remote(num_cpus=1, label_selector={"region": "in(us-east1,me-central1)"}) +def task2(): + print("Running task2") + time.sleep(60) + return True + +@ray.remote(num_cpus=1, label_selector={"accelerator-type": "!in(A100,TPU)"}) +def task3(): + print("Running task3") + time.sleep(60) + return True + +@ray.remote(num_cpus=1, label_selector={"market-type": "!in(spot)"}) +def task4(): + print("Running task4") + time.sleep(60) + return True + +ray.init("auto") +assert(ray.get([task1.remote(), task2.remote(), task3.remote(), task4.remote()])) +""" + + try: + cluster.start() + ray.init("auto") + gcs_address = ray.get_runtime_context().gcs_address + expected_nodes = 4 + + def tasks_run(): + tasks = list_tasks() + assert len(tasks) > 0 + return True + + run_string_as_driver_nonblocking(driver_script) + wait_for_condition(tasks_run) + + def all_tasks_scheduled(): + status = get_cluster_status(gcs_address) + return len(status.active_nodes) == expected_nodes + + # All tasks with label selectors should be scheduled, scaling + # 4 nodes with the required labels. + wait_for_condition(all_tasks_scheduled, timeout=60) + + finally: + ray.shutdown() + cluster.shutdown() + + if __name__ == "__main__": if os.environ.get("PARALLEL_CI"): sys.exit(pytest.main(["-n", "auto", "--boxed", "-vs", __file__])) diff --git a/python/ray/autoscaler/v2/tests/test_scheduler.py b/python/ray/autoscaler/v2/tests/test_scheduler.py index 848d153954ad..1f95f83df3b2 100644 --- a/python/ray/autoscaler/v2/tests/test_scheduler.py +++ b/python/ray/autoscaler/v2/tests/test_scheduler.py @@ -22,6 +22,7 @@ from ray.autoscaler.v2.schema import AutoscalerInstance, NodeType from ray.autoscaler.v2.tests.util import MockEventLogger, make_autoscaler_instance from ray.autoscaler.v2.utils import ResourceRequestUtil +from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.autoscaler_pb2 import ( ClusterResourceConstraint, GangResourceRequest, @@ -1930,64 +1931,138 @@ def try_schedule(node_resources: Dict, requests: List[Dict]) -> Tuple: infeasible, score = node.try_schedule(requests, source) return ResourceRequestUtil.to_resource_maps(infeasible), score - assert try_schedule({"CPU": 1}, [{"CPU": 1}]) == ([], (True, 1, 1.0, 1.0)) + assert try_schedule({"CPU": 1}, [{"CPU": 1}]) == ([], (0, True, 1, 1.0, 1.0)) - assert try_schedule({"GPU": 4}, [{"GPU": 2}]) == ([], (True, 1, 0.5, 0.5)) + assert try_schedule({"GPU": 4}, [{"GPU": 2}]) == ([], (0, True, 1, 0.5, 0.5)) assert try_schedule({"GPU": 4}, [{"GPU": 1}, {"GPU": 1}]) == ( [], - (True, 1, 0.5, 0.5), + (0, True, 1, 0.5, 0.5), + ) + assert try_schedule({"GPU": 2}, [{"GPU": 2}]) == ([], (0, True, 1, 2, 2)) + assert try_schedule({"GPU": 2}, [{"GPU": 1}, {"GPU": 1}]) == ( + [], + (0, True, 1, 2, 2), ) - assert try_schedule({"GPU": 2}, [{"GPU": 2}]) == ([], (True, 1, 2, 2)) - assert try_schedule({"GPU": 2}, [{"GPU": 1}, {"GPU": 1}]) == ([], (True, 1, 2, 2)) assert try_schedule({"GPU": 1}, [{"GPU": 1, "CPU": 1}, {"GPU": 1}]) == ( [{"GPU": 1, "CPU": 1}], - (True, 1, 1, 1), + (0, True, 1, 1, 1), ) assert try_schedule({"GPU": 1, "CPU": 1}, [{"GPU": 1, "CPU": 1}, {"GPU": 1}]) == ( [{"GPU": 1}], - (True, 2, 1, 1), + (0, True, 2, 1, 1), ) - assert try_schedule({"GPU": 2, "TPU": 1}, [{"GPU": 2}]) == ([], (True, 1, 0, 1)) - assert try_schedule({"CPU": 64}, [{"CPU": 64}]) == ([], (True, 1, 64, 64)) - assert try_schedule({"CPU": 64}, [{"CPU": 32}]) == ([], (True, 1, 8, 8)) + assert try_schedule({"GPU": 2, "TPU": 1}, [{"GPU": 2}]) == ([], (0, True, 1, 0, 1)) + assert try_schedule({"CPU": 64}, [{"CPU": 64}]) == ([], (0, True, 1, 64, 64)) + assert try_schedule({"CPU": 64}, [{"CPU": 32}]) == ([], (0, True, 1, 8, 8)) assert try_schedule({"CPU": 64}, [{"CPU": 16}, {"CPU": 16}]) == ( [], - (True, 1, 8, 8), + (0, True, 1, 8, 8), ) # GPU Scores assert try_schedule({"GPU": 1, "CPU": 1}, [{"CPU": 1}]) == ( [], - (False, 1, 0.0, 0.5), + (0, False, 1, 0.0, 0.5), ) assert try_schedule({"GPU": 1, "CPU": 1}, [{"CPU": 1, "GPU": 1}]) == ( [], - (True, 2, 1.0, 1.0), + (0, True, 2, 1.0, 1.0), ) assert try_schedule({"GPU": 1, "CPU": 1}, [{"GPU": 1}]) == ( [], - (True, 1, 0.0, 0.5), + (0, True, 1, 0.0, 0.5), ) # Zero resources assert try_schedule({"CPU": 0, "custom": 1}, [{"custom": 1}]) == ( [], - (True, 1, 1, 1), + (0, True, 1, 1, 1), ) assert try_schedule({"CPU": 0, "custom": 1}, [{"CPU": 1}]) == ( [{"CPU": 1}], - (True, 0, 0.0, 0.0), + (0, True, 0, 0.0, 0.0), ) # Implicit resources implicit_resource = ray._raylet.IMPLICIT_RESOURCE_PREFIX + "a" assert try_schedule({"CPU": 1}, [{implicit_resource: 1}]) == ( [], - (True, 0, 0.0, 0.0), + (0, True, 0, 0.0, 0.0), ) assert try_schedule({"CPU": 1}, [{implicit_resource: 1}] * 2) == ( [{implicit_resource: 1}], - (True, 0, 0.0, 0.0), + (0, True, 0, 0.0, 0.0), + ) + + +@pytest.mark.parametrize( + "source", + [ + ResourceRequestSource.PENDING_DEMAND, + ResourceRequestSource.CLUSTER_RESOURCE_CONSTRAINT, + ], + ids=["demand", "cluster_resource_constraint"], +) +def test_node_schedule_label_selector_score(source): + def try_schedule_ls( + node_resources: Dict, + node_labels: Dict[str, str], + selectors, + ) -> Tuple: + cfg = NodeTypeConfig( + name="type_1", + resources=node_resources, + min_worker_nodes=0, + max_worker_nodes=1, + labels=node_labels, + ) + node = SchedulingNode.from_node_config( + node_config=cfg, + status=SchedulingNodeStatus.SCHEDULABLE, + node_kind=NodeKind.WORKER, + ) + req = ResourceRequestUtil.make({"CPU": 1}, label_selectors=selectors) + infeasible, score = node.try_schedule([req], source) + return ResourceRequestUtil.to_resource_maps(infeasible), score + + labels = {"ray.io/accelerator-type": "A100"} + + # 1) A matching label selector should be schedulable on node type_1 + label_selector_1 = [ + [ + ( + "ray.io/accelerator-type", + LabelSelectorOperator.LABEL_OPERATOR_IN, + ["TPU-v6e"], + ) + ], + [ + ( + "ray.io/accelerator-type", + LabelSelectorOperator.LABEL_OPERATOR_IN, + ["B200"], + ) + ], + [ + ( + "ray.io/accelerator-type", + LabelSelectorOperator.LABEL_OPERATOR_IN, + ["A100"], + ) + ], + ] + assert try_schedule_ls({"CPU": 1}, labels, label_selector_1) == ( + [], + (1, True, 1, 1.0, 1.0), + ) + + # 2) A non‑matching label selector should be infeasible + label_selector_2 = [ + [("ray.io/accelerator-type", LabelSelectorOperator.LABEL_OPERATOR_IN, ["B200"])] + ] + assert try_schedule_ls({"CPU": 1}, labels, label_selector_2) == ( + [{"CPU": 1.0}], + (0, True, 0, 0.0, 0.0), ) @@ -2341,6 +2416,228 @@ def get_nodes_for(gang_resource_requests) -> Tuple[Dict, List[List[Dict]]]: ) == ({"p2.8xlarge": 1}, []) +def test_schedule_node_with_matching_labels(): + """ + Test that a node with matching labels is considered schedulable and used to satisfy a request + with a label_selector. + """ + scheduler = ResourceDemandScheduler(event_logger) + node_type_configs = { + "labelled_node": NodeTypeConfig( + name="labelled_node", + resources={"CPU": 1}, + min_worker_nodes=0, + max_worker_nodes=10, + labels={"accelerator": "A100"}, + ), + } + + # The existing instance has matching dynamic label. + instance = make_autoscaler_instance( + im_instance=Instance( + instance_type="labelled_node", + status=Instance.RAY_RUNNING, + instance_id="1", + node_id=b"r-1", + ), + ray_node=NodeState( + node_id=b"r-1", + ray_node_type_name="labelled_node", + available_resources={"CPU": 1}, + total_resources={"CPU": 1}, + labels={"accelerator": "A100"}, + status=NodeStatus.RUNNING, + ), + cloud_instance_id="c-1", + ) + + # No new nodes should be launched if the existing node satisfies the request. + resource_request = ResourceRequestUtil.make( + {"CPU": 1}, + label_selectors=[ + [("accelerator", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])] + ], + ) + + request = sched_request( + node_type_configs=node_type_configs, + resource_requests=[resource_request], + instances=[instance], + ) + reply = scheduler.schedule(request) + to_launch, _ = _launch_and_terminate(reply) + assert to_launch == {} + + +def test_scale_up_node_to_satisfy_labels(): + """ + Test that a resource request with a label selector scales up a new node with + labels to satisfy the constraint. + """ + scheduler = ResourceDemandScheduler(event_logger) + + node_type_configs = { + "tpu_node": NodeTypeConfig( + name="tpu_node", + resources={"CPU": 1}, + labels={"accelerator": "TPU"}, + min_worker_nodes=0, + max_worker_nodes=10, + ), + "gpu_node": NodeTypeConfig( + name="gpu_node", + resources={"CPU": 1}, + labels={"accelerator": "A100"}, + min_worker_nodes=0, + max_worker_nodes=10, + ), + } + + # Request: want a node with label "accelerator: A100" + resource_request = ResourceRequestUtil.make( + {"CPU": 1}, + label_selectors=[ + [("accelerator", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])] + ], + ) + + request = sched_request( + node_type_configs=node_type_configs, + resource_requests=[resource_request], + ) + + reply = scheduler.schedule(request) + to_launch, _ = _launch_and_terminate(reply) + + assert to_launch == {"gpu_node": 1} + + +def test_label_selector_fallback_priority(): + """ + Test that a resource request with multiple label selectors scales up + the expected node given its fallback priority (i.e. earlier selectors are + satisfied first). + """ + scheduler = ResourceDemandScheduler(event_logger) + + node_type_configs = { + "tpu_node": NodeTypeConfig( + name="tpu_node", + resources={"CPU": 1}, + labels={"accelerator-type": "TPU"}, + min_worker_nodes=0, + max_worker_nodes=10, + ), + "gpu_node": NodeTypeConfig( + name="gpu_node", + resources={"CPU": 1}, + labels={"accelerator-type": "A100"}, + min_worker_nodes=0, + max_worker_nodes=10, + ), + } + + # 1). TPU node is scaled up to satisfy first label selector. + req1 = ResourceRequestUtil.make( + {"CPU": 1}, + label_selectors=[ + [("accelerator-type", LabelSelectorOperator.LABEL_OPERATOR_IN, ["TPU"])], + [("accelerator-type", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])], + ], + ) + reply1 = scheduler.schedule( + sched_request(node_type_configs=node_type_configs, resource_requests=[req1]) + ) + to_launch1, _ = _launch_and_terminate(reply1) + assert to_launch1 == {"tpu_node": 1} + + # 1). Label selector falls back to second priority and scales up A100 node. + req2 = ResourceRequestUtil.make( + {"CPU": 1}, + label_selectors=[ + # infeasible + [("accelerator-type", LabelSelectorOperator.LABEL_OPERATOR_IN, ["B200"])], + [("accelerator-type", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])], + ], + ) + reply2 = scheduler.schedule( + sched_request(node_type_configs=node_type_configs, resource_requests=[req2]) + ) + to_launch2, _ = _launch_and_terminate(reply2) + assert to_launch2 == {"gpu_node": 1} + + +def test_pg_with_bundle_infeasible_label_selectors(): + """ + Test that placement group scheduling honors bundle_label_selectors. + """ + scheduler = ResourceDemandScheduler(event_logger) + AFFINITY = ResourceRequestUtil.PlacementConstraintType.AFFINITY + + node_type_configs = { + "gpu_node": NodeTypeConfig( + name="gpu_node", + resources={"CPU": 4, "GPU": 1}, + min_worker_nodes=0, + max_worker_nodes=5, + labels={"accelerator": "A100"}, + ), + "tpu_node": NodeTypeConfig( + name="tpu_node", + resources={"CPU": 4}, + min_worker_nodes=0, + max_worker_nodes=5, + labels={"accelerator": "TPU"}, + ), + } + + # Create ResourceRequests for a placement group where each bundle has different label selectors + gpu_request = ResourceRequestUtil.make( + {"CPU": 2, "GPU": 1}, + constraints=[(AFFINITY, "pg-1", "")], + label_selectors=[ + [("accelerator", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])] + ], + ) + tpu_request = ResourceRequestUtil.make( + {"CPU": 2}, + constraints=[(AFFINITY, "pg-1", "")], + label_selectors=[ + [("accelerator", LabelSelectorOperator.LABEL_OPERATOR_IN, ["TPU"])] + ], + ) + + request = sched_request( + node_type_configs=node_type_configs, + gang_resource_requests=[[gpu_request, tpu_request]], + ) + + reply = scheduler.schedule(request) + to_launch, _ = _launch_and_terminate(reply) + + assert sorted(to_launch) == sorted({"gpu_node": 1, "tpu_node": 1}) + + # Both bundles require A100, but no node has enough resources -> infeasible + infeasbile_gpu_request = ResourceRequestUtil.make( + {"CPU": 3, "GPU": 1}, + constraints=[(AFFINITY, "pg-2", "")], + label_selectors=[ + [("accelerator", LabelSelectorOperator.LABEL_OPERATOR_IN, ["A100"])] + ], + ) + + request = sched_request( + node_type_configs=node_type_configs, + gang_resource_requests=[[infeasbile_gpu_request, infeasbile_gpu_request]], + ) + + reply = scheduler.schedule(request) + to_launch, _ = _launch_and_terminate(reply) + + assert to_launch == {} + assert len(reply.infeasible_gang_resource_requests) == 1 + + if __name__ == "__main__": if os.environ.get("PARALLEL_CI"): sys.exit(pytest.main(["-n", "auto", "--boxed", "-vs", __file__])) diff --git a/python/ray/autoscaler/v2/tests/test_sdk.py b/python/ray/autoscaler/v2/tests/test_sdk.py index 244154e84277..1101951b5245 100644 --- a/python/ray/autoscaler/v2/tests/test_sdk.py +++ b/python/ray/autoscaler/v2/tests/test_sdk.py @@ -357,7 +357,9 @@ def verify(): state, [ ExpectedNodeState( - head_node_id, NodeStatus.RUNNING, labels={f"_PG_{pg_id}": ""} + head_node_id, + NodeStatus.RUNNING, + labels={f"_PG_{pg_id}": ""}, ), ], ) diff --git a/python/ray/autoscaler/v2/utils.py b/python/ray/autoscaler/v2/utils.py index 8d86b024a545..d3128e961c63 100644 --- a/python/ray/autoscaler/v2/utils.py +++ b/python/ray/autoscaler/v2/utils.py @@ -43,6 +43,10 @@ from ray.core.generated.autoscaler_pb2 import ( ResourceRequestByCount as ResourceRequestByCountProto, ) +from ray.core.generated.common_pb2 import ( + LabelSelectorConstraint, + LabelSelector, +) from ray.experimental.internal_kv import internal_kv_get_gcs_client @@ -188,41 +192,63 @@ def to_resource_maps( def make( resources_map: Dict[str, float], constraints: Optional[List[Tuple[PlacementConstraintType, str, str]]] = None, + label_selectors: Optional[List[List[Tuple[str, int, List[str]]]]] = None, ) -> ResourceRequest: """ Make a resource request from the given resources map. Args: - resources_map: the resources map + resources_map: Mapping of resource names to quantities. + constraints: Placement constraints. Each tuple is (constraint_type, + label_key, label_value), where `constraint_type` is a + PlacementConstraintType (AFFINITY or ANTI_AFFINITY). + label_selectors: Optional list of label selectors. Each selector is + a list of (label_key, operator_enum, label_values) tuples. Returns: - request: the resource request + request: the ResourceRequest object """ request = ResourceRequest() for resource_name, quantity in resources_map.items(): request.resources_bundle[resource_name] = quantity - if constraints is None: - return request - - for constraint_type, label, value in constraints: - if constraint_type == ResourceRequestUtil.PlacementConstraintType.AFFINITY: - request.placement_constraints.append( - PlacementConstraint( - affinity=AffinityConstraint(label_name=label, label_value=value) + if constraints is not None: + for constraint_type, label, value in constraints: + if ( + constraint_type + == ResourceRequestUtil.PlacementConstraintType.AFFINITY + ): + request.placement_constraints.append( + PlacementConstraint( + affinity=AffinityConstraint( + label_name=label, label_value=value + ) + ) ) - ) - elif ( - constraint_type - == ResourceRequestUtil.PlacementConstraintType.ANTI_AFFINITY - ): - request.placement_constraints.append( - PlacementConstraint( - anti_affinity=AntiAffinityConstraint( - label_name=label, label_value=value + elif ( + constraint_type + == ResourceRequestUtil.PlacementConstraintType.ANTI_AFFINITY + ): + request.placement_constraints.append( + PlacementConstraint( + anti_affinity=AntiAffinityConstraint( + label_name=label, label_value=value + ) ) ) - ) - else: - raise ValueError(f"Unknown constraint type: {constraint_type}") + else: + raise ValueError(f"Unknown constraint type: {constraint_type}") + + if label_selectors is not None: + for selector in label_selectors: + selector_proto = LabelSelector() + for label_key, operator_enum, label_values in selector: + selector_proto.label_constraints.append( + LabelSelectorConstraint( + label_key=label_key, + operator=operator_enum, + label_values=label_values, + ) + ) + request.label_selectors.append(selector_proto) return request @@ -250,7 +276,7 @@ def combine_requests_with_affinity( # Map of set of serialized affinity constraint to the list of resource requests requests_by_affinity: Dict[ - Tuple[str, str], List[ResourceRequest] + Tuple[str, str, Tuple], List[ResourceRequest] ] = defaultdict(list) combined_requests: List[ResourceRequest] = [] @@ -268,10 +294,14 @@ def combine_requests_with_affinity( constraint = request.placement_constraints[0] if constraint.HasField("affinity"): + # Combine requests with affinity and label selectors. affinity = constraint.affinity - requests_by_affinity[ - (affinity.label_name, affinity.label_value) - ].append(request) + key = ( + affinity.label_name, + affinity.label_value, + ResourceRequestUtil._label_selector_key(request.label_selectors), + ) + requests_by_affinity[key].append(request) elif constraint.HasField("anti_affinity"): # We don't need to combine requests with anti-affinity constraints. combined_requests.append(request) @@ -279,6 +309,7 @@ def combine_requests_with_affinity( for ( affinity_label_name, affinity_label_value, + label_selector_key, ), requests in requests_by_affinity.items(): combined_request = ResourceRequest() @@ -297,10 +328,33 @@ def combine_requests_with_affinity( PlacementConstraint(affinity=affinity_constraint) ) + combined_request.label_selectors.extend(requests[0].label_selectors) + combined_requests.append(combined_request) return combined_requests + def _label_selector_key( + label_selectors: List[LabelSelector], + ) -> Tuple: + """ + Convert label selectors into a hashable form for grouping. + This is used for gang requests with identical label_selectors. + """ + result = [] + for selector in label_selectors: + constraints = [] + for constraint in selector.label_constraints: + constraints.append( + ( + constraint.label_key, + constraint.operator, + tuple(sorted(constraint.label_values)), + ) + ) + result.append(tuple(constraints)) + return tuple(result) + class ClusterStatusFormatter: """ @@ -891,6 +945,7 @@ def _parse_nodes( resource_usage=node_resource_usage, failure_detail=failure_detail, node_activity=node_state.node_activity, + labels=dict(node_state.labels), ) if node_state.status == NodeStatus.DEAD: diff --git a/src/ray/common/scheduling/label_selector.cc b/src/ray/common/scheduling/label_selector.cc index 0b315a51303e..1f30175a4636 100644 --- a/src/ray/common/scheduling/label_selector.cc +++ b/src/ray/common/scheduling/label_selector.cc @@ -32,6 +32,20 @@ LabelSelector::LabelSelector( } } +rpc::LabelSelector LabelSelector::ToProto() const { + rpc::LabelSelector result; + for (const auto &constraint : constraints_) { + auto *proto_constraint = result.add_label_constraints(); + proto_constraint->set_label_key(constraint.GetLabelKey()); + proto_constraint->set_operator_( + static_cast(constraint.GetOperator())); + for (const auto &val : constraint.GetLabelValues()) { + proto_constraint->add_label_values(val); + } + } + return result; +} + void LabelSelector::AddConstraint(const std::string &key, const std::string &value) { auto [op, values] = ParseLabelSelectorValue(key, value); LabelConstraint constraint(key, op, values); diff --git a/src/ray/common/scheduling/label_selector.h b/src/ray/common/scheduling/label_selector.h index c2b59a507c27..4f96e5cfc1f8 100644 --- a/src/ray/common/scheduling/label_selector.h +++ b/src/ray/common/scheduling/label_selector.h @@ -19,6 +19,7 @@ #include "absl/container/flat_hash_set.h" #include "google/protobuf/map.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { @@ -60,6 +61,8 @@ class LabelSelector { explicit LabelSelector( const google::protobuf::Map &label_selector); + rpc::LabelSelector ToProto() const; + void AddConstraint(const std::string &key, const std::string &value); void AddConstraint(LabelConstraint constraint) { @@ -75,4 +78,28 @@ class LabelSelector { std::vector constraints_; }; +inline bool operator==(const LabelConstraint &lhs, const LabelConstraint &rhs) { + return lhs.GetLabelKey() == rhs.GetLabelKey() && + lhs.GetOperator() == rhs.GetOperator() && + lhs.GetLabelValues() == rhs.GetLabelValues(); +} + +inline bool operator==(const LabelSelector &lhs, const LabelSelector &rhs) { + return lhs.GetConstraints() == rhs.GetConstraints(); +} + +template +H AbslHashValue(H h, const LabelSelector &label_selector) { + h = H::combine(std::move(h), label_selector.GetConstraints().size()); + for (const auto &constraint : label_selector.GetConstraints()) { + h = H::combine(std::move(h), + constraint.GetLabelKey(), + static_cast(constraint.GetOperator())); + for (const auto &value : constraint.GetLabelValues()) { + h = H::combine(std::move(h), value); + } + } + return h; +} + } // namespace ray diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index de1fd01cec15..2b8aa51cfd87 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -109,6 +109,10 @@ void TaskSpecification::ComputeResources() { new ResourceSet(MapFromProtobuf(required_placement_resources))); } + // Set LabelSelector required for scheduling if specified. Parses string map + // from proto to LabelSelector data type. + label_selector_ = std::make_shared(message_->label_selector()); + if (!IsActorTask()) { // There is no need to compute `SchedulingClass` for actor tasks since // the actor tasks need not be scheduled. @@ -121,17 +125,17 @@ void TaskSpecification::ComputeResources() { : GetRequiredResources(); const auto &function_descriptor = FunctionDescriptor(); auto depth = GetDepth(); - auto sched_cls_desc = SchedulingClassDescriptor( - resource_set, function_descriptor, depth, GetSchedulingStrategy()); + auto label_selector = GetLabelSelector(); + auto sched_cls_desc = SchedulingClassDescriptor(resource_set, + label_selector, + function_descriptor, + depth, + GetSchedulingStrategy()); // Map the scheduling class descriptor to an integer for performance. sched_cls_id_ = GetSchedulingClass(sched_cls_desc); } runtime_env_hash_ = CalculateRuntimeEnvHash(SerializedRuntimeEnv()); - - // Set LabelSelector required for scheduling if specified. Parses string map - // from proto to LabelSelector data type. - label_selector_ = std::make_shared(message_->label_selector()); } // Task specification getter methods. diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 6b0daae96154..d582241f00c1 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -22,6 +22,7 @@ #include #include +#include "absl/hash/hash.h" #include "absl/synchronization/mutex.h" #include "ray/common/function_descriptor.h" #include "ray/common/grpc_util.h" @@ -76,20 +77,24 @@ typedef int SchedulingClass; struct SchedulingClassDescriptor { public: explicit SchedulingClassDescriptor(ResourceSet rs, + LabelSelector ls, FunctionDescriptor fd, int64_t d, rpc::SchedulingStrategy scheduling_strategy) : resource_set(std::move(rs)), + label_selector(std::move(ls)), function_descriptor(std::move(fd)), depth(d), scheduling_strategy(std::move(scheduling_strategy)) {} ResourceSet resource_set; + LabelSelector label_selector; FunctionDescriptor function_descriptor; int64_t depth; rpc::SchedulingStrategy scheduling_strategy; bool operator==(const SchedulingClassDescriptor &other) const { return depth == other.depth && resource_set == other.resource_set && + label_selector == other.label_selector && function_descriptor == other.function_descriptor && scheduling_strategy == other.scheduling_strategy; } @@ -105,7 +110,21 @@ struct SchedulingClassDescriptor { for (const auto &pair : resource_set.GetResourceMap()) { buffer << pair.first << " : " << pair.second << ", "; } + buffer << "}"; + + buffer << "label_selector={"; + for (const auto &constraint : label_selector.GetConstraints()) { + buffer << constraint.GetLabelKey() << " " + << (constraint.GetOperator() == ray::LabelSelectorOperator::LABEL_IN ? "in" + : "!in") + << " ("; + for (const auto &val : constraint.GetLabelValues()) { + buffer << val << ", "; + } + buffer << "), "; + } buffer << "}}"; + return buffer.str(); } @@ -119,6 +138,16 @@ struct SchedulingClassDescriptor { return buffer.str(); } }; + +template +H AbslHashValue(H h, const SchedulingClassDescriptor &sched_cls) { + return H::combine(std::move(h), + sched_cls.resource_set, + sched_cls.function_descriptor->Hash(), + sched_cls.depth, + sched_cls.scheduling_strategy, + sched_cls.label_selector); +} } // namespace ray namespace std { @@ -201,17 +230,6 @@ struct hash { return hash_val; } }; - -template <> -struct hash { - size_t operator()(const ray::SchedulingClassDescriptor &sched_cls) const { - size_t hash_val = std::hash()(sched_cls.resource_set); - hash_val ^= sched_cls.function_descriptor->Hash(); - hash_val ^= sched_cls.depth; - hash_val ^= std::hash()(sched_cls.scheduling_strategy); - return hash_val; - } -}; } // namespace std namespace ray { diff --git a/src/ray/common/test/task_spec_test.cc b/src/ray/common/test/task_spec_test.cc index 17cf508f48cf..2876faa20011 100644 --- a/src/ray/common/test/task_spec_test.cc +++ b/src/ray/common/test/task_spec_test.cc @@ -23,89 +23,99 @@ TEST(TaskSpecTest, TestSchedulingClassDescriptor) { ResourceSet resources(absl::flat_hash_map({{"a", 1.0}})); rpc::SchedulingStrategy scheduling_strategy; scheduling_strategy.mutable_spread_scheduling_strategy(); - SchedulingClassDescriptor descriptor1(resources, descriptor, 0, scheduling_strategy); - SchedulingClassDescriptor descriptor2(resources, descriptor, 1, scheduling_strategy); + SchedulingClassDescriptor descriptor1( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor2( + resources, LabelSelector(), descriptor, 1, scheduling_strategy); scheduling_strategy.mutable_default_scheduling_strategy(); - SchedulingClassDescriptor descriptor3(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor3( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id("x"); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_soft(true); - SchedulingClassDescriptor descriptor4(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor4( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id("y"); - SchedulingClassDescriptor descriptor5(resources, descriptor, 0, scheduling_strategy); - SchedulingClassDescriptor descriptor6(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor5( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor6( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_node_affinity_scheduling_strategy() ->set_spill_on_unavailable(true); - SchedulingClassDescriptor descriptor10(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor10( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_placement_group_scheduling_strategy() ->set_placement_group_id("o"); scheduling_strategy.mutable_placement_group_scheduling_strategy() ->set_placement_group_bundle_index(0); scheduling_strategy.mutable_placement_group_scheduling_strategy() ->set_placement_group_capture_child_tasks(true); - SchedulingClassDescriptor descriptor7(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor7( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_placement_group_scheduling_strategy() ->set_placement_group_bundle_index(1); - SchedulingClassDescriptor descriptor8(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor8( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); scheduling_strategy.mutable_placement_group_scheduling_strategy() ->set_placement_group_bundle_index(0); - SchedulingClassDescriptor descriptor9(resources, descriptor, 0, scheduling_strategy); + SchedulingClassDescriptor descriptor9( + resources, LabelSelector(), descriptor, 0, scheduling_strategy); ASSERT_TRUE(descriptor1 == descriptor1); - ASSERT_TRUE(std::hash()(descriptor1) == - std::hash()(descriptor1)); + ASSERT_TRUE(absl::Hash()(descriptor1) == + absl::Hash()(descriptor1)); ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor1) == TaskSpecification::GetSchedulingClass(descriptor1)); ASSERT_FALSE(descriptor1 == descriptor2); - ASSERT_FALSE(std::hash()(descriptor1) == - std::hash()(descriptor2)); + ASSERT_FALSE(absl::Hash()(descriptor1) == + absl::Hash()(descriptor2)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == TaskSpecification::GetSchedulingClass(descriptor2)); ASSERT_FALSE(descriptor1 == descriptor3); - ASSERT_FALSE(std::hash()(descriptor1) == - std::hash()(descriptor3)); + ASSERT_FALSE(absl::Hash()(descriptor1) == + absl::Hash()(descriptor3)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == TaskSpecification::GetSchedulingClass(descriptor3)); ASSERT_FALSE(descriptor1 == descriptor4); - ASSERT_FALSE(std::hash()(descriptor1) == - std::hash()(descriptor4)); + ASSERT_FALSE(absl::Hash()(descriptor1) == + absl::Hash()(descriptor4)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == TaskSpecification::GetSchedulingClass(descriptor4)); ASSERT_FALSE(descriptor4 == descriptor5); - ASSERT_FALSE(std::hash()(descriptor4) == - std::hash()(descriptor5)); + ASSERT_FALSE(absl::Hash()(descriptor4) == + absl::Hash()(descriptor5)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor4) == TaskSpecification::GetSchedulingClass(descriptor5)); ASSERT_TRUE(descriptor5 == descriptor6); - ASSERT_TRUE(std::hash()(descriptor5) == - std::hash()(descriptor6)); + ASSERT_TRUE(absl::Hash()(descriptor5) == + absl::Hash()(descriptor6)); ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor5) == TaskSpecification::GetSchedulingClass(descriptor6)); ASSERT_FALSE(descriptor6 == descriptor10); - ASSERT_FALSE(std::hash()(descriptor6) == - std::hash()(descriptor10)); + ASSERT_FALSE(absl::Hash()(descriptor6) == + absl::Hash()(descriptor10)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor6) == TaskSpecification::GetSchedulingClass(descriptor10)); ASSERT_FALSE(descriptor6 == descriptor7); - ASSERT_FALSE(std::hash()(descriptor6) == - std::hash()(descriptor7)); + ASSERT_FALSE(absl::Hash()(descriptor6) == + absl::Hash()(descriptor7)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor6) == TaskSpecification::GetSchedulingClass(descriptor7)); ASSERT_FALSE(descriptor7 == descriptor8); - ASSERT_FALSE(std::hash()(descriptor7) == - std::hash()(descriptor8)); + ASSERT_FALSE(absl::Hash()(descriptor7) == + absl::Hash()(descriptor8)); ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor7) == TaskSpecification::GetSchedulingClass(descriptor8)); ASSERT_TRUE(descriptor7 == descriptor9); - ASSERT_TRUE(std::hash()(descriptor7) == - std::hash()(descriptor9)); + ASSERT_TRUE(absl::Hash()(descriptor7) == + absl::Hash()(descriptor9)); ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor7) == TaskSpecification::GetSchedulingClass(descriptor9)); } @@ -270,10 +280,10 @@ TEST(TaskSpecTest, TestNodeLabelSchedulingStrategy) { expr_2->set_key("key"); expr_2->mutable_operator_()->mutable_label_in()->add_values("value1"); - ASSERT_TRUE(std::hash()(scheduling_strategy_1) == - std::hash()(scheduling_strategy_1)); - ASSERT_TRUE(std::hash()(scheduling_strategy_1) == - std::hash()(scheduling_strategy_2)); + ASSERT_TRUE(absl::Hash()(scheduling_strategy_1) == + absl::Hash()(scheduling_strategy_1)); + ASSERT_TRUE(absl::Hash()(scheduling_strategy_1) == + absl::Hash()(scheduling_strategy_2)); rpc::SchedulingStrategy scheduling_strategy_3; auto expr_3 = scheduling_strategy_3.mutable_node_label_scheduling_strategy() @@ -281,8 +291,8 @@ TEST(TaskSpecTest, TestNodeLabelSchedulingStrategy) { ->add_expressions(); expr_3->set_key("key"); expr_3->mutable_operator_()->mutable_label_in()->add_values("value1"); - ASSERT_FALSE(std::hash()(scheduling_strategy_1) == - std::hash()(scheduling_strategy_3)); + ASSERT_FALSE(absl::Hash()(scheduling_strategy_1) == + absl::Hash()(scheduling_strategy_3)); rpc::SchedulingStrategy scheduling_strategy_4; auto expr_4 = scheduling_strategy_4.mutable_node_label_scheduling_strategy() @@ -292,8 +302,8 @@ TEST(TaskSpecTest, TestNodeLabelSchedulingStrategy) { expr_4->mutable_operator_()->mutable_label_in()->add_values("value1"); expr_4->mutable_operator_()->mutable_label_in()->add_values("value2"); - ASSERT_FALSE(std::hash()(scheduling_strategy_1) == - std::hash()(scheduling_strategy_4)); + ASSERT_FALSE(absl::Hash()(scheduling_strategy_1) == + absl::Hash()(scheduling_strategy_4)); rpc::SchedulingStrategy scheduling_strategy_5; auto expr_5 = scheduling_strategy_5.mutable_node_label_scheduling_strategy() @@ -302,7 +312,7 @@ TEST(TaskSpecTest, TestNodeLabelSchedulingStrategy) { expr_5->set_key("key"); expr_5->mutable_operator_()->mutable_label_not_in()->add_values("value1"); - ASSERT_FALSE(std::hash()(scheduling_strategy_1) == - std::hash()(scheduling_strategy_5)); + ASSERT_FALSE(absl::Hash()(scheduling_strategy_1) == + absl::Hash()(scheduling_strategy_5)); } } // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index c61a51b0c7c5..61351135ac3f 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -22,6 +22,7 @@ #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pb_util.h" namespace ray { @@ -229,14 +230,31 @@ void GcsAutoscalerStateManager::GetPendingGangResourceRequests( // to node crashed. continue; } - // Add the resources. - auto resource_req = gang_resource_req->add_requests(); - *resource_req->mutable_resources_bundle() = - std::move(*bundle.mutable_unit_resources()); + + const auto &unit_resources = bundle.unit_resources(); + + // Add the resources. This field will be removed after migrating to + // use the BundleSelector for GangResourceRequests. + auto legacy_resource_req = gang_resource_req->add_requests(); + *legacy_resource_req->mutable_resources_bundle() = unit_resources; + + // Create a new BundleSelector + auto *bundle_selector = gang_resource_req->add_bundle_selectors(); + + // Add ResourceRequest for this bundle. + auto *bundle_resource_req = bundle_selector->add_resource_requests(); + *bundle_resource_req->mutable_resources_bundle() = unit_resources; + + // Parse label selector map into LabelSelector proto in ResourceRequest + if (!bundle.label_selector().empty()) { + ray::LabelSelector selector(bundle.label_selector()); + *bundle_resource_req->add_label_selectors() = selector.ToProto(); + } // Add the placement constraint. if (pg_constraint.has_value()) { - resource_req->add_placement_constraints()->CopyFrom(pg_constraint.value()); + legacy_resource_req->add_placement_constraints()->CopyFrom(pg_constraint.value()); + bundle_resource_req->add_placement_constraints()->CopyFrom(pg_constraint.value()); } } } @@ -262,6 +280,8 @@ void GcsAutoscalerStateManager::OnNodeAdd(const rpc::GcsNodeInfo &node) { // autoscaler reports). Temporary underreporting when node is added is fine. (*node_info->second.second.mutable_resources_total()) = node.resources_total(); (*node_info->second.second.mutable_resources_available()) = node.resources_total(); + // Populate node labels. + (*node_info->second.second.mutable_labels()) = node.labels(); } void GcsAutoscalerStateManager::UpdateResourceLoadAndUsage(rpc::ResourcesData data) { @@ -280,11 +300,10 @@ void GcsAutoscalerStateManager::UpdateResourceLoadAndUsage(rpc::ResourcesData da iter->second.first = absl::Now(); } -absl::flat_hash_map, rpc::ResourceDemand> +absl::flat_hash_map GcsAutoscalerStateManager::GetAggregatedResourceLoad() const { RAY_CHECK(thread_checker_.IsOnSameThread()); - absl::flat_hash_map, rpc::ResourceDemand> - aggregate_load; + absl::flat_hash_map aggregate_load; for (const auto &info : node_resource_info_) { gcs::FillAggregateLoad(info.second.second, &aggregate_load); } @@ -304,7 +323,9 @@ void GcsAutoscalerStateManager::GetPendingResourceRequests( rpc::autoscaler::ClusterResourceState *state) { RAY_CHECK(thread_checker_.IsOnSameThread()); auto aggregate_load = GetAggregatedResourceLoad(); - for (const auto &[shape, demand] : aggregate_load) { + for (auto &[key, demand] : aggregate_load) { + const auto &shape = key.shape; + auto num_pending = demand.num_infeasible_requests_queued() + demand.backlog_size() + demand.num_ready_requests_queued(); if (num_pending > 0) { @@ -312,6 +333,11 @@ void GcsAutoscalerStateManager::GetPendingResourceRequests( pending_req->set_count(num_pending); auto req = pending_req->mutable_request(); req->mutable_resources_bundle()->insert(shape.begin(), shape.end()); + + // Add label selectors to ResourceRequest + for (auto &selector : key.label_selectors) { + *req->add_label_selectors() = std::move(selector); + } } } } @@ -390,6 +416,9 @@ void GcsAutoscalerStateManager::GetNodeStates( node_state_proto->mutable_dynamic_labels()->insert( {FormatPlacementGroupLabelName(pg_id.Hex()), ""}); } + // Add Ray node labels. + const auto &node_labels = gcs_node_info.labels(); + node_state_proto->mutable_labels()->insert(node_labels.begin(), node_labels.end()); }; const auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); @@ -482,14 +511,35 @@ std::string GcsAutoscalerStateManager::DebugString() const { << last_cluster_resource_state_version_ << "\n- pending demands:\n"; auto aggregate_load = GetAggregatedResourceLoad(); - for (const auto &[shape, demand] : aggregate_load) { + for (const auto &[key, demand] : aggregate_load) { auto num_pending = demand.num_infeasible_requests_queued() + demand.backlog_size() + demand.num_ready_requests_queued(); stream << "\t{"; if (num_pending > 0) { - for (const auto &[resource, quantity] : shape) { - stream << resource << ": " << quantity << ", "; + for (const auto &entry : key.shape) { + stream << entry.first << ": " << entry.second << ", "; + } + if (!key.label_selectors.empty()) { + stream << "label_selectors: ["; + for (const auto &selector : key.label_selectors) { + stream << "{"; + for (const auto &constraint : selector.label_constraints()) { + stream << constraint.label_key() << " " + << (constraint.operator_() == + rpc::LabelSelectorOperator::LABEL_OPERATOR_IN + ? "in" + : "!in") + << " ["; + for (const auto &val : constraint.label_values()) { + stream << val << ","; + } + stream << "]" + << " "; + } + stream << "}, "; + } + stream << "]"; } } stream << "} * " << num_pending << "\n"; diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index 6d364641fe08..f6aba575c206 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -21,6 +21,7 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/gcs_server/gcs_rpc_server.h" #include "ray/rpc/node_manager/raylet_client_pool.h" @@ -92,8 +93,8 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateHandler private: /// \brief Get the aggregated resource load from all nodes. - absl::flat_hash_map, rpc::ResourceDemand> - GetAggregatedResourceLoad() const; + absl::flat_hash_map GetAggregatedResourceLoad() + const; /// \brief Internal method for populating the rpc::ClusterResourceState /// protobuf. diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_server/gcs_resource_manager.cc index 75dbcc33349e..088c32cc2b15 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.cc @@ -191,8 +191,7 @@ void GcsResourceManager::HandleGetAllResourceUsage( rpc::SendReplyCallback send_reply_callback) { if (!node_resource_usages_.empty()) { rpc::ResourceUsageBatchData batch; - absl::flat_hash_map, rpc::ResourceDemand> - aggregate_load; + absl::flat_hash_map aggregate_load; for (const auto &usage : node_resource_usages_) { // Aggregate the load reported by each raylet. @@ -217,9 +216,12 @@ void GcsResourceManager::HandleGetAllResourceUsage( for (const auto &demand : aggregate_load) { auto demand_proto = batch.mutable_resource_load_by_shape()->add_resource_demands(); demand_proto->CopyFrom(demand.second); - for (const auto &resource_pair : demand.first) { + for (const auto &resource_pair : demand.first.shape) { (*demand_proto->mutable_shape())[resource_pair.first] = resource_pair.second; } + for (auto &selector : demand.first.label_selectors) { + *demand_proto->add_label_selectors() = std::move(selector); + } } // Update placement group load to heartbeat batch. // This is updated only one per second. diff --git a/src/ray/gcs/gcs_server/state_util.cc b/src/ray/gcs/gcs_server/state_util.cc index e7505836b367..b1f41b393682 100644 --- a/src/ray/gcs/gcs_server/state_util.cc +++ b/src/ray/gcs/gcs_server/state_util.cc @@ -19,12 +19,19 @@ namespace ray { namespace gcs { -void FillAggregateLoad(const rpc::ResourcesData &resources_data, - absl::flat_hash_map, - rpc::ResourceDemand> *aggregate_load) { +void FillAggregateLoad( + const rpc::ResourcesData &resources_data, + absl::flat_hash_map *aggregate_load) { const auto &load = resources_data.resource_load_by_shape(); for (const auto &demand : load.resource_demands()) { - auto &aggregate_demand = (*aggregate_load)[demand.shape()]; + ResourceDemandKey key; + key.shape = demand.shape(); + + key.label_selectors.reserve(demand.label_selectors().size()); + for (const auto &selector : demand.label_selectors()) { + key.label_selectors.push_back(selector); + } + auto &aggregate_demand = (*aggregate_load)[key]; aggregate_demand.set_num_ready_requests_queued( aggregate_demand.num_ready_requests_queued() + demand.num_ready_requests_queued()); diff --git a/src/ray/gcs/gcs_server/state_util.h b/src/ray/gcs/gcs_server/state_util.h index 186ce4a8c388..38dc625969ea 100644 --- a/src/ray/gcs/gcs_server/state_util.h +++ b/src/ray/gcs/gcs_server/state_util.h @@ -17,8 +17,63 @@ #include #include "absl/container/flat_hash_map.h" +#include "absl/hash/hash.h" #include "src/ray/protobuf/gcs.pb.h" +namespace ray { +namespace gcs { + +struct ResourceDemandKey { + google::protobuf::Map shape; + std::vector label_selectors; +}; + +inline bool operator==(const ResourceDemandKey &lhs, const ResourceDemandKey &rhs) { + if (lhs.shape.size() != rhs.shape.size()) { + return false; + } + for (const auto &entry : lhs.shape) { + auto it = rhs.shape.find(entry.first); + if (it == rhs.shape.end() || it->second != entry.second) { + return false; + } + } + + if (lhs.label_selectors.size() != rhs.label_selectors.size()) { + return false; + } + for (size_t i = 0; i < lhs.label_selectors.size(); ++i) { + if (lhs.label_selectors[i].SerializeAsString() != + rhs.label_selectors[i].SerializeAsString()) { + return false; + } + } + return true; +} + +template +H AbslHashValue(H h, const ResourceDemandKey &key); + +/// Aggregate nodes' pending task info. +/// +/// \param resources_data A node's pending task info (by shape). +/// \param aggregate_load[out] The aggregate pending task info (across the cluster). +void FillAggregateLoad( + const rpc::ResourcesData &resources_data, + absl::flat_hash_map *aggregate_load); + +} // namespace gcs +} // namespace ray + +template +H ray::gcs::AbslHashValue(H h, const ray::gcs::ResourceDemandKey &key) { + h = H::combine(std::move(h), key.shape); + for (const auto &selector : key.label_selectors) { + h = H::combine(std::move(h), selector.SerializeAsString()); + } + return h; +} + namespace std { template <> struct hash> { @@ -48,17 +103,11 @@ struct equal_to> { return true; } }; -} // namespace std - -namespace ray { -namespace gcs { -/// Aggregate nodes' pending task info. -/// -/// \param resources_data A node's pending task info (by shape). -/// \param aggregate_load[out] The aggregate pending task info (across the cluster). -void FillAggregateLoad(const rpc::ResourcesData &resources_data, - absl::flat_hash_map, - rpc::ResourceDemand> *aggregate_load); -} // namespace gcs -} // namespace ray +template <> +struct hash { + size_t operator()(const ray::gcs::ResourceDemandKey &k) const { + return absl::Hash{}(k); + } +}; +} // namespace std diff --git a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc index 8761e74286de..6a2bd18224d2 100644 --- a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc @@ -141,6 +141,15 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { void CheckNodeLabels(const rpc::autoscaler::NodeState &node_state, const std::unordered_map &labels) { + ASSERT_EQ(node_state.labels_size(), labels.size()); + for (const auto &label : labels) { + ASSERT_EQ(node_state.labels().at(label.first), label.second); + } + } + + void CheckNodeDynamicLabels( + const rpc::autoscaler::NodeState &node_state, + const std::unordered_map &labels) { ASSERT_EQ(node_state.dynamic_labels_size(), labels.size()); for (const auto &label : labels) { ASSERT_EQ(node_state.dynamic_labels().at(label.first), label.second); @@ -469,9 +478,9 @@ TEST_F(GcsAutoscalerStateManagerTest, TestNodeDynamicLabelsWithPG) { const auto &state = GetClusterResourceStateSync(); ASSERT_EQ(state.node_states_size(), 1); - CheckNodeLabels(state.node_states(0), - {{FormatPlacementGroupLabelName(pg1.Hex()), ""}, - {FormatPlacementGroupLabelName(pg2.Hex()), ""}}); + CheckNodeDynamicLabels(state.node_states(0), + {{FormatPlacementGroupLabelName(pg1.Hex()), ""}, + {FormatPlacementGroupLabelName(pg2.Hex()), ""}}); } } @@ -495,11 +504,13 @@ TEST_F(GcsAutoscalerStateManagerTest, TestBasicResourceRequests) { {Mocker::GenResourceDemand({{"CPU", 1}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 1, - /* num_backlog */ 0), + /* num_backlog */ 0, + /* label_selectors */ {}), Mocker::GenResourceDemand({{"CPU", 4}, {"GPU", 2}}, /* num_ready_queued */ 0, /* num_infeasible */ 1, - /* num_backlog */ 1)}); + /* num_backlog */ 1, + /* label_selectors */ {})}); const auto &state = GetClusterResourceStateSync(); // Expect each pending resources shape to be num_infeasible + num_backlog. @@ -887,20 +898,24 @@ TEST_F(GcsAutoscalerStateManagerTest, {Mocker::GenResourceDemand({{"GPU", 1}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 1, - /* num_backlog */ 0), + /* num_backlog */ 0, + /* label_selectors */ {}), Mocker::GenResourceDemand({{"CPU", 1}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 0, - /* num_backlog */ 1), + /* num_backlog */ 1, + /* label_selectors */ {}), Mocker::GenResourceDemand({{"CPU", 3}}, /* num_ready_queued */ 0, /* num_infeasible */ 1, - /* num_backlog */ 1)}); + /* num_backlog */ 1, + /* label_selectors */ {})}); UpdateResourceLoads(node_2->node_id(), {Mocker::GenResourceDemand({{"CPU", 2}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 0, - /* num_backlog */ 1)}); + /* num_backlog */ 1, + /* label_selectors */ {})}); } // Update autoscaling state @@ -947,19 +962,23 @@ TEST_F(GcsAutoscalerStateManagerTest, /* nun_ready_queued */ 1, /* nun_infeasible */ 1, /* num_backlog */ 0), + /* label_selectors */ {}, Mocker::GenResourceDemand({{"CPU", 1}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 0, /* num_backlog */ 1), + /* label_selectors */ {}, Mocker::GenResourceDemand({{"CPU", 3}}, /* num_ready_queued */ 0, /* num_infeasible */ 1, - /* num_backlog */ 1)}); + /* num_backlog */ 1, + /* label_selectors */ {})}); UpdateResourceLoads(node_2->node_id(), {Mocker::GenResourceDemand({{"CPU", 2}}, /* nun_ready_queued */ 1, /* nun_infeasible */ 0, - /* num_backlog */ 1)}); + /* num_backlog */ 1, + /* label_selectors */ {})}); } // Update autoscaling state @@ -1001,5 +1020,136 @@ TEST_F(GcsAutoscalerStateManagerTest, } } +TEST_F(GcsAutoscalerStateManagerTest, TestNodeLabelsAdded) { + auto node = Mocker::GenNodeInfo(); + node->mutable_resources_total()->insert({"CPU", 2}); + node->set_instance_id("instance_1"); + (*node->mutable_labels())["accelerator-type"] = "TPU"; + (*node->mutable_labels())["region"] = "us-central1"; + AddNode(node); + + const auto &state = GetClusterResourceStateSync(); + ASSERT_EQ(state.node_states_size(), 1); + + CheckNodeLabels(state.node_states(0), + {{"accelerator-type", "TPU"}, {"region", "us-central1"}}); +} + +TEST_F(GcsAutoscalerStateManagerTest, TestGetPendingResourceRequestsWithLabelSelectors) { + auto node = Mocker::GenNodeInfo(); + node->mutable_resources_total()->insert({"CPU", 2}); + node->set_instance_id("instance_1"); + AddNode(node); + + // Add label selector to ResourceDemand + { + rpc::LabelSelector selector; + + auto add_constraint = [&](const std::string &key, + rpc::LabelSelectorOperator op, + const std::string &value) { + auto *constraint = selector.add_label_constraints(); + constraint->set_label_key(key); + constraint->set_operator_(op); + constraint->add_label_values(value); + }; + + add_constraint("accelerator-type", rpc::LABEL_OPERATOR_IN, "TPU"); + add_constraint("node-group", rpc::LABEL_OPERATOR_NOT_IN, "gpu-group"); + add_constraint("market-type", rpc::LABEL_OPERATOR_IN, "spot"); + add_constraint("region", rpc::LABEL_OPERATOR_NOT_IN, "us-west4"); + + // Simulate an infeasible request with a label selector + UpdateResourceLoads(node->node_id(), + {Mocker::GenResourceDemand({{"CPU", 2}}, + /*ready=*/0, + /*infeasible=*/1, + /*backlog=*/0, + {selector})}); + } + + // Validate the cluster state includes the generated pending request + { + const auto &state = GetClusterResourceStateSync(); + ASSERT_EQ(state.pending_resource_requests_size(), 1); + + const auto &req = state.pending_resource_requests(0); + ASSERT_EQ(req.count(), 1); + CheckResourceRequest(req.request(), {{"CPU", 2}}); + + std::unordered_map> + expected_vals = { + {"accelerator-type", {rpc::LABEL_OPERATOR_IN, "TPU"}}, + {"node-group", {rpc::LABEL_OPERATOR_NOT_IN, "gpu-group"}}, + {"market-type", {rpc::LABEL_OPERATOR_IN, "spot"}}, + {"region", {rpc::LABEL_OPERATOR_NOT_IN, "us-west4"}}, + }; + + ASSERT_EQ(req.request().label_selectors_size(), 1); + const auto &parsed_selector = req.request().label_selectors(0); + ASSERT_EQ(parsed_selector.label_constraints_size(), expected_vals.size()); + + for (const auto &constraint : parsed_selector.label_constraints()) { + const auto it = expected_vals.find(constraint.label_key()); + ASSERT_NE(it, expected_vals.end()) + << "Unexpected label key: " << constraint.label_key(); + ASSERT_EQ(constraint.operator_(), it->second.first); + ASSERT_EQ(constraint.label_values_size(), 1); + ASSERT_EQ(constraint.label_values(0), it->second.second); + } + } +} + +TEST_F(GcsAutoscalerStateManagerTest, + TestGetPendingGangResourceRequestsWithBundleSelectors) { + rpc::PlacementGroupLoad load; + + // Create PG with two bundles with different label selectors + auto *pg_data = load.add_placement_group_data(); + pg_data->set_state(rpc::PlacementGroupTableData::PENDING); + auto pg_id = PlacementGroupID::Of(JobID::FromInt(1)); + pg_data->set_placement_group_id(pg_id.Binary()); + + auto *bundle1 = pg_data->add_bundles(); + (*bundle1->mutable_unit_resources())["CPU"] = 2; + (*bundle1->mutable_unit_resources())["GPU"] = 1; + (*bundle1->mutable_label_selector())["accelerator"] = "in(A100,B200)"; + + auto *bundle2 = pg_data->add_bundles(); + (*bundle2->mutable_unit_resources())["CPU"] = 4; + (*bundle2->mutable_label_selector())["accelerator"] = "!in(TPU)"; + + EXPECT_CALL(*gcs_placement_group_manager_, GetPlacementGroupLoad) + .WillOnce(Return(std::make_shared(std::move(load)))); + + const auto &state = GetClusterResourceStateSync(); + const auto &requests = state.pending_gang_resource_requests(); + ASSERT_EQ(requests.size(), 1); + + const auto &req = requests.Get(0); + ASSERT_EQ(req.bundle_selectors_size(), 2); + + const auto &r1 = req.bundle_selectors(0).resource_requests(0); + const auto &r2 = req.bundle_selectors(1).resource_requests(0); + + ASSERT_EQ(r1.label_selectors_size(), 1); + ASSERT_EQ(r2.label_selectors_size(), 1); + + const auto &c1 = r1.label_selectors(0).label_constraints(0); + const auto &c2 = r2.label_selectors(0).label_constraints(0); + + EXPECT_EQ(c1.label_key(), "accelerator"); + EXPECT_EQ(c1.operator_(), rpc::LabelSelectorOperator::LABEL_OPERATOR_IN); + ASSERT_EQ(c1.label_values_size(), 2); + EXPECT_THAT(absl::flat_hash_set(c1.label_values().begin(), + c1.label_values().end()), + ::testing::UnorderedElementsAre("A100", "B200")); + + EXPECT_EQ(c2.label_key(), "accelerator"); + EXPECT_EQ(c2.operator_(), rpc::LabelSelectorOperator::LABEL_OPERATOR_NOT_IN); + ASSERT_EQ(c2.label_values_size(), 1); + EXPECT_EQ(c2.label_values(0), "TPU"); +} + } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/test/gcs_test_util.h b/src/ray/gcs/test/gcs_test_util.h index fd46de5f3df0..56379b5a1154 100644 --- a/src/ray/gcs/test/gcs_test_util.h +++ b/src/ray/gcs/test/gcs_test_util.h @@ -327,7 +327,8 @@ struct Mocker { const absl::flat_hash_map &resource_demands, int64_t num_ready_queued, int64_t num_infeasible, - int64_t num_backlog) { + int64_t num_backlog, + const std::vector &label_selectors = {}) { rpc::ResourceDemand resource_demand; for (const auto &resource : resource_demands) { (*resource_demand.mutable_shape())[resource.first] = resource.second; @@ -335,6 +336,9 @@ struct Mocker { resource_demand.set_num_ready_requests_queued(num_ready_queued); resource_demand.set_num_infeasible_requests_queued(num_infeasible); resource_demand.set_backlog_size(num_backlog); + for (const auto &selector : label_selectors) { + *resource_demand.add_label_selectors() = selector; + } return resource_demand; } diff --git a/src/ray/protobuf/BUILD b/src/ray/protobuf/BUILD index d45cb48fd04d..9a91cdee0c05 100644 --- a/src/ray/protobuf/BUILD +++ b/src/ray/protobuf/BUILD @@ -351,6 +351,10 @@ cc_proto_library( proto_library( name = "autoscaler_proto", srcs = ["autoscaler.proto"], + deps = [ + ":common_proto", + ":runtime_env_common_proto", + ], ) cc_proto_library( diff --git a/src/ray/protobuf/autoscaler.proto b/src/ray/protobuf/autoscaler.proto index c9faadbb3490..9ad2ef7b191c 100644 --- a/src/ray/protobuf/autoscaler.proto +++ b/src/ray/protobuf/autoscaler.proto @@ -16,6 +16,8 @@ syntax = "proto3"; package ray.rpc.autoscaler; +import "src/ray/protobuf/common.proto"; + // ============= Cluster Resources ==================== // // Following fields represents the Cluster Resources autoscaler interested @@ -51,32 +53,6 @@ message PlacementConstraint { optional AffinityConstraint affinity = 2; } -// The type of operator to use for the label constraint. -enum LabelOperator { - LABEL_OPERATOR_UNSPECIFIED = 0; - // This is to support equality or in semantics. - LABEL_OPERATOR_IN = 1; - // This is to support not equal or not in semantics. - LABEL_OPERATOR_NOT_IN = 2; -} - -// A node label constraint with a key, one or a list of values and an operator. -message LabelConstraint { - // The key of the label - string label_key = 1; - // The operator to use for the label constraint. - LabelOperator operator = 2; - // The values to check against. - repeated string label_values = 3; -} - -// A list of node label constraints to specify the label requirements in a -// resource request. -message LabelSelector { - // The list of node label constraints with AND semantics. - repeated LabelConstraint label_constraints = 1; -} - message ResourceRequest { // resource requirements for the request. map resources_bundle = 1; @@ -195,6 +171,10 @@ message NodeState { // Observability debug string describing why the node is not idle. repeated string node_activity = 12; + + // Labels associated with this node. `ray.io/` labels set by + // default by Ray or specified by the user at node init. + map labels = 13; } // ============= Autoscaling State Service API ======================= diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 5774cd36f78f..bd59d4d3732b 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -615,10 +615,6 @@ message TaskInfoEntry { map label_selector = 28; } -message LabelSelector { - map label_selector_dict = 1; -} - message TaskAttempt { // The task id of the task attempt. bytes task_id = 1; @@ -1029,6 +1025,32 @@ enum PlacementStrategy { // The group is not allowed to deploy more than one bundle on a node. STRICT_SPREAD = 3; } + +// The type of operator to use for the label constraint. +enum LabelSelectorOperator { + // This is to support equality or in semantics. + LABEL_OPERATOR_IN = 0; + // This is to support not equal or not in semantics. + LABEL_OPERATOR_NOT_IN = 1; +} + +// A node label constraint with a key, one or a list of values and an operator. +message LabelSelectorConstraint { + // The key of the label + string label_key = 1; + // The operator to use for the label constraint. + LabelSelectorOperator operator = 2; + // The values to check against. + repeated string label_values = 3; +} + +// A list of node label constraints to specify the label requirements in a +// resource request. +message LabelSelector { + // The list of node label constraints with AND semantics. + repeated LabelSelectorConstraint label_constraints = 1; +} + /////////////////////////////////////////////////////////////////////////////// // Info about a named actor. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index f3acd695f704..8dbbc8cbb3fd 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -493,6 +493,8 @@ message ResourceDemand { // The number of requests of this shape still queued in CoreWorkers that this // raylet knows about. int64 backlog_size = 4; + // The label selector constraints for this Resource shape on a node. + repeated LabelSelector label_selectors = 5; } // Represents the demand sorted by resource shape. @@ -539,6 +541,8 @@ message ResourcesData { // The value is the timestamp when // the node will be force killed. int64 draining_deadline_timestamp_ms = 18; + // Te key-value labels of this node. + map labels = 19; } message ResourceUsageBatchData { diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc index 6704c7f2dc25..0523851724a0 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc @@ -96,6 +96,7 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons } const auto &resources = scheduling_class_descriptor.resource_set.GetResourceMap(); + const auto &label_selectors = scheduling_class_descriptor.label_selector; auto by_shape_entry = resource_load_by_shape->Add(); for (const auto &resource : resources) { @@ -110,6 +111,9 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons (*by_shape_entry->mutable_shape())[label] = quantity; } + // Add label selectors + *by_shape_entry->add_label_selectors() = label_selectors.ToProto(); + if (is_infeasible) { by_shape_entry->set_num_infeasible_requests_queued(count); } else { From 29f62cd7ed67818ba74bb727271772e1f105add7 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 29 Jul 2025 23:45:32 -0700 Subject: [PATCH 0394/1566] [ci] rename src & thirdparty BUILD files to BUILD.bazel (#55033) so that the convention of bazel build file filenames are unified across the repository Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/common/{BUILD => BUILD.bazel} | 0 src/ray/common/cgroup/{BUILD => BUILD.bazel} | 0 src/ray/common/cgroup/test/{BUILD => BUILD.bazel} | 0 src/ray/common/test/{BUILD => BUILD.bazel} | 0 src/ray/protobuf/{BUILD => BUILD.bazel} | 0 src/ray/stats/tests/{BUILD => BUILD.bazel} | 0 src/ray/telemetry/tests/{BUILD => BUILD.bazel} | 0 src/ray/util/{BUILD => BUILD.bazel} | 0 src/ray/util/internal/{BUILD => BUILD.bazel} | 0 src/ray/util/internal/tests/{BUILD => BUILD.bazel} | 0 src/ray/util/tests/{BUILD => BUILD.bazel} | 0 thirdparty/patches/{BUILD => BUILD.bazel} | 0 12 files changed, 0 insertions(+), 0 deletions(-) rename src/ray/common/{BUILD => BUILD.bazel} (100%) rename src/ray/common/cgroup/{BUILD => BUILD.bazel} (100%) rename src/ray/common/cgroup/test/{BUILD => BUILD.bazel} (100%) rename src/ray/common/test/{BUILD => BUILD.bazel} (100%) rename src/ray/protobuf/{BUILD => BUILD.bazel} (100%) rename src/ray/stats/tests/{BUILD => BUILD.bazel} (100%) rename src/ray/telemetry/tests/{BUILD => BUILD.bazel} (100%) rename src/ray/util/{BUILD => BUILD.bazel} (100%) rename src/ray/util/internal/{BUILD => BUILD.bazel} (100%) rename src/ray/util/internal/tests/{BUILD => BUILD.bazel} (100%) rename src/ray/util/tests/{BUILD => BUILD.bazel} (100%) rename thirdparty/patches/{BUILD => BUILD.bazel} (100%) diff --git a/src/ray/common/BUILD b/src/ray/common/BUILD.bazel similarity index 100% rename from src/ray/common/BUILD rename to src/ray/common/BUILD.bazel diff --git a/src/ray/common/cgroup/BUILD b/src/ray/common/cgroup/BUILD.bazel similarity index 100% rename from src/ray/common/cgroup/BUILD rename to src/ray/common/cgroup/BUILD.bazel diff --git a/src/ray/common/cgroup/test/BUILD b/src/ray/common/cgroup/test/BUILD.bazel similarity index 100% rename from src/ray/common/cgroup/test/BUILD rename to src/ray/common/cgroup/test/BUILD.bazel diff --git a/src/ray/common/test/BUILD b/src/ray/common/test/BUILD.bazel similarity index 100% rename from src/ray/common/test/BUILD rename to src/ray/common/test/BUILD.bazel diff --git a/src/ray/protobuf/BUILD b/src/ray/protobuf/BUILD.bazel similarity index 100% rename from src/ray/protobuf/BUILD rename to src/ray/protobuf/BUILD.bazel diff --git a/src/ray/stats/tests/BUILD b/src/ray/stats/tests/BUILD.bazel similarity index 100% rename from src/ray/stats/tests/BUILD rename to src/ray/stats/tests/BUILD.bazel diff --git a/src/ray/telemetry/tests/BUILD b/src/ray/telemetry/tests/BUILD.bazel similarity index 100% rename from src/ray/telemetry/tests/BUILD rename to src/ray/telemetry/tests/BUILD.bazel diff --git a/src/ray/util/BUILD b/src/ray/util/BUILD.bazel similarity index 100% rename from src/ray/util/BUILD rename to src/ray/util/BUILD.bazel diff --git a/src/ray/util/internal/BUILD b/src/ray/util/internal/BUILD.bazel similarity index 100% rename from src/ray/util/internal/BUILD rename to src/ray/util/internal/BUILD.bazel diff --git a/src/ray/util/internal/tests/BUILD b/src/ray/util/internal/tests/BUILD.bazel similarity index 100% rename from src/ray/util/internal/tests/BUILD rename to src/ray/util/internal/tests/BUILD.bazel diff --git a/src/ray/util/tests/BUILD b/src/ray/util/tests/BUILD.bazel similarity index 100% rename from src/ray/util/tests/BUILD rename to src/ray/util/tests/BUILD.bazel diff --git a/thirdparty/patches/BUILD b/thirdparty/patches/BUILD.bazel similarity index 100% rename from thirdparty/patches/BUILD rename to thirdparty/patches/BUILD.bazel From 492423e13ffae0af35e1db28bf0ab3be0459f905 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Wed, 30 Jul 2025 06:54:36 -0700 Subject: [PATCH 0395/1566] [Serve] Fix test deploy 2 flakiness windows (#54924) This PR resolves flakiness for `test_deploy_2.py` on windows. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy_2.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index 8f86dfd39dfe..bf809d8d3ceb 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -112,8 +112,14 @@ async def __call__(self): return ret_val serve.run(A.bind()) - url = get_application_url("HTTP") + # Windows usually resolves "localhost" to the IPv6 loopback ::1 first, but the + # Serve proxy is listening only on IPv4. The initial TCP connect then hangs, + # breaking the short‑timeout logic in this test. Using the literal IPv4 address + # 127.0.0.1 skips the IPv6 attempt and makes the test deterministic on Windows. + if sys.platform == "win32": + url = url.replace("localhost", "127.0.0.1") + with ThreadPoolExecutor() as pool: # Send the first request, it should block for the result first_blocking_fut = pool.submit(functools.partial(httpx.get, url, timeout=100)) From da23f73c5adf7897c15a2ee2bcb8459d7722d9ef Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Wed, 30 Jul 2025 07:08:23 -0700 Subject: [PATCH 0396/1566] [Serve] Fix test_model_composition flakiness in windows (#54974) This PR resolves issues with `test_model_composition.py`. It was failing as `get_application_url` was triggered before actually the application was ran. Due to this, `get_application_url` was returning `0.0.0.0:8000` falsely passing the test for Linux and failing for Windows as windows does not resolve `0.0.0.0`. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_model_composition.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_model_composition.py b/python/ray/serve/tests/test_model_composition.py index 3f6da819f10c..d545d9dde7c5 100644 --- a/python/ray/serve/tests/test_model_composition.py +++ b/python/ray/serve/tests/test_model_composition.py @@ -166,8 +166,8 @@ def test_multi_instantiation_class_nested_deployment_arg_dag(serve_instance): def test_class_factory(serve_instance): serve_dag = serve.deployment(class_factory()).bind(3) - url = get_application_url() handle = serve.run(serve_dag) + url = get_application_url() assert handle.get.remote().result() == 3 assert httpx.get(url).text == "3" From e998b8ac7b77de0a78d29e4e294d67728c59fc19 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 07:40:04 -0700 Subject: [PATCH 0397/1566] [doc] disable `automl_for_time_series` (#55040) the s3 bucket of `m5-benchmarks` that save the data is no longer accessible. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index e5abb8d2f215..b22d46d1e5f2 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -57,6 +57,7 @@ py_test( "exclusive", "team:ml", "timeseries_libs", + "manual", # TODO(ray-train): fix this doc test. ], ) From 1fe6fc5b02a3060b732757db113cec08b35e0716 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 30 Jul 2025 07:54:42 -0700 Subject: [PATCH 0398/1566] [core] Wait to register cgraph writer until node cache is populated (#54995) ## Why are these changes needed? When a writer is registered for compiled graphs it needs the addresses of other raylets. If the node subscription cache isn't populated at the time we try to get the addresses the following ray check will likely fail. https://github.com/ray-project/ray/blob/c041e834490f940621585a25f405e8e889b4c6f0/src/ray/core_worker/core_worker.cc#L608-L611 This is where it's used inside RegisterWriterChannel. So in this pr, we're blocking the registering of the writer channel to wait on the GCS node subscription cache population. https://github.com/ray-project/ray/blob/c041e834490f940621585a25f405e8e889b4c6f0/src/ray/core_worker/experimental_mutable_object_provider.cc#L77-L78 For context, the `done` callback in `AsyncSubscribeToNodeChange` is called once the initial GetAllNodeInfo request response is processed. This becomes a bigger problem once we start having workers lazy subscribe to node changes. https://github.com/ray-project/ray/pull/54220 Also `ExperimentalRegisterMutableObjectWriter` was returning a status, but it would just always be Status::OK so updating that. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 9 ++--- .../experimental/test_compiled_graphs.py | 8 ++-- python/ray/includes/libcoreworker.pxd | 2 +- src/ray/core_worker/core_worker.cc | 38 ++++++++++++++++++- src/ray/core_worker/core_worker.h | 7 +++- src/ray/core_worker/core_worker_process.cc | 20 ---------- 6 files changed, 51 insertions(+), 33 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 1fce2dfaeb3a..df9c71ddf6fc 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3353,11 +3353,10 @@ cdef class CoreWorker: c_remote_reader_nodes.push_back(CNodeID.FromHex(node_id)) with nogil: - check_status(CCoreWorkerProcess.GetCoreWorker() - .ExperimentalRegisterMutableObjectWriter( - c_writer_ref, - c_remote_reader_nodes, - )) + CCoreWorkerProcess.GetCoreWorker().ExperimentalRegisterMutableObjectWriter( + c_writer_ref, + c_remote_reader_nodes, + ) check_status( CCoreWorkerProcess.GetCoreWorker() .ExperimentalRegisterMutableObjectReaderRemote( diff --git a/python/ray/dag/tests/experimental/test_compiled_graphs.py b/python/ray/dag/tests/experimental/test_compiled_graphs.py index 3579d095d8b4..4195eb14a481 100644 --- a/python/ray/dag/tests/experimental/test_compiled_graphs.py +++ b/python/ray/dag/tests/experimental/test_compiled_graphs.py @@ -75,10 +75,10 @@ def test_two_returns_one_reader(ray_start_regular, single_fetch): a = Actor.remote(0) b = Actor.remote(0) with InputNode() as i: - o1, o2 = a.return_two.bind(i) - o3 = b.echo.bind(o1) - o4 = b.echo.bind(o2) - dag = MultiOutputNode([o3, o4]) + out_1, out_2 = a.return_two.bind(i) + out_3 = b.echo.bind(out_1) + out_4 = b.echo.bind(out_2) + dag = MultiOutputNode([out_3, out_4]) compiled_dag = dag.experimental_compile() for _ in range(3): diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index aaa8393699ac..f802b5633f07 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -278,7 +278,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: const CObjectID &object_id) CRayStatus ExperimentalChannelSetError( const CObjectID &object_id) - CRayStatus ExperimentalRegisterMutableObjectWriter( + void ExperimentalRegisterMutableObjectWriter( const CObjectID &writer_object_id, const c_vector[CNodeID] &remote_reader_node_ids) CRayStatus ExperimentalRegisterMutableObjectReader(const CObjectID &object_id) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index fce2b9192c9a..d40b83a4deb4 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -358,6 +358,34 @@ CoreWorker::CoreWorker( RegisterToGcs(options_.worker_launch_time_ms, options_.worker_launched_time_ms); + // Register a callback to monitor add/removed nodes. + // Note we capture a shared ownership of reference_counter_ and rate_limiter + // here to avoid destruction order fiasco between gcs_client and reference_counter_. + auto on_node_change = [temp_reference_counter = reference_counter_, + temp_rate_limiter = lease_request_rate_limiter_]( + const NodeID &node_id, const rpc::GcsNodeInfo &data) { + if (data.state() == rpc::GcsNodeInfo::DEAD) { + RAY_LOG(INFO).WithField(node_id) + << "Node failure. All objects pinned on that node will be lost if object " + "reconstruction is not enabled."; + temp_reference_counter->ResetObjectsOnRemovedNode(node_id); + } + auto cluster_size_based_rate_limiter = + dynamic_cast(temp_rate_limiter.get()); + if (cluster_size_based_rate_limiter != nullptr) { + cluster_size_based_rate_limiter->OnNodeChanges(data); + } + }; + + gcs_client_->Nodes().AsyncSubscribeToNodeChange( + std::move(on_node_change), [this](const Status &) { + { + std::scoped_lock lock(gcs_client_node_cache_populated_mutex_); + gcs_client_node_cache_populated_ = true; + } + gcs_client_node_cache_populated_cv_.notify_all(); + }); + // Create an entry for the driver task in the task table. This task is // added immediately with status RUNNING. This allows us to push errors // related to this driver task back to the driver. For example, if the @@ -1243,11 +1271,17 @@ Status CoreWorker::SealExisting(const ObjectID &object_id, return Status::OK(); } -Status CoreWorker::ExperimentalRegisterMutableObjectWriter( +void CoreWorker::ExperimentalRegisterMutableObjectWriter( const ObjectID &writer_object_id, const std::vector &remote_reader_node_ids) { + { + std::unique_lock lock(gcs_client_node_cache_populated_mutex_); + if (!gcs_client_node_cache_populated_) { + gcs_client_node_cache_populated_cv_.wait( + lock, [this]() { return gcs_client_node_cache_populated_; }); + } + } experimental_mutable_object_provider_->RegisterWriterChannel(writer_object_id, remote_reader_node_ids); - return Status::OK(); } Status CoreWorker::ExperimentalRegisterMutableObjectReaderRemote( diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index a078ccc83d14..df3b349f7050 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -625,7 +625,7 @@ class CoreWorker { /// /// \param[in] writer_object_id The ID of the object. /// \param[in] remote_reader_node_ids The list of remote reader's node ids. - Status ExperimentalRegisterMutableObjectWriter( + void ExperimentalRegisterMutableObjectWriter( const ObjectID &writer_object_id, const std::vector &remote_reader_node_ids); @@ -1926,6 +1926,11 @@ class CoreWorker { /// Maps serialized runtime env info to **immutable** deserialized protobuf. mutable utils::container::ThreadSafeSharedLruCache runtime_env_json_serialization_cache_; + + /// Used to block in certain spots if the GCS node cache is needed. + std::mutex gcs_client_node_cache_populated_mutex_; + std::condition_variable gcs_client_node_cache_populated_cv_; + bool gcs_client_node_cache_populated_ = false; }; // Lease request rate-limiter based on cluster node size. diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 2184b87edb8e..f0a6dece057e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -340,26 +340,6 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( /*min_concurrent_lease_cap_*/ 10); } - // Register a callback to monitor add/removed nodes. - // Note we capture a shared ownership of reference_counter_ and rate_limiter - // here to avoid destruction order fiasco between gcs_client and reference_counter_. - auto on_node_change = [temp_reference_counter = reference_counter, - temp_rate_limiter = lease_request_rate_limiter]( - const NodeID &node_id, const rpc::GcsNodeInfo &data) { - if (data.state() == rpc::GcsNodeInfo::DEAD) { - RAY_LOG(INFO).WithField(node_id) - << "Node failure. All objects pinned on that node will be lost if object " - "reconstruction is not enabled."; - temp_reference_counter->ResetObjectsOnRemovedNode(node_id); - } - auto cluster_size_based_rate_limiter = - dynamic_cast(temp_rate_limiter.get()); - if (cluster_size_based_rate_limiter != nullptr) { - cluster_size_based_rate_limiter->OnNodeChanges(data); - } - }; - gcs_client->Nodes().AsyncSubscribeToNodeChange(std::move(on_node_change), nullptr); - auto plasma_store_provider = std::make_shared( options.store_socket, local_raylet_client, From 8fca153152bbc19f20afb39107151d719342014c Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Wed, 30 Jul 2025 09:16:07 -0700 Subject: [PATCH 0399/1566] Revert "[core][bug] Fix infinite loop on E2BIG error when spawning a process (#54838) (#55012) This reverts commit 152fbcf8cb27c9c493312ad1d03dc913752b0cc0. Signed-off-by: Douglas Strodtman --- python/ray/tests/test_runtime_env.py | 29 ---- src/ray/raylet/local_task_manager.cc | 10 +- src/ray/raylet/worker_pool.cc | 59 +++---- src/ray/raylet/worker_pool.h | 25 ++- src/ray/raylet/worker_pool_test.cc | 13 +- src/ray/util/process.cc | 233 +++++++++------------------ 6 files changed, 112 insertions(+), 257 deletions(-) diff --git a/python/ray/tests/test_runtime_env.py b/python/ray/tests/test_runtime_env.py index 6f8249159a3e..5a189ea66f03 100644 --- a/python/ray/tests/test_runtime_env.py +++ b/python/ray/tests/test_runtime_env.py @@ -9,7 +9,6 @@ import pytest import ray -from ray.exceptions import RuntimeEnvSetupError from ray.runtime_env import RuntimeEnv, RuntimeEnvConfig @@ -168,33 +167,5 @@ def run(runtime_env): run(runtime_env) -@pytest.mark.skipif( - sys.platform != "linux", - reason="The process spawning and error code passing behavior is Linux-specific", -) -def test_large_runtime_env_fails_fast(start_cluster_shared): - """ - Tests that a task with a runtime_env that is too large fails quickly - instead of hanging. This is a regression test for GitHub issue #47432. - """ - cluster, address = start_cluster_shared - ray.init(address) - - # Create a runtime_env with a very large environment variable to trigger - # a E2BIG error. - large_env_vars = {"MY_HUGE_VAR": "X" * 4096 * 100} - runtime_env = {"env_vars": large_env_vars} - - @ray.remote - def f(): - # This code should not be reached. - return 1 - - # The E2BIG error from the raylet is propagated to the - # driver, which should raise a RuntimeEnvSetupError. - with pytest.raises(RuntimeEnvSetupError, match="Worker command arguments too long"): - ray.get(f.options(runtime_env=runtime_env).remote()) - - if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/raylet/local_task_manager.cc b/src/ray/raylet/local_task_manager.cc index 4e0894e909a2..44be7658d3d9 100644 --- a/src/ray/raylet/local_task_manager.cc +++ b/src/ray/raylet/local_task_manager.cc @@ -606,11 +606,11 @@ bool LocalTaskManager::PoppedWorkerHandler( << "This node has available resources, but no worker processes " "to grant the lease: status " << status; - if (status == PopWorkerStatus::RuntimeEnvCreationFailed || - status == PopWorkerStatus::ArgumentListTooLong) { - // In case of runtime env creation or worker startup failure, we cancel this task - // directly and raise an exception to user eventually. The task will be removed - // from the dispatch queue in `CancelTask`. + if (status == PopWorkerStatus::RuntimeEnvCreationFailed) { + // In case of runtime env creation failed, we cancel this task + // directly and raise a `RuntimeEnvSetupError` exception to user + // eventually. The task will be removed from dispatch queue in + // `CancelTask`. CancelTasks( [task_id](const auto &work) { return task_id == work->task.GetTaskSpecification().TaskId(); diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 35d7c1843177..c8e539f265e0 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -210,31 +210,26 @@ void WorkerPool::SetRuntimeEnvAgentClient( runtime_env_agent_client_ = std::move(runtime_env_agent_client); } -void WorkerPool::PopWorkerCallbackAsync( - PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status, - const std::string &runtime_env_setup_error_message) { +void WorkerPool::PopWorkerCallbackAsync(PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status) { + // This method shouldn't be invoked when runtime env creation has failed because + // when runtime env is failed to be created, they are all + // invoking the callback immediately. + RAY_CHECK(status != PopWorkerStatus::RuntimeEnvCreationFailed); // Call back this function asynchronously to make sure executed in different stack. io_service_->post( - [this, - callback = std::move(callback), - worker = std::move(worker), - status, - runtime_env_setup_error_message]() { - PopWorkerCallbackInternal( - callback, worker, status, runtime_env_setup_error_message); + [this, callback = std::move(callback), worker = std::move(worker), status]() { + PopWorkerCallbackInternal(callback, worker, status); }, "WorkerPool.PopWorkerCallback"); } -void WorkerPool::PopWorkerCallbackInternal( - const PopWorkerCallback &callback, - std::shared_ptr worker, - PopWorkerStatus status, - const std::string &runtime_env_setup_error_message) { +void WorkerPool::PopWorkerCallbackInternal(const PopWorkerCallback &callback, + std::shared_ptr worker, + PopWorkerStatus status) { RAY_CHECK(callback); - auto used = callback(worker, status, runtime_env_setup_error_message); + auto used = callback(worker, status, /*runtime_env_setup_error_message=*/""); if (worker && !used) { // The invalid worker not used, restore it to worker pool. PushWorker(worker); @@ -526,16 +521,8 @@ std::tuple WorkerPool::StartWorkerProcess( state); auto start = std::chrono::high_resolution_clock::now(); - std::error_code ec; // Start a process and measure the startup time. - Process proc = StartProcess(worker_command_args, env, ec); - if (ec) { - RAY_CHECK(ec.value() == E2BIG); - RAY_LOG(WARNING) << "E2BIG error occurred when starting worker process. Worker " - "command arguments likely too long."; - *status = PopWorkerStatus::ArgumentListTooLong; - return {Process(), (StartupToken)-1}; - } + Process proc = StartProcess(worker_command_args, env); stats::NumWorkersStarted.Record(1); RAY_LOG(INFO) << "Started worker process with pid " << proc.GetId() << ", the token is " << worker_startup_token_counter_; @@ -647,8 +634,7 @@ void WorkerPool::MonitorPopWorkerRequestForRegistration( } Process WorkerPool::StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env, - std::error_code &ec) { + const ProcessEnvironment &env) { if (RAY_LOG_ENABLED(DEBUG)) { std::string debug_info; debug_info.append("Starting worker process with command:"); @@ -672,6 +658,7 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ } // Launch the process to create the worker. + std::error_code ec; std::vector argv; for (const std::string &arg : worker_command_args) { argv.push_back(arg.c_str()); @@ -680,10 +667,8 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ Process child(argv.data(), io_service_, ec, /*decouple=*/false, env); if (!child.IsValid() || ec) { - if (ec.value() == E2BIG) { - // Do nothing here; the error code `ec` will be propagated to the caller. - } else if (ec.value() == 24) { - // errorcode 24: Too many files. This is caused by ulimit. + // errorcode 24: Too many files. This is caused by ulimit. + if (ec.value() == 24) { RAY_LOG(FATAL) << "Too many workers, failed to create a file. Try setting " << "`ulimit -n ` then restart Ray."; } else { @@ -1338,13 +1323,7 @@ void WorkerPool::StartNewWorker( state.pending_start_requests.emplace_back(std::move(pop_worker_request)); } else { DeleteRuntimeEnvIfPossible(serialized_runtime_env); - // If we failed due to E2BIG, we provide a more specific error message. - const std::string error_msg = (status == PopWorkerStatus::ArgumentListTooLong) - ? "Worker command arguments too long. This can " - "be caused by a large runtime environment." - : ""; - PopWorkerCallbackAsync( - std::move(pop_worker_request->callback), nullptr, status, error_msg); + PopWorkerCallbackAsync(std::move(pop_worker_request->callback), nullptr, status); } }; diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index a1913973c577..3b394e3e4b88 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -51,23 +51,24 @@ using WorkerCommandMap = enum PopWorkerStatus { // OK. + // A registered worker will be returned with callback. OK = 0, // Job config is not found. + // A nullptr worker will be returned with callback. JobConfigMissing = 1, // Worker process startup rate is limited. + // A nullptr worker will be returned with callback. TooManyStartingWorkerProcesses = 2, // Worker process has been started, but the worker did not register at the raylet within // the timeout. + // A nullptr worker will be returned with callback. WorkerPendingRegistration = 3, // Any fails of runtime env creation. + // A nullptr worker will be returned with callback. RuntimeEnvCreationFailed = 4, // The task's job has finished. + // A nullptr worker will be returned with callback. JobFinished = 5, - // The worker process failed to launch because the OS returned an `E2BIG` - // (Argument list too long) error. This typically occurs when a `runtime_env` - // is so large that its serialized context exceeds the kernel's command-line - // argument size limit. - ArgumentListTooLong = 6, }; /// \param[in] worker The started worker instance. Nullptr if worker is not started. @@ -596,8 +597,7 @@ class WorkerPool : public WorkerPoolInterface { /// the environment variables of the parent process. /// \return An object representing the started worker process. virtual Process StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env, - std::error_code &ec); + const ProcessEnvironment &env); /// Push an warning message to user if worker pool is getting to big. virtual void WarnAboutSize(); @@ -605,8 +605,7 @@ class WorkerPool : public WorkerPoolInterface { /// Make this synchronized function for unit test. void PopWorkerCallbackInternal(const PopWorkerCallback &callback, std::shared_ptr worker, - PopWorkerStatus status, - const std::string &runtime_env_setup_error_message); + PopWorkerStatus status); /// Look up worker's dynamic options by startup token. /// TODO(scv119): replace dynamic options by runtime_env. @@ -773,11 +772,9 @@ class WorkerPool : public WorkerPoolInterface { /// Call the `PopWorkerCallback` function asynchronously to make sure executed in /// different stack. - virtual void PopWorkerCallbackAsync( - PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status, - const std::string &runtime_env_setup_error_message = ""); + virtual void PopWorkerCallbackAsync(PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status); /// We manage all runtime env resources locally by the two methods: /// `GetOrCreateRuntimeEnv` and `DeleteRuntimeEnvIfPossible`. diff --git a/src/ray/raylet/worker_pool_test.cc b/src/ray/raylet/worker_pool_test.cc index 76455f6287d1..4590780c8cd4 100644 --- a/src/ray/raylet/worker_pool_test.cc +++ b/src/ray/raylet/worker_pool_test.cc @@ -169,17 +169,14 @@ class WorkerPoolMock : public WorkerPool { using WorkerPool::PopWorkerCallbackInternal; // Mock `PopWorkerCallbackAsync` to synchronized function. - void PopWorkerCallbackAsync( - PopWorkerCallback callback, - std::shared_ptr worker, - PopWorkerStatus status, - const std::string &runtime_env_setup_error_message = "") override { - PopWorkerCallbackInternal(callback, worker, status, runtime_env_setup_error_message); + void PopWorkerCallbackAsync(PopWorkerCallback callback, + std::shared_ptr worker, + PopWorkerStatus status = PopWorkerStatus::OK) override { + PopWorkerCallbackInternal(callback, worker, status); } Process StartProcess(const std::vector &worker_command_args, - const ProcessEnvironment &env, - std::error_code &ec) override { + const ProcessEnvironment &env) override { // Use a bogus process ID that won't conflict with those in the system auto pid = static_cast(PID_MAX_LIMIT + 1 + worker_commands_by_proc_.size()); last_worker_process_ = Process::FromPid(pid); diff --git a/src/ray/util/process.cc b/src/ray/util/process.cc index 2fb7792a152c..3412b2d5f902 100644 --- a/src/ray/util/process.cc +++ b/src/ray/util/process.cc @@ -80,30 +80,6 @@ void SetFdCloseOnExec(int fd) { RAY_CHECK_NE(ret, -1) << "fcntl error: errno = " << errno << ", fd = " << fd; RAY_LOG(DEBUG) << "set FD_CLOEXEC to fd " << fd; } - -// A helper function to robustly read a specific number of bytes from a file descriptor. -// This handles partial reads and interruptions by signals. -static inline ssize_t ReadBytesFromFd(int fd, void *buffer, size_t count) { - ssize_t total_bytes_read = 0; - while (total_bytes_read < (ssize_t)count) { - ssize_t bytes_read = read(fd, - reinterpret_cast(buffer) + total_bytes_read, - count - total_bytes_read); - if (bytes_read == 0) { - // EOF reached before all bytes were read. - return total_bytes_read; - } - if (bytes_read == -1) { - if (errno == EINTR) { - continue; // Interrupted by signal, retry. - } else { - return -1; // A real read error occurred. - } - } - total_bytes_read += bytes_read; - } - return total_bytes_read; -} #endif bool EnvironmentVariableLess::operator()(char a, char b) const { @@ -148,6 +124,7 @@ class ProcessFD { const ProcessEnvironment &env, bool pipe_to_stdin) { ec = std::error_code(); + intptr_t fd; pid_t pid; ProcessEnvironment new_env; for (char *const *e = environ; *e; ++e) { @@ -165,7 +142,6 @@ class ProcessFD { } #ifdef _WIN32 - intptr_t fd; (void)decouple; // Windows doesn't require anything particular for decoupling. std::vector args; for (size_t i = 0; argv[i]; ++i) { @@ -213,161 +189,96 @@ class ProcessFD { new_env_ptrs.push_back(static_cast(NULL)); char **envp = &new_env_ptrs[0]; - intptr_t fd = -1; - // Pipe for getting startup status (PID and potential errno) from the child. - int status_pipe[2]; - if (pipe(status_pipe) == -1) { - ec = std::error_code(errno, std::system_category()); - return ProcessFD(-1, -1); - } + // TODO(mehrdadn): Use clone() on Linux or posix_spawnp() on Mac to avoid duplicating + // file descriptors into the child process, as that can be problematic. + int pipefds[2]; // Create pipe to get PID & track lifetime + int parent_lifetime_pipe[2]; - // Pipe for parent lifetime tracking, connected to child's stdin. - int parent_lifetime_pipe[2] = {-1, -1}; + // Create pipes to health check parent <> child. + // pipefds is used for parent to check child's health. + if (pipe(pipefds) == -1) { + pipefds[0] = pipefds[1] = -1; + } + // parent_lifetime_pipe is used for child to check parent's health. if (pipe_to_stdin) { if (pipe(parent_lifetime_pipe) == -1) { - close(status_pipe[0]); - close(status_pipe[1]); - ec = std::error_code(errno, std::system_category()); - return ProcessFD(-1, -1); + parent_lifetime_pipe[0] = parent_lifetime_pipe[1] = -1; } } - pid = fork(); + pid = pipefds[1] != -1 ? fork() : -1; - if (pid == 0) { - // --- Child Process (or Intermediate Process if decoupled) --- - close(status_pipe[0]); // Child only writes to the status pipe. - if (pipe_to_stdin) { - close(parent_lifetime_pipe[1]); // Child only reads from the lifetime pipe. - } - - signal(SIGCHLD, SIG_DFL); + // If we don't pipe to stdin close pipes that are not needed. + if (pid <= 0 && pipefds[0] != -1) { + close(pipefds[0]); // not the parent, so close the read end of the pipe + pipefds[0] = -1; + } + if (pid != 0 && pipefds[1] != -1) { + close(pipefds[1]); // not the child, so close the write end of the pipe + pipefds[1] = -1; + // make sure the read end of the pipe is closed on exec + SetFdCloseOnExec(pipefds[0]); + } - if (decouple) { - if (fork() != 0) { - // --- Intermediate Parent --- - // This process must close ALL inherited pipe FDs before exiting - // to prevent leaking them to the grandchild or holding pipes open. - close(status_pipe[1]); - if (pipe_to_stdin) { - close(parent_lifetime_pipe[0]); - } - _exit(0); - } + // Create a pipe and redirect the read pipe to a child's stdin. + // Child can use it to detect the parent's lifetime. + // See the below link for details. + // https://stackoverflow.com/questions/12193581/detect-death-of-parent-process + if (pipe_to_stdin) { + if (pid <= 0 && parent_lifetime_pipe[1] != -1) { + // Child. Close sthe write end of the pipe from child. + close(parent_lifetime_pipe[1]); + parent_lifetime_pipe[1] = -1; + SetFdCloseOnExec(parent_lifetime_pipe[0]); } - - // --- Grandchild (if decoupled) or Direct Child (if not) --- - if (pipe_to_stdin) { - if (dup2(parent_lifetime_pipe[0], STDIN_FILENO) == -1) { - _exit(errno); - } - // After dup2, this original FD is no longer needed. + if (pid != 0 && parent_lifetime_pipe[0] != -1) { + // Parent. Close the read end of the pipe. close(parent_lifetime_pipe[0]); + parent_lifetime_pipe[0] = -1; + // Make sure the write end of the pipe is closed on exec. + SetFdCloseOnExec(parent_lifetime_pipe[1]); } + } else { + // parent_lifetime_pipe pipes are not used. + parent_lifetime_pipe[0] = -1; + parent_lifetime_pipe[1] = -1; + } - // If execve succeeds, this FD will be closed automatically. - if (!decouple) { - // Only set FD_CLOEXEC in the non-decouple case - SetFdCloseOnExec(status_pipe[1]); + if (pid == 0) { + // Child process case. Reset the SIGCHLD handler. + signal(SIGCHLD, SIG_DFL); + // If process needs to be decoupled, double-fork to avoid zombies. + if (pid_t pid2 = decouple ? fork() : 0) { + _exit(pid2 == -1 ? errno : 0); // Parent of grandchild; must exit } - if (decouple) { - pid_t my_pid = getpid(); - if (write(status_pipe[1], &my_pid, sizeof(my_pid)) != sizeof(my_pid)) { - _exit(errno); - } + // Redirect the read pipe to stdin so that child can track the + // parent lifetime. + if (parent_lifetime_pipe[0] != -1) { + dup2(parent_lifetime_pipe[0], STDIN_FILENO); } - execvpe(argv[0], const_cast(argv), const_cast(envp)); - - // If execvpe returns, an error occurred. Write errno to the pipe. - int err = errno; - (void)!write(status_pipe[1], &err, sizeof(err)); - _exit(err); - - } else if (pid > 0) { - // --- Parent Process --- - close(status_pipe[1]); // Parent only reads from the status pipe. - if (pipe_to_stdin) { - close(parent_lifetime_pipe[0]); // Parent only writes to the lifetime pipe. + // This is the spawned process. Any intermediate parent is now dead. + pid_t my_pid = getpid(); + if (write(pipefds[1], &my_pid, sizeof(my_pid)) == sizeof(my_pid)) { + execvpe( + argv[0], const_cast(argv), const_cast(envp)); } - - if (!decouple) { - // Simple case for non-decoupled process - int err_from_child; - ssize_t bytes_read = - ReadBytesFromFd(status_pipe[0], &err_from_child, sizeof(err_from_child)); - if (bytes_read == 0) { - // Success: exec'd, pipe closed by CLOEXEC. - ec = std::error_code(); - } else { - // Failure: got an error from child or pipe broke. - if (bytes_read == sizeof(err_from_child)) { - // We received a full error code from the child. - ec = std::error_code(err_from_child, std::system_category()); - } else { - // The pipe was closed before we could read the full error. - // This can happen if the child crashes. - // If read() returned an error, use that errno. Otherwise, use EPIPE. - ec = std::error_code(bytes_read < 0 ? errno : EPIPE, std::system_category()); - } - while (waitpid(pid, NULL, 0) == -1 && errno == EINTR) { - continue; - } - pid = -1; - } - close(status_pipe[0]); - } else { - while (waitpid(pid, NULL, 0) == -1 && errno == EINTR) { - continue; - } - - // Read the grandchild's PID from the pipe. - ssize_t bytes_read_pid = ReadBytesFromFd(status_pipe[0], &pid, sizeof(pid)); - if (bytes_read_pid != sizeof(pid)) { - // If we can't get the PID, it's a startup failure. - ec = std::error_code(ECHILD, std::system_category()); - pid = -1; - close(status_pipe[0]); - } else { - // We got the PID. Now, do a NON-BLOCKING read to check for an exec error. - int flags = fcntl(status_pipe[0], F_GETFL, 0); - fcntl(status_pipe[0], F_SETFL, flags | O_NONBLOCK); - int exec_errno = 0; - ssize_t bytes_read_errno = - read(status_pipe[0], &exec_errno, sizeof(exec_errno)); - fcntl(status_pipe[0], F_SETFL, flags); // Restore original flags. - - if (bytes_read_errno == sizeof(exec_errno)) { - // We got an error code back. Launch failed. - ec = std::error_code(exec_errno, std::system_category()); - pid = -1; - close(status_pipe[0]); - } else { - // No error code was present. Launch was successful. - // For backward compatibility with tests, we need to keep the pipe - // open but NOT mark it with FD_CLOEXEC, so that child processes - // inherit it and it stays open until all descendants exit. - ec = std::error_code(); - fd = status_pipe[0]; - - // Remove the FD_CLOEXEC flag that was set earlier - flags = fcntl(fd, F_GETFD, 0); - if (flags != -1) { - fcntl(fd, F_SETFD, flags & ~FD_CLOEXEC); - } - } - } + _exit(errno); // fork() succeeded and exec() failed, so abort the child + } + if (pid > 0) { + // Parent process case + if (decouple) { + int s; + (void)waitpid(pid, &s, 0); // can't do much if this fails, so ignore return value + int r = read(pipefds[0], &pid, sizeof(pid)); + (void)r; // can't do much if this fails, so ignore return value } - } else { - // --- Fork Failed --- + } + // Use pipe to track process lifetime. (The pipe closes when process terminates.) + fd = pipefds[0]; + if (pid == -1) { ec = std::error_code(errno, std::system_category()); - close(status_pipe[0]); - close(status_pipe[1]); - if (pipe_to_stdin) { - close(parent_lifetime_pipe[0]); - close(parent_lifetime_pipe[1]); - } } #endif return ProcessFD(pid, fd); From 8a422a17657f633087a353cb97c26a2a32d405f7 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 30 Jul 2025 09:36:31 -0700 Subject: [PATCH 0400/1566] [core] Check if node is dead instead of alive for ref counter correctness (#54769) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/mock/ray/gcs/gcs_client/accessor.h | 2 +- src/ray/core_worker/core_worker.cc | 2 +- src/ray/core_worker/core_worker_process.cc | 20 ++++++++----------- .../experimental_mutable_object_provider.h | 2 +- .../core_worker/object_recovery_manager.cc | 4 ++-- src/ray/core_worker/object_recovery_manager.h | 6 +++--- src/ray/core_worker/reference_count.cc | 4 ++-- src/ray/core_worker/reference_count.h | 10 +++++----- .../test/object_recovery_manager_test.cc | 3 +-- .../core_worker/test/reference_count_test.cc | 11 +++++----- src/ray/core_worker/test/task_manager_test.cc | 6 +++--- src/ray/gcs/gcs_client/accessor.cc | 11 ++++------ src/ray/gcs/gcs_client/accessor.h | 18 ++++++++--------- .../gcs_server/test/gcs_server_test_util.h | 2 +- .../ownership_object_directory.cc | 6 +++--- .../test/ownership_object_directory_test.cc | 2 +- 16 files changed, 51 insertions(+), 58 deletions(-) diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index cc35d4ae30fc..c513bdf68ac8 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -161,7 +161,7 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { int64_t timeout_ms, std::vector &nodes_alive), (override)); - MOCK_METHOD(bool, IsRemoved, (const NodeID &node_id), (const, override)); + MOCK_METHOD(bool, IsNodeDead, (const NodeID &node_id), (const, override)); MOCK_METHOD(void, AsyncResubscribe, (), (override)); }; diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index d40b83a4deb4..f3905176455e 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -3772,7 +3772,7 @@ void CoreWorker::AddSpilledObjectLocationOwner( void CoreWorker::AddObjectLocationOwner(const ObjectID &object_id, const NodeID &node_id) { - if (gcs_client_->Nodes().Get(node_id, /*filter_dead_nodes=*/true) == nullptr) { + if (gcs_client_->Nodes().IsNodeDead(node_id)) { RAY_LOG(DEBUG).WithField(node_id).WithField(object_id) << "Attempting to add object location for a dead node. Ignoring this request."; return; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index f0a6dece057e..afc14a02fcb4 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -314,17 +314,14 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( }, /*callback_service*/ &io_service_); - auto check_node_alive_fn = [this](const NodeID &node_id) { - auto core_worker = GetCoreWorker(); - auto node = core_worker->gcs_client_->Nodes().Get(node_id); - return node != nullptr; - }; - auto reference_counter = std::make_shared( rpc_address, /*object_info_publisher=*/object_info_publisher.get(), /*object_info_subscriber=*/object_info_subscriber.get(), - check_node_alive_fn, + /*is_node_dead=*/ + [this](const NodeID &node_id) { + return GetCoreWorker()->gcs_client_->Nodes().IsNodeDead(node_id); + }, RayConfig::instance().lineage_pinning_enabled()); std::shared_ptr lease_request_rate_limiter; @@ -470,16 +467,15 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( reference_counter); auto node_addr_factory = [this](const NodeID &node_id) { - std::optional addr; auto core_worker = GetCoreWorker(); + std::optional address_opt; if (auto node_info = core_worker->gcs_client_->Nodes().Get(node_id)) { - rpc::Address address; + auto &address = address_opt.emplace(); address.set_raylet_id(node_info->node_id()); address.set_ip_address(node_info->node_manager_address()); address.set_port(node_info->node_manager_port()); - addr = address; } - return addr; + return address_opt; }; auto lease_policy = RayConfig::instance().locality_aware_leasing_enabled() @@ -531,7 +527,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto actor_manager = std::make_unique( gcs_client, *actor_task_submitter, *reference_counter); - std::function + std::function object_lookup_fn = [this, node_addr_factory](const ObjectID &object_id, const ObjectLookupCallback &callback) { auto core_worker = GetCoreWorker(); diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index 70848bc2ac5c..364d1f7d3aa1 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -145,7 +145,7 @@ class MutableObjectProvider : public MutableObjectProviderInterface { std::function(const NodeID &)>; MutableObjectProvider(plasma::PlasmaClientInterface &plasma, - RayletFactory factory, + RayletFactory raylet_client_factory, std::function check_signals); ~MutableObjectProvider() override; diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index a6c84199b027..0db6c3a602df 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -69,11 +69,11 @@ bool ObjectRecoveryManager::RecoverObject(const ObjectID &object_id) { }); // Gets the node ids from reference_counter and then gets addresses from the local // gcs_client. - RAY_CHECK_OK(object_lookup_( + object_lookup_( object_id, [this](const ObjectID &object_id, std::vector locations) { PinOrReconstructObject(object_id, std::move(locations)); - })); + }); } else if (requires_recovery) { RAY_LOG(DEBUG).WithField(object_id) << "Recovery already started for object"; } else { diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index d006832c9ee7..746cfc74fbb5 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -44,8 +44,8 @@ class ObjectRecoveryManager { rpc::Address rpc_address, std::shared_ptr raylet_client_pool, std::shared_ptr local_object_pinning_client, - std::function object_lookup, + std::function + object_lookup, TaskManagerInterface &task_manager, ReferenceCounter &reference_counter, CoreWorkerMemoryStore &in_memory_store, @@ -125,7 +125,7 @@ class ObjectRecoveryManager { std::shared_ptr local_object_pinning_client_; /// Function to lookup an object's locations from the global database. - std::function + std::function object_lookup_; /// Used to store object values (InPlasmaError) if recovery succeeds. diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 60c2039c5c4d..cf0ccbbb3f07 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -868,7 +868,7 @@ void ReferenceCounter::UpdateObjectPinnedAtRaylet(const ObjectID &object_id, // Only the owner tracks the location. RAY_CHECK(it->second.owned_by_us); if (!it->second.OutOfScope(lineage_pinning_enabled_)) { - if (check_node_alive_(raylet_id)) { + if (!is_node_dead_(raylet_id)) { it->second.pinned_at_raylet_id = raylet_id; } else { UnsetObjectPrimaryCopy(it); @@ -1426,7 +1426,7 @@ bool ReferenceCounter::HandleObjectSpilled(const ObjectID &object_id, it->second.spilled = true; it->second.did_spill = true; bool spilled_location_alive = - spilled_node_id.IsNil() || check_node_alive_(spilled_node_id); + spilled_node_id.IsNil() || !is_node_dead_(spilled_node_id); if (spilled_location_alive) { if (!spilled_url.empty()) { it->second.spilled_url = spilled_url; diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index 69a216185766..1ede49834e94 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -83,13 +83,13 @@ class ReferenceCounter : public ReferenceCounterInterface, ReferenceCounter(rpc::Address rpc_address, pubsub::PublisherInterface *object_info_publisher, pubsub::SubscriberInterface *object_info_subscriber, - std::function check_node_alive, + std::function is_node_dead, bool lineage_pinning_enabled = false) : rpc_address_(std::move(rpc_address)), lineage_pinning_enabled_(lineage_pinning_enabled), object_info_publisher_(object_info_publisher), object_info_subscriber_(object_info_subscriber), - check_node_alive_(std::move(check_node_alive)) {} + is_node_dead_(std::move(is_node_dead)) {} ~ReferenceCounter() override = default; @@ -1097,10 +1097,10 @@ class ReferenceCounter : public ReferenceCounterInterface, absl::flat_hash_map::iterator> reconstructable_owned_objects_index_ ABSL_GUARDED_BY(mutex_); - /// Called to check whether a raylet is still alive. This is used when adding - /// the primary or spilled location of an object. If the node is dead, then + /// Called to check whether a raylet died. This is used when adding + /// the primary or spilled location of an object. If the node died, then /// the object will be added to the buffer objects to recover. - const std::function check_node_alive_; + const std::function is_node_dead_; /// A buffer of the objects whose primary or spilled locations have been lost /// due to node failure. These objects are still in scope and need to be diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index 23d6b93fe144..3a5eb45b81b5 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -137,7 +137,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { rpc::Address(), publisher_.get(), subscriber_.get(), - [](const NodeID &node_id) { return true; }, + /*is_node_dead=*/[](const NodeID &) { return false; }, /*lineage_pinning_enabled=*/lineage_enabled)), manager_( rpc::Address(), @@ -145,7 +145,6 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { raylet_client_, [&](const ObjectID &object_id, const ObjectLookupCallback &callback) { object_directory_->AsyncGetLocations(object_id, callback); - return Status::OK(); }, *task_manager_, *ref_counter_, diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/test/reference_count_test.cc index caab54180fd0..070cdf57bf97 100644 --- a/src/ray/core_worker/test/reference_count_test.cc +++ b/src/ray/core_worker/test/reference_count_test.cc @@ -46,7 +46,7 @@ class ReferenceCountTest : public ::testing::Test { subscriber_ = std::make_shared(); rc = std::make_unique( addr, publisher_.get(), subscriber_.get(), [](const NodeID &node_id) { - return true; + return false; }); } @@ -74,7 +74,7 @@ class ReferenceCountLineageEnabledTest : public ::testing::Test { addr, publisher_.get(), subscriber_.get(), - [](const NodeID &node_id) { return true; }, + [](const NodeID &node_id) { return false; }, /*lineage_pinning_enabled=*/true); } @@ -826,9 +826,10 @@ TEST(MemoryStoreIntegrationTest, TestSimple) { auto publisher = std::make_shared(); auto subscriber = std::make_shared(); auto rc = std::make_shared( - rpc::Address(), publisher.get(), subscriber.get(), [](const NodeID &node_id) { - return true; - }); + rpc::Address(), + publisher.get(), + subscriber.get(), + /*is_node_dead=*/[](const NodeID &) { return false; }); InstrumentedIOContextWithThread io_context("TestSimple"); CoreWorkerMemoryStore store(io_context.GetIoService(), rc.get()); diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 8093eff9257d..f6a0b3824458 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -135,7 +135,7 @@ class TaskManagerTest : public ::testing::Test { addr_, publisher_.get(), subscriber_.get(), - [this](const NodeID &node_id) { return all_nodes_alive_; }, + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, lineage_pinning_enabled)), io_context_("TaskManagerTest"), store_(std::make_shared(io_context_.GetIoService(), @@ -204,7 +204,7 @@ class TaskManagerTest : public ::testing::Test { std::shared_ptr reference_counter_; InstrumentedIOContextWithThread io_context_; std::shared_ptr store_; - bool all_nodes_alive_ = true; + bool node_died_ = false; TaskManager manager_; int num_retries_ = 0; uint32_t last_delay_ms_ = 0; @@ -308,7 +308,7 @@ TEST_F(TaskManagerTest, TestPlasmaConcurrentFailure) { WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(0)); ASSERT_TRUE(reference_counter_->FlushObjectsToRecover().empty()); - all_nodes_alive_ = false; + node_died_ = true; manager_.MarkDependenciesResolved(spec.TaskId()); ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 6a837cb776e4..0e7decf13818 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -706,8 +706,10 @@ Status NodeInfoAccessor::CheckAlive(const std::vector &node_ids, return ret_promise.get_future().get(); } -bool NodeInfoAccessor::IsRemoved(const NodeID &node_id) const { - return removed_nodes_.count(node_id) == 1; +bool NodeInfoAccessor::IsNodeDead(const NodeID &node_id) const { + auto node_iter = node_cache_.find(node_id); + return node_iter != node_cache_.end() && + node_iter->second.state() == rpc::GcsNodeInfo::DEAD; } void NodeInfoAccessor::HandleNotification(rpc::GcsNodeInfo &&node_info) { @@ -756,11 +758,6 @@ void NodeInfoAccessor::HandleNotification(rpc::GcsNodeInfo &&node_info) { // If the notification is new, call registered callback. if (is_notif_new) { - if (is_alive) { - RAY_CHECK(removed_nodes_.find(node_id) == removed_nodes_.end()); - } else { - removed_nodes_.insert(node_id); - } node_change_callback_(node_id, node_cache_[node_id]); } } diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index 80508069985d..a76afae03f17 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -418,14 +418,16 @@ class NodeInfoAccessor { int64_t timeout_ms, std::vector &drained_node_ids); - /// Search the local cache to find out if the given node is removed. + /// Search the local cache to find out if the given node is dead. + /// If the node is not confirmed to be dead (this returns false), it could be that: + /// 1. We haven't even received a node alive publish for it yet. + /// 2. The node is alive and we have that information in the cache. + /// 3. The GCS has evicted the node from its dead node cache based on + /// maximum_gcs_dead_node_cached_count /// Non-thread safe. - /// Note, the local cache is only available if `AsyncSubscribeToNodeChange` - /// is called before. - /// - /// \param node_id The id of the node to check. - /// \return Whether the node is removed. - virtual bool IsRemoved(const NodeID &node_id) const; + /// Note, the local cache is only available if `AsyncSubscribeToNodeChange` is called + /// before. + virtual bool IsNodeDead(const NodeID &node_id) const; /// Reestablish subscription. /// This should be called when GCS server restarts from a failure. @@ -456,8 +458,6 @@ class NodeInfoAccessor { /// A cache for information about all nodes. absl::flat_hash_map node_cache_; - /// The set of removed nodes. - std::unordered_set removed_nodes_; // TODO(dayshah): Need to refactor gcs client / accessor to avoid this. // https://github.com/ray-project/ray/issues/54805 diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index c1fdb1c04844..586683fa913d 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -427,7 +427,7 @@ struct GcsServerMocker { return node_info_list; } - bool IsRemoved(const NodeID &node_id) const override { return false; } + bool IsNodeDead(const NodeID &node_id) const override { return false; } void AsyncResubscribe() override {} }; diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index ddb3be326fe3..bc17c10c8396 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -44,7 +44,7 @@ namespace { void FilterRemovedNodes(gcs::GcsClient &gcs_client, std::unordered_set *node_ids) { for (auto it = node_ids->begin(); it != node_ids->end();) { - if (gcs_client.Nodes().IsRemoved(*it)) { + if (gcs_client.Nodes().IsNodeDead(*it)) { it = node_ids->erase(it); } else { it++; @@ -85,7 +85,7 @@ bool UpdateObjectLocations(const rpc::WorkerObjectLocationsPubMessage &location_ const auto new_spilled_node_id = NodeID::FromBinary(location_info.spilled_node_id()); RAY_LOG(DEBUG).WithField(new_spilled_node_id) << "Received object spilled to " << new_spilled_url << " spilled on node"; - if (gcs_client.Nodes().IsRemoved(new_spilled_node_id)) { + if (gcs_client.Nodes().IsNodeDead(new_spilled_node_id)) { *spilled_url = ""; *spilled_node_id = NodeID::Nil(); } else { @@ -279,7 +279,7 @@ void OwnershipBasedObjectDirectory::ObjectLocationSubscriptionCallback( for (auto const &node_id_binary : location_info.node_ids()) { const auto node_id = NodeID::FromBinary(node_id_binary); RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) - << "Object is on node alive? " << !gcs_client_.Nodes().IsRemoved(node_id); + << "Did node with object die? " << gcs_client_.Nodes().IsNodeDead(node_id); } auto location_updated = UpdateObjectLocations(location_info, gcs_client_, diff --git a/src/ray/object_manager/test/ownership_object_directory_test.cc b/src/ray/object_manager/test/ownership_object_directory_test.cc index 2f85c50af301..0b082e6bd2ac 100644 --- a/src/ray/object_manager/test/ownership_object_directory_test.cc +++ b/src/ray/object_manager/test/ownership_object_directory_test.cc @@ -93,7 +93,7 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { public: - bool IsRemoved(const NodeID &node_id) const override { return false; } + bool IsNodeDead(const NodeID &node_id) const override { return false; } }; class MockGcsClient : public gcs::GcsClient { From c7ddd41af7f6b06e19bd5ef439a8a0fcd2e0371a Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Wed, 30 Jul 2025 18:46:35 +0200 Subject: [PATCH 0401/1566] [tune][typing] type reset_config to return bool (#54581) Currently `reset_config` is defined as: def reset_config(self, new_config: Dict): return False Because of the literal `False` pyright implicitly infers that the method always returns `Literal[False]` during subclassing it will complain with a `reportIncompatibleMethodOverride` when `bool` or `True` is returned: > Method "reset_config" overrides class "Trainable" in an incompatible manner Return type mismatch: base method returns type "Literal[False]", override returns type "bool" "bool" is not assignable to type "Literal[False]" or > Method "reset_config" overrides class "Trainable" in an incompatible manner Return type mismatch: base method returns type "Literal[False]", override returns type "Literal[True]" "Literal[True]" is not assignable to type "Literal[False]" This PR adds the intended annotation `reset_config(...) -> bool` to prevent this message. Signed-off-by: Daraan Signed-off-by: Douglas Strodtman --- python/ray/tune/trainable/trainable.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/trainable/trainable.py b/python/ray/tune/trainable/trainable.py index 572a6a4e2109..2b3f937557d0 100644 --- a/python/ray/tune/trainable/trainable.py +++ b/python/ray/tune/trainable/trainable.py @@ -647,7 +647,7 @@ def reset(self, new_config, logger_creator=None, storage=None): return True - def reset_config(self, new_config: Dict): + def reset_config(self, new_config: Dict) -> bool: """Resets configuration without restarting the trial. This method is optional, but can be implemented to speed up algorithms From 4a8152565940204b1dbdca6d9aeefcc429d5a969 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Wed, 30 Jul 2025 19:10:47 +0200 Subject: [PATCH 0402/1566] [RLlib] DreamerV3 on PyTorch. (#45463) Signed-off-by: Douglas Strodtman --- .../rllib/doc_code/dreamerv3_inference.py | 37 +- doc/source/rllib/rllib-algorithms.rst | 13 +- release/release_tests.yaml | 14 +- rllib/algorithms/dreamerv3/README.md | 23 +- rllib/algorithms/dreamerv3/dreamerv3.py | 95 +-- .../algorithms/dreamerv3/dreamerv3_catalog.py | 142 +++- .../algorithms/dreamerv3/dreamerv3_learner.py | 2 +- .../dreamerv3/dreamerv3_rl_module.py | 107 +-- .../dreamerv3/tests/test_dreamerv3.py | 119 ++- .../dreamerv3/tf/dreamerv3_tf_rl_module.py | 23 - .../tf/models/components/__init__.py | 0 .../tf/models/components/cnn_atari.py | 112 --- .../models/components/continue_predictor.py | 94 --- .../models/components/conv_transpose_atari.py | 187 ----- .../dreamerv3/tf/models/disagree_networks.py | 94 --- .../dreamerv3/{tf => torch}/__init__.py | 0 .../dreamerv3_torch_learner.py} | 429 ++++++----- .../torch/dreamerv3_torch_rl_module.py | 78 ++ .../{tf => torch}/models/__init__.py | 0 .../{tf => torch}/models/actor_network.py | 124 ++-- .../torch/models/components/__init__.py | 37 + .../torch/models/components/cnn_atari.py | 70 ++ .../models/components/continue_predictor.py | 62 ++ .../models/components/conv_transpose_atari.py | 95 +++ .../models/components/dynamics_predictor.py | 50 +- .../{tf => torch}/models/components/mlp.py | 75 +- .../models/components/representation_layer.py | 63 +- .../models/components/reward_predictor.py | 69 +- .../components/reward_predictor_layer.py | 60 +- .../models/components/sequence_model.py | 128 ++-- .../models/components/vector_decoder.py | 54 +- .../{tf => torch}/models/critic_network.py | 113 ++- .../{tf => torch}/models/dreamer_model.py | 317 +++----- .../{tf => torch}/models/world_model.py | 230 +++--- .../dreamerv3/utils/add_is_firsts_to_batch.py | 36 + rllib/algorithms/dreamerv3/utils/debugging.py | 8 +- .../algorithms/dreamerv3/utils/env_runner.py | 694 ------------------ rllib/algorithms/dreamerv3/utils/summaries.py | 7 +- rllib/algorithms/ppo/ppo.py | 2 +- .../add_states_from_episodes_to_batch.py | 1 + .../remove_single_ts_time_rank_from_batch.py | 4 +- rllib/core/learner/learner.py | 7 +- rllib/core/rl_module/rl_module.py | 23 +- rllib/env/wrappers/atari_wrappers.py | 25 +- ...{atari_100k.py => atari_100k_dreamerv3.py} | 39 +- ...{atari_200M.py => atari_200M_dreamerv3.py} | 17 +- .../{cartpole.py => cartpole_dreamerv3.py} | 2 +- ...y => dm_control_suite_vision_dreamerv3.py} | 20 +- ...lappy_bird.py => flappy_bird_dreamerv3.py} | 7 +- ...ake_2x2.py => frozenlake_2x2_dreamerv3.py} | 5 +- ...frozenlake_4x4_deterministic_dreamerv3.py} | 5 +- ...ics.py => gymnasium_robotics_dreamerv3.py} | 5 +- ...ighway_env.py => highway_env_dreamerv3.py} | 5 +- .../{pendulum.py => pendulum_dreamerv3.py} | 5 +- rllib/utils/tests/test_torch_utils.py | 48 ++ rllib/utils/torch_utils.py | 123 ++++ 56 files changed, 1759 insertions(+), 2445 deletions(-) delete mode 100644 rllib/algorithms/dreamerv3/tf/dreamerv3_tf_rl_module.py delete mode 100644 rllib/algorithms/dreamerv3/tf/models/components/__init__.py delete mode 100644 rllib/algorithms/dreamerv3/tf/models/components/cnn_atari.py delete mode 100644 rllib/algorithms/dreamerv3/tf/models/components/continue_predictor.py delete mode 100644 rllib/algorithms/dreamerv3/tf/models/components/conv_transpose_atari.py delete mode 100644 rllib/algorithms/dreamerv3/tf/models/disagree_networks.py rename rllib/algorithms/dreamerv3/{tf => torch}/__init__.py (100%) rename rllib/algorithms/dreamerv3/{tf/dreamerv3_tf_learner.py => torch/dreamerv3_torch_learner.py} (72%) create mode 100644 rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py rename rllib/algorithms/dreamerv3/{tf => torch}/models/__init__.py (100%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/actor_network.py (60%) create mode 100644 rllib/algorithms/dreamerv3/torch/models/components/__init__.py create mode 100644 rllib/algorithms/dreamerv3/torch/models/components/cnn_atari.py create mode 100644 rllib/algorithms/dreamerv3/torch/models/components/continue_predictor.py create mode 100644 rllib/algorithms/dreamerv3/torch/models/components/conv_transpose_atari.py rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/dynamics_predictor.py (56%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/mlp.py (56%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/representation_layer.py (74%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/reward_predictor.py (59%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/reward_predictor_layer.py (64%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/sequence_model.py (50%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/components/vector_decoder.py (55%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/critic_network.py (66%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/dreamer_model.py (65%) rename rllib/algorithms/dreamerv3/{tf => torch}/models/world_model.py (70%) create mode 100644 rllib/algorithms/dreamerv3/utils/add_is_firsts_to_batch.py delete mode 100644 rllib/algorithms/dreamerv3/utils/env_runner.py rename rllib/tuned_examples/dreamerv3/{atari_100k.py => atari_100k_dreamerv3.py} (67%) rename rllib/tuned_examples/dreamerv3/{atari_200M.py => atari_200M_dreamerv3.py} (82%) rename rllib/tuned_examples/dreamerv3/{cartpole.py => cartpole_dreamerv3.py} (90%) rename rllib/tuned_examples/dreamerv3/{dm_control_suite_vision.py => dm_control_suite_vision_dreamerv3.py} (68%) rename rllib/tuned_examples/dreamerv3/{flappy_bird.py => flappy_bird_dreamerv3.py} (93%) rename rllib/tuned_examples/dreamerv3/{frozenlake_2x2.py => frozenlake_2x2_dreamerv3.py} (86%) rename rllib/tuned_examples/dreamerv3/{frozenlake_4x4_deterministic.py => frozenlake_4x4_deterministic_dreamerv3.py} (85%) rename rllib/tuned_examples/dreamerv3/{gymnasium_robotics.py => gymnasium_robotics_dreamerv3.py} (95%) rename rllib/tuned_examples/dreamerv3/{highway_env.py => highway_env_dreamerv3.py} (95%) rename rllib/tuned_examples/dreamerv3/{pendulum.py => pendulum_dreamerv3.py} (82%) diff --git a/doc/source/rllib/doc_code/dreamerv3_inference.py b/doc/source/rllib/doc_code/dreamerv3_inference.py index 25b8e5a111e0..a13549e9df79 100644 --- a/doc/source/rllib/doc_code/dreamerv3_inference.py +++ b/doc/source/rllib/doc_code/dreamerv3_inference.py @@ -1,11 +1,11 @@ import gymnasium as gym import numpy as np +import tree # pip install dm_tree + from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config from ray.rllib.core.columns import Columns -from ray.rllib.utils.framework import try_import_tf - -tf1, tf, tfv = try_import_tf() +from ray.rllib.utils.framework import convert_to_tensor env_name = "CartPole-v1" @@ -33,26 +33,35 @@ # our num_envs=1; if you are using a vector env >1, you would have to repeat the # returned states `num_env` times to get the correct batch size): states = rl_module.get_initial_state() - +# Batch the states to B=1. +states = tree.map_structure(lambda s: s.unsqueeze(0), states) while not terminated and not truncated: # Use the RLModule for action computations directly. - # DreamerV3 expects this particular batch format: obs, prev. states and the - # `is_first` flag. + # DreamerV3 expects this particular batch format: + # obs=[B, T, ...] + # prev. states=[B, ...] + # `is_first`=[B] batch = { - # states is already batched (B=1) + # States is already batched (see above). Columns.STATE_IN: states, - # obs is already batched (due to vector env). - Columns.OBS: tf.convert_to_tensor(obs), - # set to True at beginning of episode. - "is_first": tf.convert_to_tensor([is_first]), + # `obs` is already batched (due to vector env), but needs time-rank. + Columns.OBS: convert_to_tensor(obs, framework="torch")[None], + # Set to True at beginning of episode. + "is_first": convert_to_tensor(is_first, "torch")[None], } outs = rl_module.forward_inference(batch) - # Extract actions (which are in one hot format) and state-outs from outs - actions = np.argmax(outs[Columns.ACTIONS].numpy(), axis=-1) + # Alternatively, call `forward_exploration` in case you want stochastic, non-greedy + # actions. + # outs = rl_module.forward_exploration(batch) + + # Extract actions (remove time-rank) from outs. + actions = outs[Columns.ACTIONS].numpy()[0] + # Extract states from out. States are returned as batched. states = outs[Columns.STATE_OUT] - # Perform a step in the env. + # Perform a step in the env. Note that actions are still batched, which + # is ok, because we have a vector env. obs, reward, terminated, truncated, info = env.step(actions) # Not at the beginning of the episode anymore. is_first = 0.0 diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index 96dd4948a3f3..d66394f3c137 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -250,6 +250,7 @@ DreamerV3 `[paper] `__ `[implementation] `__ +Also see `this README here for more details on how to run experiments `__ with DreamerV3. .. figure:: images/algos/dreamerv3-architecture.svg :width: 850 @@ -260,17 +261,17 @@ DreamerV3 is to correctly predict the transition dynamics of the RL environment: next observation, reward, and a boolean continuation flag. DreamerV3 trains the actor- and critic-networks on synthesized trajectories only, - which are "dreamed" by the world model. - DreamerV3 scales out on both axes, supporting multiple EnvRunners for sample collection and - multiple GPU- or CPU-based Learners for updating the model. + which are "dreamed" by the WORLD_MODEL. + The algorithm scales out on both axes, supporting multiple :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors for + sample collection and multiple GPU- or CPU-based :py:class:`~ray.rllib.core.learner.learner.Learner` actors for updating the model. It can also be used in different environment types, including those with image- or vector based observations, continuous- or discrete actions, as well as sparse or dense reward functions. **Tuned examples:** -`Atari 100k `__, -`Atari 200M `__, -`DeepMind Control Suite `__ +`Atari 100k `__, +`Atari 200M `__, +`DeepMind Control Suite `__ **Pong-v5 results (1, 2, and 4 GPUs)**: diff --git a/release/release_tests.yaml b/release/release_tests.yaml index d36e54dd4c82..9380618cd76a 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2649,14 +2649,12 @@ # -------------------------- # DreamerV3 # -------------------------- -# TODO (sven): Move algo and this test to pytorch -- name: rllib_learning_tests_pong_dreamerv3_tf2 +- name: rllib_learning_tests_pong_dreamerv3_torch group: RLlib tests working_dir: rllib_tests - stable: false + stable: true - # https://github.com/ray-project/ray/issues/46612 frequency: weekly team: rllib cluster: @@ -2666,11 +2664,11 @@ runtime_env: - RLLIB_TEST_NO_JAX_IMPORT=1 - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_4cpus.yaml + cluster_compute: 4gpu_64cpus.yaml run: - timeout: 43200 # 12h - script: python learning_tests/tuned_examples/dreamerv3/atari_100k.py --framework=tf2 --env=ale_py:ALE/Pong-v5 --num-learners=1 --stop-reward=15.0 --as-release-test + timeout: 36000 # 10h + script: python learning_tests/tuned_examples/dreamerv3/atari_100k_dreamerv3.py --framework=torch --env=ale_py:ALE/Pong-v5 --num-learners=4 --stop-reward=18.0 --as-release-test alert: default @@ -2680,7 +2678,7 @@ env: gce frequency: manual cluster: - cluster_compute: 1gpu_4cpus_gce.yaml + cluster_compute: 4gpu_64cpus_gce.yaml # -------------------------- # IMPALA diff --git a/rllib/algorithms/dreamerv3/README.md b/rllib/algorithms/dreamerv3/README.md index 5b37b0dcca19..8db9fcbae9f1 100644 --- a/rllib/algorithms/dreamerv3/README.md +++ b/rllib/algorithms/dreamerv3/README.md @@ -5,7 +5,7 @@ ## Overview An RLlib-based implementation of the [DreamerV3 model-based reinforcement learning algorithm](https://arxiv.org/pdf/2301.04104v1.pdf) -by D. Hafner et al. (Google DeepMind) 2023, in TensorFlow/Keras. +by D. Hafner et al. (Google DeepMind) 2023, in PyTorch. This implementation allows scaling up training by using multi-GPU machines for neural network updates (see below for tips and tricks, example configs, and command lines). @@ -34,8 +34,7 @@ All you need is a simple "model size" setting (from "XS" to "XL") and a value fo specifies how many steps to replay from the buffer for a training update vs how many steps to take in the actual environment. -For examples on how to set these config settings within your `DreamerV3Config` objects, -see below. +Here are some examples on how to set these config settings within your `DreamerV3Config` objects: ## Example Configs and Command Lines @@ -46,16 +45,16 @@ Use the config examples and templates in the [tuned_examples folder](../../tuned_examples/dreamerv3) in combination with the following scripts and command lines in order to run RLlib's DreamerV3 algorithm in your experiments: -### [Atari100k](../../tuned_examples/dreamerv3/atari_100k.py) +### [Atari100k](../../tuned_examples/dreamerv3/atari_100k_dreamerv3.py) ```shell $ cd ray/rllib/tuned_examples/dreamerv3/ -$ python atari_100k.py --env ale_py:ALE/Pong-v5 +$ python atari_100k_dreamerv3.py --env ale_py:ALE/Pong-v5 ``` -### [DeepMind Control Suite (vision)](../../tuned_examples/dreamerv3/dm_control_suite_vision.py) +### [DeepMind Control Suite (vision)](../../tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py) ```shell $ cd ray/rllib/tuned_examples/dreamerv3/ -$ python dm_control_suite_vision.py --env DMC/cartpole/swingup +$ python dm_control_suite_vision_dreamerv3.py --env DMC/cartpole/swingup ``` Other `--env` options for the DM Control Suite would be `--env DMC/hopper/hop`, `--env DMC/walker/walk`, etc.. Note that you can also switch on WandB logging with the above script via the options @@ -87,7 +86,7 @@ def _env_creator(ctx): import flappy_bird_gymnasium # doctest: +SKIP import gymnasium as gym from supersuit.generic_wrappers import resize_v1 - from ray.rllib.algorithms.dreamerv3.utils.env_runner import NormalizedImageEnv + from ray.rllib.env.wrappers.atari_wrappers import NormalizedImageEnv return NormalizedImageEnv( resize_v1( # resize to 64x64 and normalize images @@ -123,8 +122,8 @@ $ python flappy_bird.py ``` This should be it. Feel free to try out running this on multiple GPUs using these -more advanced config examples [here (Atari100k)](../../tuned_examples/dreamerv3/atari_100k.py) and -[here (DM Control Suite)](../../tuned_examples/dreamerv3/dm_control_suite_vision.py). +more advanced config examples [here (Atari100k)](../../tuned_examples/dreamerv3/atari_100k_dreamerv3.py) and +[here (DM Control Suite)](../../tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py). Also see the notes below on good recipes for running on multiple GPUs. IMPORTANT: DreamerV3 out-of-the-box only supports image observation spaces of @@ -135,12 +134,12 @@ subclass [DreamerV3's catalog class](dreamerv3_catalog.py) and then configure th new catalog via your ``DreamerV3Config`` object as follows: ```python -from ray.rllib.algorithms.dreamerv3.tf.dreamerv3_tf_rl_module import DreamerV3TfRLModule +from ray.rllib.algorithms.dreamerv3.torch.dreamerv3_torch_rl_module import DreamerV3TorchRLModule from ray.rllib.core.rl_module.rl_module import RLModuleSpec config.rl_module( rl_module_spec=RLModuleSpec( - module_class=DreamerV3TfRLModule, + module_class=DreamerV3TorchRLModule, catalog_class=[your DreamerV3Catalog subclass], ) ) diff --git a/rllib/algorithms/dreamerv3/dreamerv3.py b/rllib/algorithms/dreamerv3/dreamerv3.py index 39c8728c6c2b..63784d3e09a7 100644 --- a/rllib/algorithms/dreamerv3/dreamerv3.py +++ b/rllib/algorithms/dreamerv3/dreamerv3.py @@ -8,7 +8,6 @@ https://arxiv.org/pdf/2010.02193.pdf """ -import gc import logging from typing import Any, Dict, Optional, Union @@ -18,12 +17,15 @@ from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided from ray.rllib.algorithms.dreamerv3.dreamerv3_catalog import DreamerV3Catalog from ray.rllib.algorithms.dreamerv3.utils import do_symlog_obs -from ray.rllib.algorithms.dreamerv3.utils.env_runner import DreamerV3EnvRunner +from ray.rllib.algorithms.dreamerv3.utils.add_is_firsts_to_batch import ( + AddIsFirstsToBatch, +) from ray.rllib.algorithms.dreamerv3.utils.summaries import ( report_dreamed_eval_trajectory_vs_samples, report_predicted_vs_sampled_obs, report_sampling_and_replay_buffer, ) +from ray.rllib.connectors.common import AddStatesFromEpisodesToBatch from ray.rllib.core import DEFAULT_MODULE_ID from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.rl_module import RLModuleSpec @@ -31,11 +33,9 @@ from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils import deep_update from ray.rllib.utils.annotations import override, PublicAPI -from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.numpy import one_hot from ray.rllib.utils.metrics import ( ENV_RUNNER_RESULTS, - GARBAGE_COLLECTION_TIMER, LEARN_ON_BATCH_TIMER, LEARNER_RESULTS, NUM_ENV_STEPS_SAMPLED_LIFETIME, @@ -53,8 +53,6 @@ logger = logging.getLogger(__name__) -_, tf, _ = try_import_tf() - class DreamerV3Config(AlgorithmConfig): """Defines a configuration class from which a DreamerV3 can be built. @@ -133,16 +131,13 @@ def __init__(self, algo_class=None): self.report_individual_batch_item_stats = False self.report_dream_data = False self.report_images_and_videos = False - self.gc_frequency_train_steps = 100 # Override some of AlgorithmConfig's default values with DreamerV3-specific # values. self.lr = None - self.framework_str = "tf2" self.gamma = 0.997 # [1] eq. 7. # Do not use! Set `batch_size_B` and `batch_length_T` instead. self.train_batch_size = None - self.env_runner_cls = DreamerV3EnvRunner self.num_env_runners = 0 self.rollout_fragment_length = 1 # Dreamer only runs on the new API stack. @@ -157,6 +152,21 @@ def __init__(self, algo_class=None): # __sphinx_doc_end__ # fmt: on + @override(AlgorithmConfig) + def build_env_to_module_connector(self, env, spaces, device): + connector = super().build_env_to_module_connector(env, spaces, device) + + # Prepend the "is_first" connector such that the RSSM knows, when to insert + # its (learned) internal state into the batch. + # We have to do this before the `AddStatesFromEpisodesToBatch` piece + # such that the column is properly batched/time-ranked. + if self.add_default_connectors_to_learner_pipeline: + connector.insert_before( + AddStatesFromEpisodesToBatch, + AddIsFirstsToBatch(), + ) + return connector + @property def batch_size_B_per_learner(self): """Returns the batch_size_B per Learner worker. @@ -170,7 +180,6 @@ def training( *, model_size: Optional[str] = NotProvided, training_ratio: Optional[float] = NotProvided, - gc_frequency_train_steps: Optional[int] = NotProvided, batch_size_B: Optional[int] = NotProvided, batch_length_T: Optional[int] = NotProvided, horizon_H: Optional[int] = NotProvided, @@ -210,12 +219,6 @@ def training( 1 env step for every training update: 1024 / 1. If the training ratio is 512 and the batch size is 1024, we would take 2 env steps and then perform a single training update (on a 1024 batch): 1024 / 2. - gc_frequency_train_steps: The frequency (in training iterations) with which - we perform a `gc.collect()` calls at the end of a `training_step` - iteration. Doing this more often adds a (albeit very small) performance - overhead, but prevents memory leaks from becoming harmful. - TODO (sven): This might not be necessary anymore, but needs to be - confirmed experimentally. batch_size_B: The batch size (B) interpreted as number of rows (each of length `batch_length_T`) to sample from the replay buffer in each iteration. @@ -282,8 +285,6 @@ def training( self.model_size = model_size if training_ratio is not NotProvided: self.training_ratio = training_ratio - if gc_frequency_train_steps is not NotProvided: - self.gc_frequency_train_steps = gc_frequency_train_steps if batch_size_B is not NotProvided: self.batch_size_B = batch_size_B if batch_length_T is not NotProvided: @@ -423,34 +424,26 @@ def validate(self) -> None: @override(AlgorithmConfig) def get_default_learner_class(self): - if self.framework_str == "tf2": - from ray.rllib.algorithms.dreamerv3.tf.dreamerv3_tf_learner import ( - DreamerV3TfLearner, + if self.framework_str == "torch": + from ray.rllib.algorithms.dreamerv3.torch.dreamerv3_torch_learner import ( + DreamerV3TorchLearner, ) - return DreamerV3TfLearner + return DreamerV3TorchLearner else: raise ValueError(f"The framework {self.framework_str} is not supported.") @override(AlgorithmConfig) def get_default_rl_module_spec(self) -> RLModuleSpec: - if self.framework_str == "tf2": - from ray.rllib.algorithms.dreamerv3.tf.dreamerv3_tf_rl_module import ( - DreamerV3TfRLModule, + if self.framework_str == "torch": + from ray.rllib.algorithms.dreamerv3.torch.dreamerv3_torch_rl_module import ( + DreamerV3TorchRLModule as module, ) - return RLModuleSpec( - module_class=DreamerV3TfRLModule, catalog_class=DreamerV3Catalog - ) else: raise ValueError(f"The framework {self.framework_str} is not supported.") - @property - def share_module_between_env_runner_and_learner(self) -> bool: - # If we only have one local Learner (num_learners=0) and only - # one local EnvRunner (num_env_runners=0), share the RLModule - # between these two to avoid having to sync weights, ever. - return self.num_learners == 0 and self.num_env_runners == 0 + return RLModuleSpec(module_class=module, catalog_class=DreamerV3Catalog) @property @override(AlgorithmConfig) @@ -489,15 +482,11 @@ def setup(self, config: AlgorithmConfig): # Share RLModule between EnvRunner and single (local) Learner instance. # To avoid possibly expensive weight synching step. - if self.config.share_module_between_env_runner_and_learner: - assert self.env_runner.module is None - self.env_runner.module = self.learner_group._learner.module[ - DEFAULT_MODULE_ID - ] - - # Summarize (single-agent) RLModule (only once) here. - if self.config.framework_str == "tf2": - self.env_runner.module.dreamer_model.summary(expand_nested=True) + # if self.config.share_module_between_env_runner_and_learner: + # assert self.env_runner.module is None + # self.env_runner.module = self.learner_group._learner.module[ + # DEFAULT_MODULE_ID + # ] # Create a replay buffer for storing actual env samples. self.replay_buffer = EpisodeReplayBuffer( @@ -686,20 +675,12 @@ def training_step(self) -> None: with self.metrics.log_time((TIMERS, SYNCH_WORKER_WEIGHTS_TIMER)): # Only necessary if RLModule is not shared between (local) EnvRunner and # (local) Learner. - if not self.config.share_module_between_env_runner_and_learner: - self.metrics.log_value(NUM_SYNCH_WORKER_WEIGHTS, 1, reduce="sum") - self.env_runner_group.sync_weights( - from_worker_or_learner_group=self.learner_group, - inference_only=True, - ) - - # Try trick from https://medium.com/dive-into-ml-ai/dealing-with-memory-leak- - # issue-in-keras-model-training-e703907a6501 - if self.config.gc_frequency_train_steps and ( - self.training_iteration % self.config.gc_frequency_train_steps == 0 - ): - with self.metrics.log_time((TIMERS, GARBAGE_COLLECTION_TIMER)): - gc.collect() + # if not self.config.share_module_between_env_runner_and_learner: + self.metrics.log_value(NUM_SYNCH_WORKER_WEIGHTS, 1, reduce="sum") + self.env_runner_group.sync_weights( + from_worker_or_learner_group=self.learner_group, + inference_only=True, + ) # Add train results and the actual training ratio to stats. The latter should # be close to the configured `training_ratio`. diff --git a/rllib/algorithms/dreamerv3/dreamerv3_catalog.py b/rllib/algorithms/dreamerv3/dreamerv3_catalog.py index 158ecedcf75f..a2cca266ec64 100644 --- a/rllib/algorithms/dreamerv3/dreamerv3_catalog.py +++ b/rllib/algorithms/dreamerv3/dreamerv3_catalog.py @@ -1,5 +1,12 @@ import gymnasium as gym +import numpy as np +from ray.rllib.algorithms.dreamerv3.utils import ( + do_symlog_obs, + get_gru_units, + get_num_z_classes, + get_num_z_categoricals, +) from ray.rllib.core.models.catalog import Catalog from ray.rllib.core.models.base import Encoder, Model from ray.rllib.utils import override @@ -32,6 +39,10 @@ def __init__( self.is_gray_scale = ( self.is_img_space and len(self.observation_space.shape) == 2 ) + # Compute the size of the vector coming out of the sequence model. + self.h_plus_z_flat = get_gru_units(self.model_size) + ( + get_num_z_categoricals(self.model_size) * get_num_z_classes(self.model_size) + ) # TODO (sven): We should work with sub-component configurations here, # and even try replacing all current Dreamer model components with @@ -41,40 +52,133 @@ def __init__( @override(Catalog) def build_encoder(self, framework: str) -> Encoder: """Builds the World-Model's encoder network depending on the obs space.""" - if framework != "tf2": - raise NotImplementedError - if self.is_img_space: - from ray.rllib.algorithms.dreamerv3.tf.models.components.cnn_atari import ( - CNNAtari, - ) + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + cnn_atari, + ) + + return cnn_atari.CNNAtari( + gray_scaled=self.is_gray_scale, + model_size=self.model_size, + ) + else: + raise ValueError(f"`framework={framework}` not supported!") - return CNNAtari(model_size=self.model_size) else: - from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.components import mlp - return MLP(model_size=self.model_size, name="vector_encoder") + return mlp.MLP( + input_size=int(np.prod(self.observation_space.shape)), + model_size=self.model_size, + ) + else: + raise ValueError(f"`framework={framework}` not supported!") def build_decoder(self, framework: str) -> Model: """Builds the World-Model's decoder network depending on the obs space.""" - if framework != "tf2": - raise NotImplementedError if self.is_img_space: - from ray.rllib.algorithms.dreamerv3.tf.models.components import ( - conv_transpose_atari, + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + conv_transpose_atari, + ) + + return conv_transpose_atari.ConvTransposeAtari( + input_size=self.h_plus_z_flat, + gray_scaled=self.is_gray_scale, + model_size=self.model_size, + ) + else: + raise ValueError(f"`framework={framework}` not supported!") + + else: + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + vector_decoder, + ) + + return vector_decoder.VectorDecoder( + input_size=self.h_plus_z_flat, + model_size=self.model_size, + observation_space=self.observation_space, + ) + else: + raise ValueError(f"`framework={framework}` not supported!") + + def build_world_model(self, framework: str, *, encoder, decoder) -> Model: + symlog_obs = do_symlog_obs( + self.observation_space, + self._model_config_dict.get("symlog_obs", "auto"), + ) + + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.world_model import ( + WorldModel, ) + else: + raise ValueError(f"`framework={framework}` not supported!") - return conv_transpose_atari.ConvTransposeAtari( + return WorldModel( + model_size=self.model_size, + observation_space=self.observation_space, + action_space=self.action_space, + batch_length_T=self._model_config_dict["batch_length_T"], + encoder=encoder, + decoder=decoder, + symlog_obs=symlog_obs, + ) + + def build_actor(self, framework: str) -> Model: + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.actor_network import ( + ActorNetwork, + ) + + return ActorNetwork( + input_size=self.h_plus_z_flat, + action_space=self.action_space, model_size=self.model_size, - gray_scaled=self.is_gray_scale, ) else: - from ray.rllib.algorithms.dreamerv3.tf.models.components import ( - vector_decoder, + raise ValueError(f"`framework={framework}` not supported!") + + def build_critic(self, framework: str) -> Model: + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.critic_network import ( + CriticNetwork, ) - return vector_decoder.VectorDecoder( + return CriticNetwork( + input_size=self.h_plus_z_flat, model_size=self.model_size, - observation_space=self.observation_space, ) + else: + raise ValueError(f"`framework={framework}` not supported!") + + def build_dreamer_model( + self, framework: str, *, world_model, actor, critic, horizon=None, gamma=None + ) -> Model: + if framework == "torch": + from ray.rllib.algorithms.dreamerv3.torch.models.dreamer_model import ( + DreamerModel, + ) + else: + raise ValueError(f"`framework={framework}` not supported!") + + return DreamerModel( + model_size=self.model_size, + action_space=self.action_space, + world_model=world_model, + actor=actor, + critic=critic, + **( + {} + if framework == "torch" + else { + "horizon": horizon, + "gamma": gamma, + } + ), + ) diff --git a/rllib/algorithms/dreamerv3/dreamerv3_learner.py b/rllib/algorithms/dreamerv3/dreamerv3_learner.py index 6c23be816ff9..2bd634ca76e8 100644 --- a/rllib/algorithms/dreamerv3/dreamerv3_learner.py +++ b/rllib/algorithms/dreamerv3/dreamerv3_learner.py @@ -28,4 +28,4 @@ def after_gradient_based_update(self, *, timesteps): # Update EMA weights of the critic. for module_id, module in self.module._rl_modules.items(): - module.critic.update_ema() + module.unwrapped().critic.update_ema() diff --git a/rllib/algorithms/dreamerv3/dreamerv3_rl_module.py b/rllib/algorithms/dreamerv3/dreamerv3_rl_module.py index 68042e484575..20e0b8140b16 100644 --- a/rllib/algorithms/dreamerv3/dreamerv3_rl_module.py +++ b/rllib/algorithms/dreamerv3/dreamerv3_rl_module.py @@ -3,26 +3,24 @@ """ import abc -from typing import Any, Dict - -import gymnasium as gym -import numpy as np - -from ray.rllib.algorithms.dreamerv3.utils import do_symlog_obs -from ray.rllib.algorithms.dreamerv3.tf.models.actor_network import ActorNetwork -from ray.rllib.algorithms.dreamerv3.tf.models.critic_network import CriticNetwork -from ray.rllib.algorithms.dreamerv3.tf.models.dreamer_model import DreamerModel -from ray.rllib.algorithms.dreamerv3.tf.models.world_model import WorldModel -from ray.rllib.core.columns import Columns +from typing import Dict + +from ray.rllib.algorithms.dreamerv3.utils import ( + do_symlog_obs, + get_gru_units, + get_num_z_categoricals, + get_num_z_classes, +) +from ray.rllib.algorithms.dreamerv3.torch.models.actor_network import ActorNetwork +from ray.rllib.algorithms.dreamerv3.torch.models.critic_network import CriticNetwork +from ray.rllib.algorithms.dreamerv3.torch.models.dreamer_model import DreamerModel +from ray.rllib.algorithms.dreamerv3.torch.models.world_model import WorldModel from ray.rllib.core.rl_module.rl_module import RLModule -from ray.rllib.policy.eager_tf_policy import _convert_to_tf from ray.rllib.utils.annotations import override -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.numpy import one_hot from ray.util.annotations import DeveloperAPI -_, tf, _ = try_import_tf() +ACTIONS_ONE_HOT = "actions_one_hot" @DeveloperAPI(stability="alpha") @@ -32,20 +30,13 @@ def setup(self): super().setup() # Gather model-relevant settings. - B = 1 T = self.model_config["batch_length_T"] - horizon_H = self.model_config["horizon_H"] - gamma = self.model_config["gamma"] symlog_obs = do_symlog_obs( self.observation_space, self.model_config.get("symlog_obs", "auto"), ) model_size = self.model_config["model_size"] - if self.model_config["use_float16"]: - tf.compat.v1.keras.layers.enable_v2_dtype_behavior() - tf.keras.mixed_precision.set_global_policy("mixed_float16") - # Build encoder and decoder from catalog. self.encoder = self.catalog.build_encoder(framework=self.framework) self.decoder = self.catalog.build_decoder(framework=self.framework) @@ -60,11 +51,16 @@ def setup(self): decoder=self.decoder, symlog_obs=symlog_obs, ) + input_size = get_gru_units(model_size) + get_num_z_classes( + model_size + ) * get_num_z_categoricals(model_size) self.actor = ActorNetwork( + input_size=input_size, action_space=self.action_space, model_size=model_size, ) self.critic = CriticNetwork( + input_size=input_size, model_size=model_size, ) # Build the final dreamer model (containing the world model). @@ -74,47 +70,13 @@ def setup(self): world_model=self.world_model, actor=self.actor, critic=self.critic, - horizon=horizon_H, - gamma=gamma, + # horizon=horizon_H, + # gamma=gamma, ) self.action_dist_cls = self.catalog.get_action_dist_cls( framework=self.framework ) - # Perform a test `call()` to force building the dreamer model's variables. - if self.framework == "tf2": - test_obs = np.tile( - np.expand_dims(self.observation_space.sample(), (0, 1)), - reps=(B, T) + (1,) * len(self.observation_space.shape), - ) - if isinstance(self.action_space, gym.spaces.Discrete): - test_actions = np.tile( - np.expand_dims( - one_hot( - self.action_space.sample(), - depth=self.action_space.n, - ), - (0, 1), - ), - reps=(B, T, 1), - ) - else: - test_actions = np.tile( - np.expand_dims(self.action_space.sample(), (0, 1)), - reps=(B, T, 1), - ) - - self.dreamer_model( - inputs=None, - observations=_convert_to_tf(test_obs, dtype=tf.float32), - actions=_convert_to_tf(test_actions, dtype=tf.float32), - is_first=_convert_to_tf(np.ones((B, T)), dtype=tf.bool), - start_is_terminated_BxT=_convert_to_tf( - np.zeros((B * T,)), dtype=tf.bool - ), - gamma=gamma, - ) - # Initialize the critic EMA net: self.critic.init_ema() @@ -122,32 +84,3 @@ def setup(self): def get_initial_state(self) -> Dict: # Use `DreamerModel`'s `get_initial_state` method. return self.dreamer_model.get_initial_state() - - @override(RLModule) - def _forward_inference(self, batch: Dict[str, Any]) -> Dict[str, Any]: - # Call the Dreamer-Model's forward_inference method and return a dict. - actions, next_state = self.dreamer_model.forward_inference( - observations=batch[Columns.OBS], - previous_states=batch[Columns.STATE_IN], - is_first=batch["is_first"], - ) - return {Columns.ACTIONS: actions, Columns.STATE_OUT: next_state} - - @override(RLModule) - def _forward_exploration(self, batch: Dict[str, Any]) -> Dict[str, Any]: - # Call the Dreamer-Model's forward_exploration method and return a dict. - actions, next_state = self.dreamer_model.forward_exploration( - observations=batch[Columns.OBS], - previous_states=batch[Columns.STATE_IN], - is_first=batch["is_first"], - ) - return {Columns.ACTIONS: actions, Columns.STATE_OUT: next_state} - - @override(RLModule) - def _forward_train(self, batch: Dict[str, Any]): - # Call the Dreamer-Model's forward_train method and return its outputs as-is. - return self.dreamer_model.forward_train( - observations=batch[Columns.OBS], - actions=batch[Columns.ACTIONS], - is_first=batch["is_first"], - ) diff --git a/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py b/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py index 87c46e2a2eac..9a0cdafd937d 100644 --- a/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py +++ b/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py @@ -16,13 +16,20 @@ import gymnasium as gym import numpy as np +import tree # pip install dm_tree import ray from ray.rllib.algorithms.dreamerv3 import dreamerv3 +from ray.rllib.connectors.env_to_module import FlattenObservations from ray.rllib.core import DEFAULT_MODULE_ID +from ray.rllib.env.wrappers.atari_wrappers import wrap_atari_for_new_api_stack +from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import one_hot +from ray.rllib.utils.test_utils import check from ray import tune +torch, nn = try_import_torch() + class TestDreamerV3(unittest.TestCase): @classmethod @@ -39,8 +46,7 @@ def test_dreamerv3_compilation(self): # Build a DreamerV3Config object. config = ( dreamerv3.DreamerV3Config() - .framework(eager_tracing=False) - .env_runners(num_env_runners=2) + .env_runners(num_env_runners=0) .training( # Keep things simple. Especially the long dream rollouts seem # to take an enormous amount of time (initially). @@ -52,7 +58,7 @@ def test_dreamerv3_compilation(self): use_float16=False, ) .learners( - num_learners=2, # Try with 2 Learners. + num_learners=2, num_cpus_per_learner=1, num_gpus_per_learner=0, ) @@ -67,23 +73,35 @@ def test_dreamerv3_compilation(self): "Pendulum-v1", ]: print("Env={}".format(env)) + # Add one-hot observations for FrozenLake env. if env == "FrozenLake-v1": - - def env_creator(ctx): - import gymnasium as gym - from ray.rllib.algorithms.dreamerv3.utils.env_runner import ( - OneHot, + config.env_runners( + env_to_module_connector=( + lambda env, spaces, device: FlattenObservations() ) + ) + else: + config.env_runners(env_to_module_connector=None) - return OneHot(gym.make("FrozenLake-v1")) + # Add Atari preprocessing. + if env == "ale_py:ALE/MsPacman-v5": - tune.register_env("frozen-lake-one-hot", env_creator) - env = "frozen-lake-one-hot" + def env_creator(cfg): + return wrap_atari_for_new_api_stack( + gym.make(env, **cfg, render_mode="rgb_array"), + # No frame-stacking. DreamerV3 processes color images with a + # GRU, so partial observability is ok. + framestack=None, + grayscale=False, + ) + + tune.register_env("env", env_creator) + env = "env" config.environment(env) - algo = config.build() - obs_space = algo.env_runner.env.single_observation_space + algo = config.build_algo() + obs_space = algo.env_runner._env_to_module.observation_space act_space = algo.env_runner.env.single_action_space rl_module = algo.env_runner.module @@ -92,12 +110,18 @@ def env_creator(ctx): print(results) # Test dream trajectory w/ recreated observations. sample = algo.replay_buffer.sample() + start_states = rl_module.dreamer_model.get_initial_state() + start_states = tree.map_structure( + # Repeat only the batch dimension (B times). + lambda s: s.unsqueeze(0).repeat(1, *([1] * len(s.shape))), + start_states, + ) dream = rl_module.dreamer_model.dream_trajectory_with_burn_in( - start_states=rl_module.dreamer_model.get_initial_state(), + start_states=start_states, timesteps_burn_in=5, timesteps_H=45, - observations=sample["obs"][:1], # B=1 - actions=( + observations=torch.from_numpy(sample["obs"][:1]), # B=1 + actions=torch.from_numpy( one_hot( sample["actions"], depth=act_space.n, @@ -108,19 +132,19 @@ def env_creator(ctx): :1 ], # B=1 ) - self.assertTrue( - dream["actions_dreamed_t0_to_H_BxT"].shape - == (46, 1) + check( + dream["actions_dreamed_t0_to_H_BxT"].shape, + (46, 1) + ( (act_space.n,) if isinstance(act_space, gym.spaces.Discrete) else tuple(act_space.shape) - ) + ), ) - self.assertTrue(dream["continues_dreamed_t0_to_H_BxT"].shape == (46, 1)) - self.assertTrue( - dream["observations_dreamed_t0_to_H_BxT"].shape - == [46, 1] + list(obs_space.shape) + check(dream["continues_dreamed_t0_to_H_BxT"].shape, (46, 1)) + check( + dream["observations_dreamed_t0_to_H_BxT"].shape, + [46, 1] + list(obs_space.shape), ) algo.stop() @@ -133,11 +157,43 @@ def test_dreamerv3_dreamer_model_sizes(self): # encoder/decoder nets with 5x1024 nodes (which corresponds to XL) regardless of # the `model_size` settings (iff >="S"). expected_num_params_world_model = { + # XS encoder + # kernel=[4, 256], (no bias), layernorm=[256],[256] + # XS reward_predictor + # kernel=[1280, 256], (no bias), layernorm[256],[256] + # kernel=[256, 255] bias=[255] + # 1280=1024 (z-state) + 256 (h-state) + # XS continue_predictor + # kernel=[1280, 256], (no bias), layernorm=[256],[256] + # kernel=[256, 1] bias=[1] + # XS sequence_model + # [ + # pre-MLP: kernel=[1026, 256], (no bias), layernorm=[256],[256], silu + # custom GRU: kernel=[512, 768], (no bias), layernorm=[768],[768] + # ] + # XS decoder + # kernel=[1280, 256], (no bias), layernorm=[256],[256] + # kernel=[256, 4] bias=[4] + # XS posterior_mlp + # kernel=[512, 256], (no bias), layernorm=[256],[256] + # XS posterior_representation_layer + # kernel=[256, 1024], bias=[1024] "XS_cartpole": 2435076, "S_cartpole": 7493380, "M_cartpole": 16206084, "L_cartpole": 37802244, "XL_cartpole": 108353796, + # XS encoder (atari) + # cnn kernel=[4, 4, 3, 24], (no bias), layernorm=[24],[24], + # cnn kernel=[4, 4, 24, 48], (no bias), layernorm=[48],[48], + # cnn kernel=[4, 4, 48, 96], (no bias), layernorm=[96],[96], + # cnn kernel=[4, 4, 96, 192], (no bias), layernorm=[192],[192], + # XS decoder (atari) + # init dense kernel[1280, 3072] bias=[3072] -> reshape into image + # [4, 4, 96, 192], [96], [96] + # [4, 4, 48, 96], [48], [48], + # [4, 4, 24, 48], [24], [24], + # [4, 4, 3, 24], [3] <- no layernorm at end "XS_atari": 7538979, "S_atari": 15687811, "M_atari": 32461635, @@ -209,24 +265,27 @@ def test_dreamerv3_dreamer_model_sizes(self): # Count the generated RLModule's parameters and compare to the # paper's reported numbers ([1] and [3]). num_params_world_model = sum( - np.prod(v.shape.as_list()) - for v in rl_module.world_model.trainable_variables + np.prod(v.shape) + for v in rl_module.world_model.parameters() + if v.requires_grad ) self.assertEqual( num_params_world_model, expected_num_params_world_model[f"{model_size}_{env_name}"], ) num_params_actor = sum( - np.prod(v.shape.as_list()) - for v in rl_module.actor.trainable_variables + np.prod(v.shape) + for v in rl_module.actor.parameters() + if v.requires_grad ) self.assertEqual( num_params_actor, expected_num_params_actor[f"{model_size}_{env_name}"], ) num_params_critic = sum( - np.prod(v.shape.as_list()) - for v in rl_module.critic.trainable_variables + np.prod(v.shape) + for v in rl_module.critic.parameters() + if v.requires_grad ) self.assertEqual( num_params_critic, diff --git a/rllib/algorithms/dreamerv3/tf/dreamerv3_tf_rl_module.py b/rllib/algorithms/dreamerv3/tf/dreamerv3_tf_rl_module.py deleted file mode 100644 index 83c2971527a6..000000000000 --- a/rllib/algorithms/dreamerv3/tf/dreamerv3_tf_rl_module.py +++ /dev/null @@ -1,23 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf - -[2] Mastering Atari with Discrete World Models - 2021 -D. Hafner, T. Lillicrap, M. Norouzi, J. Ba -https://arxiv.org/pdf/2010.02193.pdf -""" -from ray.rllib.algorithms.dreamerv3.dreamerv3_rl_module import DreamerV3RLModule -from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule -from ray.rllib.utils.framework import try_import_tf - -tf1, tf, _ = try_import_tf() - - -class DreamerV3TfRLModule(TfRLModule, DreamerV3RLModule): - """The tf-specific RLModule class for DreamerV3. - - Serves mainly as a thin-wrapper around the `DreamerModel` (a tf.keras.Model) class. - """ - - framework = "tf2" diff --git a/rllib/algorithms/dreamerv3/tf/models/components/__init__.py b/rllib/algorithms/dreamerv3/tf/models/components/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/rllib/algorithms/dreamerv3/tf/models/components/cnn_atari.py b/rllib/algorithms/dreamerv3/tf/models/components/cnn_atari.py deleted file mode 100644 index c0f7ee09b092..000000000000 --- a/rllib/algorithms/dreamerv3/tf/models/components/cnn_atari.py +++ /dev/null @@ -1,112 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf -""" -from typing import Optional - -from ray.rllib.algorithms.dreamerv3.utils import get_cnn_multiplier -from ray.rllib.utils.framework import try_import_tf - -_, tf, _ = try_import_tf() - - -class CNNAtari(tf.keras.Model): - """An image encoder mapping 64x64 RGB images via 4 CNN layers into a 1D space.""" - - def __init__( - self, - *, - model_size: Optional[str] = "XS", - cnn_multiplier: Optional[int] = None, - ): - """Initializes a CNNAtari instance. - - Args: - model_size: The "Model Size" used according to [1] Appendix B. - Use None for manually setting the `cnn_multiplier`. - cnn_multiplier: Optional override for the additional factor used to multiply - the number of filters with each CNN layer. Starting with - 1 * `cnn_multiplier` filters in the first CNN layer, the number of - filters then increases via `2*cnn_multiplier`, `4*cnn_multiplier`, till - `8*cnn_multiplier`. - """ - super().__init__(name="image_encoder") - - cnn_multiplier = get_cnn_multiplier(model_size, override=cnn_multiplier) - - # See appendix C in [1]: - # "We use a similar network architecture but employ layer normalization and - # SiLU as the activation function. For better framework support, we use - # same-padded convolutions with stride 2 and kernel size 3 instead of - # valid-padded convolutions with larger kernels ..." - # HOWEVER: In Danijar's DreamerV3 repo, kernel size=4 is used, so we use it - # here, too. - self.conv_layers = [ - tf.keras.layers.Conv2D( - filters=1 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - tf.keras.layers.Conv2D( - filters=2 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - tf.keras.layers.Conv2D( - filters=4 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - # .. until output is 4 x 4 x [num_filters]. - tf.keras.layers.Conv2D( - filters=8 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - ] - self.layer_normalizations = [] - for _ in range(len(self.conv_layers)): - self.layer_normalizations.append(tf.keras.layers.LayerNormalization()) - # -> 4 x 4 x num_filters -> now flatten. - self.flatten_layer = tf.keras.layers.Flatten(data_format="channels_last") - - @tf.function( - input_signature=[ - tf.TensorSpec( - shape=[None, 64, 64, 3], - dtype=tf.keras.mixed_precision.global_policy().compute_dtype - or tf.float32, - ) - ] - ) - def call(self, inputs): - """Performs a forward pass through the CNN Atari encoder. - - Args: - inputs: The image inputs of shape (B, 64, 64, 3). - """ - # [B, h, w] -> grayscale. - if len(inputs.shape) == 3: - inputs = tf.expand_dims(inputs, -1) - out = inputs - for conv_2d, layer_norm in zip(self.conv_layers, self.layer_normalizations): - out = tf.nn.silu(layer_norm(inputs=conv_2d(out))) - assert out.shape[1] == 4 and out.shape[2] == 4 - return self.flatten_layer(out) diff --git a/rllib/algorithms/dreamerv3/tf/models/components/continue_predictor.py b/rllib/algorithms/dreamerv3/tf/models/components/continue_predictor.py deleted file mode 100644 index d5434d8aca31..000000000000 --- a/rllib/algorithms/dreamerv3/tf/models/components/continue_predictor.py +++ /dev/null @@ -1,94 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf -""" -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_classes, - get_num_z_categoricals, -) -from ray.rllib.utils.framework import try_import_tf, try_import_tfp - -_, tf, _ = try_import_tf() -tfp = try_import_tfp() - - -class ContinuePredictor(tf.keras.Model): - """The world-model network sub-component used to predict the `continue` flags . - - Predicted continue flags are used to produce "dream data" to learn the policy in. - - The continue flags are predicted via a linear output used to parameterize a - Bernoulli distribution, from which simply the mode is used (no stochastic - sampling!). In other words, if the sigmoid of the output of the linear layer is - >0.5, we predict a continuation of the episode, otherwise we predict an episode - terminal. - """ - - def __init__(self, *, model_size: str = "XS"): - """Initializes a ContinuePredictor instance. - - Args: - model_size: The "Model Size" used according to [1] Appendinx B. - Determines the exact size of the underlying MLP. - """ - super().__init__(name="continue_predictor") - self.model_size = model_size - self.mlp = MLP(model_size=model_size, output_layer_size=1) - - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, h, z): - """Performs a forward pass through the continue predictor. - - Args: - h: The deterministic hidden state of the sequence model. [B, dim(h)]. - z: The stochastic discrete representations of the original - observation input. [B, num_categoricals, num_classes]. - """ - # Flatten last two dims of z. - assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) - assert len(z.shape) == 2 - out = tf.concat([h, z], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) - # Send h-cat-z through MLP. - out = self.mlp(out) - # Remove the extra [B, 1] dimension at the end to get a proper Bernoulli - # distribution. Otherwise, tfp will think that the batch dims are [B, 1] - # where they should be just [B]. - logits = tf.cast(tf.squeeze(out, axis=-1), tf.float32) - # Create the Bernoulli distribution object. - bernoulli = tfp.distributions.Bernoulli(logits=logits, dtype=tf.float32) - - # Take the mode (greedy, deterministic "sample"). - continue_ = bernoulli.mode() - - # Return Bernoulli sample (whether to continue) OR (continue?, Bernoulli prob). - return continue_, bernoulli diff --git a/rllib/algorithms/dreamerv3/tf/models/components/conv_transpose_atari.py b/rllib/algorithms/dreamerv3/tf/models/components/conv_transpose_atari.py deleted file mode 100644 index de6088880f90..000000000000 --- a/rllib/algorithms/dreamerv3/tf/models/components/conv_transpose_atari.py +++ /dev/null @@ -1,187 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf - -[2] Mastering Atari with Discrete World Models - 2021 -D. Hafner, T. Lillicrap, M. Norouzi, J. Ba -https://arxiv.org/pdf/2010.02193.pdf -""" -from typing import Optional - -import numpy as np - -from ray.rllib.algorithms.dreamerv3.utils import ( - get_cnn_multiplier, - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf - -_, tf, _ = try_import_tf() - - -class ConvTransposeAtari(tf.keras.Model): - """A Conv2DTranspose decoder to generate Atari images from a latent space. - - Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with - layer normalization) and a diag Gaussian, from which we then sample the final image. - Sampling is done with a fixed stddev=1.0 and using the mean values coming from the - last Conv2DTranspose layer. - """ - - def __init__( - self, - *, - model_size: Optional[str] = "XS", - cnn_multiplier: Optional[int] = None, - gray_scaled: bool, - ): - """Initializes a ConvTransposeAtari instance. - - Args: - model_size: The "Model Size" used according to [1] Appendinx B. - Use None for manually setting the `cnn_multiplier`. - cnn_multiplier: Optional override for the additional factor used to multiply - the number of filters with each CNN transpose layer. Starting with - 8 * `cnn_multiplier` filters in the first CNN transpose layer, the - number of filters then decreases via `4*cnn_multiplier`, - `2*cnn_multiplier`, till `1*cnn_multiplier`. - gray_scaled: Whether the last Conv2DTranspose layer's output has only 1 - color channel (gray_scaled=True) or 3 RGB channels (gray_scaled=False). - """ - super().__init__(name="image_decoder") - - self.model_size = model_size - cnn_multiplier = get_cnn_multiplier(self.model_size, override=cnn_multiplier) - - # The shape going into the first Conv2DTranspose layer. - # We start with a 4x4 channels=8 "image". - self.input_dims = (4, 4, 8 * cnn_multiplier) - - self.gray_scaled = gray_scaled - - # See appendix B in [1]: - # "The decoder starts with a dense layer, followed by reshaping - # to 4 × 4 × C and then inverts the encoder architecture. ..." - self.dense_layer = tf.keras.layers.Dense( - units=int(np.prod(self.input_dims)), - activation=None, - use_bias=True, - ) - # Inverse conv2d stack. See cnn_atari.py for corresponding Conv2D stack. - self.conv_transpose_layers = [ - tf.keras.layers.Conv2DTranspose( - filters=4 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - tf.keras.layers.Conv2DTranspose( - filters=2 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - tf.keras.layers.Conv2DTranspose( - filters=1 * cnn_multiplier, - kernel_size=4, - strides=(2, 2), - padding="same", - # No bias or activation due to layernorm. - activation=None, - use_bias=False, - ), - ] - # Create one LayerNorm layer for each of the Conv2DTranspose layers. - self.layer_normalizations = [] - for _ in range(len(self.conv_transpose_layers)): - self.layer_normalizations.append(tf.keras.layers.LayerNormalization()) - - # Important! No activation or layer norm for last layer as the outputs of - # this one go directly into the diag-gaussian as parameters. - self.output_conv2d_transpose = tf.keras.layers.Conv2DTranspose( - filters=1 if self.gray_scaled else 3, - kernel_size=4, - strides=(2, 2), - padding="same", - activation=None, - use_bias=True, # Last layer does use bias (b/c has no LayerNorm). - ) - # .. until output is 64 x 64 x 3 (or 1 for self.gray_scaled=True). - - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, h, z): - """Performs a forward pass through the Conv2D transpose decoder. - - Args: - h: The deterministic hidden state of the sequence model. - z: The sequence of stochastic discrete representations of the original - observation input. Note: `z` is not used for the dynamics predictor - model (which predicts z from h). - """ - # Flatten last two dims of z. - assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) - assert len(z.shape) == 2 - input_ = tf.concat([h, z], axis=-1) - input_.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) - - # Feed through initial dense layer to get the right number of input nodes - # for the first conv2dtranspose layer. - out = self.dense_layer(input_) - # Reshape to image format. - out = tf.reshape(out, shape=(-1,) + self.input_dims) - - # Pass through stack of Conv2DTransport layers (and layer norms). - for conv_transpose_2d, layer_norm in zip( - self.conv_transpose_layers, self.layer_normalizations - ): - out = tf.nn.silu(layer_norm(inputs=conv_transpose_2d(out))) - # Last output conv2d-transpose layer: - out = self.output_conv2d_transpose(out) - out += 0.5 # See Danijar's code - out_shape = tf.shape(out) - - # Interpret output as means of a diag-Gaussian with std=1.0: - # From [2]: - # "Distributions: The image predictor outputs the mean of a diagonal Gaussian - # likelihood with unit variance, ..." - - # Reshape `out` for the diagonal multi-variate Gaussian (each pixel is its own - # independent (b/c diagonal co-variance matrix) variable). - loc = tf.reshape(out, shape=(out_shape[0], -1)) - - return loc diff --git a/rllib/algorithms/dreamerv3/tf/models/disagree_networks.py b/rllib/algorithms/dreamerv3/tf/models/disagree_networks.py deleted file mode 100644 index 5bc43d1e251f..000000000000 --- a/rllib/algorithms/dreamerv3/tf/models/disagree_networks.py +++ /dev/null @@ -1,94 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf -""" - -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.tf.models.components.representation_layer import ( - RepresentationLayer, -) -from ray.rllib.utils.framework import try_import_tf, try_import_tfp - -_, tf, _ = try_import_tf() -tfp = try_import_tfp() - - -class DisagreeNetworks(tf.keras.Model): - """Predict the RSSM's z^(t+1), given h(t), z^(t), and a(t). - - Disagreement (stddev) between the N networks in this model on what the next z^ would - be are used to produce intrinsic rewards for enhanced, curiosity-based exploration. - - TODO - """ - - def __init__(self, *, num_networks, model_size, intrinsic_rewards_scale): - super().__init__(name="disagree_networks") - - self.model_size = model_size - self.num_networks = num_networks - self.intrinsic_rewards_scale = intrinsic_rewards_scale - - self.mlps = [] - self.representation_layers = [] - - for _ in range(self.num_networks): - self.mlps.append( - MLP( - model_size=self.model_size, - output_layer_size=None, - trainable=True, - ) - ) - self.representation_layers.append( - RepresentationLayer(model_size=self.model_size, name="disagree") - ) - - def call(self, inputs, z, a, training=None): - return self.forward_train(a=a, h=inputs, z=z) - - def compute_intrinsic_rewards(self, h, z, a): - forward_train_outs = self.forward_train(a=a, h=h, z=z) - B = tf.shape(h)[0] - - # Intrinsic rewards are computed as: - # Stddev (between the different nets) of the 32x32 discrete, stochastic - # probabilities. Meaning that if the larger the disagreement - # (stddev) between the nets on what the probabilities for the different - # classes should be, the higher the intrinsic reward. - z_predicted_probs_N_B = forward_train_outs["z_predicted_probs_N_HxB"] - N = len(z_predicted_probs_N_B) - z_predicted_probs_N_B = tf.stack(z_predicted_probs_N_B, axis=0) - # Flatten z-dims (num_categoricals x num_classes). - z_predicted_probs_N_B = tf.reshape(z_predicted_probs_N_B, shape=(N, B, -1)) - - # Compute stddevs over all disagree nets (axis=0). - # Mean over last axis ([num categoricals] x [num classes] folded axis). - stddevs_B_mean = tf.reduce_mean( - tf.math.reduce_std(z_predicted_probs_N_B, axis=0), - axis=-1, - ) - # TEST: - stddevs_B_mean -= tf.reduce_mean(stddevs_B_mean) - # END TEST - return { - "rewards_intrinsic": stddevs_B_mean * self.intrinsic_rewards_scale, - "forward_train_outs": forward_train_outs, - } - - def forward_train(self, a, h, z): - HxB = tf.shape(h)[0] - # Fold z-dims. - z = tf.reshape(z, shape=(HxB, -1)) - # Concat all input components (h, z, and a). - inputs_ = tf.stop_gradient(tf.concat([h, z, a], axis=-1)) - - z_predicted_probs_N_HxB = [ - repr(mlp(inputs_))[1] # [0]=sample; [1]=returned probs - for mlp, repr in zip(self.mlps, self.representation_layers) - ] - # shape=(N, HxB, [num categoricals], [num classes]); N=number of disagree nets. - # HxB -> folded horizon_H x batch_size_B (from dreamed data). - - return {"z_predicted_probs_N_HxB": z_predicted_probs_N_HxB} diff --git a/rllib/algorithms/dreamerv3/tf/__init__.py b/rllib/algorithms/dreamerv3/torch/__init__.py similarity index 100% rename from rllib/algorithms/dreamerv3/tf/__init__.py rename to rllib/algorithms/dreamerv3/torch/__init__.py diff --git a/rllib/algorithms/dreamerv3/tf/dreamerv3_tf_learner.py b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py similarity index 72% rename from rllib/algorithms/dreamerv3/tf/dreamerv3_tf_learner.py rename to rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py index 83f369b4ef6b..5a66fe67c943 100644 --- a/rllib/algorithms/dreamerv3/tf/dreamerv3_tf_learner.py +++ b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py @@ -16,28 +16,35 @@ from ray.rllib.core import DEFAULT_MODULE_ID from ray.rllib.core.columns import Columns from ray.rllib.core.learner.learner import ParamDict -from ray.rllib.core.learner.tf.tf_learner import TfLearner +from ray.rllib.core.learner.torch.torch_learner import TorchLearner from ray.rllib.utils.annotations import override -from ray.rllib.utils.framework import try_import_tf, try_import_tfp -from ray.rllib.utils.tf_utils import symlog, two_hot, clip_gradients +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.torch_utils import symlog, two_hot, clip_gradients from ray.rllib.utils.typing import ModuleID, TensorType -_, tf, _ = try_import_tf() -tfp = try_import_tfp() +torch, nn = try_import_torch() -class DreamerV3TfLearner(DreamerV3Learner, TfLearner): - """Implements DreamerV3 losses and gradient-based update logic in TensorFlow. +class DreamerV3TorchLearner(DreamerV3Learner, TorchLearner): + """Implements DreamerV3 losses and gradient-based update logic in PyTorch. The critic EMA-copy update step can be found in the `DreamerV3Learner` base class, as it is framework independent. - We define 3 local TensorFlow optimizers for the sub components "world_model", + We define 3 local PyTorch optimizers for the sub components "world_model", "actor", and "critic". Each of these optimizers might use a different learning rate, epsilon parameter, and gradient clipping thresholds and procedures. """ - @override(TfLearner) + def build(self) -> None: + super().build() + + # Store loss tensors here temporarily inside the loss function for (exact) + # consumption later by the compute gradients function. + # Keys=(module_id, optimizer_name), values=loss tensors (in-graph). + self._temp_losses = {} + + @override(TorchLearner) def configure_optimizers_for_module( self, module_id: ModuleID, config: DreamerV3Config = None ): @@ -51,42 +58,39 @@ def configure_optimizers_for_module( dreamerv3_module = self._module[module_id] # World Model optimizer. - optim_world_model = tf.keras.optimizers.Adam(epsilon=1e-8) - optim_world_model.build(dreamerv3_module.world_model.trainable_variables) - params_world_model = self.get_parameters(dreamerv3_module.world_model) + optim_world_model = torch.optim.Adam( + dreamerv3_module.world_model.parameters(), + eps=1e-8, + ) self.register_optimizer( module_id=module_id, optimizer_name="world_model", optimizer=optim_world_model, - params=params_world_model, + params=list(dreamerv3_module.world_model.parameters()), lr_or_lr_schedule=config.world_model_lr, ) # Actor optimizer. - optim_actor = tf.keras.optimizers.Adam(epsilon=1e-5) - optim_actor.build(dreamerv3_module.actor.trainable_variables) - params_actor = self.get_parameters(dreamerv3_module.actor) + optim_actor = torch.optim.Adam(dreamerv3_module.actor.parameters(), eps=1e-5) self.register_optimizer( module_id=module_id, optimizer_name="actor", optimizer=optim_actor, - params=params_actor, + params=list(dreamerv3_module.actor.parameters()), lr_or_lr_schedule=config.actor_lr, ) # Critic optimizer. - optim_critic = tf.keras.optimizers.Adam(epsilon=1e-5) - optim_critic.build(dreamerv3_module.critic.trainable_variables) - params_critic = self.get_parameters(dreamerv3_module.critic) + optim_critic = torch.optim.Adam(dreamerv3_module.critic.parameters(), eps=1e-5) self.register_optimizer( module_id=module_id, optimizer_name="critic", optimizer=optim_critic, - params=params_critic, + params=list(dreamerv3_module.critic.parameters()), lr_or_lr_schedule=config.critic_lr, ) - @override(TfLearner) + @override(TorchLearner) def postprocess_gradients_for_module( self, *, @@ -105,7 +109,7 @@ def postprocess_gradients_for_module( grads_sub_dict = self.filter_param_dict_for_optimizer( module_gradients_dict, optimizer ) - # Figure out, which grad clip setting to use. + # Figure out which grad clip setting to use. grad_clip = ( config.world_model_grad_clip_by_global_norm if optimizer_name == "world_model" @@ -114,24 +118,24 @@ def postprocess_gradients_for_module( else config.critic_grad_clip_by_global_norm ) global_norm = clip_gradients( - grads_sub_dict, - grad_clip=grad_clip, - grad_clip_by="global_norm", + grads_sub_dict, grad_clip=grad_clip, grad_clip_by="global_norm" ) module_gradients_dict.update(grads_sub_dict) # DreamerV3 stats have the format: [WORLD_MODEL|ACTOR|CRITIC]_[stats name]. self.metrics.log_dict( { - optimizer_name.upper() + "_gradients_global_norm": global_norm, + optimizer_name.upper() + + "_gradients_global_norm": (global_norm.item()), optimizer_name.upper() + "_gradients_maxabs_after_clipping": ( - tf.reduce_max( - [ - tf.reduce_max(tf.math.abs(g)) - for g in grads_sub_dict.values() - ] - ) + torch.max( + torch.abs( + torch.cat( + [g.flatten() for g in grads_sub_dict.values()] + ) + ) + ).item() ), }, key=module_id, @@ -140,35 +144,59 @@ def postprocess_gradients_for_module( return module_gradients_dict - @override(TfLearner) + @override(TorchLearner) def compute_gradients( self, loss_per_module, - gradient_tape, **kwargs, ): - # Override of the default gradient computation method. - # For DreamerV3, we need to compute gradients over the individual loss terms - # as otherwise, the world model's parameters would have their gradients also - # be influenced by the actor- and critic loss terms/gradient computations. + """Override of the default gradient computation method. + + For DreamerV3, we need to compute gradients over the individual loss terms + as otherwise, the world model's parameters would have their gradients also + be influenced by the actor- and critic loss terms/gradient computations. + """ grads = {} - for component in ["world_model", "actor", "critic"]: - grads.update( - gradient_tape.gradient( - # Take individual loss term from the registered metrics for - # the main module. - self.metrics.peek( - (DEFAULT_MODULE_ID, component.upper() + "_L_total") - ), - self.filter_param_dict_for_optimizer( - self._params, self.get_optimizer(optimizer_name=component) - ), - ) - ) - del gradient_tape + + # Do actor and critic's grad computations first, such that after those two, + # we can zero out the gradients of the world model again (they will have values + # in them from the actor/critic backwards). + for component in ["actor", "critic"]: + optim = self.get_optimizer(DEFAULT_MODULE_ID, component) + optim.zero_grad(set_to_none=True) + # Do the backward pass + loss = self._temp_losses.pop(component.upper()) + loss.backward(retain_graph=True) + optim_grads = { + pid: p.grad + for pid, p in self.filter_param_dict_for_optimizer( + self._params, optim + ).items() + } + for ref, grad in optim_grads.items(): + assert ref not in grads + grads[ref] = grad + + # Now do the world model. + component = "world_model" + optim = self.get_optimizer(DEFAULT_MODULE_ID, component) + optim.zero_grad(set_to_none=True) + # Do the backward pass + loss = self._temp_losses.pop(component.upper()) + loss.backward() + wm_grads = { + pid: p.grad + for pid, p in self.filter_param_dict_for_optimizer( + self._params, optim + ).items() + } + for ref, grad in wm_grads.items(): + assert ref not in grads + grads[ref] = grad + return grads - @override(TfLearner) + @override(TorchLearner) def compute_loss_for_module( self, module_id: ModuleID, @@ -180,7 +208,7 @@ def compute_loss_for_module( prediction_losses = self._compute_world_model_prediction_losses( config=config, rewards_B_T=batch[Columns.REWARDS], - continues_B_T=(1.0 - tf.cast(batch["is_terminated"], tf.float32)), + continues_B_T=(1.0 - batch["is_terminated"].float()), fwd_out=fwd_out, ) @@ -190,11 +218,11 @@ def compute_loss_for_module( ) = self._compute_world_model_dynamics_and_representation_loss( config=config, fwd_out=fwd_out ) - L_dyn = tf.reduce_mean(L_dyn_B_T) - L_rep = tf.reduce_mean(L_rep_B_T) + L_dyn = torch.mean(L_dyn_B_T) + L_rep = torch.mean(L_rep_B_T) # Make sure values for L_rep and L_dyn are the same (they only differ in their # gradients). - tf.assert_equal(L_dyn, L_rep) + assert torch.allclose(L_dyn, L_rep) # Compute the actual total loss using fixed weights described in [1] eq. 4. L_world_model_total_B_T = ( @@ -208,14 +236,14 @@ def compute_loss_for_module( # averaging (over B and T), so we'll do this here as well. This is generally # true for all other loss terms as well (we'll always just average, no summing # over T axis!). - L_world_model_total = tf.reduce_mean(L_world_model_total_B_T) + L_world_model_total = torch.mean(L_world_model_total_B_T) # Log world model loss stats. self.metrics.log_dict( { - "WORLD_MODEL_learned_initial_h": ( - self.module[module_id].world_model.initial_h - ), + "WORLD_MODEL_learned_initial_h": self.module[module_id] + .unwrapped() + .world_model.initial_h.mean(), # Prediction losses. # Decoder (obs) loss. "WORLD_MODEL_L_decoder": prediction_losses["L_decoder"], @@ -241,7 +269,7 @@ def compute_loss_for_module( self.metrics.log_value( (module_id, "WORLD_MODEL_fwd_out_obs_distribution_means_b0xT"), fwd_out["obs_distribution_means_BxT"][: self.config.batch_length_T], - reduce=None, # No reduction, we want the tensor to stay in-tact. + reduce=None, # No reduction, we want the obs tensor to stay in-tact. window=1, # <- single items (should not be mean/ema-reduced over time). ) @@ -268,12 +296,18 @@ def compute_loss_for_module( # Everything goes in as BxT: We are starting a new dream trajectory at every # actually encountered timestep in the batch, so we are creating B*T # trajectories of len `horizon_H`. - dream_data = self.module[module_id].dreamer_model.dream_trajectory( - start_states={ - "h": fwd_out["h_states_BxT"], - "z": fwd_out["z_posterior_states_BxT"], - }, - start_is_terminated=tf.reshape(batch["is_terminated"], [-1]), # -> BxT + dream_data = ( + self.module[module_id] + .unwrapped() + .dreamer_model.dream_trajectory( + start_states={ + "h": fwd_out["h_states_BxT"], + "z": fwd_out["z_posterior_states_BxT"], + }, + start_is_terminated=batch["is_terminated"].reshape(-1), # -> BxT + timesteps_H=config.horizon_H, + gamma=config.gamma, + ) ) if config.report_dream_data: # To reduce this massive amount of data a little, slice out a T=1 piece @@ -305,11 +339,11 @@ def compute_loss_for_module( continues_t0_to_H_BxT=dream_data["continues_dreamed_t0_to_H_BxT"], value_predictions_t0_to_H_BxT=dream_data["values_dreamed_t0_to_H_BxT"], ) - self.metrics.log_value( - key=(module_id, "VALUE_TARGETS_H_BxT"), - value=value_targets_t0_to_Hm1_BxT, - window=1, # <- single items (should not be mean/ema-reduced over time). - ) + # self.metrics.log_value( + # key=(module_id, "VALUE_TARGETS_H_BxT"), + # value=value_targets_t0_to_Hm1_BxT, + # window=1, # <- single items (should not be mean/ema-reduced over time). + # ) CRITIC_L_total = self._compute_critic_loss( module_id=module_id, @@ -327,6 +361,10 @@ def compute_loss_for_module( else: ACTOR_L_total = 0.0 + self._temp_losses["ACTOR"] = ACTOR_L_total + self._temp_losses["CRITIC"] = CRITIC_L_total + self._temp_losses["WORLD_MODEL"] = L_world_model_total + # Return the total loss as a sum of all individual losses. return L_world_model_total + CRITIC_L_total + ACTOR_L_total @@ -357,76 +395,64 @@ def _compute_world_model_prediction_losses( # same as `obs_BxT`. obs_BxT = fwd_out["sampled_obs_symlog_BxT"] obs_distr_means = fwd_out["obs_distribution_means_BxT"] - # In case we wanted to construct a distribution object from the fwd out data, - # we would have to do it like this: - # obs_distr = tfp.distributions.MultivariateNormalDiag( - # loc=obs_distr_means, - # # Scale == 1.0. - # # [2]: "Distributions The image predictor outputs the mean of a diagonal - # # Gaussian likelihood with **unit variance** ..." - # scale_diag=tf.ones_like(obs_distr_means), - # ) # Leave time dim folded (BxT) and flatten all other (e.g. image) dims. - obs_BxT = tf.reshape(obs_BxT, shape=[-1, tf.reduce_prod(obs_BxT.shape[1:])]) + obs_BxT = obs_BxT.reshape(obs_BxT.shape[0], -1) # Squared diff loss w/ sum(!) over all (already folded) obs dims. # decoder_loss_BxT = SUM[ (obs_distr.loc - observations)^2 ] # Note: This is described strangely in the paper (stating a neglogp loss here), # but the author's own implementation actually uses simple MSE with the loc # of the Gaussian. - decoder_loss_BxT = tf.reduce_sum( - tf.math.square(obs_distr_means - obs_BxT), axis=-1 - ) + decoder_loss_BxT = torch.sum(torch.square(obs_distr_means - obs_BxT), dim=-1) # Unfold time rank back in. - decoder_loss_B_T = tf.reshape( - decoder_loss_BxT, (config.batch_size_B_per_learner, config.batch_length_T) + decoder_loss_B_T = decoder_loss_BxT.reshape( + config.batch_size_B_per_learner, config.batch_length_T ) - L_decoder = tf.reduce_mean(decoder_loss_B_T) + L_decoder = torch.mean(decoder_loss_B_T) # The FiniteDiscrete reward bucket distribution computed by our reward # predictor. # [B x num_buckets]. reward_logits_BxT = fwd_out["reward_logits_BxT"] # Learn to produce symlog'd reward predictions. - rewards_symlog_B_T = symlog(tf.cast(rewards_B_T, tf.float32)) + rewards_symlog_B_T = symlog(rewards_B_T) # Fold time dim. - rewards_symlog_BxT = tf.reshape(rewards_symlog_B_T, shape=[-1]) + rewards_symlog_BxT = rewards_symlog_B_T.reshape(-1) # Two-hot encode. - two_hot_rewards_symlog_BxT = two_hot(rewards_symlog_BxT) + two_hot_rewards_symlog_BxT = two_hot(rewards_symlog_BxT, device=self._device) # two_hot_rewards_symlog_BxT=[B*T, num_buckets] - reward_log_pred_BxT = reward_logits_BxT - tf.math.reduce_logsumexp( - reward_logits_BxT, axis=-1, keepdims=True + reward_log_pred_BxT = reward_logits_BxT - torch.logsumexp( + reward_logits_BxT, dim=-1, keepdim=True ) # Multiply with two-hot targets and neg. - reward_loss_two_hot_BxT = -tf.reduce_sum( - reward_log_pred_BxT * two_hot_rewards_symlog_BxT, axis=-1 + reward_loss_two_hot_BxT = -torch.sum( + reward_log_pred_BxT * two_hot_rewards_symlog_BxT, dim=-1 ) # Unfold time rank back in. - reward_loss_two_hot_B_T = tf.reshape( - reward_loss_two_hot_BxT, - (config.batch_size_B_per_learner, config.batch_length_T), + reward_loss_two_hot_B_T = reward_loss_two_hot_BxT.reshape( + config.batch_size_B_per_learner, config.batch_length_T ) - L_reward_two_hot = tf.reduce_mean(reward_loss_two_hot_B_T) + L_reward_two_hot = torch.mean(reward_loss_two_hot_B_T) # Probabilities that episode continues, computed by our continue predictor. # [B] continue_distr = fwd_out["continue_distribution_BxT"] # -log(p) loss # Fold time dim. - continues_BxT = tf.reshape(continues_B_T, shape=[-1]) + continues_BxT = continues_B_T.reshape(-1) continue_loss_BxT = -continue_distr.log_prob(continues_BxT) # Unfold time rank back in. - continue_loss_B_T = tf.reshape( - continue_loss_BxT, (config.batch_size_B_per_learner, config.batch_length_T) + continue_loss_B_T = continue_loss_BxT.reshape( + config.batch_size_B_per_learner, config.batch_length_T ) - L_continue = tf.reduce_mean(continue_loss_B_T) + L_continue = torch.mean(continue_loss_B_T) # Sum all losses together as the "prediction" loss. L_pred_B_T = decoder_loss_B_T + reward_loss_two_hot_B_T + continue_loss_B_T - L_pred = tf.reduce_mean(L_pred_B_T) + L_pred = torch.mean(L_pred_B_T) return { "L_decoder_B_T": decoder_loss_B_T, @@ -458,31 +484,27 @@ def _compute_world_model_dynamics_and_representation_loss( # Actual distribution over stochastic internal states (z) produced by the # encoder. z_posterior_probs_BxT = fwd_out["z_posterior_probs_BxT"] - z_posterior_distr_BxT = tfp.distributions.Independent( - tfp.distributions.OneHotCategorical(probs=z_posterior_probs_BxT), + z_posterior_distr_BxT = torch.distributions.Independent( + torch.distributions.OneHotCategorical(probs=z_posterior_probs_BxT), reinterpreted_batch_ndims=1, ) # Actual distribution over stochastic internal states (z) produced by the # dynamics network. z_prior_probs_BxT = fwd_out["z_prior_probs_BxT"] - z_prior_distr_BxT = tfp.distributions.Independent( - tfp.distributions.OneHotCategorical(probs=z_prior_probs_BxT), + z_prior_distr_BxT = torch.distributions.Independent( + torch.distributions.OneHotCategorical(probs=z_prior_probs_BxT), reinterpreted_batch_ndims=1, ) # Stop gradient for encoder's z-outputs: - sg_z_posterior_distr_BxT = tfp.distributions.Independent( - tfp.distributions.OneHotCategorical( - probs=tf.stop_gradient(z_posterior_probs_BxT) - ), + sg_z_posterior_distr_BxT = torch.distributions.Independent( + torch.distributions.OneHotCategorical(probs=z_posterior_probs_BxT.detach()), reinterpreted_batch_ndims=1, ) # Stop gradient for dynamics model's z-outputs: - sg_z_prior_distr_BxT = tfp.distributions.Independent( - tfp.distributions.OneHotCategorical( - probs=tf.stop_gradient(z_prior_probs_BxT) - ), + sg_z_prior_distr_BxT = torch.distributions.Independent( + torch.distributions.OneHotCategorical(probs=z_prior_probs_BxT.detach()), reinterpreted_batch_ndims=1, ) @@ -492,26 +514,26 @@ def _compute_world_model_dynamics_and_representation_loss( # clipping the dynamics and representation losses below the value of # 1 nat ≈ 1.44 bits. This disables them while they are already minimized well to # focus the world model on its prediction loss" - L_dyn_BxT = tf.math.maximum( - 1.0, - tfp.distributions.kl_divergence( + L_dyn_BxT = torch.clamp( + torch.distributions.kl.kl_divergence( sg_z_posterior_distr_BxT, z_prior_distr_BxT ), + min=1.0, ) # Unfold time rank back in. - L_dyn_B_T = tf.reshape( - L_dyn_BxT, (config.batch_size_B_per_learner, config.batch_length_T) + L_dyn_B_T = L_dyn_BxT.reshape( + config.batch_size_B_per_learner, config.batch_length_T ) - L_rep_BxT = tf.math.maximum( - 1.0, - tfp.distributions.kl_divergence( + L_rep_BxT = torch.clamp( + torch.distributions.kl.kl_divergence( z_posterior_distr_BxT, sg_z_prior_distr_BxT ), + min=1.0, ) # Unfold time rank back in. - L_rep_B_T = tf.reshape( - L_rep_BxT, (config.batch_size_B_per_learner, config.batch_length_T) + L_rep_B_T = L_rep_BxT.reshape( + config.batch_size_B_per_learner, config.batch_length_T ) return L_dyn_B_T, L_rep_B_T @@ -537,7 +559,7 @@ def _compute_actor_loss( Returns: The total actor loss tensor. """ - actor = self.module[module_id].actor + actor = self.module[module_id].unwrapped().actor # Note: `scaled_value_targets_t0_to_Hm1_B` are NOT stop_gradient'd yet. scaled_value_targets_t0_to_Hm1_B = self._compute_scaled_value_targets( @@ -550,9 +572,7 @@ def _compute_actor_loss( ) # Actions actually taken in the dream. - actions_dreamed = tf.stop_gradient(dream_data["actions_dreamed_t0_to_H_BxT"])[ - :-1 - ] + actions_dreamed = dream_data["actions_dreamed_t0_to_H_BxT"][:-1].detach() actions_dreamed_dist_params_t0_to_Hm1_B = dream_data[ "actions_dreamed_dist_params_t0_to_H_BxT" ][:-1] @@ -562,7 +582,9 @@ def _compute_actor_loss( ) # Compute log(p)s of all possible actions in the dream. - if isinstance(self.module[module_id].actor.action_space, gym.spaces.Discrete): + if isinstance( + self.module[module_id].unwrapped().actor.action_space, gym.spaces.Discrete + ): # Note that when we create the Categorical action distributions, we compute # unimix probs, then math.log these and provide these log(p) as "logits" to # the Categorical. So here, we'll continue to work with log(p)s (not @@ -570,13 +592,14 @@ def _compute_actor_loss( logp_actions_t0_to_Hm1_B = actions_dreamed_dist_params_t0_to_Hm1_B # Log probs of actions actually taken in the dream. - logp_actions_dreamed_t0_to_Hm1_B = tf.reduce_sum( + logp_actions_dreamed_t0_to_Hm1_B = torch.sum( actions_dreamed * logp_actions_t0_to_Hm1_B, - axis=-1, + dim=-1, ) # First term of loss function. [1] eq. 11. - logp_loss_H_B = logp_actions_dreamed_t0_to_Hm1_B * tf.stop_gradient( - scaled_value_targets_t0_to_Hm1_B + logp_loss_H_B = ( + logp_actions_dreamed_t0_to_Hm1_B + * scaled_value_targets_t0_to_Hm1_B.detach() ) # Box space. else: @@ -586,22 +609,20 @@ def _compute_actor_loss( # First term of loss function. [1] eq. 11. logp_loss_H_B = scaled_value_targets_t0_to_Hm1_B - assert len(logp_loss_H_B.shape) == 2 + assert logp_loss_H_B.ndim == 2 # Add entropy loss term (second term [1] eq. 11). entropy_H_B = dist_t0_to_Hm1_B.entropy() - assert len(entropy_H_B.shape) == 2 - entropy = tf.reduce_mean(entropy_H_B) + assert entropy_H_B.ndim == 2 + entropy = torch.mean(entropy_H_B) L_actor_reinforce_term_H_B = -logp_loss_H_B L_actor_action_entropy_term_H_B = -config.entropy_scale * entropy_H_B L_actor_H_B = L_actor_reinforce_term_H_B + L_actor_action_entropy_term_H_B # Mask out everything that goes beyond a predicted continue=False boundary. - L_actor_H_B *= tf.stop_gradient(dream_data["dream_loss_weights_t0_to_H_BxT"])[ - :-1 - ] - L_actor = tf.reduce_mean(L_actor_H_B) + L_actor_H_B *= dream_data["dream_loss_weights_t0_to_H_BxT"][:-1].detach() + L_actor = torch.mean(L_actor_H_B) # Log important actor loss stats. self.metrics.log_dict( @@ -611,12 +632,10 @@ def _compute_actor_loss( "ACTOR_value_targets_pct5_ema": actor.ema_value_target_pct5, "ACTOR_action_entropy": entropy, # Individual loss terms. - "ACTOR_L_neglogp_reinforce_term": tf.reduce_mean( + "ACTOR_L_neglogp_reinforce_term": torch.mean( L_actor_reinforce_term_H_B ), - "ACTOR_L_neg_entropy_term": tf.reduce_mean( - L_actor_action_entropy_term_H_B - ), + "ACTOR_L_neg_entropy_term": torch.mean(L_actor_action_entropy_term_H_B), }, key=module_id, window=1, # <- single items (should not be mean/ema-reduced over time). @@ -671,49 +690,52 @@ def _compute_critic_loss( # all the other dream data. # From here on: B=BxT - value_targets_t0_to_Hm1_B = tf.stop_gradient(value_targets_t0_to_Hm1_BxT) + value_targets_t0_to_Hm1_B = value_targets_t0_to_Hm1_BxT.detach() value_symlog_targets_t0_to_Hm1_B = symlog(value_targets_t0_to_Hm1_B) # Fold time rank (for two_hot'ing). - value_symlog_targets_HxB = tf.reshape(value_symlog_targets_t0_to_Hm1_B, (-1,)) - value_symlog_targets_two_hot_HxB = two_hot(value_symlog_targets_HxB) + value_symlog_targets_HxB = value_symlog_targets_t0_to_Hm1_B.view( + -1, + ) + value_symlog_targets_two_hot_HxB = two_hot( + value_symlog_targets_HxB, device=self._device + ) # Unfold time rank. - value_symlog_targets_two_hot_t0_to_Hm1_B = tf.reshape( - value_symlog_targets_two_hot_HxB, - shape=[Hm1, B, value_symlog_targets_two_hot_HxB.shape[-1]], + value_symlog_targets_two_hot_t0_to_Hm1_B = ( + value_symlog_targets_two_hot_HxB.view( + [Hm1, B, value_symlog_targets_two_hot_HxB.shape[-1]] + ) ) # Get (B x T x probs) tensor from return distributions. value_symlog_logits_HxB = dream_data["values_symlog_dreamed_logits_t0_to_HxBxT"] # Unfold time rank and cut last time index to match value targets. - value_symlog_logits_t0_to_Hm1_B = tf.reshape( - value_symlog_logits_HxB, - shape=[H, B, value_symlog_logits_HxB.shape[-1]], + value_symlog_logits_t0_to_Hm1_B = value_symlog_logits_HxB.view( + [H, B, value_symlog_logits_HxB.shape[-1]] )[:-1] - values_log_pred_Hm1_B = ( - value_symlog_logits_t0_to_Hm1_B - - tf.math.reduce_logsumexp( - value_symlog_logits_t0_to_Hm1_B, axis=-1, keepdims=True - ) + values_log_pred_Hm1_B = value_symlog_logits_t0_to_Hm1_B - torch.logsumexp( + value_symlog_logits_t0_to_Hm1_B, dim=-1, keepdim=True ) # Multiply with two-hot targets and neg. - value_loss_two_hot_H_B = -tf.reduce_sum( - values_log_pred_Hm1_B * value_symlog_targets_two_hot_t0_to_Hm1_B, axis=-1 + value_loss_two_hot_H_B = -torch.sum( + values_log_pred_Hm1_B * value_symlog_targets_two_hot_t0_to_Hm1_B, dim=-1 ) # Compute EMA regularization loss. # Expected values (dreamed) from the EMA (slow critic) net. - # Note: Slow critic (EMA) outputs are already stop_gradient'd. - value_symlog_ema_t0_to_Hm1_B = tf.stop_gradient( - dream_data["v_symlog_dreamed_ema_t0_to_H_BxT"] - )[:-1] + value_symlog_ema_t0_to_Hm1_B = dream_data[ + "v_symlog_dreamed_ema_t0_to_H_BxT" + ].detach()[:-1] # Fold time rank (for two_hot'ing). - value_symlog_ema_HxB = tf.reshape(value_symlog_ema_t0_to_Hm1_B, (-1,)) - value_symlog_ema_two_hot_HxB = two_hot(value_symlog_ema_HxB) + value_symlog_ema_HxB = value_symlog_ema_t0_to_Hm1_B.view( + -1, + ) + value_symlog_ema_two_hot_HxB = two_hot( + value_symlog_ema_HxB, device=self._device + ) # Unfold time rank. - value_symlog_ema_two_hot_t0_to_Hm1_B = tf.reshape( - value_symlog_ema_two_hot_HxB, - shape=[Hm1, B, value_symlog_ema_two_hot_HxB.shape[-1]], + value_symlog_ema_two_hot_t0_to_Hm1_B = value_symlog_ema_two_hot_HxB.view( + [Hm1, B, value_symlog_ema_two_hot_HxB.shape[-1]] ) # Compute ema regularizer loss. @@ -724,28 +746,26 @@ def _compute_critic_loss( # with a weight of 1.0, where dist is the bucket'ized distribution output by the # fast critic. sg=stop gradient; mean() -> use the expected EMA values. # Multiply with two-hot targets and neg. - ema_regularization_loss_H_B = -tf.reduce_sum( - values_log_pred_Hm1_B * value_symlog_ema_two_hot_t0_to_Hm1_B, axis=-1 + ema_regularization_loss_H_B = -torch.sum( + values_log_pred_Hm1_B * value_symlog_ema_two_hot_t0_to_Hm1_B, dim=-1 ) L_critic_H_B = value_loss_two_hot_H_B + ema_regularization_loss_H_B # Mask out everything that goes beyond a predicted continue=False boundary. - L_critic_H_B *= tf.stop_gradient(dream_data["dream_loss_weights_t0_to_H_BxT"])[ - :-1 - ] + L_critic_H_B *= dream_data["dream_loss_weights_t0_to_H_BxT"].detach()[:-1] # Reduce over both H- (time) axis and B-axis (mean). - L_critic = tf.reduce_mean(L_critic_H_B) + L_critic = L_critic_H_B.mean() # Log important critic loss stats. self.metrics.log_dict( { "CRITIC_L_total": L_critic, - "CRITIC_L_neg_logp_of_value_targets": tf.reduce_mean( + "CRITIC_L_neg_logp_of_value_targets": torch.mean( value_loss_two_hot_H_B ), - "CRITIC_L_slow_critic_regularization": tf.reduce_mean( + "CRITIC_L_slow_critic_regularization": torch.mean( ema_regularization_loss_H_B ), }, @@ -775,11 +795,11 @@ def _compute_value_targets( self, *, config: DreamerV3Config, - rewards_t0_to_H_BxT: TensorType, - intrinsic_rewards_t1_to_H_BxT: TensorType, - continues_t0_to_H_BxT: TensorType, - value_predictions_t0_to_H_BxT: TensorType, - ) -> TensorType: + rewards_t0_to_H_BxT: torch.Tensor, + intrinsic_rewards_t1_to_H_BxT: torch.Tensor, + continues_t0_to_H_BxT: torch.Tensor, + value_predictions_t0_to_H_BxT: torch.Tensor, + ) -> torch.Tensor: """Helper method computing the value targets. All args are (H, BxT, ...) and in non-symlog'd (real) reward space. @@ -838,7 +858,7 @@ def _compute_value_targets( # Reverse along time axis and cut the last entry (value estimate at very end # cannot be learnt from as it's the same as the ... well ... value estimate). - targets_t0toHm1_BxT = tf.stack(list(reversed(Rs))[:-1], axis=0) + targets_t0toHm1_BxT = torch.stack(list(reversed(Rs))[:-1], dim=0) # targets.shape=[t0 to H-1,BxT] return targets_t0toHm1_BxT @@ -848,9 +868,9 @@ def _compute_scaled_value_targets( *, module_id: ModuleID, config: DreamerV3Config, - value_targets_t0_to_Hm1_BxT: TensorType, - value_predictions_t0_to_Hm1_BxT: TensorType, - ) -> TensorType: + value_targets_t0_to_Hm1_BxT: torch.Tensor, + value_predictions_t0_to_Hm1_BxT: torch.Tensor, + ) -> torch.Tensor: """Helper method computing the scaled value targets. Args: @@ -867,20 +887,20 @@ def _compute_scaled_value_targets( The scaled value targets used by the actor for REINFORCE policy updates (using scaled advantages). See [1] eq. 12 for more details. """ - actor = self.module[module_id].actor + actor = self.module[module_id].unwrapped().actor value_targets_H_B = value_targets_t0_to_Hm1_BxT value_predictions_H_B = value_predictions_t0_to_Hm1_BxT # Compute S: [1] eq. 12. - Per_R_5 = tfp.stats.percentile(value_targets_H_B, 5) - Per_R_95 = tfp.stats.percentile(value_targets_H_B, 95) + Per_R_5 = torch.quantile(value_targets_H_B, 0.05) + Per_R_95 = torch.quantile(value_targets_H_B, 0.95) - # Update EMA values for 5 and 95 percentile, stored as tf variables under actor - # network. + # Update EMA values for 5 and 95 percentile, stored as actor network's + # parameters. # 5 percentile - new_val_pct5 = tf.where( - tf.math.is_nan(actor.ema_value_target_pct5), + new_val_pct5 = torch.where( + torch.isnan(actor.ema_value_target_pct5), # is NaN: Initial values: Just set. Per_R_5, # Later update (something already stored in EMA variable): Update EMA. @@ -889,24 +909,25 @@ def _compute_scaled_value_targets( + (1.0 - config.return_normalization_decay) * Per_R_5 ), ) - actor.ema_value_target_pct5.assign(new_val_pct5) + actor.ema_value_target_pct5.data = new_val_pct5 # 95 percentile - new_val_pct95 = tf.where( - tf.math.is_nan(actor.ema_value_target_pct95), + new_val_pct95 = torch.where( # is NaN: Initial values: Just set. - Per_R_95, + torch.isnan(actor.ema_value_target_pct95), # Later update (something already stored in EMA variable): Update EMA. + Per_R_95, ( config.return_normalization_decay * actor.ema_value_target_pct95 + (1.0 - config.return_normalization_decay) * Per_R_95 ), ) - actor.ema_value_target_pct95.assign(new_val_pct95) + actor.ema_value_target_pct95.data = new_val_pct95 # [1] eq. 11 (first term). offset = actor.ema_value_target_pct5 - invscale = tf.math.maximum( - 1e-8, actor.ema_value_target_pct95 - actor.ema_value_target_pct5 + invscale = torch.clamp( + (actor.ema_value_target_pct95 - actor.ema_value_target_pct5), + min=1e-8, ) scaled_value_targets_H_B = (value_targets_H_B - offset) / invscale scaled_value_predictions_H_B = (value_predictions_H_B - offset) / invscale diff --git a/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py new file mode 100644 index 000000000000..94e1d6b35690 --- /dev/null +++ b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py @@ -0,0 +1,78 @@ +""" +[1] Mastering Diverse Domains through World Models - 2023 +D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap +https://arxiv.org/pdf/2301.04104v1.pdf + +[2] Mastering Atari with Discrete World Models - 2021 +D. Hafner, T. Lillicrap, M. Norouzi, J. Ba +https://arxiv.org/pdf/2010.02193.pdf +""" +from typing import Any, Dict + +import gymnasium as gym +import torch + +from ray.rllib.algorithms.dreamerv3.dreamerv3_rl_module import ( + ACTIONS_ONE_HOT, + DreamerV3RLModule, +) +from ray.rllib.core.columns import Columns +from ray.rllib.core.rl_module.rl_module import RLModule +from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule +from ray.rllib.utils.annotations import override + + +class DreamerV3TorchRLModule(TorchRLModule, DreamerV3RLModule): + """The torch-specific RLModule class for DreamerV3. + + Serves mainly as a thin-wrapper around the `DreamerModel` (a torch.nn.Module) class. + """ + + framework = "torch" + + @override(TorchRLModule) + def _forward_inference(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: + # Call the Dreamer-Model's forward_inference method and return a dict. + with torch.no_grad(): + actions, next_state = self.dreamer_model.forward_inference( + observations=batch[Columns.OBS], + previous_states=batch[Columns.STATE_IN], + is_first=batch["is_first"], + ) + return self._forward_inference_or_exploration_helper(batch, actions, next_state) + + @override(TorchRLModule) + def _forward_exploration(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: + # Call the Dreamer-Model's forward_inference method and return a dict. + with torch.no_grad(): + actions, next_state = self.dreamer_model.forward_exploration( + observations=batch[Columns.OBS], + previous_states=batch[Columns.STATE_IN], + is_first=batch["is_first"], + ) + return self._forward_inference_or_exploration_helper(batch, actions, next_state) + + @override(RLModule) + def _forward_train(self, batch: Dict[str, Any], **kwargs): + # Call the Dreamer-Model's forward_train method and return its outputs as-is. + return self.dreamer_model.forward_train( + observations=batch[Columns.OBS], + actions=batch[Columns.ACTIONS], + is_first=batch["is_first"], + ) + + def _forward_inference_or_exploration_helper(self, batch, actions, next_state): + # Unfold time dimension. + shape = batch[Columns.OBS].shape + B, T = shape[0], shape[1] + actions = actions.view((B, T) + actions.shape[1:]) + + output = { + Columns.ACTIONS: actions, + ACTIONS_ONE_HOT: actions, + Columns.STATE_OUT: next_state, + } + # Undo one-hot actions? + if isinstance(self.action_space, gym.spaces.Discrete): + output[Columns.ACTIONS] = torch.argmax(actions, dim=-1) + return output diff --git a/rllib/algorithms/dreamerv3/tf/models/__init__.py b/rllib/algorithms/dreamerv3/torch/models/__init__.py similarity index 100% rename from rllib/algorithms/dreamerv3/tf/models/__init__.py rename to rllib/algorithms/dreamerv3/torch/models/__init__.py diff --git a/rllib/algorithms/dreamerv3/tf/models/actor_network.py b/rllib/algorithms/dreamerv3/torch/models/actor_network.py similarity index 60% rename from rllib/algorithms/dreamerv3/tf/models/actor_network.py rename to rllib/algorithms/dreamerv3/torch/models/actor_network.py index c4bc6cd93362..11b9afe5b17b 100644 --- a/rllib/algorithms/dreamerv3/tf/models/actor_network.py +++ b/rllib/algorithms/dreamerv3/torch/models/actor_network.py @@ -4,22 +4,16 @@ https://arxiv.org/pdf/2301.04104v1.pdf """ import gymnasium as gym -from gymnasium.spaces import Box, Discrete import numpy as np -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf, try_import_tfp +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() -tfp = try_import_tfp() +torch, nn = try_import_torch() -class ActorNetwork(tf.keras.Model): + +class ActorNetwork(nn.Module): """The `actor` (policy net) of DreamerV3. Consists of a simple MLP for Discrete actions and two MLPs for cont. actions (mean @@ -33,101 +27,80 @@ class ActorNetwork(tf.keras.Model): def __init__( self, *, + input_size: int, model_size: str = "XS", action_space: gym.Space, ): """Initializes an ActorNetwork instance. Args: - model_size: The "Model Size" used according to [1] Appendix B. + input_size: The input size of the actor network. + model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different network sizes. - action_space: The action space of the environment used. + action_space: The action space the our environment used. """ - super().__init__(name="actor") + super().__init__() + self.input_size = input_size self.model_size = model_size self.action_space = action_space # The EMA decay variables used for the [Percentile(R, 95%) - Percentile(R, 5%)] # diff to scale value targets for the actor loss. - self.ema_value_target_pct5 = tf.Variable( - np.nan, trainable=False, name="value_target_pct5" + self.ema_value_target_pct5 = nn.Parameter( + torch.tensor(float("nan")), requires_grad=False ) - self.ema_value_target_pct95 = tf.Variable( - np.nan, trainable=False, name="value_target_pct95" + self.ema_value_target_pct95 = nn.Parameter( + torch.tensor(float("nan")), requires_grad=False ) # For discrete actions, use a single MLP that computes logits. - if isinstance(self.action_space, Discrete): + if isinstance(self.action_space, gym.spaces.Discrete): self.mlp = MLP( + input_size=self.input_size, model_size=self.model_size, output_layer_size=self.action_space.n, - name="actor_mlp", ) # For cont. actions, use separate MLPs for Gaussian mean and stddev. # TODO (sven): In the author's original code repo, this is NOT the case, # inputs are pushed through a shared MLP, then only the two output linear # layers are separate for std- and mean logits. - elif isinstance(action_space, Box): + elif isinstance(action_space, gym.spaces.Box): output_layer_size = np.prod(action_space.shape) self.mlp = MLP( + input_size=self.input_size, model_size=self.model_size, output_layer_size=output_layer_size, - name="actor_mlp_mean", ) self.std_mlp = MLP( + input_size=self.input_size, model_size=self.model_size, output_layer_size=output_layer_size, - name="actor_mlp_std", ) else: raise ValueError(f"Invalid action space: {action_space}") - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, h, z): + def forward(self, h, z, return_distr_params=False): """Performs a forward pass through this policy network. Args: h: The deterministic hidden state of the sequence model. [B, dim(h)]. z: The stochastic discrete representations of the original observation input. [B, num_categoricals, num_classes]. + return_distr_params: Whether to return (as a second tuple item) the action + distribution parameter tensor created by the policy. """ # Flatten last two dims of z. assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) + z_shape = z.shape + z = z.view(z_shape[0], -1) assert len(z.shape) == 2 - out = tf.concat([h, z], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) + out = torch.cat([h, z], dim=-1) # Send h-cat-z through MLP. - action_logits = tf.cast(self.mlp(out), tf.float32) + action_logits = self.mlp(out) - if isinstance(self.action_space, Discrete): - action_probs = tf.nn.softmax(action_logits) + if isinstance(self.action_space, gym.spaces.Discrete): + action_probs = nn.functional.softmax(action_logits, dim=-1) # Add the unimix weighting (1% uniform) to the probs. # See [1]: "Unimix categoricals: We parameterize the categorical @@ -137,21 +110,21 @@ def call(self, h, z): # thus keep log probabilities and KL divergences well behaved." action_probs = 0.99 * action_probs + 0.01 * (1.0 / self.action_space.n) - # Danijar's code does: distr = [Distr class](logits=tf.log(probs)). + # Danijar's code does: distr = [Distr class](logits=torch.log(probs)). # Not sure why we don't directly use the already available probs instead. - action_logits = tf.math.log(action_probs) + action_logits = torch.log(action_probs) # Distribution parameters are the log(probs) directly. distr_params = action_logits distr = self.get_action_dist_object(distr_params) - action = tf.stop_gradient(distr.sample()) + ( - action_probs - tf.stop_gradient(action_probs) + action = distr.sample().float().detach() + ( + action_probs - action_probs.detach() ) - elif isinstance(self.action_space, Box): + elif isinstance(self.action_space, gym.spaces.Box): # Send h-cat-z through MLP to compute stddev logits for Normal dist - std_logits = tf.cast(self.std_mlp(out), tf.float32) + std_logits = self.std_mlp(out) # minstd, maxstd taken from [1] from configs.yaml minstd = 0.1 maxstd = 1.0 @@ -159,15 +132,17 @@ def call(self, h, z): # Distribution parameters are the squashed std_logits and the tanh'd # mean logits. # squash std_logits from (-inf, inf) to (minstd, maxstd) - std_logits = (maxstd - minstd) * tf.sigmoid(std_logits + 2.0) + minstd - mean_logits = tf.tanh(action_logits) + std_logits = (maxstd - minstd) * torch.sigmoid(std_logits + 2.0) + minstd + mean_logits = torch.tanh(action_logits) - distr_params = tf.concat([mean_logits, std_logits], axis=-1) + distr_params = torch.cat([mean_logits, std_logits], dim=-1) distr = self.get_action_dist_object(distr_params) action = distr.sample() - return action, distr_params + if return_distr_params: + return action, distr_params + return action def get_action_dist_object(self, action_dist_params_T_B): """Helper method to create an action distribution object from (T, B, ..) params. @@ -178,24 +153,25 @@ def get_action_dist_object(self, action_dist_params_T_B): tensor for mean and stddev (continuous). Returns: - The tfp action distribution object, from which one can sample, compute + The torch action distribution object, from which one can sample, compute log probs, entropy, etc.. """ if isinstance(self.action_space, gym.spaces.Discrete): # Create the distribution object using the unimix'd logits. - distr = tfp.distributions.OneHotCategorical( - logits=action_dist_params_T_B, - dtype=tf.float32, - ) + distr = torch.distributions.OneHotCategorical(logits=action_dist_params_T_B) elif isinstance(self.action_space, gym.spaces.Box): # Compute Normal distribution from action_logits and std_logits - loc, scale = tf.split(action_dist_params_T_B, 2, axis=-1) - distr = tfp.distributions.Normal(loc=loc, scale=scale) + loc, scale = torch.split( + action_dist_params_T_B, + action_dist_params_T_B.shape[-1] // 2, + dim=-1, + ) + distr = torch.distributions.Normal(loc=loc, scale=scale) # If action_space is a box with multiple dims, make individual dims # independent. - distr = tfp.distributions.Independent(distr, len(self.action_space.shape)) + distr = torch.distributions.Independent(distr, len(self.action_space.shape)) else: raise ValueError(f"Action space {self.action_space} not supported!") diff --git a/rllib/algorithms/dreamerv3/torch/models/components/__init__.py b/rllib/algorithms/dreamerv3/torch/models/components/__init__.py new file mode 100644 index 000000000000..590f20e221c1 --- /dev/null +++ b/rllib/algorithms/dreamerv3/torch/models/components/__init__.py @@ -0,0 +1,37 @@ +import numpy as np + +from ray.rllib.utils import force_list +from ray.rllib.utils.framework import try_import_torch + +torch, _ = try_import_torch() + + +def dreamerv3_normal_initializer(parameters): + """From Danijar Hafner's DreamerV3 JAX repo. + + Used on any layer whenever the config for that layer has `winit="normal"`. + + Note: Not identical with Glorot normal. Differs in the std computation + glorot_std = sqrt(2/(fanin+fanout)) + this_std = sqrt(1/AVG(fanin, fanout)) / [somemagicnumber=0.879...] + """ + for param in force_list(parameters): + if param.dim() > 1: + fanin, fanout = _fans(param.shape) + scale = 1.0 / np.mean([fanin, fanout]) + std = np.sqrt(scale) / 0.87962566103423978 + with torch.no_grad(): + param.normal_(0, std) + param.clamp_(-2, 2) + + +def _fans(shape): + if len(shape) == 0: + return 1, 1 + elif len(shape) == 1: + return shape[0], shape[0] + elif len(shape) == 2: + return shape + else: + space = int(np.prod(shape[:-2])) + return shape[-2] * space, shape[-1] * space diff --git a/rllib/algorithms/dreamerv3/torch/models/components/cnn_atari.py b/rllib/algorithms/dreamerv3/torch/models/components/cnn_atari.py new file mode 100644 index 000000000000..d75abc9086dd --- /dev/null +++ b/rllib/algorithms/dreamerv3/torch/models/components/cnn_atari.py @@ -0,0 +1,70 @@ +""" +[1] Mastering Diverse Domains through World Models - 2023 +D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap +https://arxiv.org/pdf/2301.04104v1.pdf +""" +from typing import Optional + +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + dreamerv3_normal_initializer, +) +from ray.rllib.algorithms.dreamerv3.utils import get_cnn_multiplier +from ray.rllib.core.models.base import ENCODER_OUT +from ray.rllib.core.models.configs import CNNEncoderConfig +from ray.rllib.policy.sample_batch import SampleBatch +from ray.rllib.utils.framework import try_import_torch + +torch, nn = try_import_torch() + + +class CNNAtari(nn.Module): + """An image encoder mapping 64x64 RGB images via 4 CNN layers into a 1D space.""" + + def __init__( + self, + *, + model_size: str = "XS", + cnn_multiplier: Optional[int] = None, + gray_scaled: bool, + ): + """Initializes a CNNAtari instance. + + Args: + model_size: The "Model Size" used according to [1] Appendix B. + Use None for manually setting the `cnn_multiplier`. + cnn_multiplier: Optional override for the additional factor used to multiply + the number of filters with each CNN layer. Starting with + 1 * `cnn_multiplier` filters in the first CNN layer, the number of + filters then increases via `2*cnn_multiplier`, `4*cnn_multiplier`, till + `8*cnn_multiplier`. + gray_scaled: Whether the input is a gray-scaled image (1 color channel) or + not (3 RGB channels). + """ + super().__init__() + + cnn_multiplier = get_cnn_multiplier(model_size, override=cnn_multiplier) + + config = CNNEncoderConfig( + input_dims=[64, 64, 1 if gray_scaled else 3], + cnn_filter_specifiers=[ + [1 * cnn_multiplier, 4, 2], + [2 * cnn_multiplier, 4, 2], + [4 * cnn_multiplier, 4, 2], + [8 * cnn_multiplier, 4, 2], + ], + cnn_use_bias=False, + cnn_use_layernorm=True, + cnn_activation="silu", + cnn_kernel_initializer=dreamerv3_normal_initializer, + flatten_at_end=True, + ) + self.cnn_stack = config.build(framework="torch") + self.output_size = config.output_dims + + def forward(self, inputs): + """Performs a forward pass through the CNN Atari encoder. + + Args: + inputs: The image inputs of shape (B, 64, 64, 3). + """ + return self.cnn_stack({SampleBatch.OBS: inputs})[ENCODER_OUT] diff --git a/rllib/algorithms/dreamerv3/torch/models/components/continue_predictor.py b/rllib/algorithms/dreamerv3/torch/models/components/continue_predictor.py new file mode 100644 index 000000000000..1bc3c64cfb75 --- /dev/null +++ b/rllib/algorithms/dreamerv3/torch/models/components/continue_predictor.py @@ -0,0 +1,62 @@ +""" +[1] Mastering Diverse Domains through World Models - 2023 +D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap +https://arxiv.org/pdf/2301.04104v1.pdf +""" +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.utils.framework import try_import_torch + +torch, nn = try_import_torch() + + +class ContinuePredictor(nn.Module): + """The world-model network sub-component used to predict the `continue` flags . + + Predicted continue flags are used to produce "dream data" to learn the policy in. + + The continue flags are predicted via a linear output used to parameterize a + Bernoulli distribution, from which simply the mode is used (no stochastic + sampling!). In other words, if the sigmoid of the output of the linear layer is + >0.5, we predict a continuation of the episode, otherwise we predict an episode + terminal. + """ + + def __init__(self, *, input_size: int, model_size: str = "XS"): + """Initializes a ContinuePredictor instance. + + Args: + input_size: The input size of the continue predictor. + model_size: The "Model Size" used according to [1] Appendinx B. + Determines the exact size of the underlying MLP. + """ + super().__init__() + + self.mlp = MLP( + input_size=input_size, + model_size=model_size, + output_layer_size=1, + ) + + def forward(self, h, z, return_distribution=False): + """Performs a forward pass through the continue predictor. + + Args: + h: The deterministic hidden state of the sequence model. [B, dim(h)]. + z: The stochastic discrete representations of the original + observation input. [B, num_categoricals, num_classes]. + return_distribution: Whether to return (as a second tuple item) the + Bernoulli distribution object created by the underlying MLP. + """ + z_shape = z.size() + z = z.view(z_shape[0], -1) + + out = torch.cat([h, z], dim=-1) + out = self.mlp(out) + logits = out.squeeze(dim=-1) + bernoulli = torch.distributions.Bernoulli(logits=logits) + # Use the mode of the Bernoulli distribution (greedy, deterministic "sample"). + continue_ = bernoulli.probs > 0.5 + + if return_distribution: + return continue_, bernoulli + return continue_ diff --git a/rllib/algorithms/dreamerv3/torch/models/components/conv_transpose_atari.py b/rllib/algorithms/dreamerv3/torch/models/components/conv_transpose_atari.py new file mode 100644 index 000000000000..30597f52aea0 --- /dev/null +++ b/rllib/algorithms/dreamerv3/torch/models/components/conv_transpose_atari.py @@ -0,0 +1,95 @@ +""" +[1] Mastering Diverse Domains through World Models - 2023 +D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap +https://arxiv.org/pdf/2301.04104v1.pdf +""" +from typing import Optional + +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + dreamerv3_normal_initializer, +) +from ray.rllib.algorithms.dreamerv3.utils import get_cnn_multiplier +from ray.rllib.core.models.configs import CNNTransposeHeadConfig +from ray.rllib.utils.framework import try_import_torch + +torch, nn = try_import_torch() + + +class ConvTransposeAtari(nn.Module): + """A Conv2DTranspose decoder to generate Atari images from a latent space. + + Wraps an initial single linear layer with a stack of 4 Conv2DTranspose layers (with + layer normalization) and a diag Gaussian, from which we then sample the final image. + """ + + def __init__( + self, + *, + input_size: int, + model_size: str = "XS", + cnn_multiplier: Optional[int] = None, + gray_scaled: bool, + ): + """Initializes a ConvTransposeAtari instance. + + Args: + input_size: The input size of the ConvTransposeAtari network. + model_size: The "Model Size" used according to [1] Appendinx B. + Use None for manually setting the `cnn_multiplier`. + cnn_multiplier: Optional override for the additional factor used to multiply + the number of filters with each CNN transpose layer. Starting with + 8 * `cnn_multiplier` filters in the first CNN transpose layer, the + number of filters then decreases via `4*cnn_multiplier`, + `2*cnn_multiplier`, till `1*cnn_multiplier`. + gray_scaled: Whether the last Conv2DTranspose layer's output has only 1 + color channel (gray_scaled=True) or 3 RGB channels (gray_scaled=False). + """ + super().__init__() + + cnn_multiplier = get_cnn_multiplier(model_size, override=cnn_multiplier) + self.gray_scaled = gray_scaled + config = CNNTransposeHeadConfig( + input_dims=[input_size], + initial_image_dims=(4, 4, 8 * cnn_multiplier), + initial_dense_weights_initializer=dreamerv3_normal_initializer, + cnn_transpose_filter_specifiers=[ + [4 * cnn_multiplier, 4, 2], + [2 * cnn_multiplier, 4, 2], + [1 * cnn_multiplier, 4, 2], + [1 if self.gray_scaled else 3, 4, 2], + ], + cnn_transpose_use_bias=False, + cnn_transpose_use_layernorm=True, + cnn_transpose_activation="silu", + cnn_transpose_kernel_initializer=dreamerv3_normal_initializer, + ) + # Make sure the output dims match Atari. + # assert config.output_dims == (64, 64, 1 if self.gray_scaled else 3) + + self._transpose_2d_head = config.build(framework="torch") + + def forward(self, h, z): + """Performs a forward pass through the Conv2D transpose decoder. + + Args: + h: The deterministic hidden state of the sequence model. + z: The sequence of stochastic discrete representations of the original + observation input. Note: `z` is not used for the dynamics predictor + model (which predicts z from h). + """ + z_shape = z.size() + z = z.view(z_shape[0], -1) + + input_ = torch.cat([h, z], dim=-1) + + out = self._transpose_2d_head(input_) + + # Interpret output as means of a diag-Gaussian with std=1.0: + # From [2]: + # "Distributions: The image predictor outputs the mean of a diagonal Gaussian + # likelihood with unit variance, ..." + + # Reshape `out` for the diagonal multi-variate Gaussian (each pixel is its own + # independent (b/c diagonal co-variance matrix) variable). + loc = torch.reshape(out, (z_shape[0], -1)) + return loc diff --git a/rllib/algorithms/dreamerv3/tf/models/components/dynamics_predictor.py b/rllib/algorithms/dreamerv3/torch/models/components/dynamics_predictor.py similarity index 56% rename from rllib/algorithms/dreamerv3/tf/models/components/dynamics_predictor.py rename to rllib/algorithms/dreamerv3/torch/models/components/dynamics_predictor.py index 7daedf90ff5a..14e8a39c829a 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/dynamics_predictor.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/dynamics_predictor.py @@ -5,17 +5,17 @@ """ from typing import Optional -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.tf.models.components.representation_layer import ( - RepresentationLayer, +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + representation_layer, ) -from ray.rllib.algorithms.dreamerv3.utils import get_gru_units -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.algorithms.dreamerv3.utils import get_dense_hidden_units +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class DynamicsPredictor(tf.keras.Model): +class DynamicsPredictor(nn.Module): """The dynamics (or "prior") network described in [1], producing prior z-states. The dynamics net is used to: @@ -28,13 +28,15 @@ class DynamicsPredictor(tf.keras.Model): def __init__( self, *, - model_size: Optional[str] = "XS", + input_size: int, + model_size: str = "XS", num_categoricals: Optional[int] = None, num_classes_per_categorical: Optional[int] = None, ): """Initializes a DynamicsPredictor instance. Args: + input_size: The input size of the dynamics predictor. model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different parameters. num_categoricals: Overrides the number of categoricals used in the z-states. @@ -43,42 +45,30 @@ def __init__( categorical used for the z-states. In [1], 32 is used for any model dimension. """ - super().__init__(name="dynamics_predictor") + super().__init__() self.mlp = MLP( - # In author's original code, the Dynamics Net only has a single layer, no - # matter the model size. + input_size=input_size, num_dense_layers=1, model_size=model_size, output_layer_size=None, ) - # The (prior) z-state generating layer. - self.representation_layer = RepresentationLayer( + representation_layer_input_size = get_dense_hidden_units(model_size) + self.representation_layer = representation_layer.RepresentationLayer( + input_size=representation_layer_input_size, model_size=model_size, num_categoricals=num_categoricals, num_classes_per_categorical=num_classes_per_categorical, ) - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - ] - )(self.call) - - def call(self, h): + def forward(self, h, return_z_probs=False): """Performs a forward pass through the dynamics (or "prior") network. Args: h: The deterministic hidden state of the sequence model. - - Returns: - Tuple consisting of a differentiable z-sample and the probabilities for the - categorical distribution (in the shape of [B, num_categoricals, - num_classes]) that created this sample. + return_z_probs: Whether to return the probabilities for the categorical + distribution (in the shape of [B, num_categoricals, num_classes]) + as a second return value. """ - # Send internal state through MLP. out = self.mlp(h) - # Generate a z vector (stochastic, discrete sample). - return self.representation_layer(out) + return self.representation_layer(out, return_z_probs=return_z_probs) diff --git a/rllib/algorithms/dreamerv3/tf/models/components/mlp.py b/rllib/algorithms/dreamerv3/torch/models/components/mlp.py similarity index 56% rename from rllib/algorithms/dreamerv3/tf/models/components/mlp.py rename to rllib/algorithms/dreamerv3/torch/models/components/mlp.py index 435d9f8544ab..4e8ed5333684 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/mlp.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/mlp.py @@ -9,16 +9,19 @@ """ from typing import Optional +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + dreamerv3_normal_initializer, +) from ray.rllib.algorithms.dreamerv3.utils import ( get_dense_hidden_units, get_num_dense_layers, ) -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class MLP(tf.keras.Model): +class MLP(nn.Module): """An MLP primitive used by several DreamerV3 components and described in [1] Fig 5. MLP=multi-layer perceptron. @@ -29,16 +32,16 @@ class MLP(tf.keras.Model): def __init__( self, *, - model_size: Optional[str] = "XS", + input_size: int, + model_size: str = "XS", num_dense_layers: Optional[int] = None, dense_hidden_units: Optional[int] = None, output_layer_size=None, - trainable: bool = True, - name: Optional[str] = None ): """Initializes an MLP instance. Args: + input_size: The input size of the MLP. model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different network sizes. num_dense_layers: The number of hidden layers in the MLP. If None, @@ -48,57 +51,43 @@ def __init__( output_layer_size: The size of an optional linear (no activation) output layer. If None, no output layer will be added on top of the MLP dense stack. - trainable: Whether the MLP is trainable (updated by an optimizer) or not. - name: An optional name for the MLP keras model. """ - super().__init__(name=name or "mlp") + super().__init__() + + self.output_size = None num_dense_layers = get_num_dense_layers(model_size, override=num_dense_layers) dense_hidden_units = get_dense_hidden_units( model_size, override=dense_hidden_units ) - self.dense_layers = [] + layers = [] for _ in range(num_dense_layers): - self.dense_layers.append( - tf.keras.layers.Dense( - dense_hidden_units, - trainable=trainable, - # Use no biases, iff there is LayerNormalization - # (which there always is), and perform the activation after the - # layer normalization. - activation=None, - use_bias=False, - ) - ) - - self.layer_normalizations = [] - for _ in range(len(self.dense_layers)): - self.layer_normalizations.append( - tf.keras.layers.LayerNormalization(trainable=trainable) - ) + # In this order: layer, normalization, activation. + linear = nn.Linear(input_size, dense_hidden_units, bias=False) + # Use same initializers as the Author in their JAX repo. + dreamerv3_normal_initializer(linear.weight) + layers.append(linear) + layers.append(nn.LayerNorm(dense_hidden_units, eps=0.001)) + layers.append(nn.SiLU()) + input_size = dense_hidden_units + self.output_size = (dense_hidden_units,) self.output_layer = None if output_layer_size: - self.output_layer = tf.keras.layers.Dense( - output_layer_size, activation=None, trainable=trainable - ) + linear = nn.Linear(input_size, output_layer_size, bias=True) + # Use same initializers as the Author in their JAX repo. + dreamerv3_normal_initializer(linear.weight) + nn.init.zeros_(linear.bias) + layers.append(linear) + self.output_size = (output_layer_size,) + + self._net = nn.Sequential(*layers) - def call(self, input_): + def forward(self, input_): """Performs a forward pass through this MLP. Args: input_: The input tensor for the MLP dense stack. """ - out = input_ - - for dense_layer, layer_norm in zip( - self.dense_layers, self.layer_normalizations - ): - # In this order: layer, normalization, activation. - out = tf.nn.silu(layer_norm(dense_layer(out))) - - if self.output_layer is not None: - out = self.output_layer(out) - - return out + return self._net(input_) diff --git a/rllib/algorithms/dreamerv3/tf/models/components/representation_layer.py b/rllib/algorithms/dreamerv3/torch/models/components/representation_layer.py similarity index 74% rename from rllib/algorithms/dreamerv3/tf/models/components/representation_layer.py rename to rllib/algorithms/dreamerv3/torch/models/components/representation_layer.py index ec344f470d5e..caf58c2b6579 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/representation_layer.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/representation_layer.py @@ -9,17 +9,21 @@ """ from typing import Optional +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + dreamerv3_normal_initializer, +) from ray.rllib.algorithms.dreamerv3.utils import ( get_num_z_categoricals, get_num_z_classes, ) -from ray.rllib.utils.framework import try_import_tf, try_import_tfp +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() -tfp = try_import_tfp() +torch, nn = try_import_torch() +if torch: + F = nn.functional -class RepresentationLayer(tf.keras.layers.Layer): +class RepresentationLayer(nn.Module): """A representation (z-state) generating layer. The value for z is the result of sampling from a categorical distribution with @@ -30,13 +34,15 @@ class RepresentationLayer(tf.keras.layers.Layer): def __init__( self, *, - model_size: Optional[str] = "XS", + input_size: int, + model_size: str = "XS", num_categoricals: Optional[int] = None, num_classes_per_categorical: Optional[int] = None, ): """Initializes a RepresentationLayer instance. Args: + input_size: The input size of the representation layer. model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different parameters. num_categoricals: Overrides the number of categoricals used in the z-states. @@ -52,16 +58,17 @@ def __init__( model_size, override=num_classes_per_categorical ) - super().__init__( - name=f"z{self.num_categoricals}x{self.num_classes_per_categorical}" - ) + super().__init__() - self.z_generating_layer = tf.keras.layers.Dense( + self.z_generating_layer = nn.Linear( + input_size, self.num_categoricals * self.num_classes_per_categorical, - activation=None, + bias=True, ) + # Use same initializers as the Author in their JAX repo. + dreamerv3_normal_initializer(self.z_generating_layer.weight) - def call(self, inputs): + def forward(self, inputs, return_z_probs=False): """Produces a discrete, differentiable z-sample from some 1D input tensor. Pushes the input_ tensor through our dense layer, which outputs @@ -80,22 +87,19 @@ def call(self, inputs): (concatenated) outputs of the (image?) encoder + the last hidden deterministic state, or b) the output of the dynamics predictor MLP network. - - Returns: - Tuple consisting of a differentiable z-sample and the probabilities for the - categorical distribution (in the shape of [B, num_categoricals, - num_classes]) that created this sample. + return_z_probs: Whether to return the probabilities for the categorical + distribution (in the shape of [B, num_categoricals, num_classes]) + as a second return value. """ # Compute the logits (no activation) for our `num_categoricals` Categorical # distributions (with `num_classes_per_categorical` classes each). logits = self.z_generating_layer(inputs) # Reshape the logits to [B, num_categoricals, num_classes] - logits = tf.reshape( - logits, - shape=(-1, self.num_categoricals, self.num_classes_per_categorical), + logits = logits.reshape( + -1, self.num_categoricals, self.num_classes_per_categorical ) # Compute the probs (based on logits) via softmax. - probs = tf.nn.softmax(tf.cast(logits, tf.float32)) + probs = F.softmax(logits, dim=-1) # Add the unimix weighting (1% uniform) to the probs. # See [1]: "Unimix categoricals: We parameterize the categorical distributions # for the world model representations and dynamics, as well as for the actor @@ -104,18 +108,18 @@ def call(self, inputs): # probabilities and KL divergences well behaved." probs = 0.99 * probs + 0.01 * (1.0 / self.num_classes_per_categorical) - # Danijar's code does: distr = [Distr class](logits=tf.log(probs)). + # Danijar's code does: distr = [Distr class](logits=torch.log(probs)). # Not sure why we don't directly use the already available probs instead. - logits = tf.math.log(probs) + logits = torch.log(probs) # Create the distribution object using the unimix'd logits. - distribution = tfp.distributions.Independent( - tfp.distributions.OneHotCategorical(logits=logits), + distribution = torch.distributions.Independent( + torch.distributions.OneHotCategorical(logits=logits), reinterpreted_batch_ndims=1, ) # Draw a one-hot sample (B, num_categoricals, num_classes). - sample = tf.cast(distribution.sample(), tf.float32) + sample = distribution.sample() # Make sure we can take gradients "straight-through" the sampling step # by adding the probs and subtracting the sg(probs). Note that `sample` # does not have any gradients as it's the result of a Categorical sample step, @@ -123,8 +127,7 @@ def call(self, inputs): # [1] "The representations are sampled from a vector of softmax distributions # and we take straight-through gradients through the sampling step." # [2] Algorithm 1. - differentiable_sample = tf.cast( - (tf.stop_gradient(sample) + probs - tf.stop_gradient(probs)), - tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32, - ) - return differentiable_sample, probs + differentiable_sample = sample.detach() + probs - probs.detach() + if return_z_probs: + return differentiable_sample, probs + return differentiable_sample diff --git a/rllib/algorithms/dreamerv3/tf/models/components/reward_predictor.py b/rllib/algorithms/dreamerv3/torch/models/components/reward_predictor.py similarity index 59% rename from rllib/algorithms/dreamerv3/tf/models/components/reward_predictor.py rename to rllib/algorithms/dreamerv3/torch/models/components/reward_predictor.py index 3e7cb6de93f9..2733dd2cc132 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/reward_predictor.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/reward_predictor.py @@ -3,21 +3,18 @@ D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap https://arxiv.org/pdf/2301.04104v1.pdf """ -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.tf.models.components.reward_predictor_layer import ( - RewardPredictorLayer, +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + reward_predictor_layer, ) -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.algorithms.dreamerv3.utils import get_dense_hidden_units + +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class RewardPredictor(tf.keras.Model): +class RewardPredictor(nn.Module): """Wrapper of MLP and RewardPredictorLayer to predict rewards for the world model. Predicted rewards are used to produce "dream data" to learn the policy in. @@ -26,6 +23,7 @@ class RewardPredictor(tf.keras.Model): def __init__( self, *, + input_size: int, model_size: str = "XS", num_buckets: int = 255, lower_bound: float = -20.0, @@ -34,6 +32,7 @@ def __init__( """Initializes a RewardPredictor instance. Args: + input_size: The input size of the reward predictor. model_size: The "Model Size" used according to [1] Appendinx B. Determines the exact size of the underlying MLP. num_buckets: The number of buckets to create. Note that the number of @@ -52,61 +51,37 @@ def __init__( rewards to be as high as 400M. Buckets will be created between `lower_bound` and `upper_bound`. """ - super().__init__(name="reward_predictor") - self.model_size = model_size + super().__init__() self.mlp = MLP( + input_size=input_size, model_size=model_size, output_layer_size=None, ) - self.reward_layer = RewardPredictorLayer( + reward_predictor_input_size = get_dense_hidden_units(model_size) + self.reward_layer = reward_predictor_layer.RewardPredictorLayer( + input_size=reward_predictor_input_size, num_buckets=num_buckets, lower_bound=lower_bound, upper_bound=upper_bound, ) - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, h, z): + def forward(self, h, z, return_logits=False): """Computes the expected reward using N equal sized buckets of possible values. Args: h: The deterministic hidden state of the sequence model. [B, dim(h)]. z: The stochastic discrete representations of the original observation input. [B, num_categoricals, num_classes]. + return_logits: Whether to return the logits over the reward buckets + as a second return value (besides the expected reward). """ # Flatten last two dims of z. - assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) - assert len(z.shape) == 2 - out = tf.concat([h, z], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) + z_shape = z.shape + z = z.view(z_shape[0], -1) + out = torch.cat([h, z], dim=-1) # Send h-cat-z through MLP. out = self.mlp(out) # Return a) mean reward OR b) a tuple: (mean reward, logits over the reward # buckets). - return self.reward_layer(out) + return self.reward_layer(out, return_logits=return_logits) diff --git a/rllib/algorithms/dreamerv3/tf/models/components/reward_predictor_layer.py b/rllib/algorithms/dreamerv3/torch/models/components/reward_predictor_layer.py similarity index 64% rename from rllib/algorithms/dreamerv3/tf/models/components/reward_predictor_layer.py rename to rllib/algorithms/dreamerv3/torch/models/components/reward_predictor_layer.py index d68f62cb6780..934e322c5302 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/reward_predictor_layer.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/reward_predictor_layer.py @@ -7,12 +7,15 @@ D. Hafner, T. Lillicrap, M. Norouzi, J. Ba https://arxiv.org/pdf/2010.02193.pdf """ -from ray.rllib.utils.framework import try_import_tf -_, tf, _ = try_import_tf() +from ray.rllib.utils.framework import try_import_torch +torch, nn = try_import_torch() +if torch: + F = nn.functional -class RewardPredictorLayer(tf.keras.layers.Layer): + +class RewardPredictorLayer(nn.Module): """A layer outputting reward predictions using K bins and two-hot encoding. This layer is used in two models in DreamerV3: The reward predictor of the world @@ -28,14 +31,15 @@ class RewardPredictorLayer(tf.keras.layers.Layer): def __init__( self, *, + input_size: int, num_buckets: int = 255, lower_bound: float = -20.0, upper_bound: float = 20.0, - trainable: bool = True, ): """Initializes a RewardPredictorLayer instance. Args: + input_size: The input size of the reward predictor layer. num_buckets: The number of buckets to create. Note that the number of possible symlog'd outcomes from the used distribution is `num_buckets` + 1: @@ -53,58 +57,50 @@ def __init__( `lower_bound` and `upper_bound`. """ self.num_buckets = num_buckets - super().__init__(name=f"reward_layer_{self.num_buckets}buckets") + super().__init__() self.lower_bound = lower_bound self.upper_bound = upper_bound - self.reward_buckets_layer = tf.keras.layers.Dense( - units=self.num_buckets, - activation=None, - # From [1]: - # "We further noticed that the randomly initialized reward predictor and - # critic networks at the start of training can result in large predicted - # rewards that can delay the onset of learning. We initialize the output - # weights of the reward predictor and critic to zeros, which effectively - # alleviates the problem and accelerates early learning." - kernel_initializer="zeros", - bias_initializer="zeros", # zero-bias is default anyways - trainable=trainable, + self.reward_buckets_layer = nn.Linear( + in_features=input_size, out_features=self.num_buckets, bias=True ) + nn.init.zeros_(self.reward_buckets_layer.weight) + nn.init.zeros_(self.reward_buckets_layer.bias) + # self.reward_buckets_layer.weight.data.fill_(0.0) + # self.reward_buckets_layer.bias.data.fill_(0.0) - def call(self, inputs): + def forward(self, inputs, return_logits=False): """Computes the expected reward using N equal sized buckets of possible values. Args: inputs: The input tensor for the layer, which computes the reward bucket weights (logits). [B, dim]. + return_logits: Whether to return the logits over the reward buckets + as a second return value (besides the expected reward). Returns: - A tuple consisting of the expected rewards and the logits that parameterize - the tfp `FiniteDiscrete` distribution object. To get the individual bucket + The expected reward OR a tuple consisting of the expected reward and the + torch `FiniteDiscrete` distribution object. To get the individual bucket probs, do `[FiniteDiscrete object].probs`. """ # Compute the `num_buckets` weights. - assert len(inputs.shape) == 2 - logits = tf.cast(self.reward_buckets_layer(inputs), tf.float32) - # out=[B, `num_buckets`] + logits = self.reward_buckets_layer(inputs) # Compute the expected(!) reward using the formula: # `softmax(Linear(x))` [vectordot] `possible_outcomes`, where # `possible_outcomes` is the even-spaced (binned) encoding of all possible # symexp'd reward/values. - # [2]: "The mean of the reward predictor pφ(ˆrt | zˆt) is used as reward - # sequence rˆ1:H." - probs = tf.nn.softmax(logits) - possible_outcomes = tf.linspace( - self.lower_bound, - self.upper_bound, - self.num_buckets, + probs = F.softmax(logits, dim=-1) + possible_outcomes = torch.linspace( + self.lower_bound, self.upper_bound, self.num_buckets, device=logits.device ) # probs=possible_outcomes=[B, `num_buckets`] # Simple vector dot product (over last dim) to get the mean reward # weighted sum, where all weights sum to 1.0. - expected_rewards = tf.reduce_sum(probs * possible_outcomes, axis=-1) + expected_rewards = torch.sum(probs * possible_outcomes, dim=-1) # expected_rewards=[B] - return expected_rewards, logits + if return_logits: + return expected_rewards, logits + return expected_rewards diff --git a/rllib/algorithms/dreamerv3/tf/models/components/sequence_model.py b/rllib/algorithms/dreamerv3/torch/models/components/sequence_model.py similarity index 50% rename from rllib/algorithms/dreamerv3/tf/models/components/sequence_model.py rename to rllib/algorithms/dreamerv3/torch/models/components/sequence_model.py index fa9666029ce3..1fbd695d54cc 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/sequence_model.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/sequence_model.py @@ -6,20 +6,18 @@ from typing import Optional import gymnasium as gym -import numpy as np -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_classes, - get_num_z_categoricals, +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + dreamerv3_normal_initializer, ) -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.algorithms.dreamerv3.utils import get_gru_units, get_dense_hidden_units +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class SequenceModel(tf.keras.Model): +class SequenceModel(nn.Module): """The "sequence model" of the RSSM, computing ht+1 given (ht, zt, at). Note: The "internal state" always consists of: @@ -44,71 +42,45 @@ class SequenceModel(tf.keras.Model): def __init__( self, *, - model_size: Optional[str] = "XS", + input_size: int, + model_size: str = "XS", action_space: gym.Space, num_gru_units: Optional[int] = None, ): """Initializes a SequenceModel instance. Args: + input_size: The input size of the pre-layer (Dense) of the sequence model. model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the number of GRU units used. - action_space: The action space of the environment used. + action_space: The action space the our environment used. num_gru_units: Overrides the number of GRU units (dimension of the h-state). If None, use the value given through `model_size` (see [1] Appendix B). """ - super().__init__(name="sequence_model") + super().__init__() - self.model_size = model_size + num_gru_units = get_gru_units(model_size, override=num_gru_units) self.action_space = action_space - num_gru_units = get_gru_units(self.model_size, override=num_gru_units) # In Danijar's code, there is an additional layer (units=[model_size]) # prior to the GRU (but always only with 1 layer), which is not mentioned in # the paper. + # In Danijar's code, this layer is called: `img_in`. self.pre_gru_layer = MLP( + input_size=input_size, num_dense_layers=1, - model_size=self.model_size, + model_size=model_size, output_layer_size=None, ) - self.gru_unit = tf.keras.layers.GRU( - num_gru_units, - return_sequences=False, - return_state=False, - # Note: Changing these activations is most likely a bad idea! - # In experiments, setting one of both of them to silu deteriorated - # performance significantly. - # activation=tf.nn.silu, - # recurrent_activation=tf.nn.silu, - ) + gru_input_size = get_dense_hidden_units(model_size) + + # Use a custom GRU implementation w/ Normal init, layernorm, no bias + # (just like Danijar's GRU). + # In Danijar's code, this layer is called: `gru`. + self.gru_unit = DreamerV3GRU(input_size=gru_input_size, cell_size=num_gru_units) - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec( - shape=[None] - + ( - [action_space.n] - if isinstance(action_space, gym.spaces.Discrete) - else list(action_space.shape) - ), - dtype=dl_type, - ), - tf.TensorSpec(shape=[None, num_gru_units], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(self.model_size), - get_num_z_classes(self.model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, a, h, z): + def forward(self, a, h, z): """ Args: @@ -119,26 +91,42 @@ def call(self, a, h, z): observation input. (B, num_categoricals, num_classes_per_categorical). """ # Flatten last two dims of z. - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) - out = tf.concat([z, a], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + ( - self.action_space.n - if isinstance(self.action_space, gym.spaces.Discrete) - else int(np.prod(self.action_space.shape)) - ) - ), - ] - ) + z_shape = z.shape + z = z.view(z_shape[0], -1) + out = torch.cat([z, a], dim=-1) # Pass through pre-GRU layer. out = self.pre_gru_layer(out) - # Pass through (batch-major) GRU (expand axis=1 as the time axis). - h_next = self.gru_unit(tf.expand_dims(out, axis=1), initial_state=h) + # Pass through GRU (add extra time axis at 0 to make time-major). + h_next, _ = self.gru_unit(out.unsqueeze(0), h.unsqueeze(0)) + h_next = h_next.squeeze(0) # Remove extra time dimension again. # Return the GRU's output (the next h-state). return h_next + + +class DreamerV3GRU(nn.Module): + """Analogous to Danijar's JAX GRU unit code.""" + + def __init__(self, input_size, cell_size): + super().__init__() + self.cell_size = cell_size + self.output_size = 3 * self.cell_size + + self.linear = nn.Linear( + input_size + self.cell_size, + self.output_size, + bias=False, + ) + dreamerv3_normal_initializer(list(self.linear.parameters())) + + self.layer_norm = nn.LayerNorm(self.output_size, eps=0.001) + + def forward(self, x, h): + x = torch.cat([h, x], dim=-1) + x = self.linear(x) + x = self.layer_norm(x) + reset, cand, update = torch.split(x, self.cell_size, dim=-1) + reset = torch.sigmoid(reset) + cand = torch.tanh(reset * cand) + update = torch.sigmoid(update - 1) + h = update * cand + (1 - update) * h + return h, h diff --git a/rllib/algorithms/dreamerv3/tf/models/components/vector_decoder.py b/rllib/algorithms/dreamerv3/torch/models/components/vector_decoder.py similarity index 55% rename from rllib/algorithms/dreamerv3/tf/models/components/vector_decoder.py rename to rllib/algorithms/dreamerv3/torch/models/components/vector_decoder.py index e183561f9217..f71931f68f72 100644 --- a/rllib/algorithms/dreamerv3/tf/models/components/vector_decoder.py +++ b/rllib/algorithms/dreamerv3/torch/models/components/vector_decoder.py @@ -5,18 +5,13 @@ """ import gymnasium as gym -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class VectorDecoder(tf.keras.Model): +class VectorDecoder(nn.Module): """A simple vector decoder to reproduce non-image (1D vector) observations. Wraps an MLP for mean parameter computations and a Gaussian distribution, @@ -26,20 +21,20 @@ class VectorDecoder(tf.keras.Model): def __init__( self, *, + input_size: int, model_size: str = "XS", observation_space: gym.Space, ): """Initializes a VectorDecoder instance. Args: + input_size: The input size of the vector decoder. model_size: The "Model Size" used according to [1] Appendinx B. Determines the exact size of the underlying MLP. observation_space: The observation space to decode back into. This must be a Box of shape (d,), where d >= 1. """ - super().__init__(name="vector_decoder") - - self.model_size = model_size + super().__init__() assert ( isinstance(observation_space, gym.spaces.Box) @@ -47,27 +42,12 @@ def __init__( ) self.mlp = MLP( + input_size=input_size, model_size=model_size, output_layer_size=observation_space.shape[0], ) - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - ] - )(self.call) - - def call(self, h, z): + def forward(self, h, z): """Performs a forward pass through the vector encoder. Args: @@ -77,20 +57,10 @@ def call(self, h, z): """ # Flatten last two dims of z. assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) + z_shape = z.shape + z = z.view(z_shape[0], -1) assert len(z.shape) == 2 - out = tf.concat([h, z], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) + out = torch.cat([h, z], dim=-1) # Send h-cat-z through MLP to get mean values of diag gaussian. loc = self.mlp(out) diff --git a/rllib/algorithms/dreamerv3/tf/models/critic_network.py b/rllib/algorithms/dreamerv3/torch/models/critic_network.py similarity index 66% rename from rllib/algorithms/dreamerv3/tf/models/critic_network.py rename to rllib/algorithms/dreamerv3/torch/models/critic_network.py index 4eb9b9940133..d4b5798eb55a 100644 --- a/rllib/algorithms/dreamerv3/tf/models/critic_network.py +++ b/rllib/algorithms/dreamerv3/torch/models/critic_network.py @@ -3,21 +3,17 @@ D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap https://arxiv.org/pdf/2301.04104v1.pdf """ -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.tf.models.components.reward_predictor_layer import ( - RewardPredictorLayer, +from ray.rllib.algorithms.dreamerv3.utils import get_dense_hidden_units +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + reward_predictor_layer, ) -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class CriticNetwork(tf.keras.Model): +class CriticNetwork(nn.Module): """The critic network described in [1], predicting values for policy learning. Contains a copy of itself (EMA net) for weight regularization. @@ -31,6 +27,7 @@ class CriticNetwork(tf.keras.Model): def __init__( self, *, + input_size: int, model_size: str = "XS", num_buckets: int = 255, lower_bound: float = -20.0, @@ -40,6 +37,7 @@ def __init__( """Initializes a CriticNetwork instance. Args: + input_size: The input size of the critic network. model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different network sizes. num_buckets: The number of buckets to create. Note that the number of @@ -65,8 +63,9 @@ def __init__( to produce a regularizer term against the current critic's weights, NOT to compute any target values. """ - super().__init__(name="critic") + super().__init__() + self.input_size = input_size self.model_size = model_size self.ema_decay = ema_decay @@ -76,10 +75,13 @@ def __init__( # the critic loss term such that the weights of this fast critic stay close # to the EMA weights (see below). self.mlp = MLP( + input_size=self.input_size, model_size=self.model_size, output_layer_size=None, ) - self.return_layer = RewardPredictorLayer( + reward_predictor_input_size = get_dense_hidden_units(self.model_size) + self.return_layer = reward_predictor_layer.RewardPredictorLayer( + input_size=reward_predictor_input_size, num_buckets=num_buckets, lower_bound=lower_bound, upper_bound=upper_bound, @@ -89,89 +91,78 @@ def __init__( # target net, BUT not used to compute anything, just for the # weights regularizer term inside the critic loss). self.mlp_ema = MLP( + input_size=self.input_size, model_size=self.model_size, output_layer_size=None, - trainable=False, ) - self.return_layer_ema = RewardPredictorLayer( + self.return_layer_ema = reward_predictor_layer.RewardPredictorLayer( + input_size=reward_predictor_input_size, num_buckets=num_buckets, lower_bound=lower_bound, upper_bound=upper_bound, - trainable=False, ) - # Trace self.call. - dl_type = tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - self.call = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, get_gru_units(model_size)], dtype=dl_type), - tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(model_size), - get_num_z_classes(model_size), - ], - dtype=dl_type, - ), - tf.TensorSpec(shape=[], dtype=tf.bool), - ] - )(self.call) - - def call(self, h, z, use_ema): + def forward(self, h, z, return_logits=False, use_ema=False): """Performs a forward pass through the critic network. Args: h: The deterministic hidden state of the sequence model. [B, dim(h)]. z: The stochastic discrete representations of the original observation input. [B, num_categoricals, num_classes]. + return_logits: Whether also return (as a second tuple item) the logits + computed by the binned return layer (instead of only the value itself). use_ema: Whether to use the EMA-copy of the critic instead of the actual critic to perform this computation. """ # Flatten last two dims of z. assert len(z.shape) == 3 - z_shape = tf.shape(z) - z = tf.reshape(z, shape=(z_shape[0], -1)) + z_shape = z.shape + z = z.view(z_shape[0], -1) assert len(z.shape) == 2 - out = tf.concat([h, z], axis=-1) - out.set_shape( - [ - None, - ( - get_num_z_categoricals(self.model_size) - * get_num_z_classes(self.model_size) - + get_gru_units(self.model_size) - ), - ] - ) + out = torch.cat([h, z], dim=-1) if not use_ema: # Send h-cat-z through MLP. out = self.mlp(out) # Return expected return OR (expected return, probs of bucket values). - return self.return_layer(out) + return self.return_layer(out, return_logits=return_logits) else: out = self.mlp_ema(out) - return self.return_layer_ema(out) + return self.return_layer_ema(out, return_logits=return_logits) def init_ema(self) -> None: """Initializes the EMA-copy of the critic from the critic's weights. - After calling this method, the two networks have identical weights. + After calling this method, the two networks have identical weights and the EMA + net will be non-trainable. """ - vars = self.mlp.trainable_variables + self.return_layer.trainable_variables - vars_ema = self.mlp_ema.variables + self.return_layer_ema.variables - assert len(vars) == len(vars_ema) and len(vars) > 0 - for var, var_ema in zip(vars, vars_ema): - assert var is not var_ema - var_ema.assign(var) + for param_ema, param in zip(self.mlp_ema.parameters(), self.mlp.parameters()): + param_ema.data.copy_(param.data) + # Make all EMA parameters non-trainable. + param_ema.requires_grad = False + assert param_ema.grad is None + + for param_ema, param in zip( + self.return_layer_ema.parameters(), self.return_layer.parameters() + ): + param_ema.data.copy_(param.data) + # Make all EMA parameters non-trainable. + param_ema.requires_grad = False + assert param_ema.grad is None def update_ema(self) -> None: """Updates the EMA-copy of the critic according to the update formula: ema_net=(`ema_decay`*ema_net) + (1.0-`ema_decay`)*critic_net """ - vars = self.mlp.trainable_variables + self.return_layer.trainable_variables - vars_ema = self.mlp_ema.variables + self.return_layer_ema.variables - assert len(vars) == len(vars_ema) and len(vars) > 0 - for var, var_ema in zip(vars, vars_ema): - var_ema.assign(self.ema_decay * var_ema + (1.0 - self.ema_decay) * var) + for param_ema, param in zip(self.mlp_ema.parameters(), self.mlp.parameters()): + param_ema.data.mul_(self.ema_decay).add_( + (1.0 - self.ema_decay) * param.data + ) + + for param_ema, param in zip( + self.return_layer_ema.parameters(), self.return_layer.parameters() + ): + param_ema.data.mul_(self.ema_decay).add_( + (1.0 - self.ema_decay) * param.data + ) diff --git a/rllib/algorithms/dreamerv3/tf/models/dreamer_model.py b/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py similarity index 65% rename from rllib/algorithms/dreamerv3/tf/models/dreamer_model.py rename to rllib/algorithms/dreamerv3/torch/models/dreamer_model.py index e74a283da31d..8e7fa2195285 100644 --- a/rllib/algorithms/dreamerv3/tf/models/dreamer_model.py +++ b/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py @@ -8,23 +8,17 @@ import gymnasium as gym import numpy as np -from ray.rllib.algorithms.dreamerv3.tf.models.disagree_networks import DisagreeNetworks -from ray.rllib.algorithms.dreamerv3.tf.models.actor_network import ActorNetwork -from ray.rllib.algorithms.dreamerv3.tf.models.critic_network import CriticNetwork -from ray.rllib.algorithms.dreamerv3.tf.models.world_model import WorldModel -from ray.rllib.algorithms.dreamerv3.utils import ( - get_gru_units, - get_num_z_categoricals, - get_num_z_classes, -) -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.tf_utils import inverse_symlog +from ray.rllib.algorithms.dreamerv3.torch.models.actor_network import ActorNetwork +from ray.rllib.algorithms.dreamerv3.torch.models.critic_network import CriticNetwork +from ray.rllib.algorithms.dreamerv3.torch.models.world_model import WorldModel +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.torch_utils import inverse_symlog -_, tf, _ = try_import_tf() +torch, nn = try_import_torch() -class DreamerModel(tf.keras.Model): - """The main tf-keras model containing all necessary components for DreamerV3. +class DreamerModel(nn.Module): + """The main PyTorch model containing all necessary components for DreamerV3. Includes: - The world model with encoder, decoder, sequence-model (RSSM), dynamics @@ -43,8 +37,6 @@ def __init__( world_model: WorldModel, actor: ActorNetwork, critic: CriticNetwork, - horizon: int, - gamma: float, use_curiosity: bool = False, intrinsic_rewards_scale: float = 0.1, ): @@ -53,13 +45,12 @@ def __init__( Args: model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different network sizes. - action_space: The action space of the environment used. + action_space: The action space the our environment used. world_model: The WorldModel component. actor: The ActorNetwork component. critic: The CriticNetwork component. - horizon: The dream horizon to use when creating dreamed trajectories. """ - super().__init__(name="dreamer_model") + super().__init__() self.model_size = model_size self.action_space = action_space @@ -69,97 +60,11 @@ def __init__( self.actor = actor self.critic = critic - self.horizon = horizon - self.gamma = gamma - self._comp_dtype = ( - tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 - ) - self.disagree_nets = None if self.use_curiosity: - self.disagree_nets = DisagreeNetworks( - num_networks=8, - model_size=self.model_size, - intrinsic_rewards_scale=intrinsic_rewards_scale, - ) - - self.dream_trajectory = tf.function( - input_signature=[ - { - "h": tf.TensorSpec( - shape=[ - None, - get_gru_units(self.model_size), - ], - dtype=self._comp_dtype, - ), - "z": tf.TensorSpec( - shape=[ - None, - get_num_z_categoricals(self.model_size), - get_num_z_classes(self.model_size), - ], - dtype=self._comp_dtype, - ), - }, - tf.TensorSpec(shape=[None], dtype=tf.bool), - ] - )(self.dream_trajectory) - - def call( - self, - inputs, - observations, - actions, - is_first, - start_is_terminated_BxT, - gamma, - ): - """Main call method for building this model in order to generate its variables. - - Note: This method should NOT be used by users directly. It's purpose is only to - perform all forward passes necessary to define all variables of the DreamerV3. - """ - - # Forward passes through all models are enough to build all trainable and - # non-trainable variables: - - # World model. - results = self.world_model.forward_train( - observations, - actions, - is_first, - ) - # Actor. - _, distr_params = self.actor( - h=results["h_states_BxT"], - z=results["z_posterior_states_BxT"], - ) - # Critic. - values, _ = self.critic( - h=results["h_states_BxT"], - z=results["z_posterior_states_BxT"], - use_ema=tf.convert_to_tensor(False), - ) + raise NotImplementedError - # Dream pipeline. - dream_data = self.dream_trajectory( - start_states={ - "h": results["h_states_BxT"], - "z": results["z_posterior_states_BxT"], - }, - start_is_terminated=start_is_terminated_BxT, - ) - - return { - "world_model_fwd": results, - "dream_data": dream_data, - "actions": actions, - "values": values, - } - - @tf.function - def forward_inference(self, observations, previous_states, is_first, training=None): + def forward_inference(self, observations, previous_states, is_first): """Performs a (non-exploring) action computation step given obs and states. Note that all input data should not have a time rank (only a batch dimension). @@ -182,16 +87,15 @@ def forward_inference(self, observations, previous_states, is_first, training=No is_first=is_first, ) # Compute action using our actor network and the current states. - _, distr_params = self.actor(h=states["h"], z=states["z"]) + _, distr_params = self.actor( + h=states["h"], z=states["z"], return_distr_params=True + ) # Use the mode of the distribution (Discrete=argmax, Normal=mean). distr = self.actor.get_action_dist_object(distr_params) - actions = distr.mode() + actions = distr.mode return actions, {"h": states["h"], "z": states["z"], "a": actions} - @tf.function - def forward_exploration( - self, observations, previous_states, is_first, training=None - ): + def forward_exploration(self, observations, previous_states, is_first): """Performs an exploratory action computation step given obs and states. Note that all input data should not have a time rank (only a batch dimension). @@ -214,7 +118,7 @@ def forward_exploration( is_first=is_first, ) # Compute action using our actor network and the current states. - actions, _ = self.actor(h=states["h"], z=states["z"]) + actions = self.actor(h=states["h"], z=states["z"]) return actions, {"h": states["h"], "z": states["z"], "a": actions} def forward_train(self, observations, actions, is_first): @@ -245,15 +149,16 @@ def forward_train(self, observations, actions, is_first): is_first=is_first, ) - @tf.function def get_initial_state(self): - """Returns the (current) initial state of the dreamer model (a, h-, z-states). + """Returns the initial state of the dreamer model (a, h-, z-states). An initial state is generated using the previous action, the tanh of the (learned) h-state variable and the dynamics predictor (or "prior net") to compute z^0 from h0. In this last step, it is important that we do NOT sample the z^-state (as we would usually do during dreaming), but rather take the mode (argmax, then one-hot again). + + Note that the initial state is returned without batch dimension. """ states = self.world_model.get_initial_state() @@ -262,16 +167,10 @@ def get_initial_state(self): if isinstance(self.action_space, gym.spaces.Discrete) else np.prod(self.action_space.shape) ) - states["a"] = tf.zeros( - ( - 1, - action_dim, - ), - dtype=tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32, - ) + states["a"] = torch.zeros((action_dim,), dtype=torch.float32) return states - def dream_trajectory(self, start_states, start_is_terminated): + def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma): """Dreams trajectories of length H from batch of h- and z-states. Note that incoming data will have the shapes (BxT, ...), where the original @@ -288,13 +187,15 @@ def dream_trajectory(self, start_states, start_is_terminated): start_is_terminated: Float flags of shape (B,) indicating whether the first timesteps of each batch row is already a terminated timestep (given by the actual environment). + timesteps_H: The number of timesteps to dream for. + gamma: The discount factor gamma. """ # Dreamed actions (one-hot encoded for discrete actions). a_dreamed_t0_to_H = [] a_dreamed_dist_params_t0_to_H = [] - h = start_states["h"] - z = start_states["z"] + h = start_states["h"].detach() + z = start_states["z"].detach() # GRU outputs. h_states_t0_to_H = [h] @@ -309,112 +210,101 @@ def dream_trajectory(self, start_states, start_is_terminated): # with `a = stop_gradient(sample(probs)) + probs - stop_gradient(probs)`, # we otherwise would add dependencies of the `-log(pi(a|s))` REINFORCE loss # term on actions further back in the trajectory. - h=tf.stop_gradient(h), - z=tf.stop_gradient(z), + h=h.detach(), + z=z.detach(), + return_distr_params=True, ) a_dreamed_t0_to_H.append(a) a_dreamed_dist_params_t0_to_H.append(a_dist_params) - for i in range(self.horizon): + for i in range(timesteps_H): # Move one step in the dream using the RSSM. - h = self.world_model.sequence_model(a=a, h=h, z=z) - h_states_t0_to_H.append(h) + with torch.no_grad(): + h = self.world_model.sequence_model(a=a, h=h, z=z) + h_states_t0_to_H.append(h) - # Compute prior z using dynamics model. - z, _ = self.world_model.dynamics_predictor(h=h) - z_states_prior_t0_to_H.append(z) + # Compute prior z using dynamics model. + z = self.world_model.dynamics_predictor(h=h) + z_states_prior_t0_to_H.append(z) # Compute `a` using actor network. a, a_dist_params = self.actor( - h=tf.stop_gradient(h), - z=tf.stop_gradient(z), + h=h.detach(), + z=z.detach(), + return_distr_params=True, ) a_dreamed_t0_to_H.append(a) a_dreamed_dist_params_t0_to_H.append(a_dist_params) - h_states_H_B = tf.stack(h_states_t0_to_H, axis=0) # (T, B, ...) - h_states_HxB = tf.reshape(h_states_H_B, [-1] + h_states_H_B.shape.as_list()[2:]) + h_states_H_B = torch.stack(h_states_t0_to_H, dim=0) # (T, B, ...) + h_states_HxB = h_states_H_B.reshape([-1] + list(h_states_H_B.shape[2:])) - z_states_prior_H_B = tf.stack(z_states_prior_t0_to_H, axis=0) # (T, B, ...) - z_states_prior_HxB = tf.reshape( - z_states_prior_H_B, [-1] + z_states_prior_H_B.shape.as_list()[2:] + z_states_prior_H_B = torch.stack(z_states_prior_t0_to_H, dim=0) # (T, B, ...) + z_states_prior_HxB = z_states_prior_H_B.reshape( + [-1] + list(z_states_prior_H_B.shape[2:]) ) - a_dreamed_H_B = tf.stack(a_dreamed_t0_to_H, axis=0) # (T, B, ...) - a_dreamed_dist_params_H_B = tf.stack(a_dreamed_dist_params_t0_to_H, axis=0) + a_dreamed_H_B = torch.stack(a_dreamed_t0_to_H, dim=0) # (T, B, ...) + a_dreamed_dist_params_H_B = torch.stack(a_dreamed_dist_params_t0_to_H, dim=0) # Compute r using reward predictor. - r_dreamed_HxB, _ = self.world_model.reward_predictor( - h=h_states_HxB, z=z_states_prior_HxB - ) - r_dreamed_H_B = tf.reshape( - inverse_symlog(r_dreamed_HxB), shape=[self.horizon + 1, -1] - ) + with torch.no_grad(): + r_dreamed_H_B = inverse_symlog( + self.world_model.reward_predictor(h=h_states_HxB, z=z_states_prior_HxB) + ) + r_dreamed_H_B = r_dreamed_H_B.reshape([timesteps_H + 1, -1]) # Compute intrinsic rewards. if self.use_curiosity: results_HxB = self.disagree_nets.compute_intrinsic_rewards( h=h_states_HxB, z=z_states_prior_HxB, - a=tf.reshape(a_dreamed_H_B, [-1] + a_dreamed_H_B.shape.as_list()[2:]), + a=a_dreamed_H_B.reshape([-1] + a_dreamed_H_B.shape[2:]), ) - # TODO (sven): Wrong? -> Cut out last timestep as we always predict z-states - # for the NEXT timestep and derive ri (for the NEXT timestep) from the - # disagreement between our N disagreee nets. - r_intrinsic_H_B = tf.reshape( - results_HxB["rewards_intrinsic"], shape=[self.horizon + 1, -1] - )[ - 1: - ] # cut out first ts instead + r_intrinsic_H_B = results_HxB["rewards_intrinsic"] + r_intrinsic_H_B = r_intrinsic_H_B.reshape([timesteps_H + 1, -1])[1:] curiosity_forward_train_outs = results_HxB["forward_train_outs"] del results_HxB # Compute continues using continue predictor. - c_dreamed_HxB, _ = self.world_model.continue_predictor( - h=h_states_HxB, - z=z_states_prior_HxB, - ) - c_dreamed_H_B = tf.reshape(c_dreamed_HxB, [self.horizon + 1, -1]) + with torch.no_grad(): + c_dreamed_HxB = self.world_model.continue_predictor( + h=h_states_HxB, + z=z_states_prior_HxB, + ) + c_dreamed_H_B = c_dreamed_HxB.reshape([timesteps_H + 1, -1]) # Force-set first `continue` flags to False iff `start_is_terminated`. # Note: This will cause the loss-weights for this row in the batch to be # completely zero'd out. In general, we don't use dreamed data past any # predicted (or actual first) continue=False flags. - c_dreamed_H_B = tf.concat( - [ - 1.0 - - tf.expand_dims( - tf.cast(start_is_terminated, tf.float32), - 0, - ), - c_dreamed_H_B[1:], - ], - axis=0, + c_dreamed_H_B = torch.cat( + [1.0 - start_is_terminated.unsqueeze(0).float(), c_dreamed_H_B[1:]], dim=0 ) # Loss weights for each individual dreamed timestep. Zero-out all timesteps # that lie past continue=False flags. B/c our world model does NOT learn how # to skip terminal/reset episode boundaries, dreamed data crossing such a # boundary should not be used for critic/actor learning either. - dream_loss_weights_H_B = ( - tf.math.cumprod(self.gamma * c_dreamed_H_B, axis=0) / self.gamma - ) + dream_loss_weights_H_B = torch.cumprod(gamma * c_dreamed_H_B, dim=0) / gamma # Compute the value estimates. v, v_symlog_dreamed_logits_HxB = self.critic( h=h_states_HxB, z=z_states_prior_HxB, use_ema=False, + return_logits=True, ) v_dreamed_HxB = inverse_symlog(v) - v_dreamed_H_B = tf.reshape(v_dreamed_HxB, shape=[self.horizon + 1, -1]) + v_dreamed_H_B = v_dreamed_HxB.reshape([timesteps_H + 1, -1]) - v_symlog_dreamed_ema_HxB, _ = self.critic( + v_symlog_dreamed_ema_HxB = self.critic( h=h_states_HxB, z=z_states_prior_HxB, + return_logits=False, use_ema=True, ) - v_symlog_dreamed_ema_H_B = tf.reshape( - v_symlog_dreamed_ema_HxB, shape=[self.horizon + 1, -1] + v_symlog_dreamed_ema_H_B = v_symlog_dreamed_ema_HxB.reshape( + [timesteps_H + 1, -1] ) ret = { @@ -436,7 +326,7 @@ def dream_trajectory(self, start_states, start_is_terminated): ret.update(curiosity_forward_train_outs) if isinstance(self.action_space, gym.spaces.Discrete): - ret["actions_ints_dreamed_t0_to_H_B"] = tf.argmax(a_dreamed_H_B, axis=-1) + ret["actions_ints_dreamed_t0_to_H_B"] = torch.argmax(a_dreamed_H_B, dim=-1) return ret @@ -472,7 +362,6 @@ def dream_trajectory_with_burn_in( actions: The batch (B, T, ...) of actions to use during a) burn-in over the first `timesteps_burn_in` timesteps and - possibly - b) during actual dreaming, iff use_sampled_actions_in_dream=True. - If applicable, actions must already be one-hot'd. use_sampled_actions_in_dream: If True, instead of using our actor network to compute fresh actions, we will use the one provided via the `actions` argument. Note that in the latter case, the `actions` time dimension @@ -490,9 +379,9 @@ def dream_trajectory_with_burn_in( states = start_states for i in range(timesteps_burn_in): states = self.world_model.forward_inference( - observations=observations[:, i], + observations=observations[:, i : i + 1], previous_states=states, - is_first=tf.fill((B,), 1.0 if i == 0 else 0.0), + is_first=torch.full((B,), 1.0 if i == 0 else 0.0), ) states["a"] = actions[:, i] @@ -512,7 +401,7 @@ def dream_trajectory_with_burn_in( h_states_t0_to_H.append(h) # Compute z from h, using the dynamics model (we don't have an actual # observation at this timestep). - z, _ = self.world_model.dynamics_predictor(h=h) + z = self.world_model.dynamics_predictor(h=h) z_states_prior_t0_to_H.append(z) # Compute next dreamed action or use sampled one or random one. @@ -520,38 +409,30 @@ def dream_trajectory_with_burn_in( a = actions[:, timesteps_burn_in + j] elif use_random_actions_in_dream: if isinstance(self.action_space, gym.spaces.Discrete): - a = tf.random.randint((B,), 0, self.action_space.n, tf.int64) - a = tf.one_hot( - a, - depth=self.action_space.n, - dtype=tf.keras.mixed_precision.global_policy().compute_dtype - or tf.float32, - ) - # TODO: Support cont. action spaces with bound other than 0.0 and 1.0. + a = torch.randint(self.action_space.n, (B,), dtype=torch.int64) + a = torch.nn.functional.one_hot(a, num_classes=self.action_space.n) else: - a = tf.random.uniform( - shape=(B,) + self.action_space.shape, - dtype=self.action_space.dtype, + a = torch.rand( + (B,) + self.action_space.shape, dtype=self.action_space.dtype ) else: - a, _ = self.actor(h=h, z=z) + a = self.actor(h=h, z=z) a_t0_to_H.append(a) states = {"h": h, "z": z, "a": a} # Fold time-rank for upcoming batch-predictions (no sequences needed anymore). - h_states_t0_to_H_B = tf.stack(h_states_t0_to_H, axis=0) - h_states_t0_to_HxB = tf.reshape( - h_states_t0_to_H_B, shape=[-1] + h_states_t0_to_H_B.shape.as_list()[2:] + h_states_t0_to_H_B = torch.stack(h_states_t0_to_H, dim=0) + h_states_t0_to_HxB = h_states_t0_to_H_B.reshape( + [-1] + list(h_states_t0_to_H_B.shape[2:]) ) - z_states_prior_t0_to_H_B = tf.stack(z_states_prior_t0_to_H, axis=0) - z_states_prior_t0_to_HxB = tf.reshape( - z_states_prior_t0_to_H_B, - shape=[-1] + z_states_prior_t0_to_H_B.shape.as_list()[2:], + z_states_prior_t0_to_H_B = torch.stack(z_states_prior_t0_to_H, dim=0) + z_states_prior_t0_to_HxB = z_states_prior_t0_to_H_B.reshape( + [-1] + list(z_states_prior_t0_to_H_B.shape[2:]) ) - a_t0_to_H_B = tf.stack(a_t0_to_H, axis=0) + a_t0_to_H_B = torch.stack(a_t0_to_H, dim=0) # Compute o using decoder. o_dreamed_t0_to_HxB = self.world_model.decoder( @@ -562,16 +443,18 @@ def dream_trajectory_with_burn_in( o_dreamed_t0_to_HxB = inverse_symlog(o_dreamed_t0_to_HxB) # Compute r using reward predictor. - r_dreamed_t0_to_HxB, _ = self.world_model.reward_predictor( - h=h_states_t0_to_HxB, - z=z_states_prior_t0_to_HxB, - ) - r_dreamed_t0_to_HxB = inverse_symlog(r_dreamed_t0_to_HxB) + r_dreamed_t0_to_H_B = inverse_symlog( + self.world_model.reward_predictor( + h=h_states_t0_to_HxB, + z=z_states_prior_t0_to_HxB, + ) + ).reshape([-1, B]) + # Compute continues using continue predictor. - c_dreamed_t0_to_HxB, _ = self.world_model.continue_predictor( + c_dreamed_t0_to_H_B = self.world_model.continue_predictor( h=h_states_t0_to_HxB, z=z_states_prior_t0_to_HxB, - ) + ).reshape([-1, B]) # Return everything as time-major (H, B, ...), where H is the timesteps dreamed # (NOT burn-in'd) and B is a batch dimension (this might or might not include @@ -581,11 +464,11 @@ def dream_trajectory_with_burn_in( "h_states_t0_to_H_BxT": h_states_t0_to_H_B, "z_states_prior_t0_to_H_BxT": z_states_prior_t0_to_H_B, # Unfold time-ranks in predictions. - "observations_dreamed_t0_to_H_BxT": tf.reshape( + "observations_dreamed_t0_to_H_BxT": torch.reshape( o_dreamed_t0_to_HxB, [-1, B] + list(observations.shape)[2:] ), - "rewards_dreamed_t0_to_H_BxT": tf.reshape(r_dreamed_t0_to_HxB, (-1, B)), - "continues_dreamed_t0_to_H_BxT": tf.reshape(c_dreamed_t0_to_HxB, (-1, B)), + "rewards_dreamed_t0_to_H_BxT": r_dreamed_t0_to_H_B, + "continues_dreamed_t0_to_H_BxT": c_dreamed_t0_to_H_B, } # Figure out action key (random, sampled from env, dreamed?). @@ -599,8 +482,8 @@ def dream_trajectory_with_burn_in( # Also provide int-actions, if discrete action space. if isinstance(self.action_space, gym.spaces.Discrete): - ret[re.sub("^actions_", "actions_ints_", key)] = tf.argmax( - a_t0_to_H_B, axis=-1 + ret[re.sub("^actions_", "actions_ints_", key)] = torch.argmax( + a_t0_to_H_B, dim=-1 ) return ret diff --git a/rllib/algorithms/dreamerv3/tf/models/world_model.py b/rllib/algorithms/dreamerv3/torch/models/world_model.py similarity index 70% rename from rllib/algorithms/dreamerv3/tf/models/world_model.py rename to rllib/algorithms/dreamerv3/torch/models/world_model.py index f3bd20ff4667..c8851ea8dd71 100644 --- a/rllib/algorithms/dreamerv3/tf/models/world_model.py +++ b/rllib/algorithms/dreamerv3/torch/models/world_model.py @@ -6,33 +6,35 @@ from typing import Optional import gymnasium as gym +import numpy as np import tree # pip install dm_tree -from ray.rllib.algorithms.dreamerv3.tf.models.components.continue_predictor import ( +from ray.rllib.algorithms.dreamerv3.torch.models.components.continue_predictor import ( ContinuePredictor, ) -from ray.rllib.algorithms.dreamerv3.tf.models.components.dynamics_predictor import ( +from ray.rllib.algorithms.dreamerv3.torch.models.components.dynamics_predictor import ( DynamicsPredictor, ) -from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP -from ray.rllib.algorithms.dreamerv3.tf.models.components.representation_layer import ( - RepresentationLayer, +from ray.rllib.algorithms.dreamerv3.torch.models.components.mlp import MLP +from ray.rllib.algorithms.dreamerv3.torch.models.components import ( + representation_layer, ) -from ray.rllib.algorithms.dreamerv3.tf.models.components.reward_predictor import ( +from ray.rllib.algorithms.dreamerv3.torch.models.components.reward_predictor import ( RewardPredictor, ) -from ray.rllib.algorithms.dreamerv3.tf.models.components.sequence_model import ( +from ray.rllib.algorithms.dreamerv3.torch.models.components.sequence_model import ( SequenceModel, ) -from ray.rllib.algorithms.dreamerv3.utils import get_gru_units -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.tf_utils import symlog +from ray.rllib.algorithms.dreamerv3.utils import get_dense_hidden_units, get_gru_units +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.torch_utils import symlog +torch, nn = try_import_torch() +if torch: + F = nn.functional -_, tf, _ = try_import_tf() - -class WorldModel(tf.keras.Model): +class WorldModel(nn.Module): """WorldModel component of [1] w/ encoder, decoder, RSSM, reward/cont. predictors. See eq. 3 of [1] for all components and their respective in- and outputs. @@ -63,8 +65,8 @@ def __init__( observation_space: gym.Space, action_space: gym.Space, batch_length_T: int = 64, - encoder: tf.keras.Model, - decoder: tf.keras.Model, + encoder: nn.Module, + decoder: nn.Module, num_gru_units: Optional[int] = None, symlog_obs: bool = True, ): @@ -73,8 +75,7 @@ def __init__( Args: model_size: The "Model Size" used according to [1] Appendinx B. Use None for manually setting the different network sizes. - observation_space: The observation space of the environment used. - action_space: The action space of the environment used. + action_space: The action space the our environment used. batch_length_T: The length (T) of the sequences used for training. The actual shape of the input data (e.g. rewards) is then: [B, T, ...], where B is the "batch size", T is the "batch length" (this arg) and @@ -101,85 +102,92 @@ def __init__( *Because symlog encoding is only used for vector observations*, this ablation is equivalent to DreamerV3 on purely image-based environments". """ - super().__init__(name="world_model") + super().__init__() self.model_size = model_size self.batch_length_T = batch_length_T self.symlog_obs = symlog_obs - self.observation_space = observation_space self.action_space = action_space - self._comp_dtype = ( - tf.keras.mixed_precision.global_policy().compute_dtype or tf.float32 + a_flat = ( + action_space.n + if isinstance(action_space, gym.spaces.Discrete) + else (np.prod(action_space.shape)) ) # Encoder (latent 1D vector generator) (xt -> lt). self.encoder = encoder + self.num_gru_units = get_gru_units( + model_size=self.model_size, + override=num_gru_units, + ) + # Posterior predictor consisting of an MLP and a RepresentationLayer: # [ht, lt] -> zt. + # In Danijar's code, this is called: `obs_out`. self.posterior_mlp = MLP( + input_size=(self.num_gru_units + encoder.output_size[0]), model_size=self.model_size, output_layer_size=None, # In Danijar's code, the posterior predictor only has a single layer, # no matter the model size: num_dense_layers=1, - name="posterior_mlp", ) # The (posterior) z-state generating layer. - self.posterior_representation_layer = RepresentationLayer( + # In Danijar's code, this is called: `obs_stats`. + self.posterior_representation_layer = representation_layer.RepresentationLayer( + input_size=get_dense_hidden_units(self.model_size), model_size=self.model_size, ) + z_flat = ( + self.posterior_representation_layer.num_categoricals + * self.posterior_representation_layer.num_classes_per_categorical + ) + h_plus_z_flat = self.num_gru_units + z_flat + # Dynamics (prior z-state) predictor: ht -> z^t - self.dynamics_predictor = DynamicsPredictor(model_size=self.model_size) + # In Danijar's code, the layers in this network are called: + # `img_out` (1 Linear) and `img_stats` (representation layer). + self.dynamics_predictor = DynamicsPredictor( + input_size=self.num_gru_units, model_size=self.model_size + ) # GRU for the RSSM: [at, ht, zt] -> ht+1 - self.num_gru_units = get_gru_units( - model_size=self.model_size, - override=num_gru_units, - ) # Initial h-state variable (learnt). # -> tanh(self.initial_h) -> deterministic state # Use our Dynamics predictor for initial stochastic state, BUT with greedy # (mode) instead of sampling. - self.initial_h = tf.Variable( - tf.zeros(shape=(self.num_gru_units,)), - trainable=True, - name="initial_h", + self.initial_h = nn.Parameter( + torch.zeros(self.num_gru_units), requires_grad=True ) # The actual sequence model containing the GRU layer. + # In Danijar's code, the layers in this network are called: + # `img_in` (1 Linear) and `gru` (custom GRU implementation). self.sequence_model = SequenceModel( + # Only z- and a-state go into pre-layer. The output of that goes then + # into GRU (together with h-state). + input_size=int(z_flat + a_flat), model_size=self.model_size, action_space=self.action_space, num_gru_units=self.num_gru_units, ) # Reward Predictor: [ht, zt] -> rt. - self.reward_predictor = RewardPredictor(model_size=self.model_size) + self.reward_predictor = RewardPredictor( + input_size=h_plus_z_flat, + model_size=self.model_size, + ) # Continue Predictor: [ht, zt] -> ct. - self.continue_predictor = ContinuePredictor(model_size=self.model_size) + self.continue_predictor = ContinuePredictor( + input_size=h_plus_z_flat, + model_size=self.model_size, + ) # Decoder: [ht, zt] -> x^t. self.decoder = decoder - # Trace self.call. - self.forward_train = tf.function( - input_signature=[ - tf.TensorSpec(shape=[None, None] + list(self.observation_space.shape)), - tf.TensorSpec( - shape=[None, None] - + ( - [self.action_space.n] - if isinstance(action_space, gym.spaces.Discrete) - else list(self.action_space.shape) - ) - ), - tf.TensorSpec(shape=[None, None], dtype=tf.bool), - ] - )(self.forward_train) - - @tf.function - def get_initial_state(self): + def get_initial_state(self) -> dict: """Returns the (current) initial state of the world model (h- and z-states). An initial state is generated using the tanh of the (learned) h-state variable @@ -187,15 +195,20 @@ def get_initial_state(self): step, it is important that we do NOT sample the z^-state (as we would usually do during dreaming), but rather take the mode (argmax, then one-hot again). """ - h = tf.expand_dims(tf.math.tanh(tf.cast(self.initial_h, self._comp_dtype)), 0) + h = torch.tanh(self.initial_h) # Use the mode, NOT a sample for the initial z-state. - _, z_probs = self.dynamics_predictor(h) - z = tf.argmax(z_probs, axis=-1) - z = tf.one_hot(z, depth=z_probs.shape[-1], dtype=self._comp_dtype) + _, z_probs = self.dynamics_predictor(h.unsqueeze(0), return_z_probs=True) + z = z_probs.squeeze(0).argmax(dim=-1) + z = F.one_hot(z, num_classes=z_probs.shape[-1]) return {"h": h, "z": z} - def forward_inference(self, observations, previous_states, is_first, training=None): + def forward_inference( + self, + observations: "torch.Tensor", + previous_states: dict, + is_first: "torch.Tensor", + ) -> dict: """Performs a forward step for inference (e.g. environment stepping). Works analogous to `forward_train`, except that all inputs are provided @@ -213,10 +226,10 @@ def forward_inference(self, observations, previous_states, is_first, training=No Returns: The next deterministic h-state (h(t+1)) as predicted by the sequence model. """ - observations = tf.cast(observations, self._comp_dtype) - + B = observations.shape[0] initial_states = tree.map_structure( - lambda s: tf.repeat(s, tf.shape(observations)[0], axis=0), + # Repeat only the batch dimension (B times). + lambda s: s.unsqueeze(0).repeat(B, *([1] * len(s.shape))), self.get_initial_state(), ) @@ -236,7 +249,12 @@ def forward_inference(self, observations, previous_states, is_first, training=No return {"h": h, "z": z} - def forward_train(self, observations, actions, is_first): + def forward_train( + self, + observations: "torch.Tensor", + actions: "torch.Tensor", + is_first: "torch.Tensor", + ) -> dict: """Performs a forward step for training. 1) Forwards all observations [B, T, ...] through the encoder network to yield @@ -270,33 +288,31 @@ def forward_train(self, observations, actions, is_first): # Compute bare encoder outs (not z; this is done later with involvement of the # sequence model and the h-states). # Fold time dimension for CNN pass. - shape = tf.shape(observations) + shape = observations.shape B, T = shape[0], shape[1] - observations = tf.reshape( - observations, shape=tf.concat([[-1], shape[2:]], axis=0) - ) - - encoder_out = self.encoder(tf.cast(observations, self._comp_dtype)) + observations = observations.view((-1,) + shape[2:]) + encoder_out = self.encoder(observations) # Unfold time dimension. - encoder_out = tf.reshape( - encoder_out, shape=tf.concat([[B, T], tf.shape(encoder_out)[1:]], axis=0) + encoder_out = encoder_out.view( + ( + B, + T, + ) + + encoder_out.shape[1:] ) # Make time major for faster upcoming loop. - encoder_out = tf.transpose( - encoder_out, perm=[1, 0] + list(range(2, len(encoder_out.shape.as_list()))) - ) + encoder_out = encoder_out.transpose(0, 1) # encoder_out=[T, B, ...] initial_states = tree.map_structure( - lambda s: tf.repeat(s, B, axis=0), self.get_initial_state() + # Repeat only the batch dimension (B times). + lambda s: s.unsqueeze(0).repeat(B, *([1] * len(s.shape))), + self.get_initial_state(), ) # Make actions and `is_first` time-major. - actions = tf.transpose( - tf.cast(actions, self._comp_dtype), - perm=[1, 0] + list(range(2, tf.shape(actions).shape.as_list()[0])), - ) - is_first = tf.transpose(tf.cast(is_first, self._comp_dtype), perm=[1, 0]) + actions = actions.transpose(0, 1) + is_first = is_first.transpose(0, 1).float() # Loop through the T-axis of our samples and perform one computation step at # a time. This is necessary because the sequence model's output (h(t+1)) depends @@ -321,50 +337,53 @@ def forward_train(self, observations, actions, is_first): h_t = self.sequence_model(a=a_tm1, h=h_tm1, z=z_tm1) h_t0_to_T.append(h_t) - posterior_mlp_input = tf.concat([encoder_out[t], h_t], axis=-1) + posterior_mlp_input = torch.cat([encoder_out[t], h_t], dim=-1) repr_input = self.posterior_mlp(posterior_mlp_input) # Draw one z-sample (z(t)) and also get the z-distribution for dynamics and # representation loss computations. - z_t, z_probs = self.posterior_representation_layer(repr_input) + z_t, z_probs = self.posterior_representation_layer( + repr_input, + return_z_probs=True, + ) # z_t=[B, num_categoricals, num_classes] z_posterior_probs.append(z_probs) z_t0_to_T.append(z_t) # Compute the predicted z_t (z^) using the dynamics model. - _, z_probs = self.dynamics_predictor(h_t) + _, z_probs = self.dynamics_predictor(h_t, return_z_probs=True) z_prior_probs.append(z_probs) # Stack at time dimension to yield: [B, T, ...]. - h_t1_to_T = tf.stack(h_t0_to_T[1:], axis=1) - z_t1_to_T = tf.stack(z_t0_to_T[1:], axis=1) + h_t1_to_T = torch.stack(h_t0_to_T[1:], dim=1) + z_t1_to_T = torch.stack(z_t0_to_T[1:], dim=1) # Fold time axis to retrieve the final (loss ready) Independent distribution # (over `num_categoricals` Categoricals). - z_posterior_probs = tf.stack(z_posterior_probs, axis=1) - z_posterior_probs = tf.reshape( - z_posterior_probs, - shape=[-1] + z_posterior_probs.shape.as_list()[2:], + z_posterior_probs = torch.stack(z_posterior_probs, dim=1) + z_posterior_probs = z_posterior_probs.view( + (-1,) + z_posterior_probs.shape[2:], ) # Fold time axis to retrieve the final (loss ready) Independent distribution # (over `num_categoricals` Categoricals). - z_prior_probs = tf.stack(z_prior_probs, axis=1) - z_prior_probs = tf.reshape( - z_prior_probs, - shape=[-1] + z_prior_probs.shape.as_list()[2:], - ) + z_prior_probs = torch.stack(z_prior_probs, dim=1) + z_prior_probs = z_prior_probs.view((-1,) + z_prior_probs.shape[2:]) # Fold time dimension for parallelization of all dependent predictions: # observations (reproduction via decoder), rewards, continues. - h_BxT = tf.reshape(h_t1_to_T, shape=[-1] + h_t1_to_T.shape.as_list()[2:]) - z_BxT = tf.reshape(z_t1_to_T, shape=[-1] + z_t1_to_T.shape.as_list()[2:]) + h_BxT = h_t1_to_T.view((-1,) + h_t1_to_T.shape[2:]) + z_BxT = z_t1_to_T.view((-1,) + z_t1_to_T.shape[2:]) - obs_distribution_means = tf.cast(self.decoder(h=h_BxT, z=z_BxT), tf.float32) + obs_distribution_means = self.decoder(h=h_BxT, z=z_BxT) # Compute (predicted) reward distributions. - rewards, reward_logits = self.reward_predictor(h=h_BxT, z=z_BxT) + rewards, reward_logits = self.reward_predictor( + h=h_BxT, z=z_BxT, return_logits=True + ) # Compute (predicted) continue distributions. - continues, continue_distribution = self.continue_predictor(h=h_BxT, z=z_BxT) + continues, continue_distribution = self.continue_predictor( + h=h_BxT, z=z_BxT, return_distribution=True + ) # Return outputs for loss computation. # Note that all shapes are [BxT, ...] (time axis already folded). @@ -387,7 +406,12 @@ def forward_train(self, observations, actions, is_first): "z_prior_probs_BxT": z_prior_probs, } - def compute_posterior_z(self, observations, initial_h): + def compute_posterior_z( + self, observations: "torch.Tensor", initial_h: "torch.Tensor" + ) -> "torch.Tensor": + # Fold time dimension for possible CNN pass. + shape = observations.shape + observations = observations.view((-1,) + shape[2:]) # Compute bare encoder outputs (not including z, which is computed in next step # with involvement of the previous output (initial_h) of the sequence model). # encoder_outs=[B, ...] @@ -395,13 +419,13 @@ def compute_posterior_z(self, observations, initial_h): observations = symlog(observations) encoder_out = self.encoder(observations) # Concat encoder outs with the h-states. - posterior_mlp_input = tf.concat([encoder_out, initial_h], axis=-1) + posterior_mlp_input = torch.cat([encoder_out, initial_h], dim=-1) # Compute z. repr_input = self.posterior_mlp(posterior_mlp_input) - # Draw a z-sample. - z_t, _ = self.posterior_representation_layer(repr_input) + # Draw one z-sample (no need to return the distribution here). + z_t = self.posterior_representation_layer(repr_input, return_z_probs=False) return z_t @staticmethod - def _mask(value, mask): - return tf.einsum("b...,b->b...", value, tf.cast(mask, value.dtype)) + def _mask(value: "torch.Tensor", mask: "torch.Tensor") -> "torch.Tensor": + return torch.einsum("b...,b->b...", value, mask) diff --git a/rllib/algorithms/dreamerv3/utils/add_is_firsts_to_batch.py b/rllib/algorithms/dreamerv3/utils/add_is_firsts_to_batch.py new file mode 100644 index 000000000000..3479693bf1e7 --- /dev/null +++ b/rllib/algorithms/dreamerv3/utils/add_is_firsts_to_batch.py @@ -0,0 +1,36 @@ +from typing import Any, List, Optional + +from ray.rllib.connectors.connector_v2 import ConnectorV2 +from ray.rllib.core.rl_module.rl_module import RLModule +from ray.rllib.utils.annotations import override +from ray.rllib.utils.typing import EpisodeType + + +class AddIsFirstsToBatch(ConnectorV2): + """Adds the "is_first" column to the batch.""" + + @override(ConnectorV2) + def __call__( + self, + *, + rl_module: RLModule, + batch: Optional[Any], + episodes: List[EpisodeType], + explore: Optional[bool] = None, + shared_data: Optional[dict] = None, + **kwargs, + ) -> Any: + # If "is_first" already in batch, early out. + if "is_first" in batch: + return batch + + for sa_episode in self.single_agent_episode_iterator(episodes): + self.add_batch_item( + batch, + "is_first", + item_to_add=( + 1.0 if sa_episode.t_started == 0 and len(sa_episode) == 0 else 0.0 + ), + single_agent_episode=sa_episode, + ) + return batch diff --git a/rllib/algorithms/dreamerv3/utils/debugging.py b/rllib/algorithms/dreamerv3/utils/debugging.py index 7ddbd8341ddb..d69281713a38 100644 --- a/rllib/algorithms/dreamerv3/utils/debugging.py +++ b/rllib/algorithms/dreamerv3/utils/debugging.py @@ -4,9 +4,9 @@ from gymnasium.envs.classic_control.cartpole import CartPoleEnv -from ray.rllib.utils.framework import try_import_tf +from ray.rllib.utils.framework import try_import_torch -_, tf, _ = try_import_tf() +torch, _ = try_import_torch() class CartPoleDebug(CartPoleEnv): @@ -99,7 +99,7 @@ def create_cartpole_dream_image( # Return image. np_img = np.asarray(image) if as_tensor: - return tf.convert_to_tensor(np_img, dtype=tf.uint8) + return torch.from_numpy(np_img, dtype=torch.uint8) return np_img @@ -143,7 +143,7 @@ def create_frozenlake_dream_image( # Return image. np_img = np.asarray(image) if as_tensor: - return tf.convert_to_tensor(np_img, dtype=tf.uint8) + return torch.from_numpy(np_img, dtype=torch.uint8) return np_img diff --git a/rllib/algorithms/dreamerv3/utils/env_runner.py b/rllib/algorithms/dreamerv3/utils/env_runner.py deleted file mode 100644 index fe33f1cec436..000000000000 --- a/rllib/algorithms/dreamerv3/utils/env_runner.py +++ /dev/null @@ -1,694 +0,0 @@ -""" -[1] Mastering Diverse Domains through World Models - 2023 -D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap -https://arxiv.org/pdf/2301.04104v1.pdf - -[2] Mastering Atari with Discrete World Models - 2021 -D. Hafner, T. Lillicrap, M. Norouzi, J. Ba -https://arxiv.org/pdf/2010.02193.pdf -""" -from collections import defaultdict -from functools import partial -from typing import Collection, List, Optional, Tuple, Union - -import gymnasium as gym -from gymnasium.wrappers.vector import DictInfoToList -import numpy as np -import tree # pip install dm_tree - -import ray -from ray.rllib.algorithms.algorithm_config import AlgorithmConfig -from ray.rllib.core import COMPONENT_RL_MODULE, DEFAULT_AGENT_ID, DEFAULT_MODULE_ID -from ray.rllib.core.columns import Columns -from ray.rllib.env import INPUT_ENV_SPACES -from ray.rllib.env.env_runner import EnvRunner -from ray.rllib.env.single_agent_episode import SingleAgentEpisode -from ray.rllib.env.wrappers.atari_wrappers import NoopResetEnv, MaxAndSkipEnv -from ray.rllib.env.wrappers.dm_control_wrapper import DMCEnv -from ray.rllib.env.utils import _gym_env_creator -from ray.rllib.utils.annotations import override -from ray.rllib.utils.deprecation import Deprecated -from ray.rllib.utils.framework import try_import_tf, try_import_torch -from ray.rllib.utils.metrics import ( - EPISODE_DURATION_SEC_MEAN, - EPISODE_LEN_MAX, - EPISODE_LEN_MEAN, - EPISODE_LEN_MIN, - EPISODE_RETURN_MAX, - EPISODE_RETURN_MEAN, - EPISODE_RETURN_MIN, - NUM_AGENT_STEPS_SAMPLED, - NUM_AGENT_STEPS_SAMPLED_LIFETIME, - NUM_EPISODES, - NUM_ENV_STEPS_SAMPLED, - NUM_ENV_STEPS_SAMPLED_LIFETIME, - NUM_MODULE_STEPS_SAMPLED, - NUM_MODULE_STEPS_SAMPLED_LIFETIME, -) -from ray.rllib.utils.metrics.metrics_logger import MetricsLogger -from ray.rllib.utils.numpy import convert_to_numpy, one_hot -from ray.rllib.utils.spaces.space_utils import batch, unbatch -from ray.rllib.utils.torch_utils import convert_to_torch_tensor -from ray.rllib.utils.typing import ResultDict, StateDict -from ray.tune.registry import ENV_CREATOR, _global_registry - -_, tf, _ = try_import_tf() -torch, _ = try_import_torch() - - -# TODO (sven): Use SingleAgentEnvRunner instead of this as soon as we have the new -# ConnectorV2 example classes to make Atari work properly with these (w/o requiring the -# classes at the bottom of this file here, e.g. `ActionClip`). -class DreamerV3EnvRunner(EnvRunner): - """An environment runner to collect data from vectorized gymnasium environments.""" - - def __init__( - self, - config: AlgorithmConfig, - **kwargs, - ): - """Initializes a DreamerV3EnvRunner instance. - - Args: - config: The config to use to setup this EnvRunner. - """ - super().__init__(config=config, **kwargs) - - # Create the gym.vector.Env object. - # Atari env. - if self.config.env.startswith("ale_py:ALE/"): - # TODO (sven): This import currently causes a Tune test to fail. Either way, - # we need to figure out how to properly setup the CI environment with - # the correct versions of all gymnasium-related packages. - from supersuit.generic_wrappers import resize_v1 - - # [2]: "We down-scale the 84 × 84 grayscale images to 64 × 64 pixels so that - # we can apply the convolutional architecture of DreamerV1." - # ... - # "We follow the evaluation protocol of Machado et al. (2018) with 200M - # environment steps, action repeat of 4, a time limit of 108,000 steps per - # episode that correspond to 30 minutes of game play, no access to life - # information, full action space, and sticky actions. Because the world - # model integrates information over time, DreamerV2 does not use frame - # stacking." - # However, in Danijar's repo, Atari100k experiments are configured as: - # noop=30, 64x64x3 (no grayscaling), sticky actions=False, - # full action space=False, - - def _entry_point(): - return gym.make( - self.config.env, - **dict( - self.config.env_config, - **{ - # "sticky actions" but not according to Danijar's 100k - # configs. - "repeat_action_probability": 0.0, - # "full action space" but not according to Danijar's 100k - # configs. - "full_action_space": False, - # Already done by MaxAndSkip wrapper: "action repeat" == 4. - "frameskip": 1, - }, - ), - ) - - gym.register("rllib-single-agent-env-v0", entry_point=_entry_point) - - self.env = DictInfoToList( - gym.make_vec( - "rllib-single-agent-env-v0", - num_envs=self.config.num_envs_per_env_runner, - vectorization_mode=( - "async" if self.config.remote_worker_envs else "sync" - ), - wrappers=[ - partial(gym.wrappers.TimeLimit, max_episode_steps=108000), - partial(resize_v1, x_size=64, y_size=64), # resize to 64x64 - NormalizedImageEnv, - NoopResetEnv, - MaxAndSkipEnv, - ], - ) - ) - # DeepMind Control. - elif self.config.env.startswith("DMC/"): - parts = self.config.env.split("/") - assert len(parts) == 3, ( - "ERROR: DMC env must be formatted as 'DMC/[task]/[domain]', e.g. " - f"'DMC/cartpole/swingup'! You provided '{self.config.env}'." - ) - gym.register( - "dmc_env-v0", - lambda from_pixels=True: DMCEnv( - parts[1], parts[2], from_pixels=from_pixels, channels_first=False - ), - ) - self.env = DictInfoToList( - gym.make_vec( - "dmc_env-v0", - wrappers=[ActionClip], - num_envs=self.config.num_envs_per_env_runner, - vectorization_mode=( - "async" if self.config.remote_worker_envs else "sync" - ), - **dict(self.config.env_config), - ) - ) - # All other envs (gym or `tune.register_env()`'d by the user). - else: - # Register the env in this local context here. - gym.register( - "dreamerv3-custom-env-v0", - partial( - _global_registry.get(ENV_CREATOR, self.config.env), - self.config.env_config, - ) - if _global_registry.contains(ENV_CREATOR, self.config.env) - else partial( - _gym_env_creator, - env_context=self.config.env_config, - env_descriptor=self.config.env, - ), - ) - # Wrap into `DictInfoToList` wrapper to get infos as lists. - self.env = DictInfoToList( - gym.make_vec( - "dreamerv3-custom-env-v0", - num_envs=self.config.num_envs_per_env_runner, - vectorization_mode=( - "async" if self.config.remote_worker_envs else "sync" - ), - ) - ) - self.num_envs = self.env.num_envs - assert self.num_envs == self.config.num_envs_per_env_runner - - # Create our RLModule to compute actions with. - policy_dict, _ = self.config.get_multi_agent_setup(env=self.env) - self.multi_rl_module_spec = self.config.get_multi_rl_module_spec( - policy_dict=policy_dict - ) - if self.config.share_module_between_env_runner_and_learner: - # DreamerV3 Algorithm will set this to the local Learner's module. - self.module = None - # Create our own instance of a DreamerV3RLModule (which then needs to be - # weight-synched each iteration). - else: - # TODO (sven): DreamerV3 is currently single-agent only. - self.module = self.multi_rl_module_spec.build()[DEFAULT_MODULE_ID] - - self._cached_to_module = None - - self.metrics = MetricsLogger() - - self._device = None - if ( - torch - and torch.cuda.is_available() - and self.config.framework_str == "torch" - and self.config.share_module_between_env_runner_and_learner - and self.config.num_gpus_per_learner > 0 - ): - gpu_ids = ray.get_gpu_ids() - self._device = f"cuda:{gpu_ids[0]}" - self.convert_to_tensor = ( - partial(convert_to_torch_tensor, device=self._device) - if self.config.framework_str == "torch" - else tf.convert_to_tensor - ) - - self._needs_initial_reset = True - self._episodes = [None for _ in range(self.num_envs)] - self._states = [None for _ in range(self.num_envs)] - - # TODO (sven): Move metrics temp storage and collection out of EnvRunner - # and RolloutWorkers. These classes should not continue tracking some data - # that they have already returned (in a call to `sample()`). Instead, the - # episode data should be analyzed where it was sent to (the Algorithm itself - # via its replay buffer, etc..). - self._done_episodes_for_metrics = [] - self._ongoing_episodes_for_metrics = defaultdict(list) - - @override(EnvRunner) - def sample( - self, - *, - num_timesteps: int = None, - num_episodes: int = None, - explore: bool = True, - random_actions: bool = False, - ) -> Tuple[List[SingleAgentEpisode], List[SingleAgentEpisode]]: - """Runs and returns a sample (n timesteps or m episodes) on the environment(s). - - Timesteps or episodes are counted in total (across all vectorized - sub-environments). For example, if self.num_envs=2 and num_timesteps=10, each - sub-environment will be sampled for 5 steps. If self.num_envs=3 and - num_episodes=30, each sub-environment will be sampled for 10 episodes. - - Args: - num_timesteps: The number of timesteps to sample from the environment(s). - Note that only exactly one of `num_timesteps` or `num_episodes` must be - provided. - num_episodes: The number of full episodes to sample from the environment(s). - Note that only exactly one of `num_timesteps` or `num_episodes` must be - provided. - explore: Indicates whether to utilize exploration when picking actions. - random_actions: Whether to only use random actions. If True, the value of - `explore` is ignored. - force_reset: Whether to reset the environment(s) before starting to sample. - If False, will still reset the environment(s) if they were left in - a terminated or truncated state during previous sample calls. - - Returns: - A tuple consisting of a) list of Episode instances that are done and - b) list of Episode instances that are still ongoing. - """ - # If no execution details are provided, use self.config. - if num_timesteps is None and num_episodes is None: - if self.config.batch_mode == "truncate_episodes": - num_timesteps = self.config.rollout_fragment_length * self.num_envs - else: - num_episodes = self.num_envs - - # Sample n timesteps. - if num_timesteps is not None: - return self._sample( - num_timesteps=num_timesteps, - explore=explore, - random_actions=random_actions, - force_reset=False, - ) - # Sample n episodes. - else: - # `_sample_episodes` returns only one list (with completed episodes) - # return empty list for incomplete ones. - return ( - self._sample( - num_episodes=num_episodes, - explore=explore, - random_actions=random_actions, - ), - [], - ) - - def _sample( - self, - *, - num_timesteps: Optional[int] = None, - num_episodes: Optional[int] = None, - explore: bool = True, - random_actions: bool = False, - force_reset: bool = False, - ) -> List[SingleAgentEpisode]: - """Helper method to sample n timesteps or m episodes.""" - - done_episodes_to_return: List[SingleAgentEpisode] = [] - - # Get initial states for all `batch_size_B` rows in the forward batch. - initial_states = tree.map_structure( - lambda s: np.repeat(s, self.num_envs, axis=0), - convert_to_numpy(self.module.get_initial_state()), - ) - - # Have to reset the env (on all vector sub-envs). - if force_reset or num_episodes is not None or self._needs_initial_reset: - episodes = self._episodes = [None for _ in range(self.num_envs)] - self._reset_envs(episodes, initial_states) - # We just reset the env. Don't have to force this again in the next - # call to `self._sample()`. - self._needs_initial_reset = False - - # Set initial obs and states in the episodes. - for i in range(self.num_envs): - self._states[i] = None - else: - episodes = self._episodes - - # Loop through `num_timesteps` timesteps or `num_episodes` episodes. - ts = 0 - eps = 0 - while ( - (ts < num_timesteps) if num_timesteps is not None else (eps < num_episodes) - ): - # Act randomly. - if random_actions: - actions = self.env.action_space.sample() - # Compute an action using the RLModule. - else: - # Env-to-module connector (already cached). - to_module = self._cached_to_module - assert to_module is not None - self._cached_to_module = None - - # RLModule forward pass: Explore or not. - if explore: - to_env = self.module.forward_exploration(to_module) - else: - to_env = self.module.forward_inference(to_module) - - # Model outputs one-hot actions (if discrete). Convert to int actions - # as well. - actions = convert_to_numpy(to_env[Columns.ACTIONS]) - if isinstance(self.env.single_action_space, gym.spaces.Discrete): - actions = np.argmax(actions, axis=-1) - self._states = unbatch(convert_to_numpy(to_env[Columns.STATE_OUT])) - - observations, rewards, terminateds, truncateds, infos = self.env.step( - actions - ) - - call_on_episode_start = set() - for env_index in range(self.num_envs): - # Episode has no data in it yet -> Was just reset and needs to be called - # with its `add_env_reset()` method. - if not episodes[env_index].is_reset: - episodes[env_index].add_env_reset( - observation=observations[env_index], - infos=infos[env_index], - ) - call_on_episode_start.add(env_index) - self._states[env_index] = None - - # Call `add_env_step()` method on episode. - else: - # Only increase ts when we actually stepped (not reset'd as a reset - # does not count as a timestep). - ts += 1 - episodes[env_index].add_env_step( - observation=observations[env_index], - action=actions[env_index], - reward=rewards[env_index], - infos=infos[env_index], - terminated=terminateds[env_index], - truncated=truncateds[env_index], - ) - - # Cache results as we will do the RLModule forward pass only in the next - # `while`-iteration. - if self.module is not None: - is_first = np.zeros((self.num_envs,)) - for env_index, episode in enumerate(episodes): - if self._states[env_index] is None: - is_first[env_index] = 1.0 - self._states[env_index] = { - k: s[env_index] for k, s in initial_states.items() - } - self._cached_to_module = { - Columns.STATE_IN: tree.map_structure( - lambda s: self.convert_to_tensor(s), batch(self._states) - ), - Columns.OBS: self.convert_to_tensor(observations), - "is_first": self.convert_to_tensor(is_first), - } - - for env_index in range(self.num_envs): - # Episode is not done. - if not episodes[env_index].is_done: - continue - - eps += 1 - - # Then numpy'ize the episode. - done_episodes_to_return.append(episodes[env_index].to_numpy()) - - # Also early-out if we reach the number of episodes within this - # for-loop. - if eps == num_episodes: - break - - # Create a new episode object with no data in it and execute - # `on_episode_created` callback (before the `env.reset()` call). - episodes[env_index] = SingleAgentEpisode( - observation_space=self.env.single_observation_space, - action_space=self.env.single_action_space, - ) - - # Return done episodes ... - # TODO (simon): Check, how much memory this attribute uses. - self._done_episodes_for_metrics.extend(done_episodes_to_return) - # ... and all ongoing episode chunks. - - # Also, make sure we start new episode chunks (continuing the ongoing episodes - # from the to-be-returned chunks). - ongoing_episodes_to_return = [] - # Only if we are doing individual timesteps: We have to maybe cut an ongoing - # episode and continue building it on the next call to `sample()`. - if num_timesteps is not None: - ongoing_episodes_continuations = [ - episode.cut(len_lookback_buffer=self.config.episode_lookback_horizon) - for episode in episodes - ] - - for episode in episodes: - # Just started Episodes do not have to be returned. There is no data - # in them anyway. - if episode.t == 0: - continue - episode.validate() - self._ongoing_episodes_for_metrics[episode.id_].append(episode) - # Return numpy'ized Episodes. - ongoing_episodes_to_return.append(episode.to_numpy()) - - # Continue collecting into the cut Episode chunks. - self._episodes = ongoing_episodes_continuations - - self._increase_sampled_metrics(ts) - - # Return collected episode data. - return done_episodes_to_return + ongoing_episodes_to_return - - def get_spaces(self): - return { - INPUT_ENV_SPACES: (self.env.observation_space, self.env.action_space), - DEFAULT_MODULE_ID: ( - self.env.single_observation_space, - self.env.single_action_space, - ), - } - - def get_metrics(self) -> ResultDict: - # Compute per-episode metrics (only on already completed episodes). - for eps in self._done_episodes_for_metrics: - assert eps.is_done - - episode_length = len(eps) - episode_return = eps.get_return() - episode_duration_s = eps.get_duration_s() - - # Don't forget about the already returned chunks of this episode. - if eps.id_ in self._ongoing_episodes_for_metrics: - for eps2 in self._ongoing_episodes_for_metrics[eps.id_]: - episode_length += len(eps2) - episode_return += eps2.get_return() - del self._ongoing_episodes_for_metrics[eps.id_] - - self._log_episode_metrics( - episode_length, episode_return, episode_duration_s - ) - - # Log num episodes counter for this iteration. - self.metrics.log_value( - NUM_EPISODES, - len(self._done_episodes_for_metrics), - reduce="sum", - # Reset internal data on `reduce()` call below (not a lifetime count). - clear_on_reduce=True, - ) - - # Now that we have logged everything, clear cache of done episodes. - self._done_episodes_for_metrics.clear() - - # Return reduced metrics. - return self.metrics.reduce() - - def get_state( - self, - components: Optional[Union[str, Collection[str]]] = None, - *, - not_components: Optional[Union[str, Collection[str]]] = None, - **kwargs, - ) -> StateDict: - """Returns the weights of our (single-agent) RLModule.""" - if self.module is None: - assert self.config.share_module_between_env_runner_and_learner - return {} - else: - return { - COMPONENT_RL_MODULE: { - DEFAULT_MODULE_ID: self.module.get_state(**kwargs), - }, - } - - def set_state(self, state: StateDict) -> None: - """Writes the weights of our (single-agent) RLModule.""" - if self.module is None: - assert self.config.share_module_between_env_runner_and_learner - else: - self.module.set_state(state[COMPONENT_RL_MODULE][DEFAULT_MODULE_ID]) - - @override(EnvRunner) - def assert_healthy(self): - # Make sure, we have built our gym.vector.Env and RLModule properly. - assert self.env and self.module - - @override(EnvRunner) - def stop(self): - # Close our env object via gymnasium's API. - self.env.close() - - def _reset_envs(self, episodes, initial_states): - # Create n new episodes and make the `on_episode_created` callbacks. - for env_index in range(self.num_envs): - self._new_episode(env_index, episodes) - - # Erase all cached ongoing episodes (these will never be completed and - # would thus never be returned/cleaned by `get_metrics` and cause a memory - # leak). - self._ongoing_episodes_for_metrics.clear() - - observations, infos = self.env.reset() - observations = unbatch(observations) - - # Set initial obs and infos in the episodes. - for env_index in range(self.num_envs): - episodes[env_index].add_env_reset( - observation=observations[env_index], - infos=infos[env_index], - ) - - # Run the env-to-module connector to make sure the reset-obs/infos have - # properly been processed (if applicable). - self._cached_to_module = None - if self.module: - is_first = np.zeros((self.num_envs,)) - for i, eps in enumerate(self._episodes): - if self._states[i] is None: - is_first[i] = 1.0 - self._states[i] = {k: s[i] for k, s in initial_states.items()} - self._cached_to_module = { - Columns.STATE_IN: tree.map_structure( - lambda s: self.convert_to_tensor(s), batch(self._states) - ), - Columns.OBS: self.convert_to_tensor(observations), - "is_first": self.convert_to_tensor(is_first), - } - # self._cached_to_module = TODO!! - - def _new_episode(self, env_index, episodes=None): - episodes = episodes if episodes is not None else self._episodes - episodes[env_index] = SingleAgentEpisode( - observation_space=self.env.single_observation_space, - action_space=self.env.single_action_space, - ) - - def _increase_sampled_metrics(self, num_steps): - # Per sample cycle stats. - self.metrics.log_value( - NUM_ENV_STEPS_SAMPLED, num_steps, reduce="sum", clear_on_reduce=True - ) - self.metrics.log_value( - (NUM_AGENT_STEPS_SAMPLED, DEFAULT_AGENT_ID), - num_steps, - reduce="sum", - clear_on_reduce=True, - ) - self.metrics.log_value( - (NUM_MODULE_STEPS_SAMPLED, DEFAULT_MODULE_ID), - num_steps, - reduce="sum", - clear_on_reduce=True, - ) - # Lifetime stats. - self.metrics.log_value(NUM_ENV_STEPS_SAMPLED_LIFETIME, num_steps, reduce="sum") - self.metrics.log_value( - (NUM_AGENT_STEPS_SAMPLED_LIFETIME, DEFAULT_AGENT_ID), - num_steps, - reduce="sum", - ) - self.metrics.log_value( - (NUM_MODULE_STEPS_SAMPLED_LIFETIME, DEFAULT_MODULE_ID), - num_steps, - reduce="sum", - ) - return num_steps - - def _log_episode_metrics(self, length, ret, sec): - # Log general episode metrics. - # To mimick the old API stack behavior, we'll use `window` here for - # these particular stats (instead of the default EMA). - win = self.config.metrics_num_episodes_for_smoothing - self.metrics.log_value(EPISODE_LEN_MEAN, length, window=win) - self.metrics.log_value(EPISODE_RETURN_MEAN, ret, window=win) - self.metrics.log_value(EPISODE_DURATION_SEC_MEAN, sec, window=win) - - # For some metrics, log min/max as well. - self.metrics.log_value(EPISODE_LEN_MIN, length, reduce="min") - self.metrics.log_value(EPISODE_RETURN_MIN, ret, reduce="min") - self.metrics.log_value(EPISODE_LEN_MAX, length, reduce="max") - self.metrics.log_value(EPISODE_RETURN_MAX, ret, reduce="max") - - @Deprecated( - new="DreamerV3EnvRunner.get_state(components='rl_module')", - error=True, - ) - def get_weights(self, *args, **kwargs): - pass - - @Deprecated( - new="DreamerV3EnvRunner.get_state()", - error=True, - ) - def set_weights(self, *args, **kwargs): - pass - - -class NormalizedImageEnv(gym.ObservationWrapper): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self.observation_space = gym.spaces.Box( - -1.0, - 1.0, - shape=self.observation_space.shape, - dtype=np.float32, - ) - - # Divide by scale and center around 0.0, such that observations are in the range - # of -1.0 and 1.0. - def observation(self, observation): - return (observation.astype(np.float32) / 128.0) - 1.0 - - -class OneHot(gym.ObservationWrapper): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self.observation_space = gym.spaces.Box( - 0.0, 1.0, shape=(self.observation_space.n,), dtype=np.float32 - ) - - def reset(self, **kwargs): - ret = self.env.reset(**kwargs) - return self._get_obs(ret[0]), ret[1] - - def step(self, action): - ret = self.env.step(action) - return self._get_obs(ret[0]), ret[1], ret[2], ret[3], ret[4] - - def _get_obs(self, obs): - return one_hot(obs, depth=self.observation_space.shape[0]) - - -class ActionClip(gym.ActionWrapper): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self._low = -1.0 - self._high = 1.0 - self.action_space = gym.spaces.Box( - self._low, - self._high, - self.action_space.shape, - self.action_space.dtype, - ) - - def action(self, action): - return np.clip(action, self._low, self._high) diff --git a/rllib/algorithms/dreamerv3/utils/summaries.py b/rllib/algorithms/dreamerv3/utils/summaries.py index c8b0ea753d4d..bcd3898387f1 100644 --- a/rllib/algorithms/dreamerv3/utils/summaries.py +++ b/rllib/algorithms/dreamerv3/utils/summaries.py @@ -20,7 +20,7 @@ LEARNER_RESULTS, REPLAY_BUFFER_RESULTS, ) -from ray.rllib.utils.tf_utils import inverse_symlog +from ray.rllib.utils.torch_utils import inverse_symlog torch, _ = try_import_torch() @@ -154,7 +154,7 @@ def report_predicted_vs_sampled_obs( Args: metrics: The MetricsLogger object of the DreamerV3 algo. - sample: The sampled data (dict) from the replay buffer. Already tf-tensor + sample: The sampled data (dict) from the replay buffer. Already torch-tensor converted. batch_size_B: The batch size (B). This is the number of trajectories sampled from the buffer. @@ -214,7 +214,7 @@ def report_dreamed_eval_trajectory_vs_samples( Args: metrics: The MetricsLogger object of the DreamerV3 algo. - sample: The sampled data (dict) from the replay buffer. Already tf-tensor + sample: The sampled data (dict) from the replay buffer. Already torch-tensor converted. burn_in_T: The number of burn-in timesteps (these will be skipped over in the reported video comparisons and MSEs). @@ -326,7 +326,6 @@ def _report_obs( video sequence. symlog_obs: Whether to inverse-symlog the computed observations or not. Set this to True for environments, in which we should symlog the observations. - """ # Videos: Create summary, comparing computed images with actual sampled ones. # 4=[B, T, w, h] grayscale image; 5=[B, T, w, h, C] RGB image. diff --git a/rllib/algorithms/ppo/ppo.py b/rllib/algorithms/ppo/ppo.py index 2f14e73471b0..2b28c5bd91c8 100644 --- a/rllib/algorithms/ppo/ppo.py +++ b/rllib/algorithms/ppo/ppo.py @@ -444,7 +444,7 @@ def training_step(self) -> None: # But we also return a total_loss key at the same level as the ModuleID # keys. So we need to subtract that to get the correct set of ModuleIDs to # update. - # TODO (sven): We should also not be using `learner_results` as a messenger + # TODO (sven): We should not be using `learner_results` as a messenger # to infer which modules to update. `policies_to_train` might also NOT work # as it might be a very large set (100s of Modules) vs a smaller Modules # set that's present in the current train batch. diff --git a/rllib/connectors/common/add_states_from_episodes_to_batch.py b/rllib/connectors/common/add_states_from_episodes_to_batch.py index 07c26d8c227e..6cfe284d347a 100644 --- a/rllib/connectors/common/add_states_from_episodes_to_batch.py +++ b/rllib/connectors/common/add_states_from_episodes_to_batch.py @@ -336,6 +336,7 @@ def __call__( Columns.STATE_OUT not in sa_episode.extra_model_outputs ): state = sa_module.get_initial_state() + state = convert_to_numpy(state) # Episode is already ongoing -> Use most recent STATE_OUT. else: state = sa_episode.get_extra_model_outputs( diff --git a/rllib/connectors/module_to_env/remove_single_ts_time_rank_from_batch.py b/rllib/connectors/module_to_env/remove_single_ts_time_rank_from_batch.py index 7297080595ad..3e3b200ebc07 100644 --- a/rllib/connectors/module_to_env/remove_single_ts_time_rank_from_batch.py +++ b/rllib/connectors/module_to_env/remove_single_ts_time_rank_from_batch.py @@ -51,8 +51,8 @@ def __call__( return batch def _remove_single_ts(item, eps_id, aid, mid): - # Only remove time-rank for modules that are statefule (only for those has - # a timerank been added). + # Only remove time-rank for modules that are statefule (only for those, a + # timerank has been added). if mid is None or rl_module[mid].is_stateful(): return tree.map_structure(lambda s: np.squeeze(s, axis=0), item) return item diff --git a/rllib/core/learner/learner.py b/rllib/core/learner/learner.py index c7c3f9b0c91f..84ddffef134b 100644 --- a/rllib/core/learner/learner.py +++ b/rllib/core/learner/learner.py @@ -513,9 +513,12 @@ def postprocess_gradients(self, gradients_dict: ParamDict) -> ParamDict: # `self.postprocess_gradients_for_module()` method. module_grads_dict = {} for optimizer_name, optimizer in self.get_optimizers_for_module(module_id): - module_grads_dict.update( - self.filter_param_dict_for_optimizer(gradients_dict, optimizer) + optim_grads = self.filter_param_dict_for_optimizer( + gradients_dict, optimizer ) + for ref, grad in optim_grads.items(): + assert ref not in module_grads_dict + module_grads_dict[ref] = grad module_grads_dict = self.postprocess_gradients_for_module( module_id=module_id, diff --git a/rllib/core/rl_module/rl_module.py b/rllib/core/rl_module/rl_module.py index 748c7309f365..3e1c1103b939 100644 --- a/rllib/core/rl_module/rl_module.py +++ b/rllib/core/rl_module/rl_module.py @@ -474,6 +474,9 @@ def __init__( if "'NoneType' object has no attribute " in e.args[0]: raise (self._catalog_ctor_error or e) self._is_setup = True + # Cache value for returning from `is_stateful` so we don't have to call + # the module's `get_initial_state()` method all the time (might be expensive). + self._is_stateful = None @OverrideToImplementCustomLogic def setup(self): @@ -581,8 +584,7 @@ def _forward_inference(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: By default, this calls the generic `self._forward()` method. """ - with torch.no_grad(): - return self._forward(batch, **kwargs) + return self._forward(batch, **kwargs) def forward_exploration(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: """DO NOT OVERRIDE! Forward-pass during exploration, called from the sampler. @@ -611,8 +613,7 @@ def _forward_exploration(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any By default, this calls the generic `self._forward()` method. """ - with torch.no_grad(): - return self._forward(batch, **kwargs) + return self._forward(batch, **kwargs) def forward_train(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: """DO NOT OVERRIDE! Forward-pass during training called from the learner. @@ -667,12 +668,14 @@ def is_stateful(self) -> bool: state is an empty dict and recurrent otherwise. This behavior can be customized by overriding this method. """ - initial_state = self.get_initial_state() - assert isinstance(initial_state, dict), ( - "The initial state of an RLModule must be a dict, but is " - f"{type(initial_state)} instead." - ) - return bool(initial_state) + if self._is_stateful is None: + initial_state = self.get_initial_state() + assert isinstance(initial_state, dict), ( + "The initial state of an RLModule must be a dict, but is " + f"{type(initial_state)} instead." + ) + self._is_stateful = bool(initial_state) + return self._is_stateful @OverrideToImplementCustomLogic @override(Checkpointable) diff --git a/rllib/env/wrappers/atari_wrappers.py b/rllib/env/wrappers/atari_wrappers.py index 3bb0f3ff7719..018b93564165 100644 --- a/rllib/env/wrappers/atari_wrappers.py +++ b/rllib/env/wrappers/atari_wrappers.py @@ -305,20 +305,30 @@ def observation(self, observation): @PublicAPI -class WarpFrame(gym.ObservationWrapper): - def __init__(self, env, dim): +class GrayScaleAndResize(gym.ObservationWrapper): + def __init__(self, env, dim, grayscale: bool = True): """Warp frames to the specified size (dim x dim).""" gym.ObservationWrapper.__init__(self, env) self.width = dim self.height = dim + self.grayscale = grayscale self.observation_space = spaces.Box( - low=0, high=255, shape=(self.height, self.width, 1), dtype=np.uint8 + low=0, + high=255, + shape=(self.height, self.width, 1 if grayscale else 3), + dtype=np.uint8, ) def observation(self, frame): - frame = rgb2gray(frame) - frame = resize(frame, height=self.height, width=self.width) - return frame[:, :, None] + if self.grayscale: + frame = rgb2gray(frame) + frame = resize(frame, height=self.height, width=self.width) + return frame[:, :, None] + else: + return resize(frame, height=self.height, width=self.width) + + +WarpFrame = GrayScaleAndResize @PublicAPI @@ -327,6 +337,7 @@ def wrap_atari_for_new_api_stack( dim: int = 64, frameskip: int = 4, framestack: Optional[int] = None, + grayscale: bool = True, # TODO (sven): Add option to NOT grayscale, in which case framestack must be None # (b/c we are using the 3 color channels already as stacking frames). ) -> gym.Env: @@ -352,7 +363,7 @@ def wrap_atari_for_new_api_stack( # Time limit. env = gym.wrappers.TimeLimit(env, max_episode_steps=108000) # Grayscale + resize. - env = WarpFrame(env, dim=dim) + env = WarpFrame(env, dim=dim, grayscale=grayscale) # Normalize the image. env = NormalizedImageEnv(env) # Frameskip: Take max over these n frames. diff --git a/rllib/tuned_examples/dreamerv3/atari_100k.py b/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py similarity index 67% rename from rllib/tuned_examples/dreamerv3/atari_100k.py rename to rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py index 60419424124d..c1152c1b8506 100644 --- a/rllib/tuned_examples/dreamerv3/atari_100k.py +++ b/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py @@ -14,7 +14,11 @@ # To see all available options: # python [this script name].py --help +import gymnasium as gym + +from ray import tune from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config +from ray.rllib.env.wrappers.atari_wrappers import wrap_atari_for_new_api_stack from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args( @@ -22,14 +26,36 @@ default_reward=20.0, default_timesteps=100000, ) +parser.set_defaults(env="ale_py:ALE/Pong-v5") # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() +# If we use >1 GPU and increase the batch size accordingly, we should also +# increase the number of envs per worker. +if args.num_envs_per_env_runner is None: + args.num_envs_per_env_runner = args.num_learners or 1 + + +# Create the DreamerV3-typical Atari setup. +def _env_creator(cfg): + return wrap_atari_for_new_api_stack( + gym.make(args.env, **cfg, render_mode="rgb_array"), + # No framestacking necessary for Dreamer. + framestack=None, + # No grayscaling necessary for Dreamer. + grayscale=False, + ) + + +tune.register_env("env", _env_creator) + +default_config = DreamerV3Config() +lr_multiplier = (args.num_learners or 1) ** 0.5 config = ( DreamerV3Config() .environment( - env=args.env, + env="env", # [2]: "We follow the evaluation protocol of Machado et al. (2018) with 200M # environment steps, action repeat of 4, a time limit of 108,000 steps per # episode that correspond to 30 minutes of game play, no access to life @@ -47,11 +73,7 @@ }, ) .env_runners( - num_env_runners=(args.num_env_runners or 0), - # If we use >1 GPU and increase the batch size accordingly, we should also - # increase the number of envs per worker. - num_envs_per_env_runner=(args.num_learners or 1), - remote_worker_envs=(args.num_learners > 1), + remote_worker_envs=(args.num_learners and args.num_learners > 1), ) .reporting( metrics_num_episodes_for_smoothing=(args.num_learners or 1), @@ -64,6 +86,9 @@ model_size="S", training_ratio=1024, batch_size_B=16 * (args.num_learners or 1), + world_model_lr=default_config.world_model_lr * lr_multiplier, + actor_lr=default_config.actor_lr * lr_multiplier, + critic_lr=default_config.critic_lr * lr_multiplier, ) ) @@ -71,4 +96,4 @@ if __name__ == "__main__": from ray.rllib.utils.test_utils import run_rllib_example_script_experiment - run_rllib_example_script_experiment(config, args, keep_config=True) + run_rllib_example_script_experiment(config, args) diff --git a/rllib/tuned_examples/dreamerv3/atari_200M.py b/rllib/tuned_examples/dreamerv3/atari_200M_dreamerv3.py similarity index 82% rename from rllib/tuned_examples/dreamerv3/atari_200M.py rename to rllib/tuned_examples/dreamerv3/atari_200M_dreamerv3.py index ff13e90bb32d..9ae42a172ada 100644 --- a/rllib/tuned_examples/dreamerv3/atari_200M.py +++ b/rllib/tuned_examples/dreamerv3/atari_200M_dreamerv3.py @@ -26,6 +26,14 @@ # and (if needed) use their values to set up `config` below. args = parser.parse_args() +# If we use >1 GPU and increase the batch size accordingly, we should also +# increase the number of envs per worker. +if args.num_envs_per_env_runner is None: + args.num_envs_per_env_runner = 8 * (args.num_learners or 1) + +default_config = DreamerV3Config() +lr_multiplier = (args.num_learners or 1) ** 0.5 + config = ( DreamerV3Config() .resources( @@ -53,10 +61,6 @@ }, ) .env_runners( - num_env_runners=(args.num_env_runners or 0), - # If we use >1 GPU and increase the batch size accordingly, we should also - # increase the number of envs per worker. - num_envs_per_env_runner=8 * (args.num_learners or 1), remote_worker_envs=True, ) .reporting( @@ -70,6 +74,9 @@ model_size="XL", training_ratio=64, batch_size_B=16 * (args.num_learners or 1), + world_model_lr=default_config.world_model_lr * lr_multiplier, + actor_lr=default_config.actor_lr * lr_multiplier, + critic_lr=default_config.critic_lr * lr_multiplier, ) ) @@ -77,4 +84,4 @@ if __name__ == "__main__": from ray.rllib.utils.test_utils import run_rllib_example_script_experiment - run_rllib_example_script_experiment(config, args, keep_config=True) + run_rllib_example_script_experiment(config, args) diff --git a/rllib/tuned_examples/dreamerv3/cartpole.py b/rllib/tuned_examples/dreamerv3/cartpole_dreamerv3.py similarity index 90% rename from rllib/tuned_examples/dreamerv3/cartpole.py rename to rllib/tuned_examples/dreamerv3/cartpole_dreamerv3.py index b81315199741..87e5111397fe 100644 --- a/rllib/tuned_examples/dreamerv3/cartpole.py +++ b/rllib/tuned_examples/dreamerv3/cartpole_dreamerv3.py @@ -10,7 +10,7 @@ from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py config = ( DreamerV3Config() diff --git a/rllib/tuned_examples/dreamerv3/dm_control_suite_vision.py b/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py similarity index 68% rename from rllib/tuned_examples/dreamerv3/dm_control_suite_vision.py rename to rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py index 8035d7e3ada3..15a03ed1521e 100644 --- a/rllib/tuned_examples/dreamerv3/dm_control_suite_vision.py +++ b/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py @@ -25,6 +25,13 @@ # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() +# If we use >1 GPU and increase the batch size accordingly, we should also +# increase the number of envs per worker. +if args.num_envs_per_env_runner is None: + args.num_envs_per_env_runner = 4 * (args.num_learners or 1) + +default_config = DreamerV3Config() +lr_multiplier = (args.num_learners or 1) ** 0.5 config = ( DreamerV3Config() @@ -34,10 +41,6 @@ env_config={"from_pixels": True}, ) .env_runners( - num_env_runners=(args.num_env_runners or 0), - # If we use >1 GPU and increase the batch size accordingly, we should also - # increase the number of envs per worker. - num_envs_per_env_runner=4 * (args.num_learners or 1), remote_worker_envs=True, ) .reporting( @@ -51,5 +54,14 @@ model_size="S", training_ratio=512, batch_size_B=16 * (args.num_learners or 1), + world_model_lr=default_config.world_model_lr * lr_multiplier, + actor_lr=default_config.actor_lr * lr_multiplier, + critic_lr=default_config.critic_lr * lr_multiplier, ) ) + + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + run_rllib_example_script_experiment(config, args) diff --git a/rllib/tuned_examples/dreamerv3/flappy_bird.py b/rllib/tuned_examples/dreamerv3/flappy_bird_dreamerv3.py similarity index 93% rename from rllib/tuned_examples/dreamerv3/flappy_bird.py rename to rllib/tuned_examples/dreamerv3/flappy_bird_dreamerv3.py index 31755b6dfe3c..9df59d67f384 100644 --- a/rllib/tuned_examples/dreamerv3/flappy_bird.py +++ b/rllib/tuned_examples/dreamerv3/flappy_bird_dreamerv3.py @@ -9,7 +9,10 @@ """ # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config from ray import tune @@ -28,7 +31,7 @@ def _env_creator(ctx): import flappy_bird_gymnasium # noqa doctest: +SKIP import gymnasium as gym from supersuit.generic_wrappers import resize_v1 - from ray.rllib.algorithms.dreamerv3.utils.env_runner import NormalizedImageEnv + from ray.rllib.env.wrappers.atari_wrappers import NormalizedImageEnv return NormalizedImageEnv( resize_v1( # resize to 64x64 and normalize images diff --git a/rllib/tuned_examples/dreamerv3/frozenlake_2x2.py b/rllib/tuned_examples/dreamerv3/frozenlake_2x2_dreamerv3.py similarity index 86% rename from rllib/tuned_examples/dreamerv3/frozenlake_2x2.py rename to rllib/tuned_examples/dreamerv3/frozenlake_2x2_dreamerv3.py index 03ac201479d3..05e1509dc326 100644 --- a/rllib/tuned_examples/dreamerv3/frozenlake_2x2.py +++ b/rllib/tuned_examples/dreamerv3/frozenlake_2x2_dreamerv3.py @@ -10,7 +10,10 @@ from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help config = ( DreamerV3Config() diff --git a/rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic.py b/rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic_dreamerv3.py similarity index 85% rename from rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic.py rename to rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic_dreamerv3.py index dd6a80470925..8d0a9108e93d 100644 --- a/rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic.py +++ b/rllib/tuned_examples/dreamerv3/frozenlake_4x4_deterministic_dreamerv3.py @@ -10,7 +10,10 @@ from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help config = ( DreamerV3Config() diff --git a/rllib/tuned_examples/dreamerv3/gymnasium_robotics.py b/rllib/tuned_examples/dreamerv3/gymnasium_robotics_dreamerv3.py similarity index 95% rename from rllib/tuned_examples/dreamerv3/gymnasium_robotics.py rename to rllib/tuned_examples/dreamerv3/gymnasium_robotics_dreamerv3.py index 14fd1f930703..87986793b2cb 100644 --- a/rllib/tuned_examples/dreamerv3/gymnasium_robotics.py +++ b/rllib/tuned_examples/dreamerv3/gymnasium_robotics_dreamerv3.py @@ -9,7 +9,10 @@ """ # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help try: import gymnasium_robotics # noqa diff --git a/rllib/tuned_examples/dreamerv3/highway_env.py b/rllib/tuned_examples/dreamerv3/highway_env_dreamerv3.py similarity index 95% rename from rllib/tuned_examples/dreamerv3/highway_env.py rename to rllib/tuned_examples/dreamerv3/highway_env_dreamerv3.py index c3588f502c1a..beeb0d4370a1 100644 --- a/rllib/tuned_examples/dreamerv3/highway_env.py +++ b/rllib/tuned_examples/dreamerv3/highway_env_dreamerv3.py @@ -9,7 +9,10 @@ """ # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help try: import highway_env # noqa diff --git a/rllib/tuned_examples/dreamerv3/pendulum.py b/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py similarity index 82% rename from rllib/tuned_examples/dreamerv3/pendulum.py rename to rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py index 4acc4b9aa85a..cfb9c49f6d1c 100644 --- a/rllib/tuned_examples/dreamerv3/pendulum.py +++ b/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py @@ -10,7 +10,10 @@ from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config # Run with: -# python run_regression_tests.py --dir [this file] +# python [this script name].py + +# To see all available options: +# python [this script name].py --help config = ( DreamerV3Config() diff --git a/rllib/utils/tests/test_torch_utils.py b/rllib/utils/tests/test_torch_utils.py index af97ed587b90..a06e0f6ddce0 100644 --- a/rllib/utils/tests/test_torch_utils.py +++ b/rllib/utils/tests/test_torch_utils.py @@ -4,10 +4,12 @@ import torch.cuda import ray +from ray.rllib.utils.test_utils import check from ray.rllib.utils.torch_utils import ( clip_gradients, convert_to_torch_tensor, copy_torch_tensors, + two_hot, ) @@ -118,6 +120,52 @@ def test_large_gradients_clipping(self): self.assertFalse(total_norm.isneginf()) print(f"total norm for small gradients: {total_norm}") + def test_two_hot(self): + # Test value that's exactly on one of the bucket boundaries. This used to return + # a two-hot vector with a NaN in it, as k == kp1 at that boundary. + check( + two_hot(torch.tensor([0.0]), 10, -5.0, 5.0), + np.array([[0, 0, 0, 0, 0.5, 0.5, 0, 0, 0, 0]]), + ) + + # Test violating the boundaries (upper and lower). + upper_bound = np.zeros((255,)) + upper_bound[-1] = 1.0 + lower_bound = np.zeros((255,)) + lower_bound[0] = 1.0 + check( + two_hot(torch.tensor([20.1, 50.0, 150.0, -20.00001])), + np.array([upper_bound, upper_bound, upper_bound, lower_bound]), + ) + + # Test other cases. + check( + two_hot(torch.tensor([2.5]), 11, -5.0, 5.0), + np.array([[0, 0, 0, 0, 0, 0, 0, 0.5, 0.5, 0, 0]]), + ) + check( + two_hot(torch.tensor([2.5, 0.1]), 10, -5.0, 5.0), + np.array( + [ + [0, 0, 0, 0, 0, 0, 0.25, 0.75, 0, 0], + [0, 0, 0, 0, 0.41, 0.59, 0, 0, 0, 0], + ] + ), + ) + check( + two_hot(torch.tensor([0.1]), 4, -1.0, 1.0), + np.array([[0, 0.35, 0.65, 0]]), + ) + check( + two_hot(torch.tensor([-0.5, -1.2]), 9, -6.0, 3.0), + np.array( + [ + [0, 0, 0, 0, 0.11111, 0.88889, 0, 0, 0], + [0, 0, 0, 0, 0.73333, 0.26667, 0, 0, 0], + ] + ), + ) + if __name__ == "__main__": import pytest diff --git a/rllib/utils/torch_utils.py b/rllib/utils/torch_utils.py index 62901b98cfba..96a0b44ba3d5 100644 --- a/rllib/utils/torch_utils.py +++ b/rllib/utils/torch_utils.py @@ -751,6 +751,129 @@ def softmax_cross_entropy_with_logits( return torch.sum(-labels * nn.functional.log_softmax(logits, -1), -1) +@PublicAPI +def symlog(x: "torch.Tensor") -> "torch.Tensor": + """The symlog function as described in [1]: + + [1] Mastering Diverse Domains through World Models - 2023 + D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap + https://arxiv.org/pdf/2301.04104v1.pdf + """ + return torch.sign(x) * torch.log(torch.abs(x) + 1) + + +@PublicAPI +def inverse_symlog(y: "torch.Tensor") -> "torch.Tensor": + """Inverse of the `symlog` function as desribed in [1]: + + [1] Mastering Diverse Domains through World Models - 2023 + D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap + https://arxiv.org/pdf/2301.04104v1.pdf + """ + # To get to symlog inverse, we solve the symlog equation for x: + # y = sign(x) * log(|x| + 1) + # <=> y / sign(x) = log(|x| + 1) + # <=> y = log( x + 1) V x >= 0 + # -y = log(-x + 1) V x < 0 + # <=> exp(y) = x + 1 V x >= 0 + # exp(-y) = -x + 1 V x < 0 + # <=> exp(y) - 1 = x V x >= 0 + # exp(-y) - 1 = -x V x < 0 + # <=> exp(y) - 1 = x V x >= 0 (if x >= 0, then y must also be >= 0) + # -exp(-y) - 1 = x V x < 0 (if x < 0, then y must also be < 0) + # <=> sign(y) * (exp(|y|) - 1) = x + return torch.sign(y) * (torch.exp(torch.abs(y)) - 1) + + +@PublicAPI +def two_hot( + value: "torch.Tensor", + num_buckets: int = 255, + lower_bound: float = -20.0, + upper_bound: float = 20.0, + device: Optional[str] = None, +): + """Returns a two-hot vector of dim=num_buckets with two entries that are non-zero. + + See [1] for more details: + [1] Mastering Diverse Domains through World Models - 2023 + D. Hafner, J. Pasukonis, J. Ba, T. Lillicrap + https://arxiv.org/pdf/2301.04104v1.pdf + + Entries in the vector represent equally sized buckets within some fixed range + (`lower_bound` to `upper_bound`). + Those entries not 0.0 at positions k and k+1 encode the actual `value` and sum + up to 1.0. They are the weights multiplied by the buckets values at k and k+1 for + retrieving `value`. + + Example: + num_buckets=11 + lower_bound=-5 + upper_bound=5 + value=2.5 + -> [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0] + -> [-5 -4 -3 -2 -1 0 1 2 3 4 5] (0.5*2 + 0.5*3=2.5) + + Example: + num_buckets=5 + lower_bound=-1 + upper_bound=1 + value=0.1 + -> [0.0, 0.0, 0.8, 0.2, 0.0] + -> [-1 -0.5 0 0.5 1] (0.2*0.5 + 0.8*0=0.1) + + Args: + value: The input tensor of shape (B,) to be two-hot encoded. + num_buckets: The number of buckets to two-hot encode into. + lower_bound: The lower bound value used for the encoding. If input values are + lower than this boundary, they will be encoded as `lower_bound`. + upper_bound: The upper bound value used for the encoding. If input values are + higher than this boundary, they will be encoded as `upper_bound`. + + Returns: + The two-hot encoded tensor of shape (B, num_buckets). + """ + # First make sure, values are clipped. + value = torch.clamp(value, lower_bound, upper_bound) + # Tensor of batch indices: [0, B=batch size). + batch_indices = torch.arange(0, value.shape[0], device=device).float() + # Calculate the step deltas (how much space between each bucket's central value?). + bucket_delta = (upper_bound - lower_bound) / (num_buckets - 1) + # Compute the float indices (might be non-int numbers: sitting between two buckets). + idx = (-lower_bound + value) / bucket_delta + # k + k = torch.floor(idx) + # k+1 + kp1 = torch.ceil(idx) + # In case k == kp1 (idx is exactly on the bucket boundary), move kp1 up by 1.0. + # Otherwise, this would result in a NaN in the returned two-hot tensor. + kp1 = torch.where(k.eq(kp1), kp1 + 1.0, kp1) + # Iff `kp1` is one beyond our last index (because incoming value is larger than + # `upper_bound`), move it to one before k (kp1's weight is going to be 0.0 anyways, + # so it doesn't matter where it points to; we are just avoiding an index error + # with this). + kp1 = torch.where(kp1.eq(num_buckets), kp1 - 2.0, kp1) + # The actual values found at k and k+1 inside the set of buckets. + values_k = lower_bound + k * bucket_delta + values_kp1 = lower_bound + kp1 * bucket_delta + # Compute the two-hot weights (adding up to 1.0) to use at index k and k+1. + weights_k = (value - values_kp1) / (values_k - values_kp1) + weights_kp1 = 1.0 - weights_k + # Compile a tensor of full paths (indices from batch index to feature index) to + # use for the scatter_nd op. + indices_k = torch.stack([batch_indices, k], dim=-1) + indices_kp1 = torch.stack([batch_indices, kp1], dim=-1) + indices = torch.cat([indices_k, indices_kp1], dim=0).long() + # The actual values (weights adding up to 1.0) to place at the computed indices. + updates = torch.cat([weights_k, weights_kp1], dim=0) + # Call the actual scatter update op, returning a zero-filled tensor, only changed + # at the given indices. + output = torch.zeros(value.shape[0], num_buckets, device=device) + # Set our two-hot values at computed indices. + output[indices[:, 0], indices[:, 1]] = updates + return output + + def _dynamo_is_available(): # This only works if torch._dynamo is available try: From ca3e158d5dfb5f34084dcc4b3e9ecbe4e6dadf5c Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Wed, 30 Jul 2025 10:40:05 -0700 Subject: [PATCH 0403/1566] [Data] `map_batches` set default row modification to False and explicitly don't push past in limit (#54992) ## Why are these changes needed? We will expose a flag later to opt-in to not preserving rows for `map_batches` but until then we need to assume that row preservation is guaranteed for `map_batches`. As a result we explicitly prohibit pushing the limit operator past this. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/logical/operators/map_operator.py | 2 +- python/ray/data/_internal/logical/rules/limit_pushdown.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index cca690060423..6b1bcefba5ad 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -183,7 +183,7 @@ def __init__( self._zero_copy_batch = zero_copy_batch def can_modify_num_rows(self) -> bool: - return True + return False class MapRows(AbstractUDFMap): diff --git a/python/ray/data/_internal/logical/rules/limit_pushdown.py b/python/ray/data/_internal/logical/rules/limit_pushdown.py index f558490fcc99..c3c8e5f786e3 100644 --- a/python/ray/data/_internal/logical/rules/limit_pushdown.py +++ b/python/ray/data/_internal/logical/rules/limit_pushdown.py @@ -3,6 +3,7 @@ from typing import Iterable, List from ray.data._internal.logical.interfaces import LogicalOperator, LogicalPlan, Rule +from ray.data._internal.logical.operators.map_operator import MapBatches from ray.data._internal.logical.operators.n_ary_operator import Union from ray.data._internal.logical.operators.one_to_one_operator import ( AbstractOneToOne, @@ -112,6 +113,7 @@ def _push_limit_down(self, limit_op: Limit) -> LogicalOperator: while ( isinstance(new_input_into_limit, AbstractOneToOne) and not new_input_into_limit.can_modify_num_rows() + and not isinstance(new_input_into_limit, MapBatches) # We should push past MapBatches, but MapBatches can modify the row count TODO: add a flag in map_batches that allows the user to opt in ensure row preservation ): new_input_into_limit_copy = copy.copy(new_input_into_limit) From ea88f635c785793dbcb261ba465b2c2db7cf5bb8 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 10:41:03 -0700 Subject: [PATCH 0404/1566] [wheel] use hermetic genrule to perform protobuf import path renaming (#55037) stop using local genrule to perform the renaming. this makes it more cacheable. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 57 +++++++++++++++++++++++++++-------- ci/docker/base.gpu.Dockerfile | 2 +- 2 files changed, 45 insertions(+), 14 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 84754d377c3b..43a33ba73e43 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -1049,6 +1049,12 @@ pkg_files( name = "raylet_so_files", srcs = ["python/ray/_raylet.so"], attributes = pkg_attributes(mode = "755"), + renames = select({ + "@platforms//os:windows": { + "python/ray/_raylet.so": "python/ray/_raylet.pyd", + }, + "//conditions:default": {}, + }), strip_prefix = "python", visibility = ["//visibility:private"], ) @@ -1132,31 +1138,30 @@ pkg_zip( ) genrule( - name = "install_py_proto", + name = "ray_py_proto_zip", srcs = [ ":core_py_proto_zip", ":serve_py_proto_zip", ], - outs = ["install_py_proto.out"], + outs = ["ray_py_proto.zip"], cmd = """ set -euo pipefail - rm -rf python/ray/core/generated/* - rm -rf python/ray/serve/generated/* + tmpdir=$$(mktemp -d) - unzip -o -q $(location :core_py_proto_zip) -d python - unzip -o -q $(location :serve_py_proto_zip) -d python + unzip -o -q $(location :core_py_proto_zip) -d "$$tmpdir" + unzip -o -q $(location :serve_py_proto_zip) -d "$$tmpdir" files=( - $$(ls python/ray/core/generated/*_pb2*.py) - $$(ls python/ray/serve/generated/*_pb2*.py) + $$(ls "$$tmpdir"/ray/core/generated/*_pb2*.py) + $$(ls "$$tmpdir"/ray/serve/generated/*_pb2*.py) ) # NOTE(hchen): Protobuf doesn't allow specifying Python package name. So we use this `sed` # command to change the import path in the generated file. sed -i -E 's/from src.ray.protobuf/from ./' "$${files[@]}" # Help the generated serve files to have the correct module - serve_files=($$(ls python/ray/serve/generated/*_pb2*.py)) + serve_files=($$(ls "$$tmpdir"/ray/serve/generated/*_pb2*.py)) sed -i -E 's/'"'"'src.ray.protobuf./'"'"'ray.serve.generated./' "$${serve_files[@]}" # TODO(sang): Build our own proto instead of creating a new proto for opencensus separately. @@ -1164,6 +1169,31 @@ genrule( sed -i -E 's/from opencensus.proto.metrics.v1 import/from . import/' "$${files[@]}" sed -i -E 's/from opencensus.proto.resource.v1 import/from . import/' "$${files[@]}" + # Set the modification time to 2025-01-01 00:00:00 + # This makes the zip file building deterministic and reproducible. + touch -t 202501010000 "$${files[@]}" + touch -t 202501010000 "$$tmpdir"/ray/ \ + "$$tmpdir"/ray/core "$$tmpdir"/ray/core/generated \ + "$$tmpdir"/ray/serve "$$tmpdir"/ray/serve/generated + + (cd "$$tmpdir"; zip -0 -X -r output.zip ray) + mv "$$tmpdir/output.zip" $@ + """, + visibility = ["//visibility:private"], +) + +genrule( + name = "install_py_proto", + srcs = [ + ":ray_py_proto_zip", + ], + outs = ["install_py_proto.out"], + cmd = """ + set -euo pipefail + + rm -rf python/ray/core/generated python/ray/serve/generated + unzip -o -q $(location :ray_py_proto_zip) -d python + echo "$${PWD}" > $@ """, local = 1, @@ -1173,16 +1203,17 @@ genrule( name = "ray_pkg", srcs = [ ":python_sources", - ":install_py_proto", + ":ray_py_proto_zip", ":ray_pkg_zip", ], outs = ["ray_pkg.out"], cmd = """ + set -euo pipefail + + rm -rf python/ray/core/generated python/ray/serve/generated + unzip -o -q $(location :ray_py_proto_zip) -d "python" unzip -o -q $(location :ray_pkg_zip) -d "python" - if [[ "$${OSTYPE-}" == "msys" ]]; then - ln -P -f -- python/ray/_raylet.so python/ray/_raylet.pyd - fi echo "$${PWD}" > $@ """, local = 1, diff --git a/ci/docker/base.gpu.Dockerfile b/ci/docker/base.gpu.Dockerfile index b140eff93ce6..61ab269745a5 100644 --- a/ci/docker/base.gpu.Dockerfile +++ b/ci/docker/base.gpu.Dockerfile @@ -32,7 +32,7 @@ set -euo pipefail apt-get update -qq && apt-get upgrade -qq apt-get install -y -qq \ curl python-is-python3 git build-essential \ - sudo unzip unrar apt-utils dialog tzdata wget rsync \ + sudo zip unzip unrar apt-utils dialog tzdata wget rsync \ language-pack-en tmux cmake gdb vim htop \ libgtk2.0-dev zlib1g-dev libgl1-mesa-dev \ clang-format-12 jq \ From 3d5a837e163a16a0d6b8b3b03b959defbd8d7682 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 30 Jul 2025 11:18:58 -0700 Subject: [PATCH 0405/1566] [Data] Refactor planner interface (#55018) ## Why are these changes needed? This PR refactors `Planner` to better encapsulate planning logic. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/planner/planner.py | 353 +++++++++---------- 1 file changed, 172 insertions(+), 181 deletions(-) diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index de55604a83e7..fa8d3b309a34 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -1,164 +1,120 @@ -from typing import Callable, Dict, List, Tuple, Type, TypeVar +from typing import Callable, Dict, List, Optional, Tuple, Type, TypeVar from ray.data._internal.execution.interfaces import PhysicalOperator +from ray.data._internal.execution.operators.aggregate_num_rows import ( + AggregateNumRows, +) +from ray.data._internal.execution.operators.input_data_buffer import ( + InputDataBuffer, +) from ray.data._internal.execution.operators.join import JoinOperator +from ray.data._internal.execution.operators.limit_operator import LimitOperator +from ray.data._internal.execution.operators.union_operator import UnionOperator +from ray.data._internal.execution.operators.zip_operator import ZipOperator from ray.data._internal.logical.interfaces import ( LogicalOperator, LogicalPlan, PhysicalPlan, ) +from ray.data._internal.logical.operators.all_to_all_operator import ( + AbstractAllToAll, +) +from ray.data._internal.logical.operators.count_operator import Count +from ray.data._internal.logical.operators.from_operators import AbstractFrom +from ray.data._internal.logical.operators.input_data_operator import InputData from ray.data._internal.logical.operators.join_operator import Join +from ray.data._internal.logical.operators.map_operator import ( + AbstractUDFMap, + Filter, + Project, + StreamingRepartition, +) +from ray.data._internal.logical.operators.n_ary_operator import Union, Zip +from ray.data._internal.logical.operators.one_to_one_operator import Limit +from ray.data._internal.logical.operators.read_operator import Read +from ray.data._internal.logical.operators.write_operator import Write +from ray.data._internal.planner.plan_all_to_all_op import plan_all_to_all_op +from ray.data._internal.planner.plan_read_op import plan_read_op +from ray.data._internal.planner.plan_udf_map_op import ( + plan_filter_op, + plan_project_op, + plan_streaming_repartition_op, + plan_udf_map_op, +) +from ray.data._internal.planner.plan_write_op import plan_write_op from ray.data.context import DataContext -from ray.util.annotations import DeveloperAPI LogicalOperatorType = TypeVar("LogicalOperatorType", bound=LogicalOperator) - PlanLogicalOpFn = Callable[ [LogicalOperatorType, List[PhysicalOperator], DataContext], PhysicalOperator ] -# A list of registered plan functions for logical operators. -_PLAN_LOGICAL_OP_FNS: Dict[Type[LogicalOperator], PlanLogicalOpFn] = {} - - -@DeveloperAPI -def register_plan_logical_op_fn( - logical_op_type: Type[LogicalOperator], - plan_fn: PlanLogicalOpFn, -): - """Register a plan function for a logical operator type.""" - _PLAN_LOGICAL_OP_FNS[logical_op_type] = plan_fn - - -@DeveloperAPI -def get_plan_logical_op_fns(): - return _PLAN_LOGICAL_OP_FNS.copy() +def plan_input_data_op( + logical_op: InputData, + physical_children: List[PhysicalOperator], + data_context: DataContext, +) -> PhysicalOperator: + """Get the corresponding DAG of physical operators for InputData.""" + assert len(physical_children) == 0 -def _register_default_plan_logical_op_fns(): - from ray.data._internal.execution.operators.aggregate_num_rows import ( - AggregateNumRows, - ) - from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer - from ray.data._internal.execution.operators.limit_operator import LimitOperator - from ray.data._internal.execution.operators.union_operator import UnionOperator - from ray.data._internal.execution.operators.zip_operator import ZipOperator - from ray.data._internal.logical.operators.all_to_all_operator import ( - AbstractAllToAll, - ) - from ray.data._internal.logical.operators.count_operator import Count - from ray.data._internal.logical.operators.from_operators import AbstractFrom - from ray.data._internal.logical.operators.input_data_operator import InputData - from ray.data._internal.logical.operators.map_operator import ( - AbstractUDFMap, - Filter, - Project, - StreamingRepartition, + return InputDataBuffer( + data_context, + input_data=logical_op.input_data, ) - from ray.data._internal.logical.operators.n_ary_operator import Union, Zip - from ray.data._internal.logical.operators.one_to_one_operator import Limit - from ray.data._internal.logical.operators.read_operator import Read - from ray.data._internal.logical.operators.write_operator import Write - from ray.data._internal.planner.plan_all_to_all_op import plan_all_to_all_op - from ray.data._internal.planner.plan_read_op import plan_read_op - from ray.data._internal.planner.plan_udf_map_op import ( - plan_filter_op, - plan_project_op, - plan_streaming_repartition_op, - plan_udf_map_op, - ) - from ray.data._internal.planner.plan_write_op import plan_write_op - - register_plan_logical_op_fn(Read, plan_read_op) - - def plan_input_data_op( - logical_op: InputData, - physical_children: List[PhysicalOperator], - data_context: DataContext, - ) -> PhysicalOperator: - """Get the corresponding DAG of physical operators for InputData.""" - assert len(physical_children) == 0 - - return InputDataBuffer( - data_context, - input_data=logical_op.input_data, - ) - - register_plan_logical_op_fn(InputData, plan_input_data_op) - register_plan_logical_op_fn(Write, plan_write_op) - - def plan_from_op( - op: AbstractFrom, - physical_children: List[PhysicalOperator], - data_context: DataContext, - ) -> PhysicalOperator: - assert len(physical_children) == 0 - return InputDataBuffer(data_context, op.input_data) - register_plan_logical_op_fn(AbstractFrom, plan_from_op) - # Filter is also a AbstractUDFMap, so it needs to resolve - # before the AbstractUDFMap plan - # TODO(rliaw): Break up plan_udf_map_op - register_plan_logical_op_fn(Filter, plan_filter_op) - register_plan_logical_op_fn(AbstractUDFMap, plan_udf_map_op) - register_plan_logical_op_fn(AbstractAllToAll, plan_all_to_all_op) - def plan_zip_op(_, physical_children, data_context): - assert len(physical_children) == 2 - return ZipOperator(physical_children[0], physical_children[1], data_context) +def plan_from_op( + op: AbstractFrom, + physical_children: List[PhysicalOperator], + data_context: DataContext, +) -> PhysicalOperator: + assert len(physical_children) == 0 + return InputDataBuffer(data_context, op.input_data) - register_plan_logical_op_fn(Zip, plan_zip_op) - def plan_union_op(_, physical_children, data_context): - assert len(physical_children) >= 2 - return UnionOperator(data_context, *physical_children) +def plan_zip_op(_, physical_children, data_context): + assert len(physical_children) == 2 + return ZipOperator(physical_children[0], physical_children[1], data_context) - register_plan_logical_op_fn(Union, plan_union_op) - def plan_limit_op(logical_op, physical_children, data_context): - assert len(physical_children) == 1 - return LimitOperator(logical_op._limit, physical_children[0], data_context) +def plan_union_op(_, physical_children, data_context): + assert len(physical_children) >= 2 + return UnionOperator(data_context, *physical_children) - register_plan_logical_op_fn(Limit, plan_limit_op) - def plan_count_op(logical_op, physical_children, data_context): - assert len(physical_children) == 1 - return AggregateNumRows( - [physical_children[0]], data_context, column_name=Count.COLUMN_NAME - ) +def plan_limit_op(logical_op, physical_children, data_context): + assert len(physical_children) == 1 + return LimitOperator(logical_op._limit, physical_children[0], data_context) - register_plan_logical_op_fn(Count, plan_count_op) - - register_plan_logical_op_fn(Project, plan_project_op) - - register_plan_logical_op_fn(StreamingRepartition, plan_streaming_repartition_op) - - def plan_join_op( - logical_op: Join, - physical_children: List[PhysicalOperator], - data_context: DataContext, - ) -> PhysicalOperator: - assert len(physical_children) == 2 - assert logical_op._num_outputs is not None - - return JoinOperator( - data_context=data_context, - left_input_op=physical_children[0], - right_input_op=physical_children[1], - join_type=logical_op._join_type, - left_key_columns=logical_op._left_key_columns, - right_key_columns=logical_op._right_key_columns, - left_columns_suffix=logical_op._left_columns_suffix, - right_columns_suffix=logical_op._right_columns_suffix, - num_partitions=logical_op._num_outputs, - partition_size_hint=logical_op._partition_size_hint, - aggregator_ray_remote_args_override=logical_op._aggregator_ray_remote_args, - ) - register_plan_logical_op_fn(Join, plan_join_op) +def plan_count_op(logical_op, physical_children, data_context): + assert len(physical_children) == 1 + return AggregateNumRows( + [physical_children[0]], data_context, column_name=Count.COLUMN_NAME + ) -_register_default_plan_logical_op_fns() +def plan_join_op( + logical_op: Join, + physical_children: List[PhysicalOperator], + data_context: DataContext, +) -> PhysicalOperator: + assert len(physical_children) == 2 + assert logical_op._num_outputs is not None + return JoinOperator( + data_context=data_context, + left_input_op=physical_children[0], + right_input_op=physical_children[1], + join_type=logical_op._join_type, + left_key_columns=logical_op._left_key_columns, + right_key_columns=logical_op._right_key_columns, + left_columns_suffix=logical_op._left_columns_suffix, + right_columns_suffix=logical_op._right_columns_suffix, + num_partitions=logical_op._num_outputs, + partition_size_hint=logical_op._partition_size_hint, + aggregator_ray_remote_args_override=logical_op._aggregator_ray_remote_args, + ) class Planner: @@ -168,68 +124,103 @@ class Planner: done by physical optimizer. """ + _DEFAULT_PLAN_FNS = { + Read: plan_read_op, + InputData: plan_input_data_op, + Write: plan_write_op, + AbstractFrom: plan_from_op, + Filter: plan_filter_op, + AbstractUDFMap: plan_udf_map_op, + AbstractAllToAll: plan_all_to_all_op, + Union: plan_union_op, + Zip: plan_zip_op, + Limit: plan_limit_op, + Count: plan_count_op, + Project: plan_project_op, + StreamingRepartition: plan_streaming_repartition_op, + Join: plan_join_op, + } + def plan(self, logical_plan: LogicalPlan) -> PhysicalPlan: """Convert logical to physical operators recursively in post-order.""" - plan_fns = get_plan_logical_op_fns() - physical_dag, op_map = plan_recursively( - logical_plan.dag, plan_fns, logical_plan.context + physical_dag, op_map = self._plan_recursively( + logical_plan.dag, logical_plan.context ) physical_plan = PhysicalPlan(physical_dag, op_map, logical_plan.context) return physical_plan + def get_plan_fn(self, logical_op: LogicalOperator) -> PlanLogicalOpFn: + plan_fn = find_plan_fn(logical_op, self._DEFAULT_PLAN_FNS) + if plan_fn is not None: + return plan_fn -@DeveloperAPI -def plan_recursively( - logical_op: LogicalOperator, - plan_fns: Dict[Type[LogicalOperator], PlanLogicalOpFn], - data_context: DataContext, -) -> Tuple[PhysicalOperator, Dict[PhysicalOperator, LogicalOperator]]: - """Plan a logical operator and its input dependencies recursively. + raise ValueError( + f"Found unknown logical operator during planning: {logical_op}" + ) + + def _plan_recursively( + self, logical_op: LogicalOperator, data_context: DataContext + ) -> Tuple[PhysicalOperator, Dict[LogicalOperator, PhysicalOperator]]: + """Plan a logical operator and its input dependencies recursively. + + Args: + logical_op: The logical operator to plan. + data_context: The data context. + + Returns: + A tuple of the physical operator corresponding to the logical operator, and + a mapping from physical to logical operators. + """ + op_map: Dict[PhysicalOperator, LogicalOperator] = {} + + # Plan the input dependencies first. + physical_children = [] + for child in logical_op.input_dependencies: + physical_child, child_op_map = self._plan_recursively(child, data_context) + physical_children.append(physical_child) + op_map.update(child_op_map) + + plan_fn = self.get_plan_fn(logical_op) + # We will call `set_logical_operators()` in the following for-loop, + # no need to do it here. + physical_op = plan_fn(logical_op, physical_children, data_context) + + # Traverse up the DAG, and set the mapping from physical to logical operators. + # At this point, all physical operators without logical operators set + # must have been created by the current logical operator. + queue = [physical_op] + while queue: + curr_physical_op = queue.pop() + # Once we find an operator with a logical operator set, we can stop. + if curr_physical_op._logical_operators: + break + + curr_physical_op.set_logical_operators(logical_op) + queue.extend(physical_op.input_dependencies) + + op_map[physical_op] = logical_op + return physical_op, op_map + + +def find_plan_fn( + logical_op: LogicalOperator, plan_fns: Dict[Type[LogicalOperator], PlanLogicalOpFn] +) -> Optional[PlanLogicalOpFn]: + """Find the plan function for a logical operator. + + This function goes through the plan functions in order and returns the first one + that is an instance of the logical operator type. Args: - logical_op: The logical operator to plan. - plan_fns: A dictionary of planning functions for different logical operator - types. - data_context: The data context. + logical_op: The logical operator to find the plan function for. + plan_fns: The dictionary of plan functions. Returns: - A tuple of the physical operator corresponding to the logical operator, and - a mapping from physical to logical operators. + The plan function for the logical operator, or None if no plan function is + found. """ - op_map: Dict[PhysicalOperator, LogicalOperator] = {} - - # Plan the input dependencies first. - physical_children = [] - for child in logical_op.input_dependencies: - physical_child, child_op_map = plan_recursively(child, plan_fns, data_context) - physical_children.append(physical_child) - op_map.update(child_op_map) - - physical_op = None + # TODO: This implementation doesn't account for type hierarchies conflicts or + # multiple inheritance. for op_type, plan_fn in plan_fns.items(): if isinstance(logical_op, op_type): - # We will call `set_logical_operators()` in the following for-loop, - # no need to do it here. - physical_op = plan_fn(logical_op, physical_children, data_context) - break - - if physical_op is None: - raise ValueError( - f"Found unknown logical operator during planning: {logical_op}" - ) - - # Traverse up the DAG, and set the mapping from physical to logical operators. - # At this point, all physical operators without logical operators set - # must have been created by the current logical operator. - queue = [physical_op] - while queue: - curr_physical_op = queue.pop() - # Once we find an operator with a logical operator set, we can stop. - if curr_physical_op._logical_operators: - break - - curr_physical_op.set_logical_operators(logical_op) - queue.extend(physical_op.input_dependencies) - - op_map[physical_op] = logical_op - return physical_op, op_map + return plan_fn + return None From 3ac4a3db4bbc576a26abb82fcf01358c0d26af9b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 30 Jul 2025 11:38:39 -0700 Subject: [PATCH 0406/1566] [ci] raydepsets: build graph execution (#54610) adding build graph execution for raydepsets --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 1 + ci/raydepsets/cli.py | 34 +++++++++++++++++--- ci/raydepsets/depset.config.yaml | 8 ++++- ci/raydepsets/test_cli.py | 50 ++++++++++++++++++++++++++++++ release/requirements_buildkite.in | 1 + release/requirements_buildkite.txt | 4 +++ 6 files changed, 92 insertions(+), 6 deletions(-) diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 4876584d45d3..59eb8109505c 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -12,6 +12,7 @@ py_library( ci_require("bazel-runfiles"), ci_require("click"), ci_require("pyyaml"), + ci_require("networkx"), ], ) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index f569ade336e6..b4cb2922121f 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -5,6 +5,7 @@ import subprocess import platform import runfiles +from networkx import DiGraph, topological_sort DEFAULT_UV_FLAGS = [ "--generate-hashes", @@ -38,7 +39,7 @@ def load(config_path: str, workspace_dir: str, name: str): if name: manager.execute_single(manager.get_depset(name)) else: - manager.execute_all() + manager.execute() class DependencySetManager: @@ -49,6 +50,33 @@ def __init__( ): self.workspace = Workspace(workspace_dir) self.config = self.workspace.load_config(config_path) + self.build_graph = DiGraph() + self._build() + + def _build(self): + for depset in self.config.depsets: + if depset.operation == "compile": + self.build_graph.add_node( + depset.name, operation="compile", depset=depset + ) + elif depset.operation == "subset": + self.build_graph.add_node( + depset.name, operation="subset", depset=depset + ) + self.build_graph.add_edge(depset.source_depset, depset.name) + elif depset.operation == "expand": + self.build_graph.add_node( + depset.name, operation="expand", depset=depset + ) + for depset_name in depset.depsets: + self.build_graph.add_edge(depset_name, depset.name) + else: + raise ValueError(f"Invalid operation: {depset.operation}") + + def execute(self): + for node in topological_sort(self.build_graph): + depset = self.build_graph.nodes[node]["depset"] + self.execute_single(depset) def get_depset(self, name: str) -> Depset: for depset in self.config.depsets: @@ -64,10 +92,6 @@ def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: raise RuntimeError(f"Failed to execute command: {cmd}") return status.stdout - def execute_all(self): - for depset in self.config.depsets: - self.execute_single(depset) - def execute_single(self, depset: Depset): if depset.operation == "compile": self.compile( diff --git a/ci/raydepsets/depset.config.yaml b/ci/raydepsets/depset.config.yaml index 03e205d065ce..a6b5c0a33a12 100644 --- a/ci/raydepsets/depset.config.yaml +++ b/ci/raydepsets/depset.config.yaml @@ -1,4 +1,10 @@ depsets: + - name: subset_general_depset + operation: subset + source_depset: general_depset + requirements: + - python/requirements/cloud-requirements.txt + output: ci/raydepsets/test/requirements_compiled_subset_general_py311_cpu.txt - name: ray_base_test_depset requirements: - python/requirements.txt @@ -6,7 +12,7 @@ depsets: - python/requirements/base-test-requirements.txt constraints: - python/requirements_compiled_ray_test_py311_cpu.txt - output: python/requirements_compiled_ray_test_py311_cpu.txt + output: ci/raydepsets/test/requirements_compiled_ray_test_py311_cpu.txt operation: compile - name: general_depset operation: compile diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 4131801d35b3..f72a782dcf23 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -15,6 +15,7 @@ from ci.raydepsets.workspace import Workspace from click.testing import CliRunner from pathlib import Path +from networkx import topological_sort _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() @@ -274,6 +275,55 @@ def test_get_path(self): == f"{tmpdir}/requirements_test.txt" ) + def test_build_graph(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + assert manager.build_graph is not None + assert len(manager.build_graph.nodes()) == 5 + assert len(manager.build_graph.edges()) == 3 + assert manager.build_graph.nodes["general_depset"]["operation"] == "compile" + assert ( + manager.build_graph.nodes["subset_general_depset"]["operation"] + == "subset" + ) + assert ( + manager.build_graph.nodes["expand_general_depset"]["operation"] + == "expand" + ) + + sorted_nodes = list(topological_sort(manager.build_graph)) + assert sorted_nodes[0] == "ray_base_test_depset" + assert sorted_nodes[1] == "general_depset" + assert sorted_nodes[2] == "expanded_depset" + + def test_build_graph_bad_operation(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + with open(Path(tmpdir) / "test.config.yaml", "w") as f: + f.write( + """ +depsets: + - name: invalid_op_depset + operation: invalid_op + requirements: + - requirements_test.txt + output: requirements_compiled_invalid_op.txt + """ + ) + with self.assertRaises(ValueError): + DependencySetManager( + config_path="test.config.yaml", + workspace_dir=tmpdir, + ) + + def test_execute(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + def test_expand(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) diff --git a/release/requirements_buildkite.in b/release/requirements_buildkite.in index 891e5d511167..e720631849b0 100644 --- a/release/requirements_buildkite.in +++ b/release/requirements_buildkite.in @@ -22,6 +22,7 @@ aws_requests_auth tzdata requests >= 2.31.0 tqdm +networkx -r requirements-doc.txt # Upgrades diff --git a/release/requirements_buildkite.txt b/release/requirements_buildkite.txt index 4825b8340f9e..8d04428211f9 100644 --- a/release/requirements_buildkite.txt +++ b/release/requirements_buildkite.txt @@ -1125,6 +1125,10 @@ nest-asyncio==1.6.0 \ --hash=sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe \ --hash=sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c # via ipykernel +networkx==3.2.1 \ + --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ + --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 + # via -r release/requirements_buildkite.in nh3==0.2.17 \ --hash=sha256:0316c25b76289cf23be6b66c77d3608a4fdf537b35426280032f432f14291b9a \ --hash=sha256:1a814dd7bba1cb0aba5bcb9bebcc88fd801b63e21e2450ae6c52d3b3336bc911 \ From 5ce797d41ad398cf1941d29e893166bbd3b15cb2 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Wed, 30 Jul 2025 11:44:59 -0700 Subject: [PATCH 0407/1566] [LLM] Update ray-llm image to include EP deps (#54980) ## Why are these changes needed? Add NVSHMEM and PPLX EP kernel dependencies to ray-llm image. This is needed to enable EP serving. We will add DeepEP and DeepGEMM deps in future. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests: https://buildkite.com/ray-project/release/builds/50627 - [x] Manual test: `LLM_ALL2ALL_BACKEND=pplx vllm serve Qwen/Qwen3-30B-A3B-FP8` runs OK on 8xH100 - [ ] This PR is not tested :( --------- Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- docker/ray-llm/Dockerfile | 67 ++++++++++++++++++++++++++++++++++++++- 1 file changed, 66 insertions(+), 1 deletion(-) diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index fbd5fcac46d8..6e8c5e60b56b 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -35,7 +35,8 @@ $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt mkdir -p "${ROOT_DIR}" -CUDA_HOME=`dirname $(dirname $(which nvcc))` +CUDACXX=$(which nvcc) +CUDA_HOME=$(dirname $(dirname ${CUDACXX})) TEMP_DIR="nixl_installer" mkdir -p "${TEMP_DIR}" @@ -121,6 +122,70 @@ NIXL_VERSION="0.3.1" ) sudo rm -rf "${TEMP_DIR}" +EP_TEMP_DIR=$(pwd)/"ep_temp_dir" +mkdir -p "${EP_TEMP_DIR}" + +NVSHMEM_VERSION="3.2.5-1" +( + echo "Installing NVSHMEM ${NVSHMEM_VERSION}" + + # install dependencies if not installed + pip3 install cmake + + cd "${EP_TEMP_DIR}" + mkdir -p nvshmem_src + wget https://developer.download.nvidia.com/compute/redist/nvshmem/3.2.5/source/nvshmem_src_${NVSHMEM_VERSION}.txz + tar -xvf nvshmem_src_${NVSHMEM_VERSION}.txz -C nvshmem_src --strip-components=1 + cd nvshmem_src + # using a specific commit to make the build deterministic: + # https://github.com/deepseek-ai/DeepEP/commit/bdd119f8b249953cab366f4d737ad39d4246fd7e + wget https://github.com/deepseek-ai/DeepEP/raw/bdd119f8b249953cab366f4d737ad39d4246fd7e/third-party/nvshmem.patch + git init + git apply -vvv nvshmem.patch + wget https://github.com/vllm-project/vllm/raw/releases/v0.10.0/tools/ep_kernels/elastic_ep/eep_nvshmem.patch + git apply --reject --whitespace=fix eep_nvshmem.patch + + # disable all features except IBGDA + export NVSHMEM_IBGDA_SUPPORT=1 + export NVSHMEM_SHMEM_SUPPORT=0 + export NVSHMEM_UCX_SUPPORT=0 + export NVSHMEM_USE_NCCL=0 + export NVSHMEM_PMIX_SUPPORT=0 + export NVSHMEM_TIMEOUT_DEVICE_POLLING=0 + export NVSHMEM_USE_GDRCOPY=0 + export NVSHMEM_IBRC_SUPPORT=0 + export NVSHMEM_BUILD_TESTS=0 + export NVSHMEM_BUILD_EXAMPLES=0 + export NVSHMEM_MPI_SUPPORT=0 + export NVSHMEM_BUILD_HYDRA_LAUNCHER=0 + export NVSHMEM_BUILD_TXZ_PACKAGE=0 + + cmake -G Ninja -S . -B "${EP_TEMP_DIR}/nvshmem_build" -DCMAKE_INSTALL_PREFIX="${EP_TEMP_DIR}/nvshmem_install" + cmake --build "${EP_TEMP_DIR}/nvshmem_build" --target install +) + +# Install PPLX Kernels +( + echo "Installing PPLX Kernels" + + cd "${EP_TEMP_DIR}" + + export CMAKE_PREFIX_PATH="${EP_TEMP_DIR}/nvshmem_install" + + # build and install pplx, require pytorch installed + git clone --depth 1 --no-checkout https://github.com/ppl-ai/pplx-kernels + cd pplx-kernels + # using a specific commit to make the build deterministic: + # https://github.com/ppl-ai/pplx-kernels/commit/1d76f488d794f01dc0e895cd746b235392379757 + git fetch --depth 1 origin 1d76f488d794f01dc0e895cd746b235392379757 + git checkout 1d76f488d794f01dc0e895cd746b235392379757 + # see https://github.com/pypa/pip/issues/9955#issuecomment-838065925 + # PIP_NO_BUILD_ISOLATION=0 disables build isolation + PIP_NO_BUILD_ISOLATION=0 TORCH_CUDA_ARCH_LIST=9.0a+PTX pip install . --no-deps -v +) + +rm -rf "${EP_TEMP_DIR}" + EOF ENV PATH="${UCX_HOME}/bin:${NIXL_HOME}/bin:${PATH}" From d0e166b3829c0b026d636ca7fbc13d30fe3e1ea0 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 30 Jul 2025 12:31:37 -0700 Subject: [PATCH 0408/1566] [core] Removing non factory raylet pool constructor (#55036) Removing the constructor that only takes in a client call manager in raylet as the factory function is easier to use for testing and makes integrating the retryable grpc easier. Refactoring all uses of the client call manager constructor to use a factory function instead. Also did a minor refactor to pass the rpc::address through the constructor instead of splitting it apart as port/ip_address and then passing those down. Think it looks cleaner, and created a utility function to generate the rpc address. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + src/ray/core_worker/core_worker_process.cc | 26 +++++++------ .../gcs_autoscaler_state_manager.cc | 10 ++--- src/ray/gcs/gcs_server/gcs_node_manager.cc | 19 ++++------ src/ray/gcs/gcs_server/gcs_server.cc | 37 +++++++++++-------- src/ray/raylet/main.cc | 12 +++--- src/ray/raylet/node_manager.cc | 8 ++-- src/ray/raylet/test/node_manager_test.cc | 4 +- src/ray/raylet_client/raylet_client.cc | 10 ++--- src/ray/raylet_client/raylet_client.h | 6 +-- .../rpc/node_manager/node_manager_client.h | 6 +-- .../rpc/node_manager/raylet_client_pool.cc | 11 ++++++ src/ray/rpc/node_manager/raylet_client_pool.h | 22 +++-------- src/ray/rpc/worker/core_worker_client_pool.cc | 9 ++--- 14 files changed, 89 insertions(+), 92 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 43a33ba73e43..70eae106b884 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -787,6 +787,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":local_object_manager_interface", + ":ray_fakes", ":ray_mock", ":raylet_lib", "//src/ray/util:macros", diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index afc14a02fcb4..8e95c201323e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -236,10 +236,11 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // connect to Raylet after a number of retries, this can be changed later // so that the worker (java/python .etc) can retrieve and handle the error // instead of crashing. + auto raylet_address = rpc::RayletClientPool::GenerateRayletAddress( + local_raylet_id, options.node_ip_address, options.node_manager_port); auto local_raylet_client = std::make_shared(std::move(raylet_conn), - options.raylet_ip_address, - options.node_manager_port, + std::move(raylet_address), *client_call_manager, worker_context->GetWorkerID()); auto core_worker_server = @@ -257,7 +258,6 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( RAY_CHECK(!local_raylet_id.IsNil()); rpc::Address rpc_address; rpc_address.set_ip_address(options.node_ip_address); - // NOTE: the port is currently 0 as the core_worker_server is not started yet. rpc_address.set_port(core_worker_server->GetPort()); rpc_address.set_raylet_id(local_raylet_id.Binary()); rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); @@ -275,7 +275,12 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( } } - auto raylet_client_pool = std::make_shared(*client_call_manager); + auto raylet_client_pool = + std::make_shared([this](const rpc::Address &addr) { + auto core_worker = GetCoreWorker(); + return std::make_shared( + addr, *core_worker->client_call_manager_); + }); std::shared_ptr core_worker_client_pool = std::make_shared([this](const rpc::Address &addr) { @@ -380,11 +385,9 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto core_worker = GetCoreWorker(); auto node_info = core_worker->gcs_client_->Nodes().Get(node_id); RAY_CHECK(node_info) << "No GCS info for node " << node_id; - ray::rpc::Address addr; - addr.set_ip_address(node_info->node_manager_address()); - addr.set_port(node_info->node_manager_port()); - addr.set_raylet_id(node_id.Binary()); - return core_worker->raylet_client_pool_->GetOrConnectByAddress(addr); + auto addr = rpc::RayletClientPool::GenerateRayletAddress( + node_id, node_info->node_manager_address(), node_info->node_manager_port()); + return core_worker->raylet_client_pool_->GetOrConnectByAddress(std::move(addr)); }; auto experimental_mutable_object_provider = @@ -772,8 +775,9 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { boost::asio::executor_work_guard work( io_service.get_executor()); rpc::ClientCallManager client_call_manager(io_service, /*record_stats=*/false); - raylet::RayletClient raylet_client( - options_.raylet_ip_address, options_.node_manager_port, client_call_manager); + rpc::Address raylet_address = rpc::RayletClientPool::GenerateRayletAddress( + NodeID::Nil(), options_.node_ip_address, options_.node_manager_port); + raylet::RayletClient raylet_client(raylet_address, client_call_manager); std::function get_once = [this, &get_once, diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 61351135ac3f..6a2176bfa784 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -477,12 +477,10 @@ void GcsAutoscalerStateManager::HandleDrainNode( gcs_actor_manager_.SetPreemptedAndPublish(node_id); auto node = std::move(maybe_node.value()); - rpc::Address raylet_address; - raylet_address.set_raylet_id(node->node_id()); - raylet_address.set_ip_address(node->node_manager_address()); - raylet_address.set_port(node->node_manager_port()); - - const auto raylet_client = raylet_client_pool_.GetOrConnectByAddress(raylet_address); + auto raylet_address = rpc::RayletClientPool::GenerateRayletAddress( + node_id, node->node_manager_address(), node->node_manager_port()); + const auto raylet_client = + raylet_client_pool_.GetOrConnectByAddress(std::move(raylet_address)); raylet_client->DrainRaylet( request.reason(), request.reason_message(), diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 3346115a545b..e6556066dabd 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -205,12 +205,10 @@ void GcsNodeManager::DrainNode(const NodeID &node_id) { auto node = maybe_node.value(); // Set the address. - rpc::Address remote_address; - remote_address.set_raylet_id(node->node_id()); - remote_address.set_ip_address(node->node_manager_address()); - remote_address.set_port(node->node_manager_port()); - - auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); + auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( + node_id, node->node_manager_address(), node->node_manager_port()); + auto raylet_client = + raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); RAY_CHECK(raylet_client); // NOTE(sang): Drain API is not supposed to kill the raylet, but we are doing // this until the proper "drain" behavior is implemented. @@ -467,11 +465,10 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { // With this, it means we only need to ask the node registered to do resubscription. // And for the node failed to register, they will crash on the client side due to // registeration failure. - rpc::Address remote_address; - remote_address.set_raylet_id(node_info.node_id()); - remote_address.set_ip_address(node_info.node_manager_address()); - remote_address.set_port(node_info.node_manager_port()); - auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); + auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( + node_id, node_info.node_manager_address(), node_info.node_manager_port()); + auto raylet_client = + raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); raylet_client->NotifyGCSRestart(nullptr); } else if (node_info.state() == rpc::GcsNodeInfo::DEAD) { dead_nodes_.emplace(node_id, std::make_shared(node_info)); diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 233ea07a7681..8455d1099d96 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -64,7 +64,11 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, /*record_stats=*/true, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), - raylet_client_pool_(std::make_unique(client_call_manager_)), + raylet_client_pool_( + std::make_unique([&](const rpc::Address &addr) { + return std::make_shared(addr, + client_call_manager_); + })), worker_client_pool_([this](const rpc::Address &addr) { return std::make_shared( addr, @@ -350,11 +354,12 @@ void GcsServer::InitGcsHealthCheckManager(const GcsInitData &gcs_init_data) { io_context_provider_.GetDefaultIOContext(), node_death_callback); for (const auto &item : gcs_init_data.Nodes()) { if (item.second.state() == rpc::GcsNodeInfo::ALIVE) { - rpc::Address remote_address; - remote_address.set_raylet_id(item.second.node_id()); - remote_address.set_ip_address(item.second.node_manager_address()); - remote_address.set_port(item.second.node_manager_port()); - auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); + auto remote_address = + rpc::RayletClientPool::GenerateRayletAddress(item.first, + item.second.node_manager_address(), + item.second.node_manager_port()); + auto raylet_client = + raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); gcs_healthcheck_manager_->AddNode(item.first, raylet_client->GetChannel()); } } @@ -384,11 +389,12 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { raylet_client = *conn_opt; } else { // When not connect, use GetOrConnectByAddress - rpc::Address remote_address; - remote_address.set_raylet_id(alive_node.second->node_id()); - remote_address.set_ip_address(alive_node.second->node_manager_address()); - remote_address.set_port(alive_node.second->node_manager_port()); - raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); + auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( + alive_node.first, + alive_node.second->node_manager_address(), + alive_node.second->node_manager_port()); + raylet_client = + raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); } if (raylet_client == nullptr) { RAY_LOG(ERROR) << "Failed to connect to node: " << alive_node.first @@ -749,12 +755,11 @@ void GcsServer::InstallEventListeners() { gcs_placement_group_manager_->OnNodeAdd(node_id); gcs_actor_manager_->SchedulePendingActors(); gcs_autoscaler_state_manager_->OnNodeAdd(*node); - rpc::Address address; - address.set_raylet_id(node->node_id()); - address.set_ip_address(node->node_manager_address()); - address.set_port(node->node_manager_port()); + auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( + node_id, node->node_manager_address(), node->node_manager_port()); - auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(address); + auto raylet_client = + raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); if (gcs_healthcheck_manager_) { RAY_CHECK(raylet_client != nullptr); diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 697bbb42eca6..3451b6e8d9e8 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -555,7 +555,9 @@ int main(int argc, char *argv[]) { }); raylet_client_pool = - std::make_unique(*client_call_manager); + std::make_unique([&](const ray::rpc::Address &addr) { + return std::make_shared(addr, *client_call_manager); + }); core_worker_subscriber = std::make_unique( raylet_node_id, @@ -771,11 +773,9 @@ int main(int argc, char *argv[]) { auto raylet_client_factory = [&](const NodeID &node_id) { const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); RAY_CHECK(node_info) << "No GCS info for node " << node_id; - ray::rpc::Address addr; - addr.set_ip_address(node_info->node_manager_address()); - addr.set_port(node_info->node_manager_port()); - addr.set_raylet_id(node_id.Binary()); - return raylet_client_pool->GetOrConnectByAddress(addr); + auto addr = ray::rpc::RayletClientPool::GenerateRayletAddress( + node_id, node_info->node_manager_address(), node_info->node_manager_port()); + return raylet_client_pool->GetOrConnectByAddress(std::move(addr)); }; plasma_client = std::make_unique(); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 0761bcdd9ca2..b1117d507705 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2639,11 +2639,9 @@ void NodeManager::HandleFormatGlobalMemoryInfo( // Fetch from remote nodes. for (const auto &[node_id, address] : remote_node_manager_addresses_) { - rpc::Address addr; - addr.set_ip_address(address.first); - addr.set_port(address.second); - addr.set_raylet_id(node_id.Binary()); - auto client = raylet_client_pool_.GetOrConnectByAddress(addr); + auto addr = rpc::RayletClientPool::GenerateRayletAddress( + node_id, address.first, address.second); + auto client = raylet_client_pool_.GetOrConnectByAddress(std::move(addr)); client->GetNodeStats( stats_req, [replies, store_reply](const ray::Status &status, rpc::GetNodeStatsReply &&r) { diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 349e752f7c16..7f2d8060cd99 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -21,6 +21,7 @@ #include #include +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "mock/ray/core_worker/experimental_mutable_object_provider.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" @@ -381,7 +382,8 @@ class NodeManagerTest : public ::testing::Test { worker_rpc_pool_([](const auto &) { return std::make_shared(); }), - raylet_client_pool_(client_call_manager_) { + raylet_client_pool_( + [](const auto &) { return std::make_shared(); }) { RayConfig::instance().initialize(R"({ "raylet_liveness_self_check_interval_ms": 100 })"); diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index f81b6134178e..be42875e1744 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -56,19 +56,17 @@ AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, namespace ray::raylet { -RayletClient::RayletClient(const std::string &address, - const int port, +RayletClient::RayletClient(const rpc::Address &address, rpc::ClientCallManager &client_call_manager) : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, port, client_call_manager))) {} + new rpc::NodeManagerClient(address, client_call_manager))) {} RayletClient::RayletClient(std::unique_ptr raylet_conn, - const std::string &address, - const int port, + const rpc::Address &address, rpc::ClientCallManager &client_call_manager, const WorkerID &worker_id) : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, port, client_call_manager))), + new rpc::NodeManagerClient(address, client_call_manager))), worker_id_(worker_id), conn_(std::move(raylet_conn)) {} diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index b8a5a229c0f3..0c1cbd0f39ff 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -243,8 +243,7 @@ class RayletClient : public RayletClientInterface { /// \param client_call_manager The client call manager to use for the grpc connection. /// \param worker_id The worker id of the worker. RayletClient(std::unique_ptr raylet_conn, - const std::string &address, - const int port, + const rpc::Address &address, rpc::ClientCallManager &client_call_manager, const WorkerID &worker_id); @@ -254,8 +253,7 @@ class RayletClient : public RayletClientInterface { /// \param port The port that the worker should listen on for gRPC requests. If /// 0, the worker should choose a random port. /// \param client_call_manager The client call manager to use for the grpc connection. - explicit RayletClient(const std::string &address, - const int port, + explicit RayletClient(const rpc::Address &address, rpc::ClientCallManager &client_call_manager); /// Notify the raylet that this client is disconnecting gracefully. This diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/rpc/node_manager/node_manager_client.h index deaf9fa0b139..885fa5ff0aad 100644 --- a/src/ray/rpc/node_manager/node_manager_client.h +++ b/src/ray/rpc/node_manager/node_manager_client.h @@ -48,11 +48,9 @@ class NodeManagerClient { /// \param[in] address Address of the node manager server. /// \param[in] port Port of the node manager server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - NodeManagerClient(const std::string &address, - const int port, - ClientCallManager &client_call_manager) + NodeManagerClient(const rpc::Address &address, ClientCallManager &client_call_manager) : grpc_client_{std::make_unique>( - address, port, client_call_manager)} {} + address.ip_address(), address.port(), client_call_manager)} {} std::shared_ptr Channel() const { return grpc_client_->Channel(); } diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc index a4428e67f831..53f231fd05ef 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -15,6 +15,7 @@ #include "ray/rpc/node_manager/raylet_client_pool.h" #include +#include namespace ray { namespace rpc { @@ -57,5 +58,15 @@ void RayletClientPool::Disconnect(ray::NodeID id) { client_map_.erase(it); } +rpc::Address RayletClientPool::GenerateRayletAddress(const NodeID &raylet_id, + const std::string &ip_address, + int port) { + rpc::Address address; + address.set_ip_address(ip_address); + address.set_port(port); + address.set_raylet_id(raylet_id.Binary()); + return address; +} + } // namespace rpc } // namespace ray diff --git a/src/ray/rpc/node_manager/raylet_client_pool.h b/src/ray/rpc/node_manager/raylet_client_pool.h index c37aebedf482..591a7a323a3c 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.h +++ b/src/ray/rpc/node_manager/raylet_client_pool.h @@ -15,6 +15,7 @@ #pragma once #include +#include #include #include "absl/base/thread_annotations.h" @@ -48,27 +49,14 @@ class RayletClientPool { /// be open until it's no longer used, at which time it will disconnect. void Disconnect(ray::NodeID id); - explicit RayletClientPool(rpc::ClientCallManager &client_call_manager) - : client_factory_(DefaultClientFactory(client_call_manager)){}; - - // For testing. explicit RayletClientPool(RayletClientFactoryFn client_factory) : client_factory_(std::move(client_factory)){}; - private: - /// Provides the default client factory function. Providing this function to the - /// construtor aids migration but is ultimately a thing that should be - /// deprecated and brought internal to the pool, so this is our bridge. - RayletClientFactoryFn DefaultClientFactory( - rpc::ClientCallManager &client_call_manager) const { - return [&](const rpc::Address &addr) { - std::shared_ptr raylet_client = - std::make_shared( - addr.ip_address(), addr.port(), client_call_manager); - return raylet_client; - }; - }; + static rpc::Address GenerateRayletAddress(const NodeID &node_id, + const std::string &ip_address, + int port); + private: absl::Mutex mu_; /// This factory function makes the connection to the NodeManagerService, and is diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index ff4a437914de..0b7d794e63cc 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -35,11 +35,10 @@ std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback worker_client_pool, worker_id, node_id](const rpc::GcsNodeInfo &node_info) { - rpc::Address raylet_addr; - raylet_addr.set_ip_address(node_info.node_manager_address()); - raylet_addr.set_port(node_info.node_manager_port()); - raylet_addr.set_raylet_id(node_id.Binary()); - auto raylet_client = raylet_client_pool->GetOrConnectByAddress(raylet_addr); + auto raylet_addr = RayletClientPool::GenerateRayletAddress( + node_id, node_info.node_manager_address(), node_info.node_manager_port()); + auto raylet_client = + raylet_client_pool->GetOrConnectByAddress(std::move(raylet_addr)); raylet_client->IsLocalWorkerDead( worker_id, [worker_client_pool, worker_id, node_id](const Status &status, From bc46074b4af4270a2f103b6fabdf5d21991733c4 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 30 Jul 2025 12:44:09 -0700 Subject: [PATCH 0409/1566] [core] Fixing windows build error (#55053) Introduced a windows build error in https://github.com/ray-project/ray/pull/54759 since experimental_mutable_object_provider is not defined for windows. Updating the initialization of the experimental_mutable_object_provider pointer to be outside of the guards for linux/apple. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_process.cc | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 8e95c201323e..2121290203fd 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -380,6 +380,9 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( "CoreWorker.HandleException"); }); + std::shared_ptr + experimental_mutable_object_provider; + #if defined(__APPLE__) || defined(__linux__) auto raylet_channel_client_factory = [this](const NodeID &node_id) { auto core_worker = GetCoreWorker(); @@ -390,7 +393,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( return core_worker->raylet_client_pool_->GetOrConnectByAddress(std::move(addr)); }; - auto experimental_mutable_object_provider = + experimental_mutable_object_provider = std::make_shared( *plasma_store_provider->store_client(), raylet_channel_client_factory, From 42eb00657ac26e20a514129f23f82f8cb6cda99f Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 30 Jul 2025 13:10:45 -0700 Subject: [PATCH 0410/1566] [core] improve the error message for loading dashboard dependencies (#55015) Currently, if any of [these dependency checks fail](https://github.com/anyscale/rayturbo/blob/25510577879fe22d68b80206c02828006a19255f/python/ray/_private/utils.py#L1035), the specific dependency exception is hidden, and the user instead sees this error in the log: ``` --include-dashboard is not supported when minimal ray is used. " "Download ray[default] to use the dashboard. ``` We have folks reporting this issue (CI-1220). This PR exposes the real error message to the users. Example of new error message: ``` Ray dashboard dependencies failed to install properly: cannot import name 'OTEL_PYTHON_EXPERIMENTAL_DISABLE_PROMETHEUS_UNIT_NORMALIZATION' from 'opentelemetry.sdk.environment_variables' (/opt/homebrew/lib/python3.11/site-packages/opentelemetry/sdk/environment_variables/__init__.py). Potential causes include: 1. --include-dashboard is not supported when minimal ray is used. Download ray[default] to use the dashboard. 2. Dashboard dependencies are conflicting with your python environment. Investigate your python environment and try reinstalling ray[default]. ``` Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/_private/parameter.py | 4 +-- python/ray/_private/services.py | 18 +++++++------ python/ray/_private/utils.py | 25 +++++++++---------- python/ray/client_builder.py | 4 +-- .../modules/usage_stats/usage_stats_head.py | 2 +- python/ray/dashboard/utils.py | 4 +-- python/ray/scripts/scripts.py | 4 +-- 7 files changed, 32 insertions(+), 29 deletions(-) diff --git a/python/ray/_private/parameter.py b/python/ray/_private/parameter.py index 0534ea2e34ff..7f415c391b0d 100644 --- a/python/ray/_private/parameter.py +++ b/python/ray/_private/parameter.py @@ -4,7 +4,7 @@ import ray._private.ray_constants as ray_constants from ray._private.resource_isolation_config import ResourceIsolationConfig -from ray._private.utils import check_ray_client_dependencies_installed +from ray._private.utils import get_ray_client_dependency_error logger = logging.getLogger(__name__) @@ -391,7 +391,7 @@ def _check_usage(self): "max_worker_port must be higher than min_worker_port." ) if self.ray_client_server_port is not None: - if not check_ray_client_dependencies_installed(): + if get_ray_client_dependency_error() is not None: raise ValueError( "Ray Client requires pip package `ray[client]`. " "If you installed the minimal Ray (e.g. `pip install ray`), " diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index e6aa1975bbc1..9256b7061e3d 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1242,14 +1242,18 @@ def start_api_server( else: raise e # Make sure the process can start. - minimal: bool = not ray._private.utils.check_dashboard_dependencies_installed() + dashboard_dependency_error = ray._private.utils.get_dashboard_dependency_error() # Explicitly check here that when the user explicitly specifies # dashboard inclusion, the install is not minimal. - if include_dashboard and minimal: + if include_dashboard and dashboard_dependency_error: logger.error( - "--include-dashboard is not supported when minimal ray is used. " - "Download ray[default] to use the dashboard." + f"Ray dashboard dependencies failed to install properly: {dashboard_dependency_error}.\n" + "Potential causes include:\n" + "1. --include-dashboard is not supported when minimal ray is used. " + "Download ray[default] to use the dashboard.\n" + "2. Dashboard dependencies are conflicting with your python environment. " + "Investigate your python environment and try reinstalling ray[default].\n" ) raise Exception("Cannot include dashboard with missing packages.") @@ -1293,7 +1297,7 @@ def start_api_server( component=ray_constants.PROCESS_TYPE_DASHBOARD ) command.append(f"--logging-format={logging_format}") - if minimal: + if dashboard_dependency_error is not None: command.append("--minimal") if not include_dash: @@ -1407,7 +1411,7 @@ def read_log(filename, lines_to_read): # Is it reachable? raise Exception("Failed to start a dashboard.") - if minimal or not include_dash: + if dashboard_dependency_error is not None or not include_dash: # If it is the minimal installation, the web url (dashboard url) # shouldn't be configured because it doesn't start a server. dashboard_url = "" @@ -1820,7 +1824,7 @@ def start_raylet( ) dashboard_agent_command.append(f"--logging-format={logging_format}") - if not ray._private.utils.check_dashboard_dependencies_installed(): + if ray._private.utils.get_dashboard_dependency_error() is not None: # If dependencies are not installed, it is the minimally packaged # ray. We should restrict the features within dashboard agent # that requires additional dependencies to be downloaded. diff --git a/python/ray/_private/utils.py b/python/ray/_private/utils.py index b838b4cdc09c..5121d43d6d08 100644 --- a/python/ray/_private/utils.py +++ b/python/ray/_private/utils.py @@ -1022,34 +1022,33 @@ def init_grpc_channel( return channel -def check_dashboard_dependencies_installed() -> bool: - """Returns True if Ray Dashboard dependencies are installed. +def get_dashboard_dependency_error() -> Optional[ImportError]: + """Returns the exception error if Ray Dashboard dependencies are not installed. + None if they are installed. Checks to see if we should start the dashboard agent or not based on the Ray installation version the user has installed (ray vs. ray[default]). Unfortunately there doesn't seem to be a cleaner way to detect this other than just blindly importing the relevant packages. - """ try: import ray.dashboard.optional_deps # noqa: F401 - return True - except ImportError: - return False - + return None + except ImportError as e: + return e -def check_ray_client_dependencies_installed() -> bool: - """Returns True if Ray Client dependencies are installed. - See documents for check_dashboard_dependencies_installed. +def get_ray_client_dependency_error() -> Optional[ImportError]: + """Returns the exception error if Ray Client dependencies are not installed. + None if they are installed. """ try: import grpc # noqa: F401 - return True - except ImportError: - return False + return None + except ImportError as e: + return e connect_error = ( diff --git a/python/ray/client_builder.py b/python/ray/client_builder.py index 28784d1399ea..714a941699c3 100644 --- a/python/ray/client_builder.py +++ b/python/ray/client_builder.py @@ -14,7 +14,7 @@ RAY_NAMESPACE_ENVIRONMENT_VARIABLE, RAY_RUNTIME_ENV_ENVIRONMENT_VARIABLE, ) -from ray._private.utils import check_ray_client_dependencies_installed, split_address +from ray._private.utils import get_ray_client_dependency_error, split_address from ray._private.worker import BaseContext from ray._private.worker import init as ray_driver_init from ray.job_config import JobConfig @@ -95,7 +95,7 @@ class ClientBuilder: """ def __init__(self, address: Optional[str]) -> None: - if not check_ray_client_dependencies_installed(): + if get_ray_client_dependency_error() is not None: raise ValueError( "Ray Client requires pip package `ray[client]`. " "If you installed the minimal Ray (e.g. `pip install ray`), " diff --git a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py index f4974fdff122..5b5fea0cb8c5 100644 --- a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py +++ b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py @@ -35,7 +35,7 @@ def __init__(self, config: dashboard_utils.DashboardHeadModuleConfig): self._grafana_ran_before = False self._prometheus_ran_before = False - if ray._private.utils.check_dashboard_dependencies_installed(): + if ray._private.utils.get_dashboard_dependency_error() is None: import aiohttp import ray.dashboard.optional_utils diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index b0bf438d1a49..be153978bbcc 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -29,7 +29,7 @@ from ray._common.utils import get_or_create_event_loop from ray._private.gcs_utils import GcsChannel from ray._private.utils import ( - check_dashboard_dependencies_installed, + get_dashboard_dependency_error, split_address, ) from ray._raylet import GcsClient @@ -304,7 +304,7 @@ def get_all_modules(module_type): logger.info(f"Get all modules by type: {module_type.__name__}") import ray.dashboard.modules - should_only_load_minimal_modules = not check_dashboard_dependencies_installed() + should_only_load_minimal_modules = get_dashboard_dependency_error() is not None for module_loader, name, ispkg in pkgutil.walk_packages( ray.dashboard.modules.__path__, ray.dashboard.modules.__name__ + "." diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 883ab85f03c7..34d82130564e 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -32,7 +32,7 @@ parse_node_labels_string, ) from ray._private.utils import ( - check_ray_client_dependencies_installed, + get_ray_client_dependency_error, parse_resources_json, ) from ray._private.internal_api import memory_summary @@ -788,7 +788,7 @@ def start( # no port, has client -> default to 10001 # has port, no client -> value error # has port, has client -> ok, check port validity - has_ray_client = check_ray_client_dependencies_installed() + has_ray_client = get_ray_client_dependency_error() is None if has_ray_client and ray_client_server_port is None: ray_client_server_port = 10001 From 1d026ce4f7df8bd133b7d22b3e458f4c6d2b8818 Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Wed, 30 Jul 2025 13:43:18 -0700 Subject: [PATCH 0411/1566] Fix LLM Streaming Kuberay cluster mem (#55029) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Failures are observed during chaos testing llm_streaming. this change fixes the failures. Assuming these tests are going to run on `m6i.xlarge`, we update the following config parameters: Before: No memory limits → pods get tiny default allocation (~1GB) After: Each Ray pod (head + 2 workers) gets 4GB guaranteed memory Total reservation: 3 pods × 4GB = 12GB out of 16GB available on `m6i.xlarge` --------- Signed-off-by: omkar Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/tests/chaos/prepare_env.sh | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/chaos/prepare_env.sh b/python/ray/tests/chaos/prepare_env.sh index 59f6fa9f19d3..a5d339825da8 100755 --- a/python/ray/tests/chaos/prepare_env.sh +++ b/python/ray/tests/chaos/prepare_env.sh @@ -28,7 +28,11 @@ helm install raycluster kuberay/ray-cluster \ --set worker.resources.limits.cpu=500m \ --set worker.resources.requests.cpu=500m \ --set head.resources.limits.cpu=500m \ - --set head.resources.requests.cpu=500m + --set head.resources.requests.cpu=500m \ + --set worker.resources.limits.memory=4Gi \ + --set worker.resources.requests.memory=4Gi \ + --set head.resources.limits.memory=4Gi \ + --set head.resources.requests.memory=4Gi kubectl wait pod -l ray.io/cluster=raycluster-kuberay \ --for=condition=Ready=True --timeout=5m From 3c906efc924b7c7c74390fdc81a48d3ce8f026b5 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 14:01:45 -0700 Subject: [PATCH 0412/1566] [release test] fix broken release test configs (#55061) introduced by rllib release teste changes also run ci tools tests when release test configs are changed. this makes sure that release test configs are sanity checked on CI tests. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/pipeline/test_conditional_testing.py | 1 + ci/pipeline/test_rules.txt | 5 +---- release/release_tests.yaml | 4 ++-- 3 files changed, 4 insertions(+), 6 deletions(-) diff --git a/ci/pipeline/test_conditional_testing.py b/ci/pipeline/test_conditional_testing.py index dc7a3335e597..0e8dd6ba8420 100644 --- a/ci/pipeline/test_conditional_testing.py +++ b/ci/pipeline/test_conditional_testing.py @@ -61,6 +61,7 @@ ci/docker/doctest.build.Dockerfile: lint release/requirements.txt: lint release_tests release/requirements_buildkite.txt: lint tools +release/release_tests.yaml: lint tools ci/lint/lint.sh: lint tools .buildkite/lint.rayci.yml: lint tools .buildkite/macos.rayci.yml: lint macos_wheels diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index ed29050670df..e13a83b25e12 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -146,12 +146,9 @@ ci/docker/doctest.build.wanda.yaml release/ray_release/ release/requirements_buildkite.* -@ tools -; - release/*.md release/*.yaml -# Do not run on config changes +@ tools ; release/ diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 9380618cd76a..f838a8313338 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2664,7 +2664,7 @@ runtime_env: - RLLIB_TEST_NO_JAX_IMPORT=1 - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 4gpu_64cpus.yaml + cluster_compute: 4gpus_64cpus.yaml run: timeout: 36000 # 10h @@ -2678,7 +2678,7 @@ env: gce frequency: manual cluster: - cluster_compute: 4gpu_64cpus_gce.yaml + cluster_compute: 4gpus_64cpus_gce.yaml # -------------------------- # IMPALA From 0057288e3cf3156f142c8f9e809a7e6d7ca21f4c Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 30 Jul 2025 14:23:46 -0700 Subject: [PATCH 0413/1566] [core][raycheck/01] Fix "it != submissible_tasks_.end()" (#54798) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Problems This PR fixes the `RAY_CHECK failure: it != submissible_tasks_.end() Tried to retry task that was not pending`. This failure occurs when a task cancellation ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L702)) races with the callback from PushNormalTask ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L546)). Currently, there's a map called `executing_tasks_` that is intended to prevent this race, but it fails to do so. The crash happens via the following sequence: - The `PushNormalTask` callback removes the task ID from `executing_tasks_` ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L583)). - This causes the task cancellation to enter the following condition ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L750)), which eventually invokes `TaskManager::FailPendingTask` ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L753)). - `TaskManager` always removes the task from the `submissible_tasks_ `map when it ends a pending task’s lifecycle (via `FailPendingTask` and others). - After that, the `PushNormalTask` callback invokes `HandleGetTaskFailureCause` ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L605)), which attempts to retrieve the task’s failure cause. This function asks `TaskManager` to retry the task ([source](https://github.com/ray-project/ray/blob/master/src/ray/core_worker/transport/normal_task_submitter.cc#L694)), but it fails because the task has already been removed from the `submissible_tasks_` map. ## Solutions This PR introduces a `failed_tasks_pending_failure_cause_` map to track tasks that have finished execution but is still pending failure resolution. It ensures that if **cancellation occurs during this period, cancellation will defer the failure resolution to current failure resolution process**. It also: - Allow `FailPendingTask` to be called multiple times during the window between task cancellation and normal task lifecycle completion. Regardless of who calls it, the CANCELLATION failure reason takes precedence. - Introduce `MarkTaskNoRetry` to distinguish between genuine and synthetic cancellations, and update all relevant call sites accordingly. For example, the `ActorTaskSubmitter::SubmitActorCreationTask` is using `MarkTaskCancellation` to handle death reasons while it just means to reset the number of retries to 0. ## Test - CI - A test that crashes without this fix and passes with this fix - Also update normal_task_submitter_test to represent its real implementation Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor_cancel.py | 7 +- python/ray/tests/test_exit_observability.py | 2 +- .../ray/tests/test_streaming_generator_3.py | 6 +- .../ray/core_worker/task_manager_interface.h | 1 + src/ray/core_worker/task_manager.cc | 35 ++++++++-- src/ray/core_worker/task_manager.h | 7 ++ src/ray/core_worker/task_manager_interface.h | 13 +++- .../test/dependency_resolver_test.cc | 2 + .../test/normal_task_submitter_test.cc | 51 ++++++++++++++- src/ray/core_worker/test/task_manager_test.cc | 19 ++++++ .../transport/actor_task_submitter.cc | 6 +- .../transport/normal_task_submitter.cc | 64 +++++++++++++------ .../transport/normal_task_submitter.h | 7 +- 13 files changed, 179 insertions(+), 41 deletions(-) diff --git a/python/ray/tests/test_actor_cancel.py b/python/ray/tests/test_actor_cancel.py index 62f1221f219e..7f7042a039f2 100644 --- a/python/ray/tests/test_actor_cancel.py +++ b/python/ray/tests/test_actor_cancel.py @@ -228,16 +228,15 @@ async def f(self): cluster.remove_node(node) r, ur = ray.wait([ref]) # When cancel is called, the task won't be retried anymore. - # Since an actor is dead, in this case, it will raise - # RayActorError. - with pytest.raises(ray.exceptions.RayActorError): + # It will raise TaskCancelledError. + with pytest.raises(ray.exceptions.TaskCancelledError): ray.get(ref) # This will restart actor, but task won't be retried. cluster.add_node(num_cpus=1) # Verify actor is restarted. f should be retried ray.get(a.__ray_ready__.remote()) - with pytest.raises(ray.exceptions.RayActorError): + with pytest.raises(ray.exceptions.TaskCancelledError): ray.get(ref) diff --git a/python/ray/tests/test_exit_observability.py b/python/ray/tests/test_exit_observability.py index 910f61843f94..715b8b9ed2f3 100644 --- a/python/ray/tests/test_exit_observability.py +++ b/python/ray/tests/test_exit_observability.py @@ -233,7 +233,7 @@ def verify_exit_by_ray_cancel(): assert type == "INTENDED_USER_EXIT" and "ray.cancel" in detail return verify_failed_task( name="cancel-f", - error_type="WORKER_DIED", # Since it's a force cancel through kill signal. + error_type="TASK_CANCELLED", ) wait_for_condition(verify_exit_by_ray_cancel) diff --git a/python/ray/tests/test_streaming_generator_3.py b/python/ray/tests/test_streaming_generator_3.py index e182dacb4c9c..c16d03c0b9c3 100644 --- a/python/ray/tests/test_streaming_generator_3.py +++ b/python/ray/tests/test_streaming_generator_3.py @@ -8,7 +8,7 @@ import ray from ray._raylet import ObjectRefGenerator -from ray.exceptions import WorkerCrashedError +from ray.exceptions import TaskCancelledError def test_threaded_actor_generator(shutdown_only): @@ -290,9 +290,9 @@ def f(): # The last exception is not taken yet. assert gen.next_ready() assert not gen.is_finished() - with pytest.raises(WorkerCrashedError): + with pytest.raises(TaskCancelledError): ray.get(gen.completed()) - with pytest.raises(WorkerCrashedError): + with pytest.raises(TaskCancelledError): ray.get(next(gen)) assert not gen.next_ready() assert gen.is_finished() diff --git a/src/mock/ray/core_worker/task_manager_interface.h b/src/mock/ray/core_worker/task_manager_interface.h index cb99c274b830..c372b66b64d7 100644 --- a/src/mock/ray/core_worker/task_manager_interface.h +++ b/src/mock/ray/core_worker/task_manager_interface.h @@ -61,6 +61,7 @@ class MockTaskManagerInterface : public TaskManagerInterface { const std::vector &contained_ids), (override)); MOCK_METHOD(void, MarkTaskCanceled, (const TaskID &task_id), (override)); + MOCK_METHOD(void, MarkTaskNoRetry, (const TaskID &task_id), (override)); MOCK_METHOD(std::optional, GetTaskSpec, (const TaskID &task_id), diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 5e997f0f537b..d8fe1180fd94 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -1159,11 +1159,27 @@ void TaskManager::FailPendingTask(const TaskID &task_id, { absl::MutexLock lock(&mu_); auto it = submissible_tasks_.find(task_id); - RAY_CHECK(it != submissible_tasks_.end()) - << "Tried to fail task that was not pending " << task_id; + if (it == submissible_tasks_.end()) { + // Failing a pending task can happen through the normal task lifecycle or task + // cancellation. Since task cancellation runs concurrently with the normal task + // lifecycle, we do expect this state. It is safe to assume the task + // has been failed correctly by either the normal task lifecycle or task + // cancellation, and we can skip failing it again. + RAY_LOG(INFO).WithField("task_id", task_id) + << "Task is no longer in the submissible tasks map. It has either completed or " + "been cancelled. Skip failing"; + return; + } RAY_CHECK(it->second.IsPending()) << "Tried to fail task that was not pending " << task_id; spec = it->second.spec; + if (it->second.is_canceled && error_type != rpc::ErrorType::TASK_CANCELLED) { + // If the task is marked as cancelled before reaching FailPendingTask (which is + // essentially the final state of the task lifecycle), that failure reason takes + // precedence. + error_type = rpc::ErrorType::TASK_CANCELLED; + ray_error_info = nullptr; + } if ((status != nullptr) && status->IsIntentionalSystemExit()) { // We don't mark intentional system exit as failures, such as tasks that @@ -1361,8 +1377,7 @@ int64_t TaskManager::RemoveLineageReference(const ObjectID &object_id, return total_lineage_footprint_bytes_ - total_lineage_footprint_bytes_prev; } -void TaskManager::MarkTaskCanceled(const TaskID &task_id) { - // Mark the task for cancelation. This will prevent the task from being retried. +void TaskManager::MarkTaskNoRetryInternal(const TaskID &task_id, bool canceled) { ObjectID generator_id = TaskGeneratorId(task_id); if (!generator_id.IsNil()) { // Pass -1 because the task has been canceled, so we should just end the @@ -1378,10 +1393,20 @@ void TaskManager::MarkTaskCanceled(const TaskID &task_id) { if (it != submissible_tasks_.end()) { it->second.num_retries_left = 0; it->second.num_oom_retries_left = 0; - it->second.is_canceled = true; + if (canceled) { + it->second.is_canceled = true; + } } } +void TaskManager::MarkTaskCanceled(const TaskID &task_id) { + MarkTaskNoRetryInternal(task_id, /*canceled=*/true); +} + +void TaskManager::MarkTaskNoRetry(const TaskID &task_id) { + MarkTaskNoRetryInternal(task_id, /*canceled=*/false); +} + absl::flat_hash_set TaskManager::GetTaskReturnObjectsToStoreInPlasma( const TaskID &task_id, bool *first_execution_out) const { bool first_execution = false; diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 54503b3f53a3..8a8cee362b52 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -430,6 +430,8 @@ class TaskManager : public TaskManagerInterface { void OnTaskDependenciesInlined(const std::vector &inlined_dependency_ids, const std::vector &contained_ids) override; + void MarkTaskNoRetry(const TaskID &task_id) override; + void MarkTaskCanceled(const TaskID &task_id) override; std::optional GetTaskSpec(const TaskID &task_id) const override; @@ -596,6 +598,11 @@ class TaskManager : public TaskManagerInterface { bool is_retry_ = false; }; + /// Set the task retry number to 0. If canceled is true, mark the task as + // canceled. + void MarkTaskNoRetryInternal(const TaskID &task_id, bool canceled) + ABSL_LOCKS_EXCLUDED(mu_); + /// Update nested ref count info and store the in-memory value for a task's /// return object. Returns true if the task's return object was returned /// directly by value. diff --git a/src/ray/core_worker/task_manager_interface.h b/src/ray/core_worker/task_manager_interface.h index efce8611c999..1ea70a4829c1 100644 --- a/src/ray/core_worker/task_manager_interface.h +++ b/src/ray/core_worker/task_manager_interface.h @@ -151,7 +151,18 @@ class TaskManagerInterface { /// \param[in] task_id The task that is now scheduled. virtual void MarkDependenciesResolved(const TaskID &task_id) = 0; - /// Set the task state to be canceled. Set the number of retries to zero. + /// Sets the task state to no-retry. This is used when Ray overrides the user-specified + /// retry count for a task (e.g., a task belonging to a dead actor). + /// Unlike `MarkTaskCanceled`, this does not mark the task as canceled—`ray.get()` will + /// raise the specific error that caused the retry override (e.g., ACTOR_ERROR). + /// + /// \param[in] task_id to set no retry. + virtual void MarkTaskNoRetry(const TaskID &task_id) = 0; + + /// Marks the task as canceled and sets its retry count to zero. This function + /// should only be used for task cancellation. Unlike `MarkTaskNoRetry`, a + /// canceled task is not retriable and `ray.get()` will raise a + /// `TASK_CANCELLED` error. /// /// \param[in] task_id to cancel. virtual void MarkTaskCanceled(const TaskID &task_id) = 0; diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index eaf6af1fc6c3..24f8f519a0cf 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -112,6 +112,8 @@ class MockTaskManager : public MockTaskManagerInterface { void MarkTaskCanceled(const TaskID &task_id) override {} + void MarkTaskNoRetry(const TaskID &task_id) override {} + std::optional GetTaskSpec(const TaskID &task_id) const override { TaskSpecification task = BuildEmptyTaskSpec(); return task; diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index 8752111cbd4d..fffae16752bc 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -146,10 +146,13 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { }; class MockTaskManager : public MockTaskManagerInterface { + // TODO(ray-core): Consider adding an integration test between TaskManager and + // NormalTaskSubmitter, due to the complexity of the interaction between the two. + // https://github.com/ray-project/ray/issues/54922 public: MockTaskManager() {} - void CompletePendingTask(const TaskID &, + void CompletePendingTask(const TaskID &task_id, const rpc::PushTaskReply &, const rpc::Address &actor_addr, bool is_application_error) override { @@ -177,6 +180,10 @@ class MockTaskManager : public MockTaskManagerInterface { bool mark_task_object_failed = true, bool fail_immediately = false) override { num_tasks_failed++; + if (!fail_immediately) { + RetryTaskIfPossible(task_id, + ray_error_info ? *ray_error_info : rpc::RayErrorInfo()); + } return true; } @@ -188,6 +195,8 @@ class MockTaskManager : public MockTaskManagerInterface { void MarkTaskCanceled(const TaskID &task_id) override {} + void MarkTaskNoRetry(const TaskID &task_id) override {} + std::optional GetTaskSpec(const TaskID &task_id) const override { TaskSpecification task = BuildEmptyTaskSpec(); return task; @@ -238,11 +247,21 @@ class MockRayletClient : public FakeRayletClient { const ray::rpc::ClientCallback &callback) override { std::lock_guard lock(mu_); - ray::rpc::GetTaskFailureCauseReply reply; - callback(Status::OK(), std::move(reply)); + get_task_failure_cause_callbacks.push_back(callback); num_get_task_failure_causes += 1; } + bool ReplyGetTaskFailureCause() { + if (get_task_failure_cause_callbacks.size() == 0) { + return false; + } + auto callback = std::move(get_task_failure_cause_callbacks.front()); + get_task_failure_cause_callbacks.pop_front(); + rpc::GetTaskFailureCauseReply reply; + callback(Status::OK(), std::move(reply)); + return true; + } + void ReportWorkerBacklog( const WorkerID &worker_id, const std::vector &backlog_reports) override { @@ -632,6 +651,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate a system failure, i.e., worker died unexpectedly. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); + ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -646,6 +666,28 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { ASSERT_TRUE(submitter.CheckNoSchedulingKeyEntriesPublic()); } +TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { + // This test is a regression test for a bug where a crash happens when + // the task cancellation races between ReplyPushTask and ReplyGetTaskFailureCause. + // For an example of a python integration test, see + // https://github.com/ray-project/ray/blob/2b6807f4d9c4572e6309f57bc404aa641bc4b185/python/ray/tests/test_cancel.py#L35 + auto submitter = + CreateNormalTaskSubmitter(std::make_shared(1)); + + TaskSpecification task = BuildEmptyTaskSpec(); + ASSERT_TRUE(submitter.SubmitTask(task).ok()); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + // Simulate a system failure, i.e., worker died unexpectedly so that + // GetTaskFailureCause is called. + ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); + // Cancel the task while GetTaskFailureCause has not been completed. + ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); + // Completing the GetTaskFailureCause call. Check that the reply runs without error + // and FailPendingTask is not called. + ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_EQ(task_manager->num_fail_pending_task_calls, 0); +} + TEST_F(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { auto submitter = CreateNormalTaskSubmitter(std::make_shared(2)); @@ -1227,6 +1269,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { // Task 1 finishes with failure; the worker is returned. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("worker dead"))); + ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -1647,6 +1690,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { // Task 1 finishes with failure; the worker is returned due to the error even though // it hasn't timed out. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("worker dead"))); + ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -1686,6 +1730,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); ASSERT_EQ(worker_client->kill_requests.front().intended_task_id(), task.TaskIdBinary()); ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("workerdying"), true)); + ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_returned_exiting, 0); diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index f6a0b3824458..50e74b94e4d2 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -367,6 +367,25 @@ TEST_F(TaskManagerTest, TestFailPendingTask) { ASSERT_EQ(reference_counter_->NumObjectIDsInScope(), 0); } +TEST_F(TaskManagerTest, TestFailPendingTaskAfterCancellation) { + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + manager_.AddPendingTask(caller_address, spec, ""); + ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); + manager_.MarkTaskCanceled(spec.TaskId()); + manager_.FailPendingTask(spec.TaskId(), rpc::ErrorType::LOCAL_RAYLET_DIED); + ASSERT_FALSE(manager_.IsTaskPending(spec.TaskId())); + + // Check that the error type is set to TASK_CANCELLED + std::vector> results; + WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(0)); + RAY_CHECK_OK(store_->Get({spec.ReturnId(0)}, 1, 0, ctx, false, &results)); + ASSERT_EQ(results.size(), 1); + rpc::ErrorType stored_error; + ASSERT_TRUE(results[0]->IsException(&stored_error)); + ASSERT_EQ(stored_error, rpc::ErrorType::TASK_CANCELLED); +} + TEST_F(TaskManagerTest, TestTaskReconstruction) { rpc::Address caller_address; ObjectID dep1 = ObjectID::FromRandom(); diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index e71778bfd982..3c1d88d5704a 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -144,7 +144,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) if (status.IsSchedulingCancelled()) { RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Actor creation cancelled"; - task_manager_.MarkTaskCanceled(task_id); + task_manager_.MarkTaskNoRetry(task_id); if (reply.has_death_cause()) { ray_error_info.mutable_actor_died_error()->CopyFrom(reply.death_cause()); } @@ -233,7 +233,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { "ActorTaskSubmitter::SubmitTask"); } else { // Do not hold the lock while calling into task_manager_. - task_manager_.MarkTaskCanceled(task_id); + task_manager_.MarkTaskNoRetry(task_id); rpc::ErrorType error_type; rpc::RayErrorInfo error_info; { @@ -441,7 +441,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, for (auto &task_id : task_ids_to_fail) { // No need to increment the number of completed tasks since the actor is // dead. - task_manager_.MarkTaskCanceled(task_id); + task_manager_.MarkTaskNoRetry(task_id); // This task may have been waiting for dependency resolution, so cancel // this first. resolver_.CancelDependencyResolution(task_id); diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 923d07b64eb1..92c15e9bd9ae 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -36,17 +36,25 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { // outside of this closure). task_manager_.MarkDependenciesResolved(task_spec.TaskId()); if (!status.ok()) { + // TODO(https://github.com/ray-project/ray/issues/54871): There is a potential + // logical race conditions here where the task is cancelled right before the + // task is retried. Task cancellation might remove the task from the submissible + // task queue, while the task retry here expects that the task must be in the + // submissible task queue. RAY_LOG(WARNING) << "Resolving task dependencies failed " << status.ToString(); - RAY_UNUSED(task_manager_.FailOrRetryPendingTask( - task_spec.TaskId(), rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status)); + bool will_retry = task_manager_.FailOrRetryPendingTask( + task_spec.TaskId(), rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); + if (!will_retry) { + absl::MutexLock lock(&mu_); + cancelled_tasks_.erase(task_spec.TaskId()); + } return; } RAY_LOG(DEBUG) << "Task dependencies resolved " << task_spec.TaskId(); absl::MutexLock lock(&mu_); - auto task_iter = cancelled_tasks_.find(task_spec.TaskId()); - if (task_iter != cancelled_tasks_.end()) { - cancelled_tasks_.erase(task_iter); + if (cancelled_tasks_.erase(task_spec.TaskId()) > 0) { + task_manager_.FailPendingTask(task_spec.TaskId(), rpc::ErrorType::TASK_CANCELLED); return; } @@ -594,16 +602,27 @@ void NormalTaskSubmitter::PushNormalTask( scheduling_key_entry.num_busy_workers--; if (!status.ok()) { + failed_tasks_pending_failure_cause_.insert(task_id); RAY_LOG(DEBUG) << "Getting error from raylet for task " << task_id; const ray::rpc::ClientCallback callback = [this, status, task_id, addr]( const Status &get_task_failure_cause_reply_status, const rpc::GetTaskFailureCauseReply &get_task_failure_cause_reply) { - HandleGetTaskFailureCause(status, - task_id, - addr, - get_task_failure_cause_reply_status, - get_task_failure_cause_reply); + bool will_retry = + HandleGetTaskFailureCause(status, + task_id, + addr, + get_task_failure_cause_reply_status, + get_task_failure_cause_reply); + absl::MutexLock lock(&mu_); + if (!will_retry) { + // Task submission and task cancellation are the only two other code + // paths that clean up the cancelled_tasks_ map. If the task is not + // retried (aka. it will not go through the task submission path), + // we need to remove it from the map here. + cancelled_tasks_.erase(task_id); + } + failed_tasks_pending_failure_cause_.erase(task_id); }; auto &cur_lease_entry = worker_to_lease_entry_[addr]; RAY_CHECK(cur_lease_entry.lease_client); @@ -645,7 +664,7 @@ void NormalTaskSubmitter::PushNormalTask( }); } -void NormalTaskSubmitter::HandleGetTaskFailureCause( +bool NormalTaskSubmitter::HandleGetTaskFailureCause( const Status &task_execution_status, const TaskID &task_id, const rpc::Address &addr, @@ -688,12 +707,12 @@ void NormalTaskSubmitter::HandleGetTaskFailureCause( error_info->set_error_message(buffer.str()); error_info->set_error_type(rpc::ErrorType::NODE_DIED); } - RAY_UNUSED(task_manager_.FailOrRetryPendingTask(task_id, - task_error_type, - &task_execution_status, - error_info.get(), - /*mark_task_object_failed*/ true, - fail_immediately)); + return task_manager_.FailOrRetryPendingTask(task_id, + task_error_type, + &task_execution_status, + error_info.get(), + /*mark_task_object_failed*/ true, + fail_immediately); } Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, @@ -746,9 +765,14 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, if (rpc_client == executing_tasks_.end()) { // This case is reached for tasks that have unresolved dependencies. - resolver_.CancelDependencyResolution(task_spec.TaskId()); - RAY_UNUSED(task_manager_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED)); + if (failed_tasks_pending_failure_cause_.contains(task_spec.TaskId())) { + // We are waiting for the task failure cause. Do not fail it here; instead, + // wait for the cause to come in and then handle it appropriately. + } else { + resolver_.CancelDependencyResolution(task_spec.TaskId()); + RAY_UNUSED(task_manager_.FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::TASK_CANCELLED)); + } if (scheduling_key_entry.CanDelete()) { // We can safely remove the entry keyed by scheduling_key from the // scheduling_key_entries_ hashmap. diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index 40a2418f7ae4..9bb3c41cb766 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -237,7 +237,8 @@ class NormalTaskSubmitter { &assigned_resources); /// Handles result from GetTaskFailureCause. - void HandleGetTaskFailureCause( + /// \return true if the task should be retried, false otherwise. + bool HandleGetTaskFailureCause( const Status &task_execution_status, const TaskID &task_id, const rpc::Address &addr, @@ -364,6 +365,10 @@ class NormalTaskSubmitter { // Generators that are currently running and need to be resubmitted. absl::flat_hash_set generators_to_resubmit_ ABSL_GUARDED_BY(mu_); + // Tasks that have failed but we are waiting for their error cause to decide if they + // should be retried or permanently failed. + absl::flat_hash_set failed_tasks_pending_failure_cause_ ABSL_GUARDED_BY(mu_); + // Ratelimiter controls the num of pending lease requests. std::shared_ptr lease_request_rate_limiter_; From 18664f729f5ab0480bd56968efe48a4d2d95cc08 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 30 Jul 2025 14:26:42 -0700 Subject: [PATCH 0414/1566] [serve.llm][dashboard] Serve LLM dashboard improvements (#54797) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? - Fix typo in `Time Per Output Token Latency` panel, unit should be "seconds", not "tokens" - Change TPOT and TTFT panels to more interpretable milliseconds - Key all panels by WorkerId to cleanly differentiate vLLM replica - Change aggregation period from 5m to 30s for more responsive view ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( - [x] Manual testing Before: no way to distinguish vLLM replicas by WorkerId Screenshot 2025-07-22 at 3 25 21 PM After: WorkerId selection is functional Screenshot 2025-07-22 at 3 38 39 PM --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../dashboards/serve_llm_dashboard_panels.py | 120 +++++++++--------- 1 file changed, 60 insertions(+), 60 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py index 1c5ae6b349c0..dff60f13a117 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py @@ -17,12 +17,12 @@ unit="tokens/s", targets=[ Target( - expr='rate(ray_vllm:request_prompt_tokens_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Prompt Tokens/Sec", + expr='sum by (model_name, WorkerId) (rate(ray_vllm:request_prompt_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="Prompt Tokens/Sec - {{model_name}} - {{WorkerId}}", ), Target( - expr='rate(ray_vllm:generation_tokens_total{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Generation Tokens/Sec", + expr='sum by (model_name, WorkerId) (rate(ray_vllm:generation_tokens_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="Generation Tokens/Sec - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -33,28 +33,28 @@ Panel( id=2, title="vLLM: Time Per Output Token Latency", - description="Time per output token latency in seconds.", - unit="tokens", + description="Time per output token latency in milliseconds.", + unit="ms", targets=[ Target( - expr='histogram_quantile(0.99, sum by(le) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P99", + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P99 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P95", + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P90", + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P50", + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='rate(ray_vllm:time_per_output_token_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])\n/\nrate(ray_vllm:time_per_output_token_seconds_count{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Mean", + expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="Mean - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -69,12 +69,12 @@ unit="percentunit", targets=[ Target( - expr='ray_vllm:gpu_cache_usage_perc{{model_name=~"$vllm_model_name", {global_filters}}}', - legend="GPU Cache Usage", + expr='ray_vllm:gpu_cache_usage_perc{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}', + legend="GPU Cache Usage - {{model_name}} - {{WorkerId}}", ), Target( - expr='ray_vllm:cpu_cache_usage_perc{{model_name=~"$vllm_model_name", {global_filters}}}', - legend="CPU Cache Usage", + expr='ray_vllm:cpu_cache_usage_perc{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}', + legend="CPU Cache Usage - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -85,28 +85,28 @@ Panel( id=5, title="vLLM: Time To First Token Latency", - description="P50, P90, P95, and P99 TTFT latency in seconds.", - unit="s", + description="P50, P90, P95, and P99 TTFT latency in milliseconds.", + unit="ms", targets=[ Target( - expr='rate(ray_vllm:time_to_first_token_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])\n/\nrate(ray_vllm:time_to_first_token_seconds_count{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Average", + expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="Average - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P50", + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P90", + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le) (rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P95", + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.99, sum by(le)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P99", + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P99 - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -121,24 +121,24 @@ unit="s", targets=[ Target( - expr='rate(ray_vllm:e2e_request_latency_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])\n/\nrate(ray_vllm:e2e_request_latency_seconds_count{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Average", + expr='sum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="Average - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P50", + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P90", + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P95", + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.99, sum by(le) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m])))', - legend="P99", + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + legend="P99 - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -153,16 +153,16 @@ unit="Requests", targets=[ Target( - expr='ray_vllm:num_requests_running{{model_name=~"$vllm_model_name", {global_filters}}}', - legend="Num Running", + expr='ray_vllm:num_requests_running{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}', + legend="Num Running - {{model_name}} - {{WorkerId}}", ), Target( - expr='ray_vllm:num_requests_swapped{{model_name=~"$vllm_model_name", {global_filters}}}', - legend="Num Swapped", + expr='ray_vllm:num_requests_swapped{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}', + legend="Num Swapped - {{model_name}} - {{WorkerId}}", ), Target( - expr='ray_vllm:num_requests_waiting{{model_name=~"$vllm_model_name", {global_filters}}}', - legend="Num Waiting", + expr='ray_vllm:num_requests_waiting{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}', + legend="Num Waiting - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -177,7 +177,7 @@ unit="Requests", targets=[ Target( - expr='sum by(le) (increase(ray_vllm:request_prompt_tokens_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m]))', + expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_prompt_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', legend="{{le}}", template=TargetTemplate.HEATMAP, ), @@ -195,7 +195,7 @@ unit="Requests", targets=[ Target( - expr='sum by(le) (increase(ray_vllm:request_generation_tokens_bucket{{model_name=~"$vllm_model_name", {global_filters}}}[5m]))', + expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_generation_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', legend="{{le}}", template=TargetTemplate.HEATMAP, ), @@ -213,8 +213,8 @@ unit="Requests", targets=[ Target( - expr='sum by(finished_reason) (increase(ray_vllm:request_success_total{{model_name=~"$vllm_model_name", {global_filters}}}[5m]))', - legend="{{finished_reason}}", + expr='sum by(finished_reason, model_name, WorkerId) (increase(ray_vllm:request_success_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="{{finished_reason}} - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -229,8 +229,8 @@ unit="s", targets=[ Target( - expr='rate(ray_vllm:request_queue_time_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="{{model_name}}", + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_queue_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="{{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -245,12 +245,12 @@ unit="s", targets=[ Target( - expr='rate(ray_vllm:request_decode_time_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Decode", + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_decode_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="Decode - {{model_name}} - {{WorkerId}}", ), Target( - expr='rate(ray_vllm:request_prefill_time_seconds_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="Prefill", + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_prefill_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="Prefill - {{model_name}} - {{WorkerId}}", ), ], fill=1, @@ -265,8 +265,8 @@ unit="none", targets=[ Target( - expr='rate(ray_vllm:request_max_num_generation_tokens_sum{{model_name=~"$vllm_model_name", {global_filters}}}[5m])', - legend="{{model_name}}", + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_max_num_generation_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + legend="{{model_name}} - {{WorkerId}}", ), ], fill=1, From a6622788a8c7eb901dc5a7b456c6f605346b0b51 Mon Sep 17 00:00:00 2001 From: lmsh7 <36391487+lmsh7@users.noreply.github.com> Date: Thu, 31 Jul 2025 06:02:02 +0800 Subject: [PATCH 0415/1566] [core]: Use a temporary file to share default worker path in runtime env (#53653) Signed-off-by: lmsh7 Signed-off-by: lmsh7 <36391487+lmsh7@users.noreply.github.com> Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/image_uri.py | 67 +++++++++++++++----- python/ray/tests/conftest_docker.py | 14 ++-- 2 files changed, 60 insertions(+), 21 deletions(-) diff --git a/python/ray/_private/runtime_env/image_uri.py b/python/ray/_private/runtime_env/image_uri.py index 7ff24d82cef2..cafed9a6f465 100644 --- a/python/ray/_private/runtime_env/image_uri.py +++ b/python/ray/_private/runtime_env/image_uri.py @@ -1,10 +1,11 @@ +import asyncio import logging import os +import tempfile from typing import List, Optional from ray._private.runtime_env.context import RuntimeEnvContext from ray._private.runtime_env.plugin import RuntimeEnvPlugin -from ray._private.runtime_env.utils import check_output_cmd default_logger = logging.getLogger(__name__) @@ -12,22 +13,54 @@ async def _create_impl(image_uri: str, logger: logging.Logger): # Pull image if it doesn't exist # Also get path to `default_worker.py` inside the image. - pull_image_cmd = [ - "podman", - "run", - "--quiet", - "--rm", - image_uri, - "python", - "-c", - ( - "import ray._private.workers.default_worker as default_worker; " - "print(default_worker.__file__)" - ), - ] - logger.info("Pulling image %s", image_uri) - worker_path = await check_output_cmd(pull_image_cmd, logger=logger) - return worker_path.strip() + with tempfile.TemporaryDirectory() as tmpdir: + os.chmod(tmpdir, 0o777) + result_file = os.path.join(tmpdir, "worker_path.txt") + get_worker_path_script = """ +import ray._private.workers.default_worker as dw +with open('/shared/worker_path.txt', 'w') as f: + f.write(dw.__file__) +""" + cmd = [ + "podman", + "run", + "--rm", + "-v", + f"{tmpdir}:/shared:Z", + image_uri, + "python", + "-c", + get_worker_path_script, + ] + + logger.info("Pulling image %s", image_uri) + + process = await asyncio.create_subprocess_exec( + *cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE + ) + + stdout, stderr = await process.communicate() + + if process.returncode != 0: + raise RuntimeError( + f"Podman command failed: cmd={cmd}, returncode={process.returncode}, stdout={stdout.decode()}, stderr={stderr.decode()}" + ) + + if not os.path.exists(result_file): + raise FileNotFoundError( + f"Worker path file not created when getting worker path for image {image_uri}" + ) + + with open(result_file, "r") as f: + worker_path = f.read().strip() + + if not worker_path.endswith(".py"): + raise ValueError( + f"Invalid worker path inferred in image {image_uri}: {worker_path}" + ) + + logger.info(f"Inferred worker path in image {image_uri}: {worker_path}") + return worker_path def _modify_context_impl( diff --git a/python/ray/tests/conftest_docker.py b/python/ray/tests/conftest_docker.py index 7ace7460f055..5af01235493a 100644 --- a/python/ray/tests/conftest_docker.py +++ b/python/ray/tests/conftest_docker.py @@ -181,10 +181,16 @@ def run_in_container(cmds: List[List[str]], container_id: str): for cmd in cmds: docker_cmd = ["docker", "exec", container_id] + cmd print(f"Executing command: {docker_cmd}", time.time()) - resp = subprocess.check_output(docker_cmd, stderr=subprocess.STDOUT) - output = resp.decode("utf-8").strip() - print(f"Output: {output}") - outputs.append(output) + try: + resp = subprocess.check_output(docker_cmd, stderr=subprocess.STDOUT) + output = resp.decode("utf-8").strip() + print(f"Output: {output}") + outputs.append(output) + except subprocess.CalledProcessError as e: + error_output = e.output.decode("utf-8") if e.output else "No output" + print(f"Command failed with return code {e.returncode}") + print(f"Full error output:\n{error_output}") + raise return outputs From 9abaefa290d7671e89d442ff15ab59f54cc0ce4c Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 30 Jul 2025 15:56:07 -0700 Subject: [PATCH 0416/1566] [core][ci] Upgrade redis version and remove from base-deps image (#55059) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 1 - python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- 3 files changed, 2 insertions(+), 3 deletions(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 6552652077ea..aeb2227870e0 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -95,7 +95,6 @@ PIP_PKGS=( ) if [[ "$AUTOSCALER" == "autoscaler" ]]; then PIP_PKGS+=( - redis six boto3 pyopenssl diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 28b30d03c605..7932603cab7a 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -58,7 +58,7 @@ pytest-timeout==2.1.0 pytest-virtualenv==1.8.1; python_version < "3.12" pytest-sphinx @ git+https://github.com/ray-project/pytest-sphinx pytest-mock==3.14.0 -redis==4.4.2 +redis scikit-learn==1.3.2 smart_open[s3]==6.2.0 tqdm==4.67.1 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 9fba114fac48..f94e1a538b49 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1807,7 +1807,7 @@ qpd==0.4.4 # via fugue raydp==1.7.0b20250423.dev0 # via -r python/requirements/ml/data-test-requirements.txt -redis==4.4.2 +redis==4.5.4 # via -r python/requirements/test-requirements.txt referencing==0.36.2 # via From d51171fd32b00a88e96511b814e8c48550db88a7 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Wed, 30 Jul 2025 15:57:28 -0700 Subject: [PATCH 0417/1566] [Data] [Docs] Add code snippet in docs for partitioned writes (#55002) ## Why are these changes needed? Give simple code snippet to illustrate how partitioned writes work in `write_parquet` ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- doc/source/data/saving-data.rst | 75 +++++++++++++++++++++++++++++++++ 1 file changed, 75 insertions(+) diff --git a/doc/source/data/saving-data.rst b/doc/source/data/saving-data.rst index 5e7ed776283f..d37215541584 100644 --- a/doc/source/data/saving-data.rst +++ b/doc/source/data/saving-data.rst @@ -168,6 +168,81 @@ number of output files, configure ``min_rows_per_file``. ['0_000001_000000.csv', '0_000000_000000.csv', '0_000002_000000.csv'] + +Writing into Partitioned Dataset +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +When writing partitioned dataset (using Hive-style, folder-based partitioning) it's recommended to repartition the dataset by the partition columns prior to writing into it. +This allows you to *have the control over the file-sizes and their number*. When the dataset is repartitioned by the partition columns every block should contain all of the rows corresponding to particular partition, +meaning that the number of files created should be controlled based on the configuration provided to, +for example, `write_parquet` method (such as `min_rows_per_file`, `max_rows_per_file`). +Since every block is written out independently, when writing the dataset without prior +repartitioning you could potentially get an N number of files per partition +(where N is the number of blocks in your dataset) with very limited ability to control the +number of files & their sizes (since every block could potentially carry the rows corresponding to any partition). + +.. testcode:: + import ray + import pandas as pd + from ray.data import DataContext + from ray.data.context import ShuffleStrategy + + def print_directory_tree(start_path: str) -> None: + """ + Prints the directory tree structure starting from the given path. + """ + for root, dirs, files in os.walk(start_path): + level = root.replace(start_path, '').count(os.sep) + indent = ' ' * 4 * (level) + print(f'{indent}{os.path.basename(root)}/') + subindent = ' ' * 4 * (level + 1) + for f in files: + print(f'{subindent}{f}') + + # Sample dataset that we’ll partition by ``city`` and ``year``. + df = pd.DataFrame( + { + "city": ["SF", "SF", "NYC", "NYC", "SF", "NYC", "SF", "NYC"], + "year": [2023, 2024, 2023, 2024, 2023, 2023, 2024, 2024], + "sales": [100, 120, 90, 115, 105, 95, 130, 110], + } + ) + + ds = ray.data.from_pandas(df) + DataContext.shuffle_strategy=ShuffleStrategy.HASH_SHUFFLE + + # ── Partitioned write ────────────────────────────────────────────────────── + # 1. Repartition so all rows with the same (city, year) land in the same + # block – this minimises shuffling during the write. + # 2. Pass the same columns to ``partition_cols`` so Ray creates a + # Hive-style directory layout: city=/year=/.... + # 3. Use ``min_rows_per_file`` / ``max_rows_per_file`` to control how many + # rows Ray puts in each Parquet file. + ds.repartition(keys=["city", "year"], num_blocks=4).write_parquet( + "/tmp/sales_partitioned", + partition_cols=["city", "year"], + min_rows_per_file=2, # At least 2 rows in each file … + max_rows_per_file=3, # … but never more than 3. + ) + + print_directory_tree("/tmp/sales_partitioned") + +.. testoutput:: + :options: +NORMALIZE_WHITESPACE + + sales_partitioned/ + city=NYC/ + year=2024/ + 1_a2b8b82cd2904a368ec39f42ae3cf830_000000_000000-0.parquet + year=2023/ + 1_a2b8b82cd2904a368ec39f42ae3cf830_000001_000000-0.parquet + city=SF/ + year=2024/ + 1_a2b8b82cd2904a368ec39f42ae3cf830_000000_000000-0.parquet + year=2023/ + 1_a2b8b82cd2904a368ec39f42ae3cf830_000001_000000-0.parquet + + Converting Datasets to other Python libraries ============================================= From 91a50e10265bfb04a85f5586f644b9d9c02e8715 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 30 Jul 2025 16:06:15 -0700 Subject: [PATCH 0418/1566] [core][oneevent/1bis] rename 'Event' to 'RayEvent' across gcs server (#55021) Prefix the GCS grpc endpoint/server with `RayEvent`, as requested by @MengjinYan. This prefix will also give us a convenient way to code-name the whole stack (instead of just using a broad word event). Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_server.cc | 2 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 2 +- src/ray/protobuf/gcs_service.proto | 2 +- src/ray/rpc/gcs_server/gcs_rpc_client.h | 11 +++++----- src/ray/rpc/gcs_server/gcs_rpc_server.h | 26 +++++++++++------------ 5 files changed, 22 insertions(+), 21 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 8455d1099d96..ef8dce55249d 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -741,7 +741,7 @@ void GcsServer::InitGcsTaskManager() { rpc_server_.RegisterService( std::make_unique(io_context, *gcs_task_manager_)); rpc_server_.RegisterService( - std::make_unique(io_context, *gcs_task_manager_)); + std::make_unique(io_context, *gcs_task_manager_)); } void GcsServer::InstallEventListeners() { diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index b4673bd44761..43aefe0fc9da 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -91,7 +91,7 @@ class FinishedTaskActorTaskGcPolicy : public TaskEventsGcPolicyInterface { /// /// This class has its own io_context and io_thread, that's separate from other GCS /// services. All handling of all rpc should be posted to the single thread it owns. -class GcsTaskManager : public rpc::TaskInfoHandler, public rpc::EventExportHandler { +class GcsTaskManager : public rpc::TaskInfoHandler, public rpc::RayEventExportHandler { public: /// Create a GcsTaskManager. explicit GcsTaskManager(instrumented_io_context &io_service); diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 94f26855ccd6..3e55bae2270e 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -867,7 +867,7 @@ service TaskInfoGcsService { } // Service for recording the unified ray events. -service EventExportGcsService { +service RayEventExportGcsService { // Add OneEvent task data to GCS. rpc AddEvent(events.AddEventRequest) returns (events.AddEventReply); } diff --git a/src/ray/rpc/gcs_server/gcs_rpc_client.h b/src/ray/rpc/gcs_server/gcs_rpc_client.h index e255b7cade64..9ce699b4cda9 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_client.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_client.h @@ -177,8 +177,9 @@ class GcsRpcClient { channel_, client_call_manager); task_info_grpc_client_ = std::make_shared>(channel_, client_call_manager); - event_export_grpc_client_ = std::make_shared>( - channel_, client_call_manager); + ray_event_export_grpc_client_ = + std::make_shared>(channel_, + client_call_manager); autoscaler_state_grpc_client_ = std::make_shared>( channel_, client_call_manager); @@ -396,9 +397,9 @@ class GcsRpcClient { /// Add one event data to GCS Service. VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc, ray::rpc::events, - EventExportGcsService, + RayEventExportGcsService, AddEvent, - event_export_grpc_client_, + ray_event_export_grpc_client_, /*method_timeout_ms*/ -1, /*handle_payload_status=*/true, ) @@ -603,7 +604,7 @@ class GcsRpcClient { std::shared_ptr> internal_kv_grpc_client_; std::shared_ptr> internal_pubsub_grpc_client_; std::shared_ptr> task_info_grpc_client_; - std::shared_ptr> event_export_grpc_client_; + std::shared_ptr> ray_event_export_grpc_client_; std::shared_ptr> runtime_env_grpc_client_; std::shared_ptr> autoscaler_state_grpc_client_; diff --git a/src/ray/rpc/gcs_server/gcs_rpc_server.h b/src/ray/rpc/gcs_server/gcs_rpc_server.h index 489741a41554..70994456b49f 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_server.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_server.h @@ -132,9 +132,9 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define EVENT_EXPORT_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(EventExportGcsService, \ - HANDLER, \ +#define RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(RayEventExportGcsService, \ + HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) #define NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(HANDLER) \ @@ -690,19 +690,19 @@ class TaskInfoGrpcService : public GrpcService { TaskInfoGcsServiceHandler &service_handler_; }; -class EventExportGcsServiceHandler { +class RayEventExportGcsServiceHandler { public: - virtual ~EventExportGcsServiceHandler() = default; + virtual ~RayEventExportGcsServiceHandler() = default; virtual void HandleAddEvent(AddEventRequest request, AddEventReply *reply, SendReplyCallback send_reply_callback) = 0; }; -/// The `GrpcService` for `EventExportGcsService`. -class EventExportGrpcService : public GrpcService { +/// The `GrpcService` for `RayEventExportGcsService`. +class RayEventExportGrpcService : public GrpcService { public: - explicit EventExportGrpcService(instrumented_io_context &io_service, - EventExportGcsServiceHandler &handler) + explicit RayEventExportGrpcService(instrumented_io_context &io_service, + RayEventExportGcsServiceHandler &handler) : GrpcService(io_service), service_handler_(handler) {} protected: @@ -711,14 +711,14 @@ class EventExportGrpcService : public GrpcService { const std::unique_ptr &cq, std::vector> *server_call_factories, const ClusterID &cluster_id) override { - EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvent); + RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvent); } private: /// The grpc async service object. - EventExportGcsService::AsyncService service_; + RayEventExportGcsService::AsyncService service_; /// The service handler that actually handle the requests. - EventExportGcsServiceHandler &service_handler_; + RayEventExportGcsServiceHandler &service_handler_; }; class InternalPubSubGcsServiceHandler { @@ -775,7 +775,7 @@ using InternalKVHandler = InternalKVGcsServiceHandler; using InternalPubSubHandler = InternalPubSubGcsServiceHandler; using RuntimeEnvHandler = RuntimeEnvGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; -using EventExportHandler = EventExportGcsServiceHandler; +using RayEventExportHandler = RayEventExportGcsServiceHandler; } // namespace rpc } // namespace ray From 9999eab5904d3b608e4d1542d4670bc8e69044d0 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 16:56:43 -0700 Subject: [PATCH 0419/1566] [image] upgrade setuptools (#55060) to latest 80.9.0 --------- Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-wheel.sh | 2 +- docker/base-deps/Dockerfile | 2 +- python/build-wheel-macos.sh | 5 +---- 3 files changed, 3 insertions(+), 6 deletions(-) diff --git a/ci/build/build-manylinux-wheel.sh b/ci/build/build-manylinux-wheel.sh index ccd143591d0d..a324091b7903 100755 --- a/ci/build/build-manylinux-wheel.sh +++ b/ci/build/build-manylinux-wheel.sh @@ -8,7 +8,7 @@ export RAY_BUILD_ENV="manylinux_py${PYTHON}" mkdir -p .whl cd python -/opt/python/"${PYTHON}"/bin/pip install -q cython==3.0.12 setuptools==75.8.0 +/opt/python/"${PYTHON}"/bin/pip install -q cython==3.0.12 setuptools==80.9.0 # Set the commit SHA in _version.py. if [[ -n "$TRAVIS_COMMIT" ]]; then sed -i.bak "s/{{RAY_COMMIT_SHA}}/$TRAVIS_COMMIT/g" ray/_version.py && rm ray/_version.py.bak diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index aeb2227870e0..04e68894729b 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -86,7 +86,7 @@ $HOME/anaconda3/bin/conda clean -y --all PIP_PKGS=( # Required a recent version of setuptools to be compatible with python 3.12+. - setuptools==71.1.0 + setuptools==80.9.0 flatbuffers cython diff --git a/python/build-wheel-macos.sh b/python/build-wheel-macos.sh index e5c1d5daef86..9bad985a46d0 100755 --- a/python/build-wheel-macos.sh +++ b/python/build-wheel-macos.sh @@ -70,10 +70,7 @@ for ((i=0; i<${#PY_MMS[@]}; ++i)); do pushd python # Setuptools on CentOS is too old to install arrow 0.9.0, therefore we upgrade. # TODO: Unpin after https://github.com/pypa/setuptools/issues/2849 is fixed. - $PIP_CMD install --upgrade setuptools==69.5.1 - $PIP_CMD install -q cython==3.0.12 - # Install wheel to avoid the error "invalid command 'bdist_wheel'". - $PIP_CMD install -q wheel + $PIP_CMD install -q setuptools==80.9.0 cython==3.0.12 wheel # Set the commit SHA in _version.py. if [ -n "$TRAVIS_COMMIT" ]; then echo "TRAVIS_COMMIT variable detected. ray.__commit__ will be set to $TRAVIS_COMMIT" From c8b3e6ff02dc6b8cc66bd29b77c6d6f019dc09ad Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 30 Jul 2025 17:03:41 -0700 Subject: [PATCH 0420/1566] [core] (cgroups 1/n) Adding a sys/fs filesystem driver to perform cgroup operations. (#54898) Ray is going to use cgroups to implement resource isolation between system processes (raylet, dashboard_agent, gcs) and application processes (workers). See https://github.com/ray-project/ray/issues/54703 for more details. If you're interested in learning more about cgroups, here are a few resources: - https://docs.kernel.org/admin-guide/cgroup-v2.html (the docs) - https://www.youtube.com/watch?v=kcnFQgg9ToY (a video) The following classes are introduced: - CgroupDriver (interface that should be agnostic of the filesystem) - SysFsCgroupDriver (implements CgroupDriver by interacting with the /sys/fs/cgroup filesystem) Ray will currently only the following cgroup controllers with their respective constraints: - cpu (with cpu.weight) - memory (with memory.min) I've tried to introduce a few patterns and best practices that are worth pointing out: ### Class Design - Returning Status/StatusOr from all public methods that can fail to facilitate proper error handling in the caller. - Separating the interface from the implementation (see CgroupDriverInterface.h) to facilitate dependency injection for tests. This also future-proofs the class for if/when we implement a Systemd based cgroup driver which is what K8S does. - Separating the interface also has the added benefit of improving compile times because the interface header files are lightweight. ### Documentation - I prefer to use the doxygen format for class and function documentation. These are comments that can be recognized by doxygen tooling and be used to produce API reference docs. - Writing documentation for the appropriate level thinking about the user/consumer of the API - CgroupDriver is an abstract class, but it's what the consumer of the API will import and use. It's documentation is API focused and outlines failure modes and return types. This is akin to man pages (see man 2 open). - SysFsCgroupDriver is a class that is aware of the filesystem. This is going to talk about which files on sys/fs/cgroup are used and how it interacts with them. The important thing here is to document the specific gotchas of those files. The documentation reflects this change in level of abstraction. - Most importantly, comments are written for the future reader and not for the writer. They need to be written with the goal of being understood. ### Testing - Unit tests use no mocking and are written strictly against the public API of the class under test. - Unit tests use the naming convention UnitOfWorkConditionUnderTestExpectedOutput. --------- Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- src/ray/common/cgroup2/BUILD | 27 ++ .../common/cgroup2/cgroup_driver_interface.h | 206 +++++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 425 ++++++++++++++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.h | 263 +++++++++++ src/ray/common/cgroup2/test/BUILD | 29 ++ .../common/cgroup2/test/cgroup_test_utils.cc | 107 +++++ .../common/cgroup2/test/cgroup_test_utils.h | 71 +++ .../cgroup2/test/sysfs_cgroup_driver_test.cc | 132 ++++++ src/ray/common/status.cc | 1 + src/ray/common/status.h | 10 + src/ray/common/status_or.h | 6 + 12 files changed, 1278 insertions(+), 1 deletion(-) create mode 100644 src/ray/common/cgroup2/BUILD create mode 100644 src/ray/common/cgroup2/cgroup_driver_interface.h create mode 100644 src/ray/common/cgroup2/sysfs_cgroup_driver.cc create mode 100644 src/ray/common/cgroup2/sysfs_cgroup_driver.h create mode 100644 src/ray/common/cgroup2/test/BUILD create mode 100644 src/ray/common/cgroup2/test/cgroup_test_utils.cc create mode 100644 src/ray/common/cgroup2/test/cgroup_test_utils.h create mode 100644 src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 5b924789d872..69ef98aaef03 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,7 +73,7 @@ repos: hooks: - id: cpplint args: ["--filter=-whitespace/braces,-whitespace/line_length,-build/c++11,-build/c++14,-build/c++17,-readability/braces,-whitespace/indent_namespace,-runtime/int,-runtime/references,-build/include_order"] - files: ^src/ray/(common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ + files: ^src/ray/(common/cgroup2|common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ exclude: | (?x)^( src/ray/raylet/scheduling/.*\.(h|cc)$ | diff --git a/src/ray/common/cgroup2/BUILD b/src/ray/common/cgroup2/BUILD new file mode 100644 index 000000000000..082f252f9e4c --- /dev/null +++ b/src/ray/common/cgroup2/BUILD @@ -0,0 +1,27 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "cgroup_driver_interface", + hdrs = [ + "cgroup_driver_interface.h", + ], + deps = [ + "//src/ray/common:status", + "//src/ray/common:status_or", + ], +) + +ray_cc_library( + name = "sysfs_cgroup_driver", + srcs = ["sysfs_cgroup_driver.cc"], + hdrs = [ + "sysfs_cgroup_driver.h", + ], + deps = [ + ":cgroup_driver_interface", + "//src/ray/common:status", + "//src/ray/common:status_or", + "//src/ray/util:logging", + "@com_google_absl//absl/strings", + ], +) diff --git a/src/ray/common/cgroup2/cgroup_driver_interface.h b/src/ray/common/cgroup2/cgroup_driver_interface.h new file mode 100644 index 000000000000..132000c79ff5 --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_driver_interface.h @@ -0,0 +1,206 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include +#include +#include +#include + +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +namespace ray { + +/** + A utility that can be used to check if cgroupv2 is mounted correctly + and perform cgroup operations on the system. It supports the memory and cpu controllers + with the memory.min and cpu.weight constraints respectively. + + @see The cgroupv2 documentation for more details: + https://docs.kernel.org/admin-guide/cgroup-v2.html + */ +class CgroupDriverInterface { + public: + virtual ~CgroupDriverInterface() = default; + + /** + Checks to see if only cgroupv2 is enabled (known as unified mode) on the system. + If cgroupv2 is not enabled, or enabled along with cgroupv1, returns Invalid + with the appropriate error message. + + @see systemd's documentation for more information about unified mode: + https://github.com/systemd/systemd/blob/main/docs/CGROUP_DELEGATION.md#hierarchy-and-controller-support + + @see K8S documentation on how to enable cgroupv2 and check if it's enabled correctly: + https://kubernetes.io/docs/concepts/architecture/cgroups/#linux-distribution-cgroup-v2-support + + @return Status::OK if successful, + @return Status::Invalid if cgroupv2 is not enabled correctly. + */ + virtual Status CheckCgroupv2Enabled() = 0; + + /** + Checks that the cgroup is valid. See return values for details of which + invariants are checked. + + @param cgroup the absolute path of the cgroup. + + @return Status::OK if no errors are encounted. Otherwise, one of the following errors + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2. + */ + virtual Status CheckCgroup(const std::string &cgroup) = 0; + + /** + Creates a new cgroup at the specified path. + Expects all cgroups on the path from root -> the new cgroup to already exist. + Expects the user to have read, write, and execute privileges to parent cgroup. + + @param cgroup is an absolute path to the cgroup + + @return Status::OK if no errors are encounted. Otherwise, one of the following errors + @return Status::NotFound if an ancestor cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::AlreadyExists if the cgroup already exists. + */ + virtual Status CreateCgroup(const std::string &cgroup) = 0; + + /** + Move all processes from one cgroup to another. The process must have read, write, and + execute permissions for both cgroups and their lowest common ancestor. + + @see The relevant section of the cgroup documentation for more details: + https://docs.kernel.org/admin-guide/cgroup-v2.html#delegation-containment + + @param from the absolute path of the cgroup to migrate processes out of. + @param to the absolute path of the cgroup to migrate processes into. + + @return Status::OK if no errors are encounted. Otherwise, one of the following errors + @return Status::NotFound if to or from don't exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::Invalid if any errors occur while reading from and writing to + cgroups. + */ + virtual Status MoveAllProcesses(const std::string &from, const std::string &to) = 0; + + /** + Enables an available controller on a cgroup. A controller can be enabled if the + 1) controller is enabled in the parent of the cgroup. + 2) cgroup has no children i.e. it's a leaf node. + + @param cgroup is an absolute path to the cgroup. + @param controller is the name of the controller (e.g. "cpu" and not "+cpu") + + @see No Internal Process Constraint for more details: + https://docs.kernel.org/admin-guide/cgroup-v2.html#no-internal-process-constraint + + @return Status::OK if successful, otherwise one of the following + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions for the cgroup. + @return Status::InvalidArgument if the controller is not available or if cgroup is not + a cgroupv2. + @return Status::Invalid for all other failures. + */ + virtual Status EnableController(const std::string &cgroup, + const std::string &controller) = 0; + + /** + Disables an enabled controller in a cgroup. A controller can be disabled if the + controller is not enabled on a child cgroup. + + @param cgroup is an absolute path to the cgroup. + @param controller is the name of the controller (e.g. "cpu" and not "-cpu") + + @return Status::OK if successful, otherwise one of the following + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions for the cgroup. + @return Status::InvalidArgument if the controller is not enabled + or if cgroup is not a cgroupv2. Status::Invalid for all other failures. + */ + virtual Status DisableController(const std::string &cgroup, + const std::string &controller) = 0; + /** + Adds a resource constraint to the cgroup. To add a constraint + 1) the cgroup must have the relevant controller enabled e.g. memory.min cannot be + enabled if the memory controller is not enabled. + 2) the constraint must be supported in Ray (@see supported_constraints_). + 3) the constraint value must be in the correct range (@see supported_constraints_). + + @param cgroup is an absolute path to the cgroup. + @param constraint the name of the constraint. + @param value the value of the constraint. + + @return Status::OK if successful, otherwise one of the following + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions for the cgroup. + @return Status::InvalidArgument if the cgroup is not valid or constraint is not + supported or the value not correct. + */ + virtual Status AddConstraint(const std::string &cgroup, + const std::string &constraint, + const std::string &value) = 0; + /** + Returns a list of controllers that can be enabled on the given cgroup based on + what is enabled on the parent cgroup. + + @param cgroup absolute path of the cgroup. + + @return Status::OK with a set of controllers if successful, otherwise one of + following + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2 or malformed + controllers file. + */ + virtual StatusOr> GetAvailableControllers( + const std::string &cgroup) = 0; + + /** + Returns a list of controllers enabled on the cgroup. + + @param cgroup absolute path of the cgroup. + + @return Status::OK with a set of controllers if successful, otherwise one of following + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2 or malformed + controllers file. + */ + virtual StatusOr> GetEnabledControllers( + const std::string &cgroup) = 0; + + struct Constraint { + std::pair range; + std::string controller; + }; + + protected: + const std::unordered_map supported_constraints_ = { + {"cpu.weight", {{1, 10000}, "cpu"}}, + {"memory.min", {{0, std::numeric_limits::max()}, "memory"}}, + }; + const std::unordered_set supported_controllers_ = {"cpu", "memory"}; +}; +} // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc new file mode 100644 index 000000000000..fc564dfb7fd9 --- /dev/null +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -0,0 +1,425 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "absl/strings/str_format.h" +#include "absl/strings/str_join.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +namespace ray { +Status SysFsCgroupDriver::CheckCgroupv2Enabled() { + FILE *fp = setmntent(mount_file_path_.c_str(), "r"); + + if (!fp) { + return Status::Invalid( + absl::StrFormat("Failed to open mount file at %s. Could not verify that " + "cgroupv2 was mounted correctly. \n%s", + mount_file_path_, + strerror(errno))); + } + + bool found_cgroupv1 = false; + bool found_cgroupv2 = false; + + struct mntent *mnt; + while ((mnt = getmntent(fp)) != nullptr) { + found_cgroupv1 = found_cgroupv1 || strcmp(mnt->mnt_fsname, "cgroup") == 0; + found_cgroupv2 = found_cgroupv2 || strcmp(mnt->mnt_fsname, "cgroup2") == 0; + } + + // After parsing the mount file, the file should be at the EOF position. + // If it's not, getmntent encountered an error. + if (!feof(fp) || !endmntent(fp)) { + return Status::Invalid( + absl::StrFormat("Failed to parse mount file at %s. Could not verify that " + "cgroupv2 was mounted correctly.", + mount_file_path_)); + } + + if (found_cgroupv1 && found_cgroupv2) { + return Status::Invalid("Cgroupv1 and cgroupv2 are both mounted. Unmount cgroupv1."); + } else if (found_cgroupv1 && !found_cgroupv2) { + // TODO(#54703): provide a link to the ray documentation once it's been written + // for how to troubleshoot these. + return Status::Invalid( + "Cgroupv1 is mounted and cgroupv2 is not mounted. " + "Unmount cgroupv1 and mount cgroupv2."); + } else if (!found_cgroupv2) { + return Status::Invalid("Cgroupv2 is not mounted. Mount cgroupv2."); + } + return Status::OK(); +} + +Status SysFsCgroupDriver::CheckCgroup(const std::string &cgroup_path) { + struct statfs fs_stats {}; + if (statfs(cgroup_path.c_str(), &fs_stats) != 0) { + if (errno == ENOENT) { + return Status::NotFound( + absl::StrFormat("Cgroup at %s does not exist.", cgroup_path)); + } + if (errno == EACCES) { + return Status::PermissionDenied( + absl::StrFormat("The current user does not have read, write, and execute " + "permissions for the directory at path %s.\n%s", + cgroup_path, + strerror(errno))); + } + return Status::InvalidArgument( + absl::StrFormat("Failed to stat cgroup directory at path %s because of %s", + cgroup_path, + strerror(errno))); + } + if (fs_stats.f_type != CGROUP2_SUPER_MAGIC) { + return Status::InvalidArgument( + absl::StrFormat("Directory at path %s is not of type cgroupv2. " + "For instructions to mount cgroupv2 correctly, see:\n" + "https://kubernetes.io/docs/concepts/architecture/cgroups/" + "#linux-distribution-cgroup-v2-support.", + cgroup_path)); + } + + // NOTE: the process needs execute permissions for the cgroup directory + // to traverse the filesystem. + if (access(cgroup_path.c_str(), R_OK | W_OK | X_OK) == -1) { + return Status::PermissionDenied( + absl::StrFormat("The current user does not have read, write, and execute " + "permissions for the directory at path %s.\n%s", + cgroup_path, + strerror(errno))); + } + + return Status::OK(); +} + +Status SysFsCgroupDriver::CreateCgroup(const std::string &cgroup_path) { + if (mkdir(cgroup_path.c_str(), S_IRWXU) == -1) { + if (errno == ENOENT) { + return Status::NotFound( + absl::StrFormat("Failed to create cgroup at path %s with permissions %#o. " + "The parent cgroup does not exist.\n" + "Error: %s.", + cgroup_path, + S_IRWXU, + strerror(errno))); + } + if (errno == EACCES) { + return Status::PermissionDenied(absl::StrFormat( + "Failed to create cgroup at path %s with permissions %#o. " + "The current user does not have read, write, execute permissions " + "for the parent cgroup.\n" + "Error: %s.", + cgroup_path, + S_IRWXU, + strerror(errno))); + } + if (errno == EEXIST) { + return Status::AlreadyExists( + absl::StrFormat("Failed to create cgroup at path %s with permissions %#o. " + "The cgroup already exists.\n" + "Error: %s.", + cgroup_path, + S_IRWXU, + strerror(errno))); + } + return Status::InvalidArgument( + absl::StrFormat("Failed to create cgroup at path %s with permissions %#o.\n" + "Error: %s.", + cgroup_path, + S_IRWXU, + strerror(errno))); + } + return Status::OK(); +} + +StatusOr> SysFsCgroupDriver::GetAvailableControllers( + const std::string &cgroup_dir) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_dir)); + + std::string controller_file_path = cgroup_dir + + std::filesystem::path::preferred_separator + + std::string(kCgroupControllersFilename); + return ReadControllerFile(controller_file_path); +} + +StatusOr> SysFsCgroupDriver::GetEnabledControllers( + const std::string &cgroup_dir) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_dir)); + + std::string controller_file_path = cgroup_dir + + std::filesystem::path::preferred_separator + + std::string(kCgroupSubtreeControlFilename); + return ReadControllerFile(controller_file_path); +} + +Status SysFsCgroupDriver::MoveAllProcesses(const std::string &from, + const std::string &to) { + RAY_RETURN_NOT_OK(CheckCgroup(from)); + RAY_RETURN_NOT_OK(CheckCgroup(to)); + std::filesystem::path from_procs_file_path = + from / std::filesystem::path(kCgroupProcsFilename); + std::filesystem::path to_procs_file_path = + to / std::filesystem::path(kCgroupProcsFilename); + std::ifstream in_file(from_procs_file_path); + std::ofstream out_file(to_procs_file_path, std::ios::ate); + if (!in_file.is_open()) { + return Status::Invalid(absl::StrFormat("Could not open cgroup procs file at path %s.", + from_procs_file_path)); + } + if (!out_file.is_open()) { + return Status::Invalid( + absl::StrFormat("Could not open cgroup procs file %s", to_procs_file_path)); + } + pid_t pid = 0; + while (in_file >> pid) { + if (in_file.fail()) { + return Status::Invalid(absl::StrFormat( + "Could not read PID from cgroup procs file %s", from_procs_file_path)); + } + out_file << pid; + out_file.flush(); + if (out_file.fail()) { + return Status::Invalid(absl::StrFormat( + "Could not write pid to cgroup procs file %s", to_procs_file_path)); + } + } + return Status::OK(); +} + +Status SysFsCgroupDriver::EnableController(const std::string &cgroup_path, + const std::string &controller) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_path)); + + StatusOr> available_controllers_s = + GetAvailableControllers(cgroup_path); + + RAY_RETURN_NOT_OK(available_controllers_s.status()); + auto available_controllers = available_controllers_s.value(); + + if (available_controllers.find(controller) == available_controllers.end()) { + std::string enabled_controllers_str = + absl::StrCat("[", absl::StrJoin(available_controllers, ", "), "]"); + return Status::InvalidArgument(absl::StrFormat( + "Controller %s is not available for cgroup at path %s.\n" + "Current available controllers are %s. " + "To enable a controller in a cgroup X, all cgroups in the path from " + "the root cgroup to X must have the controller enabled.", + controller, + cgroup_path, + enabled_controllers_str)); + } + + std::filesystem::path enabled_ctrls_file = + std::filesystem::path(cgroup_path + std::filesystem::path::preferred_separator + + std::string(kCgroupSubtreeControlFilename)); + std::ofstream out_file(enabled_ctrls_file, std::ios::ate); + if (!out_file.is_open()) { + return Status::Invalid(absl::StrFormat("Could not open cgroup controllers file at %s", + enabled_ctrls_file)); + } + out_file << ("+" + controller); + out_file.flush(); + if (out_file.fail()) { + return Status::Invalid(absl::StrFormat( + "Could not open write to cgroup controllers file %s", enabled_ctrls_file)); + } + return Status::OK(); +} + +Status SysFsCgroupDriver::DisableController(const std::string &cgroup_path, + const std::string &controller) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_path)); + std::string controller_file_path = cgroup_path + + std::filesystem::path::preferred_separator + + std::string(kCgroupSubtreeControlFilename); + + StatusOr> enabled_controllers_s = + ReadControllerFile(controller_file_path); + + RAY_RETURN_NOT_OK(enabled_controllers_s.status()); + + auto enabled_controllers = enabled_controllers_s.value(); + + if (enabled_controllers.find(controller) == enabled_controllers.end()) { + std::string enabled_controllers_str = + absl::StrCat("[", absl::StrJoin(enabled_controllers, ", "), "]"); + return Status::InvalidArgument( + absl::StrFormat("Controller %s is not enabled for cgroup at path %s.\n" + "Current enabled controllers are %s. ", + controller, + cgroup_path, + enabled_controllers_str)); + } + + std::ofstream out_file(controller_file_path, std::ios::ate); + if (!out_file.is_open()) { + return Status::Invalid(absl::StrFormat("Could not open cgroup controllers file at %s", + controller_file_path)); + } + out_file << ("-" + controller); + out_file.flush(); + if (!out_file.good()) { + return Status::Invalid(absl::StrFormat( + "Could not open write to cgroup controllers file %s", controller_file_path)); + } + return Status::OK(); +} + +Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup, + const std::string &constraint, + const std::string &constraint_value) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup)); + auto constraint_it = supported_constraints_.find(constraint); + if (constraint_it == supported_constraints_.end()) { + std::string supported_constraint_names("["); + for (auto it = supported_constraints_.begin(); it != supported_constraints_.end(); + ++it) { + supported_constraint_names.append(it->first); + if (std::next(it) != supported_constraints_.end()) { + supported_constraint_names.append(", "); + } + } + supported_constraint_names.append("]"); + return Status::InvalidArgument(absl::StrFormat( + "Failed to apply constraint %s to cgroup %s. Ray only supports %s", + constraint, + cgroup, + supported_constraint_names)); + } + + // Check if the constraint value is out of range and therefore invalid. + auto [low, high] = constraint_it->second.range; + size_t value = static_cast(std::stoi(constraint_value)); + if (value < low || value > high) { + return Status::InvalidArgument(absl::StrFormat( + "Failed to apply constraint %s=%s to cgroup %s. %s can only have values " + "in the range[%i, %i].", + constraint, + constraint_value, + cgroup, + constraint, + low, + high)); + } + + // Check if the required controller for the constraint is enabled. + const std::string &controller = constraint_it->second.controller; + StatusOr> available_controllers_s = + GetEnabledControllers(cgroup); + RAY_RETURN_NOT_OK(available_controllers_s.status()); + const auto &controllers = available_controllers_s.value(); + if (controllers.find(controller) == controllers.end()) { + return Status::InvalidArgument(absl::StrFormat( + "Failed to apply %s to cgroup %s. To use %s, enable the %s controller.", + constraint, + cgroup, + constraint, + controller)); + } + + // Try to apply the constraint and propagate the appropriate failure error. + std::string file_path = + cgroup + std::filesystem::path::preferred_separator + constraint; + + int fd = open(file_path.c_str(), O_RDWR); + + if (fd == -1) { + return Status::InvalidArgument( + absl::StrFormat("Failed to apply %s=%s to cgroup %s.\n" + "Error: %s", + constraint, + constraint_value, + cgroup, + strerror(errno))); + } + + ssize_t bytes_written = write(fd, constraint_value.c_str(), constraint_value.size()); + + if (bytes_written != static_cast(constraint_value.size())) { + close(fd); + return Status::InvalidArgument( + absl::StrFormat("Failed to apply %s=%s to cgroup %s.\n" + "Error: %s", + constraint, + constraint_value, + cgroup, + strerror(errno))); + } + close(fd); + return Status::OK(); +} + +StatusOr> SysFsCgroupDriver::ReadControllerFile( + const std::string &controller_file_path) { + std::ifstream controllers_file(controller_file_path); + + if (!controllers_file.is_open()) { + return Status::InvalidArgument(absl::StrFormat( + "Failed to open controllers file at path %s.", controller_file_path)); + } + + std::unordered_set controllers; + + if (controllers_file.peek() == EOF) { + return StatusOr>(controllers); + } + + std::string line; + std::getline(controllers_file, line); + + if (!controllers_file.good()) { + return Status::InvalidArgument( + absl::StrFormat("Failed to parse controllers file %s.", controller_file_path)); + } + + std::istringstream input_ss(line); + std::string controller; + + while (input_ss >> controller) { + controllers.emplace(std::move(controller)); + } + + std::getline(controllers_file, line); + + // A well-formed controllers file should have just one line. + if (!controllers_file.eof()) { + return Status::InvalidArgument( + absl::StrFormat("Failed to parse controllers file %s.", controller_file_path)); + } + + return StatusOr>(controllers); +} + +} // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.h b/src/ray/common/cgroup2/sysfs_cgroup_driver.h new file mode 100644 index 000000000000..fd56d129617b --- /dev/null +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.h @@ -0,0 +1,263 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include + +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +// Used to identify if a filesystem is mounted using cgroupv2. +// See: https://docs.kernel.org/admin-guide/cgroup-v2.html#mounting +#ifndef CGROUP2_SUPER_MAGIC +#define CGROUP2_SUPER_MAGIC 0x63677270 +#endif + +namespace ray { + +/** + * Peforms cgroupv2 operations using the pseudo filesystem documented + * here https://docs.kernel.org/admin-guide/cgroup-v2.html#interface-files. + * + * Usage: + * std::unique_ptr driver = + * std::make_unique(); + * if (driver->CheckCgroupv2Enabled.ok()) { + * // perform operations + * } + */ +class SysFsCgroupDriver : public CgroupDriverInterface { + public: + /** + * MOUNTED is defined in mntent.h (and typically refers to /etc/mtab) + * @see https://www.gnu.org/software/libc/manual/2.24/html_node/Mount-Information.html + * + * @param mount_file_path only used for testing. + */ + explicit SysFsCgroupDriver(std::string mount_file_path = MOUNTED) + : mount_file_path_(std::move(mount_file_path)) {} + + ~SysFsCgroupDriver() override = default; + SysFsCgroupDriver(const SysFsCgroupDriver &other) = delete; + SysFsCgroupDriver(const SysFsCgroupDriver &&other) = delete; + SysFsCgroupDriver &operator=(const SysFsCgroupDriver &other) = delete; + SysFsCgroupDriver &operator=(const SysFsCgroupDriver &&other) = delete; + + /** + The recommended way to mount cgroupv2 is with cgroupv1 disabled. This prevents + cgroup controllers from being migrated between the two modes. This follows + the recommendation from systemd and K8S. + + Parses the mount file at /etc/mstab and returns Ok if only cgroupv2 is + mounted. + + Example Mountfile that is correct: + /dev/root / ext4 rw,relatime,discard + /dev/nvme2n1 /home/ubuntu ext4 rw,noatime,discard + cgroup2 /sys/fs/cgroup cgroup2 rw,nosuid,nodev,noexec,relatime,nsdelegate + + Example Mountfile that is incorrect (both v2 and v1 are mounted): + /dev/root / ext4 rw,relatime,discard + /dev/nvme2n1 /home/ubuntu ext4 rw,noatime,discard + cgroup /sys/fs/cgroup cgroup rw,nosuid,nodev,noexec,relatime,nsdelegate + cgroup2 /sys/fs/cgroup/unified/ cgroup2 rw,nosuid,nodev,noexec,relatime,nsdelegate + + @return OK if no errors + @return Status::Invalid if cgroupv2 is not enabled correctly. + */ + Status CheckCgroupv2Enabled() override; + + /** + Checks to see if the cgroup_path is mounted in the cgroupv2 filesystem + and that the current process has read, write, and execute permissions for + the directory. Uses the CGROUP_SUPER_MAGIC to detect that the filesystem + is mounted as cgroupv2. + + @param cgroup_path the path of a cgroup directory. + + @see The kernel documentation for CGROUP2_SUPER_MAGIC + https://www.kernel.org/doc/html/v5.4/admin-guide/cgroup-v2.html#mounting + + @return Status::OK if no errors are encounted. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2. + */ + Status CheckCgroup(const std::string &cgroup_path) override; + + /** + To create a cgroup using the cgroupv2 vfs, the current user needs to read, write, and + execute permissions for the parent cgroup. This can be achieved through cgroup + delegation. + + @see The relevant manpage section on delegation for more details + https://docs.kernel.org/admin-guide/cgroup-v2.html#delegation + + @param cgroup_path the absolute path of the cgroup directory to create. + + @return Status::OK if no errors are encounted. + @return Status::NotFound if an ancestor cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::AlreadyExists if the cgroup already exists. + */ + Status CreateCgroup(const std::string &cgroup_path) override; + + /** + Parses the cgroup.controllers file which has a space separated list of all controllers + available to the cgroup. + + @see For details of the cgroup.controllers file + https://docs.kernel.org/admin-guide/cgroup-v2.html#enabling-and-disabling. + + @param cgroup_path absolute path of the cgroup. + @return Status::OK with a set of controllers if successful. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2 or malformed + controllers file. + */ + StatusOr> GetAvailableControllers( + const std::string &cgroup_dir) override; + + /** + Parses the cgroup.subtree_control file which has a space separated list of all + controllers enabled in the cgroup. + + @see For details of the cgroup.subtree_control file + https://docs.kernel.org/admin-guide/cgroup-v2.html#enabling-and-disabling. + + @param cgroup_path absolute path of the cgroup. + @return Status::OK with a set of controllers if successful. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2 or if the + cgroup.subtree_control is malformed. + */ + StatusOr> GetEnabledControllers( + const std::string &cgroup_dir) override; + + /** + Reads the cgroup.procs of "from" and writes them out to the given file. + The cgroup.procs file is newline seperated. The current user must have + read-write permissions to both cgroup.procs file as well as the common ancestor + of the source and destination cgroups. + + @see The cgroup.procs section for more information + https://docs.kernel.org/admin-guide/cgroup-v2.html#core-interface-files + + @return Status::OK with if successful. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2. + @return Status::Invalid if files could not be opened, read from, or written to + correctly. + */ + Status MoveAllProcesses(const std::string &from, const std::string &to) override; + + /** + Enables a controller by writing to the cgroup.subtree_control file. This can + only happen if + + 1. The controller is not enabled in the parent see cgroup. + 2. The cgroup is not a leaf node i.e. it has children. This is called the no internal + process constraint + + @see the cgroup documentation for the cgroup.subtree_control file + https://docs.kernel.org/admin-guide/cgroup-v2.html#controlling-controllers + + @param cgroup_path absolute path of the cgroup. + @param controller name of the controller i.e. "cpu" or "memory" from + @ref CgroupDriverInterface::supported_controllers_ "supported controllers". + + @return Status::OK if successful + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2, if the controller + is not available i.e not enabled on the parent. + @return Status::Invalid if cannot open or write to cgroup.subtree_control. + */ + Status EnableController(const std::string &cgroup_path, + const std::string &controller) override; + + /** + Disables a controller by writing to the cgroup.subtree_control file. This can + only happen if the controller is not enabled in child cgroups. + + @see the cgroup documentation for the cgroup.subtree_control file + https://docs.kernel.org/admin-guide/cgroup-v2.html#controlling-controllers + + @param cgroup_path absolute path of the cgroup. + @param controller name of the controller i.e. "cpu" or "memory" from + @ref CgroupDriverInterface::supported_controllers_ "supported controllers". + + @return Status::OK if successful. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2, if the controller + is not available i.e not enabled on the parent. + @return Status::Invalid if cannot open or write to cgroup.subtree_control. + */ + Status DisableController(const std::string &cgroup_path, + const std::string &controller) override; + + /** + Adds a constraint to the respective cgroup file. See + @ref CgroupDriverInterface::supported_constraints_ "supported constraints" and valid + values. + + @return Status::OK if no errors are encounted. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup is not using cgroupv2, the constraint + is not supported in ray, the constraint value is out of range, or if cannot write + to the relevant constraint file. + */ + Status AddConstraint(const std::string &cgroup, + const std::string &constraint, + const std::string &constraint_value) override; + + private: + /** + @param controller_file_path the absolute path of the controller file to read which is + one of cgroup.subtree_control or cgroup.controllers. + + @return Status::OK with a list of controllers in the file. + @return Status::InvalidArgument if failed to read file or file was malformed. + */ + StatusOr> ReadControllerFile( + const std::string &controller_file_path); + + // Used for unit testing through the constructor. + std::string mount_file_path_; + + static constexpr std::string_view kCgroupProcsFilename = "cgroup.procs"; + static constexpr std::string_view kCgroupSubtreeControlFilename = + "cgroup.subtree_control"; + static constexpr std::string_view kCgroupControllersFilename = "cgroup.controllers"; +}; +} // namespace ray diff --git a/src/ray/common/cgroup2/test/BUILD b/src/ray/common/cgroup2/test/BUILD new file mode 100644 index 000000000000..7157feb4a7dd --- /dev/null +++ b/src/ray/common/cgroup2/test/BUILD @@ -0,0 +1,29 @@ +load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") + +ray_cc_library( + name = "cgroup_test_utils", + srcs = ["cgroup_test_utils.cc"], + hdrs = ["cgroup_test_utils.h"], + deps = [ + "//src/ray/common:status", + "//src/ray/common:status_or", + "@com_google_absl//absl/strings:str_format", + ], +) + +ray_cc_test( + name = "sysfs_cgroup_driver_test", + srcs = ["sysfs_cgroup_driver_test.cc"], + tags = [ + "team:core", + ], + deps = [ + ":cgroup_test_utils", + "//src/ray/common:status", + "//src/ray/common:status_or", + "//src/ray/common/cgroup2:sysfs_cgroup_driver", + "//src/ray/common/test:testing", + "@com_google_absl//absl/strings:str_format", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/cgroup2/test/cgroup_test_utils.cc b/src/ray/common/cgroup2/test/cgroup_test_utils.cc new file mode 100644 index 000000000000..e61ad82e633c --- /dev/null +++ b/src/ray/common/cgroup2/test/cgroup_test_utils.cc @@ -0,0 +1,107 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/test/cgroup_test_utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "absl/strings/str_format.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" +#include "ray/util/logging.h" + +ray::StatusOr> TempDirectory::Create() { + std::string path = "/tmp/XXXXXX"; + char *ret = mkdtemp(path.data()); + if (ret == nullptr) { + return ray::Status::UnknownError( + absl::StrFormat("Failed to create a temp directory. " + "Cgroup tests expect tmpfs to be mounted and only run on Linux.\n" + "Error: %s", + strerror(errno))); + } + std::unique_ptr temp_dir = + std::make_unique(std::move(path)); + return ray::StatusOr>(std::move(temp_dir)); +} + +TempDirectory::~TempDirectory() { std::filesystem::remove_all(path_); } + +TempFile::TempFile(std::string path) { + path_ = path; + fd_ = open(path_.c_str(), O_RDWR | O_CREAT, S_IRUSR | S_IWUSR); // NOLINT + if (fd_ == -1) { + throw std::runtime_error( + absl::StrFormat("Failed to create a temp file. Cgroup tests expect " + "tmpfs to be mounted " + "and only run on Linux. Error: %s", + strerror(errno))); + } + file_output_stream_ = std::ofstream(path_, std::ios::trunc); + if (!file_output_stream_.is_open()) { + throw std::runtime_error("Could not open file on tmpfs."); + } +} + +TempFile::TempFile() { + fd_ = mkstemp(path_.data()); // NOLINT + if (fd_ == -1) { + throw std::runtime_error( + "Failed to create a temp file. Cgroup tests expect tmpfs to be " + "mounted " + "and only run on Linux"); + } + if (unlink(path_.c_str()) == -1) { + close(fd_); + throw std::runtime_error("Failed to unlink temporary file."); + } + file_output_stream_ = std::ofstream(path_, std::ios::trunc); + if (!file_output_stream_.is_open()) { + throw std::runtime_error("Could not open mount file on tmpfs."); + } +} + +TempFile::~TempFile() { + close(fd_); + file_output_stream_.close(); +} + +void TempFile::AppendLine(const std::string &line) { + file_output_stream_ << line; + file_output_stream_.flush(); + if (file_output_stream_.fail()) { + throw std::runtime_error("Could not write to mount file on tmpfs"); + } +} diff --git a/src/ray/common/cgroup2/test/cgroup_test_utils.h b/src/ray/common/cgroup2/test/cgroup_test_utils.h new file mode 100644 index 000000000000..f1622d413573 --- /dev/null +++ b/src/ray/common/cgroup2/test/cgroup_test_utils.h @@ -0,0 +1,71 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include + +#include +#include +#include +#include + +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +/** + RAII style class for creating and destroying temporary directory for testing. + TODO(irabbani): add full documentation once complete. + */ +class TempDirectory { + public: + static ray::StatusOr> Create(); + explicit TempDirectory(std::string &&path) : path_(path) {} + + TempDirectory(const TempDirectory &) = delete; + TempDirectory(TempDirectory &&) = delete; + TempDirectory &operator=(const TempDirectory &) = delete; + TempDirectory &operator=(TempDirectory &&) = delete; + + const std::string &GetPath() const { return path_; } + + ~TempDirectory(); + + private: + const std::string path_; +}; + +/** + RAII wrapper that creates a file that can be written to. + TODO(irabbani): Add full documentation once the API is complete. +*/ +class TempFile { + public: + explicit TempFile(std::string path); + TempFile(); + + TempFile(TempFile &other) = delete; + TempFile(TempFile &&other) = delete; + TempFile operator=(TempFile &other) = delete; + TempFile &operator=(TempFile &&other) = delete; + + ~TempFile(); + void AppendLine(const std::string &line); + + const std::string &GetPath() const { return path_; } + + private: + std::string path_ = "/tmp/XXXXXX"; + std::ofstream file_output_stream_; + int fd_; +}; diff --git a/src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc b/src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc new file mode 100644 index 000000000000..275a122e808f --- /dev/null +++ b/src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc @@ -0,0 +1,132 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" + +#include +#include +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/cgroup2/test/cgroup_test_utils.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +namespace ray { + +TEST(SysFsCgroupDriverTest, CheckCgroupv2EnabledFailsIfEmptyMountFile) { + TempFile temp_mount_file; + SysFsCgroupDriver driver(temp_mount_file.GetPath()); + Status s = driver.CheckCgroupv2Enabled(); + EXPECT_TRUE(s.IsInvalid()) << s.ToString(); +} + +TEST(SysFsCgroupDriverTest, CheckCgroupv2EnabledFailsIfMalformedMountFile) { + TempFile temp_mount_file; + temp_mount_file.AppendLine("cgroup /sys/fs/cgroup rw 0 0\n"); + temp_mount_file.AppendLine("cgroup2 /sys/fs/cgroup/unified/ rw 0 0\n"); + temp_mount_file.AppendLine("oopsie"); + SysFsCgroupDriver driver(temp_mount_file.GetPath()); + Status s = driver.CheckCgroupv2Enabled(); + EXPECT_TRUE(s.IsInvalid()) << s.ToString(); +} + +TEST(SysFsCgroupDriverTest, + CheckCgroupv2EnabledFailsIfCgroupv1MountedAndCgroupv2NotMounted) { + TempFile temp_mount_file; + temp_mount_file.AppendLine("cgroup /sys/fs/cgroup rw 0 0\n"); + SysFsCgroupDriver driver(temp_mount_file.GetPath()); + Status s = driver.CheckCgroupv2Enabled(); + ASSERT_TRUE(s.IsInvalid()) << s.ToString(); +} + +TEST(SysFsCgroupDriverTest, + CheckCgroupv2EnabledFailsIfCgroupv1MountedAndCgroupv2Mounted) { + TempFile temp_mount_file; + temp_mount_file.AppendLine("cgroup /sys/fs/cgroup rw 0 0\n"); + temp_mount_file.AppendLine("cgroup2 /sys/fs/cgroup/unified/ rw 0 0\n"); + SysFsCgroupDriver driver(temp_mount_file.GetPath()); + Status s = driver.CheckCgroupv2Enabled(); + ASSERT_TRUE(s.IsInvalid()) << s.ToString(); +} + +TEST(SysFsCgroupDriverTest, CheckCgroupv2EnabledSucceedsIfOnlyCgroupv2Mounted) { + TempFile temp_mount_file; + temp_mount_file.AppendLine("cgroup2 /sys/fs/cgroup rw 0 0\n"); + SysFsCgroupDriver driver(temp_mount_file.GetPath()); + Status s = driver.CheckCgroupv2Enabled(); + EXPECT_TRUE(s.ok()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, CheckCgroupFailsIfNotCgroupv2Path) { + // This is not a directory on the cgroupv2 vfs. + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup(temp_dir->GetPath()); + EXPECT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, CheckCgroupFailsIfCgroupDoesNotExist) { + // This is not a directory on the cgroupv2 vfs. + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup("/some/path/that/doesnt/exist"); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, GetAvailableControllersFailsIfNotCgroup2Path) { + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + std::filesystem::path controller_file_path = + std::filesystem::path(temp_dir->GetPath()) / + std::filesystem::path("cgroup.controllers"); + TempFile controller_file(controller_file_path); + controller_file.AppendLine("cpuset cpu io memory hugetlb pids rdma misc"); + SysFsCgroupDriver driver; + StatusOr> s = + driver.GetAvailableControllers(temp_dir->GetPath()); + EXPECT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, EnableControllerFailsIfNotCgroupv2Path) { + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.EnableController(temp_dir->GetPath(), "cpu"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, DisableControllerFailsIfNotCgroupv2Path) { + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.DisableController(temp_dir->GetPath(), "cpu"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, AddConstraintFailsIfNotCgroupv2Path) { + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.AddConstraint(temp_dir->GetPath(), "memory.min", "1"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +}; // namespace ray diff --git a/src/ray/common/status.cc b/src/ray/common/status.cc index 3e8f51261585..3500ddaf3b80 100644 --- a/src/ray/common/status.cc +++ b/src/ray/common/status.cc @@ -78,6 +78,7 @@ const absl::flat_hash_map kCodeToStr = { {StatusCode::InvalidArgument, "InvalidArgument"}, {StatusCode::ChannelError, "ChannelError"}, {StatusCode::ChannelTimeoutError, "ChannelTimeoutError"}, + {StatusCode::PermissionDenied, "PermissionDenied"}, }; const absl::flat_hash_map kStrToCode = []() { diff --git a/src/ray/common/status.h b/src/ray/common/status.h index 2c5c82a856cb..0ba9a37478ae 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -76,6 +76,8 @@ enum class StatusCode : char { IntentionalSystemExit = 14, UnexpectedSystemExit = 15, CreationTaskError = 16, + // Indicates that the caller request a resource that could not be found. A common + // example is that a request file does not exist. NotFound = 17, Disconnected = 18, SchedulingCancelled = 19, @@ -101,6 +103,9 @@ enum class StatusCode : char { ChannelError = 35, // Indicates that a read or write on a channel (a mutable plasma object) timed out. ChannelTimeoutError = 36, + // Indicates that the executing user does not have permissions to perform the + // requested operation. A common example is filesystem permissions. + PermissionDenied = 37, // If you add to this list, please also update kCodeToStr in status.cc. }; @@ -254,6 +259,10 @@ class RAY_EXPORT Status { return Status(StatusCode::ChannelTimeoutError, msg); } + static Status PermissionDenied(const std::string &msg) { + return Status(StatusCode::PermissionDenied, msg); + } + static StatusCode StringToCode(const std::string &str); // Returns true iff the status indicates success. @@ -303,6 +312,7 @@ class RAY_EXPORT Status { bool IsChannelError() const { return code() == StatusCode::ChannelError; } bool IsChannelTimeoutError() const { return code() == StatusCode::ChannelTimeoutError; } + bool IsPermissionDenied() const { return code() == StatusCode::PermissionDenied; } // Return a string representation of this status suitable for printing. // Returns the string "OK" for success. diff --git a/src/ray/common/status_or.h b/src/ray/common/status_or.h index 88eb99a7a386..991b03961df0 100644 --- a/src/ray/common/status_or.h +++ b/src/ray/common/status_or.h @@ -153,6 +153,12 @@ class StatusOr { std::string StatusString() const { return status_.StatusString(); } + std::string ToString() const { return status_.ToString(); } + + bool IsNotFound() const { return code() == StatusCode::NotFound; } + bool IsInvalidArgument() const { return code() == StatusCode::InvalidArgument; } + bool IsPermissionDenied() const { return code() == StatusCode::PermissionDenied; } + // Returns a reference to the current `ray::Status` contained within the // `ray::StatusOr`. If `ray::StatusOr` contains a `T`, then this // function returns `ray::Ok()`. From 8b8544aec251f0c57ebf8446cd293a411ceccf41 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Wed, 30 Jul 2025 17:18:36 -0700 Subject: [PATCH 0421/1566] [Core] Add the Default Option in the LabelSelectorOperator enum (#55058) When implementing the logic to send the cluster load to the autoscaler, we moved the label related to protobuf definition from `autoscaler.proto` to `common.proto`. And during the move, we accidentally remove the default option in the `LabelSelectorOperator` enum. This PR adds back the default option so that it won't break the implementation on the product side and this is also the best practices recommended by [here](https://protobuf.dev/best-practices/dos-donts/#unspecified-enum) ## Related issue number #51564 --------- Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- src/ray/common/scheduling/label_selector.h | 5 +++-- src/ray/protobuf/common.proto | 5 +++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/src/ray/common/scheduling/label_selector.h b/src/ray/common/scheduling/label_selector.h index 4f96e5cfc1f8..9fcff02089f8 100644 --- a/src/ray/common/scheduling/label_selector.h +++ b/src/ray/common/scheduling/label_selector.h @@ -24,10 +24,11 @@ namespace ray { enum class LabelSelectorOperator { + LABEL_OPERATOR_UNSPECIFIED = 0, // This is to support equality or in semantics. - LABEL_IN = 0, + LABEL_IN = 1, // This is to support not equal or not in semantics. - LABEL_NOT_IN = 1 + LABEL_NOT_IN = 2 }; // Defines requirements for a label key and value. diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index bd59d4d3732b..e277ddd93609 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -1028,10 +1028,11 @@ enum PlacementStrategy { // The type of operator to use for the label constraint. enum LabelSelectorOperator { + LABEL_OPERATOR_UNSPECIFIED = 0; // This is to support equality or in semantics. - LABEL_OPERATOR_IN = 0; + LABEL_OPERATOR_IN = 1; // This is to support not equal or not in semantics. - LABEL_OPERATOR_NOT_IN = 1; + LABEL_OPERATOR_NOT_IN = 2; } // A node label constraint with a key, one or a list of values and an operator. From 355527ab23250ee7c711c2036e54bef2a71cbe86 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 20:18:45 -0700 Subject: [PATCH 0422/1566] [ci] remove incorrect comments (#55079) the script has nothing to do with centos any more Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/build-wheel-macos.sh | 2 -- 1 file changed, 2 deletions(-) diff --git a/python/build-wheel-macos.sh b/python/build-wheel-macos.sh index 9bad985a46d0..9837a007f8eb 100755 --- a/python/build-wheel-macos.sh +++ b/python/build-wheel-macos.sh @@ -68,8 +68,6 @@ for ((i=0; i<${#PY_MMS[@]}; ++i)); do fi pushd python - # Setuptools on CentOS is too old to install arrow 0.9.0, therefore we upgrade. - # TODO: Unpin after https://github.com/pypa/setuptools/issues/2849 is fixed. $PIP_CMD install -q setuptools==80.9.0 cython==3.0.12 wheel # Set the commit SHA in _version.py. if [ -n "$TRAVIS_COMMIT" ]; then From 68b62a26867575056157f0d47a674605a0b299ed Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 30 Jul 2025 22:01:22 -0700 Subject: [PATCH 0423/1566] [deps] add more common cloud related dependencies (#55082) s3, azure, gcs, http, this makes it easier for ray job submit to work on those clouds Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements/cloud-requirements.txt | 2 + python/requirements_compiled.txt | 14 +++- ...quirements_compiled_ray_test_py311_cpu.txt | 71 +++++++++++++++++++ ...irements_compiled_ray_test_py311_cu121.txt | 71 +++++++++++++++++++ ...irements_compiled_ray_test_py311_cu128.txt | 71 +++++++++++++++++++ ...rements_compiled_rayllm_test_py311_cpu.txt | 71 +++++++++++++++++++ ...ments_compiled_rayllm_test_py311_cu121.txt | 71 +++++++++++++++++++ ...ments_compiled_rayllm_test_py311_cu128.txt | 71 +++++++++++++++++++ 8 files changed, 441 insertions(+), 1 deletion(-) diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index c89e70cef0db..2865270b4bb2 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -7,6 +7,8 @@ pyyaml pyopenssl certifi pycurl +azure-identity +smart_open[s3,gcs,azure,http] # Anyscale CLI requirements boto3>=1.26.76 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index f94e1a538b49..4e3bc4c8e814 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -155,13 +155,18 @@ azure-common==1.1.28 # azure-mgmt-compute # azure-mgmt-network # azure-mgmt-resource + # smart-open azure-core==1.29.5 # via # azure-identity # azure-mgmt-core + # azure-storage-blob # msrest + # smart-open azure-identity==1.17.1 - # via -r python/requirements/test-requirements.txt + # via + # -r python/requirements/cloud-requirements.txt + # -r python/requirements/test-requirements.txt azure-mgmt-compute==31.0.0 # via -r python/requirements/test-requirements.txt azure-mgmt-core==1.4.0 @@ -174,6 +179,8 @@ azure-mgmt-network==25.4.0 # via -r python/requirements/test-requirements.txt azure-mgmt-resource==23.1.1 # via -r python/requirements/test-requirements.txt +azure-storage-blob==12.22.0 + # via smart-open babel==2.13.1 # via # jupyterlab-server @@ -355,6 +362,7 @@ cryptography==44.0.3 ; sys_platform != "darwin" # aim # azure-cli-core # azure-identity + # azure-storage-blob # moto # msal # paramiko @@ -627,6 +635,7 @@ google-cloud-storage==2.14.0 # via # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt + # smart-open google-crc32c==1.5.0 # via # google-cloud-storage @@ -815,6 +824,7 @@ isodate==0.6.1 # azure-mgmt-compute # azure-mgmt-network # azure-mgmt-resource + # azure-storage-blob # msrest isoduration==20.11.0 # via jsonschema @@ -1856,6 +1866,7 @@ requests==2.32.3 # responses # segment-analytics-python # semgrep + # smart-open # snowflake-connector-python # sphinx # tensorboard @@ -2339,6 +2350,7 @@ typing-extensions==4.12.2 # aws-sam-translator # azure-core # azure-identity + # azure-storage-blob # bokeh # configspace # etils diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index ad6345daa3d9..d8bae7252f61 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -194,6 +194,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -224,6 +250,7 @@ boto3==1.26.76 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -471,6 +498,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -830,6 +861,7 @@ google-cloud-storage==2.14.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1061,6 +1093,12 @@ ipywidgets==8.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1452,6 +1490,19 @@ mistune==0.8.4 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -1929,6 +1980,12 @@ pluggy==1.3.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -2346,6 +2403,12 @@ pygments==2.18.0 \ # ipython # nbconvert # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 @@ -2569,9 +2632,12 @@ requests==2.32.3 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # jupyterlab-server + # msal + # smart-open rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -2792,8 +2858,10 @@ six==1.16.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -2972,6 +3040,9 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # opentelemetry-api diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index a82e00a648d1..ab15c20d3ec4 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -194,6 +194,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -224,6 +250,7 @@ boto3==1.26.76 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -471,6 +498,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -830,6 +861,7 @@ google-cloud-storage==2.14.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1061,6 +1093,12 @@ ipywidgets==8.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1452,6 +1490,19 @@ mistune==0.8.4 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -1929,6 +1980,12 @@ pluggy==1.3.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -2346,6 +2403,12 @@ pygments==2.18.0 \ # ipython # nbconvert # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 @@ -2569,9 +2632,12 @@ requests==2.32.3 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # jupyterlab-server + # msal + # smart-open rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -2792,8 +2858,10 @@ six==1.16.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -2972,6 +3040,9 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # opentelemetry-api diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 1f432a92a17e..ff57573edfbe 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -194,6 +194,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -224,6 +250,7 @@ boto3==1.26.76 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -471,6 +498,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -830,6 +861,7 @@ google-cloud-storage==2.14.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1061,6 +1093,12 @@ ipywidgets==8.1.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1452,6 +1490,19 @@ mistune==0.8.4 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -1929,6 +1980,12 @@ pluggy==1.3.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -2346,6 +2403,12 @@ pygments==2.18.0 \ # ipython # nbconvert # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # msal pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 @@ -2569,9 +2632,12 @@ requests==2.32.3 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # jupyterlab-server + # msal + # smart-open rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa @@ -2792,8 +2858,10 @@ six==1.16.0 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -2972,6 +3040,9 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # opentelemetry-api diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index b4e68ceeb4be..2fb3fc8c9ee9 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -210,6 +210,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -332,6 +358,7 @@ boto3==1.26.76 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -590,6 +617,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -998,6 +1029,7 @@ google-cloud-storage==2.14.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1343,6 +1375,12 @@ ipywidgets==8.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1925,6 +1963,19 @@ mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via sympy +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -2563,6 +2614,12 @@ pluggy==1.3.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -3154,6 +3211,12 @@ pygments==2.18.0 \ # nbconvert # rich # sphinx +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ --hash=sha256:fdff84b62a27dbe98e08e1a647eb77342bef1aebe0878bcd15e99a83fcbecb9e @@ -3500,13 +3563,16 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # huggingface-hub # jupyterlab-server # mistral-common + # msal # outlines # ray + # smart-open # sphinx # tiktoken # transformers @@ -3808,8 +3874,10 @@ six==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -4167,6 +4235,9 @@ typing-extensions==4.12.2 \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # huggingface-hub diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index c53910d22e9e..dd99ea0fcaa9 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -210,6 +210,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -332,6 +358,7 @@ boto3==1.26.76 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -590,6 +617,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -998,6 +1029,7 @@ google-cloud-storage==2.14.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1343,6 +1375,12 @@ ipywidgets==8.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1925,6 +1963,19 @@ mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via sympy +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -2654,6 +2705,12 @@ pluggy==1.3.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -3245,6 +3302,12 @@ pygments==2.18.0 \ # nbconvert # rich # sphinx +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ --hash=sha256:fdff84b62a27dbe98e08e1a647eb77342bef1aebe0878bcd15e99a83fcbecb9e @@ -3591,13 +3654,16 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # huggingface-hub # jupyterlab-server # mistral-common + # msal # outlines # ray + # smart-open # sphinx # tiktoken # transformers @@ -3899,8 +3965,10 @@ six==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -4278,6 +4346,9 @@ typing-extensions==4.12.2 \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # huggingface-hub diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index b4a5e79e2c29..8efe739855f3 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -210,6 +210,32 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-identity + # azure-storage-blob + # smart-open +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -r python/requirements/cloud-requirements.txt +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed @@ -332,6 +358,7 @@ boto3==1.26.76 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt + # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 @@ -589,6 +616,10 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-identity + # azure-storage-blob + # msal + # pyjwt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -997,6 +1028,7 @@ google-cloud-storage==2.14.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt + # smart-open google-crc32c==1.5.0 \ --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ @@ -1342,6 +1374,12 @@ ipywidgets==8.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 @@ -1889,6 +1927,19 @@ mistune==0.8.4 \ mpmath==1.3.0 \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via sympy +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ @@ -2577,6 +2628,12 @@ pluggy==1.3.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 @@ -3168,6 +3225,12 @@ pygments==2.18.0 \ # nbconvert # rich # sphinx +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ --hash=sha256:fdff84b62a27dbe98e08e1a647eb77342bef1aebe0878bcd15e99a83fcbecb9e @@ -3514,13 +3577,16 @@ requests==2.32.3 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # azure-core # google-api-core # google-cloud-storage # huggingface-hub # jupyterlab-server # mistral-common + # msal # outlines # ray + # smart-open # sphinx # tiktoken # transformers @@ -3822,8 +3888,10 @@ six==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt # asttokens + # azure-core # bleach # halo + # isodate # oauth2client # opencensus # python-dateutil @@ -4170,6 +4238,9 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via # -c python/requirements_compiled_ray_test_py311_cu128.txt + # azure-core + # azure-identity + # azure-storage-blob # fastapi # gymnasium # huggingface-hub From 5dea0052e36bdfafeb7dbe7573bdb027a79ac5a2 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Wed, 30 Jul 2025 22:50:27 -0700 Subject: [PATCH 0424/1566] [train] remove core automl for time series example (#55085) Removes the AutoML for time series example from the documentation. 1. The source dataset stopped working. 2. As mentioned in the removed example, users should use Ray Tune for AutoML functionality instead. See [this example](https://github.com/ray-project/ray/tree/master/doc/source/templates/02_many_model_training). --------- Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 18 - .../examples/automl_for_time_series.ipynb | 522 ------------------ doc/source/ray-core/examples/overview.rst | 1 - doc/source/ray-overview/use-cases.rst | 1 - 4 files changed, 542 deletions(-) delete mode 100644 doc/source/ray-core/examples/automl_for_time_series.ipynb diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index b22d46d1e5f2..8e0cf7adde4e 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -43,24 +43,6 @@ py_test( ], ) -py_test( - name = "automl_for_time_series", - size = "medium", - srcs = ["test_myst_doc.py"], - args = [ - "--path", - "doc/source/ray-core/examples/automl_for_time_series.ipynb", - ], - data = ["//doc/source/ray-core/examples:core_examples"], - main = "test_myst_doc.py", - tags = [ - "exclusive", - "team:ml", - "timeseries_libs", - "manual", # TODO(ray-train): fix this doc test. - ], -) - py_test( name = "batch_prediction", size = "medium", diff --git a/doc/source/ray-core/examples/automl_for_time_series.ipynb b/doc/source/ray-core/examples/automl_for_time_series.ipynb deleted file mode 100644 index 9e9c08631e86..000000000000 --- a/doc/source/ray-core/examples/automl_for_time_series.ipynb +++ /dev/null @@ -1,522 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple AutoML for time series with Ray Core\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```{tip}\n", - "We strongly recommend using [Ray Tune](tune-main) for hyperparameter tuning/AutoML, which will enable you to build it faster and more easily, and get the built-in benefits like logging, fault tolerance and many more. If you think your use case cannot be supported by Ray Tune, we'd love to get your feedback e.g. through a [Ray GitHub issue](https://github.com/ray-project/ray/issues).\n", - "```\n", - "\n", - "AutoML (Automatic Machine Learning) is a broad topic, but in essence, it boils down to choosing the best model (and possibly preprocessing) for the task and dataset at hand. While there exist multiple advanced AutoML frameworks, we can quickly build a simple solution using just Ray Core and stateless tasks.\n", - "\n", - "If you are interested in applying more advanced optimization algorithms or would like to take advantage of a greater level of abstraction and multiple built-in features, we highly recommend to use [Ray Tune's Tuner](tune-60-seconds).\n", - "\n", - "In this notebook, we will build an AutoML (or more precisely, an AutoTS) system which will choose the best combination of a [statsforecast](https://github.com/Nixtla/statsforecast) model and hyperparameters for a time series regression task - here, we will be using a partition of the [M5 dataset](https://www.kaggle.com/c/m5-forecasting-accuracy)." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Simple AutoML consists of running different functions (hyperparameter configurations) on the same data independently of each other. We will want to train models with different configurations and evaluate them to obtain various metrics, such as mean square error. After all configurations have been evaluated, we will be able to choose the best configuration according to the metric we want to use.\n", - "\n", - "![AutoML](./images/automl.svg)\n", - "\n", - "To make this example more practical, we will be using [time series cross-validation (CV)](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) as our evaluation strategy. Cross-validation works by evaluating a model k-times, each time choosing a different subset (fold) of the data for training and evaluation. This allows for more robust estimation of performance and helps prevent overfitting, especially with small data. In other words, we will be running n * k separate evaluations, where n is the number of configurations and k is the number of folds." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Walkthrough\n", - "\n", - "Let’s start by importing Ray and initializing a local Ray cluster." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from typing import List, Union, Callable, Dict, Type, Tuple\n", - "import time\n", - "import ray\n", - "import itertools\n", - "import pandas as pd\n", - "import numpy as np\n", - "from collections import defaultdict\n", - "from statsforecast import StatsForecast\n", - "from statsforecast.models import AutoETS, AutoARIMA, _TS\n", - "from pyarrow import parquet as pq\n", - "from sklearn.model_selection import TimeSeriesSplit\n", - "from sklearn.metrics import mean_squared_error, mean_absolute_error" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ray.init(ignore_reinit_error=True)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will break up our logic into several functions and a Ray [task](ray-remote-functions).\n", - "\n", - "The Ray task is `train_and_evaluate_fold`, which contains all the logic necessary to fit and evaluate a model on a CV fold of data. We structure our task to take in a dataset and indices splitting it into train and test - that way, we can keep one instance of the dataset in the Ray object store and split it in each task separately. We are defining this as a Ray task as we want all folds to be evaluated in parallel on a Ray cluster - Ray will handle all orchestration and execution. Each task will reserve 1 CPU core by default." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "@ray.remote\n", - "def train_and_evaluate_fold(\n", - " model: _TS,\n", - " df: pd.DataFrame,\n", - " train_indices: np.ndarray,\n", - " test_indices: np.ndarray,\n", - " label_column: str,\n", - " metrics: Dict[str, Callable[[pd.Series, pd.Series], float]],\n", - " freq: str = \"D\",\n", - ") -> Dict[str, float]:\n", - " try:\n", - " # Create the StatsForecast object with train data & model.\n", - " statsforecast = StatsForecast(models=[model], freq=freq)\n", - " # Make a forecast and calculate metrics on test data.\n", - " # This will fit the model first automatically.\n", - " forecast = statsforecast.forecast(h=len(test_indices), df=df.iloc[train_indices])\n", - " return {\n", - " metric_name: metric(\n", - " df.iloc[test_indices][label_column], forecast[model.__class__.__name__]\n", - " )\n", - " for metric_name, metric in metrics.items()\n", - " }\n", - " except Exception as ex:\n", - " print(f\"Exception generating forecast for model {model}: {ex}\")\n", - " # In case the model fit or eval fails, return None for all metrics.\n", - " return {metric_name: None for metric_name, metric in metrics.items()}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`evaluate_models_with_cv` is a driver function to run our optimization loop. We take in a list of models (with their parameters already set) and the dataframe.\n", - "\n", - "The dataframe is put into the Ray object store and reused, which means we only need to serialize it once. That way, we avoid an {ref}`ray-pass-large-arg-by-value`.\n", - "\n", - "We treat the fitting of each fold as a separate task. We generate k-tasks for each model and wait for them to complete by calling `ray.get()`, which blocks until all tasks finish and the results are collected. We then aggregate the returned metrics to calculate mean metrics from each fold for each model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def evaluate_models_with_cv(\n", - " models: List[_TS],\n", - " df: pd.DataFrame,\n", - " label_column: str,\n", - " metrics: Dict[str, Callable[[pd.Series, pd.Series], float]],\n", - " freq: str = \"D\",\n", - " cv: Union[int, TimeSeriesSplit] = 5,\n", - ") -> Dict[_TS, Dict[str, float]]:\n", - " # Obtain CV train-test indices for each fold.\n", - " if isinstance(cv, int):\n", - " cv = TimeSeriesSplit(cv)\n", - " train_test_indices = list(cv.split(df))\n", - "\n", - " # Put df into Ray object store for better performance.\n", - " df_ref = ray.put(df)\n", - "\n", - " # Add tasks to be executed for each fold.\n", - " fold_refs = []\n", - " for model in models:\n", - " fold_refs.extend(\n", - " [\n", - " train_and_evaluate_fold.remote(\n", - " model,\n", - " df_ref,\n", - " train_indices,\n", - " test_indices,\n", - " label_column,\n", - " metrics,\n", - " freq=freq,\n", - " )\n", - " for train_indices, test_indices in train_test_indices\n", - " ]\n", - " )\n", - "\n", - " # wait on all tasks\n", - " fold_results = []\n", - " while fold_refs:\n", - " ready_refs, fold_refs = ray.wait(fold_refs)\n", - " fold_results.extend(ray.get(ready_refs))\n", - "\n", - " # Split fold results into a list of CV splits-sized chunks.\n", - " # Ray guarantees that order is preserved.\n", - " fold_results_per_model = [\n", - " fold_results[i : i + len(train_test_indices)]\n", - " for i in range(0, len(fold_results), len(train_test_indices))\n", - " ]\n", - "\n", - " # Aggregate and average results from all folds per model.\n", - " # We go from a list of dicts to a dict of lists and then\n", - " # get a mean of those lists.\n", - " mean_results_per_model = []\n", - " for model_results in fold_results_per_model:\n", - " aggregated_results = defaultdict(list)\n", - " for fold_result in model_results:\n", - " for metric, value in fold_result.items():\n", - " aggregated_results[metric].append(value)\n", - " mean_results = {\n", - " metric: np.mean(values) for metric, values in aggregated_results.items()\n", - " }\n", - " mean_results_per_model.append(mean_results)\n", - "\n", - " # Join models and their metrics together.\n", - " mean_results_per_model = {\n", - " models[i]: mean_results_per_model[i] for i in range(len(mean_results_per_model))\n", - " }\n", - " return mean_results_per_model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we have to define the logic to translate a dictionary search space into instantiated models we can pass to `evaluate_models_with_cv`.\n", - "\n", - "```{note}\n", - "scikit-learn and statsforecast models can be easily serialized and are very small, meaning instantiated models can be easily passed around the Ray cluster. With other frameworks, such as Torch, you may want to instead instantiate the model in the task that fits it in order to avoid issues.\n", - "```\n", - "\n", - "Our `generate_configurations` generator translates a two-level dictionary, where the keys are the model classes and the values are dictionaries of arguments and lists of their possible values. We want to run a grid search, meaning we want to evaluate every possible hyperparameter combination for the given models.\n", - "\n", - "The search space we will be using later looks like this:\n", - "```python\n", - "{\n", - " AutoARIMA: {},\n", - " AutoETS: {\n", - " \"season_length\": [6, 7],\n", - " \"model\": [\"ZNA\", \"ZZZ\"]\n", - " }\n", - "}\n", - "```\n", - "\n", - "It will translate to the following models:\n", - "```python\n", - "AutoARIMA(),\n", - "AutoETS(season_length=6, model=\"ZNA\")\n", - "AutoETS(season_length=7, model=\"ZNA\")\n", - "AutoETS(season_length=6, model=\"ZZZ\")\n", - "AutoETS(season_length=7, model=\"ZZZ\")\n", - "```\n", - "\n", - "`evaluate_search_space_with_cv` is the entry point for our AutoML system, which takes in the search space, dataframe, label column, metrics, the metric to use to choose the best configuration, whether we want to minimize or maximize it, the frequency of the data and the scikit-learn `TimeSeriesSplit` cross-validation splitter to use." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def generate_configurations(search_space: Dict[Type[_TS], Dict[str, list]]) -> _TS:\n", - " # Convert dict search space into configurations - models instantiated with specific arguments.\n", - " for model, model_search_space in search_space.items():\n", - " kwargs, values = model_search_space.keys(), model_search_space.values()\n", - " # Get a product - all combinations in the per-model grid.\n", - " for configuration in itertools.product(*values):\n", - " yield model(**dict(zip(kwargs, configuration)))\n", - "\n", - "\n", - "def evaluate_search_space_with_cv(\n", - " search_space: Dict[Type[_TS], Dict[str, list]],\n", - " df: pd.DataFrame,\n", - " label_column: str,\n", - " metrics: Dict[str, Callable[[pd.Series, pd.Series], float]],\n", - " eval_metric: str,\n", - " mode: str = \"min\",\n", - " freq: str = \"D\",\n", - " cv: Union[int, TimeSeriesSplit] = 5,\n", - ") -> List[Tuple[_TS, Dict[str, float]]]:\n", - " assert eval_metric in metrics\n", - " assert mode in (\"min\", \"max\")\n", - "\n", - " configurations = list(generate_configurations(search_space))\n", - " print(\n", - " f\"Evaluating {len(configurations)} configurations with {cv.get_n_splits()} splits each, \"\n", - " f\"totalling {len(configurations)*cv.get_n_splits()} tasks...\"\n", - " )\n", - " ret = evaluate_models_with_cv(\n", - " configurations, df, label_column, metrics, freq=freq, cv=cv\n", - " )\n", - "\n", - " # Sort the results by eval_metric\n", - " ret = sorted(ret.items(), key=lambda x: x[1][eval_metric], reverse=(mode == \"max\"))\n", - " print(\"Evaluation complete!\")\n", - " return ret" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With our system complete, we just need a quick helper function to obtain the data from an S3 bucket and preprocess it to the format statsforecast expects. As the dataset is quite large, we use PyArrow's push-down predicate as a filter to obtain just the rows we care about without having to load them all into memory." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def get_m5_partition(unique_id: str) -> pd.DataFrame:\n", - " ds1 = pq.read_table(\n", - " \"s3://anonymous@m5-benchmarks/data/train/target.parquet\",\n", - " filters=[(\"item_id\", \"=\", unique_id)],\n", - " )\n", - " Y_df = ds1.to_pandas()\n", - " # StatsForecasts expects specific column names!\n", - " Y_df = Y_df.rename(\n", - " columns={\"item_id\": \"unique_id\", \"timestamp\": \"ds\", \"demand\": \"y\"}\n", - " )\n", - " Y_df[\"unique_id\"] = Y_df[\"unique_id\"].astype(str)\n", - " Y_df[\"ds\"] = pd.to_datetime(Y_df[\"ds\"])\n", - " Y_df = Y_df.dropna()\n", - " constant = 10\n", - " Y_df[\"y\"] += constant\n", - " return Y_df[Y_df.unique_id == unique_id]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    ............
    1936FOODS_1_001_CA_12016-05-1810.0
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    \n", - "

    1941 rows × 3 columns

    \n", - "
    " - ], - "text/plain": [ - " unique_id ds y\n", - "0 FOODS_1_001_CA_1 2011-01-29 13.0\n", - "1 FOODS_1_001_CA_1 2011-01-30 10.0\n", - "2 FOODS_1_001_CA_1 2011-01-31 10.0\n", - "3 FOODS_1_001_CA_1 2011-02-01 11.0\n", - "4 FOODS_1_001_CA_1 2011-02-02 14.0\n", - "... ... ... ...\n", - "1936 FOODS_1_001_CA_1 2016-05-18 10.0\n", - "1937 FOODS_1_001_CA_1 2016-05-19 11.0\n", - "1938 FOODS_1_001_CA_1 2016-05-20 10.0\n", - "1939 FOODS_1_001_CA_1 2016-05-21 10.0\n", - "1940 FOODS_1_001_CA_1 2016-05-22 10.0\n", - "\n", - "[1941 rows x 3 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = get_m5_partition(\"FOODS_1_001_CA_1\")\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now run our AutoML system with our search space and obtain the best model with its configuration. We will be using scikit-learn implementations of mean squared error (MSE) and mean absolute error (MAE) as metrics, with the former being what we want to optimize for." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "tuning_results = evaluate_search_space_with_cv(\n", - " {AutoARIMA: {}, AutoETS: {\"season_length\": [6, 7], \"model\": [\"ZNA\", \"ZZZ\"]}},\n", - " df,\n", - " \"y\",\n", - " {\"mse\": mean_squared_error, \"mae\": mean_absolute_error},\n", - " \"mse\",\n", - " cv=TimeSeriesSplit(test_size=1),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can see that the model that minimizes MSE the most from our search space is a ZNA AutoETS model with a season length of 6." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(tuning_results[0])\n", - "\n", - "# Print arguments of the model:\n", - "print(tuning_results[0][0].__dict__)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.10 ('venv': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "3c0d54d489a08ae47a06eae2fd00ff032d6cddb527c382959b7b2575f6a8167f" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/doc/source/ray-core/examples/overview.rst b/doc/source/ray-core/examples/overview.rst index 5803eaa39a1d..d04c2b55bf39 100644 --- a/doc/source/ray-core/examples/overview.rst +++ b/doc/source/ray-core/examples/overview.rst @@ -38,7 +38,6 @@ Advanced .. list-table:: - * - :doc:`Build Simple AutoML for Time Series Using Ray ` * - :doc:`Build Batch Prediction Using Ray ` * - :doc:`Build a Simple Parameter Server Using Ray ` * - :doc:`Simple Parallel Model Selection ` diff --git a/doc/source/ray-overview/use-cases.rst b/doc/source/ray-overview/use-cases.rst index 3149f6cf8e51..69add0c9ef34 100644 --- a/doc/source/ray-overview/use-cases.rst +++ b/doc/source/ray-overview/use-cases.rst @@ -172,7 +172,6 @@ The following highlights examples utilizing Ray AI libraries to implement end-to - :doc:`[Example] Text classification with Ray ` - :doc:`[Example] Object detection with Ray ` - :doc:`[Example] Machine learning on tabular data ` -- :doc:`[Example] AutoML for Time Series with Ray ` Large Scale Workload Orchestration ---------------------------------- From 4c3614e9bd3caf34eede3dc78f4ee7e810f6e013 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Wed, 30 Jul 2025 23:01:36 -0700 Subject: [PATCH 0425/1566] [Train] fail fast if pg can never be met (#54402) Before waiting for the placement group to be ready, we check the cluster info to see if this placement group can be met. If not, we directly throw `WorkerGroupStartupFailedError`. This will be wrapped by [ControllerError](https://github.com/ray-project/ray/blob/3e44daaaf522d476ab75e955ca7f49ae3ffe082f/python/ray/train/v2/api/exceptions.py#L27) and be raised. --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- python/ray/train/v2/_internal/exceptions.py | 8 ++ .../execution/worker_group/worker_group.py | 35 +++++ .../ray/train/v2/tests/test_worker_group.py | 128 ++++++++++++++++++ 3 files changed, 171 insertions(+) diff --git a/python/ray/train/v2/_internal/exceptions.py b/python/ray/train/v2/_internal/exceptions.py index a3bb2c4ae48e..4d5d62718b5d 100644 --- a/python/ray/train/v2/_internal/exceptions.py +++ b/python/ray/train/v2/_internal/exceptions.py @@ -86,6 +86,14 @@ class WorkerGroupStartupFailedError(RayTrainError): """ +class InsufficientClusterResourcesError(RayTrainError): + """Exception raised when the cluster has insufficient resources. + + Example scenario: A worker that requires 1 GPU is scheduled onto a cluster + that only has CPU worker node types. + """ + + class CheckpointManagerInitializationError(RayTrainError): """Exception raised when the checkpoint manager fails to initialize from a snapshot. diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index e707c77b7d2f..8931145ecdbb 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -7,6 +7,7 @@ import ray from ray._private.ray_constants import env_float +from ray._private.state import state as ray_state from ray.actor import ActorHandle from ray.exceptions import GetTimeoutError, RayActorError from ray.runtime_env import RuntimeEnv @@ -22,6 +23,7 @@ get_env_vars_to_propagate, ) from ray.train.v2._internal.exceptions import ( + InsufficientClusterResourcesError, WorkerGroupStartupFailedError, WorkerGroupStartupTimeoutError, WorkerHealthCheckFailedError, @@ -207,6 +209,34 @@ def _start( assert self.has_started(), "Worker group failed to start." + @staticmethod + def _check_cluster_resources_and_raise_if_insufficient( + resources_per_worker: Dict[str, float], num_workers: int + ) -> None: + """Check if the cluster has enough resources before waiting for placement group. + + Args: + resources_per_worker: The resources per worker. + num_workers: The number of workers. + """ + max_cluster_resources = ray_state.get_max_resources_from_cluster_config() + if not max_cluster_resources: + return + + for ( + resource_name, + required_amount, + ) in resources_per_worker.items(): + total_required_amount = required_amount * num_workers + available_amount = max_cluster_resources.get(resource_name, 0) + if total_required_amount > available_amount: + error_msg = ( + "Insufficient cluster resources to launch training workers.\n" + f'The worker group requires {{"{resource_name}": {total_required_amount}}} but the cluster only has a maximum of {{"{resource_name}": {available_amount}}} resources.\n' + "Please reduce `num_workers`, lower resource requirements, or increase the cluster size." + ) + raise InsufficientClusterResourcesError(error_msg) + def _start_impl( self, worker_group_state_builder: WorkerGroupStateBuilder, @@ -224,6 +254,11 @@ def _start_impl( self._assert_inactive() worker_group_context = self._worker_group_context + WorkerGroup._check_cluster_resources_and_raise_if_insufficient( + worker_group_context.resources_per_worker, + worker_group_context.num_workers, + ) + # TODO: Review the order of `on_xyz_start` and `after_xyz_start` callbacks. # The current execution order is as follows:`on_worker_group_start` callbacks # are triggered before the `after_worker_group_start` callbacks. diff --git a/python/ray/train/v2/tests/test_worker_group.py b/python/ray/train/v2/tests/test_worker_group.py index be22a78ea89f..4146cdd763aa 100644 --- a/python/ray/train/v2/tests/test_worker_group.py +++ b/python/ray/train/v2/tests/test_worker_group.py @@ -5,6 +5,7 @@ import pytest import ray +from ray._private.state import state as ray_state from ray.exceptions import RayActorError from ray.runtime_env import RuntimeEnv from ray.train.v2._internal.constants import ( @@ -13,6 +14,7 @@ WORKER_HEALTH_CHECK_TIMEOUT_S_ENV_VAR, ) from ray.train.v2._internal.exceptions import ( + InsufficientClusterResourcesError, WorkerGroupStartupFailedError, WorkerGroupStartupTimeoutError, WorkerHealthCheckFailedError, @@ -163,6 +165,32 @@ def hanging_task(*args, **kwargs): wg._start() +def test_insufficient_cluster_resources_startup_failure(monkeypatch): + """Test that WorkerGroup startup fails when cluster has insufficient resources. + + This test mocks the cluster resources to match the test environment and + verifies that the resource check properly catches insufficient resources. + """ + # Mock the cluster resources to return the test cluster configuration (4 CPUs) + monkeypatch.setattr( + ray_state, "get_max_resources_from_cluster_config", lambda: {"CPU": 4.0} + ) + + # The test cluster has 4 CPUs, so requesting 8 workers with 1 CPU each should fail + worker_group_context = _default_worker_group_context( + num_workers=8, # More workers than available CPUs + resources_per_worker={"CPU": 1.0}, + ) + + wg = _default_inactive_worker_group(worker_group_context=worker_group_context) + + # This should fail during startup due to insufficient resources + with pytest.raises( + InsufficientClusterResourcesError, match="Insufficient cluster resources" + ): + wg._start() + + def test_poll_status_running(): worker_group_context = _default_worker_group_context( train_fn_ref=DummyObjectRefWrapper(lambda: time.sleep(60)), @@ -536,6 +564,106 @@ def conditional_failure(): # If more tests are added below this, they may not be able to run. +def test_check_cluster_resources_and_raise_if_insufficient(monkeypatch): + """Test _check_cluster_resources_and_raise_if_insufficient static method.""" + + def _assert_resource_check( + available_resources, resources_per_worker, num_workers, should_raise + ): + """Helper to test resource checking with different scenarios.""" + monkeypatch.setattr( + ray_state, + "get_max_resources_from_cluster_config", + lambda: available_resources, + ) + + if should_raise: + with pytest.raises( + InsufficientClusterResourcesError, + match="Insufficient cluster resources", + ): + WorkerGroup._check_cluster_resources_and_raise_if_insufficient( + resources_per_worker=resources_per_worker, num_workers=num_workers + ) + else: + # Should not raise + WorkerGroup._check_cluster_resources_and_raise_if_insufficient( + resources_per_worker=resources_per_worker, num_workers=num_workers + ) + + # Test case 1: Sufficient resources - should not raise + _assert_resource_check( + available_resources={"CPU": 8.0, "GPU": 4.0}, + resources_per_worker={"CPU": 1.0, "GPU": 0.5}, + num_workers=4, + should_raise=False, + ) + + # Test case 2: Insufficient CPU resources - should raise + _assert_resource_check( + available_resources={"CPU": 8.0, "GPU": 4.0}, + resources_per_worker={"CPU": 3.0}, + num_workers=4, # Requires 12 CPU but only 8 available + should_raise=True, + ) + + # Test case 3: Insufficient GPU resources - should raise + _assert_resource_check( + available_resources={"CPU": 8.0, "GPU": 4.0}, + resources_per_worker={"GPU": 2.0}, + num_workers=3, # Requires 6 GPU but only 4 available + should_raise=True, + ) + + # Test case 4: Missing resource type in cluster - should raise + _assert_resource_check( + available_resources={"CPU": 8.0, "GPU": 4.0}, + resources_per_worker={"TPU": 1.0}, + num_workers=1, # TPU not available in cluster + should_raise=True, + ) + + # Test case 5: Resource available but zero - should raise + _assert_resource_check( + available_resources={"CPU": 8.0, "GPU": 0}, + resources_per_worker={"GPU": 1.0}, + num_workers=1, + should_raise=True, + ) + + # Test case 6: Empty cluster resources - should not raise + _assert_resource_check( + available_resources={}, + resources_per_worker={"CPU": 1.0}, + num_workers=2, + should_raise=False, + ) + + # Test case 7: None cluster resources - should not raise + _assert_resource_check( + available_resources=None, + resources_per_worker={"CPU": 1.0}, + num_workers=2, + should_raise=False, + ) + + # Test case 8: Edge case with zero resources - should not raise + _assert_resource_check( + available_resources={"CPU": 4.0}, + resources_per_worker={"CPU": 0.0}, + num_workers=10, + should_raise=False, + ) + + # Test case 9: Exact resource match - should not raise + _assert_resource_check( + available_resources={"CPU": 4.0}, + resources_per_worker={"CPU": 1.0}, + num_workers=4, # Exactly matches 4.0 CPU available + should_raise=False, + ) + + if __name__ == "__main__": import sys From aa6009ef11cc404a8ec4796c03c2d1c5c24ccc6b Mon Sep 17 00:00:00 2001 From: Emanuele Petriglia Date: Thu, 31 Jul 2025 09:09:10 +0200 Subject: [PATCH 0426/1566] [RLlib] Add missing colon to CUBLAS_WORKSPACE_CONFIG (#53913) ## Why are these changes needed? The CUBLAS_WORKSPACE_CONFIG environment variable requires a colon at the start, as written in the official cuBLAS documentation. See https://docs.nvidia.com/cuda/cublas/index.html#results-reproducibility. ## Related issue number Closes #47690. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( Signed-off-by: Emanuele Petriglia Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/utils/torch_utils.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rllib/utils/torch_utils.py b/rllib/utils/torch_utils.py index 96a0b44ba3d5..c77bf9a8db4f 100644 --- a/rllib/utils/torch_utils.py +++ b/rllib/utils/torch_utils.py @@ -717,7 +717,8 @@ def set_torch_seed(seed: Optional[int] = None) -> None: # See https://github.com/pytorch/pytorch/issues/47672. cuda_version = torch.version.cuda if cuda_version is not None and float(torch.version.cuda) >= 10.2: - os.environ["CUBLAS_WORKSPACE_CONFIG"] = "4096:8" + # See https://docs.nvidia.com/cuda/cublas/index.html#results-reproducibility. + os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) # if using multi-GPU else: From 301b17df60e4939d1515b5ef1a2183479f2c433d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 31 Jul 2025 00:44:22 -0700 Subject: [PATCH 0427/1566] [wheel] remove zip dependency (#55083) many machines, especially windows ones, do not have zip pre-installed currently. uses python3's builtin library to build the zip instead. fixes wheel building on windows. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 17 ++++++----------- bazel/BUILD | 4 ---- bazel/BUILD.bazel | 12 ++++++++++++ bazel/pyzip.py | 45 +++++++++++++++++++++++++++++++++++++++++++++ 4 files changed, 63 insertions(+), 15 deletions(-) delete mode 100644 bazel/BUILD create mode 100644 bazel/BUILD.bazel create mode 100644 bazel/pyzip.py diff --git a/BUILD.bazel b/BUILD.bazel index 70eae106b884..d0370b5f6fa0 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -1050,13 +1050,13 @@ pkg_files( name = "raylet_so_files", srcs = ["python/ray/_raylet.so"], attributes = pkg_attributes(mode = "755"), + prefix = "ray/", renames = select({ "@platforms//os:windows": { - "python/ray/_raylet.so": "python/ray/_raylet.pyd", + "python/ray/_raylet.so": "_raylet.pyd", }, "//conditions:default": {}, }), - strip_prefix = "python", visibility = ["//visibility:private"], ) @@ -1170,16 +1170,11 @@ genrule( sed -i -E 's/from opencensus.proto.metrics.v1 import/from . import/' "$${files[@]}" sed -i -E 's/from opencensus.proto.resource.v1 import/from . import/' "$${files[@]}" - # Set the modification time to 2025-01-01 00:00:00 - # This makes the zip file building deterministic and reproducible. - touch -t 202501010000 "$${files[@]}" - touch -t 202501010000 "$$tmpdir"/ray/ \ - "$$tmpdir"/ray/core "$$tmpdir"/ray/core/generated \ - "$$tmpdir"/ray/serve "$$tmpdir"/ray/serve/generated - - (cd "$$tmpdir"; zip -0 -X -r output.zip ray) - mv "$$tmpdir/output.zip" $@ + $(location //bazel:pyzip) "$$tmpdir" $@ """, + tools = [ + "//bazel:pyzip", + ], visibility = ["//visibility:private"], ) diff --git a/bazel/BUILD b/bazel/BUILD deleted file mode 100644 index 760c13251e00..000000000000 --- a/bazel/BUILD +++ /dev/null @@ -1,4 +0,0 @@ -exports_files([ - "pytest_wrapper.py", - "default_doctest_pytest_plugin.py", -]) diff --git a/bazel/BUILD.bazel b/bazel/BUILD.bazel new file mode 100644 index 000000000000..45b4adaf89fa --- /dev/null +++ b/bazel/BUILD.bazel @@ -0,0 +1,12 @@ +load("@rules_python//python:defs.bzl", "py_binary") + +exports_files([ + "pytest_wrapper.py", + "default_doctest_pytest_plugin.py", +]) + +py_binary( + name = "pyzip", + srcs = ["pyzip.py"], + visibility = ["//visibility:public"], +) diff --git a/bazel/pyzip.py b/bazel/pyzip.py new file mode 100644 index 000000000000..cc0dc0634c62 --- /dev/null +++ b/bazel/pyzip.py @@ -0,0 +1,45 @@ +#!/usr/bin/env python3 + +# This script is used to zip a directory into a zip file. +# It only uses python standard library, so it can be portable and used in bazel. + +import os +import os.path +import sys +import zipfile + +# Everything in the zip file is stored with this timestamp. +# This makes the zip file building deterministic and reproducible. +_TIMESTAMP = (2020, 1, 1, 0, 0, 0) + +_UNIX_DIR_BIT = 0o040000 +_MSDOS_DIR_BIT = 0x10 +_DIR_BIT = (_UNIX_DIR_BIT << 16) | _MSDOS_DIR_BIT | (0o755 << 16) + +_FILE_BIT = (0o100000 << 16) | (0o644 << 16) + + +def zip_dir(dir_path: str, output_zip_path: str): + with zipfile.ZipFile(output_zip_path, "w") as output: + for root, _, files in os.walk(dir_path): + if root != dir_path: + dir_zip_path = os.path.relpath(root, dir_path) + dir_zip_info = zipfile.ZipInfo(dir_zip_path + "/", date_time=_TIMESTAMP) + dir_zip_info.external_attr |= _DIR_BIT + dir_zip_info.flag_bits |= 0x800 # UTF-8 encoded file name. + output.writestr(dir_zip_info, "", compress_type=zipfile.ZIP_STORED) + + for f in files: + file_path = os.path.join(root, f) + zip_path = os.path.relpath(file_path, dir_path) + zip_info = zipfile.ZipInfo(zip_path, date_time=_TIMESTAMP) + zip_info.flag_bits |= 0x800 # UTF-8 encoded file name. + zip_info.external_attr |= _FILE_BIT + + with open(file_path, "rb") as f: + content = f.read() + output.writestr(zip_info, content, compress_type=zipfile.ZIP_STORED) + + +if __name__ == "__main__": + zip_dir(sys.argv[1], sys.argv[2]) From 34735df1abdb31356a890857823e4cdad0166a92 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Thu, 31 Jul 2025 08:45:51 -0700 Subject: [PATCH 0428/1566] [Data] Add another image batch inference release test (#54806) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../ml/data-test-requirements.txt | 1 + python/requirements_compiled.txt | 2 + .../dataset/autoscaling_hetero_compute.yaml | 23 ---- .../autoscaling_cluster_compute.yaml | 24 ++++ .../fixed_size_cluster_compute.yaml | 24 ++++ .../dataset/batch_inference_hetero/main.py | 112 ++++++++++++++++++ .../ray_release/byod/byod_install_pybase64.sh | 6 + release/release_data_tests.yaml | 49 ++++---- 8 files changed, 193 insertions(+), 48 deletions(-) delete mode 100644 release/nightly_tests/dataset/autoscaling_hetero_compute.yaml create mode 100644 release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml create mode 100644 release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml create mode 100644 release/nightly_tests/dataset/batch_inference_hetero/main.py create mode 100755 release/ray_release/byod/byod_install_pybase64.sh diff --git a/python/requirements/ml/data-test-requirements.txt b/python/requirements/ml/data-test-requirements.txt index a5a6947cfba5..bb7634360b21 100644 --- a/python/requirements/ml/data-test-requirements.txt +++ b/python/requirements/ml/data-test-requirements.txt @@ -21,4 +21,5 @@ decord snowflake-connector-python>=3.15.0 pyiceberg[sql-sqlite]==0.9.0 clickhouse-connect +pybase64 hudi==0.4.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 4e3bc4c8e814..d6645dca02fe 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1580,6 +1580,8 @@ pyasn1-modules==0.3.0 # via # google-auth # oauth2client +pybase64==1.4.2 + # via -r python/requirements/ml/data-test-requirements.txt pycparser==2.21 # via cffi pycurl==7.45.3 diff --git a/release/nightly_tests/dataset/autoscaling_hetero_compute.yaml b/release/nightly_tests/dataset/autoscaling_hetero_compute.yaml deleted file mode 100644 index e93a71d3027c..000000000000 --- a/release/nightly_tests/dataset/autoscaling_hetero_compute.yaml +++ /dev/null @@ -1,23 +0,0 @@ -cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} -region: us-west-2 - -max_workers: 20 - -head_node_type: - name: head_node - instance_type: m5.2xlarge - resources: - cpu: 0 - -worker_node_types: - - name: worker_node_gpu - instance_type: g4dn.2xlarge - min_workers: 0 - max_workers: 10 - use_spot: false - - - name: worker_node_cpu - instance_type: m5.2xlarge - min_workers: 0 - max_workers: 10 - use_spot: false diff --git a/release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml b/release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml new file mode 100644 index 000000000000..981a1e371283 --- /dev/null +++ b/release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml @@ -0,0 +1,24 @@ +# This cluster compute is based on a real user setup. +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: r6a.8xlarge + resources: + cpu: 0 + +worker_node_types: + - name: cpu-node + instance_type: r6a.8xlarge + min_workers: 0 + max_workers: 100 + use_spot: false + - name: gpu-node + instance_type: g5.4xlarge + min_workers: 0 + max_workers: 40 + use_spot: false diff --git a/release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml b/release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml new file mode 100644 index 000000000000..4496c70791e9 --- /dev/null +++ b/release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml @@ -0,0 +1,24 @@ +# This cluster compute is based on a real user setup. +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: r6a.8xlarge + resources: + cpu: 0 + +worker_node_types: + - name: cpu-node + instance_type: r6a.8xlarge + min_workers: 100 + max_workers: 100 + use_spot: false + - name: gpu-node + instance_type: g5.4xlarge + min_workers: 40 + max_workers: 40 + use_spot: false diff --git a/release/nightly_tests/dataset/batch_inference_hetero/main.py b/release/nightly_tests/dataset/batch_inference_hetero/main.py new file mode 100644 index 000000000000..2e1d2ac95b11 --- /dev/null +++ b/release/nightly_tests/dataset/batch_inference_hetero/main.py @@ -0,0 +1,112 @@ +import argparse +import uuid +from io import BytesIO +from typing import Dict, List, Any + +import numpy as np +import ray +import torch +from transformers import ViTImageProcessor, ViTForImageClassification +from PIL import Image +from pybase64 import b64decode + +from benchmark import Benchmark + + +INPUT_PREFIX = "s3://ray-benchmark-data-internal/10TiB-jsonl-images" +OUTPUT_PREFIX = f"s3://ray-data-write-benchmark/{uuid.uuid4().hex}" + +BATCH_SIZE = 1024 + +PROCESSOR = ViTImageProcessor( + do_convert_rgb=None, + do_normalize=True, + do_rescale=True, + do_resize=True, + image_mean=[0.5, 0.5, 0.5], + image_std=[0.5, 0.5, 0.5], + resample=2, + rescale_factor=0.00392156862745098, + size={"height": 224, "width": 224}, +) + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--inference-concurrency", + nargs=2, + type=int, + required=True, + help="The minimum and maximum concurrency for the inference operator.", + ) + return parser.parse_args() + + +def main(args: argparse.Namespace): + benchmark = Benchmark() + + def benchmark_fn(): + ( + ray.data.read_json(INPUT_PREFIX, lines=True) + .flat_map(decode) + .map(preprocess) + .map_batches( + Infer, + batch_size=BATCH_SIZE, + num_gpus=1, + concurrency=tuple(args.inference_concurrency), + ) + .write_parquet(OUTPUT_PREFIX) + ) + + benchmark.run_fn("main", benchmark_fn) + benchmark.write_result() + + +def decode(row: Dict[str, Any]) -> List[Dict[str, Any]]: + image_data = b64decode(row["image"], None, True) + image = Image.open(BytesIO(image_data)) + width, height = image.size + return [ + { + "original_url": row["url"], + "original_width": width, + "original_height": height, + "image": np.asarray(image), + } + ] + + +def preprocess(row: Dict[str, Any]) -> Dict[str, Any]: + outputs = PROCESSOR(images=row["image"])["pixel_values"] + assert len(outputs) == 1, len(outputs) + row["image"] = outputs[0] + return row + + +class Infer: + def __init__(self): + self._device = "cuda" if torch.cuda.is_available() else "cpu" + self._model = ViTForImageClassification.from_pretrained( + "google/vit-base-patch16-224" + ).to(self._device) + + def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: + with torch.inference_mode(): + next_tensor = torch.from_numpy(batch["image"]).to( + dtype=torch.float32, device=self._device, non_blocking=True + ) + output = self._model(next_tensor).logits + return { + "original_url": batch["original_url"], + "original_width": batch["original_width"], + "original_height": batch["original_height"], + "output": output.cpu().numpy(), + } + + +if __name__ == "__main__": + ray.init() + args = parse_args() + main(args) diff --git a/release/ray_release/byod/byod_install_pybase64.sh b/release/ray_release/byod/byod_install_pybase64.sh new file mode 100755 index 000000000000..4993b0b5a03f --- /dev/null +++ b/release/ray_release/byod/byod_install_pybase64.sh @@ -0,0 +1,6 @@ +#!/bin/bash +# shellcheck disable=SC2102 + +set -exo pipefail + +pip3 install --no-cache-dir pybase64==1.4.2 diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 573ca7dd9599..ead8e5eecb16 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -472,17 +472,6 @@ python gpu_batch_inference.py --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet -- name: batch_inference_from_metadata - # This benchmark errors because of the issues described in PLAN-383. - frequency: manual - - cluster: - cluster_compute: autoscaling_hetero_compute.yaml - - run: - timeout: 1800 - script: python batch_inference_benchmark.py - - name: batch_inference_chaos stable: False # Don't use 'nightly_tests/dataset' as the working directory because we need to run @@ -513,20 +502,6 @@ python dataset/gpu_batch_inference.py --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet --chaos-test -# 10 TB image classification parquet data with autoscaling heterogenous cluster -# 10 g4dn.12xlarge, 10 m5.16xlarge -- name: batch_inference_hetero - frequency: weekly - - cluster: - cluster_compute: autoscaling_hetero_compute.yaml - - run: - timeout: 7200 - script: > - python gpu_batch_inference.py - --data-directory 10T-image-data-synthetic-raw-parquet --data-format parquet - - name: batch_inference_mock_image_pipeline frequency: manual working_dir: nightly_tests @@ -567,6 +542,30 @@ python setup_chaos.py --chaos TerminateEC2InstanceWithGracePeriod --batch-size-to-kill 10 --max-to-kill 100 --kill-delay 120 +- name: batch_inference_hetero + frequency: manual + + run: + timeout: 3600 + + variations: + - __suffix__: fixed_size + cluster: + cluster_compute: batch_inference_hetero/fixed_size_cluster_compute.yaml + byod: + post_build_script: byod_install_pybase64.sh + run: + script: python batch_inference_hetero/main.py --inference-concurrency 40 40 + + - __suffix__: autoscaling + cluster: + cluster_compute: batch_inference_hetero/autoscaling_cluster_compute.yaml + byod: + post_build_script: byod_install_pybase64.sh + run: + script: python batch_inference_hetero/main.py --inference-concurrency 1 40 + + ############## # TPCH Queries ############## From d9d08acc83a80b8dff0dff5754674b840138faf6 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Thu, 31 Jul 2025 19:18:19 +0200 Subject: [PATCH 0429/1566] [RLlib] Remove TensorFlow-support + classes from new API stack. (#55042) Signed-off-by: Douglas Strodtman --- .../rllib/doc_code/rllib_on_ray_readme.py | 4 +- rllib/BUILD | 10 - .../algorithms/appo/default_appo_rl_module.py | 3 +- rllib/algorithms/dqn/default_dqn_rl_module.py | 9 +- rllib/algorithms/sac/default_sac_rl_module.py | 5 +- .../{learner/tf => distribution}/__init__.py | 0 rllib/core/distribution/distribution.py | 248 ++++++ .../tf => distribution/torch}/__init__.py | 0 .../distribution/torch/torch_distribution.py | 707 +++++++++++++++++ rllib/core/learner/learner.py | 13 +- rllib/core/learner/learner_group.py | 6 +- rllib/core/learner/tf/tf_learner.py | 354 --------- rllib/core/models/configs.py | 37 - rllib/core/models/specs/specs_base.py | 216 +----- rllib/core/models/specs/specs_dict.py | 87 +-- rllib/core/models/specs/typing.py | 10 - rllib/core/models/tests/test_base_models.py | 3 +- rllib/core/models/tests/test_catalog.py | 39 +- rllib/core/models/tf/base.py | 53 -- rllib/core/models/tf/encoder.py | 315 -------- rllib/core/models/tf/heads.py | 198 ----- rllib/core/models/tf/primitives.py | 429 ----------- rllib/core/rl_module/multi_rl_module.py | 9 +- rllib/core/rl_module/rl_module.py | 15 +- rllib/core/rl_module/tf/__init__.py | 0 rllib/core/rl_module/tf/tests/__init__.py | 0 .../rl_module/tf/tests/test_tf_rl_module.py | 118 --- rllib/core/rl_module/tf/tf_rl_module.py | 91 --- rllib/core/testing/bc_algorithm.py | 9 - rllib/core/testing/testing_learner.py | 12 +- rllib/core/testing/tf/__init__.py | 0 rllib/core/testing/tf/bc_learner.py | 34 - rllib/core/testing/tf/bc_module.py | 101 --- rllib/core/testing/torch/bc_module.py | 7 +- rllib/models/distributions.py | 256 +------ rllib/models/tf/tf_distributions.py | 552 ------------- rllib/models/torch/torch_distributions.py | 723 +----------------- 37 files changed, 1039 insertions(+), 3634 deletions(-) rename rllib/core/{learner/tf => distribution}/__init__.py (100%) create mode 100644 rllib/core/distribution/distribution.py rename rllib/core/{models/tf => distribution/torch}/__init__.py (100%) create mode 100644 rllib/core/distribution/torch/torch_distribution.py delete mode 100644 rllib/core/learner/tf/tf_learner.py delete mode 100644 rllib/core/models/specs/typing.py delete mode 100644 rllib/core/models/tf/base.py delete mode 100644 rllib/core/models/tf/encoder.py delete mode 100644 rllib/core/models/tf/heads.py delete mode 100644 rllib/core/models/tf/primitives.py delete mode 100644 rllib/core/rl_module/tf/__init__.py delete mode 100644 rllib/core/rl_module/tf/tests/__init__.py delete mode 100644 rllib/core/rl_module/tf/tests/test_tf_rl_module.py delete mode 100644 rllib/core/rl_module/tf/tf_rl_module.py delete mode 100644 rllib/core/testing/tf/__init__.py delete mode 100644 rllib/core/testing/tf/bc_learner.py delete mode 100644 rllib/core/testing/tf/bc_module.py delete mode 100644 rllib/models/tf/tf_distributions.py diff --git a/doc/source/rllib/doc_code/rllib_on_ray_readme.py b/doc/source/rllib/doc_code/rllib_on_ray_readme.py index 0b1061a6118c..61da6a6add89 100644 --- a/doc/source/rllib/doc_code/rllib_on_ray_readme.py +++ b/doc/source/rllib/doc_code/rllib_on_ray_readme.py @@ -133,7 +133,7 @@ def step(self, action: int) -> Tuple[np.ndarray, float, bool, bool, Dict]: print("\nAgent trajectory:") positions = [float(obs[0])] # Track positions for visualization -while not terminated and not truncated: +while not terminated and not truncated and step_count < 1000: # Compute an action given the current observation action_logits = rl_module.forward_inference( {"obs": torch.from_numpy(obs).unsqueeze(0)} @@ -165,4 +165,6 @@ def step(self, action: int) -> Tuple[np.ndarray, float, bool, bool, Dict]: # Verify the agent has learned the optimal policy if total_reward > -0.5 and obs[0] >= 9.0: print(" Success! The agent has learned the optimal policy (always move right).") +else: + print(" Failure! The agent didn't reach the goal within 1000 timesteps.") # __quick_start_end__ diff --git a/rllib/BUILD b/rllib/BUILD index a8a7e065ccb3..ffbb7a0eb573 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -2471,16 +2471,6 @@ py_test( # args = ["TestRLModuleGPU"], # ) -py_test( - name = "test_tf_rl_module", - size = "medium", - srcs = ["core/rl_module/tf/tests/test_tf_rl_module.py"], - tags = [ - "core", - "team:rllib", - ], -) - py_test( name = "test_multi_rl_module", size = "medium", diff --git a/rllib/algorithms/appo/default_appo_rl_module.py b/rllib/algorithms/appo/default_appo_rl_module.py index dc0ee394da03..9152ac43d9d0 100644 --- a/rllib/algorithms/appo/default_appo_rl_module.py +++ b/rllib/algorithms/appo/default_appo_rl_module.py @@ -3,8 +3,7 @@ from ray.rllib.algorithms.ppo.default_ppo_rl_module import DefaultPPORLModule from ray.rllib.core.learner.utils import make_target_network -from ray.rllib.core.models.base import ACTOR -from ray.rllib.core.models.tf.encoder import ENCODER_OUT +from ray.rllib.core.models.base import ACTOR, ENCODER_OUT from ray.rllib.core.rl_module.apis import ( TARGET_NETWORK_ACTION_DIST_INPUTS, TargetNetworkAPI, diff --git a/rllib/algorithms/dqn/default_dqn_rl_module.py b/rllib/algorithms/dqn/default_dqn_rl_module.py index 6a4b3e373b73..b207134bfd30 100644 --- a/rllib/algorithms/dqn/default_dqn_rl_module.py +++ b/rllib/algorithms/dqn/default_dqn_rl_module.py @@ -5,7 +5,6 @@ from ray.rllib.core.columns import Columns from ray.rllib.core.learner.utils import make_target_network from ray.rllib.core.models.base import Encoder, Model -from ray.rllib.core.models.specs.typing import SpecType from ray.rllib.core.rl_module.apis import QNetAPI, InferenceOnlyAPI, TargetNetworkAPI from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.utils.annotations import ( @@ -140,7 +139,7 @@ def get_initial_state(self) -> dict: return {} @override(RLModule) - def input_specs_train(self) -> SpecType: + def input_specs_train(self): return [ Columns.OBS, Columns.ACTIONS, @@ -148,15 +147,15 @@ def input_specs_train(self) -> SpecType: ] @override(RLModule) - def output_specs_exploration(self) -> SpecType: + def output_specs_exploration(self): return [Columns.ACTIONS] @override(RLModule) - def output_specs_inference(self) -> SpecType: + def output_specs_inference(self): return [Columns.ACTIONS] @override(RLModule) - def output_specs_train(self) -> SpecType: + def output_specs_train(self): return [ QF_PREDS, QF_TARGET_NEXT_PREDS, diff --git a/rllib/algorithms/sac/default_sac_rl_module.py b/rllib/algorithms/sac/default_sac_rl_module.py index 8a5fb6360cd8..9e12060ccc51 100644 --- a/rllib/algorithms/sac/default_sac_rl_module.py +++ b/rllib/algorithms/sac/default_sac_rl_module.py @@ -8,7 +8,6 @@ ) from ray.rllib.core.learner.utils import make_target_network from ray.rllib.core.models.base import Encoder, Model -from ray.rllib.core.models.specs.typing import SpecType from ray.rllib.core.rl_module.apis import InferenceOnlyAPI, QNetAPI, TargetNetworkAPI from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.policy.sample_batch import SampleBatch @@ -131,7 +130,7 @@ def get_initial_state(self) -> dict: return {} @override(RLModule) - def input_specs_train(self) -> SpecType: + def input_specs_train(self): return [ SampleBatch.OBS, SampleBatch.ACTIONS, @@ -139,7 +138,7 @@ def input_specs_train(self) -> SpecType: ] @override(RLModule) - def output_specs_train(self) -> SpecType: + def output_specs_train(self): return ( [ QF_PREDS, diff --git a/rllib/core/learner/tf/__init__.py b/rllib/core/distribution/__init__.py similarity index 100% rename from rllib/core/learner/tf/__init__.py rename to rllib/core/distribution/__init__.py diff --git a/rllib/core/distribution/distribution.py b/rllib/core/distribution/distribution.py new file mode 100644 index 000000000000..bda55acd2770 --- /dev/null +++ b/rllib/core/distribution/distribution.py @@ -0,0 +1,248 @@ +"""This is the next version of action distribution base class.""" +from typing import Tuple +import gymnasium as gym +import abc + +from ray.rllib.utils.annotations import ExperimentalAPI +from ray.rllib.utils.typing import TensorType, Union +from ray.rllib.utils.annotations import override + + +@ExperimentalAPI +class Distribution(abc.ABC): + """The base class for distribution over a random variable. + + Examples: + + .. testcode:: + + import torch + from ray.rllib.core.models.configs import MLPHeadConfig + from ray.rllib.models.torch.torch_distributions import TorchCategorical + + model = MLPHeadConfig(input_dims=[1]).build(framework="torch") + + # Create an action distribution from model logits + action_logits = model(torch.Tensor([[1]])) + action_dist = TorchCategorical.from_logits(action_logits) + action = action_dist.sample() + + # Create another distribution from a dummy Tensor + action_dist2 = TorchCategorical.from_logits(torch.Tensor([0])) + + # Compute some common metrics + logp = action_dist.logp(action) + kl = action_dist.kl(action_dist2) + entropy = action_dist.entropy() + """ + + @abc.abstractmethod + def sample( + self, + *, + sample_shape: Tuple[int, ...] = None, + return_logp: bool = False, + **kwargs, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + """Draw a sample from the distribution. + + Args: + sample_shape: The shape of the sample to draw. + return_logp: Whether to return the logp of the sampled values. + **kwargs: Forward compatibility placeholder. + + Returns: + The sampled values. If return_logp is True, returns a tuple of the + sampled values and its logp. + """ + + @abc.abstractmethod + def rsample( + self, + *, + sample_shape: Tuple[int, ...] = None, + return_logp: bool = False, + **kwargs, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + """Draw a re-parameterized sample from the action distribution. + + If this method is implemented, we can take gradients of samples w.r.t. the + distribution parameters. + + Args: + sample_shape: The shape of the sample to draw. + return_logp: Whether to return the logp of the sampled values. + **kwargs: Forward compatibility placeholder. + + Returns: + The sampled values. If return_logp is True, returns a tuple of the + sampled values and its logp. + """ + + @abc.abstractmethod + def logp(self, value: TensorType, **kwargs) -> TensorType: + """The log-likelihood of the distribution computed at `value` + + Args: + value: The value to compute the log-likelihood at. + **kwargs: Forward compatibility placeholder. + + Returns: + The log-likelihood of the value. + """ + + @abc.abstractmethod + def kl(self, other: "Distribution", **kwargs) -> TensorType: + """The KL-divergence between two distributions. + + Args: + other: The other distribution. + **kwargs: Forward compatibility placeholder. + + Returns: + The KL-divergence between the two distributions. + """ + + @abc.abstractmethod + def entropy(self, **kwargs) -> TensorType: + """The entropy of the distribution. + + Args: + **kwargs: Forward compatibility placeholder. + + Returns: + The entropy of the distribution. + """ + + @staticmethod + @abc.abstractmethod + def required_input_dim(space: gym.Space, **kwargs) -> int: + """Returns the required length of an input parameter tensor. + + Args: + space: The space this distribution will be used for, + whose shape attributes will be used to determine the required shape of + the input parameter tensor. + **kwargs: Forward compatibility placeholder. + + Returns: + size of the required input vector (minus leading batch dimension). + """ + + @classmethod + def from_logits(cls, logits: TensorType, **kwargs) -> "Distribution": + """Creates a Distribution from logits. + + The caller does not need to have knowledge of the distribution class in order + to create it and sample from it. The passed batched logits vectors might be + split up and are passed to the distribution class' constructor as kwargs. + + Args: + logits: The logits to create the distribution from. + **kwargs: Forward compatibility placeholder. + + Returns: + The created distribution. + + .. testcode:: + + import numpy as np + from ray.rllib.models.distributions import Distribution + + class Uniform(Distribution): + def __init__(self, lower, upper): + self.lower = lower + self.upper = upper + + def sample(self): + return self.lower + (self.upper - self.lower) * np.random.rand() + + def logp(self, x): + ... + + def kl(self, other): + ... + + def entropy(self): + ... + + @staticmethod + def required_input_dim(space): + ... + + def rsample(self): + ... + + @classmethod + def from_logits(cls, logits, **kwargs): + return Uniform(logits[:, 0], logits[:, 1]) + + logits = np.array([[0.0, 1.0], [2.0, 3.0]]) + my_dist = Uniform.from_logits(logits) + sample = my_dist.sample() + """ + raise NotImplementedError + + @classmethod + def get_partial_dist_cls( + parent_cls: "Distribution", **partial_kwargs + ) -> "Distribution": + """Returns a partial child of TorchMultiActionDistribution. + + This is useful if inputs needed to instantiate the Distribution from logits + are available, but the logits are not. + """ + + class DistributionPartial(parent_cls): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + @staticmethod + def _merge_kwargs(**kwargs): + """Checks if keys in kwargs don't clash with partial_kwargs.""" + overlap = set(kwargs) & set(partial_kwargs) + if overlap: + raise ValueError( + f"Cannot override the following kwargs: {overlap}.\n" + f"This is because they were already set at the time this " + f"partial class was defined." + ) + merged_kwargs = {**partial_kwargs, **kwargs} + return merged_kwargs + + @classmethod + @override(parent_cls) + def required_input_dim(cls, space: gym.Space, **kwargs) -> int: + merged_kwargs = cls._merge_kwargs(**kwargs) + assert space == merged_kwargs["space"] + return parent_cls.required_input_dim(**merged_kwargs) + + @classmethod + @override(parent_cls) + def from_logits( + cls, + logits: TensorType, + **kwargs, + ) -> "DistributionPartial": + merged_kwargs = cls._merge_kwargs(**kwargs) + distribution = parent_cls.from_logits(logits, **merged_kwargs) + # Replace the class of the returned distribution with this partial + # This makes it so that we can use type() on this distribution and + # get back the partial class. + distribution.__class__ = cls + return distribution + + # Substitute name of this partial class to match the original class. + DistributionPartial.__name__ = f"{parent_cls}Partial" + + return DistributionPartial + + def to_deterministic(self) -> "Distribution": + """Returns a deterministic equivalent for this distribution. + + Specifically, the deterministic equivalent for a Categorical distribution is a + Deterministic distribution that selects the action with maximum logit value. + Generally, the choice of the deterministic replacement is informed by + established conventions. + """ + return self diff --git a/rllib/core/models/tf/__init__.py b/rllib/core/distribution/torch/__init__.py similarity index 100% rename from rllib/core/models/tf/__init__.py rename to rllib/core/distribution/torch/__init__.py diff --git a/rllib/core/distribution/torch/torch_distribution.py b/rllib/core/distribution/torch/torch_distribution.py new file mode 100644 index 000000000000..c1c3af2675ac --- /dev/null +++ b/rllib/core/distribution/torch/torch_distribution.py @@ -0,0 +1,707 @@ +"""The main difference between this and the old ActionDistribution is that this one +has more explicit input args. So that the input format does not have to be guessed from +the code. This matches the design pattern of torch distribution which developers may +already be familiar with. +""" +import gymnasium as gym +import numpy as np +from typing import Dict, Iterable, List, Optional +import tree +import abc + + +from ray.rllib.models.distributions import Distribution +from ray.rllib.utils.annotations import override, DeveloperAPI +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.numpy import MAX_LOG_NN_OUTPUT, MIN_LOG_NN_OUTPUT, SMALL_NUMBER +from ray.rllib.utils.typing import TensorType, Union, Tuple + +torch, nn = try_import_torch() + + +@DeveloperAPI +class TorchDistribution(Distribution, abc.ABC): + """Wrapper class for torch.distributions.""" + + def __init__(self, *args, **kwargs): + super().__init__() + self._dist = self._get_torch_distribution(*args, **kwargs) + + @abc.abstractmethod + def _get_torch_distribution( + self, *args, **kwargs + ) -> "torch.distributions.Distribution": + """Returns the torch.distributions.Distribution object to use.""" + + @override(Distribution) + def logp(self, value: TensorType, **kwargs) -> TensorType: + return self._dist.log_prob(value, **kwargs) + + @override(Distribution) + def entropy(self) -> TensorType: + return self._dist.entropy() + + @override(Distribution) + def kl(self, other: "Distribution") -> TensorType: + return torch.distributions.kl.kl_divergence(self._dist, other._dist) + + @override(Distribution) + def sample( + self, + *, + sample_shape=None, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + sample = self._dist.sample( + sample_shape if sample_shape is not None else torch.Size() + ) + return sample + + @override(Distribution) + def rsample( + self, + *, + sample_shape=None, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + rsample = self._dist.rsample( + sample_shape if sample_shape is not None else torch.Size() + ) + return rsample + + @classmethod + @override(Distribution) + def from_logits(cls, logits: TensorType, **kwargs) -> "TorchDistribution": + return cls(logits=logits, **kwargs) + + +@DeveloperAPI +class TorchCategorical(TorchDistribution): + r"""Wrapper class for PyTorch Categorical distribution. + + Creates a categorical distribution parameterized by either :attr:`probs` or + :attr:`logits` (but not both). + + Samples are integers from :math:`\{0, \ldots, K-1\}` where `K` is + ``probs.size(-1)``. + + If `probs` is 1-dimensional with length-`K`, each element is the relative + probability of sampling the class at that index. + + If `probs` is N-dimensional, the first N-1 dimensions are treated as a batch of + relative probability vectors. + + .. testcode:: + :skipif: True + + m = TorchCategorical(torch.tensor([ 0.25, 0.25, 0.25, 0.25 ])) + m.sample(sample_shape=(2,)) # equal probability of 0, 1, 2, 3 + + .. testoutput:: + + tensor([3, 4]) + + Args: + logits: Event log probabilities (unnormalized) + probs: The probabilities of each event. + temperature: In case of using logits, this parameter can be used to determine + the sharpness of the distribution. i.e. + ``probs = softmax(logits / temperature)``. The temperature must be strictly + positive. A low value (e.g. 1e-10) will result in argmax sampling while a + larger value will result in uniform sampling. + """ + + @override(TorchDistribution) + def __init__( + self, + logits: "torch.Tensor" = None, + probs: "torch.Tensor" = None, + ) -> None: + # We assert this here because to_deterministic makes this assumption. + assert (probs is None) != ( + logits is None + ), "Exactly one out of `probs` and `logits` must be set!" + + self.probs = probs + self.logits = logits + super().__init__(logits=logits, probs=probs) + + # Build this distribution only if really needed (in `self.rsample()`). It's + # quite expensive according to cProfile. + self._one_hot = None + + @override(TorchDistribution) + def _get_torch_distribution( + self, + logits: "torch.Tensor" = None, + probs: "torch.Tensor" = None, + ) -> "torch.distributions.Distribution": + return torch.distributions.categorical.Categorical( + logits=logits, probs=probs, validate_args=False + ) + + @staticmethod + @override(Distribution) + def required_input_dim(space: gym.Space, **kwargs) -> int: + assert isinstance(space, gym.spaces.Discrete) + return int(space.n) + + @override(Distribution) + def rsample(self, sample_shape=()): + if self._one_hot is None: + self._one_hot = torch.distributions.one_hot_categorical.OneHotCategorical( + logits=self.logits, probs=self.probs, validate_args=False + ) + one_hot_sample = self._one_hot.sample(sample_shape) + return (one_hot_sample - self.probs).detach() + self.probs + + def to_deterministic(self) -> "TorchDeterministic": + if self.probs is not None: + probs_or_logits = self.probs + else: + probs_or_logits = self.logits + + return TorchDeterministic(loc=torch.argmax(probs_or_logits, dim=-1)) + + +@DeveloperAPI +class TorchDiagGaussian(TorchDistribution): + """Wrapper class for PyTorch Normal distribution. + + Creates a normal distribution parameterized by :attr:`loc` and :attr:`scale`. In + case of multi-dimensional distribution, the variance is assumed to be diagonal. + + .. testcode:: + :skipif: True + + loc, scale = torch.tensor([0.0, 0.0]), torch.tensor([1.0, 1.0]) + m = TorchDiagGaussian(loc=loc, scale=scale) + m.sample(sample_shape=(2,)) # 2d normal dist with loc=0 and scale=1 + + .. testoutput:: + + tensor([[ 0.1046, -0.6120], [ 0.234, 0.556]]) + + .. testcode:: + :skipif: True + + # scale is None + m = TorchDiagGaussian(loc=torch.tensor([0.0, 1.0])) + m.sample(sample_shape=(2,)) # normally distributed with loc=0 and scale=1 + + .. testoutput:: + + tensor([0.1046, 0.6120]) + + + Args: + loc: mean of the distribution (often referred to as mu). If scale is None, the + second half of the `loc` will be used as the log of scale. + scale: standard deviation of the distribution (often referred to as sigma). + Has to be positive. + """ + + @override(TorchDistribution) + def __init__( + self, + loc: Union[float, "torch.Tensor"], + scale: Optional[Union[float, "torch.Tensor"]], + ): + self.loc = loc + super().__init__(loc=loc, scale=scale) + + def _get_torch_distribution(self, loc, scale) -> "torch.distributions.Distribution": + return torch.distributions.normal.Normal(loc, scale, validate_args=False) + + @override(TorchDistribution) + def logp(self, value: TensorType) -> TensorType: + return super().logp(value).sum(-1) + + @override(TorchDistribution) + def entropy(self) -> TensorType: + return super().entropy().sum(-1) + + @override(TorchDistribution) + def kl(self, other: "TorchDistribution") -> TensorType: + return super().kl(other).sum(-1) + + @staticmethod + @override(Distribution) + def required_input_dim(space: gym.Space, **kwargs) -> int: + assert isinstance(space, gym.spaces.Box) + return int(np.prod(space.shape, dtype=np.int32) * 2) + + @classmethod + @override(Distribution) + def from_logits(cls, logits: TensorType, **kwargs) -> "TorchDiagGaussian": + loc, log_std = logits.chunk(2, dim=-1) + scale = log_std.exp() + return cls(loc=loc, scale=scale) + + def to_deterministic(self) -> "TorchDeterministic": + return TorchDeterministic(loc=self.loc) + + +@DeveloperAPI +class TorchSquashedGaussian(TorchDistribution): + @override(TorchDistribution) + def __init__( + self, + loc: Union[float, "torch.Tensor"], + scale: Optional[Union[float, "torch.Tensor"]] = 1.0, + low: float = -1.0, + high: float = 1.0, + ): + self.loc = loc + self.low = low + self.high = high + + super().__init__(loc=loc, scale=scale) + + def _get_torch_distribution(self, loc, scale) -> "torch.distributions.Distribution": + return torch.distributions.normal.Normal(loc, scale, validate_args=False) + + @override(TorchDistribution) + def sample( + self, *, sample_shape=None + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + # Sample from the Normal distribution. + sample = super().sample( + sample_shape=sample_shape if sample_shape is not None else torch.Size() + ) + # Return the squashed sample. + return self._squash(sample) + + @override(TorchDistribution) + def rsample( + self, *, sample_shape=None + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + # Sample from the Normal distribution. + sample = super().rsample( + sample_shape=sample_shape if sample_shape is not None else torch.Size() + ) + # Return the squashed sample. + return self._squash(sample) + + @override(TorchDistribution) + def logp(self, value: TensorType, **kwargs) -> TensorType: + # Unsquash value. + value = self._unsquash(value) + # Get log-probabilities from Normal distribution. + logp = super().logp(value, **kwargs) + # Clip the log probabilities as a safeguard and sum. + logp = torch.clamp(logp, -100, 100).sum(-1) + # Return the log probabilities for squashed Normal. + value = torch.tanh(value) + return logp - torch.log(1 - value**2 + SMALL_NUMBER).sum(-1) + + @override(TorchDistribution) + def entropy(self) -> TensorType: + raise ValueError("ENtropy not defined for `TorchSquashedGaussian`.") + + @override(TorchDistribution) + def kl(self, other: Distribution) -> TensorType: + raise ValueError("KL not defined for `TorchSquashedGaussian`.") + + def _squash(self, sample: TensorType) -> TensorType: + # Rescale the sample to interval given by the bounds (including the bounds). + sample = ((torch.tanh(sample) + 1.0) / 2.0) * (self.high - self.low) + self.low + # Return a clipped sample to comply with the bounds. + return torch.clamp(sample, self.low, self.high) + + def _unsquash(self, sample: TensorType) -> TensorType: + # Rescale to [-1.0, 1.0]. + sample = (sample - self.low) / (self.high - self.low) * 2.0 - 1.0 + # Stabilize input to atanh function. + sample = torch.clamp(sample, -1.0 + SMALL_NUMBER, 1.0 - SMALL_NUMBER) + return torch.atanh(sample) + + @staticmethod + @override(Distribution) + def required_input_dim(space: gym.Space, **kwargs) -> int: + assert isinstance(space, gym.spaces.Box), space + return int(np.prod(space.shape, dtype=np.int32) * 2) + + @classmethod + @override(TorchDistribution) + def from_logits( + cls, logits: TensorType, low: float = -1.0, high: float = 1.0, **kwargs + ) -> "TorchSquashedGaussian": + loc, log_std = logits.chunk(2, dim=-1) + # Clip the `scale` values (coming from the `RLModule.forward()`) to + # reasonable values. + log_std = torch.clamp(log_std, MIN_LOG_NN_OUTPUT, MAX_LOG_NN_OUTPUT) + scale = log_std.exp() + + # Assert that `low` is smaller than `high`. + assert np.all(np.less(low, high)) + # Return class instance. + return cls(loc=loc, scale=scale, low=low, high=high, **kwargs) + + def to_deterministic(self) -> Distribution: + return TorchDeterministic(loc=self.loc) + + +@DeveloperAPI +class TorchDeterministic(Distribution): + """The distribution that returns the input values directly. + + This is similar to DiagGaussian with standard deviation zero (thus only + requiring the "mean" values as NN output). + + Note: entropy is always zero, ang logp and kl are not implemented. + + .. testcode:: + :skipif: True + + m = TorchDeterministic(loc=torch.tensor([0.0, 0.0])) + m.sample(sample_shape=(2,)) + + .. testoutput:: + + tensor([[ 0.0, 0.0], [ 0.0, 0.0]]) + + Args: + loc: the determinsitic value to return + """ + + @override(Distribution) + def __init__(self, loc: "torch.Tensor") -> None: + super().__init__() + self.loc = loc + + @override(Distribution) + def sample( + self, + *, + sample_shape=None, + **kwargs, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + device = self.loc.device + dtype = self.loc.dtype + shape = ( + sample_shape if sample_shape is not None else torch.Size() + ) + self.loc.shape + return torch.ones(shape, device=device, dtype=dtype) * self.loc + + def rsample( + self, + *, + sample_shape: Tuple[int, ...] = None, + **kwargs, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + raise NotImplementedError + + @override(Distribution) + def logp(self, value: TensorType, **kwargs) -> TensorType: + return torch.zeros_like(self.loc) + + @override(Distribution) + def entropy(self, **kwargs) -> TensorType: + raise RuntimeError(f"`entropy()` not supported for {self.__class__.__name__}.") + + @override(Distribution) + def kl(self, other: "Distribution", **kwargs) -> TensorType: + raise RuntimeError(f"`kl()` not supported for {self.__class__.__name__}.") + + @staticmethod + @override(Distribution) + def required_input_dim(space: gym.Space, **kwargs) -> int: + assert isinstance(space, gym.spaces.Box) + return int(np.prod(space.shape, dtype=np.int32)) + + def to_deterministic(self) -> "TorchDeterministic": + return self + + +@DeveloperAPI +class TorchMultiCategorical(Distribution): + """MultiCategorical distribution for MultiDiscrete action spaces.""" + + @override(Distribution) + def __init__( + self, + categoricals: List[TorchCategorical], + ): + super().__init__() + self._cats = categoricals + + @override(Distribution) + def sample(self) -> TensorType: + arr = [cat.sample() for cat in self._cats] + sample_ = torch.stack(arr, dim=-1) + return sample_ + + @override(Distribution) + def rsample(self, sample_shape=()): + arr = [cat.rsample() for cat in self._cats] + sample_ = torch.stack(arr, dim=-1) + return sample_ + + @override(Distribution) + def logp(self, value: "torch.Tensor") -> TensorType: + value = torch.unbind(value, dim=-1) + logps = torch.stack([cat.logp(act) for cat, act in zip(self._cats, value)]) + return torch.sum(logps, dim=0) + + @override(Distribution) + def entropy(self) -> TensorType: + return torch.sum( + torch.stack([cat.entropy() for cat in self._cats], dim=-1), dim=-1 + ) + + @override(Distribution) + def kl(self, other: Distribution) -> TensorType: + kls = torch.stack( + [cat.kl(oth_cat) for cat, oth_cat in zip(self._cats, other._cats)], + dim=-1, + ) + return torch.sum(kls, dim=-1) + + @staticmethod + @override(Distribution) + def required_input_dim(space: gym.Space, **kwargs) -> int: + assert isinstance(space, gym.spaces.MultiDiscrete) + return int(np.sum(space.nvec)) + + @classmethod + @override(Distribution) + def from_logits( + cls, + logits: "torch.Tensor", + input_lens: List[int], + temperatures: List[float] = None, + **kwargs, + ) -> "TorchMultiCategorical": + """Creates this Distribution from logits (and additional arguments). + + If you wish to create this distribution from logits only, please refer to + `Distribution.get_partial_dist_cls()`. + + Args: + logits: The tensor containing logits to be separated by logit_lens. + child_distribution_cls_struct: A struct of Distribution classes that can + be instantiated from the given logits. + input_lens: A list of integers that indicate the length of the logits + vectors to be passed into each child distribution. + temperatures: A list of floats representing the temperature to use for + each Categorical distribution. If not provided, 1.0 is used for all. + **kwargs: Forward compatibility kwargs. + """ + if not temperatures: + # If temperatures are not provided, use 1.0 for all actions. + temperatures = [1.0] * len(input_lens) + + assert ( + sum(input_lens) == logits.shape[-1] + ), "input_lens must sum to logits.shape[-1]" + assert len(input_lens) == len( + temperatures + ), "input_lens and temperatures must be same length" + + categoricals = [ + TorchCategorical(logits=logits) + for logits in torch.split(logits, input_lens, dim=-1) + ] + + return cls(categoricals=categoricals) + + def to_deterministic(self) -> "TorchDeterministic": + """Converts `TorchMultiCategorical` into `TorchDeterministic`.""" + logits_list = [cat.logits for cat in self._cats] + # Check, if the module is recurrent. + is_recurrent = logits_list[0].dim() == 3 # (B, T, K_i) + + # Determine max number of categories across all categorical distributions + max_K = max(logits.shape[-1] for logits in logits_list) + + padded_logits = [] + for logits in logits_list: + # Pad last dimension (category dim) to max_K + pad_width = max_K - logits.shape[-1] + # If the distributions have different number of categories, pad. + if pad_width > 0: + # Pad only last dimension + pad_dims = (0, pad_width) + logits = nn.functional.pad(logits, pad_dims, value=-float("inf")) + padded_logits.append(logits) + + # Stack along new dim=0 (categorical dimension). + # Shape: (num_components, B, T, max_K) or (num_components, B, max_K) + stacked = torch.stack(padded_logits, dim=0) + + # Move categorical dim (0) to last if needed, and take argmax. + if is_recurrent: + # Current shape is (num_components, B, T, K) and we want to have + # (B, T, num_components) via argmax over last dimension. So take + # argmax over last dim (K), then permute. + argmax = torch.argmax(stacked, dim=-1) # shape: (num_components, B, T) + loc = argmax.permute(1, 2, 0) # (B, T, num_components) + else: + # stacked: (num_components, B, K) + # → argmax over last dim (K), shape: (num_components, B) + # → transpose to (B, num_components) + argmax = torch.argmax(stacked, dim=-1) # (num_components, B) + loc = argmax.transpose(0, 1) # (B, num_components) + + return TorchDeterministic(loc=loc) + + +@DeveloperAPI +class TorchMultiDistribution(Distribution): + """Action distribution that operates on multiple, possibly nested actions.""" + + def __init__( + self, + child_distribution_struct: Union[Tuple, List, Dict], + ): + """Initializes a TorchMultiDistribution object. + + Args: + child_distribution_struct: A complex struct that contains the child + distribution instances that make up this multi-distribution. + """ + super().__init__() + self._original_struct = child_distribution_struct + self._flat_child_distributions = tree.flatten(child_distribution_struct) + + @override(Distribution) + def rsample( + self, + *, + sample_shape: Tuple[int, ...] = None, + **kwargs, + ) -> Union[TensorType, Tuple[TensorType, TensorType]]: + rsamples = [] + for dist in self._flat_child_distributions: + rsample = dist.rsample(sample_shape=sample_shape, **kwargs) + rsamples.append(rsample) + + rsamples = tree.unflatten_as(self._original_struct, rsamples) + + return rsamples + + @override(Distribution) + def logp(self, value: TensorType) -> TensorType: + # Different places in RLlib use this method with different inputs. + # We therefore need to handle a flattened and concatenated input, as well as + # a nested one. + # TODO(Artur): Deprecate tensor inputs, only allow nested structures. + if isinstance(value, torch.Tensor): + split_indices = [] + for dist in self._flat_child_distributions: + if isinstance(dist, TorchCategorical): + split_indices.append(1) + elif isinstance(dist, TorchMultiCategorical): + split_indices.append(len(dist._cats)) + else: + sample = dist.sample() + # Cover Box(shape=()) case. + if len(sample.shape) == 1: + split_indices.append(1) + else: + split_indices.append(sample.size()[1]) + split_value = list(torch.split(value, split_indices, dim=1)) + else: + split_value = tree.flatten(value) + + def map_(val, dist): + # Remove extra dimension if present. + if ( + isinstance(dist, TorchCategorical) + and val.shape[-1] == 1 + and len(val.shape) > 1 + ): + val = torch.squeeze(val, dim=-1) + return dist.logp(val) + + flat_logps = tree.map_structure( + map_, split_value, self._flat_child_distributions + ) + + return sum(flat_logps) + + @override(Distribution) + def kl(self, other: Distribution) -> TensorType: + kl_list = [ + d.kl(o) + for d, o in zip( + self._flat_child_distributions, other._flat_child_distributions + ) + ] + return sum(kl_list) + + @override(Distribution) + def entropy(self): + entropy_list = [d.entropy() for d in self._flat_child_distributions] + return sum(entropy_list) + + @override(Distribution) + def sample(self): + child_distributions_struct = tree.unflatten_as( + self._original_struct, self._flat_child_distributions + ) + return tree.map_structure(lambda s: s.sample(), child_distributions_struct) + + @staticmethod + @override(Distribution) + def required_input_dim( + space: gym.Space, input_lens: List[int], as_list: bool = False, **kwargs + ) -> int: + if as_list: + return input_lens + else: + return sum(input_lens) + + @classmethod + @override(Distribution) + def from_logits( + cls, + logits: "torch.Tensor", + child_distribution_cls_struct: Union[Dict, Iterable], + input_lens: Union[Dict, List[int]], + **kwargs, + ) -> "TorchMultiDistribution": + """Creates this Distribution from logits (and additional arguments). + + If you wish to create this distribution from logits only, please refer to + `Distribution.get_partial_dist_cls()`. + + Args: + logits: The tensor containing logits to be separated by `input_lens`. + child_distribution_cls_struct: A struct of Distribution classes that can + be instantiated from the given logits. + child_distribution_cls_struct: A struct of Distribution classes that can + be instantiated from the given logits. + input_lens: A list or dict of integers that indicate the length of each + logit. If this is given as a dict, the structure should match the + structure of child_distribution_cls_struct. + **kwargs: Forward compatibility kwargs. + + Returns: + A TorchMultiDistribution object. + """ + logit_lens = tree.flatten(input_lens) + child_distribution_cls_list = tree.flatten(child_distribution_cls_struct) + split_logits = torch.split(logits, logit_lens, dim=-1) + + child_distribution_list = tree.map_structure( + lambda dist, input_: dist.from_logits(input_), + child_distribution_cls_list, + list(split_logits), + ) + + child_distribution_struct = tree.unflatten_as( + child_distribution_cls_struct, child_distribution_list + ) + + return cls( + child_distribution_struct=child_distribution_struct, + ) + + def to_deterministic(self) -> "TorchMultiDistribution": + flat_deterministic_dists = [ + dist.to_deterministic() for dist in self._flat_child_distributions + ] + deterministic_dists = tree.unflatten_as( + self._original_struct, flat_deterministic_dists + ) + return TorchMultiDistribution(deterministic_dists) diff --git a/rllib/core/learner/learner.py b/rllib/core/learner/learner.py index 84ddffef134b..3eab6072ff6f 100644 --- a/rllib/core/learner/learner.py +++ b/rllib/core/learner/learner.py @@ -48,7 +48,7 @@ from ray.rllib.utils.checkpoints import Checkpointable from ray.rllib.utils.debug import update_global_seed_if_necessary from ray.rllib.utils.deprecation import Deprecated -from ray.rllib.utils.framework import try_import_tf, try_import_torch +from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.metrics import ( ALL_MODULES, DATASET_NUM_ITERS_TRAINED, @@ -88,7 +88,6 @@ torch, _ = try_import_torch() -tf1, tf, tfv = try_import_tf() logger = logging.getLogger(__name__) @@ -112,11 +111,11 @@ class Learner(Checkpointable): way to add/remove modules to/from RLModules in a multi-agent scenario, in the middle of training (This is useful for league based training). - TF and Torch specific implementation of this class fills in the framework-specific - implementation details for distributed training, and for computing and applying - gradients. User should not need to sub-class this class, but instead inherit from - the TF or Torch specific sub-classes to implement their algorithm-specific update - logic. + Deep learning framework-specific implementations of this class fill in the + details for distributed training, and for computing and applying + gradients. User should not need to subclass this class, but instead inherit from + the deep learning framework (for example torch) specific subclasses to implement + their algorithm-specific update logic. Args: config: The AlgorithmConfig object from which to derive most of the settings diff --git a/rllib/core/learner/learner_group.py b/rllib/core/learner/learner_group.py index ff87aae28243..e1d816ff9e19 100644 --- a/rllib/core/learner/learner_group.py +++ b/rllib/core/learner/learner_group.py @@ -69,13 +69,9 @@ def backend_cls(self): backend_config = RLlibTorchConfig() - elif learner_class.framework == "tf2": - from ray.train.tensorflow import TensorflowConfig - - backend_config = TensorflowConfig() else: raise ValueError( - "`learner_class.framework` must be either 'torch' or 'tf2' (but is " + "`learner_class.framework` must be 'torch' (but is " f"{learner_class.framework}!" ) diff --git a/rllib/core/learner/tf/tf_learner.py b/rllib/core/learner/tf/tf_learner.py deleted file mode 100644 index 471c677f1e91..000000000000 --- a/rllib/core/learner/tf/tf_learner.py +++ /dev/null @@ -1,354 +0,0 @@ -import logging -import pathlib -from typing import ( - Any, - Callable, - Dict, - Hashable, - Sequence, - Tuple, - TYPE_CHECKING, - Union, -) - -from ray.rllib.core.learner.learner import Learner -from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec -from ray.rllib.core.rl_module.rl_module import ( - RLModule, - RLModuleSpec, -) -from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule -from ray.rllib.policy.eager_tf_policy import _convert_to_tf -from ray.rllib.policy.sample_batch import MultiAgentBatch -from ray.rllib.utils.annotations import ( - override, - OverrideToImplementCustomLogic, -) -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.typing import ( - ModuleID, - Optimizer, - Param, - ParamDict, - StateDict, - TensorType, -) - -if TYPE_CHECKING: - from ray.rllib.algorithms.algorithm_config import AlgorithmConfig - -tf1, tf, tfv = try_import_tf() - -logger = logging.getLogger(__name__) - - -class TfLearner(Learner): - - framework: str = "tf2" - - def __init__(self, **kwargs): - # by default in rllib we disable tf2 behavior - # This call re-enables it as it is needed for using - # this class. - try: - tf1.enable_v2_behavior() - except ValueError: - # This is a hack to avoid the error that happens when calling - # enable_v2_behavior after variables have already been created. - pass - - super().__init__(**kwargs) - - self._enable_tf_function = self.config.eager_tracing - - # This is a placeholder which will be filled by - # `_make_distributed_strategy_if_necessary`. - self._strategy: tf.distribute.Strategy = None - - @OverrideToImplementCustomLogic - @override(Learner) - def configure_optimizers_for_module( - self, module_id: ModuleID, config: "AlgorithmConfig" = None - ) -> None: - module = self._module[module_id] - - # For this default implementation, the learning rate is handled by the - # attached lr Scheduler (controlled by self.config.lr, which can be a - # fixed value or a schedule setting). - optimizer = tf.keras.optimizers.Adam() - params = self.get_parameters(module) - - # This isn't strictly necessary, but makes it so that if a checkpoint is - # computed before training actually starts, then it will be the same in - # shape / size as a checkpoint after training starts. - optimizer.build(module.trainable_variables) - - # Register the created optimizer (under the default optimizer name). - self.register_optimizer( - module_id=module_id, - optimizer=optimizer, - params=params, - lr_or_lr_schedule=config.lr, - ) - - @override(Learner) - def compute_gradients( - self, - loss_per_module: Dict[str, TensorType], - gradient_tape: "tf.GradientTape", - **kwargs, - ) -> ParamDict: - total_loss = sum(loss_per_module.values()) - grads = gradient_tape.gradient(total_loss, self._params) - return grads - - @override(Learner) - def apply_gradients(self, gradients_dict: ParamDict) -> None: - # TODO (Avnishn, kourosh): apply gradients doesn't work in cases where - # only some agents have a sample batch that is passed but not others. - # This is probably because of the way that we are iterating over the - # parameters in the optim_to_param_dictionary. - for optimizer in self._optimizer_parameters: - optim_grad_dict = self.filter_param_dict_for_optimizer( - optimizer=optimizer, param_dict=gradients_dict - ) - variable_list = [] - gradient_list = [] - for param_ref, grad in optim_grad_dict.items(): - if grad is not None: - variable_list.append(self._params[param_ref]) - gradient_list.append(grad) - optimizer.apply_gradients(zip(gradient_list, variable_list)) - - @override(Learner) - def restore_from_path(self, path: Union[str, pathlib.Path]) -> None: - # This operation is potentially very costly because a MultiRLModule is created - # at build time, destroyed, and then a new one is created from a checkpoint. - # However, it is necessary due to complications with the way that Ray Tune - # restores failed trials. When Tune restores a failed trial, it reconstructs the - # entire experiment from the initial config. Therefore, to reflect any changes - # made to the learner's modules, the module created by Tune is destroyed and - # then rebuilt from the checkpoint. - with self._strategy.scope(): - super().restore_from_path(path) - - @override(Learner) - def _get_optimizer_state(self) -> StateDict: - optim_state = {} - with tf.init_scope(): - for name, optim in self._named_optimizers.items(): - optim_state[name] = [var.numpy() for var in optim.variables()] - return optim_state - - @override(Learner) - def _set_optimizer_state(self, state: StateDict) -> None: - for name, state_array in state.items(): - if name not in self._named_optimizers: - raise ValueError( - f"Optimizer {name} in `state` is not known! " - f"Known optimizers are {self._named_optimizers.keys()}" - ) - optim = self._named_optimizers[name] - optim.set_weights(state_array) - - @override(Learner) - def get_param_ref(self, param: Param) -> Hashable: - return param.ref() - - @override(Learner) - def get_parameters(self, module: RLModule) -> Sequence[Param]: - return list(module.trainable_variables) - - @override(Learner) - def rl_module_is_compatible(self, module: RLModule) -> bool: - return isinstance(module, TfRLModule) - - @override(Learner) - def _check_registered_optimizer( - self, - optimizer: Optimizer, - params: Sequence[Param], - ) -> None: - super()._check_registered_optimizer(optimizer, params) - if not isinstance(optimizer, tf.keras.optimizers.Optimizer): - raise ValueError( - f"The optimizer ({optimizer}) is not a tf keras optimizer! " - "Only use tf.keras.optimizers.Optimizer subclasses for TfLearner." - ) - for param in params: - if not isinstance(param, tf.Variable): - raise ValueError( - f"One of the parameters ({param}) in the registered optimizer " - "is not a tf.Variable!" - ) - - @override(Learner) - def _convert_batch_type(self, batch: MultiAgentBatch) -> MultiAgentBatch: - batch = _convert_to_tf(batch.policy_batches) - length = max(len(b) for b in batch.values()) - batch = MultiAgentBatch(batch, env_steps=length) - return batch - - @override(Learner) - def add_module( - self, - *, - module_id: ModuleID, - module_spec: RLModuleSpec, - ) -> None: - # TODO(Avnishn): - # WARNING:tensorflow:Using MirroredStrategy eagerly has significant overhead - # currently. We will be working on improving this in the future, but for now - # please wrap `call_for_each_replica` or `experimental_run` or `run` inside a - # tf.function to get the best performance. - # I get this warning any time I add a new module. I see the warning a few times - # and then it disappears. I think that I will need to open an issue with the TF - # team. - with self._strategy.scope(): - super().add_module( - module_id=module_id, - module_spec=module_spec, - ) - if self._enable_tf_function: - self._possibly_traced_update = tf.function( - self._untraced_update, reduce_retracing=True - ) - - @override(Learner) - def remove_module(self, module_id: ModuleID, **kwargs) -> MultiRLModuleSpec: - with self._strategy.scope(): - marl_spec = super().remove_module(module_id, **kwargs) - - if self._enable_tf_function: - self._possibly_traced_update = tf.function( - self._untraced_update, reduce_retracing=True - ) - - return marl_spec - - def _make_distributed_strategy_if_necessary(self) -> "tf.distribute.Strategy": - """Create a distributed strategy for the learner. - - A stratgey is a tensorflow object that is used for distributing training and - gradient computation across multiple devices. By default, a no-op strategy is - used that is not distributed. - - Returns: - A strategy for the learner to use for distributed training. - - """ - if self.config.num_learners > 1: - strategy = tf.distribute.MultiWorkerMirroredStrategy() - elif self.config.num_gpus_per_learner > 0: - # mirrored strategy is typically used for multi-gpu training - # on a single machine, however we can use it for single-gpu - devices = tf.config.list_logical_devices("GPU") - assert self.config.local_gpu_idx < len(devices), ( - f"local_gpu_idx {self.config.local_gpu_idx} is not a valid GPU id or " - "is not available." - ) - local_gpu = [devices[self.config.local_gpu_idx].name] - strategy = tf.distribute.MirroredStrategy(devices=local_gpu) - else: - # the default strategy is a no-op that can be used in the local mode - # cpu only case, build will override this if needed. - strategy = tf.distribute.get_strategy() - return strategy - - @override(Learner) - def build(self) -> None: - """Build the TfLearner. - - This method is specific TfLearner. Before running super() it sets the correct - distributing strategy with the right device, so that computational graph is - placed on the correct device. After running super(), depending on eager_tracing - flag it will decide whether to wrap the update function with tf.function or not. - """ - - # we call build anytime we make a learner, or load a learner from a checkpoint. - # we can't make a new strategy every time we build, so we only make one the - # first time build is called. - if not self._strategy: - self._strategy = self._make_distributed_strategy_if_necessary() - - with self._strategy.scope(): - super().build() - - if self._enable_tf_function: - self._possibly_traced_update = tf.function( - self._untraced_update, reduce_retracing=True - ) - else: - self._possibly_traced_update = self._untraced_update - - @override(Learner) - def _update(self, batch: Dict) -> Tuple[Any, Any, Any]: - return self._possibly_traced_update(batch) - - def _untraced_update( - self, - batch: Dict, - # TODO: Figure out, why _ray_trace_ctx=None helps to prevent a crash in - # eager_tracing=True mode. - # It seems there may be a clash between the traced-by-tf function and the - # traced-by-ray functions (for making the TfLearner class a ray actor). - _ray_trace_ctx=None, - ): - def helper(_batch): - with tf.GradientTape(persistent=True) as tape: - fwd_out = self._module.forward_train(_batch) - loss_per_module = self.compute_losses(fwd_out=fwd_out, batch=_batch) - gradients = self.compute_gradients(loss_per_module, gradient_tape=tape) - del tape - postprocessed_gradients = self.postprocess_gradients(gradients) - self.apply_gradients(postprocessed_gradients) - - # Deactivate tensor-mode on our MetricsLogger and collect the (tensor) - # results. - return fwd_out, loss_per_module, {} - - return self._strategy.run(helper, args=(batch,)) - - @override(Learner) - def _get_tensor_variable(self, value, dtype=None, trainable=False) -> "tf.Tensor": - return tf.Variable( - value, - trainable=trainable, - dtype=( - dtype - or ( - tf.float32 - if isinstance(value, float) - else tf.int32 - if isinstance(value, int) - else None - ) - ), - ) - - @staticmethod - @override(Learner) - def _get_optimizer_lr(optimizer: "tf.Optimizer") -> float: - return optimizer.lr - - @staticmethod - @override(Learner) - def _set_optimizer_lr(optimizer: "tf.Optimizer", lr: float) -> None: - # When tf creates the optimizer, it seems to detach the optimizer's lr value - # from the given tf variable. - # Thus, updating this variable is NOT sufficient to update the actual - # optimizer's learning rate, so we have to explicitly set it here inside the - # optimizer object. - optimizer.lr = lr - - @staticmethod - @override(Learner) - def _get_clip_function() -> Callable: - from ray.rllib.utils.tf_utils import clip_gradients - - return clip_gradients - - @staticmethod - @override(Learner) - def _get_global_norm_function() -> Callable: - return tf.linalg.global_norm diff --git a/rllib/core/models/configs.py b/rllib/core/models/configs.py index 60a0758bbd76..00acf8ef4132 100644 --- a/rllib/core/models/configs.py +++ b/rllib/core/models/configs.py @@ -298,10 +298,6 @@ def build(self, framework: str = "torch") -> "Model": from ray.rllib.core.models.torch.heads import TorchMLPHead return TorchMLPHead(self) - else: - from ray.rllib.core.models.tf.heads import TfMLPHead - - return TfMLPHead(self) @ExperimentalAPI @@ -386,10 +382,6 @@ def build(self, framework: str = "torch") -> "Model": from ray.rllib.core.models.torch.heads import TorchFreeLogStdMLPHead return TorchFreeLogStdMLPHead(self) - else: - from ray.rllib.core.models.tf.heads import TfFreeLogStdMLPHead - - return TfFreeLogStdMLPHead(self) @ExperimentalAPI @@ -642,11 +634,6 @@ def build(self, framework: str = "torch") -> "Model": return TorchCNNTransposeHead(self) - elif framework == "tf2": - from ray.rllib.core.models.tf.heads import TfCNNTransposeHead - - return TfCNNTransposeHead(self) - @ExperimentalAPI @dataclass @@ -823,11 +810,6 @@ def build(self, framework: str = "torch") -> "Model": return TorchCNNEncoder(self) - elif framework == "tf2": - from ray.rllib.core.models.tf.encoder import TfCNNEncoder - - return TfCNNEncoder(self) - @ExperimentalAPI @dataclass @@ -888,10 +870,6 @@ def build(self, framework: str = "torch") -> "Encoder": from ray.rllib.core.models.torch.encoder import TorchMLPEncoder return TorchMLPEncoder(self) - else: - from ray.rllib.core.models.tf.encoder import TfMLPEncoder - - return TfMLPEncoder(self) @ExperimentalAPI @@ -1037,11 +1015,6 @@ def build(self, framework: str = "torch") -> "Encoder": TorchGRUEncoder as GRU, TorchLSTMEncoder as LSTM, ) - else: - from ray.rllib.core.models.tf.encoder import ( - TfGRUEncoder as GRU, - TfLSTMEncoder as LSTM, - ) if self.recurrent_layer_type == "lstm": return LSTM(self) @@ -1083,13 +1056,3 @@ def build(self, framework: str = "torch") -> "Encoder": return TorchStatefulActorCriticEncoder(self) else: return TorchActorCriticEncoder(self) - else: - from ray.rllib.core.models.tf.encoder import ( - TfActorCriticEncoder, - TfStatefulActorCriticEncoder, - ) - - if isinstance(self.base_encoder_config, RecurrentEncoderConfig): - return TfStatefulActorCriticEncoder(self) - else: - return TfActorCriticEncoder(self) diff --git a/rllib/core/models/specs/specs_base.py b/rllib/core/models/specs/specs_base.py index 9099da941002..722267b3dc6d 100644 --- a/rllib/core/models/specs/specs_base.py +++ b/rllib/core/models/specs/specs_base.py @@ -1,226 +1,28 @@ -import abc -from copy import deepcopy -import numpy as np -from typing import Any, Optional, Dict, List, Tuple, Union, Type -from ray.rllib.utils import try_import_jax, try_import_tf, try_import_torch from ray.rllib.utils.deprecation import Deprecated -from ray.rllib.utils.typing import TensorType - -torch, _ = try_import_torch() -_, tf, _ = try_import_tf() -jax, _ = try_import_jax() - -_INVALID_INPUT_DUP_DIM = "Duplicate dimension names in shape ({})" -_INVALID_INPUT_UNKNOWN_DIM = "Unknown dimension name {} in shape ({})" -_INVALID_INPUT_POSITIVE = "Dimension {} in ({}) must be positive, got {}" -_INVALID_INPUT_INT_DIM = "Dimension {} in ({}) must be integer, got {}" -_INVALID_SHAPE = "Expected shape {} but found {}" -_INVALID_TYPE = "Expected data type {} but found {}" @Deprecated( help="The Spec checking APIs have been deprecated and cancelled without " "replacement.", - error=False, + error=True, ) -class Spec(abc.ABC): - @staticmethod - @abc.abstractmethod - def validate(self, data: Any) -> None: - pass +class Spec: + pass @Deprecated( help="The Spec checking APIs have been deprecated and cancelled without " "replacement.", - error=False, + error=True, ) -class TypeSpec(Spec): - def __init__(self, dtype: Type) -> None: - self.dtype = dtype - - def __repr__(self): - return f"TypeSpec({str(self.dtype)})" - - def validate(self, data: Any) -> None: - if not isinstance(data, self.dtype): - raise ValueError(_INVALID_TYPE.format(self.dtype, type(data))) - - def __eq__(self, other: "TypeSpec") -> bool: - if not isinstance(other, TypeSpec): - return False - return self.dtype == other.dtype - - def __ne__(self, other: "TypeSpec") -> bool: - return not self == other +class TypeSpec: + pass @Deprecated( help="The Spec checking APIs have been deprecated and cancelled without " "replacement.", - error=False, + error=True, ) -class TensorSpec(Spec): - def __init__( - self, - shape: str, - *, - dtype: Optional[Any] = None, - framework: Optional[str] = None, - **shape_vals: int, - ) -> None: - self._expected_shape = self._parse_expected_shape(shape, shape_vals) - self._full_shape = self._get_full_shape() - self._dtype = dtype - self._framework = framework - - if framework not in ("tf2", "torch", "np", "jax", None): - raise ValueError(f"Unknown framework {self._framework}") - - self._type = self._get_expected_type() - - def _get_expected_type(self) -> Type: - if self._framework == "torch": - return torch.Tensor - elif self._framework == "tf2": - return tf.Tensor - elif self._framework == "np": - return np.ndarray - elif self._framework == "jax": - jax, _ = try_import_jax() - return jax.numpy.ndarray - elif self._framework is None: - # Don't restrict the type of the tensor if no framework is specified. - return object - - def get_shape(self, tensor: TensorType) -> Tuple[int]: - if self._framework == "tf2": - return tuple( - int(i) if i is not None else None for i in tensor.shape.as_list() - ) - return tuple(tensor.shape) - - def get_dtype(self, tensor: TensorType) -> Any: - return tensor.dtype - - @property - def dtype(self) -> Any: - return self._dtype - - @property - def shape(self) -> Tuple[Union[int, str]]: - return self._expected_shape - - @property - def type(self) -> Type: - return self._type - - @property - def full_shape(self) -> Tuple[int]: - return self._full_shape - - def rdrop(self, n: int) -> "TensorSpec": - assert isinstance(n, int) and n >= 0, "n must be a positive integer or zero" - copy_ = deepcopy(self) - copy_._expected_shape = copy_.shape[:-n] - copy_._full_shape = self._get_full_shape() - return copy_ - - def append(self, spec: "TensorSpec") -> "TensorSpec": - copy_ = deepcopy(self) - copy_._expected_shape = (*copy_.shape, *spec.shape) - copy_._full_shape = self._get_full_shape() - return copy_ - - def validate(self, tensor: TensorType) -> None: - if not isinstance(tensor, self.type): - raise ValueError(_INVALID_TYPE.format(self.type, type(tensor).__name__)) - - shape = self.get_shape(tensor) - if len(shape) != len(self._expected_shape): - raise ValueError(_INVALID_SHAPE.format(self._expected_shape, shape)) - - for expected_d, actual_d in zip(self._expected_shape, shape): - if isinstance(expected_d, int) and expected_d != actual_d: - raise ValueError(_INVALID_SHAPE.format(self._expected_shape, shape)) - - dtype = tensor.dtype - if self.dtype and dtype != self.dtype: - raise ValueError(_INVALID_TYPE.format(self.dtype, tensor.dtype)) - - def fill(self, fill_value: Union[float, int] = 0) -> TensorType: - if self._framework == "torch": - return torch.full(self.full_shape, fill_value, dtype=self.dtype) - - elif self._framework == "tf2": - if self.dtype: - return tf.ones(self.full_shape, dtype=self.dtype) * fill_value - return tf.fill(self.full_shape, fill_value) - - elif self._framework == "np": - return np.full(self.full_shape, fill_value, dtype=self.dtype) - - elif self._framework == "jax": - return jax.numpy.full(self.full_shape, fill_value, dtype=self.dtype) - - elif self._framework is None: - raise ValueError( - "Cannot fill tensor without providing `framework` to TensorSpec. " - "This TensorSpec was instantiated without `framework`." - ) - - def _get_full_shape(self) -> Tuple[int]: - sampled_shape = tuple() - for d in self._expected_shape: - if isinstance(d, int): - sampled_shape += (d,) - else: - sampled_shape += (1,) - return sampled_shape - - def _parse_expected_shape(self, shape: str, shape_vals: Dict[str, int]) -> tuple: - d_names = shape.replace(" ", "").split(",") - self._validate_shape_vals(d_names, shape_vals) - - expected_shape = tuple(shape_vals.get(d, d) for d in d_names) - - return expected_shape - - def _validate_shape_vals( - self, d_names: List[str], shape_vals: Dict[str, int] - ) -> None: - d_names_set = set(d_names) - if len(d_names_set) != len(d_names): - raise ValueError(_INVALID_INPUT_DUP_DIM.format(",".join(d_names))) - - for d_name in shape_vals: - if d_name not in d_names_set: - raise ValueError( - _INVALID_INPUT_UNKNOWN_DIM.format(d_name, ",".join(d_names)) - ) - - d_value = shape_vals.get(d_name, None) - if d_value is not None: - if not isinstance(d_value, int): - raise ValueError( - _INVALID_INPUT_INT_DIM.format( - d_name, ",".join(d_names), type(d_value) - ) - ) - if d_value <= 0: - raise ValueError( - _INVALID_INPUT_POSITIVE.format( - d_name, ",".join(d_names), d_value - ) - ) - - def __repr__(self) -> str: - return f"TensorSpec(shape={tuple(self.shape)}, dtype={self.dtype})" - - def __eq__(self, other: "TensorSpec") -> bool: - if not isinstance(other, TensorSpec): - return False - return self.shape == other.shape and self.dtype == other.dtype - - def __ne__(self, other: "TensorSpec") -> bool: - return not self == other +class TensorSpec: + pass diff --git a/rllib/core/models/specs/specs_dict.py b/rllib/core/models/specs/specs_dict.py index adc2c46a9412..7d944688eb0e 100644 --- a/rllib/core/models/specs/specs_dict.py +++ b/rllib/core/models/specs/specs_dict.py @@ -1,84 +1,9 @@ -from typing import Any, Dict +from ray.rllib.utils.deprecation import Deprecated -import tree -from ray.rllib.core.models.specs.specs_base import Spec -from ray.rllib.utils import force_tuple - -_MISSING_KEYS_FROM_DATA = ( - "The data dict does not match the model specs. Keys {} are " - "in the spec dict but not on the data dict. Data keys are {}" -) -_TYPE_MISMATCH = ( - "The data does not match the spec. The data element " - "{} has type {} (expected type {})." +@Deprecated( + help="The SpecDict API has been deprecated and cancelled without " "replacement.", + error=True, ) - -DATA_TYPE = Dict[str, Any] - -IS_NOT_PROPERTY = "Spec {} must be a property of the class {}." - - -class SpecDict(dict, Spec): - def validate( - self, - data: DATA_TYPE, - exact_match: bool = False, - ) -> None: - check = self.is_subset(self, data, exact_match) - if not check[0]: - data_keys_set = set() - - def _map(path, s): - data_keys_set.add(force_tuple(path)) - - tree.map_structure_with_path(_map, data) - - raise ValueError(_MISSING_KEYS_FROM_DATA.format(check[1], data_keys_set)) - - @staticmethod - def is_subset(spec_dict, data_dict, exact_match=False): - if exact_match: - tree.assert_same_structure(data_dict, spec_dict, check_types=False) - - for key in spec_dict: - if key not in data_dict: - return False, key - if spec_dict[key] is None: - continue - - elif isinstance(data_dict[key], dict): - if not isinstance(spec_dict[key], dict): - return False, key - - res = SpecDict.is_subset(spec_dict[key], data_dict[key], exact_match) - if not res[0]: - return res - - elif isinstance(spec_dict[key], dict): - return False, key - - elif isinstance(spec_dict[key], Spec): - try: - spec_dict[key].validate(data_dict[key]) - except ValueError as e: - raise ValueError( - f"Mismatch found in data element {key}, " - f"which is a TensorSpec: {e}" - ) - elif isinstance(spec_dict[key], (type, tuple)): - if not isinstance(data_dict[key], spec_dict[key]): - raise ValueError( - _TYPE_MISMATCH.format( - key, - type(data_dict[key]).__name__, - spec_dict[key].__name__, - ) - ) - else: - raise ValueError( - f"The spec type has to be either TensorSpec or Type. " - f"got {type(spec_dict[key])}" - ) - - return True, None +class SpecDict: + pass diff --git a/rllib/core/models/specs/typing.py b/rllib/core/models/specs/typing.py deleted file mode 100644 index 3975aae27d8c..000000000000 --- a/rllib/core/models/specs/typing.py +++ /dev/null @@ -1,10 +0,0 @@ -from typing import Union, Type, Tuple, List, TYPE_CHECKING - -if TYPE_CHECKING: - from ray.rllib.core.models.specs.specs_base import Spec - - -NestedKeys = List[Union[str, Tuple[str, ...]]] -Constraint = Union[Type, Tuple[Type, ...], "Spec"] -# Either a flat list of nested keys or a tree of constraints -SpecType = Union[NestedKeys] diff --git a/rllib/core/models/tests/test_base_models.py b/rllib/core/models/tests/test_base_models.py index a52e92a3f78b..d10390c8f50d 100644 --- a/rllib/core/models/tests/test_base_models.py +++ b/rllib/core/models/tests/test_base_models.py @@ -6,13 +6,12 @@ from ray.rllib.core.models.configs import ModelConfig from ray.rllib.core.models.torch.base import TorchModel from ray.rllib.core.rl_module.rl_module import RLModuleSpec -from ray.rllib.utils.framework import try_import_tf, try_import_torch +from ray.rllib.utils.framework import try_import_torch from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog from ray.rllib.core.rl_module.torch.torch_compile_config import TorchCompileConfig from ray.rllib.utils.torch_utils import _dynamo_is_available -_, tf, _ = try_import_tf() torch, nn = try_import_torch() """ diff --git a/rllib/core/models/tests/test_catalog.py b/rllib/core/models/tests/test_catalog.py index b2b30b457c4d..ecec2d9d9e8b 100644 --- a/rllib/core/models/tests/test_catalog.py +++ b/rllib/core/models/tests/test_catalog.py @@ -31,24 +31,17 @@ from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig from ray.rllib.core.rl_module.rl_module import RLModuleSpec from ray.rllib.models import MODEL_DEFAULTS -from ray.rllib.models.tf.tf_distributions import ( - TfCategorical, - TfDiagGaussian, - TfMultiCategorical, - TfMultiDistribution, -) from ray.rllib.models.torch.torch_distributions import ( TorchCategorical, TorchDiagGaussian, TorchMultiCategorical, TorchMultiDistribution, ) -from ray.rllib.utils.framework import try_import_tf, try_import_torch +from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import convert_to_numpy from ray.rllib.utils.spaces.space_utils import get_dummy_batch_for_space from ray.rllib.utils.torch_utils import convert_to_torch_tensor -_, tf, _ = try_import_tf() torch, _ = try_import_torch() @@ -58,13 +51,11 @@ def _check_model_outputs(self, model, framework, model_config_dict, input_space) Args: model: The model to check. - framework: The framework to use (tf|torch). + framework: The framework to use (torch). model_config_dict: The model config dict to use. input_space: The input space to use. """ - convert_method = ( - tf.convert_to_tensor if framework == "tf2" else convert_to_torch_tensor - ) + convert_method = convert_to_torch_tensor expected_latent_dim = model_config_dict.get("latent_dim") if expected_latent_dim is None: # For CNNEncoders, `output_dims` are computed automatically. @@ -132,7 +123,7 @@ def test_get_encoder_config(self): ), ] - frameworks = ["tf2", "torch"] + frameworks = ["torch"] # First check if encoders can be created for non-composite spaces print("Testing encoders for non-composite input spaces...") @@ -182,10 +173,12 @@ def test_get_dist_cls_from_action_space(self): # Box TestConfig( Box(-np.inf, np.inf, (7,), dtype=np.float32), - {"torch": TorchDiagGaussian, "tf2": TfDiagGaussian}, + { + "torch": TorchDiagGaussian, + }, ), # Discrete - TestConfig(Discrete(5), {"torch": TorchCategorical, "tf2": TfCategorical}), + TestConfig(Discrete(5), {"torch": TorchCategorical}), # Nested Dict TestConfig( Dict( @@ -196,7 +189,6 @@ def test_get_dist_cls_from_action_space(self): ), { "torch": TorchMultiDistribution, - "tf2": TfMultiDistribution, }, ), # Nested Tuple @@ -209,7 +201,6 @@ def test_get_dist_cls_from_action_space(self): ), { "torch": TorchMultiDistribution, - "tf2": TfMultiDistribution, }, ), # Tuple nested inside Dict @@ -231,7 +222,6 @@ def test_get_dist_cls_from_action_space(self): ), { "torch": TorchMultiDistribution, - "tf2": TfMultiDistribution, }, ), # Dict nested inside Tuple @@ -256,13 +246,12 @@ def test_get_dist_cls_from_action_space(self): ), { "torch": TorchMultiDistribution, - "tf2": TfMultiDistribution, }, ), # MultiDiscrete TestConfig( MultiDiscrete([5, 5, 5]), - {"torch": TorchMultiCategorical, "tf2": TfMultiCategorical}, + {"torch": TorchMultiCategorical}, ), ] @@ -284,10 +273,7 @@ def test_get_dist_cls_from_action_space(self): # Check if we can query the required input dimensions expected_cls = expected_cls_dict["torch"] - if ( - expected_cls is TorchMultiDistribution - or expected_cls is TfMultiDistribution - ): + if expected_cls is TorchMultiDistribution: # For these special cases, we need to create partials of the # expected classes so that we can calculate the required inputs expected_cls = _multi_action_dist_partial_helper( @@ -295,10 +281,7 @@ def test_get_dist_cls_from_action_space(self): action_space=action_space, framework="torch", ) - elif ( - expected_cls is TorchMultiCategorical - or expected_cls is TfMultiCategorical - ): + elif expected_cls is TorchMultiCategorical: # For these special cases, we need to create partials of the # expected classes so that we can calculate the required inputs expected_cls = _multi_categorical_dist_partial_helper( diff --git a/rllib/core/models/tf/base.py b/rllib/core/models/tf/base.py deleted file mode 100644 index 48e346812c42..000000000000 --- a/rllib/core/models/tf/base.py +++ /dev/null @@ -1,53 +0,0 @@ -import abc -import logging -from typing import Tuple - -import numpy as np - -from ray.rllib.core.models.base import Model -from ray.rllib.core.models.configs import ModelConfig -from ray.rllib.utils.annotations import override -from ray.rllib.utils.framework import try_import_tf - -logger = logging.getLogger(__name__) -_, tf, _ = try_import_tf() - - -class TfModel(Model, tf.keras.Model, abc.ABC): - """Base class for RLlib's TensorFlow models. - - This class defines the interface for RLlib's TensorFlow models and checks - whether inputs and outputs of __call__ are checked with `check_input_specs()` and - `check_output_specs()` respectively. - """ - - def __init__(self, config: ModelConfig): - tf.keras.Model.__init__(self) - Model.__init__(self, config) - - def call(self, input_dict: dict, **kwargs) -> dict: - """Returns the output of this model for the given input. - - This method only makes sure that we have a spec-checked _forward() method. - - Args: - input_dict: The input tensors. - **kwargs: Forward compatibility kwargs. - - Returns: - dict: The output tensors. - """ - return self._forward(input_dict, **kwargs) - - @override(Model) - def get_num_parameters(self) -> Tuple[int, int]: - return ( - sum(int(np.prod(w.shape)) for w in self.trainable_weights), - sum(int(np.prod(w.shape)) for w in self.non_trainable_weights), - ) - - @override(Model) - def _set_to_dummy_weights(self, value_sequence=(-0.02, -0.01, 0.01, 0.02)): - for i, w in enumerate(self.trainable_weights + self.non_trainable_weights): - fill_val = value_sequence[i % len(value_sequence)] - w.assign(tf.fill(w.shape, fill_val)) diff --git a/rllib/core/models/tf/encoder.py b/rllib/core/models/tf/encoder.py deleted file mode 100644 index 3d280e23cda7..000000000000 --- a/rllib/core/models/tf/encoder.py +++ /dev/null @@ -1,315 +0,0 @@ -from typing import Dict - -import tree # pip install dm_tree - -from ray.rllib.core.columns import Columns -from ray.rllib.core.models.base import ( - Encoder, - ActorCriticEncoder, - StatefulActorCriticEncoder, - ENCODER_OUT, - tokenize, -) -from ray.rllib.core.models.base import Model -from ray.rllib.core.models.configs import ( - ActorCriticEncoderConfig, - CNNEncoderConfig, - MLPEncoderConfig, - RecurrentEncoderConfig, -) -from ray.rllib.core.models.tf.base import TfModel -from ray.rllib.core.models.tf.primitives import TfMLP, TfCNN -from ray.rllib.models.utils import get_initializer_fn -from ray.rllib.utils.annotations import override -from ray.rllib.utils.framework import try_import_tf - -_, tf, _ = try_import_tf() - - -class TfActorCriticEncoder(TfModel, ActorCriticEncoder): - """An encoder that can hold two encoders.""" - - framework = "tf2" - - def __init__(self, config: ActorCriticEncoderConfig) -> None: - # We have to call TfModel.__init__ first, because it calls the constructor of - # tf.keras.Model, which is required to be called before models are created. - TfModel.__init__(self, config) - ActorCriticEncoder.__init__(self, config) - - -class TfStatefulActorCriticEncoder(TfModel, StatefulActorCriticEncoder): - """A stateful actor-critic encoder for torch.""" - - framework = "tf2" - - def __init__(self, config: ActorCriticEncoderConfig) -> None: - # We have to call TfModel.__init__ first, because it calls the constructor of - # tf.keras.Model, which is required to be called before models are created. - TfModel.__init__(self, config) - StatefulActorCriticEncoder.__init__(self, config) - - -class TfCNNEncoder(TfModel, Encoder): - def __init__(self, config: CNNEncoderConfig) -> None: - TfModel.__init__(self, config) - Encoder.__init__(self, config) - - # Add an input layer for the Sequential, created below. This is really - # important to be able to derive the model's trainable_variables early on - # (inside our Learners). - layers = [tf.keras.layers.Input(shape=config.input_dims)] - # The bare-bones CNN (no flatten, no succeeding dense). - cnn = TfCNN( - input_dims=config.input_dims, - cnn_filter_specifiers=config.cnn_filter_specifiers, - cnn_activation=config.cnn_activation, - cnn_use_layernorm=config.cnn_use_layernorm, - cnn_use_bias=config.cnn_use_bias, - cnn_kernel_initializer=config.cnn_kernel_initializer, - cnn_kernel_initializer_config=config.cnn_kernel_initializer_config, - cnn_bias_initializer=config.cnn_bias_initializer, - cnn_bias_initializer_config=config.cnn_bias_initializer_config, - ) - layers.append(cnn) - - # Add a flatten operation to move from 2/3D into 1D space. - if config.flatten_at_end: - layers.append(tf.keras.layers.Flatten()) - - # Create the network from gathered layers. - self.net = tf.keras.Sequential(layers) - - @override(Model) - def _forward(self, inputs: dict, **kwargs) -> dict: - return {ENCODER_OUT: self.net(inputs[Columns.OBS])} - - -class TfMLPEncoder(Encoder, TfModel): - def __init__(self, config: MLPEncoderConfig) -> None: - TfModel.__init__(self, config) - Encoder.__init__(self, config) - - # Create the neural network. - self.net = TfMLP( - input_dim=config.input_dims[0], - hidden_layer_dims=config.hidden_layer_dims, - hidden_layer_activation=config.hidden_layer_activation, - hidden_layer_use_layernorm=config.hidden_layer_use_layernorm, - hidden_layer_use_bias=config.hidden_layer_use_bias, - hidden_layer_weights_initializer=config.hidden_layer_weights_initializer, - hidden_layer_weights_initializer_config=( - config.hidden_layer_weights_initializer_config - ), - hidden_layer_bias_initializer=config.hidden_layer_bias_initializer, - hidden_layer_bias_initializer_config=( - config.hidden_layer_bias_initializer_config - ), - output_dim=config.output_layer_dim, - output_activation=config.output_layer_activation, - output_use_bias=config.output_layer_use_bias, - output_weights_initializer=config.output_layer_weights_initializer, - output_weights_initializer_config=( - config.output_layer_weights_initializer_config - ), - output_bias_initializer=config.output_layer_bias_initializer, - output_bias_initializer_config=config.output_layer_bias_initializer_config, - ) - - @override(Model) - def _forward(self, inputs: Dict, **kwargs) -> Dict: - return {ENCODER_OUT: self.net(inputs[Columns.OBS])} - - -class TfGRUEncoder(TfModel, Encoder): - """A recurrent GRU encoder. - - This encoder has... - - Zero or one tokenizers. - - One or more GRU layers. - """ - - def __init__(self, config: RecurrentEncoderConfig) -> None: - TfModel.__init__(self, config) - - # Maybe create a tokenizer - if config.tokenizer_config is not None: - self.tokenizer = config.tokenizer_config.build(framework="tf2") - # For our first input dim, we infer from the tokenizer. - # This is necessary because we need to build the layers in order to be - # able to get/set weights directly after instantiation. - input_dims = (1,) + tuple( - self.tokenizer.output_specs[ENCODER_OUT].full_shape - ) - else: - self.tokenizer = None - input_dims = ( - 1, - 1, - ) + tuple(config.input_dims) - - gru_weights_initializer = get_initializer_fn( - config.hidden_weights_initializer, framework="tf2" - ) - gru_bias_initializer = get_initializer_fn( - config.hidden_bias_initializer, framework="tf2" - ) - - # Create the tf GRU layers. - self.grus = [] - for _ in range(config.num_layers): - layer = tf.keras.layers.GRU( - config.hidden_dim, - time_major=not config.batch_major, - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - gru_weights_initializer(**config.hidden_weights_initializer_config) - if config.hidden_weights_initializer_config - else gru_weights_initializer - ), - use_bias=config.use_bias, - bias_initializer=( - gru_bias_initializer(**config.hidden_bias_initializer_config) - if config.hidden_bias_initializer_config - else gru_bias_initializer - ), - return_sequences=True, - return_state=True, - ) - layer.build(input_dims) - input_dims = (1, 1, config.hidden_dim) - self.grus.append(layer) - - @override(Model) - def get_initial_state(self): - return { - "h": tf.zeros((self.config.num_layers, self.config.hidden_dim)), - } - - @override(Model) - def _forward(self, inputs: Dict, **kwargs) -> Dict: - outputs = {} - - if self.tokenizer is not None: - # Push observations through the tokenizer encoder if we built one. - out = tokenize(self.tokenizer, inputs, framework="tf2") - else: - # Otherwise, just use the raw observations. - out = tf.cast(inputs[Columns.OBS], tf.float32) - - # States are batch-first when coming in. Make them layers-first. - states_in = tree.map_structure( - lambda s: tf.transpose(s, perm=[1, 0] + list(range(2, len(s.shape)))), - inputs[Columns.STATE_IN], - ) - - states_out = [] - for i, layer in enumerate(self.grus): - out, h = layer(out, states_in["h"][i]) - states_out.append(h) - - # Insert them into the output dict. - outputs[ENCODER_OUT] = out - outputs[Columns.STATE_OUT] = {"h": tf.stack(states_out, 1)} - return outputs - - -class TfLSTMEncoder(TfModel, Encoder): - """A recurrent LSTM encoder. - - This encoder has... - - Zero or one tokenizers. - - One or more LSTM layers. - """ - - def __init__(self, config: RecurrentEncoderConfig) -> None: - TfModel.__init__(self, config) - - # Maybe create a tokenizer - if config.tokenizer_config is not None: - self.tokenizer = config.tokenizer_config.build(framework="tf2") - # For our first input dim, we infer from the tokenizer. - # This is necessary because we need to build the layers in order to be - # able to get/set weights directly after instantiation. - input_dims = (1,) + tuple( - self.tokenizer.output_specs[ENCODER_OUT].full_shape - ) - else: - self.tokenizer = None - input_dims = ( - 1, - 1, - ) + tuple(config.input_dims) - - lstm_weights_initializer = get_initializer_fn( - config.hidden_weights_initializer, framework="tf2" - ) - lstm_bias_initializer = get_initializer_fn( - config.hidden_bias_initializer, framework="tf2" - ) - - # Create the tf LSTM layers. - self.lstms = [] - for _ in range(config.num_layers): - layer = tf.keras.layers.LSTM( - config.hidden_dim, - time_major=not config.batch_major, - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - lstm_weights_initializer(**config.hidden_weights_initializer_config) - if config.hidden_weights_initializer_config - else lstm_weights_initializer - ), - use_bias=config.use_bias, - bias_initializer=( - lstm_bias_initializer(**config.hidden_bias_initializer_config) - if config.hidden_bias_initializer_config - else "zeros" - ), - return_sequences=True, - return_state=True, - ) - layer.build(input_dims) - input_dims = (1, 1, config.hidden_dim) - self.lstms.append(layer) - - @override(Model) - def get_initial_state(self): - return { - "h": tf.zeros((self.config.num_layers, self.config.hidden_dim)), - "c": tf.zeros((self.config.num_layers, self.config.hidden_dim)), - } - - @override(Model) - def _forward(self, inputs: Dict, **kwargs) -> Dict: - outputs = {} - - if self.tokenizer is not None: - # Push observations through the tokenizer encoder if we built one. - out = tokenize(self.tokenizer, inputs, framework="tf2") - else: - # Otherwise, just use the raw observations. - out = tf.cast(inputs[Columns.OBS], tf.float32) - - # States are batch-first when coming in. Make them layers-first. - states_in = tree.map_structure( - lambda s: tf.transpose(s, perm=[1, 0, 2]), - inputs[Columns.STATE_IN], - ) - - states_out_h = [] - states_out_c = [] - for i, layer in enumerate(self.lstms): - out, h, c = layer(out, (states_in["h"][i], states_in["c"][i])) - states_out_h.append(h) - states_out_c.append(c) - - # Insert them into the output dict. - outputs[ENCODER_OUT] = out - outputs[Columns.STATE_OUT] = { - "h": tf.stack(states_out_h, 1), - "c": tf.stack(states_out_c, 1), - } - return outputs diff --git a/rllib/core/models/tf/heads.py b/rllib/core/models/tf/heads.py deleted file mode 100644 index e92ee5e0577e..000000000000 --- a/rllib/core/models/tf/heads.py +++ /dev/null @@ -1,198 +0,0 @@ -import numpy as np - -from ray.rllib.core.models.base import Model -from ray.rllib.core.models.configs import ( - CNNTransposeHeadConfig, - FreeLogStdMLPHeadConfig, - MLPHeadConfig, -) -from ray.rllib.core.models.tf.base import TfModel -from ray.rllib.core.models.tf.primitives import TfCNNTranspose, TfMLP -from ray.rllib.models.utils import get_initializer_fn -from ray.rllib.utils import try_import_tf -from ray.rllib.utils.annotations import override - -tf1, tf, tfv = try_import_tf() - - -class TfMLPHead(TfModel): - def __init__(self, config: MLPHeadConfig) -> None: - TfModel.__init__(self, config) - - self.net = TfMLP( - input_dim=config.input_dims[0], - hidden_layer_dims=config.hidden_layer_dims, - hidden_layer_activation=config.hidden_layer_activation, - hidden_layer_use_layernorm=config.hidden_layer_use_layernorm, - hidden_layer_use_bias=config.hidden_layer_use_bias, - hidden_layer_weights_initializer=config.hidden_layer_weights_initializer, - hidden_layer_weights_initializer_config=( - config.hidden_layer_weights_initializer_config - ), - hidden_layer_bias_initializer=config.hidden_layer_bias_initializer, - hidden_layer_bias_initializer_config=( - config.hidden_layer_bias_initializer_config - ), - output_dim=config.output_layer_dim, - output_activation=config.output_layer_activation, - output_use_bias=config.output_layer_use_bias, - output_weights_initializer=config.output_layer_weights_initializer, - output_weights_initializer_config=( - config.output_layer_weights_initializer_config - ), - output_bias_initializer=config.output_layer_bias_initializer, - output_bias_initializer_config=config.output_layer_bias_initializer_config, - ) - # If log standard deviations should be clipped. This should be only true for - # policy heads. Value heads should never be clipped. - self.clip_log_std = config.clip_log_std - # The clipping parameter for the log standard deviation. - self.log_std_clip_param = tf.constant([config.log_std_clip_param]) - - @override(Model) - def _forward(self, inputs: tf.Tensor, **kwargs) -> tf.Tensor: - # Only clip the log standard deviations, if the user wants to clip. This - # avoids also clipping value heads. - if self.clip_log_std: - # Forward pass. - means, log_stds = tf.split(self.net(inputs), num_or_size_splits=2, axis=-1) - # Clip the log standard deviations. - log_stds = tf.clip_by_value( - log_stds, -self.log_std_clip_param, self.log_std_clip_param - ) - return tf.concat([means, log_stds], axis=-1) - # Otherwise just return the logits. - else: - return self.net(inputs) - - -class TfFreeLogStdMLPHead(TfModel): - """An MLPHead that implements floating log stds for Gaussian distributions.""" - - def __init__(self, config: FreeLogStdMLPHeadConfig) -> None: - TfModel.__init__(self, config) - - assert config.output_dims[0] % 2 == 0, "output_dims must be even for free std!" - self._half_output_dim = config.output_dims[0] // 2 - - self.net = TfMLP( - input_dim=config.input_dims[0], - hidden_layer_dims=config.hidden_layer_dims, - hidden_layer_activation=config.hidden_layer_activation, - hidden_layer_use_layernorm=config.hidden_layer_use_layernorm, - hidden_layer_use_bias=config.hidden_layer_use_bias, - hidden_layer_weights_initializer=config.hidden_layer_weights_initializer, - hidden_layer_weights_initializer_config=( - config.hidden_layer_weights_initializer_config - ), - hidden_layer_bias_initializer=config.hidden_layer_bias_initializer, - hidden_layer_bias_initializer_config=( - config.hidden_layer_bias_initializer_config - ), - output_dim=self._half_output_dim, - output_activation=config.output_layer_activation, - output_use_bias=config.output_layer_use_bias, - output_weights_initializer=config.output_layer_weights_initializer, - output_weights_initializer_config=( - config.output_layer_weights_initializer_config - ), - output_bias_initializer=config.output_layer_bias_initializer, - output_bias_initializer_config=config.output_layer_bias_initializer_config, - ) - - self.log_std = tf.Variable( - tf.zeros(self._half_output_dim), - name="log_std", - dtype=tf.float32, - trainable=True, - ) - # If log standard deviations should be clipped. This should be only true for - # policy heads. Value heads should never be clipped. - self.clip_log_std = config.clip_log_std - # The clipping parameter for the log standard deviation. - self.log_std_clip_param = tf.constant([config.log_std_clip_param]) - - @override(Model) - def _forward(self, inputs: tf.Tensor, **kwargs) -> tf.Tensor: - # Compute the mean first, then append the log_std. - mean = self.net(inputs) - # If log standard deviation should be clipped. - if self.clip_log_std: - # Clip log standard deviations to stabilize training. Note, the - # default clip value is `inf`, i.e. no clipping. - log_std = tf.clip_by_value( - self.log_std, -self.log_std_clip_param, self.log_std_clip_param - ) - else: - log_std = self.log_std - log_std_out = tf.tile(tf.expand_dims(log_std, 0), [tf.shape(inputs)[0], 1]) - logits_out = tf.concat([mean, log_std_out], axis=1) - return logits_out - - -class TfCNNTransposeHead(TfModel): - def __init__(self, config: CNNTransposeHeadConfig) -> None: - super().__init__(config) - - # Initial, inactivated Dense layer (always w/ bias). Use the - # hidden layer initializer for this layer. - initial_dense_weights_initializer = get_initializer_fn( - config.initial_dense_weights_initializer, framework="tf2" - ) - initial_dense_bias_initializer = get_initializer_fn( - config.initial_dense_bias_initializer, framework="tf2" - ) - - # This layer is responsible for getting the incoming tensor into a proper - # initial image shape (w x h x filters) for the suceeding Conv2DTranspose stack. - self.initial_dense = tf.keras.layers.Dense( - units=int(np.prod(config.initial_image_dims)), - activation=None, - kernel_initializer=( - initial_dense_weights_initializer( - **config.initial_dense_weights_initializer_config - ) - if config.initial_dense_weights_initializer_config - else initial_dense_weights_initializer - ), - use_bias=True, - bias_initializer=( - initial_dense_bias_initializer( - **config.initial_dense_bias_initializer_config - ) - if config.initial_dense_bias_initializer_config - else initial_dense_bias_initializer - ), - ) - - # The main CNNTranspose stack. - self.cnn_transpose_net = TfCNNTranspose( - input_dims=config.initial_image_dims, - cnn_transpose_filter_specifiers=config.cnn_transpose_filter_specifiers, - cnn_transpose_activation=config.cnn_transpose_activation, - cnn_transpose_use_layernorm=config.cnn_transpose_use_layernorm, - cnn_transpose_use_bias=config.cnn_transpose_use_bias, - cnn_transpose_kernel_initializer=config.cnn_transpose_kernel_initializer, - cnn_transpose_kernel_initializer_config=( - config.cnn_transpose_kernel_initializer_config - ), - cnn_transpose_bias_initializer=config.cnn_transpose_bias_initializer, - cnn_transpose_bias_initializer_config=( - config.cnn_transpose_bias_initializer_config - ), - ) - - @override(Model) - def _forward(self, inputs: tf.Tensor, **kwargs) -> tf.Tensor: - # Push through initial dense layer to get dimensions of first "image". - out = self.initial_dense(inputs) - # Reshape to initial 3D (image-like) format to enter CNN transpose stack. - out = tf.reshape( - out, - shape=(-1,) + tuple(self.config.initial_image_dims), - ) - # Push through CNN transpose stack. - out = self.cnn_transpose_net(out) - # Add 0.5 to center the (always non-activated, non-normalized) outputs more - # around 0.0. - return out + 0.5 diff --git a/rllib/core/models/tf/primitives.py b/rllib/core/models/tf/primitives.py deleted file mode 100644 index 1c5d61bf4f49..000000000000 --- a/rllib/core/models/tf/primitives.py +++ /dev/null @@ -1,429 +0,0 @@ -from typing import Callable, Dict, List, Optional, Tuple, Union - -from ray.rllib.models.utils import get_activation_fn, get_initializer_fn -from ray.rllib.utils.framework import try_import_tf - -_, tf, _ = try_import_tf() - - -class TfMLP(tf.keras.Model): - """A multi-layer perceptron with N dense layers. - - All layers (except for an optional additional extra output layer) share the same - activation function, bias setup (use bias or not), and LayerNorm setup - (use layer normalization or not). - - If `output_dim` (int) is not None, an additional, extra output dense layer is added, - which might have its own activation function (e.g. "linear"). However, the output - layer does NOT use layer normalization. - """ - - def __init__( - self, - *, - input_dim: int, - hidden_layer_dims: List[int], - hidden_layer_use_layernorm: bool = False, - hidden_layer_use_bias: bool = True, - hidden_layer_activation: Optional[Union[str, Callable]] = "relu", - hidden_layer_weights_initializer: Optional[Union[str, Callable]] = None, - hidden_layer_weights_initializer_config: Optional[Dict] = None, - hidden_layer_bias_initializer: Optional[Union[str, Callable]] = None, - hidden_layer_bias_initializer_config: Optional[Dict] = None, - output_dim: Optional[int] = None, - output_use_bias: bool = True, - output_activation: Optional[Union[str, Callable]] = "linear", - output_weights_initializer: Optional[Union[str, Callable]] = None, - output_weights_initializer_config: Optional[Dict] = None, - output_bias_initializer: Optional[Union[str, Callable]] = None, - output_bias_initializer_config: Optional[Dict] = None, - ): - """Initialize a TfMLP object. - - Args: - input_dim: The input dimension of the network. Must not be None. - hidden_layer_dims: The sizes of the hidden layers. If an empty list, only a - single layer will be built of size `output_dim`. - hidden_layer_use_layernorm: Whether to insert a LayerNormalization - functionality in between each hidden layer's output and its activation. - hidden_layer_use_bias: Whether to use bias on all dense layers (excluding - the possible separate output layer). - hidden_layer_activation: The activation function to use after each layer - (except for the output). Either a tf.nn.[activation fn] callable or a - string that's supported by tf.keras.layers.Activation(activation=...), - e.g. "relu", "ReLU", "silu", or "linear". - hidden_layer_weights_initializer: The initializer function or class to use - for weights initialization in the hidden layers. If `None` the default - initializer of the respective dense layer is used. Note, all - initializers defined in `tf.keras.initializers` are allowed. - hidden_layer_weights_initializer_config: Configuration to pass into the - initializer defined in `hidden_layer_weights_initializer`. - hidden_layer_bias_initializer: The initializer function or class to use for - bias initialization in the hidden layers. If `None` the default - initializer of the respective dense layer is used. Note, all - initializers defined in `tf.keras.initializers` are allowed. - hidden_layer_bias_initializer_config: Configuration to pass into the - initializer defined in `hidden_layer_bias_initializer`. - output_dim: The output dimension of the network. If None, no specific output - layer will be added and the last layer in the stack will have - size=`hidden_layer_dims[-1]`. - output_use_bias: Whether to use bias on the separate output layer, - if any. - output_activation: The activation function to use for the output layer - (if any). Either a tf.nn.[activation fn] callable or a string that's - supported by tf.keras.layers.Activation(activation=...), e.g. "relu", - "ReLU", "silu", or "linear". - output_layer_weights_initializer: The initializer function or class to use - for weights initialization in the output layers. If `None` the default - initializer of the respective dense layer is used. Note, all - initializers defined in `tf.keras.initializers` are allowed. - output_layer_weights_initializer_config: Configuration to pass into the - initializer defined in `output_layer_weights_initializer`. - output_layer_bias_initializer: The initializer function or class to use for - bias initialization in the output layers. If `None` the default - initializer of the respective dense layer is used. Note, all - initializers defined in `tf.keras.initializers` are allowed. - output_layer_bias_initializer_config: Configuration to pass into the - initializer defined in `output_layer_bias_initializer`. - """ - super().__init__() - assert input_dim > 0 - - layers = [] - # Input layer. - layers.append(tf.keras.Input(shape=(input_dim,))) - - hidden_activation = get_activation_fn(hidden_layer_activation, framework="tf2") - hidden_weights_initializer = get_initializer_fn( - hidden_layer_weights_initializer, framework="tf2" - ) - hidden_bias_initializer = get_initializer_fn( - hidden_layer_bias_initializer, framework="tf2" - ) - - for i in range(len(hidden_layer_dims)): - # Dense layer with activation (or w/o in case we use LayerNorm, in which - # case the activation is applied after the layer normalization step). - layers.append( - tf.keras.layers.Dense( - hidden_layer_dims[i], - activation=( - hidden_activation if not hidden_layer_use_layernorm else None - ), - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - hidden_weights_initializer( - **hidden_layer_weights_initializer_config - ) - if hidden_layer_weights_initializer_config - else hidden_weights_initializer - ), - use_bias=hidden_layer_use_bias, - bias_initializer=( - hidden_bias_initializer(**hidden_layer_bias_initializer_config) - if hidden_layer_bias_initializer_config - else hidden_bias_initializer - ), - ) - ) - # Add LayerNorm and activation. - if hidden_layer_use_layernorm: - # Use epsilon=1e-5 here (instead of default 1e-3) to be unified - # with torch. - layers.append(tf.keras.layers.LayerNormalization(epsilon=1e-5)) - layers.append(tf.keras.layers.Activation(hidden_activation)) - - output_weights_initializer = get_initializer_fn( - output_weights_initializer, framework="tf2" - ) - output_bias_initializer = get_initializer_fn( - output_bias_initializer, framework="tf2" - ) - - if output_dim is not None: - output_activation = get_activation_fn(output_activation, framework="tf2") - layers.append( - tf.keras.layers.Dense( - output_dim, - activation=output_activation, - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - output_weights_initializer(**output_weights_initializer_config) - if output_weights_initializer_config - else output_weights_initializer - ), - use_bias=output_use_bias, - bias_initializer=( - output_bias_initializer(**output_bias_initializer_config) - if output_bias_initializer_config - else output_bias_initializer - ), - ) - ) - - self.network = tf.keras.Sequential(layers) - - def call(self, inputs, **kwargs): - return self.network(inputs) - - -class TfCNN(tf.keras.Model): - """A model containing a CNN with N Conv2D layers. - - All layers share the same activation function, bias setup (use bias or not), and - LayerNormalization setup (use layer normalization or not). - - Note that there is no flattening nor an additional dense layer at the end of the - stack. The output of the network is a 3D tensor of dimensions [width x height x num - output filters]. - """ - - def __init__( - self, - *, - input_dims: Union[List[int], Tuple[int]], - cnn_filter_specifiers: List[List[Union[int, List]]], - cnn_use_bias: bool = True, - cnn_use_layernorm: bool = False, - cnn_activation: Optional[str] = "relu", - cnn_kernel_initializer: Optional[Union[str, Callable]] = None, - cnn_kernel_initializer_config: Optional[Dict] = None, - cnn_bias_initializer: Optional[Union[str, Callable]] = None, - cnn_bias_initializer_config: Optional[Dict] = None, - ): - """Initializes a TfCNN instance. - - Args: - input_dims: The 3D input dimensions of the network (incoming image). - cnn_filter_specifiers: A list in which each element is another (inner) list - of either the following forms: - `[number of channels/filters, kernel, stride]` - OR: - `[number of channels/filters, kernel, stride, padding]`, where `padding` - can either be "same" or "valid". - When using the first format w/o the `padding` specifier, `padding` is - "same" by default. Also, `kernel` and `stride` may be provided either as - single ints (square) or as a tuple/list of two ints (width- and height - dimensions) for non-squared kernel/stride shapes. - A good rule of thumb for constructing CNN stacks is: - When using padding="same", the input "image" will be reduced in size by - the factor `stride`, e.g. input=(84, 84, 3) stride=2 kernel=x - padding="same" filters=16 -> output=(42, 42, 16). - For example, if you would like to reduce an Atari image from its - original (84, 84, 3) dimensions down to (6, 6, F), you can construct the - following stack and reduce the w x h dimension of the image by 2 in each - layer: - [[16, 4, 2], [32, 4, 2], [64, 4, 2], [128, 4, 2]] -> output=(6, 6, 128) - cnn_use_bias: Whether to use bias on all Conv2D layers. - cnn_activation: The activation function to use after each Conv2D layer. - cnn_use_layernorm: Whether to insert a LayerNormalization functionality - in between each Conv2D layer's outputs and its activation. - cnn_kernel_initializer: The initializer function or class to use for kernel - initialization in the CNN layers. If `None` the default initializer of - the respective CNN layer is used. Note, all initializers defined in - `tf.keras.initializers` are allowed. - cnn_kernel_initializer_config: Configuration to pass into the initializer - defined in `cnn_kernel_initializer`. - cnn_bias_initializer: The initializer function or class to use for bias - initialization in the CNN layers. If `None` the default initializer of - the respective CNN layer is used. Note, all initializers defined in - `tf.keras.initializers` are allowed. - cnn_bias_initializer_config: Configuration to pass into the initializer - defined in `cnn_bias_initializer`. - """ - super().__init__() - - assert len(input_dims) == 3 - - cnn_activation = get_activation_fn(cnn_activation, framework="tf2") - cnn_kernel_initializer = get_initializer_fn( - cnn_kernel_initializer, framework="tf2" - ) - cnn_bias_initializer = get_initializer_fn(cnn_bias_initializer, framework="tf2") - - layers = [] - - # Input layer. - layers.append(tf.keras.layers.Input(shape=input_dims)) - - for filter_specs in cnn_filter_specifiers: - # Padding information not provided -> Use "same" as default. - if len(filter_specs) == 3: - num_filters, kernel_size, strides = filter_specs - padding = "same" - # Padding information provided. - else: - num_filters, kernel_size, strides, padding = filter_specs - - layers.append( - tf.keras.layers.Conv2D( - filters=num_filters, - kernel_size=kernel_size, - strides=strides, - padding=padding, - use_bias=cnn_use_bias, - activation=None if cnn_use_layernorm else cnn_activation, - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - cnn_kernel_initializer(**cnn_kernel_initializer_config) - if cnn_kernel_initializer_config - else cnn_kernel_initializer - ), - bias_initializer=( - cnn_bias_initializer(**cnn_bias_initializer_config) - if cnn_bias_initializer_config - else cnn_bias_initializer - ), - ) - ) - if cnn_use_layernorm: - # Use epsilon=1e-5 here (instead of default 1e-3) to be unified with - # torch. Need to normalize over all axes. - layers.append( - tf.keras.layers.LayerNormalization(axis=[-3, -2, -1], epsilon=1e-5) - ) - layers.append(tf.keras.layers.Activation(cnn_activation)) - - # Create the final CNN network. - self.cnn = tf.keras.Sequential(layers) - - self.expected_input_dtype = tf.float32 - - def call(self, inputs, **kwargs): - return self.cnn(tf.cast(inputs, self.expected_input_dtype)) - - -class TfCNNTranspose(tf.keras.Model): - """A model containing a CNNTranspose with N Conv2DTranspose layers. - - All layers share the same activation function, bias setup (use bias or not), and - LayerNormalization setup (use layer normalization or not), except for the last one, - which is never activated and never layer norm'd. - - Note that there is no reshaping/flattening nor an additional dense layer at the - beginning or end of the stack. The input as well as output of the network are 3D - tensors of dimensions [width x height x num output filters]. - """ - - def __init__( - self, - *, - input_dims: Union[List[int], Tuple[int]], - cnn_transpose_filter_specifiers: List[List[Union[int, List]]], - cnn_transpose_use_bias: bool = True, - cnn_transpose_activation: Optional[str] = "relu", - cnn_transpose_use_layernorm: bool = False, - cnn_transpose_kernel_initializer: Optional[Union[str, Callable]] = None, - cnn_transpose_kernel_initializer_config: Optional[Dict] = None, - cnn_transpose_bias_initializer: Optional[Union[str, Callable]] = None, - cnn_transpose_bias_initializer_config: Optional[Dict] = None, - ): - """Initializes a TfCNNTranspose instance. - - Args: - input_dims: The 3D input dimensions of the network (incoming image). - cnn_transpose_filter_specifiers: A list of lists, where each item represents - one Conv2DTranspose layer. Each such Conv2DTranspose layer is further - specified by the elements of the inner lists. The inner lists follow - the format: `[number of filters, kernel, stride]` to - specify a convolutional-transpose layer stacked in order of the - outer list. - `kernel` as well as `stride` might be provided as width x height tuples - OR as single ints representing both dimension (width and height) - in case of square shapes. - cnn_transpose_use_bias: Whether to use bias on all Conv2DTranspose layers. - cnn_transpose_use_layernorm: Whether to insert a LayerNormalization - functionality in between each Conv2DTranspose layer's outputs and its - activation. - The last Conv2DTranspose layer will not be normed, regardless. - cnn_transpose_activation: The activation function to use after each layer - (except for the last Conv2DTranspose layer, which is always - non-activated). - cnn_transpose_kernel_initializer: The initializer function or class to use - for kernel initialization in the CNN layers. If `None` the default - initializer of the respective CNN layer is used. Note, all initializers - defined in `tf.keras.initializers` are allowed. - cnn_transpose_kernel_initializer_config: Configuration to pass into the - initializer defined in `cnn_transpose_kernel_initializer`. - cnn_transpose_bias_initializer: The initializer function or class to use for - bias initialization in the CNN layers. If `None` the default initializer - of the respective CNN layer is used. Note, only the in-place - initializers, i.e. ending with an underscore "_" are allowed. - cnn_transpose_bias_initializer_config: Configuration to pass into the - initializer defined in `cnn_transpose_bias_initializer`. - """ - super().__init__() - - assert len(input_dims) == 3 - - cnn_transpose_activation = get_activation_fn( - cnn_transpose_activation, framework="tf2" - ) - cnn_transpose_kernel_initializer = get_initializer_fn( - cnn_transpose_kernel_initializer, - framework="tf2", - ) - cnn_transpose_bias_initializer = get_initializer_fn( - cnn_transpose_bias_initializer, framework="tf2" - ) - - layers = [] - - # Input layer. - layers.append(tf.keras.layers.Input(shape=input_dims)) - - for i, (num_filters, kernel_size, strides) in enumerate( - cnn_transpose_filter_specifiers - ): - is_final_layer = i == len(cnn_transpose_filter_specifiers) - 1 - layers.append( - tf.keras.layers.Conv2DTranspose( - filters=num_filters, - kernel_size=kernel_size, - strides=strides, - padding="same", - # Last layer is never activated (regardless of config). - activation=( - None - if cnn_transpose_use_layernorm or is_final_layer - else cnn_transpose_activation - ), - # Note, if the initializer is `None`, we want TensorFlow - # to use its default one. So we pass in `None`. - kernel_initializer=( - cnn_transpose_kernel_initializer( - **cnn_transpose_kernel_initializer_config - ) - if cnn_transpose_kernel_initializer_config - else cnn_transpose_kernel_initializer - ), - # Last layer always uses bias (b/c has no LayerNorm, regardless of - # config). - use_bias=cnn_transpose_use_bias or is_final_layer, - bias_initializer=( - cnn_transpose_bias_initializer( - **cnn_transpose_bias_initializer_config - ) - if cnn_transpose_bias_initializer_config - else cnn_transpose_bias_initializer - ), - ) - ) - if cnn_transpose_use_layernorm and not is_final_layer: - # Use epsilon=1e-5 here (instead of default 1e-3) to be unified with - # torch. Need to normalize over all axes. - layers.append( - tf.keras.layers.LayerNormalization(axis=[-3, -2, -1], epsilon=1e-5) - ) - layers.append(tf.keras.layers.Activation(cnn_transpose_activation)) - - # Create the final CNNTranspose network. - self.cnn_transpose = tf.keras.Sequential(layers) - - self.expected_input_dtype = tf.float32 - - def call(self, inputs, **kwargs): - return self.cnn_transpose(tf.cast(inputs, self.expected_input_dtype)) diff --git a/rllib/core/rl_module/multi_rl_module.py b/rllib/core/rl_module/multi_rl_module.py index c1fff46f26a1..4f3f26ab01a9 100644 --- a/rllib/core/rl_module/multi_rl_module.py +++ b/rllib/core/rl_module/multi_rl_module.py @@ -20,7 +20,6 @@ import gymnasium as gym -from ray.rllib.core.models.specs.typing import SpecType from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleSpec from ray.rllib.utils import force_list from ray.rllib.utils.annotations import ( @@ -466,19 +465,19 @@ def get_checkpointable_components(self) -> List[Tuple[str, Checkpointable]]: return list(self._rl_modules.items()) @override(RLModule) - def output_specs_train(self) -> SpecType: + def output_specs_train(self): return [] @override(RLModule) - def output_specs_inference(self) -> SpecType: + def output_specs_inference(self): return [] @override(RLModule) - def output_specs_exploration(self) -> SpecType: + def output_specs_exploration(self): return [] @override(RLModule) - def _default_input_specs(self) -> SpecType: + def _default_input_specs(self): """MultiRLModule should not check the input specs. The underlying single-agent RLModules will check the input specs. diff --git a/rllib/core/rl_module/rl_module.py b/rllib/core/rl_module/rl_module.py index 3e1c1103b939..5d53b717761a 100644 --- a/rllib/core/rl_module/rl_module.py +++ b/rllib/core/rl_module/rl_module.py @@ -8,7 +8,6 @@ from ray.rllib.core import DEFAULT_MODULE_ID from ray.rllib.core.columns import Columns -from ray.rllib.core.models.specs.typing import SpecType from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig from ray.rllib.models.distributions import Distribution from ray.rllib.utils.annotations import ( @@ -742,29 +741,29 @@ def unwrapped(self) -> "RLModule": """ return self - def output_specs_inference(self) -> SpecType: + def output_specs_inference(self): return [Columns.ACTION_DIST_INPUTS] - def output_specs_exploration(self) -> SpecType: + def output_specs_exploration(self): return [Columns.ACTION_DIST_INPUTS] - def output_specs_train(self) -> SpecType: + def output_specs_train(self): """Returns the output specs of the forward_train method.""" return {} - def input_specs_inference(self) -> SpecType: + def input_specs_inference(self): """Returns the input specs of the forward_inference method.""" return self._default_input_specs() - def input_specs_exploration(self) -> SpecType: + def input_specs_exploration(self): """Returns the input specs of the forward_exploration method.""" return self._default_input_specs() - def input_specs_train(self) -> SpecType: + def input_specs_train(self): """Returns the input specs of the forward_train method.""" return self._default_input_specs() - def _default_input_specs(self) -> SpecType: + def _default_input_specs(self): """Returns the default input specs.""" return [Columns.OBS] diff --git a/rllib/core/rl_module/tf/__init__.py b/rllib/core/rl_module/tf/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/rllib/core/rl_module/tf/tests/__init__.py b/rllib/core/rl_module/tf/tests/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/rllib/core/rl_module/tf/tests/test_tf_rl_module.py b/rllib/core/rl_module/tf/tests/test_tf_rl_module.py deleted file mode 100644 index 2b3a7bb0a9e5..000000000000 --- a/rllib/core/rl_module/tf/tests/test_tf_rl_module.py +++ /dev/null @@ -1,118 +0,0 @@ -import tempfile -import unittest - -import gymnasium as gym -import tensorflow as tf - -from ray.rllib.core.columns import Columns -from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule -from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule -from ray.rllib.utils.test_utils import check - - -class TestTfRLModule(unittest.TestCase): - def test_compilation(self): - - env = gym.make("CartPole-v1") - module = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - - self.assertIsInstance(module, TfRLModule) - - def test_forward_train(self): - - bsize = 1024 - env = gym.make("CartPole-v1") - module = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - obs_shape = env.observation_space.shape - obs = tf.random.uniform((bsize,) + obs_shape) - actions = tf.stack( - [ - tf.convert_to_tensor(env.action_space.sample(), dtype=tf.float32) - for _ in range(bsize) - ] - ) - with tf.GradientTape() as tape: - output = module.forward_train({"obs": obs}) - action_dist_class = module.get_train_action_dist_cls() - action_dist = action_dist_class.from_logits( - output[Columns.ACTION_DIST_INPUTS] - ) - loss = -tf.math.reduce_mean(action_dist.logp(actions)) - - self.assertIsInstance(output, dict) - - grads = tape.gradient(loss, module.trainable_variables) - - # check that all neural net parameters have gradients - for grad in grads: - self.assertIsNotNone(grad) - - def test_forward(self): - """Test forward inference and exploration of""" - - env = gym.make("CartPole-v1") - module = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - - obs_shape = env.observation_space.shape - obs = tf.random.uniform((1,) + obs_shape) - - # just test if the forward pass runs fine - module.forward_inference({"obs": obs}) - module.forward_exploration({"obs": obs}) - - def test_get_set_state(self): - - env = gym.make("CartPole-v1") - module = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - - state = module.get_state() - self.assertIsInstance(state, dict) - - module2 = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - state2 = module2.get_state() - check(state["policy"][0], state2["policy"][0], false=True) - - module2.set_state(state) - state2_after = module2.get_state() - check(state, state2_after) - - def test_checkpointing(self): - env = gym.make("CartPole-v1") - module = DiscreteBCTFModule( - observation_space=env.observation_space, - action_space=env.action_space, - model_config={"fcnet_hiddens": [32]}, - ) - with tempfile.TemporaryDirectory() as tmpdir: - module.save_to_path(tmpdir) - new_module = DiscreteBCTFModule.from_checkpoint(tmpdir) - - check(module.get_state(), new_module.get_state()) - self.assertNotEqual(id(module), id(new_module)) - - -if __name__ == "__main__": - import pytest - import sys - - sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/core/rl_module/tf/tf_rl_module.py b/rllib/core/rl_module/tf/tf_rl_module.py deleted file mode 100644 index 144ba00953e6..000000000000 --- a/rllib/core/rl_module/tf/tf_rl_module.py +++ /dev/null @@ -1,91 +0,0 @@ -from typing import Any, Collection, Dict, Optional, Type, Union - -import gymnasium as gym - -from ray.rllib.core.rl_module.rl_module import RLModule -from ray.rllib.models.tf.tf_distributions import ( - TfCategorical, - TfDiagGaussian, - TfDistribution, -) -from ray.rllib.utils.annotations import override, OverrideToImplementCustomLogic -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.typing import StateDict - -_, tf, _ = try_import_tf() - - -class TfRLModule(tf.keras.Model, RLModule): - """Base class for RLlib TensorFlow RLModules.""" - - framework = "tf2" - - def __init__(self, *args, **kwargs) -> None: - tf.keras.Model.__init__(self) - RLModule.__init__(self, *args, **kwargs) - - def call(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: - """Forward pass of the module. - - Note: - This is aliased to forward_train to follow the Keras Model API. - - Args: - batch: The input batch. This input batch should comply with - input_specs_train(). - **kwargs: Additional keyword arguments. - - Returns: - The output of the forward pass. This output should comply with the - ouptut_specs_train(). - - """ - return self.forward_train(batch) - - @OverrideToImplementCustomLogic - @override(RLModule) - def get_state( - self, - components: Optional[Union[str, Collection[str]]] = None, - *, - not_components: Optional[Union[str, Collection[str]]] = None, - inference_only: bool = False, - **kwargs, - ) -> StateDict: - return self.get_weights() - - @OverrideToImplementCustomLogic - @override(RLModule) - def set_state(self, state: StateDict) -> None: - self.set_weights(state) - - @OverrideToImplementCustomLogic - @override(RLModule) - def get_inference_action_dist_cls(self) -> Type[TfDistribution]: - if self.action_dist_cls is not None: - return self.action_dist_cls - elif isinstance(self.action_space, gym.spaces.Discrete): - return TfCategorical - elif isinstance(self.action_space, gym.spaces.Box): - return TfDiagGaussian - else: - raise ValueError( - f"Default action distribution for action space " - f"{self.action_space} not supported! Either set the " - f"`self.action_dist_cls` property in your RLModule's `setup()` method " - f"to a subclass of `ray.rllib.models.tf.tf_distributions." - f"TfDistribution` or - if you need different distributions for " - f"inference and training - override the three methods: " - f"`get_inference_action_dist_cls`, `get_exploration_action_dist_cls`, " - f"and `get_train_action_dist_cls` in your RLModule." - ) - - @OverrideToImplementCustomLogic - @override(RLModule) - def get_exploration_action_dist_cls(self) -> Type[TfDistribution]: - return self.get_inference_action_dist_cls() - - @OverrideToImplementCustomLogic - @override(RLModule) - def get_train_action_dist_cls(self) -> Type[TfDistribution]: - return self.get_inference_action_dist_cls() diff --git a/rllib/core/testing/bc_algorithm.py b/rllib/core/testing/bc_algorithm.py index 8f5c3bdbf50f..950f2aec87ee 100644 --- a/rllib/core/testing/bc_algorithm.py +++ b/rllib/core/testing/bc_algorithm.py @@ -6,11 +6,8 @@ from ray.rllib.algorithms import Algorithm, AlgorithmConfig from ray.rllib.policy.torch_policy_v2 import TorchPolicyV2 -from ray.rllib.policy.eager_tf_policy_v2 import EagerTFPolicyV2 from ray.rllib.core.testing.torch.bc_module import DiscreteBCTorchModule from ray.rllib.core.testing.torch.bc_learner import BCTorchLearner -from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule -from ray.rllib.core.testing.tf.bc_learner import BCTfLearner from ray.rllib.core.rl_module.rl_module import RLModuleSpec from ray.rllib.utils.annotations import override from ray.rllib.utils.typing import ResultDict @@ -23,14 +20,10 @@ def __init__(self, algo_class=None): def get_default_rl_module_spec(self): if self.framework_str == "torch": return RLModuleSpec(module_class=DiscreteBCTorchModule) - elif self.framework_str == "tf2": - return RLModuleSpec(module_class=DiscreteBCTFModule) def get_default_learner_class(self): if self.framework_str == "torch": return BCTorchLearner - elif self.framework_str == "tf2": - return BCTfLearner class BCAlgorithmTest(Algorithm): @@ -38,8 +31,6 @@ class BCAlgorithmTest(Algorithm): def get_default_policy_class(cls, config: AlgorithmConfig): if config.framework_str == "torch": return TorchPolicyV2 - elif config.framework_str == "tf2": - return EagerTFPolicyV2 else: raise ValueError("Unknown framework: {}".format(config.framework_str)) diff --git a/rllib/core/testing/testing_learner.py b/rllib/core/testing/testing_learner.py index 1e43dd098aa7..a16c0e11ae23 100644 --- a/rllib/core/testing/testing_learner.py +++ b/rllib/core/testing/testing_learner.py @@ -21,11 +21,7 @@ class BaseTestingAlgorithmConfig(AlgorithmConfig): @override(AlgorithmConfig) def get_default_learner_class(self) -> Type["Learner"]: - if self.framework_str == "tf2": - from ray.rllib.core.testing.tf.bc_learner import BCTfLearner - - return BCTfLearner - elif self.framework_str == "torch": + if self.framework_str == "torch": from ray.rllib.core.testing.torch.bc_learner import BCTorchLearner return BCTorchLearner @@ -34,11 +30,7 @@ def get_default_learner_class(self) -> Type["Learner"]: @override(AlgorithmConfig) def get_default_rl_module_spec(self) -> "RLModuleSpecType": - if self.framework_str == "tf2": - from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule - - cls = DiscreteBCTFModule - elif self.framework_str == "torch": + if self.framework_str == "torch": from ray.rllib.core.testing.torch.bc_module import DiscreteBCTorchModule cls = DiscreteBCTorchModule diff --git a/rllib/core/testing/tf/__init__.py b/rllib/core/testing/tf/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/rllib/core/testing/tf/bc_learner.py b/rllib/core/testing/tf/bc_learner.py deleted file mode 100644 index 3c23d3d9732e..000000000000 --- a/rllib/core/testing/tf/bc_learner.py +++ /dev/null @@ -1,34 +0,0 @@ -import tensorflow as tf -from typing import Dict, TYPE_CHECKING - -from ray.rllib.core.columns import Columns -from ray.rllib.core.learner.tf.tf_learner import TfLearner -from ray.rllib.core.testing.testing_learner import BaseTestingLearner -from ray.rllib.utils.typing import ModuleID, TensorType - -if TYPE_CHECKING: - from ray.rllib.algorithms.algorithm_config import AlgorithmConfig - - -class BCTfLearner(TfLearner, BaseTestingLearner): - def compute_loss_for_module( - self, - *, - module_id: ModuleID, - config: "AlgorithmConfig", - batch: Dict, - fwd_out: Dict[str, TensorType], - ) -> TensorType: - BaseTestingLearner.compute_loss_for_module( - self, - module_id=module_id, - config=config, - batch=batch, - fwd_out=fwd_out, - ) - action_dist_inputs = fwd_out[Columns.ACTION_DIST_INPUTS] - action_dist_class = self._module[module_id].get_train_action_dist_cls() - action_dist = action_dist_class.from_logits(action_dist_inputs) - loss = -tf.math.reduce_mean(action_dist.logp(batch[Columns.ACTIONS])) - - return loss diff --git a/rllib/core/testing/tf/bc_module.py b/rllib/core/testing/tf/bc_module.py deleted file mode 100644 index ebe0cfe361be..000000000000 --- a/rllib/core/testing/tf/bc_module.py +++ /dev/null @@ -1,101 +0,0 @@ -import tensorflow as tf -from typing import Any, Dict - -from ray.rllib.core.columns import Columns -from ray.rllib.core.rl_module.rl_module import RLModule -from ray.rllib.core.rl_module.multi_rl_module import MultiRLModule -from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule -from ray.rllib.utils.annotations import override -from ray.rllib.utils.typing import StateDict - - -class DiscreteBCTFModule(TfRLModule): - def setup(self): - input_dim = self.observation_space.shape[0] - hidden_dim = self.model_config["fcnet_hiddens"][0] - output_dim = self.action_space.n - layers = [] - - layers.append(tf.keras.Input(shape=(input_dim,))) - layers.append(tf.keras.layers.ReLU()) - layers.append(tf.keras.layers.Dense(hidden_dim)) - layers.append(tf.keras.layers.ReLU()) - layers.append(tf.keras.layers.Dense(output_dim)) - - self.policy = tf.keras.Sequential(layers) - self._input_dim = input_dim - - def _forward(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: - action_logits = self.policy(batch["obs"]) - return {Columns.ACTION_DIST_INPUTS: action_logits} - - @override(RLModule) - def get_state(self, *args, **kwargs) -> StateDict: - return {"policy": self.policy.get_weights()} - - @override(RLModule) - def set_state(self, state: StateDict) -> None: - self.policy.set_weights(state["policy"]) - - -class BCTfRLModuleWithSharedGlobalEncoder(TfRLModule): - def __init__(self, encoder, local_dim, hidden_dim, action_dim): - super().__init__() - - self.encoder = encoder - self.policy_head = tf.keras.Sequential( - [ - tf.keras.layers.Dense( - hidden_dim + local_dim, - input_shape=(hidden_dim + local_dim,), - activation="relu", - ), - tf.keras.layers.Dense(hidden_dim, activation="relu"), - tf.keras.layers.Dense(action_dim), - ] - ) - - def _forward(self, batch, **kwargs): - obs = batch["obs"] - global_enc = self.encoder(obs["global"]) - policy_in = tf.concat([global_enc, obs["local"]], axis=-1) - action_logits = self.policy_head(policy_in) - - return {Columns.ACTION_DIST_INPUTS: action_logits} - - @override(RLModule) - def _default_input_specs(self): - return [("obs", "global"), ("obs", "local")] - - -class BCTfMultiAgentModuleWithSharedEncoder(MultiRLModule): - def setup(self): - # constructing the global encoder based on the observation_space of the first - # module - module_specs = self.config.modules - module_spec = next(iter(module_specs.values())) - global_dim = module_spec.observation_space["global"].shape[0] - hidden_dim = module_spec.model_config_dict["fcnet_hiddens"][0] - shared_encoder = tf.keras.Sequential( - [ - tf.keras.Input(shape=(global_dim,)), - tf.keras.layers.ReLU(), - tf.keras.layers.Dense(hidden_dim), - ] - ) - - for module_id, module_spec in module_specs.items(): - self._rl_modules[module_id] = module_spec.module_class( - encoder=shared_encoder, - local_dim=module_spec.observation_space["local"].shape[0], - hidden_dim=hidden_dim, - action_dim=module_spec.action_space.n, - ) - - def serialize(self): - # TODO (Kourosh): Implement when needed. - raise NotImplementedError - - def deserialize(self, data): - # TODO (Kourosh): Implement when needed. - raise NotImplementedError diff --git a/rllib/core/testing/torch/bc_module.py b/rllib/core/testing/torch/bc_module.py index d2a5d71c5c16..5b28bb03176f 100644 --- a/rllib/core/testing/torch/bc_module.py +++ b/rllib/core/testing/torch/bc_module.py @@ -5,7 +5,6 @@ from ray.rllib.models.torch.torch_distributions import TorchCategorical from ray.rllib.core.rl_module.multi_rl_module import MultiRLModule from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule -from ray.rllib.core.models.specs.typing import SpecType from ray.rllib.utils.annotations import override from ray.rllib.utils.framework import try_import_torch @@ -36,15 +35,15 @@ def get_inference_action_dist_cls(self): return TorchCategorical @override(RLModule) - def output_specs_exploration(self) -> SpecType: + def output_specs_exploration(self): return [Columns.ACTION_DIST_INPUTS] @override(RLModule) - def output_specs_inference(self) -> SpecType: + def output_specs_inference(self): return [Columns.ACTION_DIST_INPUTS] @override(RLModule) - def output_specs_train(self) -> SpecType: + def output_specs_train(self): return [Columns.ACTION_DIST_INPUTS] @override(RLModule) diff --git a/rllib/models/distributions.py b/rllib/models/distributions.py index bda55acd2770..dac7b108d610 100644 --- a/rllib/models/distributions.py +++ b/rllib/models/distributions.py @@ -1,248 +1,8 @@ -"""This is the next version of action distribution base class.""" -from typing import Tuple -import gymnasium as gym -import abc - -from ray.rllib.utils.annotations import ExperimentalAPI -from ray.rllib.utils.typing import TensorType, Union -from ray.rllib.utils.annotations import override - - -@ExperimentalAPI -class Distribution(abc.ABC): - """The base class for distribution over a random variable. - - Examples: - - .. testcode:: - - import torch - from ray.rllib.core.models.configs import MLPHeadConfig - from ray.rllib.models.torch.torch_distributions import TorchCategorical - - model = MLPHeadConfig(input_dims=[1]).build(framework="torch") - - # Create an action distribution from model logits - action_logits = model(torch.Tensor([[1]])) - action_dist = TorchCategorical.from_logits(action_logits) - action = action_dist.sample() - - # Create another distribution from a dummy Tensor - action_dist2 = TorchCategorical.from_logits(torch.Tensor([0])) - - # Compute some common metrics - logp = action_dist.logp(action) - kl = action_dist.kl(action_dist2) - entropy = action_dist.entropy() - """ - - @abc.abstractmethod - def sample( - self, - *, - sample_shape: Tuple[int, ...] = None, - return_logp: bool = False, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - """Draw a sample from the distribution. - - Args: - sample_shape: The shape of the sample to draw. - return_logp: Whether to return the logp of the sampled values. - **kwargs: Forward compatibility placeholder. - - Returns: - The sampled values. If return_logp is True, returns a tuple of the - sampled values and its logp. - """ - - @abc.abstractmethod - def rsample( - self, - *, - sample_shape: Tuple[int, ...] = None, - return_logp: bool = False, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - """Draw a re-parameterized sample from the action distribution. - - If this method is implemented, we can take gradients of samples w.r.t. the - distribution parameters. - - Args: - sample_shape: The shape of the sample to draw. - return_logp: Whether to return the logp of the sampled values. - **kwargs: Forward compatibility placeholder. - - Returns: - The sampled values. If return_logp is True, returns a tuple of the - sampled values and its logp. - """ - - @abc.abstractmethod - def logp(self, value: TensorType, **kwargs) -> TensorType: - """The log-likelihood of the distribution computed at `value` - - Args: - value: The value to compute the log-likelihood at. - **kwargs: Forward compatibility placeholder. - - Returns: - The log-likelihood of the value. - """ - - @abc.abstractmethod - def kl(self, other: "Distribution", **kwargs) -> TensorType: - """The KL-divergence between two distributions. - - Args: - other: The other distribution. - **kwargs: Forward compatibility placeholder. - - Returns: - The KL-divergence between the two distributions. - """ - - @abc.abstractmethod - def entropy(self, **kwargs) -> TensorType: - """The entropy of the distribution. - - Args: - **kwargs: Forward compatibility placeholder. - - Returns: - The entropy of the distribution. - """ - - @staticmethod - @abc.abstractmethod - def required_input_dim(space: gym.Space, **kwargs) -> int: - """Returns the required length of an input parameter tensor. - - Args: - space: The space this distribution will be used for, - whose shape attributes will be used to determine the required shape of - the input parameter tensor. - **kwargs: Forward compatibility placeholder. - - Returns: - size of the required input vector (minus leading batch dimension). - """ - - @classmethod - def from_logits(cls, logits: TensorType, **kwargs) -> "Distribution": - """Creates a Distribution from logits. - - The caller does not need to have knowledge of the distribution class in order - to create it and sample from it. The passed batched logits vectors might be - split up and are passed to the distribution class' constructor as kwargs. - - Args: - logits: The logits to create the distribution from. - **kwargs: Forward compatibility placeholder. - - Returns: - The created distribution. - - .. testcode:: - - import numpy as np - from ray.rllib.models.distributions import Distribution - - class Uniform(Distribution): - def __init__(self, lower, upper): - self.lower = lower - self.upper = upper - - def sample(self): - return self.lower + (self.upper - self.lower) * np.random.rand() - - def logp(self, x): - ... - - def kl(self, other): - ... - - def entropy(self): - ... - - @staticmethod - def required_input_dim(space): - ... - - def rsample(self): - ... - - @classmethod - def from_logits(cls, logits, **kwargs): - return Uniform(logits[:, 0], logits[:, 1]) - - logits = np.array([[0.0, 1.0], [2.0, 3.0]]) - my_dist = Uniform.from_logits(logits) - sample = my_dist.sample() - """ - raise NotImplementedError - - @classmethod - def get_partial_dist_cls( - parent_cls: "Distribution", **partial_kwargs - ) -> "Distribution": - """Returns a partial child of TorchMultiActionDistribution. - - This is useful if inputs needed to instantiate the Distribution from logits - are available, but the logits are not. - """ - - class DistributionPartial(parent_cls): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - @staticmethod - def _merge_kwargs(**kwargs): - """Checks if keys in kwargs don't clash with partial_kwargs.""" - overlap = set(kwargs) & set(partial_kwargs) - if overlap: - raise ValueError( - f"Cannot override the following kwargs: {overlap}.\n" - f"This is because they were already set at the time this " - f"partial class was defined." - ) - merged_kwargs = {**partial_kwargs, **kwargs} - return merged_kwargs - - @classmethod - @override(parent_cls) - def required_input_dim(cls, space: gym.Space, **kwargs) -> int: - merged_kwargs = cls._merge_kwargs(**kwargs) - assert space == merged_kwargs["space"] - return parent_cls.required_input_dim(**merged_kwargs) - - @classmethod - @override(parent_cls) - def from_logits( - cls, - logits: TensorType, - **kwargs, - ) -> "DistributionPartial": - merged_kwargs = cls._merge_kwargs(**kwargs) - distribution = parent_cls.from_logits(logits, **merged_kwargs) - # Replace the class of the returned distribution with this partial - # This makes it so that we can use type() on this distribution and - # get back the partial class. - distribution.__class__ = cls - return distribution - - # Substitute name of this partial class to match the original class. - DistributionPartial.__name__ = f"{parent_cls}Partial" - - return DistributionPartial - - def to_deterministic(self) -> "Distribution": - """Returns a deterministic equivalent for this distribution. - - Specifically, the deterministic equivalent for a Categorical distribution is a - Deterministic distribution that selects the action with maximum logit value. - Generally, the choice of the deterministic replacement is informed by - established conventions. - """ - return self +from ray.rllib.utils.deprecation import deprecation_warning +from ray.rllib.core.distribution.distribution import Distribution # noqa + +deprecation_warning( + old="ray.rllib.models.distributions.Distribution", + new="ray.rllib.core.distribution.distribution.Distribution", + error=False, +) diff --git a/rllib/models/tf/tf_distributions.py b/rllib/models/tf/tf_distributions.py deleted file mode 100644 index 12dbaf12716a..000000000000 --- a/rllib/models/tf/tf_distributions.py +++ /dev/null @@ -1,552 +0,0 @@ -"""The main difference between this and the old ActionDistribution is that this one -has more explicit input args. So that the input format does not have to be guessed from -the code. This matches the design pattern of torch distribution which developers may -already be familiar with. -""" -import gymnasium as gym -import tree -import numpy as np -from typing import Dict, Iterable, List, Optional -import abc - - -from ray.rllib.models.distributions import Distribution -from ray.rllib.utils.annotations import override, DeveloperAPI -from ray.rllib.utils.framework import try_import_tf, try_import_tfp -from ray.rllib.utils.typing import TensorType, Union, Tuple - - -_, tf, _ = try_import_tf() -tfp = try_import_tfp() - -# TODO (Kourosh) Write unittest for this class similar to torch distributions. - - -@DeveloperAPI -class TfDistribution(Distribution, abc.ABC): - """Wrapper class for tfp.distributions.""" - - def __init__(self, *args, **kwargs): - super().__init__() - self._dist = self._get_tf_distribution(*args, **kwargs) - - @abc.abstractmethod - def _get_tf_distribution(self, *args, **kwargs) -> "tfp.distributions.Distribution": - """Returns the tfp.distributions.Distribution object to use.""" - - @override(Distribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - return self._dist.log_prob(value, **kwargs) - - @override(Distribution) - def entropy(self) -> TensorType: - return self._dist.entropy() - - @override(Distribution) - def kl(self, other: "Distribution") -> TensorType: - return self._dist.kl_divergence(other._dist) - - @override(Distribution) - def sample( - self, *, sample_shape=() - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - sample = self._dist.sample(sample_shape) - return sample - - @override(Distribution) - def rsample( - self, *, sample_shape=() - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - raise NotImplementedError - - -@DeveloperAPI -class TfCategorical(TfDistribution): - r"""Wrapper class for Categorical distribution. - - Creates a categorical distribution parameterized by either :attr:`probs` or - :attr:`logits` (but not both). - - Samples are integers from :math:`\{0, \ldots, K-1\}` where `K` is - ``probs.size(-1)``. - - If `probs` is 1-dimensional with length-`K`, each element is the relative - probability of sampling the class at that index. - - If `probs` is N-dimensional, the first N-1 dimensions are treated as a batch of - relative probability vectors. - - .. testcode:: - :skipif: True - - m = TfCategorical([ 0.25, 0.25, 0.25, 0.25 ]) - m.sample(sample_shape=(2,)) # equal probability of 0, 1, 2, 3 - - .. testoutput:: - - tf.Tensor([2 3], shape=(2,), dtype=int32) - - Args: - probs: The probabilities of each event. - logits: Event log probabilities (unnormalized) - temperature: In case of using logits, this parameter can be used to determine - the sharpness of the distribution. i.e. - ``probs = softmax(logits / temperature)``. The temperature must be strictly - positive. A low value (e.g. 1e-10) will result in argmax sampling while a - larger value will result in uniform sampling. - """ - - @override(TfDistribution) - def __init__( - self, - probs: "tf.Tensor" = None, - logits: "tf.Tensor" = None, - ) -> None: - # We assert this here because to_deterministic makes this assumption. - assert (probs is None) != ( - logits is None - ), "Exactly one out of `probs` and `logits` must be set!" - - self.probs = probs - self.logits = logits - self.one_hot = tfp.distributions.OneHotCategorical(logits=logits, probs=probs) - super().__init__(logits=logits, probs=probs) - - @override(Distribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - # This prevents an error in which float values at the boundaries of the range - # of the distribution are passed to this function. - return -tf.nn.sparse_softmax_cross_entropy_with_logits( - logits=self.logits if self.logits is not None else tf.log(self.probs), - labels=tf.cast(value, tf.int32), - ) - - @override(TfDistribution) - def _get_tf_distribution( - self, - probs: "tf.Tensor" = None, - logits: "tf.Tensor" = None, - ) -> "tfp.distributions.Distribution": - return tfp.distributions.Categorical(probs=probs, logits=logits) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Discrete) - return int(space.n) - - @override(Distribution) - def rsample(self, sample_shape=()): - one_hot_sample = self.one_hot.sample(sample_shape) - return tf.stop_gradients(one_hot_sample - self.probs) + self.probs - - @classmethod - @override(Distribution) - def from_logits(cls, logits: TensorType, **kwargs) -> "TfCategorical": - return TfCategorical(logits=logits, **kwargs) - - def to_deterministic(self) -> "TfDeterministic": - if self.probs is not None: - probs_or_logits = self.probs - else: - probs_or_logits = self.logits - - return TfDeterministic(loc=tf.math.argmax(probs_or_logits, axis=-1)) - - -@DeveloperAPI -class TfDiagGaussian(TfDistribution): - """Wrapper class for Normal distribution. - - Creates a normal distribution parameterized by :attr:`loc` and :attr:`scale`. In - case of multi-dimensional distribution, the variance is assumed to be diagonal. - - .. testcode:: - :skipif: True - - m = TfDiagGaussian(loc=[0.0, 0.0], scale=[1.0, 1.0]) - m.sample(sample_shape=(2,)) # 2d normal dist with loc=0 and scale=1 - - .. testoutput:: - - tensor([[ 0.1046, -0.6120], [ 0.234, 0.556]]) - - .. testcode:: - :skipif: True - - # scale is None - m = TfDiagGaussian(loc=[0.0, 1.0]) - m.sample(sample_shape=(2,)) # normally distributed with loc=0 and scale=1 - - .. testoutput:: - - tensor([0.1046, 0.6120]) - - - Args: - loc: mean of the distribution (often referred to as mu). If scale is None, the - second half of the `loc` will be used as the log of scale. - scale: standard deviation of the distribution (often referred to as sigma). - Has to be positive. - """ - - @override(TfDistribution) - def __init__( - self, - loc: Union[float, TensorType], - scale: Optional[Union[float, TensorType]] = None, - ): - self.loc = loc - super().__init__(loc=loc, scale=scale) - - @override(TfDistribution) - def _get_tf_distribution(self, loc, scale) -> "tfp.distributions.Distribution": - return tfp.distributions.Normal(loc=loc, scale=scale) - - @override(TfDistribution) - def logp(self, value: TensorType) -> TensorType: - return tf.math.reduce_sum(super().logp(value), axis=-1) - - @override(TfDistribution) - def entropy(self) -> TensorType: - return tf.math.reduce_sum(super().entropy(), axis=-1) - - @override(TfDistribution) - def kl(self, other: "TfDistribution") -> TensorType: - return tf.math.reduce_sum(super().kl(other), axis=-1) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Box) - return int(np.prod(space.shape, dtype=np.int32) * 2) - - @override(Distribution) - def rsample(self, sample_shape=()): - eps = tf.random.normal(sample_shape) - return self._dist.loc + eps * self._dist.scale - - @classmethod - @override(Distribution) - def from_logits(cls, logits: TensorType, **kwargs) -> "TfDiagGaussian": - loc, log_std = tf.split(logits, num_or_size_splits=2, axis=-1) - scale = tf.math.exp(log_std) - return TfDiagGaussian(loc=loc, scale=scale) - - def to_deterministic(self) -> "TfDeterministic": - return TfDeterministic(loc=self.loc) - - -@DeveloperAPI -class TfDeterministic(Distribution): - """The distribution that returns the input values directly. - - This is similar to DiagGaussian with standard deviation zero (thus only - requiring the "mean" values as NN output). - - Note: entropy is always zero, ang logp and kl are not implemented. - - .. testcode:: - :skipif: True - - m = TfDeterministic(loc=tf.constant([0.0, 0.0])) - m.sample(sample_shape=(2,)) - - .. testoutput:: - - Tensor([[ 0.0, 0.0], [ 0.0, 0.0]]) - - Args: - loc: the determinsitic value to return - """ - - @override(Distribution) - def __init__(self, loc: "tf.Tensor") -> None: - super().__init__() - self.loc = loc - - @override(Distribution) - def sample( - self, - *, - sample_shape: Tuple[int, ...] = (), - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - shape = sample_shape + self.loc.shape - return tf.ones(shape, dtype=self.loc.dtype) * self.loc - - @override(Distribution) - def rsample( - self, - *, - sample_shape: Tuple[int, ...] = None, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - raise NotImplementedError - - @override(Distribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - return tf.zeros_like(self.loc) - - @override(Distribution) - def entropy(self, **kwargs) -> TensorType: - raise RuntimeError(f"`entropy()` not supported for {self.__class__.__name__}.") - - @override(Distribution) - def kl(self, other: "Distribution", **kwargs) -> TensorType: - raise RuntimeError(f"`kl()` not supported for {self.__class__.__name__}.") - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Box) - return int(np.prod(space.shape, dtype=np.int32)) - - @classmethod - @override(Distribution) - def from_logits(cls, logits: TensorType, **kwargs) -> "TfDeterministic": - return TfDeterministic(loc=logits) - - def to_deterministic(self) -> "TfDeterministic": - return self - - -@DeveloperAPI -class TfMultiCategorical(Distribution): - """MultiCategorical distribution for MultiDiscrete action spaces.""" - - @override(Distribution) - def __init__( - self, - categoricals: List[TfCategorical], - ): - super().__init__() - self._cats = categoricals - - @override(Distribution) - def sample(self) -> TensorType: - arr = [cat.sample() for cat in self._cats] - sample_ = tf.stack(arr, axis=-1) - return sample_ - - @override(Distribution) - def rsample(self, sample_shape=()): - arr = [cat.rsample() for cat in self._cats] - sample_ = tf.stack(arr, axis=-1) - return sample_ - - @override(Distribution) - def logp(self, value: tf.Tensor) -> TensorType: - actions = tf.unstack(tf.cast(value, tf.int32), axis=-1) - logps = tf.stack([cat.logp(act) for cat, act in zip(self._cats, actions)]) - return tf.reduce_sum(logps, axis=0) - - @override(Distribution) - def entropy(self) -> TensorType: - return tf.reduce_sum( - tf.stack([cat.entropy() for cat in self._cats], axis=-1), axis=-1 - ) - - @override(Distribution) - def kl(self, other: Distribution) -> TensorType: - kls = tf.stack( - [cat.kl(oth_cat) for cat, oth_cat in zip(self._cats, other._cats)], axis=-1 - ) - return tf.reduce_sum(kls, axis=-1) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.MultiDiscrete) - return int(np.sum(space.nvec)) - - @classmethod - @override(Distribution) - def from_logits( - cls, - logits: tf.Tensor, - input_lens: List[int], - **kwargs, - ) -> "TfMultiCategorical": - """Creates this Distribution from logits (and additional arguments). - - If you wish to create this distribution from logits only, please refer to - `Distribution.get_partial_dist_cls()`. - - Args: - logits: The tensor containing logits to be separated by logit_lens. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - input_lens: A list of integers that indicate the length of the logits - vectors to be passed into each child distribution. - **kwargs: Forward compatibility kwargs. - """ - categoricals = [ - TfCategorical(logits=logits) - for logits in tf.split(logits, input_lens, axis=-1) - ] - - return TfMultiCategorical(categoricals=categoricals) - - def to_deterministic(self) -> "TfMultiDistribution": - return TfMultiDistribution([cat.to_deterministic() for cat in self._cats]) - - -@DeveloperAPI -class TfMultiDistribution(Distribution): - """Action distribution that operates on multiple, possibly nested actions.""" - - def __init__( - self, - child_distribution_struct: Union[Tuple, List, Dict], - ): - """Initializes a TfMultiDistribution object. - - Args: - child_distribution_struct: Any struct - that contains the child distribution classes to use to - instantiate the child distributions from `logits`. - """ - super().__init__() - self._original_struct = child_distribution_struct - self._flat_child_distributions = tree.flatten(child_distribution_struct) - - @override(Distribution) - def rsample( - self, - *, - sample_shape: Tuple[int, ...] = None, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - rsamples = [] - for dist in self._flat_child_distributions: - rsample = dist.rsample(sample_shape=sample_shape, **kwargs) - rsamples.append(rsample) - - rsamples = tree.unflatten_as(self._original_struct, rsamples) - return rsamples - - @override(Distribution) - def logp(self, value): - # Single tensor input (all merged). - if isinstance(value, (tf.Tensor, np.ndarray)): - split_indices = [] - for dist in self._flat_child_distributions: - if isinstance(dist, TfCategorical): - split_indices.append(1) - elif isinstance(dist, TfMultiCategorical): - split_indices.append(len(dist._cats)) - else: - sample = dist.sample() - # Cover Box(shape=()) case. - if len(sample.shape) == 1: - split_indices.append(1) - else: - split_indices.append(tf.shape(sample)[1]) - split_value = tf.split(value, split_indices, axis=1) - # Structured or flattened (by single action component) input. - else: - split_value = tree.flatten(value) - - def map_(val, dist): - # Remove extra dimension if present. - if ( - isinstance(dist, TfCategorical) - and len(val.shape) > 1 - and val.shape[-1] == 1 - ): - val = tf.squeeze(val, axis=-1) - - return dist.logp(val) - - # Remove extra categorical dimension and take the logp of each - # component. - flat_logps = tree.map_structure( - map_, split_value, self._flat_child_distributions - ) - - return sum(flat_logps) - - @override(Distribution) - def kl(self, other): - kl_list = [ - d.kl(o) - for d, o in zip( - self._flat_child_distributions, other._flat_child_distributions - ) - ] - return sum(kl_list) - - @override(Distribution) - def entropy(self): - entropy_list = [d.entropy() for d in self._flat_child_distributions] - return sum(entropy_list) - - @override(Distribution) - def sample(self): - child_distributions_struct = tree.unflatten_as( - self._original_struct, self._flat_child_distributions - ) - return tree.map_structure(lambda s: s.sample(), child_distributions_struct) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, input_lens: List[int], **kwargs) -> int: - return sum(input_lens) - - @classmethod - @override(Distribution) - def from_logits( - cls, - logits: tf.Tensor, - child_distribution_cls_struct: Union[Dict, Iterable], - input_lens: Union[Dict, List[int]], - space: gym.Space, - **kwargs, - ) -> "TfMultiDistribution": - """Creates this Distribution from logits (and additional arguments). - - If you wish to create this distribution from logits only, please refer to - `Distribution.get_partial_dist_cls()`. - - Args: - logits: The tensor containing logits to be separated by `input_lens`. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - input_lens: A list or dict of integers that indicate the length of each - logit. If this is given as a dict, the structure should match the - structure of child_distribution_cls_struct. - space: The possibly nested output space. - **kwargs: Forward compatibility kwargs. - - Returns: - A TfMultiDistribution object. - """ - logit_lens = tree.flatten(input_lens) - child_distribution_cls_list = tree.flatten(child_distribution_cls_struct) - split_logits = tf.split(logits, logit_lens, axis=1) - - child_distribution_list = tree.map_structure( - lambda dist, input_: dist.from_logits(input_), - child_distribution_cls_list, - list(split_logits), - ) - - child_distribution_struct = tree.unflatten_as( - child_distribution_cls_struct, child_distribution_list - ) - - return TfMultiDistribution( - child_distribution_struct=child_distribution_struct, - ) - - def to_deterministic(self) -> "TfMultiDistribution": - flat_deterministic_dists = [ - dist.to_deterministic for dist in self._flat_child_distributions - ] - deterministic_dists = tree.unflatten_as( - self._original_struct, flat_deterministic_dists - ) - return TfMultiDistribution(deterministic_dists) diff --git a/rllib/models/torch/torch_distributions.py b/rllib/models/torch/torch_distributions.py index c1c3af2675ac..afba9a9a16a6 100644 --- a/rllib/models/torch/torch_distributions.py +++ b/rllib/models/torch/torch_distributions.py @@ -1,707 +1,16 @@ -"""The main difference between this and the old ActionDistribution is that this one -has more explicit input args. So that the input format does not have to be guessed from -the code. This matches the design pattern of torch distribution which developers may -already be familiar with. -""" -import gymnasium as gym -import numpy as np -from typing import Dict, Iterable, List, Optional -import tree -import abc - - -from ray.rllib.models.distributions import Distribution -from ray.rllib.utils.annotations import override, DeveloperAPI -from ray.rllib.utils.framework import try_import_torch -from ray.rllib.utils.numpy import MAX_LOG_NN_OUTPUT, MIN_LOG_NN_OUTPUT, SMALL_NUMBER -from ray.rllib.utils.typing import TensorType, Union, Tuple - -torch, nn = try_import_torch() - - -@DeveloperAPI -class TorchDistribution(Distribution, abc.ABC): - """Wrapper class for torch.distributions.""" - - def __init__(self, *args, **kwargs): - super().__init__() - self._dist = self._get_torch_distribution(*args, **kwargs) - - @abc.abstractmethod - def _get_torch_distribution( - self, *args, **kwargs - ) -> "torch.distributions.Distribution": - """Returns the torch.distributions.Distribution object to use.""" - - @override(Distribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - return self._dist.log_prob(value, **kwargs) - - @override(Distribution) - def entropy(self) -> TensorType: - return self._dist.entropy() - - @override(Distribution) - def kl(self, other: "Distribution") -> TensorType: - return torch.distributions.kl.kl_divergence(self._dist, other._dist) - - @override(Distribution) - def sample( - self, - *, - sample_shape=None, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - sample = self._dist.sample( - sample_shape if sample_shape is not None else torch.Size() - ) - return sample - - @override(Distribution) - def rsample( - self, - *, - sample_shape=None, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - rsample = self._dist.rsample( - sample_shape if sample_shape is not None else torch.Size() - ) - return rsample - - @classmethod - @override(Distribution) - def from_logits(cls, logits: TensorType, **kwargs) -> "TorchDistribution": - return cls(logits=logits, **kwargs) - - -@DeveloperAPI -class TorchCategorical(TorchDistribution): - r"""Wrapper class for PyTorch Categorical distribution. - - Creates a categorical distribution parameterized by either :attr:`probs` or - :attr:`logits` (but not both). - - Samples are integers from :math:`\{0, \ldots, K-1\}` where `K` is - ``probs.size(-1)``. - - If `probs` is 1-dimensional with length-`K`, each element is the relative - probability of sampling the class at that index. - - If `probs` is N-dimensional, the first N-1 dimensions are treated as a batch of - relative probability vectors. - - .. testcode:: - :skipif: True - - m = TorchCategorical(torch.tensor([ 0.25, 0.25, 0.25, 0.25 ])) - m.sample(sample_shape=(2,)) # equal probability of 0, 1, 2, 3 - - .. testoutput:: - - tensor([3, 4]) - - Args: - logits: Event log probabilities (unnormalized) - probs: The probabilities of each event. - temperature: In case of using logits, this parameter can be used to determine - the sharpness of the distribution. i.e. - ``probs = softmax(logits / temperature)``. The temperature must be strictly - positive. A low value (e.g. 1e-10) will result in argmax sampling while a - larger value will result in uniform sampling. - """ - - @override(TorchDistribution) - def __init__( - self, - logits: "torch.Tensor" = None, - probs: "torch.Tensor" = None, - ) -> None: - # We assert this here because to_deterministic makes this assumption. - assert (probs is None) != ( - logits is None - ), "Exactly one out of `probs` and `logits` must be set!" - - self.probs = probs - self.logits = logits - super().__init__(logits=logits, probs=probs) - - # Build this distribution only if really needed (in `self.rsample()`). It's - # quite expensive according to cProfile. - self._one_hot = None - - @override(TorchDistribution) - def _get_torch_distribution( - self, - logits: "torch.Tensor" = None, - probs: "torch.Tensor" = None, - ) -> "torch.distributions.Distribution": - return torch.distributions.categorical.Categorical( - logits=logits, probs=probs, validate_args=False - ) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Discrete) - return int(space.n) - - @override(Distribution) - def rsample(self, sample_shape=()): - if self._one_hot is None: - self._one_hot = torch.distributions.one_hot_categorical.OneHotCategorical( - logits=self.logits, probs=self.probs, validate_args=False - ) - one_hot_sample = self._one_hot.sample(sample_shape) - return (one_hot_sample - self.probs).detach() + self.probs - - def to_deterministic(self) -> "TorchDeterministic": - if self.probs is not None: - probs_or_logits = self.probs - else: - probs_or_logits = self.logits - - return TorchDeterministic(loc=torch.argmax(probs_or_logits, dim=-1)) - - -@DeveloperAPI -class TorchDiagGaussian(TorchDistribution): - """Wrapper class for PyTorch Normal distribution. - - Creates a normal distribution parameterized by :attr:`loc` and :attr:`scale`. In - case of multi-dimensional distribution, the variance is assumed to be diagonal. - - .. testcode:: - :skipif: True - - loc, scale = torch.tensor([0.0, 0.0]), torch.tensor([1.0, 1.0]) - m = TorchDiagGaussian(loc=loc, scale=scale) - m.sample(sample_shape=(2,)) # 2d normal dist with loc=0 and scale=1 - - .. testoutput:: - - tensor([[ 0.1046, -0.6120], [ 0.234, 0.556]]) - - .. testcode:: - :skipif: True - - # scale is None - m = TorchDiagGaussian(loc=torch.tensor([0.0, 1.0])) - m.sample(sample_shape=(2,)) # normally distributed with loc=0 and scale=1 - - .. testoutput:: - - tensor([0.1046, 0.6120]) - - - Args: - loc: mean of the distribution (often referred to as mu). If scale is None, the - second half of the `loc` will be used as the log of scale. - scale: standard deviation of the distribution (often referred to as sigma). - Has to be positive. - """ - - @override(TorchDistribution) - def __init__( - self, - loc: Union[float, "torch.Tensor"], - scale: Optional[Union[float, "torch.Tensor"]], - ): - self.loc = loc - super().__init__(loc=loc, scale=scale) - - def _get_torch_distribution(self, loc, scale) -> "torch.distributions.Distribution": - return torch.distributions.normal.Normal(loc, scale, validate_args=False) - - @override(TorchDistribution) - def logp(self, value: TensorType) -> TensorType: - return super().logp(value).sum(-1) - - @override(TorchDistribution) - def entropy(self) -> TensorType: - return super().entropy().sum(-1) - - @override(TorchDistribution) - def kl(self, other: "TorchDistribution") -> TensorType: - return super().kl(other).sum(-1) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Box) - return int(np.prod(space.shape, dtype=np.int32) * 2) - - @classmethod - @override(Distribution) - def from_logits(cls, logits: TensorType, **kwargs) -> "TorchDiagGaussian": - loc, log_std = logits.chunk(2, dim=-1) - scale = log_std.exp() - return cls(loc=loc, scale=scale) - - def to_deterministic(self) -> "TorchDeterministic": - return TorchDeterministic(loc=self.loc) - - -@DeveloperAPI -class TorchSquashedGaussian(TorchDistribution): - @override(TorchDistribution) - def __init__( - self, - loc: Union[float, "torch.Tensor"], - scale: Optional[Union[float, "torch.Tensor"]] = 1.0, - low: float = -1.0, - high: float = 1.0, - ): - self.loc = loc - self.low = low - self.high = high - - super().__init__(loc=loc, scale=scale) - - def _get_torch_distribution(self, loc, scale) -> "torch.distributions.Distribution": - return torch.distributions.normal.Normal(loc, scale, validate_args=False) - - @override(TorchDistribution) - def sample( - self, *, sample_shape=None - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - # Sample from the Normal distribution. - sample = super().sample( - sample_shape=sample_shape if sample_shape is not None else torch.Size() - ) - # Return the squashed sample. - return self._squash(sample) - - @override(TorchDistribution) - def rsample( - self, *, sample_shape=None - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - # Sample from the Normal distribution. - sample = super().rsample( - sample_shape=sample_shape if sample_shape is not None else torch.Size() - ) - # Return the squashed sample. - return self._squash(sample) - - @override(TorchDistribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - # Unsquash value. - value = self._unsquash(value) - # Get log-probabilities from Normal distribution. - logp = super().logp(value, **kwargs) - # Clip the log probabilities as a safeguard and sum. - logp = torch.clamp(logp, -100, 100).sum(-1) - # Return the log probabilities for squashed Normal. - value = torch.tanh(value) - return logp - torch.log(1 - value**2 + SMALL_NUMBER).sum(-1) - - @override(TorchDistribution) - def entropy(self) -> TensorType: - raise ValueError("ENtropy not defined for `TorchSquashedGaussian`.") - - @override(TorchDistribution) - def kl(self, other: Distribution) -> TensorType: - raise ValueError("KL not defined for `TorchSquashedGaussian`.") - - def _squash(self, sample: TensorType) -> TensorType: - # Rescale the sample to interval given by the bounds (including the bounds). - sample = ((torch.tanh(sample) + 1.0) / 2.0) * (self.high - self.low) + self.low - # Return a clipped sample to comply with the bounds. - return torch.clamp(sample, self.low, self.high) - - def _unsquash(self, sample: TensorType) -> TensorType: - # Rescale to [-1.0, 1.0]. - sample = (sample - self.low) / (self.high - self.low) * 2.0 - 1.0 - # Stabilize input to atanh function. - sample = torch.clamp(sample, -1.0 + SMALL_NUMBER, 1.0 - SMALL_NUMBER) - return torch.atanh(sample) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Box), space - return int(np.prod(space.shape, dtype=np.int32) * 2) - - @classmethod - @override(TorchDistribution) - def from_logits( - cls, logits: TensorType, low: float = -1.0, high: float = 1.0, **kwargs - ) -> "TorchSquashedGaussian": - loc, log_std = logits.chunk(2, dim=-1) - # Clip the `scale` values (coming from the `RLModule.forward()`) to - # reasonable values. - log_std = torch.clamp(log_std, MIN_LOG_NN_OUTPUT, MAX_LOG_NN_OUTPUT) - scale = log_std.exp() - - # Assert that `low` is smaller than `high`. - assert np.all(np.less(low, high)) - # Return class instance. - return cls(loc=loc, scale=scale, low=low, high=high, **kwargs) - - def to_deterministic(self) -> Distribution: - return TorchDeterministic(loc=self.loc) - - -@DeveloperAPI -class TorchDeterministic(Distribution): - """The distribution that returns the input values directly. - - This is similar to DiagGaussian with standard deviation zero (thus only - requiring the "mean" values as NN output). - - Note: entropy is always zero, ang logp and kl are not implemented. - - .. testcode:: - :skipif: True - - m = TorchDeterministic(loc=torch.tensor([0.0, 0.0])) - m.sample(sample_shape=(2,)) - - .. testoutput:: - - tensor([[ 0.0, 0.0], [ 0.0, 0.0]]) - - Args: - loc: the determinsitic value to return - """ - - @override(Distribution) - def __init__(self, loc: "torch.Tensor") -> None: - super().__init__() - self.loc = loc - - @override(Distribution) - def sample( - self, - *, - sample_shape=None, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - device = self.loc.device - dtype = self.loc.dtype - shape = ( - sample_shape if sample_shape is not None else torch.Size() - ) + self.loc.shape - return torch.ones(shape, device=device, dtype=dtype) * self.loc - - def rsample( - self, - *, - sample_shape: Tuple[int, ...] = None, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - raise NotImplementedError - - @override(Distribution) - def logp(self, value: TensorType, **kwargs) -> TensorType: - return torch.zeros_like(self.loc) - - @override(Distribution) - def entropy(self, **kwargs) -> TensorType: - raise RuntimeError(f"`entropy()` not supported for {self.__class__.__name__}.") - - @override(Distribution) - def kl(self, other: "Distribution", **kwargs) -> TensorType: - raise RuntimeError(f"`kl()` not supported for {self.__class__.__name__}.") - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.Box) - return int(np.prod(space.shape, dtype=np.int32)) - - def to_deterministic(self) -> "TorchDeterministic": - return self - - -@DeveloperAPI -class TorchMultiCategorical(Distribution): - """MultiCategorical distribution for MultiDiscrete action spaces.""" - - @override(Distribution) - def __init__( - self, - categoricals: List[TorchCategorical], - ): - super().__init__() - self._cats = categoricals - - @override(Distribution) - def sample(self) -> TensorType: - arr = [cat.sample() for cat in self._cats] - sample_ = torch.stack(arr, dim=-1) - return sample_ - - @override(Distribution) - def rsample(self, sample_shape=()): - arr = [cat.rsample() for cat in self._cats] - sample_ = torch.stack(arr, dim=-1) - return sample_ - - @override(Distribution) - def logp(self, value: "torch.Tensor") -> TensorType: - value = torch.unbind(value, dim=-1) - logps = torch.stack([cat.logp(act) for cat, act in zip(self._cats, value)]) - return torch.sum(logps, dim=0) - - @override(Distribution) - def entropy(self) -> TensorType: - return torch.sum( - torch.stack([cat.entropy() for cat in self._cats], dim=-1), dim=-1 - ) - - @override(Distribution) - def kl(self, other: Distribution) -> TensorType: - kls = torch.stack( - [cat.kl(oth_cat) for cat, oth_cat in zip(self._cats, other._cats)], - dim=-1, - ) - return torch.sum(kls, dim=-1) - - @staticmethod - @override(Distribution) - def required_input_dim(space: gym.Space, **kwargs) -> int: - assert isinstance(space, gym.spaces.MultiDiscrete) - return int(np.sum(space.nvec)) - - @classmethod - @override(Distribution) - def from_logits( - cls, - logits: "torch.Tensor", - input_lens: List[int], - temperatures: List[float] = None, - **kwargs, - ) -> "TorchMultiCategorical": - """Creates this Distribution from logits (and additional arguments). - - If you wish to create this distribution from logits only, please refer to - `Distribution.get_partial_dist_cls()`. - - Args: - logits: The tensor containing logits to be separated by logit_lens. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - input_lens: A list of integers that indicate the length of the logits - vectors to be passed into each child distribution. - temperatures: A list of floats representing the temperature to use for - each Categorical distribution. If not provided, 1.0 is used for all. - **kwargs: Forward compatibility kwargs. - """ - if not temperatures: - # If temperatures are not provided, use 1.0 for all actions. - temperatures = [1.0] * len(input_lens) - - assert ( - sum(input_lens) == logits.shape[-1] - ), "input_lens must sum to logits.shape[-1]" - assert len(input_lens) == len( - temperatures - ), "input_lens and temperatures must be same length" - - categoricals = [ - TorchCategorical(logits=logits) - for logits in torch.split(logits, input_lens, dim=-1) - ] - - return cls(categoricals=categoricals) - - def to_deterministic(self) -> "TorchDeterministic": - """Converts `TorchMultiCategorical` into `TorchDeterministic`.""" - logits_list = [cat.logits for cat in self._cats] - # Check, if the module is recurrent. - is_recurrent = logits_list[0].dim() == 3 # (B, T, K_i) - - # Determine max number of categories across all categorical distributions - max_K = max(logits.shape[-1] for logits in logits_list) - - padded_logits = [] - for logits in logits_list: - # Pad last dimension (category dim) to max_K - pad_width = max_K - logits.shape[-1] - # If the distributions have different number of categories, pad. - if pad_width > 0: - # Pad only last dimension - pad_dims = (0, pad_width) - logits = nn.functional.pad(logits, pad_dims, value=-float("inf")) - padded_logits.append(logits) - - # Stack along new dim=0 (categorical dimension). - # Shape: (num_components, B, T, max_K) or (num_components, B, max_K) - stacked = torch.stack(padded_logits, dim=0) - - # Move categorical dim (0) to last if needed, and take argmax. - if is_recurrent: - # Current shape is (num_components, B, T, K) and we want to have - # (B, T, num_components) via argmax over last dimension. So take - # argmax over last dim (K), then permute. - argmax = torch.argmax(stacked, dim=-1) # shape: (num_components, B, T) - loc = argmax.permute(1, 2, 0) # (B, T, num_components) - else: - # stacked: (num_components, B, K) - # → argmax over last dim (K), shape: (num_components, B) - # → transpose to (B, num_components) - argmax = torch.argmax(stacked, dim=-1) # (num_components, B) - loc = argmax.transpose(0, 1) # (B, num_components) - - return TorchDeterministic(loc=loc) - - -@DeveloperAPI -class TorchMultiDistribution(Distribution): - """Action distribution that operates on multiple, possibly nested actions.""" - - def __init__( - self, - child_distribution_struct: Union[Tuple, List, Dict], - ): - """Initializes a TorchMultiDistribution object. - - Args: - child_distribution_struct: A complex struct that contains the child - distribution instances that make up this multi-distribution. - """ - super().__init__() - self._original_struct = child_distribution_struct - self._flat_child_distributions = tree.flatten(child_distribution_struct) - - @override(Distribution) - def rsample( - self, - *, - sample_shape: Tuple[int, ...] = None, - **kwargs, - ) -> Union[TensorType, Tuple[TensorType, TensorType]]: - rsamples = [] - for dist in self._flat_child_distributions: - rsample = dist.rsample(sample_shape=sample_shape, **kwargs) - rsamples.append(rsample) - - rsamples = tree.unflatten_as(self._original_struct, rsamples) - - return rsamples - - @override(Distribution) - def logp(self, value: TensorType) -> TensorType: - # Different places in RLlib use this method with different inputs. - # We therefore need to handle a flattened and concatenated input, as well as - # a nested one. - # TODO(Artur): Deprecate tensor inputs, only allow nested structures. - if isinstance(value, torch.Tensor): - split_indices = [] - for dist in self._flat_child_distributions: - if isinstance(dist, TorchCategorical): - split_indices.append(1) - elif isinstance(dist, TorchMultiCategorical): - split_indices.append(len(dist._cats)) - else: - sample = dist.sample() - # Cover Box(shape=()) case. - if len(sample.shape) == 1: - split_indices.append(1) - else: - split_indices.append(sample.size()[1]) - split_value = list(torch.split(value, split_indices, dim=1)) - else: - split_value = tree.flatten(value) - - def map_(val, dist): - # Remove extra dimension if present. - if ( - isinstance(dist, TorchCategorical) - and val.shape[-1] == 1 - and len(val.shape) > 1 - ): - val = torch.squeeze(val, dim=-1) - return dist.logp(val) - - flat_logps = tree.map_structure( - map_, split_value, self._flat_child_distributions - ) - - return sum(flat_logps) - - @override(Distribution) - def kl(self, other: Distribution) -> TensorType: - kl_list = [ - d.kl(o) - for d, o in zip( - self._flat_child_distributions, other._flat_child_distributions - ) - ] - return sum(kl_list) - - @override(Distribution) - def entropy(self): - entropy_list = [d.entropy() for d in self._flat_child_distributions] - return sum(entropy_list) - - @override(Distribution) - def sample(self): - child_distributions_struct = tree.unflatten_as( - self._original_struct, self._flat_child_distributions - ) - return tree.map_structure(lambda s: s.sample(), child_distributions_struct) - - @staticmethod - @override(Distribution) - def required_input_dim( - space: gym.Space, input_lens: List[int], as_list: bool = False, **kwargs - ) -> int: - if as_list: - return input_lens - else: - return sum(input_lens) - - @classmethod - @override(Distribution) - def from_logits( - cls, - logits: "torch.Tensor", - child_distribution_cls_struct: Union[Dict, Iterable], - input_lens: Union[Dict, List[int]], - **kwargs, - ) -> "TorchMultiDistribution": - """Creates this Distribution from logits (and additional arguments). - - If you wish to create this distribution from logits only, please refer to - `Distribution.get_partial_dist_cls()`. - - Args: - logits: The tensor containing logits to be separated by `input_lens`. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - child_distribution_cls_struct: A struct of Distribution classes that can - be instantiated from the given logits. - input_lens: A list or dict of integers that indicate the length of each - logit. If this is given as a dict, the structure should match the - structure of child_distribution_cls_struct. - **kwargs: Forward compatibility kwargs. - - Returns: - A TorchMultiDistribution object. - """ - logit_lens = tree.flatten(input_lens) - child_distribution_cls_list = tree.flatten(child_distribution_cls_struct) - split_logits = torch.split(logits, logit_lens, dim=-1) - - child_distribution_list = tree.map_structure( - lambda dist, input_: dist.from_logits(input_), - child_distribution_cls_list, - list(split_logits), - ) - - child_distribution_struct = tree.unflatten_as( - child_distribution_cls_struct, child_distribution_list - ) - - return cls( - child_distribution_struct=child_distribution_struct, - ) - - def to_deterministic(self) -> "TorchMultiDistribution": - flat_deterministic_dists = [ - dist.to_deterministic() for dist in self._flat_child_distributions - ] - deterministic_dists = tree.unflatten_as( - self._original_struct, flat_deterministic_dists - ) - return TorchMultiDistribution(deterministic_dists) +from ray.rllib.utils.deprecation import deprecation_warning +from ray.rllib.core.distribution.torch.torch_distribution import ( # noqa + TorchDistribution, + TorchCategorical, + TorchDiagGaussian, + TorchSquashedGaussian, + TorchDeterministic, + TorchMultiCategorical, + TorchMultiDistribution, +) + +deprecation_warning( + old="ray.rllib.models.torch.torch_distributions.TorchDistribution", + new="ray.rllib.core.distribution.torch.torch_distribution.TorchDistribution", + error=False, +) From 4075b4c7e90691b2fb03d09aeda604ec21504ed2 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Thu, 31 Jul 2025 23:03:25 +0530 Subject: [PATCH 0430/1566] [core] Add Task Profile events to Ray events schema (#54957) Adding taskProfileEvents to RayEvents schema as part of the OneEvents effort. Signed-off-by: sampan Signed-off-by: Sampan S Nayak Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../aggregator/tests/test_aggregator_agent.py | 91 +++++++++++++++++++ src/ray/protobuf/BUILD.bazel | 27 ++++++ src/ray/protobuf/events_base_event.proto | 5 +- .../protobuf/events_task_profile_events.proto | 30 ++++++ src/ray/protobuf/export_task_event.proto | 26 +----- src/ray/protobuf/gcs.proto | 26 +----- src/ray/protobuf/profile_events.proto | 44 +++++++++ 7 files changed, 198 insertions(+), 51 deletions(-) create mode 100644 src/ray/protobuf/events_task_profile_events.proto create mode 100644 src/ray/protobuf/profile_events.proto diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index c5df45360876..456a11029248 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -27,6 +27,8 @@ TaskEventsMetadata, ) from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry +from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents from ray.core.generated.common_pb2 import TaskAttempt @@ -364,5 +366,94 @@ def test_aggregator_agent_receive_empty_events( assert reply.status.message == "all events received" +@_with_aggregator_port +def test_aggregator_agent_receive_profile_events( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + ) + + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + + test_time = 1751302230130457542 + seconds, nanos = (test_time // 10**9, test_time % 10**9) + timestamp = Timestamp(seconds=seconds, nanos=nanos) + + request = AddEventRequest( + events_data=RayEventsData( + events=[ + RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_PROFILE_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + message="profile event test", + task_profile_events=TaskProfileEvents( + task_id=b"100", + attempt_number=3, + job_id=b"200", + profile_events=ProfileEvents( + component_type="worker", + component_id=b"worker_123", + node_ip_address="127.0.0.1", + events=[ + ProfileEventEntry( + start_time=1751302230130000000, + end_time=1751302230131000000, + event_name="task_execution", + extra_data='{"cpu_usage": 0.8}', + ) + ], + ), + ), + ), + ], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + + reply = stub.AddEvents(request) + assert reply.status.code == 0 + assert reply.status.message == "all events received" + + wait_for_condition(lambda: len(httpserver.log) == 1) + + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + + assert len(req_json) == 1 + assert req_json[0]["eventId"] == base64.b64encode(b"1").decode() + assert req_json[0]["sourceType"] == "CORE_WORKER" + assert req_json[0]["eventType"] == "TASK_PROFILE_EVENT" + assert req_json[0]["severity"] == "INFO" + assert req_json[0]["message"] == "profile event test" + assert req_json[0]["timestamp"] == "2025-06-30T16:50:30.130457542Z" + + # Verify task profile event specific fields + assert "taskProfileEvents" in req_json[0] + task_profile_events = req_json[0]["taskProfileEvents"] + assert task_profile_events["taskId"] == base64.b64encode(b"100").decode() + assert task_profile_events["attemptNumber"] == 3 + assert task_profile_events["jobId"] == base64.b64encode(b"200").decode() + + # Verify profile event specific fields + profile_event = task_profile_events["profileEvents"] + assert profile_event["componentType"] == "worker" + assert profile_event["componentId"] == base64.b64encode(b"worker_123").decode() + assert profile_event["nodeIpAddress"] == "127.0.0.1" + assert len(profile_event["events"]) == 1 + + event_entry = profile_event["events"][0] + assert event_entry["eventName"] == "task_execution" + assert event_entry["startTime"] == "1751302230130000000" + assert event_entry["endTime"] == "1751302230131000000" + assert event_entry["extraData"] == '{"cpu_usage": 0.8}' + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 9a91cdee0c05..3704b9f6de96 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -18,12 +18,24 @@ cc_proto_library( deps = [":common_proto"], ) +proto_library( + name = "profile_events_proto", + srcs = ["profile_events.proto"], + visibility = ["//java:__subpackages__"], +) + +cc_proto_library( + name = "profile_events_cc_proto", + deps = [":profile_events_proto"], +) + proto_library( name = "gcs_proto", srcs = ["gcs.proto"], visibility = ["//java:__subpackages__"], deps = [ ":common_proto", + ":profile_events_proto", ":runtime_env_common_proto", ], ) @@ -212,6 +224,7 @@ proto_library( deps = [ ":common_proto", ":export_runtime_env_proto", + ":profile_events_proto", ], ) @@ -418,6 +431,19 @@ cc_proto_library( deps = [":events_task_execution_event_proto"], ) +proto_library( + name = "events_task_profile_events_proto", + srcs = ["events_task_profile_events.proto"], + deps = [ + ":profile_events_proto", + ], +) + +cc_proto_library( + name = "events_task_profile_events_cc_proto", + deps = [":events_task_profile_events_proto"], +) + proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], @@ -426,6 +452,7 @@ proto_library( ":events_actor_task_execution_event_proto", ":events_task_definition_event_proto", ":events_task_execution_event_proto", + ":events_task_profile_events_proto", "@com_google_protobuf//:timestamp_proto", ], ) diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index 32a2eabeb574..bbedfe4a1b9c 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -21,6 +21,7 @@ import "src/ray/protobuf/events_actor_task_definition_event.proto"; import "src/ray/protobuf/events_actor_task_execution_event.proto"; import "src/ray/protobuf/events_task_definition_event.proto"; import "src/ray/protobuf/events_task_execution_event.proto"; +import "src/ray/protobuf/events_task_profile_events.proto"; // This is the base message for all ray events. message RayEvent { @@ -42,6 +43,7 @@ message RayEvent { TASK_EXECUTION_EVENT = 2; ACTOR_TASK_DEFINITION_EVENT = 3; ACTOR_TASK_EXECUTION_EVENT = 4; + TASK_PROFILE_EVENT = 5; } // The severities of events that can be generated. @@ -74,9 +76,10 @@ message RayEvent { string message = 6; // Nested event messages containing the specific fields for each event type. - // One of the following fields is expeceted to be set for each RayEvent message. + // One of the following fields is expected to be set for each RayEvent message. TaskDefinitionEvent task_definition_event = 7; TaskExecutionEvent task_execution_event = 8; ActorTaskDefinitionEvent actor_task_definition_event = 9; ActorTaskExecutionEvent actor_task_execution_event = 10; + TaskProfileEvents task_profile_events = 11; } diff --git a/src/ray/protobuf/events_task_profile_events.proto b/src/ray/protobuf/events_task_profile_events.proto new file mode 100644 index 000000000000..04106f191062 --- /dev/null +++ b/src/ray/protobuf/events_task_profile_events.proto @@ -0,0 +1,30 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc.events; + +import "src/ray/protobuf/profile_events.proto"; + +message TaskProfileEvents { + // Metadata shared by all event types. + bytes task_id = 1; + // The current retry attempt number for the task. + int32 attempt_number = 2; + // Job id of the task + bytes job_id = 3; + // Task profiling events. + ray.rpc.ProfileEvents profile_events = 4; +} diff --git a/src/ray/protobuf/export_task_event.proto b/src/ray/protobuf/export_task_event.proto index ce594dc29c43..8c60ec260232 100644 --- a/src/ray/protobuf/export_task_event.proto +++ b/src/ray/protobuf/export_task_event.proto @@ -18,6 +18,7 @@ package ray.rpc; import "src/ray/protobuf/common.proto"; import "src/ray/protobuf/export_runtime_env.proto"; +import "src/ray/protobuf/profile_events.proto"; // ExportTaskEventData defines the event_data stored by the export API // for EXPORT_TASK type events. This schema is public and any changes must @@ -92,31 +93,6 @@ message ExportTaskEventData { map label_selector = 11; } - message ProfileEventEntry { - // The start timestamp of the event time. - int64 start_time = 1; - // The end timestamp of the event. Empty if it's a point event, e.g. TaskStatus - // change. - int64 end_time = 2; - // Additional data associated with the event. This data must be serialized - // using JSON. - optional string extra_data = 3; - // Customized event name if not a TaskStatus change point event. - string event_name = 4; - } - - message ProfileEvents { - // The type of the component that generated the event, e.g., worker or - // object_manager, or node_manager. - string component_type = 1; - // An identifier for the component that generated the event. - bytes component_id = 2; - // Node IP address. - string node_ip_address = 3; - // Events. - repeated ProfileEventEntry events = 4; - } - // Metadata shared by all event types. bytes task_id = 1; // The current retry attempt number for the task. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index 8dbbc8cbb3fd..ac450bdcf8d9 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -17,6 +17,7 @@ syntax = "proto3"; package ray.rpc; import "src/ray/protobuf/common.proto"; +import "src/ray/protobuf/profile_events.proto"; option java_package = "io.ray.runtime.generated"; @@ -174,31 +175,6 @@ message ErrorTableData { double timestamp = 4; } -message ProfileEventEntry { - // The start timestamp of the event time. - int64 start_time = 1; - // The end timestamp of the event. Empty if it's a point event, e.g. TaskStatus - // change. - int64 end_time = 2; - // Additional data associated with the event. This data must be serialized - // using JSON. - optional string extra_data = 3; - // Customized event name if not a TaskStatus change point event. - string event_name = 4; -} - -message ProfileEvents { - // The type of the component that generated the event, e.g., worker or - // object_manager, or node_manager. - string component_type = 1; - // An identifier for the component that generated the event. - bytes component_id = 2; - // Node IP address. - string node_ip_address = 3; - // Events. - repeated ProfileEventEntry events = 4; -} - // Represents the info of a worker's log file for which executes the task. message TaskLogInfo { // stdout log file absolute path. diff --git a/src/ray/protobuf/profile_events.proto b/src/ray/protobuf/profile_events.proto new file mode 100644 index 000000000000..53db38820f63 --- /dev/null +++ b/src/ray/protobuf/profile_events.proto @@ -0,0 +1,44 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc; + +option java_package = "io.ray.runtime.generated"; + +message ProfileEventEntry { + // The start timestamp of the event time. + int64 start_time = 1; + // The end timestamp of the event. Empty if it's a point event, e.g. TaskStatus + // change. + int64 end_time = 2; + // Additional data associated with the event. This data must be serialized + // using JSON. + optional string extra_data = 3; + // Customized event name if not a TaskStatus change point event. + string event_name = 4; +} + +message ProfileEvents { + // The type of the component that generated the event, e.g., worker or + // object_manager, or node_manager. + string component_type = 1; + // An identifier for the component that generated the event. + bytes component_id = 2; + // Node IP address. + string node_ip_address = 3; + // Events. + repeated ProfileEventEntry events = 4; +} From cb0257faf4697a352db55baebc7f38db19f61745 Mon Sep 17 00:00:00 2001 From: Chi-Sheng Liu Date: Fri, 1 Aug 2025 02:38:48 +0800 Subject: [PATCH 0431/1566] [Feat][Core] Don't count actor restarts due to node preemption towards max_restarts (#54175) We decided that actor restarts due to node preemption should not count toward max_restarts. --------- Signed-off-by: Chi-Sheng Liu Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: Rueian Co-authored-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/tests/test_draining.py | 66 ++++++++++++++ python/ray/util/state/common.py | 4 + src/ray/gcs/gcs_server/gcs_actor_manager.cc | 19 ++++- src/ray/gcs/gcs_server/gcs_actor_manager.h | 2 + .../gcs_server/test/gcs_actor_manager_test.cc | 85 +++++++++++++++++++ src/ray/gcs/pb_util.h | 6 +- src/ray/protobuf/gcs.proto | 2 + 7 files changed, 180 insertions(+), 4 deletions(-) diff --git a/python/ray/tests/test_draining.py b/python/ray/tests/test_draining.py index 3c2a018369ac..ccac5097c2cf 100644 --- a/python/ray/tests/test_draining.py +++ b/python/ray/tests/test_draining.py @@ -434,6 +434,72 @@ def ping(self): assert "the actor's node was preempted: " + drain_reason_message in str(e) +def test_drain_node_actor_restart(ray_start_cluster): + cluster = ray_start_cluster + cluster.add_node(num_cpus=1, resources={"head": 1}) + ray.init(address=cluster.address) + + gcs_client = GcsClient(address=ray.get_runtime_context().gcs_address) + + @ray.remote(max_restarts=1) + class Actor: + def get_node_id(self): + return ray.get_runtime_context().get_node_id() + + # Prepare the first worker node for the actor. + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + cluster.wait_for_nodes() + + actor = Actor.options(num_cpus=0, resources={"worker": 1}).remote() + + def actor_started(): + node_id = ray.get(actor.get_node_id.remote()) + return node_id == cur_worker.node_id + + wait_for_condition(actor_started, timeout=5) + + # Kill the current worker node. + cluster.remove_node(cur_worker, True) + + # Prepare a new worker node for the actor to be restarted on later. + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + cluster.wait_for_nodes() + + # Make sure the actor is restarted on the new worker node. + # This should be counted into the max_restarts of the actor. + wait_for_condition(actor_started, timeout=5) + + # Preemption the current worker node. + is_accepted, _ = gcs_client.drain_node( + cur_worker.node_id, + autoscaler_pb2.DrainNodeReason.Value("DRAIN_NODE_REASON_PREEMPTION"), + "preemption", + 1, + ) + assert is_accepted + cluster.remove_node(cur_worker, True) + + # Prepare a new worker node for the actor to be restarted on later. + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + cluster.wait_for_nodes() + + # Make sure the actor is restarted on the new worker node. + # This should not be counted into the max_restarts of the actor because the actor was preempted. + wait_for_condition(actor_started, timeout=5) + + # Kill the current worker node. + cluster.remove_node(cur_worker, True) + + # Prepare a new worker node, however, the actor should not be restarted on this node, since + # the max_restarts is reached. + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + cluster.wait_for_nodes() + + # The actor should not be restarted, thus an exception should be raised. + with pytest.raises(RuntimeError): + wait_for_condition(actor_started, timeout=5) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/util/state/common.py b/python/ray/util/state/common.py index c1ed09469825..18fb6eeafc75 100644 --- a/python/ray/util/state/common.py +++ b/python/ray/util/state/common.py @@ -512,6 +512,10 @@ class ActorState(StateSchema): num_restarts_due_to_lineage_reconstruction: int = state_column( filterable=False, detail=True ) + #: Number of times this actor is restarted due to node preemption. + num_restarts_due_to_node_preemption: int = state_column( + filterable=False, detail=True + ) #: The call site of the actor creation. call_site: Optional[str] = state_column(detail=True, filterable=False) #: The label selector for the actor. diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 646964a025af..966e0fc133e3 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -1426,6 +1426,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, } return; } + auto &actor = iter->second; auto node_id = actor->GetNodeID(); auto worker_id = actor->GetWorkerID(); @@ -1434,6 +1435,8 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, // so that the actor will never be rescheduled. int64_t max_restarts = mutable_actor_table_data->max_restarts(); uint64_t num_restarts = mutable_actor_table_data->num_restarts(); + uint64_t num_restarts_due_to_node_preemption = + mutable_actor_table_data->num_restarts_due_to_node_preemption(); int64_t remaining_restarts; // Destroy placement group owned by this actor. @@ -1443,7 +1446,8 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, } else if (max_restarts == -1) { remaining_restarts = -1; } else { - int64_t remaining = max_restarts - num_restarts; + // Restarts due to node preemption do not count towards max_restarts. + int64_t remaining = max_restarts - num_restarts + num_restarts_due_to_node_preemption; remaining_restarts = std::max(remaining, static_cast(0)); } @@ -1451,11 +1455,19 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, << "Actor is failed on worker " << worker_id << " at node " << node_id << ", need_reschedule = " << need_reschedule << ", death context type = " << GetActorDeathCauseString(death_cause) - << ", remaining_restarts = " << remaining_restarts; + << ", remaining_restarts = " << remaining_restarts + << ", num_restarts = " << num_restarts + << ", num_restarts_due_to_node_preemption = " << num_restarts_due_to_node_preemption + << ", preempted = " << mutable_actor_table_data->preempted(); - if (remaining_restarts != 0) { + if (remaining_restarts != 0 || + (need_reschedule && max_restarts > 0 && mutable_actor_table_data->preempted())) { // num_restarts must be set before updating GCS, or num_restarts will be inconsistent // between memory cache and storage. + if (mutable_actor_table_data->preempted()) { + mutable_actor_table_data->set_num_restarts_due_to_node_preemption( + num_restarts_due_to_node_preemption + 1); + } mutable_actor_table_data->set_num_restarts(num_restarts + 1); actor->UpdateState(rpc::ActorTableData::RESTARTING); // Make sure to reset the address before flushing to GCS. Otherwise, @@ -1600,6 +1612,7 @@ void GcsActorManager::OnActorCreationSuccess(const std::shared_ptr &ac auto node_id = actor->GetNodeID(); mutable_actor_table_data->set_node_id(node_id.Binary()); mutable_actor_table_data->set_repr_name(reply.actor_repr_name()); + mutable_actor_table_data->set_preempted(false); RAY_CHECK(!worker_id.IsNil()); RAY_CHECK(!node_id.IsNil()); RAY_CHECK(created_actors_[node_id].emplace(worker_id, actor_id).second); diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 7b2889bc9d15..0e8e61678ca4 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -611,6 +611,8 @@ class GcsActorManager : public rpc::ActorInfoHandler { actor_delta.mutable_death_cause()->CopyFrom(actor.death_cause()); actor_delta.mutable_address()->CopyFrom(actor.address()); actor_delta.set_num_restarts(actor.num_restarts()); + actor_delta.set_num_restarts_due_to_node_preemption( + actor.num_restarts_due_to_node_preemption()); actor_delta.set_max_restarts(actor.max_restarts()); actor_delta.set_timestamp(actor.timestamp()); actor_delta.set_pid(actor.pid()); diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc index 5ea63a0927e1..5b41f25778ab 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc @@ -1643,6 +1643,91 @@ TEST_F(GcsActorManagerTest, TestDestroyWhileRegistering) { ASSERT_TRUE(gcs_actor_manager_->GetRegisteredActors().empty()); } +TEST_F(GcsActorManagerTest, TestRestartPreemptedActor) { + // This test verifies that when an actor is preempted, calling OnWorkerDead + // does not increment the num_restarts counter and still restarts the actor. + auto job_id = JobID::FromInt(1); + auto registered_actor = RegisterActor(job_id, + /*max_restarts=*/1, + /*detached=*/false); + rpc::CreateActorRequest create_actor_request; + create_actor_request.mutable_task_spec()->CopyFrom( + registered_actor->GetCreationTaskSpecification().GetMessage()); + + Status status = + gcs_actor_manager_->CreateActor(create_actor_request, + [](const std::shared_ptr &actor, + const rpc::PushTaskReply &reply, + const Status &status) {}); + RAY_CHECK_OK(status); + + ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); + auto actor = mock_actor_scheduler_->actors.back(); + mock_actor_scheduler_->actors.pop_back(); + + // Make the actor alive on a specific node + auto address = RandomAddress(); + auto node_id = NodeID::FromBinary(address.raylet_id()); + auto worker_id = WorkerID::FromBinary(address.worker_id()); + actor->UpdateAddress(address); + gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); + io_service_.run_one(); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); + + // Initially num_restarts should be 0 + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 0); + ASSERT_FALSE(actor->GetActorTableData().preempted()); + + // First restart: actor is NOT preempted, so num_restarts should increment + gcs_actor_manager_->OnWorkerDead(node_id, worker_id); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::RESTARTING); + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 1); // Should increment + ASSERT_FALSE(actor->GetActorTableData().preempted()); + + // Make the actor alive on a specific node again. + auto new_address = RandomAddress(); + auto new_node_id = NodeID::FromBinary(new_address.raylet_id()); + auto new_worker_id = WorkerID::FromBinary(new_address.worker_id()); + actor->UpdateAddress(new_address); + gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); + io_service_.run_one(); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 1); + ASSERT_EQ(actor->GetActorTableData().num_restarts_due_to_node_preemption(), 0); + + // Now set the actor as preempted using SetPreemptedAndPublish + gcs_actor_manager_->SetPreemptedAndPublish(new_node_id); + io_service_.run_one(); + ASSERT_TRUE(actor->GetActorTableData().preempted()); + + // Second restart: actor is preempted, so num_restarts and + // num_restarts_due_to_node_preemption should increment + gcs_actor_manager_->OnWorkerDead(new_node_id, new_worker_id); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::RESTARTING); + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 2); // Should increment + ASSERT_EQ(actor->GetActorTableData().num_restarts_due_to_node_preemption(), 1); + + // Make the actor alive on another node again + auto new_address_2 = RandomAddress(); + auto new_node_id_2 = NodeID::FromBinary(new_address_2.raylet_id()); + auto new_worker_id_2 = WorkerID::FromBinary(new_address_2.worker_id()); + actor->UpdateAddress(new_address_2); + gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); + io_service_.run_one(); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 2); + ASSERT_EQ(actor->GetActorTableData().num_restarts_due_to_node_preemption(), 1); + ASSERT_FALSE(actor->GetActorTableData().preempted()); // Turn preempted back + + // Third restart: actor reaches max_restarts, so num_restarts and + // num_restarts_due_to_node_preemption should not increment + gcs_actor_manager_->OnWorkerDead(new_node_id_2, new_worker_id_2); + ASSERT_EQ(actor->GetState(), rpc::ActorTableData::DEAD); + ASSERT_EQ(actor->GetActorTableData().num_restarts(), 2); + ASSERT_EQ(actor->GetActorTableData().num_restarts_due_to_node_preemption(), 1); + ASSERT_FALSE(actor->GetActorTableData().preempted()); +} + } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/pb_util.h b/src/ray/gcs/pb_util.h index aa868a8815fe..2733cf470e86 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/gcs/pb_util.h @@ -182,7 +182,11 @@ inline bool IsActorRestartable(const rpc::ActorTableData &actor) { actor.death_cause().actor_died_error_context().reason() == rpc::ActorDiedErrorContext::OUT_OF_SCOPE && ((actor.max_restarts() == -1) || - (static_cast(actor.num_restarts()) < actor.max_restarts())); + (actor.max_restarts() > 0 && actor.preempted()) || + // Restarts due to node preemption do not count towards max_restarts. + (static_cast(actor.num_restarts() - + actor.num_restarts_due_to_node_preemption()) < + actor.max_restarts())); } inline std::string RayErrorInfoToString(const ray::rpc::RayErrorInfo &error_info) { diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index ac450bdcf8d9..97a8e1ae1af8 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -160,6 +160,8 @@ message ActorTableData { optional string call_site = 34; // The label selector of the actor. map label_selector = 35; + // Number of times this actor is restarted due to node preemption. + uint64 num_restarts_due_to_node_preemption = 36; } message ErrorTableData { From 008813f15de064132596e562334f090323b289eb Mon Sep 17 00:00:00 2001 From: zhilong <121425509+Bye-legumes@users.noreply.github.com> Date: Fri, 1 Aug 2025 02:40:35 +0800 Subject: [PATCH 0432/1566] [Dashboard] Add GPU component usage (#52102) Signed-off-by: zhilong Signed-off-by: zhaoch23 Signed-off-by: zhilong <121425509+Bye-legumes@users.noreply.github.com> Co-authored-by: zhaoch23 Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 1 - python/ray/_private/ray_constants.py | 5 + .../client/src/pages/metrics/Metrics.tsx | 8 + python/ray/dashboard/consts.py | 1 + .../dashboards/default_dashboard_panels.py | 28 +++ .../modules/reporter/gpu_providers.py | 163 ++++++++++++++++-- .../modules/reporter/reporter_agent.py | 139 +++++++++++++-- .../reporter/tests/test_gpu_providers.py | 37 ++-- .../modules/reporter/tests/test_reporter.py | 138 +++++++++++++++ 9 files changed, 479 insertions(+), 41 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 0f0de091d7e6..ecc256fe21c0 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -955,7 +955,6 @@ python/ray/dashboard/modules/reporter/profile_manager.py DOC111: Method `MemoryProfilingManager.detach_profiler`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list -------------------- python/ray/dashboard/modules/reporter/reporter_agent.py - DOC103: Method `ReporterAgent.generate_worker_stats_record`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [worker_stats: List[dict]]. Arguments in the docstring but not in the function signature: [stats: ]. DOC201: Method `ReporterAgent.generate_worker_stats_record` does not have a return section in docstring -------------------- python/ray/dashboard/modules/reporter/reporter_head.py diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index f1d84fb30747..35b8ea4e43ac 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -572,6 +572,11 @@ def gcs_actor_scheduling_enabled(): # WorkerId will be removed from all metrics. RAY_METRIC_CARDINALITY_LEVEL = os.environ.get("RAY_metric_cardinality_level", "legacy") +# Whether GPU metrics collection via `nvidia-smi` is enabled. +# Controlled by the environment variable `RAY_metric_enable_gpu_nvsmi`. +# Defaults to False to use pynvml to collect usage. +RAY_METRIC_ENABLE_GPU_NVSMI = env_bool("RAY_metric_enable_gpu_nvsmi", False) + # Whether enable OpenTelemetry as the metrics collection backend on the driver # component. This flag is only used during the migration of the metric collection # backend from OpenCensus to OpenTelemetry. It will be removed in the future. diff --git a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx index 78d3fd7bddba..07e7af851266 100644 --- a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx +++ b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx @@ -201,6 +201,14 @@ const METRICS_CONFIG: MetricsSectionConfig[] = [ title: "Node Memory by Component", pathParams: "theme=light&panelId=34", }, + { + title: "Node GPU by Component", + pathParams: "orgId=1&theme=light&panelId=45", + }, + { + title: "Node GPU Memory by Component", + pathParams: "orgId=1&theme=light&panelId=46", + }, ], }, ]; diff --git a/python/ray/dashboard/consts.py b/python/ray/dashboard/consts.py index bbd1a2f57361..1c5fdb9386b2 100644 --- a/python/ray/dashboard/consts.py +++ b/python/ray/dashboard/consts.py @@ -74,6 +74,7 @@ TPU_TAG_KEYS = NODE_TAG_KEYS + ["TpuDeviceName", "TpuIndex", "TpuType", "TpuTopology"] CLUSTER_TAG_KEYS = ["node_type", "Version", "SessionName"] COMPONENT_METRICS_TAG_KEYS = ["ip", "pid", "Version", "Component", "SessionName"] +COMPONENT_GPU_TAG_KEYS = GPU_TAG_KEYS + COMPONENT_METRICS_TAG_KEYS # Dashboard metrics are tracked separately at the dashboard. TODO(sang): Support GCS. # Note that for dashboard subprocess module, the component name is "dashboard_[module_name]". diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py index 051e5568ec9f..dd4e702b34d7 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py @@ -508,6 +508,34 @@ def max_plus_pending(max_resource, pending_resource): fill=0, stack=False, ), + Panel( + id=45, + title="Node GPU by Component", + description="The physical (hardware) GPU usage across the cluster, broken down by component. This reports the summed GPU usage per Ray component.", + unit="GPUs", + targets=[ + Target( + expr="sum(ray_component_gpu_percentage{{{global_filters}}} / 100) by (Component)", + legend="{{Component}}", + ), + ], + ), + Panel( + id=46, + title="Node GPU Memory by Component", + description="The physical (hardware) GPU memory usage across the cluster, broken down by component. This reports the summed GPU memory usage per Ray component.", + unit="bytes", + targets=[ + Target( + expr="sum(ray_component_gpu_memory_mb{{{global_filters}}}) by (Component)", + legend="{{Component}}", + ), + Target( + expr='(sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}}))*1024*1024', + legend="MAX", + ), + ], + ), ] diff --git a/python/ray/dashboard/modules/reporter/gpu_providers.py b/python/ray/dashboard/modules/reporter/gpu_providers.py index 69f9f39ba7b2..b50a417c1c48 100644 --- a/python/ray/dashboard/modules/reporter/gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/gpu_providers.py @@ -8,7 +8,10 @@ import enum import logging import subprocess -from typing import List, Optional, Union, TypedDict +from typing import Dict, List, Optional, Union, TypedDict +from collections import defaultdict + +from ray._private.ray_constants import RAY_METRIC_ENABLE_GPU_NVSMI logger = logging.getLogger(__name__) @@ -33,6 +36,7 @@ class ProcessGPUInfo(TypedDict): pid: int gpu_memory_usage: Megabytes + gpu_utilization: Optional[Percentage] class GpuUtilizationInfo(TypedDict): @@ -44,7 +48,7 @@ class GpuUtilizationInfo(TypedDict): utilization_gpu: Optional[Percentage] memory_used: Megabytes memory_total: Megabytes - processes_pids: Optional[List[ProcessGPUInfo]] + processes_pids: Optional[Dict[int, ProcessGPUInfo]] # tpu utilization for google tpu @@ -105,6 +109,7 @@ class NvidiaGpuProvider(GpuProvider): def __init__(self): super().__init__() self._pynvml = None + self._using_nvidia_smi = RAY_METRIC_ENABLE_GPU_NVSMI def get_provider_name(self) -> GpuProviderType: return GpuProviderType.NVIDIA @@ -149,6 +154,131 @@ def _shutdown(self): def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: """Get GPU utilization information for all NVIDIA GPUs and MIG devices.""" + + return ( + self._get_nvsmi_gpu_usage() + if self._using_nvidia_smi + else self._get_pynvml_gpu_usage() + ) + + def _get_nvsmi_gpu_usage(self) -> List[GpuUtilizationInfo]: + try: + gpu_info = subprocess.run( + [ + "nvidia-smi", + "--query-gpu=index,name,uuid,utilization.gpu,memory.used,memory.total", + "--format=csv,noheader,nounits", + ], + check=True, + capture_output=True, + text=True, + ) + """Sample output: + 0, GPU-0, GPU-36e1567d-37ed-051e-f8ff-df807517b396, 0, 73348, 81559 + 1, GPU-1, GPU-4a2c89ef-1b3d-492c-a8d5-e9c614f82d73, 0, 73444, 81559 + 2, GPU-2, GPU-7f15d234-9c6a-4e8b-b3f2-c982a5d91b48, 0, 73444, 81559 + 3, GPU-3, GPU-2b8d6f91-5e4c-47a3-96d7-8b31c4f9ae52, 0, 73332, 81559 + 4, GPU-4, GPU-9d3a7c82-6b5f-4d1e-ae94-3f5c8d2e9b14, 0, 73344, 81559 + 5, GPU-5, GPU-c4e6b853-2a9d-48f6-b1c7-d4f982e6a795, 0, 73440, 81559 + 6, GPU-6, GPU-1f9b4c75-8e3a-4d2b-95c8-6a7d3b8f4e21, 0, 73440, 81559 + 7, GPU-7, GPU-5d2e9f36-4c7b-483a-b9e1-2f8ac4d5b963, 0, 73328, 81559 + """ + gpus = [] + for line in sorted(gpu_info.stdout.strip().split("\n")): # Sort by index + index, name, uuid, util, mem_used, mem_total = line.split(", ") + gpus.append( + GpuUtilizationInfo( + index=int(index), + name=name, + uuid=uuid, + utilization_gpu=int(util), + memory_used=int(mem_used), + memory_total=int(mem_total), + processes_pids={}, + ) + ) + + processes_info = subprocess.run( + ["nvidia-smi", "pmon", "-c", "1"], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + check=True, + text=True, + ) + processes_info = self._parse_nvsmi_pmon_output(processes_info.stdout, gpus) + for gpu in gpus: + gpu_id = gpu["index"] + if gpu_id in processes_info: + gpu["processes_pids"] = processes_info[gpu_id] + return gpus + except (subprocess.CalledProcessError, ValueError) as e: + logger.warning(f"nvidia-smi failed to call: {e}. Falling back to pynvml.") + self._using_nvidia_smi = False + return self._get_pynvml_gpu_usage() + + @staticmethod + def _parse_nvsmi_pmon_output( + nvsmi_stdout: str, + gpus: List[GpuUtilizationInfo], + ) -> Dict[int, List[ProcessGPUInfo]]: + """Parse the output of nvidia-smi pmon -c 1. + + Sample output of 'nvidia-smi pmon -c 1': + # gpu pid type sm mem enc dec jpg ofa command + # Idx # C/G % % % % % % name + 0 7175 C 84 26 - - - - ray::TorchGPUWo + 1 7175 C 86 26 - - - - ray::TorchGPUWo + 2 - - - - - - - - - + + Returns a dict mapping GPU index to list of ProcessGPUInfo. + """ + process_utilizations = defaultdict(list) + lines = nvsmi_stdout.splitlines() + # Get the first line that is started with # + table_header = None + for line in lines: + if line.startswith("#"): + table_header = line + break + if not table_header: + raise ValueError( + "nvidia-smi pmon output is not supported. Please upgrade to a newer version of nvidia-smi." + ) + table_header = table_header.lower().split()[1:] + # Base on different versions, the header may be different. + # ValueError will be raised if the header is not found by the index function. + gpu_id_index = table_header.index("gpu") + pid_index = table_header.index("pid") + sm_index = table_header.index("sm") + mem_index = table_header.index("mem") + + for line in lines: + if line.startswith("#") or not line.strip(): + continue + + columns = line.split() + if len(columns) < max(gpu_id_index, pid_index, sm_index, mem_index) + 1: + continue + + gpu_id, pid, sm, mem = ( + int(columns[gpu_id_index]), + 0 if columns[pid_index] == "-" else int(columns[pid_index]), + 0 if columns[sm_index] == "-" else int(columns[sm_index]), + 0 if columns[mem_index] == "-" else int(columns[mem_index]), + ) + if pid == 0: # no process on this GPU + continue + process_info = ProcessGPUInfo( + pid=pid, + gpu_memory_usage=int( + gpus[gpu_id]["memory_total"] * mem / 100 + ), # Convert percentage to MB + gpu_utilization=sm, + ) + process_utilizations[gpu_id].append(process_info) + return process_utilizations + + def _get_pynvml_gpu_usage(self) -> List[GpuUtilizationInfo]: if not self._initialized: if not self._initialize(): return [] @@ -232,7 +362,7 @@ def _get_mig_device_info( logger.debug(f"Failed to retrieve MIG device utilization: {e}") # Get running processes on MIG device - processes_pids = [] + processes_pids = {} try: nv_comp_processes = self._pynvml.nvmlDeviceGetComputeRunningProcesses( mig_handle @@ -241,17 +371,16 @@ def _get_mig_device_info( self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(mig_handle) ) - processes_pids = [ - ProcessGPUInfo( + for nv_process in nv_comp_processes + nv_graphics_processes: + processes_pids[int(nv_process.pid)] = ProcessGPUInfo( pid=int(nv_process.pid), gpu_memory_usage=( int(nv_process.usedGpuMemory) // MB if nv_process.usedGpuMemory else 0 ), + gpu_utilization=None, # Not available in pynvml ) - for nv_process in (nv_comp_processes + nv_graphics_processes) - ] except self._pynvml.NVMLError as e: logger.debug(f"Failed to retrieve MIG device processes: {e}") @@ -303,7 +432,7 @@ def _get_gpu_info(self, gpu_handle, gpu_index: int) -> Optional[GpuUtilizationIn logger.debug(f"Failed to retrieve GPU utilization: {e}") # Get running processes - processes_pids = [] + processes_pids = {} try: nv_comp_processes = self._pynvml.nvmlDeviceGetComputeRunningProcesses( gpu_handle @@ -312,17 +441,16 @@ def _get_gpu_info(self, gpu_handle, gpu_index: int) -> Optional[GpuUtilizationIn self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(gpu_handle) ) - processes_pids = [ - ProcessGPUInfo( + for nv_process in nv_comp_processes + nv_graphics_processes: + processes_pids[int(nv_process.pid)] = ProcessGPUInfo( pid=int(nv_process.pid), gpu_memory_usage=( int(nv_process.usedGpuMemory) // MB if nv_process.usedGpuMemory else 0 ), + gpu_utilization=None, # Not available in pynvml ) - for nv_process in (nv_comp_processes + nv_graphics_processes) - ] except self._pynvml.NVMLError as e: logger.debug(f"Failed to retrieve GPU processes: {e}") @@ -407,16 +535,15 @@ def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: utilization = -1 # Get running processes - processes_pids = [] + processes_pids = {} for process in self._pyamdsmi.smi_get_compute_process_info_by_device( i, processes ): if process.vram_usage: - processes_pids.append( - ProcessGPUInfo( - pid=int(process.process_id), - gpu_memory_usage=int(process.vram_usage) // MB, - ) + processes_pids[int(process.process_id)] = ProcessGPUInfo( + pid=int(process.process_id), + gpu_memory_usage=int(process.vram_usage) // MB, + gpu_utilization=None, ) info = GpuUtilizationInfo( diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 59ab2bb5adbe..c82d7cfab88b 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -33,6 +33,7 @@ from ray._private.utils import get_system_memory from ray.dashboard.modules.reporter.gpu_providers import ( GpuMetricProvider, + GpuUtilizationInfo, TpuUtilizationInfo, ) from ray._private import utils @@ -51,6 +52,7 @@ from ray.dashboard import k8s_utils from ray.dashboard.consts import ( CLUSTER_TAG_KEYS, + COMPONENT_GPU_TAG_KEYS, COMPONENT_METRICS_TAG_KEYS, GCS_RPC_TIMEOUT_SECONDS, GPU_TAG_KEYS, @@ -352,6 +354,18 @@ def jsonify_asdict(o) -> str: "count", CLUSTER_TAG_KEYS, ), + "component_gpu_percentage": Gauge( + "component_gpu_percentage", + "GPU usage of all components on the node.", + "percentage", + COMPONENT_GPU_TAG_KEYS, + ), + "component_gpu_memory_mb": Gauge( + "component_gpu_memory_mb", + "GPU memory usage of all components on the node.", + "MB", + COMPONENT_GPU_TAG_KEYS, + ), } PSUTIL_PROCESS_ATTRS = ( @@ -413,6 +427,7 @@ def __init__(self, dashboard_agent): self._agent_proc = None # The last reported worker proc names (e.g., ray::*). self._latest_worker_proc_names = set() + self._latest_gpu_worker_proc_names = set() self._network_stats_hist = [(0, (0.0, 0.0))] # time, (sent, recv) self._disk_io_stats_hist = [ (0, (0.0, 0.0, 0, 0)) @@ -867,9 +882,8 @@ def _get_agent_proc(self) -> psutil.Process: def _generate_worker_key(self, proc: psutil.Process) -> Tuple[int, float]: return (proc.pid, proc.create_time()) - def _get_workers(self): + def _get_workers(self, gpus: Optional[List[GpuUtilizationInfo]] = None): raylet_proc = self._get_raylet_proc() - if raylet_proc is None: return [] else: @@ -905,13 +919,41 @@ def _get_workers(self): # Remove the current process (reporter agent), which is also a child of # the Raylet. self._workers.pop(self._generate_worker_key(self._get_agent_proc())) + # Build process ID -> GPU info mapping for faster lookups + gpu_pid_mapping = defaultdict(list) + if gpus is not None: + for gpu in gpus: + processes = gpu.get("processes_pids") + if processes: + for proc in processes.values(): + gpu_pid_mapping[proc.pid].append(proc) result = [] for w in self._workers.values(): try: if w.status() == psutil.STATUS_ZOMBIE: continue - result.append(w.as_dict(attrs=PSUTIL_PROCESS_ATTRS)) + + # Get basic process info + worker_info = w.as_dict(attrs=PSUTIL_PROCESS_ATTRS) + + # Add GPU information if available + worker_pid = worker_info["pid"] + gpu_memory_usage = 0 + gpu_utilization = 0 + + if worker_pid in gpu_pid_mapping: + # Aggregate GPU memory and utilization across all GPUs for this process + for gpu_proc in gpu_pid_mapping[worker_pid]: + gpu_memory_usage += gpu_proc["gpu_memory_usage"] + utilization = gpu_proc["gpu_utilization"] or 0 + gpu_utilization += utilization + + # Add GPU information to worker info + worker_info["gpu_memory_usage"] = gpu_memory_usage # in MB + worker_info["gpu_utilization"] = gpu_utilization # percentage + + result.append(worker_info) except psutil.NoSuchProcess: # the process may have terminated due to race condition. continue @@ -1004,6 +1046,7 @@ def _collect_stats(self): self._disk_io_stats_hist.append((now, disk_stats)) disk_speed_stats = self._compute_speed_from_hist(self._disk_io_stats_hist) + gpus = self._get_gpu_usage() stats = { "now": now, "hostname": self._hostname, @@ -1013,7 +1056,7 @@ def _collect_stats(self): "mem": self._get_mem_usage(), # Unit is in bytes. None if "shm": self._get_shm_usage(), - "workers": self._get_workers(), + "workers": self._get_workers(gpus), "raylet": self._get_raylet(), "agent": self._get_agent(), "bootTime": self._get_boot_time(), @@ -1021,7 +1064,7 @@ def _collect_stats(self): "disk": self._get_disk_usage(), "disk_io": disk_stats, "disk_io_speed": disk_speed_stats, - "gpus": self._get_gpu_usage(), + "gpus": gpus, "tpus": self._get_tpu_usage(), "network": network_stats, "network_speed": network_speed_stats, @@ -1080,6 +1123,7 @@ def _generate_reseted_stats_record(self, component_name: str) -> List[Record]: tags=tags, ) ) + return records def _generate_system_stats_record( @@ -1098,13 +1142,19 @@ def _generate_system_stats_record( a list of Record class that will be exposed to Prometheus. """ total_cpu_percentage = 0.0 + total_gpu_percentage = 0.0 + total_gpu_memory = 0.0 total_rss = 0.0 total_uss = 0.0 total_shm = 0.0 total_num_fds = 0 - for stat in stats: total_cpu_percentage += float(stat.get("cpu_percent", 0.0)) # noqa + + # Aggregate GPU stats if available + total_gpu_percentage += float(stat.get("gpu_utilization", 0.0)) + total_gpu_memory += float(stat.get("gpu_memory_usage", 0.0)) + memory_info = stat.get("memory_info") if memory_info: mem = stat["memory_info"] @@ -1158,32 +1208,92 @@ def _generate_system_stats_record( ) ) + # Add GPU records if there's GPU usage + if total_gpu_memory > 0.0: + records.append( + Record( + gauge=METRICS_GAUGES["component_gpu_memory_mb"], + value=total_gpu_memory, + tags=tags, + ) + ) + + if total_gpu_percentage > 0.0: + records.append( + Record( + gauge=METRICS_GAUGES["component_gpu_percentage"], + value=total_gpu_percentage, + tags=tags, + ) + ) + + return records + + def _generate_reseted_gpu_stats_record(self, component_name: str) -> List[Record]: + """Return a list of Record that will reset + the GPU metrics of a given component name. + + Args: + component_name: a component name for a given stats. + + Returns: + a list of Record instances of GPU metrics with all values 0. + """ + tags = {"ip": self._ip, "Component": component_name} + + records = [] + records.append( + Record( + gauge=METRICS_GAUGES["component_gpu_memory_mb"], + value=0.0, + tags=tags, + ) + ) + records.append( + Record( + gauge=METRICS_GAUGES["component_gpu_percentage"], + value=0.0, + tags=tags, + ) + ) + return records def generate_worker_stats_record(self, worker_stats: List[dict]) -> List[Record]: - """Generate a list of Record class for worker proceses. + """Generate a list of Record class for worker processes. This API automatically sets the component_name of record as the name of worker processes. I.e., ray::* so that we can report per task/actor (grouped by a func/class name) resource usages. Args: - stats: a list of stats dict generated by `psutil.as_dict` - for worker processes. + worker_stats: a list of stats dict generated by `psutil.as_dict` + for worker processes. Now with gpu usage information. """ - # worekr cmd name (ray::*) -> stats dict. + # worker cmd name (ray::*) -> stats dict. proc_name_to_stats = defaultdict(list) + gpu_worker_proc_names = set() # Track processes with GPU usage + for stat in worker_stats: cmdline = stat.get("cmdline") # All ray processes start with ray:: if cmdline and len(cmdline) > 0 and cmdline[0].startswith("ray::"): proc_name = cmdline[0] proc_name_to_stats[proc_name].append(stat) + + # Track if this process has GPU usage + if ( + stat.get("gpu_memory_usage", 0) > 0 + or stat.get("gpu_utilization", 0) > 0 + ): + gpu_worker_proc_names.add(proc_name) # We will lose worker stats that don't follow the ray worker proc # naming convention. Theoretically, there should be no data loss here # because all worker processes are renamed to ray::. records = [] + + # Generate system stats records (now includes GPU stats) for proc_name, stats in proc_name_to_stats.items(): records.extend(self._generate_system_stats_record(stats, proc_name)) @@ -1195,6 +1305,15 @@ def generate_worker_stats_record(self, worker_stats: List[dict]) -> List[Record] for stale_proc_name in stale_procs: records.extend(self._generate_reseted_stats_record(stale_proc_name)) + # Reset GPU metrics for processes that no longer use GPU + stale_gpu_worker_proc_names = ( + self._latest_gpu_worker_proc_names - gpu_worker_proc_names + ) + self._latest_gpu_worker_proc_names = gpu_worker_proc_names + + for stale_gpu_proc in stale_gpu_worker_proc_names: + records.extend(self._generate_reseted_gpu_stats_record(stale_gpu_proc)) + return records def _to_records(self, stats, cluster_stats) -> List[Record]: diff --git a/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py index 4b6dfbe816b9..a49e97d421ab 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py @@ -20,10 +20,13 @@ class TestProcessGPUInfo(unittest.TestCase): def test_creation(self): """Test ProcessGPUInfo creation.""" - process_info = ProcessGPUInfo(pid=1234, gpu_memory_usage=256) + process_info = ProcessGPUInfo( + pid=1234, gpu_memory_usage=256, gpu_utilization=None + ) self.assertEqual(process_info["pid"], 1234) self.assertEqual(process_info["gpu_memory_usage"], 256) + self.assertIsNone(process_info["gpu_utilization"]) class TestGpuUtilizationInfo(unittest.TestCase): @@ -31,8 +34,8 @@ class TestGpuUtilizationInfo(unittest.TestCase): def test_creation_with_processes(self): """Test GpuUtilizationInfo with process information.""" - process1 = ProcessGPUInfo(pid=1234, gpu_memory_usage=256) - process2 = ProcessGPUInfo(pid=5678, gpu_memory_usage=512) + process1 = ProcessGPUInfo(pid=1234, gpu_memory_usage=256, gpu_utilization=None) + process2 = ProcessGPUInfo(pid=5678, gpu_memory_usage=512, gpu_utilization=None) gpu_info = GpuUtilizationInfo( index=0, @@ -41,7 +44,7 @@ def test_creation_with_processes(self): utilization_gpu=75, memory_used=8192, memory_total=10240, - processes_pids=[process1, process2], + processes_pids={1234: process1, 5678: process2}, ) self.assertEqual(gpu_info["index"], 0) @@ -51,6 +54,12 @@ def test_creation_with_processes(self): self.assertEqual(gpu_info["memory_used"], 8192) self.assertEqual(gpu_info["memory_total"], 10240) self.assertEqual(len(gpu_info["processes_pids"]), 2) + self.assertIn(1234, gpu_info["processes_pids"]) + self.assertIn(5678, gpu_info["processes_pids"]) + self.assertEqual(gpu_info["processes_pids"][1234]["pid"], 1234) + self.assertEqual(gpu_info["processes_pids"][1234]["gpu_memory_usage"], 256) + self.assertEqual(gpu_info["processes_pids"][5678]["pid"], 5678) + self.assertEqual(gpu_info["processes_pids"][5678]["gpu_memory_usage"], 512) def test_creation_without_processes(self): """Test GpuUtilizationInfo without process information.""" @@ -263,8 +272,8 @@ def test_get_gpu_utilization_success(self, mock_pynvml): self.assertEqual(gpu_info["memory_used"], 8 * 1024) # 8GB in MB self.assertEqual(gpu_info["memory_total"], 12 * 1024) # 12GB in MB self.assertEqual(len(gpu_info["processes_pids"]), 1) - self.assertEqual(gpu_info["processes_pids"][0]["pid"], 1234) - self.assertEqual(gpu_info["processes_pids"][0]["gpu_memory_usage"], 256) + self.assertEqual(gpu_info["processes_pids"][1234]["pid"], 1234) + self.assertEqual(gpu_info["processes_pids"][1234]["gpu_memory_usage"], 256) @patch("ray._private.thirdparty.pynvml", create=True) def test_get_gpu_utilization_with_errors(self, mock_pynvml): @@ -313,8 +322,8 @@ class MockNVMLError(Exception): self.assertEqual(gpu_info["name"], "NVIDIA Tesla V100") self.assertEqual(gpu_info["utilization_gpu"], -1) # Should be -1 due to error self.assertEqual( - gpu_info["processes_pids"], [] - ) # Should be empty list due to error + gpu_info["processes_pids"], {} + ) # Should be empty dict due to error @patch("ray._private.thirdparty.pynvml", create=True) def test_get_gpu_utilization_with_mig(self, mock_pynvml): @@ -378,7 +387,7 @@ def test_get_gpu_utilization_with_mig(self, mock_pynvml): self.assertEqual(gpu_info["utilization_gpu"], 80) self.assertEqual(gpu_info["memory_used"], 2 * 1024) # 2GB in MB self.assertEqual(gpu_info["memory_total"], 4 * 1024) # 4GB in MB - self.assertEqual(gpu_info["processes_pids"], []) + self.assertEqual(gpu_info["processes_pids"], {}) class TestAmdGpuProvider(unittest.TestCase): @@ -456,8 +465,8 @@ def test_get_gpu_utilization_success(self, mock_pyamdsmi): self.assertEqual(gpu_info["memory_used"], 6 * 1024) # 6GB in MB self.assertEqual(gpu_info["memory_total"], 16 * 1024) # 16GB in MB self.assertEqual(len(gpu_info["processes_pids"]), 1) - self.assertEqual(gpu_info["processes_pids"][0]["pid"], 5678) - self.assertEqual(gpu_info["processes_pids"][0]["gpu_memory_usage"], 512) + self.assertEqual(gpu_info["processes_pids"][5678]["pid"], 5678) + self.assertEqual(gpu_info["processes_pids"][5678]["gpu_memory_usage"], 512) class TestGpuMetricProvider(unittest.TestCase): @@ -576,7 +585,11 @@ def test_get_gpu_usage_success(self, mock_detect): utilization_gpu=50, memory_used=1024, memory_total=2048, - processes_pids=None, + processes_pids={ + 1234: ProcessGPUInfo( + pid=1234, gpu_memory_usage=1024, gpu_utilization=None + ) + }, ) ] mock_detect.return_value = mock_provider diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 8dcfddfcd978..3514c4f3396c 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -23,6 +23,7 @@ wait_until_server_available, ) from ray.core.generated.metrics_pb2 import Metric +from ray.dashboard.modules.reporter.gpu_providers import NvidiaGpuProvider, MB from ray.dashboard.modules.reporter.reporter_agent import ( ReporterAgent, TpuUtilizationInfo, @@ -122,6 +123,7 @@ ), }, "gpus": [], + "gpu_processes": {}, "tpus": [], "network": (13621160960, 11914936320), "network_speed": (8.435062128545095, 7.378462703142336), @@ -481,6 +483,142 @@ def test_report_stats_gpu(): assert gpu_metrics_aggregatd["node_gram_available"] == GPU_MEMORY * 4 - 6 +def test_report_per_component_stats_gpu(): + dashboard_agent = MagicMock() + agent = ReporterAgent(dashboard_agent) + # Assume it is a head node. + agent._is_head_node = True + # GPUstats query output example. + """ + {'index': 0, + 'uuid': 'GPU-36e1567d-37ed-051e-f8ff-df807517b396', + 'name': 'NVIDIA A10G', + 'utilization_gpu': 1, + 'memory_used': 0, + 'memory_total': 22731, + 'processes': []} + """ + GPU_MEMORY = 22731 + + STATS_TEMPLATE["gpus"] = [ + { + "index": 0, + "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b396", + "name": "NVIDIA A10G", + "utilization_gpu": 0, # NOTE: this is a dummy value + "memory_used": 0, + "memory_total": GPU_MEMORY, + "processes_pids": { + 2297322: { + "pid": 2297322, + "gpu_memory_usage": 26, + "gpu_utilization": None, + } + }, + }, + { + "index": 1, + "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b397", + "name": "NVIDIA A10G", + "utilization_gpu": 1, + "memory_used": 1, + "memory_total": GPU_MEMORY, + "processes_pids": { + 2297332: { + "pid": 2297332, + "gpu_memory_usage": 26, + "gpu_utilization": None, + } + }, + }, + ] + gpu_worker = STATS_TEMPLATE["workers"][0].copy() + gpu_worker.update( + {"pid": 7175, "cmdline": ["ray::TorchGPUWorker.dummy_method", ""]} + ) + gpu_metrics_aggregatd = { + "component_gpu_utilization": 0, + "component_gpu_memory_usage": 0, + } + STATS_TEMPLATE["workers"].append(gpu_worker) + + NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS = ( + "# gpu pid type sm mem enc dec jpg ofa command \n" + "# Idx # C/G % % % % % % name \n" + " 0 7175 C 84 26 - - - - ray::TorchGPUWo\n" + " 1 7175 C 86 26 - - - - ray::TorchGPUWo\n" + ) + STATS_TEMPLATE["gpu_processes"] = NvidiaGpuProvider._parse_nvsmi_pmon_output( + NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS, STATS_TEMPLATE["gpus"] + ) + records = agent._to_records(STATS_TEMPLATE, {}) + + gpu_component_records = defaultdict(list) + + for record in records: + if record.gauge.name in gpu_metrics_aggregatd: + gpu_component_records[record.gauge.name].append(record) + for name, records in gpu_component_records.items(): + assert len(records) == 2 # Each matric should have 2 records + + for record in gpu_component_records["component_gpu_memory_usage"]: + assert record.value == int(0.26 * GPU_MEMORY * MB) + assert record.tags["Component"] == "ray::TorchGPUWorker.dummy_method" + for record in gpu_component_records["component_gpu_utilization"]: + if record.tags["GpuIndex"] == "0": + assert record.value == 84 + else: + assert record.value == 86 + + # Test stats with two tasks on one GPU. + NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS = ( + "# gpu pid type sm mem enc dec jpg ofa command \n" + "# Idx # C/G % % % % % % name \n" + " 0 7175 C 22 6 - - - - ray::TorchGPUWo\n" + " 0 7176 C 77 22 - - - - ray::TorchGPUWo\n" + " 1 - - - - - - - - - \n" + ) + STATS_TEMPLATE["gpu_processes"] = NvidiaGpuProvider._parse_nvsmi_pmon_output( + NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS, STATS_TEMPLATE["gpus"] + ) + # Move process from GPU 1 to GPU 0 + gpu1_process = STATS_TEMPLATE["gpus"][1]["processes_pids"][2297332] + STATS_TEMPLATE["gpus"][0]["processes_pids"][2297332] = gpu1_process + STATS_TEMPLATE["gpus"][1]["processes_pids"] = {} + + gpu_worker = gpu_worker.copy() + gpu_worker.update( + {"pid": 7176, "cmdline": ["ray::TorchGPUWorker.dummy_method_2", ""]} + ) + STATS_TEMPLATE["workers"].append(gpu_worker) + + records = agent._to_records(STATS_TEMPLATE, {}) + + gpu_component_records = defaultdict(list) + for record in records: + if record.gauge.name in gpu_metrics_aggregatd: + gpu_component_records[record.gauge.name].append(record) + for name, records in gpu_component_records.items(): + assert len(records) == 2 + + for record in gpu_component_records["component_gpu_memory_usage"]: + assert record.tags["GpuIndex"] == "0" + if record.tags["Component"] == "ray::TorchGPUWorker.dummy_method": + assert record.value == int(0.06 * GPU_MEMORY * MB) + assert record.tags["pid"] == "7175" + else: + assert record.value == int(0.22 * GPU_MEMORY * MB) + assert record.tags["pid"] == "7176" + for record in gpu_component_records["component_gpu_utilization"]: + assert record.tags["GpuIndex"] == "0" + if record.tags["Component"] == "ray::TorchGPUWorker.dummy_method": + assert record.value == 22 + assert record.tags["pid"] == "7175" + else: + assert record.value == 77 + assert record.tags["pid"] == "7176" + + def test_get_tpu_usage(): dashboard_agent = MagicMock() agent = ReporterAgent(dashboard_agent) From 6a31e5f6c523f5db1388ea2cc6ffce604e8d6a20 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 31 Jul 2025 11:45:51 -0700 Subject: [PATCH 0433/1566] [core] Adding a noexcept utility to convert a string into an integer type. (#54927) [core] Adding a noexcept utility to convert a string into an integer type. - Added tests. - Removed the dependency of logging on string_utils (which leads to a circular dependency of the form string_utils > status_or > status > logging > string_utils. - Removed some unused imports. --------- Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + cpp/src/ray/test/api_test.cc | 3 +- src/ray/common/BUILD.bazel | 3 +- src/ray/common/cgroup/BUILD.bazel | 3 + src/ray/common/cgroup/cgroup_setup.cc | 1 + src/ray/common/cgroup/cgroup_utils.cc | 3 + src/ray/common/status.h | 1 - src/ray/common/status_or.h | 8 +- src/ray/common/test/BUILD.bazel | 1 + src/ray/common/test/ray_syncer_test.cc | 5 +- src/ray/common/test_util.cc | 1 + src/ray/core_worker/BUILD.bazel | 1 + src/ray/core_worker/core_worker_process.cc | 3 +- src/ray/core_worker/test/BUILD.bazel | 1 + .../core_worker/test/actor_creator_test.cc | 5 +- .../test/gcs_client_reconnection_test.cc | 5 +- .../gcs/gcs_client/test/gcs_client_test.cc | 5 +- .../test/global_state_accessor_test.cc | 5 +- .../gcs_autoscaler_state_manager.cc | 1 + .../test/redis_store_client_test.cc | 5 +- src/ray/gcs/test/redis_async_context_test.cc | 5 +- src/ray/object_manager/test/BUILD.bazel | 1 + .../test/spilled_object_test.cc | 1 + .../raylet/scheduling/cluster_task_manager.cc | 1 + src/ray/raylet/worker_pool_test.cc | 5 +- src/ray/util/BUILD.bazel | 13 +++- src/ray/util/logging.cc | 31 +------- src/ray/util/logging.h | 9 --- src/ray/util/path_utils.cc | 52 +++++++++++++ src/ray/util/path_utils.h | 54 +++++++++++++ src/ray/util/string_utils.cc | 1 - src/ray/util/string_utils.h | 60 ++++++++++----- src/ray/util/tests/BUILD.bazel | 16 ++++ src/ray/util/tests/event_test.cc | 5 +- src/ray/util/tests/filesystem_test.cc | 2 + src/ray/util/tests/logging_test.cc | 6 +- src/ray/util/tests/signal_test.cc | 5 +- src/ray/util/tests/string_utils_test.cc | 75 +++++++++++++++++++ src/ray/util/util.cc | 1 + 39 files changed, 315 insertions(+), 89 deletions(-) create mode 100644 src/ray/util/path_utils.cc create mode 100644 src/ray/util/path_utils.h create mode 100644 src/ray/util/tests/string_utils_test.cc diff --git a/BUILD.bazel b/BUILD.bazel index d0370b5f6fa0..696ac822df98 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -722,6 +722,7 @@ ray_cc_test( deps = [ ":ray_mock", ":worker_pool", + "//src/ray/util:path_utils", "@com_google_googletest//:gtest_main", ], ) diff --git a/cpp/src/ray/test/api_test.cc b/cpp/src/ray/test/api_test.cc index 4e19101af11a..a4f77b4e98b2 100644 --- a/cpp/src/ray/test/api_test.cc +++ b/cpp/src/ray/test/api_test.cc @@ -22,6 +22,7 @@ #include "../config_internal.h" #include "ray/util/logging.h" +#include "ray/util/path_utils.h" // using namespace ray; @@ -114,7 +115,7 @@ TEST(RayApiTest, LogTest) { const std::string log_dir = std::filesystem::current_path().string() + "/tmp/"; ray::RayLog::StartRayLog(app_name, ray::RayLogLevel::DEBUG, - ray::RayLog::GetLogFilepathFromDirectory(log_dir, app_name)); + ray::GetLogFilepathFromDirectory(log_dir, app_name)); std::array str_arr{"debug test", "info test", "warning test"}; RAYLOG(DEBUG) << str_arr[0]; RAYLOG(INFO) << str_arr[1]; diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 4e6fc75f04c5..b7e6ad6fa923 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -21,6 +21,7 @@ ray_cc_library( "//src/ray/protobuf:common_cc_proto", "//src/ray/util", "//src/ray/util:cmd_line_utils", + "//src/ray/util:path_utils", "@boost//:optional", "@com_google_googletest//:gtest", ], @@ -291,7 +292,6 @@ ray_cc_library( hdrs = ["status.h"], deps = [ ":source_location", - "//src/ray/util:logging", "//src/ray/util:macros", "//src/ray/util:visibility", "@boost//:system", @@ -311,6 +311,7 @@ ray_cc_library( deps = [ ":macros", ":status", + "//src/ray/util:logging", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/common/cgroup/BUILD.bazel b/src/ray/common/cgroup/BUILD.bazel index 34c43588c183..a67086c14e75 100644 --- a/src/ray/common/cgroup/BUILD.bazel +++ b/src/ray/common/cgroup/BUILD.bazel @@ -16,6 +16,7 @@ ray_cc_library( "//src/ray/common:macros", "//src/ray/util", "//src/ray/util:invoke_once_token", + "//src/ray/util:path_utils", "@com_google_absl//absl/strings:str_format", ], ) @@ -75,6 +76,8 @@ ray_cc_library( deps = [ ":constants", "//src/ray/common:status", + "//src/ray/util:logging", + "//src/ray/util:path_utils", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_prod", ], diff --git a/src/ray/common/cgroup/cgroup_setup.cc b/src/ray/common/cgroup/cgroup_setup.cc index 9bd339b4da65..3087e172d457 100644 --- a/src/ray/common/cgroup/cgroup_setup.cc +++ b/src/ray/common/cgroup/cgroup_setup.cc @@ -84,6 +84,7 @@ Status CheckCgroupV2MountedRW(const std::string &directory) { #include "ray/util/filesystem.h" #include "ray/util/invoke_once_token.h" #include "ray/util/logging.h" +#include "ray/util/path_utils.h" #include "ray/util/util.h" namespace ray { diff --git a/src/ray/common/cgroup/cgroup_utils.cc b/src/ray/common/cgroup/cgroup_utils.cc index d74a5c46ed0f..cef2ff169742 100644 --- a/src/ray/common/cgroup/cgroup_utils.cc +++ b/src/ray/common/cgroup/cgroup_utils.cc @@ -22,6 +22,7 @@ Status KillAllProcAndWait(const std::string &cgroup_folder) { return Status::OK( #include +#include #include #include #include @@ -29,6 +30,8 @@ Status KillAllProcAndWait(const std::string &cgroup_folder) { return Status::OK( #include "absl/strings/numbers.h" #include "absl/strings/str_format.h" #include "ray/common/cgroup/constants.h" +#include "ray/util/logging.h" +#include "ray/util/path_utils.h" namespace ray { diff --git a/src/ray/common/status.h b/src/ray/common/status.h index 0ba9a37478ae..3b9ba8a6cc43 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -34,7 +34,6 @@ #include "absl/strings/str_cat.h" #include "ray/common/source_location.h" -#include "ray/util/logging.h" #include "ray/util/macros.h" #include "ray/util/visibility.h" diff --git a/src/ray/common/status_or.h b/src/ray/common/status_or.h index 991b03961df0..2a94bb4bec99 100644 --- a/src/ray/common/status_or.h +++ b/src/ray/common/status_or.h @@ -22,6 +22,7 @@ #include "absl/base/attributes.h" #include "ray/common/macros.h" #include "ray/common/status.h" +#include "ray/util/logging.h" #define __RAY_ASSIGN_OR_RETURN_IMPL(var, expr, statusor_name) \ auto statusor_name = (expr); \ @@ -148,13 +149,10 @@ class StatusOr { } ABSL_MUST_USE_RESULT StatusCode code() const { return status_.code(); } - ABSL_MUST_USE_RESULT std::string message() const { return status_.message(); } std::string StatusString() const { return status_.StatusString(); } - std::string ToString() const { return status_.ToString(); } - bool IsNotFound() const { return code() == StatusCode::NotFound; } bool IsInvalidArgument() const { return code() == StatusCode::InvalidArgument; } bool IsPermissionDenied() const { return code() == StatusCode::PermissionDenied; } @@ -249,6 +247,10 @@ class StatusOr { static_assert(std::is_default_constructible_v, "StatusOr::value_or_default: T must by default constructable"); + // Return a string representation of this status suitable for printing. + // Returns the string "OK" for success. + std::string ToString() const { return status_.ToString(); } + private: T &get() { return data_; } const T &get() const { return data_; } diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/test/BUILD.bazel index 359d1791cee0..7ffd24c5ea20 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/test/BUILD.bazel @@ -52,6 +52,7 @@ ray_cc_test( "//:grpc_common_lib", "//:ray_mock_syncer", "//src/ray/common:ray_syncer", + "//src/ray/util:path_utils", "@com_google_googletest//:gtest", ], ) diff --git a/src/ray/common/test/ray_syncer_test.cc b/src/ray/common/test/ray_syncer_test.cc index 3086c411ef91..8e413dfed107 100644 --- a/src/ray/common/test/ray_syncer_test.cc +++ b/src/ray/common/test/ray_syncer_test.cc @@ -32,6 +32,7 @@ #include "ray/common/ray_syncer/ray_syncer_client.h" #include "ray/common/ray_syncer/ray_syncer_server.h" #include "ray/rpc/grpc_server.h" +#include "ray/util/path_utils.h" using namespace std::chrono; using namespace ray::syncer; @@ -979,8 +980,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ray::RayLog::InstallFailureSignalHandler(argv[0]); diff --git a/src/ray/common/test_util.cc b/src/ray/common/test_util.cc index aec57526255f..5cec6f3c504c 100644 --- a/src/ray/common/test_util.cc +++ b/src/ray/common/test_util.cc @@ -26,6 +26,7 @@ #include "ray/util/cmd_line_utils.h" #include "ray/util/filesystem.h" #include "ray/util/logging.h" +#include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/util.h" diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 0caa9d79e108..15efadc236ca 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -44,6 +44,7 @@ ray_cc_library( "//src/ray/util:env", "//src/ray/util:event", "//src/ray/util:mutex_protected", + "//src/ray/util:path_utils", "//src/ray/util:process", "//src/ray/util:shared_lru", "//src/ray/util:stream_redirection", diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 2121290203fd..d18328ae64aa 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -38,6 +38,7 @@ #include "ray/util/container_util.h" #include "ray/util/env.h" #include "ray/util/event.h" +#include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/stream_redirection.h" #include "ray/util/stream_redirection_options.h" @@ -634,7 +635,7 @@ CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) } const std::string app_name = app_name_ss.str(); const std::string log_filepath = - RayLog::GetLogFilepathFromDirectory(options_.log_dir, /*app_name=*/app_name); + GetLogFilepathFromDirectory(options_.log_dir, /*app_name=*/app_name); RayLog::StartRayLog(app_name, RayLogLevel::INFO, log_filepath, diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index f5e62cf7543a..993cdcf86378 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -294,6 +294,7 @@ ray_cc_test( "//src/ray/common:test_util", "//src/ray/core_worker:actor_creator", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/util:path_utils", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/test/actor_creator_test.cc b/src/ray/core_worker/test/actor_creator_test.cc index f4f5184b8738..9e50e896d151 100644 --- a/src/ray/core_worker/test/actor_creator_test.cc +++ b/src/ray/core_worker/test/actor_creator_test.cc @@ -19,6 +19,7 @@ #include "gtest/gtest.h" #include "ray/core_worker/actor_creator.h" #include "ray/common/test_util.h" +#include "ray/util/path_utils.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" // clang-format on @@ -91,8 +92,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ray::RayLog::InstallFailureSignalHandler(argv[0]); diff --git a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc index 8a0e714b4ff6..3610f6af2ddf 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc @@ -27,6 +27,7 @@ #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/util/path_utils.h" #include "ray/util/util.h" using namespace std::chrono_literals; // NOLINT @@ -385,8 +386,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 20ebd7dcd7b1..06157bf9ef0d 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/util/path_utils.h" #include "ray/util/util.h" using namespace std::chrono_literals; // NOLINT @@ -1032,8 +1033,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, /*app_name=*/argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc index d8a4963553d9..aed48ddccdf2 100644 --- a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc @@ -23,6 +23,7 @@ #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/util/path_utils.h" namespace ray { @@ -354,8 +355,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 6a2176bfa784..6ef1cff913fe 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -24,6 +24,7 @@ #include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pb_util.h" +#include "ray/util/string_utils.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/store_client/test/redis_store_client_test.cc b/src/ray/gcs/store_client/test/redis_store_client_test.cc index e5931b8b8fa1..b473b3167b91 100644 --- a/src/ray/gcs/store_client/test/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/test/redis_store_client_test.cc @@ -25,6 +25,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/redis_client.h" #include "ray/gcs/store_client/test/store_client_test_base.h" +#include "ray/util/path_utils.h" using namespace std::chrono_literals; // NOLINT namespace ray { @@ -414,8 +415,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/gcs/test/redis_async_context_test.cc b/src/ray/gcs/test/redis_async_context_test.cc index dacbeb9373d4..6309e867995a 100644 --- a/src/ray/gcs/test/redis_async_context_test.cc +++ b/src/ray/gcs/test/redis_async_context_test.cc @@ -23,6 +23,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/redis_context.h" #include "ray/util/logging.h" +#include "ray/util/path_utils.h" extern "C" { #include "hiredis/async.h" @@ -88,8 +89,8 @@ int main(int argc, char **argv) { ray::RayLog::ShutDownRayLog, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/object_manager/test/BUILD.bazel b/src/ray/object_manager/test/BUILD.bazel index d5a3720c554f..a44eb1490b1c 100644 --- a/src/ray/object_manager/test/BUILD.bazel +++ b/src/ray/object_manager/test/BUILD.bazel @@ -63,6 +63,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:raylet_lib", + "//src/ray/util:path_utils", "@boost//:endian", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", diff --git a/src/ray/object_manager/test/spilled_object_test.cc b/src/ray/object_manager/test/spilled_object_test.cc index 0ce297e46873..15f54365ea29 100644 --- a/src/ray/object_manager/test/spilled_object_test.cc +++ b/src/ray/object_manager/test/spilled_object_test.cc @@ -25,6 +25,7 @@ #include "ray/object_manager/memory_object_reader.h" #include "ray/object_manager/spilled_object_reader.h" #include "ray/util/filesystem.h" +#include "ray/util/path_utils.h" namespace ray { diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_task_manager.cc index 096920365558..d3b11fb8022b 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager.cc @@ -23,6 +23,7 @@ #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" +#include "ray/util/string_utils.h" namespace ray { namespace raylet { diff --git a/src/ray/raylet/worker_pool_test.cc b/src/ray/raylet/worker_pool_test.cc index 4590780c8cd4..af7df9dcd114 100644 --- a/src/ray/raylet/worker_pool_test.cc +++ b/src/ray/raylet/worker_pool_test.cc @@ -32,6 +32,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/constants.h" #include "ray/raylet/runtime_env_agent_client.h" +#include "ray/util/path_utils.h" #include "ray/util/process.h" #include "src/ray/protobuf/runtime_env_agent.pb.h" @@ -2449,8 +2450,8 @@ int main(int argc, char **argv) { []() { ray::RayLog::ShutDownRayLog(); }, argv[0], ray::RayLogLevel::INFO, - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ::testing::InitGoogleTest(&argc, argv); diff --git a/src/ray/util/BUILD.bazel b/src/ray/util/BUILD.bazel index ece190cdaff6..34767363bda7 100644 --- a/src/ray/util/BUILD.bazel +++ b/src/ray/util/BUILD.bazel @@ -48,7 +48,6 @@ ray_cc_library( hdrs = ["logging.h"], deps = [ ":macros", - ":string_utils", ":thread_utils", "@com_github_spdlog//:spdlog", "@com_google_absl//absl/debugging:failure_signal_handler", @@ -163,7 +162,9 @@ ray_cc_library( srcs = ["string_utils.cc"], hdrs = ["string_utils.h"], deps = [ + "//src/ray/common:status_or", "@com_google_absl//absl/strings", + "@com_google_absl//absl/strings:str_format", ], ) @@ -223,6 +224,7 @@ ray_cc_library( ":logging", ":macros", ":process", + ":string_utils", "//src/ray/thirdparty:sha256", "@boost//:asio", "@com_google_absl//absl/container:flat_hash_map", @@ -378,3 +380,12 @@ ray_cc_library( "@com_google_absl//absl/container:flat_hash_map", ], ) + +ray_cc_library( + name = "path_utils", + srcs = ["path_utils.cc"], + hdrs = ["path_utils.h"], + deps = [ + "@com_google_absl//absl/strings:str_format", + ], +) diff --git a/src/ray/util/logging.cc b/src/ray/util/logging.cc index 0df1bafbbe56..bcc7e261a3c7 100644 --- a/src/ray/util/logging.cc +++ b/src/ray/util/logging.cc @@ -16,6 +16,8 @@ #include +#include + #ifdef _WIN32 #include #else @@ -44,7 +46,6 @@ #include "absl/debugging/symbolize.h" #include "absl/strings/numbers.h" #include "absl/strings/str_format.h" -#include "ray/util/string_utils.h" #include "ray/util/thread_utils.h" #include "spdlog/sinks/basic_file_sink.h" #include "spdlog/sinks/rotating_file_sink.h" @@ -344,34 +345,6 @@ void RayLog::InitLogFormat() { return 1; } -/*static*/ std::string RayLog::GetLogFilepathFromDirectory(const std::string &log_dir, - const std::string &app_name) { - if (log_dir.empty()) { - return ""; - } - -#ifdef _WIN32 - int pid = _getpid(); -#else - pid_t pid = getpid(); -#endif - return JoinPaths(log_dir, absl::StrFormat("%s_%d.log", app_name, pid)); -} - -/*static*/ std::string RayLog::GetErrLogFilepathFromDirectory( - const std::string &log_dir, const std::string &app_name) { - if (log_dir.empty()) { - return ""; - } - -#ifdef _WIN32 - int pid = _getpid(); -#else - pid_t pid = getpid(); -#endif - return JoinPaths(log_dir, absl::StrFormat("%s_%d.err", app_name, pid)); -} - /*static*/ void RayLog::StartRayLog(const std::string &app_name, RayLogLevel severity_threshold, const std::string &log_filepath, diff --git a/src/ray/util/logging.h b/src/ray/util/logging.h index ff3a66545d92..4bdad47f96d2 100644 --- a/src/ray/util/logging.h +++ b/src/ray/util/logging.h @@ -62,7 +62,6 @@ #include #include "ray/util/macros.h" -#include "ray/util/string_utils.h" #if defined(_WIN32) #ifndef _WINDOWS_ @@ -259,14 +258,6 @@ class RayLog { /// This function to judge whether current log is fatal or not. bool IsFatal() const; - /// Get filepath to dump log from [log_dir] and [app_name]. - /// If [log_dir] empty, return empty filepath. - static std::string GetLogFilepathFromDirectory(const std::string &log_dir, - const std::string &app_name); - - static std::string GetErrLogFilepathFromDirectory(const std::string &log_dir, - const std::string &app_name); - /// The init function of ray log for a program which should be called only once. /// /// \parem appName The app name which starts the log. diff --git a/src/ray/util/path_utils.cc b/src/ray/util/path_utils.cc new file mode 100644 index 000000000000..de60c86bb2ca --- /dev/null +++ b/src/ray/util/path_utils.cc @@ -0,0 +1,52 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include +#include + +#ifdef _WIN32 +#include +#else +#include +#endif + +#include "absl/strings/str_format.h" +#include "ray/util/path_utils.h" + +int64_t GetProcessId() { +#ifdef _WIN32 + return static_cast(_getpid()); +#else + return static_cast(getpid()); +#endif +} + +namespace ray { + +std::string GetLogFilepathFromDirectory(const std::string &log_dir, + const std::string &app_name) { + if (log_dir.empty()) { + return ""; + } + return JoinPaths(log_dir, absl::StrFormat("%s_%d.log", app_name, GetProcessId())); +} + +std::string GetErrLogFilepathFromDirectory(const std::string &log_dir, + const std::string &app_name) { + if (log_dir.empty()) { + return ""; + } + return JoinPaths(log_dir, absl::StrFormat("%s_%d.err", app_name, GetProcessId())); +} +} // namespace ray diff --git a/src/ray/util/path_utils.h b/src/ray/util/path_utils.h new file mode 100644 index 000000000000..d8f67fd12d78 --- /dev/null +++ b/src/ray/util/path_utils.h @@ -0,0 +1,54 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include + +namespace ray { + +/** + @return the filepath of the log file from the log_dir and the app_name + */ +std::string GetLogFilepathFromDirectory(const std::string &log_dir, + const std::string &app_name); + +/** + @return the filepath of the err file from the log_dir and the app_name + */ +std::string GetErrLogFilepathFromDirectory(const std::string &log_dir, + const std::string &app_name); + +/** + Cross platform utility for joining paths together with the appropriate separator. + @return the joined path with the base path and all of the components. + */ +template +std::string JoinPaths(std::string base, const Paths &...components) { + auto join = [](auto &joined_path, const auto &component) { + // if the components begin with "/" or "////", just get the path name. + if (!component.empty() && + component.front() == std::filesystem::path::preferred_separator) { + joined_path = std::filesystem::path(joined_path) + .append(std::filesystem::path(component).filename().string()) + .string(); + } else { + joined_path = std::filesystem::path(joined_path).append(component).string(); + } + }; + (join(base, std::string_view(components)), ...); + return base; +} + +} // namespace ray diff --git a/src/ray/util/string_utils.cc b/src/ray/util/string_utils.cc index 75d2395de432..ffd03b7065fc 100644 --- a/src/ray/util/string_utils.cc +++ b/src/ray/util/string_utils.cc @@ -40,5 +40,4 @@ std::string ScanToken(std::string::const_iterator &c_str, std::string format) { } return result; } - } // namespace ray diff --git a/src/ray/util/string_utils.h b/src/ray/util/string_utils.h index 5181291b0ae2..db1b9279a71a 100644 --- a/src/ray/util/string_utils.h +++ b/src/ray/util/string_utils.h @@ -14,11 +14,13 @@ #pragma once -#include +#include #include #include #include "absl/strings/str_cat.h" +#include "absl/strings/str_format.h" +#include "ray/common/status_or.h" namespace ray { @@ -31,24 +33,6 @@ std::string StringToHex(const std::string &str); /// \return The scanned prefix of the string, if any. std::string ScanToken(std::string::const_iterator &c_str, std::string format); -/// \return The result of joining multiple path components. -template -std::string JoinPaths(std::string base, const Paths &...components) { - auto join = [](auto &joined_path, const auto &component) { - // if the components begin with "/" or "////", just get the path name. - if (!component.empty() && - component.front() == std::filesystem::path::preferred_separator) { - joined_path = std::filesystem::path(joined_path) - .append(std::filesystem::path(component).filename().string()) - .string(); - } else { - joined_path = std::filesystem::path(joined_path).append(component).string(); - } - }; - (join(base, std::string_view(components)), ...); - return base; -} - template std::string GetDebugString(const T &element, std::string (*debug_string_func)(const T &)) { @@ -76,4 +60,42 @@ inline std::string VectorToString(const std::vector &vec, const F &debug_stri return result; } +/** + Usage: + StatusOr parsed_int = StringToInt("12345"); + if (!parsed_int.ok()) { + // handle the error + } + // Otherwise safe to use. + DoHardMath(*parsed_int) + + @tparam IntType any signed or unsigned integer type. + @param str the string to convert to an integer type. + + @return OK if the conversion was successful, + @return InvalidArgument if the string contains non-integer characters or if the + integer overflows based on the type. +*/ +template +StatusOr StringToInt(const std::string &input) noexcept { + IntType value; + std::from_chars_result ret = + std::from_chars(input.data(), input.data() + input.size(), value); + if (ret.ec == std::errc::invalid_argument || ret.ptr != input.data() + input.size()) { + return Status::InvalidArgument( + absl::StrFormat("Failed to convert %s to an integer type because the input " + "contains invalid characters.", + input)); + } + if (ret.ec == std::errc::result_out_of_range) { + // There isn't a straightforward and portable way to print out the unmangled type + // information. + return Status::InvalidArgument( + absl::StrFormat("Failed to convert %s into the integer " + "type. The result is too large to fit into the type provided.", + input)); + } + return StatusOr(value); +} + } // namespace ray diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index 0a5fa34aaf7f..a4436bdf735c 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -74,6 +74,7 @@ ray_cc_test( "//src/ray/protobuf:gcs_cc_proto", "//src/ray/util", "//src/ray/util:event", + "//src/ray/util:path_utils", "@boost//:range", "@com_google_googletest//:gtest_main", ], @@ -98,6 +99,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/util:filesystem", + "//src/ray/util:path_utils", "//src/ray/util:string_utils", "@com_google_googletest//:gtest_main", ], @@ -120,6 +122,7 @@ ray_cc_test( "//src/ray/common:status", "//src/ray/util", "//src/ray/util:env", + "//src/ray/util:path_utils", "@boost//:asio", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", @@ -157,6 +160,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:raylet_lib", + "//src/ray/util:path_utils", "@com_google_googletest//:gtest_main", ], ) @@ -389,3 +393,15 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "string_utils_test", + size = "small", + srcs = ["string_utils_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:status_or", + "//src/ray/util:string_utils", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/util/tests/event_test.cc b/src/ray/util/tests/event_test.cc index 674001be44c7..60821bcbc699 100644 --- a/src/ray/util/tests/event_test.cc +++ b/src/ray/util/tests/event_test.cc @@ -29,6 +29,7 @@ #include #include "ray/common/ray_config.h" +#include "ray/util/path_utils.h" #include "ray/util/random.h" #include "ray/util/string_utils.h" #include "src/ray/protobuf/gcs.pb.h" @@ -684,7 +685,7 @@ TEST_F(EventTest, TestLogEvent) { ray::RayEvent::SetEmitToLogFile(true); // Initialize log level to error const std::string app_name = "event_test"; - const std::string log_filepath = RayLog::GetLogFilepathFromDirectory(log_dir, app_name); + const std::string log_filepath = GetLogFilepathFromDirectory(log_dir, app_name); ray::RayLog::StartRayLog(app_name, ray::RayLogLevel::ERROR, log_filepath); EventManager::Instance().AddReporter(std::make_shared()); RayEventContext::Instance().SetEventContext( @@ -774,7 +775,7 @@ int main(int argc, char **argv) { // Use ERROR type logger by default to avoid printing large scale logs in current test. const std::string app_name = "event_test"; const std::string log_filepath = - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", app_name); + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", app_name); ray::RayLog::StartRayLog(app_name, ray::RayLogLevel::INFO, log_filepath); return RUN_ALL_TESTS(); } diff --git a/src/ray/util/tests/filesystem_test.cc b/src/ray/util/tests/filesystem_test.cc index 0f1119ed2542..e9cfcd138653 100644 --- a/src/ray/util/tests/filesystem_test.cc +++ b/src/ray/util/tests/filesystem_test.cc @@ -21,6 +21,8 @@ #include #include +#include "ray/util/path_utils.h" + namespace ray { namespace testing { diff --git a/src/ray/util/tests/logging_test.cc b/src/ray/util/tests/logging_test.cc index de44a48706c7..bd320bd98f7f 100644 --- a/src/ray/util/tests/logging_test.cc +++ b/src/ray/util/tests/logging_test.cc @@ -29,6 +29,7 @@ #include "ray/common/status.h" #include "ray/util/env.h" #include "ray/util/filesystem.h" +#include "ray/util/path_utils.h" #include "ray/util/util.h" using namespace testing; // NOLINT @@ -247,8 +248,7 @@ TEST(PrintLogTest, TestJSONLogging) { TEST(PrintLogTest, LogTestWithInit) { // Test empty app name. const std::string log_dir = ray::GetUserTempDir(); - const std::string log_filepath = - RayLog::GetLogFilepathFromDirectory(log_dir, /*app_name=*/""); + const std::string log_filepath = GetLogFilepathFromDirectory(log_dir, /*app_name=*/""); RayLog::StartRayLog(/*app_name=*/"", RayLogLevel::DEBUG, log_filepath); PrintLog(); RayLog::ShutDownRayLog(); @@ -258,7 +258,7 @@ TEST(PrintLogTest, LogTestWithInit) { TEST(LogPerfTest, PerfTest) { const std::string app_name = "/fake/path/to/appdire/LogPerfTest"; const std::string log_dir = ray::GetUserTempDir(); - const std::string log_filepath = RayLog::GetLogFilepathFromDirectory(log_dir, app_name); + const std::string log_filepath = GetLogFilepathFromDirectory(log_dir, app_name); RayLog::StartRayLog(app_name, RayLogLevel::ERROR, log_filepath); int rounds = 10; diff --git a/src/ray/util/tests/signal_test.cc b/src/ray/util/tests/signal_test.cc index 9bb15221a120..23324fa07991 100644 --- a/src/ray/util/tests/signal_test.cc +++ b/src/ray/util/tests/signal_test.cc @@ -20,6 +20,7 @@ #include "gtest/gtest.h" #include "ray/util/logging.h" +#include "ray/util/path_utils.h" #include "ray/util/util.h" // This test just print some call stack information. @@ -104,9 +105,9 @@ int main(int argc, char **argv) { argv[0], ray::RayLogLevel::INFO, /*log_filepath=*/ - ray::RayLog::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), /*err_log_filepath=*/ - ray::RayLog::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), + ray::GetErrLogFilepathFromDirectory(/*log_dir=*/"", /*app_name=*/argv[0]), ray::RayLog::GetRayLogRotationMaxBytesOrDefault(), ray::RayLog::GetRayLogRotationBackupCountOrDefault()); ray::RayLog::InstallFailureSignalHandler(argv[0]); diff --git a/src/ray/util/tests/string_utils_test.cc b/src/ray/util/tests/string_utils_test.cc new file mode 100644 index 000000000000..55c4394660e4 --- /dev/null +++ b/src/ray/util/tests/string_utils_test.cc @@ -0,0 +1,75 @@ +// Copyright The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/util/string_utils.h" + +#include + +#include + +#include "ray/common/status_or.h" + +namespace ray { + +TEST(StringUtilsTest, StringToIntFailsWhenNonNumberInputWithInvalidArgument) { + std::string input = "imanumber"; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntFailsWhenEmptyStringWithInvalidArgument) { + std::string input = ""; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntFailsWhenNumberWithSpacesWithInvalidArgument) { + std::string leading_space = " 1"; + StatusOr parsed = StringToInt(leading_space); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); + + std::string trailing_space = "1 "; + parsed = StringToInt(trailing_space); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); + + std::string space_separated = "1 2"; + parsed = StringToInt(space_separated); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntFailsWhenNonIntegerAndIntegerCharsWithInvalidArgumen) { + std::string input = "123hellodarknessmyoldfriend"; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntFailWhenIntegerTooOverflowsTypeWithInvalidArgument) { + std::string input = "4294967296"; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.IsInvalidArgument()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntSucceedsWithNegativeIntegers) { + std::string input = "-4294967296"; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.ok()) << parsed.ToString(); +} + +TEST(StringUtilsTest, StringToIntSucceedsWithPositiveIntegers) { + std::string input = "4294967296"; + StatusOr parsed = StringToInt(input); + ASSERT_TRUE(parsed.ok()) << parsed.ToString(); +} + +} // namespace ray diff --git a/src/ray/util/util.cc b/src/ray/util/util.cc index 788c925d2911..c01f16b74952 100644 --- a/src/ray/util/util.cc +++ b/src/ray/util/util.cc @@ -37,6 +37,7 @@ #include "ray/util/filesystem.h" #include "ray/util/logging.h" #include "ray/util/process.h" +#include "ray/util/string_utils.h" std::string EndpointToUrl( const boost::asio::generic::basic_endpoint &ep, From 98b29ee1a8f9b4154fcff50e015693e9a6eade35 Mon Sep 17 00:00:00 2001 From: Krishna Kalyan Date: Thu, 31 Jul 2025 23:05:21 +0200 Subject: [PATCH 0434/1566] [data]Add stratify parameter to train_test_split method (#54624) Add stratify parameter to train_test_split method ## Related issue number https://github.com/ray-project/ray/issues/53297 --------- Signed-off-by: Krishna Kalyan Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 109 +++++++++++++++++++++++++--- python/ray/data/tests/test_split.py | 84 +++++++++++++++++++++ 2 files changed, 182 insertions(+), 11 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 838de0266267..f9388af9c1e9 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -138,6 +138,9 @@ logger = logging.getLogger(__name__) +# Special column name for train/test split to avoid collision with user columns +_TRAIN_TEST_SPLIT_COLUMN = "__ray_train_test_split_is_train__" + TensorflowFeatureTypeSpec = Union[ "tf.TypeSpec", List["tf.TypeSpec"], Dict[str, "tf.TypeSpec"] ] @@ -2256,6 +2259,7 @@ def train_test_split( *, shuffle: bool = False, seed: Optional[int] = None, + stratify: Optional[str] = None, ) -> Tuple["MaterializedDataset", "MaterializedDataset"]: """Materialize and split the dataset into train and test subsets. @@ -2279,6 +2283,9 @@ def train_test_split( large dataset. seed: Fix the random seed to use for shuffle, otherwise one is chosen based on system randomness. Ignored if ``shuffle=False``. + stratify: Optional column name to use for stratified sampling. If provided, + the splits will maintain the same proportions of each class in the + stratify column across both train and test sets. Returns: Train and test subsets as two ``MaterializedDatasets``. @@ -2294,23 +2301,103 @@ def train_test_split( if not isinstance(test_size, (int, float)): raise TypeError(f"`test_size` must be int or float got {type(test_size)}.") + + # Validate that shuffle=True and stratify are not both specified + if shuffle and stratify is not None: + raise ValueError( + "Cannot specify both 'shuffle=True' and 'stratify' parameters. " + "Stratified splitting maintains class proportions and is incompatible with shuffling." + ) + + # Handle stratified splitting + if stratify is not None: + return self._stratified_train_test_split(ds, test_size, stratify) + + # Handle non-stratified splitting (existing logic) if isinstance(test_size, float): - if test_size <= 0 or test_size >= 1: - raise ValueError( - "If `test_size` is a float, it must be bigger than 0 and smaller " - f"than 1. Got {test_size}." - ) + self._validate_test_size_float(test_size) return ds.split_proportionately([1 - test_size]) else: + self._validate_test_size_int(test_size, ds) ds_length = ds.count() - if test_size <= 0 or test_size >= ds_length: - raise ValueError( - "If `test_size` is an int, it must be bigger than 0 and smaller " - f"than the size of the dataset ({ds_length}). " - f"Got {test_size}." - ) return ds.split_at_indices([ds_length - test_size]) + def _stratified_train_test_split( + self, ds: "Dataset", test_size: Union[int, float], stratify: str + ) -> Tuple["MaterializedDataset", "MaterializedDataset"]: + """Perform stratified train-test split on the dataset. + + Args: + ds: The dataset to split. + test_size: Test size as int or float. + stratify: Column name to use for stratified sampling. + + Returns: + Train and test subsets as two MaterializedDatasets. + """ + # Normalize test_size to float (only materialize if needed) + if isinstance(test_size, int): + ds_length = self._validate_test_size_int(test_size, ds) + test_size = test_size / ds_length + else: + self._validate_test_size_float(test_size) + + def add_train_flag(group_batch): + n = len(group_batch) + test_count = int(n * test_size) + group_batch[_TRAIN_TEST_SPLIT_COLUMN] = np.array( + [True] * (n - test_count) + [False] * test_count + ) + return group_batch + + split_ds = ds.groupby(stratify).map_groups(add_train_flag).materialize() + + train_ds = split_ds.filter( + lambda row: row[_TRAIN_TEST_SPLIT_COLUMN] + ).drop_columns([_TRAIN_TEST_SPLIT_COLUMN]) + test_ds = split_ds.filter( + lambda row: not row[_TRAIN_TEST_SPLIT_COLUMN] + ).drop_columns([_TRAIN_TEST_SPLIT_COLUMN]) + + return train_ds, test_ds + + def _validate_test_size_float(self, test_size: float) -> None: + """Validate test_size when it's a float. + + Args: + test_size: Test size as float between 0 and 1. + + Raises: + ValueError: If test_size is not in valid range. + """ + if test_size <= 0 or test_size >= 1: + raise ValueError( + "If `test_size` is a float, it must be bigger than 0 and smaller " + f"than 1. Got {test_size}." + ) + + def _validate_test_size_int(self, test_size: int, ds: "Dataset") -> int: + """Validate test_size when it's an int and return dataset length. + + Args: + test_size: Test size as int. + ds: Dataset to validate against. + + Returns: + Dataset length for reuse. + + Raises: + ValueError: If test_size is not in valid range. + """ + ds_length = ds.count() + if test_size <= 0 or test_size >= ds_length: + raise ValueError( + "If `test_size` is an int, it must be bigger than 0 and smaller " + f"than the size of the dataset ({ds_length}). " + f"Got {test_size}." + ) + return ds_length + @PublicAPI(api_group=SMJ_API_GROUP) def union(self, *other: List["Dataset"]) -> "Dataset": """Concatenate :class:`Datasets ` across rows. diff --git a/python/ray/data/tests/test_split.py b/python/ray/data/tests/test_split.py index 457fe525a101..792436588439 100644 --- a/python/ray/data/tests/test_split.py +++ b/python/ray/data/tests/test_split.py @@ -776,6 +776,90 @@ def test_train_test_split(ray_start_regular_shared): ds.train_test_split(test_size=9) +def test_train_test_split_stratified(ray_start_regular_shared): + # Test basic stratification with simple dataset + data = [ + {"id": 0, "label": "A"}, + {"id": 1, "label": "A"}, + {"id": 2, "label": "B"}, + {"id": 3, "label": "B"}, + {"id": 4, "label": "C"}, + {"id": 5, "label": "C"}, + ] + ds = ray.data.from_items(data) + + # Test stratified split + train, test = ds.train_test_split(test_size=0.5, stratify="label") + + # Check that we have the right number of samples + assert train.count() == 3 + assert test.count() == 3 + + # Check that class proportions are preserved + train_labels = [row["label"] for row in train.take()] + test_labels = [row["label"] for row in test.take()] + + train_label_counts = {label: train_labels.count(label) for label in ["A", "B", "C"]} + test_label_counts = {label: test_labels.count(label) for label in ["A", "B", "C"]} + + # Each class should have exactly 1 sample in each split + assert train_label_counts == {"A": 1, "B": 1, "C": 1} + assert test_label_counts == {"A": 1, "B": 1, "C": 1} + + +def test_train_test_split_shuffle_stratify_error(ray_start_regular_shared): + # Test that shuffle=True and stratify cannot be used together + data = [ + {"id": 0, "label": "A"}, + {"id": 1, "label": "A"}, + {"id": 2, "label": "B"}, + {"id": 3, "label": "B"}, + ] + ds = ray.data.from_items(data) + + # Test that combining shuffle=True and stratify raises ValueError + with pytest.raises( + ValueError, match="Cannot specify both 'shuffle=True' and 'stratify'" + ): + ds.train_test_split(test_size=0.5, shuffle=True, stratify="label") + + +def test_train_test_split_stratified_imbalanced(ray_start_regular_shared): + # Test stratified split with imbalanced class distribution + data = [ + {"id": 0, "label": "A"}, + {"id": 1, "label": "A"}, + {"id": 2, "label": "A"}, + {"id": 3, "label": "A"}, + {"id": 4, "label": "A"}, + {"id": 5, "label": "A"}, # 6 samples of class A + {"id": 6, "label": "B"}, + {"id": 7, "label": "B"}, # 2 samples of class B + {"id": 8, "label": "C"}, # 1 sample of class C + ] + ds = ray.data.from_items(data) + + # Test with 0.3 test size + train, test = ds.train_test_split(test_size=0.3, stratify="label") + + train_labels = [row["label"] for row in train.take()] + test_labels = [row["label"] for row in test.take()] + + train_label_counts = {label: train_labels.count(label) for label in ["A", "B", "C"]} + test_label_counts = {label: test_labels.count(label) for label in ["A", "B", "C"]} + + # Check proportions are maintained as closely as possible + # Class A: 6 samples -> test_count = int(6 * 0.3) = 1 -> train: 5, test: 1 + # Class B: 2 samples -> test_count = int(2 * 0.3) = 0 -> train: 2, test: 0 + # Class C: 1 sample -> test_count = int(1 * 0.3) = 0 -> train: 1, test: 0 + assert train_label_counts["A"] == 5 + assert test_label_counts["A"] == 1 + assert train_label_counts["B"] == 2 + assert test_label_counts["B"] == 0 + assert train_label_counts["C"] == 1 + assert test_label_counts["C"] == 0 + + def test_split_is_not_disruptive(ray_start_cluster): ray.shutdown() ds = ray.data.range(100, override_num_blocks=10).map_batches(lambda x: x) From 7ffbadc372e4fd9341dfc2f65ba53244e6708127 Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Thu, 31 Jul 2025 14:07:32 -0700 Subject: [PATCH 0435/1566] [serve.llm] fix llm server test logic after refactor (#55080) Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_server.py | 8 ++------ .../_internal/serve/utils/lora_serve_utils.py | 7 +++++++ .../cpu/deployments/llm/test_llm_server.py | 4 +++- .../llm/tests/serve/mocks/mock_vllm_engine.py | 18 +++++++++++++++--- 4 files changed, 27 insertions(+), 10 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index b2a97d8414d8..9af836b5eab4 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -41,7 +41,6 @@ ) from ray.llm._internal.serve.utils.lora_serve_utils import ( LoraModelLoader, - get_lora_mirror_config, ) if TYPE_CHECKING: @@ -221,12 +220,9 @@ def _init_multiplex_loader( ) async def _load_model(lora_model_id: str) -> DiskMultiplexConfig: - lora_mirror_config = await get_lora_mirror_config( - lora_model_id, self._llm_config - ) - return await model_downloader.load_model( + return await model_downloader.load_model_from_config( lora_model_id=lora_model_id, - lora_mirror_config=lora_mirror_config, + llm_config=self._llm_config, ) self._load_model = serve.multiplexed( diff --git a/python/ray/llm/_internal/serve/utils/lora_serve_utils.py b/python/ray/llm/_internal/serve/utils/lora_serve_utils.py index e5b28e2d97e3..8bddd40a9963 100644 --- a/python/ray/llm/_internal/serve/utils/lora_serve_utils.py +++ b/python/ray/llm/_internal/serve/utils/lora_serve_utils.py @@ -152,6 +152,13 @@ def __init__( raise ValueError(f"max_tries must be >=1, got {max_tries}") self.max_tries = max_tries + async def load_model_from_config( + self, lora_model_id: str, llm_config + ) -> DiskMultiplexConfig: + """Load a LoRA model by first fetching its mirror config from S3.""" + lora_mirror_config = await get_lora_mirror_config(lora_model_id, llm_config) + return await self.load_model(lora_model_id, lora_mirror_config) + async def load_model( self, lora_model_id: str, lora_mirror_config: LoraMirrorConfig ) -> DiskMultiplexConfig: diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index 604a1acb1762..65dcd74cf38e 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -37,11 +37,13 @@ def multiplexed_serve_handle(mock_llm_config, stream_batching_interval_ms=0): mock_llm_config.experimental_configs = { "stream_batching_interval_ms": stream_batching_interval_ms, } + # Set minimal lora_config to enable multiplexing but avoid telemetry S3 calls mock_llm_config.lora_config = LoraConfig( - dynamic_lora_loading_path="s3://my/s3/path_here", + dynamic_lora_loading_path=None, # No S3 path = no telemetry S3 calls download_timeout_s=60, max_download_tries=3, ) + app = serve.deployment(LLMServer).bind( mock_llm_config, engine_cls=MockVLLMEngine, diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 855edc14285d..5db89b1f3c0c 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -4,6 +4,7 @@ from random import randint from typing import AsyncGenerator, Dict, Union +from ray.llm._internal.common.utils.cloud_utils import LoraMirrorConfig from ray.llm._internal.serve.configs.openai_api_models import ( ChatCompletionRequest, ChatCompletionResponse, @@ -263,15 +264,26 @@ async def _generate_completion_response( class FakeLoraModelLoader(LoraModelLoader): - """Fake LoRA model loader for testing.""" + """Fake LoRA model loader for testing that bypasses S3 entirely.""" + + async def load_model_from_config( + self, lora_model_id: str, llm_config + ) -> DiskMultiplexConfig: + """Load a fake LoRA model without any S3 access.""" + return DiskMultiplexConfig( + model_id=lora_model_id, + max_total_tokens=llm_config.max_request_context_length, + local_path="/fake/local/path", + lora_assigned_int_id=random.randint(1, 100), + ) async def load_model( - self, lora_model_id: str, llm_config: LLMConfig + self, lora_model_id: str, lora_mirror_config: LoraMirrorConfig ) -> DiskMultiplexConfig: """Load a fake LoRA model.""" return DiskMultiplexConfig( model_id=lora_model_id, - max_total_tokens=llm_config.max_request_context_length, + max_total_tokens=lora_mirror_config.max_total_tokens, local_path="/fake/local/path", lora_assigned_int_id=random.randint(1, 100), ) From 209e280e220bcb1297660ac0c76ccd167c15fdd7 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 31 Jul 2025 15:09:15 -0700 Subject: [PATCH 0436/1566] [core][GPU Objects] Move the registration of torch_custom_serializer to a more general path (#55113) Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 17 +++++++++++++++++ .../ray/experimental/collective/collective.py | 5 ----- 2 files changed, 17 insertions(+), 5 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 60221cb474b5..8905df69e719 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -131,6 +131,12 @@ class SerializationContext: def __init__(self, worker): self.worker = worker self._thread_local = threading.local() + # This flag is to mark whether the custom serializer for torch.Tensor has + # been registered. If the method is decorated with + # `@ray.method(tensor_transport="xxx")`, it will use external transport + # (e.g. gloo, nccl, etc.) for tensor communication between actors, + # instead of the normal serialize -> object store -> deserialize codepath. + self._torch_custom_serializer_registered = False def actor_handle_reducer(obj): ray._private.worker.global_worker.check_connected() @@ -622,6 +628,17 @@ def serialize_and_store_gpu_objects( assert ( obj_id is not None ), "`obj_id` is required, and it is the key to retrieve corresponding tensors from the GPU object store." + if not self._torch_custom_serializer_registered: + # Register a custom serializer for torch.Tensor. If the method is + # decorated with `@ray.method(tensor_transport="xxx")`, it will + # use external transport (e.g. gloo, nccl, etc.) for tensor + # communication between actors, instead of the normal serialize -> + # object store -> deserialize codepath. + from ray.experimental.channel.torch_tensor_type import TorchTensorType + + TorchTensorType().register_custom_serializer() + self._torch_custom_serializer_registered = True + serialized_val, tensors = self._serialize_and_retrieve_tensors(value) if tensors: obj_id = obj_id.decode("ascii") diff --git a/python/ray/experimental/collective/collective.py b/python/ray/experimental/collective/collective.py index d94f28ea6ffc..b2b05a931d39 100644 --- a/python/ray/experimental/collective/collective.py +++ b/python/ray/experimental/collective/collective.py @@ -3,7 +3,6 @@ import uuid import ray -from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.experimental.collective.communicator import CommunicatorHandle from ray.experimental.collective.util import get_address_and_port import ray.experimental.internal_kv as internal_kv @@ -77,10 +76,6 @@ def _do_init_collective_group( ray.util.collective.init_collective_group( world_size, rank, backend, group_name=name ) - # Register a custom serializer for torch.Tensor. This allows torch.Tensors - # to use the created collective for communication between actors, instead of - # the normal serialize -> object store -> deserialize codepath. - TorchTensorType().register_custom_serializer() def _do_destroy_collective_group(self, name): From ce908d05827e255fdcaa26dc730f7143970f24e2 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Thu, 31 Jul 2025 15:22:11 -0700 Subject: [PATCH 0437/1566] [Core] Fix Gang Resource Request Proto Message Generation to Send to Autoscaler (#55106) To support label selector in the gang resource request send to the autoscaler, we have a repeated `BundleSelector` field in the `GangResoruceRequest`. Each `BundleSelector` represents a full set of bundles and multiple `BundleSelector`s are for fallback purposes. Multiple bundles in the same request will be represented as multiple `ResourceRequest`s inside the `BundleSelector`. There is a bug in the current implementation where the logic put the each bundle in the same gang resource requests in different bundle selectors. This PR fix the issue by making all the bundle in the gang resource requests to a single bundle selector. #51564 --------- Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc | 7 ++++--- .../gcs_server/test/gcs_autoscaler_state_manager_test.cc | 4 ++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 6ef1cff913fe..d225e9b27bb2 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -220,6 +220,10 @@ void GcsAutoscalerStateManager::GetPendingGangResourceRequests( // Add the strategy as detail info for the gang resource request. gang_resource_req->set_details(FormatPlacementGroupDetails(pg_data)); + // Create a BundleSelector. Only one BundleSelector will be created for now. + // Multiple will be added when we implement the fallback mechanism. + auto *bundle_selector = gang_resource_req->add_bundle_selectors(); + // Copy the PG's bundles to the request. for (auto &&bundle : std::move(*pg_data.mutable_bundles())) { if (!NodeID::FromBinary(bundle.node_id()).IsNil()) { @@ -239,9 +243,6 @@ void GcsAutoscalerStateManager::GetPendingGangResourceRequests( auto legacy_resource_req = gang_resource_req->add_requests(); *legacy_resource_req->mutable_resources_bundle() = unit_resources; - // Create a new BundleSelector - auto *bundle_selector = gang_resource_req->add_bundle_selectors(); - // Add ResourceRequest for this bundle. auto *bundle_resource_req = bundle_selector->add_resource_requests(); *bundle_resource_req->mutable_resources_bundle() = unit_resources; diff --git a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc index 6a2bd18224d2..a706feba521b 100644 --- a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc @@ -1127,10 +1127,10 @@ TEST_F(GcsAutoscalerStateManagerTest, ASSERT_EQ(requests.size(), 1); const auto &req = requests.Get(0); - ASSERT_EQ(req.bundle_selectors_size(), 2); + ASSERT_EQ(req.bundle_selectors_size(), 1); const auto &r1 = req.bundle_selectors(0).resource_requests(0); - const auto &r2 = req.bundle_selectors(1).resource_requests(0); + const auto &r2 = req.bundle_selectors(0).resource_requests(1); ASSERT_EQ(r1.label_selectors_size(), 1); ASSERT_EQ(r2.label_selectors_size(), 1); From 48d277f8e1b1a936e40b9415dc0c5902af3f6335 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Thu, 31 Jul 2025 16:56:29 -0700 Subject: [PATCH 0438/1566] [Core] Add Logic to Emit Task Events to Event Aggregator (#53402) This PR adds the logic to emit task events to event aggregator, mainly: * Update the task event buffer logic to convert and send the ray event to the event aggregator at the same time when the task events are converted and sent to GCS * Added 2 configs to control turning on/off the path to send to GCS and the path to send to event aggregator * Added test task event buffer tests for the ray event to aggregator path --------- Signed-off-by: Mengjin Yan Signed-off-by: myan Signed-off-by: Douglas Strodtman --- BUILD.bazel | 9 + .../modules/aggregator/aggregator_agent.py | 4 +- .../aggregator/tests/test_aggregator_agent.py | 14 +- python/ray/tests/test_metrics_agent.py | 4 +- src/ray/common/grpc_util.h | 12 + src/ray/common/ray_config_def.h | 11 + src/ray/core_worker/BUILD.bazel | 1 + src/ray/core_worker/core_worker.cc | 57 +- src/ray/core_worker/core_worker_process.cc | 4 +- src/ray/core_worker/task_event_buffer.cc | 432 ++++++++++++--- src/ray/core_worker/task_event_buffer.h | 179 ++++-- .../task_event_buffer_export_event_test.cc | 13 +- .../test/task_event_buffer_test.cc | 515 +++++++++++++++--- src/ray/gcs/gcs_server/gcs_task_manager.cc | 6 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 8 +- .../events_actor_task_definition_event.proto | 7 +- .../events_actor_task_execution_event.proto | 3 - .../events_event_aggregator_service.proto | 16 +- .../events_task_definition_event.proto | 6 +- .../events_task_execution_event.proto | 5 +- src/ray/protobuf/gcs_service.proto | 2 +- src/ray/rpc/event_aggregator_client.h | 47 +- src/ray/rpc/gcs_server/gcs_rpc_client.h | 2 +- src/ray/rpc/gcs_server/gcs_rpc_server.h | 12 +- 24 files changed, 1075 insertions(+), 294 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 696ac822df98..80bb3e80f9b1 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -196,7 +196,9 @@ ray_cc_library( name = "event_aggregator_client", hdrs = ["src/ray/rpc/event_aggregator_client.h"], deps = [ + ":event_aggregator_cc_rpc", ":grpc_client", + "//src/ray/common:status", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", "//src/ray/util:logging", "@com_github_grpc_grpc//:grpc++", @@ -389,6 +391,13 @@ ray_cc_library( ], ) +cc_grpc_library( + name = "event_aggregator_cc_rpc", + srcs = ["//src/ray/protobuf:events_event_aggregator_service_proto"], + grpc_only = True, + deps = ["//src/ray/protobuf:events_event_aggregator_service_cc_proto"], +) + # pubsub. cc_grpc_library( name = "pubsub_cc_grpc", diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 41582c6309de..f6c3f240da76 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -213,10 +213,10 @@ def _receive_events(self, request): status_message += ( f", and {len(error_messages) - truncate_num} more events dropped" ) - status = events_event_aggregator_service_pb2.AddEventStatus( + status = events_event_aggregator_service_pb2.AddEventsStatus( code=status_code, message=status_message ) - return events_event_aggregator_service_pb2.AddEventReply(status=status) + return events_event_aggregator_service_pb2.AddEventsReply(status=status) def _send_events_to_external_service(self, event_batch): """ diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 456a11029248..9ee1f3e3c80f 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -22,7 +22,7 @@ EventAggregatorServiceStub, ) from ray.core.generated.events_event_aggregator_service_pb2 import ( - AddEventRequest, + AddEventsRequest, RayEventsData, TaskEventsMetadata, ) @@ -92,7 +92,7 @@ def test_aggregator_agent_receive_publish_events_normally( seconds, nanos = divmod(test_time, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( @@ -154,7 +154,7 @@ def test_aggregator_agent_receive_event_full( seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( @@ -196,7 +196,7 @@ def test_aggregator_agent_receive_dropped_at_core_worker( seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( @@ -247,7 +247,7 @@ def test_aggregator_agent_receive_multiple_events( now = time.time_ns() seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( @@ -306,7 +306,7 @@ def test_aggregator_agent_receive_multiple_events_failures( now = time.time_ns() seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( @@ -353,7 +353,7 @@ def test_aggregator_agent_receive_empty_events( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[], task_events_metadata=TaskEventsMetadata( diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index f5a98746d342..6e0ac7fd6f00 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -22,7 +22,7 @@ from ray.core.generated.common_pb2 import TaskAttempt from ray.core.generated.events_base_event_pb2 import RayEvent from ray.core.generated.events_event_aggregator_service_pb2 import ( - AddEventRequest, + AddEventsRequest, RayEventsData, TaskEventsMetadata, ) @@ -528,7 +528,7 @@ def test_case_value_correct(): now = time.time_ns() seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( diff --git a/src/ray/common/grpc_util.h b/src/ray/common/grpc_util.h index 7077d2d3c8b1..458c5d17d3e8 100644 --- a/src/ray/common/grpc_util.h +++ b/src/ray/common/grpc_util.h @@ -16,6 +16,7 @@ #include #include +#include #include #include @@ -231,4 +232,15 @@ inline grpc::ChannelArguments CreateDefaultChannelArguments() { return arguments; } +// Convert an epoch time in nanoseconds to a protobuf timestamp +// Ref: https://protobuf.dev/reference/php/api-docs/Google/Protobuf/Timestamp.html +inline google::protobuf::Timestamp AbslTimeNanosToProtoTimestamp(int64_t nanos) { + google::protobuf::Timestamp timestamp; + + // Extract the seconds and the fractional nanoseconds from the epoch time + timestamp.set_seconds(nanos / 1000000000); + timestamp.set_nanos(nanos % 1000000000); + return timestamp; +} + } // namespace ray diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 5549d904a4cd..03c608025ba2 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -921,6 +921,17 @@ RAY_CONFIG(bool, enable_export_api_write, false) // Example config: `export RAY_enable_export_api_write_config='EXPORT_ACTOR,EXPORT_TASK'` RAY_CONFIG(std::vector, enable_export_api_write_config, {}) +// Whether the task events from the core worker are sent to GCS directly. +// TODO(myan): #54515 Remove this flag after the task events to GCS path is fully +// migrated to the event aggregator. +RAY_CONFIG(bool, enable_core_worker_task_event_to_gcs, true) + +// Whether to enable the ray event to send to the event aggregator. +// Currently, only task events are supported. +// TODO(myan): #54515 Remove this flag after the task events are fully migrated to the +// event aggregator. +RAY_CONFIG(bool, enable_core_worker_ray_event_to_aggregator, false) + // Configuration for pipe logger buffer size. RAY_CONFIG(uint64_t, pipe_logger_read_buf_size, 1024) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 15efadc236ca..b81f9feaba9c 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -207,6 +207,7 @@ ray_cc_library( srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], deps = [ + "//:event_aggregator_client", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:task_common", diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index f3905176455e..20183eba0729 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -41,6 +41,7 @@ #include "ray/common/task/task_util.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/pb_util.h" +#include "ray/rpc/event_aggregator_client.h" #include "ray/util/container_util.h" #include "ray/util/event.h" #include "ray/util/subreaper.h" @@ -399,7 +400,7 @@ CoreWorker::CoreWorker( options_.language, worker_context_->GetCurrentJobID(), // Driver has no parent task - /* parent_task_id */ TaskID::Nil(), + /*parent_task_id=*/TaskID::Nil(), GetCallerId(), rpc_address_, TaskID::Nil()); @@ -417,6 +418,7 @@ CoreWorker::CoreWorker( /*attempt_number=*/0, rpc::TaskStatus::RUNNING, /*timestamp=*/absl::GetCurrentTimeNanos(), + /*is_actor_task=*/false, std::make_shared(std::move(spec))); task_event_buffer_->AddTaskEvent(std::move(task_event)); } @@ -588,7 +590,8 @@ void CoreWorker::Disconnect( worker_context_->GetCurrentJobID(), /* attempt_number */ 0, rpc::TaskStatus::FINISHED, - /* timestamp */ absl::GetCurrentTimeNanos()); + /*timestamp=*/absl::GetCurrentTimeNanos(), + /*is_actor_task_event=*/worker_context_->GetCurrentActorID().IsNil()); task_event_buffer_->AddTaskEvent(std::move(task_event)); } @@ -1041,7 +1044,7 @@ Status CoreWorker::PutInLocalPlasmaStore(const RayObject &object, bool pin_object) { bool object_exists = false; RAY_RETURN_NOT_OK(plasma_store_provider_->Put( - object, object_id, /* owner_address = */ rpc_address_, &object_exists)); + object, object_id, /*owner_address=*/rpc_address_, &object_exists)); if (!object_exists) { if (pin_object) { // Tell the raylet to pin the object **after** it is created. @@ -1158,7 +1161,7 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( status = plasma_store_provider_->Create(metadata, data_size, *object_id, - /* owner_address = */ real_owner_address, + /*owner_address=*/real_owner_address, data, /*created_by_worker=*/true, is_experimental_mutable_object); @@ -1200,7 +1203,7 @@ Status CoreWorker::ExperimentalChannelWriteAcquire( int64_t timeout_ms, std::shared_ptr *data) { Status status = experimental_mutable_object_provider_->GetChannelStatus( - object_id, /*is_reader*/ false); + object_id, /*is_reader=*/false); if (!status.ok()) { return status; } @@ -1350,7 +1353,7 @@ Status CoreWorker::Get(const std::vector &ids, bool is_experimental_channel = false; for (const ObjectID &id : ids) { Status status = - experimental_mutable_object_provider_->GetChannelStatus(id, /*is_reader*/ true); + experimental_mutable_object_provider_->GetChannelStatus(id, /*is_reader=*/true); if (status.ok()) { is_experimental_channel = true; // We continue rather than break because we want to check that *all* of the @@ -2052,7 +2055,7 @@ std::vector CoreWorker::SubmitTask( /*include_job_config*/ true, /*generator_backpressure_num_objects*/ task_options.generator_backpressure_num_objects, - /*enable_task_event*/ task_options.enable_task_events, + /*enable_task_event=*/task_options.enable_task_events, task_options.labels, task_options.label_selector); ActorID root_detached_actor_id; @@ -2136,10 +2139,10 @@ Status CoreWorker::CreateActor(const RayFunction &function, rpc_address_, function, args, - /*num_returns*/ 0, + /*num_returns=*/0, new_resource, new_placement_resources, - "" /* debugger_breakpoint */, + /*debugger_breakpoint=*/"", depth, actor_creation_options.serialized_runtime_env_info, call_site, @@ -2242,7 +2245,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, task_spec, CurrentCallSite(), // Actor creation task retry happens on GCS not on core worker. - /*max_retries*/ 0); + /*max_retries=*/0); if (actor_name.empty()) { io_service_.post( @@ -2416,19 +2419,19 @@ Status CoreWorker::SubmitActorTask( task_options.num_returns, task_options.resources, required_resources, - "", /* debugger_breakpoint */ - depth, /*depth*/ - "{}", /* serialized_runtime_env_info */ + /*debugger_breakpoint=*/"", + depth, + /*serialized_runtime_env_info=*/"{}", call_site, worker_context_->GetMainThreadOrActorCreationTaskID(), task_options.concurrency_group_name, - /*include_job_config*/ false, - /*generator_backpressure_num_objects*/ + /*include_job_config=*/false, + /*generator_backpressure_num_objects=*/ task_options.generator_backpressure_num_objects, - /*enable_task_events*/ task_options.enable_task_events, - /*labels*/ {}, - /*label_selector*/ {}, - /*tensor_transport*/ task_options.tensor_transport); + /*enable_task_events=*/task_options.enable_task_events, + /*labels=*/{}, + /*label_selector=*/{}, + /*tensor_transport=*/task_options.tensor_transport); // NOTE: placement_group_capture_child_tasks and runtime_env will // be ignored in the actor because we should always follow the actor's option. @@ -2824,7 +2827,7 @@ Status CoreWorker::ExecuteTask( task_spec.AttemptNumber(), task_spec, rpc::TaskStatus::RUNNING, - /* include_task_info */ false, + /*include_task_info=*/false, update)); worker_context_->SetCurrentTask(task_spec); @@ -3212,7 +3215,7 @@ void CoreWorker::HandleReportGeneratorItemReturns( auto worker_id = WorkerID::FromBinary(request.worker_addr().worker_id()); task_manager_->HandleReportGeneratorItemReturns( request, - /*execution_signal_callback*/ + /*execution_signal_callback=*/ [reply, worker_id = std::move(worker_id), generator_id = std::move(generator_id), @@ -3736,8 +3739,8 @@ void CoreWorker::HandleUpdateObjectLocationBatch( } send_reply_callback(Status::OK(), - /*success_callback_on_reply*/ nullptr, - /*failure_callback_on_reply*/ nullptr); + /*success_callback_on_reply=*/nullptr, + /*failure_callback_on_reply=*/nullptr); } void CoreWorker::AddSpilledObjectLocationOwner( @@ -3975,7 +3978,7 @@ void CoreWorker::CancelTaskOnExecutor(TaskID task_id, } } - on_canceled(/*success*/ success, /*requested_task_running*/ requested_task_running); + on_canceled(/*success=*/success, /*requested_task_running=*/requested_task_running); } void CoreWorker::CancelActorTaskOnExecutor(WorkerID caller_worker_id, @@ -4567,7 +4570,7 @@ void CoreWorker::RecordTaskLogStart(const TaskID &task_id, attempt_number, *current_task, rpc::TaskStatus::NIL, - /* include_task_info */ false, + /*include_task_info=*/false, worker::TaskStatusEvent::TaskStateUpdate(task_log_info))); } @@ -4591,7 +4594,7 @@ void CoreWorker::RecordTaskLogEnd(const TaskID &task_id, attempt_number, *current_task, rpc::TaskStatus::NIL, - /* include_task_info */ false, + /*include_task_info=*/false, worker::TaskStatusEvent::TaskStateUpdate(task_log_info))); } @@ -4609,7 +4612,7 @@ void CoreWorker::UpdateTaskIsDebuggerPaused(const TaskID &task_id, running_task_it->second.AttemptNumber(), running_task_it->second, rpc::TaskStatus::NIL, - /* include_task_info */ false, + /*include_task_info=*/false, worker::TaskStatusEvent::TaskStateUpdate(is_debugger_paused))); } diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index d18328ae64aa..2bb0f5c26cd3 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -171,7 +171,9 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( } auto task_event_buffer = std::make_unique( - std::make_shared(options.gcs_options)); + std::make_unique(options.gcs_options), + std::make_unique(options.metrics_agent_port, + *client_call_manager)); // Start the IO thread first to make sure the checker is working. boost::thread::attributes io_thread_attrs; diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 560d808a282b..793570974982 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -20,6 +20,8 @@ #include #include +#include "ray/common/grpc_util.h" + namespace ray { namespace core { @@ -34,11 +36,13 @@ TaskStatusEvent::TaskStatusEvent( int32_t attempt_number, const rpc::TaskStatus &task_status, int64_t timestamp, + bool is_actor_task_event, const std::shared_ptr &task_spec, std::optional state_update) : TaskEvent(task_id, job_id, attempt_number), task_status_(task_status), timestamp_(timestamp), + is_actor_task_event_(is_actor_task_event), task_spec_(task_spec), state_update_(std::move(state_update)) {} @@ -78,15 +82,15 @@ void TaskStatusEvent::ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) { if (state_update_->node_id_.has_value()) { RAY_CHECK(task_status_ == rpc::TaskStatus::SUBMITTED_TO_WORKER) - << "Node ID should be included when task status changes to " - "SUBMITTED_TO_WORKER."; + << "When task status changes to SUBMITTED_TO_WORKER, the Node ID should be " + "included in the status update"; dst_state_update->set_node_id(state_update_->node_id_->Binary()); } if (state_update_->worker_id_.has_value()) { RAY_CHECK(task_status_ == rpc::TaskStatus::SUBMITTED_TO_WORKER) - << "Worker ID should be included when task status changes to " - "SUBMITTED_TO_WORKER."; + << "When task status changes to SUBMITTED_TO_WORKER, Worker ID should be " + "included in the status update"; dst_state_update->set_worker_id(state_update_->worker_id_->Binary()); } @@ -168,6 +172,143 @@ void TaskStatusEvent::ToRpcTaskExportEvents( } } +// Assuming the task_spec_ it not null +// populate the TaskDefinitionEvent or ActorTaskDefinitionEvent +template +void TaskStatusEvent::PopulateRpcRayTaskDefinitionEvent(T &definition_event_data) { + // Task identifier + definition_event_data.set_task_id(task_id_.Binary()); + definition_event_data.set_task_attempt(attempt_number_); + + // Common fields + const auto &required_resources = task_spec_->GetRequiredResources().GetResourceMap(); + definition_event_data.mutable_required_resources()->insert( + std::make_move_iterator(required_resources.begin()), + std::make_move_iterator(required_resources.end())); + definition_event_data.mutable_runtime_env_info()->CopyFrom( + task_spec_->RuntimeEnvInfo()); + definition_event_data.set_job_id(job_id_.Binary()); + definition_event_data.set_parent_task_id(task_spec_->ParentTaskId().Binary()); + definition_event_data.set_placement_group_id( + task_spec_->PlacementGroupBundleId().first.Binary()); + const auto &labels = task_spec_->GetMessage().labels(); + definition_event_data.mutable_ref_ids()->insert(labels.begin(), labels.end()); + + // Specific fields + if constexpr (std::is_same_v) { + definition_event_data.mutable_actor_func()->CopyFrom( + task_spec_->FunctionDescriptor()->GetMessage()); + definition_event_data.set_actor_id(task_spec_->ActorId().Binary()); + } else { + definition_event_data.mutable_task_func()->CopyFrom( + task_spec_->FunctionDescriptor()->GetMessage()); + definition_event_data.set_task_name(task_spec_->GetName()); + } +} + +template +void TaskStatusEvent::PopulateRpcRayTaskExecutionEvent( + T &execution_event_data, google::protobuf::Timestamp timestamp) { + // Task identifier + execution_event_data.set_task_id(task_id_.Binary()); + execution_event_data.set_task_attempt(attempt_number_); + + // Task state + auto &task_state = *execution_event_data.mutable_task_state(); + if (task_status_ != rpc::TaskStatus::NIL) { + task_state[task_status_] = timestamp; + } + + // Task property updates + if (!state_update_.has_value()) { + return; + } + + if (state_update_->error_info_.has_value()) { + execution_event_data.mutable_ray_error_info()->CopyFrom(*state_update_->error_info_); + } + + if (state_update_->node_id_.has_value()) { + RAY_CHECK(task_status_ == rpc::TaskStatus::SUBMITTED_TO_WORKER) + .WithField("TaskStatus", task_status_) + << "Node ID should be included when task status changes to " + "SUBMITTED_TO_WORKER."; + execution_event_data.set_node_id(state_update_->node_id_->Binary()); + } + + if (state_update_->worker_id_.has_value()) { + RAY_CHECK(task_status_ == rpc::TaskStatus::SUBMITTED_TO_WORKER) + .WithField("TaskStatus", task_status_) + << "Worker ID should be included when task status changes to " + "SUBMITTED_TO_WORKER."; + execution_event_data.set_worker_id(state_update_->worker_id_->Binary()); + } + + if (state_update_->pid_.has_value()) { + execution_event_data.set_worker_pid(state_update_->pid_.value()); + } +} + +void TaskStatusEvent::PopulateRpcRayEventBaseFields( + rpc::events::RayEvent &ray_event, + bool is_definition_event, + google::protobuf::Timestamp timestamp) { + ray_event.set_event_id(UniqueID::FromRandom().Binary()); + ray_event.set_source_type(rpc::events::RayEvent::CORE_WORKER); + ray_event.mutable_timestamp()->CopyFrom(timestamp); + ray_event.set_severity(rpc::events::RayEvent::INFO); + + if (is_actor_task_event_) { + if (is_definition_event) { + ray_event.set_event_type(rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT); + } else { + ray_event.set_event_type(rpc::events::RayEvent::ACTOR_TASK_EXECUTION_EVENT); + } + } else { + if (is_definition_event) { + ray_event.set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + } else { + ray_event.set_event_type(rpc::events::RayEvent::TASK_EXECUTION_EVENT); + } + } +} + +void TaskStatusEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { + auto &[task_definition_event_rpc, task_execution_event_rpc] = ray_events_pair; + + google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(timestamp_); + + // Populate the task definition event + if (task_spec_ && !task_definition_event_rpc) { + PopulateRpcRayEventBaseFields(task_definition_event_rpc.emplace(), true, timestamp); + if (is_actor_task_event_) { + auto actor_task_definition_event = + task_definition_event_rpc->mutable_actor_task_definition_event(); + PopulateRpcRayTaskDefinitionEvent(*actor_task_definition_event); + } else { + auto task_definition_event = + task_definition_event_rpc->mutable_task_definition_event(); + PopulateRpcRayTaskDefinitionEvent(*task_definition_event); + } + } + + // Populate the task execution event + PopulateRpcRayEventBaseFields(task_execution_event_rpc.has_value() + ? task_execution_event_rpc.value() + : task_execution_event_rpc.emplace(), + false, + timestamp); + if (is_actor_task_event_) { + auto actor_task_execution_event = + task_execution_event_rpc.value().mutable_actor_task_execution_event(); + PopulateRpcRayTaskExecutionEvent(*actor_task_execution_event, timestamp); + } else { + auto task_execution_event = + task_execution_event_rpc.value().mutable_task_execution_event(); + PopulateRpcRayTaskExecutionEvent(*task_execution_event, timestamp); + } +} + void TaskProfileEvent::ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) { // Rate limit on the number of profiling events from the task. This is especially the // case if a driver has many profiling events when submitting tasks @@ -205,6 +346,11 @@ void TaskProfileEvent::ToRpcTaskExportEvents( event_entry->set_extra_data(std::move(extra_data_)); } +void TaskProfileEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { + // TODO(myan): #54515 need to further figure out how to migrate the task profile event + // to the new ray event format. +} + bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( const TaskID &task_id, const JobID &job_id, @@ -226,6 +372,7 @@ bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( attempt_number, status, /* timestamp */ absl::GetCurrentTimeNanos(), + /*is_actor_task_event=*/spec.IsActorTask(), include_task_info ? std::make_shared(spec) : nullptr, std::move(state_update)); @@ -233,16 +380,23 @@ bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( return true; } -TaskEventBufferImpl::TaskEventBufferImpl(std::shared_ptr gcs_client) +TaskEventBufferImpl::TaskEventBufferImpl( + std::unique_ptr gcs_client, + std::unique_ptr event_aggregator_client) : work_guard_(boost::asio::make_work_guard(io_service_)), periodical_runner_(PeriodicalRunner::Create(io_service_)), - gcs_client_(std::move(gcs_client)) {} + gcs_client_(std::move(gcs_client)), + event_aggregator_client_(std::move(event_aggregator_client)) {} TaskEventBufferImpl::~TaskEventBufferImpl() { Stop(); } Status TaskEventBufferImpl::Start(bool auto_flush) { absl::MutexLock lock(&mutex_); export_event_write_enabled_ = TaskEventBufferImpl::IsExportAPIEnabledTask(); + send_task_events_to_gcs_enabled_ = + RayConfig::instance().enable_core_worker_task_event_to_gcs(); + send_ray_events_to_aggregator_enabled_ = + RayConfig::instance().enable_core_worker_ray_event_to_aggregator(); auto report_interval_ms = RayConfig::instance().task_events_report_interval_ms(); RAY_CHECK(report_interval_ms > 0) << "RAY_task_events_report_interval_ms should be > 0 to use TaskEventBuffer."; @@ -402,39 +556,9 @@ void TaskEventBufferImpl::GetTaskProfileEventsToSend( profile_events_to_send->size()); } -std::unique_ptr TaskEventBufferImpl::CreateDataToSend( - const std::vector> &status_events_to_send, - const std::vector> &profile_events_to_send, +std::unique_ptr TaskEventBufferImpl::CreateTaskEventDataToSend( + absl::flat_hash_map &&agg_task_events, const absl::flat_hash_set &dropped_task_attempts_to_send) { - // Aggregate the task events by TaskAttempt. - absl::flat_hash_map agg_task_events; - auto to_rpc_event_fn = [this, &agg_task_events, &dropped_task_attempts_to_send]( - const std::shared_ptr &event) { - if (dropped_task_attempts_to_send.contains(event->GetTaskAttempt())) { - // We are marking this as data loss due to some missing task status updates. - // We will not send this event to GCS. - stats_counter_.Increment( - TaskEventBufferCounter::kNumTaskStatusEventDroppedSinceLastFlush); - return; - } - - if (!agg_task_events.contains(event->GetTaskAttempt())) { - auto inserted = - agg_task_events.insert({event->GetTaskAttempt(), rpc::TaskEvents()}); - RAY_CHECK(inserted.second); - } - - auto itr = agg_task_events.find(event->GetTaskAttempt()); - - event->ToRpcTaskEvents(&(itr->second)); - }; - - std::for_each( - status_events_to_send.begin(), status_events_to_send.end(), to_rpc_event_fn); - std::for_each( - profile_events_to_send.begin(), profile_events_to_send.end(), to_rpc_event_fn); - - // Convert to rpc::TaskEventsData auto data = std::make_unique(); for (auto &[_task_attempt, task_event] : agg_task_events) { auto events_by_task = data->add_events_by_task(); @@ -452,10 +576,95 @@ std::unique_ptr TaskEventBufferImpl::CreateDataToSend( TaskEventBufferCounter::kNumTaskProfileEventDroppedSinceLastFlush); data->set_num_profile_events_dropped(num_profile_events_dropped); + return data; +} + +std::unique_ptr +TaskEventBufferImpl::CreateRayEventsDataToSend( + absl::flat_hash_map &&agg_task_events, + const absl::flat_hash_set &dropped_task_attempts_to_send) { + auto data = std::make_unique(); + // Move the ray events. + for (auto &[task_attempt, ray_events_pair] : agg_task_events) { + auto &[task_definition_event_rpc, task_execution_event_rpc] = ray_events_pair; + if (task_definition_event_rpc) { + auto events = data->add_events(); + *events = std::move(task_definition_event_rpc.value()); + } + if (task_execution_event_rpc) { + auto events = data->add_events(); + *events = std::move(task_execution_event_rpc.value()); + } + } + // Add the data loss info. + rpc::events::TaskEventsMetadata *metadata = data->mutable_task_events_metadata(); + for (auto &task_attempt : dropped_task_attempts_to_send) { + rpc::TaskAttempt rpc_task_attempt; + rpc_task_attempt.set_task_id(task_attempt.first.Binary()); + rpc_task_attempt.set_attempt_number(task_attempt.second); + *(metadata->add_dropped_task_attempts()) = std::move(rpc_task_attempt); + } return data; } +TaskEventBuffer::TaskEventDataToSend TaskEventBufferImpl::CreateDataToSend( + const std::vector> &status_events_to_send, + const std::vector> &profile_events_to_send, + const absl::flat_hash_set &dropped_task_attempts_to_send) { + // Aggregate the task events by TaskAttempt. + absl::flat_hash_map agg_task_events; + // (task_attempt, (task_definition_event, task_execution_events)) + absl::flat_hash_map agg_ray_events; + + auto to_rpc_event_fn = + [this, &agg_task_events, &agg_ray_events, &dropped_task_attempts_to_send]( + const std::shared_ptr &event) { + if (dropped_task_attempts_to_send.contains(event->GetTaskAttempt())) { + // We are marking this as data loss due to some missing task status updates. + // We will not send this event to GCS. + this->stats_counter_.Increment( + TaskEventBufferCounter::kNumTaskStatusEventDroppedSinceLastFlush); + return; + } + + if (send_task_events_to_gcs_enabled_) { + auto [itr_task_events, _] = + agg_task_events.try_emplace(event->GetTaskAttempt()); + event->ToRpcTaskEvents(&(itr_task_events->second)); + } + + if (send_ray_events_to_aggregator_enabled_) { + auto [itr_ray_events, _] = agg_ray_events.try_emplace(event->GetTaskAttempt()); + event->ToRpcRayEvents(itr_ray_events->second); + } + }; + + std::for_each( + status_events_to_send.begin(), status_events_to_send.end(), to_rpc_event_fn); + std::for_each( + profile_events_to_send.begin(), profile_events_to_send.end(), to_rpc_event_fn); + + // Create the data to send. + TaskEventDataToSend data_to_send; + + // Convert to rpc::TaskEventsData + if (send_task_events_to_gcs_enabled_) { + auto task_event_data = CreateTaskEventDataToSend(std::move(agg_task_events), + dropped_task_attempts_to_send); + data_to_send.task_event_data = std::move(task_event_data); + } + + // Convert to rpc::events::RayEventsData + if (send_ray_events_to_aggregator_enabled_) { + auto ray_events_data = CreateRayEventsDataToSend(std::move(agg_ray_events), + dropped_task_attempts_to_send); + data_to_send.ray_events_data = std::move(ray_events_data); + } + + return data_to_send; +} + void TaskEventBufferImpl::WriteExportData( const std::vector> &status_events_to_write_for_export, const std::vector> &profile_events_to_send) { @@ -495,17 +704,108 @@ void TaskEventBufferImpl::WriteExportData( } } +void TaskEventBufferImpl::SendTaskEventsToGCS(std::unique_ptr data) { + gcs::TaskInfoAccessor *task_accessor = nullptr; + { + // Sending the protobuf to GCS. + absl::MutexLock lock(&mutex_); + // The flag should be unset when on_complete is invoked. + task_accessor = &gcs_client_->Tasks(); + } + + gcs_grpc_in_progress_ = true; + auto num_task_attempts_to_send = data->events_by_task_size(); + auto num_dropped_task_attempts_to_send = data->dropped_task_attempts_size(); + auto num_bytes_to_send = data->ByteSizeLong(); + + auto on_complete = [this, + num_task_attempts_to_send, + num_dropped_task_attempts_to_send, + num_bytes_to_send](const Status &status) { + if (!status.ok()) { + RAY_LOG(WARNING) << "Failed to push task events of " << num_task_attempts_to_send + << " tasks attempts, and report " + << num_dropped_task_attempts_to_send + << " task attempts lost on worker to GCS." + << "[status=" << status << "]"; + + this->stats_counter_.Increment(TaskEventBufferCounter::kTotalNumFailedToReport); + } else { + this->stats_counter_.Increment(kTotalNumTaskAttemptsReported, + num_task_attempts_to_send); + this->stats_counter_.Increment(kTotalNumLostTaskAttemptsReported, + num_dropped_task_attempts_to_send); + this->stats_counter_.Increment(kTotalTaskEventsBytesReported, num_bytes_to_send); + } + gcs_grpc_in_progress_ = false; + }; + task_accessor->AsyncAddTaskEventData(std::move(data), on_complete); +} + +void TaskEventBufferImpl::SendRayEventsToAggregator( + std::unique_ptr data) { + event_aggregator_grpc_in_progress_ = true; + auto num_task_attempts_to_send = data->events_size(); + auto num_dropped_task_attempts_to_send = + data->task_events_metadata().dropped_task_attempts_size(); + + // TODO(myan) #54515: To improve observability of the pipeline, we should track the + // number of events failed on the aggregator side due to grpc failure & unknown errors + // separately. + auto on_complete = [this, num_task_attempts_to_send, num_dropped_task_attempts_to_send]( + const Status &status, const rpc::events::AddEventsReply &reply) { + auto add_events_status = reply.status(); + auto add_events_status_code = add_events_status.code(); + auto add_events_status_message = add_events_status.message(); + if (!status.ok() || add_events_status_code != 0) { + // The event aggregator failed to add events due to unknown errors or exiting + // events are dropped due to event buffer is full. + std::stringstream error_info; + error_info << "[grpc_status=" << status; + if (add_events_status_code != 0) { + error_info << ", add_events_status=" << add_events_status_code + << ", add_events_status_message=" << add_events_status_message; + } + error_info << "]"; + + RAY_LOG(WARNING) << "Failed to send task events of " << num_task_attempts_to_send + << " tasks attempts, and report " + << num_dropped_task_attempts_to_send + << " task attempts lost on worker to the event aggregator." + << error_info.str(); + this->stats_counter_.Increment( + TaskEventBufferCounter::kTotalNumFailedToReportToAggregator); + } else { + this->stats_counter_.Increment(kTotalNumTaskAttemptsReportedToAggregator, + num_task_attempts_to_send); + this->stats_counter_.Increment(kTotalNumLostTaskAttemptsReportedToAggregator, + num_dropped_task_attempts_to_send); + } + event_aggregator_grpc_in_progress_ = false; + }; + + rpc::events::AddEventsRequest request; + *request.mutable_events_data() = std::move(*data); + event_aggregator_client_->AddEvents(request, on_complete); +} + void TaskEventBufferImpl::FlushEvents(bool forced) { if (!enabled_) { return; } - // Skip if GCS hasn't finished processing the previous message. - if (grpc_in_progress_ && !forced) { + // Skip if GCS or the event aggregator hasn't finished processing the previous + // message. Here we don't keep different cursors for GCS and the event aggregator + // because in most cases, the GCS and the event aggregator will not be enabled at the + // same time. + if ((gcs_grpc_in_progress_ || event_aggregator_grpc_in_progress_) && !forced) { RAY_LOG_EVERY_N_OR_DEBUG(WARNING, 100) - << "GCS hasn't replied to the previous flush events call (likely " - "overloaded). " + << "GCS or the event aggregator hasn't replied to the previous flush events " + "call (likely overloaded). " "Skipping reporting task state events and retry later." + << "[gcs_grpc_in_progress=" << gcs_grpc_in_progress_ << "]" + << "[event_aggregator_grpc_in_progress=" << event_aggregator_grpc_in_progress_ + << "]" << "[cur_status_events_size=" << stats_counter_.Get(TaskEventBufferCounter::kNumTaskStatusEventsStored) << "][cur_profile_events_size=" @@ -528,47 +828,20 @@ void TaskEventBufferImpl::FlushEvents(bool forced) { GetTaskProfileEventsToSend(&profile_events_to_send); // Aggregate and prepare the data to send. - std::unique_ptr data = CreateDataToSend( + TaskEventBuffer::TaskEventDataToSend data = CreateDataToSend( status_events_to_send, profile_events_to_send, dropped_task_attempts_to_send); + + ResetCountersForFlush(); + if (export_event_write_enabled_) { WriteExportData(status_events_to_write_for_export, profile_events_to_send); } - - gcs::TaskInfoAccessor *task_accessor = nullptr; - { - // Sending the protobuf to GCS. - absl::MutexLock lock(&mutex_); - // The flag should be unset when on_complete is invoked. - task_accessor = &gcs_client_->Tasks(); + if (send_task_events_to_gcs_enabled_) { + SendTaskEventsToGCS(std::move(data.task_event_data)); + } + if (send_ray_events_to_aggregator_enabled_) { + SendRayEventsToAggregator(std::move(data.ray_events_data)); } - - grpc_in_progress_ = true; - auto num_task_attempts_to_send = data->events_by_task_size(); - auto num_dropped_task_attempts_to_send = data->dropped_task_attempts_size(); - auto num_bytes_to_send = data->ByteSizeLong(); - ResetCountersForFlush(); - - auto on_complete = [this, - num_task_attempts_to_send, - num_dropped_task_attempts_to_send, - num_bytes_to_send](const Status &status) { - if (!status.ok()) { - RAY_LOG(WARNING) << "Failed to push task events of " << num_task_attempts_to_send - << " tasks attempts, and report " - << num_dropped_task_attempts_to_send - << " task attempts lost on worker to GCS." - << "[status=" << status << "]"; - - stats_counter_.Increment(TaskEventBufferCounter::kTotalNumFailedToReport); - } else { - stats_counter_.Increment(kTotalNumTaskAttemptsReported, num_task_attempts_to_send); - stats_counter_.Increment(kTotalNumLostTaskAttemptsReported, - num_dropped_task_attempts_to_send); - stats_counter_.Increment(kTotalTaskEventsBytesReported, num_bytes_to_send); - } - grpc_in_progress_ = false; - }; - task_accessor->AsyncAddTaskEventData(std::move(data), on_complete); } void TaskEventBufferImpl::ResetCountersForFlush() { @@ -705,7 +978,8 @@ std::string TaskEventBufferImpl::DebugString() { ss << "\nIO Service Stats:\n"; ss << io_service_.stats().StatsString(); ss << "\nOther Stats:" - << "\n\tgrpc_in_progress:" << grpc_in_progress_ + << "\n\tgcs_grpc_in_progress:" << gcs_grpc_in_progress_ + << "\n\tevent_aggregator_grpc_in_progress:" << event_aggregator_grpc_in_progress_ << "\n\tcurrent number of task status events in buffer: " << stats[TaskEventBufferCounter::kNumTaskStatusEventsStored] << "\n\tcurrent number of profile events in buffer: " diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 4ce8410775df..e30b33b815b8 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -29,6 +29,7 @@ #include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/pb_util.h" +#include "ray/rpc/event_aggregator_client.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" #include "src/ray/protobuf/export_task_event.pb.h" @@ -40,12 +41,24 @@ namespace core { namespace worker { using TaskAttempt = std::pair; +/// A pair of rpc::events::RayEvent. +/// When converting the TaskStatusEvent, the pair will be populated with the +/// rpc::events::TaskDefinitionEvent and rpc::events::TaskExecutionEvent respectively. +using RayEventsPair = + std::pair, std::optional>; -/// A wrapper class that will be converted to rpc::TaskEvents +/// A wrapper class that will be converted to protobuf task events representation. +/// +/// This will be created by CoreWorker and stored in TaskEventBuffer. +/// +/// Currently there are 3 paths to send task events: +/// 1. Flushing to GCS (will be deprecated): the flush to GCS will be periodic and it +/// will be converted to rpc::TaskEvents. +/// 2. Flushing to the event aggregator: the flush to the event aggregator will be +/// periodic and it will be converted to rpc::events::RayEventsData. +/// 3. Export API (will be deprecated #54515): Periodically flush to the file system. When +/// flushing, it will be converted to rpc::ExportTaskEventData. /// -/// This will be created by CoreWorker and stored in TaskEventBuffer, and -/// when it is being flushed periodically to GCS, it will be converted to -/// rpc::TaskEvents. /// This is an optimization so that converting to protobuf (which is costly) /// will not happen in the critical path of task execution/submission. class TaskEvent { @@ -57,8 +70,6 @@ class TaskEvent { /// Convert itself a rpc::TaskEvents /// - /// NOTE: this method will modify internal states by moving fields to the - /// rpc::TaskEvents. /// \param[out] rpc_task_events The rpc task event to be filled. virtual void ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) = 0; @@ -68,6 +79,11 @@ class TaskEvent { virtual void ToRpcTaskExportEvents( std::shared_ptr rpc_task_export_event_data) = 0; + /// Convert itself to a pair of RayEvent. + /// + /// \param[out] ray_events The pair of rpc::events::RayEvent + virtual void ToRpcRayEvents(RayEventsPair &ray_events) = 0; + /// If it is a profile event. virtual bool IsProfileEvent() const = 0; @@ -133,6 +149,7 @@ class TaskStatusEvent : public TaskEvent { int32_t attempt_number, const rpc::TaskStatus &task_status, int64_t timestamp, + bool is_actor_task_event, const std::shared_ptr &task_spec = nullptr, std::optional state_update = std::nullopt); @@ -141,13 +158,46 @@ class TaskStatusEvent : public TaskEvent { void ToRpcTaskExportEvents( std::shared_ptr rpc_task_export_event_data) override; + /// The function to convert the TaskStatusEvent class to a pair of + /// rpc::events::RayEvent with rpc::events::TaskDefinitionEvent and + /// rpc::events::TaskExecutionEvent respectively. The TaskExecutionEvent will always + /// be populated. The TaskDefinitionEvent will be populated only when the task_spec_ + /// is not null. + /// NOTE: this method will modify internal states by moving fields of task_spec_ to + /// the rpc::events::RayEvent. + /// + /// \param[out] ray_events The pair of rpc::events::RayEvent protobuf messages to be + /// filled. + void ToRpcRayEvents(RayEventsPair &ray_events) override; + bool IsProfileEvent() const override { return false; } private: + // Helper functions to populate the task definition event of rpc::events::RayEvent + // This function assumes task_spec_ is not null. + // This function also checks T must be one of rpc::events::ActorTaskDefinitionEvent or + // rpc::events::TaskDefinitionEvent + template + void PopulateRpcRayTaskDefinitionEvent(T &definition_event_data); + + // Helper functions to populate the task execution event of rpc::events::RayEvent + // This function checks T must be one of rpc::events::ActorTaskExecutionEvent or + // rpc::events::TaskExecutionEvent + template + void PopulateRpcRayTaskExecutionEvent(T &execution_event_data, + google::protobuf::Timestamp timestamp); + + // Helper functions to populate the base fields of rpc::events::RayEvent + void PopulateRpcRayEventBaseFields(rpc::events::RayEvent &ray_event, + bool is_definition_event, + google::protobuf::Timestamp timestamp); + /// The task status change if it's a status change event. rpc::TaskStatus task_status_ = rpc::TaskStatus::NIL; /// The time when the task status change happens. int64_t timestamp_ = -1; + /// Whether the task is an actor task. + bool is_actor_task_event_ = false; /// Pointer to the task spec. std::shared_ptr task_spec_ = nullptr; /// Optional task state update @@ -171,6 +221,8 @@ class TaskProfileEvent : public TaskEvent { void ToRpcTaskExportEvents( std::shared_ptr rpc_task_export_event_data) override; + void ToRpcRayEvents(RayEventsPair &ray_events) override; + bool IsProfileEvent() const override { return true; } void SetEndTime(int64_t end_time) { end_time_ = end_time; } @@ -199,13 +251,16 @@ enum TaskEventBufferCounter { kTotalNumTaskProfileEventDropped, kTotalNumTaskStatusEventDropped, kTotalNumTaskAttemptsReported, + kTotalNumTaskAttemptsReportedToAggregator, kTotalNumLostTaskAttemptsReported, + kTotalNumLostTaskAttemptsReportedToAggregator, kTotalTaskEventsBytesReported, kTotalNumFailedToReport, + kTotalNumFailedToReportToAggregator, }; /// An interface for a buffer that stores task status changes and profiling events, -/// and reporting these events to the GCS periodically. +/// and reporting these events to the GCS and/or the event aggregator periodically. /// /// Dropping of task events /// ======================== @@ -224,6 +279,12 @@ enum TaskEventBufferCounter { /// GCS will be delayed until GCS replies the gRPC in future intervals. class TaskEventBuffer { public: + struct TaskEventDataToSend { + std::unique_ptr task_event_data; + std::unique_ptr ray_events_data; + }; + + /// Update task status change for the task attempt in TaskEventBuffer if needed. virtual ~TaskEventBuffer() = default; /// Update task status change for the task attempt in TaskEventBuffer if needed. @@ -302,7 +363,10 @@ class TaskEventBufferImpl : public TaskEventBuffer { /// Constructor /// /// \param gcs_client GCS client - explicit TaskEventBufferImpl(std::shared_ptr gcs_client); + /// \param event_aggregator_client Event aggregator client + explicit TaskEventBufferImpl( + std::unique_ptr gcs_client, + std::unique_ptr event_aggregator_client); TaskEventBufferImpl(const TaskEventBufferImpl &) = delete; TaskEventBufferImpl &operator=(const TaskEventBufferImpl &) = delete; @@ -357,14 +421,37 @@ class TaskEventBufferImpl : public TaskEventBuffer { std::vector> *profile_events_to_send) ABSL_LOCKS_EXCLUDED(profile_mutex_); + /// Create the task event data to send. + /// + /// \param agg_task_events The aggregated task events. + /// \param dropped_task_attempts_to_send The task attempts that were dropped due to + /// status events being dropped. + /// \return data The task event data to be sent. + std::unique_ptr CreateTaskEventDataToSend( + absl::flat_hash_map &&agg_task_events, + const absl::flat_hash_set &dropped_task_attempts_to_send); + + /// Create the ray event data to send. + /// + /// \param agg_task_events The aggregated task events. + /// \param dropped_task_attempts_to_send The task attempts that were dropped due to + /// status events being dropped. + /// \return data The ray event data to be sent. + std::unique_ptr CreateRayEventsDataToSend( + absl::flat_hash_map &&agg_task_events, + const absl::flat_hash_set &dropped_task_attempts_to_send); + + /// Reset the metrics counters for flush. + void ResetCountersForFlush(); + /// Get the task events to GCS. /// /// \param status_events_to_send Task status events to be sent. /// \param profile_events_to_send Task profile events to be sent. /// \param dropped_task_attempts_to_send Task attempts that were dropped due to /// status events being dropped. - /// \return A unique_ptr to rpc::TaskEvents to be sent to GCS. - std::unique_ptr CreateDataToSend( + /// \return TaskEventDataToSend to be sent to GCS and the event aggregator. + TaskEventDataToSend CreateDataToSend( const std::vector> &status_events_to_send, const std::vector> &profile_events_to_send, const absl::flat_hash_set &dropped_task_attempts_to_send); @@ -388,8 +475,18 @@ class TaskEventBufferImpl : public TaskEventBuffer { ::RayConfig::instance().enable_export_api_write_config()); } - /// Reset the counters during flushing data to GCS. - void ResetCountersForFlush(); + /// Send task events to GCS. + /// + /// \param data The task event data to be sent. + void SendTaskEventsToGCS(std::unique_ptr data); + + /// Send ray events to the event aggregator. + /// + /// \param data The ray event data to be sent. + void SendRayEventsToAggregator(std::unique_ptr data); + + /// Reset the task event counters during flushing data. + void ResetTaskEventCountersForFlush(); /// Test only functions. size_t GetNumTaskEventsStored() { @@ -397,33 +494,6 @@ class TaskEventBufferImpl : public TaskEventBuffer { stats_counter_.Get(TaskEventBufferCounter::kNumTaskProfileEventsStored); } - /// Test only functions. - size_t GetTotalNumStatusTaskEventsDropped() { - return stats_counter_.Get(TaskEventBufferCounter::kTotalNumTaskStatusEventDropped); - } - - /// Test only functions. - size_t GetNumStatusTaskEventsDroppedSinceLastFlush() { - return stats_counter_.Get( - TaskEventBufferCounter::kNumTaskStatusEventDroppedSinceLastFlush); - } - - /// Test only functions. - size_t GetTotalNumProfileTaskEventsDropped() { - return stats_counter_.Get(TaskEventBufferCounter::kTotalNumTaskProfileEventDropped); - } - - /// Test only functions. - size_t GetNumProfileTaskEventsDroppedSinceLastFlush() { - return stats_counter_.Get( - TaskEventBufferCounter::kNumTaskProfileEventDroppedSinceLastFlush); - } - - /// Test only functions. - size_t GetNumFailedToReport() { - return stats_counter_.Get(TaskEventBufferCounter::kTotalNumFailedToReport); - } - /// Test only functions. gcs::GcsClient *GetGcsClient() { absl::MutexLock lock(&mutex_); @@ -449,7 +519,10 @@ class TaskEventBufferImpl : public TaskEventBuffer { std::shared_ptr periodical_runner_; /// Client to the GCS used to push profile events to it. - std::shared_ptr gcs_client_ ABSL_GUARDED_BY(mutex_); + std::unique_ptr gcs_client_ ABSL_GUARDED_BY(mutex_); + + /// Client to the event aggregator used to push ray events to it. + std::unique_ptr event_aggregator_client_; /// True if the TaskEventBuffer is enabled. std::atomic enabled_ = false; @@ -478,19 +551,29 @@ class TaskEventBufferImpl : public TaskEventBuffer { /// True if there's a pending gRPC call. It's a simple way to prevent overloading /// GCS with too many calls. There is no point sending more events if GCS could not /// process them quick enough. - std::atomic grpc_in_progress_ = false; + std::atomic gcs_grpc_in_progress_ = false; + + /// True if there's a pending gRPC call to the event aggregator. + std::atomic event_aggregator_grpc_in_progress_ = false; /// If true, task events are exported for Export API bool export_event_write_enabled_ = false; + /// If true, task events from the event buffer are sent to GCS + bool send_task_events_to_gcs_enabled_ = true; + + /// If true, ray events from the event buffer are sent to the event aggregator + bool send_ray_events_to_aggregator_enabled_ = false; + FRIEND_TEST(TaskEventBufferTestManualStart, TestGcsClientFail); - FRIEND_TEST(TaskEventBufferTestBatchSend, TestBatchedSend); - FRIEND_TEST(TaskEventBufferTest, TestAddEvent); - FRIEND_TEST(TaskEventBufferTest, TestFlushEvents); - FRIEND_TEST(TaskEventBufferTest, TestFailedFlush); - FRIEND_TEST(TaskEventBufferTest, TestBackPressure); - FRIEND_TEST(TaskEventBufferTest, TestForcedFlush); - FRIEND_TEST(TaskEventBufferTestLimitBuffer, TestBufferSizeLimitStatusEvents); + FRIEND_TEST(TaskEventBufferTestBatchSendDifferentDestination, TestBatchedSend); + FRIEND_TEST(TaskEventBufferTest, TestAddEvents); + FRIEND_TEST(TaskEventBufferTestDifferentDestination, TestFlushEvents); + FRIEND_TEST(TaskEventBufferTestDifferentDestination, TestFailedFlush); + FRIEND_TEST(TaskEventBufferTestDifferentDestination, TestBackPressure); + FRIEND_TEST(TaskEventBufferTestDifferentDestination, TestForcedFlush); + FRIEND_TEST(TaskEventBufferTestLimitBufferDifferentDestination, + TestBufferSizeLimitStatusEvents); FRIEND_TEST(TaskEventBufferTestLimitProfileEvents, TestBufferSizeLimitProfileEvents); FRIEND_TEST(TaskEventBufferTestLimitProfileEvents, TestLimitProfileEventsPerTask); FRIEND_TEST(TaskEventTestWriteExport, TestWriteTaskExportEvents); diff --git a/src/ray/core_worker/test/task_event_buffer_export_event_test.cc b/src/ray/core_worker/test/task_event_buffer_export_event_test.cc index f3869be7ffb5..e3f76d3a1e83 100644 --- a/src/ray/core_worker/test/task_event_buffer_export_event_test.cc +++ b/src/ray/core_worker/test/task_event_buffer_export_event_test.cc @@ -42,6 +42,15 @@ namespace core { namespace worker { +class MockEventAggregatorClient : public ray::rpc::EventAggregatorClient { + public: + MOCK_METHOD(void, + AddEvents, + (const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback), + (override)); +}; + class TaskEventTestWriteExport : public ::testing::Test { public: TaskEventTestWriteExport() { @@ -59,7 +68,8 @@ class TaskEventTestWriteExport : public ::testing::Test { )"); task_event_buffer_ = std::make_unique( - std::make_unique()); + std::make_unique(), + std::make_unique()); } virtual void SetUp() { RAY_CHECK_OK(task_event_buffer_->Start(/*auto_flush*/ false)); } @@ -88,6 +98,7 @@ class TaskEventTestWriteExport : public ::testing::Test { attempt_num, rpc::TaskStatus::RUNNING, running_ts, + /*is_actor_task_event=*/false, nullptr, state_update); } diff --git a/src/ray/core_worker/test/task_event_buffer_test.cc b/src/ray/core_worker/test/task_event_buffer_test.cc index 9631477ae10e..bbbb5b922ac9 100644 --- a/src/ray/core_worker/test/task_event_buffer_test.cc +++ b/src/ray/core_worker/test/task_event_buffer_test.cc @@ -21,6 +21,8 @@ #include #include #include +#include +#include #include #include @@ -31,10 +33,14 @@ #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "ray/common/task/task_spec.h" +#include "ray/common/task/task_util.h" #include "ray/common/test_util.h" #include "ray/util/event.h" using ::testing::_; +using ::testing::DoAll; +using ::testing::Invoke; +using ::testing::MakeAction; using ::testing::Return; namespace ray { @@ -43,6 +49,34 @@ namespace core { namespace worker { +class MockEventAggregatorClient : public ray::rpc::EventAggregatorClient { + public: + MOCK_METHOD(void, + AddEvents, + (const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback), + (override)); +}; + +class MockEventAggregatorAddEvents + : public ::testing::ActionInterface &callback)> { + public: + MockEventAggregatorAddEvents(Status status, rpc::events::AddEventsReply reply) + : status_(std::move(status)), reply_(std::move(reply)) {} + + void Perform(const std::tuple &> + &args) override { + std::get<1>(args)(status_, std::move(reply_)); + } + + private: + Status status_; + rpc::events::AddEventsReply reply_; +}; + class TaskEventBufferTest : public ::testing::Test { public: TaskEventBufferTest() { @@ -56,7 +90,8 @@ class TaskEventBufferTest : public ::testing::Test { )"); task_event_buffer_ = std::make_unique( - std::make_unique()); + std::make_unique(), + std::make_unique()); } virtual void SetUp() { RAY_CHECK_OK(task_event_buffer_->Start(/*auto_flush*/ false)); } @@ -73,6 +108,58 @@ class TaskEventBufferTest : public ::testing::Test { return task_ids; } + TaskSpecification BuildTaskSpec(TaskID task_id, int32_t attempt_num) { + TaskSpecBuilder builder; + rpc::Address empty_address; + rpc::JobConfig config; + std::unordered_map resources = {{"CPU", 1}}; + std::unordered_map labels = {{"label1", "value1"}}; + builder.SetCommonTaskSpec(task_id, + "dummy_task", + Language::PYTHON, + FunctionDescriptorBuilder::BuildPython( + "dummy_module", "dummy_class", "dummy_function", ""), + JobID::Nil(), + config, + TaskID::Nil(), + 0, + TaskID::Nil(), + empty_address, + 1, + false, + false, + -1, + resources, + resources, + "", + 0, + TaskID::Nil(), + "", + std::make_shared(), + "", + true, + labels); + return std::move(builder).ConsumeAndBuild(); + } + + std::unique_ptr GenFullStatusTaskEvent(TaskID task_id, int32_t attempt_num) { + // Generate a task spec + auto task_spec = BuildTaskSpec(task_id, attempt_num); + + // Generate a status update + auto status_update = TaskStatusEvent::TaskStateUpdate(123u); + + return std::make_unique( + task_id, + JobID::FromInt(0), + attempt_num, + rpc::TaskStatus::RUNNING, + 1, + /*is_actor_task_event=*/false, + std::make_shared(task_spec), + status_update); + } + std::unique_ptr GenStatusTaskEvent( TaskID task_id, int32_t attempt_num, @@ -84,6 +171,7 @@ class TaskEventBufferTest : public ::testing::Test { attempt_num, rpc::TaskStatus::RUNNING, running_ts, + /*is_actor_task_event=*/false, nullptr, state_update); } @@ -132,38 +220,101 @@ class TaskEventBufferTest : public ::testing::Test { } } + static void CompareRayEventsData(const rpc::events::RayEventsData &actual_data, + const rpc::events::RayEventsData &expect_data) { + // Sort and compare + std::vector actual_events; + std::vector expect_events; + for (const auto &e : actual_data.events()) { + auto event_copy = e; + event_copy.set_event_id(UniqueID::Nil().Binary()); + actual_events.push_back(event_copy.DebugString()); + } + for (const auto &e : expect_data.events()) { + auto event_copy = e; + event_copy.set_event_id(UniqueID::Nil().Binary()); + expect_events.push_back(event_copy.DebugString()); + } + std::sort(actual_events.begin(), actual_events.end()); + std::sort(expect_events.begin(), expect_events.end()); + EXPECT_EQ(actual_events.size(), expect_events.size()); + for (size_t i = 0; i < actual_events.size(); ++i) { + EXPECT_EQ(actual_events[i], expect_events[i]); + } + + std::vector actual_dropped_task_attempts; + std::vector expect_dropped_task_attempts; + + for (const auto &t : actual_data.task_events_metadata().dropped_task_attempts()) { + actual_dropped_task_attempts.push_back(t.DebugString()); + } + for (const auto &t : expect_data.task_events_metadata().dropped_task_attempts()) { + expect_dropped_task_attempts.push_back(t.DebugString()); + } + std::sort(actual_dropped_task_attempts.begin(), actual_dropped_task_attempts.end()); + std::sort(expect_dropped_task_attempts.begin(), expect_dropped_task_attempts.end()); + EXPECT_EQ(actual_dropped_task_attempts.size(), expect_dropped_task_attempts.size()); + + for (size_t i = 0; i < actual_dropped_task_attempts.size(); ++i) { + EXPECT_EQ(actual_dropped_task_attempts[i], expect_dropped_task_attempts[i]); + } + } + std::unique_ptr task_event_buffer_ = nullptr; }; +struct DifferentDestination { + bool to_gcs; + bool to_aggregator; +}; + class TaskEventBufferTestManualStart : public TaskEventBufferTest { void SetUp() override {} }; -class TaskEventBufferTestBatchSend : public TaskEventBufferTest { +class TaskEventBufferTestBatchSendDifferentDestination + : public TaskEventBufferTest, + public ::testing::WithParamInterface { public: - TaskEventBufferTestBatchSend() : TaskEventBufferTest() { + TaskEventBufferTestBatchSendDifferentDestination() : TaskEventBufferTest() { + const auto [to_gcs, to_aggregator] = GetParam(); + std::string to_gcs_str = to_gcs ? "true" : "false"; + std::string to_aggregator_str = to_aggregator ? "true" : "false"; RayConfig::instance().initialize( R"( { "task_events_report_interval_ms": 1000, "task_events_max_num_status_events_buffer_on_worker": 100, "task_events_max_num_profile_events_buffer_on_worker": 100, - "task_events_send_batch_size": 10 + "task_events_send_batch_size": 10, + "enable_core_worker_task_event_to_gcs": )" + + to_gcs_str + R"(, + "enable_core_worker_ray_event_to_aggregator": )" + + to_aggregator_str + R"( } )"); } }; -class TaskEventBufferTestLimitBuffer : public TaskEventBufferTest { +class TaskEventBufferTestLimitBufferDifferentDestination + : public TaskEventBufferTest, + public ::testing::WithParamInterface { public: - TaskEventBufferTestLimitBuffer() : TaskEventBufferTest() { + TaskEventBufferTestLimitBufferDifferentDestination() : TaskEventBufferTest() { + const auto [to_gcs, to_aggregator] = GetParam(); + std::string to_gcs_str = to_gcs ? "true" : "false"; + std::string to_aggregator_str = to_aggregator ? "true" : "false"; RayConfig::instance().initialize( R"( { "task_events_report_interval_ms": 1000, "task_events_max_num_status_events_buffer_on_worker": 10, "task_events_max_num_profile_events_buffer_on_worker": 5, - "task_events_send_batch_size": 10 + "task_events_send_batch_size": 10, + "enable_core_worker_task_event_to_gcs": )" + + to_gcs_str + R"(, + "enable_core_worker_ray_event_to_aggregator": )" + + to_aggregator_str + R"( } )"); } @@ -183,6 +334,29 @@ class TaskEventBufferTestLimitProfileEvents : public TaskEventBufferTest { } }; +class TaskEventBufferTestDifferentDestination + : public TaskEventBufferTest, + public ::testing::WithParamInterface { + public: + TaskEventBufferTestDifferentDestination() : TaskEventBufferTest() { + const auto [to_gcs, to_aggregator] = GetParam(); + std::string to_gcs_str = to_gcs ? "true" : "false"; + std::string to_aggregator_str = to_aggregator ? "true" : "false"; + RayConfig::instance().initialize( + R"( +{ + "task_events_report_interval_ms": 1000, + "task_events_max_num_status_events_buffer_on_worker": 100, + "task_events_send_batch_size": 100, + "enable_core_worker_task_event_to_gcs": )" + + to_gcs_str + R"(, + "enable_core_worker_ray_event_to_aggregator": )" + + to_aggregator_str + R"( +} + )"); + } +}; + void ReadContentFromFile(std::vector &vc, std::string log_file, std::string filter = "") { @@ -217,7 +391,7 @@ TEST_F(TaskEventBufferTestManualStart, TestGcsClientFail) { ASSERT_FALSE(task_event_buffer_->Enabled()); } -TEST_F(TaskEventBufferTest, TestAddEvent) { +TEST_F(TaskEventBufferTest, TestAddEvents) { ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); // Test add status event @@ -231,21 +405,35 @@ TEST_F(TaskEventBufferTest, TestAddEvent) { ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 2); } -TEST_F(TaskEventBufferTest, TestFlushEvents) { +TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_events = 20; auto task_ids = GenTaskIDs(num_events); std::vector> task_events; for (const auto &task_id : task_ids) { - task_events.push_back(GenStatusTaskEvent(task_id, 0)); + task_events.push_back(GenFullStatusTaskEvent(task_id, 0)); } - // Expect data flushed match - rpc::TaskEventData expected_data; - expected_data.set_num_profile_events_dropped(0); + // Expect data flushed match. Generate expected data + rpc::TaskEventData expected_task_event_data; + rpc::events::RayEventsData expected_ray_events_data; + expected_task_event_data.set_num_profile_events_dropped(0); for (const auto &task_event : task_events) { - auto event = expected_data.add_events_by_task(); + auto event = expected_task_event_data.add_events_by_task(); task_event->ToRpcTaskEvents(event); + + RayEventsPair ray_events_pair; + task_event->ToRpcRayEvents(ray_events_pair); + auto [task_definition_event, task_execution_event] = ray_events_pair; + if (task_definition_event) { + auto event = expected_ray_events_data.add_events(); + *event = std::move(task_definition_event.value()); + } + if (task_execution_event) { + auto event = expected_ray_events_data.add_events(); + *event = std::move(task_execution_event.value()); + } } for (auto &task_event : task_events) { @@ -258,13 +446,37 @@ TEST_F(TaskEventBufferTest, TestFlushEvents) { auto task_gcs_accessor = static_cast(task_event_buffer_->GetGcsClient()) ->mock_task_accessor; + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)) + .WillOnce([&](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + CompareTaskEventData(*actual_data, expected_task_event_data); + return Status::OK(); + }); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)).Times(0); + } - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)) - .WillOnce([&](std::unique_ptr actual_data, - ray::gcs::StatusCallback callback) { - CompareTaskEventData(*actual_data, expected_data); - return Status::OK(); - }); + // If ray events to aggregator is enabled, expect to call AddEvents grpc. + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + rpc::events::AddEventsRequest add_events_request; + if (to_aggregator) { + rpc::events::AddEventsReply reply; + reply.mutable_status()->set_code(/*OK*/ 0); + reply.mutable_status()->set_message("All events received"); + Status status = Status::OK(); + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) + .WillOnce(DoAll( + Invoke([&](const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback) { + CompareRayEventsData(request.events_data(), expected_ray_events_data); + }), + MakeAction( + new MockEventAggregatorAddEvents(std::move(status), std::move(reply))))); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); + } task_event_buffer_->FlushEvents(false); @@ -272,7 +484,8 @@ TEST_F(TaskEventBufferTest, TestFlushEvents) { ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); } -TEST_F(TaskEventBufferTest, TestFailedFlush) { +TEST_P(TaskEventBufferTestDifferentDestination, TestFailedFlush) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_status_events = 20; size_t num_profile_events = 20; // Adding some events @@ -290,24 +503,53 @@ TEST_F(TaskEventBufferTest, TestFailedFlush) { ->mock_task_accessor; // Mock gRPC sent failure. - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData) - .Times(2) - .WillOnce([&](std::unique_ptr actual_data, - ray::gcs::StatusCallback callback) { - callback(Status::RpcError("grpc error", grpc::StatusCode::UNKNOWN)); - return Status::OK(); - }) - .WillOnce([&](std::unique_ptr actual_data, - ray::gcs::StatusCallback callback) { - callback(Status::OK()); - return Status::OK(); - }); + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData) + .Times(2) + .WillOnce([&](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + callback(Status::RpcError("grpc error", grpc::StatusCode::UNKNOWN)); + return Status::OK(); + }) + .WillOnce([&](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + callback(Status::OK()); + return Status::OK(); + }); + } + + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + if (to_aggregator) { + rpc::events::AddEventsReply reply_1; + Status status_1 = Status::RpcError("grpc error", grpc::StatusCode::UNKNOWN); + rpc::events::AddEventsReply reply_2; + reply_2.mutable_status()->set_code(/*OK*/ 0); + reply_2.mutable_status()->set_message("All events received"); + Status status_2 = Status::OK(); + + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) + .Times(2) + .WillOnce(MakeAction( + new MockEventAggregatorAddEvents(std::move(status_1), std::move(reply_1)))) + .WillOnce(MakeAction( + new MockEventAggregatorAddEvents(std::move(status_2), std::move(reply_2)))); + } // Flush task_event_buffer_->FlushEvents(false); // Expect the number of dropped events incremented. - ASSERT_EQ(task_event_buffer_->GetNumFailedToReport(), 1); + if (to_gcs) { + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumFailedToReport), + 1); + } + if (to_aggregator) { + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumFailedToReportToAggregator), + 1); + } // Adding some more events for (size_t i = 0; i < num_status_events + num_profile_events; ++i) { @@ -321,10 +563,20 @@ TEST_F(TaskEventBufferTest, TestFailedFlush) { // Flush successfully will not affect the failed to report count. task_event_buffer_->FlushEvents(false); - ASSERT_EQ(task_event_buffer_->GetNumFailedToReport(), 1); + if (to_gcs) { + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumFailedToReport), + 1); + } + if (to_aggregator) { + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumFailedToReportToAggregator), + 1); + } } -TEST_F(TaskEventBufferTest, TestBackPressure) { +TEST_P(TaskEventBufferTestDifferentDestination, TestBackPressure) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_events = 20; // Adding some events for (size_t i = 0; i < num_events; ++i) { @@ -336,7 +588,19 @@ TEST_F(TaskEventBufferTest, TestBackPressure) { static_cast(task_event_buffer_->GetGcsClient()) ->mock_task_accessor; // Multiple flush calls should only result in 1 grpc call if not forced flush. - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(1); + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(1); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(0); + } + + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + if (to_aggregator) { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(1); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); + } task_event_buffer_->FlushEvents(false); @@ -349,7 +613,8 @@ TEST_F(TaskEventBufferTest, TestBackPressure) { task_event_buffer_->FlushEvents(false); } -TEST_F(TaskEventBufferTest, TestForcedFlush) { +TEST_P(TaskEventBufferTestDifferentDestination, TestForcedFlush) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_events = 20; // Adding some events for (size_t i = 0; i < num_events; ++i) { @@ -357,12 +622,23 @@ TEST_F(TaskEventBufferTest, TestForcedFlush) { task_event_buffer_->AddTaskEvent(GenStatusTaskEvent(task_id, 0)); } + // Multiple flush calls with forced should result in same number of grpc call. auto task_gcs_accessor = static_cast(task_event_buffer_->GetGcsClient()) ->mock_task_accessor; + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(2); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(0); + } - // Multiple flush calls with forced should result in same number of grpc call. - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(2); + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + if (to_aggregator) { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(2); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); + } auto task_id_1 = RandomTaskId(); task_event_buffer_->AddTaskEvent(GenStatusTaskEvent(task_id_1, 0)); @@ -373,7 +649,8 @@ TEST_F(TaskEventBufferTest, TestForcedFlush) { task_event_buffer_->FlushEvents(true); } -TEST_F(TaskEventBufferTestBatchSend, TestBatchedSend) { +TEST_P(TaskEventBufferTestBatchSendDifferentDestination, TestBatchedSend) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_events = 100; size_t batch_size = 10; // Sync with constructor. std::vector task_ids; @@ -387,16 +664,40 @@ TEST_F(TaskEventBufferTestBatchSend, TestBatchedSend) { auto task_gcs_accessor = static_cast(task_event_buffer_->GetGcsClient()) ->mock_task_accessor; + if (to_gcs) { + // With batch size = 10, there should be 10 flush calls + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData) + .Times(num_events / batch_size) + .WillRepeatedly([&batch_size](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + EXPECT_EQ(actual_data->events_by_task_size(), batch_size); + callback(Status::OK()); + return Status::OK(); + }); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData).Times(0); + } - // With batch size = 10, there should be 10 flush calls - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData) - .Times(num_events / batch_size) - .WillRepeatedly([&batch_size](std::unique_ptr actual_data, - ray::gcs::StatusCallback callback) { - EXPECT_EQ(actual_data->events_by_task_size(), batch_size); - callback(Status::OK()); - return Status::OK(); - }); + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + if (to_aggregator) { + rpc::events::AddEventsReply reply; + reply.mutable_status()->set_code(/*OK*/ 0); + reply.mutable_status()->set_message("All events received"); + Status status = Status::OK(); + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) + .Times(num_events / batch_size) + .WillRepeatedly(DoAll( + Invoke([&batch_size]( + const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback) { + EXPECT_EQ(request.events_data().events_size(), batch_size); + }), + MakeAction( + new MockEventAggregatorAddEvents(std::move(status), std::move(reply))))); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); + } for (int i = 0; i * batch_size < num_events; i++) { task_event_buffer_->FlushEvents(true); @@ -408,7 +709,9 @@ TEST_F(TaskEventBufferTestBatchSend, TestBatchedSend) { EXPECT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); } -TEST_F(TaskEventBufferTestLimitBuffer, TestBufferSizeLimitStatusEvents) { +TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, + TestBufferSizeLimitStatusEvents) { + const auto [to_gcs, to_aggregator] = GetParam(); size_t num_limit_status_events = 10; // sync with setup size_t num_status_dropped = 10; @@ -423,12 +726,15 @@ TEST_F(TaskEventBufferTestLimitBuffer, TestBufferSizeLimitStatusEvents) { } rpc::TaskEventData expected_data; + rpc::events::RayEventsData expected_ray_events_data; for (const auto &event_ptr : status_events_1) { rpc::TaskAttempt rpc_task_attempt; auto task_attempt = event_ptr->GetTaskAttempt(); rpc_task_attempt.set_task_id(task_attempt.first.Binary()); rpc_task_attempt.set_attempt_number(task_attempt.second); *(expected_data.add_dropped_task_attempts()) = rpc_task_attempt; + *(expected_ray_events_data.mutable_task_events_metadata() + ->add_dropped_task_attempts()) = rpc_task_attempt; } for (const auto &event_ptr : status_events_2) { @@ -437,6 +743,18 @@ TEST_F(TaskEventBufferTestLimitBuffer, TestBufferSizeLimitStatusEvents) { auto event = std::make_unique( *static_cast(event_ptr.get())); event->ToRpcTaskEvents(expect_event); + + RayEventsPair ray_events_pair; + event->ToRpcRayEvents(ray_events_pair); + auto [task_definition_event, task_execution_event] = ray_events_pair; + if (task_definition_event) { + auto event = expected_ray_events_data.add_events(); + *event = std::move(task_definition_event.value()); + } + if (task_execution_event) { + auto event = expected_ray_events_data.add_events(); + *event = std::move(task_execution_event.value()); + } } // Add the data @@ -454,22 +772,52 @@ TEST_F(TaskEventBufferTestLimitBuffer, TestBufferSizeLimitStatusEvents) { static_cast(task_event_buffer_->GetGcsClient()) ->mock_task_accessor; - EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)) - .WillOnce([&](std::unique_ptr actual_data, - ray::gcs::StatusCallback callback) { - // Sort and compare - CompareTaskEventData(*actual_data, expected_data); - return Status::OK(); - }); + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)) + .WillOnce([&](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + // Sort and compare + CompareTaskEventData(*actual_data, expected_data); + return Status::OK(); + }); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)).Times(0); + } + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + if (to_aggregator) { + rpc::events::AddEventsReply reply; + reply.mutable_status()->set_code(/*OK*/ 0); + reply.mutable_status()->set_message("All events received"); + Status status = Status::OK(); + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) + .WillOnce(DoAll( + Invoke([&](const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback) { + CompareRayEventsData(request.events_data(), expected_ray_events_data); + }), + MakeAction( + new MockEventAggregatorAddEvents(std::move(status), std::move(reply))))); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); + } task_event_buffer_->FlushEvents(false); // Expect data flushed. ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); - ASSERT_EQ(task_event_buffer_->GetNumProfileTaskEventsDroppedSinceLastFlush(), 0); - ASSERT_EQ(task_event_buffer_->GetNumStatusTaskEventsDroppedSinceLastFlush(), 0); - ASSERT_EQ(task_event_buffer_->GetTotalNumProfileTaskEventsDropped(), 0); - ASSERT_EQ(task_event_buffer_->GetTotalNumStatusTaskEventsDropped(), num_status_dropped); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kNumTaskProfileEventDroppedSinceLastFlush), + 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kNumTaskStatusEventDroppedSinceLastFlush), + 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskProfileEventDropped), + 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskStatusEventDropped), + num_status_dropped); } TEST_F(TaskEventBufferTestLimitProfileEvents, TestBufferSizeLimitProfileEvents) { @@ -514,11 +862,18 @@ TEST_F(TaskEventBufferTestLimitProfileEvents, TestBufferSizeLimitProfileEvents) // Expect data flushed. ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); - ASSERT_EQ(task_event_buffer_->GetNumProfileTaskEventsDroppedSinceLastFlush(), 0); - ASSERT_EQ(task_event_buffer_->GetNumStatusTaskEventsDroppedSinceLastFlush(), 0); - ASSERT_EQ(task_event_buffer_->GetTotalNumProfileTaskEventsDropped(), + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kNumTaskProfileEventDroppedSinceLastFlush), + 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kNumTaskStatusEventDroppedSinceLastFlush), + 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskProfileEventDropped), num_profile_dropped); - ASSERT_EQ(task_event_buffer_->GetTotalNumStatusTaskEventsDropped(), 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskStatusEventDropped), + 0); } TEST_F(TaskEventBufferTestLimitProfileEvents, TestLimitProfileEventsPerTask) { @@ -539,9 +894,12 @@ TEST_F(TaskEventBufferTestLimitProfileEvents, TestLimitProfileEventsPerTask) { // Assert dropped count task_event_buffer_->FlushEvents(false); - ASSERT_EQ(task_event_buffer_->GetTotalNumProfileTaskEventsDropped(), + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskProfileEventDropped), num_total_profile_events - num_profile_events_per_task); - ASSERT_EQ(task_event_buffer_->GetTotalNumStatusTaskEventsDropped(), 0); + ASSERT_EQ(task_event_buffer_->stats_counter_.Get( + TaskEventBufferCounter::kTotalNumTaskStatusEventDropped), + 0); } TEST_F(TaskEventBufferTest, TestIsDebuggerPausedFlag) { @@ -564,6 +922,27 @@ TEST_F(TaskEventBufferTest, TestGracefulDestruction) { delete task_event_buffer_.release(); } +INSTANTIATE_TEST_SUITE_P(TaskEventBufferTest, + TaskEventBufferTestDifferentDestination, + ::testing::Values(DifferentDestination{true, true}, + DifferentDestination{true, false}, + DifferentDestination{false, true}, + DifferentDestination{false, false})); + +INSTANTIATE_TEST_SUITE_P(TaskEventBufferTest, + TaskEventBufferTestBatchSendDifferentDestination, + ::testing::Values(DifferentDestination{true, true}, + DifferentDestination{true, false}, + DifferentDestination{false, true}, + DifferentDestination{false, false})); + +INSTANTIATE_TEST_SUITE_P(TaskEventBufferTest, + TaskEventBufferTestLimitBufferDifferentDestination, + ::testing::Values(DifferentDestination{true, true}, + DifferentDestination{true, false}, + DifferentDestination{false, true}, + DifferentDestination{false, false})); + } // namespace worker } // namespace core diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.cc b/src/ray/gcs/gcs_server/gcs_task_manager.cc index 19ce88c88860..271f704322ac 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_task_manager.cc @@ -653,9 +653,9 @@ void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } -void GcsTaskManager::HandleAddEvent(rpc::events::AddEventRequest request, - rpc::events::AddEventReply *reply, - rpc::SendReplyCallback send_reply_callback) { +void GcsTaskManager::HandleAddEvents(rpc::events::AddEventsRequest request, + rpc::events::AddEventsReply *reply, + rpc::SendReplyCallback send_reply_callback) { // TODO(can-anyscale): Implement this. GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index 43aefe0fc9da..89ca5c8b611c 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -105,14 +105,14 @@ class GcsTaskManager : public rpc::TaskInfoHandler, public rpc::RayEventExportHa rpc::AddTaskEventDataReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Handles a AddEvent request. + /// Handles a AddEvents request. /// /// \param request gRPC Request. /// \param reply gRPC Reply. /// \param send_reply_callback Callback to invoke when sending reply. - void HandleAddEvent(rpc::events::AddEventRequest request, - rpc::events::AddEventReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void HandleAddEvents(rpc::events::AddEventsRequest request, + rpc::events::AddEventsReply *reply, + rpc::SendReplyCallback send_reply_callback) override; /// Handle GetTaskEvent request. /// diff --git a/src/ray/protobuf/events_actor_task_definition_event.proto b/src/ray/protobuf/events_actor_task_definition_event.proto index 9b9555224f06..4aa26e561fd9 100644 --- a/src/ray/protobuf/events_actor_task_definition_event.proto +++ b/src/ray/protobuf/events_actor_task_definition_event.proto @@ -28,11 +28,14 @@ message ActorTaskDefinitionEvent { // The actor task definition information. FunctionDescriptor actor_func = 3; - map required_resources = 5; + map required_resources = 5; RuntimeEnvInfo runtime_env_info = 6; // The correlation ids of the task that can be used to correlate the task with // other events. bytes job_id = 7; - map ref_ids = 8; + bytes actor_id = 8; + bytes parent_task_id = 9; + bytes placement_group_id = 10; + map ref_ids = 11; } diff --git a/src/ray/protobuf/events_actor_task_execution_event.proto b/src/ray/protobuf/events_actor_task_execution_event.proto index 1bb62a45194c..3e7ae892c769 100644 --- a/src/ray/protobuf/events_actor_task_execution_event.proto +++ b/src/ray/protobuf/events_actor_task_execution_event.proto @@ -40,7 +40,4 @@ message ActorTaskExecutionEvent { bytes node_id = 6; bytes worker_id = 7; int32 worker_pid = 8; - bytes parent_task_id = 9; - bytes actor_id = 10; - bytes placement_group_id = 11; } diff --git a/src/ray/protobuf/events_event_aggregator_service.proto b/src/ray/protobuf/events_event_aggregator_service.proto index 9ce4596e17b2..896a9d9be350 100644 --- a/src/ray/protobuf/events_event_aggregator_service.proto +++ b/src/ray/protobuf/events_event_aggregator_service.proto @@ -33,12 +33,12 @@ message RayEventsData { TaskEventsMetadata task_events_metadata = 2; } -message AddEventRequest { +message AddEventsRequest { // Event data to be added to the event aggregator. RayEventsData events_data = 1; } -message AddEventStatus { +message AddEventsStatus { // Status code of the add event request result. The codes follow the codes in // `src/ray/common/status.h` int32 code = 1; @@ -46,13 +46,17 @@ message AddEventStatus { string message = 2; } -message AddEventReply { +message AddEventsReply { // Status of the add event request result. - AddEventStatus status = 1; + AddEventsStatus status = 1; } // Service for adding events to the event aggregator. service EventAggregatorService { - // Add events to the event aggregator. - rpc AddEvents(AddEventRequest) returns (AddEventReply); + // Add events to the local event aggregator. + // Failure: + // Infinite timeout because the communication to the event aggregator will + // always be on the same node. + // No retry because event sending to the aggregator is best effort. + rpc AddEvents(AddEventsRequest) returns (AddEventsReply); } diff --git a/src/ray/protobuf/events_task_definition_event.proto b/src/ray/protobuf/events_task_definition_event.proto index e70f7c01c449..c47b2b0503de 100644 --- a/src/ray/protobuf/events_task_definition_event.proto +++ b/src/ray/protobuf/events_task_definition_event.proto @@ -29,11 +29,13 @@ message TaskDefinitionEvent { // The task definition information. FunctionDescriptor task_func = 3; string task_name = 4; - map required_resources = 5; + map required_resources = 5; RuntimeEnvInfo runtime_env_info = 6; // The correlation ids of the task that can be used to correlate the task with // other events. bytes job_id = 7; - map ref_ids = 8; + bytes parent_task_id = 8; + bytes placement_group_id = 9; + map ref_ids = 10; } diff --git a/src/ray/protobuf/events_task_execution_event.proto b/src/ray/protobuf/events_task_execution_event.proto index 48a55a1d1403..7418f9354064 100644 --- a/src/ray/protobuf/events_task_execution_event.proto +++ b/src/ray/protobuf/events_task_execution_event.proto @@ -19,7 +19,8 @@ import "src/ray/protobuf/common.proto"; package ray.rpc.events; -// Message containing the execution information of a task. +// Message containing the execution information of a task (can apply to both normal +// tasks and actor tasks). message TaskExecutionEvent { // task_id and task_attempt form the unique identifier of a task. bytes task_id = 1; @@ -38,6 +39,4 @@ message TaskExecutionEvent { bytes node_id = 6; bytes worker_id = 7; int32 worker_pid = 8; - bytes parent_task_id = 9; - bytes placement_group_id = 10; } diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 3e55bae2270e..090a21c226d3 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -869,7 +869,7 @@ service TaskInfoGcsService { // Service for recording the unified ray events. service RayEventExportGcsService { // Add OneEvent task data to GCS. - rpc AddEvent(events.AddEventRequest) returns (events.AddEventReply); + rpc AddEvents(events.AddEventsRequest) returns (events.AddEventsReply); } /////////////////////////////////////////////////////////////////////////////// diff --git a/src/ray/rpc/event_aggregator_client.h b/src/ray/rpc/event_aggregator_client.h index 4dfae72f308b..b8b0f2fe3dd1 100644 --- a/src/ray/rpc/event_aggregator_client.h +++ b/src/ray/rpc/event_aggregator_client.h @@ -18,59 +18,50 @@ #include #include +#include +#include "ray/common/status.h" #include "ray/rpc/grpc_client.h" #include "ray/util/logging.h" -#include "src/ray/protobuf/event_aggregator_service.grpc.pb.h" -#include "src/ray/protobuf/event_aggregator_service.pb.h" +#include "src/ray/protobuf/events_event_aggregator_service.grpc.pb.h" +#include "src/ray/protobuf/events_event_aggregator_service.pb.h" namespace ray { namespace rpc { +using ray::rpc::events::AddEventsReply; +using ray::rpc::events::AddEventsRequest; -/// Client used for communicating with an event aggregator server in the dashboard +/// Client used for sending ray events to the event aggregator server in the dashboard /// agent. class EventAggregatorClient { public: virtual ~EventAggregatorClient() = default; - /// Report event to event aggregator. - /// - /// \param[in] request The request message. - /// \param[in] callback The callback function that handles reply. - virtual void AddEvents(const rpc::AddEventRequest &request, - const ClientCallback &callback) = 0; + virtual void AddEvents(const rpc::events::AddEventsRequest &request, + const ClientCallback &callback) = 0; }; class EventAggregatorClientImpl : public EventAggregatorClient { public: /// Constructor. /// - /// \param[in] address Address of the event aggregator server. /// \param[in] port Port of the event aggregator server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - EventAggregatorClientImpl(const std::string &address, - const int port, - ClientCallManager &client_call_manager) { - RAY_LOG(INFO) << "Initiating the event aggregator client with address: " << address - << " port: " << port; - grpc_client_ = std::make_unique>( - address, port, client_call_manager); + EventAggregatorClientImpl(const int port, ClientCallManager &client_call_manager) { + RAY_LOG(INFO) << "Initiating the local event aggregator client with port: " << port; + grpc_client_ = std::make_unique>( + "127.0.0.1", port, client_call_manager); }; - void AddEvents(const rpc::AddEventRequest &request, - const ClientCallback &callback) override { - grpc_client_->CallMethod( - &EventAggregatorService::Stub::PrepareAsyncReceiveEvents, - request, - callback, - "EventAggregatorService.grpc_client.AddEvents", - // TODO(myan): Add timeout and retry logic. - /*timeout_ms*/ -1); - } + VOID_RPC_CLIENT_METHOD(rpc::events::EventAggregatorService, + AddEvents, + grpc_client_, + /*method_timeout_ms*/ -1, + override) private: // The RPC client. - std::unique_ptr> grpc_client_; + std::unique_ptr> grpc_client_; }; } // namespace rpc diff --git a/src/ray/rpc/gcs_server/gcs_rpc_client.h b/src/ray/rpc/gcs_server/gcs_rpc_client.h index 9ce699b4cda9..b5bf701ede0c 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_client.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_client.h @@ -398,7 +398,7 @@ class GcsRpcClient { VOID_GCS_RPC_CLIENT_METHOD_FULL(ray::rpc, ray::rpc::events, RayEventExportGcsService, - AddEvent, + AddEvents, ray_event_export_grpc_client_, /*method_timeout_ms*/ -1, /*handle_payload_status=*/true, ) diff --git a/src/ray/rpc/gcs_server/gcs_rpc_server.h b/src/ray/rpc/gcs_server/gcs_rpc_server.h index 70994456b49f..e91b8161a8af 100644 --- a/src/ray/rpc/gcs_server/gcs_rpc_server.h +++ b/src/ray/rpc/gcs_server/gcs_rpc_server.h @@ -30,8 +30,8 @@ namespace rpc { // Most of our RPC templates, if not all, expect messages in the ray::rpc protobuf // namespace. Since the following two messages are defined under the rpc::events // namespace, we treat them as if they were part of ray::rpc for compatibility. -using ray::rpc::events::AddEventReply; -using ray::rpc::events::AddEventRequest; +using ray::rpc::events::AddEventsReply; +using ray::rpc::events::AddEventsRequest; namespace autoscaler { #define AUTOSCALER_STATE_SERVICE_RPC_HANDLER(HANDLER) \ @@ -693,9 +693,9 @@ class TaskInfoGrpcService : public GrpcService { class RayEventExportGcsServiceHandler { public: virtual ~RayEventExportGcsServiceHandler() = default; - virtual void HandleAddEvent(AddEventRequest request, - AddEventReply *reply, - SendReplyCallback send_reply_callback) = 0; + virtual void HandleAddEvents(AddEventsRequest request, + AddEventsReply *reply, + SendReplyCallback send_reply_callback) = 0; }; /// The `GrpcService` for `RayEventExportGcsService`. @@ -711,7 +711,7 @@ class RayEventExportGrpcService : public GrpcService { const std::unique_ptr &cq, std::vector> *server_call_factories, const ClusterID &cluster_id) override { - RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvent); + RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvents); } private: From 5ddc2fc32c90419ad1988b0f63ba667cacf451ed Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 31 Jul 2025 22:22:18 -0700 Subject: [PATCH 0439/1566] [core] Scaffolding for core worker lazy subscribing (#54220) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 67 ++++++++++++++++++------------ src/ray/core_worker/core_worker.h | 6 +++ 2 files changed, 46 insertions(+), 27 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 20183eba0729..fb6c5c983ac0 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -359,33 +359,7 @@ CoreWorker::CoreWorker( RegisterToGcs(options_.worker_launch_time_ms, options_.worker_launched_time_ms); - // Register a callback to monitor add/removed nodes. - // Note we capture a shared ownership of reference_counter_ and rate_limiter - // here to avoid destruction order fiasco between gcs_client and reference_counter_. - auto on_node_change = [temp_reference_counter = reference_counter_, - temp_rate_limiter = lease_request_rate_limiter_]( - const NodeID &node_id, const rpc::GcsNodeInfo &data) { - if (data.state() == rpc::GcsNodeInfo::DEAD) { - RAY_LOG(INFO).WithField(node_id) - << "Node failure. All objects pinned on that node will be lost if object " - "reconstruction is not enabled."; - temp_reference_counter->ResetObjectsOnRemovedNode(node_id); - } - auto cluster_size_based_rate_limiter = - dynamic_cast(temp_rate_limiter.get()); - if (cluster_size_based_rate_limiter != nullptr) { - cluster_size_based_rate_limiter->OnNodeChanges(data); - } - }; - - gcs_client_->Nodes().AsyncSubscribeToNodeChange( - std::move(on_node_change), [this](const Status &) { - { - std::scoped_lock lock(gcs_client_node_cache_populated_mutex_); - gcs_client_node_cache_populated_ = true; - } - gcs_client_node_cache_populated_cv_.notify_all(); - }); + SubscribeToNodeChanges(); // Create an entry for the driver task in the task table. This task is // added immediately with status RUNNING. This allows us to push errors @@ -830,6 +804,38 @@ void CoreWorker::RegisterToGcs(int64_t worker_launch_time_ms, gcs_client_->Workers().AsyncAdd(worker_data, nullptr); } +void CoreWorker::SubscribeToNodeChanges() { + std::call_once(subscribe_to_node_changes_flag_, [this]() { + // Register a callback to monitor add/removed nodes. + // Note we capture a shared ownership of reference_counter and rate_limiter + // here to avoid destruction order fiasco between gcs_client and reference_counter_. + auto on_node_change = [reference_counter = reference_counter_, + rate_limiter = lease_request_rate_limiter_]( + const NodeID &node_id, const rpc::GcsNodeInfo &data) { + if (data.state() == rpc::GcsNodeInfo::DEAD) { + RAY_LOG(INFO).WithField(node_id) + << "Node failure. All objects pinned on that node will be lost if object " + "reconstruction is not enabled."; + reference_counter->ResetObjectsOnRemovedNode(node_id); + } + auto cluster_size_based_rate_limiter = + dynamic_cast(rate_limiter.get()); + if (cluster_size_based_rate_limiter != nullptr) { + cluster_size_based_rate_limiter->OnNodeChanges(data); + } + }; + + gcs_client_->Nodes().AsyncSubscribeToNodeChange( + std::move(on_node_change), [this](const Status &) { + { + std::scoped_lock lock(gcs_client_node_cache_populated_mutex_); + gcs_client_node_cache_populated_ = true; + } + gcs_client_node_cache_populated_cv_.notify_all(); + }); + }); +} + void CoreWorker::ExitIfParentRayletDies() { RAY_CHECK(!RayConfig::instance().RAYLET_PID().empty()); static auto raylet_pid = @@ -1022,6 +1028,7 @@ void CoreWorker::RegisterOwnershipInfoAndResolveFuture( Status CoreWorker::Put(const RayObject &object, const std::vector &contained_object_ids, ObjectID *object_id) { + SubscribeToNodeChanges(); *object_id = ObjectID::FromIndex(worker_context_->GetCurrentInternalTaskId(), worker_context_->GetNextPutIndex()); reference_counter_->AddOwnedObject(*object_id, @@ -1107,6 +1114,7 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( owner_address != nullptr ? *owner_address : rpc_address_; bool owned_by_us = real_owner_address.worker_id() == rpc_address_.worker_id(); if (owned_by_us) { + SubscribeToNodeChanges(); reference_counter_->AddOwnedObject(*object_id, contained_object_ids, rpc_address_, @@ -1276,6 +1284,7 @@ Status CoreWorker::SealExisting(const ObjectID &object_id, void CoreWorker::ExperimentalRegisterMutableObjectWriter( const ObjectID &writer_object_id, const std::vector &remote_reader_node_ids) { + SubscribeToNodeChanges(); { std::unique_lock lock(gcs_client_node_cache_populated_mutex_); if (!gcs_client_node_cache_populated_) { @@ -2014,6 +2023,7 @@ std::vector CoreWorker::SubmitTask( const std::string &serialized_retry_exception_allowlist, const std::string &call_site, const TaskID current_task_id) { + SubscribeToNodeChanges(); RAY_CHECK(scheduling_strategy.scheduling_strategy_case() != rpc::SchedulingStrategy::SchedulingStrategyCase::SCHEDULING_STRATEGY_NOT_SET); @@ -2091,6 +2101,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, const std::string &extension_data, const std::string &call_site, ActorID *return_actor_id) { + SubscribeToNodeChanges(); RAY_CHECK(actor_creation_options.scheduling_strategy.scheduling_strategy_case() != rpc::SchedulingStrategy::SchedulingStrategyCase::SCHEDULING_STRATEGY_NOT_SET); @@ -2363,6 +2374,7 @@ Status CoreWorker::SubmitActorTask( const std::string &call_site, std::vector &task_returns, const TaskID current_task_id) { + SubscribeToNodeChanges(); absl::ReleasableMutexLock lock(&actor_task_mutex_); task_returns.clear(); if (!actor_task_submitter_->CheckActorExists(actor_id)) { @@ -4314,6 +4326,7 @@ void CoreWorker::HandleExit(rpc::ExitRequest request, void CoreWorker::HandleAssignObjectOwner(rpc::AssignObjectOwnerRequest request, rpc::AssignObjectOwnerReply *reply, rpc::SendReplyCallback send_reply_callback) { + SubscribeToNodeChanges(); ObjectID object_id = ObjectID::FromBinary(request.object_id()); const auto &borrower_address = request.borrower_address(); const std::string &call_site = request.call_site(); diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index df3b349f7050..09ec6303e91e 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1370,6 +1370,9 @@ class CoreWorker { FRIEND_TEST(TestOverrideRuntimeEnv, TestCondaInherit); FRIEND_TEST(TestOverrideRuntimeEnv, TestCondaOverride); + /// Used to lazily subscribe to node_changes only if the worker takes any owner actions. + void SubscribeToNodeChanges(); + std::shared_ptr OverrideTaskOrActorRuntimeEnvInfo( const std::string &serialized_runtime_env_info) const; @@ -1927,6 +1930,9 @@ class CoreWorker { mutable utils::container::ThreadSafeSharedLruCache runtime_env_json_serialization_cache_; + /// Used to ensure we only subscribe to node changes once. + std::once_flag subscribe_to_node_changes_flag_; + /// Used to block in certain spots if the GCS node cache is needed. std::mutex gcs_client_node_cache_populated_mutex_; std::condition_variable gcs_client_node_cache_populated_cv_; From d8dc1198ea25e141d2bd3324607b2e52e5b76a61 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 31 Jul 2025 23:52:49 -0700 Subject: [PATCH 0440/1566] [core] fix AddEventsRequest rename (#55124) logical merge conflict Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../dashboard/modules/aggregator/tests/test_aggregator_agent.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 9ee1f3e3c80f..d3397b597bd7 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -381,7 +381,7 @@ def test_aggregator_agent_receive_profile_events( seconds, nanos = (test_time // 10**9, test_time % 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventRequest( + request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( From c866124dae2181afb7556722de7b31e906d1fda2 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Fri, 1 Aug 2025 07:20:58 -0700 Subject: [PATCH 0441/1566] introduce same event loop router in serve (#55030) ``` from ray import serve @serve.deployment(max_ongoing_requests=10000) class MyDeployment: async def __call__(self): return "Hello, world!" app = MyDeployment.bind() ``` `ab -n 2000 -c 100 "http://localhost:8000/"` `RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP=0 serve run app:app` Requests per second: 483.46 [#/sec] (mean) Time per request: 206.843 [ms] (mean) `RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP=1 serve run app:app` Requests per second: 412.05 [#/sec] (mean) Time per request: 242.688 [ms] (mean) ~17% improvement in performance with running router in the same event loop as proxy --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/client.py | 6 +- python/ray/serve/_private/constants.py | 7 + python/ray/serve/_private/default_impl.py | 21 +- python/ray/serve/_private/handle_options.py | 2 + python/ray/serve/_private/router.py | 37 +++ python/ray/serve/handle.py | 62 ++++- python/ray/serve/tests/BUILD | 20 ++ python/ray/serve/tests/conftest.py | 2 +- .../ray/serve/tests/test_handle_same_loop.py | 222 ++++++++++++++++++ 9 files changed, 363 insertions(+), 16 deletions(-) create mode 100644 python/ray/serve/tests/test_handle_same_loop.py diff --git a/python/ray/serve/_private/client.py b/python/ray/serve/_private/client.py index 36fc48b24074..ffec15fa89c2 100644 --- a/python/ray/serve/_private/client.py +++ b/python/ray/serve/_private/client.py @@ -80,14 +80,16 @@ def http_config(self): def __reduce__(self): raise RayServeException(("Ray Serve client cannot be serialized.")) - def shutdown_cached_handles(self): + def shutdown_cached_handles(self, _skip_asyncio_check: bool = False): """Shuts down all cached handles. Remove the reference to the cached handles so that they can be garbage collected. """ for cache_key in list(self.handle_cache): - self.handle_cache[cache_key].shutdown() + self.handle_cache[cache_key].shutdown( + _skip_asyncio_check=_skip_asyncio_check + ) del self.handle_cache[cache_key] def shutdown(self, timeout_s: float = 30.0) -> None: diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 9e59681382f5..f4406b57db3b 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -471,6 +471,13 @@ def str_to_list(s: str) -> List[str]: os.environ.get("RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD", "1") == "1" ) +# By default, we run the router in a separate event loop. +# This flag can be set to 0 to run the router in the same event loop as the +# replica's main event loop. +RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP = ( + os.environ.get("RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP", "1") == "1" +) + # The default buffer size for request path logs. Setting to 1 will ensure # logs are flushed to file handler immediately, otherwise it will be buffered # and flushed to file handler when the buffer is full or when there is a log diff --git a/python/ray/serve/_private/default_impl.py b/python/ray/serve/_private/default_impl.py index d6ab8990b414..047960abcdf6 100644 --- a/python/ray/serve/_private/default_impl.py +++ b/python/ray/serve/_private/default_impl.py @@ -1,3 +1,4 @@ +import asyncio from typing import Callable, Optional, Tuple import ray @@ -19,6 +20,7 @@ CONTROLLER_MAX_CONCURRENCY, RAY_SERVE_ENABLE_TASK_EVENTS, RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING, + RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP, SERVE_CONTROLLER_NAME, SERVE_NAMESPACE, ) @@ -28,7 +30,7 @@ ) from ray.serve._private.grpc_util import gRPCGenericServer from ray.serve._private.handle_options import DynamicHandleOptions, InitHandleOptions -from ray.serve._private.router import Router, SingletonThreadRouter +from ray.serve._private.router import CurrentLoopRouter, Router, SingletonThreadRouter from ray.serve._private.utils import ( generate_request_id, get_current_actor_id, @@ -158,7 +160,21 @@ def create_router( controller_handle = _get_global_client()._controller is_inside_ray_client_context = inside_ray_client_context() - return SingletonThreadRouter( + if handle_options._run_router_in_separate_loop: + router_wrapper_cls = SingletonThreadRouter + else: + try: + asyncio.get_running_loop() + except RuntimeError: + raise RuntimeError( + "No event loop running. You cannot use a handle initialized with " + "`_run_router_in_separate_loop=False` when not inside an asyncio event " + "loop." + ) + + router_wrapper_cls = CurrentLoopRouter + + return router_wrapper_cls( controller_handle=controller_handle, deployment_id=deployment_id, handle_id=handle_id, @@ -197,6 +213,7 @@ def get_proxy_handle(endpoint: DeploymentID, info: EndpointInfo): handle._init( _prefer_local_routing=RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING, _source=DeploymentHandleSource.PROXY, + _run_router_in_separate_loop=RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP, ) return handle.options(stream=not info.app_is_cross_language) diff --git a/python/ray/serve/_private/handle_options.py b/python/ray/serve/_private/handle_options.py index d0438f4ec3d7..ce2c624fce22 100644 --- a/python/ray/serve/_private/handle_options.py +++ b/python/ray/serve/_private/handle_options.py @@ -3,6 +3,7 @@ import ray from ray.serve._private.common import DeploymentHandleSource +from ray.serve._private.constants import RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP from ray.serve._private.utils import DEFAULT @@ -16,6 +17,7 @@ class InitHandleOptionsBase(ABC): _prefer_local_routing: bool = False _source: DeploymentHandleSource = DeploymentHandleSource.UNKNOWN + _run_router_in_separate_loop: bool = RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP @classmethod @abstractmethod diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 6d3cc4c42802..8326b5652ab5 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -954,3 +954,40 @@ def _register(self, router: AsyncioRouter) -> None: for deployment_id in self.routers.keys() } self.long_poll_client.add_key_listeners(key_listeners) + + +class CurrentLoopRouter(Router): + """Wrapper class that runs an AsyncioRouter on the current asyncio loop. + Note that this class is NOT THREAD-SAFE, and all methods are expected to be + invoked from a single asyncio event loop. + """ + + def __init__(self, **passthrough_kwargs): + assert ( + "event_loop" not in passthrough_kwargs + ), "CurrentLoopRouter uses the current event loop." + + self._asyncio_loop = asyncio.get_running_loop() + self._asyncio_router = AsyncioRouter( + event_loop=self._asyncio_loop, + _request_router_initialized_event=asyncio.Event(), + **passthrough_kwargs, + ) + + def running_replicas_populated(self) -> bool: + return self._asyncio_router.running_replicas_populated() + + def assign_request( + self, + request_meta: RequestMetadata, + *request_args, + **request_kwargs, + ) -> asyncio.Future[ReplicaResult]: + return self._asyncio_loop.create_task( + self._asyncio_router.assign_request( + request_meta, *request_args, **request_kwargs + ), + ) + + def shutdown(self) -> asyncio.Future: + return self._asyncio_loop.create_task(self._asyncio_router.shutdown()) diff --git a/python/ray/serve/handle.py b/python/ray/serve/handle.py index a3c686553f99..f95e593655e9 100644 --- a/python/ray/serve/handle.py +++ b/python/ray/serve/handle.py @@ -157,6 +157,9 @@ def _init(self, **kwargs): ): ServeUsageTag.DEPLOYMENT_HANDLE_API_USED.record("1") + def _is_router_running_in_separate_loop(self) -> bool: + return self.init_options._run_router_in_separate_loop + def _options(self, _prefer_local_routing=DEFAULT.VALUE, **kwargs): if kwargs.get("stream") is True and inside_ray_client_context(): raise RuntimeError( @@ -208,15 +211,27 @@ def _remote( def __getattr__(self, name): return self.options(method_name=name) - def shutdown(self): + def shutdown(self, _skip_asyncio_check: bool = False): if self._router: shutdown_future = self._router.shutdown() - shutdown_future.result() + if self._is_router_running_in_separate_loop(): + shutdown_future.result() + else: + if not _skip_asyncio_check: + raise RuntimeError( + "Sync methods should not be called from within an `asyncio` event " + "loop. Use `await handle.shutdown_async()` instead." + ) async def shutdown_async(self): if self._router: - shutdown_future = self._router.shutdown() - await asyncio.wrap_future(shutdown_future) + shutdown_future: Union[ + asyncio.Future, concurrent.futures.Future + ] = self._router.shutdown() + if self._is_router_running_in_separate_loop: + await asyncio.wrap_future(shutdown_future) + else: + await shutdown_future def __repr__(self): return f"{self.__class__.__name__}" f"(deployment='{self.deployment_name}')" @@ -238,13 +253,17 @@ def __reduce__(self): class _DeploymentResponseBase: def __init__( self, - replica_result_future: concurrent.futures.Future[ReplicaResult], + replica_result_future: Union[ + concurrent.futures.Future[ReplicaResult], asyncio.Future[ReplicaResult] + ], request_metadata: RequestMetadata, + _is_router_running_in_separate_loop: bool = True, ): self._cancelled = False self._replica_result_future = replica_result_future self._replica_result: Optional[ReplicaResult] = None self._request_metadata: RequestMetadata = request_metadata + self._is_router_running_in_separate_loop = _is_router_running_in_separate_loop @property def request_id(self) -> str: @@ -259,10 +278,16 @@ def _fetch_future_result_sync( """ if self._replica_result is None: + if not self._is_router_running_in_separate_loop: + raise RuntimeError( + "Sync methods should not be called from within an `asyncio` event " + "loop. Use `await response` instead." + ) try: self._replica_result = self._replica_result_future.result( timeout=_timeout_s ) + except concurrent.futures.TimeoutError: raise TimeoutError("Timed out resolving to ObjectRef.") from None except concurrent.futures.CancelledError: @@ -277,11 +302,16 @@ async def _fetch_future_result_async(self) -> ReplicaResult: """ if self._replica_result is None: - # Use `asyncio.wrap_future` so `self._replica_result_future` can be awaited - # safely from any asyncio loop. - self._replica_result = await asyncio.wrap_future( - self._replica_result_future - ) + if self._is_router_running_in_separate_loop: + # Use `asyncio.wrap_future` so `self._replica_result_future` can be awaited + # safely from any asyncio loop. + # self._replica_result_future is a object of type concurrent.futures.Future + self._replica_result = await asyncio.wrap_future( + self._replica_result_future + ) + else: + # self._replica_result_future is a object of type asyncio.Future + self._replica_result = await self._replica_result_future return self._replica_result @@ -310,6 +340,12 @@ def cancel(self): self._cancelled = True self._replica_result_future.cancel() + if not self._is_router_running_in_separate_loop: + # Given that there is a event loop running, we can't call sync methods. + # Hence optimistically cancel the replica result future and replica result. + if self._replica_result: + self._replica_result.cancel() + return try: # try to fetch the results synchronously. if it succeeds, # we will explicitly cancel the replica result. if it fails, @@ -749,4 +785,8 @@ def remote( else: response_cls = DeploymentResponse - return response_cls(future, request_metadata) + return response_cls( + future, + request_metadata, + _is_router_running_in_separate_loop=self._is_router_running_in_separate_loop(), + ) diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index a5c4a6dd4c09..3db7c5d6a0e8 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -443,3 +443,23 @@ py_test_module_list( "//python/ray/serve:serve_lib", ], ) + +py_test_module_list( + size = "medium", + env = {"RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP": "0"}, + files = [ + "test_handle_same_loop.py", + "test_proxy.py", + ], + name_suffix = "_with_router_in_same_loop", + tags = [ + "exclusive", + "no_windows", + "team:serve", + ], + deps = [ + ":common", + ":conftest", + "//python/ray/serve:serve_lib", + ], +) diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 5912ff8a95b9..3ccfb9e45dc5 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -158,7 +158,7 @@ def serve_instance(_shared_serve_instance): # Clear all state for 2.x applications and deployments. _shared_serve_instance.delete_all_apps() # Clear the ServeHandle cache between tests to avoid them piling up. - _shared_serve_instance.shutdown_cached_handles() + _shared_serve_instance.shutdown_cached_handles(_skip_asyncio_check=True) @pytest.fixture diff --git a/python/ray/serve/tests/test_handle_same_loop.py b/python/ray/serve/tests/test_handle_same_loop.py new file mode 100644 index 000000000000..78dcde1963cb --- /dev/null +++ b/python/ray/serve/tests/test_handle_same_loop.py @@ -0,0 +1,222 @@ +import asyncio +import sys + +import httpx +import pytest + +from ray import serve +from ray._common.test_utils import SignalActor, async_wait_for_condition +from ray.serve._private.constants import ( + RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP, +) +from ray.serve._private.test_utils import get_application_url +from ray.serve.exceptions import RequestCancelledError +from ray.serve.handle import ( + DeploymentHandle, +) + + +@pytest.fixture +def _skip_test_if_router_running_in_separate_loop(): + if RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP: + pytest.skip("Router is running in a separate loop.") + + +@pytest.mark.asyncio +async def test_deployment_handle_works_with_await_when_router_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + @serve.deployment + class F: + async def __call__(self): + return "hi" + + h = serve.run(F.bind()) + assert await h.remote() == "hi" + + +def test_deployment_handle_result_fails_when_driver_not_in_async_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + @serve.deployment + class F: + def __call__(self): + return "hi" + + h = serve.run(F.bind()) + with pytest.raises(RuntimeError): + h.remote().result() + + +@pytest.mark.asyncio +async def test_deployment_handle_result_fails_in_async_context_but_await_succeeds( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + @serve.deployment + class F: + def __call__(self): + return "hi" + + h = serve.run(F.bind()) + with pytest.raises(RuntimeError): + h.remote().result() + + assert await h.remote() == "hi" + + +def test_http_proxy_requests_work_when_router_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + @serve.deployment + class F: + def __call__(self): + return "hi" + + serve.run(F.bind()) + url = "http://localhost:8000/" + + resp = httpx.get(url) + assert resp.status_code == 200 + assert resp.text == "hi" + + +@pytest.mark.asyncio +async def test_deployment_handle_configured_for_same_loop_via_init(serve_instance): + @serve.deployment + class F: + def __call__(self): + return "hi" + + h = serve.run(F.bind()) + h._init(_run_router_in_separate_loop=False) + assert await h.remote() == "hi" + + with pytest.raises(RuntimeError): + h.remote().result() + + +def test_child_deployment_handle_configured_for_same_loop_communication(serve_instance): + @serve.deployment + class Child: + def __call__(self): + return "hi" + + @serve.deployment + class Parent: + def __init__(self, child_handle: DeploymentHandle): + self.child_handle = child_handle + self.child_handle._init(_run_router_in_separate_loop=False) + + async def __call__(self): + return await self.child_handle.remote() + + serve.run(Parent.bind(Child.bind())) + url = get_application_url("HTTP") + resp = httpx.get(url) + assert resp.status_code == 200 + assert resp.text == "hi" + + +@pytest.mark.asyncio +async def test_deployment_handle_exception_propagation_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + """Test that exceptions are properly propagated when router runs in same loop.""" + + @serve.deployment + class FailingDeployment: + def __call__(self): + raise ValueError("Intentional test error") + + h = serve.run(FailingDeployment.bind()) + + with pytest.raises(ValueError, match="Intentional test error"): + await h.remote() + + +@pytest.mark.asyncio +async def test_streaming_response_generator_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + """Test that streaming responses work correctly when router runs in same loop.""" + + @serve.deployment + class StreamingDeployment: + def generate_numbers(self, limit: int): + for i in range(limit): + yield i + + h = serve.run(StreamingDeployment.bind()) + streaming_handle = h.options(stream=True) + + gen = streaming_handle.generate_numbers.remote(5) + results = [] + async for value in gen: + results.append(value) + + assert results == [0, 1, 2, 3, 4] + + +@pytest.mark.asyncio +async def test_concurrent_requests_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + """Test that multiple concurrent requests work correctly in same loop mode.""" + + @serve.deployment + class ConcurrentDeployment: + async def slow_operation(self, delay: float, value: str): + await asyncio.sleep(delay) + return f"result-{value}" + + h = serve.run(ConcurrentDeployment.bind()) + + # Launch multiple concurrent requests + tasks = [ + h.slow_operation.remote(0.1, "a"), + h.slow_operation.remote(0.1, "b"), + h.slow_operation.remote(0.1, "c"), + ] + + # All should complete successfully + results = await asyncio.gather(*tasks) + assert set(results) == {"result-a", "result-b", "result-c"} + + +@pytest.mark.asyncio +async def test_request_cancellation_in_same_loop( + serve_instance, _skip_test_if_router_running_in_separate_loop +): + """Test that request cancellation works correctly when router runs in same loop.""" + signal_actor = SignalActor.remote() + + @serve.deployment + class SlowDeployment: + async def slow_operation(self): + await signal_actor.wait.remote() + return "should_not_reach_here" + + h = serve.run(SlowDeployment.bind()) + + response = h.slow_operation.remote() + + async def check_num_waiters(): + assert await signal_actor.cur_num_waiters.remote() == 1 + return True + + # its important that we use async_wait_for_condition here because + # if we block the event loop then router wont be able to function + async_wait_for_condition(check_num_waiters, timeout=10) + + # Cancel the request + response.cancel() + + # Should raise CancelledError + with pytest.raises(RequestCancelledError): + await response + + await signal_actor.send.remote(clear=True) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) From 8cf14dc249a929dc828f42e0937689aa6542bb1e Mon Sep 17 00:00:00 2001 From: Saihajpreet Singh Date: Fri, 1 Aug 2025 13:45:37 -0400 Subject: [PATCH 0442/1566] feat: update banner (#55105) Signed-off-by: Douglas Strodtman --- doc/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/conf.py b/doc/source/conf.py index a983c42e1ea9..d72a24fb14eb 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -318,7 +318,7 @@ def render_svg_logo(path): # documentation. html_theme_options = { "use_edit_page_button": True, - "announcement": """Try Ray with $100 credit — Start now""", + "announcement": """Join us at Ray Summit 2025 — Register early and save.""", "logo": { "svg": render_svg_logo("_static/img/ray_logo.svg"), }, From 019083739cf4c4ade85dbc03ac85cba3708cc557 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 1 Aug 2025 13:25:59 -0700 Subject: [PATCH 0443/1566] [data] Panels for blocks / task, bytes / blocks (#55020) ## Why are these changes needed? blocks_tasks bytes_blocks ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 28 +++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 73d3d318aa0c..cee6c99ae958 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -227,6 +227,34 @@ fill=0, stack=False, ), + Panel( + id=49, + title="Average Bytes Generated / Output Block", + description="Average byte size of output blocks generated by tasks.", + unit="bytes", + targets=[ + Target( + expr="increase(ray_data_bytes_task_outputs_generated{{{global_filters}}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters}}}[5m])", + legend="Average Bytes Generated / Output Block: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), + Panel( + id=50, + title="Average Number of Output Blocks / Task", + description="Average number of output blocks generated by tasks.", + unit="blocks", + targets=[ + Target( + expr="increase(ray_data_num_task_outputs_generated{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + legend="Average Number of Output Blocks / Task: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), Panel( id=24, title="Rows Generated by Tasks / Second", From 793d97ab1226e9ad357b6380702e25460d5a226d Mon Sep 17 00:00:00 2001 From: Chi-Sheng Liu Date: Sat, 2 Aug 2025 04:33:25 +0800 Subject: [PATCH 0444/1566] [Feat][Core] Don't count task retries due to node preemption (#54182) We decided that task retries due to node preemption should not count toward `max_retries`. --------- Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: Rueian Co-authored-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/tests/test_draining.py | 72 ++++++++++++++++++- src/ray/core_worker/core_worker_process.cc | 3 +- src/ray/core_worker/task_manager.cc | 17 ++++- src/ray/core_worker/task_manager.h | 10 ++- src/ray/core_worker/test/task_manager_test.cc | 60 +++++++++++++++- src/ray/gcs/gcs_client/accessor.cc | 3 +- src/ray/gcs/gcs_client/test/accessor_test.cc | 27 +++++++ 7 files changed, 184 insertions(+), 8 deletions(-) diff --git a/python/ray/tests/test_draining.py b/python/ray/tests/test_draining.py index ccac5097c2cf..c94eb8b5a92c 100644 --- a/python/ray/tests/test_draining.py +++ b/python/ray/tests/test_draining.py @@ -3,9 +3,10 @@ import ray import time +from collections import Counter from ray._raylet import GcsClient from ray.core.generated import autoscaler_pb2, common_pb2 -from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import wait_for_condition, SignalActor from ray.util.scheduling_strategies import ( NodeAffinitySchedulingStrategy, PlacementGroupSchedulingStrategy, @@ -500,6 +501,75 @@ def actor_started(): wait_for_condition(actor_started, timeout=5) +def test_drain_node_task_retry(ray_start_cluster): + cluster = ray_start_cluster + cluster.add_node(num_cpus=1, resources={"head": 100}) + ray.init(address=cluster.address) + + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + cluster.wait_for_nodes() + node_ids = Counter() + + gcs_client = GcsClient(address=ray.get_runtime_context().gcs_address) + + @ray.remote(resources={"head": 1}) + class NodeTracker: + def __init__(self): + self._node_ids = Counter() + + def add_node(self, node_id): + self._node_ids.update([node_id]) + + def nodes(self): + return self._node_ids + + @ray.remote(max_retries=1, resources={"worker": 1}) + def func(signal, nodes): + node_id = ray.get_runtime_context().get_node_id() + ray.get(nodes.add_node.remote(node_id)) + ray.get(signal.wait.remote()) + return node_id + + signal = SignalActor.options(resources={"head": 1}).remote() + node_tracker = NodeTracker.remote() + r1 = func.remote(signal, node_tracker) + + # Verify the first node is added to the counter by the func.remote task. + node_ids.update([cur_worker.node_id]) + wait_for_condition(lambda: ray.get(node_tracker.nodes.remote()) == node_ids) + + # Remove the current worker node and add a new one to trigger a retry. + cluster.remove_node(cur_worker, True) + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + + # Verify the second node is added to the counter by the task after a retry. + node_ids.update([cur_worker.node_id]) + wait_for_condition(lambda: ray.get(node_tracker.nodes.remote()) == node_ids) + + # Preempt the second node and add a new one to trigger a retry. + is_accepted, _ = gcs_client.drain_node( + cur_worker.node_id, + autoscaler_pb2.DrainNodeReason.Value("DRAIN_NODE_REASON_PREEMPTION"), + "preemption", + 1, + ) + assert is_accepted + cluster.remove_node(cur_worker, True) + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + + # Verify the third node is added to the counter after a preemption retry. + node_ids.update([cur_worker.node_id]) + wait_for_condition(lambda: ray.get(node_tracker.nodes.remote()) == node_ids) + + # Remove the third node and add a new one, but the task should not retry. + cluster.remove_node(cur_worker, True) + cur_worker = cluster.add_node(num_cpus=1, resources={"worker": 1}) + + # max_retries is reached, the task should fail. + with pytest.raises(ray.exceptions.NodeDiedError): + ray.get(r1) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 2bb0f5c26cd3..8c2143a083f9 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -441,7 +441,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto addr = core_worker->actor_task_submitter_->GetActorAddress(actor_id); RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; return core_worker->core_worker_client_pool_->GetOrConnect(addr.value()); - }); + }, + gcs_client); auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { auto timestamp = std::chrono::duration_cast( diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index d8fe1180fd94..c1ee49d01ef2 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -1087,9 +1087,22 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, RAY_CHECK(num_oom_retries_left == 0); } } else { - if (num_retries_left > 0) { + auto is_preempted = false; + if (error_info.error_type() == rpc::ErrorType::NODE_DIED) { + const auto node_info = gcs_client_->Nodes().Get(task_entry.GetNodeId(), + /*filter_dead_nodes=*/false); + is_preempted = node_info != nullptr && node_info->has_death_info() && + node_info->death_info().reason() == + rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED; + } + if (num_retries_left > 0 || (is_preempted && task_entry.spec.IsRetriable())) { will_retry = true; - task_entry.num_retries_left--; + if (is_preempted) { + RAY_LOG(INFO) << "Task " << task_id << " failed due to node preemption on node " + << task_entry.GetNodeId() << ", not counting against retries"; + } else { + task_entry.num_retries_left--; + } } else if (num_retries_left == -1) { will_retry = true; } else { diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 8a8cee362b52..1d841f21f284 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include #include @@ -27,6 +28,7 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_manager_interface.h" +#include "ray/gcs/gcs_client/gcs_client.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/common.pb.h" @@ -177,7 +179,8 @@ class TaskManager : public TaskManagerInterface { int64_t max_lineage_bytes, worker::TaskEventBuffer &task_event_buffer, std::function(const ActorID &)> - client_factory) + client_factory, + std::shared_ptr gcs_client) : in_memory_store_(in_memory_store), reference_counter_(reference_counter), put_in_local_plasma_callback_(std::move(put_in_local_plasma_callback)), @@ -186,7 +189,8 @@ class TaskManager : public TaskManagerInterface { push_error_callback_(std::move(push_error_callback)), max_lineage_bytes_(max_lineage_bytes), task_event_buffer_(task_event_buffer), - get_actor_rpc_client_callback_(std::move(client_factory)) { + get_actor_rpc_client_callback_(std::move(client_factory)), + gcs_client_(std::move(gcs_client)) { task_counter_.SetOnChangeCallback( [this](const std::tuple &key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(&mu_) { @@ -789,6 +793,8 @@ class TaskManager : public TaskManagerInterface { const ActorID &actor_id)> get_actor_rpc_client_callback_; + std::shared_ptr gcs_client_; + friend class TaskManagerTest; }; diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 50e74b94e4d2..9be48562a797 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -131,6 +131,7 @@ class TaskManagerTest : public ::testing::Test { publisher_(std::make_shared()), subscriber_(std::make_shared()), task_event_buffer_mock_(std::make_unique()), + mock_gcs_client_(std::make_shared()), reference_counter_(std::make_shared( addr_, publisher_.get(), @@ -164,7 +165,8 @@ class TaskManagerTest : public ::testing::Test { [](const ActorID &actor_id) -> std::shared_ptr { return nullptr; - }) {} + }, + mock_gcs_client_) {} virtual void TearDown() { AssertNoLeaks(); } @@ -201,6 +203,7 @@ class TaskManagerTest : public ::testing::Test { std::shared_ptr publisher_; std::shared_ptr subscriber_; std::unique_ptr task_event_buffer_mock_; + std::shared_ptr mock_gcs_client_; std::shared_ptr reference_counter_; InstrumentedIOContextWithThread io_context_; std::shared_ptr store_; @@ -2634,6 +2637,61 @@ TEST_F(TaskManagerTest, TestGPUObjectTaskSuccess) { ASSERT_EQ(removed[0], gpu_obj_ref); ASSERT_EQ(reference_counter_->NumObjectIDsInScope(), 1); } + +TEST_F(TaskManagerTest, TestTaskRetriedOnNodePreemption) { + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + spec.GetMutableMessage().set_max_retries(1); + int num_retries = 1; // 1 normal retry allowed + + manager_.AddPendingTask(caller_address, spec, "", num_retries); + ASSERT_TRUE(manager_.IsTaskPending(spec.TaskId())); + + NodeID node_id = NodeID::FromRandom(); + WorkerID worker_id = WorkerID::FromRandom(); + manager_.MarkDependenciesResolved(spec.TaskId()); + manager_.MarkTaskWaitingForExecution(spec.TaskId(), node_id, worker_id); + + // First, fail the task with WORKER_DIED to consume the normal retry + rpc::RayErrorInfo worker_died_error; + worker_died_error.set_error_type(rpc::ErrorType::WORKER_DIED); + + ASSERT_EQ(num_retries_, 0); + bool will_retry = manager_.RetryTaskIfPossible(spec.TaskId(), worker_died_error); + ASSERT_TRUE(will_retry); // Should retry (consuming the 1 retry) + ASSERT_EQ(num_retries_, 1); // Verify retry was called + + // Reset and mark the task as waiting for execution again for the retry + manager_.MarkDependenciesResolved(spec.TaskId()); + manager_.MarkTaskWaitingForExecution(spec.TaskId(), node_id, worker_id); + + // Mock the GCS client to return the preempted node info + rpc::GcsNodeInfo node_info; + node_info.set_node_id(node_id.Binary()); + node_info.mutable_death_info()->set_reason( + rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED); + EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, Get(node_id, false)) + .WillOnce(::testing::Return(&node_info)); + + // Task should be retried because the node was preempted, even with 0 retries left + rpc::RayErrorInfo node_died_error; + node_died_error.set_error_type(rpc::ErrorType::NODE_DIED); + will_retry = manager_.RetryTaskIfPossible(spec.TaskId(), node_died_error); + ASSERT_TRUE(will_retry); // Should retry despite 0 retries left due to preemption + ASSERT_EQ(num_retries_, 2); // Verify retry was called again + + // Reset the task state to test preemption scenario + manager_.MarkDependenciesResolved(spec.TaskId()); + manager_.MarkTaskWaitingForExecution(spec.TaskId(), node_id, worker_id); + + // Now the task has 0 retries left. Test that normal failure would not retry + will_retry = manager_.RetryTaskIfPossible(spec.TaskId(), worker_died_error); + ASSERT_FALSE(will_retry); // Should NOT retry (no retries left) + ASSERT_EQ(num_retries_, 2); // No additional retry called + + // Cleanup + manager_.FailPendingTask(spec.TaskId(), rpc::ErrorType::WORKER_DIED); +} } // namespace core } // namespace ray diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 0e7decf13818..2235863e0cf5 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -753,11 +753,12 @@ void NodeInfoAccessor::HandleNotification(rpc::GcsNodeInfo &&node_info) { } else { node.set_node_id(node_info.node_id()); node.set_state(rpc::GcsNodeInfo::DEAD); + node.mutable_death_info()->CopyFrom(node_info.death_info()); node.set_end_time_ms(node_info.end_time_ms()); } // If the notification is new, call registered callback. - if (is_notif_new) { + if (is_notif_new && node_change_callback_ != nullptr) { node_change_callback_(node_id, node_cache_[node_id]); } } diff --git a/src/ray/gcs/gcs_client/test/accessor_test.cc b/src/ray/gcs/gcs_client/test/accessor_test.cc index c20e18b8de7e..ff2c8f78e5c5 100644 --- a/src/ray/gcs/gcs_client/test/accessor_test.cc +++ b/src/ray/gcs/gcs_client/test/accessor_test.cc @@ -55,6 +55,33 @@ TEST(NodeInfoAccessorTest, TestHandleNotification) { ASSERT_EQ(num_notifications, 2); } +TEST(NodeInfoAccessorTest, TestHandleNotificationDeathInfo) { + NodeInfoAccessor accessor; + rpc::GcsNodeInfo node_info; + node_info.set_state(rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_DEAD); + NodeID node_id = NodeID::FromRandom(); + node_info.set_node_id(node_id.Binary()); + + auto death_info = node_info.mutable_death_info(); + death_info->set_reason(rpc::NodeDeathInfo::EXPECTED_TERMINATION); + death_info->set_reason_message("Test termination reason"); + + node_info.set_end_time_ms(12345678); + + accessor.HandleNotification(std::move(node_info)); + + auto cached_node = accessor.Get(node_id, false); + ASSERT_NE(cached_node, nullptr); + ASSERT_EQ(cached_node->node_id(), node_id.Binary()); + ASSERT_EQ(cached_node->state(), + rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_DEAD); + + ASSERT_TRUE(cached_node->has_death_info()); + ASSERT_EQ(cached_node->death_info().reason(), rpc::NodeDeathInfo::EXPECTED_TERMINATION); + ASSERT_EQ(cached_node->death_info().reason_message(), "Test termination reason"); + ASSERT_EQ(cached_node->end_time_ms(), 12345678); +} + int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); From 1c23f8a4c6023646e46d7cf4d624977cd7ce8b50 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 1 Aug 2025 14:09:22 -0700 Subject: [PATCH 0445/1566] [wheel] hermetic wheel building (#55091) use bazel run on binary rules to copy output files back to the source directory, this allows bazel to properly calculate the cache hitting on all the genrules. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 15 ++++++++++++++- bazel/BUILD.bazel | 12 +++++++++++- bazel/gen_extract.py | 28 ++++++++++++++++++++++++++++ cpp/BUILD.bazel | 14 +++++++++++++- cpp/gen_ray_cpp_pkg.py | 11 +++++++++++ gen_ray_pkg.py | 13 +++++++++++++ java/BUILD.bazel | 13 +++++++++++++ java/gen_ray_java_pkg.py | 11 +++++++++++ java/test.sh | 17 +++++++++-------- python/setup.py | 16 +++++++++++----- 10 files changed, 134 insertions(+), 16 deletions(-) create mode 100644 bazel/gen_extract.py create mode 100644 cpp/gen_ray_cpp_pkg.py create mode 100644 gen_ray_pkg.py create mode 100644 java/gen_ray_java_pkg.py diff --git a/BUILD.bazel b/BUILD.bazel index 80bb3e80f9b1..804fcd04f9ef 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -16,7 +16,7 @@ load("@rules_cc//cc:defs.bzl", "cc_proto_library") load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto//proto:defs.bzl", "proto_library") -load("@rules_python//python:defs.bzl", "py_library", "py_runtime", "py_runtime_pair") +load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_runtime", "py_runtime_pair") load("//bazel:ray.bzl", "COPTS", "FLATC_ARGS", "PYX_COPTS", "PYX_SRCS", "ray_cc_binary", "ray_cc_library", "ray_cc_test") package( @@ -1224,3 +1224,16 @@ genrule( """, local = 1, ) + +py_binary( + name = "gen_ray_pkg", + srcs = ["gen_ray_pkg.py"], + data = [ + ":ray_pkg_zip", + ":ray_py_proto_zip", + ], + visibility = ["//visibility:private"], + deps = [ + "//bazel:gen_extract", + ], +) diff --git a/bazel/BUILD.bazel b/bazel/BUILD.bazel index 45b4adaf89fa..2e4ce8f51b18 100644 --- a/bazel/BUILD.bazel +++ b/bazel/BUILD.bazel @@ -1,4 +1,5 @@ -load("@rules_python//python:defs.bzl", "py_binary") +load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") +load("@rules_python//python:defs.bzl", "py_binary", "py_library") exports_files([ "pytest_wrapper.py", @@ -10,3 +11,12 @@ py_binary( srcs = ["pyzip.py"], visibility = ["//visibility:public"], ) + +py_library( + name = "gen_extract", + srcs = ["gen_extract.py"], + deps = [ + ci_require("bazel-runfiles"), + ], + visibility = ["//visibility:public"], +) diff --git a/bazel/gen_extract.py b/bazel/gen_extract.py new file mode 100644 index 000000000000..2209f3d32427 --- /dev/null +++ b/bazel/gen_extract.py @@ -0,0 +1,28 @@ +from typing import List, Optional +import os +import shutil +import subprocess + +import runfiles + + +def gen_extract(zip_files: List[str], clear_dir_first: Optional[List[str]] = None): + r = runfiles.Create() + _repo_name = "com_github_ray_project_ray" + + root_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY") + if not root_dir: + raise ValueError("BUILD_WORKSPACE_DIRECTORY not set") + python_dir = os.path.join(root_dir, "python") + + if clear_dir_first: + for d in clear_dir_first: + shutil.rmtree(os.path.join(python_dir, d), ignore_errors=True) + + for zip_file in zip_files: + zip_path = r.Rlocation(_repo_name + "/" + zip_file) + if not zip_path: + raise ValueError(f"Zip file {zip_file} not found") + + # Uses unzip; python zipfile does not restore the file permissions correctly. + subprocess.check_call(["unzip", "-q", "-o", zip_path, "-d", python_dir]) diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index d3499b6216c5..aa9c3cba0395 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -4,7 +4,7 @@ load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_test") load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") -load("@rules_python//python:defs.bzl", "py_test") +load("@rules_python//python:defs.bzl", "py_binary", "py_test") load("//bazel:python.bzl", "py_test_module_list") load("//bazel:ray.bzl", "COPTS") @@ -213,6 +213,18 @@ genrule( visibility = ["//visibility:private"], ) +py_binary( + name = "gen_ray_cpp_pkg", + srcs = ["gen_ray_cpp_pkg.py"], + data = [ + ":ray_cpp_pkg.zip", + ], + visibility = ["//visibility:private"], + deps = [ + "//bazel:gen_extract", + ], +) + # test cc_test( name = "api_test", diff --git a/cpp/gen_ray_cpp_pkg.py b/cpp/gen_ray_cpp_pkg.py new file mode 100644 index 000000000000..4cc69c94d398 --- /dev/null +++ b/cpp/gen_ray_cpp_pkg.py @@ -0,0 +1,11 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + [ + "cpp/ray_cpp_pkg.zip", + ], + clear_dir_first=[ + "ray/cpp", + ], + ) diff --git a/gen_ray_pkg.py b/gen_ray_pkg.py new file mode 100644 index 000000000000..64500b169b1b --- /dev/null +++ b/gen_ray_pkg.py @@ -0,0 +1,13 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + [ + "ray_pkg.zip", + "ray_py_proto.zip", + ], + clear_dir_first=[ + "ray/core/generated", + "ray/serve/generated", + ], + ) diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 8081972d40c7..cce14fa9bfa5 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -9,6 +9,7 @@ load("@rules_java//java:java_test.bzl", "java_test") load("@rules_pkg//pkg:mappings.bzl", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto_grpc//java:defs.bzl", "java_proto_compile") +load("@rules_python//python:defs.bzl", "py_binary") load("//bazel:ray.bzl", "define_java_module", "native_java_library") exports_files([ @@ -499,3 +500,15 @@ genrule( tags = ["no-cache"], visibility = ["//visibility:private"], ) + +py_binary( + name = "gen_ray_java_pkg", + srcs = ["gen_ray_java_pkg.py"], + data = [ + ":ray_java_pkg.zip", + ], + visibility = ["//visibility:private"], + deps = [ + "//bazel:gen_extract", + ], +) diff --git a/java/gen_ray_java_pkg.py b/java/gen_ray_java_pkg.py new file mode 100644 index 000000000000..6f2e99178e06 --- /dev/null +++ b/java/gen_ray_java_pkg.py @@ -0,0 +1,11 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + [ + "java/ray_java_pkg.zip", + ], + clear_dir_first=[ + "ray/jars", + ], + ) diff --git a/java/test.sh b/java/test.sh index f4e4df47fcd5..3249d3e8753c 100755 --- a/java/test.sh +++ b/java/test.sh @@ -8,14 +8,6 @@ set -x ROOT_DIR=$(cd "$(dirname "${BASH_SOURCE:-$0}")"; pwd) java -version -pushd "$ROOT_DIR" - echo "Check java code format." - # check google java style - mvn -T16 spotless:check - # check naming and others - mvn -T16 checkstyle:check -popd - run_testng() { local pid local exit_code @@ -79,6 +71,15 @@ bazel build //java:gen_maven_deps echo "Build test jar." bazel build //java:all_tests_shaded.jar +( + cd "$ROOT_DIR" + echo "Check java code format." + # check google java style + mvn -T16 spotless:check + # check naming and others + mvn -T16 checkstyle:check +) + java/generate_jni_header_files.sh if ! git diff --exit-code -- java src/ray/core_worker/lib/java; then diff --git a/python/setup.py b/python/setup.py index 18eb95a7c0db..3efa8e5b5769 100644 --- a/python/setup.py +++ b/python/setup.py @@ -629,13 +629,12 @@ def build(build_python, build_java, build_cpp): # # And we put it here so that does not change behavior of # conda-forge build. - if sys.platform != "darwin": # TODO(aslonnie): does not work on macOS.. - bazel_flags.append("--incompatible_strict_action_env") + bazel_flags.append("--incompatible_strict_action_env") bazel_targets = [] - bazel_targets += ["//:ray_pkg"] if build_python else [] - bazel_targets += ["//cpp:ray_cpp_pkg"] if build_cpp else [] - bazel_targets += ["//java:ray_java_pkg"] if build_java else [] + bazel_targets += ["//:gen_ray_pkg"] if build_python else [] + bazel_targets += ["//cpp:gen_ray_cpp_pkg"] if build_cpp else [] + bazel_targets += ["//java:gen_ray_java_pkg"] if build_java else [] if setup_spec.build_type == BuildType.DEBUG: bazel_flags.append("--config=debug") @@ -645,6 +644,7 @@ def build(build_python, build_java, build_cpp): bazel_flags.append("--config=tsan") bazel_bin = _find_bazel_bin() + # Build all things first. subprocess.check_call( [bazel_bin] + bazel_precmd_flags @@ -654,6 +654,12 @@ def build(build_python, build_java, build_cpp): + bazel_targets, env=bazel_env, ) + # Then run the actions. + for action in bazel_targets: + subprocess.check_call( + [bazel_bin] + bazel_precmd_flags + ["run"] + bazel_flags + [action], + env=bazel_env, + ) def _walk_thirdparty_dir(directory): From e1d50223b6da6dd567d46de1e4e6ad9c69698ef7 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 1 Aug 2025 14:11:06 -0700 Subject: [PATCH 0446/1566] [llm] use g6 instances to run gpu llm tests (#54913) this will make some tests passing. also disable test db for all llm gpu tests. --------- Signed-off-by: Lonnie Liu Signed-off-by: Seiji Eicher Co-authored-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .buildkite/llm.rayci.yml | 4 +-- python/ray/llm/tests/BUILD | 6 +++- .../gpu/stages/test_vllm_engine_stage.py | 30 ++++++++++++------- 3 files changed, 27 insertions(+), 13 deletions(-) diff --git a/.buildkite/llm.rayci.yml b/.buildkite/llm.rayci.yml index 8b0c3727fece..aed4f7084c0c 100644 --- a/.buildkite/llm.rayci.yml +++ b/.buildkite/llm.rayci.yml @@ -40,8 +40,8 @@ steps: - python - llm - gpu - instance_type: gpu-large + instance_type: g6-large commands: - - bazel run //ci/ray_ci:test_in_docker -- //python/ray/llm/... //doc/source/llm/... llm + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //python/ray/llm/... //doc/source/llm/... llm --build-name llmgpubuild --only-tags gpu depends_on: llmgpubuild diff --git a/python/ray/llm/tests/BUILD b/python/ray/llm/tests/BUILD index e40addace3f4..f4dcb3604e51 100644 --- a/python/ray/llm/tests/BUILD +++ b/python/ray/llm/tests/BUILD @@ -41,7 +41,11 @@ py_test_module_list( env = { "VLLM_FLASH_ATTN_VERSION": "2", }, - files = glob(["batch/gpu/**/test_*.py"]), + files = glob( + ["batch/gpu/**/test_*.py"], + # TODO(ray-llm): fix this test: https://github.com/ray-project/ray/issues/52074 + exclude = ["batch/gpu/processor/test_vllm_engine_proc.py"], + ), tags = [ "exclusive", "gpu", diff --git a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py index 88f91edca432..8e165fadbb7e 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py @@ -70,7 +70,7 @@ def test_vllm_engine_stage_post_init(gpu_type, model_llama_3_2_216M): fn_constructor_kwargs=dict( model=model_llama_3_2_216M, engine_kwargs=dict( - tensor_parallel_size=4, + tensor_parallel_size=2, pipeline_parallel_size=2, distributed_executor_backend="ray", ), @@ -90,7 +90,7 @@ def test_vllm_engine_stage_post_init(gpu_type, model_llama_3_2_216M): "task_type": vLLMTaskType.GENERATE, "max_pending_requests": 10, "engine_kwargs": { - "tensor_parallel_size": 4, + "tensor_parallel_size": 2, "pipeline_parallel_size": 2, "distributed_executor_backend": "ray", }, @@ -107,7 +107,7 @@ def test_vllm_engine_stage_post_init(gpu_type, model_llama_3_2_216M): assert isinstance(scheduling_strategy, PlacementGroupSchedulingStrategy) bundle_specs = scheduling_strategy.placement_group.bundle_specs - assert len(bundle_specs) == 8 + assert len(bundle_specs) == 4 for bundle_spec in bundle_specs: assert bundle_spec[f"accelerator_type:{gpu_type}"] == 0.001 assert bundle_spec["CPU"] == 1.0 @@ -250,6 +250,9 @@ async def mock_generate(request): or mock_generate_async_v1.call_count == 10 ) + # Clean up GPU memory + wrapper.shutdown() + @pytest.mark.asyncio async def test_vllm_wrapper_generate(model_llama_3_2_216M): @@ -300,6 +303,9 @@ async def test_vllm_wrapper_generate(model_llama_3_2_216M): max_tokens = params.max_tokens assert max_tokens == output["num_generated_tokens"] + # Clean up GPU memory + wrapper.shutdown() + @pytest.mark.asyncio async def test_vllm_wrapper_embed(model_opt_125m): @@ -329,6 +335,9 @@ async def test_vllm_wrapper_embed(model_opt_125m): _, output = await resp assert output["embeddings"].shape == (768,) + # Clean up GPU memory + wrapper.shutdown() + @pytest.mark.asyncio async def test_vllm_wrapper_lora(model_llama_3_2_216M, model_llama_3_2_216M_lora): @@ -340,11 +349,8 @@ async def test_vllm_wrapper_lora(model_llama_3_2_216M, model_llama_3_2_216M_lora max_pending_requests=10, # Skip CUDA graph capturing to reduce the start time. enforce_eager=True, - gpu_memory_utilization=0.8, task=vLLMTaskType.GENERATE, max_model_len=2048, - # Older GPUs (e.g. T4) don't support bfloat16. - dtype="half", enable_lora=True, max_lora_rank=16, ) @@ -379,6 +385,9 @@ async def test_vllm_wrapper_lora(model_llama_3_2_216M, model_llama_3_2_216M_lora max_tokens = params.max_tokens assert max_tokens == output["num_generated_tokens"] + # Clean up GPU memory + wrapper.shutdown() + @pytest.mark.asyncio async def test_vllm_wrapper_json(model_llama_3_2_1B_instruct): @@ -400,18 +409,16 @@ class AnswerModel(BaseModel): max_pending_requests=10, # Skip CUDA graph capturing to reduce the start time. enforce_eager=True, - gpu_memory_utilization=0.8, task=vLLMTaskType.GENERATE, max_model_len=2048, guided_decoding_backend="xgrammar", - # Older GPUs (e.g. T4) don't support bfloat16. - dtype="half", + seed=42, ) batch = [ { "__idx_in_batch": 0, - "prompt": "Answer 2 ** 3 + 5 with a detailed explanation in JSON.", + "prompt": "Answer 2 ** 3 + 5. Return the answer in JSON. Expected fields: 'answer', 'explain'.", "sampling_params": { "max_tokens": 100, "temperature": 0.7, @@ -430,6 +437,9 @@ class AnswerModel(BaseModel): assert "explain" in json_obj assert isinstance(json_obj["explain"], str) + # Clean up GPU memory + wrapper.shutdown() + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 12f2413d2b4890bdd349e2e32c4b049137d22897 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Fri, 1 Aug 2025 14:23:43 -0700 Subject: [PATCH 0447/1566] [Data] For overwrite mode, map to the right arrow behavior to account for parallel writes (#55118) ## Why are these changes needed? The save_mode for `write_parquet` was mapped to pyarrow's `delete_matching` instead of `overwrite_or_ignore` which affected parallel writes. ## Related issue number Closes #55043 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- .../_internal/datasource/parquet_datasink.py | 2 +- python/ray/data/tests/test_parquet.py | 38 +++++++++++++++++++ 2 files changed, 39 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasink.py b/python/ray/data/_internal/datasource/parquet_datasink.py index 333def302063..4f9ceea597a4 100644 --- a/python/ray/data/_internal/datasource/parquet_datasink.py +++ b/python/ray/data/_internal/datasource/parquet_datasink.py @@ -22,7 +22,7 @@ # Docs: https://arrow.apache.org/docs/python/generated/pyarrow.dataset.write_dataset.html EXISTING_DATA_BEHAVIOR_MAP = { SaveMode.APPEND: "overwrite_or_ignore", - SaveMode.OVERWRITE: "delete_matching", + SaveMode.OVERWRITE: "overwrite_or_ignore", # delete_matching is not a suitable choice for parallel writes. SaveMode.IGNORE: "overwrite_or_ignore", SaveMode.ERROR: "error", } diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index e557337987b3..dd43f22e1ee2 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -2185,6 +2185,44 @@ def test_read_parquet_with_zero_row_groups(shutdown_only, tmp_path): assert dataset.count() == 0 +@pytest.mark.parametrize( + "partition_info", + [ + {"partition_cols": None, "output_dir": "test_output"}, + { + "partition_cols": ["id_mod"], + "output_dir": "test_output_partitioned", + }, + ], + ids=["no_partitioning", "with_partitioning"], +) +def test_parquet_write_parallel_overwrite( + ray_start_regular_shared, tmp_path, partition_info +): + """Test parallel Parquet write with overwrite mode.""" + + partition_cols = partition_info["partition_cols"] + output_dir = partition_info["output_dir"] + + # Create dataset with 1000 rows + df_data = {"id": range(1000), "value": [f"value_{i}" for i in range(1000)]} + if partition_cols: + df_data["id_mod"] = [i % 10 for i in range(1000)] # 10 partitions + df = pd.DataFrame(df_data) + ds = ray.data.from_pandas(df) + + # Repartition to ensure multiple write tasks + ds = ds.repartition(10) + + # Write with overwrite mode + path = os.path.join(tmp_path, output_dir) + ds.write_parquet(path, mode="overwrite", partition_cols=partition_cols) + + # Read back and verify + result = ray.data.read_parquet(path) + assert result.count() == 1000 + + if __name__ == "__main__": import sys From 1161ce3fd4e50a71e53ffc667481e39a2b91ff0c Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Fri, 1 Aug 2025 16:21:39 -0700 Subject: [PATCH 0448/1566] [CI] Fix spot preemption simulation in release tests (#55153) ## Why are these changes needed? This PR updates our spot preemption simulation to use `ray stop --force` instead of terminating the instance after calling the drain API. We use Anyscale to run the Ray release tests. The issue is that Anyscale extends the drain deadline when we manually terminate instances, and this results in incorrect drain deadlines. By stopping Ray directly, Anyscale should terminate the node shortly after without extending the deadline. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 26 ++++++++++++++++++++------ 1 file changed, 20 insertions(+), 6 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index 8117338d99b1..8e7e5a07a38b 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -1464,7 +1464,11 @@ def _kill_resource(self, node_id, node_to_kill_ip, _): def _kill_node_with_grace_period(node_id, node_to_kill_ip): self._drain_node(node_id) time.sleep(self._grace_period_s) - _terminate_ec2_instance(node_to_kill_ip) + # Anyscale extends the drain deadline if you shut down the instance + # directly. To work around this, we force-stop Ray on the node. Anyscale + # should then terminate it shortly after without updating the drain + # deadline. + _execute_command_on_node("ray stop --force", node_to_kill_ip) logger.info(f"Starting killing thread {node_id=}, {node_to_kill_ip=}") thread = threading.Thread( @@ -1974,19 +1978,29 @@ def reset_autoscaler_v2_enabled_cache(): u.cached_is_autoscaler_v2 = None -def _terminate_ec2_instance(ip): - logging.info(f"Terminating instance, {ip=}") +def _terminate_ec2_instance(node_ip: str) -> None: + logging.info(f"Terminating instance {node_ip}") # This command uses IMDSv2 to get the host instance id and region. # After that it terminates itself using aws cli. - multi_line_command = ( - 'TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600");' # noqa: E501 + command = ( 'instanceId=$(curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/instance-id/);' # noqa: E501 'region=$(curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/placement/region);' # noqa: E501 "aws ec2 terminate-instances --region $region --instance-ids $instanceId" # noqa: E501 ) + _execute_command_on_node(command, node_ip) + + +def _execute_command_on_node(command: str, node_ip: str): + logging.debug(f"Executing command on node {node_ip}: {command}") + + multi_line_command = ( + 'TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600");' # noqa: E501 + f"{command}" + ) + # This is a feature on Anyscale platform that enables # easy ssh access to worker nodes. - ssh_command = f"ssh -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null -p 2222 ray@{ip} '{multi_line_command}'" # noqa: E501 + ssh_command = f"ssh -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null -p 2222 ray@{node_ip} '{multi_line_command}'" # noqa: E501 try: subprocess.run( From 04b068f61a50d0bf3c886a32fea3dce45fa3dff5 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 1 Aug 2025 18:22:56 -0700 Subject: [PATCH 0449/1566] [data][dashboard] Add Max Bytes to Read Panel + budget (#55024) ## Why are these changes needed? max_bytes_to_read ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Balaji Veeramani Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 1 + .../dashboards/data_dashboard_panels.py | 70 +++++++++++++++++ .../_internal/execution/streaming_executor.py | 78 ++++++++++++++++++- .../execution/streaming_executor_state.py | 4 +- 4 files changed, 148 insertions(+), 5 deletions(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 870a4cbec02d..f692cfbe2ef4 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -41,6 +41,7 @@ # Ray data. /python/ray/data/ @ray-project/ray-data /doc/source/data/ @ray-project/ray-data +/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @ray-project/ray-data # Ray workflows. /python/ray/workflow/ @ray-project/ray-core diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index cee6c99ae958..47c52d65c57d 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -110,6 +110,20 @@ fill=0, stack=False, ), + Panel( + id=55, + title="Max Bytes to Read", + description="Maximum bytes to read from streaming generator buffer.", + unit="bytes", + targets=[ + Target( + expr="sum(ray_data_max_bytes_to_read{{{global_filters}}}) by (dataset, operator)", + legend="Max Bytes to Read: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), Panel( id=11, title="Rows Output / Second", @@ -701,6 +715,62 @@ fill=0, stack=False, ), + Panel( + id=51, + title="Budget (CPU)", + description=("Budget (CPU) for the operator."), + unit="cpu", + targets=[ + Target( + expr="sum(ray_data_cpu_budget{{{global_filters}}}) by (dataset, operator)", + legend="Budget (CPU): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), + Panel( + id=52, + title="Budget (GPU)", + description=("Budget (GPU) for the operator."), + unit="gpu", + targets=[ + Target( + expr="sum(ray_data_gpu_budget{{{global_filters}}}) by (dataset, operator)", + legend="Budget (GPU): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), + Panel( + id=53, + title="Budget (Memory)", + description=("Budget (Memory) for the operator."), + unit="bytes", + targets=[ + Target( + expr="sum(ray_data_memory_budget{{{global_filters}}}) by (dataset, operator)", + legend="Budget (Memory): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), + Panel( + id=54, + title="Budget (Object Store Memory)", + description=("Budget (Object Store Memory) for the operator."), + unit="bytes", + targets=[ + Target( + expr="sum(ray_data_object_store_memory_budget{{{global_filters}}}) by (dataset, operator)", + legend="Budget (Object Store Memory): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), ] ids = [] diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index e594d4a96351..6806c69bdd9d 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -1,4 +1,5 @@ import logging +import math import threading import time from typing import Dict, List, Optional, Tuple @@ -17,7 +18,10 @@ RefBundle, ) from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer -from ray.data._internal.execution.resource_manager import ResourceManager +from ray.data._internal.execution.resource_manager import ( + ReservationOpResourceAllocator, + ResourceManager, +) from ray.data._internal.execution.streaming_executor_state import ( OpState, Topology, @@ -100,6 +104,32 @@ def __init__( tag_keys=("dataset",), ) + self._cpu_budget_gauge: Gauge = Gauge( + "data_cpu_budget", + "Budget (CPU) per operator", + tag_keys=("dataset", "operator"), + ) + self._gpu_budget_gauge: Gauge = Gauge( + "data_gpu_budget", + "Budget (GPU) per operator", + tag_keys=("dataset", "operator"), + ) + self._memory_budget_gauge: Gauge = Gauge( + "data_memory_budget", + "Budget (Memory) per operator", + tag_keys=("dataset", "operator"), + ) + self._osm_budget_gauge: Gauge = Gauge( + "data_object_store_memory_budget", + "Budget (Object Store Memory) per operator", + tag_keys=("dataset", "operator"), + ) + self._max_bytes_to_read_gauge: Gauge = Gauge( + "data_max_bytes_to_read", + description="Maximum bytes to read from streaming generator buffer.", + tag_keys=("dataset", "operator"), + ) + Executor.__init__(self, self._data_context.execution_options) thread_name = f"StreamingExecutor-{self._dataset_id}" threading.Thread.__init__(self, daemon=True, name=thread_name) @@ -294,9 +324,7 @@ def run(self): sched_loop_duration = time.perf_counter() - t_start - self._sched_loop_duration_s.set( - sched_loop_duration, tags={"dataset": self._dataset_id} - ) + self.update_metrics(sched_loop_duration) if self._initial_stats: self._initial_stats.streaming_exec_schedule_s.add( sched_loop_duration @@ -314,6 +342,48 @@ def run(self): _, state = self._output_node state.mark_finished(exc) + def update_metrics(self, sched_loop_duration: int): + self._sched_loop_duration_s.set( + sched_loop_duration, tags={"dataset": self._dataset_id} + ) + for i, op in enumerate(self._topology): + tags = { + "dataset": self._dataset_id, + "operator": self._get_operator_id(op, i), + } + self._update_budget_metrics(op, tags) + self._update_max_bytes_to_read_metric(op, tags) + + def _update_budget_metrics(self, op: PhysicalOperator, tags: Dict[str, str]): + budget = self._resource_manager.get_budget(op) + if budget is not None: + # Convert inf to -1 to represent unlimited budget in metrics + cpu_budget = -1 if math.isinf(budget.cpu) else budget.cpu + gpu_budget = -1 if math.isinf(budget.gpu) else budget.gpu + memory_budget = -1 if math.isinf(budget.memory) else budget.memory + object_store_memory_budget = ( + -1 + if math.isinf(budget.object_store_memory) + else budget.object_store_memory + ) + self._cpu_budget_gauge.set(cpu_budget, tags=tags) + self._gpu_budget_gauge.set(gpu_budget, tags=tags) + self._memory_budget_gauge.set(memory_budget, tags=tags) + self._osm_budget_gauge.set(object_store_memory_budget, tags=tags) + + def _update_max_bytes_to_read_metric( + self, op: PhysicalOperator, tags: Dict[str, str] + ): + if self._resource_manager.op_resource_allocator_enabled(): + ora = self._resource_manager.op_resource_allocator + assert isinstance(ora, ReservationOpResourceAllocator) + if op in ora._output_budgets: + max_bytes_to_read = ora._output_budgets[op] + if math.isinf(max_bytes_to_read): + # Convert inf to -1 to represent unlimited bytes to read + max_bytes_to_read = -1 + self._max_bytes_to_read_gauge.set(max_bytes_to_read, tags) + def get_stats(self): """Return the stats object for the streaming execution. diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 598252d5693b..6475b0b72631 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -33,7 +33,9 @@ HashShuffleProgressBarMixin, ) from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer -from ray.data._internal.execution.resource_manager import ResourceManager +from ray.data._internal.execution.resource_manager import ( + ResourceManager, +) from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.util import ( unify_schemas_with_validation, From a082cb5ca7c47c1286fa8f94e3cdd18c1114c101 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 1 Aug 2025 22:26:22 -0700 Subject: [PATCH 0450/1566] [wheel] use minimal remote download (#55116) download fewer things when cache hit, and speeds up the building process a little bit. --------- Signed-off-by: Lonnie Liu Signed-off-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/setup.py b/python/setup.py index 3efa8e5b5769..cfd92c1fb2ef 100644 --- a/python/setup.py +++ b/python/setup.py @@ -630,6 +630,7 @@ def build(build_python, build_java, build_cpp): # And we put it here so that does not change behavior of # conda-forge build. bazel_flags.append("--incompatible_strict_action_env") + bazel_flags.append("--remote_download_minimal") bazel_targets = [] bazel_targets += ["//:gen_ray_pkg"] if build_python else [] From 429fe73c598d283c68a73eeef9f04dcee8ea64d0 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 2 Aug 2025 00:10:32 -0700 Subject: [PATCH 0451/1566] [wheel] fix macos wheel building with strict actions (#55165) macos does not have `python` from the systems by default, but has `python3`. as a result, we need to patch `cpython.py` to use python3. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/ray_deps_setup.bzl | 9 +++++++++ thirdparty/patches/cython.patch | 10 ++++++++++ 2 files changed, 19 insertions(+) create mode 100644 thirdparty/patches/cython.patch diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index 0637dcb6e7e1..eab9d0246a20 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -202,6 +202,15 @@ def ray_deps_setup(): build_file = True, url = "https://github.com/cython/cython/archive/refs/tags/3.0.12.tar.gz", sha256 = "a156fff948c2013f2c8c398612c018e2b52314fdf0228af8fbdb5585e13699c2", + patches = [ + # Use python3 rather than python. macos does not have python installed + # by default, and hermetic strict action does not work as python cannot + # be found under /usr/bin or any systeme PATH in bazel sandbox. + # + # This patch can be removed after the following change is included. + # https://github.com/cython/cython/pull/7053 + "//thirdparty/patches:cython.patch", + ], ) auto_http_archive( diff --git a/thirdparty/patches/cython.patch b/thirdparty/patches/cython.patch new file mode 100644 index 000000000000..2c75bd537fd4 --- /dev/null +++ b/thirdparty/patches/cython.patch @@ -0,0 +1,10 @@ +diff --git cython.py cython.py +index 9283c4d..cae9864 100755 +--- cython.py ++++ cython.py +@@ -1,4 +1,4 @@ +-#!/usr/bin/env python ++#!/usr/bin/env python3 + + # + # Cython -- Main Program, generic From bf039740d455b4e6011ea5b589e805d13c837abf Mon Sep 17 00:00:00 2001 From: lkchen Date: Sat, 2 Aug 2025 10:35:45 -0700 Subject: [PATCH 0452/1566] [Data][LLM] Fix broken processor/test_vllm_engine_proc.py test (#55120) Test was broken on master for a while (due to lack of L4 GPU instances, since vLLM certain version A10G is no longer supported) We need to update test model as opt-125m is [lacking chat template](https://huggingface.co/facebook/opt-125m/discussions/45#688c0d53b176681d5e69522d) https://anyscale1.atlassian.net/browse/LLM-2273 --------- Signed-off-by: Linkun Chen Signed-off-by: Douglas Strodtman --- .../_internal/batch/stages/chat_template_stage.py | 12 ++++++++---- python/ray/llm/tests/BUILD | 6 +----- .../batch/gpu/processor/test_vllm_engine_proc.py | 6 +++--- 3 files changed, 12 insertions(+), 12 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/chat_template_stage.py b/python/ray/llm/_internal/batch/stages/chat_template_stage.py index 7fa3322f4b37..c2df95ac4254 100644 --- a/python/ray/llm/_internal/batch/stages/chat_template_stage.py +++ b/python/ray/llm/_internal/batch/stages/chat_template_stage.py @@ -1,6 +1,6 @@ """Apply chat template stage""" -from typing import Any, AsyncIterator, Dict, List, Optional, Type +from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Optional, Type, Union from ray.llm._internal.batch.stages.base import ( StatefulStage, @@ -45,9 +45,13 @@ def __init__( download_model=NodeModelDownloadable.TOKENIZER_ONLY, download_extra_files=False, ) - self.processor = AutoProcessor.from_pretrained( - model_path, trust_remote_code=True - ) + if TYPE_CHECKING: + from transformers.processing_utils import ProcessorMixin + from transformers.tokenization_utils_base import PreTrainedTokenizerBase + + self.processor: Union[ + "PreTrainedTokenizerBase", "ProcessorMixin" + ] = AutoProcessor.from_pretrained(model_path, trust_remote_code=True) self.chat_template = chat_template async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any]]: diff --git a/python/ray/llm/tests/BUILD b/python/ray/llm/tests/BUILD index f4dcb3604e51..e40addace3f4 100644 --- a/python/ray/llm/tests/BUILD +++ b/python/ray/llm/tests/BUILD @@ -41,11 +41,7 @@ py_test_module_list( env = { "VLLM_FLASH_ATTN_VERSION": "2", }, - files = glob( - ["batch/gpu/**/test_*.py"], - # TODO(ray-llm): fix this test: https://github.com/ray-project/ray/issues/52074 - exclude = ["batch/gpu/processor/test_vllm_engine_proc.py"], - ), + files = glob(["batch/gpu/**/test_*.py"]), tags = [ "exclusive", "gpu", diff --git a/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py b/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py index 88b2731fb468..c8b76fad9250 100644 --- a/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py +++ b/python/ray/llm/tests/batch/gpu/processor/test_vllm_engine_proc.py @@ -136,9 +136,9 @@ def test_generation_model(gpu_type, model_opt_125m): assert all("resp" in out for out in outs) -def test_embedding_model(gpu_type, model_opt_125m): +def test_embedding_model(gpu_type, model_smolvlm_256m): processor_config = vLLMEngineProcessorConfig( - model_source=model_opt_125m, + model_source=model_smolvlm_256m, task_type="embed", engine_kwargs=dict( enable_prefix_caching=False, @@ -151,7 +151,7 @@ def test_embedding_model(gpu_type, model_opt_125m): accelerator_type=gpu_type, concurrency=1, apply_chat_template=True, - chat_template="", + chat_template=None, tokenize=True, detokenize=False, ) From 3c00e5c86c234e8bbba05b1842ae225d42fc77cb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 2 Aug 2025 23:59:30 -0700 Subject: [PATCH 0453/1566] [wheel] revert back cython build rule hack (#55175) so that cython is a hermetic `py_binary` reverts the change from https://github.com/ray-project/ray/pull/4334 this makes the wheel build on all platforms Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/cython.BUILD | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/bazel/cython.BUILD b/bazel/cython.BUILD index 220eea983f26..c40a733d052c 100644 --- a/bazel/cython.BUILD +++ b/bazel/cython.BUILD @@ -20,9 +20,11 @@ py_library( ) # May not be named "cython", since that conflicts with Cython/ on OSX -filegroup( +py_binary( name="cython_binary", srcs=["cython.py"], + main="cython.py", + srcs_version="PY2AND3", visibility=["//visibility:public"], - data=["cython_lib"], + deps=["cython_lib"], ) From 176566ec311d5cd41822c2cdcc2d51a0383b74ec Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Sun, 3 Aug 2025 15:10:10 -0500 Subject: [PATCH 0454/1566] [core] Move RPC-related build targets out of the global `BUILD` file (#55149) Previously, we had all of the RPC-related targets in the global build file. This PR is a first step towards cleaning this up: I've moved most of the targets to the `src/ray/rpc` subpackage. The `cc_grpc_library` targets have been moved to `src/ray/protobuf` because they need to be in the same subtree as the `proto_library` targets they depend on. I've also made it possible to override our existing public visibility default. We should incrementally override this and then remove the defaulting. After this, I plan to: - Vanquish the `grpc_common_lib` behemoth. - Split out the client & server targets for each RPC library (they are bundled today, which makes no sense). - Remove some redundant dependencies (passing both the `proto_library` and the `cc_grpc_library`). - ??? - Profit! --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 377 +----------------- bazel/ray.bzl | 4 +- src/ray/common/test/BUILD.bazel | 4 +- src/ray/core_worker/BUILD.bazel | 46 +-- src/ray/core_worker/test/BUILD.bazel | 8 +- src/ray/gcs/BUILD.bazel | 2 +- src/ray/gcs/gcs_client/BUILD.bazel | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 22 +- src/ray/gcs/gcs_server/test/BUILD.bazel | 1 + src/ray/gcs/pubsub/BUILD.bazel | 2 +- src/ray/gcs/test/BUILD.bazel | 2 +- src/ray/object_manager/BUILD.bazel | 10 +- src/ray/protobuf/BUILD.bazel | 73 +++- src/ray/pubsub/BUILD.bazel | 15 +- src/ray/raylet/scheduling/BUILD.bazel | 2 +- src/ray/raylet_client/BUILD.bazel | 2 +- src/ray/rpc/BUILD.bazel | 228 +++++++++++ src/ray/rpc/test/BUILD | 42 ++ .../test/core_worker_client_pool_test.cc | 0 src/ray/rpc/test/grpc_bench/BUILD.bazel | 2 +- src/ray/rpc/test/grpc_bench/grpc_bench.cc | 2 +- src/ray/stats/BUILD.bazel | 2 +- 22 files changed, 413 insertions(+), 435 deletions(-) create mode 100644 src/ray/rpc/BUILD.bazel create mode 100644 src/ray/rpc/test/BUILD rename src/ray/rpc/{worker => }/test/core_worker_client_pool_test.cc (100%) diff --git a/BUILD.bazel b/BUILD.bazel index 804fcd04f9ef..9700ad75188d 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -109,325 +109,6 @@ refresh_compile_commands( }, ) -# === Begin of rpc definitions === -# GRPC common lib. -ray_cc_library( - name = "grpc_common_base", - srcs = ["src/ray/rpc/common.cc"], - hdrs = ["src/ray/rpc/common.h"], -) - -ray_cc_library( - name = "rpc_chaos", - srcs = ["src/ray/rpc/rpc_chaos.cc"], - hdrs = ["src/ray/rpc/rpc_chaos.h"], - deps = [ - "//src/ray/common:ray_config", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "rpc_client_call", - hdrs = ["src/ray/rpc/client_call.h"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:grpc_util", - "//src/ray/common:id", - "//src/ray/common:status", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "grpc_client", - hdrs = ["src/ray/rpc/grpc_client.h"], - deps = [ - ":grpc_common_base", - ":rpc_chaos", - ":rpc_client_call", - "//src/ray/common:grpc_util", - "//src/ray/common:ray_config", - "//src/ray/common:status", - ], -) - -ray_cc_library( - name = "rpc_server_call", - srcs = ["src/ray/rpc/server_call.cc"], - hdrs = ["src/ray/rpc/server_call.h"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:grpc_util", - "//src/ray/common:id", - "//src/ray/common:ray_config", - "//src/ray/common:status", - "//src/ray/stats:stats_metric", - "@com_github_grpc_grpc//:grpc++", - ], -) - -ray_cc_library( - name = "retryable_grpc_client", - srcs = ["src/ray/rpc/retryable_grpc_client.cc"], - hdrs = ["src/ray/rpc/retryable_grpc_client.h"], - deps = [ - ":grpc_client", - ":rpc_client_call", - "@com_google_absl//absl/container:btree", - "@com_google_absl//absl/strings:str_format", - "@com_google_absl//absl/time", - ], -) - -ray_cc_library( - name = "metrics_agent_client", - hdrs = ["src/ray/rpc/metrics_agent_client.h"], - deps = [ - ":grpc_client", - "//src/ray/protobuf:reporter_cc_proto", - "//src/ray/util:logging", - "@com_github_grpc_grpc//:grpc++", - ], -) - -ray_cc_library( - name = "event_aggregator_client", - hdrs = ["src/ray/rpc/event_aggregator_client.h"], - deps = [ - ":event_aggregator_cc_rpc", - ":grpc_client", - "//src/ray/common:status", - "//src/ray/protobuf:events_event_aggregator_service_cc_proto", - "//src/ray/util:logging", - "@com_github_grpc_grpc//:grpc++", - ], -) - -ray_cc_library( - name = "grpc_server", - srcs = ["src/ray/rpc/grpc_server.cc"], - hdrs = ["src/ray/rpc/grpc_server.h"], - deps = [ - ":grpc_common_base", - ":rpc_server_call", - "//src/ray/common:asio", - "//src/ray/common:ray_config", - "//src/ray/common:status", - "//src/ray/util:thread_utils", - "@com_github_grpc_grpc//:grpc++", - "@com_github_grpc_grpc//:grpc++_reflection", - "@com_github_grpc_grpc//:grpcpp_admin", - ], -) - -ray_cc_library( - name = "grpc_common_lib", - # TODO(core): Both two header files are not needed, keep them there because of circular dependency between raylet and node rpc. - hdrs = [ - "//src/ray/raylet_client:raylet_client.h", - "//src/ray/raylet_client:raylet_connection.h", - ], - # TODO(core): These three dependencies come from raylet client, should be able to remove after we split node rpc and raylet client into smaller targets. - deps = [ - "//src/ray/common:network", - "//src/ray/common:ray_object", - "//src/ray/common:task_common", - ] + [ - ":event_aggregator_client", - ":grpc_client", - ":grpc_common_base", - ":grpc_server", - ":metrics_agent_client", - ":retryable_grpc_client", - ":rpc_chaos", - ":rpc_server_call", - ], -) - -# Node manager gRPC lib. -cc_grpc_library( - name = "node_manager_cc_grpc", - srcs = ["//src/ray/protobuf:node_manager_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:node_manager_cc_proto"], -) - -# Node manager server and client. -ray_cc_library( - name = "node_manager_rpc", - srcs = ["src/ray/rpc/node_manager/raylet_client_pool.cc"], - hdrs = [ - "src/ray/rpc/node_manager/node_manager_client.h", - "src/ray/rpc/node_manager/node_manager_server.h", - "src/ray/rpc/node_manager/raylet_client_pool.h", - ], - deps = [ - ":grpc_common_lib", - ":node_manager_cc_grpc", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:status", - "@com_github_grpc_grpc//:grpc++", - ], -) - -# gcs_service gRPC lib. -cc_grpc_library( - name = "gcs_service_cc_grpc", - srcs = ["//src/ray/protobuf:gcs_service_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:gcs_service_cc_proto"], -) - -# gcs_service gRPC lib. -cc_grpc_library( - name = "test_service_cc_grpc", - srcs = ["//src/ray/protobuf:test_service_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:test_service_cc_proto"], -) - -# gcs rpc server and client. -ray_cc_library( - name = "gcs_service_rpc", - hdrs = [ - "src/ray/rpc/gcs_server/gcs_rpc_client.h", - "src/ray/rpc/gcs_server/gcs_rpc_server.h", - ], - deps = [ - ":autoscaler_cc_grpc", - ":gcs_service_cc_grpc", - ":grpc_common_lib", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/pubsub:pubsub_lib", - "@boost//:asio", - "@com_github_grpc_grpc//:grpc++", - "@com_google_absl//absl/container:btree", - ], -) - -# Object manager gRPC lib. -cc_grpc_library( - name = "object_manager_cc_grpc", - srcs = ["//src/ray/protobuf:object_manager_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:object_manager_cc_proto"], -) - -# Object manager rpc server and client. -ray_cc_library( - name = "object_manager_rpc", - hdrs = [ - "src/ray/rpc/object_manager/object_manager_client.h", - "src/ray/rpc/object_manager/object_manager_server.h", - ], - deps = [ - ":grpc_common_lib", - ":object_manager_cc_grpc", - "//src/ray/common:asio", - "//src/ray/common:status", - "//src/ray/object_manager:object_manager_grpc_client_manager", - "@boost//:asio", - "@com_github_grpc_grpc//:grpc++", - ], -) - -# Worker gRPC lib. -cc_grpc_library( - name = "worker_cc_grpc", - srcs = ["//src/ray/protobuf:core_worker_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:worker_cc_proto"], -) - -# worker server and client. -ray_cc_library( - name = "worker_rpc", - srcs = [ - "src/ray/rpc/worker/core_worker_client.cc", - "src/ray/rpc/worker/core_worker_client_pool.cc", - ], - hdrs = [ - "src/ray/rpc/worker/core_worker_client.h", - "src/ray/rpc/worker/core_worker_client_pool.h", - "src/ray/rpc/worker/core_worker_server.h", - ], - deps = [ - ":grpc_common_lib", - ":worker_cc_grpc", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/pubsub:pubsub_lib", - "//src/ray/raylet_client:raylet_client_lib", - "@com_github_grpc_grpc//:grpc++", - ], -) - -# Metrics Agent gRPC lib. -cc_grpc_library( - name = "reporter_cc_grpc", - srcs = ["//src/ray/protobuf:reporter_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:reporter_cc_proto"], -) - -# Metrics Agent client. -ray_cc_library( - name = "reporter_rpc", - hdrs = [ - "src/ray/rpc/metrics_agent_client.h", - ], - deps = [ - ":grpc_common_lib", - ":reporter_cc_grpc", - "//src/ray/common:status", - "@boost//:asio", - "@boost//:thread", - "@com_github_grpc_grpc//:grpc++", - ], -) - -cc_grpc_library( - name = "event_aggregator_cc_rpc", - srcs = ["//src/ray/protobuf:events_event_aggregator_service_proto"], - grpc_only = True, - deps = ["//src/ray/protobuf:events_event_aggregator_service_cc_proto"], -) - -# pubsub. -cc_grpc_library( - name = "pubsub_cc_grpc", - srcs = ["//src/ray/protobuf:pubsub_proto"], - grpc_only = True, - deps = [ - "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/protobuf:pubsub_cc_proto", - ], -) - -cc_grpc_library( - name = "autoscaler_cc_grpc", - srcs = ["//src/ray/protobuf:autoscaler_proto"], - grpc_only = True, - deps = [ - "//src/ray/protobuf:autoscaler_cc_proto", - ], -) - -ray_cc_library( - name = "autoscaler_rpc", - deps = [ - ":autoscaler_cc_grpc", - ], -) - -# === End of rpc definitions === - ray_cc_library( name = "ray_mock", hdrs = glob( @@ -494,15 +175,6 @@ ray_cc_binary( ], ) -ray_cc_library( - name = "pubsub_rpc", - # TODO(core): Revisit this dependency after grpc_common_lib is broken down into smaller targets. - deps = [ - ":grpc_common_lib", # This is a large dependency, should be refined in the future. - ":pubsub_cc_grpc", - ], -) - ray_cc_library( name = "raylet_agent_manager", srcs = ["src/ray/raylet/agent_manager.cc"], @@ -526,11 +198,11 @@ ray_cc_library( hdrs = ["src/ray/raylet/worker.h"], deps = [ ":node_manager_fbs", - ":worker_rpc", "//src/ray/common:id", "//src/ray/common:network", "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/rpc:core_worker_rpc", "//src/ray/util:process", "@com_google_absl//absl/memory", "@com_google_absl//absl/time", @@ -603,7 +275,6 @@ ray_cc_library( deps = [ ":local_object_manager_interface", ":worker_pool", - ":worker_rpc", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/gcs/gcs_client:gcs_client_lib", @@ -611,6 +282,7 @@ ray_cc_library( "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/pubsub:subscriber_lib", + "//src/ray/rpc:core_worker_rpc", ], ) @@ -648,13 +320,11 @@ ray_cc_library( ":local_object_manager", ":local_object_manager_interface", ":node_manager_fbs", - ":node_manager_rpc", ":raylet_agent_manager", ":runtime_env_agent_client", ":wait_manager", ":worker", ":worker_pool", - ":worker_rpc", "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/gcs", @@ -666,6 +336,8 @@ ray_cc_library( "//src/ray/protobuf:runtime_env_agent_cc_proto", "//src/ray/pubsub:pubsub_lib", "//src/ray/raylet/scheduling:scheduler", + "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:node_manager_rpc", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:container_util", @@ -858,47 +530,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "grpc_server_client_test", - size = "small", - srcs = [ - "src/ray/rpc/test/grpc_server_client_test.cc", - ], - tags = ["team:core"], - deps = [ - ":grpc_common_lib", - ":test_service_cc_grpc", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "rpc_chaos_test", - size = "small", - srcs = [ - "src/ray/rpc/test/rpc_chaos_test.cc", - ], - tags = ["team:core"], - deps = [ - ":grpc_common_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "core_worker_client_pool_test", - size = "small", - srcs = [ - "src/ray/rpc/worker/test/core_worker_client_pool_test.cc", - ], - tags = ["team:core"], - deps = [ - ":ray_mock", - ":worker_rpc", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_library( name = "platform_shims", srcs = [] + select({ diff --git a/bazel/ray.bzl b/bazel/ray.bzl index 690e352ebbba..9ef8b4a9c07b 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -132,12 +132,12 @@ def native_java_library(module_name, name, native_library_name): visibility = ["//visibility:public"], ) -def ray_cc_library(name, strip_include_prefix = "/src", copts = [], **kwargs): +def ray_cc_library(name, strip_include_prefix = "/src", copts = [], visibility = ["//visibility:public"], **kwargs): cc_library( name = name, strip_include_prefix = strip_include_prefix, copts = COPTS + copts, - visibility = ["//visibility:public"], + visibility = visibility, **kwargs ) diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/test/BUILD.bazel index 7ffd24c5ea20..54dcfce87821 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/test/BUILD.bazel @@ -49,9 +49,9 @@ ray_cc_test( "team:core", ], deps = [ - "//:grpc_common_lib", "//:ray_mock_syncer", "//src/ray/common:ray_syncer", + "//src/ray/rpc:grpc_common_lib", "//src/ray/util:path_utils", "@com_google_googletest//:gtest", ], @@ -173,9 +173,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:grpc_common_lib", "//src/ray/common:grpc_util", "//src/ray/common:status", + "//src/ray/rpc:grpc_common_lib", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index b81f9feaba9c..0bd468b81b9e 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -29,7 +29,6 @@ ray_cc_library( ":reference_count", ":task_event_buffer", ":task_receiver", - "//:worker_rpc", "//src/ray/common/cgroup:cgroup_context", "//src/ray/common/cgroup:cgroup_manager", "//src/ray/common/cgroup:constants", @@ -38,6 +37,7 @@ ray_cc_library( "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/pubsub:pubsub_lib", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_rpc", "//src/ray/stats:stats_lib", "//src/ray/util", "//src/ray/util:container_util", @@ -92,10 +92,10 @@ ray_cc_library( name = "scheduling_queue", hdrs = ["transport/scheduling_queue.h"], deps = [ - "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/rpc:server_call", ], ) @@ -134,8 +134,8 @@ ray_cc_library( ":core_worker_context", "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/protobuf:worker_cc_proto", "@com_google_absl//absl/types:optional", "@com_google_googletest//:gtest_prod", ], @@ -166,7 +166,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest_prod", ], @@ -178,11 +178,11 @@ ray_cc_library( hdrs = ["reference_count.h"], deps = [ ":lease_policy", - "//:grpc_server", - "//:worker_rpc", "//src/ray/common:id", "//src/ray/protobuf:common_cc_proto", "//src/ray/pubsub:pubsub_lib", + "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:grpc_server", "//src/ray/util:logging", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -207,7 +207,6 @@ ray_cc_library( srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], deps = [ - "//:event_aggregator_client", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:task_common", @@ -215,6 +214,7 @@ ray_cc_library( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:export_task_event_cc_proto", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/rpc:event_aggregator_client", "//src/ray/util:counter_map", "//src/ray/util:event", "@boost//:circular_buffer", @@ -272,7 +272,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "@com_google_absl//absl/types:optional", ], ) @@ -290,7 +290,7 @@ ray_cc_library( "//src/ray/common:ray_object", "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/stats:stats_metric", "//src/ray/util", "//src/ray/util:counter_map", @@ -328,12 +328,12 @@ ray_cc_library( ":dependency_resolver", ":out_of_order_actor_submit_queue", ":sequential_actor_submit_queue", - "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/rpc:core_worker_rpc", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -345,11 +345,11 @@ ray_cc_library( srcs = ["transport/scheduling_util.cc"], hdrs = ["transport/scheduling_util.h"], deps = [ - "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:server_call", ], ) @@ -360,9 +360,9 @@ ray_cc_library( deps = [ "scheduling_queue", ":scheduling_util", - "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], @@ -379,11 +379,11 @@ ray_cc_library( ":scheduling_util", ":task_event_buffer", ":thread_pool", - "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -413,11 +413,11 @@ ray_cc_library( ":scheduling_util", ":task_event_buffer", ":thread_pool", - "//:rpc_server_call", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/protobuf:worker_cc_proto", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -443,12 +443,12 @@ ray_cc_library( ":normal_scheduling_queue", ":out_of_order_actor_scheduling_queue", ":thread_pool", - "//:rpc_server_call", - "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:task_common", + "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -479,9 +479,9 @@ ray_cc_library( hdrs = ["future_resolver.h"], deps = [ ":memory_store", - "//:worker_rpc", "//src/ray/common:grpc_util", "//src/ray/common:id", + "//src/ray/rpc:core_worker_rpc", ], ) @@ -491,8 +491,8 @@ ray_cc_library( hdrs = ["experimental_mutable_object_provider.h"], deps = [ ":experimental_mutable_object_manager", - "//:rpc_client_call", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:client_call", ], ) @@ -564,10 +564,10 @@ ray_cc_library( ":memory_store", ":task_manager", ":task_receiver", - "//:worker_rpc", "//src/ray/common:id", "//src/ray/gcs:gcs_pb_util", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_rpc", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index 993cdcf86378..a197e6d453bd 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -34,12 +34,12 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:normal_task_submitter", "//src/ray/core_worker:reference_count", + "//src/ray/rpc:core_worker_rpc", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -51,13 +51,13 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", + "//src/ray/rpc:core_worker_rpc", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -86,12 +86,12 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//:worker_rpc", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:dependency_resolver", "//src/ray/core_worker:memory_store", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_rpc", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -105,12 +105,12 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", - "//:worker_rpc", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_rpc", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index baee6fbfb9de..7ca0d2844554 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -52,6 +52,6 @@ ray_cc_library( ":gcs_pb_util", ":gcs_redis_client", "//:node_manager_fbs", - "//:node_manager_rpc", + "//src/ray/rpc:node_manager_rpc", ], ) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index 4f5e127d3f30..5200ca9c7ed7 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -11,7 +11,6 @@ ray_cc_library( "gcs_client.h", ], deps = [ - "//:gcs_service_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/gcs:gcs_pb_util", @@ -19,6 +18,7 @@ ray_cc_library( "//src/ray/gcs/store_client:gcs_redis_store_client", "//src/ray/protobuf:usage_cc_proto", "//src/ray/pubsub:pubsub_lib", + "//src/ray/rpc:gcs_service_rpc", "//src/ray/util:container_util", "//src/ray/util:sequencer", ], diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index d7317ccf80ab..7e8aad291b3c 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -45,10 +45,10 @@ ray_cc_library( srcs = ["gcs_kv_manager.cc"], hdrs = ["gcs_kv_manager.h"], deps = [ - "//:gcs_service_rpc", "//src/ray/common:asio", "//src/ray/common:status", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/rpc:gcs_service_rpc", ], ) @@ -101,10 +101,10 @@ ray_cc_library( srcs = ["runtime_env_handler.cc"], hdrs = ["runtime_env_handler.h"], deps = [ - "//:gcs_service_rpc", - "//:node_manager_rpc", "//src/ray/common:runtime_env", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/rpc:gcs_service_rpc", + "//src/ray/rpc:node_manager_rpc", "//src/ray/util:thread_checker", ], ) @@ -128,8 +128,8 @@ ray_cc_library( ":gcs_kv_manager", ":gcs_table_storage", ":gcs_usage_stats_client", - "//:gcs_service_rpc", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/rpc:gcs_service_rpc", "//src/ray/stats:stats_metric", ], ) @@ -191,11 +191,11 @@ ray_cc_library( ":gcs_function_manager", ":gcs_init_data", ":gcs_table_storage", - "//:gcs_service_rpc", - "//:worker_rpc", "//src/ray/common:runtime_env", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:gcs_service_rpc", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:thread_checker", @@ -242,16 +242,16 @@ ray_cc_library( ":gcs_task_manager", ":gcs_usage_stats_client", ":gcs_worker_manager", - "//:autoscaler_rpc", - "//:gcs_service_cc_grpc", - "//:gcs_service_rpc", - "//:node_manager_rpc", - "//:worker_rpc", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client:gcs_observable_store_client", + "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/pubsub:pubsub_lib", "//src/ray/raylet/scheduling:scheduler", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:gcs_service_rpc", + "//src/ray/rpc:node_manager_rpc", "//src/ray/util:counter_map", "//src/ray/util:thread_checker", "//src/ray/util:throttler", diff --git a/src/ray/gcs/gcs_server/test/BUILD.bazel b/src/ray/gcs/gcs_server/test/BUILD.bazel index ba1de9826eb4..b635158c3357 100644 --- a/src/ray/gcs/gcs_server/test/BUILD.bazel +++ b/src/ray/gcs/gcs_server/test/BUILD.bazel @@ -97,6 +97,7 @@ ray_cc_test( ], deps = [ "//src/ray/gcs/gcs_server:gcs_server_lib", + "@boost//:thread", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel index f6270e56f164..c589db8bb455 100644 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ b/src/ray/gcs/pubsub/BUILD.bazel @@ -5,10 +5,10 @@ ray_cc_library( srcs = ["gcs_pub_sub.cc"], hdrs = ["gcs_pub_sub.h"], deps = [ - "//:gcs_service_rpc", "//src/ray/common:ray_config", "//src/ray/gcs:gcs_callback", "//src/ray/gcs:gcs_redis_client", "//src/ray/pubsub:pubsub_lib", + "//src/ray/rpc:gcs_service_rpc", ], ) diff --git a/src/ray/gcs/test/BUILD.bazel b/src/ray/gcs/test/BUILD.bazel index 539a9ca67269..6640a725f344 100644 --- a/src/ray/gcs/test/BUILD.bazel +++ b/src/ray/gcs/test/BUILD.bazel @@ -6,9 +6,9 @@ ray_cc_library( "gcs_test_util.h", ], deps = [ - "//:gcs_service_rpc", "//src/ray/common:test_util", "//src/ray/gcs:gcs_pb_util", + "//src/ray/rpc:gcs_service_rpc", ], ) diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 199460c60253..cf087fe1d27c 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -12,7 +12,6 @@ ray_cc_library( ":object_manager_common", ":pull_manager", ":push_manager", - "//:object_manager_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", @@ -20,6 +19,7 @@ ray_cc_library( "//src/ray/object_manager/plasma:plasma_store_server_lib", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/rpc:object_manager_rpc", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -42,11 +42,11 @@ ray_cc_library( deps = [ ":object_manager_common", ":ownership_object_directory", - "//:object_manager_rpc", "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:ray_object", "//src/ray/common:status", + "//src/ray/rpc:object_manager_rpc", "//src/ray/stats:stats_metric", "//src/ray/util:container_util", "//src/ray/util:counter_map", @@ -64,11 +64,11 @@ ray_cc_library( hdrs = ["ownership_object_directory.h"], deps = [ ":object_directory", - "//:worker_rpc", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/pubsub:subscriber_lib", + "//src/ray/rpc:core_worker_rpc", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -117,9 +117,9 @@ ray_cc_library( name = "object_manager_grpc_client_manager", hdrs = ["grpc_client_manager.h"], deps = [ - "//:grpc_client", - "//:rpc_client_call", "//src/ray/common:ray_config", + "//src/ray/rpc:client_call", + "//src/ray/rpc:grpc_client", "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", ], diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 3704b9f6de96..d1bf2f6f2b66 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -1,3 +1,4 @@ +load("@com_github_grpc_grpc//bazel:cc_grpc_library.bzl", "cc_grpc_library") load("@rules_cc//cc:defs.bzl", "cc_proto_library") load("@rules_proto//proto:defs.bzl", "proto_library") load("@rules_proto_grpc//python:defs.bzl", "python_grpc_compile") @@ -109,6 +110,13 @@ cc_proto_library( deps = [":node_manager_proto"], ) +cc_grpc_library( + name = "node_manager_cc_grpc", + srcs = [":node_manager_proto"], + grpc_only = True, + deps = [":node_manager_cc_proto"], +) + proto_library( name = "reporter_proto", srcs = ["reporter.proto"], @@ -123,6 +131,13 @@ cc_proto_library( deps = [":reporter_proto"], ) +cc_grpc_library( + name = "reporter_cc_grpc", + srcs = ["//src/ray/protobuf:reporter_proto"], + grpc_only = True, + deps = ["//src/ray/protobuf:reporter_cc_proto"], +) + proto_library( name = "gcs_service_proto", srcs = ["gcs_service.proto"], @@ -139,6 +154,13 @@ cc_proto_library( deps = [":gcs_service_proto"], ) +cc_grpc_library( + name = "gcs_service_cc_grpc", + srcs = [":gcs_service_proto"], + grpc_only = True, + deps = [":gcs_service_cc_proto"], +) + proto_library( name = "test_service_proto", srcs = ["test_service.proto"], @@ -153,6 +175,13 @@ cc_proto_library( deps = [":test_service_proto"], ) +cc_grpc_library( + name = "test_service_cc_grpc", + srcs = [":test_service_proto"], + grpc_only = True, + deps = [":test_service_cc_proto"], +) + proto_library( name = "object_manager_proto", srcs = ["object_manager.proto"], @@ -164,6 +193,13 @@ cc_proto_library( deps = [":object_manager_proto"], ) +cc_grpc_library( + name = "object_manager_cc_grpc", + srcs = [":object_manager_proto"], + grpc_only = True, + deps = [":object_manager_cc_proto"], +) + proto_library( name = "core_worker_proto", srcs = ["core_worker.proto"], @@ -175,10 +211,17 @@ proto_library( ) cc_proto_library( - name = "worker_cc_proto", + name = "core_worker_cc_proto", deps = ["core_worker_proto"], ) +cc_grpc_library( + name = "core_worker_cc_grpc", + srcs = [":core_worker_proto"], + grpc_only = True, + deps = [":core_worker_cc_proto"], +) + proto_library( name = "serialization_proto", srcs = ["serialization.proto"], @@ -318,7 +361,6 @@ proto_library( deps = [":common_proto"], ) -# Pubsub proto_library( name = "pubsub_proto", srcs = ["pubsub.proto"], @@ -336,6 +378,17 @@ cc_proto_library( deps = [":pubsub_proto"], ) +cc_grpc_library( + name = "pubsub_cc_grpc", + srcs = [":pubsub_proto"], + grpc_only = True, + deps = [ + ":common_cc_proto", + ":gcs_cc_proto", + ":pubsub_cc_proto", + ], +) + # runtime env agent gRPC lib. proto_library( name = "runtime_env_agent_proto", @@ -375,6 +428,15 @@ cc_proto_library( deps = [":autoscaler_proto"], ) +cc_grpc_library( + name = "autoscaler_cc_grpc", + srcs = ["//src/ray/protobuf:autoscaler_proto"], + grpc_only = True, + deps = [ + "//src/ray/protobuf:autoscaler_cc_proto", + ], +) + proto_library( name = "events_actor_task_definition_event_proto", srcs = ["events_actor_task_definition_event.proto"], @@ -476,6 +538,13 @@ cc_proto_library( deps = [":events_event_aggregator_service_proto"], ) +cc_grpc_library( + name = "events_event_aggregator_service_cc_grpc", + srcs = [":events_event_aggregator_service_proto"], + grpc_only = True, + deps = [":events_event_aggregator_service_cc_proto"], +) + # All core python protos are compiled in this single rule. # They will be copied into ray/core/generated directory # on ray wheel building. diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index b8d5ae8e8952..27507f74e477 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -1,12 +1,19 @@ load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") -# Ray native pubsub module. +ray_cc_library( + name = "pubsub_rpc", + deps = [ + "//src/ray/protobuf:pubsub_cc_grpc", + "//src/ray/rpc:grpc_common_lib", + ], +) + ray_cc_library( name = "publisher_lib", srcs = ["publisher.cc"], hdrs = ["publisher.h"], deps = [ - "//:pubsub_rpc", + ":pubsub_rpc", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -19,7 +26,7 @@ ray_cc_library( srcs = ["subscriber.cc"], hdrs = ["subscriber.h"], deps = [ - "//:pubsub_rpc", + ":pubsub_rpc", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -42,7 +49,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":pubsub_lib", - "//:pubsub_cc_grpc", + "//src/ray/protobuf:pubsub_cc_grpc", "//src/ray/protobuf:pubsub_cc_proto", "@com_google_absl//absl/synchronization", "@com_google_absl//absl/time", diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index 3d835dfa465f..bebb95eaa00f 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -100,8 +100,8 @@ ray_cc_library( name = "cluster_task_manager_interface", hdrs = ["cluster_task_manager_interface.h"], deps = [ - "//:rpc_server_call", "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/rpc:server_call", ], ) diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 1fe3d62c5844..156d28778d41 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -21,12 +21,12 @@ ray_cc_library( hdrs = ["raylet_client.h"], deps = [ ":raylet_client_connection_lib", - "//:node_manager_rpc", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/protobuf:common_cc_proto", + "//src/ray/rpc:node_manager_rpc", "//src/ray/util:logging", ], ) diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel new file mode 100644 index 000000000000..5140b82d8f90 --- /dev/null +++ b/src/ray/rpc/BUILD.bazel @@ -0,0 +1,228 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +# TODO(eoakes): break up this dependency. +ray_cc_library( + name = "grpc_common_lib", + # TODO(core): Both two header files are not needed, keep them there because of circular dependency between raylet and node rpc. + hdrs = [ + "//src/ray/raylet_client:raylet_client.h", + "//src/ray/raylet_client:raylet_connection.h", + ], + visibility = ["//visibility:public"], + # TODO(core): These three dependencies come from raylet client, should be able to remove after we split node rpc and raylet client into smaller targets. + deps = [ + "//src/ray/common:network", + "//src/ray/common:ray_object", + "//src/ray/common:task_common", + ] + [ + ":common", + ":event_aggregator_client", + ":grpc_client", + ":grpc_server", + ":metrics_agent_client", + ":retryable_grpc_client", + ":rpc_chaos", + ":server_call", + ], +) + +ray_cc_library( + name = "common", + srcs = ["common.cc"], + hdrs = ["common.h"], + visibility = ["//visibility:private"], +) + +ray_cc_library( + name = "client_call", + hdrs = ["client_call.h"], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:grpc_util", + "//src/ray/common:id", + "//src/ray/common:status", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "grpc_client", + hdrs = ["grpc_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":client_call", + ":common", + ":rpc_chaos", + "//src/ray/common:grpc_util", + "//src/ray/common:ray_config", + "//src/ray/common:status", + ], +) + +ray_cc_library( + name = "retryable_grpc_client", + srcs = ["retryable_grpc_client.cc"], + hdrs = ["retryable_grpc_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":client_call", + ":grpc_client", + "@com_google_absl//absl/container:btree", + "@com_google_absl//absl/strings:str_format", + "@com_google_absl//absl/time", + ], +) + +ray_cc_library( + name = "metrics_agent_client", + hdrs = ["metrics_agent_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":grpc_client", + "//src/ray/protobuf:reporter_cc_grpc", + "//src/ray/protobuf:reporter_cc_proto", + "//src/ray/util:logging", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "event_aggregator_client", + hdrs = ["event_aggregator_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":grpc_client", + "//src/ray/protobuf:events_event_aggregator_service_cc_grpc", + "//src/ray/util:logging", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "rpc_chaos", + srcs = ["rpc_chaos.cc"], + hdrs = ["rpc_chaos.h"], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/common:ray_config", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "server_call", + srcs = ["server_call.cc"], + hdrs = ["server_call.h"], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:grpc_util", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/common:status", + "//src/ray/stats:stats_metric", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "grpc_server", + srcs = ["grpc_server.cc"], + hdrs = ["grpc_server.h"], + visibility = ["//visibility:public"], + deps = [ + ":common", + ":server_call", + "//src/ray/common:asio", + "//src/ray/common:ray_config", + "//src/ray/common:status", + "//src/ray/util:thread_utils", + "@com_github_grpc_grpc//:grpc++", + "@com_github_grpc_grpc//:grpc++_reflection", + "@com_github_grpc_grpc//:grpcpp_admin", + ], +) + +# TODO(edoakes): split client and server targets for each of the below. + +ray_cc_library( + name = "node_manager_rpc", + srcs = ["node_manager/raylet_client_pool.cc"], + hdrs = [ + "node_manager/node_manager_client.h", + "node_manager/node_manager_server.h", + "node_manager/raylet_client_pool.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":grpc_common_lib", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/protobuf:node_manager_cc_grpc", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "gcs_service_rpc", + hdrs = [ + "gcs_server/gcs_rpc_client.h", + "gcs_server/gcs_rpc_server.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":grpc_common_lib", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/pubsub:pubsub_lib", + "@boost//:asio", + "@com_github_grpc_grpc//:grpc++", + "@com_google_absl//absl/container:btree", + ], +) + +ray_cc_library( + name = "object_manager_rpc", + hdrs = [ + "object_manager/object_manager_client.h", + "object_manager/object_manager_server.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":grpc_common_lib", + "//src/ray/common:asio", + "//src/ray/common:status", + "//src/ray/object_manager:object_manager_grpc_client_manager", + "//src/ray/protobuf:object_manager_cc_grpc", + "@boost//:asio", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "core_worker_rpc", + srcs = [ + "worker/core_worker_client.cc", + "worker/core_worker_client_pool.cc", + ], + hdrs = [ + "worker/core_worker_client.h", + "worker/core_worker_client_pool.h", + "worker/core_worker_server.h", + ], + deps = [ + ":grpc_common_lib", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/pubsub:pubsub_lib", + "//src/ray/raylet_client:raylet_client_lib", + "@com_github_grpc_grpc//:grpc++", + ], +) diff --git a/src/ray/rpc/test/BUILD b/src/ray/rpc/test/BUILD new file mode 100644 index 000000000000..e74259fab05d --- /dev/null +++ b/src/ray/rpc/test/BUILD @@ -0,0 +1,42 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "rpc_chaos_test", + size = "small", + srcs = [ + "rpc_chaos_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/rpc:rpc_chaos", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "grpc_server_client_test", + size = "small", + srcs = [ + "grpc_server_client_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/protobuf:test_service_cc_grpc", + "//src/ray/rpc:grpc_common_lib", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "core_worker_client_pool_test", + size = "small", + srcs = [ + "core_worker_client_pool_test.cc", + ], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/rpc:core_worker_rpc", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/rpc/worker/test/core_worker_client_pool_test.cc b/src/ray/rpc/test/core_worker_client_pool_test.cc similarity index 100% rename from src/ray/rpc/worker/test/core_worker_client_pool_test.cc rename to src/ray/rpc/test/core_worker_client_pool_test.cc diff --git a/src/ray/rpc/test/grpc_bench/BUILD.bazel b/src/ray/rpc/test/grpc_bench/BUILD.bazel index 3fb27d696221..72708e9e28b0 100644 --- a/src/ray/rpc/test/grpc_bench/BUILD.bazel +++ b/src/ray/rpc/test/grpc_bench/BUILD.bazel @@ -26,6 +26,6 @@ cc_binary( copts = COPTS, deps = [ ":helloworld_cc_lib", - "//:grpc_common_lib", + "//src/ray/rpc:grpc_common_lib", ], ) diff --git a/src/ray/rpc/test/grpc_bench/grpc_bench.cc b/src/ray/rpc/test/grpc_bench/grpc_bench.cc index 321b3301d96e..86b8e7ef4e27 100644 --- a/src/ray/rpc/test/grpc_bench/grpc_bench.cc +++ b/src/ray/rpc/test/grpc_bench/grpc_bench.cc @@ -71,7 +71,7 @@ int main() { const auto env = std::getenv("GRPC_SERVER_CPUS"); const auto parallelism = env ? std::atoi(env) : std::thread::hardware_concurrency(); - GrpcServer server("grpc_bench", 50051, false, parallelism); + GrpcServer server("grpc_bench", 50051, false, ClusterID::Nil(), parallelism); instrumented_io_context main_service; std::thread t([&main_service] { boost::asio::executor_work_guard work( diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 5b45ad2d07d1..a913b78e5a69 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -49,7 +49,7 @@ ray_cc_library( }), deps = [ ":stats_metric", - "//:reporter_rpc", + "//src/ray/rpc:metrics_agent_client", "//src/ray/util:size_literals", "@com_github_grpc_grpc//:grpc_opencensus_plugin", ], From 509b1ee08cebf1e8139bf041e0aabb8ada442bdc Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sun, 3 Aug 2025 15:59:10 -0700 Subject: [PATCH 0455/1566] [wheel] convert `:ray_pkg` references to `:gen_ray_pkg` (#55180) getting closer to deleting `:ray_pkg` rule from code base Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 4 ++-- ci/ci.sh | 4 ++-- ci/env/install-llvm-binaries.sh | 2 +- ci/lint/check-git-clang-tidy-output.sh | 6 +++--- ci/ray_ci/tests.env.Dockerfile | 2 +- doc/source/ray-contribute/development.rst | 6 +++--- python/ray/_private/ray_experimental_perf.py | 2 +- python/ray/_private/ray_perf.py | 2 +- 8 files changed, 14 insertions(+), 14 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 9700ad75188d..3aed168dbccd 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -96,7 +96,7 @@ refresh_compile_commands( # Specify the targets of interest. # For example, specify a dict of targets and any flags required to build. targets = { - "//:ray_pkg": "", + "//:ray_pkg_zip": "", }, # No need to add flags already in .bazelrc. They're automatically picked up. ) @@ -105,7 +105,7 @@ refresh_compile_commands( refresh_compile_commands( name = "refresh_compile_commands_external_sources", targets = { - "//:ray_pkg": "", + "//:ray_pkg_zip": "", }, ) diff --git a/ci/ci.sh b/ci/ci.sh index 5e470b42a54a..5b94d2cb8493 100755 --- a/ci/ci.sh +++ b/ci/ci.sh @@ -211,11 +211,11 @@ _bazel_build_before_install() { # NOTE: Do not add build flags here. Use .bazelrc and --config instead. if [[ -z "${RAY_DEBUG_BUILD:-}" ]]; then - bazel build //:ray_pkg + bazel run //:gen_ray_pkg elif [[ "${RAY_DEBUG_BUILD}" == "asan" ]]; then echo "No need to build anything before install" elif [[ "${RAY_DEBUG_BUILD}" == "debug" ]]; then - bazel build --config debug //:ray_pkg + bazel run --config debug //:gen_ray_pkg else echo "Invalid config given" exit 1 diff --git a/ci/env/install-llvm-binaries.sh b/ci/env/install-llvm-binaries.sh index 879e5374a7e1..4e52b968b365 100755 --- a/ci/env/install-llvm-binaries.sh +++ b/ci/env/install-llvm-binaries.sh @@ -4,7 +4,7 @@ # with this location. Example usage: # # (Repository root) $ ci/env/install-llvm-binaries.sh -# (Repository root) $ bazel build --config=llvm //:ray_pkg +# (Repository root) $ bazel run --config=llvm //:gen_ray_pkg # # If the arguments are unspecified, the default ${LLVM_URL} and ${TARGET_DIR} are used. They are set to be # suitable for CI, but may not be suitable under other environments. diff --git a/ci/lint/check-git-clang-tidy-output.sh b/ci/lint/check-git-clang-tidy-output.sh index e638775d404e..9d32a4c900bb 100755 --- a/ci/lint/check-git-clang-tidy-output.sh +++ b/ci/lint/check-git-clang-tidy-output.sh @@ -28,15 +28,15 @@ printInfo "Generating compilation database ..." case "${OSTYPE}" in linux*) printInfo "Running on Linux, using clang to build C++ targets. Please make sure it is installed with install-llvm-binaries.sh" - bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg --config=llvm \ + bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg_zip --config=llvm \ --experimental_action_listener=//ci/lint/generate_compile_commands:compile_command_listener;; darwin*) printInfo "Running on MacOS, assuming default C++ compiler is clang." - bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg \ + bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg_zip \ --experimental_action_listener=//ci/lint/generate_compile_commands:compile_command_listener;; msys*) printInfo "Running on Windows, using clang-cl to build C++ targets. Please make sure it is installed." - CC=clang-cl bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg \ + CC=clang-cl bazel build //ci/lint/generate_compile_commands:extract_compile_command //:ray_pkg_zip \ --experimental_action_listener=//ci/lint/generate_compile_commands:compile_command_listener;; esac diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 679cc7baca24..7ae17986e618 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -64,7 +64,7 @@ if [[ "$BUILD_TYPE" == "debug" ]]; then RAY_DEBUG_BUILD=debug pip install -v -e python/ elif [[ "$BUILD_TYPE" == "asan" ]]; then pip install -v -e python/ - bazel build $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:ray_pkg + bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux RAY_INSTALL_JAVA=1 pip install -v -e python/ diff --git a/doc/source/ray-contribute/development.rst b/doc/source/ray-contribute/development.rst index d652e5971eba..e249ef161850 100644 --- a/doc/source/ray-contribute/development.rst +++ b/doc/source/ray-contribute/development.rst @@ -367,11 +367,11 @@ run the following (via ``-c`` ``fastbuild``/``dbg``/``opt``, respectively): .. code-block:: shell - bazel build -c fastbuild //:ray_pkg + bazel run -c fastbuild //:gen_ray_pkg This will rebuild Ray with the appropriate options (which may take a while). -If you need to build all targets, you can use ``"//:all"`` instead of -``//:ray_pkg``. +If you need to build all targets, you can use ``bazel build //:all`` instead of +``bazel run //:gen_ray_pkg``. To make this change permanent, you can add an option such as the following line to your user-level ``~/.bazelrc`` file (not to be confused with the diff --git a/python/ray/_private/ray_experimental_perf.py b/python/ray/_private/ray_experimental_perf.py index f3364fef69f3..b62384a68a42 100644 --- a/python/ray/_private/ray_experimental_perf.py +++ b/python/ray/_private/ray_experimental_perf.py @@ -32,7 +32,7 @@ def check_optimized_build(): msg = ( "WARNING: Unoptimized build! " "To benchmark an optimized build, try:\n" - "\tbazel build -c opt //:ray_pkg\n" + "\tbazel run -c opt //:gen_ray_pkg\n" "You can also make this permanent by adding\n" "\tbuild --compilation_mode=opt\n" "to your user-wide ~/.bazelrc file. " diff --git a/python/ray/_private/ray_perf.py b/python/ray/_private/ray_perf.py index 04e6d817d656..f17fd2ac01a7 100644 --- a/python/ray/_private/ray_perf.py +++ b/python/ray/_private/ray_perf.py @@ -83,7 +83,7 @@ def check_optimized_build(): msg = ( "WARNING: Unoptimized build! " "To benchmark an optimized build, try:\n" - "\tbazel build -c opt //:ray_pkg\n" + "\tbazel run -c opt //:gen_ray_pkg\n" "You can also make this permanent by adding\n" "\tbuild --compilation_mode=opt\n" "to your user-wide ~/.bazelrc file. " From 5b3fe3adbffd452787b7b9337a65d8b11f1ed214 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Mon, 4 Aug 2025 03:52:49 +0000 Subject: [PATCH 0456/1566] [Core] Fix `test_resource_and_label_spec` on macOS (#55156) Signed-off-by: Ryan O'Leary Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../ray/tests/unit/test_resource_and_label_spec.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/python/ray/tests/unit/test_resource_and_label_spec.py b/python/ray/tests/unit/test_resource_and_label_spec.py index 76568b5b4fe0..53fed3ef9cc1 100644 --- a/python/ray/tests/unit/test_resource_and_label_spec.py +++ b/python/ray/tests/unit/test_resource_and_label_spec.py @@ -106,10 +106,14 @@ def test_resource_and_label_spec_resolves_auto_detect(monkeypatch): assert HEAD_NODE_RESOURCE_NAME in spec.resources assert any(key.startswith(NODE_ID_PREFIX) for key in spec.resources.keys()) - # object_store_memory = 8GB * DEFAULT_OBJECT_STORE_MEMORY_PROPORTION - expected_object_store = int( - 8 * 1024**3 * ray_constants.DEFAULT_OBJECT_STORE_MEMORY_PROPORTION - ) + if sys.platform == "darwin": + # Object store memory is capped at 2GB on macOS. + expected_object_store = 2 * 1024**3 + else: + # object_store_memory = 8GB * DEFAULT_OBJECT_STORE_MEMORY_PROPORTION + expected_object_store = int( + 8 * 1024**3 * ray_constants.DEFAULT_OBJECT_STORE_MEMORY_PROPORTION + ) assert spec.object_store_memory == expected_object_store # memory is total available memory - object_store_memory From 7e4271c172f0f536109ee4d5d7fdbbb04d6bdfc3 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Sun, 3 Aug 2025 21:01:04 -0700 Subject: [PATCH 0457/1566] [Core] Only listen to localhost for specific ray client server (#55178) Signed-off-by: avigyabb Signed-off-by: Douglas Strodtman --- python/ray/util/client/server/proxier.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/util/client/server/proxier.py b/python/ray/util/client/server/proxier.py index 5f3992c334c8..5fc5ff2fbf77 100644 --- a/python/ray/util/client/server/proxier.py +++ b/python/ray/util/client/server/proxier.py @@ -309,7 +309,7 @@ def start_specific_server(self, client_id: str, job_config: JobConfig) -> bool: proc = start_ray_client_server( self.address, - self.node.node_ip_address, + "127.0.0.1", specific_server.port, stdout_file=output, stderr_file=error, From b93cd1ddf710a552fb12dc4c54034848a7dd1275 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Mon, 4 Aug 2025 12:22:33 +0200 Subject: [PATCH 0458/1566] [RLlib] Simplify: Remove input/output specs from RLModules. (#55141) Signed-off-by: Douglas Strodtman --- rllib/BUILD | 5 +- rllib/algorithms/dqn/default_dqn_rl_module.py | 40 +----------- rllib/algorithms/dqn/dqn_catalog.py | 2 +- .../algorithms/impala/tests/test_vtrace_v2.py | 2 +- rllib/algorithms/ppo/ppo_catalog.py | 15 +---- rllib/algorithms/sac/default_sac_rl_module.py | 27 -------- rllib/algorithms/sac/sac_catalog.py | 4 +- rllib/core/distribution/distribution.py | 6 +- .../distribution/torch/torch_distribution.py | 2 +- rllib/core/models/base.py | 1 + rllib/core/models/catalog.py | 30 ++------- rllib/core/models/tests/test_catalog.py | 2 +- rllib/core/models/torch/base.py | 4 +- rllib/core/rl_module/multi_rl_module.py | 36 +++++------ rllib/core/rl_module/rl_module.py | 63 +++++++++---------- rllib/core/rl_module/torch/torch_rl_module.py | 13 ++-- rllib/core/testing/torch/bc_module.py | 14 +---- rllib/env/env_context.py | 4 +- .../catalogs/custom_action_distribution.py | 4 +- .../multi_agent/self_play_with_open_spiel.py | 3 + .../multi_agent/utils/self_play_callback.py | 1 + .../classes/autoregressive_actions_rlm.py | 2 +- .../classes/custom_action_distribution_rlm.py | 2 +- .../rl_modules/classes/modelv2_to_rlm.py | 2 +- .../examples/rl_modules/classes/random_rlm.py | 8 --- .../rock_paper_scissors_heuristic_rlm.py | 16 ----- rllib/models/tests/test_distributions.py | 2 +- 27 files changed, 91 insertions(+), 219 deletions(-) diff --git a/rllib/BUILD b/rllib/BUILD index ffbb7a0eb573..144d6364b4f8 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -90,6 +90,7 @@ doctest( "algorithms/r2d2/r2d2.py", "algorithms/sac/rnnsac.py", "algorithms/simple_q/simple_q.py", + "core/distribution/torch/torch_distribution.py", "core/models/base.py", "core/models/specs/specs_base.py", "core/models/specs/specs_dict.py", @@ -104,9 +105,7 @@ doctest( "models/catalog.py", "models/preprocessors.py", "models/repeated_values.py", - "models/tf/tf_distributions.py", "models/torch/model.py", - "models/torch/torch_distributions.py", "policy/rnn_sequencing.py", "utils/actor_manager.py", "utils/filter.py", @@ -4684,7 +4683,7 @@ py_test( py_test( name = "examples/metrics/custom_metrics_in_algorithm_training_step", - size = "small", + size = "medium", srcs = ["examples/metrics/custom_metrics_in_algorithm_training_step.py"], main = "examples/metrics/custom_metrics_in_algorithm_training_step.py", tags = [ diff --git a/rllib/algorithms/dqn/default_dqn_rl_module.py b/rllib/algorithms/dqn/default_dqn_rl_module.py index b207134bfd30..78f9fe2c2e60 100644 --- a/rllib/algorithms/dqn/default_dqn_rl_module.py +++ b/rllib/algorithms/dqn/default_dqn_rl_module.py @@ -1,8 +1,6 @@ import abc from typing import Any, Dict, List, Tuple, Union -from ray.rllib.algorithms.sac.sac_learner import QF_PREDS -from ray.rllib.core.columns import Columns from ray.rllib.core.learner.utils import make_target_network from ray.rllib.core.models.base import Encoder, Model from ray.rllib.core.rl_module.apis import QNetAPI, InferenceOnlyAPI, TargetNetworkAPI @@ -16,6 +14,7 @@ from ray.util.annotations import DeveloperAPI +QF_PREDS = "qf_preds" ATOMS = "atoms" QF_LOGITS = "qf_logits" QF_NEXT_PREDS = "qf_next_preds" @@ -138,43 +137,6 @@ def get_initial_state(self) -> dict: else: return {} - @override(RLModule) - def input_specs_train(self): - return [ - Columns.OBS, - Columns.ACTIONS, - Columns.NEXT_OBS, - ] - - @override(RLModule) - def output_specs_exploration(self): - return [Columns.ACTIONS] - - @override(RLModule) - def output_specs_inference(self): - return [Columns.ACTIONS] - - @override(RLModule) - def output_specs_train(self): - return [ - QF_PREDS, - QF_TARGET_NEXT_PREDS, - # Add keys for double-Q setup. - *([QF_NEXT_PREDS] if self.uses_double_q else []), - # Add keys for distributional Q-learning. - *( - [ - ATOMS, - QF_LOGITS, - QF_PROBS, - QF_TARGET_NEXT_PROBS, - ] - # We add these keys only when learning a distribution. - if self.num_atoms > 1 - else [] - ), - ] - @abc.abstractmethod @OverrideToImplementCustomLogic def _qf_forward_helper( diff --git a/rllib/algorithms/dqn/dqn_catalog.py b/rllib/algorithms/dqn/dqn_catalog.py index e21820f50d78..f98dc5429c3a 100644 --- a/rllib/algorithms/dqn/dqn_catalog.py +++ b/rllib/algorithms/dqn/dqn_catalog.py @@ -3,7 +3,7 @@ from ray.rllib.core.models.catalog import Catalog from ray.rllib.core.models.base import Model from ray.rllib.core.models.configs import MLPHeadConfig -from ray.rllib.models.torch.torch_distributions import TorchCategorical +from ray.rllib.core.distribution.torch.torch_distribution import TorchCategorical from ray.rllib.utils.annotations import ( ExperimentalAPI, override, diff --git a/rllib/algorithms/impala/tests/test_vtrace_v2.py b/rllib/algorithms/impala/tests/test_vtrace_v2.py index 84f315298ea1..79387104d968 100644 --- a/rllib/algorithms/impala/tests/test_vtrace_v2.py +++ b/rllib/algorithms/impala/tests/test_vtrace_v2.py @@ -11,7 +11,7 @@ _ground_truth_vtrace_calculation, ) from ray.rllib.utils.torch_utils import convert_to_torch_tensor -from ray.rllib.models.torch.torch_distributions import TorchCategorical +from ray.rllib.core.distribution.torch.torch_distribution import TorchCategorical from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.test_utils import check diff --git a/rllib/algorithms/ppo/ppo_catalog.py b/rllib/algorithms/ppo/ppo_catalog.py index e8c6c0cde3db..fb11efea17ba 100644 --- a/rllib/algorithms/ppo/ppo_catalog.py +++ b/rllib/algorithms/ppo/ppo_catalog.py @@ -14,7 +14,9 @@ def _check_if_diag_gaussian(action_distribution_cls, framework, no_error=False): if framework == "torch": - from ray.rllib.models.torch.torch_distributions import TorchDiagGaussian + from ray.rllib.core.distribution.torch.torch_distribution import ( + TorchDiagGaussian, + ) is_diag_gaussian = issubclass(action_distribution_cls, TorchDiagGaussian) if no_error: @@ -24,17 +26,6 @@ def _check_if_diag_gaussian(action_distribution_cls, framework, no_error=False): f"free_log_std is only supported for DiagGaussian action " f"distributions. Found action distribution: {action_distribution_cls}." ) - elif framework == "tf2": - from ray.rllib.models.tf.tf_distributions import TfDiagGaussian - - is_diag_gaussian = issubclass(action_distribution_cls, TfDiagGaussian) - if no_error: - return is_diag_gaussian - else: - assert is_diag_gaussian, ( - "free_log_std is only supported for DiagGaussian action distributions. " - "Found action distribution: {}.".format(action_distribution_cls) - ) else: raise ValueError(f"Framework {framework} not supported for free_log_std.") diff --git a/rllib/algorithms/sac/default_sac_rl_module.py b/rllib/algorithms/sac/default_sac_rl_module.py index 9e12060ccc51..3d01e5ed5ccc 100644 --- a/rllib/algorithms/sac/default_sac_rl_module.py +++ b/rllib/algorithms/sac/default_sac_rl_module.py @@ -1,16 +1,10 @@ from abc import abstractmethod from typing import Any, Dict, List, Tuple -from ray.rllib.algorithms.sac.sac_learner import ( - ACTION_DIST_INPUTS_NEXT, - QF_PREDS, - QF_TWIN_PREDS, -) from ray.rllib.core.learner.utils import make_target_network from ray.rllib.core.models.base import Encoder, Model from ray.rllib.core.rl_module.apis import InferenceOnlyAPI, QNetAPI, TargetNetworkAPI from ray.rllib.core.rl_module.rl_module import RLModule -from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import ( override, OverrideToImplementCustomLogic, @@ -129,27 +123,6 @@ def get_initial_state(self) -> dict: # return {} return {} - @override(RLModule) - def input_specs_train(self): - return [ - SampleBatch.OBS, - SampleBatch.ACTIONS, - SampleBatch.NEXT_OBS, - ] - - @override(RLModule) - def output_specs_train(self): - return ( - [ - QF_PREDS, - SampleBatch.ACTION_DIST_INPUTS, - ACTION_DIST_INPUTS_NEXT, - ] - + [QF_TWIN_PREDS] - if self.twin_q - else [] - ) - @abstractmethod @OverrideToImplementCustomLogic def _qf_forward_train_helper( diff --git a/rllib/algorithms/sac/sac_catalog.py b/rllib/algorithms/sac/sac_catalog.py index 6f6d5aa7a5c3..c60bfd77992f 100644 --- a/rllib/algorithms/sac/sac_catalog.py +++ b/rllib/algorithms/sac/sac_catalog.py @@ -12,12 +12,12 @@ MLPHeadConfig, ) from ray.rllib.core.models.base import Encoder, Model -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchSquashedGaussian, TorchCategorical, ) from ray.rllib.utils.annotations import override, OverrideToImplementCustomLogic -from ray.rllib.models.distributions import Distribution +from ray.rllib.core.distribution.distribution import Distribution # TODO (simon): Check, if we can directly derive from DQNCatalog. diff --git a/rllib/core/distribution/distribution.py b/rllib/core/distribution/distribution.py index bda55acd2770..f9dbf137917c 100644 --- a/rllib/core/distribution/distribution.py +++ b/rllib/core/distribution/distribution.py @@ -18,7 +18,9 @@ class Distribution(abc.ABC): import torch from ray.rllib.core.models.configs import MLPHeadConfig - from ray.rllib.models.torch.torch_distributions import TorchCategorical + from ray.rllib.core.distribution.torch.torch_distribution import ( + TorchCategorical + ) model = MLPHeadConfig(input_dims=[1]).build(framework="torch") @@ -147,7 +149,7 @@ def from_logits(cls, logits: TensorType, **kwargs) -> "Distribution": .. testcode:: import numpy as np - from ray.rllib.models.distributions import Distribution + from ray.rllib.core.distribution.distribution import Distribution class Uniform(Distribution): def __init__(self, lower, upper): diff --git a/rllib/core/distribution/torch/torch_distribution.py b/rllib/core/distribution/torch/torch_distribution.py index c1c3af2675ac..e234f6f10c08 100644 --- a/rllib/core/distribution/torch/torch_distribution.py +++ b/rllib/core/distribution/torch/torch_distribution.py @@ -10,7 +10,7 @@ import abc -from ray.rllib.models.distributions import Distribution +from ray.rllib.core.distribution.distribution import Distribution from ray.rllib.utils.annotations import override, DeveloperAPI from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import MAX_LOG_NN_OUTPUT, MIN_LOG_NN_OUTPUT, SMALL_NUMBER diff --git a/rllib/core/models/base.py b/rllib/core/models/base.py index 3bb6304449a5..d3ad4dd18963 100644 --- a/rllib/core/models/base.py +++ b/rllib/core/models/base.py @@ -31,6 +31,7 @@ class Model(abc.ABC): from ray.rllib.core.models.base import Model from ray.rllib.core.models.configs import ModelConfig + from ray.rllib.core.models.configs import ModelConfig from dataclasses import dataclass class MyModel(Model): diff --git a/rllib/core/models/catalog.py b/rllib/core/models/catalog.py index 136dd713e01a..f1bf8c6a3ea5 100644 --- a/rllib/core/models/catalog.py +++ b/rllib/core/models/catalog.py @@ -16,7 +16,7 @@ ) from ray.rllib.core.models.configs import ModelConfig from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig -from ray.rllib.models.distributions import Distribution +from ray.rllib.core.distribution.distribution import Distribution from ray.rllib.models.preprocessors import get_preprocessor, Preprocessor from ray.rllib.models.utils import get_filter_config from ray.rllib.utils.deprecation import deprecation_warning, DEPRECATED_VALUE @@ -441,7 +441,7 @@ class DistEnum(enum.Enum): MultiCategorical = "MultiCategorical" if framework == "torch": - from ray.rllib.models.torch.torch_distributions import ( + from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDeterministic, TorchDiagGaussian, @@ -452,18 +452,6 @@ class DistEnum(enum.Enum): DistEnum.DiagGaussian: TorchDiagGaussian, DistEnum.Categorical: TorchCategorical, } - elif framework == "tf2": - from ray.rllib.models.tf.tf_distributions import ( - TfCategorical, - TfDeterministic, - TfDiagGaussian, - ) - - distribution_dicts = { - DistEnum.Deterministic: TfDeterministic, - DistEnum.DiagGaussian: TfDiagGaussian, - DistEnum.Categorical: TfCategorical, - } else: raise ValueError( f"Unknown framework: {framework}. Only 'torch' and 'tf2' are " @@ -613,15 +601,11 @@ def _multi_action_dist_partial_helper( ] if framework == "torch": - from ray.rllib.models.torch.torch_distributions import ( + from ray.rllib.core.distribution.torch.torch_distribution import ( TorchMultiDistribution, ) multi_action_dist_cls = TorchMultiDistribution - elif framework == "tf2": - from ray.rllib.models.tf.tf_distributions import TfMultiDistribution - - multi_action_dist_cls = TfMultiDistribution else: raise ValueError(f"Unsupported framework: {framework}") @@ -650,13 +634,11 @@ def _multi_categorical_dist_partial_helper( """ if framework == "torch": - from ray.rllib.models.torch.torch_distributions import TorchMultiCategorical + from ray.rllib.core.distribution.torch.torch_distribution import ( + TorchMultiCategorical, + ) multi_categorical_dist_cls = TorchMultiCategorical - elif framework == "tf2": - from ray.rllib.models.tf.tf_distributions import TfMultiCategorical - - multi_categorical_dist_cls = TfMultiCategorical else: raise ValueError(f"Unsupported framework: {framework}") diff --git a/rllib/core/models/tests/test_catalog.py b/rllib/core/models/tests/test_catalog.py index ecec2d9d9e8b..e3e14f93aea5 100644 --- a/rllib/core/models/tests/test_catalog.py +++ b/rllib/core/models/tests/test_catalog.py @@ -31,7 +31,7 @@ from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig from ray.rllib.core.rl_module.rl_module import RLModuleSpec from ray.rllib.models import MODEL_DEFAULTS -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDiagGaussian, TorchMultiCategorical, diff --git a/rllib/core/models/torch/base.py b/rllib/core/models/torch/base.py index ed622ca0d0eb..ce6a109024b9 100644 --- a/rllib/core/models/torch/base.py +++ b/rllib/core/models/torch/base.py @@ -16,9 +16,7 @@ class TorchModel(nn.Module, Model, abc.ABC): """Base class for RLlib's PyTorch models. - This class defines the interface for RLlib's PyTorch models and checks - whether inputs and outputs of forward are checked with `check_input_specs()` and - `check_output_specs()` respectively. + This class defines the interface for RLlib's PyTorch models. Example usage for a single Flattening layer: diff --git a/rllib/core/rl_module/multi_rl_module.py b/rllib/core/rl_module/multi_rl_module.py index 4f3f26ab01a9..c444f411b45a 100644 --- a/rllib/core/rl_module/multi_rl_module.py +++ b/rllib/core/rl_module/multi_rl_module.py @@ -464,26 +464,6 @@ def get_ctor_args_and_kwargs(self): def get_checkpointable_components(self) -> List[Tuple[str, Checkpointable]]: return list(self._rl_modules.items()) - @override(RLModule) - def output_specs_train(self): - return [] - - @override(RLModule) - def output_specs_inference(self): - return [] - - @override(RLModule) - def output_specs_exploration(self): - return [] - - @override(RLModule) - def _default_input_specs(self): - """MultiRLModule should not check the input specs. - - The underlying single-agent RLModules will check the input specs. - """ - return [] - @override(RLModule) def as_multi_rl_module(self) -> "MultiRLModule": """Returns self in order to match `RLModule.as_multi_rl_module()` behavior. @@ -516,6 +496,22 @@ def _check_module_exists(self, module_id: ModuleID) -> None: f"Available modules: {set(self.keys())}" ) + @Deprecated(error=False) + def output_specs_train(self): + pass + + @Deprecated(error=False) + def output_specs_inference(self): + pass + + @Deprecated(error=False) + def output_specs_exploration(self): + pass + + @Deprecated(error=False) + def _default_input_specs(self): + pass + @PublicAPI(stability="alpha") @dataclasses.dataclass diff --git a/rllib/core/rl_module/rl_module.py b/rllib/core/rl_module/rl_module.py index 5d53b717761a..644ecae02a46 100644 --- a/rllib/core/rl_module/rl_module.py +++ b/rllib/core/rl_module/rl_module.py @@ -7,9 +7,8 @@ import gymnasium as gym from ray.rllib.core import DEFAULT_MODULE_ID -from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig -from ray.rllib.models.distributions import Distribution +from ray.rllib.core.distribution.distribution import Distribution from ray.rllib.utils.annotations import ( override, OverrideToImplementCustomLogic, @@ -372,9 +371,9 @@ class RLModule(Checkpointable, abc.ABC): model_config: A config dict to specify features of this RLModule. Attributes: - action_dist_cls: An optional ray.rllib.models.distribution.Distribution subclass - to use for sampling actions, given parameters from a batch - (`Columns.ACTION_DIST_INPUTS`). + action_dist_cls: An optional ray.rllib.core.distribution.distribution. + Distribution subclass to use for sampling actions, given parameters from + a batch (`Columns.ACTION_DIST_INPUTS`). Abstract Methods: ``~_forward_train``: Forward pass during training. @@ -499,7 +498,8 @@ def get_inference_action_dist_cls(self) -> Type[Distribution]: Note that RLlib's distribution classes all implement the `Distribution` interface. This requires two special methods: `Distribution.from_logits()` and `Distribution.to_deterministic()`. See the documentation of the - :py:class:`~ray.rllib.models.distributions.Distribution` class for more details. + :py:class:`~ray.rllib.core.distribution.distribution.Distribution` class for + more details. """ raise NotImplementedError @@ -514,7 +514,8 @@ def get_exploration_action_dist_cls(self) -> Type[Distribution]: Note that RLlib's distribution classes all implement the `Distribution` interface. This requires two special methods: `Distribution.from_logits()` and `Distribution.to_deterministic()`. See the documentation of the - :py:class:`~ray.rllib.models.distributions.Distribution` class for more details. + :py:class:`~ray.rllib.core.distribution.distribution.Distribution` class for + more details. """ raise NotImplementedError @@ -529,7 +530,8 @@ def get_train_action_dist_cls(self) -> Type[Distribution]: Note that RLlib's distribution classes all implement the `Distribution` interface. This requires two special methods: `Distribution.from_logits()` and `Distribution.to_deterministic()`. See the documentation of the - :py:class:`~ray.rllib.models.distributions.Distribution` class for more details. + :py:class:`~ray.rllib.core.distribution.distribution.Distribution` class for + more details. """ raise NotImplementedError @@ -563,8 +565,7 @@ def forward_inference(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: method instead. Args: - batch: The input batch. This input batch should comply with - input_specs_inference(). + batch: The input batch. **kwargs: Additional keyword arguments. Returns: @@ -592,13 +593,11 @@ def forward_exploration(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any] method instead. Args: - batch: The input batch. This input batch should comply with - input_specs_exploration(). + batch: The input batch. **kwargs: Additional keyword arguments. Returns: - The output of the forward pass. This output should comply with the - output_specs_exploration(). + The output of the forward pass. """ return self._forward_exploration(batch, **kwargs) @@ -621,13 +620,11 @@ def forward_train(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: method instead. Args: - batch: The input batch. This input batch should comply with - input_specs_train(). + batch: The input batch. **kwargs: Additional keyword arguments. Returns: - The output of the forward pass. This output should comply with the - output_specs_train(). + The output of the forward pass. """ if self.inference_only: raise RuntimeError( @@ -741,31 +738,33 @@ def unwrapped(self) -> "RLModule": """ return self + @Deprecated(error=False) + def output_specs_train(self): + pass + + @Deprecated(error=False) def output_specs_inference(self): - return [Columns.ACTION_DIST_INPUTS] + pass + @Deprecated(error=False) def output_specs_exploration(self): - return [Columns.ACTION_DIST_INPUTS] - - def output_specs_train(self): - """Returns the output specs of the forward_train method.""" - return {} + pass + @Deprecated(error=False) def input_specs_inference(self): - """Returns the input specs of the forward_inference method.""" - return self._default_input_specs() + pass + @Deprecated(error=False) def input_specs_exploration(self): - """Returns the input specs of the forward_exploration method.""" - return self._default_input_specs() + pass + @Deprecated(error=False) def input_specs_train(self): - """Returns the input specs of the forward_train method.""" - return self._default_input_specs() + pass + @Deprecated(error=False) def _default_input_specs(self): - """Returns the default input specs.""" - return [Columns.OBS] + pass @Deprecated( diff --git a/rllib/core/rl_module/torch/torch_rl_module.py b/rllib/core/rl_module/torch/torch_rl_module.py index a9e479b15688..236e35b4f48b 100644 --- a/rllib/core/rl_module/torch/torch_rl_module.py +++ b/rllib/core/rl_module/torch/torch_rl_module.py @@ -6,7 +6,7 @@ from ray.rllib.core.rl_module.apis import InferenceOnlyAPI from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.core.rl_module.torch.torch_compile_config import TorchCompileConfig -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDiagGaussian, TorchDistribution, @@ -146,11 +146,12 @@ def get_inference_action_dist_cls(self) -> Type[TorchDistribution]: f"Default action distribution for action space " f"{self.action_space} not supported! Either set the " f"`self.action_dist_cls` property in your RLModule's `setup()` method " - f"to a subclass of `ray.rllib.models.torch.torch_distributions." - f"TorchDistribution` or - if you need different distributions for " - f"inference and training - override the three methods: " - f"`get_inference_action_dist_cls`, `get_exploration_action_dist_cls`, " - f"and `get_train_action_dist_cls` in your RLModule." + f"to a subclass of `ray.rllib.core.distribution.torch." + f"torch_distribution.TorchDistribution` or - if you need different " + f"distributions for inference and training - override the three " + f"methods: `get_inference_action_dist_cls`," + f"`get_exploration_action_dist_cls`, and `get_train_action_dist_cls` " + f"in your RLModule." ) @OverrideToImplementCustomLogic diff --git a/rllib/core/testing/torch/bc_module.py b/rllib/core/testing/torch/bc_module.py index 5b28bb03176f..b3fc35556db6 100644 --- a/rllib/core/testing/torch/bc_module.py +++ b/rllib/core/testing/torch/bc_module.py @@ -2,7 +2,7 @@ from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.rl_module import RLModule -from ray.rllib.models.torch.torch_distributions import TorchCategorical +from ray.rllib.core.distribution.torch.torch_distribution import TorchCategorical from ray.rllib.core.rl_module.multi_rl_module import MultiRLModule from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule from ray.rllib.utils.annotations import override @@ -34,18 +34,6 @@ def get_exploration_action_dist_cls(self): def get_inference_action_dist_cls(self): return TorchCategorical - @override(RLModule) - def output_specs_exploration(self): - return [Columns.ACTION_DIST_INPUTS] - - @override(RLModule) - def output_specs_inference(self): - return [Columns.ACTION_DIST_INPUTS] - - @override(RLModule) - def output_specs_train(self): - return [Columns.ACTION_DIST_INPUTS] - @override(RLModule) def _forward_inference(self, batch: Dict[str, Any]) -> Dict[str, Any]: with torch.no_grad(): diff --git a/rllib/env/env_context.py b/rllib/env/env_context.py index 296246fe638c..2dbdae17c6ad 100644 --- a/rllib/env/env_context.py +++ b/rllib/env/env_context.py @@ -1,11 +1,11 @@ import copy from typing import Optional -from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.typing import EnvConfigDict +from ray.util.annotations import DeveloperAPI -@OldAPIStack +@DeveloperAPI class EnvContext(dict): """Wraps env configurations to include extra rllib metadata. diff --git a/rllib/examples/catalogs/custom_action_distribution.py b/rllib/examples/catalogs/custom_action_distribution.py index 3db0f987c4b3..8d9fcf3f680d 100644 --- a/rllib/examples/catalogs/custom_action_distribution.py +++ b/rllib/examples/catalogs/custom_action_distribution.py @@ -12,8 +12,8 @@ from ray.rllib.algorithms.ppo.ppo import PPOConfig from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog from ray.rllib.core.rl_module.rl_module import RLModuleSpec -from ray.rllib.models.distributions import Distribution -from ray.rllib.models.torch.torch_distributions import TorchDeterministic +from ray.rllib.core.distribution.distribution import Distribution +from ray.rllib.core.distribution.torch.torch_distribution import TorchDeterministic # Define a simple categorical distribution that can be used for PPO diff --git a/rllib/examples/multi_agent/self_play_with_open_spiel.py b/rllib/examples/multi_agent/self_play_with_open_spiel.py index 8f9d22e39744..f55208ac0fa0 100644 --- a/rllib/examples/multi_agent/self_play_with_open_spiel.py +++ b/rllib/examples/multi_agent/self_play_with_open_spiel.py @@ -103,6 +103,9 @@ def agent_to_module_mapping_fn(agent_id, episode, **kwargs): return "main" if hash(episode.id_) % 2 == agent_id else "random" def policy_mapping_fn(agent_id, episode, worker, **kwargs): + # e.g. episode ID = 10234 + # -> agent `0` -> main (b/c epsID % 2 == 0) + # -> agent `1` -> random (b/c epsID % 2 == 1) return "main" if episode.episode_id % 2 == agent_id else "random" config = ( diff --git a/rllib/examples/multi_agent/utils/self_play_callback.py b/rllib/examples/multi_agent/utils/self_play_callback.py index 436c3c2d1982..99b6abc8a59a 100644 --- a/rllib/examples/multi_agent/utils/self_play_callback.py +++ b/rllib/examples/multi_agent/utils/self_play_callback.py @@ -38,6 +38,7 @@ def on_episode_end( metrics_logger.log_value( "win_rate", main_won, + reduce="mean", window=100, ) diff --git a/rllib/examples/rl_modules/classes/autoregressive_actions_rlm.py b/rllib/examples/rl_modules/classes/autoregressive_actions_rlm.py index 95293194a41f..e9449d61b9b3 100644 --- a/rllib/examples/rl_modules/classes/autoregressive_actions_rlm.py +++ b/rllib/examples/rl_modules/classes/autoregressive_actions_rlm.py @@ -6,7 +6,7 @@ from ray.rllib.core.rl_module.apis.value_function_api import ValueFunctionAPI from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDiagGaussian, TorchMultiDistribution, diff --git a/rllib/examples/rl_modules/classes/custom_action_distribution_rlm.py b/rllib/examples/rl_modules/classes/custom_action_distribution_rlm.py index cd2a401edeba..a9c6e26d94c0 100644 --- a/rllib/examples/rl_modules/classes/custom_action_distribution_rlm.py +++ b/rllib/examples/rl_modules/classes/custom_action_distribution_rlm.py @@ -1,7 +1,7 @@ from typing import Any, Dict, Optional from ray.rllib.core.columns import Columns -from ray.rllib.models.torch.torch_distributions import TorchCategorical +from ray.rllib.core.distribution.torch.torch_distribution import TorchCategorical from ray.rllib.core.rl_module.apis import ValueFunctionAPI from ray.rllib.core.rl_module.torch import TorchRLModule from ray.rllib.utils.annotations import override diff --git a/rllib/examples/rl_modules/classes/modelv2_to_rlm.py b/rllib/examples/rl_modules/classes/modelv2_to_rlm.py index 4cfa6d34d67d..10eaf2238d9a 100644 --- a/rllib/examples/rl_modules/classes/modelv2_to_rlm.py +++ b/rllib/examples/rl_modules/classes/modelv2_to_rlm.py @@ -5,7 +5,7 @@ from ray.rllib.core import Columns, DEFAULT_POLICY_ID from ray.rllib.core.rl_module.apis import ValueFunctionAPI from ray.rllib.core.rl_module.torch import TorchRLModule -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDiagGaussian, TorchMultiCategorical, diff --git a/rllib/examples/rl_modules/classes/random_rlm.py b/rllib/examples/rl_modules/classes/random_rlm.py index e35292e212cf..a3c230ab7a4a 100644 --- a/rllib/examples/rl_modules/classes/random_rlm.py +++ b/rllib/examples/rl_modules/classes/random_rlm.py @@ -26,14 +26,6 @@ def _forward_train(self, *args, **kwargs): # NOT including the ModuleID of this RLModule])` raise NotImplementedError("Random RLModule: Should not be trained!") - @override(RLModule) - def output_specs_inference(self): - return [SampleBatch.ACTIONS] - - @override(RLModule) - def output_specs_exploration(self): - return [SampleBatch.ACTIONS] - def compile(self, *args, **kwargs): """Dummy method for compatibility with TorchRLModule. diff --git a/rllib/examples/rl_modules/classes/rock_paper_scissors_heuristic_rlm.py b/rllib/examples/rl_modules/classes/rock_paper_scissors_heuristic_rlm.py index f4b3d661f4de..644fe01c6653 100644 --- a/rllib/examples/rl_modules/classes/rock_paper_scissors_heuristic_rlm.py +++ b/rllib/examples/rl_modules/classes/rock_paper_scissors_heuristic_rlm.py @@ -39,14 +39,6 @@ def _forward_train(self, batch, **kwargs): "in your `config.multi_agent(policies_to_train={...})` set." ) - @override(RLModule) - def output_specs_inference(self): - return [Columns.ACTIONS] - - @override(RLModule) - def output_specs_exploration(self): - return [Columns.ACTIONS] - class BeatLastHeuristicRLM(RLModule): """In rock-paper-scissors, always acts such that it beats prev. move of opponent. @@ -88,14 +80,6 @@ def _forward_train(self, batch, **kwargs): "your `config.multi_agent(policies_to_train={...})` set." ) - @override(RLModule) - def output_specs_inference(self): - return [Columns.ACTIONS] - - @override(RLModule) - def output_specs_exploration(self): - return [Columns.ACTIONS] - @staticmethod def _pick_single_action(prev_opponent_obs): if prev_opponent_obs == 0: diff --git a/rllib/models/tests/test_distributions.py b/rllib/models/tests/test_distributions.py index fee6edf9ccce..5a519031f6ae 100644 --- a/rllib/models/tests/test_distributions.py +++ b/rllib/models/tests/test_distributions.py @@ -3,7 +3,7 @@ import unittest import math -from ray.rllib.models.torch.torch_distributions import ( +from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, TorchDiagGaussian, TorchDeterministic, From 806c057d8894e10e749cec8ab38e575a3691c2f8 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Mon, 4 Aug 2025 05:48:43 -0700 Subject: [PATCH 0459/1566] [serve] Fix semaphore allowing more than max_value workers to acquire it (#55147) ## Why are these changes needed? Semaphore may wake up more waiters than it should. This PR fixes that, ensuring only max_value workers can acquire the semaphore at a time. --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/utils.py | 2 +- python/ray/serve/tests/test_util.py | 131 ++++++++++++++++++++++++++++ 2 files changed, 132 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/_private/utils.py b/python/ray/serve/_private/utils.py index ea12e4fe931c..3cfad95ff0cd 100644 --- a/python/ray/serve/_private/utils.py +++ b/python/ray/serve/_private/utils.py @@ -715,7 +715,7 @@ async def acquire(self): self._wake_up_next() raise - if self._value > 0: + if self._value < self.get_max_value(): self._wake_up_next() return True diff --git a/python/ray/serve/tests/test_util.py b/python/ray/serve/tests/test_util.py index 64e5d288fd04..8e2395636664 100644 --- a/python/ray/serve/tests/test_util.py +++ b/python/ray/serve/tests/test_util.py @@ -11,6 +11,7 @@ from ray import serve from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray.serve._private.utils import ( + Semaphore, calculate_remaining_timeout, get_all_live_placement_group_names, get_current_actor_id, @@ -479,6 +480,136 @@ def call_get_current_actor_id(self): assert get_current_actor_id() == "DRIVER" +@pytest.mark.asyncio +async def test_semaphore(): + """Test core Semaphore functionality.""" + max_value = 2 + sema = Semaphore(get_value_fn=lambda: max_value) + + # Test get_max_value functionality + assert sema.get_max_value() == max_value + + # Initially, semaphore should not be locked and should allow acquisitions + assert not sema.locked() + + # Acquire one + await sema.acquire() + assert not sema.locked() + assert sema._value == 1 + + # Acquire one + await sema.acquire() + assert sema.locked() # Should now be locked (2 out of 2) + assert sema._value == 2 + + # Release one + sema.release() + assert not sema.locked() # Should not be locked anymore (1 out of 2) + assert sema._value == 1 + + # Acquire one + await sema.acquire() + assert sema.locked() + assert sema._value == 2 + + +@pytest.mark.asyncio +async def test_semaphore_waiters_and_single_release(): + """Test that release() wakes up exactly one waiter.""" + max_value = 1 + sema = Semaphore(get_value_fn=lambda: max_value) + + # Fill the semaphore to capacity + await sema.acquire() + assert sema.locked() + assert sema._value == 1 + + # Create multiple waiters + waiters_completed = [] + + async def waiter(waiter_id): + await sema.acquire() + waiters_completed.append(waiter_id) + + # Start 2 waiters that will all block + waiter_tasks = [ + asyncio.create_task(waiter(1)), + asyncio.create_task(waiter(2)), + ] + + # Yield the event loop + await asyncio.sleep(0.01) + + # Verify they are all waiting + assert len(waiters_completed) == 0 + assert sema.locked() + assert len(sema._waiters) == 2 + + # Release once - this should wake up exactly ONE waiter + sema.release() + await asyncio.sleep(0.01) + + # Verify exactly one waiter was woken up and completed + assert len(waiters_completed) == 1 + assert sema._value == 1 + assert sema.locked() + assert len(sema._waiters) == 1 + + # Release again - should wake up exactly one more waiter + sema.release() + await asyncio.sleep(0.01) + + # Verify exactly one more waiter was woken up + assert len(waiters_completed) == 2 + assert sema._value == 1 + assert sema.locked() + assert len(sema._waiters) == 0 + + assert len(await asyncio.gather(*waiter_tasks)) == 2 + + +@pytest.mark.asyncio +async def test_semaphore_dynamic_max_value(): + """Test that Semaphore respects dynamic changes to max_value.""" + current_max = 2 + + def get_dynamic_max(): + return current_max + + sema = Semaphore(get_value_fn=get_dynamic_max) + + # Initially max is 2 + assert sema.get_max_value() == 2 + + # Acquire up to the limit + await sema.acquire() + await sema.acquire() + assert sema.locked() + + # Increase the max value dynamically + current_max = 3 + assert sema.get_max_value() == 3 + assert not sema.locked() + + # Should be able to acquire one more + await sema.acquire() + assert sema.locked() + assert sema._value == 3 + + # Decrease the max value + current_max = 1 + assert sema.get_max_value() == 1 + assert sema.locked() + + # Release to get back within limits + sema.release() + sema.release() + assert sema.locked() + sema.release() + assert not sema.locked() + assert sema._value == 0 + + if __name__ == "__main__": import sys From 85fe3f6fe75631c7275bd5b1a0ce98231aa911ae Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 4 Aug 2025 07:49:44 -0700 Subject: [PATCH 0460/1566] [image] follow constraint file when installing dependencies (#55173) and do not upgrade pip and pip-tools. otherwise, it is creating inconsistencies between `ray` and `ray-ml` images. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/ray-ml/install-ml-docker-requirements.sh | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/docker/ray-ml/install-ml-docker-requirements.sh b/docker/ray-ml/install-ml-docker-requirements.sh index 9de0923d92de..8f40beb9ca92 100755 --- a/docker/ray-ml/install-ml-docker-requirements.sh +++ b/docker/ray-ml/install-ml-docker-requirements.sh @@ -19,13 +19,11 @@ sudo apt-get update \ unrar \ zlib1g-dev -pip --no-cache-dir install -U pip pip-tools - # Install requirements -pip --no-cache-dir install -U -r requirements.txt +pip --no-cache-dir install -r requirements.txt -c requirements_compiled.txt # Install other requirements. Keep pinned requirements bounds as constraints -pip --no-cache-dir install -U \ +pip --no-cache-dir install \ -c requirements.txt \ -c requirements_compiled.txt \ -r dl-cpu-requirements.txt \ From 85783239c3297470026e4de6cdc7f70445b8e21c Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Mon, 4 Aug 2025 21:34:26 +0530 Subject: [PATCH 0461/1566] [core] Add Subprocess Error Logging and Extend Timeout in test_node_labels (#55191) Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- python/ray/tests/conftest.py | 9 ++++++++- python/ray/tests/test_node_labels.py | 2 +- 2 files changed, 9 insertions(+), 2 deletions(-) diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index ad2a46642289..8adc4348b3aa 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -787,11 +787,18 @@ def call_ray_start_context(request): parameter = parameter.get("cmd", default_cmd) command_args = parameter.split(" ") - try: out = ray._common.utils.decode( subprocess.check_output(command_args, stderr=subprocess.STDOUT, env=env) ) + # If the exit code is non-zero subprocess.check_output raises a CalledProcessError + except subprocess.CalledProcessError as e: + print("Ray start cmd failed!") + print(f"Command: {' '.join(e.cmd)}") + print(f"Exit code: {e.returncode}") + if e.output: + print(f"Output:\n{e.output.decode()}") + raise except Exception as e: print(type(e), e) raise diff --git a/python/ray/tests/test_node_labels.py b/python/ray/tests/test_node_labels.py index 0761af137ed8..611639f14b79 100644 --- a/python/ray/tests/test_node_labels.py +++ b/python/ray/tests/test_node_labels.py @@ -133,7 +133,7 @@ def test_autoscaler_set_node_labels(autoscaler_v2, shutdown_only): try: cluster.start() ray.init() - wait_for_condition(lambda: len(ray.nodes()) == 2) + wait_for_condition(lambda: len(ray.nodes()) == 2, timeout=20) for node in ray.nodes(): if node["Resources"].get("CPU", 0) == 1: From bd3672eb63fbae3aae42938899b8e2061b3da870 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Mon, 4 Aug 2025 21:34:34 +0530 Subject: [PATCH 0462/1566] [core] Hide the exposure of TaskProfileEvent in the aggregator endpoint (#55089) To block the exposure of tastProfileEvents through aggregator agent. This is done by creating a new env config: RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES which specifies the list of event types which can be exposed. I am using a generic config instead of a config specific to taskProfileEvents so that this can be used for other event types as well. Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 84 ++++++++++-- .../aggregator/tests/test_aggregator_agent.py | 126 ++++++++++++++---- src/ray/protobuf/events_base_event.proto | 4 + 3 files changed, 175 insertions(+), 39 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index f6c3f240da76..48feb2aea84f 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -27,6 +27,7 @@ from ray.core.generated import ( events_event_aggregator_service_pb2, events_event_aggregator_service_pb2_grpc, + events_base_event_pb2, ) logger = logging.getLogger(__name__) @@ -75,6 +76,15 @@ METRICS_UPDATE_INTERVAL_SECONDS = ray_constants.env_float( f"{env_var_prefix}_METRICS_UPDATE_INTERVAL_SECONDS", 0.1 ) +# Event filtering configurations +# Comma-separated list of event types that are allowed to be exposed to external services +# Valid values: TASK_DEFINITION_EVENT, TASK_EXECUTION_EVENT, ACTOR_TASK_DEFINITION_EVENT, ACTOR_TASK_EXECUTION_EVENT +# The list of all supported event types can be found in src/ray/protobuf/events_base_event.proto (EventType enum) +# By default TASK_PROFILE_EVENT is not exposed to external services +DEFAULT_EXPOSABLE_EVENT_TYPES = "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT" +EXPOSABLE_EVENT_TYPES = os.environ.get( + f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES +) # Metrics if prometheus_client: @@ -103,6 +113,12 @@ tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), namespace="ray", ) + events_filtered_out = Counter( + f"{metrics_prefix}_events_filtered_out", + "Total number of events filtered out before publishing to external server.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) class AggregatorAgent( @@ -115,7 +131,7 @@ class AggregatorAgent( external service with HTTP POST requests for further processing or storage """ - def __init__(self, dashboard_agent): + def __init__(self, dashboard_agent) -> None: super().__init__(dashboard_agent) self._ip = dashboard_agent.ip self._pid = os.getpid() @@ -143,6 +159,7 @@ def __init__(self, dashboard_agent): self._events_dropped_at_core_worker_since_last_metrics_update = 0 self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 self._events_published_since_last_metrics_update = 0 + self._events_filtered_out_since_last_metrics_update = 0 self._orig_sigterm_handler = signal.signal( signal.SIGTERM, self._sigterm_handler @@ -151,7 +168,13 @@ def __init__(self, dashboard_agent): self._is_cleanup = False self._cleanup_finished_event = threading.Event() - async def AddEvents(self, request, context): + self._exposable_event_types = { + event_type.strip() + for event_type in EXPOSABLE_EVENT_TYPES.split(",") + if event_type.strip() + } + + async def AddEvents(self, request, context) -> None: """ gRPC handler for adding events to the event aggregator """ @@ -218,24 +241,54 @@ def _receive_events(self, request): ) return events_event_aggregator_service_pb2.AddEventsReply(status=status) - def _send_events_to_external_service(self, event_batch): + def _can_expose_event(self, event) -> bool: + """ + Check if an event should be allowed to be sent to external services. + """ + return ( + events_base_event_pb2.RayEvent.EventType.Name(event.event_type) + in self._exposable_event_types + ) + + def _send_events_to_external_service(self, event_batch) -> None: """ Sends a batch of events to the external service via HTTP POST request """ if not event_batch: return + + filtered_event_batch = [ + event for event in event_batch if self._can_expose_event(event) + ] + if not filtered_event_batch: + # All events were filtered out, update metrics and return to avoid an empty POST. + with self._lock: + self._events_filtered_out_since_last_metrics_update += len(event_batch) + event_batch.clear() + return + + # Convert protobuf objects to JSON dictionaries for HTTP POST + filtered_event_batch_json = [ + json.loads(MessageToJson(event)) for event in filtered_event_batch + ] + try: response = self._http_session.post( - f"{EVENT_SEND_ADDR}:{EVENT_SEND_PORT}", json=event_batch + f"{EVENT_SEND_ADDR}:{EVENT_SEND_PORT}", json=filtered_event_batch_json ) response.raise_for_status() with self._lock: - self._events_published_since_last_metrics_update += len(event_batch) + self._events_published_since_last_metrics_update += len( + filtered_event_batch + ) + self._events_filtered_out_since_last_metrics_update += len( + event_batch + ) - len(filtered_event_batch) event_batch.clear() except Exception as e: logger.error("Failed to send events to external service. Error: %s", e) - def _publish_events(self): + def _publish_events(self) -> None: """ Continuously publishes events from the event buffer to the external service """ @@ -245,7 +298,7 @@ def _publish_events(self): while len(event_batch) < MAX_EVENT_SEND_BATCH_SIZE: try: event_proto = self._event_buffer.get(block=False) - event_batch.append(json.loads(MessageToJson((event_proto)))) + event_batch.append(event_proto) except queue.Empty: break @@ -261,7 +314,7 @@ def _publish_events(self): self._send_events_to_external_service(event_batch) return - def _update_metrics(self): + def _update_metrics(self) -> None: """ Updates the Prometheus metrics """ @@ -277,11 +330,13 @@ def _update_metrics(self): self._events_dropped_at_event_aggregator_since_last_metrics_update ) _events_published = self._events_published_since_last_metrics_update + _events_filtered_out = self._events_filtered_out_since_last_metrics_update self._events_received_since_last_metrics_update = 0 self._events_dropped_at_core_worker_since_last_metrics_update = 0 self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 self._events_published_since_last_metrics_update = 0 + self._events_filtered_out_since_last_metrics_update = 0 labels = { "ip": self._ip, @@ -298,8 +353,9 @@ def _update_metrics(self): _events_dropped_at_event_aggregator ) events_published.labels(**labels).inc(_events_published) + events_filtered_out.labels(**labels).inc(_events_filtered_out) - def _check_main_thread_liveness(self): + def _check_main_thread_liveness(self) -> None: """ Continuously checks if the main thread is alive. If the main thread is not alive, it sets the stop event to trigger cleanup and shutdown of the agent. @@ -312,7 +368,7 @@ def _check_main_thread_liveness(self): break time.sleep(CHECK_MAIN_THREAD_LIVENESS_INTERVAL_SECONDS) - def _cleanup(self): + def _cleanup(self) -> None: """ Cleans up the aggregator agent by stopping the publisher threads, sending any remaining events in the buffer, and updating metrics. @@ -334,7 +390,7 @@ def _cleanup(self): while True: try: event_proto = self._event_buffer.get(block=False) - event_batch.append(json.loads(MessageToJson((event_proto)))) + event_batch.append(event_proto) except: # noqa: E722 break @@ -348,12 +404,12 @@ def _cleanup(self): self._cleanup_finished_event.set() - def _sigterm_handler(self, signum, frame): + def _sigterm_handler(self, signum: int, frame) -> None: self._stop_event.set() self._cleanup() self._orig_sigterm_handler(signum, frame) - async def run(self, server): + async def run(self, server) -> None: if server: events_event_aggregator_service_pb2_grpc.add_EventAggregatorServiceServicer_to_server( self, server @@ -380,5 +436,5 @@ async def run(self, server): await asyncio.sleep(METRICS_UPDATE_INTERVAL_SECONDS) @staticmethod - def is_minimal_module(): + def is_minimal_module() -> bool: return False diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index d3397b597bd7..b7442c822043 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -134,7 +134,9 @@ def test_aggregator_agent_receive_publish_events_normally( { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( + _EVENT_AGGREGATOR_AGENT_TARGET_PORT + ), }, }, ], @@ -289,7 +291,9 @@ def test_aggregator_agent_receive_multiple_events( { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( + _EVENT_AGGREGATOR_AGENT_TARGET_PORT + ), }, }, ], @@ -367,9 +371,10 @@ def test_aggregator_agent_receive_empty_events( @_with_aggregator_port -def test_aggregator_agent_receive_profile_events( +def test_aggregator_agent_profile_events_not_exposed( ray_start_cluster_head_with_env_vars, httpserver ): + """Test that profile events are not sent when not in exposable event types.""" cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id @@ -377,38 +382,21 @@ def test_aggregator_agent_receive_profile_events( httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - test_time = 1751302230130457542 - seconds, nanos = (test_time // 10**9, test_time % 10**9) + now = time.time_ns() + seconds, nanos = divmod(now, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) request = AddEventsRequest( events_data=RayEventsData( events=[ + _create_profile_event_request(), RayEvent( event_id=b"1", source_type=RayEvent.SourceType.CORE_WORKER, - event_type=RayEvent.EventType.TASK_PROFILE_EVENT, + event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, timestamp=timestamp, severity=RayEvent.Severity.INFO, - message="profile event test", - task_profile_events=TaskProfileEvents( - task_id=b"100", - attempt_number=3, - job_id=b"200", - profile_events=ProfileEvents( - component_type="worker", - component_id=b"worker_123", - node_ip_address="127.0.0.1", - events=[ - ProfileEventEntry( - start_time=1751302230130000000, - end_time=1751302230131000000, - event_name="task_execution", - extra_data='{"cpu_usage": 0.8}', - ) - ], - ), - ), + message="event1", ), ], task_events_metadata=TaskEventsMetadata( @@ -421,11 +409,99 @@ def test_aggregator_agent_receive_profile_events( assert reply.status.code == 0 assert reply.status.message == "all events received" + # Wait for exactly one event to be received (the TASK_DEFINITION_EVENT) + wait_for_condition(lambda: len(httpserver.log) == 1) + + # Verify that only the TASK_DEFINITION_EVENT was sent, not the profile event + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + + assert len(req_json) == 1 + assert req_json[0]["message"] == "event1" + assert req_json[0]["eventType"] == "TASK_DEFINITION_EVENT" + + +@pytest.mark.parametrize( + "ray_start_cluster_head_with_env_vars", + [ + { + "env_vars": { + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( + _EVENT_AGGREGATOR_AGENT_TARGET_PORT + ), + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT,TASK_PROFILE_EVENT", + }, + }, + ], + indirect=True, +) +def test_aggregator_agent_receive_profile_events( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + ) + + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + + request = AddEventsRequest( + events_data=RayEventsData( + events=[_create_profile_event_request()], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + + reply = stub.AddEvents(request) + assert reply.status.code == 0 + assert reply.status.message == "all events received" + wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) + _verify_profile_event_json(req_json) + + +def _create_profile_event_request(): + """Helper function to create a profile event request.""" + test_time = 1751302230130457542 + seconds, nanos = (test_time // 10**9, test_time % 10**9) + timestamp = Timestamp(seconds=seconds, nanos=nanos) + + return RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_PROFILE_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + message="profile event test", + task_profile_events=TaskProfileEvents( + task_id=b"100", + attempt_number=3, + job_id=b"200", + profile_events=ProfileEvents( + component_type="worker", + component_id=b"worker_123", + node_ip_address="127.0.0.1", + events=[ + ProfileEventEntry( + start_time=1751302230130000000, + end_time=1751302230131000000, + event_name="task_execution", + extra_data='{"cpu_usage": 0.8}', + ) + ], + ), + ), + ) + + +def _verify_profile_event_json(req_json): + """Helper function to verify profile event JSON structure.""" assert len(req_json) == 1 assert req_json[0]["eventId"] == base64.b64encode(b"1").decode() assert req_json[0]["sourceType"] == "CORE_WORKER" diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index bbedfe4a1b9c..aac704ef6e25 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -37,6 +37,10 @@ message RayEvent { } // The potential types of events that can be generated. + // NOTE: When adding a new event type below, if the event should be exposed to external services, + // also update the DEFAULT_EXPOSABLE_EVENT_TYPES list in + // python/ray/dashboard/modules/aggregator/aggregator_agent.py accordingly. + // This ensures the new event type can be published externally if intended. enum EventType { EVENT_TYPE_UNSPECIFIED = 0; TASK_DEFINITION_EVENT = 1; From 45ab38f68c4983edc7621df5b4a3a66efb59d1aa Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 4 Aug 2025 11:06:48 -0500 Subject: [PATCH 0463/1566] [core] Rename `BUILD` files to `BUILD.bazel` for consistency (#55197) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/cgroup2/{BUILD => BUILD.bazel} | 0 src/ray/common/cgroup2/test/{BUILD => BUILD.bazel} | 0 src/ray/rpc/test/{BUILD => BUILD.bazel} | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename src/ray/common/cgroup2/{BUILD => BUILD.bazel} (100%) rename src/ray/common/cgroup2/test/{BUILD => BUILD.bazel} (100%) rename src/ray/rpc/test/{BUILD => BUILD.bazel} (100%) diff --git a/src/ray/common/cgroup2/BUILD b/src/ray/common/cgroup2/BUILD.bazel similarity index 100% rename from src/ray/common/cgroup2/BUILD rename to src/ray/common/cgroup2/BUILD.bazel diff --git a/src/ray/common/cgroup2/test/BUILD b/src/ray/common/cgroup2/test/BUILD.bazel similarity index 100% rename from src/ray/common/cgroup2/test/BUILD rename to src/ray/common/cgroup2/test/BUILD.bazel diff --git a/src/ray/rpc/test/BUILD b/src/ray/rpc/test/BUILD.bazel similarity index 100% rename from src/ray/rpc/test/BUILD rename to src/ray/rpc/test/BUILD.bazel From bf77dd935bbd2aa94a9d2a2ea16296a8d409819c Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Mon, 4 Aug 2025 09:28:38 -0700 Subject: [PATCH 0464/1566] Upgrade g3 to g4 machine for aws release test (#55107) 1. Previous release tests(e.g. #55099 and #55005 ) became flaky because of stock out of g3 machine type in us-west-2 in AWS. `api error InsufficientInstanceCapacity: We currently do not have sufficient g3.8xlarge capacity in the Availability Zone you requested (us-west-2d)` 2. This is the change to g4dn machine which has a similar memory but if a newer generation. Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/long_running_distributed_tests/compute_tpl.yaml | 4 ++-- release/ml_user_tests/train/compute_tpl_aws.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/release/long_running_distributed_tests/compute_tpl.yaml b/release/long_running_distributed_tests/compute_tpl.yaml index 68c144d651d3..eeddb564147f 100644 --- a/release/long_running_distributed_tests/compute_tpl.yaml +++ b/release/long_running_distributed_tests/compute_tpl.yaml @@ -5,11 +5,11 @@ max_workers: 3 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge min_workers: 2 max_workers: 2 use_spot: false diff --git a/release/ml_user_tests/train/compute_tpl_aws.yaml b/release/ml_user_tests/train/compute_tpl_aws.yaml index 1e242bd60af9..ad9beedcc2fc 100644 --- a/release/ml_user_tests/train/compute_tpl_aws.yaml +++ b/release/ml_user_tests/train/compute_tpl_aws.yaml @@ -5,11 +5,11 @@ max_workers: 2 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge min_workers: 2 max_workers: 2 use_spot: false From 1f096e16c08c550e2cf627ae2857d5d8e2533924 Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Mon, 4 Aug 2025 09:37:25 -0700 Subject: [PATCH 0465/1566] [train] Fix the xgboost v2 callback (#54787) 1. in the ray train [revamp REP](https://github.com/ray-project/enhancements/blob/main/reps/2024-10-18-train-tune-api-revamp/2024-10-18-train-tune-api-revamp.md#tune-only-usage), we decouple the ray train/ray tune dependency. 2. Hence, when using RayTrainReportCallback when reporting metrics or checkpoint: e.g. in this [line](https://github.com/ray-project/ray/blob/master/python/ray/train/xgboost/_xgboost_utils.py#L170), the v2 context api will throw [RuntimeError](https://github.com/ray-project/ray/blob/master/python/ray/train/v2/_internal/execution/context.py#L279-L283). 3. In V1 this issue is mitigated by [switch to Tune Context](https://github.com/ray-project/ray/blob/master/python/ray/train/context.py#L126-L128) when train.get_context() is called. 4. In order to make the xgboost tune only usage callback continue working, hence the bypass the use `_is_tune_session()` to get context for this callback explicitly if this is used in tune only when we trying to get train context in V2 manner and resolve ray.tune.report is tune only based on migration example [here](https://github.com/ray-project/enhancements/blob/main/reps/2024-10-18-train-tune-api-revamp/2024-10-18-train-tune-api-revamp.md#tune-only-usage). Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 6 - python/ray/train/xgboost/_xgboost_utils.py | 218 ++++++++++++--------- python/ray/tune/integration/xgboost.py | 96 ++++++++- 3 files changed, 222 insertions(+), 98 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index ecc256fe21c0..5461deb2c6b0 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -125,9 +125,6 @@ python/ray/_private/resource_isolation_config.py DOC103: Method `ResourceIsolationConfig.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [cgroup_path: Optional[str], enable_resource_isolation: bool, system_reserved_cpu: Optional[float], system_reserved_memory: Optional[int]]. DOC201: Method `ResourceIsolationConfig._validate_and_get_system_reserved_cpu` does not have a return section in docstring -------------------- -python/ray/_private/resource_spec.py - DOC201: Method `ResourceSpec.resolve` does not have a return section in docstring --------------------- python/ray/_private/runtime_env/agent/runtime_env_agent.py DOC101: Method `RuntimeEnvAgent.__init__`: Docstring contains fewer arguments than in function signature. DOC107: Method `RuntimeEnvAgent.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints @@ -2101,9 +2098,6 @@ python/ray/train/v2/xgboost/xgboost_trainer.py DOC101: Method `XGBoostTrainer.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `XGBoostTrainer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [label_column: Optional[str], num_boost_round: Optional[int], params: Optional[Dict[str, Any]]]. -------------------- -python/ray/train/xgboost/_xgboost_utils.py - DOC201: Method `RayTrainReportCallback.get_model` does not have a return section in docstring --------------------- python/ray/train/xgboost/v2.py DOC104: Method `XGBoostTrainer.__init__`: Arguments are the same in the docstring and the function signature, but are in a different order. DOC105: Method `XGBoostTrainer.__init__`: Argument names match, but type hints in these args do not match: train_loop_per_worker, train_loop_config, xgboost_config, scaling_config, run_config, datasets, dataset_config, metadata, resume_from_checkpoint diff --git a/python/ray/train/xgboost/_xgboost_utils.py b/python/ray/train/xgboost/_xgboost_utils.py index 459dfcf07a22..e200e073f0f2 100644 --- a/python/ray/train/xgboost/_xgboost_utils.py +++ b/python/ray/train/xgboost/_xgboost_utils.py @@ -1,4 +1,5 @@ import tempfile +from abc import abstractmethod from collections import OrderedDict from contextlib import contextmanager from pathlib import Path @@ -19,81 +20,7 @@ class TrainingCallback: pass -class TuneCallback(TrainingCallback): - # TODO(justinvyu): [code_removal] Remove this after enforcing min xgboost version. - """Base class for Tune's XGBoost callbacks.""" - - def __call__(self, env): - """Compatibility with xgboost<1.3""" - return self.after_iteration( - env.model, env.iteration, env.evaluation_result_list - ) - - def after_iteration(self, model: Booster, epoch: int, evals_log: Dict): - raise NotImplementedError - - -@PublicAPI(stability="beta") -class RayTrainReportCallback(TuneCallback): - """XGBoost callback to save checkpoints and report metrics. - - Args: - metrics: Metrics to report. If this is a list, - each item describes the metric key reported to XGBoost, - and it will be reported under the same name. - This can also be a dict of {: }, - which can be used to rename xgboost default metrics. - filename: Customize the saved checkpoint file type by passing - a filename. Defaults to "model.ubj". - frequency: How often to save checkpoints, in terms of iterations. - Defaults to 0 (no checkpoints are saved during training). - checkpoint_at_end: Whether or not to save a checkpoint at the end of training. - results_postprocessing_fn: An optional Callable that takes in - the metrics dict that will be reported (after it has been flattened) - and returns a modified dict. For example, this can be used to - average results across CV fold when using ``xgboost.cv``. - - Examples - -------- - - Reporting checkpoints and metrics to Ray Tune when running many - independent xgboost trials (without data parallelism within a trial). - - .. testcode:: - :skipif: True - - import xgboost - - from ray.tune import Tuner - from ray.train.xgboost import RayTrainReportCallback - - def train_fn(config): - # Report log loss to Ray Tune after each validation epoch. - bst = xgboost.train( - ..., - callbacks=[ - RayTrainReportCallback( - metrics={"loss": "eval-logloss"}, frequency=1 - ) - ], - ) - - tuner = Tuner(train_fn) - results = tuner.fit() - - Loading a model from a checkpoint reported by this callback. - - .. testcode:: - :skipif: True - - from ray.train.xgboost import RayTrainReportCallback - - # Get a `Checkpoint` object that is saved by the callback during training. - result = trainer.fit() - booster = RayTrainReportCallback.get_model(result.checkpoint) - - """ - +class RayReportCallback(TrainingCallback): CHECKPOINT_NAME = "model.ubj" def __init__( @@ -124,7 +51,9 @@ def __init__( @classmethod def get_model( - cls, checkpoint: Checkpoint, filename: str = CHECKPOINT_NAME + cls, + checkpoint: Checkpoint, + filename: str = CHECKPOINT_NAME, ) -> Booster: """Retrieve the model stored in a checkpoint reported by this callback. @@ -133,6 +62,9 @@ def get_model( The checkpoint should be saved by an instance of this callback. filename: The filename to load the model from, which should match the filename used when creating the callback. + + Returns: + The model loaded from the checkpoint. """ with checkpoint.as_directory() as checkpoint_path: booster = Booster() @@ -164,15 +96,29 @@ def _get_report_dict(self, evals_log): return report_dict - @contextmanager + @abstractmethod def _get_checkpoint(self, model: Booster) -> Optional[Checkpoint]: - # NOTE: The world rank returns None for Tune usage without Train. - if ray.train.get_context().get_world_rank() in (0, None): - with tempfile.TemporaryDirectory() as temp_checkpoint_dir: - model.save_model(Path(temp_checkpoint_dir, self._filename).as_posix()) - yield Checkpoint(temp_checkpoint_dir) - else: - yield None + """Get checkpoint from model. + + This method needs to be implemented by subclasses. + """ + raise NotImplementedError + + @abstractmethod + def _save_and_report_checkpoint(self, report_dict: Dict, model: Booster): + """Save checkpoint and report metrics corresonding to this checkpoint. + + This method needs to be implemented by subclasses. + """ + raise NotImplementedError + + @abstractmethod + def _report_metrics(self, report_dict: Dict): + """Report Metrics. + + This method needs to be implemented by subclasses. + """ + raise NotImplementedError def after_iteration(self, model: Booster, epoch: int, evals_log: Dict): self._evals_log = evals_log @@ -186,10 +132,10 @@ def after_iteration(self, model: Booster, epoch: int, evals_log: Dict): report_dict = self._get_report_dict(evals_log) if should_checkpoint: self._last_checkpoint_iteration = epoch - with self._get_checkpoint(model=model) as checkpoint: - ray.train.report(report_dict, checkpoint=checkpoint) + self._save_and_report_checkpoint(report_dict, model) + else: - ray.train.report(report_dict) + self._report_metrics(report_dict) def after_training(self, model: Booster) -> Booster: if not self._checkpoint_at_end: @@ -204,7 +150,103 @@ def after_training(self, model: Booster) -> Booster: return model report_dict = self._get_report_dict(self._evals_log) if self._evals_log else {} + self._save_and_report_checkpoint(report_dict, model) + + return model + + +@PublicAPI(stability="beta") +class RayTrainReportCallback(RayReportCallback): + """XGBoost callback to save checkpoints and report metrics. + + Args: + metrics: Metrics to report. If this is a list, + each item describes the metric key reported to XGBoost, + and it will be reported under the same name. + This can also be a dict of {: }, + which can be used to rename xgboost default metrics. + filename: Customize the saved checkpoint file type by passing + a filename. Defaults to "model.ubj". + frequency: How often to save checkpoints, in terms of iterations. + Defaults to 0 (no checkpoints are saved during training). + checkpoint_at_end: Whether or not to save a checkpoint at the end of training. + results_postprocessing_fn: An optional Callable that takes in + the metrics dict that will be reported (after it has been flattened) + and returns a modified dict. For example, this can be used to + average results across CV fold when using ``xgboost.cv``. + + Examples + -------- + + Reporting checkpoints and metrics to Ray Tune when running many + independent xgboost trials (without data parallelism within a trial). + + .. testcode:: + :skipif: True + + import xgboost + + from ray.tune import Tuner + from ray.train.xgboost import RayTrainReportCallback + + def train_fn(config): + # Report log loss to Ray Tune after each validation epoch. + bst = xgboost.train( + ..., + callbacks=[ + RayTrainReportCallback( + metrics={"loss": "eval-logloss"}, frequency=1 + ) + ], + ) + + tuner = Tuner(train_fn) + results = tuner.fit() + + Loading a model from a checkpoint reported by this callback. + + .. testcode:: + :skipif: True + + from ray.train.xgboost import RayTrainReportCallback + + # Get a `Checkpoint` object that is saved by the callback during training. + result = trainer.fit() + booster = RayTrainReportCallback.get_model(result.checkpoint) + + """ + + def __init__( + self, + metrics: Optional[Union[str, List[str], Dict[str, str]]] = None, + filename: str = RayReportCallback.CHECKPOINT_NAME, + frequency: int = 0, + checkpoint_at_end: bool = True, + results_postprocessing_fn: Optional[ + Callable[[Dict[str, Union[float, List[float]]]], Dict[str, float]] + ] = None, + ): + super().__init__( + metrics=metrics, + filename=filename, + frequency=frequency, + checkpoint_at_end=checkpoint_at_end, + results_postprocessing_fn=results_postprocessing_fn, + ) + + @contextmanager + def _get_checkpoint(self, model: Booster) -> Optional[Checkpoint]: + # NOTE: The world rank returns None for Tune usage without Train. + if ray.train.get_context().get_world_rank() in (0, None): + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + model.save_model(Path(temp_checkpoint_dir, self._filename).as_posix()) + yield Checkpoint(temp_checkpoint_dir) + else: + yield None + + def _save_and_report_checkpoint(self, report_dict: Dict, model: Booster): with self._get_checkpoint(model=model) as checkpoint: ray.train.report(report_dict, checkpoint=checkpoint) - return model + def _report_metrics(self, report_dict: Dict): + ray.train.report(report_dict) diff --git a/python/ray/tune/integration/xgboost.py b/python/ray/tune/integration/xgboost.py index fadb64ec4be1..8508ea15e1ca 100644 --- a/python/ray/tune/integration/xgboost.py +++ b/python/ray/tune/integration/xgboost.py @@ -1,7 +1,95 @@ -from ray.train.xgboost import ( # noqa: F401 - RayTrainReportCallback as TuneReportCheckpointCallback, -) -from ray.util.annotations import Deprecated +import tempfile +from contextlib import contextmanager +from pathlib import Path +from typing import Callable, Dict, List, Optional, Union + +from xgboost.core import Booster + +import ray.tune +from ray.train.xgboost._xgboost_utils import RayReportCallback +from ray.tune import Checkpoint +from ray.util.annotations import Deprecated, PublicAPI + + +@PublicAPI(stability="beta") +class TuneReportCheckpointCallback(RayReportCallback): + """XGBoost callback to save checkpoints and report metrics for Ray Tune. + + Args: + metrics: Metrics to report. If this is a list, + each item describes the metric key reported to XGBoost, + and it will be reported under the same name. + This can also be a dict of {: }, + which can be used to rename xgboost default metrics. + filename: Customize the saved checkpoint file type by passing + a filename. Defaults to "model.ubj". + frequency: How often to save checkpoints, in terms of iterations. + Defaults to 0 (no checkpoints are saved during training). + checkpoint_at_end: Whether or not to save a checkpoint at the end of training. + results_postprocessing_fn: An optional Callable that takes in + the metrics dict that will be reported (after it has been flattened) + and returns a modified dict. For example, this can be used to + average results across CV fold when using ``xgboost.cv``. + + Examples + -------- + + Reporting checkpoints and metrics to Ray Tune when running many + independent xgboost trials (without data parallelism within a trial). + + .. testcode:: + :skipif: True + + import xgboost + + from ray.tune import Tuner + from ray.tune.integration.xgboost import TuneReportCheckpointCallback + + def train_fn(config): + # Report log loss to Ray Tune after each validation epoch. + bst = xgboost.train( + ..., + callbacks=[ + TuneReportCheckpointCallback( + metrics={"loss": "eval-logloss"}, frequency=1 + ) + ], + ) + + tuner = Tuner(train_fn) + results = tuner.fit() + """ + + def __init__( + self, + metrics: Optional[Union[str, List[str], Dict[str, str]]] = None, + filename: str = RayReportCallback.CHECKPOINT_NAME, + frequency: int = 0, + checkpoint_at_end: bool = True, + results_postprocessing_fn: Optional[ + Callable[[Dict[str, Union[float, List[float]]]], Dict[str, float]] + ] = None, + ): + super().__init__( + metrics=metrics, + filename=filename, + frequency=frequency, + checkpoint_at_end=checkpoint_at_end, + results_postprocessing_fn=results_postprocessing_fn, + ) + + @contextmanager + def _get_checkpoint(self, model: Booster) -> Optional[Checkpoint]: + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + model.save_model(Path(temp_checkpoint_dir, self._filename).as_posix()) + yield Checkpoint(temp_checkpoint_dir) + + def _save_and_report_checkpoint(self, report_dict: Dict, model: Booster): + with self._get_checkpoint(model=model) as checkpoint: + ray.tune.report(report_dict, checkpoint=checkpoint) + + def _report_metrics(self, report_dict: Dict): + ray.tune.report(report_dict) @Deprecated From 39df3ab1d4ecb616f6411ea825065fc4a66ef8af Mon Sep 17 00:00:00 2001 From: fscnick <6858627+fscnick@users.noreply.github.com> Date: Tue, 5 Aug 2025 01:49:01 +0900 Subject: [PATCH 0466/1566] [core] install smart_open[s3] in the image (#55049) To support s3-compatible storage on `working_dir`, this PR installs `smart_open[s3]` while building the base-deps image. Closes https://github.com/ray-project/ray/issues/54746 --------- Signed-off-by: fscnick Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 1 + 1 file changed, 1 insertion(+) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 04e68894729b..bddf8d36b053 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -92,6 +92,7 @@ PIP_PKGS=( cython numpy # Necessary for Dataset to work properly. psutil + smart_open[s3] ) if [[ "$AUTOSCALER" == "autoscaler" ]]; then PIP_PKGS+=( From 3ff51907309cb282be6ab5a21b56ab055bad7f4d Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 4 Aug 2025 10:51:12 -0700 Subject: [PATCH 0467/1566] [Data] Issue Detection Framework (#55155) ## Why are these changes needed? This is a framework that enables tracking issues such as hanging operators, high memory usage etc. and embedding them into the streaming executor. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 14 ++ .../_internal/execution/callbacks/__init__.py | 7 + .../callbacks/insert_issue_detectors.py | 19 ++ .../_internal/execution/execution_callback.py | 8 +- .../interfaces/op_runtime_metrics.py | 18 ++ .../_internal/issue_detection/__init__.py | 20 +++ .../issue_detection/detectors/__init__.py | 15 ++ .../detectors/hanging_detector.py | 163 ++++++++++++++++++ .../detectors/high_memory_detector.py | 101 +++++++++++ .../issue_detection/issue_detector.py | 36 ++++ .../issue_detector_configuration.py | 23 +++ .../issue_detection/issue_detector_manager.py | 69 ++++++++ python/ray/data/context.py | 16 ++ .../tests/test_issue_detection_manager.py | 58 +++++++ 14 files changed, 566 insertions(+), 1 deletion(-) create mode 100644 python/ray/data/_internal/execution/callbacks/__init__.py create mode 100644 python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py create mode 100644 python/ray/data/_internal/issue_detection/__init__.py create mode 100644 python/ray/data/_internal/issue_detection/detectors/__init__.py create mode 100644 python/ray/data/_internal/issue_detection/detectors/hanging_detector.py create mode 100644 python/ray/data/_internal/issue_detection/detectors/high_memory_detector.py create mode 100644 python/ray/data/_internal/issue_detection/issue_detector.py create mode 100644 python/ray/data/_internal/issue_detection/issue_detector_configuration.py create mode 100644 python/ray/data/_internal/issue_detection/issue_detector_manager.py create mode 100644 python/ray/data/tests/test_issue_detection_manager.py diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 0544349df98d..76b1ab0d0df9 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -83,6 +83,20 @@ py_test( ], ) +py_test( + name = "test_issue_detection_manager", + size = "small", + srcs = ["tests/test_issue_detection_manager.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_numpy_support", size = "small", diff --git a/python/ray/data/_internal/execution/callbacks/__init__.py b/python/ray/data/_internal/execution/callbacks/__init__.py new file mode 100644 index 000000000000..b4c04197e91c --- /dev/null +++ b/python/ray/data/_internal/execution/callbacks/__init__.py @@ -0,0 +1,7 @@ +from ray.data._internal.execution.callbacks.insert_issue_detectors import ( + IssueDetectionExecutionCallback, +) + +__all__ = [ + "IssueDetectionExecutionCallback", +] diff --git a/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py b/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py new file mode 100644 index 000000000000..0097e8e101e4 --- /dev/null +++ b/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py @@ -0,0 +1,19 @@ +from ray.data._internal.execution.execution_callback import ( + ExecutionCallback, +) +from ray.data._internal.execution.streaming_executor import StreamingExecutor +from ray.data._internal.issue_detection.issue_detector_manager import ( + IssueDetectorManager, +) + + +class IssueDetectionExecutionCallback(ExecutionCallback): + """ExecutionCallback that handles issue detection.""" + + def before_execution_starts(self, executor: StreamingExecutor): + # Initialize issue detector in StreamingExecutor + executor._issue_detector_manager = IssueDetectorManager(executor) + + def on_execution_step(self, executor: StreamingExecutor): + # Invoke all issue detectors + executor._issue_detector_manager.invoke_detectors() diff --git a/python/ray/data/_internal/execution/execution_callback.py b/python/ray/data/_internal/execution/execution_callback.py index 690511a05f9f..bc13746d004c 100644 --- a/python/ray/data/_internal/execution/execution_callback.py +++ b/python/ray/data/_internal/execution/execution_callback.py @@ -60,7 +60,13 @@ def get_execution_callbacks(context: DataContext) -> List[ExecutionCallback]: _initialize_env_callbacks(context) context.set_config(ENV_CALLBACKS_INITIALIZED_KEY, True) - return context.get_config(EXECUTION_CALLBACKS_CONFIG_KEY, []) + from ray.data._internal.execution.callbacks.insert_issue_detectors import ( + IssueDetectionExecutionCallback, + ) + + return context.get_config( + EXECUTION_CALLBACKS_CONFIG_KEY, [IssueDetectionExecutionCallback()] + ) def add_execution_callback(callback: ExecutionCallback, context: DataContext): diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index 90a7aaf1905d..48ddbdfb016a 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -468,6 +468,8 @@ def __init__(self, op: "PhysicalOperator"): self._per_node_metrics_enabled: bool = op.data_context.enable_per_node_metrics self._cum_max_uss_bytes: Optional[int] = None + self._issue_detector_hanging = 0 + self._issue_detector_high_memory = 0 @property def extra_metrics(self) -> Dict[str, Any]: @@ -635,6 +637,22 @@ def average_max_uss_per_task(self) -> Optional[float]: assert self.num_task_outputs_generated > 0, self.num_task_outputs_generated return self._cum_max_uss_bytes / self.num_task_outputs_generated + @metric_property( + description="Indicates if the operator is hanging.", + metrics_group=MetricsGroup.MISC, + internal_only=True, + ) + def issue_detector_hanging(self) -> int: + return self._issue_detector_hanging + + @metric_property( + description="Indicates if the operator is using high memory.", + metrics_group=MetricsGroup.MISC, + internal_only=True, + ) + def issue_detector_high_memory(self) -> int: + return self._issue_detector_high_memory + def on_input_received(self, input: RefBundle): """Callback when the operator receives a new input.""" self.num_inputs_received += 1 diff --git a/python/ray/data/_internal/issue_detection/__init__.py b/python/ray/data/_internal/issue_detection/__init__.py new file mode 100644 index 000000000000..0a246f9d191d --- /dev/null +++ b/python/ray/data/_internal/issue_detection/__init__.py @@ -0,0 +1,20 @@ +from ray.data._internal.issue_detection.detectors.hanging_detector import ( + HangingExecutionIssueDetector, + HangingExecutionIssueDetectorConfig, +) +from ray.data._internal.issue_detection.issue_detector import Issue, IssueDetector +from ray.data._internal.issue_detection.issue_detector_configuration import ( + IssueDetectorsConfiguration, +) +from ray.data._internal.issue_detection.issue_detector_manager import ( + IssueDetectorManager, +) + +__all__ = [ + "Issue", + "IssueDetector", + "IssueDetectorManager", + "IssueDetectorsConfiguration", + "HangingExecutionIssueDetector", + "HangingExecutionIssueDetectorConfig", +] diff --git a/python/ray/data/_internal/issue_detection/detectors/__init__.py b/python/ray/data/_internal/issue_detection/detectors/__init__.py new file mode 100644 index 000000000000..4663089c8487 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/detectors/__init__.py @@ -0,0 +1,15 @@ +from ray.data._internal.issue_detection.detectors.hanging_detector import ( + HangingExecutionIssueDetector, + HangingExecutionIssueDetectorConfig, +) +from ray.data._internal.issue_detection.detectors.high_memory_detector import ( + HighMemoryIssueDetector, + HighMemoryIssueDetectorConfig, +) + +__all__ = [ + "HangingExecutionIssueDetector", + "HangingExecutionIssueDetectorConfig", + "HighMemoryIssueDetector", + "HighMemoryIssueDetectorConfig", +] diff --git a/python/ray/data/_internal/issue_detection/detectors/hanging_detector.py b/python/ray/data/_internal/issue_detection/detectors/hanging_detector.py new file mode 100644 index 000000000000..381ba05f7bc1 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/detectors/hanging_detector.py @@ -0,0 +1,163 @@ +import time +from collections import defaultdict +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Dict, List, Set + +from ray.data._internal.issue_detection.issue_detector import ( + Issue, + IssueDetector, + IssueType, +) + +if TYPE_CHECKING: + from ray.data._internal.execution.interfaces.op_runtime_metrics import ( + TaskDurationStats, + ) + from ray.data._internal.execution.streaming_executor import StreamingExecutor + from ray.data.context import DataContext + +# Default minimum count of tasks before using adaptive thresholds +DEFAULT_OP_TASK_STATS_MIN_COUNT = 10 +# Default multiple of standard deviations to use as hanging threshold +DEFAULT_OP_TASK_STATS_STD_FACTOR = 10 +# Default detection time interval. +DEFAULT_DETECTION_TIME_INTERVAL_S = 30.0 + + +@dataclass +class HangingExecutionState: + operator_id: str + task_idx: int + bytes_output: int + start_time_hanging: float + + +@dataclass +class HangingExecutionIssueDetectorConfig: + op_task_stats_min_count: int = field(default=DEFAULT_OP_TASK_STATS_MIN_COUNT) + op_task_stats_std_factor: float = field(default=DEFAULT_OP_TASK_STATS_STD_FACTOR) + detection_time_interval_s: float = DEFAULT_DETECTION_TIME_INTERVAL_S + + +class HangingExecutionIssueDetector(IssueDetector): + def __init__(self, executor: "StreamingExecutor", ctx: "DataContext"): + super().__init__(executor, ctx) + self._detector_cfg: HangingExecutionIssueDetectorConfig = ( + ctx.issue_detectors_config.hanging_detector_config + ) + self._op_task_stats_min_count = self._detector_cfg.op_task_stats_min_count + self._op_task_stats_std_factor_threshold = ( + self._detector_cfg.op_task_stats_std_factor + ) + + # Map of operator id to dict of task_idx to hanging execution info (bytes read and + # start time for hanging time calculation) + self._state_map: Dict[str, Dict[int, HangingExecutionState]] = defaultdict(dict) + # Map of operator id to set of task_idx that are hanging + self._hanging_op_tasks: Dict[str, Set[int]] = defaultdict(set) + # Map of operator id to operator name + self._op_id_to_name: Dict[str, str] = {} + + def _create_issues( + self, + hanging_op_tasks: List[HangingExecutionState], + op_task_stats_map: Dict[str, "TaskDurationStats"], + ) -> List[Issue]: + issues = [] + for state in hanging_op_tasks: + if state.task_idx not in self._hanging_op_tasks[state.operator_id]: + op_name = self._op_id_to_name.get(state.operator_id, state.operator_id) + duration = time.perf_counter() - state.start_time_hanging + avg_duration = op_task_stats_map[state.operator_id].mean() + message = ( + f"A task of operator {op_name} with task index " + f"{state.task_idx} has been running for {duration:.2f}s, which is longer" + f" than the average task duration of this operator ({avg_duration:.2f}s)." + f" If this message persists, please check the stack trace of the " + "task for potential hanging issues." + ) + issues.append( + Issue( + dataset_name=self._executor._dataset_id, + operator_id=state.operator_id, + issue_type=IssueType.HANGING, + message=message, + ) + ) + self._hanging_op_tasks[state.operator_id].add(state.task_idx) + + return issues + + def detect(self) -> List[Issue]: + op_task_stats_map: Dict[str, "TaskDurationStats"] = {} + for operator, op_state in self._executor._topology.items(): + op_metrics = operator.metrics + op_task_stats_map[operator.id] = op_metrics._op_task_duration_stats + self._op_id_to_name[operator.id] = operator.name + if op_state._finished: + # Remove finished operators / tasks from the state map + if operator.id in self._state_map: + del self._state_map[operator.id] + if operator.id in self._hanging_op_tasks: + del self._hanging_op_tasks[operator.id] + else: + active_tasks_idx = set() + for task in operator.get_active_tasks(): + task_info = op_metrics._running_tasks.get(task.task_index(), None) + if task_info is None: + # if the task is not in the running tasks map, it has finished + # remove it from the state map and hanging op tasks, if present + self._state_map[operator.id].pop(task.task_index(), None) + self._hanging_op_tasks[operator.id].discard(task.task_index()) + continue + + active_tasks_idx.add(task.task_index()) + bytes_output = task_info.bytes_outputs + + prev_state_value = self._state_map[operator.id].get( + task.task_index(), None + ) + + if ( + prev_state_value is None + or bytes_output != prev_state_value.bytes_output + ): + self._state_map[operator.id][ + task.task_index() + ] = HangingExecutionState( + operator_id=operator.id, + task_idx=task.task_index(), + bytes_output=bytes_output, + start_time_hanging=time.perf_counter(), + ) + + # Remove any tasks that are no longer active + task_idxs_to_remove = ( + set(self._state_map[operator.id].keys()) - active_tasks_idx + ) + for task_idx in task_idxs_to_remove: + del self._state_map[operator.id][task_idx] + + hanging_op_tasks = [] + for op_id, op_state_values in self._state_map.items(): + op_task_stats = op_task_stats_map[op_id] + for task_idx, state_value in op_state_values.items(): + curr_time = time.perf_counter() - state_value.start_time_hanging + if op_task_stats.count() > self._op_task_stats_min_count: + mean = op_task_stats.mean() + stddev = op_task_stats.stddev() + threshold = mean + self._op_task_stats_std_factor_threshold * stddev + + if curr_time > threshold: + hanging_op_tasks.append(state_value) + + # create issues for newly detected hanging tasks, then update the hanging task set + issues = self._create_issues( + hanging_op_tasks=hanging_op_tasks, + op_task_stats_map=op_task_stats_map, + ) + + return issues + + def detection_time_interval_s(self) -> float: + return self._detector_cfg.detection_time_interval_s diff --git a/python/ray/data/_internal/issue_detection/detectors/high_memory_detector.py b/python/ray/data/_internal/issue_detection/detectors/high_memory_detector.py new file mode 100644 index 000000000000..1dbc3e20fd59 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/detectors/high_memory_detector.py @@ -0,0 +1,101 @@ +import textwrap +from dataclasses import dataclass +from typing import TYPE_CHECKING, Dict, List + +from ray.data._internal.execution.operators.map_operator import MapOperator +from ray.data._internal.execution.util import memory_string +from ray.data._internal.issue_detection.issue_detector import ( + Issue, + IssueDetector, + IssueType, +) + +if TYPE_CHECKING: + from ray.data._internal.execution.streaming_executor import StreamingExecutor + from ray.data.context import DataContext + +HIGH_MEMORY_PERIODIC_WARNING = """ +Operator '{op_name}' uses {memory_per_task} of memory per task on average, but Ray +only requests {initial_memory_request} per task at the start of the pipeline. + +To avoid out-of-memory errors, consider setting `memory={memory_per_task}` in the +appropriate function or method call. (This might be unnecessary if the number of +concurrent tasks is low.) + +To change the frequency of this warning, set +`DataContext.get_current().issue_detectors_config.high_memory_detector_config.detection_time_interval_s`, +or disable the warning by setting value to -1. (current value: +{detection_time_interval_s}) +""" # noqa: E501 + + +@dataclass +class HighMemoryIssueDetectorConfig: + detection_time_interval_s: float = 30 + + +class HighMemoryIssueDetector(IssueDetector): + + # Many nodes have a 4 GiB : 1 core ratio, but this isn't always the case (e.g., for + # high memory nodes). + _MEMORY_PER_CORE_ESTIMATE = 4 * 1024**3 + + def __init__(self, executor: "StreamingExecutor", ctx: "DataContext"): + super().__init__(executor, ctx) + self._detector_cfg = ctx.issue_detectors_config.high_memory_detector_config + + self._initial_memory_requests: Dict[MapOperator, int] = {} + for op in self._executor._topology.keys(): + if isinstance(op, MapOperator): + self._initial_memory_requests[op] = ( + op._get_runtime_ray_remote_args().get("memory") or 0 + ) + + def detect(self) -> List[Issue]: + issues = [] + for op in self._executor._topology.keys(): + if not isinstance(op, MapOperator): + continue + + if op.metrics.average_max_uss_per_task is None: + continue + + remote_args = op._get_runtime_ray_remote_args() + num_cpus_per_task = remote_args.get("num_cpus", 1) + max_memory_per_task = self._MEMORY_PER_CORE_ESTIMATE * num_cpus_per_task + + if ( + op.metrics.average_max_uss_per_task > self._initial_memory_requests[op] + and op.metrics.average_max_uss_per_task >= max_memory_per_task + ): + message = HIGH_MEMORY_PERIODIC_WARNING.format( + op_name=op.name, + memory_per_task=memory_string(op.metrics.average_max_uss_per_task), + initial_memory_request=memory_string( + self._initial_memory_requests[op] + ), + detection_time_interval_s=self.detection_time_interval_s(), + ) + issues.append( + Issue( + dataset_name=self._executor._dataset_id, + operator_id=op.id, + issue_type=IssueType.HIGH_MEMORY, + message=_format_message(message), + ) + ) + + return issues + + def detection_time_interval_s(self) -> float: + return self._detector_cfg.detection_time_interval_s + + +def _format_message(message: str) -> str: + # Apply some formatting to make the message look nicer when printed. + formatted_paragraphs = [] + for paragraph in message.split("\n\n"): + formatted_paragraph = textwrap.fill(paragraph, break_long_words=False).strip() + formatted_paragraphs.append(formatted_paragraph) + formatted_message = "\n\n".join(formatted_paragraphs) + return "\n\n" + formatted_message + "\n" diff --git a/python/ray/data/_internal/issue_detection/issue_detector.py b/python/ray/data/_internal/issue_detection/issue_detector.py new file mode 100644 index 000000000000..dbfab89f01c9 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/issue_detector.py @@ -0,0 +1,36 @@ +from abc import ABC, abstractmethod +from dataclasses import dataclass +from enum import Enum +from typing import TYPE_CHECKING, List + +if TYPE_CHECKING: + from ray.data._internal.execution.streaming_executor import StreamingExecutor + from ray.data.context import DataContext + + +class IssueType(str, Enum): + HANGING = "hanging" + HIGH_MEMORY = "high memory" + + +@dataclass +class Issue: + dataset_name: str + operator_id: str + message: str + issue_type: IssueType + + +class IssueDetector(ABC): + def __init__(self, executor: "StreamingExecutor", ctx: "DataContext"): + self._executor = executor + self._ctx = ctx + + @abstractmethod + def detect(self) -> List[Issue]: + pass + + @abstractmethod + def detection_time_interval_s(self) -> float: + """Time interval between detections, or -1 if not enabled.""" + pass diff --git a/python/ray/data/_internal/issue_detection/issue_detector_configuration.py b/python/ray/data/_internal/issue_detection/issue_detector_configuration.py new file mode 100644 index 000000000000..53aea74dbd63 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/issue_detector_configuration.py @@ -0,0 +1,23 @@ +from dataclasses import dataclass, field +from typing import List, Type + +from ray.data._internal.issue_detection.detectors import ( + HangingExecutionIssueDetector, + HangingExecutionIssueDetectorConfig, + HighMemoryIssueDetector, + HighMemoryIssueDetectorConfig, +) +from ray.data._internal.issue_detection.issue_detector import IssueDetector + + +@dataclass +class IssueDetectorsConfiguration: + hanging_detector_config: HangingExecutionIssueDetectorConfig = field( + default=HangingExecutionIssueDetectorConfig + ) + high_memory_detector_config: HighMemoryIssueDetectorConfig = field( + default=HighMemoryIssueDetectorConfig + ) + detectors: List[Type[IssueDetector]] = field( + default_factory=lambda: [HangingExecutionIssueDetector, HighMemoryIssueDetector] + ) diff --git a/python/ray/data/_internal/issue_detection/issue_detector_manager.py b/python/ray/data/_internal/issue_detection/issue_detector_manager.py new file mode 100644 index 000000000000..91569e16deac --- /dev/null +++ b/python/ray/data/_internal/issue_detection/issue_detector_manager.py @@ -0,0 +1,69 @@ +import logging +import time +from typing import TYPE_CHECKING, Dict, List + +from ray.data._internal.issue_detection.issue_detector import ( + Issue, + IssueDetector, + IssueType, +) + +if TYPE_CHECKING: + from ray.data._internal.execution.interfaces.physical_operator import ( + PhysicalOperator, + ) + from ray.data._internal.execution.streaming_executor import StreamingExecutor + +logger = logging.getLogger(__name__) + + +class IssueDetectorManager: + def __init__(self, executor: "StreamingExecutor"): + ctx = executor._data_context + self._issue_detectors: List[IssueDetector] = [ + cls(executor, ctx) for cls in ctx.issue_detectors_config.detectors + ] + self._last_detection_times: Dict[IssueDetector, float] = { + detector: time.perf_counter() for detector in self._issue_detectors + } + self.executor = executor + + def invoke_detectors(self) -> None: + curr_time = time.perf_counter() + issues = [] + for detector in self._issue_detectors: + if detector.detection_time_interval_s() == -1: + continue + + if ( + curr_time - self._last_detection_times[detector] + > detector.detection_time_interval_s() + ): + issues.extend(detector.detect()) + + self._last_detection_times[detector] = time.perf_counter() + + self._report_issues(issues) + + def _report_issues(self, issues: List[Issue]) -> None: + operators: Dict[str, "PhysicalOperator"] = {} + for operator in self.executor._topology.keys(): + operators[operator.id] = operator + # Reset issue detector metrics for each operator so that previous issues + # don't affect the current ones. + operator.metrics._issue_detector_hanging = 0 + operator.metrics._issue_detector_high_memory = 0 + + for issue in issues: + logger.warning(issue.message) + operator = operators.get(issue.operator_id) + if not operator: + continue + if issue.issue_type == IssueType.HANGING: + operator.metrics._issue_detector_hanging += 1 + if issue.issue_type == IssueType.HIGH_MEMORY: + operator.metrics._issue_detector_high_memory += 1 + if len(issues) > 0: + logger.warning( + "To disable issue detection, run DataContext.get_current().issue_detectors_config.detectors = []." + ) diff --git a/python/ray/data/context.py b/python/ray/data/context.py index f7721f39eaa4..6cb84cace43d 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -17,6 +17,9 @@ if TYPE_CHECKING: from ray.data._internal.execution.interfaces import ExecutionOptions + from ray.data._internal.issue_detection.issue_detector_configuration import ( + IssueDetectorsConfiguration, + ) logger = logging.getLogger(__name__) @@ -280,6 +283,15 @@ def _deduce_default_shuffle_algorithm() -> ShuffleStrategy: return DEFAULT_SHUFFLE_STRATEGY +def _issue_detectors_config_factory() -> "IssueDetectorsConfiguration": + # Lazily import to avoid circular dependencies. + from ray.data._internal.issue_detection.issue_detector_configuration import ( + IssueDetectorsConfiguration, + ) + + return IssueDetectorsConfiguration() + + @DeveloperAPI @dataclass class DataContext: @@ -520,6 +532,10 @@ class DataContext: # retry task may still be scheduled to this actor and it will fail. _enable_actor_pool_on_exit_hook: bool = False + issue_detectors_config: "IssueDetectorsConfiguration" = field( + default_factory=_issue_detectors_config_factory + ) + def __post_init__(self): # The additonal ray remote args that should be added to # the task-pool-based data tasks. diff --git a/python/ray/data/tests/test_issue_detection_manager.py b/python/ray/data/tests/test_issue_detection_manager.py new file mode 100644 index 000000000000..3dc1712aaeff --- /dev/null +++ b/python/ray/data/tests/test_issue_detection_manager.py @@ -0,0 +1,58 @@ +import sys +from unittest.mock import MagicMock + +import pytest + +from ray.data._internal.execution.operators.input_data_buffer import ( + InputDataBuffer, +) +from ray.data._internal.execution.operators.task_pool_map_operator import ( + MapOperator, +) +from ray.data._internal.issue_detection.issue_detector import ( + Issue, + IssueType, +) +from ray.data._internal.issue_detection.issue_detector_manager import ( + IssueDetectorManager, +) +from ray.data.context import DataContext + + +def test_report_issues(): + ctx = DataContext.get_current() + input_operator = InputDataBuffer(ctx, input_data=[]) + map_operator = MapOperator.create( + map_transformer=MagicMock(), + input_op=input_operator, + data_context=ctx, + ray_remote_args={}, + ) + topology = {input_operator: MagicMock(), map_operator: MagicMock()} + executor = MagicMock(_topology=topology) + detector = IssueDetectorManager(executor) + + detector._report_issues( + [ + Issue( + dataset_name="dataset", + operator_id=input_operator.id, + issue_type=IssueType.HANGING, + message="Hanging detected", + ), + Issue( + dataset_name="dataset", + operator_id=map_operator.id, + issue_type=IssueType.HIGH_MEMORY, + message="High memory usage detected", + ), + ] + ) + assert input_operator.metrics.issue_detector_hanging == 1 + assert input_operator.metrics.issue_detector_high_memory == 0 + assert map_operator.metrics.issue_detector_hanging == 0 + assert map_operator.metrics.issue_detector_high_memory == 1 + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From f5208129b9675d4698c00c6030703ad223703447 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Mon, 4 Aug 2025 14:42:18 -0400 Subject: [PATCH 0468/1566] [Data] Cleaning up `ExecutionResources` (#54694) ## Why are these changes needed? Cleaning up `ExecutionResources`: 1. To make them immutable 2. Fix 0s/nulls handling 3. Properly round them to 1e-5 (max resource quantization in Ray) ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../train/doc_code/data_ingest_torch_new.py | 2 +- .../ray/air/tests/test_new_dataset_config.py | 12 ++- .../execution/interfaces/execution_options.py | 101 ++++++++---------- .../_internal/execution/resource_manager.py | 33 ++++-- .../ray/data/tests/test_backpressure_e2e.py | 14 ++- .../test_executor_resource_management.py | 8 +- .../ray/data/tests/test_resource_manager.py | 16 ++- .../data/tests/test_streaming_integration.py | 16 ++- rllib/offline/offline_env_runner.py | 6 +- 9 files changed, 116 insertions(+), 92 deletions(-) diff --git a/doc/source/train/doc_code/data_ingest_torch_new.py b/doc/source/train/doc_code/data_ingest_torch_new.py index c6f945fba95d..fe3b965ef7a2 100644 --- a/doc/source/train/doc_code/data_ingest_torch_new.py +++ b/doc/source/train/doc_code/data_ingest_torch_new.py @@ -92,7 +92,7 @@ def augment_data(batch): from ray.train import DataConfig options = DataConfig.default_ingest_options() -options.resource_limits.object_store_memory = 10e9 +options.resource_limits = options.resource_limits.copy(object_store_memory=10e9) my_trainer = TorchTrainer( diff --git a/python/ray/air/tests/test_new_dataset_config.py b/python/ray/air/tests/test_new_dataset_config.py index 6490f700a94c..1fb6f1543595 100644 --- a/python/ray/air/tests/test_new_dataset_config.py +++ b/python/ray/air/tests/test_new_dataset_config.py @@ -145,7 +145,7 @@ def test_configure_execution_options(ray_start_4_cpus): ds = ray.data.range(10) # Resource limit is too low and will trigger an error. options = DataConfig.default_ingest_options() - options.resource_limits.cpu = 0 + options.resource_limits = options.resource_limits.copy(cpu=0) test = TestBasic( 1, True, @@ -364,8 +364,9 @@ def train_loop_fn(): def test_data_config_default_resource_limits(shutdown_only): """Test that DataConfig should exclude training resources from Data.""" execution_options = ExecutionOptions() - execution_options.exclude_resources.cpu = 2 - execution_options.exclude_resources.gpu = 1 + execution_options.exclude_resources = execution_options.exclude_resources.copy( + cpu=2, gpu=1 + ) data_config = DataConfig(execution_options=execution_options) _run_data_config_resource_test(data_config) @@ -374,8 +375,9 @@ def test_data_config_default_resource_limits(shutdown_only): def test_data_config_manual_resource_limits(shutdown_only): """Test manually setting resource limits in DataConfig.""" execution_options = ExecutionOptions() - execution_options.resource_limits.cpu = 10 - execution_options.resource_limits.gpu = 5 + execution_options.resource_limits = execution_options.resource_limits.copy( + cpu=10, gpu=5 + ) data_config = DataConfig(execution_options=execution_options) _run_data_config_resource_test(data_config) diff --git a/python/ray/data/_internal/execution/interfaces/execution_options.py b/python/ray/data/_internal/execution/interfaces/execution_options.py index 35f3aa8ba654..0485a12ec68c 100644 --- a/python/ray/data/_internal/execution/interfaces/execution_options.py +++ b/python/ray/data/_internal/execution/interfaces/execution_options.py @@ -1,5 +1,6 @@ +import math import os -from typing import Dict, List, Optional, Union +from typing import Any, Dict, List, Optional, Union from .common import NodeIdStr from ray.data._internal.execution.util import memory_string @@ -19,7 +20,6 @@ def __init__( gpu: Optional[float] = None, object_store_memory: Optional[float] = None, memory: Optional[float] = None, - default_to_inf: bool = False, ): """Initializes ExecutionResources. Args: @@ -27,22 +27,19 @@ def __init__( gpu: Amount of logical GPU slots. object_store_memory: Amount of object store memory. memory: Amount of logical memory in bytes. - default_to_inf: When the object represents resource usage, this flag - should be set to False. And missing values will default to 0. - When the object represents resource limits, this flag should be - set to True. And missing values will default to infinity. """ - self._cpu = cpu - self._gpu = gpu - self._object_store_memory = object_store_memory - self._memory = memory - self._default_to_inf = default_to_inf + + # NOTE: Ray Core allocates fractional resources in up to 5th decimal + # digit, hence we round the values here up to it + self._cpu: Optional[float] = safe_round(cpu, 5) + self._gpu: Optional[float] = safe_round(gpu, 5) + self._object_store_memory: Optional[float] = safe_round(object_store_memory) + self._memory: Optional[float] = safe_round(memory) @classmethod def from_resource_dict( cls, resource_dict: Dict[str, float], - default_to_inf: bool = False, ): """Create an ExecutionResources object from a resource dict.""" return ExecutionResources( @@ -50,7 +47,6 @@ def from_resource_dict( gpu=resource_dict.get("GPU", None) or resource_dict.get("num_gpus", None), object_store_memory=resource_dict.get("object_store_memory", None), memory=resource_dict.get("memory", None), - default_to_inf=default_to_inf, ) @classmethod @@ -69,56 +65,31 @@ def for_limits( memory: Amount of logical memory in bytes. """ return ExecutionResources( - cpu=cpu, - gpu=gpu, - object_store_memory=object_store_memory, - memory=memory, - default_to_inf=True, + cpu=safe_or(cpu, float("inf")), + gpu=safe_or(gpu, float("inf")), + object_store_memory=safe_or(object_store_memory, float("inf")), + memory=safe_or(memory, float("inf")), ) @property def cpu(self) -> float: - if self._cpu is not None: - return self._cpu - return 0.0 if not self._default_to_inf else float("inf") - - @cpu.setter - def cpu(self, value: float): - self._cpu = value + return self._cpu or 0.0 @property def gpu(self) -> float: - if self._gpu is not None: - return self._gpu - return 0.0 if not self._default_to_inf else float("inf") - - @gpu.setter - def gpu(self, value: float): - self._gpu = value + return self._gpu or 0.0 @property def object_store_memory(self) -> float: - if self._object_store_memory is not None: - return self._object_store_memory - return 0.0 if not self._default_to_inf else float("inf") - - @object_store_memory.setter - def object_store_memory(self, value: float): - self._object_store_memory = value + return self._object_store_memory or 0 @property def memory(self) -> float: - if self._memory is not None: - return self._memory - return 0.0 if not self._default_to_inf else float("inf") - - @memory.setter - def memory(self, value: float): - self._memory = value + return self._memory or 0 def __repr__(self): return ( - f"ExecutionResources(cpu={self.cpu:.1f}, gpu={self.gpu:.1f}, " + f"ExecutionResources(cpu={self.cpu}, gpu={self.gpu}, " f"object_store_memory={self.object_store_memory_str()}, " f"memory={self.memory_str()})" ) @@ -171,14 +142,20 @@ def memory_str(self) -> str: return "inf" return memory_string(self.memory) - def copy(self) -> "ExecutionResources": - """Returns a copy of this ExecutionResources object.""" + def copy( + self, + cpu: Optional[float] = None, + gpu: Optional[float] = None, + memory: Optional[float] = None, + object_store_memory: Optional[float] = None, + ) -> "ExecutionResources": + """Returns a copy of this ExecutionResources object allowing to override + specific resources as necessary""" return ExecutionResources( - cpu=self._cpu, - gpu=self._gpu, - object_store_memory=self._object_store_memory, - memory=self._memory, - default_to_inf=self._default_to_inf, + cpu=safe_or(cpu, self.cpu), + gpu=safe_or(gpu, self.gpu), + object_store_memory=safe_or(object_store_memory, self.object_store_memory), + memory=safe_or(memory, self.memory), ) def add(self, other: "ExecutionResources") -> "ExecutionResources": @@ -261,6 +238,7 @@ def scale(self, f: float) -> "ExecutionResources": if f == 0: # Explicitly handle the zero case, because `0 * inf` is undefined. return ExecutionResources.zero() + return ExecutionResources( cpu=self.cpu * f, gpu=self.gpu * f, @@ -360,3 +338,18 @@ def validate(self) -> None: "resource_limits and exclude_resources cannot " f" both be set for {attr} resource." ) + + +def safe_or(value: Optional[Any], alt: Any) -> Any: + return value if value is not None else alt + + +def safe_round( + value: Optional[float], ndigits: Optional[int] = None +) -> Optional[float]: + if value is None: + return None + elif math.isinf(value): + return value + else: + return round(value, ndigits) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index 517fc8a8671c..f18e3a3f9771 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -195,9 +195,12 @@ def update_usages(self): assert not op_usage.object_store_memory assert not op_running_usage.object_store_memory assert not op_pending_usage.object_store_memory - op_usage.object_store_memory = self._estimate_object_store_memory(op, state) - op_running_usage.object_store_memory = self._estimate_object_store_memory( - op, state + + used_object_store = self._estimate_object_store_memory(op, state) + + op_usage = op_usage.copy(object_store_memory=used_object_store) + op_running_usage = op_running_usage.copy( + object_store_memory=used_object_store ) if isinstance(op, ReportsExtraResourceUsage): @@ -263,7 +266,10 @@ def get_global_limits(self) -> ExecutionResources: exclude = self._options.exclude_resources total_resources = self._get_total_resources() default_mem_fraction = self._object_store_memory_limit_fraction - total_resources.object_store_memory *= default_mem_fraction + total_resources = total_resources.copy( + object_store_memory=total_resources.object_store_memory + * default_mem_fraction + ) self._global_limits = default_limits.min(total_resources).subtract(exclude) return self._global_limits @@ -660,8 +666,9 @@ def update_usages(self): # exceeded `_reserved_for_op_outputs`. op_outputs_usage = self._get_op_outputs_usage_with_downstream(op) op_mem_usage += max(op_outputs_usage - self._reserved_for_op_outputs[op], 0) - op_usage = self._resource_manager.get_op_usage(op).copy() - op_usage.object_store_memory = op_mem_usage + op_usage = self._resource_manager.get_op_usage(op).copy( + object_store_memory=op_mem_usage + ) op_reserved = self._op_reserved[op] # How much of the reserved resources are remaining. op_reserved_remaining = op_reserved.subtract(op_usage).max( @@ -701,7 +708,7 @@ def update_usages(self): op_shared, to_borrow, ) - self._op_budgets[op] = self._op_budgets[op].add(op_shared) + if op.min_max_resource_requirements()[1].gpu > 0: # If an operator needs GPU, we just allocate all GPUs to it. # TODO(hchen): allocate resources across multiple GPU operators. @@ -710,13 +717,17 @@ def update_usages(self): # 1. The op is setting a minimum concurrency that is larger than # available num of GPUs. # 2. The cluster scales down, and the global limit decreases. - self._op_budgets[op].gpu = max( + target_num_gpu = max( self._resource_manager.get_global_limits().gpu - self._resource_manager.get_op_usage(op).gpu, 0, ) else: - self._op_budgets[op].gpu = 0 + target_num_gpu = 0 + + self._op_budgets[op] = ( + self._op_budgets[op].add(op_shared).copy(gpu=target_num_gpu) + ) # A materializing operator like `AllToAllOperator` waits for all its input # operator's outputs before processing data. This often forces the input @@ -727,4 +738,6 @@ def update_usages(self): isinstance(next_op, MATERIALIZING_OPERATORS) for next_op in op.output_dependencies ): - self._op_budgets[op].object_store_memory = float("inf") + self._op_budgets[op] = self._op_budgets[op].copy( + object_store_memory=float("inf") + ) diff --git a/python/ray/data/tests/test_backpressure_e2e.py b/python/ray/data/tests/test_backpressure_e2e.py index 7290489dff40..64ccb8f2fffa 100644 --- a/python/ray/data/tests/test_backpressure_e2e.py +++ b/python/ray/data/tests/test_backpressure_e2e.py @@ -90,7 +90,9 @@ def _build_dataset( # - The consumer op has `num_blocks` tasks, each of which consumes 1 block. ctx = ray.data.DataContext.get_current() ctx.target_max_block_size = block_size - ctx.execution_options.resource_limits.object_store_memory = obj_store_limit + ctx.execution_options.resource_limits = ctx.execution_options.resource_limits.copy( + object_store_memory=obj_store_limit + ) def producer(batch): for i in range(num_blocks): @@ -208,7 +210,11 @@ def test_no_deadlock_with_preserve_order( data_context.target_max_block_size = block_size data_context._max_num_blocks_in_streaming_gen_buffer = 1 data_context.execution_options.preserve_order = True - data_context.execution_options.resource_limits.object_store_memory = 5 * block_size + data_context.execution_options.resource_limits = ( + data_context.execution_options.resource_limits.copy( + object_store_memory=5 * block_size + ) + ) # Some tasks are slower than others. # The faster tasks will finish first and occupy Map op's internal output buffer. @@ -272,7 +278,9 @@ def range_(i): source = CountingRangeDatasource() ctx = ray.data.DataContext.get_current() - ctx.execution_options.resource_limits.object_store_memory = 10e6 + ctx.execution_options.resource_limits = ctx.execution_options.resource_limits.copy( + object_store_memory=10e6 + ) # 10GiB dataset. ds = ray.data.read_datasource(source, n=10000, override_num_blocks=1000) diff --git a/python/ray/data/tests/test_executor_resource_management.py b/python/ray/data/tests/test_executor_resource_management.py index fee66e032339..d863842ec412 100644 --- a/python/ray/data/tests/test_executor_resource_management.py +++ b/python/ray/data/tests/test_executor_resource_management.py @@ -47,19 +47,19 @@ def test_execution_resources(ray_start_10_cpus_shared): ) assert ( repr(r2) - == "ExecutionResources(cpu=1.0, gpu=0.0, object_store_memory=0.0B, memory=0.0B)" + == "ExecutionResources(cpu=1, gpu=0.0, object_store_memory=0.0B, memory=0.0B)" ) assert ( repr(r3) - == "ExecutionResources(cpu=0.0, gpu=1.0, object_store_memory=0.0B, memory=0.0B)" + == "ExecutionResources(cpu=0.0, gpu=1, object_store_memory=0.0B, memory=0.0B)" ) assert ( repr(r4) - == "ExecutionResources(cpu=1.0, gpu=1.0, object_store_memory=100.0MB, memory=0.0B)" + == "ExecutionResources(cpu=1, gpu=1, object_store_memory=100.0MB, memory=0.0B)" ) assert ( repr(r5) - == "ExecutionResources(cpu=1.0, gpu=1.0, object_store_memory=1.0GB, memory=64.0MB)" + == "ExecutionResources(cpu=1, gpu=1, object_store_memory=1.0GB, memory=64.0MB)" ) assert ( repr(unlimited) diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index 9be299190883..90b69361e51b 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -424,18 +424,16 @@ def can_submit_new_task(allocator, op): # +-----+------------------+------------------+--------------+ # remaining shared = 1000/2 - 275 = 225 # Test budgets. - # memory_budget[o2] = 0 + 225/2 = 112.5 - assert allocator._op_budgets[o2] == ExecutionResources(3, 0, 112.5) - # memory_budget[o3] = 95 + 225/2 = 207.5 - assert allocator._op_budgets[o3] == ExecutionResources(5, 0, 207.5) + # memory_budget[o2] = 0 + 225/2 = 113 (rounded up) + assert allocator._op_budgets[o2] == ExecutionResources(3, 0, 113) + # memory_budget[o3] = 95 + 225/2 = 207 (rounded down) + assert allocator._op_budgets[o3] == ExecutionResources(5, 0, 207) # Test can_submit_new_task and max_task_output_bytes_to_read. assert can_submit_new_task(allocator, o2) assert can_submit_new_task(allocator, o3) - # max_task_output_bytes_to_read(o2) = 112.5 + 25 = 137.5 - # (will be rounded down). - assert allocator.max_task_output_bytes_to_read(o2) == 137 - # max_task_output_bytes_to_read(o3) = 207.5 + 50 = 257.5 - # (will be rounded down). + # max_task_output_bytes_to_read(o2) = 112.5 + 25 = 138 (rounded up) + assert allocator.max_task_output_bytes_to_read(o2) == 138 + # max_task_output_bytes_to_read(o3) = 207.5 + 50 = 257 (rounded down) assert allocator.max_task_output_bytes_to_read(o3) == 257 # Test global_limits updated. diff --git a/python/ray/data/tests/test_streaming_integration.py b/python/ray/data/tests/test_streaming_integration.py index 06b694c11bc5..4b9a120643d0 100644 --- a/python/ray/data/tests/test_streaming_integration.py +++ b/python/ray/data/tests/test_streaming_integration.py @@ -399,7 +399,9 @@ def run(): DataContext.get_current().execution_options.resource_limits = ExecutionResources() run() - DataContext.get_current().execution_options.resource_limits.cpu = 1 + DataContext.get_current().execution_options.resource_limits = ( + DataContext.get_current().execution_options.resource_limits.copy(cpu=1) + ) with pytest.raises(ValueError): run() @@ -488,7 +490,9 @@ def func(x): ctx = DataContext.get_current() ctx.target_max_block_size = block_size - ctx.execution_options.resource_limits.object_store_memory = block_size + ctx.execution_options.resource_limits = ctx.execution_options.resource_limits.copy( + object_store_memory=block_size + ) # Only take the first item from the iterator. ds = ray.data.range(100, override_num_blocks=100).map_batches(func, batch_size=None) @@ -518,7 +522,9 @@ def __call__(self, x): # Tests that autoscaling works even when resource constrained via actor killing. # To pass this, we need to autoscale down to free up slots for task execution. - DataContext.get_current().execution_options.resource_limits.cpu = 2 + DataContext.get_current().execution_options.resource_limits = ( + DataContext.get_current().execution_options.resource_limits.copy(cpu=2) + ) ray.data.range(5, override_num_blocks=5).map_batches( UDFClass, compute=ray.data.ActorPoolStrategy(min_size=1, max_size=2), @@ -567,7 +573,9 @@ def test_e2e_liveness_with_output_backpressure_edge_case( # At least one operator is ensured to be running, if the output becomes idle. ctx = DataContext.get_current() ctx.execution_options.preserve_order = True - ctx.execution_options.resource_limits.object_store_memory = 1 + ctx.execution_options.resource_limits = ctx.execution_options.resource_limits.copy( + object_store_memory=1 + ) ds = ray.data.range(10000, override_num_blocks=100).map(lambda x: x, num_cpus=2) # This will hang forever if the liveness logic is wrong, since the output # backpressure will prevent any operators from running at all. diff --git a/rllib/offline/offline_env_runner.py b/rllib/offline/offline_env_runner.py index 5b7a8dce1d29..704ed175be53 100644 --- a/rllib/offline/offline_env_runner.py +++ b/rllib/offline/offline_env_runner.py @@ -39,8 +39,10 @@ def __init__(self, *, config: AlgorithmConfig, **kwargs): # Get the data context for this `EnvRunner`. data_context = ray.data.DataContext.get_current() # Limit the resources for Ray Data to the CPUs given to this `EnvRunner`. - data_context.execution_options.resource_limits.cpu = ( - config.num_cpus_per_env_runner + data_context.execution_options.resource_limits = ( + data_context.execution_options.resource_limits.copy( + cpu=config.num_cpus_per_env_runner + ) ) # Set the output write method. From 1b6cf03551a5d99816c4ac12ba66c8d2f706f3a4 Mon Sep 17 00:00:00 2001 From: Ricardo Decal Date: Mon, 4 Aug 2025 11:52:57 -0700 Subject: [PATCH 0469/1566] [Docs][minor] Delete unused numpy import on Ray Data vLLM frontpage (#54683) ## Why are these changes needed? Deletes unnecessary line from ray data llm example. Signed-off-by: Ricardo Decal Signed-off-by: Douglas Strodtman --- doc/source/data/working-with-llms.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/doc/source/data/working-with-llms.rst b/doc/source/data/working-with-llms.rst index 4f5e7f6ade21..8b12c4add575 100644 --- a/doc/source/data/working-with-llms.rst +++ b/doc/source/data/working-with-llms.rst @@ -37,8 +37,7 @@ Upon execution, the Processor object instantiates replicas of the vLLM engine (u import ray from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor - import numpy as np - + config = vLLMEngineProcessorConfig( model_source="unsloth/Llama-3.1-8B-Instruct", engine_kwargs={ From c90c1c93edc5b37677d39b01042961fe4a15356d Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 4 Aug 2025 12:07:56 -0700 Subject: [PATCH 0470/1566] [ci] raydepsets: renaming config yamls (#55198) Renaming config yamls Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 2 +- ci/raydepsets/cli.py | 4 +-- .../{depset.config.yaml => ray.depsets.yaml} | 0 ci/raydepsets/test_cli.py | 32 +++++++++---------- .../{test.config.yaml => test.depsets.yaml} | 0 5 files changed, 19 insertions(+), 19 deletions(-) rename ci/raydepsets/{depset.config.yaml => ray.depsets.yaml} (100%) rename ci/raydepsets/test_data/{test.config.yaml => test.depsets.yaml} (100%) diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 59eb8109505c..824fa78d39ca 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -32,7 +32,7 @@ py_test( "test_data/requirements_compiled_test_expand.txt", "test_data/requirements_compiled_test_update.txt", "test_data/requirements_test.txt", - "test_data/test.config.yaml", + "test_data/test.depsets.yaml", ], exec_compatible_with = ["//:hermetic_python"], tags = [ diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index b4cb2922121f..b9653ae48d33 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -30,7 +30,7 @@ def cli(): @cli.command() -@click.argument("config_path", default="ci/raydepsets/depset.config.yaml") +@click.argument("config_path", default="ci/raydepsets/ray.depsets.yaml") @click.option("--workspace-dir", default=None) @click.option("--name", default=None) def load(config_path: str, workspace_dir: str, name: str): @@ -45,7 +45,7 @@ def load(config_path: str, workspace_dir: str, name: str): class DependencySetManager: def __init__( self, - config_path: Path = Path(__file__).parent / "depset.config.yaml", + config_path: Path = Path(__file__).parent / "ray.depsets.yaml", workspace_dir: str = None, ): self.workspace = Workspace(workspace_dir) diff --git a/ci/raydepsets/depset.config.yaml b/ci/raydepsets/ray.depsets.yaml similarity index 100% rename from ci/raydepsets/depset.config.yaml rename to ci/raydepsets/ray.depsets.yaml diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index f72a782dcf23..4604c96d7d67 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -31,7 +31,7 @@ def test_cli_load_fail_no_config(self): result = CliRunner().invoke( load, [ - "fake_path/test.config.yaml", + "fake_path/test.depsets.yaml", "--workspace-dir", "/ci/raydepsets/test_data", ], @@ -44,7 +44,7 @@ def test_dependency_set_manager_init(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) assert manager is not None @@ -61,7 +61,7 @@ def test_dependency_set_manager_get_depset(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) with self.assertRaises(KeyError): @@ -96,7 +96,7 @@ def test_compile(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) manager.compile( @@ -124,7 +124,7 @@ def test_compile_update_package(self): ) shutil.copy(compiled_file, output_file) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) manager.compile( @@ -146,7 +146,7 @@ def test_compile_by_depset_name(self): result = CliRunner().invoke( load, [ - "test.config.yaml", + "test.depsets.yaml", "--workspace-dir", tmpdir, "--name", @@ -172,7 +172,7 @@ def test_subset(self): ["six==1.16.0"], ) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) # Compile general_depset with requirements_test.txt and requirements_test_subset.txt @@ -207,7 +207,7 @@ def test_subset_does_not_exist(self): ["six==1.16.0"], ) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) manager.compile( @@ -231,7 +231,7 @@ def test_check_if_subset_exists(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) source_depset = Depset( @@ -251,7 +251,7 @@ def test_compile_bad_requirements(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) with self.assertRaises(RuntimeError): @@ -267,7 +267,7 @@ def test_get_path(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) assert ( @@ -279,7 +279,7 @@ def test_build_graph(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) assert manager.build_graph is not None @@ -303,7 +303,7 @@ def test_build_graph(self): def test_build_graph_bad_operation(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - with open(Path(tmpdir) / "test.config.yaml", "w") as f: + with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: f.write( """ depsets: @@ -316,7 +316,7 @@ def test_build_graph_bad_operation(self): ) with self.assertRaises(ValueError): DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) @@ -340,7 +340,7 @@ def test_expand(self): "six==1.17.0", ) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) manager.compile( @@ -387,7 +387,7 @@ def test_expand_with_requirements(self): "six==1.17.0", ) manager = DependencySetManager( - config_path="test.config.yaml", + config_path="test.depsets.yaml", workspace_dir=tmpdir, ) manager.compile( diff --git a/ci/raydepsets/test_data/test.config.yaml b/ci/raydepsets/test_data/test.depsets.yaml similarity index 100% rename from ci/raydepsets/test_data/test.config.yaml rename to ci/raydepsets/test_data/test.depsets.yaml From 66b7febd184aaec6888b24e51d6ee177d49d9821 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 4 Aug 2025 12:09:16 -0700 Subject: [PATCH 0471/1566] [wheel] do not depend on `:ray_pkg` from java (#55181) depends on `//:ray_pkg_zip` instead, with comment asking user to manually run `//:gen_ray_pkg` the java test rules are not conventional, hermetic ones, but "local" ones that run in the source code directory. the ray core rules are all converted to non-local, hermetic build rules, and we are deprecating the local `ray_pkg` one. as a result, for the java rules to run, one has to manually run the `bazel run //:gen_ray_pkg` to copy the ray core bits back to the source directory. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- java/BUILD.bazel | 20 ++++++++++++++++---- java/test.sh | 3 +++ 3 files changed, 20 insertions(+), 5 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 3aed168dbccd..6d82555fa8fb 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -776,7 +776,7 @@ pkg_zip( "//conditions:default": [], }), out = "ray_pkg.zip", - visibility = ["//visibility:private"], + visibility = ["//java:__pkg__"], ) genrule( diff --git a/java/BUILD.bazel b/java/BUILD.bazel index cce14fa9bfa5..7b1fa7fccccd 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -195,6 +195,17 @@ java_library( ], ) +# This is a local java test rule. It needs generated files to be copied into +# the source tree before running. To build and generate ray core (gcs and +# raylet), run `bazelisk run //:gen_ray_pkg` first. +# +# This rule used to depend on local genrules, which are deprecated. Reason +# being that local genrules are build rules and do not capture changes in +# source tree, and hence cannot be cached by bazel remote cache. Using local +# genrule forces bazel to effectively disable caching globally to have a +# correct build. +# +# TODO(ray-ci): covert java tests to non-local, hermetic tests. java_test( name = "all_tests", testonly = True, @@ -202,7 +213,7 @@ java_test( data = [ "testng.xml", ":ray_java_pkg", - "//:ray_pkg", + "//:ray_pkg_zip", ], main_class = "org.testng.TestNG", resources = [ @@ -216,15 +227,16 @@ java_test( ) # 0. `cp testng_custom_template.xml testng_custom.xml` -# 1. Specify test class/method in `testng_custom.xml` -# 2. `bazel test //java:custom_test --test_output=streamed` +# 1. `bazel run //:gen_ray_pkg` +# 2. Specify test class/method in `testng_custom.xml` +# 3. `bazel test //java:custom_test --test_output=streamed` java_test( name = "custom_test", args = ["java/testng_custom.xml"], data = [ "testng_custom.xml", ":ray_java_pkg", - "//:ray_pkg", + "//:ray_pkg_zip", ], main_class = "org.testng.TestNG", tags = ["local"], diff --git a/java/test.sh b/java/test.sh index 3249d3e8753c..9f80350b2f32 100755 --- a/java/test.sh +++ b/java/test.sh @@ -68,6 +68,9 @@ bazel build //java:copy_pom_files bazel build //java:cp_java_generated bazel build //java:gen_maven_deps +echo "Build ray core." +bazel run //:gen_ray_pkg + echo "Build test jar." bazel build //java:all_tests_shaded.jar From 85e226212aa7e312b124a857f2cabd38fe06d142 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Mon, 4 Aug 2025 12:11:33 -0700 Subject: [PATCH 0472/1566] [llm] bump vLLM to version 0.10.0 (#55067) - Use upstream `RayPrometheusStatLogger` to close spec. decode + lora errors - Include fix for https://github.com/vllm-project/vllm/issues/20647 - Restore PP=2 to DeepSeek-V2-Lite release test - Remove copy of `FrontendArgs` upstreamed with https://github.com/vllm-project/vllm/pull/20206/ Closes https://github.com/ray-project/ray/issues/54952 Includes fix for https://github.com/ray-project/ray/issues/54812 --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../examples/e2e-audio/ci/build.sh | 2 +- .../serve/deployments/llm/vllm/vllm_engine.py | 11 +- .../deployments/llm/vllm/vllm_loggers.py | 564 ------------------ .../serve/deployments/llm/vllm/vllm_models.py | 45 +- python/requirements/llm/llm-requirements.txt | 2 +- .../llm/llm-test-requirements.txt | 2 +- ...requirements_compiled_rayllm_py311_cpu.txt | 416 +++++++------ ...quirements_compiled_rayllm_py311_cu121.txt | 478 ++++++++------- ...quirements_compiled_rayllm_py311_cu128.txt | 390 +++++++----- ...rements_compiled_rayllm_test_py311_cpu.txt | 401 ++++++++----- ...ments_compiled_rayllm_test_py311_cu121.txt | 463 ++++++++------ ...ments_compiled_rayllm_test_py311_cu128.txt | 375 +++++++----- python/setup.py | 2 +- .../serve/test_llm_serve_integration.py | 79 ++- 14 files changed, 1565 insertions(+), 1665 deletions(-) delete mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py diff --git a/doc/source/ray-overview/examples/e2e-audio/ci/build.sh b/doc/source/ray-overview/examples/e2e-audio/ci/build.sh index 733f5940e97b..f8076dd12f71 100755 --- a/doc/source/ray-overview/examples/e2e-audio/ci/build.sh +++ b/doc/source/ray-overview/examples/e2e-audio/ci/build.sh @@ -10,4 +10,4 @@ pip3 install --no-cache-dir \ huggingface-hub[hf_xet]==0.32.6 \ pydantic==2.9.2 \ transformers==4.52.4 \ - xgrammar==0.1.19 + xgrammar==0.1.21 diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 9df0eee12a16..e727389731a6 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -7,6 +7,7 @@ from starlette.requests import Request from transformers.dynamic_module_utils import init_hf_modules from vllm.engine.arg_utils import AsyncEngineArgs +from vllm.entrypoints.openai.cli_args import FrontendArgs from vllm.entrypoints.openai.protocol import ErrorResponse as VLLMErrorResponse import ray @@ -26,7 +27,6 @@ ) from ray.llm._internal.serve.deployments.llm.llm_engine import LLMEngine from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( - FrontendArgs, VLLMEngineConfig, ) from ray.llm._internal.serve.deployments.utils.node_initialization_utils import ( @@ -339,12 +339,11 @@ def _start_async_llm_engine( custom_stat_loggers = None if self.llm_config.log_engine_metrics: - from ray.llm._internal.serve.deployments.llm.vllm.vllm_loggers import ( - RayPrometheusStatLogger, - ) + from vllm.v1.metrics.ray_wrappers import RayPrometheusStatLogger - # V1 AsyncLLM does not yet support add_logger - # For now, assume folks enabling log_engine_metrics do not require LoggingStatLogger, PrometheusStatLogger + # V1 AsyncLLM does not yet support add_logger: https://github.com/vllm-project/vllm/issues/17702 + # Use `disable_log_stats: False` and `log_engine_metrics: False` as + # a workaround to enable PrometheusStatLogger instead. custom_stat_loggers = [RayPrometheusStatLogger] executor_class = Executor.get_class(vllm_engine_config) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py deleted file mode 100644 index ff24d0e21f37..000000000000 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_loggers.py +++ /dev/null @@ -1,564 +0,0 @@ -from typing import Optional, Type, cast - -import prometheus_client -from vllm.config import SpeculativeConfig, SupportsMetricsInfo, VllmConfig -from vllm.engine.metrics import ( - _RayCounterWrapper, - _RayGaugeWrapper, - _RayHistogramWrapper, -) -from vllm.v1.engine import FinishReason -from vllm.v1.metrics.loggers import StatLoggerBase, build_1_2_5_buckets -from vllm.v1.metrics.stats import IterationStats, SchedulerStats -from vllm.v1.spec_decode.metrics import SpecDecodingStats - -from ray.util import metrics as ray_metrics - - -class SpecDecodingProm: - """Record spec decoding metrics in Prometheus. - - The acceptance rate can be calculated using a PromQL query: - - rate(vllm:spec_decode_num_accepted_tokens_total[$interval]) / - rate(vllm:spec_decode_num_draft_tokens_total[$interval]) - - The mean acceptance length can be calculated using: - - rate(vllm:spec_decode_num_accepted_tokens_total[$interval]) / - rate(vllm:spec_decode_num_drafts[$interval]) - - A per-position acceptance rate vector can be computed using - - vllm:spec_decode_num_accepted_tokens_per_pos[$interval] / - vllm:spec_decode_num_drafts[$interval] - """ - - _counter_cls = prometheus_client.Counter - - def __init__( - self, - speculative_config: Optional[SpeculativeConfig], - labelnames: list[str], - labelvalues: list[str], - ): - self.spec_decoding_enabled = speculative_config is not None - if not self.spec_decoding_enabled: - return - - self.counter_spec_decode_num_drafts = self._counter_cls( - name="vllm:spec_decode_num_drafts_total", - documentation="Number of spec decoding drafts.", - labelnames=labelnames, - ).labels(*labelvalues) - self.counter_spec_decode_num_draft_tokens = self._counter_cls( - name="vllm:spec_decode_num_draft_tokens_total", - documentation="Number of draft tokens.", - labelnames=labelnames, - ).labels(*labelvalues) - self.counter_spec_decode_num_accepted_tokens = self._counter_cls( - name="vllm:spec_decode_num_accepted_tokens_total", - documentation="Number of accepted tokens.", - labelnames=labelnames, - ).labels(*labelvalues) - - assert speculative_config is not None - num_spec_tokens = ( - speculative_config.num_speculative_tokens - if self.spec_decoding_enabled - else 0 - ) - pos_labelnames = labelnames + ["position"] - base_counter = self._counter_cls( - name="vllm:spec_decode_num_accepted_tokens_per_pos", - documentation="Accepted tokens per draft position.", - labelnames=pos_labelnames, - ) - self.counter_spec_decode_num_accepted_tokens_per_pos: list[ - prometheus_client.Counter - ] = [] - for pos in range(num_spec_tokens): - pos_labelvalues = labelvalues + [str(pos)] - self.counter_spec_decode_num_accepted_tokens_per_pos.append( - base_counter.labels(*pos_labelvalues) - ) - - def observe(self, spec_decoding_stats: SpecDecodingStats): - if not self.spec_decoding_enabled: - return - self.counter_spec_decode_num_drafts.inc(spec_decoding_stats.num_drafts) - self.counter_spec_decode_num_draft_tokens.inc( - spec_decoding_stats.num_draft_tokens - ) - self.counter_spec_decode_num_accepted_tokens.inc( - spec_decoding_stats.num_accepted_tokens - ) - for pos, counter in enumerate( - self.counter_spec_decode_num_accepted_tokens_per_pos - ): - counter.inc(spec_decoding_stats.num_accepted_tokens_per_pos[pos]) - - -class Metrics: - """ - vLLM uses a multiprocessing-based frontend for the OpenAI server. - This means that we need to run prometheus_client in multiprocessing mode - See https://prometheus.github.io/client_python/multiprocess/ for more - details on limitations. - """ - - _gauge_cls = prometheus_client.Gauge - _counter_cls = prometheus_client.Counter - _histogram_cls = prometheus_client.Histogram - _spec_decoding_cls = SpecDecodingProm - - def __init__(self, vllm_config: VllmConfig, engine_index: int = 0): - self._unregister_vllm_metrics() - - # Use this flag to hide metrics that were deprecated in - # a previous release and which will be removed future - self.show_hidden_metrics = vllm_config.observability_config.show_hidden_metrics - - labels = { - "model_name": vllm_config.model_config.served_model_name, - "engine": str(engine_index), - } - labelnames = list(labels.keys()) - - max_model_len = vllm_config.model_config.max_model_len - - self.spec_decoding_prom = self._spec_decoding_cls( - vllm_config.speculative_config, labelnames, labels.values() - ) - - # - # Scheduler state - # - self.gauge_scheduler_running = self._gauge_cls( - name="vllm:num_requests_running", - documentation="Number of requests in model execution batches.", - labelnames=labelnames, - ).labels(**labels) - - self.gauge_scheduler_waiting = self._gauge_cls( - name="vllm:num_requests_waiting", - documentation="Number of requests waiting to be processed.", - labelnames=labelnames, - ).labels(**labels) - - # - # GPU cache - # - self.gauge_gpu_cache_usage = self._gauge_cls( - name="vllm:gpu_cache_usage_perc", - documentation="GPU KV-cache usage. 1 means 100 percent usage.", - labelnames=labelnames, - ).labels(**labels) - - self.counter_gpu_prefix_cache_queries = self._counter_cls( - name="vllm:gpu_prefix_cache_queries", - documentation="GPU prefix cache queries, in terms of number of queried blocks.", - labelnames=labelnames, - ).labels(**labels) - - self.counter_gpu_prefix_cache_hits = self._counter_cls( - name="vllm:gpu_prefix_cache_hits", - documentation="GPU prefix cache hits, in terms of number of cached blocks.", - labelnames=labelnames, - ).labels(**labels) - - # - # Counters - # - self.counter_num_preempted_reqs = self._counter_cls( - name="vllm:num_preemptions_total", - documentation="Cumulative number of preemption from the engine.", - labelnames=labelnames, - ).labels(**labels) - - self.counter_prompt_tokens = self._counter_cls( - name="vllm:prompt_tokens_total", - documentation="Number of prefill tokens processed.", - labelnames=labelnames, - ).labels(**labels) - - self.counter_generation_tokens = self._counter_cls( - name="vllm:generation_tokens_total", - documentation="Number of generation tokens processed.", - labelnames=labelnames, - ).labels(**labels) - - self.counter_request_success: dict[FinishReason, prometheus_client.Counter] = {} - counter_request_success_base = self._counter_cls( - name="vllm:request_success_total", - documentation="Count of successfully processed requests.", - labelnames=labelnames + ["finished_reason"], - ) - - for reason in FinishReason: - request_success_labels = {"finished_reason": str(reason), **labels} - self.counter_request_success[reason] = counter_request_success_base.labels( - **request_success_labels - ) - - # - # Histograms of counts - # - self.histogram_num_prompt_tokens_request = self._histogram_cls( - name="vllm:request_prompt_tokens", - documentation="Number of prefill tokens processed.", - buckets=build_1_2_5_buckets(max_model_len), - labelnames=labelnames, - ).labels(**labels) - - self.histogram_num_generation_tokens_request = self._histogram_cls( - name="vllm:request_generation_tokens", - documentation="Number of generation tokens processed.", - buckets=build_1_2_5_buckets(max_model_len), - labelnames=labelnames, - ).labels(**labels) - - self.histogram_iteration_tokens = self._histogram_cls( - name="vllm:iteration_tokens_total", - documentation="Histogram of number of tokens per engine_step.", - buckets=[1, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384], - labelnames=labelnames, - ).labels(**labels) - - self.histogram_max_num_generation_tokens_request = self._histogram_cls( - name="vllm:request_max_num_generation_tokens", - documentation="Histogram of maximum number of requested generation tokens.", - buckets=build_1_2_5_buckets(max_model_len), - labelnames=labelnames, - ).labels(**labels) - - self.histogram_n_request = self._histogram_cls( - name="vllm:request_params_n", - documentation="Histogram of the n request parameter.", - buckets=[1, 2, 5, 10, 20], - labelnames=labelnames, - ).labels(**labels) - - self.histogram_max_tokens_request = self._histogram_cls( - name="vllm:request_params_max_tokens", - documentation="Histogram of the max_tokens request parameter.", - buckets=build_1_2_5_buckets(max_model_len), - labelnames=labelnames, - ).labels(**labels) - - # - # Histogram of timing intervals - # - self.histogram_time_to_first_token = self._histogram_cls( - name="vllm:time_to_first_token_seconds", - documentation="Histogram of time to first token in seconds.", - buckets=[ - 0.001, - 0.005, - 0.01, - 0.02, - 0.04, - 0.06, - 0.08, - 0.1, - 0.25, - 0.5, - 0.75, - 1.0, - 2.5, - 5.0, - 7.5, - 10.0, - 20.0, - 40.0, - 80.0, - 160.0, - 640.0, - 2560.0, - ], - labelnames=labelnames, - ).labels(**labels) - - self.histogram_time_per_output_token = self._histogram_cls( - name="vllm:time_per_output_token_seconds", - documentation="Histogram of time per output token in seconds.", - buckets=[ - 0.01, - 0.025, - 0.05, - 0.075, - 0.1, - 0.15, - 0.2, - 0.3, - 0.4, - 0.5, - 0.75, - 1.0, - 2.5, - 5.0, - 7.5, - 10.0, - 20.0, - 40.0, - 80.0, - ], - labelnames=labelnames, - ).labels(**labels) - - request_latency_buckets = [ - 0.3, - 0.5, - 0.8, - 1.0, - 1.5, - 2.0, - 2.5, - 5.0, - 10.0, - 15.0, - 20.0, - 30.0, - 40.0, - 50.0, - 60.0, - 120.0, - 240.0, - 480.0, - 960.0, - 1920.0, - 7680.0, - ] - self.histogram_e2e_time_request = self._histogram_cls( - name="vllm:e2e_request_latency_seconds", - documentation="Histogram of e2e request latency in seconds.", - buckets=request_latency_buckets, - labelnames=labelnames, - ).labels(**labels) - self.histogram_queue_time_request = self._histogram_cls( - name="vllm:request_queue_time_seconds", - documentation="Histogram of time spent in WAITING phase for request.", - buckets=request_latency_buckets, - labelnames=labelnames, - ).labels(**labels) - self.histogram_inference_time_request = self._histogram_cls( - name="vllm:request_inference_time_seconds", - documentation="Histogram of time spent in RUNNING phase for request.", - buckets=request_latency_buckets, - labelnames=labelnames, - ).labels(**labels) - self.histogram_prefill_time_request = self._histogram_cls( - name="vllm:request_prefill_time_seconds", - documentation="Histogram of time spent in PREFILL phase for request.", - buckets=request_latency_buckets, - labelnames=labelnames, - ).labels(**labels) - self.histogram_decode_time_request = self._histogram_cls( - name="vllm:request_decode_time_seconds", - documentation="Histogram of time spent in DECODE phase for request.", - buckets=request_latency_buckets, - labelnames=labelnames, - ).labels(**labels) - - # - # LoRA metrics - # - self.gauge_lora_info: Optional[prometheus_client.Gauge] = None - if vllm_config.lora_config is not None: - self.labelname_max_lora = "max_lora" - self.labelname_waiting_lora_adapters = "waiting_lora_adapters" - self.labelname_running_lora_adapters = "running_lora_adapters" - self.max_lora = vllm_config.lora_config.max_loras - self.gauge_lora_info = self._gauge_cls( - name="vllm:lora_requests_info", - documentation="Running stats on lora requests.", - labelnames=[ - self.labelname_max_lora, - self.labelname_waiting_lora_adapters, - self.labelname_running_lora_adapters, - ], - ) - - @staticmethod - def _unregister_vllm_metrics(): - # Unregister any existing vLLM collectors (for CI/CD - for collector in list(prometheus_client.REGISTRY._collector_to_names): - if hasattr(collector, "_name") and "vllm" in collector._name: - prometheus_client.REGISTRY.unregister(collector) - - -class RaySpecDecodingProm(SpecDecodingProm): - """ - RaySpecDecodingProm is used by RayMetrics to log to Ray metrics. - Provides the same metrics as SpecDecodingProm but uses Ray's util.metrics library. - """ - - _counter_cls: Type[prometheus_client.Counter] = cast( - Type[prometheus_client.Counter], _RayCounterWrapper - ) - - -class RayMetrics(Metrics): - """ - RayMetrics is used by RayPrometheusStatLogger to log to Ray metrics. - Provides the same metrics as Metrics but uses Ray's util.metrics library. - """ - - _gauge_cls: Type[prometheus_client.Gauge] = cast( - Type[prometheus_client.Gauge], _RayGaugeWrapper - ) - _counter_cls: Type[prometheus_client.Counter] = cast( - Type[prometheus_client.Counter], _RayCounterWrapper - ) - _histogram_cls: Type[prometheus_client.Histogram] = cast( - Type[prometheus_client.Histogram], _RayHistogramWrapper - ) - _spec_decoding_cls: Type[SpecDecodingProm] = cast( - Type[SpecDecodingProm], RaySpecDecodingProm - ) - - def __init__(self, vllm_config: VllmConfig, engine_index: int = 0): - if ray_metrics is None: - raise ImportError("RayMetrics requires Ray to be installed.") - super().__init__(vllm_config, engine_index) - - def _unregister_vllm_metrics(self) -> None: - # No-op on purpose - pass - - -# TODO(seiji): remove this whole file once we bump to vLLM that includes -# https://github.com/vllm-project/vllm/pull/19113 -class PrometheusStatLogger(StatLoggerBase): - _metrics_cls = Metrics - - def __init__(self, vllm_config: VllmConfig, engine_index: int = 0): - self.metrics = self._metrics_cls( - vllm_config=vllm_config, engine_index=engine_index - ) - self.vllm_config = vllm_config - # - # Cache config info metric - # - self.log_metrics_info("cache_config", vllm_config.cache_config) - - def log_metrics_info(self, type: str, config_obj: SupportsMetricsInfo): - metrics_info = config_obj.metrics_info() - - name, documentation = None, None - if type == "cache_config": - name = "vllm:cache_config_info" - documentation = "Information of the LLMEngine CacheConfig" - assert name is not None, f"Unknown metrics info type {type}" - - # Info type metrics are syntactic sugar for a gauge permanently set to 1 - # Since prometheus multiprocessing mode does not support Info, emulate - # info here with a gauge. - info_gauge = self._metrics_cls._gauge_cls( - name=name, documentation=documentation, labelnames=metrics_info.keys() - ).labels(**metrics_info) - info_gauge.set(1) - - def record( - self, scheduler_stats: SchedulerStats, iteration_stats: Optional[IterationStats] - ): - """Log to prometheus.""" - self.metrics.gauge_scheduler_running.set(scheduler_stats.num_running_reqs) - self.metrics.gauge_scheduler_waiting.set(scheduler_stats.num_waiting_reqs) - - # https://github.com/vllm-project/vllm/pull/18354 (part of vllm 0.9.2) - # renamed gpu_cache_usage to kv_cache_usage. - kv_cache_usage = ( - scheduler_stats.kv_cache_usage - if hasattr(scheduler_stats, "kv_cache_usage") - else scheduler_stats.gpu_cache_usage - ) - self.metrics.gauge_gpu_cache_usage.set(kv_cache_usage) - - self.metrics.counter_gpu_prefix_cache_queries.inc( - scheduler_stats.prefix_cache_stats.queries - ) - self.metrics.counter_gpu_prefix_cache_hits.inc( - scheduler_stats.prefix_cache_stats.hits - ) - - if scheduler_stats.spec_decoding_stats is not None: - self.metrics.spec_decoding_prom.observe(scheduler_stats.spec_decoding_stats) - - if iteration_stats is None: - return - - self.metrics.counter_num_preempted_reqs.inc(iteration_stats.num_preempted_reqs) - self.metrics.counter_prompt_tokens.inc(iteration_stats.num_prompt_tokens) - self.metrics.counter_generation_tokens.inc( - iteration_stats.num_generation_tokens - ) - self.metrics.histogram_iteration_tokens.observe( - iteration_stats.num_prompt_tokens + iteration_stats.num_generation_tokens - ) - - for max_gen_tokens in iteration_stats.max_num_generation_tokens_iter: - self.metrics.histogram_max_num_generation_tokens_request.observe( - max_gen_tokens - ) - for n_param in iteration_stats.n_params_iter: - self.metrics.histogram_n_request.observe(n_param) - for ttft in iteration_stats.time_to_first_tokens_iter: - self.metrics.histogram_time_to_first_token.observe(ttft) - for tpot in iteration_stats.time_per_output_tokens_iter: - self.metrics.histogram_time_per_output_token.observe(tpot) - - for finished_request in iteration_stats.finished_requests: - self.metrics.counter_request_success[finished_request.finish_reason].inc() - self.metrics.histogram_e2e_time_request.observe( - finished_request.e2e_latency - ) - self.metrics.histogram_queue_time_request.observe( - finished_request.queued_time - ) - self.metrics.histogram_prefill_time_request.observe( - finished_request.prefill_time - ) - self.metrics.histogram_inference_time_request.observe( - finished_request.inference_time - ) - self.metrics.histogram_decode_time_request.observe( - finished_request.decode_time - ) - self.metrics.histogram_num_prompt_tokens_request.observe( - finished_request.num_prompt_tokens - ) - self.metrics.histogram_num_generation_tokens_request.observe( - finished_request.num_generation_tokens - ) - self.metrics.histogram_max_tokens_request.observe( - finished_request.max_tokens_param - ) - - if self.metrics.gauge_lora_info is not None: - running_lora_adapters = ",".join( - iteration_stats.running_lora_adapters.keys() - ) - waiting_lora_adapters = ",".join( - iteration_stats.waiting_lora_adapters.keys() - ) - lora_info_labels = { - self.metrics.labelname_running_lora_adapters: running_lora_adapters, - self.metrics.labelname_waiting_lora_adapters: waiting_lora_adapters, - self.metrics.labelname_max_lora: self.metrics.max_lora, - } - self.metrics.gauge_lora_info.labels( - **lora_info_labels - ).set_to_current_time() - - def log_engine_initialized(self): - self.log_metrics_info("cache_config", self.vllm_config.cache_config) - - -class RayPrometheusStatLogger(PrometheusStatLogger): - """RayPrometheusStatLogger uses Ray metrics instead.""" - - _metrics_cls = RayMetrics - - def info(self, type: str, obj: SupportsMetricsInfo) -> None: - return None diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 8160056d3213..77e7237f3b56 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -1,10 +1,10 @@ import dataclasses import os -from dataclasses import dataclass, field from typing import Any, Dict, List, Optional from pydantic import ConfigDict, Field from vllm.engine.arg_utils import AsyncEngineArgs +from vllm.entrypoints.openai.cli_args import FrontendArgs from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.common.utils.cloud_utils import CloudMirrorConfig @@ -25,49 +25,6 @@ placement_group_table, ) - -# TODO (Kourosh): Temprary until this abstraction lands in vllm upstream. -# https://github.com/vllm-project/vllm/pull/20206 -@dataclass -class FrontendArgs: - """Mirror of default values for FrontendArgs in vllm.""" - - host: Optional[str] = None - port: int = 8000 - uvicorn_log_level: str = "info" - disable_uvicorn_access_log: bool = False - allow_credentials: bool = False - allowed_origins: list[str] = field(default_factory=lambda: ["*"]) - allowed_methods: list[str] = field(default_factory=lambda: ["*"]) - allowed_headers: list[str] = field(default_factory=lambda: ["*"]) - api_key: Optional[str] = None - lora_modules: Optional[list[str]] = None - prompt_adapters: Optional[list[str]] = None - chat_template: Optional[str] = None - chat_template_content_format: str = "auto" - response_role: str = "assistant" - ssl_keyfile: Optional[str] = None - ssl_certfile: Optional[str] = None - ssl_ca_certs: Optional[str] = None - enable_ssl_refresh: bool = False - ssl_cert_reqs: int = 0 - root_path: Optional[str] = None - middleware: list[str] = field(default_factory=lambda: []) - return_tokens_as_token_ids: bool = False - disable_frontend_multiprocessing: bool = False - enable_request_id_headers: bool = False - enable_auto_tool_choice: bool = False - tool_call_parser: Optional[str] = None - tool_parser_plugin: str = "" - log_config_file: Optional[str] = None - max_log_len: Optional[int] = None - disable_fastapi_docs: bool = False - enable_prompt_tokens_details: bool = False - enable_server_load_tracking: bool = False - enable_force_include_usage: bool = False - expand_tools_even_if_tool_choice_none: bool = False - - # The key for the kv_transfer_params in the internal metadata. KV_TRANSFER_PARAMS_KEY = "kv_transfer_params" vllm = try_import("vllm") diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index 7b956730c603..9bbfa41fbe8b 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -1,5 +1,5 @@ # Keep this in sync with the definition in setup.py for ray[llm] -vllm>=0.9.2 +vllm>=0.10.0 # For json mode jsonref>=1.1.0 jsonschema diff --git a/python/requirements/llm/llm-test-requirements.txt b/python/requirements/llm/llm-test-requirements.txt index f709acc62ea6..d1ab20228386 100644 --- a/python/requirements/llm/llm-test-requirements.txt +++ b/python/requirements/llm/llm-test-requirements.txt @@ -3,7 +3,7 @@ aiohttp pillow httpx>=0.27.2 pynvml>=12.0.0 -xgrammar==0.1.19 +xgrammar==0.1.21 jupytext>1.13.6 sphinx==6.2.1 backoff diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 45c4f8c743bf..98721a6e182a 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -114,12 +114,6 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # aiohttp -airportsdata==20241001 \ - --hash=sha256:67d71cf2c5378cc17ff66b62b1e11aa2444043949c894543ac8fd8dafce192fd \ - --hash=sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -245,6 +239,54 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -253,7 +295,7 @@ certifi==2025.1.31 \ # httpcore # httpx # requests -cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ +cffi==1.16.0 \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ @@ -309,6 +351,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -418,7 +461,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # gymnasium - # outlines # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ @@ -490,9 +532,9 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt # ray -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -507,7 +549,7 @@ diskcache==5.6.3 \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines + # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -913,15 +955,15 @@ hf-transfer==0.1.9 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.2 \ - --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ - --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ - --hash=sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c \ - --hash=sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3 \ - --hash=sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec \ - --hash=sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173 \ - --hash=sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3 \ - --hash=sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469 +hf-xet==1.1.5 \ + --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ + --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ + --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ + --hash=sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8 \ + --hash=sha256:ab34c4c3104133c495785d5d8bba3b1efc99de52c02e759cf711a91fd39d3a14 \ + --hash=sha256:dbba1660e5d810bd0ea77c511a99e9242d920790d0e63c0e4673ed36c4022d18 \ + --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ + --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # huggingface-hub @@ -985,9 +1027,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # tokenizers @@ -1021,8 +1063,6 @@ interegular==0.3.3 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # lm-format-enforcer - # outlines - # outlines-core jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 @@ -1030,7 +1070,6 @@ jinja2==3.1.6 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # fastapi # memray - # outlines # torch jiter==0.8.2 \ --hash=sha256:025337859077b41548bdcbabe38698bcd93cfe10b06ff66617a48ff92c9aec60 \ @@ -1126,8 +1165,6 @@ jsonschema==4.23.0 \ # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1140,7 +1177,6 @@ lark==1.2.2 \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ @@ -1352,9 +1388,9 @@ meson==1.8.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -1560,12 +1596,6 @@ multidict==6.0.5 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # aiohttp # yarl -nest-asyncio==1.5.8 \ - --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ - --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 @@ -1668,19 +1698,20 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision # transformers # vllm # xformers -openai==1.63.2 \ - --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ - --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -1742,41 +1773,51 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -2311,8 +2352,8 @@ pycountry==24.6.1 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt - # outlines -pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + # pydantic-extra-types +pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via @@ -2329,7 +2370,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -2436,6 +2477,12 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -2639,7 +2686,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -2749,7 +2795,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # outlines # ray # tiktoken # transformers @@ -3010,7 +3055,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3037,6 +3081,43 @@ sniffio==1.3.1 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # anyio # openai +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # mistral-common +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 @@ -3099,7 +3180,6 @@ tiktoken==0.9.0 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # mistral-common # vllm - # xgrammar tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ --hash=sha256:1039a3a5734944e09de1d48761ade94e00d0fa760c0e0551151d4dd851ba63e3 \ @@ -3120,64 +3200,63 @@ tokenizers==0.21.1 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # transformers # vllm -torch==2.7.0+cpu \ - --hash=sha256:1bc9e6a4e2463582ae020d76ea0753ed9c84526e235089414d25c2c6d16ae866 \ - --hash=sha256:1d7a6f33868276770a657beec7f77c7726b4da9d0739eff1b3ae64cc9a09d8e3 \ - --hash=sha256:2386859dee6191a2571ce15c65c3e18008d4e6f17d5256d49b4660e5464dcae8 \ - --hash=sha256:3b09aa2c8d30fa567a8d13270fbf9af7ee472fdfafbc7dfdc87c607bf46001f7 \ - --hash=sha256:58f7cd297f27b2b708b0dc03cc4e5be327ffd5f4f37204068c18e1bd55cd73d8 \ - --hash=sha256:64123c05615e27368c7a7816f6e39c6d219998693beabde0b0b9cedf91b5ed8b \ - --hash=sha256:69e25c973bdd7ea24b0fa9f9792114950afaeb8f819e5723819b923f50989175 \ - --hash=sha256:6b7edcbf8bb0b9ac2e6c001434797c5ec3f25394f91eb0ed7aeeeeed9ad4500f \ - --hash=sha256:7b31fa6b1d026542b4ed8ce7ec7ee5489413cd9bd6479c14c5ad559c15d92e3b \ - --hash=sha256:7d0a4106bc0fe339295f509900ce46228f45b9ad8646662fe50c7d9e5960c3c1 \ - --hash=sha256:99ca8f4cb53484c45bb668657069c17139c07367ea20ddef2c0ce8412f42da2f \ - --hash=sha256:a05f25ef1ebdf2af323141648787e7bea51bd8db90e1adebc14a85d8ba20d16a \ - --hash=sha256:a845b6f3bda3c40f736847dede95d8bfec81fb7e11458cd25973ba13542cf1f6 \ - --hash=sha256:addf9107939522ffb3b60d2900fee838a77dbe098e2643e01164f46f8612f9c0 \ - --hash=sha256:b42cfe122faed26c6ffee1c97d64e6a1f72a081b64d457a2c97244c1497f4adc \ - --hash=sha256:c98c4f48f42a2237e079f3de48e8549de2c8cf68cdcf2041564c7794bbce0b59 \ - --hash=sha256:ce510375ed79223db3ec144fe14cbcffc8a361ac57f39674397ff2d8db3b2c21 \ - --hash=sha256:e32f385dc0b5007ca410035c3b91ef4b1b34b142e9bcdb31d3f0224b7748e992 \ - --hash=sha256:f874c1ba4c834db5848eaafd6e63dfce87fb44bb2d9234978c3ad47b5b0f37dd +torch==2.7.1+cpu \ + --hash=sha256:0bc887068772233f532b51a3e8c8cfc682ae62bef74bf4e0c53526c8b9e4138f \ + --hash=sha256:1f04a373a3f643821f721da9898ef77dce73b5b6bfc64486f0976f7fb5f90e83 \ + --hash=sha256:355614185a2aea7155f9c88a20bfd49de5f3063866f3cf9b2f21b6e9e59e31e0 \ + --hash=sha256:3bf2db5adf77b433844f080887ade049c4705ddf9fe1a32023ff84ff735aa5ad \ + --hash=sha256:464bca1bc9452f2ccd676514688896e66b9488f2a0268ecd3ac497cf09c5aac1 \ + --hash=sha256:56136a2aca6707df3c8811e46ea2d379eaafd18e656e2fd51e8e4d0ca995651b \ + --hash=sha256:5fe6045b8f426bf2d0426e4fe009f1667a954ec2aeb82f1bd0bf60c6d7a85445 \ + --hash=sha256:7b977eccbc85ae2bd19d6998de7b1f1f4bd3c04eaffd3015deb7934389783399 \ + --hash=sha256:84ea1f6a1d15663037d01b121d6e33bb9da3c90af8e069e5072c30f413455a57 \ + --hash=sha256:8f8b3cfc53010a4b4a3c7ecb88c212e9decc4f5eeb6af75c3c803937d2d60947 \ + --hash=sha256:a1684793e352f03fa14f78857e55d65de4ada8405ded1da2bf4f452179c4b779 \ + --hash=sha256:a2618775f32eb4126c5b2050686da52001a08cffa331637d9cf51c8250931e00 \ + --hash=sha256:a4551cb97b83df5f93fc0d7538332535828581e1db2f179afc287027afbdd6e8 \ + --hash=sha256:b4cc706973655151f198d027ed34c92ab31a3db55676b44251194e1280631426 \ + --hash=sha256:b66f77f6f67317344ee083aa7ac4751a14395fcb38060d564bf513978d267153 \ + --hash=sha256:c0df17cee97653d09a4e84488a33d21217f9b24208583c55cf28f0045aab0766 \ + --hash=sha256:d205cac087d60bc176bdc0b63a1d00dc7a4ee5ac76fd20a2ca318ac65674167e \ + --hash=sha256:d25435bdc4780d3cb512aad55142aca9584ae1fe8f8691cda6d32f19faf5d58e \ + --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0+cpu \ - --hash=sha256:37bad00f69405692f4bcf46a93762d67c961ff9dbdace24a0948b4c31512993d \ - --hash=sha256:586d1a23f10d45ab5fb15483fdccaa987e3103f4f611173b35c1eb3e5776fa92 \ - --hash=sha256:6488fed9095a4f78ed8f71d7cbc94e7949c777eec412b4e0acd5e40a3e163505 \ - --hash=sha256:7df4a8f2762af73e89f31f9b2de8b07d08ab20a701f5a604c6c1dd23a777b23a \ - --hash=sha256:806d9b6b413568db5176297adbabae2ced413c0b5eec78122e0de84ea066475e \ - --hash=sha256:a551be6cdda863594b5f404e9552404ec910b8a2c820b6a002c6a80fa8d1ae59 \ - --hash=sha256:a807a6dabb9fe2d69c9cf49671dafdca5b180e62f8e941ce768f962421cdc1db \ - --hash=sha256:b9cb87cea7fca9ad3886a637282cf7eec3aeed632d26998f6f58c950494a4324 \ - --hash=sha256:c8164c0169310b8fbb2cd8b3669f2d44cff9a767ee05cdf499ef9bdfbc5cdc61 \ - --hash=sha256:cb961386bf0b1b2fc94afb933e0d2dc553d281ac275d84d4f082758fd03249ab \ - --hash=sha256:d100459bcb2fe1273f5deb4faf1f23411b3e0d096aa947a5230f8cad8d4a2e7e \ - --hash=sha256:f95c2810e7cfa9ebcd32fd61cdcc950bc6ec5560454dcb56b1461fd51eaa043e +torchaudio==2.7.1+cpu \ + --hash=sha256:2746064c15032e674d1bf6c6e1686f7a43184a8f065ee1f1bdb81c782e82537c \ + --hash=sha256:2ec85e79386c3e68ae67ac74033118253f0c7a64a8343a58b2df802e42ca9f74 \ + --hash=sha256:5856ce75fb0cfb2a0d8be4e3f9def122414f009aad4347161ad80f5b8f708fa4 \ + --hash=sha256:65bf843345ae05629b7f71609bab0808004dabfce6cf48ea508a5d4f5419ca74 \ + --hash=sha256:6d4855a0d40d700b6a20b5d2691cfc9ea2296419e3ab0442ee2a1e8d0b73242a \ + --hash=sha256:79b75d9f8dadad5da128fd6677fe717669ce580c0d54c8407792854ac8b97349 \ + --hash=sha256:a36569e17ff4519a21f2113e9a19a8def0d70e2fd9fabc9105ca57dee3809443 \ + --hash=sha256:a71ef774991658188721f53ebf05c8858b2baf0abb17b65bf447b294f3e63e2e \ + --hash=sha256:c6b82f209797d0b6e46c33a76facb39987141c453f85d9d0fa849363d47c2f42 \ + --hash=sha256:d7bd84b934f365e537e519838e9a5e7e6aef0d94e3d1419e8734f58b1142f326 \ + --hash=sha256:deb19d2a1cbbe49f9d14a9fe3dce65fef8dd98570aa8b6a65d7f5d1e0d16d0f3 \ + --hash=sha256:e169a2b62e55342f2f30e17640054707c8e339045a1ccc2db33517e9debb2767 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -torchvision==0.22.0+cpu \ - --hash=sha256:0172e52a8df7779632e5f7e7842e4de1e787e2a8f790b0bf4547ef1d025f16fd \ - --hash=sha256:5878553b984d5903f4428a0de4d9e07a8d8d6c46a1a1072da6b2064c6e673a74 \ - --hash=sha256:619f1a227797622aaffc781d694e66e682ab522fc6de75ac3551641326675cfa \ - --hash=sha256:670082705cfb51a35ae35090b5a0e66ec09e6d9c3845e16417399adec7a17ff2 \ - --hash=sha256:717d02d998384278ab020a5967025453f209d18d8f524fc7dd9c76e892ae599a \ - --hash=sha256:73b8bc94023e24d8fce8ece2175d4e588e704b83cc43dd2a185a0a1dc92b8d9a \ - --hash=sha256:b1070b55bed045e0f41afe8d6617fc1b6d47088aa3b3430d87f8fcac48f43386 \ - --hash=sha256:b180a2c568665b8ffa442ff3d7dfdba0eaf99c0ea22e987f6c47ade3cc13eadf \ - --hash=sha256:d140054f605f0567ff4619d3b31811a0cf2fd2198a536583550d3f5d40ba6b3b \ - --hash=sha256:e65592541fd4ceb3609acf6da16b56c3cd9d93ef3a56cf8240236416c08f31dd \ - --hash=sha256:e74be2e4efe2253cd145a80a7c21defe2e48125a114445f06bf02640f6579109 \ - --hash=sha256:effb34eabe87ae0d811fe2d6e3433ed1eee2d1850ff0670964d1475a06512c73 +torchvision==0.22.1+cpu \ + --hash=sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8 \ + --hash=sha256:433cb4dbced7291f17064cea08ac1e5aebd02ec190e1c207d117ad62a8961f2b \ + --hash=sha256:445e442b94c365f7fd96596347c8a5a7fcfcbfca17a23baa8c9dcc8cb00fceee \ + --hash=sha256:4e0cbc165a472605d0c13da68ae22e84b17a6b815d5e600834777823e1bcb658 \ + --hash=sha256:9482adee074f60a45fd69892f7488281aadfda7836948c94b0a9b0caf55d1d67 \ + --hash=sha256:99788dd0d97ac8cdf25c74481e869e298626ffd8d6532defff6711f60516c88a \ + --hash=sha256:a93c21f18c33a819616b3dda7655aa4de40b219682c654175b6bbeb65ecc2e5f \ + --hash=sha256:ab7ae82529887c704c1b5d1d5198f65dc777d04fc3858b374503a6deedb82b19 \ + --hash=sha256:b2d1c4bdbfd8e6c779dc810a6171b56224f1332fc46986810d4081bed1633804 \ + --hash=sha256:b5fa7044bd82c6358e8229351c98070cf3a7bf4a6e89ea46352ae6c65745ef94 \ + --hash=sha256:c852e61bc903351169017e2e96389f28f6cfb52ca7c3945acceb31e7fe1b21e6 \ + --hash=sha256:e31f1273a8dd9760906288036ac3c8f5fef25eed393da0491db150d7be78910d # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm @@ -3189,12 +3268,11 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm -transformers==4.51.3 \ - --hash=sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409 \ - --hash=sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # compressed-tensors @@ -3237,9 +3315,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -3306,9 +3384,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt @@ -3413,44 +3491,38 @@ websockets==15.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # uvicorn -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ - --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ - --hash=sha256:60396dff69a04071249809885962b7365afe650a7910f094d67b045b47a60388 \ - --hash=sha256:7b2e2aa615bce02ac20d58232b0e17304c62ec533ac0db2040a948df0155858d \ - --hash=sha256:8549ca30700d70dae904ec4407c6188cd73fd551e585f862c1d3aca3b7bc371c \ - --hash=sha256:9ce1634798cb96643f077acbced80f985e3cdab12cf468851057ed31cab0bdab \ - --hash=sha256:9e54eed6080e65455213174ad6b26c5e361715ca2d52759fde26055188802d92 \ - --hash=sha256:a12bf3eb39e294cdbe8a7253ac9b665f41bac61d6d98df174e34ef7bdb6f2fc4 \ - --hash=sha256:f9c9476fb7bd5d60c396ce096e36ae3e7c3461101da7a228ab1d2b7e64fb2318 +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ + --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ + --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index c4b1ac399b78..5d5361ea2899 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -114,12 +114,6 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # aiohttp -airportsdata==20241001 \ - --hash=sha256:67d71cf2c5378cc17ff66b62b1e11aa2444043949c894543ac8fd8dafce192fd \ - --hash=sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -245,6 +239,54 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -253,7 +295,7 @@ certifi==2025.1.31 \ # httpcore # httpx # requests -cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ +cffi==1.16.0 \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ @@ -309,6 +351,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -418,7 +461,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # gymnasium - # outlines # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ @@ -490,9 +532,9 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt # ray -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -507,7 +549,7 @@ diskcache==5.6.3 \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines + # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -913,15 +955,15 @@ hf-transfer==0.1.9 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.2 \ - --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ - --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ - --hash=sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c \ - --hash=sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3 \ - --hash=sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec \ - --hash=sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173 \ - --hash=sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3 \ - --hash=sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469 +hf-xet==1.1.5 \ + --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ + --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ + --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ + --hash=sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8 \ + --hash=sha256:ab34c4c3104133c495785d5d8bba3b1efc99de52c02e759cf711a91fd39d3a14 \ + --hash=sha256:dbba1660e5d810bd0ea77c511a99e9242d920790d0e63c0e4673ed36c4022d18 \ + --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ + --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # huggingface-hub @@ -985,9 +1027,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # tokenizers @@ -1021,8 +1063,6 @@ interegular==0.3.3 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # lm-format-enforcer - # outlines - # outlines-core jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 @@ -1030,7 +1070,6 @@ jinja2==3.1.6 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # fastapi # memray - # outlines # torch jiter==0.8.2 \ --hash=sha256:025337859077b41548bdcbabe38698bcd93cfe10b06ff66617a48ff92c9aec60 \ @@ -1126,8 +1165,6 @@ jsonschema==4.23.0 \ # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1140,7 +1177,6 @@ lark==1.2.2 \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ @@ -1352,9 +1388,9 @@ meson==1.8.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -1560,12 +1596,6 @@ multidict==6.0.5 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # aiohttp # yarl -nest-asyncio==1.5.8 \ - --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ - --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 @@ -1668,10 +1698,11 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision @@ -1794,9 +1825,9 @@ nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'li # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # torch -openai==1.63.2 \ - --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ - --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -1858,41 +1889,51 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -2427,8 +2468,8 @@ pycountry==24.6.1 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt - # outlines -pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + # pydantic-extra-types +pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via @@ -2445,7 +2486,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -2552,6 +2593,12 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -2755,7 +2802,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -2865,7 +2911,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # outlines # ray # tiktoken # transformers @@ -3126,7 +3171,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3153,6 +3197,43 @@ sniffio==1.3.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # anyio # openai +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # mistral-common +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 @@ -3215,7 +3296,6 @@ tiktoken==0.9.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # mistral-common # vllm - # xgrammar tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ --hash=sha256:1039a3a5734944e09de1d48761ade94e00d0fa760c0e0551151d4dd851ba63e3 \ @@ -3236,93 +3316,92 @@ tokenizers==0.21.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # transformers # vllm -torch==2.7.0 \ - --hash=sha256:0a8d43caa342b9986101ec5feb5bbf1d86570b5caa01e9cb426378311258fdde \ - --hash=sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183 \ - --hash=sha256:15aab3e31c16feb12ae0a88dba3434a458874636f360c567caa6a91f6bfba481 \ - --hash=sha256:176300ff5bc11a5f5b0784e40bde9e10a35c4ae9609beed96b4aeb46a27f5fae \ - --hash=sha256:27f5007bdf45f7bb7af7f11d1828d5c2487e030690afb3d89a651fd7036a390e \ - --hash=sha256:2a885fc25afefb6e6eb18a7d1e8bfa01cc153e92271d980a49243b250d5ab6d9 \ - --hash=sha256:2ad79d0d8c2a20a37c5df6052ec67c2078a2c4e9a96dd3a8b55daaff6d28ea29 \ - --hash=sha256:2b7813e904757b125faf1a9a3154e1d50381d539ced34da1992f52440567c156 \ - --hash=sha256:30b7688a87239a7de83f269333651d8e582afffce6f591fff08c046f7787296e \ - --hash=sha256:34e0168ed6de99121612d72224e59b2a58a83dae64999990eada7260c5dd582d \ - --hash=sha256:36a6368c7ace41ad1c0f69f18056020b6a5ca47bedaca9a2f3b578f5a104c26c \ - --hash=sha256:434cf3b378340efc87c758f250e884f34460624c0523fe5c9b518d205c91dd1b \ - --hash=sha256:58df8d5c2eeb81305760282b5069ea4442791a6bbf0c74d9069b7b3304ff8a37 \ - --hash=sha256:868ccdc11798535b5727509480cd1d86d74220cfdc42842c4617338c1109a205 \ - --hash=sha256:87b0802cab44659fcb6bcf5678d58fa4a8b48561cde8fb2d317edf0b6990e1bb \ - --hash=sha256:9b52347118116cf3dff2ab5a3c3dd97c719eb924ac658ca2a7335652076df708 \ - --hash=sha256:c9afea41b11e1a1ab1b258a5c31afbd646d6319042bfe4f231b408034b51128b \ - --hash=sha256:ccd7509141713997861b7a947ef0a717143cd7e9240addd168f38ba8fd23fd56 \ - --hash=sha256:d0ca446a93f474985d81dc866fcc8dccefb9460a29a456f79d99c29a78a66993 \ - --hash=sha256:e362efaa5b3078e5f75c33efc05005b9b46de0d2e899519d5b4cad0e050ed0f7 \ - --hash=sha256:edad98dddd82220465b106506bb91ee5ce32bd075cddbcf2b443dfaa2cbd83bf \ - --hash=sha256:f56d4b2510934e072bab3ab8987e00e60e1262fb238176168f5e0c43a1320c6d \ - --hash=sha256:fc1ed9258cbfce69970ff508ea60881818d414d098a800b7695ba36f570d34b0 \ - --hash=sha256:fd5cfbb4c3bbadd57ad1b27d56a28008f8d8753733411a140fcfb84d7f933a25 +torch==2.7.1 \ + --hash=sha256:03563603d931e70722dce0e11999d53aa80a375a3d78e6b39b9f6805ea0a8d28 \ + --hash=sha256:06eea61f859436622e78dd0cdd51dbc8f8c6d76917a9cf0555a333f9eac31ec1 \ + --hash=sha256:0da4f4dba9f65d0d203794e619fe7ca3247a55ffdcbd17ae8fb83c8b2dc9b585 \ + --hash=sha256:23660443e13995ee93e3d844786701ea4ca69f337027b05182f5ba053ce43b38 \ + --hash=sha256:236f501f2e383f1cb861337bdf057712182f910f10aeaf509065d54d339e49b2 \ + --hash=sha256:27ea1e518df4c9de73af7e8a720770f3628e7f667280bce2be7a16292697e3fa \ + --hash=sha256:30207f672328a42df4f2174b8f426f354b2baa0b7cca3a0adb3d6ab5daf00dc8 \ + --hash=sha256:787687087412c4bd68d315e39bc1223f08aae1d16a9e9771d95eabbb04ae98fb \ + --hash=sha256:79042feca1c634aaf6603fe6feea8c6b30dfa140a6bbc0b973e2260c7e79a22e \ + --hash=sha256:8273145a2e0a3c6f9fd2ac36762d6ee89c26d430e612b95a99885df083b04e52 \ + --hash=sha256:8394833c44484547ed4a47162318337b88c97acdb3273d85ea06e03ffff44998 \ + --hash=sha256:885453d6fba67d9991132143bf7fa06b79b24352f4506fd4d10b309f53454162 \ + --hash=sha256:988b0cbc4333618a1056d2ebad9eb10089637b659eb645434d0809d8d937b946 \ + --hash=sha256:a103b5d782af5bd119b81dbcc7ffc6fa09904c423ff8db397a1e6ea8fd71508f \ + --hash=sha256:a737b5edd1c44a5c1ece2e9f3d00df9d1b3fb9541138bee56d83d38293fb6c9d \ + --hash=sha256:aea4fc1bf433d12843eb2c6b2204861f43d8364597697074c8d38ae2507f8730 \ + --hash=sha256:c33360cfc2edd976c2633b3b66c769bdcbbf0e0b6550606d188431c81e7dd1fc \ + --hash=sha256:d632f5417b6980f61404a125b999ca6ebd0b8b4bbdbb5fbbba44374ab619a412 \ + --hash=sha256:d72acfdb86cee2a32c0ce0101606f3758f0d8bb5f8f31e7920dc2809e963aa7c \ + --hash=sha256:d8bf6e1856ddd1807e79dc57e54d3335f2b62e6f316ed13ed3ecfe1fc1df3d8b \ + --hash=sha256:df41989d9300e6e3c19ec9f56f856187a6ef060c3662fe54f4b6baf1fc90bd19 \ + --hash=sha256:e08d7e6f21a617fe38eeb46dd2213ded43f27c072e9165dc27300c9ef9570934 \ + --hash=sha256:e0d81e9a12764b6f3879a866607c8ae93113cbcad57ce01ebde63eb48a576369 \ + --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0 \ - --hash=sha256:0d421aa225b93564c98d3ba16f1960dee2edc8b4e375f62519fb51e2c489c123 \ - --hash=sha256:0e8a4b05f159ffba8107989cdef28aab2696307f3c7f78bb9d2e0af73eec980a \ - --hash=sha256:150fbde41da60296effed772b7a170f563cd44967555abb0603fc573f39ce245 \ - --hash=sha256:1c4a646c9e9347836c09e965eebc58dd028ec6ef34c46d3e7891bffd8dc645ea \ - --hash=sha256:1d928aeff495a0807b4da3b0dd46e15eae8070da5e7ed6d35c1dcfd9fdfe2b74 \ - --hash=sha256:275931c8a38ff84b5692df990506b41f18d0a0706574d96bc8456ad9e5fa85c8 \ - --hash=sha256:30675a5f99551e036974a7476729eb5d31f453cf792ae6e0a0d449960f84f464 \ - --hash=sha256:33004ed47f18f00044c97ee8cd9e3f5e1c2e26ef23d4f72b5f1ae33e6182587b \ - --hash=sha256:36b94819f5406b2599ac31542e2e7a7aaf4a5b5f466ce034f296b1ee1134c945 \ - --hash=sha256:65b4fc9b7f28367f918b02ae4db4290457bc4fdd160f22b7d684e93ab8dcb956 \ - --hash=sha256:677bd32031310ee73a47d6eebc2e74e74c1cf467932945ee88082a3935b5c950 \ - --hash=sha256:725dbbcc9e744ca62de8856262c6f472ca26b1cd5db062b062a2d6b66a336cc0 \ - --hash=sha256:862d9c5cfe15688a7846962b5d3c9f959beffe82b1e5441935c7a37504c5c5e7 \ - --hash=sha256:9d921eeb036512a87efde007977b27bd326320cd7cd5f43195824173fe82e888 \ - --hash=sha256:9e08138cac75cde2064c8b5bbd12f27bdeb3d36f4b8c2285fc9c42eaa97c0676 \ - --hash=sha256:9e4073992f4f8e7113e4b505d95095361ceb2f21dd7b9310776160a24266f8f6 \ - --hash=sha256:a5443422640cbe532aaacd83ad2ee6911b0451f7f50e6b3755015e92df579d37 \ - --hash=sha256:a6f03494075bcdd62e7fade7baf50a0ef107aa809d02b5e1786391adced451a3 \ - --hash=sha256:bd360b8dcd69bbce340a6415307d085263436331bbb4d08450f49fa9e8ecd080 \ - --hash=sha256:c37b77dd528ad18a036466e856f53d8bd5912b757a775309354b4a977a069379 \ - --hash=sha256:ce8cfc07a4e59c835404583e7d3e171208b332b61bb92643f8723f6f192da8bf \ - --hash=sha256:e86821cc0a111a5c95a513965a26424e0785710e37342de86d3b5804a54984ed \ - --hash=sha256:ee4add33f24e9cb959bd9de89f36de5ebf844eda040d1d0b38f08617d67dedc3 \ - --hash=sha256:f7c99f7c062d6a56a3e281e3c2b779099e64cad1ce78891df61c4d19ce40742e +torchaudio==2.7.1 \ + --hash=sha256:0ae0678ad27355eebea5a9fdd9ae9bfec444f8405f9b6c60026905ba3665c43a \ + --hash=sha256:1850475ef9101ea0b3593fe93ff6ee4e7a20598f6da6510761220b9fe56eb7fa \ + --hash=sha256:18560955b8beb2a8d39a6bfae20a442337afcefb3dfd4ee007ce82233a796799 \ + --hash=sha256:1862b063d8d4e55cb4862bcbd63568545f549825a3c5605bd312224c3ebb1919 \ + --hash=sha256:271f717844e5c7f9e05c8328de817bf90f46d83281c791e94f54d4edea2f5817 \ + --hash=sha256:2ba4df6e3ad35cb1e5bd162cf86b492526138f6476f5a06b10725b8880c618eb \ + --hash=sha256:30e21f043f5cc50f703c2cf0de75633e2c720227f9bf848ffc9b8b987871b3fc \ + --hash=sha256:4739af57d0eb94347d1c6a1b5668be78a7383afe826dde18a04883b9f9f263b1 \ + --hash=sha256:53bc4ba12e7468be34a7ca2ee837ee5c8bd5755b25c12f665af9339cae37e265 \ + --hash=sha256:6bb1e6db22fa2aad6b89b2a455ec5c6dc31df2635dbfafa213394f8b07b09516 \ + --hash=sha256:9306dcfc4586cebd7647a93fe9a448e791c4f83934da616b9433b75597a1f978 \ + --hash=sha256:98257fc14dd493ba5a3258fb6d61d27cd64a48ee79537c3964c4da26b9bf295f \ + --hash=sha256:9cbcdaab77ad9a73711acffee58f4eebc8a0685289a938a3fa6f660af9489aee \ + --hash=sha256:9ce8aed225d5ce65705d30f6ef8e457d329fe6ea0b8729ad953ba99e87da264e \ + --hash=sha256:9cfb8f6ace8e01e2b89de74eb893ba5ce936b88b415383605b0a4d974009dec7 \ + --hash=sha256:a07100fe2cf7af4fa69d8cb046a2b74046612621a1a548afa5af1c69e02eaf81 \ + --hash=sha256:c089dbfc14c5f47091b7bf3f6bf2bbac93b86619299d04d9c102f4ad53758990 \ + --hash=sha256:c802e0dcbf38669007327bb52f065573cc5cac106eaca987f6e1a32e6282263a \ + --hash=sha256:d5a62f88c629035913f506df03f710c48fc8bb9637191933f27c67088d5ca136 \ + --hash=sha256:d66bd76b226fdd4135c97650e1b7eb63fb7659b4ed0e3a778898e41dbba21b61 \ + --hash=sha256:e5f0599a507f4683546878ed9667e1b32d7ca3c8a957e4c15c6b302378ef4dee \ + --hash=sha256:e8b2da11a7f7782b00b823c99e812eb00ee8b3455ad474f8fd42a0da0bc4f46a \ + --hash=sha256:edb4deaa6f95acd5522912ed643303d0b86d79a6f15914362f5a5d49baaf5d13 \ + --hash=sha256:f8bd69354a397753b9dea9699d9e1251f8496fbbdf3028c7086a57a615bf33c3 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -torchvision==0.22.0 \ - --hash=sha256:0dc9b97fea14e7a8d047d0d21d8bfde6afd655c41a9a86207c9d3a7605319fcd \ - --hash=sha256:191ea28321fc262d8aa1a7fe79c41ff2848864bf382f9f6ea45c41dde8313792 \ - --hash=sha256:24b8c9255c209ca419cc7174906da2791c8b557b75c23496663ec7d73b55bebf \ - --hash=sha256:2b839ac0610a38f56bef115ee5b9eaca5f9c2da3c3569a68cc62dbcc179c157f \ - --hash=sha256:2ef38a397f1b9cf62846fb20659cb99101f9d361de8c45d79284ee45c6f40d50 \ - --hash=sha256:31c3165418fe21c3d81fe3459e51077c2f948801b8933ed18169f54652796a0f \ - --hash=sha256:3548d594ed7d0b7bc59486d642e2dd437f37910e52ab67e5f01567f12ed767dc \ - --hash=sha256:4095fac2b2e49a9c30f701e09ec1bdf3d11b1e48b006a76a9015a2ed8b39556e \ - --hash=sha256:471c6dd75bb984c6ebe4f60322894a290bf3d4b195e769d80754f3689cd7f238 \ - --hash=sha256:4ada1c08b2f761443cd65b7c7b4aec9e2fc28f75b0d4e1b1ebc9d3953ebccc4d \ - --hash=sha256:6c5620e10ffe388eb6f4744962106ed7cf1508d26e6fdfa0c10522d3249aea24 \ - --hash=sha256:6fbca169c690fa2b9b8c39c0ad76d5b8992296d0d03df01e11df97ce12b4e0ac \ - --hash=sha256:72256f1d7ff510b16c9fb4dd488584d0693f40c792f286a9620674438a81ccca \ - --hash=sha256:753d3c84eeadd5979a33b3b73a25ecd0aa4af44d6b45ed2c70d44f5e0ac68312 \ - --hash=sha256:810ea4af3bc63cf39e834f91f4218ff5999271caaffe2456247df905002bd6c0 \ - --hash=sha256:8c869df2e8e00f7b1d80a34439e6d4609b50fe3141032f50b38341ec2b59404e \ - --hash=sha256:8f116bc82e0c076e70ba7776e611ed392b9666aa443662e687808b08993d26af \ - --hash=sha256:b30e3ed29e4a61f7499bca50f57d8ebd23dfc52b14608efa17a534a55ee59a03 \ - --hash=sha256:cdc96daa4658b47ce9384154c86ed1e70cba9d972a19f5de6e33f8f94a626790 \ - --hash=sha256:ce292701c77c64dd3935e3e31c722c3b8b176a75f76dc09b804342efc1db5494 \ - --hash=sha256:ce4dc334ebd508de2c534817c9388e928bc2500cf981906ae8d6e2ca3bf4727a \ - --hash=sha256:e4017b5685dbab4250df58084f07d95e677b2f3ed6c2e507a1afb8eb23b580ca \ - --hash=sha256:e5d680162694fac4c8a374954e261ddfb4eb0ce103287b0f693e4e9c579ef957 \ - --hash=sha256:ece17995857dd328485c9c027c0b20ffc52db232e30c84ff6c95ab77201112c5 +torchvision==0.22.1 \ + --hash=sha256:043d9e35ed69c2e586aff6eb9e2887382e7863707115668ac9d140da58f42cba \ + --hash=sha256:153f1790e505bd6da123e21eee6e83e2e155df05c0fe7d56347303067d8543c5 \ + --hash=sha256:154a2bdc37a16122c2024f2f77e65f5986020b40c013515c694b5d357fac99a1 \ + --hash=sha256:2566cafcfa47ecfdbeed04bab8cef1307c8d4ef75046f7624b9e55f384880dfe \ + --hash=sha256:27142bcc8a984227a6dcf560985e83f52b82a7d3f5fe9051af586a2ccc46ef26 \ + --hash=sha256:3347f690c2eed6d02aa0edfb9b01d321e7f7cf1051992d96d8d196c39b881d49 \ + --hash=sha256:3b47d8369ee568c067795c0da0b4078f39a9dfea6f3bc1f3ac87530dfda1dd56 \ + --hash=sha256:4a614a6a408d2ed74208d0ea6c28a2fbb68290e9a7df206c5fef3f0b6865d307 \ + --hash=sha256:4addf626e2b57fc22fd6d329cf1346d474497672e6af8383b7b5b636fba94a53 \ + --hash=sha256:699c2d70d33951187f6ed910ea05720b9b4aaac1dcc1135f53162ce7d42481d3 \ + --hash=sha256:7414eeacfb941fa21acddcd725f1617da5630ec822e498660a4b864d7d998075 \ + --hash=sha256:75e0897da7a8e43d78632f66f2bdc4f6e26da8d3f021a7c0fa83746073c2597b \ + --hash=sha256:7ee682be589bb1a002b7704f06b8ec0b89e4b9068f48e79307d2c6e937a9fdf4 \ + --hash=sha256:86ad938f5a6ca645f0d5fb19484b1762492c2188c0ffb05c602e9e9945b7b371 \ + --hash=sha256:8b4a53a6067d63adba0c52f2b8dd2290db649d642021674ee43c0c922f0c6a69 \ + --hash=sha256:8be941b4d35c0aba819be70fdbbbed8ceb60401ce6996b8cfaaba1300ce62263 \ + --hash=sha256:964414eef19459d55a10e886e2fca50677550e243586d1678f65e3f6f6bac47a \ + --hash=sha256:990de4d657a41ed71680cd8be2e98ebcab55371f30993dc9bd2e676441f7180e \ + --hash=sha256:9c3ae3319624c43cc8127020f46c14aa878406781f0899bb6283ae474afeafbf \ + --hash=sha256:b7866a3b326413e67724ac46f1ee594996735e10521ba9e6cdbe0fa3cd98c2f2 \ + --hash=sha256:bb3f6df6f8fd415ce38ec4fd338376ad40c62e86052d7fc706a0dd51efac1718 \ + --hash=sha256:e01631046fda25a1eca2f58d5fdc9a152b93740eb82435cdb27c5151b8d20c02 \ + --hash=sha256:ef46e065502f7300ad6abc98554131c35dc4c837b978d91306658f1a65c00baa \ + --hash=sha256:ef7dee376f42900c0e7b0e34624f391d9ece70ab90ee74b42de0c1fffe371284 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm @@ -3334,19 +3413,18 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm -transformers==4.51.3 \ - --hash=sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409 \ - --hash=sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # compressed-tensors # vllm # xgrammar -triton==3.3.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8cf975f47838c495a6a1a71007abad31b56312924a97d78874412de3232a7993 +triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # torch @@ -3372,9 +3450,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -3441,9 +3519,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt @@ -3548,44 +3626,38 @@ websockets==15.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # uvicorn -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ - --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ - --hash=sha256:60396dff69a04071249809885962b7365afe650a7910f094d67b045b47a60388 \ - --hash=sha256:7b2e2aa615bce02ac20d58232b0e17304c62ec533ac0db2040a948df0155858d \ - --hash=sha256:8549ca30700d70dae904ec4407c6188cd73fd551e585f862c1d3aca3b7bc371c \ - --hash=sha256:9ce1634798cb96643f077acbced80f985e3cdab12cf468851057ed31cab0bdab \ - --hash=sha256:9e54eed6080e65455213174ad6b26c5e361715ca2d52759fde26055188802d92 \ - --hash=sha256:a12bf3eb39e294cdbe8a7253ac9b665f41bac61d6d98df174e34ef7bdb6f2fc4 \ - --hash=sha256:f9c9476fb7bd5d60c396ce096e36ae3e7c3461101da7a228ab1d2b7e64fb2318 +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ + --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ + --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index f3b22e0f2fa3..68e0f07cea75 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -114,12 +114,6 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # aiohttp -airportsdata==20250523 \ - --hash=sha256:78e0eb72efccd63bda2decf1c6ec0a8e1d3ae8312764a85baa56496607c8f3de \ - --hash=sha256:88ce8a928ee45d650b5214a3b16273f0bf1d04a4494c78a216aea067e42a0233 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -245,6 +239,54 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -253,7 +295,7 @@ certifi==2025.1.31 \ # httpcore # httpx # requests -cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ +cffi==1.16.0 \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ @@ -309,6 +351,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -418,7 +461,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # gymnasium - # outlines # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ @@ -490,9 +532,9 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt # ray -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -507,7 +549,7 @@ diskcache==5.6.3 \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines + # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -985,9 +1027,9 @@ httpx==0.28.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # tokenizers @@ -1021,8 +1063,6 @@ interegular==0.3.3 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # lm-format-enforcer - # outlines - # outlines-core jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 @@ -1030,7 +1070,6 @@ jinja2==3.1.6 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # fastapi # memray - # outlines # torch jiter==0.10.0 \ --hash=sha256:023aa0204126fe5b87ccbcd75c8a0d0261b9abdbbf46d55e7ae9f8e22424eeb8 \ @@ -1127,8 +1166,6 @@ jsonschema==4.23.0 \ # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1141,7 +1178,6 @@ lark==1.2.2 \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ @@ -1318,9 +1354,9 @@ meson==1.8.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -1525,12 +1561,6 @@ multidict==6.0.5 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # aiohttp # yarl -nest-asyncio==1.5.8 \ - --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ - --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via @@ -1632,10 +1662,11 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision @@ -1718,9 +1749,9 @@ nvidia-nvtx-cu12==12.8.55 ; platform_machine == 'x86_64' and sys_platform == 'li # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # torch -openai==1.86.0 \ - --hash=sha256:c64d5b788359a8fdf69bd605ae804ce41c1ce2e78b8dd93e2542e0ee267f1e4b \ - --hash=sha256:c8889c39410621fe955c230cc4c21bfe36ec887f4e60a957de05f507d7e1f349 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -1782,41 +1813,51 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -2351,8 +2392,8 @@ pycountry==24.6.1 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt - # outlines -pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + # pydantic-extra-types +pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via @@ -2369,7 +2410,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -2476,6 +2517,12 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -2679,7 +2726,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -2789,7 +2835,6 @@ requests==2.32.3 \ # google-api-core # huggingface-hub # mistral-common - # outlines # ray # tiktoken # transformers @@ -3050,7 +3095,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3077,6 +3121,43 @@ sniffio==1.3.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # anyio # openai +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # mistral-common +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 @@ -3139,7 +3220,6 @@ tiktoken==0.9.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # mistral-common # vllm - # xgrammar tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ --hash=sha256:1039a3a5734944e09de1d48761ade94e00d0fa760c0e0551151d4dd851ba63e3 \ @@ -3160,63 +3240,62 @@ tokenizers==0.21.1 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # transformers # vllm -torch==2.7.0+cu128 \ - --hash=sha256:1704e5dd66c9221e4e8b6ae2d80cbf54e129571e643f5fa9ca78cc6d2096403a \ - --hash=sha256:2f155388b1200e08f3e901bb3487ff93ca6d63cde87c29b97bb6762a8f63b373 \ - --hash=sha256:3559e98be824c2b12ab807319cd61c6174d73a524c9961317de8e8a44133c5c5 \ - --hash=sha256:47c895bcab508769d129d717a4b916b10225ae3855723aeec8dff8efe5346207 \ - --hash=sha256:58c749f52ddc9098155c77d6c74153bb13d8978fd6e1063b5d7b41d4644f5af5 \ - --hash=sha256:633f35e8b1b1f640ef5f8a98dbd84f19b548222ce7ba8f017fe47ce6badc106a \ - --hash=sha256:6bba7dca5d9a729f1e8e9befb98055498e551efaf5ed034824c168b560afc1ac \ - --hash=sha256:78e13c26c38ae92d6841cf9ce760d7e9d52bca3e3183de371812e84274b054dc \ - --hash=sha256:7c0f08d1c44a02abad389373dddfce75904b969a410be2f4e5109483dd3dc0ce \ - --hash=sha256:8614a167d6a163273fb130f586802f3243479862b53ee2843941c10cc5761da6 \ - --hash=sha256:ac1849553ee673dfafb44c610c60cb60a2890f0e117f43599a526cf777eb8b8c \ - --hash=sha256:b1f0cdd0720ad60536deb5baa427b782fd920dd4fcf72e244d32974caafa3b9e \ - --hash=sha256:bf88f647d76d79da9556ca55df49e45aff1d66c12797886364343179dd09a36c \ - --hash=sha256:c4bbc0b4be60319ba1cefc90be9557b317f0b3c261eeceb96ca6e0343eec56bf \ - --hash=sha256:c52c4b869742f00b12cb34521d1381be6119fa46244791704b00cc4a3cb06850 \ - --hash=sha256:d2f69f909da5dc52113ec66a851d62079f3d52c83184cf64beebdf12ca2f705c \ - --hash=sha256:f446f97b20cb070747b103fb640df941b88cb68c8d3b01538287d05d56a7e874 \ - --hash=sha256:fa05ac6ebed4777de7a5eff398c1f17b697c02422516748ce66a8151873e5a0e +torch==2.7.1+cu128 \ + --hash=sha256:01d4745b4289d8a238c1741cae9920241fb1be199108c83002c661fc3e4d60da \ + --hash=sha256:0b64f7d0a6f2a739ed052ba959f7b67c677028c9566ce51997f9f90fe573ddaa \ + --hash=sha256:138c66dcd0ed2f07aafba3ed8b7958e2bed893694990e0b4b55b6b2b4a336aa6 \ + --hash=sha256:268e54db9f0bc2b7b9eb089852d3e592c2dea2facc3db494100c3d3b796549fa \ + --hash=sha256:2bb8c05d48ba815b316879a18195d53a6472a03e297d971e916753f8e1053d30 \ + --hash=sha256:3a0954c54fd7cb9f45beab1272dece2a05b0e77023c1da33ba32a7919661260f \ + --hash=sha256:500ad5b670483f62d4052e41948a3fb19e8c8de65b99f8d418d879cbb15a82d6 \ + --hash=sha256:5174f02de8ca14df87c8e333c4c39cf3ce93a323c9d470d690301d110a053b3c \ + --hash=sha256:738ac9b3ad79e62a21256e3d250cee858de955f93f89fab114da8d1919347d06 \ + --hash=sha256:9560425f9ea1af1791507e8ca70d5b9ecf62fed7ca226a95fcd58d0eb2cca78f \ + --hash=sha256:9eadb0a49ae383b2d20e059b8614485cf216f3ebd13c4f401daa917e9979254b \ + --hash=sha256:aca3472608e3c92df5166537595687b53a6c997082478b372427b043dbed98d0 \ + --hash=sha256:c301dc280458afd95450af794924c98fe07522dd148ff384739b810e3e3179f2 \ + --hash=sha256:c355db49c218ada70321d5c5c9bb3077312738b99113c8f3723ef596b554a7b9 \ + --hash=sha256:d56d29a6ad7758ba5173cc2b0c51c93e126e2b0a918e874101dc66545283967f \ + --hash=sha256:d6c3cba198dc93f93422a8545f48a6697890366e4b9701f54351fc27e2304bd3 \ + --hash=sha256:e27e5f7e74179fb5d814a0412e5026e4b50c9e0081e9050bc4c28c992a276eb1 \ + --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0+cu128 \ - --hash=sha256:03d141a4701aff80c835b7ffce3a189e741acaa098b694f28c30bf5856cf5734 \ - --hash=sha256:0e9a4a2c4f543cefefa01dd40f49c4c4406fbded0a7295a9915827678345790f \ - --hash=sha256:1bf478e24e94aa49b682e6b6ab481998cb542d06f77daa9aafc92cedd6a21127 \ - --hash=sha256:315eca8babdaa7b87ccc9b5488d7e9abf7b0fc02255dd14d40c05bc76fdc263c \ - --hash=sha256:4b2308d19b7a1d4e33c4dc2e97452742b6820b83bda6da2564383725107e182a \ - --hash=sha256:4e07c40cc145e864ba2399fdfb6eedefc682f64624f2b8d8bf56703c3101005c \ - --hash=sha256:941f59c037390e288bce798f9ce53dc17b894f707f7f46b50ba3aa1c3144d283 \ - --hash=sha256:a624d626c9535b2f950a763c4d3032613f751a6c6e02a653d983a551d5f82261 \ - --hash=sha256:d62b6e9b792ad37af6d1289ba283e1029e71b4ff9cd3c6cf7f0e7776f23254b2 \ - --hash=sha256:f6c6c2c3a74225225b5d823db7e3910b581b3bb5fac891c0e7bf3549fb5d55b6 \ - --hash=sha256:f96c2be8aff6c827e76fd3a85e69a54ba5b9a37090853ed886f056ddfbca09a4 \ - --hash=sha256:fc2627c5e9a362300692f34f7d587088b2bd19e8e6158640b8266532f53051b9 +torchaudio==2.7.1+cu128 \ + --hash=sha256:0c144d5ffb4eec86c79ff1136abd91bd3f837f3042713795e10758aedc42dce8 \ + --hash=sha256:0c1d407f934d44f87935b139991d8872f81f88f8a6be9b7bd25918bf744e2be6 \ + --hash=sha256:170ca262fad47188ce35010fd34d5b3661c46a2c053383fd72ef653f713329ce \ + --hash=sha256:2ba0816eee659e343851a9c5dc60c8e1eb819a3969b29268fab27d3143273d78 \ + --hash=sha256:37a42de8c0f601dc0bc7dcccc4049644ef5adcf45920dd5813c339121e5b5a8c \ + --hash=sha256:456f3f3db40aa3dcdd1e19a4367a62452c30b46ede3a5ddfd316a034e383d63c \ + --hash=sha256:4586e3106701b06a4f9377f5c1da9e1d8555e16bd58fd7d810aa3f6cf50bd713 \ + --hash=sha256:7e97ea8a5d5e56108d1c071416613bc61a0e3531c2e6ba6a9b646232d6e41088 \ + --hash=sha256:84ec727f1fdafdf85dd1c018a6d3bfabeb5665b10e0b5f273a675eb730f59ce5 \ + --hash=sha256:84fb5c546faced5e835ff8edde419fa407513f7ff21cc05e2b4a8978463b16b7 \ + --hash=sha256:b1e56a999a06a5deaebfb991dc676aaa60d98139907d99badbc6dca6456637ee \ + --hash=sha256:cb435329019d441d8177db2d84e8d397881896d100efb4f4c15f0d3732f92a81 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -torchvision==0.22.0+cu128 \ - --hash=sha256:03b454b867f7a0aa9861a463042141448c4f15bec784def19eed39a57fac217b \ - --hash=sha256:06c101f40e1ff94869be14487c91fd5352e376f202fdeafb8f53c58cee2fbeb5 \ - --hash=sha256:17d50ffb1df6320da16b85395f1078bf369250ea144f3bb405088aca3d5f030f \ - --hash=sha256:209c29d78cf2003cf4e22c9b651790f57171334998ee3125594d130526aeaa50 \ - --hash=sha256:59df5a550113a80ce523047066eaaedb168c69482da88c3ab246716ab45ba092 \ - --hash=sha256:90a0dacad36b1ea8de912af8583cbe780b4a1bdf9cb85870fe548fdec212ab31 \ - --hash=sha256:a87393c86649b7e56b4bf859fe95922ee6ec1c1f3b430246fb1a5b51f8aee37a \ - --hash=sha256:c92a353ff82db3312644b5b26d410b586b72969b535948d584c247569f75605c \ - --hash=sha256:cdd90b768b01b0d638cb06a6c211b550b275c0c207b5210b7cbb5cea8dde11db \ - --hash=sha256:ee4fa6d4052d9ae25c1233289947fbfa4b88d23710254ab1772b108c1fc5fb4d \ - --hash=sha256:f3ac527d58b4c2043eb8d9e29fc56cd1751f36f2aaa6dc75e34ec54c951bcb9c \ - --hash=sha256:f5dae1307c34813425c0b753530c035e1cc72af0bded395d1ba64dcb2872889f +torchvision==0.22.1+cu128 \ + --hash=sha256:02faf51fbf5070592768fa935327d13a484b745faef38b0fee01d85cfb35f5bc \ + --hash=sha256:51f25bc1d28b037d98a1415c917441726244d8a00971907e6dfb00eccc31365f \ + --hash=sha256:538f4db667286d939b4eee0a66d31ed21b51186668006b0e0ffe20338ecc7e00 \ + --hash=sha256:650561ba326d21021243f5e064133dc62dc64d52f79623db5cd76637a9665f96 \ + --hash=sha256:85ecd729c947151eccea502853be6efc2c0029dc26e6e5148e04684aed008390 \ + --hash=sha256:92568ac46b13a8c88b61589800b1b9c4629be091ea7ce080fc6fc622e11e0915 \ + --hash=sha256:ad48ba3c3ffd48027e3a8de42fcea131a53a524ee9416ca4efb22f9ac6b7328d \ + --hash=sha256:bc4fef193917b51db6b409acd3ffdec9286d877baac0aee5dcfbb72592d00bfc \ + --hash=sha256:d44d8bc41162167aa7b9eba0587362d007e84b7ecab5774972ad78eb4d30c004 \ + --hash=sha256:e5320bb2c9f69636f3dc18abc3291fe8c8e448cb9ef0112510a5413a5af3f8f2 \ + --hash=sha256:eb784cc75a66f3336a04ff3a992bf74160842132db69e8bdbb58b5ab9422c345 \ + --hash=sha256:f64ef9bb91d71ab35d8384912a19f7419e35928685bc67544d58f45148334373 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm @@ -3228,19 +3307,18 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm -transformers==4.52.4 \ - --hash=sha256:203f5c19416d5877e36e88633943761719538a25d9775977a24fe77a1e5adfc7 \ - --hash=sha256:aff3764441c1adc192a08dba49740d3cbbcb72d850586075aed6bd89b98203e6 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # compressed-tensors # vllm # xgrammar -triton==3.3.0 ; sys_platform == 'linux' \ - --hash=sha256:8cf975f47838c495a6a1a71007abad31b56312924a97d78874412de3232a7993 +triton==3.3.1 ; sys_platform == 'linux' \ + --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # torch @@ -3265,9 +3343,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -3334,9 +3412,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt @@ -3441,36 +3519,36 @@ websockets==15.0.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # uvicorn -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:bc0fdaaef53434566449340fc758342724d13d52cfa3a77f587535687e9d600c +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm -xgrammar==0.1.19 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 2fb3fc8c9ee9..db67f7b5af3a 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -129,10 +129,6 @@ aiosqlite==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # ypy-websocket -airportsdata==20241001 \ - --hash=sha256:67d71cf2c5378cc17ff66b62b1e11aa2444043949c894543ac8fd8dafce192fd \ - --hash=sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00 - # via outlines alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 @@ -374,6 +370,52 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -440,6 +482,7 @@ cffi==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # argon2-cffi-bindings # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -550,7 +593,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # gymnasium - # outlines # vllm colorama==0.4.6 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ @@ -673,9 +715,9 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # nbconvert -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via vllm dill==0.3.9 \ --hash=sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a \ @@ -684,7 +726,7 @@ dill==0.3.9 \ diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 - # via outlines + # via vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -1222,15 +1264,15 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.2 \ - --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ - --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ - --hash=sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c \ - --hash=sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3 \ - --hash=sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec \ - --hash=sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173 \ - --hash=sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3 \ - --hash=sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469 +hf-xet==1.1.5 \ + --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ + --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ + --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ + --hash=sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8 \ + --hash=sha256:ab34c4c3104133c495785d5d8bba3b1efc99de52c02e759cf711a91fd39d3a14 \ + --hash=sha256:dbba1660e5d810bd0ea77c511a99e9242d920790d0e63c0e4673ed36c4022d18 \ + --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ + --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via huggingface-hub httpcore==1.0.9 \ --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ @@ -1294,9 +1336,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # tokenizers # transformers @@ -1343,10 +1385,7 @@ iniconfig==2.0.0 \ interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 - # via - # lm-format-enforcer - # outlines - # outlines-core + # via lm-format-enforcer ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 @@ -1406,7 +1445,6 @@ jinja2==3.1.6 \ # nbclassic # nbconvert # notebook - # outlines # sphinx # torch jiter==0.8.2 \ @@ -1529,8 +1567,6 @@ jsonschema==4.23.0 \ # jupyterlab-server # mistral-common # nbformat - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1627,9 +1663,7 @@ jupytext==1.16.7 \ lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 - # via - # outlines - # vllm + # via vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1949,9 +1983,9 @@ meson==1.8.0 \ --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2212,7 +2246,6 @@ nest-asyncio==1.5.8 \ # nbclassic # nbclient # notebook - # outlines networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 @@ -2324,10 +2357,11 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision @@ -2344,9 +2378,9 @@ oauth2client==4.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt -openai==1.63.2 \ - --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ - --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -2405,37 +2439,49 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -3037,7 +3083,7 @@ pybind11==2.13.6 \ pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f - # via outlines + # via pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 @@ -3095,7 +3141,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -3202,6 +3248,10 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -3456,7 +3506,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -3570,7 +3619,6 @@ requests==2.32.3 \ # jupyterlab-server # mistral-common # msal - # outlines # ray # smart-open # sphinx @@ -3860,7 +3908,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3906,12 +3953,45 @@ snowballstemmer==2.2.0 \ --hash=sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1 \ --hash=sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a # via sphinx +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via mistral-common soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # beautifulsoup4 +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via mistral-common sphinx==6.2.1 \ --hash=sha256:6d56a34697bb749ffa0152feafc4b19836c755d90a7c59b72bc7dfd371b9cc6b \ --hash=sha256:97787ff1fa3256a3eef9eda523a63dbf299f7b47e053cfcf684a1c2a8380c912 @@ -4031,7 +4111,6 @@ tiktoken==0.9.0 \ # via # mistral-common # vllm - # xgrammar tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 @@ -4057,61 +4136,60 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.0+cpu \ - --hash=sha256:1bc9e6a4e2463582ae020d76ea0753ed9c84526e235089414d25c2c6d16ae866 \ - --hash=sha256:1d7a6f33868276770a657beec7f77c7726b4da9d0739eff1b3ae64cc9a09d8e3 \ - --hash=sha256:2386859dee6191a2571ce15c65c3e18008d4e6f17d5256d49b4660e5464dcae8 \ - --hash=sha256:3b09aa2c8d30fa567a8d13270fbf9af7ee472fdfafbc7dfdc87c607bf46001f7 \ - --hash=sha256:58f7cd297f27b2b708b0dc03cc4e5be327ffd5f4f37204068c18e1bd55cd73d8 \ - --hash=sha256:64123c05615e27368c7a7816f6e39c6d219998693beabde0b0b9cedf91b5ed8b \ - --hash=sha256:69e25c973bdd7ea24b0fa9f9792114950afaeb8f819e5723819b923f50989175 \ - --hash=sha256:6b7edcbf8bb0b9ac2e6c001434797c5ec3f25394f91eb0ed7aeeeeed9ad4500f \ - --hash=sha256:7b31fa6b1d026542b4ed8ce7ec7ee5489413cd9bd6479c14c5ad559c15d92e3b \ - --hash=sha256:7d0a4106bc0fe339295f509900ce46228f45b9ad8646662fe50c7d9e5960c3c1 \ - --hash=sha256:99ca8f4cb53484c45bb668657069c17139c07367ea20ddef2c0ce8412f42da2f \ - --hash=sha256:a05f25ef1ebdf2af323141648787e7bea51bd8db90e1adebc14a85d8ba20d16a \ - --hash=sha256:a845b6f3bda3c40f736847dede95d8bfec81fb7e11458cd25973ba13542cf1f6 \ - --hash=sha256:addf9107939522ffb3b60d2900fee838a77dbe098e2643e01164f46f8612f9c0 \ - --hash=sha256:b42cfe122faed26c6ffee1c97d64e6a1f72a081b64d457a2c97244c1497f4adc \ - --hash=sha256:c98c4f48f42a2237e079f3de48e8549de2c8cf68cdcf2041564c7794bbce0b59 \ - --hash=sha256:ce510375ed79223db3ec144fe14cbcffc8a361ac57f39674397ff2d8db3b2c21 \ - --hash=sha256:e32f385dc0b5007ca410035c3b91ef4b1b34b142e9bcdb31d3f0224b7748e992 \ - --hash=sha256:f874c1ba4c834db5848eaafd6e63dfce87fb44bb2d9234978c3ad47b5b0f37dd +torch==2.7.1+cpu \ + --hash=sha256:0bc887068772233f532b51a3e8c8cfc682ae62bef74bf4e0c53526c8b9e4138f \ + --hash=sha256:1f04a373a3f643821f721da9898ef77dce73b5b6bfc64486f0976f7fb5f90e83 \ + --hash=sha256:355614185a2aea7155f9c88a20bfd49de5f3063866f3cf9b2f21b6e9e59e31e0 \ + --hash=sha256:3bf2db5adf77b433844f080887ade049c4705ddf9fe1a32023ff84ff735aa5ad \ + --hash=sha256:464bca1bc9452f2ccd676514688896e66b9488f2a0268ecd3ac497cf09c5aac1 \ + --hash=sha256:56136a2aca6707df3c8811e46ea2d379eaafd18e656e2fd51e8e4d0ca995651b \ + --hash=sha256:5fe6045b8f426bf2d0426e4fe009f1667a954ec2aeb82f1bd0bf60c6d7a85445 \ + --hash=sha256:7b977eccbc85ae2bd19d6998de7b1f1f4bd3c04eaffd3015deb7934389783399 \ + --hash=sha256:84ea1f6a1d15663037d01b121d6e33bb9da3c90af8e069e5072c30f413455a57 \ + --hash=sha256:8f8b3cfc53010a4b4a3c7ecb88c212e9decc4f5eeb6af75c3c803937d2d60947 \ + --hash=sha256:a1684793e352f03fa14f78857e55d65de4ada8405ded1da2bf4f452179c4b779 \ + --hash=sha256:a2618775f32eb4126c5b2050686da52001a08cffa331637d9cf51c8250931e00 \ + --hash=sha256:a4551cb97b83df5f93fc0d7538332535828581e1db2f179afc287027afbdd6e8 \ + --hash=sha256:b4cc706973655151f198d027ed34c92ab31a3db55676b44251194e1280631426 \ + --hash=sha256:b66f77f6f67317344ee083aa7ac4751a14395fcb38060d564bf513978d267153 \ + --hash=sha256:c0df17cee97653d09a4e84488a33d21217f9b24208583c55cf28f0045aab0766 \ + --hash=sha256:d205cac087d60bc176bdc0b63a1d00dc7a4ee5ac76fd20a2ca318ac65674167e \ + --hash=sha256:d25435bdc4780d3cb512aad55142aca9584ae1fe8f8691cda6d32f19faf5d58e \ + --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef # via # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0+cpu \ - --hash=sha256:37bad00f69405692f4bcf46a93762d67c961ff9dbdace24a0948b4c31512993d \ - --hash=sha256:586d1a23f10d45ab5fb15483fdccaa987e3103f4f611173b35c1eb3e5776fa92 \ - --hash=sha256:6488fed9095a4f78ed8f71d7cbc94e7949c777eec412b4e0acd5e40a3e163505 \ - --hash=sha256:7df4a8f2762af73e89f31f9b2de8b07d08ab20a701f5a604c6c1dd23a777b23a \ - --hash=sha256:806d9b6b413568db5176297adbabae2ced413c0b5eec78122e0de84ea066475e \ - --hash=sha256:a551be6cdda863594b5f404e9552404ec910b8a2c820b6a002c6a80fa8d1ae59 \ - --hash=sha256:a807a6dabb9fe2d69c9cf49671dafdca5b180e62f8e941ce768f962421cdc1db \ - --hash=sha256:b9cb87cea7fca9ad3886a637282cf7eec3aeed632d26998f6f58c950494a4324 \ - --hash=sha256:c8164c0169310b8fbb2cd8b3669f2d44cff9a767ee05cdf499ef9bdfbc5cdc61 \ - --hash=sha256:cb961386bf0b1b2fc94afb933e0d2dc553d281ac275d84d4f082758fd03249ab \ - --hash=sha256:d100459bcb2fe1273f5deb4faf1f23411b3e0d096aa947a5230f8cad8d4a2e7e \ - --hash=sha256:f95c2810e7cfa9ebcd32fd61cdcc950bc6ec5560454dcb56b1461fd51eaa043e +torchaudio==2.7.1+cpu \ + --hash=sha256:2746064c15032e674d1bf6c6e1686f7a43184a8f065ee1f1bdb81c782e82537c \ + --hash=sha256:2ec85e79386c3e68ae67ac74033118253f0c7a64a8343a58b2df802e42ca9f74 \ + --hash=sha256:5856ce75fb0cfb2a0d8be4e3f9def122414f009aad4347161ad80f5b8f708fa4 \ + --hash=sha256:65bf843345ae05629b7f71609bab0808004dabfce6cf48ea508a5d4f5419ca74 \ + --hash=sha256:6d4855a0d40d700b6a20b5d2691cfc9ea2296419e3ab0442ee2a1e8d0b73242a \ + --hash=sha256:79b75d9f8dadad5da128fd6677fe717669ce580c0d54c8407792854ac8b97349 \ + --hash=sha256:a36569e17ff4519a21f2113e9a19a8def0d70e2fd9fabc9105ca57dee3809443 \ + --hash=sha256:a71ef774991658188721f53ebf05c8858b2baf0abb17b65bf447b294f3e63e2e \ + --hash=sha256:c6b82f209797d0b6e46c33a76facb39987141c453f85d9d0fa849363d47c2f42 \ + --hash=sha256:d7bd84b934f365e537e519838e9a5e7e6aef0d94e3d1419e8734f58b1142f326 \ + --hash=sha256:deb19d2a1cbbe49f9d14a9fe3dce65fef8dd98570aa8b6a65d7f5d1e0d16d0f3 \ + --hash=sha256:e169a2b62e55342f2f30e17640054707c8e339045a1ccc2db33517e9debb2767 # via vllm -torchvision==0.22.0+cpu \ - --hash=sha256:0172e52a8df7779632e5f7e7842e4de1e787e2a8f790b0bf4547ef1d025f16fd \ - --hash=sha256:5878553b984d5903f4428a0de4d9e07a8d8d6c46a1a1072da6b2064c6e673a74 \ - --hash=sha256:619f1a227797622aaffc781d694e66e682ab522fc6de75ac3551641326675cfa \ - --hash=sha256:670082705cfb51a35ae35090b5a0e66ec09e6d9c3845e16417399adec7a17ff2 \ - --hash=sha256:717d02d998384278ab020a5967025453f209d18d8f524fc7dd9c76e892ae599a \ - --hash=sha256:73b8bc94023e24d8fce8ece2175d4e588e704b83cc43dd2a185a0a1dc92b8d9a \ - --hash=sha256:b1070b55bed045e0f41afe8d6617fc1b6d47088aa3b3430d87f8fcac48f43386 \ - --hash=sha256:b180a2c568665b8ffa442ff3d7dfdba0eaf99c0ea22e987f6c47ade3cc13eadf \ - --hash=sha256:d140054f605f0567ff4619d3b31811a0cf2fd2198a536583550d3f5d40ba6b3b \ - --hash=sha256:e65592541fd4ceb3609acf6da16b56c3cd9d93ef3a56cf8240236416c08f31dd \ - --hash=sha256:e74be2e4efe2253cd145a80a7c21defe2e48125a114445f06bf02640f6579109 \ - --hash=sha256:effb34eabe87ae0d811fe2d6e3433ed1eee2d1850ff0670964d1475a06512c73 +torchvision==0.22.1+cpu \ + --hash=sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8 \ + --hash=sha256:433cb4dbced7291f17064cea08ac1e5aebd02ec190e1c207d117ad62a8961f2b \ + --hash=sha256:445e442b94c365f7fd96596347c8a5a7fcfcbfca17a23baa8c9dcc8cb00fceee \ + --hash=sha256:4e0cbc165a472605d0c13da68ae22e84b17a6b815d5e600834777823e1bcb658 \ + --hash=sha256:9482adee074f60a45fd69892f7488281aadfda7836948c94b0a9b0caf55d1d67 \ + --hash=sha256:99788dd0d97ac8cdf25c74481e869e298626ffd8d6532defff6711f60516c88a \ + --hash=sha256:a93c21f18c33a819616b3dda7655aa4de40b219682c654175b6bbeb65ecc2e5f \ + --hash=sha256:ab7ae82529887c704c1b5d1d5198f65dc777d04fc3858b374503a6deedb82b19 \ + --hash=sha256:b2d1c4bdbfd8e6c779dc810a6171b56224f1332fc46986810d4081bed1633804 \ + --hash=sha256:b5fa7044bd82c6358e8229351c98070cf3a7bf4a6e89ea46352ae6c65745ef94 \ + --hash=sha256:c852e61bc903351169017e2e96389f28f6cfb52ca7c3945acceb31e7fe1b21e6 \ + --hash=sha256:e31f1273a8dd9760906288036ac3c8f5fef25eed393da0491db150d7be78910d # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4173,7 +4251,6 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm traitlets==5.14.3 \ @@ -4195,9 +4272,9 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.51.3 \ - --hash=sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409 \ - --hash=sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # compressed-tensors # vllm @@ -4246,9 +4323,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -4327,9 +4404,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4539,42 +4616,36 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ - --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ - --hash=sha256:60396dff69a04071249809885962b7365afe650a7910f094d67b045b47a60388 \ - --hash=sha256:7b2e2aa615bce02ac20d58232b0e17304c62ec533ac0db2040a948df0155858d \ - --hash=sha256:8549ca30700d70dae904ec4407c6188cd73fd551e585f862c1d3aca3b7bc371c \ - --hash=sha256:9ce1634798cb96643f077acbced80f985e3cdab12cf468851057ed31cab0bdab \ - --hash=sha256:9e54eed6080e65455213174ad6b26c5e361715ca2d52759fde26055188802d92 \ - --hash=sha256:a12bf3eb39e294cdbe8a7253ac9b665f41bac61d6d98df174e34ef7bdb6f2fc4 \ - --hash=sha256:f9c9476fb7bd5d60c396ce096e36ae3e7c3461101da7a228ab1d2b7e64fb2318 +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ + --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ + --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via vllm -xgrammar==0.1.19 \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -r python/requirements/llm/llm-test-requirements.txt # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index dd99ea0fcaa9..da28ec6dca10 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -129,10 +129,6 @@ aiosqlite==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # ypy-websocket -airportsdata==20241001 \ - --hash=sha256:67d71cf2c5378cc17ff66b62b1e11aa2444043949c894543ac8fd8dafce192fd \ - --hash=sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00 - # via outlines alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 @@ -374,6 +370,52 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -440,6 +482,7 @@ cffi==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # argon2-cffi-bindings # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -550,7 +593,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # gymnasium - # outlines # vllm colorama==0.4.6 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ @@ -673,9 +715,9 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # nbconvert -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via vllm dill==0.3.9 \ --hash=sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a \ @@ -684,7 +726,7 @@ dill==0.3.9 \ diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 - # via outlines + # via vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -1222,15 +1264,15 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.2 \ - --hash=sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a \ - --hash=sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d \ - --hash=sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c \ - --hash=sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3 \ - --hash=sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec \ - --hash=sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173 \ - --hash=sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3 \ - --hash=sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469 +hf-xet==1.1.5 \ + --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ + --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ + --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ + --hash=sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8 \ + --hash=sha256:ab34c4c3104133c495785d5d8bba3b1efc99de52c02e759cf711a91fd39d3a14 \ + --hash=sha256:dbba1660e5d810bd0ea77c511a99e9242d920790d0e63c0e4673ed36c4022d18 \ + --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ + --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via huggingface-hub httpcore==1.0.9 \ --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ @@ -1294,9 +1336,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # tokenizers # transformers @@ -1343,10 +1385,7 @@ iniconfig==2.0.0 \ interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 - # via - # lm-format-enforcer - # outlines - # outlines-core + # via lm-format-enforcer ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 @@ -1406,7 +1445,6 @@ jinja2==3.1.6 \ # nbclassic # nbconvert # notebook - # outlines # sphinx # torch jiter==0.8.2 \ @@ -1529,8 +1567,6 @@ jsonschema==4.23.0 \ # jupyterlab-server # mistral-common # nbformat - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1627,9 +1663,7 @@ jupytext==1.16.7 \ lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 - # via - # outlines - # vllm + # via vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1949,9 +1983,9 @@ meson==1.8.0 \ --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2212,7 +2246,6 @@ nest-asyncio==1.5.8 \ # nbclassic # nbclient # notebook - # outlines networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 @@ -2324,10 +2357,11 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision @@ -2435,9 +2469,9 @@ oauth2client==4.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt -openai==1.63.2 \ - --hash=sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4 \ - --hash=sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -2496,37 +2530,49 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -3128,7 +3174,7 @@ pybind11==2.13.6 \ pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f - # via outlines + # via pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 @@ -3186,7 +3232,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -3293,6 +3339,10 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -3547,7 +3597,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -3661,7 +3710,6 @@ requests==2.32.3 \ # jupyterlab-server # mistral-common # msal - # outlines # ray # smart-open # sphinx @@ -3951,7 +3999,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3997,12 +4044,45 @@ snowballstemmer==2.2.0 \ --hash=sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1 \ --hash=sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a # via sphinx +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via mistral-common soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # beautifulsoup4 +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via mistral-common sphinx==6.2.1 \ --hash=sha256:6d56a34697bb749ffa0152feafc4b19836c755d90a7c59b72bc7dfd371b9cc6b \ --hash=sha256:97787ff1fa3256a3eef9eda523a63dbf299f7b47e053cfcf684a1c2a8380c912 @@ -4122,7 +4202,6 @@ tiktoken==0.9.0 \ # via # mistral-common # vllm - # xgrammar tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 @@ -4148,90 +4227,89 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.0 \ - --hash=sha256:0a8d43caa342b9986101ec5feb5bbf1d86570b5caa01e9cb426378311258fdde \ - --hash=sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183 \ - --hash=sha256:15aab3e31c16feb12ae0a88dba3434a458874636f360c567caa6a91f6bfba481 \ - --hash=sha256:176300ff5bc11a5f5b0784e40bde9e10a35c4ae9609beed96b4aeb46a27f5fae \ - --hash=sha256:27f5007bdf45f7bb7af7f11d1828d5c2487e030690afb3d89a651fd7036a390e \ - --hash=sha256:2a885fc25afefb6e6eb18a7d1e8bfa01cc153e92271d980a49243b250d5ab6d9 \ - --hash=sha256:2ad79d0d8c2a20a37c5df6052ec67c2078a2c4e9a96dd3a8b55daaff6d28ea29 \ - --hash=sha256:2b7813e904757b125faf1a9a3154e1d50381d539ced34da1992f52440567c156 \ - --hash=sha256:30b7688a87239a7de83f269333651d8e582afffce6f591fff08c046f7787296e \ - --hash=sha256:34e0168ed6de99121612d72224e59b2a58a83dae64999990eada7260c5dd582d \ - --hash=sha256:36a6368c7ace41ad1c0f69f18056020b6a5ca47bedaca9a2f3b578f5a104c26c \ - --hash=sha256:434cf3b378340efc87c758f250e884f34460624c0523fe5c9b518d205c91dd1b \ - --hash=sha256:58df8d5c2eeb81305760282b5069ea4442791a6bbf0c74d9069b7b3304ff8a37 \ - --hash=sha256:868ccdc11798535b5727509480cd1d86d74220cfdc42842c4617338c1109a205 \ - --hash=sha256:87b0802cab44659fcb6bcf5678d58fa4a8b48561cde8fb2d317edf0b6990e1bb \ - --hash=sha256:9b52347118116cf3dff2ab5a3c3dd97c719eb924ac658ca2a7335652076df708 \ - --hash=sha256:c9afea41b11e1a1ab1b258a5c31afbd646d6319042bfe4f231b408034b51128b \ - --hash=sha256:ccd7509141713997861b7a947ef0a717143cd7e9240addd168f38ba8fd23fd56 \ - --hash=sha256:d0ca446a93f474985d81dc866fcc8dccefb9460a29a456f79d99c29a78a66993 \ - --hash=sha256:e362efaa5b3078e5f75c33efc05005b9b46de0d2e899519d5b4cad0e050ed0f7 \ - --hash=sha256:edad98dddd82220465b106506bb91ee5ce32bd075cddbcf2b443dfaa2cbd83bf \ - --hash=sha256:f56d4b2510934e072bab3ab8987e00e60e1262fb238176168f5e0c43a1320c6d \ - --hash=sha256:fc1ed9258cbfce69970ff508ea60881818d414d098a800b7695ba36f570d34b0 \ - --hash=sha256:fd5cfbb4c3bbadd57ad1b27d56a28008f8d8753733411a140fcfb84d7f933a25 +torch==2.7.1 \ + --hash=sha256:03563603d931e70722dce0e11999d53aa80a375a3d78e6b39b9f6805ea0a8d28 \ + --hash=sha256:06eea61f859436622e78dd0cdd51dbc8f8c6d76917a9cf0555a333f9eac31ec1 \ + --hash=sha256:0da4f4dba9f65d0d203794e619fe7ca3247a55ffdcbd17ae8fb83c8b2dc9b585 \ + --hash=sha256:23660443e13995ee93e3d844786701ea4ca69f337027b05182f5ba053ce43b38 \ + --hash=sha256:236f501f2e383f1cb861337bdf057712182f910f10aeaf509065d54d339e49b2 \ + --hash=sha256:27ea1e518df4c9de73af7e8a720770f3628e7f667280bce2be7a16292697e3fa \ + --hash=sha256:30207f672328a42df4f2174b8f426f354b2baa0b7cca3a0adb3d6ab5daf00dc8 \ + --hash=sha256:787687087412c4bd68d315e39bc1223f08aae1d16a9e9771d95eabbb04ae98fb \ + --hash=sha256:79042feca1c634aaf6603fe6feea8c6b30dfa140a6bbc0b973e2260c7e79a22e \ + --hash=sha256:8273145a2e0a3c6f9fd2ac36762d6ee89c26d430e612b95a99885df083b04e52 \ + --hash=sha256:8394833c44484547ed4a47162318337b88c97acdb3273d85ea06e03ffff44998 \ + --hash=sha256:885453d6fba67d9991132143bf7fa06b79b24352f4506fd4d10b309f53454162 \ + --hash=sha256:988b0cbc4333618a1056d2ebad9eb10089637b659eb645434d0809d8d937b946 \ + --hash=sha256:a103b5d782af5bd119b81dbcc7ffc6fa09904c423ff8db397a1e6ea8fd71508f \ + --hash=sha256:a737b5edd1c44a5c1ece2e9f3d00df9d1b3fb9541138bee56d83d38293fb6c9d \ + --hash=sha256:aea4fc1bf433d12843eb2c6b2204861f43d8364597697074c8d38ae2507f8730 \ + --hash=sha256:c33360cfc2edd976c2633b3b66c769bdcbbf0e0b6550606d188431c81e7dd1fc \ + --hash=sha256:d632f5417b6980f61404a125b999ca6ebd0b8b4bbdbb5fbbba44374ab619a412 \ + --hash=sha256:d72acfdb86cee2a32c0ce0101606f3758f0d8bb5f8f31e7920dc2809e963aa7c \ + --hash=sha256:d8bf6e1856ddd1807e79dc57e54d3335f2b62e6f316ed13ed3ecfe1fc1df3d8b \ + --hash=sha256:df41989d9300e6e3c19ec9f56f856187a6ef060c3662fe54f4b6baf1fc90bd19 \ + --hash=sha256:e08d7e6f21a617fe38eeb46dd2213ded43f27c072e9165dc27300c9ef9570934 \ + --hash=sha256:e0d81e9a12764b6f3879a866607c8ae93113cbcad57ce01ebde63eb48a576369 \ + --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d # via # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0 \ - --hash=sha256:0d421aa225b93564c98d3ba16f1960dee2edc8b4e375f62519fb51e2c489c123 \ - --hash=sha256:0e8a4b05f159ffba8107989cdef28aab2696307f3c7f78bb9d2e0af73eec980a \ - --hash=sha256:150fbde41da60296effed772b7a170f563cd44967555abb0603fc573f39ce245 \ - --hash=sha256:1c4a646c9e9347836c09e965eebc58dd028ec6ef34c46d3e7891bffd8dc645ea \ - --hash=sha256:1d928aeff495a0807b4da3b0dd46e15eae8070da5e7ed6d35c1dcfd9fdfe2b74 \ - --hash=sha256:275931c8a38ff84b5692df990506b41f18d0a0706574d96bc8456ad9e5fa85c8 \ - --hash=sha256:30675a5f99551e036974a7476729eb5d31f453cf792ae6e0a0d449960f84f464 \ - --hash=sha256:33004ed47f18f00044c97ee8cd9e3f5e1c2e26ef23d4f72b5f1ae33e6182587b \ - --hash=sha256:36b94819f5406b2599ac31542e2e7a7aaf4a5b5f466ce034f296b1ee1134c945 \ - --hash=sha256:65b4fc9b7f28367f918b02ae4db4290457bc4fdd160f22b7d684e93ab8dcb956 \ - --hash=sha256:677bd32031310ee73a47d6eebc2e74e74c1cf467932945ee88082a3935b5c950 \ - --hash=sha256:725dbbcc9e744ca62de8856262c6f472ca26b1cd5db062b062a2d6b66a336cc0 \ - --hash=sha256:862d9c5cfe15688a7846962b5d3c9f959beffe82b1e5441935c7a37504c5c5e7 \ - --hash=sha256:9d921eeb036512a87efde007977b27bd326320cd7cd5f43195824173fe82e888 \ - --hash=sha256:9e08138cac75cde2064c8b5bbd12f27bdeb3d36f4b8c2285fc9c42eaa97c0676 \ - --hash=sha256:9e4073992f4f8e7113e4b505d95095361ceb2f21dd7b9310776160a24266f8f6 \ - --hash=sha256:a5443422640cbe532aaacd83ad2ee6911b0451f7f50e6b3755015e92df579d37 \ - --hash=sha256:a6f03494075bcdd62e7fade7baf50a0ef107aa809d02b5e1786391adced451a3 \ - --hash=sha256:bd360b8dcd69bbce340a6415307d085263436331bbb4d08450f49fa9e8ecd080 \ - --hash=sha256:c37b77dd528ad18a036466e856f53d8bd5912b757a775309354b4a977a069379 \ - --hash=sha256:ce8cfc07a4e59c835404583e7d3e171208b332b61bb92643f8723f6f192da8bf \ - --hash=sha256:e86821cc0a111a5c95a513965a26424e0785710e37342de86d3b5804a54984ed \ - --hash=sha256:ee4add33f24e9cb959bd9de89f36de5ebf844eda040d1d0b38f08617d67dedc3 \ - --hash=sha256:f7c99f7c062d6a56a3e281e3c2b779099e64cad1ce78891df61c4d19ce40742e +torchaudio==2.7.1 \ + --hash=sha256:0ae0678ad27355eebea5a9fdd9ae9bfec444f8405f9b6c60026905ba3665c43a \ + --hash=sha256:1850475ef9101ea0b3593fe93ff6ee4e7a20598f6da6510761220b9fe56eb7fa \ + --hash=sha256:18560955b8beb2a8d39a6bfae20a442337afcefb3dfd4ee007ce82233a796799 \ + --hash=sha256:1862b063d8d4e55cb4862bcbd63568545f549825a3c5605bd312224c3ebb1919 \ + --hash=sha256:271f717844e5c7f9e05c8328de817bf90f46d83281c791e94f54d4edea2f5817 \ + --hash=sha256:2ba4df6e3ad35cb1e5bd162cf86b492526138f6476f5a06b10725b8880c618eb \ + --hash=sha256:30e21f043f5cc50f703c2cf0de75633e2c720227f9bf848ffc9b8b987871b3fc \ + --hash=sha256:4739af57d0eb94347d1c6a1b5668be78a7383afe826dde18a04883b9f9f263b1 \ + --hash=sha256:53bc4ba12e7468be34a7ca2ee837ee5c8bd5755b25c12f665af9339cae37e265 \ + --hash=sha256:6bb1e6db22fa2aad6b89b2a455ec5c6dc31df2635dbfafa213394f8b07b09516 \ + --hash=sha256:9306dcfc4586cebd7647a93fe9a448e791c4f83934da616b9433b75597a1f978 \ + --hash=sha256:98257fc14dd493ba5a3258fb6d61d27cd64a48ee79537c3964c4da26b9bf295f \ + --hash=sha256:9cbcdaab77ad9a73711acffee58f4eebc8a0685289a938a3fa6f660af9489aee \ + --hash=sha256:9ce8aed225d5ce65705d30f6ef8e457d329fe6ea0b8729ad953ba99e87da264e \ + --hash=sha256:9cfb8f6ace8e01e2b89de74eb893ba5ce936b88b415383605b0a4d974009dec7 \ + --hash=sha256:a07100fe2cf7af4fa69d8cb046a2b74046612621a1a548afa5af1c69e02eaf81 \ + --hash=sha256:c089dbfc14c5f47091b7bf3f6bf2bbac93b86619299d04d9c102f4ad53758990 \ + --hash=sha256:c802e0dcbf38669007327bb52f065573cc5cac106eaca987f6e1a32e6282263a \ + --hash=sha256:d5a62f88c629035913f506df03f710c48fc8bb9637191933f27c67088d5ca136 \ + --hash=sha256:d66bd76b226fdd4135c97650e1b7eb63fb7659b4ed0e3a778898e41dbba21b61 \ + --hash=sha256:e5f0599a507f4683546878ed9667e1b32d7ca3c8a957e4c15c6b302378ef4dee \ + --hash=sha256:e8b2da11a7f7782b00b823c99e812eb00ee8b3455ad474f8fd42a0da0bc4f46a \ + --hash=sha256:edb4deaa6f95acd5522912ed643303d0b86d79a6f15914362f5a5d49baaf5d13 \ + --hash=sha256:f8bd69354a397753b9dea9699d9e1251f8496fbbdf3028c7086a57a615bf33c3 # via vllm -torchvision==0.22.0 \ - --hash=sha256:0dc9b97fea14e7a8d047d0d21d8bfde6afd655c41a9a86207c9d3a7605319fcd \ - --hash=sha256:191ea28321fc262d8aa1a7fe79c41ff2848864bf382f9f6ea45c41dde8313792 \ - --hash=sha256:24b8c9255c209ca419cc7174906da2791c8b557b75c23496663ec7d73b55bebf \ - --hash=sha256:2b839ac0610a38f56bef115ee5b9eaca5f9c2da3c3569a68cc62dbcc179c157f \ - --hash=sha256:2ef38a397f1b9cf62846fb20659cb99101f9d361de8c45d79284ee45c6f40d50 \ - --hash=sha256:31c3165418fe21c3d81fe3459e51077c2f948801b8933ed18169f54652796a0f \ - --hash=sha256:3548d594ed7d0b7bc59486d642e2dd437f37910e52ab67e5f01567f12ed767dc \ - --hash=sha256:4095fac2b2e49a9c30f701e09ec1bdf3d11b1e48b006a76a9015a2ed8b39556e \ - --hash=sha256:471c6dd75bb984c6ebe4f60322894a290bf3d4b195e769d80754f3689cd7f238 \ - --hash=sha256:4ada1c08b2f761443cd65b7c7b4aec9e2fc28f75b0d4e1b1ebc9d3953ebccc4d \ - --hash=sha256:6c5620e10ffe388eb6f4744962106ed7cf1508d26e6fdfa0c10522d3249aea24 \ - --hash=sha256:6fbca169c690fa2b9b8c39c0ad76d5b8992296d0d03df01e11df97ce12b4e0ac \ - --hash=sha256:72256f1d7ff510b16c9fb4dd488584d0693f40c792f286a9620674438a81ccca \ - --hash=sha256:753d3c84eeadd5979a33b3b73a25ecd0aa4af44d6b45ed2c70d44f5e0ac68312 \ - --hash=sha256:810ea4af3bc63cf39e834f91f4218ff5999271caaffe2456247df905002bd6c0 \ - --hash=sha256:8c869df2e8e00f7b1d80a34439e6d4609b50fe3141032f50b38341ec2b59404e \ - --hash=sha256:8f116bc82e0c076e70ba7776e611ed392b9666aa443662e687808b08993d26af \ - --hash=sha256:b30e3ed29e4a61f7499bca50f57d8ebd23dfc52b14608efa17a534a55ee59a03 \ - --hash=sha256:cdc96daa4658b47ce9384154c86ed1e70cba9d972a19f5de6e33f8f94a626790 \ - --hash=sha256:ce292701c77c64dd3935e3e31c722c3b8b176a75f76dc09b804342efc1db5494 \ - --hash=sha256:ce4dc334ebd508de2c534817c9388e928bc2500cf981906ae8d6e2ca3bf4727a \ - --hash=sha256:e4017b5685dbab4250df58084f07d95e677b2f3ed6c2e507a1afb8eb23b580ca \ - --hash=sha256:e5d680162694fac4c8a374954e261ddfb4eb0ce103287b0f693e4e9c579ef957 \ - --hash=sha256:ece17995857dd328485c9c027c0b20ffc52db232e30c84ff6c95ab77201112c5 +torchvision==0.22.1 \ + --hash=sha256:043d9e35ed69c2e586aff6eb9e2887382e7863707115668ac9d140da58f42cba \ + --hash=sha256:153f1790e505bd6da123e21eee6e83e2e155df05c0fe7d56347303067d8543c5 \ + --hash=sha256:154a2bdc37a16122c2024f2f77e65f5986020b40c013515c694b5d357fac99a1 \ + --hash=sha256:2566cafcfa47ecfdbeed04bab8cef1307c8d4ef75046f7624b9e55f384880dfe \ + --hash=sha256:27142bcc8a984227a6dcf560985e83f52b82a7d3f5fe9051af586a2ccc46ef26 \ + --hash=sha256:3347f690c2eed6d02aa0edfb9b01d321e7f7cf1051992d96d8d196c39b881d49 \ + --hash=sha256:3b47d8369ee568c067795c0da0b4078f39a9dfea6f3bc1f3ac87530dfda1dd56 \ + --hash=sha256:4a614a6a408d2ed74208d0ea6c28a2fbb68290e9a7df206c5fef3f0b6865d307 \ + --hash=sha256:4addf626e2b57fc22fd6d329cf1346d474497672e6af8383b7b5b636fba94a53 \ + --hash=sha256:699c2d70d33951187f6ed910ea05720b9b4aaac1dcc1135f53162ce7d42481d3 \ + --hash=sha256:7414eeacfb941fa21acddcd725f1617da5630ec822e498660a4b864d7d998075 \ + --hash=sha256:75e0897da7a8e43d78632f66f2bdc4f6e26da8d3f021a7c0fa83746073c2597b \ + --hash=sha256:7ee682be589bb1a002b7704f06b8ec0b89e4b9068f48e79307d2c6e937a9fdf4 \ + --hash=sha256:86ad938f5a6ca645f0d5fb19484b1762492c2188c0ffb05c602e9e9945b7b371 \ + --hash=sha256:8b4a53a6067d63adba0c52f2b8dd2290db649d642021674ee43c0c922f0c6a69 \ + --hash=sha256:8be941b4d35c0aba819be70fdbbbed8ceb60401ce6996b8cfaaba1300ce62263 \ + --hash=sha256:964414eef19459d55a10e886e2fca50677550e243586d1678f65e3f6f6bac47a \ + --hash=sha256:990de4d657a41ed71680cd8be2e98ebcab55371f30993dc9bd2e676441f7180e \ + --hash=sha256:9c3ae3319624c43cc8127020f46c14aa878406781f0899bb6283ae474afeafbf \ + --hash=sha256:b7866a3b326413e67724ac46f1ee594996735e10521ba9e6cdbe0fa3cd98c2f2 \ + --hash=sha256:bb3f6df6f8fd415ce38ec4fd338376ad40c62e86052d7fc706a0dd51efac1718 \ + --hash=sha256:e01631046fda25a1eca2f58d5fdc9a152b93740eb82435cdb27c5151b8d20c02 \ + --hash=sha256:ef46e065502f7300ad6abc98554131c35dc4c837b978d91306658f1a65c00baa \ + --hash=sha256:ef7dee376f42900c0e7b0e34624f391d9ece70ab90ee74b42de0c1fffe371284 # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4293,7 +4371,6 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm traitlets==5.14.3 \ @@ -4315,15 +4392,15 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.51.3 \ - --hash=sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409 \ - --hash=sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # compressed-tensors # vllm # xgrammar -triton==3.3.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8cf975f47838c495a6a1a71007abad31b56312924a97d78874412de3232a7993 +triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via # torch # xgrammar @@ -4357,9 +4434,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -4438,9 +4515,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4650,42 +4727,36 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:357875986f50f105f445dc9a002c8450623cd4a6a469865c463285d0376fe77b \ - --hash=sha256:37c96f8154109383c3c046d43492fa713aa2c90788a0dde2274104177cdcdddd \ - --hash=sha256:60396dff69a04071249809885962b7365afe650a7910f094d67b045b47a60388 \ - --hash=sha256:7b2e2aa615bce02ac20d58232b0e17304c62ec533ac0db2040a948df0155858d \ - --hash=sha256:8549ca30700d70dae904ec4407c6188cd73fd551e585f862c1d3aca3b7bc371c \ - --hash=sha256:9ce1634798cb96643f077acbced80f985e3cdab12cf468851057ed31cab0bdab \ - --hash=sha256:9e54eed6080e65455213174ad6b26c5e361715ca2d52759fde26055188802d92 \ - --hash=sha256:a12bf3eb39e294cdbe8a7253ac9b665f41bac61d6d98df174e34ef7bdb6f2fc4 \ - --hash=sha256:f9c9476fb7bd5d60c396ce096e36ae3e7c3461101da7a228ab1d2b7e64fb2318 +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ + --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ + --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via vllm -xgrammar==0.1.19 \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -r python/requirements/llm/llm-test-requirements.txt # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 8efe739855f3..dd017f748185 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -129,10 +129,6 @@ aiosqlite==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # ypy-websocket -airportsdata==20250523 \ - --hash=sha256:78e0eb72efccd63bda2decf1c6ec0a8e1d3ae8312764a85baa56496607c8f3de \ - --hash=sha256:88ce8a928ee45d650b5214a3b16273f0bf1d04a4494c78a216aea067e42a0233 - # via outlines alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 @@ -374,6 +370,52 @@ cachetools==5.5.2 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-auth # vllm +cbor2==5.6.5 \ + --hash=sha256:3038523b8fc7de312bb9cdcbbbd599987e64307c4db357cd2030c472a6c7d468 \ + --hash=sha256:34cf5ab0dc310c3d0196caa6ae062dc09f6c242e2544bea01691fe60c0230596 \ + --hash=sha256:37096663a5a1c46a776aea44906cbe5fa3952f29f50f349179c00525d321c862 \ + --hash=sha256:38886c41bebcd7dca57739439455bce759f1e4c551b511f618b8e9c1295b431b \ + --hash=sha256:3d1a18b3a58dcd9b40ab55c726160d4a6b74868f2a35b71f9e726268b46dc6a2 \ + --hash=sha256:4586a4f65546243096e56a3f18f29d60752ee9204722377021b3119a03ed99ff \ + --hash=sha256:47261f54a024839ec649b950013c4de5b5f521afe592a2688eebbe22430df1dc \ + --hash=sha256:54c72a3207bb2d4480c2c39dad12d7971ce0853a99e3f9b8d559ce6eac84f66f \ + --hash=sha256:559dcf0d897260a9e95e7b43556a62253e84550b77147a1ad4d2c389a2a30192 \ + --hash=sha256:5b856fda4c50c5bc73ed3664e64211fa4f015970ed7a15a4d6361bd48462feaf \ + --hash=sha256:5ce13a27ef8fddf643fc17a753fe34aa72b251d03c23da6a560c005dc171085b \ + --hash=sha256:5cff06464b8f4ca6eb9abcba67bda8f8334a058abc01005c8e616728c387ad32 \ + --hash=sha256:61ceb77e6aa25c11c814d4fe8ec9e3bac0094a1f5bd8a2a8c95694596ea01e08 \ + --hash=sha256:66dd25dd919cddb0b36f97f9ccfa51947882f064729e65e6bef17c28535dc459 \ + --hash=sha256:6797b824b26a30794f2b169c0575301ca9b74ae99064e71d16e6ba0c9057de51 \ + --hash=sha256:6e14a1bf6269d25e02ef1d4008e0ce8880aa271d7c6b4c329dba48645764f60e \ + --hash=sha256:73b9647eed1493097db6aad61e03d8f1252080ee041a1755de18000dd2c05f37 \ + --hash=sha256:7488aec919f8408f9987a3a32760bd385d8628b23a35477917aa3923ff6ad45f \ + --hash=sha256:7f6d69f38f7d788b04c09ef2b06747536624b452b3c8b371ab78ad43b0296fab \ + --hash=sha256:824f202b556fc204e2e9a67d6d6d624e150fbd791278ccfee24e68caec578afd \ + --hash=sha256:863e0983989d56d5071270790e7ed8ddbda88c9e5288efdb759aba2efee670bc \ + --hash=sha256:87026fc838370d69f23ed8572939bd71cea2b3f6c8f8bb8283f573374b4d7f33 \ + --hash=sha256:8f747b7a9aaa58881a0c5b4cd4a9b8fb27eca984ed261a769b61de1f6b5bd1e6 \ + --hash=sha256:90bfa36944caccec963e6ab7e01e64e31cc6664535dc06e6295ee3937c999cbb \ + --hash=sha256:93676af02bd9a0b4a62c17c5b20f8e9c37b5019b1a24db70a2ee6cb770423568 \ + --hash=sha256:94885903105eec66d7efb55f4ce9884fdc5a4d51f3bd75b6fedc68c5c251511b \ + --hash=sha256:97a7e409b864fecf68b2ace8978eb5df1738799a333ec3ea2b9597bfcdd6d7d2 \ + --hash=sha256:a34ee99e86b17444ecbe96d54d909dd1a20e2da9f814ae91b8b71cf1ee2a95e4 \ + --hash=sha256:a3ac50485cf67dfaab170a3e7b527630e93cb0a6af8cdaa403054215dff93adf \ + --hash=sha256:a83b76367d1c3e69facbcb8cdf65ed6948678e72f433137b41d27458aa2a40cb \ + --hash=sha256:a88f029522aec5425fc2f941b3df90da7688b6756bd3f0472ab886d21208acbd \ + --hash=sha256:a8947c102cac79d049eadbd5e2ffb8189952890df7cbc3ee262bbc2f95b011a9 \ + --hash=sha256:ae2b49226224e92851c333b91d83292ec62eba53a19c68a79890ce35f1230d70 \ + --hash=sha256:b682820677ee1dbba45f7da11898d2720f92e06be36acec290867d5ebf3d7e09 \ + --hash=sha256:b9d15b638539b68aa5d5eacc56099b4543a38b2d2c896055dccf7e83d24b7955 \ + --hash=sha256:e16c4a87fc999b4926f5c8f6c696b0d251b4745bc40f6c5aee51d69b30b15ca2 \ + --hash=sha256:e25c2aebc9db99af7190e2261168cdde8ed3d639ca06868e4f477cf3a228a8e9 \ + --hash=sha256:f0d0a9c5aabd48ecb17acf56004a7542a0b8d8212be52f3102b8218284bd881e \ + --hash=sha256:f2764804ffb6553283fc4afb10a280715905a4cea4d6dc7c90d3e89c4a93bc8d \ + --hash=sha256:f4c7dbcdc59ea7f5a745d3e30ee5e6b6ff5ce7ac244aa3de6786391b10027bb3 \ + --hash=sha256:f91e6d74fa6917df31f8757fdd0e154203b0dd0609ec53eb957016a2b474896a \ + --hash=sha256:fa61a02995f3a996c03884cf1a0b5733f88cbfd7fa0e34944bf678d4227ee712 \ + --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ + --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c + # via vllm certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -440,6 +482,7 @@ cffi==1.16.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # argon2-cffi-bindings # cryptography + # soundfile charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ @@ -550,7 +593,6 @@ cloudpickle==2.2.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # gymnasium - # outlines # vllm colorama==0.4.6 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 @@ -672,9 +714,9 @@ defusedxml==0.7.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # nbconvert -depyf==0.18.0 \ - --hash=sha256:007294d5bac19a38a0767d747be0f49b9ffdcea0394a822644142df22b33a3e1 \ - --hash=sha256:b99f0c383be949ae45d5d606fe444c71f375b55a57b8d6b20e7856670d52130d +depyf==0.19.0 \ + --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ + --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via vllm dill==0.4.0 \ --hash=sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0 \ @@ -683,7 +725,7 @@ dill==0.4.0 \ diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 - # via outlines + # via vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 @@ -1293,9 +1335,9 @@ httpx==0.28.1 \ # -r python/requirements/llm/llm-test-requirements.txt # fastapi # openai -huggingface-hub==0.33.2 \ - --hash=sha256:3749498bfa91e8cde2ddc2c1db92c79981f40e66434c20133b39e5928ac9bcc5 \ - --hash=sha256:84221defaec8fa09c090390cd68c78b88e3c4c2b7befba68d3dc5aacbc3c2c5f +huggingface-hub==0.34.3 \ + --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ + --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via # tokenizers # transformers @@ -1342,10 +1384,7 @@ iniconfig==2.0.0 \ interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 - # via - # lm-format-enforcer - # outlines - # outlines-core + # via lm-format-enforcer ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 @@ -1405,7 +1444,6 @@ jinja2==3.1.6 \ # nbclassic # nbconvert # notebook - # outlines # sphinx # torch jiter==0.10.0 \ @@ -1529,8 +1567,6 @@ jsonschema==4.23.0 \ # jupyterlab-server # mistral-common # nbformat - # outlines - # outlines-core # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ @@ -1627,9 +1663,7 @@ jupytext==1.17.2 \ lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 - # via - # outlines - # vllm + # via vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1914,9 +1948,9 @@ meson==1.8.2 \ --hash=sha256:274b49dbe26e00c9a591442dd30f4ae9da8ce11ce53d0f4682cd10a45d50f6fd \ --hash=sha256:c105816d8158c76b72adcb9ff60297719096da7d07f6b1f000fd8c013cd387af # via -r python/requirements/llm/llm-requirements.txt -mistral-common==1.6.3 \ - --hash=sha256:28ab533118e472cabaceb3d3a17ad43a9656dc3cd5bcb9cf28c61d8c7018a663 \ - --hash=sha256:a574807f79a639db672bede258b79ad7570e137adff9f2bf811764365449eb13 +mistral-common==1.8.3 \ + --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ + --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via vllm mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ @@ -2176,7 +2210,6 @@ nest-asyncio==1.5.8 \ # nbclassic # nbclient # notebook - # outlines networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via @@ -2287,10 +2320,11 @@ numpy==1.26.4 \ # mistral-common # numba # opencv-python-headless - # outlines # pandas # scikit-image # scipy + # soundfile + # soxr # tensorboardx # tifffile # torchvision @@ -2358,9 +2392,9 @@ oauth2client==4.1.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt -openai==1.86.0 \ - --hash=sha256:c64d5b788359a8fdf69bd605ae804ce41c1ce2e78b8dd93e2542e0ee267f1e4b \ - --hash=sha256:c8889c39410621fe955c230cc4c21bfe36ec887f4e60a957de05f507d7e1f349 +openai==1.90.0 \ + --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ + --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -2419,37 +2453,49 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # opentelemetry-sdk -outlines==0.1.11 \ - --hash=sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba \ - --hash=sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727 +outlines-core==0.2.10 \ + --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ + --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ + --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ + --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ + --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ + --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ + --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ + --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ + --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ + --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ + --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ + --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ + --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ + --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ + --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ + --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ + --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ + --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ + --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ + --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ + --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ + --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ + --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ + --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ + --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ + --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ + --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ + --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ + --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ + --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ + --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ + --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ + --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ + --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ + --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ + --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ + --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ + --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ + --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ + --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ + --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via vllm -outlines-core==0.1.26 \ - --hash=sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e \ - --hash=sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538 \ - --hash=sha256:15a3684fa29564da2db03934cf0097bef3e871f70d3af0ef2b52fdb886da2e09 \ - --hash=sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d \ - --hash=sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128 \ - --hash=sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77 \ - --hash=sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2 \ - --hash=sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189 \ - --hash=sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6 \ - --hash=sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f \ - --hash=sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c \ - --hash=sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009 \ - --hash=sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c \ - --hash=sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a \ - --hash=sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e \ - --hash=sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17 \ - --hash=sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69 \ - --hash=sha256:a8932044a3d9329be53a226118850638f85b4d7842f9b863d0a123f23de220cd \ - --hash=sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e \ - --hash=sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0 \ - --hash=sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b \ - --hash=sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223 \ - --hash=sha256:f19765c151abfc970996368080aeea6d2a19e927817fe4e2af6726e639be3de4 \ - --hash=sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346 \ - --hash=sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953 - # via outlines packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 @@ -3051,7 +3097,7 @@ pybind11==2.13.6 \ pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f - # via outlines + # via pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 @@ -3109,7 +3155,7 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai - # outlines + # pydantic-extra-types # vllm # xgrammar pydantic-core==2.27.0 \ @@ -3216,6 +3262,10 @@ pydantic-core==2.27.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # pydantic +pydantic-extra-types==2.10.5 \ + --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ + --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 + # via mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a @@ -3470,7 +3520,6 @@ referencing==0.36.2 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # jsonschema # jsonschema-specifications - # outlines regex==2024.11.6 \ --hash=sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c \ --hash=sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60 \ @@ -3584,7 +3633,6 @@ requests==2.32.3 \ # jupyterlab-server # mistral-common # msal - # outlines # ray # smart-open # sphinx @@ -3874,7 +3922,6 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm - # xgrammar shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3920,12 +3967,45 @@ snowballstemmer==3.0.1 \ --hash=sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064 \ --hash=sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895 # via sphinx +soundfile==0.13.1 \ + --hash=sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618 \ + --hash=sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9 \ + --hash=sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593 \ + --hash=sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33 \ + --hash=sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb \ + --hash=sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445 \ + --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ + --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 + # via mistral-common soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # beautifulsoup4 +soxr==0.5.0.post1 \ + --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ + --hash=sha256:4704ba6b13a3f1e41d12acf192878384c1c31f71ce606829c64abdf64a8d7d32 \ + --hash=sha256:4f0b558f445ba4b64dbcb37b5f803052eee7d93b1dbbbb97b3ec1787cb5a28eb \ + --hash=sha256:6fb77b626773a966e3d8f6cb24f6f74b5327fa5dc90f1ff492450e9cdc03a378 \ + --hash=sha256:7092b9f3e8a416044e1fa138c8172520757179763b85dc53aa9504f4813cff73 \ + --hash=sha256:7406d782d85f8cf64e66b65e6b7721973de8a1dc50b9e88bc2288c343a987484 \ + --hash=sha256:7e71b0b0db450f36de70f1047505231db77a713f8c47df9342582ae8a4b828f2 \ + --hash=sha256:8b01d3efb95a2851f78414bcd00738b0253eec3f5a1e5482838e965ffef84969 \ + --hash=sha256:94de2812368e98cb42b4eaeddf8ee1657ecc19bd053f8e67b9b5aa12a3592012 \ + --hash=sha256:97f269bc26937c267a2ace43a77167d0c5c8bba5a2b45863bb6042b5b50c474e \ + --hash=sha256:9c8e9c980637e03d3f345a4fd81d56477a58c294fb26205fa121bc4eb23d9d01 \ + --hash=sha256:a3f16810dd649ab1f433991d2a9661e9e6a116c2b4101039b53b3c3e90a094fc \ + --hash=sha256:b1be9fee90afb38546bdbd7bde714d1d9a8c5a45137f97478a83b65e7f3146f6 \ + --hash=sha256:bd052a66471a7335b22a6208601a9d0df7b46b8d087dce4ff6e13eed6a33a2a1 \ + --hash=sha256:c4d8d5283ed6f5efead0df2c05ae82c169cfdfcf5a82999c2d629c78b33775e8 \ + --hash=sha256:c5af7b355959061beb90a1d73c4834ece4549f07b708f8c73c088153cec29935 \ + --hash=sha256:ca6903671808e0a6078b0d146bb7a2952b118dfba44008b2aa60f221938ba829 \ + --hash=sha256:e1dda616fc797b1507b65486f3116ed2c929f13c722922963dd419d64ada6c07 \ + --hash=sha256:fa0a382fb8d8e2afed2c1642723b2d2d1b9a6728ff89f77f3524034c8885b8c9 \ + --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ + --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 + # via mistral-common sphinx==6.2.1 \ --hash=sha256:6d56a34697bb749ffa0152feafc4b19836c755d90a7c59b72bc7dfd371b9cc6b \ --hash=sha256:97787ff1fa3256a3eef9eda523a63dbf299f7b47e053cfcf684a1c2a8380c912 @@ -4045,7 +4125,6 @@ tiktoken==0.9.0 \ # via # mistral-common # vllm - # xgrammar tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 @@ -4071,60 +4150,59 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.0+cu128 \ - --hash=sha256:1704e5dd66c9221e4e8b6ae2d80cbf54e129571e643f5fa9ca78cc6d2096403a \ - --hash=sha256:2f155388b1200e08f3e901bb3487ff93ca6d63cde87c29b97bb6762a8f63b373 \ - --hash=sha256:3559e98be824c2b12ab807319cd61c6174d73a524c9961317de8e8a44133c5c5 \ - --hash=sha256:47c895bcab508769d129d717a4b916b10225ae3855723aeec8dff8efe5346207 \ - --hash=sha256:58c749f52ddc9098155c77d6c74153bb13d8978fd6e1063b5d7b41d4644f5af5 \ - --hash=sha256:633f35e8b1b1f640ef5f8a98dbd84f19b548222ce7ba8f017fe47ce6badc106a \ - --hash=sha256:6bba7dca5d9a729f1e8e9befb98055498e551efaf5ed034824c168b560afc1ac \ - --hash=sha256:78e13c26c38ae92d6841cf9ce760d7e9d52bca3e3183de371812e84274b054dc \ - --hash=sha256:7c0f08d1c44a02abad389373dddfce75904b969a410be2f4e5109483dd3dc0ce \ - --hash=sha256:8614a167d6a163273fb130f586802f3243479862b53ee2843941c10cc5761da6 \ - --hash=sha256:ac1849553ee673dfafb44c610c60cb60a2890f0e117f43599a526cf777eb8b8c \ - --hash=sha256:b1f0cdd0720ad60536deb5baa427b782fd920dd4fcf72e244d32974caafa3b9e \ - --hash=sha256:bf88f647d76d79da9556ca55df49e45aff1d66c12797886364343179dd09a36c \ - --hash=sha256:c4bbc0b4be60319ba1cefc90be9557b317f0b3c261eeceb96ca6e0343eec56bf \ - --hash=sha256:c52c4b869742f00b12cb34521d1381be6119fa46244791704b00cc4a3cb06850 \ - --hash=sha256:d2f69f909da5dc52113ec66a851d62079f3d52c83184cf64beebdf12ca2f705c \ - --hash=sha256:f446f97b20cb070747b103fb640df941b88cb68c8d3b01538287d05d56a7e874 \ - --hash=sha256:fa05ac6ebed4777de7a5eff398c1f17b697c02422516748ce66a8151873e5a0e +torch==2.7.1+cu128 \ + --hash=sha256:01d4745b4289d8a238c1741cae9920241fb1be199108c83002c661fc3e4d60da \ + --hash=sha256:0b64f7d0a6f2a739ed052ba959f7b67c677028c9566ce51997f9f90fe573ddaa \ + --hash=sha256:138c66dcd0ed2f07aafba3ed8b7958e2bed893694990e0b4b55b6b2b4a336aa6 \ + --hash=sha256:268e54db9f0bc2b7b9eb089852d3e592c2dea2facc3db494100c3d3b796549fa \ + --hash=sha256:2bb8c05d48ba815b316879a18195d53a6472a03e297d971e916753f8e1053d30 \ + --hash=sha256:3a0954c54fd7cb9f45beab1272dece2a05b0e77023c1da33ba32a7919661260f \ + --hash=sha256:500ad5b670483f62d4052e41948a3fb19e8c8de65b99f8d418d879cbb15a82d6 \ + --hash=sha256:5174f02de8ca14df87c8e333c4c39cf3ce93a323c9d470d690301d110a053b3c \ + --hash=sha256:738ac9b3ad79e62a21256e3d250cee858de955f93f89fab114da8d1919347d06 \ + --hash=sha256:9560425f9ea1af1791507e8ca70d5b9ecf62fed7ca226a95fcd58d0eb2cca78f \ + --hash=sha256:9eadb0a49ae383b2d20e059b8614485cf216f3ebd13c4f401daa917e9979254b \ + --hash=sha256:aca3472608e3c92df5166537595687b53a6c997082478b372427b043dbed98d0 \ + --hash=sha256:c301dc280458afd95450af794924c98fe07522dd148ff384739b810e3e3179f2 \ + --hash=sha256:c355db49c218ada70321d5c5c9bb3077312738b99113c8f3723ef596b554a7b9 \ + --hash=sha256:d56d29a6ad7758ba5173cc2b0c51c93e126e2b0a918e874101dc66545283967f \ + --hash=sha256:d6c3cba198dc93f93422a8545f48a6697890366e4b9701f54351fc27e2304bd3 \ + --hash=sha256:e27e5f7e74179fb5d814a0412e5026e4b50c9e0081e9050bc4c28c992a276eb1 \ + --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 # via # compressed-tensors - # outlines # torchaudio # torchvision # vllm # xformers # xgrammar -torchaudio==2.7.0+cu128 \ - --hash=sha256:03d141a4701aff80c835b7ffce3a189e741acaa098b694f28c30bf5856cf5734 \ - --hash=sha256:0e9a4a2c4f543cefefa01dd40f49c4c4406fbded0a7295a9915827678345790f \ - --hash=sha256:1bf478e24e94aa49b682e6b6ab481998cb542d06f77daa9aafc92cedd6a21127 \ - --hash=sha256:315eca8babdaa7b87ccc9b5488d7e9abf7b0fc02255dd14d40c05bc76fdc263c \ - --hash=sha256:4b2308d19b7a1d4e33c4dc2e97452742b6820b83bda6da2564383725107e182a \ - --hash=sha256:4e07c40cc145e864ba2399fdfb6eedefc682f64624f2b8d8bf56703c3101005c \ - --hash=sha256:941f59c037390e288bce798f9ce53dc17b894f707f7f46b50ba3aa1c3144d283 \ - --hash=sha256:a624d626c9535b2f950a763c4d3032613f751a6c6e02a653d983a551d5f82261 \ - --hash=sha256:d62b6e9b792ad37af6d1289ba283e1029e71b4ff9cd3c6cf7f0e7776f23254b2 \ - --hash=sha256:f6c6c2c3a74225225b5d823db7e3910b581b3bb5fac891c0e7bf3549fb5d55b6 \ - --hash=sha256:f96c2be8aff6c827e76fd3a85e69a54ba5b9a37090853ed886f056ddfbca09a4 \ - --hash=sha256:fc2627c5e9a362300692f34f7d587088b2bd19e8e6158640b8266532f53051b9 +torchaudio==2.7.1+cu128 \ + --hash=sha256:0c144d5ffb4eec86c79ff1136abd91bd3f837f3042713795e10758aedc42dce8 \ + --hash=sha256:0c1d407f934d44f87935b139991d8872f81f88f8a6be9b7bd25918bf744e2be6 \ + --hash=sha256:170ca262fad47188ce35010fd34d5b3661c46a2c053383fd72ef653f713329ce \ + --hash=sha256:2ba0816eee659e343851a9c5dc60c8e1eb819a3969b29268fab27d3143273d78 \ + --hash=sha256:37a42de8c0f601dc0bc7dcccc4049644ef5adcf45920dd5813c339121e5b5a8c \ + --hash=sha256:456f3f3db40aa3dcdd1e19a4367a62452c30b46ede3a5ddfd316a034e383d63c \ + --hash=sha256:4586e3106701b06a4f9377f5c1da9e1d8555e16bd58fd7d810aa3f6cf50bd713 \ + --hash=sha256:7e97ea8a5d5e56108d1c071416613bc61a0e3531c2e6ba6a9b646232d6e41088 \ + --hash=sha256:84ec727f1fdafdf85dd1c018a6d3bfabeb5665b10e0b5f273a675eb730f59ce5 \ + --hash=sha256:84fb5c546faced5e835ff8edde419fa407513f7ff21cc05e2b4a8978463b16b7 \ + --hash=sha256:b1e56a999a06a5deaebfb991dc676aaa60d98139907d99badbc6dca6456637ee \ + --hash=sha256:cb435329019d441d8177db2d84e8d397881896d100efb4f4c15f0d3732f92a81 # via vllm -torchvision==0.22.0+cu128 \ - --hash=sha256:03b454b867f7a0aa9861a463042141448c4f15bec784def19eed39a57fac217b \ - --hash=sha256:06c101f40e1ff94869be14487c91fd5352e376f202fdeafb8f53c58cee2fbeb5 \ - --hash=sha256:17d50ffb1df6320da16b85395f1078bf369250ea144f3bb405088aca3d5f030f \ - --hash=sha256:209c29d78cf2003cf4e22c9b651790f57171334998ee3125594d130526aeaa50 \ - --hash=sha256:59df5a550113a80ce523047066eaaedb168c69482da88c3ab246716ab45ba092 \ - --hash=sha256:90a0dacad36b1ea8de912af8583cbe780b4a1bdf9cb85870fe548fdec212ab31 \ - --hash=sha256:a87393c86649b7e56b4bf859fe95922ee6ec1c1f3b430246fb1a5b51f8aee37a \ - --hash=sha256:c92a353ff82db3312644b5b26d410b586b72969b535948d584c247569f75605c \ - --hash=sha256:cdd90b768b01b0d638cb06a6c211b550b275c0c207b5210b7cbb5cea8dde11db \ - --hash=sha256:ee4fa6d4052d9ae25c1233289947fbfa4b88d23710254ab1772b108c1fc5fb4d \ - --hash=sha256:f3ac527d58b4c2043eb8d9e29fc56cd1751f36f2aaa6dc75e34ec54c951bcb9c \ - --hash=sha256:f5dae1307c34813425c0b753530c035e1cc72af0bded395d1ba64dcb2872889f +torchvision==0.22.1+cu128 \ + --hash=sha256:02faf51fbf5070592768fa935327d13a484b745faef38b0fee01d85cfb35f5bc \ + --hash=sha256:51f25bc1d28b037d98a1415c917441726244d8a00971907e6dfb00eccc31365f \ + --hash=sha256:538f4db667286d939b4eee0a66d31ed21b51186668006b0e0ffe20338ecc7e00 \ + --hash=sha256:650561ba326d21021243f5e064133dc62dc64d52f79623db5cd76637a9665f96 \ + --hash=sha256:85ecd729c947151eccea502853be6efc2c0029dc26e6e5148e04684aed008390 \ + --hash=sha256:92568ac46b13a8c88b61589800b1b9c4629be091ea7ce080fc6fc622e11e0915 \ + --hash=sha256:ad48ba3c3ffd48027e3a8de42fcea131a53a524ee9416ca4efb22f9ac6b7328d \ + --hash=sha256:bc4fef193917b51db6b409acd3ffdec9286d877baac0aee5dcfbb72592d00bfc \ + --hash=sha256:d44d8bc41162167aa7b9eba0587362d007e84b7ecab5774972ad78eb4d30c004 \ + --hash=sha256:e5320bb2c9f69636f3dc18abc3291fe8c8e448cb9ef0112510a5413a5af3f8f2 \ + --hash=sha256:eb784cc75a66f3336a04ff3a992bf74160842132db69e8bdbb58b5ab9422c345 \ + --hash=sha256:f64ef9bb91d71ab35d8384912a19f7419e35928685bc67544d58f45148334373 # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4186,7 +4264,6 @@ tqdm==4.67.1 \ # gguf # huggingface-hub # openai - # outlines # transformers # vllm traitlets==5.14.3 \ @@ -4208,15 +4285,15 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.52.4 \ - --hash=sha256:203f5c19416d5877e36e88633943761719538a25d9775977a24fe77a1e5adfc7 \ - --hash=sha256:aff3764441c1adc192a08dba49740d3cbbcb72d850586075aed6bd89b98203e6 +transformers==4.54.1 \ + --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ + --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 # via # compressed-tensors # vllm # xgrammar -triton==3.3.0 ; sys_platform == 'linux' \ - --hash=sha256:8cf975f47838c495a6a1a71007abad31b56312924a97d78874412de3232a7993 +triton==3.3.1 ; sys_platform == 'linux' \ + --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via # torch # xgrammar @@ -4249,9 +4326,9 @@ typing-extensions==4.12.2 \ # opentelemetry-api # opentelemetry-sdk # opentelemetry-semantic-conventions - # outlines # pydantic # pydantic-core + # pydantic-extra-types # pyopenssl # referencing # torch @@ -4330,9 +4407,9 @@ virtualenv==20.29.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -vllm==0.9.2 \ - --hash=sha256:6b0d855ea8ba18d76364c9b82ea94bfcaa9c9e724055438b5733e4716ed104e1 \ - --hash=sha256:f3c5da29a286f4933b480a5b4749fab226564f35c96928eeef547f88d385cd34 +vllm==0.10.0 \ + --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ + --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4542,34 +4619,34 @@ wrapt==1.14.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt -xformers==0.0.30 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:bc0fdaaef53434566449340fc758342724d13d52cfa3a77f587535687e9d600c +xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a # via vllm -xgrammar==0.1.19 \ - --hash=sha256:057a883ac2f37afe15e045eaad5dad8458bdaa1b69d62f554ff7ac6ca3f4b4a7 \ - --hash=sha256:16439a86378f7e07d2db91f8a9645d1ff9959b018f1fae6768a057b4b3926dc7 \ - --hash=sha256:1994a8f29fb3f7084bd48a49d7cca1bb01fcd3cd5f2e093bd02fd1278f0ed5a4 \ - --hash=sha256:3e198c4cfc498157fe120dfe09c4f84358d7ede48530541b8f419c7bc64b7ec2 \ - --hash=sha256:430400fc5ec5534229d27245c33b4c18d3428f732a80a14d3fcd2ef5b2477725 \ - --hash=sha256:4a430dbf229c04539f0929069df245f5f652298e37dc3f04ce0a6aa8639546ef \ - --hash=sha256:53c3b94cf1489121064e2b89bf143325e7b30410c1f8e36f83a69132bb80c451 \ - --hash=sha256:6b4bfd84df561b978e4158796adbfa23c80db96e19754483508d4f9003f2f88f \ - --hash=sha256:6f26bbcf8d4f7698c64f4304b99b45dffe4633012d0c91f1c3f687dd08696ef7 \ - --hash=sha256:70ee7d359386e816eb85f9f763d68a0f2dfedb3da8601ed38e6e8e8391aa9b98 \ - --hash=sha256:70f1bb54e9bdb92830424713629e37ffcd4f8e4ebbbf03a72860503e25d349bf \ - --hash=sha256:72da54b585cc16ef1d5222fc843f3d4227028ef2c7158050cddab0de820458af \ - --hash=sha256:75bf3e814283b1cbaee9252234c5d4081f0058d29b26d8984f1cdf031c99b775 \ - --hash=sha256:78f02e241a2e6ec568b29da7ce049f350e2e95d2c51c5423c016b02f92941c63 \ - --hash=sha256:7c071a28e00409a4b098b80fca5a6459fddefd3911fabd8e590564ce7c4b45ec \ - --hash=sha256:9a69abe4d7a6ded512407e69b1772391f5af7db4c69220651a6bd816b68f90c9 \ - --hash=sha256:a393827a63bb85e2e53ad5994db7e93359041ca5a46fa7e71e7a90312029969f \ - --hash=sha256:b9e770afe040969d4d2be1b4a8086927c12c89f3145e3601433467bb940d3ef3 \ - --hash=sha256:c151c7e73ac0550cb0bec6ee4cb4be9553bd547d246fe35c0e4fd8a6a9e9b813 \ - --hash=sha256:c9beb2cb2b55c9524f24b3cbf8181c47e435586976aa0c37e220661f786c601f \ - --hash=sha256:d15680fed6b7a776e1323bc06d493e6c2730092187b6c4d9d3c22fbb220226bb \ - --hash=sha256:defb7cfc6b0ec114211280cf2e67bd8cbcbc6d58319a13c26be2854ed61c4dd1 \ - --hash=sha256:f493cb36275fefd66c7aac799d7c2aaf629b9c8968c29db5aa895fcfde4e092d \ - --hash=sha256:fcfeac78f12b75348cce8b8c1ae75cf522cf45f38eb710697aa4512de659b93c +xgrammar==0.1.21 \ + --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ + --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ + --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ + --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ + --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ + --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ + --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ + --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ + --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ + --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ + --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ + --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ + --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ + --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ + --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ + --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ + --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ + --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ + --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ + --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ + --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ + --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ + --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ + --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via # -r python/requirements/llm/llm-test-requirements.txt # vllm diff --git a/python/setup.py b/python/setup.py index cfd92c1fb2ef..950526d26184 100644 --- a/python/setup.py +++ b/python/setup.py @@ -355,7 +355,7 @@ def get_packages(self): setup_spec.extras["llm"] = list( set( [ - "vllm>=0.9.2", + "vllm>=0.10.0", "jsonref>=1.1.0", "jsonschema", "ninja", diff --git a/release/llm_tests/serve/test_llm_serve_integration.py b/release/llm_tests/serve/test_llm_serve_integration.py index f3bb6f7c0831..dcca2a107f9f 100644 --- a/release/llm_tests/serve/test_llm_serve_integration.py +++ b/release/llm_tests/serve/test_llm_serve_integration.py @@ -3,12 +3,10 @@ from ray import serve from ray.serve.llm import LLMConfig, build_openai_app -from ray.llm._internal.serve.deployments.llm.vllm.vllm_loggers import ( - RayPrometheusStatLogger, -) from vllm import AsyncEngineArgs from vllm.v1.engine.async_llm import AsyncLLM +from vllm.v1.metrics.ray_wrappers import RayPrometheusStatLogger from vllm.sampling_params import SamplingParams from ray._common.test_utils import wait_for_condition from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME @@ -45,6 +43,77 @@ async def test_engine_metrics(): pass +@pytest.mark.asyncio(scope="function") +async def test_engine_metrics_with_lora(): + """ + Test that the stat logger can be created successfully with LoRA configuration. + This test validates LoRA-enabled engine initialization and basic functionality. + """ + + engine_args = AsyncEngineArgs( + model="Qwen/Qwen2.5-0.5B-Instruct", # Using smaller model for testing + disable_log_stats=False, + enforce_eager=True, + enable_prefix_caching=True, + max_model_len=512, + max_lora_rank=64, + enable_lora=True, + max_loras=3, + max_cpu_loras=5, + ) + + engine = AsyncLLM.from_engine_args( + engine_args, stat_loggers=[RayPrometheusStatLogger] + ) + + for i, prompt in enumerate(["What is the capital of France?", "What is 2+2?"]): + results = engine.generate( + request_id=f"lora-request-id-{i}", + prompt=prompt, + sampling_params=SamplingParams(max_tokens=10), + ) + + async for _ in results: + pass + + +@pytest.mark.asyncio(scope="function") +async def test_engine_metrics_with_spec_decode(): + """ + Test that the stat logger can be created successfully with speculative decoding configuration. + This test validates speculative decoding engine initialization and basic functionality. + """ + + engine_args = AsyncEngineArgs( + model="Qwen/Qwen2.5-0.5B-Instruct", + dtype="auto", + disable_log_stats=False, + enforce_eager=True, + trust_remote_code=True, + enable_prefix_caching=True, + max_model_len=256, + speculative_config={ + "method": "ngram", + "num_speculative_tokens": 5, + "prompt_lookup_max": 4, + }, + ) + + engine = AsyncLLM.from_engine_args( + engine_args, stat_loggers=[RayPrometheusStatLogger] + ) + + for i, prompt in enumerate(["What is the capital of France?", "What is 2+2?"]): + results = engine.generate( + request_id=f"spec-request-id-{i}", + prompt=prompt, + sampling_params=SamplingParams(max_tokens=10), + ) + + async for _ in results: + pass + + @pytest.mark.asyncio(scope="function") @pytest.fixture def remote_model_app(request): @@ -68,9 +137,7 @@ def remote_model_app(request): ), "engine_kwargs": dict( tensor_parallel_size=2, - # TODO(lk-chen): Enable PP after - # https://github.com/vllm-project/vllm/issues/20647 being fixed - pipeline_parallel_size=1, + pipeline_parallel_size=2, gpu_memory_utilization=0.92, dtype="auto", max_num_seqs=40, From 02b57a016bc7af45c197c9e8ffe6b1a071b31dbe Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Mon, 4 Aug 2025 19:20:05 +0000 Subject: [PATCH 0473/1566] [Core] Remove `RAY_LOG(ERROR` from LabelSelector and validate in `prepare_label_selector` (#52964) This PR is a follow-up to this comment: https://github.com/ray-project/ray/pull/51901#discussion_r2070835498. This PR changes the cluster resource scheduler to propagate a Ray status to `ComputeResources` in `TaskSpecification` when the LabelSelector data type is initialized. This allows a task built with a malformed label selector to return an error as a more useful Python exception rather than crashing Ray components in the C++. https://github.com/ray-project/ray/issues/51564 --------- Signed-off-by: Ryan O'Leary Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 9 +++++++- src/ray/common/scheduling/label_selector.cc | 14 +++---------- src/ray/common/test/label_selector_test.cc | 23 --------------------- 3 files changed, 11 insertions(+), 35 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index df9c71ddf6fc..1f994920f535 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -788,9 +788,16 @@ cdef int prepare_label_selector( for key, value in label_selector_dict.items(): if not isinstance(key, str): - raise ValueError(f"Label selector key must be string, but got {type(key)}") + raise ValueError(f"Label selector key type must be string, but got {type(key)}") if not isinstance(value, str): raise ValueError(f"Label selector value must be string, but got {type(value)}") + if key == "": + raise ValueError("Label selector key must be a non-empty string.") + if (value.startswith("in(") and value.endswith(")")) or \ + (value.startswith("!in(") and value.endswith(")")): + inner = value[value.index("(")+1:-1].strip() + if not inner: + raise ValueError(f"No values provided for Label Selector '{value[:value.index('(')]}' operator on key '{key}'.") label_selector[0][key.encode("utf-8")] = value.encode("utf-8") return 0 diff --git a/src/ray/common/scheduling/label_selector.cc b/src/ray/common/scheduling/label_selector.cc index 1f30175a4636..d68b2c0acd58 100644 --- a/src/ray/common/scheduling/label_selector.cc +++ b/src/ray/common/scheduling/label_selector.cc @@ -22,12 +22,10 @@ namespace ray { // Constructor to parse LabelSelector data type from proto. LabelSelector::LabelSelector( const google::protobuf::Map &label_selector) { + // Label selector keys and values are validated before construction in + // `prepare_label_selector`. + // https://github.com/ray-project/ray/blob/feb1c6180655b69fc64c5e0c25cc56cbe96e0b26/python/ray/_raylet.pyx#L782C1-L784C70 for (const auto &[key, value] : label_selector) { - if (key.empty()) { - // TODO (ryanaoleary@): propagate up an InvalidArgument from here. - RAY_LOG(ERROR) << "Empty Label Selector key."; - } - AddConstraint(key, value); } } @@ -77,12 +75,6 @@ LabelSelector::ParseLabelSelectorValue(const std::string &key, const std::string if (pos == std::string_view::npos) break; val.remove_prefix(pos + 1); } - - if (values.empty()) { - // TODO (ryanaoleary@): propagate up an InvalidArgument from here. - RAY_LOG(ERROR) << "No values provided for Label Selector key: " << key; - } - op = is_negated ? LabelSelectorOperator::LABEL_NOT_IN : LabelSelectorOperator::LABEL_IN; } else { diff --git a/src/ray/common/test/label_selector_test.cc b/src/ray/common/test/label_selector_test.cc index 638a34bd16d3..f30ad26caa05 100644 --- a/src/ray/common/test/label_selector_test.cc +++ b/src/ray/common/test/label_selector_test.cc @@ -81,27 +81,4 @@ TEST(LabelSelectorTest, SingleValueNotInParsing) { EXPECT_EQ(values.size(), 1); EXPECT_TRUE(values.contains("dev")); } - -TEST(LabelSelectorTest, ErrorLogsOnEmptyKey) { - google::protobuf::Map label_selector_dict; - label_selector_dict[""] = "value"; - - testing::internal::CaptureStderr(); - LabelSelector selector(label_selector_dict); - std::string stderr_output = testing::internal::GetCapturedStderr(); - - EXPECT_NE(stderr_output.find("Empty Label Selector key."), std::string::npos); -} - -TEST(LabelSelectorTest, ErrorLogsOnEmptyInList) { - LabelSelector selector; - - testing::internal::CaptureStderr(); - selector.AddConstraint("key", "in()"); - std::string stderr_output = testing::internal::GetCapturedStderr(); - - EXPECT_NE(stderr_output.find("No values provided for Label Selector key: key"), - std::string::npos); -} - } // namespace ray From 370cf9e1bf9d4c8c8e621ace8de0325cf95d76a5 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 4 Aug 2025 12:21:25 -0700 Subject: [PATCH 0474/1566] [core] Revamp GetAllNodeInfo to be more efficient and take multiple NodeID's (#55115) Needed for https://github.com/ray-project/ray/pull/55112 as GetAllNodeInfo needs to be able to take multiple node id's as arguments so you can get information for multiple nodes in one rpc to the GCS. Revamping the request here to make it make more sense with this model where you can select multiple nodes or get all nodes if you don't use any selectors. Also adding an "optimized path" where if all the selectors are just node id's, we can just do lookups in the map and add them to the reply instead of iterating through all of it. Also adding some extra tests for new behavior. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/includes/common.pxd | 2 +- python/ray/includes/gcs_client.pxi | 6 +- python/ray/util/state/state_manager.py | 17 +- src/mock/ray/gcs/gcs_client/accessor.h | 2 +- src/ray/gcs/gcs_client/accessor.cc | 13 +- src/ray/gcs/gcs_client/accessor.h | 9 +- .../gcs/gcs_client/global_state_accessor.cc | 36 ++-- src/ray/gcs/gcs_server/gcs_node_manager.cc | 164 ++++++++++-------- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- .../gcs_server/test/gcs_server_rpc_test.cc | 63 +++++-- .../gcs_server/test/gcs_server_test_util.h | 2 +- src/ray/protobuf/gcs_service.proto | 23 +-- .../rpc/test/core_worker_client_pool_test.cc | 22 +-- src/ray/rpc/worker/core_worker_client_pool.cc | 2 +- 14 files changed, 218 insertions(+), 145 deletions(-) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index b6a010a53aa9..f60efd9861d1 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -455,7 +455,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: void AsyncGetAll( const MultiItemPyCallback[CGcsNodeInfo] &callback, int64_t timeout_ms, - optional[CNodeID] node_id) + c_vector[CNodeID] node_ids) cdef cppclass CNodeResourceInfoAccessor "ray::gcs::NodeResourceInfoAccessor": CRayStatus GetAllResourceUsage( diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 7185833ff3ff..ebd488f34391 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -337,10 +337,10 @@ cdef class InnerGcsClient: ) -> Future[Dict[NodeID, gcs_pb2.GcsNodeInfo]]: cdef: int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - optional[CNodeID] c_node_id + c_vector[CNodeID] c_node_ids fut = incremented_fut() if node_id: - c_node_id = (node_id).native() + c_node_ids.push_back((node_id).native()) with nogil: self.inner.get().Nodes().AsyncGetAll( MultiItemPyCallback[CGcsNodeInfo]( @@ -348,7 +348,7 @@ cdef class InnerGcsClient: assign_and_decrement_fut, fut), timeout_ms, - c_node_id) + c_node_ids) return asyncio.wrap_future(fut) ############################################################# diff --git a/python/ray/util/state/state_manager.py b/python/ray/util/state/state_manager.py index aa31b015c64b..e012c6c283db 100644 --- a/python/ray/util/state/state_manager.py +++ b/python/ray/util/state/state_manager.py @@ -312,7 +312,8 @@ async def get_all_node_info( if filters is None: filters = [] - req_filters = GetAllNodeInfoRequest.Filters() + node_selectors = [] + state_filter = None for filter in filters: key, predicate, value = filter if predicate != "=": @@ -320,18 +321,24 @@ async def get_all_node_info( continue if key == "node_id": - req_filters.node_id = NodeID(hex_to_binary(value)).binary() + node_selector = GetAllNodeInfoRequest.NodeSelector() + node_selector.node_id = NodeID(hex_to_binary(value)).binary() + node_selectors.append(node_selector) elif key == "state": value = value.upper() if value not in GcsNodeInfo.GcsNodeState.keys(): raise ValueError(f"Invalid node state for filtering: {value}") - req_filters.state = GcsNodeInfo.GcsNodeState.Value(value) + state_filter = GcsNodeInfo.GcsNodeState.Value(value) elif key == "node_name": - req_filters.node_name = value + node_selector = GetAllNodeInfoRequest.NodeSelector() + node_selector.node_name = value + node_selectors.append(node_selector) else: continue - request = GetAllNodeInfoRequest(limit=limit, filters=req_filters) + request = GetAllNodeInfoRequest( + limit=limit, node_selectors=node_selectors, state_filter=state_filter + ) reply = await self._gcs_node_info_stub.GetAllNodeInfo(request, timeout=timeout) return reply diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index c513bdf68ac8..47d920125293 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -140,7 +140,7 @@ class MockNodeInfoAccessor : public NodeInfoAccessor { AsyncGetAll, (const MultiItemCallback &callback, int64_t timeout_ms, - std::optional node_id), + const std::vector &node_ids), (override)); MOCK_METHOD(void, AsyncSubscribeToNodeChange, diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 2235863e0cf5..726d932a9a7a 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -594,11 +594,11 @@ Status NodeInfoAccessor::DrainNodes(const std::vector &node_ids, void NodeInfoAccessor::AsyncGetAll(const MultiItemCallback &callback, int64_t timeout_ms, - std::optional node_id) { + const std::vector &node_ids) { RAY_LOG(DEBUG) << "Getting information of all nodes."; rpc::GetAllNodeInfoRequest request; - if (node_id) { - request.mutable_filters()->set_node_id(node_id->Binary()); + for (const auto &node_id : node_ids) { + request.add_node_selectors()->set_node_id(node_id.Binary()); } client_impl_->GetGcsRpcClient().GetAllNodeInfo( request, @@ -683,9 +683,12 @@ Status NodeInfoAccessor::GetAllNoCache(int64_t timeout_ms, } StatusOr> NodeInfoAccessor::GetAllNoCacheWithFilters( - int64_t timeout_ms, rpc::GetAllNodeInfoRequest_Filters filters) { + int64_t timeout_ms, + rpc::GcsNodeInfo::GcsNodeState state_filter, + rpc::GetAllNodeInfoRequest::NodeSelector node_selector) { rpc::GetAllNodeInfoRequest request; - *request.mutable_filters() = std::move(filters); + *request.add_node_selectors() = std::move(node_selector); + request.set_state_filter(state_filter); rpc::GetAllNodeInfoReply reply; RAY_RETURN_NOT_OK( client_impl_->GetGcsRpcClient().SyncGetAllNodeInfo(request, &reply, timeout_ms)); diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index a76afae03f17..b8c7d9b24c1d 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -349,10 +349,11 @@ class NodeInfoAccessor { /// /// \param callback Callback that will be called after lookup finishes. /// \param timeout_ms The timeout for this request. - /// \param node_id If not nullopt, only return the node info of the specified node. + /// \param node_ids If this is not empty, only return the node info of the specified + /// nodes. virtual void AsyncGetAll(const MultiItemCallback &callback, int64_t timeout_ms, - std::optional node_id = std::nullopt); + const std::vector &node_ids = {}); /// Subscribe to node addition and removal events from GCS and cache those information. /// @@ -393,7 +394,9 @@ class NodeInfoAccessor { /// /// \return All nodes that match the given filters from the gcs without the cache. virtual StatusOr> GetAllNoCacheWithFilters( - int64_t timeout_ms, rpc::GetAllNodeInfoRequest_Filters filters); + int64_t timeout_ms, + rpc::GcsNodeInfo::GcsNodeState state_filter, + rpc::GetAllNodeInfoRequest::NodeSelector node_selector); /// Send a check alive request to GCS for the liveness of some nodes. /// diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index f0337c30cf06..40b7a4174407 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -408,16 +408,15 @@ ray::Status GlobalStateAccessor::GetNode(const std::string &node_id_hex_str, std::vector node_infos; while (true) { - rpc::GetAllNodeInfoRequest_Filters filters; - filters.set_state(rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_ALIVE); - filters.set_node_id(node_id_binary); + rpc::GetAllNodeInfoRequest::NodeSelector selector; + selector.set_node_id(node_id_binary); { absl::ReaderMutexLock lock(&mutex_); auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); - RAY_ASSIGN_OR_RETURN( - node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters(timeout_ms, std::move(filters))); + RAY_ASSIGN_OR_RETURN(node_infos, + gcs_client_->Nodes().GetAllNoCacheWithFilters( + timeout_ms, rpc::GcsNodeInfo::ALIVE, std::move(selector))); } if (!node_infos.empty()) { *node_info = node_infos[0].SerializeAsString(); @@ -442,16 +441,16 @@ ray::Status GlobalStateAccessor::GetNodeToConnectForDriver( current_time_ms() + RayConfig::instance().raylet_start_wait_time_s() * 1000; std::vector node_infos; - rpc::GetAllNodeInfoRequest_Filters filters; - filters.set_state(rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_ALIVE); - filters.set_node_ip_address(node_ip_address); + rpc::GetAllNodeInfoRequest::NodeSelector selector; + selector.set_node_ip_address(node_ip_address); while (true) { { absl::ReaderMutexLock lock(&mutex_); auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); - RAY_ASSIGN_OR_RETURN( - node_infos, gcs_client_->Nodes().GetAllNoCacheWithFilters(timeout_ms, filters)); + RAY_ASSIGN_OR_RETURN(node_infos, + gcs_client_->Nodes().GetAllNoCacheWithFilters( + timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } if (!node_infos.empty()) { *node_to_connect = node_infos[0].SerializeAsString(); @@ -464,22 +463,23 @@ ray::Status GlobalStateAccessor::GetNodeToConnectForDriver( auto [address, _] = gcs_client_->GetGcsServerAddress(); gcs_address = std::move(address); } - filters.set_node_ip_address(gcs_address); + selector.set_node_ip_address(gcs_address); { absl::ReaderMutexLock lock(&mutex_); auto timeout_ms = end_time_point - current_time_ms(); - RAY_ASSIGN_OR_RETURN( - node_infos, gcs_client_->Nodes().GetAllNoCacheWithFilters(timeout_ms, filters)); + RAY_ASSIGN_OR_RETURN(node_infos, + gcs_client_->Nodes().GetAllNoCacheWithFilters( + timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } if (node_infos.empty() && node_ip_address == gcs_address) { - filters.set_node_ip_address("127.0.0.1"); + selector.set_node_ip_address("127.0.0.1"); { absl::ReaderMutexLock lock(&mutex_); auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); - RAY_ASSIGN_OR_RETURN( - node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters(timeout_ms, filters)); + RAY_ASSIGN_OR_RETURN(node_infos, + gcs_client_->Nodes().GetAllNoCacheWithFilters( + timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } } if (!node_infos.empty()) { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index e6556066dabd..afbcb295cca6 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -23,7 +23,6 @@ #include "ray/common/ray_config.h" #include "ray/gcs/pb_util.h" -#include "ray/stats/stats.h" #include "ray/util/event.h" #include "ray/util/logging.h" #include "src/ray/protobuf/gcs.pb.h" @@ -41,13 +40,11 @@ GcsNodeManager::GcsNodeManager(GcsPublisher *gcs_publisher, gcs_table_storage_(gcs_table_storage), io_context_(io_context), raylet_client_pool_(raylet_client_pool), - cluster_id_(cluster_id) { - export_event_write_enabled_ = IsExportAPIEnabledNode(); -} + cluster_id_(cluster_id), + export_event_write_enabled_(IsExportAPIEnabledNode()) {} -void GcsNodeManager::WriteNodeExportEvent(rpc::GcsNodeInfo node_info) const { - /// Write node_info as a export node event if - /// enable_export_api_write() is enabled. +void GcsNodeManager::WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info) const { + /// Write node_info as a export node event if enable_export_api_write() is enabled. if (!export_event_write_enabled_) { return; } @@ -170,7 +167,7 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, node_info_delta->set_state(node->state()); node_info_delta->set_end_time_ms(node->end_time_ms()); - auto on_put_done = [=](const Status &status) { + auto on_put_done = [this, node_id, node_info_delta, node](const Status &status) { RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta, nullptr)); WriteNodeExportEvent(*node); }; @@ -202,13 +199,12 @@ void GcsNodeManager::DrainNode(const NodeID &node_id) { RAY_LOG(WARNING).WithField(node_id) << "Skip draining node which is already removed"; return; } - auto node = maybe_node.value(); + auto &node = maybe_node.value(); // Set the address. auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( node_id, node->node_manager_address(), node->node_manager_port()); - auto raylet_client = - raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); + auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); RAY_CHECK(raylet_client); // NOTE(sang): Drain API is not supposed to kill the raylet, but we are doing // this until the proper "drain" behavior is implemented. @@ -225,71 +221,92 @@ void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, rpc::SendReplyCallback send_reply_callback) { int64_t limit = (request.limit() > 0) ? request.limit() : std::numeric_limits::max(); - std::optional filter_node_id = - request.filters().has_node_id() - ? std::make_optional(NodeID::FromBinary(request.filters().node_id())) - : std::nullopt; - std::optional filter_node_name = - request.filters().has_node_name() - ? std::make_optional(request.filters().node_name()) - : std::nullopt; - std::optional filter_node_ip_address = - request.filters().has_node_ip_address() - ? std::make_optional(request.filters().node_ip_address()) - : std::nullopt; - auto filter_fn = [&filter_node_id, &filter_node_name, &filter_node_ip_address]( - const rpc::GcsNodeInfo &node) { - if (filter_node_id.has_value() && - *filter_node_id != NodeID::FromBinary(node.node_id())) { - return false; - } - if (filter_node_name.has_value() && *filter_node_name != node.node_name()) { - return false; + absl::flat_hash_set node_ids; + absl::flat_hash_set node_names; + absl::flat_hash_set node_ip_addresses; + bool only_node_id_filters = true; + for (auto &selector : *request.mutable_node_selectors()) { + switch (selector.node_selector_case()) { + case rpc::GetAllNodeInfoRequest_NodeSelector::kNodeId: + node_ids.insert(NodeID::FromBinary(selector.node_id())); + break; + case rpc::GetAllNodeInfoRequest_NodeSelector::kNodeName: + node_names.insert(std::move(*selector.mutable_node_name())); + only_node_id_filters = false; + break; + case rpc::GetAllNodeInfoRequest_NodeSelector::kNodeIpAddress: + node_ip_addresses.insert(std::move(*selector.mutable_node_ip_address())); + only_node_id_filters = false; + break; + case rpc::GetAllNodeInfoRequest_NodeSelector::NODE_SELECTOR_NOT_SET: + continue; } - if (filter_node_ip_address.has_value() && - *filter_node_ip_address != node.node_manager_address()) { - return false; - } - return true; - }; + } + const size_t total_num_nodes = alive_nodes_.size() + dead_nodes_.size(); int64_t num_added = 0; - int64_t num_filtered = 0; + + if (request.node_selectors_size() > 0 && only_node_id_filters) { + // optimized path if request only wants specific node ids + for (const auto &node_id : node_ids) { + if (!request.has_state_filter() || + request.state_filter() == rpc::GcsNodeInfo::ALIVE) { + auto iter = alive_nodes_.find(node_id); + if (iter != alive_nodes_.end()) { + *reply->add_node_info_list() = *iter->second; + ++num_added; + } + } + if (!request.has_state_filter() || + request.state_filter() == rpc::GcsNodeInfo::DEAD) { + auto iter = dead_nodes_.find(node_id); + if (iter != dead_nodes_.end()) { + *reply->add_node_info_list() = *iter->second; + ++num_added; + } + } + } + reply->set_total(total_num_nodes); + reply->set_num_filtered(total_num_nodes - num_added); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); + ++counts_[CountType::GET_ALL_NODE_INFO_REQUEST]; + return; + } + + const bool has_node_selectors = request.node_selectors_size() > 0; auto add_to_response = - [limit, reply, filter_fn, &num_added, &num_filtered]( - const absl::flat_hash_map> &nodes) { + [&](const absl::flat_hash_map> &nodes) { for (const auto &[node_id, node_info_ptr] : nodes) { if (num_added >= limit) { break; } - if (filter_fn(*node_info_ptr)) { + if (!has_node_selectors || node_ids.contains(node_id) || + node_names.contains(node_info_ptr->node_name()) || + node_ip_addresses.contains(node_info_ptr->node_manager_address())) { *reply->add_node_info_list() = *node_info_ptr; num_added += 1; - } else { - num_filtered += 1; } } }; - std::optional filter_state = - request.filters().has_state() ? std::make_optional(request.filters().state()) - : std::nullopt; - if (filter_state == std::nullopt) { - add_to_response(alive_nodes_); - add_to_response(dead_nodes_); - } else if (filter_state == rpc::GcsNodeInfo::ALIVE) { + + if (request.has_state_filter()) { + switch (request.state_filter()) { + case rpc::GcsNodeInfo::ALIVE: + add_to_response(alive_nodes_); + break; + case rpc::GcsNodeInfo::DEAD: + add_to_response(dead_nodes_); + break; + default: + RAY_LOG(ERROR) << "Unexpected state filter: " << request.state_filter(); + break; + } + } else { add_to_response(alive_nodes_); - num_filtered += dead_nodes_.size(); - } else if (filter_state == rpc::GcsNodeInfo::DEAD) { add_to_response(dead_nodes_); - num_filtered += alive_nodes_.size(); - } else { - Status s = Status::InvalidArgument( - absl::StrCat("Unexpected filter: state = ", *filter_state)); - GCS_RPC_SEND_REPLY(send_reply_callback, reply, s); - ++counts_[CountType::GET_ALL_NODE_INFO_REQUEST]; - return; } - reply->set_total(alive_nodes_.size() + dead_nodes_.size()); - reply->set_num_filtered(num_filtered); + + reply->set_total(total_num_nodes); + reply->set_num_filtered(total_num_nodes - reply->node_info_list_size()); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); ++counts_[CountType::GET_ALL_NODE_INFO_REQUEST]; } @@ -336,8 +353,6 @@ void GcsNodeManager::AddNode(std::shared_ptr node) { auto node_id = NodeID::FromBinary(node->node_id()); auto iter = alive_nodes_.find(node_id); if (iter == alive_nodes_.end()) { - auto node_addr = - node->node_manager_address() + ":" + std::to_string(node->node_manager_port()); alive_nodes_.emplace(node_id, node); // Notify all listeners. for (auto &listener : node_added_listeners_) { @@ -396,14 +411,14 @@ std::shared_ptr GcsNodeManager::RemoveNode( // TODO(rkn): Define this constant somewhere else. std::string type = "node_removed"; std::ostringstream error_message; - error_message - << "The node with node id: " << node_id - << " and address: " << removed_node->node_manager_address() - << " and node name: " << removed_node->node_name() - << " has been marked dead because the detector" - << " has missed too many heartbeats from it. This can happen when a " - "\t(1) raylet crashes unexpectedly (OOM, etc.) \n" - << "\t(2) raylet has lagging heartbeats due to slow network or busy workload."; + error_message << "The node with node id: " << node_id + << " and address: " << removed_node->node_manager_address() + << " and node name: " << removed_node->node_name() + << " has been marked dead because the detector" + << " has missed too many heartbeats from it. This can happen when a " + "\t(1) raylet crashes unexpectedly (OOM, etc.) \n" + << "\t(2) raylet has lagging heartbeats due to slow network or busy " + "workload."; RAY_EVENT(ERROR, "RAY_NODE_REMOVED") .WithField("node_id", node_id.Hex()) .WithField("ip", removed_node->node_manager_address()) @@ -467,8 +482,7 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { // registeration failure. auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( node_id, node_info.node_manager_address(), node_info.node_manager_port()); - auto raylet_client = - raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); + auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); raylet_client->NotifyGCSRestart(nullptr); } else if (node_info.state() == rpc::GcsNodeInfo::DEAD) { dead_nodes_.emplace(node_id, std::make_shared(node_info)); @@ -484,8 +498,8 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { void GcsNodeManager::AddDeadNodeToCache(std::shared_ptr node) { if (dead_nodes_.size() >= RayConfig::instance().maximum_gcs_dead_node_cached_count()) { const auto &node_id = sorted_dead_node_list_.front().first; - RAY_CHECK_OK( - gcs_table_storage_->NodeTable().Delete(node_id, {[](auto) {}, io_context_})); + RAY_CHECK_OK(gcs_table_storage_->NodeTable().Delete( + node_id, {[](const auto &) {}, io_context_})); dead_nodes_.erase(sorted_dead_node_list_.front().first); sorted_dead_node_list_.pop_front(); } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 65a34aa98310..87084a0f4b38 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -193,7 +193,7 @@ class GcsNodeManager : public rpc::NodeInfoHandler { /// \return The inferred death info of the node. rpc::NodeDeathInfo InferDeathInfo(const NodeID &node_id); - void WriteNodeExportEvent(rpc::GcsNodeInfo node_info) const; + void WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info) const; // Verify if export events should be written for EXPORT_NODE source types bool IsExportAPIEnabledNode() const { diff --git a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc index e7387e150583..38bf42a059dc 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc @@ -337,20 +337,21 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { ASSERT_EQ(reply.total(), 3); } { - // Get by node id + // Get 2 by node id rpc::GetAllNodeInfoRequest request; - request.mutable_filters()->set_node_id(node1->node_id()); + request.add_node_selectors()->set_node_id(node1->node_id()); + request.add_node_selectors()->set_node_id(node2->node_id()); rpc::GetAllNodeInfoReply reply; RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); - ASSERT_EQ(reply.node_info_list_size(), 1); - ASSERT_EQ(reply.num_filtered(), 2); + ASSERT_EQ(reply.node_info_list_size(), 2); + ASSERT_EQ(reply.num_filtered(), 1); ASSERT_EQ(reply.total(), 3); } { // Get by state == ALIVE rpc::GetAllNodeInfoRequest request; - request.mutable_filters()->set_state(rpc::GcsNodeInfo::ALIVE); + request.set_state_filter(rpc::GcsNodeInfo::ALIVE); rpc::GetAllNodeInfoReply reply; RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); @@ -362,7 +363,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { { // Get by state == DEAD rpc::GetAllNodeInfoRequest request; - request.mutable_filters()->set_state(rpc::GcsNodeInfo::DEAD); + request.set_state_filter(rpc::GcsNodeInfo::DEAD); rpc::GetAllNodeInfoReply reply; RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); @@ -372,24 +373,64 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { } { - // Get by node_name + // Get 2 by node_name rpc::GetAllNodeInfoRequest request; - request.mutable_filters()->set_node_name("node1"); + request.add_node_selectors()->set_node_name("node1"); + request.add_node_selectors()->set_node_name("node2"); rpc::GetAllNodeInfoReply reply; RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + ASSERT_EQ(reply.node_info_list_size(), 2); + ASSERT_EQ(reply.num_filtered(), 1); + ASSERT_EQ(reply.total(), 3); + } + + { + // Get 2 by node_ip_address + rpc::GetAllNodeInfoRequest request; + request.add_node_selectors()->set_node_ip_address("127.0.0.1"); + request.add_node_selectors()->set_node_ip_address("127.0.0.2"); + rpc::GetAllNodeInfoReply reply; + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + + ASSERT_EQ(reply.node_info_list_size(), 2); + ASSERT_EQ(reply.num_filtered(), 1); + ASSERT_EQ(reply.total(), 3); + } + + { + // Get 2 by node_id and node_name + rpc::GetAllNodeInfoRequest request; + request.add_node_selectors()->set_node_id(node1->node_id()); + request.add_node_selectors()->set_node_name("node2"); + rpc::GetAllNodeInfoReply reply; + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + ASSERT_EQ(reply.node_info_list_size(), 2); + ASSERT_EQ(reply.num_filtered(), 1); + ASSERT_EQ(reply.total(), 3); + } + + { + // Get by node_id and state filter + rpc::GetAllNodeInfoRequest request; + request.add_node_selectors()->set_node_id(node1->node_id()); + request.add_node_selectors()->set_node_id(node3->node_id()); + request.set_state_filter(rpc::GcsNodeInfo::ALIVE); + rpc::GetAllNodeInfoReply reply; + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); ASSERT_EQ(reply.node_info_list_size(), 1); ASSERT_EQ(reply.num_filtered(), 2); ASSERT_EQ(reply.total(), 3); } { - // Get by node_ip_address + // Get by node_id, node_name and state filter rpc::GetAllNodeInfoRequest request; - request.mutable_filters()->set_node_ip_address("127.0.0.1"); + request.add_node_selectors()->set_node_id(node1->node_id()); + request.add_node_selectors()->set_node_name("node3"); + request.set_state_filter(rpc::GcsNodeInfo::DEAD); rpc::GetAllNodeInfoReply reply; RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); - ASSERT_EQ(reply.node_info_list_size(), 1); ASSERT_EQ(reply.num_filtered(), 2); ASSERT_EQ(reply.total(), 3); diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index 586683fa913d..c530d76f285e 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -405,7 +405,7 @@ struct GcsServerMocker { void AsyncGetAll(const gcs::MultiItemCallback &callback, int64_t timeout_ms, - std::optional node_id = std::nullopt) override { + const std::vector &node_ids = {}) override { if (callback) { callback(Status::OK(), {}); } diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 090a21c226d3..d0c69395ed4c 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -226,21 +226,24 @@ message UnregisterNodeReply { } message GetAllNodeInfoRequest { - // Filter object where predicates are AND together. - message Filters { - optional bytes node_id = 1; - optional GcsNodeInfo.GcsNodeState state = 2; - optional string node_name = 3; - optional string node_ip_address = 4; + message NodeSelector { + oneof node_selector { + bytes node_id = 1; + string node_name = 2; + string node_ip_address = 3; + } } // Maximum number to return. - // If set, the exact `limit` returned do not have any ordering or selection + // If set, the exact `limit` returned does not have any ordering or selection // guarantee. - optional int64 limit = 3; + optional int64 limit = 1; - // Filters to apply to the get query. - optional Filters filters = 4; + // Filters out specific nodes. + repeated NodeSelector node_selectors = 2; + + // Filter out for a specific state. + optional GcsNodeInfo.GcsNodeState state_filter = 3; } message GetAllNodeInfoReply { diff --git a/src/ray/rpc/test/core_worker_client_pool_test.cc b/src/ray/rpc/test/core_worker_client_pool_test.cc index 90fa0015fd5f..15bb4217e225 100644 --- a/src/ray/rpc/test/core_worker_client_pool_test.cc +++ b/src/ray/rpc/test/core_worker_client_pool_test.cc @@ -94,7 +94,7 @@ class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { AsyncGetAll, (const gcs::MultiItemCallback &, int64_t, - std::optional), + const std::vector &), (override)); private: @@ -152,7 +152,7 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { return Invoke( [node_info_vector](const gcs::MultiItemCallback &callback, int64_t, - std::optional) { + const std::vector &) { callback(Status::OK(), node_info_vector); }); }; @@ -179,21 +179,21 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { .WillOnce(Return(&node_info_alive)) .WillOnce(Return(&node_info_dead)); EXPECT_CALL(mock_node_accessor, - AsyncGetAll(_, _, std::make_optional(worker_1_node_id))) + AsyncGetAll(_, _, std::vector{worker_1_node_id})) .WillOnce(invoke_with_node_info_vector({node_info_alive})); EXPECT_CALL(mock_node_accessor, Get(worker_2_node_id, /*filter_dead_nodes=*/false)) .WillOnce(Return(nullptr)); EXPECT_CALL(mock_node_accessor, - AsyncGetAll(_, _, std::make_optional(worker_2_node_id))) + AsyncGetAll(_, _, std::vector{worker_2_node_id})) .WillOnce(invoke_with_node_info_vector({})); } else { EXPECT_CALL(mock_node_accessor, - AsyncGetAll(_, _, std::make_optional(worker_1_node_id))) + AsyncGetAll(_, _, std::vector{worker_1_node_id})) .WillOnce(invoke_with_node_info_vector({node_info_alive})) .WillOnce(invoke_with_node_info_vector({node_info_alive})) .WillOnce(invoke_with_node_info_vector({node_info_dead})); EXPECT_CALL(mock_node_accessor, - AsyncGetAll(_, _, std::make_optional(worker_2_node_id))) + AsyncGetAll(_, _, std::vector{worker_2_node_id})) .WillOnce(invoke_with_node_info_vector({})); } @@ -239,10 +239,12 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { } else { EXPECT_CALL(gcs_client_.MockNodeAccessor(), AsyncGetAll(_, _, _)) .Times(2) - .WillRepeatedly(Invoke( - [&](const gcs::MultiItemCallback &callback, - int64_t, - std::optional) { callback(Status::OK(), {node_info_alive}); })); + .WillRepeatedly( + Invoke([&](const gcs::MultiItemCallback &callback, + int64_t, + const std::vector &) { + callback(Status::OK(), {node_info_alive}); + })); } auto raylet_client = std::dynamic_pointer_cast( diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 0b7d794e63cc..7322fb293234 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -86,7 +86,7 @@ std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback check_worker_alive(nodes[0]); }, -1, - node_id); + {node_id}); }; if (gcs_client->Nodes().IsSubscribedToNodeChange()) { From 5c83ebb39ab23ad105309d1ec88b0ffe3dcc936d Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 4 Aug 2025 15:08:17 -0500 Subject: [PATCH 0475/1566] [core] Rename `NotifyUnblocked` to `CancelGetRequest` (#55081) The `NotifyUnblocked` naming is legacy from before Ray 1.0. Also removed `task_id` from various places that we didn't need it. Note there is an ongoing bugfix to cancel only the specific get request instead of all requests for the worker: https://github.com/ray-project/ray/pull/54495 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../store_provider/plasma_store_provider.cc | 15 ++- src/ray/raylet/format/node_manager.fbs | 13 +-- src/ray/raylet/node_manager.cc | 91 ++++++------------- src/ray/raylet/node_manager.h | 40 +++----- src/ray/raylet_client/raylet_client.cc | 23 ++--- src/ray/raylet_client/raylet_client.h | 12 +-- 6 files changed, 65 insertions(+), 129 deletions(-) diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index e700aa55627b..6cabbdc780be 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -184,8 +184,8 @@ Status CoreWorkerPlasmaStoreProvider::FetchAndGetFromPlasmaStore( absl::flat_hash_map> *results, bool *got_exception) { const auto owner_addresses = reference_counter_.GetOwnerAddresses(batch_ids); - RAY_RETURN_NOT_OK(raylet_client_->FetchOrReconstruct( - batch_ids, owner_addresses, fetch_only, task_id)); + RAY_RETURN_NOT_OK( + raylet_client_->FetchOrReconstruct(batch_ids, owner_addresses, fetch_only)); std::vector plasma_results; RAY_RETURN_NOT_OK(store_client_->Get(batch_ids, @@ -273,7 +273,7 @@ Status UnblockIfNeeded(const std::shared_ptr &client, return Status::OK(); // We don't need to release resources. } } else { - return client->NotifyUnblocked(ctx.GetCurrentTaskID()); + return client->CancelGetRequest(); } } @@ -403,12 +403,9 @@ Status CoreWorkerPlasmaStoreProvider::Wait( } const auto owner_addresses = reference_counter_.GetOwnerAddresses(id_vector); - RAY_ASSIGN_OR_RETURN(ready_in_plasma, - raylet_client_->Wait(id_vector, - owner_addresses, - num_objects, - call_timeout, - ctx.GetCurrentTaskID())); + RAY_ASSIGN_OR_RETURN( + ready_in_plasma, + raylet_client_->Wait(id_vector, owner_addresses, num_objects, call_timeout)); if (ready_in_plasma.size() >= static_cast(num_objects)) { should_break = true; diff --git a/src/ray/raylet/format/node_manager.fbs b/src/ray/raylet/format/node_manager.fbs index 68b331f67dfe..5efb0412396b 100644 --- a/src/ray/raylet/format/node_manager.fbs +++ b/src/ray/raylet/format/node_manager.fbs @@ -49,9 +49,8 @@ enum MessageType:int { // Reconstruct or fetch possibly lost objects. This is sent from a worker to // a raylet. FetchOrReconstruct, - // For a worker that was blocked on some object(s), tell the raylet - // that the worker is now unblocked. This is sent from a worker to a raylet. - NotifyUnblocked, + // Cancel outstanding get requests from the worker. + CancelGetRequest, // Notify the current worker is blocked. This is only used by direct task calls; // otherwise the block command is piggybacked on other messages. NotifyDirectCallTaskBlocked, @@ -176,13 +175,9 @@ table FetchOrReconstruct { owner_addresses: [Address]; // Do we only want to fetch the objects or also reconstruct them? fetch_only: bool; - // The current task ID. - task_id: string; } -table NotifyUnblocked { - // The current task ID. This task is no longer blocked. - task_id: string; +table CancelGetRequest { } table NotifyDirectCallTaskBlocked { @@ -201,8 +196,6 @@ table WaitRequest { num_required_objects: int; // timeout timeout: long; - // The current task ID. - task_id: string; } table WaitReply { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index b1117d507705..7170dcd3ce1a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1043,11 +1043,8 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & case protocol::MessageType::NotifyDirectCallTaskUnblocked: { HandleDirectCallTaskUnblocked(registered_worker); } break; - case protocol::MessageType::NotifyUnblocked: { - // TODO(ekl) this is still used from core worker even in direct call mode to - // finish up get requests. - auto message = flatbuffers::GetRoot(message_data); - AsyncResolveObjectsFinish(client, from_flatbuf(*message->task_id())); + case protocol::MessageType::CancelGetRequest: { + CancelGetRequest(client); } break; case protocol::MessageType::WaitRequest: { ProcessWaitRequestMessage(client, message_data); @@ -1492,11 +1489,9 @@ void NodeManager::ProcessFetchOrReconstructMessage( // subscribe to in the task dependency manager. These objects will be // pulled from remote node managers. If an object's owner dies, an error // will be stored as the object's value. - const TaskID task_id = from_flatbuf(*message->task_id()); - AsyncResolveObjects(client, - refs, - task_id, - /*ray_get=*/true); + AsyncGetOrWait(client, + refs, + /*is_get_request=*/true); } } @@ -1508,28 +1503,24 @@ void NodeManager::ProcessWaitRequestMessage( const auto refs = FlatbufferToObjectReference(*message->object_ids(), *message->owner_addresses()); - bool resolve_objects = false; + bool all_objects_local = true; for (auto const &object_id : object_ids) { if (!dependency_manager_.CheckObjectLocal(object_id)) { - // At least one object requires resolution. - resolve_objects = true; + all_objects_local = false; } } - const TaskID ¤t_task_id = from_flatbuf(*message->task_id()); - if (resolve_objects) { + if (!all_objects_local) { // Resolve any missing objects. This is a no-op for any objects that are // already local. Missing objects will be pulled from remote node managers. // If an object's owner dies, an error will be stored as the object's // value. - AsyncResolveObjects(client, - refs, - current_task_id, - /*ray_get=*/false); + AsyncGetOrWait(client, refs, /*is_get_request=*/false); } + if (message->num_required_objects() == 0) { // If we don't need to wait for any, return immediately after making the pull - // requests through AsyncResolveObjects above. + // requests through AsyncGetOrWait above. flatbuffers::FlatBufferBuilder fbb; auto wait_reply = protocol::CreateWaitReply(fbb, to_flatbuf(fbb, std::vector{}), @@ -1539,11 +1530,7 @@ void NodeManager::ProcessWaitRequestMessage( client->WriteMessage(static_cast(protocol::MessageType::WaitReply), fbb.GetSize(), fbb.GetBufferPointer()); - if (status.ok()) { - if (resolve_objects) { - AsyncResolveObjectsFinish(client, current_task_id); - } - } else { + if (!status.ok()) { // We failed to write to the client, so disconnect the client. std::ostringstream stream; stream << "Failed to write WaitReply to the client. Status " << status; @@ -1557,8 +1544,8 @@ void NodeManager::ProcessWaitRequestMessage( object_ids, message->timeout(), num_required_objects, - [this, resolve_objects, client, current_task_id](std::vector ready, - std::vector remaining) { + [this, client, all_objects_local](std::vector ready, + std::vector remaining) { // Write the data. flatbuffers::FlatBufferBuilder fbb; flatbuffers::Offset wait_reply = protocol::CreateWaitReply( @@ -1570,10 +1557,8 @@ void NodeManager::ProcessWaitRequestMessage( fbb.GetSize(), fbb.GetBufferPointer()); if (status.ok()) { - // The client is unblocked now because the wait call has - // returned. - if (resolve_objects) { - AsyncResolveObjectsFinish(client, current_task_id); + if (!all_objects_local) { + CancelGetRequest(client); } } else { // We failed to write to the client, so disconnect the client. @@ -1589,19 +1574,14 @@ void NodeManager::ProcessWaitRequestMessage( void NodeManager::ProcessWaitForActorCallArgsRequestMessage( const std::shared_ptr &client, const uint8_t *message_data) { - // Read the data. auto message = flatbuffers::GetRoot(message_data); std::vector object_ids = from_flatbuf(*message->object_ids()); int64_t tag = message->tag(); - // Resolve any missing objects. This will pull the objects from remote node - // managers or store an error if the objects have failed. + // Pull any missing objects to the local node. const auto refs = FlatbufferToObjectReference(*message->object_ids(), *message->owner_addresses()); - AsyncResolveObjects(client, - refs, - TaskID::Nil(), - /*ray_get=*/false); + AsyncGetOrWait(client, refs, /*is_get_request=*/false); // De-duplicate the object IDs. absl::flat_hash_set object_id_set(object_ids.begin(), object_ids.end()); object_ids.assign(object_id_set.begin(), object_id_set.end()); @@ -2096,44 +2076,31 @@ void NodeManager::HandleDirectCallTaskUnblocked( } } -void NodeManager::AsyncResolveObjects( - const std::shared_ptr &client, - const std::vector &required_object_refs, - const TaskID ¤t_task_id, - bool ray_get) { +void NodeManager::AsyncGetOrWait(const std::shared_ptr &client, + const std::vector &object_refs, + bool is_get_request) { std::shared_ptr worker = worker_pool_.GetRegisteredWorker(client); if (!worker) { - // The client is a driver. Drivers do not hold resources, so we simply mark - // the task as blocked. worker = worker_pool_.GetRegisteredDriver(client); } - RAY_CHECK(worker); - // Subscribe to the objects required by the task. These objects will be - // fetched and/or restarted as necessary, until the objects become local - // or are unsubscribed. - if (ray_get) { - dependency_manager_.StartOrUpdateGetRequest(worker->WorkerId(), required_object_refs); + + // Start an async request to get or wait for the objects. + // The objects will be fetched locally unless the get or wait request is canceled. + if (is_get_request) { + dependency_manager_.StartOrUpdateGetRequest(worker->WorkerId(), object_refs); } else { - dependency_manager_.StartOrUpdateWaitRequest(worker->WorkerId(), - required_object_refs); + dependency_manager_.StartOrUpdateWaitRequest(worker->WorkerId(), object_refs); } } -void NodeManager::AsyncResolveObjectsFinish( - const std::shared_ptr &client, const TaskID ¤t_task_id) { +void NodeManager::CancelGetRequest(const std::shared_ptr &client) { std::shared_ptr worker = worker_pool_.GetRegisteredWorker(client); if (!worker) { - // The client is a driver. Drivers do not hold resources, so we simply - // mark the driver as unblocked. worker = worker_pool_.GetRegisteredDriver(client); } - RAY_CHECK(worker); - // Unsubscribe from any `ray.get` objects that the task was blocked on. Any - // fetch or reconstruction operations to make the objects local are canceled. - // `ray.wait` calls will stay active until the objects become local, or the - // task/actor that called `ray.wait` exits. + dependency_manager_.CancelGetRequest(worker->WorkerId()); } diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 3bf0989279b0..9464ba0bce0d 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -372,32 +372,22 @@ class NodeManager : public rpc::NodeManagerServiceHandler, void FinishAssignedActorCreationTask(const std::shared_ptr &worker, const RayTask &task); - /// Handle blocking gets of objects. This could be a task assigned to a worker, - /// an out-of-band task (e.g., a thread created by the application), or a - /// driver task. This can be triggered when a client starts a get call or a - /// wait call. - /// - /// \param client The client that is executing the blocked task. - /// \param required_object_refs The objects that the client is blocked waiting for. - /// \param current_task_id The task that is blocked. - /// \param ray_get Whether the task is blocked in a `ray.get` call. - /// \return Void. - void AsyncResolveObjects(const std::shared_ptr &client, - const std::vector &required_object_refs, - const TaskID ¤t_task_id, - bool ray_get); - - /// Handle end of a blocking object get. This could be a task assigned to a - /// worker, an out-of-band task (e.g., a thread created by the application), - /// or a driver task. This can be triggered when a client finishes a get call - /// or a wait call. The given task must be blocked, via a previous call to - /// AsyncResolveObjects. - /// - /// \param client The client that is executing the unblocked task. - /// \param current_task_id The task that is unblocked. + /// Start a get or wait request for the requested objects. + /// + /// \param client The client that is requesting the objects. + /// \param object_refs The objects that are requested. + /// \param is_get_request If this is a get request, else it's a wait request. /// \return Void. - void AsyncResolveObjectsFinish(const std::shared_ptr &client, - const TaskID ¤t_task_id); + void AsyncGetOrWait(const std::shared_ptr &client, + const std::vector &object_refs, + bool is_get_request); + + /// Cancel all ongoing get requests from the client. + /// + /// This does *not* cancel ongoing wait requests. + /// + /// \param client The client whose get requests will be canceled. + void CancelGetRequest(const std::shared_ptr &client); /// Handle a task that is blocked. Note that this callback may /// arrive after the worker lease has been returned to the node manager. diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index be42875e1744..2a96b4152fcd 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -137,26 +137,21 @@ Status RayletClient::ActorCreationTaskDone() { Status RayletClient::FetchOrReconstruct(const std::vector &object_ids, const std::vector &owner_addresses, - bool fetch_only, - const TaskID ¤t_task_id) { + bool fetch_only) { RAY_CHECK(object_ids.size() == owner_addresses.size()); flatbuffers::FlatBufferBuilder fbb; auto object_ids_message = to_flatbuf(fbb, object_ids); - auto message = - protocol::CreateFetchOrReconstruct(fbb, - object_ids_message, - AddressesToFlatbuffer(fbb, owner_addresses), - fetch_only, - to_flatbuf(fbb, current_task_id)); + auto message = protocol::CreateFetchOrReconstruct( + fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses), fetch_only); fbb.Finish(message); return conn_->WriteMessage(MessageType::FetchOrReconstruct, &fbb); } -Status RayletClient::NotifyUnblocked(const TaskID ¤t_task_id) { +Status RayletClient::CancelGetRequest() { flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateNotifyUnblocked(fbb, to_flatbuf(fbb, current_task_id)); + auto message = protocol::CreateCancelGetRequest(fbb); fbb.Finish(message); - return conn_->WriteMessage(MessageType::NotifyUnblocked, &fbb); + return conn_->WriteMessage(MessageType::CancelGetRequest, &fbb); } Status RayletClient::NotifyDirectCallTaskBlocked() { @@ -177,16 +172,14 @@ StatusOr> RayletClient::Wait( const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, - int64_t timeout_milliseconds, - const TaskID ¤t_task_id) { + int64_t timeout_milliseconds) { // Write request. flatbuffers::FlatBufferBuilder fbb; auto message = protocol::CreateWaitRequest(fbb, to_flatbuf(fbb, object_ids), AddressesToFlatbuffer(fbb, owner_addresses), num_returns, - timeout_milliseconds, - to_flatbuf(fbb, current_task_id)); + timeout_milliseconds); fbb.Finish(message); std::vector reply; RAY_RETURN_NOT_OK(conn_->AtomicRequestReply( diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 0c1cbd0f39ff..97f3c5607a3f 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -297,14 +297,12 @@ class RayletClient : public RayletClientInterface { /// \return int 0 means correct, other numbers mean error. ray::Status FetchOrReconstruct(const std::vector &object_ids, const std::vector &owner_addresses, - bool fetch_only, - const TaskID ¤t_task_id); + bool fetch_only); - /// Notify the raylet that this client (worker) is no longer blocked. + /// Tell the Raylet to cancel the get request from this worker. /// - /// \param current_task_id The task that is no longer blocked. /// \return ray::Status. - ray::Status NotifyUnblocked(const TaskID ¤t_task_id); + ray::Status CancelGetRequest(); /// Notify the raylet that this client is blocked. This is only used for direct task /// calls. Note that ordering of this with respect to Unblock calls is important. @@ -325,7 +323,6 @@ class RayletClient : public RayletClientInterface { /// \param owner_addresses The addresses of the workers that own the objects. /// \param num_returns The number of objects to wait for. /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. - /// \param current_task_id The task that called wait. /// \param result A pair with the first element containing the object ids that were /// found, and the second element the objects that were not found. /// \return ray::StatusOr containing error status or the set of object ids that were @@ -334,8 +331,7 @@ class RayletClient : public RayletClientInterface { const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, - int64_t timeout_milliseconds, - const TaskID ¤t_task_id); + int64_t timeout_milliseconds); /// Wait for the given objects, asynchronously. The core worker is notified when /// the wait completes. From 851b24fb7e746a094e2b82afb953e7ff8edb92e1 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 4 Aug 2025 13:31:45 -0700 Subject: [PATCH 0476/1566] [core] Delete unnecessary api out of normal task submitter (#55188) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 13 ----- python/ray/includes/libcoreworker.pxd | 4 -- python/ray/tests/test_scheduling.py | 49 ------------------- src/ray/core_worker/core_worker.h | 8 --- .../transport/normal_task_submitter.cc | 2 - .../transport/normal_task_submitter.h | 12 ----- 6 files changed, 88 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 1f994920f535..4ac8ad099bdc 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -4744,19 +4744,6 @@ cdef class CoreWorker: self.job_config.ParseFromString(c_job_config.SerializeAsString()) return self.job_config - def get_task_submission_stats(self): - cdef: - int64_t num_tasks_submitted - int64_t num_leases_requested - - with nogil: - num_tasks_submitted = ( - CCoreWorkerProcess.GetCoreWorker().GetNumTasksSubmitted()) - num_leases_requested = ( - CCoreWorkerProcess.GetCoreWorker().GetNumLeasesRequested()) - - return (num_tasks_submitted, num_leases_requested) - def get_local_memory_store_bytes_used(self): cdef: int64_t num_bytes_used diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index f802b5633f07..017299615aec 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -342,10 +342,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: CJobConfig GetJobConfig() - int64_t GetNumTasksSubmitted() const - - int64_t GetNumLeasesRequested() const - int64_t GetLocalMemoryStoreBytesUsed() const void RecordTaskLogStart( diff --git a/python/ray/tests/test_scheduling.py b/python/ray/tests/test_scheduling.py index 6abd3bdb0893..ab27dfe31e6b 100644 --- a/python/ray/tests/test_scheduling.py +++ b/python/ray/tests/test_scheduling.py @@ -445,55 +445,6 @@ def f(x): wait_for_condition(lambda: object_memory_usage() == 0) -@pytest.mark.skipif(sys.platform == "win32", reason="Fails on windows") -def test_many_args(ray_start_cluster): - cluster = ray_start_cluster - object_size = int(1e6) - cluster.add_node( - num_cpus=1, - _system_config={ - # Lower this to prevent excessive delays in pull retries. - "object_manager_pull_timeout_ms": 100, - "debug_dump_period_milliseconds": 1000, - }, - object_store_memory=int(1e8), - ) - for _ in range(3): - cluster.add_node(num_cpus=1, object_store_memory=int(1e8)) - ray.init(address=cluster.address) - - @ray.remote - def f(i, *args): - print(i) - return - - @ray.remote - def put(): - return np.zeros(object_size, dtype=np.uint8) - - xs = [put.remote() for _ in range(200)] - ray.wait(xs, num_returns=len(xs), fetch_local=False) - ( - num_tasks_submitted_before, - num_leases_requested_before, - ) = ray._private.worker.global_worker.core_worker.get_task_submission_stats() - tasks = [] - for i in range(100): - args = [np.random.choice(xs) for _ in range(10)] - tasks.append(f.remote(i, *args)) - ray.get(tasks, timeout=30) - - ( - num_tasks_submitted, - num_leases_requested, - ) = ray._private.worker.global_worker.core_worker.get_task_submission_stats() - num_tasks_submitted -= num_tasks_submitted_before - num_leases_requested -= num_leases_requested_before - print("submitted:", num_tasks_submitted, "leases requested:", num_leases_requested) - assert num_tasks_submitted == 100 - assert num_leases_requested <= 10 * num_tasks_submitted - - def test_pull_manager_at_capacity_reports(ray_start_cluster): cluster = ray_start_cluster cluster.add_node(num_cpus=0, object_store_memory=int(1e8)) diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 09ec6303e91e..8cb9b44828e0 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1022,14 +1022,6 @@ class CoreWorker { /// Create a profile event and push it the TaskEventBuffer when the event is destructed. std::unique_ptr CreateProfileEvent(const std::string &event_name); - int64_t GetNumTasksSubmitted() const { - return normal_task_submitter_->GetNumTasksSubmitted(); - } - - int64_t GetNumLeasesRequested() const { - return normal_task_submitter_->GetNumLeasesRequested(); - } - public: friend class CoreWorkerProcessImpl; diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index 92c15e9bd9ae..eb77c16d58b7 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -28,7 +28,6 @@ namespace core { Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { RAY_CHECK(task_spec.IsNormalTask()); RAY_LOG(DEBUG) << "Submit task " << task_spec.TaskId(); - num_tasks_submitted_.fetch_add(1, std::memory_order_relaxed); resolver_.ResolveDependencies(task_spec, [this, task_spec](Status status) mutable { // NOTE: task_spec here is capture copied (from a stack variable) and also @@ -331,7 +330,6 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli return; } - num_leases_requested_++; // Create a TaskSpecification with an overwritten TaskID to make sure we don't reuse the // same TaskID to request a worker auto resource_spec_msg = scheduling_key_entry.resource_spec.GetMutableMessage(); diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index 9bb3c41cb766..b4057a638f07 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -138,15 +138,6 @@ class NormalTaskSubmitter { return scheduling_key_entries_.empty(); } - int64_t GetNumTasksSubmitted() const { - return num_tasks_submitted_.load(std::memory_order_relaxed); - } - - int64_t GetNumLeasesRequested() { - absl::MutexLock lock(&mu_); - return num_leases_requested_; - } - /// Report worker backlog information to the local raylet. /// Since each worker only reports to its local rayet /// we avoid double counting backlogs in autoscaler. @@ -374,9 +365,6 @@ class NormalTaskSubmitter { // Retries cancelation requests if they were not successful. boost::asio::steady_timer cancel_retry_timer_ ABSL_GUARDED_BY(mu_); - - std::atomic num_tasks_submitted_ = 0; - int64_t num_leases_requested_ ABSL_GUARDED_BY(mu_) = 0; }; } // namespace core From 9d38860a8a63065e71604fa63f53e3be5868fe93 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 4 Aug 2025 15:39:04 -0500 Subject: [PATCH 0477/1566] [core] Add a `ray sanity-check` CLI (#55150) After I re-build Ray and am manually testing, I often go through the process of writing a trivial Ray script and testing it before running something more complex. Adding a hidden CLI command to make this more convenient and for others to use as well. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/scripts/scripts.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 34d82130564e..54e9b0209d61 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -2647,6 +2647,22 @@ def cpp(show_library_path, generate_bazel_project_template_to): ) +@cli.command(hidden=True) +def sanity_check(): + """Run a sanity check to check that the Ray installation works. + + This is not a public API and is intended to be used by Ray developers only. + """ + + @ray.remote + def get_version() -> str: + return ray.__version__ + + v = ray.get(get_version.remote()) + assert v == ray.__version__ + cli_logger.success(f"Success! Ray version: {v}") + + @click.group(name="metrics") def metrics_group(): pass @@ -2704,6 +2720,7 @@ def add_command_alias(command, name, hidden): cli.add_command(metrics_group) cli.add_command(drain_node) cli.add_command(check_open_ports) +cli.add_command(sanity_check) try: from ray.util.state.state_cli import ( From a275535e24f731a4a816f9a8d7c8f72a46e5c425 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 4 Aug 2025 14:01:54 -0700 Subject: [PATCH 0478/1566] [core] Dead actor creation task path in normal task submitter (#55185) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../transport/normal_task_submitter.cc | 49 ++++++------------- .../transport/normal_task_submitter.h | 13 ++--- 2 files changed, 18 insertions(+), 44 deletions(-) diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index eb77c16d58b7..efb6ad4d387d 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -61,11 +61,9 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { current_sys_time_ms()); // Note that the dependencies in the task spec are mutated to only contain // plasma dependencies after ResolveDependencies finishes. - const SchedulingKey scheduling_key( - task_spec.GetSchedulingClass(), - task_spec.GetDependencyIds(), - task_spec.IsActorCreationTask() ? task_spec.ActorCreationId() : ActorID::Nil(), - task_spec.GetRuntimeEnvHash()); + const SchedulingKey scheduling_key(task_spec.GetSchedulingClass(), + task_spec.GetDependencyIds(), + task_spec.GetRuntimeEnvHash()); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; scheduling_key_entry.task_queue.push_back(task_spec); scheduling_key_entry.resource_spec = std::move(task_spec); @@ -518,16 +516,8 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli error_info.set_error_type(error_type); while (!tasks_to_fail.empty()) { auto &task_spec = tasks_to_fail.front(); - if (task_spec.IsActorCreationTask() && - error_type == rpc::ErrorType::TASK_PLACEMENT_GROUP_REMOVED) { - task_manager_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::ACTOR_PLACEMENT_GROUP_REMOVED, - &error_status, - &error_info); - } else { - task_manager_.FailPendingTask( - task_spec.TaskId(), error_type, &error_status, &error_info); - } + task_manager_.FailPendingTask( + task_spec.TaskId(), error_type, &error_status, &error_info); tasks_to_fail.pop_front(); } }, @@ -557,8 +547,6 @@ void NormalTaskSubmitter::PushNormalTask( << NodeID::FromBinary(addr.raylet_id()); auto task_id = task_spec.TaskId(); auto request = std::make_unique(); - bool is_actor_creation = task_spec.IsActorCreationTask(); - // NOTE(swang): CopyFrom is needed because if we use Swap here and the task // fails, then the task data will be gone when the TaskManager attempts to // access the task. @@ -573,7 +561,6 @@ void NormalTaskSubmitter::PushNormalTask( [this, task_spec = std::move(task_spec), task_id, - is_actor_creation, scheduling_key, addr, assigned_resources](Status status, const rpc::PushTaskReply &reply) { @@ -627,18 +614,12 @@ void NormalTaskSubmitter::PushNormalTask( cur_lease_entry.lease_client->GetTaskFailureCause(cur_lease_entry.task_id, callback); } - - if (!status.ok() || !is_actor_creation || reply.worker_exiting()) { - bool was_error = !status.ok(); - bool is_worker_exiting = reply.worker_exiting(); - // Successful actor creation leases the worker indefinitely from the raylet. - OnWorkerIdle(addr, - scheduling_key, - /*was_error=*/was_error, - /*error_detail*/ status.message(), - /*worker_exiting=*/is_worker_exiting, - assigned_resources); - } + OnWorkerIdle(addr, + scheduling_key, + /*was_error=*/!status.ok(), + /*error_detail*/ status.message(), + /*worker_exiting=*/reply.worker_exiting(), + assigned_resources); } if (status.ok()) { if (reply.was_cancelled_before_running()) { @@ -718,11 +699,9 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) { RAY_LOG(INFO) << "Cancelling a task: " << task_spec.TaskId() << " force_kill: " << force_kill << " recursive: " << recursive; - SchedulingKey scheduling_key( - task_spec.GetSchedulingClass(), - task_spec.GetDependencyIds(), - task_spec.IsActorCreationTask() ? task_spec.ActorCreationId() : ActorID::Nil(), - task_spec.GetRuntimeEnvHash()); + SchedulingKey scheduling_key(task_spec.GetSchedulingClass(), + task_spec.GetDependencyIds(), + task_spec.GetRuntimeEnvHash()); std::shared_ptr client = nullptr; { absl::MutexLock lock(&mu_); diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index b4057a638f07..4518d0ef80c3 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -44,16 +44,11 @@ namespace core { // (encapsulated in SchedulingClass) to defer resource allocation decisions to the raylet // and ensure fairness between different tasks, as well as plasma task dependencies as // a performance optimization because the raylet will fetch plasma dependencies to the -// scheduled worker. It's also keyed on actor ID to ensure the actor creation task -// would always request a new worker lease. We need this to let raylet know about -// direct actor creation task, and reconstruct the actor if it dies. Otherwise if -// the actor creation task just reuses an existing worker, then raylet will not -// be aware of the actor and is not able to manage it. It is also keyed on -// RuntimeEnvHash, because a worker can only run a task if the worker's RuntimeEnvHash -// matches the RuntimeEnvHash required by the task spec. +// scheduled worker. It is also keyed on RuntimeEnvHash, because a worker can only run a +// task if the worker's RuntimeEnvHash matches the RuntimeEnvHash required by the task +// spec. using RuntimeEnvHash = int; -using SchedulingKey = - std::tuple, ActorID, RuntimeEnvHash>; +using SchedulingKey = std::tuple, RuntimeEnvHash>; // Interface that controls the max concurrent pending lease requests // per scheduling category. From e925af61bfa11bbeb10629a77e37f6dfa481c8ee Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 4 Aug 2025 14:43:36 -0700 Subject: [PATCH 0479/1566] [Data] Add chaos variant of new image embedding release test (#55154) ## Why are these changes needed? We want to make sure Ray Data is fault tolerant. To measure our progress, this PR adds a chaos variant of the image embedding release test added by https://github.com/ray-project/ray/pull/54806 This PR also extends to `ResourceKillerActor` to allow it to run indefinitely (i.e., not stopping it after a number of resources have been killed). ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 4 +- .../dataset/batch_inference_hetero/main.py | 29 ++++++++++++ release/release_data_tests.yaml | 44 +++++++++++-------- 3 files changed, 57 insertions(+), 20 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index 8e7e5a07a38b..d79b964252bd 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -1293,7 +1293,7 @@ def __init__( head_node_id, kill_interval_s: float = 60, kill_delay_s: float = 0, - max_to_kill: int = 2, + max_to_kill: Optional[int] = 2, batch_size_to_kill: int = 1, kill_filter_fn: Optional[Callable] = None, ): @@ -1332,7 +1332,7 @@ async def run(self): for to_kill in to_kills: self._kill_resource(*to_kill) - if len(self.killed) >= self.max_to_kill: + if self.max_to_kill is not None and len(self.killed) >= self.max_to_kill: break await asyncio.sleep(self.kill_interval_s - sleep_interval) diff --git a/release/nightly_tests/dataset/batch_inference_hetero/main.py b/release/nightly_tests/dataset/batch_inference_hetero/main.py index 2e1d2ac95b11..ef0602b6ef38 100644 --- a/release/nightly_tests/dataset/batch_inference_hetero/main.py +++ b/release/nightly_tests/dataset/batch_inference_hetero/main.py @@ -10,6 +10,8 @@ from PIL import Image from pybase64 import b64decode +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +from ray._private.test_utils import EC2InstanceTerminatorWithGracePeriod from benchmark import Benchmark @@ -40,12 +42,23 @@ def parse_args(): required=True, help="The minimum and maximum concurrency for the inference operator.", ) + parser.add_argument( + "--chaos", + action="store_true", + help=( + "Whether to enable chaos. If set, this script terminates one worker node " + "every minute with a grace period." + ), + ) return parser.parse_args() def main(args: argparse.Namespace): benchmark = Benchmark() + if args.chaos: + start_chaos() + def benchmark_fn(): ( ray.data.read_json(INPUT_PREFIX, lines=True) @@ -64,6 +77,22 @@ def benchmark_fn(): benchmark.write_result() +def start_chaos(): + assert ray.is_initialized() + + head_node_id = ray.get_runtime_context().get_node_id() + scheduling_strategy = NodeAffinitySchedulingStrategy( + node_id=head_node_id, soft=False + ) + resource_killer = EC2InstanceTerminatorWithGracePeriod.options( + scheduling_strategy=scheduling_strategy + ).remote(head_node_id, max_to_kill=None) + + ray.get(resource_killer.ready.remote()) + + resource_killer.run.remote() + + def decode(row: Dict[str, Any]) -> List[Dict[str, Any]]: image_data = b64decode(row["image"], None, True) image = Image.open(BytesIO(image_data)) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index ead8e5eecb16..5a1bf0debacc 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -542,28 +542,36 @@ python setup_chaos.py --chaos TerminateEC2InstanceWithGracePeriod --batch-size-to-kill 10 --max-to-kill 100 --kill-delay 120 -- name: batch_inference_hetero +- name: batch_inference_hetero_{{case}} frequency: manual - run: - timeout: 3600 + matrix: + setup: + case: [] + cluster_type: [] + args: [] + adjustments: + - with: + case: fixed_size + cluster_type: fixed_size + args: --inference-concurrency 40 40 + - with: + case: autoscaling + cluster_type: autoscaling + args: --inference-concurrency 1 40 + - with: + case: fixed_size_chaos + cluster_type: fixed_size + args: --inference-concurrency 40 40 --chaos - variations: - - __suffix__: fixed_size - cluster: - cluster_compute: batch_inference_hetero/fixed_size_cluster_compute.yaml - byod: - post_build_script: byod_install_pybase64.sh - run: - script: python batch_inference_hetero/main.py --inference-concurrency 40 40 + cluster: + cluster_compute: batch_inference_hetero/{{cluster_type}}_cluster_compute.yaml + byod: + post_build_script: byod_install_pybase64.sh - - __suffix__: autoscaling - cluster: - cluster_compute: batch_inference_hetero/autoscaling_cluster_compute.yaml - byod: - post_build_script: byod_install_pybase64.sh - run: - script: python batch_inference_hetero/main.py --inference-concurrency 1 40 + run: + timeout: 3600 + script: python batch_inference_hetero/main.py {{args}} ############## From dc2e603c7886fe8d877239444500855fd2bab68f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 4 Aug 2025 15:06:15 -0700 Subject: [PATCH 0480/1566] [distro] image: drops the AUTOSCALER ARG in the base image (#55211) autoscaler deps are practically always included in the image right now; the arg has not been used for a long time. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 40 +++++++++++++++++-------------------- 1 file changed, 18 insertions(+), 22 deletions(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index bddf8d36b053..94259767c134 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -8,7 +8,6 @@ FROM ${BASE_IMAGE} # FROM directive resets ARG ARG BASE_IMAGE # If this arg is not "autoscaler" then no autoscaler requirements will be included -ARG AUTOSCALER="autoscaler" ENV TZ=America/Los_Angeles ENV LC_ALL=C.UTF-8 ENV LANG=C.UTF-8 @@ -38,17 +37,15 @@ APT_PKGS=( cmake g++ zlib1g-dev + + # For autoscaler + tmux + screen + rsync + netbase + openssh-client + gnupg ) -if [[ "$AUTOSCALER" == "autoscaler" ]]; then - APT_PKGS+=( - tmux - screen - rsync - netbase - openssh-client - gnupg - ) -fi apt-get install -y "${APT_PKGS[@]}" @@ -92,18 +89,17 @@ PIP_PKGS=( cython numpy # Necessary for Dataset to work properly. psutil - smart_open[s3] + + # For the ease to submit jobs on various cloud providers. + "smart_open[s3,gcs,azure,http]" + + six + boto3 + pyopenssl + cryptography + google-api-python-client + google-oauth ) -if [[ "$AUTOSCALER" == "autoscaler" ]]; then - PIP_PKGS+=( - six - boto3 - pyopenssl - cryptography - google-api-python-client - google-oauth - ) -fi # Install uv wget -qO- https://astral.sh/uv/install.sh | sudo env UV_UNMANAGED_INSTALL="/usr/local/bin" sh From 7d85a6d601d21689e0c2158b5bc1779636f5da19 Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Mon, 4 Aug 2025 15:06:34 -0700 Subject: [PATCH 0481/1566] [data] truncate dataset export (#55216) ## Why are these changes needed? Currently, dataset metadata exports can be large because we include operator args for each operator. The size(args) is unbounded. Instead, we can truncate the length of arguments to a default 100 characters. This should mitigate any unexpectedly large arguments, but won't affect the # of Operators or the # of args per Operator that are exported. That's ok(for now), because we shouldn't have too many. Clone of #55160, using this to merge this faster since @iamjustinhsu is out. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Matthew Owen Co-authored-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../ray/data/_internal/metadata_exporter.py | 24 ++++-- python/ray/data/tests/test_state_export.py | 77 ++++++++++++++++++- 2 files changed, 94 insertions(+), 7 deletions(-) diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index eebbd3a1b8b0..dfc2a60bcffc 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -25,6 +25,10 @@ UNKNOWN = "unknown" +# Number of characters to truncate to when +# exporting dataset operator arguments +DEFAULT_TRUNCATION_LENGTH = 100 + # NOTE: These dataclasses need to be updated in sync with the protobuf definitions in # src/ray/protobuf/export_api/export_dataset_metadata.proto @dataclass @@ -138,20 +142,28 @@ class DatasetMetadata: data_context: DataContext -def sanitize_for_struct(obj): +def _add_ellipsis(s, truncate_length): + if len(s) > truncate_length: + return s[:truncate_length] + "..." + return s + + +def sanitize_for_struct(obj, truncate_length=DEFAULT_TRUNCATION_LENGTH): if isinstance(obj, Mapping): - return {k: sanitize_for_struct(v) for k, v in obj.items()} - elif isinstance(obj, (str, int, float, bool)) or obj is None: + return {k: sanitize_for_struct(v, truncate_length) for k, v in obj.items()} + elif isinstance(obj, (int, float, bool)) or obj is None: return obj + elif isinstance(obj, str): + return _add_ellipsis(obj, truncate_length) elif isinstance(obj, Sequence): - return [sanitize_for_struct(v) for v in obj] + return [sanitize_for_struct(v, truncate_length) for v in obj] else: # Convert unhandled types to string try: - return json.dumps(obj) + return _add_ellipsis(json.dumps(obj), truncate_length) except (TypeError, OverflowError): try: - return str(obj) + return _add_ellipsis(str(obj), truncate_length) except Exception: return UNKNOWN diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index a649cc5f55b8..58beeff858a9 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -6,7 +6,12 @@ import ray from ray.data import DataContext -from ray.data._internal.metadata_exporter import Operator, Topology, sanitize_for_struct +from ray.data._internal.metadata_exporter import ( + UNKNOWN, + Operator, + Topology, + sanitize_for_struct, +) from ray.data._internal.stats import _get_or_create_stats_actor from ray.tests.conftest import _ray_start @@ -259,6 +264,76 @@ def test_export_multiple_datasets( assert second_entry["event_data"]["start_time"] is not None +class UnserializableObject: + """A test class that can't be JSON serialized or converted to string easily.""" + + def __str__(self): + raise ValueError("Cannot convert to string") + + def __repr__(self): + raise ValueError("Cannot convert to repr") + + +class BasicObject: + """A test class that can be converted to string.""" + + def __init__(self, value): + self.value = value + + def __str__(self): + return f"BasicObject({self.value})" + + +@pytest.mark.parametrize( + "input_obj,expected_output,truncate_length", + [ + # Basic types - should return as-is + (42, 42, 100), + (3.14, 3.14, 100), + (True, True, 100), + (False, False, 100), + (None, None, 100), + # Strings - short strings return as-is + ("hello", "hello", 100), + # Strings - long strings get truncated + ("a" * 150, "a" * 100 + "...", 100), + ("hello world", "hello...", 5), + # Mappings - should recursively sanitize values + ({"key": "value"}, {"key": "value"}, 100), + ({"long_key": "a" * 150}, {"long_key": "a" * 100 + "..."}, 100), + ({"nested": {"inner": "value"}}, {"nested": {"inner": "value"}}, 100), + # Sequences - should recursively sanitize elements + ([1, 2, 3], [1, 2, 3], 100), + (["short", "a" * 150], ["short", "a" * 100 + "..."], 100), + # Complex nested structures + ( + {"list": [1, "a" * 150], "dict": {"key": "a" * 150}}, + {"list": [1, "a" * 100 + "..."], "dict": {"key": "a" * 100 + "..."}}, + 100, + ), + # Objects that can be converted to string + (BasicObject("test"), "BasicObject(test)", 100), # Falls back to str() + # Objects that can't be JSON serialized but can be stringified + ({1, 2, 3}, "{1, 2, 3}", 100), # Falls back to str() + # Objects that can't be serialized or stringified + (UnserializableObject(), UNKNOWN, 100), + # Empty containers + ({}, {}, 100), + ([], [], 100), + # Mixed type sequences + ( + [1, "hello", {"key": "value"}, None], + [1, "hello", {"key": "value"}, None], + 100, + ), + ], +) +def test_sanitize_for_struct(input_obj, expected_output, truncate_length): + """Test sanitize_for_struct with various input types and truncation lengths.""" + result = sanitize_for_struct(input_obj, truncate_length) + assert result == expected_output + + if __name__ == "__main__": import sys From 2aea7a551539dfdd7d9c174d3359b47f42bcd9b9 Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Mon, 4 Aug 2025 15:48:43 -0700 Subject: [PATCH 0482/1566] Added Ray Train LoggingManager Utility Class (#55121) Added a LoggingManager utility class to Ray Train's logging module for grouping logging utility functions. Also modified associated test cases as necessary. --------- Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../execution/controller/controller.py | 4 +- .../execution/worker_group/worker.py | 4 +- .../train/v2/_internal/logging/__init__.py | 3 + .../ray/train/v2/_internal/logging/logging.py | 270 +++++++++--------- python/ray/train/v2/tests/test_logging.py | 13 +- 5 files changed, 151 insertions(+), 143 deletions(-) diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 515b7a67336a..e2f916d140a4 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -58,7 +58,7 @@ from ray.train.v2._internal.execution.worker_group.worker_group import ( WorkerGroupContext, ) -from ray.train.v2._internal.logging.logging import configure_controller_logger +from ray.train.v2._internal.logging import LoggingManager from ray.train.v2._internal.util import ObjectRefWrapper, time_monotonic from ray.train.v2.api.callback import RayTrainCallback from ray.train.v2.api.exceptions import ( @@ -116,7 +116,7 @@ def __init__( ENABLE_CONTROLLER_STRUCTURED_LOGGING_ENV_VAR, DEFAULT_ENABLE_CONTROLLER_LOGGING, ): - configure_controller_logger(self._train_run_context) + LoggingManager.configure_controller_logger(self._train_run_context) self._train_fn_ref = train_fn_ref self._scaling_policy = scaling_policy self._failure_policy = failure_policy diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 93e055c16871..1a3ea2e7a554 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -31,7 +31,7 @@ ) from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.execution.worker_group.poll import WorkerStatus -from ray.train.v2._internal.logging.logging import configure_worker_logger +from ray.train.v2._internal.logging.logging import LoggingManager from ray.train.v2._internal.logging.patch_print import patch_print_function from ray.train.v2._internal.util import ObjectRefWrapper from ray.types import ObjectRef @@ -214,7 +214,7 @@ def init_train_context( if ray_constants.env_bool( ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR, DEFAULT_ENABLE_WORKER_LOGGING ): - configure_worker_logger(context) + LoggingManager.configure_worker_logger(context) patch_print_function() # Set the train context global variable for the worker. set_train_context(context) diff --git a/python/ray/train/v2/_internal/logging/__init__.py b/python/ray/train/v2/_internal/logging/__init__.py index e69de29bb2d1..e030ba606a59 100644 --- a/python/ray/train/v2/_internal/logging/__init__.py +++ b/python/ray/train/v2/_internal/logging/__init__.py @@ -0,0 +1,3 @@ +from .logging import LoggingManager + +__all__ = ["LoggingManager"] diff --git a/python/ray/train/v2/_internal/logging/logging.py b/python/ray/train/v2/_internal/logging/logging.py index 537f3ff2a60a..053dd52e63fe 100644 --- a/python/ray/train/v2/_internal/logging/logging.py +++ b/python/ray/train/v2/_internal/logging/logging.py @@ -11,106 +11,6 @@ from ray.train.v2._internal.util import get_module_name -def _get_base_logger_config_dict(context: Union[TrainRunContext, TrainContext]) -> dict: - """Return the base logging configuration dictionary.""" - # Using Ray worker ID as the file identifier where logs are written to. - file_identifier = ray.get_runtime_context().get_worker_id() - # Return the base logging configuration as a Python dictionary. - return { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "ray_json": {"class": get_module_name(JSONFormatter)}, - }, - "filters": { - "core_context_filter": {"()": CoreContextFilter}, - "train_context_filter": {"()": TrainContextFilter, "context": context}, - }, - "handlers": { - "console": {"class": get_module_name(PlainRayHandler)}, - "file_train_sys_controller": { - "class": get_module_name(SessionFileHandler), - "formatter": "ray_json", - "filename": f"ray-train-sys-controller-{file_identifier}.log", - "filters": ["core_context_filter", "train_context_filter"], - }, - "file_train_app_controller": { - "class": get_module_name(SessionFileHandler), - "formatter": "ray_json", - "filename": f"ray-train-app-controller-{file_identifier}.log", - "filters": ["core_context_filter", "train_context_filter"], - }, - "file_train_sys_worker": { - "class": get_module_name(SessionFileHandler), - "formatter": "ray_json", - "filename": f"ray-train-sys-worker-{file_identifier}.log", - "filters": ["core_context_filter", "train_context_filter"], - }, - "file_train_app_worker": { - "class": get_module_name(SessionFileHandler), - "formatter": "ray_json", - "filename": f"ray-train-app-worker-{file_identifier}.log", - "filters": ["core_context_filter", "train_context_filter"], - }, - }, - "loggers": {}, - } - - -def get_controller_logger_config_dict(context: TrainRunContext) -> dict: - """Return the controller logger configuration dictionary. - - On the controller process, only the `ray.train` logger is configured. - This logger emits logs to the following three locations: - - `file_train_sys_controller`: Ray Train system logs. - - `file_train_app_controller`: Ray Train application logs. - - `console`: Logs to the console. - """ - - config_dict = _get_base_logger_config_dict(context) - config_dict["loggers"]["ray.train"] = { - "level": "INFO", - "handlers": [ - "file_train_sys_controller", - "file_train_app_controller", - "console", - ], - "propagate": False, - } - return config_dict - - -def get_worker_logger_config_dict(context: TrainContext) -> dict: - """Return the worker loggers configuration dictionary. - - On the worker process, there are two loggers being configured: - - First, the `ray.train` logger is configured and emits logs to the - following three locations: - - `file_train_sys_worker`: Ray Train system logs. - - `file_train_app_worker`: Ray Train application logs. - - `console`: Logs to the console. - Second, the root logger is configured and emits logs to the following - two locations: - - `console`: Logs to the console. - - `file_train_app_worker`: Ray Train application logs. - The root logger will not emit Ray Train system logs and thus not writing to - `file_train_sys_worker` file handler. - """ - - config_dict = _get_base_logger_config_dict(context) - config_dict["loggers"]["ray.train"] = { - "level": "INFO", - "handlers": ["file_train_sys_worker", "file_train_app_worker", "console"], - "propagate": False, - } - config_dict["root"] = { - "level": "INFO", - "handlers": ["file_train_app_worker", "console"], - } - return config_dict - - class TrainContextFilter(logging.Filter): """Add Ray Train metadata to the log records. @@ -208,7 +108,7 @@ def _try_create_handler(self): # Get the Ray Train log directory. If not in a Ray session, return. # This handler will only be created within a Ray session. - log_directory = get_log_directory() + log_directory = LoggingManager.get_log_directory() if log_directory is None: return @@ -221,39 +121,147 @@ def _try_create_handler(self): self._handler.setFormatter(self._formatter) -def configure_controller_logger(context: TrainRunContext) -> None: +class LoggingManager: """ - Configure the logger on the controller process, which is the `ray.train` logger. + A utility class for managing the logging configuration of Ray Train. """ - config = get_controller_logger_config_dict(context) - logging.config.dictConfig(config) - # TODO: Return the controller log file path. - -def configure_worker_logger(context: TrainContext) -> None: - """ - Configure the loggers on the worker process, which contains the - `ray.train` logger and the root logger. - """ - config = get_worker_logger_config_dict(context) - logging.config.dictConfig(config) - # TODO: Return the worker log file path. - - -def get_log_directory() -> Optional[str]: - """Return the directory where Ray Train writes log files. - - If not in a Ray session, return None. - - This path looks like: "/tmp/ray/session_xxx/logs/train/" - """ - global_node = ray._private.worker._global_node - - if global_node is None: - return None - - root_dir = global_node.get_session_dir_path() - return os.path.join(root_dir, "logs", "train") + @staticmethod + def _get_base_logger_config_dict( + context: Union[TrainRunContext, TrainContext] + ) -> dict: + """Return the base logging configuration dictionary.""" + # Using Ray worker ID as the file identifier where logs are written to. + file_identifier = ray.get_runtime_context().get_worker_id() + # Return the base logging configuration as a Python dictionary. + return { + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "ray_json": {"class": get_module_name(JSONFormatter)}, + }, + "filters": { + "core_context_filter": {"()": CoreContextFilter}, + "train_context_filter": {"()": TrainContextFilter, "context": context}, + }, + "handlers": { + "console": {"class": get_module_name(PlainRayHandler)}, + "file_train_sys_controller": { + "class": get_module_name(SessionFileHandler), + "formatter": "ray_json", + "filename": f"ray-train-sys-controller-{file_identifier}.log", + "filters": ["core_context_filter", "train_context_filter"], + }, + "file_train_app_controller": { + "class": get_module_name(SessionFileHandler), + "formatter": "ray_json", + "filename": f"ray-train-app-controller-{file_identifier}.log", + "filters": ["core_context_filter", "train_context_filter"], + }, + "file_train_sys_worker": { + "class": get_module_name(SessionFileHandler), + "formatter": "ray_json", + "filename": f"ray-train-sys-worker-{file_identifier}.log", + "filters": ["core_context_filter", "train_context_filter"], + }, + "file_train_app_worker": { + "class": get_module_name(SessionFileHandler), + "formatter": "ray_json", + "filename": f"ray-train-app-worker-{file_identifier}.log", + "filters": ["core_context_filter", "train_context_filter"], + }, + }, + "loggers": {}, + } + + @staticmethod + def _get_controller_logger_config_dict(context: TrainRunContext) -> dict: + """Return the controller logger configuration dictionary. + + On the controller process, only the `ray.train` logger is configured. + This logger emits logs to the following three locations: + - `file_train_sys_controller`: Ray Train system logs. + - `file_train_app_controller`: Ray Train application logs. + - `console`: Logs to the console. + """ + + config_dict = LoggingManager._get_base_logger_config_dict(context) + config_dict["loggers"]["ray.train"] = { + "level": "INFO", + "handlers": [ + "file_train_sys_controller", + "file_train_app_controller", + "console", + ], + "propagate": False, + } + return config_dict + + @staticmethod + def _get_worker_logger_config_dict(context: TrainContext) -> dict: + """Return the worker loggers configuration dictionary. + + On the worker process, there are two loggers being configured: + + First, the `ray.train` logger is configured and emits logs to the + following three locations: + - `file_train_sys_worker`: Ray Train system logs. + - `file_train_app_worker`: Ray Train application logs. + - `console`: Logs to the console. + Second, the root logger is configured and emits logs to the following + two locations: + - `console`: Logs to the console. + - `file_train_app_worker`: Ray Train application logs. + The root logger will not emit Ray Train system logs and thus not writing to + `file_train_sys_worker` file handler. + """ + + config_dict = LoggingManager._get_base_logger_config_dict(context) + config_dict["loggers"]["ray.train"] = { + "level": "INFO", + "handlers": ["file_train_sys_worker", "file_train_app_worker", "console"], + "propagate": False, + } + config_dict["root"] = { + "level": "INFO", + "handlers": ["file_train_app_worker", "console"], + } + return config_dict + + @staticmethod + def configure_controller_logger(context: TrainRunContext) -> None: + """ + Configure the logger on the controller process, which is the `ray.train` logger. + """ + config = LoggingManager._get_controller_logger_config_dict(context) + logging.config.dictConfig(config) + # TODO: Return the controller log file path. + + @staticmethod + def configure_worker_logger(context: TrainContext) -> None: + """ + Configure the loggers on the worker process, which contains the + `ray.train` logger and the root logger. + """ + config = LoggingManager._get_worker_logger_config_dict(context) + logging.config.dictConfig(config) + # TODO: Return the worker log file path. + + @staticmethod + def get_log_directory() -> Optional[str]: + """Return the directory where Ray Train writes log files. + + If not in a Ray session, return None. + + This path looks like: "/tmp/ray/session_xxx/logs/train/" + """ + global_node = ray._private.worker._global_node + + if global_node is None: + return None + + root_dir = global_node.get_session_dir_path() + return os.path.join(root_dir, "logs", "train") def get_train_application_controller_log_path() -> Optional[str]: diff --git a/python/ray/train/v2/tests/test_logging.py b/python/ray/train/v2/tests/test_logging.py index 4f684ceaaf73..4587a42e6357 100644 --- a/python/ray/train/v2/tests/test_logging.py +++ b/python/ray/train/v2/tests/test_logging.py @@ -6,10 +6,7 @@ import ray from ray.runtime_context import get_runtime_context -from ray.train.v2._internal.logging.logging import ( - configure_controller_logger, - configure_worker_logger, -) +from ray.train.v2._internal.logging import LoggingManager from ray.train.v2._internal.logging.patch_print import patch_print_function from ray.train.v2.tests.util import create_dummy_run_context, create_dummy_train_context @@ -77,7 +74,7 @@ def test_controller_sys_logged_to_file(controller_logging): """ Test that system messages are logged to the correct file on Controller process. """ - configure_controller_logger(create_dummy_run_context()) + LoggingManager.configure_controller_logger(create_dummy_run_context()) worker_id = get_runtime_context().get_worker_id() train_logger = logging.getLogger("ray.train.spam") train_logger.info("ham") @@ -102,7 +99,7 @@ def test_worker_sys_logged_to_file(worker_logging): """ Test that system messages are logged to the correct file on Worker process. """ - configure_worker_logger(create_dummy_train_context()) + LoggingManager.configure_worker_logger(create_dummy_train_context()) worker_id = get_runtime_context().get_worker_id() train_logger = logging.getLogger("ray.train.spam") train_logger.info("ham") @@ -128,7 +125,7 @@ def test_worker_app_logged_to_file(worker_logging): Test that worker messages are logged to the correct file. Only root logger on worker processes is configured with the train context. """ - configure_worker_logger(create_dummy_train_context()) + LoggingManager.configure_worker_logger(create_dummy_train_context()) worker_id = get_runtime_context().get_worker_id() root_logger = logging.getLogger() # print(root_logger.handlers) @@ -140,7 +137,7 @@ def test_worker_app_logged_to_file(worker_logging): def test_worker_app_print_redirect(worker_logging): """Test the print statement can be captured on the worker processes.""" - configure_worker_logger(create_dummy_train_context()) + LoggingManager.configure_worker_logger(create_dummy_train_context()) patch_print_function() worker_id = get_runtime_context().get_worker_id() print("ham") From c013c2fd794deb08d016ef44af08a06110a05673 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Mon, 4 Aug 2025 22:57:03 +0000 Subject: [PATCH 0483/1566] [Core] Add default TPU Ray node labels (#55064) This PR adds useful TPU accelerator information to the node labels of a Ray node when TPU resources are detected. These labels will enable fine-grained control over scheduling on TPU devices and support for SPMD workloads. This information is currently added to the resource configuration of Ray nodes as additional custom resources, but this workaround will be deprecated in favor of using the `label_selector` API. I added `get_current_node_accelerator_labels` as a function to the `AcceleratorManager` abstract class so that we can extend this to other accelerators in the future. --------- Signed-off-by: Ryan O'Leary Signed-off-by: Douglas Strodtman --- .../ray/_private/accelerators/accelerator.py | 9 +++ python/ray/_private/accelerators/tpu.py | 65 +++++++++++++++++-- .../ray/_private/resource_and_label_spec.py | 6 ++ python/ray/includes/common.pxd | 4 ++ python/ray/includes/common.pxi | 12 +++- python/ray/tests/accelerators/test_tpu.py | 33 ++++++++-- python/ray/tests/test_node_labels.py | 29 +++++++++ src/ray/common/constants.h | 16 +++++ 8 files changed, 163 insertions(+), 11 deletions(-) diff --git a/python/ray/_private/accelerators/accelerator.py b/python/ray/_private/accelerators/accelerator.py index b2fb21287c87..a2cd98565fd2 100644 --- a/python/ray/_private/accelerators/accelerator.py +++ b/python/ray/_private/accelerators/accelerator.py @@ -136,3 +136,12 @@ def get_ec2_instance_accelerator_type( Return None if it's unknown. """ return None + + @staticmethod + def get_current_node_accelerator_labels() -> Optional[Dict[str, str]]: + """Get accelerator related Ray node labels of the curent node. + + Returns: + A dictionary mapping accelerator related label keys to values. + """ + return None diff --git a/python/ray/_private/accelerators/tpu.py b/python/ray/_private/accelerators/tpu.py index 190fa6f0b015..c6df2c858779 100644 --- a/python/ray/_private/accelerators/tpu.py +++ b/python/ray/_private/accelerators/tpu.py @@ -7,6 +7,7 @@ import requests +import ray from ray._private.accelerators.accelerator import AcceleratorManager logger = logging.getLogger(__name__) @@ -14,6 +15,7 @@ TPU_VALID_CHIP_OPTIONS = (1, 2, 4, 8) GKE_TPU_ACCELERATOR_TYPE_ENV_VAR = "TPU_ACCELERATOR_TYPE" +GKE_TPU_TOPOLOGY_ENV_VAR = "TPU_TOPOLOGY" GKE_TPU_WORKER_ID_ENV_VAR = "TPU_WORKER_ID" GKE_TPU_NAME_ENV_VAR = "TPU_NAME" @@ -26,6 +28,7 @@ ) GCE_TPU_HEADERS = {"Metadata-Flavor": "Google"} GCE_TPU_ACCELERATOR_KEY = "accelerator-type" +GCE_TPU_ENV_KEY = "tpu-env" GCE_TPU_INSTANCE_ID_KEY = "instance-id" GCE_TPU_WORKER_ID_KEY = "agent-worker-number" @@ -234,7 +237,7 @@ def set_current_process_visible_accelerator_ids( os.environ[TPU_HOST_BOUNDS_ENV_VAR] = TPU_SINGLE_HOST_BOUNDS @staticmethod - def _get_current_node_tpu_pod_type() -> Optional[str]: + def get_current_node_tpu_pod_type() -> Optional[str]: """Get the TPU pod type of the current node if applicable. Individual TPU VMs within a TPU pod must know what type @@ -293,7 +296,7 @@ def get_current_node_tpu_name() -> Optional[str]: return None @staticmethod - def _get_current_node_tpu_worker_id() -> Optional[int]: + def get_current_node_tpu_worker_id() -> Optional[int]: """Return the worker index of the TPU pod.""" try: # Start with GKE-based check @@ -312,7 +315,7 @@ def _get_current_node_tpu_worker_id() -> Optional[int]: @staticmethod def get_num_workers_in_current_tpu_pod() -> Optional[int]: """Return the total number of workers in a TPU pod.""" - tpu_pod_type = TPUAcceleratorManager._get_current_node_tpu_pod_type() + tpu_pod_type = TPUAcceleratorManager.get_current_node_tpu_pod_type() chips_per_host = TPUAcceleratorManager.get_current_node_num_accelerators() cores_per_chip = get_tpu_cores_per_chip(tpu_pod_type) # Hard-coded map. cores_per_host = chips_per_host * cores_per_chip @@ -327,6 +330,22 @@ def get_num_workers_in_current_tpu_pod() -> Optional[int]: logging.debug("Could not get num workers in TPU pod.") return None + @staticmethod + def get_current_node_tpu_topology() -> Optional[str]: + try: + # Attempt GKE based lookup first + if topology := os.environ.get(GKE_TPU_TOPOLOGY_ENV_VAR): + return topology + # GCE-based VM check using TPU env string. + tpu_env = _get_tpu_metadata(key=GCE_TPU_ENV_KEY) + if tpu_env: + topology = re.search(r"TOPOLOGY:\s*'([^']+)'", tpu_env) + if topology: + return topology.group(1) + except ValueError as e: + logging.debug("Could not get TPU topology: %s", e) + return None + @staticmethod def get_current_node_accelerator_type() -> Optional[str]: """Attempt to detect the TPU accelerator type. @@ -356,7 +375,7 @@ def tpu_pod_type_to_ray_accelerator_type( return "TPU-" + str(tpu_pod_type.split("-")[0].upper()) ray_accelerator_type = None - tpu_pod_type = TPUAcceleratorManager._get_current_node_tpu_pod_type() + tpu_pod_type = TPUAcceleratorManager.get_current_node_tpu_pod_type() if tpu_pod_type is not None: ray_accelerator_type = tpu_pod_type_to_ray_accelerator_type( @@ -373,6 +392,7 @@ def tpu_pod_type_to_ray_accelerator_type( return ray_accelerator_type + @staticmethod def get_current_node_additional_resources() -> Optional[Dict[str, float]]: """Get additional resources required for TPU nodes. @@ -416,8 +436,8 @@ def run_jax_fn(executable): """ resources = {} tpu_name = TPUAcceleratorManager.get_current_node_tpu_name() - worker_id = TPUAcceleratorManager._get_current_node_tpu_worker_id() - tpu_pod_type = TPUAcceleratorManager._get_current_node_tpu_pod_type() + worker_id = TPUAcceleratorManager.get_current_node_tpu_worker_id() + tpu_pod_type = TPUAcceleratorManager.get_current_node_tpu_pod_type() if tpu_name and worker_id is not None and tpu_pod_type: pod_head_resource_name = f"TPU-{tpu_pod_type}-head" @@ -437,3 +457,36 @@ def run_jax_fn(executable): if resources: return resources return None + + @staticmethod + def get_current_node_accelerator_labels() -> Dict[str, str]: + """Get default TPU-specific Ray node labels for the current node. + + For TPUs, these labels include: + - ray.io/tpu-slice-name: the name of the TPU Pod or slice + - ray.io/tpu-worker-id: the integer worker ID within the slice + - ray.io/tpu-topology: the TPU topology (e.g. 4x4) + - ray.io/tpu-pod-type: the TPU pod type (e.g. v4-8) + + Returns: + A dictionary of TPU label keys and resolved values. + """ + tpu_labels = {} + + tpu_name = TPUAcceleratorManager.get_current_node_tpu_name() + if tpu_name: + tpu_labels[ray._raylet.RAY_NODE_TPU_SLICE_NAME_KEY] = tpu_name + + worker_id = TPUAcceleratorManager.get_current_node_tpu_worker_id() + if worker_id is not None: + tpu_labels[ray._raylet.RAY_NODE_TPU_WORKER_ID_KEY] = str(worker_id) + + tpu_topology = TPUAcceleratorManager.get_current_node_tpu_topology() + if tpu_topology: + tpu_labels[ray._raylet.RAY_NODE_TPU_TOPOLOGY_KEY] = tpu_topology + + pod_type = TPUAcceleratorManager.get_current_node_tpu_pod_type() + if pod_type: + tpu_labels[ray._raylet.RAY_NODE_TPU_POD_TYPE_KEY] = pod_type + + return tpu_labels diff --git a/python/ray/_private/resource_and_label_spec.py b/python/ray/_private/resource_and_label_spec.py index f33b7d0a45fe..03c8efd0e119 100644 --- a/python/ray/_private/resource_and_label_spec.py +++ b/python/ray/_private/resource_and_label_spec.py @@ -10,6 +10,7 @@ from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX from ray._private import accelerators from ray._private.accelerators import AcceleratorManager +from ray._private.accelerators.tpu import TPUAcceleratorManager logger = logging.getLogger(__name__) @@ -291,6 +292,11 @@ def _get_default_labels( ray._raylet.RAY_NODE_ACCELERATOR_TYPE_KEY ] = accelerator_type + # Set TPU specific default labels to enable SPMD scheduling. + if isinstance(accelerator_manager, TPUAcceleratorManager): + tpu_labels = accelerator_manager.get_current_node_accelerator_labels() + default_labels.update(tpu_labels) + return default_labels def _resolve_labels( diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index f60efd9861d1..981aa1ee27be 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -783,3 +783,7 @@ cdef extern from "ray/common/constants.h" nogil: cdef const char[] kLabelKeyNodeRegion cdef const char[] kLabelKeyNodeZone cdef const char[] kLabelKeyNodeGroup + cdef const char[] kLabelKeyTpuTopology + cdef const char[] kLabelKeyTpuSliceName + cdef const char[] kLabelKeyTpuWorkerId + cdef const char[] kLabelKeyTpuPodType diff --git a/python/ray/includes/common.pxi b/python/ray/includes/common.pxi index b4c257a7b140..7b0660e3489b 100644 --- a/python/ray/includes/common.pxi +++ b/python/ray/includes/common.pxi @@ -23,6 +23,10 @@ from ray.includes.common cimport ( kLabelKeyNodeRegion, kLabelKeyNodeZone, kLabelKeyNodeGroup, + kLabelKeyTpuTopology, + kLabelKeyTpuSliceName, + kLabelKeyTpuWorkerId, + kLabelKeyTpuPodType, ) from ray.exceptions import ( @@ -138,7 +142,7 @@ GCS_AUTOSCALER_V2_ENABLED_KEY = kGcsAutoscalerV2EnabledKey.decode() GCS_AUTOSCALER_CLUSTER_CONFIG_KEY = kGcsAutoscalerClusterConfigKey.decode() GCS_PID_KEY = kGcsPidKey.decode() -# Ray node label related constants form src/ray/common/constants.h +# Ray node label related constants from src/ray/common/constants.h NODE_TYPE_NAME_ENV = kNodeTypeNameEnv.decode() NODE_MARKET_TYPE_ENV = kNodeMarketTypeEnv.decode() NODE_REGION_ENV = kNodeRegionEnv.decode() @@ -149,3 +153,9 @@ RAY_NODE_MARKET_TYPE_KEY = kLabelKeyNodeMarketType.decode() RAY_NODE_REGION_KEY = kLabelKeyNodeRegion.decode() RAY_NODE_ZONE_KEY = kLabelKeyNodeZone.decode() RAY_NODE_GROUP_KEY = kLabelKeyNodeGroup.decode() + +# TPU specifc Ray node label related constants +RAY_NODE_TPU_TOPOLOGY_KEY = kLabelKeyTpuTopology.decode() +RAY_NODE_TPU_SLICE_NAME_KEY = kLabelKeyTpuSliceName.decode() +RAY_NODE_TPU_WORKER_ID_KEY = kLabelKeyTpuWorkerId.decode() +RAY_NODE_TPU_POD_TYPE_KEY = kLabelKeyTpuPodType.decode() diff --git a/python/ray/tests/accelerators/test_tpu.py b/python/ray/tests/accelerators/test_tpu.py index 07f808e3c9a5..e0d405f60efd 100644 --- a/python/ray/tests/accelerators/test_tpu.py +++ b/python/ray/tests/accelerators/test_tpu.py @@ -99,7 +99,7 @@ def test_get_current_node_tpu_worker_id(mock_os, mock_request, test_case): mock_os.return_value = None else: mock_os.return_value = worker_id - assert TPUAcceleratorManager._get_current_node_tpu_worker_id() == expected_value + assert TPUAcceleratorManager.get_current_node_tpu_worker_id() == expected_value @pytest.mark.parametrize( @@ -246,12 +246,12 @@ def test_tpu_pod_detect_and_configure_worker(test_config): ): with patch( "ray._private.accelerators.tpu.TPUAcceleratorManager." - "_get_current_node_tpu_pod_type", + "get_current_node_tpu_pod_type", return_value="v4-16", ): with patch( "ray._private.accelerators.tpu.TPUAcceleratorManager" - "._get_current_node_tpu_worker_id", + ".get_current_node_tpu_worker_id", return_value=worker_id, ): final_resources = ( @@ -307,7 +307,7 @@ def test_worker_count(mock_glob, test_case): with patch( "ray._private.accelerators.tpu.TPUAcceleratorManager." - "_get_current_node_tpu_pod_type", + "get_current_node_tpu_pod_type", return_value=accelerator_type, ): worker_count = ray.util.accelerators.tpu.get_current_pod_worker_count() @@ -328,5 +328,30 @@ def test_num_tpu_chips(mock_glob): assert num_tpu_chips == 4 +def test_get_current_node_labels_env_only(monkeypatch): + # Simulate GKE TPU environment variables + monkeypatch.setenv("TPU_NAME", "tpu-worker-group-2") + monkeypatch.setenv("TPU_WORKER_ID", "0") + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v6e-16") + monkeypatch.setenv("TPU_TOPOLOGY", "4x4") + + tpu_labels = TPUAcceleratorManager.get_current_node_accelerator_labels() + + assert tpu_labels["ray.io/tpu-slice-name"] == "tpu-worker-group-2" + assert tpu_labels["ray.io/tpu-worker-id"] == "0" + assert tpu_labels["ray.io/tpu-topology"] == "4x4" + assert tpu_labels["ray.io/tpu-pod-type"] == "v6e-16" + + +def test_get_current_node_tpu_topology_from_metadata(): + tpu_env_string = "TPU_ACCELERATOR:v6e.\nTOPOLOGY: '2x2x4'\nTPU_HOST_BOUNDS:0,1,1,2" + + with patch( + "ray._private.accelerators.tpu._get_tpu_metadata", return_value=tpu_env_string + ): + topology = TPUAcceleratorManager.get_current_node_tpu_topology() + assert topology == "2x2x4" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/test_node_labels.py b/python/ray/tests/test_node_labels.py index 611639f14b79..02e2b9630b85 100644 --- a/python/ray/tests/test_node_labels.py +++ b/python/ray/tests/test_node_labels.py @@ -3,6 +3,8 @@ import pytest import subprocess import tempfile +from unittest.mock import patch +from ray._private.accelerators.tpu import TPUAcceleratorManager import ray from ray.cluster_utils import AutoscalingCluster @@ -181,5 +183,32 @@ def test_get_default_ray_node_labels(shutdown_only, monkeypatch): assert labels.get("ray.io/accelerator-type") == "TPU-V4" +def test_get_default_tpu_labels(shutdown_only, monkeypatch): + # Set env vars for this test + monkeypatch.setenv("TPU_NAME", "slice-0") + monkeypatch.setenv("TPU_WORKER_ID", "0") + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v6e-32") + monkeypatch.setenv("TPU_TOPOLOGY", "4x8") + + with patch( + "ray._private.accelerators.get_all_accelerator_resource_names", + return_value=["TPU"], + ), patch( + "ray._private.accelerators.get_accelerator_manager_for_resource", + return_value=TPUAcceleratorManager(), + ): + ray.init(resources={"TPU": 4}) + node_info = ray.nodes()[0] + labels = node_info["Labels"] + + assert labels.get("ray.io/accelerator-type") == "TPU-V6E" + + # TPU specific labels for SPMD + assert labels.get("ray.io/tpu-slice-name") == "slice-0" + assert labels.get("ray.io/tpu-worker-id") == "0" + assert labels.get("ray.io/tpu-topology") == "4x8" + assert labels.get("ray.io/tpu-pod-type") == "v6e-32" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/common/constants.h b/src/ray/common/constants.h index d940741a51f9..51d78b683bae 100644 --- a/src/ray/common/constants.h +++ b/src/ray/common/constants.h @@ -122,6 +122,22 @@ constexpr char kLabelKeyNodeZone[] = RAY_LABEL_KEY_PREFIX "availability-zone"; // The name of the head or worker group this Ray node is a part of. constexpr char kLabelKeyNodeGroup[] = RAY_LABEL_KEY_PREFIX "node-group"; +/// TPU specific default labels. Used for multi-host TPU workload scheduling. + +// The physical chip topology of the TPU accelerator of this Ray node. +constexpr char kLabelKeyTpuTopology[] = RAY_LABEL_KEY_PREFIX "tpu-topology"; + +// A unique identifier within the RayCluster for the TPU slice this Ray +// node is scheduled on. +constexpr char kLabelKeyTpuSliceName[] = RAY_LABEL_KEY_PREFIX "tpu-slice-name"; + +// A unique integer ID for a Ray node with TPU resources within the TPU slice +// it's scheduled on. Valid values are 0 to N-1 where N is the number of TPU hosts. +constexpr char kLabelKeyTpuWorkerId[] = RAY_LABEL_KEY_PREFIX "tpu-worker-id"; + +// A string representing the current TPU pod type, e.g. v6e-32. +constexpr char kLabelKeyTpuPodType[] = RAY_LABEL_KEY_PREFIX "tpu-pod-type"; + #undef RAY_LABEL_KEY_PREFIX /// All nodes implicitly have resources with this prefix and the quantity is 1. From bf9bfb98687fbbbd786cd09ad56cbc692823b3ed Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 4 Aug 2025 17:02:24 -0700 Subject: [PATCH 0484/1566] [ci] raydepsets: adding override and append UV flag fields (#54809) adding append_flags and override_flags fields to config to allow users to append and override default UV flags Removing shell=true from subprocess.run --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 93 ++++++++++++++++++++++++++++---------- ci/raydepsets/test_cli.py | 83 +++++++++++++++++++++++++++++----- ci/raydepsets/workspace.py | 4 ++ 3 files changed, 144 insertions(+), 36 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index b9653ae48d33..580601b0d943 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -5,23 +5,23 @@ import subprocess import platform import runfiles +from typing import Optional from networkx import DiGraph, topological_sort -DEFAULT_UV_FLAGS = [ - "--generate-hashes", - "--strip-extras", - "--python-version=3.11", - "--no-strip-markers", - "--emit-index-url", - "--emit-find-links", - "--unsafe-package ray", - "--unsafe-package grpcio-tools", - "--unsafe-package setuptools", - "--index-url https://pypi.org/simple", - "--extra-index-url https://download.pytorch.org/whl/cpu", - "--index-strategy unsafe-best-match", - "--quiet", -] +DEFAULT_UV_FLAGS = """ + --generate-hashes + --strip-extras + --no-strip-markers + --emit-index-url + --emit-find-links + --unsafe-package ray + --unsafe-package grpcio-tools + --unsafe-package setuptools + --index-url https://pypi.org/simple + --extra-index-url https://download.pytorch.org/whl/cpu + --index-strategy unsafe-best-match + --quiet +""".split() @click.group(name="raydepsets") @@ -85,9 +85,9 @@ def get_depset(self, name: str) -> Depset: raise KeyError(f"Dependency set {name} not found") def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: - cmd = f"{uv_binary()} pip {cmd} {' '.join(args)}" + cmd = [uv_binary(), "pip", cmd, *args] click.echo(f"Executing command: {cmd}") - status = subprocess.run(cmd, shell=True) + status = subprocess.run(cmd, cwd=self.workspace.dir) if status.returncode != 0: raise RuntimeError(f"Failed to execute command: {cmd}") return status.stdout @@ -97,15 +97,17 @@ def execute_single(self, depset: Depset): self.compile( constraints=depset.constraints, requirements=depset.requirements, - args=DEFAULT_UV_FLAGS.copy(), name=depset.name, output=depset.output, + append_flags=depset.append_flags, + override_flags=depset.override_flags, ) elif depset.operation == "subset": self.subset( source_depset=depset.source_depset, requirements=depset.requirements, - args=DEFAULT_UV_FLAGS.copy(), + append_flags=depset.append_flags, + override_flags=depset.override_flags, name=depset.name, output=depset.output, ) @@ -124,11 +126,17 @@ def compile( self, constraints: List[str], requirements: List[str], - args: List[str], name: str, output: str, + append_flags: Optional[List[str]] = None, + override_flags: Optional[List[str]] = None, ): """Compile a dependency set.""" + args = DEFAULT_UV_FLAGS.copy() + if override_flags: + args = _override_uv_flags(override_flags, args) + if append_flags: + args = _append_uv_flags(append_flags, args) if constraints: for constraint in constraints: args.extend(["-c", self.get_path(constraint)]) @@ -143,9 +151,10 @@ def subset( self, source_depset: str, requirements: List[str], - args: List[str], name: str, output: str = None, + append_flags: Optional[List[str]] = None, + override_flags: Optional[List[str]] = None, ): """Subset a dependency set.""" source_depset = self.get_depset(source_depset) @@ -153,9 +162,10 @@ def subset( self.compile( constraints=[source_depset.output], requirements=requirements, - args=args, name=name, output=output, + append_flags=append_flags, + override_flags=override_flags, ) def expand( @@ -163,9 +173,10 @@ def expand( depsets: List[str], requirements: List[str], constraints: List[str], - args: List[str], name: str, output: str = None, + append_flags: Optional[List[str]] = None, + override_flags: Optional[List[str]] = None, ): """Expand a dependency set.""" # handle both depsets and requirements @@ -178,9 +189,10 @@ def expand( self.compile( constraints=constraints, requirements=depset_req_list, - args=args, name=name, output=output, + append_flags=append_flags, + override_flags=override_flags, ) def get_path(self, path: str) -> str: @@ -194,6 +206,39 @@ def check_subset_exists(self, source_depset: Depset, requirements: List[str]): ) +def _flatten_flags(flags: List[str]) -> List[str]: + """ + Flatten a list of flags into a list of strings. + For example, ["--find-links https://pypi.org/simple"] will be flattened to + ["--find-links", "https://pypi.org/simple"]. + """ + flattened_flags = [] + for flag in flags: + flattened_flags.extend(flag.split()) + return flattened_flags + + +def _override_uv_flags(flags: List[str], args: List[str]) -> List[str]: + flag_names = {f.split()[0] for f in flags if f.startswith("--")} + new_args = [] + skip_next = False + for arg in args: + if skip_next: + skip_next = False + continue + if arg in flag_names: + skip_next = True + continue + new_args.append(arg) + + return new_args + _flatten_flags(flags) + + +def _append_uv_flags(flags: List[str], args: List[str]) -> List[str]: + args.extend(flags) + return args + + def uv_binary(): r = runfiles.Create() system = platform.system() diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 4604c96d7d67..0fbab4d9ad69 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -9,6 +9,9 @@ load, DependencySetManager, uv_binary, + _override_uv_flags, + _append_uv_flags, + _flatten_flags, Depset, DEFAULT_UV_FLAGS, ) @@ -102,7 +105,7 @@ def test_compile(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="ray_base_test_depset", output="requirements_compiled.txt", ) @@ -130,7 +133,7 @@ def test_compile_update_package(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="ray_base_test_depset", output="requirements_compiled.txt", ) @@ -179,7 +182,7 @@ def test_subset(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt", "requirements_test_subset.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="general_depset", output="requirements_compiled_general.txt", ) @@ -187,7 +190,7 @@ def test_subset(self): manager.subset( source_depset="general_depset", requirements=["requirements_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="subset_general_depset", output="requirements_compiled_subset_general.txt", ) @@ -213,7 +216,7 @@ def test_subset_does_not_exist(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt", "requirements_test_subset.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="general_depset", output="requirements_compiled_general.txt", ) @@ -222,7 +225,7 @@ def test_subset_does_not_exist(self): manager.subset( source_depset="general_depset", requirements=["requirements_compiled_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="subset_general_depset", output="requirements_compiled_subset_general.txt", ) @@ -240,6 +243,8 @@ def test_check_if_subset_exists(self): requirements=["requirements_1.txt", "requirements_2.txt"], constraints=["requirement_constraints_1.txt"], output="requirements_compiled_general.txt", + append_flags=[], + override_flags=[], ) with self.assertRaises(RuntimeError): manager.check_subset_exists( @@ -258,7 +263,6 @@ def test_compile_bad_requirements(self): manager.compile( constraints=[], requirements=["requirements_test_bad.txt"], - args=[], name="general_depset", output="requirements_compiled_general.txt", ) @@ -275,6 +279,61 @@ def test_get_path(self): == f"{tmpdir}/requirements_test.txt" ) + def test_append_uv_flags(self): + assert _append_uv_flags( + ["--no-annotate", "--no-header"], DEFAULT_UV_FLAGS.copy() + ) == DEFAULT_UV_FLAGS.copy() + ["--no-annotate", "--no-header"] + + def test_override_uv_flag_single_flag(self): + expected_flags = DEFAULT_UV_FLAGS.copy() + expected_flags.remove("--extra-index-url") + expected_flags.remove("https://download.pytorch.org/whl/cpu") + expected_flags.extend( + ["--extra-index-url", "https://download.pytorch.org/whl/cu128"] + ) + assert ( + _override_uv_flags( + ["--extra-index-url https://download.pytorch.org/whl/cu128"], + DEFAULT_UV_FLAGS.copy(), + ) + == expected_flags + ) + + def test_override_uv_flag_multiple_flags(self): + expected_flags = DEFAULT_UV_FLAGS.copy() + expected_flags.remove("--unsafe-package") + expected_flags.remove("ray") + expected_flags.remove("--unsafe-package") + expected_flags.remove("grpcio-tools") + expected_flags.remove("--unsafe-package") + expected_flags.remove("setuptools") + expected_flags.extend(["--unsafe-package", "dummy"]) + assert ( + _override_uv_flags( + ["--unsafe-package dummy"], + DEFAULT_UV_FLAGS.copy(), + ) + == expected_flags + ) + + def test_flatten_flags(self): + assert _flatten_flags(["--no-annotate", "--no-header"]) == [ + "--no-annotate", + "--no-header", + ] + assert _flatten_flags( + [ + "--no-annotate", + "--no-header", + "--extra-index-url https://download.pytorch.org/whl/cu128", + ] + ) == [ + "--no-annotate", + "--no-header", + "--extra-index-url", + "https://download.pytorch.org/whl/cu128", + ] + def test_build_graph(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) @@ -346,21 +405,21 @@ def test_expand(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="general_depset", output="requirements_compiled_general.txt", ) manager.compile( constraints=[], requirements=["requirements_expanded.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="expanded_depset", output="requirements_compiled_expanded.txt", ) manager.expand( depsets=["general_depset", "expanded_depset"], constraints=["requirement_constraints_expand.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], requirements=[], name="expand_general_depset", output="requirements_compiled_expand_general.txt", @@ -393,7 +452,7 @@ def test_expand_with_requirements(self): manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="general_depset", output="requirements_compiled_general.txt", ) @@ -401,7 +460,7 @@ def test_expand_with_requirements(self): depsets=["general_depset"], requirements=["requirements_expanded.txt"], constraints=["requirement_constraints_expand.txt"], - args=["--no-annotate", "--no-header"] + DEFAULT_UV_FLAGS.copy(), + append_flags=["--no-annotate", "--no-header"], name="expand_general_depset", output="requirements_compiled_expand_general.txt", ) diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index d88073082e01..3990fb461977 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -11,6 +11,8 @@ class Depset: requirements: List[str] constraints: List[str] output: str + override_flags: List[str] + append_flags: List[str] source_depset: Optional[str] = None depsets: Optional[List[str]] = None @@ -30,6 +32,8 @@ def from_dict(data: dict) -> "Config": operation=values.get("operation", "compile"), output=values.get("output"), source_depset=values.get("source_depset"), + override_flags=values.get("override_flags", []), + append_flags=values.get("append_flags", []), depsets=values.get("depsets", []), ) for values in raw_depsets From 5dd66dec86abcc537788499b51841e81290c5bd7 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 4 Aug 2025 18:19:07 -0700 Subject: [PATCH 0485/1566] [llm][ci] Run llm gpu tests less (#55224) Currently these llm gpu tests run on premerge for all changes that trigger the python ci tag. e.g. these tests will run on premerge for every core pr because any change in src/ triggers the python ci tag + the tests are flaky sometimes so it can make the problem worse https://github.com/ray-project/ray/blob/98f0732ea703e14596369a7383fdc4b801943c47/ci/pipeline/test_rules.txt#L217-L219 This changes it so only changes that trigger the llm or gpu tags will trigger these tests. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .buildkite/llm.rayci.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.buildkite/llm.rayci.yml b/.buildkite/llm.rayci.yml index aed4f7084c0c..46d05e7e1fb7 100644 --- a/.buildkite/llm.rayci.yml +++ b/.buildkite/llm.rayci.yml @@ -37,7 +37,6 @@ steps: - label: "llm gpu tests" key: "llm-gpu-tests" tags: - - python - llm - gpu instance_type: g6-large From 06472aeda17b90f76bb04bb468a259ae9a1184e8 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 4 Aug 2025 18:23:15 -0700 Subject: [PATCH 0486/1566] [llm] disable failing gpu test (#55232) the test starts failing, likely due to vllm upgrade. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/llm/tests/BUILD | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/tests/BUILD b/python/ray/llm/tests/BUILD index e40addace3f4..f4dcb3604e51 100644 --- a/python/ray/llm/tests/BUILD +++ b/python/ray/llm/tests/BUILD @@ -41,7 +41,11 @@ py_test_module_list( env = { "VLLM_FLASH_ATTN_VERSION": "2", }, - files = glob(["batch/gpu/**/test_*.py"]), + files = glob( + ["batch/gpu/**/test_*.py"], + # TODO(ray-llm): fix this test: https://github.com/ray-project/ray/issues/52074 + exclude = ["batch/gpu/processor/test_vllm_engine_proc.py"], + ), tags = [ "exclusive", "gpu", From 7a51745b654396632437926d538718b93a367ff7 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 4 Aug 2025 19:42:23 -0700 Subject: [PATCH 0487/1566] [core] Fix cancelled_tasks leak when dependency resolution is successfully cancelled (#55183) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_manager.cc | 2 +- .../test/dependency_resolver_test.cc | 2 +- .../transport/actor_task_submitter.cc | 6 ++-- .../transport/dependency_resolver.cc | 4 +-- .../transport/dependency_resolver.h | 5 ++- .../transport/normal_task_submitter.cc | 36 +++++++++---------- 6 files changed, 27 insertions(+), 28 deletions(-) diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index c1ee49d01ef2..689eb9fc10c2 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -1194,7 +1194,7 @@ void TaskManager::FailPendingTask(const TaskID &task_id, ray_error_info = nullptr; } - if ((status != nullptr) && status->IsIntentionalSystemExit()) { + if (status != nullptr && status->IsIntentionalSystemExit()) { // We don't mark intentional system exit as failures, such as tasks that // exit by exit_actor(), exit by ray.shutdown(), etc. These tasks are expected // to exit and not be marked as failure. diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index 24f8f519a0cf..ba817c92f675 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -443,7 +443,7 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { ASSERT_TRUE(!ok); ASSERT_TRUE(store->Put(*data, obj1)); - resolver.CancelDependencyResolution(task.TaskId()); + ASSERT_TRUE(resolver.CancelDependencyResolution(task.TaskId())); // Callback is not called. ASSERT_FALSE(ok); // Should not have inlined any dependencies. diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index 3c1d88d5704a..ad00f5499375 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -444,7 +444,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, task_manager_.MarkTaskNoRetry(task_id); // This task may have been waiting for dependency resolution, so cancel // this first. - resolver_.CancelDependencyResolution(task_id); + RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); bool fail_immediatedly = error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && @@ -716,7 +716,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // This task may have been waiting for dependency resolution, so cancel // this first. - resolver_.CancelDependencyResolution(task_id); + RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); will_retry = GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, @@ -900,7 +900,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv if (!dep_resolved) { RAY_LOG(DEBUG).WithField(task_id) << "Task has been resolving dependencies. Cancel to resolve dependencies"; - resolver_.CancelDependencyResolution(task_id); + RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); } RAY_LOG(DEBUG).WithField(task_id) << "Task was queued. Mark a task is canceled from a queue."; diff --git a/src/ray/core_worker/transport/dependency_resolver.cc b/src/ray/core_worker/transport/dependency_resolver.cc index c86d8889552b..f35fd39175e0 100644 --- a/src/ray/core_worker/transport/dependency_resolver.cc +++ b/src/ray/core_worker/transport/dependency_resolver.cc @@ -88,9 +88,9 @@ void InlineDependencies( } // namespace -void LocalDependencyResolver::CancelDependencyResolution(const TaskID &task_id) { +bool LocalDependencyResolver::CancelDependencyResolution(const TaskID &task_id) { absl::MutexLock lock(&mu_); - pending_tasks_.erase(task_id); + return pending_tasks_.erase(task_id) > 0; } void LocalDependencyResolver::ResolveDependencies( diff --git a/src/ray/core_worker/transport/dependency_resolver.h b/src/ray/core_worker/transport/dependency_resolver.h index 085133563df9..2d9624144017 100644 --- a/src/ray/core_worker/transport/dependency_resolver.h +++ b/src/ray/core_worker/transport/dependency_resolver.h @@ -61,10 +61,10 @@ class LocalDependencyResolver { /// Cancel resolution of the given task's dependencies. /// If cancellation succeeds, the registered callback will not be called. - void CancelDependencyResolution(const TaskID &task_id); + /// \return true if dependency resolution was successfully cancelled + bool CancelDependencyResolution(const TaskID &task_id); /// Return the number of tasks pending dependency resolution. - /// TODO(ekl) this should be exposed in worker stats. int64_t NumPendingTasks() const { absl::MutexLock lock(&mu_); return pending_tasks_.size(); @@ -77,7 +77,6 @@ class LocalDependencyResolver { const absl::flat_hash_set &actor_ids, std::function on_dependencies_resolved) : task(std::move(t)), - local_dependencies(), actor_dependencies_remaining(actor_ids.size()), status(Status::OK()), on_dependencies_resolved(std::move(on_dependencies_resolved)) { diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index efb6ad4d387d..c1963a45407b 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -30,9 +30,6 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { RAY_LOG(DEBUG) << "Submit task " << task_spec.TaskId(); resolver_.ResolveDependencies(task_spec, [this, task_spec](Status status) mutable { - // NOTE: task_spec here is capture copied (from a stack variable) and also - // mutable. (Mutations to the variable are expected to be shared inside and - // outside of this closure). task_manager_.MarkDependenciesResolved(task_spec.TaskId()); if (!status.ok()) { // TODO(https://github.com/ray-project/ray/issues/54871): There is a potential @@ -697,17 +694,18 @@ bool NormalTaskSubmitter::HandleGetTaskFailureCause( Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, bool force_kill, bool recursive) { - RAY_LOG(INFO) << "Cancelling a task: " << task_spec.TaskId() - << " force_kill: " << force_kill << " recursive: " << recursive; + const auto task_id = task_spec.TaskId(); + RAY_LOG(INFO) << "Cancelling a task: " << task_id << " force_kill: " << force_kill + << " recursive: " << recursive; SchedulingKey scheduling_key(task_spec.GetSchedulingClass(), task_spec.GetDependencyIds(), task_spec.GetRuntimeEnvHash()); std::shared_ptr client = nullptr; { absl::MutexLock lock(&mu_); - auto task_id = task_spec.TaskId(); generators_to_resubmit_.erase(task_id); + // For idempotency. if (cancelled_tasks_.contains(task_id)) { // The task cancel is already in progress. We don't need to do anything. return Status::OK(); @@ -725,30 +723,32 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, // a worker lease. if (!scheduling_tasks.empty()) { for (auto spec = scheduling_tasks.begin(); spec != scheduling_tasks.end(); spec++) { - if (spec->TaskId() == task_spec.TaskId()) { + if (spec->TaskId() == task_id) { scheduling_tasks.erase(spec); CancelWorkerLeaseIfNeeded(scheduling_key); - task_manager_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED); + task_manager_.FailPendingTask(task_id, rpc::ErrorType::TASK_CANCELLED); return Status::OK(); } } } - // This will get removed either when the RPC call to cancel is returned - // or when all dependencies are resolved. - RAY_CHECK(cancelled_tasks_.emplace(task_spec.TaskId()).second); - auto rpc_client = executing_tasks_.find(task_spec.TaskId()); + // This will get removed either when the RPC call to cancel is returned, when all + // dependencies are resolved, or when dependency resolution is successfully cancelled. + RAY_CHECK(cancelled_tasks_.emplace(task_id).second); + auto rpc_client = executing_tasks_.find(task_id); if (rpc_client == executing_tasks_.end()) { - // This case is reached for tasks that have unresolved dependencies. - if (failed_tasks_pending_failure_cause_.contains(task_spec.TaskId())) { + if (failed_tasks_pending_failure_cause_.contains(task_id)) { // We are waiting for the task failure cause. Do not fail it here; instead, // wait for the cause to come in and then handle it appropriately. } else { - resolver_.CancelDependencyResolution(task_spec.TaskId()); - RAY_UNUSED(task_manager_.FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED)); + // This case is reached for tasks that have unresolved dependencies. + if (resolver_.CancelDependencyResolution(task_id)) { + // ResolveDependencies callback will never be called if dependency resolution + // was successfully cancelled, so need to remove from the set here. + cancelled_tasks_.erase(task_id); + } + task_manager_.FailPendingTask(task_id, rpc::ErrorType::TASK_CANCELLED); } if (scheduling_key_entry.CanDelete()) { // We can safely remove the entry keyed by scheduling_key from the From 9976ec1895d7be14d2ef029fd135097d0942a240 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Tue, 5 Aug 2025 05:06:23 +0200 Subject: [PATCH 0488/1566] [wheel] add Python 3.13 classifier (#55194) since we are already publishing python 3.13 wheels on pypi Signed-off-by: Fokko Driesprong Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/setup.py b/python/setup.py index 950526d26184..0e115c8dddf0 100644 --- a/python/setup.py +++ b/python/setup.py @@ -766,6 +766,7 @@ def has_ext_modules(self): "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", ], packages=setup_spec.get_packages(), cmdclass={"build_ext": build_ext}, From 23b6c8f2282e409d0ffbd2be3e871ffb32d1327b Mon Sep 17 00:00:00 2001 From: "Han-Ru Chen (Future-Outlier)" Date: Tue, 5 Aug 2025 11:28:53 +0800 Subject: [PATCH 0489/1566] [Doc][KubeRay] fix typo in integration with Apache YuniKorn (#55233) Signed-off-by: Future-Outlier Signed-off-by: Douglas Strodtman --- doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md b/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md index 7ac3f69b75da..45b8b47e2d13 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/yunikorn.md @@ -12,7 +12,7 @@ This feature requires KubeRay version 1.2.2 or newer, and it's in alpha testing. ::: -## Step 1: Create a Kubernetes cluster with KinD +## Step 1: Create a Kubernetes cluster with Kind Run the following command in a terminal: ```shell From 071fbd75386358f36211947cc2ca3fcde0d8a2c2 Mon Sep 17 00:00:00 2001 From: dragongu <38997200+dragongu@users.noreply.github.com> Date: Tue, 5 Aug 2025 13:00:35 +0800 Subject: [PATCH 0490/1566] [Data] Add option for enabling out-of-order execution to optimize data processing performance (#54504) ## Why are these changes needed? By default, tasks submitted to a non-async Ray actor are executed serially. In scenarios with elastic resources (e.g., frequent preemptions, resource fluctuations), this can lead to a significant decrease in job throughput while resources are extremely low . Consider a task pipeline: `read_parquet -> map_batches A -> map_batches B -> write_parquet`: - `map_batches A` completes some tasks and outputs objects `a1`, `a2`, `a3`, `a4`. - It then submits actor tasks to `actor B`, corresponding to tasks `b1`, `b2`, `b3`, `b4`. - The worker hosting `object a1` crashes, and the object is lost. Due to insufficient resources, `actor A` remains in a long-term `restarting` state and cannot recover. - The head task `b1` in `actor B`'s queue cannot be scheduled due to the lost dependency `a1`, causing the actor to remain in a waiting state while occupying expensive GPU resources. My scenarios primarily involves elastic resources, characterized by: frequent preemptions, highly fluctuating available resources, and frequent sudden increases or decreases. During this process, I observed a large number of actors stuck in the `restarting` state, causing job throughput to drop almost to zero. Therefore, I propose allowing Ray Data actor tasks to be executed out of order. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: dragongu Signed-off-by: Balaji Veeramani Co-authored-by: Balaji Veeramani Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 7 +- doc/source/ray-core/actors/task-orders.rst | 6 +- python/ray/_common/ray_option_utils.py | 1 + python/ray/_private/worker.py | 5 + python/ray/_raylet.pyx | 10 +- python/ray/actor.py | 110 ++++++++---------- .../operators/actor_pool_map_operator.py | 8 ++ python/ray/includes/libcoreworker.pxd | 1 + python/ray/tests/test_actor_out_of_order.py | 42 +++++++ 9 files changed, 114 insertions(+), 76 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 5461deb2c6b0..fc1a4a81eccf 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -292,7 +292,7 @@ python/ray/_private/worker.py DOC102: Function `remote`: Docstring contains more arguments than in function signature. DOC106: Function `remote`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC111: Function `remote`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list - DOC103: Function `remote`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: , *args: ]. Arguments in the docstring but not in the function signature: [_labels: , _metadata: , accelerator_type: , label_selector: Dict[str, str], max_calls: , max_restarts: , max_retries: , max_task_retries: , memory: , num_cpus: , num_gpus: , num_returns: , resources: Dict[str, float], retry_exceptions: , runtime_env: Dict[str, Any], scheduling_strategy: ]. + DOC103: Function `remote`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: , *args: ]. Arguments in the docstring but not in the function signature: [_labels: , _metadata: , accelerator_type: , allow_out_of_order_execution: , label_selector: Dict[str, str], max_calls: , max_restarts: , max_retries: , max_task_retries: , memory: , num_cpus: , num_gpus: , num_returns: , resources: Dict[str, float], retry_exceptions: , runtime_env: Dict[str, Any], scheduling_strategy: ]. DOC201: Function `remote` does not have a return section in docstring -------------------- python/ray/actor.py @@ -320,13 +320,10 @@ python/ray/actor.py DOC102: Method `ActorClass.options`: Docstring contains more arguments than in function signature. DOC106: Method `ActorClass.options`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC111: Method `ActorClass.options`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list - DOC103: Method `ActorClass.options`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**actor_options: ]. Arguments in the docstring but not in the function signature: [_metadata: , accelerator_type: , enable_task_events: , label_selector: Dict[str, str], lifetime: , max_concurrency: , max_pending_calls: , max_restarts: , max_task_retries: , memory: , name: , namespace: , num_cpus: , num_gpus: , object_store_memory: , resources: Dict[str, float], runtime_env: Dict[str, Any], scheduling_strategy: ]. + DOC103: Method `ActorClass.options`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**actor_options: ]. Arguments in the docstring but not in the function signature: [_metadata: , accelerator_type: , allow_out_of_order_execution: , enable_task_events: , label_selector: Dict[str, str], lifetime: , max_concurrency: , max_pending_calls: , max_restarts: , max_task_retries: , memory: , name: , namespace: , num_cpus: , num_gpus: , object_store_memory: , resources: Dict[str, float], runtime_env: Dict[str, Any], scheduling_strategy: ]. DOC201: Method `ActorClass.options` does not have a return section in docstring - DOC102: Method `ActorClass._remote`: Docstring contains more arguments than in function signature. DOC106: Method `ActorClass._remote`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `ActorClass._remote`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC111: Method `ActorClass._remote`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list - DOC103: Method `ActorClass._remote`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**actor_options: ]. Arguments in the docstring but not in the function signature: [_labels: , enable_task_events: , lifetime: , max_concurrency: , max_pending_calls: , memory: , name: , namespace: , num_cpus: , num_gpus: , placement_group: , placement_group_bundle_index: , placement_group_capture_child_tasks: , resources: , runtime_env: Dict[str, Any], scheduling_strategy: ]. DOC107: Method `ActorHandle.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints DOC107: Method `ActorHandle._deserialization_helper`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints DOC104: Method `ActorHandle._deserialization_helper`: Arguments are the same in the docstring and the function signature, but are in a different order. diff --git a/doc/source/ray-core/actors/task-orders.rst b/doc/source/ray-core/actors/task-orders.rst index 24c62c492b4e..01ca2ed6e8c5 100644 --- a/doc/source/ray-core/actors/task-orders.rst +++ b/doc/source/ray-core/actors/task-orders.rst @@ -7,9 +7,9 @@ Synchronous, Single-Threaded Actor ---------------------------------- In Ray, an actor receives tasks from multiple submitters (including driver and workers). For tasks received from the same submitter, a synchronous, single-threaded actor executes -them in the order they were submitted, if the actor tasks never retry. -In other words, a given task will not be executed until previously submitted tasks from -the same submitter have finished execution. +them in the order they were submitted, unless you set ``allow_out_of_order_execution``, +or Ray retries tasks. In other words, a given task will not be executed until previously +submitted tasks from the same submitter have finished execution. For actors where `max_task_retries` is set to a non-zero number, the task execution order is not guaranteed when task retries occur. diff --git a/python/ray/_common/ray_option_utils.py b/python/ray/_common/ray_option_utils.py index 0ee1d6b0dda4..6ff64108f795 100644 --- a/python/ray/_common/ray_option_utils.py +++ b/python/ray/_common/ray_option_utils.py @@ -236,6 +236,7 @@ def issubclass_safe(obj: Any, cls_: type) -> bool: "max_pending_calls": _counting_option("max_pending_calls", default_value=-1), "namespace": Option((str, type(None))), "get_if_exists": Option(bool, default_value=False), + "allow_out_of_order_execution": Option((bool, type(None))), } # Priority is important here because during dictionary update, same key with higher diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 80ca04848f22..c4e999affbaa 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -3639,6 +3639,11 @@ def method(self): the default value is 3, and a value of -1 indicates infinite retries. See :ref:`task fault tolerance ` for more details. + allow_out_of_order_execution: Only for *actors*. Whether Ray executes actor + tasks out of order. If you're using multi-threaded (``max_concurrency > 1``) + or async actors, you can't set this to False. Defaults to True if you're + using multi-threaded or async actors, and False otherwise. Actor task + retries are always executed out of order. runtime_env (Dict[str, Any]): Specifies the runtime environment for this actor or task and its children. See :ref:`runtime-environments` for detailed documentation. diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 4ac8ad099bdc..213020019bb6 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3773,6 +3773,7 @@ cdef class CoreWorker: c_bool enable_task_events, labels, label_selector, + c_bool execute_out_of_order, ): cdef: CRayFunction ray_function @@ -3825,9 +3826,7 @@ cdef class CoreWorker: c_scheduling_strategy, serialized_runtime_env_info, c_concurrency_groups, - # execute_out_of_order for - # async or threaded actors. - is_asyncio or max_concurrency > 1, + execute_out_of_order, max_pending_calls, enable_task_events, c_labels, @@ -4109,6 +4108,7 @@ cdef class CoreWorker: dereference(c_actor_handle).ActorCreationTaskFunctionDescriptor()) max_task_retries = dereference(c_actor_handle).MaxTaskRetries() enable_task_events = dereference(c_actor_handle).EnableTaskEvents() + execute_out_of_order = dereference(c_actor_handle).ExecuteOutOfOrder() if language == Language.PYTHON: assert isinstance(actor_creation_function_descriptor, PythonFunctionDescriptor) @@ -4136,7 +4136,8 @@ cdef class CoreWorker: actor_method_cpu, actor_creation_function_descriptor, worker.current_cluster_and_job, - weak_ref=weak_ref) + weak_ref=weak_ref, + execute_out_of_order=execute_out_of_order) else: return ray.actor.ActorHandle(language, actor_id, 0, # max_task_retries, @@ -4154,6 +4155,7 @@ cdef class CoreWorker: actor_creation_function_descriptor, worker.current_cluster_and_job, weak_ref=weak_ref, + execute_out_of_order=execute_out_of_order, ) def deserialize_and_register_actor_handle(self, const c_string &bytes, diff --git a/python/ray/actor.py b/python/ray/actor.py index 9f03a2c6b979..d34e547466a3 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -1,33 +1,32 @@ import inspect import logging from typing import ( + TYPE_CHECKING, Any, + Callable, Dict, + Generic, List, Literal, Optional, Tuple, - Union, - TYPE_CHECKING, TypeVar, - Generic, - Callable, + Union, overload, ) try: - from typing import ParamSpec - from typing import Concatenate + from typing import Concatenate, ParamSpec except ImportError: - from typing_extensions import ParamSpec - from typing_extensions import Concatenate + from typing_extensions import Concatenate, ParamSpec -import ray._private.ray_constants as ray_constants -from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC import ray._common.signature as signature +import ray._private.ray_constants as ray_constants import ray._raylet -from ray import ActorClassID, Language, cross_language, ObjectRef +from ray import ActorClassID, Language, ObjectRef, cross_language from ray._common import ray_option_utils +from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC +from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.async_compat import has_async_methods from ray._private.auto_init_hook import wrap_auto_init from ray._private.client_mode_hook import ( @@ -35,12 +34,14 @@ client_mode_hook, client_mode_should_convert, ) +from ray._private.custom_types import ( + TensorTransportEnum, +) from ray._private.inspect_util import ( is_class_method, is_function_or_method, is_static_method, ) -from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.utils import get_runtime_env_info, parse_runtime_env_for_task_or_actor from ray._raylet import ( STREAMING_GENERATOR_RETURN, @@ -60,9 +61,6 @@ _tracing_actor_creation, _tracing_actor_method_invocation, ) -from ray._private.custom_types import ( - TensorTransportEnum, -) if TYPE_CHECKING: pass @@ -1349,6 +1347,11 @@ def options(self, **actor_options): concurrency defaults to 1 for threaded execution, and 1000 for asyncio execution. Note that the execution order is not guaranteed when max_concurrency > 1. + allow_out_of_order_execution: Only for *actors*. Whether Ray executes actor + tasks out of order. If you're using multi-threaded + (``max_concurrency > 1``) or async actors, you can't set this to False. + Defaults to True if you're using multi-threaded or async actors, and + False otherwise. Actor task retries are always executed out of order. name: The globally unique name for the actor, which can be used to retrieve the actor via ray.get_actor(name) as long as the actor is still alive. @@ -1445,55 +1448,8 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: Args: args: The arguments to forward to the actor constructor. kwargs: The keyword arguments to forward to the actor constructor. - num_cpus: The number of CPUs required by the actor creation task. - num_gpus: The number of GPUs required by the actor creation task. - memory: Restrict the heap memory usage of this actor. - resources: The custom resources required by the actor creation - task. - max_concurrency: The max number of concurrent calls to allow for - this actor. This only works with direct actor calls. The max - concurrency defaults to 1 for threaded execution, and 1000 for - asyncio execution. Note that the execution order is not - guaranteed when max_concurrency > 1. - name: The globally unique name for the actor, which can be used - to retrieve the actor via ray.get_actor(name) as long as the - actor is still alive. - namespace: Override the namespace to use for the actor. By default, - actors are created in an anonymous namespace. The actor can - be retrieved via ray.get_actor(name=name, namespace=namespace). - lifetime: Either `None`, which defaults to the actor will fate - share with its creator and will be deleted once its refcount - drops to zero, or "detached", which means the actor will live - as a global object independent of the creator. - placement_group: (This has been deprecated, please use - `PlacementGroupSchedulingStrategy` scheduling_strategy) - the placement group this actor belongs to, - or None if it doesn't belong to any group. Setting to "default" - autodetects the placement group based on the current setting of - placement_group_capture_child_tasks. - placement_group_bundle_index: (This has been deprecated, please use - `PlacementGroupSchedulingStrategy` scheduling_strategy) - the index of the bundle - if the actor belongs to a placement group, which may be -1 to - specify any available bundle. - placement_group_capture_child_tasks: (This has been deprecated, - please use `PlacementGroupSchedulingStrategy` - scheduling_strategy) - Whether or not children tasks - of this actor should implicitly use the same placement group - as its parent. It is False by default. - runtime_env (Dict[str, Any]): Specifies the runtime environment for - this actor or task and its children (see - :ref:`runtime-environments` for details). - max_pending_calls: Set the max number of pending calls - allowed on the actor handle. When this value is exceeded, - PendingCallsLimitExceeded will be raised for further tasks. - Note that this limit is counted per handle. -1 means that the - number of pending calls is unlimited. - scheduling_strategy: Strategy about how to schedule this actor. - enable_task_events: True if tracing is enabled, i.e., task events from - the actor should be reported. Defaults to True. - _labels: The key-value labels of the actor. + **actor_options: Keyword arguments for configuring the actor options. + See ``ActorClass.options`` for more details. Returns: A handle to the newly created actor. @@ -1752,6 +1708,26 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: ) ) + execute_out_of_order = actor_options.get("allow_out_of_order_execution") + + # If the actor is async or multi-threaded, default to out-of-order execution. + if execute_out_of_order is None: + execute_out_of_order = is_asyncio or max_concurrency > 1 + + if is_asyncio and not execute_out_of_order: + raise ValueError( + "If you're using async actors, Ray can't execute actor tasks in order. " + "Set `allow_out_of_order_execution=True` to allow out-of-order " + "execution." + ) + + elif max_concurrency > 1 and not execute_out_of_order: + raise ValueError( + "If you're using multi-threaded actors, Ray can't execute actor tasks " + "in order. Set `allow_out_of_order_execution=True` to allow " + "out-of-order execution." + ) + actor_id = worker.core_worker.create_actor( meta.language, meta.actor_creation_function_descriptor, @@ -1774,6 +1750,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: enable_task_events=enable_task_events, labels=actor_options.get("_labels"), label_selector=actor_options.get("label_selector"), + execute_out_of_order=execute_out_of_order, ) if _actor_launch_hook: @@ -1799,6 +1776,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: meta.actor_creation_function_descriptor, worker.current_cluster_and_job, original_handle=True, + execute_out_of_order=execute_out_of_order, ) return actor_handle @@ -1868,6 +1846,7 @@ class ActorHandle(Generic[T]): _ray_is_cross_language: Whether this actor is cross language. _ray_actor_creation_function_descriptor: The function descriptor of the actor creation task. + _ray_execute_out_of_order: Whether the actor can execute tasks out of order. """ def __init__( @@ -1890,6 +1869,7 @@ def __init__( cluster_and_job, original_handle=False, weak_ref: bool = False, + execute_out_of_order: Optional[bool] = None, ): """Initialize an ActorHandle. @@ -1912,6 +1892,7 @@ def __init__( cluster_and_job: The cluster and job information. original_handle: Whether this is the original actor handle. weak_ref: Whether this is a weak reference to the actor. + execute_out_of_order: Whether the actor can execute tasks out of order. """ self._ray_actor_language = language self._ray_actor_id = actor_id @@ -1919,6 +1900,7 @@ def __init__( self._ray_original_handle = original_handle self._ray_weak_ref = weak_ref self._ray_enable_task_events = enable_task_events + self._ray_execute_out_of_order = execute_out_of_order self._ray_method_is_generator = method_is_generator self._ray_method_decorators = method_decorators diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 07fa6c3d06ee..f2fc258d397c 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -460,6 +460,14 @@ def _apply_default_remote_args( and ray_remote_args.get("max_restarts") != 0 ): ray_remote_args["max_task_retries"] = -1 + + # Allow actor tasks to execute out of order by default. This prevents actors + # from idling when the first actor task is blocked. + # + # `MapOperator` should still respect `preserve_order` in this case. + if "allow_out_of_order_execution" not in ray_remote_args: + ray_remote_args["allow_out_of_order_execution"] = True + return ray_remote_args def get_autoscaling_actor_pools(self) -> List[AutoscalingActorPool]: diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 017299615aec..42efb5c31ad1 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -116,6 +116,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int MaxPendingCalls() const int MaxTaskRetries() const c_bool EnableTaskEvents() const + c_bool ExecuteOutOfOrder() const cdef cppclass CCoreWorker "ray::core::CoreWorker": CWorkerType GetWorkerType() diff --git a/python/ray/tests/test_actor_out_of_order.py b/python/ray/tests/test_actor_out_of_order.py index 15cabfab3339..d065e9339020 100644 --- a/python/ray/tests/test_actor_out_of_order.py +++ b/python/ray/tests/test_actor_out_of_order.py @@ -51,6 +51,48 @@ async def echo(self, inp): assert ray.get(out_ref_2, timeout=5) == 2 +class TestAllowOutOfOrderExecutionValidation: + @pytest.fixture(scope="class", autouse=True) + def start_ray_cluster(self): + ray.init() + yield + ray.shutdown() + + def test_options_with_in_order_async_actor_raises_error(self): + @ray.remote + class Actor: + async def method(self): + pass + + with pytest.raises(ValueError): + Actor.options(allow_out_of_order_execution=False).remote() + + def test_remote_with_in_order_concurrent_actor_raises_error(self): + class Actor: + async def method(self): + pass + + with pytest.raises(ValueError): + ray.remote(allow_out_of_order_execution=False)(Actor).remote() + + def test_options_with_in_order_multi_threaded_actor_raises_error(self): + @ray.remote(max_concurrency=2) + class Actor: + pass + + with pytest.raises(ValueError): + Actor.options(allow_out_of_order_execution=False).remote() + + def test_remote_with_in_order_multi_threaded_actor_raises_error(self): + class Actor: + pass + + with pytest.raises(ValueError): + ray.remote(max_concurrency=2, allow_out_of_order_execution=False)( + Actor + ).remote() + + if __name__ == "__main__": # Test suite is timing out. Disable on windows for now. sys.exit(pytest.main(["-sv", __file__])) From eb8b7a36dceccca1ad9dc40c9348aa8d4c7504f6 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 02:02:48 -0700 Subject: [PATCH 0491/1566] [rllib] remove rllib contrib stuff (#55182) they do not run anywhere, and code is probably all dead by now Signed-off-by: Lonnie Liu Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- ci/ray_ci/rllib_contrib/rllib_contrib_ci.sh | 195 -------- release/rllib_contrib/learning_tests/run.py | 70 --- .../yaml_files/a2c/a2c-breakout-v5.yaml | 22 - .../a3c/a3c-pongdeterministic-v5.yaml | 40 -- .../apex/apex-breakoutnoframeskip-v5.yaml | 37 -- .../yaml_files/ddpg/ddpg-halfcheetah-v4.yaml | 45 -- .../yaml_files/es/es-humanoid-v4.yaml | 11 - .../slateq-interest-evolution-recsim-env.yaml | 41 -- .../yaml_files/td3/td3-halfcheetah-v4.yaml | 14 - .../rllib_contrib_learning_tests.yaml | 426 ------------------ 10 files changed, 901 deletions(-) delete mode 100755 ci/ray_ci/rllib_contrib/rllib_contrib_ci.sh delete mode 100644 release/rllib_contrib/learning_tests/run.py delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/a2c/a2c-breakout-v5.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/a3c/a3c-pongdeterministic-v5.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/apex/apex-breakoutnoframeskip-v5.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/ddpg/ddpg-halfcheetah-v4.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/es/es-humanoid-v4.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/slateq/slateq-interest-evolution-recsim-env.yaml delete mode 100644 release/rllib_contrib/learning_tests/yaml_files/td3/td3-halfcheetah-v4.yaml delete mode 100644 release/rllib_contrib/rllib_contrib_learning_tests.yaml diff --git a/ci/ray_ci/rllib_contrib/rllib_contrib_ci.sh b/ci/ray_ci/rllib_contrib/rllib_contrib_ci.sh deleted file mode 100755 index c053331ebdb7..000000000000 --- a/ci/ray_ci/rllib_contrib/rllib_contrib_ci.sh +++ /dev/null @@ -1,195 +0,0 @@ -#!/bin/bash -i -# shellcheck disable=SC2046 - -set -exuo pipefail - -PYTHON="3.9" - -build() { - LIB=$1 - conda create -n rllib_contrib python="$PYTHON" -y - conda activate rllib_contrib - (cd rllib_contrib/"$LIB" && pip install -r requirements.txt && pip install -e ".[development]") - ./ci/env/env_info.sh - # Download files needed for running the bazel tests. - wget https://raw.githubusercontent.com/ray-project/ray/releases/2.5.1/rllib/tests/run_regression_tests.py -P rllib_contrib/"$LIB"/ -} - -test_a2c() { - build "a2c" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/a2c/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/a2c/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests,-no_tf_eager_tracing --test_arg=--framework=tf2 rllib_contrib/a2c/... -} - -test_alpha_star() { - build "alpha_star" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/alpha_star/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/alpha_star/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=tf2 rllib_contrib/alpha_star/... -} - -test_alpha_zero() { - build "alpha_zero" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/alpha_zero/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/alpha_zero/... -} - -test_apex_ddpg() { - build "apex_ddpg" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/apex_ddpg/... -} - -test_apex_dqn() { - build "apex_dqn" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/apex_dqn/... -} - -test_ars() { - build "ars" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/ars/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/ars/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=tf2 rllib_contrib/ars/... -} - -test_bandit() { - build "bandit" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/bandit/... -} - -test_ddpg() { - build "ddpg" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/ddpg/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/ddpg/... -} - -test_es() { - build "es" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/es/... -} - -test_maddpg() { - build "maddpg" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/maddpg/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=tf rllib_contrib/maddpg/... -} - -test_maml() { - sudo apt install libosmesa6-dev libgl1-mesa-glx libglfw3 patchelf -y - mkdir -p /root/.mujoco - wget https://github.com/google-deepmind/mujoco/releases/download/2.1.1/mujoco-2.1.1-linux-x86_64.tar.gz - mv mujoco-2.1.1-linux-x86_64.tar.gz /root/.mujoco/. - (cd /root/.mujoco && tar -xf /root/.mujoco/mujoco-2.1.1-linux-x86_64.tar.gz) - export LD_LIBRARY_PATH=/root/.mujoco/mujoco-2.1.1/bin - build "maml" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/maml/... -} - -test_pg() { - build "pg" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/pg/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/pg/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests,-no_tf_eager_tracing --test_arg=--framework=tf2 rllib_contrib/pg/... -} - -test_qmix() { - build "qmix" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/qmix/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/qmix/... -} - -test_r2d2() { - build "r2d2" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/r2d2/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/r2d2/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests,-no_tf_eager_tracing --test_arg=--framework=tf2 rllib_contrib/r2d2/... -} - -test_simple_q() { - build "simple_q" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/simple_q/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/simple_q/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests,-no_tf_eager_tracing --test_arg=--framework=tf2 rllib_contrib/simple_q/... -} - -test_slate_q() { - build "slate_q" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/slate_q/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/slate_q/... -} - -test_a3c() { - build "a3c" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/a3c/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/a3c/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=tf2 rllib_contrib/a3c/... -} - -test_crr() { - build "crr" - wget https://raw.githubusercontent.com/ray-project/ray/master/rllib/tests/data/pendulum/pendulum_replay_v1.1.0.zip -P rllib_contrib/crr/tuned_examples/ - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/crr/... -} - -test_ddppo() { - build "ddppo" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/ddppo/... - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,learning_tests --test_arg=--framework=torch rllib_contrib/ddppo/... -} - -test_dt() { - build "dt" - wget https://github.com/ray-project/ray/raw/releases/2.5.1/rllib/tests/data/pendulum/pendulum_expert_sac_50eps.zip -P rllib_contrib/dt/tuned_examples/ - wget https://github.com/ray-project/ray/raw/releases/2.5.1/rllib/tests/data/pendulum/pendulum_medium_sac_50eps.zip -P rllib_contrib/dt/tuned_examples/ - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky,-learning_tests rllib_contrib/dt/... -} - -test_leela_chess_zero() { - build "leela_chess_zero" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/leela_chess_zero/... -} - -test_mbmpo() { - # Install mujoco necessary for the testing environments - sudo apt install libosmesa6-dev libgl1-mesa-glx libglfw3 patchelf -y - mkdir -p /root/.mujoco - wget https://github.com/google-deepmind/mujoco/releases/download/2.1.1/mujoco-2.1.1-linux-x86_64.tar.gz - mv mujoco-2.1.1-linux-x86_64.tar.gz /root/.mujoco/. - (cd /root/.mujoco && tar -xf /root/.mujoco/mujoco-2.1.1-linux-x86_64.tar.gz) - # shellcheck disable=SC2016 - echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/root/.mujoco/mujoco-2.1.1/bin' >> /root/.bashrc - source /root/.bashrc - # build - build "mbmpo" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/mbmpo/... -} - -test_td3() { - build "td3" - # BAZEL (learning and compilation) tests: - bazel test --config=ci $(./ci/run/bazel_export_options) --build_tests_only --test_tag_filters=-flaky rllib_contrib/td3/... -} - -"$@" diff --git a/release/rllib_contrib/learning_tests/run.py b/release/rllib_contrib/learning_tests/run.py deleted file mode 100644 index 35b959ad8f57..000000000000 --- a/release/rllib_contrib/learning_tests/run.py +++ /dev/null @@ -1,70 +0,0 @@ -"""Learning regression tests for RLlib (torch and tf). - -Runs Atari/MuJoCo benchmarks for all major algorithms. -""" - -import json -import os -from pathlib import Path - -from ray.rllib.utils.test_utils import run_learning_tests_from_yaml - -if __name__ == "__main__": - import argparse - - parser = argparse.ArgumentParser() - parser.add_argument( - "--smoke-test", - action="store_true", - default=False, - help="Finish quickly for training.", - ) - parser.add_argument( - "--yaml-sub-dir", - type=str, - default="", - help="Sub directory under yaml_files/ to look for test files.", - ) - parser.add_argument( - "--framework", - type=str, - default="tf", - help="The framework (tf|tf2|torch) to use.", - ) - args = parser.parse_args() - - assert args.yaml_sub_dir, "--yaml-sub-dir can't be empty." - - # Get path of this very script to look for yaml files. - abs_yaml_path = os.path.join( - str(Path(__file__).parent), "yaml_files", args.yaml_sub_dir - ) - print("abs_yaml_path={}".format(abs_yaml_path)) - - yaml_files = Path(abs_yaml_path).rglob("*.yaml") - yaml_files = sorted( - map(lambda path: str(path.absolute()), yaml_files), reverse=True - ) - - # Run all tests in the found yaml files. - results = run_learning_tests_from_yaml( - yaml_files=yaml_files, - # Note(jungong) : run learning tests to full desired duration - # for performance regression purpose. - # Talk to jungong@ if you have questions about why we do this. - use_pass_criteria_as_stop=False, - smoke_test=args.smoke_test, - framework=args.framework, - ) - - test_output_json = os.environ.get("TEST_OUTPUT_JSON", "/tmp/learning_test.json") - with open(test_output_json, "wt") as f: - json.dump(results, f) - - if len(results["not_passed"]) > 0: - raise ValueError( - "Not all learning tests successfully learned the tasks.\n" - f"Results=\n{results}" - ) - else: - print("Ok.") diff --git a/release/rllib_contrib/learning_tests/yaml_files/a2c/a2c-breakout-v5.yaml b/release/rllib_contrib/learning_tests/yaml_files/a2c/a2c-breakout-v5.yaml deleted file mode 100644 index a927c692ccbd..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/a2c/a2c-breakout-v5.yaml +++ /dev/null @@ -1,22 +0,0 @@ -a2c-breakoutnoframeskip-v5: - env: ale_py:ALE/Breakout-v5 - run: A2C - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 50.0 - timesteps_total: 5000000 - stop: - time_total_s: 7200 - config: - env_config: - frameskip: 1 # no frameskip - train_batch_size: 500 - rollout_fragment_length: auto - clip_rewards: True - num_workers: 5 - num_envs_per_env_runner: 5 - num_gpus: 1 - lr_schedule: [ - [0, 0.0007], - [20000000, 0.000000000001], - ] diff --git a/release/rllib_contrib/learning_tests/yaml_files/a3c/a3c-pongdeterministic-v5.yaml b/release/rllib_contrib/learning_tests/yaml_files/a3c/a3c-pongdeterministic-v5.yaml deleted file mode 100644 index fe6ffb752729..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/a3c/a3c-pongdeterministic-v5.yaml +++ /dev/null @@ -1,40 +0,0 @@ -a3c-pongdeterministic-v5: - env: ale_py:ALE/Pong-v5 - run: A3C - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 18.0 - timesteps_total: 5000000 - stop: - time_total_s: 3600 - config: - # Make analogous to old v4 + NoFrameskip. - env_config: - repeat_action_probability: 0.0 - frameskip: 4 - full_action_space: false - num_gpus: 0 - num_workers: 16 - max_requests_in_flight_per_sampler_worker: 1 - rollout_fragment_length: 20 - vf_loss_coeff: 0.5 - entropy_coeff: 0.01 - gamma: 0.99 - grad_clip: 40.0 - lambda: 1.0 - lr: 0.0001 - observation_filter: NoFilter - preprocessor_pref: rllib - model: - use_lstm: true - conv_activation: elu - dim: 42 - grayscale: true - zero_mean: false - # Reduced channel depth and kernel size from default. - conv_filters: [ - [32, [3, 3], 2], - [32, [3, 3], 2], - [32, [3, 3], 2], - [32, [3, 3], 2], - ] diff --git a/release/rllib_contrib/learning_tests/yaml_files/apex/apex-breakoutnoframeskip-v5.yaml b/release/rllib_contrib/learning_tests/yaml_files/apex/apex-breakoutnoframeskip-v5.yaml deleted file mode 100644 index fd51e4365cdf..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/apex/apex-breakoutnoframeskip-v5.yaml +++ /dev/null @@ -1,37 +0,0 @@ -apex-breakoutnoframeskip-v5: - env: ale_py:ALE/Breakout-v5 - run: APEX - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 100.0 - timesteps_total: 12000000 - stop: - time_total_s: 7200 - config: - # Make analogous to old v4 + NoFrameskip. - env_config: - frameskip: 1 - full_action_space: false - repeat_action_probability: 0.0 - double_q: false - dueling: false - num_atoms: 1 - noisy: false - n_step: 3 - lr: 0.001 - grad_clip: 40.0 - adam_epsilon: .00015 - hiddens: [512] - replay_buffer_config: - capacity: 1000000 - prioritized_replay_alpha: 0.5 - exploration_config: - epsilon_timesteps: 200000 - final_epsilon: 0.01 - num_gpus: 1 - num_workers: 16 - num_envs_per_env_runner: 8 - rollout_fragment_length: 20 - train_batch_size: 512 - target_network_update_freq: 50000 - min_sample_timesteps_per_iteration: 25000 diff --git a/release/rllib_contrib/learning_tests/yaml_files/ddpg/ddpg-halfcheetah-v4.yaml b/release/rllib_contrib/learning_tests/yaml_files/ddpg/ddpg-halfcheetah-v4.yaml deleted file mode 100644 index db07c148872b..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/ddpg/ddpg-halfcheetah-v4.yaml +++ /dev/null @@ -1,45 +0,0 @@ -ddpg-halfcheetah-v4: - env: HalfCheetah-v4 - run: DDPG - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 1000.0 - timesteps_total: 100000 - stop: - time_total_s: 3600 - config: - actor_hiddens: [256, 256] - critic_hiddens: [256, 256] - n_step: 3 - rollout_fragment_length: auto - model: {} - gamma: 0.99 - env_config: {} - exploration_config: - initial_scale: 1.0 - final_scale: 0.02 - scale_timesteps: 10000 - ou_base_scale: 0.1 - ou_theta: 0.15 - ou_sigma: 0.2 - min_sample_timesteps_per_iteration: 1000 - target_network_update_freq: 0 - tau: 0.001 - replay_buffer_config: - capacity: 10000 - type: MultiAgentPrioritizedReplayBuffer - prioritized_replay_alpha: 0.6 - prioritized_replay_beta: 0.4 - prioritized_replay_eps: 0.000001 - worker_side_prioritization: false - num_steps_sampled_before_learning_starts: 500 - clip_rewards: false - actor_lr: 0.001 - critic_lr: 0.001 - use_huber: true - huber_threshold: 1.0 - l2_reg: 0.000001 - train_batch_size: 48 - num_gpus: 1 - num_workers: 0 - num_gpus_per_worker: 0 diff --git a/release/rllib_contrib/learning_tests/yaml_files/es/es-humanoid-v4.yaml b/release/rllib_contrib/learning_tests/yaml_files/es/es-humanoid-v4.yaml deleted file mode 100644 index 90825f64217f..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/es/es-humanoid-v4.yaml +++ /dev/null @@ -1,11 +0,0 @@ -es-humanoid-v4: - env: Humanoid-v4 - run: ES - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 100.0 - timesteps_total: 5000000 - stop: - time_total_s: 3600 - config: - num_workers: 50 diff --git a/release/rllib_contrib/learning_tests/yaml_files/slateq/slateq-interest-evolution-recsim-env.yaml b/release/rllib_contrib/learning_tests/yaml_files/slateq/slateq-interest-evolution-recsim-env.yaml deleted file mode 100644 index d7170509d8e1..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/slateq/slateq-interest-evolution-recsim-env.yaml +++ /dev/null @@ -1,41 +0,0 @@ -slateq-interest-evolution-recsim-env: - env: ray.rllib.examples.env.recommender_system_envs_with_recsim.InterestEvolutionRecSimEnv - run: SlateQ - pass_criteria: - sampler_results/episode_reward_mean: 160.0 - timesteps_total: 300000 - stop: - time_total_s: 7200 - config: - # increase num sampling workers for faster sampling. - num_workers: 12 - # RLlib/RecSim wrapper specific settings: - env_config: - # Env class specified above takes one `config` arg in its c'tor: - config: - # Each step, sample `num_candidates` documents using the env-internal - # document sampler model (a logic that creates n documents to select - # the slate from). - resample_documents: true - num_candidates: 50 - # How many documents to recommend (out of `num_candidates`) each - # timestep? - slate_size: 2 - # Should the action space be purely Discrete? Useful for algos that - # don't support MultiDiscrete (e.g. DQN or Bandits). - # SlateQ handles MultiDiscrete action spaces. - convert_to_discrete_action_space: false - seed: 0 - - num_gpus: 1 - - exploration_config: - warmup_timesteps: 20000 - epsilon_timesteps: 70000 - - replay_buffer_config: - capacity: 500000 - - lr: 0.00025 - - metrics_num_episodes_for_smoothing: 200 diff --git a/release/rllib_contrib/learning_tests/yaml_files/td3/td3-halfcheetah-v4.yaml b/release/rllib_contrib/learning_tests/yaml_files/td3/td3-halfcheetah-v4.yaml deleted file mode 100644 index 96d4381c7dbe..000000000000 --- a/release/rllib_contrib/learning_tests/yaml_files/td3/td3-halfcheetah-v4.yaml +++ /dev/null @@ -1,14 +0,0 @@ -td3-halfcheetah-v4: - env: HalfCheetah-v4 - run: TD3 - # Minimum reward and total ts (in given time_total_s) to pass this test. - pass_criteria: - sampler_results/episode_reward_mean: 400.0 - timesteps_total: 1000000 - stop: - time_total_s: 3600 - config: - num_gpus: 1 - num_steps_sampled_before_learning_starts: 10000 - exploration_config: - random_timesteps: 10000 diff --git a/release/rllib_contrib/rllib_contrib_learning_tests.yaml b/release/rllib_contrib/rllib_contrib_learning_tests.yaml deleted file mode 100644 index 87773ba1c863..000000000000 --- a/release/rllib_contrib/rllib_contrib_learning_tests.yaml +++ /dev/null @@ -1,426 +0,0 @@ -# -------------------------- -# A2C -# -------------------------- -- name: rllib_learning_tests_a2c_tf - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=a2c --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - -- name: rllib_learning_tests_a2c_torch - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=a2c --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - -# -------------------------- -# A3C -# -------------------------- -- name: rllib_learning_tests_a3c_tf - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 32cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=a3c --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 32cpus_gce.yaml - - -# -------------------------- -# APEX-DQN -# -------------------------- -- name: rllib_learning_tests_apex_dqn_tf - group: RLlib tests - working_dir: rllib_tests - - # Marking as unstable since it's currently expected to fail. - stable: false - - frequency: nightly - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_24cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=apex --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_24cpus_gce.yaml - -- name: rllib_learning_tests_apex_dqn_torch - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_24cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=apex --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_24cpus_gce.yaml - - -# -------------------------- -# DDPG -# -------------------------- -- name: rllib_learning_tests_ddpg_tf - group: RLlib tests - working_dir: rllib_tests - - frequency: nightly - stable: false - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=ddpg --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - -- name: rllib_learning_tests_ddpg_torch - group: RLlib tests - working_dir: rllib_tests - - frequency: nightly - stable: false - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=ddpg --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - - -# -------------------------- -# ES -# -------------------------- -- name: rllib_learning_tests_es_tf - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 2gpus_64cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=es --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 2gpus_64cpus_gce.yaml - -- name: rllib_learning_tests_es_torch - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 2gpus_64cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=es --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 2gpus_64cpus_gce.yaml - - -# -------------------------- -# SlateQ -# -------------------------- -- name: rllib_learning_tests_slateq_tf - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=slateq --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - -- name: rllib_learning_tests_slateq_torch - group: RLlib tests - working_dir: rllib_tests - - # Marking as unstable since it's currently expected to fail. - stable: false - - frequency: nightly - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=slateq --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - - -# -------------------------- -# TD3 -# -------------------------- -- name: rllib_learning_tests_td3_tf - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=td3 --framework=tf - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml - -- name: rllib_learning_tests_td3_torch - group: RLlib tests - working_dir: rllib_tests - stable: false - - frequency: nightly - team: rllib - cluster: - byod: - type: gpu - post_build_script: byod_rllib_test.sh - runtime_env: - - RLLIB_TEST_NO_JAX_IMPORT=1 - - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin - cluster_compute: 1gpu_16cpus.yaml - - run: - timeout: 18000 - script: python learning_tests/run.py --yaml-sub-dir=td3 --framework=torch - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: 1gpu_16cpus_gce.yaml From 0e165a7734229bc9a16277a29c094ec2edc816ee Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Tue, 5 Aug 2025 02:07:07 -0700 Subject: [PATCH 0492/1566] [image] add GKE GPU operator compat paths to ray-llm image PATH, LD_LIBRARY_PATH (#55206) The ray-llm base image, nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04 no longer includes the GPU operator compatibility paths included in the runtime image. Additional context on those compatibility paths: https://gitlab.com/nvidia/container-images/cuda/-/issues/47 --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- docker/ray-llm/Dockerfile | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index 6e8c5e60b56b..cf99279e32e5 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -188,6 +188,16 @@ rm -rf "${EP_TEMP_DIR}" EOF -ENV PATH="${UCX_HOME}/bin:${NIXL_HOME}/bin:${PATH}" -ENV LD_LIBRARY_PATH="${UCX_HOME}/lib:${NIXL_HOME}/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH}" +# Q: Why add paths that don't exist in the base image, like /usr/local/nvidia/lib64 +# and /usr/local/nvidia/bin? +# A: The NVIDIA GPU operator version used by GKE injects these into the container +# after it's mounted to a pod. +# Issue is tracked here: +# https://github.com/GoogleCloudPlatform/compute-gpu-installation/issues/46 +# More context here: +# https://github.com/NVIDIA/nvidia-container-toolkit/issues/275 +# and here: +# https://gitlab.com/nvidia/container-images/cuda/-/issues/27 +ENV PATH="${PATH}:${UCX_HOME}/bin:${NIXL_HOME}/bin:/usr/local/nvidia/bin" +ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:${UCX_HOME}/lib:${NIXL_HOME}/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64" ENV NIXL_PLUGIN_DIR="${NIXL_HOME}/lib/x86_64-linux-gnu/plugins/" From e026bfc74a39f9889b8205a613fb4efd2ac6ec54 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 5 Aug 2025 07:25:16 -0500 Subject: [PATCH 0493/1566] [core] Remove `grpc_common_lib` target (#55196) - Remove the `grpc_common_lib` target and use finer-grained dependencies instead. - Split `foobar_rpc` targets into `foobar_client` and `foobar_server` targets. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 13 +- src/ray/common/BUILD.bazel | 1 - src/ray/common/test/BUILD.bazel | 5 +- src/ray/core_worker/BUILD.bazel | 18 +-- src/ray/core_worker/test/BUILD.bazel | 11 +- src/ray/gcs/BUILD.bazel | 1 - src/ray/gcs/gcs_client/BUILD.bazel | 4 +- src/ray/gcs/gcs_client/gcs_client.h | 2 +- .../test/gcs_client_reconnection_test.cc | 2 +- .../gcs/gcs_client/test/gcs_client_test.cc | 2 +- .../test/global_state_accessor_test.cc | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 20 +-- src/ray/gcs/gcs_server/gcs_actor_manager.h | 2 +- .../gcs_server/gcs_autoscaler_state_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_job_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_kv_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_resource_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_server.h | 2 +- src/ray/gcs/gcs_server/gcs_worker_manager.h | 2 +- src/ray/gcs/gcs_server/pubsub_handler.h | 2 +- src/ray/gcs/gcs_server/runtime_env_handler.h | 2 +- .../gcs_server/test/gcs_server_rpc_test.cc | 2 +- src/ray/gcs/pubsub/BUILD.bazel | 5 +- src/ray/gcs/pubsub/gcs_pub_sub.cc | 2 +- src/ray/gcs/test/BUILD.bazel | 3 +- src/ray/object_manager/BUILD.bazel | 8 +- src/ray/pubsub/BUILD.bazel | 73 ++-------- src/ray/pubsub/test/BUILD.bazel | 40 ++++++ src/ray/raylet_client/BUILD.bazel | 2 +- src/ray/rpc/BUILD.bazel | 127 +++++++++++------- .../rpc/{gcs_server => gcs}/gcs_rpc_client.h | 0 .../rpc/{gcs_server => gcs}/gcs_rpc_server.h | 0 src/ray/rpc/test/BUILD.bazel | 5 +- src/ray/rpc/test/grpc_bench/BUILD.bazel | 4 +- 35 files changed, 203 insertions(+), 169 deletions(-) create mode 100644 src/ray/pubsub/test/BUILD.bazel rename src/ray/rpc/{gcs_server => gcs}/gcs_rpc_client.h (100%) rename src/ray/rpc/{gcs_server => gcs}/gcs_rpc_server.h (100%) diff --git a/BUILD.bazel b/BUILD.bazel index 6d82555fa8fb..b49eacb01c4e 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -202,7 +202,7 @@ ray_cc_library( "//src/ray/common:network", "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "//src/ray/util:process", "@com_google_absl//absl/memory", "@com_google_absl//absl/time", @@ -281,8 +281,8 @@ ray_cc_library( "//src/ray/object_manager:object_directory", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/pubsub:subscriber_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:core_worker_client", ], ) @@ -334,10 +334,11 @@ ray_cc_library( "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:runtime_env_agent_cc_proto", - "//src/ray/pubsub:pubsub_lib", + "//src/ray/pubsub:subscriber", "//src/ray/raylet/scheduling:scheduler", - "//src/ray/rpc:core_worker_rpc", - "//src/ray/rpc:node_manager_rpc", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:node_manager_client", + "//src/ray/rpc:node_manager_server", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:container_util", diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index b7e6ad6fa923..f4df06c72464 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -280,7 +280,6 @@ ray_cc_library( ":asio", ":id", "//:ray_syncer_cc_grpc", - "//src/ray/util", "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/container:flat_hash_map", ], diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/test/BUILD.bazel index 54dcfce87821..0353f9dc7cf0 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/test/BUILD.bazel @@ -51,8 +51,9 @@ ray_cc_test( deps = [ "//:ray_mock_syncer", "//src/ray/common:ray_syncer", - "//src/ray/rpc:grpc_common_lib", + "//src/ray/rpc:grpc_server", "//src/ray/util:path_utils", + "@com_github_grpc_grpc//:grpc++", "@com_google_googletest//:gtest", ], ) @@ -175,7 +176,7 @@ ray_cc_test( deps = [ "//src/ray/common:grpc_util", "//src/ray/common:status", - "//src/ray/rpc:grpc_common_lib", + "@com_github_grpc_grpc//:grpc++", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 0bd468b81b9e..95a882db82d8 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -35,9 +35,11 @@ ray_cc_library( "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:pubsub_cc_proto", - "//src/ray/pubsub:pubsub_lib", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_server", "//src/ray/stats:stats_lib", "//src/ray/util", "//src/ray/util:container_util", @@ -180,8 +182,9 @@ ray_cc_library( ":lease_policy", "//src/ray/common:id", "//src/ray/protobuf:common_cc_proto", - "//src/ray/pubsub:pubsub_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:core_worker_client", "//src/ray/rpc:grpc_server", "//src/ray/util:logging", "@com_google_absl//absl/base:core_headers", @@ -333,7 +336,7 @@ ray_cc_library( "//src/ray/common:ray_object", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -447,7 +450,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:task_common", - "//src/ray/rpc:core_worker_rpc", "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", @@ -481,7 +483,7 @@ ray_cc_library( ":memory_store", "//src/ray/common:grpc_util", "//src/ray/common:id", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", ], ) @@ -567,7 +569,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/gcs:gcs_pb_util", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index a197e6d453bd..da158232523e 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -39,7 +39,7 @@ ray_cc_test( "//src/ray/common:test_util", "//src/ray/core_worker:normal_task_submitter", "//src/ray/core_worker:reference_count", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -57,7 +57,7 @@ ray_cc_test( "//src/ray/core_worker:actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -91,7 +91,7 @@ ray_cc_test( "//src/ray/core_worker:dependency_resolver", "//src/ray/core_worker:memory_store", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -110,7 +110,7 @@ ray_cc_test( "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -126,7 +126,8 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", - "//src/ray/pubsub:pubsub_lib", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", "@com_google_absl//absl/functional:bind_front", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 7ca0d2844554..ec89ef6d814f 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -52,6 +52,5 @@ ray_cc_library( ":gcs_pb_util", ":gcs_redis_client", "//:node_manager_fbs", - "//src/ray/rpc:node_manager_rpc", ], ) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index 5200ca9c7ed7..ca4af158ef9f 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -17,8 +17,8 @@ ray_cc_library( "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client:gcs_redis_store_client", "//src/ray/protobuf:usage_cc_proto", - "//src/ray/pubsub:pubsub_lib", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:gcs_client", "//src/ray/util:container_util", "//src/ray/util:sequencer", ], diff --git a/src/ray/gcs/gcs_client/gcs_client.h b/src/ray/gcs/gcs_client/gcs_client.h index 970bb83850cb..59d99b178e3f 100644 --- a/src/ray/gcs/gcs_client/gcs_client.h +++ b/src/ray/gcs/gcs_client/gcs_client.h @@ -30,7 +30,7 @@ #include "ray/common/status.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/logging.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" diff --git a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc index 3610f6af2ddf..f7ed23c5ee4e 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc @@ -26,7 +26,7 @@ #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" #include "ray/util/util.h" diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 06157bf9ef0d..43e9219b044a 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -25,7 +25,7 @@ #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" #include "ray/util/util.h" diff --git a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc index aed48ddccdf2..c5d186e41ec7 100644 --- a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 7e8aad291b3c..94031a18cc27 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -48,7 +48,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:status", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/rpc:gcs_server", ], ) @@ -91,6 +91,7 @@ ray_cc_library( deps = [ "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/rpc:gcs_server", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -103,8 +104,7 @@ ray_cc_library( deps = [ "//src/ray/common:runtime_env", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/rpc:gcs_service_rpc", - "//src/ray/rpc:node_manager_rpc", + "//src/ray/rpc:gcs_server", "//src/ray/util:thread_checker", ], ) @@ -129,7 +129,7 @@ ray_cc_library( ":gcs_table_storage", ":gcs_usage_stats_client", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", ], ) @@ -194,8 +194,8 @@ ray_cc_library( "//src/ray/common:runtime_env", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/rpc:core_worker_rpc", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:thread_checker", @@ -246,12 +246,12 @@ ray_cc_library( "//src/ray/gcs/store_client:gcs_observable_store_client", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", - "//src/ray/pubsub:pubsub_lib", + "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_rpc", - "//src/ray/rpc:gcs_service_rpc", - "//src/ray/rpc:node_manager_rpc", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:gcs_server", + "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", "//src/ray/util:thread_checker", "//src/ray/util:throttler", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 0e8e61678ca4..ddd788579ea7 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -31,7 +31,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index f6aba575c206..e37d582fb630 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -23,7 +23,7 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_server/gcs_job_manager.h index 534e87cb654b..a9484e7c0277 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_server/gcs_job_manager.h @@ -27,7 +27,7 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" diff --git a/src/ray/gcs/gcs_server/gcs_kv_manager.h b/src/ray/gcs/gcs_server/gcs_kv_manager.h index 536247b4425e..eb1ca3b302f7 100644 --- a/src/ray/gcs/gcs_server/gcs_kv_manager.h +++ b/src/ray/gcs/gcs_server/gcs_kv_manager.h @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/postable.h" #include "ray/common/status.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 87084a0f4b38..fa4afd863ec2 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -34,7 +34,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/client_call.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/event.h" diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.h b/src/ray/gcs/gcs_server/gcs_resource_manager.h index c7b3359c67fb..ab523b33bd23 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.h @@ -31,7 +31,7 @@ #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 0f89e3635edb..61fd4cd90a88 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -39,7 +39,7 @@ #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.h b/src/ray/gcs/gcs_server/gcs_worker_manager.h index 84074b5fcca8..d4858efcbd6e 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.h @@ -20,7 +20,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/gcs_server/pubsub_handler.h index f7360a2f8038..fc5d92dd9abf 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/gcs_server/pubsub_handler.h @@ -19,7 +19,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/runtime_env_handler.h b/src/ray/gcs/gcs_server/runtime_env_handler.h index a342b6b7da71..946ca0327568 100644 --- a/src/ray/gcs/gcs_server/runtime_env_handler.h +++ b/src/ray/gcs/gcs_server/runtime_env_handler.h @@ -17,7 +17,7 @@ #include #include "ray/common/runtime_env_manager.h" -#include "ray/rpc/gcs_server/gcs_rpc_server.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc index 38bf42a059dc..7929c693f933 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc @@ -21,7 +21,7 @@ #include "ray/common/ray_config.h" #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" namespace ray { diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel index c589db8bb455..e5a50a771846 100644 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ b/src/ray/gcs/pubsub/BUILD.bazel @@ -8,7 +8,8 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/gcs:gcs_callback", "//src/ray/gcs:gcs_redis_client", - "//src/ray/pubsub:pubsub_lib", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:gcs_client", ], ) diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index 27e8d9f15bb2..ea722b03f5e1 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/rpc/gcs_server/gcs_rpc_client.h" +#include "ray/rpc/gcs/gcs_rpc_client.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/test/BUILD.bazel b/src/ray/gcs/test/BUILD.bazel index 6640a725f344..c89258455258 100644 --- a/src/ray/gcs/test/BUILD.bazel +++ b/src/ray/gcs/test/BUILD.bazel @@ -8,7 +8,8 @@ ray_cc_library( deps = [ "//src/ray/common:test_util", "//src/ray/gcs:gcs_pb_util", - "//src/ray/rpc:gcs_service_rpc", + "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:gcs_service_cc_grpc", ], ) diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index cf087fe1d27c..779f635830fb 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -19,7 +19,8 @@ ray_cc_library( "//src/ray/object_manager/plasma:plasma_store_server_lib", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/rpc:object_manager_rpc", + "//src/ray/rpc:object_manager_client", + "//src/ray/rpc:object_manager_server", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -46,7 +47,6 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:ray_object", "//src/ray/common:status", - "//src/ray/rpc:object_manager_rpc", "//src/ray/stats:stats_metric", "//src/ray/util:container_util", "//src/ray/util:counter_map", @@ -67,8 +67,8 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/pubsub:subscriber_lib", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/container:flat_hash_map", ], ) diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 27507f74e477..ba280ed8eb04 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -1,82 +1,31 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( - name = "pubsub_rpc", - deps = [ - "//src/ray/protobuf:pubsub_cc_grpc", - "//src/ray/rpc:grpc_common_lib", - ], -) - -ray_cc_library( - name = "publisher_lib", + name = "publisher", srcs = ["publisher.cc"], hdrs = ["publisher.h"], deps = [ - ":pubsub_rpc", + "//src/ray/protobuf:pubsub_cc_grpc", + # NOTE(edoakes): we only seem to need `SendReplyCallback` from server_call.h. + # We should move that definition to its own target. + "//src/ray/rpc:server_call", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", ], ) -# Subscriber module ray_cc_library( - name = "subscriber_lib", + name = "subscriber", srcs = ["subscriber.cc"], hdrs = ["subscriber.h"], deps = [ - ":pubsub_rpc", + "//src/ray/protobuf:pubsub_cc_grpc", + # NOTE(edoakes): we only seem to need `ClientCallback` from client_call.h. + # We should move that definition to its own target. + "//src/ray/rpc:client_call", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", ], ) - -# Combined PubSub Library -ray_cc_library( - name = "pubsub_lib", - deps = [ - ":publisher_lib", - ":subscriber_lib", - ], -) - -ray_cc_test( - name = "pubsub_integration_test", - size = "small", - srcs = ["test/integration_test.cc"], - tags = ["team:core"], - deps = [ - ":pubsub_lib", - "//src/ray/protobuf:pubsub_cc_grpc", - "//src/ray/protobuf:pubsub_cc_proto", - "@com_google_absl//absl/synchronization", - "@com_google_absl//absl/time", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "publisher_test", - size = "small", - srcs = ["test/publisher_test.cc"], - tags = ["team:core"], - deps = [ - ":pubsub_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "subscriber_test", - size = "small", - srcs = [ - "test/subscriber_test.cc", - ], - tags = ["team:core"], - deps = [ - ":pubsub_lib", - "@com_google_googletest//:gtest_main", - ], -) diff --git a/src/ray/pubsub/test/BUILD.bazel b/src/ray/pubsub/test/BUILD.bazel new file mode 100644 index 000000000000..4d323d7c3bef --- /dev/null +++ b/src/ray/pubsub/test/BUILD.bazel @@ -0,0 +1,40 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "publisher_test", + size = "small", + srcs = ["publisher_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/pubsub:publisher", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "subscriber_test", + size = "small", + srcs = [ + "subscriber_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/pubsub:subscriber", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "pubsub_integration_test", + size = "small", + srcs = ["integration_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/protobuf:pubsub_cc_grpc", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", + "@com_google_absl//absl/synchronization", + "@com_google_absl//absl/time", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 156d28778d41..88db7a6de961 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -26,7 +26,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/protobuf:common_cc_proto", - "//src/ray/rpc:node_manager_rpc", + "//src/ray/rpc:node_manager_client", "//src/ray/util:logging", ], ) diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 5140b82d8f90..07588444ffe2 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -1,31 +1,5 @@ load("//bazel:ray.bzl", "ray_cc_library") -# TODO(eoakes): break up this dependency. -ray_cc_library( - name = "grpc_common_lib", - # TODO(core): Both two header files are not needed, keep them there because of circular dependency between raylet and node rpc. - hdrs = [ - "//src/ray/raylet_client:raylet_client.h", - "//src/ray/raylet_client:raylet_connection.h", - ], - visibility = ["//visibility:public"], - # TODO(core): These three dependencies come from raylet client, should be able to remove after we split node rpc and raylet client into smaller targets. - deps = [ - "//src/ray/common:network", - "//src/ray/common:ray_object", - "//src/ray/common:task_common", - ] + [ - ":common", - ":event_aggregator_client", - ":grpc_client", - ":grpc_server", - ":metrics_agent_client", - ":retryable_grpc_client", - ":rpc_chaos", - ":server_call", - ], -) - ray_cc_library( name = "common", srcs = ["common.cc"], @@ -145,58 +119,107 @@ ray_cc_library( ], ) -# TODO(edoakes): split client and server targets for each of the below. - ray_cc_library( - name = "node_manager_rpc", + name = "node_manager_client", srcs = ["node_manager/raylet_client_pool.cc"], hdrs = [ "node_manager/node_manager_client.h", "node_manager/node_manager_server.h", "node_manager/raylet_client_pool.h", + ] + [ + # TODO(eoakes): these are needed due to a circular dependency: + # raylet_client_pool.cc -> raylet_client.h -> node_manager_client.h + "//src/ray/raylet_client:raylet_client.h", + "//src/ray/raylet_client:raylet_connection.h", ], visibility = ["//visibility:public"], deps = [ - ":grpc_common_lib", - "//src/ray/common:asio", + ":client_call", + ":grpc_client", "//src/ray/common:id", - "//src/ray/common:status", + "//src/ray/protobuf:node_manager_cc_grpc", + ] + [ + # TODO(eoakes): these three come from raylet_client.h, remove after breaking the circular dependency. + "//src/ray/common:network", + "//src/ray/common:ray_object", + "//src/ray/common:task_common", + ], +) + +ray_cc_library( + name = "node_manager_server", + hdrs = [ + "node_manager/node_manager_server.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":grpc_server", + ":server_call", "//src/ray/protobuf:node_manager_cc_grpc", "@com_github_grpc_grpc//:grpc++", ], ) ray_cc_library( - name = "gcs_service_rpc", + name = "gcs_client", + hdrs = [ + "gcs/gcs_rpc_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":client_call", + ":retryable_grpc_client", + "//src/ray/common:ray_config", + "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:gcs_service_cc_grpc", + "@com_google_absl//absl/container:btree", + ], +) + +ray_cc_library( + name = "gcs_server", hdrs = [ - "gcs_server/gcs_rpc_client.h", - "gcs_server/gcs_rpc_server.h", + "gcs/gcs_rpc_server.h", ], visibility = ["//visibility:public"], deps = [ - ":grpc_common_lib", + ":grpc_server", + ":server_call", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:ray_config", "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:events_event_aggregator_service_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", - "//src/ray/pubsub:pubsub_lib", "@boost//:asio", "@com_github_grpc_grpc//:grpc++", - "@com_google_absl//absl/container:btree", ], ) ray_cc_library( - name = "object_manager_rpc", + name = "object_manager_client", hdrs = [ "object_manager/object_manager_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/object_manager:object_manager_grpc_client_manager", + "//src/ray/protobuf:object_manager_cc_grpc", + "//src/ray/util:logging", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "object_manager_server", + hdrs = [ "object_manager/object_manager_server.h", ], visibility = ["//visibility:public"], deps = [ - ":grpc_common_lib", + ":grpc_server", + ":server_call", "//src/ray/common:asio", - "//src/ray/common:status", "//src/ray/object_manager:object_manager_grpc_client_manager", "//src/ray/protobuf:object_manager_cc_grpc", "@boost//:asio", @@ -205,7 +228,7 @@ ray_cc_library( ) ray_cc_library( - name = "core_worker_rpc", + name = "core_worker_client", srcs = [ "worker/core_worker_client.cc", "worker/core_worker_client_pool.cc", @@ -216,13 +239,27 @@ ray_cc_library( "worker/core_worker_server.h", ], deps = [ - ":grpc_common_lib", - "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:status", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:core_worker_cc_grpc", - "//src/ray/pubsub:pubsub_lib", + "//src/ray/pubsub:subscriber", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/util:logging", "@com_github_grpc_grpc//:grpc++", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "core_worker_server", + hdrs = [ + "worker/core_worker_server.h", + ], + deps = [ + ":grpc_server", + ":server_call", + "//src/ray/common:asio", + "//src/ray/protobuf:core_worker_cc_grpc", ], ) diff --git a/src/ray/rpc/gcs_server/gcs_rpc_client.h b/src/ray/rpc/gcs/gcs_rpc_client.h similarity index 100% rename from src/ray/rpc/gcs_server/gcs_rpc_client.h rename to src/ray/rpc/gcs/gcs_rpc_client.h diff --git a/src/ray/rpc/gcs_server/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h similarity index 100% rename from src/ray/rpc/gcs_server/gcs_rpc_server.h rename to src/ray/rpc/gcs/gcs_rpc_server.h diff --git a/src/ray/rpc/test/BUILD.bazel b/src/ray/rpc/test/BUILD.bazel index e74259fab05d..8bd523f17c97 100644 --- a/src/ray/rpc/test/BUILD.bazel +++ b/src/ray/rpc/test/BUILD.bazel @@ -22,7 +22,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/protobuf:test_service_cc_grpc", - "//src/ray/rpc:grpc_common_lib", + "//src/ray/rpc:grpc_client", + "//src/ray/rpc:grpc_server", "@com_google_googletest//:gtest_main", ], ) @@ -36,7 +37,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/rpc:core_worker_rpc", + "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/rpc/test/grpc_bench/BUILD.bazel b/src/ray/rpc/test/grpc_bench/BUILD.bazel index 72708e9e28b0..f5d86689ba9f 100644 --- a/src/ray/rpc/test/grpc_bench/BUILD.bazel +++ b/src/ray/rpc/test/grpc_bench/BUILD.bazel @@ -26,6 +26,8 @@ cc_binary( copts = COPTS, deps = [ ":helloworld_cc_lib", - "//src/ray/rpc:grpc_common_lib", + "//src/ray/common:asio", + "//src/ray/rpc:grpc_server", + "//src/ray/rpc:server_call", ], ) From 9fdcea69326035c7cf19abffdad227258d40826f Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 5 Aug 2025 05:33:01 -0700 Subject: [PATCH 0494/1566] [Core] Rename `execute_out_of_order` to `allow_out_of_order_execution` (#55240) https://github.com/ray-project/ray/pull/54504 exposed a `ray.remote` parameter `allow_out_of_order_execution`. To ensure we use consistent names across the codebase, this PR performs a follow-up refactor and renames all instances of `execute_out_of_order` with `allow_out_of_order_execution`. --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../ray/api/options/ActorCreationOptions.java | 8 +-- python/ray/_raylet.pyx | 10 ++-- python/ray/actor.py | 22 ++++---- python/ray/includes/common.pxd | 2 +- python/ray/includes/libcoreworker.pxd | 2 +- python/ray/tests/test_actor_out_of_order.py | 4 +- src/ray/common/task/task_spec.cc | 4 +- src/ray/common/task/task_spec.h | 2 +- src/ray/common/task/task_util.h | 4 +- src/ray/common/test/task_spec_test.cc | 4 +- src/ray/core_worker/actor_handle.cc | 12 ++-- src/ray/core_worker/actor_handle.h | 4 +- src/ray/core_worker/actor_manager.cc | 2 +- src/ray/core_worker/common.h | 6 +- src/ray/core_worker/core_worker.cc | 4 +- ...io_ray_runtime_task_NativeTaskSubmitter.cc | 8 +-- src/ray/core_worker/lib/java/jni_init.cc | 6 +- src/ray/core_worker/lib/java/jni_utils.h | 4 +- .../core_worker/test/actor_manager_test.cc | 2 +- .../test/actor_task_submitter_test.cc | 56 +++++++++---------- .../test/direct_actor_transport_mock_test.cc | 4 +- .../transport/actor_task_submitter.cc | 4 +- .../transport/actor_task_submitter.h | 10 ++-- .../core_worker/transport/task_receiver.cc | 16 +++--- src/ray/core_worker/transport/task_receiver.h | 6 +- src/ray/protobuf/common.proto | 2 +- src/ray/protobuf/core_worker.proto | 2 +- src/ray/raylet/test/node_manager_test.cc | 2 +- 28 files changed, 107 insertions(+), 105 deletions(-) diff --git a/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java b/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java index 03c1168d0ebf..340da90b7da8 100644 --- a/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java +++ b/java/api/src/main/java/io/ray/api/options/ActorCreationOptions.java @@ -27,7 +27,7 @@ public class ActorCreationOptions extends BaseTaskOptions { private final String namespace; private final int maxPendingCalls; private final boolean isAsync; - private final boolean executeOutOfOrder; + private final boolean allowOutOfOrderExecution; private ActorCreationOptions(Builder builder) { super(builder.resources); @@ -51,7 +51,7 @@ private ActorCreationOptions(Builder builder) { this.namespace = builder.namespace; this.maxPendingCalls = builder.maxPendingCalls; this.isAsync = builder.isAsync; - this.executeOutOfOrder = builder.isAsync; + this.allowOutOfOrderExecution = builder.isAsync; } public String getName() { @@ -106,8 +106,8 @@ public boolean isAsync() { return isAsync; } - public boolean isExecuteOutOfOrder() { - return executeOutOfOrder; + public boolean allowsOutOfOrderExecution() { + return allowOutOfOrderExecution; } /** The inner class for building ActorCreationOptions. */ diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 213020019bb6..f2fcf5d22958 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3773,7 +3773,7 @@ cdef class CoreWorker: c_bool enable_task_events, labels, label_selector, - c_bool execute_out_of_order, + c_bool allow_out_of_order_execution, ): cdef: CRayFunction ray_function @@ -3826,7 +3826,7 @@ cdef class CoreWorker: c_scheduling_strategy, serialized_runtime_env_info, c_concurrency_groups, - execute_out_of_order, + allow_out_of_order_execution, max_pending_calls, enable_task_events, c_labels, @@ -4108,7 +4108,7 @@ cdef class CoreWorker: dereference(c_actor_handle).ActorCreationTaskFunctionDescriptor()) max_task_retries = dereference(c_actor_handle).MaxTaskRetries() enable_task_events = dereference(c_actor_handle).EnableTaskEvents() - execute_out_of_order = dereference(c_actor_handle).ExecuteOutOfOrder() + allow_out_of_order_execution = dereference(c_actor_handle).AllowOutOfOrderExecution() if language == Language.PYTHON: assert isinstance(actor_creation_function_descriptor, PythonFunctionDescriptor) @@ -4137,7 +4137,7 @@ cdef class CoreWorker: actor_creation_function_descriptor, worker.current_cluster_and_job, weak_ref=weak_ref, - execute_out_of_order=execute_out_of_order) + allow_out_of_order_execution=allow_out_of_order_execution) else: return ray.actor.ActorHandle(language, actor_id, 0, # max_task_retries, @@ -4155,7 +4155,7 @@ cdef class CoreWorker: actor_creation_function_descriptor, worker.current_cluster_and_job, weak_ref=weak_ref, - execute_out_of_order=execute_out_of_order, + allow_out_of_order_execution=allow_out_of_order_execution, ) def deserialize_and_register_actor_handle(self, const c_string &bytes, diff --git a/python/ray/actor.py b/python/ray/actor.py index d34e547466a3..f2a00efe5deb 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -1708,20 +1708,20 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: ) ) - execute_out_of_order = actor_options.get("allow_out_of_order_execution") + allow_out_of_order_execution = actor_options.get("allow_out_of_order_execution") # If the actor is async or multi-threaded, default to out-of-order execution. - if execute_out_of_order is None: - execute_out_of_order = is_asyncio or max_concurrency > 1 + if allow_out_of_order_execution is None: + allow_out_of_order_execution = is_asyncio or max_concurrency > 1 - if is_asyncio and not execute_out_of_order: + if is_asyncio and not allow_out_of_order_execution: raise ValueError( "If you're using async actors, Ray can't execute actor tasks in order. " "Set `allow_out_of_order_execution=True` to allow out-of-order " "execution." ) - elif max_concurrency > 1 and not execute_out_of_order: + elif max_concurrency > 1 and not allow_out_of_order_execution: raise ValueError( "If you're using multi-threaded actors, Ray can't execute actor tasks " "in order. Set `allow_out_of_order_execution=True` to allow " @@ -1750,7 +1750,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: enable_task_events=enable_task_events, labels=actor_options.get("_labels"), label_selector=actor_options.get("label_selector"), - execute_out_of_order=execute_out_of_order, + allow_out_of_order_execution=allow_out_of_order_execution, ) if _actor_launch_hook: @@ -1776,7 +1776,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: meta.actor_creation_function_descriptor, worker.current_cluster_and_job, original_handle=True, - execute_out_of_order=execute_out_of_order, + allow_out_of_order_execution=allow_out_of_order_execution, ) return actor_handle @@ -1846,7 +1846,7 @@ class ActorHandle(Generic[T]): _ray_is_cross_language: Whether this actor is cross language. _ray_actor_creation_function_descriptor: The function descriptor of the actor creation task. - _ray_execute_out_of_order: Whether the actor can execute tasks out of order. + _ray_allow_out_of_order_execution: Whether the actor can execute tasks out of order. """ def __init__( @@ -1869,7 +1869,7 @@ def __init__( cluster_and_job, original_handle=False, weak_ref: bool = False, - execute_out_of_order: Optional[bool] = None, + allow_out_of_order_execution: Optional[bool] = None, ): """Initialize an ActorHandle. @@ -1892,7 +1892,7 @@ def __init__( cluster_and_job: The cluster and job information. original_handle: Whether this is the original actor handle. weak_ref: Whether this is a weak reference to the actor. - execute_out_of_order: Whether the actor can execute tasks out of order. + allow_out_of_order_execution: Whether the actor can execute tasks out of order. """ self._ray_actor_language = language self._ray_actor_id = actor_id @@ -1900,7 +1900,7 @@ def __init__( self._ray_original_handle = original_handle self._ray_weak_ref = weak_ref self._ray_enable_task_events = enable_task_events - self._ray_execute_out_of_order = execute_out_of_order + self._ray_allow_out_of_order_execution = allow_out_of_order_execution self._ray_method_is_generator = method_is_generator self._ray_method_decorators = method_decorators diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 981aa1ee27be..91360dfd990b 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -355,7 +355,7 @@ cdef extern from "ray/core_worker/common.h" nogil: const CSchedulingStrategy &scheduling_strategy, c_string serialized_runtime_env, const c_vector[CConcurrencyGroup] &concurrency_groups, - c_bool execute_out_of_order, + c_bool allow_out_of_order_execution, int32_t max_pending_calls, c_bool enable_task_events, const unordered_map[c_string, c_string] &labels, diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 42efb5c31ad1..8db47427a0a1 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -116,7 +116,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int MaxPendingCalls() const int MaxTaskRetries() const c_bool EnableTaskEvents() const - c_bool ExecuteOutOfOrder() const + c_bool AllowOutOfOrderExecution() const cdef cppclass CCoreWorker "ray::core::CoreWorker": CWorkerType GetWorkerType() diff --git a/python/ray/tests/test_actor_out_of_order.py b/python/ray/tests/test_actor_out_of_order.py index d065e9339020..a4b2acef3cdd 100644 --- a/python/ray/tests/test_actor_out_of_order.py +++ b/python/ray/tests/test_actor_out_of_order.py @@ -7,7 +7,7 @@ from ray._common.test_utils import SignalActor -def test_threaded_actor_execute_out_of_order(shutdown_only): +def test_threaded_actor_allow_out_of_order_execution(shutdown_only): ray.init() @ray.remote @@ -29,7 +29,7 @@ def echo(self, inp): assert ray.get(out_ref_2, timeout=5) == 2 -def test_async_actor_execute_out_of_order(shutdown_only): +def test_async_actor_allow_out_of_order_execution(shutdown_only): ray.init() @ray.remote diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index 2b8aa51cfd87..1101d0f7c953 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -529,9 +529,9 @@ const rpc::TensorTransport TaskSpecification::TensorTransport() const { return rpc::TensorTransport::OBJECT_STORE; } -bool TaskSpecification::ExecuteOutOfOrder() const { +bool TaskSpecification::AllowOutOfOrderExecution() const { return IsActorCreationTask() && - message_->actor_creation_task_spec().execute_out_of_order(); + message_->actor_creation_task_spec().allow_out_of_order_execution(); } bool TaskSpecification::IsAsyncioActor() const { diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index d582241f00c1..dca4db743701 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -551,7 +551,7 @@ class TaskSpecification : public MessageWrapper { const std::string &ConcurrencyGroupName() const; - bool ExecuteOutOfOrder() const; + bool AllowOutOfOrderExecution() const; bool IsSpreadSchedulingStrategy() const; diff --git a/src/ray/common/task/task_util.h b/src/ray/common/task/task_util.h index 7987a0ed567f..bf9e35eb0c38 100644 --- a/src/ray/common/task/task_util.h +++ b/src/ray/common/task/task_util.h @@ -246,7 +246,7 @@ class TaskSpecBuilder { bool is_asyncio = false, const std::vector &concurrency_groups = {}, const std::string &extension_data = "", - bool execute_out_of_order = false, + bool allow_out_of_order_execution = false, ActorID root_detached_actor_id = ActorID::Nil()) { message_->set_type(TaskType::ACTOR_CREATION_TASK); auto actor_creation_spec = message_->mutable_actor_creation_task_spec(); @@ -273,7 +273,7 @@ class TaskSpecBuilder { *fd = item->GetMessage(); } } - actor_creation_spec->set_execute_out_of_order(execute_out_of_order); + actor_creation_spec->set_allow_out_of_order_execution(allow_out_of_order_execution); message_->mutable_scheduling_strategy()->CopyFrom(scheduling_strategy); if (!root_detached_actor_id.IsNil()) { message_->set_root_detached_actor_id(root_detached_actor_id.Binary()); diff --git a/src/ray/common/test/task_spec_test.cc b/src/ray/common/test/task_spec_test.cc index 2876faa20011..5383adcd707f 100644 --- a/src/ray/common/test/task_spec_test.cc +++ b/src/ray/common/test/task_spec_test.cc @@ -202,7 +202,7 @@ TEST(TaskSpecTest, TestTaskSpecBuilderRootDetachedActorId) { /*is_asyncio=*/false, /*concurrency_groups=*/{}, /*extension_data=*/"", - /*execute_out_of_order=*/false, + /*allow_out_of_order_execution=*/false, /*root_detached_actor_id=*/ActorID::Nil()); ASSERT_TRUE( std::move(actor_spec_builder).ConsumeAndBuild().RootDetachedActorId().IsNil()); @@ -223,7 +223,7 @@ TEST(TaskSpecTest, TestTaskSpecBuilderRootDetachedActorId) { /*is_asyncio=*/false, /*concurrency_groups=*/{}, /*extension_data=*/"", - /*execute_out_of_order=*/false, + /*allow_out_of_order_execution=*/false, /*root_detached_actor_id=*/actor_id); ASSERT_EQ(std::move(actor_spec_builder).ConsumeAndBuild().RootDetachedActorId(), actor_id); diff --git a/src/ray/core_worker/actor_handle.cc b/src/ray/core_worker/actor_handle.cc index 05235e617b36..b11065c8bffc 100644 --- a/src/ray/core_worker/actor_handle.cc +++ b/src/ray/core_worker/actor_handle.cc @@ -34,7 +34,7 @@ rpc::ActorHandle CreateInnerActorHandle( const std::string &name, const std::string &ray_namespace, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, std::optional enable_task_events, const std::unordered_map &labels) { rpc::ActorHandle inner; @@ -50,7 +50,7 @@ rpc::ActorHandle CreateInnerActorHandle( inner.set_max_task_retries(max_task_retries); inner.set_name(name); inner.set_ray_namespace(ray_namespace); - inner.set_execute_out_of_order(execute_out_of_order); + inner.set_allow_out_of_order_execution(allow_out_of_order_execution); inner.set_max_pending_calls(max_pending_calls); inner.set_enable_task_events(enable_task_events.value_or(kDefaultTaskEventEnabled)); inner.mutable_labels()->insert(labels.begin(), labels.end()); @@ -83,8 +83,8 @@ rpc::ActorHandle CreateInnerActorHandleFromActorData( inner.set_max_task_retries(task_spec.actor_creation_task_spec().max_task_retries()); inner.set_name(actor_table_data.name()); inner.set_ray_namespace(actor_table_data.ray_namespace()); - inner.set_execute_out_of_order( - task_spec.actor_creation_task_spec().execute_out_of_order()); + inner.set_allow_out_of_order_execution( + task_spec.actor_creation_task_spec().allow_out_of_order_execution()); inner.set_max_pending_calls(task_spec.actor_creation_task_spec().max_pending_calls()); inner.mutable_labels()->insert(task_spec.labels().begin(), task_spec.labels().end()); return inner; @@ -104,7 +104,7 @@ ActorHandle::ActorHandle( const std::string &name, const std::string &ray_namespace, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, std::optional enable_task_events, const std::unordered_map &labels) : ActorHandle(CreateInnerActorHandle(actor_id, @@ -119,7 +119,7 @@ ActorHandle::ActorHandle( name, ray_namespace, max_pending_calls, - execute_out_of_order, + allow_out_of_order_execution, enable_task_events, labels)) {} diff --git a/src/ray/core_worker/actor_handle.h b/src/ray/core_worker/actor_handle.h index ff4e2bda1031..b3ec2294befb 100644 --- a/src/ray/core_worker/actor_handle.h +++ b/src/ray/core_worker/actor_handle.h @@ -48,7 +48,7 @@ class ActorHandle { const std::string &name, const std::string &ray_namespace, int32_t max_pending_calls, - bool execute_out_of_order = false, + bool allow_out_of_order_execution = false, std::optional enable_task_events = absl::nullopt, const std::unordered_map &labels = {}); @@ -108,7 +108,7 @@ class ActorHandle { int32_t MaxPendingCalls() const { return inner_.max_pending_calls(); } - bool ExecuteOutOfOrder() const { return inner_.execute_out_of_order(); } + bool AllowOutOfOrderExecution() const { return inner_.allow_out_of_order_execution(); } const ::google::protobuf::Map &GetLabels() const { return inner_.labels(); diff --git a/src/ray/core_worker/actor_manager.cc b/src/ray/core_worker/actor_manager.cc index cc08ee292918..4e6586dc10d1 100644 --- a/src/ray/core_worker/actor_manager.cc +++ b/src/ray/core_worker/actor_manager.cc @@ -160,7 +160,7 @@ bool ActorManager::AddActorHandle(std::unique_ptr actor_handle, actor_task_submitter_.AddActorQueueIfNotExists( actor_id, actor_handle->MaxPendingCalls(), - actor_handle->ExecuteOutOfOrder(), + actor_handle->AllowOutOfOrderExecution(), /*fail_if_actor_unreachable=*/actor_handle->MaxTaskRetries() == 0, owned); bool inserted = false; diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index e96665fb7821..df5be141c8f9 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -129,7 +129,7 @@ struct ActorCreationOptions { rpc::SchedulingStrategy scheduling_strategy_p, std::string serialized_runtime_env_info_p = "{}", std::vector concurrency_groups_p = {}, - bool execute_out_of_order_p = false, + bool allow_out_of_order_execution_p = false, int32_t max_pending_calls_p = -1, bool enable_task_events_p = kDefaultTaskEventEnabled, std::unordered_map labels_p = {}, @@ -147,7 +147,7 @@ struct ActorCreationOptions { is_asyncio(is_asyncio_p), serialized_runtime_env_info(std::move(serialized_runtime_env_info_p)), concurrency_groups(std::move(concurrency_groups_p)), - execute_out_of_order(execute_out_of_order_p), + allow_out_of_order_execution(allow_out_of_order_execution_p), max_pending_calls(max_pending_calls_p), scheduling_strategy(std::move(scheduling_strategy_p)), enable_task_events(enable_task_events_p), @@ -199,7 +199,7 @@ struct ActorCreationOptions { /// methods concurrently. const std::vector concurrency_groups; /// Whether the actor execute tasks out of order. - const bool execute_out_of_order = false; + const bool allow_out_of_order_execution = false; /// The maximum actor call pending count. const int max_pending_calls = -1; // The strategy about how to schedule this actor. diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index fb6c5c983ac0..dd830d4943b6 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2182,7 +2182,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, actor_name, ray_namespace, actor_creation_options.max_pending_calls, - actor_creation_options.execute_out_of_order, + actor_creation_options.allow_out_of_order_execution, actor_creation_options.enable_task_events, actor_creation_options.labels); std::string serialized_actor_handle; @@ -2206,7 +2206,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, actor_creation_options.is_asyncio, actor_creation_options.concurrency_groups, extension_data, - actor_creation_options.execute_out_of_order, + actor_creation_options.allow_out_of_order_execution, root_detached_actor_id); // Add the actor handle before we submit the actor creation task, since the // actor handle must be in scope by the time the GCS sends the diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc index 643e9da00b81..531b19c3d58e 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc @@ -181,7 +181,7 @@ inline ActorCreationOptions ToActorCreationOptions(JNIEnv *env, std::string ray_namespace = ""; int32_t max_pending_calls = -1; bool is_async = false; - bool execute_out_of_order = false; + bool allow_out_of_order_execution = false; if (actorCreationOptions) { auto java_name = (jstring)env->GetObjectField(actorCreationOptions, @@ -277,8 +277,8 @@ inline ActorCreationOptions ToActorCreationOptions(JNIEnv *env, actorCreationOptions, java_actor_creation_options_max_pending_calls)); is_async = static_cast( env->GetBooleanField(actorCreationOptions, java_actor_creation_options_is_async)); - execute_out_of_order = static_cast(env->GetBooleanField( - actorCreationOptions, java_actor_creation_options_execute_out_of_order)); + allow_out_of_order_execution = static_cast(env->GetBooleanField( + actorCreationOptions, java_actor_creation_options_allow_out_of_order_execution)); } rpc::SchedulingStrategy scheduling_strategy; @@ -305,7 +305,7 @@ inline ActorCreationOptions ToActorCreationOptions(JNIEnv *env, /*scheduling_strategy=*/scheduling_strategy, serialized_runtime_env, concurrency_groups, - execute_out_of_order, + allow_out_of_order_execution, max_pending_calls}; return actor_creation_options; } diff --git a/src/ray/core_worker/lib/java/jni_init.cc b/src/ray/core_worker/lib/java/jni_init.cc index d88fb48f3305..1151fd101315 100644 --- a/src/ray/core_worker/lib/java/jni_init.cc +++ b/src/ray/core_worker/lib/java/jni_init.cc @@ -118,7 +118,7 @@ jfieldID java_actor_creation_options_serialized_runtime_env; jfieldID java_actor_creation_options_namespace; jfieldID java_actor_creation_options_max_pending_calls; jfieldID java_actor_creation_options_is_async; -jfieldID java_actor_creation_options_execute_out_of_order; +jfieldID java_actor_creation_options_allow_out_of_order_execution; jclass java_actor_lifetime_class; int DETACHED_LIFETIME_ORDINAL_VALUE; @@ -377,8 +377,8 @@ jint JNI_OnLoad(JavaVM *vm, void *reserved) { env->GetFieldID(java_actor_creation_options_class, "maxPendingCalls", "I"); java_actor_creation_options_is_async = env->GetFieldID(java_actor_creation_options_class, "isAsync", "Z"); - java_actor_creation_options_execute_out_of_order = - env->GetFieldID(java_actor_creation_options_class, "executeOutOfOrder", "Z"); + java_actor_creation_options_allow_out_of_order_execution = + env->GetFieldID(java_actor_creation_options_class, "allowOutOfOrderExecution", "Z"); java_actor_lifetime_class = LoadClass(env, "io/ray/api/options/ActorLifetime"); java_actor_lifetime_ordinal = diff --git a/src/ray/core_worker/lib/java/jni_utils.h b/src/ray/core_worker/lib/java/jni_utils.h index d89a7c8f0379..bf0c496beb99 100644 --- a/src/ray/core_worker/lib/java/jni_utils.h +++ b/src/ray/core_worker/lib/java/jni_utils.h @@ -209,8 +209,8 @@ extern jfieldID java_actor_creation_options_namespace; extern jfieldID java_actor_creation_options_max_pending_calls; /// isAsync field of ActorCreationOptions class extern jfieldID java_actor_creation_options_is_async; -/// executeOutOfOrder field of ActorCreationOptions class -extern jfieldID java_actor_creation_options_execute_out_of_order; +/// allowOutOfOrderExecution field of ActorCreationOptions class +extern jfieldID java_actor_creation_options_allow_out_of_order_execution; /// ActorLifetime enum class extern jclass java_actor_lifetime_class; /// ordinal method of ActorLifetime class diff --git a/src/ray/core_worker/test/actor_manager_test.cc b/src/ray/core_worker/test/actor_manager_test.cc index f9522fe381d9..51b076e45664 100644 --- a/src/ray/core_worker/test/actor_manager_test.cc +++ b/src/ray/core_worker/test/actor_manager_test.cc @@ -105,7 +105,7 @@ class MockActorTaskSubmitter : public ActorTaskSubmitterInterface { MOCK_METHOD5(AddActorQueueIfNotExists, void(const ActorID &actor_id, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, bool fail_if_actor_unreachable, bool owned)); MOCK_METHOD3(ConnectActor, diff --git a/src/ray/core_worker/test/actor_task_submitter_test.cc b/src/ray/core_worker/test/actor_task_submitter_test.cc index 2b0f8807ce6f..5c6e0045aca2 100644 --- a/src/ray/core_worker/test/actor_task_submitter_test.cc +++ b/src/ray/core_worker/test/actor_task_submitter_test.cc @@ -123,14 +123,14 @@ class ActorTaskSubmitterTest : public ::testing::TestWithParam { }; TEST_P(ActorTaskSubmitterTest, TestSubmitTask) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); @@ -162,14 +162,14 @@ TEST_P(ActorTaskSubmitterTest, TestSubmitTask) { } TEST_P(ActorTaskSubmitterTest, TestQueueingWarning) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); submitter_.ConnectActor(actor_id, addr, 0); @@ -200,14 +200,14 @@ TEST_P(ActorTaskSubmitterTest, TestQueueingWarning) { } TEST_P(ActorTaskSubmitterTest, TestDependencies) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); submitter_.ConnectActor(actor_id, addr, 0); @@ -247,14 +247,14 @@ TEST_P(ActorTaskSubmitterTest, TestDependencies) { } TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); submitter_.ConnectActor(actor_id, addr, 0); @@ -278,7 +278,7 @@ TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 0); - if (execute_out_of_order) { + if (allow_out_of_order_execution) { // Put the dependencies in the store in the opposite order of task // submission. auto data = GenerateRandomObject(); @@ -307,14 +307,14 @@ TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { } TEST_P(ActorTaskSubmitterTest, TestActorDead) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); submitter_.ConnectActor(actor_id, addr, 0); @@ -349,14 +349,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorDead) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartNoRetry) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -406,14 +406,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartNoRetry) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartRetry) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -477,14 +477,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartRetry) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -535,14 +535,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -623,14 +623,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { - const auto execute_out_of_order = GetParam(); + const auto allow_out_of_order_execution = GetParam(); const auto caller_worker_id = WorkerID::FromRandom(); rpc::Address actor_addr1; actor_addr1.set_worker_id(WorkerID::FromRandom().Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ false, /*owned*/ false); submitter_.ConnectActor(actor_id, actor_addr1, 0); @@ -735,14 +735,14 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -773,7 +773,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { } TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); int32_t max_pending_calls = 10; rpc::Address addr; auto worker_id = WorkerID::FromRandom(); @@ -781,7 +781,7 @@ TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, max_pending_calls, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); addr.set_port(0); @@ -823,14 +823,14 @@ TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { } TEST_P(ActorTaskSubmitterTest, TestActorRestartResubmit) { - auto execute_out_of_order = GetParam(); + auto allow_out_of_order_execution = GetParam(); rpc::Address addr; auto worker_id = WorkerID::FromRandom(); addr.set_worker_id(worker_id.Binary()); ActorID actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); submitter_.AddActorQueueIfNotExists(actor_id, -1, - execute_out_of_order, + allow_out_of_order_execution, /*fail_if_actor_unreachable*/ true, /*owned*/ false); @@ -846,7 +846,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartResubmit) { worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK()); } -INSTANTIATE_TEST_SUITE_P(ExecuteOutOfOrder, +INSTANTIATE_TEST_SUITE_P(AllowOutOfOrderExecution, ActorTaskSubmitterTest, ::testing::Values(true, false)); diff --git a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc index 8177ea557e6a..d22b886bf42f 100644 --- a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc +++ b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc @@ -137,7 +137,7 @@ TEST_F(DirectTaskTransportTest, ActorRegisterFailure) { ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); actor_task_submitter->AddActorQueueIfNotExists(actor_id, -1, - /*execute_out_of_order*/ false, + /*allow_out_of_order_execution*/ false, /*fail_if_actor_unreachable*/ true, /*owned*/ false); ASSERT_TRUE(CheckSubmitTask(task_spec)); @@ -165,7 +165,7 @@ TEST_F(DirectTaskTransportTest, ActorRegisterOk) { ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); actor_task_submitter->AddActorQueueIfNotExists(actor_id, -1, - /*execute_out_of_order*/ false, + /*allow_out_of_order_execution*/ false, /*fail_if_actor_unreachable*/ true, /*owned*/ false); ASSERT_TRUE(CheckSubmitTask(task_spec)); diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/transport/actor_task_submitter.cc index ad00f5499375..7de64c9e1330 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/transport/actor_task_submitter.cc @@ -62,7 +62,7 @@ void ActorTaskSubmitter::NotifyGCSWhenActorOutOfScope( void ActorTaskSubmitter::AddActorQueueIfNotExists(const ActorID &actor_id, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, bool fail_if_actor_unreachable, bool owned) { bool inserted; @@ -75,7 +75,7 @@ void ActorTaskSubmitter::AddActorQueueIfNotExists(const ActorID &actor_id, inserted = client_queues_ .emplace(actor_id, ClientQueue(actor_id, - execute_out_of_order, + allow_out_of_order_execution, max_pending_calls, fail_if_actor_unreachable, owned)) diff --git a/src/ray/core_worker/transport/actor_task_submitter.h b/src/ray/core_worker/transport/actor_task_submitter.h index a4d6fcd86218..9c1912cb78a3 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.h +++ b/src/ray/core_worker/transport/actor_task_submitter.h @@ -50,7 +50,7 @@ class ActorTaskSubmitterInterface { public: virtual void AddActorQueueIfNotExists(const ActorID &actor_id, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, bool fail_if_actor_unreachable, bool owned) = 0; virtual void ConnectActor(const ActorID &actor_id, @@ -107,13 +107,13 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// /// \param[in] actor_id The actor for whom to add a queue. /// \param[in] max_pending_calls The max pending calls for the actor to be added. - /// \param[in] execute_out_of_order Whether to execute tasks out of order. + /// \param[in] allow_out_of_order_execution Whether to execute tasks out of order. /// \param[in] fail_if_actor_unreachable Whether to fail newly submitted tasks /// \param[in] owned Whether the actor is owned by the current process. /// immediately when the actor is unreachable. void AddActorQueueIfNotExists(const ActorID &actor_id, int32_t max_pending_calls, - bool execute_out_of_order, + bool allow_out_of_order_execution, bool fail_if_actor_unreachable, bool owned); @@ -283,14 +283,14 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { struct ClientQueue { ClientQueue(ActorID actor_id, - bool execute_out_of_order, + bool allow_out_of_order_execution, int32_t max_pending_calls, bool fail_if_actor_unreachable, bool owned) : max_pending_calls(max_pending_calls), fail_if_actor_unreachable(fail_if_actor_unreachable), owned(owned) { - if (execute_out_of_order) { + if (allow_out_of_order_execution) { actor_submit_queue = std::make_unique(actor_id); } else { actor_submit_queue = std::make_unique(actor_id); diff --git a/src/ray/core_worker/transport/task_receiver.cc b/src/ray/core_worker/transport/task_receiver.cc index 0408f8030fcd..c0588fa3e60a 100644 --- a/src/ray/core_worker/transport/task_receiver.cc +++ b/src/ray/core_worker/transport/task_receiver.cc @@ -30,7 +30,7 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, if (task_spec.IsActorCreationTask()) { SetupActor(task_spec.IsAsyncioActor(), task_spec.MaxActorConcurrency(), - task_spec.ExecuteOutOfOrder()); + task_spec.AllowOutOfOrderExecution()); } // Only assign resources for non-actor tasks. Actor tasks inherit the resources @@ -201,7 +201,7 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, it = actor_scheduling_queues_ .emplace( task_spec.CallerWorkerId(), - execute_out_of_order_ + allow_out_of_order_execution_ ? std::unique_ptr( std::make_unique( task_execution_service_, @@ -274,16 +274,16 @@ bool TaskReceiver::CancelQueuedNormalTask(TaskID task_id) { void TaskReceiver::SetupActor(bool is_asyncio, int fiber_max_concurrency, - bool execute_out_of_order) { + bool allow_out_of_order_execution) { RAY_CHECK(fiber_max_concurrency_ == 0) << "SetupActor should only be called at most once."; - // Note: It's possible to have execute_out_of_order as false but max_concurrency > 1, - // from the C++ / Java API's. - RAY_CHECK(is_asyncio ? execute_out_of_order : true) - << "execute_out_of_order must be true if is_asyncio is true"; + // Note: It's possible to have allow_out_of_order_execution as false but max_concurrency + // > 1, from the C++ / Java API's. + RAY_CHECK(is_asyncio ? allow_out_of_order_execution : true) + << "allow_out_of_order_execution must be true if is_asyncio is true"; is_asyncio_ = is_asyncio; fiber_max_concurrency_ = fiber_max_concurrency; - execute_out_of_order_ = execute_out_of_order; + allow_out_of_order_execution_ = allow_out_of_order_execution; } void TaskReceiver::Stop() { diff --git a/src/ray/core_worker/transport/task_receiver.h b/src/ray/core_worker/transport/task_receiver.h index 87c770ea1315..544ecbbc3f80 100644 --- a/src/ray/core_worker/transport/task_receiver.h +++ b/src/ray/core_worker/transport/task_receiver.h @@ -111,7 +111,9 @@ class TaskReceiver { private: /// Set up the configs for an actor. /// This should be called once for the actor creation task. - void SetupActor(bool is_asyncio, int fiber_max_concurrency, bool execute_out_of_order); + void SetupActor(bool is_asyncio, + int fiber_max_concurrency, + bool allow_out_of_order_execution); /// The callback function to process a task. TaskHandler task_handler_; @@ -155,7 +157,7 @@ class TaskReceiver { /// Whether this actor executes tasks out of order with respect to client submission /// order. - bool execute_out_of_order_ = false; + bool allow_out_of_order_execution_ = false; /// The repr name of the actor instance for an anonymous actor. /// This is only available after the actor creation task. diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index e277ddd93609..d03d9286e7ff 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -778,7 +778,7 @@ message ActorCreationTaskSpec { // The concurrency groups of this actor. repeated ConcurrencyGroup concurrency_groups = 13; // Whether to enable out of order execution. - bool execute_out_of_order = 14; + bool allow_out_of_order_execution = 14; // The max number of pending actor calls. int32 max_pending_calls = 15; } diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 78e3099dba28..64a7dec8f287 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -62,7 +62,7 @@ message ActorHandle { string ray_namespace = 11; // Whether the actor supports out of order execution. - bool execute_out_of_order = 12; + bool allow_out_of_order_execution = 12; // The max number of pending actor calls. int32 max_pending_calls = 13; diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 7f2d8060cd99..5d1444186adb 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -252,7 +252,7 @@ TaskSpecBuilder DetachedActorCreationTaskBuilder(const rpc::Address &owner_addre /*is_asyncio=*/false, /*concurrency_groups=*/{}, /*extension_data=*/"", - /*execute_out_of_order=*/false, + /*allow_out_of_order_execution=*/false, /*root_detached_actor_id=*/actor_id); return task_spec_builder; } From 5ee8f439d73bfb0b7a07d1b21b389f6a2216a052 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 07:40:43 -0700 Subject: [PATCH 0495/1566] [cpp] remove ray cpp local genrule (#55237) using hermetic genrule to generate stuff everywhere now. and add `cpp` and `oss` tag for cpp worker tests. Signed-off-by: Lonnie Liu Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 5 ++++- ci/ci.sh | 1 + cpp/BUILD.bazel | 14 -------------- 3 files changed, 5 insertions(+), 15 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index c820567a46ec..09542fe0a8f3 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -405,7 +405,10 @@ steps: depends_on: coregpubuild - label: ":ray: core: cpp worker tests" - tags: core_cpp + tags: + - core_cpp + - cpp + - oss instance_type: medium commands: - if [[ "$${BUILDKITE_PIPELINE_ID}" == "0189942e-0876-4b8f-80a4-617f988ec59b" ]]; then diff --git a/ci/ci.sh b/ci/ci.sh index 5b94d2cb8493..8afa3ccc78a6 100755 --- a/ci/ci.sh +++ b/ci/ci.sh @@ -121,6 +121,7 @@ test_cpp() { # So only set the flag in c++ worker example. More details: https://github.com/ray-project/ray/pull/18273 echo build --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" >> ~/.bazelrc bazel build --config=ci //cpp:all + bazel run --config=ci //cpp:gen_ray_cpp_pkg BAZEL_EXPORT_OPTIONS=($(./ci/run/bazel_export_options)) bazel test --config=ci "${BAZEL_EXPORT_OPTIONS[@]}" --test_strategy=exclusive //cpp:all --build_tests_only diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index aa9c3cba0395..26a7284bacdb 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -199,20 +199,6 @@ pkg_zip( visibility = ["//visibility:private"], ) -genrule( - name = "ray_cpp_pkg", - srcs = ["ray_cpp_pkg.zip"], - outs = ["ray_cpp_pkg.out"], - cmd = """ - WORK_DIR="$$(pwd)" && - rm -rf "$$WORK_DIR/python/ray/cpp" && - unzip -q $(location ray_cpp_pkg.zip) -d "$$WORK_DIR/python" && - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi - """, - local = 1, - visibility = ["//visibility:private"], -) - py_binary( name = "gen_ray_cpp_pkg", srcs = ["gen_ray_cpp_pkg.py"], From a7c24c375a2f9e3a49712891e940d1e2a3883ab6 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Tue, 5 Aug 2025 07:42:55 -0700 Subject: [PATCH 0496/1566] [llm] recover LLM release tests (#55220) https://github.com/ray-project/ray/pull/55067 is failing release tests (they had not finished running when the PR was merged) - `DeepSeek-V2-Lite` no longer requires `trust_remote_code: True`; changing model - LoRA requests is now a dictionary keyed by the LoRA name, not a list of objects - `tokenizer_pool_type` is no longer a valid CLI arg in vLLM - `task` now required in `vllm.PoolingParams` Closes https://github.com/ray-project/ray/issues/52074 --------- Signed-off-by: Seiji Eicher Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../batch/stages/vllm_engine_stage.py | 2 +- .../serve/deployments/llm/vllm/vllm_engine.py | 12 +--- python/ray/llm/tests/BUILD | 2 - .../serve/benchmark/benchmark_vllm.py | 2 +- .../serve/test_llm_serve_integration.py | 65 +++++++++++++------ 5 files changed, 47 insertions(+), 36 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index b20213fc52f2..481da600da7b 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -284,7 +284,7 @@ async def _prepare_llm_request(self, row: Dict[str, Any]) -> vLLMEngineRequest: guided_decoding=guided_decoding, ) elif self.task_type == vLLMTaskType.EMBED: - params = vllm.PoolingParams() + params = vllm.PoolingParams(task=self.task_type.value) else: raise ValueError(f"Unsupported task type: {self.task_type}") diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index e727389731a6..4dd29eed2cb7 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -360,19 +360,9 @@ def _start_async_llm_engine( async def resolve_lora(self, disk_lora_model: DiskMultiplexConfig): from vllm.entrypoints.openai.protocol import LoadLoRAAdapterRequest - # TODO (Kourosh): We should uncomment this logic when - # https://github.com/vllm-project/vllm/pull/20636 is - # included in our vLLM release. - # if disk_lora_model.model_id in self._oai_models.lora_requests: - # # Lora is already loaded, return - # return - self._validate_openai_serving_models() - if any( - lora_request.lora_name == disk_lora_model.model_id - for lora_request in self._oai_models.lora_requests # type: ignore[attr-defined] - ): + if disk_lora_model.model_id in self._oai_models.lora_requests: # Lora is already loaded, return return diff --git a/python/ray/llm/tests/BUILD b/python/ray/llm/tests/BUILD index f4dcb3604e51..8384b6a877f9 100644 --- a/python/ray/llm/tests/BUILD +++ b/python/ray/llm/tests/BUILD @@ -43,8 +43,6 @@ py_test_module_list( }, files = glob( ["batch/gpu/**/test_*.py"], - # TODO(ray-llm): fix this test: https://github.com/ray-project/ray/issues/52074 - exclude = ["batch/gpu/processor/test_vllm_engine_proc.py"], ), tags = [ "exclusive", diff --git a/release/llm_tests/serve/benchmark/benchmark_vllm.py b/release/llm_tests/serve/benchmark/benchmark_vllm.py index 15d15b95055b..48486d65fe27 100644 --- a/release/llm_tests/serve/benchmark/benchmark_vllm.py +++ b/release/llm_tests/serve/benchmark/benchmark_vllm.py @@ -82,7 +82,7 @@ def get_vllm_cli_args(llm_config): # subprocesses are resolved we can remove these constraints engine_kwargs.pop("tokenizer_pool_extra_config", None) engine_kwargs.pop("tokenizer_pool_size", None) - engine_kwargs["tokenizer_pool_type"] = None + engine_kwargs.pop("tokenizer_pool_type", None) cli_args = ["--model", llm_config["model_loading_config"]["model_id"]] for key, value in engine_kwargs.items(): diff --git a/release/llm_tests/serve/test_llm_serve_integration.py b/release/llm_tests/serve/test_llm_serve_integration.py index dcca2a107f9f..f579c80f020c 100644 --- a/release/llm_tests/serve/test_llm_serve_integration.py +++ b/release/llm_tests/serve/test_llm_serve_integration.py @@ -114,6 +114,46 @@ async def test_engine_metrics_with_spec_decode(): pass +def is_default_app_running(): + """Check if the default application is running successfully.""" + try: + default_app = serve.status().applications[SERVE_DEFAULT_APP_NAME] + return default_app.status == ApplicationStatus.RUNNING + except (KeyError, AttributeError): + return False + + +@pytest.mark.parametrize("model_name", ["deepseek-ai/DeepSeek-V2-Lite"]) +def test_deepseek_model(model_name): + """ + Test that the deepseek model can be loaded successfully. + """ + llm_config = LLMConfig( + model_loading_config=dict( + model_id=model_name, + model_source=model_name, + ), + runtime_env=dict(env_vars={"VLLM_USE_V1": "1"}), + deployment_config=dict( + autoscaling_config=dict(min_replicas=1, max_replicas=1), + ), + engine_kwargs=dict( + tensor_parallel_size=2, + pipeline_parallel_size=2, + gpu_memory_utilization=0.92, + dtype="auto", + max_num_seqs=40, + max_model_len=8192, + enable_chunked_prefill=True, + enable_prefix_caching=True, + enforce_eager=True, + ), + ) + app = build_openai_app({"llm_configs": [llm_config]}) + serve.run(app, blocking=False) + wait_for_condition(is_default_app_running, timeout=300) + + @pytest.mark.asyncio(scope="function") @pytest.fixture def remote_model_app(request): @@ -128,24 +168,15 @@ def remote_model_app(request): base_config = { "model_loading_config": dict( - model_id="deepseek", - model_source="deepseek-ai/DeepSeek-V2-Lite", + model_id="hmellor/Ilama-3.2-1B", + model_source="hmellor/Ilama-3.2-1B", ), "runtime_env": dict(env_vars={"VLLM_USE_V1": "1"}), "deployment_config": dict( autoscaling_config=dict(min_replicas=1, max_replicas=1), ), "engine_kwargs": dict( - tensor_parallel_size=2, - pipeline_parallel_size=2, - gpu_memory_utilization=0.92, - dtype="auto", - max_num_seqs=40, - max_model_len=8192, - enable_chunked_prefill=True, - enable_prefix_caching=True, trust_remote_code=remote_code, - enforce_eager=True, ), } @@ -161,14 +192,6 @@ def remote_model_app(request): class TestRemoteCode: """Tests for remote code model loading behavior.""" - def _is_default_app_running(self): - """Check if the default application is running successfully.""" - try: - default_app = serve.status().applications[SERVE_DEFAULT_APP_NAME] - return default_app.status == ApplicationStatus.RUNNING - except (KeyError, AttributeError): - return False - @pytest.mark.parametrize("remote_model_app", [False], indirect=True) def test_remote_code_failure(self, remote_model_app): """ @@ -194,7 +217,7 @@ def check_for_failed_deployment(): wait_for_condition(check_for_failed_deployment, timeout=120) except TimeoutError: # If deployment didn't fail, check if it succeeded - if self._is_default_app_running(): + if is_default_app_running(): pytest.fail( "App deployed successfully without trust_remote_code=True. " "This model may not actually require remote code. " @@ -213,7 +236,7 @@ def test_remote_code_success(self, remote_model_app): serve.run(app, blocking=False) # Wait for the application to be running (timeout after 5 minutes) - wait_for_condition(self._is_default_app_running, timeout=300) + wait_for_condition(is_default_app_running, timeout=300) if __name__ == "__main__": From 3c73f646b9e99558230bc1e69906b06cfadb99f7 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Tue, 5 Aug 2025 07:56:16 -0700 Subject: [PATCH 0497/1566] [Core] Only listen to localhost and head node ip from proxy and client server (#55210) Signed-off-by: avigyabb Signed-off-by: Douglas Strodtman --- python/ray/_private/services.py | 4 +--- python/ray/tests/conftest.py | 2 +- python/ray/tests/test_client.py | 4 ++-- python/ray/tests/test_client_builder.py | 2 +- python/ray/tests/test_client_init.py | 2 +- python/ray/tests/test_client_proxy.py | 6 ++++-- python/ray/util/client/__init__.py | 2 +- python/ray/util/client/ray_client_helpers.py | 4 ++-- python/ray/util/client/server/proxier.py | 15 +++++++++------ python/ray/util/client/server/server.py | 15 +++++++++------ 10 files changed, 31 insertions(+), 25 deletions(-) diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index 9256b7061e3d..c43321c583e4 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -2355,9 +2355,7 @@ def start_ray_client_server( root_ray_dir, "_private", "workers", ray_constants.SETUP_WORKER_FILENAME ) - ray_client_server_host = ( - "127.0.0.1" if ray_client_server_ip == "127.0.0.1" else "0.0.0.0" - ) + ray_client_server_host = ray_client_server_ip command = [ sys.executable, setup_worker_path, diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index 8adc4348b3aa..fa16dfed6d53 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -848,7 +848,7 @@ def call_ray_start_with_external_redis(request): def init_and_serve(): import ray.util.client.server.server as ray_client_server - server_handle, _ = ray_client_server.init_and_serve("localhost:50051") + server_handle, _ = ray_client_server.init_and_serve("localhost", 50051) yield server_handle ray_client_server.shutdown_with_server(server_handle.grpc_server) time.sleep(2) diff --git a/python/ray/tests/test_client.py b/python/ray/tests/test_client.py index a876900bec2d..f45ae35cc5de 100644 --- a/python/ray/tests/test_client.py +++ b/python/ray/tests/test_client.py @@ -651,7 +651,7 @@ def run_client(): thread = threading.Thread(target=run_client, daemon=True) thread.start() time.sleep(3) - server = ray_client_server.serve("localhost:50051") + server = ray_client_server.serve("localhost", 50051) thread.join() server.stop(0) ray_client._inside_client_test = False @@ -671,7 +671,7 @@ def stop_server(server): time.sleep(2) server.stop(0) - server = ray_client_server.serve("localhost:50051") + server = ray_client_server.serve("localhost", 50051) ray_client.connect("localhost:50051") thread = threading.Thread(target=stop_server, args=(server,)) thread.start() diff --git a/python/ray/tests/test_client_builder.py b/python/ray/tests/test_client_builder.py index a079da22f9ec..5bcad34ca8a5 100644 --- a/python/ray/tests/test_client_builder.py +++ b/python/ray/tests/test_client_builder.py @@ -362,7 +362,7 @@ def test_client_deprecation_warn(): ) ray.shutdown() - server = ray_client_server.serve("localhost:50055") + server = ray_client_server.serve("localhost", 50055) # Test warning when namespace and runtime env aren't specified with warnings.catch_warnings(record=True) as w: diff --git a/python/ray/tests/test_client_init.py b/python/ray/tests/test_client_init.py index 92433c44dd6e..a217245eed28 100644 --- a/python/ray/tests/test_client_init.py +++ b/python/ray/tests/test_client_init.py @@ -53,7 +53,7 @@ def init_and_serve_lazy(ray_start_cluster): def connect(job_config=None, **ray_init_kwargs): ray.init(address=address, job_config=job_config, **ray_init_kwargs) - server_handle = ray_client_server.serve("localhost:50051", connect) + server_handle = ray_client_server.serve("localhost", 50051, connect) yield server_handle ray_client_server.shutdown_with_server(server_handle.grpc_server) diff --git a/python/ray/tests/test_client_proxy.py b/python/ray/tests/test_client_proxy.py index e4ad4e6be8de..0fc80b259ddc 100644 --- a/python/ray/tests/test_client_proxy.py +++ b/python/ray/tests/test_client_proxy.py @@ -182,7 +182,8 @@ def test_delay_in_rewriting_environment(shutdown_only): """ ray_instance = ray.init() server = proxier.serve_proxier( - "localhost:25010", + "localhost", + 25010, ray_instance["address"], session_dir=ray_instance["session_dir"], ) @@ -220,7 +221,8 @@ def test_startup_error_yields_clean_result(shutdown_only): """ ray_instance = ray.init() server = proxier.serve_proxier( - "localhost:25030", + "localhost", + 25030, ray_instance["address"], session_dir=ray_instance["session_dir"], ) diff --git a/python/ray/util/client/__init__.py b/python/ray/util/client/__init__.py index fd253024ce8d..e3d009f172a5 100644 --- a/python/ray/util/client/__init__.py +++ b/python/ray/util/client/__init__.py @@ -170,7 +170,7 @@ def init(self, *args, **kwargs): import ray.util.client.server.server as ray_client_server server_handle, address_info = ray_client_server.init_and_serve( - "127.0.0.1:50051", *args, **kwargs + "127.0.0.1", 50051, *args, **kwargs ) self._server = server_handle.grpc_server self.connect("127.0.0.1:50051") diff --git a/python/ray/util/client/ray_client_helpers.py b/python/ray/util/client/ray_client_helpers.py index 68b783e3219a..f1ff0eab01e8 100644 --- a/python/ray/util/client/ray_client_helpers.py +++ b/python/ray/util/client/ray_client_helpers.py @@ -43,7 +43,7 @@ def ray_start_client_server_pair(metadata=None, ray_connect_handler=None, **kwar with disable_client_hook(): assert not ray.is_initialized() server = ray_client_server.serve( - "127.0.0.1:50051", ray_connect_handler=ray_connect_handler + "127.0.0.1", 50051, ray_connect_handler=ray_connect_handler ) ray.connect("127.0.0.1:50051", metadata=metadata, **kwargs) try: @@ -71,7 +71,7 @@ def ray_connect_handler(job_config=None, **ray_init_kwargs): real_ray.init(address=address) server = ray_client_server.serve( - "127.0.0.1:50051", ray_connect_handler=ray_connect_handler + "127.0.0.1", 50051, ray_connect_handler=ray_connect_handler ) ray.connect("127.0.0.1:50051") try: diff --git a/python/ray/util/client/server/proxier.py b/python/ray/util/client/server/proxier.py index 5fc5ff2fbf77..68af8956e662 100644 --- a/python/ray/util/client/server/proxier.py +++ b/python/ray/util/client/server/proxier.py @@ -825,8 +825,9 @@ def Logstream(self, request_iterator, context): def serve_proxier( - connection_str: str, - address: Optional[str], + host: str, + port: int, + gcs_address: Optional[str], *, redis_username: Optional[str] = None, redis_password: Optional[str] = None, @@ -837,8 +838,8 @@ def serve_proxier( # before calling ray.init within the RayletServicers. # NOTE(edoakes): redis_address and redis_password should only be None in # tests. - if address is not None: - gcs_cli = GcsClient(address=address) + if gcs_address is not None: + gcs_cli = GcsClient(address=gcs_address) ray.experimental.internal_kv._initialize_internal_kv(gcs_cli) server = grpc.server( @@ -846,7 +847,7 @@ def serve_proxier( options=GRPC_OPTIONS, ) proxy_manager = ProxyManager( - address, + gcs_address, session_dir=session_dir, redis_username=redis_username, redis_password=redis_password, @@ -858,7 +859,9 @@ def serve_proxier( ray_client_pb2_grpc.add_RayletDriverServicer_to_server(task_servicer, server) ray_client_pb2_grpc.add_RayletDataStreamerServicer_to_server(data_servicer, server) ray_client_pb2_grpc.add_RayletLogStreamerServicer_to_server(logs_servicer, server) - add_port_to_grpc_server(server, connection_str) + if host != "127.0.0.1" and host != "localhost": + add_port_to_grpc_server(server, f"127.0.0.1:{port}") + add_port_to_grpc_server(server, f"{host}:{port}") server.start() return ClientServerHandle( task_servicer=task_servicer, diff --git a/python/ray/util/client/server/server.py b/python/ray/util/client/server/server.py index 8810bc65ab5d..bba5a5e18e48 100644 --- a/python/ray/util/client/server/server.py +++ b/python/ray/util/client/server/server.py @@ -764,7 +764,7 @@ def decode_options(options: ray_client_pb2.TaskOptions) -> Optional[Dict[str, An return opts -def serve(connection_str, ray_connect_handler=None): +def serve(host: str, port: int, ray_connect_handler=None): def default_connect_handler( job_config: JobConfig = None, **ray_init_kwargs: Dict[str, Any] ): @@ -786,7 +786,9 @@ def default_connect_handler( ray_client_pb2_grpc.add_RayletDriverServicer_to_server(task_servicer, server) ray_client_pb2_grpc.add_RayletDataStreamerServicer_to_server(data_servicer, server) ray_client_pb2_grpc.add_RayletLogStreamerServicer_to_server(logs_servicer, server) - add_port_to_grpc_server(server, connection_str) + if host != "127.0.0.1" and host != "localhost": + add_port_to_grpc_server(server, f"127.0.0.1:{port}") + add_port_to_grpc_server(server, f"{host}:{port}") current_handle = ClientServerHandle( task_servicer=task_servicer, data_servicer=data_servicer, @@ -797,7 +799,7 @@ def default_connect_handler( return current_handle -def init_and_serve(connection_str, *args, **kwargs): +def init_and_serve(host: str, port: int, *args, **kwargs): with disable_client_hook(): # Disable client mode inside the worker's environment info = ray.init(*args, **kwargs) @@ -810,7 +812,7 @@ def ray_connect_handler(job_config=None, **ray_init_kwargs): else: return ray.init(job_config=job_config, *args, **kwargs) - server_handle = serve(connection_str, ray_connect_handler=ray_connect_handler) + server_handle = serve(host, port, ray_connect_handler=ray_connect_handler) return (server_handle, info) @@ -898,14 +900,15 @@ def main(): logger.info(f"Starting Ray Client server on {hostport}, args {args_str}") if args.mode == "proxy": server = serve_proxier( - hostport, + args.host, + args.port, args.address, redis_username=args.redis_username, redis_password=args.redis_password, runtime_env_agent_address=args.runtime_env_agent_address, ) else: - server = serve(hostport, ray_connect_handler) + server = serve(args.host, args.port, ray_connect_handler) try: idle_checks_remaining = TIMEOUT_FOR_SPECIFIC_SERVER_S From 8289cab05c535013e9f398824da6bf8b8265fc8c Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Tue, 5 Aug 2025 19:00:15 +0200 Subject: [PATCH 0498/1566] [RLlib] DreamerV3 torch: Fix cont. actions learning. (#55140) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-algorithms.rst | 1 + release/release_tests.yaml | 33 +++++++- rllib/BUILD | 39 ++++++++-- .../dreamerv3/tests/test_dreamerv3.py | 22 ++++++ .../torch/dreamerv3_torch_learner.py | 31 +++----- .../torch/dreamerv3_torch_rl_module.py | 2 +- .../dreamerv3/torch/models/actor_network.py | 2 +- .../dreamerv3/torch/models/dreamer_model.py | 77 +++++++++++++------ rllib/env/wrappers/dm_control_wrapper.py | 31 ++++++-- .../dreamerv3/atari_100k_dreamerv3.py | 2 +- .../dm_control_suite_vision_dreamerv3.py | 28 ++++++- .../dreamerv3/pendulum_dreamerv3.py | 43 ++++++++++- 12 files changed, 244 insertions(+), 67 deletions(-) diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index d66394f3c137..41c109d5962b 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -249,6 +249,7 @@ DreamerV3 --------- `[paper] `__ `[implementation] `__ +`[RLlib readme] `__ Also see `this README here for more details on how to run experiments `__ with DreamerV3. diff --git a/release/release_tests.yaml b/release/release_tests.yaml index f838a8313338..13b71af5e941 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2680,6 +2680,37 @@ cluster: cluster_compute: 4gpus_64cpus_gce.yaml +- name: rllib_learning_tests_pendulum_dreamerv3_torch + group: RLlib tests + working_dir: rllib_tests + + stable: true + + frequency: nightly + team: rllib + cluster: + byod: + type: gpu + post_build_script: byod_rllib_dreamerv3_test.sh + runtime_env: + - RLLIB_TEST_NO_JAX_IMPORT=1 + - LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ray/.mujoco/mujoco210/bin + cluster_compute: 2gpus_32cpus.yaml + + run: + timeout: 3600 # 1h + script: python learning_tests/tuned_examples/dreamerv3/pendulum_dreamerv3.py --framework=torch --num-learners=2 --stop-reward=-200.0 --as-release-test + + alert: default + + variations: + - __suffix__: aws + - __suffix__: gce + env: gce + frequency: manual + cluster: + cluster_compute: 2gpus_32cpus_gce.yaml + # -------------------------- # IMPALA # -------------------------- @@ -2702,7 +2733,7 @@ run: timeout: 1800 - script: python learning_tests/tuned_examples/impala/pong_impala.py --num-learners=0 --num-env-runners=46 --stop-reward=19.5 --as-release-test + script: python learning_tests/tuned_examples/impala/pong_impala.py --num-learners=0 --num-env-runners=46 --stop-reward=19.0 --as-release-test alert: default diff --git a/rllib/BUILD b/rllib/BUILD index 144d6364b4f8..8ed94ce32d53 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -838,6 +838,30 @@ py_test( ], ) +# DreamerV3 +# takes too long (up to 20-30min to learn -200 on 1 GPU) +# # Pendulum +# py_test( +# name = "learning_tests_pendulum_dreamerv3_gpu", +# size = "large", +# srcs = ["tuned_examples/dreamerv3/pendulum_dreamerv3.py"], +# args = [ +# "--as-test", +# "--num-gpus-per-learner=1", +# "--num-learners=1", +# ], +# main = "tuned_examples/marwil/cartpole_marwil.py", +# tags = [ +# "exclusive", +# "gpu", +# "learning_tests", +# "learning_tests_continuous", +# "learning_tests_pytorch_use_all_core", +# "team:rllib", +# "torch_only", +# ], +# ) + # IMPALA # CartPole py_test( @@ -2041,12 +2065,15 @@ py_test( ) # DreamerV3 -# py_test( -# name = "test_dreamerv3", -# tags = ["team:rllib", "algorithms_dir"], -# size = "large", -# srcs = ["algorithms/dreamerv3/tests/test_dreamerv3.py"] -# ) +py_test( + name = "test_dreamerv3", + size = "large", + srcs = ["algorithms/dreamerv3/tests/test_dreamerv3.py"], + tags = [ + "algorithms_dir", + "team:rllib", + ], +) # IMPALA py_test( diff --git a/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py b/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py index 9a0cdafd937d..a3936253a80b 100644 --- a/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py +++ b/rllib/algorithms/dreamerv3/tests/test_dreamerv3.py @@ -23,6 +23,7 @@ from ray.rllib.connectors.env_to_module import FlattenObservations from ray.rllib.core import DEFAULT_MODULE_ID from ray.rllib.env.wrappers.atari_wrappers import wrap_atari_for_new_api_stack +from ray.rllib.env.wrappers.dm_control_wrapper import ActionClip, DMCEnv from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import one_hot from ray.rllib.utils.test_utils import check @@ -67,6 +68,7 @@ def test_dreamerv3_compilation(self): num_iterations = 3 for env in [ + # "DMC/cartpole/swingup", # causes strange MuJoCo error(s) on CI "FrozenLake-v1", "CartPole-v1", "ale_py:ALE/MsPacman-v5", @@ -99,6 +101,26 @@ def env_creator(cfg): tune.register_env("env", env_creator) env = "env" + elif env.startswith("DMC"): + parts = env.split("/") + assert len(parts) == 3, ( + "ERROR: DMC env must be formatted as 'DMC/[task]/[domain]', e.g. " + f"'DMC/cartpole/swingup'! You provided '{env}'." + ) + + def env_creator(cfg): + return ActionClip( + DMCEnv( + parts[1], + parts[2], + from_pixels=True, + channels_first=False, + ) + ) + + tune.register_env("env", env_creator) + env = "env" + config.environment(env) algo = config.build_algo() obs_space = algo.env_runner._env_to_module.observation_space diff --git a/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py index 5a66fe67c943..f33b9d2deb57 100644 --- a/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py +++ b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_learner.py @@ -161,12 +161,12 @@ def compute_gradients( # Do actor and critic's grad computations first, such that after those two, # we can zero out the gradients of the world model again (they will have values # in them from the actor/critic backwards). - for component in ["actor", "critic"]: + for component in ["actor", "critic", "world_model"]: optim = self.get_optimizer(DEFAULT_MODULE_ID, component) optim.zero_grad(set_to_none=True) # Do the backward pass loss = self._temp_losses.pop(component.upper()) - loss.backward(retain_graph=True) + loss.backward(retain_graph=component in ["actor", "critic"]) optim_grads = { pid: p.grad for pid, p in self.filter_param_dict_for_optimizer( @@ -177,23 +177,6 @@ def compute_gradients( assert ref not in grads grads[ref] = grad - # Now do the world model. - component = "world_model" - optim = self.get_optimizer(DEFAULT_MODULE_ID, component) - optim.zero_grad(set_to_none=True) - # Do the backward pass - loss = self._temp_losses.pop(component.upper()) - loss.backward() - wm_grads = { - pid: p.grad - for pid, p in self.filter_param_dict_for_optimizer( - self._params, optim - ).items() - } - for ref, grad in wm_grads.items(): - assert ref not in grads - grads[ref] = grad - return grads @override(TorchLearner) @@ -707,7 +690,13 @@ def _compute_critic_loss( ) # Get (B x T x probs) tensor from return distributions. - value_symlog_logits_HxB = dream_data["values_symlog_dreamed_logits_t0_to_HxBxT"] + # Use the value function outputs that don't graph-trace back through the + # world model. The other corresponding value function outputs + # which do trace back through the world model are only used for cont. actions + # for the actor loss (to compute the scaled value targets). + value_symlog_logits_HxB = dream_data[ + "values_symlog_dreamed_logits_t0_to_HxBxT_wm_detached" + ] # Unfold time rank and cut last time index to match value targets. value_symlog_logits_t0_to_Hm1_B = value_symlog_logits_HxB.view( [H, B, value_symlog_logits_HxB.shape[-1]] @@ -856,7 +845,7 @@ def _compute_value_targets( for t in reversed(range(discount.shape[0])): Rs.append(intermediates[t] + discount[t] * config.gae_lambda * Rs[-1]) - # Reverse along time axis and cut the last entry (value estimate at very end + # Reverse time axis and cut the last entry (value estimate at very end # cannot be learnt from as it's the same as the ... well ... value estimate). targets_t0toHm1_BxT = torch.stack(list(reversed(Rs))[:-1], dim=0) # targets.shape=[t0 to H-1,BxT] diff --git a/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py index 94e1d6b35690..ea7b31c5a1d6 100644 --- a/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py +++ b/rllib/algorithms/dreamerv3/torch/dreamerv3_torch_rl_module.py @@ -43,7 +43,7 @@ def _forward_inference(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: @override(TorchRLModule) def _forward_exploration(self, batch: Dict[str, Any], **kwargs) -> Dict[str, Any]: - # Call the Dreamer-Model's forward_inference method and return a dict. + # Call the Dreamer-Model's forward_exploration method and return a dict. with torch.no_grad(): actions, next_state = self.dreamer_model.forward_exploration( observations=batch[Columns.OBS], diff --git a/rllib/algorithms/dreamerv3/torch/models/actor_network.py b/rllib/algorithms/dreamerv3/torch/models/actor_network.py index 11b9afe5b17b..8a02a41bd9bf 100644 --- a/rllib/algorithms/dreamerv3/torch/models/actor_network.py +++ b/rllib/algorithms/dreamerv3/torch/models/actor_network.py @@ -138,7 +138,7 @@ def forward(self, h, z, return_distr_params=False): distr_params = torch.cat([mean_logits, std_logits], dim=-1) distr = self.get_action_dist_object(distr_params) - action = distr.sample() + action = distr.rsample() if return_distr_params: return action, distr_params diff --git a/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py b/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py index 8e7fa2195285..60e4e044a1bd 100644 --- a/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py +++ b/rllib/algorithms/dreamerv3/torch/models/dreamer_model.py @@ -217,15 +217,19 @@ def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma a_dreamed_t0_to_H.append(a) a_dreamed_dist_params_t0_to_H.append(a_dist_params) + # Disable all gradients from the world model so they don't get backprop'd + # through twice when computing the actor loss (for cont. actions). + for p in self.world_model.parameters(): + p.requires_grad_(False) + for i in range(timesteps_H): # Move one step in the dream using the RSSM. - with torch.no_grad(): - h = self.world_model.sequence_model(a=a, h=h, z=z) - h_states_t0_to_H.append(h) + h = self.world_model.sequence_model(a=a, h=h, z=z) + h_states_t0_to_H.append(h) - # Compute prior z using dynamics model. - z = self.world_model.dynamics_predictor(h=h) - z_states_prior_t0_to_H.append(z) + # Compute prior z using dynamics model. + z = self.world_model.dynamics_predictor(h=h) + z_states_prior_t0_to_H.append(z) # Compute `a` using actor network. a, a_dist_params = self.actor( @@ -248,10 +252,9 @@ def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma a_dreamed_dist_params_H_B = torch.stack(a_dreamed_dist_params_t0_to_H, dim=0) # Compute r using reward predictor. - with torch.no_grad(): - r_dreamed_H_B = inverse_symlog( - self.world_model.reward_predictor(h=h_states_HxB, z=z_states_prior_HxB) - ) + r_dreamed_H_B = inverse_symlog( + self.world_model.reward_predictor(h=h_states_HxB, z=z_states_prior_HxB) + ) r_dreamed_H_B = r_dreamed_H_B.reshape([timesteps_H + 1, -1]) # Compute intrinsic rewards. @@ -267,11 +270,10 @@ def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma del results_HxB # Compute continues using continue predictor. - with torch.no_grad(): - c_dreamed_HxB = self.world_model.continue_predictor( - h=h_states_HxB, - z=z_states_prior_HxB, - ) + c_dreamed_HxB = self.world_model.continue_predictor( + h=h_states_HxB, + z=z_states_prior_HxB, + ) c_dreamed_H_B = c_dreamed_HxB.reshape([timesteps_H + 1, -1]) # Force-set first `continue` flags to False iff `start_is_terminated`. # Note: This will cause the loss-weights for this row in the batch to be @@ -287,22 +289,46 @@ def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma # boundary should not be used for critic/actor learning either. dream_loss_weights_H_B = torch.cumprod(gamma * c_dreamed_H_B, dim=0) / gamma - # Compute the value estimates. - v, v_symlog_dreamed_logits_HxB = self.critic( + # Reactivate world model gradients. + for p in self.world_model.parameters(): + p.requires_grad_(True) + + # Compute the symlog'd value logits (w/o world model gradients; used for the + # critic loss). + _, v_symlog_dreamed_logits_HxB_wm_detached = self.critic( + h=h_states_HxB.detach(), + z=z_states_prior_HxB.detach(), + use_ema=False, + return_logits=True, + ) + + # Compute the value estimates (including world model gradients -> 1 sequence + # model step after the action has been computed; used for the scaled value + # target used in the actor loss for cont. actions). + # Disable all gradients from the critic so they don't get backprop'd + # through twice when computing the actor loss (for cont. actions). + for p in self.critic.parameters(): + p.requires_grad_(False) + v, _ = self.critic( h=h_states_HxB, z=z_states_prior_HxB, use_ema=False, return_logits=True, ) + # Reactivate critic gradients. + for p in self.critic.parameters(): + p.requires_grad_(True) v_dreamed_HxB = inverse_symlog(v) v_dreamed_H_B = v_dreamed_HxB.reshape([timesteps_H + 1, -1]) - v_symlog_dreamed_ema_HxB = self.critic( - h=h_states_HxB, - z=z_states_prior_HxB, - return_logits=False, - use_ema=True, - ) + # Compute the EMA net outputs w/o any gradients. + with torch.no_grad(): + v_symlog_dreamed_ema_HxB = self.critic( + h=h_states_HxB.detach(), + z=z_states_prior_HxB.detach(), + return_logits=False, + use_ema=True, + ) v_symlog_dreamed_ema_H_B = v_symlog_dreamed_ema_HxB.reshape( [timesteps_H + 1, -1] ) @@ -314,8 +340,11 @@ def dream_trajectory(self, start_states, start_is_terminated, timesteps_H, gamma "continues_dreamed_t0_to_H_BxT": c_dreamed_H_B, "actions_dreamed_t0_to_H_BxT": a_dreamed_H_B, "actions_dreamed_dist_params_t0_to_H_BxT": a_dreamed_dist_params_H_B, + # Critic (w/ world-model grads for actor loss). "values_dreamed_t0_to_H_BxT": v_dreamed_H_B, - "values_symlog_dreamed_logits_t0_to_HxBxT": v_symlog_dreamed_logits_HxB, + # Critic (world-model detached, for critic loss). + "values_symlog_dreamed_logits_t0_to_HxBxT_wm_detached": v_symlog_dreamed_logits_HxB_wm_detached, + # Critic EMA. "v_symlog_dreamed_ema_t0_to_H_BxT": v_symlog_dreamed_ema_H_B, # Loss weights for critic- and actor losses. "dream_loss_weights_t0_to_H_BxT": dream_loss_weights_H_B, diff --git a/rllib/env/wrappers/dm_control_wrapper.py b/rllib/env/wrappers/dm_control_wrapper.py index 8408bbf552ac..431e34a19037 100644 --- a/rllib/env/wrappers/dm_control_wrapper.py +++ b/rllib/env/wrappers/dm_control_wrapper.py @@ -24,7 +24,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ -from gymnasium import core, spaces +import gymnasium as gym try: from dm_env import specs @@ -40,7 +40,7 @@ suite = None import numpy as np -from ray.rllib.utils.annotations import PublicAPI +from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI def _spec_to_box(spec): @@ -62,7 +62,7 @@ def extract_min_max(s): low = np.concatenate(mins, axis=0) high = np.concatenate(maxs, axis=0) assert low.shape == high.shape - return spaces.Box(low, high, dtype=np.float32) + return gym.spaces.Box(low, high, dtype=np.float32) def _flatten_obs(obs): @@ -74,7 +74,7 @@ def _flatten_obs(obs): @PublicAPI -class DMCEnv(core.Env): +class DMCEnv(gym.Env): def __init__( self, domain_name, @@ -126,18 +126,18 @@ def __init__( # true and normalized action spaces self._true_action_space = _spec_to_box([self._env.action_spec()]) - self._norm_action_space = spaces.Box( + self._norm_action_space = gym.spaces.Box( low=-1.0, high=1.0, shape=self._true_action_space.shape, dtype=np.float32 ) # create observation space if from_pixels: shape = [3, height, width] if channels_first else [height, width, 3] - self._observation_space = spaces.Box( + self._observation_space = gym.spaces.Box( low=0, high=255, shape=shape, dtype=np.uint8 ) if preprocess: - self._observation_space = spaces.Box( + self._observation_space = gym.spaces.Box( low=-0.5, high=0.5, shape=shape, dtype=np.float32 ) else: @@ -218,3 +218,20 @@ def render(self, mode="rgb_array", height=None, width=None, camera_id=0): width = width or self._width camera_id = camera_id or self._camera_id return self._env.physics.render(height=height, width=width, camera_id=camera_id) + + +@DeveloperAPI +class ActionClip(gym.ActionWrapper): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._low = -1.0 + self._high = 1.0 + self.action_space = gym.spaces.Box( + self._low, + self._high, + self.action_space.shape, + self.action_space.dtype, + ) + + def action(self, action): + return np.clip(action, self._low, self._high) diff --git a/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py b/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py index c1152c1b8506..dabf4cfd96ea 100644 --- a/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py +++ b/rllib/tuned_examples/dreamerv3/atari_100k_dreamerv3.py @@ -50,7 +50,7 @@ def _env_creator(cfg): tune.register_env("env", _env_creator) default_config = DreamerV3Config() -lr_multiplier = (args.num_learners or 1) ** 0.5 +lr_multiplier = args.num_learners or 1 config = ( DreamerV3Config() diff --git a/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py b/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py index 15a03ed1521e..645b4adb2d90 100644 --- a/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py +++ b/rllib/tuned_examples/dreamerv3/dm_control_suite_vision_dreamerv3.py @@ -14,7 +14,9 @@ # To see all available options: # python [this script name].py --help +from ray import tune from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config +from ray.rllib.env.wrappers.dm_control_wrapper import ActionClip, DMCEnv from ray.rllib.utils.test_utils import add_rllib_example_script_args parser = add_rllib_example_script_args( @@ -22,6 +24,7 @@ default_reward=800.0, default_timesteps=1000000, ) +parser.set_defaults(env="DMC/cartpole/swingup") # Use `parser` to add your own custom command line options to this script # and (if needed) use their values to set up `config` below. args = parser.parse_args() @@ -30,16 +33,33 @@ if args.num_envs_per_env_runner is None: args.num_envs_per_env_runner = 4 * (args.num_learners or 1) +parts = args.env.split("/") +assert len(parts) == 3, ( + "ERROR: DMC env must be formatted as 'DMC/[task]/[domain]', e.g. " + f"'DMC/cartpole/swingup'! You provided '{args.env}'." +) + + +def env_creator(cfg): + return ActionClip( + DMCEnv( + parts[1], + parts[2], + from_pixels=True, + channels_first=False, + ) + ) + + +tune.register_env("env", env_creator) + default_config = DreamerV3Config() lr_multiplier = (args.num_learners or 1) ** 0.5 config = ( DreamerV3Config() # Use image observations. - .environment( - env=args.env, - env_config={"from_pixels": True}, - ) + .environment(env="env") .env_runners( remote_worker_envs=True, ) diff --git a/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py b/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py index cfb9c49f6d1c..5caf05cf9990 100644 --- a/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py +++ b/rllib/tuned_examples/dreamerv3/pendulum_dreamerv3.py @@ -8,6 +8,20 @@ https://arxiv.org/pdf/2010.02193.pdf """ from ray.rllib.algorithms.dreamerv3.dreamerv3 import DreamerV3Config +from ray.rllib.utils.test_utils import add_rllib_example_script_args + +parser = add_rllib_example_script_args( + default_iters=10000, + default_reward=-200.0, + default_timesteps=100000, +) +# Use `parser` to add your own custom command line options to this script +# and (if needed) use their values to set up `config` below. +args = parser.parse_args() +# If we use >1 GPU and increase the batch size accordingly, we should also +# increase the number of envs per worker. +if args.num_envs_per_env_runner is None: + args.num_envs_per_env_runner = args.num_learners or 1 # Run with: # python [this script name].py @@ -15,8 +29,35 @@ # To see all available options: # python [this script name].py --help +default_config = DreamerV3Config() +lr_multiplier = args.num_learners or 1 + + config = ( DreamerV3Config() .environment("Pendulum-v1") - .training(model_size="XS", training_ratio=1024) + .env_runners( + remote_worker_envs=(args.num_learners and args.num_learners > 1), + ) + .reporting( + metrics_num_episodes_for_smoothing=(args.num_learners or 1), + report_images_and_videos=False, + report_dream_data=False, + report_individual_batch_item_stats=False, + ) + # See Appendix A. + .training( + model_size="S", + training_ratio=1024, + batch_size_B=16 * (args.num_learners or 1), + world_model_lr=default_config.world_model_lr * lr_multiplier, + actor_lr=default_config.actor_lr * lr_multiplier, + critic_lr=default_config.critic_lr * lr_multiplier, + ) ) + + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + run_rllib_example_script_experiment(config, args) From 9fb979b68f574e76704379576016411aa096f681 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 5 Aug 2025 10:01:34 -0700 Subject: [PATCH 0499/1566] [Data] Replace `_MapWorker` name with operator names (#52949) ## Why are these changes needed? Actors launched by distinct `ActorPoolMapOperator`s are all named `_MapWorker`. So, it's impossible to disambiguate them in Grafana charts. This PR addresses this issue by dynamically creating a new `_MapWorker` subclass for each `ActorPoolMapOperator` instance that's appropriately named. See https://github.com/ray-project/ray/issues/46323 ## Related issue number Fixes https://github.com/ray-project/ray/issues/46323 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../operators/actor_pool_map_operator.py | 17 +++-- .../data/tests/test_dynamic_block_split.py | 9 +-- python/ray/data/tests/test_map.py | 75 +++---------------- 3 files changed, 25 insertions(+), 76 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index f2fc258d397c..818ee7ac7fe7 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -162,8 +162,12 @@ def __init__( self._actor_task_selector = self._create_task_selector(self._actor_pool) # A queue of bundles awaiting dispatch to actors. self._bundle_queue = create_bundle_queue() + # HACK: Without this, all actors show up as `_MapWorker` in Grafana, so we can’t + # tell which operator they belong to. To fix that, we dynamically create a new + # class per operator with a unique name. + self._map_worker_cls = type(f"MapWorker({self.name})", (_MapWorker,), {}) # Cached actor class. - self._cls = None + self._actor_cls = None # Whether no more submittable bundles will be added. self._inputs_done = False @@ -194,7 +198,7 @@ def start(self, options: ExecutionOptions): super().start(options) # Create the actor workers and add them to the pool. - self._cls = ray.remote(**self._ray_remote_args)(_MapWorker) + self._actor_cls = ray.remote(**self._ray_remote_args)(self._map_worker_cls) self._actor_pool.scale( ActorPoolScalingRequest( delta=self._actor_pool.min_size(), reason="scaling to min size" @@ -238,11 +242,11 @@ def _start_actor( Returns: A tuple of the actor handle and the object ref to the actor's location. """ - assert self._cls is not None + assert self._actor_cls is not None ctx = self.data_context if self._ray_remote_args_fn: self._refresh_actor_cls() - actor = self._cls.options( + actor = self._actor_cls.options( _labels={self._OPERATOR_ID_LABEL_KEY: self.id, **labels} ).remote( ctx=ctx, @@ -251,7 +255,7 @@ def _start_actor( map_transformer=self._map_transformer, actor_location_tracker=get_or_create_actor_location_tracker(), ) - res_ref = actor.get_location.options(name=f"{self.name}.get_location").remote() + res_ref = actor.get_location.remote() def _task_done_callback(res_ref): # res_ref is a future for a now-ready actor; move actor from pending to the @@ -298,7 +302,6 @@ def _dispatch_tasks(self): ) gen = actor.submit.options( num_returns="streaming", - name=f"{self.name}.submit", **self._ray_actor_task_remote_args, ).remote( self.data_context, @@ -343,7 +346,7 @@ def _refresh_actor_cls(self): for k, v in new_remote_args.items(): remote_args[k] = v new_and_overriden_remote_args[k] = v - self._cls = ray.remote(**remote_args)(_MapWorker) + self._actor_cls = ray.remote(**remote_args)(self._map_worker_cls) return new_and_overriden_remote_args def all_inputs_done(self): diff --git a/python/ray/data/tests/test_dynamic_block_split.py b/python/ray/data/tests/test_dynamic_block_split.py index 588611336fdb..e8cbcf1f2369 100644 --- a/python/ray/data/tests/test_dynamic_block_split.py +++ b/python/ray/data/tests/test_dynamic_block_split.py @@ -174,7 +174,7 @@ def __call__(self, x): identity_func = IdentityClass empty_func = EmptyClass func_name = "IdentityClass" - task_name = f"ReadRandomBytes->MapBatches({func_name}).submit" + task_name = f"MapWorker(ReadRandomBytes->MapBatches({func_name})).submit" ray.shutdown() # We need at least 2 CPUs to run a actorpool streaming @@ -219,13 +219,12 @@ def warmup(): map_ds = map_ds.materialize() num_blocks_expected = num_tasks * num_blocks_per_task assert map_ds._plan.initial_num_blocks() == num_blocks_expected + expected_actor_name = f"MapWorker(ReadRandomBytes->MapBatches({func_name}))" assert_core_execution_metrics_equals( CoreExecutionMetrics( task_count={ - "MapWorker(ReadRandomBytes->MapBatches" - f"({func_name})).get_location": lambda count: True, - "_MapWorker.__init__": lambda count: True, - "_MapWorker.get_location": lambda count: True, + f"{expected_actor_name}.__init__": lambda count: True, + f"{expected_actor_name}.get_location": lambda count: True, task_name: num_tasks, }, ), diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index b17f42bc4096..6c3f9c6d4a37 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -29,7 +29,6 @@ from ray.data._internal.execution.interfaces.ref_bundle import ( _ref_bundles_iterator_to_block_refs_list, ) -from ray.data._internal.execution.operators.actor_pool_map_operator import _MapWorker from ray.data._internal.planner.plan_udf_map_op import ( _generate_transform_fn_for_async_map, _MapActorContext, @@ -39,7 +38,7 @@ from ray.data.expressions import col, lit from ray.data.tests.conftest import * # noqa from ray.data.tests.test_util import ConcurrencyCounter # noqa -from ray.data.tests.util import column_udf, column_udf_class, extract_values +from ray.data.tests.util import column_udf, extract_values from ray.exceptions import RayTaskError from ray.tests.conftest import * # noqa @@ -58,73 +57,21 @@ def test_specifying_num_cpus_and_num_gpus_logs_warning( ), caplog.text -def test_basic_actors(shutdown_only, target_max_block_size_infinite_or_default): - ray.init(num_cpus=6) - n = 5 - ds = ray.data.range(n) - assert sorted( - extract_values( - "id", - ds.map( - column_udf_class("id", lambda x: x + 1), - concurrency=1, - ).take(), - ) - ) == list(range(1, n + 1)) - - # Should still work even if num actors > num cpus. - ds = ray.data.range(n) - assert sorted( - extract_values( - "id", - ds.map( - column_udf_class("id", lambda x: x + 1), - concurrency=4, - ).take(), - ) - ) == list(range(1, n + 1)) - - # Test setting custom max inflight tasks. - ds = ray.data.range(10, override_num_blocks=5) - assert sorted( - extract_values( - "id", - ds.map( - column_udf_class("id", lambda x: x + 1), - compute=ray.data.ActorPoolStrategy(max_tasks_in_flight_per_actor=3), - ).take(), - ) - ) == list(range(1, 11)) - - # Test invalid max tasks inflight arg. +def test_invalid_max_tasks_in_flight_raises_error(): with pytest.raises(ValueError): - ray.data.range(10).map( - column_udf_class("id", lambda x: x), - compute=ray.data.ActorPoolStrategy(max_tasks_in_flight_per_actor=0), - ) + ray.data.ActorPoolStrategy(max_tasks_in_flight_per_actor=0) - # Test min no more than max check. - with pytest.raises(ValueError): - ray.data.range(10).map( - column_udf_class("id", lambda x: x), - concurrency=(8, 4), - ) - # Make sure all actors are dead after dataset execution finishes. - def _all_actors_dead(): - actor_table = ray.state.actors() - actors = { - _id: actor_info - for _id, actor_info in actor_table.items() - if actor_info["ActorClassName"] == _MapWorker.__name__ - } - assert len(actors) > 0 - return all(actor_info["State"] == "DEAD" for actor_info in actors.values()) +@pytest.mark.parametrize("concurrency", [(2, 1), -1]) +def test_invalid_concurrency_raises_error(shutdown_only, concurrency): + ray.init() - import gc + class UDF: + def __call__(self, row): + return row - gc.collect() - wait_for_condition(_all_actors_dead) + with pytest.raises(ValueError): + ray.data.range(1).map(UDF, concurrency=concurrency) def test_callable_classes(shutdown_only, target_max_block_size_infinite_or_default): From bc42f545195cf732ba38889bcd9fe0551c8d8601 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 5 Aug 2025 23:49:59 +0530 Subject: [PATCH 0500/1566] change default batch timeout (#55126) - increasing the batch default timeout from 0.0 to 0.01(10 milliseconds) `batch_wait_timeout=0.0` is a weird default and effectively disables batching, hence changing it to 10 milliseconds as the default --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- doc/source/serve/advanced-guides/dyn-req-batch.md | 6 +++--- python/ray/serve/batching.py | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/doc/source/serve/advanced-guides/dyn-req-batch.md b/doc/source/serve/advanced-guides/dyn-req-batch.md index e38ef30092df..0ff2b9a4cd84 100644 --- a/doc/source/serve/advanced-guides/dyn-req-batch.md +++ b/doc/source/serve/advanced-guides/dyn-req-batch.md @@ -31,9 +31,9 @@ emphasize-lines: 11-12 ``` You can supply 3 optional parameters to the decorators. -- `batch_wait_timeout_s` controls how long Serve should wait for a batch once the first request arrives. -- `max_batch_size` controls the size of the batch. -- `max_concurrent_batches` maximum number of batches that can run concurrently. +- `batch_wait_timeout_s` controls how long Serve should wait for a batch once the first request arrives. The default value is 0.01 (10 milliseconds). +- `max_batch_size` controls the size of the batch. The default value is 10. +- `max_concurrent_batches` maximum number of batches that can run concurrently. The default value is 1. Once the first request arrives, the batching decorator waits for a full batch (up to `max_batch_size`) until `batch_wait_timeout_s` is reached. If the timeout is reached, the Serve sends the batch to the model regardless the batch size. diff --git a/python/ray/serve/batching.py b/python/ray/serve/batching.py index 8be63765c43e..41c1b64e516a 100644 --- a/python/ray/serve/batching.py +++ b/python/ray/serve/batching.py @@ -551,7 +551,7 @@ def batch( _: Literal[None] = None, /, max_batch_size: int = 10, - batch_wait_timeout_s: float = 0.0, + batch_wait_timeout_s: float = 0.01, max_concurrent_batches: int = 1, ) -> "_BatchDecorator": ... @@ -588,7 +588,7 @@ def batch( _func: Optional[Callable] = None, /, max_batch_size: int = 10, - batch_wait_timeout_s: float = 0.0, + batch_wait_timeout_s: float = 0.01, max_concurrent_batches: int = 1, ) -> Callable: """Converts a function to asynchronously handle batches. From 69cc780a933478db1362fa2d84b90456746529c8 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 5 Aug 2025 13:21:02 -0500 Subject: [PATCH 0501/1566] [core] Move raylet build targets out of global `BUILD.bazel` (#55199) - Move raylet targets to `src/ray/raylet/...` - Remove dependencies on `raylet_lib`. - Move flatbuffer schema to `src/ray/flatbuffers/` - Moved tests into the `test/` subdirectory. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 386 +----------------- cpp/BUILD.bazel | 6 +- src/ray/common/BUILD.bazel | 4 +- src/ray/common/client_connection.h | 2 +- src/ray/flatbuffers/BUILD.bazel | 20 + .../format => flatbuffers}/node_manager.fbs | 0 src/ray/gcs/BUILD.bazel | 2 +- src/ray/object_manager/BUILD.bazel | 2 +- src/ray/object_manager/test/BUILD.bazel | 10 +- src/ray/raylet/BUILD.bazel | 291 +++++++++++++ src/ray/raylet/dependency_manager.h | 2 + src/ray/raylet/node_manager.cc | 2 +- src/ray/raylet/scheduling/BUILD.bazel | 34 +- .../scheduling/cluster_task_manager_test.cc | 4 +- src/ray/raylet/test/BUILD.bazel | 190 +++++++++ .../{ => test}/dependency_manager_test.cc | 0 .../{ => test}/local_task_manager_test.cc | 0 .../placement_group_resource_manager_test.cc | 0 .../runtime_env_agent_client_test.cc | 0 .../raylet/{ => test}/wait_manager_test.cc | 0 ...rker_killing_policy_group_by_owner_test.cc | 0 ...rker_killing_policy_retriable_fifo_test.cc | 0 .../{ => test}/worker_killing_policy_test.cc | 0 src/ray/raylet/{ => test}/worker_pool_test.cc | 0 src/ray/raylet/worker.cc | 2 +- src/ray/raylet_client/BUILD.bazel | 1 + src/ray/raylet_client/raylet_client.cc | 2 +- src/ray/util/tests/BUILD.bazel | 3 +- 28 files changed, 553 insertions(+), 410 deletions(-) create mode 100644 src/ray/flatbuffers/BUILD.bazel rename src/ray/{raylet/format => flatbuffers}/node_manager.fbs (100%) create mode 100644 src/ray/raylet/BUILD.bazel create mode 100644 src/ray/raylet/test/BUILD.bazel rename src/ray/raylet/{ => test}/dependency_manager_test.cc (100%) rename src/ray/raylet/{ => test}/local_task_manager_test.cc (100%) rename src/ray/raylet/{ => test}/placement_group_resource_manager_test.cc (100%) rename src/ray/raylet/{ => test}/runtime_env_agent_client_test.cc (100%) rename src/ray/raylet/{ => test}/wait_manager_test.cc (100%) rename src/ray/raylet/{ => test}/worker_killing_policy_group_by_owner_test.cc (100%) rename src/ray/raylet/{ => test}/worker_killing_policy_retriable_fifo_test.cc (100%) rename src/ray/raylet/{ => test}/worker_killing_policy_test.cc (100%) rename src/ray/raylet/{ => test}/worker_pool_test.cc (100%) diff --git a/BUILD.bazel b/BUILD.bazel index b49eacb01c4e..34851fedfb44 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -7,7 +7,6 @@ # If you would like to help with the move in your PR, please use `git mv` so that the history of the file is retained. load("@bazel_skylib//rules:common_settings.bzl", "bool_flag") -load("@com_github_google_flatbuffers//:build_defs.bzl", "flatbuffer_cc_library") load("@com_github_grpc_grpc//bazel:cc_grpc_library.bzl", "cc_grpc_library") load("@com_github_grpc_grpc//bazel:cython_library.bzl", "pyx_library") load("@hedron_compile_commands//:refresh_compile_commands.bzl", "refresh_compile_commands") @@ -17,7 +16,7 @@ load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto//proto:defs.bzl", "proto_library") load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_runtime", "py_runtime_pair") -load("//bazel:ray.bzl", "COPTS", "FLATC_ARGS", "PYX_COPTS", "PYX_SRCS", "ray_cc_binary", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "COPTS", "PYX_COPTS", "PYX_SRCS", "ray_cc_library") package( default_visibility = ["//visibility:public"], @@ -137,227 +136,6 @@ cc_grpc_library( deps = ["//src/ray/protobuf:ray_syncer_cc_proto"], ) -ray_cc_library( - name = "ray_common", - deps = [ - "//src/ray/common:asio", - "//src/ray/common:constants", - "//src/ray/common:event_stats", - "//src/ray/common:file_system_monitor", - "//src/ray/common:grpc_util", - "//src/ray/common:id", - "//src/ray/common:memory_monitor", - "//src/ray/common:network", - "//src/ray/common:ray_config", - "//src/ray/common:ray_syncer", - "//src/ray/common:status", - "//src/ray/common:status_or", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/stats:stats_metric", - "@com_google_googletest//:gtest", - ], -) - -ray_cc_binary( - name = "raylet", - srcs = ["src/ray/raylet/main.cc"], - visibility = ["//java:__subpackages__"], - deps = [ - ":raylet_lib", - "//src/ray/common/cgroup:cgroup_manager", - "//src/ray/util", - "//src/ray/util:cmd_line_utils", - "//src/ray/util:stream_redirection", - "//src/ray/util:stream_redirection_options", - "@com_github_gflags_gflags//:gflags", - ], -) - -ray_cc_library( - name = "raylet_agent_manager", - srcs = ["src/ray/raylet/agent_manager.cc"], - hdrs = ["src/ray/raylet/agent_manager.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:ray_config", - "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/util", - "//src/ray/util:event", - "//src/ray/util:logging", - "//src/ray/util:process", - "//src/ray/util:thread_utils", - "@boost//:asio", - ], -) - -ray_cc_library( - name = "worker", - srcs = ["src/ray/raylet/worker.cc"], - hdrs = ["src/ray/raylet/worker.h"], - deps = [ - ":node_manager_fbs", - "//src/ray/common:id", - "//src/ray/common:network", - "//src/ray/common:task_common", - "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/rpc:core_worker_client", - "//src/ray/util:process", - "@com_google_absl//absl/memory", - "@com_google_absl//absl/time", - "@com_google_googletest//:gtest_prod", - ], -) - -ray_cc_library( - name = "runtime_env_agent_client", - srcs = ["src/ray/raylet/runtime_env_agent_client.cc"], - hdrs = ["src/ray/raylet/runtime_env_agent_client.h"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:ray_config", - "//src/ray/common:status", - "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/protobuf:runtime_env_agent_cc_proto", - "//src/ray/util:logging", - "@boost//:beast", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/strings:str_format", - ], -) - -ray_cc_library( - name = "worker_pool", - srcs = ["src/ray/raylet/worker_pool.cc"], - hdrs = ["src/ray/raylet/worker_pool.h"], - deps = [ - ":runtime_env_agent_client", - ":worker", - "//src/ray/common:constants", - "//src/ray/common:network", - "//src/ray/common:ray_config", - "//src/ray/common:runtime_env", - "//src/ray/common:status", - "//src/ray/common:task_common", - "//src/ray/core_worker:core_worker_common", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "@boost//:system", - "@com_google_absl//absl/strings", - ], -) - -ray_cc_library( - name = "wait_manager", - srcs = ["src/ray/raylet/wait_manager.cc"], - hdrs = ["src/ray/raylet/wait_manager.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/util:container_util", - ], -) - -ray_cc_library( - name = "local_object_manager_interface", - hdrs = ["src/ray/raylet/local_object_manager_interface.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:ray_object", - "//src/ray/protobuf:node_manager_cc_proto", - ], -) - -ray_cc_library( - name = "local_object_manager", - srcs = ["src/ray/raylet/local_object_manager.cc"], - hdrs = ["src/ray/raylet/local_object_manager.h"], - deps = [ - ":local_object_manager_interface", - ":worker_pool", - "//src/ray/common:id", - "//src/ray/common:ray_object", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/object_manager:object_directory", - "//src/ray/object_manager:object_manager_common", - "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/pubsub:subscriber", - "//src/ray/rpc:core_worker_client", - ], -) - -ray_cc_library( - name = "raylet_lib", - srcs = [ - "src/ray/raylet/dependency_manager.cc", - "src/ray/raylet/local_task_manager.cc", - "src/ray/raylet/node_manager.cc", - "src/ray/raylet/placement_group_resource_manager.cc", - "src/ray/raylet/raylet.cc", - "src/ray/raylet/worker_killing_policy.cc", - "src/ray/raylet/worker_killing_policy_group_by_owner.cc", - "src/ray/raylet/worker_killing_policy_retriable_fifo.cc", - ], - hdrs = [ - "src/ray/raylet/dependency_manager.h", - "src/ray/raylet/local_task_manager.h", - "src/ray/raylet/node_manager.h", - "src/ray/raylet/placement_group_resource_manager.h", - "src/ray/raylet/raylet.h", - "src/ray/raylet/test/util.h", - "src/ray/raylet/worker_killing_policy.h", - "src/ray/raylet/worker_killing_policy_group_by_owner.h", - "src/ray/raylet/worker_killing_policy_retriable_fifo.h", - ], - linkopts = select({ - "@platforms//os:windows": [ - ], - "//conditions:default": [ - "-lpthread", - ], - }), - deps = [ - ":local_object_manager", - ":local_object_manager_interface", - ":node_manager_fbs", - ":raylet_agent_manager", - ":runtime_env_agent_client", - ":wait_manager", - ":worker", - ":worker_pool", - "//src/ray/common:memory_monitor", - "//src/ray/core_worker:experimental_mutable_object_provider", - "//src/ray/gcs", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/object_manager", - "//src/ray/object_manager:ownership_object_directory", - "//src/ray/object_manager/plasma:plasma_client", - "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:runtime_env_agent_cc_proto", - "//src/ray/pubsub:subscriber", - "//src/ray/raylet/scheduling:scheduler", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:node_manager_client", - "//src/ray/rpc:node_manager_server", - "//src/ray/stats:stats_lib", - "//src/ray/util:cmd_line_utils", - "//src/ray/util:container_util", - "//src/ray/util:throttler", - "@boost//:asio", - "@boost//:system", - "@com_github_jupp0r_prometheus_cpp//pull", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/memory", - "@com_google_absl//absl/strings", - "@com_google_absl//absl/strings:str_format", - "@com_google_googletest//:gtest_prod", - "@io_opencensus_cpp//opencensus/exporters/stats/prometheus:prometheus_exporter", - "@io_opencensus_cpp//opencensus/stats", - "@io_opencensus_cpp//opencensus/tags", - ], -) - # This header is used to wrap some internal codes so we can reduce suspicious # symbols export. ray_cc_library( @@ -379,158 +157,6 @@ ray_cc_library( alwayslink = 1, ) -ray_cc_test( - name = "local_object_manager_test", - size = "small", - srcs = [ - "src/ray/raylet/test/local_object_manager_test.cc", - ], - tags = ["team:core"], - deps = [ - ":ray_mock", - ":raylet_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_pool_test", - size = "small", - srcs = ["src/ray/raylet/worker_pool_test.cc"], - tags = [ - "no_tsan", - "team:core", - ], - deps = [ - ":ray_mock", - ":worker_pool", - "//src/ray/util:path_utils", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "placement_group_resource_manager_test", - size = "small", - srcs = ["src/ray/raylet/placement_group_resource_manager_test.cc"], - tags = ["team:core"], - deps = [ - "ray_common", - "raylet_lib", - ":ray_mock", - "//src/ray/gcs/test:gcs_test_util_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "runtime_env_agent_client_test", - size = "small", - srcs = ["src/ray/raylet/runtime_env_agent_client_test.cc"], - tags = ["team:core"], - deps = [ - "ray_common", - "raylet_lib", - ":ray_mock", - "//src/ray/gcs/test:gcs_test_util_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "dependency_manager_test", - size = "small", - srcs = ["src/ray/raylet/dependency_manager_test.cc"], - tags = ["team:core"], - deps = [ - ":raylet_lib", - "//:ray_mock", - "//src/ray/common:test_util", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "local_task_manager_test", - size = "small", - srcs = ["src/ray/raylet/local_task_manager_test.cc"], - tags = ["team:core"], - deps = [ - ":ray_mock", - ":raylet_lib", - "//src/ray/common:test_util", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "node_manager_test", - size = "small", - srcs = ["src/ray/raylet/test/node_manager_test.cc"], - tags = ["team:core"], - deps = [ - ":local_object_manager_interface", - ":ray_fakes", - ":ray_mock", - ":raylet_lib", - "//src/ray/util:macros", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "wait_manager_test", - size = "small", - srcs = ["src/ray/raylet/wait_manager_test.cc"], - tags = ["team:core"], - deps = [ - ":raylet_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_killing_policy_test", - size = "small", - srcs = [ - "src/ray/raylet/worker_killing_policy_test.cc", - ], - tags = ["team:core"], - deps = [ - ":ray_common", - ":raylet_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_killing_policy_group_by_owner_test", - size = "small", - srcs = [ - "src/ray/raylet/worker_killing_policy_group_by_owner_test.cc", - ], - tags = ["team:core"], - deps = [ - ":ray_common", - ":raylet_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_killing_policy_retriable_fifo_test", - size = "small", - srcs = [ - "src/ray/raylet/worker_killing_policy_retriable_fifo_test.cc", - ], - tags = ["team:core"], - deps = [ - ":ray_common", - ":raylet_lib", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_library( name = "platform_shims", srcs = [] + select({ @@ -575,13 +201,6 @@ alias( actual = "@com_github_redis_hiredis//:hiredis", ) -flatbuffer_cc_library( - name = "node_manager_fbs", - srcs = ["src/ray/raylet/format/node_manager.fbs"], - flatc_args = FLATC_ARGS, - out_prefix = "ray/raylet/format/", -) - pyx_library( name = "_raylet", srcs = glob([ @@ -615,7 +234,6 @@ pyx_library( ), deps = [ "//:exported_internal", - "//:raylet_lib", "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", @@ -743,7 +361,7 @@ pkg_files( pkg_files( name = "raylet_files", - srcs = [":raylet"], + srcs = ["//src/ray/raylet"], attributes = pkg_attributes(mode = "755"), prefix = "ray/core/src/ray/raylet", visibility = ["//visibility:private"], diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 26a7284bacdb..fad359618fdd 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -60,7 +60,11 @@ cc_library( strip_include_prefix = "include", visibility = ["//visibility:public"], deps = [ - "//:ray_common", + "//src/ray/common:asio", + "//src/ray/common:constants", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", "//src/ray/core_worker:core_worker_lib", "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/util", diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index f4df06c72464..40d3a968a414 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -121,7 +121,7 @@ ray_cc_library( ":asio", ":id", ":status", - "//:node_manager_fbs", + "//src/ray/flatbuffers:node_manager_generated", ], ) @@ -187,7 +187,7 @@ ray_cc_library( ":ray_config", ":ray_object", ":runtime_env", - "//:node_manager_fbs", + "//src/ray/flatbuffers:node_manager_generated", "//src/ray/util", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/common/client_connection.h b/src/ray/common/client_connection.h index c82757e596ed..5d8b51711357 100644 --- a/src/ray/common/client_connection.h +++ b/src/ray/common/client_connection.h @@ -28,7 +28,7 @@ #include "ray/common/common_protocol.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/raylet/format/node_manager_generated.h" +#include "ray/flatbuffers/node_manager_generated.h" namespace ray { diff --git a/src/ray/flatbuffers/BUILD.bazel b/src/ray/flatbuffers/BUILD.bazel new file mode 100644 index 000000000000..5188848500c9 --- /dev/null +++ b/src/ray/flatbuffers/BUILD.bazel @@ -0,0 +1,20 @@ +load("@com_github_google_flatbuffers//:build_defs.bzl", "flatbuffer_cc_library") +load("//bazel:ray.bzl", "FLATC_ARGS", "ray_cc_library") + +flatbuffer_cc_library( + name = "node_manager_fbs", + srcs = ["node_manager.fbs"], + flatc_args = FLATC_ARGS, + out_prefix = "", + visibility = ["//visibility:private"], +) + +ray_cc_library( + name = "node_manager_generated", + hdrs = ["node_manager_generated.h"], + visibility = ["//visibility:public"], + deps = [ + ":node_manager_fbs", + "@com_github_google_flatbuffers//:flatbuffers", + ], +) diff --git a/src/ray/raylet/format/node_manager.fbs b/src/ray/flatbuffers/node_manager.fbs similarity index 100% rename from src/ray/raylet/format/node_manager.fbs rename to src/ray/flatbuffers/node_manager.fbs diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index ec89ef6d814f..b58e4cbe278f 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -51,6 +51,6 @@ ray_cc_library( ":gcs_callback", ":gcs_pb_util", ":gcs_redis_client", - "//:node_manager_fbs", + "//src/ray/rpc:node_manager_client", ], ) diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 779f635830fb..3013567accad 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -5,13 +5,13 @@ ray_cc_library( srcs = ["object_manager.cc"], hdrs = ["object_manager.h"], deps = [ - "spilled_object_reader", ":chunk_object_reader", ":object_buffer_pool", ":object_directory", ":object_manager_common", ":pull_manager", ":push_manager", + ":spilled_object_reader", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", diff --git a/src/ray/object_manager/test/BUILD.bazel b/src/ray/object_manager/test/BUILD.bazel index a44eb1490b1c..4a7192248f8b 100644 --- a/src/ray/object_manager/test/BUILD.bazel +++ b/src/ray/object_manager/test/BUILD.bazel @@ -8,6 +8,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + "//src/ray/common:id", "//src/ray/object_manager:pull_manager", "@com_google_googletest//:gtest_main", ], @@ -49,7 +50,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:raylet_lib", + "//src/ray/object_manager:push_manager", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", "@com_google_googletest//:gtest_main", ], ) @@ -62,7 +65,10 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:raylet_lib", + "//src/ray/object_manager:chunk_object_reader", + "//src/ray/object_manager:memory_object_reader", + "//src/ray/object_manager:spilled_object_reader", + "//src/ray/util:filesystem", "//src/ray/util:path_utils", "@boost//:endian", "@com_google_absl//absl/strings:str_format", diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel new file mode 100644 index 000000000000..6184f8ff9393 --- /dev/null +++ b/src/ray/raylet/BUILD.bazel @@ -0,0 +1,291 @@ +load("//bazel:ray.bzl", "ray_cc_binary", "ray_cc_library") + +ray_cc_library( + name = "agent_manager", + srcs = ["agent_manager.cc"], + hdrs = ["agent_manager.h"], + visibility = ["//visibility:private"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/util", + "//src/ray/util:event", + "//src/ray/util:logging", + "//src/ray/util:process", + "//src/ray/util:thread_utils", + "@boost//:asio", + ], +) + +ray_cc_library( + name = "dependency_manager", + srcs = ["dependency_manager.cc"], + hdrs = ["dependency_manager.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/object_manager", + "//src/ray/util:counter_map", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +# TODO(edoakes): looks like this belongs under scheduling/... +ray_cc_library( + name = "local_task_manager", + srcs = ["local_task_manager.cc"], + hdrs = ["local_task_manager.h"], + visibility = [":__subpackages__"], + deps = [ + ":dependency_manager", + ":worker", + ":worker_pool", + "//src/ray/common:ray_object", + "//src/ray/common:task_common", + "//src/ray/object_manager:object_manager_common", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/raylet/scheduling:local_task_manager_interface", + "//src/ray/raylet/scheduling:scheduler_internal", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +ray_cc_library( + name = "placement_group_resource_manager", + srcs = ["placement_group_resource_manager.cc"], + hdrs = ["placement_group_resource_manager.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/util", + "//src/ray/util:container_util", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + +ray_cc_library( + name = "wait_manager", + srcs = ["wait_manager.cc"], + hdrs = ["wait_manager.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/util:container_util", + ], +) + +ray_cc_library( + name = "worker", + srcs = ["worker.cc"], + hdrs = ["worker.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:network", + "//src/ray/common:task_common", + "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/rpc:core_worker_client", + "//src/ray/util:process", + "@com_google_absl//absl/memory", + "@com_google_absl//absl/time", + "@com_google_googletest//:gtest_prod", + ], +) + +ray_cc_library( + name = "worker_pool", + srcs = ["worker_pool.cc"], + hdrs = ["worker_pool.h"], + visibility = [":__subpackages__"], + deps = [ + ":runtime_env_agent_client", + ":worker", + "//src/ray/common:constants", + "//src/ray/common:network", + "//src/ray/common:ray_config", + "//src/ray/common:runtime_env", + "//src/ray/common:status", + "//src/ray/common:task_common", + "//src/ray/core_worker:core_worker_common", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "@boost//:system", + "@com_google_absl//absl/strings", + ], +) + +ray_cc_library( + name = "runtime_env_agent_client", + srcs = ["runtime_env_agent_client.cc"], + hdrs = ["runtime_env_agent_client.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/common:status", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/protobuf:runtime_env_agent_cc_proto", + "//src/ray/util:logging", + "@boost//:beast", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/strings:str_format", + ], +) + +ray_cc_library( + name = "local_object_manager_interface", + hdrs = ["local_object_manager_interface.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:ray_object", + "//src/ray/protobuf:node_manager_cc_proto", + ], +) + +ray_cc_library( + name = "local_object_manager", + srcs = ["local_object_manager.cc"], + hdrs = ["local_object_manager.h"], + visibility = [":__subpackages__"], + deps = [ + ":local_object_manager_interface", + ":worker_pool", + "//src/ray/common:id", + "//src/ray/common:ray_object", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/object_manager:object_directory", + "//src/ray/object_manager:object_manager_common", + "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/pubsub:subscriber", + "//src/ray/rpc:core_worker_client", + ], +) + +ray_cc_library( + name = "worker_killing_policy", + srcs = [ + "worker_killing_policy.cc", + "worker_killing_policy_group_by_owner.cc", + "worker_killing_policy_retriable_fifo.cc", + ], + hdrs = [ + "worker_killing_policy.h", + "worker_killing_policy_group_by_owner.h", + "worker_killing_policy_retriable_fifo.h", + ], + visibility = [":__subpackages__"], + deps = [ + ":worker", + ":worker_pool", + "//src/ray/common:asio", + "//src/ray/common:memory_monitor", + "@boost//:container_hash", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/time", + "@com_google_googletest//:gtest_prod", + ], +) + +ray_cc_library( + name = "node_manager", + srcs = [ + "node_manager.cc", + ], + hdrs = [ + "node_manager.h", + ], + linkopts = select({ + "@platforms//os:windows": [ + ], + "//conditions:default": [ + "-lpthread", + ], + }), + visibility = [":__subpackages__"], + deps = [ + ":agent_manager", + ":dependency_manager", + ":local_object_manager_interface", + ":local_task_manager", + ":placement_group_resource_manager", + ":runtime_env_agent_client", + ":wait_manager", + ":worker", + ":worker_killing_policy", + ":worker_pool", + "//src/ray/common:memory_monitor", + "//src/ray/core_worker:experimental_mutable_object_provider", + "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/gcs", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/object_manager", + "//src/ray/object_manager:ownership_object_directory", + "//src/ray/object_manager/plasma:plasma_client", + "//src/ray/pubsub:publisher", + "//src/ray/pubsub:subscriber", + "//src/ray/raylet/scheduling:scheduler", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:node_manager_client", + "//src/ray/rpc:node_manager_server", + "//src/ray/stats:stats_lib", + "//src/ray/util:cmd_line_utils", + "//src/ray/util:container_util", + "//src/ray/util:throttler", + "@boost//:system", + "@com_google_absl//absl/base:core_headers", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/memory", + "@com_google_absl//absl/strings:str_format", + "@com_google_absl//absl/time", + "@com_google_googletest//:gtest_prod", + ], +) + +ray_cc_library( + name = "raylet_lib", + srcs = ["raylet.cc"], + hdrs = ["raylet.h"], + visibility = ["//visibility:private"], + deps = [ + ":node_manager", + "//src/ray/common:asio", + "//src/ray/object_manager", + "@boost//:asio", + ], +) + +ray_cc_binary( + name = "raylet", + srcs = ["main.cc"], + visibility = ["//visibility:public"], + deps = [ + ":local_object_manager", + ":local_object_manager_interface", + ":raylet_lib", + "//src/ray/common:asio", + "//src/ray/common:ray_config", + "//src/ray/common:status", + "//src/ray/common:task_common", + "//src/ray/common/cgroup:cgroup_manager", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/object_manager:ownership_object_directory", + "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/stats:stats_lib", + "//src/ray/util:cmd_line_utils", + "//src/ray/util:event", + "//src/ray/util:process", + "//src/ray/util:stream_redirection", + "//src/ray/util:stream_redirection_options", + "@com_github_gflags_gflags//:gflags", + "@nlohmann_json", + ], +) diff --git a/src/ray/raylet/dependency_manager.h b/src/ray/raylet/dependency_manager.h index 16f496db6086..e3933773c72f 100644 --- a/src/ray/raylet/dependency_manager.h +++ b/src/ray/raylet/dependency_manager.h @@ -20,6 +20,8 @@ #include #include +#include "absl/container/flat_hash_map.h" +#include "absl/container/flat_hash_set.h" #include "ray/common/common_protocol.h" #include "ray/common/id.h" #include "ray/common/task/task.h" diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 7170dcd3ce1a..a523a2351d5e 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -39,9 +39,9 @@ #include "ray/common/status.h" #include "ray/common/task/task_common.h" #include "ray/common/task/task_spec.h" +#include "ray/flatbuffers/node_manager_generated.h" #include "ray/gcs/pb_util.h" #include "ray/object_manager/ownership_object_directory.h" -#include "ray/raylet/format/node_manager_generated.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/raylet/worker_killing_policy.h" diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index bebb95eaa00f..8d7c28b6dd77 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -278,36 +278,39 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + ":cluster_resource_scheduler", "//:ray_mock", - "//:raylet_lib", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", "//src/ray/common:test_util", "@com_google_googletest//:gtest_main", ], ) ray_cc_test( - name = "local_resource_manager_test", + name = "cluster_resource_scheduler_2_test", size = "small", srcs = [ - "local_resource_manager_test.cc", + "cluster_resource_scheduler_2_test.cc", ], tags = ["team:core"], deps = [ - "//:ray_mock", - "//:raylet_lib", + ":cluster_resource_scheduler", + ":scheduling_context", + ":scheduling_options", "@com_google_googletest//:gtest_main", ], ) ray_cc_test( - name = "cluster_resource_scheduler_2_test", + name = "local_resource_manager_test", size = "small", srcs = [ - "cluster_resource_scheduler_2_test.cc", + "local_resource_manager_test.cc", ], tags = ["team:core"], deps = [ - "//:raylet_lib", + ":local_resource_manager", "@com_google_googletest//:gtest_main", ], ) @@ -320,7 +323,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:raylet_lib", + ":composite_scheduling_policy", "@com_google_googletest//:gtest_main", ], ) @@ -333,8 +336,10 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":scheduler", + ":composite_scheduling_policy", + ":hybrid_scheduling_policy", "@com_google_absl//absl/random:mock_distributions", + "@com_google_absl//absl/random:mocking_bit_gen", "@com_google_googletest//:gtest_main", ], ) @@ -347,9 +352,14 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + ":cluster_resource_scheduler", + ":cluster_task_manager", "//:ray_mock", - "//:raylet_lib", + "//src/ray/common:id", + "//src/ray/common:task_common", "//src/ray/common:test_util", + "//src/ray/raylet:local_task_manager", + "//src/ray/raylet/test:util", "@com_google_googletest//:gtest_main", ], ) @@ -362,7 +372,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:raylet_lib", + ":cluster_resource_manager", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/raylet/scheduling/cluster_task_manager_test.cc b/src/ray/raylet/scheduling/cluster_task_manager_test.cc index 0b0c1be058eb..27bc2bfa3c14 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager_test.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager_test.cc @@ -28,12 +28,12 @@ #include "gtest/gtest.h" #include "ray/common/id.h" #include "ray/common/scheduling/resource_set.h" +#include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" -#include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/common/scheduling/scheduling_ids.h" #include "ray/raylet/local_task_manager.h" +#include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/test/util.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" // clang-format on diff --git a/src/ray/raylet/test/BUILD.bazel b/src/ray/raylet/test/BUILD.bazel new file mode 100644 index 000000000000..abd8e45e5e4f --- /dev/null +++ b/src/ray/raylet/test/BUILD.bazel @@ -0,0 +1,190 @@ +load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") + +ray_cc_library( + name = "util", + hdrs = ["util.h"], + # NOTE(edoakes): scheduling/ tests use this; the dependency should be broken. + visibility = ["//visibility:public"], + deps = [ + "//src/ray/raylet:worker", + ], +) + +ray_cc_test( + name = "wait_manager_test", + size = "small", + srcs = ["wait_manager_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/raylet:wait_manager", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "worker_pool_test", + size = "small", + srcs = ["worker_pool_test.cc"], + tags = [ + "no_tsan", + "team:core", + ], + deps = [ + "//:ray_mock", + "//src/ray/raylet:worker_pool", + "//src/ray/util:path_utils", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "local_object_manager_test", + size = "small", + srcs = [ + "local_object_manager_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//:ray_mock", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/object_manager:ownership_object_directory", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/pubsub:subscriber", + "//src/ray/raylet:local_object_manager", + "//src/ray/raylet:worker_pool", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:grpc_client", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "placement_group_resource_manager_test", + size = "small", + srcs = ["placement_group_resource_manager_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/raylet:placement_group_resource_manager", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "runtime_env_agent_client_test", + size = "small", + srcs = ["runtime_env_agent_client_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/protobuf:runtime_env_agent_cc_proto", + "//src/ray/raylet:runtime_env_agent_client", + "@boost//:asio", + "@boost//:beast", + "@boost//:thread", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "dependency_manager_test", + size = "small", + srcs = ["dependency_manager_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/raylet:dependency_manager", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "local_task_manager_test", + size = "small", + srcs = ["local_task_manager_test.cc"], + tags = ["team:core"], + deps = [ + ":util", + "//:ray_mock", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/raylet:local_task_manager", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "worker_killing_policy_test", + size = "small", + srcs = [ + "worker_killing_policy_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//src/ray/common:task_common", + "//src/ray/raylet:worker_killing_policy", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "worker_killing_policy_group_by_owner_test", + size = "small", + srcs = [ + "worker_killing_policy_group_by_owner_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//src/ray/common:task_common", + "//src/ray/raylet:worker_killing_policy", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "worker_killing_policy_retriable_fifo_test", + size = "small", + srcs = [ + "worker_killing_policy_retriable_fifo_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//src/ray/common:task_common", + "//src/ray/raylet:worker_killing_policy", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "node_manager_test", + size = "small", + srcs = ["node_manager_test.cc"], + tags = ["team:core"], + deps = [ + ":util", + "//:ray_fakes", + "//:ray_mock", + "//src/ray/common:ray_object", + "//src/ray/object_manager/plasma:plasma_client", + "//src/ray/raylet:local_object_manager_interface", + "//src/ray/raylet:node_manager", + "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/util:macros", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/raylet/dependency_manager_test.cc b/src/ray/raylet/test/dependency_manager_test.cc similarity index 100% rename from src/ray/raylet/dependency_manager_test.cc rename to src/ray/raylet/test/dependency_manager_test.cc diff --git a/src/ray/raylet/local_task_manager_test.cc b/src/ray/raylet/test/local_task_manager_test.cc similarity index 100% rename from src/ray/raylet/local_task_manager_test.cc rename to src/ray/raylet/test/local_task_manager_test.cc diff --git a/src/ray/raylet/placement_group_resource_manager_test.cc b/src/ray/raylet/test/placement_group_resource_manager_test.cc similarity index 100% rename from src/ray/raylet/placement_group_resource_manager_test.cc rename to src/ray/raylet/test/placement_group_resource_manager_test.cc diff --git a/src/ray/raylet/runtime_env_agent_client_test.cc b/src/ray/raylet/test/runtime_env_agent_client_test.cc similarity index 100% rename from src/ray/raylet/runtime_env_agent_client_test.cc rename to src/ray/raylet/test/runtime_env_agent_client_test.cc diff --git a/src/ray/raylet/wait_manager_test.cc b/src/ray/raylet/test/wait_manager_test.cc similarity index 100% rename from src/ray/raylet/wait_manager_test.cc rename to src/ray/raylet/test/wait_manager_test.cc diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/test/worker_killing_policy_group_by_owner_test.cc similarity index 100% rename from src/ray/raylet/worker_killing_policy_group_by_owner_test.cc rename to src/ray/raylet/test/worker_killing_policy_group_by_owner_test.cc diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/test/worker_killing_policy_retriable_fifo_test.cc similarity index 100% rename from src/ray/raylet/worker_killing_policy_retriable_fifo_test.cc rename to src/ray/raylet/test/worker_killing_policy_retriable_fifo_test.cc diff --git a/src/ray/raylet/worker_killing_policy_test.cc b/src/ray/raylet/test/worker_killing_policy_test.cc similarity index 100% rename from src/ray/raylet/worker_killing_policy_test.cc rename to src/ray/raylet/test/worker_killing_policy_test.cc diff --git a/src/ray/raylet/worker_pool_test.cc b/src/ray/raylet/test/worker_pool_test.cc similarity index 100% rename from src/ray/raylet/worker_pool_test.cc rename to src/ray/raylet/test/worker_pool_test.cc diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index cdf7aeab5d63..fbdf0400a152 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/raylet/format/node_manager_generated.h" +#include "ray/flatbuffers/node_manager_generated.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 88db7a6de961..cba801af4382 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -25,6 +25,7 @@ ray_cc_library( "//src/ray/common:ray_object", "//src/ray/common:status", "//src/ray/common:task_common", + "//src/ray/flatbuffers:node_manager_generated", "//src/ray/protobuf:common_cc_proto", "//src/ray/rpc:node_manager_client", "//src/ray/util:logging", diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 2a96b4152fcd..eeac480517a7 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -25,7 +25,7 @@ #include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet/format/node_manager_generated.h" +#include "ray/flatbuffers/node_manager_generated.h" #include "ray/util/logging.h" using MessageType = ray::protocol::MessageType; diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index a4436bdf735c..207a661f2b92 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -159,7 +159,8 @@ ray_cc_test( srcs = ["signal_test.cc"], tags = ["team:core"], deps = [ - "//:raylet_lib", + "//src/ray/util", + "//src/ray/util:logging", "//src/ray/util:path_utils", "@com_google_googletest//:gtest_main", ], From 865a4b4bb74f0c0f650a0bc2017e9dbb3f538ad4 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 5 Aug 2025 15:46:30 -0400 Subject: [PATCH 0502/1566] [Data] Removed `target_shuffle_max_block_size` config (#55158) ## Why are these changes needed? This configuration seem to have been introduced in an attempt to address [release test failure](https://github.com/ray-project/ray/pull/40839) and now creates a diverging behavior where `target_max_block_size` isn't respected if either of sort/shuffle/aggregate operations are used. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 2 +- .../_internal/planner/plan_all_to_all_op.py | 8 +-- python/ray/data/context.py | 15 ++++-- python/ray/data/tests/test_block_sizing.py | 50 ++++++++++++------- .../data/tests/test_execution_optimizer.py | 8 +-- python/ray/data/tests/test_groupby_e2e.py | 5 +- 6 files changed, 53 insertions(+), 35 deletions(-) diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 76b1ab0d0df9..6b0083700fd0 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -832,7 +832,7 @@ py_test( py_test( name = "test_dynamic_block_split", - size = "medium", + size = "large", srcs = ["tests/test_dynamic_block_split.py"], tags = [ "data_non_parallel", diff --git a/python/ray/data/_internal/planner/plan_all_to_all_op.py b/python/ray/data/_internal/planner/plan_all_to_all_op.py index 54f3c013fdde..0fbef1188079 100644 --- a/python/ray/data/_internal/planner/plan_all_to_all_op.py +++ b/python/ray/data/_internal/planner/plan_all_to_all_op.py @@ -85,8 +85,6 @@ def plan_all_to_all_op( assert len(physical_children) == 1 input_physical_dag = physical_children[0] - target_max_block_size = None - if isinstance(op, RandomizeBlocks): fn = generate_randomize_blocks_fn(op) # Randomize block order does not actually compute anything, so we @@ -103,7 +101,6 @@ def plan_all_to_all_op( op._ray_remote_args, debug_limit_shuffle_execution_to_num_blocks, ) - target_max_block_size = data_context.target_shuffle_max_block_size elif isinstance(op, Repartition): if op._keys: @@ -119,7 +116,6 @@ def plan_all_to_all_op( ) elif op._shuffle: - target_max_block_size = data_context.target_shuffle_max_block_size debug_limit_shuffle_execution_to_num_blocks = data_context.get_config( "debug_limit_shuffle_execution_to_num_blocks", None ) @@ -143,7 +139,6 @@ def plan_all_to_all_op( data_context, debug_limit_shuffle_execution_to_num_blocks, ) - target_max_block_size = data_context.target_shuffle_max_block_size elif isinstance(op, Aggregate): if data_context.shuffle_strategy == ShuffleStrategy.HASH_SHUFFLE: @@ -159,7 +154,6 @@ def plan_all_to_all_op( data_context, debug_limit_shuffle_execution_to_num_blocks, ) - target_max_block_size = data_context.target_shuffle_max_block_size else: raise ValueError(f"Found unknown logical operator during planning: {op}") @@ -167,7 +161,7 @@ def plan_all_to_all_op( fn, input_physical_dag, data_context, - target_max_block_size=target_max_block_size, + target_max_block_size=None, num_outputs=op._num_outputs, sub_progress_bar_names=op._sub_progress_bar_names, name=op.name, diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 6cb84cace43d..4058adf1ba2f 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -314,8 +314,6 @@ class DataContext: Args: target_max_block_size: The max target block size in bytes for reads and transformations. If `None`, this means the block size is infinite. - target_shuffle_max_block_size: The max target block size in bytes for shuffle - ops like ``random_shuffle``, ``sort``, and ``repartition``. target_min_block_size: Ray Data avoids creating blocks smaller than this size in bytes on read. This takes precedence over ``read_op_min_num_blocks``. @@ -412,7 +410,6 @@ class DataContext: # `None` means the block size is infinite. target_max_block_size: Optional[int] = DEFAULT_TARGET_MAX_BLOCK_SIZE - target_shuffle_max_block_size: int = DEFAULT_SHUFFLE_TARGET_MAX_BLOCK_SIZE target_min_block_size: int = DEFAULT_TARGET_MIN_BLOCK_SIZE streaming_read_buffer_size: int = DEFAULT_STREAMING_READ_BUFFER_SIZE enable_pandas_block: bool = DEFAULT_ENABLE_PANDAS_BLOCK @@ -579,17 +576,25 @@ def __setattr__(self, name: str, value: Any) -> None: and value != DEFAULT_WRITE_FILE_RETRY_ON_ERRORS ): warnings.warn( - "`write_file_retry_on_errors` is deprecated. Configure " + "`write_file_retry_on_errors` is deprecated! Configure " "`retried_io_errors` instead.", DeprecationWarning, ) + elif name == "use_push_based_shuffle": warnings.warn( - "`use_push_based_shuffle` is deprecated, please configure " + "`use_push_based_shuffle` is deprecated! Configure " "`shuffle_strategy` instead.", DeprecationWarning, ) + elif name == "target_shuffle_max_block_size": + warnings.warn( + "`target_shuffle_max_block_size` is deprecated! Configure `target_max_block_size` instead." + ) + + self.target_max_block_size = value + elif name == "use_polars": warnings.warn( "`use_polars` is deprecated, please configure " diff --git a/python/ray/data/tests/test_block_sizing.py b/python/ray/data/tests/test_block_sizing.py index bf6ebb45eda5..7470a804a92e 100644 --- a/python/ray/data/tests/test_block_sizing.py +++ b/python/ray/data/tests/test_block_sizing.py @@ -88,9 +88,10 @@ def test_map(shutdown_only, restore_data_context): block_size_expected=ctx.target_max_block_size // 2, ) - # Setting the shuffle block size doesn't do anything for - # map-only Datasets. + # Setting the shuffle block size prints a warning and actually resets + # target_max_block_size ctx.target_shuffle_max_block_size = ctx.target_max_block_size / 2 + num_blocks_expected *= 2 # Test read. ds = ray.data.range(100_000, override_num_blocks=1).materialize() @@ -109,11 +110,14 @@ def test_map(shutdown_only, restore_data_context): .map(lambda row: row) .materialize() ) + + # NOTE: `initial_num_blocks` is based on estimate, hence we bake in 50% margin assert ( num_blocks_expected * 2 <= ds._plan.initial_num_blocks() - <= num_blocks_expected * 2 + 1 + <= num_blocks_expected * 3 ) + last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, num_blocks_expected * 2, @@ -154,8 +158,8 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): shuffle_fn, kwargs, fusion_supported = shuffle_op - ctx.target_shuffle_max_block_size = 10_000 * 8 - num_blocks_expected = mem_size // ctx.target_shuffle_max_block_size + ctx.target_max_block_size = 10_000 * 8 + num_blocks_expected = mem_size // ctx.target_max_block_size last_snapshot = get_initial_core_execution_metrics_snapshot() ds = shuffle_fn(ray.data.range(N), **kwargs).materialize() @@ -164,11 +168,17 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): <= ds._plan.initial_num_blocks() <= num_blocks_expected * 1.5 ) + + def _estimate_intermediate_blocks(fusion_supported: bool, num_blocks_expected: int): + return num_blocks_expected**2 + num_blocks_expected * ( + 2 if fusion_supported else 4 + ) + # map * reduce intermediate blocks + 1 metadata ref per map/reduce task. # If fusion is not supported, the un-fused map stage produces 1 data and 1 # metadata per task. - num_intermediate_blocks = num_blocks_expected**2 + num_blocks_expected * ( - 2 if fusion_supported else 4 + num_intermediate_blocks = _estimate_intermediate_blocks( + fusion_supported, num_blocks_expected ) print(f">>> Asserting {num_intermediate_blocks} blocks are in plasma") @@ -191,8 +201,8 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): <= ds._plan.initial_num_blocks() <= num_blocks_expected * 1.5 ) - num_intermediate_blocks = num_blocks_expected**2 + num_blocks_expected * ( - 2 if fusion_supported else 4 + num_intermediate_blocks = _estimate_intermediate_blocks( + fusion_supported, num_blocks_expected ) last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, @@ -201,9 +211,9 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): num_intermediate_blocks, ) - ctx.target_shuffle_max_block_size //= 2 - num_blocks_expected = mem_size // ctx.target_shuffle_max_block_size - block_size_expected = ctx.target_shuffle_max_block_size + ctx.target_max_block_size //= 2 + num_blocks_expected = mem_size // ctx.target_max_block_size + block_size_expected = ctx.target_max_block_size ds = shuffle_fn(ray.data.range(N), **kwargs).materialize() assert ( @@ -211,8 +221,8 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): <= ds._plan.initial_num_blocks() <= num_blocks_expected * 1.5 ) - num_intermediate_blocks = num_blocks_expected**2 + num_blocks_expected * ( - 2 if fusion_supported else 4 + num_intermediate_blocks = _estimate_intermediate_blocks( + fusion_supported, num_blocks_expected ) last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, @@ -228,8 +238,8 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): <= ds._plan.initial_num_blocks() <= num_blocks_expected * 1.5 ) - num_intermediate_blocks = num_blocks_expected**2 + num_blocks_expected * ( - 2 if fusion_supported else 4 + num_intermediate_blocks = _estimate_intermediate_blocks( + fusion_supported, num_blocks_expected ) last_snapshot = assert_blocks_expected_in_plasma( last_snapshot, @@ -238,7 +248,9 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): # Setting target max block size does not affect map ops when there is a # shuffle downstream. - ctx.target_max_block_size = ctx.target_shuffle_max_block_size * 2 + ctx.target_max_block_size = ctx.target_max_block_size * 2 + num_blocks_expected //= 2 + ds = shuffle_fn(ray.data.range(N).map(lambda x: x), **kwargs).materialize() assert ( num_blocks_expected @@ -246,6 +258,10 @@ def test_shuffle(shutdown_only, restore_data_context, shuffle_op): <= num_blocks_expected * 1.5 ) + num_intermediate_blocks = _estimate_intermediate_blocks( + fusion_supported, num_blocks_expected + ) + assert_blocks_expected_in_plasma( last_snapshot, num_intermediate_blocks, diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 980b3a7b56b6..e01860c771ed 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -458,7 +458,7 @@ def test_random_shuffle_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op.input_dependencies[0], MapOperator) assert ( physical_op.actual_target_max_block_size - == DataContext.get_current().target_shuffle_max_block_size + == DataContext.get_current().target_max_block_size ) # Check that the linked logical operator is the same the input op. @@ -495,7 +495,7 @@ def test_repartition_operator(ray_start_regular_shared_2_cpus, shuffle): if shuffle: assert ( physical_op.actual_target_max_block_size - == DataContext.get_current().target_shuffle_max_block_size + == DataContext.get_current().target_max_block_size ) else: assert ( @@ -604,7 +604,7 @@ def test_sort_operator( assert isinstance(physical_op.input_dependencies[0], MapOperator) assert ( physical_op.actual_target_max_block_size - == DataContext.get_current().target_shuffle_max_block_size + == DataContext.get_current().target_max_block_size ) @@ -744,7 +744,7 @@ def test_aggregate_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op.input_dependencies[0], MapOperator) assert ( physical_op.actual_target_max_block_size - == DataContext.get_current().target_shuffle_max_block_size + == DataContext.get_current().target_max_block_size ) # Check that the linked logical operator is the same the input op. diff --git a/python/ray/data/tests/test_groupby_e2e.py b/python/ray/data/tests/test_groupby_e2e.py index 06559e979444..bd0017125e6f 100644 --- a/python/ray/data/tests/test_groupby_e2e.py +++ b/python/ray/data/tests/test_groupby_e2e.py @@ -101,7 +101,10 @@ def test_map_groups_with_gpus( ray.init(num_gpus=1) rows = ( - ray.data.range(1).groupby("id").map_groups(lambda x: x, num_gpus=1).take_all() + ray.data.range(1, override_num_blocks=1) + .groupby("id") + .map_groups(lambda x: x, num_gpus=1) + .take_all() ) assert rows == [{"id": 0}] From fb12942f93fa954f60e541bb6303c33833b7b002 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Tue, 5 Aug 2025 12:53:36 -0700 Subject: [PATCH 0503/1566] Set VLLM_DISABLE_COMPILE_CACHE=1 to work around compile cache issue (#55209) Test is failing/flakey with the following signature. The issue should be fixed in PyTorch 2.8. For now, trying a workaround. ``` File "/home/ray/anaconda3/lib/python3.11/site-packages/vllm/compilation/compiler_interface.py", line 440, in compile raise RuntimeError( torch._dynamo.exc.BackendCompilerFailed: backend='' raised: RuntimeError: vLLM failed to compile the model. The most likely reason for this is that a previous compilation failed, leading to a corrupted compilation artifact. We recommend trying to remove ~/.cache/vllm/torch_compile_cache and try again to see the real issue. ``` --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- release/llm_tests/batch/test_batch_vllm.py | 55 +++++++++++++--------- 1 file changed, 33 insertions(+), 22 deletions(-) diff --git a/release/llm_tests/batch/test_batch_vllm.py b/release/llm_tests/batch/test_batch_vllm.py index be93f1dfb9ab..231153dedeb1 100644 --- a/release/llm_tests/batch/test_batch_vllm.py +++ b/release/llm_tests/batch/test_batch_vllm.py @@ -1,7 +1,6 @@ -import shutil import sys -import os import logging +import time import pytest @@ -11,6 +10,28 @@ logger = logging.getLogger(__name__) +@pytest.fixture(autouse=True) +def disable_vllm_compile_cache(monkeypatch): + """Automatically disable vLLM compile cache for all tests. + + Avoids AssertionError due to torch compile cache corruption caused by + running multiple engines on the same node. + See: https://github.com/vllm-project/vllm/issues/18851, fix expected with + PyTorch 2.8.0 + """ + monkeypatch.setenv("VLLM_DISABLE_COMPILE_CACHE", "1") + + +@pytest.fixture(autouse=True) +def add_buffer_time_between_tests(): + """Add buffer time after each test to avoid resource conflicts, which cause + flakiness. + """ + yield # Test runs here + + time.sleep(10) + + def test_chat_template_with_vllm(): """Test vLLM with explicit chat template.""" @@ -25,6 +46,7 @@ def test_chat_template_with_vllm(): detokenize=True, batch_size=16, concurrency=1, + runtime_env={"env_vars": {"VLLM_DISABLE_COMPILE_CACHE": "1"}}, ) processor = build_llm_processor( @@ -84,6 +106,7 @@ def test_vllm_llama_parallel(tp_size, pp_size, concurrency): batch_size=16, accelerator_type=None, concurrency=concurrency, + runtime_env={"env_vars": {"VLLM_DISABLE_COMPILE_CACHE": "1"}}, ) processor = build_llm_processor( @@ -136,6 +159,7 @@ def test_vllm_llama_lora(): detokenize=True, batch_size=16, concurrency=1, + runtime_env={"env_vars": {"VLLM_DISABLE_COMPILE_CACHE": "1"}}, ) processor = build_llm_processor( @@ -167,18 +191,6 @@ def test_vllm_llama_lora(): assert all("resp" in out for out in outs) -@ray.remote(num_gpus=1) -def delete_torch_compile_cache_on_worker(): - """Delete torch compile cache on worker. - Avoids AssertionError due to torch compile cache corruption - TODO(seiji): check if this is still needed after https://github.com/vllm-project/vllm/issues/18851 is fixed - """ - torch_compile_cache_path = os.path.expanduser("~/.cache/vllm/torch_compile_cache") - if os.path.exists(torch_compile_cache_path): - shutil.rmtree(torch_compile_cache_path) - logger.warning(f"Deleted torch compile cache at {torch_compile_cache_path}") - - @pytest.mark.parametrize( "model_source,tp_size,pp_size,concurrency,sample_size", [ @@ -189,17 +201,14 @@ def delete_torch_compile_cache_on_worker(): ], ) def test_vllm_vision_language_models( - model_source, tp_size, pp_size, concurrency, sample_size + model_source, + tp_size, + pp_size, + concurrency, + sample_size, ): """Test vLLM with vision language models using different configurations.""" - # todo(seiji): Commenting out due to https://github.com/ray-project/ray/issues/53824 - # Need to follow up once torch_compile_cache issue is fixed or PyTorch 2.8 - if model_source == "mistral-community/pixtral-12b": - pytest.skip("Skipping test due to torch_compile_cache issue") - - ray.get(delete_torch_compile_cache_on_worker.remote()) - # vLLM v1 does not support decoupled tokenizer, # but since the tokenizer is in a separate process, # the overhead should be moderated. @@ -221,6 +230,7 @@ def test_vllm_vision_language_models( batch_size=16, concurrency=concurrency, has_image=True, + runtime_env={"env_vars": {"VLLM_DISABLE_COMPILE_CACHE": "1"}}, ) processor = build_llm_processor( @@ -281,6 +291,7 @@ def test_async_udf_queue_capped(concurrency): batch_size=4, accelerator_type=None, concurrency=concurrency, + runtime_env={"env_vars": {"VLLM_DISABLE_COMPILE_CACHE": "1"}}, ) processor = build_llm_processor( From 940106e5bc404ac8812de1269be470b2078da9e5 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 5 Aug 2025 16:31:46 -0500 Subject: [PATCH 0504/1566] [core] Move `client_connection` to `ipc/` subpackage (#55252) Isolates the package and makes it more clear what it is used for. Also separated it from the `network_util` (unrelated). In follow-up PRs, I will also split out the Raylet IPC client and move it here. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 11 ++++------- src/ray/common/network_util.cc | 3 ++- src/ray/common/test/BUILD.bazel | 13 ------------- src/ray/ipc/BUILD.bazel | 18 ++++++++++++++++++ src/ray/{common => ipc}/client_connection.cc | 2 +- src/ray/{common => ipc}/client_connection.h | 0 src/ray/ipc/test/BUILD.bazel | 15 +++++++++++++++ .../test/client_connection_test.cc | 2 +- src/ray/object_manager/plasma/BUILD.bazel | 4 ++-- src/ray/object_manager/plasma/connection.h | 2 +- src/ray/object_manager/plasma/store.cc | 2 +- src/ray/raylet/BUILD.bazel | 5 +++-- src/ray/raylet/node_manager.cc | 2 +- src/ray/raylet/node_manager.h | 2 +- src/ray/raylet/raylet.cc | 2 +- src/ray/raylet/worker.h | 2 +- src/ray/raylet/worker_pool.h | 2 +- src/ray/raylet_client/BUILD.bazel | 2 +- src/ray/raylet_client/raylet_client.cc | 2 +- src/ray/raylet_client/raylet_client.h | 2 +- src/ray/raylet_client/raylet_connection.h | 16 +++++++--------- src/ray/rpc/BUILD.bazel | 2 +- 22 files changed, 64 insertions(+), 47 deletions(-) create mode 100644 src/ray/ipc/BUILD.bazel rename src/ray/{common => ipc}/client_connection.cc (99%) rename src/ray/{common => ipc}/client_connection.h (100%) create mode 100644 src/ray/ipc/test/BUILD.bazel rename src/ray/{common => ipc}/test/client_connection_test.cc (99%) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 40d3a968a414..09436db9e2f8 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -15,8 +15,9 @@ ray_cc_library( srcs = ["test_util.cc"], hdrs = ["test_util.h"], deps = [ + ":asio", ":id", - ":network", + ":network_util", ":ray_object", "//src/ray/protobuf:common_cc_proto", "//src/ray/util", @@ -108,20 +109,16 @@ ray_cc_library( ) ray_cc_library( - name = "network", + name = "network_util", srcs = [ - "client_connection.cc", "network_util.cc", ], hdrs = [ - "client_connection.h", "network_util.h", ], deps = [ ":asio", - ":id", - ":status", - "//src/ray/flatbuffers:node_manager_generated", + "@boost//:asio", ], ) diff --git a/src/ray/common/network_util.cc b/src/ray/common/network_util.cc index 90038a2c1694..4c943b07b038 100644 --- a/src/ray/common/network_util.cc +++ b/src/ray/common/network_util.cc @@ -14,8 +14,9 @@ #include "ray/common/network_util.h" +#include + #include "ray/common/asio/instrumented_io_context.h" -#include "ray/util/logging.h" using boost::asio::ip::tcp; diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/test/BUILD.bazel index 0353f9dc7cf0..4953b1d3d6be 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/test/BUILD.bazel @@ -146,19 +146,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "client_connection_test", - size = "small", - srcs = ["client_connection_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:network", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_library( name = "testing", testonly = True, diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/ipc/BUILD.bazel new file mode 100644 index 000000000000..cf2f4ef78e9b --- /dev/null +++ b/src/ray/ipc/BUILD.bazel @@ -0,0 +1,18 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "client_connection", + srcs = [ + "client_connection.cc", + ], + hdrs = [ + "client_connection.h", + ], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:event_stats", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/flatbuffers:node_manager_generated", + ], +) diff --git a/src/ray/common/client_connection.cc b/src/ray/ipc/client_connection.cc similarity index 99% rename from src/ray/common/client_connection.cc rename to src/ray/ipc/client_connection.cc index 46860bf3b60e..87be9cb3e0af 100644 --- a/src/ray/common/client_connection.cc +++ b/src/ray/ipc/client_connection.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/common/client_connection.h" +#include "ray/ipc/client_connection.h" #include #include diff --git a/src/ray/common/client_connection.h b/src/ray/ipc/client_connection.h similarity index 100% rename from src/ray/common/client_connection.h rename to src/ray/ipc/client_connection.h diff --git a/src/ray/ipc/test/BUILD.bazel b/src/ray/ipc/test/BUILD.bazel new file mode 100644 index 000000000000..c6a7c9b76078 --- /dev/null +++ b/src/ray/ipc/test/BUILD.bazel @@ -0,0 +1,15 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "client_connection_test", + size = "small", + srcs = ["client_connection_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/ipc:client_connection", + "@boost//:asio", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/test/client_connection_test.cc b/src/ray/ipc/test/client_connection_test.cc similarity index 99% rename from src/ray/common/test/client_connection_test.cc rename to src/ray/ipc/test/client_connection_test.cc index d705064d89b8..a287518daf73 100644 --- a/src/ray/common/test/client_connection_test.cc +++ b/src/ray/ipc/test/client_connection_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/common/client_connection.h" +#include "ray/ipc/client_connection.h" #include #include diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 5cb94f279a1d..3fc12827ebc8 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -103,9 +103,9 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:file_system_monitor", "//src/ray/common:id", - "//src/ray/common:network", "//src/ray/common:ray_config", "//src/ray/common:status", + "//src/ray/ipc:client_connection", "//src/ray/object_manager:object_manager_common", "//src/ray/stats:stats_metric", "//src/ray/util", @@ -280,8 +280,8 @@ ray_cc_library( ":object_manager_plasma_common", ":plasma_generated", "//src/ray/common:id", - "//src/ray/common:network", "//src/ray/common:status", + "//src/ray/ipc:client_connection", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:common_cc_proto", "//src/ray/util:compat", diff --git a/src/ray/object_manager/plasma/connection.h b/src/ray/object_manager/plasma/connection.h index 296e8778ce84..024625a1db8c 100644 --- a/src/ray/object_manager/plasma/connection.h +++ b/src/ray/object_manager/plasma/connection.h @@ -20,9 +20,9 @@ #include #include "absl/container/flat_hash_set.h" -#include "ray/common/client_connection.h" #include "ray/common/id.h" #include "ray/common/status.h" +#include "ray/ipc/client_connection.h" #include "ray/util/compat.h" namespace plasma { diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index c74b707e0e84..c0f252210f79 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -43,7 +43,7 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/client_connection.h" +#include "ray/ipc/client_connection.h" #include "ray/object_manager/plasma/common.h" #include "ray/object_manager/plasma/get_request_queue.h" #include "ray/object_manager/plasma/malloc.h" diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 6184f8ff9393..857010c2ba17 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -87,9 +87,9 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:network", "//src/ray/common:task_common", "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/ipc:client_connection", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/rpc:core_worker_client", "//src/ray/util:process", @@ -108,13 +108,14 @@ ray_cc_library( ":runtime_env_agent_client", ":worker", "//src/ray/common:constants", - "//src/ray/common:network", + "//src/ray/common:network_util", "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/core_worker:core_worker_common", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/ipc:client_connection", "@boost//:system", "@com_google_absl//absl/strings", ], diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index a523a2351d5e..3c465774fe3e 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -31,7 +31,6 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/buffer.h" -#include "ray/common/client_connection.h" #include "ray/common/common_protocol.h" #include "ray/common/constants.h" #include "ray/common/memory_monitor.h" @@ -41,6 +40,7 @@ #include "ray/common/task/task_spec.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/gcs/pb_util.h" +#include "ray/ipc/client_connection.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_task_manager.h" diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 9464ba0bce0d..3b682b804fde 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -23,7 +23,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_spec.h" -#include "ray/common/client_connection.h" #include "ray/common/id.h" #include "ray/common/memory_monitor.h" #include "ray/common/ray_object.h" @@ -32,6 +31,7 @@ #include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/core_worker/experimental_mutable_object_provider.h" +#include "ray/ipc/client_connection.h" #include "ray/object_manager/object_directory.h" #include "ray/object_manager/object_manager.h" #include "ray/object_manager/plasma/client.h" diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index fffb2d5a0227..743b52df3de9 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -22,10 +22,10 @@ #include #include -#include "ray/common/client_connection.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/status.h" #include "ray/core_worker/experimental_mutable_object_provider.h" +#include "ray/ipc/client_connection.h" #include "ray/object_manager/object_manager.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/util/util.h" diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 3d208f404434..c3e409f5a988 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -22,12 +22,12 @@ #include "absl/time/clock.h" #include "absl/time/time.h" #include "gtest/gtest_prod.h" -#include "ray/common/client_connection.h" #include "ray/common/id.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/task/task.h" #include "ray/common/task/task_common.h" +#include "ray/ipc/client_connection.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/util/process.h" diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 3b394e3e4b88..08b14a94feb9 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -34,11 +34,11 @@ #include "absl/time/time.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" -#include "ray/common/client_connection.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/task/task.h" #include "ray/common/task/task_common.h" #include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/ipc/client_connection.h" #include "ray/raylet/runtime_env_agent_client.h" #include "ray/raylet/worker.h" diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index cba801af4382..71bdc45650e8 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -11,7 +11,7 @@ ray_cc_library( hdrs = ["raylet_connection.h"], deps = [ "//src/ray/common:asio", - "//src/ray/common:network", + "//src/ray/ipc:client_connection", ], ) diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index eeac480517a7..528fbc27795b 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -21,11 +21,11 @@ #include #include "absl/synchronization/notification.h" -#include "ray/common/client_connection.h" #include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" #include "ray/flatbuffers/node_manager_generated.h" +#include "ray/ipc/client_connection.h" #include "ray/util/logging.h" using MessageType = ray::protocol::MessageType; diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 97f3c5607a3f..8b41f5f48eda 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -24,10 +24,10 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/buffer.h" #include "ray/common/bundle_spec.h" -#include "ray/common/client_connection.h" #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/common/task/task_spec.h" +#include "ray/ipc/client_connection.h" #include "ray/raylet_client/raylet_connection.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/util/process.h" diff --git a/src/ray/raylet_client/raylet_connection.h b/src/ray/raylet_client/raylet_connection.h index 2d66193df038..f62bb29c60b0 100644 --- a/src/ray/raylet_client/raylet_connection.h +++ b/src/ray/raylet_client/raylet_connection.h @@ -21,7 +21,7 @@ #include #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/client_connection.h" +#include "ray/ipc/client_connection.h" namespace ray::raylet { @@ -31,23 +31,21 @@ class RayletConnection { public: /// Connect to the raylet. /// + /// \param io_service The IO service used for interacting with the socket. /// \param raylet_socket The name of the socket to use to connect to the raylet. - /// \param worker_id A unique ID to represent the worker. - /// \param is_worker Whether this client is a worker. If it is a worker, an - /// additional message will be sent to register as one. - /// \param job_id The ID of the driver. This is non-nil if the client is a - /// driver. - /// \return The connection information. + /// \param num_retries The number of times to retry connecting before giving up. + /// \param timeout The time to wait between retries. + /// \return The connection. RayletConnection(instrumented_io_context &io_service, const std::string &raylet_socket, int num_retries, int64_t timeout); - /// Send request to raylet without waiting for response. + /// Send a request to raylet asynchronously. ray::Status WriteMessage(ray::protocol::MessageType type, flatbuffers::FlatBufferBuilder *fbb = nullptr); - /// Send request to raylet and blockingly wait for response. + /// Send a request to raylet and synchronously wait for the response. ray::Status AtomicRequestReply(ray::protocol::MessageType request_type, ray::protocol::MessageType reply_type, std::vector *reply_message, diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 07588444ffe2..318c7bbd3789 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -140,7 +140,7 @@ ray_cc_library( "//src/ray/protobuf:node_manager_cc_grpc", ] + [ # TODO(eoakes): these three come from raylet_client.h, remove after breaking the circular dependency. - "//src/ray/common:network", + "//src/ray/ipc:client_connection", "//src/ray/common:ray_object", "//src/ray/common:task_common", ], From 4a334a2c0383ce2f1169fcaf454eef53d35f5ff4 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Tue, 5 Aug 2025 14:58:43 -0700 Subject: [PATCH 0505/1566] [train] add LightGBMTrainer user guide (#54492) This PR adds a comprehensive guide for distributed LightGBM training with Ray Train. The guide follows the same structure as our other framework-specific guides, specifically the XGBoost guide introduced in https://github.com/ray-project/ray/pull/52355. The new user guide can be viewed [here](https://anyscale-ray--54492.com.readthedocs.build/en/54492/train/getting-started-lightgbm.html). ## Changes 1. Added `doc/source/train/getting-started-lightgbm.rst` and `doc/source/train/doc_code/lightgbm_quickstart.py` as the new user guide material. 2. Removed legacy `doc/source/train/examples/xgboost/distributed-xgboost-lightgbm.ipynb` XGBoost/LightGBM notebook. 3. Fixed broken references. --------- Signed-off-by: Matthew Deng Signed-off-by: matthewdeng Signed-off-by: matthewdeng Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/cluster/vms/examples/ml-example.md | 4 +- doc/source/ray-overview/use-cases.rst | 2 +- doc/source/train/api/api.rst | 1 + .../train/doc_code/lightgbm_quickstart.py | 119 ++ doc/source/train/examples/xgboost/BUILD.bazel | 19 - .../distributed-xgboost-lightgbm.ipynb | 1016 ----------------- doc/source/train/getting-started-lightgbm.rst | 373 ++++++ doc/source/train/more-frameworks.rst | 8 +- doc/source/tune/examples/tune-xgboost.ipynb | 4 +- python/ray/train/lightgbm/lightgbm_trainer.py | 5 +- python/ray/train/lightgbm/v2.py | 2 +- .../ray/train/v2/lightgbm/lightgbm_trainer.py | 2 +- .../train/v2/tests/test_lightgbm_trainer.py | 2 +- 13 files changed, 509 insertions(+), 1048 deletions(-) create mode 100644 doc/source/train/doc_code/lightgbm_quickstart.py delete mode 100644 doc/source/train/examples/xgboost/BUILD.bazel delete mode 100644 doc/source/train/examples/xgboost/distributed-xgboost-lightgbm.ipynb create mode 100644 doc/source/train/getting-started-lightgbm.rst diff --git a/doc/source/cluster/vms/examples/ml-example.md b/doc/source/cluster/vms/examples/ml-example.md index d683cc1b9ab8..725f1de1ca05 100644 --- a/doc/source/cluster/vms/examples/ml-example.md +++ b/doc/source/cluster/vms/examples/ml-example.md @@ -12,7 +12,7 @@ In this guide, we show you how to run a sample Ray machine learning workload on AWS. The similar steps can be used to deploy on GCP or Azure as well. We will run Ray's {ref}`XGBoost training benchmark ` with a 100 gigabyte training set. -To learn more about using Ray's XGBoostTrainer, check out {ref}`the XGBoostTrainer documentation `. +To learn more about using Ray's XGBoostTrainer, check out {ref}`the XGBoostTrainer documentation `. ## VM cluster setup @@ -119,7 +119,7 @@ you might not match {ref}`the numbers quoted in the benchmark docs ` for details. +Refer to the {ref}`XGBoostTrainer documentation ` for details. ```{admonition} Scale-down If autoscaling is enabled, Ray worker nodes will scale down after the specified idle timeout. diff --git a/doc/source/ray-overview/use-cases.rst b/doc/source/ray-overview/use-cases.rst index 69add0c9ef34..9a05bda6a96b 100644 --- a/doc/source/ray-overview/use-cases.rst +++ b/doc/source/ray-overview/use-cases.rst @@ -171,7 +171,7 @@ The following highlights examples utilizing Ray AI libraries to implement end-to - :doc:`[Example] Text classification with Ray ` - :doc:`[Example] Object detection with Ray ` -- :doc:`[Example] Machine learning on tabular data ` +- :doc:`[Example] Machine learning on tabular data ` Large Scale Workload Orchestration ---------------------------------- diff --git a/doc/source/train/api/api.rst b/doc/source/train/api/api.rst index 468d88c2e2c0..41e10d7c4a65 100644 --- a/doc/source/train/api/api.rst +++ b/doc/source/train/api/api.rst @@ -104,6 +104,7 @@ LightGBM :toctree: doc/ ~train.lightgbm.LightGBMTrainer + ~train.lightgbm.get_network_params ~train.lightgbm.RayTrainReportCallback diff --git a/doc/source/train/doc_code/lightgbm_quickstart.py b/doc/source/train/doc_code/lightgbm_quickstart.py new file mode 100644 index 000000000000..406990a29205 --- /dev/null +++ b/doc/source/train/doc_code/lightgbm_quickstart.py @@ -0,0 +1,119 @@ +# flake8: noqa +# isort: skip_file + +# __lightgbm_start__ +import pandas as pd +import lightgbm as lgb + +# 1. Load your data as a `lightgbm.Dataset`. +train_df = pd.read_csv("s3://ray-example-data/iris/train/1.csv") +eval_df = pd.read_csv("s3://ray-example-data/iris/val/1.csv") + +train_X = train_df.drop("target", axis=1) +train_y = train_df["target"] +eval_X = eval_df.drop("target", axis=1) +eval_y = eval_df["target"] + +train_set = lgb.Dataset(train_X, label=train_y) +eval_set = lgb.Dataset(eval_X, label=eval_y) + +# 2. Define your LightGBM model training parameters. +params = { + "objective": "multiclass", + "num_class": 3, + "metric": ["multi_logloss", "multi_error"], + "verbosity": -1, + "boosting_type": "gbdt", + "num_leaves": 31, + "learning_rate": 0.05, + "feature_fraction": 0.9, + "bagging_fraction": 0.8, + "bagging_freq": 5, +} + +# 3. Do non-distributed training. +model = lgb.train( + params, + train_set, + valid_sets=[eval_set], + valid_names=["eval"], + num_boost_round=100, +) +# __lightgbm_end__ + + +# __lightgbm_ray_start__ +import lightgbm as lgb + +import ray.train +from ray.train.lightgbm import LightGBMTrainer, RayTrainReportCallback + +# 1. Load your data as a Ray Data Dataset. +train_dataset = ray.data.read_csv("s3://anonymous@ray-example-data/iris/train") +eval_dataset = ray.data.read_csv("s3://anonymous@ray-example-data/iris/val") + + +def train_func(): + # 2. Load your data shard as a `lightgbm.Dataset`. + + # Get dataset shards for this worker + train_shard = ray.train.get_dataset_shard("train") + eval_shard = ray.train.get_dataset_shard("eval") + + # Convert shards to pandas DataFrames + train_df = train_shard.materialize().to_pandas() + eval_df = eval_shard.materialize().to_pandas() + + train_X = train_df.drop("target", axis=1) + train_y = train_df["target"] + eval_X = eval_df.drop("target", axis=1) + eval_y = eval_df["target"] + + train_set = lgb.Dataset(train_X, label=train_y) + eval_set = lgb.Dataset(eval_X, label=eval_y) + + # 3. Define your LightGBM model training parameters. + params = { + "objective": "multiclass", + "num_class": 3, + "metric": ["multi_logloss", "multi_error"], + "verbosity": -1, + "boosting_type": "gbdt", + "num_leaves": 31, + "learning_rate": 0.05, + "feature_fraction": 0.9, + "bagging_fraction": 0.8, + "bagging_freq": 5, + # Adding the line below is the only change needed + # for your `lgb.train` call! + **ray.train.lightgbm.get_network_params(), + } + + # 4. Do distributed data-parallel training. + # Ray Train sets up the necessary coordinator processes and + # environment variables for your workers to communicate with each other. + model = lgb.train( + params, + train_set, + valid_sets=[eval_set], + valid_names=["eval"], + num_boost_round=100, + # Optional: Use the `RayTrainReportCallback` to save and report checkpoints. + callbacks=[RayTrainReportCallback()], + ) + + +# 5. Configure scaling and resource requirements. +scaling_config = ray.train.ScalingConfig(num_workers=2, resources_per_worker={"CPU": 2}) + +# 6. Launch distributed training job. +trainer = LightGBMTrainer( + train_func, + scaling_config=scaling_config, + datasets={"train": train_dataset, "eval": eval_dataset}, +) +result = trainer.fit() + +# 7. Load the trained model. +model = RayTrainReportCallback.get_model(result.checkpoint) +# __lightgbm_ray_end__ diff --git a/doc/source/train/examples/xgboost/BUILD.bazel b/doc/source/train/examples/xgboost/BUILD.bazel deleted file mode 100644 index fb5399377074..000000000000 --- a/doc/source/train/examples/xgboost/BUILD.bazel +++ /dev/null @@ -1,19 +0,0 @@ -load("//bazel:python.bzl", "py_test_run_all_notebooks") - -filegroup( - name = "xgboost_examples", - srcs = glob(["*.ipynb"]), - visibility = ["//doc:__subpackages__"], -) - -py_test_run_all_notebooks( - size = "medium", - include = ["*.ipynb"], - data = ["//doc/source/train/examples/xgboost:xgboost_examples"], - exclude = [], - tags = [ - "exclusive", - "ray_air", - "team:ml", - ], -) diff --git a/doc/source/train/examples/xgboost/distributed-xgboost-lightgbm.ipynb b/doc/source/train/examples/xgboost/distributed-xgboost-lightgbm.ipynb deleted file mode 100644 index 541efe174d07..000000000000 --- a/doc/source/train/examples/xgboost/distributed-xgboost-lightgbm.ipynb +++ /dev/null @@ -1,1016 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "612b6a05", - "metadata": {}, - "source": [ - "# Distributed Training and Inference with XGBoost and LightGBM on Ray\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    \n", - "\n", - "(train-gbdt-guide)=\n", - "\n", - "> **Note**: The API shown in this notebook is now deprecated. Please refer to the updated API in [Getting Started with Distributed Training using XGBoost](../../getting-started-xgboost.rst) instead.\n", - "\n", - "\n", - "In this tutorial, you'll discover how to scale out data preprocessing, training, and inference with XGBoost and LightGBM on Ray.\n", - "\n", - "To run this tutorial, we need to install the following dependencies:\n", - "\n", - "```bash\n", - "pip install -qU \"ray[data,train]\" xgboost lightgbm\n", - "```\n", - "\n", - "Then, we need some imports:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "5a2250e3", - "metadata": {}, - "outputs": [], - "source": [ - "from typing import Tuple\n", - "\n", - "import pandas as pd\n", - "import xgboost\n", - "\n", - "import ray\n", - "from ray.data import Dataset, Preprocessor\n", - "from ray.data.preprocessors import StandardScaler\n", - "from ray.train import Checkpoint, CheckpointConfig, Result, RunConfig, ScalingConfig\n", - "from ray.train.xgboost import XGBoostTrainer" - ] - }, - { - "cell_type": "markdown", - "id": "1ad88db8", - "metadata": {}, - "source": [ - "Next we define a function to load our train, validation, and test datasets." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "06b0f220", - "metadata": {}, - "outputs": [], - "source": [ - "def prepare_data() -> Tuple[Dataset, Dataset, Dataset]:\n", - " \"\"\"Load and split the dataset into train, validation, and test sets.\"\"\"\n", - " dataset = ray.data.read_csv(\"s3://anonymous@air-example-data/breast_cancer.csv\")\n", - " train_dataset, valid_dataset = dataset.train_test_split(test_size=0.3)\n", - " test_dataset = valid_dataset.drop_columns([\"target\"])\n", - " return train_dataset, valid_dataset, test_dataset" - ] - }, - { - "cell_type": "markdown", - "id": "56e67eb1", - "metadata": {}, - "source": [ - "## How to preprocess data for training?\n", - "\n", - "Preprocessing is a crucial step in preparing your data for training, especially for tabular datasets.\n", - "Ray Data offers built-in preprocessors that simplify common feature preprocessing tasks especially for tabular data.\n", - "These can be seamlessly integrated with Ray Datasets, allowing you to preprocess your data in a fault-tolerant and distributed way before training. Here's how:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "f12ca633", - "metadata": { - "tags": [ - "hide-output" - ] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:44,905\tINFO worker.py:1841 -- Started a local Ray instance.\n", - "2025-02-07 16:30:45,596\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:45,596\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadCSV] -> AggregateNumRows[AggregateNumRows]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cb0108523a6343808f4ce9e97a8c3f3f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e13678df08ec4db48487b329c5c0ca43", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadCSV->SplitBlocks(24) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "be4bf2621cde4711af9f18ccd59e2580", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- AggregateNumRows 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:46,367\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:46,367\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadCSV]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2f855e16cb0e4be1a754dfd7f38687ea", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f65b593533424f75887168b33b6cf3fa", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadCSV->SplitBlocks(24) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:46,729\tINFO dataset.py:2704 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-02-07 16:30:46,730\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:46,730\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "30c9df8a433641b8b70f2f8c58f8a455", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "94191b314c144d2d90f5607a11880e83", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- Aggregate 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0d36381e0aad4cce85126b25b1021ccf", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Sort Sample 2: 0%| | 0.00/1.00 [00:00= `num_to_keep` times since the last snapshot.\n", - "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", - "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", - "2025-02-07 16:32:34,105\tWARNING experiment_state.py:206 -- Experiment state snapshotting has been triggered multiple times in the last 5.0 seconds and may become a bottleneck. A snapshot is forced if `CheckpointConfig(num_to_keep)` is set, and a trial has checkpointed >= `num_to_keep` times since the last snapshot.\n", - "You may want to consider increasing the `CheckpointConfig(num_to_keep)` or decreasing the frequency of saving checkpoints.\n", - "You can suppress this warning by setting the environment variable TUNE_WARN_EXCESSIVE_EXPERIMENT_CHECKPOINT_SYNC_THRESHOLD_S to a smaller value than the current threshold (5.0). Set it to 0 to completely suppress this warning.\n", - "2025-02-07 16:32:35,137\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/Users/rdecal/ray_results/XGBoostTrainer_2025-02-07_16-32-31' in 0.0110s.\n", - "2025-02-07 16:32:35,140\tINFO tune.py:1041 -- Total run time: 3.36 seconds (3.34 seconds for the tuning loop).\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "== Status ==\n", - "Current time: 2025-02-07 16:32:35 (running for 00:00:03.35)\n", - "Using FIFO scheduling algorithm.\n", - "Logical resource usage: 3.0/12 CPUs, 0/0 GPUs\n", - "Result logdir: /tmp/ray/session_2025-02-07_16-30-44_167214_9631/artifacts/2025-02-07_16-32-31/XGBoostTrainer_2025-02-07_16-32-31/driver_artifacts\n", - "Number of trials: 1/1 (1 TERMINATED)\n", - "\n", - "\n" - ] - } - ], - "source": [ - "# Set up the XGBoost trainer with the specified configuration\n", - "trainer = XGBoostTrainer(\n", - " # see \"How to scale out training?\" for more details\n", - " scaling_config=ScalingConfig(\n", - " # Number of workers to use for data parallelism.\n", - " num_workers=2,\n", - " # Whether to use GPU acceleration. Set to True to schedule GPU workers.\n", - " use_gpu=False,\n", - " ),\n", - " label_column=\"target\",\n", - " num_boost_round=20,\n", - " # XGBoost specific params (see the `xgboost.train` API reference)\n", - " params={\n", - " \"objective\": \"binary:logistic\",\n", - " # uncomment this and set `use_gpu=True` to use GPU for training\n", - " # \"tree_method\": \"gpu_hist\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " },\n", - " datasets={\"train\": train_dataset, \"valid\": valid_dataset},\n", - " # store the preprocessor in the checkpoint for inference later\n", - " metadata={\"preprocessor_pkl\": preprocessor.serialize()},\n", - " run_config=run_config,\n", - ")\n", - "result = trainer.fit()" - ] - }, - { - "cell_type": "markdown", - "id": "7b18221b", - "metadata": {}, - "source": [ - "We can now view the model's metrics:\n", - "\n", - "```python\n", - "print(result.metrics)\n", - "```\n", - "\n", - "This should output something like:\n", - "\n", - "```\n", - "{'train-logloss': 0.00587594546605992, 'train-error': 0.0, 'valid-logloss': 0.06215000962556052, 'valid-error': 0.02941176470588235, 'time_this_iter_s': 0.0101318359375, 'should_checkpoint': True, 'done': True, 'training_iteration': 101, 'trial_id': '40fed_00000', 'date': '2023-07-06_18-33-25', 'timestamp': 1688693605, 'time_total_s': 4.901317834854126, 'pid': 40725, 'hostname': 'Balajis-MacBook-Pro-16', 'node_ip': '127.0.0.1', 'config': {}, 'time_since_restore': 4.901317834854126, 'iterations_since_restore': 101, 'experiment_tag': '0'}\n", - "```\n", - "\n", - ":::{tip} Once you enable checkpointing, you can follow [this guide](https://docs.ray.io/en/latest/train/user-guides/fault-tolerance.html#train-fault-tolerance) to enable fault tolerance. :::" - ] - }, - { - "cell_type": "markdown", - "id": "0838a4e6", - "metadata": {}, - "source": [ - "## LightGBM Example\n", - "\n", - "Modifying this example to use LightGBM instead of XGBoost is straightforward. You just have to change the trainer class and the model-specific parameters:\n", - "\n", - "```diff\n", - "- from ray.train.xgboost import XGBoostTrainer\n", - "+ from ray.train.lightgbm import LightGBMTrainer\n", - "\n", - "- trainer = XGBoostTrainer(\n", - "+ trainer = LightGBMTrainer(\n", - "\n", - "- \"objective\": \"binary:logistic\",\n", - "+ \"objective\": \"binary\",\n", - "- \"eval_metric\": [\"logloss\", \"error\"],\n", - "+ \"metric\": [\"binary_logloss\", \"binary_error\"],\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "b7816f41", - "metadata": {}, - "source": [ - "## Running inference with a trained tree-based model\n", - "\n", - "Now that we have a trained model, we can use it to make predictions on new data.\n", - "Let's define a utility function to perform streaming and distributed batch inference with our trained model." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "0e9c4293", - "metadata": {}, - "outputs": [], - "source": [ - "class Predict:\n", - " def __init__(self, checkpoint: Checkpoint):\n", - " self.model = XGBoostTrainer.get_model(checkpoint)\n", - " # extract the preprocessor from the checkpoint metadata\n", - " self.preprocessor = Preprocessor.deserialize(\n", - " checkpoint.get_metadata()[\"preprocessor_pkl\"]\n", - " )\n", - "\n", - " def __call__(self, batch: pd.DataFrame) -> pd.DataFrame:\n", - " preprocessed_batch = self.preprocessor.transform_batch(batch)\n", - " dmatrix = xgboost.DMatrix(preprocessed_batch)\n", - " return {\"predictions\": self.model.predict(dmatrix)}\n", - "\n", - "\n", - "def predict_xgboost(result: Result):\n", - " _, _, test_dataset = prepare_data()\n", - "\n", - " scores = test_dataset.map_batches(\n", - " Predict,\n", - " fn_constructor_args=[result.checkpoint],\n", - " concurrency=1,\n", - " batch_format=\"pandas\",\n", - " )\n", - "\n", - " predicted_labels = scores.map_batches(\n", - " lambda df: (df > 0.5).astype(int), batch_format=\"pandas\"\n", - " )\n", - " print(\"PREDICTED LABELS\")\n", - " predicted_labels.show()" - ] - }, - { - "cell_type": "markdown", - "id": "21e21449", - "metadata": {}, - "source": [ - "We can now get the predictions from the model on the test set:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "dc5222a0", - "metadata": { - "tags": [ - "hide-output" - ] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:52,878\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:52,878\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadCSV] -> AggregateNumRows[AggregateNumRows]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d5caf740a9e646668c356738e2907e35", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "df810cb770bd42ecb4cb94b99df90cef", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadCSV->SplitBlocks(24) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "7d734282408a4c19aff6b6fba7e75edc", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- AggregateNumRows 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:53,241\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:53,241\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadCSV]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e756589fc8064083ad72a4ac185ceac4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5b23c403389945b8a510d41d7e9b2f6c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- ReadCSV->SplitBlocks(24) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-07 16:30:53,559\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-02-07_16-30-44_167214_9631/logs/ray-data\n", - "2025-02-07 16:30:53,559\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> ActorPoolMapOperator[MapBatches(drop_columns)->MapBatches(Predict)] -> TaskPoolMapOperator[MapBatches()] -> LimitOperator[limit=20]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PREDICTED LABELS\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6e10e44782a64d629e1325becee70729", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c9aa1bee56bd4580b3809c406b041676", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches(drop_columns)->MapBatches(Predict) 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "01736a4584d94484bca10c62f917eb9a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- MapBatches() 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3456fd5c616149c09bbaccac9ec980d8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "- limit=20 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n" - ] - } - ], - "source": [ - "predict_xgboost(result)" - ] - }, - { - "cell_type": "markdown", - "id": "16c8ec6b", - "metadata": {}, - "source": [ - "This should output something like:\n", - "\n", - "```\n", - "PREDICTED LABELS\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "{'predictions': 0}\n", - "{'predictions': 1}\n", - "{'predictions': 1}\n", - "{'predictions': 0}\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "9f64200b", - "metadata": {}, - "source": [ - "## How to scale out training?\n", - "\n", - "One of the key advantages of using Ray Train is its ability to effortlessly scale your training workloads.\n", - "By adjusting the [`ScalingConfig`](https://docs.ray.io/en/latest/train/api/doc/ray.train.ScalingConfig.html#ray.train.ScalingConfig),\n", - "you can optimize resource utilization and reduce training time, making it ideal for large-scale machine learning tasks.\n", - "\n", - ":::{note}\n", - "Ray Train doesn’t modify or otherwise alter the working of the underlying XGBoost or LightGBM distributed training algorithms. Ray only provides orchestration, data ingest and fault tolerance. For more information on GBDT distributed training, refer to [XGBoost documentation](https://xgboost.readthedocs.io/en/stable/) and [LightGBM documentation](https://lightgbm.readthedocs.io/en/latest/).\n", - ":::\n", - "\n", - "### Multi-node CPU Example\n", - "\n", - "Setup: 4 nodes with 8 CPUs each.\n", - "\n", - "Use-case: To utilize all resources in multi-node training.\n", - "\n", - "```python\n", - "scaling_config = ScalingConfig(\n", - " num_workers=4,\n", - " resources_per_worker={\"CPU\": 8},\n", - ")\n", - "```\n", - "\n", - "### Single-node multi-GPU Example\n", - "\n", - "Setup: 1 node with 8 CPUs and 4 GPUs.\n", - "\n", - "Use-case: If you have a single node with multiple GPUs, you need to use\n", - "distributed training to leverage all GPUs.\n", - "\n", - "```python\n", - "scaling_config = ScalingConfig(\n", - " num_workers=4,\n", - " use_gpu=True,\n", - ")\n", - "```\n", - "\n", - "### Multi-node multi-GPU Example\n", - "\n", - "Setup: 4 nodes with 8 CPUs and 4 GPUs each.\n", - "\n", - "Use-case: If you have multiple nodes with multiple GPUs, you need to\n", - "schedule one worker per GPU.\n", - "\n", - "```python\n", - "scaling_config = ScalingConfig(\n", - " num_workers=16,\n", - " use_gpu=True,\n", - ")\n", - "```\n", - "\n", - "Note that you just have to adjust the number of workers. Ray handles everything else automatically.\n", - "\n", - "::: {warning}\n", - "Specifying a *shared storage location* (such as cloud storage or NFS) is *optional* for single-node clusters, but it is **required for multi-node clusters**. Using a local path will [raise an error](https://docs.ray.io/en/latest/train/user-guides/persistent-storage.html#multinode-local-storage-warning) during checkpointing for multi-node clusters.\n", - "\n", - "```python\n", - "trainer = XGBoostTrainer(\n", - " ..., run_config=ray.train.RunConfig(storage_path=\"s3://...\")\n", - ")\n", - "```\n", - ":::" - ] - }, - { - "cell_type": "markdown", - "id": "31cded96", - "metadata": {}, - "source": [ - "## How many remote actors should you use?\n", - "\n", - "This depends on your workload and your cluster setup. Generally there is no inherent benefit of running more than one remote actor per node for CPU-only training. This is because XGBoost can already leverage multiple CPUs with threading.\n", - "\n", - "However, in some cases, you should consider some starting more than one actor per node:\n", - "\n", - "For **multi GPU training**, each GPU should have a separate remote actor. Thus, if your machine has 24 CPUs and 4 GPUs, you want to start 4 remote actors with 6 CPUs and 1 GPU each\n", - "\n", - "In a **heterogeneous cluster**, you might want to find the [greatest common divisor](https://en.wikipedia.org/wiki/Greatest_common_divisor) for the number of CPUs. For example, for a cluster with three nodes of 4, 8, and 12 CPUs, respectively, you should set the number of actors to 6 and the CPUs per actor to 4.\n", - "\n", - "## How to use GPUs for training?\n", - "\n", - "Ray Train enables multi-GPU training for XGBoost and LightGBM. The core backends automatically leverage NCCL2 for cross-device communication. All you have to do is to start one actor per GPU and set GPU-compatible parameters. For example, XGBoost’s `tree_method` to `gpu_hist`. See XGBoost documentation for more details.\n", - "\n", - "For instance, if you have 2 machines with 4 GPUs each, you want to start 8 workers, and set `use_gpu=True`. There is usually no benefit in allocating less (for example, 0.5) or more than one GPU per actor.\n", - "\n", - "You should divide the CPUs evenly across actors per machine, so if your machines have 16 CPUs in addition to the 4 GPUs, each actor should have 4 CPUs to use.\n", - "\n", - "```python\n", - "trainer = XGBoostTrainer(\n", - " scaling_config=ScalingConfig(\n", - " # Number of workers to use for data parallelism.\n", - " num_workers=2,\n", - " # Whether to use GPU acceleration.\n", - " use_gpu=True,\n", - " ),\n", - " params={\n", - " # XGBoost specific params\n", - " \"tree_method\": \"gpu_hist\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " },\n", - " ...\n", - ")\n", - "```\n" - ] - }, - { - "cell_type": "markdown", - "id": "1f04989d", - "metadata": {}, - "source": [ - "## How to optimize XGBoost memory usage?\n", - "\n", - "XGBoost uses a compute-optimized data structure called `DMatrix` to store training data.\n", - "However, converting a dataset to a `DMatrix` involves storing a complete copy of the data\n", - "as well as intermediate conversions.\n", - "On a 64-bit system the format is 64-bit floats. Depending on the system and original dataset dtype, \n", - "this matrix can thus occupy more memory than the original dataset.\n", - "\n", - "The **peak memory usage** for CPU-based training is at least 3x the dataset size, assuming dtype `float32` on a 64-bit system, plus about **400,000 KiB** for other resources, like operating system requirements and storing of intermediate results.\n", - "\n", - "### Example\n", - "\n", - "- Machine type: AWS m5.xlarge (4 vCPUs, 16 GiB RAM)\n", - "- Usable RAM: ~15,350,000 KiB\n", - "- Dataset: 1,250,000 rows with 1024 features, dtype float32. Total size: 5,000,000 KiB\n", - "- XGBoost DMatrix size: ~10,000,000 KiB\n", - "\n", - "This dataset fits exactly on this node for training.\n", - "\n", - "Note that the DMatrix size might be lower on a 32 bit system.\n", - "\n", - "### GPUs\n", - "\n", - "Generally, the same memory requirements exist for GPU-based training. Additionally, the GPU must have enough memory to hold the dataset.\n", - "\n", - "In the preceding example, the GPU must have at least 10,000,000 KiB (about 9.6 GiB) memory. However, empirical data shows that using a `DeviceQuantileDMatrix` seems to result in more peak GPU memory usage, possibly for intermediate storage when loading data (about 10%).\n", - "\n", - "### Best practices\n", - "\n", - "In order to reduce peak memory usage, consider the following suggestions:\n", - "\n", - "- Store data as `float32` or less. You often don’t need more precision is often, and keeping data in a smaller format helps reduce peak memory usage for initial data loading.\n", - "- Pass the `dtype` when loading data from CSV. Otherwise, floating point values are loaded as `np.float64` per default, increasing peak memory usage by 33%." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ray", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/doc/source/train/getting-started-lightgbm.rst b/doc/source/train/getting-started-lightgbm.rst new file mode 100644 index 000000000000..e1932ec2ef6c --- /dev/null +++ b/doc/source/train/getting-started-lightgbm.rst @@ -0,0 +1,373 @@ +.. _train-lightgbm: + +Get Started with Distributed Training using LightGBM +==================================================== + +This tutorial walks through the process of converting an existing LightGBM script to use Ray Train. + +Learn how to: + +1. Configure a :ref:`training function ` to report metrics and save checkpoints. +2. Configure :ref:`scaling ` and CPU or GPU resource requirements for a training job. +3. Launch a distributed training job with a :class:`~ray.train.lightgbm.LightGBMTrainer`. + +Quickstart +---------- + +For reference, the final code will look something like this: + +.. testcode:: + :skipif: True + + import ray.train + from ray.train.lightgbm import LightGBMTrainer + + def train_func(): + # Your LightGBM training code here. + ... + + scaling_config = ray.train.ScalingConfig(num_workers=2, resources_per_worker={"CPU": 4}) + trainer = LightGBMTrainer(train_func, scaling_config=scaling_config) + result = trainer.fit() + +1. `train_func` is the Python code that executes on each distributed training worker. +2. :class:`~ray.train.ScalingConfig` defines the number of distributed training workers and whether to use GPUs. +3. :class:`~ray.train.lightgbm.LightGBMTrainer` launches the distributed training job. + +Compare a LightGBM training script with and without Ray Train. + +.. tab-set:: + + .. tab-item:: LightGBM + Ray Train + + .. literalinclude:: ./doc_code/lightgbm_quickstart.py + :language: python + :start-after: __lightgbm_ray_start__ + :end-before: __lightgbm_ray_end__ + + .. tab-item:: LightGBM + + .. literalinclude:: ./doc_code/lightgbm_quickstart.py + :language: python + :start-after: __lightgbm_start__ + :end-before: __lightgbm_end__ + +Set up a training function +-------------------------- + +First, update your training code to support distributed training. +Begin by wrapping your `native `_ +or `scikit-learn estimator `_ +LightGBM training code in a :ref:`training function `: + +.. testcode:: + :skipif: True + + def train_func(): + # Your native LightGBM training code here. + train_set = ... + lightgbm.train(...) + +Each distributed training worker executes this function. + +You can also specify the input argument for `train_func` as a dictionary via the Trainer's `train_loop_config`. For example: + +.. testcode:: python + :skipif: True + + def train_func(config): + label_column = config["label_column"] + num_boost_round = config["num_boost_round"] + ... + + config = {"label_column": "target", "num_boost_round": 100} + trainer = ray.train.lightgbm.LightGBMTrainer(train_func, train_loop_config=config, ...) + +.. warning:: + + Avoid passing large data objects through `train_loop_config` to reduce the + serialization and deserialization overhead. Instead, + initialize large objects (e.g. datasets, models) directly in `train_func`. + + .. code-block:: diff + + def load_dataset(): + # Return a large in-memory dataset + ... + + def load_model(): + # Return a large in-memory model instance + ... + + -config = {"data": load_dataset(), "model": load_model()} + + def train_func(config): + - data = config["data"] + - model = config["model"] + + + data = load_dataset() + + model = load_model() + ... + + trainer = ray.train.lightgbm.LightGBMTrainer(train_func, train_loop_config=config, ...) + + +Configure distributed training parameters +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To enable distributed LightGBM training, add network communication parameters to your training configuration using :func:`ray.train.lightgbm.get_network_params`. +This function automatically configures the necessary network settings for worker communication: + +.. code-block:: diff + + def train_func(): + ... + params = { + # Your LightGBM training parameters here + ... + + **ray.train.lightgbm.get_network_params(), + } + + model = lightgbm.train( + params, + ... + ) + ... + +Report metrics and save checkpoints +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To persist your checkpoints and monitor training progress, add a +:class:`ray.train.lightgbm.RayTrainReportCallback` utility callback to your Trainer: + + +.. testcode:: python + :skipif: True + + import lightgbm + from ray.train.lightgbm import RayTrainReportCallback + + def train_func(): + ... + bst = lightgbm.train( + ..., + callbacks=[ + RayTrainReportCallback( + metrics=["eval-multi_logloss"], frequency=1 + ) + ], + ) + ... + + +Reporting metrics and checkpoints to Ray Train enables :ref:`fault-tolerant training ` and the integration with Ray Tune. + +Loading data +------------ + +When running distributed LightGBM training, each worker should use a different shard of the dataset. + + +.. testcode:: python + :skipif: True + + def get_train_dataset(world_rank: int) -> lightgbm.Dataset: + # Define logic to get the Dataset shard for this worker rank + ... + + def get_eval_dataset(world_rank: int) -> lightgbm.Dataset: + # Define logic to get the Dataset for each worker + ... + + def train_func(): + rank = ray.train.get_world_rank() + train_set = get_train_dataset(rank) + eval_set = get_eval_dataset(rank) + ... + +A common way to do this is to pre-shard the dataset and then assign each worker a different set of files to read. + +Pre-sharding the dataset is not very flexible to changes in the number of workers, since some workers may be assigned more data than others. For more flexibility, Ray Data provides a solution for sharding the dataset at runtime. + +Use Ray Data to shard the dataset +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +:ref:`Ray Data ` is a distributed data processing library that allows you to easily shard and distribute your data across multiple workers. + +First, load your **entire** dataset as a Ray Data Dataset. +Reference the :ref:`Ray Data Quickstart ` for more details on how to load and preprocess data from different sources. + +.. testcode:: python + :skipif: True + + train_dataset = ray.data.read_parquet("s3://path/to/entire/train/dataset/dir") + eval_dataset = ray.data.read_parquet("s3://path/to/entire/eval/dataset/dir") + +In the training function, you can access the dataset shards for this worker using :meth:`ray.train.get_dataset_shard`. +Convert this into a native `lightgbm.Dataset `_. + + +.. testcode:: python + :skipif: True + + def get_dataset(dataset_name: str) -> lightgbm.Dataset: + shard = ray.train.get_dataset_shard(dataset_name) + df = shard.materialize().to_pandas() + X, y = df.drop("target", axis=1), df["target"] + return lightgbm.Dataset(X, label=y) + + def train_func(): + train_set = get_dataset("train") + eval_set = get_dataset("eval") + ... + + +Finally, pass the dataset to the Trainer. This will automatically shard the dataset across the workers. These keys must match the keys used when calling ``get_dataset_shard`` in the training function. + + +.. testcode:: python + :skipif: True + + trainer = LightGBMTrainer(..., datasets={"train": train_dataset, "eval": eval_dataset}) + trainer.fit() + + +For more details, see :ref:`data-ingest-torch`. + +Configure scale and GPUs +------------------------ + +Outside of your training function, create a :class:`~ray.train.ScalingConfig` object to configure: + +1. :class:`num_workers ` - The number of distributed training worker processes. +2. :class:`use_gpu ` - Whether each worker should use a GPU (or CPU). +3. :class:`resources_per_worker ` - The number of CPUs or GPUs per worker. + +.. testcode:: + + from ray.train import ScalingConfig + + # 4 nodes with 8 CPUs each. + scaling_config = ScalingConfig(num_workers=4, resources_per_worker={"CPU": 8}) + +.. note:: + When using Ray Data with Ray Train, be careful not to request all available CPUs in your cluster with the `resources_per_worker` parameter. + Ray Data needs CPU resources to execute data preprocessing operations in parallel. + If all CPUs are allocated to training workers, Ray Data operations may be bottlenecked, leading to reduced performance. + A good practice is to leave some portion of CPU resources available for Ray Data operations. + + For example, if your cluster has 8 CPUs per node, you might allocate 6 CPUs to training workers and leave 2 CPUs for Ray Data: + + .. testcode:: + + # Allocate 6 CPUs per worker, leaving resources for Ray Data operations + scaling_config = ScalingConfig(num_workers=4, resources_per_worker={"CPU": 6}) + + +In order to use GPUs, you will need to set the `use_gpu` parameter to `True` in your :class:`~ray.train.ScalingConfig` object. +This will request and assign a single GPU per worker. + +.. testcode:: + + # 1 node with 8 CPUs and 4 GPUs each. + scaling_config = ScalingConfig(num_workers=4, use_gpu=True) + + # 4 nodes with 8 CPUs and 4 GPUs each. + scaling_config = ScalingConfig(num_workers=16, use_gpu=True) + +When using GPUs, you will also need to update your training function to use the assigned GPU. +This can be done by setting the `"device"` parameter as `"gpu"`. +For more details on LightGBM's GPU support, see the `LightGBM GPU documentation `__. + +.. code-block:: diff + + def train_func(): + ... + + params = { + ..., + + "device": "gpu", + } + + bst = lightgbm.train( + params, + ... + ) + + +Configure persistent storage +---------------------------- + +Create a :class:`~ray.train.RunConfig` object to specify the path where results +(including checkpoints and artifacts) will be saved. + +.. testcode:: + + from ray.train import RunConfig + + # Local path (/some/local/path/unique_run_name) + run_config = RunConfig(storage_path="/some/local/path", name="unique_run_name") + + # Shared cloud storage URI (s3://bucket/unique_run_name) + run_config = RunConfig(storage_path="s3://bucket", name="unique_run_name") + + # Shared NFS path (/mnt/nfs/unique_run_name) + run_config = RunConfig(storage_path="/mnt/nfs", name="unique_run_name") + + +.. warning:: + + Specifying a *shared storage location* (such as cloud storage or NFS) is + *optional* for single-node clusters, but it is **required for multi-node clusters.** + Using a local path will :ref:`raise an error ` + during checkpointing for multi-node clusters. + + +For more details, see :ref:`persistent-storage-guide`. + +Launch a training job +--------------------- + +Tying it all together, you can now launch a distributed training job with a :class:`~ray.train.lightgbm.LightGBMTrainer`. + +.. testcode:: + :hide: + + from ray.train import ScalingConfig + + train_func = lambda: None + scaling_config = ScalingConfig(num_workers=1) + run_config = None + +.. testcode:: + + from ray.train.lightgbm import LightGBMTrainer + + trainer = LightGBMTrainer( + train_func, scaling_config=scaling_config, run_config=run_config + ) + result = trainer.fit() + +Access training results +----------------------- + +After training completes, a :class:`~ray.train.Result` object is returned which contains +information about the training run, including the metrics and checkpoints reported during training. + +.. testcode:: + + result.metrics # The metrics reported during training. + result.checkpoint # The latest checkpoint reported during training. + result.path # The path where logs are stored. + result.error # The exception that was raised, if training failed. + +For more usage examples, see :ref:`train-inspect-results`. + +Next steps +---------- + +After you have converted your LightGBM training script to use Ray Train: + +* See :ref:`User Guides ` to learn more about how to perform specific tasks. +* Browse the :doc:`Examples ` for end-to-end examples of how to use Ray Train. +* Consult the :ref:`API Reference ` for more details on the classes and methods from this tutorial. \ No newline at end of file diff --git a/doc/source/train/more-frameworks.rst b/doc/source/train/more-frameworks.rst index a67a2b2f4486..36fa2a20c1f2 100644 --- a/doc/source/train/more-frameworks.rst +++ b/doc/source/train/more-frameworks.rst @@ -9,7 +9,7 @@ More Frameworks Hugging Face Accelerate Guide DeepSpeed Guide TensorFlow and Keras Guide - XGBoost and LightGBM Guide + LightGBM Guide Horovod Guide .. grid:: 1 2 3 4 @@ -41,12 +41,12 @@ More Frameworks TensorFlow and Keras .. grid-item-card:: - :img-top: /images/xgboost_logo.png + :img-top: /images/lightgbm_logo.png :class-img-top: mt-2 w-75 d-block mx-auto fixed-height-img - :link: examples/xgboost/distributed-xgboost-lightgbm + :link: getting-started-lightgbm :link-type: doc - XGBoost and LightGBM + LightGBM .. grid-item-card:: :img-top: /images/horovod.png diff --git a/doc/source/tune/examples/tune-xgboost.ipynb b/doc/source/tune/examples/tune-xgboost.ipynb index 5a93cdb3967e..7296f349bdd6 100644 --- a/doc/source/tune/examples/tune-xgboost.ipynb +++ b/doc/source/tune/examples/tune-xgboost.ipynb @@ -187,7 +187,7 @@ "\n", "## Scaling XGBoost Training with Ray Train\n", "\n", - "In {doc}`/train/examples/xgboost/distributed-xgboost-lightgbm`, we covered how to scale XGBoost single-model training with *Ray Train*.\n", + "In {doc}`/train/getting-started-xgboost`, we covered how to scale XGBoost single-model training with *Ray Train*.\n", "For the rest of this tutorial, we will focus on how to optimize the hyperparameters of the XGBoost model using *Ray Tune*.\n", "\n", "## XGBoost Hyperparameters\n", @@ -905,7 +905,7 @@ "\n", "- {doc}`/tune/examples/includes/xgboost_dynamic_resources_example`:\n", " Trains a basic XGBoost model with Tune with the class-based API and a ResourceChangingScheduler, ensuring all resources are being used at all time.\n", - "- {doc}`/train/examples/xgboost/distributed-xgboost-lightgbm`: Shows how to scale XGBoost single-model training with *Ray Train* (as opposed to hyperparameter tuning with Ray Tune).\n", + "- {doc}`/train/getting-started-xgboost`: Shows how to scale XGBoost single-model training with *Ray Train* (as opposed to hyperparameter tuning with Ray Tune).\n", "\n", "## Learn More\n", "\n", diff --git a/python/ray/train/lightgbm/lightgbm_trainer.py b/python/ray/train/lightgbm/lightgbm_trainer.py index 754cf7a961cc..08bb5cd5b797 100644 --- a/python/ray/train/lightgbm/lightgbm_trainer.py +++ b/python/ray/train/lightgbm/lightgbm_trainer.py @@ -71,7 +71,7 @@ def _lightgbm_train_fn_per_worker( valid_names.append(eval_name) # Add network params of the worker group to enable distributed training. - config.update(ray.train.lightgbm.v2.get_network_params()) + config.update(ray.train.lightgbm.get_network_params()) lightgbm.train( params=config, @@ -121,6 +121,9 @@ def train_fn_per_worker(config: dict): "learning_rate": 1e-4, "subsample": 0.5, "max_depth": 2, + # Adding the line below is the only change needed + # for your `lgb.train` call! + **ray.train.lightgbm.get_network_params(), } # 2. Do distributed data-parallel training. diff --git a/python/ray/train/lightgbm/v2.py b/python/ray/train/lightgbm/v2.py index 62287e0fe4c7..22fca71cf9d3 100644 --- a/python/ray/train/lightgbm/v2.py +++ b/python/ray/train/lightgbm/v2.py @@ -49,7 +49,7 @@ def train_fn_per_worker(config: dict): "objective": "regression", # Adding the line below is the only change needed # for your `lgb.train` call! - **ray.train.lightgbm.v2.get_network_params(), + **ray.train.lightgbm.get_network_params(), } lgb.train( params, diff --git a/python/ray/train/v2/lightgbm/lightgbm_trainer.py b/python/ray/train/v2/lightgbm/lightgbm_trainer.py index 06655d763c82..cc9fc408bfe8 100644 --- a/python/ray/train/v2/lightgbm/lightgbm_trainer.py +++ b/python/ray/train/v2/lightgbm/lightgbm_trainer.py @@ -54,7 +54,7 @@ def train_fn_per_worker(config: dict): "objective": "regression", # Adding the line below is the only change needed # for your `lgb.train` call! - **ray.train.lightgbm.v2.get_network_params(), + **ray.train.lightgbm.get_network_params(), } lgb.train( params, diff --git a/python/ray/train/v2/tests/test_lightgbm_trainer.py b/python/ray/train/v2/tests/test_lightgbm_trainer.py index 9e62896b8e7d..2e1184d6fbf2 100644 --- a/python/ray/train/v2/tests/test_lightgbm_trainer.py +++ b/python/ray/train/v2/tests/test_lightgbm_trainer.py @@ -68,7 +68,7 @@ def lightgbm_train_fn_per_worker( valid_names.append(eval_name) # Add network params of the worker group to enable distributed training. - config.update(ray.train.lightgbm.v2.get_network_params()) + config.update(ray.train.lightgbm.get_network_params()) lightgbm.train( params=config, From 15117d03846dbb4003df781fe5bb76fbcdb0721e Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 5 Aug 2025 15:06:26 -0700 Subject: [PATCH 0506/1566] [core] Fix check fail when task buffer periodical runner runs before RayEvent is initialized (#55249) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_process.cc | 24 +++++----- src/ray/util/event.cc | 38 ++++++--------- src/ray/util/event.h | 55 +++++++++++----------- 3 files changed, 55 insertions(+), 62 deletions(-) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 8c2143a083f9..d81d8e00ae2e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -722,6 +722,18 @@ CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) // We need init stats before using it/spawning threads. stats::Init(global_tags, options_.metrics_agent_port, worker_id_); + // Initialize event framework before starting up worker. + if (RayConfig::instance().event_log_reporter_enabled() && !options_.log_dir.empty()) { + const std::vector source_types = { + ray::rpc::Event_SourceType::Event_SourceType_CORE_WORKER, + ray::rpc::ExportEvent_SourceType::ExportEvent_SourceType_EXPORT_TASK}; + RayEventInit(source_types, + /*custom_fields=*/{}, + options_.log_dir, + RayConfig::instance().event_level(), + RayConfig::instance().emit_event_to_log_file()); + } + { // Notify that core worker is initialized. absl::Cleanup initialzed_scope_guard = [this] { @@ -732,18 +744,6 @@ CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) auto write_locked = core_worker_.LockForWrite(); write_locked.Get() = worker; } - - // Initialize event framework. - if (RayConfig::instance().event_log_reporter_enabled() && !options_.log_dir.empty()) { - const std::vector source_types = { - ray::rpc::Event_SourceType::Event_SourceType_CORE_WORKER, - ray::rpc::ExportEvent_SourceType::ExportEvent_SourceType_EXPORT_TASK}; - RayEventInit(source_types, - absl::flat_hash_map(), - options_.log_dir, - RayConfig::instance().event_level(), - RayConfig::instance().emit_event_to_log_file()); - } } CoreWorkerProcessImpl::~CoreWorkerProcessImpl() { diff --git a/src/ray/util/event.cc b/src/ray/util/event.cc index e8ce86cea675..e704c8684738 100644 --- a/src/ray/util/event.cc +++ b/src/ray/util/event.cc @@ -23,8 +23,6 @@ #include #include -#include "absl/base/call_once.h" -#include "absl/time/time.h" #include "ray/util/random.h" #include "ray/util/string_utils.h" #include "ray/util/timestamp_utils.h" @@ -52,7 +50,7 @@ LogEventReporter::LogEventReporter(SourceTypeVariant source_type, // generate file name, if the soucrce type is RAYLET or GCS, the file name would like // event_GCS.log, event_RAYLET.log other condition would like // event_CORE_WOREKER_{pid}.log - std::string source_type_name = ""; + std::string source_type_name; bool add_pid_to_file = false; if (auto event_source_type_ptr = std::get_if(&source_type)) { rpc::Event_SourceType event_source_type = *event_source_type_ptr; @@ -215,14 +213,11 @@ void EventManager::Publish(const rpc::Event &event, const json &custom_fields) { void EventManager::PublishExportEvent(const rpc::ExportEvent &export_event) { auto element = export_log_reporter_map_.find(export_event.source_type()); - if (element != export_log_reporter_map_.end()) { - (element->second)->ReportExportEvent(export_event); - } else { - RAY_LOG(FATAL) - << "RayEventInit wasn't called with the necessary source type " - << ExportEvent_SourceType_Name(export_event.source_type()) - << ". This indicates a bug in the code, and the event will be dropped."; - } + RAY_CHECK(element != export_log_reporter_map_.end()) + << "RayEventInit wasn't called with the necessary source type " + << ExportEvent_SourceType_Name(export_event.source_type()) + << ". This indicates a bug in the code, and the event will be dropped."; + element->second->ReportExportEvent(export_event); } void EventManager::AddReporter(std::shared_ptr reporter) { @@ -270,7 +265,7 @@ void RayEventContext::SetEventContext( SetSourceType(source_type); UpdateCustomFields(custom_fields); - if (!global_context_started_setting_.fetch_or(1)) { + if (global_context_started_setting_.fetch_or(1) == 0) { global_context_ = std::make_unique(); global_context_->SetSourceType(source_type); global_context_->UpdateCustomFields(custom_fields); @@ -471,15 +466,13 @@ void RayExportEvent::SendEvent() { EventManager::Instance().PublishExportEvent(export_event); } -static absl::once_flag init_once_; - -void RayEventInit_(const std::vector source_types, +void RayEventInit_(const std::vector &source_types, const absl::flat_hash_map &custom_fields, const std::string &log_dir, const std::string &event_level, bool emit_event_to_log_file) { for (const auto &source_type : source_types) { - std::string source_type_name = ""; + std::string source_type_name; auto event_dir = std::filesystem::path(log_dir) / std::filesystem::path("events"); if (auto event_source_type_ptr = std::get_if(&source_type)) { // Set custom fields for non export events @@ -503,17 +496,16 @@ void RayEventInit_(const std::vector source_types, SetEmitEventToLogFile(emit_event_to_log_file); } -void RayEventInit(const std::vector source_types, +void RayEventInit(const std::vector &source_types, const absl::flat_hash_map &custom_fields, const std::string &log_dir, const std::string &event_level, bool emit_event_to_log_file) { - absl::call_once( - init_once_, - [&source_types, &custom_fields, &log_dir, &event_level, emit_event_to_log_file]() { - RayEventInit_( - source_types, custom_fields, log_dir, event_level, emit_event_to_log_file); - }); + static std::once_flag init_once_; + std::call_once(init_once_, [&]() { + RayEventInit_( + source_types, custom_fields, log_dir, event_level, emit_event_to_log_file); + }); } bool IsExportAPIEnabledSourceType( diff --git a/src/ray/util/event.h b/src/ray/util/event.h index a7f4b2b7b7f9..53af58b3b77c 100644 --- a/src/ray/util/event.h +++ b/src/ray/util/event.h @@ -25,6 +25,7 @@ #include #include #include +#include #include #include @@ -143,6 +144,12 @@ class EventManager final { public: static EventManager &Instance(); + EventManager(const EventManager &manager) = delete; + + const EventManager &operator=(const EventManager &manager) = delete; + + ~EventManager() = default; + bool IsEmpty(); // We added `const json &custom_fields` here because we need to support typed custom @@ -167,11 +174,6 @@ class EventManager final { private: EventManager(); - EventManager(const EventManager &manager) = delete; - - const EventManager &operator=(const EventManager &manager) = delete; - - private: absl::flat_hash_map> reporter_map_; absl::flat_hash_map> export_log_reporter_map_; @@ -183,7 +185,7 @@ class RayEventContext final { public: static RayEventContext &Instance(); - RayEventContext() {} + RayEventContext() = default; void SetEventContext( rpc::Event_SourceType source_type, @@ -201,31 +203,31 @@ class RayEventContext final { void UpdateCustomFields( const absl::flat_hash_map &custom_fields); - inline void SetSourceType(rpc::Event_SourceType source_type) { - source_type_ = source_type; - } + void SetSourceType(rpc::Event_SourceType source_type) { source_type_ = source_type; } - inline const rpc::Event_SourceType &GetSourceType() const { return source_type_; } + const rpc::Event_SourceType &GetSourceType() const { return source_type_; } - inline const std::string &GetSourceHostname() const { return source_hostname_; } + const std::string &GetSourceHostname() const { return source_hostname_; } - inline int32_t GetSourcePid() const { return source_pid_; } + int32_t GetSourcePid() const { return source_pid_; } - inline const absl::flat_hash_map &GetCustomFields() const { + const absl::flat_hash_map &GetCustomFields() const { return custom_fields_; } - inline bool GetInitialzed() const { + bool GetInitialzed() const { return source_type_ != rpc::Event_SourceType::Event_SourceType_COMMON; } - private: - static RayEventContext &GlobalInstance(); - RayEventContext(const RayEventContext &event_context) = delete; const RayEventContext &operator=(const RayEventContext &event_context) = delete; + ~RayEventContext() = default; + + private: + static RayEventContext &GlobalInstance(); + rpc::Event_SourceType source_type_ = rpc::Event_SourceType::Event_SourceType_COMMON; std::string source_hostname_ = boost::asio::ip::host_name(); int32_t source_pid_ = getpid(); @@ -251,12 +253,12 @@ class RayEvent { // deconstructed. Otherwise we might have memory issues. RayEvent(rpc::Event_Severity severity, RayLogLevel log_severity, - const std::string &label, + std::string label, const char *file_name, int line_number) : severity_(severity), log_severity_(log_severity), - label_(label), + label_(std::move(label)), file_name_(file_name), line_number_(line_number) {} @@ -296,15 +298,15 @@ class RayEvent { ~RayEvent(); + RayEvent(const RayEvent &event) = delete; + + const RayEvent &operator=(const RayEvent &event) = delete; + private: RayEvent() = default; void SendMessage(const std::string &message); - RayEvent(const RayEvent &event) = delete; - - const RayEvent &operator=(const RayEvent &event) = delete; - // Only for test static void SetLevel(const std::string &event_level); // Only for test @@ -331,13 +333,12 @@ using ExportEventDataPtr = std::variant source_types, +void RayEventInit(const std::vector &source_types, const absl::flat_hash_map &custom_fields, const std::string &log_dir, const std::string &event_level = "warning", @@ -376,7 +377,7 @@ void RayEventInit(const std::vector source_types, /// and has been separated out so RayEventInit can be called multiple times in /// tests. /// **Note**: This should only be called from tests. -void RayEventInit_(const std::vector source_types, +void RayEventInit_(const std::vector &source_types, const absl::flat_hash_map &custom_fields, const std::string &log_dir, const std::string &event_level, From af10dd59203f319829e8ae2dccc06b6fcf0c7e19 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 15:14:20 -0700 Subject: [PATCH 0507/1566] [ci] fixes grpcio requirements difference (#55245) sync with the definition in the wheel fixes #55241 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/requirements.txt | 5 ++++- python/requirements_compiled.txt | 2 +- python/requirements_compiled_ray_py311_cpu.txt | 2 +- python/requirements_compiled_ray_py311_cu121.txt | 2 +- python/requirements_compiled_ray_py311_cu128.txt | 2 +- python/requirements_compiled_rayllm_py311_cpu.txt | 2 +- python/requirements_compiled_rayllm_py311_cu121.txt | 2 +- python/requirements_compiled_rayllm_py311_cu128.txt | 2 +- 8 files changed, 11 insertions(+), 8 deletions(-) diff --git a/python/requirements.txt b/python/requirements.txt index 6be75637c0a5..709e744bb0da 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -19,8 +19,11 @@ requests watchfiles # Python version-specific requirements +grpcio >= 1.32.0; python_version < '3.10' +grpcio >= 1.42.0; python_version >= '3.10' +# Version used in mac CI; needs upgrade. grpcio == 1.54.2; sys_platform == "darwin" -grpcio >= 1.54.2; sys_platform != "darwin" + numpy>=1.20 pyarrow >= 9.0.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index d6645dca02fe..b43938ccf1d0 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -676,7 +676,7 @@ graphviz==0.20.3 # via -r python/requirements/test-requirements.txt greenlet==3.0.1 # via sqlalchemy -grpcio==1.66.2 ; sys_platform != "darwin" +grpcio==1.66.2 ; python_version >= "3.10" # via # -r python/requirements.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index f7ad9b2e7e01..1398bbae57df 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -633,7 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index 47e82af00132..e3e854a33f4d 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -633,7 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index 1433c01ac3f2..f1b0a3107207 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -633,7 +633,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 98721a6e182a..bba888ddd4ad 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -854,7 +854,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 5d5361ea2899..c1d97bcf0776 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -854,7 +854,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 68e0f07cea75..3ca901b810c5 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -854,7 +854,7 @@ googleapis-common-protos==1.61.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # google-api-core -grpcio==1.66.2 ; sys_platform != 'darwin' \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ From 0070824290a917952cd27eff6ef81969bb9f40a5 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 15:32:38 -0700 Subject: [PATCH 0508/1566] [doc] remove `protobuf<3` pinning in examples (#55242) we are already using `protobuf>=4`. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../cluster_envs/04_finetuning_llms_with_deepspeed.yaml | 2 +- .../docker/04_finetuning_llms_with_deepspeed/requirements.txt | 4 ++-- release/ray_release/byod/byod_finetune_llvms.sh | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/source/templates/testing/cluster_envs/04_finetuning_llms_with_deepspeed.yaml b/doc/source/templates/testing/cluster_envs/04_finetuning_llms_with_deepspeed.yaml index 3ee4e3603767..be9339fa27ed 100644 --- a/doc/source/templates/testing/cluster_envs/04_finetuning_llms_with_deepspeed.yaml +++ b/doc/source/templates/testing/cluster_envs/04_finetuning_llms_with_deepspeed.yaml @@ -17,7 +17,7 @@ python: bitsandbytes, wandb, pytorch-lightning, - protobuf<3.21.0, + protobuf, torchmetrics, lm_eval==0.3.0, tiktoken==0.1.2, diff --git a/doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt b/doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt index d699c7df32b6..e47bd17a0431 100644 --- a/doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt +++ b/doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt @@ -6,7 +6,7 @@ accelerate evaluate wandb pytorch-lightning -protobuf<3.21.0 +protobuf torchmetrics sentencepiece -peft==0.7.0 \ No newline at end of file +peft==0.7.0 diff --git a/release/ray_release/byod/byod_finetune_llvms.sh b/release/ray_release/byod/byod_finetune_llvms.sh index 9249f83157b8..4b6260647bff 100755 --- a/release/ray_release/byod/byod_finetune_llvms.sh +++ b/release/ray_release/byod/byod_finetune_llvms.sh @@ -13,7 +13,7 @@ pip3 install -U \ evaluate==0.4.0 \ wandb==0.15.8 \ pytorch-lightning==2.0.6 \ - "protobuf<3.21.0" \ + protobuf \ torchmetrics==1.0.3 \ sentencepiece==0.1.99 \ "urllib3<1.27" \ From e2ecae9ef9b106759769170a6a37709cedf89886 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Tue, 5 Aug 2025 16:02:29 -0700 Subject: [PATCH 0509/1566] [Core][TaskEventsFollowup/01] Improve the Lost Events Tracking in Task Event Pipeline (#55186) This is the first of the followup PRs for the task event implementation. This PR mainly improves the lost events tracking of the task event pipeline. On the high level: (1) We will only use the GRPC status of the `AddEvents` call between the task event buffer and the event aggregator agent to determine the status of the call. The additional status field in the `AddEventsReply` is only compatibility purposes when we reuse the protobuf message when communicating with GCS. (2) All events seen by the `event_aggregator` will be deemed as successfully sent to the event_aggregator. On the event buffer side, as long as the AddEvents GRPC call returns successfully, we will record all the events as successfully reported to the aggregator. (3) And on the `event_aggregator` side, it will track the number of events fails to add to the queue inside it and the number of events dropped due to the buffer is full within itself. The tests are updated correspondingly. #54515 --------- Signed-off-by: Mengjin Yan Signed-off-by: myan Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 70 +++++--------- .../aggregator/tests/test_aggregator_agent.py | 94 +++++-------------- python/ray/tests/test_metrics_agent.py | 9 +- src/ray/core_worker/core_worker.cc | 16 ++-- src/ray/core_worker/task_event_buffer.cc | 70 +++++++------- src/ray/core_worker/task_event_buffer.h | 7 +- .../test/task_event_buffer_test.cc | 12 +-- 7 files changed, 101 insertions(+), 177 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 48feb2aea84f..97ba70bfabe8 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -91,19 +91,23 @@ metrics_prefix = "event_aggregator_agent" events_received = Counter( f"{metrics_prefix}_events_received", - "Total number of events received.", + "Total number of events received from the upstream components from the " + "AddEvents gRPC call.", tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), namespace="ray", ) - events_dropped_at_core_worker = Counter( - f"{metrics_prefix}_events_dropped_at_core_worker", - "Total number of events dropped at core worker.", + events_failed_to_add_to_aggregator = Counter( + f"{metrics_prefix}_events_failed_to_add_to_aggregator", + "Total number of events failed to add to the event aggregator. The metric " + "counts the events received by the aggregator agent from the AddEvents gRPC " + "call but failed to add to the buffer due to unexpected errors.", tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), namespace="ray", ) events_dropped_at_event_aggregator = Counter( f"{metrics_prefix}_events_dropped_at_event_aggregator", - "Total number of events dropped at the event aggregator.", + "Total number of events dropped at the event aggregator due to the buffer " + "being full.", tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), namespace="ray", ) @@ -156,7 +160,7 @@ def __init__(self, dashboard_agent) -> None: self._stop_event = threading.Event() self._publisher_threads = [] self._events_received_since_last_metrics_update = 0 - self._events_dropped_at_core_worker_since_last_metrics_update = 0 + self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 self._events_published_since_last_metrics_update = 0 self._events_filtered_out_since_last_metrics_update = 0 @@ -188,58 +192,34 @@ def _receive_events(self, request): """ Receives events from the request, adds them to the event buffer, """ + # TODO(myan) #54515: Considering adding a mechanism to also send out the events + # metadata (e.g. dropped task attempts) to help with event processing at the + # downstream events_data = request.events_data - with self._lock: - self._events_dropped_at_core_worker_since_last_metrics_update += len( - events_data.task_events_metadata.dropped_task_attempts - ) - # The status code is defined in `src/ray/common/status.h` - status_code = 0 - error_messages = [] for event in events_data.events: + with self._lock: + self._events_received_since_last_metrics_update += 1 try: self._event_buffer.put_nowait(event) - with self._lock: - self._events_received_since_last_metrics_update += 1 except queue.Full: - old_event = self._event_buffer.get_nowait() + self._event_buffer.get_nowait() self._event_buffer.put_nowait(event) with self._lock: - self._events_received_since_last_metrics_update += 1 self._events_dropped_at_event_aggregator_since_last_metrics_update += ( 1 ) - if status_code == 0: - status_code = 5 - error_messages.append( - f"event {old_event.event_id.decode()} dropped because event buffer full" - ) except Exception as e: logger.error( - "Failed to add event to buffer. Error: %s", + f"Failed to add event with id={event.event_id.decode()} to buffer. " + "Error: %s", e, ) with self._lock: - self._events_dropped_at_event_aggregator_since_last_metrics_update += ( + self._events_failed_to_add_to_aggregator_since_last_metrics_update += ( 1 ) - status_code = 9 - error_messages.append( - f"event {event.event_id.decode()} failed to add to buffer with error {e}" - ) - status_message = "all events received" - if error_messages: - truncate_num = 5 - status_message = ", ".join(error_messages[:truncate_num]) - if len(error_messages) > truncate_num: - status_message += ( - f", and {len(error_messages) - truncate_num} more events dropped" - ) - status = events_event_aggregator_service_pb2.AddEventsStatus( - code=status_code, message=status_message - ) - return events_event_aggregator_service_pb2.AddEventsReply(status=status) + return events_event_aggregator_service_pb2.AddEventsReply() def _can_expose_event(self, event) -> bool: """ @@ -323,8 +303,8 @@ def _update_metrics(self) -> None: with self._lock: _events_received = self._events_received_since_last_metrics_update - _events_dropped_at_core_worker = ( - self._events_dropped_at_core_worker_since_last_metrics_update + _events_failed_to_add_to_aggregator = ( + self._events_failed_to_add_to_aggregator_since_last_metrics_update ) _events_dropped_at_event_aggregator = ( self._events_dropped_at_event_aggregator_since_last_metrics_update @@ -333,7 +313,7 @@ def _update_metrics(self) -> None: _events_filtered_out = self._events_filtered_out_since_last_metrics_update self._events_received_since_last_metrics_update = 0 - self._events_dropped_at_core_worker_since_last_metrics_update = 0 + self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 self._events_published_since_last_metrics_update = 0 self._events_filtered_out_since_last_metrics_update = 0 @@ -346,8 +326,8 @@ def _update_metrics(self) -> None: "SessionName": self.session_name, } events_received.labels(**labels).inc(_events_received) - events_dropped_at_core_worker.labels(**labels).inc( - _events_dropped_at_core_worker + events_failed_to_add_to_aggregator.labels(**labels).inc( + _events_failed_to_add_to_aggregator ) events_dropped_at_event_aggregator.labels(**labels).inc( _events_dropped_at_event_aggregator diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index b7442c822043..a47f59d10e43 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -29,7 +29,6 @@ from ray.core.generated.events_base_event_pb2 import RayEvent from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents -from ray.core.generated.common_pb2 import TaskAttempt _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() @@ -111,9 +110,7 @@ def test_aggregator_agent_receive_publish_events_normally( ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" - + assert reply is not None wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] @@ -152,88 +149,45 @@ def test_aggregator_agent_receive_event_full( httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - now = time.time_ns() - seconds, nanos = divmod(now, 10**9) + test_time = 1751302230130457542 + seconds, nanos = divmod(test_time, 10**9) timestamp = Timestamp(seconds=seconds, nanos=nanos) request = AddEventsRequest( events_data=RayEventsData( events=[ RayEvent( - event_id=b"1", + event_id=b"2", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, timestamp=timestamp, severity=RayEvent.Severity.INFO, message="hello", ), - ], - task_events_metadata=TaskEventsMetadata( - dropped_task_attempts=[], - ), - ) - ) - - reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" - - reply = stub.AddEvents(request) - assert reply.status.code == 5 - assert reply.status.message == "event 1 dropped because event buffer full" - - -@_with_aggregator_port -def test_aggregator_agent_receive_dropped_at_core_worker( - ray_start_cluster_head_with_env_vars, httpserver -): - cluster = ray_start_cluster_head_with_env_vars - stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id - ) - - httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - - now = time.time_ns() - seconds, nanos = divmod(now, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) - - request = AddEventsRequest( - events_data=RayEventsData( - events=[ RayEvent( - event_id=b"5", + event_id=b"3", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, timestamp=timestamp, severity=RayEvent.Severity.INFO, - message="core worker event", + message="hello", ), ], task_events_metadata=TaskEventsMetadata( - dropped_task_attempts=[ - TaskAttempt( - task_id=b"1", - attempt_number=1, - ), - TaskAttempt( - task_id=b"2", - attempt_number=2, - ), - ], + dropped_task_attempts=[], ), ) ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" - + assert reply is not None wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) - assert req_json[0]["message"] == "core worker event" + + assert len(req_json) == 1 + assert req_json[0]["eventId"] == base64.b64encode(b"3").decode() @_with_aggregator_port @@ -253,7 +207,7 @@ def test_aggregator_agent_receive_multiple_events( events_data=RayEventsData( events=[ RayEvent( - event_id=b"3", + event_id=b"4", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, timestamp=timestamp, @@ -261,7 +215,7 @@ def test_aggregator_agent_receive_multiple_events( message="event1", ), RayEvent( - event_id=b"4", + event_id=b"5", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, timestamp=timestamp, @@ -275,13 +229,14 @@ def test_aggregator_agent_receive_multiple_events( ) ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" + assert reply is not None wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) assert len(req_json) == 2 + assert req_json[0]["eventId"] == base64.b64encode(b"4").decode() assert req_json[0]["message"] == "event1" + assert req_json[1]["eventId"] == base64.b64encode(b"5").decode() assert req_json[1]["message"] == "event2" @@ -341,11 +296,12 @@ def test_aggregator_agent_receive_multiple_events_failures( ) ) reply = stub.AddEvents(request) - assert reply.status.code == 5 - assert ( - reply.status.message - == "event 1 dropped because event buffer full, event 2 dropped because event buffer full" - ) + assert reply is not None + wait_for_condition(lambda: len(httpserver.log) == 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + assert len(req_json) == 1 + assert req_json[0]["eventId"] == base64.b64encode(b"3").decode() @_with_aggregator_port @@ -366,8 +322,7 @@ def test_aggregator_agent_receive_empty_events( ) ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" + assert reply is not None @_with_aggregator_port @@ -455,8 +410,7 @@ def test_aggregator_agent_receive_profile_events( ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" + assert reply is not None wait_for_condition(lambda: len(httpserver.log) == 1) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 6e0ac7fd6f00..95e232d05f01 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -140,7 +140,7 @@ _EVENT_AGGREGATOR_METRICS = [ "ray_event_aggregator_agent_events_received_total", - "ray_event_aggregator_agent_events_dropped_at_core_worker_total", + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", "ray_event_aggregator_agent_events_published_total", ] @@ -501,7 +501,7 @@ def test_case_stats_exist(): metrics_names = metric_descriptors.keys() event_aggregator_metrics = [ "ray_event_aggregator_agent_events_received_total", - "ray_event_aggregator_agent_events_dropped_at_core_worker_total", + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", "ray_event_aggregator_agent_events_published_total", ] @@ -511,7 +511,7 @@ def test_case_value_correct(): _, _, metric_samples = fetch_prometheus(prom_addresses) expected_metrics_values = { "ray_event_aggregator_agent_events_received_total": 2.0, - "ray_event_aggregator_agent_events_dropped_at_core_worker_total": 1.0, + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total": 0.0, "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total": 1.0, "ray_event_aggregator_agent_events_published_total": 1.0, } @@ -560,8 +560,7 @@ def test_case_value_correct(): ) reply = stub.AddEvents(request) - assert reply.status.code == 5 - assert reply.status.message == "event 1 dropped because event buffer full" + assert reply is not None wait_for_condition(lambda: len(httpserver.log) == 1) wait_for_condition(test_case_value_correct, timeout=30, retry_interval_ms=1000) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index dd830d4943b6..a503f3917abf 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -562,7 +562,7 @@ void CoreWorker::Disconnect( auto task_event = std::make_unique( worker_context_->GetCurrentTaskID(), worker_context_->GetCurrentJobID(), - /* attempt_number */ 0, + /*attempt_number=*/0, rpc::TaskStatus::FINISHED, /*timestamp=*/absl::GetCurrentTimeNanos(), /*is_actor_task_event=*/worker_context_->GetCurrentActorID().IsNil()); @@ -2061,9 +2061,9 @@ std::vector CoreWorker::SubmitTask( task_options.serialized_runtime_env_info, call_site, worker_context_->GetMainThreadOrActorCreationTaskID(), - /*concurrency_group_name*/ "", - /*include_job_config*/ true, - /*generator_backpressure_num_objects*/ + /*concurrency_group_name=*/"", + /*include_job_config=*/true, + /*generator_backpressure_num_objects=*/ task_options.generator_backpressure_num_objects, /*enable_task_event=*/task_options.enable_task_events, task_options.labels, @@ -2158,10 +2158,10 @@ Status CoreWorker::CreateActor(const RayFunction &function, actor_creation_options.serialized_runtime_env_info, call_site, worker_context_->GetMainThreadOrActorCreationTaskID(), - /*concurrency_group_name*/ "", - /*include_job_config*/ true, - /*generator_backpressure_num_objects*/ -1, - /*enable_task_events*/ actor_creation_options.enable_task_events, + /*concurrency_group_name=*/"", + /*include_job_config=*/true, + /*generator_backpressure_num_objects=*/-1, + /*enable_task_events=*/actor_creation_options.enable_task_events, actor_creation_options.labels, actor_creation_options.label_selector); diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 793570974982..48348add2176 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -745,44 +745,34 @@ void TaskEventBufferImpl::SendTaskEventsToGCS(std::unique_ptr data) { event_aggregator_grpc_in_progress_ = true; - auto num_task_attempts_to_send = data->events_size(); + auto num_task_events_to_send = data->events_size(); auto num_dropped_task_attempts_to_send = data->task_events_metadata().dropped_task_attempts_size(); - // TODO(myan) #54515: To improve observability of the pipeline, we should track the - // number of events failed on the aggregator side due to grpc failure & unknown errors - // separately. - auto on_complete = [this, num_task_attempts_to_send, num_dropped_task_attempts_to_send]( - const Status &status, const rpc::events::AddEventsReply &reply) { - auto add_events_status = reply.status(); - auto add_events_status_code = add_events_status.code(); - auto add_events_status_message = add_events_status.message(); - if (!status.ok() || add_events_status_code != 0) { - // The event aggregator failed to add events due to unknown errors or exiting - // events are dropped due to event buffer is full. - std::stringstream error_info; - error_info << "[grpc_status=" << status; - if (add_events_status_code != 0) { - error_info << ", add_events_status=" << add_events_status_code - << ", add_events_status_message=" << add_events_status_message; - } - error_info << "]"; - - RAY_LOG(WARNING) << "Failed to send task events of " << num_task_attempts_to_send - << " tasks attempts, and report " - << num_dropped_task_attempts_to_send - << " task attempts lost on worker to the event aggregator." - << error_info.str(); - this->stats_counter_.Increment( - TaskEventBufferCounter::kTotalNumFailedToReportToAggregator); - } else { - this->stats_counter_.Increment(kTotalNumTaskAttemptsReportedToAggregator, - num_task_attempts_to_send); - this->stats_counter_.Increment(kTotalNumLostTaskAttemptsReportedToAggregator, - num_dropped_task_attempts_to_send); - } - event_aggregator_grpc_in_progress_ = false; - }; + rpc::ClientCallback on_complete = + [this, num_task_events_to_send, num_dropped_task_attempts_to_send]( + const Status &status, const rpc::events::AddEventsReply &reply) { + if (!status.ok()) { + RAY_LOG(WARNING) << "GRPC Error: Failed to send task events of " + << num_task_events_to_send << " tasks attempts, and report " + << num_dropped_task_attempts_to_send + << " task attempts lost on worker to the event aggregator." + << "[status=" << status << "]"; + this->stats_counter_.Increment( + TaskEventBufferCounter::kTotalNumFailedRequestsToAggregator); + this->stats_counter_.Increment( + TaskEventBufferCounter::kTotalNumTaskEventsFailedToReportToAggregator, + num_task_events_to_send); + } else { + this->stats_counter_.Increment( + TaskEventBufferCounter::kTotalNumTaskEventsReportedToAggregator, + num_task_events_to_send); + this->stats_counter_.Increment( + TaskEventBufferCounter::kTotalNumLostTaskAttemptsReportedToAggregator, + num_dropped_task_attempts_to_send); + } + event_aggregator_grpc_in_progress_ = false; + }; rpc::events::AddEventsRequest request; *request.mutable_events_data() = std::move(*data); @@ -998,7 +988,15 @@ std::string TaskEventBufferImpl::DebugString() { << "\n\tnum status task events dropped: " << stats[TaskEventBufferCounter::kTotalNumTaskStatusEventDropped] << "\n\tnum profile task events dropped: " - << stats[TaskEventBufferCounter::kTotalNumTaskProfileEventDropped] << "\n"; + << stats[TaskEventBufferCounter::kTotalNumTaskProfileEventDropped] + << "\n\tnum ray task events reported to aggregator: " + << stats[TaskEventBufferCounter::kTotalNumTaskEventsReportedToAggregator] + << "\n\tnum ray task events failed to report to aggregator: " + << stats[TaskEventBufferCounter::kTotalNumTaskEventsFailedToReportToAggregator] + << "\n\tnum of task attempts dropped reported to aggregator: " + << stats[TaskEventBufferCounter::kTotalNumLostTaskAttemptsReportedToAggregator] + << "\n\tnum of failed requests to aggregator: " + << stats[TaskEventBufferCounter::kTotalNumFailedRequestsToAggregator]; return ss.str(); } diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index e30b33b815b8..131c905a35d1 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -251,12 +251,13 @@ enum TaskEventBufferCounter { kTotalNumTaskProfileEventDropped, kTotalNumTaskStatusEventDropped, kTotalNumTaskAttemptsReported, - kTotalNumTaskAttemptsReportedToAggregator, kTotalNumLostTaskAttemptsReported, - kTotalNumLostTaskAttemptsReportedToAggregator, kTotalTaskEventsBytesReported, kTotalNumFailedToReport, - kTotalNumFailedToReportToAggregator, + kTotalNumTaskEventsReportedToAggregator, + kTotalNumTaskEventsFailedToReportToAggregator, + kTotalNumLostTaskAttemptsReportedToAggregator, + kTotalNumFailedRequestsToAggregator, }; /// An interface for a buffer that stores task status changes and profiling events, diff --git a/src/ray/core_worker/test/task_event_buffer_test.cc b/src/ray/core_worker/test/task_event_buffer_test.cc index bbbb5b922ac9..462a940c3dab 100644 --- a/src/ray/core_worker/test/task_event_buffer_test.cc +++ b/src/ray/core_worker/test/task_event_buffer_test.cc @@ -463,8 +463,6 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { rpc::events::AddEventsRequest add_events_request; if (to_aggregator) { rpc::events::AddEventsReply reply; - reply.mutable_status()->set_code(/*OK*/ 0); - reply.mutable_status()->set_message("All events received"); Status status = Status::OK(); EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) .WillOnce(DoAll( @@ -524,8 +522,6 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFailedFlush) { rpc::events::AddEventsReply reply_1; Status status_1 = Status::RpcError("grpc error", grpc::StatusCode::UNKNOWN); rpc::events::AddEventsReply reply_2; - reply_2.mutable_status()->set_code(/*OK*/ 0); - reply_2.mutable_status()->set_message("All events received"); Status status_2 = Status::OK(); EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) @@ -547,7 +543,7 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFailedFlush) { } if (to_aggregator) { ASSERT_EQ(task_event_buffer_->stats_counter_.Get( - TaskEventBufferCounter::kTotalNumFailedToReportToAggregator), + TaskEventBufferCounter::kTotalNumFailedRequestsToAggregator), 1); } @@ -570,7 +566,7 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFailedFlush) { } if (to_aggregator) { ASSERT_EQ(task_event_buffer_->stats_counter_.Get( - TaskEventBufferCounter::kTotalNumFailedToReportToAggregator), + TaskEventBufferCounter::kTotalNumFailedRequestsToAggregator), 1); } } @@ -682,8 +678,6 @@ TEST_P(TaskEventBufferTestBatchSendDifferentDestination, TestBatchedSend) { task_event_buffer_->event_aggregator_client_.get()); if (to_aggregator) { rpc::events::AddEventsReply reply; - reply.mutable_status()->set_code(/*OK*/ 0); - reply.mutable_status()->set_message("All events received"); Status status = Status::OK(); EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) .Times(num_events / batch_size) @@ -788,8 +782,6 @@ TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, task_event_buffer_->event_aggregator_client_.get()); if (to_aggregator) { rpc::events::AddEventsReply reply; - reply.mutable_status()->set_code(/*OK*/ 0); - reply.mutable_status()->set_message("All events received"); Status status = Status::OK(); EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) .WillOnce(DoAll( From b3e7e5e0aac1deef6d91522dbac7c4a1a83821cb Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 5 Aug 2025 19:23:42 -0400 Subject: [PATCH 0510/1566] [Data] Fixing `StatsManager` to properly handle `StatsActor` being killed on disconnect (#55163) ## Why are these changes needed? Addresses https://github.com/ray-project/ray/issues/54841 Right now, `StatsManager` is overly reliant on the cached `ActorHandle` for `StatsActor`. Even though there's a corresponding check verifying that we're connected to the right cluster, it doesn't verify however whether `StatsActor` is still alive which could result in failures as highlighted in the linked ticket. To address this issue: 1. `_stats_actor` method is split into `_get_stats_actor` and `_get_or_create_stats_actor` 2. `_get_or_create_stats_actor` always skips the cache forcing actor lookup every time ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/stats.py | 53 ++++++++++++++++++++--------- python/ray/data/tests/test_stats.py | 44 ++++++++++++++++++++++-- 2 files changed, 78 insertions(+), 19 deletions(-) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 6a997f2a3f29..1b129f81c5c0 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -633,24 +633,45 @@ def __init__(self): self._update_thread: Optional[threading.Thread] = None self._update_thread_lock: threading.Lock = threading.Lock() - def _stats_actor(self, create_if_not_exists=True) -> Optional[ActorHandle]: + def _get_stats_actor(self, skip_cache: bool = False) -> Optional[ActorHandle]: if ray._private.worker._global_node is None: - raise RuntimeError("Global node is not initialized.") + raise RuntimeError( + "Global node is not initialized. Driver might be not connected to Ray." + ) + current_cluster_id = ray._private.worker._global_node.cluster_id + if ( self._stats_actor_handle is None or self._stats_actor_cluster_id != current_cluster_id + or skip_cache ): - if create_if_not_exists: - self._stats_actor_handle = _get_or_create_stats_actor() - else: - try: - self._stats_actor_handle = ray.get_actor( - name=STATS_ACTOR_NAME, namespace=STATS_ACTOR_NAMESPACE - ) - except ValueError: - return None + try: + self._stats_actor_handle = ray.get_actor( + name=STATS_ACTOR_NAME, namespace=STATS_ACTOR_NAMESPACE + ) + except ValueError: + return None self._stats_actor_cluster_id = current_cluster_id + + return self._stats_actor_handle + + def _get_or_create_stats_actor(self) -> Optional[ActorHandle]: + if ray._private.worker._global_node is None: + raise RuntimeError( + "Global node is not initialized. Driver might be not connected to Ray." + ) + + # NOTE: In some cases (for ex, when registering dataset) actor might be gone + # (for ex, when prior driver disconnects) and therefore to avoid using + # stale handle we force looking up the actor with Ray to determine if + # we should create a new one. + actor = self._get_stats_actor(skip_cache=True) + + if actor is None: + self._stats_actor_handle = _get_or_create_stats_actor() + self._stats_actor_cluster_id = ray._private.worker._global_node.cluster_id + return self._stats_actor_handle def _start_thread_if_not_running(self): @@ -667,9 +688,7 @@ def _run_update_loop(): # this thread can be running even after the cluster is # shutdown. Creating an actor will automatically start # a new cluster. - stats_actor = self._stats_actor( - create_if_not_exists=False - ) + stats_actor = self._get_stats_actor() if stats_actor is None: continue stats_actor.update_metrics.remote( @@ -740,7 +759,7 @@ def update_execution_metrics( per_node_metrics = self._aggregate_per_node_metrics(op_metrics) args = (dataset_tag, op_metrics_dicts, operator_tags, state, per_node_metrics) if force_update: - self._stats_actor().update_execution_metrics.remote(*args) + self._get_or_create_stats_actor().update_execution_metrics.remote(*args) else: with self._stats_lock: self._last_execution_stats[dataset_tag] = args @@ -787,7 +806,7 @@ def register_dataset_to_stats_actor( topology: Optional Topology representing the DAG structure to export data_context: The DataContext attached to the dataset """ - self._stats_actor().register_dataset.remote( + self._get_or_create_stats_actor().register_dataset.remote( ray.get_runtime_context().get_job_id(), dataset_tag, operator_tags, @@ -797,7 +816,7 @@ def register_dataset_to_stats_actor( def get_dataset_id_from_stats_actor(self) -> str: try: - return ray.get(self._stats_actor().get_dataset_id.remote()) + return ray.get(self._get_or_create_stats_actor().get_dataset_id.remote()) except Exception: # Getting dataset id from _StatsActor may fail, in this case # fall back to uuid4 diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index b24d5d6530c4..c71b81f590d8 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -1470,7 +1470,9 @@ def _sum_net_metrics(per_node_metrics: Dict[str, NodeMetrics]) -> Dict[str, floa sum_metrics[metric] += value return sum_metrics - with patch("ray.data._internal.stats.StatsManager._stats_actor") as mock_get_actor: + with patch( + "ray.data._internal.stats.StatsManager._get_or_create_stats_actor" + ) as mock_get_actor: mock_actor_handle = MagicMock() mock_get_actor.return_value = mock_actor_handle @@ -1516,7 +1518,9 @@ def test_per_node_metrics_toggle( ctx = DataContext.get_current() ctx.enable_per_node_metrics = enable_metrics - with patch("ray.data._internal.stats.StatsManager._stats_actor") as mock_get_actor: + with patch( + "ray.data._internal.stats.StatsManager._get_or_create_stats_actor" + ) as mock_get_actor: mock_actor_handle = MagicMock() mock_get_actor.return_value = mock_actor_handle @@ -1886,6 +1890,42 @@ def update_stats_manager(i): wait_for_condition(lambda: not StatsManager._update_thread.is_alive()) +def test_stats_manager_stale_actor_handle(ray_start_cluster): + """ + This test asserts that StatsManager is able to handle appropriately + cases of StatsActor being killed upon driver disconnecting from running + Ray cluster + + See https://github.com/ray-project/ray/issues/54841 for more details + """ + + class F: + def __call__(self, x): + return x + + # First driver run + ray.init(ignore_reinit_error=True) + + ray.data.range(1000).map_batches( + F, + concurrency=(1, 4), + num_cpus=1, + ).take_all() + + ray.shutdown() + + # Second driver run + ray.init(ignore_reinit_error=True) + + ray.data.range(1000).map_batches( + F, + concurrency=(1, 4), + num_cpus=1, + ).take_all() + + ray.shutdown() + + if __name__ == "__main__": import sys From e9637d2cecf381db9a25512daf212708efb6ee42 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 18:09:21 -0700 Subject: [PATCH 0511/1566] [java] convert internal java local genrules to py_binary run rules (#55238) so that these rules are idiomatic bazel build rules that do not write back to source tree during build phase Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- bazel/gen_extract.py | 16 ++++++--- java/BUILD.bazel | 61 ++++++++++++--------------------- java/build-jar-multiplatform.sh | 4 +-- java/gen_pom_files.py | 4 +++ java/gen_proto_files.py | 11 ++++++ java/test.sh | 4 +-- 6 files changed, 52 insertions(+), 48 deletions(-) create mode 100644 java/gen_pom_files.py create mode 100644 java/gen_proto_files.py diff --git a/bazel/gen_extract.py b/bazel/gen_extract.py index 2209f3d32427..ce89c7e49a3b 100644 --- a/bazel/gen_extract.py +++ b/bazel/gen_extract.py @@ -6,18 +6,26 @@ import runfiles -def gen_extract(zip_files: List[str], clear_dir_first: Optional[List[str]] = None): +def gen_extract( + zip_files: List[str], + clear_dir_first: Optional[List[str]] = None, + sub_dir: str = "python", +): r = runfiles.Create() _repo_name = "com_github_ray_project_ray" root_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY") if not root_dir: raise ValueError("BUILD_WORKSPACE_DIRECTORY not set") - python_dir = os.path.join(root_dir, "python") + + if sub_dir: + extract_dir = os.path.join(root_dir, sub_dir) + else: + extract_dir = root_dir if clear_dir_first: for d in clear_dir_first: - shutil.rmtree(os.path.join(python_dir, d), ignore_errors=True) + shutil.rmtree(os.path.join(extract_dir, d), ignore_errors=True) for zip_file in zip_files: zip_path = r.Rlocation(_repo_name + "/" + zip_file) @@ -25,4 +33,4 @@ def gen_extract(zip_files: List[str], clear_dir_first: Optional[List[str]] = Non raise ValueError(f"Zip file {zip_file} not found") # Uses unzip; python zipfile does not restore the file permissions correctly. - subprocess.check_call(["unzip", "-q", "-o", zip_path, "-d", python_dir]) + subprocess.check_call(["unzip", "-q", "-o", zip_path, "-d", extract_dir]) diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 7b1fa7fccccd..357673725614 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -292,7 +292,7 @@ filegroup( pkg_files( name = "api_pom_files", srcs = ["io_ray_ray_api_pom"], - prefix = "java/api/", + prefix = "api/", renames = { "io_ray_ray_api_pom.xml": "pom.xml", }, @@ -302,7 +302,7 @@ pkg_files( pkg_files( name = "runtime_pom_files", srcs = ["io_ray_ray_runtime_pom"], - prefix = "java/runtime/", + prefix = "runtime/", renames = { "io_ray_ray_runtime_pom.xml": "pom.xml", }, @@ -312,7 +312,7 @@ pkg_files( pkg_files( name = "test_pom_files", srcs = ["io_ray_ray_test_pom"], - prefix = "java/test/", + prefix = "test/", renames = { "io_ray_ray_test_pom.xml": "pom.xml", }, @@ -322,7 +322,7 @@ pkg_files( pkg_files( name = "performance_test_pom_files", srcs = ["io_ray_ray_performance_test_pom"], - prefix = "java/performance_test/", + prefix = "performance_test/", renames = { "io_ray_ray_performance_test_pom.xml": "pom.xml", }, @@ -332,7 +332,7 @@ pkg_files( pkg_files( name = "serve_pom_files", srcs = ["io_ray_ray_serve_pom"], - prefix = "java/serve/", + prefix = "serve/", renames = { "io_ray_ray_serve_pom.xml": "pom.xml", }, @@ -351,29 +351,22 @@ pkg_zip( visibility = ["//visibility:private"], ) -genrule( - name = "copy_pom_files", - srcs = [ - ":pom_files.zip", - ], - outs = ["copy_pom_files.sum"], - cmd = """ - unzip -q -o $(location :pom_files.zip) -d "$$(pwd)" && - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi - """, - local = 1, - tags = ["no-cache"], +py_binary( + name = "gen_pom_files", + srcs = ["gen_pom_files.py"], + data = [":pom_files.zip"], visibility = ["//visibility:private"], + deps = ["//bazel:gen_extract"], ) # Generates the dependencies needed by maven. genrule( - name = "cp_java_generated_zip", + name = "proto_files", srcs = [ ":all_java_proto", ":serve_java_proto", ], - outs = ["cp_java_generated.zip"], + outs = ["proto_files.zip"], cmd = """ set -euo pipefail @@ -389,40 +382,28 @@ genrule( unzip -q "$$f" -x META-INF/MANIFEST.MF -d "$$tmpdir/java/serve/src/main/java" done - (cd "$$tmpdir"; zip -0 -q -r out.zip "java") - mv "$$tmpdir/out.zip" $@ + (cd "$$tmpdir/java"; zip -0 -q -r out.zip runtime serve) + mv "$$tmpdir/java/out.zip" $@ rm -rf "$$tmpdir" """, visibility = ["//visibility:private"], ) -genrule( - name = "cp_java_generated", - srcs = [ - ":cp_java_generated_zip", - ], - outs = ["cp_java_generated.out"], - cmd = """ - WORK_DIR="$$(pwd)" - - rm -rf "$$WORK_DIR/java/runtime/src/main/java/io/ray/runtime/generated" - rm -rf "$$WORK_DIR/java/serve/src/main/java/io/ray/serve/generated" - - unzip -q -o $(location :cp_java_generated_zip) -d "$$WORK_DIR" - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum $< > $@ ; else sha1sum $< > $@ ; fi - """, - local = 1, - tags = ["no-cache"], +py_binary( + name = "gen_proto_files", + srcs = ["gen_proto_files.py"], + data = [":proto_files.zip"], visibility = ["//visibility:private"], + deps = ["//bazel:gen_extract"], ) # Generates the dependencies needed by maven. genrule( name = "gen_maven_deps", srcs = [ - ":copy_pom_files", - ":cp_java_generated", + ":pom_files.zip", + ":proto_files.zip", ":java_native_deps", ], outs = ["gen_maven_deps.out"], diff --git a/java/build-jar-multiplatform.sh b/java/build-jar-multiplatform.sh index 75cc2638a4de..38baefba6e8b 100755 --- a/java/build-jar-multiplatform.sh +++ b/java/build-jar-multiplatform.sh @@ -34,8 +34,8 @@ build_jars() { mkdir -p "$JAR_DIR" for p in "${JAVA_DIRS_PATH[@]}"; do cd "$WORKSPACE_DIR/$p" - bazel build ":copy_pom_files" - bazel build ":cp_java_generated" + bazel run ":gen_pom_files" + bazel run ":gen_proto_files" if [[ $bazel_build == "true" ]]; then echo "Starting building java native dependencies for $p" bazel build ":gen_maven_deps" diff --git a/java/gen_pom_files.py b/java/gen_pom_files.py new file mode 100644 index 000000000000..b72cb98ca0ab --- /dev/null +++ b/java/gen_pom_files.py @@ -0,0 +1,4 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract(["java/pom_files.zip"], sub_dir="java") diff --git a/java/gen_proto_files.py b/java/gen_proto_files.py new file mode 100644 index 000000000000..55501253425f --- /dev/null +++ b/java/gen_proto_files.py @@ -0,0 +1,11 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + ["java/proto_files.zip"], + clear_dir_first=[ + "runtime/src/main/java/io/ray/runtime/generated", + "serve/src/main/java/io/ray/serve/generated", + ], + sub_dir="java", + ) diff --git a/java/test.sh b/java/test.sh index 9f80350b2f32..fa1864083554 100755 --- a/java/test.sh +++ b/java/test.sh @@ -64,8 +64,8 @@ if [[ ! -d ".git" ]]; then fi echo "Build java maven deps." -bazel build //java:copy_pom_files -bazel build //java:cp_java_generated +bazel run //java:gen_pom_files +bazel run //java:gen_proto_files bazel build //java:gen_maven_deps echo "Build ray core." From 8e3b626b7e2a9f4b9e1c1898db23add107669898 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 5 Aug 2025 18:13:02 -0700 Subject: [PATCH 0512/1566] [release] hardcode debian requirements (#55214) stop pretending that it is configurable. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-anyscale-docker.sh | 1 - release/ray_release/byod/build.py | 2 -- release/ray_release/byod/byod.Dockerfile | 27 +++++++++++++++---- .../byod/requirements_debian_byod.txt | 14 ---------- 4 files changed, 22 insertions(+), 22 deletions(-) delete mode 100644 release/ray_release/byod/requirements_debian_byod.txt diff --git a/ci/build/build-anyscale-docker.sh b/ci/build/build-anyscale-docker.sh index 9605b6418971..3e4e74ef8a0b 100755 --- a/ci/build/build-anyscale-docker.sh +++ b/ci/build/build-anyscale-docker.sh @@ -25,7 +25,6 @@ DOCKER_BUILDKIT=1 docker build \ DOCKER_BUILDKIT=1 docker build \ --build-arg BASE_IMAGE="$DEST_IMAGE" \ --build-arg PIP_REQUIREMENTS="$REQUIREMENTS" \ - --build-arg DEBIAN_REQUIREMENTS=requirements_debian_byod.txt \ -t "$DEST_IMAGE" \ -f release/ray_release/byod/byod.Dockerfile \ release/ray_release/byod diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 77c25bd54021..14e9bb43311a 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -130,8 +130,6 @@ def build_anyscale_base_byod_images(tests: List[Test]) -> None: f"BASE_IMAGE={byod_image}", "--build-arg", f"PIP_REQUIREMENTS={byod_requirements}", - "--build-arg", - "DEBIAN_REQUIREMENTS=requirements_debian_byod.txt", "-t", byod_image, "-f", diff --git a/release/ray_release/byod/byod.Dockerfile b/release/ray_release/byod/byod.Dockerfile index b84fd6c324ee..91a5117575ed 100644 --- a/release/ray_release/byod/byod.Dockerfile +++ b/release/ray_release/byod/byod.Dockerfile @@ -5,15 +5,32 @@ ARG BASE_IMAGE FROM "$BASE_IMAGE" ARG PIP_REQUIREMENTS -ARG DEBIAN_REQUIREMENTS -COPY "$DEBIAN_REQUIREMENTS" . RUN < Date: Tue, 5 Aug 2025 21:47:39 -0700 Subject: [PATCH 0513/1566] [llm] Pass usage_context to vLLM engine config (#55159) ## Why are these changes needed? vLLM only applies some intelligent engine defaults when usage context is provided. If Ray Serve LLM users don't set `max_num_seqs` directly, they get the default value, 128, always, compared with an automatic 1024 when deploying vLLM as a standalone server on H100s. Ref.: ```python # /home/ray/default/work/vllm/vllm/engine/arg_utils.py def _set_default_args_v1(self, usage_context: UsageContext, model_config: ModelConfig) -> None: ... from vllm.usage.usage_lib import UsageContext if device_memory >= 70 * GiB_bytes and "a100" not in device_name: # For GPUs like H100 and MI300x, use larger default values. default_max_num_batched_tokens = { UsageContext.LLM_CLASS: 16384, UsageContext.OPENAI_API_SERVER: 8192, } default_max_num_seqs = { UsageContext.LLM_CLASS: 1024, UsageContext.OPENAI_API_SERVER: 1024, } else: # TODO(woosuk): Tune the default values for other hardware. default_max_num_batched_tokens = { UsageContext.LLM_CLASS: 8192, UsageContext.OPENAI_API_SERVER: 2048, } default_max_num_seqs = { UsageContext.LLM_CLASS: 256, UsageContext.OPENAI_API_SERVER: 256, } ``` ### Test setup: ```python from ray import serve from ray.serve.llm import LLMConfig, build_openai_app llm_config = LLMConfig( model_loading_config=dict( model_id="Qwen/Qwen2.5-0.5B-Instruct", model_source="Qwen/Qwen2.5-0.5B-Instruct", ), deployment_config=dict( autoscaling_config=dict( min_replicas=1, max_replicas=1, ), max_ongoing_requests=16384, ), runtime_env=dict( env_vars={ "VLLM_USE_V1": "1", }, ), ) app = build_openai_app({"llm_configs": [llm_config]}) serve.run(app, blocking=True) ``` ```bash python /home/ray/default/work/vllm/benchmarks/benchmark_serving.py --backend vllm --model Qwen/Qwen2.5-0.5B-Instruct --dataset-name random --random-input-len 256 --random-output-len 128 --random-range-ratio 0.0 --random-prefix-len 0 --append-result --num-prompts 1024 --max-concurrency 256 --result-filename one_replica_ray_serve_llm.json ``` ### Results Before the fix: ``` ============ Serving Benchmark Result ============ Successful requests: 1024 Benchmark duration (s): 19.92 Total input tokens: 261335 Total generated tokens: 130768 Request throughput (req/s): 51.41 Output token throughput (tok/s): 6565.78 Total Token throughput (tok/s): 19687.25 ---------------Time to First Token---------------- Mean TTFT (ms): 2504.46 Median TTFT (ms): 2324.98 P99 TTFT (ms): 4764.13 -----Time per Output Token (excl. 1st token)------ Mean TPOT (ms): 16.68 Median TPOT (ms): 16.33 P99 TPOT (ms): 22.62 ---------------Inter-token Latency---------------- Mean ITL (ms): 18.28 Median ITL (ms): 0.01 P99 ITL (ms): 133.81 ================================================== ``` After: ``` ============ Serving Benchmark Result ============ Successful requests: 1024 Benchmark duration (s): 20.12 Total input tokens: 261335 Total generated tokens: 130763 Request throughput (req/s): 50.90 Output token throughput (tok/s): 6500.41 Total Token throughput (tok/s): 19491.73 ---------------Time to First Token---------------- Mean TTFT (ms): 1539.69 Median TTFT (ms): 1424.46 P99 TTFT (ms): 3058.40 -----Time per Output Token (excl. 1st token)------ Mean TPOT (ms): 23.97 Median TPOT (ms): 25.38 P99 TPOT (ms): 35.18 ---------------Inter-token Latency---------------- Mean ITL (ms): 24.74 Median ITL (ms): 0.01 P99 ITL (ms): 301.16 ``` ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/vllm/vllm_engine.py | 6 +- .../llm/vllm/test_config_congruence.py | 224 ++++++++++++++++++ 2 files changed, 229 insertions(+), 1 deletion(-) create mode 100644 python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_config_congruence.py diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 4dd29eed2cb7..b55c27120179 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -56,7 +56,11 @@ def _get_vllm_engine_config( async_engine_args = vllm.engine.arg_utils.AsyncEngineArgs( **engine_config.get_initialization_kwargs() ) - vllm_engine_config = async_engine_args.create_engine_config() + from vllm.usage.usage_lib import UsageContext + + vllm_engine_config = async_engine_args.create_engine_config( + usage_context=UsageContext.OPENAI_API_SERVER + ) return async_engine_args, vllm_engine_config diff --git a/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_config_congruence.py b/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_config_congruence.py new file mode 100644 index 000000000000..42f6e73fdd7b --- /dev/null +++ b/python/ray/llm/tests/serve/gpu/deployments/llm/vllm/test_config_congruence.py @@ -0,0 +1,224 @@ +"""Test VllmConfig consistency between Ray Serve LLM and vllm serve CLI. + + This test verifies that Ray Serve LLM and vllm serve CLI generate identical + VllmConfig objects for the same model parameters across different GPU architectures. + + 1. Ray Serve LLM: VLLMEngine.start() -> AsyncLLM(vllm_config=...) + 2. vllm serve CLI: build_async_engine_client() -> AsyncLLM.from_vllm_config(vllm_config=...) + + Args: + gpu_type: GPU model name (L4, H100, B200) + capability: DeviceCapability object with compute capability version +""" + +from typing import Any, Dict, Tuple +from unittest.mock import MagicMock, patch + +import pytest +from vllm.config import VllmConfig +from vllm.entrypoints.openai.api_server import build_async_engine_client +from vllm.platforms.interface import DeviceCapability + +from ray.llm._internal.serve.deployments.llm.vllm.vllm_engine import VLLMEngine +from ray.serve.llm import LLMConfig, ModelLoadingConfig +from ray.util import remove_placement_group +from ray.util.placement_group import placement_group_table + +TEST_MODEL = "meta-llama/Llama-3.1-8B-Instruct" +TEST_MAX_MODEL_LEN = 10500 +TEST_TENSOR_PARALLEL_SIZE = 1 +TEST_GPU_MEMORY_UTILIZATION = 0.95 + +GPU_CONFIGS = [ + ("L4", DeviceCapability(major=8, minor=9)), # Ada Lovelace architecture + ("H100", DeviceCapability(major=9, minor=0)), # Hopper architecture + ("B200", DeviceCapability(major=10, minor=0)), # Blackwell architecture +] + +EXPECTED_DIFF_FIELDS = { + "instance_id", +} + +LLM_CONFIG = LLMConfig( + model_loading_config=ModelLoadingConfig( + model_id=TEST_MODEL, + model_source=TEST_MODEL, + ), + deployment_config={ + "autoscaling_config": { + "min_replicas": 1, + "max_replicas": 1, + }, + "max_ongoing_requests": 8192, + }, + runtime_env={ + "env_vars": { + "VLLM_USE_V1": "1", + }, + }, + engine_kwargs={ + "enable_chunked_prefill": True, + "max_model_len": TEST_MAX_MODEL_LEN, + "tensor_parallel_size": TEST_TENSOR_PARALLEL_SIZE, + "gpu_memory_utilization": TEST_GPU_MEMORY_UTILIZATION, + }, +) + + +@pytest.fixture(autouse=True) +def setup_placement_group_cleanup(): + """Automatically clean up placement groups before each test.""" + pg_table = placement_group_table() + for pg_info in pg_table.values(): + if pg_info["state"] in ["CREATED", "CREATING"]: + try: + remove_placement_group(pg_info["placement_group_id"]) + except Exception: + # Placement group may have already been removed + pass + + +def deep_compare(dict1: Any, dict2: Any) -> bool: + if type(dict1) is not type(dict2): + return False + if isinstance(dict1, dict): + if dict1.keys() != dict2.keys(): + return False + return all(deep_compare(dict1[k], dict2[k]) for k in dict1) + elif isinstance(dict1, list): + return set(dict1) == set(dict2) + else: + return dict1 == dict2 + + +async def normalize_parallel_config(config_dict: Dict[str, Any]) -> None: + """Placement groups may differ, that's okay.""" + if "parallel_config" in config_dict: + pc_dict = vars(config_dict["parallel_config"]).copy() + pc_dict.pop("placement_group", None) + config_dict["parallel_config"] = pc_dict + + +def get_config_differences(dict1: Dict[str, Any], dict2: Dict[str, Any]) -> list[str]: + differences = [] + for key in dict1.keys() | dict2.keys(): + if not deep_compare(dict1.get(key), dict2.get(key)): + differences.append(f"{key}: Ray={dict1.get(key)} vs CLI={dict2.get(key)}") + return differences + + +async def get_ray_serve_llm_vllm_config() -> Tuple[Any, str]: + """Get VllmConfig by hooking into Ray Serve LLM's AsyncLLM instantiation.""" + captured_configs = [] + + def mock_async_llm_class(vllm_config: VllmConfig = None, **kwargs): + captured_configs.append(vllm_config) + mock_obj = MagicMock() + mock_obj._dummy_engine = True + return mock_obj + + with patch("vllm.v1.engine.async_llm.AsyncLLM", side_effect=mock_async_llm_class): + try: + engine = VLLMEngine(LLM_CONFIG) + await engine.start() + except Exception: + # Expected since we're mocking the constructor + pass + + if not captured_configs: + raise RuntimeError("Failed to capture VllmConfig from Ray Serve LLM path") + + return captured_configs[-1] + + +async def get_vllm_standalone_config() -> Tuple[Any, str]: + """Get VllmConfig by hooking into vllm serve CLI's AsyncLLM instantiation.""" + captured_configs = [] + + def mock_from_vllm_config(vllm_config=None, **kwargs): + captured_configs.append(vllm_config) + mock_engine = MagicMock() + + async def dummy_reset(): + pass + + mock_engine.reset_mm_cache = MagicMock(return_value=dummy_reset()) + mock_engine.shutdown = MagicMock() + return mock_engine + + # Create CLI args using vLLM's argument parser + from vllm.entrypoints.openai.cli_args import make_arg_parser + from vllm.utils import FlexibleArgumentParser + + parser = make_arg_parser(FlexibleArgumentParser()) + cli_args = parser.parse_args( + [ + "--model", + TEST_MODEL, + "--enable-chunked-prefill", + "--max-model-len", + str(TEST_MAX_MODEL_LEN), + "--tensor-parallel-size", + str(TEST_TENSOR_PARALLEL_SIZE), + "--gpu-memory-utilization", + str(TEST_GPU_MEMORY_UTILIZATION), + "--distributed-executor-backend", + "ray", + "--disable-log-requests", + ] + ) + + with patch( + "vllm.v1.engine.async_llm.AsyncLLM.from_vllm_config", + side_effect=mock_from_vllm_config, + ): + try: + async with build_async_engine_client(cli_args): + pass + except Exception: + # Expected since we're mocking the constructor + pass + + if not captured_configs: + raise RuntimeError("No valid VllmConfig found in captured configurations") + + return captured_configs[-1] + + +@pytest.mark.parametrize("gpu_type,capability", GPU_CONFIGS) +@pytest.mark.asyncio +async def test_vllm_config_ray_serve_vs_cli_comparison( + gpu_type: str, capability: DeviceCapability +): + with patch( + "vllm.platforms.cuda.NvmlCudaPlatform.get_device_capability", + return_value=capability, + ): + ray_vllm_config = await get_ray_serve_llm_vllm_config() + cli_vllm_config = await get_vllm_standalone_config() + + ray_config_dict = { + k: v + for k, v in vars(ray_vllm_config).items() + if k not in EXPECTED_DIFF_FIELDS + } + cli_config_dict = { + k: v + for k, v in vars(cli_vllm_config).items() + if k not in EXPECTED_DIFF_FIELDS + } + + await normalize_parallel_config(ray_config_dict) + await normalize_parallel_config(cli_config_dict) + + if not deep_compare(ray_config_dict, cli_config_dict): + differences = get_config_differences(ray_config_dict, cli_config_dict) + diff_msg = "\n".join(differences) + pytest.fail( + f"VllmConfig objects differ for {gpu_type} GPUs " + f"(compute capability {capability.major}.{capability.minor}):\n{diff_msg}" + ) + + +if __name__ == "__main__": + pytest.main(["-vs", __file__]) From 1fb321fb05e540a3379423ba4323eef1e1e5d190 Mon Sep 17 00:00:00 2001 From: Ping Date: Wed, 6 Aug 2025 13:15:55 +0800 Subject: [PATCH 0514/1566] [Core] Cover cpplint for ray/src/ray/common/scheduling (#54782) Signed-off-by: 400Ping Signed-off-by: Ping Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- src/ray/common/scheduling/cluster_resource_data.cc | 4 +++- src/ray/common/scheduling/cluster_resource_data.h | 8 +++++--- src/ray/common/scheduling/fixed_point.cc | 2 ++ src/ray/common/scheduling/fixed_point.h | 1 + src/ray/common/scheduling/label_selector.cc | 3 +++ src/ray/common/scheduling/label_selector.h | 1 + src/ray/common/scheduling/resource_instance_set.cc | 4 +++- src/ray/common/scheduling/resource_instance_set.h | 5 ++++- src/ray/common/scheduling/resource_set.cc | 3 +++ src/ray/common/scheduling/resource_set.h | 2 ++ src/ray/common/scheduling/scheduling_ids.cc | 3 +++ src/ray/common/scheduling/scheduling_ids.h | 11 ++++++----- 13 files changed, 37 insertions(+), 12 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 69ef98aaef03..a586e806b6bc 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,7 +73,7 @@ repos: hooks: - id: cpplint args: ["--filter=-whitespace/braces,-whitespace/line_length,-build/c++11,-build/c++14,-build/c++17,-readability/braces,-whitespace/indent_namespace,-runtime/int,-runtime/references,-build/include_order"] - files: ^src/ray/(common/cgroup2|common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ + files: ^src/ray/(common/cgroup2|common/scheduling|common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ exclude: | (?x)^( src/ray/raylet/scheduling/.*\.(h|cc)$ | diff --git a/src/ray/common/scheduling/cluster_resource_data.cc b/src/ray/common/scheduling/cluster_resource_data.cc index 43747fdc0058..7555a329879e 100644 --- a/src/ray/common/scheduling/cluster_resource_data.cc +++ b/src/ray/common/scheduling/cluster_resource_data.cc @@ -14,11 +14,13 @@ #include "ray/common/scheduling/cluster_resource_data.h" +#include +#include + #include "ray/common/bundle_spec.h" #include "ray/common/scheduling/resource_set.h" namespace ray { -using namespace ::ray::scheduling; /// Convert a map of resources to a ResourceRequest data structure. ResourceRequest ResourceMapToResourceRequest( diff --git a/src/ray/common/scheduling/cluster_resource_data.h b/src/ray/common/scheduling/cluster_resource_data.h index 4991cb0c518b..cb3b4e8028a4 100644 --- a/src/ray/common/scheduling/cluster_resource_data.h +++ b/src/ray/common/scheduling/cluster_resource_data.h @@ -17,6 +17,8 @@ #include #include #include +#include +#include #include #include "absl/container/flat_hash_map.h" @@ -292,7 +294,7 @@ class TaskResourceInstances { } has_added_resource = true; } - // TODO (chenk008): add custom_resources_ + // TODO(chenk008): add custom_resources_ buffer << "}"; return buffer.str(); } @@ -306,7 +308,7 @@ class TaskResourceInstances { class NodeResources { public: NodeResources() {} - NodeResources(const NodeResourceSet &resources) + explicit NodeResources(const NodeResourceSet &resources) : total(resources), available(resources) {} NodeResourceSet total; NodeResourceSet available; @@ -380,7 +382,7 @@ class NodeResourceInstances { }; struct Node { - Node(const NodeResources &resources) : local_view_(resources) {} + explicit Node(const NodeResources &resources) : local_view_(resources) {} NodeResources *GetMutableLocalView() { local_view_modified_ts_ = absl::Now(); diff --git a/src/ray/common/scheduling/fixed_point.cc b/src/ray/common/scheduling/fixed_point.cc index 19f1d9eb56f4..8b2aca07c9ba 100644 --- a/src/ray/common/scheduling/fixed_point.cc +++ b/src/ray/common/scheduling/fixed_point.cc @@ -15,6 +15,8 @@ #include "ray/common/scheduling/fixed_point.h" #include +#include +#include std::vector FixedPointVectorFromDouble(const std::vector &vector) { std::vector vector_fp(vector.size()); diff --git a/src/ray/common/scheduling/fixed_point.h b/src/ray/common/scheduling/fixed_point.h index ecd59150f1d2..66111a08c488 100644 --- a/src/ray/common/scheduling/fixed_point.h +++ b/src/ray/common/scheduling/fixed_point.h @@ -17,6 +17,7 @@ #include #include #include +#include #include #include "ray/common/constants.h" diff --git a/src/ray/common/scheduling/label_selector.cc b/src/ray/common/scheduling/label_selector.cc index d68b2c0acd58..4b27d25955c3 100644 --- a/src/ray/common/scheduling/label_selector.cc +++ b/src/ray/common/scheduling/label_selector.cc @@ -14,6 +14,9 @@ #include "ray/common/scheduling/label_selector.h" +#include +#include + #include "absl/strings/match.h" #include "ray/util/logging.h" diff --git a/src/ray/common/scheduling/label_selector.h b/src/ray/common/scheduling/label_selector.h index 9fcff02089f8..884d64325975 100644 --- a/src/ray/common/scheduling/label_selector.h +++ b/src/ray/common/scheduling/label_selector.h @@ -15,6 +15,7 @@ #pragma once #include +#include #include #include "absl/container/flat_hash_set.h" diff --git a/src/ray/common/scheduling/resource_instance_set.cc b/src/ray/common/scheduling/resource_instance_set.cc index 3cfffbf2f4be..4765dd7c5c5e 100644 --- a/src/ray/common/scheduling/resource_instance_set.cc +++ b/src/ray/common/scheduling/resource_instance_set.cc @@ -16,7 +16,9 @@ #include #include +#include #include +#include #include "ray/common/bundle_spec.h" #include "ray/util/container_util.h" @@ -97,7 +99,7 @@ NodeResourceInstanceSet &NodeResourceInstanceSet::Set(ResourceID resource_id, resources_[resource_id] = std::move(instances); // Popluate the pg_indexed_resources_map_ - // TODO (myan): The parsing of the resource_id String can be costly and impact the + // TODO(myan): The parsing of the resource_id String can be costly and impact the // task creation throughput if the parting is required every time we allocate // resources for a task and updating the available resources. The current benchmark // shows no observable impact for now. But in the future, ideas of improvement are: diff --git a/src/ray/common/scheduling/resource_instance_set.h b/src/ray/common/scheduling/resource_instance_set.h index 6a152ec2bcb8..61ad263a59fb 100644 --- a/src/ray/common/scheduling/resource_instance_set.h +++ b/src/ray/common/scheduling/resource_instance_set.h @@ -14,6 +14,9 @@ #pragma once +#include +#include + #include "absl/container/flat_hash_map.h" #include "ray/common/scheduling/fixed_point.h" #include "ray/common/scheduling/resource_set.h" @@ -27,7 +30,7 @@ class NodeResourceInstanceSet { NodeResourceInstanceSet(){}; /// Construct a NodeResourceInstanceSet from a node total resources. - NodeResourceInstanceSet(const NodeResourceSet &total); + explicit NodeResourceInstanceSet(const NodeResourceSet &total); /// Check whether a particular node resource exist. bool Has(ResourceID resource_id) const; diff --git a/src/ray/common/scheduling/resource_set.cc b/src/ray/common/scheduling/resource_set.cc index 3f00e8759735..b33e82e97907 100644 --- a/src/ray/common/scheduling/resource_set.cc +++ b/src/ray/common/scheduling/resource_set.cc @@ -15,7 +15,10 @@ #include "ray/common/scheduling/resource_set.h" #include +#include #include +#include +#include #include "ray/util/logging.h" diff --git a/src/ray/common/scheduling/resource_set.h b/src/ray/common/scheduling/resource_set.h index e3118158899a..188617453613 100644 --- a/src/ray/common/scheduling/resource_set.h +++ b/src/ray/common/scheduling/resource_set.h @@ -15,6 +15,8 @@ #pragma once #include +#include +#include #include #include diff --git a/src/ray/common/scheduling/scheduling_ids.cc b/src/ray/common/scheduling/scheduling_ids.cc index 9cd74001c707..d1d128c82f02 100644 --- a/src/ray/common/scheduling/scheduling_ids.cc +++ b/src/ray/common/scheduling/scheduling_ids.cc @@ -14,6 +14,9 @@ #include "ray/common/scheduling/scheduling_ids.h" +#include +#include + namespace ray { int64_t StringIdMap::Get(const std::string &string_id) const { diff --git a/src/ray/common/scheduling/scheduling_ids.h b/src/ray/common/scheduling/scheduling_ids.h index 71fe8fa9a51a..1e8ead6ba118 100644 --- a/src/ray/common/scheduling/scheduling_ids.h +++ b/src/ray/common/scheduling/scheduling_ids.h @@ -16,6 +16,7 @@ #include #include +#include #include #include "absl/container/flat_hash_map.h" @@ -37,11 +38,11 @@ enum PredefinedResourcesEnum { PredefinedResourcesEnum_MAX }; -const std::string kCPU_ResourceLabel = "CPU"; -const std::string kGPU_ResourceLabel = "GPU"; -const std::string kObjectStoreMemory_ResourceLabel = "object_store_memory"; -const std::string kMemory_ResourceLabel = "memory"; -const std::string kBundle_ResourceLabel = "bundle"; +inline constexpr char kCPU_ResourceLabel[] = "CPU"; +inline constexpr char kGPU_ResourceLabel[] = "GPU"; +inline constexpr char kObjectStoreMemory_ResourceLabel[] = "object_store_memory"; +inline constexpr char kMemory_ResourceLabel[] = "memory"; +inline constexpr char kBundle_ResourceLabel[] = "bundle"; /// Class to map string IDs to unique integer IDs and back. class StringIdMap { From d3549cd20d723abc70d858e43a4135ec59791768 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 6 Aug 2025 04:01:42 -0400 Subject: [PATCH 0515/1566] [Data] Adding row-based metrics (#54693) ## Why are these changes needed? Adding row-based metrics to track ingestion/production rates for input/output tasks. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Alexey Kudinkin Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../interfaces/op_runtime_metrics.py | 78 ++++++++++++------- python/ray/data/tests/test_stats.py | 52 +++++++++++-- 2 files changed, 98 insertions(+), 32 deletions(-) diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index 48ddbdfb016a..e9c048fd8e84 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -128,6 +128,7 @@ class RunningTaskInfo: inputs: RefBundle num_outputs: int bytes_outputs: int + num_rows_produced: int start_time: float @@ -246,7 +247,6 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): "Number of input blocks that operator's tasks have finished processing." ), metrics_group=MetricsGroup.INPUTS, - map_only=True, ) bytes_task_inputs_processed: int = metric_field( default=0, @@ -254,13 +254,16 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): "Byte size of input blocks that operator's tasks have finished processing." ), metrics_group=MetricsGroup.INPUTS, - map_only=True, ) bytes_inputs_of_submitted_tasks: int = metric_field( default=0, description="Byte size of input blocks passed to submitted tasks.", metrics_group=MetricsGroup.INPUTS, - map_only=True, + ) + rows_inputs_of_submitted_tasks: int = metric_field( + default=0, + description="Number of rows in the input blocks passed to submitted tasks.", + metrics_group=MetricsGroup.INPUTS, ) # === Outputs-related metrics === @@ -268,19 +271,16 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): default=0, description="Number of output blocks generated by tasks.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) bytes_task_outputs_generated: int = metric_field( default=0, description="Byte size of output blocks generated by tasks.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) rows_task_outputs_generated: int = metric_field( default=0, description="Number of output rows generated by tasks.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) row_outputs_taken: int = metric_field( default=0, @@ -310,15 +310,18 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): default=0, description="Number of generated output blocks that are from finished tasks.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) bytes_outputs_of_finished_tasks: int = metric_field( default=0, description=( - "Byte size of generated output blocks that are from finished tasks." + "Total byte size of generated output blocks produced by finished tasks." ), metrics_group=MetricsGroup.OUTPUTS, - map_only=True, + ) + rows_outputs_of_finished_tasks: int = metric_field( + default=0, + description=("Number of rows generated by finished tasks."), + metrics_group=MetricsGroup.OUTPUTS, ) # === Tasks-related metrics === @@ -326,37 +329,31 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): default=0, description="Number of submitted tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) num_tasks_running: int = metric_field( default=0, description="Number of running tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) num_tasks_have_outputs: int = metric_field( default=0, description="Number of tasks that already have output.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) num_tasks_finished: int = metric_field( default=0, description="Number of finished tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) num_tasks_failed: int = metric_field( default=0, description="Number of failed tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) block_generation_time: float = metric_field( default=0, description="Time spent generating blocks in tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) task_submission_backpressure_time: float = metric_field( default=0, @@ -390,7 +387,7 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): 5000.0, ] - task_completion_time: float = metric_field( + mean_task_completion_time: float = metric_field( default=0, description="Time spent running tasks to completion.", metrics_group=MetricsGroup.TASKS, @@ -430,13 +427,11 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): default=0, description="Byte size of freed memory in object store.", metrics_group=MetricsGroup.OBJECT_STORE_MEMORY, - map_only=True, ) obj_store_mem_spilled: int = metric_field( default=0, description="Byte size of spilled memory in object store.", metrics_group=MetricsGroup.OBJECT_STORE_MEMORY, - map_only=True, ) obj_store_mem_used: int = metric_field( default=0, @@ -506,7 +501,6 @@ def as_dict(self, skip_internal_metrics: bool = False) -> Dict[str, Any]: @metric_property( description="Average number of blocks generated per task.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) def average_num_outputs_per_task(self) -> Optional[float]: """Average number of output blocks per task, or None if no task has finished.""" @@ -518,7 +512,6 @@ def average_num_outputs_per_task(self) -> Optional[float]: @metric_property( description="Average size of task output in bytes.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) def average_bytes_per_output(self) -> Optional[float]: """Average size in bytes of output blocks.""" @@ -546,7 +539,6 @@ def obj_store_mem_internal_outqueue(self) -> int: @metric_property( description="Byte size of input blocks used by pending tasks.", metrics_group=MetricsGroup.OBJECT_STORE_MEMORY, - map_only=True, ) def obj_store_mem_pending_task_inputs(self) -> int: return self._pending_task_inputs.estimate_size_bytes() @@ -601,7 +593,6 @@ def obj_store_mem_max_pending_output_per_task(self) -> Optional[float]: @metric_property( description="Average size of task inputs in bytes.", metrics_group=MetricsGroup.INPUTS, - map_only=True, ) def average_bytes_inputs_per_task(self) -> Optional[float]: """Average size in bytes of ref bundles passed to tasks, or ``None`` if no @@ -611,10 +602,21 @@ def average_bytes_inputs_per_task(self) -> Optional[float]: else: return self.bytes_inputs_of_submitted_tasks / self.num_tasks_submitted + @metric_property( + description="Average number of rows passed in to the task.", + metrics_group=MetricsGroup.INPUTS, + ) + def average_rows_inputs_per_task(self) -> Optional[float]: + """Average number of rows in input blocks per task, + or None if no task has been submitted.""" + if self.num_tasks_submitted == 0: + return None + else: + return self.rows_inputs_of_submitted_tasks / self.num_tasks_submitted + @metric_property( description="Average total output size of task in bytes.", metrics_group=MetricsGroup.OUTPUTS, - map_only=True, ) def average_bytes_outputs_per_task(self) -> Optional[float]: """Average size in bytes of output blocks per task, @@ -624,10 +626,21 @@ def average_bytes_outputs_per_task(self) -> Optional[float]: else: return self.bytes_outputs_of_finished_tasks / self.num_tasks_finished + @metric_property( + description="Average number of rows produced per task.", + metrics_group=MetricsGroup.OUTPUTS, + ) + def average_rows_outputs_per_task(self) -> Optional[float]: + """Average number of rows in output blocks per task, + or None if no task has finished.""" + if self.num_tasks_finished == 0: + return None + else: + return self.rows_outputs_of_finished_tasks / self.num_tasks_finished + @metric_property( description="Average USS usage of tasks.", metrics_group=MetricsGroup.TASKS, - map_only=True, ) def average_max_uss_per_task(self) -> Optional[float]: """Average max USS usage of tasks.""" @@ -725,24 +738,33 @@ def on_task_submitted(self, task_index: int, inputs: RefBundle): self.num_tasks_submitted += 1 self.num_tasks_running += 1 self.bytes_inputs_of_submitted_tasks += inputs.size_bytes() + self.rows_inputs_of_submitted_tasks += inputs.num_rows() or 0 self._pending_task_inputs.add(inputs) self._running_tasks[task_index] = RunningTaskInfo( - inputs, 0, 0, time.perf_counter() + inputs=inputs, + num_outputs=0, + bytes_outputs=0, + num_rows_produced=0, + start_time=time.perf_counter(), ) def on_task_output_generated(self, task_index: int, output: RefBundle): """Callback when a new task generates an output.""" num_outputs = len(output) output_bytes = output.size_bytes() + num_rows_produced = output.num_rows() self.num_task_outputs_generated += num_outputs self.bytes_task_outputs_generated += output_bytes + self.rows_task_outputs_generated += num_rows_produced task_info = self._running_tasks[task_index] if task_info.num_outputs == 0: self.num_tasks_have_outputs += 1 + task_info.num_outputs += num_outputs task_info.bytes_outputs += output_bytes + task_info.num_rows_produced += num_rows_produced for block_ref, meta in output.blocks: assert ( @@ -750,7 +772,6 @@ def on_task_output_generated(self, task_index: int, output: RefBundle): ) self.block_generation_time += meta.exec_stats.wall_time_s assert meta.num_rows is not None - self.rows_task_outputs_generated += meta.num_rows trace_allocation(block_ref, "operator_output") if meta.exec_stats.max_uss_bytes is not None: if self._cum_max_uss_bytes is None: @@ -775,11 +796,14 @@ def on_task_finished(self, task_index: int, exception: Optional[Exception]): self.num_tasks_failed += 1 task_info = self._running_tasks[task_index] + self.num_outputs_of_finished_tasks += task_info.num_outputs self.bytes_outputs_of_finished_tasks += task_info.bytes_outputs + self.rows_outputs_of_finished_tasks += task_info.num_rows_produced + task_time_delta = time.perf_counter() - task_info.start_time self._op_task_duration_stats.add_duration(task_time_delta) - self.task_completion_time = task_time_delta + self.mean_task_completion_time = self._op_task_duration_stats.mean() inputs = self._running_tasks[task_index].inputs self.num_task_inputs_processed += len(inputs) total_input_size = inputs.size_bytes() diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index c71b81f590d8..23953efe059b 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -78,7 +78,9 @@ def gen_expected_metrics( "'obj_store_mem_internal_outqueue': Z", "'obj_store_mem_pending_task_inputs': Z", "'average_bytes_inputs_per_task': N", + "'average_rows_inputs_per_task': N", "'average_bytes_outputs_per_task': N", + "'average_rows_outputs_per_task': N", "'average_max_uss_per_task': H", "'num_inputs_received': N", "'num_row_inputs_received': N", @@ -86,6 +88,7 @@ def gen_expected_metrics( "'num_task_inputs_processed': N", "'bytes_task_inputs_processed': N", "'bytes_inputs_of_submitted_tasks': N", + "'rows_inputs_of_submitted_tasks': N", "'num_task_outputs_generated': N", "'bytes_task_outputs_generated': N", "'rows_task_outputs_generated': N", @@ -95,6 +98,7 @@ def gen_expected_metrics( "'bytes_outputs_taken': N", "'num_outputs_of_finished_tasks': N", "'bytes_outputs_of_finished_tasks': N", + "'rows_outputs_of_finished_tasks': N", "'num_tasks_submitted': N", "'num_tasks_running': Z", "'num_tasks_have_outputs': N", @@ -109,7 +113,7 @@ def gen_expected_metrics( "'task_output_backpressure_time': " f"{'N' if task_output_backpressure else 'Z'}" ), - ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ("'mean_task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), "'num_alive_actors': Z", "'num_restarting_actors': Z", "'num_pending_actors': Z", @@ -123,15 +127,39 @@ def gen_expected_metrics( ] else: metrics = [ + "'average_num_outputs_per_task': None", + "'average_bytes_per_output': None", "'obj_store_mem_internal_inqueue': Z", "'obj_store_mem_internal_outqueue': Z", + "'obj_store_mem_pending_task_inputs': Z", + "'average_bytes_inputs_per_task': None", + "'average_rows_inputs_per_task': None", + "'average_bytes_outputs_per_task': None", + "'average_rows_outputs_per_task': None", + "'average_max_uss_per_task': H", "'num_inputs_received': N", "'num_row_inputs_received': N", "'bytes_inputs_received': N", + "'num_task_inputs_processed': Z", + "'bytes_task_inputs_processed': Z", + "'bytes_inputs_of_submitted_tasks': Z", + "'rows_inputs_of_submitted_tasks': Z", + "'num_task_outputs_generated': Z", + "'bytes_task_outputs_generated': Z", + "'rows_task_outputs_generated': Z", "'row_outputs_taken': N", "'block_outputs_taken': N", "'num_outputs_taken': N", "'bytes_outputs_taken': N", + "'num_outputs_of_finished_tasks': Z", + "'bytes_outputs_of_finished_tasks': Z", + "'rows_outputs_of_finished_tasks': Z", + "'num_tasks_submitted': Z", + "'num_tasks_running': Z", + "'num_tasks_have_outputs': Z", + "'num_tasks_finished': Z", + "'num_tasks_failed': Z", + "'block_generation_time': Z", ( "'task_submission_backpressure_time': " f"{'N' if task_backpressure else 'Z'}" @@ -140,12 +168,14 @@ def gen_expected_metrics( "'task_output_backpressure_time': " f"{'N' if task_output_backpressure else 'Z'}" ), - ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ("'mean_task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), "'num_alive_actors': Z", "'num_restarting_actors': Z", "'num_pending_actors': Z", "'obj_store_mem_internal_inqueue_blocks': Z", "'obj_store_mem_internal_outqueue_blocks': Z", + "'obj_store_mem_freed': Z", + "'obj_store_mem_spilled': Z", "'obj_store_mem_used': A", "'cpu_usage': Z", "'gpu_usage': Z", @@ -612,7 +642,9 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " obj_store_mem_internal_outqueue: Z,\n" " obj_store_mem_pending_task_inputs: Z,\n" " average_bytes_inputs_per_task: N,\n" + " average_rows_inputs_per_task: N,\n" " average_bytes_outputs_per_task: N,\n" + " average_rows_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" " num_row_inputs_received: N,\n" @@ -620,6 +652,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" " bytes_inputs_of_submitted_tasks: N,\n" + " rows_inputs_of_submitted_tasks: N,\n" " num_task_outputs_generated: N,\n" " bytes_task_outputs_generated: N,\n" " rows_task_outputs_generated: N,\n" @@ -629,6 +662,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " bytes_outputs_taken: N,\n" " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" + " rows_outputs_of_finished_tasks: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -637,7 +671,7 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " task_completion_time: N,\n" + " mean_task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" @@ -735,7 +769,9 @@ def check_stats(): " obj_store_mem_internal_outqueue: Z,\n" " obj_store_mem_pending_task_inputs: Z,\n" " average_bytes_inputs_per_task: N,\n" + " average_rows_inputs_per_task: N,\n" " average_bytes_outputs_per_task: N,\n" + " average_rows_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" " num_row_inputs_received: N,\n" @@ -743,6 +779,7 @@ def check_stats(): " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" " bytes_inputs_of_submitted_tasks: N,\n" + " rows_inputs_of_submitted_tasks: N,\n" " num_task_outputs_generated: N,\n" " bytes_task_outputs_generated: N,\n" " rows_task_outputs_generated: N,\n" @@ -752,6 +789,7 @@ def check_stats(): " bytes_outputs_taken: N,\n" " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" + " rows_outputs_of_finished_tasks: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -760,7 +798,7 @@ def check_stats(): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " task_completion_time: N,\n" + " mean_task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" @@ -813,7 +851,9 @@ def check_stats(): " obj_store_mem_internal_outqueue: Z,\n" " obj_store_mem_pending_task_inputs: Z,\n" " average_bytes_inputs_per_task: N,\n" + " average_rows_inputs_per_task: N,\n" " average_bytes_outputs_per_task: N,\n" + " average_rows_outputs_per_task: N,\n" " average_max_uss_per_task: H,\n" " num_inputs_received: N,\n" " num_row_inputs_received: N,\n" @@ -821,6 +861,7 @@ def check_stats(): " num_task_inputs_processed: N,\n" " bytes_task_inputs_processed: N,\n" " bytes_inputs_of_submitted_tasks: N,\n" + " rows_inputs_of_submitted_tasks: N,\n" " num_task_outputs_generated: N,\n" " bytes_task_outputs_generated: N,\n" " rows_task_outputs_generated: N,\n" @@ -830,6 +871,7 @@ def check_stats(): " bytes_outputs_taken: N,\n" " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" + " rows_outputs_of_finished_tasks: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -838,7 +880,7 @@ def check_stats(): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " task_completion_time: N,\n" + " mean_task_completion_time: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" From 3951f9d18a6bb076d9d4f546d34b537e2ee459dd Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Wed, 6 Aug 2025 17:42:37 +0530 Subject: [PATCH 0516/1566] [core] fix test_aggregator_agent_profile_events_not_exposed test case (#55287) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The status field is no longer included in AddEventsReply. https://github.com/ray-project/ray/pull/55186 updated all existing tests to reflect this change. However, `test_aggregator_agent_profile_events_not_exposed` cases was missed because it was added in a more recent [commit](https://github.com/ray-project/ray/pull/55089) that wasn’t present in the base of that PR. This PR updates the missed test case to align with the latest AddEventsReply behavior. Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../modules/aggregator/tests/test_aggregator_agent.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index a47f59d10e43..312efbc9cc4f 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -361,8 +361,7 @@ def test_aggregator_agent_profile_events_not_exposed( ) reply = stub.AddEvents(request) - assert reply.status.code == 0 - assert reply.status.message == "all events received" + assert reply is not None # Wait for exactly one event to be received (the TASK_DEFINITION_EVENT) wait_for_condition(lambda: len(httpserver.log) == 1) From 40642cfb15ad7421b0f6270a69df4c1e2c80215d Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 6 Aug 2025 09:08:06 -0500 Subject: [PATCH 0517/1566] [core] Rename `FetchOrReconstruct` to `AsyncGetObjects` (#55101) Owner workers handle reconstruction now, so the name is very misleading. I've also removed the vestigial `fetch_only` flag, which had no effect. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 1 - .../store_provider/plasma_store_provider.cc | 32 ++++++---------- .../store_provider/plasma_store_provider.h | 9 +---- src/ray/flatbuffers/node_manager.fbs | 12 +++--- src/ray/ipc/client_connection.h | 1 - src/ray/raylet/node_manager.cc | 38 +++++-------------- src/ray/raylet/node_manager.h | 6 +-- src/ray/raylet_client/BUILD.bazel | 1 + src/ray/raylet_client/raylet_client.cc | 11 +++--- src/ray/raylet_client/raylet_client.h | 17 ++++----- src/ray/raylet_client/raylet_connection.h | 1 + 11 files changed, 46 insertions(+), 83 deletions(-) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 95a882db82d8..1c1b8ef4db9d 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -547,7 +547,6 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/object_manager/plasma:plasma_client", - "//src/ray/protobuf:gcs_cc_proto", "//src/ray/raylet_client:raylet_client_lib", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 6cabbdc780be..dcf6e223b2c3 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -175,17 +175,14 @@ Status CoreWorkerPlasmaStoreProvider::Release(const ObjectID &object_id) { return store_client_->Release(object_id); } -Status CoreWorkerPlasmaStoreProvider::FetchAndGetFromPlasmaStore( +Status CoreWorkerPlasmaStoreProvider::PullObjectsAndGetFromPlasmaStore( absl::flat_hash_set &remaining, const std::vector &batch_ids, int64_t timeout_ms, - bool fetch_only, - const TaskID &task_id, absl::flat_hash_map> *results, bool *got_exception) { const auto owner_addresses = reference_counter_.GetOwnerAddresses(batch_ids); - RAY_RETURN_NOT_OK( - raylet_client_->FetchOrReconstruct(batch_ids, owner_addresses, fetch_only)); + RAY_RETURN_NOT_OK(raylet_client_->AsyncGetObjects(batch_ids, owner_addresses)); std::vector plasma_results; RAY_RETURN_NOT_OK(store_client_->Get(batch_ids, @@ -287,7 +284,7 @@ Status CoreWorkerPlasmaStoreProvider::Get( std::vector batch_ids; absl::flat_hash_set remaining(object_ids.begin(), object_ids.end()); - // First, attempt to fetch all of the required objects once without reconstructing. + // Send initial requests to pull all objects in parallel. std::vector id_vector(object_ids.begin(), object_ids.end()); int64_t total_size = static_cast(object_ids.size()); for (int64_t start = 0; start < total_size; start += batch_size) { @@ -296,14 +293,12 @@ Status CoreWorkerPlasmaStoreProvider::Get( batch_ids.push_back(id_vector[start + i]); } RAY_RETURN_NOT_OK( - FetchAndGetFromPlasmaStore(remaining, - batch_ids, - /*timeout_ms=*/0, - // Mutable objects must be local before ray.get. - /*fetch_only=*/true, - ctx.GetCurrentTaskID(), - results, - got_exception)); + PullObjectsAndGetFromPlasmaStore(remaining, + batch_ids, + /*timeout_ms=*/0, + // Mutable objects must be local before ray.get. + results, + got_exception)); } // If all objects were fetched already, return. Note that we always need to @@ -338,13 +333,8 @@ Status CoreWorkerPlasmaStoreProvider::Get( } size_t previous_size = remaining.size(); - RAY_RETURN_NOT_OK(FetchAndGetFromPlasmaStore(remaining, - batch_ids, - batch_timeout, - /*fetch_only=*/false, - ctx.GetCurrentTaskID(), - results, - got_exception)); + RAY_RETURN_NOT_OK(PullObjectsAndGetFromPlasmaStore( + remaining, batch_ids, batch_timeout, results, got_exception)); should_break = timed_out || *got_exception; if ((previous_size - remaining.size()) < batch_ids.size()) { diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index dbf2c778f4f2..43980ec5e5e8 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -203,28 +203,23 @@ class CoreWorkerPlasmaStoreProvider { std::shared_ptr &store_client() { return store_client_; } private: - /// Ask the raylet to fetch a set of objects and then attempt to get them + /// Ask the raylet to pull a set of objects and then attempt to get them /// from the local plasma store. Successfully fetched objects will be removed /// from the input set of remaining IDs and added to the results map. /// /// \param[in/out] remaining IDs of the remaining objects to get. /// \param[in] batch_ids IDs of the objects to get. /// \param[in] timeout_ms Timeout in milliseconds. - /// \param[in] fetch_only Whether the raylet should only fetch or also attempt to - /// reconstruct objects. - /// \param[in] task_id The current TaskID. /// \param[out] results Map of objects to write results into. This method will only /// add to this map, not clear or remove from it, so the caller can pass in a non-empty /// map. /// \param[out] got_exception Set to true if any of the fetched objects contained an /// exception. /// \return Status. - Status FetchAndGetFromPlasmaStore( + Status PullObjectsAndGetFromPlasmaStore( absl::flat_hash_set &remaining, const std::vector &batch_ids, int64_t timeout_ms, - bool fetch_only, - const TaskID &task_id, absl::flat_hash_map> *results, bool *got_exception); diff --git a/src/ray/flatbuffers/node_manager.fbs b/src/ray/flatbuffers/node_manager.fbs index 5efb0412396b..53e9792cacd2 100644 --- a/src/ray/flatbuffers/node_manager.fbs +++ b/src/ray/flatbuffers/node_manager.fbs @@ -46,9 +46,9 @@ enum MessageType:int { // Tell a worker to execute a task. This is sent from a raylet to a // worker. ExecuteTask, - // Reconstruct or fetch possibly lost objects. This is sent from a worker to + // Request the Raylet to pull a set of objects to the local node. // a raylet. - FetchOrReconstruct, + AsyncGetObjectsRequest, // Cancel outstanding get requests from the worker. CancelGetRequest, // Notify the current worker is blocked. This is only used by direct task calls; @@ -168,13 +168,11 @@ table Address { worker_id: string; } -table FetchOrReconstruct { - // List of object IDs of the objects that we want to reconstruct or fetch. +table AsyncGetObjectsRequest { + // Object IDs that we want the Raylet to pull locally. object_ids: [string]; - // The RPC addresses of the workers that own the objects in object_ids. + // Owner RPC addresses for the objects in the object_ids list. owner_addresses: [Address]; - // Do we only want to fetch the objects or also reconstruct them? - fetch_only: bool; } table CancelGetRequest { diff --git a/src/ray/ipc/client_connection.h b/src/ray/ipc/client_connection.h index 5d8b51711357..86f7788ba73c 100644 --- a/src/ray/ipc/client_connection.h +++ b/src/ray/ipc/client_connection.h @@ -28,7 +28,6 @@ #include "ray/common/common_protocol.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/flatbuffers/node_manager_generated.h" namespace ray { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 3c465774fe3e..b71971a78370 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1034,8 +1034,8 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & // because it's already disconnected. return; } break; - case protocol::MessageType::FetchOrReconstruct: { - ProcessFetchOrReconstructMessage(client, message_data); + case protocol::MessageType::AsyncGetObjectsRequest: { + HandleAsyncGetObjectsRequest(client, message_data); } break; case protocol::MessageType::NotifyDirectCallTaskBlocked: { HandleDirectCallTaskBlocked(registered_worker); @@ -1465,34 +1465,16 @@ void NodeManager::ProcessDisconnectClientMessage( creation_task_exception.get()); } -void NodeManager::ProcessFetchOrReconstructMessage( +void NodeManager::HandleAsyncGetObjectsRequest( const std::shared_ptr &client, const uint8_t *message_data) { - auto message = flatbuffers::GetRoot(message_data); + auto request = flatbuffers::GetRoot(message_data); const auto refs = - FlatbufferToObjectReference(*message->object_ids(), *message->owner_addresses()); - // TODO(ekl) we should be able to remove the fetch only flag along with the legacy - // non-direct call support. - if (message->fetch_only()) { - std::shared_ptr worker = worker_pool_.GetRegisteredWorker(client); - if (!worker) { - worker = worker_pool_.GetRegisteredDriver(client); - } - // Fetch requests can get re-ordered after the worker finishes, so make sure to - // check the worker is still assigned a task to avoid leaks. - if (worker && !worker->GetAssignedTaskId().IsNil()) { - // This will start a fetch for the objects that gets canceled once the - // objects are local, or if the worker dies. - dependency_manager_.StartOrUpdateGetRequest(worker->WorkerId(), refs); - } - } else { - // The values are needed. Add all requested objects to the list to - // subscribe to in the task dependency manager. These objects will be - // pulled from remote node managers. If an object's owner dies, an error - // will be stored as the object's value. - AsyncGetOrWait(client, - refs, - /*is_get_request=*/true); - } + FlatbufferToObjectReference(*request->object_ids(), *request->owner_addresses()); + + // Asynchronously pull all requested objects to the local node. + AsyncGetOrWait(client, + refs, + /*is_get_request=*/true); } void NodeManager::ProcessWaitRequestMessage( diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 3b682b804fde..2d157751c045 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -492,13 +492,13 @@ class NodeManager : public rpc::NodeManagerServiceHandler, void ProcessDisconnectClientMessage(const std::shared_ptr &client, const uint8_t *message_data); - /// Process client message of FetchOrReconstruct + /// Handle client request AsyncGetObjects. /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. /// \return Void. - void ProcessFetchOrReconstructMessage(const std::shared_ptr &client, - const uint8_t *message_data); + void HandleAsyncGetObjectsRequest(const std::shared_ptr &client, + const uint8_t *message_data); /// Process client message of WaitRequest /// diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 71bdc45650e8..eebac476152b 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -11,6 +11,7 @@ ray_cc_library( hdrs = ["raylet_connection.h"], deps = [ "//src/ray/common:asio", + "//src/ray/flatbuffers:node_manager_generated", "//src/ray/ipc:client_connection", ], ) diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 528fbc27795b..58a1f348df3b 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -135,16 +135,15 @@ Status RayletClient::ActorCreationTaskDone() { return conn_->WriteMessage(MessageType::ActorCreationTaskDone); } -Status RayletClient::FetchOrReconstruct(const std::vector &object_ids, - const std::vector &owner_addresses, - bool fetch_only) { +Status RayletClient::AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) { RAY_CHECK(object_ids.size() == owner_addresses.size()); flatbuffers::FlatBufferBuilder fbb; auto object_ids_message = to_flatbuf(fbb, object_ids); - auto message = protocol::CreateFetchOrReconstruct( - fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses), fetch_only); + auto message = protocol::CreateAsyncGetObjectsRequest( + fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses)); fbb.Finish(message); - return conn_->WriteMessage(MessageType::FetchOrReconstruct, &fbb); + return conn_->WriteMessage(MessageType::AsyncGetObjectsRequest, &fbb); } Status RayletClient::CancelGetRequest() { diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 8b41f5f48eda..4c7374cba71b 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -288,16 +288,15 @@ class RayletClient : public RayletClientInterface { /// \return ray::Status. ray::Status ActorCreationTaskDone(); - /// Tell the raylet to reconstruct or fetch objects. + /// Ask the Raylet to pull a set of objects to the local node. /// - /// \param object_ids The IDs of the objects to fetch. - /// \param owner_addresses The addresses of the workers that own the objects. - /// \param fetch_only Only fetch objects, do not reconstruct them. - /// \param current_task_id The task that needs the objects. - /// \return int 0 means correct, other numbers mean error. - ray::Status FetchOrReconstruct(const std::vector &object_ids, - const std::vector &owner_addresses, - bool fetch_only); + /// This request is asynchronous. + /// + /// \param object_ids The IDs of the objects to pull. + /// \param owner_addresses The owner addresses of the objects. + /// \return ray::Status. + ray::Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses); /// Tell the Raylet to cancel the get request from this worker. /// diff --git a/src/ray/raylet_client/raylet_connection.h b/src/ray/raylet_client/raylet_connection.h index f62bb29c60b0..bcebe3ac1f6e 100644 --- a/src/ray/raylet_client/raylet_connection.h +++ b/src/ray/raylet_client/raylet_connection.h @@ -21,6 +21,7 @@ #include #include "ray/common/asio/instrumented_io_context.h" +#include "ray/flatbuffers/node_manager_generated.h" #include "ray/ipc/client_connection.h" namespace ray::raylet { From 62833f4b1db95b2d14ff3a2776ed5ff4936d8378 Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 6 Aug 2025 23:59:26 +0800 Subject: [PATCH 0518/1566] [KubeRay] Add instructions to run distributed Ray Debugger in KubeRay by Code Server (#55007) Signed-off-by: Potato Signed-off-by: Douglas Strodtman --- .../ray-distributed-debugger.rst | 47 ++++++++++++++++++- 1 file changed, 46 insertions(+), 1 deletion(-) diff --git a/doc/source/ray-observability/ray-distributed-debugger.rst b/doc/source/ray-observability/ray-distributed-debugger.rst index 742e1d4b339c..ca1a545deb7b 100644 --- a/doc/source/ray-observability/ray-distributed-debugger.rst +++ b/doc/source/ray-observability/ray-distributed-debugger.rst @@ -44,7 +44,7 @@ Start a Ray cluster Run `ray start --head` to start a local Ray cluster. - .. tab-item:: KubeRay + .. tab-item:: KubeRay (SSH) Follow the instructions in :doc:`the RayCluster quickstart <../cluster/kubernetes/getting-started/raycluster-quick-start>` to set up a cluster. You need to connect VS Code to the cluster. For example, add the following to the `ray-head` container and make sure `sshd` is running in the `ray-head` container. @@ -77,6 +77,51 @@ Start a Ray cluster After checking that `ssh -p 2222 ray@localhost` works, set up VS Code as described in the `VS Code SSH documentation `_. + .. tab-item:: KubeRay (Code Server, Community Maintained) + + Follow the instructions in :doc:`the RayCluster quickstart <../cluster/kubernetes/getting-started/raycluster-quick-start>` to set up a cluster. + + A simpler approach is to run a browser-based VS Code (Code Server) as a sidecar container in the Ray head pod. This eliminates network connectivity issues by placing VS Code inside the Kubernetes cluster. + + Add a sidecar container to the Ray head pod and configure a shared volume. Modify your Ray head pod template with the following additions: + + .. code-block:: yaml + + # In your RayCluster YAML, under spec.headGroupSpec.template.spec + containers: + - name: ray-head + # ... your existing ray-head configuration ... + # Add this volumeMount: + volumeMounts: + - mountPath: /tmp/ray + name: shared-ray-volume + # Add this sidecar container: + - name: vscode-debugger + image: docker.io/onesizefitsquorum/code-server-with-ray-distributed-debugger:4.101.2 + ports: + - containerPort: 8443 + volumeMounts: + - mountPath: /tmp/ray + name: shared-ray-volume + env: + # Specifies the default directory that opens when VSCode Web starts, pointing to the workspace containing the Ray runtime resources. + - name: DEFAULT_WORKSPACE + value: "/tmp/ray/session_latest/runtime_resources" + # Add this volume at the same level as `containers`: + volumes: + - name: shared-ray-volume + emptyDir: {} + + After the Ray cluster is running, forward the Code Server port: + + .. code-block:: bash + + kubectl port-forward pod/ 8443:8443 + + Access VS Code in your browser at http://127.0.0.1:8443 and use the Ray Distributed Debugger extension to connect to http://127.0.0.1:8265. + + For more details, see the `Code Server with Ray Distributed Debugger `_ project. + Register the cluster ~~~~~~~~~~~~~~~~~~~~ From 8ab127485f6c575d2126b7d8697a0618bda619a2 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 6 Aug 2025 10:50:11 -0700 Subject: [PATCH 0519/1566] [core] Removing unnecessary timeout in core_worker initialization (#55234) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_rpc_proxy.h | 19 +++++++++---------- src/ray/rpc/server_call.h | 8 +++++++- 2 files changed, 16 insertions(+), 11 deletions(-) diff --git a/src/ray/core_worker/core_worker_rpc_proxy.h b/src/ray/core_worker/core_worker_rpc_proxy.h index 755c27dee663..956bf2c4c4cd 100644 --- a/src/ray/core_worker/core_worker_rpc_proxy.h +++ b/src/ray/core_worker/core_worker_rpc_proxy.h @@ -72,22 +72,21 @@ class CoreWorkerServiceHandlerProxy : public rpc::CoreWorkerServiceHandler { /// Wait until the worker is initialized. void WaitUntilInitialized() override { - // TODO(joshlee): investigate and remove the 1 second timeout - absl::MutexLock lock(&core_worker_mutex_); - while (core_worker_ == nullptr) { - core_worker_cv_.WaitWithTimeout(&core_worker_mutex_, absl::Seconds(1)); - } + std::unique_lock lock(core_worker_mutex_); + core_worker_cv_.wait(lock, [this]() { return this->core_worker_ != nullptr; }); } void SetCoreWorker(CoreWorker *core_worker) { - absl::MutexLock lock(&core_worker_mutex_); - core_worker_ = core_worker; - core_worker_cv_.SignalAll(); + { + std::scoped_lock lock(core_worker_mutex_); + core_worker_ = core_worker; + } + core_worker_cv_.notify_all(); } private: - absl::Mutex core_worker_mutex_; - absl::CondVar core_worker_cv_; + std::mutex core_worker_mutex_; + std::condition_variable core_worker_cv_; CoreWorker *core_worker_ = nullptr; }; diff --git a/src/ray/rpc/server_call.h b/src/ray/rpc/server_call.h index 5cc2e909f04d..a2e7cd2ceea5 100644 --- a/src/ray/rpc/server_call.h +++ b/src/ray/rpc/server_call.h @@ -256,7 +256,10 @@ class ServerCallImpl : public ServerCall { void HandleRequestImpl(bool auth_success) { if constexpr (std::is_base_of_v) { - service_handler_.WaitUntilInitialized(); + if (!service_handler_initialized_) { + service_handler_.WaitUntilInitialized(); + service_handler_initialized_ = true; + } } state_ = ServerCallState::PROCESSING; // NOTE(hchen): This `factory` local variable is needed. Because `SendReply` runs in @@ -355,6 +358,9 @@ class ServerCallImpl : public ServerCall { /// The service handler that handles the request. ServiceHandler &service_handler_; + // A boolean to track if the service handler has been initialized. + bool service_handler_initialized_ = false; + /// Pointer to the service handler function. HandleRequestFunction handle_request_function_; From e28e50d2c785ed308ce74ca3d0e21b7f9715c551 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 6 Aug 2025 11:30:47 -0700 Subject: [PATCH 0520/1566] [core] Delete dead ipc flatbuffer definitions (#55289) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/actor_creator.h | 1 - src/ray/core_worker/core_worker.h | 4 -- src/ray/core_worker/core_worker_process.h | 1 - .../memory_store/memory_store.h | 2 - src/ray/core_worker/task_manager_interface.h | 1 - .../transport/actor_task_submitter.h | 2 - src/ray/flatbuffers/node_manager.fbs | 51 ------------------- src/ray/object_manager/object_buffer_pool.h | 1 - src/ray/object_manager/object_manager.h | 4 -- src/ray/raylet/dependency_manager.h | 6 --- src/ray/raylet/node_manager.h | 24 +-------- src/ray/raylet/worker.h | 4 +- src/ray/raylet/worker_pool.h | 5 +- src/ray/util/event.h | 1 - 14 files changed, 4 insertions(+), 103 deletions(-) diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index 84bbd0479a5d..fb92ce99ac94 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -62,7 +62,6 @@ class ActorCreatorInterface { /// /// \param actor_id The actor id to wait /// \param callback The callback that will be called after actor registered - /// \return void virtual void AsyncWaitForActorRegisterFinish(const ActorID &actor_id, gcs::StatusCallback callback) = 0; diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 8cb9b44828e0..7e3605cf95e9 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -232,7 +232,6 @@ class CoreWorker { /// \param exit_detail The detailed reason for a given exit. /// \param creation_task_exception_pb_bytes It is given when the worker is /// disconnected because the actor is failed due to its exception in its init method. - /// \return Void. void Disconnect(const rpc::WorkerExitType &exit_type, const std::string &exit_detail, const std::shared_ptr @@ -243,11 +242,9 @@ class CoreWorker { /// This must be called before deallocating a worker / driver's core worker for memory /// safety. /// - /// \return void. void Shutdown(); /// Start receiving and executing tasks. - /// \return void. void RunTaskExecutionLoop(); const WorkerID &GetWorkerID() const; @@ -1291,7 +1288,6 @@ class CoreWorker { /// \param[in] success_callback The callback to use the result object. /// \param[in] python_user_callback The user-provided Python callback object that /// will be called inside of `success_callback`. - /// \return void void GetAsync(const ObjectID &object_id, SetResultCallback success_callback, void *python_user_callback); diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index 989e17dc581a..03f24070a8fe 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -111,7 +111,6 @@ class CoreWorkerProcess { /// /// \param[in] quick_exit If set to true, quick exit if uninitialized without /// crash. - /// \return Void. static void EnsureInitialized(bool quick_exit); static void HandleAtExit(); diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index 8a8ed65dc9ce..c085f69738aa 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -130,14 +130,12 @@ class CoreWorkerMemoryStore { /// \param[out] plasma_ids_to_delete This will be extended to /// include the IDs of the plasma objects to delete, based on the /// in-memory objects that contained InPlasmaError. - /// \return Void. void Delete(const absl::flat_hash_set &object_ids, absl::flat_hash_set *plasma_ids_to_delete); /// Delete a list of objects from the object store. /// /// \param[in] object_ids IDs of the objects to delete. - /// \return Void. void Delete(const std::vector &object_ids); /// Check whether this store contains the object. diff --git a/src/ray/core_worker/task_manager_interface.h b/src/ray/core_worker/task_manager_interface.h index 1ea70a4829c1..9ba0260b40bd 100644 --- a/src/ray/core_worker/task_manager_interface.h +++ b/src/ray/core_worker/task_manager_interface.h @@ -57,7 +57,6 @@ class TaskManagerInterface { /// \param[in] reply Proto response to a direct actor or task call. /// \param[in] worker_addr Address of the worker that executed the task. /// \param[in] is_application_error Whether this is an Exception return. - /// \return Void. virtual void CompletePendingTask(const TaskID &task_id, const rpc::PushTaskReply &reply, const rpc::Address &actor_addr, diff --git a/src/ray/core_worker/transport/actor_task_submitter.h b/src/ray/core_worker/transport/actor_task_submitter.h index 9c1912cb78a3..8a8350a9f64c 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.h +++ b/src/ray/core_worker/transport/actor_task_submitter.h @@ -384,7 +384,6 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// \param[in] task_spec The task to send. /// \param[in] skip_queue Whether to skip the task queue. This will send the /// task for execution immediately. - /// \return Void. void PushActorTask(ClientQueue &queue, const TaskSpecification &task_spec, bool skip_queue) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); @@ -400,7 +399,6 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// wait until the notification is received to decide whether we should /// fail pending tasks or restart the actor. /// \param[in] actor_id Actor ID. - /// \return Void. void SendPendingTasks(const ActorID &actor_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); /// Disconnect the RPC client for an actor. diff --git a/src/ray/flatbuffers/node_manager.fbs b/src/ray/flatbuffers/node_manager.fbs index 53e9792cacd2..dde5dfac89d6 100644 --- a/src/ray/flatbuffers/node_manager.fbs +++ b/src/ray/flatbuffers/node_manager.fbs @@ -19,14 +19,9 @@ namespace ray.protocol; enum MessageType:int { - // Task is submitted to the raylet. This is sent from a worker to a - // raylet. - SubmitTask = 1, // Notify the raylet that a task has finished. This is sent from a // worker to a raylet. ActorCreationTaskDone, - // Log a message to the event table. This is sent from a worker to a raylet. - EventLogMessage, // Send an initial connection message to the raylet. This is sent // from a worker or driver to a raylet. RegisterClientRequest, @@ -43,9 +38,6 @@ enum MessageType:int { // Notify the client that the raylet has deregistered this client. // The client should block until it receives this message before closing the socket. DisconnectClientReply, - // Tell a worker to execute a task. This is sent from a raylet to a - // worker. - ExecuteTask, // Request the Raylet to pull a set of objects to the local node. // a raylet. AsyncGetObjectsRequest, @@ -68,28 +60,10 @@ enum MessageType:int { PushErrorRequest, // Free the objects in objects store. FreeObjectsInObjectStoreRequest, - // A node manager requests to connect to another node manager. - ConnectClient, // Subscribe to Plasma updates. SubscribePlasmaReady, } -table Task { - task_specification: string; -} - -// This message describes a given resource that is reserved for a worker. -table ResourceIdSetInfo { - // The name of the resource. - resource_name: string; - // The resource IDs reserved for this worker. - resource_ids: [long]; - // The fraction of each resource ID that is reserved for this worker. Note - // that the length of this list must be the same as the length of - // resource_ids. - resource_fractions: [double]; -} - // This message is sent from a worker to the node manager. table DisconnectClientRequest { // Populated with a WorkerExitType enum. @@ -102,19 +76,13 @@ table DisconnectClientRequest { table DisconnectClientReply {} -table ResourceIdSetInfos { - resource_infos: [ResourceIdSetInfo]; -} - // This struct is used to register a new worker with the raylet. // It is shipped as part of raylet_connect. table RegisterClientRequest { // Type of the worker. // TODO(suquark): Use `WorkerType` in `common.proto`. worker_type: int; - // The ID of the worker or driver. worker_id: string; - // The process ID of this worker. worker_pid: long; // The startup token of the process assigned to // it during startup as a command line argument. @@ -126,27 +94,20 @@ table RegisterClientRequest { // Language of this worker. // TODO(hchen): Use `Language` in `common.proto`. language: int; - // IP address of this worker. ip_address: string; - // Port that this worker is listening on. port: int; // The config bytes of this job serialized with protobuf. serialized_job_config: string; } table RegisterClientReply { - // Whether the registration succeeded. success: bool; - // The reason of registration failure. failure_reason: string; - // GCS NodeID of the local node manager. raylet_id: string; - // Port that this worker should listen on. port: int; } table AnnounceWorkerPort { - // Port that this worker is listening on. port: int; // The entrypoint of the job. Only populated if the worker is a driver. entrypoint: string; @@ -171,7 +132,6 @@ table Address { table AsyncGetObjectsRequest { // Object IDs that we want the Raylet to pull locally. object_ids: [string]; - // Owner RPC addresses for the objects in the object_ids list. owner_addresses: [Address]; } @@ -185,14 +145,11 @@ table NotifyDirectCallTaskUnblocked { } table WaitRequest { - // List of object ids we'll be waiting on. object_ids: [string]; - // The RPC addresses of the workers that own the objects in object_ids. owner_addresses: [Address]; // Minimum number of objects to wait for before returning. // At most this many objects will be returned even if more are ready. num_required_objects: int; - // timeout timeout: long; } @@ -204,9 +161,7 @@ table WaitReply { } table WaitForActorCallArgsRequest { - // List of object ids we'll be waiting on. object_ids: [string]; - // The RPC addresses of the workers that own the objects in object_ids. owner_addresses: [Address]; // Id used to uniquely identify this request. This is sent back to the core // worker to notify the wait has completed. @@ -233,14 +188,8 @@ table FreeObjectsRequest { object_ids: [string]; } -table ConnectClient { - // ID of the connecting client. - client_id: string; -} - table SubscribePlasmaReady { // ObjectID to wait for object_id: string; - // The owner address for the ObjectID owner_address: Address; } diff --git a/src/ray/object_manager/object_buffer_pool.h b/src/ray/object_manager/object_buffer_pool.h index d780707be2a4..6951e7ff01fd 100644 --- a/src/ray/object_manager/object_buffer_pool.h +++ b/src/ray/object_manager/object_buffer_pool.h @@ -131,7 +131,6 @@ class ObjectBufferPool { /// Free a list of objects from object store. /// /// \param object_ids the The list of ObjectIDs to be deleted. - /// \return Void. void FreeObjects(const std::vector &object_ids) ABSL_LOCKS_EXCLUDED(pool_mutex_); diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 1d9a3ce42b05..8f20893d1d46 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -205,7 +205,6 @@ class ObjectManager : public ObjectManagerInterface, /// /// \param object_id The object's object id. /// \param node_id The remote node's id. - /// \return Void. void Push(const ObjectID &object_id, const NodeID &node_id); /// Pull a bundle of objects. This will attempt to make all objects in the @@ -280,14 +279,12 @@ class ObjectManager : public ObjectManagerInterface, /// /// \param object_id The object's object id. /// \param node_id The remote node's id. - /// \return Void. void PushLocalObject(const ObjectID &object_id, const NodeID &node_id); /// Pushing a known spilled object to a remote object manager. /// \param object_id The object's object id. /// \param node_id The remote node's id. /// \param spilled_url The url of the spilled object. - /// \return Void. void PushFromFilesystem(const ObjectID &object_id, const NodeID &node_id, const std::string &spilled_url); @@ -353,7 +350,6 @@ class ObjectManager : public ObjectManagerInterface, /// \param end_time_us The time when the object manager finished sending the /// chunk. /// \param status The status of the send (e.g., did it succeed or fail). - /// \return Void. void HandleSendFinished(const ObjectID &object_id, const NodeID &node_id, uint64_t chunk_index, diff --git a/src/ray/raylet/dependency_manager.h b/src/ray/raylet/dependency_manager.h index e3933773c72f..6788f399e266 100644 --- a/src/ray/raylet/dependency_manager.h +++ b/src/ray/raylet/dependency_manager.h @@ -116,7 +116,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param worker_id The ID of the worker that called `ray.wait`. /// \param required_objects The objects required by the worker. - /// \return Void. void StartOrUpdateWaitRequest( const WorkerID &worker_id, const std::vector &required_objects); @@ -127,7 +126,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param worker_id The ID of the worker whose `ray.wait` request we should /// cancel. - /// \return Void. void CancelWaitRequest(const WorkerID &worker_id); /// Start or update a worker's `ray.get` request. This will attempt to make @@ -139,7 +137,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param worker_id The ID of the worker that called `ray.wait`. /// \param required_objects The objects required by the worker. - /// \return Void. void StartOrUpdateGetRequest(const WorkerID &worker_id, const std::vector &required_objects); @@ -149,7 +146,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param worker_id The ID of the worker whose `ray.get` request we should /// cancel. - /// \return Void. void CancelGetRequest(const WorkerID &worker_id); /// Request dependencies for a queued task. This will attempt to make any @@ -160,7 +156,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param task_id The task that requires the objects. /// \param required_objects The objects required by the task. - /// \return Void. bool RequestTaskDependencies(const TaskID &task_id, const std::vector &required_objects, const TaskMetricsKey &task_key); @@ -172,7 +167,6 @@ class DependencyManager : public TaskDependencyManagerInterface { /// /// \param task_id The task that requires the objects. /// \param required_objects The objects required by the task. - /// \return Void. void RemoveTaskDependencies(const TaskID &task_id); /// Handle an object becoming locally available. diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 2d157751c045..2553a797d912 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -170,7 +170,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param client The client that sent the message. /// \param message_type The message type (e.g., a flatbuffer enum). /// \param message_data A pointer to the message data. - /// \return Void. void ProcessClientMessage(const std::shared_ptr &client, int64_t message_type, const uint8_t *message_data); @@ -245,14 +244,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// does not write to any global accounting in the GCS. /// /// \param object_info The info about the object that is locally available. - /// \return Void. void HandleObjectLocal(const ObjectInfo &object_info); /// Handle an object that is no longer local. This updates any local /// accounting, but does not write to any global accounting in the GCS. /// /// \param object_id The object that has been evicted locally. - /// \return Void. void HandleObjectMissing(const ObjectID &object_id); /// Handle a `WorkerLease` request. @@ -315,12 +312,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Handler for the addition of a new node. /// /// \param data Data associated with the new node. - /// \return Void. void NodeAdded(const GcsNodeInfo &data); /// Handler for the removal of a GCS node. /// \param node_id Id of the removed node. - /// \return Void. void NodeRemoved(const NodeID &node_id); /// Handler for the addition or updation of a resource in the GCS @@ -339,7 +334,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Evaluates the local infeasible queue to check if any tasks can be scheduled. /// This is called whenever there's an update to the resources on the local node. - /// \return Void. void TryLocalInfeasibleTaskScheduling(); /// Write out debug state to a file. @@ -368,7 +362,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Handle a worker finishing an assigned actor creation task. /// \param worker The worker that finished the task. /// \param task The actor task or actor creation task. - /// \return Void. void FinishAssignedActorCreationTask(const std::shared_ptr &worker, const RayTask &task); @@ -377,7 +370,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param client The client that is requesting the objects. /// \param object_refs The objects that are requested. /// \param is_get_request If this is a get request, else it's a wait request. - /// \return Void. void AsyncGetOrWait(const std::shared_ptr &client, const std::vector &object_refs, bool is_get_request); @@ -410,7 +402,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param disconnect_detail The detailed reason for a given exit. /// \param force true to destroy immediately, false to give time for the worker to /// clean up and exit gracefully. - /// \return Void. void DestroyWorker(std::shared_ptr worker, rpc::WorkerExitType disconnect_type, const std::string &disconnect_detail, @@ -420,30 +411,28 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// treat them as failed. /// /// \param job_id The job that exited. - /// \return Void. void CleanUpTasksForFinishedJob(const JobID &job_id); /// Handles the event that a job is started. /// /// \param job_id ID of the started job. /// \param job_data Data associated with the started job. - /// \return Void + void HandleJobStarted(const JobID &job_id, const JobTableData &job_data); /// Handles the event that a job is finished. /// /// \param job_id ID of the finished job. /// \param job_data Data associated with the finished job. - /// \return Void. void HandleJobFinished(const JobID &job_id, const JobTableData &job_data); /// Process client message of RegisterClientRequest /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void ProcessRegisterClientRequestMessage( const std::shared_ptr &client, const uint8_t *message_data); + Status ProcessRegisterClientRequestMessageImpl( const std::shared_ptr &client, const ray::protocol::RegisterClientRequest *message); @@ -464,7 +453,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void ProcessAnnounceWorkerPortMessage(const std::shared_ptr &client, const uint8_t *message_data); void ProcessAnnounceWorkerPortMessageImpl( @@ -478,7 +466,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Handle the case that a worker is available. /// /// \param worker The pointer to the worker - /// \return Void. void HandleWorkerAvailable(const std::shared_ptr &worker); /// Handle a client that has disconnected. This can be called multiple times @@ -488,7 +475,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void ProcessDisconnectClientMessage(const std::shared_ptr &client, const uint8_t *message_data); @@ -496,7 +482,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void HandleAsyncGetObjectsRequest(const std::shared_ptr &client, const uint8_t *message_data); @@ -504,7 +489,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void ProcessWaitRequestMessage(const std::shared_ptr &client, const uint8_t *message_data); @@ -512,14 +496,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return Void. void ProcessWaitForActorCallArgsRequestMessage( const std::shared_ptr &client, const uint8_t *message_data); /// Process client message of PushErrorRequest /// /// \param message_data A pointer to the message data. - /// \return Void. void ProcessPushErrorRequestMessage(const uint8_t *message_data); /// Process worker subscribing to a given plasma object become available. This handler @@ -528,7 +510,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// /// \param client The client that sent the message. /// \param message_data A pointer to the message data. - /// \return void. void ProcessSubscribePlasmaReady(const std::shared_ptr &client, const uint8_t *message_data); @@ -701,7 +682,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// \param disconnect_type The reason to disconnect the specified client. /// \param disconnect_detail Disconnection information in details. /// \param client_error_message Extra error messages about this disconnection - /// \return Void. void DisconnectClient(const std::shared_ptr &client, bool graceful, rpc::WorkerExitType disconnect_type, diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index c3e409f5a988..2e0ef7f13f64 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -150,8 +150,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa std::shared_ptr connection, rpc::ClientCallManager &client_call_manager, StartupToken startup_token); - /// A destructor responsible for freeing all worker state. - ~Worker() = default; + rpc::WorkerType GetWorkerType() const; void MarkDead(); bool IsDead() const; @@ -159,7 +158,6 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// \param io_service for scheduling the graceful period timer. /// \param force true to kill immediately, false to give time for the worker to clean up /// and exit gracefully. - /// \return Void. void KillAsync(instrumented_io_context &io_service, bool force = false); void MarkBlocked(); void MarkUnblocked(); diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 08b14a94feb9..36ba3601168a 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -168,7 +168,6 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { /// Case 1: An suitable worker was found in idle worker pool. /// Case 2: An suitable worker registered to raylet. /// The corresponding PopWorkerStatus will be passed to the callback. - /// \return Void. virtual void PopWorker(const TaskSpecification &task_spec, const PopWorkerCallback &callback) = 0; /// Add an idle worker to the pool. @@ -343,13 +342,12 @@ class WorkerPool : public WorkerPoolInterface { /// /// \param job_id ID of the started job. /// \param job_config The config of the started job. - /// \return Void + void HandleJobStarted(const JobID &job_id, const rpc::JobConfig &job_config) override; /// Handles the event that a job is finished. /// /// \param job_id ID of the finished job. - /// \return Void. void HandleJobFinished(const JobID &job_id) override; /// \brief Get the job config by job id. @@ -381,7 +379,6 @@ class WorkerPool : public WorkerPoolInterface { /// announces its port. /// /// \param[in] worker The worker which is started. - /// \return void void OnWorkerStarted(const std::shared_ptr &worker) override; /// Register a new driver. diff --git a/src/ray/util/event.h b/src/ray/util/event.h index 53af58b3b77c..8ac0ca4bb1c2 100644 --- a/src/ray/util/event.h +++ b/src/ray/util/event.h @@ -366,7 +366,6 @@ bool IsExportAPIEnabledSourceType( /// "error" and "fatal". You can also use capital letters for the options above. /// \param emit_event_to_log_file if True, it will emit the event to the process log file /// (e.g., gcs_server.out). Otherwise, event will only be recorded to the event log file. -/// \return void. void RayEventInit(const std::vector &source_types, const absl::flat_hash_map &custom_fields, const std::string &log_dir, From 146c43ab8d95cd0631bdbcb3487914e6b1e50997 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 6 Aug 2025 11:58:38 -0700 Subject: [PATCH 0521/1566] [core] Raylet retryable grpc (#55151) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 3 + src/ray/core_worker/core_worker_process.cc | 18 +- .../gcs_autoscaler_state_manager.cc | 31 ++- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_server.cc | 72 +++---- src/ray/gcs/gcs_server/gcs_server.h | 2 +- .../test/gcs_actor_scheduler_mock_test.cc | 4 +- src/ray/raylet/main.cc | 6 +- src/ray/raylet_client/raylet_client.cc | 9 +- src/ray/raylet_client/raylet_client.h | 4 +- src/ray/rpc/BUILD.bazel | 1 + .../rpc/node_manager/node_manager_client.h | 28 ++- .../rpc/node_manager/raylet_client_pool.cc | 60 +++++- src/ray/rpc/node_manager/raylet_client_pool.h | 17 +- src/ray/rpc/node_manager/test/BUILD.bazel | 15 ++ .../test/raylet_client_pool_test.cc | 186 ++++++++++++++++++ .../rpc/test/core_worker_client_pool_test.cc | 56 ++++-- src/ray/rpc/worker/core_worker_client.cc | 32 ++- src/ray/rpc/worker/core_worker_client_pool.h | 13 +- 19 files changed, 438 insertions(+), 121 deletions(-) create mode 100644 src/ray/rpc/node_manager/test/BUILD.bazel create mode 100644 src/ray/rpc/node_manager/test/raylet_client_pool_test.cc diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 03c608025ba2..40ad7cb674a0 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -950,3 +950,6 @@ RAY_CONFIG(int64_t, raylet_check_for_unexpected_worker_disconnect_interval_ms, 1 /// for tasks with smaller sequence numbers to show up. If timed out, the task will /// be cancelled. RAY_CONFIG(int64_t, actor_scheduling_queue_max_reorder_wait_seconds, 30) + +/// Timeout for raylet grpc server reconnection in seconds. +RAY_CONFIG(int32_t, raylet_rpc_server_reconnect_timeout_s, 60) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index d81d8e00ae2e..72301b1e31c9 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -279,10 +279,15 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( } auto raylet_client_pool = - std::make_shared([this](const rpc::Address &addr) { + std::make_shared([&](const rpc::Address &addr) { auto core_worker = GetCoreWorker(); return std::make_shared( - addr, *core_worker->client_call_manager_); + addr, + *core_worker->client_call_manager_, + rpc::RayletClientPool::GetDefaultUnavailableTimeoutCallback( + core_worker->gcs_client_.get(), + core_worker->raylet_client_pool_.get(), + addr)); }); std::shared_ptr core_worker_client_pool = @@ -784,14 +789,17 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { rpc::ClientCallManager client_call_manager(io_service, /*record_stats=*/false); rpc::Address raylet_address = rpc::RayletClientPool::GenerateRayletAddress( NodeID::Nil(), options_.node_ip_address, options_.node_manager_port); - raylet::RayletClient raylet_client(raylet_address, client_call_manager); + // TODO(joshlee): This local raylet client has a custom retry policy below since its + // likely the driver can start up before the raylet is ready. We want to move away + // from this and will be fixed in https://github.com/ray-project/ray/issues/55200 + raylet::RayletClient local_raylet_client(raylet_address, client_call_manager, [] {}); std::function get_once = [this, &get_once, - &raylet_client, + &local_raylet_client, &promise, &io_service](int64_t num_attempts) { - raylet_client.GetSystemConfig( + local_raylet_client.GetSystemConfig( [this, num_attempts, &get_once, &promise, &io_service]( const Status &status, const rpc::GetSystemConfigReply &reply) { RAY_LOG(DEBUG) << "Getting system config from raylet, remaining retries = " diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index d225e9b27bb2..e3873fe82ff9 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -608,29 +608,28 @@ void GcsAutoscalerStateManager::CancelInfeasibleRequests() const { for (const auto &node_infeasible_request_pair : per_node_infeasible_requests) { const auto &node_id = node_infeasible_request_pair.first; const auto &infeasible_shapes = node_infeasible_request_pair.second; - const auto raylet_client = raylet_client_pool_.GetOrConnectByID(node_id); + const auto raylet_client = raylet_client_pool_.GetByID(node_id); - if (raylet_client.has_value()) { + if (raylet_client) { std::string resource_shapes_str = ray::VectorToString(infeasible_shapes, ray::DebugString); RAY_LOG(WARNING) << "Canceling infeasible requests on node " << node_id << " with infeasible_shapes=" << resource_shapes_str; - (*raylet_client) - ->CancelTasksWithResourceShapes( - infeasible_shapes, - [node_id](const Status &status, - const rpc::CancelTasksWithResourceShapesReply &) { - if (status.ok()) { - RAY_LOG(INFO) << "Infeasible tasks cancelled on node " << node_id; - } else { - // Autoscaler will eventually retry the infeasible task cancellation - RAY_LOG(WARNING) - << "Failed to cancel infeasible requests on node " << node_id - << ". RPC failed with status: " << status.ToString(); - } - }); + raylet_client->CancelTasksWithResourceShapes( + infeasible_shapes, + [node_id](const Status &status, + const rpc::CancelTasksWithResourceShapesReply &) { + if (status.ok()) { + RAY_LOG(INFO) << "Infeasible tasks cancelled on node " << node_id; + } else { + // Autoscaler will eventually retry the infeasible task cancellation + RAY_LOG(WARNING) << "Failed to cancel infeasible requests on node " + << node_id + << ". RPC failed with status: " << status.ToString(); + } + }); } else { RAY_LOG(WARNING) << "Failed to cancel infeasible requests on node " << node_id << ". Raylet client to the node is not available."; diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index fa4afd863ec2..972ecba9c4e6 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -270,7 +270,7 @@ class GcsNodeManager : public rpc::NodeInfoHandler { gcs::GcsTableStorage *gcs_table_storage_; instrumented_io_context &io_context_; /// Raylet client pool. - rpc::RayletClientPool *raylet_client_pool_ = nullptr; + rpc::RayletClientPool *raylet_client_pool_; /// Cluster ID to be shared with clients when connecting. const ClusterID cluster_id_; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index ef8dce55249d..d8c1a0d8a174 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -64,11 +64,18 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, /*record_stats=*/true, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), - raylet_client_pool_( - std::make_unique([&](const rpc::Address &addr) { - return std::make_shared(addr, - client_call_manager_); - })), + raylet_client_pool_([this](const rpc::Address &addr) { + return std::make_shared( + addr, + this->client_call_manager_, + /*raylet_unavailable_timeout_callback=*/[this, addr]() { + const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); + auto alive_node = this->gcs_node_manager_->GetAliveNode(node_id); + if (!alive_node.has_value()) { + this->raylet_client_pool_.Disconnect(node_id); + } + }); + }), worker_client_pool_([this](const rpc::Address &addr) { return std::make_shared( addr, @@ -81,25 +88,23 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, this->worker_client_pool_.Disconnect(worker_id); return; } - auto raylet_client = this->raylet_client_pool_->GetOrConnectByID(node_id); - RAY_CHECK(raylet_client.has_value()); + auto raylet_client = this->raylet_client_pool_.GetByID(node_id); + RAY_CHECK(raylet_client); // Worker could still be dead even if node is alive. - (*raylet_client) - ->IsLocalWorkerDead( - worker_id, - [this, worker_id, node_id](const Status &status, - const auto &reply) { - if (!status.ok()) { - RAY_LOG(INFO).WithField(worker_id).WithField(node_id) - << "Failed to check if worker is dead on request to raylet"; - return; - } - if (reply.is_dead()) { - RAY_LOG(INFO).WithField(worker_id) - << "Disconnect core worker client since it is dead"; - this->worker_client_pool_.Disconnect(worker_id); - } - }); + raylet_client->IsLocalWorkerDead( + worker_id, + [this, worker_id, node_id](const Status &status, const auto &reply) { + if (!status.ok()) { + RAY_LOG(INFO).WithField(worker_id).WithField(node_id) + << "Failed to check if worker is dead on request to raylet"; + return; + } + if (reply.is_dead()) { + RAY_LOG(INFO).WithField(worker_id) + << "Disconnect core worker client since it is dead"; + this->worker_client_pool_.Disconnect(worker_id); + } + }); }); }), pubsub_periodical_runner_( @@ -334,7 +339,7 @@ void GcsServer::InitGcsNodeManager(const GcsInitData &gcs_init_data) { std::make_unique(gcs_publisher_.get(), gcs_table_storage_.get(), io_context_provider_.GetDefaultIOContext(), - raylet_client_pool_.get(), + &raylet_client_pool_, rpc_server_.GetClusterId()); // Initialize by gcs tables data. gcs_node_manager_->Initialize(gcs_init_data); @@ -359,7 +364,7 @@ void GcsServer::InitGcsHealthCheckManager(const GcsInitData &gcs_init_data) { item.second.node_manager_address(), item.second.node_manager_port()); auto raylet_client = - raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); + raylet_client_pool_.GetOrConnectByAddress(std::move(remote_address)); gcs_healthcheck_manager_->AddNode(item.first, raylet_client->GetChannel()); } } @@ -385,8 +390,8 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { std::shared_ptr raylet_client; // GetOrConnectionByID will not connect to the raylet is it hasn't been // connected. - if (auto conn_opt = raylet_client_pool_->GetOrConnectByID(alive_node.first)) { - raylet_client = *conn_opt; + if (auto conn_opt = raylet_client_pool_.GetByID(alive_node.first)) { + raylet_client = conn_opt; } else { // When not connect, use GetOrConnectByAddress auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( @@ -394,7 +399,7 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { alive_node.second->node_manager_address(), alive_node.second->node_manager_port()); raylet_client = - raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); + raylet_client_pool_.GetOrConnectByAddress(std::move(remote_address)); } if (raylet_client == nullptr) { RAY_LOG(ERROR) << "Failed to connect to node: " << alive_node.first @@ -493,7 +498,7 @@ void GcsServer::InitGcsActorManager(const GcsInitData &gcs_init_data) { *cluster_task_manager_, schedule_failure_handler, schedule_success_handler, - *raylet_client_pool_, + raylet_client_pool_, worker_client_pool_, /*normal_task_resources_changed_callback=*/ [this](const NodeID &node_id, const rpc::ResourcesData &resources) { @@ -524,7 +529,7 @@ void GcsServer::InitGcsPlacementGroupManager(const GcsInitData &gcs_init_data) { *gcs_table_storage_, *gcs_node_manager_, *cluster_resource_scheduler_, - *raylet_client_pool_); + raylet_client_pool_); gcs_placement_group_manager_ = std::make_unique( io_context_provider_.GetDefaultIOContext(), @@ -724,7 +729,7 @@ void GcsServer::InitGcsAutoscalerStateManager(const GcsInitData &gcs_init_data) *gcs_node_manager_, *gcs_actor_manager_, *gcs_placement_group_manager_, - *raylet_client_pool_, + raylet_client_pool_, kv_manager_->GetInstance(), io_context_provider_.GetDefaultIOContext(), gcs_publisher_.get()); @@ -758,8 +763,7 @@ void GcsServer::InstallEventListeners() { auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( node_id, node->node_manager_address(), node->node_manager_port()); - auto raylet_client = - raylet_client_pool_->GetOrConnectByAddress(std::move(remote_address)); + auto raylet_client = raylet_client_pool_.GetOrConnectByAddress(remote_address); if (gcs_healthcheck_manager_) { RAY_CHECK(raylet_client != nullptr); @@ -779,7 +783,7 @@ void GcsServer::InstallEventListeners() { gcs_placement_group_manager_->OnNodeDead(node_id); gcs_actor_manager_->OnNodeDead(node, node_ip_address); gcs_job_manager_->OnNodeDead(node_id); - raylet_client_pool_->Disconnect(node_id); + raylet_client_pool_.Disconnect(node_id); worker_client_pool_.Disconnect(node_id); gcs_healthcheck_manager_->RemoveNode(node_id); pubsub_handler_->AsyncRemoveSubscriberFrom(node_id.Binary()); diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 61fd4cd90a88..755a466b172f 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -231,7 +231,7 @@ class GcsServer { /// The `ClientCallManager` object that is shared by all `RayletClient`s. rpc::ClientCallManager client_call_manager_; /// Node manager client pool. - std::unique_ptr raylet_client_pool_; + rpc::RayletClientPool raylet_client_pool_; // Core worker client pool. rpc::CoreWorkerClientPool worker_client_pool_; /// The cluster resource scheduler. diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc index 8b8b00d1a31a..4493b8257bc1 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc @@ -43,12 +43,12 @@ class GcsActorSchedulerMockTest : public Test { void SetUp() override { store_client = std::make_shared(); actor_table = std::make_unique(store_client); - gcs_node_manager = std::make_unique( - nullptr, nullptr, io_context, nullptr, ClusterID::Nil()); raylet_client = std::make_shared(); core_worker_client = std::make_shared(); client_pool = std::make_unique( [this](const rpc::Address &) { return raylet_client; }); + gcs_node_manager = std::make_unique( + nullptr, nullptr, io_context, client_pool.get(), ClusterID::Nil()); local_node_id = NodeID::FromRandom(); auto cluster_resource_scheduler = std::make_shared( io_context, diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 3451b6e8d9e8..aea88d029829 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -556,7 +556,11 @@ int main(int argc, char *argv[]) { raylet_client_pool = std::make_unique([&](const ray::rpc::Address &addr) { - return std::make_shared(addr, *client_call_manager); + return std::make_shared( + addr, + *client_call_manager, + ray::rpc::RayletClientPool::GetDefaultUnavailableTimeoutCallback( + gcs_client.get(), raylet_client_pool.get(), addr)); }); core_worker_subscriber = std::make_unique( diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 58a1f348df3b..970b632f6060 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -57,16 +57,19 @@ AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, namespace ray::raylet { RayletClient::RayletClient(const rpc::Address &address, - rpc::ClientCallManager &client_call_manager) + rpc::ClientCallManager &client_call_manager, + std::function raylet_unavailable_timeout_callback) : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, client_call_manager))) {} + new rpc::NodeManagerClient(address, + client_call_manager, + std::move(raylet_unavailable_timeout_callback)))) {} RayletClient::RayletClient(std::unique_ptr raylet_conn, const rpc::Address &address, rpc::ClientCallManager &client_call_manager, const WorkerID &worker_id) : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, client_call_manager))), + new rpc::NodeManagerClient(address, client_call_manager, [] {}))), worker_id_(worker_id), conn_(std::move(raylet_conn)) {} diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 4c7374cba71b..7d7b70f2866f 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -18,7 +18,6 @@ #include #include #include -#include #include #include "ray/common/asio/instrumented_io_context.h" @@ -254,7 +253,8 @@ class RayletClient : public RayletClientInterface { /// 0, the worker should choose a random port. /// \param client_call_manager The client call manager to use for the grpc connection. explicit RayletClient(const rpc::Address &address, - rpc::ClientCallManager &client_call_manager); + rpc::ClientCallManager &client_call_manager, + std::function raylet_unavailable_timeout_callback); /// Notify the raylet that this client is disconnecting gracefully. This /// is used by actors to exit gracefully so that the raylet doesn't diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 318c7bbd3789..21229ed7d8f6 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -137,6 +137,7 @@ ray_cc_library( ":client_call", ":grpc_client", "//src/ray/common:id", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:node_manager_cc_grpc", ] + [ # TODO(eoakes): these three come from raylet_client.h, remove after breaking the circular dependency. diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/rpc/node_manager/node_manager_client.h index 885fa5ff0aad..d27b0d9e687c 100644 --- a/src/ray/rpc/node_manager/node_manager_client.h +++ b/src/ray/rpc/node_manager/node_manager_client.h @@ -16,12 +16,15 @@ #include +#include #include #include #include +#include #include "ray/common/status.h" #include "ray/rpc/grpc_client.h" +#include "ray/rpc/retryable_grpc_client.h" #include "ray/util/logging.h" #include "src/ray/protobuf/node_manager.grpc.pb.h" #include "src/ray/protobuf/node_manager.pb.h" @@ -48,9 +51,24 @@ class NodeManagerClient { /// \param[in] address Address of the node manager server. /// \param[in] port Port of the node manager server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - NodeManagerClient(const rpc::Address &address, ClientCallManager &client_call_manager) - : grpc_client_{std::make_unique>( - address.ip_address(), address.port(), client_call_manager)} {} + NodeManagerClient(const rpc::Address &address, + ClientCallManager &client_call_manager, + std::function raylet_unavailable_timeout_callback) + : grpc_client_(std::make_shared>( + address.ip_address(), address.port(), client_call_manager)), + retryable_grpc_client_(RetryableGrpcClient::Create( + grpc_client_->Channel(), + client_call_manager.GetMainService(), + /*max_pending_requests_bytes=*/ + std::numeric_limits::max(), + /*check_channel_status_interval_milliseconds=*/ + ::RayConfig::instance() + .grpc_client_check_connection_status_interval_milliseconds(), + /*server_unavailable_timeout_seconds=*/ + ::RayConfig::instance().raylet_rpc_server_reconnect_timeout_s(), + /*server_unavailable_timeout_callback=*/ + std::move(raylet_unavailable_timeout_callback), + /*server_name=*/"Raylet " + address.ip_address())) {} std::shared_ptr Channel() const { return grpc_client_->Channel(); } @@ -175,7 +193,9 @@ class NodeManagerClient { grpc_client_, /*method_timeout_ms*/ -1, ) - std::unique_ptr> grpc_client_; + std::shared_ptr> grpc_client_; + + std::shared_ptr retryable_grpc_client_; }; } // namespace rpc diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc index 53f231fd05ef..1b72304655bb 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -16,10 +16,67 @@ #include #include +#include namespace ray { namespace rpc { +std::function RayletClientPool::GetDefaultUnavailableTimeoutCallback( + gcs::GcsClient *gcs_client, + rpc::RayletClientPool *raylet_client_pool, + const rpc::Address &addr) { + return [addr, gcs_client, raylet_client_pool]() { + const NodeID raylet_id = NodeID::FromBinary(addr.raylet_id()); + + auto gcs_check_node_alive = [raylet_id, addr, raylet_client_pool, gcs_client]() { + gcs_client->Nodes().AsyncGetAll( + [addr, raylet_id, raylet_client_pool](const Status &status, + std::vector &&nodes) { + if (!status.ok()) { + // Will try again when unavailable timeout callback is retried. + RAY_LOG(INFO) << "Failed to get node info from GCS"; + return; + } + if (nodes.empty() || nodes[0].state() != rpc::GcsNodeInfo::ALIVE) { + // The node is dead or GCS doesn't know about this node. + // There's only two reasons the GCS doesn't know about the node: + // 1. The node isn't registered yet. + // 2. The GCS erased the dead node based on + // maximum_gcs_dead_node_cached_count. + // In this case, it must be 2 since there's no way for a component to + // know about a remote node id until the gcs has registered it. + RAY_LOG(INFO).WithField(raylet_id) + << "Disconnecting raylet client because its node is dead"; + raylet_client_pool->Disconnect(raylet_id); + return; + } + }, + -1, + {raylet_id}); + }; + + if (gcs_client->Nodes().IsSubscribedToNodeChange()) { + auto *node_info = gcs_client->Nodes().Get(raylet_id, /*filter_dead_nodes=*/false); + if (node_info == nullptr) { + // Node could be dead or info may have not made it to the subscriber cache yet. + // Check with the GCS to confirm if the node is dead. + gcs_check_node_alive(); + return; + } + if (node_info->state() == rpc::GcsNodeInfo::DEAD) { + RAY_LOG(INFO).WithField(raylet_id) + << "Disconnecting raylet client because its node is dead."; + raylet_client_pool->Disconnect(raylet_id); + return; + } + // Node is alive so raylet client is alive. + return; + } + // Not subscribed so ask GCS. + gcs_check_node_alive(); + }; +} + std::shared_ptr RayletClientPool::GetOrConnectByAddress( const rpc::Address &address) { RAY_CHECK(address.raylet_id() != ""); @@ -39,8 +96,7 @@ std::shared_ptr RayletClientPool::GetOrConnectByAddr return connection; } -std::optional> -RayletClientPool::GetOrConnectByID(ray::NodeID id) { +std::shared_ptr RayletClientPool::GetByID(ray::NodeID id) { absl::MutexLock lock(&mu_); auto it = client_map_.find(id); if (it == client_map_.end()) { diff --git a/src/ray/rpc/node_manager/raylet_client_pool.h b/src/ray/rpc/node_manager/raylet_client_pool.h index 591a7a323a3c..a1d686fd4e25 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.h +++ b/src/ray/rpc/node_manager/raylet_client_pool.h @@ -23,6 +23,7 @@ #include "absl/strings/str_cat.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" +#include "ray/gcs/gcs_client/gcs_client.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_client.h" @@ -33,13 +34,19 @@ using RayletClientFactoryFn = std::function(const rpc::Address &)>; class RayletClientPool { public: - /// Return an existing RayletClient if exists or connect to one if it does - /// not. The returned pointer is borrowed, and expected to be used briefly. - std::optional> GetOrConnectByID( - ray::NodeID id); + /// Default unavailable_timeout_callback for retryable rpc's used by client factories on + /// raylet. + static std::function GetDefaultUnavailableTimeoutCallback( + gcs::GcsClient *gcs_client, + rpc::RayletClientPool *raylet_client_pool, + const rpc::Address &addr); + + /// Return an existing RayletClient if exists or nullptr if it does not. + /// The returned pointer is expected to be used briefly. + std::shared_ptr GetByID(ray::NodeID id); /// Return an existing RayletClient if exists or connect to one if it does - /// not. The returned pointer is borrowed, and expected to be used briefly. + /// not. The returned pointer is expected to be used briefly. /// The function is guaranteed to return the non-nullptr. std::shared_ptr GetOrConnectByAddress( const rpc::Address &address); diff --git a/src/ray/rpc/node_manager/test/BUILD.bazel b/src/ray/rpc/node_manager/test/BUILD.bazel new file mode 100644 index 000000000000..e8c9d9dd6b2d --- /dev/null +++ b/src/ray/rpc/node_manager/test/BUILD.bazel @@ -0,0 +1,15 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "raylet_client_pool_test", + size = "small", + srcs = ["raylet_client_pool_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_fakes", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/rpc:node_manager_client", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc b/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc new file mode 100644 index 000000000000..15d81cccf7a2 --- /dev/null +++ b/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc @@ -0,0 +1,186 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/rpc/node_manager/raylet_client_pool.h" + +#include + +#include +#include +#include +#include + +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "gmock/gmock.h" + +namespace ray { +namespace rpc { + +using ::testing::_; +using ::testing::Invoke; +using ::testing::Return; + +class MockRayletClient : public FakeRayletClient { + public: + explicit MockRayletClient(std::function unavailable_timeout_callback = nullptr) + : unavailable_timeout_callback_(std::move(unavailable_timeout_callback)) {} + + std::function unavailable_timeout_callback_; +}; + +namespace { + +rpc::Address CreateRandomAddress(const std::string &addr) { + rpc::Address address; + address.set_ip_address(addr); + address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_worker_id(WorkerID::FromRandom().Binary()); + return address; +} + +} // namespace + +class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { + public: + explicit MockGcsClientNodeAccessor(bool is_subscribed_to_node_change) + : gcs::NodeInfoAccessor(nullptr), + is_subscribed_to_node_change_(is_subscribed_to_node_change) {} + + bool IsSubscribedToNodeChange() const override { return is_subscribed_to_node_change_; } + + MOCK_METHOD(const rpc::GcsNodeInfo *, Get, (const NodeID &, bool), (const, override)); + + MOCK_METHOD(void, + AsyncGetAll, + (const gcs::MultiItemCallback &, + int64_t, + const std::vector &), + (override)); + + private: + bool is_subscribed_to_node_change_; +}; + +class MockGcsClient : public gcs::GcsClient { + public: + explicit MockGcsClient(bool is_subscribed_to_node_change) { + this->node_accessor_ = + std::make_unique(is_subscribed_to_node_change); + } + + MockGcsClientNodeAccessor &MockNodeAccessor() { + return dynamic_cast(*this->node_accessor_); + } +}; + +class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam { + public: + DefaultUnavailableTimeoutCallbackTest() + : is_subscribed_to_node_change_(GetParam()), + gcs_client_(is_subscribed_to_node_change_), + raylet_client_pool_( + std::make_unique([this](const rpc::Address &addr) { + return std::make_shared( + RayletClientPool::GetDefaultUnavailableTimeoutCallback( + &this->gcs_client_, this->raylet_client_pool_.get(), addr)); + })) {} + + bool is_subscribed_to_node_change_; + MockGcsClient gcs_client_; + std::unique_ptr raylet_client_pool_; +}; + +TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { + // Add 2 raylet clients to the pool. + // raylet_client_1 unavailable calls: + // 1. Node info hasn't been cached yet, but GCS knows it's alive. + // 2. Node info has been cached and GCS knows it's alive. + // 3. Node is dead according to cache + GCS, should disconnect. + // raylet_client_2 unavailable calls: + // 1. Subscriber cache and GCS don't know about node. Means the node is dead and the GCS + // had to discard to keep its cache size in check, should disconnect. + + auto &mock_node_accessor = gcs_client_.MockNodeAccessor(); + auto invoke_with_node_info_vector = [](std::vector node_info_vector) { + return Invoke( + [node_info_vector](const gcs::MultiItemCallback &callback, + int64_t, + const std::vector &) { + callback(Status::OK(), node_info_vector); + }); + }; + + auto raylet_client_1_address = CreateRandomAddress("1"); + auto raylet_client_2_address = CreateRandomAddress("2"); + auto raylet_client_1_node_id = NodeID::FromBinary(raylet_client_1_address.raylet_id()); + auto raylet_client_2_node_id = NodeID::FromBinary(raylet_client_2_address.raylet_id()); + + auto raylet_client_1 = dynamic_cast( + raylet_client_pool_->GetOrConnectByAddress(raylet_client_1_address).get()); + ASSERT_EQ(raylet_client_pool_->GetByID(raylet_client_1_node_id).get(), raylet_client_1); + auto raylet_client_2 = dynamic_cast( + raylet_client_pool_->GetOrConnectByAddress(raylet_client_2_address).get()); + ASSERT_EQ(raylet_client_pool_->GetByID(raylet_client_2_node_id).get(), raylet_client_2); + + rpc::GcsNodeInfo node_info_alive; + node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); + rpc::GcsNodeInfo node_info_dead; + node_info_dead.set_state(rpc::GcsNodeInfo::DEAD); + if (is_subscribed_to_node_change_) { + EXPECT_CALL(mock_node_accessor, + Get(raylet_client_1_node_id, /*filter_dead_nodes=*/false)) + .WillOnce(Return(nullptr)) + .WillOnce(Return(&node_info_alive)) + .WillOnce(Return(&node_info_dead)); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::vector{raylet_client_1_node_id})) + .WillOnce(invoke_with_node_info_vector({node_info_alive})); + EXPECT_CALL(mock_node_accessor, + Get(raylet_client_2_node_id, /*filter_dead_nodes=*/false)) + .WillOnce(Return(nullptr)); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::vector{raylet_client_2_node_id})) + .WillOnce(invoke_with_node_info_vector({})); + } else { + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::vector{raylet_client_1_node_id})) + .WillOnce(invoke_with_node_info_vector({node_info_alive})) + .WillOnce(invoke_with_node_info_vector({node_info_alive})) + .WillOnce(invoke_with_node_info_vector({node_info_dead})); + EXPECT_CALL(mock_node_accessor, + AsyncGetAll(_, _, std::vector{raylet_client_2_node_id})) + .WillOnce(invoke_with_node_info_vector({})); + } + + raylet_client_1->unavailable_timeout_callback_(); + ASSERT_NE(raylet_client_pool_->GetByID(raylet_client_1_node_id).get(), nullptr); + raylet_client_1->unavailable_timeout_callback_(); + ASSERT_NE(raylet_client_pool_->GetByID(raylet_client_1_node_id).get(), nullptr); + raylet_client_1->unavailable_timeout_callback_(); + ASSERT_EQ(raylet_client_pool_->GetByID(raylet_client_1_node_id).get(), nullptr); + raylet_client_2->unavailable_timeout_callback_(); + ASSERT_EQ(raylet_client_pool_->GetByID(raylet_client_2_node_id).get(), nullptr); +} + +INSTANTIATE_TEST_SUITE_P(IsSubscribedToNodeChange, + DefaultUnavailableTimeoutCallbackTest, + ::testing::Values(true, false)); + +} // namespace rpc +} // namespace ray + +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/src/ray/rpc/test/core_worker_client_pool_test.cc b/src/ray/rpc/test/core_worker_client_pool_test.cc index 15bb4217e225..7f06a7c5b192 100644 --- a/src/ray/rpc/test/core_worker_client_pool_test.cc +++ b/src/ray/rpc/test/core_worker_client_pool_test.cc @@ -56,6 +56,17 @@ rpc::Address CreateRandomAddress(const std::string &addr) { } // namespace +void AssertID(WorkerID worker_id, CoreWorkerClientPool &client_pool, bool contains) { + absl::MutexLock lock(&client_pool.mu_); + if (contains) { + ASSERT_NE(client_pool.worker_client_map_.find(worker_id), + client_pool.worker_client_map_.end()); + } else { + ASSERT_EQ(client_pool.worker_client_map_.find(worker_id), + client_pool.worker_client_map_.end()); + } +} + TEST(CoreWorkerClientPoolTest, TestGC) { // Test to make sure idle clients are removed eventually. @@ -64,20 +75,22 @@ TEST(CoreWorkerClientPoolTest, TestGC) { rpc::Address address1 = CreateRandomAddress("1"); rpc::Address address2 = CreateRandomAddress("2"); + auto worker_id1 = WorkerID::FromBinary(address1.worker_id()); + auto worker_id2 = WorkerID::FromBinary(address2.worker_id()); auto client1 = client_pool.GetOrConnect(address1); - ASSERT_EQ(client_pool.Size(), 1); + AssertID(worker_id1, client_pool, true); auto client2 = client_pool.GetOrConnect(address2); - ASSERT_EQ(client_pool.Size(), 2); - client_pool.Disconnect(WorkerID::FromBinary(address2.worker_id())); - ASSERT_EQ(client_pool.Size(), 1); - ASSERT_EQ(client1.get(), client_pool.GetOrConnect(address1).get()); - ASSERT_EQ(client_pool.Size(), 1); + AssertID(worker_id2, client_pool, true); + client_pool.Disconnect(worker_id2); + AssertID(worker_id2, client_pool, false); + AssertID(worker_id1, client_pool, true); client2 = client_pool.GetOrConnect(address2); - ASSERT_EQ(client_pool.Size(), 2); + AssertID(worker_id2, client_pool, true); dynamic_cast(client1.get())->is_idle_after_rpcs = true; // Client 1 will be removed since it's idle. - ASSERT_EQ(client2.get(), client_pool.GetOrConnect(address2).get()); - ASSERT_EQ(client_pool.Size(), 1); + client_pool.GetOrConnect(address2); + AssertID(worker_id2, client_pool, true); + AssertID(worker_id1, client_pool, false); } class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { @@ -118,7 +131,7 @@ class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam([](const rpc::Address &) { + raylet_client_pool_(std::make_unique([](const rpc::Address &) { return std::make_shared(); })), client_pool_( @@ -133,7 +146,7 @@ class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam raylet_client_pool_; + std::unique_ptr raylet_client_pool_; std::unique_ptr client_pool_; }; @@ -159,12 +172,14 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { auto worker_1_address = CreateRandomAddress("1"); auto worker_2_address = CreateRandomAddress("2"); + auto worker_id1 = WorkerID::FromBinary(worker_1_address.worker_id()); + auto worker_id2 = WorkerID::FromBinary(worker_2_address.worker_id()); auto worker_1_client = dynamic_cast( client_pool_->GetOrConnect(worker_1_address).get()); - ASSERT_EQ(client_pool_->Size(), 1); + AssertID(worker_id1, *client_pool_, true); auto worker_2_client = dynamic_cast( client_pool_->GetOrConnect(worker_2_address).get()); - ASSERT_EQ(client_pool_->Size(), 2); + AssertID(worker_id2, *client_pool_, true); auto worker_1_node_id = NodeID::FromBinary(worker_1_address.raylet_id()); auto worker_2_node_id = NodeID::FromBinary(worker_2_address.raylet_id()); @@ -211,13 +226,13 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { })); worker_1_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 2); + AssertID(worker_id1, *client_pool_, true); worker_1_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 2); + AssertID(worker_id1, *client_pool_, true); worker_1_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 1); + AssertID(worker_id1, *client_pool_, false); worker_2_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 0); + AssertID(worker_id2, *client_pool_, false); } TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { @@ -226,9 +241,10 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { // 2nd call - Node is alive and worker is dead, client should be disconnected. auto worker_address = CreateRandomAddress("1"); + auto worker_id = WorkerID::FromBinary(worker_address.worker_id()); auto core_worker_client = dynamic_cast( client_pool_->GetOrConnect(worker_address).get()); - ASSERT_EQ(client_pool_->Size(), 1); + AssertID(worker_id, *client_pool_, true); rpc::GcsNodeInfo node_info_alive; node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); @@ -267,9 +283,9 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, WorkerDeath) { // Disconnects the second time. core_worker_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 1); + AssertID(worker_id, *client_pool_, true); core_worker_client->unavailable_timeout_callback_(); - ASSERT_EQ(client_pool_->Size(), 0); + AssertID(worker_id, *client_pool_, false); } INSTANTIATE_TEST_SUITE_P(IsSubscribedToNodeChange, diff --git a/src/ray/rpc/worker/core_worker_client.cc b/src/ray/rpc/worker/core_worker_client.cc index 8b7899e1511a..a182c020de7d 100644 --- a/src/ray/rpc/worker/core_worker_client.cc +++ b/src/ray/rpc/worker/core_worker_client.cc @@ -25,23 +25,21 @@ CoreWorkerClient::CoreWorkerClient( rpc::Address address, ClientCallManager &client_call_manager, std::function core_worker_unavailable_timeout_callback) - : addr_(std::move(address)) { - grpc_client_ = std::make_shared>( - addr_.ip_address(), addr_.port(), client_call_manager); - - retryable_grpc_client_ = RetryableGrpcClient::Create( - grpc_client_->Channel(), - client_call_manager.GetMainService(), - /*max_pending_requests_bytes=*/ - std::numeric_limits::max(), - /*check_channel_status_interval_milliseconds=*/ - ::RayConfig::instance().grpc_client_check_connection_status_interval_milliseconds(), - /*server_unavailable_timeout_seconds=*/ - ::RayConfig::instance().core_worker_rpc_server_reconnect_timeout_s(), - /*server_unavailable_timeout_callback=*/ - std::move(core_worker_unavailable_timeout_callback), - /*server_name=*/"Core worker " + addr_.ip_address()); -} + : addr_(std::move(address)), + grpc_client_(std::make_shared>( + addr_.ip_address(), addr_.port(), client_call_manager)), + retryable_grpc_client_(RetryableGrpcClient::Create( + grpc_client_->Channel(), + client_call_manager.GetMainService(), + /*max_pending_requests_bytes=*/std::numeric_limits::max(), + /*check_channel_status_interval_milliseconds=*/ + ::RayConfig::instance() + .grpc_client_check_connection_status_interval_milliseconds(), + /*server_unavailable_timeout_seconds=*/ + ::RayConfig::instance().core_worker_rpc_server_reconnect_timeout_s(), + /*server_unavailable_timeout_callback=*/ + std::move(core_worker_unavailable_timeout_callback), + /*server_name=*/"Core worker " + addr_.ip_address())) {} void CoreWorkerClient::PushActorTask(std::unique_ptr request, bool skip_queue, diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index 5233e4c79c63..8e9cbc46ccad 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -48,7 +48,7 @@ class CoreWorkerClientPool { const rpc::Address &addr); /// Returns an open CoreWorkerClientInterface if one exists, and connect to one - /// if it does not. The returned pointer is borrowed, and expected to be used + /// if it does not. The returned pointer is expected to be used /// briefly. std::shared_ptr GetOrConnect(const Address &addr_proto); @@ -60,14 +60,11 @@ class CoreWorkerClientPool { /// Removes connections to all workers on a node. void Disconnect(ray::NodeID node_id); - /// For testing. - size_t Size() { - absl::MutexLock lock(&mu_); - RAY_CHECK_EQ(client_list_.size(), worker_client_map_.size()); - return client_list_.size(); - } - private: + friend void AssertID(WorkerID worker_id, + CoreWorkerClientPool &client_pool, + bool contains); + /// Try to remove some idle clients to free memory. /// It doesn't go through the entire list and remove all idle clients. /// Instead, it tries to remove idle clients from the end of the list From b2d3f6499a04a08aa1b9d74f52d100e157794214 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 6 Aug 2025 13:05:17 -0700 Subject: [PATCH 0522/1566] [core] Object recovery fallback to GetAllNodeInfo if cache doesn't have addresses of secondary locations (#55112) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../runtime/object/local_mode_object_store.cc | 5 +- src/ray/core_worker/core_worker.cc | 17 ++-- src/ray/core_worker/core_worker_process.cc | 77 +++++++++++++------ src/ray/core_worker/future_resolver.cc | 9 +-- .../core_worker/object_recovery_manager.cc | 60 +++++---------- src/ray/core_worker/object_recovery_manager.h | 18 +---- .../memory_store/memory_store.cc | 6 +- .../memory_store/memory_store.h | 4 +- src/ray/core_worker/task_manager.cc | 6 +- .../test/actor_task_submitter_test.cc | 12 +-- .../test/dependency_resolver_test.cc | 26 +++---- src/ray/core_worker/test/memory_store_test.cc | 60 +++++++-------- .../test/normal_task_submitter_test.cc | 14 ++-- .../test/object_recovery_manager_test.cc | 15 ++-- .../core_worker/test/reference_count_test.cc | 4 +- 15 files changed, 164 insertions(+), 169 deletions(-) diff --git a/cpp/src/ray/runtime/object/local_mode_object_store.cc b/cpp/src/ray/runtime/object/local_mode_object_store.cc index 5bf4daddbe1b..4c6ea46e22a1 100644 --- a/cpp/src/ray/runtime/object/local_mode_object_store.cc +++ b/cpp/src/ray/runtime/object/local_mode_object_store.cc @@ -41,11 +41,8 @@ void LocalModeObjectStore::PutRaw(std::shared_ptr data, const ObjectID &object_id) { auto buffer = std::make_shared<::ray::LocalMemoryBuffer>( reinterpret_cast(data->data()), data->size(), true); - auto status = memory_store_->Put( + memory_store_->Put( ::ray::RayObject(buffer, nullptr, std::vector()), object_id); - if (!status) { - throw RayException("Put object error"); - } } std::shared_ptr LocalModeObjectStore::GetRaw(const ObjectID &object_id, diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index a503f3917abf..6ce6c9e89e30 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1078,7 +1078,7 @@ Status CoreWorker::PutInLocalPlasmaStore(const RayObject &object, RAY_RETURN_NOT_OK(plasma_store_provider_->Release(object_id)); } } - RAY_CHECK(memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id)); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); return Status::OK(); } @@ -1089,7 +1089,7 @@ Status CoreWorker::Put(const RayObject &object, RAY_RETURN_NOT_OK(WaitForActorRegistered(contained_object_ids)); if (options_.is_local_mode) { RAY_LOG(DEBUG).WithField(object_id) << "Put object in memory store"; - RAY_CHECK(memory_store_->Put(object, object_id)); + memory_store_->Put(object, object_id); return Status::OK(); } return PutInLocalPlasmaStore(object, object_id, pin_object); @@ -1180,8 +1180,7 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( } else if (*data == nullptr) { // Object already exists in plasma. Store the in-memory value so that the // client will check the plasma store. - RAY_CHECK( - memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), *object_id)); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), *object_id); } } return Status::OK(); @@ -1278,7 +1277,7 @@ Status CoreWorker::SealExisting(const ObjectID &object_id, RAY_RETURN_NOT_OK(plasma_store_provider_->Release(object_id)); reference_counter_->FreePlasmaObjects({object_id}); } - RAY_CHECK(memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id)); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); return Status::OK(); } @@ -3321,8 +3320,8 @@ Status CoreWorker::GetAndPinArgsForExecutor(const TaskSpecification &task, // NOTE: This needs to be done after adding reference to reference counter // otherwise, the put is a no-op. if (!options_.is_local_mode) { - RAY_UNUSED(memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), - task.ArgObjectId(i))); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), + task.ArgObjectId(i)); } } else { // A pass-by-value argument. @@ -4200,7 +4199,7 @@ Status CoreWorker::DeleteImpl(const std::vector &object_ids, bool loca memory_store_->Delete(object_ids); for (const auto &object_id : object_ids) { RAY_LOG(DEBUG).WithField(object_id) << "Freeing object"; - RAY_CHECK(memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_FREED), object_id)); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_FREED), object_id); } // We only delete from plasma, which avoids hangs (issue #7105). In-memory @@ -4346,7 +4345,7 @@ void CoreWorker::HandleAssignObjectOwner(rpc::AssignObjectOwnerRequest request, /*add_local_ref=*/false, /*pinned_at_raylet_id=*/NodeID::FromBinary(borrower_address.raylet_id())); reference_counter_->AddBorrowerAddress(object_id, borrower_address); - RAY_CHECK(memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id)); + memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); send_reply_callback(Status::OK(), nullptr, nullptr); } diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 72301b1e31c9..491dbdf03fe8 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -542,36 +542,65 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto actor_manager = std::make_unique( gcs_client, *actor_task_submitter, *reference_counter); - std::function - object_lookup_fn = [this, node_addr_factory](const ObjectID &object_id, - const ObjectLookupCallback &callback) { - auto core_worker = GetCoreWorker(); - std::vector locations; - const std::optional> object_locations = - core_worker->reference_counter_->GetObjectLocations(object_id); - if (object_locations.has_value()) { - locations.reserve(object_locations.value().size()); - for (const auto &node_id : object_locations.value()) { - std::optional addr = node_addr_factory(node_id); - if (addr.has_value()) { - locations.emplace_back(std::move(addr.value())); - continue; + // For the recovery manager to lookup the addresses / ports of the nodes with secondary + // copies. + auto object_lookup = [this](const ObjectID &object_id, + const ObjectLookupCallback &callback) { + auto core_worker = GetCoreWorker(); + std::vector locations; + const std::optional> object_locations = + core_worker->reference_counter_->GetObjectLocations(object_id); + std::vector nodes_to_lookup; + if (object_locations.has_value()) { + locations.reserve(object_locations->size()); + for (const auto &node_id : *object_locations) { + auto *node_info = + core_worker->gcs_client_->Nodes().Get(node_id, /*filter_dead_nodes=*/false); + if (node_info == nullptr) { + // Unsure if the node is dead, so we need to confirm with the GCS. This should + // be rare, the only foreseeable reasons are: + // 1. We filled our cache after the GCS cleared the node info due to + // maximum_gcs_dead_node_cached_count. + // 2. The node is alive but we haven't received the publish yet. + nodes_to_lookup.push_back(node_id); + continue; + } + if (node_info->state() == rpc::GcsNodeInfo::DEAD) { + continue; + } + rpc::Address addr; + addr.set_raylet_id(node_info->node_id()); + addr.set_ip_address(node_info->node_manager_address()); + addr.set_port(node_info->node_manager_port()); + locations.push_back(std::move(addr)); + } + } + if (nodes_to_lookup.empty()) { + callback(object_id, std::move(locations)); + return; + } + core_worker->gcs_client_->Nodes().AsyncGetAll( + [callback, object_id, locations = std::move(locations)]( + const Status &, const std::vector &node_infos) mutable { + for (const auto &node_info : node_infos) { + if (node_info.state() != rpc::GcsNodeInfo::DEAD) { + rpc::Address addr; + addr.set_raylet_id(node_info.node_id()); + addr.set_ip_address(node_info.node_manager_address()); + addr.set_port(node_info.node_manager_port()); + locations.push_back(std::move(addr)); } - // We're getting potentially stale locations directly from the reference - // counter, so the location might be a dead node. - RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) - << "Object location is dead, not using it in the recovery of object"; } - } - callback(object_id, std::move(locations)); - return Status::OK(); - }; + callback(object_id, std::move(locations)); + }, + -1, + nodes_to_lookup); + }; auto object_recovery_manager = std::make_unique( rpc_address, raylet_client_pool, - local_raylet_client, - object_lookup_fn, + std::move(object_lookup), *task_manager, *reference_counter, *memory_store, diff --git a/src/ray/core_worker/future_resolver.cc b/src/ray/core_worker/future_resolver.cc index 6702c7268c12..3231b9595bd9 100644 --- a/src/ray/core_worker/future_resolver.cc +++ b/src/ray/core_worker/future_resolver.cc @@ -51,15 +51,14 @@ void FutureResolver::ProcessResolvedObject(const ObjectID &object_id, if (!status.ok()) { // The owner is unreachable. Store an error so that an exception will be // thrown immediately when the worker tries to get the value. - RAY_UNUSED(in_memory_store_->Put(RayObject(rpc::ErrorType::OWNER_DIED), object_id)); + in_memory_store_->Put(RayObject(rpc::ErrorType::OWNER_DIED), object_id); } else if (reply.status() == rpc::GetObjectStatusReply::OUT_OF_SCOPE) { // The owner replied that the object has gone out of scope (this is an edge // case in the distributed ref counting protocol where a borrower dies // before it can notify the owner of another borrower). Store an error so // that an exception will be thrown immediately when the worker tries to // get the value. - RAY_UNUSED( - in_memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_DELETED), object_id)); + in_memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_DELETED), object_id); } else if (reply.status() == rpc::GetObjectStatusReply::CREATED) { // The object is either an indicator that the object is in Plasma, or // the object has been returned directly in the reply. In either @@ -105,8 +104,8 @@ void FutureResolver::ProcessResolvedObject(const ObjectID &object_id, object_id, inlined_ref.owner_address()); } - RAY_UNUSED(in_memory_store_->Put( - RayObject(data_buffer, metadata_buffer, inlined_refs), object_id)); + in_memory_store_->Put(RayObject(data_buffer, metadata_buffer, inlined_refs), + object_id); } } diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 0db6c3a602df..8aa30697d53e 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -50,7 +50,7 @@ bool ObjectRecoveryManager::RecoverObject(const ObjectID &object_id) { bool requires_recovery = pinned_at.IsNil() && !spilled; if (requires_recovery) { { - absl::MutexLock lock(&mu_); + absl::MutexLock lock(&objects_pending_recovery_mu_); // Mark that we are attempting recovery for this object to prevent // duplicate restarts of the same object. already_pending_recovery = !objects_pending_recovery_.insert(object_id).second; @@ -62,7 +62,7 @@ bool ObjectRecoveryManager::RecoverObject(const ObjectID &object_id) { in_memory_store_.GetAsync( object_id, [this, object_id](const std::shared_ptr &obj) { { - absl::MutexLock lock(&mu_); + absl::MutexLock lock(&objects_pending_recovery_mu_); RAY_CHECK(objects_pending_recovery_.erase(object_id)) << object_id; } RAY_LOG(INFO).WithField(object_id) << "Recovery complete for object"; @@ -83,8 +83,7 @@ bool ObjectRecoveryManager::RecoverObject(const ObjectID &object_id) { // (core_worker.cc removes the object from memory store before calling this method), // we need to add it back to indicate that it's available. // If the object is already in the memory store then the put is a no-op. - RAY_CHECK( - in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id)); + in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); } return true; } @@ -115,41 +114,24 @@ void ObjectRecoveryManager::PinExistingObjectCopy( RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) << "Trying to pin copy of lost object at node"; - std::shared_ptr client; - if (node_id == NodeID::FromBinary(rpc_address_.raylet_id())) { - client = local_object_pinning_client_; - } else { - absl::MutexLock lock(&mu_); - auto client_it = remote_object_pinning_clients_.find(node_id); - if (client_it == remote_object_pinning_clients_.end()) { - RAY_LOG(DEBUG).WithField(node_id) << "Connecting to raylet"; - client_it = remote_object_pinning_clients_ - .emplace(node_id, - raylet_client_pool_->GetOrConnectByAddress(raylet_address)) - .first; - } - client = client_it->second; - } - - client->PinObjectIDs( - rpc_address_, - {object_id}, - /*generator_id=*/ObjectID::Nil(), - [this, object_id, other_locations = std::move(other_locations), node_id]( - const Status &status, const rpc::PinObjectIDsReply &reply) mutable { - if (status.ok() && reply.successes(0)) { - // TODO(swang): Make sure that the node is still alive when - // marking the object as pinned. - RAY_CHECK(in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), - object_id)); - reference_counter_.UpdateObjectPinnedAtRaylet(object_id, node_id); - } else { - RAY_LOG(INFO).WithField(object_id) - << "Error pinning secondary copy of lost object due to " << status - << ", trying again with other locations"; - PinOrReconstructObject(object_id, std::move(other_locations)); - } - }); + raylet_client_pool_->GetOrConnectByAddress(raylet_address) + ->PinObjectIDs( + rpc_address_, + {object_id}, + /*generator_id=*/ObjectID::Nil(), + [this, object_id, other_locations = std::move(other_locations), node_id]( + const Status &status, const rpc::PinObjectIDsReply &reply) mutable { + if (status.ok() && reply.successes(0)) { + in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), + object_id); + reference_counter_.UpdateObjectPinnedAtRaylet(object_id, node_id); + } else { + RAY_LOG(INFO).WithField(object_id) + << "Error pinning secondary copy of lost object due to " << status + << ", trying again with other locations"; + PinOrReconstructObject(object_id, std::move(other_locations)); + } + }); } void ObjectRecoveryManager::ReconstructObject(const ObjectID &object_id) { diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index 746cfc74fbb5..ede91805c789 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -43,7 +43,6 @@ class ObjectRecoveryManager { ObjectRecoveryManager( rpc::Address rpc_address, std::shared_ptr raylet_client_pool, - std::shared_ptr local_object_pinning_client, std::function object_lookup, TaskManagerInterface &task_manager, @@ -54,7 +53,6 @@ class ObjectRecoveryManager { reference_counter_(reference_counter), rpc_address_(std::move(rpc_address)), raylet_client_pool_(std::move(raylet_client_pool)), - local_object_pinning_client_(std::move(local_object_pinning_client)), object_lookup_(std::move(object_lookup)), in_memory_store_(in_memory_store), recovery_failure_callback_(std::move(recovery_failure_callback)) {} @@ -118,12 +116,9 @@ class ObjectRecoveryManager { /// Address of our RPC server. rpc::Address rpc_address_; - /// Raylet client pool for producing new clients to pin objects at remote nodes. + /// Raylet client pool for producing clients to pin objects std::shared_ptr raylet_client_pool_; - // Client that can be used to pin objects from the local raylet. - std::shared_ptr local_object_pinning_client_; - /// Function to lookup an object's locations from the global database. std::function object_lookup_; @@ -134,16 +129,11 @@ class ObjectRecoveryManager { /// Callback to call if recovery fails. ObjectRecoveryFailureCallback recovery_failure_callback_; - /// Protects below fields. - mutable absl::Mutex mu_; - - /// Cache of gRPC clients to remote raylets for pinning objects. - absl::flat_hash_map> - remote_object_pinning_clients_ ABSL_GUARDED_BY(mu_); - /// Objects that are currently pending recovery. Calls to RecoverObject for /// objects currently in this set are idempotent. - absl::flat_hash_set objects_pending_recovery_ ABSL_GUARDED_BY(mu_); + absl::Mutex objects_pending_recovery_mu_; + absl::flat_hash_set objects_pending_recovery_ + ABSL_GUARDED_BY(objects_pending_recovery_mu_); }; } // namespace core diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index c55b6013ee92..a8cd287e55e3 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -177,7 +177,7 @@ std::shared_ptr CoreWorkerMemoryStore::GetIfExists(const ObjectID &ob return ptr; } -bool CoreWorkerMemoryStore::Put(const RayObject &object, const ObjectID &object_id) { +void CoreWorkerMemoryStore::Put(const RayObject &object, const ObjectID &object_id) { std::vector)>> async_callbacks; RAY_LOG(DEBUG).WithField(object_id) << "Putting object into memory store."; std::shared_ptr object_entry = nullptr; @@ -198,7 +198,7 @@ bool CoreWorkerMemoryStore::Put(const RayObject &object, const ObjectID &object_ auto iter = objects_.find(object_id); if (iter != objects_.end()) { - return true; // Object already exists in the store, which is fine. + return; // Object already exists in the store, which is fine. } auto async_callback_it = object_async_get_requests_.find(object_id); @@ -250,8 +250,6 @@ bool CoreWorkerMemoryStore::Put(const RayObject &object, const ObjectID &object_ } }, "CoreWorkerMemoryStore.Put.get_async_callbacks"); - - return true; } Status CoreWorkerMemoryStore::Get(const std::vector &object_ids, diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index c085f69738aa..64cdaf514c5c 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -66,9 +66,7 @@ class CoreWorkerMemoryStore { /// /// \param[in] object The ray object. /// \param[in] object_id Object ID specified by user. - /// \return Whether the object was put into the memory store. If false, then - /// this is because the object was promoted to and stored in plasma instead. - bool Put(const RayObject &object, const ObjectID &object_id); + void Put(const RayObject &object, const ObjectID &object_id); /// Get a list of objects from the object store. /// diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 689eb9fc10c2..b41e0616ba29 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -550,8 +550,7 @@ bool TaskManager::HandleTaskReturn(const ObjectID &object_id, // will choose the right raylet for any queued dependent tasks. reference_counter_.UpdateObjectPinnedAtRaylet(object_id, worker_raylet_id); // Mark it as in plasma with a dummy object. - RAY_CHECK( - in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id)); + in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); } else { // NOTE(swang): If a direct object was promoted to plasma, then we do not // record the node ID that it was pinned at, which means that we will not @@ -582,7 +581,8 @@ bool TaskManager::HandleTaskReturn(const ObjectID &object_id, if (store_in_plasma) { put_in_local_plasma_callback_(object, object_id); } else { - direct_return = in_memory_store_.Put(object, object_id); + in_memory_store_.Put(object, object_id); + direct_return = true; } } diff --git a/src/ray/core_worker/test/actor_task_submitter_test.cc b/src/ray/core_worker/test/actor_task_submitter_test.cc index 5c6e0045aca2..d4bd062a551e 100644 --- a/src/ray/core_worker/test/actor_task_submitter_test.cc +++ b/src/ray/core_worker/test/actor_task_submitter_test.cc @@ -235,11 +235,11 @@ TEST_P(ActorTaskSubmitterTest, TestDependencies) { auto data = GenerateRandomObject(); // Each Put schedules a callback onto io_context, and let's run it. - ASSERT_TRUE(store_->Put(*data, obj1)); + store_->Put(*data, obj1); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 1); - ASSERT_TRUE(store_->Put(*data, obj2)); + store_->Put(*data, obj2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 2); @@ -283,12 +283,12 @@ TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { // submission. auto data = GenerateRandomObject(); // task2 is submitted first as we allow out of order execution. - ASSERT_TRUE(store_->Put(*data, obj2)); + store_->Put(*data, obj2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 1); ASSERT_THAT(worker_client_->received_seq_nos, ElementsAre(1)); // then task1 is submitted - ASSERT_TRUE(store_->Put(*data, obj1)); + store_->Put(*data, obj1); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 2); ASSERT_THAT(worker_client_->received_seq_nos, ElementsAre(1, 0)); @@ -296,10 +296,10 @@ TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { // Put the dependencies in the store in the opposite order of task // submission. auto data = GenerateRandomObject(); - ASSERT_TRUE(store_->Put(*data, obj2)); + store_->Put(*data, obj2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 0); - ASSERT_TRUE(store_->Put(*data, obj1)); + store_->Put(*data, obj1); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 2); ASSERT_THAT(worker_client_->received_seq_nos, ElementsAre(0, 1)); diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/test/dependency_resolver_test.cc index ba817c92f675..e36d721f53d4 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/test/dependency_resolver_test.cc @@ -228,7 +228,7 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies1) { auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto data = RayObject(nullptr, meta_buffer, std::vector()); - ASSERT_TRUE(store->Put(data, obj)); + store->Put(data, obj); // Wait for the async callback to call ASSERT_TRUE(dependencies_resolved.get_future().get()); ASSERT_EQ(num_resolved, 1); @@ -269,7 +269,7 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies2) { auto meta_buffer = std::make_shared(metadata, meta.size()); auto data = RayObject(nullptr, meta_buffer, std::vector()); ASSERT_EQ(num_resolved, 0); - ASSERT_TRUE(store->Put(data, obj)); + store->Put(data, obj); for (const auto &cb : actor_creator.callbacks) { cb(Status()); @@ -294,7 +294,7 @@ TEST(LocalDependencyResolverTest, TestHandlePlasmaPromotion) { auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto data = RayObject(nullptr, meta_buffer, std::vector()); - ASSERT_TRUE(store->Put(data, obj1)); + store->Put(data, obj1); TaskSpecification task; task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); bool ok = false; @@ -323,8 +323,8 @@ TEST(LocalDependencyResolverTest, TestInlineLocalDependencies) { ObjectID obj2 = ObjectID::FromRandom(); auto data = GenerateRandomObject(); // Ensure the data is already present in the local store. - ASSERT_TRUE(store->Put(*data, obj1)); - ASSERT_TRUE(store->Put(*data, obj2)); + store->Put(*data, obj1); + store->Put(*data, obj2); TaskSpecification task; task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj2.Binary()); @@ -367,8 +367,8 @@ TEST(LocalDependencyResolverTest, TestInlinePendingDependencies) { }); ASSERT_EQ(resolver.NumPendingTasks(), 1); ASSERT_TRUE(!ok); - ASSERT_TRUE(store->Put(*data, obj1)); - ASSERT_TRUE(store->Put(*data, obj2)); + store->Put(*data, obj1); + store->Put(*data, obj2); ASSERT_TRUE(dependencies_resolved.get_future().get()); // Tests that the task proto was rewritten to have inline argument values after @@ -406,8 +406,8 @@ TEST(LocalDependencyResolverTest, TestInlinedObjectIds) { }); ASSERT_EQ(resolver.NumPendingTasks(), 1); ASSERT_TRUE(!ok); - ASSERT_TRUE(store->Put(*data, obj1)); - ASSERT_TRUE(store->Put(*data, obj2)); + store->Put(*data, obj1); + store->Put(*data, obj2); ASSERT_TRUE(dependencies_resolved.get_future().get()); // Tests that the task proto was rewritten to have inline argument values after @@ -441,7 +441,7 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { resolver.ResolveDependencies(task, [&ok](Status) { ok = true; }); ASSERT_EQ(resolver.NumPendingTasks(), 1); ASSERT_TRUE(!ok); - ASSERT_TRUE(store->Put(*data, obj1)); + store->Put(*data, obj1); ASSERT_TRUE(resolver.CancelDependencyResolution(task.TaskId())); // Callback is not called. @@ -469,7 +469,7 @@ TEST(LocalDependencyResolverTest, TestDependenciesAlreadyLocal) { ObjectID obj = ObjectID::FromRandom(); auto data = GenerateRandomObject(); - ASSERT_TRUE(store->Put(*data, obj)); + store->Put(*data, obj); TaskSpecification task; task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj.Binary()); @@ -512,8 +512,8 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { }); auto data = GenerateRandomObject(); - ASSERT_TRUE(store->Put(*data, obj1)); - ASSERT_TRUE(store->Put(*data, obj2)); + store->Put(*data, obj1); + store->Put(*data, obj2); TaskSpecification task; task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); diff --git a/src/ray/core_worker/test/memory_store_test.cc b/src/ray/core_worker/test/memory_store_test.cc index 9320c383a38a..257330888afe 100644 --- a/src/ray/core_worker/test/memory_store_test.cc +++ b/src/ray/core_worker/test/memory_store_test.cc @@ -51,7 +51,7 @@ TEST(TestMemoryStore, TestReportUnhandledErrors) { InstrumentedIOContextWithThread io_context("TestReportUnhandledErrors"); - std::shared_ptr provider = + std::shared_ptr memory_store = std::make_shared( io_context.GetIoService(), nullptr, @@ -64,44 +64,44 @@ TEST(TestMemoryStore, TestReportUnhandledErrors) { auto id2 = ObjectID::FromRandom(); // Check basic put and get. - ASSERT_TRUE(provider->GetIfExists(id1) == nullptr); - RAY_CHECK(provider->Put(obj1, id1)); - RAY_CHECK(provider->Put(obj2, id2)); - ASSERT_TRUE(provider->GetIfExists(id1) != nullptr); + ASSERT_TRUE(memory_store->GetIfExists(id1) == nullptr); + memory_store->Put(obj1, id1); + memory_store->Put(obj2, id2); + ASSERT_TRUE(memory_store->GetIfExists(id1) != nullptr); ASSERT_EQ(unhandled_count, 0); // Check delete without get. - provider->Delete({id1, id2}); + memory_store->Delete({id1, id2}); ASSERT_EQ(unhandled_count, 1); unhandled_count = 0; // Check delete after get. - RAY_CHECK(provider->Put(obj1, id1)); - RAY_CHECK(provider->Put(obj1, id2)); - RAY_UNUSED(provider->Get({id1}, 1, 100, context, false, &results)); - RAY_UNUSED(provider->Get({id2}, 1, 100, context, false, &results)); - provider->Delete({id1, id2}); + memory_store->Put(obj1, id1); + memory_store->Put(obj1, id2); + RAY_UNUSED(memory_store->Get({id1}, 1, 100, context, false, &results)); + RAY_UNUSED(memory_store->Get({id2}, 1, 100, context, false, &results)); + memory_store->Delete({id1, id2}); ASSERT_EQ(unhandled_count, 0); // Check delete after async get. - provider->GetAsync({id2}, [](std::shared_ptr obj) {}); - RAY_CHECK(provider->Put(obj1, id1)); - RAY_CHECK(provider->Put(obj2, id2)); - provider->GetAsync({id1}, [](std::shared_ptr obj) {}); - provider->Delete({id1, id2}); + memory_store->GetAsync({id2}, [](std::shared_ptr obj) {}); + memory_store->Put(obj1, id1); + memory_store->Put(obj2, id2); + memory_store->GetAsync({id1}, [](std::shared_ptr obj) {}); + memory_store->Delete({id1, id2}); ASSERT_EQ(unhandled_count, 0); } TEST(TestMemoryStore, TestMemoryStoreStats) { /// Simple validation for test memory store stats. - auto provider = DefaultCoreWorkerMemoryStoreWithThread::Create(); + auto memory_store = DefaultCoreWorkerMemoryStoreWithThread::Create(); // Iterate through the memory store and compare the values that are obtained by // GetMemoryStoreStatisticalData. auto fill_expected_memory_stats = [&](MemoryStoreStats &expected_item) { { - absl::MutexLock lock(&provider->mu_); - for (const auto &it : provider->objects_) { + absl::MutexLock lock(&memory_store->mu_); + for (const auto &it : memory_store->objects_) { if (it.second->IsInPlasmaError()) { expected_item.num_in_plasma += 1; } else { @@ -119,34 +119,34 @@ TEST(TestMemoryStore, TestMemoryStoreStats) { auto id2 = ObjectID::FromRandom(); auto id3 = ObjectID::FromRandom(); - RAY_CHECK(provider->Put(obj1, id1)); - RAY_CHECK(provider->Put(obj2, id2)); - RAY_CHECK(provider->Put(obj3, id3)); - provider->Delete({id3}); + memory_store->Put(obj1, id1); + memory_store->Put(obj2, id2); + memory_store->Put(obj3, id3); + memory_store->Delete({id3}); MemoryStoreStats expected_item; fill_expected_memory_stats(expected_item); - MemoryStoreStats item = provider->GetMemoryStoreStatisticalData(); + MemoryStoreStats item = memory_store->GetMemoryStoreStatisticalData(); ASSERT_EQ(item.num_in_plasma, expected_item.num_in_plasma); ASSERT_EQ(item.num_local_objects, expected_item.num_local_objects); ASSERT_EQ(item.num_local_objects_bytes, expected_item.num_local_objects_bytes); // Delete all other objects and see if stats are recorded correctly. - provider->Delete({id1, id2}); + memory_store->Delete({id1, id2}); MemoryStoreStats expected_item2; fill_expected_memory_stats(expected_item2); - item = provider->GetMemoryStoreStatisticalData(); + item = memory_store->GetMemoryStoreStatisticalData(); ASSERT_EQ(item.num_in_plasma, expected_item2.num_in_plasma); ASSERT_EQ(item.num_local_objects, expected_item2.num_local_objects); ASSERT_EQ(item.num_local_objects_bytes, expected_item2.num_local_objects_bytes); - RAY_CHECK(provider->Put(obj1, id1)); - RAY_CHECK(provider->Put(obj2, id2)); - RAY_CHECK(provider->Put(obj3, id3)); + memory_store->Put(obj1, id1); + memory_store->Put(obj2, id2); + memory_store->Put(obj3, id3); MemoryStoreStats expected_item3; fill_expected_memory_stats(expected_item3); - item = provider->GetMemoryStoreStatisticalData(); + item = memory_store->GetMemoryStoreStatisticalData(); ASSERT_EQ(item.num_in_plasma, expected_item3.num_in_plasma); ASSERT_EQ(item.num_local_objects, expected_item3.num_local_objects); ASSERT_EQ(item.num_local_objects_bytes, expected_item3.num_local_objects_bytes); diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index fffae16752bc..c53997aced6e 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -1566,16 +1566,16 @@ TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { ObjectID plasma2 = ObjectID::FromRandom(); // Ensure the data is already present in the local store for direct call objects. auto data = GenerateRandomObject(); - ASSERT_TRUE(store->Put(*data, direct1)); - ASSERT_TRUE(store->Put(*data, direct2)); + store->Put(*data, direct1); + store->Put(*data, direct2); // Force plasma objects to be promoted. std::string meta = std::to_string(static_cast(rpc::ErrorType::OBJECT_IN_PLASMA)); auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto plasma_data = RayObject(nullptr, meta_buffer, std::vector()); - ASSERT_TRUE(store->Put(plasma_data, plasma1)); - ASSERT_TRUE(store->Put(plasma_data, plasma2)); + store->Put(plasma_data, plasma1); + store->Put(plasma_data, plasma2); TaskSpecification same_deps_1 = BuildTaskSpec(resources1, descriptor1); same_deps_1.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( @@ -1628,8 +1628,8 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto plasma_data = RayObject(nullptr, meta_buffer, std::vector()); - ASSERT_TRUE(store->Put(plasma_data, plasma1)); - ASSERT_TRUE(store->Put(plasma_data, plasma2)); + store->Put(plasma_data, plasma1); + store->Put(plasma_data, plasma2); // Same SchedulingClass, different SchedulingKey TaskSpecification task2 = BuildTaskSpec(resources1, descriptor1); @@ -1794,7 +1794,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillResolvingTask) { ASSERT_EQ(task_manager->num_inlined_dependencies, 0); ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); auto data = GenerateRandomObject(); - ASSERT_TRUE(store->Put(*data, obj1)); + store->Put(*data, obj1); WaitForObjectIdInMemoryStore(*store, obj1); ASSERT_EQ(worker_client->kill_requests.size(), 0); ASSERT_EQ(worker_client->callbacks.size(), 0); diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index 3a5eb45b81b5..12317e359692 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -142,7 +142,6 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { manager_( rpc::Address(), raylet_client_pool_, - raylet_client_, [&](const ObjectID &object_id, const ObjectLookupCallback &callback) { object_directory_->AsyncGetLocations(object_id, callback); }, @@ -161,7 +160,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { std::make_shared(metadata, meta.size()); auto data = RayObject(nullptr, meta_buffer, std::vector()); - RAY_CHECK(memory_store_->Put(data, object_id)); + memory_store_->Put(data, object_id); }) { ref_counter_->SetReleaseLineageCallback( [](const ObjectID &, std::vector *args) { return 0; }); @@ -237,8 +236,9 @@ TEST_F(ObjectRecoveryLineageDisabledTest, TestPinNewCopy) { 0, true, /*add_local_ref=*/true); - std::vector addresses({rpc::Address()}); - object_directory_->SetLocations(object_id, addresses); + rpc::Address address; + address.set_raylet_id(NodeID::FromRandom().Binary()); + object_directory_->SetLocations(object_id, {address}); ASSERT_TRUE(manager_.RecoverObject(object_id)); ASSERT_EQ(object_directory_->Flush(), 1); @@ -256,8 +256,11 @@ TEST_F(ObjectRecoveryManagerTest, TestPinNewCopy) { 0, true, /*add_local_ref=*/true); - std::vector addresses({rpc::Address(), rpc::Address()}); - object_directory_->SetLocations(object_id, addresses); + rpc::Address address1; + address1.set_raylet_id(NodeID::FromRandom().Binary()); + rpc::Address address2; + address2.set_raylet_id(NodeID::FromRandom().Binary()); + object_directory_->SetLocations(object_id, {address1, address2}); ASSERT_TRUE(manager_.RecoverObject(object_id)); ASSERT_EQ(object_directory_->Flush(), 1); diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/test/reference_count_test.cc index 070cdf57bf97..296350de20cb 100644 --- a/src/ray/core_worker/test/reference_count_test.cc +++ b/src/ray/core_worker/test/reference_count_test.cc @@ -834,12 +834,12 @@ TEST(MemoryStoreIntegrationTest, TestSimple) { CoreWorkerMemoryStore store(io_context.GetIoService(), rc.get()); // Tests putting an object with no references is ignored. - RAY_CHECK(store.Put(buffer, id2)); + store.Put(buffer, id2); ASSERT_EQ(store.Size(), 0); // Tests ref counting overrides remove after get option. rc->AddLocalReference(id1, ""); - RAY_CHECK(store.Put(buffer, id1)); + store.Put(buffer, id1); ASSERT_EQ(store.Size(), 1); std::vector> results; WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::Nil()); From a5d65045aa9ca631b65d02cdc0733b8358bdcc0a Mon Sep 17 00:00:00 2001 From: Rueian Date: Wed, 6 Aug 2025 13:15:37 -0700 Subject: [PATCH 0523/1566] [core] fix the mixed-type arithmetic on max_restarts, num_restarts, and preemptions (#55290) Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 966e0fc133e3..c1955578fedf 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -1447,7 +1447,8 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, remaining_restarts = -1; } else { // Restarts due to node preemption do not count towards max_restarts. - int64_t remaining = max_restarts - num_restarts + num_restarts_due_to_node_preemption; + const auto effective_restarts = num_restarts - num_restarts_due_to_node_preemption; + int64_t remaining = max_restarts - static_cast(effective_restarts); remaining_restarts = std::max(remaining, static_cast(0)); } From 6c529d02e559cda3ce716f89bc9e5e49c90360d0 Mon Sep 17 00:00:00 2001 From: Goku Mohandas Date: Wed, 6 Aug 2025 13:43:47 -0700 Subject: [PATCH 0524/1566] fixing ner llm example by adding aws region info to serve llm config (#55293) Signed-off-by: Douglas Strodtman --- .../examples/entity-recognition-with-llms/README.ipynb | 5 ++++- .../examples/entity-recognition-with-llms/README.md | 2 ++ 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb index 34b75db367f7..c7aa09818073 100644 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.ipynb @@ -1501,7 +1501,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Define an [LLM config](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) where you can define where the model comes from, it's [autoscaling behavior](https://docs.ray.io/en/latest/serve/autoscaling-guide.html#serve-autoscaling), what hardware to use and [engine arguments](https://docs.vllm.ai/en/stable/serving/engine_args.html)." + "Define an [LLM config](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) where you can define where the model comes from, its [autoscaling behavior](https://docs.ray.io/en/latest/serve/autoscaling-guide.html#serve-autoscaling), what hardware to use and [engine arguments](https://docs.vllm.ai/en/stable/serving/engine_args.html).\n", + "\n", + "**Note**: If you're using AWS S3, replace `AWS_REGION` in the `runtime_env`'s `env_vars` below with the cloud storage and respective region you saved your model artifacts to. Do the same if using other cloud storage options as well." ] }, { @@ -1520,6 +1522,7 @@ " \"dynamic_lora_loading_path\": dynamic_lora_path,\n", " \"max_num_adapters_per_replica\": 16, # You only have 1.\n", " },\n", + " runtime_env={\"env_vars\": {\"AWS_REGION\": \"us-west-2\"}},\n", " # runtime_env={\"env_vars\": {\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}},\n", " deployment_config={\n", " \"autoscaling_config\": {\n", diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md index c684310e8a39..2bddb8783865 100644 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/README.md @@ -961,6 +961,7 @@ from ray.serve.llm import LLMConfig, build_openai_app Define an [LLM config](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) where you can define where the model comes from, it's [autoscaling behavior](https://docs.ray.io/en/latest/serve/autoscaling-guide.html#serve-autoscaling), what hardware to use and [engine arguments](https://docs.vllm.ai/en/stable/serving/engine_args.html). +**Note**: If you're using AWS S3, replace `AWS_REGION` in the `runtime_env`'s `env_vars` below with the cloud storage and respective region you saved your model artifacts to. Do the same if using other cloud storage options as well. ```python # Define config. @@ -973,6 +974,7 @@ llm_config = LLMConfig( "dynamic_lora_loading_path": dynamic_lora_path, "max_num_adapters_per_replica": 16, # You only have 1. }, + runtime_env={"env_vars": {"AWS_REGION": "us-west-2"}}, # runtime_env={"env_vars": {"HF_TOKEN": os.environ.get("HF_TOKEN")}}, deployment_config={ "autoscaling_config": { From e13b6bfd0fba716436a7000b017202a8dea80f21 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 6 Aug 2025 13:48:28 -0700 Subject: [PATCH 0525/1566] [core] Don't make an ipc on get if nothing to get from plasma (#55270) We'll make this call to the plasma store provider on a ray.get regardless of the size of plasma_object_ids. https://github.com/ray-project/ray/blob/f9d3ae612b370e5c8f92a446e3647679638ab829/src/ray/core_worker/core_worker.cc#L1462 And then the plasma store provider will call this if it's empty. And UnblockIfNeeded could make an unnecessary ipc. https://github.com/ray-project/ray/blob/7c7222ef944078bf6c3a45519178a902b614e55b/src/ray/core_worker/store_provider/plasma_store_provider.cc#L312 Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 6ce6c9e89e30..4963645e86f5 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1448,7 +1448,7 @@ Status CoreWorker::GetObjects(const std::vector &ids, } } - if (!got_exception) { + if (!got_exception && !plasma_object_ids.empty()) { // If any of the objects have been promoted to plasma, then we retry their // gets at the provider plasma. Once we get the objects from plasma, we flip // the transport type again and return them for the original direct call ids. From db0efedb588f8eb28fed04a0dda9712f39016d14 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Wed, 6 Aug 2025 14:05:42 -0700 Subject: [PATCH 0526/1566] [Core] Use enum class in cython (#55299) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/includes/common.pxd | 4 +--- python/ray/includes/gcs_client.pxi | 2 -- 2 files changed, 1 insertion(+), 5 deletions(-) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 91360dfd990b..c393e6c783fe 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -44,10 +44,8 @@ cdef extern from * namespace "polyfill" nogil: cdef extern from "ray/common/status.h" namespace "ray" nogil: - # TODO(ryw) in Cython 3.x we can directly use `cdef enum class CStatusCode` - cdef cppclass CStatusCode "ray::StatusCode": + cdef enum class CStatusCode "ray::StatusCode": pass - cdef CStatusCode CStatusCode_OK "ray::StatusCode::OK" c_bool operator==(CStatusCode lhs, CStatusCode rhs) cdef cppclass CRayStatus "ray::Status": diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index ebd488f34391..8c3ecbfe741f 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -23,8 +23,6 @@ from ray.includes.common cimport ( CGcsClient, CGetAllResourceUsageReply, ConnectOnSingletonIoContext, - CStatusCode, - CStatusCode_OK, MultiItemPyCallback, OptionalItemPyCallback, StatusPyCallback, From f6ee3e4f3b3b980a09922900893b7fa879137766 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 6 Aug 2025 14:13:46 -0700 Subject: [PATCH 0527/1566] [llm] use uv to build the python dependencies inside the image (#55235) - move nixl out into normal llm dependencies - and upgrade meson to 1.8.3; 1.8.0 version is yanked Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/ray-llm/Dockerfile | 14 ++++++++------ python/requirements/llm/llm-requirements.txt | 3 +++ .../requirements_compiled_rayllm_py311_cpu.txt | 16 +++++++++++++--- .../requirements_compiled_rayllm_py311_cu121.txt | 16 +++++++++++++--- .../requirements_compiled_rayllm_py311_cu128.txt | 16 +++++++++++++--- ...quirements_compiled_rayllm_test_py311_cpu.txt | 14 +++++++++++--- ...irements_compiled_rayllm_test_py311_cu121.txt | 14 +++++++++++--- ...irements_compiled_rayllm_test_py311_cu128.txt | 14 +++++++++++--- 8 files changed, 83 insertions(+), 24 deletions(-) diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index cf99279e32e5..a1e4595724de 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -26,7 +26,9 @@ if [[ "${PYTHON_CODE}" != "py311" ]]; then exit 1 fi -pip install --no-deps -r "requirements_compiled_rayllm_${PYTHON_CODE}_${CUDA_CODE}.txt" +uv pip install --system --no-cache-dir --no-deps \ + --index-strategy unsafe-best-match \ + -r "requirements_compiled_rayllm_${PYTHON_CODE}_${CUDA_CODE}.txt" # Export installed packages $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt @@ -43,7 +45,7 @@ mkdir -p "${TEMP_DIR}" sudo apt-get update # kmod needed by nvidia-installer, pkg-config needed by GDRCopy, librdmacm-dev needed by UCX -sudo apt-get install -y kmod pkg-config librdmacm-dev +sudo apt-get install -y kmod pkg-config librdmacm-dev cmake ( echo "Installing GDRCopy" @@ -106,6 +108,7 @@ UCX_VERSION="1.18.1" sudo ldconfig ) +# Keep in sync with llm-requirements.txt NIXL_VERSION="0.3.1" ( echo "Installing NIXL ${NIXL_VERSION}" @@ -118,7 +121,6 @@ NIXL_VERSION="0.3.1" cd build ninja sudo env "PATH=$PATH" ninja install - pip install --no-cache-dir "nixl==${NIXL_VERSION}" ) sudo rm -rf "${TEMP_DIR}" @@ -129,9 +131,6 @@ NVSHMEM_VERSION="3.2.5-1" ( echo "Installing NVSHMEM ${NVSHMEM_VERSION}" - # install dependencies if not installed - pip3 install cmake - cd "${EP_TEMP_DIR}" mkdir -p nvshmem_src wget https://developer.download.nvidia.com/compute/redist/nvshmem/3.2.5/source/nvshmem_src_${NVSHMEM_VERSION}.txz @@ -186,6 +185,9 @@ NVSHMEM_VERSION="3.2.5-1" rm -rf "${EP_TEMP_DIR}" +sudo rm -rf /var/lib/apt/lists/* +sudo apt-get clean + EOF # Q: Why add paths that don't exist in the base image, like /usr/local/nvidia/lib64 diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index 9bbfa41fbe8b..6bfb50ba15b3 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -10,3 +10,6 @@ typer meson pybind11 hf_transfer + +# nixl version Needs to be in sync with the one in ray-llm/Dockerfile +nixl==0.3.1 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index bba888ddd4ad..fdb97454dc5f 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1382,9 +1382,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -meson==1.8.0 \ - --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ - --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt @@ -1626,6 +1626,14 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ --hash=sha256:3945615cd73c2c7eba2a85ccc9c1730c21cd3958bfcf5a44302abae0fb07bb60 \ @@ -1696,6 +1704,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -3223,6 +3232,7 @@ torch==2.7.1+cpu \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # compressed-tensors + # nixl # torchaudio # torchvision # vllm diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index c1d97bcf0776..d1c1b244339d 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1382,9 +1382,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -meson==1.8.0 \ - --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ - --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt @@ -1626,6 +1626,14 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ --hash=sha256:3945615cd73c2c7eba2a85ccc9c1730c21cd3958bfcf5a44302abae0fb07bb60 \ @@ -1696,6 +1704,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -3344,6 +3353,7 @@ torch==2.7.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # compressed-tensors + # nixl # torchaudio # torchvision # vllm diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 3ca901b810c5..bd0e8e06ffe4 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1348,9 +1348,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -meson==1.8.2 \ - --hash=sha256:274b49dbe26e00c9a591442dd30f4ae9da8ce11ce53d0f4682cd10a45d50f6fd \ - --hash=sha256:c105816d8158c76b72adcb9ff60297719096da7d07f6b1f000fd8c013cd387af +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt @@ -1590,6 +1590,14 @@ ninja==1.11.1.4 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ --hash=sha256:3945615cd73c2c7eba2a85ccc9c1730c21cd3958bfcf5a44302abae0fb07bb60 \ @@ -1660,6 +1668,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -3262,6 +3271,7 @@ torch==2.7.1+cu128 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # compressed-tensors + # nixl # torchaudio # torchvision # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index db67f7b5af3a..98267657317d 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1979,9 +1979,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -meson==1.8.0 \ - --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ - --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ @@ -2275,6 +2275,12 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 @@ -2355,6 +2361,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -4158,6 +4165,7 @@ torch==2.7.1+cpu \ --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef # via # compressed-tensors + # nixl # torchaudio # torchvision # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index da28ec6dca10..e862657ac96d 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1979,9 +1979,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -meson==1.8.0 \ - --hash=sha256:0a9b23311271519bd03dca12d7d8b0eab582c3a2c5da433d465b6e519dc88e2f \ - --hash=sha256:472b7b25da286447333d32872b82d1c6f1a34024fb8ee017d7308056c25fec1f +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ @@ -2275,6 +2275,12 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 @@ -2355,6 +2361,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -4254,6 +4261,7 @@ torch==2.7.1 \ --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d # via # compressed-tensors + # nixl # torchaudio # torchvision # vllm diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index dd017f748185..2d7544591c7f 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1944,9 +1944,9 @@ memray==1.10.0 ; sys_platform != 'win32' \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -meson==1.8.2 \ - --hash=sha256:274b49dbe26e00c9a591442dd30f4ae9da8ce11ce53d0f4682cd10a45d50f6fd \ - --hash=sha256:c105816d8158c76b72adcb9ff60297719096da7d07f6b1f000fd8c013cd387af +meson==1.8.3 \ + --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ + --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ @@ -2238,6 +2238,12 @@ ninja==1.11.1.4 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar +nixl==0.3.1 \ + --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ + --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ + --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ + --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 + # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 @@ -2318,6 +2324,7 @@ numpy==1.26.4 \ # gymnasium # imageio # mistral-common + # nixl # numba # opencv-python-headless # pandas @@ -4171,6 +4178,7 @@ torch==2.7.1+cu128 \ --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 # via # compressed-tensors + # nixl # torchaudio # torchvision # vllm From e5d118ad6b52e0428af6cedd3777921ce4159c34 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Wed, 6 Aug 2025 14:28:38 -0700 Subject: [PATCH 0528/1566] [core][common] Change spammy log line from INFO to DEBUG in syncer (#55305) It was observed in a large cluster deployment to be unnecessary and Signed-off-by: Douglas Strodtman --- src/ray/common/ray_syncer/ray_syncer.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/common/ray_syncer/ray_syncer.cc b/src/ray/common/ray_syncer/ray_syncer.cc index 479386567a65..8fadae0f9957 100644 --- a/src/ray/common/ray_syncer/ray_syncer.cc +++ b/src/ray/common/ray_syncer/ray_syncer.cc @@ -245,7 +245,7 @@ ServerBidiReactor *RaySyncerService::StartSync(grpc::CallbackServerContext *cont RAY_LOG(INFO).WithField(NodeID::FromBinary(node_id)) << "Connection is broken."; syncer_.node_state_->RemoveNode(node_id); }); - RAY_LOG(INFO).WithField(NodeID::FromBinary(reactor->GetRemoteNodeID())) + RAY_LOG(DEBUG).WithField(NodeID::FromBinary(reactor->GetRemoteNodeID())) << "Get connection"; // Disconnect exiting connection if there is any. // This can happen when there is transient network error From 1a5d98b264ed41eff39bc5bac3e61245b49850aa Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 6 Aug 2025 18:42:27 -0400 Subject: [PATCH 0529/1566] [Data] Added support for Anti/Semi Join types (#55272) ## Why are these changes needed? Added support for Anti/Semi Join Types. ## Related issue number Addresses request to support Anti joins from https://github.com/ray-project/ray/issues/55172 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- doc/source/data/joining-data.rst | 16 +- .../_internal/execution/operators/join.py | 4 + .../logical/operators/join_operator.py | 9 +- python/ray/data/dataset.py | 53 ++++- python/ray/data/tests/test_join.py | 201 ++++++++++++++++-- 5 files changed, 263 insertions(+), 20 deletions(-) diff --git a/doc/source/data/joining-data.rst b/doc/source/data/joining-data.rst index 7e5961b2f6d0..f9222ae74173 100644 --- a/doc/source/data/joining-data.rst +++ b/doc/source/data/joining-data.rst @@ -6,8 +6,7 @@ Joining datasets .. note:: This is a new feature released in Ray 2.46. Note, this is an experimental feature and some things might not work as expected. -Ray Data allows multiple :class:`~ray.data.dataset.Dataset` instances to be joined using different join types (left/right/full outer, inner, etc) based -on the provided key columns like following: +Ray Data allows multiple :class:`~ray.data.dataset.Dataset` instances to be joined using different join types (inner, outer, semi, anti) based on the provided key columns like following: .. testcode:: @@ -28,6 +27,19 @@ on the provided key columns like following: on=("id",), ) +Ray Data supports following join types (check out `Dataset.join` docs for up-to-date list): + +**Inner/Outer Joins:** +- Inner, Left Outer, Right Outer, Full Outer + +**Semi Joins:** +- Left Semi, Right Semi (returns all rows that have at least one matching row in the other table, +only returning columns from the requested side) + +**Anti Joins:** +- Left Anti, Right Anti (return rows that have no matching rows in the other table, only returning +columns from the requested side) + Internally joins are currently powered by the :ref:`hash-shuffle backend `. Configuring Joins diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 52e9b763db6b..4df575480fb0 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -18,6 +18,10 @@ JoinType.LEFT_OUTER: "left outer", JoinType.RIGHT_OUTER: "right outer", JoinType.FULL_OUTER: "full outer", + JoinType.LEFT_SEMI: "left semi", + JoinType.RIGHT_SEMI: "right semi", + JoinType.LEFT_ANTI: "left anti", + JoinType.RIGHT_ANTI: "right anti", } diff --git a/python/ray/data/_internal/logical/operators/join_operator.py b/python/ray/data/_internal/logical/operators/join_operator.py index 8058c1867546..eeca27044f52 100644 --- a/python/ray/data/_internal/logical/operators/join_operator.py +++ b/python/ray/data/_internal/logical/operators/join_operator.py @@ -13,6 +13,10 @@ class JoinType(Enum): LEFT_OUTER = "left_outer" RIGHT_OUTER = "right_outer" FULL_OUTER = "full_outer" + LEFT_SEMI = "left_semi" + RIGHT_SEMI = "right_semi" + LEFT_ANTI = "left_anti" + RIGHT_ANTI = "right_anti" class Join(NAry): @@ -36,8 +40,9 @@ def __init__( Args: left_input_op: The input operator at left hand side. right_input_op: The input operator at right hand side. - join_type: The kind of join that should be performed, one of (“inner”, - “left_outer”, “right_outer”, “full_outer”). + join_type: The kind of join that should be performed, one of ("inner", + "left_outer", "right_outer", "full_outer", "left_semi", "right_semi", + "left_anti", "right_anti"). left_key_columns: The columns from the left Dataset that should be used as keys of the join operation. right_key_columns: The columns from the right Dataset that should be used as diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index f9388af9c1e9..30404812aea3 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -2465,7 +2465,8 @@ def join( Args: ds: Other dataset to join against join_type: The kind of join that should be performed, one of ("inner", - "left_outer", "right_outer", "full_outer") + "left_outer", "right_outer", "full_outer", "left_semi", "right_semi", + "left_anti", "right_anti"). num_partitions: Total number of "partitions" input sequences will be split into with each partition being joined independently. Increasing number of partitions allows to reduce individual partition size, hence reducing @@ -2510,6 +2511,7 @@ def join( lambda row: {"id": row["id"], "square": int(row["id"]) ** 2} ) + # Inner join example joined_ds = doubles_ds.join( squares_ds, join_type="inner", @@ -2528,6 +2530,55 @@ def join( {'id': 2, 'double': 4, 'square': 4}, {'id': 3, 'double': 6, 'square': 9} ] + + .. testcode:: + :skipif: True + + # Left anti-join example: find rows in doubles_ds that don't match squares_ds + partial_squares_ds = ray.data.range(2).map( + lambda row: {"id": row["id"] + 2, "square": int(row["id"]) ** 2} + ) + + anti_joined_ds = doubles_ds.join( + partial_squares_ds, + join_type="left_anti", + num_partitions=2, + on=("id",), + ) + + print(sorted(anti_joined_ds.take_all(), key=lambda item: item["id"])) + + .. testoutput:: + :options: +ELLIPSIS, +NORMALIZE_WHITESPACE + + [ + {'id': 0, 'double': 0}, + {'id': 1, 'double': 2} + ] + + .. testcode:: + :skipif: True + + # Left semi-join example: find rows in doubles_ds that have matches in squares_ds + # (only returns columns from left dataset) + semi_joined_ds = doubles_ds.join( + squares_ds, + join_type="left_semi", + num_partitions=2, + on=("id",), + ) + + print(sorted(semi_joined_ds.take_all(), key=lambda item: item["id"])) + + .. testoutput:: + :options: +ELLIPSIS, +NORMALIZE_WHITESPACE + + [ + {'id': 0, 'double': 0}, + {'id': 1, 'double': 2}, + {'id': 2, 'double': 4}, + {'id': 3, 'double': 6} + ] """ if not isinstance(on, (tuple, list)): diff --git a/python/ray/data/tests/test_join.py b/python/ray/data/tests/test_join.py index 1197eae6e1df..95d44e905914 100644 --- a/python/ray/data/tests/test_join.py +++ b/python/ray/data/tests/test_join.py @@ -89,6 +89,10 @@ def test_simple_inner_join( [ "left_outer", "right_outer", + "left_semi", + "right_semi", + "left_anti", + "right_anti", ], ) @pytest.mark.parametrize( @@ -102,7 +106,7 @@ def test_simple_inner_join( (32, 1), ], ) -def test_simple_left_right_outer_join( +def test_simple_left_right_outer_semi_anti_join( ray_start_regular_shared_2_cpus, nullify_shuffle_aggregator_num_cpus, join_type, @@ -127,18 +131,38 @@ def test_simple_left_right_outer_join( # Join using Pandas (to assert against) if join_type == "left_outer": - pd_join_type = "left" - squares_pd = squares_pd.set_index("id") + expected_pd = doubles_pd.join( + squares_pd.set_index("id"), on="id", how="left" + ).reset_index(drop=True) elif join_type == "right_outer": - pd_join_type = "right" - doubles_pd = doubles_pd.set_index("id") + expected_pd = ( + doubles_pd.set_index("id") + .join(squares_pd, on="id", how="right") + .reset_index(drop=True) + ) + elif join_type == "left_semi": + # Left semi: left rows that have matches in right (left columns only) + merged = doubles_pd.merge(squares_pd, on="id", how="inner") + expected_pd = merged[["id", "double"]].drop_duplicates().reset_index(drop=True) + elif join_type == "right_semi": + # Right semi: right rows that have matches in left (right columns only) + merged = doubles_pd.merge(squares_pd, on="id", how="inner") + expected_pd = merged[["id", "square"]].drop_duplicates().reset_index(drop=True) + elif join_type == "left_anti": + # Left anti: left rows that don't have matches in right + merged = doubles_pd.merge(squares_pd, on="id", how="left", indicator=True) + expected_pd = merged[merged["_merge"] == "left_only"][ + ["id", "double"] + ].reset_index(drop=True) + elif join_type == "right_anti": + # Right anti: right rows that don't have matches in left + merged = doubles_pd.merge(squares_pd, on="id", how="right", indicator=True) + expected_pd = merged[merged["_merge"] == "right_only"][ + ["id", "square"] + ].reset_index(drop=True) else: raise ValueError(f"Unsupported join type: {join_type}") - expected_pd = doubles_pd.join(squares_pd, on="id", how=pd_join_type).reset_index( - drop=True - ) - # Join using Ray Data joined: Dataset = doubles.join( squares, @@ -149,10 +173,15 @@ def test_simple_left_right_outer_join( joined_pd = pd.DataFrame(joined.take_all()) - # Sort resulting frame and reset index (to be able to compare with expected one) - joined_pd_sorted = joined_pd.sort_values(by=["id"]).reset_index(drop=True) + # Handle empty results from Ray Data which may not preserve schema + if len(joined_pd) == 0 and len(expected_pd) == 0: + pass + else: + # Sort resulting frame and reset index (to be able to compare with expected one) + joined_pd_sorted = joined_pd.sort_values(by=["id"]).reset_index(drop=True) + expected_pd_sorted = expected_pd.sort_values(by=["id"]).reset_index(drop=True) - pd.testing.assert_frame_equal(expected_pd, joined_pd_sorted) + pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) @pytest.mark.parametrize( @@ -206,10 +235,15 @@ def test_simple_full_outer_join( joined_pd = pd.DataFrame(joined.take_all()) - # Sort resulting frame and reset index (to be able to compare with expected one) - joined_pd_sorted = joined_pd.sort_values(by=["id"]).reset_index(drop=True) + # Handle empty results from Ray Data which may not preserve schema + if len(joined_pd) == 0 and len(expected_pd) == 0: + pass + else: + # Sort resulting frame and reset index (to be able to compare with expected one) + joined_pd_sorted = joined_pd.sort_values(by=["id"]).reset_index(drop=True) + expected_pd_sorted = expected_pd.sort_values(by=["id"]).reset_index(drop=True) - pd.testing.assert_frame_equal(expected_pd, joined_pd_sorted) + pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) @pytest.mark.parametrize("left_suffix", [None, "_left"]) @@ -395,6 +429,143 @@ def test_default_shuffle_aggregator_args(): } == args +@pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) +def test_anti_join_no_matches( + ray_start_regular_shared_2_cpus, + nullify_shuffle_aggregator_num_cpus, + join_type, +): + """Test anti-join when there are no matches - should return all rows from respective side""" + DataContext.get_current().target_max_block_size = 1 * MiB + + doubles = ray.data.range(32).map( + lambda row: {"id": row["id"], "double": int(row["id"]) * 2} + ) + + # Create squares with completely different keys + squares = ray.data.range(32).map( + lambda row: {"id": row["id"] + 100, "square": int(row["id"]) ** 2} + ) + + # Anti-join should return all rows from respective side + joined: Dataset = doubles.join( + squares, + join_type=join_type, + num_partitions=4, + on=("id",), + ) + + joined_pd = pd.DataFrame(joined.take_all()) + + if join_type == "left_anti": + expected_pd = doubles.to_pandas() + else: # right_anti + expected_pd = squares.to_pandas() + + # Should get all rows from the respective table + joined_pd_sorted = joined_pd.sort_values(by=["id"]).reset_index(drop=True) + expected_pd_sorted = expected_pd.sort_values(by=["id"]).reset_index(drop=True) + + pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) + + +@pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) +def test_anti_join_all_matches( + ray_start_regular_shared_2_cpus, + nullify_shuffle_aggregator_num_cpus, + join_type, +): + """Test anti-join when all rows match - should return empty result""" + DataContext.get_current().target_max_block_size = 1 * MiB + + doubles = ray.data.range(32).map( + lambda row: {"id": row["id"], "double": int(row["id"]) * 2} + ) + + squares = ray.data.range(32).map( + lambda row: {"id": row["id"], "square": int(row["id"]) ** 2} + ) + + # Anti-join should return no rows since all keys match + joined: Dataset = doubles.join( + squares, + join_type=join_type, + num_partitions=4, + on=("id",), + ) + + joined_pd = pd.DataFrame(joined.take_all()) + + # Should get empty result + assert len(joined_pd) == 0 + + +@pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) +def test_anti_join_multi_key( + ray_start_regular_shared_2_cpus, + nullify_shuffle_aggregator_num_cpus, + join_type, +): + """Test anti-join with multiple join keys""" + DataContext.get_current().target_max_block_size = 1 * MiB + + # Create left dataset using ray.data.range for consistency + left_ds = ray.data.range(32).map( + lambda row: { + "id": row["id"], + "oddness": row["id"] % 2, # Even + "10x": row["id"] * 10, + } + ) + + # Create right dataset with partial matches (16 vs 32 for partial overlap) + right_ds = ray.data.range(16).map( + lambda row: { + "id": row["id"] % 2, + "oddness": row["id"] % 2 + 1, # odd + "100x": row["id"] * 100, + } + ) + + # Anti-join should return rows that don't have matching key1,key2 in the other dataset + joined: Dataset = left_ds.join( + right_ds, + join_type=join_type, + num_partitions=4, + on=("id", "oddness"), + ) + + joined_pd = pd.DataFrame(joined.take_all()) + + # Create expected data for pandas comparison + left_pd = left_ds.to_pandas() + right_pd = right_ds.to_pandas() + + # Calculate expected result using pandas + if join_type == "left_anti": + expected_cols = ["id", "oddness", "10x"] + + merged = left_pd.merge( + right_pd, on=["id", "oddness"], how="left", indicator=True + ) + expected_pd = merged[merged["_merge"] == "left_only"][expected_cols] + else: + expected_cols = ["id", "oddness", "100x"] + + merged = left_pd.merge( + right_pd, on=["id", "oddness"], how="right", indicator=True + ) + expected_pd = merged[merged["_merge"] == "right_only"][expected_cols] + + # Sort resulting frames and reset index (to be able to compare with expected one) + expected_pd_sorted = expected_pd.sort_values(by=expected_cols).reset_index( + drop=True + ) + joined_pd_sorted = joined_pd.sort_values(by=expected_cols).reset_index(drop=True) + + pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) + + if __name__ == "__main__": import sys From f383f08d2c0a68b972056b1e931203b722ad468b Mon Sep 17 00:00:00 2001 From: coqian Date: Wed, 6 Aug 2025 15:44:44 -0700 Subject: [PATCH 0530/1566] [Data] Update Export API metadata and refresh the dataset/operator state when there is a change (#54623) ## Why are these changes needed? Some frequently used metadata fields are missing in the export API schema: - For both dataset and operator: state, execution start and end time These fields are important for us to observe the lifecycle of the datasets and operators, and can be used to improve the accuracy of reported metrics, such as throughput, which relies on the duration. Summary of change: - Add state, execution start and end time at the export API schema - Add a new state enum `PENDING` for dataset and operator, to represent the state when they are not running yet. - Refresh the metadata when ever the state of dataset/operator gets updated. And the event will always contains the latest snapshot of all the metadata. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: cong.qian Signed-off-by: Douglas Strodtman --- .../data/_internal/execution/dataset_state.py | 22 ++++ .../_internal/execution/streaming_executor.py | 26 ++++- .../ray/data/_internal/metadata_exporter.py | 24 ++++- python/ray/data/_internal/stats.py | 99 ++++++++++++----- python/ray/data/tests/test_state_export.py | 100 ++++++++++++++++++ .../protobuf/export_dataset_metadata.proto | 36 ++++++- 6 files changed, 276 insertions(+), 31 deletions(-) create mode 100644 python/ray/data/_internal/execution/dataset_state.py diff --git a/python/ray/data/_internal/execution/dataset_state.py b/python/ray/data/_internal/execution/dataset_state.py new file mode 100644 index 000000000000..702963234baf --- /dev/null +++ b/python/ray/data/_internal/execution/dataset_state.py @@ -0,0 +1,22 @@ +import enum + + +class DatasetState(enum.IntEnum): + """Enum representing the possible states of a dataset during execution.""" + + UNKNOWN = 0 + RUNNING = 1 + FINISHED = 2 + FAILED = 3 + PENDING = 4 + + def __str__(self): + return self.name + + @classmethod + def from_string(cls, text): + """Get enum by name.""" + try: + return cls[text] # This uses the name to lookup the enum + except KeyError: + return cls.UNKNOWN diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index 6806c69bdd9d..cb338fc159e7 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -9,6 +9,7 @@ BackpressurePolicy, get_backpressure_policies, ) +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.execution_callback import get_execution_callbacks from ray.data._internal.execution.interfaces import ( ExecutionResources, @@ -37,7 +38,7 @@ ) from ray.data._internal.metadata_exporter import Topology as TopologyMetadata from ray.data._internal.progress_bar import ProgressBar -from ray.data._internal.stats import DatasetState, DatasetStats, StatsManager, Timer +from ray.data._internal.stats import DatasetStats, StatsManager, Timer from ray.data.context import OK_PREFIX, WARN_PREFIX, DataContext from ray.util.metrics import Gauge @@ -86,6 +87,7 @@ def __init__( self._backpressure_policies: List[BackpressurePolicy] = [] self._dataset_id = dataset_id + self._has_op_scheduled: Optional[Dict[PhysicalOperator, bool]] = None # Stores if an operator is completed, # used for marking when an op has just completed. self._has_op_completed: Optional[Dict[PhysicalOperator, bool]] = None @@ -187,6 +189,7 @@ def execute( execution_id=self._dataset_id, ) + self._has_op_scheduled = dict.fromkeys(self._topology, False) self._has_op_completed = dict.fromkeys(self._topology, False) self._output_node = dag, self._topology[dag] @@ -260,11 +263,17 @@ def shutdown(self, force: bool, exception: Optional[Exception] = None): # Set the appropriate description that summarizes # the result of dataset execution. if exception is None: + StatsManager.update_dataset_metadata_state( + self._dataset_id, DatasetState.FINISHED.name + ) prog_bar_msg = ( f"{OK_PREFIX} Dataset {self._dataset_id} execution finished in " f"{self._final_stats.time_total_s:.2f} seconds" ) else: + StatsManager.update_dataset_metadata_state( + self._dataset_id, DatasetState.FAILED.name + ) prog_bar_msg = ( f"{WARN_PREFIX} Dataset {self._dataset_id} execution failed" ) @@ -314,6 +323,9 @@ def run(self): Results are returned via the output node's outqueue. """ exc: Optional[Exception] = None + StatsManager.update_dataset_metadata_state( + self._dataset_id, DatasetState.RUNNING.name + ) try: # Run scheduling loop until complete. while True: @@ -453,6 +465,11 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: break topology[op].dispatch_next_task() + if not self._has_op_scheduled.get(op, False): + StatsManager.update_dataset_metadata_operator_state( + self._dataset_id, op.id, DatasetState.RUNNING.name + ) + self._has_op_scheduled[op] = True self._resource_manager.update_usages() @@ -475,6 +492,9 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: # Log metrics of newly completed operators. for op in topology: if op.completed() and not self._has_op_completed[op]: + StatsManager.update_dataset_metadata_operator_state( + self._dataset_id, op.id, DatasetState.FINISHED.name + ) log_str = ( f"Operator {op} completed. " f"Operator Metrics:\n{op._metrics.as_dict(skip_internal_metrics=True)}" @@ -548,7 +568,9 @@ def _get_state_dict(self, state): "progress": last_state.num_completed_tasks, "total": last_op.num_outputs_total(), "total_rows": last_op.num_output_rows_total(), - "end_time": time.time() if state != DatasetState.RUNNING.name else None, + "end_time": time.time() + if state in (DatasetState.FINISHED.name, DatasetState.FAILED.name) + else None, "operators": { f"{self._get_operator_id(op, i)}": { "name": op.name, diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index dfc2a60bcffc..aeed06999b8a 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -13,6 +13,7 @@ check_export_api_enabled, get_export_event_logger, ) +from ray.data._internal.execution.dataset_state import DatasetState from ray.data.context import DataContext if TYPE_CHECKING: @@ -60,11 +61,17 @@ class Operator: sub_stages: List of sub-stages contained within this operator. args: User-specified arguments associated with the operator, which may include configuration settings, options, or other relevant data for the operator. + execution_start_time: The timestamp when the operator execution begins. + execution_end_time: The timestamp when the operator execution ends. + state: The state of the operator. """ name: str id: str uuid: str + execution_start_time: Optional[float] + execution_end_time: Optional[float] + state: str input_dependencies: List[str] = field(default_factory=list) sub_stages: List[SubStage] = field(default_factory=list) args: Dict[str, Any] = field(default_factory=dict) @@ -108,6 +115,9 @@ def create_topology_metadata( op_to_id[dep] for dep in op.input_dependencies if dep in op_to_id ], args=sanitize_for_struct(op._get_logical_args()), + execution_start_time=None, + execution_end_time=None, + state=DatasetState.PENDING.name, ) # Add sub-stages if they exist @@ -131,8 +141,11 @@ class DatasetMetadata: job_id: The ID of the job running this dataset. topology: The structure of the dataset's operator DAG. dataset_id: The unique ID of the dataset. - start_time: The timestamp when the dataset execution started. + start_time: The timestamp when the dataset is registered. data_context: The DataContext attached to the dataset. + execution_start_time: The timestamp when the dataset execution starts. + execution_end_time: The timestamp when the dataset execution ends. + state: The state of the dataset. """ job_id: str @@ -140,6 +153,9 @@ class DatasetMetadata: dataset_id: str start_time: float data_context: DataContext + execution_start_time: Optional[float] + execution_end_time: Optional[float] + state: str def _add_ellipsis(s, truncate_length): @@ -202,6 +218,9 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: id=op.id, uuid=op.uuid, args=args, + execution_start_time=op.execution_start_time, + execution_end_time=op.execution_end_time, + state=ProtoOperator.OperatorState.Value(op.state), ) # Add input dependencies @@ -227,6 +246,9 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: job_id=dataset_metadata.job_id, start_time=dataset_metadata.start_time, data_context=data_context, + execution_start_time=dataset_metadata.execution_start_time, + execution_end_time=dataset_metadata.execution_end_time, + state=ProtoDatasetMetadata.DatasetState.Value(dataset_metadata.state), ) proto_dataset_metadata.topology.CopyFrom(proto_topology) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 1b129f81c5c0..51c74696ca8e 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -1,5 +1,4 @@ import collections -import enum import logging import threading import time @@ -14,6 +13,7 @@ import ray from ray.actor import ActorHandle from ray.data._internal.block_list import BlockList +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.interfaces.op_runtime_metrics import ( NODE_UNKNOWN, MetricsGroup, @@ -21,7 +21,11 @@ NodeMetrics, OpRuntimeMetrics, ) -from ray.data._internal.metadata_exporter import Topology, get_dataset_metadata_exporter +from ray.data._internal.metadata_exporter import ( + DatasetMetadata, + Topology, + get_dataset_metadata_exporter, +) from ray.data._internal.util import capfirst from ray.data.block import BlockStats from ray.data.context import DataContext @@ -170,6 +174,7 @@ def __init__(self, max_stats=1000): # Initialize the metadata exporter self._metadata_exporter = get_dataset_metadata_exporter() + self.dataset_metadatas: Dict[str, DatasetMetadata] = {} # Ray Data dashboard metrics # Everything is a gauge because we need to reset all of @@ -477,7 +482,7 @@ def register_dataset( start_time = time.time() self.datasets[dataset_tag] = { "job_id": job_id, - "state": DatasetState.RUNNING.name, + "state": DatasetState.PENDING.name, "progress": 0, "total": 0, "total_rows": 0, @@ -485,7 +490,7 @@ def register_dataset( "end_time": None, "operators": { operator: { - "state": DatasetState.RUNNING.name, + "state": DatasetState.PENDING.name, "progress": 0, "total": 0, "queued_blocks": 0, @@ -494,16 +499,19 @@ def register_dataset( }, } if self._metadata_exporter is not None: - from ray.data._internal.metadata_exporter import DatasetMetadata - - dataset_metadata = DatasetMetadata( + self.dataset_metadatas[dataset_tag] = DatasetMetadata( job_id=job_id, topology=topology, dataset_id=dataset_tag, start_time=start_time, data_context=data_context, + execution_start_time=None, + execution_end_time=None, + state=DatasetState.PENDING.name, + ) + self._metadata_exporter.export_dataset_metadata( + self.dataset_metadatas[dataset_tag] ) - self._metadata_exporter.export_dataset_metadata(dataset_metadata) def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): self.datasets[dataset_tag].update(state) @@ -554,6 +562,53 @@ def get_datasets(self, job_id: Optional[str] = None): return self.datasets return {k: v for k, v in self.datasets.items() if v["job_id"] == job_id} + def update_dataset_metadata_state(self, dataset_id: str, new_state: str): + if dataset_id not in self.dataset_metadatas: + return + update_time = time.time() + dataset_metadata = self.dataset_metadatas[dataset_id] + if dataset_metadata.state == new_state: + return + dataset_metadata.state = new_state + if new_state == DatasetState.RUNNING.name: + dataset_metadata.execution_start_time = update_time + elif new_state in (DatasetState.FINISHED.name, DatasetState.FAILED.name): + dataset_metadata.execution_end_time = update_time + # Update metadata of running operators + for operator in dataset_metadata.topology.operators: + if operator.state == DatasetState.RUNNING.name: + operator.state = new_state + operator.execution_end_time = update_time + + self._metadata_exporter.export_dataset_metadata(dataset_metadata) + + def update_dataset_metadata_operator_state( + self, dataset_id: str, operator_uuid: str, new_state: str + ): + if dataset_id not in self.dataset_metadatas: + return + update_time = time.time() + dataset_metadata = self.dataset_metadatas[dataset_id] + operator_metadata = None + for operator in dataset_metadata.topology.operators: + if operator.uuid == operator_uuid: + operator_metadata = operator + break + + if operator_metadata is None or operator_metadata.state == new_state: + return + operator_metadata.state = new_state + if new_state == DatasetState.RUNNING.name: + operator_metadata.execution_start_time = update_time + elif new_state in (DatasetState.FINISHED.name, DatasetState.FAILED.name): + operator_metadata.execution_end_time = update_time + # Handle outlier case for InputDataBuffer, which is marked as finished immediately and does not have a RUNNING state. + # Set the execution time the same as its end time + if not operator_metadata.execution_start_time: + operator_metadata.execution_start_time = update_time + + self._metadata_exporter.export_dataset_metadata(dataset_metadata) + def _create_tags( self, dataset_tag: str, @@ -822,28 +877,18 @@ def get_dataset_id_from_stats_actor(self) -> str: # fall back to uuid4 return uuid4().hex + def update_dataset_metadata_state(self, dataset_id: str, new_state: str): + self._stats_actor().update_dataset_metadata_state.remote(dataset_id, new_state) -StatsManager = _StatsManager() - - -class DatasetState(enum.IntEnum): - """Enum representing the possible states of a dataset during execution.""" - - UNKNOWN = 0 - RUNNING = 1 - FINISHED = 2 - FAILED = 3 + def update_dataset_metadata_operator_state( + self, dataset_id: str, operator_uuid: str, new_state: str + ): + self._stats_actor().update_dataset_metadata_operator_state.remote( + dataset_id, operator_uuid, new_state + ) - def __str__(self): - return self.name - @classmethod - def from_string(cls, text): - """Get enum by name.""" - try: - return cls[text] # This uses the name to lookup the enum - except KeyError: - return cls.UNKNOWN +StatsManager = _StatsManager() class DatasetStats: diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index 58beeff858a9..8b2950588738 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -6,6 +6,7 @@ import ray from ray.data import DataContext +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.metadata_exporter import ( UNKNOWN, Operator, @@ -73,6 +74,9 @@ def dummy_dataset_topology(): uuid="uuid_0", input_dependencies=[], sub_stages=[], + execution_start_time=1.0, + execution_end_time=1.0, + state="FINISHED", ), Operator( name="ReadRange->Map()->Filter()", @@ -80,6 +84,9 @@ def dummy_dataset_topology(): uuid="uuid_1", input_dependencies=["Input_0"], sub_stages=[], + execution_start_time=0.0, + execution_end_time=0.0, + state="RUNNING", ), ], ) @@ -195,6 +202,9 @@ def test_export_multiple_datasets( uuid="second_uuid_0", input_dependencies=[], sub_stages=[], + execution_start_time=1.0, + execution_end_time=1.0, + state="FINISHED", ), Operator( name="ReadRange->Map()", @@ -202,6 +212,9 @@ def test_export_multiple_datasets( uuid="second_uuid_1", input_dependencies=["Input_0"], sub_stages=[], + execution_start_time=2.0, + execution_end_time=0.0, + state="RUNNING", ), ], ) @@ -334,6 +347,93 @@ def test_sanitize_for_struct(input_obj, expected_output, truncate_length): assert result == expected_output +def test_update_dataset_metadata_state( + ray_start_cluster_with_export_api_write, dummy_dataset_topology +): + """Test dataset state update at the export API""" + stats_actor = _get_or_create_stats_actor() + # Register dataset + ray.get( + stats_actor.register_dataset.remote( + job_id=STUB_JOB_ID, + dataset_tag=STUB_DATASET_ID, + operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], + topology=dummy_dataset_topology, + data_context=DataContext.get_current(), + ) + ) + # Check that export files were created as expected + data = _get_exported_data() + assert len(data) == 1 + assert data[0]["event_data"]["state"] == DatasetState.PENDING.name + + # Test update state to RUNNING + ray.get( + stats_actor.update_dataset_metadata_state.remote( + dataset_id=STUB_DATASET_ID, new_state=DatasetState.RUNNING.name + ) + ) + data = _get_exported_data() + assert len(data) == 2 + assert data[1]["event_data"]["state"] == DatasetState.RUNNING.name + assert data[1]["event_data"]["execution_start_time"] > 0 + + # Test update to FINISHED + ray.get( + stats_actor.update_dataset_metadata_state.remote( + dataset_id=STUB_DATASET_ID, new_state=DatasetState.FINISHED.name + ) + ) + data = _get_exported_data() + assert len(data) == 3 + assert data[2]["event_data"]["state"] == DatasetState.FINISHED.name + assert data[2]["event_data"]["execution_end_time"] > 0 + assert ( + data[2]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.FINISHED.name + ) + assert data[2]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 + + +def test_update_dataset_metadata_operator_state( + ray_start_cluster_with_export_api_write, dummy_dataset_topology +): + stats_actor = _get_or_create_stats_actor() + # Register dataset + ray.get( + stats_actor.register_dataset.remote( + dataset_tag=STUB_DATASET_ID, + operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], + topology=dummy_dataset_topology, + job_id=STUB_JOB_ID, + data_context=DataContext.get_current(), + ) + ) + data = _get_exported_data() + assert len(data) == 1 + assert ( + data[0]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.RUNNING.name + ) + + # Test update to FINISHED + operator_uuid = "uuid_1" + ray.get( + stats_actor.update_dataset_metadata_operator_state.remote( + dataset_id=STUB_DATASET_ID, + operator_uuid=operator_uuid, + new_state=DatasetState.FINISHED.name, + ) + ) + data = _get_exported_data() + assert len(data) == 2 + assert ( + data[1]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.FINISHED.name + ) + assert data[1]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 + + if __name__ == "__main__": import sys diff --git a/src/ray/protobuf/export_dataset_metadata.proto b/src/ray/protobuf/export_dataset_metadata.proto index ce78d1458b8d..a508b5c3d186 100644 --- a/src/ray/protobuf/export_dataset_metadata.proto +++ b/src/ray/protobuf/export_dataset_metadata.proto @@ -30,6 +30,14 @@ message SubStage { // Represents a data processing operator in the DAG message Operator { + enum OperatorState { + UNKNOWN = 0; + RUNNING = 1; + FINISHED = 2; + FAILED = 3; + PENDING = 4; + } + // Name of the operator string name = 1; @@ -53,6 +61,15 @@ message Operator { // can be found in `_get_logical_args`, and is used to help understand how a // user's arguments lead to a dataset's state execution google.protobuf.Struct args = 6; + + // The timestamp when execution starts (in seconds since epoch) + double execution_start_time = 7; + + // The timestamp when execution ends (in seconds since epoch) + double execution_end_time = 8; + + // The state of the operator + OperatorState state = 9; } // Represents the complete structure of the operator DAG @@ -63,6 +80,14 @@ message Topology { // Top-level message containing full metadata about a Ray Data execution message ExportDatasetMetadata { + enum DatasetState { + UNKNOWN = 0; + RUNNING = 1; + FINISHED = 2; + FAILED = 3; + PENDING = 4; + } + // The operator DAG structure Topology topology = 1; @@ -72,9 +97,18 @@ message ExportDatasetMetadata { // The Ray Job ID string job_id = 3; - // The timestamp when execution started (in seconds since epoch) + // The timestamp when dataset is registered (in seconds since epoch) double start_time = 4; // The data context attached to the dataset. google.protobuf.Struct data_context = 5; + + // The timestamp when execution starts (in seconds since epoch) + double execution_start_time = 6; + + // The timestamp when execution ends (in seconds since epoch) + double execution_end_time = 7; + + // The state of the dataset + DatasetState state = 8; } From f068e0a5c8fdb992c861a8e19322c2f8438185fa Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 6 Aug 2025 16:14:21 -0700 Subject: [PATCH 0531/1566] [core] disabling cgroupv2 related build files for windows (#55277) These aren't hooked up to production yet. They are not expected to build on windows. See [#54703](https://github.com/ray-project/ray/issues/54703) for more details about the project. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- src/ray/common/cgroup/test/BUILD.bazel | 3 +++ src/ray/common/cgroup2/BUILD.bazel | 6 ++++++ src/ray/common/cgroup2/test/BUILD.bazel | 4 ++++ 3 files changed, 13 insertions(+) diff --git a/src/ray/common/cgroup/test/BUILD.bazel b/src/ray/common/cgroup/test/BUILD.bazel index e357be01471d..e0777ca2bec1 100644 --- a/src/ray/common/cgroup/test/BUILD.bazel +++ b/src/ray/common/cgroup/test/BUILD.bazel @@ -23,6 +23,7 @@ ray_cc_test( srcs = ["cgroup_v2_utils_unprivileged_test.cc"], tags = [ "exclusive", + "no_windows", "team:core", ], deps = [ @@ -36,6 +37,7 @@ ray_cc_test( name = "fake_cgroup_setup_test", srcs = ["fake_cgroup_setup_test.cc"], tags = [ + "no_windows", "team:core", ], deps = [ @@ -50,6 +52,7 @@ ray_cc_test( srcs = ["cgroup_v2_setup_test.cc"], tags = [ "cgroup", + "no_windows", "team:core", ], deps = [ diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index 082f252f9e4c..b74e0505428c 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -5,6 +5,9 @@ ray_cc_library( hdrs = [ "cgroup_driver_interface.h", ], + tags = [ + "no_windows", + ], deps = [ "//src/ray/common:status", "//src/ray/common:status_or", @@ -17,6 +20,9 @@ ray_cc_library( hdrs = [ "sysfs_cgroup_driver.h", ], + tags = [ + "no_windows", + ], deps = [ ":cgroup_driver_interface", "//src/ray/common:status", diff --git a/src/ray/common/cgroup2/test/BUILD.bazel b/src/ray/common/cgroup2/test/BUILD.bazel index 7157feb4a7dd..e829d9c9e080 100644 --- a/src/ray/common/cgroup2/test/BUILD.bazel +++ b/src/ray/common/cgroup2/test/BUILD.bazel @@ -4,6 +4,9 @@ ray_cc_library( name = "cgroup_test_utils", srcs = ["cgroup_test_utils.cc"], hdrs = ["cgroup_test_utils.h"], + tags = [ + "no_windows", + ], deps = [ "//src/ray/common:status", "//src/ray/common:status_or", @@ -15,6 +18,7 @@ ray_cc_test( name = "sysfs_cgroup_driver_test", srcs = ["sysfs_cgroup_driver_test.cc"], tags = [ + "no_windows", "team:core", ], deps = [ From 2e8cf6f26e6ec6565049dd570334a4991f80b0f8 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Wed, 6 Aug 2025 16:26:17 -0700 Subject: [PATCH 0532/1566] [serve] Call request routed hook only when request is accepted (#55263) ## Why are these changes needed? If the request is rejected, we shouldn't call the `on_request_routed` hook since the request doesn't process on the replica if it's rejected. E.g. in the case of `prefix_aware_router`, we wouldn't want to update the prefix tree if the request was rejected by the replica. https://github.com/ray-project/ray/blob/26770affbdf600cdc518957c50ed58d882a67f5b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py#L327-L351 Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/router.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 8326b5652ab5..37baa366eddb 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -664,8 +664,8 @@ async def route_and_send_request( try: result, queue_info = await r.send_request(pr, with_rejection=True) self.request_router.on_new_queue_len_info(r.replica_id, queue_info) - self.request_router.on_request_routed(pr, r.replica_id, result) if queue_info.accepted: + self.request_router.on_request_routed(pr, r.replica_id, result) return result, r.replica_id except asyncio.CancelledError: # NOTE(edoakes): this is not strictly necessary because there are From f9ea7926043df46492074fc76c188f98cfc90d70 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Wed, 6 Aug 2025 16:29:50 -0700 Subject: [PATCH 0533/1566] [Serve] Update get_application_urls to not return root url of client when app does not exist (#55026) This update is required as returning client's root url when the app is not deployed can mask erroneous tests that should be failing and have it pass. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/common.py | 4 +-- python/ray/serve/_private/test_utils.py | 16 +++++++++--- python/ray/serve/tests/test_api.py | 3 +-- python/ray/serve/tests/test_batching.py | 14 +++++++--- python/ray/serve/tests/test_cli.py | 10 ++++--- python/ray/serve/tests/test_cli_2.py | 12 ++++----- python/ray/serve/tests/test_deploy.py | 16 ++++++++---- python/ray/serve/tests/test_deploy_app.py | 32 ++++++++++------------- python/ray/serve/tests/test_metrics.py | 19 +++++++------- 9 files changed, 73 insertions(+), 53 deletions(-) diff --git a/python/ray/serve/_private/common.py b/python/ray/serve/_private/common.py index 19f6e27a777f..5746e26a56ae 100644 --- a/python/ray/serve/_private/common.py +++ b/python/ray/serve/_private/common.py @@ -146,8 +146,8 @@ class DeploymentStatusInternalTrigger(str, Enum): AUTOSCALE_UP = "AUTOSCALE_UP" AUTOSCALE_DOWN = "AUTOSCALE_DOWN" # MANUALLY_INCREASE_NUM_REPLICAS and MANUALLY_DECREASE_NUM_REPLICAS are used - # instead of CONFIG_UPDATE when "only the replica scale" is triggered - # by the config update. + # instead of CONFIG_UPDATE when the config update only scales + # the number of replicas. MANUALLY_INCREASE_NUM_REPLICAS = "MANUALLY_INCREASE_NUM_REPLICAS" MANUALLY_DECREASE_NUM_REPLICAS = "MANUALLY_DECREASE_NUM_REPLICAS" REPLICA_STARTUP_FAILED = "REPLICA_STARTUP_FAILED" diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index 3835f47f7064..21cfa7ea0061 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -736,8 +736,9 @@ def get_application_urls( """ client = _get_global_client(_health_check_controller=True) serve_details = client.get_serve_details() - if app_name not in serve_details["applications"]: - return [client.root_url] + assert ( + app_name in serve_details["applications"] + ), f"App {app_name} not found in serve details. Use this method only when the app is known to be running." route_prefix = serve_details["applications"][app_name]["route_prefix"] if exclude_route_prefix: route_prefix = "" @@ -798,6 +799,15 @@ def get_application_url( """ return random.choice( get_application_urls( - protocol, app_name, use_localhost, is_websocket, exclude_route_prefix + protocol, + app_name, + use_localhost, + is_websocket, + exclude_route_prefix, ) ) + + +def check_running(app_name: str = SERVE_DEFAULT_APP_NAME): + assert serve.status().applications[app_name].status == ApplicationStatus.RUNNING + return True diff --git a/python/ray/serve/tests/test_api.py b/python/ray/serve/tests/test_api.py index c74ee0467190..75b76b9fb7a2 100644 --- a/python/ray/serve/tests/test_api.py +++ b/python/ray/serve/tests/test_api.py @@ -912,8 +912,7 @@ def check_for_failed_app(): # return a 503 error to reflect the failed deployment state. # The timeout is there to prevent the test from hanging and blocking # the test suite if it does fail. - url = get_application_url("HTTP") - r = httpx.post(url, timeout=10) + r = httpx.post("http://localhost:8000/", timeout=10) assert r.status_code == 503 and "unavailable" in r.text @serve.deployment diff --git a/python/ray/serve/tests/test_batching.py b/python/ray/serve/tests/test_batching.py index 6cf1083d9ff4..80f9f35eb10c 100644 --- a/python/ray/serve/tests/test_batching.py +++ b/python/ray/serve/tests/test_batching.py @@ -262,7 +262,9 @@ async def _get_handling_task_stack(self) -> Optional[str]: math.ceil(n_requests / max_batch_size), max_concurrent_batches ) - await send_k_requests(signal_actor, n_requests, min_num_batches) + await send_k_requests( + signal_actor, n_requests, min_num_batches, app_name="app_name" + ) prev_iter_times = await handle._get_curr_iteration_start_times.remote() await signal_actor.send.remote() # unblock the batch handler now that we have the iter times @@ -270,7 +272,9 @@ async def _get_handling_task_stack(self) -> Optional[str]: assert len(await handle._get_handling_task_stack.remote()) is not None assert await handle._is_batching_task_alive.remote() - await send_k_requests(signal_actor, n_requests, min_num_batches) + await send_k_requests( + signal_actor, n_requests, min_num_batches, app_name="app_name" + ) new_iter_times = await handle._get_curr_iteration_start_times.remote() await signal_actor.send.remote() # unblock the batch handler now that we have the iter times @@ -282,13 +286,15 @@ async def _get_handling_task_stack(self) -> Optional[str]: async def send_k_requests( - signal_actor: SignalActor, k: int, min_num_batches: float + signal_actor: SignalActor, k: int, min_num_batches: float, app_name: str ) -> None: """Send k requests and wait until at least min_num_batches are waiting.""" await signal_actor.send.remote(True) # type: ignore[attr-defined] async with httpx.AsyncClient() as client: for _ in range(k): - asyncio.create_task(client.get(f"{get_application_url()}/")) + asyncio.create_task( + client.get(f"{get_application_url(app_name=app_name)}/") + ) await wait_for_n_waiters( signal_actor, lambda num_waiters: num_waiters >= min_num_batches ) diff --git a/python/ray/serve/tests/test_cli.py b/python/ray/serve/tests/test_cli.py index d08ad759754e..2ae56c31ae9e 100644 --- a/python/ray/serve/tests/test_cli.py +++ b/python/ray/serve/tests/test_cli.py @@ -286,23 +286,25 @@ def test_deploy_multi_app_builder_with_args(serve_instance): subprocess.check_output(["serve", "deploy", apps_with_args]) wait_for_condition( - lambda: httpx.post(f"{get_application_url()}/untyped_default").text + lambda: httpx.post(get_application_url(app_name="untyped_default")).text == "DEFAULT", timeout=10, ) wait_for_condition( - lambda: httpx.post(f"{get_application_url()}/untyped_hello").text == "hello", + lambda: httpx.post(get_application_url(app_name="untyped_hello")).text + == "hello", timeout=10, ) wait_for_condition( - lambda: httpx.post(f"{get_application_url()}/typed_default").text == "DEFAULT", + lambda: httpx.post(get_application_url(app_name="typed_default")).text + == "DEFAULT", timeout=10, ) wait_for_condition( - lambda: httpx.post(f"{get_application_url()}/typed_hello").text == "hello", + lambda: httpx.post(get_application_url(app_name="typed_hello")).text == "hello", timeout=10, ) diff --git a/python/ray/serve/tests/test_cli_2.py b/python/ray/serve/tests/test_cli_2.py index ea22034fa213..881df9934a90 100644 --- a/python/ray/serve/tests/test_cli_2.py +++ b/python/ray/serve/tests/test_cli_2.py @@ -31,7 +31,7 @@ CONNECTION_ERROR_MSG = "connection error" -def ping_endpoint(app_name: str, params: str = ""): +def ping_endpoint(app_name: str = SERVE_DEFAULT_APP_NAME, params: str = ""): try: url = get_application_url("HTTP", app_name=app_name) return httpx.get(f"{url}/{params}").text @@ -233,7 +233,7 @@ def test_build_multi_app(ray_start_stop): def check_no_apps(): for url in app_urls: with pytest.raises(httpx.HTTPError): - _ = httpx.get(f"{url}").text + _ = httpx.get(url).text return True wait_for_condition(check_no_apps, timeout=15) @@ -429,7 +429,7 @@ def test_run_without_address(self, import_file_name, ray_start_stop): cause error. """ p = subprocess.Popen(["serve", "run", import_file_name]) - wait_for_condition(lambda: ping_endpoint("") == "foobar", timeout=10) + wait_for_condition(lambda: ping_endpoint() == "foobar", timeout=10) p.send_signal(signal.SIGINT) p.wait() @@ -444,7 +444,7 @@ def test_run_with_address_same_address(self, import_file_name, ray_start_stop): p = subprocess.Popen( ["serve", "run", "--address=127.0.0.1:6379", import_file_name] ) - wait_for_condition(lambda: ping_endpoint("") == "foobar", timeout=10) + wait_for_condition(lambda: ping_endpoint() == "foobar", timeout=10) p.send_signal(signal.SIGINT) p.wait() @@ -463,7 +463,7 @@ def test_run_with_address_different_address( stdout=subprocess.PIPE, stderr=subprocess.STDOUT, ) - wait_for_condition(lambda: ping_endpoint("") == "foobar", timeout=10) + wait_for_condition(lambda: ping_endpoint() == "foobar", timeout=10) p.send_signal(signal.SIGINT) p.wait() process_output, _ = p.communicate() @@ -491,7 +491,7 @@ def test_run_with_auto_address( stdout=subprocess.PIPE, stderr=subprocess.STDOUT, ) - wait_for_condition(lambda: ping_endpoint("") == "foobar", timeout=10) + wait_for_condition(lambda: ping_endpoint() == "foobar", timeout=10) p.send_signal(signal.SIGINT) p.wait() process_output, _ = p.communicate() diff --git a/python/ray/serve/tests/test_deploy.py b/python/ray/serve/tests/test_deploy.py index 9f50c1ccee7e..5e7df0280cdd 100644 --- a/python/ray/serve/tests/test_deploy.py +++ b/python/ray/serve/tests/test_deploy.py @@ -11,7 +11,7 @@ from ray import serve from ray._common.pydantic_compat import ValidationError from ray._common.test_utils import SignalActor, wait_for_condition -from ray.serve._private.test_utils import get_application_url +from ray.serve._private.test_utils import check_running, get_application_url from ray.serve._private.utils import get_random_string from ray.serve.exceptions import RayServeException @@ -185,7 +185,7 @@ async def __call__(self): return await self.handler() serve.run(V1.bind(), name="app") - + wait_for_condition(check_running, app_name="app", timeout=15) # Send unblocked signal first to get pid of running replica signal.send.remote() val1, pid1 = ray.get(call.remote()) @@ -201,6 +201,9 @@ async def __call__(self): start = time.time() while time.time() - start < 30: + # The app is not supposed to be in RUNNING state here as V1 replica stopping + # V2 replica running makes the app to be in DEPLOYING state so we don't check + # if the app is in RUNNING state. ready, _ = ray.wait([call.remote()], timeout=2) # If the request doesn't block, it must be V2 which doesn't wait # for signal. Otherwise, it must have been sent to V1 which @@ -296,8 +299,7 @@ def call(): ret = handle.handler.remote().result() else: url = get_application_url("HTTP", app_name="app") - ret = httpx.get(f"{url}/{name}").text - + ret = httpx.get(url).text return ret.split("|")[0], ret.split("|")[1] signal_name = f"signal-{get_random_string()}" @@ -329,7 +331,7 @@ def make_nonblocking_calls(expected, expect_blocking=False): start = time.time() while time.time() - start < 30: refs = [call.remote() for _ in range(10)] - ready, not_ready = ray.wait(refs, timeout=5) + ready, not_ready = ray.wait(refs, timeout=10) for ref in ready: val, pid = ray.get(ref) responses[val].add(pid) @@ -346,6 +348,7 @@ def make_nonblocking_calls(expected, expect_blocking=False): return responses, blocking serve.run(V1.options(user_config={"test": "1"}).bind(), name="app") + wait_for_condition(check_running, app_name="app", timeout=15) responses1, _ = make_nonblocking_calls({"1": 2}) pids1 = responses1["1"] @@ -354,6 +357,9 @@ def make_nonblocking_calls(expected, expect_blocking=False): serve._run( V1.options(user_config={"test": "2"}).bind(), name="app", _blocking=False ) + # The app is not supposed to be in RUNNING state here as one of the replicas among the two + # is updating with user_config. This makes the app to be in DEPLOYING state so we don't check + # if the app is in RUNNING state. responses2, blocking2 = make_nonblocking_calls({"1": 1}, expect_blocking=True) assert list(responses2["1"])[0] in pids1 diff --git a/python/ray/serve/tests/test_deploy_app.py b/python/ray/serve/tests/test_deploy_app.py index 534de2e067bf..e94f8316d431 100644 --- a/python/ray/serve/tests/test_deploy_app.py +++ b/python/ray/serve/tests/test_deploy_app.py @@ -14,6 +14,7 @@ from ray.serve._private.test_utils import ( check_num_replicas_gte, check_num_replicas_lte, + check_running, get_application_url, ) from ray.serve.schema import ( @@ -29,11 +30,6 @@ from ray.util.state import list_actors -def check_running(app_name: str = SERVE_DEFAULT_APP_NAME): - assert serve.status().applications[app_name].status == ApplicationStatus.RUNNING - return True - - def check_endpoint(json: Union[List, Dict], expected: str, app_name: str = "default"): url = get_application_url("HTTP", app_name=app_name) resp = httpx.post(url, json=json) @@ -166,11 +162,11 @@ def test_deploy_multi_app_update_config(serve_instance): client.deploy_apps(ServeDeploySchema.parse_obj(config)) url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "1 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "1 pizzas please!" ) url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "12 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "12 pizzas please!" ) @@ -226,11 +222,11 @@ def test_deploy_multi_app_update_num_replicas(serve_instance): client.deploy_apps(ServeDeploySchema.parse_obj(config)) url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "2 pizzas please!", + lambda: httpx.post(url, json=["ADD", 2]).text == "2 pizzas please!", ) url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "102 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "102 pizzas please!" ) wait_for_condition( @@ -295,7 +291,7 @@ def test_deploy_multi_app_update_timestamp(serve_instance): } url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "4 pizzas please!" ) @@ -326,10 +322,10 @@ def test_deploy_multi_app_overwrite_apps(serve_instance): wait_for_condition(check_running, app_name="app1", timeout=15) wait_for_condition(check_running, app_name="app2", timeout=15) url = get_application_url("HTTP", app_name="app1") - wait_for_condition(lambda: httpx.get(f"{url}").text == "wonderful world") + wait_for_condition(lambda: httpx.get(url).text == "wonderful world") url = get_application_url("HTTP", app_name="app2") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "4 pizzas please!" ) # Switch the two application import paths @@ -341,10 +337,10 @@ def test_deploy_multi_app_overwrite_apps(serve_instance): url = get_application_url("HTTP", app_name="app1") wait_for_condition( - lambda: httpx.post(f"{url}", json=["ADD", 2]).text == "4 pizzas please!" + lambda: httpx.post(url, json=["ADD", 2]).text == "4 pizzas please!" ) url = get_application_url("HTTP", app_name="app2") - wait_for_condition(lambda: httpx.get(f"{url}").text == "wonderful world") + wait_for_condition(lambda: httpx.get(url).text == "wonderful world") def test_deploy_multi_app_overwrite_apps2(serve_instance): @@ -488,7 +484,7 @@ def check_app(deployments): url = get_application_url("HTTP", app_name="app1") wait_for_condition(check_app, deployments=world_deployments) - wait_for_condition(lambda: httpx.post(f"{url}").text == "wonderful world") + wait_for_condition(lambda: httpx.post(url).text == "wonderful world") @pytest.mark.parametrize( @@ -518,7 +514,7 @@ def test_deploy_config_update_heavyweight(serve_instance, field_to_update: str): client.deploy_apps(ServeDeploySchema.parse_obj(config_template)) wait_for_condition(check_running, timeout=15) url = get_application_url("HTTP", app_name=SERVE_DEFAULT_APP_NAME) - pid1, _ = httpx.get(f"{url}").json() + pid1, _ = httpx.get(url).json() if field_to_update == "import_path": config_template["applications"][0][ @@ -539,7 +535,7 @@ def test_deploy_config_update_heavyweight(serve_instance, field_to_update: str): pids = [] for _ in range(4): - pids.append(httpx.get(f"{url}").json()[0]) + pids.append(httpx.get(url).json()[0]) assert pid1 not in pids @@ -798,7 +794,7 @@ def test_deploy_separate_runtime_envs(serve_instance): timeout=90, ) url = get_application_url("HTTP", app_name="app2") - wait_for_condition(lambda: httpx.post(f"{url}").text == "Hello world!") + wait_for_condition(lambda: httpx.post(url).text == "Hello world!") def test_deploy_multi_app_deleting(serve_instance): diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index 6151d5f84419..75ece14c3252 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -179,14 +179,14 @@ async def f(request): app_name = "app1" handle = serve.run(target=f.bind(), name=app_name) - http_url = f'{get_application_url("HTTP", app_name)}/metrics' - + http_url = get_application_url(app_name=app_name) # send 10 concurrent requests ray.get([block_until_http_ready.remote(http_url) for _ in range(10)]) [handle.remote(http_url) for _ in range(10)] # Ping gPRC proxy - channel = grpc.insecure_channel("localhost:9000") + grpc_url = "localhost:9000" + channel = grpc.insecure_channel(grpc_url) wait_for_condition( ping_grpc_list_applications, channel=channel, app_names=[app_name] ) @@ -401,8 +401,9 @@ async def __call__(self, *args): app_name = "app" serve.run(A.bind(), name=app_name) - httpx.get(f"{get_application_url()}/A/", timeout=None) - httpx.get(f"{get_application_url()}/A/", timeout=None) + + httpx.get("http://localhost:8000", timeout=None) + httpx.get("http://localhost:8000", timeout=None) channel = grpc.insecure_channel("localhost:9000") with pytest.raises(grpc.RpcError): ping_grpc_call_method(channel=channel, app_name=app_name) @@ -461,12 +462,12 @@ def test_proxy_metrics_fields_not_found(metrics_start_shutdown): """Tests the proxy metrics' fields' behavior for not found.""" # Should generate 404 responses - broken_url = f"{get_application_url()}/fake_route" + broken_url = "http://127.0.0.1:8000/fake_route" _ = httpx.get(broken_url).text print("Sent requests to broken URL.") # Ping gRPC proxy for not existing application. - channel = grpc.insecure_channel("localhost:9000") + channel = grpc.insecure_channel("127.0.0.1:9000") fake_app_name = "fake-app" ping_grpc_call_method(channel=channel, app_name=fake_app_name, test_not_found=True) @@ -523,7 +524,7 @@ async def return_status_code_with_timeout(request: Request): name="status_code_timeout", ) - http_url = get_application_url("HTTP", "status_code_timeout") + http_url = get_application_url("HTTP", app_name="status_code_timeout") r = httpx.get(http_url) assert r.status_code == 408 @@ -568,7 +569,7 @@ async def __call__(self, request: Request): ) # Simulate an HTTP disconnect - http_url = get_application_url("HTTP", "disconnect") + http_url = get_application_url("HTTP", app_name="disconnect") ip_port = http_url.replace("http://", "").split("/")[0] # remove the route prefix ip, port = ip_port.split(":") conn = http.client.HTTPConnection(ip, int(port)) From 33609c545c3ebbc6e6d30fb5209d8f7e57811b20 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 6 Aug 2025 16:32:13 -0700 Subject: [PATCH 0534/1566] [ci] raydepsets: removing test lock file (#55265) removing test lock file that ended up in the root dir Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- requirements_compiled_subset_general.txt | 12 ------------ 1 file changed, 12 deletions(-) delete mode 100644 requirements_compiled_subset_general.txt diff --git a/requirements_compiled_subset_general.txt b/requirements_compiled_subset_general.txt deleted file mode 100644 index 9f95879e2506..000000000000 --- a/requirements_compiled_subset_general.txt +++ /dev/null @@ -1,12 +0,0 @@ -# This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --python-version=3.11 --no-strip-markers --emit-index-url --emit-find-links --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match /tmp/tmp9w_t3drc/requirements_test.txt -o /tmp/tmp9w_t3drc/requirements_compiled_general.txt ---index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu - -emoji==2.14.1 \ - --hash=sha256:35a8a486c1460addb1499e3bf7929d3889b2e2841a57401903699fef595e942b \ - --hash=sha256:f8c50043d79a2c1410ebfae833ae1868d5941a67a6cd4d18377e2eb0bd79346b - # via -r /tmp/tmp9w_t3drc/requirements_test.txt -pyperclip==1.9.0 \ - --hash=sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310 - # via -r /tmp/tmp9w_t3drc/requirements_test.txt From 2e8ce966edb968c861b5e6385108364920d7d6d9 Mon Sep 17 00:00:00 2001 From: Toshaksha <147024929+Toshaksha@users.noreply.github.com> Date: Thu, 7 Aug 2025 05:24:26 +0530 Subject: [PATCH 0535/1566] [data] Handle missing 'chunks' key when Databricks UC query returns zero rows (#54526) ## Why are these changes needed? Fixes a bug where querying a Databricks UC table that returns zero rows causes a KeyError due to the missing "chunks" key in the manifest. This change checks for the "chunks" key and returns an empty datasource instead of crashing, improving user experience for empty query results. ## Related issue number Closes #54369 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [x] This PR is not tested :( --------- Signed-off-by: Toshaksha <147024929+Toshaksha@users.noreply.github.com> Signed-off-by: Toshaksha Signed-off-by: Balaji Veeramani Signed-off-by: Praveen Gorthy Co-authored-by: Praveen Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../datasource/databricks_uc_datasource.py | 24 ++++++++- python/ray/data/tests/test_sql.py | 51 +++++++++++++++++++ 2 files changed, 73 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_internal/datasource/databricks_uc_datasource.py b/python/ray/data/_internal/datasource/databricks_uc_datasource.py index cbc9a75134a7..b42a488b7dd3 100644 --- a/python/ray/data/_internal/datasource/databricks_uc_datasource.py +++ b/python/ray/data/_internal/datasource/databricks_uc_datasource.py @@ -99,7 +99,7 @@ def __init__( ) manifest = response.json()["manifest"] - self.is_truncated = manifest["truncated"] + self.is_truncated = manifest.get("truncated", False) if self.is_truncated: logger.warning( @@ -107,7 +107,7 @@ def __init__( "100GiB and it is truncated." ) - chunks = manifest["chunks"] + chunks = manifest.get("chunks", []) # Make chunks metadata are ordered by index. chunks = sorted(chunks, key=lambda x: x["chunk_index"]) @@ -116,6 +116,22 @@ def __init__( self._estimate_inmemory_data_size = sum(chunk["byte_count"] for chunk in chunks) def get_read_task(task_index, parallelism): + # Handle empty chunk list by yielding an empty PyArrow table + if num_chunks == 0: + import pyarrow as pa + + metadata = BlockMetadata( + num_rows=0, + size_bytes=0, + input_files=None, + exec_stats=None, + ) + + def empty_read_fn(): + yield pa.Table.from_pydict({}) + + return ReadTask(read_fn=empty_read_fn, metadata=metadata) + # get chunk list to be read in this task and preserve original chunk order chunk_index_list = list( np.array_split(range(num_chunks), parallelism)[task_index] @@ -179,6 +195,10 @@ def estimate_inmemory_data_size(self) -> Optional[int]: return self._estimate_inmemory_data_size def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + # Handle empty dataset case + if self.num_chunks == 0: + return [self._get_read_task(0, 1)] + assert parallelism > 0, f"Invalid parallelism {parallelism}" if parallelism > self.num_chunks: diff --git a/python/ray/data/tests/test_sql.py b/python/ray/data/tests/test_sql.py index ffc9a657913f..68e20ce2cd57 100644 --- a/python/ray/data/tests/test_sql.py +++ b/python/ray/data/tests/test_sql.py @@ -377,6 +377,57 @@ def request_get_mock(url, params=None, **kwargs): pd.testing.assert_frame_equal(result, expected_result_df) +def test_databricks_uc_datasource_empty_result(): + with mock.patch("requests.get") as mock_get, mock.patch( + "requests.post" + ) as mock_post: + # Mock the POST request starting the query + def post_mock(url, *args, **kwargs): + class Resp: + def raise_for_status(self): + pass + + def json(self): + return {"statement_id": "test_stmt", "status": {"state": "PENDING"}} + + return Resp() + + # Mock the GET request returning no chunks key to simulate empty result + def get_mock(url, *args, **kwargs): + class Resp: + def raise_for_status(self): + pass + + def json(self): + return { + "status": {"state": "SUCCEEDED"}, + "manifest": {"truncated": False}, + } + + return Resp() + + mock_post.side_effect = post_mock + mock_get.side_effect = get_mock + + with mock.patch.dict( + os.environ, + {"DATABRICKS_HOST": "test_host", "DATABRICKS_TOKEN": "test_token"}, + ): + ray.shutdown() + ray.init() + + # Call with dummy query to hit mocked flow + ds = ray.data.read_databricks_tables( + warehouse_id="dummy_warehouse", + query="select * from dummy_table", + catalog="dummy_catalog", + schema="dummy_schema", + override_num_blocks=1, + ) + + assert ds.count() == 0 + + if __name__ == "__main__": import sys From a56a6cad9b807c4c8fefefad9bc726bf3a3e2239 Mon Sep 17 00:00:00 2001 From: Josh Karpel Date: Wed, 6 Aug 2025 19:58:35 -0500 Subject: [PATCH 0536/1566] [Serve] Mark per-deployment autoscaling metrics push interval config deprecated (#55102) ## Why are these changes needed? Deprecation announcements for this future PR https://github.com/ray-project/ray/pull/55016 ## Related issue number Related to https://github.com/ray-project/ray/issues/45777 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Josh Karpel Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 28 +++++++++++++----- python/ray/serve/_private/replica.py | 4 +-- python/ray/serve/_private/router.py | 8 ++--- python/ray/serve/config.py | 21 +++++++++++++- .../serve/tests/test_autoscaling_policy.py | 8 +++-- python/ray/serve/tests/unit/test_config.py | 29 ++++++++++++++++++- python/ray/serve/tests/unit/test_router.py | 2 +- src/ray/protobuf/serve.proto | 5 +++- 8 files changed, 86 insertions(+), 19 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index f4406b57db3b..f154c1d57ac7 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -189,11 +189,6 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # deployment has been created CLIENT_CHECK_CREATION_POLLING_INTERVAL_S: float = 0.1 -# Handle metric push interval. (This interval will affect the cold start time period) -HANDLE_METRIC_PUSH_INTERVAL_S = float( - os.environ.get("RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S", "10") -) - # Timeout for GCS internal KV service RAY_SERVE_KV_TIMEOUT_S = float(os.environ.get("RAY_SERVE_KV_TIMEOUT_S", "0")) or None @@ -292,10 +287,29 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: ) # How often autoscaling metrics are recorded on Serve replicas. -RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S = 0.5 +RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S = float( + os.environ.get("RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S", "0.5") +) + +# Replica autoscaling metrics push interval. +RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S = float( + os.environ.get("RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S", "10") +) # How often autoscaling metrics are recorded on Serve handles. -RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_PERIOD_S = 0.5 +RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S = float( + os.environ.get("RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S", "0.5") +) + +# Handle autoscaling metrics push interval. (This interval will affect the cold start time period) +RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S = float( + os.environ.get( + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S", + # Legacy env var for RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S + os.environ.get("RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S", "10"), + ) +) + # Serve multiplexed matching timeout. # This is the timeout for the matching process of multiplexed requests. To avoid diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 87e6fbd3ad1d..05eca1c2832c 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -52,7 +52,7 @@ HEALTH_CHECK_METHOD, RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, RAY_SERVE_METRICS_EXPORT_INTERVAL_MS, - RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S, + RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S, RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, RAY_SERVE_RUN_SYNC_IN_THREADPOOL, RAY_SERVE_RUN_SYNC_IN_THREADPOOL_WARNING, @@ -282,7 +282,7 @@ def set_autoscaling_config(self, autoscaling_config: Optional[AutoscalingConfig] self.RECORD_METRICS_TASK_NAME, self._add_autoscaling_metrics_point, min( - RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S, + RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S, self._autoscaling_config.metrics_interval_s, ), ) diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 37baa366eddb..ad4f67a117b7 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -35,9 +35,9 @@ ) from ray.serve._private.config import DeploymentConfig from ray.serve._private.constants import ( - HANDLE_METRIC_PUSH_INTERVAL_S, RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, - RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_PERIOD_S, + RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S, + RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S, RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING, SERVE_LOGGER_NAME, ) @@ -239,7 +239,7 @@ def update_deployment_config( self.RECORD_METRICS_TASK_NAME, self._add_autoscaling_metrics_point, min( - RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_PERIOD_S, + RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S, autoscaling_config.metrics_interval_s, ), ) @@ -253,7 +253,7 @@ def update_deployment_config( self.metrics_pusher.register_or_update_task( self.PUSH_METRICS_TO_CONTROLLER_TASK_NAME, self.push_autoscaling_metrics_to_controller, - HANDLE_METRIC_PUSH_INTERVAL_S, + RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S, ) else: diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index 1386a99b48f4..cabae39eddc0 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -159,6 +159,9 @@ def get_request_router_class(self) -> Callable: return cloudpickle.loads(self._serialized_request_router_cls) +DEFAULT_METRICS_INTERVAL_S = 10.0 + + @PublicAPI(stability="stable") class AutoscalingConfig(BaseModel): """Config for the Serve Autoscaler.""" @@ -174,7 +177,11 @@ class AutoscalingConfig(BaseModel): target_ongoing_requests: PositiveFloat = DEFAULT_TARGET_ONGOING_REQUESTS metrics_interval_s: PositiveFloat = Field( - default=10.0, description="How often to scrape for metrics." + default=DEFAULT_METRICS_INTERVAL_S, + description="[DEPRECATED] How often to scrape for metrics. " + "Will be replaced by the environment variables " + "`RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S` and " + "`RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S` in a future release.", ) look_back_period_s: PositiveFloat = Field( default=30.0, description="Time window to average over for metrics." @@ -242,6 +249,18 @@ def replicas_settings_valid(cls, max_replicas, values): return max_replicas + @validator("metrics_interval_s") + def metrics_interval_s_deprecation_warning(cls, v: PositiveFloat) -> PositiveFloat: + if v != DEFAULT_METRICS_INTERVAL_S: + warnings.warn( + "The `metrics_interval_s` field in AutoscalingConfig is deprecated and " + "will be replaced by the environment variables " + "`RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S` and " + "`RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S` in a future release.", + DeprecationWarning, + ) + return v + def __init__(self, **kwargs): super().__init__(**kwargs) self.serialize_policy() diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 47078b34b723..32b66f6c305b 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -439,7 +439,9 @@ def __call__(self): @pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.") @pytest.mark.parametrize("scaling_factor", [1, 0.2]) @pytest.mark.parametrize("use_upscale_downscale_config", [True, False]) -@mock.patch("ray.serve._private.router.HANDLE_METRIC_PUSH_INTERVAL_S", 1) +@mock.patch( + "ray.serve._private.router.RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S", 1 +) def test_e2e_scale_up_down_with_0_replica( serve_instance_with_signal, scaling_factor, @@ -634,7 +636,9 @@ def __call__(self): @pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.") -@mock.patch("ray.serve._private.router.HANDLE_METRIC_PUSH_INTERVAL_S", 1) +@mock.patch( + "ray.serve._private.router.RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S", 1 +) def test_e2e_intermediate_downscaling(serve_instance_with_signal): """ Scales up, then down, and up again. diff --git a/python/ray/serve/tests/unit/test_config.py b/python/ray/serve/tests/unit/test_config.py index 41ef5010eed5..ee462a42ba63 100644 --- a/python/ray/serve/tests/unit/test_config.py +++ b/python/ray/serve/tests/unit/test_config.py @@ -1,8 +1,9 @@ import sys +import warnings import pytest -from ray import cloudpickle +from ray import cloudpickle, serve from ray._common.pydantic_compat import ValidationError from ray._common.utils import import_attr from ray.serve._private.config import DeploymentConfig, ReplicaConfig, _proto_to_dict @@ -83,6 +84,32 @@ def test_autoscaling_config_validation(): AutoscalingConfig() +def test_autoscaling_config_metrics_interval_s_deprecation_warning() -> None: + """Test that the metrics_interval_s deprecation warning is raised.""" + # Warning is raised if we set metrics_interval_s to a non-default value + with pytest.warns(DeprecationWarning): + AutoscalingConfig(metrics_interval_s=5) + + # ... even if the AutoscalingConfig is instantiated implicitly via the @serve.deployment decorator + with pytest.warns(DeprecationWarning): + + @serve.deployment(autoscaling_config={"metrics_interval_s": 5}) + class Foo: + ... + + # ... or if it is deserialized from proto as part of a DeploymentConfig (presumably in the Serve Controller) + deployment_config_proto_bytes = DeploymentConfig( + autoscaling_config=AutoscalingConfig(metrics_interval_s=5) + ).to_proto_bytes() + with pytest.warns(DeprecationWarning): + DeploymentConfig.from_proto_bytes(deployment_config_proto_bytes) + + # Default settings should not raise a warning + with warnings.catch_warnings(): + warnings.simplefilter("error") + AutoscalingConfig() + + class TestDeploymentConfig: def test_deployment_config_validation(self): # Test config ignoring unknown keys (required for forward-compatibility) diff --git a/python/ray/serve/tests/unit/test_router.py b/python/ray/serve/tests/unit/test_router.py index 70fe7a2e5998..9017efd18c73 100644 --- a/python/ray/serve/tests/unit/test_router.py +++ b/python/ray/serve/tests/unit/test_router.py @@ -992,7 +992,7 @@ def test_push_autoscaling_metrics_to_controller(self): ) @pytest.mark.asyncio @patch( - "ray.serve._private.router.RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_PERIOD_S", + "ray.serve._private.router.RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S", 0.01, ) async def test_memory_cleared(self): diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index 1293a12def01..d26aa1e9ad81 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -31,7 +31,10 @@ message AutoscalingConfig { // to min_replicas. uint32 max_replicas = 2; - // The frequency of how long does each replica sending metrics to autoscaler. + // [DEPRECATED] The frequency of how long does each replica sending metrics to + // autoscaler, but this will be replaced by the environment variables + // RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S and + // RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S in a future release. double metrics_interval_s = 3; // The window (in seconds) for autoscaler to calculate rolling average of metrics on. From c351316afb1aff21b1398358cccabb4ff2a48a8e Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 6 Aug 2025 19:32:18 -0700 Subject: [PATCH 0537/1566] [core] Log actor plasma restart warning only once per process (#55311) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 2 +- src/ray/util/logging.h | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 4963645e86f5..65c334b94b39 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2239,7 +2239,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, } } if (actor_restart_warning) { - RAY_LOG(ERROR) + RAY_LOG_ONCE_PER_PROCESS(ERROR) << "Actor " << (actor_name.empty() ? "" : (actor_name + " ")) << "with class name: '" << function.GetFunctionDescriptor()->ClassName() << "' and ID: '" << task_spec.ActorCreationId() diff --git a/src/ray/util/logging.h b/src/ray/util/logging.h index 4bdad47f96d2..6bd06f15038e 100644 --- a/src/ray/util/logging.h +++ b/src/ray/util/logging.h @@ -185,6 +185,10 @@ enum class RayLogLevel { RAY_LOG_OCCURRENCES.fetch_add(1) % n == 0) \ RAY_LOG_INTERNAL(ray::RayLogLevel::level) << "[" << RAY_LOG_OCCURRENCES << "] " +#define RAY_LOG_ONCE_PER_PROCESS(level) \ + static std::atomic_bool once_log_flag##__LINE__(false); \ + if (!once_log_flag##__LINE__.exchange(true)) RAY_LOG(level) + // Occasional logging with DEBUG fallback: // If DEBUG is not enabled, log every n'th occurrence of an event. // Otherwise, if DEBUG is enabled, always log as DEBUG events. From 158da3ced8f80b4f4e39151ac3fdc5379c8b4b48 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 6 Aug 2025 23:44:42 -0400 Subject: [PATCH 0538/1566] Revert "[Data] Update Export API metadata and refresh the dataset/operator state when there is a change (#54623)" (#55333) reverts commit 7cb74e845b0a8edebed8d7e5d0c441474eab1a6e, that broke master branch due to conflict with https://github.com/ray-project/ray/pull/55163 Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../data/_internal/execution/dataset_state.py | 22 ---- .../_internal/execution/streaming_executor.py | 26 +---- .../ray/data/_internal/metadata_exporter.py | 24 +---- python/ray/data/_internal/stats.py | 99 +++++------------ python/ray/data/tests/test_state_export.py | 100 ------------------ .../protobuf/export_dataset_metadata.proto | 36 +------ 6 files changed, 31 insertions(+), 276 deletions(-) delete mode 100644 python/ray/data/_internal/execution/dataset_state.py diff --git a/python/ray/data/_internal/execution/dataset_state.py b/python/ray/data/_internal/execution/dataset_state.py deleted file mode 100644 index 702963234baf..000000000000 --- a/python/ray/data/_internal/execution/dataset_state.py +++ /dev/null @@ -1,22 +0,0 @@ -import enum - - -class DatasetState(enum.IntEnum): - """Enum representing the possible states of a dataset during execution.""" - - UNKNOWN = 0 - RUNNING = 1 - FINISHED = 2 - FAILED = 3 - PENDING = 4 - - def __str__(self): - return self.name - - @classmethod - def from_string(cls, text): - """Get enum by name.""" - try: - return cls[text] # This uses the name to lookup the enum - except KeyError: - return cls.UNKNOWN diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index cb338fc159e7..6806c69bdd9d 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -9,7 +9,6 @@ BackpressurePolicy, get_backpressure_policies, ) -from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.execution_callback import get_execution_callbacks from ray.data._internal.execution.interfaces import ( ExecutionResources, @@ -38,7 +37,7 @@ ) from ray.data._internal.metadata_exporter import Topology as TopologyMetadata from ray.data._internal.progress_bar import ProgressBar -from ray.data._internal.stats import DatasetStats, StatsManager, Timer +from ray.data._internal.stats import DatasetState, DatasetStats, StatsManager, Timer from ray.data.context import OK_PREFIX, WARN_PREFIX, DataContext from ray.util.metrics import Gauge @@ -87,7 +86,6 @@ def __init__( self._backpressure_policies: List[BackpressurePolicy] = [] self._dataset_id = dataset_id - self._has_op_scheduled: Optional[Dict[PhysicalOperator, bool]] = None # Stores if an operator is completed, # used for marking when an op has just completed. self._has_op_completed: Optional[Dict[PhysicalOperator, bool]] = None @@ -189,7 +187,6 @@ def execute( execution_id=self._dataset_id, ) - self._has_op_scheduled = dict.fromkeys(self._topology, False) self._has_op_completed = dict.fromkeys(self._topology, False) self._output_node = dag, self._topology[dag] @@ -263,17 +260,11 @@ def shutdown(self, force: bool, exception: Optional[Exception] = None): # Set the appropriate description that summarizes # the result of dataset execution. if exception is None: - StatsManager.update_dataset_metadata_state( - self._dataset_id, DatasetState.FINISHED.name - ) prog_bar_msg = ( f"{OK_PREFIX} Dataset {self._dataset_id} execution finished in " f"{self._final_stats.time_total_s:.2f} seconds" ) else: - StatsManager.update_dataset_metadata_state( - self._dataset_id, DatasetState.FAILED.name - ) prog_bar_msg = ( f"{WARN_PREFIX} Dataset {self._dataset_id} execution failed" ) @@ -323,9 +314,6 @@ def run(self): Results are returned via the output node's outqueue. """ exc: Optional[Exception] = None - StatsManager.update_dataset_metadata_state( - self._dataset_id, DatasetState.RUNNING.name - ) try: # Run scheduling loop until complete. while True: @@ -465,11 +453,6 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: break topology[op].dispatch_next_task() - if not self._has_op_scheduled.get(op, False): - StatsManager.update_dataset_metadata_operator_state( - self._dataset_id, op.id, DatasetState.RUNNING.name - ) - self._has_op_scheduled[op] = True self._resource_manager.update_usages() @@ -492,9 +475,6 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: # Log metrics of newly completed operators. for op in topology: if op.completed() and not self._has_op_completed[op]: - StatsManager.update_dataset_metadata_operator_state( - self._dataset_id, op.id, DatasetState.FINISHED.name - ) log_str = ( f"Operator {op} completed. " f"Operator Metrics:\n{op._metrics.as_dict(skip_internal_metrics=True)}" @@ -568,9 +548,7 @@ def _get_state_dict(self, state): "progress": last_state.num_completed_tasks, "total": last_op.num_outputs_total(), "total_rows": last_op.num_output_rows_total(), - "end_time": time.time() - if state in (DatasetState.FINISHED.name, DatasetState.FAILED.name) - else None, + "end_time": time.time() if state != DatasetState.RUNNING.name else None, "operators": { f"{self._get_operator_id(op, i)}": { "name": op.name, diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index aeed06999b8a..dfc2a60bcffc 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -13,7 +13,6 @@ check_export_api_enabled, get_export_event_logger, ) -from ray.data._internal.execution.dataset_state import DatasetState from ray.data.context import DataContext if TYPE_CHECKING: @@ -61,17 +60,11 @@ class Operator: sub_stages: List of sub-stages contained within this operator. args: User-specified arguments associated with the operator, which may include configuration settings, options, or other relevant data for the operator. - execution_start_time: The timestamp when the operator execution begins. - execution_end_time: The timestamp when the operator execution ends. - state: The state of the operator. """ name: str id: str uuid: str - execution_start_time: Optional[float] - execution_end_time: Optional[float] - state: str input_dependencies: List[str] = field(default_factory=list) sub_stages: List[SubStage] = field(default_factory=list) args: Dict[str, Any] = field(default_factory=dict) @@ -115,9 +108,6 @@ def create_topology_metadata( op_to_id[dep] for dep in op.input_dependencies if dep in op_to_id ], args=sanitize_for_struct(op._get_logical_args()), - execution_start_time=None, - execution_end_time=None, - state=DatasetState.PENDING.name, ) # Add sub-stages if they exist @@ -141,11 +131,8 @@ class DatasetMetadata: job_id: The ID of the job running this dataset. topology: The structure of the dataset's operator DAG. dataset_id: The unique ID of the dataset. - start_time: The timestamp when the dataset is registered. + start_time: The timestamp when the dataset execution started. data_context: The DataContext attached to the dataset. - execution_start_time: The timestamp when the dataset execution starts. - execution_end_time: The timestamp when the dataset execution ends. - state: The state of the dataset. """ job_id: str @@ -153,9 +140,6 @@ class DatasetMetadata: dataset_id: str start_time: float data_context: DataContext - execution_start_time: Optional[float] - execution_end_time: Optional[float] - state: str def _add_ellipsis(s, truncate_length): @@ -218,9 +202,6 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: id=op.id, uuid=op.uuid, args=args, - execution_start_time=op.execution_start_time, - execution_end_time=op.execution_end_time, - state=ProtoOperator.OperatorState.Value(op.state), ) # Add input dependencies @@ -246,9 +227,6 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: job_id=dataset_metadata.job_id, start_time=dataset_metadata.start_time, data_context=data_context, - execution_start_time=dataset_metadata.execution_start_time, - execution_end_time=dataset_metadata.execution_end_time, - state=ProtoDatasetMetadata.DatasetState.Value(dataset_metadata.state), ) proto_dataset_metadata.topology.CopyFrom(proto_topology) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 51c74696ca8e..1b129f81c5c0 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -1,4 +1,5 @@ import collections +import enum import logging import threading import time @@ -13,7 +14,6 @@ import ray from ray.actor import ActorHandle from ray.data._internal.block_list import BlockList -from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.interfaces.op_runtime_metrics import ( NODE_UNKNOWN, MetricsGroup, @@ -21,11 +21,7 @@ NodeMetrics, OpRuntimeMetrics, ) -from ray.data._internal.metadata_exporter import ( - DatasetMetadata, - Topology, - get_dataset_metadata_exporter, -) +from ray.data._internal.metadata_exporter import Topology, get_dataset_metadata_exporter from ray.data._internal.util import capfirst from ray.data.block import BlockStats from ray.data.context import DataContext @@ -174,7 +170,6 @@ def __init__(self, max_stats=1000): # Initialize the metadata exporter self._metadata_exporter = get_dataset_metadata_exporter() - self.dataset_metadatas: Dict[str, DatasetMetadata] = {} # Ray Data dashboard metrics # Everything is a gauge because we need to reset all of @@ -482,7 +477,7 @@ def register_dataset( start_time = time.time() self.datasets[dataset_tag] = { "job_id": job_id, - "state": DatasetState.PENDING.name, + "state": DatasetState.RUNNING.name, "progress": 0, "total": 0, "total_rows": 0, @@ -490,7 +485,7 @@ def register_dataset( "end_time": None, "operators": { operator: { - "state": DatasetState.PENDING.name, + "state": DatasetState.RUNNING.name, "progress": 0, "total": 0, "queued_blocks": 0, @@ -499,19 +494,16 @@ def register_dataset( }, } if self._metadata_exporter is not None: - self.dataset_metadatas[dataset_tag] = DatasetMetadata( + from ray.data._internal.metadata_exporter import DatasetMetadata + + dataset_metadata = DatasetMetadata( job_id=job_id, topology=topology, dataset_id=dataset_tag, start_time=start_time, data_context=data_context, - execution_start_time=None, - execution_end_time=None, - state=DatasetState.PENDING.name, - ) - self._metadata_exporter.export_dataset_metadata( - self.dataset_metadatas[dataset_tag] ) + self._metadata_exporter.export_dataset_metadata(dataset_metadata) def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): self.datasets[dataset_tag].update(state) @@ -562,53 +554,6 @@ def get_datasets(self, job_id: Optional[str] = None): return self.datasets return {k: v for k, v in self.datasets.items() if v["job_id"] == job_id} - def update_dataset_metadata_state(self, dataset_id: str, new_state: str): - if dataset_id not in self.dataset_metadatas: - return - update_time = time.time() - dataset_metadata = self.dataset_metadatas[dataset_id] - if dataset_metadata.state == new_state: - return - dataset_metadata.state = new_state - if new_state == DatasetState.RUNNING.name: - dataset_metadata.execution_start_time = update_time - elif new_state in (DatasetState.FINISHED.name, DatasetState.FAILED.name): - dataset_metadata.execution_end_time = update_time - # Update metadata of running operators - for operator in dataset_metadata.topology.operators: - if operator.state == DatasetState.RUNNING.name: - operator.state = new_state - operator.execution_end_time = update_time - - self._metadata_exporter.export_dataset_metadata(dataset_metadata) - - def update_dataset_metadata_operator_state( - self, dataset_id: str, operator_uuid: str, new_state: str - ): - if dataset_id not in self.dataset_metadatas: - return - update_time = time.time() - dataset_metadata = self.dataset_metadatas[dataset_id] - operator_metadata = None - for operator in dataset_metadata.topology.operators: - if operator.uuid == operator_uuid: - operator_metadata = operator - break - - if operator_metadata is None or operator_metadata.state == new_state: - return - operator_metadata.state = new_state - if new_state == DatasetState.RUNNING.name: - operator_metadata.execution_start_time = update_time - elif new_state in (DatasetState.FINISHED.name, DatasetState.FAILED.name): - operator_metadata.execution_end_time = update_time - # Handle outlier case for InputDataBuffer, which is marked as finished immediately and does not have a RUNNING state. - # Set the execution time the same as its end time - if not operator_metadata.execution_start_time: - operator_metadata.execution_start_time = update_time - - self._metadata_exporter.export_dataset_metadata(dataset_metadata) - def _create_tags( self, dataset_tag: str, @@ -877,18 +822,28 @@ def get_dataset_id_from_stats_actor(self) -> str: # fall back to uuid4 return uuid4().hex - def update_dataset_metadata_state(self, dataset_id: str, new_state: str): - self._stats_actor().update_dataset_metadata_state.remote(dataset_id, new_state) - def update_dataset_metadata_operator_state( - self, dataset_id: str, operator_uuid: str, new_state: str - ): - self._stats_actor().update_dataset_metadata_operator_state.remote( - dataset_id, operator_uuid, new_state - ) +StatsManager = _StatsManager() -StatsManager = _StatsManager() +class DatasetState(enum.IntEnum): + """Enum representing the possible states of a dataset during execution.""" + + UNKNOWN = 0 + RUNNING = 1 + FINISHED = 2 + FAILED = 3 + + def __str__(self): + return self.name + + @classmethod + def from_string(cls, text): + """Get enum by name.""" + try: + return cls[text] # This uses the name to lookup the enum + except KeyError: + return cls.UNKNOWN class DatasetStats: diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index 8b2950588738..58beeff858a9 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -6,7 +6,6 @@ import ray from ray.data import DataContext -from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.metadata_exporter import ( UNKNOWN, Operator, @@ -74,9 +73,6 @@ def dummy_dataset_topology(): uuid="uuid_0", input_dependencies=[], sub_stages=[], - execution_start_time=1.0, - execution_end_time=1.0, - state="FINISHED", ), Operator( name="ReadRange->Map()->Filter()", @@ -84,9 +80,6 @@ def dummy_dataset_topology(): uuid="uuid_1", input_dependencies=["Input_0"], sub_stages=[], - execution_start_time=0.0, - execution_end_time=0.0, - state="RUNNING", ), ], ) @@ -202,9 +195,6 @@ def test_export_multiple_datasets( uuid="second_uuid_0", input_dependencies=[], sub_stages=[], - execution_start_time=1.0, - execution_end_time=1.0, - state="FINISHED", ), Operator( name="ReadRange->Map()", @@ -212,9 +202,6 @@ def test_export_multiple_datasets( uuid="second_uuid_1", input_dependencies=["Input_0"], sub_stages=[], - execution_start_time=2.0, - execution_end_time=0.0, - state="RUNNING", ), ], ) @@ -347,93 +334,6 @@ def test_sanitize_for_struct(input_obj, expected_output, truncate_length): assert result == expected_output -def test_update_dataset_metadata_state( - ray_start_cluster_with_export_api_write, dummy_dataset_topology -): - """Test dataset state update at the export API""" - stats_actor = _get_or_create_stats_actor() - # Register dataset - ray.get( - stats_actor.register_dataset.remote( - job_id=STUB_JOB_ID, - dataset_tag=STUB_DATASET_ID, - operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], - topology=dummy_dataset_topology, - data_context=DataContext.get_current(), - ) - ) - # Check that export files were created as expected - data = _get_exported_data() - assert len(data) == 1 - assert data[0]["event_data"]["state"] == DatasetState.PENDING.name - - # Test update state to RUNNING - ray.get( - stats_actor.update_dataset_metadata_state.remote( - dataset_id=STUB_DATASET_ID, new_state=DatasetState.RUNNING.name - ) - ) - data = _get_exported_data() - assert len(data) == 2 - assert data[1]["event_data"]["state"] == DatasetState.RUNNING.name - assert data[1]["event_data"]["execution_start_time"] > 0 - - # Test update to FINISHED - ray.get( - stats_actor.update_dataset_metadata_state.remote( - dataset_id=STUB_DATASET_ID, new_state=DatasetState.FINISHED.name - ) - ) - data = _get_exported_data() - assert len(data) == 3 - assert data[2]["event_data"]["state"] == DatasetState.FINISHED.name - assert data[2]["event_data"]["execution_end_time"] > 0 - assert ( - data[2]["event_data"]["topology"]["operators"][1]["state"] - == DatasetState.FINISHED.name - ) - assert data[2]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 - - -def test_update_dataset_metadata_operator_state( - ray_start_cluster_with_export_api_write, dummy_dataset_topology -): - stats_actor = _get_or_create_stats_actor() - # Register dataset - ray.get( - stats_actor.register_dataset.remote( - dataset_tag=STUB_DATASET_ID, - operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], - topology=dummy_dataset_topology, - job_id=STUB_JOB_ID, - data_context=DataContext.get_current(), - ) - ) - data = _get_exported_data() - assert len(data) == 1 - assert ( - data[0]["event_data"]["topology"]["operators"][1]["state"] - == DatasetState.RUNNING.name - ) - - # Test update to FINISHED - operator_uuid = "uuid_1" - ray.get( - stats_actor.update_dataset_metadata_operator_state.remote( - dataset_id=STUB_DATASET_ID, - operator_uuid=operator_uuid, - new_state=DatasetState.FINISHED.name, - ) - ) - data = _get_exported_data() - assert len(data) == 2 - assert ( - data[1]["event_data"]["topology"]["operators"][1]["state"] - == DatasetState.FINISHED.name - ) - assert data[1]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 - - if __name__ == "__main__": import sys diff --git a/src/ray/protobuf/export_dataset_metadata.proto b/src/ray/protobuf/export_dataset_metadata.proto index a508b5c3d186..ce78d1458b8d 100644 --- a/src/ray/protobuf/export_dataset_metadata.proto +++ b/src/ray/protobuf/export_dataset_metadata.proto @@ -30,14 +30,6 @@ message SubStage { // Represents a data processing operator in the DAG message Operator { - enum OperatorState { - UNKNOWN = 0; - RUNNING = 1; - FINISHED = 2; - FAILED = 3; - PENDING = 4; - } - // Name of the operator string name = 1; @@ -61,15 +53,6 @@ message Operator { // can be found in `_get_logical_args`, and is used to help understand how a // user's arguments lead to a dataset's state execution google.protobuf.Struct args = 6; - - // The timestamp when execution starts (in seconds since epoch) - double execution_start_time = 7; - - // The timestamp when execution ends (in seconds since epoch) - double execution_end_time = 8; - - // The state of the operator - OperatorState state = 9; } // Represents the complete structure of the operator DAG @@ -80,14 +63,6 @@ message Topology { // Top-level message containing full metadata about a Ray Data execution message ExportDatasetMetadata { - enum DatasetState { - UNKNOWN = 0; - RUNNING = 1; - FINISHED = 2; - FAILED = 3; - PENDING = 4; - } - // The operator DAG structure Topology topology = 1; @@ -97,18 +72,9 @@ message ExportDatasetMetadata { // The Ray Job ID string job_id = 3; - // The timestamp when dataset is registered (in seconds since epoch) + // The timestamp when execution started (in seconds since epoch) double start_time = 4; // The data context attached to the dataset. google.protobuf.Struct data_context = 5; - - // The timestamp when execution starts (in seconds since epoch) - double execution_start_time = 6; - - // The timestamp when execution ends (in seconds since epoch) - double execution_end_time = 7; - - // The state of the dataset - DatasetState state = 8; } From f1a92fe36ff98c7cb2d9bdc65c5fca51e7a50b92 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Wed, 6 Aug 2025 21:10:53 -0700 Subject: [PATCH 0539/1566] [core] Patch grpc with RAY_num_grpc_threads to control grpc thread count (#54988) Signed-off-by: Zac Policzer Signed-off-by: Edward Oakes Signed-off-by: zac Co-authored-by: Jiajun Yao Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- bazel/ray_deps_setup.bzl | 1 + python/ray/tests/test_basic.py | 34 +++++++++++++++++++ src/ray/common/constants.h | 2 ++ src/ray/common/ray_config_def.h | 12 +++++-- src/ray/raylet/worker_pool.cc | 29 ++++++++++------ .../grpc-configurable-thread-count.patch | 31 +++++++++++++++++ 6 files changed, 96 insertions(+), 13 deletions(-) create mode 100644 thirdparty/patches/grpc-configurable-thread-count.patch diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index eab9d0246a20..210f71c8b1da 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -279,6 +279,7 @@ def ray_deps_setup(): patches = [ "@com_github_ray_project_ray//thirdparty/patches:grpc-cython-copts.patch", "@com_github_ray_project_ray//thirdparty/patches:grpc-zlib-fdopen.patch", + "@com_github_ray_project_ray//thirdparty/patches:grpc-configurable-thread-count.patch", ], ) diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index a1c230dc847f..d519af6e7f60 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -10,6 +10,7 @@ import pytest import ray +import psutil import ray.cluster_utils from ray._common.test_utils import SignalActor from ray._private.test_utils import ( @@ -232,6 +233,39 @@ def f(): ray.get(f.remote()) +def test_worker_thread_count(monkeypatch, shutdown_only): + """This test will fail if the number of threads spawned by a worker process + increases. If you find that a patch is now causing this test to fail, + consider if this thread count change is expected and adjust the test + (or your patch) accordingly! + """ + + @ray.remote + class Actor: + def get_thread_count(self): + try: + process = psutil.Process(os.getpid()) + return process.num_threads() + except ImportError: + return None + + # Set the environment variables used by the raylet and worker + monkeypatch.setenv("RAY_worker_num_grpc_internal_threads", "1") + monkeypatch.setenv("RAY_num_server_call_thread", "1") + + # TODO(#55215): The for loop and the 'assert ... in {..,..}' complicates this + # test unnecessarily. We should only need to call the assert after + # a single call to the worker. However, because the thread count + # per worker today isn't entirely static, we need to allow for this + # flexibility. https://github.com/ray-project/ray/issues/55215 + actor = Actor.remote() + for _ in range(5): + ray.get(actor.get_thread_count.remote()) + # Lowering these numbers in this assert should be celebrated, + # increasing these numbers should be scrutinized + assert ray.get(actor.get_thread_count.remote()) in {24, 25} + + # https://github.com/ray-project/ray/issues/7287 def test_omp_threads_set(ray_start_cluster, monkeypatch): cluster = ray_start_cluster diff --git a/src/ray/common/constants.h b/src/ray/common/constants.h index 51d78b683bae..9ee40fd92673 100644 --- a/src/ray/common/constants.h +++ b/src/ray/common/constants.h @@ -56,6 +56,8 @@ constexpr int kPublicDNSServerPort = 53; constexpr char kEnvVarKeyJobId[] = "RAY_JOB_ID"; constexpr char kEnvVarKeyRayletPid[] = "RAY_RAYLET_PID"; +constexpr char kEnvVarKeyGrpcThreadCount[] = "RAY_num_grpc_internal_threads"; + /// for cross-langueage serialization constexpr int kMessagePackOffset = 9; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 40ad7cb674a0..b0e65a3f354d 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -946,10 +946,16 @@ RAY_CONFIG(bool, enable_infeasible_task_early_exit, false); // disconnects. RAY_CONFIG(int64_t, raylet_check_for_unexpected_worker_disconnect_interval_ms, 1000) -/// The maximum time in seconds that an actor task can wait in the scheduling queue -/// for tasks with smaller sequence numbers to show up. If timed out, the task will -/// be cancelled. +// The maximum time in seconds that an actor task can wait in the scheduling queue +// for tasks with smaller sequence numbers to show up. If timed out, the task will +// be cancelled. RAY_CONFIG(int64_t, actor_scheduling_queue_max_reorder_wait_seconds, 30) /// Timeout for raylet grpc server reconnection in seconds. RAY_CONFIG(int32_t, raylet_rpc_server_reconnect_timeout_s, 60) + +// The number of grpc threads spun up on the worker process. This config is consumed +// by the raylet and then broadcast to the worker process at time of the worker +// process getting spawned. Setting to zero or less maintains the default +// number of threads grpc will spawn. +RAY_CONFIG(int64_t, worker_num_grpc_internal_threads, 0) diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index c8e539f265e0..ddb7e929a7cf 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -401,6 +401,13 @@ WorkerPool::BuildProcessCommandArgs(const Language &language, env.emplace(kEnvVarKeyJobId, job_id.Hex()); RAY_LOG(DEBUG) << "Launch worker with " << kEnvVarKeyJobId << " " << job_id.Hex(); } + + // optionally configure the worker's internal grpc thread count + int64_t worker_grpc_threads = RayConfig::instance().worker_num_grpc_internal_threads(); + if (worker_grpc_threads > 0) { + env.emplace(kEnvVarKeyGrpcThreadCount, std::to_string(worker_grpc_threads)); + } + env.emplace(kEnvVarKeyRayletPid, std::to_string(GetPID())); // TODO(SongGuyang): Maybe Python and Java also need native library path in future. @@ -635,11 +642,21 @@ void WorkerPool::MonitorPopWorkerRequestForRegistration( Process WorkerPool::StartProcess(const std::vector &worker_command_args, const ProcessEnvironment &env) { + // Launch the process to create the worker. + std::error_code ec; + std::vector argv; + for (const std::string &arg : worker_command_args) { + argv.push_back(arg.c_str()); + } + argv.push_back(NULL); + if (RAY_LOG_ENABLED(DEBUG)) { std::string debug_info; debug_info.append("Starting worker process with command:"); - for (const auto &arg : worker_command_args) { - debug_info.append(" ").append(arg); + for (const char *arg : argv) { + if (arg != NULL) { + debug_info.append(" ").append(arg); + } } debug_info.append(", and the envs:"); for (const auto &entry : env) { @@ -657,14 +674,6 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ RAY_LOG(DEBUG) << debug_info; } - // Launch the process to create the worker. - std::error_code ec; - std::vector argv; - for (const std::string &arg : worker_command_args) { - argv.push_back(arg.c_str()); - } - argv.push_back(NULL); - Process child(argv.data(), io_service_, ec, /*decouple=*/false, env); if (!child.IsValid() || ec) { // errorcode 24: Too many files. This is caused by ulimit. diff --git a/thirdparty/patches/grpc-configurable-thread-count.patch b/thirdparty/patches/grpc-configurable-thread-count.patch new file mode 100644 index 000000000000..26387f51a5be --- /dev/null +++ b/thirdparty/patches/grpc-configurable-thread-count.patch @@ -0,0 +1,31 @@ +diff --git src/core/lib/gpr/linux/cpu.cc b/src/core/lib/gpr/linux/cpu.cc +index 670ca6551c..043021dc4a 100644 +--- src/core/lib/gpr/linux/cpu.cc ++++ src/core/lib/gpr/linux/cpu.cc +@@ -24,6 +24,7 @@ + + #ifdef GPR_CPU_LINUX + ++#include + #include + #include + #include +@@ -49,7 +50,17 @@ static void init_num_cpus() { + #endif + // This must be signed. sysconf returns -1 when the number cannot be + // determined +- ncpus = static_cast(sysconf(_SC_NPROCESSORS_CONF)); ++ static const char* grpc_pooling_env_var_name = "RAY_num_grpc_internal_threads"; ++ const char* env_var_value = std::getenv(grpc_pooling_env_var_name); ++ if (env_var_value != nullptr) { ++ const char* end = env_var_value + std::strlen(env_var_value); ++ auto const out = std::from_chars(env_var_value, end, ncpus); ++ if(out.ec != std::errc()) { ++ ncpus = static_cast(sysconf(_SC_NPROCESSORS_CONF)); ++ } ++ } else { ++ ncpus = static_cast(sysconf(_SC_NPROCESSORS_CONF)); ++ } + if (ncpus < 1) { + gpr_log(GPR_ERROR, "Cannot determine number of CPUs: assuming 1"); + ncpus = 1; From 7c9b79ac758e39c0bd2882c978c4c9d9af62292f Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Wed, 6 Aug 2025 22:31:50 -0700 Subject: [PATCH 0540/1566] [Core] Bind runtime env agent and dashboard agent server to specified ip instead of 0.0.0.0 (#55298) Signed-off-by: avigyabb Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/agent/main.py | 5 +---- python/ray/dashboard/agent.py | 9 ++++++--- python/ray/dashboard/http_server_agent.py | 9 ++++++++- 3 files changed, 15 insertions(+), 8 deletions(-) diff --git a/python/ray/_private/runtime_env/agent/main.py b/python/ray/_private/runtime_env/agent/main.py index f9beaa6167c9..e65de4d63bd4 100644 --- a/python/ray/_private/runtime_env/agent/main.py +++ b/python/ray/_private/runtime_env/agent/main.py @@ -218,13 +218,10 @@ def parent_dead_callback(msg): check_raylet_task = create_check_raylet_task( args.log_dir, gcs_client, parent_dead_callback, loop ) - runtime_env_agent_ip = ( - "127.0.0.1" if args.node_ip_address == "127.0.0.1" else "0.0.0.0" - ) try: web.run_app( app, - host=runtime_env_agent_ip, + host=args.node_ip_address, port=args.runtime_env_agent_port, loop=loop, ) diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 9e6513342d17..b90ec47cc780 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -108,11 +108,14 @@ def _init_non_minimal(self): ), ) # noqa ) - grpc_ip = "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0" try: self.grpc_port = add_port_to_grpc_server( - self.server, f"{grpc_ip}:{self.dashboard_agent_port}" + self.server, f"{self.ip}:{self.dashboard_agent_port}" ) + if self.ip != "127.0.0.1" and self.ip != "localhost": + self.grpc_port = add_port_to_grpc_server( + self.server, f"127.0.0.1:{self.dashboard_agent_port}" + ) except Exception: # TODO(SongGuyang): Catch the exception here because there is # port conflict issue which brought from static port. We should @@ -124,7 +127,7 @@ def _init_non_minimal(self): self.server = None self.grpc_port = None else: - logger.info("Dashboard agent grpc address: %s:%s", grpc_ip, self.grpc_port) + logger.info("Dashboard agent grpc address: %s:%s", self.ip, self.grpc_port) # If the agent is not minimal it should start the http server # to communicate with the dashboard in a head node. diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index eba97aee9ad5..a585eb33bf3d 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -43,10 +43,17 @@ async def _start_site_with_retry( try: site = aiohttp.web.TCPSite( self.runner, - "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0", + self.ip, self.listen_port, ) await site.start() + if self.ip != "127.0.0.1" and self.ip != "localhost": + local_site = aiohttp.web.TCPSite( + self.runner, + "127.0.0.1", + self.listen_port, + ) + await local_site.start() if attempt > 0: logger.info( f"Successfully started agent on port {self.listen_port} " From 5cddc2b80680c019a80e16215c7a337c609846c6 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 6 Aug 2025 22:42:16 -0700 Subject: [PATCH 0541/1566] [LLM] Downgrade to transformers<4.54.0 in ray-llm (#55295) Avoid https://github.com/vllm-project/vllm-ascend/issues/2046 by using `transformers<4.54.0`, which is also supported by vLLM. Ref: https://github.com/vllm-project/vllm/blob/releases/v0.10.0/requirements/common.txt#L10 --------- Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- python/requirements/llm/llm-requirements.txt | 6 +++++- python/requirements_compiled_rayllm_py311_cpu.txt | 7 ++++--- python/requirements_compiled_rayllm_py311_cu121.txt | 7 ++++--- python/requirements_compiled_rayllm_py311_cu128.txt | 7 ++++--- python/requirements_compiled_rayllm_test_py311_cpu.txt | 7 ++++--- python/requirements_compiled_rayllm_test_py311_cu121.txt | 7 ++++--- python/requirements_compiled_rayllm_test_py311_cu128.txt | 7 ++++--- 7 files changed, 29 insertions(+), 19 deletions(-) diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index 6bfb50ba15b3..9f2815ec0951 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -1,4 +1,7 @@ -# Keep this in sync with the definition in setup.py for ray[llm] +# Keep this in sync with the definition in setup.py for ray[llm], unless +# constraining to a maximum version (i.e. <=) to temporarily work around a bug. +# Those pins for the sake of workarounds should not be advertised as constraints +# on future releases in setup.py. vllm>=0.10.0 # For json mode jsonref>=1.1.0 @@ -10,6 +13,7 @@ typer meson pybind11 hf_transfer +transformers<4.54.0 # Due to https://github.com/vllm-project/vllm-ascend/issues/2046 # nixl version Needs to be in sync with the one in ray-llm/Dockerfile nixl==0.3.1 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index fdb97454dc5f..96179efeaef6 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -3280,11 +3280,12 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index d1c1b244339d..61dfd0f354e5 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -3425,11 +3425,12 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index bd0e8e06ffe4..0435a7e31115 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -3319,11 +3319,12 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 98267657317d..5c59d6a2d967 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -4280,10 +4280,11 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index e862657ac96d..b33cc1e6eb75 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -4400,10 +4400,11 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 2d7544591c7f..56592053ec4f 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -4293,10 +4293,11 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.54.1 \ - --hash=sha256:b2551bb97903f13bd90c9467d0a144d41ca4d142defc044a99502bb77c5c1052 \ - --hash=sha256:c89965a4f62a0d07009d45927a9c6372848a02ab9ead9c318c3d082708bab529 +transformers==4.53.2 \ + --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ + --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via + # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar From a0a39074613f487325d9cdfe9aa9076147b80652 Mon Sep 17 00:00:00 2001 From: Pavitra Bhalla Date: Thu, 7 Aug 2025 01:21:25 -0700 Subject: [PATCH 0542/1566] chore: typos in documentation (#55353) ## Why are these changes needed? Fixes a few typos in the documentation. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Pavitra Bhalla Signed-off-by: pavitrabhalla Signed-off-by: Douglas Strodtman --- .../05_Improve_RAG_with_Prompt_Engineering.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb index f633800f015d..708c1202c1e6 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/05_Improve_RAG_with_Prompt_Engineering.ipynb @@ -8,7 +8,7 @@ "\n", "This section provides detailed guidance on prompt engineering specifically tailored for Retrieval-Augmented Generation (RAG) applications. Here, we explore best practices, strategies, and tips for designing effective prompts that optimize the integration of external knowledge sources with generative models.\n", "\n", - "The purose of this tutorial is to build a RAG that can answer questions related to Ray or Anyscale, but note that **we have ingested 100 docs in Notebook #2, but we only have 5 documents of Anyscale which are all related to the `Anyscale Jobs`.**. this is just for demo pupose But in real production, it's very easy to ingest more doucments and build a production ready RAG application using this improved prompts showed in the tutorial." + "The purpose of this tutorial is to build a RAG that can answer questions related to Ray or Anyscale, but note that **we have ingested 100 docs in Notebook #2, but we only have 5 documents of Anyscale which are all related to the `Anyscale Jobs`.**. this is just for demo pupose But in real production, it's very easy to ingest more doucments and build a production ready RAG application using this improved prompts showed in the tutorial." ] }, { @@ -67,7 +67,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Initlize the RAG components\n", + "## Initialize the RAG components\n", "\n", "First, initializing the necessary components:\n", "\n", @@ -359,7 +359,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Problem 2: Irerelvant User Request\n", + "### Problem 2: Irrelevant User Request\n", "\n", "Users may sometimes ask irrelevant questions, which could lead to misuse of the chatbot. A basic prompt may not be sufficient to handle such requests effectively. Therefore, it is important to define the scope of the LLM’s responses to ensure appropriate and meaningful interactions." ] @@ -559,9 +559,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 2. Irerelvant user request - Handled\n", + "### 2. Irrelevant user request - Handled\n", "\n", - "Now RAG can handle and deflect the Irerelvant user request." + "Now RAG can handle and deflect the Irrelevant user request." ] }, { @@ -1321,7 +1321,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Obeservations\n", + "## Observations\n", "\n", "As you can see above, the content of the response is rendered correctly with citations.\n", "\n", From d1b7fce4f0be3403bfef1d4f902b6808c4125460 Mon Sep 17 00:00:00 2001 From: rebel-scottlee Date: Thu, 7 Aug 2025 23:49:41 +0900 Subject: [PATCH 0543/1566] [Core] Add AcceleratorManager implementation for Rebellions NPU (#53985) Signed-off-by: Scott Lee Signed-off-by: rebel-scottlee Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- .../ray-core/scheduling/accelerators.rst | 57 +++++++++++++ python/ray/_private/accelerators/__init__.py | 3 + python/ray/_private/accelerators/rbln.py | 78 ++++++++++++++++++ python/ray/tests/BUILD | 1 + python/ray/tests/accelerators/mock_rebel.py | 6 ++ python/ray/tests/accelerators/test_rbln.py | 81 +++++++++++++++++++ src/ray/common/ray_config_def.h | 2 +- 7 files changed, 227 insertions(+), 1 deletion(-) create mode 100644 python/ray/_private/accelerators/rbln.py create mode 100644 python/ray/tests/accelerators/mock_rebel.py create mode 100644 python/ray/tests/accelerators/test_rbln.py diff --git a/doc/source/ray-core/scheduling/accelerators.rst b/doc/source/ray-core/scheduling/accelerators.rst index 162701ee0020..707b5b75a053 100644 --- a/doc/source/ray-core/scheduling/accelerators.rst +++ b/doc/source/ray-core/scheduling/accelerators.rst @@ -36,6 +36,9 @@ The accelerators natively supported by Ray Core are: * - Huawei Ascend - NPU - Experimental, supported by the community + * - Rebellions RBLN + - RBLN + - Experimental, supported by the community Starting Ray nodes with accelerators ------------------------------------ @@ -117,6 +120,16 @@ If you need to, you can :ref:`override ` this. For example, ``ASCEND_RT_VISIBLE_DEVICES=1,3 ray start --head --resources='{"NPU": 2}'`` lets Ray only see devices 1 and 3. + .. tab-item:: Rebellions RBLN + :sync: Rebellions RBLN + + .. tip:: + + You can set the ``RBLN_DEVICES`` environment variable before starting a Ray node + to limit the Rebellions RBLNs that are visible to Ray. + For example, ``RBLN_DEVICES=1,3 ray start --head --resources='{"RBLN": 2}'`` + lets Ray only see devices 1 and 3. + .. note:: There's nothing preventing you from specifying a larger number of @@ -405,6 +418,45 @@ and assign accelerators to the task or actor by setting the corresponding enviro (npu_task pid=51830) NPU IDs: [1] (npu_task pid=51830) ASCEND_RT_VISIBLE_DEVICES: 1 + .. tab-item:: Rebellions RBLN + :sync: Rebellions RBLN + + .. testcode:: + :hide: + + ray.shutdown() + + .. testcode:: + + import os + import ray + + ray.init(resources={"RBLN": 2}) + + @ray.remote(resources={"RBLN": 1}) + class RBLNActor: + def ping(self): + print("RBLN IDs: {}".format(ray.get_runtime_context().get_accelerator_ids()["RBLN"])) + print("RBLN_DEVICES: {}".format(os.environ["RBLN_DEVICES"])) + + @ray.remote(resources={"RBLN": 1}) + def rbln_task(): + print("RBLN IDs: {}".format(ray.get_runtime_context().get_accelerator_ids()["RBLN"])) + print("RBLN_DEVICES: {}".format(os.environ["RBLN_DEVICES"])) + + rbln_actor = RBLNActor.remote() + ray.get(rbln_actor.ping.remote()) + # The actor uses the first RBLN so the task uses the second one. + ray.get(rbln_task.remote()) + + .. testoutput:: + :options: +MOCK + + (RBLNActor pid=52420) RBLN IDs: [0] + (RBLNActor pid=52420) RBLN_DEVICES: 0 + (rbln_task pid=51830) RBLN IDs: [1] + (rbln_task pid=51830) RBLN_DEVICES: 1 + Inside a task or actor, :func:`ray.get_runtime_context().get_accelerator_ids() ` returns a list of accelerator IDs that are available to the task or actor. @@ -549,6 +601,11 @@ so multiple tasks and actors can share the same accelerator. # and share the same NPU. ray.get([f.remote() for _ in range(4)]) + .. tab-item:: Rebellions RBLN + :sync: Rebellions RBLN + + Rebellions RBLN doesn't support fractional resources. + **Note:** It is the user's responsibility to make sure that the individual tasks don't use more than their share of the accelerator memory. diff --git a/python/ray/_private/accelerators/__init__.py b/python/ray/_private/accelerators/__init__.py index e76e38eb0072..003074ad71fb 100644 --- a/python/ray/_private/accelerators/__init__.py +++ b/python/ray/_private/accelerators/__init__.py @@ -7,6 +7,7 @@ from ray._private.accelerators.neuron import NeuronAcceleratorManager from ray._private.accelerators.npu import NPUAcceleratorManager from ray._private.accelerators.nvidia_gpu import NvidiaGPUAcceleratorManager +from ray._private.accelerators.rbln import RBLNAcceleratorManager from ray._private.accelerators.tpu import TPUAcceleratorManager @@ -20,6 +21,7 @@ def get_all_accelerator_managers() -> Set[AcceleratorManager]: NeuronAcceleratorManager, HPUAcceleratorManager, NPUAcceleratorManager, + RBLNAcceleratorManager, } @@ -71,6 +73,7 @@ def get_accelerator_manager_for_resource( "NeuronAcceleratorManager", "HPUAcceleratorManager", "NPUAcceleratorManager", + "RBLNAcceleratorManager", "get_all_accelerator_managers", "get_all_accelerator_resource_names", "get_accelerator_manager_for_resource", diff --git a/python/ray/_private/accelerators/rbln.py b/python/ray/_private/accelerators/rbln.py new file mode 100644 index 000000000000..ccebd7eedc5f --- /dev/null +++ b/python/ray/_private/accelerators/rbln.py @@ -0,0 +1,78 @@ +import logging +import os +from typing import List, Optional, Tuple + +from ray._private.accelerators.accelerator import AcceleratorManager + +logger = logging.getLogger(__name__) + +RBLN_RT_VISIBLE_DEVICES_ENV_VAR = "RBLN_DEVICES" +NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR = "RAY_EXPERIMENTAL_NOSET_RBLN_RT_VISIBLE_DEVICES" + + +class RBLNAcceleratorManager(AcceleratorManager): + """Rebellions RBLN accelerators.""" + + @staticmethod + def get_resource_name() -> str: + return "RBLN" + + @staticmethod + def get_visible_accelerator_ids_env_var() -> str: + return RBLN_RT_VISIBLE_DEVICES_ENV_VAR + + @staticmethod + def get_current_process_visible_accelerator_ids() -> Optional[List[str]]: + visible_devices = os.environ.get( + RBLNAcceleratorManager.get_visible_accelerator_ids_env_var() + ) + if visible_devices is None: + return None + if visible_devices == "": + return [] + return visible_devices.split(",") + + @staticmethod + def get_current_node_num_accelerators() -> int: + """Detects the number of RBLN devices on the current machine.""" + try: + from rebel import device_count + + return device_count() + except Exception as e: + logger.debug("Could not detect RBLN devices: %s", e) + return 0 + + @staticmethod + def get_current_node_accelerator_type() -> Optional[str]: + """Gets the type of RBLN NPU on the current node.""" + try: + from rebel import get_npu_name + + return get_npu_name() + except Exception as e: + logger.exception("Failed to detect RBLN NPU type: %s", e) + return None + + @staticmethod + def validate_resource_request_quantity( + quantity: float, + ) -> Tuple[bool, Optional[str]]: + if isinstance(quantity, float) and not quantity.is_integer(): + return ( + False, + f"{RBLNAcceleratorManager.get_resource_name()} resource quantity" + " must be whole numbers. " + f"The specified quantity {quantity} is invalid.", + ) + else: + return (True, None) + + @staticmethod + def set_current_process_visible_accelerator_ids( + visible_rbln_devices: List[str], + ) -> None: + if not os.getenv(NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR): + os.environ[ + RBLNAcceleratorManager.get_visible_accelerator_ids_env_var() + ] = ",".join(map(str, visible_rbln_devices)) diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 584a331ee6b0..efff661aaaeb 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -500,6 +500,7 @@ py_test_module_list( "accelerators/test_intel_gpu.py", "accelerators/test_npu.py", "accelerators/test_nvidia_gpu.py", + "accelerators/test_rbln.py", "accelerators/test_tpu.py", "test_actor_lineage_reconstruction.py", "test_actor_out_of_order.py", diff --git a/python/ray/tests/accelerators/mock_rebel.py b/python/ray/tests/accelerators/mock_rebel.py new file mode 100644 index 000000000000..d8896c3b3dda --- /dev/null +++ b/python/ray/tests/accelerators/mock_rebel.py @@ -0,0 +1,6 @@ +def device_count(): + return 4 + + +def get_npu_name(): + return "RBLN-CA02" diff --git a/python/ray/tests/accelerators/test_rbln.py b/python/ray/tests/accelerators/test_rbln.py new file mode 100644 index 000000000000..fa98927c346f --- /dev/null +++ b/python/ray/tests/accelerators/test_rbln.py @@ -0,0 +1,81 @@ +import pytest +import os +import sys + +from ray._private.accelerators.rbln import ( + RBLNAcceleratorManager, + RBLN_RT_VISIBLE_DEVICES_ENV_VAR, + NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR, +) + + +@pytest.fixture(autouse=True) +def mock_rebel_module(monkeypatch): + from ray.tests.accelerators import mock_rebel + + monkeypatch.setitem(sys.modules, "rebel", mock_rebel) + + +@pytest.fixture +def clear_rbln_environment(): + original_env = os.environ.get(RBLN_RT_VISIBLE_DEVICES_ENV_VAR) + original_no_set_env = os.environ.get(NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR) + + os.environ.pop(RBLN_RT_VISIBLE_DEVICES_ENV_VAR, None) + os.environ.pop(NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR, None) + + yield + + if original_env is not None: + os.environ[RBLN_RT_VISIBLE_DEVICES_ENV_VAR] = original_env + if original_no_set_env is not None: + os.environ[NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR] = original_no_set_env + + +@pytest.mark.usefixtures("clear_rbln_environment") +class TestRBLNAcceleratorManager: + def test_get_resource_name(self): + assert RBLNAcceleratorManager.get_resource_name() == "RBLN" + + def test_get_visible_accelerator_ids_env_var(self): + assert ( + RBLNAcceleratorManager.get_visible_accelerator_ids_env_var() + == RBLN_RT_VISIBLE_DEVICES_ENV_VAR + ) + + def test_get_current_process_visible_accelerator_ids(self): + os.environ[RBLN_RT_VISIBLE_DEVICES_ENV_VAR] = "0,1,2,3" + assert RBLNAcceleratorManager.get_current_process_visible_accelerator_ids() == [ + "0", + "1", + "2", + "3", + ] + + os.environ[RBLN_RT_VISIBLE_DEVICES_ENV_VAR] = "" + assert ( + RBLNAcceleratorManager.get_current_process_visible_accelerator_ids() == [] + ) + + os.environ.pop(RBLN_RT_VISIBLE_DEVICES_ENV_VAR) + assert ( + RBLNAcceleratorManager.get_current_process_visible_accelerator_ids() is None + ) + + def test_get_current_node_num_accelerators(self): + assert RBLNAcceleratorManager.get_current_node_num_accelerators() == 4 + + def test_get_current_node_accelerator_type(self): + assert RBLNAcceleratorManager.get_current_node_accelerator_type() == "RBLN-CA02" + + def test_set_current_process_visible_accelerator_ids(self): + RBLNAcceleratorManager.set_current_process_visible_accelerator_ids(["0", "1"]) + assert os.environ[RBLN_RT_VISIBLE_DEVICES_ENV_VAR] == "0,1" + + os.environ[NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR] = "1" + RBLNAcceleratorManager.set_current_process_visible_accelerator_ids(["2", "3"]) + assert os.environ[RBLN_RT_VISIBLE_DEVICES_ENV_VAR] == "0,1" + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index b0e65a3f354d..5aa0e3ef306e 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -751,7 +751,7 @@ RAY_CONFIG(std::string, predefined_unit_instance_resources, "GPU") /// "neuron_cores", "TPUs" and "FPGAs". /// Default custom_unit_instance_resources is "neuron_cores,TPU". /// When set it to "neuron_cores,TPU,FPGA", we will also treat FPGA as unit_instance. -RAY_CONFIG(std::string, custom_unit_instance_resources, "neuron_cores,TPU,NPU,HPU") +RAY_CONFIG(std::string, custom_unit_instance_resources, "neuron_cores,TPU,NPU,HPU,RBLN") /// The name of the system-created concurrency group for actors. This group is /// created with 1 thread, and is created lazily. The intended usage is for From 923d43f999ea18dbf5472b967e5fc9359a3225df Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 7 Aug 2025 10:23:54 -0500 Subject: [PATCH 0544/1566] [core] Skip `test_worker_thread_count` on Windows (#55360) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_basic.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index d519af6e7f60..e0db4833575c 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -233,6 +233,7 @@ def f(): ray.get(f.remote()) +@pytest.mark.skipif(sys.platform == "win32", reason="Windows thread count not policed.") def test_worker_thread_count(monkeypatch, shutdown_only): """This test will fail if the number of threads spawned by a worker process increases. If you find that a patch is now causing this test to fail, From 4bda30bde205a18ccf74f981708366606d19b913 Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Thu, 7 Aug 2025 10:10:25 -0700 Subject: [PATCH 0545/1566] Upgrade ml_user_tests to use g6.12xlarge (#55261) 1. Previously we change to g4dn machine which has a similar memory as g3 machines but is a newer generation in https://github.com/ray-project/ray/pull/55107. 2. Since g3.8xlarge machine has 2 GPU per node, hence the g4.8xlarge won't fit, this is to use g6.12xlarge, each has 4 GPUs but relatively cheaper compared with A10G. 3. Running release tests in https://buildkite.com/ray-project/release/builds/51805# Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/ml_user_tests/horovod/compute_tpl_aws.yaml | 2 +- release/ml_user_tests/train/compute_tpl_aws.yaml | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/release/ml_user_tests/horovod/compute_tpl_aws.yaml b/release/ml_user_tests/horovod/compute_tpl_aws.yaml index 61999ce38e8c..9e9171957f91 100644 --- a/release/ml_user_tests/horovod/compute_tpl_aws.yaml +++ b/release/ml_user_tests/horovod/compute_tpl_aws.yaml @@ -9,7 +9,7 @@ head_node_type: worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g6.12xlarge max_workers: 3 min_workers: 3 use_spot: false diff --git a/release/ml_user_tests/train/compute_tpl_aws.yaml b/release/ml_user_tests/train/compute_tpl_aws.yaml index ad9beedcc2fc..03074b0b6a89 100644 --- a/release/ml_user_tests/train/compute_tpl_aws.yaml +++ b/release/ml_user_tests/train/compute_tpl_aws.yaml @@ -5,11 +5,11 @@ max_workers: 2 head_node_type: name: head_node - instance_type: g4dn.8xlarge + instance_type: g6.12xlarge worker_node_types: - name: worker_node - instance_type: g4dn.8xlarge + instance_type: g6.12xlarge min_workers: 2 max_workers: 2 use_spot: false From 287bccdc77d312fe00a9fe9fe95470c24b806b23 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 7 Aug 2025 11:15:31 -0700 Subject: [PATCH 0546/1566] [depset] split workspace into its own py library (#55371) so that it can be unit tested Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/raydepsets/.env | 0 ci/raydepsets/BUILD.bazel | 10 +++++++++- 2 files changed, 9 insertions(+), 1 deletion(-) delete mode 100644 ci/raydepsets/.env diff --git a/ci/raydepsets/.env b/ci/raydepsets/.env deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 824fa78d39ca..5e4a80e9fa25 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -1,14 +1,22 @@ load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") load("@rules_python//python:defs.bzl", "py_binary", "py_library", "py_test") +py_library( + name = "workspace", + srcs = ["workspace.py"], + deps = [ + ci_require("pyyaml"), + ], +) + py_library( name = "raydepsets_lib", srcs = [ "cli.py", - "workspace.py", ], data = ["@uv_x86_64//:file"], deps = [ + ":workspace", ci_require("bazel-runfiles"), ci_require("click"), ci_require("pyyaml"), From de6b0c7179591502bee10b7df7ca649bac0bfc46 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 7 Aug 2025 11:30:01 -0700 Subject: [PATCH 0547/1566] Revert "[wheel] use minimal remote download" (#55373) Reverts ray-project/ray#55116 seems to trigger a lot of remote cache misses. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/setup.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/setup.py b/python/setup.py index 0e115c8dddf0..7044291c4edd 100644 --- a/python/setup.py +++ b/python/setup.py @@ -630,7 +630,6 @@ def build(build_python, build_java, build_cpp): # And we put it here so that does not change behavior of # conda-forge build. bazel_flags.append("--incompatible_strict_action_env") - bazel_flags.append("--remote_download_minimal") bazel_targets = [] bazel_targets += ["//:gen_ray_pkg"] if build_python else [] From 1fd8b972cd3c7405ef0434bf17471e84cad940ee Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 7 Aug 2025 11:38:49 -0700 Subject: [PATCH 0548/1566] [data] Remove randomize blocks reorder rule (#55278) Remove the `ReorderRandomizeBlocksRule` due to correctness issues and maintenance burden. This rule previously did 2 things: (1) dedupes multiple `randomize_block_order` calls, and (2) pushes the `RandomizeBlocks` operator as far back as possible. This optimizer rule needs to interact with all logical operators properly and adds more complexity than is worth, since there's already easy workarounds that the user can apply: * A user should not randomize blocks multiple times unless done intentionally. * A user should put their randomize blocks operation at the end of a 1:1 map chains. Context: https://github.com/ray-project/ray/issues/26057#issuecomment-1165750396 --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../ray/data/_internal/logical/optimizers.py | 2 - .../data/_internal/logical/rules/__init__.py | 3 +- .../logical/rules/randomize_blocks.py | 77 ---------- python/ray/data/tests/test_operator_fusion.py | 3 - python/ray/data/tests/test_optimize.py | 31 ++-- .../data/tests/test_randomize_block_order.py | 139 +----------------- 6 files changed, 16 insertions(+), 239 deletions(-) delete mode 100644 python/ray/data/_internal/logical/rules/randomize_blocks.py diff --git a/python/ray/data/_internal/logical/optimizers.py b/python/ray/data/_internal/logical/optimizers.py index 8c63ccf97b22..54afc9dd93f2 100644 --- a/python/ray/data/_internal/logical/optimizers.py +++ b/python/ray/data/_internal/logical/optimizers.py @@ -16,7 +16,6 @@ ) from ray.data._internal.logical.rules.limit_pushdown import LimitPushdownRule from ray.data._internal.logical.rules.operator_fusion import FuseOperators -from ray.data._internal.logical.rules.randomize_blocks import ReorderRandomizeBlocksRule from ray.data._internal.logical.rules.set_read_parallelism import SetReadParallelismRule from ray.data._internal.logical.rules.zero_copy_map_fusion import ( EliminateBuildOutputBlocks, @@ -25,7 +24,6 @@ _LOGICAL_RULESET = Ruleset( [ - ReorderRandomizeBlocksRule, InheritBatchFormatRule, LimitPushdownRule, ] diff --git a/python/ray/data/_internal/logical/rules/__init__.py b/python/ray/data/_internal/logical/rules/__init__.py index 50de39ca386d..4994268c0736 100644 --- a/python/ray/data/_internal/logical/rules/__init__.py +++ b/python/ray/data/_internal/logical/rules/__init__.py @@ -1,4 +1,3 @@ from ray.data._internal.logical.rules.operator_fusion import FuseOperators -from ray.data._internal.logical.rules.randomize_blocks import ReorderRandomizeBlocksRule -__all__ = ["ReorderRandomizeBlocksRule", "FuseOperators"] +__all__ = ["FuseOperators"] diff --git a/python/ray/data/_internal/logical/rules/randomize_blocks.py b/python/ray/data/_internal/logical/rules/randomize_blocks.py deleted file mode 100644 index 8810217258ab..000000000000 --- a/python/ray/data/_internal/logical/rules/randomize_blocks.py +++ /dev/null @@ -1,77 +0,0 @@ -import copy -from collections import deque - -from ray.data._internal.logical.interfaces import LogicalOperator, LogicalPlan, Rule -from ray.data._internal.logical.operators.all_to_all_operator import ( - AbstractAllToAll, - RandomizeBlocks, -) - - -class ReorderRandomizeBlocksRule(Rule): - """Rule for reordering RandomizeBlocks logical operator. - - Reordering RandomizeBlocks operators is to help fuse multiple - AbstractUDFMap operators together for better performance. - - 1. Dedupes multiple RandomizeBlocks operators if they are not seeded. - 2. Moves RandomizeBlocks operator to the end of a sequence of AbstractUDFMap - operators. RandomizeBlocks operators are not moved across AbstractAllToAll operator - boundaries. - """ - - def apply(self, plan: LogicalPlan) -> LogicalPlan: - optimized_dag: LogicalOperator = self._apply(plan.dag) - new_plan = LogicalPlan(dag=optimized_dag, context=plan.context) - return new_plan - - def _apply(self, op: LogicalOperator) -> LogicalOperator: - operators = [] - - # Post-order traversal. - nodes = deque() - for node in op.post_order_iter(): - nodes.appendleft(node) - - while len(nodes) > 0: - current_op = nodes.pop() - upstream_ops = current_op.input_dependencies - - # Iterate through all upstream ops, and remove all RandomizeBlocks - # operators. - for i in range(len(upstream_ops)): - if isinstance(upstream_ops[i], RandomizeBlocks): - # If no seeds are provided, then collapse into a single - # RandomizeBlocks operator. - current_seed = upstream_ops[i]._seed - if not operators or current_seed or operators[-1]._seed: - # We need to make a copy of the operator. - # Because the operator instance may be shared by multiple - # Datasets. We shouldn't modify it in place. - operators.append(copy.copy(upstream_ops[i])) - - # Remove RandomizeBlocks operator from the dag and wire in new input - # dependencies. - assert len(upstream_ops[i].input_dependencies) == 1 - upstream_ops[i] = upstream_ops[i].input_dependencies[0] - if isinstance(current_op, AbstractAllToAll) and not isinstance( - current_op, RandomizeBlocks - ): - # If this operator is a an AllToAll Operator, then insert - # RandomizeBlocks right before this operator rather than the end of the - # DAG. - # All-to-all operators can have only 1 input operator. - assert len(upstream_ops) == 1 - input_op = upstream_ops[0] - for random_op in operators: - random_op._input_dependencies = [input_op] - input_op = random_op - upstream_ops[0] = input_op - operators = [] - - # Add RandomizeBlocks operator as the last operator in the DAG if necessary. - for random_op in operators: - random_op._input_dependencies = [op] - op = random_op - - return op diff --git a/python/ray/data/tests/test_operator_fusion.py b/python/ray/data/tests/test_operator_fusion.py index 389ea3990fea..224eebf041e2 100644 --- a/python/ray/data/tests/test_operator_fusion.py +++ b/python/ray/data/tests/test_operator_fusion.py @@ -438,9 +438,6 @@ def test_read_map_batches_operator_fusion_with_randomize_blocks_operator( ): # Note: We currently do not fuse MapBatches->RandomizeBlocks. # This test is to ensure that we don't accidentally fuse them. - # There is also an additional optimization rule, under ReorderRandomizeBlocksRule, - # which collapses RandomizeBlocks operators, so we should not be fusing them - # to begin with. def fn(batch): return {"id": [x + 1 for x in batch["id"]]} diff --git a/python/ray/data/tests/test_optimize.py b/python/ray/data/tests/test_optimize.py index 8f362179ecf4..84da3b4eeb58 100644 --- a/python/ray/data/tests/test_optimize.py +++ b/python/ray/data/tests/test_optimize.py @@ -213,13 +213,23 @@ def test_spread_hint_inherit(ray_start_regular_shared): assert read_op._ray_remote_args == {"scheduling_strategy": "SPREAD"} -def test_optimize_reorder(ray_start_regular_shared): - ds = ray.data.range(10).randomize_block_order().map_batches(dummy_map).materialize() - print("Stats", ds.stats()) +def test_optimize_randomize_block_order(ray_start_regular_shared): + """Test that randomize_block_order is not fused with other operators.""" + ds = ( + ray.data.range(10) + .map_batches(dummy_map) + .randomize_block_order() + .map_batches(dummy_map) + .materialize() + ) expect_stages( ds, 2, - ["ReadRange->MapBatches(dummy_map)", "RandomizeBlockOrder"], + [ + "ReadRange->MapBatches(dummy_map)", + "RandomizeBlockOrder", + "MapBatches(dummy_map)", + ], ) ds2 = ( @@ -256,19 +266,6 @@ def test_write_fusion(ray_start_regular_shared, tmp_path): assert "MapBatches()->Write" in stats, stats -def test_write_doesnt_reorder_randomize_block(ray_start_regular_shared, tmp_path): - path = os.path.join(tmp_path, "out") - ds = ray.data.range(100).randomize_block_order().map_batches(lambda x: x) - ds.write_csv(path) - stats = ds._write_ds.stats() - - # The randomize_block_order will switch order with the following map_batches, - # but not the tailing write operator. - assert "ReadRange->MapBatches()" in stats, stats - assert "RandomizeBlockOrder" in stats, stats - assert "Write" in stats, stats - - @pytest.mark.skip(reason="reusing base data not enabled") @pytest.mark.parametrize("with_shuffle", [True, False]) def test_optimize_lazy_reuse_base_data( diff --git a/python/ray/data/tests/test_randomize_block_order.py b/python/ray/data/tests/test_randomize_block_order.py index ef099af92503..5b2ad6ae1029 100644 --- a/python/ray/data/tests/test_randomize_block_order.py +++ b/python/ray/data/tests/test_randomize_block_order.py @@ -1,23 +1,14 @@ import pytest -import ray from ray.data._internal.execution.operators.base_physical_operator import ( AllToAllOperator, ) from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.logical.interfaces import LogicalPlan -from ray.data._internal.logical.operators.all_to_all_operator import ( - RandomizeBlocks, - Repartition, -) -from ray.data._internal.logical.operators.map_operator import AbstractUDFMap, MapBatches -from ray.data._internal.logical.operators.read_operator import Read -from ray.data._internal.logical.optimizers import LogicalOptimizer -from ray.data._internal.logical.rules.randomize_blocks import ReorderRandomizeBlocksRule +from ray.data._internal.logical.operators.all_to_all_operator import RandomizeBlocks from ray.data._internal.planner import create_planner from ray.data.context import DataContext from ray.data.tests.test_util import get_parquet_read_logical_op -from ray.data.tests.util import extract_values def test_randomize_blocks_operator(ray_start_regular_shared): @@ -38,134 +29,6 @@ def test_randomize_blocks_operator(ray_start_regular_shared): assert isinstance(physical_op.input_dependencies[0], MapOperator) -def test_randomize_block_order_rule(): - ctx = DataContext.get_current() - - read = get_parquet_read_logical_op() - operator1 = RandomizeBlocks(input_op=read, seed=None) - operator2 = RandomizeBlocks(input_op=operator1, seed=None) - operator3 = MapBatches(input_op=operator2, fn=lambda x: x) - original_plan = LogicalPlan(dag=operator3, context=ctx) - - rule = ReorderRandomizeBlocksRule() - optimized_plan = rule.apply(original_plan) - - # Check that RandomizeBlocks is the last operator in the DAG. - assert isinstance(optimized_plan.dag, RandomizeBlocks) - # Check that the seed is maintained. - assert optimized_plan.dag._seed is None - - # Check that multiple RandomizeBlocks operators are deduped. - operator_count = 0 - for _ in optimized_plan.dag.post_order_iter(): - operator_count += 1 - - assert operator_count == 3 - - -def test_randomize_block_order_rule_seed(): - ctx = DataContext.get_current() - - read = get_parquet_read_logical_op() - operator1 = RandomizeBlocks(input_op=read, seed=None) - operator2 = RandomizeBlocks(input_op=operator1, seed=2) - operator3 = MapBatches(input_op=operator2, fn=lambda x: x) - original_plan = LogicalPlan(dag=operator3, context=ctx) - - rule = ReorderRandomizeBlocksRule() - optimized_plan = rule.apply(original_plan) - - # Check that RandomizeBlocks is the last operator in the DAG. - assert isinstance(optimized_plan.dag, RandomizeBlocks) - # Check that the seed is maintained. - assert optimized_plan.dag._seed == 2 - - # Check that the two RandomizeBlocks operators are not collapsed since seeds are - # provided. - assert isinstance(optimized_plan.dag.input_dependencies[0], RandomizeBlocks) - assert optimized_plan.dag.input_dependencies[0]._seed is None - operator_count = 0 - for _ in optimized_plan.dag.post_order_iter(): - operator_count += 1 - - # RandomizeBlocks operators should not be deduped. - assert operator_count == 4 - - -def test_randomize_block_order_after_repartition(): - ctx = DataContext.get_current() - - read = get_parquet_read_logical_op() - operator1 = RandomizeBlocks(input_op=read) - operator2 = Repartition(input_op=operator1, num_outputs=1, shuffle=False) - operator3 = RandomizeBlocks(input_op=operator2) - operator4 = RandomizeBlocks(input_op=operator3) - operator5 = MapBatches(input_op=operator4, fn=lambda x: x) - operator6 = Repartition(input_op=operator5, num_outputs=1, shuffle=False) - original_plan = LogicalPlan(dag=operator6, context=ctx) - - rule = ReorderRandomizeBlocksRule() - optimized_plan = rule.apply(original_plan) - - assert isinstance(optimized_plan.dag, Repartition) - assert isinstance(optimized_plan.dag.input_dependencies[0], RandomizeBlocks) - - # Check that multiple RandomizeBlocks operators are deduped within repartition - # boundaries. - operator_count = 0 - for _ in optimized_plan.dag.post_order_iter(): - operator_count += 1 - - # Read -> RandomizeBlocks -> Repartition -> MapBatches -> RandomizeBlocks -> - # Repartition - assert operator_count == 6 - - -def test_randomize_blocks_e2e(ray_start_regular_shared): - ds = ray.data.range(12, override_num_blocks=4) - ds = ds.randomize_block_order(seed=0) - assert extract_values("id", ds.take_all()) == [ - 6, - 7, - 8, - 0, - 1, - 2, - 3, - 4, - 5, - 9, - 10, - 11, - ], ds - - -def test_randomize_blocks_rule_e2e(ray_start_regular_shared): - def dummy_map(x): - return x - - ds = ray.data.range(10).randomize_block_order().map_batches(dummy_map) - plan = ds._logical_plan - optimized_plan = LogicalOptimizer().optimize(plan) - - inverse_order = iter([Read, AbstractUDFMap, RandomizeBlocks]) - for node in optimized_plan.dag.post_order_iter(): - assert isinstance(node, next(inverse_order)) - - ds = ( - ray.data.range(10) - .randomize_block_order() - .repartition(10) - .map_batches(dummy_map) - ) - plan = ds._logical_plan - optimized_plan = LogicalOptimizer().optimize(plan) - - inverse_order = iter([Read, RandomizeBlocks, Repartition, AbstractUDFMap]) - for node in optimized_plan.dag.post_order_iter(): - assert isinstance(node, next(inverse_order)) - - if __name__ == "__main__": import sys From 82d9ff53f8a3905b037feb43d277823c8b5cf902 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 7 Aug 2025 11:55:26 -0700 Subject: [PATCH 0549/1566] [Data] - Show debug log for when aggregators are ready once. (#54483) ## Why are these changes needed? Reduce the logger noise for hash shuffle aggregators especially when they are healthy. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- .../execution/operators/hash_shuffle.py | 164 ++++++++---------- .../issue_detection/detectors/__init__.py | 4 + .../detectors/hash_shuffle_detector.py | 110 ++++++++++++ 3 files changed, 186 insertions(+), 92 deletions(-) create mode 100644 python/ray/data/_internal/issue_detection/detectors/hash_shuffle_detector.py diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 4dd82a642f40..50cb0136228e 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -509,6 +509,10 @@ def __init__( int, Dict[int, _PartitionStats] ] = defaultdict(dict) + self._health_monitoring_started: bool = False + self._health_monitoring_start_time: float = 0.0 + self._pending_aggregators_refs: Optional[List[ObjectRef[ActorHandle]]] = None + def start(self, options: ExecutionOptions) -> None: super().start(options) @@ -1096,6 +1100,18 @@ def _estimate_aggregator_memory_allocation( return aggregator_total_memory_required +@dataclass +class AggregatorHealthInfo: + """Health information about aggregators for issue detection.""" + + started_at: float + ready_aggregators: int + total_aggregators: int + has_unready_aggregators: bool + wait_time: float + required_resources: ExecutionResources + + class AggregatorPool: def __init__( self, @@ -1118,7 +1134,7 @@ def __init__( num_partitions=num_partitions, ) - self._aggregators: List[ray.ActorHandle] = [] + self._aggregators: List[ray.actor.ActorHandle] = [] self._aggregation_factory_ref: ObjectRef[ StatefulShuffleAggregationFactory @@ -1131,21 +1147,7 @@ def __init__( self._aggregator_partition_map, ) - # Resource monitoring state - self._started_at: Optional[float] = None - - # Add last warning timestamp for health checks - self._last_health_warning_time: Optional[float] = None - self._health_warning_interval_s: float = ( - self._data_context.hash_shuffle_aggregator_health_warning_interval_s - ) - # Track readiness refs for non-blocking health checks - self._pending_aggregators_refs: Optional[List[ObjectRef]] = None - def start(self): - # Record start time for monitoring - self._started_at = time.time() - # Check cluster resources before starting aggregators self._check_cluster_resources() @@ -1160,6 +1162,9 @@ def start(self): self._aggregators.append(aggregator) + # Start issue detector actor + self.start_health_monitoring() + def _check_cluster_resources(self) -> None: """Check if cluster has enough resources to schedule all aggregators. Raises: @@ -1225,82 +1230,6 @@ def _check_cluster_resources(self) -> None: f"required memory={required_memory / GiB:.2f} GiB, available memory={available_memory / GiB:.2f} GiB" ) - def _check_aggregator_health(self) -> None: - """Check if all aggregators are up and running after a timeout period. - Uses non-blocking ray.wait to check actor readiness. - Will warn every 10 seconds (configurable via `DataContext.hash_shuffle_aggregator_health_warning_interval_s`) if aggregators remain unhealthy. - """ - min_wait_time = self._data_context.min_hash_shuffle_aggregator_wait_time_in_s - if self._started_at is None or time.time() - self._started_at < min_wait_time: - return - - try: - # Initialize readiness refs the first time. - if self._pending_aggregators_refs is None: - self._pending_aggregators_refs = [ - aggregator.__ray_ready__.remote() - for aggregator in self._aggregators - ] - - if len(self._pending_aggregators_refs) == 0: - self._last_health_warning_time = None - logger.debug( - f"All {self._num_aggregators} hash shuffle aggregators " - f"are now healthy" - ) - return - - # Use ray.wait to check readiness in non-blocking fashion - _, unready_refs = ray.wait( - self._pending_aggregators_refs, - num_returns=len(self._pending_aggregators_refs), - timeout=0, # Short timeout to avoid blocking - ) - - # Update readiness refs to only track the unready ones - self._pending_aggregators_refs = unready_refs - - current_time = time.time() - should_warn = unready_refs and ( # If any refs are not ready - self._last_health_warning_time is None - or current_time - self._last_health_warning_time - >= self._health_warning_interval_s - ) - - if should_warn: - # Get cluster resource information for better diagnostics - available_resources = ray.available_resources() - available_cpus = available_resources.get("CPU", 0) - cluster_resources = ray.cluster_resources() - total_memory = cluster_resources.get("memory", 0) - available_memory = available_resources.get("memory", 0) - - required_cpus = ( - self._aggregator_ray_remote_args.get("num_cpus", 1) - * self._num_aggregators - ) - - ready_aggregators = self._num_aggregators - len(unready_refs) - - logger.warning( - f"Only {ready_aggregators} out of {self._num_aggregators} hash-shuffle aggregators are ready after {min_wait_time:.1f} secs. " - f"This might indicate resource contention for cluster resources (available CPUs: {available_cpus}, required CPUs: {required_cpus}). " - f"Cluster only has {available_memory / GiB:.2f} GiB available memory, {total_memory / GiB:.2f} GiB total memory. " - f"Consider increasing cluster size or reducing the number of aggregators via `DataContext.max_hash_shuffle_aggregators`. " - f"Will continue checking every {self._health_warning_interval_s}s." - ) - self._last_health_warning_time = current_time - elif not unready_refs and self._last_health_warning_time is not None: - # All aggregators are ready - self._last_health_warning_time = None - logger.debug( - f"All {self._num_aggregators} hash shuffle aggregators " - f"are now healthy" - ) - - except Exception as e: - logger.warning(f"Failed to check aggregator health: {e}") - @property def num_partitions(self): return self._num_partitions @@ -1310,7 +1239,6 @@ def num_aggregators(self): return self._num_aggregators def get_aggregator_for_partition(self, partition_id: int) -> ActorHandle: - self._check_aggregator_health() return self._aggregators[self._get_aggregator_id_for_partition(partition_id)] def _allocate_partitions(self, *, num_partitions: int): @@ -1361,6 +1289,7 @@ def _derive_final_shuffle_aggregator_ray_remote_args( return finalized_remote_args def shutdown(self, force: bool): + # Shutdown aggregators if force: for actor in self._aggregators: # NOTE: Actors can't be brought back after being ``ray.kill``-ed, @@ -1369,6 +1298,57 @@ def shutdown(self, force: bool): self._aggregators.clear() + def check_aggregator_health(self) -> Optional[AggregatorHealthInfo]: + """Get health information about aggregators for issue detection. + + Returns: + AggregatorHealthInfo with health info or None if monitoring hasn't started. + """ + if not self._health_monitoring_started: + return None + + if self._pending_aggregators_refs is None: + # Initialize readiness refs + self._pending_aggregators_refs = [ + aggregator.__ray_ready__.remote() for aggregator in self._aggregators + ] + + # Use ray.wait to check readiness in non-blocking fashion + _, unready_refs = ray.wait( + self._pending_aggregators_refs, + num_returns=len(self._pending_aggregators_refs), + timeout=0, # Non-blocking + ) + + # Update readiness refs to only track the unready ones + self._pending_aggregators_refs = unready_refs + + current_time = time.time() + ready_aggregators = self._num_aggregators - len(unready_refs) + required_cpus = ( + self._aggregator_ray_remote_args.get("num_cpus", 1) * self._num_aggregators + ) + required_memory = ( + self._aggregator_ray_remote_args.get("memory", 0) * self._num_aggregators + ) + + return AggregatorHealthInfo( + started_at=self._health_monitoring_start_time, + ready_aggregators=ready_aggregators, + total_aggregators=self._num_aggregators, + has_unready_aggregators=len(unready_refs) > 0, + wait_time=current_time - self._health_monitoring_start_time, + required_resources=ExecutionResources( + cpu=required_cpus, memory=required_memory + ), + ) + + def start_health_monitoring(self): + """Start health monitoring (without separate actor).""" + self._health_monitoring_started = True + self._health_monitoring_start_time = time.time() + self._pending_aggregators_refs = None + @ray.remote class HashShuffleAggregator: diff --git a/python/ray/data/_internal/issue_detection/detectors/__init__.py b/python/ray/data/_internal/issue_detection/detectors/__init__.py index 4663089c8487..0fd93c5ce9d9 100644 --- a/python/ray/data/_internal/issue_detection/detectors/__init__.py +++ b/python/ray/data/_internal/issue_detection/detectors/__init__.py @@ -2,6 +2,9 @@ HangingExecutionIssueDetector, HangingExecutionIssueDetectorConfig, ) +from ray.data._internal.issue_detection.detectors.hash_shuffle_detector import ( + HashShuffleAggregatorIssueDetector, +) from ray.data._internal.issue_detection.detectors.high_memory_detector import ( HighMemoryIssueDetector, HighMemoryIssueDetectorConfig, @@ -12,4 +15,5 @@ "HangingExecutionIssueDetectorConfig", "HighMemoryIssueDetector", "HighMemoryIssueDetectorConfig", + "HashShuffleAggregatorIssueDetector", ] diff --git a/python/ray/data/_internal/issue_detection/detectors/hash_shuffle_detector.py b/python/ray/data/_internal/issue_detection/detectors/hash_shuffle_detector.py new file mode 100644 index 000000000000..345b5983aa38 --- /dev/null +++ b/python/ray/data/_internal/issue_detection/detectors/hash_shuffle_detector.py @@ -0,0 +1,110 @@ +import time +from typing import TYPE_CHECKING, List + +import ray +from ray.data._internal.execution.operators.hash_shuffle import ( + AggregatorHealthInfo, + HashShuffleOperator, +) +from ray.data._internal.issue_detection.issue_detector import ( + Issue, + IssueDetector, + IssueType, +) +from ray.data._internal.util import GiB + +if TYPE_CHECKING: + from ray.data._internal.execution.streaming_executor import StreamingExecutor + from ray.data.context import DataContext + + +class HashShuffleAggregatorIssueDetector(IssueDetector): + """Detector for hash shuffle aggregator health issues.""" + + def __init__(self, executor: "StreamingExecutor", ctx: "DataContext"): + super().__init__(executor, ctx) + self._last_warning_times = {} # Track per-operator warning times + + def detect(self) -> List[Issue]: + issues = [] + current_time = time.time() + + # Find all hash shuffle operators in the topology + for op in self._executor._topology.keys(): + if not isinstance(op, HashShuffleOperator): + continue + + # Skip if operator doesn't have aggregator pool yet + if op._aggregator_pool is None: + continue + + pool = op._aggregator_pool + aggregator_info = pool.check_aggregator_health() + + if aggregator_info is None: + continue + + # Check if we should emit a warning for this operator + should_warn = self._should_emit_warning( + op.id, current_time, aggregator_info + ) + + if should_warn: + message = self._format_health_warning(aggregator_info) + issues.append( + Issue( + dataset_name=self._executor._dataset_id, + operator_id=op.id, + issue_type=IssueType.HANGING, + message=message, + ) + ) + self._last_warning_times[op.id] = current_time + + return issues + + def detection_time_interval_s(self) -> float: + return self._ctx.hash_shuffle_aggregator_health_warning_interval_s + + def _should_emit_warning( + self, op_id: str, current_time: float, info: AggregatorHealthInfo + ) -> bool: + """Check if we should emit a warning for this operator.""" + if not info.has_unready_aggregators: + # Clear warning time if all aggregators are healthy + self._last_warning_times.pop(op_id, None) + return False + + # Check if enough time has passed since start + if ( + current_time - info.started_at + < self._ctx.min_hash_shuffle_aggregator_wait_time_in_s + ): + return False + + # Check if enough time has passed since last warning + last_warning = self._last_warning_times.get(op_id) + if last_warning is None: + return True + + return current_time - last_warning >= self.detection_time_interval_s() + + def _format_health_warning(self, info: AggregatorHealthInfo) -> str: + """Format the health warning message.""" + available_resources = ray.available_resources() + available_cpus = available_resources.get("CPU", 0) + cluster_resources = ray.cluster_resources() + total_memory = cluster_resources.get("memory", 0) + available_memory = available_resources.get("memory", 0) + + return ( + f"Only {info.ready_aggregators} out of {info.total_aggregators} " + f"hash-shuffle aggregators are ready after {info.wait_time:.1f} secs. " + f"This might indicate resource contention for cluster resources " + f"(available CPUs: {available_cpus}, required CPUs: {info.required_resources.cpu}). " + f"Cluster only has {available_memory / GiB:.2f} GiB available memory, required memory: {info.required_resources.memory / GiB:.2f} GiB. " + f"{total_memory / GiB:.2f} GiB total memory. " + f"Consider increasing cluster size or reducing the number of aggregators " + f"via `DataContext.max_hash_shuffle_aggregators`. " + f"Will continue checking every {self.detection_time_interval_s()}s." + ) From 71e97f43aad75c6a13873327678122131225f50a Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 7 Aug 2025 12:38:14 -0700 Subject: [PATCH 0550/1566] [data] Add `StreamingSplit` logical operator to refactor the physical dag rewrite (#54994) The `OutputSplitter` physical operator is currently implemented with a hack that directly appends the operator to the end of the physical plan. This PR adds a `StreamingSplit` logical operator so that the planner is aware of the operator and is in charge of mapping it to the corresponding `OutputSplitter` physical operator. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 3 --- .../data/_internal/execution/legacy_compat.py | 6 ------ .../iterator/stream_split_iterator.py | 20 ++----------------- .../operators/streaming_split_operator.py | 20 +++++++++++++++++++ python/ray/data/_internal/planner/planner.py | 18 +++++++++++++++++ python/ray/data/dataset.py | 14 ++++++++++++- 6 files changed, 53 insertions(+), 28 deletions(-) create mode 100644 python/ray/data/_internal/logical/operators/streaming_split_operator.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index fc1a4a81eccf..99adbd1f2fe2 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1095,9 +1095,6 @@ python/ray/data/_internal/execution/interfaces/task_context.py DOC106: Method `TaskContext.set_current`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `TaskContext.set_current`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints -------------------- -python/ray/data/_internal/execution/legacy_compat.py - DOC107: Function `execute_to_legacy_bundle_iterator`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- python/ray/data/_internal/execution/operators/base_physical_operator.py DOC101: Method `OneToOneOperator.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `OneToOneOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [data_context: DataContext]. diff --git a/python/ray/data/_internal/execution/legacy_compat.py b/python/ray/data/_internal/execution/legacy_compat.py index 3c796c9c19f1..af651c797352 100644 --- a/python/ray/data/_internal/execution/legacy_compat.py +++ b/python/ray/data/_internal/execution/legacy_compat.py @@ -30,16 +30,12 @@ def execute_to_legacy_bundle_iterator( executor: Executor, plan: ExecutionPlan, - dag_rewrite=None, ) -> Iterator[RefBundle]: """Execute a plan with the new executor and return a bundle iterator. Args: executor: The executor to use. plan: The legacy plan to execute. - dag_rewrite: Callback that can be used to mutate the DAG prior to execution. - This is currently used as a legacy hack to inject the OutputSplit operator - for `Dataset.streaming_split()`. Returns: The output as a bundle iterator. @@ -49,8 +45,6 @@ def execute_to_legacy_bundle_iterator( plan, preserve_order=False, ) - if dag_rewrite: - dag = dag_rewrite(dag) bundle_iter = executor.execute(dag, initial_stats=stats) diff --git a/python/ray/data/_internal/iterator/stream_split_iterator.py b/python/ray/data/_internal/iterator/stream_split_iterator.py index 889f7bd4b0da..ab804886a49f 100644 --- a/python/ray/data/_internal/iterator/stream_split_iterator.py +++ b/python/ray/data/_internal/iterator/stream_split_iterator.py @@ -7,7 +7,6 @@ import ray from ray.data._internal.execution.interfaces import NodeIdStr, RefBundle from ray.data._internal.execution.legacy_compat import execute_to_legacy_bundle_iterator -from ray.data._internal.execution.operators.output_splitter import OutputSplitter from ray.data._internal.stats import DatasetStats from ray.data.block import Block from ray.data.context import DataContext @@ -41,7 +40,6 @@ class StreamSplitDataIterator(DataIterator): def create( base_dataset: "Dataset", n: int, - equal: bool, locality_hints: Optional[List[NodeIdStr]], ) -> List["StreamSplitDataIterator"]: """Create a split iterator from the given base Dataset and options. @@ -54,7 +52,7 @@ def create( scheduling_strategy=NodeAffinitySchedulingStrategy( ray.get_runtime_context().get_node_id(), soft=False ), - ).remote(_DatasetWrapper(base_dataset), n, equal, locality_hints) + ).remote(_DatasetWrapper(base_dataset), n, locality_hints) return [ StreamSplitDataIterator(base_dataset, coord_actor, i, n) for i in range(n) @@ -138,7 +136,6 @@ def __init__( self, dataset_wrapper: _DatasetWrapper, n: int, - equal: bool, locality_hints: Optional[List[NodeIdStr]], ): dataset = dataset_wrapper._dataset @@ -150,7 +147,6 @@ def __init__( logger.info(f"Auto configuring locality_with_output={locality_hints}") self._base_dataset = dataset self._n = n - self._equal = equal self._locality_hints = locality_hints self._lock = threading.RLock() self._executor = None @@ -166,20 +162,8 @@ def __init__( def gen_epochs(): while True: self._executor = self._base_dataset._plan.create_executor() - - def add_split_op(dag): - return OutputSplitter( - dag, - n, - equal, - self._data_context, - locality_hints, - ) - output_iterator = execute_to_legacy_bundle_iterator( - self._executor, - dataset._plan, - dag_rewrite=add_split_op, + self._executor, dataset._plan ) yield output_iterator diff --git a/python/ray/data/_internal/logical/operators/streaming_split_operator.py b/python/ray/data/_internal/logical/operators/streaming_split_operator.py new file mode 100644 index 000000000000..aca156395043 --- /dev/null +++ b/python/ray/data/_internal/logical/operators/streaming_split_operator.py @@ -0,0 +1,20 @@ +from typing import List, Optional + +from ray.data import NodeIdStr +from ray.data._internal.logical.interfaces import LogicalOperator + + +class StreamingSplit(LogicalOperator): + """Logical operator that represents splitting the input data to `n` splits.""" + + def __init__( + self, + input_op: LogicalOperator, + num_splits: int, + equal: bool, + locality_hints: Optional[List[NodeIdStr]] = None, + ): + super().__init__("StreamingSplit", [input_op]) + self._num_splits = num_splits + self._equal = equal + self._locality_hints = locality_hints diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index fa8d3b309a34..3b42c4ab7f91 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -9,6 +9,7 @@ ) from ray.data._internal.execution.operators.join import JoinOperator from ray.data._internal.execution.operators.limit_operator import LimitOperator +from ray.data._internal.execution.operators.output_splitter import OutputSplitter from ray.data._internal.execution.operators.union_operator import UnionOperator from ray.data._internal.execution.operators.zip_operator import ZipOperator from ray.data._internal.logical.interfaces import ( @@ -32,6 +33,7 @@ from ray.data._internal.logical.operators.n_ary_operator import Union, Zip from ray.data._internal.logical.operators.one_to_one_operator import Limit from ray.data._internal.logical.operators.read_operator import Read +from ray.data._internal.logical.operators.streaming_split_operator import StreamingSplit from ray.data._internal.logical.operators.write_operator import Write from ray.data._internal.planner.plan_all_to_all_op import plan_all_to_all_op from ray.data._internal.planner.plan_read_op import plan_read_op @@ -117,6 +119,21 @@ def plan_join_op( ) +def plan_streaming_split_op( + logical_op: StreamingSplit, + physical_children: List[PhysicalOperator], + data_context: DataContext, +): + assert len(physical_children) == 1 + return OutputSplitter( + physical_children[0], + n=logical_op._num_splits, + equal=logical_op._equal, + data_context=data_context, + locality_hints=logical_op._locality_hints, + ) + + class Planner: """The planner to convert optimized logical to physical operators. @@ -139,6 +156,7 @@ class Planner: Project: plan_project_op, StreamingRepartition: plan_streaming_repartition_op, Join: plan_join_op, + StreamingSplit: plan_streaming_split_op, } def plan(self, logical_plan: LogicalPlan) -> PhysicalPlan: diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 30404812aea3..c2a3f0184854 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -81,6 +81,7 @@ Zip, ) from ray.data._internal.logical.operators.one_to_one_operator import Limit +from ray.data._internal.logical.operators.streaming_split_operator import StreamingSplit from ray.data._internal.logical.operators.write_operator import Write from ray.data._internal.pandas_block import PandasBlockBuilder, PandasBlockSchema from ray.data._internal.plan import ExecutionPlan @@ -1861,7 +1862,18 @@ def train(it): Unlike :meth:`~Dataset.streaming_split`, :meth:`~Dataset.split` materializes the dataset in memory. """ - return StreamSplitDataIterator.create(self, n, equal, locality_hints) + plan = self._plan.copy() + op = StreamingSplit( + self._logical_plan.dag, + num_splits=n, + equal=equal, + locality_hints=locality_hints, + ) + logical_plan = LogicalPlan(op, self.context) + split_dataset = Dataset(plan, logical_plan) + split_dataset._set_uuid(self._uuid) + + return StreamSplitDataIterator.create(split_dataset, n, locality_hints) @ConsumptionAPI @PublicAPI(api_group=SMJ_API_GROUP) From 7dfb6ce4fa859a6da84dd5c63b82373217195aa2 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 7 Aug 2025 13:07:46 -0700 Subject: [PATCH 0551/1566] use cached contexts for access logs in request path (#55166) ### Performance Comparison Table | Metric | GET / (Before) | GET / (After) | Aggregated (Before) | Aggregated (After) | |--------------------------|----------------|----------------|----------------------|---------------------| | # Requests | 27,390 | 284,097 | 27,390 | 284,097 | | # Fails | 0 | 0 | 0 | 0 | | Median (ms) | 450 | 400 | 450 | 400 | | 95%ile (ms) | 520 | 520 | 520 | 520 | | 99%ile (ms) | 540 | 570 | 540 | 570 | | Average (ms) | 451.13 | 400.84 | 451.13 | 400.84 | | Min (ms) | 226 | 160 | 226 | 160 | | Max (ms) | 728 | 777 | 728 | 777 | | Average size (bytes) | 13 | 13 | 13 | 13 | | Current RPS | 220.5 | 256.8 | 220.5 | 256.8 | | Current Failures/s | 0 | 0 | 0 | 0 | --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/_private/ray_logging/filters.py | 62 ++++++++++++------ python/ray/serve/_private/constants.py | 1 + python/ray/serve/_private/logging_utils.py | 18 ++++- python/ray/serve/_private/proxy.py | 44 ++++++++++++- python/ray/serve/_private/replica.py | 76 +++++++++++++++++----- 5 files changed, 161 insertions(+), 40 deletions(-) diff --git a/python/ray/_private/ray_logging/filters.py b/python/ray/_private/ray_logging/filters.py index d2c5841d34ce..f3c8219b5409 100644 --- a/python/ray/_private/ray_logging/filters.py +++ b/python/ray/_private/ray_logging/filters.py @@ -1,33 +1,55 @@ import logging +from typing import Any, Dict import ray from ray._private.ray_logging.constants import LogKey class CoreContextFilter(logging.Filter): - def filter(self, record): + TASK_LEVEL_LOG_KEYS = [ + LogKey.TASK_ID.value, + LogKey.TASK_NAME.value, + LogKey.TASK_FUNCTION_NAME.value, + ] + + @classmethod + def get_ray_core_logging_context(cls) -> Dict[str, Any]: + """ + Get the ray core logging context as a dict. + Only use this function if you need include the attributes to the log record + yourself by bypassing the filter. + """ if not ray.is_initialized(): # There is no additional context if ray is not initialized - return True + return {} runtime_context = ray.get_runtime_context() - setattr(record, LogKey.JOB_ID.value, runtime_context.get_job_id()) - setattr(record, LogKey.WORKER_ID.value, runtime_context.get_worker_id()) - setattr(record, LogKey.NODE_ID.value, runtime_context.get_node_id()) + ray_core_logging_context = { + LogKey.JOB_ID.value: runtime_context.get_job_id(), + LogKey.WORKER_ID.value: runtime_context.get_worker_id(), + LogKey.NODE_ID.value: runtime_context.get_node_id(), + } if runtime_context.worker.mode == ray.WORKER_MODE: - actor_id = runtime_context.get_actor_id() - if actor_id is not None: - setattr(record, LogKey.ACTOR_ID.value, actor_id) - task_id = runtime_context.get_task_id() - if task_id is not None: - setattr(record, LogKey.TASK_ID.value, task_id) - task_name = runtime_context.get_task_name() - if task_name is not None: - setattr(record, LogKey.TASK_NAME.value, task_name) - task_function_name = runtime_context.get_task_function_name() - if task_function_name is not None: - setattr(record, LogKey.TASK_FUNCTION_NAME.value, task_function_name) - actor_name = runtime_context.get_actor_name() - if actor_name is not None: - setattr(record, LogKey.ACTOR_NAME.value, actor_name) + ray_core_logging_context[ + LogKey.ACTOR_ID.value + ] = runtime_context.get_actor_id() + ray_core_logging_context[ + LogKey.TASK_ID.value + ] = runtime_context.get_task_id() + ray_core_logging_context[ + LogKey.TASK_NAME.value + ] = runtime_context.get_task_name() + ray_core_logging_context[ + LogKey.TASK_FUNCTION_NAME.value + ] = runtime_context.get_task_function_name() + ray_core_logging_context[ + LogKey.ACTOR_NAME.value + ] = runtime_context.get_actor_name() + return ray_core_logging_context + + def filter(self, record): + context = self.get_ray_core_logging_context() + for key, value in context.items(): + if value is not None: + setattr(record, key, value) return True diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index f154c1d57ac7..d2884ff34bf3 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -247,6 +247,7 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: "serve_access_log", "task_id", "job_id", + "skip_context_filter", } RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S = int( diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 85932d909f6f..4688e30e4089 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -34,6 +34,18 @@ buildin_print = builtins.print +def should_skip_context_filter(record: logging.LogRecord) -> bool: + """Check if the log record should skip the context filter.""" + return getattr(record, "skip_context_filter", False) + + +class ServeCoreContextFilter(CoreContextFilter): + def filter(self, record: logging.LogRecord) -> bool: + if should_skip_context_filter(record): + return True + return super().filter(record) + + class ServeComponentFilter(logging.Filter): """Serve component filter. @@ -56,6 +68,8 @@ def filter(self, record: logging.LogRecord) -> bool: Note: the filter doesn't do any filtering, it only adds the component attributes. """ + if should_skip_context_filter(record): + return True if self.component_type and self.component_type == ServeComponentType.REPLICA: setattr(record, SERVE_LOG_DEPLOYMENT, self.component_name) setattr(record, SERVE_LOG_REPLICA, self.component_id) @@ -77,6 +91,8 @@ class ServeContextFilter(logging.Filter): """ def filter(self, record): + if should_skip_context_filter(record): + return True request_context = ray.serve.context._get_serve_request_context() if request_context.route: setattr(record, SERVE_LOG_ROUTE, request_context.route) @@ -359,7 +375,7 @@ def configure_component_logger( "'LoggingConfig' to enable json format." ) if RAY_SERVE_ENABLE_JSON_LOGGING or logging_config.encoding == EncodingType.JSON: - file_handler.addFilter(CoreContextFilter()) + file_handler.addFilter(ServeCoreContextFilter()) file_handler.addFilter(ServeContextFilter()) file_handler.addFilter( ServeComponentFilter(component_name, component_id, component_type) diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 3c198a5b2a3c..c9d65fe4afbf 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -16,6 +16,7 @@ import ray from ray._common.utils import get_or_create_event_loop +from ray._private.ray_logging.filters import CoreContextFilter from ray.serve._private.common import ( DeploymentID, EndpointInfo, @@ -33,6 +34,10 @@ REQUEST_LATENCY_BUCKETS_MS, SERVE_CONTROLLER_NAME, SERVE_HTTP_REQUEST_ID_HEADER, + SERVE_LOG_COMPONENT, + SERVE_LOG_COMPONENT_ID, + SERVE_LOG_REQUEST_ID, + SERVE_LOG_ROUTE, SERVE_LOGGER_NAME, SERVE_MULTIPLEXED_MODEL_ID, SERVE_NAMESPACE, @@ -79,7 +84,7 @@ from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.generated.serve_pb2 import HealthzResponse, ListApplicationsResponse from ray.serve.handle import DeploymentHandle -from ray.serve.schema import LoggingConfig +from ray.serve.schema import EncodingType, LoggingConfig from ray.util import metrics logger = logging.getLogger(SERVE_LOGGER_NAME) @@ -127,6 +132,7 @@ def __init__( is_head: bool, proxy_router: ProxyRouter, request_timeout_s: Optional[float] = None, + access_log_context: Dict[str, Any] = None, ): self.request_timeout_s = request_timeout_s if self.request_timeout_s is not None and self.request_timeout_s < 0: @@ -203,6 +209,8 @@ def __init__( # The node is not draining if it's None. self._draining_start_time: Optional[float] = None + self._access_log_context = access_log_context or {} + getattr(ServeUsageTag, f"{self.protocol.upper()}_PROXY_USED").record("1") @property @@ -437,6 +445,8 @@ async def proxy_request(self, proxy_request: ProxyRequest) -> ResponseGenerator: latency_ms = (time.time() - start_time) * 1000.0 if response_handler_info.should_record_access_log: request_context = ray.serve.context._get_serve_request_context() + self._access_log_context[SERVE_LOG_ROUTE] = request_context.route + self._access_log_context[SERVE_LOG_REQUEST_ID] = request_context.request_id logger.info( access_log_msg( method=proxy_request.method, @@ -444,7 +454,7 @@ async def proxy_request(self, proxy_request: ProxyRequest) -> ResponseGenerator: status=str(status.code), latency_ms=latency_ms, ), - extra={"log_to_stderr": False, "serve_access_log": True}, + extra=self._access_log_context, ) self.request_counter.inc( @@ -704,6 +714,7 @@ def __init__( proxy_router: ProxyRouter, self_actor_name: str, request_timeout_s: Optional[float] = None, + access_log_context: Dict[str, Any] = None, ): super().__init__( node_id, @@ -711,6 +722,7 @@ def __init__( is_head, proxy_router, request_timeout_s=request_timeout_s, + access_log_context=access_log_context, ) self.self_actor_name = self_actor_name self.asgi_receive_queues: Dict[str, MessageQueue] = dict() @@ -1053,6 +1065,32 @@ def __init__( configure_component_memory_profiler( component_name="proxy", component_id=node_ip_address ) + if logging_config.encoding == EncodingType.JSON: + # Create logging context for access logs as a performance optimization. + # While logging_utils can automatically add Ray core and Serve access log context, + # we pre-compute it here since context evaluation is expensive and this context + # will be reused for multiple access log entries. + ray_core_logging_context = CoreContextFilter.get_ray_core_logging_context() + # remove task level log keys from ray core logging context, it would be nice + # to have task level log keys here but we are letting those go in favor of + # performance optimization. Also we cannot include task level log keys here because + # they would referance the current task (__init__) and not the task that is logging. + for key in CoreContextFilter.TASK_LEVEL_LOG_KEYS: + ray_core_logging_context.pop(key, None) + access_log_context = { + **ray_core_logging_context, + SERVE_LOG_COMPONENT: "proxy", + SERVE_LOG_COMPONENT_ID: self._node_ip_address, + "log_to_stderr": False, + "skip_context_filter": True, + "serve_access_log": True, + } + else: + access_log_context = { + "log_to_stderr": False, + "skip_context_filter": True, + "serve_access_log": True, + } is_head = self._node_id == get_head_node_id() self.proxy_router = ProxyRouter(get_proxy_handle) @@ -1063,6 +1101,7 @@ def __init__( self_actor_name=ray.get_runtime_context().get_actor_name(), proxy_router=self.proxy_router, request_timeout_s=self._http_options.request_timeout_s, + access_log_context=access_log_context, ) self.grpc_proxy = ( gRPCProxy( @@ -1071,6 +1110,7 @@ def __init__( is_head=is_head, proxy_router=self.proxy_router, request_timeout_s=self._grpc_options.request_timeout_s, + access_log_context=access_log_context, ) if grpc_enabled else None diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 05eca1c2832c..d1831ea1c7fe 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -34,6 +34,7 @@ import ray from ray import cloudpickle from ray._common.utils import get_or_create_event_loop +from ray._private.ray_logging.filters import CoreContextFilter from ray.actor import ActorClass, ActorHandle from ray.remote_function import RemoteFunction from ray.serve import metrics @@ -61,6 +62,12 @@ REQUEST_LATENCY_BUCKETS_MS, REQUEST_ROUTING_STATS_METHOD, SERVE_CONTROLLER_NAME, + SERVE_LOG_APPLICATION, + SERVE_LOG_COMPONENT, + SERVE_LOG_DEPLOYMENT, + SERVE_LOG_REPLICA, + SERVE_LOG_REQUEST_ID, + SERVE_LOG_ROUTE, SERVE_LOGGER_NAME, SERVE_NAMESPACE, ) @@ -97,7 +104,7 @@ DeploymentUnavailableError, RayServeException, ) -from ray.serve.schema import LoggingConfig +from ray.serve.schema import EncodingType, LoggingConfig logger = logging.getLogger(SERVE_LOGGER_NAME) @@ -452,6 +459,33 @@ def _configure_logger_and_profilers( component_id=self._component_id, ) + if logging_config.encoding == EncodingType.JSON: + # Create logging context for access logs as a performance optimization. + # While logging_utils can automatically add Ray core and Serve access log context, + # we pre-compute it here since context evaluation is expensive and this context + # will be reused for multiple access log entries. + ray_core_logging_context = CoreContextFilter.get_ray_core_logging_context() + # remove task level log keys from ray core logging context, it would be nice + # to have task level log keys here but we are letting those go in favor of + # performance optimization. Also we cannot include task level log keys here because + # they would referance the current task (__init__) and not the task that is logging. + for key in CoreContextFilter.TASK_LEVEL_LOG_KEYS: + ray_core_logging_context.pop(key, None) + self._access_log_context = { + **ray_core_logging_context, + SERVE_LOG_DEPLOYMENT: self._component_name, + SERVE_LOG_REPLICA: self._component_id, + SERVE_LOG_COMPONENT: ServeComponentType.REPLICA, + SERVE_LOG_APPLICATION: self._deployment_id.app_name, + "skip_context_filter": True, + "serve_access_log": True, + } + else: + self._access_log_context = { + "skip_context_filter": True, + "serve_access_log": True, + } + def _can_accept_request(self, request_metadata: RequestMetadata) -> bool: # This replica gates concurrent request handling with an asyncio.Semaphore. # Each in-flight request acquires the semaphore. When the number of ongoing @@ -537,7 +571,11 @@ def _record_errors_and_metrics( else: status_str = "ERROR" - # Set in _wrap_request. + # Mutating self._access_log_context is not thread safe, but since this + # is only called from the same thread, it is safe. Mutating the same object + # because creating a new dict is expensive. + self._access_log_context[SERVE_LOG_ROUTE] = http_route + self._access_log_context[SERVE_LOG_REQUEST_ID] = request_metadata.request_id logger.info( access_log_msg( method=http_method or "CALL", @@ -546,7 +584,7 @@ def _record_errors_and_metrics( status=status_code or status_str, latency_ms=latency_ms, ), - extra={"serve_access_log": True}, + extra=self._access_log_context, ) self._metrics_manager.record_request_metrics( route=http_route, @@ -1167,7 +1205,8 @@ def __init__( self._run_user_code_in_separate_thread = run_user_code_in_separate_thread self._warned_about_sync_method_change = False self._cached_user_method_info: Dict[str, UserMethodInfo] = {} - + # This is for performance optimization https://docs.python.org/3/howto/logging.html#optimization + self._is_enabled_for_debug = logger.isEnabledFor(logging.DEBUG) # Will be populated in `initialize_callable`. self._callable = None @@ -1621,10 +1660,11 @@ async def _call_http_entrypoint( """ self._raise_if_not_initialized("_call_http_entrypoint") - logger.info( - f"Started executing request to method '{user_method_info.name}'.", - extra={"log_to_stderr": False, "serve_access_log": True}, - ) + if self._is_enabled_for_debug: + logger.debug( + f"Started executing request to method '{user_method_info.name}'.", + extra={"log_to_stderr": False, "serve_access_log": True}, + ) if user_method_info.is_asgi_app: request_args = (scope, receive, send) @@ -1754,10 +1794,11 @@ async def _call_user_generator( or inspect.isasyncgenfunction(callable) ) - logger.info( - f"Started executing request to method '{user_method_info.name}'.", - extra={"log_to_stderr": False, "serve_access_log": True}, - ) + if self._is_enabled_for_debug: + logger.debug( + f"Started executing request to method '{user_method_info.name}'.", + extra={"log_to_stderr": False, "serve_access_log": True}, + ) async def _call_generator_async() -> AsyncGenerator[Any, None]: gen = callable(*request_args, **request_kwargs) @@ -1813,10 +1854,11 @@ async def call_user_method( """ self._raise_if_not_initialized("call_user_method") - logger.info( - f"Started executing request to method '{request_metadata.call_method}'.", - extra={"log_to_stderr": False, "serve_access_log": True}, - ) + if self._is_enabled_for_debug: + logger.debug( + f"Started executing request to method '{request_metadata.call_method}'.", + extra={"log_to_stderr": False, "serve_access_log": True}, + ) user_method_info = self.get_user_method_info(request_metadata.call_method) result, _ = await self._call_func_or_gen( @@ -1849,7 +1891,7 @@ async def call_destructor(self): actually call the destructor. """ if self._callable is None: - logger.info( + logger.debug( "This replica has not yet started running user code. " "Skipping __del__." ) From 1d3727d0d3a9b73e54eddf099cce979dc272f1a2 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 7 Aug 2025 14:38:01 -0700 Subject: [PATCH 0552/1566] [depset] fix bazel unit tests (#55372) add uv cache directory option so that unit tests can pass with `bazelisk test` in the bazel sandbox Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 27 ++++++++--- ci/raydepsets/test_cli.py | 99 ++++++++++++++++----------------------- 2 files changed, 61 insertions(+), 65 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 580601b0d943..facc82aaf32c 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -33,9 +33,19 @@ def cli(): @click.argument("config_path", default="ci/raydepsets/ray.depsets.yaml") @click.option("--workspace-dir", default=None) @click.option("--name", default=None) -def load(config_path: str, workspace_dir: str, name: str): +@click.option("--uv-cache-dir", default=None) +def load( + config_path: str, + workspace_dir: Optional[str], + name: Optional[str], + uv_cache_dir: Optional[str], +): """Load a dependency sets from a config file.""" - manager = DependencySetManager(config_path=config_path, workspace_dir=workspace_dir) + manager = DependencySetManager( + config_path=config_path, + workspace_dir=workspace_dir, + uv_cache_dir=uv_cache_dir, + ) if name: manager.execute_single(manager.get_depset(name)) else: @@ -45,13 +55,16 @@ def load(config_path: str, workspace_dir: str, name: str): class DependencySetManager: def __init__( self, - config_path: Path = Path(__file__).parent / "ray.depsets.yaml", - workspace_dir: str = None, + config_path: str = None, + workspace_dir: Optional[str] = None, + uv_cache_dir: Optional[str] = None, ): self.workspace = Workspace(workspace_dir) self.config = self.workspace.load_config(config_path) self.build_graph = DiGraph() self._build() + self._uv_binary = _uv_binary() + self._uv_cache_dir = uv_cache_dir def _build(self): for depset in self.config.depsets: @@ -85,7 +98,7 @@ def get_depset(self, name: str) -> Depset: raise KeyError(f"Dependency set {name} not found") def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: - cmd = [uv_binary(), "pip", cmd, *args] + cmd = [self._uv_binary, "pip", cmd, *args] click.echo(f"Executing command: {cmd}") status = subprocess.run(cmd, cwd=self.workspace.dir) if status.returncode != 0: @@ -133,6 +146,8 @@ def compile( ): """Compile a dependency set.""" args = DEFAULT_UV_FLAGS.copy() + if self._uv_cache_dir: + args.extend(["--cache-dir", self._uv_cache_dir]) if override_flags: args = _override_uv_flags(override_flags, args) if append_flags: @@ -239,7 +254,7 @@ def _append_uv_flags(flags: List[str], args: List[str]) -> List[str]: return args -def uv_binary(): +def _uv_binary(): r = runfiles.Create() system = platform.system() if system != "Linux" or platform.processor() != "x86_64": diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 0fbab4d9ad69..568731d89403 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -1,14 +1,19 @@ import pytest import sys -import unittest -import tempfile +from typing import Optional +from pathlib import Path import subprocess import shutil +import tempfile +import unittest + import runfiles +from networkx import topological_sort + from ci.raydepsets.cli import ( load, DependencySetManager, - uv_binary, + _uv_binary, _override_uv_flags, _append_uv_flags, _flatten_flags, @@ -17,13 +22,24 @@ ) from ci.raydepsets.workspace import Workspace from click.testing import CliRunner -from pathlib import Path -from networkx import topological_sort _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() +def _create_test_manager( + tmpdir: str, config_path: Optional[str] = None +) -> DependencySetManager: + if config_path is None: + config_path = "test.depsets.yaml" + uv_cache_dir = Path(tmpdir) / "uv_cache" + return DependencySetManager( + config_path=config_path, + workspace_dir=tmpdir, + uv_cache_dir=uv_cache_dir.as_posix(), + ) + + class TestCli(unittest.TestCase): def test_workspace_init(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -46,10 +62,7 @@ def test_cli_load_fail_no_config(self): def test_dependency_set_manager_init(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) assert manager is not None assert manager.workspace.dir == tmpdir assert manager.config.depsets[0].name == "ray_base_test_depset" @@ -63,19 +76,16 @@ def test_dependency_set_manager_init(self): def test_dependency_set_manager_get_depset(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) with self.assertRaises(KeyError): manager.get_depset("fake_depset") def test_uv_binary_exists(self): - assert uv_binary() is not None + assert _uv_binary() is not None def test_uv_version(self): result = subprocess.run( - [uv_binary(), "--version"], + [_uv_binary(), "--version"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) @@ -98,10 +108,7 @@ def test_compile(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], @@ -126,10 +133,7 @@ def test_compile_update_package(self): _runfiles.Rlocation(f"{tmpdir}/requirements_compiled.txt") ) shutil.copy(compiled_file, output_file) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], @@ -146,6 +150,8 @@ def test_compile_update_package(self): def test_compile_by_depset_name(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) + uv_cache_dir = Path(tmpdir) / "uv_cache" + result = CliRunner().invoke( load, [ @@ -154,6 +160,8 @@ def test_compile_by_depset_name(self): tmpdir, "--name", "ray_base_test_depset", + "--uv-cache-dir", + uv_cache_dir.as_posix(), ], ) @@ -174,10 +182,7 @@ def test_subset(self): Path(tmpdir) / "requirements_test_subset.txt", ["six==1.16.0"], ) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) # Compile general_depset with requirements_test.txt and requirements_test_subset.txt manager.compile( constraints=["requirement_constraints_test.txt"], @@ -209,10 +214,7 @@ def test_subset_does_not_exist(self): Path(tmpdir) / "requirements_test_subset.txt", ["six==1.16.0"], ) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt", "requirements_test_subset.txt"], @@ -233,10 +235,7 @@ def test_subset_does_not_exist(self): def test_check_if_subset_exists(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) source_depset = Depset( name="general_depset", operation="compile", @@ -255,10 +254,7 @@ def test_check_if_subset_exists(self): def test_compile_bad_requirements(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) with self.assertRaises(RuntimeError): manager.compile( constraints=[], @@ -270,10 +266,7 @@ def test_compile_bad_requirements(self): def test_get_path(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) assert ( manager.get_path("requirements_test.txt") == f"{tmpdir}/requirements_test.txt" @@ -337,10 +330,7 @@ def test_flatten_flags(self): def test_build_graph(self): with tempfile.TemporaryDirectory() as tmpdir: _copy_data_to_tmpdir(tmpdir) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) assert manager.build_graph is not None assert len(manager.build_graph.nodes()) == 5 assert len(manager.build_graph.edges()) == 3 @@ -374,10 +364,7 @@ def test_build_graph_bad_operation(self): """ ) with self.assertRaises(ValueError): - DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + _create_test_manager(tmpdir) def test_execute(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -398,10 +385,7 @@ def test_expand(self): Path(tmpdir) / "requirement_constraints_expand.txt", "six==1.17.0", ) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], @@ -445,10 +429,7 @@ def test_expand_with_requirements(self): Path(tmpdir) / "requirement_constraints_expand.txt", "six==1.17.0", ) - manager = DependencySetManager( - config_path="test.depsets.yaml", - workspace_dir=tmpdir, - ) + manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], From 527fe25623e049ab329b89003d9d0c75dbe4b8f7 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 8 Aug 2025 00:35:10 +0200 Subject: [PATCH 0553/1566] [Serve.llm] Add PDServer and PrefixCacheAffinityRouter to the public alpha APIs. (#54891) Signed-off-by: Kourosh Hakhamaneshi Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/serve/llm/serving-llms.rst | 32 ++-- .../serve/deployments/llm/llm_server.py | 2 +- .../prefill_decode_disagg.py | 30 ++-- .../prefix_aware/prefix_aware_router.py | 2 +- .../test_prefill_decode_disagg.py | 4 +- .../test_prefix_aware_request_router.py | 6 +- python/ray/serve/config.py | 2 +- python/ray/serve/llm/__init__.py | 170 +++++++++--------- python/ray/serve/llm/deployment.py | 82 +++++++++ python/ray/serve/llm/ingress.py | 61 +++++++ python/ray/serve/llm/request_router.py | 42 +++++ .../ray/serve/tests/unit/test_llm_imports.py | 3 +- ...rve_llama_3dot1_8b_quantized_tp1_1p1d.yaml | 2 +- ...rve_llama_3dot1_8b_quantized_tp1_2p6d.yaml | 2 +- 14 files changed, 314 insertions(+), 126 deletions(-) create mode 100644 python/ray/serve/llm/deployment.py create mode 100644 python/ray/serve/llm/ingress.py create mode 100644 python/ray/serve/llm/request_router.py diff --git a/doc/source/serve/llm/serving-llms.rst b/doc/source/serve/llm/serving-llms.rst index cbba54e26e88..9e5048e423b1 100644 --- a/doc/source/serve/llm/serving-llms.rst +++ b/doc/source/serve/llm/serving-llms.rst @@ -34,7 +34,7 @@ LLMServer The LLMServer sets up and manages the vLLM engine for model serving. It can be used standalone or combined with your own custom Ray Serve deployments. -LLMRouter +OpenAiIngress ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This deployment provides an OpenAI-compatible FastAPI ingress and routes traffic to the appropriate model for multi-model services. The following endpoints are supported: @@ -60,8 +60,8 @@ The :class:`LLMConfig ` class specifies model details s Quickstart Examples ------------------- -Deployment through :class:`LLMRouter ` -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Deployment through :class:`OpenAiIngress ` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. tab-set:: @@ -100,7 +100,9 @@ Deployment through :class:`LLMRouter ` .. code-block:: python from ray import serve - from ray.serve.llm import LLMConfig, LLMServer, LLMRouter + from ray.serve.llm import LLMConfig + from ray.serve.llm.deployment import LLMServer + from ray.serve.llm.ingress import OpenAiIngress llm_config = LLMConfig( model_loading_config=dict( @@ -122,7 +124,7 @@ Deployment through :class:`LLMRouter ` # Deploy the application deployment = LLMServer.as_deployment(llm_config.get_serve_options(name_prefix="vLLM:")).bind(llm_config) - llm_app = LLMRouter.as_deployment().bind([deployment]) + llm_app = OpenAiIngress.as_deployment().bind([deployment]) serve.run(llm_app, blocking=True) You can query the deployed models using either cURL or the OpenAI Python client: @@ -164,7 +166,7 @@ You can query the deployed models using either cURL or the OpenAI Python client: print(chunk.choices[0].delta.content, end="", flush=True) -For deploying multiple models, you can pass a list of :class:`LLMConfig ` objects to the :class:`LLMRouter ` deployment: +For deploying multiple models, you can pass a list of :class:`LLMConfig ` objects to the :class:`OpenAiIngress ` deployment: .. tab-set:: @@ -213,7 +215,9 @@ For deploying multiple models, you can pass a list of :class:`LLMConfig LLMConfig: class PDProxyServer(LLMServer): _default_engine_cls = None - """ - Proxy between P/D LLM servers. + """Proxy between P/D LLM servers. For chat and completions, proxy sends the request to the prefill server and then parses the response to send to the decode server. Args: - llm_config: The LLM config for the proxy server, LLMRouter will use this config to - setup the supported model list (/v1/models endpoint) and route request to proper - server according to the model id. prefill_server: The prefill server deployment handle. decode_server: The decode server deployment handle. """ async def __init__( self, - llm_config: LLMConfig, prefill_server: DeploymentHandle, decode_server: DeploymentHandle, ): - # We pass `llm_config` here to let super() extract the model_id, such that /v1/models - # endpoint can work correctly. - # TODO(lk-chen): refactor LLMRouter <-> LLMServer such that router query model_id through - # API, instead of passing it in as an argument. - await super().__init__( - llm_config, - ) + # We pass `llm_config` here to let super() extract the model_id, + # such that /v1/models endpoint can work correctly. + # TODO(lk-chen): refactor LLMRouter <-> LLMServer such that router + # query model_id through API, instead of passing it in as an argument. + # We can obtain llm_config from prefill_server for obtaining model_id + # assuming there is no mismatch between prefill and decode server. + llm_config = await prefill_server.llm_config.remote() + await super().__init__(llm_config) self.prefill_server = prefill_server.options(stream=True) self.decode_server = decode_server.options(stream=True) @@ -179,8 +174,8 @@ def as_deployment(cls) -> serve.Deployment: return serve.deployment()(cls) -def build_app(pd_serving_args: dict) -> Application: - """Build a deployable application utilizing P/D disaggregation.""" +def build_pd_openai_app(pd_serving_args: dict) -> Application: + """Build a deployable application utilizing prefill/decode disaggregation.""" pd_config = PDServingArgs.model_validate(pd_serving_args).parse_args() @@ -210,9 +205,6 @@ def build_app(pd_serving_args: dict) -> Application: PDProxyServer.as_deployment() .options(**pd_config.proxy_deployment_config) .bind( - llm_config=LLMConfig( - model_loading_config=ModelLoadingConfig(model_id=model_id) - ), prefill_server=prefill_deployment, decode_server=decode_deployment, ) diff --git a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py index 5c6e8b28d504..3fb897753ad4 100644 --- a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +++ b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py @@ -34,7 +34,7 @@ logger = logging.getLogger(SERVE_LOGGER_NAME) -class PrefixAwarePow2ReplicaRouter(LocalityMixin, MultiplexMixin, RequestRouter): +class PrefixCacheAffinityRouter(LocalityMixin, MultiplexMixin, RequestRouter): """Extends the PowerOfTwoChoicesRequestRouter with prefix-matching capabilities. This request router optimizes replica selection by considering input text prefixes: diff --git a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py index c4028f71c385..c6444a8b7152 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py +++ b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py @@ -3,7 +3,7 @@ import pytest from ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg import ( - build_app, + build_pd_openai_app, ) from ray.serve.llm import LLMConfig @@ -44,7 +44,7 @@ def test_parse_dict(self): pd_config = {"prefill_config": prefill_config, "decode_config": decode_config} - app = build_app(pd_config) + app = build_pd_openai_app(pd_config) assert app is not None diff --git a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py index e65efe879cc9..a3ac2ced6185 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py +++ b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py @@ -6,7 +6,7 @@ import ray from ray._common.utils import get_or_create_event_loop from ray.llm._internal.serve.request_router.prefix_aware.prefix_aware_router import ( - PrefixAwarePow2ReplicaRouter, + PrefixCacheAffinityRouter, ) from ray.llm._internal.serve.request_router.prefix_aware.prefix_tree import ( PrefixTreeActor, @@ -40,11 +40,11 @@ def tree_actor(): @pytest.fixture def prefix_request_router(tree_actor, request): - """Create a fresh PrefixAwarePow2ReplicaRouter with connected tree_actor.""" + """Create a fresh PrefixCacheAffinityRouter with connected tree_actor.""" params = getattr(request, "param", {}) async def construct_request_router(loop: asyncio.AbstractEventLoop): - request_router = PrefixAwarePow2ReplicaRouter( + request_router = PrefixCacheAffinityRouter( deployment_id=DeploymentID(name="TEST_DEPLOYMENT"), handle_source=DeploymentHandleSource.REPLICA, use_replica_queue_len_cache=False, diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index cabae39eddc0..d06c8f8cddf4 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -59,7 +59,7 @@ class RequestRouterConfig(BaseModel): # Use custom router class request_router_config = RequestRouterConfig( - request_router_class="ray.llm._internal.serve.request_router.prefix_aware.prefix_aware_router.PrefixAwarePow2ReplicaRouter", + request_router_class="ray.serve.llm.request_router.PrefixCacheAffinityRouter", request_router_kwargs={"imbalanced_threshold": 20} ) deployment_config = DeploymentConfig( diff --git a/python/ray/serve/llm/__init__.py b/python/ray/serve/llm/__init__.py index 48a5fbb230cd..6bee92952088 100644 --- a/python/ray/serve/llm/__init__.py +++ b/python/ray/serve/llm/__init__.py @@ -7,12 +7,18 @@ LoraConfig as _LoraConfig, ModelLoadingConfig as _ModelLoadingConfig, ) + +# For backward compatibility from ray.llm._internal.serve.deployments.llm.llm_server import ( LLMServer as _LLMServer, ) from ray.llm._internal.serve.deployments.routers.router import ( LLMRouter as _LLMRouter, ) + +# Using Deprecated from rllib since they are retuning better messages. +# TODO: Ray core should inherit that. +from ray.rllib.utils.deprecation import Deprecated from ray.util.annotations import PublicAPI if TYPE_CHECKING: @@ -59,6 +65,27 @@ class LoraConfig(_LoraConfig): pass +############# +# Deployments +############# + + +@Deprecated( + old="ray.serve.llm.LLMServer", new="ray.serve.llm.deployment.LLMServer", error=False +) +class LLMServer(_LLMServer): + pass + + +@Deprecated( + old="ray.serve.llm.LLMRouter", + new="ray.serve.llm.ingress.OpenAIIngress", + error=False, +) +class LLMRouter(_LLMRouter): + pass + + ########## # Builders ########## @@ -236,117 +263,94 @@ def build_openai_app(llm_serving_args: "LLMServingArgs") -> "Application": return build_openai_app(llm_serving_args=llm_serving_args) -############# -# Deployments -############# - - @PublicAPI(stability="alpha") -class LLMServer(_LLMServer): - """The implementation of the vLLM engine deployment. +def build_pd_openai_app(pd_serving_args: dict) -> "Application": + """Build a deployable application utilizing P/D disaggregation. - To build a Deployment object you should use `build_llm_deployment` function. - We also expose a lower level API for more control over the deployment class - through `as_deployment` method. Examples: - .. testcode:: - :skipif: True + .. code-block:: python + :caption: Example usage in code. from ray import serve - from ray.serve.llm import LLMConfig, LLMServer + from ray.serve.llm import LLMConfig, build_pd_openai_app - # Configure the model - llm_config = LLMConfig( + config = LLMConfig( model_loading_config=dict( - served_model_name="llama-3.1-8b", - model_source="meta-llama/Llama-3.1-8b-instruct", + model_id="qwen-0.5b", + model_source="Qwen/Qwen2.5-0.5B-Instruct", ), deployment_config=dict( autoscaling_config=dict( - min_replicas=1, - max_replicas=8, + min_replicas=1, max_replicas=2, ) ), + accelerator_type="A10G", ) - # Build the deployment directly - LLMDeployment = LLMServer.as_deployment(llm_config.get_serve_options()) - llm_app = LLMDeployment.bind(llm_config) - - model_handle = serve.run(llm_app) - - # Query the model via `chat` api - from ray.serve.llm.openai_api_models import ChatCompletionRequest - request = ChatCompletionRequest( - model="llama-3.1-8b", - messages=[ - { - "role": "user", - "content": "Hello, world!" - } - ] + # Deploy the application + llm_app = build_pd_openai_app( + dict( + prefill_config=config, + decode_config=config, + ) ) - response = ray.get(model_handle.chat(request)) - print(response) - """ - - pass - -@PublicAPI(stability="alpha") -class LLMRouter(_LLMRouter): + serve.run(llm_app) - """The implementation of the OpenAI compatiple model router. - This deployment creates the following endpoints: - - /v1/chat/completions: Chat interface (OpenAI-style) - - /v1/completions: Text completion - - /v1/models: List available models - - /v1/models/{model}: Model information + # Querying the model via openai client + from openai import OpenAI + # Initialize client + client = OpenAI(base_url="http://localhost:8000/v1", api_key="fake-key") - Examples: - .. testcode:: - :skipif: True + # Basic completion + response = client.chat.completions.create( + model="qwen-0.5b", + messages=[{"role": "user", "content": "Hello!"}] + ) + .. code-block:: yaml + :caption: Example usage in YAML. - from ray import serve - from ray.serve.llm import LLMConfig, LLMServer, LLMRouter - from ray.serve.llm.openai_api_models import ChatCompletionRequest + # config.yaml + applications: + - args: + prefill_config: + model_loading_config: + model_id: qwen-0.5b + model_source: Qwen/Qwen2.5-0.5B-Instruct + accelerator_type: A10G + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 2 + decode_config: + model_loading_config: + model_id: qwen-1.5b + model_source: Qwen/Qwen2.5-1.5B-Instruct + accelerator_type: A10G + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 2 + import_path: ray.serve.llm:build_pd_openai_app + name: llm_app + route_prefix: "/" - llm_config1 = LLMConfig( - model_loading_config=dict( - served_model_name="llama-3.1-8b", # Name shown in /v1/models - model_source="meta-llama/Llama-3.1-8b-instruct", - ), - deployment_config=dict( - autoscaling_config=dict( - min_replicas=1, max_replicas=8, - ) - ), - ) - llm_config2 = LLMConfig( - model_loading_config=dict( - served_model_name="llama-3.2-3b", # Name shown in /v1/models - model_source="meta-llama/Llama-3.2-3b-instruct", - ), - deployment_config=dict( - autoscaling_config=dict( - min_replicas=1, max_replicas=8, - ) - ), - ) + Args: + pd_serving_args: The dictionary containing prefill and decode configs. - # Deploy the application - vllm_deployment1 = LLMServer.as_deployment(llm_config1.get_serve_options()).bind(llm_config1) - vllm_deployment2 = LLMServer.as_deployment(llm_config2.get_serve_options()).bind(llm_config2) - llm_app = LLMRouter.as_deployment().bind([vllm_deployment1, vllm_deployment2]) - serve.run(llm_app) + Returns: + The configured Ray Serve Application router. """ + from ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg import ( + build_pd_openai_app as _build_pd_openai_app, + ) - pass + return _build_pd_openai_app(pd_serving_args=pd_serving_args) __all__ = [ diff --git a/python/ray/serve/llm/deployment.py b/python/ray/serve/llm/deployment.py new file mode 100644 index 000000000000..f4640a802c48 --- /dev/null +++ b/python/ray/serve/llm/deployment.py @@ -0,0 +1,82 @@ +from ray.llm._internal.serve.deployments.llm.llm_server import ( + LLMServer as InternalLLMServer, +) + +# TODO (Kourosh): Update the internal namespace. +from ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg import ( + PDProxyServer, +) +from ray.util.annotations import PublicAPI + +############# +# Deployments +############# + + +@PublicAPI(stability="alpha") +class LLMServer(InternalLLMServer): + """The implementation of the vLLM engine deployment. + + To build a Deployment object you should use `build_llm_deployment` function. + We also expose a lower level API for more control over the deployment class + through `as_deployment` method. + + Examples: + .. testcode:: + :skipif: True + + from ray import serve + from ray.serve.llm import LLMConfig, LLMServer + + # Configure the model + llm_config = LLMConfig( + model_loading_config=dict( + served_model_name="llama-3.1-8b", + model_source="meta-llama/Llama-3.1-8b-instruct", + ), + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=8, + ) + ), + ) + + # Build the deployment directly + LLMDeployment = LLMServer.as_deployment(llm_config.get_serve_options()) + llm_app = LLMDeployment.bind(llm_config) + + model_handle = serve.run(llm_app) + + # Query the model via `chat` api + from ray.serve.llm.openai_api_models import ChatCompletionRequest + request = ChatCompletionRequest( + model="llama-3.1-8b", + messages=[ + { + "role": "user", + "content": "Hello, world!" + } + ] + ) + response = ray.get(model_handle.chat(request)) + print(response) + """ + + pass + + +@PublicAPI(stability="alpha") +class PDServer(PDProxyServer): + """A server for prefill-decode disaggregation. + + This server acts as a proxy in a prefill-decode disaggregated system. + For chat and completions, proxy sends the request to the prefill server + with max_tokens=1 and then sends the returned metadata to the decode server. + + Args: + prefill_server: The prefill server deployment handle. + decode_server: The decode server deployment handle. + """ + + pass diff --git a/python/ray/serve/llm/ingress.py b/python/ray/serve/llm/ingress.py new file mode 100644 index 000000000000..466f46bb2a5b --- /dev/null +++ b/python/ray/serve/llm/ingress.py @@ -0,0 +1,61 @@ +from ray.llm._internal.serve.deployments.routers.router import ( + LLMRouter as _LLMRouter, +) +from ray.util.annotations import PublicAPI + + +@PublicAPI(stability="alpha") +class OpenAiIngress(_LLMRouter): + + """The implementation of the OpenAI compatiple model router. + + This deployment creates the following endpoints: + - /v1/chat/completions: Chat interface (OpenAI-style) + - /v1/completions: Text completion + - /v1/models: List available models + - /v1/models/{model}: Model information + + + Examples: + .. testcode:: + :skipif: True + + + from ray import serve + from ray.serve.llm import LLMConfig + from ray.serve.llm.deployment import LLMServer + from ray.serve.llm.ingress import OpenAiIngress + from ray.serve.llm.openai_api_models import ChatCompletionRequest + + + llm_config1 = LLMConfig( + model_loading_config=dict( + served_model_name="llama-3.1-8b", # Name shown in /v1/models + model_source="meta-llama/Llama-3.1-8b-instruct", + ), + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, max_replicas=8, + ) + ), + ) + llm_config2 = LLMConfig( + model_loading_config=dict( + served_model_name="llama-3.2-3b", # Name shown in /v1/models + model_source="meta-llama/Llama-3.2-3b-instruct", + ), + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, max_replicas=8, + ) + ), + ) + + # Deploy the application + vllm_deployment1 = LLMServer.as_deployment(llm_config1.get_serve_options()).bind(llm_config1) + vllm_deployment2 = LLMServer.as_deployment(llm_config2.get_serve_options()).bind(llm_config2) + llm_app = OpenAiIngress.as_deployment().bind([vllm_deployment1, vllm_deployment2]) + serve.run(llm_app) + """ + + pass diff --git a/python/ray/serve/llm/request_router.py b/python/ray/serve/llm/request_router.py new file mode 100644 index 000000000000..95aaf8ef6cb6 --- /dev/null +++ b/python/ray/serve/llm/request_router.py @@ -0,0 +1,42 @@ +from ray.llm._internal.serve.request_router.prefix_aware.prefix_aware_router import ( + PrefixCacheAffinityRouter as _PrefixCacheAffinityRouter, +) +from ray.util.annotations import PublicAPI + + +@PublicAPI(stability="alpha") +class PrefixCacheAffinityRouter(_PrefixCacheAffinityRouter): + """A request router that is aware of the KV cache. + + This router optimizes request routing by considering KV cache locality, + directing requests with similar prefixes to the same replica to improve + cache hit rates. + + The internal policy is this (it may change in the future): + + 1. Mixes between three strategies to balance prefix cache hit rate and load + balancing: + - When load is balanced (queue length difference < threshold), it + selects replicas with the highest prefix match rate for the input text + - When load is balanced but match rate is below 10%, it falls back to + the smallest tenants (i.e. the replica with the least kv cache) + - When load is imbalanced, it uses the default Power of Two selection + + 2. Maintains a prefix tree to track which replicas have processed similar + inputs: + - Inserts prompt text into the prefix tree after routing + - Uses this history to inform future routing decisions + + Parameters: + imbalanced_threshold: The threshold for considering the load imbalanced. + match_rate_threshold: The threshold for considering the match rate. + do_eviction: Whether to do eviction. + eviction_threshold_chars: Number of characters in the tree to trigger + eviction. + eviction_target_chars: Number of characters in the tree to target for + eviction. + eviction_interval_secs: How often (in seconds) to run the eviction + policy. + """ + + pass diff --git a/python/ray/serve/tests/unit/test_llm_imports.py b/python/ray/serve/tests/unit/test_llm_imports.py index a53abd7f3b5e..af45209fd6ec 100644 --- a/python/ray/serve/tests/unit/test_llm_imports.py +++ b/python/ray/serve/tests/unit/test_llm_imports.py @@ -32,8 +32,7 @@ def test_serve_llm_import_does_not_error(): LLMConfig, # noqa: F401 ) with pytest.raises(ImportError): - from ray.serve.llm import ( - LLMRouter, # noqa: F401 + from ray.serve.llm.deployment import ( LLMServer, # noqa: F401 ) with pytest.raises(ImportError): diff --git a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_1p1d.yaml b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_1p1d.yaml index 20d309a3d2a0..eee1a9818310 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_1p1d.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_1p1d.yaml @@ -2,6 +2,6 @@ applications: - args: prefill_config: ./configs/model_config/llama_3dot1_8b_quantized_tp1.yaml decode_config: ./configs/model_config/llama_3dot1_8b_quantized_tp1.yaml - import_path: ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg:build_app + import_path: ray.serve.llm:build_pd_openai_app name: llm-endpoint route_prefix: / diff --git a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml index 1c1692524336..76de219fbc37 100644 --- a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml +++ b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml @@ -24,6 +24,6 @@ applications: autoscaling_config: min_replicas: 6 max_replicas: 6 - import_path: ray.llm._internal.serve.deployments.prefill_decode_disagg.prefill_decode_disagg:build_app + import_path: ray.serve.llm:build_pd_openai_app name: llm-endpoint route_prefix: / From d44a8638a16b14addb811e1ce22bc6c19f50338c Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 7 Aug 2025 15:36:09 -0700 Subject: [PATCH 0554/1566] [ci] raydepsets: adding build arg sets (#55377) adding parsing for build arg sets Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/test_cli.py | 16 ++++++++++++++++ ci/raydepsets/test_data/test.depsets.yaml | 10 ++++++++++ ci/raydepsets/workspace.py | 20 +++++++++++++++++++- 3 files changed, 45 insertions(+), 1 deletion(-) diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 568731d89403..29ceb9d0d1ba 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -451,6 +451,22 @@ def test_expand_with_requirements(self): output_text_valid = output_file_valid.read_text() assert output_text == output_text_valid + def test_parse_build_arg_sets(self): + with tempfile.TemporaryDirectory() as tmpdir: + _copy_data_to_tmpdir(tmpdir) + workspace = Workspace(dir=tmpdir) + config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") + assert config.build_arg_sets[0].name == "py311_cpu" + assert config.build_arg_sets[0].build_args == { + "CUDA_VERSION": "cpu", + "PYTHON_VERSION": "py311", + } + assert config.build_arg_sets[1].name == "py311_cuda128" + assert config.build_arg_sets[1].build_args == { + "CUDA_VERSION": 128, + "PYTHON_VERSION": "py311", + } + def _copy_data_to_tmpdir(tmpdir): shutil.copytree( diff --git a/ci/raydepsets/test_data/test.depsets.yaml b/ci/raydepsets/test_data/test.depsets.yaml index db0c789eb739..5ebd0485746e 100644 --- a/ci/raydepsets/test_data/test.depsets.yaml +++ b/ci/raydepsets/test_data/test.depsets.yaml @@ -1,3 +1,13 @@ +build_arg_sets: + - name: py311_cpu + build_args: + CUDA_VERSION: cpu + PYTHON_VERSION: py311 + - name: py311_cuda128 + build_args: + CUDA_VERSION: 128 + PYTHON_VERSION: py311 + depsets: - name: ray_base_test_depset operation: compile diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 3990fb461977..ed3f8652ca40 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -4,6 +4,12 @@ import os +@dataclass +class BuildArgSet: + name: str + build_args: List[str] + + @dataclass class Depset: name: str @@ -20,6 +26,7 @@ class Depset: @dataclass class Config: depsets: List[Depset] = field(default_factory=list) + build_arg_sets: List[BuildArgSet] = field(default_factory=list) @staticmethod def from_dict(data: dict) -> "Config": @@ -39,7 +46,18 @@ def from_dict(data: dict) -> "Config": for values in raw_depsets ] - return Config(depsets=depsets) + build_arg_sets = Config.parse_build_arg_sets(data.get("build_arg_sets", [])) + return Config(depsets=depsets, build_arg_sets=build_arg_sets) + + @staticmethod + def parse_build_arg_sets(build_arg_sets: List[dict]) -> List[BuildArgSet]: + return [ + BuildArgSet( + name=build_arg_set.get("name", None), + build_args=build_arg_set.get("build_args", []), + ) + for build_arg_set in build_arg_sets + ] class Workspace: From 9abcf89f10c8602b76166fa29e440701cde601c6 Mon Sep 17 00:00:00 2001 From: Yicheng-Lu-llll <51814063+Yicheng-Lu-llll@users.noreply.github.com> Date: Thu, 7 Aug 2025 15:42:48 -0700 Subject: [PATCH 0555/1566] [2/n] IPv6 support: address <-> host:port conversion for CPP Part (#55282) Signed-off-by: Yicheng-Lu-llll Signed-off-by: Douglas Strodtman --- cpp/BUILD.bazel | 2 + cpp/src/ray/config_internal.cc | 15 ++-- cpp/src/ray/test/cluster/cluster_mode_test.cc | 3 +- cpp/src/ray/util/process_helper.cc | 3 +- cpp/src/ray/util/util.cc | 8 +- src/ray/common/BUILD.bazel | 16 +--- src/ray/common/network_util.cc | 31 -------- src/ray/common/network_util.h | 19 ----- src/ray/common/test/BUILD.bazel | 2 + src/ray/common/test/ray_syncer_test.cc | 5 +- .../common/test/syncer_service_e2e_test.cc | 8 +- src/ray/common/test_util.cc | 2 +- src/ray/core_worker/BUILD.bazel | 2 + src/ray/core_worker/core_worker_process.cc | 5 +- src/ray/core_worker/reference_count.cc | 16 ++-- src/ray/gcs/BUILD.bazel | 1 + src/ray/gcs/gcs_client/BUILD.bazel | 1 + src/ray/gcs/gcs_client/gcs_client.cc | 5 +- src/ray/gcs/gcs_client/gcs_client.h | 9 ++- src/ray/gcs/gcs_client/test/BUILD.bazel | 2 + .../test/gcs_client_reconnection_test.cc | 3 +- .../gcs/gcs_client/test/gcs_client_test.cc | 7 +- src/ray/gcs/gcs_server/BUILD.bazel | 1 + src/ray/gcs/gcs_server/gcs_server.cc | 5 +- src/ray/gcs/gcs_server/test/BUILD.bazel | 1 + .../test/gcs_health_check_manager_test.cc | 3 +- src/ray/gcs/redis_context.cc | 22 +++--- src/ray/pubsub/test/BUILD.bazel | 1 + src/ray/pubsub/test/integration_test.cc | 3 +- src/ray/raylet/BUILD.bazel | 4 +- src/ray/raylet/node_manager.cc | 6 +- src/ray/raylet/raylet.cc | 11 ++- src/ray/raylet/worker_pool.cc | 2 +- src/ray/rpc/BUILD.bazel | 6 ++ src/ray/rpc/gcs/gcs_rpc_client.h | 5 +- src/ray/rpc/grpc_client.h | 10 +-- src/ray/rpc/grpc_server.cc | 5 +- src/ray/rpc/metrics_agent_client.h | 5 +- .../rpc/node_manager/raylet_client_pool.cc | 6 +- src/ray/rpc/worker/core_worker_client_pool.cc | 4 +- src/ray/stats/BUILD.bazel | 1 + src/ray/stats/stats.h | 3 +- src/ray/util/BUILD.bazel | 10 +++ src/ray/util/network_util.cc | 74 ++++++++++++++++++ src/ray/util/network_util.h | 46 +++++++++++ src/ray/util/tests/BUILD.bazel | 11 +++ src/ray/util/tests/network_util_test.cc | 77 +++++++++++++++++++ 47 files changed, 349 insertions(+), 138 deletions(-) delete mode 100644 src/ray/common/network_util.cc delete mode 100644 src/ray/common/network_util.h create mode 100644 src/ray/util/network_util.cc create mode 100644 src/ray/util/network_util.h create mode 100644 src/ray/util/tests/network_util_test.cc diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index fad359618fdd..3164cf7cacf5 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -69,6 +69,7 @@ cc_library( "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/util", "//src/ray/util:cmd_line_utils", + "//src/ray/util:network_util", "//src/ray/util:process", "@boost//:callable_traits", "@boost//:dll", @@ -256,6 +257,7 @@ cc_test( tags = ["team:core"], deps = [ "ray_api_lib", + "//src/ray/util:network_util", "@com_google_googletest//:gtest_main", ], ) diff --git a/cpp/src/ray/config_internal.cc b/cpp/src/ray/config_internal.cc index 8a5dac0b92f0..01ee6001502c 100644 --- a/cpp/src/ray/config_internal.cc +++ b/cpp/src/ray/config_internal.cc @@ -22,6 +22,7 @@ #include "absl/flags/parse.h" #include "absl/strings/str_split.h" #include "nlohmann/json.hpp" +#include "ray/util/network_util.h" ABSL_FLAG(std::string, ray_address, "", "The address of the Ray cluster to connect to."); @@ -248,12 +249,14 @@ void ConfigInternal::Init(RayConfig &config, int argc, char **argv) { } }; -void ConfigInternal::SetBootstrapAddress(std::string_view address) { - auto pos = address.find(':'); - RAY_CHECK(pos != std::string::npos); - bootstrap_ip = address.substr(0, pos); - auto ret = std::from_chars( - address.data() + pos + 1, address.data() + address.size(), bootstrap_port); +void ConfigInternal::SetBootstrapAddress(std::string_view bootstrap_address) { + auto ip_and_port = ParseAddress(std::string(bootstrap_address)); + RAY_CHECK(ip_and_port.has_value()); + + bootstrap_ip = (*ip_and_port)[0]; + auto ret = std::from_chars((*ip_and_port)[1].data(), + (*ip_and_port)[1].data() + (*ip_and_port)[1].size(), + bootstrap_port); RAY_CHECK(ret.ec == std::errc()); } diff --git a/cpp/src/ray/test/cluster/cluster_mode_test.cc b/cpp/src/ray/test/cluster/cluster_mode_test.cc index 84f86e6383bc..2e7d2ff9a31a 100644 --- a/cpp/src/ray/test/cluster/cluster_mode_test.cc +++ b/cpp/src/ray/test/cluster/cluster_mode_test.cc @@ -22,6 +22,7 @@ #include "absl/flags/parse.h" #include "counter.h" #include "plus.h" +#include "ray/util/network_util.h" int cmd_argc = 0; char **cmd_argv = nullptr; @@ -73,7 +74,7 @@ TEST(RayClusterModeTest, FullTest) { std::string local_ip = ray::internal::GetNodeIpAddress(); ray::internal::ProcessHelper::GetInstance().StartRayNode( local_ip, port, username, password); - config.address = local_ip + ":" + std::to_string(port); + config.address = ray::BuildAddress(local_ip, port); config.redis_username_ = username; config.redis_password_ = password; } diff --git a/cpp/src/ray/util/process_helper.cc b/cpp/src/ray/util/process_helper.cc index 381cc7acabb8..25c691894d78 100644 --- a/cpp/src/ray/util/process_helper.cc +++ b/cpp/src/ray/util/process_helper.cc @@ -19,6 +19,7 @@ #include "ray/common/ray_config.h" #include "ray/util/cmd_line_utils.h" +#include "ray/util/network_util.h" #include "ray/util/process.h" #include "ray/util/util.h" #include "src/ray/protobuf/gcs.pb.h" @@ -91,7 +92,7 @@ void ProcessHelper::RayStart(CoreWorkerOptions::TaskExecutionCallback callback) ConfigInternal::Instance().head_args); } - std::string bootstrap_address = bootstrap_ip + ":" + std::to_string(bootstrap_port); + std::string bootstrap_address = BuildAddress(bootstrap_ip, bootstrap_port); std::string node_ip = ConfigInternal::Instance().node_ip_address; if (node_ip.empty()) { if (!bootstrap_ip.empty()) { diff --git a/cpp/src/ray/util/util.cc b/cpp/src/ray/util/util.cc index cf39138b4a72..003451b79ffd 100644 --- a/cpp/src/ray/util/util.cc +++ b/cpp/src/ray/util/util.cc @@ -19,19 +19,19 @@ #include "ray/common/constants.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" namespace ray { namespace internal { std::string GetNodeIpAddress(const std::string &address) { - std::vector parts; - boost::split(parts, address, boost::is_any_of(":")); - RAY_CHECK(parts.size() == 2); + auto parts = ParseAddress(address); + RAY_CHECK(parts.has_value()); try { boost::asio::io_service netService; boost::asio::ip::udp::resolver resolver(netService); boost::asio::ip::udp::resolver::query query( - boost::asio::ip::udp::v4(), parts[0], parts[1]); + boost::asio::ip::udp::v4(), (*parts)[0], (*parts)[1]); boost::asio::ip::udp::resolver::iterator endpoints = resolver.resolve(query); boost::asio::ip::udp::endpoint ep = *endpoints; boost::asio::ip::udp::socket socket(netService); diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 09436db9e2f8..3e8d6d22f866 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -17,11 +17,11 @@ ray_cc_library( deps = [ ":asio", ":id", - ":network_util", ":ray_object", "//src/ray/protobuf:common_cc_proto", "//src/ray/util", "//src/ray/util:cmd_line_utils", + "//src/ray/util:network_util", "//src/ray/util:path_utils", "@boost//:optional", "@com_google_googletest//:gtest", @@ -108,20 +108,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "network_util", - srcs = [ - "network_util.cc", - ], - hdrs = [ - "network_util.h", - ], - deps = [ - ":asio", - "@boost//:asio", - ], -) - ray_cc_library( name = "id", srcs = [ diff --git a/src/ray/common/network_util.cc b/src/ray/common/network_util.cc deleted file mode 100644 index 4c943b07b038..000000000000 --- a/src/ray/common/network_util.cc +++ /dev/null @@ -1,31 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/network_util.h" - -#include - -#include "ray/common/asio/instrumented_io_context.h" - -using boost::asio::ip::tcp; - -bool CheckPortFree(int port) { - instrumented_io_context io_service; - tcp::socket socket(io_service); - socket.open(boost::asio::ip::tcp::v4()); - boost::system::error_code ec; - socket.bind(boost::asio::ip::tcp::endpoint(boost::asio::ip::tcp::v4(), port), ec); - socket.close(); - return !ec.failed(); -} diff --git a/src/ray/common/network_util.h b/src/ray/common/network_util.h deleted file mode 100644 index 2d0199a5c959..000000000000 --- a/src/ray/common/network_util.h +++ /dev/null @@ -1,19 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -// Check whether the given [port] is available, via attempt to bind a socket to the port. -// Notice, the check could be non-authentic if there're concurrent port assignments. -bool CheckPortFree(int port); diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/test/BUILD.bazel index 4953b1d3d6be..ca25a451e3ea 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/test/BUILD.bazel @@ -52,6 +52,7 @@ ray_cc_test( "//:ray_mock_syncer", "//src/ray/common:ray_syncer", "//src/ray/rpc:grpc_server", + "//src/ray/util:network_util", "//src/ray/util:path_utils", "@com_github_grpc_grpc//:grpc++", "@com_google_googletest//:gtest", @@ -121,6 +122,7 @@ ray_cc_binary( srcs = ["syncer_service_e2e_test.cc"], deps = [ "//src/ray/common:ray_syncer", + "//src/ray/util:network_util", ], ) diff --git a/src/ray/common/test/ray_syncer_test.cc b/src/ray/common/test/ray_syncer_test.cc index 8e413dfed107..6b8757f5e080 100644 --- a/src/ray/common/test/ray_syncer_test.cc +++ b/src/ray/common/test/ray_syncer_test.cc @@ -32,6 +32,7 @@ #include "ray/common/ray_syncer/ray_syncer_client.h" #include "ray/common/ray_syncer/ray_syncer_server.h" #include "ray/rpc/grpc_server.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" using namespace std::chrono; @@ -222,7 +223,7 @@ struct SyncerServerTest { io_context, node_id.Binary(), std::move(ray_sync_observer)); thread = std::make_unique([this] { io_context.run(); }); - auto server_address = std::string("0.0.0.0:") + port; + auto server_address = BuildAddress("0.0.0.0", port); grpc::ServerBuilder builder; service = std::make_unique(*syncer); builder.AddListeningPort(server_address, grpc::InsecureServerCredentials()); @@ -415,7 +416,7 @@ std::shared_ptr MakeChannel(std::string port) { argument.SetMaxReceiveMessageSize(::RayConfig::instance().max_grpc_message_size()); return grpc::CreateCustomChannel( - "localhost:" + port, grpc::InsecureChannelCredentials(), argument); + BuildAddress("localhost", port), grpc::InsecureChannelCredentials(), argument); } using TClusterView = absl::flat_hash_map< diff --git a/src/ray/common/test/syncer_service_e2e_test.cc b/src/ray/common/test/syncer_service_e2e_test.cc index 75d3dc0856c1..650a6fed0e47 100644 --- a/src/ray/common/test/syncer_service_e2e_test.cc +++ b/src/ray/common/test/syncer_service_e2e_test.cc @@ -26,6 +26,7 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" +#include "ray/util/network_util.h" using namespace std; using namespace ray::syncer; using ray::PeriodicalRunner; @@ -109,7 +110,7 @@ int main(int argc, char *argv[]) { ray::rpc::syncer::MessageType::RESOURCE_VIEW, local_node.get(), remote_node.get()); if (server_port != ".") { RAY_LOG(INFO) << "Start server on port " << server_port; - auto server_address = "0.0.0.0:" + server_port; + auto server_address = BuildAddress("0.0.0.0", server_port); service = std::make_unique(syncer); builder.AddListeningPort(server_address, grpc::InsecureServerCredentials()); builder.RegisterService(service.get()); @@ -122,8 +123,9 @@ int main(int argc, char *argv[]) { argument.SetMaxSendMessageSize(::RayConfig::instance().max_grpc_message_size()); argument.SetMaxReceiveMessageSize(::RayConfig::instance().max_grpc_message_size()); - channel = grpc::CreateCustomChannel( - "localhost:" + leader_port, grpc::InsecureChannelCredentials(), argument); + channel = grpc::CreateCustomChannel(BuildAddress("localhost", leader_port), + grpc::InsecureChannelCredentials(), + argument); syncer.Connect(ray::NodeID::FromRandom().Binary(), channel); } diff --git a/src/ray/common/test_util.cc b/src/ray/common/test_util.cc index 5cec6f3c504c..9e01d6f33bb8 100644 --- a/src/ray/common/test_util.cc +++ b/src/ray/common/test_util.cc @@ -19,13 +19,13 @@ #include "absl/strings/escaping.h" #include "ray/common/buffer.h" -#include "ray/common/network_util.h" #include "ray/common/ray_config.h" #include "ray/common/ray_object.h" #include "ray/common/test_util.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/filesystem.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/util.h" diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 1c1b8ef4db9d..4dd8d48262a4 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -46,6 +46,7 @@ ray_cc_library( "//src/ray/util:env", "//src/ray/util:event", "//src/ray/util:mutex_protected", + "//src/ray/util:network_util", "//src/ray/util:path_utils", "//src/ray/util:process", "//src/ray/util:shared_lru", @@ -187,6 +188,7 @@ ray_cc_library( "//src/ray/rpc:core_worker_client", "//src/ray/rpc:grpc_server", "//src/ray/util:logging", + "//src/ray/util:network_util", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 491dbdf03fe8..e02a8d7ac23b 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -38,6 +38,7 @@ #include "ray/util/container_util.h" #include "ray/util/env.h" #include "ray/util/event.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/stream_redirection.h" @@ -265,8 +266,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( rpc_address.set_raylet_id(local_raylet_id.Binary()); rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); RAY_LOG(INFO).WithField(worker_context->GetWorkerID()).WithField(local_raylet_id) - << "Initializing worker at address: " << rpc_address.ip_address() << ":" - << rpc_address.port(); + << "Initializing worker at address: " + << BuildAddress(rpc_address.ip_address(), rpc_address.port()); auto gcs_client = std::make_shared(options.gcs_options, worker_context->GetWorkerID()); diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index cf0ccbbb3f07..0e8e842ffc8d 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -21,6 +21,8 @@ #include #include +#include "ray/util/network_util.h" + #define PRINT_REF_COUNT(it) \ RAY_LOG(DEBUG) << "REF " << it->first << ": " << it->second.DebugString(); @@ -1055,8 +1057,8 @@ void ReferenceCounter::MergeRemoteBorrowers(const ObjectID &object_id, RAY_LOG(DEBUG) .WithField(WorkerID::FromBinary(worker_addr.worker_id())) .WithField(object_id) - << "Adding borrower " << worker_addr.ip_address() << ":" << worker_addr.port() - << " to object"; + << "Adding borrower " + << BuildAddress(worker_addr.ip_address(), worker_addr.port()) << " to object"; new_borrowers.push_back(worker_addr); } } @@ -1068,8 +1070,9 @@ void ReferenceCounter::MergeRemoteBorrowers(const ObjectID &object_id, RAY_LOG(DEBUG) .WithField(WorkerID::FromBinary(nested_borrower.worker_id())) .WithField(object_id) - << "Adding borrower " << nested_borrower.ip_address() << ":" - << nested_borrower.port() << " to object"; + << "Adding borrower " + << BuildAddress(nested_borrower.ip_address(), nested_borrower.port()) + << " to object"; new_borrowers.push_back(nested_borrower); } } @@ -1221,8 +1224,9 @@ void ReferenceCounter::AddNestedObjectIdsInternal(const ObjectID &object_id, // from a task, and the task's caller executed in a remote process. for (const auto &inner_id : inner_ids) { RAY_LOG(DEBUG).WithField(inner_id) - << "Adding borrower " << owner_address.ip_address() << ":" - << owner_address.port() << " to object, borrower owns outer ID " << object_id; + << "Adding borrower " + << BuildAddress(owner_address.ip_address(), owner_address.port()) + << " to object, borrower owns outer ID " << object_id; auto inner_it = object_id_refs_.find(inner_id); if (inner_it == object_id_refs_.end()) { inner_it = object_id_refs_.emplace(inner_id, Reference()).first; diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index b58e4cbe278f..8c2d190bd421 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -19,6 +19,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/stats:stats_lib", "//src/ray/util:exponential_backoff", + "//src/ray/util:network_util", "@boost//:asio", ], ) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index ca4af158ef9f..3d78c1f66247 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -20,6 +20,7 @@ ray_cc_library( "//src/ray/pubsub:subscriber", "//src/ray/rpc:gcs_client", "//src/ray/util:container_util", + "//src/ray/util:network_util", "//src/ray/util:sequencer", ], ) diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs/gcs_client/gcs_client.cc index d760c2c6e2c9..a26fe77180ca 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs/gcs_client/gcs_client.cc @@ -26,6 +26,7 @@ #include "ray/common/ray_config.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/pubsub/subscriber.h" +#include "ray/util/network_util.h" namespace ray { namespace gcs { @@ -161,8 +162,8 @@ Status GcsClient::Connect(instrumented_io_context &io_service, int64_t timeout_m autoscaler_state_accessor_ = std::make_unique(this); publisher_accessor_ = std::make_unique(this); - RAY_LOG(DEBUG) << "GcsClient connected " << options_.gcs_address_ << ":" - << options_.gcs_port_; + RAY_LOG(DEBUG) << "GcsClient connected " + << BuildAddress(options_.gcs_address_, options_.gcs_port_); if (options_.should_fetch_cluster_id_) { RAY_RETURN_NOT_OK(FetchClusterId(timeout_ms)); diff --git a/src/ray/gcs/gcs_client/gcs_client.h b/src/ray/gcs/gcs_client/gcs_client.h index 59d99b178e3f..eb088f3f7564 100644 --- a/src/ray/gcs/gcs_client/gcs_client.h +++ b/src/ray/gcs/gcs_client/gcs_client.h @@ -32,6 +32,7 @@ #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" namespace ray { @@ -65,11 +66,11 @@ class GcsClientOptions { : cluster_id_(cluster_id), should_fetch_cluster_id_(ShouldFetchClusterId( cluster_id, allow_cluster_id_nil, fetch_cluster_id_if_nil)) { - std::vector address = absl::StrSplit(gcs_address, ':'); + auto address = ParseAddress(gcs_address); RAY_LOG(DEBUG) << "Connect to gcs server via address: " << gcs_address; - RAY_CHECK(address.size() == 2); - gcs_address_ = address[0]; - gcs_port_ = std::stoi(address[1]); + RAY_CHECK(address.has_value()); + gcs_address_ = (*address)[0]; + gcs_port_ = std::stoi((*address)[1]); } GcsClientOptions() {} diff --git a/src/ray/gcs/gcs_client/test/BUILD.bazel b/src/ray/gcs/gcs_client/test/BUILD.bazel index 021cdd0d56e5..842853c628cf 100644 --- a/src/ray/gcs/gcs_client/test/BUILD.bazel +++ b/src/ray/gcs/gcs_client/test/BUILD.bazel @@ -61,6 +61,7 @@ ray_cc_test( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/util:network_util", "@com_google_googletest//:gtest_main", ], ) @@ -86,6 +87,7 @@ ray_cc_test( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/util:network_util", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc index f7ed23c5ee4e..fd828cb27aa4 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc @@ -27,6 +27,7 @@ #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/util.h" @@ -70,7 +71,7 @@ class GcsClientReconnectionTest : public ::testing::Test { bool CheckHealth() { auto channel = - grpc::CreateChannel(absl::StrCat("127.0.0.1:", config_.grpc_server_port), + grpc::CreateChannel(BuildAddress("127.0.0.1", config_.grpc_server_port), grpc::InsecureChannelCredentials()); auto stub = grpc::health::v1::Health::NewStub(channel); grpc::ClientContext context; diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 43e9219b044a..7735f1264927 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_server/gcs_server.h" #include "ray/gcs/test/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/util.h" @@ -159,7 +160,7 @@ class GcsClientTest : public ::testing::TestWithParam { } while (true) { auto channel = - grpc::CreateChannel(absl::StrCat("127.0.0.1:", gcs_server_->GetPort()), + grpc::CreateChannel(BuildAddress("127.0.0.1", gcs_server_->GetPort()), grpc::InsecureChannelCredentials()); auto stub = rpc::NodeInfoGcsService::NewStub(std::move(channel)); grpc::ClientContext context; @@ -435,7 +436,7 @@ TEST_P(GcsClientTest, TestCheckAlive) { node_info2->set_node_manager_address("172.1.2.4"); node_info2->set_node_manager_port(31293); - auto channel = grpc::CreateChannel(absl::StrCat("127.0.0.1:", gcs_server_->GetPort()), + auto channel = grpc::CreateChannel(BuildAddress("127.0.0.1", gcs_server_->GetPort()), grpc::InsecureChannelCredentials()); auto stub = rpc::NodeInfoGcsService::NewStub(std::move(channel)); rpc::CheckAliveRequest request; @@ -932,7 +933,7 @@ TEST_P(GcsClientTest, TestGcsEmptyAuth) { RayConfig::instance().initialize(R"({"enable_cluster_auth": true})"); // Restart GCS. RestartGcsServer(); - auto channel = grpc::CreateChannel(absl::StrCat("127.0.0.1:", gcs_server_->GetPort()), + auto channel = grpc::CreateChannel(BuildAddress("127.0.0.1", gcs_server_->GetPort()), grpc::InsecureChannelCredentials()); auto stub = rpc::NodeInfoGcsService::NewStub(std::move(channel)); grpc::ClientContext context; diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 94031a18cc27..179b54c35b3d 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -253,6 +253,7 @@ ray_cc_library( "//src/ray/rpc:gcs_server", "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", + "//src/ray/util:network_util", "//src/ray/util:thread_checker", "//src/ray/util:throttler", "//src/ray/util:type_traits", diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index d8c1a0d8a174..15eb35c606fa 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -31,6 +31,7 @@ #include "ray/gcs/gcs_server/gcs_worker_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/pubsub/publisher.h" +#include "ray/util/network_util.h" #include "ray/util/util.h" namespace ray { @@ -548,8 +549,8 @@ void GcsServer::InitGcsPlacementGroupManager(const GcsInitData &gcs_init_data) { GcsServer::StorageType GcsServer::GetStorageType() const { if (RayConfig::instance().gcs_storage() == kInMemoryStorage) { if (!config_.redis_address.empty()) { - RAY_LOG(INFO) << "Using external Redis for KV storage: " << config_.redis_address - << ":" << config_.redis_port; + RAY_LOG(INFO) << "Using external Redis for KV storage: " + << BuildAddress(config_.redis_address, config_.redis_port); return StorageType::REDIS_PERSIST; } return StorageType::IN_MEMORY; diff --git a/src/ray/gcs/gcs_server/test/BUILD.bazel b/src/ray/gcs/gcs_server/test/BUILD.bazel index b635158c3357..aa110ed7ae24 100644 --- a/src/ray/gcs/gcs_server/test/BUILD.bazel +++ b/src/ray/gcs/gcs_server/test/BUILD.bazel @@ -97,6 +97,7 @@ ray_cc_test( ], deps = [ "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/util:network_util", "@boost//:thread", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc index e1fc0202753f..8ca66a12522f 100644 --- a/src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc @@ -35,6 +35,7 @@ using namespace boost::asio::ip; // NOLINT #include "gtest/gtest.h" #include "ray/gcs/gcs_server/gcs_health_check_manager.h" +#include "ray/util/network_util.h" int GetFreePort() { io_context io_service; @@ -89,7 +90,7 @@ class GcsHealthCheckManagerTest : public ::testing::Test { RAY_LOG(INFO) << "Get port " << port; auto server = std::make_shared(node_id.Hex(), port, true); - auto channel = grpc::CreateChannel("localhost:" + std::to_string(port), + auto channel = grpc::CreateChannel(BuildAddress("localhost", port), grpc::InsecureChannelCredentials()); server->Run(); if (alive) { diff --git a/src/ray/gcs/redis_context.cc b/src/ray/gcs/redis_context.cc index 3919fe6b04b3..fb684bbd8db6 100644 --- a/src/ray/gcs/redis_context.cc +++ b/src/ray/gcs/redis_context.cc @@ -22,6 +22,7 @@ #include "ray/common/asio/asio_util.h" #include "ray/stats/metric_defs.h" +#include "ray/util/network_util.h" #include "ray/util/util.h" extern "C" { @@ -355,7 +356,7 @@ ConnectWithoutRetries(const std::string &address, if (newContext == nullptr) { oss << "Could not allocate Redis context."; } else if (newContext->err) { - oss << "Could not establish connection to Redis " << address << ":" << port + oss << "Could not establish connection to Redis " << BuildAddress(address, port) << " (context.err = " << newContext->err << ")."; } return std::make_pair(Status::RedisError(oss.str()), nullptr); @@ -370,7 +371,8 @@ std::pair> ConnectWithRetries(const std::string &address, int port, const RedisConnectFunctionType &connect_function) { - RAY_LOG(INFO) << "Attempting to connect to address " << address << ":" << port << "."; + RAY_LOG(INFO) << "Attempting to connect to address " << BuildAddress(address, port) + << "."; int connection_attempts = 0; auto resp = ConnectWithoutRetries(address, port, connect_function); auto status = resp.first; @@ -405,9 +407,9 @@ std::optional> ParseIffMovedError( return std::nullopt; } RAY_CHECK_EQ(parts.size(), 3u); - std::vector ip_port = absl::StrSplit(parts[2], ":"); - RAY_CHECK_EQ(ip_port.size(), 2u); - return std::make_pair(ip_port[0], std::stoi(ip_port[1])); + auto ip_port = ParseAddress(parts[2]); + RAY_CHECK(ip_port.has_value()); + return std::make_pair((*ip_port)[0], std::stoi((*ip_port)[1])); } } // namespace @@ -494,7 +496,7 @@ Status RedisContext::ConnectRedisCluster(const std::string &username, Disconnect(); const auto &[ip, port] = maybe_ip_port.value(); // Connect to the true leader. - RAY_LOG(INFO) << "Redis cluster leader is " << ip << ":" << port + RAY_LOG(INFO) << "Redis cluster leader is " << BuildAddress(ip, port) << ". Reconnect to it."; return Connect(ip, port, username, password, enable_ssl); } else { @@ -556,8 +558,8 @@ Status ConnectRedisSentinel(RedisContext &context, return Status::RedisError( "Failed to get the ip and port of the primary node from Redis sentinel"); } else { - RAY_LOG(INFO) << "Connecting to the Redis primary node behind sentinel: " << actual_ip - << ":" << actual_port; + RAY_LOG(INFO) << "Connecting to the Redis primary node behind sentinel: " + << BuildAddress(actual_ip, actual_port); context.Disconnect(); return context.Connect( actual_ip, std::stoi(actual_port), username, password, enable_ssl); @@ -604,7 +606,7 @@ Status RedisContext::Connect(const std::string &address, // addresses and only the first one will be used. auto ip_addresses = ResolveDNS(io_service_, address, port); RAY_CHECK(!ip_addresses.empty()) - << "Failed to resolve DNS for " << address << ":" << port; + << "Failed to resolve DNS for " << BuildAddress(address, port); RAY_LOG(INFO) << "Resolve Redis address to " << absl::StrJoin(ip_addresses, ", "); @@ -644,7 +646,7 @@ Status RedisContext::Connect(const std::string &address, return ConnectRedisSentinel(*this, username, password, enable_ssl); } else { return ConnectRedisCluster( - username, password, enable_ssl, ip_addresses[0] + ":" + std::to_string(port)); + username, password, enable_ssl, BuildAddress(ip_addresses[0], port)); } } diff --git a/src/ray/pubsub/test/BUILD.bazel b/src/ray/pubsub/test/BUILD.bazel index 4d323d7c3bef..0f19f2b7f356 100644 --- a/src/ray/pubsub/test/BUILD.bazel +++ b/src/ray/pubsub/test/BUILD.bazel @@ -33,6 +33,7 @@ ray_cc_test( "//src/ray/protobuf:pubsub_cc_grpc", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", + "//src/ray/util:network_util", "@com_google_absl//absl/synchronization", "@com_google_absl//absl/time", "@com_google_googletest//:gtest_main", diff --git a/src/ray/pubsub/test/integration_test.cc b/src/ray/pubsub/test/integration_test.cc index 62ec12c50d15..6884b46b64a2 100644 --- a/src/ray/pubsub/test/integration_test.cc +++ b/src/ray/pubsub/test/integration_test.cc @@ -28,6 +28,7 @@ #include "ray/common/grpc_util.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" +#include "ray/util/network_util.h" #include "src/ray/protobuf/pubsub.grpc.pb.h" #include "src/ray/protobuf/pubsub.pb.h" @@ -194,7 +195,7 @@ class IntegrationTest : public ::testing::Test { /*get_client=*/ [](const rpc::Address &address) { return std::make_shared( - absl::StrCat(address.ip_address(), ":", address.port())); + BuildAddress(address.ip_address(), address.port())); }, io_service_.Get()); } diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 857010c2ba17..b20f7d920404 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -108,7 +108,6 @@ ray_cc_library( ":runtime_env_agent_client", ":worker", "//src/ray/common:constants", - "//src/ray/common:network_util", "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", @@ -116,6 +115,7 @@ ray_cc_library( "//src/ray/core_worker:core_worker_common", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", + "//src/ray/util:network_util", "@boost//:system", "@com_google_absl//absl/strings", ], @@ -239,6 +239,7 @@ ray_cc_library( "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:container_util", + "//src/ray/util:network_util", "//src/ray/util:throttler", "@boost//:system", "@com_google_absl//absl/base:core_headers", @@ -260,6 +261,7 @@ ray_cc_library( ":node_manager", "//src/ray/common:asio", "//src/ray/object_manager", + "//src/ray/util:network_util", "@boost//:asio", ], ) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index b71971a78370..ac8cfb4732f5 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -50,6 +50,7 @@ #include "ray/stats/metric_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" +#include "ray/util/network_util.h" #include "ray/util/util.h" namespace { @@ -1423,8 +1424,9 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie RAY_EVENT(ERROR, "RAY_DRIVER_FAILURE") .WithField("node_id", self_node_id_.Hex()) .WithField("job_id", worker->GetAssignedJobId().Hex()) - << "Driver " << worker->WorkerId() << " died. Address: " << worker->IpAddress() - << ":" << worker->Port() << ", Pid: " << worker->GetProcess().GetId() + << "Driver " << worker->WorkerId() + << " died. Address: " << BuildAddress(worker->IpAddress(), worker->Port()) + << ", Pid: " << worker->GetProcess().GetId() << ", JobId: " << worker->GetAssignedJobId(); } } diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index 743b52df3de9..22978ad459a5 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -28,6 +28,7 @@ #include "ray/ipc/client_connection.h" #include "ray/object_manager/object_manager.h" #include "ray/object_manager/ownership_object_directory.h" +#include "ray/util/network_util.h" #include "ray/util/util.h" namespace { @@ -134,10 +135,12 @@ void Raylet::RegisterGcs() { RAY_CHECK_OK(status); RAY_LOG(INFO) << "Raylet of id, " << self_node_id_ << " started. Raylet consists of node_manager and object_manager." - << " node_manager address: " << self_node_info_.node_manager_address() - << ":" << self_node_info_.node_manager_port() - << " object_manager address: " << self_node_info_.node_manager_address() - << ":" << self_node_info_.object_manager_port() + << " node_manager address: " + << BuildAddress(self_node_info_.node_manager_address(), + self_node_info_.node_manager_port()) + << " object_manager address: " + << BuildAddress(self_node_info_.node_manager_address(), + self_node_info_.object_manager_port()) << " hostname: " << self_node_info_.node_manager_hostname(); node_manager_.RegisterGcs(); }; diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index ddb7e929a7cf..5e3480c04a99 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -28,7 +28,6 @@ #include "absl/strings/str_split.h" #include "ray/common/constants.h" -#include "ray/common/network_util.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/status.h" @@ -37,6 +36,7 @@ #include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" #include "ray/util/util.h" DEFINE_stats(worker_register_time_ms, diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 21229ed7d8f6..56862a098eaf 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -31,6 +31,7 @@ ray_cc_library( "//src/ray/common:grpc_util", "//src/ray/common:ray_config", "//src/ray/common:status", + "//src/ray/util:network_util", ], ) @@ -57,6 +58,7 @@ ray_cc_library( "//src/ray/protobuf:reporter_cc_grpc", "//src/ray/protobuf:reporter_cc_proto", "//src/ray/util:logging", + "//src/ray/util:network_util", "@com_github_grpc_grpc//:grpc++", ], ) @@ -112,6 +114,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:ray_config", "//src/ray/common:status", + "//src/ray/util:network_util", "//src/ray/util:thread_utils", "@com_github_grpc_grpc//:grpc++", "@com_github_grpc_grpc//:grpc++_reflection", @@ -139,6 +142,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:node_manager_cc_grpc", + "//src/ray/util:network_util", ] + [ # TODO(eoakes): these three come from raylet_client.h, remove after breaking the circular dependency. "//src/ray/ipc:client_connection", @@ -173,6 +177,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/util:network_util", "@com_google_absl//absl/container:btree", ], ) @@ -247,6 +252,7 @@ ray_cc_library( "//src/ray/pubsub:subscriber", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/util:logging", + "//src/ray/util:network_util", "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", ], diff --git a/src/ray/rpc/gcs/gcs_rpc_client.h b/src/ray/rpc/gcs/gcs_rpc_client.h index b5bf701ede0c..cd804f1fac41 100644 --- a/src/ray/rpc/gcs/gcs_rpc_client.h +++ b/src/ray/rpc/gcs/gcs_rpc_client.h @@ -25,6 +25,7 @@ #include "absl/container/btree_map.h" #include "ray/common/grpc_util.h" #include "ray/rpc/retryable_grpc_client.h" +#include "ray/util/network_util.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" @@ -151,8 +152,8 @@ class GcsRpcClient { std::chrono::system_clock::now() + std::chrono::seconds(::RayConfig::instance().gcs_rpc_server_connect_timeout_s()); if (!channel_->WaitForConnected(deadline)) { - RAY_LOG(WARNING) << "Failed to connect to GCS at address " << address << ":" << port - << " within " + RAY_LOG(WARNING) << "Failed to connect to GCS at address " + << BuildAddress(address, port) << " within " << ::RayConfig::instance().gcs_rpc_server_connect_timeout_s() << " seconds."; } diff --git a/src/ray/rpc/grpc_client.h b/src/ray/rpc/grpc_client.h index cf9204d896ba..279d14a4dca7 100644 --- a/src/ray/rpc/grpc_client.h +++ b/src/ray/rpc/grpc_client.h @@ -27,6 +27,7 @@ #include "ray/rpc/client_call.h" #include "ray/rpc/common.h" #include "ray/rpc/rpc_chaos.h" +#include "ray/util/network_util.h" namespace ray { namespace rpc { @@ -82,12 +83,11 @@ inline std::shared_ptr BuildChannel( ssl_opts.pem_private_key = private_key; ssl_opts.pem_cert_chain = server_cert_chain; auto ssl_creds = grpc::SslCredentials(ssl_opts); - channel = grpc::CreateCustomChannel( - address + ":" + std::to_string(port), ssl_creds, *arguments); + channel = + grpc::CreateCustomChannel(BuildAddress(address, port), ssl_creds, *arguments); } else { - channel = grpc::CreateCustomChannel(address + ":" + std::to_string(port), - grpc::InsecureChannelCredentials(), - *arguments); + channel = grpc::CreateCustomChannel( + BuildAddress(address, port), grpc::InsecureChannelCredentials(), *arguments); } return channel; } diff --git a/src/ray/rpc/grpc_server.cc b/src/ray/rpc/grpc_server.cc index 2450c6850695..047ff734e94b 100644 --- a/src/ray/rpc/grpc_server.cc +++ b/src/ray/rpc/grpc_server.cc @@ -26,6 +26,7 @@ #include "ray/common/ray_config.h" #include "ray/rpc/common.h" +#include "ray/util/network_util.h" #include "ray/util/thread_utils.h" namespace ray { @@ -61,8 +62,8 @@ void GrpcServer::Shutdown() { void GrpcServer::Run() { uint32_t specified_port = port_; - std::string server_address((listen_to_localhost_only_ ? "127.0.0.1:" : "0.0.0.0:") + - std::to_string(port_)); + std::string server_address = + BuildAddress((listen_to_localhost_only_ ? "127.0.0.1" : "0.0.0.0"), port_); grpc::ServerBuilder builder; // Disable the SO_REUSEPORT option. We don't need it in ray. If the option is enabled // (default behavior in grpc), we may see multiple workers listen on the same port and diff --git a/src/ray/rpc/metrics_agent_client.h b/src/ray/rpc/metrics_agent_client.h index 9ed171255e01..9af5cf290c80 100644 --- a/src/ray/rpc/metrics_agent_client.h +++ b/src/ray/rpc/metrics_agent_client.h @@ -23,6 +23,7 @@ #include "ray/common/status.h" #include "ray/rpc/grpc_client.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" #include "src/ray/protobuf/reporter.grpc.pb.h" #include "src/ray/protobuf/reporter.pb.h" @@ -52,8 +53,8 @@ class MetricsAgentClientImpl : public MetricsAgentClient { const int port, instrumented_io_context &io_service) : client_call_manager_(io_service, /*record_stats=*/true) { - RAY_LOG(DEBUG) << "Initiate the metrics client of address:" << address - << " port:" << port; + RAY_LOG(DEBUG) << "Initiate the metrics client of address:" + << BuildAddress(address, port); grpc_client_ = std::make_unique>( address, port, client_call_manager_); }; diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc index 1b72304655bb..bd37718b5e55 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -18,6 +18,8 @@ #include #include +#include "ray/util/util.h" + namespace ray { namespace rpc { @@ -90,8 +92,8 @@ std::shared_ptr RayletClientPool::GetOrConnectByAddr auto connection = client_factory_(address); client_map_[raylet_id] = connection; - RAY_LOG(DEBUG) << "Connected to raylet " << raylet_id << " at " << address.ip_address() - << ":" << address.port(); + RAY_LOG(DEBUG) << "Connected to raylet " << raylet_id << " at " + << BuildAddress(address.ip_address(), address.port()); RAY_CHECK(connection != nullptr); return connection; } diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 7322fb293234..99df4075a900 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -19,6 +19,8 @@ #include #include +#include "ray/util/network_util.h" + namespace ray { namespace rpc { @@ -135,7 +137,7 @@ std::shared_ptr CoreWorkerClientPool::GetOrConnect( node_clients_map_[node_id][worker_id] = client_list_.begin(); RAY_LOG(DEBUG) << "Connected to worker " << worker_id << " with address " - << addr_proto.ip_address() << ":" << addr_proto.port(); + << BuildAddress(addr_proto.ip_address(), addr_proto.port()); return entry.core_worker_client; } diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index a913b78e5a69..4a088305a22b 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -50,6 +50,7 @@ ray_cc_library( deps = [ ":stats_metric", "//src/ray/rpc:metrics_agent_client", + "//src/ray/util:network_util", "//src/ray/util:size_literals", "@com_github_grpc_grpc//:grpc_opencensus_plugin", ], diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index a32ab8d01944..3bdadbe51f23 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -32,6 +32,7 @@ #include "ray/stats/metric_exporter.h" #include "ray/telemetry/open_telemetry_metric_recorder.h" #include "ray/util/logging.h" +#include "ray/util/network_util.h" namespace ray { @@ -85,7 +86,7 @@ static inline void Init( // Register the metric recorder. if (RayConfig::instance().experimental_enable_open_telemetry_on_core()) { OpenTelemetryMetricRecorder::GetInstance().RegisterGrpcExporter( - std::string("127.0.0.1:") + std::to_string(metrics_agent_port), + BuildAddress("127.0.0.1", metrics_agent_port), std::chrono::milliseconds( absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), std::chrono::milliseconds( diff --git a/src/ray/util/BUILD.bazel b/src/ray/util/BUILD.bazel index 34767363bda7..938a46b0b8d1 100644 --- a/src/ray/util/BUILD.bazel +++ b/src/ray/util/BUILD.bazel @@ -214,6 +214,16 @@ ray_cc_library( ], ) +ray_cc_library( + name = "network_util", + srcs = ["network_util.cc"], + hdrs = ["network_util.h"], + deps = [ + "@boost//:asio", + "@com_google_absl//absl/strings:str_format", + ], +) + # TODO(hjiang): Split URL related functions into a separate util target. ray_cc_library( name = "util", diff --git a/src/ray/util/network_util.cc b/src/ray/util/network_util.cc new file mode 100644 index 000000000000..1a3c8a9c65af --- /dev/null +++ b/src/ray/util/network_util.cc @@ -0,0 +1,74 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/util/network_util.h" + +#include +#include +#include +#include + +#include "absl/strings/str_format.h" + +using boost::asio::ip::tcp; + +namespace ray { + +std::string BuildAddress(const std::string &host, const std::string &port) { + if (host.find(':') != std::string::npos) { + // IPv6 address + return absl::StrFormat("[%s]:%s", host, port); + } else { + // IPv4 address or hostname + return absl::StrFormat("%s:%s", host, port); + } +} + +std::string BuildAddress(const std::string &host, int port) { + return BuildAddress(host, std::to_string(port)); +} + +std::optional> ParseAddress(const std::string &address) { + size_t pos = address.find_last_of(":"); + if (pos == std::string::npos) { + return std::nullopt; + } + + std::string host = address.substr(0, pos); + std::string port = address.substr(pos + 1); + + if (host.find(':') != std::string::npos) { + if (host.size() >= 2 && host.front() == '[' && host.back() == ']') { + host = host.substr(1, host.size() - 2); + } else { + // Invalid IPv6 (missing brackets) or colon is part of the address, not a host:port + // split. + return std::nullopt; + } + } + + return std::array{host, port}; +} + +bool CheckPortFree(int port) { + boost::asio::io_context io_service; + tcp::socket socket(io_service); + socket.open(tcp::v4()); + boost::system::error_code ec; + socket.bind(tcp::endpoint(tcp::v4(), port), ec); + socket.close(); + return !ec.failed(); +} + +} // namespace ray diff --git a/src/ray/util/network_util.h b/src/ray/util/network_util.h new file mode 100644 index 000000000000..5ca3b48bde45 --- /dev/null +++ b/src/ray/util/network_util.h @@ -0,0 +1,46 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +namespace ray { + +/// Build a network address string from host and port. +/// \param host The hostname or IP address. +/// \param port The port as a string. +/// \return Formatted address string (e.g., "localhost:8000" or "[::1]:8000"). +std::string BuildAddress(const std::string &host, const std::string &port); + +/// Build a network address string from host and port. +/// \param host The hostname or IP address. +/// \param port The port number. +/// \return Formatted address string (e.g., "localhost:8000" or "[::1]:8000"). +std::string BuildAddress(const std::string &host, int port); + +/// Parse a network address string into host and port. +/// \param address The address string to parse (e.g., "localhost:8000", "[::1]:8000"). +/// \return Optional array with [host, port] if port found, nullopt if no colon separator. +std::optional> ParseAddress(const std::string &address); + +/// Check whether the given port is available, via attempt to bind a socket to the port. +/// Notice, the check could be non-authentic if there're concurrent port assignments. +/// \param port The port number to check. +/// \return true if the port is available, false otherwise. +bool CheckPortFree(int port); + +} // namespace ray diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index 207a661f2b92..443b97190955 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -192,6 +192,17 @@ ray_cc_test( ], ) +ray_cc_test( + name = "network_util_test", + size = "small", + srcs = ["network_util_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/util:network_util", + "@com_google_googletest//:gtest_main", + ], +) + ray_cc_test( name = "proto_schema_backward_compatibility_test", size = "small", diff --git a/src/ray/util/tests/network_util_test.cc b/src/ray/util/tests/network_util_test.cc new file mode 100644 index 000000000000..f1033a574fb4 --- /dev/null +++ b/src/ray/util/tests/network_util_test.cc @@ -0,0 +1,77 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/util/network_util.h" + +#include "gtest/gtest.h" + +namespace ray { + +TEST(NetworkUtilTest, TestBuildAddress) { + // IPv4 + EXPECT_EQ(BuildAddress("192.168.1.1", 8080), "192.168.1.1:8080"); + EXPECT_EQ(BuildAddress("192.168.1.1", "8080"), "192.168.1.1:8080"); + + // IPv6 + EXPECT_EQ(BuildAddress("::1", 8080), "[::1]:8080"); + EXPECT_EQ(BuildAddress("::1", "8080"), "[::1]:8080"); + EXPECT_EQ(BuildAddress("2001:db8::1", 8080), "[2001:db8::1]:8080"); + EXPECT_EQ(BuildAddress("2001:db8::1", "8080"), "[2001:db8::1]:8080"); + + // Hostname + EXPECT_EQ(BuildAddress("localhost", 9000), "localhost:9000"); + EXPECT_EQ(BuildAddress("localhost", "9000"), "localhost:9000"); +} + +TEST(NetworkUtilTest, TestParseAddress) { + // IPv4 + auto result = ParseAddress("192.168.1.1:8080"); + ASSERT_TRUE(result.has_value()); + EXPECT_EQ((*result)[0], "192.168.1.1"); + EXPECT_EQ((*result)[1], "8080"); + + // IPv6:loopback address + result = ParseAddress("[::1]:8080"); + ASSERT_TRUE(result.has_value()); + EXPECT_EQ((*result)[0], "::1"); + EXPECT_EQ((*result)[1], "8080"); + + // IPv6 + result = ParseAddress("[2001:db8::1]:8080"); + ASSERT_TRUE(result.has_value()); + EXPECT_EQ((*result)[0], "2001:db8::1"); + EXPECT_EQ((*result)[1], "8080"); + + // Hostname:Port + result = ParseAddress("localhost:9000"); + ASSERT_TRUE(result.has_value()); + EXPECT_EQ((*result)[0], "localhost"); + EXPECT_EQ((*result)[1], "9000"); + + // bare IP or hostname + // should return nullopt when no port is found + result = ParseAddress("::1"); + ASSERT_FALSE(result.has_value()); + + result = ParseAddress("2001:db8::1"); + ASSERT_FALSE(result.has_value()); + + result = ParseAddress("192.168.1.1"); + ASSERT_FALSE(result.has_value()); + + result = ParseAddress("localhost"); + ASSERT_FALSE(result.has_value()); +} + +} // namespace ray From 8e853fb2596c44919b7eff31ec28ee70b98f9475 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 7 Aug 2025 15:44:55 -0700 Subject: [PATCH 0556/1566] [ci] updating expand operation to include append and override flags (#55383) updating missing append and override flags when calling expand func Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index facc82aaf32c..41f4e6382685 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -129,7 +129,8 @@ def execute_single(self, depset: Depset): depsets=depset.depsets, requirements=depset.requirements, constraints=depset.constraints, - args=DEFAULT_UV_FLAGS.copy(), + append_flags=depset.append_flags, + override_flags=depset.override_flags, name=depset.name, output=depset.output, ) From e30dbcc3a870a7829dab853089fb1ea806c204b9 Mon Sep 17 00:00:00 2001 From: Potato Date: Fri, 8 Aug 2025 07:07:31 +0800 Subject: [PATCH 0557/1566] [Ray Core] Use Ray Distributed Debugger rather than Ray Debugger (#55352) Ray Debugger is deprecated. --------- Signed-off-by: Potato Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index c4e999affbaa..28cb9a06f163 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1445,7 +1445,7 @@ def init( object store with. By default, this is 30% of available system memory capped by the shm size and 200G but can be set higher. - local_mode: Deprecated: consider using the Ray Debugger instead. + local_mode: Deprecated: consider using the Ray Distributed Debugger instead. ignore_reinit_error: If true, Ray suppresses errors from calling ray.init() a second time. Ray won't be restarted. include_dashboard: Boolean flag indicating whether or not to start the @@ -1761,7 +1761,7 @@ def sigterm_handler(signum, frame): warnings.warn( "DeprecationWarning: local mode is an experimental feature that is no " "longer maintained and will be removed in the future." - "For debugging consider using Ray debugger. ", + " For debugging consider using Ray Distributed Debugger. ", DeprecationWarning, stacklevel=2, ) From 37a657b0ece54d43157922f27e56c08daa7c967c Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 7 Aug 2025 16:19:54 -0700 Subject: [PATCH 0558/1566] [core][otel/12] implement recommended cardinality for otel (#54990) Signed-off-by: Cuong Nguyen Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/_private/metrics_agent.py | 38 ++-------- .../_private/telemetry/metric_cardinality.py | 62 ++++++++++++++++ .../open_telemetry_metric_recorder.py | 33 ++++++++- python/ray/tests/BUILD | 1 + .../test_aggregated_prometheus_metrics.py | 74 ++++++++++++++++--- python/ray/tests/test_metrics_agent_2.py | 26 +------ src/ray/stats/metric_defs.cc | 25 ++++--- src/ray/stats/tag_defs.cc | 3 +- 8 files changed, 180 insertions(+), 82 deletions(-) create mode 100644 python/ray/_private/telemetry/metric_cardinality.py diff --git a/python/ray/_private/metrics_agent.py b/python/ray/_private/metrics_agent.py index 3a43b38a0fc9..9c4d77bba7a6 100644 --- a/python/ray/_private/metrics_agent.py +++ b/python/ray/_private/metrics_agent.py @@ -6,7 +6,6 @@ import time import traceback from collections import defaultdict, namedtuple -from enum import Enum from typing import Any, Dict, List, Set, Tuple, Union from opencensus.metrics.export.metric_descriptor import MetricDescriptorType @@ -35,7 +34,11 @@ ) import ray -from ray._private.ray_constants import RAY_METRIC_CARDINALITY_LEVEL, env_bool +from ray._private.ray_constants import env_bool +from ray._private.telemetry.metric_cardinality import ( + WORKER_ID_TAG_KEY, + MetricCardinality, +) from ray._raylet import GcsClient from ray.core.generated.metrics_pb2 import Metric from ray.util.metrics import _is_invalid_metric_name @@ -48,8 +51,6 @@ RAY_WORKER_TIMEOUT_S = "RAY_WORKER_TIMEOUT_S" GLOBAL_COMPONENT_KEY = "CORE" RE_NON_ALPHANUMS = re.compile(r"[^a-zA-Z0-9]") -# Keep in sync with the WorkerIdKey in src/ray/stats/tag_defs.cc -WORKER_ID_TAG_KEY = "WorkerId" class Gauge(View): @@ -132,17 +133,6 @@ def fix_grpc_metric(metric: Metric): bucket_bounds[0] = 0.000_000_1 -class MetricCardinalityLevel(str, Enum): - """Cardinality level of the metric. - - This is used to determine the cardinality level of the metric. - The cardinality level is used to determine the type of the metric. - """ - - LEGACY = "legacy" - RECOMMENDED = "recommended" - - class OpencensusProxyMetric: def __init__(self, name: str, desc: str, unit: str, label_keys: List[str]): """Represents the OpenCensus metrics that will be proxy exported.""" @@ -494,20 +484,6 @@ def to_prometheus_metrics( else: raise ValueError(f"unsupported aggregation type {type(agg_data)}") - def _get_metric_cardinality_level_setting(self) -> str: - return RAY_METRIC_CARDINALITY_LEVEL.lower() - - def _get_metric_cardinality_level(self) -> MetricCardinalityLevel: - """Get the cardinality level of the core metric. - - This is used to determine set of metric labels. Some high cardinality labels - such as `WorkerId` and `Name` will be removed on low cardinality level. - """ - try: - return MetricCardinalityLevel(self._get_metric_cardinality_level_setting()) - except ValueError: - return MetricCardinalityLevel.LEGACY - def _aggregate_metric_data( self, datas: List[ @@ -608,11 +584,11 @@ def collect(self): # pragma: NO COVER to_lower_cardinality: Dict[str, List[OpencensusProxyMetric]] = defaultdict( list ) - cardinality_level = self._get_metric_cardinality_level() + cardinality_level = MetricCardinality.get_cardinality_level() for component in self._components.values(): for metric in component.metrics.values(): if ( - cardinality_level == MetricCardinalityLevel.RECOMMENDED + cardinality_level == MetricCardinality.RECOMMENDED and not metric.is_distribution_aggregation_data() ): # We reduce the cardinality for all metrics except for histogram diff --git a/python/ray/_private/telemetry/metric_cardinality.py b/python/ray/_private/telemetry/metric_cardinality.py new file mode 100644 index 000000000000..17a8c5ce6bbb --- /dev/null +++ b/python/ray/_private/telemetry/metric_cardinality.py @@ -0,0 +1,62 @@ +from enum import Enum +from typing import Dict, List + +from ray._private.ray_constants import RAY_METRIC_CARDINALITY_LEVEL + +# Keep in sync with the WorkerIdKey in src/ray/stats/tag_defs.cc +WORKER_ID_TAG_KEY = "WorkerId" +# Keep in sync with the NameKey in src/ray/stats/metric_defs.cc +TASK_OR_ACTOR_NAME_TAG_KEY = "Name" + +_CARDINALITY_LEVEL = None +_HIGH_CARDINALITY_LABELS: Dict[str, List[str]] = {} + + +class MetricCardinality(str, Enum): + """Cardinality level configuration for all Ray metrics (ray_tasks, ray_actors, + etc.). This configurtion is used to determine whether to globally drop high + cardinality labels. This is important for high scale clusters that might consist + thousands of workers, millions of tasks. + + - LEGACY: Keep all labels. This is the default behavior. + - RECOMMENDED: Drop high cardinality labels. The set of high cardinality labels + are determined internally by Ray and not exposed to users. Currently, this includes + the following labels: WorkerId + - LOW: Same as RECOMMENDED, but also drop the Name label for tasks and actors. + """ + + LEGACY = "legacy" + RECOMMENDED = "recommended" + LOW = "low" + + @staticmethod + def get_cardinality_level() -> "MetricCardinality": + global _CARDINALITY_LEVEL + if _CARDINALITY_LEVEL is not None: + return _CARDINALITY_LEVEL + try: + _CARDINALITY_LEVEL = MetricCardinality(RAY_METRIC_CARDINALITY_LEVEL.lower()) + except ValueError: + _CARDINALITY_LEVEL = MetricCardinality.LEGACY + return _CARDINALITY_LEVEL + + @staticmethod + def get_high_cardinality_labels_to_drop(metric_name: str) -> List[str]: + """ + Get the high cardinality labels of the metric. + """ + if metric_name in _HIGH_CARDINALITY_LABELS: + return _HIGH_CARDINALITY_LABELS[metric_name] + + cardinality_level = MetricCardinality.get_cardinality_level() + if cardinality_level == MetricCardinality.LEGACY: + _HIGH_CARDINALITY_LABELS[metric_name] = [] + return [] + + _HIGH_CARDINALITY_LABELS[metric_name] = [WORKER_ID_TAG_KEY] + if cardinality_level == MetricCardinality.LOW and metric_name in [ + "tasks", + "actors", + ]: + _HIGH_CARDINALITY_LABELS[metric_name].append(TASK_OR_ACTOR_NAME_TAG_KEY) + return _HIGH_CARDINALITY_LABELS[metric_name] diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index 59eed76010c7..3f8e64fbfe08 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -9,6 +9,7 @@ from opentelemetry.sdk.metrics import MeterProvider from ray._private.metrics_agent import Record +from ray._private.telemetry.metric_cardinality import MetricCardinality logger = logging.getLogger(__name__) @@ -45,10 +46,30 @@ def register_gauge_metric(self, name: str, description: str) -> None: def callback(options): # Take snapshot of current observations. with self._lock: - observations = self._observations_by_name[name].items() + observations = self._observations_by_name[name] + # Drop high cardinality from tag_set and sum up the value for + # same tag set after dropping + aggregated_observations = defaultdict(float) + high_cardinality_labels = ( + MetricCardinality.get_high_cardinality_labels_to_drop(name) + ) + for tag_set, val in observations.items(): + # Convert frozenset back to dict + tags_dict = dict(tag_set) + # Filter out high cardinality labels + filtered_tags = { + k: v + for k, v in tags_dict.items() + if k not in high_cardinality_labels + } + # Create a key for aggregation + filtered_key = frozenset(filtered_tags.items()) + # Sum up values for the same filtered tag set + aggregated_observations[filtered_key] += val + return [ Observation(val, attributes=dict(tag_set)) - for tag_set, val in observations + for tag_set, val in aggregated_observations.items() ] instrument = self.meter.create_observable_gauge( @@ -160,9 +181,13 @@ def set_metric_value(self, name: str, tags: dict, value: float): # the value actually gets exported by OpenTelemetry. self._observations_by_name[name][frozenset(tags.items())] = value else: - # Set the value of a synchronous metric with the given name and tags. - # It is a no-op if the metric is not registered. instrument = self._registered_instruments.get(name) + tags = { + k: v + for k, v in tags.items() + if k + not in MetricCardinality.get_high_cardinality_labels_to_drop(name) + } if isinstance(instrument, metrics.Counter): instrument.add(value, attributes=tags) elif isinstance(instrument, metrics.UpDownCounter): diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index efff661aaaeb..c6554d195fd7 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -86,6 +86,7 @@ py_test_module_list( "RAY_experimental_enable_open_telemetry_on_core": "1", }, files = [ + "test_aggregated_prometheus_metrics.py", "test_metrics_agent.py", ], name_suffix = "_open_telemetry", diff --git a/python/ray/tests/test_aggregated_prometheus_metrics.py b/python/ray/tests/test_aggregated_prometheus_metrics.py index 6630d486c98a..0b53cee0a61a 100644 --- a/python/ray/tests/test_aggregated_prometheus_metrics.py +++ b/python/ray/tests/test_aggregated_prometheus_metrics.py @@ -11,7 +11,10 @@ fetch_prometheus_metrics, wait_for_assertion, ) -from ray._private.metrics_agent import WORKER_ID_TAG_KEY +from ray._private.telemetry.metric_cardinality import ( + WORKER_ID_TAG_KEY, + TASK_OR_ACTOR_NAME_TAG_KEY, +) try: @@ -20,19 +23,29 @@ prometheus_client = None -_TO_TEST_METRICS = ["ray_tasks", "ray_actors"] +_TO_TEST_METRICS = ["ray_tasks", "ray_actors", "ray_running_jobs"] +_COMPONENT_TAG_KEY = "Component" @pytest.fixture def _setup_cluster_for_test(request, ray_start_cluster): + global _CARDINALITY_LEVEL + _CARDINALITY_LEVEL = None core_metric_cardinality_level = request.param os.environ["RAY_metric_cardinality_level"] = core_metric_cardinality_level cluster = ray_start_cluster cluster.add_node( _system_config={ - "metrics_report_interval_ms": 1000, "enable_metrics_collection": True, "metric_cardinality_level": core_metric_cardinality_level, + "experimental_enable_open_telemetry_on_agent": os.getenv( + "RAY_experimental_enable_open_telemetry_on_agent" + ) + == "1", + "experimental_enable_open_telemetry_on_core": os.getenv( + "RAY_experimental_enable_open_telemetry_on_core" + ) + == "1", } ) cluster.wait_for_nodes() @@ -66,13 +79,7 @@ async def run(self): ray.get(obj_refs) -@pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") -@pytest.mark.parametrize( - "_setup_cluster_for_test,cardinality_level", - [("recommended", "recommended"), ("legacy", "legacy")], - indirect=["_setup_cluster_for_test"], -) -def test_cardinality_levels(_setup_cluster_for_test, cardinality_level): +def _cardinality_level_test(_setup_cluster_for_test, cardinality_level): """ Test that the ray_tasks and ray_actors metric are reported with the expected cardinality level """ @@ -97,9 +104,28 @@ def _validate(): assert ( sample.labels.get(WORKER_ID_TAG_KEY) is not None ), f"Sample {sample} does not contain WorkerId tag" + if metric == "ray_tasks" or metric == "ray_actors": + assert ( + sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is not None + ), f"Sample {sample} does not contain Name tag" + elif cardinality_level == "low": + # If the cardinality level is low, the WorkerId and Name tags should + # be removed + assert ( + sample.labels.get(WORKER_ID_TAG_KEY) is None + ), f"Sample {sample} contains WorkerId tag" + if metric == "ray_tasks" or metric == "ray_actors": + assert ( + sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is None + ), f"Sample {sample} contains Name tag" else: raise ValueError(f"Unknown cardinality level: {cardinality_level}") + # The Component tag should be present on all cardinality levels + assert ( + sample.labels.get(_COMPONENT_TAG_KEY) is not None + ), f"Sample {sample} does not contain Component tag" + wait_for_assertion( _validate, timeout=TEST_TIMEOUT_S, @@ -107,6 +133,34 @@ def _validate(): ) +@pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") +@pytest.mark.parametrize( + "_setup_cluster_for_test,cardinality_level", + [("recommended", "recommended"), ("legacy", "legacy")], + indirect=["_setup_cluster_for_test"], +) +def test_cardinality_recommended_and_legacy_levels( + _setup_cluster_for_test, cardinality_level +): + _cardinality_level_test(_setup_cluster_for_test, cardinality_level) + + +# We only enable low cardinality test for open telemetry because the legacy opencensus +# implementation doesn't support low cardinality. +@pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") +@pytest.mark.skipif( + os.getenv("RAY_experimental_enable_open_telemetry_on_agent") != "1", + reason="OpenTelemetry is not enabled on agent", +) +@pytest.mark.parametrize( + "_setup_cluster_for_test,cardinality_level", + [("low", "low")], + indirect=["_setup_cluster_for_test"], +) +def test_cardinality_low_levels(_setup_cluster_for_test, cardinality_level): + _cardinality_level_test(_setup_cluster_for_test, cardinality_level) + + if __name__ == "__main__": import sys diff --git a/python/ray/tests/test_metrics_agent_2.py b/python/ray/tests/test_metrics_agent_2.py index 5d5ba3d57c4f..7da1ded7a348 100644 --- a/python/ray/tests/test_metrics_agent_2.py +++ b/python/ray/tests/test_metrics_agent_2.py @@ -1,7 +1,6 @@ import random import sys import time -from unittest.mock import patch import pytest @@ -25,11 +24,10 @@ DistributionAggregationData, ) from opencensus.metrics.export.value import ValueDouble +from ray._private.telemetry.metric_cardinality import WORKER_ID_TAG_KEY from ray._private.metrics_agent import ( - MetricCardinalityLevel, OpenCensusProxyCollector, OpencensusProxyMetric, - WORKER_ID_TAG_KEY, ) from ray.core.generated.metrics_pb2 import ( Metric, @@ -505,28 +503,6 @@ def test_metrics_agent_export_format_correct(get_agent): assert response.count("# TYPE test_test2 gauge") == 1 -@patch( - "ray._private.metrics_agent.OpenCensusProxyCollector._get_metric_cardinality_level_setting" -) -def test_get_metric_cardinality_level( - mock_get_metric_cardinality_level_setting, -): - """ - Test the core metric cardinality level. - """ - collector = OpenCensusProxyCollector("") - mock_get_metric_cardinality_level_setting.return_value = "recommended" - assert ( - collector._get_metric_cardinality_level() == MetricCardinalityLevel.RECOMMENDED - ) - - mock_get_metric_cardinality_level_setting.return_value = "legacy" - assert collector._get_metric_cardinality_level() == MetricCardinalityLevel.LEGACY - - mock_get_metric_cardinality_level_setting.return_value = "unknown" - assert collector._get_metric_cardinality_level() == MetricCardinalityLevel.LEGACY - - def _stub_node_level_metric(label: str, value: float) -> OpencensusProxyMetric: metric = OpencensusProxyMetric( name="test_metric_01", diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index 7c3cdfb4f61b..0edf7668e4a7 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -47,7 +47,8 @@ DEFINE_stats( tasks, "Current number of tasks currently in a particular state.", // State: the task state, as described by rpc::TaskState proto in common.proto. - // Name: the name of the function called. + // Name: the name of the function called (Keep in sync with the + // TASK_OR_ACTOR_NAME_TAG_KEY in python/ray/_private/telemetry/metric_cardinality.py) // Source: component reporting, e.g., "core_worker", "executor", or "pull_manager". // IsRetry: whether this task is a retry. ("State", "Name", "Source", "IsRetry", "JobId"), @@ -58,16 +59,18 @@ DEFINE_stats( /// /// To avoid metric collection conflicts between components reporting on the same task, /// we use the "Source" required label. -DEFINE_stats(actors, - "Current number of actors currently in a particular state.", - // State: the actor state, which is from rpc::ActorTableData::ActorState, - // For ALIVE actor the sub-state can be IDLE, RUNNING_TASK, - // RUNNING_IN_RAY_GET, and RUNNING_IN_RAY_WAIT. - // Name: the name of actor class. - // Source: component reporting, e.g., "gcs" or "executor". - ("State", "Name", "Source", "JobId"), - (), - ray::stats::GAUGE); +DEFINE_stats( + actors, + "Current number of actors currently in a particular state.", + // State: the actor state, which is from rpc::ActorTableData::ActorState, + // For ALIVE actor the sub-state can be IDLE, RUNNING_TASK, + // RUNNING_IN_RAY_GET, and RUNNING_IN_RAY_WAIT. + // Name: the name of actor class (Keep in sync with the TASK_OR_ACTOR_NAME_TAG_KEY in + // python/ray/_private/telemetry/metric_cardinality.py) Source: component reporting, + // e.g., "gcs" or "executor". + ("State", "Name", "Source", "JobId"), + (), + ray::stats::GAUGE); /// Job related stats. DEFINE_stats(running_jobs, diff --git a/src/ray/stats/tag_defs.cc b/src/ray/stats/tag_defs.cc index 1c18ef5b043f..527a06007c87 100644 --- a/src/ray/stats/tag_defs.cc +++ b/src/ray/stats/tag_defs.cc @@ -32,7 +32,8 @@ const TagKeyType DriverPidKey = TagKeyType::Register("DriverPid"); const TagKeyType ActorIdKey = TagKeyType::Register("ActorId"); -// Keep in sync with the WORKER_ID_TAG_KEY in python/ray/_private/metrics_agent.py +// Keep in sync with the WORKER_ID_TAG_KEY in +// python/ray/_private/telemetry/metric_cardinality.py const TagKeyType WorkerIdKey = TagKeyType::Register("WorkerId"); const TagKeyType JobIdKey = TagKeyType::Register("JobId"); From 3f8ea9d6acf97112d7096a5103763521510898a9 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Thu, 7 Aug 2025 16:22:43 -0700 Subject: [PATCH 0559/1566] [core][test] Don't run thread count test on win32/osx (#55396) Signed-off-by: Zac Policzer Signed-off-by: Douglas Strodtman --- python/ray/tests/test_basic.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index e0db4833575c..68d1773adff0 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -233,7 +233,9 @@ def f(): ray.get(f.remote()) -@pytest.mark.skipif(sys.platform == "win32", reason="Windows thread count not policed.") +@pytest.mark.skipif( + sys.platform != "linux", reason="Windows/OSX thread count not policed yet." +) def test_worker_thread_count(monkeypatch, shutdown_only): """This test will fail if the number of threads spawned by a worker process increases. If you find that a patch is now causing this test to fail, From be2fb5e206e9d78b20ab5989a359db47ab3a0487 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 7 Aug 2025 17:32:49 -0700 Subject: [PATCH 0560/1566] [core] improve the robustness of raylet metric reporting (#55229) **Context** This PR is related to the Ray metrics infrastructure. In Ray, each node runs a centralized process called the DashboardAgent, which acts as a gRPC server. Other processes on the same node send their per-process metrics to this server. The DashboardAgent then aggregates these metrics and exports them to Prometheus. The DashboardAgent is spawned by the raylet. **Problem** Currently, raylet starts to send metrics (via `stats::Init`) before the DashboardAgent is initialized (via raylet's node manager). It potentially drop metrics and spawn noisy logs. **Solution** This PR initialize `stats::Init` after raylet's node manager, make sure metrics are not dropped. Test: - CI - `test_metrics_agent.py` is a comprehensive test that provides confidence everything is working properly. Run this test locally and check that errors are no longer observed inside raylet log. --------- Signed-off-by: Cuong Nguyen Signed-off-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/main.cc | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index aea88d029829..676b7d0bc2ef 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -490,15 +490,6 @@ int main(int argc, char *argv[]) { << "rpc_service_threads_number = " << object_manager_config.rpc_service_threads_number << ", object_chunk_size = " << object_manager_config.object_chunk_size; - // Initialize stats. - const ray::stats::TagsType global_tags = { - {ray::stats::ComponentKey, "raylet"}, - {ray::stats::WorkerIdKey, ""}, - {ray::stats::VersionKey, kRayVersion}, - {ray::stats::NodeAddressKey, node_ip_address}, - {ray::stats::SessionNameKey, session_name}}; - ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); - RAY_LOG(INFO).WithField(raylet_node_id) << "Setting node ID"; node_manager_config.AddDefaultLabels(raylet_node_id.Hex()); @@ -822,7 +813,19 @@ int main(int argc, char *argv[]) { is_head_node, *node_manager); - // Initialize event framework. + // Initializing stats should be done after the node manager is initialized because + // . Metrics exported before this call will be buffered until `Init` is + // called. + const ray::stats::TagsType global_tags = { + {ray::stats::ComponentKey, "raylet"}, + {ray::stats::WorkerIdKey, ""}, + {ray::stats::VersionKey, kRayVersion}, + {ray::stats::NodeAddressKey, node_ip_address}, + {ray::stats::SessionNameKey, session_name}}; + ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); + + // Initialize event framework. This should be done after the node manager is + // initialized. if (RayConfig::instance().event_log_reporter_enabled() && !log_dir.empty()) { const std::vector source_types = { ray::rpc::Event_SourceType::Event_SourceType_RAYLET}; From 6224f5f5710a1664ad3300a5d7671b5962affc00 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Thu, 7 Aug 2025 20:47:07 -0400 Subject: [PATCH 0561/1566] [Data] Fixed sorting release test to produce 1Gb blocks (#55402) ## Why are these changes needed? After recent removal of `DataContext.target_shuffle_max_block_size` we now need to override `target_max_block_size` instead. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- release/nightly_tests/dataset/sort_benchmark.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/release/nightly_tests/dataset/sort_benchmark.py b/release/nightly_tests/dataset/sort_benchmark.py index 9729f89cb714..4a25e38e8753 100644 --- a/release/nightly_tests/dataset/sort_benchmark.py +++ b/release/nightly_tests/dataset/sort_benchmark.py @@ -9,7 +9,7 @@ from benchmark import Benchmark import ray from ray._private.internal_api import memory_summary -from ray.data._internal.util import _check_pyarrow_version +from ray.data._internal.util import _check_pyarrow_version, GiB from ray.data.block import Block, BlockMetadata from ray.data.context import DataContext from ray.data.datasource import Datasource, ReadTask @@ -120,11 +120,14 @@ def make_block(count: int) -> Block: partition_size = int(float(args.partition_size)) print( f"Dataset size: {num_partitions} partitions, " - f"{partition_size / 1e9}GB partition size, " - f"{num_partitions * partition_size / 1e9}GB total" + f"{partition_size / GiB}GB partition size, " + f"{num_partitions * partition_size / GiB}GB total" ) def run_benchmark(args): + # Override target max-block size to avoid creating too many blocks + DataContext.get_current().target_max_block_size = 1 * GiB + source = RandomIntRowDatasource() # Each row has an int64 key. num_rows_per_partition = partition_size // (8 + args.row_size_bytes) From cfb072b3dc20d30eff6381f502a8af1d10591f63 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 7 Aug 2025 20:04:40 -0500 Subject: [PATCH 0562/1566] [core] Clean up redundant node registration logs in the GCS (#55363) Previously we spammed 3 logs each time a node registered: - Registering new node. - Registered new node (wrote to external storage). - Placement group manager yapped about getting a new node. Reduced this down to one. Thoughts on having both a "registered" and "registering" log: - If the registration fails, that should definitely be an error, but don't need one in the happy path then. - The only other utility is to see the latency, but that should be recorded with a metric. I've also added some context to other logs I came across & improved their messages. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/id.h | 5 ++ src/ray/gcs/gcs_server/gcs_job_manager.cc | 39 +++++++------- src/ray/gcs/gcs_server/gcs_node_manager.cc | 51 +++++++++---------- .../gcs/gcs_server/gcs_placement_group_mgr.cc | 22 ++++---- src/ray/gcs/gcs_server/gcs_server.cc | 8 +-- src/ray/util/logging.h | 1 + 6 files changed, 65 insertions(+), 61 deletions(-) diff --git a/src/ray/common/id.h b/src/ray/common/id.h index 35bb5affdbcf..6296c717253c 100644 --- a/src/ray/common/id.h +++ b/src/ray/common/id.h @@ -551,6 +551,11 @@ std::string BaseID::Hex() const { return result; } +template <> +struct DefaultLogKey { + constexpr static std::string_view key = kLogKeyClusterID; +}; + template <> struct DefaultLogKey { constexpr static std::string_view key = kLogKeyJobID; diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 547f695a6db5..5400b353dc06 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -94,9 +94,9 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, mutable_job_table_data.set_start_time(time); mutable_job_table_data.set_timestamp(time); const JobID job_id = JobID::FromBinary(mutable_job_table_data.job_id()); - RAY_LOG(INFO) << "Adding job, job id = " << job_id - << ", driver pid = " << mutable_job_table_data.driver_pid(); - + RAY_LOG(INFO).WithField(job_id).WithField("driver_pid", + mutable_job_table_data.driver_pid()) + << "Registering job."; auto on_done = [this, job_id, job_table_data = mutable_job_table_data, @@ -106,8 +106,9 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, RAY_CHECK(thread_checker_.IsOnSameThread()); if (!status.ok()) { - RAY_LOG(ERROR) << "Failed to add job, job id = " << job_id - << ", driver pid = " << job_table_data.driver_pid(); + RAY_LOG(ERROR).WithField(job_id).WithField("driver_pid", + job_table_data.driver_pid()) + << "Failed to register job."; } else { RAY_CHECK_OK(gcs_publisher_.PublishJob(job_id, job_table_data, /*done=*/nullptr)); if (job_table_data.config().has_runtime_env_info()) { @@ -115,8 +116,7 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, job_table_data.config().runtime_env_info()); } function_manager_.AddJobReference(job_id); - RAY_LOG(INFO) << "Finished adding job, job id = " << job_id - << ", driver pid = " << job_table_data.driver_pid(); + RAY_LOG(DEBUG).WithField(job_id) << "Registered job successfully."; cached_job_configs_[job_id] = std::make_shared(job_table_data.config()); @@ -138,6 +138,7 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, std::function done_callback) { const JobID job_id = JobID::FromBinary(job_table_data.job_id()); + RAY_LOG(INFO).WithField(job_id) << "Marking job as finished."; auto time = current_sys_time_ms(); job_table_data.set_timestamp(time); @@ -148,12 +149,12 @@ void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, RAY_CHECK(thread_checker_.IsOnSameThread()); if (!status.ok()) { - RAY_LOG(ERROR) << "Failed to mark job state, job id = " << job_id; + RAY_LOG(ERROR).WithField(job_id) << "Failed to mark job as finished."; } else { RAY_CHECK_OK(gcs_publisher_.PublishJob(job_id, job_table_data, nullptr)); runtime_env_manager_.RemoveURIReference(job_id.Hex()); ClearJobInfos(job_table_data); - RAY_LOG(INFO) << "Finished marking job state, job id = " << job_id; + RAY_LOG(DEBUG).WithField(job_id) << "Marked job as finished."; } function_manager_.RemoveJobReference(job_id); WriteDriverJobExportEvent(job_table_data); @@ -202,11 +203,11 @@ void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, } if (!result.has_value()) { - RAY_LOG(ERROR) << "Tried to mark job " << job_id - << " as finished, but there was no record of it starting!"; + RAY_LOG(ERROR).WithField(job_id) + << "Tried to mark job as finished, but no job table entry was found."; } else if (!status.ok()) { - RAY_LOG(ERROR) << "Fails to mark job " << job_id << " as finished due to " - << status; + RAY_LOG(ERROR).WithField(job_id) + << "Failed to mark job as finished: " << status; } send_reply(status); }, @@ -478,17 +479,18 @@ std::shared_ptr GcsJobManager::GetJobConfig(const JobID &job_id) void GcsJobManager::OnNodeDead(const NodeID &node_id) { RAY_LOG(INFO).WithField(node_id) - << "Node is dead, mark all jobs from this node as finished"; + << "Node is dead, marking all jobs with drivers on this node as finished."; auto on_done = [this, node_id](const absl::flat_hash_map &result) { RAY_CHECK(thread_checker_.IsOnSameThread()); - // If job is not dead and from driver in current node, then mark it as finished + // Mark jobs finished that: + // - (1) are not already dead. + // - (2) have their driver running on the dead node. for (auto &data : result) { - if (!data.second.is_dead() && - NodeID::FromBinary(data.second.driver_address().raylet_id()) == node_id) { - RAY_LOG(DEBUG).WithField(data.first) << "Marking job as finished"; + auto driver_node_id = NodeID::FromBinary(data.second.driver_address().raylet_id()); + if (!data.second.is_dead() && driver_node_id == node_id) { MarkJobAsFinished(data.second, [data](Status status) { if (!status.ok()) { RAY_LOG(WARNING) << "Failed to mark job as finished. Status: " << status; @@ -498,7 +500,6 @@ void GcsJobManager::OnNodeDead(const NodeID &node_id) { } }; - // make all jobs in current node to finished RAY_CHECK_OK(gcs_table_storage_.JobTable().GetAll({on_done, io_context_})); } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index afbcb295cca6..c5e6fffd9cf0 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -72,11 +72,9 @@ void GcsNodeManager::WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info) con RayExportEvent(export_node_data_ptr).SendEvent(); } -// Note: ServerCall will populate the cluster_id. void GcsNodeManager::HandleGetClusterId(rpc::GetClusterIdRequest request, rpc::GetClusterIdReply *reply, rpc::SendReplyCallback send_reply_callback) { - RAY_LOG(DEBUG) << "Registering GCS client!"; reply->set_cluster_id(cluster_id_.Binary()); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } @@ -84,24 +82,24 @@ void GcsNodeManager::HandleGetClusterId(rpc::GetClusterIdRequest request, void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, rpc::RegisterNodeReply *reply, rpc::SendReplyCallback send_reply_callback) { - NodeID node_id = NodeID::FromBinary(request.node_info().node_id()); - RAY_LOG(INFO).WithField(node_id) - << "Registering node info, address = " << request.node_info().node_manager_address() - << ", node name = " << request.node_info().node_name(); - auto on_done = [this, node_id, request, reply, send_reply_callback]( - const Status &status) { - RAY_CHECK_OK(status); - RAY_LOG(INFO).WithField(node_id) - << "Finished registering node info, address = " - << request.node_info().node_manager_address() - << ", node name = " << request.node_info().node_name() - << ", is_head_node = " << request.node_info().is_head_node(); - RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, request.node_info(), nullptr)); - AddNode(std::make_shared(request.node_info())); - WriteNodeExportEvent(request.node_info()); - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); - }; - if (request.node_info().is_head_node()) { + const rpc::GcsNodeInfo &node_info = request.node_info(); + NodeID node_id = NodeID::FromBinary(node_info.node_id()); + RAY_LOG(INFO) + .WithField(node_id) + .WithField("node_name", node_info.node_name()) + .WithField("node_address", node_info.node_manager_address()) + << "Registering new node."; + + auto on_done = + [this, node_id, node_info, reply, send_reply_callback](const Status &status) { + RAY_CHECK_OK(status) << "Failed to register node '" << node_id << "'."; + RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node."; + RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, node_info, nullptr)); + AddNode(std::make_shared(node_info)); + WriteNodeExportEvent(node_info); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); + }; + if (node_info.is_head_node()) { // mark all old head nodes as dead if exists: // 1. should never happen when HA is not used // 2. happens when a new head node is started @@ -116,18 +114,18 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, RAY_CHECK_LE(head_nodes.size(), 1UL); if (head_nodes.size() == 1) { OnNodeFailure(head_nodes[0], - [this, request, on_done, node_id](const Status &status) { + [this, node_id, node_info, on_done](const Status &status) { RAY_CHECK_OK(status); RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, request.node_info(), {on_done, io_context_})); + node_id, node_info, {on_done, io_context_})); }); } else { RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, request.node_info(), {on_done, io_context_})); + node_id, node_info, {on_done, io_context_})); } } else { - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, request.node_info(), {on_done, io_context_})); + RAY_CHECK_OK( + gcs_table_storage_->NodeTable().Put(node_id, node_info, {on_done, io_context_})); } ++counts_[CountType::REGISTER_NODE_REQUEST]; } @@ -395,8 +393,7 @@ std::shared_ptr GcsNodeManager::RemoveNode( auto death_info = removed_node->mutable_death_info(); death_info->CopyFrom(node_death_info); - RAY_LOG(INFO).WithField(node_id) - << "Removing node, node name = " << removed_node->node_name() + RAY_LOG(INFO).WithField(node_id).WithField("node_name", removed_node->node_name()) << ", death reason = " << rpc::NodeDeathInfo_Reason_Name(death_info->reason()) << ", death message = " << death_info->reason_message(); // Record stats that there's a new removed node. diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc index d26052ee4de2..9e9694801586 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc @@ -848,9 +848,8 @@ void GcsPlacementGroupManager::OnNodeDead(const NodeID &node_id) { } void GcsPlacementGroupManager::OnNodeAdd(const NodeID &node_id) { - RAY_LOG(INFO) - << "A new node: " << node_id - << " registered, will try to reschedule all the infeasible placement groups."; + RAY_LOG(DEBUG).WithField(node_id) + << "A new node has been added, trying to schedule pending placement groups."; // Move all the infeasible placement groups to the pending queue so that we can // reschedule them. @@ -881,11 +880,11 @@ void GcsPlacementGroupManager::CleanPlacementGroupIfNeededWhenJobDead( for (const auto &placement_group_id : groups_to_remove) { RemovePlacementGroup(placement_group_id, [placement_group_id](Status status) { if (status.ok()) { - RAY_LOG(INFO) << "Placement group of an id, " << placement_group_id - << " is successfully removed because the job died."; + RAY_LOG(INFO).WithField(placement_group_id) + << "Removed placement group because its job finished."; } else { - RAY_LOG(WARNING) << "Failed to remove the placement group " << placement_group_id - << " upon a job died, status:" << status; + RAY_LOG(WARNING).WithField(placement_group_id) + << "Failed to remove placement group after its job finished: " << status; } }); } @@ -909,11 +908,12 @@ void GcsPlacementGroupManager::CleanPlacementGroupIfNeededWhenActorDead( for (const auto &placement_group_id : groups_to_remove) { RemovePlacementGroup(placement_group_id, [placement_group_id](Status status) { if (status.ok()) { - RAY_LOG(INFO) << "Placement group of an id, " << placement_group_id - << " is successfully removed because the creator actor died."; + RAY_LOG(INFO).WithField(placement_group_id) + << "Removed placement group because its creator actor exited."; } else { - RAY_LOG(WARNING) << "Failed to remove the placement group " << placement_group_id - << " upon an actor death, status:" << status.ToString(); + RAY_LOG(WARNING).WithField(placement_group_id) + << "Failed to remove placement group after its creator actor exited: " + << status; } }); } diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 15eb35c606fa..8927570c75f1 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -200,8 +200,7 @@ void GcsServer::GetOrGenerateClusterId( if (!provided_cluster_id.has_value()) { instrumented_io_context &io_context = continuation.io_context(); ClusterID cluster_id = ClusterID::FromRandom(); - RAY_LOG(INFO) << "No existing server cluster ID found. Generating new ID: " - << cluster_id.Hex(); + RAY_LOG(INFO).WithField(cluster_id) << "Generated new cluster ID."; kv_manager_->GetInstance().Put( kClusterIdNamespace, kClusterIdKey, @@ -209,7 +208,7 @@ void GcsServer::GetOrGenerateClusterId( false, {[cluster_id, continuation = std::move(continuation)](bool added_entry) mutable { - RAY_CHECK(added_entry) << "Failed to persist new cluster ID!"; + RAY_CHECK(added_entry) << "Failed to persist new cluster ID."; std::move(continuation) .Dispatch("GcsServer.GetOrGenerateClusterId.continuation", cluster_id); @@ -217,7 +216,8 @@ void GcsServer::GetOrGenerateClusterId( io_context}); } else { ClusterID cluster_id = ClusterID::FromBinary(provided_cluster_id.value()); - RAY_LOG(INFO) << "Found existing server token: " << cluster_id; + RAY_LOG(INFO).WithField(cluster_id) + << "Using existing cluster ID from external storage."; std::move(continuation) .Dispatch("GcsServer.GetOrGenerateClusterId.continuation", cluster_id); } diff --git a/src/ray/util/logging.h b/src/ray/util/logging.h index 6bd06f15038e..4a010ae9b8e1 100644 --- a/src/ray/util/logging.h +++ b/src/ray/util/logging.h @@ -96,6 +96,7 @@ inline constexpr std::string_view kLogKeyMessage = "message"; inline constexpr std::string_view kLogKeyFilename = "filename"; inline constexpr std::string_view kLogKeyLineno = "lineno"; inline constexpr std::string_view kLogKeyComponent = "component"; +inline constexpr std::string_view kLogKeyClusterID = "cluster_id"; inline constexpr std::string_view kLogKeyJobID = "job_id"; inline constexpr std::string_view kLogKeyWorkerID = "worker_id"; inline constexpr std::string_view kLogKeyNodeID = "node_id"; From c388460425be8a1e1dc68a4d4dddac18b0240e3d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 7 Aug 2025 18:29:20 -0700 Subject: [PATCH 0563/1566] Revert "[Core] Bind runtime env agent and dashboard agent server to specified ip instead of 0.0.0.0" (#55393) Reverts ray-project/ray#55298 Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/agent/main.py | 5 ++++- python/ray/dashboard/agent.py | 9 +++------ python/ray/dashboard/http_server_agent.py | 9 +-------- 3 files changed, 8 insertions(+), 15 deletions(-) diff --git a/python/ray/_private/runtime_env/agent/main.py b/python/ray/_private/runtime_env/agent/main.py index e65de4d63bd4..f9beaa6167c9 100644 --- a/python/ray/_private/runtime_env/agent/main.py +++ b/python/ray/_private/runtime_env/agent/main.py @@ -218,10 +218,13 @@ def parent_dead_callback(msg): check_raylet_task = create_check_raylet_task( args.log_dir, gcs_client, parent_dead_callback, loop ) + runtime_env_agent_ip = ( + "127.0.0.1" if args.node_ip_address == "127.0.0.1" else "0.0.0.0" + ) try: web.run_app( app, - host=args.node_ip_address, + host=runtime_env_agent_ip, port=args.runtime_env_agent_port, loop=loop, ) diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index b90ec47cc780..9e6513342d17 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -108,14 +108,11 @@ def _init_non_minimal(self): ), ) # noqa ) + grpc_ip = "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0" try: self.grpc_port = add_port_to_grpc_server( - self.server, f"{self.ip}:{self.dashboard_agent_port}" + self.server, f"{grpc_ip}:{self.dashboard_agent_port}" ) - if self.ip != "127.0.0.1" and self.ip != "localhost": - self.grpc_port = add_port_to_grpc_server( - self.server, f"127.0.0.1:{self.dashboard_agent_port}" - ) except Exception: # TODO(SongGuyang): Catch the exception here because there is # port conflict issue which brought from static port. We should @@ -127,7 +124,7 @@ def _init_non_minimal(self): self.server = None self.grpc_port = None else: - logger.info("Dashboard agent grpc address: %s:%s", self.ip, self.grpc_port) + logger.info("Dashboard agent grpc address: %s:%s", grpc_ip, self.grpc_port) # If the agent is not minimal it should start the http server # to communicate with the dashboard in a head node. diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index a585eb33bf3d..eba97aee9ad5 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -43,17 +43,10 @@ async def _start_site_with_retry( try: site = aiohttp.web.TCPSite( self.runner, - self.ip, + "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0", self.listen_port, ) await site.start() - if self.ip != "127.0.0.1" and self.ip != "localhost": - local_site = aiohttp.web.TCPSite( - self.runner, - "127.0.0.1", - self.listen_port, - ) - await local_site.start() if attempt > 0: logger.info( f"Successfully started agent on port {self.listen_port} " From e3c9b79e7b63f4f65520ca43986ae28a67953fb7 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Thu, 7 Aug 2025 20:01:09 -0700 Subject: [PATCH 0564/1566] [serve.llm] Fix test_deepseek_model release test (#55401) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- release/llm_tests/serve/test_llm_serve_integration.py | 1 + 1 file changed, 1 insertion(+) diff --git a/release/llm_tests/serve/test_llm_serve_integration.py b/release/llm_tests/serve/test_llm_serve_integration.py index f579c80f020c..8efb78ef2810 100644 --- a/release/llm_tests/serve/test_llm_serve_integration.py +++ b/release/llm_tests/serve/test_llm_serve_integration.py @@ -147,6 +147,7 @@ def test_deepseek_model(model_name): enable_chunked_prefill=True, enable_prefix_caching=True, enforce_eager=True, + trust_remote_code=True, ), ) app = build_openai_app({"llm_configs": [llm_config]}) From 10f947bd432973b30809fa905e066c1a100ead3c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9D=A8=E7=9D=BF?= <595403043@qq.com> Date: Fri, 8 Aug 2025 11:53:07 +0800 Subject: [PATCH 0565/1566] [Core] Fix endless loop in `stream` attribute access of `ray._private.utils.Unbuffered` (#55243) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: 杨睿 <595403043@qq.com> Co-authored-by: Edward Oakes Co-authored-by: Ibrahim Rabbani Signed-off-by: Douglas Strodtman --- python/ray/_private/utils.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/python/ray/_private/utils.py b/python/ray/_private/utils.py index 5121d43d6d08..84ab89094544 100644 --- a/python/ray/_private/utils.py +++ b/python/ray/_private/utils.py @@ -302,6 +302,9 @@ def writelines(self, datas): self.stream.flush() def __getattr__(self, attr): + # Avoid endless loop when get `stream` attribute + if attr == "stream": + return super().__getattribute__("stream") return getattr(self.stream, attr) From f9f60dfa3b2019d98c828e07b44c5a33b5d1b0fd Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 7 Aug 2025 21:29:24 -0700 Subject: [PATCH 0566/1566] [core] Make less node info requests to the GCS on node startup (#55389) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_private/node.py | 56 ++++++++++++------- python/ray/_private/services.py | 2 + .../gcs/gcs_client/global_state_accessor.cc | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 9 +++ 4 files changed, 47 insertions(+), 22 deletions(-) diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 5a9cae459933..63e465eba9cb 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -349,27 +349,41 @@ def __init__( if not connect_only: self.start_ray_processes() - # we should update the address info after the node has been started - try: - ray._private.services.wait_for_node( - self.gcs_address, - self._plasma_store_socket_name, - ) - except TimeoutError as te: - raise Exception( - "The current node timed out during startup. This " - "could happen because some of the Ray processes " - "failed to startup." - ) from te - - # Fetch node info to update port or get labels. - node_info = ray._private.services.get_node( - self.gcs_address, - self._node_id, - ) - if not connect_only and self._ray_params.node_manager_port == 0: - self._ray_params.node_manager_port = node_info["node_manager_port"] - elif connect_only: + # Wait for the node info to be available in the GCS so that + # we know it's started up. + + # Grace period to let the Raylet register with the GCS. + # We retry in a loop in case it takes longer than expected. + time.sleep(0.1) + start_time = time.monotonic() + raylet_start_wait_time_s = 30 + node_info = None + while True: + try: + # Will raise a RuntimeError if the node info is not available. + node_info = ray._private.services.get_node( + self.gcs_address, + self._node_id, + ) + break + except RuntimeError as e: + logger.info(f"Failed to get node info {e}") + if time.monotonic() - start_time > raylet_start_wait_time_s: + raise Exception( + "The current node timed out during startup. This " + "could happen because some of the raylet failed to " + "startup or the GCS has become overloaded." + ) + # Use node info to update port + if self._ray_params.node_manager_port == 0: + self._ray_params.node_manager_port = node_info["node_manager_port"] + + if connect_only: + # Fetch node info to get labels. + node_info = ray._private.services.get_node( + self.gcs_address, + self._node_id, + ) # Set node labels from GCS if provided at node init. self._node_labels = node_info.get("labels", {}) diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index c43321c583e4..cbf80471af27 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -425,6 +425,8 @@ def wait_for_node( timeout: int = _timeout, ): """Wait until this node has appeared in the client table. + NOTE: Makes an RPC to the GCS up to every 0.1 seconds to + get all node info. Use only for testing. Args: gcs_address: The gcs address diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index 40b7a4174407..887eca9043ef 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -429,7 +429,7 @@ ray::Status GlobalStateAccessor::GetNode(const std::string &node_id_hex_str, ". The node registration may not be complete yet before the timeout." + " Try increase the RAY_raylet_start_wait_time_s config."); } - RAY_LOG(WARNING) << "Retrying to get node with node ID " << node_id_hex_str; + RAY_LOG(INFO) << "Retrying to get node with node ID " << node_id_hex_str; // Some of the information may not be in GCS yet, so wait a little bit. std::this_thread::sleep_for(std::chrono::seconds(1)); } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index c5e6fffd9cf0..a9a54756cf85 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -289,9 +289,15 @@ void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, if (request.has_state_filter()) { switch (request.state_filter()) { case rpc::GcsNodeInfo::ALIVE: + if (!has_node_selectors) { + reply->mutable_node_info_list()->Reserve(alive_nodes_.size()); + } add_to_response(alive_nodes_); break; case rpc::GcsNodeInfo::DEAD: + if (!has_node_selectors) { + reply->mutable_node_info_list()->Reserve(dead_nodes_.size()); + } add_to_response(dead_nodes_); break; default: @@ -299,6 +305,9 @@ void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, break; } } else { + if (!has_node_selectors) { + reply->mutable_node_info_list()->Reserve(alive_nodes_.size() + dead_nodes_.size()); + } add_to_response(alive_nodes_); add_to_response(dead_nodes_); } From a6ee772b42b6aca9a54d1305c212bd75b1d555ab Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 8 Aug 2025 00:01:29 -0500 Subject: [PATCH 0567/1566] [core] Split `buffer.h` target from `ray_object` (#55382) Not everything that needs `buffer.h` needs `ray_object.h` --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 17 +++++++++++++---- src/ray/core_worker/BUILD.bazel | 3 ++- src/ray/object_manager/plasma/BUILD.bazel | 2 +- src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet_client/BUILD.bazel | 2 +- 5 files changed, 18 insertions(+), 7 deletions(-) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 3e8d6d22f866..aaa5dc7f6109 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -28,21 +28,30 @@ ray_cc_library( ], ) +ray_cc_library( + name = "buffer", + hdrs = ["buffer.h"], + deps = [ + ":status", + "//src/ray/thirdparty:aligned_alloc", + "//src/ray/util:logging", + ], +) + ray_cc_library( name = "ray_object", srcs = ["ray_object.cc"], hdrs = [ - "buffer.h", "ray_object.h", ], deps = [ + ":buffer", ":id", - ":status", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/thirdparty:aligned_alloc", - "//src/ray/util", + "//src/ray/util:logging", "@com_google_absl//absl/time", "@com_google_absl//absl/types:optional", + "@msgpack", ], ) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 4dd8d48262a4..9d2d304017eb 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -291,8 +291,8 @@ ray_cc_library( ":memory_store", ":task_event_buffer", ":task_manager_interface", + "//src/ray/common:buffer", "//src/ray/common:id", - "//src/ray/common:ray_object", "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:core_worker_cc_proto", @@ -544,6 +544,7 @@ ray_cc_library( ":core_worker_common", ":core_worker_context", ":reference_count", + "//src/ray/common:buffer", "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 3fc12827ebc8..29aea9b47cd6 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -38,8 +38,8 @@ ray_cc_library( ":plasma_malloc", ":plasma_shared_memory", "//src/ray/common:asio", + "//src/ray/common:buffer", "//src/ray/common:ray_config", - "//src/ray/common:ray_object", "//src/ray/common:status", "//src/ray/common:status_or", "//src/ray/object_manager:object_manager_common", diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index b20f7d920404..c1bb4857a89e 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -222,6 +222,7 @@ ray_cc_library( ":worker", ":worker_killing_policy", ":worker_pool", + "//src/ray/common:buffer", "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/flatbuffers:node_manager_generated", diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index eebac476152b..47695ab5f8a7 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -22,8 +22,8 @@ ray_cc_library( hdrs = ["raylet_client.h"], deps = [ ":raylet_client_connection_lib", + "//src/ray/common:buffer", "//src/ray/common:id", - "//src/ray/common:ray_object", "//src/ray/common:status", "//src/ray/common:task_common", "//src/ray/flatbuffers:node_manager_generated", From ed6c115f0145f6690154f645bd37395a94698600 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 8 Aug 2025 09:58:55 -0500 Subject: [PATCH 0568/1566] [core] Remove `is_from_worker` flag and `consumed_bytes` plasma counter (#55260) We have a deep abstraction leak in plasma, where we set `is_from_worker` when requesting objects from plasma and thread it through many layers. It is used for one thing: to decide whether or not to record a metric on the number of "consumed" bytes. Note that the flag is not always `true` from the worker (in `GetIfLocal` we set it to `false`). Original PR: https://github.com/ray-project/ray/pull/13853 The metric is only used for the "memory summary", which is output by the `ray memory` CLI command. For end users, this metric is very very unlikely to be useful. It is also used for the object spilling tests, which parse the string and make an assertion on the embedded values. This is very very brittle. If/when we revisit spilling we will test it in a more robust way. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/internal_api.py | 4 -- python/ray/tests/test_object_spilling.py | 49 ++----------------- python/ray/tests/test_object_spilling_2.py | 13 ++--- python/ray/tests/test_object_spilling_3.py | 6 +-- src/mock/ray/object_manager/plasma/client.h | 3 +- .../store_provider/plasma_store_provider.cc | 9 +--- src/ray/object_manager/object_buffer_pool.cc | 3 +- src/ray/object_manager/object_manager.cc | 1 - src/ray/object_manager/plasma/client.cc | 29 ++++------- src/ray/object_manager/plasma/client.h | 7 +-- .../plasma/get_request_queue.cc | 9 ++-- .../object_manager/plasma/get_request_queue.h | 9 +--- src/ray/object_manager/plasma/plasma.fbs | 2 - src/ray/object_manager/plasma/protocol.cc | 9 ++-- src/ray/object_manager/plasma/protocol.h | 6 +-- src/ray/object_manager/plasma/store.cc | 17 ++----- src/ray/object_manager/plasma/store.h | 9 +--- src/ray/object_manager/plasma/store_runner.cc | 2 - src/ray/object_manager/plasma/store_runner.h | 2 - .../test/get_request_queue_test.cc | 16 +++--- src/ray/protobuf/node_manager.proto | 10 ++-- src/ray/raylet/node_manager.cc | 6 +-- src/ray/raylet/test/node_manager_test.cc | 3 +- 23 files changed, 54 insertions(+), 170 deletions(-) diff --git a/python/ray/_private/internal_api.py b/python/ray/_private/internal_api.py index 4e4627a1400a..ea35a5bacb5d 100644 --- a/python/ray/_private/internal_api.py +++ b/python/ray/_private/internal_api.py @@ -168,10 +168,6 @@ def store_stats_summary(reply): ), ) ) - if reply.store_stats.consumed_bytes > 0: - store_summary += "Objects consumed by Ray tasks: {} MiB.\n".format( - int(reply.store_stats.consumed_bytes / (1024 * 1024)) - ) if reply.store_stats.object_pulls_queued: store_summary += "Object fetches queued, waiting for available memory." diff --git a/python/ray/tests/test_object_spilling.py b/python/ray/tests/test_object_spilling.py index 2afb71cea2dd..e219a564cc37 100644 --- a/python/ray/tests/test_object_spilling.py +++ b/python/ray/tests/test_object_spilling.py @@ -23,7 +23,6 @@ ) from ray._private.internal_api import memory_summary from ray._common.test_utils import wait_for_condition -from ray._raylet import GcsClientOptions import ray.remote_function from ray.tests.conftest import ( buffer_object_spilling_config, @@ -65,26 +64,6 @@ def is_dir_empty(temp_folder, node_id, append_path=True): return num_files == 0 -def assert_no_thrashing(address): - state = ray._private.state.GlobalState() - options = GcsClientOptions.create( - address, None, allow_cluster_id_nil=True, fetch_cluster_id_if_nil=False - ) - state._initialize_global_state(options) - summary = memory_summary(address=address, stats_only=True) - restored_bytes = 0 - consumed_bytes = 0 - - for line in summary.split("\n"): - if "Restored" in line: - restored_bytes = int(line.split(" ")[1]) - if "consumed" in line: - consumed_bytes = int(line.split(" ")[-2]) - assert ( - consumed_bytes >= restored_bytes - ), f"consumed: {consumed_bytes}, restored: {restored_bytes}" - - @pytest.mark.skipif(platform.system() == "Windows", reason="Doesn't support Windows.") def test_spill_file_uniqueness(shutdown_only): ray_context = ray.init(num_cpus=0, object_store_memory=75 * 1024 * 1024) @@ -462,7 +441,6 @@ def test_spilling_not_done_for_pinned_object(object_spilling_config, shutdown_on print(type(temp_folder)) wait_for_condition(lambda: is_dir_empty(temp_folder, ray_context["node_id"])) - assert_no_thrashing(ray_context["address"]) def test_spill_remote_object( @@ -509,14 +487,13 @@ def depends(arg): # Test passing the spilled object as an arg to another task. ray.get(depends.remote(ref)) - assert_no_thrashing(cluster.address) @pytest.mark.skipif(platform.system() == "Windows", reason="Hangs on Windows.") def test_spill_objects_automatically(fs_only_object_spilling_config, shutdown_only): # Limit our object store to 75 MiB of memory. object_spilling_config, _ = fs_only_object_spilling_config - address = ray.init( + ray.init( num_cpus=1, object_store_memory=75 * 1024 * 1024, _system_config={ @@ -548,7 +525,6 @@ def test_spill_objects_automatically(fs_only_object_spilling_config, shutdown_on solution = solution_buffer[index] sample = ray.get(ref, timeout=None) assert np.array_equal(sample, solution) - assert_no_thrashing(address["address"]) @pytest.mark.skipif( @@ -558,7 +534,7 @@ def test_spill_objects_automatically(fs_only_object_spilling_config, shutdown_on def test_unstable_spill_objects_automatically(unstable_spilling_config, shutdown_only): # Limit our object store to 75 MiB of memory. object_spilling_config, _ = unstable_spilling_config - address = ray.init( + ray.init( num_cpus=1, object_store_memory=75 * 1024 * 1024, _system_config={ @@ -588,13 +564,12 @@ def test_unstable_spill_objects_automatically(unstable_spilling_config, shutdown solution = solution_buffer[index] sample = ray.get(ref, timeout=None) assert np.array_equal(sample, solution) - assert_no_thrashing(address["address"]) def test_slow_spill_objects_automatically(slow_spilling_config, shutdown_only): # Limit our object store to 75 MiB of memory. object_spilling_config, _ = slow_spilling_config - address = ray.init( + ray.init( num_cpus=1, object_store_memory=75 * 1024 * 1024, _system_config={ @@ -626,7 +601,6 @@ def test_slow_spill_objects_automatically(slow_spilling_config, shutdown_only): solution = solution_buffer[index] sample = ray.get(ref, timeout=None) assert np.array_equal(sample, solution) - assert_no_thrashing(address["address"]) def test_spill_stats(object_spilling_config, shutdown_only): @@ -662,27 +636,13 @@ def f(): assert "Spilled 200 MiB, 4 objects" in s, s assert "Restored 150 MiB, 3 objects" in s, s - # Test if consumed bytes are correctly calculated. - obj = ray.put(np.zeros(30 * 1024 * 1024, dtype=np.uint8)) - - @ray.remote - def func_with_ref(obj): - return True - - ray.get(func_with_ref.remote(obj)) - - s = memory_summary(address=address["address"], stats_only=True) - # 50MB * 5 references + 30MB used for task execution. - assert "Objects consumed by Ray tasks: 280 MiB." in s, s - assert_no_thrashing(address["address"]) - @pytest.mark.skipif(platform.system() == "Darwin", reason="Failing on macOS.") @pytest.mark.asyncio @pytest.mark.parametrize("is_async", [False, True]) async def test_spill_during_get(object_spilling_config, shutdown_only, is_async): object_spilling_config, _ = object_spilling_config - address = ray.init( + ray.init( num_cpus=1, object_store_memory=100 * 1024 * 1024, _system_config={ @@ -735,7 +695,6 @@ def f(): assert duration <= timedelta( seconds=timeout_seconds ), "Concurrent gets took too long. Maybe IO workers are not started properly." # noqa: E501 - assert_no_thrashing(address["address"]) @pytest.mark.parametrize( diff --git a/python/ray/tests/test_object_spilling_2.py b/python/ray/tests/test_object_spilling_2.py index 1adbd389658d..7828edb96e51 100644 --- a/python/ray/tests/test_object_spilling_2.py +++ b/python/ray/tests/test_object_spilling_2.py @@ -11,7 +11,7 @@ import ray from ray._common.test_utils import wait_for_condition from ray._private.test_utils import run_string_as_driver -from ray.tests.test_object_spilling import assert_no_thrashing, is_dir_empty +from ray.tests.test_object_spilling import is_dir_empty from ray._private.external_storage import ( FileSystemStorage, ) @@ -54,7 +54,6 @@ def test_delete_objects(object_spilling_config, shutdown_only): lambda: is_dir_empty(temp_folder, ray_context["node_id"]), timeout=condition_wait_timeout, ) - assert_no_thrashing(ray_context["address"]) def test_delete_objects_delete_while_creating(object_spilling_config, shutdown_only): @@ -96,7 +95,6 @@ def test_delete_objects_delete_while_creating(object_spilling_config, shutdown_o lambda: is_dir_empty(temp_folder, ray_context["node_id"]), timeout=condition_wait_timeout, ) - assert_no_thrashing(ray_context["address"]) @pytest.mark.skipif(platform.system() in ["Windows"], reason="Failing on Windows.") @@ -160,7 +158,6 @@ def wait_until_actor_dead(): lambda: is_dir_empty(temp_folder, ray_context["node_id"]), timeout=condition_wait_timeout, ) - assert_no_thrashing(ray_context["address"]) @pytest.mark.skipif(platform.system() in ["Windows"], reason="Failing on Windows.") @@ -274,14 +271,13 @@ def wait_until_actor_dead(actor): lambda: is_dir_empty(temp_folder, worker_node2.node_id), timeout=condition_wait_timeout, ) - assert_no_thrashing(cluster.address) def test_fusion_objects(fs_only_object_spilling_config, shutdown_only): # Limit our object store to 75 MiB of memory. object_spilling_config, temp_folder = fs_only_object_spilling_config min_spilling_size = 10 * 1024 * 1024 - address = ray.init( + ray.init( object_store_memory=75 * 1024 * 1024, _system_config={ "max_io_workers": 3, @@ -327,13 +323,12 @@ def test_fusion_objects(fs_only_object_spilling_config, shutdown_only): if file_size >= min_spilling_size: is_test_passing = True assert is_test_passing - assert_no_thrashing(address["address"]) # https://github.com/ray-project/ray/issues/12912 def test_release_resource(object_spilling_config, shutdown_only): object_spilling_config, temp_folder = object_spilling_config - address = ray.init( + ray.init( num_cpus=1, object_store_memory=75 * 1024 * 1024, _system_config={ @@ -362,7 +357,6 @@ def f(dep): canary = sneaky_task_tries_to_steal_released_resources.remote() ready, _ = ray.wait([canary], timeout=2) assert not ready - assert_no_thrashing(address["address"]) def test_spill_objects_on_object_transfer( @@ -419,7 +413,6 @@ def allocate(*args): # spilling. tasks = [foo.remote(*task_args) for task_args in args] ray.get(tasks) - assert_no_thrashing(cluster.address) @pytest.mark.skipif( diff --git a/python/ray/tests/test_object_spilling_3.py b/python/ray/tests/test_object_spilling_3.py index 3ab19d65a00c..a74596088eee 100644 --- a/python/ray/tests/test_object_spilling_3.py +++ b/python/ray/tests/test_object_spilling_3.py @@ -14,7 +14,7 @@ import ray from ray._common.test_utils import wait_for_condition from ray.cluster_utils import Cluster, cluster_not_supported -from ray.tests.test_object_spilling import assert_no_thrashing, is_dir_empty +from ray.tests.test_object_spilling import is_dir_empty # Note: Disk write speed can be as low as 6 MiB/s in AWS Mac instances, so we have to # increase the timeout. @@ -82,7 +82,6 @@ def test_multiple_directories(tmp_path, shutdown_only): for temp_dir in temp_dirs: temp_folder = temp_dir wait_for_condition(lambda: is_dir_empty(temp_folder, ray_context["node_id"])) - assert_no_thrashing(ray_context["address"]) # Now kill ray and see all directories are deleted. print("Check directories are deleted...") @@ -296,7 +295,7 @@ def run_workload(): def test_spill_deadlock(object_spilling_config, shutdown_only): object_spilling_config, _ = object_spilling_config # Limit our object store to 75 MiB of memory. - address = ray.init( + ray.init( object_store_memory=75 * 1024 * 1024, _system_config={ "max_io_workers": 1, @@ -321,7 +320,6 @@ def test_spill_deadlock(object_spilling_config, shutdown_only): ref = random.choice(replay_buffer) sample = ray.get(ref, timeout=None) assert np.array_equal(sample, arr) - assert_no_thrashing(address["address"]) def test_spill_reconstruction_errors(ray_start_cluster, object_spilling_config): diff --git a/src/mock/ray/object_manager/plasma/client.h b/src/mock/ray/object_manager/plasma/client.h index 52ef1fa825b2..8e5905c73463 100644 --- a/src/mock/ray/object_manager/plasma/client.h +++ b/src/mock/ray/object_manager/plasma/client.h @@ -41,8 +41,7 @@ class MockPlasmaClient : public PlasmaClientInterface { Get, (const std::vector &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker), + std::vector *object_buffers), (override)); MOCK_METHOD(Status, diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index dcf6e223b2c3..7bc5ef3e7950 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -185,10 +185,7 @@ Status CoreWorkerPlasmaStoreProvider::PullObjectsAndGetFromPlasmaStore( RAY_RETURN_NOT_OK(raylet_client_->AsyncGetObjects(batch_ids, owner_addresses)); std::vector plasma_results; - RAY_RETURN_NOT_OK(store_client_->Get(batch_ids, - timeout_ms, - &plasma_results, - /*is_from_worker=*/true)); + RAY_RETURN_NOT_OK(store_client_->Get(batch_ids, timeout_ms, &plasma_results)); // Add successfully retrieved objects to the result map and remove them from // the set of IDs to get. @@ -225,11 +222,9 @@ Status CoreWorkerPlasmaStoreProvider::GetIfLocal( const std::vector &object_ids, absl::flat_hash_map> *results) { std::vector plasma_results; - // Since this path is used only for spilling, we should set is_from_worker: false. RAY_RETURN_NOT_OK(store_client_->Get(object_ids, /*timeout_ms=*/0, - &plasma_results, - /*is_from_worker=*/false)); + &plasma_results)); for (size_t i = 0; i < object_ids.size(); i++) { if (plasma_results[i].data != nullptr || plasma_results[i].metadata != nullptr) { diff --git a/src/ray/object_manager/object_buffer_pool.cc b/src/ray/object_manager/object_buffer_pool.cc index 5edb66791642..e5f55b2266bf 100644 --- a/src/ray/object_manager/object_buffer_pool.cc +++ b/src/ray/object_manager/object_buffer_pool.cc @@ -80,8 +80,7 @@ ObjectBufferPool::CreateObjectReader(const ObjectID &object_id, std::vector object_ids{object_id}; std::vector object_buffers(1); - RAY_CHECK_OK( - store_client_->Get(object_ids, 0, &object_buffers, /*is_from_worker=*/false)); + RAY_CHECK_OK(store_client_->Get(object_ids, 0, &object_buffers)); if (object_buffers[0].data == nullptr) { RAY_LOG(INFO) << "Failed to get a chunk of the object: " << object_id diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index b073c16cb5d3..a6bdead01cfe 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -802,7 +802,6 @@ void ObjectManager::FillObjectStoreStats(rpc::GetNodeStatsReply *reply) const { plasma::plasma_store_runner->GetFallbackAllocated()); stats->set_object_store_bytes_avail(config_.object_store_memory); stats->set_num_local_objects(local_objects_.size()); - stats->set_consumed_bytes(plasma::plasma_store_runner->GetConsumedBytes()); stats->set_cumulative_created_objects( plasma::plasma_store_runner->GetCumulativeCreatedObjects()); stats->set_cumulative_created_bytes( diff --git a/src/ray/object_manager/plasma/client.cc b/src/ray/object_manager/plasma/client.cc index aff25bc42fb9..3ad96b573426 100644 --- a/src/ray/object_manager/plasma/client.cc +++ b/src/ray/object_manager/plasma/client.cc @@ -131,14 +131,12 @@ class PlasmaClient::Impl : public std::enable_shared_from_this &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker); + std::vector *object_buffers); Status Get(const ObjectID *object_ids, int64_t num_objects, int64_t timeout_ms, - ObjectBuffer *object_buffers, - bool is_from_worker); + ObjectBuffer *object_buffers); Status GetExperimentalMutableObject(const ObjectID &object_id, std::unique_ptr *mutable_object); @@ -187,8 +185,7 @@ class PlasmaClient::Impl : public std::enable_shared_from_this buffer; RAY_RETURN_NOT_OK(PlasmaReceive(store_conn_, MessageType::PlasmaGetReply, &buffer)); std::vector received_object_ids(num_objects); @@ -630,13 +625,11 @@ Status PlasmaClient::Impl::GetExperimentalMutableObject( Status PlasmaClient::Impl::Get(const std::vector &object_ids, int64_t timeout_ms, - std::vector *out, - bool is_from_worker) { + std::vector *out) { std::lock_guard guard(client_mutex_); const size_t num_objects = object_ids.size(); *out = std::vector(num_objects); - return GetBuffers( - object_ids.data(), num_objects, timeout_ms, out->data(), is_from_worker); + return GetBuffers(object_ids.data(), num_objects, timeout_ms, out->data()); } Status PlasmaClient::Impl::MarkObjectUnused(const ObjectID &object_id) { @@ -922,9 +915,8 @@ Status PlasmaClient::TryCreateImmediately(const ObjectID &object_id, Status PlasmaClient::Get(const std::vector &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker) { - return impl_->Get(object_ids, timeout_ms, object_buffers, is_from_worker); + std::vector *object_buffers) { + return impl_->Get(object_ids, timeout_ms, object_buffers); } Status PlasmaClient::GetExperimentalMutableObject( @@ -932,8 +924,7 @@ Status PlasmaClient::GetExperimentalMutableObject( // First make sure the object is in scope. The ObjectBuffer will keep the // value pinned in the plasma store. std::vector object_buffers; - RAY_RETURN_NOT_OK(impl_->Get( - {object_id}, /*timeout_ms=*/0, &object_buffers, /*is_from_worker=*/true)); + RAY_RETURN_NOT_OK(impl_->Get({object_id}, /*timeout_ms=*/0, &object_buffers)); if (!object_buffers[0].data) { return Status::Invalid( "Experimental mutable object must be in the local object store to register as " diff --git a/src/ray/object_manager/plasma/client.h b/src/ray/object_manager/plasma/client.h index 260d6846f455..dcf4bdfef3f1 100644 --- a/src/ray/object_manager/plasma/client.h +++ b/src/ray/object_manager/plasma/client.h @@ -120,12 +120,10 @@ class PlasmaClientInterface { /// \param timeout_ms The amount of time in milliseconds to wait before this /// request times out. If this value is -1, then no timeout is set. /// \param[out] object_buffers The object results. - /// \param is_from_worker Whether or not if the Get request comes from a Ray workers. /// \return The return status. virtual Status Get(const std::vector &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker) = 0; + std::vector *object_buffers) = 0; /// Get an experimental mutable object. /// @@ -264,8 +262,7 @@ class PlasmaClient : public PlasmaClientInterface { Status Get(const std::vector &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker) override; + std::vector *object_buffers) override; Status GetExperimentalMutableObject( const ObjectID &object_id, std::unique_ptr *mutable_object) override; diff --git a/src/ray/object_manager/plasma/get_request_queue.cc b/src/ray/object_manager/plasma/get_request_queue.cc index a4a44ae8998d..286440f3778b 100644 --- a/src/ray/object_manager/plasma/get_request_queue.cc +++ b/src/ray/object_manager/plasma/get_request_queue.cc @@ -22,14 +22,12 @@ namespace plasma { GetRequest::GetRequest(instrumented_io_context &io_context, const std::shared_ptr &client, const std::vector &object_ids, - bool is_from_worker, int64_t num_unique_objects_to_wait_for) : client(client), object_ids(object_ids.begin(), object_ids.end()), objects(object_ids.size()), num_unique_objects_to_wait_for(num_unique_objects_to_wait_for), num_unique_objects_satisfied(0), - is_from_worker(is_from_worker), timer_(io_context) {} void GetRequest::AsyncWait( @@ -55,12 +53,11 @@ bool GetRequest::IsRemoved() const { return is_removed_; } void GetRequestQueue::AddRequest(const std::shared_ptr &client, const std::vector &object_ids, - int64_t timeout_ms, - bool is_from_worker) { + int64_t timeout_ms) { const absl::flat_hash_set unique_ids(object_ids.begin(), object_ids.end()); // Create a get request for this object. - auto get_request = std::make_shared( - io_context_, client, object_ids, is_from_worker, unique_ids.size()); + auto get_request = + std::make_shared(io_context_, client, object_ids, unique_ids.size()); for (const auto &object_id : unique_ids) { // Check if this object is already present locally. If so, record that the object is // being used and mark it as accounted for. diff --git a/src/ray/object_manager/plasma/get_request_queue.h b/src/ray/object_manager/plasma/get_request_queue.h index 35f96e7f9010..96387999d2d8 100644 --- a/src/ray/object_manager/plasma/get_request_queue.h +++ b/src/ray/object_manager/plasma/get_request_queue.h @@ -35,7 +35,6 @@ struct GetRequest { GetRequest(instrumented_io_context &io_context, const std::shared_ptr &client, const std::vector &object_ids, - bool is_from_worker, int64_t num_unique_objects_to_wait_for); /// The client that called get. std::shared_ptr client; @@ -49,9 +48,6 @@ struct GetRequest { /// The number of object requests in this wait request that are already /// satisfied. int64_t num_unique_objects_satisfied; - /// Whether or not the request comes from the core worker. It is used to track the size - /// of total objects that are consumed by core worker. - const bool is_from_worker; void AsyncWait(int64_t timeout_ms, std::function on_timeout); @@ -90,14 +86,13 @@ class GetRequestQueue { /// \param client the client where the request comes from. /// \param object_ids the object ids to get. /// \param timeout_ms timeout in millisecond, -1 is used to indicate that no timer - /// should be set. \param is_from_worker whether the get request from a worker or not. + /// should be set. /// \param object_callback the callback function called once any object has been /// satisfied. \param all_objects_callback the callback function called when all objects /// has been satisfied. void AddRequest(const std::shared_ptr &client, const std::vector &object_ids, - int64_t timeout_ms, - bool is_from_worker); + int64_t timeout_ms); /// Remove all of the GetRequests for a given client. /// diff --git a/src/ray/object_manager/plasma/plasma.fbs b/src/ray/object_manager/plasma/plasma.fbs index 7155d7c5be0b..f64e450da7bc 100644 --- a/src/ray/object_manager/plasma/plasma.fbs +++ b/src/ray/object_manager/plasma/plasma.fbs @@ -211,8 +211,6 @@ table PlasmaGetRequest { object_ids: [string]; // The number of milliseconds before the request should timeout. timeout_ms: long; - // Whether or not the get request is from the core worker. It is used to record how many bytes are consumed by core workers. - is_from_worker: bool; } table PlasmaGetReply { diff --git a/src/ray/object_manager/plasma/protocol.cc b/src/ray/object_manager/plasma/protocol.cc index 002da9fa67fc..153de7181d28 100644 --- a/src/ray/object_manager/plasma/protocol.cc +++ b/src/ray/object_manager/plasma/protocol.cc @@ -586,19 +586,17 @@ Status ReadConnectReply(uint8_t *data, size_t size, int64_t *memory_capacity) { Status SendGetRequest(const std::shared_ptr &store_conn, const ObjectID *object_ids, int64_t num_objects, - int64_t timeout_ms, - bool is_from_worker) { + int64_t timeout_ms) { flatbuffers::FlatBufferBuilder fbb; auto message = fb::CreatePlasmaGetRequest( - fbb, ToFlatbuffer(&fbb, object_ids, num_objects), timeout_ms, is_from_worker); + fbb, ToFlatbuffer(&fbb, object_ids, num_objects), timeout_ms); return PlasmaSend(store_conn, MessageType::PlasmaGetRequest, &fbb, message); } Status ReadGetRequest(const uint8_t *data, size_t size, std::vector &object_ids, - int64_t *timeout_ms, - bool *is_from_worker) { + int64_t *timeout_ms) { RAY_DCHECK(data); auto message = flatbuffers::GetRoot(data); RAY_DCHECK(VerifyFlatbuffer(message, data, size)); @@ -610,7 +608,6 @@ Status ReadGetRequest(const uint8_t *data, object_ids.push_back(ObjectID::FromBinary(object_id)); } *timeout_ms = message->timeout_ms(); - *is_from_worker = message->is_from_worker(); return Status::OK(); } diff --git a/src/ray/object_manager/plasma/protocol.h b/src/ray/object_manager/plasma/protocol.h index 154f8b8085e2..e6d4921895fe 100644 --- a/src/ray/object_manager/plasma/protocol.h +++ b/src/ray/object_manager/plasma/protocol.h @@ -147,14 +147,12 @@ Status ReadSealReply(uint8_t *data, size_t size, ObjectID *object_id); Status SendGetRequest(const std::shared_ptr &store_conn, const ObjectID *object_ids, int64_t num_objects, - int64_t timeout_ms, - bool is_from_worker); + int64_t timeout_ms); Status ReadGetRequest(const uint8_t *data, size_t size, std::vector &object_ids, - int64_t *timeout_ms, - bool *is_from_worker); + int64_t *timeout_ms); Status SendGetReply(const std::shared_ptr &client, ObjectID object_ids[], diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index c0f252210f79..976189682ae5 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -98,7 +98,6 @@ PlasmaStore::PlasmaStore(instrumented_io_context &main_service, mutex_.AssertHeld(); return GetDebugDump(); }), - total_consumed_bytes_(0), get_request_queue_( io_context_, object_lifecycle_mgr_, @@ -211,9 +210,6 @@ void PlasmaStore::ReturnFromGet(const std::shared_ptr &get_request) fds_to_send.insert(fd); store_fds.push_back(fd); mmap_sizes.push_back(object.mmap_size); - if (get_request->is_from_worker) { - total_consumed_bytes_ += object.data_size + object.metadata_size; - } } } // Send the get reply to the client. @@ -241,12 +237,11 @@ void PlasmaStore::ReturnFromGet(const std::shared_ptr &get_request) void PlasmaStore::ProcessGetRequest(const std::shared_ptr &client, const std::vector &object_ids, - int64_t timeout_ms, - bool is_from_worker) { + int64_t timeout_ms) { for (const auto &object_id : object_ids) { RAY_LOG(DEBUG) << "Adding get request " << object_id; } - get_request_queue_.AddRequest(client, object_ids, timeout_ms, is_from_worker); + get_request_queue_.AddRequest(client, object_ids, timeout_ms); } bool PlasmaStore::RemoveFromClientObjectIds(const ObjectID &object_id, @@ -431,10 +426,8 @@ Status PlasmaStore::ProcessClientMessage(std::shared_ptr client, case fb::MessageType::PlasmaGetRequest: { std::vector object_ids_to_get; int64_t timeout_ms; - bool is_from_worker; - RAY_RETURN_NOT_OK(ReadGetRequest( - input, input_size, object_ids_to_get, &timeout_ms, &is_from_worker)); - ProcessGetRequest(client, object_ids_to_get, timeout_ms, is_from_worker); + RAY_RETURN_NOT_OK(ReadGetRequest(input, input_size, object_ids_to_get, &timeout_ms)); + ProcessGetRequest(client, object_ids_to_get, timeout_ms); } break; case fb::MessageType::PlasmaReleaseRequest: { // May unmap: client knows a fallback-allocated fd is involved. @@ -562,8 +555,6 @@ void PlasmaStore::ReplyToCreateClient(const std::shared_ptr &client, } } -int64_t PlasmaStore::GetConsumedBytes() { return total_consumed_bytes_; } - bool PlasmaStore::IsObjectSpillable(const ObjectID &object_id) { absl::MutexLock lock(&mutex_); auto entry = object_lifecycle_mgr_.GetObject(object_id); diff --git a/src/ray/object_manager/plasma/store.h b/src/ray/object_manager/plasma/store.h index 8691b5aeb1a4..7c68e8be1d4f 100644 --- a/src/ray/object_manager/plasma/store.h +++ b/src/ray/object_manager/plasma/store.h @@ -80,9 +80,6 @@ class PlasmaStore { /// before the object is pinned by raylet for the first time. bool IsObjectSpillable(const ObjectID &object_id) ABSL_LOCKS_EXCLUDED(mutex_); - /// Return the plasma object bytes that are consumed by core workers. - int64_t GetConsumedBytes(); - /// Return the number of plasma objects that have been created. int64_t GetCumulativeCreatedObjects() const { absl::MutexLock lock(&mutex_); @@ -172,8 +169,7 @@ class PlasmaStore { /// \param timeout_ms The timeout for the get request in milliseconds. void ProcessGetRequest(const std::shared_ptr &client, const std::vector &object_ids, - int64_t timeout_ms, - bool is_from_worker) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + int64_t timeout_ms) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); /// Process queued requests to create an object. void ProcessCreateRequests() ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); @@ -314,9 +310,6 @@ class PlasmaStore { /// Queue of object creation requests. CreateRequestQueue create_request_queue_ ABSL_GUARDED_BY(mutex_); - /// Total plasma object bytes that are consumed by core workers. - std::atomic total_consumed_bytes_; - /// Whether we have dumped debug information on OOM yet. This limits dump /// (which can be expensive) to once per OOM event. bool dumped_on_oom_ ABSL_GUARDED_BY(mutex_) = false; diff --git a/src/ray/object_manager/plasma/store_runner.cc b/src/ray/object_manager/plasma/store_runner.cc index 9ff2dc3fc76d..b07ed11a8b3d 100644 --- a/src/ray/object_manager/plasma/store_runner.cc +++ b/src/ray/object_manager/plasma/store_runner.cc @@ -158,8 +158,6 @@ bool PlasmaStoreRunner::IsPlasmaObjectSpillable(const ObjectID &object_id) { return store_->IsObjectSpillable(object_id); } -int64_t PlasmaStoreRunner::GetConsumedBytes() { return store_->GetConsumedBytes(); } - int64_t PlasmaStoreRunner::GetFallbackAllocated() const { absl::MutexLock lock(&store_runner_mutex_); return allocator_ ? allocator_->FallbackAllocated() : 0; diff --git a/src/ray/object_manager/plasma/store_runner.h b/src/ray/object_manager/plasma/store_runner.h index 635c62efc0f3..23e3fe9e607a 100644 --- a/src/ray/object_manager/plasma/store_runner.h +++ b/src/ray/object_manager/plasma/store_runner.h @@ -40,8 +40,6 @@ class PlasmaStoreRunner { bool IsPlasmaObjectSpillable(const ObjectID &object_id); - int64_t GetConsumedBytes(); - int64_t GetCumulativeCreatedObjects() const { return store_->GetCumulativeCreatedObjects(); } diff --git a/src/ray/object_manager/test/get_request_queue_test.cc b/src/ray/object_manager/test/get_request_queue_test.cc index b37beac7fda8..e3e8c40ba615 100644 --- a/src/ray/object_manager/test/get_request_queue_test.cc +++ b/src/ray/object_manager/test/get_request_queue_test.cc @@ -136,7 +136,7 @@ TEST_F(GetRequestQueueTest, TestObjectSealed) { /// Mock the object already sealed. MarkObject(object1, ObjectState::PLASMA_SEALED); EXPECT_CALL(object_lifecycle_manager, GetObject(_)).Times(1).WillOnce(Return(&object1)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); EXPECT_TRUE(satisfied); AssertNoLeak(get_request_queue); @@ -158,7 +158,7 @@ TEST_F(GetRequestQueueTest, TestObjectTimeout) { std::vector object_ids{object_id1}; MarkObject(object1, ObjectState::PLASMA_CREATED); EXPECT_CALL(object_lifecycle_manager, GetObject(_)).Times(1).WillOnce(Return(&object1)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); /// This trigger timeout io_context_.run_one(); promise.get_future().get(); @@ -184,7 +184,7 @@ TEST_F(GetRequestQueueTest, TestObjectNotSealed) { EXPECT_CALL(object_lifecycle_manager, GetObject(_)) .Times(2) .WillRepeatedly(Return(&object1)); - get_request_queue.AddRequest(client, object_ids, /*timeout_ms*/ -1, false); + get_request_queue.AddRequest(client, object_ids, /*timeout_ms*/ -1); MarkObject(object1, ObjectState::PLASMA_SEALED); get_request_queue.MarkObjectSealed(object_id1); promise.get_future().get(); @@ -219,7 +219,7 @@ TEST_F(GetRequestQueueTest, TestMultipleObjects) { .WillRepeatedly(Return(&object1)); EXPECT_CALL(object_lifecycle_manager, GetObject(Eq(object_id2))) .WillRepeatedly(Return(&object2)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); promise1.get_future().get(); EXPECT_FALSE(IsGetRequestExist(get_request_queue, object_id1)); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id2)); @@ -266,7 +266,7 @@ TEST_F(GetRequestQueueTest, TestFallbackAllocatedFdArePassed) { .WillRepeatedly(Return(&object1)); EXPECT_CALL(object_lifecycle_manager, GetObject(Eq(object_id2))) .WillRepeatedly(Return(&object2)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); promise1.get_future().get(); EXPECT_FALSE(IsGetRequestExist(get_request_queue, object_id1)); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id2)); @@ -299,7 +299,7 @@ TEST_F(GetRequestQueueTest, TestDuplicateObjects) { .Times(2) .WillOnce(Return(&object1)) .WillOnce(Return(&object2)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id1)); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id2)); EXPECT_EQ(1, GetRequestCount(get_request_queue, object_id1)); @@ -325,7 +325,7 @@ TEST_F(GetRequestQueueTest, TestRemoveAll) { .Times(2) .WillOnce(Return(&object1)) .WillOnce(Return(&object2)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id1)); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id2)); @@ -356,7 +356,7 @@ TEST_F(GetRequestQueueTest, TestRemoveTwice) { .Times(2) .WillOnce(Return(&object1)) .WillOnce(Return(&object2)); - get_request_queue.AddRequest(client, object_ids, 1000, false); + get_request_queue.AddRequest(client, object_ids, 1000); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id1)); EXPECT_TRUE(IsGetRequestExist(get_request_queue, object_id2)); diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index 6dd253ac8c6e..4a6da212b2dd 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -226,18 +226,16 @@ message ObjectStoreStats { int64 object_store_bytes_fallback = 10; // The number of local objects total. int64 num_local_objects = 11; - // The number of plasma object bytes that are consumed by core workers. - int64 consumed_bytes = 12; // Whether this node has object pulls queued. This can happen if // the node has more pull requests than available object store // memory. - bool object_pulls_queued = 13; + bool object_pulls_queued = 12; // The number of primary copies of objects in the local node. - int64 num_object_store_primary_copies = 14; + int64 num_object_store_primary_copies = 13; // The total number of objects that have been allocated to plasma. - int64 cumulative_created_objects = 15; + int64 cumulative_created_objects = 14; // The total number of bytes that have been allocated to plasma objects. - int64 cumulative_created_bytes = 16; + int64 cumulative_created_bytes = 15; } message GetNodeStatsReply { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index ac8cfb4732f5..c6371cffbb9c 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2318,9 +2318,7 @@ bool NodeManager::GetObjectsFromPlasma(const std::vector &object_ids, // heavy load, then this request can still block the NodeManager event loop // since we must wait for the plasma store's reply. We should consider using // an `AsyncGet` instead. - if (!store_client_ - .Get(object_ids, /*timeout_ms=*/0, &plasma_results, /*is_from_worker=*/false) - .ok()) { + if (!store_client_.Get(object_ids, /*timeout_ms=*/0, &plasma_results).ok()) { return false; } @@ -2467,8 +2465,6 @@ rpc::ObjectStoreStats AccumulateStoreStats( cur_store.object_store_bytes_fallback()); store_stats.set_num_local_objects(store_stats.num_local_objects() + cur_store.num_local_objects()); - store_stats.set_consumed_bytes(store_stats.consumed_bytes() + - cur_store.consumed_bytes()); if (cur_store.object_pulls_queued()) { store_stats.set_object_pulls_queued(true); } diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 5d1444186adb..9a42fcac04d7 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -131,8 +131,7 @@ class FakePlasmaClient : public plasma::PlasmaClientInterface { Status Get(const std::vector &object_ids, int64_t timeout_ms, - std::vector *object_buffers, - bool is_from_worker) override { + std::vector *object_buffers) override { for (const auto &id : object_ids) { auto &buffers = objects_in_plasma_[id]; plasma::ObjectBuffer shm_buffer{std::make_shared( From beb547dc0b49a8158a15fc337bb1b34afd51a1d3 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Fri, 8 Aug 2025 20:42:38 +0530 Subject: [PATCH 0569/1566] [core] Fix flaky test_cleanup_on_driver_exit (#55361) Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- python/ray/tests/test_multi_node.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/python/ray/tests/test_multi_node.py b/python/ray/tests/test_multi_node.py index 32d7505be64b..52acfa85bad5 100644 --- a/python/ray/tests/test_multi_node.py +++ b/python/ray/tests/test_multi_node.py @@ -78,14 +78,17 @@ def f(): def all_workers_exited(): result = True print("list of idle workers:") - for proc in psutil.process_iter(): - if ray_constants.WORKER_PROCESS_TYPE_IDLE_WORKER in proc.name(): + for proc in psutil.process_iter(attrs=["name"], ad_value=None): + if ( + proc.info["name"] + and ray_constants.WORKER_PROCESS_TYPE_IDLE_WORKER in proc.info["name"] + ): print(f"{proc}") result = False return result # Check that workers are eventually cleaned up. - wait_for_condition(all_workers_exited, timeout=15, retry_interval_ms=1000) + wait_for_condition(all_workers_exited, timeout=30, retry_interval_ms=1000) def test_error_isolation(call_ray_start): From e76376b399ec147a883e9962d7e20ce672c1035b Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Fri, 8 Aug 2025 08:31:53 -0700 Subject: [PATCH 0570/1566] [core] shortern test_aggregated_prometheus_metrics test name (#55412) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A recent PR merged a test with a fairly long name `test_aggregated_prometheus_metrics_open_telemetry`. It fails to build on windows since the test name is too long. This PR shorten it. Screenshot 2025-08-07 at 9 47 07 PM Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD | 6 +++--- ...ted_prometheus_metrics.py => test_metric_cardinality.py} | 0 2 files changed, 3 insertions(+), 3 deletions(-) rename python/ray/tests/{test_aggregated_prometheus_metrics.py => test_metric_cardinality.py} (100%) diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index c6554d195fd7..648f42885c93 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -45,7 +45,6 @@ py_test_module_list( "test_advanced_7.py", "test_advanced_8.py", "test_advanced_9.py", - "test_aggregated_prometheus_metrics.py", "test_async.py", "test_asyncio.py", "test_component_failures_2.py", @@ -58,6 +57,7 @@ py_test_module_list( "test_get_locations.py", "test_global_state.py", "test_healthcheck.py", + "test_metric_cardinality.py", "test_metrics_agent.py", "test_metrics_head.py", "test_multiprocessing.py", @@ -86,10 +86,10 @@ py_test_module_list( "RAY_experimental_enable_open_telemetry_on_core": "1", }, files = [ - "test_aggregated_prometheus_metrics.py", + "test_metric_cardinality.py", "test_metrics_agent.py", ], - name_suffix = "_open_telemetry", + name_suffix = "_otel", tags = [ "exclusive", "medium_size_python_tests_a_to_j", diff --git a/python/ray/tests/test_aggregated_prometheus_metrics.py b/python/ray/tests/test_metric_cardinality.py similarity index 100% rename from python/ray/tests/test_aggregated_prometheus_metrics.py rename to python/ray/tests/test_metric_cardinality.py From 64ed0bf0525f173842f1ee9277a6c130a82494ec Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Fri, 8 Aug 2025 19:25:21 +0200 Subject: [PATCH 0571/1566] [serve] Add warning message for serve config (#54767) ## Why are these changes needed? Updated the output of the `serve config` command in case of absence of config or deployed apps. Changes: - For `serve config` (no configuration or applications deployed): - Previous Output: `` (empty string) - New output: `No configuration was found.` --- Based on the @arvchahal's [PR](https://github.com/ray-project/ray/pull/53964). @arvchahal feel free to use these changes to update your PR if you have time for this. ## Related issue number Closes #52113 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: axreldable Signed-off-by: Douglas Strodtman --- python/ray/serve/scripts.py | 26 ++++++++++++++------------ python/ray/serve/tests/test_cli.py | 11 +++++++++-- python/ray/serve/tests/test_cli_2.py | 10 ++++++---- 3 files changed, 29 insertions(+), 18 deletions(-) diff --git a/python/ray/serve/scripts.py b/python/ray/serve/scripts.py index 44e7e2f928d0..a7ae87de680d 100644 --- a/python/ray/serve/scripts.py +++ b/python/ray/serve/scripts.py @@ -629,23 +629,25 @@ def config(address: str, name: Optional[str]): serve_details = ServeInstanceDetails( **ServeSubmissionClient(address).get_serve_details() ) + applications = serve_details.applications # Fetch app configs for all live applications on the cluster if name is None: - print( - "\n---\n\n".join( - yaml.safe_dump( - app.deployed_app_config.dict(exclude_unset=True), - sort_keys=False, - ) - for app in serve_details.applications.values() - if app.deployed_app_config is not None - ), - end="", - ) + configs = [ + yaml.safe_dump( + app.deployed_app_config.dict(exclude_unset=True), + sort_keys=False, + ) + for app in applications.values() + if app.deployed_app_config is not None + ] + if configs: + print("\n---\n\n".join(configs), end="") + else: + print("No configuration was found.") # Fetch a specific app config by name. else: - app = serve_details.applications.get(name) + app = applications.get(name) if app is None or app.deployed_app_config is None: print(f'No config has been deployed for application "{name}".') else: diff --git a/python/ray/serve/tests/test_cli.py b/python/ray/serve/tests/test_cli.py index 2ae56c31ae9e..9943093f3220 100644 --- a/python/ray/serve/tests/test_cli.py +++ b/python/ray/serve/tests/test_cli.py @@ -345,13 +345,20 @@ def fn(): serve.run(fn.bind()) def check_cli(): - info_response = subprocess.check_output(["serve", "config"]) + info_response = subprocess.check_output(["serve", "config"]).decode("utf-8") + config_response_for_absent_app = subprocess.check_output( + ["serve", "config", "-n", "absent_app"] + ).decode("utf-8") status_response = subprocess.check_output(["serve", "status"]) fetched_status = yaml.safe_load(status_response)["applications"][ SERVE_DEFAULT_APP_NAME ] - assert len(info_response) == 0 + assert info_response == "No configuration was found.\n" + assert ( + config_response_for_absent_app + == 'No config has been deployed for application "absent_app".\n' + ) assert fetched_status["status"] == "RUNNING" assert fetched_status["deployments"]["fn"]["status"] == "HEALTHY" return True diff --git a/python/ray/serve/tests/test_cli_2.py b/python/ray/serve/tests/test_cli_2.py index 881df9934a90..df267c69d8d0 100644 --- a/python/ray/serve/tests/test_cli_2.py +++ b/python/ray/serve/tests/test_cli_2.py @@ -139,16 +139,18 @@ def num_live_deployments(): # `serve config` and `serve status` should print messages indicating # nothing is deployed - def serve_config_empty(): - config_response = subprocess.check_output(["serve", "config"]) - return len(config_response) == 0 + def serve_config_empty_warning(): + config_response = subprocess.check_output(["serve", "config"]).decode( + "utf-8" + ) + return config_response == "No configuration was found.\n" def serve_status_empty(): status_response = subprocess.check_output(["serve", "status"]) status = yaml.safe_load(status_response) return len(status["applications"]) == 0 - wait_for_condition(serve_config_empty) + wait_for_condition(serve_config_empty_warning) wait_for_condition(serve_status_empty) print("`serve config` and `serve status` print empty responses.\n") From a9fe1c137cf5bc403efc8e3795b946f2267eaf94 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 8 Aug 2025 12:07:57 -0700 Subject: [PATCH 0572/1566] [ci] raydepsets: test utils (#55404) - creating test utils for shared funcs for raydepsets tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 10 ++++ ci/raydepsets/test_cli.py | 93 ++++++++++++---------------------- ci/raydepsets/testing_utils.py | 44 ++++++++++++++++ 3 files changed, 86 insertions(+), 61 deletions(-) create mode 100644 ci/raydepsets/testing_utils.py diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index 5e4a80e9fa25..d69d976b5d1f 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -50,5 +50,15 @@ py_test( deps = [ ci_require("pytest"), ":raydepsets_lib", + ":testing_utils", + ], +) + +py_library( + name = "testing_utils", + testonly = True, + srcs = ["testing_utils.py"], + deps = [ + ci_require("bazel-runfiles"), ], ) diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index 29ceb9d0d1ba..b7cb3af62b8d 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -22,6 +22,13 @@ ) from ci.raydepsets.workspace import Workspace from click.testing import CliRunner +from ci.raydepsets.testing_utils import ( + copy_data_to_tmpdir, + replace_in_file, + save_packages_to_file, + save_file_as, + append_to_file, +) _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() @@ -61,7 +68,7 @@ def test_cli_load_fail_no_config(self): def test_dependency_set_manager_init(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert manager is not None assert manager.workspace.dir == tmpdir @@ -75,7 +82,7 @@ def test_dependency_set_manager_init(self): def test_dependency_set_manager_get_depset(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) with self.assertRaises(KeyError): manager.get_depset("fake_depset") @@ -107,7 +114,7 @@ def test_compile(self): shutil.copy(compiled_file, output_file) with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], @@ -124,11 +131,11 @@ def test_compile(self): def test_compile_update_package(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) compiled_file = Path( _runfiles.Rlocation(f"{tmpdir}/requirement_constraints_test.txt") ) - _replace_in_file(compiled_file, "emoji==2.9.0", "emoji==2.10.0") + replace_in_file(compiled_file, "emoji==2.9.0", "emoji==2.10.0") output_file = Path( _runfiles.Rlocation(f"{tmpdir}/requirements_compiled.txt") ) @@ -149,7 +156,7 @@ def test_compile_update_package(self): def test_compile_by_depset_name(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) uv_cache_dir = Path(tmpdir) / "uv_cache" result = CliRunner().invoke( @@ -176,9 +183,9 @@ def test_compile_by_depset_name(self): def test_subset(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) # Add six to requirements_test_subset.txt - _save_packages_to_file( + save_packages_to_file( Path(tmpdir) / "requirements_test_subset.txt", ["six==1.16.0"], ) @@ -208,9 +215,9 @@ def test_subset(self): def test_subset_does_not_exist(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) # Add six to requirements_test_subset.txt - _save_packages_to_file( + save_packages_to_file( Path(tmpdir) / "requirements_test_subset.txt", ["six==1.16.0"], ) @@ -234,7 +241,7 @@ def test_subset_does_not_exist(self): def test_check_if_subset_exists(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) source_depset = Depset( name="general_depset", @@ -253,7 +260,7 @@ def test_check_if_subset_exists(self): def test_compile_bad_requirements(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) with self.assertRaises(RuntimeError): manager.compile( @@ -265,7 +272,7 @@ def test_compile_bad_requirements(self): def test_get_path(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert ( manager.get_path("requirements_test.txt") @@ -329,7 +336,7 @@ def test_flatten_flags(self): def test_build_graph(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert manager.build_graph is not None assert len(manager.build_graph.nodes()) == 5 @@ -351,7 +358,7 @@ def test_build_graph(self): def test_build_graph_bad_operation(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: f.write( """ @@ -368,20 +375,20 @@ def test_build_graph_bad_operation(self): def test_execute(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) def test_expand(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) - _save_packages_to_file( + copy_data_to_tmpdir(tmpdir) + save_packages_to_file( Path(tmpdir) / "requirements_expanded.txt", ["six"], ) - _save_file_as( + save_file_as( Path(tmpdir) / "requirement_constraints_test.txt", Path(tmpdir) / "requirement_constraints_expand.txt", ) - _append_to_file( + append_to_file( Path(tmpdir) / "requirement_constraints_expand.txt", "six==1.17.0", ) @@ -416,16 +423,16 @@ def test_expand(self): def test_expand_with_requirements(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) - _save_packages_to_file( + copy_data_to_tmpdir(tmpdir) + save_packages_to_file( Path(tmpdir) / "requirements_expanded.txt", ["six"], ) - _save_file_as( + save_file_as( Path(tmpdir) / "requirement_constraints_test.txt", Path(tmpdir) / "requirement_constraints_expand.txt", ) - _append_to_file( + append_to_file( Path(tmpdir) / "requirement_constraints_expand.txt", "six==1.17.0", ) @@ -453,7 +460,7 @@ def test_expand_with_requirements(self): def test_parse_build_arg_sets(self): with tempfile.TemporaryDirectory() as tmpdir: - _copy_data_to_tmpdir(tmpdir) + copy_data_to_tmpdir(tmpdir) workspace = Workspace(dir=tmpdir) config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") assert config.build_arg_sets[0].name == "py311_cpu" @@ -468,41 +475,5 @@ def test_parse_build_arg_sets(self): } -def _copy_data_to_tmpdir(tmpdir): - shutil.copytree( - _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/test_data"), - tmpdir, - dirs_exist_ok=True, - ) - - -def _replace_in_file(filepath, old, new): - with open(filepath, "r") as f: - contents = f.read() - - contents = contents.replace(old, new) - - with open(filepath, "w") as f: - f.write(contents) - - -def _save_packages_to_file(filepath, packages): - with open(filepath, "w") as f: - for package in packages: - f.write(package + "\n") - - -def _save_file_as(input_file, output_file): - with open(input_file, "rb") as f: - contents = f.read() - with open(output_file, "wb") as f: - f.write(contents) - - -def _append_to_file(filepath, new): - with open(filepath, "a") as f: - f.write(new + "\n") - - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/testing_utils.py b/ci/raydepsets/testing_utils.py new file mode 100644 index 000000000000..13d6d9b373a0 --- /dev/null +++ b/ci/raydepsets/testing_utils.py @@ -0,0 +1,44 @@ +"""Shared test utilities for raydepsets tests.""" + +import shutil +import runfiles + +_REPO_NAME = "com_github_ray_project_ray" +_runfiles = runfiles.Create() + + +def copy_data_to_tmpdir(tmpdir): + """Copy test data to a temporary directory.""" + shutil.copytree( + _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/test_data"), + tmpdir, + dirs_exist_ok=True, + ) + + +def replace_in_file(filepath, old, new): + with open(filepath, "r") as f: + contents = f.read() + + contents = contents.replace(old, new) + + with open(filepath, "w") as f: + f.write(contents) + + +def save_packages_to_file(filepath, packages): + with open(filepath, "w") as f: + for package in packages: + f.write(package + "\n") + + +def save_file_as(input_file, output_file): + with open(input_file, "rb") as f: + contents = f.read() + with open(output_file, "wb") as f: + f.write(contents) + + +def append_to_file(filepath, new): + with open(filepath, "a") as f: + f.write(new + "\n") From 70f5108811552f1946447602d871b5ea20419b00 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Fri, 8 Aug 2025 12:20:25 -0700 Subject: [PATCH 0573/1566] [Data] Deprecate `with_columns` API in favor of `with_column` (#55322) ## Why are these changes needed? `with_column` is an API designed for consuming an expression which can take an arbitrary amount of resources. This is the building block for supporting UDFs as expressions which will be added in subsequent changes. ## Related issue number DATA-1302 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 29 +++++++------ python/ray/data/expressions.py | 8 ++-- python/ray/data/tests/test_map.py | 71 +++++++++++++++---------------- 3 files changed, 53 insertions(+), 55 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index c2a3f0184854..8766434c425a 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -783,31 +783,31 @@ def _map_batches_without_batch_size_validation( return Dataset(plan, logical_plan) @PublicAPI(api_group=EXPRESSION_API_GROUP, stability="alpha") - def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": + def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Dataset": """ - Add new columns to the dataset. + Add a new column to the dataset via an expression. Examples: >>> import ray >>> from ray.data.expressions import col >>> ds = ray.data.range(100) - >>> ds.with_columns({"new_id": col("id") * 2, "new_id_2": col("id") * 3}).schema() - Column Type - ------ ---- - id int64 - new_id int64 - new_id_2 int64 + >>> ds.with_column("id_2", (col("id") * 2)).schema() + Column Type + ------ ---- + id int64 + id_2 int64 Args: - exprs: A dictionary mapping column names to expressions that define the new column values. + column_name: The name of the new column. + expr: An expression that defines the new column values. + **ray_remote_args: Additional resource requirements to request from + Ray (e.g., num_gpus=1 to request GPUs for the map tasks). See + :func:`ray.remote` for details. Returns: - A new dataset with the added columns evaluated via expressions. + A new dataset with the added column evaluated via the expression. """ - if not exprs: - raise ValueError("at least one expression is required") - from ray.data._internal.logical.operators.map_operator import Project plan = self._plan.copy() @@ -815,7 +815,8 @@ def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": self._logical_plan.dag, cols=None, cols_rename=None, - exprs=exprs, + exprs={column_name: expr}, + ray_remote_args=ray_remote_args, ) logical_plan = LogicalPlan(project_op, self.context) return Dataset(plan, logical_plan) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index cf59aa30b5e0..3ba8f48356da 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -259,10 +259,10 @@ def col(name: str) -> ColumnExpr: >>> # Reference columns in an expression >>> expr = col("price") * col("quantity") >>> - >>> # Use with Dataset.with_columns() + >>> # Use with Dataset.with_column() >>> import ray >>> ds = ray.data.from_items([{"price": 10, "quantity": 2}]) - >>> ds = ds.with_columns({"total": col("price") * col("quantity")}) + >>> ds = ds.with_column("total", col("price") * col("quantity")) """ return ColumnExpr(name) @@ -293,10 +293,10 @@ def lit(value: Any) -> LiteralExpr: >>> # Use in expressions >>> expr = col("age") + lit(1) # Add 1 to age column >>> - >>> # Use with Dataset.with_columns() + >>> # Use with Dataset.with_column() >>> import ray >>> ds = ray.data.from_items([{"age": 25}, {"age": 30}]) - >>> ds = ds.with_columns({"age_plus_one": col("age") + lit(1)}) + >>> ds = ds.with_column("age_plus_one", col("age") + lit(1)) """ return LiteralExpr(value) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 6c3f9c6d4a37..0bfb35f68f17 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -2286,52 +2286,53 @@ def func(x, y): @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) @pytest.mark.parametrize( - "exprs, expected_value", + "column_name, expr, expected_value", [ # Arithmetic operations - ({"result": col("id") + 1}, 1), # 0 + 1 = 1 - ({"result": col("id") + 5}, 5), # 0 + 5 = 5 - ({"result": col("id") - 1}, -1), # 0 - 1 = -1 - ({"result": col("id") * 2}, 0), # 0 * 2 = 0 - ({"result": col("id") * 3}, 0), # 0 * 3 = 0 - ({"result": col("id") / 2}, 0.0), # 0 / 2 = 0.0 + ("result", col("id") + 1, 1), # 0 + 1 = 1 + ("result", col("id") + 5, 5), # 0 + 5 = 5 + ("result", col("id") - 1, -1), # 0 - 1 = -1 + ("result", col("id") * 2, 0), # 0 * 2 = 0 + ("result", col("id") * 3, 0), # 0 * 3 = 0 + ("result", col("id") / 2, 0.0), # 0 / 2 = 0.0 # More complex arithmetic - ({"result": (col("id") + 1) * 2}, 2), # (0 + 1) * 2 = 2 - ({"result": (col("id") * 2) + 3}, 3), # 0 * 2 + 3 = 3 + ("result", (col("id") + 1) * 2, 2), # (0 + 1) * 2 = 2 + ("result", (col("id") * 2) + 3, 3), # 0 * 2 + 3 = 3 # Comparison operations - ({"result": col("id") > 0}, False), # 0 > 0 = False - ({"result": col("id") >= 0}, True), # 0 >= 0 = True - ({"result": col("id") < 1}, True), # 0 < 1 = True - ({"result": col("id") <= 0}, True), # 0 <= 0 = True - ({"result": col("id") == 0}, True), # 0 == 0 = True + ("result", col("id") > 0, False), # 0 > 0 = False + ("result", col("id") >= 0, True), # 0 >= 0 = True + ("result", col("id") < 1, True), # 0 < 1 = True + ("result", col("id") <= 0, True), # 0 <= 0 = True + ("result", col("id") == 0, True), # 0 == 0 = True # Operations with literals - ({"result": col("id") + lit(10)}, 10), # 0 + 10 = 10 - ({"result": col("id") * lit(5)}, 0), # 0 * 5 = 0 - ({"result": lit(2) + col("id")}, 2), # 2 + 0 = 2 - ({"result": lit(10) / (col("id") + 1)}, 10.0), # 10 / (0 + 1) = 10.0 + ("result", col("id") + lit(10), 10), # 0 + 10 = 10 + ("result", col("id") * lit(5), 0), # 0 * 5 = 0 + ("result", lit(2) + col("id"), 2), # 2 + 0 = 2 + ("result", lit(10) / (col("id") + 1), 10.0), # 10 / (0 + 1) = 10.0 ], ) -def test_with_columns( +def test_with_column( ray_start_regular_shared, - exprs, + column_name, + expr, expected_value, target_max_block_size_infinite_or_default, ): - """Verify that `with_columns` works with various operations.""" - ds = ray.data.range(5).with_columns(exprs) + """Verify that `with_column` works with various operations.""" + ds = ray.data.range(5).with_column(column_name, expr) result = ds.take(1)[0] assert result["id"] == 0 - assert result["result"] == expected_value + assert result[column_name] == expected_value @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) -def test_with_columns_nonexistent_column( +def test_with_column_nonexistent_column( ray_start_regular_shared, target_max_block_size_infinite_or_default ): """Verify that referencing a non-existent column with col() raises an exception.""" @@ -2340,26 +2341,22 @@ def test_with_columns_nonexistent_column( # Try to reference a non-existent column - this should raise an exception with pytest.raises(UserCodeException): - ds.with_columns({"result": col("nonexistent_column") + 1}).materialize() + ds.with_column("result", col("nonexistent_column") + 1).materialize() @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) -def test_with_columns_multiple_expressions( +def test_with_column_multiple_expressions( ray_start_regular_shared, target_max_block_size_infinite_or_default ): - """Verify that `with_columns` correctly handles multiple expressions at once.""" + """Verify that `with_column` correctly handles multiple expressions at once.""" ds = ray.data.range(5) - exprs = { - "plus_one": col("id") + 1, - "times_two": col("id") * 2, - "ten_minus_id": 10 - col("id"), - } - - ds = ds.with_columns(exprs) + ds = ds.with_column("plus_one", col("id") + 1) + ds = ds.with_column("times_two", col("id") * 2) + ds = ds.with_column("ten_minus_id", 10 - col("id")) first_row = ds.take(1)[0] assert first_row["id"] == 0 From e8d8f3554466062039d8c049befad89a65dcc321 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 8 Aug 2025 14:43:11 -0500 Subject: [PATCH 0574/1566] [core] Split Raylet IPC and RPC clients (#55366) Splits the local Raylet IPC client out from the Raylet gRPC client. These have different semantic behaviors (ordering, for example), and shouldn't be coupled. Some red flags for current setup: - We have an alternate constructor that only constructs the gRPC client. - We have to make a manual request in `core_worker_process.cc` on the connection before constructing the client. There is a lot more cleanup to be done in the IPC client implementation, but trying not to boil the ocean here... Closes https://github.com/ray-project/ray/issues/54948 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/fakes/ray/rpc/raylet/raylet_client.h | 5 - src/mock/ray/raylet_client/raylet_client.h | 4 - src/ray/core_worker/BUILD.bazel | 7 +- src/ray/core_worker/common.h | 1 - src/ray/core_worker/core_worker.cc | 51 +-- src/ray/core_worker/core_worker.h | 14 +- src/ray/core_worker/core_worker_process.cc | 105 ++---- src/ray/core_worker/core_worker_process.h | 13 - .../memory_store/memory_store.cc | 11 +- .../memory_store/memory_store.h | 9 +- .../store_provider/plasma_store_provider.cc | 25 +- .../store_provider/plasma_store_provider.h | 7 +- .../core_worker/transport/scheduling_util.cc | 6 +- .../core_worker/transport/scheduling_util.h | 8 +- src/ray/ipc/BUILD.bazel | 18 + src/ray/ipc/raylet_ipc_client.cc | 312 ++++++++++++++++++ src/ray/ipc/raylet_ipc_client.h | 221 +++++++++++++ src/ray/raylet/node_manager.cc | 2 +- src/ray/raylet/node_manager.h | 1 + src/ray/raylet_client/BUILD.bazel | 14 - src/ray/raylet_client/raylet_client.cc | 209 ------------ src/ray/raylet_client/raylet_client.h | 137 -------- src/ray/raylet_client/raylet_connection.cc | 69 ---- src/ray/raylet_client/raylet_connection.h | 66 ---- src/ray/rpc/BUILD.bazel | 1 - 25 files changed, 657 insertions(+), 659 deletions(-) create mode 100644 src/ray/ipc/raylet_ipc_client.cc create mode 100644 src/ray/ipc/raylet_ipc_client.h delete mode 100644 src/ray/raylet_client/raylet_connection.cc delete mode 100644 src/ray/raylet_client/raylet_connection.h diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 2a2ddcb068bf..8672f20cb20f 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -73,11 +73,6 @@ class FakeRayletClient : public RayletClientInterface { const std::vector &bundles_in_use, const rpc::ClientCallback &callback) override {} - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag) override { - return Status::OK(); - } - void ReportWorkerBacklog( const WorkerID &worker_id, const std::vector &backlog_reports) override {} diff --git a/src/mock/ray/raylet_client/raylet_client.h b/src/mock/ray/raylet_client/raylet_client.h index d638862ef26c..e2dd61a9c88f 100644 --- a/src/mock/ray/raylet_client/raylet_client.h +++ b/src/mock/ray/raylet_client/raylet_client.h @@ -16,10 +16,6 @@ namespace ray { class MockRayletClientInterface : public RayletClientInterface { public: - MOCK_METHOD(ray::Status, - WaitForActorCallArgs, - (const std::vector &references, int64_t tag), - (override)); MOCK_METHOD(std::shared_ptr, GetChannel, (), (const)); MOCK_METHOD(void, ReportWorkerBacklog, diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 9d2d304017eb..17399254e01d 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -34,6 +34,7 @@ ray_cc_library( "//src/ray/common/cgroup:constants", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/ipc:raylet_ipc_client", "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", @@ -110,7 +111,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:task_common", - "//src/ray/raylet_client:raylet_client_lib", ], ) @@ -263,6 +263,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", + "//src/ray/ipc:raylet_ipc_client", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -353,7 +354,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:server_call", ], ) @@ -549,8 +549,9 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/common:task_common", + "//src/ray/ipc:raylet_ipc_client", "//src/ray/object_manager/plasma:plasma_client", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/protobuf:common_cc_proto", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index df5be141c8f9..de2a41013a7a 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -24,7 +24,6 @@ #include "ray/common/ray_object.h" #include "ray/common/scheduling/label_selector.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet_client/raylet_client.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 65c334b94b39..f6dc14ad420f 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -274,7 +274,8 @@ CoreWorker::CoreWorker( std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr local_raylet_client, + std::shared_ptr raylet_ipc_client, + std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, std::shared_ptr memory_store, @@ -308,7 +309,8 @@ CoreWorker::CoreWorker( rpc_address_(std::move(rpc_address)), connected_(true), gcs_client_(std::move(gcs_client)), - local_raylet_client_(std::move(local_raylet_client)), + raylet_ipc_client_(std::move(raylet_ipc_client)), + local_raylet_rpc_client_(std::move(local_raylet_rpc_client)), io_thread_(io_thread), reference_counter_(std::move(reference_counter)), memory_store_(std::move(memory_store)), @@ -347,14 +349,17 @@ CoreWorker::CoreWorker( std::placeholders::_6, std::placeholders::_7, std::placeholders::_8); - task_argument_waiter_ = std::make_unique(*local_raylet_client_); + task_argument_waiter_ = std::make_unique( + [this](const std::vector &dependencies, int64_t tag) { + return raylet_ipc_client_->WaitForActorCallArgs(dependencies, tag); + }); task_receiver_ = std::make_unique( task_execution_service_, *task_event_buffer_, execute_task, *task_argument_waiter_, options_.initialize_thread_callback, - [this] { return local_raylet_client_->ActorCreationTaskDone(); }); + [this] { return raylet_ipc_client_->ActorCreationTaskDone(); }); } RegisterToGcs(options_.worker_launch_time_ms, options_.worker_launched_time_ms); @@ -539,12 +544,12 @@ void CoreWorker::ConnectToRayletInternal() { // NOTE: This also marks the worker as available in Raylet. We do this at the // very end in case there is a problem during construction. if (options_.worker_type == WorkerType::DRIVER) { - Status status = local_raylet_client_->AnnounceWorkerPortForDriver( + Status status = raylet_ipc_client_->AnnounceWorkerPortForDriver( core_worker_server_->GetPort(), options_.entrypoint); RAY_CHECK_OK(status) << "Failed to announce driver's port to raylet and GCS"; } else { Status status = - local_raylet_client_->AnnounceWorkerPortForWorker(core_worker_server_->GetPort()); + raylet_ipc_client_->AnnounceWorkerPortForWorker(core_worker_server_->GetPort()); RAY_CHECK_OK(status) << "Failed to announce worker's port to raylet and GCS"; } } @@ -573,14 +578,12 @@ void CoreWorker::Disconnect( if (connected_) { RAY_LOG(INFO) << "Sending disconnect message to the local raylet."; connected_ = false; - if (local_raylet_client_) { - Status status = local_raylet_client_->Disconnect( - exit_type, exit_detail, creation_task_exception_pb_bytes); - if (status.ok()) { - RAY_LOG(INFO) << "Disconnected from the local raylet."; - } else { - RAY_LOG(WARNING) << "Failed to disconnect from the local raylet: " << status; - } + Status status = raylet_ipc_client_->Disconnect( + exit_type, exit_detail, creation_task_exception_pb_bytes); + if (status.ok()) { + RAY_LOG(INFO) << "Disconnected from the local raylet."; + } else { + RAY_LOG(WARNING) << "Failed to disconnect from the local raylet: " << status; } } } @@ -690,7 +693,7 @@ void CoreWorker::Exit( task_receiver_->Stop(); // Release resources only after tasks have stopped executing. - auto status = local_raylet_client_->NotifyDirectCallTaskBlocked(); + auto status = raylet_ipc_client_->NotifyDirectCallTaskBlocked(); if (!status.ok()) { RAY_LOG(WARNING) << "Failed to notify Raylet. The raylet may have already shut down or " @@ -1056,7 +1059,7 @@ Status CoreWorker::PutInLocalPlasmaStore(const RayObject &object, if (pin_object) { // Tell the raylet to pin the object **after** it is created. RAY_LOG(DEBUG).WithField(object_id) << "Pinning put object"; - local_raylet_client_->PinObjectIDs( + local_raylet_rpc_client_->PinObjectIDs( rpc_address_, {object_id}, /*generator_id=*/ObjectID::Nil(), @@ -1255,7 +1258,7 @@ Status CoreWorker::SealExisting(const ObjectID &object_id, if (pin_object) { // Tell the raylet to pin the object **after** it is created. RAY_LOG(DEBUG).WithField(object_id) << "Pinning sealed object"; - local_raylet_client_->PinObjectIDs( + local_raylet_rpc_client_->PinObjectIDs( owner_address != nullptr ? *owner_address : rpc_address_, {object_id}, generator_id, @@ -1777,7 +1780,7 @@ Status CoreWorker::GetLocationFromOwner( } void CoreWorker::TriggerGlobalGC() { - local_raylet_client_->GlobalGC( + local_raylet_rpc_client_->GlobalGC( [](const Status &status, const rpc::GlobalGCReply &reply) { if (!status.ok()) { RAY_LOG(ERROR) << "Failed to send global GC request: " << status; @@ -1815,7 +1818,7 @@ Status CoreWorker::PushError(const JobID &job_id, << " at time: " << timestamp; return Status::OK(); } - return local_raylet_client_->PushError(job_id, type, error_message, timestamp); + return raylet_ipc_client_->PushError(job_id, type, error_message, timestamp); } json CoreWorker::OverrideRuntimeEnv(const json &child, @@ -2003,7 +2006,7 @@ void CoreWorker::PrestartWorkers(const std::string &serialized_runtime_env_info, *OverrideTaskOrActorRuntimeEnvInfo(serialized_runtime_env_info); request.set_keep_alive_duration_secs(keep_alive_duration_secs); request.set_num_workers(num_workers); - local_raylet_client_->PrestartWorkers( + local_raylet_rpc_client_->PrestartWorkers( request, [](const Status &status, const rpc::PrestartWorkersReply &reply) { if (!status.ok()) { RAY_LOG(INFO) << "Failed to prestart workers: " << status; @@ -3117,7 +3120,7 @@ bool CoreWorker::PinExistingReturnObject(const ObjectID &return_id, // Asynchronously ask the raylet to pin the object. Note that this can fail // if the raylet fails. We expect the owner of the object to handle that // case (e.g., by detecting the raylet failure and storing an error). - local_raylet_client_->PinObjectIDs( + local_raylet_rpc_client_->PinObjectIDs( owner_address, {return_id}, generator_id, @@ -4090,7 +4093,7 @@ void CoreWorker::HandleRegisterMutableObjectReader( rpc::RegisterMutableObjectReaderRequest request, rpc::RegisterMutableObjectReaderReply *reply, rpc::SendReplyCallback send_reply_callback) { - local_raylet_client_->RegisterMutableObjectReader( + local_raylet_rpc_client_->RegisterMutableObjectReader( ObjectID::FromBinary(request.writer_object_id()), request.num_readers(), ObjectID::FromBinary(request.reader_object_id()), @@ -4280,7 +4283,7 @@ void CoreWorker::HandleExit(rpc::ExitRequest request, rpc::SendReplyCallback send_reply_callback) { const size_t num_objects_with_references = reference_counter_->Size(); const size_t num_pending_tasks = task_manager_->NumPendingTasks(); - const int64_t pins_in_flight = local_raylet_client_->GetPinsInFlight(); + const int64_t pins_in_flight = local_raylet_rpc_client_->GetPinsInFlight(); // We consider the worker to be idle if it doesn't have object references and it doesn't // have any object pinning RPCs in flight and it doesn't have pending tasks. bool is_idle = (num_objects_with_references == 0) && (pins_in_flight == 0) && @@ -4426,7 +4429,7 @@ void CoreWorker::PlasmaCallback(const SetResultCallback &success, // when the object is local (and it will fire the callback immediately if the object // exists). CoreWorker::HandlePlasmaObjectReady handles such request. auto owner_address = GetOwnerAddressOrDie(object_id); - local_raylet_client_->SubscribeToPlasma(object_id, owner_address); + raylet_ipc_client_->SubscribePlasmaReady(object_id, owner_address); } void CoreWorker::HandlePlasmaObjectReady(rpc::PlasmaObjectReadyRequest request, diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 7e3605cf95e9..088346e92aba 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -48,6 +48,7 @@ #include "ray/core_worker/transport/normal_task_submitter.h" #include "ray/core_worker/transport/task_receiver.h" #include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/ipc/raylet_ipc_client.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet_client/raylet_client.h" @@ -179,7 +180,8 @@ class CoreWorker { std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr local_raylet_client, + std::shared_ptr raylet_ipc_client, + std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, std::shared_ptr memory_store, @@ -1737,11 +1739,11 @@ class CoreWorker { // Client to the GCS shared by core worker interfaces. std::shared_ptr gcs_client_; - // Client to the raylet shared by core worker interfaces. This needs to be a - // shared_ptr for direct calls because we can lease multiple workers through - // one client, and we need to keep the connection alive until we return all - // of the workers. - std::shared_ptr local_raylet_client_; + // Client to the local Raylet that goes over a local socket. + std::shared_ptr raylet_ipc_client_; + + // Client to the local Raylet that goes over a gRPC connection. + std::shared_ptr local_raylet_rpc_client_; // Thread that runs a boost::asio service to process IO events. boost::thread &io_thread_; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index e02a8d7ac23b..2f419294ae2c 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -34,6 +34,7 @@ #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/pb_util.h" +#include "ray/ipc/raylet_ipc_client.h" #include "ray/stats/stats.h" #include "ray/util/container_util.h" #include "ray/util/env.h" @@ -209,26 +210,26 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( job_config.ParseFromString(options.serialized_job_config); worker_context->MaybeInitializeJobInfo(worker_context->GetCurrentJobID(), job_config); } - auto raylet_conn = std::make_unique( + + auto raylet_ipc_client = std::make_shared( io_service_, options.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); NodeID local_raylet_id; int assigned_port = 0; - Status raylet_client_status = RegisterWorkerToRaylet(*raylet_conn, - worker_context->GetWorkerID(), - options.worker_type, - worker_context->GetCurrentJobID(), - options.runtime_env_hash, - options.language, - options.node_ip_address, - options.serialized_job_config, - options.startup_token, - &local_raylet_id, - &assigned_port); - if (!raylet_client_status.ok()) { + Status status = raylet_ipc_client->RegisterClient(worker_context->GetWorkerID(), + options.worker_type, + worker_context->GetCurrentJobID(), + options.runtime_env_hash, + options.language, + options.node_ip_address, + options.serialized_job_config, + options.startup_token, + &local_raylet_id, + &assigned_port); + if (!status.ok()) { // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. RAY_LOG(ERROR).WithField(worker_id) - << "Failed to register worker to Raylet: " << raylet_client_status; + << "Failed to register worker to Raylet: " << status; QuickExit(); } RAY_CHECK_GE(assigned_port, 0); @@ -242,11 +243,10 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // instead of crashing. auto raylet_address = rpc::RayletClientPool::GenerateRayletAddress( local_raylet_id, options.node_ip_address, options.node_manager_port); - auto local_raylet_client = - std::make_shared(std::move(raylet_conn), - std::move(raylet_address), - *client_call_manager, - worker_context->GetWorkerID()); + auto local_raylet_rpc_client = std::make_shared( + std::move(raylet_address), + *client_call_manager, + /*raylet_unavailable_timeout_callback=*/[] {}); auto core_worker_server = std::make_unique(WorkerTypeString(options.worker_type), assigned_port, @@ -353,7 +353,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto plasma_store_provider = std::make_shared( options.store_socket, - local_raylet_client, + raylet_ipc_client, *reference_counter, options.check_signals, /*warmup=*/ @@ -366,7 +366,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto memory_store = std::make_shared( io_service_, reference_counter.get(), - local_raylet_client, + raylet_ipc_client, options.check_signals, [this](const RayObject &obj) { auto core_worker = GetCoreWorker(); @@ -503,7 +503,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto normal_task_submitter = std::make_unique( rpc_address, - local_raylet_client, + local_raylet_rpc_client, core_worker_client_pool, raylet_client_pool, std::move(lease_policy), @@ -632,7 +632,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::move(core_worker_server), std::move(rpc_address), std::move(gcs_client), - std::move(local_raylet_client), + std::move(raylet_ipc_client), + std::move(local_raylet_rpc_client), io_thread_, std::move(reference_counter), std::move(memory_store), @@ -822,14 +823,15 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { // TODO(joshlee): This local raylet client has a custom retry policy below since its // likely the driver can start up before the raylet is ready. We want to move away // from this and will be fixed in https://github.com/ray-project/ray/issues/55200 - raylet::RayletClient local_raylet_client(raylet_address, client_call_manager, [] {}); + raylet::RayletClient local_raylet_rpc_client( + raylet_address, client_call_manager, [] {}); std::function get_once = [this, &get_once, - &local_raylet_client, + &local_raylet_rpc_client, &promise, &io_service](int64_t num_attempts) { - local_raylet_client.GetSystemConfig( + local_raylet_rpc_client.GetSystemConfig( [this, num_attempts, &get_once, &promise, &io_service]( const Status &status, const rpc::GetSystemConfigReply &reply) { RAY_LOG(DEBUG) << "Getting system config from raylet, remaining retries = " @@ -933,55 +935,6 @@ std::shared_ptr CoreWorkerProcessImpl::GetCoreWorker() const { return read_locked.Get(); } -Status CoreWorkerProcessImpl::RegisterWorkerToRaylet( - raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *raylet_id, - int *port) { - flatbuffers::FlatBufferBuilder fbb; - // TODO(suquark): Use `WorkerType` in `common.proto` without converting to int. - auto message = - protocol::CreateRegisterClientRequest(fbb, - static_cast(worker_type), - to_flatbuf(fbb, worker_id), - getpid(), - startup_token, - to_flatbuf(fbb, job_id), - runtime_env_hash, - language, - fbb.CreateString(ip_address), - /*port=*/0, - fbb.CreateString(serialized_job_config)); - fbb.Finish(message); - // Register the process ID with the raylet. - // NOTE(swang): If raylet exits and we are registered as a worker, we will get killed. - std::vector reply; - auto request_status = - conn.AtomicRequestReply(ray::protocol::MessageType::RegisterClientRequest, - ray::protocol::MessageType::RegisterClientReply, - &reply, - &fbb); - if (!request_status.ok()) { - return Status(request_status.code(), - std::string("[RayletClient] Unable to register worker with raylet. ") + - request_status.message()); - } - auto reply_message = flatbuffers::GetRoot(reply.data()); - bool success = reply_message->success(); - if (!success) { - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); - } - - *raylet_id = NodeID::FromBinary(reply_message->raylet_id()->str()); - *port = reply_message->port(); - return Status::OK(); -} } // namespace core + } // namespace ray diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index 03f24070a8fe..5a6eb569b0ab 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -145,19 +145,6 @@ class CoreWorkerProcessImpl { /// Shutdown the driver completely at the process level. void ShutdownDriver(); - /// Register core worker to worker pool. - static Status RegisterWorkerToRaylet(raylet::RayletConnection &conn, - const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *raylet_id, - int *port); - private: /// The various options. const CoreWorkerOptions options_; diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index a8cd287e55e3..05c69c406a28 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -21,6 +21,7 @@ #include #include "ray/common/ray_config.h" +#include "ray/ipc/raylet_ipc_client.h" namespace ray { namespace core { @@ -135,14 +136,14 @@ std::shared_ptr GetRequest::Get(const ObjectID &object_id) const { CoreWorkerMemoryStore::CoreWorkerMemoryStore( instrumented_io_context &io_context, ReferenceCounter *counter, - std::shared_ptr raylet_client, + std::shared_ptr raylet_ipc_client, std::function check_signals, std::function unhandled_exception_handler, std::function( const ray::RayObject &object, const ObjectID &object_id)> object_allocator) : io_context_(io_context), ref_counter_(counter), - raylet_client_(std::move(raylet_client)), + raylet_ipc_client_(std::move(raylet_ipc_client)), check_signals_(std::move(check_signals)), unhandled_exception_handler_(std::move(unhandled_exception_handler)), object_allocator_(std::move(object_allocator)) {} @@ -341,10 +342,10 @@ Status CoreWorkerMemoryStore::GetImpl(const std::vector &object_ids, // Only send block/unblock IPCs for non-actor tasks on the main thread. bool should_notify_raylet = - (raylet_client_ != nullptr && ctx.ShouldReleaseResourcesOnBlockingCalls()); + (raylet_ipc_client_ != nullptr && ctx.ShouldReleaseResourcesOnBlockingCalls()); // Wait for remaining objects (or timeout). if (should_notify_raylet) { - RAY_CHECK_OK(raylet_client_->NotifyDirectCallTaskBlocked()); + RAY_CHECK_OK(raylet_ipc_client_->NotifyDirectCallTaskBlocked()); } bool done = false; @@ -375,7 +376,7 @@ Status CoreWorkerMemoryStore::GetImpl(const std::vector &object_ids, } if (should_notify_raylet) { - RAY_CHECK_OK(raylet_client_->NotifyDirectCallTaskUnblocked()); + RAY_CHECK_OK(raylet_ipc_client_->NotifyDirectCallTaskUnblocked()); } { diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index 64cdaf514c5c..509938d6dd61 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -27,6 +27,7 @@ #include "ray/common/status.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" +#include "ray/ipc/raylet_ipc_client.h" namespace ray { namespace core { @@ -49,11 +50,11 @@ class CoreWorkerMemoryStore { /// \param[in] io_context Posts async callbacks to this context. /// \param[in] counter If not null, this enables ref counting for local objects, /// and the `remove_after_get` flag for Get() will be ignored. - /// \param[in] raylet_client If not null, used to notify tasks blocked / unblocked. + /// \param[in] raylet_ipc_client If not null, used to notify tasks blocked / unblocked. explicit CoreWorkerMemoryStore( instrumented_io_context &io_context, ReferenceCounter *counter = nullptr, - std::shared_ptr raylet_client = nullptr, + std::shared_ptr raylet_ipc_client = nullptr, std::function check_signals = nullptr, std::function unhandled_exception_handler = nullptr, std::function(const RayObject &object, @@ -206,10 +207,10 @@ class CoreWorkerMemoryStore { /// If enabled, holds a reference to local worker ref counter. TODO(ekl) make this /// mandatory once Java is supported. - ReferenceCounter *ref_counter_ = nullptr; + ReferenceCounter *ref_counter_; // If set, this will be used to notify worker blocked / unblocked on get calls. - std::shared_ptr raylet_client_ = nullptr; + std::shared_ptr raylet_ipc_client_; /// Protects the data structures below. mutable absl::Mutex mu_; diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 7bc5ef3e7950..ab9802578471 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -23,7 +23,8 @@ #include "ray/common/ray_config.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "src/ray/protobuf/gcs.pb.h" +#include "ray/ipc/raylet_ipc_client.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { @@ -61,12 +62,12 @@ BufferTracker::UsedObjects() const { CoreWorkerPlasmaStoreProvider::CoreWorkerPlasmaStoreProvider( const std::string &store_socket, - const std::shared_ptr raylet_client, + const std::shared_ptr raylet_ipc_client, ReferenceCounter &reference_counter, std::function check_signals, bool warmup, std::function get_current_call_site) - : raylet_client_(raylet_client), + : raylet_ipc_client_(raylet_ipc_client), // We can turn on exit_on_connection_failure on for the core worker plasma // client to early exit core worker after the raylet's death because on the // raylet side, we never proactively close the plasma store connection even @@ -182,7 +183,7 @@ Status CoreWorkerPlasmaStoreProvider::PullObjectsAndGetFromPlasmaStore( absl::flat_hash_map> *results, bool *got_exception) { const auto owner_addresses = reference_counter_.GetOwnerAddresses(batch_ids); - RAY_RETURN_NOT_OK(raylet_client_->AsyncGetObjects(batch_ids, owner_addresses)); + RAY_RETURN_NOT_OK(raylet_ipc_client_->AsyncGetObjects(batch_ids, owner_addresses)); std::vector plasma_results; RAY_RETURN_NOT_OK(store_client_->Get(batch_ids, timeout_ms, &plasma_results)); @@ -254,7 +255,7 @@ Status CoreWorkerPlasmaStoreProvider::GetExperimentalMutableObject( return store_client_->GetExperimentalMutableObject(object_id, mutable_object); } -Status UnblockIfNeeded(const std::shared_ptr &client, +Status UnblockIfNeeded(const std::shared_ptr &client, const WorkerContext &ctx) { if (ctx.CurrentTaskIsDirectCall()) { // NOTE: for direct call actors, we still need to issue an unblock IPC to release @@ -299,7 +300,7 @@ Status CoreWorkerPlasmaStoreProvider::Get( // If all objects were fetched already, return. Note that we always need to // call UnblockIfNeeded() to cancel the get request. if (remaining.empty() || *got_exception) { - return UnblockIfNeeded(raylet_client_, ctx); + return UnblockIfNeeded(raylet_ipc_client_, ctx); } // If not all objects were successfully fetched, repeatedly call FetchOrReconstruct @@ -339,7 +340,7 @@ Status CoreWorkerPlasmaStoreProvider::Get( Status status = check_signals_(); if (!status.ok()) { // TODO(edoakes): in this case which status should we return? - RAY_RETURN_NOT_OK(UnblockIfNeeded(raylet_client_, ctx)); + RAY_RETURN_NOT_OK(UnblockIfNeeded(raylet_ipc_client_, ctx)); return status; } } @@ -354,13 +355,13 @@ Status CoreWorkerPlasmaStoreProvider::Get( } if (!remaining.empty() && timed_out) { - RAY_RETURN_NOT_OK(UnblockIfNeeded(raylet_client_, ctx)); + RAY_RETURN_NOT_OK(UnblockIfNeeded(raylet_ipc_client_, ctx)); return Status::TimedOut("Get timed out: some object(s) not ready."); } // Notify unblocked because we blocked when calling FetchOrReconstruct with // fetch_only=false. - return UnblockIfNeeded(raylet_client_, ctx); + return UnblockIfNeeded(raylet_ipc_client_, ctx); } Status CoreWorkerPlasmaStoreProvider::Contains(const ObjectID &object_id, @@ -390,7 +391,7 @@ Status CoreWorkerPlasmaStoreProvider::Wait( const auto owner_addresses = reference_counter_.GetOwnerAddresses(id_vector); RAY_ASSIGN_OR_RETURN( ready_in_plasma, - raylet_client_->Wait(id_vector, owner_addresses, num_objects, call_timeout)); + raylet_ipc_client_->Wait(id_vector, owner_addresses, num_objects, call_timeout)); if (ready_in_plasma.size() >= static_cast(num_objects)) { should_break = true; @@ -403,7 +404,7 @@ Status CoreWorkerPlasmaStoreProvider::Wait( ready->insert(entry); } if (ctx.CurrentTaskIsDirectCall() && ctx.ShouldReleaseResourcesOnBlockingCalls()) { - RAY_RETURN_NOT_OK(raylet_client_->NotifyDirectCallTaskUnblocked()); + RAY_RETURN_NOT_OK(raylet_ipc_client_->NotifyDirectCallTaskUnblocked()); } return Status::OK(); } @@ -411,7 +412,7 @@ Status CoreWorkerPlasmaStoreProvider::Wait( Status CoreWorkerPlasmaStoreProvider::Delete( const absl::flat_hash_set &object_ids, bool local_only) { std::vector object_id_vector(object_ids.begin(), object_ids.end()); - return raylet_client_->FreeObjects(object_id_vector, local_only); + return raylet_ipc_client_->FreeObjects(object_id_vector, local_only); } StatusOr CoreWorkerPlasmaStoreProvider::GetMemoryUsage() { diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index 43980ec5e5e8..867fb739e9e6 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -28,8 +28,9 @@ #include "ray/core_worker/common.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" +#include "ray/ipc/raylet_ipc_client.h" #include "ray/object_manager/plasma/client.h" -#include "ray/raylet_client/raylet_client.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { @@ -95,7 +96,7 @@ class CoreWorkerPlasmaStoreProvider { public: CoreWorkerPlasmaStoreProvider( const std::string &store_socket, - const std::shared_ptr raylet_client, + const std::shared_ptr raylet_ipc_client, ReferenceCounter &reference_counter, std::function check_signals, bool warmup, @@ -234,7 +235,7 @@ class CoreWorkerPlasmaStoreProvider { /// \return status Status WarmupStore(); - const std::shared_ptr raylet_client_; + const std::shared_ptr raylet_ipc_client_; std::shared_ptr store_client_; /// Used to look up a plasma object's owner. ReferenceCounter &reference_counter_; diff --git a/src/ray/core_worker/transport/scheduling_util.cc b/src/ray/core_worker/transport/scheduling_util.cc index da56cb91f49c..951b834121c8 100644 --- a/src/ray/core_worker/transport/scheduling_util.cc +++ b/src/ray/core_worker/transport/scheduling_util.cc @@ -68,14 +68,14 @@ void InboundRequest::MarkDependenciesResolved() { pending_dependencies_.clear(); const TaskSpecification &InboundRequest::TaskSpec() const { return task_spec_; } -DependencyWaiterImpl::DependencyWaiterImpl(RayletClientInterface &dependency_client) - : dependency_client_(dependency_client) {} +DependencyWaiterImpl::DependencyWaiterImpl(WaitForActorCallArgs wait_for_actor_call_args) + : wait_for_actor_call_args_(wait_for_actor_call_args) {} void DependencyWaiterImpl::Wait(const std::vector &dependencies, std::function on_dependencies_available) { auto tag = next_request_id_++; requests_[tag] = on_dependencies_available; - RAY_CHECK_OK(dependency_client_.WaitForActorCallArgs(dependencies, tag)); + RAY_CHECK_OK(wait_for_actor_call_args_(dependencies, tag)); } /// Fulfills the callback stored by Wait(). diff --git a/src/ray/core_worker/transport/scheduling_util.h b/src/ray/core_worker/transport/scheduling_util.h index 53ceddb0bfb3..74fdf9a17cd5 100644 --- a/src/ray/core_worker/transport/scheduling_util.h +++ b/src/ray/core_worker/transport/scheduling_util.h @@ -19,7 +19,6 @@ #include "ray/common/id.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet_client/raylet_client.h" #include "ray/rpc/server_call.h" #include "src/ray/protobuf/core_worker.pb.h" @@ -71,7 +70,10 @@ class DependencyWaiter { class DependencyWaiterImpl : public DependencyWaiter { public: - explicit DependencyWaiterImpl(RayletClientInterface &dependency_client); + using WaitForActorCallArgs = std::function &dependencies, int64_t tag)>; + + explicit DependencyWaiterImpl(WaitForActorCallArgs wait_for_actor_call_args); void Wait(const std::vector &dependencies, std::function on_dependencies_available) override; @@ -82,7 +84,7 @@ class DependencyWaiterImpl : public DependencyWaiter { private: int64_t next_request_id_ = 0; absl::flat_hash_map> requests_; - RayletClientInterface &dependency_client_; + WaitForActorCallArgs wait_for_actor_call_args_; }; } // namespace core diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/ipc/BUILD.bazel index cf2f4ef78e9b..08d01f774235 100644 --- a/src/ray/ipc/BUILD.bazel +++ b/src/ray/ipc/BUILD.bazel @@ -16,3 +16,21 @@ ray_cc_library( "//src/ray/flatbuffers:node_manager_generated", ], ) + +ray_cc_library( + name = "raylet_ipc_client", + srcs = ["raylet_ipc_client.cc"], + hdrs = ["raylet_ipc_client.h"], + deps = [ + ":client_connection", + "//src/ray/common:asio", + "//src/ray/common:buffer", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/util:logging", + "//src/ray/util:process", + "@com_google_absl//absl/container:flat_hash_set", + ], +) diff --git a/src/ray/ipc/raylet_ipc_client.cc b/src/ray/ipc/raylet_ipc_client.cc new file mode 100644 index 000000000000..bcf3e4409367 --- /dev/null +++ b/src/ray/ipc/raylet_ipc_client.cc @@ -0,0 +1,312 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/ipc/raylet_ipc_client.h" + +#include +#include +#include +#include +#include + +#include "absl/container/flat_hash_set.h" +#include "ray/common/common_protocol.h" +#include "ray/common/ray_config.h" +#include "ray/flatbuffers/node_manager_generated.h" +#include "ray/ipc/client_connection.h" +#include "ray/util/logging.h" + +namespace { + +flatbuffers::Offset to_flatbuf( + flatbuffers::FlatBufferBuilder &fbb, const ray::rpc::Address &address) { + return ray::protocol::CreateAddress(fbb, + fbb.CreateString(address.raylet_id()), + fbb.CreateString(address.ip_address()), + address.port(), + fbb.CreateString(address.worker_id())); +} + +flatbuffers::Offset>> +AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, + const std::vector &addresses) { + std::vector> address_vec; + address_vec.reserve(addresses.size()); + for (const auto &addr : addresses) { + address_vec.push_back(to_flatbuf(fbb, addr)); + } + return fbb.CreateVector(address_vec); +} + +} // namespace + +namespace ray::ipc { + +RayletIpcClient::RayletIpcClient(instrumented_io_context &io_service, + const std::string &address, + int num_retries, + int64_t timeout) { + local_stream_socket socket(io_service); + Status s = ConnectSocketRetry(socket, address, num_retries, timeout); + if (!s.ok()) { + RAY_LOG(FATAL) << "Failed to connect to socket at address:" << address; + } + + conn_ = ServerConnection::Create(std::move(socket)); +} + +ray::Status RayletIpcClient::RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *assigned_port) { + flatbuffers::FlatBufferBuilder fbb; + auto message = + protocol::CreateRegisterClientRequest(fbb, + static_cast(worker_type), + to_flatbuf(fbb, worker_id), + getpid(), + startup_token, + to_flatbuf(fbb, job_id), + runtime_env_hash, + language, + fbb.CreateString(ip_address), + /*port=*/0, + fbb.CreateString(serialized_job_config)); + fbb.Finish(message); + std::vector reply; + Status status = AtomicRequestReply( + MessageType::RegisterClientRequest, MessageType::RegisterClientReply, &reply, &fbb); + RAY_RETURN_NOT_OK(status); + + auto reply_message = flatbuffers::GetRoot(reply.data()); + bool success = reply_message->success(); + if (!success) { + return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); + } + + *raylet_id = NodeID::FromBinary(reply_message->raylet_id()->str()); + *assigned_port = reply_message->port(); + return Status::OK(); +} + +Status RayletIpcClient::Disconnect( + const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr &creation_task_exception_pb_bytes) { + RAY_LOG(INFO) << "RayletIpcClient::Disconnect, exit_type=" + << rpc::WorkerExitType_Name(exit_type) << ", exit_detail=" << exit_detail + << ", has creation_task_exception_pb_bytes=" + << (creation_task_exception_pb_bytes != nullptr); + flatbuffers::FlatBufferBuilder fbb; + flatbuffers::Offset> + creation_task_exception_pb_bytes_fb_vector; + if (creation_task_exception_pb_bytes != nullptr) { + creation_task_exception_pb_bytes_fb_vector = + fbb.CreateVector(creation_task_exception_pb_bytes->Data(), + creation_task_exception_pb_bytes->Size()); + } + const auto &fb_exit_detail = fbb.CreateString(exit_detail); + protocol::DisconnectClientRequestBuilder builder(fbb); + builder.add_disconnect_type(static_cast(exit_type)); + builder.add_disconnect_detail(fb_exit_detail); + // Add to table builder here to avoid nested construction of flatbuffers + if (creation_task_exception_pb_bytes != nullptr) { + builder.add_creation_task_exception_pb(creation_task_exception_pb_bytes_fb_vector); + } + fbb.Finish(builder.Finish()); + std::vector reply; + // NOTE(edoakes): AtomicRequestReply will fast fail and exit the process if the raylet + // is already dead. + // TODO(edoakes): we should add a timeout to this call in case the raylet is overloaded. + return AtomicRequestReply(MessageType::DisconnectClientRequest, + MessageType::DisconnectClientReply, + &reply, + &fbb); +} + +Status RayletIpcClient::AnnounceWorkerPortForWorker(int port) { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString("")); + fbb.Finish(message); + return WriteMessage(MessageType::AnnounceWorkerPort, &fbb); +} + +Status RayletIpcClient::AnnounceWorkerPortForDriver(int port, + const std::string &entrypoint) { + flatbuffers::FlatBufferBuilder fbb; + auto message = + protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString(entrypoint)); + fbb.Finish(message); + std::vector reply; + RAY_RETURN_NOT_OK(AtomicRequestReply(MessageType::AnnounceWorkerPort, + MessageType::AnnounceWorkerPortReply, + &reply, + &fbb)); + auto reply_message = + flatbuffers::GetRoot(reply.data()); + if (reply_message->success()) { + return Status::OK(); + } + return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); +} + +Status RayletIpcClient::ActorCreationTaskDone() { + return WriteMessage(MessageType::ActorCreationTaskDone); +} + +Status RayletIpcClient::AsyncGetObjects( + const std::vector &object_ids, + const std::vector &owner_addresses) { + RAY_CHECK(object_ids.size() == owner_addresses.size()); + flatbuffers::FlatBufferBuilder fbb; + auto object_ids_message = to_flatbuf(fbb, object_ids); + auto message = protocol::CreateAsyncGetObjectsRequest( + fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses)); + fbb.Finish(message); + return WriteMessage(MessageType::AsyncGetObjectsRequest, &fbb); +} + +Status RayletIpcClient::CancelGetRequest() { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateCancelGetRequest(fbb); + fbb.Finish(message); + return WriteMessage(MessageType::CancelGetRequest, &fbb); +} + +Status RayletIpcClient::NotifyDirectCallTaskBlocked() { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateNotifyDirectCallTaskBlocked(fbb); + fbb.Finish(message); + return WriteMessage(MessageType::NotifyDirectCallTaskBlocked, &fbb); +} + +Status RayletIpcClient::NotifyDirectCallTaskUnblocked() { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateNotifyDirectCallTaskUnblocked(fbb); + fbb.Finish(message); + return WriteMessage(MessageType::NotifyDirectCallTaskUnblocked, &fbb); +} + +StatusOr> RayletIpcClient::Wait( + const std::vector &object_ids, + const std::vector &owner_addresses, + int num_returns, + int64_t timeout_milliseconds) { + // Write request. + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateWaitRequest(fbb, + to_flatbuf(fbb, object_ids), + AddressesToFlatbuffer(fbb, owner_addresses), + num_returns, + timeout_milliseconds); + fbb.Finish(message); + std::vector reply; + RAY_RETURN_NOT_OK( + AtomicRequestReply(MessageType::WaitRequest, MessageType::WaitReply, &reply, &fbb)); + // Parse the flatbuffer object. + auto reply_message = flatbuffers::GetRoot(reply.data()); + auto *found = reply_message->found(); + absl::flat_hash_set result; + result.reserve(found->size()); + for (size_t i = 0; i < found->size(); i++) { + result.insert(ObjectID::FromBinary(found->Get(i)->str())); + } + return result; +} + +Status RayletIpcClient::WaitForActorCallArgs( + const std::vector &references, int64_t tag) { + flatbuffers::FlatBufferBuilder fbb; + std::vector object_ids; + std::vector owner_addresses; + for (const auto &ref : references) { + object_ids.push_back(ObjectID::FromBinary(ref.object_id())); + owner_addresses.push_back(ref.owner_address()); + } + auto message = protocol::CreateWaitForActorCallArgsRequest( + fbb, to_flatbuf(fbb, object_ids), AddressesToFlatbuffer(fbb, owner_addresses), tag); + fbb.Finish(message); + return WriteMessage(MessageType::WaitForActorCallArgsRequest, &fbb); +} + +Status RayletIpcClient::PushError(const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreatePushErrorRequest(fbb, + to_flatbuf(fbb, job_id), + fbb.CreateString(type), + fbb.CreateString(error_message), + timestamp); + fbb.Finish(message); + return WriteMessage(MessageType::PushErrorRequest, &fbb); +} + +Status RayletIpcClient::FreeObjects(const std::vector &object_ids, + bool local_only) { + flatbuffers::FlatBufferBuilder fbb; + auto message = + protocol::CreateFreeObjectsRequest(fbb, local_only, to_flatbuf(fbb, object_ids)); + fbb.Finish(message); + return WriteMessage(MessageType::FreeObjectsInObjectStoreRequest, &fbb); +} + +void RayletIpcClient::SubscribePlasmaReady(const ObjectID &object_id, + const rpc::Address &owner_address) { + flatbuffers::FlatBufferBuilder fbb; + auto message = protocol::CreateSubscribePlasmaReady( + fbb, to_flatbuf(fbb, object_id), to_flatbuf(fbb, owner_address)); + fbb.Finish(message); + + RAY_CHECK_OK(WriteMessage(MessageType::SubscribePlasmaReady, &fbb)); +} + +void ShutdownIfLocalRayletDisconnected(const Status &status) { + if (!status.ok() && IsRayletFailed(RayConfig::instance().RAYLET_PID())) { + RAY_LOG(WARNING) << "Exiting because the Raylet IPC connection failed and the local " + "Raylet is dead. Status: " + << status; + QuickExit(); + } +} + +Status RayletIpcClient::WriteMessage(MessageType type, + flatbuffers::FlatBufferBuilder *fbb) { + std::unique_lock guard(write_mutex_); + int64_t length = fbb ? fbb->GetSize() : 0; + uint8_t *bytes = fbb ? fbb->GetBufferPointer() : nullptr; + auto status = conn_->WriteMessage(static_cast(type), length, bytes); + ShutdownIfLocalRayletDisconnected(status); + return status; +} + +Status RayletIpcClient::AtomicRequestReply(MessageType request_type, + MessageType reply_type, + std::vector *reply_message, + flatbuffers::FlatBufferBuilder *fbb) { + std::unique_lock guard(mutex_); + RAY_RETURN_NOT_OK(WriteMessage(request_type, fbb)); + auto status = conn_->ReadMessage(static_cast(reply_type), reply_message); + ShutdownIfLocalRayletDisconnected(status); + return status; +} + +} // namespace ray::ipc diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/raylet_ipc_client.h new file mode 100644 index 000000000000..f93b40382b02 --- /dev/null +++ b/src/ray/ipc/raylet_ipc_client.h @@ -0,0 +1,221 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "absl/container/flat_hash_set.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/buffer.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" +#include "ray/flatbuffers/node_manager_generated.h" +#include "ray/ipc/client_connection.h" +#include "ray/util/process.h" +#include "src/ray/protobuf/common.pb.h" + +using MessageType = ray::protocol::MessageType; + +namespace ray { + +namespace ipc { + +/// Client for interacting with the local Raylet over a socket. +/// +/// Message ordering on the socket is guaranteed. +/// +/// If the socket is broken and the local Raylet is detected to be dead, calling any +/// method on the client will quick exit the process. +class RayletIpcClient { + public: + /// Connect to the Raylet over a local socket. + /// + /// \param io_service The IO service used for interacting with the socket. + /// \param address The address of the socket that the Raylet is listening on. + /// \param num_retries The number of times to retry connecting before giving up. + /// \param timeout The time to wait between retries. + RayletIpcClient(instrumented_io_context &io_service, + const std::string &address, + int num_retries, + int64_t timeout); + + /// Register this client (worker) with the local Raylet. + /// + /// \param worker_id The worker_id of the connecting worker. + /// \param worker_type The worker type of the connecting worker. + /// \param job_id The job ID that the connecting worker is associated with. + /// \param runtime_env_hash The runtime_env hash of the connecting worker. + /// \param language The language of the connecting worker. + /// \param ip_address The ip_address of the connecting worker. + /// \param serialized_job_config The serialized job config of the connecting worker. + /// \param startup_token The token that was passed to this worker at startup. + /// \param[out] raylet_id The node ID for the local Raylet. + /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, + /// the worker should pick a port randomly. + ray::Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *assigned_port); + + /// Notify the raylet that this client is disconnecting gracefully. This + /// is used by actors to exit gracefully so that the raylet doesn't + /// propagate an error message to the driver. + /// + /// It's a blocking call. + /// + /// \param disconnect_type The reason why this worker process is disconnected. + /// \param disconnect_detail The detailed reason for a given exit. + /// \return ray::Status. + ray::Status Disconnect( + const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr &creation_task_exception_pb_bytes); + + /// Tell the raylet which port this worker's gRPC server is listening on. + /// + /// \param port The port. + /// \return ray::Status. + Status AnnounceWorkerPortForWorker(int port); + + /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. + /// + /// \param port The port. + /// \param entrypoint The entrypoint of the driver's job. + /// \return ray::Status. + Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint); + + /// Tell the raylet that the client has finished executing a task. + /// + /// \return ray::Status. + ray::Status ActorCreationTaskDone(); + + /// Ask the Raylet to pull a set of objects to the local node. + /// + /// This request is asynchronous. + /// + /// \param object_ids The IDs of the objects to pull. + /// \param owner_addresses The owner addresses of the objects. + /// \return ray::Status. + ray::Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses); + + /// Wait for the given objects until timeout expires or num_return objects are + /// found. + /// + /// \param object_ids The objects to wait for. + /// \param owner_addresses The addresses of the workers that own the objects. + /// \param num_returns The number of objects to wait for. + /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. + /// \param result A pair with the first element containing the object ids that were + /// found, and the second element the objects that were not found. + /// \return ray::StatusOr containing error status or the set of object ids that were + /// found. + ray::StatusOr> Wait( + const std::vector &object_ids, + const std::vector &owner_addresses, + int num_returns, + int64_t timeout_milliseconds); + + /// Tell the Raylet to cancel the get request from this worker. + /// + /// \return ray::Status. + ray::Status CancelGetRequest(); + + /// Notify the raylet that this client is blocked. This is only used for direct task + /// calls. Note that ordering of this with respect to Unblock calls is important. + /// + /// \return ray::Status. + ray::Status NotifyDirectCallTaskBlocked(); + + /// Notify the raylet that this client is unblocked. This is only used for direct task + /// calls. Note that ordering of this with respect to Block calls is important. + /// + /// \return ray::Status. + ray::Status NotifyDirectCallTaskUnblocked(); + + /// Wait for the given objects asynchronously. + /// + /// The core worker will be notified over gRPC when the wait completes. + /// + /// \param references The objects to wait for. + /// \param tag Value that will be sent to the core worker via gRPC on completion. + /// \return ray::Status. + ray::Status WaitForActorCallArgs(const std::vector &references, + int64_t tag); + + /// Push an error to the relevant driver. + /// + /// \param The ID of the job_id that the error is for. + /// \param The type of the error. + /// \param The error message. + /// \param The timestamp of the error. + /// \return ray::Status. + ray::Status PushError(const ray::JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp); + + /// Free a list of objects from object stores. + /// + /// \param object_ids A list of ObjectsIDs to be deleted. + /// \param local_only Whether keep this request with local object store + /// or send it to all the object stores. + /// \return ray::Status. + ray::Status FreeObjects(const std::vector &object_ids, bool local_only); + + /// Subscribe this worker to a notification when the provided object is ready in the + /// local object store. + /// + /// The worker will be notified over gRPC when the object is ready. + /// + /// \param object_id The ID of the object to subscribe to. + /// \param owner_address The address of the owner of the object. + void SubscribePlasmaReady(const ObjectID &object_id, const rpc::Address &owner_address); + + private: + /// Send a request to raylet asynchronously. + ray::Status WriteMessage(MessageType type, + flatbuffers::FlatBufferBuilder *fbb = nullptr); + + /// Send a request to raylet and synchronously wait for the response. + ray::Status AtomicRequestReply(MessageType request_type, + MessageType reply_type, + std::vector *reply_message, + flatbuffers::FlatBufferBuilder *fbb = nullptr); + + /// Protects read operations on the socket. + std::mutex mutex_; + + /// Protects write operations on the socket. + std::mutex write_mutex_; + + /// The local socket connection to the Raylet. + std::shared_ptr conn_; +}; + +} // namespace ipc + +} // namespace ray diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index c6371cffbb9c..b1a9b31d2112 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1020,7 +1020,7 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & case protocol::MessageType::RegisterClientRequest: { ProcessRegisterClientRequestMessage(client, message_data); } break; - case protocol::MessageType::AnnounceWorkerPort: { + case ray::protocol::MessageType::AnnounceWorkerPort: { ProcessAnnounceWorkerPortMessage(client, message_data); } break; case protocol::MessageType::ActorCreationTaskDone: { diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 2553a797d912..df53758583c3 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -31,6 +31,7 @@ #include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/core_worker/experimental_mutable_object_provider.h" +#include "ray/flatbuffers/node_manager_generated.h" #include "ray/ipc/client_connection.h" #include "ray/object_manager/object_directory.h" #include "ray/object_manager/object_manager.h" diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 47695ab5f8a7..9dc98c643617 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -1,28 +1,14 @@ load("//bazel:ray.bzl", "ray_cc_library") exports_files([ - "raylet_connection.h", "raylet_client.h", ]) -ray_cc_library( - name = "raylet_client_connection_lib", - srcs = ["raylet_connection.cc"], - hdrs = ["raylet_connection.h"], - deps = [ - "//src/ray/common:asio", - "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/ipc:client_connection", - ], -) - ray_cc_library( name = "raylet_client_lib", srcs = ["raylet_client.cc"], hdrs = ["raylet_client.h"], deps = [ - ":raylet_client_connection_lib", - "//src/ray/common:buffer", "//src/ray/common:id", "//src/ray/common:status", "//src/ray/common:task_common", diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 970b632f6060..bfb8b0665d0a 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -24,36 +24,8 @@ #include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" -#include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" #include "ray/util/logging.h" -using MessageType = ray::protocol::MessageType; - -namespace { - -flatbuffers::Offset to_flatbuf( - flatbuffers::FlatBufferBuilder &fbb, const ray::rpc::Address &address) { - return ray::protocol::CreateAddress(fbb, - fbb.CreateString(address.raylet_id()), - fbb.CreateString(address.ip_address()), - address.port(), - fbb.CreateString(address.worker_id())); -} - -flatbuffers::Offset>> -AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, - const std::vector &addresses) { - std::vector> address_vec; - address_vec.reserve(addresses.size()); - for (const auto &addr : addresses) { - address_vec.push_back(to_flatbuf(fbb, addr)); - } - return fbb.CreateVector(address_vec); -} - -} // namespace - namespace ray::raylet { RayletClient::RayletClient(const rpc::Address &address, @@ -64,177 +36,6 @@ RayletClient::RayletClient(const rpc::Address &address, client_call_manager, std::move(raylet_unavailable_timeout_callback)))) {} -RayletClient::RayletClient(std::unique_ptr raylet_conn, - const rpc::Address &address, - rpc::ClientCallManager &client_call_manager, - const WorkerID &worker_id) - : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, client_call_manager, [] {}))), - worker_id_(worker_id), - conn_(std::move(raylet_conn)) {} - -Status RayletClient::Disconnect( - const rpc::WorkerExitType &exit_type, - const std::string &exit_detail, - const std::shared_ptr &creation_task_exception_pb_bytes) { - RAY_LOG(INFO) << "RayletClient::Disconnect, exit_type=" - << rpc::WorkerExitType_Name(exit_type) << ", exit_detail=" << exit_detail - << ", has creation_task_exception_pb_bytes=" - << (creation_task_exception_pb_bytes != nullptr); - flatbuffers::FlatBufferBuilder fbb; - flatbuffers::Offset> - creation_task_exception_pb_bytes_fb_vector; - if (creation_task_exception_pb_bytes != nullptr) { - creation_task_exception_pb_bytes_fb_vector = - fbb.CreateVector(creation_task_exception_pb_bytes->Data(), - creation_task_exception_pb_bytes->Size()); - } - const auto &fb_exit_detail = fbb.CreateString(exit_detail); - protocol::DisconnectClientRequestBuilder builder(fbb); - builder.add_disconnect_type(static_cast(exit_type)); - builder.add_disconnect_detail(fb_exit_detail); - // Add to table builder here to avoid nested construction of flatbuffers - if (creation_task_exception_pb_bytes != nullptr) { - builder.add_creation_task_exception_pb(creation_task_exception_pb_bytes_fb_vector); - } - fbb.Finish(builder.Finish()); - std::vector reply; - // NOTE(edoakes): AtomicRequestReply will fast fail and exit the process if the raylet - // is already dead. - // TODO(edoakes): we should add a timeout to this call in case the raylet is overloaded. - return conn_->AtomicRequestReply(MessageType::DisconnectClientRequest, - MessageType::DisconnectClientReply, - &reply, - &fbb); -} - -Status RayletClient::AnnounceWorkerPortForWorker(int port) { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString("")); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::AnnounceWorkerPort, &fbb); -} - -Status RayletClient::AnnounceWorkerPortForDriver(int port, - const std::string &entrypoint) { - flatbuffers::FlatBufferBuilder fbb; - auto message = - protocol::CreateAnnounceWorkerPort(fbb, port, fbb.CreateString(entrypoint)); - fbb.Finish(message); - std::vector reply; - RAY_RETURN_NOT_OK(conn_->AtomicRequestReply(MessageType::AnnounceWorkerPort, - MessageType::AnnounceWorkerPortReply, - &reply, - &fbb)); - auto reply_message = - flatbuffers::GetRoot(reply.data()); - if (reply_message->success()) { - return Status::OK(); - } - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); -} - -Status RayletClient::ActorCreationTaskDone() { - return conn_->WriteMessage(MessageType::ActorCreationTaskDone); -} - -Status RayletClient::AsyncGetObjects(const std::vector &object_ids, - const std::vector &owner_addresses) { - RAY_CHECK(object_ids.size() == owner_addresses.size()); - flatbuffers::FlatBufferBuilder fbb; - auto object_ids_message = to_flatbuf(fbb, object_ids); - auto message = protocol::CreateAsyncGetObjectsRequest( - fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses)); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::AsyncGetObjectsRequest, &fbb); -} - -Status RayletClient::CancelGetRequest() { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateCancelGetRequest(fbb); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::CancelGetRequest, &fbb); -} - -Status RayletClient::NotifyDirectCallTaskBlocked() { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateNotifyDirectCallTaskBlocked(fbb); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::NotifyDirectCallTaskBlocked, &fbb); -} - -Status RayletClient::NotifyDirectCallTaskUnblocked() { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateNotifyDirectCallTaskUnblocked(fbb); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::NotifyDirectCallTaskUnblocked, &fbb); -} - -StatusOr> RayletClient::Wait( - const std::vector &object_ids, - const std::vector &owner_addresses, - int num_returns, - int64_t timeout_milliseconds) { - // Write request. - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateWaitRequest(fbb, - to_flatbuf(fbb, object_ids), - AddressesToFlatbuffer(fbb, owner_addresses), - num_returns, - timeout_milliseconds); - fbb.Finish(message); - std::vector reply; - RAY_RETURN_NOT_OK(conn_->AtomicRequestReply( - MessageType::WaitRequest, MessageType::WaitReply, &reply, &fbb)); - // Parse the flatbuffer object. - auto reply_message = flatbuffers::GetRoot(reply.data()); - auto *found = reply_message->found(); - absl::flat_hash_set result; - result.reserve(found->size()); - for (size_t i = 0; i < found->size(); i++) { - result.insert(ObjectID::FromBinary(found->Get(i)->str())); - } - return result; -} - -Status RayletClient::WaitForActorCallArgs( - const std::vector &references, int64_t tag) { - flatbuffers::FlatBufferBuilder fbb; - std::vector object_ids; - std::vector owner_addresses; - for (const auto &ref : references) { - object_ids.push_back(ObjectID::FromBinary(ref.object_id())); - owner_addresses.push_back(ref.owner_address()); - } - auto message = protocol::CreateWaitForActorCallArgsRequest( - fbb, to_flatbuf(fbb, object_ids), AddressesToFlatbuffer(fbb, owner_addresses), tag); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::WaitForActorCallArgsRequest, &fbb); -} - -Status RayletClient::PushError(const JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreatePushErrorRequest(fbb, - to_flatbuf(fbb, job_id), - fbb.CreateString(type), - fbb.CreateString(error_message), - timestamp); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::PushErrorRequest, &fbb); -} - -Status RayletClient::FreeObjects(const std::vector &object_ids, - bool local_only) { - flatbuffers::FlatBufferBuilder fbb; - auto message = - protocol::CreateFreeObjectsRequest(fbb, local_only, to_flatbuf(fbb, object_ids)); - fbb.Finish(message); - return conn_->WriteMessage(MessageType::FreeObjectsInObjectStoreRequest, &fbb); -} - void RayletClient::RequestWorkerLease( const rpc::TaskSpec &task_spec, bool grant_or_reject, @@ -532,16 +333,6 @@ void RayletClient::NotifyGCSRestart( grpc_client_->NotifyGCSRestart(request, callback); } -void RayletClient::SubscribeToPlasma(const ObjectID &object_id, - const rpc::Address &owner_address) { - flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateSubscribePlasmaReady( - fbb, to_flatbuf(fbb, object_id), to_flatbuf(fbb, owner_address)); - fbb.Finish(message); - - RAY_CHECK_OK(conn_->WriteMessage(MessageType::SubscribePlasmaReady, &fbb)); -} - void RayletClient::GetSystemConfig( const rpc::ClientCallback &callback) { rpc::GetSystemConfigRequest request; diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 7d7b70f2866f..345296c4c24e 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -21,13 +21,11 @@ #include #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/buffer.h" #include "ray/common/bundle_spec.h" #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/common/task/task_spec.h" #include "ray/ipc/client_connection.h" -#include "ray/raylet_client/raylet_connection.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" @@ -140,15 +138,6 @@ class RayletClientInterface { const std::vector &bundles_in_use, const rpc::ClientCallback &callback) = 0; - /// Wait for the given objects, asynchronously. The core worker is notified when - /// the wait completes. - /// - /// \param references The objects to wait for. - /// \param tag Value that will be sent to the core worker via gRPC on completion. - /// \return ray::Status. - virtual ray::Status WaitForActorCallArgs( - const std::vector &references, int64_t tag) = 0; - virtual void GetResourceLoad( const rpc::ClientCallback &callback) = 0; /// Registers a mutable object on this node so that it can be read. Writes are performed @@ -235,19 +224,6 @@ class RayletClient : public RayletClientInterface { public: /// Connect to the raylet. /// - /// \param raylet_conn connection to raylet. - /// \param address The IP address of the worker. - /// \param port The port that the worker should listen on for gRPC requests. If - /// 0, the worker should choose a random port. - /// \param client_call_manager The client call manager to use for the grpc connection. - /// \param worker_id The worker id of the worker. - RayletClient(std::unique_ptr raylet_conn, - const rpc::Address &address, - rpc::ClientCallManager &client_call_manager, - const WorkerID &worker_id); - - /// Connect to the raylet via grpc only. - /// /// \param address The IP address of the worker. /// \param port The port that the worker should listen on for gRPC requests. If /// 0, the worker should choose a random port. @@ -256,111 +232,6 @@ class RayletClient : public RayletClientInterface { rpc::ClientCallManager &client_call_manager, std::function raylet_unavailable_timeout_callback); - /// Notify the raylet that this client is disconnecting gracefully. This - /// is used by actors to exit gracefully so that the raylet doesn't - /// propagate an error message to the driver. - /// - /// It's a blocking call. - /// - /// \param disconnect_type The reason why this worker process is disconnected. - /// \param disconnect_detail The detailed reason for a given exit. - /// \return ray::Status. - ray::Status Disconnect( - const rpc::WorkerExitType &exit_type, - const std::string &exit_detail, - const std::shared_ptr &creation_task_exception_pb_bytes); - - /// Tell the raylet which port this worker's gRPC server is listening on. - /// - /// \param port The port. - /// \return ray::Status. - Status AnnounceWorkerPortForWorker(int port); - - /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. - /// - /// \param port The port. - /// \param entrypoint The entrypoint of the driver's job. - /// \return ray::Status. - Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint); - - /// Tell the raylet that the client has finished executing a task. - /// - /// \return ray::Status. - ray::Status ActorCreationTaskDone(); - - /// Ask the Raylet to pull a set of objects to the local node. - /// - /// This request is asynchronous. - /// - /// \param object_ids The IDs of the objects to pull. - /// \param owner_addresses The owner addresses of the objects. - /// \return ray::Status. - ray::Status AsyncGetObjects(const std::vector &object_ids, - const std::vector &owner_addresses); - - /// Tell the Raylet to cancel the get request from this worker. - /// - /// \return ray::Status. - ray::Status CancelGetRequest(); - - /// Notify the raylet that this client is blocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Unblock calls is important. - /// - /// \return ray::Status. - ray::Status NotifyDirectCallTaskBlocked(); - - /// Notify the raylet that this client is unblocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Block calls is important. - /// - /// \return ray::Status. - ray::Status NotifyDirectCallTaskUnblocked(); - - /// Wait for the given objects until timeout expires or num_return objects are - /// found. - /// - /// \param object_ids The objects to wait for. - /// \param owner_addresses The addresses of the workers that own the objects. - /// \param num_returns The number of objects to wait for. - /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. - /// \param result A pair with the first element containing the object ids that were - /// found, and the second element the objects that were not found. - /// \return ray::StatusOr containing error status or the set of object ids that were - /// found. - ray::StatusOr> Wait( - const std::vector &object_ids, - const std::vector &owner_addresses, - int num_returns, - int64_t timeout_milliseconds); - - /// Wait for the given objects, asynchronously. The core worker is notified when - /// the wait completes. - /// - /// \param references The objects to wait for. - /// \param tag Value that will be sent to the core worker via gRPC on completion. - /// \return ray::Status. - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag) override; - - /// Push an error to the relevant driver. - /// - /// \param The ID of the job_id that the error is for. - /// \param The type of the error. - /// \param The error message. - /// \param The timestamp of the error. - /// \return ray::Status. - ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp); - - /// Free a list of objects from object stores. - /// - /// \param object_ids A list of ObjectsIDs to be deleted. - /// \param local_only Whether keep this request with local object store - /// or send it to all the object stores. - /// \return ray::Status. - ray::Status FreeObjects(const std::vector &object_ids, bool local_only); - std::shared_ptr GetChannel() const override; void RequestWorkerLease( @@ -467,10 +338,6 @@ class RayletClient : public RayletClientInterface { void NotifyGCSRestart( const rpc::ClientCallback &callback) override; - void SubscribeToPlasma(const ObjectID &object_id, const rpc::Address &owner_address); - - WorkerID GetWorkerID() const { return worker_id_; } - const ResourceMappingType &GetResourceIDs() const { return resource_ids_; } int64_t GetPinsInFlight() const { return pins_in_flight_.load(); } @@ -482,14 +349,10 @@ class RayletClient : public RayletClientInterface { /// gRPC client to the NodeManagerService. std::shared_ptr grpc_client_; - const WorkerID worker_id_; - /// A map from resource name to the resource IDs that are currently reserved /// for this worker. Each pair consists of the resource ID and the fraction /// of that resource allocated for this worker. ResourceMappingType resource_ids_; - /// The connection to the raylet server. - std::unique_ptr conn_; /// The number of object ID pin RPCs currently in flight. std::atomic pins_in_flight_ = 0; diff --git a/src/ray/raylet_client/raylet_connection.cc b/src/ray/raylet_client/raylet_connection.cc deleted file mode 100644 index b38f6513b82f..000000000000 --- a/src/ray/raylet_client/raylet_connection.cc +++ /dev/null @@ -1,69 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet_client/raylet_connection.h" - -#include -#include -#include - -using MessageType = ray::protocol::MessageType; - -namespace ray::raylet { - -RayletConnection::RayletConnection(instrumented_io_context &io_service, - const std::string &raylet_socket, - int num_retries, - int64_t timeout) { - local_stream_socket socket(io_service); - Status s = ConnectSocketRetry(socket, raylet_socket, num_retries, timeout); - // If we could not connect to the socket, exit. - if (!s.ok()) { - RAY_LOG(FATAL) << "Could not connect to socket " << raylet_socket; - } - conn_ = ServerConnection::Create(std::move(socket)); -} - -Status RayletConnection::WriteMessage(MessageType type, - flatbuffers::FlatBufferBuilder *fbb) { - std::unique_lock guard(write_mutex_); - int64_t length = fbb ? fbb->GetSize() : 0; - uint8_t *bytes = fbb ? fbb->GetBufferPointer() : nullptr; - auto status = conn_->WriteMessage(static_cast(type), length, bytes); - ShutdownIfLocalRayletDisconnected(status); - return status; -} - -Status RayletConnection::AtomicRequestReply(MessageType request_type, - MessageType reply_type, - std::vector *reply_message, - flatbuffers::FlatBufferBuilder *fbb) { - std::unique_lock guard(mutex_); - RAY_RETURN_NOT_OK(WriteMessage(request_type, fbb)); - auto status = conn_->ReadMessage(static_cast(reply_type), reply_message); - ShutdownIfLocalRayletDisconnected(status); - return status; -} - -void RayletConnection::ShutdownIfLocalRayletDisconnected(const Status &status) { - if (!status.ok() && IsRayletFailed(RayConfig::instance().RAYLET_PID())) { - RAY_LOG(WARNING) << "The connection is failed because the local raylet has been " - "dead. Terminate the process. Status: " - << status; - QuickExit(); - RAY_LOG(FATAL) << "Unreachable."; - } -} - -} // namespace ray::raylet diff --git a/src/ray/raylet_client/raylet_connection.h b/src/ray/raylet_client/raylet_connection.h deleted file mode 100644 index bcebe3ac1f6e..000000000000 --- a/src/ray/raylet_client/raylet_connection.h +++ /dev/null @@ -1,66 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include -#include -#include - -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" - -namespace ray::raylet { - -/// `RayletConnection` is a wrapper around a connection with raylet, which is responsible -/// for sending request to raylet. -class RayletConnection { - public: - /// Connect to the raylet. - /// - /// \param io_service The IO service used for interacting with the socket. - /// \param raylet_socket The name of the socket to use to connect to the raylet. - /// \param num_retries The number of times to retry connecting before giving up. - /// \param timeout The time to wait between retries. - /// \return The connection. - RayletConnection(instrumented_io_context &io_service, - const std::string &raylet_socket, - int num_retries, - int64_t timeout); - - /// Send a request to raylet asynchronously. - ray::Status WriteMessage(ray::protocol::MessageType type, - flatbuffers::FlatBufferBuilder *fbb = nullptr); - - /// Send a request to raylet and synchronously wait for the response. - ray::Status AtomicRequestReply(ray::protocol::MessageType request_type, - ray::protocol::MessageType reply_type, - std::vector *reply_message, - flatbuffers::FlatBufferBuilder *fbb = nullptr); - - private: - /// Shutdown the raylet if the local connection is disconnected. - void ShutdownIfLocalRayletDisconnected(const Status &status); - /// The connection to raylet. - std::shared_ptr conn_; - /// A mutex to protect stateful operations of the raylet client. - std::mutex mutex_; - /// A mutex to protect write operations of the raylet client. - std::mutex write_mutex_; -}; - -} // namespace ray::raylet diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 56862a098eaf..776a24e80abd 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -133,7 +133,6 @@ ray_cc_library( # TODO(eoakes): these are needed due to a circular dependency: # raylet_client_pool.cc -> raylet_client.h -> node_manager_client.h "//src/ray/raylet_client:raylet_client.h", - "//src/ray/raylet_client:raylet_connection.h", ], visibility = ["//visibility:public"], deps = [ From d2c1c2942f63b1d7b52509da4d88cde4f5933bec Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Fri, 8 Aug 2025 12:45:40 -0700 Subject: [PATCH 0575/1566] [core][gpu-objects] Add `num_readers` to record how many times a GPU object will be consumed in a single actor task (#54808) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? ```python world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] create_collective_group(actors, backend="torch_gloo") small_tensor = torch.randn((1,)) sender = actors[0] receiver = actors[1] ref = sender.echo.remote(small_tensor) result = receiver.add.remote(ref, ref) assert ray.get(result) == pytest.approx(small_tensor * 2) ``` In the above example, the GPU object reference ref is passed twice into `receiver.add.remote(ref, ref)`. However, without this PR, the receiver actor removes the tensor after it is consumed once, causing the second task argument to fail to materialize. In this PR, we add `num_readers` in certain cases to avoid GPU objects being removed before they are read `num_readers` times. * Case 1: The sender transfers tensors to the receiver via out-of-band communication. In this case, `num_readers` is set to the number of times the GPU object reference is used in the receiver task. * Case 2: For intra-process transfer (i.e., the sender and receiver are the same actor), we rely on the object store's reference count to trigger a GC callback and remove the object. * Case 3: When the driver calls `ray.get(ref)` to materialize a GPU object, we simply set `num_readers` to 1. This has some edge cases that didn’t work in the past, but I currently can't think of a scenario where users would need this to behave differently. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: kaihsun Signed-off-by: Kai-Hsun Chen Co-authored-by: Stephanie Wang Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 12 +++- python/ray/_private/worker.py | 14 ++-- .../gpu_object_manager/gpu_object_manager.py | 31 +++++---- .../gpu_object_manager/gpu_object_store.py | 62 +++++++++++------- python/ray/tests/test_gpu_objects_gloo.py | 64 +++++++++++++++++-- 5 files changed, 134 insertions(+), 49 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 8905df69e719..ef0bbd2367d2 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -7,6 +7,8 @@ if TYPE_CHECKING: import torch + from ray.experimental.gpu_object_manager.gpu_object_store import GPUObject + import google.protobuf.message import ray._private.utils @@ -504,7 +506,7 @@ def deserialize_objects( self, serialized_ray_objects: List[SerializedRayObject], object_refs, - out_of_band_tensors: Dict[str, List["torch.Tensor"]], + gpu_objects: Dict[str, "GPUObject"], ): assert len(serialized_ray_objects) == len(object_refs) # initialize the thread-local field @@ -520,7 +522,13 @@ def deserialize_objects( self._thread_local.object_ref_stack.append(object_ref) object_tensors = None if object_ref is not None: - object_tensors = out_of_band_tensors.pop(object_ref.hex(), None) + object_id = object_ref.hex() + if object_id in gpu_objects: + gpu_object = gpu_objects[object_id] + object_tensors = gpu_object.data + gpu_object.num_readers -= 1 + if gpu_object.num_readers == 0: + gpu_objects.pop(object_id) obj = self._deserialize_object( data, metadata, diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 28cb9a06f163..e7fa2ef7782d 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -101,7 +101,7 @@ from ray.widgets.util import repr_with_fallback if TYPE_CHECKING: - import torch + from ray.experimental.gpu_object_manager import GPUObject SCRIPT_MODE = 0 WORKER_MODE = 1 @@ -870,7 +870,7 @@ def raise_errors(self, serialized_objects, object_refs): _unhandled_error_handler(e) def deserialize_objects(self, serialized_objects, object_refs): - out_of_band_tensors: Dict[str, List["torch.Tensor"]] = {} + gpu_objects: Dict[str, GPUObject] = {} for obj_ref, (_, _, tensor_transport) in zip(object_refs, serialized_objects): # If using a non-object store transport, then tensors will be sent # out-of-band. Get them before deserializing the object store data. @@ -881,9 +881,11 @@ def deserialize_objects(self, serialized_objects, object_refs): continue object_id = obj_ref.hex() - out_of_band_tensors[ - object_id - ] = self.gpu_object_manager.get_out_of_band_tensors(object_id) + if object_id not in gpu_objects: + gpu_objects[object_id] = self.gpu_object_manager.get_gpu_object( + object_id + ) + gpu_objects[object_id].num_readers += 1 # Function actor manager or the import thread may call pickle.loads # at the same time which can lead to failed imports @@ -892,7 +894,7 @@ def deserialize_objects(self, serialized_objects, object_refs): with self.function_actor_manager.lock: context = self.get_serialization_context() return context.deserialize_objects( - serialized_objects, object_refs, out_of_band_tensors + serialized_objects, object_refs, gpu_objects ) def get_objects( diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 1f8ac0a60e5f..06a2b040e49e 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -9,7 +9,10 @@ if TYPE_CHECKING: import torch - from ray.experimental.gpu_object_manager.gpu_object_store import GPUObjectStore + from ray.experimental.gpu_object_manager.gpu_object_store import ( + GPUObjectStore, + GPUObject, + ) # GPUObjectMeta is a named tuple containing the source actor, tensor transport # backend, and tensor metadata. @@ -143,6 +146,7 @@ def _recv_object( # Receive tensors from the source rank and store them in the # `dst_actor`'s GPU object store. + # # NOTE(swang): We put this task on the background thread to avoid tasks # executing on the main thread blocking the data transfer. Technically, # this is only needed for the sender task, but we put the receiver task @@ -203,21 +207,23 @@ def trigger_out_of_band_tensor_transfer( dst_actor: The target actor to receive tensors task_args: List of arguments for the target actor task that may contain ObjectRefs. """ + gpu_object_refs = set() for arg in task_args: # If an ObjectRef is managed, it means the actual value is a list of tensors stored # on a remote actor. Therefore, this function will trigger a tensor communication # operation between the sender and receiver actors. if not isinstance(arg, ObjectRef): continue + if self.is_managed_object(arg.hex()): + gpu_object_refs.add(arg) - if not self.is_managed_object(arg.hex()): - continue - + # Count the number of readers for each GPU object. + for obj_ref in gpu_object_refs: # Import get_collective_groups here to avoid dependency on # collective libraries for default Ray installation. from ray.experimental.collective import get_collective_groups - gpu_object_meta = self._get_gpu_object_metadata(arg) + gpu_object_meta = self._get_gpu_object_metadata(obj_ref) src_actor = gpu_object_meta.src_actor tensor_meta = gpu_object_meta.tensor_meta @@ -256,14 +262,15 @@ def trigger_out_of_band_tensor_transfer( # be transferred intra-process, so we skip the out-of-band tensor # transfer. continue - self._send_object(communicator.name, src_actor, arg.hex(), dst_rank) + obj_id = obj_ref.hex() + self._send_object(communicator.name, src_actor, obj_id, dst_rank) self._recv_object( - communicator.name, dst_actor, arg.hex(), src_rank, tensor_meta + communicator.name, dst_actor, obj_id, src_rank, tensor_meta ) - def get_out_of_band_tensors(self, object_id: str) -> List["torch.Tensor"]: + def get_gpu_object(self, object_id: str) -> "GPUObject": """ - Get the out-of-band tensors for a given object ID. + Get the GPU object for a given object ID. """ gpu_object_store = self.gpu_object_store if self.is_managed_object(object_id): @@ -275,11 +282,11 @@ def get_out_of_band_tensors(self, object_id: str) -> List["torch.Tensor"]: # Instead, we should wait for the GC callback to clean it up. pop_object = not gpu_object_store.is_primary_copy(object_id) if pop_object: - tensors = self.gpu_object_store.wait_and_pop_object( + gpu_object = gpu_object_store.wait_and_pop_object( object_id, timeout=ray_constants.FETCH_FAIL_TIMEOUT_SECONDS ) else: - tensors = self.gpu_object_store.wait_and_get_object( + gpu_object = gpu_object_store.wait_and_get_object( object_id, timeout=ray_constants.FETCH_FAIL_TIMEOUT_SECONDS ) - return tensors + return gpu_object diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index a7397ec7e89a..b16e056685c7 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,4 +1,5 @@ -from typing import Dict, List, Optional, Tuple, Set +from dataclasses import dataclass +from typing import Dict, List, Optional, Tuple import threading import ray.util.collective as collective @@ -40,11 +41,11 @@ def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): """Helper function that runs on the src actor to send tensors to the dst actor.""" from ray._private.worker import global_worker - gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + gpu_object_store = global_worker.gpu_object_manager._gpu_object_store assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_object(obj_id) + tensors = gpu_object_store.get_object(obj_id).data backend = collective.get_group_handle(communicator_name).backend() device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] @@ -90,8 +91,8 @@ def __ray_get_tensor_meta__(self, obj_id: str): # NOTE: We do not specify a timeout here because the user task that returns # it could take arbitrarily long and we don't want to trigger a spurious # timeout. - tensors = gpu_object_store.wait_and_get_object(obj_id) - return [(t.shape, t.dtype) for t in tensors] + gpu_object = gpu_object_store.wait_and_get_object(obj_id) + return [(t.shape, t.dtype) for t in gpu_object.data] def __ray_fetch_gpu_object__(self, obj_id: str): @@ -102,8 +103,22 @@ def __ray_fetch_gpu_object__(self, obj_id: str): assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_object(obj_id) - return tensors + gpu_object = gpu_object_store.get_object(obj_id) + return gpu_object.data + + +@dataclass +class GPUObject: + # A list of tensors representing the GPU object. + data: List["torch.Tensor"] + # Whether the GPU object is the primary copy. + is_primary: bool + # The number of reads allowed to the GPU object before it will be GCed from this actor. + # This is used to implement garbage collection for receiver actors, + # handling cases where the same GPU object reference is passed to the + # same actor task multiple times. For sender actors, we still rely on + # the object store's reference counting mechanism. + num_readers: int = 0 class GPUObjectStore: @@ -121,20 +136,18 @@ class GPUObjectStore: def __init__(self): # A dictionary that maps from an object ID to a list of tensors. # - # Note: Currently, `_gpu_object_store` is only supported for Ray Actors. - self._gpu_object_store: Dict[str, List["torch.Tensor"]] = {} + # Note: Currently, `gpu_object_store` is only supported for Ray Actors. + self._gpu_object_store: Dict[str, GPUObject] = {} # Synchronization for GPU object store. self._lock = threading.RLock() # Signal when an object becomes present in the object store. self._object_present_cv = threading.Condition(self._lock) - # A set of object IDs that are the primary copy. - self._primary_gpu_object_ids: Set[str] = set() def has_object(self, obj_id: str) -> bool: with self._lock: return obj_id in self._gpu_object_store - def get_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: + def get_object(self, obj_id: str) -> Optional[GPUObject]: with self._lock: return self._gpu_object_store[obj_id] @@ -153,18 +166,22 @@ def add_object( is_primary: Whether the GPU object is the primary copy. """ with self._object_present_cv: - if is_primary: - self._primary_gpu_object_ids.add(obj_id) - self._gpu_object_store[obj_id] = gpu_object + self._gpu_object_store[obj_id] = GPUObject( + gpu_object, + is_primary, + ) self._object_present_cv.notify_all() def is_primary_copy(self, obj_id: str) -> bool: with self._lock: - return obj_id in self._primary_gpu_object_ids + return ( + obj_id in self._gpu_object_store + and self._gpu_object_store[obj_id].is_primary + ) def wait_and_get_object( self, obj_id: str, timeout: Optional[float] = None - ) -> List["torch.Tensor"]: + ) -> GPUObject: """Atomically waits for the GPU object to be present in the GPU object store, then gets it. If the object is not present after the optional timeout, raise a TimeoutError. @@ -183,7 +200,7 @@ def wait_and_get_object( def wait_and_pop_object( self, obj_id: str, timeout: Optional[float] = None - ) -> List["torch.Tensor"]: + ) -> GPUObject: """Atomically waits for the GPU object to be present in the GPU object store, then pops it. If the object is not present after the optional timeout, raise a TimeoutError. @@ -195,7 +212,7 @@ def wait_and_pop_object( indefinitely. Returns: - The tensors in the GPU object. + The GPU object. """ with self._lock: self._wait_object(obj_id, timeout) @@ -221,15 +238,12 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: f"ObjectRef({obj_id}) not found in GPU object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" ) - def pop_object(self, obj_id: str) -> List["torch.Tensor"]: + def pop_object(self, obj_id: str) -> GPUObject: with self._lock: assert ( obj_id in self._gpu_object_store ), f"obj_id={obj_id} not found in GPU object store" - tensors = self._gpu_object_store.pop(obj_id) - if obj_id in self._primary_gpu_object_ids: - self._primary_gpu_object_ids.remove(obj_id) - return tensors + return self._gpu_object_store.pop(obj_id) def get_num_objects(self) -> int: """ diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 81713622bb0e..21d18c4fdf03 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -20,6 +20,9 @@ class GPUTestActor: def echo(self, data): return data + def add(self, a, b): + return a + b + def double(self, data): if isinstance(data, list): return [self.double(d) for d in data] @@ -27,13 +30,14 @@ def double(self, data): return data.apply(lambda x: x * 2) return data * 2 - def get_gpu_object(self, obj_id: str, timeout=None): + def get_out_of_band_tensors(self, obj_id: str, timeout=None): gpu_object_store = ( ray._private.worker.global_worker.gpu_object_manager.gpu_object_store ) if timeout is None: timeout = 0 - return gpu_object_store.wait_and_get_object(obj_id, timeout) + gpu_object = gpu_object_store.wait_and_get_object(obj_id, timeout) + return gpu_object.data def get_num_gpu_objects(self): gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager @@ -199,6 +203,43 @@ def test_p2p(ray_start_regular): assert ray.get(result) == pytest.approx(medium_tensor * 2) +def test_send_same_ref_to_same_actor_task_multiple_times(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + small_tensor = torch.randn((1,)) + sender = actors[0] + receiver = actors[1] + + ref = sender.echo.remote(small_tensor) + result = receiver.add.remote(ref, ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + wait_for_condition( + lambda: ray.get(receiver.get_num_gpu_objects.remote()) == 0, + timeout=10, + retry_interval_ms=100, + ) + + +def test_send_same_ref_to_same_actor_multiple_times(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + small_tensor = torch.randn((1,)) + sender = actors[0] + receiver = actors[1] + + ref = sender.echo.remote(small_tensor) + result = receiver.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + result = receiver.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + def test_intra_gpu_tensor_transfer(ray_start_regular): actor = GPUTestActor.remote() create_collective_group([actor], backend="torch_gloo") @@ -230,6 +271,17 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): assert result[2] == cpu_data * 2 +def test_send_same_ref_multiple_times_intra_actor(ray_start_regular): + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + small_tensor = torch.randn((1,)) + + ref = actor.echo.remote(small_tensor) + result = actor.add.remote(ref, ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + def test_mix_cpu_gpu_data(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] @@ -295,7 +347,7 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): gpu_obj_id = gpu_ref.hex() # Check src_actor has the GPU object - ret_val_src = ray.get(src_actor.get_gpu_object.remote(gpu_obj_id)) + ret_val_src = ray.get(src_actor.get_out_of_band_tensors.remote(gpu_obj_id)) assert ret_val_src is not None assert len(ret_val_src) == 1 assert torch.equal(ret_val_src[0], tensor) @@ -308,7 +360,9 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): gpu_object_manager.trigger_out_of_band_tensor_transfer(dst_actor, task_args) # Check dst_actor has the GPU object - ret_val_dst = ray.get(dst_actor.get_gpu_object.remote(gpu_obj_id, timeout=10)) + ret_val_dst = ray.get( + dst_actor.get_out_of_band_tensors.remote(gpu_obj_id, timeout=10) + ) assert ret_val_dst is not None assert len(ret_val_dst) == 1 assert torch.equal(ret_val_dst[0], tensor) @@ -415,7 +469,7 @@ def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular) # Since the tensor is extracted from the tensordict, the `ret_val_src` will be a list of tensors # instead of a tensordict. - ret_val_src = ray.get(actor.get_gpu_object.remote(gpu_ref.hex())) + ret_val_src = ray.get(actor.get_out_of_band_tensors.remote(gpu_ref.hex())) assert ret_val_src is not None assert len(ret_val_src) == 2 assert torch.equal(ret_val_src[0], td["action"]) From 0d736996eeda957d4de2aaa48b1253366e159549 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 8 Aug 2025 15:04:47 -0500 Subject: [PATCH 0576/1566] [core] Remove unused test utils (#55420) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/test_util.cc | 91 ------------------------------------- src/ray/common/test_util.h | 34 +------------- 2 files changed, 1 insertion(+), 124 deletions(-) diff --git a/src/ray/common/test_util.cc b/src/ray/common/test_util.cc index 9e01d6f33bb8..14307488c87e 100644 --- a/src/ray/common/test_util.cc +++ b/src/ray/common/test_util.cc @@ -118,66 +118,6 @@ void TestSetupUtil::FlushRedisServer(int port) { std::this_thread::sleep_for(std::chrono::milliseconds(100)); } -std::string TestSetupUtil::StartGcsServer(int port) { - std::string gcs_server_socket_name = - ray::JoinPaths(ray::GetUserTempDir(), "gcs_server" + ObjectID::FromRandom().Hex()); - std::vector cmdargs( - {TEST_GCS_SERVER_EXEC_PATH, - "--gcs_server_port=" + std::to_string(port), - "--config_list=" + - absl::Base64Escape(R"({"object_timeout_milliseconds": 2000})")}); - cmdargs.push_back("--gcs_server_port=6379"); - RAY_LOG(INFO) << "Start gcs server command: " << CreateCommandLine(cmdargs); - RAY_CHECK(!Process::Spawn(cmdargs, true, gcs_server_socket_name + ".pid").second); - std::this_thread::sleep_for(std::chrono::milliseconds(200)); - RAY_LOG(INFO) << "GCS server started."; - return gcs_server_socket_name; -} - -void TestSetupUtil::StopGcsServer(const std::string &gcs_server_socket_name) { - KillProcessBySocketName(gcs_server_socket_name); -} - -std::string TestSetupUtil::StartRaylet(const std::string &node_ip_address, - const int &port, - const std::string &bootstrap_address, - const std::string &resource, - std::string *store_socket_name) { - std::string raylet_socket_name = - ray::JoinPaths(ray::GetUserTempDir(), "raylet" + ObjectID::FromRandom().Hex()); - std::string plasma_store_socket_name = - ray::JoinPaths(ray::GetUserTempDir(), "store" + ObjectID::FromRandom().Hex()); - std::string mock_worker_command = CreateCommandLine({TEST_MOCK_WORKER_EXEC_PATH, - plasma_store_socket_name, - raylet_socket_name, - std::to_string(port), - ""}); - RAY_LOG(INFO) << "MockWorkerCommand: " << mock_worker_command; - std::vector cmdargs({TEST_RAYLET_EXEC_PATH, - "--raylet_socket_name=" + raylet_socket_name, - "--gcs-address=" + bootstrap_address, - "--store_socket_name=" + plasma_store_socket_name, - "--object_manager_port=0", - "--node_manager_port=" + std::to_string(port), - "--node_ip_address=" + node_ip_address, - "--min-worker-port=0", - "--max-worker-port=0", - "--maximum_startup_concurrency=10", - "--static_resource_list=" + resource, - "--python_worker_command=" + mock_worker_command, - "--object_store_memory=10000000"}); - - RAY_LOG(INFO) << "Raylet Start command: " << CreateCommandLine(cmdargs); - RAY_CHECK(!Process::Spawn(cmdargs, true, raylet_socket_name + ".pid").second); - std::this_thread::sleep_for(std::chrono::milliseconds(200)); - *store_socket_name = plasma_store_socket_name; - return raylet_socket_name; -} - -void TestSetupUtil::StopRaylet(const std::string &raylet_socket_name) { - KillProcessBySocketName(raylet_socket_name); -} - bool WaitReady(std::future future, const std::chrono::milliseconds &timeout_ms) { auto status = future.wait_for(timeout_ms); return status == std::future_status::ready && future.get(); @@ -210,29 +150,6 @@ void WaitForExpectedCount(std::atomic ¤t_count, EXPECT_TRUE(WaitForCondition(condition, timeout_ms)); } -void KillProcessBySocketName(std::string socket_name) { - std::string pidfile_path = socket_name + ".pid"; - { - std::ifstream pidfile(pidfile_path, std::ios_base::in); - RAY_CHECK(pidfile.good()); - pid_t pid = -1; - pidfile >> pid; - RAY_CHECK(pid != -1); - Process::FromPid(pid).Kill(); - } - ASSERT_EQ(unlink(pidfile_path.c_str()), 0); -} - -int KillAllExecutable(const std::string &executable) { - std::vector cmdargs; -#ifdef _WIN32 - cmdargs.insert(cmdargs.end(), {"taskkill", "/IM", executable}); -#else - cmdargs.insert(cmdargs.end(), {"pkill", "-x", executable}); -#endif - return Process::Call(cmdargs).value(); -} - TaskID RandomTaskId() { std::string data(TaskID::Size(), 0); FillRandom(&data); @@ -273,12 +190,4 @@ std::string TEST_REDIS_CLIENT_EXEC_PATH; /// Ports of redis server. std::vector TEST_REDIS_SERVER_PORTS; -/// Path to gcs server executable binary. -std::string TEST_GCS_SERVER_EXEC_PATH; - -/// Path to raylet executable binary. -std::string TEST_RAYLET_EXEC_PATH; -/// Path to mock worker executable binary. Required by raylet. -std::string TEST_MOCK_WORKER_EXEC_PATH; - } // namespace ray diff --git a/src/ray/common/test_util.h b/src/ray/common/test_util.h index 1251ab057bde..8be836b49e01 100644 --- a/src/ray/common/test_util.h +++ b/src/ray/common/test_util.h @@ -39,9 +39,6 @@ static inline std::vector ObjectIdsToRefs( class Buffer; class RayObject; -// Magic argument to signal to mock_worker we should check message order. -static const int64_t SHOULD_CHECK_MESSAGE_ORDER = 123450000; - /// Wait until the future is ready, or timeout is reached. /// /// \param[in] future The future to wait for. @@ -66,14 +63,6 @@ void WaitForExpectedCount(std::atomic ¤t_count, int expected_count, int timeout_ms = 60000); -/// Used to kill process whose pid is stored in `socket_name.id` file. -void KillProcessBySocketName(std::string socket_name); - -/// Kills all processes with the given executable name (similar to killall). -/// Note: On Windows, this should include the file extension (e.g. ".exe"), if any. -/// This cannot be done automatically as doing so may be incorrect in some cases. -int KillAllExecutable(const std::string &executable_with_suffix); - // A helper function to return a random task id. TaskID RandomTaskId(); @@ -92,23 +81,10 @@ extern std::string TEST_REDIS_CLIENT_EXEC_PATH; /// Ports of redis server. extern std::vector TEST_REDIS_SERVER_PORTS; -/// Path to gcs server executable binary. -extern std::string TEST_GCS_SERVER_EXEC_PATH; - -/// Path to raylet executable binary. -extern std::string TEST_RAYLET_EXEC_PATH; -/// Path to mock worker executable binary. Required by raylet. -extern std::string TEST_MOCK_WORKER_EXEC_PATH; - //-------------------------------------------------------------------------------- // COMPONENT MANAGEMENT CLASSES FOR TEST CASES //-------------------------------------------------------------------------------- -/// Test cases can use it to -/// 1. start/stop/flush redis server(s) -/// 2. start/stop object store -/// 3. start/stop gcs server -/// 4. start/stop raylet -/// 5. start/stop raylet monitor +/// Test cases can use it to start/stop/flush redis server(s). class TestSetupUtil { public: static void StartUpRedisServers(const std::vector &redis_server_ports, @@ -116,14 +92,6 @@ class TestSetupUtil { static void ShutDownRedisServers(); static void FlushAllRedisServers(); - static std::string StartGcsServer(int port); - static void StopGcsServer(const std::string &gcs_server_socket_name); - static std::string StartRaylet(const std::string &node_ip_address, - const int &port, - const std::string &bootstrap_address, - const std::string &resource, - std::string *store_socket_name); - static void StopRaylet(const std::string &raylet_socket_name); static void ExecuteRedisCmd(int port, std::vector cmd); static int StartUpRedisServer(int port, bool save = false); static void ShutDownRedisServer(int port); From d76e5d79743962b8fde591f52e726cef1cd6596c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 8 Aug 2025 13:15:57 -0700 Subject: [PATCH 0577/1566] [image] add cuda 12.6 into the cuda image matrix (#55425) there is no cuda 12.7 on nvidia repo's image listing, so the list is complete now. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 1 + .buildkite/build.rayci.yml | 3 ++- ci/ray_ci/docker_container.py | 1 + ci/ray_ci/test_ray_docker_container.py | 3 +++ 4 files changed, 7 insertions(+), 1 deletion(-) diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 97050dda7c5e..fcc4a3e770d9 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -26,6 +26,7 @@ steps: - "12.3.2-cudnn9" - "12.4.1-cudnn" - "12.5.1-cudnn" + - "12.6.3-cudnn" - "12.8.1-cudnn" env: PYTHON_VERSION: "{{matrix.python}}" diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 2f5d41f9f707..dcd69269f6a7 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -67,7 +67,8 @@ steps: --platform cu11.7.1-cudnn8 --platform cu11.8.0-cudnn8 --platform cu12.1.1-cudnn8 --platform cu12.3.2-cudnn9 --platform cu12.4.1-cudnn --platform cu12.5.1-cudnn - --platform cu12.8.1-cudnn --platform cpu + --platform cu12.6.3-cudnn --platform cu12.8.1-cudnn + --platform cpu --image-type ray --upload depends_on: - manylinux diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 5388f105ee1c..6e30335b73e1 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -15,6 +15,7 @@ "cu12.3.2-cudnn9", "cu12.4.1-cudnn", "cu12.5.1-cudnn", + "cu12.6.3-cudnn", "cu12.8.1-cudnn", ] PLATFORMS_RAY_ML = [ diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index 9aa664804115..6d474129f722 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -399,6 +399,9 @@ def test_get_platform_tag(self) -> None: container = RayDockerContainer(v, "cu12.5.1-cudnn", "ray") assert container.get_platform_tag() == "-cu125" + container = RayDockerContainer(v, "cu12.6.3-cudnn", "ray") + assert container.get_platform_tag() == "-cu126" + container = RayDockerContainer(v, "cu12.8.1-cudnn", "ray") assert container.get_platform_tag() == "-cu128" From 4bf0bcb24275e27830fca7594063dcfc73007e92 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Fri, 8 Aug 2025 13:51:20 -0700 Subject: [PATCH 0578/1566] [core][gpu-objects][1/N] Pass `tensor_transport` to `store_task_errors` even if the actor task throws an exception (#55427) ## Why are these changes needed? Currently, `tensor_transport` is only passed to `store_task_outputs` when the task executes successfully. Hence, `store_task_outputs` can determine which function should be used for serialization ([ref](https://github.com/ray-project/ray/blob/044f91033f9762571f455f60f71c2f76d1195da4/python/ray/_raylet.pyx#L4397)) based on `tensor_transport`. https://github.com/ray-project/ray/blob/044f91033f9762571f455f60f71c2f76d1195da4/python/ray/_raylet.pyx#L2113-L2119 However, if the task throws an exception, `tensor_transport` will not be passed to `store_task_errors`, so `store_task_outputs` called by `store_task_errors` doesn't have the information to determine whether this is a GPU object ref or not. https://github.com/ray-project/ray/blob/044f91033f9762571f455f60f71c2f76d1195da4/python/ray/_raylet.pyx#L2121-L2124 ## Related issue number #51275 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f2fcf5d22958..f320936899a3 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -1088,7 +1088,8 @@ cdef store_task_errors( proctitle, const CAddress &caller_address, c_vector[c_pair[CObjectID, shared_ptr[CRayObject]]] *returns, - c_string* application_error): + c_string* application_error, + CTensorTransport c_tensor_transport=TENSOR_TRANSPORT_OBJECT_STORE): cdef: CoreWorker core_worker = worker.core_worker @@ -1134,7 +1135,9 @@ cdef store_task_errors( num_errors_stored = core_worker.store_task_outputs( worker, errors, caller_address, - returns) + returns, + None, # ref_generator_id + c_tensor_transport) if (task_type == TASK_TYPE_ACTOR_CREATION_TASK): raise ActorDiedError.from_task_error(failure_object) @@ -2121,7 +2124,7 @@ cdef void execute_task( except Exception as e: num_errors_stored = store_task_errors( worker, e, task_exception, actor, actor_id, function_name, - task_type, title, caller_address, returns, application_error) + task_type, title, caller_address, returns, application_error, c_tensor_transport) if returns[0].size() > 0 and num_errors_stored == 0: logger.exception( "Unhandled error: Task threw exception, but all " From dd6b2f4cfbf96417b64fd1648afe8c7c7f3ff149 Mon Sep 17 00:00:00 2001 From: Yicheng-Lu-llll <51814063+Yicheng-Lu-llll@users.noreply.github.com> Date: Fri, 8 Aug 2025 14:19:32 -0700 Subject: [PATCH 0579/1566] [1/n] IPv6 support: address <-> host:port conversion for Python Part (#55281) Signed-off-by: Yicheng-Lu-llll Signed-off-by: Douglas Strodtman --- doc/source/ray-core/examples/lm/ray_train.py | 3 +- python/ray/_common/network_utils.py | 44 ++++++++++++ python/ray/_common/test_utils.py | 3 +- python/ray/_common/tests/BUILD | 1 + .../ray/_common/tests/test_network_utils.py | 71 +++++++++++++++++++ python/ray/_private/internal_api.py | 7 +- python/ray/_private/metrics_agent.py | 3 +- python/ray/_private/node.py | 22 +++--- python/ray/_private/services.py | 49 ++++++------- python/ray/_private/test_utils.py | 18 +++-- python/ray/_raylet.pyx | 3 +- .../ray/air/tests/test_remote_storage_hdfs.py | 3 +- python/ray/air/util/torch_dist.py | 3 +- .../_private/fake_multi_node/node_provider.py | 9 +-- .../_private/fake_multi_node/test_utils.py | 5 +- .../_private/kuberay/node_provider.py | 3 +- .../_private/kuberay/run_autoscaler.py | 3 +- python/ray/autoscaler/_private/monitor.py | 5 +- .../_private/spark/node_provider.py | 7 +- .../autoscaler/local/coordinator_server.py | 3 +- python/ray/autoscaler/v2/monitor.py | 5 +- python/ray/dashboard/agent.py | 8 ++- python/ray/dashboard/head.py | 9 ++- python/ray/dashboard/http_server_agent.py | 4 +- python/ray/dashboard/http_server_head.py | 7 +- .../aggregator/tests/test_aggregator_agent.py | 5 +- python/ray/dashboard/modules/job/job_head.py | 5 +- .../dashboard/modules/job/job_supervisor.py | 5 +- .../modules/job/tests/test_job_agent.py | 13 ++-- .../modules/job/tests/test_job_manager.py | 3 +- .../modules/reporter/reporter_agent.py | 3 +- .../modules/reporter/reporter_head.py | 23 +++--- .../modules/reporter/tests/test_reporter.py | 5 +- .../modules/usage_stats/usage_stats_head.py | 5 +- python/ray/dashboard/tests/test_dashboard.py | 13 ++-- python/ray/dashboard/utils.py | 3 +- python/ray/data/tests/mock_server.py | 6 +- python/ray/includes/common.pxi | 4 +- python/ray/includes/gcs_client.pxi | 2 +- python/ray/scripts/scripts.py | 7 +- python/ray/serve/_private/controller.py | 3 +- python/ray/serve/_private/proxy_state.py | 3 +- python/ray/serve/_private/test_utils.py | 5 +- python/ray/serve/tests/test_api_2.py | 13 ++-- python/ray/serve/tests/test_metrics.py | 3 +- python/ray/serve/tests/test_proxy.py | 9 ++- python/ray/tests/conftest.py | 15 ++-- python/ray/tests/conftest_docker.py | 3 +- python/ray/tests/mock_s3_server.py | 10 +-- python/ray/tests/test_advanced_9.py | 3 +- python/ray/tests/test_autoscaler_e2e.py | 3 +- python/ray/tests/test_cli.py | 5 +- python/ray/tests/test_client.py | 5 +- python/ray/tests/test_client_proxy.py | 3 +- python/ray/tests/test_coordinator_server.py | 3 +- python/ray/tests/test_failure_2.py | 4 +- python/ray/tests/test_failure_4.py | 5 +- python/ray/tests/test_gcs_fault_tolerance.py | 9 +-- python/ray/tests/test_gcs_utils.py | 3 +- python/ray/tests/test_metric_cardinality.py | 5 +- python/ray/tests/test_metrics.py | 3 +- python/ray/tests/test_metrics_agent.py | 17 ++--- python/ray/tests/test_placement_group_5.py | 6 +- python/ray/tests/test_plasma_unlimited.py | 3 +- python/ray/tests/test_ray_debugger.py | 9 +-- python/ray/tests/test_ray_init.py | 10 +-- python/ray/tests/test_ray_init_2.py | 3 +- python/ray/tests/test_resource_metrics.py | 3 +- python/ray/tests/test_state_api.py | 3 +- python/ray/train/lightgbm/config.py | 3 +- python/ray/train/tensorflow/config.py | 3 +- python/ray/train/torch/config.py | 3 +- python/ray/util/client/server/proxier.py | 3 +- python/ray/util/client/server/server.py | 3 +- .../collective_group/gloo_collective_group.py | 3 +- .../torch_gloo_collective_group.py | 3 +- python/ray/util/debugpy.py | 3 +- python/ray/util/rpdb.py | 5 +- python/ray/util/spark/cluster_init.py | 19 ++--- python/ray/util/state/state_cli.py | 3 +- python/ray/util/state/state_manager.py | 7 +- .../workloads/tensorflow_benchmark.py | 4 +- .../many_nodes_tests/dashboard_test.py | 3 +- .../workloads/serve_test_cluster_utils.py | 4 +- .../serve_tests/workloads/serve_test_utils.py | 3 +- rllib/env/policy_server_input.py | 6 +- .../envs/external_envs/cartpole_client.py | 4 +- .../dummy_client_with_two_episodes.py | 4 +- .../envs/external_envs/unity3d_client.py | 3 +- .../external_envs/unity3d_dummy_client.py | 3 +- .../ray_serve/ray_serve_with_rllib.py | 3 +- 91 files changed, 453 insertions(+), 211 deletions(-) create mode 100644 python/ray/_common/network_utils.py create mode 100644 python/ray/_common/tests/test_network_utils.py diff --git a/doc/source/ray-core/examples/lm/ray_train.py b/doc/source/ray-core/examples/lm/ray_train.py index cd2b266ddf4c..537680711546 100644 --- a/doc/source/ray-core/examples/lm/ray_train.py +++ b/doc/source/ray-core/examples/lm/ray_train.py @@ -11,6 +11,7 @@ from fairseq_cli.train import main import ray +from ray._common.network_utils import build_address _original_save_checkpoint = fairseq.checkpoint_utils.save_checkpoint @@ -112,7 +113,7 @@ def run_fault_tolerant_loop(): # fairseq distributed training. ip = ray.get(workers[0].get_node_ip.remote()) port = ray.get(workers[0].find_free_port.remote()) - address = "tcp://{ip}:{port}".format(ip=ip, port=port) + address = f"tcp://{build_address(ip, port)}" # Start the remote processes, and check whether their are any process # fails. If so, restart all the processes. diff --git a/python/ray/_common/network_utils.py b/python/ray/_common/network_utils.py new file mode 100644 index 000000000000..8b3c510a09e7 --- /dev/null +++ b/python/ray/_common/network_utils.py @@ -0,0 +1,44 @@ +from typing import Optional, Tuple, Union + + +def parse_address(address: str) -> Optional[Tuple[str, str]]: + """Parse a network address string into host and port. + + Args: + address: The address string to parse (e.g., "localhost:8000", "[::1]:8000"). + + Returns: + Tuple with (host, port) if port found, None if no colon separator. + """ + pos = address.rfind(":") + if pos == -1: + return None + + host = address[:pos] + port = address[pos + 1 :] + + if ":" in host: + if host.startswith("[") and host.endswith("]"): + host = host[1:-1] + else: + # Invalid IPv6 (missing brackets) or colon is part of the address, not a host:port split. + return None + + return (host, port) + + +def build_address(host: str, port: Union[int, str]) -> str: + """Build a network address string from host and port. + + Args: + host: The hostname or IP address. + port: The port number (int or string). + + Returns: + Formatted address string (e.g., "localhost:8000" or "[::1]:8000"). + """ + if host is not None and ":" in host: + # IPv6 address + return f"[{host}]:{port}" + # IPv4 address or hostname + return f"{host}:{port}" diff --git a/python/ray/_common/test_utils.py b/python/ray/_common/test_utils.py index f9106c530afc..957a73be0158 100644 --- a/python/ray/_common/test_utils.py +++ b/python/ray/_common/test_utils.py @@ -18,6 +18,7 @@ import ray +from ray._common.network_utils import build_address import ray._private.utils import ray._common.usage.usage_lib as ray_usage_lib @@ -174,7 +175,7 @@ def simulate_s3_bucket( os.environ["AWS_SECURITY_TOKEN"] = "testing" os.environ["AWS_SESSION_TOKEN"] = "testing" - s3_server = f"http://localhost:{port}" + s3_server = f"http://{build_address('localhost', port)}" server = ThreadedMotoServer(port=port) server.start() url = f"s3://{uuid.uuid4().hex}?region={region}&endpoint_override={s3_server}" diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD index 0821ffcf2535..8535dd58cb07 100644 --- a/python/ray/_common/tests/BUILD +++ b/python/ray/_common/tests/BUILD @@ -14,6 +14,7 @@ py_library( py_test_module_list( size = "small", files = [ + "test_network_utils.py", "test_ray_option_utils.py", "test_signal_semaphore_utils.py", "test_signature.py", diff --git a/python/ray/_common/tests/test_network_utils.py b/python/ray/_common/tests/test_network_utils.py new file mode 100644 index 000000000000..2eee263f9a29 --- /dev/null +++ b/python/ray/_common/tests/test_network_utils.py @@ -0,0 +1,71 @@ +import pytest +import sys + +from ray._common.network_utils import parse_address, build_address + + +class TestBuildAddress: + """Test cases for build_address function, matching C++ tests exactly.""" + + @pytest.mark.parametrize( + "host,port,expected", + [ + # IPv4 + ("192.168.1.1", 8080, "192.168.1.1:8080"), + ("192.168.1.1", "8080", "192.168.1.1:8080"), + # IPv6 + ("::1", 8080, "[::1]:8080"), + ("::1", "8080", "[::1]:8080"), + ("2001:db8::1", 8080, "[2001:db8::1]:8080"), + ("2001:db8::1", "8080", "[2001:db8::1]:8080"), + # Hostname + ("localhost", 9000, "localhost:9000"), + ("localhost", "9000", "localhost:9000"), + ], + ) + def test_build_address(self, host, port, expected): + """Test building address strings from host and port.""" + result = build_address(host, port) + assert result == expected + + +class TestParseAddress: + """Test cases for parse_address function, matching C++ tests exactly.""" + + @pytest.mark.parametrize( + "address,expected", + [ + # IPv4 + ("192.168.1.1:8080", ("192.168.1.1", "8080")), + # IPv6:loopback address + ("[::1]:8080", ("::1", "8080")), + # IPv6 + ("[2001:db8::1]:8080", ("2001:db8::1", "8080")), + # Hostname:Port + ("localhost:9000", ("localhost", "9000")), + ], + ) + def test_parse_valid_addresses(self, address, expected): + """Test parsing valid addresses.""" + result = parse_address(address) + assert result == expected + + @pytest.mark.parametrize( + "address", + [ + # bare IP or hostname + # should return None when no port is found + "::1", + "2001:db8::1", + "192.168.1.1", + "localhost", + ], + ) + def test_parse_bare_addresses(self, address): + """Test parsing bare addresses returns None.""" + result = parse_address(address) + assert result is None + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/_private/internal_api.py b/python/ray/_private/internal_api.py index ea35a5bacb5d..a461a09360bb 100644 --- a/python/ray/_private/internal_api.py +++ b/python/ray/_private/internal_api.py @@ -6,6 +6,7 @@ import ray._private.services as services import ray._private.utils as utils import ray._private.worker +from ray._common.network_utils import build_address from ray._private.state import GlobalState from ray._raylet import GcsClientOptions from ray.core.generated import common_pb2 @@ -68,11 +69,11 @@ def get_memory_info_reply(state, node_manager_address=None, node_manager_port=No raylet = node break assert raylet is not None, "Every raylet is dead" - raylet_address = "{}:{}".format( + raylet_address = build_address( raylet["NodeManagerAddress"], raylet["NodeManagerPort"] ) else: - raylet_address = "{}:{}".format(node_manager_address, node_manager_port) + raylet_address = build_address(node_manager_address, node_manager_port) channel = utils.init_grpc_channel( raylet_address, @@ -99,7 +100,7 @@ def node_stats( # We can ask any Raylet for the global memory info. assert node_manager_address is not None and node_manager_port is not None - raylet_address = "{}:{}".format(node_manager_address, node_manager_port) + raylet_address = build_address(node_manager_address, node_manager_port) channel = utils.init_grpc_channel( raylet_address, options=[ diff --git a/python/ray/_private/metrics_agent.py b/python/ray/_private/metrics_agent.py index 9c4d77bba7a6..1de034dfd49c 100644 --- a/python/ray/_private/metrics_agent.py +++ b/python/ray/_private/metrics_agent.py @@ -34,6 +34,7 @@ ) import ray +from ray._common.network_utils import build_address from ray._private.ray_constants import env_bool from ray._private.telemetry.metric_cardinality import ( WORKER_ID_TAG_KEY, @@ -780,7 +781,7 @@ def get_file_discovery_content(self): """Return the content for Prometheus service discovery.""" nodes = ray.nodes() metrics_export_addresses = [ - "{}:{}".format(node["NodeManagerAddress"], node["MetricsExportPort"]) + build_address(node["NodeManagerAddress"], node["MetricsExportPort"]) for node in nodes if node["alive"] is True ] diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 63e465eba9cb..b11a4664400a 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -22,6 +22,7 @@ import ray import ray._private.ray_constants as ray_constants import ray._private.services +from ray._common.network_utils import build_address, parse_address from ray._common.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES from ray._common.utils import try_to_create_directory from ray._private.resource_and_label_spec import ResourceAndLabelSpec @@ -109,7 +110,6 @@ def __init__( # instance provided. if len(external_redis) == 1: external_redis.append(external_redis[0]) - [primary_redis_ip, port] = external_redis[0].rsplit(":", 1) ray_params.external_addresses = external_redis ray_params.num_redis_shards = len(external_redis) - 1 @@ -196,8 +196,8 @@ def __init__( assert not self._default_worker self._webui_url = ray._private.services.get_webui_url_from_internal_kv() else: - self._webui_url = ( - f"{ray_params.dashboard_host}:{ray_params.dashboard_port}" + self._webui_url = build_address( + ray_params.dashboard_host, ray_params.dashboard_port ) # It creates a session_dir. @@ -421,14 +421,14 @@ def check_persisted_session_name(self): @staticmethod def validate_ip_port(ip_port): """Validates the address is in the ip:port format""" - _, _, port = ip_port.rpartition(":") - if port == ip_port: + parts = parse_address(ip_port) + if parts is None: raise ValueError(f"Port is not specified for address {ip_port}") try: - _ = int(port) + _ = int(parts[1]) except ValueError: raise ValueError( - f"Unable to parse port number from {port} (full address = {ip_port})" + f"Unable to parse port number from {parts[1]} (full address = {ip_port})" ) def check_version_info(self): @@ -633,7 +633,7 @@ def runtime_env_agent_port(self): @property def runtime_env_agent_address(self): """Get the address that exposes runtime env agent as http""" - return f"http://{self._raylet_ip_address}:{self._runtime_env_agent_port}" + return f"http://{build_address(self._raylet_ip_address, self._runtime_env_agent_port)}" @property def dashboard_agent_listen_port(self): @@ -941,7 +941,9 @@ def _prepare_socket_file(self, socket_path: str, default_prefix: str): result = socket_path if sys.platform == "win32": if socket_path is None: - result = f"tcp://{self._localhost}:{self._get_unused_port()}" + result = ( + f"tcp://{build_address(self._localhost, self._get_unused_port())}" + ) else: if socket_path is None: result = self._make_inc_temp( @@ -1161,7 +1163,7 @@ def start_gcs_server(self): # e.g. https://github.com/ray-project/ray/issues/15780 # TODO(mwtian): figure out a way to use 127.0.0.1 for local connection # when possible. - self._gcs_address = f"{self._node_ip_address}:" f"{gcs_server_port}" + self._gcs_address = build_address(self._node_ip_address, gcs_server_port) def start_raylet( self, diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index cbf80471af27..6785a78c571f 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -21,6 +21,7 @@ # Ray modules import ray import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address, parse_address from ray._private.ray_constants import RAY_NODE_IP_FILENAME from ray._private.resource_isolation_config import ResourceIsolationConfig from ray._raylet import GcsClient, GcsClientOptions @@ -264,10 +265,6 @@ def __init__(self, *args, **kwargs): super(ConsolePopen, self).__init__(*args, **kwargs) -def address(ip_address, port): - return ip_address + ":" + str(port) - - def _find_address_from_flag(flag: str): """ Attempts to find all valid Ray addresses on this node, specified by the @@ -526,12 +523,18 @@ def canonicalize_bootstrap_address( addr = get_ray_address_from_environment(addr, temp_dir) if addr is None or addr == "local": return None + + parsed = parse_address(addr) + if parsed is None: + raise ValueError(f"Invalid address format: {addr}") + host, port = parsed + try: - bootstrap_address = resolve_ip_for_localhost(addr) + bootstrap_host = resolve_ip_for_localhost(host) except Exception: logger.exception(f"Failed to convert {addr} to host:port") raise - return bootstrap_address + return build_address(bootstrap_host, port) def canonicalize_bootstrap_address_or_die( @@ -574,11 +577,12 @@ def canonicalize_bootstrap_address_or_die( def extract_ip_port(bootstrap_address: str): - if ":" not in bootstrap_address: + ip_port = parse_address(bootstrap_address) + if ip_port is None: raise ValueError( f"Malformed address {bootstrap_address}. " f"Expected ':'." ) - ip, _, port = bootstrap_address.rpartition(":") + ip, port = ip_port try: port = int(port) except ValueError: @@ -591,27 +595,24 @@ def extract_ip_port(bootstrap_address: str): return ip, port -def resolve_ip_for_localhost(address: str): - """Convert to a remotely reachable IP if the address is "localhost" - or "127.0.0.1". Otherwise do nothing. +def resolve_ip_for_localhost(host: str): + """Convert to a remotely reachable IP if the host is "localhost", + "127.0.0.1", or "::1". Otherwise do nothing. Args: - address: This can be either a string containing a hostname (or an IP - address) and a port or it can be just an IP address. + host: The hostname or IP address. Returns: - The same address but with the local host replaced by remotely + The same host but with the local host replaced by remotely reachable IP. """ - if not address: - raise ValueError(f"Malformed address: {address}") - address_parts = address.split(":") - if address_parts[0] == "127.0.0.1" or address_parts[0] == "localhost": + if not host: + raise ValueError(f"Malformed host: {host}") + if host == "127.0.0.1" or host == "::1" or host == "localhost": # Make sure localhost isn't resolved to the loopback ip - ip_address = get_node_ip_address() - return ":".join([ip_address] + address_parts[1:]) + return get_node_ip_address() else: - return address + return host def node_ip_address_from_perspective(address: str): @@ -624,7 +625,7 @@ def node_ip_address_from_perspective(address: str): Returns: The IP address by which the local node can be reached from the address. """ - ip_address, port = address.split(":") + ip_address, port = parse_address(address) s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) try: # This command will raise an exception if there is no internet @@ -1430,7 +1431,7 @@ def get_address(redis_address): parts = redis_address.split("://", 1) enable_redis_ssl = False if len(parts) == 1: - redis_ip_address, redis_port = parts[0].rsplit(":", 1) + redis_ip_address, redis_port = parse_address(parts[0]) else: # rediss for SSL if len(parts) != 2 or parts[0] not in ("redis", "rediss"): @@ -1439,7 +1440,7 @@ def get_address(redis_address): "Expected format is ip:port or redis://ip:port, " "or rediss://ip:port for SSL." ) - redis_ip_address, redis_port = parts[1].rsplit(":", 1) + redis_ip_address, redis_port = parse_address(parts[1]) if parts[0] == "rediss": enable_redis_ssl = True return redis_ip_address, redis_port, enable_redis_ssl diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index d79b964252bd..dc33017aea0d 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -30,6 +30,7 @@ import ray._private.services import ray._private.services as services import ray._private.utils +from ray._common.network_utils import build_address, parse_address from ray._common.test_utils import wait_for_condition from ray._common.utils import get_or_create_event_loop from ray._private import ( @@ -657,7 +658,7 @@ def get_metric_check_condition( node_info = ray.nodes()[0] metrics_export_port = node_info["MetricsExportPort"] addr = node_info["NodeManagerAddress"] - prom_addr = export_addr or f"{addr}:{metrics_export_port}" + prom_addr = export_addr or build_address(addr, metrics_export_port) def f(): for metric_pattern in metrics_to_check: @@ -770,9 +771,8 @@ def put_object(obj, use_ray_put): def wait_until_server_available(address, timeout_ms=5000, retry_interval_ms=100): - ip_port = address.split(":") - ip = ip_port[0] - port = int(ip_port[1]) + ip, port_str = parse_address(address) + port = int(port_str) time_elapsed = 0 start = time.time() while time_elapsed <= timeout_ms: @@ -1421,7 +1421,7 @@ def _kill_raylet(self, ip, port, graceful=False): from ray.core.generated import node_manager_pb2_grpc - raylet_address = f"{ip}:{port}" + raylet_address = build_address(ip, port) channel = grpc.insecure_channel(raylet_address) stub = node_manager_pb2_grpc.NodeManagerServiceStub(channel) try: @@ -1774,7 +1774,9 @@ def get_node_stats(raylet, num_retry=5, timeout=2): from ray.core.generated import node_manager_pb2_grpc - raylet_address = f'{raylet["NodeManagerAddress"]}:{raylet["NodeManagerPort"]}' + raylet_address = build_address( + raylet["NodeManagerAddress"], raylet["NodeManagerPort"] + ) channel = ray._private.utils.init_grpc_channel(raylet_address) stub = node_manager_pb2_grpc.NodeManagerServiceStub(channel) for _ in range(num_retry): @@ -1826,7 +1828,9 @@ def kill_raylet(raylet, graceful=False): from ray.core.generated import node_manager_pb2_grpc - raylet_address = f'{raylet["NodeManagerAddress"]}:{raylet["NodeManagerPort"]}' + raylet_address = build_address( + raylet["NodeManagerAddress"], raylet["NodeManagerPort"] + ) channel = grpc.insecure_channel(raylet_address) stub = node_manager_pb2_grpc.NodeManagerServiceStub(channel) try: diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f320936899a3..e51d12958700 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -230,6 +230,7 @@ import ray._private.profiling as profiling from ray._common.utils import decode from ray._private.utils import DeferSigint from ray._private.object_ref_generator import DynamicObjectRefGenerator +from ray._common.network_utils import build_address, parse_address from ray.util.annotations import PublicAPI from ray._private.custom_types import TensorTransportEnum @@ -2805,7 +2806,7 @@ cdef class _GcsSubscriber: # subscriber_id needs to match the binary format of a random # SubscriberID / UniqueID, which is 28 (kUniqueIDSize) random bytes. subscriber_id = bytes(bytearray(random.getrandbits(8) for _ in range(28))) - gcs_address, gcs_port = address.split(":") + gcs_address, gcs_port = parse_address(address) self.inner.reset(new CPythonGcsSubscriber( gcs_address, int(gcs_port), channel, subscriber_id, c_worker_id)) diff --git a/python/ray/air/tests/test_remote_storage_hdfs.py b/python/ray/air/tests/test_remote_storage_hdfs.py index d4fc860666e6..e9a9478ef045 100644 --- a/python/ray/air/tests/test_remote_storage_hdfs.py +++ b/python/ray/air/tests/test_remote_storage_hdfs.py @@ -5,6 +5,7 @@ import pytest from ray import train +from ray._common.network_utils import build_address from ray.train.base_trainer import TrainingFailedError from ray.train.data_parallel_trainer import DataParallelTrainer from ray.train.tests.test_new_persistence import ( @@ -44,7 +45,7 @@ def test_hdfs_train_checkpointing(tmp_path, monkeypatch, setup_hdfs): no_checkpoint_ranks = [0] hostname, port = setup_hdfs - storage_path = f"hdfs://{hostname}:{port}/results/" + storage_path = f"hdfs://{build_address(hostname, port)}/results/" storage_filesystem = None checkpoint_config = train.CheckpointConfig( diff --git a/python/ray/air/util/torch_dist.py b/python/ray/air/util/torch_dist.py index 6a7316497710..acc7d78a47f8 100644 --- a/python/ray/air/util/torch_dist.py +++ b/python/ray/air/util/torch_dist.py @@ -18,6 +18,7 @@ from ray.actor import ActorHandle from ray.air._internal.torch_utils import get_devices from ray.train._internal.utils import get_address_and_port +from ray._common.network_utils import build_address class TorchDistributedWorker(ABC): @@ -55,7 +56,7 @@ def _init_torch_distributed( os.environ["MASTER_PORT"] = str(master_port) url = "env://" elif init_method == "tcp": - url = f"tcp://{master_addr}:{master_port}" + url = f"tcp://{build_address(master_addr, master_port)}" else: raise ValueError( f"The provided init_method (" diff --git a/python/ray/autoscaler/_private/fake_multi_node/node_provider.py b/python/ray/autoscaler/_private/fake_multi_node/node_provider.py index ccbb7c1fae65..270385c37506 100644 --- a/python/ray/autoscaler/_private/fake_multi_node/node_provider.py +++ b/python/ray/autoscaler/_private/fake_multi_node/node_provider.py @@ -13,6 +13,7 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address from ray.autoscaler._private.fake_multi_node.command_runner import ( FakeDockerCommandRunner, ) @@ -359,13 +360,13 @@ def _create_node_with_resources_and_labels( object_store_memory=resources.pop("object_store_memory", None), resources=resources, labels=labels, - redis_address="{}:6379".format( - ray._private.services.get_node_ip_address() + redis_address=build_address( + ray._private.services.get_node_ip_address(), 6379 ) if not self._gcs_address else self._gcs_address, - gcs_address="{}:6379".format( - ray._private.services.get_node_ip_address() + gcs_address=build_address( + ray._private.services.get_node_ip_address(), 6379 ) if not self._gcs_address else self._gcs_address, diff --git a/python/ray/autoscaler/_private/fake_multi_node/test_utils.py b/python/ray/autoscaler/_private/fake_multi_node/test_utils.py index 9deccf8536d1..d541ed5f408a 100644 --- a/python/ray/autoscaler/_private/fake_multi_node/test_utils.py +++ b/python/ray/autoscaler/_private/fake_multi_node/test_utils.py @@ -13,6 +13,7 @@ import yaml import ray +from ray._common.network_utils import build_address from ray._private.dict import deep_update from ray.autoscaler._private.fake_multi_node.node_provider import ( FAKE_DOCKER_DEFAULT_CLIENT_PORT, @@ -102,10 +103,10 @@ def connect(self, client: bool = True, timeout: int = 120, **init_kwargs): if client: port = self.client_port - address = f"ray://{host}:{port}" + address = f"ray://{build_address(host, port)}" else: port = self.gcs_port - address = f"{host}:{port}" + address = build_address(host, port) timeout_at = time.monotonic() + timeout while time.monotonic() < timeout_at: diff --git a/python/ray/autoscaler/_private/kuberay/node_provider.py b/python/ray/autoscaler/_private/kuberay/node_provider.py index 0bf01e550443..b62b5ca78fa2 100644 --- a/python/ray/autoscaler/_private/kuberay/node_provider.py +++ b/python/ray/autoscaler/_private/kuberay/node_provider.py @@ -22,6 +22,7 @@ STATUS_UPDATE_FAILED, TAG_RAY_USER_NODE_TYPE, ) +from ray._common.network_utils import build_address # Key for KubeRay label that identifies a Ray pod as head or worker. KUBERAY_LABEL_KEY_KIND = "ray.io/node-type" @@ -51,7 +52,7 @@ "KUBERNETES_SERVICE_HOST", "https://kubernetes.default" ) KUBERNETES_SERVICE_PORT = os.getenv("KUBERNETES_SERVICE_PORT_HTTPS", "443") -KUBERNETES_HOST = f"{KUBERNETES_SERVICE_HOST}:{KUBERNETES_SERVICE_PORT}" +KUBERNETES_HOST = build_address(KUBERNETES_SERVICE_HOST, KUBERNETES_SERVICE_PORT) # Key for GKE label that identifies which multi-host replica a pod belongs to REPLICA_INDEX_KEY = "replicaIndex" diff --git a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py index cf380bb475ca..dcc810073797 100644 --- a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py +++ b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py @@ -11,6 +11,7 @@ ) from ray._private.ray_logging import setup_component_logger from ray._private.services import get_node_ip_address +from ray._common.network_utils import build_address from ray._common.utils import try_to_create_directory from ray._raylet import GcsClient from ray.autoscaler._private.kuberay.autoscaling_config import AutoscalingConfigProducer @@ -34,7 +35,7 @@ def _get_log_dir() -> str: def run_kuberay_autoscaler(cluster_name: str, cluster_namespace: str): """Wait until the Ray head container is ready. Then start the autoscaler.""" head_ip = get_node_ip_address() - ray_address = f"{head_ip}:6379" + ray_address = build_address(head_ip, 6379) while True: try: # Autoscaler Ray version might not exactly match GCS version, so skip the diff --git a/python/ray/autoscaler/_private/monitor.py b/python/ray/autoscaler/_private/monitor.py index cbc5eaee5646..d62886e3a669 100644 --- a/python/ray/autoscaler/_private/monitor.py +++ b/python/ray/autoscaler/_private/monitor.py @@ -21,6 +21,7 @@ from ray._private.event.event_logger import get_event_logger from ray._private.ray_logging import setup_component_logger from ray._raylet import GcsClient +from ray._common.network_utils import parse_address, build_address from ray.autoscaler._private.autoscaler import StandardAutoscaler from ray.autoscaler._private.commands import teardown_cluster from ray.autoscaler._private.constants import ( @@ -152,14 +153,14 @@ def __init__( _initialize_internal_kv(self.gcs_client) if monitor_ip: - monitor_addr = f"{monitor_ip}:{AUTOSCALER_METRIC_PORT}" + monitor_addr = build_address(monitor_ip, AUTOSCALER_METRIC_PORT) self.gcs_client.internal_kv_put( b"AutoscalerMetricsAddress", monitor_addr.encode(), True, None ) self._session_name = self.get_session_name(self.gcs_client) logger.info(f"session_name: {self._session_name}") worker.mode = 0 - head_node_ip = self.gcs_address.split(":")[0] + head_node_ip = parse_address(self.gcs_address)[0] self.load_metrics = LoadMetrics() self.last_avail_resources = None diff --git a/python/ray/autoscaler/_private/spark/node_provider.py b/python/ray/autoscaler/_private/spark/node_provider.py index 73d32bcb04d4..9fbea1f525ab 100644 --- a/python/ray/autoscaler/_private/spark/node_provider.py +++ b/python/ray/autoscaler/_private/spark/node_provider.py @@ -18,6 +18,7 @@ TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE, ) +from ray._common.network_utils import build_address logger = logging.getLogger(__name__) @@ -49,7 +50,9 @@ def __init__(self, provider_config, cluster_name): # to launch spark jobs, ray worker nodes are launched by spark task in # spark jobs. spark_job_server_port = self.provider_config["spark_job_server_port"] - self.spark_job_server_url = f"http://{self.ray_head_ip}:{spark_job_server_port}" + self.spark_job_server_url = ( + f"http://{build_address(self.ray_head_ip, spark_job_server_port)}" + ) self.ray_head_port = self.provider_config["ray_head_port"] # The unique id for the Ray on spark cluster. self.cluster_id = self.provider_config["cluster_unique_id"] @@ -190,7 +193,7 @@ def _create_node_with_resources_and_labels( "spark_job_group_desc": ( "This job group is for spark job which runs the Ray " f"cluster worker node {node_id} connecting to ray " - f"head node {self.ray_head_ip}:{self.ray_head_port}" + f"head node {build_address(self.ray_head_ip, self.ray_head_port)}" ), "using_stage_scheduling": conf["using_stage_scheduling"], "ray_head_ip": self.ray_head_ip, diff --git a/python/ray/autoscaler/local/coordinator_server.py b/python/ray/autoscaler/local/coordinator_server.py index 540071ec20b1..6ea69d71857b 100644 --- a/python/ray/autoscaler/local/coordinator_server.py +++ b/python/ray/autoscaler/local/coordinator_server.py @@ -11,6 +11,7 @@ from http.server import HTTPServer, SimpleHTTPRequestHandler from ray.autoscaler._private.local.node_provider import LocalNodeProvider +from ray._common.network_utils import build_address logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO) @@ -76,7 +77,7 @@ def __init__(self, list_of_node_ips, host, port): """Initialize HTTPServer and serve forever by invoking self.run().""" logger.info( - "Running on prem coordinator server on address " + host + ":" + str(port) + "Running on prem coordinator server on address " + build_address(host, port) ) threading.Thread.__init__(self) self._port = port diff --git a/python/ray/autoscaler/v2/monitor.py b/python/ray/autoscaler/v2/monitor.py index 139f544afb73..e771d6e7e404 100644 --- a/python/ray/autoscaler/v2/monitor.py +++ b/python/ray/autoscaler/v2/monitor.py @@ -22,6 +22,7 @@ from ray._common.usage.usage_lib import record_extra_usage_tag from ray._private.worker import SCRIPT_MODE from ray._raylet import GcsClient +from ray._common.network_utils import parse_address, build_address from ray.autoscaler._private.constants import ( AUTOSCALER_METRIC_PORT, AUTOSCALER_UPDATE_INTERVAL_S, @@ -79,14 +80,14 @@ def __init__( self.gcs_client = GcsClient(address=self.gcs_address) if monitor_ip: - monitor_addr = f"{monitor_ip}:{AUTOSCALER_METRIC_PORT}" + monitor_addr = build_address(monitor_ip, AUTOSCALER_METRIC_PORT) self.gcs_client.internal_kv_put( b"AutoscalerMetricsAddress", monitor_addr.encode(), True, None ) self._session_name = self._get_session_name(self.gcs_client) logger.info(f"session_name: {self._session_name}") worker.set_mode(SCRIPT_MODE) - head_node_ip = self.gcs_address.split(":")[0] + head_node_ip = parse_address(self.gcs_address)[0] self.autoscaler = None if log_dir: diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 9e6513342d17..9302f020e898 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -11,6 +11,7 @@ import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray._private import logging_utils +from ray._common.network_utils import build_address from ray._private.process_watcher import create_check_raylet_task from ray._private.ray_constants import AGENT_GRPC_MAX_MESSAGE_LENGTH from ray._private.ray_logging import setup_component_logger @@ -111,7 +112,7 @@ def _init_non_minimal(self): grpc_ip = "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0" try: self.grpc_port = add_port_to_grpc_server( - self.server, f"{grpc_ip}:{self.dashboard_agent_port}" + self.server, build_address(grpc_ip, self.dashboard_agent_port) ) except Exception: # TODO(SongGuyang): Catch the exception here because there is @@ -124,7 +125,10 @@ def _init_non_minimal(self): self.server = None self.grpc_port = None else: - logger.info("Dashboard agent grpc address: %s:%s", grpc_ip, self.grpc_port) + logger.info( + "Dashboard agent grpc address: %s", + build_address(grpc_ip, self.grpc_port), + ) # If the agent is not minimal it should start the http server # to communicate with the dashboard in a head node. diff --git a/python/ray/dashboard/head.py b/python/ray/dashboard/head.py index e9cbfc593837..90469fd5c94d 100644 --- a/python/ray/dashboard/head.py +++ b/python/ray/dashboard/head.py @@ -24,6 +24,7 @@ DashboardHeadModuleConfig, async_loop_forever, ) +from ray._common.network_utils import build_address import psutil @@ -301,7 +302,7 @@ async def _setup_metrics(self, gcs_client): # Setup prometheus metrics export server assert internal_kv._internal_kv_initialized() assert gcs_client is not None - address = f"{self.ip}:{DASHBOARD_METRIC_PORT}" + address = build_address(self.ip, DASHBOARD_METRIC_PORT) await gcs_client.async_internal_kv_put( "DashboardMetricsAddress".encode(), address.encode(), True, namespace=None ) @@ -436,7 +437,9 @@ def on_new_lag(lag_s): dashboard_head_modules, subprocess_module_handles ) http_host, http_port = self.http_server.get_address() - logger.info(f"http server initialized at {http_host}:{http_port}") + logger.info( + f"http server initialized at {build_address(http_host, http_port)}" + ) else: logger.info("http server disabled.") @@ -455,7 +458,7 @@ def on_new_lag(lag_s): # server address to Ray via stdin / stdout or a pipe. self.gcs_client.internal_kv_put( ray_constants.DASHBOARD_ADDRESS.encode(), - f"{dashboard_http_host}:{http_port}".encode(), + build_address(dashboard_http_host, http_port).encode(), True, namespace=ray_constants.KV_NAMESPACE_DASHBOARD, ) diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index eba97aee9ad5..846df9c565b9 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -7,6 +7,7 @@ import ray.dashboard.optional_utils as dashboard_optional_utils from ray._common.utils import get_or_create_event_loop +from ray._common.network_utils import build_address from ray.dashboard.optional_deps import aiohttp, aiohttp_cors, hdrs logger = logging.getLogger(__name__) @@ -113,7 +114,8 @@ async def start(self, modules: List) -> None: self.http_host, self.http_port, *_ = site._server.sockets[0].getsockname() logger.info( - "Dashboard agent http address: %s:%s", self.http_host, self.http_port + "Dashboard agent http address: %s", + build_address(self.http_host, self.http_port), ) # Dump registered http routes. diff --git a/python/ray/dashboard/http_server_head.py b/python/ray/dashboard/http_server_head.py index e9b8ca2ef08d..ffac41f4d7d1 100644 --- a/python/ray/dashboard/http_server_head.py +++ b/python/ray/dashboard/http_server_head.py @@ -18,7 +18,9 @@ import ray.dashboard.utils as dashboard_utils from ray import ray_constants from ray._common.utils import get_or_create_event_loop +from ray._common.network_utils import build_address from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._common.network_utils import parse_address from ray.dashboard.dashboard_metrics import DashboardPrometheusMetrics from ray.dashboard.head import DashboardHeadModule @@ -89,7 +91,7 @@ def __init__( self.http_host = http_host self.http_port = http_port self.http_port_retries = http_port_retries - self.head_node_ip = gcs_address.split(":")[0] + self.head_node_ip = parse_address(gcs_address)[0] self.metrics = metrics self._session_name = session_name @@ -288,7 +290,8 @@ async def run( else self.http_host ) logger.info( - "Dashboard head http address: %s:%s", self.http_host, self.http_port + "Dashboard head http address: %s", + build_address(self.http_host, self.http_port), ) # Dump registered http routes. dump_routes = [r for r in app.router.routes() if r.method != hdrs.METH_HEAD] diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 312efbc9cc4f..94d29ab0840c 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -17,6 +17,7 @@ wait_until_server_available, find_free_port, ) +from ray._common.network_utils import parse_address, build_address from ray.core.generated.events_event_aggregator_service_pb2_grpc import ( EventAggregatorServiceStub, @@ -59,8 +60,8 @@ def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): An helper function to get the gRPC stub for the event aggregator agent. Should only be used in tests. """ - ip, port = webui_url.split(":") - agent_address = f"{ip}:{ray_constants.DEFAULT_DASHBOARD_AGENT_LISTEN_PORT}" + ip, _ = parse_address(webui_url) + agent_address = build_address(ip, ray_constants.DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) assert wait_until_server_available(agent_address) gcs_address = gcs_address diff --git a/python/ray/dashboard/modules/job/job_head.py b/python/ray/dashboard/modules/job/job_head.py index 348d8eeab10b..333075b10679 100644 --- a/python/ray/dashboard/modules/job/job_head.py +++ b/python/ray/dashboard/modules/job/job_head.py @@ -25,6 +25,7 @@ pin_runtime_env_uri, upload_package_to_gcs, ) +from ray._common.network_utils import build_address from ray.dashboard.consts import ( DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX, GCS_RPC_TIMEOUT_SECONDS, @@ -324,7 +325,7 @@ async def _pick_random_agent_once(self) -> JobAgentSubmissionClient: # JobAgentSubmissionClient. May raise if the node_id is removed in # InternalKV after the _fetch_all_agent_node_ids, though unlikely. ip, http_port, _ = await self._fetch_agent_info(node_id) - agent_http_address = f"http://{ip}:{http_port}" + agent_http_address = f"http://{build_address(ip, http_port)}" self._agents[node_id] = JobAgentSubmissionClient(agent_http_address) return self._agents[node_id] @@ -339,7 +340,7 @@ async def _get_head_node_agent_once(self) -> JobAgentSubmissionClient: if head_node_id not in self._agents: ip, http_port, _ = await self._fetch_agent_info(head_node_id) - agent_http_address = f"http://{ip}:{http_port}" + agent_http_address = f"http://{build_address(ip, http_port)}" self._agents[head_node_id] = JobAgentSubmissionClient(agent_http_address) return self._agents[head_node_id] diff --git a/python/ray/dashboard/modules/job/job_supervisor.py b/python/ray/dashboard/modules/job/job_supervisor.py index efe4069d725c..9b9536a4129e 100644 --- a/python/ray/dashboard/modules/job/job_supervisor.py +++ b/python/ray/dashboard/modules/job/job_supervisor.py @@ -25,6 +25,7 @@ ) from ray.dashboard.modules.job.job_log_storage_client import JobLogStorageClient from ray.job_submission import JobStatus +from ray._common.network_utils import build_address import psutil @@ -336,9 +337,7 @@ async def run( await _start_signal_actor.wait.remote() node = ray._private.worker.global_worker.node - driver_agent_http_address = ( - f"http://{node.node_ip_address}:{node.dashboard_agent_listen_port}" - ) + driver_agent_http_address = f"http://{build_address(node.node_ip_address, node.dashboard_agent_listen_port)}" driver_node_id = ray.get_runtime_context().get_node_id() await self._job_info_client.put_status( diff --git a/python/ray/dashboard/modules/job/tests/test_job_agent.py b/python/ray/dashboard/modules/job/tests/test_job_agent.py index 477dc46ae7c3..7922c1cdff97 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_agent.py +++ b/python/ray/dashboard/modules/job/tests/test_job_agent.py @@ -25,6 +25,7 @@ run_string_as_driver_nonblocking, wait_until_server_available, ) +from ray._common.network_utils import parse_address, build_address from ray.dashboard.modules.job.common import ( JOB_ACTOR_NAME_TEMPLATE, SUPERVISOR_ACTOR_RAY_NAMESPACE, @@ -76,8 +77,8 @@ def __init__(self, *args, **kwargs): @pytest_asyncio.fixture async def job_sdk_client(make_sure_dashboard_http_port_unused): with _ray_start(include_dashboard=True, num_cpus=1) as ctx: - ip, _ = ctx.address_info["webui_url"].split(":") - agent_address = f"{ip}:{DEFAULT_DASHBOARD_AGENT_LISTEN_PORT}" + ip, _ = parse_address(ctx.address_info["webui_url"]) + agent_address = build_address(ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) assert wait_until_server_available(agent_address) head_address = ctx.address_info["webui_url"] assert wait_until_server_available(head_address) @@ -468,8 +469,8 @@ async def test_job_log_in_multiple_node( dashboard_agent_listen_port=DEFAULT_DASHBOARD_AGENT_LISTEN_PORT + 2 ) - ip, port = cluster.webui_url.split(":") - agent_address = f"{ip}:{DEFAULT_DASHBOARD_AGENT_LISTEN_PORT}" + ip, _ = parse_address(cluster.webui_url) + agent_address = build_address(ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) assert wait_until_server_available(agent_address) client = JobAgentSubmissionClient(format_web_url(agent_address)) @@ -603,9 +604,9 @@ async def test_non_default_dashboard_agent_http_port(tmp_path): # We will need to wait for the ray to be started in the subprocess. address_info = ray.init("auto", ignore_reinit_error=True).address_info - ip, _ = address_info["webui_url"].split(":") + ip, _ = parse_address(address_info["webui_url"]) dashboard_agent_listen_port = address_info["dashboard_agent_listen_port"] - agent_address = f"{ip}:{dashboard_agent_listen_port}" + agent_address = build_address(ip, dashboard_agent_listen_port) print("agent address = ", agent_address) agent_client = JobAgentSubmissionClient(format_web_url(agent_address)) diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index 2f2906878df5..4481acb667b8 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -17,6 +17,7 @@ KV_NAMESPACE_JOB, RAY_ADDRESS_ENVIRONMENT_VARIABLE, ) +from ray._common.network_utils import build_address from ray._common.test_utils import ( async_wait_for_condition, ) @@ -1187,7 +1188,7 @@ async def test_bootstrap_address(job_manager, monkeypatch): ip = ray._private.ray_constants.DEFAULT_DASHBOARD_IP port = ray._private.ray_constants.DEFAULT_DASHBOARD_PORT - monkeypatch.setenv("RAY_ADDRESS", f"http://{ip}:{port}") + monkeypatch.setenv("RAY_ADDRESS", f"http://{build_address(ip, port)}") print_ray_address_cmd = ( 'python -c"' "import os;" "import ray;" "ray.init();" "print('SUCCESS!');" '"' ) diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index c82d7cfab88b..877257b78b1e 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -30,6 +30,7 @@ get_or_create_event_loop, get_user_temp_dir, ) +from ray._common.network_utils import parse_address from ray._private.utils import get_system_memory from ray.dashboard.modules.reporter.gpu_providers import ( GpuMetricProvider, @@ -417,7 +418,7 @@ def __init__(self, dashboard_agent): self._gcs_client = dashboard_agent.gcs_client self._ip = dashboard_agent.ip self._log_dir = dashboard_agent.log_dir - self._is_head_node = self._ip == dashboard_agent.gcs_address.split(":")[0] + self._is_head_node = self._ip == parse_address(dashboard_agent.gcs_address)[0] self._hostname = socket.gethostname() # (pid, created_time) -> psutil.Process self._workers = {} diff --git a/python/ray/dashboard/modules/reporter/reporter_head.py b/python/ray/dashboard/modules/reporter/reporter_head.py index dff63a642bff..d8e76b25bb07 100644 --- a/python/ray/dashboard/modules/reporter/reporter_head.py +++ b/python/ray/dashboard/modules/reporter/reporter_head.py @@ -13,6 +13,7 @@ import ray.dashboard.utils as dashboard_utils from ray import ActorID, NodeID from ray._private.metrics_agent import PrometheusServiceDiscoveryWriter +from ray._common.network_utils import build_address from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS, @@ -253,7 +254,7 @@ async def get_task_traceback( text=f"Failed to get agent address for node {node_id_hex}" ) node_id, ip, http_port, grpc_port = addrs - reporter_stub = self._make_stub(f"{ip}:{grpc_port}") + reporter_stub = self._make_stub(build_address(ip, grpc_port)) # Default not using `--native` for profiling native = req.query.get("native", False) == "1" @@ -351,7 +352,7 @@ async def get_task_cpu_profile( text=f"Failed to get agent address for node {node_id_hex}" ) node_id, ip, http_port, grpc_port = addrs - reporter_stub = self._make_stub(f"{ip}:{grpc_port}") + reporter_stub = self._make_stub(build_address(ip, grpc_port)) try: (pid, _) = await self.get_worker_details_for_running_task( @@ -361,7 +362,7 @@ async def get_task_cpu_profile( raise aiohttp.web.HTTPInternalServerError(text=str(e)) logger.info( - f"Sending CPU profiling request to {ip}:{grpc_port}, pid {pid}, for {task_id} with native={native}" + f"Sending CPU profiling request to {build_address(ip, grpc_port)}, pid {pid}, for {task_id} with native={native}" ) reply = await reporter_stub.CpuProfiling( @@ -428,11 +429,11 @@ async def get_traceback(self, req: aiohttp.web.Request) -> aiohttp.web.Response: text=f"Failed to get agent address for node at IP {ip}" ) node_id, ip, http_port, grpc_port = addrs - reporter_stub = self._make_stub(f"{ip}:{grpc_port}") + reporter_stub = self._make_stub(build_address(ip, grpc_port)) # Default not using `--native` for profiling native = req.query.get("native", False) == "1" logger.info( - f"Sending stack trace request to {ip}:{grpc_port}, pid {pid}, with native={native}" + f"Sending stack trace request to {build_address(ip, grpc_port)}, pid {pid}, with native={native}" ) pid = int(pid) reply = await reporter_stub.GetTraceback( @@ -474,7 +475,7 @@ async def cpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: text=f"Failed to get agent address for node at IP {ip}" ) node_id, ip, http_port, grpc_port = addrs - reporter_stub = self._make_stub(f"{ip}:{grpc_port}") + reporter_stub = self._make_stub(build_address(ip, grpc_port)) pid = int(pid) duration_s = int(req.query.get("duration", 5)) @@ -485,7 +486,7 @@ async def cpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: # Default not using `--native` for profiling native = req.query.get("native", False) == "1" logger.info( - f"Sending CPU profiling request to {ip}:{grpc_port}, pid {pid}, with native={native}" + f"Sending CPU profiling request to {build_address(ip, grpc_port)}, pid {pid}, with native={native}" ) reply = await reporter_stub.CpuProfiling( reporter_pb2.CpuProfilingRequest( @@ -546,13 +547,13 @@ async def gpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: text=f"Failed to get agent address for node at IP {ip}, pid {pid}" ) node_id, ip, http_port, grpc_port = addrs - reporter_stub = self._make_stub(f"{ip}:{grpc_port}") + reporter_stub = self._make_stub(build_address(ip, grpc_port)) # Profile for num_iterations training steps (calls to optimizer.step()) num_iterations = int(req.query.get("num_iterations", 4)) logger.info( - f"Sending GPU profiling request to {ip}:{grpc_port}, pid {pid}. " + f"Sending GPU profiling request to {build_address(ip, grpc_port)}, pid {pid}. " f"Profiling for {num_iterations} training steps." ) @@ -659,7 +660,7 @@ async def memory_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response _, ip, _, grpc_port = addrs assert pid is not None - ip_port = f"{ip}:{grpc_port}" + ip_port = build_address(ip, grpc_port) duration_s = int(req.query.get("duration", 10)) @@ -672,7 +673,7 @@ async def memory_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response reporter_stub = self._make_stub(ip_port) logger.info( - f"Retrieving memory profiling request to {ip}:{grpc_port}, pid {pid}, with native={native}" + f"Retrieving memory profiling request to {build_address(ip, grpc_port)}, pid {pid}, with native={native}" ) reply = await reporter_stub.MemoryProfiling( diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 3514c4f3396c..4ea6b4070f2f 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -17,6 +17,7 @@ import ray._common.usage.usage_lib as ray_usage_lib from ray._private import ray_constants from ray._private.metrics_agent import fix_grpc_metric +from ray._common.network_utils import build_address from ray._private.test_utils import ( fetch_prometheus, format_web_url, @@ -217,7 +218,7 @@ def test_prometheus_physical_stats_record( addresses = ray.init(include_dashboard=True, num_cpus=1) metrics_export_port = addresses["metrics_export_port"] addr = addresses["raylet_ip_address"] - prom_addresses = [f"{addr}:{metrics_export_port}"] + prom_addresses = [build_address(addr, metrics_export_port)] def test_case_stats_exist(): _, metric_descriptors, _ = fetch_prometheus(prom_addresses) @@ -284,7 +285,7 @@ def test_prometheus_export_worker_and_memory_stats(enable_test_module, shutdown_ addresses = ray.init(include_dashboard=True, num_cpus=1) metrics_export_port = addresses["metrics_export_port"] addr = addresses["raylet_ip_address"] - prom_addresses = [f"{addr}:{metrics_export_port}"] + prom_addresses = [build_address(addr, metrics_export_port)] @ray.remote def f(): diff --git a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py index 5b5fea0cb8c5..0cecf0fba77a 100644 --- a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py +++ b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py @@ -11,6 +11,7 @@ import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray.dashboard.utils import async_loop_forever +from ray._common.network_utils import build_address logger = logging.getLogger(__name__) @@ -29,7 +30,9 @@ def __init__(self, config: dashboard_utils.DashboardHeadModuleConfig): # The seq number of report. It increments whenever a new report is sent. self.seq_no = 0 - self._dashboard_url_base = f"http://{self.http_host}:{self.http_port}" + self._dashboard_url_base = ( + f"http://{build_address(self.http_host, self.http_port)}" + ) # We want to record stats for anyone who has run ray with grafana or # prometheus at any point in time during a ray session. self._grafana_ran_before = False diff --git a/python/ray/dashboard/tests/test_dashboard.py b/python/ray/dashboard/tests/test_dashboard.py index a9f9132daccf..43afbe941b26 100644 --- a/python/ray/dashboard/tests/test_dashboard.py +++ b/python/ray/dashboard/tests/test_dashboard.py @@ -30,6 +30,7 @@ LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, ) +from ray._common.network_utils import build_address, parse_address from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS_LEGACY, @@ -330,7 +331,7 @@ def test_agent_report_unexpected_raylet_death_large_file( ) def test_dashboard_address_local(ray_start_with_dashboard): webui_url = ray_start_with_dashboard["webui_url"] - webui_ip = webui_url.split(":")[0] + webui_ip = parse_address(webui_url)[0] assert not ipaddress.ip_address(webui_ip).is_unspecified assert webui_ip == "127.0.0.1" @@ -349,7 +350,7 @@ def test_dashboard_address_local(ray_start_with_dashboard): ) def test_dashboard_address_global(ray_start_with_dashboard): webui_url = ray_start_with_dashboard["webui_url"] - webui_ip = webui_url.split(":")[0] + webui_ip = parse_address(webui_url)[0] assert not ipaddress.ip_address(webui_ip).is_unspecified assert webui_ip == ray_start_with_dashboard["node_ip_address"] @@ -391,7 +392,7 @@ def test_http_get(enable_test_module, ray_start_with_dashboard): node_ip, http_port, _ = json.loads(agent_addr) response = requests.get( - f"http://{node_ip}:{http_port}" + f"http://{build_address(node_ip, http_port)}" f"/test/http_get_from_agent?url={quote_plus(target_url)}" ) response.raise_for_status() @@ -915,7 +916,7 @@ def test_dashboard_port_conflict(ray_start_with_dashboard): address_info = ray_start_with_dashboard gcs_client = make_gcs_client(address_info) ray.experimental.internal_kv._initialize_internal_kv(gcs_client) - host, port = address_info["webui_url"].split(":") + host, port = parse_address(address_info["webui_url"]) temp_dir = "/tmp/ray" session_dir = "/tmp/ray/session_latest" log_dir = "/tmp/ray/session_latest/logs" @@ -1053,7 +1054,7 @@ def test_agent_does_not_depend_on_serve(shutdown_only): logger.info("Agent works.") - agent_url = node.node_ip_address + ":" + str(node.dashboard_agent_listen_port) + agent_url = build_address(node.node_ip_address, node.dashboard_agent_listen_port) # Check that Serve-dependent features fail try: @@ -1315,7 +1316,7 @@ async def make_blocking_call(): # Fetch the metrics from the dashboard. addr = ray_context["raylet_ip_address"] - prom_addresses = [f"{addr}:{dashboard_consts.DASHBOARD_METRIC_PORT}"] + prom_addresses = [build_address(addr, dashboard_consts.DASHBOARD_METRIC_PORT)] def check_lag_metrics(): metrics_samples: Dict[str, List[Sample]] = fetch_prometheus_metrics( diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index be153978bbcc..47c6340133d4 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -28,6 +28,7 @@ import ray.experimental.internal_kv as internal_kv from ray._common.utils import get_or_create_event_loop from ray._private.gcs_utils import GcsChannel +from ray._common.network_utils import parse_address from ray._private.utils import ( get_dashboard_dependency_error, split_address, @@ -345,7 +346,7 @@ def to_posix_time(dt): def address_tuple(address): if isinstance(address, tuple): return address - ip, port = address.split(":") + ip, port = parse_address(address) return ip, int(port) diff --git a/python/ray/data/tests/mock_server.py b/python/ray/data/tests/mock_server.py index d8b9c0ef19ec..f8a5e22bfa12 100644 --- a/python/ray/data/tests/mock_server.py +++ b/python/ray/data/tests/mock_server.py @@ -8,6 +8,8 @@ import pytest import requests +from ray._common.network_utils import build_address + _proxy_bypass = { "http": None, "https": None, @@ -25,7 +27,7 @@ def start_service(service_name, host, port): process = sp.Popen( args, stdin=sp.PIPE, stdout=sp.PIPE, stderr=sp.PIPE ) # shell=True - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" for i in range(0, 30): output = process.poll() @@ -73,7 +75,7 @@ def stop_process(process): def s3_server(): host = "localhost" port = 5002 - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" process = start_service("s3", host, port) yield url stop_process(process) diff --git a/python/ray/includes/common.pxi b/python/ray/includes/common.pxi index 7b0660e3489b..636a4600b0ea 100644 --- a/python/ray/includes/common.pxi +++ b/python/ray/includes/common.pxi @@ -63,8 +63,8 @@ cdef class GcsClientOptions: c_cluster_id = CClusterID.FromHex(cluster_id_hex) self = GcsClientOptions() try: - ip, port = gcs_address.split(":", 2) - port = int(port) + ip, port_str = parse_address(gcs_address) + port = int(port_str) self.inner.reset( new CGcsClientOptions( ip, port, c_cluster_id, allow_cluster_id_nil, allow_cluster_id_nil)) diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 8c3ecbfe741f..77f1265d85e2 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -72,7 +72,7 @@ cdef class InnerGcsClient: cdef c_pair[c_string, int] pair = self.inner.get().GetGcsServerAddress() host = pair.first.decode("utf-8") port = pair.second - return f"{host}:{port}" + return build_address(host, port) @property def cluster_id(self) -> ray.ClusterID: diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 54e9b0209d61..1e28c74efd0b 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -35,6 +35,7 @@ get_ray_client_dependency_error, parse_resources_json, ) +from ray._common.network_utils import parse_address, build_address from ray._private.internal_api import memory_summary from ray._common.usage import usage_lib import ray._common.usage.usage_constants as usage_constant @@ -196,7 +197,7 @@ def continue_debug_session(live_jobs: Set[str]): key, namespace=ray_constants.KV_NAMESPACE_PDB ) return - host, port = session["pdb_address"].split(":") + host, port = parse_address(session["pdb_address"]) ray.util.rpdb._connect_pdb_client(host, int(port)) ray.experimental.internal_kv._internal_kv_del( key, namespace=ray_constants.KV_NAMESPACE_PDB @@ -337,7 +338,7 @@ def debug(address: str, verbose: bool): active_sessions[index], namespace=ray_constants.KV_NAMESPACE_PDB ) ) - host, port = session["pdb_address"].split(":") + host, port = parse_address(session["pdb_address"]) ray.util.rpdb._connect_pdb_client(host, int(port)) @@ -920,7 +921,7 @@ def start( # Fail early when starting a new cluster when one is already running if address is None: - default_address = f"{ray_params.node_ip_address}:{port}" + default_address = build_address(ray_params.node_ip_address, port) bootstrap_address = services.find_bootstrap_address(temp_dir) if ( default_address == bootstrap_address diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 974e859987f0..cc0724f20565 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -6,6 +6,7 @@ from typing import Any, Dict, Iterable, List, Optional, Tuple, Union import ray +from ray._common.network_utils import build_address from ray._common.utils import run_background_task from ray._raylet import GcsClient from ray.actor import ActorHandle @@ -659,7 +660,7 @@ def get_root_url(self): return os.environ[SERVE_ROOT_URL_ENV_KEY] else: return ( - f"http://{http_config.host}:{http_config.port}" + f"http://{build_address(http_config.host, http_config.port)}" f"{http_config.root_path}" ) return http_config.root_url diff --git a/python/ray/serve/_private/proxy_state.py b/python/ray/serve/_private/proxy_state.py index c241a0f2774c..cea71187d1d9 100644 --- a/python/ray/serve/_private/proxy_state.py +++ b/python/ray/serve/_private/proxy_state.py @@ -8,6 +8,7 @@ import ray from ray import ObjectRef +from ray._common.network_utils import build_address from ray.actor import ActorHandle from ray.exceptions import GetTimeoutError, RayActorError from ray.serve._private.cluster_node_info_cache import ClusterNodeInfoCache @@ -159,7 +160,7 @@ def _get_or_create_proxy_actor( try: proxy = ray.get_actor(name, namespace=SERVE_NAMESPACE) except ValueError: - addr = f"{http_options.host}:{http_options.port}" + addr = build_address(http_options.host, http_options.port) logger.info( f"Starting proxy on node '{node_id}' listening on '{addr}'.", extra={"log_to_stderr": False}, diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index 21cfa7ea0061..1d95c41a4893 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -15,6 +15,7 @@ import ray import ray.util.state as state_api from ray import serve +from ray._common.network_utils import build_address from ray.actor import ActorHandle from ray.serve._private.client import ServeControllerClient from ray.serve._private.common import ( @@ -763,13 +764,13 @@ def get_application_urls( ip = "localhost" if use_localhost else target.ip if protocol == RequestProtocol.HTTP: scheme = "ws" if is_websocket else "http" - url = f"{scheme}://{ip}:{target.port}{route_prefix}" + url = f"{scheme}://{build_address(ip, target.port)}{route_prefix}" elif protocol == RequestProtocol.GRPC: if is_websocket: raise ValueError( "is_websocket=True is not supported with gRPC protocol." ) - url = f"{ip}:{target.port}" + url = build_address(ip, target.port) else: raise ValueError(f"Unsupported protocol: {protocol}") url = url.rstrip("/") diff --git a/python/ray/serve/tests/test_api_2.py b/python/ray/serve/tests/test_api_2.py index d74e37477fca..65fd4c63e28e 100644 --- a/python/ray/serve/tests/test_api_2.py +++ b/python/ray/serve/tests/test_api_2.py @@ -2,6 +2,7 @@ import ray from ray import serve +from ray._common.network_utils import build_address from ray.serve._private.common import RequestProtocol from ray.serve._private.test_utils import get_application_urls @@ -14,13 +15,17 @@ def f(): serve.run(f.bind()) controller_details = ray.get(serve_instance._controller.get_actor_details.remote()) node_ip = controller_details.node_ip - assert get_application_urls(use_localhost=False) == [f"http://{node_ip}:8000"] - assert get_application_urls("gRPC", use_localhost=False) == [f"{node_ip}:9000"] + assert get_application_urls(use_localhost=False) == [ + f"http://{build_address(node_ip, 8000)}" + ] + assert get_application_urls("gRPC", use_localhost=False) == [ + build_address(node_ip, 9000) + ] assert get_application_urls(RequestProtocol.HTTP, use_localhost=False) == [ - f"http://{node_ip}:8000" + f"http://{build_address(node_ip, 8000)}" ] assert get_application_urls(RequestProtocol.GRPC, use_localhost=False) == [ - f"{node_ip}:9000" + build_address(node_ip, 9000) ] diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index 75ece14c3252..cf2107d339c8 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -17,6 +17,7 @@ import ray import ray.util.state as state_api from ray import serve +from ray._common.network_utils import parse_address from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( fetch_prometheus_metrics, @@ -571,7 +572,7 @@ async def __call__(self, request: Request): # Simulate an HTTP disconnect http_url = get_application_url("HTTP", app_name="disconnect") ip_port = http_url.replace("http://", "").split("/")[0] # remove the route prefix - ip, port = ip_port.split(":") + ip, port = parse_address(ip_port) conn = http.client.HTTPConnection(ip, int(port)) conn.request("GET", "/disconnect") wait_for_condition( diff --git a/python/ray/serve/tests/test_proxy.py b/python/ray/serve/tests/test_proxy.py index 4cee5f4c261e..6393194fc53b 100644 --- a/python/ray/serve/tests/test_proxy.py +++ b/python/ray/serve/tests/test_proxy.py @@ -6,6 +6,7 @@ import ray from ray import serve +from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition from ray.actor import ActorHandle from ray.serve._private.constants import ( @@ -166,8 +167,12 @@ def check_replicas_on_worker_nodes(): assert len(ray.nodes()) == 2 # Set up gRPC channels. - head_node_channel = grpc.insecure_channel(f"localhost:{head_node_grpc_port}") - worker_node_channel = grpc.insecure_channel(f"localhost:{worker_node_grpc_port}") + head_node_channel = grpc.insecure_channel( + build_address("localhost", head_node_grpc_port) + ) + worker_node_channel = grpc.insecure_channel( + build_address("localhost", worker_node_grpc_port) + ) # Ensures ListApplications method on the head node is succeeding. wait_for_condition( diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index fa16dfed6d53..a3738328233c 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -24,6 +24,7 @@ from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants from ray._private.conftest_utils import set_override_dashboard_url # noqa: F401 +from ray._common.network_utils import build_address from ray._private.runtime_env import virtualenv_utils from ray._private.test_utils import ( @@ -90,8 +91,8 @@ def wait_for_redis_to_start( try: # Run some random command and see if it worked. logger.debug( - "Waiting for redis server at {}:{} to respond...".format( - redis_ip_address, redis_port + "Waiting for redis server at {} to respond...".format( + build_address(redis_ip_address, redis_port) ) ) redis_client.client_list() @@ -105,14 +106,14 @@ def wait_for_redis_to_start( # redis.AuthenticationError isn't trapped here. except redis.AuthenticationError as authEx: raise RuntimeError( - f"Unable to connect to Redis at {redis_ip_address}:{redis_port}." + f"Unable to connect to Redis at {build_address(redis_ip_address, redis_port)}." ) from authEx except redis.ConnectionError as connEx: if i >= num_retries - 1: raise RuntimeError( - f"Unable to connect to Redis at {redis_ip_address}:" - f"{redis_port} after {num_retries} retries. Check that " - f"{redis_ip_address}:{redis_port} is reachable from this " + f"Unable to connect to Redis at {build_address(redis_ip_address, redis_port)} " + f"after {num_retries} retries. Check that " + f"{build_address(redis_ip_address, redis_port)} is reachable from this " "machine. If it is not, your firewall may be blocking " "this port. If the problem is a flaky connection, try " "setting the environment variable " @@ -830,7 +831,7 @@ def call_ray_start_with_external_redis(request): for port in port_list: temp_dir = ray._common.utils.get_ray_temp_dir() start_redis_instance(temp_dir, int(port), password="123") - address_str = ",".join(map(lambda x: "localhost:" + x, port_list)) + address_str = ",".join(map(lambda x: build_address("localhost", x), port_list)) cmd = f"ray start --head --address={address_str} --redis-password=123" subprocess.call(cmd.split(" ")) diff --git a/python/ray/tests/conftest_docker.py b/python/ray/tests/conftest_docker.py index 5af01235493a..ffe5d5c72ac4 100644 --- a/python/ray/tests/conftest_docker.py +++ b/python/ray/tests/conftest_docker.py @@ -5,6 +5,7 @@ import subprocess import docker from typing import List +from ray._common.network_utils import build_address # If you need to debug tests using fixtures in this file, # comment in the volume @@ -126,7 +127,7 @@ def gen_worker_node(envs, num_cpus): "ray", "start", "--address", - f"{head_node_container_name}:6379", + build_address(head_node_container_name, 6379), "--block", # Fix the port of raylet to make sure raylet restarts at the same # ip:port is treated as a different raylet. diff --git a/python/ray/tests/mock_s3_server.py b/python/ray/tests/mock_s3_server.py index 820f733d810c..b935e7865c1a 100644 --- a/python/ray/tests/mock_s3_server.py +++ b/python/ray/tests/mock_s3_server.py @@ -7,6 +7,8 @@ import subprocess as sp import time +from ray._common.network_utils import build_address + _proxy_bypass = { "http": None, "https": None, @@ -19,7 +21,7 @@ def start_service(service_name, host, port): process = sp.Popen( args, stdin=sp.PIPE, stdout=sp.DEVNULL, stderr=sp.DEVNULL ) # shell=True - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" for i in range(0, 30): output = process.poll() @@ -61,7 +63,7 @@ def stop_process(process): def dynamodb2_server(): host = "localhost" port = 5001 - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" process = start_service("dynamodb2", host, port) yield url stop_process(process) @@ -71,7 +73,7 @@ def dynamodb2_server(): def s3_server(): host = "localhost" port = 5002 - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" process = start_service("s3", host, port) yield url stop_process(process) @@ -81,7 +83,7 @@ def s3_server(): def kms_server(): host = "localhost" port = 5003 - url = "http://{host}:{port}".format(host=host, port=port) + url = f"http://{build_address(host, port)}" process = start_service("kms", host, port) yield url diff --git a/python/ray/tests/test_advanced_9.py b/python/ray/tests/test_advanced_9.py index 5013b59da9fa..39160849b148 100644 --- a/python/ray/tests/test_advanced_9.py +++ b/python/ray/tests/test_advanced_9.py @@ -15,6 +15,7 @@ get_gcs_memory_used, run_string_as_driver_nonblocking, ) +from ray._common.network_utils import parse_address from ray._common.test_utils import Semaphore, wait_for_condition from ray.experimental.internal_kv import _internal_kv_list from ray.tests.conftest import call_ray_start @@ -395,7 +396,7 @@ def test_redis_full(ray_start_cluster_head): gcs_address = ray_start_cluster_head.gcs_address redis_addr = os.environ["RAY_REDIS_ADDRESS"] - host, port = redis_addr.split(":") + host, port = parse_address(redis_addr) if os.environ.get("TEST_EXTERNAL_REDIS_REPLICAS", "1") != "1": cli = redis.RedisCluster(host, int(port)) else: diff --git a/python/ray/tests/test_autoscaler_e2e.py b/python/ray/tests/test_autoscaler_e2e.py index 27fb074963f4..b491a824a14a 100644 --- a/python/ray/tests/test_autoscaler_e2e.py +++ b/python/ray/tests/test_autoscaler_e2e.py @@ -5,6 +5,7 @@ import ray from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT +from ray._common.network_utils import build_address from ray._private.test_utils import ( get_metric_check_condition, MetricSamplePattern, @@ -161,7 +162,7 @@ def ping(self): def test_metrics(local_autoscaling_cluster, shutdown_only): info = ray.init(address="auto") - autoscaler_export_addr = "{}:{}".format( + autoscaler_export_addr = build_address( info.address_info["node_ip_address"], AUTOSCALER_METRIC_PORT ) diff --git a/python/ray/tests/test_cli.py b/python/ray/tests/test_cli.py index fd9e42b200d9..782d8792b879 100644 --- a/python/ray/tests/test_cli.py +++ b/python/ray/tests/test_cli.py @@ -48,6 +48,7 @@ import ray.scripts.scripts as scripts import ray._private.utils as utils from ray.util.check_open_ports import check_open_ports +from ray._common.network_utils import build_address, parse_address from ray._common.test_utils import wait_for_condition from ray.cluster_utils import cluster_not_supported from ray.util.state import list_nodes @@ -1034,7 +1035,7 @@ def do_POST(self): yield ( OpenPortCheckServer, - f"http://{server.server_address[0]}:{server.server_address[1]}", + f"http://{build_address(server.server_address[0], server.server_address[1])}", ) server.shutdown() @@ -1057,7 +1058,7 @@ def test_ray_check_open_ports(shutdown_only, start_open_port_check_server): ) assert result.exit_code == 0 assert ( - int(context.address_info["gcs_address"].split(":")[1]) + int(parse_address(context.address_info["gcs_address"])[1]) in open_port_check_server.request_ports ) assert "[🟢] No open ports detected" in result.output diff --git a/python/ray/tests/test_client.py b/python/ray/tests/test_client.py index f45ae35cc5de..d9c52088bd97 100644 --- a/python/ray/tests/test_client.py +++ b/python/ray/tests/test_client.py @@ -22,6 +22,7 @@ disable_client_hook, enable_client_mode, ) +from ray._common.network_utils import build_address from ray._private.test_utils import run_string_as_driver from ray.tests.client_test_utils import ( create_remote_signal_actor, @@ -48,7 +49,9 @@ # Client server port of the shared Ray instance SHARED_CLIENT_SERVER_PORT = 25555 -SHARED_CLIENT_SERVER_ADDRESS = f"ray://localhost:{SHARED_CLIENT_SERVER_PORT}" +SHARED_CLIENT_SERVER_ADDRESS = ( + f"ray://{build_address('localhost', SHARED_CLIENT_SERVER_PORT)}" +) @pytest.fixture(scope="module") diff --git a/python/ray/tests/test_client_proxy.py b/python/ray/tests/test_client_proxy.py index 0fc80b259ddc..a653db604bb7 100644 --- a/python/ray/tests/test_client_proxy.py +++ b/python/ray/tests/test_client_proxy.py @@ -13,6 +13,7 @@ import ray from ray._common.test_utils import wait_for_condition import ray.core.generated.ray_client_pb2 as ray_client_pb2 +from ray._common.network_utils import parse_address import ray.util.client.server.proxier as proxier from ray._private.ray_constants import REDIS_DEFAULT_PASSWORD from ray._private.test_utils import run_string_as_driver @@ -90,7 +91,7 @@ def test_proxy_manager_bad_startup(shutdown_only): pm, free_ports = start_ray_and_proxy_manager(n_ports=2) client = "client1" ctx = ray.init(ignore_reinit_error=True) - port_to_conflict = ctx.dashboard_url.split(":")[1] + _, port_to_conflict = parse_address(ctx.dashboard_url) pm.create_specific_server(client) # Intentionally bind to the wrong port so that the diff --git a/python/ray/tests/test_coordinator_server.py b/python/ray/tests/test_coordinator_server.py index bc9fa14ccf9b..645b2d91c4e0 100644 --- a/python/ray/tests/test_coordinator_server.py +++ b/python/ray/tests/test_coordinator_server.py @@ -17,6 +17,7 @@ from ray.autoscaler._private.local.coordinator_node_provider import ( CoordinatorSenderNodeProvider, ) +from ray._common.network_utils import build_address from ray.autoscaler.tags import ( TAG_RAY_NODE_KIND, TAG_RAY_CLUSTER_NAME, @@ -39,7 +40,7 @@ def setUp(self): host=self.host, port=self.port, ) - self.coordinator_address = self.host + ":" + str(self.port) + self.coordinator_address = build_address(self.host, self.port) def tearDown(self): self.server.shutdown() diff --git a/python/ray/tests/test_failure_2.py b/python/ray/tests/test_failure_2.py index 473b882b3d4e..83231a5bd0e4 100644 --- a/python/ray/tests/test_failure_2.py +++ b/python/ray/tests/test_failure_2.py @@ -11,6 +11,7 @@ import ray._private.ray_constants as ray_constants import ray._private.utils from ray._private.ray_constants import DEBUG_AUTOSCALING_ERROR +from ray._common.network_utils import parse_address from ray._private.test_utils import ( get_error_message, get_log_batch, @@ -361,7 +362,8 @@ class A: def test_raylet_node_manager_server_failure(ray_start_cluster_head, log_pubsub): cluster = ray_start_cluster_head - redis_port = int(cluster.address.split(":")[1]) + _, redis_port = parse_address(cluster.address) + redis_port = int(redis_port) # Reuse redis port to make node manager grpc server fail to start. with pytest.raises(Exception): cluster.add_node(wait=False, node_manager_port=redis_port) diff --git a/python/ray/tests/test_failure_4.py b/python/ray/tests/test_failure_4.py index d569b8f8653e..0c820b623751 100644 --- a/python/ray/tests/test_failure_4.py +++ b/python/ray/tests/test_failure_4.py @@ -21,6 +21,7 @@ run_string_as_driver, kill_raylet, ) +from ray._common.network_utils import build_address from ray.cluster_utils import Cluster, cluster_not_supported from ray.core.generated import ( gcs_service_pb2, @@ -353,10 +354,10 @@ def f(): # Kill a raylet gracefully. def kill_raylet(ip, port, graceful=True): - raylet_address = f"{ip}:{port}" + raylet_address = build_address(ip, port) channel = grpc.insecure_channel(raylet_address) stub = node_manager_pb2_grpc.NodeManagerServiceStub(channel) - print(f"Sending a shutdown request to {ip}:{port}") + print(f"Sending a shutdown request to {build_address(ip, port)}") try: stub.ShutdownRaylet( node_manager_pb2.ShutdownRayletRequest(graceful=graceful) diff --git a/python/ray/tests/test_gcs_fault_tolerance.py b/python/ray/tests/test_gcs_fault_tolerance.py index 8569bb37b8b0..af14adf9a2d9 100644 --- a/python/ray/tests/test_gcs_fault_tolerance.py +++ b/python/ray/tests/test_gcs_fault_tolerance.py @@ -18,6 +18,7 @@ from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy import ray._private.gcs_utils as gcs_utils from ray._private import ray_constants +from ray._common.network_utils import parse_address from ray._private.test_utils import ( convert_actor_state, external_redis_test_enabled, @@ -662,7 +663,7 @@ def test_redis_failureover(redis_replicas, ray_start_cluster_head_with_external_ import redis redis_addr = os.environ.get("RAY_REDIS_ADDRESS") - ip, port = redis_addr.split(":") + ip, port = parse_address(redis_addr) redis_cli = redis.Redis(ip, port) def get_connected_nodes(): @@ -678,7 +679,7 @@ def get_connected_nodes(): leader_cli = None follower_cli = [] for addr in nodes: - ip, port = addr.split(":") + ip, port = parse_address(addr) cli = redis.Redis(ip, port) meta = nodes[addr] flags = meta["flags"].split(",") @@ -793,7 +794,7 @@ def test_redis_with_sentinel_failureover( import redis redis_addr = os.environ.get("RAY_REDIS_ADDRESS") - ip, port = redis_addr.split(":") + ip, port = parse_address(redis_addr) redis_cli = redis.Redis(ip, port) print(redis_cli.info("sentinel")) redis_name = redis_cli.info("sentinel")["master0"]["name"] @@ -973,7 +974,7 @@ def pid(self): redis_addr = os.environ.get("RAY_REDIS_ADDRESS") import redis - ip, port = redis_addr.split(":") + ip, port = parse_address(redis_addr) cli = redis.Redis(ip, port) cli.flushall() raylet_proc = ray._private.worker._global_node.all_processes[ diff --git a/python/ray/tests/test_gcs_utils.py b/python/ray/tests/test_gcs_utils.py index 4c4cf55d0555..6ada3e99c4ad 100644 --- a/python/ray/tests/test_gcs_utils.py +++ b/python/ray/tests/test_gcs_utils.py @@ -17,6 +17,7 @@ find_free_port, generate_system_config_map, ) +from ray._common.network_utils import parse_address import ray._private.ray_constants as ray_constants # Import asyncio timeout depends on python version @@ -301,7 +302,7 @@ def test_redis_cleanup(redis_replicas, shutdown_only): gcs_client.internal_kv_put(b"ABC", b"XYZ", True, None) ray.shutdown() redis_addr = os.environ["RAY_REDIS_ADDRESS"] - host, port = redis_addr.split(":") + host, port = parse_address(redis_addr) if os.environ.get("TEST_EXTERNAL_REDIS_REPLICAS", "1") != "1": cli = redis.RedisCluster(host, int(port)) else: diff --git a/python/ray/tests/test_metric_cardinality.py b/python/ray/tests/test_metric_cardinality.py index 0b53cee0a61a..426daaaa2181 100644 --- a/python/ray/tests/test_metric_cardinality.py +++ b/python/ray/tests/test_metric_cardinality.py @@ -11,6 +11,7 @@ fetch_prometheus_metrics, wait_for_assertion, ) +from ray._common.network_utils import build_address from ray._private.telemetry.metric_cardinality import ( WORKER_ID_TAG_KEY, TASK_OR_ACTOR_NAME_TAG_KEY, @@ -72,7 +73,9 @@ async def run(self): prom_addresses = [] for node_info in node_info_list: prom_addresses.append( - f"{node_info['NodeManagerAddress']}:{node_info['MetricsExportPort']}" + build_address( + node_info["NodeManagerAddress"], node_info["MetricsExportPort"] + ) ) yield prom_addresses diff --git a/python/ray/tests/test_metrics.py b/python/ray/tests/test_metrics.py index fa7a9bb6f9c9..ecc937fa9453 100644 --- a/python/ray/tests/test_metrics.py +++ b/python/ray/tests/test_metrics.py @@ -12,6 +12,7 @@ wait_until_succeeded_without_exception, get_node_stats, ) +from ray._common.network_utils import build_address from ray.core.generated import common_pb2 _WIN32 = os.name == "nt" @@ -330,7 +331,7 @@ def test_multi_node_metrics_export_port_discovery(ray_start_cluster): # Make sure we can ping Prometheus endpoints. def test_prometheus_endpoint(): response = requests.get( - "http://localhost:{}".format(metrics_export_port), + f"http://{build_address('localhost', metrics_export_port)}", # Fail the request early on if connection timeout timeout=1.0, ) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 95e232d05f01..ad7d717619d0 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -38,6 +38,7 @@ raw_metrics, find_free_port, ) +from ray._common.network_utils import build_address from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT from ray.dashboard.consts import DASHBOARD_METRIC_PORT from ray.util.metrics import Counter, Gauge, Histogram, Metric @@ -258,11 +259,11 @@ async def ping(self): for node_info in node_info_list: metrics_export_port = node_info["MetricsExportPort"] addr = node_info["NodeManagerAddress"] - prom_addresses.append(f"{addr}:{metrics_export_port}") - autoscaler_export_addr = "{}:{}".format( + prom_addresses.append(build_address(addr, metrics_export_port)) + autoscaler_export_addr = build_address( cluster.head_node.node_ip_address, AUTOSCALER_METRIC_PORT ) - dashboard_export_addr = "{}:{}".format( + dashboard_export_addr = build_address( cluster.head_node.node_ip_address, DASHBOARD_METRIC_PORT ) yield prom_addresses, autoscaler_export_addr, dashboard_export_addr @@ -420,7 +421,7 @@ def wrap_test_case_for_retry(): def test_metrics_export_node_metrics(shutdown_only): # Verify node metrics are available. addr = ray.init() - dashboard_export_addr = "{}:{}".format( + dashboard_export_addr = build_address( addr["raylet_ip_address"], DASHBOARD_METRIC_PORT ) @@ -494,7 +495,7 @@ def test_metrics_export_event_aggregator_agent( metrics_export_port = cluster.head_node.metrics_export_port addr = cluster.head_node.raylet_ip_address - prom_addresses = [f"{addr}:{metrics_export_port}"] + prom_addresses = [build_address(addr, metrics_export_port)] def test_case_stats_exist(): _, metric_descriptors, _ = fetch_prometheus(prom_addresses) @@ -949,14 +950,14 @@ def test_prometheus_file_based_service_discovery(ray_start_cluster): def get_metrics_export_address_from_node(nodes): node_export_addrs = [ - "{}:{}".format(node.node_ip_address, node.metrics_export_port) + build_address(node.node_ip_address, node.metrics_export_port) for node in nodes ] # monitor should be run on head node for `ray_start_cluster` fixture - autoscaler_export_addr = "{}:{}".format( + autoscaler_export_addr = build_address( cluster.head_node.node_ip_address, AUTOSCALER_METRIC_PORT ) - dashboard_export_addr = "{}:{}".format( + dashboard_export_addr = build_address( cluster.head_node.node_ip_address, DASHBOARD_METRIC_PORT ) return node_export_addrs + [autoscaler_export_addr, dashboard_export_addr] diff --git a/python/ray/tests/test_placement_group_5.py b/python/ray/tests/test_placement_group_5.py index a4e44b743e50..8440cee1ef37 100644 --- a/python/ray/tests/test_placement_group_5.py +++ b/python/ray/tests/test_placement_group_5.py @@ -15,6 +15,7 @@ from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray._private.runtime_env.plugin import RuntimeEnvPlugin from ray._private.test_utils import fetch_prometheus_metrics +from ray._common.network_utils import build_address import ray.scripts.scripts as scripts @@ -516,7 +517,10 @@ def test_remove_placement_group_with_pending_worker_lease_waiting_for_pg_resourc is removed successfully. """ context = ray.init(num_cpus=1) - prom_address = f"{context.address_info['node_ip_address']}:{context.address_info['metrics_export_port']}" + prom_address = build_address( + context.address_info["node_ip_address"], + context.address_info["metrics_export_port"], + ) pg = ray.util.placement_group( [{"CPU": 1}], diff --git a/python/ray/tests/test_plasma_unlimited.py b/python/ray/tests/test_plasma_unlimited.py index e8fa5c8b26da..934f2e6eaf42 100644 --- a/python/ray/tests/test_plasma_unlimited.py +++ b/python/ray/tests/test_plasma_unlimited.py @@ -15,6 +15,7 @@ check_spilled_mb, fetch_prometheus, ) +from ray._common.network_utils import build_address MB = 1024 * 1024 @@ -321,7 +322,7 @@ def test_object_store_memory_metrics_reported_correctly(shutdown_only): ) metrics_export_port = address["metrics_export_port"] addr = address["node_ip_address"] - prom_addr = f"{addr}:{metrics_export_port}" + prom_addr = build_address(addr, metrics_export_port) x1 = ray.put(np.zeros(400 * MB, dtype=np.uint8)) # x1 will be spilled. diff --git a/python/ray/tests/test_ray_debugger.py b/python/ray/tests/test_ray_debugger.py index 1d24bb79824b..6cf1f164e71d 100644 --- a/python/ray/tests/test_ray_debugger.py +++ b/python/ray/tests/test_ray_debugger.py @@ -13,6 +13,7 @@ import ray from ray._common.test_utils import wait_for_condition from ray._private import ray_constants, services +from ray._common.network_utils import parse_address from ray._private.test_utils import run_string_as_driver from ray.cluster_utils import Cluster, cluster_not_supported @@ -56,7 +57,7 @@ def f(): active_sessions[0], namespace=ray_constants.KV_NAMESPACE_PDB ) ) - host, port = session["pdb_address"].split(":") + host, port = parse_address(session["pdb_address"]) assert host == "localhost" # Should be private by default. tn = Telnet(host, int(port)) @@ -283,7 +284,7 @@ def f(): ) ) - host, port = session["pdb_address"].split(":") + host, port = parse_address(session["pdb_address"]) if ray_debugger_external: assert host == services.get_node_ip_address(), host else: @@ -348,13 +349,13 @@ def f(): ) ) - host1, port1 = session1["pdb_address"].split(":") + host1, port1 = parse_address(session1["pdb_address"]) if ray_debugger_external: assert host1 == services.get_node_ip_address(), host1 else: assert host1 == "localhost", host1 - host2, port2 = session2["pdb_address"].split(":") + host2, port2 = parse_address(session2["pdb_address"]) if ray_debugger_external: assert host2 == services.get_node_ip_address(), host2 else: diff --git a/python/ray/tests/test_ray_init.py b/python/ray/tests/test_ray_init.py index 631dc7c53b0e..1d6330bedc03 100644 --- a/python/ray/tests/test_ray_init.py +++ b/python/ray/tests/test_ray_init.py @@ -7,6 +7,7 @@ import subprocess import tempfile from pathlib import Path +from ray._common.network_utils import parse_address, build_address import grpc import pytest @@ -38,7 +39,7 @@ def test_ray_address(input, call_ray_start): assert res.address_info["gcs_address"] == address ray.shutdown() - addr = "localhost:{}".format(address.split(":")[-1]) + addr = f"localhost:{parse_address(address)[-1]}" with unittest.mock.patch.dict(os.environ, {"RAY_ADDRESS": addr}): res = ray.init(input) # Ensure this is not a client.connect() @@ -194,7 +195,7 @@ def test_auto_init_non_client(call_ray_start): assert not isinstance(res, ClientObjectRef) ray.shutdown() - addr = "localhost:{}".format(address.split(":")[-1]) + addr = f"localhost:{parse_address(address)[-1]}" with unittest.mock.patch.dict(os.environ, {"RAY_ADDRESS": addr}): res = ray.put(300) # Ensure this is not a client.connect() @@ -210,9 +211,10 @@ def test_auto_init_non_client(call_ray_start): "function", [lambda: ray.put(300), lambda: ray.remote(ray.nodes).remote()] ) def test_auto_init_client(call_ray_start, function): - address = call_ray_start.split(":")[0] + address = parse_address(call_ray_start)[0] + with unittest.mock.patch.dict( - os.environ, {"RAY_ADDRESS": f"ray://{address}:25036"} + os.environ, {"RAY_ADDRESS": f"ray://{build_address(address, 25036)}"} ): res = function() # Ensure this is a client connection. diff --git a/python/ray/tests/test_ray_init_2.py b/python/ray/tests/test_ray_init_2.py index 279041ccb658..04bc16cdfd16 100644 --- a/python/ray/tests/test_ray_init_2.py +++ b/python/ray/tests/test_ray_init_2.py @@ -13,6 +13,7 @@ from ray._private.ray_constants import RAY_OVERRIDE_DASHBOARD_URL, DEFAULT_RESOURCES import ray._private.services from ray._private.services import get_node_ip_address +from ray._common.network_utils import parse_address from ray.dashboard.utils import ray_address_to_api_server_url from ray._private.test_utils import ( get_current_unused_port, @@ -301,7 +302,7 @@ def test_ray_init_from_workers(ray_start_cluster): node2 = cluster.add_node(node_ip_address="127.0.0.3") address = cluster.address password = cluster.redis_password - assert address.split(":")[0] == "127.0.0.2" + assert parse_address(address)[0] == "127.0.0.2" assert node1.node_manager_port != node2.node_manager_port info = ray.init(address, _redis_password=password, _node_ip_address="127.0.0.3") assert info["node_ip_address"] == "127.0.0.3" diff --git a/python/ray/tests/test_resource_metrics.py b/python/ray/tests/test_resource_metrics.py index 33a654f63949..8e5a003cc176 100644 --- a/python/ray/tests/test_resource_metrics.py +++ b/python/ray/tests/test_resource_metrics.py @@ -10,6 +10,7 @@ fetch_prometheus_metrics, run_string_as_driver_nonblocking, ) +from ray._common.network_utils import build_address METRIC_CONFIG = { @@ -20,7 +21,7 @@ def raw_metrics(info): - metrics_page = "localhost:{}".format(info["metrics_export_port"]) + metrics_page = build_address("localhost", info["metrics_export_port"]) print("Fetch metrics from", metrics_page) res = fetch_prometheus_metrics([metrics_page]) return res diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 77c7b9a72897..9d9396ac0552 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -27,6 +27,7 @@ import ray._private.state as global_state import ray._private.ray_constants as ray_constants from ray._raylet import GcsClient, ActorID, JobID, TaskID +from ray._common.network_utils import parse_address from ray._private.test_utils import ( run_string_as_driver, find_free_port, @@ -371,7 +372,7 @@ def test_ray_address_to_api_server_url(shutdown_only): # explicit head node gcs address assert api_server_url == ray_address_to_api_server_url(gcs_address) # localhost string - gcs_port = gcs_address.split(":")[1] + _, gcs_port = parse_address(gcs_address) assert api_server_url == ray_address_to_api_server_url(f"localhost:{gcs_port}") diff --git a/python/ray/train/lightgbm/config.py b/python/ray/train/lightgbm/config.py index c57f4b6d17c7..5a04a9128a80 100644 --- a/python/ray/train/lightgbm/config.py +++ b/python/ray/train/lightgbm/config.py @@ -4,6 +4,7 @@ from typing import Any, Dict, Optional import ray +from ray._common.network_utils import build_address from ray.train._internal.utils import get_address_and_port from ray.train._internal.worker_group import WorkerGroup from ray.train.backend import Backend, BackendConfig @@ -76,7 +77,7 @@ def on_training_start( node_ips_and_ports = worker_group.execute(get_address_and_port) ports = [port for _, port in node_ips_and_ports] machines = ",".join( - [f"{node_ip}:{port}" for node_ip, port in node_ips_and_ports] + [build_address(node_ip, port) for node_ip, port in node_ips_and_ports] ) num_machines = len(worker_group) ray.get( diff --git a/python/ray/train/tensorflow/config.py b/python/ray/train/tensorflow/config.py index ae3baedb2a6f..059e5a1dc419 100644 --- a/python/ray/train/tensorflow/config.py +++ b/python/ray/train/tensorflow/config.py @@ -5,6 +5,7 @@ from typing import List import ray +from ray._common.network_utils import build_address from ray.train._internal.utils import get_address_and_port from ray.train._internal.worker_group import WorkerGroup from ray.train.backend import Backend, BackendConfig @@ -42,7 +43,7 @@ def on_start(self, worker_group: WorkerGroup, backend_config: TensorflowConfig): # Compute URL for initializing distributed setup. def get_url(): address, port = get_address_and_port() - return f"{address}:{port}" + return build_address(address, port) urls = worker_group.execute(get_url) diff --git a/python/ray/train/torch/config.py b/python/ray/train/torch/config.py index a0ecc61e3b87..9acc0774d5a5 100644 --- a/python/ray/train/torch/config.py +++ b/python/ray/train/torch/config.py @@ -9,6 +9,7 @@ from packaging.version import Version import ray +from ray._common.network_utils import build_address from ray.air._internal.device_manager import register_custom_torch_dist_backend from ray.train._internal.utils import get_address_and_port from ray.train._internal.worker_group import WorkerGroup @@ -176,7 +177,7 @@ def set_env_vars(addr, port): worker_group.execute(set_env_vars, addr=master_addr, port=master_port) url = "env://" elif backend_config.init_method == "tcp": - url = f"tcp://{master_addr}:{master_port}" + url = f"tcp://{build_address(master_addr, master_port)}" else: raise ValueError( f"The provided init_method (" diff --git a/python/ray/util/client/server/proxier.py b/python/ray/util/client/server/proxier.py index 68af8956e662..a952cffa8f58 100644 --- a/python/ray/util/client/server/proxier.py +++ b/python/ray/util/client/server/proxier.py @@ -28,6 +28,7 @@ from ray._private.services import ProcessInfo, start_ray_client_server from ray._private.tls_utils import add_port_to_grpc_server from ray._private.utils import detect_fate_sharing_support +from ray._common.network_utils import build_address from ray.cloudpickle.compat import pickle from ray.job_config import JobConfig from ray.util.client.common import ( @@ -201,7 +202,7 @@ def create_specific_server(self, client_id: str) -> SpecificServer: port=port, process_handle_future=futures.Future(), channel=ray._private.utils.init_grpc_channel( - f"127.0.0.1:{port}", options=GRPC_OPTIONS + build_address("127.0.0.1", port), options=GRPC_OPTIONS ), ) self.servers[client_id] = server diff --git a/python/ray/util/client/server/server.py b/python/ray/util/client/server/server.py index bba5a5e18e48..768ae2c2118a 100644 --- a/python/ray/util/client/server/server.py +++ b/python/ray/util/client/server/server.py @@ -27,6 +27,7 @@ from ray._private.ray_logging import setup_logger from ray._private.services import canonicalize_bootstrap_address_or_die from ray._private.tls_utils import add_port_to_grpc_server +from ray._common.network_utils import build_address from ray.job_config import JobConfig from ray.util.client.common import ( CLIENT_SERVER_MAX_THREADS, @@ -893,7 +894,7 @@ def main(): args.address, args.redis_password, args.redis_username ) - hostport = "%s:%d" % (args.host, args.port) + hostport = build_address(args.host, args.port) args_str = str(args) if args.redis_password: args_str = args_str.replace(args.redis_password, "****") diff --git a/python/ray/util/collective/collective_group/gloo_collective_group.py b/python/ray/util/collective/collective_group/gloo_collective_group.py index a39d7e4a5794..6782a8e38f72 100644 --- a/python/ray/util/collective/collective_group/gloo_collective_group.py +++ b/python/ray/util/collective/collective_group/gloo_collective_group.py @@ -12,6 +12,7 @@ from ray.util.collective.collective_group import gloo_util from ray.util.collective.collective_group.base_collective_group import BaseGroup from ray.util.collective.const import get_store_name +from ray._common.network_utils import parse_address from ray.util.collective.types import ( AllGatherOptions, AllReduceOptions, @@ -45,7 +46,7 @@ def __init__(self, group_name, context, store_type, device_type): self._context = context redis_address = ray._private.worker._global_node.redis_address (self._redis_ip_address, self._redis_port) = ( - redis_address.split(":") if store_type == "redis" else (None, None) + parse_address(redis_address) if store_type == "redis" else (None, None) ) self._process_ip_address = ray.util.get_node_ip_address() logger.debug( diff --git a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py index e073d8b5841b..5ec743c673f6 100644 --- a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py +++ b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py @@ -5,6 +5,7 @@ import ray.experimental.internal_kv as internal_kv from ray.util.collective.collective_group.base_collective_group import BaseGroup +from ray._common.network_utils import parse_address from ray.util.collective.types import ( AllReduceOptions, BarrierOptions, @@ -52,7 +53,7 @@ def __init__( ) metadata = metadata.decode() - master_addr, master_port = metadata.split(":") + master_addr, master_port = parse_address(metadata) os.environ["MASTER_ADDR"] = master_addr os.environ["MASTER_PORT"] = master_port diff --git a/python/ray/util/debugpy.py b/python/ray/util/debugpy.py index 32b265d1d451..3513f2100fc2 100644 --- a/python/ray/util/debugpy.py +++ b/python/ray/util/debugpy.py @@ -5,6 +5,7 @@ import importlib import ray +from ray._common.network_utils import build_address from ray.util.annotations import DeveloperAPI log = logging.getLogger(__name__) @@ -63,7 +64,7 @@ def _ensure_debugger_port_open_thread_safe(): (ray._private.worker.global_worker.node_ip_address, 0) ) ray._private.worker.global_worker.set_debugger_port(port) - log.info(f"Ray debugger is listening on {host}:{port}") + log.info(f"Ray debugger is listening on {build_address(host, port)}") else: log.info(f"Ray debugger is already open on {debugger_port}") diff --git a/python/ray/util/rpdb.py b/python/ray/util/rpdb.py index 20ac1680856c..ae102c96120b 100644 --- a/python/ray/util/rpdb.py +++ b/python/ray/util/rpdb.py @@ -3,6 +3,7 @@ # (BSD 2-Clause "Simplified" License) import errno +from ray._common.network_utils import build_address import inspect import json import logging @@ -110,9 +111,9 @@ def __init__( def listen(self): if not self._quiet: _cry( - "RemotePdb session open at %s:%s, " + "RemotePdb session open at %s, " "use 'ray debug' to connect..." - % (self._ip_address, self._listen_socket.getsockname()[1]) + % build_address(self._ip_address, self._listen_socket.getsockname()[1]) ) self._listen_socket.listen(1) connection, address = self._listen_socket.accept() diff --git a/python/ray/util/spark/cluster_init.py b/python/ray/util/spark/cluster_init.py index 1123c0112501..27649f278a29 100644 --- a/python/ray/util/spark/cluster_init.py +++ b/python/ray/util/spark/cluster_init.py @@ -20,6 +20,7 @@ from ray.autoscaler._private.spark.node_provider import HEAD_NODE_ID from ray.util.annotations import DeveloperAPI, PublicAPI from ray._common.utils import load_class +from ray._common.network_utils import build_address, parse_address from .utils import ( exec_cmd, @@ -130,7 +131,7 @@ def wait_until_ready(self): ray.init(address=self.address) if self.ray_dashboard_port is not None and _wait_service_up( - self.address.split(":")[0], + parse_address(self.address)[0], self.ray_dashboard_port, _RAY_DASHBOARD_STARTUP_TIMEOUT, ): @@ -189,7 +190,7 @@ def wait_until_ready(self): ) = self.spark_job_server.server_address[:2] response = requests.post( url=( - f"http://{job_server_host}:{job_server_port}" + f"http://{build_address(job_server_host, job_server_port)}" "/query_last_worker_err" ), json={"spark_job_group_id": None}, @@ -691,7 +692,7 @@ def _setup_ray_cluster( _logger.info("Ray head node started.") - cluster_address = f"{ray_head_ip}:{ray_head_port}" + cluster_address = build_address(ray_head_ip, ray_head_port) # Set RAY_ADDRESS environment variable to the cluster address. os.environ["RAY_ADDRESS"] = cluster_address @@ -1206,8 +1207,10 @@ def _get_spark_worker_resources(_): pass raise RuntimeError("Launch Ray-on-Spark cluster failed") from e - head_ip = cluster.address.split(":")[0] - remote_connection_address = f"ray://{head_ip}:{cluster.ray_client_server_port}" + head_ip = parse_address(cluster.address)[0] + remote_connection_address = ( + f"ray://{build_address(head_ip, cluster.ray_client_server_port)}" + ) return cluster.address, remote_connection_address @@ -1527,7 +1530,7 @@ def ray_cluster_job_mapper(_): "ray.util.spark.start_ray_node", f"--num-cpus={num_cpus_per_node}", "--block", - f"--address={ray_head_ip}:{ray_head_port}", + f"--address={build_address(ray_head_ip, ray_head_port)}", f"--memory={heap_memory_per_node}", f"--object-store-memory={object_store_memory_per_node}", f"--min-worker-port={worker_port_range_begin}", @@ -1576,7 +1579,7 @@ def ray_cluster_job_mapper(_): # Check node id availability response = requests.post( url=( - f"http://{ray_head_ip}:{spark_job_server_port}" + f"http://{build_address(ray_head_ip, spark_job_server_port)}" "/check_node_id_availability" ), json={ @@ -1603,7 +1606,7 @@ def ray_cluster_job_mapper(_): # Notify job server the task has been launched. requests.post( url=( - f"http://{ray_head_ip}:{spark_job_server_port}" + f"http://{build_address(ray_head_ip, spark_job_server_port)}" "/notify_task_launched" ), json={ diff --git a/python/ray/util/state/state_cli.py b/python/ray/util/state/state_cli.py index 8c476458e473..b76544d8d316 100644 --- a/python/ray/util/state/state_cli.py +++ b/python/ray/util/state/state_cli.py @@ -9,6 +9,7 @@ import ray._private.services as services from ray._private.thirdparty.tabulate.tabulate import tabulate +from ray._common.network_utils import parse_address from ray.util.state import ( StateApiClient, get_log, @@ -807,7 +808,7 @@ def _get_head_node_ip(address: Optional[str] = None): """ try: address = services.canonicalize_bootstrap_address_or_die(address) - return address.split(":")[0] + return parse_address(address)[0] except (ConnectionError, ValueError) as e: # Hide all the stack trace raise click.UsageError(str(e)) diff --git a/python/ray/util/state/state_manager.py b/python/ray/util/state/state_manager.py index e012c6c283db..16c570865007 100644 --- a/python/ray/util/state/state_manager.py +++ b/python/ray/util/state/state_manager.py @@ -54,6 +54,7 @@ SupportedFilterType, ) from ray.util.state.exception import DataSourceUnavailable +from ray._common.network_utils import build_address logger = logging.getLogger(__name__) @@ -146,7 +147,7 @@ def register_gcs_client(self, gcs_channel: grpc.aio.Channel): def get_raylet_stub(self, ip: str, port: int): options = _STATE_MANAGER_GRPC_OPTIONS channel = ray._private.utils.init_grpc_channel( - f"{ip}:{port}", options, asynchronous=True + build_address(ip, port), options, asynchronous=True ) return NodeManagerServiceStub(channel) @@ -162,7 +163,7 @@ async def get_log_service_stub(self, node_id: NodeID) -> LogServiceStub: ip, http_port, grpc_port = json.loads(agent_addr) options = ray_constants.GLOBAL_GRPC_OPTIONS channel = ray._private.utils.init_grpc_channel( - f"{ip}:{grpc_port}", options=options, asynchronous=True + build_address(ip, grpc_port), options=options, asynchronous=True ) return LogServiceStub(channel) @@ -429,7 +430,7 @@ async def get_runtime_envs_info( f"Expected non empty node ip and runtime env agent port, got {node_ip} and {runtime_env_agent_port}." ) timeout = aiohttp.ClientTimeout(total=timeout) - url = f"http://{node_ip}:{runtime_env_agent_port}/get_runtime_envs_info" + url = f"http://{build_address(node_ip, runtime_env_agent_port)}/get_runtime_envs_info" request = GetRuntimeEnvsInfoRequest(limit=limit) data = request.SerializeToString() async with self._client_session.post(url, data=data, timeout=timeout) as resp: diff --git a/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py b/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py index 5f2c8f69881c..d0843109043d 100644 --- a/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py +++ b/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py @@ -8,6 +8,8 @@ import tensorflow as tf from typing import List, Tuple +from ray._common.network_utils import build_address + CONFIG = {"lr": 1e-3, "batch_size": 64} VANILLA_RESULT_JSON = "/tmp/vanilla_out.json" @@ -185,7 +187,7 @@ def train_tf_vanilla( run_fn_on_actors(actors=actors, fn=lambda: os.environ.pop("OMP_NUM_THREADS", None)) ips_ports = get_ip_port_actors(actors=actors) - ip_port_list = [f"{ip}:{port}" for ip, port in ips_ports] + ip_port_list = [build_address(ip, port) for ip, port in ips_ports] ip_port_str = ",".join(ip_port_list) cmds = [ diff --git a/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py b/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py index cf0dcddac7c6..98323ed95c45 100644 --- a/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py +++ b/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py @@ -11,6 +11,7 @@ from collections import defaultdict from ray.util.state import list_nodes from ray._private.test_utils import fetch_prometheus_metrics +from ray._common.network_utils import build_address from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy from pydantic import BaseModel from ray.dashboard.consts import DASHBOARD_METRIC_PORT @@ -124,7 +125,7 @@ def get_result(self): return Result(success=False) # Get the memory usage. - dashboard_export_addr = "{}:{}".format( + dashboard_export_addr = build_address( self.addr["raylet_ip_address"], DASHBOARD_METRIC_PORT ) metrics = fetch_prometheus_metrics([dashboard_export_addr]) diff --git a/release/serve_tests/workloads/serve_test_cluster_utils.py b/release/serve_tests/workloads/serve_test_cluster_utils.py index 6e6eab099f65..984989ffe5d0 100644 --- a/release/serve_tests/workloads/serve_test_cluster_utils.py +++ b/release/serve_tests/workloads/serve_test_cluster_utils.py @@ -5,6 +5,7 @@ import requests from ray._private.test_utils import monitor_memory_usage from ray.cluster_utils import Cluster +from ray._common.network_utils import build_address from ray import serve from ray.serve.config import DeploymentMode @@ -79,7 +80,8 @@ def warm_up_one_cluster( for _ in range(num_warmup_iterations): try: resp = requests.get( - f"http://{http_host}:{http_port}/{endpoint}", timeout=timeout + f"http://{build_address(http_host, http_port)}/{endpoint}", + timeout=timeout, ).text logger.info(resp) except requests.exceptions.ReadTimeout: diff --git a/release/serve_tests/workloads/serve_test_utils.py b/release/serve_tests/workloads/serve_test_utils.py index bbbe5f74a391..950602cd6fff 100644 --- a/release/serve_tests/workloads/serve_test_utils.py +++ b/release/serve_tests/workloads/serve_test_utils.py @@ -13,6 +13,7 @@ from serve_test_cluster_utils import NUM_CPU_PER_NODE from subprocess import PIPE from typing import Dict, List, Optional, Union +from ray._common.network_utils import build_address logger = logging.getLogger(__file__) @@ -220,7 +221,7 @@ def run_one_wrk_trial( "-d", trial_length, "--latency", - f"http://{http_host}:{http_port}/{endpoint}", + f"http://{build_address(http_host, http_port)}/{endpoint}", ], stdout=PIPE, stderr=PIPE, diff --git a/rllib/env/policy_server_input.py b/rllib/env/policy_server_input.py index eedbe224e631..70bc2d130757 100644 --- a/rllib/env/policy_server_input.py +++ b/rllib/env/policy_server_input.py @@ -20,6 +20,7 @@ from ray.rllib.evaluation.metrics import RolloutMetrics from ray.rllib.evaluation.sampler import SamplerInput from ray.rllib.utils.typing import SampleBatchType +from ray._common.network_utils import build_address logger = logging.getLogger(__name__) @@ -175,14 +176,15 @@ def get_metrics(self) -> List[RolloutMetrics]: time.sleep(1) HTTPServer.__init__(self, (address, port), handler) except OSError: - print(f"Creating a PolicyServer on {address}:{port} failed!") + print(f"Creating a PolicyServer on {build_address(address, port)} failed!") import time time.sleep(1) raise logger.info( - "Starting connector server at " f"{self.server_name}:{self.server_port}" + "Starting connector server at " + f"{build_address(self.server_name, self.server_port)}" ) # Start the serving thread, listening on socket and handling commands. diff --git a/rllib/examples/envs/external_envs/cartpole_client.py b/rllib/examples/envs/external_envs/cartpole_client.py index 289f35f1d804..d1ed0345f0a5 100755 --- a/rllib/examples/envs/external_envs/cartpole_client.py +++ b/rllib/examples/envs/external_envs/cartpole_client.py @@ -44,6 +44,7 @@ import gymnasium as gym from ray.rllib.env.policy_client import PolicyClient +from ray._common.network_utils import build_address parser = argparse.ArgumentParser() parser.add_argument( @@ -84,7 +85,8 @@ # Note that no config is needed in this script as it will be defined # on and sent from the server. client = PolicyClient( - f"http://localhost:{args.port}", inference_mode=args.inference_mode + f"http://{build_address('localhost', args.port)}", + inference_mode=args.inference_mode, ) # In the following, we will use our external environment (the CartPole diff --git a/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py b/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py index a9c8916a0434..8f201d5e01c0 100644 --- a/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py +++ b/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py @@ -18,6 +18,7 @@ import ray from ray.rllib.env.policy_client import PolicyClient +from ray._common.network_utils import build_address parser = argparse.ArgumentParser() parser.add_argument( @@ -47,7 +48,8 @@ # of local inference) will contain only a RandomEnv dummy env to step through. # The actual env we care about is the above generated CartPole one. client = PolicyClient( - f"http://localhost:{args.port}", inference_mode=args.inference_mode + f"http://{build_address('localhost', args.port)}", + inference_mode=args.inference_mode, ) # Get a dummy obs diff --git a/rllib/examples/envs/external_envs/unity3d_client.py b/rllib/examples/envs/external_envs/unity3d_client.py index 2f7d10dbe76c..4160836d8f2c 100644 --- a/rllib/examples/envs/external_envs/unity3d_client.py +++ b/rllib/examples/envs/external_envs/unity3d_client.py @@ -34,6 +34,7 @@ from ray.rllib.env.policy_client import PolicyClient from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv +from ray._common.network_utils import build_address SERVER_ADDRESS = "localhost" SERVER_PORT = 9900 @@ -96,7 +97,7 @@ # Start the client for sending environment information (e.g. observations, # actions) to a policy server (listening on port 9900). client = PolicyClient( - "http://" + args.server + ":" + str(args.port), + f"http://{build_address(args.server, args.port)}", inference_mode=args.inference_mode, update_interval=args.update_interval_local_mode, ) diff --git a/rllib/examples/envs/external_envs/unity3d_dummy_client.py b/rllib/examples/envs/external_envs/unity3d_dummy_client.py index 197806e437cb..58b723c61349 100644 --- a/rllib/examples/envs/external_envs/unity3d_dummy_client.py +++ b/rllib/examples/envs/external_envs/unity3d_dummy_client.py @@ -21,6 +21,7 @@ from ray.rllib.env.policy_client import PolicyClient from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv from ray.rllib.examples.envs.classes.random_env import RandomMultiAgentEnv +from ray._common.network_utils import build_address SERVER_ADDRESS = "localhost" SERVER_PORT = 9900 @@ -95,7 +96,7 @@ # Start the client for sending environment information (e.g. observations, # actions) to a policy server (listening on port 9900). client = PolicyClient( - "http://" + args.server + ":" + str(args.port), + f"http://{build_address(args.server, args.port)}", inference_mode=args.inference_mode, update_interval=args.update_interval_local_mode, ) diff --git a/rllib/examples/ray_serve/ray_serve_with_rllib.py b/rllib/examples/ray_serve/ray_serve_with_rllib.py index 6ac37465d3a6..2d46105a93d8 100644 --- a/rllib/examples/ray_serve/ray_serve_with_rllib.py +++ b/rllib/examples/ray_serve/ray_serve_with_rllib.py @@ -90,6 +90,7 @@ add_rllib_example_script_args, run_rllib_example_script_experiment, ) +from ray._common.network_utils import build_address parser = add_rllib_example_script_args() parser.set_defaults( @@ -166,7 +167,7 @@ def kill_proc(proc): # print(f"-> Requesting action for obs={obs} ...", end="") # Send a request to serve. resp = requests.get( - f"http://localhost:{args.port}/rllib-rlmodule", + f"http://{build_address('localhost', args.port)}/rllib-rlmodule", json={"observation": obs.tolist()}, ) response = resp.json() From 246cd342352c1a87c3259f44cb0a73ea50817e85 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 8 Aug 2025 14:26:01 -0700 Subject: [PATCH 0580/1566] [Core] Only fetch alive nodes for usage stats report (#55391) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_common/tests/test_usage_stats.py | 10 ++++--- python/ray/_common/usage/usage_lib.py | 14 +++++----- python/ray/includes/common.pxd | 13 ++++++++-- python/ray/includes/gcs_client.pxi | 26 ++++++++++++++----- src/ray/gcs/gcs_client/accessor.cc | 25 +++++++----------- src/ray/gcs/gcs_client/accessor.h | 14 ++++------ .../gcs/gcs_client/global_state_accessor.cc | 8 +++--- 7 files changed, 61 insertions(+), 49 deletions(-) diff --git a/python/ray/_common/tests/test_usage_stats.py b/python/ray/_common/tests/test_usage_stats.py index d143a76c6d44..fc871a2e9638 100644 --- a/python/ray/_common/tests/test_usage_stats.py +++ b/python/ray/_common/tests/test_usage_stats.py @@ -876,13 +876,15 @@ def test_usage_lib_get_total_num_running_jobs_to_report( ray.shutdown() -def test_usage_lib_get_total_num_nodes_to_report(ray_start_cluster, reset_usage_stats): +def test_usage_lib_get_total_num_alive_nodes_to_report( + ray_start_cluster, reset_usage_stats +): cluster = ray_start_cluster cluster.add_node(num_cpus=1) ray.init(address=cluster.address) worker_node = cluster.add_node(num_cpus=2) assert ( - ray_usage_lib.get_total_num_nodes_to_report( + ray_usage_lib.get_total_num_alive_nodes_to_report( ray.experimental.internal_kv.internal_kv_get_gcs_client() ) == 2 @@ -890,7 +892,7 @@ def test_usage_lib_get_total_num_nodes_to_report(ray_start_cluster, reset_usage_ cluster.remove_node(worker_node) # Make sure only alive nodes are counted assert ( - ray_usage_lib.get_total_num_nodes_to_report( + ray_usage_lib.get_total_num_alive_nodes_to_report( ray.experimental.internal_kv.internal_kv_get_gcs_client() ) == 1 @@ -1460,7 +1462,7 @@ def test_usage_stats_gcs_query_failure( ray.init(address=cluster.address) assert ( - ray_usage_lib.get_total_num_nodes_to_report( + ray_usage_lib.get_total_num_alive_nodes_to_report( ray.experimental.internal_kv.internal_kv_get_gcs_client(), timeout=1 ) is None diff --git a/python/ray/_common/usage/usage_lib.py b/python/ray/_common/usage/usage_lib.py index d9d03ad85c95..c2e7f2345f33 100644 --- a/python/ray/_common/usage/usage_lib.py +++ b/python/ray/_common/usage/usage_lib.py @@ -561,15 +561,13 @@ def get_total_num_running_jobs_to_report(gcs_client) -> Optional[int]: return None -def get_total_num_nodes_to_report(gcs_client, timeout=None) -> Optional[int]: +def get_total_num_alive_nodes_to_report(gcs_client, timeout=None) -> Optional[int]: """Return the total number of alive nodes in the cluster""" try: - result = gcs_client.get_all_node_info(timeout=timeout) - total_num_nodes = 0 - for node_id, node_info in result.items(): - if node_info.state == gcs_pb2.GcsNodeInfo.GcsNodeState.ALIVE: - total_num_nodes += 1 - return total_num_nodes + result = gcs_client.get_all_node_info( + timeout=timeout, state_filter=gcs_pb2.GcsNodeInfo.GcsNodeState.ALIVE + ) + return len(result.items()) except Exception as e: logger.info(f"Failed to query number of nodes in the cluster: {e}") return None @@ -940,7 +938,7 @@ def generate_report_data( total_object_store_memory_gb=cluster_status_to_report.total_object_store_memory_gb, # noqa: E501 library_usages=get_library_usages_to_report(gcs_client), extra_usage_tags=get_extra_usage_tags_to_report(gcs_client), - total_num_nodes=get_total_num_nodes_to_report(gcs_client), + total_num_nodes=get_total_num_alive_nodes_to_report(gcs_client), total_num_running_jobs=get_total_num_running_jobs_to_report(gcs_client), libc_version=cluster_metadata.get("libc_version"), hardware_usages=get_hardware_usages_to_report(gcs_client), diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index c393e6c783fe..f9a6314dea1d 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -145,6 +145,11 @@ cdef extern from "ray/common/status.h" namespace "ray" nogil: cdef CRayStatus RayStatus_Invalid "Status::Invalid"() cdef CRayStatus RayStatus_NotImplemented "Status::NotImplemented"() +cdef extern from "ray/common/status_or.h" namespace "ray" nogil: + cdef cppclass CStatusOr "ray::StatusOr"[T]: + c_bool ok() + const CRayStatus &status() const + T &value() cdef extern from "ray/common/id.h" namespace "ray" nogil: const CTaskID GenerateTaskId(const CJobID &job_id, @@ -446,9 +451,10 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: int64_t timeout_ms, c_vector[c_string] &drained_node_ids) - CRayStatus GetAllNoCache( + CStatusOr[c_vector[CGcsNodeInfo]] GetAllNoCache( int64_t timeout_ms, - c_vector[CGcsNodeInfo] &result) + optional[CGcsNodeState] state_filter, + optional[CNodeSelector] node_selector) void AsyncGetAll( const MultiItemPyCallback[CGcsNodeInfo] &callback, @@ -701,6 +707,9 @@ cdef extern from "src/ray/protobuf/gcs.pb.h" nogil: cdef enum CGcsNodeState "ray::rpc::GcsNodeInfo_GcsNodeState": ALIVE "ray::rpc::GcsNodeInfo_GcsNodeState_ALIVE", + cdef cppclass CNodeSelector "ray::rpc::GetAllNodeInfoRequest::NodeSelector": + pass + cdef cppclass CJobTableData "ray::rpc::JobTableData": c_string job_id() const c_bool is_dead() const diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 77f1265d85e2..63fd99cf8c3c 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -27,6 +27,10 @@ from ray.includes.common cimport ( OptionalItemPyCallback, StatusPyCallback, CGetClusterStatusReply, + CStatusOr, + CGcsNodeState, + CNodeSelector, + CGcsNodeInfo, ) from ray.includes.optional cimport optional, make_optional from ray.core.generated import gcs_pb2, autoscaler_pb2 @@ -321,13 +325,23 @@ cdef class InnerGcsClient: return raise_or_return(convert_multi_str(status, move(results))) def get_all_node_info( - self, timeout: Optional[int | float] = None + self, timeout: Optional[int | float] = None, + state_filter: Optional[int] = None, ) -> Dict[NodeID, gcs_pb2.GcsNodeInfo]: - cdef int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - cdef c_vector[CGcsNodeInfo] reply - cdef CRayStatus status - with nogil: - status = self.inner.get().Nodes().GetAllNoCache(timeout_ms, reply) + cdef: + int64_t timeout_ms = round(1000 * timeout) if timeout else -1 + c_vector[CGcsNodeInfo] reply + CRayStatus status + optional[CStatusOr[c_vector[CGcsNodeInfo]]] status_or + optional[CGcsNodeState] c_state_filter = nullopt + optional[CNodeSelector] c_node_selector = nullopt + if state_filter is not None: + c_state_filter.emplace(state_filter) + with nogil: + status_or = self.inner.get().Nodes().GetAllNoCache(timeout_ms, c_state_filter, c_node_selector) + status = status_or.value().status() + if status_or.value().ok(): + reply = move(status_or.value().value()) return raise_or_return(convert_get_all_node_info(status, move(reply))) def async_get_all_node_info( diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 726d932a9a7a..72440b02d387 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -671,24 +671,17 @@ const absl::flat_hash_map &NodeInfoAccessor::GetAll() return node_cache_; } -Status NodeInfoAccessor::GetAllNoCache(int64_t timeout_ms, - std::vector &nodes) { - RAY_LOG(DEBUG) << "Getting information of all nodes."; - rpc::GetAllNodeInfoRequest request; - rpc::GetAllNodeInfoReply reply; - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncGetAllNodeInfo(request, &reply, timeout_ms)); - nodes = VectorFromProtobuf(std::move(*reply.mutable_node_info_list())); - return Status::OK(); -} - -StatusOr> NodeInfoAccessor::GetAllNoCacheWithFilters( +StatusOr> NodeInfoAccessor::GetAllNoCache( int64_t timeout_ms, - rpc::GcsNodeInfo::GcsNodeState state_filter, - rpc::GetAllNodeInfoRequest::NodeSelector node_selector) { + std::optional state_filter, + std::optional node_selector) { rpc::GetAllNodeInfoRequest request; - *request.add_node_selectors() = std::move(node_selector); - request.set_state_filter(state_filter); + if (state_filter.has_value()) { + request.set_state_filter(state_filter.value()); + } + if (node_selector.has_value()) { + *request.add_node_selectors() = std::move(node_selector.value()); + } rpc::GetAllNodeInfoReply reply; RAY_RETURN_NOT_OK( client_impl_->GetGcsRpcClient().SyncGetAllNodeInfo(request, &reply, timeout_ms)); diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index b8c7d9b24c1d..cd229ad63ce3 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -385,18 +385,14 @@ class NodeInfoAccessor { /// \return All nodes in cache. virtual const absl::flat_hash_map &GetAll() const; - /// Get information of all nodes from an RPC to GCS synchronously. - /// - /// \return All nodes from gcs without cache. - virtual Status GetAllNoCache(int64_t timeout_ms, std::vector &nodes); - - /// Get information of all nodes from an RPC to GCS synchronously with filters. + /// Get information of all nodes from an RPC to GCS synchronously with optional filters. /// /// \return All nodes that match the given filters from the gcs without the cache. - virtual StatusOr> GetAllNoCacheWithFilters( + virtual StatusOr> GetAllNoCache( int64_t timeout_ms, - rpc::GcsNodeInfo::GcsNodeState state_filter, - rpc::GetAllNodeInfoRequest::NodeSelector node_selector); + std::optional state_filter = std::nullopt, + std::optional node_selector = + std::nullopt); /// Send a check alive request to GCS for the liveness of some nodes. /// diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index 887eca9043ef..f52e24f05967 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -415,7 +415,7 @@ ray::Status GlobalStateAccessor::GetNode(const std::string &node_id_hex_str, auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); RAY_ASSIGN_OR_RETURN(node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters( + gcs_client_->Nodes().GetAllNoCache( timeout_ms, rpc::GcsNodeInfo::ALIVE, std::move(selector))); } if (!node_infos.empty()) { @@ -449,7 +449,7 @@ ray::Status GlobalStateAccessor::GetNodeToConnectForDriver( auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); RAY_ASSIGN_OR_RETURN(node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters( + gcs_client_->Nodes().GetAllNoCache( timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } if (!node_infos.empty()) { @@ -468,7 +468,7 @@ ray::Status GlobalStateAccessor::GetNodeToConnectForDriver( absl::ReaderMutexLock lock(&mutex_); auto timeout_ms = end_time_point - current_time_ms(); RAY_ASSIGN_OR_RETURN(node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters( + gcs_client_->Nodes().GetAllNoCache( timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } if (node_infos.empty() && node_ip_address == gcs_address) { @@ -478,7 +478,7 @@ ray::Status GlobalStateAccessor::GetNodeToConnectForDriver( auto timeout_ms = std::max(end_time_point - current_time_ms(), static_cast(0)); RAY_ASSIGN_OR_RETURN(node_infos, - gcs_client_->Nodes().GetAllNoCacheWithFilters( + gcs_client_->Nodes().GetAllNoCache( timeout_ms, rpc::GcsNodeInfo::ALIVE, selector)); } } From e78d401c4384377632fb04709069e641cd3c5ecf Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Fri, 8 Aug 2025 23:27:57 +0200 Subject: [PATCH 0581/1566] [serve] Move utility functions from constants to constants_utils + increase readability of constants (#54944) - Move utility functions from `constants.py` to separate utility file `constants_utils.py`. - Increase readability of `constants.py` by introduction utility functions for processing environment variables. - The behavior of the constants remains unchanged (only error messages are different), e.g before: ``` ValueError: invalid literal for int() with base 10: '0.1' ``` after: ``` ValueError: Environment variable `RAY_SERVE_DEFAULT_HTTP_PORT` value `0.1` cannot be converted to `int`! ``` before: ``` AssertionError: Got unexpected value 0 for MAX_CACHED_HANDLES environment variable. MAX_CACHED_HANDLES must be positive. ``` after: ``` ValueError: Got unexpected value `0` for `MAX_CACHED_HANDLES` environment variable! Expected positive `int`. ``` --- Overall, I tried not to change the existing behavior. However, there are some suggestions for further improvements of the serve constants: 1. Use `RAY_SERVE_` prefix for all env variables. Now, some of them have it, some - haven't (e.g. `RAY_SERVE_HTTP_PROXY_CALLBACK_IMPORT_PATH` vs `CONTROLLER_MAX_CONCURRENCY`). It can be confusing. With persistent naming, readability of constants can be improved and variables will have consistent naming. 2. Variables which use `or value` silently replaces wrong value for some variables, e.g. `float(os.getenv("RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", 10)) or 10` will replace set `0` to `10` without any warning. Would it be better to just require positive value instead? 3. In the following example 2 env variables are used to fill `RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S`. Would one variable be better? ``` RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S = ( get_env_float("RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0) or get_env_float("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0) or None ) ``` --------- Signed-off-by: axreldable Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 240 +++++++----------- python/ray/serve/_private/constants_utils.py | 209 +++++++++++++++ python/ray/serve/tests/unit/test_constants.py | 62 ----- .../serve/tests/unit/test_constants_utils.py | 197 ++++++++++++++ 4 files changed, 504 insertions(+), 204 deletions(-) create mode 100644 python/ray/serve/_private/constants_utils.py delete mode 100644 python/ray/serve/tests/unit/test_constants.py create mode 100644 python/ray/serve/tests/unit/test_constants_utils.py diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index d2884ff34bf3..166abcae2246 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -1,6 +1,16 @@ -import os from typing import List +from ray.serve._private.constants_utils import ( + get_env_bool, + get_env_float, + get_env_float_non_negative, + get_env_int, + get_env_int_positive, + get_env_str, + parse_latency_buckets, + str_to_list, +) + #: Logger used by serve components SERVE_LOGGER_NAME = "ray.serve" @@ -14,16 +24,16 @@ SERVE_NAMESPACE = "serve" #: HTTP Host -DEFAULT_HTTP_HOST = os.environ.get("RAY_SERVE_DEFAULT_HTTP_HOST", "127.0.0.1") +DEFAULT_HTTP_HOST = get_env_str("RAY_SERVE_DEFAULT_HTTP_HOST", "127.0.0.1") #: HTTP Port -DEFAULT_HTTP_PORT = int(os.environ.get("RAY_SERVE_DEFAULT_HTTP_PORT", 8000)) +DEFAULT_HTTP_PORT = get_env_int("RAY_SERVE_DEFAULT_HTTP_PORT", 8000) #: Uvicorn timeout_keep_alive Config DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S = 90 #: gRPC Port -DEFAULT_GRPC_PORT = int(os.environ.get("RAY_SERVE_DEFAULT_GRPC_PORT", 9000)) +DEFAULT_GRPC_PORT = get_env_int("RAY_SERVE_DEFAULT_GRPC_PORT", 9000) #: Default Serve application name SERVE_DEFAULT_APP_NAME = "default" @@ -32,11 +42,8 @@ ASYNC_CONCURRENCY = int(1e6) # How long to sleep between control loop cycles on the controller. -CONTROL_LOOP_INTERVAL_S = float(os.getenv("RAY_SERVE_CONTROL_LOOP_INTERVAL_S", 0.1)) -assert CONTROL_LOOP_INTERVAL_S >= 0, ( - f"Got unexpected value {CONTROL_LOOP_INTERVAL_S} for " - "RAY_SERVE_CONTROL_LOOP_INTERVAL_S environment variable. " - "RAY_SERVE_CONTROL_LOOP_INTERVAL_S cannot be negative." +CONTROL_LOOP_INTERVAL_S = get_env_float_non_negative( + "RAY_SERVE_CONTROL_LOOP_INTERVAL_S", 0.1 ) #: Max time to wait for HTTP proxy in `serve.start()`. @@ -46,14 +53,13 @@ #: If no replicas at target version is running by the time we're at #: max construtor retry count, deploy() is considered failed. #: By default we set threshold as min(num_replicas * 3, this value) -MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT = int( - os.environ.get("MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", "20") +MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT = get_env_int( + "MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", 20 ) # Max retry on deployment constructor is # min(num_replicas * MAX_PER_REPLICA_RETRY_COUNT, MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT) -MAX_PER_REPLICA_RETRY_COUNT = int(os.environ.get("MAX_PER_REPLICA_RETRY_COUNT", "3")) - +MAX_PER_REPLICA_RETRY_COUNT = get_env_int("MAX_PER_REPLICA_RETRY_COUNT", 3) # If you are wondering why we are using histogram buckets, please refer to # https://prometheus.io/docs/practices/histograms/ @@ -89,37 +95,16 @@ 600000, ] - -def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: - if bucket_str.strip() == "": - return default_buckets - try: - # Convert string to list of floats - buckets = [float(x.strip()) for x in bucket_str.split(",")] - if not buckets: - raise ValueError("Empty bucket list") - if any(x <= 0 for x in buckets): - raise ValueError("Bucket values must be positive") - if sorted(set(buckets)) != buckets: - raise ValueError("Bucket values must be in strictly ascending order") - return buckets - except Exception as e: - raise ValueError( - f"Invalid format for {bucket_str}. " - f"Expected comma-separated positive numbers in ascending order. Error: {str(e)}" - ) - - # Example usage: # RAY_SERVE_REQUEST_LATENCY_BUCKET_MS="1,2,3,4" # RAY_SERVE_MODEL_LOAD_LATENCY_BUCKET_MS="1,2,3,4" #: Histogram buckets for request latency. REQUEST_LATENCY_BUCKETS_MS = parse_latency_buckets( - os.getenv("REQUEST_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS + get_env_str("REQUEST_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS ) #: Histogram buckets for model load/unload latency. MODEL_LOAD_LATENCY_BUCKETS_MS = parse_latency_buckets( - os.getenv("MODEL_LOAD_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS + get_env_str("MODEL_LOAD_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS ) #: Name of deployment health check method implemented by user. @@ -132,21 +117,11 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: #: Limit the number of cached handles because each handle has long poll #: overhead. See https://github.com/ray-project/ray/issues/18980 -MAX_CACHED_HANDLES = int(os.getenv("MAX_CACHED_HANDLES", 100)) -assert MAX_CACHED_HANDLES > 0, ( - f"Got unexpected value {MAX_CACHED_HANDLES} for " - "MAX_CACHED_HANDLES environment variable. " - "MAX_CACHED_HANDLES must be positive." -) +MAX_CACHED_HANDLES = get_env_int_positive("MAX_CACHED_HANDLES", 100) #: Because ServeController will accept one long poll request per handle, its #: concurrency needs to scale as O(num_handles) -CONTROLLER_MAX_CONCURRENCY = int(os.getenv("CONTROLLER_MAX_CONCURRENCY", 15_000)) -assert CONTROLLER_MAX_CONCURRENCY > 0, ( - f"Got unexpected value {CONTROLLER_MAX_CONCURRENCY} for " - "CONTROLLER_MAX_CONCURRENCY environment variable. " - "CONTROLLER_MAX_CONCURRENCY must be positive." -) +CONTROLLER_MAX_CONCURRENCY = get_env_int_positive("CONTROLLER_MAX_CONCURRENCY", 15_000) DEFAULT_GRACEFUL_SHUTDOWN_TIMEOUT_S = 20 DEFAULT_GRACEFUL_SHUTDOWN_WAIT_LOOP_S = 2 @@ -157,13 +132,14 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # HTTP Proxy health check configs PROXY_HEALTH_CHECK_TIMEOUT_S = ( - float(os.environ.get("RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", "10")) or 10 + get_env_float("RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", 10.0) or 10.0 ) + PROXY_HEALTH_CHECK_PERIOD_S = ( - float(os.environ.get("RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S", "10")) or 10 + get_env_float("RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S", 10.0) or 10.0 ) PROXY_READY_CHECK_TIMEOUT_S = ( - float(os.environ.get("RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S", "5")) or 5 + get_env_float("RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S", 5.0) or 5.0 ) # Number of times in a row that a HTTP proxy must fail the health check before @@ -172,7 +148,7 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # The minimum drain period for a HTTP proxy. PROXY_MIN_DRAINING_PERIOD_S = ( - float(os.environ.get("RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", "30")) or 30 + get_env_float("RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", 30.0) or 30.0 ) # The time in seconds that the http proxy state waits before # rechecking whether the proxy actor is drained or not. @@ -183,14 +159,14 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: REPLICA_HEALTH_CHECK_UNHEALTHY_THRESHOLD = 3 # The time in seconds that the Serve client waits before rechecking deployment state -CLIENT_POLLING_INTERVAL_S: float = 1 +CLIENT_POLLING_INTERVAL_S = 1.0 # The time in seconds that the Serve client waits before checking if # deployment has been created -CLIENT_CHECK_CREATION_POLLING_INTERVAL_S: float = 0.1 +CLIENT_CHECK_CREATION_POLLING_INTERVAL_S = 0.1 # Timeout for GCS internal KV service -RAY_SERVE_KV_TIMEOUT_S = float(os.environ.get("RAY_SERVE_KV_TIMEOUT_S", "0")) or None +RAY_SERVE_KV_TIMEOUT_S = get_env_float("RAY_SERVE_KV_TIMEOUT_S", 0.0) or None # Timeout for GCS RPC request RAY_GCS_RPC_TIMEOUT_S = 3.0 @@ -202,22 +178,21 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # Minimum duration to wait until broadcasting model IDs. PUSH_MULTIPLEXED_MODEL_IDS_INTERVAL_S = 0.1 - # Deprecation message for V1 migrations. MIGRATION_MESSAGE = ( "See https://docs.ray.io/en/latest/serve/index.html for more information." ) # Environment variable name for to specify the encoding of the log messages -RAY_SERVE_LOG_ENCODING = os.environ.get("RAY_SERVE_LOG_ENCODING", "TEXT") +RAY_SERVE_LOG_ENCODING = get_env_str("RAY_SERVE_LOG_ENCODING", "TEXT") # Jsonify the log messages. This constant is deprecated and will be removed in the # future. Use RAY_SERVE_LOG_ENCODING or 'LoggingConfig' to enable json format. -RAY_SERVE_ENABLE_JSON_LOGGING = os.environ.get("RAY_SERVE_ENABLE_JSON_LOGGING") == "1" +RAY_SERVE_ENABLE_JSON_LOGGING = get_env_bool("RAY_SERVE_ENABLE_JSON_LOGGING", "0") # Setting RAY_SERVE_LOG_TO_STDERR=0 will disable logging to the stdout and stderr. # Also, redirect them to serve's log files. -RAY_SERVE_LOG_TO_STDERR = os.environ.get("RAY_SERVE_LOG_TO_STDERR", "1") == "1" +RAY_SERVE_LOG_TO_STDERR = get_env_bool("RAY_SERVE_LOG_TO_STDERR", "1") # Logging format attributes SERVE_LOG_REQUEST_ID = "request_id" @@ -250,13 +225,13 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: "skip_context_filter", } -RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S = int( - os.environ.get("RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S", 0) +RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S = get_env_int( + "RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S", 0 ) RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S = ( - float(os.environ.get("RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0)) - or float(os.environ.get("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0)) + get_env_float("RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0) + or get_env_float("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0) or None ) @@ -269,62 +244,59 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: SERVE_HTTP_REQUEST_ID_HEADER = "x-request-id" # Feature flag to turn on node locality routing for proxies. On by default. -RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING = ( - os.environ.get("RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING", "1") == "1" +RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING = get_env_bool( + "RAY_SERVE_PROXY_PREFER_LOCAL_NODE_ROUTING", "1" ) # Feature flag to turn on AZ locality routing for proxies. On by default. -RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING = ( - os.environ.get("RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING", "1") == "1" +RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING = get_env_bool( + "RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING", "1" ) # Serve HTTP proxy callback import path. -RAY_SERVE_HTTP_PROXY_CALLBACK_IMPORT_PATH = os.environ.get( +RAY_SERVE_HTTP_PROXY_CALLBACK_IMPORT_PATH = get_env_str( "RAY_SERVE_HTTP_PROXY_CALLBACK_IMPORT_PATH", None ) # Serve controller callback import path. -RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH = os.environ.get( +RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH = get_env_str( "RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH", None ) # How often autoscaling metrics are recorded on Serve replicas. -RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S = float( - os.environ.get("RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S", "0.5") +RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S = get_env_float( + "RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S", 0.5 ) # Replica autoscaling metrics push interval. -RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S = float( - os.environ.get("RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S", "10") +RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S = get_env_float( + "RAY_SERVE_REPLICA_AUTOSCALING_METRIC_PUSH_INTERVAL_S", 10.0 ) # How often autoscaling metrics are recorded on Serve handles. -RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S = float( - os.environ.get("RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S", "0.5") +RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S = get_env_float( + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S", 0.5 ) # Handle autoscaling metrics push interval. (This interval will affect the cold start time period) -RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S = float( - os.environ.get( - "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S", - # Legacy env var for RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S - os.environ.get("RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S", "10"), - ) +RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S = get_env_float( + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S", + # Legacy env var for RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S + get_env_float("RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S", 10.0), ) - # Serve multiplexed matching timeout. # This is the timeout for the matching process of multiplexed requests. To avoid # thundering herd problem, the timeout value will be randomed between this value # and this value * 2. The unit is second. # If the matching process takes longer than the timeout, the request will be # fallen to the default routing strategy. -RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S = float( - os.environ.get("RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S", "1") +RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S = get_env_float( + "RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S", 1.0 ) # Enable memray in all Serve actors. -RAY_SERVE_ENABLE_MEMORY_PROFILING = ( - os.environ.get("RAY_SERVE_ENABLE_MEMORY_PROFILING", "0") == "1" +RAY_SERVE_ENABLE_MEMORY_PROFILING = get_env_bool( + "RAY_SERVE_ENABLE_MEMORY_PROFILING", "0" ) # Max value allowed for max_replicas_per_node option. @@ -338,36 +310,36 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: GRPC_CONTEXT_ARG_NAME = "grpc_context" # Whether or not to forcefully kill replicas that fail health checks. -RAY_SERVE_FORCE_STOP_UNHEALTHY_REPLICAS = ( - os.environ.get("RAY_SERVE_FORCE_STOP_UNHEALTHY_REPLICAS", "0") == "1" +RAY_SERVE_FORCE_STOP_UNHEALTHY_REPLICAS = get_env_bool( + "RAY_SERVE_FORCE_STOP_UNHEALTHY_REPLICAS", "0" ) # Initial deadline for queue length responses in the router. -RAY_SERVE_QUEUE_LENGTH_RESPONSE_DEADLINE_S = float( - os.environ.get("RAY_SERVE_QUEUE_LENGTH_RESPONSE_DEADLINE_S", 0.1) +RAY_SERVE_QUEUE_LENGTH_RESPONSE_DEADLINE_S = get_env_float( + "RAY_SERVE_QUEUE_LENGTH_RESPONSE_DEADLINE_S", 0.1 ) # Maximum deadline for queue length responses in the router (in backoff). -RAY_SERVE_MAX_QUEUE_LENGTH_RESPONSE_DEADLINE_S = float( - os.environ.get("RAY_SERVE_MAX_QUEUE_LENGTH_RESPONSE_DEADLINE_S", 1.0) +RAY_SERVE_MAX_QUEUE_LENGTH_RESPONSE_DEADLINE_S = get_env_float( + "RAY_SERVE_MAX_QUEUE_LENGTH_RESPONSE_DEADLINE_S", 1.0 ) # Length of time to respect entries in the queue length cache when routing requests. -RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S = float( - os.environ.get("RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S", 10.0) +RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S = get_env_float( + "RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S", 10.0 ) # Backoff seconds when choosing router failed, backoff time is calculated as # initial_backoff_s * backoff_multiplier ** attempt. # The default backoff time is [0, 0.025, 0.05, 0.1, 0.2, 0.4, 0.5, 0.5 ... ]. -RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S = float( - os.environ.get("RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S", 0.025) +RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S = get_env_float( + "RAY_SERVE_ROUTER_RETRY_INITIAL_BACKOFF_S", 0.025 ) -RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER = int( - os.environ.get("RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER", 2) +RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER = get_env_int( + "RAY_SERVE_ROUTER_RETRY_BACKOFF_MULTIPLIER", 2 ) -RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S = float( - os.environ.get("RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S", 0.5) +RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S = get_env_float( + "RAY_SERVE_ROUTER_RETRY_MAX_BACKOFF_S", 0.5 ) # The default autoscaling policy to use if none is specified. @@ -375,23 +347,22 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: # Feature flag to enable collecting all queued and ongoing request # metrics at handles instead of replicas. ON by default. -RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE = ( - os.environ.get("RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE", "1") == "1" +RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE = get_env_bool( + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE", "1" ) -RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S = float( - os.environ.get("RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S", 10.0) +RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S = get_env_float( + "RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S", 10.0 ) # Feature flag to always run a proxy on the head node even if it has no replicas. -RAY_SERVE_ALWAYS_RUN_PROXY_ON_HEAD_NODE = ( - os.environ.get("RAY_SERVE_ALWAYS_RUN_PROXY_ON_HEAD_NODE", "1") == "1" +RAY_SERVE_ALWAYS_RUN_PROXY_ON_HEAD_NODE = get_env_bool( + "RAY_SERVE_ALWAYS_RUN_PROXY_ON_HEAD_NODE", "1" ) - # Default is 2GiB, the max for a signed int. -RAY_SERVE_GRPC_MAX_MESSAGE_SIZE = int( - os.environ.get("RAY_SERVE_GRPC_MAX_MESSAGE_SIZE", (2 * 1024 * 1024 * 1024) - 1) +RAY_SERVE_GRPC_MAX_MESSAGE_SIZE = get_env_int( + "RAY_SERVE_GRPC_MAX_MESSAGE_SIZE", (2 * 1024 * 1024 * 1024) - 1 ) # Default options passed when constructing gRPC servers. @@ -404,40 +375,27 @@ def parse_latency_buckets(bucket_str: str, default_buckets: list) -> list: METRICS_PUSHER_GRACEFUL_SHUTDOWN_TIMEOUT_S = 10 # Feature flag to set `enable_task_events=True` on Serve-managed actors. -RAY_SERVE_ENABLE_TASK_EVENTS = ( - os.environ.get("RAY_SERVE_ENABLE_TASK_EVENTS", "0") == "1" -) +RAY_SERVE_ENABLE_TASK_EVENTS = get_env_bool("RAY_SERVE_ENABLE_TASK_EVENTS", "0") # Use compact instead of spread scheduling strategy -RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY = ( - os.environ.get("RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY", "0") == "1" +RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY = get_env_bool( + "RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY", "0" ) - -def str_to_list(s: str) -> List[str]: - """Return a list from a comma-separated string. - - Trims whitespace and skips empty entries. - """ - return [r.strip() for r in s.split(",") if r.strip()] - - # Comma-separated list of custom resources prioritized in scheduling. Sorted from highest to lowest priority. # Example: "customx,customy" RAY_SERVE_HIGH_PRIORITY_CUSTOM_RESOURCES: List[str] = str_to_list( - os.environ.get("RAY_SERVE_HIGH_PRIORITY_CUSTOM_RESOURCES", "") + get_env_str("RAY_SERVE_HIGH_PRIORITY_CUSTOM_RESOURCES", "") ) # Feature flag to always override local_testing_mode to True in serve.run. # This is used for internal testing to avoid passing the flag to every invocation. -RAY_SERVE_FORCE_LOCAL_TESTING_MODE = ( - os.environ.get("RAY_SERVE_FORCE_LOCAL_TESTING_MODE", "0") == "1" +RAY_SERVE_FORCE_LOCAL_TESTING_MODE = get_env_bool( + "RAY_SERVE_FORCE_LOCAL_TESTING_MODE", "0" ) # Run sync methods defined in the replica in a thread pool by default. -RAY_SERVE_RUN_SYNC_IN_THREADPOOL = ( - os.environ.get("RAY_SERVE_RUN_SYNC_IN_THREADPOOL", "0") == "1" -) +RAY_SERVE_RUN_SYNC_IN_THREADPOOL = get_env_bool("RAY_SERVE_RUN_SYNC_IN_THREADPOOL", "0") RAY_SERVE_RUN_SYNC_IN_THREADPOOL_WARNING = ( "Calling sync method '{method_name}' directly on the " @@ -450,19 +408,17 @@ def str_to_list(s: str) -> List[str]: # Feature flag to turn off GC optimizations in the proxy (in case there is a # memory leak or negative performance impact). -RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS = ( - os.environ.get("RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS", "1") == "1" +RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS = get_env_bool( + "RAY_SERVE_ENABLE_PROXY_GC_OPTIMIZATIONS", "1" ) # Used for gc.set_threshold() when proxy GC optimizations are enabled. -RAY_SERVE_PROXY_GC_THRESHOLD = int( - os.environ.get("RAY_SERVE_PROXY_GC_THRESHOLD", "10000") -) +RAY_SERVE_PROXY_GC_THRESHOLD = get_env_int("RAY_SERVE_PROXY_GC_THRESHOLD", 10_000) # Interval at which cached metrics will be exported using the Ray metric API. # Set to `0` to disable caching entirely. -RAY_SERVE_METRICS_EXPORT_INTERVAL_MS = int( - os.environ.get("RAY_SERVE_METRICS_EXPORT_INTERVAL_MS", "100") +RAY_SERVE_METRICS_EXPORT_INTERVAL_MS = get_env_int( + "RAY_SERVE_METRICS_EXPORT_INTERVAL_MS", 100 ) # The default request router class to use if none is specified. @@ -482,23 +438,23 @@ def str_to_list(s: str) -> List[str]: # By default, we run user code in a separate event loop. # This flag can be set to 0 to run user code in the same event loop as the # replica's main event loop. -RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD = ( - os.environ.get("RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD", "1") == "1" +RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD = get_env_bool( + "RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD", "1" ) # By default, we run the router in a separate event loop. # This flag can be set to 0 to run the router in the same event loop as the # replica's main event loop. -RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP = ( - os.environ.get("RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP", "1") == "1" +RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP = get_env_bool( + "RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP", "1" ) # The default buffer size for request path logs. Setting to 1 will ensure # logs are flushed to file handler immediately, otherwise it will be buffered # and flushed to file handler when the buffer is full or when there is a log # line with level ERROR. -RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = int( - os.environ.get("RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE", "1") +RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = get_env_int( + "RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE", 1 ) # The message to return when the replica is healthy. diff --git a/python/ray/serve/_private/constants_utils.py b/python/ray/serve/_private/constants_utils.py new file mode 100644 index 000000000000..d06790701930 --- /dev/null +++ b/python/ray/serve/_private/constants_utils.py @@ -0,0 +1,209 @@ +import os +from typing import Callable, List, Optional, Type, TypeVar + + +def str_to_list(s: str) -> List[str]: + """Return a list from a comma-separated string. + + Trims whitespace and skips empty entries. + """ + return [part for part in (part.strip() for part in s.split(",")) if part] + + +def parse_latency_buckets(bucket_str: str, default_buckets: List[float]) -> List[float]: + """Parse a comma-separated string of latency bucket values. + + Args: + bucket_str: A comma-separated string of positive numbers in ascending order. + default_buckets: Default bucket values to use if bucket_str is empty. + + Returns: + A list of parsed float values. + + Raises: + ValueError: If the format is invalid or values don't meet requirements. + """ + if bucket_str.strip() == "": + return default_buckets + try: + # Convert string to list of floats + buckets = [float(x.strip()) for x in bucket_str.split(",")] + + if not buckets: + raise ValueError("Empty bucket list") + if any(x <= 0 for x in buckets): + raise ValueError("Bucket values must be positive") + if sorted(set(buckets)) != buckets: + raise ValueError("Bucket values must be in strictly ascending order") + + return buckets + except Exception as e: + raise ValueError( + f"Invalid format for `{bucket_str}`. " + f"Expected comma-separated positive numbers in ascending order. Error: {str(e)}" + ) from e + + +T = TypeVar("T") + + +def _get_env_value( + name: str, + default: T, + value_type: Type[T], + value_requirement: Optional[Callable[[T], bool]] = None, + error_message: str = None, +) -> T: + """Get environment variable with type conversion and validation. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + value_type: Type to convert the environment variable value to. + value_requirement: Optional function to validate the converted value. + error_message: Error message description for validation failures. + + Returns: + The converted and validated environment variable value. + + Raises: + ValueError: If type conversion fails or validation fails. + """ + raw = os.environ.get(name, default) + try: + value = value_type(raw) + except ValueError as e: + raise ValueError( + f"Environment variable `{name}` value `{raw}` cannot be converted to `{value_type.__name__}`!" + ) from e + + if value_requirement and not value_requirement(value): + raise ValueError( + f"Got unexpected value `{value}` for `{name}` environment variable! Expected {error_message} `{value_type.__name__}`." + ) + + return value + + +def get_env_int(name: str, default: int) -> int: + """Get environment variable as an integer. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as an integer. + + Raises: + ValueError: If the value cannot be converted to an integer. + """ + return _get_env_value(name, default, int) + + +def get_env_int_positive(name: str, default: int) -> int: + """Get environment variable as a positive integer. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a positive integer. + + Raises: + ValueError: If the value cannot be converted to an integer or is not positive. + """ + return _get_env_value(name, default, int, lambda x: x > 0, "positive") + + +def get_env_int_non_negative(name: str, default: int) -> int: + """Get environment variable as a non-negative integer. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a non-negative integer. + + Raises: + ValueError: If the value cannot be converted to an integer or is negative. + """ + return _get_env_value(name, default, int, lambda x: x >= 0, "non negative") + + +def get_env_float(name: str, default: float) -> float: + """Get environment variable as a float. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a float. + + Raises: + ValueError: If the value cannot be converted to a float. + """ + return _get_env_value(name, default, float) + + +def get_env_float_positive(name: str, default: float) -> float: + """Get environment variable as a positive float. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a positive float. + + Raises: + ValueError: If the value cannot be converted to a float or is not positive. + """ + return _get_env_value(name, default, float, lambda x: x > 0, "positive") + + +def get_env_float_non_negative(name: str, default: float) -> float: + """Get environment variable as a non-negative float. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a non-negative float. + + Raises: + ValueError: If the value cannot be converted to a float or is negative. + """ + return _get_env_value(name, default, float, lambda x: x >= 0, "non negative") + + +def get_env_str(name: str, default: Optional[str]) -> str: + """Get environment variable as a string. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + The environment variable value as a string. + """ + return os.environ.get(name, default) + + +def get_env_bool(name: str, default: Optional[str]) -> bool: + """Get environment variable as a boolean. + + Environment variable values of "1" are interpreted as True, all others as False. + + Args: + name: The name of the environment variable. + default: Default value to use if the environment variable is not set. + + Returns: + True if the environment variable value is "1", False otherwise. + """ + return os.environ.get(name, default) == "1" diff --git a/python/ray/serve/tests/unit/test_constants.py b/python/ray/serve/tests/unit/test_constants.py deleted file mode 100644 index ba63b8894169..000000000000 --- a/python/ray/serve/tests/unit/test_constants.py +++ /dev/null @@ -1,62 +0,0 @@ -import pytest - -from ray.serve._private.constants import ( - DEFAULT_LATENCY_BUCKET_MS, - parse_latency_buckets, -) - - -def test_parse_latency_buckets(): - # Test empty string returns default buckets - assert ( - parse_latency_buckets("", DEFAULT_LATENCY_BUCKET_MS) - == DEFAULT_LATENCY_BUCKET_MS - ) - - # Test valid inputs with different formats - assert parse_latency_buckets("1,2,3", []) == [1.0, 2.0, 3.0] - assert parse_latency_buckets("1,2,3,4 ", []) == [1.0, 2.0, 3.0, 4.0] - assert parse_latency_buckets(" 1,2,3,4,5", []) == [1.0, 2.0, 3.0, 4.0, 5.0] - assert parse_latency_buckets(" 1, 2,3 ,4,5 ,6 ", []) == [ - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - ] - - # Test decimal numbers - assert parse_latency_buckets("0.5,1.5,2.5", []) == [0.5, 1.5, 2.5] - - -def test_parse_latency_buckets_invalid(): - # Test negative numbers - with pytest.raises(ValueError, match=".*must be positive.*"): - parse_latency_buckets("-1,1,2,3,4", []) - - # Test non-ascending order - with pytest.raises(ValueError, match=".*be in strictly ascending order*"): - parse_latency_buckets("4,3,2,1", []) - - # Test duplicate values - with pytest.raises(ValueError, match=".*be in strictly ascending order.*"): - parse_latency_buckets("1,2,2,3,4", []) - - # Test invalid number format - with pytest.raises(ValueError, match=".*Invalid.*format.*"): - parse_latency_buckets("1,2,3,4,a", []) - - # Test empty list - with pytest.raises(ValueError, match=".*could not convert.*"): - parse_latency_buckets(",,,", []) - - # Test invalid separators - with pytest.raises(ValueError, match=".*could not convert.*"): - parse_latency_buckets("1;2;3;4", []) - - -if __name__ == "__main__": - import sys - - sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/unit/test_constants_utils.py b/python/ray/serve/tests/unit/test_constants_utils.py new file mode 100644 index 000000000000..3051d29b3c6b --- /dev/null +++ b/python/ray/serve/tests/unit/test_constants_utils.py @@ -0,0 +1,197 @@ +import os +from unittest.mock import patch + +import pytest + +from ray.serve._private.constants_utils import ( + get_env_bool, + get_env_float, + get_env_float_non_negative, + get_env_float_positive, + get_env_int, + get_env_int_non_negative, + get_env_int_positive, + get_env_str, + parse_latency_buckets, + str_to_list, +) + + +class TestStrToList: + def test_str_to_list_basic(self): + assert str_to_list("a,b,c") == ["a", "b", "c"] + + def test_str_to_list_with_whitespace(self): + assert str_to_list(" a , b , c ") == ["a", "b", "c"] + + def test_str_to_list_empty_string(self): + assert str_to_list("") == [] + + def test_str_to_list_with_empty_entries(self): + assert str_to_list("a,,b,c,") == ["a", "b", "c"] + + def test_str_to_list_only_whitespace(self): + assert str_to_list(" ") == [] + + def test_str_to_list_single_entry(self): + assert str_to_list("single") == ["single"] + + def test_str_to_list_only_commas(self): + assert str_to_list(",,,,") == [] + + def test_str_to_list_whitespace_entries(self): + assert str_to_list("a, ,b") == ["a", "b"] + + +class TestParseLatencyBuckets: + def test_parse_latency_buckets(self): + # Test valid inputs with different formats + assert parse_latency_buckets("1,2,3", []) == [1.0, 2.0, 3.0] + assert parse_latency_buckets("1,2,3,4 ", []) == [1.0, 2.0, 3.0, 4.0] + assert parse_latency_buckets(" 1,2,3,4,5", []) == [1.0, 2.0, 3.0, 4.0, 5.0] + assert parse_latency_buckets(" 1, 2,3 ,4,5 ,6 ", []) == [ + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + ] + + # Test decimal numbers + assert parse_latency_buckets("0.5,1.5,2.5", []) == [0.5, 1.5, 2.5] + + def test_parse_latency_buckets_invalid(self): + # Test negative numbers + with pytest.raises(ValueError, match=".*must be positive.*"): + parse_latency_buckets("-1,1,2,3,4", []) + + # Test non-ascending order + with pytest.raises(ValueError, match=".*be in strictly ascending order*"): + parse_latency_buckets("4,3,2,1", []) + + # Test duplicate values + with pytest.raises(ValueError, match=".*be in strictly ascending order.*"): + parse_latency_buckets("1,2,2,3,4", []) + + # Test invalid number format + with pytest.raises(ValueError, match=".*Invalid.*format.*"): + parse_latency_buckets("1,2,3,4,a", []) + + # Test empty list + with pytest.raises(ValueError, match=".*could not convert.*"): + parse_latency_buckets(",,,", []) + + # Test invalid separators + with pytest.raises(ValueError, match=".*could not convert.*"): + parse_latency_buckets("1;2;3;4", []) + + +@pytest.fixture +def mock_environ(): + with patch.dict(os.environ, {}, clear=True) as mock_env: + yield mock_env + + +class TestEnvValueFunctions: + def test_get_env_int(self, mock_environ): + assert 0 == get_env_int("TEST_VAR", 0) + + mock_environ["TEST_VAR"] = "42" + assert 42 == get_env_int("TEST_VAR", 0) + + mock_environ["TEST_VAR"] = "-1" + assert -1 == get_env_int("TEST_VAR", 0) + + mock_environ["TEST_VAR"] = "0.1" + with pytest.raises(ValueError, match=".*`0.1` cannot be converted to `int`!*"): + get_env_int_positive("TEST_VAR", 5) + + mock_environ["TEST_VAR"] = "abc" + with pytest.raises(ValueError, match=".*`abc` cannot be converted to `int`!*"): + get_env_int_positive("TEST_VAR", 5) + + def test_get_env_int_positive(self, mock_environ): + assert 1 == get_env_int_positive("TEST_VAR", 1) + + mock_environ["TEST_VAR"] = "42" + assert 42 == get_env_int_positive("TEST_VAR", 0) + + mock_environ["TEST_VAR"] = "-1" + with pytest.raises(ValueError, match=".*Expected positive `int`.*"): + get_env_int_positive("TEST_VAR", 5) + + def test_get_env_int_non_negative(self, mock_environ): + assert 0 == get_env_int_non_negative("TEST_VAR", 0) + assert 1 == get_env_int_non_negative("TEST_VAR", 1) + + mock_environ["TEST_VAR"] = "42" + assert 42 == get_env_int_non_negative("TEST_VAR", 0) + + mock_environ["TEST_VAR"] = "-1" + with pytest.raises(ValueError, match=".*Expected non negative `int`.*"): + get_env_int_non_negative("TEST_VAR", 5) + + def test_get_env_float(self, mock_environ): + assert 0.0 == get_env_float("TEST_VAR", 0.0) + + mock_environ["TEST_VAR"] = "3.14" + assert 3.14 == get_env_float("TEST_VAR", 0.0) + + mock_environ["TEST_VAR"] = "-2.5" + assert -2.5 == get_env_float("TEST_VAR", 0.0) + + mock_environ["TEST_VAR"] = "abc" + with pytest.raises( + ValueError, match=".*`abc` cannot be converted to `float`!*" + ): + get_env_float("TEST_VAR", 0.0) + + def test_get_env_float_positive(self, mock_environ): + assert 1.5 == get_env_float_positive("TEST_VAR", 1.5) + + mock_environ["TEST_VAR"] = "42.5" + assert 42.5 == get_env_float_positive("TEST_VAR", 0.0) + + mock_environ["TEST_VAR"] = "-1.2" + with pytest.raises(ValueError, match=".*Expected positive `float`.*"): + get_env_float_positive("TEST_VAR", 5.0) + + def test_get_env_float_non_negative(self, mock_environ): + assert 0.0 == get_env_float_non_negative("TEST_VAR", 0.0) + assert 1.5 == get_env_float_non_negative("TEST_VAR", 1.5) + + mock_environ["TEST_VAR"] = "42.5" + assert 42.5 == get_env_float_non_negative("TEST_VAR", 0.0) + + mock_environ["TEST_VAR"] = "-1.2" + with pytest.raises(ValueError, match=".*Expected non negative `float`.*"): + get_env_float_non_negative("TEST_VAR", 5.0) + + def test_get_env_str(self, mock_environ): + mock_environ["TEST_STR"] = "hello" + assert get_env_str("TEST_STR", "default") == "hello" + + assert get_env_str("NONEXISTENT_VAR", "default_str") == "default_str" + + assert get_env_str("NONEXISTENT_VAR", None) is None + + def test_get_env_bool(self, mock_environ): + mock_environ["TEST_BOOL_TRUE"] = "1" + assert get_env_bool("TEST_BOOL_TRUE", "0") is True + + # Test with any other value (False) + mock_environ["TEST_BOOL_FALSE"] = "true" + assert get_env_bool("TEST_BOOL_FALSE", "0") is False + mock_environ["TEST_BOOL_FALSE2"] = "yes" + assert get_env_bool("TEST_BOOL_FALSE2", "0") is False + + # Test with default when environment variable not set + assert get_env_bool("NONEXISTENT_VAR", "1") is True + assert get_env_bool("NONEXISTENT_VAR", "0") is False + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-s", __file__])) From c3524cb1136a2b6222b4e3421c901da4ad983b65 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Fri, 8 Aug 2025 14:44:59 -0700 Subject: [PATCH 0582/1566] [train][tests] Reduce test flakiness by removing randomness (#55315) [test_gpu_examples](https://github.com/ray-project/ray/blob/master/python/ray/train/tests/test_gpu_examples.py#L105) has a 45% flake rate in our CI - this PR attempts to make it consistent with [this](https://docs.ray.io/en/latest/train/user-guides/reproducibility.html). If it still doesn't work I can try loosening the loss decrease requirement. Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../ray/train/examples/pytorch/torch_fashion_mnist_example.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/ray/train/examples/pytorch/torch_fashion_mnist_example.py b/python/ray/train/examples/pytorch/torch_fashion_mnist_example.py index ee7632d2d3a3..dc5de0d9004a 100644 --- a/python/ray/train/examples/pytorch/torch_fashion_mnist_example.py +++ b/python/ray/train/examples/pytorch/torch_fashion_mnist_example.py @@ -65,6 +65,8 @@ def forward(self, x): def train_func_per_worker(config: Dict): + ray.train.torch.enable_reproducibility() + lr = config["lr"] epochs = config["epochs"] batch_size = config["batch_size_per_worker"] From 4ef6d8ef980f10c61dc1e6c46f9f3d2647dba40b Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Fri, 8 Aug 2025 18:54:52 -0400 Subject: [PATCH 0583/1566] [Data] Bumping latest Arrow version to 21.0 (#55426) ## Why are these changes needed? 1. Bumping latest Arrow version to 21.0 2. Bumping Arrow versions used in other builds to at least 19.0 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .buildkite/data.rayci.yml | 8 ++++---- ci/docker/data.build.Dockerfile | 2 +- ci/docker/data.build.wanda.yaml | 2 +- ci/docker/datal.build.wanda.yaml | 2 +- python/ray/data/__init__.py | 35 -------------------------------- 5 files changed, 7 insertions(+), 42 deletions(-) diff --git a/.buildkite/data.rayci.yml b/.buildkite/data.rayci.yml index 986fe6185699..7ecfa13f8521 100644 --- a/.buildkite/data.rayci.yml +++ b/.buildkite/data.rayci.yml @@ -58,7 +58,7 @@ steps: --only-tags data_non_parallel depends_on: data9build - - label: ":database: data: arrow v20 tests" + - label: ":database: data: arrow v21 tests" tags: - python - data @@ -72,7 +72,7 @@ steps: --except-tags data_integration,doctest,data_non_parallel,dask,needs_credentials depends_on: datalbuild - - label: ":database: data: arrow v20 tests (data_non_parallel)" + - label: ":database: data: arrow v21 tests (data_non_parallel)" tags: - python - data @@ -84,7 +84,7 @@ steps: --only-tags data_non_parallel depends_on: datalbuild - - label: ":database: data: arrow v20 {{matrix.python}} tests ({{matrix.worker_id}})" + - label: ":database: data: arrow v21 {{matrix.python}} tests ({{matrix.worker_id}})" key: datal_python_tests if: build.pull_request.labels includes "continuous-build" || pipeline.id == "0189e759-8c96-4302-b6b5-b4274406bf89" || pipeline.id == "018f4f1e-1b73-4906-9802-92422e3badaa" tags: @@ -101,7 +101,7 @@ steps: python: ["3.12"] worker_id: ["0", "1"] - - label: ":database: data: arrow v20 {{matrix.python}} tests (data_non_parallel)" + - label: ":database: data: arrow v21 {{matrix.python}} tests (data_non_parallel)" key: datal_python_non_parallel_tests if: build.pull_request.labels includes "continuous-build" || pipeline.id == "0189e759-8c96-4302-b6b5-b4274406bf89" || pipeline.id == "018f4f1e-1b73-4906-9802-92422e3badaa" tags: diff --git a/ci/docker/data.build.Dockerfile b/ci/docker/data.build.Dockerfile index 14411d2e43ce..f418763c4a08 100644 --- a/ci/docker/data.build.Dockerfile +++ b/ci/docker/data.build.Dockerfile @@ -3,7 +3,7 @@ ARG DOCKER_IMAGE_BASE_BUILD=cr.ray.io/rayproject/oss-ci-base_ml FROM $DOCKER_IMAGE_BASE_BUILD -ARG ARROW_VERSION=14.* +ARG ARROW_VERSION=20.* ARG ARROW_MONGO_VERSION= ARG RAY_CI_JAVA_BUILD= diff --git a/ci/docker/data.build.wanda.yaml b/ci/docker/data.build.wanda.yaml index 00acb3401a43..1c2ec8e16a80 100644 --- a/ci/docker/data.build.wanda.yaml +++ b/ci/docker/data.build.wanda.yaml @@ -11,6 +11,6 @@ srcs: - python/requirements/ml/data-test-requirements.txt build_args: - DOCKER_IMAGE_BASE_BUILD=cr.ray.io/rayproject/oss-ci-base_ml-py$PYTHON - - ARROW_VERSION=17.* + - ARROW_VERSION=20.* tags: - cr.ray.io/rayproject/databuild-py$PYTHON diff --git a/ci/docker/datal.build.wanda.yaml b/ci/docker/datal.build.wanda.yaml index c805d47d93be..8a73b67fe5c7 100644 --- a/ci/docker/datal.build.wanda.yaml +++ b/ci/docker/datal.build.wanda.yaml @@ -10,6 +10,6 @@ srcs: - python/requirements/ml/data-requirements.txt - python/requirements/ml/data-test-requirements.txt build_args: - - ARROW_VERSION=20.* + - ARROW_VERSION=21.* tags: - cr.ray.io/rayproject/datalbuild diff --git a/python/ray/data/__init__.py b/python/ray/data/__init__.py index 724397b580df..c4962fd7db54 100644 --- a/python/ray/data/__init__.py +++ b/python/ray/data/__init__.py @@ -1,9 +1,6 @@ # Short term workaround for https://github.com/ray-project/ray/issues/32435 # Dataset has a hard dependency on pandas, so it doesn't need to be delayed. import pandas # noqa -from packaging.version import parse as parse_version - -from ray._private.arrow_utils import get_pyarrow_version from ray.data._internal.compute import ActorPoolStrategy from ray.data._internal.datasource.tfrecords_datasource import TFXReadOptions @@ -78,38 +75,6 @@ configure_logging() -try: - import pyarrow as pa - - # https://github.com/apache/arrow/pull/38608 deprecated `PyExtensionType`, and - # disabled it's deserialization by default. To ensure that users can load data - # written with earlier version of Ray Data, we enable auto-loading of serialized - # tensor extensions. - pyarrow_version = get_pyarrow_version() - if pyarrow_version is None: - # PyArrow is mocked in documentation builds. In this case, we don't need to do - # anything. - pass - else: - from ray._private.ray_constants import env_bool - - RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE = env_bool( - "RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE", False - ) - - if ( - pyarrow_version >= parse_version("14.0.1") - and RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE - ): - pa.PyExtensionType.set_auto_load(True) - # Import these arrow extension types to ensure that they are registered. - from ray.air.util.tensor_extensions.arrow import ( # noqa - ArrowTensorType, - ArrowVariableShapedTensorType, - ) -except ModuleNotFoundError: - pass - __all__ = [ "ActorPoolStrategy", From 9550af49e7d4b2a488dee5ce4a8d3c29471f2df1 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 8 Aug 2025 15:58:08 -0700 Subject: [PATCH 0584/1566] [release] Move logic to check whether to build custom BYOD image (#55397) This logic should be outside of this function. This PR: - Moves the logic to outside of the func for every place that calls it. - Turns the arg to be 3 separate ones so they can be called without a Test object (in order to do things like https://github.com/ray-project/ray/pull/55398 where Test object doesn't exist) --------- Signed-off-by: kevin Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/ray_release/byod/build.py | 20 +++++++++----------- release/ray_release/scripts/ray_bisect.py | 7 ++++++- release/ray_release/tests/test_byod_build.py | 6 +++++- 3 files changed, 20 insertions(+), 13 deletions(-) diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 14e9bb43311a..62ae1d62f3b3 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -30,13 +30,11 @@ REQUIREMENTS_ML_BYOD = "requirements_ml_byod" -def build_anyscale_custom_byod_image(test: Test) -> None: - if not test.require_custom_byod_image(): - logger.info(f"Test {test.get_name()} does not require a custom byod image") - return - byod_image = test.get_anyscale_byod_image() - if _image_exist(byod_image): - logger.info(f"Image {byod_image} already exists") +def build_anyscale_custom_byod_image( + image: str, base_image: str, post_build_script: str +) -> None: + if _image_exist(image): + logger.info(f"Image {image} already exists") return env = os.environ.copy() @@ -47,11 +45,11 @@ def build_anyscale_custom_byod_image(test: Test) -> None: "build", "--progress=plain", "--build-arg", - f"BASE_IMAGE={test.get_anyscale_base_byod_image()}", + f"BASE_IMAGE={base_image}", "--build-arg", - f"POST_BUILD_SCRIPT={test.get_byod_post_build_script()}", + f"POST_BUILD_SCRIPT={post_build_script}", "-t", - byod_image, + image, "-f", os.path.join(RELEASE_BYOD_DIR, "byod.custom.Dockerfile"), RELEASE_BYOD_DIR, @@ -59,7 +57,7 @@ def build_anyscale_custom_byod_image(test: Test) -> None: stdout=sys.stderr, env=env, ) - _validate_and_push(byod_image) + _validate_and_push(image) def build_anyscale_base_byod_images(tests: List[Test]) -> None: diff --git a/release/ray_release/scripts/ray_bisect.py b/release/ray_release/scripts/ray_bisect.py index 15ebd4c9d396..257519d620e4 100644 --- a/release/ray_release/scripts/ray_bisect.py +++ b/release/ray_release/scripts/ray_bisect.py @@ -178,7 +178,12 @@ def _trigger_test_run( ) -> None: os.environ["COMMIT_TO_TEST"] = commit build_anyscale_base_byod_images([test]) - build_anyscale_custom_byod_image(test) + if test.require_custom_byod_image(): + build_anyscale_custom_byod_image( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) for run in range(run_per_commit): step = get_step( copy.deepcopy(test), # avoid mutating the original test diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 7da9d5449a69..920b2c826e36 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -68,7 +68,11 @@ def _mock_check_call( name="name", cluster={"byod": {"post_build_script": "foo.sh"}}, ) - build_anyscale_custom_byod_image(test) + build_anyscale_custom_byod_image( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) assert "docker build --build-arg BASE_IMAGE=029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37 -t 029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37-c3fc5fc6d84cea4d7ab885c6cdc966542e" From dc7d4773ac3982f374080e9a9fcf93f7efd0486d Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Fri, 8 Aug 2025 16:35:46 -0700 Subject: [PATCH 0585/1566] [GPU Object][Benchmark] Add gpu object microbenchmark (#54834) ## Why are these changes needed? Add a microbenchmark to test the performance of gpu objects. ### Results from release tests ci (single-node) | Metric Name | Type | Value (items/sec) | |---------------------------------------------|-------------|--------------------------| | exec_p2p_transfer_object_shape_1 | THROUGHPUT | 424.5217122560026 | | exec_p2p_transfer_object_shape_1000 | THROUGHPUT | 421.87079467367795 | | exec_p2p_transfer_object_shape_1000000 | THROUGHPUT | 181.4515686771903 | | exec_p2p_transfer_object_shape_100000000 | THROUGHPUT | 1.0510924430806383 | | exec_p2p_transfer_gloo_shape_1 | THROUGHPUT | 267.3190192117893 | | exec_p2p_transfer_gloo_shape_1000 | THROUGHPUT | 271.0319429689622 | | exec_p2p_transfer_gloo_shape_1000000 | THROUGHPUT | 200.82337463786422 | | exec_p2p_transfer_gloo_shape_100000000 | THROUGHPUT | 2.015310019950591 | | exec_p2p_transfer_nccl_shape_1 | THROUGHPUT | 263.77604164914 | | exec_p2p_transfer_nccl_shape_1000 | THROUGHPUT | 265.6422339732912 | | exec_p2p_transfer_nccl_shape_1000000 | THROUGHPUT | 265.7118056964632 | | exec_p2p_transfer_nccl_shape_100000000 | THROUGHPUT | 75.71735847265235 | ### Results from release tests ci (multi-node) | Metric Name | Type | Value (items/sec) | |---------------------------------------------|-------------|--------------------------| | exec_p2p_transfer_object_shape_1 | THROUGHPUT | 392.1836712667833 | | exec_p2p_transfer_object_shape_1000 | THROUGHPUT | 382.3240564268482 | | exec_p2p_transfer_object_shape_1000000 | THROUGHPUT | 82.82879515727407 | | exec_p2p_transfer_object_shape_100000000 | THROUGHPUT | 0.7655403016847118 | | exec_p2p_transfer_gloo_shape_1 | THROUGHPUT | 241.2358531352103 | | exec_p2p_transfer_gloo_shape_1000 | THROUGHPUT | 242.25737205496745 | | exec_p2p_transfer_gloo_shape_1000000 | THROUGHPUT | 122.26387266013383 | | exec_p2p_transfer_gloo_shape_100000000 | THROUGHPUT | 1.333876524970271 | | exec_p2p_transfer_nccl_shape_1 | THROUGHPUT | 246.5324329670941 | | exec_p2p_transfer_nccl_shape_1000 | THROUGHPUT | 243.7458695468951 | | exec_p2p_transfer_nccl_shape_1000000 | THROUGHPUT | 219.19495443788446 | | exec_p2p_transfer_nccl_shape_100000000 | THROUGHPUT | 48.54625767199744 | ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- .../experimental/gpu_object_microbenchmark.py | 216 ++++++++++++++++++ release/release_tests.yaml | 34 +++ 2 files changed, 250 insertions(+) create mode 100644 release/microbenchmark/experimental/gpu_object_microbenchmark.py diff --git a/release/microbenchmark/experimental/gpu_object_microbenchmark.py b/release/microbenchmark/experimental/gpu_object_microbenchmark.py new file mode 100644 index 000000000000..67deb9cb05c7 --- /dev/null +++ b/release/microbenchmark/experimental/gpu_object_microbenchmark.py @@ -0,0 +1,216 @@ +import argparse +import os +from typing import Tuple, Optional + +import numpy as np +import torch +import ray +import json +from ray._private.ray_microbenchmark_helpers import timeit +from ray.experimental.collective import create_collective_group +from ray._private.test_utils import ( + kill_actor_and_wait_for_failure, +) +from dataclasses import dataclass + +DTYPE = torch.float16 +SHAPE = [(1,), (1_000,), (1_000_000,), (100_000_000,)] + + +@dataclass +class BackendConfig: + init_actor_kwargs: dict + send_method_kwargs: dict + device: torch.device + collective_group_backend: Optional[str] + + +BACKEND_CONFIG = { + "gloo": BackendConfig( + init_actor_kwargs={"enable_tensor_transport": True}, + send_method_kwargs={"tensor_transport": "gloo"}, + device=torch.device("cpu"), + collective_group_backend="torch_gloo", + ), + "object": BackendConfig( + init_actor_kwargs={}, + send_method_kwargs={}, + device=torch.device("cpu"), + collective_group_backend=None, + ), + "nccl": BackendConfig( + init_actor_kwargs={ + "num_gpus": 1, + "num_cpus": 0, + "enable_tensor_transport": True, + }, + send_method_kwargs={"tensor_transport": "nccl"}, + device=torch.device("cuda"), + collective_group_backend="nccl", + ), +} + + +@ray.remote +class Actor: + def __init__( + self, + shape: Tuple[int], + dtype: torch.dtype, + device: torch.device, + ) -> None: + self.device = device + self.dtype = dtype + self.shape = shape + + def send(self) -> torch.Tensor: + seed = int(np.random.randint(100)) + return torch.ones(self.shape, dtype=self.dtype, device=self.device) * seed + + def recv(self, tensor: torch.Tensor): + assert tensor.device.type == self.device.type + + +def _exec_p2p_transfer( + label: str, + shape: Tuple[int], + backend: str, + sender_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, + receiver_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, +): + if backend not in BACKEND_CONFIG: + raise ValueError(f"Unsupported backend: {backend}") + backend_config = BACKEND_CONFIG[backend] + device = backend_config.device + init_actor_kwargs = backend_config.init_actor_kwargs + send_method_kwargs = backend_config.send_method_kwargs + collective_group_backend = backend_config.collective_group_backend + sender = Actor.options(scheduling_strategy=sender_hint, **init_actor_kwargs).remote( + shape, DTYPE, device + ) + receiver = Actor.options( + scheduling_strategy=receiver_hint, **init_actor_kwargs + ).remote(shape, DTYPE, device) + if collective_group_backend is not None: + create_collective_group([sender, receiver], backend=collective_group_backend) + + def _run(): + ref = sender.send.options(**send_method_kwargs).remote() + ref2 = receiver.recv.remote(ref) + ray.get(ref2) + + results = timeit(label, _run) + + kill_actor_and_wait_for_failure(sender) + kill_actor_and_wait_for_failure(receiver) + + return results + + +def _exec_p2p_transfer_multiple_shapes( + label: str, + backend: str, + sender_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, + receiver_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, +): + temp_results = [] + for shape in SHAPE: + temp_results += _exec_p2p_transfer( + f"{label}_shape_{shape}", shape, backend, sender_hint, receiver_hint + ) + return temp_results + + +def _exec_p2p_transfer_object( + sender_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, + receiver_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, +): + return _exec_p2p_transfer_multiple_shapes( + "exec_p2p_transfer_object", "object", sender_hint, receiver_hint + ) + + +def _exec_p2p_transfer_gloo( + sender_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, + receiver_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, +): + return _exec_p2p_transfer_multiple_shapes( + "exec_p2p_transfer_gloo", "gloo", sender_hint, receiver_hint + ) + + +def _exec_p2p_transfer_nccl( + sender_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, + receiver_hint: ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy, +): + return _exec_p2p_transfer_multiple_shapes( + "exec_p2p_transfer_nccl", "nccl", sender_hint, receiver_hint + ) + + +def to_dict_key(key: str): + for r in [" ", ":", "-"]: + key = key.replace(r, "_") + for r in ["(", ")"]: + key = key.replace(r, "") + return key + + +def main() -> None: + p = argparse.ArgumentParser(description="GPU tensor transfer benchmark") + p.add_argument( + "--distributed", + action="store_true", + help="Whether this is running on more than one node", + ) + + args = p.parse_args() + ray.init(logging_level="ERROR") + + distributed = args.distributed + sender_hint, receiver_hint = None, None + if distributed: + local_node_id = ray.get_runtime_context().get_node_id() + node_ids = [node["NodeID"] for node in ray.nodes()] + remote_node_ids = [node_id for node_id in node_ids if node_id != local_node_id] + assert remote_node_ids + remote_node_id = remote_node_ids[0] + + # Pin sender on local node and receiver on the other node for consistent + # results. + sender_hint = ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy( + local_node_id, soft=False + ) + receiver_hint = ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy( + remote_node_id, soft=False + ) + + results = [] + results.extend(_exec_p2p_transfer_object(sender_hint, receiver_hint)) + results.extend(_exec_p2p_transfer_gloo(sender_hint, receiver_hint)) + results.extend(_exec_p2p_transfer_nccl(sender_hint, receiver_hint)) + result_dict = { + f"{to_dict_key(v[0])}": (v[1], v[2]) for v in results if v is not None + } + + perf_metrics = [ + { + "perf_metric_name": to_dict_key(v[0]), + "perf_metric_value": v[1], + "perf_metric_type": "THROUGHPUT", + } + for v in results + if v is not None + ] + result_dict["perf_metrics"] = perf_metrics + + test_output_json = os.environ.get( + "TEST_OUTPUT_JSON", "/tmp/microbenchmark_gpu_object.json" + ) + + with open(test_output_json, "wt") as f: + json.dump(result_dict, f) + + +if __name__ == "__main__": + main() diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 13b71af5e941..9edc6f66a9ac 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -3003,6 +3003,40 @@ timeout: 1800 script: python experimental/compiled_graph_gpu_microbenchmark.py --distributed +- name: gpu_object_GPU + group: core-daily-test + team: core + frequency: nightly + working_dir: microbenchmark + + stable: false + + cluster: + byod: + type: gpu + cluster_compute: experimental/compute_gpu_2_aws.yaml + + run: + timeout: 1800 + script: python experimental/gpu_object_microbenchmark.py + +- name: gpu_object_GPU_multinode + group: core-daily-test + team: core + frequency: nightly + working_dir: microbenchmark + + stable: false + + cluster: + byod: + type: gpu + cluster_compute: experimental/compute_gpu_2x1_aws.yaml + + run: + timeout: 1800 + script: python experimental/gpu_object_microbenchmark.py --distributed + - name: benchmark_worker_startup group: core-daily-test team: core From cb7648181bbf19b039c8eba4a79f05dffe7a16f8 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 8 Aug 2025 18:41:04 -0500 Subject: [PATCH 0586/1566] [core] Split `task_execution/` out from `transport/` (#55421) Splits out the task execution-related targets from `transport/` into `task_execution/`. In a future PR, I will rename `transport/` to `task_submission/` and clean up the dependency structure there as well. Along the way, I pruned a bunch of unnecessary dependencies. `task-execution/` no longer depends on anything in `transport/`, nor `reference_count.h` or `raylet_client.h`. This should help speed up incremental builds. The only external dependency on `task_execution/` is now `task_receiver.h` from `core_worker.h`. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 - python/ray/includes/libcoreworker.pxd | 2 +- src/ray/core_worker/BUILD.bazel | 156 ++---------------- src/ray/core_worker/actor_manager.h | 1 - src/ray/core_worker/core_worker.h | 2 +- .../core_worker/task_execution/BUILD.bazel | 148 +++++++++++++++++ .../actor_scheduling_queue.cc | 2 +- .../actor_scheduling_queue.h | 13 +- .../concurrency_group_manager.cc | 6 +- .../concurrency_group_manager.h | 0 .../core_worker/{ => task_execution}/fiber.h | 0 .../normal_scheduling_queue.cc | 2 +- .../normal_scheduling_queue.h | 4 +- .../out_of_order_actor_scheduling_queue.cc | 4 +- .../out_of_order_actor_scheduling_queue.h | 12 +- .../scheduling_queue.h | 2 - .../scheduling_util.cc | 2 +- .../scheduling_util.h | 2 +- .../task_receiver.cc | 4 +- .../task_receiver.h | 29 ++-- .../task_execution/test/BUILD.bazel | 67 ++++++++ .../test/concurrency_group_manager_test.cc | 5 +- .../test/fiber_state_test.cc | 2 +- .../test/scheduling_queue_test.cc | 11 +- .../test/task_receiver_test.cc | 6 +- .../test/thread_pool_test.cc | 2 +- .../thread_pool.cc | 2 +- .../thread_pool.h | 0 src/ray/core_worker/test/BUILD.bazel | 78 +-------- .../core_worker/test/actor_manager_test.cc | 1 - .../test/direct_actor_transport_mock_test.cc | 3 +- .../transport/normal_task_submitter.h | 1 - src/ray/internal/internal.h | 2 +- src/ray/raylet/BUILD.bazel | 1 - src/ray/raylet/worker_pool.cc | 1 - 35 files changed, 286 insertions(+), 288 deletions(-) create mode 100644 src/ray/core_worker/task_execution/BUILD.bazel rename src/ray/core_worker/{transport => task_execution}/actor_scheduling_queue.cc (99%) rename src/ray/core_worker/{transport => task_execution}/actor_scheduling_queue.h (92%) rename src/ray/core_worker/{transport => task_execution}/concurrency_group_manager.cc (96%) rename src/ray/core_worker/{transport => task_execution}/concurrency_group_manager.h (100%) rename src/ray/core_worker/{ => task_execution}/fiber.h (100%) rename src/ray/core_worker/{transport => task_execution}/normal_scheduling_queue.cc (97%) rename src/ray/core_worker/{transport => task_execution}/normal_scheduling_queue.h (94%) rename src/ray/core_worker/{transport => task_execution}/out_of_order_actor_scheduling_queue.cc (98%) rename src/ray/core_worker/{transport => task_execution}/out_of_order_actor_scheduling_queue.h (93%) rename src/ray/core_worker/{transport => task_execution}/scheduling_queue.h (95%) rename src/ray/core_worker/{transport => task_execution}/scheduling_util.cc (98%) rename src/ray/core_worker/{transport => task_execution}/scheduling_util.h (98%) rename src/ray/core_worker/{transport => task_execution}/task_receiver.cc (99%) rename src/ray/core_worker/{transport => task_execution}/task_receiver.h (89%) create mode 100644 src/ray/core_worker/task_execution/test/BUILD.bazel rename src/ray/core_worker/{ => task_execution}/test/concurrency_group_manager_test.cc (94%) rename src/ray/core_worker/{ => task_execution}/test/fiber_state_test.cc (98%) rename src/ray/core_worker/{ => task_execution}/test/scheduling_queue_test.cc (98%) rename src/ray/core_worker/{ => task_execution}/test/task_receiver_test.cc (98%) rename src/ray/core_worker/{ => task_execution}/test/thread_pool_test.cc (98%) rename src/ray/core_worker/{transport => task_execution}/thread_pool.cc (97%) rename src/ray/core_worker/{transport => task_execution}/thread_pool.h (100%) diff --git a/BUILD.bazel b/BUILD.bazel index 34851fedfb44..639822e80a6e 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -151,7 +151,6 @@ ray_cc_library( copts = COPTS, strip_include_prefix = "src", deps = [ - "//src/ray/core_worker:core_worker_common", "//src/ray/core_worker:core_worker_lib", ], alwayslink = 1, diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 8db47427a0a1..0d7b4fe68559 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -76,7 +76,7 @@ cdef extern from "ray/core_worker/profile_event.h" nogil: cdef cppclass CProfileEvent "ray::core::worker::ProfileEvent": void SetExtraData(const c_string &extra_data) -cdef extern from "ray/core_worker/fiber.h" nogil: +cdef extern from "ray/core_worker/task_execution/fiber.h" nogil: cdef cppclass CFiberEvent "ray::core::FiberEvent": CFiberEvent() void Wait() diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 17399254e01d..931ad1959ad0 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -14,7 +14,7 @@ ray_cc_library( deps = [ ":actor_handle", ":actor_manager", - ":core_worker_common", + ":common", ":core_worker_context", ":core_worker_options", ":experimental_mutable_object_manager", @@ -28,10 +28,10 @@ ray_cc_library( ":profile_event", ":reference_count", ":task_event_buffer", - ":task_receiver", "//src/ray/common/cgroup:cgroup_context", "//src/ray/common/cgroup:cgroup_manager", "//src/ray/common/cgroup:constants", + "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:raylet_ipc_client", @@ -63,7 +63,7 @@ ray_cc_library( name = "core_worker_options", hdrs = ["core_worker_options.h"], deps = [ - ":core_worker_common", + ":common", "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", @@ -93,20 +93,10 @@ ray_cc_library( ) ray_cc_library( - name = "scheduling_queue", - hdrs = ["transport/scheduling_queue.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/rpc:server_call", - ], -) - -ray_cc_library( - name = "core_worker_common", + name = "common", srcs = ["common.cc"], hdrs = ["common.h"], + visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", "//src/ray/common:ray_object", @@ -119,7 +109,7 @@ ray_cc_library( srcs = ["context.cc"], hdrs = ["context.h"], deps = [ - ":core_worker_common", + ":common", "//src/ray/common:runtime_env", "//src/ray/common:task_common", "@boost//:thread", @@ -161,10 +151,9 @@ ray_cc_library( ":actor_creator", ":actor_handle", ":actor_task_submitter", - ":core_worker_common", + ":common", ":core_worker_context", ":reference_count", - ":task_receiver", "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/gcs:gcs_pb_util", @@ -211,6 +200,7 @@ ray_cc_library( name = "task_event_buffer", srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], + visibility = [":__subpackages__"], deps = [ "//src/ray/common:asio", "//src/ray/common:id", @@ -346,120 +336,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "scheduling_util", - srcs = ["transport/scheduling_util.cc"], - hdrs = ["transport/scheduling_util.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/rpc:server_call", - ], -) - -ray_cc_library( - name = "normal_scheduling_queue", - srcs = ["transport/normal_scheduling_queue.cc"], - hdrs = ["transport/normal_scheduling_queue.h"], - deps = [ - "scheduling_queue", - ":scheduling_util", - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/rpc:server_call", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "actor_scheduling_queue", - srcs = ["transport/actor_scheduling_queue.cc"], - hdrs = ["transport/actor_scheduling_queue.h"], - deps = [ - ":concurrency_group_manager", - ":core_worker_fiber", - ":scheduling_queue", - ":scheduling_util", - ":task_event_buffer", - ":thread_pool", - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:server_call", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "concurrency_group_manager", - srcs = ["transport/concurrency_group_manager.cc"], - hdrs = ["transport/concurrency_group_manager.h"], - deps = [ - ":core_worker_fiber", - ":thread_pool", - "//src/ray/common:task_common", - ], -) - -ray_cc_library( - name = "out_of_order_actor_scheduling_queue", - srcs = ["transport/out_of_order_actor_scheduling_queue.cc"], - hdrs = ["transport/out_of_order_actor_scheduling_queue.h"], - deps = [ - ":concurrency_group_manager", - ":core_worker_fiber", - ":scheduling_queue", - ":scheduling_util", - ":task_event_buffer", - ":thread_pool", - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:server_call", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "task_receiver", - srcs = ["transport/task_receiver.cc"], - hdrs = ["transport/task_receiver.h"], - deps = [ - ":actor_creator", - ":actor_handle", - ":actor_scheduling_queue", - ":actor_task_submitter", - ":concurrency_group_manager", - ":core_worker_common", - ":core_worker_context", - ":core_worker_fiber", - ":dependency_resolver", - ":memory_store", - ":normal_scheduling_queue", - ":out_of_order_actor_scheduling_queue", - ":thread_pool", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:ray_object", - "//src/ray/common:task_common", - "//src/ray/rpc:server_call", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/synchronization", - ], -) - ray_cc_library( name = "experimental_mutable_object_manager", srcs = ["experimental_mutable_object_manager.cc"], @@ -505,7 +381,7 @@ ray_cc_library( srcs = ["generator_waiter.cc"], hdrs = ["generator_waiter.h"], deps = [ - ":core_worker_common", + ":common", "@com_google_absl//absl/synchronization", ], ) @@ -541,7 +417,7 @@ ray_cc_library( srcs = ["store_provider/plasma_store_provider.cc"], hdrs = ["store_provider/plasma_store_provider.h"], deps = [ - ":core_worker_common", + ":common", ":core_worker_context", ":reference_count", "//src/ray/common:buffer", @@ -568,7 +444,6 @@ ray_cc_library( ":lease_policy", ":memory_store", ":task_manager", - ":task_receiver", "//src/ray/common:id", "//src/ray/gcs:gcs_pb_util", "//src/ray/raylet_client:raylet_client_lib", @@ -576,14 +451,3 @@ ray_cc_library( "@com_google_absl//absl/base:core_headers", ], ) - -ray_cc_library( - name = "thread_pool", - srcs = ["transport/thread_pool.cc"], - hdrs = ["transport/thread_pool.h"], - deps = [ - "//src/ray/util:logging", - "@boost//:asio", - "@boost//:thread", - ], -) diff --git a/src/ray/core_worker/actor_manager.h b/src/ray/core_worker/actor_manager.h index 79041694a839..897aa45e5b5b 100644 --- a/src/ray/core_worker/actor_manager.h +++ b/src/ray/core_worker/actor_manager.h @@ -26,7 +26,6 @@ #include "ray/core_worker/actor_handle.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/transport/actor_task_submitter.h" -#include "ray/core_worker/transport/task_receiver.h" #include "ray/gcs/gcs_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 088346e92aba..25130d2658f8 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -45,8 +45,8 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/store_provider/plasma_store_provider.h" #include "ray/core_worker/task_event_buffer.h" +#include "ray/core_worker/task_execution/task_receiver.h" #include "ray/core_worker/transport/normal_task_submitter.h" -#include "ray/core_worker/transport/task_receiver.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client.h" #include "ray/pubsub/publisher.h" diff --git a/src/ray/core_worker/task_execution/BUILD.bazel b/src/ray/core_worker/task_execution/BUILD.bazel new file mode 100644 index 000000000000..6f432bd339ca --- /dev/null +++ b/src/ray/core_worker/task_execution/BUILD.bazel @@ -0,0 +1,148 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "fiber", + hdrs = ["fiber.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/util:logging", + "@boost//:fiber", + ], +) + +ray_cc_library( + name = "thread_pool", + srcs = ["thread_pool.cc"], + hdrs = ["thread_pool.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/util:logging", + "@boost//:asio", + "@boost//:thread", + ], +) + +ray_cc_library( + name = "concurrency_group_manager", + srcs = ["concurrency_group_manager.cc"], + hdrs = ["concurrency_group_manager.h"], + visibility = [":__subpackages__"], + deps = [ + ":fiber", + ":thread_pool", + "//src/ray/common:task_common", + ], +) + +ray_cc_library( + name = "scheduling_util", + srcs = ["scheduling_util.cc"], + hdrs = ["scheduling_util.h"], + visibility = ["//visibility:private"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/rpc:server_call", + ], +) + +ray_cc_library( + name = "scheduling_queue", + hdrs = ["scheduling_queue.h"], + visibility = ["//visibility:private"], + deps = [ + "//src/ray/common:task_common", + "//src/ray/rpc:server_call", + ], +) + +ray_cc_library( + name = "normal_scheduling_queue", + srcs = ["normal_scheduling_queue.cc"], + hdrs = ["normal_scheduling_queue.h"], + visibility = [":__subpackages__"], + deps = [ + "scheduling_queue", + ":scheduling_util", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/rpc:server_call", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "actor_scheduling_queue", + srcs = ["actor_scheduling_queue.cc"], + hdrs = ["actor_scheduling_queue.h"], + visibility = [":__subpackages__"], + deps = [ + ":concurrency_group_manager", + ":fiber", + ":scheduling_queue", + ":scheduling_util", + ":thread_pool", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/core_worker:task_event_buffer", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/rpc:server_call", + "@com_google_absl//absl/base:core_headers", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "out_of_order_actor_scheduling_queue", + srcs = ["out_of_order_actor_scheduling_queue.cc"], + hdrs = ["out_of_order_actor_scheduling_queue.h"], + visibility = [":__subpackages__"], + deps = [ + ":concurrency_group_manager", + ":fiber", + ":scheduling_queue", + ":scheduling_util", + ":thread_pool", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/core_worker:task_event_buffer", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/rpc:server_call", + "@com_google_absl//absl/base:core_headers", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "task_receiver", + srcs = ["task_receiver.cc"], + hdrs = ["task_receiver.h"], + visibility = [ + ":__subpackages__", + "//src/ray/core_worker:__pkg__", + ], + deps = [ + ":actor_scheduling_queue", + ":concurrency_group_manager", + ":fiber", + ":normal_scheduling_queue", + ":out_of_order_actor_scheduling_queue", + ":thread_pool", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:ray_object", + "//src/ray/common:task_common", + "//src/ray/core_worker:common", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/rpc:server_call", + "@com_google_absl//absl/base:core_headers", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/synchronization", + ], +) diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc similarity index 99% rename from src/ray/core_worker/transport/actor_scheduling_queue.cc rename to src/ray/core_worker/task_execution/actor_scheduling_queue.cc index f7938d46ee07..ebd201a4481b 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/actor_scheduling_queue.h" +#include "ray/core_worker/task_execution/actor_scheduling_queue.h" #include #include diff --git a/src/ray/core_worker/transport/actor_scheduling_queue.h b/src/ray/core_worker/task_execution/actor_scheduling_queue.h similarity index 92% rename from src/ray/core_worker/transport/actor_scheduling_queue.h rename to src/ray/core_worker/task_execution/actor_scheduling_queue.h index 7694b0b6472b..009d444a90e8 100644 --- a/src/ray/core_worker/transport/actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.h @@ -25,15 +25,14 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/common/task/task_spec.h" -#include "ray/core_worker/fiber.h" #include "ray/core_worker/task_event_buffer.h" -#include "ray/core_worker/transport/concurrency_group_manager.h" -#include "ray/core_worker/transport/scheduling_queue.h" -#include "ray/core_worker/transport/scheduling_util.h" -#include "ray/core_worker/transport/thread_pool.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/core_worker/task_execution/concurrency_group_manager.h" +#include "ray/core_worker/task_execution/fiber.h" +#include "ray/core_worker/task_execution/scheduling_queue.h" +#include "ray/core_worker/task_execution/scheduling_util.h" +#include "ray/core_worker/task_execution/thread_pool.h" #include "ray/rpc/server_call.h" -#include "src/ray/protobuf/core_worker.pb.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/concurrency_group_manager.cc b/src/ray/core_worker/task_execution/concurrency_group_manager.cc similarity index 96% rename from src/ray/core_worker/transport/concurrency_group_manager.cc rename to src/ray/core_worker/task_execution/concurrency_group_manager.cc index d3e7bf5b027a..b1eaf375637a 100644 --- a/src/ray/core_worker/transport/concurrency_group_manager.cc +++ b/src/ray/core_worker/task_execution/concurrency_group_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/concurrency_group_manager.h" +#include "ray/core_worker/task_execution/concurrency_group_manager.h" #include #include @@ -20,8 +20,8 @@ #include #include -#include "ray/core_worker/fiber.h" -#include "ray/core_worker/transport/thread_pool.h" +#include "ray/core_worker/task_execution/fiber.h" +#include "ray/core_worker/task_execution/thread_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/concurrency_group_manager.h b/src/ray/core_worker/task_execution/concurrency_group_manager.h similarity index 100% rename from src/ray/core_worker/transport/concurrency_group_manager.h rename to src/ray/core_worker/task_execution/concurrency_group_manager.h diff --git a/src/ray/core_worker/fiber.h b/src/ray/core_worker/task_execution/fiber.h similarity index 100% rename from src/ray/core_worker/fiber.h rename to src/ray/core_worker/task_execution/fiber.h diff --git a/src/ray/core_worker/transport/normal_scheduling_queue.cc b/src/ray/core_worker/task_execution/normal_scheduling_queue.cc similarity index 97% rename from src/ray/core_worker/transport/normal_scheduling_queue.cc rename to src/ray/core_worker/task_execution/normal_scheduling_queue.cc index 152f08f3ea93..b4fac81dfd25 100644 --- a/src/ray/core_worker/transport/normal_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/normal_scheduling_queue.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/normal_scheduling_queue.h" +#include "ray/core_worker/task_execution/normal_scheduling_queue.h" #include #include diff --git a/src/ray/core_worker/transport/normal_scheduling_queue.h b/src/ray/core_worker/task_execution/normal_scheduling_queue.h similarity index 94% rename from src/ray/core_worker/transport/normal_scheduling_queue.h rename to src/ray/core_worker/task_execution/normal_scheduling_queue.h index 2c2106f01c1f..f34e15c20fbc 100644 --- a/src/ray/core_worker/transport/normal_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/normal_scheduling_queue.h @@ -20,8 +20,8 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/common/task/task_spec.h" -#include "ray/core_worker/transport/scheduling_queue.h" -#include "ray/core_worker/transport/scheduling_util.h" +#include "ray/core_worker/task_execution/scheduling_queue.h" +#include "ray/core_worker/task_execution/scheduling_util.h" #include "ray/rpc/server_call.h" namespace ray { diff --git a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc similarity index 98% rename from src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc rename to src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc index e52aa732e0e7..7c6740b1898c 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc @@ -12,13 +12,15 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/out_of_order_actor_scheduling_queue.h" +#include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" #include #include #include #include +#include "src/ray/protobuf/common.pb.h" + namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h similarity index 93% rename from src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h rename to src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h index 5588e2af4913..24ef6e1d505c 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h @@ -24,15 +24,13 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/common/task/task_spec.h" -#include "ray/core_worker/fiber.h" #include "ray/core_worker/task_event_buffer.h" -#include "ray/core_worker/transport/concurrency_group_manager.h" -#include "ray/core_worker/transport/scheduling_queue.h" -#include "ray/core_worker/transport/scheduling_util.h" -#include "ray/core_worker/transport/thread_pool.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/core_worker/task_execution/concurrency_group_manager.h" +#include "ray/core_worker/task_execution/fiber.h" +#include "ray/core_worker/task_execution/scheduling_queue.h" +#include "ray/core_worker/task_execution/scheduling_util.h" +#include "ray/core_worker/task_execution/thread_pool.h" #include "ray/rpc/server_call.h" -#include "src/ray/protobuf/core_worker.pb.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/scheduling_queue.h b/src/ray/core_worker/task_execution/scheduling_queue.h similarity index 95% rename from src/ray/core_worker/transport/scheduling_queue.h rename to src/ray/core_worker/task_execution/scheduling_queue.h index 8d8e038c013f..ca370846f404 100644 --- a/src/ray/core_worker/transport/scheduling_queue.h +++ b/src/ray/core_worker/task_execution/scheduling_queue.h @@ -14,10 +14,8 @@ #pragma once -#include "ray/common/id.h" #include "ray/common/task/task_spec.h" #include "ray/rpc/server_call.h" -#include "src/ray/protobuf/core_worker.pb.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/scheduling_util.cc b/src/ray/core_worker/task_execution/scheduling_util.cc similarity index 98% rename from src/ray/core_worker/transport/scheduling_util.cc rename to src/ray/core_worker/task_execution/scheduling_util.cc index 951b834121c8..34dcb3dbe7ea 100644 --- a/src/ray/core_worker/transport/scheduling_util.cc +++ b/src/ray/core_worker/task_execution/scheduling_util.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/scheduling_util.h" +#include "ray/core_worker/task_execution/scheduling_util.h" #include #include diff --git a/src/ray/core_worker/transport/scheduling_util.h b/src/ray/core_worker/task_execution/scheduling_util.h similarity index 98% rename from src/ray/core_worker/transport/scheduling_util.h rename to src/ray/core_worker/task_execution/scheduling_util.h index 74fdf9a17cd5..6ae8c3149334 100644 --- a/src/ray/core_worker/transport/scheduling_util.h +++ b/src/ray/core_worker/task_execution/scheduling_util.h @@ -20,7 +20,7 @@ #include "ray/common/id.h" #include "ray/common/task/task_spec.h" #include "ray/rpc/server_call.h" -#include "src/ray/protobuf/core_worker.pb.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/task_receiver.cc b/src/ray/core_worker/task_execution/task_receiver.cc similarity index 99% rename from src/ray/core_worker/transport/task_receiver.cc rename to src/ray/core_worker/task_execution/task_receiver.cc index c0588fa3e60a..18236a0c72a4 100644 --- a/src/ray/core_worker/transport/task_receiver.cc +++ b/src/ray/core_worker/task_execution/task_receiver.cc @@ -12,13 +12,15 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/task_receiver.h" +#include "ray/core_worker/task_execution/task_receiver.h" #include #include #include #include +#include "ray/core_worker/common.h" + namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/task_receiver.h b/src/ray/core_worker/task_execution/task_receiver.h similarity index 89% rename from src/ray/core_worker/transport/task_receiver.h rename to src/ray/core_worker/task_execution/task_receiver.h index 544ecbbc3f80..9ae7ce3c4f7b 100644 --- a/src/ray/core_worker/transport/task_receiver.h +++ b/src/ray/core_worker/task_execution/task_receiver.h @@ -19,6 +19,7 @@ #include #include #include +#include #include #include @@ -29,23 +30,23 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/ray_object.h" -#include "ray/core_worker/actor_creator.h" -#include "ray/core_worker/actor_handle.h" -#include "ray/core_worker/common.h" -#include "ray/core_worker/fiber.h" -#include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/transport/actor_scheduling_queue.h" -#include "ray/core_worker/transport/actor_task_submitter.h" -#include "ray/core_worker/transport/concurrency_group_manager.h" -#include "ray/core_worker/transport/dependency_resolver.h" -#include "ray/core_worker/transport/normal_scheduling_queue.h" -#include "ray/core_worker/transport/out_of_order_actor_scheduling_queue.h" -#include "ray/core_worker/transport/thread_pool.h" -#include "ray/rpc/grpc_server.h" +#include "ray/core_worker/task_execution/actor_scheduling_queue.h" +#include "ray/core_worker/task_execution/concurrency_group_manager.h" +#include "ray/core_worker/task_execution/fiber.h" +#include "ray/core_worker/task_execution/normal_scheduling_queue.h" +#include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" +#include "ray/core_worker/task_execution/thread_pool.h" +#include "ray/rpc/server_call.h" +#include "src/ray/protobuf/core_worker.pb.h" namespace ray { namespace core { +using ResourceMappingType = + std::unordered_map>>; +using RepeatedObjectRefCount = + ::google::protobuf::RepeatedPtrField; + class TaskReceiver { public: using TaskHandler = std::function>> *dynamic_return_objects, std::vector> *streaming_generator_returns, - ReferenceCounter::ReferenceTableProto *borrower_refs, + RepeatedObjectRefCount *borrower_refs, bool *is_retryable_error, std::string *application_error)>; diff --git a/src/ray/core_worker/task_execution/test/BUILD.bazel b/src/ray/core_worker/task_execution/test/BUILD.bazel new file mode 100644 index 000000000000..48666ca86ce0 --- /dev/null +++ b/src/ray/core_worker/task_execution/test/BUILD.bazel @@ -0,0 +1,67 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "thread_pool_test", + srcs = ["thread_pool_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/core_worker/task_execution:thread_pool", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "fiber_state_test", + srcs = ["fiber_state_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/core_worker/task_execution:fiber", + "//src/ray/util:logging", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "concurrency_group_manager_test", + srcs = ["concurrency_group_manager_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:test_util", + "//src/ray/core_worker/task_execution:concurrency_group_manager", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "scheduling_queue_test", + srcs = ["scheduling_queue_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:test_util", + "//src/ray/core_worker/task_execution:actor_scheduling_queue", + "//src/ray/core_worker/task_execution:normal_scheduling_queue", + "//src/ray/core_worker/task_execution:out_of_order_actor_scheduling_queue", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "task_receiver_test", + srcs = ["task_receiver_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:asio", + "//src/ray/common:test_util", + "//src/ray/core_worker/task_execution:task_receiver", + "//src/ray/rpc:core_worker_client", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/core_worker/test/concurrency_group_manager_test.cc b/src/ray/core_worker/task_execution/test/concurrency_group_manager_test.cc similarity index 94% rename from src/ray/core_worker/test/concurrency_group_manager_test.cc rename to src/ray/core_worker/task_execution/test/concurrency_group_manager_test.cc index be893c596013..b12bb8876535 100644 --- a/src/ray/core_worker/test/concurrency_group_manager_test.cc +++ b/src/ray/core_worker/task_execution/test/concurrency_group_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/concurrency_group_manager.h" +#include "ray/core_worker/task_execution/concurrency_group_manager.h" #include #include @@ -20,7 +20,8 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_util.h" -#include "ray/core_worker/transport/task_receiver.h" +#include "ray/core_worker/task_execution/fiber.h" +#include "ray/core_worker/task_execution/thread_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/test/fiber_state_test.cc b/src/ray/core_worker/task_execution/test/fiber_state_test.cc similarity index 98% rename from src/ray/core_worker/test/fiber_state_test.cc rename to src/ray/core_worker/task_execution/test/fiber_state_test.cc index 42417754512f..1fc16651d9b8 100644 --- a/src/ray/core_worker/test/fiber_state_test.cc +++ b/src/ray/core_worker/task_execution/test/fiber_state_test.cc @@ -16,7 +16,7 @@ #include #include "gtest/gtest.h" -#include "ray/core_worker/fiber.h" +#include "ray/core_worker/task_execution/fiber.h" #include "ray/util/logging.h" namespace ray { diff --git a/src/ray/core_worker/test/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc similarity index 98% rename from src/ray/core_worker/test/scheduling_queue_test.cc rename to src/ray/core_worker/task_execution/test/scheduling_queue_test.cc index ab473f587670..057fde36ec89 100644 --- a/src/ray/core_worker/test/scheduling_queue_test.cc +++ b/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc @@ -11,9 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. - -#include "ray/core_worker/transport/scheduling_queue.h" - #include #include #include @@ -23,8 +20,9 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_util.h" -#include "ray/core_worker/transport/actor_scheduling_queue.h" -#include "ray/core_worker/transport/task_receiver.h" +#include "ray/core_worker/task_execution/actor_scheduling_queue.h" +#include "ray/core_worker/task_execution/normal_scheduling_queue.h" +#include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" // using namespace std::chrono_literals; using std::chrono_literals::operator""s; @@ -418,7 +416,8 @@ TEST(ActorSchedulingQueueTest, TestRetryInOrderSchedulingQueue) { } TEST(NormalSchedulingQueueTest, TestCancelQueuedTask) { - std::unique_ptr queue = std::make_unique(); + std::unique_ptr queue = + std::make_unique(); ASSERT_TRUE(queue->TaskQueueEmpty()); int n_ok = 0; int n_rej = 0; diff --git a/src/ray/core_worker/test/task_receiver_test.cc b/src/ray/core_worker/task_execution/test/task_receiver_test.cc similarity index 98% rename from src/ray/core_worker/test/task_receiver_test.cc rename to src/ray/core_worker/task_execution/test/task_receiver_test.cc index d8d619607555..915299250fc8 100644 --- a/src/ray/core_worker/test/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/test/task_receiver_test.cc @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/core_worker/task_execution/task_receiver.h" #include #include @@ -18,11 +19,10 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/core_worker/reference_count.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/task/task_spec.h" #include "ray/common/test_util.h" -#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/rpc/worker/core_worker_client.h" namespace ray { namespace core { @@ -139,7 +139,7 @@ class TaskReceiverTest : public ::testing::Test { std::vector>> *dynamic_return_objects, std::vector> *streaming_generator_returns, - ReferenceCounter::ReferenceTableProto *borrowed_refs) { + RepeatedObjectRefCount *borrowed_refs) { return Status::OK(); } diff --git a/src/ray/core_worker/test/thread_pool_test.cc b/src/ray/core_worker/task_execution/test/thread_pool_test.cc similarity index 98% rename from src/ray/core_worker/test/thread_pool_test.cc rename to src/ray/core_worker/task_execution/test/thread_pool_test.cc index f94a2027993f..8eac583cde42 100644 --- a/src/ray/core_worker/test/thread_pool_test.cc +++ b/src/ray/core_worker/task_execution/test/thread_pool_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/thread_pool.h" +#include "ray/core_worker/task_execution/thread_pool.h" #include diff --git a/src/ray/core_worker/transport/thread_pool.cc b/src/ray/core_worker/task_execution/thread_pool.cc similarity index 97% rename from src/ray/core_worker/transport/thread_pool.cc rename to src/ray/core_worker/task_execution/thread_pool.cc index e4a98dfdf7db..c4afb5484822 100644 --- a/src/ray/core_worker/transport/thread_pool.cc +++ b/src/ray/core_worker/task_execution/thread_pool.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/thread_pool.h" +#include "ray/core_worker/task_execution/thread_pool.h" #include #include diff --git a/src/ray/core_worker/transport/thread_pool.h b/src/ray/core_worker/task_execution/thread_pool.h similarity index 100% rename from src/ray/core_worker/transport/thread_pool.h rename to src/ray/core_worker/task_execution/thread_pool.h diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index da158232523e..e59a407c22e5 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -28,23 +28,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "task_receiver_test", - srcs = ["task_receiver_test.cc"], - tags = ["team:core"], - deps = [ - "//:ray_mock", - "//src/ray/common:asio", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/core_worker:normal_task_submitter", - "//src/ray/core_worker:reference_count", - "//src/ray/rpc:core_worker_client", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "actor_task_submitter_test", srcs = ["actor_task_submitter_test.cc"], @@ -72,7 +55,6 @@ ray_cc_test( "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", - "//src/ray/core_worker:task_receiver", "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -154,59 +136,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "scheduling_queue_test", - srcs = ["scheduling_queue_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:test_util", - "//src/ray/core_worker:actor_scheduling_queue", - "//src/ray/core_worker:core_worker_lib", - "//src/ray/core_worker:scheduling_queue", - "//src/ray/core_worker:task_receiver", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "thread_pool_test", - srcs = ["thread_pool_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/core_worker:thread_pool", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "concurrency_group_manager_test", - srcs = ["concurrency_group_manager_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:test_util", - "//src/ray/core_worker:concurrency_group_manager", - "//src/ray/core_worker:task_receiver", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "fiber_state_test", - srcs = ["fiber_state_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/core_worker:core_worker_fiber", - "//src/ray/util:logging", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "actor_submit_queue_test", size = "small", @@ -215,9 +144,7 @@ ray_cc_test( deps = [ "//src/ray/common:asio", "//src/ray/common:test_util", - "//src/ray/core_worker:actor_scheduling_queue", - "//src/ray/core_worker:scheduling_queue", - "//src/ray/core_worker:task_receiver", + "//src/ray/core_worker:out_of_order_actor_submit_queue", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -309,7 +236,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_util", - "//src/ray/core_worker:core_worker_common", + "//src/ray/core_worker:common", "//src/ray/core_worker:generator_waiter", "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", @@ -327,7 +254,6 @@ ray_cc_test( "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:actor_manager", - "//src/ray/core_worker:task_receiver", "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/test/actor_manager_test.cc b/src/ray/core_worker/test/actor_manager_test.cc index 51b076e45664..4856e3b6c214 100644 --- a/src/ray/core_worker/test/actor_manager_test.cc +++ b/src/ray/core_worker/test/actor_manager_test.cc @@ -23,7 +23,6 @@ #include "mock/ray/core_worker/reference_count.h" #include "ray/common/task/task_spec.h" #include "ray/common/test_util.h" -#include "ray/core_worker/transport/task_receiver.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" diff --git a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc index d22b886bf42f..8ea082cfa779 100644 --- a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc +++ b/src/ray/core_worker/test/direct_actor_transport_mock_test.cc @@ -11,10 +11,9 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/core_worker/transport/actor_task_submitter.h" // clang-format off -#include "ray/core_worker/transport/task_receiver.h" - #include #include "gmock/gmock.h" diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index 4518d0ef80c3..f07c90ee9e38 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -31,7 +31,6 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" #include "ray/core_worker/transport/dependency_resolver.h" -#include "ray/core_worker/transport/task_receiver.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/internal/internal.h b/src/ray/internal/internal.h index e9353150d998..20c89a4cc6c6 100644 --- a/src/ray/internal/internal.h +++ b/src/ray/internal/internal.h @@ -20,7 +20,7 @@ #include "ray/common/buffer.h" #include "ray/common/id.h" -#include "ray/core_worker/common.h" +#include "ray/core_worker/core_worker.h" #include "ray/stats/metric.h" // This header is used to warp some internal code so we can reduce suspicious diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index c1bb4857a89e..c06b8e9f3a4e 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -112,7 +112,6 @@ ray_cc_library( "//src/ray/common:runtime_env", "//src/ray/common:status", "//src/ray/common:task_common", - "//src/ray/core_worker:core_worker_common", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", "//src/ray/util:network_util", diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 5e3480c04a99..7058b96847b3 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -32,7 +32,6 @@ #include "ray/common/runtime_env_common.h" #include "ray/common/status.h" #include "ray/common/task/task_spec.h" -#include "ray/core_worker/common.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" From e1c48c9f05b64e6cd773f561a968bf64b0fb2451 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Fri, 8 Aug 2025 17:17:07 -0700 Subject: [PATCH 0587/1566] [core][gpu-objects] Always write to GPUObjectStore to avoid `_get_tensor_meta()` from hanging indefinitely. (#55433) Signed-off-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 14 +++++++------- python/ray/tests/test_gpu_objects_gloo.py | 14 ++++++++++++++ 2 files changed, 21 insertions(+), 7 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index ef0bbd2367d2..bc2ac1af8d63 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -648,13 +648,13 @@ def serialize_and_store_gpu_objects( self._torch_custom_serializer_registered = True serialized_val, tensors = self._serialize_and_retrieve_tensors(value) - if tensors: - obj_id = obj_id.decode("ascii") - worker = ray._private.worker.global_worker - gpu_object_manager = worker.gpu_object_manager - gpu_object_manager.gpu_object_store.add_object( - obj_id, tensors, is_primary=True - ) + # Regardless of whether `tensors` is empty, we always store the GPU object + # in the GPU object store. This ensures that `_get_tensor_meta` is not + # blocked indefinitely. + obj_id = obj_id.decode("ascii") + worker = ray._private.worker.global_worker + gpu_object_manager = worker.gpu_object_manager + gpu_object_manager.gpu_object_store.add_object(obj_id, tensors, is_primary=True) return serialized_val diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 21d18c4fdf03..a1b10fc4cb47 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -203,6 +203,20 @@ def test_p2p(ray_start_regular): assert ray.get(result) == pytest.approx(medium_tensor * 2) +def test_p2p_with_cpu_data(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + sender = actors[0] + receiver = actors[1] + + cpu_data = 123 + ref = sender.echo.remote(cpu_data) + result = receiver.double.remote(ref) + assert ray.get(result) == cpu_data * 2 + + def test_send_same_ref_to_same_actor_task_multiple_times(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] From df3d5b38ac2eb627d854838d25a8f8458575ba24 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Fri, 8 Aug 2025 17:31:10 -0700 Subject: [PATCH 0588/1566] [Core] Core Worker GetObjStatus GRPC Fault Tolerance (#54567) Updating GetObjectStatus to use the retryable grpc client to make it fault tolerant. Verifies that HandleGetObjectStatus is idempotent. GetObjectStatus is straightforward in that it uses the reference_counter to retrieve the owner of the object we want to look up, and then an async call to the memory store to get the status, both functions we would assume are idempotent. Added a python chaos test to verify fault tolerance and idempotency. Added a cpp unit for the core worker that calls HandleGetObjectStatus twice with the same request to verify idempotency. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + python/ray/tests/BUILD | 1 + python/ray/tests/test_cancel.py | 20 +- .../tests/test_core_worker_fault_tolerance.py | 39 ++ python/ray/tests/test_reference_counting.py | 10 - .../ray/common/asio/fake_periodical_runner.h | 44 ++ src/fakes/ray/ipc/raylet_ipc_client.h | 93 ++++ src/fakes/ray/pubsub/publisher.h | 43 ++ src/fakes/ray/pubsub/subscriber.h | 77 +++ src/fakes/ray/rpc/raylet/raylet_client.h | 4 + src/mock/ray/raylet_client/raylet_client.h | 5 + src/ray/common/asio/periodical_runner.h | 36 +- src/ray/core_worker/core_worker.cc | 14 +- src/ray/core_worker/core_worker.h | 24 +- src/ray/core_worker/core_worker_process.cc | 2 +- .../memory_store/memory_store.cc | 2 + .../store_provider/plasma_store_provider.cc | 6 +- src/ray/core_worker/test/BUILD.bazel | 17 + src/ray/core_worker/test/core_worker_test.cc | 485 ++++++++++++++++++ .../test/normal_task_submitter_test.cc | 64 +-- .../core_worker/test/reference_count_test.cc | 12 +- .../transport/normal_task_submitter.cc | 58 +-- .../transport/normal_task_submitter.h | 14 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 16 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 2 +- .../gcs_placement_group_scheduler.cc | 23 +- .../gcs_placement_group_scheduler.h | 6 +- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- src/ray/ipc/raylet_ipc_client.h | 156 ++++-- src/ray/protobuf/core_worker.proto | 3 +- src/ray/pubsub/publisher.h | 39 +- src/ray/raylet/node_manager.cc | 4 +- src/ray/raylet_client/raylet_client.h | 9 +- .../rpc/node_manager/node_manager_client.h | 3 + src/ray/rpc/worker/core_worker_client.h | 14 +- src/ray/rpc/worker/core_worker_client_pool.h | 2 +- 36 files changed, 1122 insertions(+), 230 deletions(-) create mode 100644 python/ray/tests/test_core_worker_fault_tolerance.py create mode 100644 src/fakes/ray/common/asio/fake_periodical_runner.h create mode 100644 src/fakes/ray/ipc/raylet_ipc_client.h create mode 100644 src/fakes/ray/pubsub/publisher.h create mode 100644 src/fakes/ray/pubsub/subscriber.h create mode 100644 src/ray/core_worker/test/core_worker_test.cc diff --git a/BUILD.bazel b/BUILD.bazel index 639822e80a6e..fb6f2b58e163 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -120,6 +120,7 @@ ray_cc_library( name = "ray_fakes", hdrs = glob(["src/fakes/**/*.h"]), deps = [ + "//src/ray/common:asio", "//src/ray/raylet_client:raylet_client_lib", ], ) diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 648f42885c93..a2b2f3b002a9 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -874,6 +874,7 @@ py_test_module_list( "test_actor_failures.py", "test_cancel.py", "test_chaos.py", + "test_core_worker_fault_tolerance.py", "test_failure.py", "test_failure_2.py", "test_generators.py", diff --git a/python/ray/tests/test_cancel.py b/python/ray/tests/test_cancel.py index 2fb9d9b625b7..5878853fcf08 100644 --- a/python/ray/tests/test_cancel.py +++ b/python/ray/tests/test_cancel.py @@ -15,7 +15,6 @@ RayTaskError, GetTimeoutError, WorkerCrashedError, - ObjectLostError, ) from ray.types import ObjectRef from ray._private.utils import DeferSigint @@ -26,7 +25,7 @@ def valid_exceptions(use_force): if use_force: - return (RayTaskError, TaskCancelledError, WorkerCrashedError, ObjectLostError) + return (RayTaskError, TaskCancelledError, WorkerCrashedError) else: return TaskCancelledError @@ -424,14 +423,24 @@ def wait_for(y): @pytest.mark.parametrize("use_force", [True, False]) -def test_remote_cancel(ray_start_regular, use_force): +def test_remote_cancel(ray_start_cluster, use_force): + # NOTE: We need to use a cluster with 2 nodes to test the remote cancel. + # Otherwise both wait_for and remote_wait will be scheduled on the same worker + # process and the cancel on wait_for will also kill remote_wait. This is because + # remote_wait also makes a remote call and returns instantly meaning it can + # be reused from the worker pool for wait_for. + cluster = ray_start_cluster + cluster.add_node(num_cpus=0) + ray.init(address=cluster.address) + cluster.add_node(num_cpus=1, resources={"worker1": 1}) + cluster.add_node(num_cpus=1, resources={"worker2": 1}) signaler = SignalActor.remote() - @ray.remote + @ray.remote(num_cpus=1, resources={"worker1": 1}) def wait_for(y): return ray.get(y[0]) - @ray.remote + @ray.remote(num_cpus=1, resources={"worker2": 1}) def remote_wait(sg): return [wait_for.remote([sg[0]])] @@ -439,7 +448,6 @@ def remote_wait(sg): outer = remote_wait.remote([sig]) inner = ray.get(outer)[0] - with pytest.raises(GetTimeoutError): ray.get(inner, timeout=1) diff --git a/python/ray/tests/test_core_worker_fault_tolerance.py b/python/ray/tests/test_core_worker_fault_tolerance.py new file mode 100644 index 000000000000..578feab855b6 --- /dev/null +++ b/python/ray/tests/test_core_worker_fault_tolerance.py @@ -0,0 +1,39 @@ +import ray +import pytest + + +@pytest.mark.parametrize("deterministic_failure", ["request", "response"]) +def test_get_object_status_rpc_retry_and_idempotency( + monkeypatch, shutdown_only, deterministic_failure +): + """Test that GetObjectStatus RPC retries work correctly. + Verify that the RPC is idempotent when network failures occur. + Cross_worker_access_task triggers GetObjectStatus because it does + not own objects and needs to request it from the driver. + """ + + monkeypatch.setenv( + "RAY_testing_rpc_failure", + "CoreWorkerService.grpc_client.GetObjectStatus=1:" + + ("100:0" if deterministic_failure == "request" else "0:100"), + ) + + ray.init() + + @ray.remote + def test_task(i): + return i * 2 + + @ray.remote + def cross_worker_access_task(objects): + data = ray.get(objects) + return data + + object_refs = [test_task.remote(i) for i in range(5)] + result_object_ref = cross_worker_access_task.remote(object_refs) + final_result = ray.get(result_object_ref) + assert final_result == [0, 2, 4, 6, 8] + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "-s"]) diff --git a/python/ray/tests/test_reference_counting.py b/python/ray/tests/test_reference_counting.py index 44f1f80cf56b..5999156204d9 100644 --- a/python/ray/tests/test_reference_counting.py +++ b/python/ray/tests/test_reference_counting.py @@ -278,7 +278,6 @@ def pending(ref, dep): def test_recursive_serialized_reference(one_cpu_100MiB_shared, use_ray_put, failure): @ray.remote(max_retries=1) def recursive(ref, signal, max_depth, depth=0): - ray.get(ref[0]) if depth == max_depth: ray.get(signal.wait.remote()) if failure: @@ -306,15 +305,6 @@ def recursive(ref, signal, max_depth, depth=0): # Fulfill the dependency, causing the tail task to finish. ray.get(signal.send.remote()) - try: - assert ray.get(tail_oid) is None - assert not failure - except ray.exceptions.OwnerDiedError: - # There is only 1 core, so the same worker will execute all `recursive` - # tasks. Therefore, if we kill the worker during the last task, its - # owner (the worker that executed the second-to-last task) will also - # have died. - assert failure # Reference should be gone, check that array gets evicted. _fill_object_store_and_get(array_oid_bytes, succeed=False) diff --git a/src/fakes/ray/common/asio/fake_periodical_runner.h b/src/fakes/ray/common/asio/fake_periodical_runner.h new file mode 100644 index 000000000000..d90bc99808e2 --- /dev/null +++ b/src/fakes/ray/common/asio/fake_periodical_runner.h @@ -0,0 +1,44 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include +#include + +#include "ray/common/asio/periodical_runner.h" + +namespace ray { + +class FakePeriodicalRunner : public PeriodicalRunnerInterface { + public: + void RunFnPeriodically(std::function fn, + uint64_t period_ms, + std::string name) override {} + + protected: + void DoRunFnPeriodically(std::function fn, + boost::posix_time::milliseconds period, + std::shared_ptr timer) override {} + + void DoRunFnPeriodicallyInstrumented(std::function fn, + boost::posix_time::milliseconds period, + std::shared_ptr timer, + std::string name) override {} +}; + +} // namespace ray diff --git a/src/fakes/ray/ipc/raylet_ipc_client.h b/src/fakes/ray/ipc/raylet_ipc_client.h new file mode 100644 index 000000000000..29fb02135bff --- /dev/null +++ b/src/fakes/ray/ipc/raylet_ipc_client.h @@ -0,0 +1,93 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/ipc/raylet_ipc_client.h" + +namespace ray { +namespace ipc { + +class FakeRayletIpcClient : public RayletIpcClientInterface { + public: + ray::Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *assigned_port) override { + return Status::OK(); + } + + ray::Status Disconnect(const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr + &creation_task_exception_pb_bytes) override { + return Status::OK(); + } + + Status AnnounceWorkerPortForWorker(int port) override { return Status::OK(); } + + Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) override { + return Status::OK(); + } + + ray::Status ActorCreationTaskDone() override { return Status::OK(); } + + ray::Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) override { + return Status::OK(); + } + + ray::StatusOr> Wait( + const std::vector &object_ids, + const std::vector &owner_addresses, + int num_returns, + int64_t timeout_milliseconds) override { + return absl::flat_hash_set(); + } + + ray::Status CancelGetRequest() override { return Status::OK(); } + + ray::Status NotifyDirectCallTaskBlocked() override { return Status::OK(); } + + ray::Status NotifyDirectCallTaskUnblocked() override { return Status::OK(); } + + ray::Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) override { + return Status::OK(); + } + + ray::Status PushError(const ray::JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) override { + return Status::OK(); + } + + ray::Status FreeObjects(const std::vector &object_ids, + bool local_only) override { + return Status::OK(); + } + + void SubscribePlasmaReady(const ObjectID &object_id, + const rpc::Address &owner_address) override {} +}; + +} // namespace ipc +} // namespace ray diff --git a/src/fakes/ray/pubsub/publisher.h b/src/fakes/ray/pubsub/publisher.h new file mode 100644 index 000000000000..b8daaf958f31 --- /dev/null +++ b/src/fakes/ray/pubsub/publisher.h @@ -0,0 +1,43 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/pubsub/publisher.h" + +namespace ray { +namespace pubsub { + +class FakePublisher : public Publisher { + public: + bool RegisterSubscription(const rpc::ChannelType channel_type, + const SubscriberID &subscriber_id, + const std::optional &key_id) override { + return true; + } + + void Publish(rpc::PubMessage pub_message) override {} + + void PublishFailure(const rpc::ChannelType channel_type, + const std::string &key_id) override {} + + bool UnregisterSubscription(const rpc::ChannelType channel_type, + const SubscriberID &subscriber_id, + const std::optional &key_id) override { + return true; + } +}; + +} // namespace pubsub +} // namespace ray diff --git a/src/fakes/ray/pubsub/subscriber.h b/src/fakes/ray/pubsub/subscriber.h new file mode 100644 index 000000000000..5abd3d33ba2d --- /dev/null +++ b/src/fakes/ray/pubsub/subscriber.h @@ -0,0 +1,77 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/pubsub/subscriber.h" + +namespace ray { +namespace pubsub { + +class FakeSubscriberClient : public SubscriberClientInterface { + public: + void PubsubLongPolling( + const rpc::PubsubLongPollingRequest &request, + const rpc::ClientCallback &callback) override {} + + void PubsubCommandBatch( + const rpc::PubsubCommandBatchRequest &request, + const rpc::ClientCallback &callback) override {} +}; + +class FakeSubscriber : public SubscriberInterface { + public: + bool Subscribe( + std::unique_ptr sub_message, + const rpc::ChannelType channel_type, + const rpc::Address &owner_address, + const std::string &key_id, + pubsub::SubscribeDoneCallback subscribe_done_callback, + pubsub::SubscriptionItemCallback subscription_callback, + pubsub::SubscriptionFailureCallback subscription_failure_callback) override { + return true; + } + + bool SubscribeChannel( + std::unique_ptr sub_message, + const rpc::ChannelType channel_type, + const rpc::Address &owner_address, + pubsub::SubscribeDoneCallback subscribe_done_callback, + pubsub::SubscriptionItemCallback subscription_callback, + pubsub::SubscriptionFailureCallback subscription_failure_callback) override { + return true; + } + + bool Unsubscribe(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::string &key_id) override { + return true; + } + + bool UnsubscribeChannel(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address) override { + return true; + } + + bool IsSubscribed(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::string &key_id) const override { + return false; + } + + std::string DebugString() const override { return "FakeSubscriber"; } +}; + +} // namespace pubsub +} // namespace ray diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 8672f20cb20f..3c2bcb70a8cd 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -128,6 +128,10 @@ class FakeRayletClient : public RayletClientInterface { void GetNodeStats( const rpc::GetNodeStatsRequest &request, const rpc::ClientCallback &callback) override {} + + void GlobalGC(const rpc::ClientCallback &callback) override {} + + int64_t GetPinsInFlight() const override { return 0; } }; } // namespace ray diff --git a/src/mock/ray/raylet_client/raylet_client.h b/src/mock/ray/raylet_client/raylet_client.h index e2dd61a9c88f..dc804ff16207 100644 --- a/src/mock/ray/raylet_client/raylet_client.h +++ b/src/mock/ray/raylet_client/raylet_client.h @@ -146,6 +146,11 @@ class MockRayletClientInterface : public RayletClientInterface { (const rpc::GetNodeStatsRequest &request, const rpc::ClientCallback &callback), (override)); + MOCK_METHOD(void, + GlobalGC, + (const rpc::ClientCallback &callback), + (override)); + MOCK_METHOD(int64_t, GetPinsInFlight, (), (const, override)); }; } // namespace ray diff --git a/src/ray/common/asio/periodical_runner.h b/src/ray/common/asio/periodical_runner.h index 9f05c9128b8e..3f2bf46c9206 100644 --- a/src/ray/common/asio/periodical_runner.h +++ b/src/ray/common/asio/periodical_runner.h @@ -26,6 +26,29 @@ namespace ray { +/// \class PeriodicalRunnerInterface +/// Interface for periodical runner functionality. +class PeriodicalRunnerInterface { + public: + virtual ~PeriodicalRunnerInterface() = default; + + virtual void RunFnPeriodically(std::function fn, + uint64_t period_ms, + std::string name) = 0; + + protected: + virtual void DoRunFnPeriodically( + std::function fn, + boost::posix_time::milliseconds period, + std::shared_ptr timer) = 0; + + virtual void DoRunFnPeriodicallyInstrumented( + std::function fn, + boost::posix_time::milliseconds period, + std::shared_ptr timer, + std::string name) = 0; +}; + /// \class PeriodicalRunner /// A periodical runner attached with an io_context. /// It can run functions with specified period. Each function is triggered by its timer. @@ -35,7 +58,8 @@ namespace ray { // Lifetime: once a PeriodicalRunner is destructed, all its timers are cancelled. The // scheduled asio tasks keep a weak_ptr to the PeriodicalRunner, and they won't run after // the PeriodicalRunner is destructed. -class PeriodicalRunner : public std::enable_shared_from_this { +class PeriodicalRunner : public PeriodicalRunnerInterface, + public std::enable_shared_from_this { public: static std::shared_ptr Create(instrumented_io_context &io_service) { // Sadly we can't use std::make_shared because the constructor is private. @@ -44,21 +68,23 @@ class PeriodicalRunner : public std::enable_shared_from_this { ~PeriodicalRunner(); - void RunFnPeriodically(std::function fn, uint64_t period_ms, std::string name) - ABSL_LOCKS_EXCLUDED(mutex_); + void RunFnPeriodically(std::function fn, + uint64_t period_ms, + std::string name) override ABSL_LOCKS_EXCLUDED(mutex_); private: explicit PeriodicalRunner(instrumented_io_context &io_service); void DoRunFnPeriodically(std::function fn, boost::posix_time::milliseconds period, - std::shared_ptr timer) + std::shared_ptr timer) override ABSL_LOCKS_EXCLUDED(mutex_); void DoRunFnPeriodicallyInstrumented(std::function fn, boost::posix_time::milliseconds period, std::shared_ptr timer, - std::string name) ABSL_LOCKS_EXCLUDED(mutex_); + std::string name) override + ABSL_LOCKS_EXCLUDED(mutex_); instrumented_io_context &io_service_; mutable absl::Mutex mutex_; diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index f6dc14ad420f..6cebf980861a 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -16,7 +16,6 @@ #include #include -#include #include #include #include @@ -270,24 +269,24 @@ CoreWorker::CoreWorker( std::unique_ptr client_call_manager, std::shared_ptr core_worker_client_pool, std::shared_ptr raylet_client_pool, - std::shared_ptr periodical_runner, + std::shared_ptr periodical_runner, std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr raylet_ipc_client, - std::shared_ptr local_raylet_rpc_client, + std::shared_ptr raylet_ipc_client, + std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, std::shared_ptr memory_store, std::shared_ptr plasma_store_provider, - std::shared_ptr + std::shared_ptr experimental_mutable_object_provider, std::unique_ptr future_resolver, std::shared_ptr task_manager, std::shared_ptr actor_creator, std::unique_ptr actor_task_submitter, - std::unique_ptr object_info_publisher, - std::unique_ptr object_info_subscriber, + std::unique_ptr object_info_publisher, + std::unique_ptr object_info_subscriber, std::shared_ptr lease_request_rate_limiter, std::unique_ptr normal_task_submitter, std::unique_ptr object_recovery_manager, @@ -3493,6 +3492,7 @@ void CoreWorker::HandleRayletNotifyGCSRestart( send_reply_callback(Status::OK(), nullptr, nullptr); } +// HandleGetObjectStatus is expected to be idempotent void CoreWorker::HandleGetObjectStatus(rpc::GetObjectStatusRequest request, rpc::GetObjectStatusReply *reply, rpc::SendReplyCallback send_reply_callback) { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 25130d2658f8..003a9954b683 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -176,24 +176,24 @@ class CoreWorker { std::unique_ptr client_call_manager, std::shared_ptr core_worker_client_pool, std::shared_ptr raylet_client_pool, - std::shared_ptr periodical_runner, + std::shared_ptr periodical_runner, std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr raylet_ipc_client, - std::shared_ptr local_raylet_rpc_client, + std::shared_ptr raylet_ipc_client, + std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, std::shared_ptr memory_store, std::shared_ptr plasma_store_provider, - std::shared_ptr + std::shared_ptr experimental_mutable_object_provider, std::unique_ptr future_resolver, std::shared_ptr task_manager, std::shared_ptr actor_creator, std::unique_ptr actor_task_submitter, - std::unique_ptr object_info_publisher, - std::unique_ptr object_info_subscriber, + std::unique_ptr object_info_publisher, + std::unique_ptr object_info_subscriber, std::shared_ptr lease_request_rate_limiter, std::unique_ptr normal_task_submitter, std::unique_ptr object_recovery_manager, @@ -1725,7 +1725,7 @@ class CoreWorker { std::shared_ptr raylet_client_pool_; /// The runner to run function periodically. - std::shared_ptr periodical_runner_; + std::shared_ptr periodical_runner_; /// RPC server used to receive tasks to execute. std::unique_ptr core_worker_server_; @@ -1740,10 +1740,10 @@ class CoreWorker { std::shared_ptr gcs_client_; // Client to the local Raylet that goes over a local socket. - std::shared_ptr raylet_ipc_client_; + std::shared_ptr raylet_ipc_client_; // Client to the local Raylet that goes over a gRPC connection. - std::shared_ptr local_raylet_rpc_client_; + std::shared_ptr local_raylet_rpc_client_; // Thread that runs a boost::asio service to process IO events. boost::thread &io_thread_; @@ -1762,7 +1762,7 @@ class CoreWorker { std::shared_ptr plasma_store_provider_; /// Manages mutable objects that must be transferred across nodes. - std::shared_ptr + std::shared_ptr experimental_mutable_object_provider_; std::unique_ptr future_resolver_; @@ -1781,10 +1781,10 @@ class CoreWorker { std::unique_ptr actor_task_submitter_; // A class to publish object status from other raylets/workers. - std::unique_ptr object_info_publisher_; + std::unique_ptr object_info_publisher_; // A class to subscribe object status from other raylets/workers. - std::unique_ptr object_info_subscriber_; + std::unique_ptr object_info_subscriber_; // Rate limit the concurrent pending lease requests for submitting // tasks. diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 2f419294ae2c..a0b5109fc8da 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -211,7 +211,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( worker_context->MaybeInitializeJobInfo(worker_context->GetCurrentJobID(), job_config); } - auto raylet_ipc_client = std::make_shared( + auto raylet_ipc_client = std::make_shared( io_service_, options.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); NodeID local_raylet_id; diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index 05c69c406a28..e6b58485728f 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -237,6 +237,8 @@ void CoreWorkerMemoryStore::Put(const RayObject &object, const ObjectID &object_ if (!async_callbacks.empty()) { object_entry->SetAccessed(); + } else { + return; } } diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index ab9802578471..caaa2b30ef34 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -255,18 +255,18 @@ Status CoreWorkerPlasmaStoreProvider::GetExperimentalMutableObject( return store_client_->GetExperimentalMutableObject(object_id, mutable_object); } -Status UnblockIfNeeded(const std::shared_ptr &client, +Status UnblockIfNeeded(const std::shared_ptr &raylet_client, const WorkerContext &ctx) { if (ctx.CurrentTaskIsDirectCall()) { // NOTE: for direct call actors, we still need to issue an unblock IPC to release // get subscriptions, even if the worker isn't blocked. if (ctx.ShouldReleaseResourcesOnBlockingCalls() || ctx.CurrentActorIsDirectCall()) { - return client->NotifyDirectCallTaskUnblocked(); + return raylet_client->NotifyDirectCallTaskUnblocked(); } else { return Status::OK(); // We don't need to release resources. } } else { - return client->CancelGetRequest(); + return raylet_client->CancelGetRequest(); } } diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index e59a407c22e5..c2b327301160 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -302,3 +302,20 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "core_worker_test", + size = "small", + srcs = ["core_worker_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_fakes", + "//:ray_mock", + "//src/ray/common:test_util", + "//src/ray/core_worker:core_worker_lib", + "//src/ray/core_worker:memory_store", + "//src/ray/core_worker:reference_count", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc new file mode 100644 index 000000000000..1979d217aeac --- /dev/null +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -0,0 +1,485 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/core_worker.h" + +#include +#include + +#include +#include +#include +#include +#include +#include + +#include "fakes/ray/common/asio/fake_periodical_runner.h" +#include "fakes/ray/ipc/raylet_ipc_client.h" +#include "fakes/ray/pubsub/publisher.h" +#include "fakes/ray/pubsub/subscriber.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "ray/core_worker/actor_creator.h" +#include "ray/core_worker/actor_manager.h" +#include "ray/core_worker/context.h" +#include "ray/core_worker/core_worker_rpc_proxy.h" +#include "ray/core_worker/future_resolver.h" +#include "ray/core_worker/object_recovery_manager.h" +#include "ray/core_worker/reference_count.h" +#include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/core_worker/transport/actor_task_submitter.h" +#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/rpc/worker/core_worker_client_pool.h" + +namespace ray { +namespace core { + +using ::testing::_; +using ::testing::InvokeWithoutArgs; +using ::testing::Return; + +class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { + public: + CoreWorkerHandleGetObjectStatusTest() + : io_work_(io_service_.get_executor()), + task_execution_service_work_(task_execution_service_.get_executor()) { + CoreWorkerOptions options; + options.worker_type = WorkerType::WORKER; + options.language = Language::PYTHON; + options.node_ip_address = "127.0.0.1"; + options.raylet_ip_address = "127.0.0.1"; + options.task_execution_callback = + [](const rpc::Address &caller_address, + TaskType task_type, + const std::string task_name, + const RayFunction &ray_function, + const std::unordered_map &required_resources, + const std::vector> &args, + const std::vector &arg_refs, + const std::string &debugger_breakpoint, + const std::string &serialized_retry_exception_allowlist, + std::vector>> *returns, + std::vector>> *dynamic_returns, + std::vector> *streaming_generator_returns, + std::shared_ptr &creation_task_exception_pb_bytes, + bool *is_retryable_error, + std::string *application_error, + const std::vector &defined_concurrency_groups, + const std::string name_of_concurrency_group_to_execute, + bool is_reattempt, + bool is_streaming_generator, + bool retry_exception, + int64_t generator_backpressure_num_objects, + const rpc::TensorTransport &tensor_transport) -> Status { + return Status::OK(); + }; + + auto client_call_manager = + std::make_unique(io_service_, /*record_stats=*/false); + + auto core_worker_client_pool = + std::make_shared([](const rpc::Address &) { + return std::make_shared(); + }); + + auto raylet_client_pool = std::make_shared( + [](const rpc::Address &) { return std::make_shared(); }); + + auto mock_gcs_client = std::make_shared(); + + auto fake_local_raylet_rpc_client = std::make_shared(); + + auto fake_raylet_ipc_client = std::make_shared(); + + auto service_handler = std::make_unique(); + auto worker_context = std::make_unique( + WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(1)); + auto core_worker_server = + std::make_unique(WorkerTypeString(options.worker_type), 0, true); + core_worker_server->RegisterService( + std::make_unique(io_service_, *service_handler), + false /* token_auth */); + core_worker_server->Run(); + + rpc::Address rpc_address; + rpc_address.set_ip_address(options.node_ip_address); + rpc_address.set_port(core_worker_server->GetPort()); + rpc_address.set_raylet_id(NodeID::FromRandom().Binary()); + rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); + + auto fake_object_info_publisher = std::make_unique(); + auto fake_object_info_subscriber = std::make_unique(); + + reference_counter_ = std::make_shared( + rpc_address, + fake_object_info_publisher.get(), + fake_object_info_subscriber.get(), + [](const NodeID &) { return false; }, + false); + + memory_store_ = std::make_shared( + io_service_, reference_counter_.get(), nullptr); + + auto future_resolver = std::make_unique( + memory_store_, + reference_counter_, + [](const ObjectID &object_id, + const absl::flat_hash_set &locations, + uint64_t object_size) {}, + core_worker_client_pool, + rpc_address); + + auto task_event_buffer = std::make_unique( + std::make_unique(), + std::make_unique(0, *client_call_manager)); + + auto task_manager = std::make_shared( + *memory_store_, + *reference_counter_, + [](const RayObject &object, const ObjectID &object_id) { return Status::OK(); }, + [](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) {}, + [](const TaskSpecification &spec) { return false; }, + [](const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) { return Status::OK(); }, + RayConfig::instance().max_lineage_bytes(), + *task_event_buffer, + [](const ActorID &actor_id) { + return std::make_shared(); + }, + mock_gcs_client); + + auto object_recovery_manager = std::make_unique( + rpc_address, + raylet_client_pool, + [](const ObjectID &object_id, const ObjectLookupCallback &callback) { + return Status::OK(); + }, + *task_manager, + *reference_counter_, + *memory_store_, + [](const ObjectID &object_id, rpc::ErrorType reason, bool pin_object) {}); + + auto lease_policy = std::unique_ptr( + std::make_unique(rpc_address)); + + auto lease_request_rate_limiter = std::make_shared(10); + + auto actor_creator = std::make_shared(mock_gcs_client); + + auto normal_task_submitter = std::make_unique( + rpc_address, + fake_local_raylet_rpc_client, + core_worker_client_pool, + raylet_client_pool, + std::move(lease_policy), + memory_store_, + *task_manager, + NodeID::Nil(), + WorkerType::WORKER, + 10000, + actor_creator, + JobID::Nil(), + lease_request_rate_limiter, + [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, + boost::asio::steady_timer(io_service_)); + + auto actor_task_submitter = std::make_unique( + *core_worker_client_pool, + *memory_store_, + *task_manager, + *actor_creator, + /*tensor_transport_getter=*/ + [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, + [](const ActorID &actor_id, uint64_t num_queued) { return Status::OK(); }, + io_service_, + reference_counter_); + + auto actor_manager = std::make_unique( + mock_gcs_client, *actor_task_submitter, *reference_counter_); + + auto periodical_runner = std::make_unique(); + + // TODO(joshlee): Dependency inject socket into plasma_store_provider_ so we can + // create a real plasma_store_provider_ and mutable_object_provider_ + core_worker_ = std::make_shared(std::move(options), + std::move(worker_context), + io_service_, + std::move(client_call_manager), + std::move(core_worker_client_pool), + std::move(raylet_client_pool), + std::move(periodical_runner), + std::move(core_worker_server), + std::move(rpc_address), + std::move(mock_gcs_client), + std::move(fake_raylet_ipc_client), + std::move(fake_local_raylet_rpc_client), + io_thread_, + reference_counter_, + memory_store_, + nullptr, // plasma_store_provider_ + nullptr, // mutable_object_provider_ + std::move(future_resolver), + std::move(task_manager), + std::move(actor_creator), + std::move(actor_task_submitter), + std::move(fake_object_info_publisher), + std::move(fake_object_info_subscriber), + std::move(lease_request_rate_limiter), + std::move(normal_task_submitter), + std::move(object_recovery_manager), + std::move(actor_manager), + task_execution_service_, + std::move(task_event_buffer), + getpid()); + } + + protected: + instrumented_io_context io_service_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + instrumented_io_context task_execution_service_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + boost::asio::executor_work_guard io_work_; + boost::asio::executor_work_guard + task_execution_service_work_; + + boost::thread io_thread_; + + std::shared_ptr reference_counter_; + std::shared_ptr memory_store_; + std::shared_ptr core_worker_; +}; + +std::shared_ptr MakeRayObject(const std::string &data_str, + const std::string &metadata_str) { + auto data = std::make_shared( + reinterpret_cast(const_cast(data_str.data())), + data_str.size(), + true); + auto metadata = std::make_shared( + reinterpret_cast(const_cast(metadata_str.data())), + metadata_str.size(), + true); + return std::make_shared(data, metadata, std::vector()); +} + +TEST_F(CoreWorkerHandleGetObjectStatusTest, IdempotencyTest) { + auto object_id = ObjectID::FromRandom(); + auto ray_object = MakeRayObject("test_data", "meta"); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + memory_store_->Put(*ray_object, object_id); + + rpc::GetObjectStatusRequest request; + request.set_object_id(object_id.Binary()); + request.set_owner_worker_id(core_worker_->GetWorkerID().Binary()); + + std::promise promise1; + auto future1 = promise1.get_future(); + rpc::GetObjectStatusReply reply1; + + std::promise promise2; + auto future2 = promise2.get_future(); + rpc::GetObjectStatusReply reply2; + + // Make both requests with the same parameters to test idempotency + core_worker_->HandleGetObjectStatus( + request, + &reply1, + [&promise1](Status s, + std::function success, + std::function failure) { promise1.set_value(s); }); + + core_worker_->HandleGetObjectStatus( + request, + &reply2, + [&promise2](Status s, + std::function success, + std::function failure) { promise2.set_value(s); }); + + io_service_.run_one(); + io_service_.run_one(); + + ASSERT_TRUE(future1.get().ok()); + ASSERT_TRUE(future2.get().ok()); + EXPECT_EQ(reply1.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ(reply2.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ("test_data", reply1.object().data()); + EXPECT_EQ("test_data", reply2.object().data()); + EXPECT_EQ("meta", reply1.object().metadata()); + EXPECT_EQ("meta", reply2.object().metadata()); +} + +TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectPutAfterFirstRequest) { + auto object_id = ObjectID::FromRandom(); + auto ray_object = MakeRayObject("test_data", "meta"); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + rpc::GetObjectStatusRequest request; + request.set_object_id(object_id.Binary()); + request.set_owner_worker_id(core_worker_->GetWorkerID().Binary()); + + std::promise promise1; + auto future1 = promise1.get_future(); + rpc::GetObjectStatusReply reply1; + + core_worker_->HandleGetObjectStatus( + request, + &reply1, + [&promise1](Status s, + std::function success, + std::function failure) { promise1.set_value(s); }); + + // Verify that the callback hasn't been called yet since the object doesn't exist + ASSERT_FALSE(io_service_.poll_one()); + + memory_store_->Put(*ray_object, object_id); + + io_service_.run_one(); + + ASSERT_TRUE(future1.get().ok()); + EXPECT_EQ(reply1.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ("test_data", reply1.object().data()); + EXPECT_EQ("meta", reply1.object().metadata()); + + std::promise promise2; + auto future2 = promise2.get_future(); + rpc::GetObjectStatusReply reply2; + + // Make second request after object is already available + core_worker_->HandleGetObjectStatus( + request, + &reply2, + [&promise2](Status s, + std::function success, + std::function failure) { promise2.set_value(s); }); + + io_service_.run_one(); + + ASSERT_TRUE(future2.get().ok()); + EXPECT_EQ(reply2.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ("test_data", reply2.object().data()); + EXPECT_EQ("meta", reply2.object().metadata()); +} + +TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectFreedBetweenRequests) { + auto object_id = ObjectID::FromRandom(); + auto ray_object = MakeRayObject("test_data", "meta"); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + memory_store_->Put(*ray_object, object_id); + + rpc::GetObjectStatusRequest request; + request.set_object_id(object_id.Binary()); + request.set_owner_worker_id(core_worker_->GetWorkerID().Binary()); + + std::promise promise1; + auto future1 = promise1.get_future(); + rpc::GetObjectStatusReply reply1; + + core_worker_->HandleGetObjectStatus( + request, + &reply1, + [&promise1](Status s, + std::function success, + std::function failure) { promise1.set_value(s); }); + + io_service_.run_one(); + + ASSERT_TRUE(future1.get().ok()); + EXPECT_EQ(reply1.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ("test_data", reply1.object().data()); + EXPECT_EQ("meta", reply1.object().metadata()); + + std::vector objects_to_free = {object_id}; + memory_store_->Delete(objects_to_free); + + std::promise promise2; + auto future2 = promise2.get_future(); + rpc::GetObjectStatusReply reply2; + + core_worker_->HandleGetObjectStatus( + request, + &reply2, + [&promise2](Status s, + std::function success, + std::function failure) { promise2.set_value(s); }); + + // Object is freed, so the callback is stored until the object is put back in the store + ASSERT_FALSE(io_service_.poll_one()); +} + +TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectOutOfScope) { + auto object_id = ObjectID::FromRandom(); + auto ray_object = MakeRayObject("test_data", "meta"); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + memory_store_->Put(*ray_object, object_id); + + rpc::GetObjectStatusRequest request; + request.set_object_id(object_id.Binary()); + request.set_owner_worker_id(core_worker_->GetWorkerID().Binary()); + + std::promise promise1; + auto future1 = promise1.get_future(); + rpc::GetObjectStatusReply reply1; + + core_worker_->HandleGetObjectStatus( + request, + &reply1, + [&promise1](Status s, + std::function success, + std::function failure) { promise1.set_value(s); }); + + io_service_.run_one(); + + ASSERT_TRUE(future1.get().ok()); + EXPECT_EQ(reply1.status(), rpc::GetObjectStatusReply::CREATED); + EXPECT_EQ("test_data", reply1.object().data()); + EXPECT_EQ("meta", reply1.object().metadata()); + + // Simulate object going out of scope by removing the local reference + reference_counter_->RemoveLocalReference(object_id, nullptr); + + std::promise promise2; + auto future2 = promise2.get_future(); + rpc::GetObjectStatusReply reply2; + + core_worker_->HandleGetObjectStatus( + request, + &reply2, + [&promise2](Status s, + std::function success, + std::function failure) { promise2.set_value(s); }); + + // Not calling io_service_.run_one() because the callback is called on the main thread + ASSERT_TRUE(future2.get().ok()); + EXPECT_EQ(reply2.status(), rpc::GetObjectStatusReply::OUT_OF_SCOPE); +} + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/test/normal_task_submitter_test.cc index c53997aced6e..cb1ae15f7791 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/test/normal_task_submitter_test.cc @@ -495,18 +495,18 @@ class NormalTaskSubmitterTest : public testing::Test { std::shared_ptr rate_limiter, WorkerType worker_type = WorkerType::WORKER, std::function(const rpc::Address &)> - lease_client_factory = nullptr, + raylet_client_factory = nullptr, std::shared_ptr custom_memory_store = nullptr, int64_t lease_timeout_ms = kLongTimeout, NodeID local_raylet_id = NodeID::Nil()) { if (custom_memory_store != nullptr) { store = custom_memory_store; } - if (lease_client_factory == nullptr) { + if (raylet_client_factory == nullptr) { raylet_client_pool = std::make_shared( [](const rpc::Address &) { return std::make_shared(); }); } else { - raylet_client_pool = std::make_shared(lease_client_factory); + raylet_client_pool = std::make_shared(raylet_client_factory); } return NormalTaskSubmitter( address, @@ -974,7 +974,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) auto submitter = CreateNormalTaskSubmitter( rateLimiter, WorkerType::WORKER, - /*lease_client_factory*/ [&](const rpc::Address &addr) { return raylet_client; }); + /*raylet_client_factory*/ [&](const rpc::Address &addr) { return raylet_client; }); std::vector tasks; for (int i = 0; i < 2 * concurrency; i++) { @@ -1317,17 +1317,17 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { } TEST_F(NormalTaskSubmitterTest, TestSpillback) { - absl::flat_hash_map> remote_lease_clients; - auto lease_client_factory = [&remote_lease_clients](const rpc::Address &addr) { - RAY_CHECK(remote_lease_clients.count(addr.port()) == 0); + absl::flat_hash_map> remote_raylet_clients; + auto raylet_client_factory = [&remote_raylet_clients](const rpc::Address &addr) { + RAY_CHECK(remote_raylet_clients.count(addr.port()) == 0); auto client = std::make_shared(); - remote_lease_clients[addr.port()] = client; + remote_raylet_clients[addr.port()] = client; return client; }; auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, - lease_client_factory); + raylet_client_factory); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -1335,31 +1335,31 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { ASSERT_EQ(raylet_client->num_workers_requested, 1); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(remote_lease_clients.size(), 0); + ASSERT_EQ(remote_raylet_clients.size(), 0); // Spillback to a remote node. auto remote_raylet_id = NodeID::FromRandom(); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_raylet_id)); - ASSERT_EQ(remote_lease_clients.count(7777), 1); + ASSERT_EQ(remote_raylet_clients.count(7777), 1); // Confirm that lease policy is not consulted on spillback. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); // There should be no more callbacks on the local client. ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, NodeID::Nil())); // Trigger retry at the remote node. ASSERT_TRUE( - remote_lease_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); + remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); // The worker is returned to the remote node, not the local one. ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 0); - ASSERT_EQ(remote_lease_clients[7777]->num_workers_returned, 1); + ASSERT_EQ(remote_raylet_clients[7777]->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(remote_lease_clients[7777]->num_workers_disconnected, 0); + ASSERT_EQ(remote_raylet_clients[7777]->num_workers_disconnected, 0); ASSERT_EQ(task_manager->num_tasks_complete, 1); ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); - for (const auto &remote_client : remote_lease_clients) { + for (const auto &remote_client : remote_raylet_clients) { ASSERT_EQ(remote_client.second->num_leases_canceled, 0); ASSERT_FALSE(remote_client.second->ReplyCancelWorkerLease()); } @@ -1370,12 +1370,12 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { } TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { - absl::flat_hash_map> remote_lease_clients; - auto lease_client_factory = [&](const rpc::Address &addr) { + absl::flat_hash_map> remote_raylet_clients; + auto raylet_client_factory = [&](const rpc::Address &addr) { // We should not create a connection to the same raylet more than once. - RAY_CHECK(remote_lease_clients.count(addr.port()) == 0); + RAY_CHECK(remote_raylet_clients.count(addr.port()) == 0); auto client = std::make_shared(); - remote_lease_clients[addr.port()] = client; + remote_raylet_clients[addr.port()] = client; return client; }; auto local_raylet_id = NodeID::FromRandom(); @@ -1384,7 +1384,7 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, - lease_client_factory, + raylet_client_factory, store, kLongTimeout, local_raylet_id); @@ -1395,26 +1395,26 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { ASSERT_EQ(raylet_client->num_workers_requested, 1); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_EQ(remote_lease_clients.size(), 0); + ASSERT_EQ(remote_raylet_clients.size(), 0); // Spillback to a remote node. auto remote_raylet_id = NodeID::FromRandom(); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_raylet_id)); - ASSERT_EQ(remote_lease_clients.count(7777), 1); - ASSERT_EQ(remote_lease_clients[7777]->num_workers_requested, 1); + ASSERT_EQ(remote_raylet_clients.count(7777), 1); + ASSERT_EQ(remote_raylet_clients[7777]->num_workers_requested, 1); // Confirm that the spillback lease request has grant_or_reject set to true. - ASSERT_EQ(remote_lease_clients[7777]->num_grant_or_reject_leases_requested, 1); + ASSERT_EQ(remote_raylet_clients[7777]->num_grant_or_reject_leases_requested, 1); // Confirm that lease policy is not consulted on spillback. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, NodeID::Nil())); // Trigger a rejection back to the local node. - ASSERT_TRUE(remote_lease_clients[7777]->GrantWorkerLease( + ASSERT_TRUE(remote_raylet_clients[7777]->GrantWorkerLease( "local", 1234, local_raylet_id, false, "", /*reject=*/true)); // We should not have created another lease client to the local raylet. - ASSERT_EQ(remote_lease_clients.size(), 1); + ASSERT_EQ(remote_raylet_clients.size(), 1); // There should be no more callbacks on the remote node. ASSERT_FALSE( - remote_lease_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); + remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); // The worker is returned to the local node. ASSERT_EQ(raylet_client->num_grant_or_reject_leases_requested, 0); @@ -1422,14 +1422,14 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { ASSERT_TRUE(raylet_client->GrantWorkerLease("local", 1234, NodeID::Nil())); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); - ASSERT_EQ(remote_lease_clients[7777]->num_workers_returned, 0); + ASSERT_EQ(remote_raylet_clients[7777]->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 0); - ASSERT_EQ(remote_lease_clients[7777]->num_workers_disconnected, 0); + ASSERT_EQ(remote_raylet_clients[7777]->num_workers_disconnected, 0); ASSERT_EQ(task_manager->num_tasks_complete, 1); ASSERT_EQ(task_manager->num_tasks_failed, 0); ASSERT_EQ(raylet_client->num_leases_canceled, 0); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); - for (const auto &remote_client : remote_lease_clients) { + for (const auto &remote_client : remote_raylet_clients) { ASSERT_EQ(remote_client.second->num_leases_canceled, 0); ASSERT_FALSE(remote_client.second->ReplyCancelWorkerLease()); } @@ -1610,7 +1610,7 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, - /*lease_client_factory=*/nullptr, + /*raylet_client_factory=*/nullptr, store); TaskSpecification task1 = BuildEmptyTaskSpec(); @@ -1671,7 +1671,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, - /*lease_client_factory=*/nullptr, + /*raylet_client_factory=*/nullptr, store, /*lease_timeout_ms=*/5); TaskSpecification task1 = BuildEmptyTaskSpec(); diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/test/reference_count_test.cc index 296350de20cb..31fb503fab9e 100644 --- a/src/ray/core_worker/test/reference_count_test.cc +++ b/src/ray/core_worker/test/reference_count_test.cc @@ -244,15 +244,15 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { bool RegisterSubscription(const rpc::ChannelType channel_type, const pubsub::SubscriberID &subscriber_id, - const std::optional &key_id_binary) { + const std::optional &key_id_binary) override { RAY_CHECK(false) << "No need to implement it for testing."; return false; } void PublishFailure(const rpc::ChannelType channel_type, - const std::string &key_id_binary) {} + const std::string &key_id_binary) override {} - void Publish(rpc::PubMessage pub_message) { + void Publish(rpc::PubMessage pub_message) override { if (pub_message.channel_type() == rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL) { // TODO(swang): Test object locations pubsub too. return; @@ -273,10 +273,14 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { bool UnregisterSubscription(const rpc::ChannelType channel_type, const pubsub::SubscriberID &subscriber_id, - const std::optional &key_id_binary) { + const std::optional &key_id_binary) override { return true; } + void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingReply *reply, + rpc::SendReplyCallback send_reply_callback) override {} + pubsub::pub_internal::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; SubscriptionFailureCallbackMap *subscription_failure_callback_map_; diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/transport/normal_task_submitter.cc index c1963a45407b..b95d61224e0f 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/transport/normal_task_submitter.cc @@ -90,14 +90,14 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { void NormalTaskSubmitter::AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr lease_client, + std::shared_ptr raylet_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const TaskID &task_id) { core_worker_client_pool_->GetOrConnect(addr); int64_t expiration = current_time_ms() + lease_timeout_ms_; LeaseEntry new_lease_entry{ - std::move(lease_client), expiration, assigned_resources, scheduling_key, task_id}; + std::move(raylet_client), expiration, assigned_resources, scheduling_key, task_id}; worker_to_lease_entry_.emplace(addr, new_lease_entry); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -115,7 +115,7 @@ void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); auto &lease_entry = worker_to_lease_entry_[addr]; - RAY_CHECK(lease_entry.lease_client); + RAY_CHECK(lease_entry.raylet_client); RAY_CHECK(!lease_entry.is_busy); // Decrement the number of active workers consuming tasks from the queue associated @@ -128,11 +128,11 @@ void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, } auto status = - lease_entry.lease_client->ReturnWorker(addr.port(), - WorkerID::FromBinary(addr.worker_id()), - was_error, - error_detail, - worker_exiting); + lease_entry.raylet_client->ReturnWorker(addr.port(), + WorkerID::FromBinary(addr.worker_id()), + was_error, + error_detail, + worker_exiting); if (!status.ok()) { RAY_LOG(ERROR) << "Error returning worker to raylet: " << status.ToString(); } @@ -147,7 +147,7 @@ void NormalTaskSubmitter::OnWorkerIdle( bool worker_exiting, const google::protobuf::RepeatedPtrField &assigned_resources) { auto &lease_entry = worker_to_lease_entry_[addr]; - if (!lease_entry.lease_client) { + if (!lease_entry.raylet_client) { return; } @@ -204,10 +204,10 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul for (auto &pending_lease_request : scheduling_key_entry.pending_lease_requests) { // There is an in-flight lease request. Cancel it. - auto lease_client = GetOrConnectLeaseClient(&pending_lease_request.second); + auto raylet_client = GetOrConnectRayletClient(&pending_lease_request.second); auto &task_id = pending_lease_request.first; RAY_LOG(DEBUG) << "Canceling lease request " << task_id; - lease_client->CancelWorkerLease( + raylet_client->CancelWorkerLease( task_id, [this, scheduling_key](const Status &status, const rpc::CancelWorkerLeaseReply &reply) { @@ -227,27 +227,27 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul } } -std::shared_ptr NormalTaskSubmitter::GetOrConnectLeaseClient( +std::shared_ptr NormalTaskSubmitter::GetOrConnectRayletClient( const rpc::Address *raylet_address) { - std::shared_ptr lease_client; + std::shared_ptr raylet_client; RAY_CHECK(raylet_address != nullptr); if (NodeID::FromBinary(raylet_address->raylet_id()) != local_raylet_id_) { // A remote raylet was specified. Connect to the raylet if needed. NodeID raylet_id = NodeID::FromBinary(raylet_address->raylet_id()); - auto it = remote_lease_clients_.find(raylet_id); - if (it == remote_lease_clients_.end()) { + auto it = remote_raylet_clients_.find(raylet_id); + if (it == remote_raylet_clients_.end()) { RAY_LOG(INFO) << "Connecting to raylet " << raylet_id; - it = remote_lease_clients_ + it = remote_raylet_clients_ .emplace(raylet_id, raylet_client_pool_->GetOrConnectByAddress(*raylet_address)) .first; } - lease_client = it->second; + raylet_client = it->second; } else { - lease_client = local_lease_client_; + raylet_client = local_raylet_client_; } - return lease_client; + return raylet_client; } void NormalTaskSubmitter::ReportWorkerBacklog() { @@ -278,8 +278,8 @@ void NormalTaskSubmitter::ReportWorkerBacklogInternal() { backlog_report.set_backlog_size(backlog.second.second); backlog_reports.emplace_back(backlog_report); } - local_lease_client_->ReportWorkerBacklog(WorkerID::FromBinary(rpc_address_.worker_id()), - backlog_reports); + local_raylet_client_->ReportWorkerBacklog( + WorkerID::FromBinary(rpc_address_.worker_id()), backlog_reports); } void NormalTaskSubmitter::ReportWorkerBacklogIfNeeded( @@ -340,14 +340,14 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli raylet_address = &best_node_address; } - auto lease_client = GetOrConnectLeaseClient(raylet_address); + auto raylet_client = GetOrConnectRayletClient(raylet_address); const TaskID task_id = resource_spec.TaskId(); const std::string task_name = resource_spec.GetName(); RAY_LOG(DEBUG) << "Requesting lease from raylet " << NodeID::FromBinary(raylet_address->raylet_id()) << " for task " << task_id; - lease_client->RequestWorkerLease( + raylet_client->RequestWorkerLease( resource_spec.GetMessage(), /*grant_or_reject=*/is_spillback, [this, @@ -365,7 +365,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli absl::MutexLock lock(&mu_); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; - auto lease_client = GetOrConnectLeaseClient(&raylet_address); + auto raylet_client = GetOrConnectRayletClient(&raylet_address); scheduling_key_entry.pending_lease_requests.erase(task_id); if (status.ok()) { @@ -434,7 +434,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << WorkerID::FromBinary(reply.worker_address().worker_id()); AddWorkerLeaseClient(reply.worker_address(), - std::move(lease_client), + std::move(raylet_client), reply.resource_mapping(), scheduling_key, task_id); @@ -456,7 +456,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli RequestNewWorkerIfNeeded(scheduling_key, &reply.retry_at_raylet_address()); } - } else if (lease_client != local_lease_client_) { + } else if (raylet_client != local_raylet_client_) { // A lease request to a remote raylet failed. Retry locally if the lease is // still needed. // TODO(swang): Fail after some number of retries? @@ -607,9 +607,9 @@ void NormalTaskSubmitter::PushNormalTask( failed_tasks_pending_failure_cause_.erase(task_id); }; auto &cur_lease_entry = worker_to_lease_entry_[addr]; - RAY_CHECK(cur_lease_entry.lease_client); - cur_lease_entry.lease_client->GetTaskFailureCause(cur_lease_entry.task_id, - callback); + RAY_CHECK(cur_lease_entry.raylet_client); + cur_lease_entry.raylet_client->GetTaskFailureCause(cur_lease_entry.task_id, + callback); } OnWorkerIdle(addr, scheduling_key, diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/transport/normal_task_submitter.h index f07c90ee9e38..f7fb0bcbe691 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/transport/normal_task_submitter.h @@ -72,7 +72,7 @@ class NormalTaskSubmitter { public: explicit NormalTaskSubmitter( rpc::Address rpc_address, - std::shared_ptr lease_client, + std::shared_ptr local_raylet_client, std::shared_ptr core_worker_client_pool, std::shared_ptr raylet_client_pool, std::unique_ptr lease_policy, @@ -87,7 +87,7 @@ class NormalTaskSubmitter { const TensorTransportGetter &tensor_transport_getter, boost::asio::steady_timer cancel_timer) : rpc_address_(std::move(rpc_address)), - local_lease_client_(std::move(lease_client)), + local_raylet_client_(std::move(local_raylet_client)), raylet_client_pool_(std::move(raylet_client_pool)), lease_policy_(std::move(lease_policy)), resolver_(*store, task_manager, *actor_creator, tensor_transport_getter), @@ -161,7 +161,7 @@ class NormalTaskSubmitter { /// Get an existing lease client or connect a new one. If a raylet_address is /// provided, this connects to a remote raylet. Else, this connects to the /// local raylet. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectRayletClient( const rpc::Address *raylet_address) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); /// Report worker backlog information to the local raylet @@ -190,7 +190,7 @@ class NormalTaskSubmitter { /// Set up client state for newly granted worker lease. void AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr lease_client, + std::shared_ptr raylet_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const TaskID &task_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); @@ -234,11 +234,11 @@ class NormalTaskSubmitter { rpc::Address rpc_address_; // Client that can be used to lease and return workers from the local raylet. - std::shared_ptr local_lease_client_; + std::shared_ptr local_raylet_client_; /// Cache of gRPC clients to remote raylets. absl::flat_hash_map> - remote_lease_clients_ ABSL_GUARDED_BY(mu_); + remote_raylet_clients_ ABSL_GUARDED_BY(mu_); /// Raylet client pool for producing new clients to request leases from remote nodes. std::shared_ptr raylet_client_pool_; @@ -280,7 +280,7 @@ class NormalTaskSubmitter { /// (6) The SchedulingKey assigned to tasks that will be sent to the worker /// (7) The task id used to obtain the worker lease. struct LeaseEntry { - std::shared_ptr lease_client; + std::shared_ptr raylet_client; int64_t lease_expiration_time; google::protobuf::RepeatedPtrField assigned_resources; SchedulingKey scheduling_key; diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index a5abddeb727f..5eb2948d11f1 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -248,8 +248,8 @@ void GcsActorScheduler::CancelOnLeasing(const NodeID &node_id, address.set_raylet_id(node_info->node_id()); address.set_ip_address(node_info->node_manager_address()); address.set_port(node_info->node_manager_port()); - auto lease_client = GetOrConnectLeaseClient(address); - lease_client->CancelWorkerLease( + auto raylet_client = GetOrConnectRayletClient(address); + raylet_client->CancelWorkerLease( task_id, [](const Status &status, const rpc::CancelWorkerLeaseReply &reply) {}); } } @@ -290,7 +290,7 @@ void GcsActorScheduler::ReleaseUnusedActorWorkers( address.set_raylet_id(alive_node.second->node_id()); address.set_ip_address(alive_node.second->node_manager_address()); address.set_port(alive_node.second->node_manager_port()); - auto lease_client = GetOrConnectLeaseClient(address); + auto raylet_client = GetOrConnectRayletClient(address); auto release_unused_workers_callback = [this, node_id](const Status &status, const rpc::ReleaseUnusedActorWorkersReply &reply) { @@ -302,8 +302,8 @@ void GcsActorScheduler::ReleaseUnusedActorWorkers( // nodes do not have leased workers. In this case, GCS will send an empty list. auto workers_in_use = iter != node_to_workers.end() ? iter->second : std::vector{}; - lease_client->ReleaseUnusedActorWorkers(workers_in_use, - release_unused_workers_callback); + raylet_client->ReleaseUnusedActorWorkers(workers_in_use, + release_unused_workers_callback); } } @@ -326,10 +326,10 @@ void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, remote_address.set_raylet_id(node->node_id()); remote_address.set_ip_address(node->node_manager_address()); remote_address.set_port(node->node_manager_port()); - auto lease_client = GetOrConnectLeaseClient(remote_address); + auto raylet_client = GetOrConnectRayletClient(remote_address); // Actor leases should be sent to the raylet immediately, so we should never build up a // backlog in GCS. - lease_client->RequestWorkerLease( + raylet_client->RequestWorkerLease( actor->GetCreationTaskSpecification().GetMessage(), actor->GetGrantOrReject(), [this, actor, node](const Status &status, @@ -530,7 +530,7 @@ void GcsActorScheduler::DoRetryCreatingActorOnWorker( } } -std::shared_ptr GcsActorScheduler::GetOrConnectLeaseClient( +std::shared_ptr GcsActorScheduler::GetOrConnectRayletClient( const rpc::Address &raylet_address) { return raylet_client_pool_.GetOrConnectByAddress(raylet_address); } diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index 8326e901c064..1cd9a0907e05 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -340,7 +340,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { std::shared_ptr worker); /// Get an existing lease client or connect a new one. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectRayletClient( const rpc::Address &raylet_address); /// Kill the actor on a node diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index f2a1aef95938..0ca35f1765ed 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -187,12 +187,12 @@ void GcsPlacementGroupScheduler::PrepareResources( return; } - const auto lease_client = GetLeaseClientFromNode(node.value()); + const auto raylet_client = GetRayletClientFromNode(node.value()); const auto node_id = NodeID::FromBinary(node.value()->node_id()); RAY_LOG(INFO) << "Preparing resource from node " << node_id << " for bundles: " << GetDebugStringForBundles(bundles); - lease_client->PrepareBundleResources( + raylet_client->PrepareBundleResources( bundles, [node_id, bundles, callback](const Status &status, const rpc::PrepareBundleResourcesReply &reply) { @@ -214,12 +214,12 @@ void GcsPlacementGroupScheduler::CommitResources( const std::optional> &node, const StatusCallback callback) { RAY_CHECK(node.has_value()); - const auto lease_client = GetLeaseClientFromNode(node.value()); + const auto raylet_client = GetRayletClientFromNode(node.value()); const auto node_id = NodeID::FromBinary(node.value()->node_id()); RAY_LOG(INFO) << "Committing resource to a node " << node_id << " for bundles: " << GetDebugStringForBundles(bundles); - lease_client->CommitBundleResources( + raylet_client->CommitBundleResources( bundles, [bundles, node_id, callback](const Status &status, const rpc::CommitBundleResourcesReply &reply) { @@ -258,9 +258,9 @@ void GcsPlacementGroupScheduler::CancelResourceReserve( RAY_LOG(DEBUG) << "Cancelling the resource reserved for bundle: " << bundle_spec->DebugString() << " at node " << node_id; - const auto return_client = GetLeaseClientFromNode(node.value()); + const auto raylet_client = GetRayletClientFromNode(node.value()); - return_client->CancelResourceReserve( + raylet_client->CancelResourceReserve( *bundle_spec, [this, bundle_spec, node_id, node, max_retry, current_retry_cnt]( const Status &status, const rpc::CancelResourceReserveReply &reply) { @@ -284,17 +284,18 @@ void GcsPlacementGroupScheduler::CancelResourceReserve( } std::shared_ptr -GcsPlacementGroupScheduler::GetOrConnectLeaseClient(const rpc::Address &raylet_address) { +GcsPlacementGroupScheduler::GetOrConnectRayletClient(const rpc::Address &raylet_address) { return raylet_client_pool_.GetOrConnectByAddress(raylet_address); } -std::shared_ptr GcsPlacementGroupScheduler::GetLeaseClientFromNode( +std::shared_ptr +GcsPlacementGroupScheduler::GetRayletClientFromNode( const std::shared_ptr &node) { rpc::Address remote_address; remote_address.set_raylet_id(node->node_id()); remote_address.set_ip_address(node->node_manager_address()); remote_address.set_port(node->node_manager_port()); - return GetOrConnectLeaseClient(remote_address); + return GetOrConnectRayletClient(remote_address); } void GcsPlacementGroupScheduler::CommitAllBundles( @@ -535,7 +536,7 @@ void GcsPlacementGroupScheduler::ReleaseUnusedBundles( const auto &node_id = alive_node.first; nodes_of_releasing_unused_bundles_.insert(node_id); - auto lease_client = GetLeaseClientFromNode(alive_node.second); + auto raylet_client = GetRayletClientFromNode(alive_node.second); auto release_unused_bundles_callback = [this, node_id](const Status &status, const rpc::ReleaseUnusedBundlesReply &reply) { @@ -547,7 +548,7 @@ void GcsPlacementGroupScheduler::ReleaseUnusedBundles( // In this case, GCS will send an empty list. auto bundles_in_use = iter != node_to_bundles.end() ? iter->second : std::vector{}; - lease_client->ReleaseUnusedBundles(bundles_in_use, release_unused_bundles_callback); + raylet_client->ReleaseUnusedBundles(bundles_in_use, release_unused_bundles_callback); } } diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 18318702df76..ebd5e9e460e9 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -291,7 +291,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// \param gcs_node_manager The node manager which is used when scheduling. /// \param cluster_resource_scheduler The resource scheduler which is used when /// scheduling. - /// \param lease_client_factory Factory to create remote lease client. + /// \param raylet_client_pool Pool to get remote raylet client connections. GcsPlacementGroupScheduler(instrumented_io_context &io_context, gcs::GcsTableStorage &gcs_table_storage, const GcsNodeManager &gcs_node_manager, @@ -406,11 +406,11 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { int current_retry_cnt); /// Get an existing lease client or connect a new one or connect a new one. - std::shared_ptr GetOrConnectLeaseClient( + std::shared_ptr GetOrConnectRayletClient( const rpc::Address &raylet_address); /// Get an existing lease client for a given node. - std::shared_ptr GetLeaseClientFromNode( + std::shared_ptr GetRayletClientFromNode( const std::shared_ptr &node); /// Called when all prepare requests are returned from nodes. diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 8927570c75f1..81058297b98c 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -391,8 +391,8 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { std::shared_ptr raylet_client; // GetOrConnectionByID will not connect to the raylet is it hasn't been // connected. - if (auto conn_opt = raylet_client_pool_.GetByID(alive_node.first)) { - raylet_client = conn_opt; + if (auto raylet_client_opt = raylet_client_pool_.GetByID(alive_node.first)) { + raylet_client = raylet_client_opt; } else { // When not connect, use GetOrConnectByAddress auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/raylet_ipc_client.h index f93b40382b02..47a1132d6a29 100644 --- a/src/ray/ipc/raylet_ipc_client.h +++ b/src/ray/ipc/raylet_ipc_client.h @@ -35,26 +35,9 @@ using MessageType = ray::protocol::MessageType; namespace ray { -namespace ipc { - -/// Client for interacting with the local Raylet over a socket. -/// -/// Message ordering on the socket is guaranteed. -/// -/// If the socket is broken and the local Raylet is detected to be dead, calling any -/// method on the client will quick exit the process. -class RayletIpcClient { +class RayletIpcClientInterface { public: - /// Connect to the Raylet over a local socket. - /// - /// \param io_service The IO service used for interacting with the socket. - /// \param address The address of the socket that the Raylet is listening on. - /// \param num_retries The number of times to retry connecting before giving up. - /// \param timeout The time to wait between retries. - RayletIpcClient(instrumented_io_context &io_service, - const std::string &address, - int num_retries, - int64_t timeout); + virtual ~RayletIpcClientInterface() = default; /// Register this client (worker) with the local Raylet. /// @@ -69,16 +52,16 @@ class RayletIpcClient { /// \param[out] raylet_id The node ID for the local Raylet. /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, /// the worker should pick a port randomly. - ray::Status RegisterClient(const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const rpc::Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *raylet_id, - int *assigned_port); + virtual ray::Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *assigned_port) = 0; /// Notify the raylet that this client is disconnecting gracefully. This /// is used by actors to exit gracefully so that the raylet doesn't @@ -89,28 +72,28 @@ class RayletIpcClient { /// \param disconnect_type The reason why this worker process is disconnected. /// \param disconnect_detail The detailed reason for a given exit. /// \return ray::Status. - ray::Status Disconnect( + virtual ray::Status Disconnect( const rpc::WorkerExitType &exit_type, const std::string &exit_detail, - const std::shared_ptr &creation_task_exception_pb_bytes); + const std::shared_ptr &creation_task_exception_pb_bytes) = 0; /// Tell the raylet which port this worker's gRPC server is listening on. /// /// \param port The port. /// \return ray::Status. - Status AnnounceWorkerPortForWorker(int port); + virtual Status AnnounceWorkerPortForWorker(int port) = 0; /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. /// /// \param port The port. /// \param entrypoint The entrypoint of the driver's job. /// \return ray::Status. - Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint); + virtual Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) = 0; /// Tell the raylet that the client has finished executing a task. /// /// \return ray::Status. - ray::Status ActorCreationTaskDone(); + virtual ray::Status ActorCreationTaskDone() = 0; /// Ask the Raylet to pull a set of objects to the local node. /// @@ -119,8 +102,9 @@ class RayletIpcClient { /// \param object_ids The IDs of the objects to pull. /// \param owner_addresses The owner addresses of the objects. /// \return ray::Status. - ray::Status AsyncGetObjects(const std::vector &object_ids, - const std::vector &owner_addresses); + virtual ray::Status AsyncGetObjects( + const std::vector &object_ids, + const std::vector &owner_addresses) = 0; /// Wait for the given objects until timeout expires or num_return objects are /// found. @@ -133,28 +117,28 @@ class RayletIpcClient { /// found, and the second element the objects that were not found. /// \return ray::StatusOr containing error status or the set of object ids that were /// found. - ray::StatusOr> Wait( + virtual ray::StatusOr> Wait( const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, - int64_t timeout_milliseconds); + int64_t timeout_milliseconds) = 0; /// Tell the Raylet to cancel the get request from this worker. /// /// \return ray::Status. - ray::Status CancelGetRequest(); + virtual ray::Status CancelGetRequest() = 0; /// Notify the raylet that this client is blocked. This is only used for direct task /// calls. Note that ordering of this with respect to Unblock calls is important. /// /// \return ray::Status. - ray::Status NotifyDirectCallTaskBlocked(); + virtual ray::Status NotifyDirectCallTaskBlocked() = 0; /// Notify the raylet that this client is unblocked. This is only used for direct task /// calls. Note that ordering of this with respect to Block calls is important. /// /// \return ray::Status. - ray::Status NotifyDirectCallTaskUnblocked(); + virtual ray::Status NotifyDirectCallTaskUnblocked() = 0; /// Wait for the given objects asynchronously. /// @@ -163,8 +147,8 @@ class RayletIpcClient { /// \param references The objects to wait for. /// \param tag Value that will be sent to the core worker via gRPC on completion. /// \return ray::Status. - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag); + virtual ray::Status WaitForActorCallArgs( + const std::vector &references, int64_t tag) = 0; /// Push an error to the relevant driver. /// @@ -173,10 +157,10 @@ class RayletIpcClient { /// \param The error message. /// \param The timestamp of the error. /// \return ray::Status. - ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp); + virtual ray::Status PushError(const ray::JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) = 0; /// Free a list of objects from object stores. /// @@ -184,7 +168,8 @@ class RayletIpcClient { /// \param local_only Whether keep this request with local object store /// or send it to all the object stores. /// \return ray::Status. - ray::Status FreeObjects(const std::vector &object_ids, bool local_only); + virtual ray::Status FreeObjects(const std::vector &object_ids, + bool local_only) = 0; /// Subscribe this worker to a notification when the provided object is ready in the /// local object store. @@ -193,7 +178,80 @@ class RayletIpcClient { /// /// \param object_id The ID of the object to subscribe to. /// \param owner_address The address of the owner of the object. - void SubscribePlasmaReady(const ObjectID &object_id, const rpc::Address &owner_address); + virtual void SubscribePlasmaReady(const ObjectID &object_id, + const rpc::Address &owner_address) = 0; +}; + +namespace ipc { +/// Interface for interacting with the local Raylet over a socket. +/// +/// Message ordering on the socket is guaranteed. +/// +/// If the socket is broken and the local Raylet is detected to be dead, calling any +/// method on the client will quick exit the process. +class RayletIpcClient : public RayletIpcClientInterface { + public: + /// Connect to the Raylet over a local socket. + /// + /// \param io_service The IO service used for interacting with the socket. + /// \param address The address of the socket that the Raylet is listening on. + /// \param num_retries The number of times to retry connecting before giving up. + /// \param timeout The time to wait between retries. + RayletIpcClient(instrumented_io_context &io_service, + const std::string &address, + int num_retries, + int64_t timeout); + + ray::Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *raylet_id, + int *assigned_port) override; + + ray::Status Disconnect(const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr + &creation_task_exception_pb_bytes) override; + + Status AnnounceWorkerPortForWorker(int port) override; + + Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) override; + + ray::Status ActorCreationTaskDone() override; + + ray::Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) override; + + ray::StatusOr> Wait( + const std::vector &object_ids, + const std::vector &owner_addresses, + int num_returns, + int64_t timeout_milliseconds) override; + + ray::Status CancelGetRequest() override; + + ray::Status NotifyDirectCallTaskBlocked() override; + + ray::Status NotifyDirectCallTaskUnblocked() override; + + ray::Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) override; + + ray::Status PushError(const ray::JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) override; + + ray::Status FreeObjects(const std::vector &object_ids, + bool local_only) override; + + void SubscribePlasmaReady(const ObjectID &object_id, + const rpc::Address &owner_address) override; private: /// Send a request to raylet asynchronously. diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 64a7dec8f287..38383ce11172 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -486,8 +486,7 @@ service CoreWorkerService { // A worker asks the object's owner worker about the object's current status. // This RPC assumes the ref won't be removed in the middle of execution and it's the // caller's responsibility to guarantee that. - // Failure: TODO, Needs better failure behavior, currently assumes owner is dead and - // object is lost. + // Failure: Retries, it's idempotent. rpc GetObjectStatus(GetObjectStatusRequest) returns (GetObjectStatusReply); // From GCS actor manager to the actor's owner. diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index f70f53f52605..b61027e11928 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -246,6 +246,15 @@ class PublisherInterface { public: virtual ~PublisherInterface() = default; + /// Handle a long poll request from `subscriber_id`. + /// + /// TODO(sang): Currently, we need to pass the callback for connection because we are + /// using long polling internally. This should be changed once the bidirectional grpc + /// streaming is supported. + virtual void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingReply *reply, + rpc::SendReplyCallback send_reply_callback) = 0; + /// Register the subscription. /// /// \param channel_type The type of the channel. @@ -332,46 +341,19 @@ class Publisher : public PublisherInterface { ~Publisher() override = default; - /// Handle a long poll request from `subscriber_id`. - /// - /// TODO(sang): Currently, we need to pass the callback for connection because we are - /// using long polling internally. This should be changed once the bidirectional grpc - /// streaming is supported. void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback); + rpc::SendReplyCallback send_reply_callback) override; - /// Register the subscription. - /// - /// \param channel_type The type of the channel. - /// \param subscriber_id The node id of the subscriber. - /// \param key_id The key_id that the subscriber is subscribing to. - /// \return True if the registration is new. False otherwise. bool RegisterSubscription(const rpc::ChannelType channel_type, const SubscriberID &subscriber_id, const std::optional &key_id) override; - /// Publish the given object id to subscribers. - /// - /// \param pub_message The message to publish. - /// Required to contain channel_type and key_id fields. void Publish(rpc::PubMessage pub_message) override; - /// Publish to the subscriber that the given key id is not available anymore. - /// It will invoke the failure callback on the subscriber side. - /// - /// \param channel_type The type of the channel. - /// \param key_id The message id to publish. void PublishFailure(const rpc::ChannelType channel_type, const std::string &key_id) override; - /// Unregister subscription. It means the given object id won't be published to the - /// subscriber anymore. - /// - /// \param channel_type The type of the channel. - /// \param subscriber_id The node id of the subscriber. - /// \param key_id The key_id of the subscriber. - /// \return True if erased. False otherwise. bool UnregisterSubscription(const rpc::ChannelType channel_type, const SubscriberID &subscriber_id, const std::optional &key_id) override; @@ -424,6 +406,7 @@ class Publisher : public PublisherInterface { FRIEND_TEST(PublisherTest, TestUnregisterSubscriber); FRIEND_TEST(PublisherTest, TestRegistrationIdempotency); friend class MockPublisher; + friend class FakePublisher; /// Testing only. Publisher() : publish_batch_size_(-1) {} diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index b1a9b31d2112..0d726f782f79 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2588,8 +2588,8 @@ void NodeManager::HandleFormatGlobalMemoryInfo( for (const auto &[node_id, address] : remote_node_manager_addresses_) { auto addr = rpc::RayletClientPool::GenerateRayletAddress( node_id, address.first, address.second); - auto client = raylet_client_pool_.GetOrConnectByAddress(std::move(addr)); - client->GetNodeStats( + auto raylet_client = raylet_client_pool_.GetOrConnectByAddress(std::move(addr)); + raylet_client->GetNodeStats( stats_req, [replies, store_reply](const ray::Status &status, rpc::GetNodeStatsReply &&r) { if (!status.ok()) { diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 345296c4c24e..cba4feeee6b7 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -21,6 +21,7 @@ #include #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/buffer.h" #include "ray/common/bundle_spec.h" #include "ray/common/status.h" #include "ray/common/status_or.h" @@ -185,6 +186,8 @@ class RayletClientInterface { virtual void GetSystemConfig( const rpc::ClientCallback &callback) = 0; + virtual void GlobalGC(const rpc::ClientCallback &callback) = 0; + virtual void NotifyGCSRestart( const rpc::ClientCallback &callback) = 0; @@ -213,6 +216,8 @@ class RayletClientInterface { const rpc::GetNodeStatsRequest &request, const rpc::ClientCallback &callback) = 0; + virtual int64_t GetPinsInFlight() const = 0; + virtual ~RayletClientInterface() = default; }; @@ -330,7 +335,7 @@ class RayletClient : public RayletClientInterface { void GetSystemConfig( const rpc::ClientCallback &callback) override; - void GlobalGC(const rpc::ClientCallback &callback); + void GlobalGC(const rpc::ClientCallback &callback) override; void GetResourceLoad( const rpc::ClientCallback &callback) override; @@ -340,7 +345,7 @@ class RayletClient : public RayletClientInterface { const ResourceMappingType &GetResourceIDs() const { return resource_ids_; } - int64_t GetPinsInFlight() const { return pins_in_flight_.load(); } + int64_t GetPinsInFlight() const override { return pins_in_flight_.load(); } void GetNodeStats(const rpc::GetNodeStatsRequest &request, const rpc::ClientCallback &callback) override; diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/rpc/node_manager/node_manager_client.h index d27b0d9e687c..7f119f2db8af 100644 --- a/src/ray/rpc/node_manager/node_manager_client.h +++ b/src/ray/rpc/node_manager/node_manager_client.h @@ -51,6 +51,9 @@ class NodeManagerClient { /// \param[in] address Address of the node manager server. /// \param[in] port Port of the node manager server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. + /// \param[in] raylet_unavailable_timeout_callback The callback function that is used + /// by the retryable grpc to remove unresponsive raylet connections from the pool once + /// its been unavailable for more than server_unavailable_timeout_seconds. NodeManagerClient(const rpc::Address &address, ClientCallManager &client_call_manager, std::function raylet_unavailable_timeout_callback) diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 29f3afe8fada..51a06cdb7166 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -203,6 +203,9 @@ class CoreWorkerClient : public std::enable_shared_from_this, /// /// \param[in] address Address of the worker server. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. + /// \param[in] core_worker_unavailable_timeout_callback The callback function that is + /// used by the retryable grpc to remove unresponsive core worker connections from the + /// pool once its been unavailable for more than server_unavailable_timeout_seconds. CoreWorkerClient(rpc::Address address, ClientCallManager &client_call_manager, std::function core_worker_unavailable_timeout_callback); @@ -220,11 +223,12 @@ class CoreWorkerClient : public std::enable_shared_from_this, /*method_timeout_ms*/ -1, override) - VOID_RPC_CLIENT_METHOD(CoreWorkerService, - GetObjectStatus, - grpc_client_, - /*method_timeout_ms*/ -1, - override) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + CoreWorkerService, + GetObjectStatus, + grpc_client_, + /*method_timeout_ms*/ -1, + override) VOID_RPC_CLIENT_METHOD(CoreWorkerService, KillActor, diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index 8e9cbc46ccad..f26ae8d81938 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -40,7 +40,7 @@ class CoreWorkerClientPool { : core_worker_client_factory_(std::move(client_factory)){}; /// Default unavailable_timeout_callback for retryable rpc's used by client factories on - /// core worker and node manager. + /// core worker. static std::function GetDefaultUnavailableTimeoutCallback( gcs::GcsClient *gcs_client, rpc::CoreWorkerClientPool *worker_client_pool, From 2f157c9f0d138dea23109da363e5e5978ec1c13a Mon Sep 17 00:00:00 2001 From: Ping Date: Sat, 9 Aug 2025 12:40:51 +0800 Subject: [PATCH 0589/1566] [Core] Cover cpplint for ray/src/ray/common/task (#55413) Signed-off-by: 400Ping Signed-off-by: Douglas Strodtman --- src/ray/common/task/task.cc | 4 ++++ src/ray/common/task/task.h | 3 +++ src/ray/common/task/task_spec.cc | 4 ++++ src/ray/common/task/task_spec.h | 1 + src/ray/common/task/task_util.h | 6 ++++++ 5 files changed, 18 insertions(+) diff --git a/src/ray/common/task/task.cc b/src/ray/common/task/task.cc index 8be3a423c1b5..28d28d6a8a12 100644 --- a/src/ray/common/task/task.cc +++ b/src/ray/common/task/task.cc @@ -14,6 +14,10 @@ #include "ray/common/task/task.h" +#include +#include +#include + #include "absl/strings/str_format.h" namespace ray { diff --git a/src/ray/common/task/task.h b/src/ray/common/task/task.h index fa9f4db14b3e..9408990fb1de 100644 --- a/src/ray/common/task/task.h +++ b/src/ray/common/task/task.h @@ -16,6 +16,9 @@ #include +#include +#include + #include "ray/common/task/task_common.h" #include "ray/common/task/task_spec.h" diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index 1101d0f7c953..76cf5ae8574b 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -15,7 +15,11 @@ #include "ray/common/task/task_spec.h" #include +#include #include +#include +#include +#include #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index dca4db743701..a076309d4b07 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -17,6 +17,7 @@ #include #include +#include #include #include #include diff --git a/src/ray/common/task/task_util.h b/src/ray/common/task/task_util.h index bf9e35eb0c38..1665f9e96298 100644 --- a/src/ray/common/task/task_util.h +++ b/src/ray/common/task/task_util.h @@ -14,6 +14,12 @@ #pragma once +#include +#include +#include +#include +#include + #include "ray/common/buffer.h" #include "ray/common/ray_object.h" #include "ray/common/task/task_spec.h" From 365fffabbff6fcde70968978bb0feaeee8732d92 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 8 Aug 2025 23:11:12 -0700 Subject: [PATCH 0590/1566] [image] add cuda 12.6 for aarch64 (#55444) adding 12.6.3 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/linux_aarch64.rayci.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.buildkite/linux_aarch64.rayci.yml b/.buildkite/linux_aarch64.rayci.yml index 8cf1b12ef59a..0ba034ec1064 100644 --- a/.buildkite/linux_aarch64.rayci.yml +++ b/.buildkite/linux_aarch64.rayci.yml @@ -34,6 +34,7 @@ steps: - "12.3.2-cudnn9" - "12.4.1-cudnn" - "12.5.1-cudnn" + - "12.6.3-cudnn" - "12.8.1-cudnn" instance_type: builder-arm64 env: @@ -88,7 +89,8 @@ steps: --platform cu11.7.1-cudnn8 --platform cu11.8.0-cudnn8 --platform cu12.1.1-cudnn8 --platform cu12.3.2-cudnn9 --platform cu12.4.1-cudnn --platform cu12.5.1-cudnn - --platform cu12.8.1-cudnn --platform cpu + --platform cu12.6.3-cudnn --platform cu12.8.1-cudnn + --platform cpu --image-type ray --architecture aarch64 --upload depends_on: - manylinux-aarch64 From 777b9ec65ae4045bea7f3c983fa3715548fc2c82 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 9 Aug 2025 01:07:56 -0700 Subject: [PATCH 0591/1566] [ci] shorten test name of `concurrency_group_manager_test` (#55445) fixes #55441 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_execution/test/BUILD.bazel | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/ray/core_worker/task_execution/test/BUILD.bazel b/src/ray/core_worker/task_execution/test/BUILD.bazel index 48666ca86ce0..731ce60abcdb 100644 --- a/src/ray/core_worker/task_execution/test/BUILD.bazel +++ b/src/ray/core_worker/task_execution/test/BUILD.bazel @@ -23,8 +23,9 @@ ray_cc_test( ], ) +# Test name is shortened for running on Windows. ray_cc_test( - name = "concurrency_group_manager_test", + name = "concurrency_grp_mgr_test", srcs = ["concurrency_group_manager_test.cc"], tags = ["team:core"], deps = [ From fb240bba7fcc7df35f8e48a7482710393f781edd Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 9 Aug 2025 01:52:52 -0700 Subject: [PATCH 0592/1566] Revert "[release] Move logic to check whether to build custom BYOD image" (#55447) Reverts ray-project/ray#55397 Signed-off-by: Douglas Strodtman --- release/ray_release/byod/build.py | 20 +++++++++++--------- release/ray_release/scripts/ray_bisect.py | 7 +------ release/ray_release/tests/test_byod_build.py | 6 +----- 3 files changed, 13 insertions(+), 20 deletions(-) diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 62ae1d62f3b3..14e9bb43311a 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -30,11 +30,13 @@ REQUIREMENTS_ML_BYOD = "requirements_ml_byod" -def build_anyscale_custom_byod_image( - image: str, base_image: str, post_build_script: str -) -> None: - if _image_exist(image): - logger.info(f"Image {image} already exists") +def build_anyscale_custom_byod_image(test: Test) -> None: + if not test.require_custom_byod_image(): + logger.info(f"Test {test.get_name()} does not require a custom byod image") + return + byod_image = test.get_anyscale_byod_image() + if _image_exist(byod_image): + logger.info(f"Image {byod_image} already exists") return env = os.environ.copy() @@ -45,11 +47,11 @@ def build_anyscale_custom_byod_image( "build", "--progress=plain", "--build-arg", - f"BASE_IMAGE={base_image}", + f"BASE_IMAGE={test.get_anyscale_base_byod_image()}", "--build-arg", - f"POST_BUILD_SCRIPT={post_build_script}", + f"POST_BUILD_SCRIPT={test.get_byod_post_build_script()}", "-t", - image, + byod_image, "-f", os.path.join(RELEASE_BYOD_DIR, "byod.custom.Dockerfile"), RELEASE_BYOD_DIR, @@ -57,7 +59,7 @@ def build_anyscale_custom_byod_image( stdout=sys.stderr, env=env, ) - _validate_and_push(image) + _validate_and_push(byod_image) def build_anyscale_base_byod_images(tests: List[Test]) -> None: diff --git a/release/ray_release/scripts/ray_bisect.py b/release/ray_release/scripts/ray_bisect.py index 257519d620e4..15ebd4c9d396 100644 --- a/release/ray_release/scripts/ray_bisect.py +++ b/release/ray_release/scripts/ray_bisect.py @@ -178,12 +178,7 @@ def _trigger_test_run( ) -> None: os.environ["COMMIT_TO_TEST"] = commit build_anyscale_base_byod_images([test]) - if test.require_custom_byod_image(): - build_anyscale_custom_byod_image( - test.get_anyscale_byod_image(), - test.get_anyscale_base_byod_image(), - test.get_byod_post_build_script(), - ) + build_anyscale_custom_byod_image(test) for run in range(run_per_commit): step = get_step( copy.deepcopy(test), # avoid mutating the original test diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 920b2c826e36..7da9d5449a69 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -68,11 +68,7 @@ def _mock_check_call( name="name", cluster={"byod": {"post_build_script": "foo.sh"}}, ) - build_anyscale_custom_byod_image( - test.get_anyscale_byod_image(), - test.get_anyscale_base_byod_image(), - test.get_byod_post_build_script(), - ) + build_anyscale_custom_byod_image(test) assert "docker build --build-arg BASE_IMAGE=029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37 -t 029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37-c3fc5fc6d84cea4d7ab885c6cdc966542e" From 453bc2dd3c6fefbffe7c30f0f74cdfd96f9345f6 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Sat, 9 Aug 2025 12:39:00 -0700 Subject: [PATCH 0593/1566] [Train] Have user faced APIs use TrainFnUtils (#55226) There are some user-faced APIs calling internal TrainContext. We add one `TrainFnUtils` as the layer between user facing APIs and public context and internal context. This makes patching the user facing APIs behavior much easier. --------- Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- python/ray/train/collective/collectives.py | 16 ++-- .../train/v2/_internal/execution/context.py | 12 ++- .../v2/_internal/execution/train_fn_utils.py | 81 +++++++++++++++++++ .../execution/worker_group/worker.py | 7 ++ python/ray/train/v2/api/train_fn_utils.py | 10 +-- python/ray/train/v2/tests/test_persistence.py | 13 +-- 6 files changed, 122 insertions(+), 17 deletions(-) create mode 100644 python/ray/train/v2/_internal/execution/train_fn_utils.py diff --git a/python/ray/train/collective/collectives.py b/python/ray/train/collective/collectives.py index c35c43564bbe..3b06fc369e32 100644 --- a/python/ray/train/collective/collectives.py +++ b/python/ray/train/collective/collectives.py @@ -3,7 +3,10 @@ import ray import ray.cloudpickle as pickle -from ray.train.v2._internal.execution.context import get_train_context +from ray.train.v2._internal.execution.context import ( + get_train_context as get_internal_train_context, +) +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.util.annotations import PublicAPI # For reference, {1:1} is 19 bytes, {"1":"1"} is 21 bytes, @@ -66,8 +69,11 @@ def train_func(): ) # Send data to all workers. - train_context = get_train_context() - sync_actor = train_context.get_synchronization_actor() + # TODO (xgui): We should not expose get_synchronization_actor() from internal_context here. + # Maybe create one public barrier API inside `TrainFnUtils` + sync_actor = get_internal_train_context().get_synchronization_actor() + train_context = get_train_fn_utils().get_context() + return ray.get( sync_actor.broadcast_from_rank_zero.remote( world_rank=train_context.get_world_rank(), @@ -103,8 +109,8 @@ def train_func(): trainer = TorchTrainer(train_func) trainer.fit() """ - train_context = get_train_context() - sync_actor = train_context.get_synchronization_actor() + train_context = get_train_fn_utils().get_context() + sync_actor = get_internal_train_context().get_synchronization_actor() return ray.get( sync_actor.broadcast_from_rank_zero.remote( world_rank=train_context.get_world_rank(), diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index cf76ec4f8484..fd2f0df8e23e 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -216,7 +216,7 @@ def report( metrics: Dict[str, Any], checkpoint: Optional[Checkpoint] = None, checkpoint_dir_name: Optional[str] = None, - ): + ) -> None: """ Upload checkpoint to remote storage and put a training result on the result queue of this worker process. @@ -277,6 +277,16 @@ def report( def get_train_context() -> TrainContext: + """Get the internal train context. + + Note: + This should not be used directly by user-facing APIs. User-facing APIs should + call :class:`~ray.train.v2._internal.execution.train_fn_utils.TrainFnUtils` + or use :class:`~ray.train.v2.api.context.TrainContext` instead. + + Returns: + The internal TrainContext for this worker. + """ with _context_lock: if _train_context is None: raise RuntimeError("TrainContext has not been initialized.") diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py new file mode 100644 index 000000000000..28bf683fda2d --- /dev/null +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -0,0 +1,81 @@ +import threading +from typing import Any, Dict, Optional + +from ray.data import DataIterator +from ray.train import Checkpoint +from ray.train.v2._internal.execution.context import ( + get_train_context as get_internal_train_context, +) +from ray.train.v2.api.context import TrainContext as ExternalTrainContext + + +class TrainFnUtils: + """Utility class providing an abstraction layer between user-facing APIs + and :class:`~ray.train.v2._internal.execution.context.TrainContext`. + + It should be set before the users' training function is called, like training workers initialization. + This class can be patched if new user APIs behaviors is wanted. + """ + + def report( + self, + metrics: Dict[str, Any], + checkpoint: Optional[Checkpoint] = None, + checkpoint_dir_name: Optional[str] = None, + ) -> None: + """Upload checkpoint to remote storage and put a training result on the result queue. + + Args: + metrics: The metrics to report. + checkpoint: The checkpoint to report. + checkpoint_dir_name: The name of the checkpoint dir + in this iteration. Note: If not set, the checkpoint will + be stored in the default storage path. If set, make sure + this value is unique for each iteration. + """ + return get_internal_train_context().report( + metrics, checkpoint, checkpoint_dir_name + ) + + def get_checkpoint(self): + """Get the latest checkpoint to resume training from. + + Returns: + The latest checkpoint if available, None otherwise. + """ + return get_internal_train_context().get_checkpoint() + + def get_dataset_shard(self, dataset_name: str) -> DataIterator: + """Get the dataset shard for this worker. + + This method is used by the public API function :func:`ray.train.get_dataset_shard`. + Users should typically call ``ray.train.get_dataset_shard()`` instead of calling this method directly. + + Args: + dataset_name: The name of the dataset to get the shard for. + + Returns: + The DataIterator shard for this worker. + """ + return get_internal_train_context().get_dataset_shard(dataset_name) + + def get_context(self) -> ExternalTrainContext: + return ExternalTrainContext() + + +_train_fn_utils: Optional[TrainFnUtils] = None +_train_fn_utils_lock = threading.Lock() + + +def get_train_fn_utils() -> TrainFnUtils: + global _train_fn_utils + with _train_fn_utils_lock: + if _train_fn_utils is None: + raise RuntimeError("TrainFnUtils has not been initialized.") + return _train_fn_utils + + +def set_train_fn_utils(train_fn_utils) -> None: + global _train_fn_utils + with _train_fn_utils_lock: + _train_fn_utils = train_fn_utils diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 1a3ea2e7a554..667ab318296b 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -30,6 +30,10 @@ set_train_context, ) from ray.train.v2._internal.execution.storage import StorageContext +from ray.train.v2._internal.execution.train_fn_utils import ( + TrainFnUtils, + set_train_fn_utils, +) from ray.train.v2._internal.execution.worker_group.poll import WorkerStatus from ray.train.v2._internal.logging.logging import LoggingManager from ray.train.v2._internal.logging.patch_print import patch_print_function @@ -219,5 +223,8 @@ def init_train_context( # Set the train context global variable for the worker. set_train_context(context) + # user facing train fn utils + set_train_fn_utils(TrainFnUtils()) + for callback in self._callbacks: callback.after_init_train_context() diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index 6266f9441b42..efd3e6575ef4 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -1,7 +1,7 @@ from typing import TYPE_CHECKING, Any, Dict, Optional from ray.train import Checkpoint -from ray.train.v2._internal.execution.context import get_train_context +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.context import TrainContext from ray.util.annotations import PublicAPI @@ -88,7 +88,7 @@ def train_func(config): index in the name. """ - get_train_context().report( + get_train_fn_utils().report( metrics=metrics, checkpoint=checkpoint, checkpoint_dir_name=checkpoint_dir_name ) @@ -103,7 +103,7 @@ def get_context() -> TrainContext: """ # TODO: Return a dummy train context on the controller and driver process # instead of raising an exception if the train context does not exist. - return TrainContext() + return get_train_fn_utils().get_context() @PublicAPI(stability="stable") @@ -148,7 +148,7 @@ def train_func(config): Checkpoint object if the session is currently being resumed. Otherwise, return None. """ - return get_train_context().get_checkpoint() + return get_train_fn_utils().get_checkpoint() @PublicAPI(stability="stable") @@ -195,4 +195,4 @@ def train_loop_per_worker(config): The ``DataIterator`` shard to use for this worker. If no dataset is passed into Trainer, then return None. """ - return get_train_context().get_dataset_shard(dataset_name) + return get_train_fn_utils().get_dataset_shard(dataset_name) diff --git a/python/ray/train/v2/tests/test_persistence.py b/python/ray/train/v2/tests/test_persistence.py index cc231722a651..84468f1ea57a 100644 --- a/python/ray/train/v2/tests/test_persistence.py +++ b/python/ray/train/v2/tests/test_persistence.py @@ -24,8 +24,11 @@ ScalingConfig, ) from ray.train.v2._internal.constants import HEALTH_CHECK_INTERVAL_S_ENV_VAR -from ray.train.v2._internal.execution.context import get_train_context +from ray.train.v2._internal.execution.context import ( + get_train_context as get_internal_train_context, +) from ray.train.v2._internal.execution.storage import _download_from_fs_path +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer @@ -212,11 +215,9 @@ def train_fn(config): # which will cause the test assertions to fail. # This should be fixed by forcing a queue flush on all workers before # executing the failure decisions. - # Note: this `get_train_context` is not a public API. - # TODO (hpguo): Think about expose `get_synchronization_actor` as a - # public API, which will be a useful collection of communication utils. - train_context = get_train_context() - sync_actor = train_context.get_synchronization_actor() + sync_actor = get_internal_train_context().get_synchronization_actor() + train_context = get_train_fn_utils().get_context() + ray.get( sync_actor.broadcast_from_rank_zero.remote( world_rank=train_context.get_world_rank(), From 4c9438dca5895033ee1e98977101bc64d4793cc2 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 9 Aug 2025 13:33:39 -0700 Subject: [PATCH 0594/1566] Revert "[Data] Deprecate `with_columns` API in favor of `with_column`" (#55451) Reverts ray-project/ray#55322 Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 29 ++++++------- python/ray/data/expressions.py | 8 ++-- python/ray/data/tests/test_map.py | 71 ++++++++++++++++--------------- 3 files changed, 55 insertions(+), 53 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 8766434c425a..c2a3f0184854 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -783,31 +783,31 @@ def _map_batches_without_batch_size_validation( return Dataset(plan, logical_plan) @PublicAPI(api_group=EXPRESSION_API_GROUP, stability="alpha") - def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Dataset": + def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": """ - Add a new column to the dataset via an expression. + Add new columns to the dataset. Examples: >>> import ray >>> from ray.data.expressions import col >>> ds = ray.data.range(100) - >>> ds.with_column("id_2", (col("id") * 2)).schema() - Column Type - ------ ---- - id int64 - id_2 int64 + >>> ds.with_columns({"new_id": col("id") * 2, "new_id_2": col("id") * 3}).schema() + Column Type + ------ ---- + id int64 + new_id int64 + new_id_2 int64 Args: - column_name: The name of the new column. - expr: An expression that defines the new column values. - **ray_remote_args: Additional resource requirements to request from - Ray (e.g., num_gpus=1 to request GPUs for the map tasks). See - :func:`ray.remote` for details. + exprs: A dictionary mapping column names to expressions that define the new column values. Returns: - A new dataset with the added column evaluated via the expression. + A new dataset with the added columns evaluated via expressions. """ + if not exprs: + raise ValueError("at least one expression is required") + from ray.data._internal.logical.operators.map_operator import Project plan = self._plan.copy() @@ -815,8 +815,7 @@ def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Datas self._logical_plan.dag, cols=None, cols_rename=None, - exprs={column_name: expr}, - ray_remote_args=ray_remote_args, + exprs=exprs, ) logical_plan = LogicalPlan(project_op, self.context) return Dataset(plan, logical_plan) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index 3ba8f48356da..cf59aa30b5e0 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -259,10 +259,10 @@ def col(name: str) -> ColumnExpr: >>> # Reference columns in an expression >>> expr = col("price") * col("quantity") >>> - >>> # Use with Dataset.with_column() + >>> # Use with Dataset.with_columns() >>> import ray >>> ds = ray.data.from_items([{"price": 10, "quantity": 2}]) - >>> ds = ds.with_column("total", col("price") * col("quantity")) + >>> ds = ds.with_columns({"total": col("price") * col("quantity")}) """ return ColumnExpr(name) @@ -293,10 +293,10 @@ def lit(value: Any) -> LiteralExpr: >>> # Use in expressions >>> expr = col("age") + lit(1) # Add 1 to age column >>> - >>> # Use with Dataset.with_column() + >>> # Use with Dataset.with_columns() >>> import ray >>> ds = ray.data.from_items([{"age": 25}, {"age": 30}]) - >>> ds = ds.with_column("age_plus_one", col("age") + lit(1)) + >>> ds = ds.with_columns({"age_plus_one": col("age") + lit(1)}) """ return LiteralExpr(value) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 0bfb35f68f17..6c3f9c6d4a37 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -2286,53 +2286,52 @@ def func(x, y): @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_column requires PyArrow >= 20.0.0", + reason="with_columns requires PyArrow >= 20.0.0", ) @pytest.mark.parametrize( - "column_name, expr, expected_value", + "exprs, expected_value", [ # Arithmetic operations - ("result", col("id") + 1, 1), # 0 + 1 = 1 - ("result", col("id") + 5, 5), # 0 + 5 = 5 - ("result", col("id") - 1, -1), # 0 - 1 = -1 - ("result", col("id") * 2, 0), # 0 * 2 = 0 - ("result", col("id") * 3, 0), # 0 * 3 = 0 - ("result", col("id") / 2, 0.0), # 0 / 2 = 0.0 + ({"result": col("id") + 1}, 1), # 0 + 1 = 1 + ({"result": col("id") + 5}, 5), # 0 + 5 = 5 + ({"result": col("id") - 1}, -1), # 0 - 1 = -1 + ({"result": col("id") * 2}, 0), # 0 * 2 = 0 + ({"result": col("id") * 3}, 0), # 0 * 3 = 0 + ({"result": col("id") / 2}, 0.0), # 0 / 2 = 0.0 # More complex arithmetic - ("result", (col("id") + 1) * 2, 2), # (0 + 1) * 2 = 2 - ("result", (col("id") * 2) + 3, 3), # 0 * 2 + 3 = 3 + ({"result": (col("id") + 1) * 2}, 2), # (0 + 1) * 2 = 2 + ({"result": (col("id") * 2) + 3}, 3), # 0 * 2 + 3 = 3 # Comparison operations - ("result", col("id") > 0, False), # 0 > 0 = False - ("result", col("id") >= 0, True), # 0 >= 0 = True - ("result", col("id") < 1, True), # 0 < 1 = True - ("result", col("id") <= 0, True), # 0 <= 0 = True - ("result", col("id") == 0, True), # 0 == 0 = True + ({"result": col("id") > 0}, False), # 0 > 0 = False + ({"result": col("id") >= 0}, True), # 0 >= 0 = True + ({"result": col("id") < 1}, True), # 0 < 1 = True + ({"result": col("id") <= 0}, True), # 0 <= 0 = True + ({"result": col("id") == 0}, True), # 0 == 0 = True # Operations with literals - ("result", col("id") + lit(10), 10), # 0 + 10 = 10 - ("result", col("id") * lit(5), 0), # 0 * 5 = 0 - ("result", lit(2) + col("id"), 2), # 2 + 0 = 2 - ("result", lit(10) / (col("id") + 1), 10.0), # 10 / (0 + 1) = 10.0 + ({"result": col("id") + lit(10)}, 10), # 0 + 10 = 10 + ({"result": col("id") * lit(5)}, 0), # 0 * 5 = 0 + ({"result": lit(2) + col("id")}, 2), # 2 + 0 = 2 + ({"result": lit(10) / (col("id") + 1)}, 10.0), # 10 / (0 + 1) = 10.0 ], ) -def test_with_column( +def test_with_columns( ray_start_regular_shared, - column_name, - expr, + exprs, expected_value, target_max_block_size_infinite_or_default, ): - """Verify that `with_column` works with various operations.""" - ds = ray.data.range(5).with_column(column_name, expr) + """Verify that `with_columns` works with various operations.""" + ds = ray.data.range(5).with_columns(exprs) result = ds.take(1)[0] assert result["id"] == 0 - assert result[column_name] == expected_value + assert result["result"] == expected_value @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_column requires PyArrow >= 20.0.0", + reason="with_columns requires PyArrow >= 20.0.0", ) -def test_with_column_nonexistent_column( +def test_with_columns_nonexistent_column( ray_start_regular_shared, target_max_block_size_infinite_or_default ): """Verify that referencing a non-existent column with col() raises an exception.""" @@ -2341,22 +2340,26 @@ def test_with_column_nonexistent_column( # Try to reference a non-existent column - this should raise an exception with pytest.raises(UserCodeException): - ds.with_column("result", col("nonexistent_column") + 1).materialize() + ds.with_columns({"result": col("nonexistent_column") + 1}).materialize() @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_column requires PyArrow >= 20.0.0", + reason="with_columns requires PyArrow >= 20.0.0", ) -def test_with_column_multiple_expressions( +def test_with_columns_multiple_expressions( ray_start_regular_shared, target_max_block_size_infinite_or_default ): - """Verify that `with_column` correctly handles multiple expressions at once.""" + """Verify that `with_columns` correctly handles multiple expressions at once.""" ds = ray.data.range(5) - ds = ds.with_column("plus_one", col("id") + 1) - ds = ds.with_column("times_two", col("id") * 2) - ds = ds.with_column("ten_minus_id", 10 - col("id")) + exprs = { + "plus_one": col("id") + 1, + "times_two": col("id") * 2, + "ten_minus_id": 10 - col("id"), + } + + ds = ds.with_columns(exprs) first_row = ds.take(1)[0] assert first_row["id"] == 0 From dc17fdd9ca37d2a049d7f6dbb0998882f16a2f8f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 9 Aug 2025 13:38:13 -0700 Subject: [PATCH 0595/1566] [core] shorten more on the test name (#55450) the name was still not sort enough Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_execution/test/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/core_worker/task_execution/test/BUILD.bazel b/src/ray/core_worker/task_execution/test/BUILD.bazel index 731ce60abcdb..261846d87063 100644 --- a/src/ray/core_worker/task_execution/test/BUILD.bazel +++ b/src/ray/core_worker/task_execution/test/BUILD.bazel @@ -25,7 +25,7 @@ ray_cc_test( # Test name is shortened for running on Windows. ray_cc_test( - name = "concurrency_grp_mgr_test", + name = "concrncy_grp_mgr_test", srcs = ["concurrency_group_manager_test.cc"], tags = ["team:core"], deps = [ From 8a86cbfee7691e4caf33ab5e14d02bbd4030148c Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Sat, 9 Aug 2025 15:31:13 -0700 Subject: [PATCH 0596/1566] [ci] raydepsets: enable isort (#55455) - enabling isort for raydepsets - sorting imports for raydepsets --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 13 +++++++------ ci/raydepsets/test_cli.py | 28 ++++++++++++++-------------- ci/raydepsets/testing_utils.py | 1 + ci/raydepsets/workspace.py | 5 +++-- pyproject.toml | 7 ++++++- 5 files changed, 31 insertions(+), 23 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 41f4e6382685..6ecadca48917 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,13 +1,14 @@ -import click -from pathlib import Path -from ci.raydepsets.workspace import Workspace, Depset -from typing import List -import subprocess import platform +import subprocess +from pathlib import Path +from typing import List, Optional + +import click import runfiles -from typing import Optional from networkx import DiGraph, topological_sort +from ci.raydepsets.workspace import Depset, Workspace + DEFAULT_UV_FLAGS = """ --generate-hashes --strip-extras diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/test_cli.py index b7cb3af62b8d..1db2887d31fe 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/test_cli.py @@ -1,34 +1,34 @@ -import pytest -import sys -from typing import Optional -from pathlib import Path -import subprocess import shutil +import subprocess +import sys import tempfile import unittest +from pathlib import Path +from typing import Optional +import pytest import runfiles +from click.testing import CliRunner from networkx import topological_sort from ci.raydepsets.cli import ( - load, + DEFAULT_UV_FLAGS, DependencySetManager, - _uv_binary, - _override_uv_flags, + Depset, _append_uv_flags, _flatten_flags, - Depset, - DEFAULT_UV_FLAGS, + _override_uv_flags, + _uv_binary, + load, ) -from ci.raydepsets.workspace import Workspace -from click.testing import CliRunner from ci.raydepsets.testing_utils import ( + append_to_file, copy_data_to_tmpdir, replace_in_file, - save_packages_to_file, save_file_as, - append_to_file, + save_packages_to_file, ) +from ci.raydepsets.workspace import Workspace _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() diff --git a/ci/raydepsets/testing_utils.py b/ci/raydepsets/testing_utils.py index 13d6d9b373a0..ee6040df5e41 100644 --- a/ci/raydepsets/testing_utils.py +++ b/ci/raydepsets/testing_utils.py @@ -1,6 +1,7 @@ """Shared test utilities for raydepsets tests.""" import shutil + import runfiles _REPO_NAME = "com_github_ray_project_ray" diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index ed3f8652ca40..647b2127e1ca 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -1,7 +1,8 @@ -import yaml +import os from dataclasses import dataclass, field from typing import List, Optional -import os + +import yaml @dataclass diff --git a/pyproject.toml b/pyproject.toml index a8287a17047f..8ae06c326372 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,7 +65,12 @@ afterray = ["psutil", "setproctitle"] "python/ray/setup-dev.py" = ["I"] "python/ray/cloudpickle/*" = ["I"] "python/ray/dag/*.py" = ["I"] -"ci/*" = ["I"] +"ci/lint/*" = ["I"] +"ci/pipeline/*" = ["I"] +"ci/ray_ci/*" = ["I"] +"ci/build/*" = ["I"] +"ci/env/*" = ["I"] +"ci/repro-ci.py" = ["I"] "python/ray/includes/*" = ["I"] "python/ray/internal/*" = ["I"] "python/ray/ray_operator/*" = ["I"] From 7794cded3abff04fada54b57ee41f797aea065d9 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 9 Aug 2025 16:26:16 -0700 Subject: [PATCH 0597/1566] [core] give `should_fetch_cluster_id_` an init value (#55456) fixes core worker's ubsan test, makes sure it is a bool value. `CoreWorkOptions` contains a `GcsClientOptions` which is initialized with default constructor. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_client/gcs_client.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_client/gcs_client.h b/src/ray/gcs/gcs_client/gcs_client.h index eb088f3f7564..3c339bc8ff50 100644 --- a/src/ray/gcs/gcs_client/gcs_client.h +++ b/src/ray/gcs/gcs_client/gcs_client.h @@ -87,7 +87,7 @@ class GcsClientOptions { std::string gcs_address_; int gcs_port_ = 0; ClusterID cluster_id_; - bool should_fetch_cluster_id_; + bool should_fetch_cluster_id_ = false; }; /// \class GcsClient From 87fe2025a03affa4763734736c92142d5e9ca902 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sun, 10 Aug 2025 05:47:09 -0400 Subject: [PATCH 0598/1566] [core] Congratulate the user for a ray check failure and ask them to file an issue (#55276) Signed-off-by: dayshah Signed-off-by: Dhyey Shah Co-authored-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/util/logging.h | 13 ++++++++----- src/ray/util/tests/event_test.cc | 8 ++++++-- 2 files changed, 14 insertions(+), 7 deletions(-) diff --git a/src/ray/util/logging.h b/src/ray/util/logging.h index 4a010ae9b8e1..040a609f9722 100644 --- a/src/ray/util/logging.h +++ b/src/ray/util/logging.h @@ -139,11 +139,14 @@ enum class RayLogLevel { #define RAY_IGNORE_EXPR(expr) ((void)(expr)) -#define RAY_CHECK_WITH_DISPLAY(condition, display) \ - RAY_PREDICT_TRUE((condition)) \ - ? RAY_IGNORE_EXPR(0) \ - : ::ray::Voidify() & (::ray::RayLog(__FILE__, __LINE__, ray::RayLogLevel::FATAL) \ - << " Check failed: " display " ") +#define RAY_CHECK_WITH_DISPLAY(condition, display) \ + RAY_PREDICT_TRUE((condition)) \ + ? RAY_IGNORE_EXPR(0) \ + : ::ray::Voidify() & (::ray::RayLog(__FILE__, __LINE__, ray::RayLogLevel::FATAL) \ + << " An unexpected system state has occurred. You have likely " \ + "discovered a bug in Ray. Please report this issue at " \ + "https://github.com/ray-project/ray/issues and we'll work " \ + "with you to fix it. Check failed: " display " ") #define RAY_CHECK(condition) RAY_CHECK_WITH_DISPLAY(condition, #condition) diff --git a/src/ray/util/tests/event_test.cc b/src/ray/util/tests/event_test.cc index 60821bcbc699..6f0b00320a7c 100644 --- a/src/ray/util/tests/event_test.cc +++ b/src/ray/util/tests/event_test.cc @@ -594,8 +594,12 @@ TEST_F(EventTest, TestRayCheckAbort) { "FATAL", "RAY_FATAL_CHECK_FAILED", "NULL"); - EXPECT_THAT(ele_1.message(), - testing::HasSubstr("Check failed: 1 < 0 incorrect test case")); + EXPECT_THAT( + ele_1.message(), + testing::HasSubstr( + "An unexpected system state has occurred. You have likely discovered a bug in " + "Ray. Please report this issue at https://github.com/ray-project/ray/issues " + "and we'll work with you to fix it. Check failed: 1 < 0 incorrect test case")); EXPECT_THAT(ele_1.message(), testing::HasSubstr("*** StackTrace Information ***")); EXPECT_THAT(ele_1.message(), testing::HasSubstr("ray::RayLog::~RayLog()")); } From ed5922bfd114932b8366e99b4d462ec23e772c5b Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Sun, 10 Aug 2025 19:03:15 +0530 Subject: [PATCH 0599/1566] add _common directory to the packages to link (#55351) - add the `_common` dierctory to work with the dev-setup --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/setup-dev.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/setup-dev.py b/python/ray/setup-dev.py index 2585da4e4f81..372ee95912ef 100755 --- a/python/ray/setup-dev.py +++ b/python/ray/setup-dev.py @@ -165,6 +165,7 @@ def do_link(package, force=False, skip_list=None, allow_list=None, local_path=No "widgets": None, "cluster_utils.py": None, "_private": None, + "_common": None, "dashboard": None, } From 2064c9f5e2f5affba1e18ab4f5f9138164abac6b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Sun, 10 Aug 2025 16:50:38 -0700 Subject: [PATCH 0600/1566] [ci] isorting ci/* (#55465) - removing ci directories from the isort exclude list - ran isort on the ci directory Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/build/get_build_info.py | 2 +- ci/env/check_minimal_install.py | 2 +- ci/env/setup_credentials.py | 3 +- ci/lint/check_cpp_files_inclusion.py | 2 +- ci/pipeline/determine_tests_to_run.py | 3 +- ci/pipeline/test_conditional_testing.py | 2 +- ci/ray_ci/anyscale_docker_container.py | 2 +- .../determine_microcheck_step_ids.py | 9 +++-- .../automation/determine_microcheck_tests.py | 9 +++-- ci/ray_ci/automation/docker_tags_lib.py | 22 +++++------ ci/ray_ci/automation/filter_tests.py | 3 +- ci/ray_ci/automation/generate_index.py | 6 +-- ci/ray_ci/automation/get_contributors.py | 2 +- ci/ray_ci/automation/list_docker_tags.py | 7 ++-- ci/ray_ci/automation/pypi_lib.py | 4 +- ci/ray_ci/automation/ray_wheels_lib.py | 5 ++- ci/ray_ci/automation/test_db_bot.py | 4 +- .../test_determine_microcheck_tests.py | 8 ++-- ci/ray_ci/automation/test_docker_tags_lib.py | 37 ++++++++++--------- ci/ray_ci/automation/test_pypi_lib.py | 13 ++++--- ci/ray_ci/automation/test_ray_wheels_lib.py | 19 +++++----- .../automation/test_update_version_lib.py | 6 +-- ci/ray_ci/automation/update_version.py | 3 +- ci/ray_ci/automation/upload_wheels_pypi.py | 8 ++-- ci/ray_ci/automation/weekly_green_metric.py | 5 +-- ci/ray_ci/bazel_sharding.py | 6 +-- ci/ray_ci/bisect/bisect_test.py | 10 ++--- ci/ray_ci/bisect/bisector.py | 5 ++- ci/ray_ci/bisect/generic_validator.py | 6 +-- ci/ray_ci/bisect/macos_validator.py | 2 +- ci/ray_ci/bisect/test_bisector.py | 7 ++-- ci/ray_ci/bisect/test_generic_validator.py | 6 +-- ci/ray_ci/builder.py | 12 +++--- ci/ray_ci/container.py | 6 +-- ci/ray_ci/doc/api.py | 8 ++-- ci/ray_ci/doc/autodoc.py | 5 +-- ci/ray_ci/doc/build_cache.py | 7 ++-- ci/ray_ci/doc/cmd_build.py | 7 ++-- ci/ray_ci/doc/cmd_check_api_discrepancy.py | 4 +- ci/ray_ci/doc/mock/__init__.py | 3 +- ci/ray_ci/doc/test_api.py | 5 ++- ci/ray_ci/doc/test_autodoc.py | 5 ++- ci/ray_ci/doc/test_build_cache.py | 5 ++- ci/ray_ci/doc/test_module.py | 3 +- ci/ray_ci/doc/test_update_cache_env.py | 8 ++-- ci/ray_ci/docker_container.py | 5 +-- ci/ray_ci/linux_container.py | 2 +- ci/ray_ci/pipeline/gap_filling_scheduler.py | 3 +- ci/ray_ci/pipeline/scheduler.py | 6 +-- .../pipeline/test_gap_filling_scheduler.py | 2 +- ci/ray_ci/ray_docker_container.py | 7 ++-- ci/ray_ci/test_anyscale_docker_container.py | 4 +- ci/ray_ci/test_base.py | 2 +- ci/ray_ci/test_bazel_sharding.py | 5 ++- ci/ray_ci/test_builder_container.py | 5 ++- ci/ray_ci/test_linux_container.py | 1 + ci/ray_ci/test_linux_tester_container.py | 10 ++--- ci/ray_ci/test_privileged.py | 4 +- ci/ray_ci/test_ray_docker_container.py | 5 ++- ci/ray_ci/test_tester.py | 10 ++--- ci/ray_ci/test_utils.py | 7 ++-- ci/ray_ci/test_windows_container.py | 7 ++-- ci/ray_ci/test_windows_tester_container.py | 2 +- ci/ray_ci/tester.py | 16 ++++---- ci/ray_ci/tester_container.py | 13 +++---- ci/ray_ci/utils.py | 10 ++--- ci/ray_ci/windows_builder_container.py | 2 +- ci/ray_ci/windows_container.py | 3 +- ci/ray_ci/windows_tester_container.py | 2 +- ci/repro-ci.py | 2 +- pyproject.toml | 6 --- 71 files changed, 227 insertions(+), 220 deletions(-) diff --git a/ci/build/get_build_info.py b/ci/build/get_build_info.py index b22918551788..ae0758382b26 100755 --- a/ci/build/get_build_info.py +++ b/ci/build/get_build_info.py @@ -10,9 +10,9 @@ } """ +import json import os import platform -import json def gha_get_self_url(): diff --git a/ci/env/check_minimal_install.py b/ci/env/check_minimal_install.py index 8bf4630ee210..c9ec2255aed6 100644 --- a/ci/env/check_minimal_install.py +++ b/ci/env/check_minimal_install.py @@ -8,9 +8,9 @@ It also ensures the correct Python version. """ -from typing import List import argparse import sys +from typing import List # These are taken from `setup.py` for ray[default] DEFAULT_BLACKLIST = [ diff --git a/ci/env/setup_credentials.py b/ci/env/setup_credentials.py index 2f03b1c766a4..86a886cf75aa 100644 --- a/ci/env/setup_credentials.py +++ b/ci/env/setup_credentials.py @@ -7,10 +7,11 @@ export WANDB_API_KEY=abcd export COMET_API_KEY=efgh """ -import boto3 import json import sys +import boto3 + AWS_AIR_SECRETS_ARN = ( "arn:aws:secretsmanager:us-west-2:029272617770:secret:" "oss-ci/ray-air-test-secrets20221014164754935800000002-UONblX" diff --git a/ci/lint/check_cpp_files_inclusion.py b/ci/lint/check_cpp_files_inclusion.py index b1e4df83d19f..d849b0f765eb 100755 --- a/ci/lint/check_cpp_files_inclusion.py +++ b/ci/lint/check_cpp_files_inclusion.py @@ -2,8 +2,8 @@ """This script checks whether header file inclusion for ray core C++ code is correct. """ -import sys import re +import sys def check_ray_core_inclusion(fname: str): diff --git a/ci/pipeline/determine_tests_to_run.py b/ci/pipeline/determine_tests_to_run.py index 2b7e394345f5..61939c5adacb 100644 --- a/ci/pipeline/determine_tests_to_run.py +++ b/ci/pipeline/determine_tests_to_run.py @@ -5,9 +5,8 @@ import os import subprocess import sys -from typing import List, Optional, Set, Tuple from pprint import pformat - +from typing import List, Optional, Set, Tuple _ALL_TAGS = set( """ diff --git a/ci/pipeline/test_conditional_testing.py b/ci/pipeline/test_conditional_testing.py index 0e8dd6ba8420..b7b577dfa59a 100644 --- a/ci/pipeline/test_conditional_testing.py +++ b/ci/pipeline/test_conditional_testing.py @@ -4,8 +4,8 @@ import tempfile from typing import List, Set -import runfiles import pytest +import runfiles import yaml from ci.pipeline.determine_tests_to_run import TagRule, TagRuleSet diff --git a/ci/ray_ci/anyscale_docker_container.py b/ci/ray_ci/anyscale_docker_container.py index b2b5aa1bd169..4025951268b7 100644 --- a/ci/ray_ci/anyscale_docker_container.py +++ b/ci/ray_ci/anyscale_docker_container.py @@ -1,5 +1,5 @@ -from ci.ray_ci.docker_container import DockerContainer from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY +from ci.ray_ci.docker_container import DockerContainer class AnyscaleDockerContainer(DockerContainer): diff --git a/ci/ray_ci/automation/determine_microcheck_step_ids.py b/ci/ray_ci/automation/determine_microcheck_step_ids.py index 4d15da5f8e6e..097afee56aca 100644 --- a/ci/ray_ci/automation/determine_microcheck_step_ids.py +++ b/ci/ray_ci/automation/determine_microcheck_step_ids.py @@ -1,14 +1,15 @@ -import click import os -from ci.ray_ci.utils import ci_init +import click from ray_release.test import ( - Test, LINUX_TEST_PREFIX, - WINDOWS_TEST_PREFIX, MACOS_TEST_PREFIX, + WINDOWS_TEST_PREFIX, + Test, ) +from ci.ray_ci.utils import ci_init + BAZEL_WORKSPACE_DIR = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") diff --git a/ci/ray_ci/automation/determine_microcheck_tests.py b/ci/ray_ci/automation/determine_microcheck_tests.py index ba40521860bb..67f914d4dff4 100644 --- a/ci/ray_ci/automation/determine_microcheck_tests.py +++ b/ci/ray_ci/automation/determine_microcheck_tests.py @@ -1,12 +1,13 @@ -import click -from typing import List, Set, Dict +from typing import Dict, List, Set -from ci.ray_ci.utils import logger, ci_init +import click from ray_release.configs.global_config import get_global_config -from ray_release.test import Test from ray_release.result import ResultStatus +from ray_release.test import Test from ray_release.test_automation.ci_state_machine import CITestStateMachine +from ci.ray_ci.utils import ci_init, logger + # The s3 prefix for the tests that run on Linux. It comes from the bazel prefix rule # linux:// with the character "/" replaced by "_" for s3 compatibility LINUX_TEST_PREFIX = "linux:__" diff --git a/ci/ray_ci/automation/docker_tags_lib.py b/ci/ray_ci/automation/docker_tags_lib.py index 99d3b1f3f0a0..6e780b230c4c 100644 --- a/ci/ray_ci/automation/docker_tags_lib.py +++ b/ci/ray_ci/automation/docker_tags_lib.py @@ -1,25 +1,25 @@ -import subprocess -import re -from datetime import datetime -from typing import List, Optional, Callable, Tuple import os -import sys -from dateutil import parser import platform +import re +import subprocess +import sys +from datetime import datetime +from typing import Callable, List, Optional, Tuple -import docker import requests import runfiles +from dateutil import parser +import docker from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, DEFAULT_PYTHON_VERSION from ci.ray_ci.docker_container import ( + ARCHITECTURES_RAY, + ARCHITECTURES_RAY_ML, GPU_PLATFORM, - PYTHON_VERSIONS_RAY, - PYTHON_VERSIONS_RAY_ML, PLATFORMS_RAY, PLATFORMS_RAY_ML, - ARCHITECTURES_RAY, - ARCHITECTURES_RAY_ML, + PYTHON_VERSIONS_RAY, + PYTHON_VERSIONS_RAY_ML, RayType, ) from ci.ray_ci.utils import logger diff --git a/ci/ray_ci/automation/filter_tests.py b/ci/ray_ci/automation/filter_tests.py index 2444902515ab..84c053498e89 100644 --- a/ci/ray_ci/automation/filter_tests.py +++ b/ci/ray_ci/automation/filter_tests.py @@ -1,7 +1,8 @@ import sys + import click -from ci.ray_ci.utils import filter_tests, ci_init +from ci.ray_ci.utils import ci_init, filter_tests @click.command() diff --git a/ci/ray_ci/automation/generate_index.py b/ci/ray_ci/automation/generate_index.py index 1cea2c5901ff..ad6844b62bec 100644 --- a/ci/ray_ci/automation/generate_index.py +++ b/ci/ray_ci/automation/generate_index.py @@ -1,11 +1,11 @@ import click -from ci.ray_ci.automation.docker_tags_lib import list_image_tags, generate_index +from ci.ray_ci.automation.docker_tags_lib import generate_index, list_image_tags from ci.ray_ci.docker_container import ( - RayType, + ARCHITECTURES_RAY, PLATFORMS_RAY, PYTHON_VERSIONS_RAY, - ARCHITECTURES_RAY, + RayType, ) diff --git a/ci/ray_ci/automation/get_contributors.py b/ci/ray_ci/automation/get_contributors.py index 5f78ac0b47ab..f2c251a1b834 100644 --- a/ci/ray_ci/automation/get_contributors.py +++ b/ci/ray_ci/automation/get_contributors.py @@ -1,7 +1,7 @@ import os import sys -from subprocess import check_output from collections import defaultdict +from subprocess import check_output import click from github import Github diff --git a/ci/ray_ci/automation/list_docker_tags.py b/ci/ray_ci/automation/list_docker_tags.py index 1876a18f4aa6..8a95dc84b223 100644 --- a/ci/ray_ci/automation/list_docker_tags.py +++ b/ci/ray_ci/automation/list_docker_tags.py @@ -1,14 +1,15 @@ -import click import sys +import click + from ci.ray_ci.automation.docker_tags_lib import list_image_tags from ci.ray_ci.docker_container import ( + ARCHITECTURES_RAY, + ARCHITECTURES_RAY_ML, PLATFORMS_RAY, PLATFORMS_RAY_ML, PYTHON_VERSIONS_RAY, PYTHON_VERSIONS_RAY_ML, - ARCHITECTURES_RAY, - ARCHITECTURES_RAY_ML, RayType, ) diff --git a/ci/ray_ci/automation/pypi_lib.py b/ci/ray_ci/automation/pypi_lib.py index 31aeea2aae66..df60d8759928 100644 --- a/ci/ray_ci/automation/pypi_lib.py +++ b/ci/ray_ci/automation/pypi_lib.py @@ -1,7 +1,7 @@ -import subprocess import os -from typing import List +import subprocess import sys +from typing import List from ray_release.aws import get_secret_token diff --git a/ci/ray_ci/automation/ray_wheels_lib.py b/ci/ray_ci/automation/ray_wheels_lib.py index 2e16002a105f..aa46ac4f7769 100644 --- a/ci/ray_ci/automation/ray_wheels_lib.py +++ b/ci/ray_ci/automation/ray_wheels_lib.py @@ -1,6 +1,7 @@ -import boto3 -from typing import List import os +from typing import List + +import boto3 from ci.ray_ci.utils import logger diff --git a/ci/ray_ci/automation/test_db_bot.py b/ci/ray_ci/automation/test_db_bot.py index 186d706a739d..5d562309ac63 100644 --- a/ci/ray_ci/automation/test_db_bot.py +++ b/ci/ray_ci/automation/test_db_bot.py @@ -1,10 +1,10 @@ import os import click +from ray_release.configs.global_config import get_global_config -from ci.ray_ci.utils import logger, ci_init from ci.ray_ci.tester_container import TesterContainer -from ray_release.configs.global_config import get_global_config +from ci.ray_ci.utils import ci_init, logger @click.command() diff --git a/ci/ray_ci/automation/test_determine_microcheck_tests.py b/ci/ray_ci/automation/test_determine_microcheck_tests.py index 71f055591902..75083482ca3a 100644 --- a/ci/ray_ci/automation/test_determine_microcheck_tests.py +++ b/ci/ray_ci/automation/test_determine_microcheck_tests.py @@ -1,19 +1,19 @@ -import sys import json +import sys from typing import List import pytest +from ray_release.result import ResultStatus +from ray_release.test import Test, TestResult from ci.ray_ci.automation.determine_microcheck_tests import ( _get_failed_commits, + _get_failed_tests_from_master_branch, _get_flaky_tests, _get_test_with_minimal_coverage, - _get_failed_tests_from_master_branch, _update_high_impact_tests, ) from ci.ray_ci.utils import ci_init -from ray_release.result import ResultStatus -from ray_release.test import TestResult, Test ci_init() diff --git a/ci/ray_ci/automation/test_docker_tags_lib.py b/ci/ray_ci/automation/test_docker_tags_lib.py index e36b9fba1b18..fea87eca42ce 100644 --- a/ci/ray_ci/automation/test_docker_tags_lib.py +++ b/ci/ray_ci/automation/test_docker_tags_lib.py @@ -1,36 +1,37 @@ -from unittest import mock +import platform +import random +import shutil +import subprocess import sys +import tempfile +import threading +import time from datetime import datetime, timezone +from unittest import mock + import pytest import requests -import subprocess -import tempfile import runfiles -import platform -import time -import threading -import shutil -import random from ci.ray_ci.automation.docker_tags_lib import ( + AuthTokenException, + DockerHubRateLimitException, + RetrieveImageConfigException, _get_docker_auth_token, _get_docker_hub_auth_token, _get_image_creation_time, + _is_release_tag, + _list_recent_commit_short_shas, backup_release_tags, + call_crane_copy, + check_image_ray_commit, copy_tag_to_aws_ecr, delete_tag, - _list_recent_commit_short_shas, + generate_index, + get_ray_commit, + list_image_tags, query_tags_from_docker_hub, query_tags_from_docker_with_oci, - _is_release_tag, - list_image_tags, - get_ray_commit, - check_image_ray_commit, - generate_index, - AuthTokenException, - RetrieveImageConfigException, - DockerHubRateLimitException, - call_crane_copy, ) diff --git a/ci/ray_ci/automation/test_pypi_lib.py b/ci/ray_ci/automation/test_pypi_lib.py index 9cb23f27c3b4..17e787369024 100644 --- a/ci/ray_ci/automation/test_pypi_lib.py +++ b/ci/ray_ci/automation/test_pypi_lib.py @@ -1,14 +1,15 @@ -import pytest -from unittest import mock -import tempfile import os -import sys import subprocess +import sys +import tempfile +from unittest import mock + +import pytest from ci.ray_ci.automation.pypi_lib import ( - upload_wheels_to_pypi, - _get_pypi_url, _get_pypi_token, + _get_pypi_url, + upload_wheels_to_pypi, ) diff --git a/ci/ray_ci/automation/test_ray_wheels_lib.py b/ci/ray_ci/automation/test_ray_wheels_lib.py index aef36be327ae..0b8d46bcdf8d 100644 --- a/ci/ray_ci/automation/test_ray_wheels_lib.py +++ b/ci/ray_ci/automation/test_ray_wheels_lib.py @@ -1,20 +1,21 @@ -from unittest import mock +import os import sys import tempfile -import os -from botocore.exceptions import ClientError +from unittest import mock + import pytest +from botocore.exceptions import ClientError from ci.ray_ci.automation.ray_wheels_lib import ( - _get_wheel_names, - download_wheel_from_s3, - download_ray_wheels_from_s3, - _check_downloaded_wheels, - PYTHON_VERSIONS, ALL_PLATFORMS, + PYTHON_VERSIONS, RAY_TYPES, - add_build_tag_to_wheels, + _check_downloaded_wheels, + _get_wheel_names, add_build_tag_to_wheel, + add_build_tag_to_wheels, + download_ray_wheels_from_s3, + download_wheel_from_s3, ) SAMPLE_WHEELS = [ diff --git a/ci/ray_ci/automation/test_update_version_lib.py b/ci/ray_ci/automation/test_update_version_lib.py index cd43d3142fde..ca51369fd084 100644 --- a/ci/ray_ci/automation/test_update_version_lib.py +++ b/ci/ray_ci/automation/test_update_version_lib.py @@ -1,13 +1,13 @@ -from unittest import mock +import os import sys import tempfile -import os +from unittest import mock import pytest from ci.ray_ci.automation.update_version_lib import ( - list_java_files, get_current_version, + list_java_files, update_file_version, ) diff --git a/ci/ray_ci/automation/update_version.py b/ci/ray_ci/automation/update_version.py index eec6aed47bfe..221e49ca59e2 100644 --- a/ci/ray_ci/automation/update_version.py +++ b/ci/ray_ci/automation/update_version.py @@ -1,7 +1,8 @@ -import click import os from typing import Optional +import click + from ci.ray_ci.automation.update_version_lib import ( get_current_version, update_file_version, diff --git a/ci/ray_ci/automation/upload_wheels_pypi.py b/ci/ray_ci/automation/upload_wheels_pypi.py index 784f57a52453..48859cacb7d9 100644 --- a/ci/ray_ci/automation/upload_wheels_pypi.py +++ b/ci/ray_ci/automation/upload_wheels_pypi.py @@ -1,11 +1,13 @@ -import click import tempfile from typing import Optional + +import click + +from ci.ray_ci.automation.pypi_lib import upload_wheels_to_pypi from ci.ray_ci.automation.ray_wheels_lib import ( - download_ray_wheels_from_s3, add_build_tag_to_wheels, + download_ray_wheels_from_s3, ) -from ci.ray_ci.automation.pypi_lib import upload_wheels_to_pypi @click.command() diff --git a/ci/ray_ci/automation/weekly_green_metric.py b/ci/ray_ci/automation/weekly_green_metric.py index ab66bd893662..230a14691dea 100644 --- a/ci/ray_ci/automation/weekly_green_metric.py +++ b/ci/ray_ci/automation/weekly_green_metric.py @@ -1,14 +1,13 @@ import json -import time import sys +import time import boto3 import click - -from ci.ray_ci.utils import logger, ci_init from ray_release.test_automation.state_machine import TestStateMachine from ray_release.util import get_write_state_machine_aws_bucket +from ci.ray_ci.utils import ci_init, logger AWS_WEEKLY_GREEN_METRIC = "ray_weekly_green_metric" diff --git a/ci/ray_ci/bazel_sharding.py b/ci/ray_ci/bazel_sharding.py index 93be178fd5a9..d40683c45f6d 100644 --- a/ci/ray_ci/bazel_sharding.py +++ b/ci/ray_ci/bazel_sharding.py @@ -16,9 +16,6 @@ # BASED ON https://github.com/philwo/bazel-utils/blob/main/sharding/sharding.py -from collections import defaultdict -from dataclasses import dataclass -from typing import Iterable, List, Optional, Set, Tuple import argparse import os import re @@ -26,6 +23,9 @@ import subprocess import sys import xml.etree.ElementTree as ET +from collections import defaultdict +from dataclasses import dataclass +from typing import Iterable, List, Optional, Set, Tuple @dataclass diff --git a/ci/ray_ci/bisect/bisect_test.py b/ci/ray_ci/bisect/bisect_test.py index 6defa6f250b3..2fa8466572dd 100644 --- a/ci/ray_ci/bisect/bisect_test.py +++ b/ci/ray_ci/bisect/bisect_test.py @@ -1,17 +1,17 @@ -import click import json import os -from ci.ray_ci.utils import logger, ci_init -from ci.ray_ci.bisect.macos_validator import MacOSValidator -from ci.ray_ci.bisect.generic_validator import GenericValidator -from ci.ray_ci.bisect.bisector import Bisector +import click from ray_release.test import ( Test, TestType, ) from ray_release.test_automation.ci_state_machine import CITestStateMachine +from ci.ray_ci.bisect.bisector import Bisector +from ci.ray_ci.bisect.generic_validator import GenericValidator +from ci.ray_ci.bisect.macos_validator import MacOSValidator +from ci.ray_ci.utils import ci_init, logger # This is the directory where the ray repository is mounted in the container RAYCI_CHECKOUT_DIR_MOUNT = "/ray" diff --git a/ci/ray_ci/bisect/bisector.py b/ci/ray_ci/bisect/bisector.py index 822c391ce5cd..095f48d09876 100644 --- a/ci/ray_ci/bisect/bisector.py +++ b/ci/ray_ci/bisect/bisector.py @@ -1,10 +1,11 @@ import subprocess from typing import List, Optional -from ci.ray_ci.utils import logger -from ci.ray_ci.bisect.validator import Validator from ray_release.test import Test +from ci.ray_ci.bisect.validator import Validator +from ci.ray_ci.utils import logger + class Bisector: def __init__( diff --git a/ci/ray_ci/bisect/generic_validator.py b/ci/ray_ci/bisect/generic_validator.py index 636ed9246dda..3142a0eed463 100644 --- a/ci/ray_ci/bisect/generic_validator.py +++ b/ci/ray_ci/bisect/generic_validator.py @@ -1,12 +1,12 @@ import time from pybuildkite.buildkite import Buildkite +from ray_release.aws import get_secret_token +from ray_release.configs.global_config import get_global_config +from ray_release.test import Test from ci.ray_ci.bisect.validator import Validator from ci.ray_ci.utils import logger -from ray_release.test import Test -from ray_release.aws import get_secret_token -from ray_release.configs.global_config import get_global_config BUILDKITE_ORGANIZATION = "ray-project" BUILDKITE_POSTMERGE_PIPELINE = "postmerge" diff --git a/ci/ray_ci/bisect/macos_validator.py b/ci/ray_ci/bisect/macos_validator.py index 2112b9db0704..e1f7beb4e71f 100644 --- a/ci/ray_ci/bisect/macos_validator.py +++ b/ci/ray_ci/bisect/macos_validator.py @@ -1,10 +1,10 @@ import os import subprocess -from ci.ray_ci.bisect.validator import Validator from ray_release.bazel import bazel_runfile from ray_release.test import Test +from ci.ray_ci.bisect.validator import Validator TEST_SCRIPT = "ci/ray_ci/bisect/macos_validator.sh" diff --git a/ci/ray_ci/bisect/test_bisector.py b/ci/ray_ci/bisect/test_bisector.py index 0928be55e2dd..975cda7e18ce 100644 --- a/ci/ray_ci/bisect/test_bisector.py +++ b/ci/ray_ci/bisect/test_bisector.py @@ -1,11 +1,12 @@ import sys -import pytest from unittest import mock +import pytest +from ray_release.test import Test + from ci.ray_ci.bisect.bisector import Bisector -from ci.ray_ci.bisect.validator import Validator from ci.ray_ci.bisect.macos_validator import MacOSValidator -from ray_release.test import Test +from ci.ray_ci.bisect.validator import Validator class MockValidator(Validator): diff --git a/ci/ray_ci/bisect/test_generic_validator.py b/ci/ray_ci/bisect/test_generic_validator.py index e5314a6d68d3..3c3d4ea857c7 100644 --- a/ci/ray_ci/bisect/test_generic_validator.py +++ b/ci/ray_ci/bisect/test_generic_validator.py @@ -1,11 +1,11 @@ -import time import sys -import pytest +import time from unittest import mock +import pytest +from ray_release.test import Test from ci.ray_ci.bisect.generic_validator import WAIT, GenericValidator -from ray_release.test import Test START = time.time() diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 3f3ba27f8a96..62edca1171c2 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -2,19 +2,19 @@ import click +from ci.ray_ci.anyscale_docker_container import AnyscaleDockerContainer from ci.ray_ci.builder_container import ( + ARCHITECTURE, + BUILD_TYPES, DEFAULT_PYTHON_VERSION, PYTHON_VERSIONS, - BUILD_TYPES, - ARCHITECTURE, BuilderContainer, ) -from ci.ray_ci.windows_builder_container import WindowsBuilderContainer +from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.docker_container import PLATFORMS_RAY from ci.ray_ci.ray_docker_container import RayDockerContainer -from ci.ray_ci.anyscale_docker_container import AnyscaleDockerContainer -from ci.ray_ci.container import _DOCKER_ECR_REPO -from ci.ray_ci.utils import logger, docker_login, ci_init +from ci.ray_ci.utils import ci_init, docker_login, logger +from ci.ray_ci.windows_builder_container import WindowsBuilderContainer @click.command() diff --git a/ci/ray_ci/container.py b/ci/ray_ci/container.py index 44bda3117273..d8ec6a37a6bb 100644 --- a/ci/ray_ci/container.py +++ b/ci/ray_ci/container.py @@ -1,11 +1,9 @@ import abc import os +import re import subprocess import sys -import re - -from typing import List, Tuple, Optional - +from typing import List, Optional, Tuple # Regex pattern to match CUDA copyright header with any version _CUDA_COPYRIGHT_PATTERN = r"""========== diff --git a/ci/ray_ci/doc/api.py b/ci/ray_ci/doc/api.py index 265bad77b2a0..f570b15be0e2 100644 --- a/ci/ray_ci/doc/api.py +++ b/ci/ray_ci/doc/api.py @@ -1,11 +1,9 @@ -import re import importlib import inspect - -from enum import Enum +import re from dataclasses import dataclass -from typing import Optional, List, Tuple, Set, Dict - +from enum import Enum +from typing import Dict, List, Optional, Set, Tuple _SPHINX_AUTOSUMMARY_HEADER = ".. autosummary::" _SPHINX_AUTOCLASS_HEADER = ".. autoclass::" diff --git a/ci/ray_ci/doc/autodoc.py b/ci/ray_ci/doc/autodoc.py index 9d2f18b8dd78..2f875488d5e8 100644 --- a/ci/ray_ci/doc/autodoc.py +++ b/ci/ray_ci/doc/autodoc.py @@ -3,12 +3,11 @@ from typing import List, Set from ci.ray_ci.doc.api import ( - API, - _SPHINX_AUTOSUMMARY_HEADER, _SPHINX_AUTOCLASS_HEADER, + _SPHINX_AUTOSUMMARY_HEADER, + API, ) - _SPHINX_CURRENTMODULE_HEADER = ".. currentmodule::" _SPHINX_TOCTREE_HEADER = ".. toctree::" _SPHINX_INCLUDE_HEADER = ".. include::" diff --git a/ci/ray_ci/doc/build_cache.py b/ci/ray_ci/doc/build_cache.py index 4301dbc1204a..9a45d98496ae 100644 --- a/ci/ray_ci/doc/build_cache.py +++ b/ci/ray_ci/doc/build_cache.py @@ -1,14 +1,13 @@ -import tempfile -import subprocess import os import pickle +import subprocess +import tempfile from typing import Set import boto3 - -from ci.ray_ci.utils import logger from ray_release.util import get_write_state_machine_aws_bucket +from ci.ray_ci.utils import logger AWS_CACHE_KEY = "doc_build" ENVIRONMENT_PICKLE = "_build/doctrees/environment.pickle" diff --git a/ci/ray_ci/doc/cmd_build.py b/ci/ray_ci/doc/cmd_build.py index fd89bdf32854..8740980910d1 100644 --- a/ci/ray_ci/doc/cmd_build.py +++ b/ci/ray_ci/doc/cmd_build.py @@ -1,12 +1,11 @@ -import subprocess import os +import subprocess import click +from ray_release.configs.global_config import get_global_config -from ci.ray_ci.utils import logger, ci_init from ci.ray_ci.doc.build_cache import BuildCache - -from ray_release.configs.global_config import get_global_config +from ci.ray_ci.utils import ci_init, logger @click.command() diff --git a/ci/ray_ci/doc/cmd_check_api_discrepancy.py b/ci/ray_ci/doc/cmd_check_api_discrepancy.py index ffdbce7792b0..0112a1a3e121 100644 --- a/ci/ray_ci/doc/cmd_check_api_discrepancy.py +++ b/ci/ray_ci/doc/cmd_check_api_discrepancy.py @@ -1,8 +1,8 @@ import click -from ci.ray_ci.doc.module import Module -from ci.ray_ci.doc.autodoc import Autodoc from ci.ray_ci.doc.api import API +from ci.ray_ci.doc.autodoc import Autodoc +from ci.ray_ci.doc.module import Module from ci.ray_ci.utils import logger TEAM_API_CONFIGS = { diff --git a/ci/ray_ci/doc/mock/__init__.py b/ci/ray_ci/doc/mock/__init__.py index 8491bdf4eb10..8692093685ca 100644 --- a/ci/ray_ci/doc/mock/__init__.py +++ b/ci/ray_ci/doc/mock/__init__.py @@ -1,5 +1,4 @@ -from ci.ray_ci.doc.mock.mock_module import MockClass -from ci.ray_ci.doc.mock.mock_module import mock_function +from ci.ray_ci.doc.mock.mock_module import MockClass, mock_function # classes and functions __all__ = [ diff --git a/ci/ray_ci/doc/test_api.py b/ci/ray_ci/doc/test_api.py index 490d517ffac3..d95417987ba5 100644 --- a/ci/ray_ci/doc/test_api.py +++ b/ci/ray_ci/doc/test_api.py @@ -1,12 +1,13 @@ import sys + import pytest from ci.ray_ci.doc.api import ( + _SPHINX_AUTOCLASS_HEADER, + _SPHINX_AUTOSUMMARY_HEADER, API, AnnotationType, CodeType, - _SPHINX_AUTOCLASS_HEADER, - _SPHINX_AUTOSUMMARY_HEADER, ) from ci.ray_ci.doc.mock.mock_module import mock_function diff --git a/ci/ray_ci/doc/test_autodoc.py b/ci/ray_ci/doc/test_autodoc.py index e340889e8255..cbd7d54eb4f6 100644 --- a/ci/ray_ci/doc/test_autodoc.py +++ b/ci/ray_ci/doc/test_autodoc.py @@ -1,11 +1,12 @@ import os -import tempfile import sys +import tempfile + import pytest +from ci.ray_ci.doc.api import API, AnnotationType, CodeType from ci.ray_ci.doc.autodoc import Autodoc from ci.ray_ci.doc.mock.mock_module import MockClass, mock_function, mock_w00t -from ci.ray_ci.doc.api import API, AnnotationType, CodeType def test_walk(): diff --git a/ci/ray_ci/doc/test_build_cache.py b/ci/ray_ci/doc/test_build_cache.py index 8c45bc97d932..b1070f03b6f2 100644 --- a/ci/ray_ci/doc/test_build_cache.py +++ b/ci/ray_ci/doc/test_build_cache.py @@ -1,10 +1,11 @@ -import sys import os import pickle -import pytest +import sys import tempfile from unittest import mock +import pytest + from ci.ray_ci.doc.build_cache import BuildCache diff --git a/ci/ray_ci/doc/test_module.py b/ci/ray_ci/doc/test_module.py index 3407cfce5fc5..ead02afb7157 100644 --- a/ci/ray_ci/doc/test_module.py +++ b/ci/ray_ci/doc/test_module.py @@ -1,8 +1,9 @@ import sys + import pytest -from ci.ray_ci.doc.module import Module from ci.ray_ci.doc.api import AnnotationType, CodeType +from ci.ray_ci.doc.module import Module def test_walk(): diff --git a/ci/ray_ci/doc/test_update_cache_env.py b/ci/ray_ci/doc/test_update_cache_env.py index a7d2592793d2..88ce8c6894da 100644 --- a/ci/ray_ci/doc/test_update_cache_env.py +++ b/ci/ray_ci/doc/test_update_cache_env.py @@ -1,11 +1,13 @@ -import sys import os import pickle +import sys +import tempfile + import pytest from sphinx.project import Project -import tempfile -from ci.ray_ci.doc.cmd_update_cache_env import update_environment_pickle + from ci.ray_ci.doc.build_cache import ENVIRONMENT_PICKLE +from ci.ray_ci.doc.cmd_update_cache_env import update_environment_pickle class FakeBuildEnv: diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 6e30335b73e1..73a6f3d2879c 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -1,11 +1,10 @@ import os -from typing import List from datetime import datetime from enum import Enum +from typing import List -from ci.ray_ci.linux_container import LinuxContainer from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, DEFAULT_PYTHON_VERSION - +from ci.ray_ci.linux_container import LinuxContainer PLATFORMS_RAY = [ "cpu", diff --git a/ci/ray_ci/linux_container.py b/ci/ray_ci/linux_container.py index 1e865269d25c..44c6d1971d2d 100644 --- a/ci/ray_ci/linux_container.py +++ b/ci/ray_ci/linux_container.py @@ -1,7 +1,7 @@ import os import subprocess import sys -from typing import List, Tuple, Optional +from typing import List, Optional, Tuple from ci.ray_ci.container import Container diff --git a/ci/ray_ci/pipeline/gap_filling_scheduler.py b/ci/ray_ci/pipeline/gap_filling_scheduler.py index 4bcf65cd6b38..52b1d507a977 100644 --- a/ci/ray_ci/pipeline/gap_filling_scheduler.py +++ b/ci/ray_ci/pipeline/gap_filling_scheduler.py @@ -1,10 +1,9 @@ import subprocess from datetime import datetime, timedelta -from typing import List, Dict, Optional, Any, Tuple +from typing import Any, Dict, List, Optional, Tuple from pybuildkite.buildkite import Buildkite - BRANCH = "master" BLOCK_STEP_KEY = "unblock-me" diff --git a/ci/ray_ci/pipeline/scheduler.py b/ci/ray_ci/pipeline/scheduler.py index 75b498fc88ab..a23e271817d6 100644 --- a/ci/ray_ci/pipeline/scheduler.py +++ b/ci/ray_ci/pipeline/scheduler.py @@ -1,10 +1,10 @@ import click - -from ci.ray_ci.utils import ci_init, logger -from ci.ray_ci.pipeline.gap_filling_scheduler import GapFillingScheduler from ray_release.aws import get_secret_token from ray_release.configs.global_config import get_global_config +from ci.ray_ci.pipeline.gap_filling_scheduler import GapFillingScheduler +from ci.ray_ci.utils import ci_init, logger + @click.command() @click.argument("buildkite_organization", type=str) diff --git a/ci/ray_ci/pipeline/test_gap_filling_scheduler.py b/ci/ray_ci/pipeline/test_gap_filling_scheduler.py index 669899275aec..c4e667ee6679 100644 --- a/ci/ray_ci/pipeline/test_gap_filling_scheduler.py +++ b/ci/ray_ci/pipeline/test_gap_filling_scheduler.py @@ -3,7 +3,7 @@ import pytest -from ci.ray_ci.pipeline.gap_filling_scheduler import GapFillingScheduler, BLOCK_STEP_KEY +from ci.ray_ci.pipeline.gap_filling_scheduler import BLOCK_STEP_KEY, GapFillingScheduler @mock.patch( diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index 71d67b72e502..5bc41a1c5cdb 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -1,11 +1,12 @@ import os from typing import List +from ray_release.configs.global_config import get_global_config + +from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, PYTHON_VERSIONS from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.docker_container import DockerContainer -from ci.ray_ci.builder_container import PYTHON_VERSIONS, DEFAULT_ARCHITECTURE -from ci.ray_ci.utils import docker_pull, RAY_VERSION -from ray_release.configs.global_config import get_global_config +from ci.ray_ci.utils import RAY_VERSION, docker_pull class RayDockerContainer(DockerContainer): diff --git a/ci/ray_ci/test_anyscale_docker_container.py b/ci/ray_ci/test_anyscale_docker_container.py index 7f09036aa366..777a98447d6f 100644 --- a/ci/ray_ci/test_anyscale_docker_container.py +++ b/ci/ray_ci/test_anyscale_docker_container.py @@ -1,13 +1,13 @@ -import sys import os +import sys from typing import List from unittest import mock import pytest from ci.ray_ci.anyscale_docker_container import AnyscaleDockerContainer +from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY from ci.ray_ci.test_base import RayCITestBase -from ci.ray_ci.container import _DOCKER_GCP_REGISTRY, _DOCKER_ECR_REPO class TestAnyscaleDockerContainer(RayCITestBase): diff --git a/ci/ray_ci/test_base.py b/ci/ray_ci/test_base.py index e5c5d0b76679..d0cbc4c253bc 100644 --- a/ci/ray_ci/test_base.py +++ b/ci/ray_ci/test_base.py @@ -2,8 +2,8 @@ import unittest from unittest.mock import patch -from ci.ray_ci.builder_container import PYTHON_VERSIONS from ci.ray_ci.builder import DEFAULT_PYTHON_VERSION +from ci.ray_ci.builder_container import PYTHON_VERSIONS from ci.ray_ci.utils import ci_init diff --git a/ci/ray_ci/test_bazel_sharding.py b/ci/ray_ci/test_bazel_sharding.py index 927eb59afe58..74d0e320b3c7 100644 --- a/ci/ray_ci/test_bazel_sharding.py +++ b/ci/ray_ci/test_bazel_sharding.py @@ -1,9 +1,10 @@ -from typing import List -import pytest import os import shutil import sys import tempfile +from typing import List + +import pytest # Required for bazel file_parent = os.path.dirname(__file__) diff --git a/ci/ray_ci/test_builder_container.py b/ci/ray_ci/test_builder_container.py index 47abef000116..eb2e6dc23600 100644 --- a/ci/ray_ci/test_builder_container.py +++ b/ci/ray_ci/test_builder_container.py @@ -1,7 +1,8 @@ import sys -import pytest -from unittest import mock from typing import List +from unittest import mock + +import pytest from ci.ray_ci.builder_container import BuilderContainer diff --git a/ci/ray_ci/test_linux_container.py b/ci/ray_ci/test_linux_container.py index e6c7d693b4bc..3e6e32e1bba3 100644 --- a/ci/ray_ci/test_linux_container.py +++ b/ci/ray_ci/test_linux_container.py @@ -1,4 +1,5 @@ import sys + import pytest from ci.ray_ci.linux_container import LinuxContainer diff --git a/ci/ray_ci/test_linux_tester_container.py b/ci/ray_ci/test_linux_tester_container.py index 831eb5e7f594..bf2003bff15e 100644 --- a/ci/ray_ci/test_linux_tester_container.py +++ b/ci/ray_ci/test_linux_tester_container.py @@ -2,17 +2,17 @@ import os import platform import sys -import pytest import tempfile -from unittest import mock from typing import List, Optional +from unittest import mock + +import pytest +from ray_release.configs.global_config import get_global_config +from ci.ray_ci.container import _DOCKER_ECR_REPO, _RAYCI_BUILD_ID from ci.ray_ci.linux_tester_container import LinuxTesterContainer from ci.ray_ci.tester_container import RUN_PER_FLAKY_TEST from ci.ray_ci.utils import chunk_into_n, ci_init -from ci.ray_ci.container import _DOCKER_ECR_REPO, _RAYCI_BUILD_ID -from ray_release.configs.global_config import get_global_config - ci_init() diff --git a/ci/ray_ci/test_privileged.py b/ci/ray_ci/test_privileged.py index c1f71dfe7056..e69d6ad78367 100644 --- a/ci/ray_ci/test_privileged.py +++ b/ci/ray_ci/test_privileged.py @@ -1,9 +1,9 @@ import os -import pytest import sys - from pathlib import Path +import pytest + # In privileged containers, we expect the following # cgroupv1 is disabled # cgroupv2 is enabled and mounted on /sys/fs/cgroup diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index 6d474129f722..ce2bc3021e58 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -1,9 +1,11 @@ import os import sys +from datetime import datetime from typing import List from unittest import mock -from datetime import datetime + import pytest +from ray_release.configs.global_config import get_global_config from ci.ray_ci.builder_container import DEFAULT_PYTHON_VERSION from ci.ray_ci.container import _DOCKER_ECR_REPO @@ -11,7 +13,6 @@ from ci.ray_ci.ray_docker_container import RayDockerContainer from ci.ray_ci.test_base import RayCITestBase from ci.ray_ci.utils import RAY_VERSION -from ray_release.configs.global_config import get_global_config class TestRayDockerContainer(RayCITestBase): diff --git a/ci/ray_ci/test_tester.py b/ci/ray_ci/test_tester.py index 21861e250dad..4f3e8ce06fb6 100644 --- a/ci/ray_ci/test_tester.py +++ b/ci/ray_ci/test_tester.py @@ -5,19 +5,19 @@ from unittest import mock import pytest +from ray_release.test import Test, TestState from ci.ray_ci.linux_tester_container import LinuxTesterContainer -from ci.ray_ci.windows_tester_container import WindowsTesterContainer from ci.ray_ci.tester import ( _add_default_except_tags, - _get_container, _get_all_test_query, - _get_test_targets, - _get_new_tests, + _get_container, _get_flaky_test_targets, + _get_new_tests, _get_tag_matcher, + _get_test_targets, ) -from ray_release.test import Test, TestState +from ci.ray_ci.windows_tester_container import WindowsTesterContainer def _stub_test(val: dict) -> Test: diff --git a/ci/ray_ci/test_utils.py b/ci/ray_ci/test_utils.py index f97566d00d19..cd946229612a 100644 --- a/ci/ray_ci/test_utils.py +++ b/ci/ray_ci/test_utils.py @@ -1,16 +1,17 @@ import base64 import io import sys -import pytest -from unittest import mock from typing import List +from unittest import mock +import pytest from ray_release.test import Test + from ci.ray_ci.utils import ( chunk_into_n, docker_login, - get_flaky_test_names, filter_tests, + get_flaky_test_names, ) diff --git a/ci/ray_ci/test_windows_container.py b/ci/ray_ci/test_windows_container.py index 9ea95d212c23..d7527b97b234 100644 --- a/ci/ray_ci/test_windows_container.py +++ b/ci/ray_ci/test_windows_container.py @@ -1,10 +1,11 @@ import sys -import pytest -from unittest import mock from typing import List +from unittest import mock + +import pytest -from ci.ray_ci.windows_container import WindowsContainer from ci.ray_ci.container import _DOCKER_ENV +from ci.ray_ci.windows_container import WindowsContainer def test_install_ray() -> None: diff --git a/ci/ray_ci/test_windows_tester_container.py b/ci/ray_ci/test_windows_tester_container.py index 48667b9265a5..753ffd373d6c 100644 --- a/ci/ray_ci/test_windows_tester_container.py +++ b/ci/ray_ci/test_windows_tester_container.py @@ -1,5 +1,5 @@ -from unittest import mock from typing import List +from unittest import mock from ci.ray_ci.windows_tester_container import WindowsTesterContainer diff --git a/ci/ray_ci/tester.py b/ci/ray_ci/tester.py index c2b700f34db8..339c6aea5844 100644 --- a/ci/ray_ci/tester.py +++ b/ci/ray_ci/tester.py @@ -1,23 +1,23 @@ import os import sys -from typing import List, Set, Tuple, Optional +from typing import List, Optional, Set, Tuple -import yaml import click +import yaml +from ray_release.test import Test, TestState -from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.builder_container import ( - BuilderContainer, + DEFAULT_ARCHITECTURE, DEFAULT_BUILD_TYPE, DEFAULT_PYTHON_VERSION, - DEFAULT_ARCHITECTURE, PYTHON_VERSIONS, + BuilderContainer, ) +from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.linux_tester_container import LinuxTesterContainer -from ci.ray_ci.windows_tester_container import WindowsTesterContainer from ci.ray_ci.tester_container import TesterContainer -from ci.ray_ci.utils import docker_login, ci_init -from ray_release.test import Test, TestState +from ci.ray_ci.utils import ci_init, docker_login +from ci.ray_ci.windows_tester_container import WindowsTesterContainer CUDA_COPYRIGHT = """ ========== diff --git a/ci/ray_ci/tester_container.py b/ci/ray_ci/tester_container.py index 5c0078e323d5..0e91ee58a5d0 100644 --- a/ci/ray_ci/tester_container.py +++ b/ci/ray_ci/tester_container.py @@ -5,16 +5,15 @@ import shutil import string import subprocess -from typing import List, Tuple, Optional -from os import path, listdir +from os import listdir, path +from typing import List, Optional, Tuple -from ci.ray_ci.utils import shard_tests, chunk_into_n -from ci.ray_ci.utils import logger -from ci.ray_ci.container import Container -from ray_release.test import TestResult, Test -from ray_release.test_automation.ci_state_machine import CITestStateMachine from ray_release.configs.global_config import get_global_config +from ray_release.test import Test, TestResult +from ray_release.test_automation.ci_state_machine import CITestStateMachine +from ci.ray_ci.container import Container +from ci.ray_ci.utils import chunk_into_n, logger, shard_tests # We will run each flaky test this number of times per CI job independent of pass/fail. RUN_PER_FLAKY_TEST = 1 diff --git a/ci/ray_ci/utils.py b/ci/ray_ci/utils.py index a9d6159aa8a3..90b510fd5379 100644 --- a/ci/ray_ci/utils.py +++ b/ci/ray_ci/utils.py @@ -5,15 +5,15 @@ import subprocess import sys import tempfile - -import boto3 -from typing import List from math import ceil +from typing import List -import ci.ray_ci.bazel_sharding as bazel_sharding +import boto3 from ray_release.bazel import bazel_runfile -from ray_release.test import Test, TestState from ray_release.configs.global_config import init_global_config +from ray_release.test import Test, TestState + +import ci.ray_ci.bazel_sharding as bazel_sharding GLOBAL_CONFIG_FILE = ( os.environ.get("RAYCI_GLOBAL_CONFIG") or "ci/ray_ci/oss_config.yaml" diff --git a/ci/ray_ci/windows_builder_container.py b/ci/ray_ci/windows_builder_container.py index 0c4f0cf214ee..1ccf2c5078c0 100644 --- a/ci/ray_ci/windows_builder_container.py +++ b/ci/ray_ci/windows_builder_container.py @@ -1,6 +1,6 @@ import os -from ci.ray_ci.windows_container import WindowsContainer, WORKDIR +from ci.ray_ci.windows_container import WORKDIR, WindowsContainer class WindowsBuilderContainer(WindowsContainer): diff --git a/ci/ray_ci/windows_container.py b/ci/ray_ci/windows_container.py index 838c6491b05c..0e9f4b79e0e1 100644 --- a/ci/ray_ci/windows_container.py +++ b/ci/ray_ci/windows_container.py @@ -1,11 +1,10 @@ import os import subprocess import sys -from typing import List, Tuple, Optional +from typing import List, Optional, Tuple from ci.ray_ci.container import Container - WORKDIR = "C:\\rayci" diff --git a/ci/ray_ci/windows_tester_container.py b/ci/ray_ci/windows_tester_container.py index 37ea14f645e6..750f4da112dc 100644 --- a/ci/ray_ci/windows_tester_container.py +++ b/ci/ray_ci/windows_tester_container.py @@ -1,7 +1,7 @@ from typing import List, Optional -from ci.ray_ci.windows_container import WindowsContainer from ci.ray_ci.tester_container import TesterContainer +from ci.ray_ci.windows_container import WindowsContainer class WindowsTesterContainer(TesterContainer, WindowsContainer): diff --git a/ci/repro-ci.py b/ci/repro-ci.py index 7800e71bc1ec..c5b6537ecbbe 100644 --- a/ci/repro-ci.py +++ b/ci/repro-ci.py @@ -37,7 +37,7 @@ import threading import time from numbers import Number -from typing import Any, Dict, List, Optional, Callable +from typing import Any, Callable, Dict, List, Optional import boto3 import click diff --git a/pyproject.toml b/pyproject.toml index 8ae06c326372..5d803303c12a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,12 +65,6 @@ afterray = ["psutil", "setproctitle"] "python/ray/setup-dev.py" = ["I"] "python/ray/cloudpickle/*" = ["I"] "python/ray/dag/*.py" = ["I"] -"ci/lint/*" = ["I"] -"ci/pipeline/*" = ["I"] -"ci/ray_ci/*" = ["I"] -"ci/build/*" = ["I"] -"ci/env/*" = ["I"] -"ci/repro-ci.py" = ["I"] "python/ray/includes/*" = ["I"] "python/ray/internal/*" = ["I"] "python/ray/ray_operator/*" = ["I"] From b36ad426fedb8f4720055c51a5ff9942008780ca Mon Sep 17 00:00:00 2001 From: Ping Date: Mon, 11 Aug 2025 11:06:21 +0800 Subject: [PATCH 0601/1566] [Core] Cover cpplint for ray/src/ray/common/test (#55414) Signed-off-by: 400Ping Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- .../common/test/bundle_location_index_test.cc | 3 + src/ray/common/test/event_stats_test.cc | 3 + src/ray/common/test/grpc_util_test.cc | 2 + src/ray/common/test/id_test.cc | 10 ++-- src/ray/common/test/label_selector_test.cc | 2 + src/ray/common/test/memory_monitor_test.cc | 3 + src/ray/common/test/postable_test.cc | 2 + src/ray/common/test/ray_config_test.cc | 3 + src/ray/common/test/ray_syncer_test.cc | 56 +++++++++++-------- .../common/test/resource_instance_set_test.cc | 3 + src/ray/common/test/resource_request_test.cc | 2 + src/ray/common/test/resource_set_test.cc | 3 + src/ray/common/test/scheduling_ids_test.cc | 49 ++++++++-------- src/ray/common/test/status_test.cc | 2 + .../common/test/syncer_service_e2e_test.cc | 23 ++++---- src/ray/common/test/task_spec_test.cc | 4 ++ 17 files changed, 110 insertions(+), 62 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a586e806b6bc..7a19234ed517 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,7 +73,7 @@ repos: hooks: - id: cpplint args: ["--filter=-whitespace/braces,-whitespace/line_length,-build/c++11,-build/c++14,-build/c++17,-readability/braces,-whitespace/indent_namespace,-runtime/int,-runtime/references,-build/include_order"] - files: ^src/ray/(common/cgroup2|common/scheduling|common/ray_syncer|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ + files: ^src/ray/(common/cgroup2|common/scheduling|common/ray_syncer|common/test|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ exclude: | (?x)^( src/ray/raylet/scheduling/.*\.(h|cc)$ | diff --git a/src/ray/common/test/bundle_location_index_test.cc b/src/ray/common/test/bundle_location_index_test.cc index 49468d978274..9e3bba19c8ee 100644 --- a/src/ray/common/test/bundle_location_index_test.cc +++ b/src/ray/common/test/bundle_location_index_test.cc @@ -15,6 +15,9 @@ #include "ray/common/bundle_location_index.h" +#include +#include + #include "gtest/gtest.h" namespace ray { diff --git a/src/ray/common/test/event_stats_test.cc b/src/ray/common/test/event_stats_test.cc index 9d88065ea8ff..3b1bf67c1e56 100644 --- a/src/ray/common/test/event_stats_test.cc +++ b/src/ray/common/test/event_stats_test.cc @@ -14,6 +14,9 @@ #include "ray/common/event_stats.h" +#include +#include + #include "gtest/gtest.h" TEST(EventStatsTest, TestRecordEnd) { diff --git a/src/ray/common/test/grpc_util_test.cc b/src/ray/common/test/grpc_util_test.cc index 17c50faf28dc..5170446c123b 100644 --- a/src/ray/common/test/grpc_util_test.cc +++ b/src/ray/common/test/grpc_util_test.cc @@ -14,6 +14,8 @@ #include "ray/common/grpc_util.h" +#include + #include "gtest/gtest.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/common/test/id_test.cc b/src/ray/common/test/id_test.cc index 2c11d7681a1e..1264dcf0db30 100644 --- a/src/ray/common/test/id_test.cc +++ b/src/ray/common/test/id_test.cc @@ -14,6 +14,8 @@ #include +#include + #include "absl/container/flat_hash_set.h" #include "ray/common/common_protocol.h" #include "ray/common/task/task_spec.h" @@ -35,9 +37,9 @@ void TestRandomObjectId() { ASSERT_EQ(random_object_id.ObjectIndex(), 0); } -const static JobID kDefaultJobId = JobID::FromInt(199); +static const JobID kDefaultJobId = JobID::FromInt(199); -const static TaskID kDefaultDriverTaskId = TaskID::ForDriverTask(kDefaultJobId); +static const TaskID kDefaultDriverTaskId = TaskID::ForDriverTask(kDefaultJobId); TEST(JobIDTest, TestJobID) { uint32_t id = 100; @@ -104,9 +106,9 @@ TEST(TaskIDTest, TestTaskIDForExecution) { } TEST(ObjectIDTest, TestObjectID) { - const static ActorID default_actor_id = + static const ActorID default_actor_id = ActorID::Of(kDefaultJobId, kDefaultDriverTaskId, 1); - const static TaskID default_task_id = + static const TaskID default_task_id = TaskID::ForActorTask(kDefaultJobId, kDefaultDriverTaskId, 1, default_actor_id); { diff --git a/src/ray/common/test/label_selector_test.cc b/src/ray/common/test/label_selector_test.cc index f30ad26caa05..89c1fe20aaea 100644 --- a/src/ray/common/test/label_selector_test.cc +++ b/src/ray/common/test/label_selector_test.cc @@ -14,6 +14,8 @@ #include "ray/common/scheduling/label_selector.h" +#include + #include "gtest/gtest.h" namespace ray { diff --git a/src/ray/common/test/memory_monitor_test.cc b/src/ray/common/test/memory_monitor_test.cc index 3f9e8f0071b6..03ccb4d693c5 100644 --- a/src/ray/common/test/memory_monitor_test.cc +++ b/src/ray/common/test/memory_monitor_test.cc @@ -20,6 +20,9 @@ #include #include #include +#include +#include +#include #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" diff --git a/src/ray/common/test/postable_test.cc b/src/ray/common/test/postable_test.cc index 60f8d18571ff..1490d18f8684 100644 --- a/src/ray/common/test/postable_test.cc +++ b/src/ray/common/test/postable_test.cc @@ -16,6 +16,8 @@ #include +#include + namespace ray { TEST(PostableTest, TestPostable) { diff --git a/src/ray/common/test/ray_config_test.cc b/src/ray/common/test/ray_config_test.cc index 6522640a499d..5584ab647eb8 100644 --- a/src/ray/common/test/ray_config_test.cc +++ b/src/ray/common/test/ray_config_test.cc @@ -14,6 +14,9 @@ #include "ray/common/ray_config.h" +#include +#include + #include "gtest/gtest.h" #include "ray/common/grpc_util.h" diff --git a/src/ray/common/test/ray_syncer_test.cc b/src/ray/common/test/ray_syncer_test.cc index 6b8757f5e080..6982980efedf 100644 --- a/src/ray/common/test/ray_syncer_test.cc +++ b/src/ray/common/test/ray_syncer_test.cc @@ -25,7 +25,13 @@ #include #include +#include #include +#include +#include +#include +#include +#include #include "ray/common/ray_syncer/node_state.h" #include "ray/common/ray_syncer/ray_syncer.h" @@ -35,8 +41,6 @@ #include "ray/util/network_util.h" #include "ray/util/path_utils.h" -using namespace std::chrono; -using namespace ray::syncer; using ray::NodeID; using ::testing::_; using ::testing::Eq; @@ -204,7 +208,7 @@ TEST_F(RaySyncerTest, RaySyncerBidiReactorBase) { } struct SyncerServerTest { - SyncerServerTest(std::string port) + explicit SyncerServerTest(std::string port) : SyncerServerTest( std::move(port), /*node_id=*/NodeID::FromRandom(), /*ray_sync_observer=*/{}) { } @@ -306,22 +310,24 @@ struct SyncerServerTest { if (f.get()) { return; } else { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } } } bool WaitUntil(std::function predicate, int64_t time_s) { - auto start = steady_clock::now(); + auto start = std::chrono::steady_clock::now(); - while (duration_cast(steady_clock::now() - start).count() <= time_s) { + while (std::chrono::duration_cast( + std::chrono::steady_clock::now() - start) + .count() <= time_s) { std::promise p; auto f = p.get_future(); io_context.post([&p, predicate]() mutable { p.set_value(predicate()); }, "TEST"); if (f.get()) { return true; } else { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } } return false; @@ -445,7 +451,7 @@ class SyncerTest : public ::testing::Test { s->Stop(); } - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } std::vector> servers; }; @@ -526,10 +532,10 @@ TEST_F(SyncerTest, Test1To1) { // Make sure no new messages are sent s2.local_versions[0] = 0; - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); - ASSERT_TRUE(s1.GetNumConsumedMessages(s2.syncer->GetLocalNodeID()) == 2); - ASSERT_TRUE(s2.GetNumConsumedMessages(s1.syncer->GetLocalNodeID()) == 1); + ASSERT_EQ(s1.GetNumConsumedMessages(s2.syncer->GetLocalNodeID()), 2); + ASSERT_EQ(s2.GetNumConsumedMessages(s1.syncer->GetLocalNodeID()), 1); // Change it back s2.local_versions[0] = 1; @@ -539,7 +545,7 @@ TEST_F(SyncerTest, Test1To1) { std::uniform_int_distribution<> rand_sleep(0, 10000); std::uniform_int_distribution<> choose_component(0, kTestComponents - 1); - auto start = steady_clock::now(); + auto start = std::chrono::steady_clock::now(); for (int i = 0; i < 10000; ++i) { if (choose_component(gen) == 0) { s1.local_versions[0]++; @@ -547,16 +553,16 @@ TEST_F(SyncerTest, Test1To1) { s2.local_versions[choose_component(gen)]++; } if (rand_sleep(gen) < 5) { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } } - auto end = steady_clock::now(); + auto end = std::chrono::steady_clock::now(); // Max messages can be send during this period of time. // +1 is for corner cases. auto max_sends = - duration_cast(end - start).count() / + std::chrono::duration_cast(end - start).count() / RayConfig::instance().raylet_report_resources_period_milliseconds() + 1; @@ -721,7 +727,7 @@ bool TestCorrectness(std::function get_cluster_ for (size_t i = 0; i < 10; ++i) { if (!check()) { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } else { break; } @@ -747,7 +753,7 @@ bool TestCorrectness(std::function get_cluster_ servers[server_idx]->local_versions[message_type]++; // expect to sleep for 100 times for the whole loop. if (rand_sleep(gen) < 100) { - std::this_thread::sleep_for(100ms); + std::this_thread::sleep_for(std::chrono::milliseconds(100)); } } @@ -757,7 +763,7 @@ bool TestCorrectness(std::function get_cluster_ // Make sure everything is synced. for (size_t i = 0; i < 10; ++i) { if (!check()) { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } else { break; } @@ -881,14 +887,18 @@ class SyncerReactorTest : public ::testing::Test { work_guard_ = std::make_unique(io_context_.get_executor()); thread_ = std::make_unique([this]() { io_context_.run(); }); - auto start = steady_clock::now(); - while (duration_cast(steady_clock::now() - start).count() <= 5) { + auto start = std::chrono::steady_clock::now(); + while (std::chrono::duration_cast( + std::chrono::steady_clock::now() - start) + .count() <= 5) { RAY_LOG(INFO) << "Waiting: " - << duration_cast(steady_clock::now() - start).count(); + << std::chrono::duration_cast( + std::chrono::steady_clock::now() - start) + .count(); if (rpc_service_->reactor != nullptr) { break; }; - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } } @@ -991,6 +1001,6 @@ int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); auto ret = RUN_ALL_TESTS(); // Sleep for gRPC to gracefully shutdown. - std::this_thread::sleep_for(2s); + std::this_thread::sleep_for(std::chrono::seconds(2)); return ret; } diff --git a/src/ray/common/test/resource_instance_set_test.cc b/src/ray/common/test/resource_instance_set_test.cc index ba969f54509c..b5745caabf60 100644 --- a/src/ray/common/test/resource_instance_set_test.cc +++ b/src/ray/common/test/resource_instance_set_test.cc @@ -14,6 +14,9 @@ #include "ray/common/scheduling/resource_instance_set.h" +#include +#include + #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "gtest/gtest.h" diff --git a/src/ray/common/test/resource_request_test.cc b/src/ray/common/test/resource_request_test.cc index 6b58e63e2757..50d9b14223ef 100644 --- a/src/ray/common/test/resource_request_test.cc +++ b/src/ray/common/test/resource_request_test.cc @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include + #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "gtest/gtest.h" diff --git a/src/ray/common/test/resource_set_test.cc b/src/ray/common/test/resource_set_test.cc index 00ae8343853f..5eb5ae1eb822 100644 --- a/src/ray/common/test/resource_set_test.cc +++ b/src/ray/common/test/resource_set_test.cc @@ -14,6 +14,9 @@ #include "ray/common/scheduling/resource_set.h" +#include +#include + #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "gtest/gtest.h" diff --git a/src/ray/common/test/scheduling_ids_test.cc b/src/ray/common/test/scheduling_ids_test.cc index f06a5cd10544..762436910b26 100644 --- a/src/ray/common/test/scheduling_ids_test.cc +++ b/src/ray/common/test/scheduling_ids_test.cc @@ -14,40 +14,43 @@ #include "ray/common/scheduling/scheduling_ids.h" +#include +#include + #include "gtest/gtest.h" namespace ray { -using namespace ray::scheduling; struct SchedulingIDsTest : public ::testing::Test {}; TEST_F(SchedulingIDsTest, BasicTest) { std::vector string_ids = {"hello", "whaaat", "yes"}; - std::vector node_ids; + std::vector node_ids; for (auto &string_id : string_ids) { - node_ids.emplace_back(NodeID(string_id)); + node_ids.emplace_back(scheduling::NodeID(string_id)); ASSERT_EQ(node_ids.back().Binary(), string_id); } - ASSERT_EQ(node_ids[0], NodeID(string_ids[0])); - ASSERT_EQ(node_ids[0], NodeID(node_ids[0].ToInt())); + ASSERT_EQ(node_ids[0], scheduling::NodeID(string_ids[0])); + ASSERT_EQ(node_ids[0], scheduling::NodeID(node_ids[0].ToInt())); - ASSERT_TRUE(NodeID::Nil().IsNil()); - ASSERT_EQ(NodeID::Nil().ToInt(), -1); - ASSERT_EQ(NodeID::Nil().Binary(), "-1"); + ASSERT_TRUE(scheduling::NodeID::Nil().IsNil()); + ASSERT_EQ(scheduling::NodeID::Nil().ToInt(), -1); + ASSERT_EQ(scheduling::NodeID::Nil().Binary(), "-1"); - ASSERT_EQ(NodeID(13), NodeID(13)); - ASSERT_NE(NodeID(1), NodeID(2)); - ASSERT_TRUE(NodeID(1) < NodeID(2)); + ASSERT_EQ(scheduling::NodeID(13), scheduling::NodeID(13)); + ASSERT_NE(scheduling::NodeID(1), scheduling::NodeID(2)); + ASSERT_TRUE(scheduling::NodeID(1) < scheduling::NodeID(2)); } TEST_F(SchedulingIDsTest, PrepopulateResourceIDTest) { - ASSERT_EQ(kCPU_ResourceLabel, ResourceID(CPU).Binary()); - ASSERT_EQ(kGPU_ResourceLabel, ResourceID(GPU).Binary()); - ASSERT_EQ(kObjectStoreMemory_ResourceLabel, ResourceID(OBJECT_STORE_MEM).Binary()); - ASSERT_EQ(kMemory_ResourceLabel, ResourceID(MEM).Binary()); + ASSERT_EQ(kCPU_ResourceLabel, scheduling::ResourceID(CPU).Binary()); + ASSERT_EQ(kGPU_ResourceLabel, scheduling::ResourceID(GPU).Binary()); + ASSERT_EQ(kObjectStoreMemory_ResourceLabel, + scheduling::ResourceID(OBJECT_STORE_MEM).Binary()); + ASSERT_EQ(kMemory_ResourceLabel, scheduling::ResourceID(MEM).Binary()); // mean while NodeID is not populated. - ASSERT_NE(kCPU_ResourceLabel, NodeID(CPU).Binary()); + ASSERT_NE(kCPU_ResourceLabel, scheduling::NodeID(CPU).Binary()); } TEST_F(SchedulingIDsTest, UnitInstanceResourceTest) { @@ -58,13 +61,13 @@ TEST_F(SchedulingIDsTest, UnitInstanceResourceTest) { "custom_unit_instance_resources": "neuron_cores,TPU,custom1" } )"); - ASSERT_TRUE(ResourceID::CPU().IsUnitInstanceResource()); - ASSERT_TRUE(ResourceID::GPU().IsUnitInstanceResource()); - ASSERT_TRUE(ResourceID("custom1").IsUnitInstanceResource()); - ASSERT_TRUE(ResourceID("neuron_cores").IsUnitInstanceResource()); - ASSERT_TRUE(ResourceID("TPU").IsUnitInstanceResource()); + ASSERT_TRUE(scheduling::ResourceID::CPU().IsUnitInstanceResource()); + ASSERT_TRUE(scheduling::ResourceID::GPU().IsUnitInstanceResource()); + ASSERT_TRUE(scheduling::ResourceID("custom1").IsUnitInstanceResource()); + ASSERT_TRUE(scheduling::ResourceID("neuron_cores").IsUnitInstanceResource()); + ASSERT_TRUE(scheduling::ResourceID("TPU").IsUnitInstanceResource()); - ASSERT_FALSE(ResourceID::Memory().IsUnitInstanceResource()); - ASSERT_FALSE(ResourceID("custom2").IsUnitInstanceResource()); + ASSERT_FALSE(scheduling::ResourceID::Memory().IsUnitInstanceResource()); + ASSERT_FALSE(scheduling::ResourceID("custom2").IsUnitInstanceResource()); } } // namespace ray diff --git a/src/ray/common/test/status_test.cc b/src/ray/common/test/status_test.cc index aa3597193d25..84166968c5b4 100644 --- a/src/ray/common/test/status_test.cc +++ b/src/ray/common/test/status_test.cc @@ -14,6 +14,8 @@ #include "ray/common/status.h" +#include + #include "gtest/gtest.h" #include "ray/common/grpc_util.h" diff --git a/src/ray/common/test/syncer_service_e2e_test.cc b/src/ray/common/test/syncer_service_e2e_test.cc index 650a6fed0e47..90dbf97619c4 100644 --- a/src/ray/common/test/syncer_service_e2e_test.cc +++ b/src/ray/common/test/syncer_service_e2e_test.cc @@ -22,16 +22,17 @@ #include #include #include +#include +#include +#include #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/util/network_util.h" -using namespace std; -using namespace ray::syncer; using ray::PeriodicalRunner; -class LocalNode : public ReporterInterface { +class LocalNode : public ray::syncer::ReporterInterface { public: LocalNode(instrumented_io_context &io_context, ray::NodeID node_id) : node_id_(node_id), timer_(PeriodicalRunner::Create(io_context)) { @@ -51,8 +52,8 @@ class LocalNode : public ReporterInterface { "LocalNodeStateUpdate"); } - std::optional CreateSyncMessage(int64_t current_version, - MessageType) const override { + std::optional CreateSyncMessage( + int64_t current_version, ray::syncer::MessageType) const override { if (current_version > version_) { return std::nullopt; } @@ -72,7 +73,7 @@ class LocalNode : public ReporterInterface { std::shared_ptr timer_; }; -class RemoteNodes : public ReceiverInterface { +class RemoteNodes : public ray::syncer::ReceiverInterface { public: RemoteNodes() {} void ConsumeSyncMessage( @@ -100,18 +101,18 @@ int main(int argc, char *argv[]) { auto leader_port = std::string(argv[2]); auto local_node = std::make_unique(io_context, node_id); auto remote_node = std::make_unique(); - RaySyncer syncer(io_context, node_id.Binary()); + ray::syncer::RaySyncer syncer(io_context, node_id.Binary()); // RPC related field grpc::ServerBuilder builder; - std::unique_ptr service; + std::unique_ptr service; std::unique_ptr server; std::shared_ptr channel; syncer.Register( ray::rpc::syncer::MessageType::RESOURCE_VIEW, local_node.get(), remote_node.get()); if (server_port != ".") { RAY_LOG(INFO) << "Start server on port " << server_port; - auto server_address = BuildAddress("0.0.0.0", server_port); - service = std::make_unique(syncer); + auto server_address = ray::BuildAddress("0.0.0.0", server_port); + service = std::make_unique(syncer); builder.AddListeningPort(server_address, grpc::InsecureServerCredentials()); builder.RegisterService(service.get()); server = builder.BuildAndStart(); @@ -123,7 +124,7 @@ int main(int argc, char *argv[]) { argument.SetMaxSendMessageSize(::RayConfig::instance().max_grpc_message_size()); argument.SetMaxReceiveMessageSize(::RayConfig::instance().max_grpc_message_size()); - channel = grpc::CreateCustomChannel(BuildAddress("localhost", leader_port), + channel = grpc::CreateCustomChannel(ray::BuildAddress("localhost", leader_port), grpc::InsecureChannelCredentials(), argument); diff --git a/src/ray/common/test/task_spec_test.cc b/src/ray/common/test/task_spec_test.cc index 5383adcd707f..67ed76daaf4b 100644 --- a/src/ray/common/test/task_spec_test.cc +++ b/src/ray/common/test/task_spec_test.cc @@ -14,6 +14,10 @@ #include "ray/common/task/task_spec.h" +#include +#include +#include + #include "gtest/gtest.h" #include "ray/common/task/task_util.h" From f0e17dfd415ef22aa990b0e82c6ad548cfa6956f Mon Sep 17 00:00:00 2001 From: Anmol Singh Date: Mon, 11 Aug 2025 22:00:23 +0530 Subject: [PATCH 0602/1566] Add RayNodeType label to Prometheus metrics for nodes (#55192) ## Why are these changes needed? We currently don't have an easy way to filter head node metrics in the Ray Grafana dashboard, and this feature can be useful for surfacing head node hardware issues quickly. Also, the current `IsHeadNode` Prometheus label surfaces the underlying boolean conditional rather than the actual node type, making the dashboard filter name and legends look a bit awkward. #### This PR: Replaces `IsHeadNode` with a `RayNodeType` label that uses descriptive values (`"head"/"worker"`), allowing us to * Filter metrics by node type using a Grafana templating variable, so that users can look at just head node metrics when needed * Provide intuitive legends in the time series to help mark the head vs worker nodes * Remove the duplicated queries for head/worker nodes from our base template Note - We use `RayNodeType` instead of more general names like `NodeType` to help distinguish it from labels representing e.g. EC2 node types. #### Changes: * Update node metrics to use `RayNodeType` instead of `IsHeadNode` * Update dashboard Prometheus queries to use the new label and add a new Grafana templating variable * Minor touchups to make the Grafana filter descriptions consistent #### Dashboard screenshots (post changes): **Default dashboard** image **Train dashboard** image ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: anmol Co-authored-by: anmol Signed-off-by: Douglas Strodtman --- python/ray/dashboard/consts.py | 4 +- .../dashboards/default_dashboard_panels.py | 82 ++++++------------- .../default_grafana_dashboard_base.json | 39 ++++++++- .../dashboards/train_dashboard_panels.py | 70 ++++++++-------- .../train_grafana_dashboard_base.json | 35 +++++++- .../modules/reporter/reporter_agent.py | 6 +- .../modules/reporter/tests/test_reporter.py | 12 ++- python/ray/tests/test_metrics_head.py | 3 + 8 files changed, 152 insertions(+), 99 deletions(-) diff --git a/python/ray/dashboard/consts.py b/python/ray/dashboard/consts.py index 1c5fdb9386b2..30505878cb80 100644 --- a/python/ray/dashboard/consts.py +++ b/python/ray/dashboard/consts.py @@ -65,7 +65,9 @@ # Port that dashboard prometheus metrics will be exported to DASHBOARD_METRIC_PORT = env_integer("DASHBOARD_METRIC_PORT", 44227) -NODE_TAG_KEYS = ["ip", "Version", "SessionName", "IsHeadNode"] +# We use RayNodeType to mark head/worker nodes. IsHeadNode is retained +# for backward compatibility for user-customized dashboards that might rely on it +NODE_TAG_KEYS = ["ip", "Version", "SessionName", "IsHeadNode", "RayNodeType"] GPU_TAG_KEYS = NODE_TAG_KEYS + ["GpuDeviceName", "GpuIndex"] # TpuDeviceName and TpuIndex are expected to be equal to the number of TPU diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py index dd4e702b34d7..00cfc8194ac8 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py @@ -200,15 +200,11 @@ def max_plus_pending(max_resource, pending_resource): unit="cores", targets=[ Target( - expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", IsHeadNode="false", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance",{global_filters}}} / 100) by (instance)', - legend="CPU Usage: {{instance}}", - ), - Target( - expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", IsHeadNode="true", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance",{global_filters}}} / 100) by (instance)', - legend="CPU Usage: {{instance}} (head)", + expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType",{global_filters}}} / 100) by (instance, RayNodeType)', + legend="CPU Usage: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_cpu_count{{instance=~"$Instance",{global_filters}}})', + expr='sum(ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -220,15 +216,11 @@ def max_plus_pending(max_resource, pending_resource): unit="GPUs", targets=[ Target( - expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", IsHeadNode="false", {global_filters}}} / 100) by (instance, GpuIndex, GpuDeviceName)', - legend="GPU Usage: {{instance}}, gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} / 100) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="GPU Usage: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", ), Target( - expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", IsHeadNode="true", {global_filters}}} / 100) by (instance, GpuIndex, GpuDeviceName)', - legend="GPU Usage: {{instance}} (head), gpu.{{GpuIndex}}, {{GpuDeviceName}}", - ), - Target( - expr='sum(ray_node_gpus_available{{instance=~"$Instance",{global_filters}}})', + expr='sum(ray_node_gpus_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -240,15 +232,11 @@ def max_plus_pending(max_resource, pending_resource): unit="bytes", targets=[ Target( - expr='sum(ray_node_disk_usage{{instance=~"$Instance", IsHeadNode="false", {global_filters}}}) by (instance)', - legend="Disk Used: {{instance}}", - ), - Target( - expr='sum(ray_node_disk_usage{{instance=~"$Instance", IsHeadNode="true", {global_filters}}}) by (instance)', - legend="Disk Used: {{instance}} (head)", + expr='sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Disk Used: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_free{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance",{global_filters}}})', + expr='sum(ray_node_disk_free{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -260,20 +248,12 @@ def max_plus_pending(max_resource, pending_resource): unit="Bps", targets=[ Target( - expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", IsHeadNode="false", {global_filters}}}) by (instance)', - legend="Write: {{instance}}", + expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Write: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", IsHeadNode="true", {global_filters}}}) by (instance)', - legend="Write: {{instance}} (head)", - ), - Target( - expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", IsHeadNode="false", {global_filters}}}) by (instance)', - legend="Read: {{instance}}", - ), - Target( - expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", IsHeadNode="true", {global_filters}}}) by (instance)', - legend="Read: {{instance}} (head)", + expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Read: {{instance}} ({{RayNodeType}})", ), ], ), @@ -284,15 +264,11 @@ def max_plus_pending(max_resource, pending_resource): unit="bytes", targets=[ Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance", IsHeadNode="false", {global_filters}}}) by (instance)', - legend="Memory Used: {{instance}}", - ), - Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance", IsHeadNode="true", {global_filters}}}) by (instance)', - legend="Memory Used: {{instance}} (head)", + expr='sum(ray_node_mem_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Memory Used: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_mem_total{{instance=~"$Instance",{global_filters}}})', + expr='sum(ray_node_mem_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -304,12 +280,8 @@ def max_plus_pending(max_resource, pending_resource): unit="%", targets=[ Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance", IsHeadNode="false", {global_filters}}}/ray_node_mem_total{{instance=~"$Instance", IsHeadNode="false", {global_filters}}} * 100) by (instance)', - legend="Memory Used: {{instance}}", - ), - Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance", IsHeadNode="true", {global_filters}}}/ray_node_mem_total{{instance=~"$Instance", IsHeadNode="true", {global_filters}}} * 100) by (instance)', - legend="Memory Used: {{instance}} (head)", + expr='sum(ray_node_mem_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}/ray_node_mem_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * 100) by (instance, RayNodeType)', + legend="Memory Used: {{instance}} ({{RayNodeType}})", ), ], fill=0, @@ -322,8 +294,8 @@ def max_plus_pending(max_resource, pending_resource): unit="failures", targets=[ Target( - expr='sum(ray_memory_manager_worker_eviction_total{{instance=~"$Instance",{global_filters}}}) by (Name, instance)', - legend="OOM Killed: {{Name}}, {{instance}}", + expr='sum(ray_memory_manager_worker_eviction_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (Name, instance, RayNodeType)', + legend="OOM Killed: {{Name}}, {{instance}} ({{RayNodeType}})", ), ], ), @@ -371,11 +343,11 @@ def max_plus_pending(max_resource, pending_resource): unit="bytes", targets=[ Target( - expr='sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}} * 1024 * 1024) by (instance, GpuIndex, GpuDeviceName)', - legend="Used GRAM: {{instance}}, gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * 1024 * 1024) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="Used GRAM: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", ), Target( - expr='(sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}})) * 1024 * 1024', + expr='(sum(ray_node_gram_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})) * 1024 * 1024', legend="MAX", ), ], @@ -439,12 +411,12 @@ def max_plus_pending(max_resource, pending_resource): unit="Bps", targets=[ Target( - expr='sum(ray_node_network_receive_speed{{instance=~"$Instance",{global_filters}}}) by (instance)', - legend="Recv: {{instance}}", + expr='sum(ray_node_network_receive_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Recv: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_network_send_speed{{instance=~"$Instance",{global_filters}}}) by (instance)', - legend="Send: {{instance}}", + expr='sum(ray_node_network_send_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Send: {{instance}} ({{RayNodeType}})", ), ], ), diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json index 76cf304f21b0..0ad52d3fb128 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json @@ -47,7 +47,7 @@ }, "datasource": "${datasource}", "definition": "label_values(ray_node_network_receive_speed{{{global_filters}}}, SessionName)", - "description": "Filter queries to specific ray sessions.", + "description": "Filter queries to specific Ray sessions.", "error": null, "hide": 0, "includeAll": true, @@ -78,7 +78,7 @@ }, "datasource": "${datasource}", "definition": "label_values(ray_node_network_receive_speed{{SessionName=~\"$SessionName\",{global_filters}}}, instance)", - "description": null, + "description": "Filter queries to specific Ray nodes by their IP address.", "error": null, "hide": 0, "includeAll": true, @@ -106,7 +106,7 @@ }, "datasource": "${datasource}", "definition": "label_values(ray_node_network_receive_speed{{{global_filters}}}, ray_io_cluster)", - "description": "Filter queries to specific Ray clusters for KubeRay. When ingesting metrics across multiple ray clusters, the ray_io_cluster label should be set per cluster. For KubeRay users, this is done automaticaly with Prometheus PodMonitor.", + "description": "Filter queries to specific Ray clusters for KubeRay. When ingesting metrics across multiple Ray clusters, the ray_io_cluster label should be set per cluster. For KubeRay users, this is done automatically with Prometheus PodMonitor.", "error": null, "hide": 0, "includeAll": true, @@ -127,6 +127,39 @@ "tagsQuery": "", "type": "query", "useTags": false + }, + { + "current": { + "text": [ + "All" + ], + "value": [ + "$__all" + ] + }, + "description": "Filter queries to specific Ray node types (head or worker).", + "includeAll": true, + "multi": true, + "name": "RayNodeType", + "options": [ + { + "selected": false, + "text": "All", + "value": "$__all" + }, + { + "selected": false, + "text": "Head Node", + "value": "head" + }, + { + "selected": false, + "text": "Worker Node", + "value": "worker" + } + ], + "query": "head, worker", + "type": "custom" } ] }, diff --git a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py index ed53c44ee4bd..e003c27c82a0 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py @@ -77,11 +77,11 @@ def next(): unit="cores", targets=[ Target( - expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance", {global_filters}}} / 100) by (instance)', - legend="CPU Usage: {{instance}}", + expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} / 100) by (instance, RayNodeType)', + legend="CPU Usage: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_cpu_count{{instance=~"$Instance", {global_filters}}})', + expr='sum(ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -94,11 +94,11 @@ def next(): unit="bytes", targets=[ Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Memory Used: {{instance}}", + expr='sum(ray_node_mem_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Memory Used: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_mem_total{{instance=~"$Instance", {global_filters}}})', + expr='sum(ray_node_mem_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -111,12 +111,12 @@ def next(): unit="bytes", targets=[ Target( - expr='sum(ray_node_mem_available{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Available Memory: {{instance}}", + expr='sum(ray_node_mem_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Available Memory: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_mem_shared_bytes{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Shared Memory: {{instance}}", + expr='sum(ray_node_mem_shared_bytes{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Shared Memory: {{instance}} ({{RayNodeType}})", ), ], ) @@ -130,11 +130,11 @@ def next(): unit="GPUs", targets=[ Target( - expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}} / 100) by (instance, GpuIndex, GpuDeviceName)', - legend="GPU Usage: {{instance}}, gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}} / 100) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="GPU Usage: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", ), Target( - expr='sum(ray_node_gpus_available{{instance=~"$Instance", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}})', + expr='sum(ray_node_gpus_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}})', legend="MAX", ), ], @@ -147,11 +147,11 @@ def next(): unit="bytes", targets=[ Target( - expr='sum(ray_node_gram_used{{instance=~"$Instance", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}} * 1024 * 1024) by (instance, GpuIndex, GpuDeviceName)', - legend="Used GRAM: {{instance}}, gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}} * 1024 * 1024) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="Used GRAM: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", ), Target( - expr='(sum(ray_node_gram_available{{instance=~"$Instance", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}})) * 1024 * 1024', + expr='(sum(ray_node_gram_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", GpuIndex=~"$GpuIndex", GpuDeviceName=~"$GpuDeviceName", {global_filters}}})) * 1024 * 1024', legend="MAX", ), ], @@ -165,11 +165,11 @@ def next(): unit="bytes", targets=[ Target( - expr='sum(ray_node_disk_usage{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Disk Used: {{instance}}", + expr='sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Disk Used: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_free{{instance=~"$Instance", {global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance", {global_filters}}})', + expr='sum(ray_node_disk_free{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], @@ -182,12 +182,12 @@ def next(): unit="Bps", targets=[ Target( - expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Read Speed: {{instance}}", + expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Read Speed: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Write Speed: {{instance}}", + expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Write Speed: {{instance}} ({{RayNodeType}})", ), ], ) @@ -199,12 +199,12 @@ def next(): unit="ops/s", targets=[ Target( - expr='sum(ray_node_disk_read_iops{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Read IOPS: {{instance}}", + expr='sum(ray_node_disk_read_iops{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Read IOPS: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_write_iops{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Write IOPS: {{instance}}", + expr='sum(ray_node_disk_write_iops{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Write IOPS: {{instance}} ({{RayNodeType}})", ), ], ) @@ -217,12 +217,12 @@ def next(): unit="Bps", targets=[ Target( - expr='sum(ray_node_network_receive_speed{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Receive Speed: {{instance}}", + expr='sum(ray_node_network_receive_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Receive Speed: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_network_send_speed{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Send Speed: {{instance}}", + expr='sum(ray_node_network_send_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Send Speed: {{instance}} ({{RayNodeType}})", ), ], ) @@ -234,12 +234,12 @@ def next(): unit="bytes", targets=[ Target( - expr='sum(ray_node_network_sent{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Total Sent: {{instance}}", + expr='sum(ray_node_network_sent{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Total Sent: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_network_received{{instance=~"$Instance", {global_filters}}}) by (instance)', - legend="Total Received: {{instance}}", + expr='sum(ray_node_network_received{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Total Received: {{instance}} ({{RayNodeType}})", ), ], ) diff --git a/python/ray/dashboard/modules/metrics/dashboards/train_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/train_grafana_dashboard_base.json index d94d8816ad99..82570ed428e8 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/train_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/train_grafana_dashboard_base.json @@ -227,8 +227,41 @@ "text": ["All"], "value": ["$__all"] } - } + }, + { + "current": { + "text": [ + "All" + ], + "value": [ + "$__all" + ] + }, + "description": "Filter queries to specific Ray node types (head or worker).", + "includeAll": true, + "multi": true, + "name": "RayNodeType", + "options": [ + { + "selected": false, + "text": "All", + "value": "$__all" + }, + { + "selected": false, + "text": "Head Node", + "value": "head" + }, + { + "selected": false, + "text": "Worker Node", + "value": "worker" + } + ], + "query": "head, worker", + "type": "custom" + } ] } } diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 877257b78b1e..a94f7d0a5b96 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -1320,10 +1320,12 @@ def generate_worker_stats_record(self, worker_stats: List[dict]) -> List[Record] def _to_records(self, stats, cluster_stats) -> List[Record]: records_reported = [] ip = stats["ip"] - is_head_node = str(self._is_head_node).lower() + ray_node_type = "head" if self._is_head_node else "worker" + is_head_node = "true" if self._is_head_node else "false" # Common tags for node-level metrics - node_tags = {"ip": ip, "IsHeadNode": is_head_node} + # We use RayNodeType to mark head/worker node, IsHeadNode is retained for backward compatibility + node_tags = {"ip": ip, "RayNodeType": ray_node_type, "IsHeadNode": is_head_node} # -- Instance count of cluster -- # Only report cluster stats on head node diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 4ea6b4070f2f..28820f370965 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -335,9 +335,11 @@ def test_report_stats(): print(record.gauge.name) print(record) assert len(records) == 41 - # Verify IsHeadNode tag + # Verify RayNodeType and IsHeadNode tags for record in records: if record.gauge.name.startswith("node_"): + assert "RayNodeType" in record.tags + assert record.tags["RayNodeType"] == "head" assert "IsHeadNode" in record.tags assert record.tags["IsHeadNode"] == "true" # Test stats without raylets @@ -458,13 +460,19 @@ def test_report_stats_gpu(): index = 0 for record in records: if record.tags["GpuIndex"] == "3": - assert record.tags == {"ip": ip, "GpuIndex": "3", "IsHeadNode": "true"} + assert record.tags == { + "ip": ip, + "GpuIndex": "3", + "IsHeadNode": "true", + "RayNodeType": "head", + } else: assert record.tags == { "ip": ip, # The tag value must be string for prometheus. "GpuIndex": str(index), "GpuDeviceName": "NVIDIA A10G", + "RayNodeType": "head", "IsHeadNode": "true", } diff --git a/python/ray/tests/test_metrics_head.py b/python/ray/tests/test_metrics_head.py index 9ac48c5bb131..6fdcb3306404 100644 --- a/python/ray/tests/test_metrics_head.py +++ b/python/ray/tests/test_metrics_head.py @@ -140,6 +140,9 @@ def test_metrics_folder_with_dashboard_override( for variable in contents["templating"]["list"]: if variable["name"] == "datasource": continue + if variable["name"] == "RayNodeType": + # RayNodeType uses hardcoded values instead of a query + continue assert global_filters in variable["definition"] assert global_filters in variable["query"]["query"] assert "supportsGlobalFilterOverride" in contents["rayMeta"] From 4d3842426625580ee02e69e3fdcfe0a76b3b4d3f Mon Sep 17 00:00:00 2001 From: Kit Lee <7000003+wingkitlee0@users.noreply.github.com> Date: Mon, 11 Aug 2025 12:56:50 -0400 Subject: [PATCH 0603/1566] [core] Add as_completed and map_unordered APIs (#53461) ## Why are these changes needed? This PR adds two public APIs: - `as_completed` for "unordered ray.get" - `map_unordered` for "unordered map" As described in #52696 , many new users learned about the `@ray.remote` decorator but failed to scale up their applications. Therefore, it will be helpful to provide some helper functions that follow the design patterns on Ray's documentation: https://docs.ray.io/en/latest/ray-core/patterns/index.html These two functions are marked as alpha Public APIs because ideally they should be public and used by new users. Closes #52696 Signed-off-by: Kit Lee <7000003+wingkitlee0@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/api/core.rst | 2 + python/ray/tests/BUILD | 1 + python/ray/tests/test_util_helpers.py | 188 +++++++++++++++++++ python/ray/util/__init__.py | 3 + python/ray/util/helpers.py | 255 ++++++++++++++++++++++++++ 5 files changed, 449 insertions(+) create mode 100644 python/ray/tests/test_util_helpers.py create mode 100644 python/ray/util/helpers.py diff --git a/doc/source/ray-core/api/core.rst b/doc/source/ray-core/api/core.rst index 1a428adbd8c3..b860c87fa6df 100644 --- a/doc/source/ray-core/api/core.rst +++ b/doc/source/ray-core/api/core.rst @@ -50,6 +50,8 @@ Objects ray.get ray.wait ray.put + ray.util.as_completed + ray.util.map_unordered .. _runtime-context-apis: diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index a2b2f3b002a9..46dccaa12c0e 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -67,6 +67,7 @@ py_test_module_list( "test_reference_counting_2.py", "test_reference_counting_standalone.py", "test_runtime_env_agent.py", + "test_util_helpers.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_util_helpers.py b/python/ray/tests/test_util_helpers.py new file mode 100644 index 000000000000..265b6931f528 --- /dev/null +++ b/python/ray/tests/test_util_helpers.py @@ -0,0 +1,188 @@ +import pytest +import sys +import ray +from ray.util import as_completed, map_unordered +from ray._common.test_utils import SignalActor + + +@pytest.fixture(scope="module") +def ray_init_4_cpu_shared(): + ray.init(num_cpus=4) + yield + ray.shutdown() + + +@pytest.mark.parametrize("yield_obj_refs", [True, False]) +def test_as_completed_chunk_size_1(ray_init_4_cpu_shared, yield_obj_refs): + """Test as_completed with chunk_size=1. + + Use SignalActor to control task completion order and mimic time.sleep(x) behavior. + + """ + inputs = [10, 8, 6, 4, 2] + + # Create signals for each task + signals = [SignalActor.remote() for _ in range(len(inputs))] + + # Create tasks + @ray.remote + def f(x, signal): + ray.get(signal.wait.remote()) + return x + + # Submit tasks with their corresponding signals in the original order + refs = [f.remote(x, signal) for x, signal in zip(inputs, signals)] + + # Use as_completed() lazily + it = as_completed(refs, chunk_size=1, yield_obj_refs=yield_obj_refs) + + # Send signal in reverse order to mimic time.sleep(x), i.e., + # smallest value releases first. At the same time, collect results + + results = [] + for signal in reversed(signals): + ray.get(signal.send.remote()) + results.append(next(it)) + + if yield_obj_refs: + results = ray.get(results) + + assert results == [2, 4, 6, 8, 10] + + +@pytest.mark.parametrize("yield_obj_refs", [True, False]) +def test_as_completed_chunk_size_2(ray_init_4_cpu_shared, yield_obj_refs): + """Test as_completed with chunk_size=2. + + Use SignalActor to control task completion order and mimic time.sleep(x) behavior. + + """ + inputs = [10, 8, 6, 4, 2] + + # Create signals for each task + signals = [SignalActor.remote() for _ in range(len(inputs))] + + # Create tasks + @ray.remote + def f(x, signal): + ray.get(signal.wait.remote()) + return x + + # Submit tasks with their corresponding signals in the original order + refs = [f.remote(x, signal) for x, signal in zip(inputs, signals)] + + # Use as_completed() lazily + it = as_completed(refs, chunk_size=2, yield_obj_refs=yield_obj_refs) + + # Send signal in reverse order to mimic time.sleep(x), i.e., + # smallest value releases first. At the same time, collect results + + results = [] + + ray.get(signals[4].send.remote()) + ray.get(signals[3].send.remote()) + results.append(next(it)) + results.append(next(it)) + + ray.get(signals[2].send.remote()) + ray.get(signals[1].send.remote()) + results.append(next(it)) + results.append(next(it)) + + ray.get(signals[0].send.remote()) + results.append(next(it)) + + if yield_obj_refs: + results = ray.get(results) + + assert results == [4, 2, 8, 6, 10] + + +@pytest.mark.parametrize("yield_obj_refs", [True, False]) +def test_map_unordered_chunk_size_1(ray_init_4_cpu_shared, yield_obj_refs): + """Test map_unordered with chunk_size=1. + + Use SignalActor to control task completion order and mimic time.sleep(x) behavior. + + """ + inputs = [10, 8, 6, 4, 2] + + # Create signals for each task + signals = [SignalActor.remote() for _ in range(len(inputs))] + + # Create tasks + @ray.remote + def f(args): + x, signal = args + ray.get(signal.wait.remote()) + return x + + # Submit tasks with their corresponding signals in the original order + it = map_unordered( + f, zip(inputs, signals), chunk_size=1, yield_obj_refs=yield_obj_refs + ) + + # Send signal in reverse order to mimic time.sleep(x), i.e., + # smallest value releases first. At the same time, collect results + + results = [] + for signal in reversed(signals): + ray.get(signal.send.remote()) + results.append(next(it)) + + if yield_obj_refs: + results = ray.get(results) + + assert results == [2, 4, 6, 8, 10] + + +@pytest.mark.parametrize("yield_obj_refs", [True, False]) +def test_map_unordered_chunk_size_2(ray_init_4_cpu_shared, yield_obj_refs): + """Test map_unordered with chunk_size=2. + + Use SignalActor to control task completion order and mimic time.sleep(x) behavior. + + """ + inputs = [10, 8, 6, 4, 2] + + # Create signals for each task + signals = [SignalActor.remote() for _ in range(len(inputs))] + + # Create tasks + @ray.remote + def f(args): + x, signal = args + ray.get(signal.wait.remote()) + return x + + # Submit tasks with their corresponding signals in the original order + it = map_unordered( + f, zip(inputs, signals), chunk_size=2, yield_obj_refs=yield_obj_refs + ) + + # Send signal in reverse order to mimic time.sleep(x), i.e., + # smallest value releases first. At the same time, collect results + + results = [] + + ray.get(signals[4].send.remote()) + ray.get(signals[3].send.remote()) + results.append(next(it)) + results.append(next(it)) + + ray.get(signals[2].send.remote()) + ray.get(signals[1].send.remote()) + results.append(next(it)) + results.append(next(it)) + + ray.get(signals[0].send.remote()) + results.append(next(it)) + + if yield_obj_refs: + results = ray.get(results) + + assert results == [4, 2, 8, 6, 10] + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/util/__init__.py b/python/ray/util/__init__.py index bc8b6eae909a..81feec19bcda 100644 --- a/python/ray/util/__init__.py +++ b/python/ray/util/__init__.py @@ -13,6 +13,7 @@ from ray.util.check_serialize import inspect_serializability from ray.util.client_connect import connect, disconnect from ray.util.debug import disable_log_once_globally, enable_periodic_logging, log_once +from ray.util.helpers import as_completed, map_unordered from ray.util.placement_group import ( get_current_placement_group, get_placement_group, @@ -52,6 +53,7 @@ def list_named_actors(all_namespaces: bool = False) -> List[str]: __all__ = [ "accelerators", "ActorPool", + "as_completed", "disable_log_once_globally", "enable_periodic_logging", "iter", @@ -63,6 +65,7 @@ def list_named_actors(all_namespaces: bool = False) -> List[str]: "get_current_placement_group", "get_node_instance_id", "get_node_ip_address", + "map_unordered", "remove_placement_group", "ray_debugpy", "inspect_serializability", diff --git a/python/ray/util/helpers.py b/python/ray/util/helpers.py new file mode 100644 index 000000000000..b53c3c970a74 --- /dev/null +++ b/python/ray/util/helpers.py @@ -0,0 +1,255 @@ +from typing import TYPE_CHECKING, Any, Iterable, Iterator, Optional, Sequence, Union +import ray +from ray.util.annotations import PublicAPI + +if TYPE_CHECKING: + from ray import ObjectRef + from ray.remote_function import RemoteFunction + + +# ray.wait() has a default num_returns of 1. +# Using a slightly larger batch until the optimization is fully implemented, see +# https://github.com/ray-project/ray/issues/49905 +DEFAULT_CHUNK_SIZE = 10 +DEFAULT_BACKPRESSURE_SIZE = 100 + + +def _wait_and_get_single_batch( + refs: "Sequence[ObjectRef]", + *, + chunk_size: int, + yield_obj_refs: bool = False, + **kwargs, +) -> tuple[list[Union[Any, "ObjectRef"]], "list[ObjectRef]"]: + """Call ray.wait and explicitly return the ready objects/results + and remaining Ray remote refs. + + Args: + refs: A list of Ray object refs. + chunk_size: The `num_returns` parameter to pass to `ray.wait()`. + yield_obj_refs: If True, return Ray remote refs instead of results (by calling :meth:`~ray.get`). + **kwargs: Additional keyword arguments to pass to `ray.wait()`. + + Returns: + A tuple of two lists, ready and not ready. This is the same as the return value of `ray.wait()`. + """ + + if chunk_size < 1: + raise ValueError("`chunk_size` must be >= 1") + + kwargs = kwargs or {} + + # num_returns must be <= len(refs) + ready, refs = ray.wait( + refs, + num_returns=min(chunk_size, len(refs)), + **kwargs, + ) + + if not yield_obj_refs: + return ray.get(ready), refs + + return ready, refs + + +@PublicAPI(stability="alpha") +def as_completed( + refs: "Sequence[ObjectRef]", + *, + chunk_size: int = DEFAULT_CHUNK_SIZE, + yield_obj_refs: bool = False, + **kwargs, +) -> Iterator[Union[Any, "ObjectRef"]]: + """Given a list of Ray task references, yield results as they become available. + + Unlike calling :meth:`~ray.get` on a list of references (i.e., `ray.get(refs)`) which + waits for all results to be ready, this function begins to yield result as soon as + a batch of `chunk_size` results are ready. + + .. note:: + Generally there is no guarantee on the order of results. For example, the first result + is not necessarily the first one completed, but rather the first one submitted in the + first available batch (See :meth:`~ray.wait` for more details about + preservation of submission order). + + .. note:: + Use this function instead of calling :meth:`~ray.get` inside a for loop. See + https://docs.ray.io/en/latest/ray-core/patterns/ray-get-loop.html for more details. + + Example: + Suppose we have a function that sleeps for x seconds depending on the input. + We expect to obtain a partially sorted list of results. + + .. testcode:: python + import ray + import time + + @ray.remote + def f(x): + time.sleep(x) + return x + + refs = [f.remote(i) for i in [10, 4, 6, 8, 2]] + for x in ray.util.as_completed(refs, chunk_size=2): + print(x) + + .. testoutput:: + :options: +MOCK + + # Output: + 4 + 2 + 6 + 8 + 10 + + Args: + refs: A list of Ray object refs. + chunk_size: The number of tasks to wait for in each iteration (default 10). + The parameter is passed as `num_returns` to :meth:`~ray.wait` internally. + yield_obj_refs: If True, return Ray remote refs instead of results (by calling :meth:`~ray.get`). + **kwargs: Additional keyword arguments to pass to :meth:`~ray.wait`, e.g., + `timeout` and `fetch_local`. + + Yields: + Union[Any, ObjectRef]: The results (or optionally their Ray references) of the Ray tasks as they complete. + """ + if chunk_size < 1: + raise ValueError("`chunk_size` must be >= 1") + + if "num_returns" in kwargs: + raise ValueError("Use the `chunksize` argument instead of `num_returns`.") + + while refs: + results, refs = _wait_and_get_single_batch( + refs, + chunk_size=chunk_size, + yield_obj_refs=yield_obj_refs, + **kwargs, + ) + yield from results + + +@PublicAPI(stability="alpha") +def map_unordered( + fn: "RemoteFunction", + items: Iterable[Any], + *, + backpressure_size: Optional[int] = DEFAULT_BACKPRESSURE_SIZE, + chunk_size: int = DEFAULT_CHUNK_SIZE, + yield_obj_refs: bool = False, + **kwargs, +) -> Iterator[Union[Any, "ObjectRef"]]: + """Apply a Ray remote function to a list of items and return an iterator that yields + the completed results as they become available. + + This helper function applies backpressure to control the number of pending tasks, following the + design pattern described in + https://docs.ray.io/en/latest/ray-core/patterns/limit-pending-tasks.html. + + .. note:: + There is generally no guarantee on the order of results. + + Example: + Suppose we have a function that sleeps for x seconds depending on the input. + We expect to obtain a partially sorted list of results. + + .. testcode:: python + + import ray + import time + + @ray.remote + def f(x): + time.sleep(x) + return x + + # Example 1: chunk_size=2 + for x in ray.util.map_unordered(f, [10, 4, 6, 8, 2], chunk_size=2): + print(x) + + .. testoutput:: + :options: +MOCK + + 4 + 2 + 6 + 8 + 10 + + .. testcode:: python + + # Example 2: backpressure_size=2, chunk_size=1 + for x in ray.util.map_unordered(f, [10, 4, 6, 8, 2], backpressure_size=2, chunk_size=1): + print(x) + + .. testoutput:: + :options: +MOCK + + 4 + 10 + 6 + 8 + 2 + + Args: + fn: A remote function to apply to the list of items. For more complex use cases, use Ray Data's + :meth:`~ray.data.Dataset.map` / :meth:`~ray.data.Dataset.map_batches` instead. + items: An iterable of items to apply the function to. + backpressure_size: Maximum number of in-flight tasks allowed before + calling a blocking :meth:`~ray.wait` (default 100). If None, no backpressure is applied. + chunk_size: The number of tasks to wait for when the number of in-flight tasks exceeds + `backpressure_size`. The parameter is passed as `num_returns` to :meth:`~ray.wait` internally. + yield_obj_refs: If True, return Ray remote refs instead of results (by calling :meth:`~ray.get`). + **kwargs: Additional keyword arguments to pass to :meth:`~ray.wait`, e.g., + `timeout` and `fetch_local`. + + Yields: + Union[Any, ObjectRef]: The results (or optionally their Ray references) of the Ray tasks as they complete. + + .. seealso:: + + :meth:`~ray.util.as_completed` + Call this method for an existing list of Ray object refs. + + :meth:`~ray.data.Dataset.map` + Use Ray Data APIs (e.g., :meth:`~ray.data.Dataset.map` and :meth:`~ray.data.Dataset.map_batches`) + for better control and complex use cases, e.g., functions with multiple arguments. + + .. note:: + + This is an altenative to `pool.imap_unordered()` in Ray's Actor-based `multiprocessing.Pool`. + See https://docs.ray.io/en/latest/ray-more-libs/multiprocessing.html for more details. + + """ + + if backpressure_size is None: + backpressure_size: float = float("inf") + elif backpressure_size <= 0: + raise ValueError("backpressure_size must be positive.") + + if chunk_size < 1: + raise ValueError("`chunk_size` must be >= 1") + + if "num_returns" in kwargs: + raise ValueError("Use the `chunk_size` argument instead of `num_returns`.") + + refs = [] + for item in items: + refs.append(fn.remote(item)) + + if len(refs) >= backpressure_size: + results, refs = _wait_and_get_single_batch( + refs, + chunk_size=chunk_size, + yield_obj_refs=yield_obj_refs, + **kwargs, + ) + yield from results + else: + yield from as_completed( + refs, + chunk_size=chunk_size, + yield_obj_refs=yield_obj_refs, + **kwargs, + ) From 7773b63a70a9571839157e3ecbf4c5f63c861d43 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 11 Aug 2025 12:28:09 -0500 Subject: [PATCH 0604/1566] [core] Rename `transport/` to `task_submission/` and clean up BUILD targets (#55449) Follow up from: https://github.com/ray-project/ray/pull/55421 This revealed a lot of oddities in our dependency structure in these files. The most glaring is that we have excessive dependencies between actor manager / actor handle / actor creator / actor task submitter. Will try to clean that up sometime. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 106 +----------------- src/ray/core_worker/actor_manager.h | 2 +- src/ray/core_worker/core_worker.cc | 24 ---- src/ray/core_worker/core_worker.h | 15 +-- .../core_worker/task_submission/BUILD.bazel | 99 ++++++++++++++++ .../actor_submit_queue.h | 1 - .../actor_task_submitter.cc | 2 +- .../actor_task_submitter.h | 13 +-- .../dependency_resolver.cc | 2 +- .../dependency_resolver.h | 0 .../normal_task_submitter.cc | 27 ++++- .../normal_task_submitter.h | 15 ++- .../out_of_order_actor_submit_queue.cc | 2 +- .../out_of_order_actor_submit_queue.h | 2 +- .../sequential_actor_submit_queue.cc | 2 +- .../sequential_actor_submit_queue.h | 2 +- .../task_submission/test/BUILD.bazel | 77 +++++++++++++ .../test/actor_task_submitter_test.cc | 2 +- .../test/dependency_resolver_test.cc | 5 +- .../test/direct_actor_transport_test.cc} | 2 +- .../test/normal_task_submitter_test.cc | 3 +- .../out_of_order_actor_submit_queue_test.cc} | 4 +- src/ray/core_worker/test/BUILD.bazel | 85 -------------- src/ray/core_worker/test/core_worker_test.cc | 4 +- .../test/object_recovery_manager_test.cc | 1 - 25 files changed, 240 insertions(+), 257 deletions(-) create mode 100644 src/ray/core_worker/task_submission/BUILD.bazel rename src/ray/core_worker/{transport => task_submission}/actor_submit_queue.h (98%) rename src/ray/core_worker/{transport => task_submission}/actor_task_submitter.cc (99%) rename src/ray/core_worker/{transport => task_submission}/actor_task_submitter.h (97%) rename src/ray/core_worker/{transport => task_submission}/dependency_resolver.cc (99%) rename src/ray/core_worker/{transport => task_submission}/dependency_resolver.h (100%) rename src/ray/core_worker/{transport => task_submission}/normal_task_submitter.cc (97%) rename src/ray/core_worker/{transport => task_submission}/normal_task_submitter.h (96%) rename src/ray/core_worker/{transport => task_submission}/out_of_order_actor_submit_queue.cc (97%) rename src/ray/core_worker/{transport => task_submission}/out_of_order_actor_submit_queue.h (97%) rename src/ray/core_worker/{transport => task_submission}/sequential_actor_submit_queue.cc (98%) rename src/ray/core_worker/{transport => task_submission}/sequential_actor_submit_queue.h (97%) create mode 100644 src/ray/core_worker/task_submission/test/BUILD.bazel rename src/ray/core_worker/{ => task_submission}/test/actor_task_submitter_test.cc (99%) rename src/ray/core_worker/{ => task_submission}/test/dependency_resolver_test.cc (98%) rename src/ray/core_worker/{test/direct_actor_transport_mock_test.cc => task_submission/test/direct_actor_transport_test.cc} (99%) rename src/ray/core_worker/{ => task_submission}/test/normal_task_submitter_test.cc (99%) rename src/ray/core_worker/{test/actor_submit_queue_test.cc => task_submission/test/out_of_order_actor_submit_queue_test.cc} (96%) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 931ad1959ad0..a47df3870715 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -22,7 +22,6 @@ ray_cc_library( ":future_resolver", ":generator_waiter", ":memory_store", - ":normal_task_submitter", ":object_recovery_manager", ":plasma_store_provider", ":profile_event", @@ -32,6 +31,7 @@ ray_cc_library( "//src/ray/common/cgroup:cgroup_manager", "//src/ray/common/cgroup:constants", "//src/ray/core_worker/task_execution:task_receiver", + "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:raylet_ipc_client", @@ -73,25 +73,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "core_worker_fiber", - hdrs = ["fiber.h"], - deps = [ - "//src/ray/util:logging", - "@boost//:fiber", - ], -) - -ray_cc_library( - name = "actor_submit_queue", - hdrs = ["transport/actor_submit_queue.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:task_common", - "@com_google_absl//absl/types:optional", - ], -) - ray_cc_library( name = "common", srcs = ["common.cc"], @@ -150,12 +131,12 @@ ray_cc_library( deps = [ ":actor_creator", ":actor_handle", - ":actor_task_submitter", ":common", ":core_worker_context", ":reference_count", "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/core_worker/task_submission:actor_task_submitter", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:core_worker_cc_proto", @@ -169,8 +150,8 @@ ray_cc_library( srcs = ["reference_count.cc"], hdrs = ["reference_count.h"], deps = [ - ":lease_policy", "//src/ray/common:id", + "//src/ray/core_worker:lease_policy", "//src/ray/protobuf:common_cc_proto", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", @@ -187,6 +168,7 @@ ray_cc_library( name = "lease_policy", srcs = ["lease_policy.cc"], hdrs = ["lease_policy.h"], + visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", "//src/ray/common:task_common", @@ -219,29 +201,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "out_of_order_actor_submit_queue", - srcs = ["transport/out_of_order_actor_submit_queue.cc"], - hdrs = ["transport/out_of_order_actor_submit_queue.h"], - deps = [ - ":actor_submit_queue", - "//src/ray/common:id", - "@com_google_absl//absl/container:btree", - "@com_google_absl//absl/types:optional", - ], -) - -ray_cc_library( - name = "sequential_actor_submit_queue", - srcs = ["transport/sequential_actor_submit_queue.cc"], - hdrs = ["transport/sequential_actor_submit_queue.h"], - deps = [ - "actor_submit_queue", - "//src/ray/common:id", - "@com_google_absl//absl/types:optional", - ], -) - ray_cc_library( name = "memory_store", srcs = ["store_provider/memory_store/memory_store.cc"], @@ -298,44 +257,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "dependency_resolver", - srcs = ["transport/dependency_resolver.cc"], - hdrs = ["transport/dependency_resolver.h"], - deps = [ - ":actor_creator", - ":memory_store", - ":task_manager_interface", - "//src/ray/common:id", - "//src/ray/common:task_common", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - ], -) - -ray_cc_library( - name = "actor_task_submitter", - srcs = ["transport/actor_task_submitter.cc"], - hdrs = ["transport/actor_task_submitter.h"], - deps = [ - ":actor_creator", - ":actor_submit_queue", - ":core_worker_context", - ":dependency_resolver", - ":out_of_order_actor_submit_queue", - ":sequential_actor_submit_queue", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:ray_object", - "//src/ray/gcs:gcs_pb_util", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/rpc:core_worker_client", - "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - ], -) - ray_cc_library( name = "experimental_mutable_object_manager", srcs = ["experimental_mutable_object_manager.cc"], @@ -432,22 +353,3 @@ ray_cc_library( "@com_google_absl//absl/container:flat_hash_set", ], ) - -ray_cc_library( - name = "normal_task_submitter", - srcs = ["transport/normal_task_submitter.cc"], - hdrs = ["transport/normal_task_submitter.h"], - deps = [ - ":actor_manager", - ":core_worker_context", - ":dependency_resolver", - ":lease_policy", - ":memory_store", - ":task_manager", - "//src/ray/common:id", - "//src/ray/gcs:gcs_pb_util", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_client", - "@com_google_absl//absl/base:core_headers", - ], -) diff --git a/src/ray/core_worker/actor_manager.h b/src/ray/core_worker/actor_manager.h index 897aa45e5b5b..3d91ca155dbc 100644 --- a/src/ray/core_worker/actor_manager.h +++ b/src/ray/core_worker/actor_manager.h @@ -25,7 +25,7 @@ #include "ray/core_worker/actor_creator.h" #include "ray/core_worker/actor_handle.h" #include "ray/core_worker/reference_count.h" -#include "ray/core_worker/transport/actor_task_submitter.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/gcs/gcs_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 6cebf980861a..634c82975e3b 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -4655,28 +4655,4 @@ void CoreWorker::TaskManagerRetryTask(TaskSpecification &spec, } } -ClusterSizeBasedLeaseRequestRateLimiter::ClusterSizeBasedLeaseRequestRateLimiter( - size_t min_concurrent_lease_limit) - : min_concurrent_lease_cap_(min_concurrent_lease_limit), num_alive_nodes_(0) {} - -size_t ClusterSizeBasedLeaseRequestRateLimiter:: - GetMaxPendingLeaseRequestsPerSchedulingCategory() { - return std::max(min_concurrent_lease_cap_, num_alive_nodes_.load()); -} - -void ClusterSizeBasedLeaseRequestRateLimiter::OnNodeChanges( - const rpc::GcsNodeInfo &data) { - if (data.state() == rpc::GcsNodeInfo::DEAD) { - if (num_alive_nodes_ != 0) { - num_alive_nodes_--; - } else { - RAY_LOG(WARNING) << "Node" << data.node_manager_address() - << " change state to DEAD but num_alive_node is 0."; - } - } else { - num_alive_nodes_++; - } - RAY_LOG_EVERY_MS(INFO, 60000) << "Number of alive nodes:" << num_alive_nodes_.load(); -} - } // namespace ray::core diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 003a9954b683..d2dc9610cac7 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -46,7 +46,7 @@ #include "ray/core_worker/store_provider/plasma_store_provider.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_execution/task_receiver.h" -#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client.h" #include "ray/pubsub/publisher.h" @@ -1928,17 +1928,4 @@ class CoreWorker { std::condition_variable gcs_client_node_cache_populated_cv_; bool gcs_client_node_cache_populated_ = false; }; - -// Lease request rate-limiter based on cluster node size. -// It returns max(num_nodes_in_cluster, min_concurrent_lease_limit) -class ClusterSizeBasedLeaseRequestRateLimiter : public LeaseRequestRateLimiter { - public: - explicit ClusterSizeBasedLeaseRequestRateLimiter(size_t min_concurrent_lease_limit); - size_t GetMaxPendingLeaseRequestsPerSchedulingCategory() override; - void OnNodeChanges(const rpc::GcsNodeInfo &data); - - private: - const size_t min_concurrent_lease_cap_; - std::atomic num_alive_nodes_; -}; } // namespace ray::core diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel new file mode 100644 index 000000000000..6cd702f312f6 --- /dev/null +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -0,0 +1,99 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "dependency_resolver", + srcs = ["dependency_resolver.cc"], + hdrs = ["dependency_resolver.h"], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/core_worker:actor_creator", + "//src/ray/core_worker:lease_policy", + "//src/ray/core_worker:memory_store", + "//src/ray/core_worker:task_manager_interface", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +ray_cc_library( + name = "actor_submit_queue", + hdrs = ["actor_submit_queue.h"], + visibility = ["//visibility:private"], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "@com_google_absl//absl/types:optional", + ], +) + +ray_cc_library( + name = "out_of_order_actor_submit_queue", + srcs = ["out_of_order_actor_submit_queue.cc"], + hdrs = ["out_of_order_actor_submit_queue.h"], + visibility = [":__subpackages__"], + deps = [ + ":actor_submit_queue", + "//src/ray/common:id", + "@com_google_absl//absl/container:btree", + "@com_google_absl//absl/types:optional", + ], +) + +ray_cc_library( + name = "sequential_actor_submit_queue", + srcs = ["sequential_actor_submit_queue.cc"], + hdrs = ["sequential_actor_submit_queue.h"], + visibility = [":__subpackages__"], + deps = [ + ":actor_submit_queue", + "//src/ray/common:id", + "@com_google_absl//absl/types:optional", + ], +) + +ray_cc_library( + name = "actor_task_submitter", + srcs = ["actor_task_submitter.cc"], + hdrs = ["actor_task_submitter.h"], + visibility = [ + ":__subpackages__", + "//src/ray/core_worker:__pkg__", + ], + deps = [ + ":actor_submit_queue", + ":dependency_resolver", + ":out_of_order_actor_submit_queue", + ":sequential_actor_submit_queue", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/core_worker:actor_creator", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/rpc:core_worker_client", + "@com_google_absl//absl/base:core_headers", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +ray_cc_library( + name = "normal_task_submitter", + srcs = ["normal_task_submitter.cc"], + hdrs = ["normal_task_submitter.h"], + visibility = [ + ":__subpackages__", + "//src/ray/core_worker:__pkg__", + ], + deps = [ + ":dependency_resolver", + "//src/ray/common:id", + "//src/ray/core_worker:lease_policy", + "//src/ray/core_worker:memory_store", + "//src/ray/core_worker:task_manager", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_client", + "@com_google_absl//absl/base:core_headers", + ], +) diff --git a/src/ray/core_worker/transport/actor_submit_queue.h b/src/ray/core_worker/task_submission/actor_submit_queue.h similarity index 98% rename from src/ray/core_worker/transport/actor_submit_queue.h rename to src/ray/core_worker/task_submission/actor_submit_queue.h index 0f3dbd6c4182..e84f662a380f 100644 --- a/src/ray/core_worker/transport/actor_submit_queue.h +++ b/src/ray/core_worker/task_submission/actor_submit_queue.h @@ -37,7 +37,6 @@ namespace core { * to know the actual sequence_no to send over the network. * * This class is not thread safe. - * TODO(scv119): the protocol could be improved. */ class IActorSubmitQueue { public: diff --git a/src/ray/core_worker/transport/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc similarity index 99% rename from src/ray/core_worker/transport/actor_task_submitter.cc rename to src/ray/core_worker/task_submission/actor_task_submitter.cc index 7de64c9e1330..8ff56cd4f150 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/actor_task_submitter.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" #include #include diff --git a/src/ray/core_worker/transport/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h similarity index 97% rename from src/ray/core_worker/transport/actor_task_submitter.h rename to src/ray/core_worker/task_submission/actor_task_submitter.h index 8a8350a9f64c..1d699bd3c8ca 100644 --- a/src/ray/core_worker/transport/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -14,8 +14,6 @@ #pragma once -#include -#include #include #include #include @@ -31,15 +29,12 @@ #include "absl/synchronization/mutex.h" #include "ray/common/asio/asio_util.h" #include "ray/common/id.h" -#include "ray/common/ray_object.h" #include "ray/core_worker/actor_creator.h" -#include "ray/core_worker/context.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/transport/actor_submit_queue.h" -#include "ray/core_worker/transport/dependency_resolver.h" -#include "ray/core_worker/transport/out_of_order_actor_submit_queue.h" -#include "ray/core_worker/transport/sequential_actor_submit_queue.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/core_worker/task_submission/actor_submit_queue.h" +#include "ray/core_worker/task_submission/dependency_resolver.h" +#include "ray/core_worker/task_submission/out_of_order_actor_submit_queue.h" +#include "ray/core_worker/task_submission/sequential_actor_submit_queue.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { diff --git a/src/ray/core_worker/transport/dependency_resolver.cc b/src/ray/core_worker/task_submission/dependency_resolver.cc similarity index 99% rename from src/ray/core_worker/transport/dependency_resolver.cc rename to src/ray/core_worker/task_submission/dependency_resolver.cc index f35fd39175e0..a9600f535465 100644 --- a/src/ray/core_worker/transport/dependency_resolver.cc +++ b/src/ray/core_worker/task_submission/dependency_resolver.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/dependency_resolver.h" +#include "ray/core_worker/task_submission/dependency_resolver.h" #include #include diff --git a/src/ray/core_worker/transport/dependency_resolver.h b/src/ray/core_worker/task_submission/dependency_resolver.h similarity index 100% rename from src/ray/core_worker/transport/dependency_resolver.h rename to src/ray/core_worker/task_submission/dependency_resolver.h diff --git a/src/ray/core_worker/transport/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc similarity index 97% rename from src/ray/core_worker/transport/normal_task_submitter.cc rename to src/ray/core_worker/task_submission/normal_task_submitter.cc index b95d61224e0f..47dcd21fe3a7 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -12,8 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/core_worker/task_submission/normal_task_submitter.h" +#include #include #include #include @@ -831,5 +832,29 @@ bool NormalTaskSubmitter::QueueGeneratorForResubmit(const TaskSpecification &spe return true; } +ClusterSizeBasedLeaseRequestRateLimiter::ClusterSizeBasedLeaseRequestRateLimiter( + size_t min_concurrent_lease_limit) + : min_concurrent_lease_cap_(min_concurrent_lease_limit), num_alive_nodes_(0) {} + +size_t ClusterSizeBasedLeaseRequestRateLimiter:: + GetMaxPendingLeaseRequestsPerSchedulingCategory() { + return std::max(min_concurrent_lease_cap_, num_alive_nodes_.load()); +} + +void ClusterSizeBasedLeaseRequestRateLimiter::OnNodeChanges( + const rpc::GcsNodeInfo &data) { + if (data.state() == rpc::GcsNodeInfo::DEAD) { + if (num_alive_nodes_ != 0) { + num_alive_nodes_--; + } else { + RAY_LOG(WARNING) << "Node" << data.node_manager_address() + << " change state to DEAD but num_alive_node is 0."; + } + } else { + num_alive_nodes_++; + } + RAY_LOG_EVERY_MS(INFO, 60000) << "Number of alive nodes:" << num_alive_nodes_.load(); +} + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/transport/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h similarity index 96% rename from src/ray/core_worker/transport/normal_task_submitter.h rename to src/ray/core_worker/task_submission/normal_task_submitter.h index f7fb0bcbe691..b882f9b93d88 100644 --- a/src/ray/core_worker/transport/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -30,7 +30,7 @@ #include "ray/core_worker/lease_policy.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" -#include "ray/core_worker/transport/dependency_resolver.h" +#include "ray/core_worker/task_submission/dependency_resolver.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" @@ -67,6 +67,19 @@ class StaticLeaseRequestRateLimiter : public LeaseRequestRateLimiter { const size_t kLimit; }; +// Lease request rate-limiter based on cluster node size. +// It returns max(num_nodes_in_cluster, min_concurrent_lease_limit) +class ClusterSizeBasedLeaseRequestRateLimiter : public LeaseRequestRateLimiter { + public: + explicit ClusterSizeBasedLeaseRequestRateLimiter(size_t min_concurrent_lease_limit); + size_t GetMaxPendingLeaseRequestsPerSchedulingCategory() override; + void OnNodeChanges(const rpc::GcsNodeInfo &data); + + private: + const size_t min_concurrent_lease_cap_; + std::atomic num_alive_nodes_; +}; + // This class is thread-safe. class NormalTaskSubmitter { public: diff --git a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc similarity index 97% rename from src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc rename to src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc index 32a8712e1682..75afa6274b71 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.cc +++ b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/out_of_order_actor_submit_queue.h" +#include "ray/core_worker/task_submission/out_of_order_actor_submit_queue.h" #include #include diff --git a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h similarity index 97% rename from src/ray/core_worker/transport/out_of_order_actor_submit_queue.h rename to src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h index facbb456775a..26284014a300 100644 --- a/src/ray/core_worker/transport/out_of_order_actor_submit_queue.h +++ b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h @@ -20,7 +20,7 @@ #include "absl/container/btree_map.h" #include "absl/types/optional.h" #include "ray/common/id.h" -#include "ray/core_worker/transport/actor_submit_queue.h" +#include "ray/core_worker/task_submission/actor_submit_queue.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/transport/sequential_actor_submit_queue.cc b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc similarity index 98% rename from src/ray/core_worker/transport/sequential_actor_submit_queue.cc rename to src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc index e5c676e21258..dc81606fd79f 100644 --- a/src/ray/core_worker/transport/sequential_actor_submit_queue.cc +++ b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/sequential_actor_submit_queue.h" +#include "ray/core_worker/task_submission/sequential_actor_submit_queue.h" #include #include diff --git a/src/ray/core_worker/transport/sequential_actor_submit_queue.h b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h similarity index 97% rename from src/ray/core_worker/transport/sequential_actor_submit_queue.h rename to src/ray/core_worker/task_submission/sequential_actor_submit_queue.h index 5559bed185d5..a971bdd9125a 100644 --- a/src/ray/core_worker/transport/sequential_actor_submit_queue.h +++ b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h @@ -20,7 +20,7 @@ #include "absl/container/btree_map.h" #include "absl/types/optional.h" #include "ray/common/id.h" -#include "ray/core_worker/transport/actor_submit_queue.h" +#include "ray/core_worker/task_submission/actor_submit_queue.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/test/BUILD.bazel b/src/ray/core_worker/task_submission/test/BUILD.bazel new file mode 100644 index 000000000000..0c96c0d3c0ae --- /dev/null +++ b/src/ray/core_worker/task_submission/test/BUILD.bazel @@ -0,0 +1,77 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "dep_res_test", + size = "small", + srcs = ["dependency_resolver_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/core_worker/task_submission:dependency_resolver", + "@com_google_googletest//:gtest", + ], +) + +ray_cc_test( + name = "ooo_submit_queue_test", + size = "small", + srcs = ["out_of_order_actor_submit_queue_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:asio", + "//src/ray/core_worker/task_submission:out_of_order_actor_submit_queue", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "da_transport_test", + srcs = ["direct_actor_transport_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/core_worker/task_submission:actor_task_submitter", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "at_submitter_test", + srcs = ["actor_task_submitter_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:asio", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/core_worker:actor_creator", + "//src/ray/core_worker:reference_count", + "//src/ray/core_worker:task_manager", + "//src/ray/rpc:core_worker_client", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "nt_submitter_test", + size = "small", + srcs = ["normal_task_submitter_test.cc"], + tags = ["team:core"], + deps = [ + "//:ray_fakes", + "//:ray_mock", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/core_worker:core_worker_lib", + "//src/ray/core_worker:memory_store", + "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_client", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/core_worker/test/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/test/actor_task_submitter_test.cc similarity index 99% rename from src/ray/core_worker/test/actor_task_submitter_test.cc rename to src/ray/core_worker/task_submission/test/actor_task_submitter_test.cc index d4bd062a551e..6aad5b7fc53a 100644 --- a/src/ray/core_worker/test/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/test/actor_task_submitter_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/actor_task_submitter.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" #include #include diff --git a/src/ray/core_worker/test/dependency_resolver_test.cc b/src/ray/core_worker/task_submission/test/dependency_resolver_test.cc similarity index 98% rename from src/ray/core_worker/test/dependency_resolver_test.cc rename to src/ray/core_worker/task_submission/test/dependency_resolver_test.cc index e36d721f53d4..011a72e99859 100644 --- a/src/ray/core_worker/test/dependency_resolver_test.cc +++ b/src/ray/core_worker/task_submission/test/dependency_resolver_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/dependency_resolver.h" +#include "ray/core_worker/task_submission/dependency_resolver.h" #include #include @@ -27,9 +27,6 @@ #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" -#include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/worker/core_worker_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc b/src/ray/core_worker/task_submission/test/direct_actor_transport_test.cc similarity index 99% rename from src/ray/core_worker/test/direct_actor_transport_mock_test.cc rename to src/ray/core_worker/task_submission/test/direct_actor_transport_test.cc index 8ea082cfa779..b5a7bf44bb77 100644 --- a/src/ray/core_worker/test/direct_actor_transport_mock_test.cc +++ b/src/ray/core_worker/task_submission/test/direct_actor_transport_test.cc @@ -11,7 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/actor_task_submitter.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" // clang-format off #include diff --git a/src/ray/core_worker/test/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc similarity index 99% rename from src/ray/core_worker/test/normal_task_submitter_test.cc rename to src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc index cb1ae15f7791..7e5a8b96bc2a 100644 --- a/src/ray/core_worker/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/core_worker/task_submission/normal_task_submitter.h" #include #include @@ -29,7 +29,6 @@ #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" -#include "ray/core_worker/core_worker.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/core_worker/test/actor_submit_queue_test.cc b/src/ray/core_worker/task_submission/test/out_of_order_actor_submit_queue_test.cc similarity index 96% rename from src/ray/core_worker/test/actor_submit_queue_test.cc rename to src/ray/core_worker/task_submission/test/out_of_order_actor_submit_queue_test.cc index d12f38ebd0a9..eabbab200fa0 100644 --- a/src/ray/core_worker/test/actor_submit_queue_test.cc +++ b/src/ray/core_worker/task_submission/test/out_of_order_actor_submit_queue_test.cc @@ -12,13 +12,13 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/core_worker/task_submission/out_of_order_actor_submit_queue.h" + #include #include #include #include "gtest/gtest.h" -#include "ray/common/test_util.h" -#include "ray/core_worker/transport/out_of_order_actor_submit_queue.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index c2b327301160..f94145237eb9 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -28,76 +28,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "actor_task_submitter_test", - srcs = ["actor_task_submitter_test.cc"], - tags = ["team:core"], - deps = [ - "//:ray_mock", - "//src/ray/common:asio", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/core_worker:actor_creator", - "//src/ray/core_worker:reference_count", - "//src/ray/core_worker:task_manager", - "//src/ray/rpc:core_worker_client", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "direct_actor_transport_mock_test", - srcs = ["direct_actor_transport_mock_test.cc"], - tags = ["team:core"], - deps = [ - "//:ray_mock", - "//src/ray/core_worker:memory_store", - "//src/ray/core_worker:reference_count", - "//src/ray/core_worker:task_manager", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "dependency_resolver_test", - size = "small", - srcs = ["dependency_resolver_test.cc"], - tags = ["team:core"], - deps = [ - "//:ray_mock", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/core_worker:dependency_resolver", - "//src/ray/core_worker:memory_store", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_client", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "normal_task_submitter_test", - size = "small", - srcs = ["normal_task_submitter_test.cc"], - tags = ["team:core"], - deps = [ - "//:ray_fakes", - "//:ray_mock", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/core_worker:core_worker_lib", - "//src/ray/core_worker:memory_store", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_client", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "reference_count_test", size = "small", @@ -127,7 +57,6 @@ ray_cc_test( "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", - "//src/ray/core_worker:normal_task_submitter", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", "//src/ray/raylet_client:raylet_client_lib", @@ -136,20 +65,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "actor_submit_queue_test", - size = "small", - srcs = ["actor_submit_queue_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:test_util", - "//src/ray/core_worker:out_of_order_actor_submit_queue", - "@com_google_googletest//:gtest", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "task_manager_test", size = "small", diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc index 1979d217aeac..1a667638c64d 100644 --- a/src/ray/core_worker/test/core_worker_test.cc +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -38,8 +38,8 @@ #include "ray/core_worker/object_recovery_manager.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/transport/actor_task_submitter.h" -#include "ray/core_worker/transport/normal_task_submitter.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" +#include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index 12317e359692..44e6f277a6e0 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -30,7 +30,6 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/transport/normal_task_submitter.h" #include "ray/raylet_client/raylet_client.h" namespace ray { From b3827a847c497fd756551d95b02d5e9761155caf Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 11 Aug 2025 10:28:25 -0700 Subject: [PATCH 0605/1566] [core][raycheck/02] core_worker_process already initialized (#54906) This PR fixes RAY_CHECK failures with the message !core_worker_process: The process is already initialized for core worker. These failures can occur when ray.init is called concurrently with itself or when ray.init and ray.shutdown are invoked concurrently from separate threads. **Case 1:** When ray.shutdown is called, it disconnects and begins destructing the driver. If ray.init/connect is triggered before the driver is fully destructed (and it might because the driver already disconnected from the cluster), it can lead to re-initialization of core_worker_process while it's still in a partially destructed state. **Case 2:** When ray.init/connect is called concurrently from two threads, both can attempt to initialize core_worker_process, resulting in a double initialization. To prevent these race conditions, this PR introduces a lock around ray.connect and ray.shutdown, ensuring they cannot interleave. Since these functions are meant to be called only once during the cluster lifecycle and should not overlap, this locking mechanism does not introduce performance overhead. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index e7fa2ef7782d..37879b15ba25 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -16,6 +16,7 @@ from collections.abc import Mapping from contextlib import contextmanager from dataclasses import dataclass +from functools import wraps from typing import ( TYPE_CHECKING, Any, @@ -1086,6 +1087,18 @@ def get_accelerator_ids_for_accelerator_resource( return list(assigned_ids) +_connect_or_shutdown_lock = threading.RLock() + + +def with_connect_or_shutdown_lock(func: Callable) -> Callable: + @wraps(func) + def wrapper(*args, **kwargs): + with _connect_or_shutdown_lock: + return func(*args, **kwargs) + + return wrapper + + @PublicAPI @client_mode_hook def get_gpu_ids() -> Union[List[int], List[str]]: @@ -1979,6 +1992,7 @@ def sigterm_handler(signum, frame): @PublicAPI @client_mode_hook +@with_connect_or_shutdown_lock def shutdown(_exiting_interpreter: bool = False): """Disconnect the worker, and terminate processes started by ray.init(). @@ -2356,6 +2370,7 @@ def is_initialized() -> bool: # TODO(hjiang): Add cgroup path along with [enable_resource_isolation]. +@with_connect_or_shutdown_lock def connect( node, session_name: str, From 1fedfa688128dc69042ecb1babe680d08b7fbc29 Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Mon, 11 Aug 2025 10:46:44 -0700 Subject: [PATCH 0606/1566] Fix Ray Train Docs Code Snippet Mis-highlighting (#54909) The Ray Train code snippets for pytorch getting started and xgboost getting started are mis-highlighted, drawing the readers' attention to the incorrect sections of code. This PR is to clean the mis-highlights and to add any that are missing. I also change the ordering of the tabs for all four getting started pages (pytorch, pytorch lightning, hugging face transformers, xgboost) so that the "+ Ray" tabs show first. --------- Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: matthewdeng Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- .../getting-started-pytorch-lightning.rst | 95 +++++++------- doc/source/train/getting-started-pytorch.rst | 100 ++++++++------- .../train/getting-started-transformers.rst | 119 +++++++++--------- doc/source/train/getting-started-xgboost.rst | 2 +- .../data-loading-preprocessing.rst | 4 +- .../train/user-guides/experiment-tracking.rst | 4 +- 6 files changed, 160 insertions(+), 164 deletions(-) diff --git a/doc/source/train/getting-started-pytorch-lightning.rst b/doc/source/train/getting-started-pytorch-lightning.rst index 9a24b8d77b82..96768a1ad9d2 100644 --- a/doc/source/train/getting-started-pytorch-lightning.rst +++ b/doc/source/train/getting-started-pytorch-lightning.rst @@ -38,54 +38,6 @@ Compare a PyTorch Lightning training script with and without Ray Train. .. tab-set:: - .. tab-item:: PyTorch Lightning - - .. This snippet isn't tested because it doesn't use any Ray code. - - .. testcode:: - :skipif: True - - import torch - from torchvision.models import resnet18 - from torchvision.datasets import FashionMNIST - from torchvision.transforms import ToTensor, Normalize, Compose - from torch.utils.data import DataLoader - import lightning.pytorch as pl - - # Model, Loss, Optimizer - class ImageClassifier(pl.LightningModule): - def __init__(self): - super(ImageClassifier, self).__init__() - self.model = resnet18(num_classes=10) - self.model.conv1 = torch.nn.Conv2d( - 1, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False - ) - self.criterion = torch.nn.CrossEntropyLoss() - - def forward(self, x): - return self.model(x) - - def training_step(self, batch, batch_idx): - x, y = batch - outputs = self.forward(x) - loss = self.criterion(outputs, y) - self.log("loss", loss, on_step=True, prog_bar=True) - return loss - - def configure_optimizers(self): - return torch.optim.Adam(self.model.parameters(), lr=0.001) - - # Data - transform = Compose([ToTensor(), Normalize((0.28604,), (0.32025,))]) - train_data = FashionMNIST(root='./data', train=True, download=True, transform=transform) - train_dataloader = DataLoader(train_data, batch_size=128, shuffle=True) - - # Training - model = ImageClassifier() - trainer = pl.Trainer(max_epochs=10) - trainer.fit(model, train_dataloaders=train_dataloader) - - .. tab-item:: PyTorch Lightning + Ray Train .. code-block:: python @@ -175,6 +127,53 @@ Compare a PyTorch Lightning training script with and without Ray Train. ), ) + .. tab-item:: PyTorch Lightning + + .. This snippet isn't tested because it doesn't use any Ray code. + + .. testcode:: + :skipif: True + + import torch + from torchvision.models import resnet18 + from torchvision.datasets import FashionMNIST + from torchvision.transforms import ToTensor, Normalize, Compose + from torch.utils.data import DataLoader + import lightning.pytorch as pl + + # Model, Loss, Optimizer + class ImageClassifier(pl.LightningModule): + def __init__(self): + super(ImageClassifier, self).__init__() + self.model = resnet18(num_classes=10) + self.model.conv1 = torch.nn.Conv2d( + 1, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False + ) + self.criterion = torch.nn.CrossEntropyLoss() + + def forward(self, x): + return self.model(x) + + def training_step(self, batch, batch_idx): + x, y = batch + outputs = self.forward(x) + loss = self.criterion(outputs, y) + self.log("loss", loss, on_step=True, prog_bar=True) + return loss + + def configure_optimizers(self): + return torch.optim.Adam(self.model.parameters(), lr=0.001) + + # Data + transform = Compose([ToTensor(), Normalize((0.28604,), (0.32025,))]) + train_data = FashionMNIST(root='./data', train=True, download=True, transform=transform) + train_dataloader = DataLoader(train_data, batch_size=128, shuffle=True) + + # Training + model = ImageClassifier() + trainer = pl.Trainer(max_epochs=10) + trainer.fit(model, train_dataloaders=train_dataloader) + Set up a training function -------------------------- diff --git a/doc/source/train/getting-started-pytorch.rst b/doc/source/train/getting-started-pytorch.rst index 8a225d34f9d0..6d28c5df3309 100644 --- a/doc/source/train/getting-started-pytorch.rst +++ b/doc/source/train/getting-started-pytorch.rst @@ -40,60 +40,10 @@ Compare a PyTorch training script with and without Ray Train. .. tab-set:: - .. tab-item:: PyTorch - - .. This snippet isn't tested because it doesn't use any Ray code. - - .. testcode:: - :skipif: True - - import os - import tempfile - - import torch - from torch.nn import CrossEntropyLoss - from torch.optim import Adam - from torch.utils.data import DataLoader - from torchvision.models import resnet18 - from torchvision.datasets import FashionMNIST - from torchvision.transforms import ToTensor, Normalize, Compose - - # Model, Loss, Optimizer - model = resnet18(num_classes=10) - model.conv1 = torch.nn.Conv2d( - 1, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False - ) - model.to("cuda") - criterion = CrossEntropyLoss() - optimizer = Adam(model.parameters(), lr=0.001) - - # Data - transform = Compose([ToTensor(), Normalize((0.28604,), (0.32025,))]) - train_data = FashionMNIST(root='./data', train=True, download=True, transform=transform) - train_loader = DataLoader(train_data, batch_size=128, shuffle=True) - - # Training - for epoch in range(10): - for images, labels in train_loader: - images, labels = images.to("cuda"), labels.to("cuda") - outputs = model(images) - loss = criterion(outputs, labels) - optimizer.zero_grad() - loss.backward() - optimizer.step() - - metrics = {"loss": loss.item(), "epoch": epoch} - checkpoint_dir = tempfile.mkdtemp() - checkpoint_path = os.path.join(checkpoint_dir, "model.pt") - torch.save(model.state_dict(), checkpoint_path) - print(metrics) - - - .. tab-item:: PyTorch + Ray Train .. code-block:: python - :emphasize-lines: 12, 14, 21, 55-58, 59, 63, 66-68, 72-73, 76 + :emphasize-lines: 12, 14, 21, 32, 36-37, 55-58, 59, 63, 66-73 import os import tempfile @@ -179,6 +129,54 @@ Compare a PyTorch training script with and without Ray Train. ) model.load_state_dict(model_state_dict) + .. tab-item:: PyTorch + + .. This snippet isn't tested because it doesn't use any Ray code. + + .. testcode:: + :skipif: True + + import os + import tempfile + + import torch + from torch.nn import CrossEntropyLoss + from torch.optim import Adam + from torch.utils.data import DataLoader + from torchvision.models import resnet18 + from torchvision.datasets import FashionMNIST + from torchvision.transforms import ToTensor, Normalize, Compose + + # Model, Loss, Optimizer + model = resnet18(num_classes=10) + model.conv1 = torch.nn.Conv2d( + 1, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False + ) + model.to("cuda") + criterion = CrossEntropyLoss() + optimizer = Adam(model.parameters(), lr=0.001) + + # Data + transform = Compose([ToTensor(), Normalize((0.28604,), (0.32025,))]) + train_data = FashionMNIST(root='./data', train=True, download=True, transform=transform) + train_loader = DataLoader(train_data, batch_size=128, shuffle=True) + + # Training + for epoch in range(10): + for images, labels in train_loader: + images, labels = images.to("cuda"), labels.to("cuda") + outputs = model(images) + loss = criterion(outputs, labels) + optimizer.zero_grad() + loss.backward() + optimizer.step() + + metrics = {"loss": loss.item(), "epoch": epoch} + checkpoint_dir = tempfile.mkdtemp() + checkpoint_path = os.path.join(checkpoint_dir, "model.pt") + torch.save(model.state_dict(), checkpoint_path) + print(metrics) + Set up a training function -------------------------- diff --git a/doc/source/train/getting-started-transformers.rst b/doc/source/train/getting-started-transformers.rst index c07215e58ef8..a7beae254d13 100644 --- a/doc/source/train/getting-started-transformers.rst +++ b/doc/source/train/getting-started-transformers.rst @@ -54,66 +54,6 @@ Compare a standard Hugging Face Transformers script with its Ray Train equivalen .. tab-set:: - .. tab-item:: Hugging Face Transformers - - .. This snippet isn't tested because it doesn't use any Ray code. - - .. testcode:: - :skipif: True - - # Adapted from Hugging Face tutorial: https://huggingface.co/docs/transformers/training - - import numpy as np - import evaluate - from datasets import load_dataset - from transformers import ( - Trainer, - TrainingArguments, - AutoTokenizer, - AutoModelForSequenceClassification, - ) - - # Datasets - dataset = load_dataset("yelp_review_full") - tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") - - def tokenize_function(examples): - return tokenizer(examples["text"], padding="max_length", truncation=True) - - small_train_dataset = dataset["train"].select(range(100)).map(tokenize_function, batched=True) - small_eval_dataset = dataset["test"].select(range(100)).map(tokenize_function, batched=True) - - # Model - model = AutoModelForSequenceClassification.from_pretrained( - "bert-base-cased", num_labels=5 - ) - - # Metrics - metric = evaluate.load("accuracy") - - def compute_metrics(eval_pred): - logits, labels = eval_pred - predictions = np.argmax(logits, axis=-1) - return metric.compute(predictions=predictions, references=labels) - - # Hugging Face Trainer - training_args = TrainingArguments( - output_dir="test_trainer", evaluation_strategy="epoch", report_to="none" - ) - - trainer = Trainer( - model=model, - args=training_args, - train_dataset=small_train_dataset, - eval_dataset=small_eval_dataset, - compute_metrics=compute_metrics, - ) - - # Start Training - trainer.train() - - - .. tab-item:: Hugging Face Transformers + Ray Train .. code-block:: python @@ -216,6 +156,65 @@ Compare a standard Hugging Face Transformers script with its Ray Train equivalen model = AutoModelForSequenceClassification.from_pretrained(checkpoint_path) + .. tab-item:: Hugging Face Transformers + + .. This snippet isn't tested because it doesn't use any Ray code. + + .. testcode:: + :skipif: True + + # Adapted from Hugging Face tutorial: https://huggingface.co/docs/transformers/training + + import numpy as np + import evaluate + from datasets import load_dataset + from transformers import ( + Trainer, + TrainingArguments, + AutoTokenizer, + AutoModelForSequenceClassification, + ) + + # Datasets + dataset = load_dataset("yelp_review_full") + tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + + def tokenize_function(examples): + return tokenizer(examples["text"], padding="max_length", truncation=True) + + small_train_dataset = dataset["train"].select(range(100)).map(tokenize_function, batched=True) + small_eval_dataset = dataset["test"].select(range(100)).map(tokenize_function, batched=True) + + # Model + model = AutoModelForSequenceClassification.from_pretrained( + "bert-base-cased", num_labels=5 + ) + + # Metrics + metric = evaluate.load("accuracy") + + def compute_metrics(eval_pred): + logits, labels = eval_pred + predictions = np.argmax(logits, axis=-1) + return metric.compute(predictions=predictions, references=labels) + + # Hugging Face Trainer + training_args = TrainingArguments( + output_dir="test_trainer", evaluation_strategy="epoch", report_to="none" + ) + + trainer = Trainer( + model=model, + args=training_args, + train_dataset=small_train_dataset, + eval_dataset=small_eval_dataset, + compute_metrics=compute_metrics, + ) + + # Start Training + trainer.train() + + Set up a training function -------------------------- diff --git a/doc/source/train/getting-started-xgboost.rst b/doc/source/train/getting-started-xgboost.rst index f4568f221ba6..983dc5138648 100644 --- a/doc/source/train/getting-started-xgboost.rst +++ b/doc/source/train/getting-started-xgboost.rst @@ -41,6 +41,7 @@ Compare a XGBoost training script with and without Ray Train. .. tab-item:: XGBoost + Ray Train .. literalinclude:: ./doc_code/xgboost_quickstart.py + :emphasize-lines: 3-4, 7-8, 11, 15-16, 19-20, 48, 53, 56-64 :language: python :start-after: __xgboost_ray_start__ :end-before: __xgboost_ray_end__ @@ -53,7 +54,6 @@ Compare a XGBoost training script with and without Ray Train. :end-before: __xgboost_end__ - Set up a training function -------------------------- diff --git a/doc/source/train/user-guides/data-loading-preprocessing.rst b/doc/source/train/user-guides/data-loading-preprocessing.rst index e82ea87c9bb8..5db4669578ad 100644 --- a/doc/source/train/user-guides/data-loading-preprocessing.rst +++ b/doc/source/train/user-guides/data-loading-preprocessing.rst @@ -45,7 +45,7 @@ Data ingestion can be set up with four basic steps: .. tab-item:: PyTorch .. code-block:: python - :emphasize-lines: 14,21,29,31-33,53 + :emphasize-lines: 14,21,29,33-35,53 import torch import ray @@ -149,7 +149,7 @@ Data ingestion can be set up with four basic steps: .. tab-item:: HuggingFace Transformers .. code-block:: python - :emphasize-lines: 7-8,13-14,17-18,30-31,41 + :emphasize-lines: 7-8,13-14,17-18,24,30-31,41 import ray import ray.train diff --git a/doc/source/train/user-guides/experiment-tracking.rst b/doc/source/train/user-guides/experiment-tracking.rst index 5feb082a43e9..e80d67bb79c5 100644 --- a/doc/source/train/user-guides/experiment-tracking.rst +++ b/doc/source/train/user-guides/experiment-tracking.rst @@ -304,14 +304,14 @@ PyTorch .. dropdown:: Log to W&B .. literalinclude:: ../../../../python/ray/train/examples/experiment_tracking//torch_exp_tracking_wandb.py - :emphasize-lines: 15, 16, 17, 21, 22, 51, 52, 54, 55 + :emphasize-lines: 16, 19-21, 59-60, 62-63 :language: python :start-after: __start__ .. dropdown:: Log to file-based MLflow .. literalinclude:: ../../../../python/ray/train/examples/experiment_tracking/torch_exp_tracking_mlflow.py - :emphasize-lines: 22, 23, 24, 25, 54, 55, 57, 58, 64 + :emphasize-lines: 22-25, 58-59, 61-62, 68 :language: python :start-after: __start__ :end-before: __end__ From 578031db22fd5118b2c2440753fbe1d29c9581ed Mon Sep 17 00:00:00 2001 From: Mengqing Cao Date: Tue, 12 Aug 2025 01:59:59 +0800 Subject: [PATCH 0607/1566] [Build][Bugfix] Fix protobuf version (#54910) This pr fixes the `AttributeError: 'str' object has no attribute 'DESCRIPTOR'` when packaging message to dict using `protobuf` Closes #54849 Signed-off-by: MengqingCao Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/requirements.txt | 2 +- python/setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/requirements.txt b/python/requirements.txt index 709e744bb0da..eb70dadc5f4e 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -13,7 +13,7 @@ filelock jsonschema msgpack<2.0.0,>=1.0.0 packaging -protobuf!=3.19.5,>=3.15.3 +protobuf>=3.20.3 pyyaml requests watchfiles diff --git a/python/setup.py b/python/setup.py index 7044291c4edd..71bd4a54a810 100644 --- a/python/setup.py +++ b/python/setup.py @@ -383,7 +383,7 @@ def get_packages(self): "jsonschema", "msgpack >= 1.0.0, < 2.0.0", "packaging", - "protobuf >= 3.15.3, != 3.19.5", + "protobuf>=3.20.3", "pyyaml", "requests", ] From d63b21d50bdf197ca5c08197af9da551c0dfdaa2 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 11 Aug 2025 11:00:25 -0700 Subject: [PATCH 0608/1566] [ci] moving workspace tests to test_workspace file (#55403) descendant of https://github.com/ray-project/ray/pull/55404 - refactoring unit tests - moving workspace tests into test_workspace - Updating bazel build file --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 37 ++++++++++----- ci/raydepsets/{ => tests}/test_cli.py | 28 ++---------- .../requirement_constraints_test.txt | 0 .../test_data/requirements_compiled_test.txt | 0 .../requirements_compiled_test_expand.txt | 0 .../requirements_compiled_test_update.txt | 0 .../test_data/requirements_test.txt | 0 .../{ => tests}/test_data/test.depsets.yaml | 0 ci/raydepsets/tests/test_workspace.py | 35 +++++++++++++++ ci/raydepsets/tests/utils.py | 45 +++++++++++++++++++ 10 files changed, 110 insertions(+), 35 deletions(-) rename ci/raydepsets/{ => tests}/test_cli.py (93%) rename ci/raydepsets/{ => tests}/test_data/requirement_constraints_test.txt (100%) rename ci/raydepsets/{ => tests}/test_data/requirements_compiled_test.txt (100%) rename ci/raydepsets/{ => tests}/test_data/requirements_compiled_test_expand.txt (100%) rename ci/raydepsets/{ => tests}/test_data/requirements_compiled_test_update.txt (100%) rename ci/raydepsets/{ => tests}/test_data/requirements_test.txt (100%) rename ci/raydepsets/{ => tests}/test_data/test.depsets.yaml (100%) create mode 100644 ci/raydepsets/tests/test_workspace.py create mode 100644 ci/raydepsets/tests/utils.py diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index d69d976b5d1f..eb4d56c06a20 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -33,14 +33,14 @@ py_binary( py_test( name = "test_cli", - srcs = ["test_cli.py"], + srcs = ["tests/test_cli.py"], data = [ - "test_data/requirement_constraints_test.txt", - "test_data/requirements_compiled_test.txt", - "test_data/requirements_compiled_test_expand.txt", - "test_data/requirements_compiled_test_update.txt", - "test_data/requirements_test.txt", - "test_data/test.depsets.yaml", + "tests/test_data/requirement_constraints_test.txt", + "tests/test_data/requirements_compiled_test.txt", + "tests/test_data/requirements_compiled_test_expand.txt", + "tests/test_data/requirements_compiled_test_update.txt", + "tests/test_data/requirements_test.txt", + "tests/test_data/test.depsets.yaml", ], exec_compatible_with = ["//:hermetic_python"], tags = [ @@ -50,15 +50,32 @@ py_test( deps = [ ci_require("pytest"), ":raydepsets_lib", - ":testing_utils", + ":utils", ], ) py_library( - name = "testing_utils", + name = "utils", testonly = True, - srcs = ["testing_utils.py"], + srcs = ["tests/utils.py"], deps = [ ci_require("bazel-runfiles"), ], ) + +py_test( + name = "test_workspace", + srcs = ["tests/test_workspace.py"], + data = [ + "tests/test_data/test.depsets.yaml", + ], + tags = [ + "ci_unit", + "team:ci", + ], + deps = [ + ci_require("pytest"), + ":utils", + ":workspace", + ], +) diff --git a/ci/raydepsets/test_cli.py b/ci/raydepsets/tests/test_cli.py similarity index 93% rename from ci/raydepsets/test_cli.py rename to ci/raydepsets/tests/test_cli.py index 1db2887d31fe..2aac8e132af3 100644 --- a/ci/raydepsets/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -21,14 +21,13 @@ _uv_binary, load, ) -from ci.raydepsets.testing_utils import ( +from ci.raydepsets.tests.utils import ( append_to_file, copy_data_to_tmpdir, replace_in_file, save_file_as, save_packages_to_file, ) -from ci.raydepsets.workspace import Workspace _REPO_NAME = "com_github_ray_project_ray" _runfiles = runfiles.Create() @@ -48,11 +47,6 @@ def _create_test_manager( class TestCli(unittest.TestCase): - def test_workspace_init(self): - with tempfile.TemporaryDirectory() as tmpdir: - workspace = Workspace(tmpdir) - assert workspace.dir is not None - def test_cli_load_fail_no_config(self): result = CliRunner().invoke( load, @@ -103,12 +97,12 @@ def test_uv_version(self): def test_compile(self): compiled_file = Path( _runfiles.Rlocation( - f"{_REPO_NAME}/ci/raydepsets/test_data/requirements_compiled_test.txt" + f"{_REPO_NAME}/ci/raydepsets/tests/test_data/requirements_compiled_test.txt" ) ) output_file = Path( _runfiles.Rlocation( - f"{_REPO_NAME}/ci/raydepsets/test_data/requirements_compiled.txt" + f"{_REPO_NAME}/ci/raydepsets/tests/test_data/requirements_compiled.txt" ) ) shutil.copy(compiled_file, output_file) @@ -458,22 +452,6 @@ def test_expand_with_requirements(self): output_text_valid = output_file_valid.read_text() assert output_text == output_text_valid - def test_parse_build_arg_sets(self): - with tempfile.TemporaryDirectory() as tmpdir: - copy_data_to_tmpdir(tmpdir) - workspace = Workspace(dir=tmpdir) - config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") - assert config.build_arg_sets[0].name == "py311_cpu" - assert config.build_arg_sets[0].build_args == { - "CUDA_VERSION": "cpu", - "PYTHON_VERSION": "py311", - } - assert config.build_arg_sets[1].name == "py311_cuda128" - assert config.build_arg_sets[1].build_args == { - "CUDA_VERSION": 128, - "PYTHON_VERSION": "py311", - } - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/test_data/requirement_constraints_test.txt b/ci/raydepsets/tests/test_data/requirement_constraints_test.txt similarity index 100% rename from ci/raydepsets/test_data/requirement_constraints_test.txt rename to ci/raydepsets/tests/test_data/requirement_constraints_test.txt diff --git a/ci/raydepsets/test_data/requirements_compiled_test.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test.txt similarity index 100% rename from ci/raydepsets/test_data/requirements_compiled_test.txt rename to ci/raydepsets/tests/test_data/requirements_compiled_test.txt diff --git a/ci/raydepsets/test_data/requirements_compiled_test_expand.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt similarity index 100% rename from ci/raydepsets/test_data/requirements_compiled_test_expand.txt rename to ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt diff --git a/ci/raydepsets/test_data/requirements_compiled_test_update.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt similarity index 100% rename from ci/raydepsets/test_data/requirements_compiled_test_update.txt rename to ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt diff --git a/ci/raydepsets/test_data/requirements_test.txt b/ci/raydepsets/tests/test_data/requirements_test.txt similarity index 100% rename from ci/raydepsets/test_data/requirements_test.txt rename to ci/raydepsets/tests/test_data/requirements_test.txt diff --git a/ci/raydepsets/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml similarity index 100% rename from ci/raydepsets/test_data/test.depsets.yaml rename to ci/raydepsets/tests/test_data/test.depsets.yaml diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py new file mode 100644 index 000000000000..cc3ded45abef --- /dev/null +++ b/ci/raydepsets/tests/test_workspace.py @@ -0,0 +1,35 @@ +import sys +import tempfile +from pathlib import Path + +import pytest + +from ci.raydepsets.tests.utils import copy_data_to_tmpdir +from ci.raydepsets.workspace import Workspace + + +def test_workspace_init(): + with tempfile.TemporaryDirectory() as tmpdir: + workspace = Workspace(tmpdir) + assert workspace.dir is not None + + +def test_parse_build_arg_sets(): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + workspace = Workspace(dir=tmpdir) + config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") + assert config.build_arg_sets[0].name == "py311_cpu" + assert config.build_arg_sets[0].build_args == { + "CUDA_VERSION": "cpu", + "PYTHON_VERSION": "py311", + } + assert config.build_arg_sets[1].name == "py311_cuda128" + assert config.build_arg_sets[1].build_args == { + "CUDA_VERSION": 128, + "PYTHON_VERSION": "py311", + } + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/tests/utils.py b/ci/raydepsets/tests/utils.py new file mode 100644 index 000000000000..8dae5634a524 --- /dev/null +++ b/ci/raydepsets/tests/utils.py @@ -0,0 +1,45 @@ +"""Shared test utilities for raydepsets tests.""" + +import shutil + +import runfiles + +_REPO_NAME = "com_github_ray_project_ray" +_runfiles = runfiles.Create() + + +def copy_data_to_tmpdir(tmpdir): + """Copy test data to a temporary directory.""" + shutil.copytree( + _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/tests/test_data"), + tmpdir, + dirs_exist_ok=True, + ) + + +def replace_in_file(filepath, old, new): + with open(filepath, "r") as f: + contents = f.read() + + contents = contents.replace(old, new) + + with open(filepath, "w") as f: + f.write(contents) + + +def save_packages_to_file(filepath, packages): + with open(filepath, "w") as f: + for package in packages: + f.write(package + "\n") + + +def save_file_as(input_file, output_file): + with open(input_file, "rb") as f: + contents = f.read() + with open(output_file, "wb") as f: + f.write(contents) + + +def append_to_file(filepath, new): + with open(filepath, "a") as f: + f.write(new + "\n") From d10cffdd05c3575ab9eebb723f27bea0b68a08a3 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Mon, 11 Aug 2025 23:32:38 +0530 Subject: [PATCH 0609/1566] [core] Fallback unserializable exceptions to their string representation (#55476) Falls back to printing the user exception's string representation instead of simply throwing a generic (non debugable) ray internal exception when the user's exception is not serializable. eg for: ```python import openai import ray from openai import AuthenticationError def call_openai_and_error_out(): client = openai.OpenAI( base_url="https://api.endpoints.anyscale.com/v1", api_key="test", ) try: client.chat.completions.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a chatbot."}, {"role": "user", "content": "What is the capital of France?"}, ], ) except AuthenticationError as e: print("Errored as expected given API key is invalid.") raise e remote_fn = ray.remote(call_openai_and_error_out) ray.get(remote_fn.remote()) ``` we previously threw ``` 2025-08-02 14:19:36,726 ERROR serialization.py:462 -- Failed to unpickle serialized exception Traceback (most recent call last): File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 51, in from_ray_exception return pickle.loads(ray_exception.serialized_exception) TypeError: APIStatusError.__init__() missing 2 required keyword-only arguments: 'response' and 'body' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/serialization.py", line 460, in deserialize_objects obj = self._deserialize_object(data, metadata, object_ref) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/serialization.py", line 342, in _deserialize_object return RayError.from_bytes(obj) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 45, in from_bytes return RayError.from_ray_exception(ray_exception) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 54, in from_ray_exception raise RuntimeError(msg) from e RuntimeError: Failed to unpickle serialized exception Traceback (most recent call last): File "/Users/rliaw/dev/proteins/_test.py", line 31, in ray.get(remote_fn.remote()) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/auto_init_hook.py", line 21, in auto_init_wrapper return fn(*args, **kwargs) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/client_mode_hook.py", line 103, in wrapper return func(*args, **kwargs) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/worker.py", line 2782, in get values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/worker.py", line 931, in get_objects raise value ray.exceptions.RaySystemError: System error: Failed to unpickle serialized exception traceback: Traceback (most recent call last): File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 51, in from_ray_exception return pickle.loads(ray_exception.serialized_exception) TypeError: APIStatusError.__init__() missing 2 required keyword-only arguments: 'response' and 'body' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/serialization.py", line 460, in deserialize_objects obj = self._deserialize_object(data, metadata, object_ref) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/_private/serialization.py", line 342, in _deserialize_object return RayError.from_bytes(obj) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 45, in from_bytes return RayError.from_ray_exception(ray_exception) File "/Users/rliaw/miniconda3/lib/python3.10/site-packages/ray/exceptions.py", line 54, in from_ray_exception raise RuntimeError(msg) from e RuntimeError: Failed to unpickle serialized exception ``` but with this change we instead throw: ``` ERROR serialization.py:539 -- Failed to unpickle serialized exception Original exception (string repr): ray.exceptions.RayTaskError: ray::call_openai_and_error_out() (pid=2177610, ip=172.31.5.49) exc_info=True) File "/home/ubuntu/clone/ray/test.py", line 12, in call_openai_and_error_out client.chat.completions.create( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_utils/_utils.py", line 287, in wrapper return func(*args, **kwargs) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/resources/chat/completions/completions.py", line 925, in create return self._post( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1249, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1037, in request raise self._make_status_error_from_response(err.response) from None openai.NotFoundError:

    Thank you for using Anyscale's Public Endpoints API.

    Effective August 1, 2024 Anyscale Endpoints API is available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models has been removed.

    With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.

    Traceback (most recent call last): File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 50, in from_ray_exception return pickle.loads(ray_exception.serialized_exception) TypeError: __init__() missing 2 required keyword-only arguments: 'response' and 'body' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ubuntu/clone/ray/python/ray/_private/serialization.py", line 532, in deserialize_objects obj = self._deserialize_object( File "/home/ubuntu/clone/ray/python/ray/_private/serialization.py", line 396, in _deserialize_object return RayError.from_bytes(obj) File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 44, in from_bytes return RayError.from_ray_exception(ray_exception) File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 60, in from_ray_exception raise RuntimeError(msg) from e RuntimeError: Failed to unpickle serialized exception Original exception (string repr): ray.exceptions.RayTaskError: ray::call_openai_and_error_out() (pid=2177610, ip=172.31.5.49) exc_info=True) File "/home/ubuntu/clone/ray/test.py", line 12, in call_openai_and_error_out client.chat.completions.create( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_utils/_utils.py", line 287, in wrapper return func(*args, **kwargs) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/resources/chat/completions/completions.py", line 925, in create return self._post( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1249, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1037, in request raise self._make_status_error_from_response(err.response) from None openai.NotFoundError:

    Thank you for using Anyscale's Public Endpoints API.

    Effective August 1, 2024 Anyscale Endpoints API is available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models has been removed.

    With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.

    Traceback (most recent call last): File "/home/ubuntu/clone/ray/test.py", line 24, in ray.get(remote_fn.remote()) File "/home/ubuntu/clone/ray/python/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper return fn(*args, **kwargs) File "/home/ubuntu/clone/ray/python/ray/_private/client_mode_hook.py", line 104, in wrapper return func(*args, **kwargs) File "/home/ubuntu/clone/ray/python/ray/_private/worker.py", line 2869, in get values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) File "/home/ubuntu/clone/ray/python/ray/_private/worker.py", line 970, in get_objects raise value ray.exceptions.RaySystemError: System error: Failed to unpickle serialized exception Original exception (string repr): ray.exceptions.RayTaskError: ray::call_openai_and_error_out() (pid=2177610, ip=172.31.5.49) exc_info=True) File "/home/ubuntu/clone/ray/test.py", line 12, in call_openai_and_error_out client.chat.completions.create( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_utils/_utils.py", line 287, in wrapper return func(*args, **kwargs) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/resources/chat/completions/completions.py", line 925, in create return self._post( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1249, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1037, in request raise self._make_status_error_from_response(err.response) from None openai.NotFoundError:

    Thank you for using Anyscale's Public Endpoints API.

    Effective August 1, 2024 Anyscale Endpoints API is available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models has been removed.

    With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.

    traceback: Traceback (most recent call last): File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 50, in from_ray_exception return pickle.loads(ray_exception.serialized_exception) TypeError: __init__() missing 2 required keyword-only arguments: 'response' and 'body' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ubuntu/clone/ray/python/ray/_private/serialization.py", line 532, in deserialize_objects obj = self._deserialize_object( File "/home/ubuntu/clone/ray/python/ray/_private/serialization.py", line 396, in _deserialize_object return RayError.from_bytes(obj) File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 44, in from_bytes return RayError.from_ray_exception(ray_exception) File "/home/ubuntu/clone/ray/python/ray/exceptions.py", line 60, in from_ray_exception raise RuntimeError(msg) from e RuntimeError: Failed to unpickle serialized exception Original exception (string repr): ray.exceptions.RayTaskError: ray::call_openai_and_error_out() (pid=2177610, ip=172.31.5.49) exc_info=True) File "/home/ubuntu/clone/ray/test.py", line 12, in call_openai_and_error_out client.chat.completions.create( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_utils/_utils.py", line 287, in wrapper return func(*args, **kwargs) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/resources/chat/completions/completions.py", line 925, in create return self._post( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1249, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1037, in request raise self._make_status_error_from_response(err.response) from None openai.NotFoundError:

    Thank you for using Anyscale's Public Endpoints API.

    Effective August 1, 2024 Anyscale Endpoints API is available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models has been removed.

    With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.

    ``` ## Related issue number https://github.com/ray-project/ray/issues/55171 https://github.com/ray-project/ray/issues/43428 https://github.com/ray-project/ray/issues/50138 https://github.com/ray-project/ray/issues/49885 https://github.com/ray-project/ray/issues/49970 https://github.com/ray-project/ray/issues/54341 --------- Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- python/ray/exceptions.py | 10 ++++++++++ python/ray/tests/test_traceback.py | 20 ++++++++++++++++++-- 2 files changed, 28 insertions(+), 2 deletions(-) diff --git a/python/ray/exceptions.py b/python/ray/exceptions.py index a91b010ff93b..451deb295955 100644 --- a/python/ray/exceptions.py +++ b/python/ray/exceptions.py @@ -50,6 +50,16 @@ def from_ray_exception(ray_exception): return pickle.loads(ray_exception.serialized_exception) except Exception as e: msg = "Failed to unpickle serialized exception" + # Include a fallback string/stacktrace to aid debugging. + # formatted_exception_string is set in to_bytes() above by calling + # traceback.format_exception() on the original exception. It contains + # the string representation and stack trace of the original error. + formatted = getattr( + ray_exception, + "formatted_exception_string", + "No formatted exception string available.", + ) + msg += f"\nOriginal exception (string repr):\n{formatted}" raise RuntimeError(msg) from e else: return CrossLanguageError(ray_exception) diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index 93cb47b3d158..bb1f37755714 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -295,6 +295,14 @@ def __repr__(self): def test_unpickleable_stacktrace(shutdown_only): expected_output = """System error: Failed to unpickle serialized exception +Original exception (string repr): +ray.exceptions.RayTaskError: ray::f() (pid=XXX, ip=YYY) + File "FILE", line ZZ, in f + return g(c) + File "FILE", line ZZ, in g + raise NoPickleError("FILE") +test_traceback.NoPickleError + traceback: Traceback (most recent call last): File "FILE", line ZZ, in from_ray_exception return pickle.loads(ray_exception.serialized_exception) @@ -311,7 +319,14 @@ def test_unpickleable_stacktrace(shutdown_only): return RayError.from_ray_exception(ray_exception) File "FILE", line ZZ, in from_ray_exception raise RuntimeError(msg) from e -RuntimeError: Failed to unpickle serialized exception""" +RuntimeError: Failed to unpickle serialized exception +Original exception (string repr): +ray.exceptions.RayTaskError: ray::f() (pid=XXX, ip=YYY) + File "FILE", line ZZ, in f + return g(c) + File "FILE", line ZZ, in g + raise NoPickleError("FILE") +test_traceback.NoPickleError""" class NoPickleError(OSError): def __init__(self, arg): @@ -331,9 +346,10 @@ def f(): ray.get(f.remote()) except Exception as ex: python310_extra_exc_msg = "test_unpickleable_stacktrace..NoPickleError." - assert clean_noqa(expected_output) == scrub_traceback(str(ex)).replace( + cleaned = scrub_traceback(str(ex)).replace( f"TypeError: {python310_extra_exc_msg}", "TypeError: " ) + assert clean_noqa(expected_output) == cleaned def test_serialization_error_message(shutdown_only): From 5d5f9205b36b487ec3b3a45e7a48794dcff2872e Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Mon, 11 Aug 2025 12:18:26 -0700 Subject: [PATCH 0610/1566] [data] external buffer num blocks metrics (#55022) ## Why are these changes needed? external1 external2 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 28 +++++++++++++++++++ .../interfaces/op_runtime_metrics.py | 10 +++++++ .../execution/streaming_executor_state.py | 2 ++ python/ray/data/tests/test_stats.py | 10 +++++++ 4 files changed, 50 insertions(+) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 47c52d65c57d..8bedac2db259 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -615,6 +615,34 @@ fill=0, stack=True, ), + Panel( + id=2, + title="Operator External OutQueue Size (Blocks)", + description="Number of blocks in operator's external output queue", + unit="blocks", + targets=[ + Target( + expr="sum(ray_data_num_output_queue_blocks{{{global_filters}}}) by (dataset, operator)", + legend="Number of Blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), + Panel( + id=27, + title="Operator External OutQueue Size (bytes)", + description="Byte size of blocks in operator's external output queue", + unit="bytes", + targets=[ + Target( + expr="sum(ray_data_num_output_queue_bytes{{{global_filters}}}) by (dataset, operator)", + legend="Number of Bytes: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, + ), Panel( id=34, title="Size of Blocks used in Pending Tasks (Bytes)", diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index e9c048fd8e84..b3b6bfb3445f 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -323,6 +323,16 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): description=("Number of rows generated by finished tasks."), metrics_group=MetricsGroup.OUTPUTS, ) + num_output_queue_blocks: int = metric_field( + default=0, + description="Number of blocks in the output queue", + metrics_group=MetricsGroup.OUTPUTS, + ) + num_output_queue_bytes: int = metric_field( + default=0, + description="Byte size of blocks in the output queue", + metrics_group=MetricsGroup.OUTPUTS, + ) # === Tasks-related metrics === num_tasks_submitted: int = metric_field( diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 6475b0b72631..717ad190cc5a 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -303,6 +303,8 @@ def add_output(self, ref: RefBundle) -> None: self.op.metrics.num_alive_actors = actor_info.running self.op.metrics.num_restarting_actors = actor_info.restarting self.op.metrics.num_pending_actors = actor_info.pending + self.op.metrics.num_output_queue_blocks = self.output_queue.num_blocks + self.op.metrics.num_output_queue_bytes = self.output_queue.memory_usage def refresh_progress_bar(self, resource_manager: ResourceManager) -> None: """Update the console with the latest operator progress.""" diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 23953efe059b..25deb5b1c0a5 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -99,6 +99,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': N", "'bytes_outputs_of_finished_tasks': N", "'rows_outputs_of_finished_tasks': N", + "'num_output_queue_blocks': N", + "'num_output_queue_bytes': N", "'num_tasks_submitted': N", "'num_tasks_running': Z", "'num_tasks_have_outputs': N", @@ -154,6 +156,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': Z", "'bytes_outputs_of_finished_tasks': Z", "'rows_outputs_of_finished_tasks': Z", + "'num_output_queue_blocks': N", + "'num_output_queue_bytes': N", "'num_tasks_submitted': Z", "'num_tasks_running': Z", "'num_tasks_have_outputs': Z", @@ -663,6 +667,8 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" + " num_output_queue_blocks: N,\n" + " num_output_queue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -790,6 +796,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" + " num_output_queue_blocks: N,\n" + " num_output_queue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -872,6 +880,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" + " num_output_queue_blocks: N,\n" + " num_output_queue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" From 9b23e8c74dd26ae6b8addf6a835e4b6feb279e1a Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 11 Aug 2025 14:19:24 -0500 Subject: [PATCH 0611/1566] [core] Use passed report interval in Raylet instead of `RayConfig` (#55481) We were [passing the interval into the constructor](https://github.com/ray-project/ray/blob/1895aa1c4329f18a803e9a4386d50e8b1a4f1f1e/src/ray/raylet/node_manager.cc#L149) but then still pulling the value from `RayConfig`. Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/node_manager.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 0d726f782f79..a9ad42a4bf27 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -251,7 +251,7 @@ void NodeManager::RegisterGcs() { /* reporter */ &cluster_resource_scheduler_.GetLocalResourceManager(), /* receiver */ this, /* pull_from_reporter_interval_ms */ - RayConfig::instance().raylet_report_resources_period_milliseconds()); + report_resources_period_ms_); // Register a commands channel. // It's only used for GC right now. From 5af88f2452c7b0d93e7bc65b15cf10091da52bbc Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Mon, 11 Aug 2025 13:10:40 -0700 Subject: [PATCH 0612/1566] [metrics][gcs] Make CPU metric on gcs more reliable (#55471) gcs cpu metric consistenly reports zero. This is because psutil.as_dict() seems to return zero very frequently. cpu_percent() takes an interval argument which mitigates this, but psutil provides no utility for providing this argument in the as_dict() call. This is a 'minimal effort' patch to mitigate this behavior, but it remains somewhat of a mystery for why the other processes are unaffected by this the same way gcs metrics are. Signed-off-by: zac Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/reporter/reporter_agent.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index a94f7d0a5b96..835a5b1be6a8 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -990,7 +990,9 @@ def _get_gcs(self): if self._gcs_pid: gcs_proc = psutil.Process(self._gcs_pid) if gcs_proc: - return gcs_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) + dictionary = gcs_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) + dictionary["cpu_percent"] = gcs_proc.cpu_percent(interval=1) + return dictionary return {} def _get_raylet(self): From 7796603a7ba7652d368e99014084cbf2d9a6c35a Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 11 Aug 2025 13:34:25 -0700 Subject: [PATCH 0613/1566] [data][train] Package `iter_batches` as a class (#55410) Lightweight refactor of `iter_batches` into a class. This will allow individual pipeline stages to store state on the `BatchIterator` instance and pass context to other stages. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../_internal/block_batching/iter_batches.py | 233 +++++++++++------- python/ray/data/iterator.py | 38 ++- .../tests/block_batching/test_iter_batches.py | 8 +- 3 files changed, 171 insertions(+), 108 deletions(-) diff --git a/python/ray/data/_internal/block_batching/iter_batches.py b/python/ray/data/_internal/block_batching/iter_batches.py index 824f17aecbcb..cfad92a7acd7 100644 --- a/python/ray/data/_internal/block_batching/iter_batches.py +++ b/python/ray/data/_internal/block_batching/iter_batches.py @@ -1,5 +1,5 @@ import collections -from contextlib import nullcontext +from contextlib import contextmanager, nullcontext from typing import Any, Callable, Dict, Iterator, Optional import ray @@ -9,42 +9,28 @@ WaitBlockPrefetcher, blocks_to_batches, collate, - extract_data_from_batch, finalize_batches, format_batches, resolve_block_refs, ) from ray.data._internal.execution.interfaces.ref_bundle import RefBundle from ray.data._internal.memory_tracing import trace_deallocation -from ray.data._internal.stats import DatasetStats +from ray.data._internal.stats import DatasetStats, StatsManager from ray.data._internal.util import make_async_gen from ray.data.block import Block, DataBatch from ray.data.context import DataContext from ray.types import ObjectRef -def iter_batches( - ref_bundles: Iterator[RefBundle], - *, - stats: Optional[DatasetStats] = None, - clear_block_after_read: bool = False, - batch_size: Optional[int] = None, - batch_format: Optional[str] = "default", - drop_last: bool = False, - collate_fn: Optional[Callable[[DataBatch], Any]] = None, - finalize_fn: Optional[Callable[[Any], Any]] = None, - shuffle_buffer_min_size: Optional[int] = None, - shuffle_seed: Optional[int] = None, - ensure_copy: bool = False, - prefetch_batches: int = 1, -) -> Iterator[DataBatch]: - """Create formatted batches of data from an iterator of block object references and - corresponding metadata. +class BatchIterator: + """Defines an iterator pipeline to convert a stream of block object references + into a stream of formatted batches ready to be consumed by the user. This takes a block iterator and creates batch_size batches, slicing, unioning, shuffling, prefetching, and formatting blocks as needed. - The algorithm uses both pipeline parallelism and data parallelism: + This involves both pipeline parallelism (e.g. prefetching) + and data parallelism (e.g. threadpool operations): If prefetch_batches=2, these are all the batches in flight: @@ -74,6 +60,7 @@ def iter_batches( Args: ref_bundles: An iterator over RefBundles. stats: DatasetStats object to record timing and other statistics. + dataset_tag: The tag of the dataset to record timing and other statistics. clear_block_after_read: Whether to clear the block from object store manually (i.e. without waiting for Python's automatic GC) after it is read. Doing so will reclaim memory faster and hence reduce the @@ -103,86 +90,166 @@ def iter_batches( the specified amount of formatted batches from blocks. This improves performance for non-CPU bound UDFs, allowing batch fetching compute and formatting to be overlapped with the UDF. Defaults to 1. - - Returns: - An iterator over record batches. """ - context = DataContext.get_current() - if ( - prefetch_batches > 0 - and context.actor_prefetcher_enabled - and not ray.util.client.ray.is_connected() + def __init__( + self, + ref_bundles: Iterator[RefBundle], + *, + stats: Optional[DatasetStats] = None, + dataset_tag: Optional[str] = None, + clear_block_after_read: bool = False, + batch_size: Optional[int] = None, + batch_format: Optional[str] = "default", + drop_last: bool = False, + collate_fn: Optional[Callable[[DataBatch], Any]] = None, + finalize_fn: Optional[Callable[[Any], Any]] = None, + shuffle_buffer_min_size: Optional[int] = None, + shuffle_seed: Optional[int] = None, + ensure_copy: bool = False, + prefetch_batches: int = 1, ): - prefetcher = ActorBlockPrefetcher() - else: - prefetcher = WaitBlockPrefetcher() + self._ref_bundles = ref_bundles + self._stats = stats + self._dataset_tag = dataset_tag + self._batch_size = batch_size + self._batch_format = batch_format + self._drop_last = drop_last + self._collate_fn = collate_fn + self._finalize_fn = finalize_fn + self._shuffle_buffer_min_size = shuffle_buffer_min_size + self._shuffle_seed = shuffle_seed + self._ensure_copy = ensure_copy + self._prefetch_batches = prefetch_batches + self._eager_free = ( + clear_block_after_read and DataContext.get_current().eager_free + ) - eager_free = clear_block_after_read and DataContext.get_current().eager_free + actor_prefetcher_enabled = ( + prefetch_batches > 0 + and DataContext.get_current().actor_prefetcher_enabled + and not ray.util.client.ray.is_connected() + ) + self._prefetcher = ( + ActorBlockPrefetcher() + if actor_prefetcher_enabled + else WaitBlockPrefetcher() + ) - def _async_iter_batches( - ref_bundles: Iterator[RefBundle], - ) -> Iterator[DataBatch]: - # Step 1: Prefetch logical batches locally. - block_iter = prefetch_batches_locally( + def _prefetch_blocks( + self, ref_bundles: Iterator[RefBundle] + ) -> Iterator[ObjectRef[Block]]: + return prefetch_batches_locally( ref_bundles=ref_bundles, - prefetcher=prefetcher, - num_batches_to_prefetch=prefetch_batches, - batch_size=batch_size, - eager_free=eager_free, + prefetcher=self._prefetcher, + num_batches_to_prefetch=self._prefetch_batches, + batch_size=self._batch_size, + eager_free=self._eager_free, + ) + + def _resolve_block_refs( + self, block_refs: Iterator[ObjectRef[Block]] + ) -> Iterator[Block]: + return resolve_block_refs(block_ref_iter=block_refs, stats=self._stats) + + def _blocks_to_batches(self, blocks: Iterator[Block]) -> Iterator[Batch]: + return blocks_to_batches( + block_iter=blocks, + stats=self._stats, + batch_size=self._batch_size, + drop_last=self._drop_last, + shuffle_buffer_min_size=self._shuffle_buffer_min_size, + shuffle_seed=self._shuffle_seed, + ensure_copy=self._ensure_copy, + ) + + def _format_batches(self, batches: Iterator[Batch]) -> Iterator[Batch]: + return _format_in_threadpool( + batch_iter=batches, + stats=self._stats, + batch_format=self._batch_format, + collate_fn=self._collate_fn, + num_threadpool_workers=self._prefetch_batches, + ) + + def _finalize_batches( + self, + batch_iter: Iterator[Batch], + ) -> Iterator[Batch]: + if self._finalize_fn is None: + return batch_iter + + return finalize_batches( + batch_iter, finalize_fn=self._finalize_fn, stats=self._stats ) + def _restore_original_batch_order( + self, batches: Iterator[Batch] + ) -> Iterator[Batch]: + return restore_original_order(batches) + + def _pipeline(self, ref_bundles: Iterator[RefBundle]) -> Iterator[Batch]: + # Step 1: Prefetch logical batches locally. + block_iter = self._prefetch_blocks(ref_bundles) + # Step 2: Resolve the blocks. - block_iter = resolve_block_refs(block_ref_iter=block_iter, stats=stats) + block_iter = self._resolve_block_refs(block_iter) # Step 3: Batch and shuffle the resolved blocks. - batch_iter = blocks_to_batches( - block_iter=block_iter, - stats=stats, - batch_size=batch_size, - drop_last=drop_last, - shuffle_buffer_min_size=shuffle_buffer_min_size, - shuffle_seed=shuffle_seed, - ensure_copy=ensure_copy, - ) + batch_iter = self._blocks_to_batches(block_iter) + + # Step 4: Format and collate the batches in a threadpool. + batch_iter = self._format_batches(batch_iter) + + # Step 5: Finalize the batches (e.g., move to GPU). + batch_iter = self._finalize_batches(batch_iter) + + # Step 6: Restore the original order of the batches, as the prior + # threadpool operations may have reordered the batches non-deterministically. + batch_iter = self._restore_original_batch_order(batch_iter) - # Step 4: Use a threadpool for formatting and collation. - batch_iter = _format_in_threadpool( - batch_iter, - stats=stats, - batch_format=batch_format, - collate_fn=collate_fn, - num_threadpool_workers=prefetch_batches, + yield from batch_iter + + def _iter_batches(self) -> Iterator[DataBatch]: + async_batch_iter = make_async_gen( + self._ref_bundles, + fn=self._pipeline, + num_workers=1, + preserve_ordering=False, ) - # Step 5: Finalize each batch. - if finalize_fn is not None: - batch_iter = finalize_batches( - batch_iter, finalize_fn=finalize_fn, stats=stats - ) + self.before_epoch_start() - # Step 6: Restore original order. - batch_iter: Iterator[Batch] = restore_original_order(batch_iter) + while True: + with self.get_next_batch_context(): + try: + batch = next(async_batch_iter) + except StopIteration: + break + with self.yield_batch_context(batch): + yield batch.data - yield from extract_data_from_batch(batch_iter) + self.after_epoch_end() - # Run everything in a separate thread to not block the main thread when waiting - # for streaming results. - async_batch_iter = make_async_gen( - ref_bundles, - fn=_async_iter_batches, - num_workers=1, - preserve_ordering=False, - ) + def __iter__(self) -> Iterator[DataBatch]: + return self._iter_batches() - while True: - with stats.iter_total_blocked_s.timer() if stats else nullcontext(): - try: - next_batch = next(async_batch_iter) - except StopIteration: - break - with stats.iter_user_s.timer() if stats else nullcontext(): - yield next_batch + def before_epoch_start(self): + pass + + def after_epoch_end(self): + StatsManager.clear_iteration_metrics(self._dataset_tag) + + @contextmanager + def get_next_batch_context(self): + with self._stats.iter_total_blocked_s.timer() if self._stats else nullcontext(): + yield + + @contextmanager + def yield_batch_context(self, batch: Batch): + with self._stats.iter_user_s.timer() if self._stats else nullcontext(): + yield + StatsManager.update_iteration_metrics(self._stats, self._dataset_tag) def _format_in_threadpool( diff --git a/python/ray/data/iterator.py b/python/ray/data/iterator.py index 8602baf10f0a..70144586a80b 100644 --- a/python/ray/data/iterator.py +++ b/python/ray/data/iterator.py @@ -17,7 +17,7 @@ import numpy as np -from ray.data._internal.block_batching.iter_batches import iter_batches +from ray.data._internal.block_batching.iter_batches import BatchIterator from ray.data._internal.execution.interfaces import RefBundle from ray.data._internal.logical.interfaces import LogicalPlan from ray.data._internal.logical.operators.input_data_operator import InputData @@ -184,31 +184,27 @@ def _create_iterator() -> Iterator[DataBatch]: blocks_owned_by_consumer, ) = self._to_ref_bundle_iterator() - iterator = iter( - iter_batches( - ref_bundles_iterator, - stats=stats, - clear_block_after_read=blocks_owned_by_consumer, - batch_size=batch_size, - batch_format=batch_format, - drop_last=drop_last, - collate_fn=_collate_fn, - finalize_fn=_finalize_fn, - shuffle_buffer_min_size=local_shuffle_buffer_size, - shuffle_seed=local_shuffle_seed, - prefetch_batches=prefetch_batches, - ) - ) - dataset_tag = self._get_dataset_tag() + batch_iterator = BatchIterator( + ref_bundles_iterator, + stats=stats, + dataset_tag=dataset_tag, + clear_block_after_read=blocks_owned_by_consumer, + batch_size=batch_size, + batch_format=batch_format, + drop_last=drop_last, + collate_fn=_collate_fn, + finalize_fn=_finalize_fn, + shuffle_buffer_min_size=local_shuffle_buffer_size, + shuffle_seed=local_shuffle_seed, + prefetch_batches=prefetch_batches, + ) + if stats: stats.iter_initialize_s.add(time.perf_counter() - time_start) - for batch in iterator: - yield batch - StatsManager.update_iteration_metrics(stats, dataset_tag) - StatsManager.clear_iteration_metrics(dataset_tag) + yield from batch_iterator if stats: stats.iter_total_s.add(time.perf_counter() - time_start) diff --git a/python/ray/data/tests/block_batching/test_iter_batches.py b/python/ray/data/tests/block_batching/test_iter_batches.py index ecbdd7e16173..36f4b8a5005c 100644 --- a/python/ray/data/tests/block_batching/test_iter_batches.py +++ b/python/ray/data/tests/block_batching/test_iter_batches.py @@ -10,7 +10,7 @@ import ray from ray.data._internal.block_batching.interfaces import Batch, BlockPrefetcher from ray.data._internal.block_batching.iter_batches import ( - iter_batches, + BatchIterator, prefetch_batches_locally, restore_original_order, ) @@ -123,7 +123,7 @@ def finalize_enforce_single_thread(batch): # Test that finalize_fn is called in a single thread, # even if prefetch_batches is set. - output_batches = iter_batches( + output_batches = BatchIterator( ref_bundles_iter, collate_fn=lambda batch: batch, finalize_fn=finalize_enforce_single_thread, @@ -156,7 +156,7 @@ def collate_fn(batch: pd.DataFrame): ref_bundles_iter = ref_bundle_generator(num_blocks=4, num_rows=2) - output_batches = iter_batches( + output_batches = BatchIterator( ref_bundles_iter, batch_size=batch_size, prefetch_batches=prefetch_batches, @@ -198,7 +198,7 @@ def collate_fn(batch): ref_bundles = ref_bundle_generator(num_blocks=20, num_rows=2) start_time = time.time() - output_batches = iter_batches( + output_batches = BatchIterator( ref_bundles, batch_size=None, collate_fn=collate_fn, From 5a75afa6bc20ac4d6ddb3f4939e7a539c113d7bf Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Mon, 11 Aug 2025 22:50:26 +0200 Subject: [PATCH 0614/1566] [RLlib] Upgrade RLlink protocol for external env/simulator training. (#53550) Signed-off-by: Douglas Strodtman --- doc/source/rllib/external-envs.rst | 2 +- doc/source/rllib/package_ref/env.rst | 7 +- doc/source/rllib/package_ref/env/external.rst | 22 + doc/source/rllib/package_ref/env/utils.rst | 1 - rllib/BUILD | 1 + rllib/env/external/__init__.py | 12 + ...nv_runner_server_for_external_inference.py | 368 +++++++++++ rllib/env/external/rllink.py | 109 ++++ rllib/env/policy_client.py | 90 +-- rllib/env/policy_server_input.py | 77 +-- rllib/env/tcp_client_inference_env_runner.py | 591 +----------------- rllib/env/utils/external_env_protocol.py | 53 +- rllib/env/utils/infinite_lookback_buffer.py | 2 + rllib/env/wrappers/unity3d_env.py | 67 +- .../classes/utils/dummy_external_client.py | 126 ++++ .../env_connecting_to_rllib_w_tcp_client.py | 43 +- .../envs/external_envs/cartpole_client.py | 133 ---- .../envs/external_envs/cartpole_server.py | 278 -------- .../dummy_client_with_two_episodes.py | 95 --- .../envs/external_envs/unity3d_client.py | 133 ---- .../external_envs/unity3d_dummy_client.py | 160 ----- .../envs/external_envs/unity3d_server.py | 178 ------ rllib/utils/checkpoints.py | 3 +- 23 files changed, 691 insertions(+), 1860 deletions(-) create mode 100644 doc/source/rllib/package_ref/env/external.rst create mode 100644 rllib/env/external/__init__.py create mode 100644 rllib/env/external/env_runner_server_for_external_inference.py create mode 100644 rllib/env/external/rllink.py create mode 100644 rllib/examples/envs/classes/utils/dummy_external_client.py delete mode 100755 rllib/examples/envs/external_envs/cartpole_client.py delete mode 100755 rllib/examples/envs/external_envs/cartpole_server.py delete mode 100644 rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py delete mode 100644 rllib/examples/envs/external_envs/unity3d_client.py delete mode 100644 rllib/examples/envs/external_envs/unity3d_dummy_client.py delete mode 100755 rllib/examples/envs/external_envs/unity3d_server.py diff --git a/doc/source/rllib/external-envs.rst b/doc/source/rllib/external-envs.rst index 7730a17117c6..2307457447a8 100644 --- a/doc/source/rllib/external-envs.rst +++ b/doc/source/rllib/external-envs.rst @@ -30,7 +30,7 @@ should step. .. scale: 75 % .. A Unity3D soccer game being learnt by RLlib via the ExternalEnv API. -RLlib provides an `external messaging protocol `__ +RLlib provides an `external messaging protocol `__ called :ref:`RLlink ` for this purpose as well as the option to customize your :py:class:`~ray.rllib.env.env_runner.EnvRunner` class toward communicating through :ref:`RLlink ` with one or more clients. An example, `tcp-based EnvRunner implementation with RLlink is available here `__. diff --git a/doc/source/rllib/package_ref/env.rst b/doc/source/rllib/package_ref/env.rst index b8a49f196508..aa9bfcc483c0 100644 --- a/doc/source/rllib/package_ref/env.rst +++ b/doc/source/rllib/package_ref/env.rst @@ -21,12 +21,6 @@ gymnasium's own `vectorization feature = 1.x` custom vectorization feature. - External Envs ------------- @@ -55,4 +49,5 @@ Environment API Reference env/multi_agent_env.rst env/multi_agent_env_runner.rst env/multi_agent_episode.rst + env/external.rst env/utils.rst diff --git a/doc/source/rllib/package_ref/env/external.rst b/doc/source/rllib/package_ref/env/external.rst new file mode 100644 index 000000000000..4dce2def1646 --- /dev/null +++ b/doc/source/rllib/package_ref/env/external.rst @@ -0,0 +1,22 @@ +.. include:: /_includes/rllib/we_are_hiring.rst + +.. _env-external-reference-docs: + +External Envs +============= + +.. include:: /_includes/rllib/new_api_stack.rst + +ray.rllib.env.external.rllink.RLlink +------------------------------------ + +.. currentmodule:: ray.rllib.env.external.rllink + +.. autoclass:: ray.rllib.env.external.rllink.RLlink + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + ~get_rllink_message + ~send_rllink_message diff --git a/doc/source/rllib/package_ref/env/utils.rst b/doc/source/rllib/package_ref/env/utils.rst index 49a884bd6bc4..99717102ef34 100644 --- a/doc/source/rllib/package_ref/env/utils.rst +++ b/doc/source/rllib/package_ref/env/utils.rst @@ -16,6 +16,5 @@ rllib.env.utils :nosignatures: :toctree: env/ - ~external_env_protocol.RLlink ~try_import_open_spiel ~try_import_pyspiel diff --git a/rllib/BUILD b/rllib/BUILD index 8ed94ce32d53..41fcc6f16146 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -4112,6 +4112,7 @@ py_test( args = [ "--as-test", "--port=12346", + "--use-dummy-client", ], main = "examples/envs/env_connecting_to_rllib_w_tcp_client.py", tags = [ diff --git a/rllib/env/external/__init__.py b/rllib/env/external/__init__.py new file mode 100644 index 000000000000..343adb18b3c5 --- /dev/null +++ b/rllib/env/external/__init__.py @@ -0,0 +1,12 @@ +from ray.rllib.env.external.rllink import ( + get_rllink_message, + send_rllink_message, + RLlink, +) + + +__all__ = [ + "get_rllink_message", + "send_rllink_message", + "RLlink", +] diff --git a/rllib/env/external/env_runner_server_for_external_inference.py b/rllib/env/external/env_runner_server_for_external_inference.py new file mode 100644 index 000000000000..36bb2723c27b --- /dev/null +++ b/rllib/env/external/env_runner_server_for_external_inference.py @@ -0,0 +1,368 @@ +from collections import defaultdict +import pickle +import socket +import threading +import time +from typing import Collection, DefaultDict, List, Optional, Union + +from ray.rllib.core import ( + COMPONENT_RL_MODULE, + DEFAULT_AGENT_ID, + DEFAULT_MODULE_ID, +) +from ray.rllib.env import INPUT_ENV_SPACES +from ray.rllib.env.env_runner import EnvRunner +from ray.rllib.env.single_agent_env_runner import SingleAgentEnvRunner +from ray.rllib.env.single_agent_episode import SingleAgentEpisode +from ray.rllib.env.external.rllink import ( + get_rllink_message, + send_rllink_message, + RLlink, +) +from ray.rllib.utils.annotations import override +from ray.rllib.utils.checkpoints import Checkpointable +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.metrics import ( + EPISODE_DURATION_SEC_MEAN, + EPISODE_LEN_MAX, + EPISODE_LEN_MEAN, + EPISODE_LEN_MIN, + EPISODE_RETURN_MAX, + EPISODE_RETURN_MEAN, + EPISODE_RETURN_MIN, + WEIGHTS_SEQ_NO, +) +from ray.rllib.utils.metrics.metrics_logger import MetricsLogger +from ray.rllib.utils.typing import EpisodeID, StateDict +from ray.util.annotations import DeveloperAPI + +torch, _ = try_import_torch() + + +@DeveloperAPI +class EnvRunnerServerForExternalInference(EnvRunner, Checkpointable): + """An EnvRunner communicating with an external env through a TCP socket. + + This implementation assumes: + - Only one external client ever connects to this env runner. + - The external client owns the connector pipelines (env-to-module and module-to-env) + as well as the RLModule and thus performs inference locally. Samples are sent in + bulk as lists of RLlib episodes once a certain number of timesteps has been executed + on the client's side. + - A copy of the RLModule is kept at all times on this EnvRunner, but is never used + for inference, only as a weights container. + TODO (sven): The above might be inefficient as we have to store basically two + models, one in this EnvRunner, one in the env (as ONNX). + - As a consequence, there are no environment and no connectors on this env runner. + The external env is responsible for generating all the data to create episodes. + """ + + @override(EnvRunner) + def __init__(self, *, config, **kwargs): + """ + Initializes an EnvRunnerServerForExternalInference instance. + + Args: + config: The AlgorithmConfig to use for setup. + + Keyword Args: + port: The base port number. The server socket is then actually bound to + `port` + self.worker_index. + """ + super().__init__(config=config, **kwargs) + + self.worker_index: int = kwargs.get("worker_index", 0) + + self._weights_seq_no = 0 + + # Build the module from its spec. + module_spec = self.config.get_rl_module_spec( + spaces=self.get_spaces(), inference_only=True + ) + self.module = module_spec.build() + + self.host = "localhost" + self.port = int(self.config.env_config.get("port", 5555)) + self.worker_index + self.server_socket = None + self.client_socket = None + self.address = None + + self.metrics = MetricsLogger() + + self._episode_chunks_to_return: Optional[List[SingleAgentEpisode]] = None + self._done_episodes_for_metrics: List[SingleAgentEpisode] = [] + self._ongoing_episodes_for_metrics: DefaultDict[ + EpisodeID, List[SingleAgentEpisode] + ] = defaultdict(list) + + self._sample_lock = threading.Lock() + self._on_policy_lock = threading.Lock() + self._blocked_on_state = False + + # Start a background thread for client communication. + self.thread = threading.Thread( + target=self._client_message_listener, daemon=True + ) + self.thread.start() + + @override(EnvRunner) + def assert_healthy(self): + """Checks that the server socket is open and listening.""" + assert ( + self.server_socket is not None + ), "Server socket is None (not connected, not listening)." + + @override(EnvRunner) + def sample(self, **kwargs): + """Waits for the client to send episodes.""" + while True: + with self._sample_lock: + if self._episode_chunks_to_return is not None: + num_env_steps = 0 + num_episodes_completed = 0 + for eps in self._episode_chunks_to_return: + if eps.is_done: + self._done_episodes_for_metrics.append(eps) + num_episodes_completed += 1 + else: + self._ongoing_episodes_for_metrics[eps.id_].append(eps) + num_env_steps += len(eps) + + ret = self._episode_chunks_to_return + self._episode_chunks_to_return = None + + SingleAgentEnvRunner._increase_sampled_metrics( + self, num_env_steps, num_episodes_completed + ) + + return ret + time.sleep(0.01) + + @override(EnvRunner) + def get_metrics(self): + # TODO (sven): We should probably make this a utility function to be called + # from within Single/MultiAgentEnvRunner and other EnvRunner subclasses, as + # needed. + # Compute per-episode metrics (only on already completed episodes). + for eps in self._done_episodes_for_metrics: + assert eps.is_done + episode_length = len(eps) + episode_return = eps.get_return() + episode_duration_s = eps.get_duration_s() + # Don't forget about the already returned chunks of this episode. + if eps.id_ in self._ongoing_episodes_for_metrics: + for eps2 in self._ongoing_episodes_for_metrics[eps.id_]: + episode_length += len(eps2) + episode_return += eps2.get_return() + episode_duration_s += eps2.get_duration_s() + del self._ongoing_episodes_for_metrics[eps.id_] + + self._log_episode_metrics( + episode_length, episode_return, episode_duration_s + ) + + # Now that we have logged everything, clear cache of done episodes. + self._done_episodes_for_metrics.clear() + + # Return reduced metrics. + return self.metrics.reduce() + + def get_spaces(self): + return { + INPUT_ENV_SPACES: (self.config.observation_space, self.config.action_space), + DEFAULT_MODULE_ID: ( + self.config.observation_space, + self.config.action_space, + ), + } + + @override(EnvRunner) + def stop(self): + """Closes the client and server sockets.""" + self._close_sockets_if_necessary() + + @override(Checkpointable) + def get_ctor_args_and_kwargs(self): + return ( + (), # *args + {"config": self.config}, # **kwargs + ) + + @override(Checkpointable) + def get_checkpointable_components(self): + return [ + (COMPONENT_RL_MODULE, self.module), + ] + + @override(Checkpointable) + def get_state( + self, + components: Optional[Union[str, Collection[str]]] = None, + *, + not_components: Optional[Union[str, Collection[str]]] = None, + **kwargs, + ) -> StateDict: + return { + COMPONENT_RL_MODULE: self.module.get_state(), + WEIGHTS_SEQ_NO: self._weights_seq_no, + } + + @override(Checkpointable) + def set_state(self, state: StateDict) -> None: + # Update the RLModule state. + if COMPONENT_RL_MODULE in state: + # A missing value for WEIGHTS_SEQ_NO or a value of 0 means: Force the + # update. + weights_seq_no = state.get(WEIGHTS_SEQ_NO, 0) + + # Only update the weigths, if this is the first synchronization or + # if the weights of this `EnvRunner` lacks behind the actual ones. + if weights_seq_no == 0 or self._weights_seq_no < weights_seq_no: + rl_module_state = state[COMPONENT_RL_MODULE] + if ( + isinstance(rl_module_state, dict) + and DEFAULT_MODULE_ID in rl_module_state + ): + rl_module_state = rl_module_state[DEFAULT_MODULE_ID] + self.module.set_state(rl_module_state) + + # Update our weights_seq_no, if the new one is > 0. + if weights_seq_no > 0: + self._weights_seq_no = weights_seq_no + + if self._blocked_on_state is True: + self._send_set_state_message() + self._blocked_on_state = False + + def _client_message_listener(self): + """Entry point for the listener thread.""" + + # Set up the server socket and bind to the specified host and port. + self._recycle_sockets() + + # Enter an endless message receival- and processing loop. + while True: + # As long as we are blocked on a new state, sleep a bit and continue. + # Do NOT process any incoming messages (until we send out the new state + # back to the client). + if self._blocked_on_state is True: + time.sleep(0.01) + continue + + try: + # Blocking call to get next message. + msg_type, msg_body = get_rllink_message(self.client_socket) + + # Process the message received based on its type. + # Initial handshake. + if msg_type == RLlink.PING: + self._send_pong_message() + + # Episode data from the client. + elif msg_type in [ + RLlink.EPISODES, + RLlink.EPISODES_AND_GET_STATE, + ]: + self._process_episodes_message(msg_type, msg_body) + + # Client requests the state (model weights). + elif msg_type == RLlink.GET_STATE: + self._send_set_state_message() + + # Clients requests config information. + elif msg_type == RLlink.GET_CONFIG: + self._send_set_config_message() + + except ConnectionError as e: + print(f"Messaging/connection error {e}! Recycling sockets ...") + self._recycle_sockets(5.0) + continue + + def _recycle_sockets(self, sleep: float = 0.0): + # Close all old sockets, if they exist. + self._close_sockets_if_necessary() + + time.sleep(sleep) + + # Start listening on the configured port. + self.server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + # Allow reuse of the address. + self.server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + self.server_socket.bind((self.host, self.port)) + # Listen for a single connection. + self.server_socket.listen(1) + print(f"Waiting for client to connect to port {self.port}...") + + self.client_socket, self.address = self.server_socket.accept() + print(f"Connected to client at {self.address}") + + def _close_sockets_if_necessary(self): + if self.client_socket: + self.client_socket.close() + if self.server_socket: + self.server_socket.close() + + def _send_pong_message(self): + send_rllink_message(self.client_socket, {"type": RLlink.PONG.name}) + + def _process_episodes_message(self, msg_type, msg_body): + # On-policy training -> we have to block until we get a new `set_state` call + # (b/c the learning step is done and we can send new weights back to all + # clients). + if msg_type == RLlink.EPISODES_AND_GET_STATE: + self._blocked_on_state = True + + episodes = [] + for episode_state in msg_body["episodes"]: + episode = SingleAgentEpisode.from_state(episode_state) + episodes.append(episode.to_numpy()) + + # Push episodes into the to-be-returned list (for `sample()` requests). + with self._sample_lock: + if isinstance(self._episode_chunks_to_return, list): + self._episode_chunks_to_return.extend(episodes) + else: + self._episode_chunks_to_return = episodes + + def _send_set_state_message(self): + send_rllink_message( + self.client_socket, + { + "type": RLlink.SET_STATE.name, + "state": self.get_state(inference_only=True), + }, + ) + + def _send_set_config_message(self): + send_rllink_message( + self.client_socket, + { + "type": RLlink.SET_CONFIG.name, + # TODO (sven): We need AlgorithmConfig to be a `Checkpointable` with a + # msgpack'able state. + "config": pickle.dumps(self.config), + }, + ) + + def _log_episode_metrics(self, length, ret, sec): + # Log general episode metrics. + # To mimic the old API stack behavior, we'll use `window` here for + # these particular stats (instead of the default EMA). + win = self.config.metrics_num_episodes_for_smoothing + self.metrics.log_value(EPISODE_LEN_MEAN, length, window=win) + self.metrics.log_value(EPISODE_RETURN_MEAN, ret, window=win) + self.metrics.log_value(EPISODE_DURATION_SEC_MEAN, sec, window=win) + # Per-agent returns. + self.metrics.log_value( + ("agent_episode_returns_mean", DEFAULT_AGENT_ID), ret, window=win + ) + # Per-RLModule returns. + self.metrics.log_value( + ("module_episode_returns_mean", DEFAULT_MODULE_ID), ret, window=win + ) + + # For some metrics, log min/max as well. + self.metrics.log_value(EPISODE_LEN_MIN, length, reduce="min", window=win) + self.metrics.log_value(EPISODE_RETURN_MIN, ret, reduce="min", window=win) + self.metrics.log_value(EPISODE_LEN_MAX, length, reduce="max", window=win) + self.metrics.log_value(EPISODE_RETURN_MAX, ret, reduce="max", window=win) diff --git a/rllib/env/external/rllink.py b/rllib/env/external/rllink.py new file mode 100644 index 000000000000..dfb72bda97b6 --- /dev/null +++ b/rllib/env/external/rllink.py @@ -0,0 +1,109 @@ +from enum import Enum +from packaging.version import Version + +from ray.rllib.utils.checkpoints import try_import_msgpack +from ray.util.annotations import DeveloperAPI + + +msgpack = None + + +@DeveloperAPI +class RLlink(Enum): + PROTOCOL_VERSION = Version("0.0.1") + + # Requests: Client (external env) -> Server (RLlib). + # ---- + # Ping command (initial handshake). + PING = "PING" + # List of episodes (similar to what an EnvRunner.sample() call would return). + EPISODES = "EPISODES" + # Request state (e.g. model weights). + GET_STATE = "GET_STATE" + # Request Algorithm config. + GET_CONFIG = "GET_CONFIG" + # Send episodes and request the next state update right after that. + # Clients sending this message should wait for a SET_STATE message as an immediate + # response. Useful for external samplers that must collect on-policy data. + EPISODES_AND_GET_STATE = "EPISODES_AND_GET_STATE" + + # Responses: Server (RLlib) -> Client (external env). + # ---- + # Pong response (initial handshake). + PONG = "PONG" + # Set state (e.g. model weights). + SET_STATE = "SET_STATE" + # Set Algorithm config. + SET_CONFIG = "SET_CONFIG" + + # @OldAPIStack (to be deprecated soon). + ACTION_SPACE = "ACTION_SPACE" + OBSERVATION_SPACE = "OBSERVATION_SPACE" + GET_WORKER_ARGS = "GET_WORKER_ARGS" + GET_WEIGHTS = "GET_WEIGHTS" + REPORT_SAMPLES = "REPORT_SAMPLES" + START_EPISODE = "START_EPISODE" + GET_ACTION = "GET_ACTION" + LOG_ACTION = "LOG_ACTION" + LOG_RETURNS = "LOG_RETURNS" + END_EPISODE = "END_EPISODE" + + def __str__(self): + return self.name + + +@DeveloperAPI +def send_rllink_message(sock_, message: dict): + """Sends a message to the client with a length header.""" + global msgpack + if msgpack is None: + msgpack = try_import_msgpack(error=True) + + body = msgpack.packb(message, use_bin_type=True) # .encode("utf-8") + header = str(len(body)).zfill(8).encode("utf-8") + try: + sock_.sendall(header + body) + except Exception as e: + raise ConnectionError( + f"Error sending message {message} to server on socket {sock_}! " + f"Original error was: {e}" + ) + + +@DeveloperAPI +def get_rllink_message(sock_): + """Receives a message from the client following the length-header protocol.""" + global msgpack + if msgpack is None: + msgpack = try_import_msgpack(error=True) + + try: + # Read the length header (8 bytes) + header = _get_num_bytes(sock_, 8) + msg_length = int(header.decode("utf-8")) + # Read the message body + body = _get_num_bytes(sock_, msg_length) + # Decode JSON. + message = msgpack.unpackb(body, raw=False) # .loads(body.decode("utf-8")) + # Check for proper protocol. + if "type" not in message: + raise ConnectionError( + "Protocol Error! Message from peer does not contain `type` field." + ) + return RLlink(message.pop("type")), message + except Exception as e: + raise ConnectionError( + f"Error receiving message from peer on socket {sock_}! " + f"Original error was: {e}" + ) + + +def _get_num_bytes(sock_, num_bytes): + """Helper function to receive a specific number of bytes.""" + data = b"" + while len(data) < num_bytes: + packet = sock_.recv(num_bytes - len(data)) + if not packet: + raise ConnectionError(f"No data received from socket {sock_}!") + data += packet + return data diff --git a/rllib/env/policy_client.py b/rllib/env/policy_client.py index 2f3791226077..e4e2e9ad8a62 100644 --- a/rllib/env/policy_client.py +++ b/rllib/env/policy_client.py @@ -1,9 +1,3 @@ -"""REST client to interact with a policy server. - -This client supports both local and remote policy inference modes. Local -inference is faster but causes more compute to be done on the client. -""" - import logging import threading import time @@ -23,7 +17,7 @@ ) # Backward compatibility. -from ray.rllib.env.utils.external_env_protocol import RLlink as Commands +from ray.rllib.env.external.rllink import RLlink as Commands logger = logging.getLogger(__name__) @@ -48,20 +42,6 @@ def __init__( update_interval: float = 10.0, session: Optional[requests.Session] = None, ): - """Create a PolicyClient instance. - - Args: - address: Server to connect to (e.g., "localhost:9090"). - inference_mode: Whether to use 'local' or 'remote' policy - inference for computing actions. - update_interval (float or None): If using 'local' inference mode, - the policy is refreshed after this many seconds have passed, - or None for manual control via client. - session (requests.Session or None): If available the session object - is used to communicate with the policy server. Using a session - can lead to speedups as connections are reused. It is the - responsibility of the creator of the session to close it. - """ self.address = address self.session = session self.env: ExternalEnv = None @@ -76,18 +56,6 @@ def __init__( def start_episode( self, episode_id: Optional[str] = None, training_enabled: bool = True ) -> str: - """Record the start of one or more episode(s). - - Args: - episode_id (Optional[str]): Unique string id for the episode or - None for it to be auto-assigned. - training_enabled: Whether to use experiences for this - episode to improve the policy. - - Returns: - episode_id: Unique string id for the episode. - """ - if self.local: self._update_local_policy() return self.env.start_episode(episode_id, training_enabled) @@ -103,16 +71,6 @@ def start_episode( def get_action( self, episode_id: str, observation: Union[EnvObsType, MultiAgentDict] ) -> Union[EnvActionType, MultiAgentDict]: - """Record an observation and get the on-policy action. - - Args: - episode_id: Episode id returned from start_episode(). - observation: Current environment observation. - - Returns: - action: Action from the env action space. - """ - if self.local: self._update_local_policy() if isinstance(episode_id, (list, tuple)): @@ -138,14 +96,6 @@ def log_action( observation: Union[EnvObsType, MultiAgentDict], action: Union[EnvActionType, MultiAgentDict], ) -> None: - """Record an observation and (off-policy) action taken. - - Args: - episode_id: Episode id returned from start_episode(). - observation: Current environment observation. - action: Action for the observation. - """ - if self.local: self._update_local_policy() return self.env.log_action(episode_id, observation, action) @@ -166,19 +116,6 @@ def log_returns( info: Union[EnvInfoDict, MultiAgentDict] = None, multiagent_done_dict: Optional[MultiAgentDict] = None, ) -> None: - """Record returns from the environment. - - The reward will be attributed to the previous action taken by the - episode. Rewards accumulate until the next action. If no reward is - logged before the next action, a reward of 0.0 is assumed. - - Args: - episode_id: Episode id returned from start_episode(). - reward: Reward from the environment. - info: Extra info dict. - multiagent_done_dict: Multi-agent done information. - """ - if self.local: self._update_local_policy() if multiagent_done_dict is not None: @@ -201,13 +138,6 @@ def log_returns( def end_episode( self, episode_id: str, observation: Union[EnvObsType, MultiAgentDict] ) -> None: - """Record the end of an episode. - - Args: - episode_id: Episode id returned from start_episode(). - observation: Current environment observation. - """ - if self.local: self._update_local_policy() return self.env.end_episode(episode_id, observation) @@ -276,9 +206,8 @@ def _update_local_policy(self, force=False): self.last_updated = time.time() +@OldAPIStack class _LocalInferenceThread(threading.Thread): - """Thread that handles experience generation (worker.sample() loop).""" - def __init__(self, rollout_worker, send_fn): super().__init__() self.daemon = True @@ -313,13 +242,8 @@ def run(self): logger.error("Error: inference worker thread died!", e) +@OldAPIStack def _auto_wrap_external(real_env_creator): - """Wrap an environment in the ExternalEnv interface if needed. - - Args: - real_env_creator: Create an env given the env_config. - """ - def wrapped_creator(env_config): real_env = real_env_creator(env_config) if not isinstance(real_env, (ExternalEnv, ExternalMultiAgentEnv)): @@ -352,14 +276,8 @@ def run(self): return wrapped_creator +@OldAPIStack def _create_embedded_rollout_worker(kwargs, send_fn): - """Create a local rollout worker and a thread that samples from it. - - Args: - kwargs: Args for the RolloutWorker constructor. - send_fn: Function to send a JSON request to the server. - """ - # Since the server acts as an input datasource, we have to reset the # input config to the default, which runs env rollouts. kwargs = kwargs.copy() diff --git a/rllib/env/policy_server_input.py b/rllib/env/policy_server_input.py index 70bc2d130757..48598a51d9eb 100644 --- a/rllib/env/policy_server_input.py +++ b/rllib/env/policy_server_input.py @@ -16,7 +16,7 @@ from ray.rllib.offline.input_reader import InputReader from ray.rllib.offline.io_context import IOContext from ray.rllib.policy.sample_batch import SampleBatch -from ray.rllib.utils.annotations import override, PublicAPI +from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.evaluation.metrics import RolloutMetrics from ray.rllib.evaluation.sampler import SamplerInput from ray.rllib.utils.typing import SampleBatchType @@ -25,58 +25,8 @@ logger = logging.getLogger(__name__) -@PublicAPI +@OldAPIStack class PolicyServerInput(ThreadingMixIn, HTTPServer, InputReader): - """REST policy server that acts as an offline data source. - - This launches a multi-threaded server that listens on the specified host - and port to serve policy requests and forward experiences to RLlib. For - high performance experience collection, it implements InputReader. - - For an example, run `examples/envs/external_envs/cartpole_server.py` along - with `examples/envs/external_envs/cartpole_client.py --inference-mode=local|remote`. - - WARNING: This class is not meant to be publicly exposed. Anyone that can - communicate with this server can execute arbitary code on the machine. Use - this with caution, in isolated environments, and at your own risk. - - .. testcode:: - :skipif: True - - import gymnasium as gym - from ray.rllib.algorithms.ppo import PPOConfig - from ray.rllib.env.policy_client import PolicyClient - from ray.rllib.env.policy_server_input import PolicyServerInput - addr, port = ... - config = ( - PPOConfig() - .api_stack( - enable_rl_module_and_learner=False, - enable_env_runner_and_connector_v2=False, - ) - .environment("CartPole-v1") - .offline_data( - input_=lambda ioctx: PolicyServerInput(ioctx, addr, port) - ) - # Run just 1 server (in the Algorithm's EnvRunnerGroup). - .env_runners(num_env_runners=0) - ) - algo = config.build() - while True: - algo.train() - client = PolicyClient( - "localhost:9900", inference_mode="local") - eps_id = client.start_episode() - env = gym.make("CartPole-v1") - obs, info = env.reset() - action = client.get_action(eps_id, obs) - _, reward, _, _, _ = env.step(action) - client.log_returns(eps_id, reward) - client.log_returns(eps_id, reward) - algo.stop() - """ - - @PublicAPI def __init__( self, ioctx: IOContext, @@ -85,29 +35,6 @@ def __init__( idle_timeout: float = 3.0, max_sample_queue_size: int = 20, ): - """Create a PolicyServerInput. - - This class implements rllib.offline.InputReader, and can be used with - any Algorithm by configuring - - [AlgorithmConfig object] - .env_runners(num_env_runners=0) - .offline_data(input_=lambda ioctx: PolicyServerInput(ioctx, addr, port)) - - Note that by setting num_env_runners: 0, the algorithm will only create one - rollout worker / PolicyServerInput. Clients can connect to the launched - server using rllib.env.PolicyClient. You can increase the number of available - connections (ports) by setting num_env_runners to a larger number. The ports - used will then be `port` + the worker's index. - - Args: - ioctx: IOContext provided by RLlib. - address: Server addr (e.g., "localhost"). - port: Server port (e.g., 9900). - max_queue_size: The maximum size for the sample queue. Once full, will - purge (throw away) 50% of all samples, oldest first, and continue. - """ - self.rollout_worker = ioctx.worker # Protect ourselves from having a bottleneck on the server (learning) side. # Once the queue (deque) is full, we throw away 50% (oldest diff --git a/rllib/env/tcp_client_inference_env_runner.py b/rllib/env/tcp_client_inference_env_runner.py index 8aaf29749a28..09f8f4a2e715 100644 --- a/rllib/env/tcp_client_inference_env_runner.py +++ b/rllib/env/tcp_client_inference_env_runner.py @@ -1,589 +1,6 @@ -import base64 -from collections import defaultdict -import gzip -import json -import pathlib -import socket -import tempfile -import threading -import time -from typing import Collection, DefaultDict, List, Optional, Union - -import gymnasium as gym -import numpy as np -import onnxruntime - -from ray.rllib.core import ( - Columns, - COMPONENT_RL_MODULE, - DEFAULT_AGENT_ID, - DEFAULT_MODULE_ID, -) -from ray.rllib.env import INPUT_ENV_SPACES -from ray.rllib.env.env_runner import EnvRunner -from ray.rllib.env.single_agent_env_runner import SingleAgentEnvRunner -from ray.rllib.env.single_agent_episode import SingleAgentEpisode -from ray.rllib.env.utils.external_env_protocol import RLlink as rllink -from ray.rllib.utils.annotations import ExperimentalAPI, override -from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.framework import try_import_torch -from ray.rllib.utils.metrics import ( - EPISODE_DURATION_SEC_MEAN, - EPISODE_LEN_MAX, - EPISODE_LEN_MEAN, - EPISODE_LEN_MIN, - EPISODE_RETURN_MAX, - EPISODE_RETURN_MEAN, - EPISODE_RETURN_MIN, - WEIGHTS_SEQ_NO, +from ray.rllib.env.external.env_runner_server_for_external_inference import ( + EnvRunnerServerForExternalInference, ) -from ray.rllib.utils.metrics.metrics_logger import MetricsLogger -from ray.rllib.utils.numpy import softmax -from ray.rllib.utils.typing import EpisodeID, StateDict - -torch, _ = try_import_torch() - - -@ExperimentalAPI -class TcpClientInferenceEnvRunner(EnvRunner, Checkpointable): - """An EnvRunner communicating with an external env through a TCP socket. - - This implementation assumes: - - Only one external client ever connects to this env runner. - - The external client performs inference locally through an ONNX model. Thus, - samples are sent in bulk once a certain number of timesteps has been executed on the - client's side (no individual action requests). - - A copy of the RLModule is kept at all times on the env runner, but never used - for inference, only as a data (weights) container. - TODO (sven): The above might be inefficient as we have to store basically two - models, one in this EnvRunner, one in the env (as ONNX). - - There is no environment and no connectors on this env runner. The external env - is responsible for generating all the data to create episodes. - """ - - @override(EnvRunner) - def __init__(self, *, config, **kwargs): - """ - Initializes a TcpClientInferenceEnvRunner instance. - - Args: - config: The AlgorithmConfig to use for setup. - - Keyword Args: - port: The base port number. The server socket is then actually bound to - `port` + self.worker_index. - """ - super().__init__(config=config, **kwargs) - - self.worker_index: int = kwargs.get("worker_index", 0) - - self._weights_seq_no = 0 - - # Build the module from its spec. - module_spec = self.config.get_rl_module_spec( - spaces=self.get_spaces(), inference_only=True - ) - self.module = module_spec.build() - - self.host = "localhost" - self.port = int(self.config.env_config.get("port", 5555)) + self.worker_index - self.server_socket = None - self.client_socket = None - self.address = None - - self.metrics = MetricsLogger() - - self._episode_chunks_to_return: Optional[List[SingleAgentEpisode]] = None - self._done_episodes_for_metrics: List[SingleAgentEpisode] = [] - self._ongoing_episodes_for_metrics: DefaultDict[ - EpisodeID, List[SingleAgentEpisode] - ] = defaultdict(list) - - self._sample_lock = threading.Lock() - self._on_policy_lock = threading.Lock() - self._blocked_on_state = False - - # Start a background thread for client communication. - self.thread = threading.Thread( - target=self._client_message_listener, daemon=True - ) - self.thread.start() - - @override(EnvRunner) - def assert_healthy(self): - """Checks that the server socket is open and listening.""" - assert ( - self.server_socket is not None - ), "Server socket is None (not connected, not listening)." - - @override(EnvRunner) - def sample(self, **kwargs): - """Waits for the client to send episodes.""" - while True: - with self._sample_lock: - if self._episode_chunks_to_return is not None: - num_env_steps = 0 - num_episodes_completed = 0 - for eps in self._episode_chunks_to_return: - if eps.is_done: - self._done_episodes_for_metrics.append(eps) - num_episodes_completed += 1 - else: - self._ongoing_episodes_for_metrics[eps.id_].append(eps) - num_env_steps += len(eps) - - ret = self._episode_chunks_to_return - self._episode_chunks_to_return = None - - SingleAgentEnvRunner._increase_sampled_metrics( - self, num_env_steps, num_episodes_completed - ) - - return ret - time.sleep(0.01) - - @override(EnvRunner) - def get_metrics(self): - # TODO (sven): We should probably make this a utility function to be called - # from within Single/MultiAgentEnvRunner and other EnvRunner subclasses, as - # needed. - # Compute per-episode metrics (only on already completed episodes). - for eps in self._done_episodes_for_metrics: - assert eps.is_done - episode_length = len(eps) - episode_return = eps.get_return() - episode_duration_s = eps.get_duration_s() - # Don't forget about the already returned chunks of this episode. - if eps.id_ in self._ongoing_episodes_for_metrics: - for eps2 in self._ongoing_episodes_for_metrics[eps.id_]: - episode_length += len(eps2) - episode_return += eps2.get_return() - episode_duration_s += eps2.get_duration_s() - del self._ongoing_episodes_for_metrics[eps.id_] - - self._log_episode_metrics( - episode_length, episode_return, episode_duration_s - ) - - # Now that we have logged everything, clear cache of done episodes. - self._done_episodes_for_metrics.clear() - - # Return reduced metrics. - return self.metrics.reduce() - - def get_spaces(self): - return { - INPUT_ENV_SPACES: (self.config.observation_space, self.config.action_space), - DEFAULT_MODULE_ID: ( - self.config.observation_space, - self.config.action_space, - ), - } - - @override(EnvRunner) - def stop(self): - """Closes the client and server sockets.""" - self._close_sockets_if_necessary() - - @override(Checkpointable) - def get_ctor_args_and_kwargs(self): - return ( - (), # *args - {"config": self.config}, # **kwargs - ) - - @override(Checkpointable) - def get_checkpointable_components(self): - return [ - (COMPONENT_RL_MODULE, self.module), - ] - - @override(Checkpointable) - def get_state( - self, - components: Optional[Union[str, Collection[str]]] = None, - *, - not_components: Optional[Union[str, Collection[str]]] = None, - **kwargs, - ) -> StateDict: - return {} - - @override(Checkpointable) - def set_state(self, state: StateDict) -> None: - # Update the RLModule state. - if COMPONENT_RL_MODULE in state: - # A missing value for WEIGHTS_SEQ_NO or a value of 0 means: Force the - # update. - weights_seq_no = state.get(WEIGHTS_SEQ_NO, 0) - - # Only update the weigths, if this is the first synchronization or - # if the weights of this `EnvRunner` lacks behind the actual ones. - if weights_seq_no == 0 or self._weights_seq_no < weights_seq_no: - rl_module_state = state[COMPONENT_RL_MODULE] - if ( - isinstance(rl_module_state, dict) - and DEFAULT_MODULE_ID in rl_module_state - ): - rl_module_state = rl_module_state[DEFAULT_MODULE_ID] - self.module.set_state(rl_module_state) - - # Update our weights_seq_no, if the new one is > 0. - if weights_seq_no > 0: - self._weights_seq_no = weights_seq_no - - if self._blocked_on_state is True: - self._send_set_state_message() - self._blocked_on_state = False - - def _client_message_listener(self): - """Entry point for the listener thread.""" - - # Set up the server socket and bind to the specified host and port. - self._recycle_sockets() - - # Enter an endless message receival- and processing loop. - while True: - # As long as we are blocked on a new state, sleep a bit and continue. - # Do NOT process any incoming messages (until we send out the new state - # back to the client). - if self._blocked_on_state is True: - time.sleep(0.01) - continue - - try: - # Blocking call to get next message. - msg_type, msg_body = _get_message(self.client_socket) - - # Process the message received based on its type. - # Initial handshake. - if msg_type == rllink.PING: - self._send_pong_message() - - # Episode data from the client. - elif msg_type in [ - rllink.EPISODES, - rllink.EPISODES_AND_GET_STATE, - ]: - self._process_episodes_message(msg_type, msg_body) - - # Client requests the state (model weights). - elif msg_type == rllink.GET_STATE: - self._send_set_state_message() - - # Clients requests some (relevant) config information. - elif msg_type == rllink.GET_CONFIG: - self._send_set_config_message() - - except ConnectionError as e: - print(f"Messaging/connection error {e}! Recycling sockets ...") - self._recycle_sockets(5.0) - continue - - def _recycle_sockets(self, sleep: float = 0.0): - # Close all old sockets, if they exist. - self._close_sockets_if_necessary() - - time.sleep(sleep) - - # Start listening on the configured port. - self.server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - # Allow reuse of the address. - self.server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) - self.server_socket.bind((self.host, self.port)) - # Listen for a single connection. - self.server_socket.listen(1) - print(f"Waiting for client to connect to port {self.port}...") - - self.client_socket, self.address = self.server_socket.accept() - print(f"Connected to client at {self.address}") - - def _close_sockets_if_necessary(self): - if self.client_socket: - self.client_socket.close() - if self.server_socket: - self.server_socket.close() - - def _send_pong_message(self): - _send_message(self.client_socket, {"type": rllink.PONG.name}) - - def _process_episodes_message(self, msg_type, msg_body): - # On-policy training -> we have to block until we get a new `set_state` call - # (b/c the learning step is done and we can sent new weights back to all - # clients). - if msg_type == rllink.EPISODES_AND_GET_STATE: - self._blocked_on_state = True - - episodes = [] - for episode_data in msg_body["episodes"]: - episode = SingleAgentEpisode( - observation_space=self.config.observation_space, - observations=[np.array(o) for o in episode_data[Columns.OBS]], - action_space=self.config.action_space, - actions=episode_data[Columns.ACTIONS], - rewards=episode_data[Columns.REWARDS], - extra_model_outputs={ - Columns.ACTION_DIST_INPUTS: [ - np.array(a) for a in episode_data[Columns.ACTION_DIST_INPUTS] - ], - Columns.ACTION_LOGP: episode_data[Columns.ACTION_LOGP], - }, - terminated=episode_data["is_terminated"], - truncated=episode_data["is_truncated"], - len_lookback_buffer=0, - ) - episodes.append(episode.to_numpy()) - - # Push episodes into the to-be-returned list (for `sample()` requests). - with self._sample_lock: - if isinstance(self._episode_chunks_to_return, list): - self._episode_chunks_to_return.extend(episodes) - else: - self._episode_chunks_to_return = episodes - - def _send_set_state_message(self): - with tempfile.TemporaryDirectory() as dir: - onnx_file = pathlib.Path(dir) / "_temp_model.onnx" - torch.onnx.export( - self.module, - { - "batch": { - "obs": torch.randn(1, *self.config.observation_space.shape) - } - }, - onnx_file, - export_params=True, - ) - with open(onnx_file, "rb") as f: - compressed = gzip.compress(f.read()) - onnx_binary = base64.b64encode(compressed).decode("utf-8") - _send_message( - self.client_socket, - { - "type": rllink.SET_STATE.name, - "onnx_file": onnx_binary, - WEIGHTS_SEQ_NO: self._weights_seq_no, - }, - ) - - def _send_set_config_message(self): - _send_message( - self.client_socket, - { - "type": rllink.SET_CONFIG.name, - "env_steps_per_sample": self.config.get_rollout_fragment_length( - worker_index=self.worker_index - ), - "force_on_policy": True, - }, - ) - - def _log_episode_metrics(self, length, ret, sec): - # Log general episode metrics. - # To mimic the old API stack behavior, we'll use `window` here for - # these particular stats (instead of the default EMA). - win = self.config.metrics_num_episodes_for_smoothing - self.metrics.log_value(EPISODE_LEN_MEAN, length, window=win) - self.metrics.log_value(EPISODE_RETURN_MEAN, ret, window=win) - self.metrics.log_value(EPISODE_DURATION_SEC_MEAN, sec, window=win) - # Per-agent returns. - self.metrics.log_value( - ("agent_episode_returns_mean", DEFAULT_AGENT_ID), ret, window=win - ) - # Per-RLModule returns. - self.metrics.log_value( - ("module_episode_returns_mean", DEFAULT_MODULE_ID), ret, window=win - ) - - # For some metrics, log min/max as well. - self.metrics.log_value(EPISODE_LEN_MIN, length, reduce="min", window=win) - self.metrics.log_value(EPISODE_RETURN_MIN, ret, reduce="min", window=win) - self.metrics.log_value(EPISODE_LEN_MAX, length, reduce="max", window=win) - self.metrics.log_value(EPISODE_RETURN_MAX, ret, reduce="max", window=win) - - -def _send_message(sock_, message: dict): - """Sends a message to the client with a length header.""" - body = json.dumps(message).encode("utf-8") - header = str(len(body)).zfill(8).encode("utf-8") - try: - sock_.sendall(header + body) - except Exception as e: - raise ConnectionError( - f"Error sending message {message} to server on socket {sock_}! " - f"Original error was: {e}" - ) - - -def _get_message(sock_): - """Receives a message from the client following the length-header protocol.""" - try: - # Read the length header (8 bytes) - header = _get_num_bytes(sock_, 8) - msg_length = int(header.decode("utf-8")) - # Read the message body - body = _get_num_bytes(sock_, msg_length) - # Decode JSON. - message = json.loads(body.decode("utf-8")) - # Check for proper protocol. - if "type" not in message: - raise ConnectionError( - "Protocol Error! Message from peer does not contain `type` field." - ) - return rllink(message.pop("type")), message - except Exception as e: - raise ConnectionError( - f"Error receiving message from peer on socket {sock_}! " - f"Original error was: {e}" - ) - - -def _get_num_bytes(sock_, num_bytes): - """Helper function to receive a specific number of bytes.""" - data = b"" - while len(data) < num_bytes: - packet = sock_.recv(num_bytes - len(data)) - if not packet: - raise ConnectionError(f"No data received from socket {sock_}!") - data += packet - return data - - -def _dummy_client(port: int = 5556): - """A dummy client that runs CartPole and acts as a testing external env.""" - - def _set_state(msg_body): - with tempfile.TemporaryDirectory(): - with open("_temp_onnx", "wb") as f: - f.write( - gzip.decompress( - base64.b64decode(msg_body["onnx_file"].encode("utf-8")) - ) - ) - onnx_session = onnxruntime.InferenceSession("_temp_onnx") - output_names = [o.name for o in onnx_session.get_outputs()] - return onnx_session, output_names - - # Connect to server. - while True: - try: - print(f"Trying to connect to localhost:{port} ...") - sock_ = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - sock_.connect(("localhost", port)) - break - except ConnectionRefusedError: - time.sleep(5) - - # Send ping-pong. - _send_message(sock_, {"type": rllink.PING.name}) - msg_type, msg_body = _get_message(sock_) - assert msg_type == rllink.PONG - - # Request config. - _send_message(sock_, {"type": rllink.GET_CONFIG.name}) - msg_type, msg_body = _get_message(sock_) - assert msg_type == rllink.SET_CONFIG - env_steps_per_sample = msg_body["env_steps_per_sample"] - force_on_policy = msg_body["force_on_policy"] - - # Request ONNX weights. - _send_message(sock_, {"type": rllink.GET_STATE.name}) - msg_type, msg_body = _get_message(sock_) - assert msg_type == rllink.SET_STATE - onnx_session, output_names = _set_state(msg_body) - - # Episode collection buckets. - episodes = [] - observations = [] - actions = [] - action_dist_inputs = [] - action_logps = [] - rewards = [] - - timesteps = 0 - episode_return = 0.0 - - # Start actual env loop. - env = gym.make("CartPole-v1") - obs, info = env.reset() - observations.append(obs.tolist()) - - while True: - timesteps += 1 - # Perform action inference using the ONNX model. - logits = onnx_session.run( - output_names, - {"onnx::Gemm_0": np.array([obs], np.float32)}, - )[0][ - 0 - ] # [0]=first return item, [0]=batch size 1 - - # Stochastic sample. - action_probs = softmax(logits) - action = int(np.random.choice(list(range(env.action_space.n)), p=action_probs)) - logp = float(np.log(action_probs[action])) - - # Perform the env step. - obs, reward, terminated, truncated, info = env.step(action) - - # Collect step data. - observations.append(obs.tolist()) - actions.append(action) - action_dist_inputs.append(logits.tolist()) - action_logps.append(logp) - rewards.append(reward) - episode_return += reward - - # We have to create a new episode record. - if timesteps == env_steps_per_sample or terminated or truncated: - episodes.append( - { - Columns.OBS: observations, - Columns.ACTIONS: actions, - Columns.ACTION_DIST_INPUTS: action_dist_inputs, - Columns.ACTION_LOGP: action_logps, - Columns.REWARDS: rewards, - "is_terminated": terminated, - "is_truncated": truncated, - } - ) - # We collected enough samples -> Send them to server. - if timesteps == env_steps_per_sample: - # Make sure the amount of data we collected is correct. - assert sum(len(e["actions"]) for e in episodes) == env_steps_per_sample - - # Send the data to the server. - if force_on_policy: - _send_message( - sock_, - { - "type": rllink.EPISODES_AND_GET_STATE.name, - "episodes": episodes, - "timesteps": timesteps, - }, - ) - # We are forced to sample on-policy. Have to wait for a response - # with the state (weights) in it. - msg_type, msg_body = _get_message(sock_) - assert msg_type == rllink.SET_STATE - onnx_session, output_names = _set_state(msg_body) - - # Sampling doesn't have to be on-policy -> continue collecting - # samples. - else: - raise NotImplementedError - - episodes = [] - timesteps = 0 - - # Set new buckets to empty lists (for next episode). - observations = [observations[-1]] - actions = [] - action_dist_inputs = [] - action_logps = [] - rewards = [] - # The episode is done -> Reset. - if terminated or truncated: - obs, _ = env.reset() - observations = [obs.tolist()] - episode_return = 0.0 +# @Deprecated +TcpClientInferenceEnvRunner = EnvRunnerServerForExternalInference diff --git a/rllib/env/utils/external_env_protocol.py b/rllib/env/utils/external_env_protocol.py index 0234d273470f..7fedebedcd26 100644 --- a/rllib/env/utils/external_env_protocol.py +++ b/rllib/env/utils/external_env_protocol.py @@ -1,45 +1,8 @@ -from enum import Enum - -from ray.util.annotations import PublicAPI - - -@PublicAPI(stability="alpha") -class RLlink(Enum): - # Requests: Client (external env) -> Server (RLlib). - # ---- - # Ping command (initial handshake). - PING = "PING" - # List of episodes (similar to what an EnvRunner.sample() call would return). - EPISODES = "EPISODES" - # Request state (e.g. model weights). - GET_STATE = "GET_STATE" - # Request (relevant) config. - GET_CONFIG = "GET_CONFIG" - # Send episodes and request the next state update right after that. - # Clients sending this message should wait for a SET_STATE message as an immediate - # response. Useful for external samplers that must collect on-policy data. - EPISODES_AND_GET_STATE = "EPISODES_AND_GET_STATE" - - # Responses: Server (RLlib) -> Client (external env). - # ---- - # Pong response (initial handshake). - PONG = "PONG" - # Set state (e.g. model weights). - SET_STATE = "SET_STATE" - # Set (relevant) config. - SET_CONFIG = "SET_CONFIG" - - # @OldAPIStack (to be deprecated soon). - ACTION_SPACE = "ACTION_SPACE" - OBSERVATION_SPACE = "OBSERVATION_SPACE" - GET_WORKER_ARGS = "GET_WORKER_ARGS" - GET_WEIGHTS = "GET_WEIGHTS" - REPORT_SAMPLES = "REPORT_SAMPLES" - START_EPISODE = "START_EPISODE" - GET_ACTION = "GET_ACTION" - LOG_ACTION = "LOG_ACTION" - LOG_RETURNS = "LOG_RETURNS" - END_EPISODE = "END_EPISODE" - - def __str__(self): - return self.name +from ray.rllib.env.external.rllink import RLlink # noqa +from ray.rllib.utils.deprecation import deprecation_warning + +deprecation_warning( + old="ray.rllib.env.utils.external_env_protocol", + new="ray.rllib.env.external.rllink", + error=False, +) diff --git a/rllib/env/utils/infinite_lookback_buffer.py b/rllib/env/utils/infinite_lookback_buffer.py index 26f76fbc31ae..76004f0200fa 100644 --- a/rllib/env/utils/infinite_lookback_buffer.py +++ b/rllib/env/utils/infinite_lookback_buffer.py @@ -13,8 +13,10 @@ get_base_struct_from_space, to_jsonable_if_needed, ) +from ray.util.annotations import DeveloperAPI +@DeveloperAPI class InfiniteLookbackBuffer: @property def space(self): diff --git a/rllib/env/wrappers/unity3d_env.py b/rllib/env/wrappers/unity3d_env.py index 45f0f910af92..82babd666741 100644 --- a/rllib/env/wrappers/unity3d_env.py +++ b/rllib/env/wrappers/unity3d_env.py @@ -7,28 +7,14 @@ from ray.rllib.env.multi_agent_env import MultiAgentEnv from ray.rllib.policy.policy import PolicySpec -from ray.rllib.utils.annotations import PublicAPI +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.typing import MultiAgentDict, PolicyID, AgentID logger = logging.getLogger(__name__) -@PublicAPI +@OldAPIStack class Unity3DEnv(MultiAgentEnv): - """A MultiAgentEnv representing a single Unity3D game instance. - - For an example on how to use this Env with a running Unity3D editor - or with a compiled game, see: - `rllib/examples/unity3d_env_local.py` - For an example on how to use it inside a Unity game client, which - connects to an RLlib Policy server, see: - `rllib/examples/envs/external_envs/unity3d_[client|server].py` - - Supports all Unity3D (MLAgents) examples, multi- or single-agent and - gets converted automatically into an ExternalMultiAgentEnv, when used - inside an RLlib PolicyClient for cloud/distributed training of Unity games. - """ - # Default base port when connecting directly to the Editor _BASE_PORT_EDITOR = 5004 # Default base port when connecting to a compiled environment @@ -45,25 +31,6 @@ def __init__( timeout_wait: int = 300, episode_horizon: int = 1000, ): - """Initializes a Unity3DEnv object. - - Args: - file_name (Optional[str]): Name of the Unity game binary. - If None, will assume a locally running Unity3D editor - to be used, instead. - port (Optional[int]): Port number to connect to Unity environment. - seed: A random seed value to use for the Unity3D game. - no_graphics: Whether to run the Unity3D simulator in - no-graphics mode. Default: False. - timeout_wait: Time (in seconds) to wait for connection from - the Unity3D instance. - episode_horizon: A hard horizon to abide to. After at most - this many steps (per-agent episode `step()` calls), the - Unity3D game is reset and will start again (finishing the - multi-agent episode that the game represents). - Note: The game itself may contain its own episode length - limits, which are always obeyed (on top of this value here). - """ super().__init__() if file_name is None: @@ -120,24 +87,6 @@ def step( ) -> Tuple[ MultiAgentDict, MultiAgentDict, MultiAgentDict, MultiAgentDict, MultiAgentDict ]: - """Performs one multi-agent step through the game. - - Args: - action_dict: Multi-agent action dict with: - keys=agent identifier consisting of - [MLagents behavior name, e.g. "Goalie?team=1"] + "_" + - [Agent index, a unique MLAgent-assigned index per single agent] - - Returns: - tuple: - - obs: Multi-agent observation dict. - Only those observations for which to get new actions are - returned. - - rewards: Rewards dict matching `obs`. - - dones: Done dict with only an __all__ multi-agent entry in - it. __all__=True, if episode is done for all agents. - - infos: An (empty) info dict. - """ from mlagents_envs.base_env import ActionTuple # Set only the required actions (from the DecisionSteps) in Unity3D. @@ -199,18 +148,6 @@ def reset( return obs, infos def _get_step_results(self): - """Collects those agents' obs/rewards that have to act in next `step`. - - Returns: - Tuple: - obs: Multi-agent observation dict. - Only those observations for which to get new actions are - returned. - rewards: Rewards dict matching `obs`. - dones: Done dict with only an __all__ multi-agent entry in it. - __all__=True, if episode is done for all agents. - infos: An (empty) info dict. - """ obs = {} rewards = {} infos = {} diff --git a/rllib/examples/envs/classes/utils/dummy_external_client.py b/rllib/examples/envs/classes/utils/dummy_external_client.py new file mode 100644 index 000000000000..8cc1bf0af6f7 --- /dev/null +++ b/rllib/examples/envs/classes/utils/dummy_external_client.py @@ -0,0 +1,126 @@ +import pickle +import socket +import time + +import gymnasium as gym +import numpy as np + +from ray.rllib.core import ( + Columns, + COMPONENT_RL_MODULE, +) +from ray.rllib.env.external.rllink import ( + get_rllink_message, + send_rllink_message, + RLlink, +) +from ray.rllib.env.single_agent_episode import SingleAgentEpisode +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.numpy import softmax + +torch, _ = try_import_torch() + + +def _dummy_external_client(port: int = 5556): + """A dummy client that runs CartPole and acts as a testing external env.""" + + def _set_state(msg_body, rl_module): + rl_module.set_state(msg_body[COMPONENT_RL_MODULE]) + # return msg_body[WEIGHTS_SEQ_NO] + + # Connect to server. + while True: + try: + print(f"Trying to connect to localhost:{port} ...") + sock_ = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + sock_.connect(("localhost", port)) + break + except ConnectionRefusedError: + time.sleep(5) + + # Send ping-pong. + send_rllink_message(sock_, {"type": RLlink.PING.name}) + msg_type, msg_body = get_rllink_message(sock_) + assert msg_type == RLlink.PONG + + # Request config. + send_rllink_message(sock_, {"type": RLlink.GET_CONFIG.name}) + msg_type, msg_body = get_rllink_message(sock_) + assert msg_type == RLlink.SET_CONFIG + + config = pickle.loads(msg_body["config"]) + # Create the RLModule. + rl_module = config.get_rl_module_spec().build() + + # Request state/weights. + send_rllink_message(sock_, {"type": RLlink.GET_STATE.name}) + msg_type, msg_body = get_rllink_message(sock_) + assert msg_type == RLlink.SET_STATE + _set_state(msg_body["state"], rl_module) + + env_steps_per_sample = config.get_rollout_fragment_length() + + # Start actual env loop. + env = gym.make("CartPole-v1") + obs, _ = env.reset() + episode = SingleAgentEpisode(observations=[obs]) + episodes = [episode] + + while True: + # Perform action inference using the RLModule. + logits = rl_module.forward_exploration( + batch={ + Columns.OBS: torch.tensor(np.array([obs], np.float32)), + } + )[Columns.ACTION_DIST_INPUTS][ + 0 + ].numpy() # [0]=batch size 1 + + # Stochastic sample. + action_probs = softmax(logits) + action = int(np.random.choice(list(range(env.action_space.n)), p=action_probs)) + logp = float(np.log(action_probs[action])) + + # Perform the env step. + obs, reward, terminated, truncated, _ = env.step(action) + + # Collect step data. + episode.add_env_step( + action=action, + reward=reward, + observation=obs, + terminated=terminated, + truncated=truncated, + extra_model_outputs={ + Columns.ACTION_DIST_INPUTS: logits, + Columns.ACTION_LOGP: logp, + }, + ) + + # We collected enough samples -> Send them to server. + if sum(map(len, episodes)) == env_steps_per_sample: + # Send the data to the server. + send_rllink_message( + sock_, + { + "type": RLlink.EPISODES_AND_GET_STATE.name, + "episodes": [e.get_state() for e in episodes], + "timesteps": env_steps_per_sample, + }, + ) + # We are forced to sample on-policy. Have to wait for a response + # with the state (weights) in it. + msg_type, msg_body = get_rllink_message(sock_) + assert msg_type == RLlink.SET_STATE + _set_state(msg_body["state"], rl_module) + + episodes = [] + if not episode.is_done: + episode = episode.cut() + episodes.append(episode) + + # If episode is done, reset env and create a new episode. + if episode.is_done: + obs, _ = env.reset() + episode = SingleAgentEpisode(observations=[obs]) + episodes.append(episode) diff --git a/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py b/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py index 3a757bab5993..aedd97237ce0 100644 --- a/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py +++ b/rllib/examples/envs/env_connecting_to_rllib_w_tcp_client.py @@ -1,6 +1,6 @@ """Example of running against a TCP-connected external env performing its own inference. -The example uses a custom EnvRunner (TcpClientInferenceEnvRunner) to allow +The example uses a custom EnvRunner (EnvRunnerServerForExternalInference) to allow connections from one or more TCP clients to RLlib's EnvRunner actors, which act as RL servers. In this example, action inference for stepping the env is performed on the client's @@ -60,16 +60,17 @@ ConnectionError: Error receiving message from peer on socket ... ``` """ -from functools import partial import threading import gymnasium as gym import numpy as np from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig -from ray.rllib.env.tcp_client_inference_env_runner import ( - _dummy_client, - TcpClientInferenceEnvRunner, +from ray.rllib.env.external.env_runner_server_for_external_inference import ( + EnvRunnerServerForExternalInference, +) +from ray.rllib.examples.envs.classes.utils.dummy_external_client import ( + _dummy_external_client, ) from ray.rllib.utils.test_utils import ( add_rllib_example_script_args, @@ -90,34 +91,44 @@ help="The port for RLlib's EnvRunner to listen to for incoming UE5 connections. " "You need to specify the same port inside your UE5 `RLlibClient` plugin.", ) +parser.add_argument( + "--use-dummy-client", + action="store_true", + help="If set, the script runs with its own external client acting as a " + "simulator. Otherwise connect on your own from your C++ application.", +) if __name__ == "__main__": args = parser.parse_args() - # Start the dummy CartPole client in a thread (and do its thing in parallel). - client_thread = threading.Thread( - target=partial( - _dummy_client, - port=args.port - + (args.num_env_runners if args.num_env_runners is not None else 1), - ), - ) - client_thread.start() + # Start the dummy CartPole "simulation". + if args.use_dummy_client: + threading.Thread( + target=_dummy_external_client, + args=( + # Connect to the first remote EnvRunner, of - if there is no remote one - + # to the local EnvRunner. + args.port + + (args.num_env_runners if args.num_env_runners is not None else 1), + ), + ).start() # Define the RLlib (server) config. base_config = ( get_trainable_cls(args.algo) .get_default_config() .environment( - observation_space=gym.spaces.Box(-1.0, 1.0, (4,), np.float32), + observation_space=gym.spaces.Box( + float("-inf"), float("-inf"), (4,), np.float32 + ), action_space=gym.spaces.Discrete(2), # EnvRunners listen on `port` + their worker index. env_config={"port": args.port}, ) .env_runners( # Point RLlib to the custom EnvRunner to be used here. - env_runner_cls=TcpClientInferenceEnvRunner, + env_runner_cls=EnvRunnerServerForExternalInference, ) .training( num_epochs=10, diff --git a/rllib/examples/envs/external_envs/cartpole_client.py b/rllib/examples/envs/external_envs/cartpole_client.py deleted file mode 100755 index d1ed0345f0a5..000000000000 --- a/rllib/examples/envs/external_envs/cartpole_client.py +++ /dev/null @@ -1,133 +0,0 @@ -#!/usr/bin/env python - -# TODO (sven): Move this example script into the new API stack. - -""" -Example of running an external simulator (a simple CartPole env -in this case) against an RLlib policy server listening on one or more -HTTP-speaking port(s). See `cartpole_server.py` in this same directory for -how to start this server. - -This script will only create one single env altogether to illustrate -that RLlib can run w/o needing an internalized environment. - -Setup: -1) Start the policy server: - See `cartpole_server.py` on how to do this. -2) Run this client: - $ python cartpole_client.py --inference-mode=local|remote --[other options] - Use --help for help. - -In "local" inference-mode, the action computations are performed -inside the PolicyClient used in this script w/o sending an HTTP request -to the server. This reduces network communication overhead, but requires -the PolicyClient to create its own RolloutWorker (+Policy) based on -the server's config. The PolicyClient will retrieve this config automatically. -You do not need to define the RLlib config dict here! - -In "remote" inference mode, the PolicyClient will send action requests to the -server and not compute its own actions locally. The server then performs the -inference forward pass and returns the action to the client. - -In either case, the user of PolicyClient must: -- Declare new episodes and finished episodes to the PolicyClient. -- Log rewards to the PolicyClient. -- Call `get_action` to receive an action from the PolicyClient (whether it'd be - computed locally or remotely). -- Besides `get_action`, the user may let the PolicyClient know about - off-policy actions having been taken via `log_action`. This can be used in - combination with `get_action`, but will only work, if the connected server - runs an off-policy RL algorithm (such as DQN, SAC, or DDPG). -""" - -import argparse -import gymnasium as gym - -from ray.rllib.env.policy_client import PolicyClient -from ray._common.network_utils import build_address - -parser = argparse.ArgumentParser() -parser.add_argument( - "--no-train", action="store_true", help="Whether to disable training." -) -parser.add_argument( - "--inference-mode", type=str, default="local", choices=["local", "remote"] -) -parser.add_argument( - "--off-policy", - action="store_true", - help="Whether to compute random actions instead of on-policy " - "(Policy-computed) ones.", -) -parser.add_argument( - "--stop-reward", - type=float, - default=9999, - help="Stop once the specified reward is reached.", -) -parser.add_argument( - "--port", type=int, default=9900, help="The port to use (on localhost)." -) - -if __name__ == "__main__": - args = parser.parse_args() - - # The following line is the only instance, where an actual env will - # be created in this entire example (including the server side!). - # This is to demonstrate that RLlib does not require you to create - # unnecessary env objects within the PolicyClient/Server objects, but - # that only this following env and the loop below runs the entire - # training process. - env = gym.make("CartPole-v1") - - # If server has n workers, all ports between 9900 and 990[n-1] should - # be listened on. E.g. if server has num_env_runners=2, try 9900 or 9901. - # Note that no config is needed in this script as it will be defined - # on and sent from the server. - client = PolicyClient( - f"http://{build_address('localhost', args.port)}", - inference_mode=args.inference_mode, - ) - - # In the following, we will use our external environment (the CartPole - # env we created above) in connection with the PolicyClient to query - # actions (from the server if "remote"; if "local" we'll compute them - # on this client side), and send back observations and rewards. - - # Start a new episode. - obs, info = env.reset() - eid = client.start_episode(training_enabled=not args.no_train) - - rewards = 0.0 - while True: - # Compute an action randomly (off-policy) and log it. - if args.off_policy: - action = env.action_space.sample() - client.log_action(eid, obs, action) - # Compute an action locally or remotely (on server). - # No need to log it here as the action - else: - action = client.get_action(eid, obs) - - # Perform a step in the external simulator (env). - obs, reward, terminated, truncated, info = env.step(action) - rewards += reward - - # Log next-obs, rewards, and infos. - client.log_returns(eid, reward, info=info) - - # Reset the episode if done. - if terminated or truncated: - print("Total reward:", rewards) - if rewards >= args.stop_reward: - print("Target reward achieved, exiting") - exit(0) - - rewards = 0.0 - - # End the old episode. - client.end_episode(eid, obs) - - # Start a new episode. - obs, info = env.reset() - eid = client.start_episode(training_enabled=not args.no_train) diff --git a/rllib/examples/envs/external_envs/cartpole_server.py b/rllib/examples/envs/external_envs/cartpole_server.py deleted file mode 100755 index 65d86b14ef3e..000000000000 --- a/rllib/examples/envs/external_envs/cartpole_server.py +++ /dev/null @@ -1,278 +0,0 @@ -#!/usr/bin/env python - -# TODO (sven): Move this example script into the new API stack. - -""" -Example of running an RLlib policy server, allowing connections from -external environment running clients. The server listens on -(a simple CartPole env -in this case) against an RLlib policy server listening on one or more -HTTP-speaking ports. See `cartpole_client.py` in this same directory for how -to start any number of clients (after this server has been started). - -This script will not create any actual env to illustrate that RLlib can -run w/o needing an internalized environment. - -Setup: -1) Start this server: - $ python cartpole_server.py --num-workers --[other options] - Use --help for help. -2) Run n policy clients: - See `cartpole_client.py` on how to do this. - -The `num-workers` setting will allow you to distribute the incoming feed over n -listen sockets (in this example, between 9900 and 990n with n=worker_idx-1). -You may connect more than one policy client to any open listen port. -""" - -import argparse -import gymnasium as gym -import os - -import ray -from ray import tune -from ray.rllib.env.policy_server_input import PolicyServerInput -from ray.rllib.utils.metrics import ( - ENV_RUNNER_RESULTS, - EPISODE_RETURN_MEAN, - NUM_ENV_STEPS_SAMPLED_LIFETIME, -) -from ray.tune.logger import pretty_print -from ray.tune.registry import get_trainable_cls -from ray.tune.result import TRAINING_ITERATION - -SERVER_ADDRESS = "localhost" -# In this example, the user can run the policy server with -# n workers, opening up listen ports 9900 - 990n (n = num_env_runners - 1) -# to each of which different clients may connect. -SERVER_BASE_PORT = 9900 # + worker-idx - 1 - -CHECKPOINT_FILE = "last_checkpoint_{}.out" - - -def get_cli_args(): - """Create CLI parser and return parsed arguments""" - parser = argparse.ArgumentParser() - - # Example-specific args. - parser.add_argument( - "--port", - type=int, - default=SERVER_BASE_PORT, - help="The base-port to use (on localhost). " f"Default is {SERVER_BASE_PORT}.", - ) - parser.add_argument( - "--callbacks-verbose", - action="store_true", - help="Activates info-messages for different events on " - "server/client (episode steps, postprocessing, etc..).", - ) - parser.add_argument( - "--num-workers", - type=int, - default=2, - help="The number of workers to use. Each worker will create " - "its own listening socket for incoming experiences.", - ) - parser.add_argument( - "--no-restore", - action="store_true", - help="Do not restore from a previously saved checkpoint (location of " - "which is saved in `last_checkpoint_[algo-name].out`).", - ) - - # General args. - parser.add_argument( - "--run", - default="PPO", - choices=["APEX", "DQN", "IMPALA", "PPO", "R2D2"], - help="The RLlib-registered algorithm to use.", - ) - parser.add_argument("--num-cpus", type=int, default=3) - parser.add_argument( - "--framework", - choices=["tf", "tf2", "torch"], - default="torch", - help="The DL framework specifier.", - ) - parser.add_argument( - "--use-lstm", - action="store_true", - help="Whether to auto-wrap the model with an LSTM. Only valid option for " - "--run=[IMPALA|PPO|R2D2]", - ) - parser.add_argument( - "--stop-iters", type=int, default=200, help="Number of iterations to train." - ) - parser.add_argument( - "--stop-timesteps", - type=int, - default=500000, - help="Number of timesteps to train.", - ) - parser.add_argument( - "--stop-reward", - type=float, - default=80.0, - help="Reward at which we stop training.", - ) - parser.add_argument( - "--as-test", - action="store_true", - help="Whether this script should be run as a test: --stop-reward must " - "be achieved within --stop-timesteps AND --stop-iters.", - ) - parser.add_argument( - "--no-tune", - action="store_true", - help="Run without Tune using a manual train loop instead. Here," - "there is no TensorBoard support.", - ) - parser.add_argument( - "--local-mode", - action="store_true", - help="Init Ray in local mode for easier debugging.", - ) - - args = parser.parse_args() - print(f"Running with following CLI args: {args}") - return args - - -if __name__ == "__main__": - args = get_cli_args() - ray.init() - - # `InputReader` generator (returns None if no input reader is needed on - # the respective worker). - def _input(ioctx): - # We are remote worker or we are local worker with num_env_runners=0: - # Create a PolicyServerInput. - if ioctx.worker_index > 0 or ioctx.worker.num_workers == 0: - return PolicyServerInput( - ioctx, - SERVER_ADDRESS, - args.port + ioctx.worker_index - (1 if ioctx.worker_index > 0 else 0), - ) - # No InputReader (PolicyServerInput) needed. - else: - return None - - # Algorithm config. Note that this config is sent to the client only in case - # the client needs to create its own policy copy for local inference. - config = ( - get_trainable_cls(args.run).get_default_config() - # Indicate that the Algorithm we setup here doesn't need an actual env. - # Allow spaces to be determined by user (see below). - .environment( - env=None, - # TODO: (sven) make these settings unnecessary and get the information - # about the env spaces from the client. - observation_space=gym.spaces.Box(float("-inf"), float("inf"), (4,)), - action_space=gym.spaces.Discrete(2), - ) - # DL framework to use. - .framework(args.framework) - # Use the `PolicyServerInput` to generate experiences. - .offline_data(input_=_input) - # Use n worker processes to listen on different ports. - .env_runners( - num_env_runners=args.num_workers, - # Connectors are not compatible with the external env. - enable_connectors=False, - ) - # Disable OPE, since the rollouts are coming from online clients. - .evaluation(off_policy_estimation_methods={}) - # Set to INFO so we'll see the server's actual address:port. - .debugging(log_level="INFO") - ) - # Disable RLModules because they need connectors - - # DQN. - if args.run == "DQN" or args.run == "APEX" or args.run == "R2D2": - # Example of using DQN (supports off-policy actions). - config.update_from_dict( - { - "num_steps_sampled_before_learning_starts": 100, - "min_sample_timesteps_per_iteration": 200, - "n_step": 3, - "rollout_fragment_length": 4, - "train_batch_size": 8, - } - ) - config.model.update( - { - "fcnet_hiddens": [64], - "fcnet_activation": "linear", - } - ) - if args.run == "R2D2": - config.model["use_lstm"] = args.use_lstm - - elif args.run == "IMPALA": - config.update_from_dict( - { - "num_gpus": 0, - "model": {"use_lstm": args.use_lstm}, - } - ) - - # PPO. - else: - # Example of using PPO (does NOT support off-policy actions). - config.update_from_dict( - { - "rollout_fragment_length": 1000, - "train_batch_size": 4000, - "model": {"use_lstm": args.use_lstm}, - } - ) - - checkpoint_path = CHECKPOINT_FILE.format(args.run) - # Attempt to restore from checkpoint, if possible. - if not args.no_restore and os.path.exists(checkpoint_path): - checkpoint_path = open(checkpoint_path).read() - else: - checkpoint_path = None - - # Manual training loop (no Ray tune). - if args.no_tune: - algo = config.build() - - if checkpoint_path: - print("Restoring from checkpoint path", checkpoint_path) - algo.restore(checkpoint_path) - - # Serving and training loop. - ts = 0 - for _ in range(args.stop_iters): - results = algo.train() - print(pretty_print(results)) - checkpoint = algo.save().checkpoint - print("Last checkpoint", checkpoint) - with open(checkpoint_path, "w") as f: - f.write(checkpoint.path) - if ( - results[ENV_RUNNER_RESULTS][EPISODE_RETURN_MEAN] >= args.stop_reward - or ts >= args.stop_timesteps - ): - break - ts += results[f"{NUM_ENV_STEPS_SAMPLED_LIFETIME}"] - - algo.stop() - - # Run with Tune for auto env and algo creation and TensorBoard. - else: - print("Ignoring restore even if previous checkpoint is provided...") - - stop = { - TRAINING_ITERATION: args.stop_iters, - NUM_ENV_STEPS_SAMPLED_LIFETIME: args.stop_timesteps, - f"{ENV_RUNNER_RESULTS}/{EPISODE_RETURN_MEAN}": args.stop_reward, - } - - tune.Tuner( - args.run, - param_space=config, - run_config=tune.RunConfig(stop=stop, verbose=2), - ).fit() diff --git a/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py b/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py deleted file mode 100644 index 8f201d5e01c0..000000000000 --- a/rllib/examples/envs/external_envs/dummy_client_with_two_episodes.py +++ /dev/null @@ -1,95 +0,0 @@ -#!/usr/bin/env python - -# TODO (sven): Move this example script into the new API stack. - -""" -For testing purposes only. -Runs a policy client that starts two episodes, uses one for calculating actions -("action episode") and the other for logging those actions ("logging episode"). -Terminates the "logging episode" before computing a few more actions -from the "action episode". -The action episode is also started with the training_enabled=False flag so no -batches should be produced by this episode for training inside the -SampleCollector's `postprocess_trajectory` method. -""" - -import argparse -import gymnasium as gym -import ray - -from ray.rllib.env.policy_client import PolicyClient -from ray._common.network_utils import build_address - -parser = argparse.ArgumentParser() -parser.add_argument( - "--inference-mode", type=str, default="local", choices=["local", "remote"] -) -parser.add_argument( - "--off-policy", - action="store_true", - help="Whether to compute random actions instead of on-policy " - "(Policy-computed) ones.", -) -parser.add_argument( - "--port", type=int, default=9900, help="The port to use (on localhost)." -) -parser.add_argument("--dummy-arg", type=str, default="") - - -if __name__ == "__main__": - args = parser.parse_args() - - ray.init() - - # Use a CartPole-v1 env so this plays nicely with our cartpole server script. - env = gym.make("CartPole-v1") - - # Note that the RolloutWorker that is generated inside the client (in case - # of local inference) will contain only a RandomEnv dummy env to step through. - # The actual env we care about is the above generated CartPole one. - client = PolicyClient( - f"http://{build_address('localhost', args.port)}", - inference_mode=args.inference_mode, - ) - - # Get a dummy obs - dummy_obs, dummy_infos = env.reset() - dummy_reward = 1.3 - - # Start an episode to only compute actions (do NOT record this episode's - # trajectories in any returned SampleBatches sent to the server for learning). - action_eid = client.start_episode(training_enabled=False) - print(f"Starting action episode: {action_eid}.") - # Get some actions using the action episode - dummy_action = client.get_action(action_eid, dummy_obs) - print(f"Computing action 1 in action episode: {dummy_action}.") - dummy_action = client.get_action(action_eid, dummy_obs) - print(f"Computing action 2 in action episode: {dummy_action}.") - - # Start a log episode to log action and log rewards for learning. - log_eid = client.start_episode(training_enabled=True) - print(f"Starting logging episode: {log_eid}.") - # Produce an action, just for testing. - garbage_action = client.get_action(log_eid, dummy_obs) - # Log 1 action and 1 reward. - client.log_action(log_eid, dummy_obs, dummy_action) - client.log_returns(log_eid, dummy_reward) - print(f".. logged action + reward: {dummy_action} + {dummy_reward}") - - # Log 2 actions (w/o reward in the middle) and then one reward. - # The reward after the 1st of these actions should be considered 0.0. - client.log_action(log_eid, dummy_obs, dummy_action) - client.log_action(log_eid, dummy_obs, dummy_action) - client.log_returns(log_eid, dummy_reward) - print(f".. logged actions + reward: 2x {dummy_action} + {dummy_reward}") - - # End the log episode - client.end_episode(log_eid, dummy_obs) - print(".. ended logging episode") - - # Continue getting actions using the action episode - # The bug happens when executing the following line - dummy_action = client.get_action(action_eid, dummy_obs) - print(f"Computing action 3 in action episode: {dummy_action}.") - dummy_action = client.get_action(action_eid, dummy_obs) - print(f"Computing action 4 in action episode: {dummy_action}.") diff --git a/rllib/examples/envs/external_envs/unity3d_client.py b/rllib/examples/envs/external_envs/unity3d_client.py deleted file mode 100644 index 4160836d8f2c..000000000000 --- a/rllib/examples/envs/external_envs/unity3d_client.py +++ /dev/null @@ -1,133 +0,0 @@ -# TODO (sven): Move this example script into the new API stack. - -""" -Example of running a Unity3D client instance against an RLlib Policy server. -Unity3D clients can be run in distributed fashion on n nodes in the cloud -and all connect to the same RLlib server for faster sample collection. -For a locally running Unity3D example, see: -`examples/unity3d_env_local.py` - -To run this script on possibly different machines -against a central Policy server: -1) Install Unity3D and `pip install mlagents`. - -2) Compile a Unity3D example game with MLAgents support (e.g. 3DBall or any - other one that you created yourself) and place the compiled binary - somewhere, where your RLlib client script (see below) can access it. - -2.1) To find Unity3D MLAgent examples, first `pip install mlagents`, - then check out the `.../ml-agents/Project/Assets/ML-Agents/Examples/` - folder. - -3) Change your RLlib Policy server code so it knows the observation- and - action Spaces, the different Policies (called "behaviors" in Unity3D - MLAgents), and Agent-to-Policy mappings for your particular game. - Alternatively, use one of the two already existing setups (3DBall or - SoccerStrikersVsGoalie). - -4) Then run (two separate shells/machines): -$ python unity3d_server.py --env 3DBall -$ python unity3d_client.py --inference-mode=local --game [path to game binary] -""" - -import argparse - -from ray.rllib.env.policy_client import PolicyClient -from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv -from ray._common.network_utils import build_address - -SERVER_ADDRESS = "localhost" -SERVER_PORT = 9900 - -parser = argparse.ArgumentParser() -parser.add_argument( - "--game", - type=str, - default=None, - help="The game executable to run as RL env. If not provided, uses local " - "Unity3D editor instance.", -) -parser.add_argument( - "--horizon", - type=int, - default=200, - help="The max. number of `step()`s for any episode (per agent) before " - "it'll be reset again automatically.", -) -parser.add_argument( - "--server", - type=str, - default=SERVER_ADDRESS, - help="The Policy server's address to connect to from this client.", -) -parser.add_argument( - "--port", type=int, default=SERVER_PORT, help="The port to use (on --server)." -) -parser.add_argument( - "--no-train", - action="store_true", - help="Whether to disable training (on the server side).", -) -parser.add_argument( - "--inference-mode", - type=str, - default="local", - choices=["local", "remote"], - help="Whether to compute actions `local`ly or `remote`ly. Note that " - "`local` is much faster b/c observations/actions do not have to be " - "sent via the network.", -) -parser.add_argument( - "--update-interval-local-mode", - type=float, - default=10.0, - help="For `inference-mode=local`, every how many seconds do we update " - "learnt policy weights from the server?", -) -parser.add_argument( - "--stop-reward", - type=float, - default=9999, - help="Stop once the specified reward is reached.", -) - -if __name__ == "__main__": - args = parser.parse_args() - - # Start the client for sending environment information (e.g. observations, - # actions) to a policy server (listening on port 9900). - client = PolicyClient( - f"http://{build_address(args.server, args.port)}", - inference_mode=args.inference_mode, - update_interval=args.update_interval_local_mode, - ) - - # Start and reset the actual Unity3DEnv (either already running Unity3D - # editor or a binary (game) to be started automatically). - env = Unity3DEnv(file_name=args.game, episode_horizon=args.horizon) - obs, info = env.reset() - eid = client.start_episode(training_enabled=not args.no_train) - - # Keep track of the total reward per episode. - total_rewards_this_episode = 0.0 - - # Loop infinitely through the env. - while True: - # Get actions from the Policy server given our current obs. - actions = client.get_action(eid, obs) - # Apply actions to our env. - obs, rewards, terminateds, truncateds, infos = env.step(actions) - total_rewards_this_episode += sum(rewards.values()) - # Log rewards and single-agent terminateds. - client.log_returns(eid, rewards, infos, multiagent_done_dict=terminateds) - # Check whether all agents are done and end the episode, if necessary. - if terminateds["__all__"] or truncateds["__all__"]: - print("Episode done: Reward={}".format(total_rewards_this_episode)) - if total_rewards_this_episode >= args.stop_reward: - quit(0) - # End the episode and reset Unity Env. - total_rewards_this_episode = 0.0 - client.end_episode(eid, obs) - obs, info = env.reset() - # Start a new episode. - eid = client.start_episode(training_enabled=not args.no_train) diff --git a/rllib/examples/envs/external_envs/unity3d_dummy_client.py b/rllib/examples/envs/external_envs/unity3d_dummy_client.py deleted file mode 100644 index 58b723c61349..000000000000 --- a/rllib/examples/envs/external_envs/unity3d_dummy_client.py +++ /dev/null @@ -1,160 +0,0 @@ -# TODO (sven): Move this example script into the new API stack. - -""" -Dummy in-place replacement for the unity3d_client.py script -in case you don't have an actual Unity3D engine installed or just want -to test client/server connectivity with the unity3d_server.py script. - -This client script simply uses RLlib's RandomMultiAgentEnv to mimic -one of the ML Agents (Unity3D) example games (e.g. "3DBall"). - -To run this script on possibly different machines -against a central Policy server: - -1) Run (two separate shells/machines): -$ python unity3d_server.py --env 3DBall -$ python unity3d_dummy_client.py --env 3DBall --inference-mode=local -""" - -import argparse - -from ray.rllib.env.policy_client import PolicyClient -from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv -from ray.rllib.examples.envs.classes.random_env import RandomMultiAgentEnv -from ray._common.network_utils import build_address - -SERVER_ADDRESS = "localhost" -SERVER_PORT = 9900 - -parser = argparse.ArgumentParser() -parser.add_argument( - "--env", - type=str, - default="3DBall", - choices=[ - "3DBall", - "3DBallHard", - "FoodCollector", - "GridFoodCollector", - "Pyramids", - "Sorter", - "Tennis", - "VisualHallway", - "Walker", - ], - help="The name of the Env to mimic. Only those examples supported so " - "far for which all agents have the same " - "observation- and action spaces (feel free to add more to this script!)", -) -parser.add_argument( - "--horizon", - type=int, - default=200, - help="The max. number of `step()`s for any episode (per agent) before " - "it'll be reset again automatically.", -) -parser.add_argument( - "--server", - type=str, - default=SERVER_ADDRESS, - help="The Policy server's address to connect to from this client.", -) -parser.add_argument( - "--port", type=int, default=SERVER_PORT, help="The port to use (on --server)." -) -parser.add_argument( - "--no-train", - action="store_true", - help="Whether to disable training (on the server side).", -) -parser.add_argument( - "--inference-mode", - type=str, - default="local", - choices=["local", "remote"], - help="Whether to compute actions `local`ly or `remote`ly. Note that " - "`local` is much faster b/c observations/actions do not have to be " - "sent via the network.", -) -parser.add_argument( - "--update-interval-local-mode", - type=float, - default=10.0, - help="For `inference-mode=local`, every how many seconds do we update " - "learnt policy weights from the server?", -) -parser.add_argument( - "--num-episodes", - type=int, - default=10, - help="Stop once the specified number of episodes have been played.", -) - -if __name__ == "__main__": - args = parser.parse_args() - - # Start the client for sending environment information (e.g. observations, - # actions) to a policy server (listening on port 9900). - client = PolicyClient( - f"http://{build_address(args.server, args.port)}", - inference_mode=args.inference_mode, - update_interval=args.update_interval_local_mode, - ) - - # Get the multi-agent policies dict and agent->policy - # mapping-fn. - policies, policy_mapping_fn = Unity3DEnv.get_policy_configs_for_game(args.env) - - # Make sure all policies' obs- and action spaces are the same. - # If not, we won't be able to mimic the Unity3D env using RLlib's - # RandomMultiAgentEnv. - first_policy_spec = next(iter(policies.values())) - for pid, policy_spec in policies.items(): - assert policy_spec.observation_space == first_policy_spec.observation_space - assert policy_spec.action_space == first_policy_spec.action_space - - # Start and reset the actual Unity3DEnv (either already running Unity3D - # editor or a binary (game) to be started automatically). - env = RandomMultiAgentEnv( - { - # Same number of agents as the actual Unity3D game would have. - "num_agents": len(policies), - # Make sure we stick to the user given horizons using our - # RandomMultiAgentEnv options. - "max_episode_len": args.horizon, - "p_terminated": 0.0, - # Same obs- action spaces as the actual Unity3D game would have. - "observation_space": first_policy_spec.observation_space, - "action_space": first_policy_spec.action_space, - } - ) - obs, info = env.reset() - eid = client.start_episode(training_enabled=not args.no_train) - - # Keep track of the total reward per episode. - total_rewards_this_episode = 0.0 - - # Loop through the env until n episodes completed. - num_episodes = 0 - while True: - # Get actions from the Policy server given our current obs. - actions = client.get_action(eid, obs) - # Apply actions to our env. - obs, rewards, terminateds, truncateds, infos = env.step(actions) - total_rewards_this_episode += sum(rewards.values()) - # Log rewards and single-agent terminateds. - client.log_returns(eid, rewards, infos, multiagent_done_dict=terminateds) - # Check whether all agents are done and end the episode, if necessary. - if terminateds["__all__"] or truncateds["__all__"]: - print("Episode done: Reward={}".format(total_rewards_this_episode)) - - num_episodes += 1 - if num_episodes >= args.num_episodes: - quit(0) - - # End the episode and reset dummy Env. - total_rewards_this_episode = 0.0 - client.end_episode(eid, obs) - obs, info = env.reset() - # Start a new episode. - eid = client.start_episode(training_enabled=not args.no_train) diff --git a/rllib/examples/envs/external_envs/unity3d_server.py b/rllib/examples/envs/external_envs/unity3d_server.py deleted file mode 100755 index 4457102877e1..000000000000 --- a/rllib/examples/envs/external_envs/unity3d_server.py +++ /dev/null @@ -1,178 +0,0 @@ -# TODO (sven): Move this example script into the new API stack. - -""" -Example of running a Unity3D (MLAgents) Policy server that can learn -Policies via sampling inside many connected Unity game clients (possibly -running in the cloud on n nodes). -For a locally running Unity3D example, see: -`examples/unity3d_env_local.py` - -To run this script against one or more possibly cloud-based clients: -1) Install Unity3D and `pip install mlagents`. - -2) Compile a Unity3D example game with MLAgents support (e.g. 3DBall or any - other one that you created yourself) and place the compiled binary - somewhere, where your RLlib client script (see below) can access it. - -2.1) To find Unity3D MLAgent examples, first `pip install mlagents`, - then check out the `.../ml-agents/Project/Assets/ML-Agents/Examples/` - folder. - -3) Change this RLlib Policy server code so it knows the observation- and - action Spaces, the different Policies (called "behaviors" in Unity3D - MLAgents), and Agent-to-Policy mappings for your particular game. - Alternatively, use one of the two already existing setups (3DBall or - SoccerStrikersVsGoalie). - -4) Then run (two separate shells/machines): -$ python unity3d_server.py --env 3DBall -$ python unity3d_client.py --inference-mode=local --game [path to game binary] -""" - -import argparse -import gymnasium as gym -import os - -import ray -from ray.rllib.env.policy_server_input import PolicyServerInput -from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv -from ray.tune.registry import get_trainable_cls - -SERVER_ADDRESS = "localhost" -SERVER_PORT = 9900 -CHECKPOINT_FILE = "last_checkpoint_{}.out" - -parser = argparse.ArgumentParser() -parser.add_argument( - "--run", - default="PPO", - choices=["DQN", "PPO"], - help="The RLlib-registered algorithm to use.", -) -parser.add_argument( - "--framework", - choices=["tf", "tf2", "torch"], - default="torch", - help="The DL framework specifier.", -) -parser.add_argument( - "--num-workers", - type=int, - default=2, - help="The number of workers to use. Each worker will create " - "its own listening socket for incoming experiences.", -) -parser.add_argument( - "--env", - type=str, - default="3DBall", - choices=[ - "3DBall", - "3DBallHard", - "FoodCollector", - "GridFoodCollector", - "Pyramids", - "SoccerStrikersVsGoalie", - "Sorter", - "Tennis", - "VisualHallway", - "Walker", - ], - help="The name of the Env to run in the Unity3D editor " - "(feel free to add more to this script!)", -) -parser.add_argument( - "--port", - type=int, - default=SERVER_PORT, - help="The Policy server's port to listen on for ExternalEnv client conections.", -) -parser.add_argument( - "--checkpoint-freq", - type=int, - default=10, - help="The frequency with which to create checkpoint files of the learnt " - "Policies.", -) -parser.add_argument( - "--no-restore", - action="store_true", - help="Whether to load the Policy weights from a previous checkpoint", -) - -if __name__ == "__main__": - args = parser.parse_args() - ray.init() - - # `InputReader` generator (returns None if no input reader is needed on - # the respective worker). - def _input(ioctx): - # We are remote worker or we are local worker with num_env_runners=0: - # Create a PolicyServerInput. - if ioctx.worker_index > 0 or ioctx.worker.num_workers == 0: - return PolicyServerInput( - ioctx, - SERVER_ADDRESS, - args.port + ioctx.worker_index - (1 if ioctx.worker_index > 0 else 0), - ) - # No InputReader (PolicyServerInput) needed. - else: - return None - - # Get the multi-agent policies dict and agent->policy - # mapping-fn. - policies, policy_mapping_fn = Unity3DEnv.get_policy_configs_for_game(args.env) - - # The entire config will be sent to connecting clients so they can - # build their own samplers (and also Policy objects iff - # `inference_mode=local` on clients' command line). - config = ( - get_trainable_cls(args.run) - .get_default_config() - # DL framework to use. - .framework(args.framework) - # Use n worker processes to listen on different ports. - .env_runners( - num_env_runners=args.num_workers, - rollout_fragment_length=20, - ) - .environment( - env=None, - # TODO: (sven) make these settings unnecessary and get the information - # about the env spaces from the client. - observation_space=gym.spaces.Box(float("-inf"), float("inf"), (8,)), - action_space=gym.spaces.Box(-1.0, 1.0, (2,)), - ) - .training(train_batch_size=256) - # Multi-agent setup for the given env. - .multi_agent(policies=policies, policy_mapping_fn=policy_mapping_fn) - # Use the `PolicyServerInput` to generate experiences. - .offline_data(input_=_input) - # Disable OPE, since the rollouts are coming from online clients. - .evaluation(off_policy_estimation_methods={}) - ) - - # Create the Algorithm used for Policy serving. - algo = config.build() - - # Attempt to restore from checkpoint if possible. - checkpoint_path = CHECKPOINT_FILE.format(args.env) - if not args.no_restore and os.path.exists(checkpoint_path): - checkpoint_path = open(checkpoint_path).read() - print("Restoring from checkpoint path", checkpoint_path) - algo.restore(checkpoint_path) - - # Serving and training loop. - count = 0 - while True: - # Calls to train() will block on the configured `input` in the Algorithm - # config above (PolicyServerInput). - print(algo.train()) - if count % args.checkpoint_freq == 0: - print("Saving learning progress to checkpoint file.") - checkpoint = algo.save().checkpoint - # Write the latest checkpoint location to CHECKPOINT_FILE, - # so we can pick up from the latest one after a server re-start. - with open(checkpoint_path, "w") as f: - f.write(checkpoint.path) - count += 1 diff --git a/rllib/utils/checkpoints.py b/rllib/utils/checkpoints.py index 43c522cfc565..99cd5ef3846f 100644 --- a/rllib/utils/checkpoints.py +++ b/rllib/utils/checkpoints.py @@ -1036,7 +1036,8 @@ def try_import_msgpack(error: bool = False): error: Whether to raise an error if msgpack/msgpack_numpy cannot be imported. Returns: - The `msgpack` module. + The `msgpack` module, with the msgpack_numpy module already patched in. This + means you can already encde and decode numpy arrays with the returned module. Raises: ImportError: If error=True and msgpack/msgpack_numpy is not installed. From 4ead3ddd7bb4731221e61b184ff06e79dfab91c0 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 11 Aug 2025 14:08:54 -0700 Subject: [PATCH 0615/1566] [Data] Deprecate `with_columns` API in favor of `with_column` (#55475) Applies changes again reverted by ray-project/ray#55451 Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 29 +++++++------ python/ray/data/expressions.py | 8 ++-- python/ray/data/tests/test_map.py | 71 +++++++++++++++---------------- 3 files changed, 53 insertions(+), 55 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index c2a3f0184854..8766434c425a 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -783,31 +783,31 @@ def _map_batches_without_batch_size_validation( return Dataset(plan, logical_plan) @PublicAPI(api_group=EXPRESSION_API_GROUP, stability="alpha") - def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": + def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Dataset": """ - Add new columns to the dataset. + Add a new column to the dataset via an expression. Examples: >>> import ray >>> from ray.data.expressions import col >>> ds = ray.data.range(100) - >>> ds.with_columns({"new_id": col("id") * 2, "new_id_2": col("id") * 3}).schema() - Column Type - ------ ---- - id int64 - new_id int64 - new_id_2 int64 + >>> ds.with_column("id_2", (col("id") * 2)).schema() + Column Type + ------ ---- + id int64 + id_2 int64 Args: - exprs: A dictionary mapping column names to expressions that define the new column values. + column_name: The name of the new column. + expr: An expression that defines the new column values. + **ray_remote_args: Additional resource requirements to request from + Ray (e.g., num_gpus=1 to request GPUs for the map tasks). See + :func:`ray.remote` for details. Returns: - A new dataset with the added columns evaluated via expressions. + A new dataset with the added column evaluated via the expression. """ - if not exprs: - raise ValueError("at least one expression is required") - from ray.data._internal.logical.operators.map_operator import Project plan = self._plan.copy() @@ -815,7 +815,8 @@ def with_columns(self, exprs: Dict[str, Expr]) -> "Dataset": self._logical_plan.dag, cols=None, cols_rename=None, - exprs=exprs, + exprs={column_name: expr}, + ray_remote_args=ray_remote_args, ) logical_plan = LogicalPlan(project_op, self.context) return Dataset(plan, logical_plan) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index cf59aa30b5e0..3ba8f48356da 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -259,10 +259,10 @@ def col(name: str) -> ColumnExpr: >>> # Reference columns in an expression >>> expr = col("price") * col("quantity") >>> - >>> # Use with Dataset.with_columns() + >>> # Use with Dataset.with_column() >>> import ray >>> ds = ray.data.from_items([{"price": 10, "quantity": 2}]) - >>> ds = ds.with_columns({"total": col("price") * col("quantity")}) + >>> ds = ds.with_column("total", col("price") * col("quantity")) """ return ColumnExpr(name) @@ -293,10 +293,10 @@ def lit(value: Any) -> LiteralExpr: >>> # Use in expressions >>> expr = col("age") + lit(1) # Add 1 to age column >>> - >>> # Use with Dataset.with_columns() + >>> # Use with Dataset.with_column() >>> import ray >>> ds = ray.data.from_items([{"age": 25}, {"age": 30}]) - >>> ds = ds.with_columns({"age_plus_one": col("age") + lit(1)}) + >>> ds = ds.with_column("age_plus_one", col("age") + lit(1)) """ return LiteralExpr(value) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 6c3f9c6d4a37..0bfb35f68f17 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -2286,52 +2286,53 @@ def func(x, y): @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) @pytest.mark.parametrize( - "exprs, expected_value", + "column_name, expr, expected_value", [ # Arithmetic operations - ({"result": col("id") + 1}, 1), # 0 + 1 = 1 - ({"result": col("id") + 5}, 5), # 0 + 5 = 5 - ({"result": col("id") - 1}, -1), # 0 - 1 = -1 - ({"result": col("id") * 2}, 0), # 0 * 2 = 0 - ({"result": col("id") * 3}, 0), # 0 * 3 = 0 - ({"result": col("id") / 2}, 0.0), # 0 / 2 = 0.0 + ("result", col("id") + 1, 1), # 0 + 1 = 1 + ("result", col("id") + 5, 5), # 0 + 5 = 5 + ("result", col("id") - 1, -1), # 0 - 1 = -1 + ("result", col("id") * 2, 0), # 0 * 2 = 0 + ("result", col("id") * 3, 0), # 0 * 3 = 0 + ("result", col("id") / 2, 0.0), # 0 / 2 = 0.0 # More complex arithmetic - ({"result": (col("id") + 1) * 2}, 2), # (0 + 1) * 2 = 2 - ({"result": (col("id") * 2) + 3}, 3), # 0 * 2 + 3 = 3 + ("result", (col("id") + 1) * 2, 2), # (0 + 1) * 2 = 2 + ("result", (col("id") * 2) + 3, 3), # 0 * 2 + 3 = 3 # Comparison operations - ({"result": col("id") > 0}, False), # 0 > 0 = False - ({"result": col("id") >= 0}, True), # 0 >= 0 = True - ({"result": col("id") < 1}, True), # 0 < 1 = True - ({"result": col("id") <= 0}, True), # 0 <= 0 = True - ({"result": col("id") == 0}, True), # 0 == 0 = True + ("result", col("id") > 0, False), # 0 > 0 = False + ("result", col("id") >= 0, True), # 0 >= 0 = True + ("result", col("id") < 1, True), # 0 < 1 = True + ("result", col("id") <= 0, True), # 0 <= 0 = True + ("result", col("id") == 0, True), # 0 == 0 = True # Operations with literals - ({"result": col("id") + lit(10)}, 10), # 0 + 10 = 10 - ({"result": col("id") * lit(5)}, 0), # 0 * 5 = 0 - ({"result": lit(2) + col("id")}, 2), # 2 + 0 = 2 - ({"result": lit(10) / (col("id") + 1)}, 10.0), # 10 / (0 + 1) = 10.0 + ("result", col("id") + lit(10), 10), # 0 + 10 = 10 + ("result", col("id") * lit(5), 0), # 0 * 5 = 0 + ("result", lit(2) + col("id"), 2), # 2 + 0 = 2 + ("result", lit(10) / (col("id") + 1), 10.0), # 10 / (0 + 1) = 10.0 ], ) -def test_with_columns( +def test_with_column( ray_start_regular_shared, - exprs, + column_name, + expr, expected_value, target_max_block_size_infinite_or_default, ): - """Verify that `with_columns` works with various operations.""" - ds = ray.data.range(5).with_columns(exprs) + """Verify that `with_column` works with various operations.""" + ds = ray.data.range(5).with_column(column_name, expr) result = ds.take(1)[0] assert result["id"] == 0 - assert result["result"] == expected_value + assert result[column_name] == expected_value @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) -def test_with_columns_nonexistent_column( +def test_with_column_nonexistent_column( ray_start_regular_shared, target_max_block_size_infinite_or_default ): """Verify that referencing a non-existent column with col() raises an exception.""" @@ -2340,26 +2341,22 @@ def test_with_columns_nonexistent_column( # Try to reference a non-existent column - this should raise an exception with pytest.raises(UserCodeException): - ds.with_columns({"result": col("nonexistent_column") + 1}).materialize() + ds.with_column("result", col("nonexistent_column") + 1).materialize() @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), - reason="with_columns requires PyArrow >= 20.0.0", + reason="with_column requires PyArrow >= 20.0.0", ) -def test_with_columns_multiple_expressions( +def test_with_column_multiple_expressions( ray_start_regular_shared, target_max_block_size_infinite_or_default ): - """Verify that `with_columns` correctly handles multiple expressions at once.""" + """Verify that `with_column` correctly handles multiple expressions at once.""" ds = ray.data.range(5) - exprs = { - "plus_one": col("id") + 1, - "times_two": col("id") * 2, - "ten_minus_id": 10 - col("id"), - } - - ds = ds.with_columns(exprs) + ds = ds.with_column("plus_one", col("id") + 1) + ds = ds.with_column("times_two", col("id") * 2) + ds = ds.with_column("ten_minus_id", 10 - col("id")) first_row = ds.take(1)[0] assert first_row["id"] == 0 From b802bd56af749d820f3b9e3762674277a05cbbf6 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 11 Aug 2025 16:17:38 -0500 Subject: [PATCH 0616/1566] Disable gemini code review summary (#55488) Copied [default config](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github#default-configuration), but disabled summary (not useful). --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .gemini/config.yaml | 10 ++++++++++ .github/CODEOWNERS | 2 ++ 2 files changed, 12 insertions(+) create mode 100644 .gemini/config.yaml diff --git a/.gemini/config.yaml b/.gemini/config.yaml new file mode 100644 index 000000000000..9add3a6c8058 --- /dev/null +++ b/.gemini/config.yaml @@ -0,0 +1,10 @@ +have_fun: false +code_review: + disable: false + comment_severity_threshold: MEDIUM + max_review_comments: -1 + pull_request_opened: + help: false + summary: false + code_review: true +ignore_patterns: [] diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index f692cfbe2ef4..723c50deedda 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -108,3 +108,5 @@ /.github/ISSUE_TEMPLATE/ @aslonnie /.github/workflows/ @ray-project/ray-ci + +/.gemini/ @edoakes @aslonnie From 01bca4e38e94680ad423e3f2bd0c4424b2dbc051 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 11 Aug 2025 14:52:09 -0700 Subject: [PATCH 0617/1566] [ci] raydepsets: first step of build arg substitution for depsets (#55399) Branched from : https://github.com/ray-project/ray/pull/55390 performing substitutions on depsets with build arg set matrices **Top level build arg sets** build_arg_sets: - name: py311_cpu build_args: CUDA_VERSION: cpu PYTHON_VERSION: py311 **build arg set matrix defined on depset** - name: build_args_test_depset_${PYTHON_VERSION} operation: compile requirements: - requirements_test.txt output: requirements_compiled_general_${PYTHON_VERSION}_${CUDA_VERSION}.txt build_arg_sets: - py311_cpu --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/tests/test_cli.py | 35 +++++++-- .../tests/test_data/test.depsets.yaml | 7 ++ ci/raydepsets/tests/test_workspace.py | 30 +++++++- ci/raydepsets/workspace.py | 73 ++++++++++++++----- 4 files changed, 121 insertions(+), 24 deletions(-) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 2aac8e132af3..5ee194f96e88 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -333,8 +333,9 @@ def test_build_graph(self): copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert manager.build_graph is not None - assert len(manager.build_graph.nodes()) == 5 + assert len(manager.build_graph.nodes()) == 6 assert len(manager.build_graph.edges()) == 3 + # assert that the compile depsets are first assert manager.build_graph.nodes["general_depset"]["operation"] == "compile" assert ( manager.build_graph.nodes["subset_general_depset"]["operation"] @@ -344,11 +345,11 @@ def test_build_graph(self): manager.build_graph.nodes["expand_general_depset"]["operation"] == "expand" ) - sorted_nodes = list(topological_sort(manager.build_graph)) - assert sorted_nodes[0] == "ray_base_test_depset" - assert sorted_nodes[1] == "general_depset" - assert sorted_nodes[2] == "expanded_depset" + # assert that the root nodes are the compile depsets + assert "ray_base_test_depset" in sorted_nodes[:3] + assert "general_depset" in sorted_nodes[:3] + assert "build_args_test_depset_py311" in sorted_nodes[:3] def test_build_graph_bad_operation(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -452,6 +453,30 @@ def test_expand_with_requirements(self): output_text_valid = output_file_valid.read_text() assert output_text == output_text_valid + def test_get_depset_with_build_arg_set(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.depsets.yaml", + workspace_dir=tmpdir, + ) + depset = manager.get_depset("build_args_test_depset_py311") + assert depset.name == "build_args_test_depset_py311" + assert depset.build_arg_set.name == "py311_cpu" + assert depset.build_arg_set.build_args["PYTHON_VERSION"] == "py311" + assert depset.build_arg_set.build_args["CUDA_VERSION"] == "cpu" + + def test_get_depset_without_build_arg_set(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.depsets.yaml", + workspace_dir=tmpdir, + ) + depset = manager.get_depset("ray_base_test_depset") + assert depset.name == "ray_base_test_depset" + assert depset.build_arg_set is None + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/tests/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml index 5ebd0485746e..c5385b541887 100644 --- a/ci/raydepsets/tests/test_data/test.depsets.yaml +++ b/ci/raydepsets/tests/test_data/test.depsets.yaml @@ -21,6 +21,13 @@ depsets: requirements: - requirements_test.txt output: requirements_compiled_general.txt + - name: build_args_test_depset_${PYTHON_VERSION} + operation: compile + requirements: + - requirements_test.txt + output: requirements_compiled_general_${PYTHON_VERSION}_${CUDA_VERSION}.txt + build_arg_sets: + - py311_cpu - name: subset_general_depset operation: subset source_depset: general_depset diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index cc3ded45abef..2f2429e44a64 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -5,7 +5,7 @@ import pytest from ci.raydepsets.tests.utils import copy_data_to_tmpdir -from ci.raydepsets.workspace import Workspace +from ci.raydepsets.workspace import BuildArgSet, Workspace, _substitute_build_args def test_workspace_init(): @@ -31,5 +31,33 @@ def test_parse_build_arg_sets(): } +def test_from_dict_build_arg_set_matrix(): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + workspace = Workspace(dir=tmpdir) + config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") + config.build_arg_sets[0].build_args["PYTHON_VERSION"] = "py312" + config.build_arg_sets[0].build_args["CUDA_VERSION"] = "cu128" + + +def test_substitute_build_args(): + build_arg_set = BuildArgSet( + name="py311_cpu", + build_args={ + "PYTHON_VERSION": "py311", + "CUDA_VERSION": "cu128", + }, + ) + depset_dict = { + "name": "test_depset_${PYTHON_VERSION}_${CUDA_VERSION}", + "operation": "compile", + "requirements": ["requirements_test.txt"], + "output": "requirements_compiled_test_${PYTHON_VERSION}_${CUDA_VERSION}.txt", + } + substituted_depset = _substitute_build_args(depset_dict, build_arg_set) + assert substituted_depset["output"] == "requirements_compiled_test_py311_cu128.txt" + assert substituted_depset["name"] == "test_depset_py311_cu128" + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 647b2127e1ca..ccfced7b9052 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -1,6 +1,7 @@ import os from dataclasses import dataclass, field -from typing import List, Optional +from string import Template +from typing import Any, Dict, List, Optional import yaml @@ -8,7 +9,7 @@ @dataclass class BuildArgSet: name: str - build_args: List[str] + build_args: Dict[str, str] @dataclass @@ -22,6 +23,38 @@ class Depset: append_flags: List[str] source_depset: Optional[str] = None depsets: Optional[List[str]] = None + build_arg_set: Optional[BuildArgSet] = None + + +def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): + if isinstance(obj, str): + return Template(obj).substitute(build_arg_set.build_args) + elif isinstance(obj, dict): + return { + key: _substitute_build_args(value, build_arg_set) + for key, value in obj.items() + } + elif isinstance(obj, list): + return [_substitute_build_args(item, build_arg_set) for item in obj] + else: + return obj + + +def _dict_to_depset( + depset: dict, build_arg_set: Optional[BuildArgSet] = None +) -> Depset: + return Depset( + name=depset.get("name"), + requirements=depset.get("requirements", []), + constraints=depset.get("constraints", []), + operation=depset.get("operation", None), + output=depset.get("output"), + source_depset=depset.get("source_depset"), + depsets=depset.get("depsets", []), + build_arg_set=build_arg_set, + override_flags=depset.get("override_flags", []), + append_flags=depset.get("append_flags", []), + ) @dataclass @@ -31,23 +64,27 @@ class Config: @staticmethod def from_dict(data: dict) -> "Config": - raw_depsets = data.get("depsets", []) - depsets = [ - Depset( - name=values.get("name"), - requirements=values.get("requirements", []), - constraints=values.get("constraints", []), - operation=values.get("operation", "compile"), - output=values.get("output"), - source_depset=values.get("source_depset"), - override_flags=values.get("override_flags", []), - append_flags=values.get("append_flags", []), - depsets=values.get("depsets", []), - ) - for values in raw_depsets - ] - build_arg_sets = Config.parse_build_arg_sets(data.get("build_arg_sets", [])) + raw_depsets = data.get("depsets", []) + depsets = [] + for depset in raw_depsets: + build_arg_set_matrix = depset.get("build_arg_sets", []) + if build_arg_set_matrix: + for build_arg_set_name in build_arg_set_matrix: + build_arg_set = next( + ( + build_arg_set + for build_arg_set in build_arg_sets + if build_arg_set.name == build_arg_set_name + ), + None, + ) + if build_arg_set is None: + raise KeyError(f"Build arg set {build_arg_set_name} not found") + depset_yaml = _substitute_build_args(depset, build_arg_set) + depsets.append(_dict_to_depset(depset_yaml, build_arg_set)) + else: + depsets.append(_dict_to_depset(depset=depset)) return Config(depsets=depsets, build_arg_sets=build_arg_sets) @staticmethod From c181c950d81850ad77c1263caa01aaa5fdeb535f Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 11 Aug 2025 14:55:15 -0700 Subject: [PATCH 0618/1566] [release] Move logic to check whether to build custom BYOD image (#55470) The logic should be outside of this function. This PR: - Moves the logic to outside of the func for every place that calls it. - Turns the arg to be 3 separate ones so they can be called without a Test object (in order to do things like https://github.com/ray-project/ray/pull/55398 where Test object doesn't exist) - Change the logic in another spot that calls `build_anyscale_custom_byod_image` that was missed last time in https://github.com/ray-project/ray/pull/55397 which caused release test pipeline to fail Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/ray_release/byod/build.py | 20 +++++++++---------- release/ray_release/scripts/build_pipeline.py | 7 ++++++- release/ray_release/scripts/ray_bisect.py | 7 ++++++- release/ray_release/tests/test_byod_build.py | 6 +++++- 4 files changed, 26 insertions(+), 14 deletions(-) diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 14e9bb43311a..62ae1d62f3b3 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -30,13 +30,11 @@ REQUIREMENTS_ML_BYOD = "requirements_ml_byod" -def build_anyscale_custom_byod_image(test: Test) -> None: - if not test.require_custom_byod_image(): - logger.info(f"Test {test.get_name()} does not require a custom byod image") - return - byod_image = test.get_anyscale_byod_image() - if _image_exist(byod_image): - logger.info(f"Image {byod_image} already exists") +def build_anyscale_custom_byod_image( + image: str, base_image: str, post_build_script: str +) -> None: + if _image_exist(image): + logger.info(f"Image {image} already exists") return env = os.environ.copy() @@ -47,11 +45,11 @@ def build_anyscale_custom_byod_image(test: Test) -> None: "build", "--progress=plain", "--build-arg", - f"BASE_IMAGE={test.get_anyscale_base_byod_image()}", + f"BASE_IMAGE={base_image}", "--build-arg", - f"POST_BUILD_SCRIPT={test.get_byod_post_build_script()}", + f"POST_BUILD_SCRIPT={post_build_script}", "-t", - byod_image, + image, "-f", os.path.join(RELEASE_BYOD_DIR, "byod.custom.Dockerfile"), RELEASE_BYOD_DIR, @@ -59,7 +57,7 @@ def build_anyscale_custom_byod_image(test: Test) -> None: stdout=sys.stderr, env=env, ) - _validate_and_push(byod_image) + _validate_and_push(image) def build_anyscale_base_byod_images(tests: List[Test]) -> None: diff --git a/release/ray_release/scripts/build_pipeline.py b/release/ray_release/scripts/build_pipeline.py index 29e448d8f4fd..9b6ff71adc1f 100644 --- a/release/ray_release/scripts/build_pipeline.py +++ b/release/ray_release/scripts/build_pipeline.py @@ -127,7 +127,12 @@ def main( build_anyscale_base_byod_images(tests) logger.info("Build anyscale custom BYOD images") for test in tests: - build_anyscale_custom_byod_image(test) + if test.require_custom_byod_image(): + build_anyscale_custom_byod_image( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) grouped_tests = group_tests(filtered_tests) group_str = "" diff --git a/release/ray_release/scripts/ray_bisect.py b/release/ray_release/scripts/ray_bisect.py index 15ebd4c9d396..257519d620e4 100644 --- a/release/ray_release/scripts/ray_bisect.py +++ b/release/ray_release/scripts/ray_bisect.py @@ -178,7 +178,12 @@ def _trigger_test_run( ) -> None: os.environ["COMMIT_TO_TEST"] = commit build_anyscale_base_byod_images([test]) - build_anyscale_custom_byod_image(test) + if test.require_custom_byod_image(): + build_anyscale_custom_byod_image( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) for run in range(run_per_commit): step = get_step( copy.deepcopy(test), # avoid mutating the original test diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 7da9d5449a69..920b2c826e36 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -68,7 +68,11 @@ def _mock_check_call( name="name", cluster={"byod": {"post_build_script": "foo.sh"}}, ) - build_anyscale_custom_byod_image(test) + build_anyscale_custom_byod_image( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) assert "docker build --build-arg BASE_IMAGE=029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37 -t 029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:abc123-py37-c3fc5fc6d84cea4d7ab885c6cdc966542e" From 0056594d79c58f2053646ddf68b38e67db5751e5 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Mon, 11 Aug 2025 15:17:14 -0700 Subject: [PATCH 0619/1566] [Core][TaskEventFollowup/02] Fix Feedback for the Task Event Content & Configuration (#55300) This PR fixed feedback from internal teams about the content of the event & update configuration of the feature, to help better use the feature. To be specific: Event content changes: Add session name to the base events Add the following fields to the definition event: language, actor task name only for actor definition event, task type only for task definition event Remove the user error info from the execution events. This is because today the RayErrorInfo already covers the user error information when the RayErrorInfo is with type TASK_EXECUTION_EXCEPTION Remove the actor task execution event and use task execution event for all task execution. This is because with the above changes, the fields in task execution event and the actor task execution event are exactly the same. Configuration: Improve the coordination between enabling the current export API and the new event sending mechanism. The logic updated to: if ray event to event aggregator is set, ignore the old export event env var. The old export event mechanism will only be enabled if the ray event to event aggregator config is set to false. Signed-off-by: Mengjin Yan Signed-off-by: myan Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/_private/node.py | 2 +- python/ray/_private/parameter.py | 2 +- python/ray/_private/services.py | 4 +- python/ray/_private/worker.py | 2 +- python/ray/_private/workers/default_worker.py | 4 +- python/ray/autoscaler/_private/autoscaler.py | 2 +- python/ray/autoscaler/v2/autoscaler.py | 2 +- python/ray/dashboard/agent.py | 2 +- .../modules/aggregator/aggregator_agent.py | 1 + .../aggregator/tests/test_aggregator_agent.py | 98 ++++++++----------- .../modules/event/tests/test_export_task.py | 1 + python/ray/tests/test_metrics_agent.py | 3 +- src/ray/core_worker/core_worker.cc | 6 +- src/ray/core_worker/core_worker_options.h | 2 +- src/ray/core_worker/core_worker_process.cc | 3 +- src/ray/core_worker/task_event_buffer.cc | 50 +++++----- src/ray/core_worker/task_event_buffer.h | 33 +++++-- .../test/scheduling_queue_test.cc | 22 +++++ .../task_execution/test/task_receiver_test.cc | 12 +++ src/ray/core_worker/test/core_worker_test.cc | 3 +- .../task_event_buffer_export_event_test.cc | 7 +- .../test/task_event_buffer_test.cc | 5 +- src/ray/core_worker/test/task_manager_test.cc | 12 +++ .../gcs_server/gcs_autoscaler_state_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_server_main.cc | 4 +- src/ray/protobuf/BUILD.bazel | 15 --- src/ray/protobuf/autoscaler.proto | 2 +- .../events_actor_task_definition_event.proto | 18 ++-- .../events_actor_task_execution_event.proto | 43 -------- src/ray/protobuf/events_base_event.proto | 13 ++- .../events_task_definition_event.proto | 19 ++-- .../events_task_execution_event.proto | 10 +- src/ray/raylet/main.cc | 2 +- src/ray/rpc/event_aggregator_client.h | 1 - 34 files changed, 203 insertions(+), 204 deletions(-) delete mode 100644 src/ray/protobuf/events_actor_task_execution_event.proto diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index b11a4664400a..3465f995529b 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -553,7 +553,7 @@ def node_id(self): @property def session_name(self): - """Get the session name (cluster ID).""" + """Get the current Ray session name.""" return self._session_name @property diff --git a/python/ray/_private/parameter.py b/python/ray/_private/parameter.py index 7f415c391b0d..eb78bd86f510 100644 --- a/python/ray/_private/parameter.py +++ b/python/ray/_private/parameter.py @@ -114,7 +114,7 @@ class RayParams: worker available externally to the node it is running on. This will bind on 0.0.0.0 instead of localhost. env_vars: Override environment variables for the raylet. - session_name: The name of the session of the ray cluster. + session_name: The current Ray session name. webui: The url of the UI. cluster_id: The cluster ID in hex string. resource_isolation_config: settings for cgroupv2 based isolation of ray diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index 6785a78c571f..3abe99bf23b4 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1469,7 +1469,7 @@ def start_gcs_server( If None, stdout is not redirected. stderr_filepath: The file path to dump gcs server stderr. If None, stderr is not redirected. - session_name: The session name (cluster id) of this cluster. + session_name: The current Ray session name. redis_username: The username of the Redis server. redis_password: The password of the Redis server. config: Optional configuration that will @@ -1606,7 +1606,7 @@ def start_raylet( fallback_directory: A directory where the Object store fallback files will be created. object_store_memory: The amount of memory (in bytes) to start the object store with. - session_name: The session name (cluster id) of this cluster. + session_name: The current Ray session name. resource_isolation_config: Resource isolation configuration for reserving memory and cpu resources for ray system processes through cgroupv2 is_head_node: whether this node is the head node. diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 37879b15ba25..e3eeee3f84ad 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -2394,7 +2394,7 @@ def connect( Args: node (ray._private.node.Node): The node to connect. - session_name: The session name (cluster id) of this cluster. + session_name: The current Ray session name. mode: The mode of the worker. One of SCRIPT_MODE, WORKER_MODE, and LOCAL_MODE. log_to_driver: If true, then output from all of the worker processes on all nodes will be directed to the driver. diff --git a/python/ray/_private/workers/default_worker.py b/python/ray/_private/workers/default_worker.py index 03ea6e456e24..9859d9d15f7e 100644 --- a/python/ray/_private/workers/default_worker.py +++ b/python/ray/_private/workers/default_worker.py @@ -165,7 +165,9 @@ action="store_true", help="True if Ray debugger is made available externally.", ) -parser.add_argument("--session-name", required=False, help="The current session name") +parser.add_argument( + "--session-name", required=False, help="The current Ray session name" +) parser.add_argument( "--webui", required=False, diff --git a/python/ray/autoscaler/_private/autoscaler.py b/python/ray/autoscaler/_private/autoscaler.py index e352479b9308..8fbd8fc60960 100644 --- a/python/ray/autoscaler/_private/autoscaler.py +++ b/python/ray/autoscaler/_private/autoscaler.py @@ -207,7 +207,7 @@ def __init__( config_reader: Path to a Ray Autoscaler YAML, or a function to read and return the latest config. load_metrics: Provides metrics for the Ray cluster. - session_name: The session name of the cluster this autoscaler + session_name: The current Ray session name when this autoscaler is deployed. max_launch_batch: Max number of nodes to launch in one request. max_concurrent_launches: Max number of nodes that can be diff --git a/python/ray/autoscaler/v2/autoscaler.py b/python/ray/autoscaler/v2/autoscaler.py index c55646a46d8e..82de748a1f5f 100644 --- a/python/ray/autoscaler/v2/autoscaler.py +++ b/python/ray/autoscaler/v2/autoscaler.py @@ -55,7 +55,7 @@ def __init__( ) -> None: """ Args: - session_name: The name of the ray session. + session_name: The current Ray session name. config_reader: The config reader. gcs_client: The GCS client. event_logger: The event logger for emitting cluster events. diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 9302f020e898..85ac9f05f503 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -371,7 +371,7 @@ async def wait_forever(): required=False, type=str, default=None, - help="The session name (cluster id) of this cluster.", + help="The current Ray session name.", ) parser.add_argument( "--stdout-filepath", diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 97ba70bfabe8..4499116a6b2a 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -202,6 +202,7 @@ def _receive_events(self, request): try: self._event_buffer.put_nowait(event) except queue.Full: + # Remove the oldest event to make room for the new event. self._event_buffer.get_nowait() self._event_buffer.put_nowait(event) with self._lock: diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 94d29ab0840c..3020813227fd 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -1,6 +1,5 @@ import sys import json -import time import base64 import pytest @@ -40,6 +39,16 @@ def httpserver_listen_address(): return ("127.0.0.1", _EVENT_AGGREGATOR_AGENT_TARGET_PORT) +@pytest.fixture +def fake_timestamp(): + """ + Returns a fake proto timestamp and the expected timestamp string in the event JSON. + """ + test_time = 1751302230130457542 + seconds, nanos = divmod(test_time, 10**9) + return Timestamp(seconds=seconds, nanos=nanos), "2025-06-30T16:50:30.130457542Z" + + _with_aggregator_port = pytest.mark.parametrize( "ray_start_cluster_head_with_env_vars", [ @@ -79,7 +88,7 @@ def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): @_with_aggregator_port def test_aggregator_agent_receive_publish_events_normally( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( @@ -88,10 +97,6 @@ def test_aggregator_agent_receive_publish_events_normally( httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - test_time = 1751302230130457542 - seconds, nanos = divmod(test_time, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventsRequest( events_data=RayEventsData( events=[ @@ -99,7 +104,7 @@ def test_aggregator_agent_receive_publish_events_normally( event_id=b"1", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="hello", ), @@ -110,8 +115,7 @@ def test_aggregator_agent_receive_publish_events_normally( ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] @@ -123,7 +127,7 @@ def test_aggregator_agent_receive_publish_events_normally( assert req_json[0]["eventType"] == "TASK_DEFINITION_EVENT" assert req_json[0]["severity"] == "INFO" assert req_json[0]["message"] == "hello" - assert req_json[0]["timestamp"] == "2025-06-30T16:50:30.130457542Z" + assert req_json[0]["timestamp"] == fake_timestamp[1] @pytest.mark.parametrize( @@ -141,7 +145,7 @@ def test_aggregator_agent_receive_publish_events_normally( indirect=True, ) def test_aggregator_agent_receive_event_full( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( @@ -150,10 +154,6 @@ def test_aggregator_agent_receive_event_full( httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - test_time = 1751302230130457542 - seconds, nanos = divmod(test_time, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventsRequest( events_data=RayEventsData( events=[ @@ -161,7 +161,7 @@ def test_aggregator_agent_receive_event_full( event_id=b"2", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="hello", ), @@ -169,7 +169,7 @@ def test_aggregator_agent_receive_event_full( event_id=b"3", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="hello", ), @@ -180,8 +180,7 @@ def test_aggregator_agent_receive_event_full( ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] @@ -193,7 +192,7 @@ def test_aggregator_agent_receive_event_full( @_with_aggregator_port def test_aggregator_agent_receive_multiple_events( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( @@ -201,9 +200,6 @@ def test_aggregator_agent_receive_multiple_events( ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - now = time.time_ns() - seconds, nanos = divmod(now, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) request = AddEventsRequest( events_data=RayEventsData( events=[ @@ -211,7 +207,7 @@ def test_aggregator_agent_receive_multiple_events( event_id=b"4", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event1", ), @@ -219,7 +215,7 @@ def test_aggregator_agent_receive_multiple_events( event_id=b"5", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event2", ), @@ -229,8 +225,7 @@ def test_aggregator_agent_receive_multiple_events( ), ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) @@ -256,16 +251,13 @@ def test_aggregator_agent_receive_multiple_events( indirect=True, ) def test_aggregator_agent_receive_multiple_events_failures( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - now = time.time_ns() - seconds, nanos = divmod(now, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) request = AddEventsRequest( events_data=RayEventsData( events=[ @@ -273,7 +265,7 @@ def test_aggregator_agent_receive_multiple_events_failures( event_id=b"1", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event1", ), @@ -281,7 +273,7 @@ def test_aggregator_agent_receive_multiple_events_failures( event_id=b"2", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event2", ), @@ -289,15 +281,14 @@ def test_aggregator_agent_receive_multiple_events_failures( event_id=b"3", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event3", ), ], ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) @@ -322,13 +313,12 @@ def test_aggregator_agent_receive_empty_events( ), ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) @_with_aggregator_port def test_aggregator_agent_profile_events_not_exposed( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): """Test that profile events are not sent when not in exposable event types.""" cluster = ray_start_cluster_head_with_env_vars @@ -337,20 +327,15 @@ def test_aggregator_agent_profile_events_not_exposed( ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - - now = time.time_ns() - seconds, nanos = divmod(now, 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) - request = AddEventsRequest( events_data=RayEventsData( events=[ - _create_profile_event_request(), + _create_profile_event_request(fake_timestamp[0]), RayEvent( event_id=b"1", source_type=RayEvent.SourceType.CORE_WORKER, event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=timestamp, + timestamp=fake_timestamp[0], severity=RayEvent.Severity.INFO, message="event1", ), @@ -361,8 +346,7 @@ def test_aggregator_agent_profile_events_not_exposed( ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) # Wait for exactly one event to be received (the TASK_DEFINITION_EVENT) wait_for_condition(lambda: len(httpserver.log) == 1) @@ -391,7 +375,7 @@ def test_aggregator_agent_profile_events_not_exposed( indirect=True, ) def test_aggregator_agent_receive_profile_events( - ray_start_cluster_head_with_env_vars, httpserver + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( @@ -402,29 +386,25 @@ def test_aggregator_agent_receive_profile_events( request = AddEventsRequest( events_data=RayEventsData( - events=[_create_profile_event_request()], + events=[_create_profile_event_request(fake_timestamp[0])], task_events_metadata=TaskEventsMetadata( dropped_task_attempts=[], ), ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) - _verify_profile_event_json(req_json) + _verify_profile_event_json(req_json, fake_timestamp[1]) -def _create_profile_event_request(): +def _create_profile_event_request(timestamp): """Helper function to create a profile event request.""" - test_time = 1751302230130457542 - seconds, nanos = (test_time // 10**9, test_time % 10**9) - timestamp = Timestamp(seconds=seconds, nanos=nanos) return RayEvent( event_id=b"1", @@ -454,7 +434,7 @@ def _create_profile_event_request(): ) -def _verify_profile_event_json(req_json): +def _verify_profile_event_json(req_json, expected_timestamp): """Helper function to verify profile event JSON structure.""" assert len(req_json) == 1 assert req_json[0]["eventId"] == base64.b64encode(b"1").decode() @@ -462,7 +442,7 @@ def _verify_profile_event_json(req_json): assert req_json[0]["eventType"] == "TASK_PROFILE_EVENT" assert req_json[0]["severity"] == "INFO" assert req_json[0]["message"] == "profile event test" - assert req_json[0]["timestamp"] == "2025-06-30T16:50:30.130457542Z" + assert req_json[0]["timestamp"] == expected_timestamp # Verify task profile event specific fields assert "taskProfileEvents" in req_json[0] diff --git a/python/ray/dashboard/modules/event/tests/test_export_task.py b/python/ray/dashboard/modules/event/tests/test_export_task.py index 50b47601090c..6698ffa9703f 100644 --- a/python/ray/dashboard/modules/event/tests/test_export_task.py +++ b/python/ray/dashboard/modules/event/tests/test_export_task.py @@ -10,6 +10,7 @@ from ray.dashboard.tests.conftest import * # noqa os.environ["RAY_enable_export_api_write"] = "1" +os.environ["RAY_enable_core_worker_ray_event_to_aggregator"] = "0" @pytest.mark.asyncio diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index ad7d717619d0..b7494f52dc43 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -560,8 +560,7 @@ def test_case_value_correct(): ) ) - reply = stub.AddEvents(request) - assert reply is not None + stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) wait_for_condition(test_case_value_correct, timeout=30, retry_interval_ms=1000) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 634c82975e3b..d9b8fcbd292d 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -396,7 +396,8 @@ CoreWorker::CoreWorker( /*attempt_number=*/0, rpc::TaskStatus::RUNNING, /*timestamp=*/absl::GetCurrentTimeNanos(), - /*is_actor_task=*/false, + /*is_actor_task_event=*/false, + options_.session_name, std::make_shared(std::move(spec))); task_event_buffer_->AddTaskEvent(std::move(task_event)); } @@ -569,7 +570,8 @@ void CoreWorker::Disconnect( /*attempt_number=*/0, rpc::TaskStatus::FINISHED, /*timestamp=*/absl::GetCurrentTimeNanos(), - /*is_actor_task_event=*/worker_context_->GetCurrentActorID().IsNil()); + /*is_actor_task_event=*/worker_context_->GetCurrentActorID().IsNil(), + options_.session_name); task_event_buffer_->AddTaskEvent(std::move(task_event)); } diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 5c89fb56db49..72c108d759bb 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -203,7 +203,7 @@ struct CoreWorkerOptions { std::function(const ray::RayObject &object, const ObjectID &object_id)> object_allocator; - /// Session name (Cluster ID) of the cluster. + /// The current Ray session name. std::string session_name; std::string entrypoint; int64_t worker_launch_time_ms; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index a0b5109fc8da..348140770fab 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -175,7 +175,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto task_event_buffer = std::make_unique( std::make_unique(options.gcs_options), std::make_unique(options.metrics_agent_port, - *client_call_manager)); + *client_call_manager), + options.session_name); // Start the IO thread first to make sure the checker is working. boost::thread::attributes io_thread_attrs; diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 48348add2176..bfc85faad1f7 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -37,12 +37,14 @@ TaskStatusEvent::TaskStatusEvent( const rpc::TaskStatus &task_status, int64_t timestamp, bool is_actor_task_event, + std::string session_name, const std::shared_ptr &task_spec, std::optional state_update) : TaskEvent(task_id, job_id, attempt_number), task_status_(task_status), timestamp_(timestamp), is_actor_task_event_(is_actor_task_event), + session_name_(session_name), task_spec_(task_spec), state_update_(std::move(state_update)) {} @@ -181,6 +183,7 @@ void TaskStatusEvent::PopulateRpcRayTaskDefinitionEvent(T &definition_event_data definition_event_data.set_task_attempt(attempt_number_); // Common fields + definition_event_data.set_language(task_spec_->GetLanguage()); const auto &required_resources = task_spec_->GetRequiredResources().GetResourceMap(); definition_event_data.mutable_required_resources()->insert( std::make_move_iterator(required_resources.begin()), @@ -199,16 +202,18 @@ void TaskStatusEvent::PopulateRpcRayTaskDefinitionEvent(T &definition_event_data definition_event_data.mutable_actor_func()->CopyFrom( task_spec_->FunctionDescriptor()->GetMessage()); definition_event_data.set_actor_id(task_spec_->ActorId().Binary()); + definition_event_data.set_actor_task_name(task_spec_->GetName()); } else { definition_event_data.mutable_task_func()->CopyFrom( task_spec_->FunctionDescriptor()->GetMessage()); + definition_event_data.set_task_type(task_spec_->GetMessage().type()); definition_event_data.set_task_name(task_spec_->GetName()); } } -template void TaskStatusEvent::PopulateRpcRayTaskExecutionEvent( - T &execution_event_data, google::protobuf::Timestamp timestamp) { + rpc::events::TaskExecutionEvent &execution_event_data, + google::protobuf::Timestamp timestamp) { // Task identifier execution_event_data.set_task_id(task_id_.Binary()); execution_event_data.set_task_attempt(attempt_number_); @@ -257,19 +262,16 @@ void TaskStatusEvent::PopulateRpcRayEventBaseFields( ray_event.set_source_type(rpc::events::RayEvent::CORE_WORKER); ray_event.mutable_timestamp()->CopyFrom(timestamp); ray_event.set_severity(rpc::events::RayEvent::INFO); + ray_event.set_session_name(session_name_); - if (is_actor_task_event_) { - if (is_definition_event) { + if (is_definition_event) { + if (is_actor_task_event_) { ray_event.set_event_type(rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT); } else { - ray_event.set_event_type(rpc::events::RayEvent::ACTOR_TASK_EXECUTION_EVENT); - } - } else { - if (is_definition_event) { ray_event.set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); - } else { - ray_event.set_event_type(rpc::events::RayEvent::TASK_EXECUTION_EVENT); } + } else { + ray_event.set_event_type(rpc::events::RayEvent::TASK_EXECUTION_EVENT); } } @@ -298,15 +300,9 @@ void TaskStatusEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { : task_execution_event_rpc.emplace(), false, timestamp); - if (is_actor_task_event_) { - auto actor_task_execution_event = - task_execution_event_rpc.value().mutable_actor_task_execution_event(); - PopulateRpcRayTaskExecutionEvent(*actor_task_execution_event, timestamp); - } else { - auto task_execution_event = - task_execution_event_rpc.value().mutable_task_execution_event(); - PopulateRpcRayTaskExecutionEvent(*task_execution_event, timestamp); - } + auto task_execution_event = + task_execution_event_rpc.value().mutable_task_execution_event(); + PopulateRpcRayTaskExecutionEvent(*task_execution_event, timestamp); } void TaskProfileEvent::ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) { @@ -351,7 +347,7 @@ void TaskProfileEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { // to the new ray event format. } -bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( +bool TaskEventBufferImpl::RecordTaskStatusEventIfNeeded( const TaskID &task_id, const JobID &job_id, int32_t attempt_number, @@ -373,6 +369,7 @@ bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( status, /* timestamp */ absl::GetCurrentTimeNanos(), /*is_actor_task_event=*/spec.IsActorTask(), + session_name_, include_task_info ? std::make_shared(spec) : nullptr, std::move(state_update)); @@ -382,21 +379,28 @@ bool TaskEventBuffer::RecordTaskStatusEventIfNeeded( TaskEventBufferImpl::TaskEventBufferImpl( std::unique_ptr gcs_client, - std::unique_ptr event_aggregator_client) + std::unique_ptr event_aggregator_client, + std::string session_name) : work_guard_(boost::asio::make_work_guard(io_service_)), periodical_runner_(PeriodicalRunner::Create(io_service_)), gcs_client_(std::move(gcs_client)), - event_aggregator_client_(std::move(event_aggregator_client)) {} + event_aggregator_client_(std::move(event_aggregator_client)), + session_name_(session_name) {} TaskEventBufferImpl::~TaskEventBufferImpl() { Stop(); } Status TaskEventBufferImpl::Start(bool auto_flush) { absl::MutexLock lock(&mutex_); - export_event_write_enabled_ = TaskEventBufferImpl::IsExportAPIEnabledTask(); send_task_events_to_gcs_enabled_ = RayConfig::instance().enable_core_worker_task_event_to_gcs(); send_ray_events_to_aggregator_enabled_ = RayConfig::instance().enable_core_worker_ray_event_to_aggregator(); + + // We want to make sure that only one of the event export mechanism is enabled. And + // if both are enabled, we will use the event aggregator instead of the export API. + // This code will be removed when we deprecate the export API implementation. + export_event_write_enabled_ = !send_ray_events_to_aggregator_enabled_ && + TaskEventBufferImpl::IsExportAPIEnabledTask(); auto report_interval_ms = RayConfig::instance().task_events_report_interval_ms(); RAY_CHECK(report_interval_ms > 0) << "RAY_task_events_report_interval_ms should be > 0 to use TaskEventBuffer."; diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 131c905a35d1..5d68e1dc50db 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -150,6 +150,7 @@ class TaskStatusEvent : public TaskEvent { const rpc::TaskStatus &task_status, int64_t timestamp, bool is_actor_task_event, + std::string session_name, const std::shared_ptr &task_spec = nullptr, std::optional state_update = std::nullopt); @@ -175,17 +176,13 @@ class TaskStatusEvent : public TaskEvent { private: // Helper functions to populate the task definition event of rpc::events::RayEvent // This function assumes task_spec_ is not null. - // This function also checks T must be one of rpc::events::ActorTaskDefinitionEvent or - // rpc::events::TaskDefinitionEvent template void PopulateRpcRayTaskDefinitionEvent(T &definition_event_data); // Helper functions to populate the task execution event of rpc::events::RayEvent - // This function checks T must be one of rpc::events::ActorTaskExecutionEvent or - // rpc::events::TaskExecutionEvent - template - void PopulateRpcRayTaskExecutionEvent(T &execution_event_data, - google::protobuf::Timestamp timestamp); + void PopulateRpcRayTaskExecutionEvent( + rpc::events::TaskExecutionEvent &execution_event_data, + google::protobuf::Timestamp timestamp); // Helper functions to populate the base fields of rpc::events::RayEvent void PopulateRpcRayEventBaseFields(rpc::events::RayEvent &ray_event, @@ -198,6 +195,8 @@ class TaskStatusEvent : public TaskEvent { int64_t timestamp_ = -1; /// Whether the task is an actor task. bool is_actor_task_event_ = false; + /// The current Ray session name. + std::string session_name_; /// Pointer to the task spec. std::shared_ptr task_spec_ = nullptr; /// Optional task state update @@ -300,14 +299,15 @@ class TaskEventBuffer { /// \param status the changed status. /// \param state_update optional task state updates. /// \return true if the event is recorded, false otherwise. - bool RecordTaskStatusEventIfNeeded( + virtual bool RecordTaskStatusEventIfNeeded( const TaskID &task_id, const JobID &job_id, int32_t attempt_number, const TaskSpecification &spec, rpc::TaskStatus status, bool include_task_info = false, - std::optional state_update = absl::nullopt); + std::optional state_update = + absl::nullopt) = 0; /// Add a task event to be reported. /// @@ -367,13 +367,23 @@ class TaskEventBufferImpl : public TaskEventBuffer { /// \param event_aggregator_client Event aggregator client explicit TaskEventBufferImpl( std::unique_ptr gcs_client, - std::unique_ptr event_aggregator_client); + std::unique_ptr event_aggregator_client, + std::string session_name); TaskEventBufferImpl(const TaskEventBufferImpl &) = delete; TaskEventBufferImpl &operator=(const TaskEventBufferImpl &) = delete; ~TaskEventBufferImpl() override; + bool RecordTaskStatusEventIfNeeded(const TaskID &task_id, + const JobID &job_id, + int32_t attempt_number, + const TaskSpecification &spec, + rpc::TaskStatus status, + bool include_task_info = false, + std::optional + state_update = absl::nullopt) override; + void AddTaskEvent(std::unique_ptr task_event) ABSL_LOCKS_EXCLUDED(mutex_) override; @@ -566,6 +576,9 @@ class TaskEventBufferImpl : public TaskEventBuffer { /// If true, ray events from the event buffer are sent to the event aggregator bool send_ray_events_to_aggregator_enabled_ = false; + /// The current Ray session name. Passed in from the core worker + std::string session_name_ = ""; + FRIEND_TEST(TaskEventBufferTestManualStart, TestGcsClientFail); FRIEND_TEST(TaskEventBufferTestBatchSendDifferentDestination, TestBatchedSend); FRIEND_TEST(TaskEventBufferTest, TestAddEvents); diff --git a/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc index 057fde36ec89..32752abc4ee3 100644 --- a/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc +++ b/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc @@ -61,6 +61,28 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { std::string DebugString() override { return ""; } + bool RecordTaskStatusEventIfNeeded( + const TaskID &task_id, + const JobID &job_id, + int32_t attempt_number, + const TaskSpecification &spec, + rpc::TaskStatus status, + bool include_task_info, + std::optional state_update) + override { + AddTaskEvent(std::make_unique( + task_id, + job_id, + attempt_number, + status, + /* timestamp */ absl::GetCurrentTimeNanos(), + /*is_actor_task_event=*/spec.IsActorTask(), + "test-session-name", + include_task_info ? std::make_shared(spec) : nullptr, + std::move(state_update))); + return true; + } + std::vector> task_events; }; diff --git a/src/ray/core_worker/task_execution/test/task_receiver_test.cc b/src/ray/core_worker/task_execution/test/task_receiver_test.cc index 915299250fc8..ee1d2bfa7d8b 100644 --- a/src/ray/core_worker/task_execution/test/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/test/task_receiver_test.cc @@ -107,6 +107,18 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { bool Enabled() const override { return true; } + bool RecordTaskStatusEventIfNeeded( + const TaskID &task_id, + const JobID &job_id, + int32_t attempt_number, + const TaskSpecification &spec, + rpc::TaskStatus status, + bool include_task_info, + std::optional state_update) + override { + return true; + } + std::string DebugString() override { return ""; } }; diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc index 1a667638c64d..78e4fef68a24 100644 --- a/src/ray/core_worker/test/core_worker_test.cc +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -142,7 +142,8 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { auto task_event_buffer = std::make_unique( std::make_unique(), - std::make_unique(0, *client_call_manager)); + std::make_unique(0, *client_call_manager), + "test_session"); auto task_manager = std::make_shared( *memory_store_, diff --git a/src/ray/core_worker/test/task_event_buffer_export_event_test.cc b/src/ray/core_worker/test/task_event_buffer_export_event_test.cc index e3f76d3a1e83..9e6345bd9582 100644 --- a/src/ray/core_worker/test/task_event_buffer_export_event_test.cc +++ b/src/ray/core_worker/test/task_event_buffer_export_event_test.cc @@ -63,13 +63,15 @@ class TaskEventTestWriteExport : public ::testing::Test { "task_events_send_batch_size": 100, "export_task_events_write_batch_size": 1, "task_events_max_num_export_status_events_buffer_on_worker": 15, - "enable_export_api_write": true + "enable_export_api_write": true, + "enable_core_worker_ray_event_to_aggregator": false } )"); task_event_buffer_ = std::make_unique( std::make_unique(), - std::make_unique()); + std::make_unique(), + "test_session_name"); } virtual void SetUp() { RAY_CHECK_OK(task_event_buffer_->Start(/*auto_flush*/ false)); } @@ -99,6 +101,7 @@ class TaskEventTestWriteExport : public ::testing::Test { rpc::TaskStatus::RUNNING, running_ts, /*is_actor_task_event=*/false, + "test_session_name", nullptr, state_update); } diff --git a/src/ray/core_worker/test/task_event_buffer_test.cc b/src/ray/core_worker/test/task_event_buffer_test.cc index 462a940c3dab..b57467f5e3d2 100644 --- a/src/ray/core_worker/test/task_event_buffer_test.cc +++ b/src/ray/core_worker/test/task_event_buffer_test.cc @@ -91,7 +91,8 @@ class TaskEventBufferTest : public ::testing::Test { task_event_buffer_ = std::make_unique( std::make_unique(), - std::make_unique()); + std::make_unique(), + "test_session_name"); } virtual void SetUp() { RAY_CHECK_OK(task_event_buffer_->Start(/*auto_flush*/ false)); } @@ -156,6 +157,7 @@ class TaskEventBufferTest : public ::testing::Test { rpc::TaskStatus::RUNNING, 1, /*is_actor_task_event=*/false, + "test_session_name", std::make_shared(task_spec), status_update); } @@ -172,6 +174,7 @@ class TaskEventBufferTest : public ::testing::Test { rpc::TaskStatus::RUNNING, running_ts, /*is_actor_task_event=*/false, + "test_session_name", nullptr, state_update); } diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 9be48562a797..64e5ef03d29c 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -120,6 +120,18 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { MOCK_METHOD(bool, Enabled, (), (const, override)); MOCK_METHOD(std::string, DebugString, (), (override)); + + MOCK_METHOD( + bool, + RecordTaskStatusEventIfNeeded, + (const TaskID &task_id, + const JobID &job_id, + int32_t attempt_number, + const TaskSpecification &spec, + rpc::TaskStatus status, + bool include_task_info, + std::optional state_update), + (override)); }; class TaskManagerTest : public ::testing::Test { diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index e37d582fb630..b57cc5c46626 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -172,7 +172,7 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateHandler /// TODO: Implement the function void CancelInfeasibleRequests() const; - // Ray cluster session name. + // The current Ray session name. const std::string session_name_; /// Gcs node manager that provides node status information. diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 2bf2366a2626..74c371cb4201 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -42,9 +42,7 @@ DEFINE_string(redis_username, "", "The username of Redis."); DEFINE_string(redis_password, "", "The password of Redis."); DEFINE_bool(retry_redis, false, "Whether to retry to connect to Redis."); DEFINE_string(node_ip_address, "", "The IP address of the node."); -DEFINE_string(session_name, - "", - "session_name: The session name (ClusterID) of the cluster."); +DEFINE_string(session_name, "", "session_name: The current Ray session name."); DEFINE_string(ray_commit, "", "The commit hash of Ray."); int main(int argc, char *argv[]) { diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index d1bf2f6f2b66..a4b1f3c61ff4 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -451,20 +451,6 @@ cc_proto_library( deps = [":events_actor_task_definition_event_proto"], ) -proto_library( - name = "events_actor_task_execution_event_proto", - srcs = ["events_actor_task_execution_event.proto"], - deps = [ - ":common_proto", - "@com_google_protobuf//:timestamp_proto", - ], -) - -cc_proto_library( - name = "events_actor_task_execution_event_cc_proto", - deps = [":events_actor_task_execution_event_proto"], -) - proto_library( name = "events_task_definition_event_proto", srcs = ["events_task_definition_event.proto"], @@ -511,7 +497,6 @@ proto_library( srcs = ["events_base_event.proto"], deps = [ ":events_actor_task_definition_event_proto", - ":events_actor_task_execution_event_proto", ":events_task_definition_event_proto", ":events_task_execution_event_proto", ":events_task_profile_events_proto", diff --git a/src/ray/protobuf/autoscaler.proto b/src/ray/protobuf/autoscaler.proto index 9ad2ef7b191c..6666e131828c 100644 --- a/src/ray/protobuf/autoscaler.proto +++ b/src/ray/protobuf/autoscaler.proto @@ -214,7 +214,7 @@ message ClusterResourceState { // There could be multiple constraints issued by different // jobs. Autoscaler to make sure all constraints are satisfied. repeated ClusterResourceConstraint cluster_resource_constraints = 6; - // The cluster session name. + // The current Ray session name. string cluster_session_name = 7; } diff --git a/src/ray/protobuf/events_actor_task_definition_event.proto b/src/ray/protobuf/events_actor_task_definition_event.proto index 4aa26e561fd9..c201c1602804 100644 --- a/src/ray/protobuf/events_actor_task_definition_event.proto +++ b/src/ray/protobuf/events_actor_task_definition_event.proto @@ -27,15 +27,17 @@ message ActorTaskDefinitionEvent { int32 task_attempt = 2; // The actor task definition information. - FunctionDescriptor actor_func = 3; - map required_resources = 5; - RuntimeEnvInfo runtime_env_info = 6; + Language language = 3; + FunctionDescriptor actor_func = 4; + string actor_task_name = 5; + map required_resources = 6; + RuntimeEnvInfo runtime_env_info = 7; // The correlation ids of the task that can be used to correlate the task with // other events. - bytes job_id = 7; - bytes actor_id = 8; - bytes parent_task_id = 9; - bytes placement_group_id = 10; - map ref_ids = 11; + bytes job_id = 8; + bytes actor_id = 9; + bytes parent_task_id = 10; + bytes placement_group_id = 11; + map ref_ids = 12; } diff --git a/src/ray/protobuf/events_actor_task_execution_event.proto b/src/ray/protobuf/events_actor_task_execution_event.proto deleted file mode 100644 index 3e7ae892c769..000000000000 --- a/src/ray/protobuf/events_actor_task_execution_event.proto +++ /dev/null @@ -1,43 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -syntax = "proto3"; - -import "src/ray/protobuf/common.proto"; -import "google/protobuf/timestamp.proto"; - -package ray.rpc.events; - -// Message containing the execution information of an actor task. -message ActorTaskExecutionEvent { - // task_id and task_attempt form the unique identifier of a task. - bytes task_id = 1; - int32 task_attempt = 2; - - // The actor task execution information - - // The map of task state to the time when the state was last updated. - - // Key is the integer value of TaskStatus enum (protobuf doesn't support Enum as key). - // Value is the timestamp when status changes to the target status indicated by the key. - map task_state = 3; - UserErrorInfo user_error_info = 4; - RayErrorInfo ray_error_info = 5; - - // The correlation ids of the task that can be used to correlate the task with - // other events. - bytes node_id = 6; - bytes worker_id = 7; - int32 worker_pid = 8; -} diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index aac704ef6e25..a68a9e02c112 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -18,7 +18,6 @@ package ray.rpc.events; import "google/protobuf/timestamp.proto"; import "src/ray/protobuf/events_actor_task_definition_event.proto"; -import "src/ray/protobuf/events_actor_task_execution_event.proto"; import "src/ray/protobuf/events_task_definition_event.proto"; import "src/ray/protobuf/events_task_execution_event.proto"; import "src/ray/protobuf/events_task_profile_events.proto"; @@ -46,8 +45,7 @@ message RayEvent { TASK_DEFINITION_EVENT = 1; TASK_EXECUTION_EVENT = 2; ACTOR_TASK_DEFINITION_EVENT = 3; - ACTOR_TASK_EXECUTION_EVENT = 4; - TASK_PROFILE_EVENT = 5; + TASK_PROFILE_EVENT = 4; } // The severities of events that can be generated. @@ -78,12 +76,13 @@ message RayEvent { Severity severity = 5; // A string message associated with the event. string message = 6; + // The current Ray session name. + string session_name = 7; // Nested event messages containing the specific fields for each event type. // One of the following fields is expected to be set for each RayEvent message. - TaskDefinitionEvent task_definition_event = 7; - TaskExecutionEvent task_execution_event = 8; - ActorTaskDefinitionEvent actor_task_definition_event = 9; - ActorTaskExecutionEvent actor_task_execution_event = 10; + TaskDefinitionEvent task_definition_event = 8; + TaskExecutionEvent task_execution_event = 9; + ActorTaskDefinitionEvent actor_task_definition_event = 10; TaskProfileEvents task_profile_events = 11; } diff --git a/src/ray/protobuf/events_task_definition_event.proto b/src/ray/protobuf/events_task_definition_event.proto index c47b2b0503de..2c63c7559b34 100644 --- a/src/ray/protobuf/events_task_definition_event.proto +++ b/src/ray/protobuf/events_task_definition_event.proto @@ -27,15 +27,18 @@ message TaskDefinitionEvent { int32 task_attempt = 2; // The task definition information. - FunctionDescriptor task_func = 3; - string task_name = 4; - map required_resources = 5; - RuntimeEnvInfo runtime_env_info = 6; + // Valid values are NORMAL_TASK, ACTOR_CREATION_TASK, DRIVER_TASK + TaskType task_type = 3; + Language language = 4; + FunctionDescriptor task_func = 5; + string task_name = 6; + map required_resources = 7; + RuntimeEnvInfo runtime_env_info = 8; // The correlation ids of the task that can be used to correlate the task with // other events. - bytes job_id = 7; - bytes parent_task_id = 8; - bytes placement_group_id = 9; - map ref_ids = 10; + bytes job_id = 9; + bytes parent_task_id = 10; + bytes placement_group_id = 11; + map ref_ids = 12; } diff --git a/src/ray/protobuf/events_task_execution_event.proto b/src/ray/protobuf/events_task_execution_event.proto index 7418f9354064..49e3ee37d569 100644 --- a/src/ray/protobuf/events_task_execution_event.proto +++ b/src/ray/protobuf/events_task_execution_event.proto @@ -28,15 +28,15 @@ message TaskExecutionEvent { // The task execution information + // The map of task state to the time when the state was last updated. // Key is the integer value of TaskStatus enum (protobuf doesn't support Enum as key). // Value is the timestamp when status changes to the target status indicated by the key. map task_state = 3; - UserErrorInfo user_error_info = 4; - RayErrorInfo ray_error_info = 5; + RayErrorInfo ray_error_info = 4; // The correlation ids of the task that can be used to correlate the task with // other events. - bytes node_id = 6; - bytes worker_id = 7; - int32 worker_pid = 8; + bytes node_id = 5; + bytes worker_id = 6; + int32 worker_pid = 7; } diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 676b7d0bc2ef..7193230c0729 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -90,7 +90,7 @@ DEFINE_int32(ray_debugger_external, 0, "Make Ray debugger externally accessible. // store options DEFINE_int64(object_store_memory, -1, "The initial memory of the object store."); DEFINE_string(node_name, "", "The user-provided identifier or name for this node."); -DEFINE_string(session_name, "", "Session name (ClusterID) of the cluster."); +DEFINE_string(session_name, "", "The current Ray session name."); DEFINE_string(cluster_id, "", "ID of the cluster, separate from observability."); // TODO(hjiang): At the moment only enablement flag is added, I will add other flags for // CPU and memory resource reservation in the followup PR. diff --git a/src/ray/rpc/event_aggregator_client.h b/src/ray/rpc/event_aggregator_client.h index b8b0f2fe3dd1..83746f02faa7 100644 --- a/src/ray/rpc/event_aggregator_client.h +++ b/src/ray/rpc/event_aggregator_client.h @@ -20,7 +20,6 @@ #include #include -#include "ray/common/status.h" #include "ray/rpc/grpc_client.h" #include "ray/util/logging.h" #include "src/ray/protobuf/events_event_aggregator_service.grpc.pb.h" From 7981693cdbc7c1c0d66585cdcadb85bd07fcbb5c Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Mon, 11 Aug 2025 16:06:24 -0700 Subject: [PATCH 0620/1566] Ray train improve worker error logging (#55222) Improved worker error logging by making them less verbose. Previously, all workers errors were appended together to produce a large string. This caused the training runs to show up as `Running` on the dashboard even if they already `Errored` and prevented the final error from being logged on the Train Dashboard as it was too large to export. This PR dedupes similar errors, indicates the corresponding workers, and truncates long error messages to be displayed to users. It also fixes the issue of the train run status not being updated. --------- Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/train/v2/BUILD | 16 ++++ .../_internal/execution/worker_group/poll.py | 74 ++++++++++++++- .../v2/tests/test_worker_group_poll_status.py | 92 +++++++++++++++++++ 3 files changed, 179 insertions(+), 3 deletions(-) create mode 100644 python/ray/train/v2/tests/test_worker_group_poll_status.py diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index 502056cb9885..31bab21afc44 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -469,6 +469,22 @@ py_test( ], ) +py_test( + name = "test_worker_group_poll_status", + size = "small", + srcs = ["tests/test_worker_group_poll_status.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_xgboost_trainer", size = "small", diff --git a/python/ray/train/v2/_internal/execution/worker_group/poll.py b/python/ray/train/v2/_internal/execution/worker_group/poll.py index e7f47d68da46..dffe2eb5d892 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/poll.py +++ b/python/ray/train/v2/_internal/execution/worker_group/poll.py @@ -1,10 +1,36 @@ +import re +from collections import defaultdict from dataclasses import dataclass from typing import Dict, Optional +from ray._private.ray_logging import NUMBERS from ray.train._internal.session import _TrainingResult +from ray.train.v2._internal.exceptions import WorkerHealthCheckFailedError from ray.train.v2.api.exceptions import WorkerGroupError from ray.types import ObjectRef +ERR_CHAR_LIMIT = 1000 + + +def _normalize_error_string(error_str: str) -> str: + # Replace numbers with based on NUMBERS regex + normalized = re.sub(NUMBERS, "", error_str) + return normalized + + +def _truncate_error_string(error_str: str) -> str: + """ + Truncates error strings to include the first ERR_CHAR_LIMIT // 2 + characters and the last ERR_CHAR_LIMIT // 2 characters. + """ + if len(error_str) >= ERR_CHAR_LIMIT: + return ( + error_str[: ERR_CHAR_LIMIT // 2] + + "...\n... (Output truncated. See individual worker logs for full details) ...\n" + + error_str[len(error_str) - ERR_CHAR_LIMIT // 2 :] + ) + return error_str + @dataclass class WorkerStatus: @@ -38,9 +64,51 @@ def finished(self) -> bool: ) def get_error_string(self) -> str: - return "\n".join( - f"[Rank {world_rank}]\n{error}" for world_rank, error in self.errors.items() - ) + """ + Returns a string representation of worker group errors. + Groups similar errors (ignoring numbers) and shows original error examples. + """ + # Group errors by normalized strings (ignoring numbers) + normalized_error_to_ranks = defaultdict(list) + normalized_error_to_original = {} + show_full_error = set() + + for world_rank, status in self.worker_statuses.items(): + if status.error: + error_str = str(status.error) + normalized_error = _normalize_error_string(error_str) + + normalized_error_to_ranks[normalized_error].append(str(world_rank)) + + # Store the first original error for this normalized group + if normalized_error not in normalized_error_to_original: + normalized_error_to_original[normalized_error] = error_str + + # Fully show errors for non-graceful worker failures or running workers + if ( + isinstance(status.error, WorkerHealthCheckFailedError) + or status.running + ): + show_full_error.add(normalized_error) + + errors = [] + for normalized_error, ranks in normalized_error_to_ranks.items(): + # Show the original error + orig_error = normalized_error_to_original[normalized_error] + + # Convert rank list to comma-separated strings + ranks_str = ",".join(ranks) + + if normalized_error in show_full_error: + errors.append(f"[Rank {ranks_str} Error Snippet]:\n{orig_error}") + else: + errors.append( + f"[Rank {ranks_str} Error Snippet]:\n{_truncate_error_string(orig_error)}" + ) + + error_str = "\n".join(errors) + + return error_str @dataclass(frozen=True) diff --git a/python/ray/train/v2/tests/test_worker_group_poll_status.py b/python/ray/train/v2/tests/test_worker_group_poll_status.py new file mode 100644 index 000000000000..03c394a961a6 --- /dev/null +++ b/python/ray/train/v2/tests/test_worker_group_poll_status.py @@ -0,0 +1,92 @@ +import pytest + +from ray.train.v2._internal.execution.worker_group.poll import ( + ERR_CHAR_LIMIT, + WorkerGroupPollStatus, + WorkerStatus, + _normalize_error_string, +) + + +def test_get_error_string_basic(): + """ + Simulate four workers, two with the same error, one with a different error, + and one without an error. + """ + + statuses = { + 0: WorkerStatus(running=False, error=ValueError("An error")), + 1: WorkerStatus(running=False, error=None), + 2: WorkerStatus(running=False, error=RuntimeError("Different error")), + 3: WorkerStatus(running=False, error=ValueError("An error")), + } + poll_status = WorkerGroupPollStatus(worker_statuses=statuses) + error_str = poll_status.get_error_string() + + expected_error_str = ( + "[Rank 0,3 Error Snippet]:\nAn error\n[Rank 2 Error Snippet]:\nDifferent error" + ) + assert error_str == expected_error_str + + +def test_get_error_string_with_numbers(): + """ + Simulate workers with similar errors that differ only by numbers. + These should be grouped together. + """ + statuses = { + 0: WorkerStatus( + running=False, error=ValueError("Error parsing object at 0x7f8b12345678") + ), + 1: WorkerStatus( + running=False, error=ValueError("Error parsing object at 0x7f8b12345679") + ), + } + poll_status = WorkerGroupPollStatus(worker_statuses=statuses) + error_str = poll_status.get_error_string() + + assert ( + error_str == "[Rank 0,1 Error Snippet]:\nError parsing object at 0x7f8b12345678" + ) + + +def test_get_error_string_long_error(): + """ + Simulate two workers with identical long error string. + """ + long_error_str = "test string" * 200 + statuses = { + 0: WorkerStatus(running=False, error=long_error_str), + 1: WorkerStatus(running=False, error=long_error_str), + } + poll_status = WorkerGroupPollStatus(worker_statuses=statuses) + error_str = poll_status.get_error_string() + + expected_error_str = ( + "[Rank 0,1 Error Snippet]:\n" + + long_error_str[: ERR_CHAR_LIMIT // 2] + + "...\n... (Output truncated. See individual worker logs for full details) ...\n" + + long_error_str[len(long_error_str) - ERR_CHAR_LIMIT // 2 :] + ) + assert error_str == expected_error_str + + +def test_normalize_error_string(): + """Test that _normalize_error_string properly handles all types of numbers.""" + error = """Traceback (most recent call last): +File "/home/ray/default/train_benchmark.py", line 35, in train_fn_per_worker +File "/tmp/ray/session_2025-08-07_23-49-55_617067_2585/runtime_resources/working_dir_files/_ray_pkg_5abd79ca51ba0ed4/runner.py", line 282, in run""" + result = _normalize_error_string(error) + + assert ( + result + == """Traceback (most recent call last): +File "/home/ray/default/train_benchmark.py", line , in train_fn_per_worker +File "/tmp/ray/session_--_--__/runtime_resources/working_dir_files/_ray_pkg_abdcabaed/runner.py", line , in run""" + ) + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) From 4fbfdc30fe8dcadbcf79eadf8ee82423c4ad95b8 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Mon, 11 Aug 2025 16:54:29 -0700 Subject: [PATCH 0621/1566] [docs][serve.llm] Add Ray Serve LLM docs examples to test (#54763) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 26 ++++++ .../serve/qwen/llm_config_example.yaml | 29 +++++++ .../serve/qwen/llm_yaml_config_example.py | 47 +++++++++++ .../llm/doc_code/serve/qwen/qwen_example.py | 84 +++++++++++++++++++ doc/source/serve/llm/serving-llms.rst | 56 ++----------- 5 files changed, 192 insertions(+), 50 deletions(-) create mode 100644 doc/source/llm/doc_code/serve/qwen/llm_config_example.yaml create mode 100644 doc/source/llm/doc_code/serve/qwen/llm_yaml_config_example.py create mode 100644 doc/source/llm/doc_code/serve/qwen/qwen_example.py diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 8e0cf7adde4e..2d0ac0634687 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -239,6 +239,8 @@ py_test_run_all_subdirectory( "source/serve/doc_code/stable_diffusion.py", "source/serve/doc_code/object_detection.py", "source/serve/doc_code/vllm_example.py", + "source/serve/doc_code/llm/llm_yaml_config_example.py", + "source/serve/doc_code/llm/qwen_example.py", ], extra_srcs = [], tags = [ @@ -270,6 +272,30 @@ py_test_run_all_subdirectory( ], ) +# -------------------------------------------------------------------- +# Test all doc/source/llm/doc_code/serve code included in rst/md files. +# -------------------------------------------------------------------- + +filegroup( + name = "serve_llm_examples", + srcs = glob(["source/llm/doc_code/serve/**/*.py"]), + visibility = ["//doc:__subpackages__"], +) + +# GPU Tests +py_test_run_all_subdirectory( + size = "large", + include = ["source/llm/doc_code/serve/**/*.py"], + exclude = [], + extra_srcs = [], + data = ["source/llm/doc_code/serve/qwen/llm_config_example.yaml"], + tags = [ + "exclusive", + "gpu", + "team:llm", + ], +) + # -------------------------------------------------------------------- # Test all doc/source/tune/doc_code code included in rst/md files. # -------------------------------------------------------------------- diff --git a/doc/source/llm/doc_code/serve/qwen/llm_config_example.yaml b/doc/source/llm/doc_code/serve/qwen/llm_config_example.yaml new file mode 100644 index 000000000000..cd5302b6f637 --- /dev/null +++ b/doc/source/llm/doc_code/serve/qwen/llm_config_example.yaml @@ -0,0 +1,29 @@ +# config.yaml +applications: +- args: + llm_configs: + - model_loading_config: + model_id: qwen-0.5b + model_source: Qwen/Qwen2.5-0.5B-Instruct + accelerator_type: A10G + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 2 + runtime_env: + env_vars: + VLLM_USE_V1: "1" + - model_loading_config: + model_id: qwen-1.5b + model_source: Qwen/Qwen2.5-1.5B-Instruct + accelerator_type: A10G + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 2 + runtime_env: + env_vars: + VLLM_USE_V1: "1" + import_path: ray.serve.llm:build_openai_app + name: llm_app + route_prefix: "/" \ No newline at end of file diff --git a/doc/source/llm/doc_code/serve/qwen/llm_yaml_config_example.py b/doc/source/llm/doc_code/serve/qwen/llm_yaml_config_example.py new file mode 100644 index 000000000000..1f921f886716 --- /dev/null +++ b/doc/source/llm/doc_code/serve/qwen/llm_yaml_config_example.py @@ -0,0 +1,47 @@ +""" +This file serves as a documentation example and CI test for YAML config deployment. + +Structure: +1. Monkeypatch setup: Ensures serve.run is non-blocking and removes accelerator requirements for CI testing. +2. Load YAML config and convert to Python using build_openai_app +3. Test validation (deployment status polling + cleanup) +""" + +import time +import os +import yaml +from ray import serve +from ray.serve.schema import ApplicationStatus +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve import llm + + +config_path = os.path.join(os.path.dirname(__file__), "llm_config_example.yaml") +with open(config_path, "r") as f: + config_dict = yaml.safe_load(f) + +llm_configs = config_dict["applications"][0]["args"]["llm_configs"] +for config in llm_configs: + config.pop("accelerator_type", None) + +app = llm.build_openai_app({"llm_configs": llm_configs}) +serve.run(app, blocking=False) + +status = ApplicationStatus.NOT_STARTED +timeout_seconds = 180 +start_time = time.time() + +while ( + status != ApplicationStatus.RUNNING and time.time() - start_time < timeout_seconds +): + status = serve.status().applications[SERVE_DEFAULT_APP_NAME].status + + if status in [ApplicationStatus.DEPLOY_FAILED, ApplicationStatus.UNHEALTHY]: + raise AssertionError(f"Deployment failed with status: {status}") + + time.sleep(1) + +if status != ApplicationStatus.RUNNING: + raise AssertionError( + f"Deployment failed to reach RUNNING status within {timeout_seconds}s. Current status: {status}" + ) diff --git a/doc/source/llm/doc_code/serve/qwen/qwen_example.py b/doc/source/llm/doc_code/serve/qwen/qwen_example.py new file mode 100644 index 000000000000..791405940351 --- /dev/null +++ b/doc/source/llm/doc_code/serve/qwen/qwen_example.py @@ -0,0 +1,84 @@ +""" +This file serves as a documentation example and CI test. + +Structure: +1. Monkeypatch setup: Ensures serve.run is non-blocking and removes accelerator requirements for CI testing. +2. Docs example (between __qwen_example_start/end__): Embedded in Sphinx docs via literalinclude. +3. Test validation (deployment status polling + cleanup) +""" + +import time +from ray import serve +from ray.serve.schema import ApplicationStatus +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve import llm + +_original_serve_run = serve.run +_original_build_openai_app = llm.build_openai_app + + +def _non_blocking_serve_run(app, **kwargs): + """Forces blocking=False for testing""" + kwargs["blocking"] = False + return _original_serve_run(app, **kwargs) + + +def _testing_build_openai_app(llm_serving_args): + """Removes accelerator requirements for testing""" + for config in llm_serving_args["llm_configs"]: + config.accelerator_type = None + + return _original_build_openai_app(llm_serving_args) + + +serve.run = _non_blocking_serve_run +llm.build_openai_app = _testing_build_openai_app + +# __qwen_example_start__ +from ray import serve +from ray.serve.llm import LLMConfig, build_openai_app + +llm_config = LLMConfig( + model_loading_config={ + "model_id": "qwen-0.5b", + "model_source": "Qwen/Qwen2.5-0.5B-Instruct", + }, + deployment_config={ + "autoscaling_config": { + "min_replicas": 1, + "max_replicas": 2, + } + }, + # Pass the desired accelerator type (e.g. A10G, L4, etc.) + accelerator_type="A10G", + # You can customize the engine arguments (e.g. vLLM engine kwargs) + engine_kwargs={ + "tensor_parallel_size": 2, + }, + runtime_env={"env_vars": {"VLLM_USE_V1": "1"}}, +) + +app = build_openai_app({"llm_configs": [llm_config]}) +serve.run(app, blocking=True) +# __qwen_example_end__ + +status = ApplicationStatus.NOT_STARTED +timeout_seconds = 180 +start_time = time.time() + +while ( + status != ApplicationStatus.RUNNING and time.time() - start_time < timeout_seconds +): + status = serve.status().applications[SERVE_DEFAULT_APP_NAME].status + + if status in [ApplicationStatus.DEPLOY_FAILED, ApplicationStatus.UNHEALTHY]: + raise AssertionError(f"Deployment failed with status: {status}") + + time.sleep(1) + +if status != ApplicationStatus.RUNNING: + raise AssertionError( + f"Deployment failed to reach RUNNING status within {timeout_seconds}s. Current status: {status}" + ) + +serve.shutdown() diff --git a/doc/source/serve/llm/serving-llms.rst b/doc/source/serve/llm/serving-llms.rst index 9e5048e423b1..25657d6a9c9e 100644 --- a/doc/source/serve/llm/serving-llms.rst +++ b/doc/source/serve/llm/serving-llms.rst @@ -68,31 +68,10 @@ Deployment through :class:`OpenAiIngress ` .. tab-item:: Builder Pattern :sync: builder - .. code-block:: python - - from ray import serve - from ray.serve.llm import LLMConfig, build_openai_app - - llm_config = LLMConfig( - model_loading_config=dict( - model_id="qwen-0.5b", - model_source="Qwen/Qwen2.5-0.5B-Instruct", - ), - deployment_config=dict( - autoscaling_config=dict( - min_replicas=1, max_replicas=2, - ) - ), - # Pass the desired accelerator type (e.g. A10G, L4, etc.) - accelerator_type="A10G", - # You can customize the engine arguments (e.g. vLLM engine kwargs) - engine_kwargs=dict( - tensor_parallel_size=2, - ), - ) - - app = build_openai_app({"llm_configs": [llm_config]}) - serve.run(app, blocking=True) + .. literalinclude:: ../../llm/doc_code/serve/qwen/qwen_example.py + :language: python + :start-after: __qwen_example_start__ + :end-before: __qwen_example_end__ .. tab-item:: Bind Pattern :sync: bind @@ -263,31 +242,8 @@ For production deployments, Ray Serve LLM provides utilities for config-driven d .. tab-item:: Inline Config :sync: inline - .. code-block:: yaml - - # config.yaml - applications: - - args: - llm_configs: - - model_loading_config: - model_id: qwen-0.5b - model_source: Qwen/Qwen2.5-0.5B-Instruct - accelerator_type: A10G - deployment_config: - autoscaling_config: - min_replicas: 1 - max_replicas: 2 - - model_loading_config: - model_id: qwen-1.5b - model_source: Qwen/Qwen2.5-1.5B-Instruct - accelerator_type: A10G - deployment_config: - autoscaling_config: - min_replicas: 1 - max_replicas: 2 - import_path: ray.serve.llm:build_openai_app - name: llm_app - route_prefix: "/" + .. literalinclude:: ../../llm/doc_code/serve/qwen/llm_config_example.yaml + :language: yaml .. tab-item:: Standalone Config From a914572c4f4fb556911e4ce256cc5205611c3803 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Mon, 11 Aug 2025 16:56:00 -0700 Subject: [PATCH 0622/1566] [Serve.llm] Forbid extra fields in ModelLoadingConfig (#55440) Signed-off-by: Seiji Eicher Signed-off-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/common/base_pydantic.py | 5 ++++- .../llm/_internal/serve/configs/server_models.py | 9 ++------- .../serve/deployments/llm/vllm/vllm_models.py | 1 - .../prefill_decode_disagg.py | 5 +++-- .../llm/tests/serve/cpu/configs/test_models.py | 16 ++++++++++++++++ 5 files changed, 25 insertions(+), 11 deletions(-) diff --git a/python/ray/llm/_internal/common/base_pydantic.py b/python/ray/llm/_internal/common/base_pydantic.py index 7add5baee6d8..ce4d49d8f955 100644 --- a/python/ray/llm/_internal/common/base_pydantic.py +++ b/python/ray/llm/_internal/common/base_pydantic.py @@ -13,7 +13,10 @@ class BaseModelExtended(BaseModel): # namespace as not protected. This means we need to be careful about overriding # internal attributes starting with `model_`. # See: https://github.com/anyscale/ray-llm/issues/1425 - model_config = ConfigDict(protected_namespaces=tuple()) + model_config = ConfigDict( + protected_namespaces=tuple(), + extra="forbid", + ) @classmethod def parse_yaml(cls: Type[ModelT], file, **kwargs) -> ModelT: diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index cacdf4aeeba3..ca046794cfa8 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -13,7 +13,6 @@ import pydantic from pydantic import ( BaseModel, - ConfigDict, Field, PositiveInt, PrivateAttr, @@ -108,6 +107,7 @@ def validate_dynamic_lora_loading_path(cls, value: Optional[str]): class ModelLoadingConfig(BaseModelExtended): + model_id: str = Field( description="The ID that should be used by end users to access this model.", ) @@ -134,11 +134,6 @@ class ModelLoadingConfig(BaseModelExtended): class LLMConfig(BaseModelExtended): - # model_config is a Pydantic setting. This setting merges with - # model_configs in parent classes. - model_config = ConfigDict( - extra="forbid", - ) runtime_env: Optional[Dict[str, Any]] = Field( None, @@ -537,7 +532,7 @@ def parse_args( return models -class LLMServingArgs(BaseModel): +class LLMServingArgs(BaseModelExtended): llm_configs: List[Union[str, LLMConfig]] = Field( description="A list of LLMConfigs, or paths to LLMConfigs, to run.", ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 77e7237f3b56..a2b0ec2b8d92 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -34,7 +34,6 @@ class VLLMEngineConfig(BaseModelExtended): model_config = ConfigDict( use_enum_values=True, - extra="forbid", ) model_id: str = Field( diff --git a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py index ff11971dad74..2d66fac44c53 100644 --- a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py +++ b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py @@ -4,10 +4,11 @@ import uuid from typing import Any, AsyncGenerator, Dict, Union -from pydantic import BaseModel, Field +from pydantic import Field from vllm.config import KVTransferConfig from ray import serve +from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.serve.configs.openai_api_models import ( ChatCompletionRequest, ChatCompletionResponse, @@ -33,7 +34,7 @@ RequestType = Union[ChatCompletionRequest, CompletionRequest] -class PDServingArgs(BaseModel): +class PDServingArgs(BaseModelExtended): """Schema for P/D serving args.""" prefill_config: Union[str, LLMConfig] diff --git a/python/ray/llm/tests/serve/cpu/configs/test_models.py b/python/ray/llm/tests/serve/cpu/configs/test_models.py index 886cf7430e31..057e27b8c65a 100644 --- a/python/ray/llm/tests/serve/cpu/configs/test_models.py +++ b/python/ray/llm/tests/serve/cpu/configs/test_models.py @@ -68,6 +68,22 @@ def test_invalid_accelerator_type(self): accelerator_type="A100_40G", # Should use A100-40G instead ) + def test_model_loading_config_forbids_extra_fields(self): + """Test that ModelLoadingConfig rejects extra fields.""" + + with pytest.raises(pydantic.ValidationError, match="engine_kwargs"): + ModelLoadingConfig( + model_id="test_model", + model_source="test_source", + engine_kwargs={"max_model_len": 8000}, # This should be rejected + ) + + valid_config = ModelLoadingConfig( + model_id="test_model", model_source="test_source" + ) + assert valid_config.model_id == "test_model" + assert valid_config.model_source == "test_source" + def test_invalid_generation_config(self, disable_placement_bundles): """Test that passing an invalid generation_config raises an error.""" with pytest.raises( From 0f815fb0af803719dc98ac91f1b3f59dd06cbd05 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 11 Aug 2025 17:05:18 -0700 Subject: [PATCH 0623/1566] [train] Make `ray.train.get_dataset_shard` lazily configure the dataset sharding (#55230) Instead of pre-sharding the dataset before creating the worker group, configure the dataset on the fly, when the user calls `ray.train.get_dataset_shard`. In the future, this can be extended to allow dynamic configuration of the dataset configuration at runtime, rather than having a static configuration defined in the `ray.train.DataConfig`. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- doc/source/tune/examples/index.rst | 2 +- .../train/v2/_internal/callbacks/datasets.py | 183 +++++++++++++-- .../train/v2/_internal/execution/context.py | 40 +++- .../v2/_internal/execution/train_fn_utils.py | 8 +- .../execution/worker_group/worker.py | 8 +- .../train/v2/tests/test_data_integration.py | 218 +++++++++++++++++- 6 files changed, 422 insertions(+), 37 deletions(-) diff --git a/doc/source/tune/examples/index.rst b/doc/source/tune/examples/index.rst index 38c334ab4717..121e3e47d77e 100644 --- a/doc/source/tune/examples/index.rst +++ b/doc/source/tune/examples/index.rst @@ -6,7 +6,7 @@ Ray Tune Examples ================= .. tip:: - See :ref:`overview` to learn more about Tune features. + See :ref:`tune-main` to learn more about Tune features. Below are examples for using Ray Tune for a variety use cases and sorted by categories: diff --git a/python/ray/train/v2/_internal/callbacks/datasets.py b/python/ray/train/v2/_internal/callbacks/datasets.py index a51b633d457a..3b31dcb96644 100644 --- a/python/ray/train/v2/_internal/callbacks/datasets.py +++ b/python/ray/train/v2/_internal/callbacks/datasets.py @@ -1,20 +1,162 @@ +import asyncio import copy +from dataclasses import dataclass from typing import Any, Callable, Dict, List, Union import ray.train -from ray.data import Dataset +from ray.data import DataIterator, Dataset, NodeIdStr from ray.data.context import DataContext from ray.train.v2._internal.execution.callback import WorkerGroupCallback from ray.train.v2._internal.execution.worker_group.worker_group import ( Worker, WorkerGroup, ) +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # A type representing either a ray.data.Dataset or a function that returns a # ray.data.Dataset and accepts no arguments. GenDataset = Union[Dataset, Callable[[], Dataset]] +@dataclass +class DatasetShardMetadata: + """Metadata about a dataset shard used for lookup and configuration.""" + + dataset_name: str + world_rank: int + + +class DatasetManager: + """Manages the dataset shards for datasets configured in the trainer.""" + + def __init__( + self, + datasets: Dict[str, GenDataset], + data_config: ray.train.DataConfig, + data_context: DataContext, + world_size: int, + worker_node_ids: List[NodeIdStr], + ): + self._datasets = {k: v() if callable(v) else v for k, v in datasets.items()} + self._data_config = data_config + self._datasets_to_split = ( + set(self._datasets.keys()) + if data_config._datasets_to_split == "all" + else set(data_config._datasets_to_split) + ) + self._world_size = world_size + self._worker_node_ids = worker_node_ids + + # Maps dataset name to a list of cached `DataIterator`s corresponding to + # Train worker ranks. + self._dataset_iterators: Dict[str, List[DataIterator]] = {} + + # A condition variable to synchronize the calls to the async `get_dataset_shard` method. + self._condition = asyncio.Condition() + + DataContext._set_current(data_context) + + def _create_dataset_iterators( + self, dataset_info: DatasetShardMetadata, base_dataset: Dataset + ) -> List[DataIterator]: + dataset_name = dataset_info.dataset_name + + iterators_per_rank = self._data_config.configure( + datasets={dataset_name: base_dataset}, + world_size=self._world_size, + worker_handles=None, + worker_node_ids=self._worker_node_ids, + ) + assert len(iterators_per_rank) == self._world_size + # TODO: Update DataConfig to return a List[DataIterator] directly + # for configuring a single dataset. + # Convert the List[Dict[str, DataIterator]] to a List[DataIterator], + # since we only configured one dataset. + return [iterators_per_rank[i][dataset_name] for i in range(self._world_size)] + + def _get_unsharded_dataset_iterator( + self, dataset_info: DatasetShardMetadata + ) -> DataIterator: + """Returns the dataset iterator for a dataset that is excluded + from `DataConfig.datasets_to_split`. + + Note that this method is NOT a barrier across workers and can be called + by any subset of workers and will return immediately. + """ + dataset_name = dataset_info.dataset_name + world_rank = dataset_info.world_rank + + if dataset_name not in self._dataset_iterators: + self._dataset_iterators[dataset_name] = self._create_dataset_iterators( + dataset_info, self._datasets[dataset_name] + ) + + return self._dataset_iterators[dataset_name][world_rank] + + async def _get_sharded_dataset_iterator( + self, dataset_info: DatasetShardMetadata + ) -> DataIterator: + """Returns the dataset iterator for a dataset that is included + in `DataConfig.datasets_to_split`. + + Note that this method is a barrier across workers, + and all workers must call this method before training. + """ + dataset_name = dataset_info.dataset_name + world_rank = dataset_info.world_rank + + async with self._condition: + if dataset_name in self._dataset_iterators: + # If the dataset iterators have already been created, return the + # existing one. + iterator = self._dataset_iterators[dataset_name][world_rank] + elif world_rank == 0: + # In this case, the dataset iterators have not been created yet. + # The dataset only needs to be configured once globally for all workers. + # Do it only when the rank 0 worker calls this method. + iterators = self._create_dataset_iterators( + dataset_info, self._datasets[dataset_name] + ) + iterator = iterators[world_rank] + + # Cache the dataset iterators for future use. + self._dataset_iterators[dataset_name] = iterators + self._condition.notify_all() + else: + # Wait for the dataset iterators to be created by the rank 0 worker. + await self._condition.wait_for( + lambda: dataset_name in self._dataset_iterators + ) + iterator = self._dataset_iterators[dataset_name][world_rank] + return iterator + + async def get_dataset_shard( + self, + dataset_info: DatasetShardMetadata, + ) -> DataIterator: + """Create and return the dataset shard iterator for a Ray Train worker's + call to `ray.train.get_dataset_shard`. + + This method is a barrier that should be called by all Ray Train workers at once. + If the dataset iterators have already been created, return the existing ones. + Otherwise, create the dataset iterators and cache them. + + Here's an example of how this method is used with 4 workers: + + Rank 2 calls get_dataset_shard, waits on the condition variable. + Rank 1 calls get_dataset_shard, waits on the condition variable. + Rank 0 calls get_dataset_shard, creates the dataset iterators, caches them, + and notifies all workers hanging on the condition variable. + Rank 3 calls get_dataset_shard, returns the cached iterator. + """ + dataset_name = dataset_info.dataset_name + + if dataset_name in self._datasets_to_split: + return await self._get_sharded_dataset_iterator(dataset_info) + else: + return self._get_unsharded_dataset_iterator(dataset_info) + + class DatasetsSetupCallback(WorkerGroupCallback): """The callback to setup Ray Datasets for the worker group.""" @@ -31,7 +173,7 @@ def __init__( # Capture the current DataContext to propagate it to # the Train workers later. # The propagation works in the following way: - # 1. This callback is created when user create the Trainer. + # 1. This callback is created when user creates the Trainer. # 2. Then this callback will be passed to the Controller actor. # 3. Lastly, when the worker group is initialized, the Controller # will call the `after_worker_group_start` callback to propagate @@ -45,26 +187,39 @@ def get_train_total_resources( these resources logically from its available pool.""" return scaling_config.total_resources + # -------------------------- + # WorkerGroupCallback + # -------------------------- + def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: - # Configure dataset shards - datasets = {k: v() if callable(v) else v for k, v in self._datasets.items()} - node_ids = [worker.metadata.node_id for worker in workers] + if not self._datasets: + return {"dataset_manager": [None] * len(workers)} + + world_size = len(workers) + worker_node_ids = [worker.metadata.node_id for worker in workers] - # Notify the DataConfig about the total resources reserved for training. total_train_resources = self.get_train_total_resources(self._scaling_config) self._data_config.set_train_total_resources( total_train_resources.get("CPU", 0), total_train_resources.get("GPU", 0) ) - dataset_shards = self._data_config.configure( - datasets, - world_size=len(workers), - worker_handles=None, - worker_node_ids=node_ids, + dataset_manager = ( + ray.remote(DatasetManager) + .options( + num_cpus=0, + scheduling_strategy=NodeAffinitySchedulingStrategy( + ray.get_runtime_context().get_node_id(), soft=False + ), + ) + .remote( + datasets=self._datasets, + data_config=self._data_config, + data_context=self._data_context, + world_size=world_size, + worker_node_ids=worker_node_ids, + ) ) - assert len(dataset_shards) == len(workers) - - return {"dataset_shards": dataset_shards} + return {"dataset_manager": [dataset_manager] * len(workers)} def after_worker_group_start(self, worker_group: WorkerGroup): # Propagate DataContext diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index fd2f0df8e23e..ecb3ae3f9cd8 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -7,6 +7,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional import ray +from ray.actor import ActorHandle from ray.data import DataIterator, Dataset from ray.train import BackendConfig, Checkpoint, DataConfig from ray.train._internal import session @@ -17,6 +18,10 @@ from ray.train.v2.api.config import RunConfig, ScalingConfig if TYPE_CHECKING: + from ray.train.v2._internal.callbacks.datasets import ( + DatasetManager, + DatasetShardMetadata, + ) from ray.train.v2._internal.execution.callback import TrainContextCallback from ray.train.v2._internal.execution.worker_group.thread_runner import ThreadRunner @@ -92,9 +97,11 @@ class TrainContext: distributed_context: DistributedContext execution_context: ExecutionContext storage_context: StorageContext - dataset_shards: Dict[str, DataIterator] checkpoint: Optional[Checkpoint] = None + dataset_manager: Optional[ActorHandle["DatasetManager"]] = None + _cached_dataset_shards: Dict[str, DataIterator] = field(default_factory=dict) + @_copy_doc(session.get_experiment_name) def get_experiment_name(self) -> str: return self.train_run_context.run_config.name @@ -133,7 +140,7 @@ def get_synchronization_actor(self): def get_checkpoint(self): return self.checkpoint - def get_dataset_shard(self, dataset_name: str) -> DataIterator: + def get_dataset_shard(self, dataset_info: "DatasetShardMetadata") -> DataIterator: """Returns the :class:`ray.data.DataIterator` shard for this worker. Call :meth:`~ray.data.DataIterator.iter_torch_batches` or @@ -141,19 +148,34 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: appropriate framework-specific data type. Args: - dataset_name: Name of the dataset shard. + dataset_info: The shard metadata, including the dataset name and worker rank. + Returns: The ``DataIterator`` shard with the given name for this worker. + Raises: KeyError: If the dataset shard with the given name is not found. """ + dataset_name = dataset_info.dataset_name + error = KeyError( + f"Dataset shard for '{dataset_name}' not found. " + "Please ensure that the dataset is passed through the Trainer `datasets` " + "argument." + ) + + if self.dataset_manager is None: + raise error + + if dataset_info.dataset_name in self._cached_dataset_shards: + return self._cached_dataset_shards[dataset_info.dataset_name] + try: - return self.dataset_shards[dataset_name] - except KeyError: - raise KeyError( - f"Dataset {dataset_name} not found. Available datasets: " - f"{list(self.dataset_shards.keys())}." - ) + shard = ray.get(self.dataset_manager.get_dataset_shard.remote(dataset_info)) + except KeyError as e: + raise error from e + + self._cached_dataset_shards[dataset_info.dataset_name] = shard + return shard def get_context_callbacks(self) -> List["TrainContextCallback"]: return self.execution_context.train_context_callbacks diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 28bf683fda2d..b6b784de163e 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -57,7 +57,13 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: Returns: The DataIterator shard for this worker. """ - return get_internal_train_context().get_dataset_shard(dataset_name) + from ray.train.v2._internal.callbacks.datasets import DatasetShardMetadata + + dataset_info = DatasetShardMetadata( + dataset_name=dataset_name, + world_rank=get_internal_train_context().get_world_rank(), + ) + return get_internal_train_context().get_dataset_shard(dataset_info) def get_context(self) -> ExternalTrainContext: return ExternalTrainContext() diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 667ab318296b..b3fec846128d 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -10,7 +10,6 @@ import ray._private.ray_constants as ray_constants from .thread_runner import ThreadRunner from ray.actor import ActorHandle -from ray.data.iterator import DataIterator from ray.train import Checkpoint from ray.train.v2._internal.constants import ( DEFAULT_ENABLE_WORKER_LOGGING, @@ -20,7 +19,6 @@ TrainContextCallback, WorkerCallback, ) -from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor from ray.train.v2._internal.execution.context import ( DistributedContext, ExecutionContext, @@ -189,10 +187,10 @@ def init_train_context( self, train_run_context: TrainRunContext, distributed_context: DistributedContext, - synchronization_actor: SynchronizationActor, + synchronization_actor: ActorHandle, storage_context: StorageContext, worker_callbacks: List[Union[WorkerCallback, TrainContextCallback]], - dataset_shards: Dict[str, DataIterator] = None, + dataset_manager: Optional[ActorHandle] = None, checkpoint: Optional[Checkpoint] = None, ): self._callbacks = [c for c in worker_callbacks if isinstance(c, WorkerCallback)] @@ -211,8 +209,8 @@ def init_train_context( train_context_callbacks=context_callbacks_to_propagate, ), storage_context=storage_context, - dataset_shards=dataset_shards or {}, checkpoint=checkpoint, + dataset_manager=dataset_manager, ) # Configure the train and root logger for the worker processes. if ray_constants.env_bool( diff --git a/python/ray/train/v2/tests/test_data_integration.py b/python/ray/train/v2/tests/test_data_integration.py index fe8159d5190f..ff5d5acf9b0f 100644 --- a/python/ray/train/v2/tests/test_data_integration.py +++ b/python/ray/train/v2/tests/test_data_integration.py @@ -1,3 +1,4 @@ +import asyncio from unittest.mock import MagicMock import pytest @@ -7,7 +8,11 @@ from ray.data import DataContext, ExecutionResources from ray.data._internal.iterator.stream_split_iterator import StreamSplitDataIterator from ray.data.tests.conftest import restore_data_context # noqa: F401 -from ray.train.v2._internal.callbacks import DatasetsSetupCallback +from ray.train.v2._internal.callbacks.datasets import ( + DatasetManager, + DatasetShardMetadata, + DatasetsSetupCallback, +) from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.worker_group.worker_group import ( WorkerGroupContext, @@ -87,13 +92,31 @@ def test_dataset_setup_callback(ray_start_4_cpus): data_config=data_config, scaling_config=scaling_config, ) - dataset_shards = callback.before_init_train_context(worker_group.get_workers())[ - "dataset_shards" - ] - assert len(dataset_shards) == NUM_WORKERS + dataset_manager_for_each_worker = callback.before_init_train_context( + worker_group.get_workers() + )["dataset_manager"] + assert len(dataset_manager_for_each_worker) == NUM_WORKERS + + # We should send the same dataset manager to all workers. + dataset_manager = dataset_manager_for_each_worker[0] + assert all( + manager == dataset_manager for manager in dataset_manager_for_each_worker + ) - processed_train_ds = dataset_shards[0]["train"] - processed_valid_ds = dataset_shards[0]["valid"] + def get_rank_0_shard(dataset_name: str): + for i in range(1, NUM_WORKERS): + dataset_manager.get_dataset_shard.remote( + DatasetShardMetadata(dataset_name=dataset_name, world_rank=i) + ) + + return ray.get( + dataset_manager.get_dataset_shard.remote( + DatasetShardMetadata(dataset_name=dataset_name, world_rank=0) + ) + ) + + processed_train_ds = get_rank_0_shard("train") + processed_valid_ds = get_rank_0_shard("valid") assert isinstance(processed_train_ds, StreamSplitDataIterator) assert not isinstance(processed_valid_ds, StreamSplitDataIterator) @@ -109,6 +132,187 @@ def test_dataset_setup_callback(ray_start_4_cpus): ) +async def get_dataset_shard_for_worker( + dataset_manager: DatasetManager, + dataset_name: str, + num_workers: int, + worker_rank: int, +): + return await asyncio.create_task( + dataset_manager.get_dataset_shard( + DatasetShardMetadata(dataset_name=dataset_name, world_rank=worker_rank) + ) + ) + + +async def get_dataset_shard_for_all_workers( + dataset_manager: DatasetManager, + dataset_name: str, + num_workers: int, +): + return await asyncio.gather( + *[ + get_dataset_shard_for_worker(dataset_manager, dataset_name, num_workers, i) + for i in range(num_workers) + ] + ) + + +@pytest.mark.asyncio +async def test_get_multiple_datasets_serially(ray_start_4_cpus): + """Tests DatasetManager.get_dataset_shard for multiple datasets, + called serially by each worker. This is the typical case. + + Workers 0, 1: + ray.train.get_dataset_shard("sharded_1") + ray.train.get_dataset_shard("sharded_2") + ray.train.get_dataset_shard("unsharded") + """ + + NUM_ROWS = 100 + NUM_TRAIN_WORKERS = 2 + + sharded_ds_1 = ray.data.range(NUM_ROWS) + sharded_ds_2 = ray.data.range(NUM_ROWS) + unsharded_ds = ray.data.range(NUM_ROWS) + + dataset_manager = DatasetManager( + datasets={ + "sharded_1": sharded_ds_1, + "sharded_2": sharded_ds_2, + "unsharded": unsharded_ds, + }, + data_config=ray.train.DataConfig(datasets_to_split=["sharded_1", "sharded_2"]), + data_context=DataContext.get_current(), + world_size=NUM_TRAIN_WORKERS, + worker_node_ids=None, + ) + + shards = await get_dataset_shard_for_all_workers( + dataset_manager, "sharded_1", NUM_TRAIN_WORKERS + ) + assert all(isinstance(shard, StreamSplitDataIterator) for shard in shards) + assert [shard._base_dataset.name for shard in shards] == [ + "sharded_1" + ] * NUM_TRAIN_WORKERS + + shards = await get_dataset_shard_for_all_workers( + dataset_manager, "sharded_2", NUM_TRAIN_WORKERS + ) + assert all(isinstance(shard, StreamSplitDataIterator) for shard in shards) + assert [shard._base_dataset.name for shard in shards] == [ + "sharded_2" + ] * NUM_TRAIN_WORKERS + + shards = await get_dataset_shard_for_all_workers( + dataset_manager, "unsharded", NUM_TRAIN_WORKERS + ) + assert not any(isinstance(shard, StreamSplitDataIterator) for shard in shards) + assert [shard._base_dataset.name for shard in shards] == [ + "unsharded" + ] * NUM_TRAIN_WORKERS + + +@pytest.mark.asyncio +async def test_get_multiple_datasets_interleaved(ray_start_4_cpus): + """Tests DatasetManager.get_dataset_shard for multiple datasets, + called in an interleaved order by workers. + + Worker 0: + ray.train.get_dataset_shard("train") + ray.train.get_dataset_shard("valid") + + Worker 1: + ray.train.get_dataset_shard("valid") + ray.train.get_dataset_shard("train") + """ + + NUM_ROWS = 100 + NUM_TRAIN_WORKERS = 2 + + train_ds = ray.data.range(NUM_ROWS) + valid_ds = ray.data.range(NUM_ROWS) + + dataset_manager = DatasetManager( + datasets={"train": train_ds, "valid": valid_ds}, + data_config=ray.train.DataConfig(datasets_to_split="all"), + data_context=DataContext.get_current(), + world_size=NUM_TRAIN_WORKERS, + worker_node_ids=None, + ) + + tasks = [ + get_dataset_shard_for_worker(dataset_manager, "train", NUM_TRAIN_WORKERS, 0), + get_dataset_shard_for_worker(dataset_manager, "valid", NUM_TRAIN_WORKERS, 1), + get_dataset_shard_for_worker(dataset_manager, "train", NUM_TRAIN_WORKERS, 1), + get_dataset_shard_for_worker(dataset_manager, "valid", NUM_TRAIN_WORKERS, 0), + ] + iterators = await asyncio.gather(*tasks) + assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) + assert [iterator._base_dataset.name for iterator in iterators] == [ + "train", + "valid", + "train", + "valid", + ] + + +@pytest.mark.asyncio +async def test_get_multiple_datasets_rank_specific(ray_start_4_cpus): + """Tests rank-specific DatasetManager.get_dataset_shard calls. + + # Epoch 1 + ray.train.get_dataset_shard("train") + + # Validation, which only happens on worker 0. + if world_rank == 0: + ray.train.get_dataset_shard("valid") + + # Epoch 2 + ray.train.get_dataset_shard("train") + """ + + NUM_ROWS = 100 + NUM_TRAIN_WORKERS = 2 + + train_ds = ray.data.range(NUM_ROWS) + valid_ds = ray.data.range(NUM_ROWS) + + dataset_manager = DatasetManager( + datasets={"train": train_ds, "valid": valid_ds}, + data_config=ray.train.DataConfig(datasets_to_split=["train"]), + data_context=DataContext.get_current(), + world_size=NUM_TRAIN_WORKERS, + worker_node_ids=None, + ) + + # ray.train.get_dataset_shard("train") + iterators = await get_dataset_shard_for_all_workers( + dataset_manager, "train", NUM_TRAIN_WORKERS + ) + assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) + assert [iterator._base_dataset.name for iterator in iterators] == [ + "train" + ] * NUM_TRAIN_WORKERS + + # if world_rank == 0: + # ray.train.get_dataset_shard("valid") + iterator = await get_dataset_shard_for_worker( + dataset_manager, "valid", NUM_TRAIN_WORKERS, 0 + ) + assert not isinstance(iterator, StreamSplitDataIterator) + assert iterator._base_dataset.name == "valid" + + # ray.train.get_dataset_shard("train") + iterators = await get_dataset_shard_for_all_workers( + dataset_manager, "train", NUM_TRAIN_WORKERS + ) + assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) + assert [iterator._base_dataset.name for iterator in iterators] == [ + "train" + ] * NUM_TRAIN_WORKERS + + if __name__ == "__main__": import sys From 136116a3ae644084524dbe6e3b32d6303723180c Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Mon, 11 Aug 2025 17:06:52 -0700 Subject: [PATCH 0624/1566] [Serve.llm] Support Data Parallel Attention Deployment (#55438) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../serve/builders/application_builders.py | 2 +- .../data_parallel/dp_rank_assigner.py | 30 +++++++ .../deployments/data_parallel/dp_server.py | 82 +++++++++++++++++++ .../serve/deployments/llm/llm_server.py | 4 +- .../serve/deployments/llm/vllm/vllm_engine.py | 2 +- 5 files changed, 117 insertions(+), 3 deletions(-) create mode 100644 python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py create mode 100644 python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py diff --git a/python/ray/llm/_internal/serve/builders/application_builders.py b/python/ray/llm/_internal/serve/builders/application_builders.py index a0f7607e14fa..201974b36514 100644 --- a/python/ray/llm/_internal/serve/builders/application_builders.py +++ b/python/ray/llm/_internal/serve/builders/application_builders.py @@ -22,7 +22,7 @@ def build_llm_deployment( name_prefix: Optional[str] = None, deployment_kwargs: Optional[dict] = None, ) -> Application: - name_prefix = name_prefix or "LLMDeployment" + name_prefix = name_prefix or "LLMDeployment:" deployment_kwargs = deployment_kwargs or {} deployment_options = llm_config.get_serve_options( diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py new file mode 100644 index 000000000000..b9b23065609e --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py @@ -0,0 +1,30 @@ +import asyncio + +from ray import serve + + +@serve.deployment(num_replicas=1) +class DPRankAssigner: + """ + Data Parallel Rank Assigner. + + This class is used to assign a rank to each replica in the data parallel + deployment. + """ + + def __init__(self, dp_size: int): + self.dp_size = dp_size + self.lock = asyncio.Lock() + self.next_rank = 0 + + async def register(self, replica_ctx: "serve.context.ReplicaContext"): + async with self.lock: + if self.next_rank >= self.dp_size: + raise ValueError( + f"Attempted to assign rank {self.next_rank} but dp_size is {self.dp_size}" + ) + # TODO(rui): instead of using the naive increment approach, + # we should use the Ray Serve Replica Rank API to assign ranks. + rank = self.next_rank + self.next_rank += 1 + return rank diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py new file mode 100644 index 000000000000..0c3cce80e090 --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -0,0 +1,82 @@ +import logging +from typing import Optional + +from ray import serve +from ray.llm._internal.serve.configs.server_models import LLMConfig +from ray.llm._internal.serve.deployments.data_parallel.dp_rank_assigner import ( + DPRankAssigner, +) +from ray.llm._internal.serve.deployments.llm.llm_server import LLMServer +from ray.serve.deployment import Application +from ray.serve.handle import DeploymentHandle + +logger = logging.getLogger(__name__) + + +class DPServer(LLMServer): + """ + Data Parallel LLM Server. + + This class is used to serve data parallel attention (DP Attention) + deployment paradigm, where the attention layers are replicated and + the MoE layers are sharded. DP Attention is typically used for models + like DeepSeek-V3. + """ + + async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHandle): + self.dp_rank_assigner = dp_rank_assigner + + replica_ctx = serve.get_replica_context() + self.dp_rank = await self.dp_rank_assigner.register.remote(replica_ctx) + logger.info(f"DP rank: {self.dp_rank}") + + # override the engine_kwargs to assign the DP rank. + llm_config.engine_kwargs["data_parallel_rank"] = self.dp_rank + + await super().__init__(llm_config) + + def _push_telemetry_report(self): + # Only push telemetry report for the first DP replica. + if self.dp_rank == 0: + # TODO(rui): refine the telemetry report for DP deployment. + super()._push_telemetry_report() + + @classmethod + def as_deployment(cls, deployment_options: dict) -> serve.Deployment: + return serve.deployment(cls).options(**deployment_options) + + +def build_dp_deployment( + llm_config: LLMConfig, + *, + name_prefix: Optional[str] = None, +) -> Application: + """Build a data parallel LLM deployment.""" + dp_size = llm_config.engine_kwargs.get("data_parallel_size", 1) + if dp_size == 1: + raise ValueError( + "data_parallel_size should be greater than 1 for DP deployment." + ) + dp_rank_assigner = DPRankAssigner.bind(dp_size=dp_size) + name_prefix = name_prefix or "DPLLMDeployment:" + name = name_prefix + llm_config._get_deployment_name() + if "num_replicas" in llm_config.deployment_config: + raise ValueError( + "num_replicas should not be specified for DP deployment, " + "use engine_kwargs.data_parallel_size instead." + ) + if "autoscaling_config" in llm_config.deployment_config: + raise ValueError( + "autoscaling_config is not supported for DP deployment, " + "use engine_kwargs.data_parallel_size to set a fixed number " + "of replicas instead." + ) + # TODO(rui): support data_parallel_backend=ray and unify + # deployment_options handling with LLMDeployment. + deployment_options = { + "name": name, + "num_replicas": dp_size, + } + return DPServer.as_deployment(deployment_options).bind( + llm_config=llm_config, dp_rank_assigner=dp_rank_assigner + ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 551329753526..da20c9b805a8 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -204,6 +204,7 @@ async def start(self): if self._engine_cls is not None: self.engine = self._engine_cls(self._llm_config) await asyncio.wait_for(self._start_engine(), timeout=ENGINE_START_TIMEOUT_S) + self._push_telemetry_report() def _init_multiplex_loader( self, model_downloader_cls: Optional[Type[LoraModelLoader]] = None @@ -251,7 +252,8 @@ async def _start_engine(self): await self.engine.start() - # Push telemetry reports for the model in the current deployment. + def _push_telemetry_report(self): + """Push telemetry reports for the model in the current deployment.""" push_telemetry_report_for_all_models(all_models=[self._llm_config]) def _get_batch_interval_ms(self, stream: bool = True) -> int: diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index b55c27120179..e3ba947266ad 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -328,7 +328,7 @@ def _start_async_llm_engine( """Creates an async LLM engine from the engine arguments.""" from vllm import envs as vllm_envs - # NOTE: This is a temporary solution untill vLLM v1 supports embeddings. + # NOTE: This is a temporary solution until vLLM v1 supports embeddings. if not vllm_envs.VLLM_USE_V1: return self._start_async_llm_engine_v0( vllm_engine_args, vllm_engine_config, placement_group From 966104d384044ea9ff594c715491f7b59fa95bb0 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 11 Aug 2025 17:20:11 -0700 Subject: [PATCH 0625/1566] [image] remove extra image build tags (#55494) rayci has proper dependency tracking now, and does not require explicit tagging for downstream deps Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index fcc4a3e770d9..662f7824178a 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -32,15 +32,11 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" - - name: raycpubase label: "wanda: ray.py{{matrix}}.cpu.base" tags: - python_dependencies - - python - docker - - tune - - serve wanda: ci/docker/ray.cpu.base.wanda.yaml matrix: - "3.9" From 280aa9c50f5b97797a6a8d8c347651eedff3c558 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Mon, 11 Aug 2025 20:41:11 -0400 Subject: [PATCH 0626/1566] [Data] Restore handling of `PyExtensionType` to maintain compatibility w/ previously written datasets (#55498) ## Why are these changes needed? Batch inference tests started to fail after https://github.com/ray-project/ray/pull/55426 due to us eliminating handling of the auto-loading of `PyExtensionType` This change restores handling of the auto-loading while also fixing it for Arrow >= 21.0 that deleted PyExtensionType support completely. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/__init__.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/python/ray/data/__init__.py b/python/ray/data/__init__.py index c4962fd7db54..96a774f5a63f 100644 --- a/python/ray/data/__init__.py +++ b/python/ray/data/__init__.py @@ -1,6 +1,9 @@ # Short term workaround for https://github.com/ray-project/ray/issues/32435 # Dataset has a hard dependency on pandas, so it doesn't need to be delayed. import pandas # noqa +from packaging.version import parse as parse_version + +from ray._private.arrow_utils import get_pyarrow_version from ray.data._internal.compute import ActorPoolStrategy from ray.data._internal.datasource.tfrecords_datasource import TFXReadOptions @@ -75,6 +78,40 @@ configure_logging() +try: + import pyarrow as pa + + # Import these arrow extension types to ensure that they are registered. + from ray.air.util.tensor_extensions.arrow import ( # noqa + ArrowTensorType, + ArrowVariableShapedTensorType, + ) + + # https://github.com/apache/arrow/pull/38608 deprecated `PyExtensionType`, and + # disabled it's deserialization by default. To ensure that users can load data + # written with earlier version of Ray Data, we enable auto-loading of serialized + # tensor extensions. + # + # NOTE: `PyExtensionType` is deleted from Arrow >= 21.0 + pyarrow_version = get_pyarrow_version() + if pyarrow_version is None or pyarrow_version >= parse_version("21.0.0"): + pass + else: + from ray._private.ray_constants import env_bool + + RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE = env_bool( + "RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE", False + ) + + if ( + pyarrow_version >= parse_version("14.0.1") + and RAY_DATA_AUTOLOAD_PYEXTENSIONTYPE + ): + pa.PyExtensionType.set_auto_load(True) + +except ModuleNotFoundError: + pass + __all__ = [ "ActorPoolStrategy", From 594bc7afa142a3de69c6c46e88180c45aee732e5 Mon Sep 17 00:00:00 2001 From: Nary Yeh <60069744+machichima@users.noreply.github.com> Date: Tue, 12 Aug 2025 08:43:02 +0800 Subject: [PATCH 0627/1566] [Core]Separate Environment Variables for ray.init() and ray ctl to Reflect Different Protocols and Ports (#55189) Currently, both `ray.init()` and ray ctl rely on the same environment variable RAY_ADDRESS to determine the default address to connect to a Ray cluster. However, in practice: `ray.init()` uses the `ray:// protocol` and connects via the GCS gRPC port (default `10001`) ray ctl uses the HTTP protocol (`http://`) and connects via the Dashboard port (default `8265`) This leads to potential confusion when setting the `RAY_ADDRESS` environment variable, as it may not be valid for both tools simultaneously. For example, setting `RAY_ADDRESS=http://localhost:8265/` would work for ray ctl, but not for `ray.init()`, which expects a `ray://` URI with the GCS port. In this PR, we do: - Keep `RAY_ADDRESS` for `ray.init()` - Use `RAY_API_SERVER_ADDRESS` for ray job ctl - Update docs: https://anyscale-ray--55189.com.readthedocs.build/en/55189/cluster/running-applications/job-submission/quickstart.html Closes #53226 Signed-off-by: Douglas Strodtman --- .../job-submission/quickstart.rst | 8 ++--- python/ray/_private/ray_constants.py | 1 + python/ray/dashboard/modules/job/cli.py | 12 +++---- python/ray/dashboard/modules/job/sdk.py | 2 +- .../modules/job/tests/test_cli_integration.py | 33 +++++++++++++++++-- python/ray/dashboard/utils.py | 12 +++++-- python/ray/scripts/scripts.py | 2 +- .../test_cli_patterns/test_ray_start.txt | 2 +- .../test_ray_start_windows_osx.txt | 2 +- 9 files changed, 54 insertions(+), 20 deletions(-) diff --git a/doc/source/cluster/running-applications/job-submission/quickstart.rst b/doc/source/cluster/running-applications/job-submission/quickstart.rst index c40e344e3b38..3a9efd1043ca 100644 --- a/doc/source/cluster/running-applications/job-submission/quickstart.rst +++ b/doc/source/cluster/running-applications/job-submission/quickstart.rst @@ -68,13 +68,13 @@ If you are using a local Ray Cluster (``ray start --head``), connect directly at If you are using a Ray Cluster started on VMs or Kubernetes, follow the instructions there for setting up network access from a client. See :ref:`Using a Remote Cluster ` for tips. -To tell the Ray Jobs CLI how to find your Ray Cluster, pass the Ray Dashboard address. Set the ``RAY_ADDRESS`` environment variable: +To tell the Ray Jobs CLI how to find your Ray Cluster, pass the Ray Dashboard address. Set the ``RAY_API_SERVER_ADDRESS`` environment variable: .. code-block:: bash - $ export RAY_ADDRESS="http://127.0.0.1:8265" + $ export RAY_API_SERVER_ADDRESS="http://127.0.0.1:8265" -Alternatively, you can also pass the ``--address=http://127.0.0.1:8265`` flag explicitly to each Ray Jobs CLI command, or prepend each command with ``RAY_ADDRESS=http://127.0.0.1:8265``. +Alternatively, you can also pass the ``--address=http://127.0.0.1:8265`` flag explicitly to each Ray Jobs CLI command, or prepend each command with ``RAY_API_SERVER_ADDRESS=http://127.0.0.1:8265``. Additionally, if you wish to pass headers per HTTP request to the Cluster, use the `RAY_JOB_HEADERS` environment variable. This environment variable must be in JSON form. @@ -217,7 +217,7 @@ Run the following command on your local machine, where ``cluster.yaml`` is the c ray dashboard cluster.yaml Once this command is running, verify that you can view the Ray Dashboard in your local browser at ``http://127.0.0.1:8265``. -Also, verify that you set the environment variable ``RAY_ADDRESS`` to ``"http://127.0.0.1:8265"``. After this setup, you can use the Jobs CLI on the local machine as in the preceding example to interact with the remote Ray cluster. +Also, verify that you set the environment variable ``RAY_API_SERVER_ADDRESS`` to ``"http://127.0.0.1:8265"``. After this setup, you can use the Jobs CLI on the local machine as in the preceding example to interact with the remote Ray cluster. Using the CLI on Kubernetes ^^^^^^^^^^^^^^^^^^^^^^^^^^^ diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index 35b8ea4e43ac..bad2a4585938 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -126,6 +126,7 @@ def env_set_by_user(key): DEFAULT_PORT = 6379 RAY_ADDRESS_ENVIRONMENT_VARIABLE = "RAY_ADDRESS" +RAY_API_SERVER_ADDRESS_ENVIRONMENT_VARIABLE = "RAY_API_SERVER_ADDRESS" RAY_NAMESPACE_ENVIRONMENT_VARIABLE = "RAY_NAMESPACE" RAY_RUNTIME_ENV_ENVIRONMENT_VARIABLE = "RAY_RUNTIME_ENV" RAY_RUNTIME_ENV_URI_PIN_EXPIRATION_S_ENV_VAR = ( diff --git a/python/ray/dashboard/modules/job/cli.py b/python/ray/dashboard/modules/job/cli.py index c90c30c30789..37e93c6cc50b 100644 --- a/python/ray/dashboard/modules/job/cli.py +++ b/python/ray/dashboard/modules/job/cli.py @@ -115,7 +115,7 @@ def job_cli_group(): required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the RAY_ADDRESS environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @click.option( @@ -333,7 +333,7 @@ def submit( required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the `RAY_ADDRESS` environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @click.argument("job-id", type=str) @@ -363,7 +363,7 @@ def status( required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the `RAY_ADDRESS` environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @click.option( @@ -418,7 +418,7 @@ def stop( required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the RAY_ADDRESS environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @click.argument("job-id", type=str) @@ -455,7 +455,7 @@ def delete( required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the RAY_ADDRESS environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @click.argument("job-id", type=str) @@ -508,7 +508,7 @@ def logs( required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " - "using the RAY_ADDRESS environment variable." + "using the RAY_API_SERVER_ADDRESS environment variable (falls back to RAY_ADDRESS)." ), ) @add_common_job_options diff --git a/python/ray/dashboard/modules/job/sdk.py b/python/ray/dashboard/modules/job/sdk.py index f8442e09dbc8..e01c880a0e87 100644 --- a/python/ray/dashboard/modules/job/sdk.py +++ b/python/ray/dashboard/modules/job/sdk.py @@ -46,7 +46,7 @@ class JobSubmissionClient(SubmissionClient): ray.init(), e.g. a Ray Client address (ray://:10001), or "auto", or "localhost:". If unspecified, will try to connect to a running local Ray cluster. This argument is always overridden by the - RAY_ADDRESS environment variable. + RAY_API_SERVER_ADDRESS or RAY_ADDRESS environment variable. create_cluster_if_needed: Indicates whether the cluster at the specified address needs to already be running. Ray doesn't start a cluster before interacting with jobs, but third-party job managers may do so. diff --git a/python/ray/dashboard/modules/job/tests/test_cli_integration.py b/python/ray/dashboard/modules/job/tests/test_cli_integration.py index 883671af0415..872a1c823d57 100644 --- a/python/ray/dashboard/modules/job/tests/test_cli_integration.py +++ b/python/ray/dashboard/modules/job/tests/test_cli_integration.py @@ -142,11 +142,38 @@ def test_empty_ray_address(self, ray_start_stop): assert "succeeded" in stdout @pytest.mark.parametrize( - "ray_client_address", ["127.0.0.1:8265", "ray://127.0.0.1:8265"] + "ray_api_server_address,should_fail", + [ + ("http://127.0.0.1:8265", False), # correct API server + ("127.0.0.1:8265", True), # wrong format without http + ("http://127.0.0.1:9999", True), # wrong port + ], ) - def test_ray_client_address(self, ray_start_stop, ray_client_address: str): + def test_ray_api_server_address( + self, + ray_start_stop, + ray_api_server_address: str, + should_fail: bool, + ): + # Set a `RAY_ADDRESS` that would not work with the `ray job submit` CLI because it uses the `ray://` prefix. + # This verifies that the `RAY_API_SERVER_ADDRESS` env var takes precedence. + with set_env_var("RAY_ADDRESS", "ray://127.0.0.1:8265"): + with set_env_var("RAY_API_SERVER_ADDRESS", ray_api_server_address): + _run_cmd("ray job submit -- echo hello", should_fail=should_fail) + + @pytest.mark.parametrize( + "ray_client_address,should_fail", + [ + ("127.0.0.1:8265", True), + ("ray://127.0.0.1:8265", True), + ("http://127.0.0.1:8265", False), + ], + ) + def test_ray_client_address( + self, ray_start_stop, ray_client_address: str, should_fail: bool + ): with set_env_var("RAY_ADDRESS", ray_client_address): - _run_cmd("ray job submit -- echo hello", should_fail=True) + _run_cmd("ray job submit -- echo hello", should_fail=should_fail) def test_valid_http_ray_address(self, ray_start_stop): stdout, _ = _run_cmd("ray job submit -- echo hello") diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index 47c6340133d4..237992b0d2f0 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -709,9 +709,15 @@ def get_address_for_submission_client(address: Optional[str]) -> str: Returns: API server HTTP URL, e.g. "http://:8265". """ - if os.environ.get("RAY_ADDRESS"): - logger.debug(f"Using RAY_ADDRESS={os.environ['RAY_ADDRESS']}") - address = os.environ["RAY_ADDRESS"] + if api_server_address := os.environ.get( + ray_constants.RAY_API_SERVER_ADDRESS_ENVIRONMENT_VARIABLE + ): + address = api_server_address + logger.debug(f"Using RAY_API_SERVER_ADDRESS={address}") + # Fall back to RAY_ADDRESS if RAY_API_SERVER_ADDRESS not set + elif ray_address := os.environ.get(ray_constants.RAY_ADDRESS_ENVIRONMENT_VARIABLE): + address = ray_address + logger.debug(f"Using RAY_ADDRESS={address}") if address and "://" in address: module_string, _ = split_address(address) diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 1e28c74efd0b..9818eb308604 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -983,7 +983,7 @@ def start( cli_logger.print("To submit a Ray job using the Ray Jobs CLI:") cli_logger.print( cf.bold( - " RAY_ADDRESS='http://{}' ray job submit " + " RAY_API_SERVER_ADDRESS='http://{}' ray job submit " "--working-dir . " "-- python my_script.py" ), diff --git a/python/ray/tests/test_cli_patterns/test_ray_start.txt b/python/ray/tests/test_cli_patterns/test_ray_start.txt index 55d250d62f21..6d6df437a1ca 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_start.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_start.txt @@ -14,7 +14,7 @@ Next steps ray\.init\(\) To submit a Ray job using the Ray Jobs CLI: - RAY_ADDRESS='http://.+:8265' ray job submit --working-dir \. -- python my_script\.py + RAY_API_SERVER_ADDRESS='http://.+:8265' ray job submit --working-dir \. -- python my_script\.py See https://docs\.ray\.io/en/latest/cluster/running-applications/job-submission/index\.html for more information on submitting Ray jobs to the Ray cluster. diff --git a/python/ray/tests/test_cli_patterns/test_ray_start_windows_osx.txt b/python/ray/tests/test_cli_patterns/test_ray_start_windows_osx.txt index b6ea1348f10f..b11b51a275e0 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_start_windows_osx.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_start_windows_osx.txt @@ -15,7 +15,7 @@ Next steps ray\.init\(\) To submit a Ray job using the Ray Jobs CLI: - RAY_ADDRESS='http://.+:8265' ray job submit --working-dir \. -- python my_script\.py + RAY_API_SERVER_ADDRESS='http://.+:8265' ray job submit --working-dir \. -- python my_script\.py See https://docs\.ray\.io/en/latest/cluster/running-applications/job-submission/index\.html for more information on submitting Ray jobs to the Ray cluster. From 555f99ace28e09902fba71d37e69a989b19f687c Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Mon, 11 Aug 2025 20:49:30 -0400 Subject: [PATCH 0628/1566] [Data] Cleaning up `StatsManager` (#55400) ## Why are these changes needed? Just cleaning up, merging 2 overlapping metrics ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/stats.py | 53 ++++++++++++++---------------- 1 file changed, 25 insertions(+), 28 deletions(-) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 1b129f81c5c0..869aa49b84ca 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -633,7 +633,9 @@ def __init__(self): self._update_thread: Optional[threading.Thread] = None self._update_thread_lock: threading.Lock = threading.Lock() - def _get_stats_actor(self, skip_cache: bool = False) -> Optional[ActorHandle]: + def _get_or_create_stats_actor( + self, skip_cache: bool = False + ) -> Optional[ActorHandle]: if ray._private.worker._global_node is None: raise RuntimeError( "Global node is not initialized. Driver might be not connected to Ray." @@ -650,27 +652,13 @@ def _get_stats_actor(self, skip_cache: bool = False) -> Optional[ActorHandle]: self._stats_actor_handle = ray.get_actor( name=STATS_ACTOR_NAME, namespace=STATS_ACTOR_NAMESPACE ) + self._stats_actor_cluster_id = current_cluster_id except ValueError: - return None - self._stats_actor_cluster_id = current_cluster_id - - return self._stats_actor_handle - - def _get_or_create_stats_actor(self) -> Optional[ActorHandle]: - if ray._private.worker._global_node is None: - raise RuntimeError( - "Global node is not initialized. Driver might be not connected to Ray." - ) - - # NOTE: In some cases (for ex, when registering dataset) actor might be gone - # (for ex, when prior driver disconnects) and therefore to avoid using - # stale handle we force looking up the actor with Ray to determine if - # we should create a new one. - actor = self._get_stats_actor(skip_cache=True) - - if actor is None: - self._stats_actor_handle = _get_or_create_stats_actor() - self._stats_actor_cluster_id = ray._private.worker._global_node.cluster_id + # Create an actor if it doesn't exist + self._stats_actor_handle = _get_or_create_stats_actor() + self._stats_actor_cluster_id = ( + ray._private.worker._global_node.cluster_id + ) return self._stats_actor_handle @@ -684,11 +672,7 @@ def _run_update_loop(): while True: if self._last_iteration_stats or self._last_execution_stats: try: - # Do not create _StatsActor if it doesn't exist because - # this thread can be running even after the cluster is - # shutdown. Creating an actor will automatically start - # a new cluster. - stats_actor = self._get_stats_actor() + stats_actor = self._get_or_create_stats_actor() if stats_actor is None: continue stats_actor.update_metrics.remote( @@ -806,7 +790,14 @@ def register_dataset_to_stats_actor( topology: Optional Topology representing the DAG structure to export data_context: The DataContext attached to the dataset """ - self._get_or_create_stats_actor().register_dataset.remote( + + # NOTE: In some cases (for ex, when registering dataset) actor might be gone + # (for ex, when prior driver disconnects) and therefore to avoid using + # stale handle we force looking up the actor with Ray to determine if + # we should create a new one. + stats_actor = self._get_or_create_stats_actor(skip_cache=True) + + stats_actor.register_dataset.remote( ray.get_runtime_context().get_job_id(), dataset_tag, operator_tags, @@ -816,7 +807,13 @@ def register_dataset_to_stats_actor( def get_dataset_id_from_stats_actor(self) -> str: try: - return ray.get(self._get_or_create_stats_actor().get_dataset_id.remote()) + # NOTE: In some cases (for ex, when registering dataset) actor might be gone + # (for ex, when prior driver disconnects) and therefore to avoid using + # stale handle we force looking up the actor with Ray to determine if + # we should create a new one. + stats_actor = self._get_or_create_stats_actor(skip_cache=True) + + return ray.get(stats_actor.get_dataset_id.remote()) except Exception: # Getting dataset id from _StatsActor may fail, in this case # fall back to uuid4 From 3a56f9cca4cff48281bf93fb13a4957068dcf7c8 Mon Sep 17 00:00:00 2001 From: lkchen Date: Mon, 11 Aug 2025 18:25:03 -0700 Subject: [PATCH 0629/1566] [Serve.llm] Adapt vLLM change, use `enable_log_requests` if `disable_log_requests` is missing (#55336) Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/vllm/vllm_models.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index a2b0ec2b8d92..12b7635243ad 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -92,9 +92,24 @@ def get_initialization_kwargs(self) -> dict: else: engine_kwargs["distributed_executor_backend"] = "ray" - if "disable_log_requests" not in engine_kwargs: + # TODO(lk-chen): Remove the logic once we require vllm>=0.10.1 + # vLLM 0.10.1 replaces `disable_log_requests` with + # `enable_log_requests`. Here we are trying to be compatible with both. + if hasattr(AsyncEngineArgs, "enable_log_requests"): + if "disable_log_requests" in engine_kwargs: + logger.warning( + "disable_log_requests is set in engine_kwargs, but vLLM " + "does not support it. Converting to enable_log_requests." + ) + engine_kwargs["enable_log_requests"] = not engine_kwargs.pop( + "disable_log_requests" + ) + else: + engine_kwargs["enable_log_requests"] = False + elif "disable_log_requests" not in engine_kwargs: logger.info( - "Disabling request logging by default. To enable, set to False in engine_kwargs." + "Disabling request logging by default. To enable, set to False" + " in engine_kwargs." ) engine_kwargs["disable_log_requests"] = True From 719055d88f31882a5f66414fb78eedaae62a22a5 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 11 Aug 2025 19:01:49 -0700 Subject: [PATCH 0630/1566] [image] check gpu image with cuda directory (#55497) instead of checking on base image. also removes g++ for arm cpu images; arm does not need g++ for future package building any more. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 94259767c134..4d183a6ba892 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -5,8 +5,6 @@ # The GPU options are NVIDIA CUDA developer images. ARG BASE_IMAGE="ubuntu:22.04" FROM ${BASE_IMAGE} -# FROM directive resets ARG -ARG BASE_IMAGE # If this arg is not "autoscaler" then no autoscaler requirements will be included ENV TZ=America/Los_Angeles ENV LC_ALL=C.UTF-8 @@ -122,7 +120,7 @@ uv pip uninstall --system dask sudo apt-get autoremove -y cmake zlib1g-dev # We keep g++ on GPU images, because uninstalling removes CUDA Devel tooling -if [[ "$BASE_IMAGE" == "ubuntu:22.04" && "$HOSTTYPE" == "x86_64" ]]; then +if [[ ! -d /usr/local/cuda ]]; then sudo apt-get autoremove -y g++ fi From 88fcfbad8f12190443340c90b2f0221b988195c1 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 11 Aug 2025 21:24:36 -0700 Subject: [PATCH 0631/1566] Add `orjson` as a dependency for release test images (#55313) ## Why are these changes needed? This PR adds `orjson` to our release test images because it's a common package that will be used in testing. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- release/ray_release/byod/requirements_byod_3.9.in | 1 + 1 file changed, 1 insertion(+) diff --git a/release/ray_release/byod/requirements_byod_3.9.in b/release/ray_release/byod/requirements_byod_3.9.in index 3f45139e034c..a4ce891981f8 100644 --- a/release/ray_release/byod/requirements_byod_3.9.in +++ b/release/ray_release/byod/requirements_byod_3.9.in @@ -39,3 +39,4 @@ xarray xgboost zarr pyyaml +orjson From 36e81424aea5e5625b4e202a109c957e15f63cf0 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 12 Aug 2025 11:15:17 +0530 Subject: [PATCH 0632/1566] [core] deflake test_actors::test_kill_actor_gcs (#55479) Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../modules/reporter/tests/test_actors.py | 37 ++++++++----------- 1 file changed, 16 insertions(+), 21 deletions(-) diff --git a/python/ray/dashboard/modules/reporter/tests/test_actors.py b/python/ray/dashboard/modules/reporter/tests/test_actors.py index 47eea650b2c0..763c66d866b4 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_actors.py +++ b/python/ray/dashboard/modules/reporter/tests/test_actors.py @@ -3,12 +3,15 @@ import sys import time +import psutil import pytest import requests import ray from ray._private.test_utils import format_web_url, wait_until_server_available from ray.dashboard.tests.conftest import * # noqa +from ray._common.test_utils import wait_for_condition +from ray._private.state_api_test_utils import _is_actor_task_running logger = logging.getLogger(__name__) @@ -16,23 +19,8 @@ def _actor_killed(pid: str) -> bool: - """Check For the existence of a unix pid.""" - try: - os.kill(pid, 0) - except OSError: - return True - else: - return False - - -def _actor_killed_loop(worker_pid: str, timeout_secs=3) -> bool: - dead = False - for _ in range(timeout_secs): - time.sleep(1) - if _actor_killed(worker_pid): - dead = True - break - return dead + """Check if a process with given pid is running.""" + return not psutil.pid_exists(int(pid)) def _kill_actor_using_dashboard_gcs( @@ -44,6 +32,7 @@ def _kill_actor_using_dashboard_gcs( "actor_id": actor_id, "force_kill": force_kill, }, + timeout=5, ) assert resp.status_code == expected_status_code resp_json = resp.json() @@ -78,7 +67,7 @@ def loop(self): OK = 200 NOT_FOUND = 404 - # Kill an non-existent actor + # Kill a non-existent actor resp = _kill_actor_using_dashboard_gcs( webui_url, "non-existent-actor-id", NOT_FOUND ) @@ -87,7 +76,7 @@ def loop(self): # Kill the actor resp = _kill_actor_using_dashboard_gcs(webui_url, actor_id, OK, force_kill=False) assert "It will exit once running tasks complete" in resp["msg"] - assert _actor_killed_loop(worker_pid) + wait_for_condition(lambda: _actor_killed(worker_pid)) # Create an actor and have it loop a = Actor.remote() @@ -95,15 +84,21 @@ def loop(self): actor_id = a._ray_actor_id.hex() a.loop.remote() + # wait for loop() to start + wait_for_condition(lambda: _is_actor_task_running(worker_pid, "Actor.loop")) + # Try to kill the actor, it should not die since a task is running resp = _kill_actor_using_dashboard_gcs(webui_url, actor_id, OK, force_kill=False) assert "It will exit once running tasks complete" in resp["msg"] - assert not _actor_killed_loop(worker_pid, timeout_secs=1) + with pytest.raises( + RuntimeError, match="The condition wasn't met before the timeout expired." + ): + wait_for_condition(lambda: _actor_killed(worker_pid), 1) # Force kill the actor resp = _kill_actor_using_dashboard_gcs(webui_url, actor_id, OK, force_kill=True) assert "Force killed actor with id" in resp["msg"] - assert _actor_killed_loop(worker_pid) + wait_for_condition(lambda: _actor_killed(worker_pid)) if __name__ == "__main__": From be9b0daadc6f44e465f2ad26b4aa38f4b36cde65 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 11 Aug 2025 23:06:16 -0700 Subject: [PATCH 0633/1566] [ci] add orjson to release test images (#55518) and update lock files also tries to sort the requirements list Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../ray_release/byod/requirements_byod_3.9.in | 4 +- .../byod/requirements_byod_3.9.txt | 57 ++++++++++++++++++- .../byod/requirements_ml_byod_3.9.in | 1 + .../byod/requirements_ml_byod_3.9.txt | 54 ++++++++++++++++++ 4 files changed, 112 insertions(+), 4 deletions(-) diff --git a/release/ray_release/byod/requirements_byod_3.9.in b/release/ray_release/byod/requirements_byod_3.9.in index a4ce891981f8..248863c233c5 100644 --- a/release/ray_release/byod/requirements_byod_3.9.in +++ b/release/ray_release/byod/requirements_byod_3.9.in @@ -17,11 +17,13 @@ lightgbm locust==2.18.0 memray openskill +orjson petastorm protobuf pyarrow pydantic>=2.5.0 pytest +pyyaml requests>=2.31.0 semidbm s3fs @@ -38,5 +40,3 @@ typing-extensions xarray xgboost zarr -pyyaml -orjson diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 7a28fcc4d03c..3613efcea7f5 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -1199,7 +1199,7 @@ greenlet==3.0.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gevent -grpcio==1.66.2 ; sys_platform != "darwin" \ +grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ @@ -1256,7 +1256,6 @@ grpcio==1.66.2 ; sys_platform != "darwin" \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c release/ray_release/byod/requirements_compiled.txt # tensorboard # tensorflow gsutil==5.27 \ @@ -1816,6 +1815,60 @@ opt-einsum==3.3.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow +orjson==3.9.10 \ + --hash=sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83 \ + --hash=sha256:0a73160e823151f33cdc05fe2cea557c5ef12fdf276ce29bb4f1c571c8368a60 \ + --hash=sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9 \ + --hash=sha256:1d0dc4310da8b5f6415949bd5ef937e60aeb0eb6b16f95041b5e43e6200821fb \ + --hash=sha256:2a11b4b1a8415f105d989876a19b173f6cdc89ca13855ccc67c18efbd7cbd1f8 \ + --hash=sha256:2e2ecd1d349e62e3960695214f40939bbfdcaeaaa62ccc638f8e651cf0970e5f \ + --hash=sha256:3a2ce5ea4f71681623f04e2b7dadede3c7435dfb5e5e2d1d0ec25b35530e277b \ + --hash=sha256:3e892621434392199efb54e69edfff9f699f6cc36dd9553c5bf796058b14b20d \ + --hash=sha256:3fb205ab52a2e30354640780ce4587157a9563a68c9beaf52153e1cea9aa0921 \ + --hash=sha256:4689270c35d4bb3102e103ac43c3f0b76b169760aff8bcf2d401a3e0e58cdb7f \ + --hash=sha256:49f8ad582da6e8d2cf663c4ba5bf9f83cc052570a3a767487fec6af839b0e777 \ + --hash=sha256:4bd176f528a8151a6efc5359b853ba3cc0e82d4cd1fab9c1300c5d957dc8f48c \ + --hash=sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e \ + --hash=sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d \ + --hash=sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5 \ + --hash=sha256:5869e8e130e99687d9e4be835116c4ebd83ca92e52e55810962446d841aba8de \ + --hash=sha256:602a8001bdf60e1a7d544be29c82560a7b49319a0b31d62586548835bbe2c862 \ + --hash=sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7 \ + --hash=sha256:666c6fdcaac1f13eb982b649e1c311c08d7097cbda24f32612dae43648d8db8d \ + --hash=sha256:674eb520f02422546c40401f4efaf8207b5e29e420c17051cddf6c02783ff5ca \ + --hash=sha256:7ec960b1b942ee3c69323b8721df2a3ce28ff40e7ca47873ae35bfafeb4555ca \ + --hash=sha256:7f433be3b3f4c66016d5a20e5b4444ef833a1f802ced13a2d852c637f69729c1 \ + --hash=sha256:7f8fb7f5ecf4f6355683ac6881fd64b5bb2b8a60e3ccde6ff799e48791d8f864 \ + --hash=sha256:81a3a3a72c9811b56adf8bcc829b010163bb2fc308877e50e9910c9357e78521 \ + --hash=sha256:858379cbb08d84fe7583231077d9a36a1a20eb72f8c9076a45df8b083724ad1d \ + --hash=sha256:8b9ba0ccd5a7f4219e67fbbe25e6b4a46ceef783c42af7dbc1da548eb28b6531 \ + --hash=sha256:92af0d00091e744587221e79f68d617b432425a7e59328ca4c496f774a356071 \ + --hash=sha256:9ebbdbd6a046c304b1845e96fbcc5559cd296b4dfd3ad2509e33c4d9ce07d6a1 \ + --hash=sha256:9edd2856611e5050004f4722922b7b1cd6268da34102667bd49d2a2b18bafb81 \ + --hash=sha256:a353bf1f565ed27ba71a419b2cd3db9d6151da426b61b289b6ba1422a702e643 \ + --hash=sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1 \ + --hash=sha256:b90f340cb6397ec7a854157fac03f0c82b744abdd1c0941a024c3c29d1340aff \ + --hash=sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4 \ + --hash=sha256:c338ed69ad0b8f8f8920c13f529889fe0771abbb46550013e3c3d01e5174deef \ + --hash=sha256:c5a02360e73e7208a872bf65a7554c9f15df5fe063dc047f79738998b0506a14 \ + --hash=sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b \ + --hash=sha256:c812312847867b6335cfb264772f2a7e85b3b502d3a6b0586aa35e1858528ab1 \ + --hash=sha256:c943b35ecdf7123b2d81d225397efddf0bce2e81db2f3ae633ead38e85cd5ade \ + --hash=sha256:ce0a29c28dfb8eccd0f16219360530bc3cfdf6bf70ca384dacd36e6c650ef8e8 \ + --hash=sha256:cf80b550092cc480a0cbd0750e8189247ff45457e5a023305f7ef1bcec811616 \ + --hash=sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9 \ + --hash=sha256:d2c1e559d96a7f94a4f581e2a32d6d610df5840881a8cba8f25e446f4d792df3 \ + --hash=sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc \ + --hash=sha256:e28a50b5be854e18d54f75ef1bb13e1abf4bc650ab9d635e4258c58e71eb6ad5 \ + --hash=sha256:e99c625b8c95d7741fe057585176b1b8783d46ed4b8932cf98ee145c4facf499 \ + --hash=sha256:ec6f18f96b47299c11203edfbdc34e1b69085070d9a3d1f302810cc23ad36bf3 \ + --hash=sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7 \ + --hash=sha256:ee5926746232f627a3be1cc175b2cfad24d0170d520361f4ce3fa2fd83f09e1d \ + --hash=sha256:f295efcd47b6124b01255d1491f9e46f17ef40d3d7eabf7364099e463fb45f0f \ + --hash=sha256:fb0b361d73f6b8eeceba47cd37070b5e6c9de5beaeaa63a1cb35c7e1a73ef088 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.in b/release/ray_release/byod/requirements_ml_byod_3.9.in index 6e93e852e7ed..1a7ce561af71 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.in +++ b/release/ray_release/byod/requirements_ml_byod_3.9.in @@ -27,6 +27,7 @@ modin numpy openai-whisper openskill +orjson petastorm protobuf pyarrow diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index 84b41c4c5447..e907ad35cae5 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -2310,6 +2310,60 @@ openskill==6.0.0 \ --hash=sha256:eee2d0b3c1648663a480cf4680654dfd12bdc749a96d611b1904e191f2632f62 \ --hash=sha256:f89b18930c2befd580407e7cf80a480bc69c3b25d2841346be6d875c8c4bc92e # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +orjson==3.9.10 \ + --hash=sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83 \ + --hash=sha256:0a73160e823151f33cdc05fe2cea557c5ef12fdf276ce29bb4f1c571c8368a60 \ + --hash=sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9 \ + --hash=sha256:1d0dc4310da8b5f6415949bd5ef937e60aeb0eb6b16f95041b5e43e6200821fb \ + --hash=sha256:2a11b4b1a8415f105d989876a19b173f6cdc89ca13855ccc67c18efbd7cbd1f8 \ + --hash=sha256:2e2ecd1d349e62e3960695214f40939bbfdcaeaaa62ccc638f8e651cf0970e5f \ + --hash=sha256:3a2ce5ea4f71681623f04e2b7dadede3c7435dfb5e5e2d1d0ec25b35530e277b \ + --hash=sha256:3e892621434392199efb54e69edfff9f699f6cc36dd9553c5bf796058b14b20d \ + --hash=sha256:3fb205ab52a2e30354640780ce4587157a9563a68c9beaf52153e1cea9aa0921 \ + --hash=sha256:4689270c35d4bb3102e103ac43c3f0b76b169760aff8bcf2d401a3e0e58cdb7f \ + --hash=sha256:49f8ad582da6e8d2cf663c4ba5bf9f83cc052570a3a767487fec6af839b0e777 \ + --hash=sha256:4bd176f528a8151a6efc5359b853ba3cc0e82d4cd1fab9c1300c5d957dc8f48c \ + --hash=sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e \ + --hash=sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d \ + --hash=sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5 \ + --hash=sha256:5869e8e130e99687d9e4be835116c4ebd83ca92e52e55810962446d841aba8de \ + --hash=sha256:602a8001bdf60e1a7d544be29c82560a7b49319a0b31d62586548835bbe2c862 \ + --hash=sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7 \ + --hash=sha256:666c6fdcaac1f13eb982b649e1c311c08d7097cbda24f32612dae43648d8db8d \ + --hash=sha256:674eb520f02422546c40401f4efaf8207b5e29e420c17051cddf6c02783ff5ca \ + --hash=sha256:7ec960b1b942ee3c69323b8721df2a3ce28ff40e7ca47873ae35bfafeb4555ca \ + --hash=sha256:7f433be3b3f4c66016d5a20e5b4444ef833a1f802ced13a2d852c637f69729c1 \ + --hash=sha256:7f8fb7f5ecf4f6355683ac6881fd64b5bb2b8a60e3ccde6ff799e48791d8f864 \ + --hash=sha256:81a3a3a72c9811b56adf8bcc829b010163bb2fc308877e50e9910c9357e78521 \ + --hash=sha256:858379cbb08d84fe7583231077d9a36a1a20eb72f8c9076a45df8b083724ad1d \ + --hash=sha256:8b9ba0ccd5a7f4219e67fbbe25e6b4a46ceef783c42af7dbc1da548eb28b6531 \ + --hash=sha256:92af0d00091e744587221e79f68d617b432425a7e59328ca4c496f774a356071 \ + --hash=sha256:9ebbdbd6a046c304b1845e96fbcc5559cd296b4dfd3ad2509e33c4d9ce07d6a1 \ + --hash=sha256:9edd2856611e5050004f4722922b7b1cd6268da34102667bd49d2a2b18bafb81 \ + --hash=sha256:a353bf1f565ed27ba71a419b2cd3db9d6151da426b61b289b6ba1422a702e643 \ + --hash=sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1 \ + --hash=sha256:b90f340cb6397ec7a854157fac03f0c82b744abdd1c0941a024c3c29d1340aff \ + --hash=sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4 \ + --hash=sha256:c338ed69ad0b8f8f8920c13f529889fe0771abbb46550013e3c3d01e5174deef \ + --hash=sha256:c5a02360e73e7208a872bf65a7554c9f15df5fe063dc047f79738998b0506a14 \ + --hash=sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b \ + --hash=sha256:c812312847867b6335cfb264772f2a7e85b3b502d3a6b0586aa35e1858528ab1 \ + --hash=sha256:c943b35ecdf7123b2d81d225397efddf0bce2e81db2f3ae633ead38e85cd5ade \ + --hash=sha256:ce0a29c28dfb8eccd0f16219360530bc3cfdf6bf70ca384dacd36e6c650ef8e8 \ + --hash=sha256:cf80b550092cc480a0cbd0750e8189247ff45457e5a023305f7ef1bcec811616 \ + --hash=sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9 \ + --hash=sha256:d2c1e559d96a7f94a4f581e2a32d6d610df5840881a8cba8f25e446f4d792df3 \ + --hash=sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc \ + --hash=sha256:e28a50b5be854e18d54f75ef1bb13e1abf4bc650ab9d635e4258c58e71eb6ad5 \ + --hash=sha256:e99c625b8c95d7741fe057585176b1b8783d46ed4b8932cf98ee145c4facf499 \ + --hash=sha256:ec6f18f96b47299c11203edfbdc34e1b69085070d9a3d1f302810cc23ad36bf3 \ + --hash=sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7 \ + --hash=sha256:ee5926746232f627a3be1cc175b2cfad24d0170d520361f4ce3fa2fd83f09e1d \ + --hash=sha256:f295efcd47b6124b01255d1491f9e46f17ef40d3d7eabf7364099e463fb45f0f \ + --hash=sha256:fb0b361d73f6b8eeceba47cd37070b5e6c9de5beaeaa63a1cb35c7e1a73ef088 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 From fefa2757900e420e1d1e2136e195ab1172c73271 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 11 Aug 2025 23:07:02 -0700 Subject: [PATCH 0634/1566] [llm] add grpcio-tools into the depset (#55514) protobuf is upgraded to 4, and `grpcio-tool` compiles now, so we no longer need to ignore it. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/compile_llm_requirements.sh | 2 - .../requirements_compiled_ray_py311_cpu.txt | 2 +- .../requirements_compiled_ray_py311_cu121.txt | 2 +- .../requirements_compiled_ray_py311_cu128.txt | 2 +- ...quirements_compiled_ray_test_py311_cpu.txt | 55 ++++++++++++++++++- ...irements_compiled_ray_test_py311_cu121.txt | 55 ++++++++++++++++++- ...irements_compiled_ray_test_py311_cu128.txt | 55 ++++++++++++++++++- ...requirements_compiled_rayllm_py311_cpu.txt | 2 +- ...quirements_compiled_rayllm_py311_cu121.txt | 2 +- ...quirements_compiled_rayllm_py311_cu128.txt | 2 +- ...rements_compiled_rayllm_test_py311_cpu.txt | 55 ++++++++++++++++++- ...ments_compiled_rayllm_test_py311_cu121.txt | 55 ++++++++++++++++++- ...ments_compiled_rayllm_test_py311_cu128.txt | 55 ++++++++++++++++++- 13 files changed, 324 insertions(+), 20 deletions(-) diff --git a/ci/compile_llm_requirements.sh b/ci/compile_llm_requirements.sh index b12e7df6c07d..5932d1e005b9 100755 --- a/ci/compile_llm_requirements.sh +++ b/ci/compile_llm_requirements.sh @@ -17,8 +17,6 @@ for CUDA_CODE in cpu cu121 cu128; do UV_PIP_COMPILE=( uv pip compile --generate-hashes --strip-extras --unsafe-package ray - # The version we use on python 3.9 is not installable on python 3.11 - --unsafe-package grpcio-tools # setuptools should not be pinned. --unsafe-package setuptools --index-url "https://pypi.org/simple" diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 1398bbae57df..5cac2c637eaf 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index e3e854a33f4d..f50394202b62 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index f1b0a3107207..28c3d535db38 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index d8bae7252f61..989c6654e83d 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -1008,6 +1008,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -3399,5 +3451,4 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# grpcio-tools # setuptools diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index ab15c20d3ec4..f9fb02769003 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -1008,6 +1008,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -3399,5 +3451,4 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# grpcio-tools # setuptools diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index ff57573edfbe..21697b75b978 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -1008,6 +1008,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -3399,5 +3451,4 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# grpcio-tools # setuptools diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 96179efeaef6..f98d7fb01c4c 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 61dfd0f354e5..b28613cf00e4 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 0435a7e31115..a944365fb566 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 5c59d6a2d967..e96f530c2310 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -1218,6 +1218,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -4838,5 +4890,4 @@ zipp==3.19.2 \ # The following packages were excluded from the output: # ray -# grpcio-tools # setuptools diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index b33cc1e6eb75..b7987154666c 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -1218,6 +1218,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -4949,5 +5001,4 @@ zipp==3.19.2 \ # The following packages were excluded from the output: # ray -# grpcio-tools # setuptools diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 56592053ec4f..b50bdfd3c41b 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -1217,6 +1217,58 @@ grpcio==1.66.2 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -r python/requirements/cloud-requirements.txt gymnasium==1.0.0 \ --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad @@ -4839,5 +4891,4 @@ zipp==3.19.2 \ # The following packages were excluded from the output: # ray -# grpcio-tools # setuptools From c90d202258fd2905ce3f0eb238ae58c90f1b8e39 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 12 Aug 2025 18:45:16 +0530 Subject: [PATCH 0635/1566] [core] fix test_unpickleable_stacktrace test on windows (#55523) fix `test_traceback::test_unpickleable_stacktrace()` test case on windows by scrubbing logs related to `ray._raylet` before assertion ci run with failure: https://buildkite.com/ray-project/postmerge/builds/12165#01989bf5-4008-4098-a6ff-1963047047a6/3056-3537 --------- Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- python/ray/tests/test_traceback.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index bb1f37755714..4d8c20bc24ce 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -54,6 +54,13 @@ def scrub_traceback(ex): ) # Clean up underscore in stack trace, which is new in python 3.12 ex = re.sub("^\\s+~*\\^+~*\n", "", ex, flags=re.MULTILINE) + # Remove internal Cython frames from ray._raylet that can appear on Windows. + ex = re.sub( + r"^\s*File \"FILE\", line ZZ, in ray\._raylet\.[^\n]+\n", + "", + ex, + flags=re.MULTILINE, + ) return ex From 98171992bfafee82df6c9aa4019eb2aff5e6a21c Mon Sep 17 00:00:00 2001 From: Markus <44006014+minosvasilias@users.noreply.github.com> Date: Tue, 12 Aug 2025 16:16:58 +0200 Subject: [PATCH 0636/1566] Upgrade commons-lang3 to fix CVE-2025-48924 (#55524) Fixes [CVE-2025-48924](https://nvd.nist.gov/vuln/detail/CVE-2025-48924) by upgrading the `commons-lang3` dependency. Vulnerabilities such as this one, even if not severe, can block deployments of ray within certain enterprise environments. Closes #55068 Signed-off-by: Markus Signed-off-by: Douglas Strodtman --- java/dependencies.bzl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/java/dependencies.bzl b/java/dependencies.bzl index 21c621af9b07..c19e82bb757f 100644 --- a/java/dependencies.bzl +++ b/java/dependencies.bzl @@ -18,7 +18,7 @@ def gen_java_deps(): "de.ruedigermoeller:fst:2.57", "javax.xml.bind:jaxb-api:2.3.0", "javax.activation:activation:1.1.1", - "org.apache.commons:commons-lang3:3.13.0", + "org.apache.commons:commons-lang3:3.18.0", "org.msgpack:msgpack-core:0.8.20", "org.ow2.asm:asm:6.0", "org.apache.logging.log4j:log4j-api:2.17.1", From feb218d88ec27d2327ba090aa18f1e92a98065f3 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 12 Aug 2025 08:44:56 -0700 Subject: [PATCH 0637/1566] [core] Refactoring rayletID to nodeID (#55474) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- .../java/io/ray/runtime/gcs/GcsClient.java | 4 +- python/ray/_private/state.py | 4 +- python/ray/autoscaler/_private/autoscaler.py | 26 +++---- .../ray/autoscaler/_private/load_metrics.py | 10 +-- .../components/ActorTable.component.test.tsx | 6 +- .../client/src/components/ActorTable.tsx | 12 +-- .../client/src/pages/actor/ActorDetail.tsx | 10 +-- .../client/src/pages/actor/ActorLogs.tsx | 4 +- .../pages/actor/hook/mockedUseActorList.ts | 10 +-- .../serve/ServeSystemActorDetailPage.tsx | 4 +- python/ray/dashboard/client/src/type/actor.ts | 2 +- .../ray/dashboard/modules/log/log_manager.py | 2 +- .../ray/dashboard/modules/node/datacenter.py | 6 +- .../ray/dashboard/modules/node/node_head.py | 8 +- .../modules/node/tests/test_actor.py | 4 +- python/ray/dashboard/state_aggregator.py | 4 +- python/ray/dashboard/utils.py | 2 +- python/ray/tests/test_advanced_2.py | 12 +-- python/ray/tests/test_autoscaler.py | 76 +++++++++---------- python/ray/tests/test_autoscaling_policy.py | 6 +- .../tests/test_resource_demand_scheduler.py | 58 +++++++------- python/ray/tests/test_state_api.py | 4 +- python/ray/tests/test_state_api_log.py | 2 +- src/fakes/ray/ipc/raylet_ipc_client.h | 2 +- src/mock/ray/core_worker/reference_count.h | 2 +- src/ray/common/bundle_spec.h | 2 +- src/ray/common/task/task_spec.cc | 2 +- src/ray/common/test/task_spec_test.cc | 2 +- src/ray/core_worker/actor_manager.cc | 4 +- src/ray/core_worker/core_worker.cc | 8 +- src/ray/core_worker/core_worker.h | 2 +- src/ray/core_worker/core_worker_process.cc | 20 ++--- .../core_worker/object_recovery_manager.cc | 2 +- src/ray/core_worker/reference_count.cc | 44 +++++------ src/ray/core_worker/reference_count.h | 22 +++--- src/ray/core_worker/task_manager.cc | 14 ++-- src/ray/core_worker/task_manager.h | 2 +- .../task_submission/actor_task_submitter.cc | 2 +- .../task_submission/normal_task_submitter.cc | 38 +++++----- .../task_submission/normal_task_submitter.h | 8 +- .../test/normal_task_submitter_test.cc | 32 ++++---- src/ray/core_worker/test/core_worker_test.cc | 2 +- src/ray/core_worker/test/lease_policy_test.cc | 20 ++--- .../test/object_recovery_manager_test.cc | 12 +-- .../core_worker/test/reference_count_test.cc | 2 +- src/ray/core_worker/test/task_manager_test.cc | 2 +- src/ray/flatbuffers/node_manager.fbs | 4 +- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 14 ++-- src/ray/gcs/gcs_server/gcs_actor_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 26 +++---- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 2 +- src/ray/gcs/gcs_server/gcs_job_manager.cc | 2 +- .../gcs_placement_group_scheduler.cc | 2 +- src/ray/gcs/gcs_server/gcs_server.cc | 6 +- src/ray/gcs/gcs_server/gcs_worker_manager.cc | 7 +- .../gcs_actor_manager_export_event_test.cc | 2 +- .../gcs_server/test/gcs_actor_manager_test.cc | 44 +++++------ .../test/gcs_actor_scheduler_mock_test.cc | 4 +- .../test/gcs_actor_scheduler_test.cc | 6 +- .../gcs_server/test/gcs_job_manager_test.cc | 8 +- .../gcs_server/test/gcs_server_test_util.h | 13 ++-- src/ray/gcs/pb_util.h | 2 +- src/ray/gcs/test/gcs_test_util.h | 8 +- src/ray/ipc/raylet_ipc_client.cc | 6 +- src/ray/ipc/raylet_ipc_client.h | 6 +- src/ray/object_manager/common.h | 6 +- src/ray/object_manager/object_manager.cc | 2 +- .../ownership_object_directory.cc | 2 +- src/ray/object_manager/plasma/plasma.fbs | 4 +- src/ray/object_manager/plasma/protocol.cc | 8 +- .../plasma/test/object_store_test.cc | 2 +- .../test/ownership_object_directory_test.cc | 2 +- .../test/spilled_object_test.cc | 28 +++---- src/ray/protobuf/common.proto | 2 +- src/ray/protobuf/gcs.proto | 2 +- src/ray/pubsub/test/subscriber_test.cc | 2 +- src/ray/raylet/local_object_manager.cc | 2 +- src/ray/raylet/local_task_manager.cc | 4 +- src/ray/raylet/node_manager.cc | 14 ++-- .../raylet/scheduling/cluster_task_manager.cc | 2 +- .../scheduling/cluster_task_manager_test.cc | 43 +++++------ src/ray/raylet/test/node_manager_test.cc | 2 +- .../rpc/node_manager/raylet_client_pool.cc | 34 ++++----- .../test/raylet_client_pool_test.cc | 6 +- .../rpc/test/core_worker_client_pool_test.cc | 6 +- src/ray/rpc/worker/core_worker_client.h | 2 +- src/ray/rpc/worker/core_worker_client_pool.cc | 4 +- 87 files changed, 428 insertions(+), 437 deletions(-) diff --git a/java/runtime/src/main/java/io/ray/runtime/gcs/GcsClient.java b/java/runtime/src/main/java/io/ray/runtime/gcs/GcsClient.java index 5a8d11f84bcf..65c7c629f388 100644 --- a/java/runtime/src/main/java/io/ray/runtime/gcs/GcsClient.java +++ b/java/runtime/src/main/java/io/ray/runtime/gcs/GcsClient.java @@ -122,10 +122,10 @@ public List getAllActorInfo(JobId jobId, ActorState actorState) { try { Gcs.ActorTableData info = Gcs.ActorTableData.parseFrom(result); UniqueId nodeId = UniqueId.NIL; - if (!info.getAddress().getRayletId().isEmpty()) { + if (!info.getAddress().getNodeId().isEmpty()) { nodeId = UniqueId.fromByteBuffer( - ByteBuffer.wrap(info.getAddress().getRayletId().toByteArray())); + ByteBuffer.wrap(info.getAddress().getNodeId().toByteArray())); } actorInfos.add( new ActorInfo( diff --git a/python/ray/_private/state.py b/python/ray/_private/state.py index 8c17054b5730..331ba4a1fea6 100644 --- a/python/ray/_private/state.py +++ b/python/ray/_private/state.py @@ -138,12 +138,12 @@ def _gen_actor_info(self, actor_table_data): "Address": { "IPAddress": actor_table_data.address.ip_address, "Port": actor_table_data.address.port, - "NodeID": binary_to_hex(actor_table_data.address.raylet_id), + "NodeID": binary_to_hex(actor_table_data.address.node_id), }, "OwnerAddress": { "IPAddress": actor_table_data.owner_address.ip_address, "Port": actor_table_data.owner_address.port, - "NodeID": binary_to_hex(actor_table_data.owner_address.raylet_id), + "NodeID": binary_to_hex(actor_table_data.owner_address.node_id), }, "State": gcs_pb2.ActorTableData.ActorState.DESCRIPTOR.values_by_number[ actor_table_data.state diff --git a/python/ray/autoscaler/_private/autoscaler.py b/python/ray/autoscaler/_private/autoscaler.py index 8fbd8fc60960..2051977bf655 100644 --- a/python/ray/autoscaler/_private/autoscaler.py +++ b/python/ray/autoscaler/_private/autoscaler.py @@ -635,10 +635,10 @@ def drain_nodes_via_gcs(self, provider_node_ids_to_drain: List[NodeID]): # For type checking, assert that this object has been instantitiated. assert self.provider - # The GCS expects Raylet ids in the request, rather than NodeProvider - # ids. To get the Raylet ids of the nodes to we're draining, we make + # The GCS expects Node ids in the request, rather than NodeProvider + # ids. To get the Node ids of the nodes to we're draining, we make # the following translations of identifiers: - # node provider node id -> ip -> raylet id + # node provider node id -> ip -> node id # Convert node provider node ids to ips. node_ips = set() @@ -660,29 +660,29 @@ def drain_nodes_via_gcs(self, provider_node_ids_to_drain: List[NodeID]): # Only attempt to drain connected nodes, i.e. nodes with ips in # LoadMetrics. - connected_node_ips = node_ips & self.load_metrics.raylet_id_by_ip.keys() + connected_node_ips = node_ips & self.load_metrics.node_id_by_ip.keys() - # Convert ips to Raylet ids. - # (The assignment ip->raylet_id is well-defined under current + # Convert ips to Node ids. + # (The assignment ip->node_id is well-defined under current # assumptions. See "use_node_id_as_ip" in monitor.py) - raylet_ids_to_drain = { - self.load_metrics.raylet_id_by_ip[ip] for ip in connected_node_ips + node_ids_to_drain = { + self.load_metrics.node_id_by_ip[ip] for ip in connected_node_ips } - if not raylet_ids_to_drain: + if not node_ids_to_drain: return - logger.info(f"Draining {len(raylet_ids_to_drain)} raylet(s).") + logger.info(f"Draining {len(node_ids_to_drain)} raylet(s).") try: # A successful response indicates that the GCS has marked the # desired nodes as "drained." The cloud provider can then terminate # the nodes without the GCS printing an error. # Check if we succeeded in draining all of the intended nodes by # looking at the RPC response. - drained_raylet_ids = set( - self.gcs_client.drain_nodes(raylet_ids_to_drain, timeout=5) + drained_node_ids = set( + self.gcs_client.drain_nodes(node_ids_to_drain, timeout=5) ) - failed_to_drain = raylet_ids_to_drain - drained_raylet_ids + failed_to_drain = node_ids_to_drain - drained_node_ids if failed_to_drain: self.prom_metrics.drain_node_exceptions.inc() logger.error(f"Failed to drain {len(failed_to_drain)} raylet(s).") diff --git a/python/ray/autoscaler/_private/load_metrics.py b/python/ray/autoscaler/_private/load_metrics.py index 2e083730aa30..ec94647bda9c 100644 --- a/python/ray/autoscaler/_private/load_metrics.py +++ b/python/ray/autoscaler/_private/load_metrics.py @@ -73,7 +73,7 @@ def __init__(self): self.last_heartbeat_time_by_ip = {} self.static_resources_by_ip = {} self.dynamic_resources_by_ip = {} - self.raylet_id_by_ip = {} + self.node_id_by_ip = {} self.waiting_bundles = [] self.infeasible_bundles = [] self.pending_placement_groups = [] @@ -85,12 +85,12 @@ def __bool__(self): """A load metrics instance is Falsey iff the autoscaler process has not received a resource message from the GCS. """ - return bool(self.raylet_id_by_ip) + return bool(self.node_id_by_ip) def update( self, ip: str, - raylet_id: bytes, + node_id: bytes, static_resources: Dict[str, Dict], dynamic_resources: Dict[str, Dict], node_idle_duration_s: float, @@ -100,7 +100,7 @@ def update( cluster_full_of_actors_detected: bool = False, ): self.static_resources_by_ip[ip] = static_resources - self.raylet_id_by_ip[ip] = raylet_id + self.node_id_by_ip[ip] = node_id self.cluster_full_of_actors_detected = cluster_full_of_actors_detected if not waiting_bundles: @@ -163,7 +163,7 @@ def prune(mapping, should_log): prune(self.ray_nodes_last_used_time_by_ip, should_log=True) prune(self.static_resources_by_ip, should_log=False) - prune(self.raylet_id_by_ip, should_log=False) + prune(self.node_id_by_ip, should_log=False) prune(self.dynamic_resources_by_ip, should_log=False) prune(self.last_heartbeat_time_by_ip, should_log=False) diff --git a/python/ray/dashboard/client/src/components/ActorTable.component.test.tsx b/python/ray/dashboard/client/src/components/ActorTable.component.test.tsx index cebe9825ed7a..ec58ad0f568c 100644 --- a/python/ray/dashboard/client/src/components/ActorTable.component.test.tsx +++ b/python/ray/dashboard/client/src/components/ActorTable.component.test.tsx @@ -10,7 +10,7 @@ const MOCK_ACTORS: { [actorId: string]: ActorDetail } = { actorId: "ACTOR_1", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -61,7 +61,7 @@ const MOCK_ACTORS: { [actorId: string]: ActorDetail } = { actorId: "ACTOR_2", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -120,7 +120,7 @@ describe("ActorTable", () => { ACTOR_2: { ...MOCK_ACTORS.ACTOR_2, address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e2", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e2", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6e", diff --git a/python/ray/dashboard/client/src/components/ActorTable.tsx b/python/ray/dashboard/client/src/components/ActorTable.tsx index 5c8ebebfa8ed..ec4f1d745234 100644 --- a/python/ray/dashboard/client/src/components/ActorTable.tsx +++ b/python/ray/dashboard/client/src/components/ActorTable.tsx @@ -385,10 +385,10 @@ const ActorTable = ({ data-testid="nodeIdFilter" style={{ margin: 8, width: 150 }} options={Array.from( - new Set(Object.values(actors).map((e) => e.address?.rayletId)), + new Set(Object.values(actors).map((e) => e.address?.nodeId)), )} onInputChange={(_: any, value: string) => { - changeFilter("address.rayletId", value.trim()); + changeFilter("address.nodeId", value.trim()); }} renderInput={(params: TextFieldProps) => ( @@ -684,14 +684,14 @@ const ActorTable = ({ {address?.ipAddress ? address?.ipAddress : "-"} - {address?.rayletId ? ( - + {address?.nodeId ? ( + - {address?.rayletId} + {address?.nodeId} diff --git a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx index 2e42384d1151..6fb16c1d6cdf 100644 --- a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx +++ b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx @@ -118,12 +118,12 @@ const ActorDetailPage = () => { }, { label: "Node ID", - content: actorDetail.address?.rayletId + content: actorDetail.address?.nodeId ? { - value: actorDetail.address?.rayletId, - copyableValue: actorDetail.address?.rayletId, - link: actorDetail.address.rayletId - ? generateNodeLink(actorDetail.address.rayletId) + value: actorDetail.address?.nodeId, + copyableValue: actorDetail.address?.nodeId, + link: actorDetail.address.nodeId + ? generateNodeLink(actorDetail.address.nodeId) : undefined, } : { value: "-" }, diff --git a/python/ray/dashboard/client/src/pages/actor/ActorLogs.tsx b/python/ray/dashboard/client/src/pages/actor/ActorLogs.tsx index 5191001d955f..23d9fe2ae438 100644 --- a/python/ray/dashboard/client/src/pages/actor/ActorLogs.tsx +++ b/python/ray/dashboard/client/src/pages/actor/ActorLogs.tsx @@ -13,7 +13,7 @@ export const ActorLogs = ({ actor: { actorId, pid, - address: { workerId, rayletId }, + address: { workerId, nodeId }, }, }: ActorLogsProps) => { const tabs: MultiTabLogViewerTabDetails[] = [ @@ -29,7 +29,7 @@ export const ActorLogs = ({ }, { title: "system", - nodeId: rayletId, + nodeId: nodeId, // TODO(aguo): Have API return the log file name. filename: `python-core-worker-${workerId}_${pid}.log`, }, diff --git a/python/ray/dashboard/client/src/pages/actor/hook/mockedUseActorList.ts b/python/ray/dashboard/client/src/pages/actor/hook/mockedUseActorList.ts index d4bb6061bd7d..384387228c4b 100644 --- a/python/ray/dashboard/client/src/pages/actor/hook/mockedUseActorList.ts +++ b/python/ray/dashboard/client/src/pages/actor/hook/mockedUseActorList.ts @@ -5,7 +5,7 @@ const MOCK_ACTORS: { [actorId: string]: Actor } = { actorId: "ACTOR_1", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -28,7 +28,7 @@ const MOCK_ACTORS: { [actorId: string]: Actor } = { actorId: "ACTOR_2", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -51,7 +51,7 @@ const MOCK_ACTORS: { [actorId: string]: Actor } = { actorId: "ACTOR_3", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -74,7 +74,7 @@ const MOCK_ACTORS: { [actorId: string]: Actor } = { actorId: "ACTOR_4", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", @@ -97,7 +97,7 @@ const MOCK_ACTORS: { [actorId: string]: Actor } = { actorId: "ACTOR_5", jobId: "01000000", address: { - rayletId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", + nodeId: "426854e68e4225b3941deaf03c8dcfcb1daacc69a92711d370dbb0e1", ipAddress: "172.31.11.178", port: 10003, workerId: "b8b276a03612644098ed7a929c3b0e50f5bde894eb0d8cab288fbb6d", diff --git a/python/ray/dashboard/client/src/pages/serve/ServeSystemActorDetailPage.tsx b/python/ray/dashboard/client/src/pages/serve/ServeSystemActorDetailPage.tsx index c326e2c86cd3..3e7c1ecdab5c 100644 --- a/python/ray/dashboard/client/src/pages/serve/ServeSystemActorDetailPage.tsx +++ b/python/ray/dashboard/client/src/pages/serve/ServeSystemActorDetailPage.tsx @@ -237,14 +237,14 @@ const ServeSystemActorLogs = ({ actor: { actorId, pid, - address: { workerId, rayletId }, + address: { workerId, nodeId }, }, systemLogFilePath, }: ServeSystemActorLogsProps) => { const tabs: MultiTabLogViewerTabDetails[] = [ { title: type === "controller" ? "Controller logs" : "proxy logs", - nodeId: rayletId, + nodeId: nodeId, filename: systemLogFilePath.startsWith("/") ? systemLogFilePath.substring(1) : systemLogFilePath, diff --git a/python/ray/dashboard/client/src/type/actor.ts b/python/ray/dashboard/client/src/type/actor.ts index 52c8527ab94e..b1242ed86c74 100644 --- a/python/ray/dashboard/client/src/type/actor.ts +++ b/python/ray/dashboard/client/src/type/actor.ts @@ -9,7 +9,7 @@ export enum ActorEnum { } export type Address = { - rayletId: string; + nodeId: string; ipAddress: string; port: number; workerId: string; diff --git a/python/ray/dashboard/modules/log/log_manager.py b/python/ray/dashboard/modules/log/log_manager.py index 783ee1c3a760..60f503888ffb 100644 --- a/python/ray/dashboard/modules/log/log_manager.py +++ b/python/ray/dashboard/modules/log/log_manager.py @@ -231,7 +231,7 @@ async def _resolve_actor_filename( "Actor is not scheduled yet." ) worker_id = WorkerID(worker_id_binary) - node_id_binary = actor_data.address.raylet_id + node_id_binary = actor_data.address.node_id if not node_id_binary: raise ValueError( f"Node ID for Actor ID {actor_id} not found. " diff --git a/python/ray/dashboard/modules/node/datacenter.py b/python/ray/dashboard/modules/node/datacenter.py index dcdd0c286060..6b32e4c545d5 100644 --- a/python/ray/dashboard/modules/node/datacenter.py +++ b/python/ray/dashboard/modules/node/datacenter.py @@ -198,11 +198,11 @@ async def get_actor_infos(cls, actor_ids: Optional[List[str]] = None): } @staticmethod - async def _get_actor_info(actor): + async def _get_actor_info(actor: Optional[dict]) -> Optional[dict]: if actor is None: return None - actor = dict(actor) + actor = actor.copy() worker_id = actor["address"]["workerId"] core_worker_stats = DataSource.core_worker_stats.get(worker_id, {}) actor_constructor = core_worker_stats.get( @@ -213,7 +213,7 @@ async def _get_actor_info(actor): # TODO(fyrestone): remove this, give a link from actor # info to worker info in front-end. - node_id = actor["address"]["rayletId"] + node_id = actor["address"]["nodeId"] pid = core_worker_stats.get("pid") node_physical_stats = DataSource.node_physical_stats.get(node_id, {}) actor_process_stats = None diff --git a/python/ray/dashboard/modules/node/node_head.py b/python/ray/dashboard/modules/node/node_head.py index bc696afc343f..d774ca7cac36 100644 --- a/python/ray/dashboard/modules/node/node_head.py +++ b/python/ray/dashboard/modules/node/node_head.py @@ -87,7 +87,7 @@ def _actor_table_data_to_dict(message): "parentId", "jobId", "workerId", - "rayletId", + "nodeId", "callerId", "taskId", "parentTaskId", @@ -576,7 +576,7 @@ async def _update_actors(self): # Update node actors and job actors. node_actors = defaultdict(dict) for actor_id_bytes, updated_actor_table in actor_dicts.items(): - node_id = updated_actor_table["address"]["rayletId"] + node_id = updated_actor_table["address"]["nodeId"] # Update only when node_id is not Nil. if node_id != actor_consts.NIL_NODE_ID: node_actors[node_id][actor_id_bytes] = updated_actor_table @@ -653,7 +653,7 @@ def _process_updated_actor_table( actor_table_data = actor actor_id = actor_table_data["actorId"] - node_id = actor_table_data["address"]["rayletId"] + node_id = actor_table_data["address"]["nodeId"] if actor_table_data["state"] == "DEAD": self._destroyed_actors_queue.append(actor_id) @@ -688,7 +688,7 @@ async def _cleanup_actors(self): actor_id = self._destroyed_actors_queue.popleft() if actor_id in DataSource.actors: actor = DataSource.actors.pop(actor_id) - node_id = actor["address"].get("rayletId") + node_id = actor["address"].get("nodeId") if node_id and node_id != actor_consts.NIL_NODE_ID: del DataSource.node_actors[node_id][actor_id] await asyncio.sleep(ACTOR_CLEANUP_FREQUENCY) diff --git a/python/ray/dashboard/modules/node/tests/test_actor.py b/python/ray/dashboard/modules/node/tests/test_actor.py index 3b8c4cbaf888..e4afeb0b818d 100644 --- a/python/ray/dashboard/modules/node/tests/test_actor.py +++ b/python/ray/dashboard/modules/node/tests/test_actor.py @@ -102,7 +102,7 @@ def get_placement_group_id(self): assert "Foo" in actor_response["className"] assert "address" in actor_response assert type(actor_response["address"]) is dict - assert actor_response["address"]["rayletId"] == node_id + assert actor_response["address"]["nodeId"] == node_id assert actor_response["state"] == "ALIVE" assert actor_response["name"] == "first" assert actor_response["numRestarts"] == "0" @@ -285,7 +285,7 @@ def actor_table_data_to_dict(message): "parentId", "jobId", "workerId", - "rayletId", + "nodeId", "callerId", "taskId", "parentTaskId", diff --git a/python/ray/dashboard/state_aggregator.py b/python/ray/dashboard/state_aggregator.py index 70b939ddde4f..a33dd4e7b3be 100644 --- a/python/ray/dashboard/state_aggregator.py +++ b/python/ray/dashboard/state_aggregator.py @@ -243,10 +243,10 @@ def transform(reply) -> ListApiResponse: result = [] for message in reply.worker_table_data: data = protobuf_message_to_dict( - message=message, fields_to_decode=["worker_id", "raylet_id"] + message=message, fields_to_decode=["worker_id", "node_id"] ) data["worker_id"] = data["worker_address"]["worker_id"] - data["node_id"] = data["worker_address"]["raylet_id"] + data["node_id"] = data["worker_address"]["node_id"] data["ip"] = data["worker_address"]["ip_address"] data["start_time_ms"] = int(data["start_time_ms"]) data["end_time_ms"] = int(data["end_time_ms"]) diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index 237992b0d2f0..73cfcd298ec8 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -360,7 +360,7 @@ def node_stats_to_dict( "parentTaskId", "sourceActorId", "callerId", - "rayletId", + "nodeId", "workerId", "placementGroupId", } diff --git a/python/ray/tests/test_advanced_2.py b/python/ray/tests/test_advanced_2.py index 20647e54169b..24714270a7fd 100644 --- a/python/ray/tests/test_advanced_2.py +++ b/python/ray/tests/test_advanced_2.py @@ -380,9 +380,9 @@ def h(): return ray._private.worker.global_worker.node.unique_id # The g tasks should be scheduled only on the second raylet. - raylet_ids = set(ray.get([g.remote() for _ in range(50)])) - assert len(raylet_ids) == 1 - assert list(raylet_ids)[0] == custom_resource_node.unique_id + node_ids = set(ray.get([g.remote() for _ in range(50)])) + assert len(node_ids) == 1 + assert list(node_ids)[0] == custom_resource_node.unique_id # Make sure that resource bookkeeping works when a task that uses a # custom resources gets blocked. @@ -460,9 +460,9 @@ def k(): assert len(set(ray.get([g.remote() for _ in range(500)]))) == 2 # The h tasks should be scheduled only on the second raylet. - raylet_ids = set(ray.get([h.remote() for _ in range(50)])) - assert len(raylet_ids) == 1 - assert list(raylet_ids)[0] == custom_resource_node.unique_id + node_ids = set(ray.get([h.remote() for _ in range(50)])) + assert len(node_ids) == 1 + assert list(node_ids)[0] == custom_resource_node.unique_id # Make sure that tasks with unsatisfied custom resource requirements do # not get scheduled. diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index 312c7fdcb17f..a728071528c2 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -107,7 +107,7 @@ def __init__(self, drain_node_outcome=DrainNodeOutcome.Succeeded): # Tracks how many times DrainNode returned a successful RPC response. self.drain_node_reply_success = 0 - def drain_nodes(self, raylet_ids_to_drain, timeout: int): + def drain_nodes(self, node_ids_to_drain, timeout: int): """Simulate NodeInfo stub's DrainNode call. Outcome determined by self.drain_outcome. @@ -132,28 +132,28 @@ def drain_nodes(self, raylet_ids_to_drain, timeout: int): DrainNodeOutcome.Succeeded, DrainNodeOutcome.FailedToFindIp, ]: - return raylet_ids_to_drain + return node_ids_to_drain elif self.drain_node_outcome == DrainNodeOutcome.NotAllDrained: # All but the last. - return raylet_ids_to_drain[:-1] + return node_ids_to_drain[:-1] else: # Shouldn't land here. assert False, "Possible drain node outcomes exhausted." -def mock_raylet_id() -> bytes: - """Random raylet id to pass to load_metrics.update.""" +def mock_node_id() -> bytes: + """Random node id to pass to load_metrics.update.""" return os.urandom(10) -def fill_in_raylet_ids(provider, load_metrics) -> None: - """Raylet ids for each ip are usually obtained by polling the GCS +def fill_in_node_ids(provider, load_metrics) -> None: + """Node ids for each ip are usually obtained by polling the GCS in monitor.py. For test purposes, we sometimes need to manually fill these fields with mocks. """ for node in provider.non_terminated_nodes({}): ip = provider.internal_ip(node) - load_metrics.raylet_id_by_ip[ip] = mock_raylet_id() + load_metrics.node_id_by_ip[ip] = mock_node_id() class MockAutoscaler(StandardAutoscaler): @@ -336,7 +336,7 @@ def update_nodes(self): class LoadMetricsTest(unittest.TestCase): def testHeartbeat(self): lm = LoadMetrics() - lm.update("1.1.1.1", mock_raylet_id(), {"CPU": 2}, {"CPU": 1}, 0) + lm.update("1.1.1.1", mock_node_id(), {"CPU": 2}, {"CPU": 1}, 0) lm.mark_active("2.2.2.2") assert "1.1.1.1" in lm.last_heartbeat_time_by_ip assert "2.2.2.2" in lm.last_heartbeat_time_by_ip @@ -344,13 +344,13 @@ def testHeartbeat(self): def testDebugString(self): lm = LoadMetrics() - lm.update("1.1.1.1", mock_raylet_id(), {"CPU": 2}, {"CPU": 0}, 0) + lm.update("1.1.1.1", mock_node_id(), {"CPU": 2}, {"CPU": 0}, 0) lm.update( - "2.2.2.2", mock_raylet_id(), {"CPU": 2, "GPU": 16}, {"CPU": 2, "GPU": 2}, 0 + "2.2.2.2", mock_node_id(), {"CPU": 2, "GPU": 16}, {"CPU": 2, "GPU": 2}, 0 ) lm.update( "3.3.3.3", - mock_raylet_id(), + mock_node_id(), { "memory": 1.05 * 1024 * 1024 * 1024, "object_store_memory": 2.1 * 1024 * 1024 * 1024, @@ -695,7 +695,7 @@ def testNodeTypeNameChange(self): == "ray.worker.old" ) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() self.waitForNodes(2) events = autoscaler.event_summarizer.summary() @@ -1383,7 +1383,7 @@ def testTerminateOutdatedNodesGracefully(self): ) self.waitForNodes(10, tag_filters=WORKER_FILTER) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) # Gradually scales down to meet target size, never going too low for _ in range(10): autoscaler.update() @@ -1546,7 +1546,7 @@ def _helperDynamicScaling( }, 1, ) - lm.update("172.0.0.0", mock_raylet_id(), {"CPU": 1}, {"CPU": 0}, 0) + lm.update("172.0.0.0", mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0) autoscaler = MockAutoscaler( config_path, lm, @@ -1586,7 +1586,7 @@ def _helperDynamicScaling( new_config["available_node_types"]["worker"]["max_workers"] = 1 new_config["available_node_types"]["worker"]["min_workers"] = 1 self.write_config(new_config) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() self.waitForNodes(1, tag_filters={TAG_RAY_NODE_KIND: NODE_KIND_WORKER}) @@ -1610,7 +1610,7 @@ def _helperDynamicScaling( tag_filters={TAG_RAY_NODE_KIND: NODE_KIND_WORKER}, )[0] lm.update( - worker_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 1}, DUMMY_IDLE_DURATION_S + worker_ip, mock_node_id(), {"CPU": 1}, {"CPU": 1}, DUMMY_IDLE_DURATION_S ) autoscaler.update() @@ -1682,7 +1682,7 @@ def _helperDynamicScaling( # self.waitForNodes(1) # lm.update( # head_ip, - # mock_raylet_id(), + # mock_node_id(), # {"CPU": 1}, # {"CPU": 0}, # waiting_bundles=[{"CPU": 1}] * 7, @@ -1708,7 +1708,7 @@ def _helperDynamicScaling( # # for being idle and instantly re-created due to resource demand! # lm.update( # head_ip, - # mock_raylet_id(), + # mock_node_id(), # {}, # {}, # waiting_bundles=[], @@ -1772,10 +1772,10 @@ def testUnmanagedNodes(self): autoscaler.update() self.waitForNodes(2) # This node has num_cpus=0 - lm.update(head_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 0}, 0) + lm.update(head_ip, mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0) lm.update( unmanaged_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 0}, {"CPU": 0}, DUMMY_IDLE_DURATION_S, @@ -1785,7 +1785,7 @@ def testUnmanagedNodes(self): # 1 CPU task cannot be scheduled. lm.update( unmanaged_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 0}, {"CPU": 0}, DUMMY_IDLE_DURATION_S, @@ -1838,10 +1838,10 @@ def testUnmanagedNodes2(self): update_interval_s=0, ) - lm.update(head_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 0}, 0) + lm.update(head_ip, mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0) lm.update( unmanaged_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 0}, {"CPU": 0}, DUMMY_IDLE_DURATION_S, @@ -1896,7 +1896,7 @@ def testDelayedLaunch(self): self.provider.ready_to_create.clear() lm.update( head_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0, @@ -1922,7 +1922,7 @@ def testDelayedLaunch(self): new_config = copy.deepcopy(SMALL_CLUSTER) new_config["available_node_types"]["worker"]["max_workers"] = 1 self.write_config(new_config) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() assert ( len( @@ -2076,7 +2076,7 @@ def testLaunchConfigChange(self): ] = "updated" self.write_config(new_config) self.provider.ready_to_create.clear() - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) for _ in range(5): autoscaler.update() self.waitForNodes(0, tag_filters=WORKER_FILTER) @@ -2100,7 +2100,7 @@ def testIgnoresCorruptedConfig(self): 1, ) lm = LoadMetrics() - lm.update("172.0.0.0", mock_raylet_id(), {"CPU": 1}, {"CPU": 0}, 0) + lm.update("172.0.0.0", mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0) mock_metrics = Mock(spec=AutoscalerPrometheusMetrics()) autoscaler = MockAutoscaler( config_path, @@ -2146,7 +2146,7 @@ def testIgnoresCorruptedConfig(self): # Because one worker already started, the scheduler waits for its # resources to be updated before it launches the remaining min_workers. lm.update( - worker_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 1}, DUMMY_IDLE_DURATION_S + worker_ip, mock_node_id(), {"CPU": 1}, {"CPU": 1}, DUMMY_IDLE_DURATION_S ) autoscaler.update() self.waitForNodes(10, tag_filters={TAG_RAY_NODE_KIND: NODE_KIND_WORKER}) @@ -2279,7 +2279,7 @@ def testReportsConfigFailures(self): autoscaler.update() self.waitForNodes(2, tag_filters=WORKER_FILTER) self.provider.finish_starting_nodes() - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() try: self.waitForNodes( @@ -2412,7 +2412,7 @@ def testScaleDownMaxWorkers(self): config["available_node_types"]["p2.xlarge"]["min_workers"] = 6 # 5 config["available_node_types"]["p2.xlarge"]["max_workers"] = 6 self.write_config(config) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() events = autoscaler.event_summarizer.summary() self.waitFor(lambda: autoscaler.pending_launches.value == 0) @@ -2437,7 +2437,7 @@ def testScaleDownMaxWorkers(self): def testFalseyLoadMetrics(self): lm = LoadMetrics() assert not lm - lm.update("172.0.0.0", mock_raylet_id(), {"CPU": 1}, {"CPU": 0}, 0) + lm.update("172.0.0.0", mock_node_id(), {"CPU": 1}, {"CPU": 0}, 0) assert lm def testRecoverUnhealthyWorkers(self): @@ -2571,7 +2571,7 @@ def unhealthyWorkerHelper(self, disable_liveness_check: bool): autoscaler.disable_node_updaters = True # Reduce min_workers to 1 autoscaler.config["available_node_types"]["worker"]["min_workers"] = 1 - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) if disable_liveness_check: # We've disabled the liveness check, so the unhealthy node should stick @@ -2673,7 +2673,7 @@ def testTerminateUnhealthyWorkers2(self): # Mark nodes unhealthy. for ip in ips: lm.last_heartbeat_time_by_ip[ip] = 0 - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() # Unhealthy nodes are gone. self.waitForNodes(0, tag_filters=WORKER_FILTER) @@ -3408,7 +3408,7 @@ def terminate_worker_zero(): ), "Node zero still non-terminated." assert not self.provider.is_terminated("1"), "Node one terminated prematurely." - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() # Failed updates processed are now processed. assert ( @@ -3436,7 +3436,7 @@ def terminate_worker_zero(): ), events # Should get two new nodes after the next update. - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() self.waitForNodes(2) assert set(NonTerminatedNodes(self.provider).worker_ids) == { @@ -3619,7 +3619,7 @@ def testScaleDownIdleTimeOut(self): worker_ip = self.provider.non_terminated_node_ips(WORKER_FILTER)[0] # Mark the node as idle - lm.update(worker_ip, mock_raylet_id(), {"CPU": 1}, {"CPU": 1}, 20) + lm.update(worker_ip, mock_node_id(), {"CPU": 1}, {"CPU": 1}, 20) autoscaler.update() assert self.provider.internal_ip("1") == worker_ip events = autoscaler.event_summarizer.summary() @@ -3691,7 +3691,7 @@ def testDontScaleDownIdleTimeOutForPlacementGroups(self): worker_ip = self.provider.non_terminated_node_ips(WORKER_FILTER)[0] lm.update( worker_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 1}, {"CPU": 1}, 20, # idle for 20 seconds, which is longer than the idle_timeout_minutes. diff --git a/python/ray/tests/test_autoscaling_policy.py b/python/ray/tests/test_autoscaling_policy.py index 34a7a5944e2b..32f44e217555 100644 --- a/python/ray/tests/test_autoscaling_policy.py +++ b/python/ray/tests/test_autoscaling_policy.py @@ -15,7 +15,7 @@ MockProvider, MockProcessRunner, MockGcsClient, - mock_raylet_id, + mock_node_id, MockAutoscaler, ) from ray.tests.test_resource_demand_scheduler import MULTI_WORKER_CLUSTER @@ -83,7 +83,7 @@ def __init__(self, resources, in_cluster, node_type, start_time): self.in_cluster = in_cluster self.node_type = node_type self.start_time = start_time - self.raylet_id = mock_raylet_id() + self.node_id = mock_node_id() def bundle_fits(self, bundle): if not self.in_cluster: @@ -370,7 +370,7 @@ def run_autoscaler(self): continue self.load_metrics.update( ip=ip, - raylet_id=node.raylet_id, + node_id=node.node_id, static_resources=node.total_resources, dynamic_resources=node.available_resources, node_idle_duration_s=0, diff --git a/python/ray/tests/test_resource_demand_scheduler.py b/python/ray/tests/test_resource_demand_scheduler.py index 69e4fc478ac0..99f77f2a812b 100644 --- a/python/ray/tests/test_resource_demand_scheduler.py +++ b/python/ray/tests/test_resource_demand_scheduler.py @@ -62,8 +62,8 @@ MockGcsClient, MockProcessRunner, MockProvider, - fill_in_raylet_ids, - mock_raylet_id, + fill_in_node_ids, + mock_node_id, ) from functools import partial @@ -1775,7 +1775,7 @@ def testResourceDemandVector(self): lm = LoadMetrics() lm.update( "1.1.1.1", - mock_raylet_id(), + mock_node_id(), {"CPU": 2}, {"CPU": 1}, 0, @@ -1800,7 +1800,7 @@ def testPlacementGroupLoad(self): ] lm.update( "1.1.1.1", - mock_raylet_id(), + mock_node_id(), {}, {}, DUMMY_IDLE_DURATION_S, @@ -1825,7 +1825,7 @@ def testSummary(self): ] lm.update( "1.1.1.1", - mock_raylet_id(), + mock_node_id(), { "CPU": 64, "memory": 1000 * 1024 * 1024, @@ -1840,7 +1840,7 @@ def testSummary(self): ) lm.update( "1.1.1.2", - mock_raylet_id(), + mock_node_id(), { "CPU": 64, "GPU": 8, @@ -1855,14 +1855,14 @@ def testSummary(self): ) lm.update( "1.1.1.3", - mock_raylet_id(), + mock_node_id(), {"CPU": 64, "GPU": 8, "accelerator_type:V100": 1}, {"CPU": 0, "GPU": 0, "accelerator_type:V100": 0.92}, 0, ) lm.update( "1.1.1.4", - mock_raylet_id(), + mock_node_id(), {"CPU": 2}, {"CPU": 2}, DUMMY_IDLE_DURATION_S, @@ -2077,9 +2077,9 @@ def testSummary(self): self.waitForNodes(3) for ip in self.provider.non_terminated_node_ips({}): - lm.update(ip, mock_raylet_id(), {"CPU": 2}, {"CPU": 0}, 0) + lm.update(ip, mock_node_id(), {"CPU": 2}, {"CPU": 0}, 0) - lm.update(head_ip, mock_raylet_id(), {"CPU": 16}, {"CPU": 1}, 0) + lm.update(head_ip, mock_node_id(), {"CPU": 16}, {"CPU": 1}, 0) autoscaler.update() while True: @@ -2098,7 +2098,7 @@ def testSummary(self): lm.update( head_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 16}, {"CPU": 1}, 0, @@ -2281,7 +2281,7 @@ def testPlacementGroup(self): ] lm.update( head_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 16}, {"CPU": 16}, DUMMY_IDLE_DURATION_S, @@ -2366,7 +2366,7 @@ def testScaleUpMinWorkers(self): # min workers. for node_id in self.provider.non_terminated_nodes({}): lm.ray_nodes_last_used_time_by_ip[self.provider.internal_ip(node_id)] = -60 - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() self.waitForNodes(3) @@ -2415,12 +2415,12 @@ def testScaleUpIgnoreUsed(self): ) autoscaler.update() self.waitForNodes(1) - lm.update(head_ip, mock_raylet_id(), {"CPU": 4, "GPU": 1}, {}, 0) + lm.update(head_ip, mock_node_id(), {"CPU": 4, "GPU": 1}, {}, 0) self.waitForNodes(1) lm.update( head_ip, - mock_raylet_id(), + mock_node_id(), {"CPU": 4, "GPU": 1}, {"GPU": 0}, 0, @@ -2600,7 +2600,7 @@ def testScaleUpLoadMetrics(self): autoscaler.update() lm.update( "1.2.3.4", - mock_raylet_id(), + mock_node_id(), {}, {}, DUMMY_IDLE_DURATION_S, @@ -2641,7 +2641,7 @@ def testCommandPassing(self): 1, ) lm = LoadMetrics() - lm.update("172.0.0.0", mock_raylet_id(), {"CPU": 0}, {"CPU": 0}, 0) + lm.update("172.0.0.0", mock_node_id(), {"CPU": 0}, {"CPU": 0}, 0) autoscaler = MockAutoscaler( config_path, lm, @@ -2821,7 +2821,7 @@ def testUpdateConfig(self): config["available_node_types"]["m4.large"]["min_workers"] = 0 config["available_node_types"]["m4.large"]["node_config"]["field_changed"] = 1 config_path = self.write_config(config) - fill_in_raylet_ids(self.provider, lm) + fill_in_node_ids(self.provider, lm) autoscaler.update() self.waitForNodes(0, tag_filters={TAG_RAY_NODE_KIND: NODE_KIND_WORKER}) @@ -2915,7 +2915,7 @@ def testRequestResourcesIdleTimeout(self): autoscaler.provider.mock_nodes[node_id].state = "unterminatable" lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, @@ -2930,7 +2930,7 @@ def testRequestResourcesIdleTimeout(self): autoscaler.load_metrics.set_resource_requests([{"CPU": 0.2, "WORKER": 1.0}]) lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], {}, 0, @@ -2940,7 +2940,7 @@ def testRequestResourcesIdleTimeout(self): self.waitForNodes(2, tag_filters={TAG_RAY_NODE_KIND: NODE_KIND_WORKER}) lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, @@ -2954,7 +2954,7 @@ def testRequestResourcesIdleTimeout(self): assert autoscaler.provider.mock_nodes[node_id].state == "unterminatable" lm.update( "172.0.0.2", - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, @@ -3023,7 +3023,7 @@ def testRequestResourcesRaceConditionsLong(self): autoscaler.provider.mock_nodes[node_id].state = "unterminatable" lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, @@ -3041,7 +3041,7 @@ def testRequestResourcesRaceConditionsLong(self): autoscaler.load_metrics.set_resource_requests([{"CPU": 0.2, "WORKER": 1.0}] * 3) lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], {}, 0, @@ -3053,21 +3053,21 @@ def testRequestResourcesRaceConditionsLong(self): lm.update( "172.0.0.2", - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, ) lm.update( "172.0.0.3", - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], config["available_node_types"]["def_worker"]["resources"], DUMMY_IDLE_DURATION_S, ) lm.update( node_ip, - mock_raylet_id(), + mock_node_id(), config["available_node_types"]["def_worker"]["resources"], {}, 0, @@ -3174,7 +3174,7 @@ def testRequestResourcesRaceConditionWithResourceDemands(self): ) lm.update( "127.0.0.0", - mock_raylet_id(), + mock_node_id(), {"CPU": 2, "GPU": 1}, {"CPU": 2}, 0, @@ -3186,7 +3186,7 @@ def testRequestResourcesRaceConditionWithResourceDemands(self): self.waitForNodes(2) lm.update( "127.0.0.0", - mock_raylet_id(), + mock_node_id(), {"CPU": 2, "GPU": 1}, {"CPU": 2}, 0, diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 9d9396ac0552..8c451f72b587 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -171,7 +171,7 @@ def generate_actor_data(id, state=ActorTableData.ActorState.ALIVE, class_name="c name="abc", pid=1234, class_name=class_name, - address=Address(raylet_id=id, ip_address="127.0.0.1", port=124, worker_id=id), + address=Address(node_id=id, ip_address="127.0.0.1", port=124, worker_id=id), job_id=b"123", node_id=None, ray_namespace="", @@ -208,7 +208,7 @@ def generate_worker_data( ): return WorkerTableData( worker_address=Address( - raylet_id=id, ip_address="127.0.0.1", port=124, worker_id=id + node_id=id, ip_address="127.0.0.1", port=124, worker_id=id ), is_alive=True, timestamp=1234, diff --git a/python/ray/tests/test_state_api_log.py b/python/ray/tests/test_state_api_log.py index 3a874fe7dd76..61554b3b90a3 100644 --- a/python/ray/tests/test_state_api_log.py +++ b/python/ray/tests/test_state_api_log.py @@ -90,7 +90,7 @@ async def generate_actor_data(id, node_id, worker_id): pid=1234, class_name="class", address=Address( - raylet_id=node_id.binary(), + node_id=node_id.binary(), ip_address="127.0.0.1", port=1234, worker_id=worker_id, diff --git a/src/fakes/ray/ipc/raylet_ipc_client.h b/src/fakes/ray/ipc/raylet_ipc_client.h index 29fb02135bff..dc7b0ca92bc0 100644 --- a/src/fakes/ray/ipc/raylet_ipc_client.h +++ b/src/fakes/ray/ipc/raylet_ipc_client.h @@ -29,7 +29,7 @@ class FakeRayletIpcClient : public RayletIpcClientInterface { const std::string &ip_address, const std::string &serialized_job_config, const StartupToken &startup_token, - NodeID *raylet_id, + NodeID *node_id, int *assigned_port) override { return Status::OK(); } diff --git a/src/mock/ray/core_worker/reference_count.h b/src/mock/ray/core_worker/reference_count.h index 9efc65afc25d..bf02c1bc987a 100644 --- a/src/mock/ray/core_worker/reference_count.h +++ b/src/mock/ray/core_worker/reference_count.h @@ -39,7 +39,7 @@ class MockReferenceCounter : public ReferenceCounterInterface { const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id, + const std::optional &pinned_at_node_id, rpc::TensorTransport tensor_transport)); MOCK_METHOD2(AddObjectOutOfScopeOrFreedCallback, diff --git a/src/ray/common/bundle_spec.h b/src/ray/common/bundle_spec.h index 5f77cbb7650d..63c9eea454b9 100644 --- a/src/ray/common/bundle_spec.h +++ b/src/ray/common/bundle_spec.h @@ -28,7 +28,7 @@ namespace ray { -/// Arguments are the raylet ID to spill back to, the raylet's +/// Arguments are the node ID to spill back to, the raylet's /// address and the raylet's port. typedef std::function SpillbackBundleCallback; diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index 76cf5ae8574b..d231470f174a 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -495,7 +495,7 @@ std::string TaskSpecification::CallerWorkerIdBinary() const { } NodeID TaskSpecification::CallerNodeId() const { - return NodeID::FromBinary(message_->caller_address().raylet_id()); + return NodeID::FromBinary(message_->caller_address().node_id()); } // === Below are getter methods specific to actor tasks. diff --git a/src/ray/common/test/task_spec_test.cc b/src/ray/common/test/task_spec_test.cc index 67ed76daaf4b..a3b0cb5e05d1 100644 --- a/src/ray/common/test/task_spec_test.cc +++ b/src/ray/common/test/task_spec_test.cc @@ -238,7 +238,7 @@ TEST(TaskSpecTest, TestCallerAddress) { rpc::Address caller_address; NodeID caller_node_id = NodeID::FromRandom(); WorkerID caller_worker_id = WorkerID::FromRandom(); - caller_address.set_raylet_id(caller_node_id.Binary()); + caller_address.set_node_id(caller_node_id.Binary()); caller_address.set_worker_id(caller_worker_id.Binary()); TaskSpecBuilder task_spec_builder; task_spec_builder.SetCommonTaskSpec( diff --git a/src/ray/core_worker/actor_manager.cc b/src/ray/core_worker/actor_manager.cc index 4e6586dc10d1..418539515a25 100644 --- a/src/ray/core_worker/actor_manager.cc +++ b/src/ray/core_worker/actor_manager.cc @@ -214,8 +214,8 @@ void ActorManager::HandleActorStateNotification(const ActorID &actor_id, const rpc::ActorTableData &actor_data) { const auto &actor_state = rpc::ActorTableData::ActorState_Name(actor_data.state()); const auto worker_id = WorkerID::FromBinary(actor_data.address().worker_id()); - const auto raylet_id = NodeID::FromBinary(actor_data.address().raylet_id()); - RAY_LOG(INFO).WithField(actor_id).WithField(worker_id).WithField(raylet_id) + const auto node_id = NodeID::FromBinary(actor_data.address().node_id()); + RAY_LOG(INFO).WithField(actor_id).WithField(worker_id).WithField(node_id) << "received notification on actor, state: " << actor_state << ", ip address: " << actor_data.address().ip_address() << ", port: " << actor_data.address().port() diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index d9b8fcbd292d..22f3f7fd3513 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -790,7 +790,7 @@ void CoreWorker::RegisterToGcs(int64_t worker_launch_time_ms, } auto worker_data = std::make_shared(); - worker_data->mutable_worker_address()->set_raylet_id(rpc_address_.raylet_id()); + worker_data->mutable_worker_address()->set_node_id(rpc_address_.node_id()); worker_data->mutable_worker_address()->set_ip_address(rpc_address_.ip_address()); worker_data->mutable_worker_address()->set_port(rpc_address_.port()); worker_data->mutable_worker_address()->set_worker_id(worker_id.Binary()); @@ -1042,7 +1042,7 @@ Status CoreWorker::Put(const RayObject &object, object.GetSize(), /*is_reconstructable=*/false, /*add_local_ref=*/true, - NodeID::FromBinary(rpc_address_.raylet_id())); + NodeID::FromBinary(rpc_address_.node_id())); auto status = Put(object, contained_object_ids, *object_id, /*pin_object=*/true); if (!status.ok()) { RemoveLocalReference(*object_id); @@ -1126,7 +1126,7 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( data_size + metadata->Size(), /*is_reconstructable=*/false, /*add_local_ref=*/true, - NodeID::FromBinary(rpc_address_.raylet_id())); + NodeID::FromBinary(rpc_address_.node_id())); } else { // Because in the remote worker's `HandleAssignObjectOwner`, // a `WaitForRefRemoved` RPC request will be sent back to @@ -4348,7 +4348,7 @@ void CoreWorker::HandleAssignObjectOwner(rpc::AssignObjectOwnerRequest request, request.object_size(), /*is_reconstructable=*/false, /*add_local_ref=*/false, - /*pinned_at_raylet_id=*/NodeID::FromBinary(borrower_address.raylet_id())); + /*pinned_at_node_id=*/NodeID::FromBinary(borrower_address.node_id())); reference_counter_->AddBorrowerAddress(object_id, borrower_address); memory_store_->Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); send_reply_callback(Status::OK(), nullptr, nullptr); diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index d2dc9610cac7..839b8a96f177 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -288,7 +288,7 @@ class CoreWorker { int64_t GetTaskDepth() const { return worker_context_->GetTaskDepth(); } - NodeID GetCurrentNodeId() const { return NodeID::FromBinary(rpc_address_.raylet_id()); } + NodeID GetCurrentNodeId() const { return NodeID::FromBinary(rpc_address_.node_id()); } /// Read the next index of a ObjectRefStream of generator_id. /// This API always return immediately. diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 348140770fab..6ea8b140350e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -215,7 +215,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto raylet_ipc_client = std::make_shared( io_service_, options.raylet_socket, /*num_retries=*/-1, /*timeout=*/-1); - NodeID local_raylet_id; + NodeID local_node_id; int assigned_port = 0; Status status = raylet_ipc_client->RegisterClient(worker_context->GetWorkerID(), options.worker_type, @@ -225,7 +225,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( options.node_ip_address, options.serialized_job_config, options.startup_token, - &local_raylet_id, + &local_node_id, &assigned_port); if (!status.ok()) { // Avoid using FATAL log or RAY_CHECK here because they may create a core dump file. @@ -243,7 +243,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // so that the worker (java/python .etc) can retrieve and handle the error // instead of crashing. auto raylet_address = rpc::RayletClientPool::GenerateRayletAddress( - local_raylet_id, options.node_ip_address, options.node_manager_port); + local_node_id, options.node_ip_address, options.node_manager_port); auto local_raylet_rpc_client = std::make_shared( std::move(raylet_address), *client_call_manager, @@ -260,13 +260,13 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( core_worker_server->Run(); // Set our own address. - RAY_CHECK(!local_raylet_id.IsNil()); + RAY_CHECK(!local_node_id.IsNil()); rpc::Address rpc_address; rpc_address.set_ip_address(options.node_ip_address); rpc_address.set_port(core_worker_server->GetPort()); - rpc_address.set_raylet_id(local_raylet_id.Binary()); + rpc_address.set_node_id(local_node_id.Binary()); rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); - RAY_LOG(INFO).WithField(worker_context->GetWorkerID()).WithField(local_raylet_id) + RAY_LOG(INFO).WithField(worker_context->GetWorkerID()).WithField(local_node_id) << "Initializing worker at address: " << BuildAddress(rpc_address.ip_address(), rpc_address.port()); @@ -488,7 +488,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::optional address_opt; if (auto node_info = core_worker->gcs_client_->Nodes().Get(node_id)) { auto &address = address_opt.emplace(); - address.set_raylet_id(node_info->node_id()); + address.set_node_id(node_info->node_id()); address.set_ip_address(node_info->node_manager_address()); address.set_port(node_info->node_manager_port()); } @@ -510,7 +510,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::move(lease_policy), memory_store, *task_manager, - local_raylet_id, + local_node_id, options.worker_type, RayConfig::instance().worker_lease_timeout_milliseconds(), actor_creator, @@ -571,7 +571,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( continue; } rpc::Address addr; - addr.set_raylet_id(node_info->node_id()); + addr.set_node_id(node_info->node_id()); addr.set_ip_address(node_info->node_manager_address()); addr.set_port(node_info->node_manager_port()); locations.push_back(std::move(addr)); @@ -587,7 +587,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( for (const auto &node_info : node_infos) { if (node_info.state() != rpc::GcsNodeInfo::DEAD) { rpc::Address addr; - addr.set_raylet_id(node_info.node_id()); + addr.set_node_id(node_info.node_id()); addr.set_ip_address(node_info.node_manager_address()); addr.set_port(node_info.node_manager_port()); locations.push_back(std::move(addr)); diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 8aa30697d53e..238dd3634268 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -110,7 +110,7 @@ void ObjectRecoveryManager::PinExistingObjectCopy( std::vector other_locations) { // If a copy still exists, pin the object by sending a // PinObjectIDs RPC. - const auto node_id = NodeID::FromBinary(raylet_address.raylet_id()); + const auto node_id = NodeID::FromBinary(raylet_address.node_id()); RAY_LOG(DEBUG).WithField(object_id).WithField(node_id) << "Trying to pin copy of lost object at node"; diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 0e8e842ffc8d..6f15095e3e24 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -195,7 +195,7 @@ void ReferenceCounter::AddOwnedObject(const ObjectID &object_id, const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id, + const std::optional &pinned_at_node_id, rpc::TensorTransport tensor_transport) { absl::MutexLock lock(&mutex_); RAY_CHECK(AddOwnedObjectInternal(object_id, @@ -205,7 +205,7 @@ void ReferenceCounter::AddOwnedObject(const ObjectID &object_id, object_size, is_reconstructable, add_local_ref, - pinned_at_raylet_id, + pinned_at_node_id, tensor_transport)) << "Tried to create an owned object that already exists: " << object_id; } @@ -319,7 +319,7 @@ bool ReferenceCounter::AddOwnedObjectInternal( const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id, + const std::optional &pinned_at_node_id, rpc::TensorTransport tensor_transport) { if (object_id_refs_.contains(object_id)) { return false; @@ -341,7 +341,7 @@ bool ReferenceCounter::AddOwnedObjectInternal( call_site, object_size, is_reconstructable, - pinned_at_raylet_id, + pinned_at_node_id, tensor_transport)) .first; if (!inner_ids.empty()) { @@ -349,9 +349,9 @@ bool ReferenceCounter::AddOwnedObjectInternal( // the inner objects until the outer object ID goes out of scope. AddNestedObjectIdsInternal(object_id, inner_ids, rpc_address_); } - if (pinned_at_raylet_id.has_value()) { + if (pinned_at_node_id.has_value()) { // We eagerly add the pinned location to the set of object locations. - AddObjectLocationInternal(it, pinned_at_raylet_id.value()); + AddObjectLocationInternal(it, pinned_at_node_id.value()); } reconstructable_owned_objects_.emplace_back(object_id); @@ -787,7 +787,7 @@ void ReferenceCounter::OnObjectOutOfScopeOrFreed(ReferenceTable::iterator it) { } void ReferenceCounter::UnsetObjectPrimaryCopy(ReferenceTable::iterator it) { - it->second.pinned_at_raylet_id.reset(); + it->second.pinned_at_node_id.reset(); if (it->second.spilled && !it->second.spilled_node_id.IsNil()) { it->second.spilled = false; it->second.spilled_url = ""; @@ -827,18 +827,18 @@ bool ReferenceCounter::AddObjectOutOfScopeOrFreedCallback( return true; } -void ReferenceCounter::ResetObjectsOnRemovedNode(const NodeID &raylet_id) { +void ReferenceCounter::ResetObjectsOnRemovedNode(const NodeID &node_id) { absl::MutexLock lock(&mutex_); for (auto it = object_id_refs_.begin(); it != object_id_refs_.end(); it++) { const auto &object_id = it->first; - if (it->second.pinned_at_raylet_id.value_or(NodeID::Nil()) == raylet_id || - it->second.spilled_node_id == raylet_id) { + if (it->second.pinned_at_node_id.value_or(NodeID::Nil()) == node_id || + it->second.spilled_node_id == node_id) { UnsetObjectPrimaryCopy(it); if (!it->second.OutOfScope(lineage_pinning_enabled_)) { objects_to_recover_.push_back(object_id); } } - RemoveObjectLocationInternal(it, raylet_id); + RemoveObjectLocationInternal(it, node_id); } } @@ -850,7 +850,7 @@ std::vector ReferenceCounter::FlushObjectsToRecover() { } void ReferenceCounter::UpdateObjectPinnedAtRaylet(const ObjectID &object_id, - const NodeID &raylet_id) { + const NodeID &node_id) { absl::MutexLock lock(&mutex_); auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { @@ -861,17 +861,17 @@ void ReferenceCounter::UpdateObjectPinnedAtRaylet(const ObjectID &object_id, // The object is still in scope. Track the raylet location until the object // has gone out of scope or the raylet fails, whichever happens first. - if (it->second.pinned_at_raylet_id.has_value()) { + if (it->second.pinned_at_node_id.has_value()) { RAY_LOG(INFO).WithField(object_id) - << "Updating primary location for object to node " << raylet_id - << ", but it already has a primary location " << *it->second.pinned_at_raylet_id + << "Updating primary location for object to node " << node_id + << ", but it already has a primary location " << *it->second.pinned_at_node_id << ". This should only happen during reconstruction"; } // Only the owner tracks the location. RAY_CHECK(it->second.owned_by_us); if (!it->second.OutOfScope(lineage_pinning_enabled_)) { - if (!is_node_dead_(raylet_id)) { - it->second.pinned_at_raylet_id = raylet_id; + if (!is_node_dead_(node_id)) { + it->second.pinned_at_node_id = node_id; } else { UnsetObjectPrimaryCopy(it); objects_to_recover_.push_back(object_id); @@ -890,7 +890,7 @@ bool ReferenceCounter::IsPlasmaObjectPinnedOrSpilled(const ObjectID &object_id, if (it->second.owned_by_us) { *owned_by_us = true; *spilled = it->second.spilled; - *pinned_at = it->second.pinned_at_raylet_id.value_or(NodeID::Nil()); + *pinned_at = it->second.pinned_at_node_id.value_or(NodeID::Nil()); } return true; } @@ -1479,8 +1479,8 @@ std::optional ReferenceCounter::GetLocalityData( auto node_ids = it->second.locations; // Add location of the primary copy since the object must be there: either in memory or // spilled. - if (it->second.pinned_at_raylet_id.has_value()) { - node_ids.emplace(it->second.pinned_at_raylet_id.value()); + if (it->second.pinned_at_node_id.has_value()) { + node_ids.emplace(it->second.pinned_at_node_id.value()); } // We should only reach here if we have valid locality data to return. @@ -1566,7 +1566,7 @@ void ReferenceCounter::PushToLocationSubscribers(ReferenceTable::iterator it) { auto object_size = it->second.object_size; const auto &spilled_url = it->second.spilled_url; const auto &spilled_node_id = it->second.spilled_node_id; - const auto &optional_primary_node_id = it->second.pinned_at_raylet_id; + const auto &optional_primary_node_id = it->second.pinned_at_node_id; const auto &primary_node_id = optional_primary_node_id.value_or(NodeID::Nil()); RAY_LOG(DEBUG).WithField(object_id) << "Published message for object, " << locations.size() @@ -1610,7 +1610,7 @@ void ReferenceCounter::FillObjectInformationInternal( } object_info->set_spilled_url(it->second.spilled_url); object_info->set_spilled_node_id(it->second.spilled_node_id.Binary()); - auto primary_node_id = it->second.pinned_at_raylet_id.value_or(NodeID::Nil()); + auto primary_node_id = it->second.pinned_at_node_id.value_or(NodeID::Nil()); object_info->set_primary_node_id(primary_node_id.Binary()); object_info->set_pending_creation(it->second.pending_creation); object_info->set_did_spill(it->second.did_spill); diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index 1ede49834e94..c58cbe5af91a 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -56,7 +56,7 @@ class ReferenceCounterInterface { const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id = std::optional(), + const std::optional &pinned_at_node_id = std::optional(), rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE) = 0; virtual bool AddObjectOutOfScopeOrFreedCallback( const ObjectID &object_id, @@ -188,7 +188,7 @@ class ReferenceCounter : public ReferenceCounterInterface, /// \param[in] add_local_ref Whether to initialize the local ref count to 1. /// This is used to ensure that the ref is considered in scope before the /// corresponding ObjectRef has been returned to the language frontend. - /// \param[in] pinned_at_raylet_id The primary location for the object, if it + /// \param[in] pinned_at_node_id The primary location for the object, if it /// is already known. This is only used for ray.put calls. /// \param[in] tensor_transport The transport used for the object. void AddOwnedObject( @@ -199,7 +199,7 @@ class ReferenceCounter : public ReferenceCounterInterface, const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id = std::optional(), + const std::optional &pinned_at_node_id = std::optional(), rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE) override ABSL_LOCKS_EXCLUDED(mutex_); @@ -444,8 +444,8 @@ class ReferenceCounter : public ReferenceCounterInterface, /// Update the pinned location of an object stored in plasma. /// /// \param[in] object_id The object to update. - /// \param[in] raylet_id The raylet that is now pinning the object ID. - void UpdateObjectPinnedAtRaylet(const ObjectID &object_id, const NodeID &raylet_id) + /// \param[in] node_id The raylet that is now pinning the object ID. + void UpdateObjectPinnedAtRaylet(const ObjectID &object_id, const NodeID &node_id) ABSL_LOCKS_EXCLUDED(mutex_); /// Check whether the object is pinned at a remote plasma store node or @@ -473,7 +473,7 @@ class ReferenceCounter : public ReferenceCounterInterface, /// /// \param[in] node_id The node whose object store has been removed. /// \return The set of objects that were pinned on the given node. - void ResetObjectsOnRemovedNode(const NodeID &raylet_id); + void ResetObjectsOnRemovedNode(const NodeID &node_id); std::vector FlushObjectsToRecover(); @@ -652,16 +652,16 @@ class ReferenceCounter : public ReferenceCounterInterface, std::string call_site, int64_t object_size, bool is_reconstructable, - std::optional pinned_at_raylet_id, + std::optional pinned_at_node_id, rpc::TensorTransport tensor_transport) : call_site(std::move(call_site)), object_size(object_size), owner_address(std::move(owner_address)), - pinned_at_raylet_id(std::move(pinned_at_raylet_id)), + pinned_at_node_id(std::move(pinned_at_node_id)), tensor_transport(tensor_transport), owned_by_us(true), is_reconstructable(is_reconstructable), - pending_creation(!pinned_at_raylet_id.has_value()) {} + pending_creation(!pinned_at_node_id.has_value()) {} /// Constructor from a protobuf. This is assumed to be a message from /// another process, so the object defaults to not being owned by us. @@ -770,7 +770,7 @@ class ReferenceCounter : public ReferenceCounterInterface, /// If this object is owned by us and stored in plasma, and reference /// counting is enabled, then some raylet must be pinning the object value. /// This is the address of that raylet. - std::optional pinned_at_raylet_id; + std::optional pinned_at_node_id; /// TODO(kevin85421): Make tensor_transport a required field for all constructors. /// /// The transport used for the object. @@ -860,7 +860,7 @@ class ReferenceCounter : public ReferenceCounterInterface, const int64_t object_size, bool is_reconstructable, bool add_local_ref, - const std::optional &pinned_at_raylet_id, + const std::optional &pinned_at_node_id, rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index b41e0616ba29..0992f15ff2f9 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -267,7 +267,7 @@ std::vector TaskManager::AddPendingTask( -1, is_reconstructable, /*add_local_ref=*/true, - /*pinned_at_raylet_id=*/std::optional(), + /*pinned_at_node_id=*/std::optional(), /*tensor_transport=*/spec.TensorTransport()); } @@ -535,7 +535,7 @@ size_t TaskManager::NumPendingTasks() const { bool TaskManager::HandleTaskReturn(const ObjectID &object_id, const rpc::ReturnObject &return_object, - const NodeID &worker_raylet_id, + const NodeID &worker_node_id, bool store_in_plasma) { bool direct_return = false; reference_counter_.UpdateObjectSize(object_id, return_object.size()); @@ -548,7 +548,7 @@ bool TaskManager::HandleTaskReturn(const ObjectID &object_id, // NOTE(swang): We need to add the location of the object before marking // it as local in the in-memory store so that the data locality policy // will choose the right raylet for any queued dependent tasks. - reference_counter_.UpdateObjectPinnedAtRaylet(object_id, worker_raylet_id); + reference_counter_.UpdateObjectPinnedAtRaylet(object_id, worker_node_id); // Mark it as in plasma with a dummy object. in_memory_store_.Put(RayObject(rpc::ErrorType::OBJECT_IN_PLASMA), object_id); } else { @@ -815,7 +815,7 @@ bool TaskManager::HandleReportGeneratorItemReturns( reference_counter_.UpdateObjectPendingCreation(object_id, false); HandleTaskReturn(object_id, return_object, - NodeID::FromBinary(request.worker_addr().raylet_id()), + NodeID::FromBinary(request.worker_addr().node_id()), /*store_in_plasma=*/store_in_plasma_ids.contains(object_id)); } @@ -902,7 +902,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, } if (!HandleTaskReturn(object_id, return_object, - NodeID::FromBinary(worker_addr.raylet_id()), + NodeID::FromBinary(worker_addr.node_id()), store_in_plasma_ids.contains(object_id))) { if (first_execution) { dynamic_returns_in_plasma.push_back(object_id); @@ -915,7 +915,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, const auto object_id = ObjectID::FromBinary(return_object.object_id()); if (HandleTaskReturn(object_id, return_object, - NodeID::FromBinary(worker_addr.raylet_id()), + NodeID::FromBinary(worker_addr.node_id()), store_in_plasma_ids.contains(object_id))) { direct_return_ids.push_back(object_id); } @@ -1042,7 +1042,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, const auto &return_object = reply.return_objects(0); HandleTaskReturn(generator_return_id, return_object, - NodeID::FromBinary(worker_addr.raylet_id()), + NodeID::FromBinary(worker_addr.node_id()), store_in_plasma_ids.contains(generator_return_id)); } } diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 1d841f21f284..25f5c90717c9 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -612,7 +612,7 @@ class TaskManager : public TaskManagerInterface { /// directly by value. bool HandleTaskReturn(const ObjectID &object_id, const rpc::ReturnObject &return_object, - const NodeID &worker_raylet_id, + const NodeID &worker_node_id, bool store_in_plasma) ABSL_LOCKS_EXCLUDED(mu_); /// Remove a lineage reference to this object ID. This should be called diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 8ff56cd4f150..506f07feb3b3 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -621,7 +621,7 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, }; task_manager_.MarkTaskWaitingForExecution(task_id, - NodeID::FromBinary(addr.raylet_id()), + NodeID::FromBinary(addr.node_id()), WorkerID::FromBinary(addr.worker_id())); queue.rpc_client->PushActorTask( std::move(request), skip_queue, std::move(wrapped_callback)); diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 47dcd21fe3a7..6ee82372d73c 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -112,7 +112,7 @@ void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, bool worker_exiting, const SchedulingKey &scheduling_key) { RAY_LOG(DEBUG) << "Returning worker " << WorkerID::FromBinary(addr.worker_id()) - << " to raylet " << NodeID::FromBinary(addr.raylet_id()); + << " to raylet " << NodeID::FromBinary(addr.node_id()); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); auto &lease_entry = worker_to_lease_entry_[addr]; @@ -232,14 +232,14 @@ std::shared_ptr NormalTaskSubmitter::GetOrConnectRayletCl const rpc::Address *raylet_address) { std::shared_ptr raylet_client; RAY_CHECK(raylet_address != nullptr); - if (NodeID::FromBinary(raylet_address->raylet_id()) != local_raylet_id_) { + if (NodeID::FromBinary(raylet_address->node_id()) != local_node_id_) { // A remote raylet was specified. Connect to the raylet if needed. - NodeID raylet_id = NodeID::FromBinary(raylet_address->raylet_id()); - auto it = remote_raylet_clients_.find(raylet_id); + NodeID node_id = NodeID::FromBinary(raylet_address->node_id()); + auto it = remote_raylet_clients_.find(node_id); if (it == remote_raylet_clients_.end()) { - RAY_LOG(INFO) << "Connecting to raylet " << raylet_id; + RAY_LOG(INFO) << "Connecting to raylet " << node_id; it = remote_raylet_clients_ - .emplace(raylet_id, + .emplace(node_id, raylet_client_pool_->GetOrConnectByAddress(*raylet_address)) .first; } @@ -345,7 +345,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli const TaskID task_id = resource_spec.TaskId(); const std::string task_name = resource_spec.GetName(); RAY_LOG(DEBUG) << "Requesting lease from raylet " - << NodeID::FromBinary(raylet_address->raylet_id()) << " for task " + << NodeID::FromBinary(raylet_address->node_id()) << " for task " << task_id; raylet_client->RequestWorkerLease( @@ -426,11 +426,11 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli // refreshed. RAY_CHECK(is_spillback); RequestNewWorkerIfNeeded(scheduling_key); - } else if (!reply.worker_address().raylet_id().empty()) { + } else if (!reply.worker_address().node_id().empty()) { // We got a lease for a worker. Add the lease client state and try to // assign work to the worker. RAY_LOG(DEBUG) << "Lease granted to task " << task_id << " from raylet " - << NodeID::FromBinary(reply.worker_address().raylet_id()) + << NodeID::FromBinary(reply.worker_address().node_id()) << " with worker " << WorkerID::FromBinary(reply.worker_address().worker_id()); @@ -450,10 +450,10 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli // The raylet redirected us to a different raylet to retry at. RAY_CHECK(!is_spillback); RAY_LOG(DEBUG) << "Redirect lease for task " << task_id << " from raylet " - << NodeID::FromBinary(raylet_address.raylet_id()) + << NodeID::FromBinary(raylet_address.node_id()) << " to raylet " << NodeID::FromBinary( - reply.retry_at_raylet_address().raylet_id()); + reply.retry_at_raylet_address().node_id()); RequestNewWorkerIfNeeded(scheduling_key, &reply.retry_at_raylet_address()); } @@ -464,7 +464,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli RAY_LOG_EVERY_MS(INFO, 30 * 1000) << "Retrying attempt to schedule task (id: " << task_id << " name: " << task_name - << ") at remote node (id: " << raylet_address.raylet_id() + << ") at remote node (id: " << raylet_address.node_id() << " ip: " << raylet_address.ip_address() << "). Try again " "on a local node. Error: " @@ -490,7 +490,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli // Grpc errors are not helpful at all. So we are overwriting it. std::stringstream ss; ss << "The worker failed to receive a response from the local raylet" - << "(id: " << NodeID::FromBinary(raylet_address.raylet_id()).Hex() + << "(id: " << NodeID::FromBinary(raylet_address.node_id()).Hex() << " ,ip: " << raylet_address.ip_address() << ") " << "because the raylet is " "unavailable (crashed)."; @@ -542,7 +542,7 @@ void NormalTaskSubmitter::PushNormalTask( const google::protobuf::RepeatedPtrField &assigned_resources) { RAY_LOG(DEBUG) << "Pushing task " << task_spec.TaskId() << " to worker " << WorkerID::FromBinary(addr.worker_id()) << " of raylet " - << NodeID::FromBinary(addr.raylet_id()); + << NodeID::FromBinary(addr.node_id()); auto task_id = task_spec.TaskId(); auto request = std::make_unique(); // NOTE(swang): CopyFrom is needed because if we use Swap here and the task @@ -552,7 +552,7 @@ void NormalTaskSubmitter::PushNormalTask( request->mutable_resource_mapping()->CopyFrom(assigned_resources); request->set_intended_worker_id(addr.worker_id()); task_manager_.MarkTaskWaitingForExecution(task_id, - NodeID::FromBinary(addr.raylet_id()), + NodeID::FromBinary(addr.node_id()), WorkerID::FromBinary(addr.worker_id())); client->PushNormalTask( std::move(request), @@ -566,7 +566,7 @@ void NormalTaskSubmitter::PushNormalTask( { RAY_LOG(DEBUG) << "Task " << task_id << " finished from worker " << WorkerID::FromBinary(addr.worker_id()) << " of raylet " - << NodeID::FromBinary(addr.raylet_id()); + << NodeID::FromBinary(addr.node_id()); absl::MutexLock lock(&mu_); executing_tasks_.erase(task_id); @@ -666,18 +666,18 @@ bool NormalTaskSubmitter::HandleGetTaskFailureCause( } else { RAY_LOG(WARNING) << "Failed to fetch task result with status " << get_task_failure_cause_reply_status.ToString() - << " node id: " << NodeID::FromBinary(addr.raylet_id()) + << " node id: " << NodeID::FromBinary(addr.node_id()) << " ip: " << addr.ip_address(); task_error_type = rpc::ErrorType::NODE_DIED; std::stringstream buffer; buffer << "Task failed due to the node (where this task was running) " << " was dead or unavailable.\n\nThe node IP: " << addr.ip_address() - << ", node ID: " << NodeID::FromBinary(addr.raylet_id()) << "\n\n" + << ", node ID: " << NodeID::FromBinary(addr.node_id()) << "\n\n" << "This can happen if the instance where the node was running failed, " << "the node was preempted, or raylet crashed unexpectedly " << "(e.g., due to OOM) etc.\n\n" << "To see node death information, use `ray list nodes --filter \"node_id=" - << NodeID::FromBinary(addr.raylet_id()) << "\"`, " + << NodeID::FromBinary(addr.node_id()) << "\"`, " << "or check Ray dashboard cluster page, or search the node ID in GCS log, " << "or use `ray logs raylet.out -ip " << addr.ip_address() << "`"; error_info = std::make_unique(); diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index b882f9b93d88..f72628319465 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -91,7 +91,7 @@ class NormalTaskSubmitter { std::unique_ptr lease_policy, std::shared_ptr store, TaskManagerInterface &task_manager, - NodeID local_raylet_id, + NodeID local_node_id, WorkerType worker_type, int64_t lease_timeout_ms, std::shared_ptr actor_creator, @@ -106,7 +106,7 @@ class NormalTaskSubmitter { resolver_(*store, task_manager, *actor_creator, tensor_transport_getter), task_manager_(task_manager), lease_timeout_ms_(lease_timeout_ms), - local_raylet_id_(local_raylet_id), + local_node_id_(local_node_id), worker_type_(worker_type), core_worker_client_pool_(std::move(core_worker_client_pool)), job_id_(job_id), @@ -270,9 +270,9 @@ class NormalTaskSubmitter { /// to the raylet. int64_t lease_timeout_ms_; - /// The local raylet ID. Used to make sure that we use the local lease client + /// The local node ID. Used to make sure that we use the local lease client /// if a remote raylet tells us to spill the task back to the local raylet. - const NodeID local_raylet_id_; + const NodeID local_node_id_; /// The type of this core worker process. const WorkerType worker_type_; diff --git a/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc index 7e5a8b96bc2a..43821ecd5f94 100644 --- a/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc @@ -313,7 +313,7 @@ class MockRayletClient : public FakeRayletClient { bool GrantWorkerLease( const std::string &address, int port, - const NodeID &retry_at_raylet_id, + const NodeID &retry_at_node_id, bool cancel = false, std::string worker_id = WorkerID::FromRandom().Binary(), bool reject = false, @@ -325,14 +325,14 @@ class MockRayletClient : public FakeRayletClient { reply.set_failure_type(failure_type); } else if (reject) { reply.set_rejected(true); - } else if (!retry_at_raylet_id.IsNil()) { + } else if (!retry_at_node_id.IsNil()) { reply.mutable_retry_at_raylet_address()->set_ip_address(address); reply.mutable_retry_at_raylet_address()->set_port(port); - reply.mutable_retry_at_raylet_address()->set_raylet_id(retry_at_raylet_id.Binary()); + reply.mutable_retry_at_raylet_address()->set_node_id(retry_at_node_id.Binary()); } else { reply.mutable_worker_address()->set_ip_address(address); reply.mutable_worker_address()->set_port(port); - reply.mutable_worker_address()->set_raylet_id(retry_at_raylet_id.Binary()); + reply.mutable_worker_address()->set_node_id(retry_at_node_id.Binary()); reply.mutable_worker_address()->set_worker_id(worker_id); } rpc::ClientCallback callback = PopCallbackInLock(); @@ -446,9 +446,7 @@ class MockActorCreator : public ActorCreatorInterface { class MockLeasePolicy : public LeasePolicyInterface { public: - void SetNodeID(NodeID node_id) { - fallback_rpc_address_.set_raylet_id(node_id.Binary()); - } + void SetNodeID(NodeID node_id) { fallback_rpc_address_.set_node_id(node_id.Binary()); } std::pair GetBestNodeForTask(const TaskSpecification &spec) { num_lease_policy_consults++; @@ -497,7 +495,7 @@ class NormalTaskSubmitterTest : public testing::Test { raylet_client_factory = nullptr, std::shared_ptr custom_memory_store = nullptr, int64_t lease_timeout_ms = kLongTimeout, - NodeID local_raylet_id = NodeID::Nil()) { + NodeID local_node_id = NodeID::Nil()) { if (custom_memory_store != nullptr) { store = custom_memory_store; } @@ -515,7 +513,7 @@ class NormalTaskSubmitterTest : public testing::Test { std::move(lease_policy), store, *task_manager, - local_raylet_id, + local_node_id, worker_type, lease_timeout_ms, actor_creator, @@ -1337,8 +1335,8 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { ASSERT_EQ(remote_raylet_clients.size(), 0); // Spillback to a remote node. - auto remote_raylet_id = NodeID::FromRandom(); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_raylet_id)); + auto remote_node_id = NodeID::FromRandom(); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_node_id)); ASSERT_EQ(remote_raylet_clients.count(7777), 1); // Confirm that lease policy is not consulted on spillback. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); @@ -1377,8 +1375,8 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { remote_raylet_clients[addr.port()] = client; return client; }; - auto local_raylet_id = NodeID::FromRandom(); - lease_policy_ptr->SetNodeID(local_raylet_id); + auto local_node_id = NodeID::FromRandom(); + lease_policy_ptr->SetNodeID(local_node_id); auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), @@ -1386,7 +1384,7 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { raylet_client_factory, store, kLongTimeout, - local_raylet_id); + local_node_id); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -1397,8 +1395,8 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { ASSERT_EQ(remote_raylet_clients.size(), 0); // Spillback to a remote node. - auto remote_raylet_id = NodeID::FromRandom(); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_raylet_id)); + auto remote_node_id = NodeID::FromRandom(); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_node_id)); ASSERT_EQ(remote_raylet_clients.count(7777), 1); ASSERT_EQ(remote_raylet_clients[7777]->num_workers_requested, 1); // Confirm that the spillback lease request has grant_or_reject set to true. @@ -1408,7 +1406,7 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, NodeID::Nil())); // Trigger a rejection back to the local node. ASSERT_TRUE(remote_raylet_clients[7777]->GrantWorkerLease( - "local", 1234, local_raylet_id, false, "", /*reject=*/true)); + "local", 1234, local_node_id, false, "", /*reject=*/true)); // We should not have created another lease client to the local raylet. ASSERT_EQ(remote_raylet_clients.size(), 1); // There should be no more callbacks on the remote node. diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc index 78e4fef68a24..d364a6b006a5 100644 --- a/src/ray/core_worker/test/core_worker_test.cc +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -115,7 +115,7 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { rpc::Address rpc_address; rpc_address.set_ip_address(options.node_ip_address); rpc_address.set_port(core_worker_server->GetPort()); - rpc_address.set_raylet_id(NodeID::FromRandom().Binary()); + rpc_address.set_node_id(NodeID::FromRandom().Binary()); rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); auto fake_object_info_publisher = std::make_unique(); diff --git a/src/ray/core_worker/test/lease_policy_test.cc b/src/ray/core_worker/test/lease_policy_test.cc index 3bdd17bb5000..37e1a584cd2c 100644 --- a/src/ray/core_worker/test/lease_policy_test.cc +++ b/src/ray/core_worker/test/lease_policy_test.cc @@ -57,7 +57,7 @@ class MockLocalityDataProvider : public LocalityDataProviderInterface { std::optional MockNodeAddrFactory(const NodeID &node_id) { rpc::Address mock_rpc_address; - mock_rpc_address.set_raylet_id(node_id.Binary()); + mock_rpc_address.set_node_id(node_id.Binary()); std::optional opt_mock_rpc_address = mock_rpc_address; return opt_mock_rpc_address; } @@ -77,7 +77,7 @@ TEST(LocalLeasePolicyTest, TestReturnFallback) { auto [best_node_address, is_selected_based_on_locality] = local_lease_policy.GetBestNodeForTask(task_spec); // Test that fallback node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), fallback_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); } @@ -105,7 +105,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackSpreadSchedulingStrat // Locality logic is not run since it's a spread scheduling strategy. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, 0); // Test that fallback node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), fallback_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); } @@ -136,7 +136,7 @@ TEST(LocalityAwareLeasePolicyTest, // Locality logic is not run since it's a node affinity scheduling strategy. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, 0); // Test that node affinity node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), node_affinity_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), node_affinity_node); ASSERT_FALSE(is_selected_based_on_locality); } @@ -161,7 +161,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityDominatingNode) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), best_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), best_node); ASSERT_TRUE(is_selected_based_on_locality); } @@ -187,7 +187,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityBiggerObject) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), best_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), best_node); ASSERT_TRUE(is_selected_based_on_locality); } @@ -217,7 +217,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityBetterNode) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), best_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), best_node); ASSERT_TRUE(is_selected_based_on_locality); } @@ -241,7 +241,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackNoLocations) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), fallback_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); } @@ -260,7 +260,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackNoDeps) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), fallback_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); } @@ -285,7 +285,7 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackAddrFetchFail) { // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. - ASSERT_EQ(NodeID::FromBinary(best_node_address.raylet_id()), fallback_node); + ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); } diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/test/object_recovery_manager_test.cc index 44e6f277a6e0..55eeaebf706d 100644 --- a/src/ray/core_worker/test/object_recovery_manager_test.cc +++ b/src/ray/core_worker/test/object_recovery_manager_test.cc @@ -121,7 +121,7 @@ class MockObjectDirectory { class ObjectRecoveryManagerTestBase : public ::testing::Test { public: explicit ObjectRecoveryManagerTestBase(bool lineage_enabled) - : local_raylet_id_(NodeID::FromRandom()), + : local_node_id_(NodeID::FromRandom()), io_context_("TestOnly.ObjectRecoveryManagerTestBase"), publisher_(std::make_shared()), subscriber_(std::make_shared()), @@ -171,7 +171,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { io_context_.Stop(); } - NodeID local_raylet_id_; + NodeID local_node_id_; absl::flat_hash_map failed_reconstructions_; // Used by memory_store_. @@ -236,7 +236,7 @@ TEST_F(ObjectRecoveryLineageDisabledTest, TestPinNewCopy) { true, /*add_local_ref=*/true); rpc::Address address; - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); object_directory_->SetLocations(object_id, {address}); ASSERT_TRUE(manager_.RecoverObject(object_id)); @@ -256,9 +256,9 @@ TEST_F(ObjectRecoveryManagerTest, TestPinNewCopy) { true, /*add_local_ref=*/true); rpc::Address address1; - address1.set_raylet_id(NodeID::FromRandom().Binary()); + address1.set_node_id(NodeID::FromRandom().Binary()); rpc::Address address2; - address2.set_raylet_id(NodeID::FromRandom().Binary()); + address2.set_node_id(NodeID::FromRandom().Binary()); object_directory_->SetLocations(object_id, {address1, address2}); ASSERT_TRUE(manager_.RecoverObject(object_id)); @@ -308,7 +308,7 @@ TEST_F(ObjectRecoveryManagerTest, TestReconstructionSuppression) { // A new copy of the object is pinned. NodeID remote_node_id = NodeID::FromRandom(); rpc::Address address; - address.set_raylet_id(remote_node_id.Binary()); + address.set_node_id(remote_node_id.Binary()); object_directory_->SetLocations(object_id, {address}); ASSERT_EQ(object_directory_->Flush(), 1); ASSERT_EQ(raylet_client_->Flush(), 1); diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/test/reference_count_test.cc index 31fb503fab9e..206a86263fa1 100644 --- a/src/ray/core_worker/test/reference_count_test.cc +++ b/src/ray/core_worker/test/reference_count_test.cc @@ -293,7 +293,7 @@ class MockWorkerClient : public MockCoreWorkerClientInterface { static rpc::Address CreateRandomAddress(const std::string &addr) { rpc::Address address; address.set_ip_address(addr); - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); return address; } diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/test/task_manager_test.cc index 64e5ef03d29c..3830d9821474 100644 --- a/src/ray/core_worker/test/task_manager_test.cc +++ b/src/ray/core_worker/test/task_manager_test.cc @@ -737,7 +737,7 @@ TEST_F(TaskManagerTest, TestLocalityDataAdded) { return_object->set_in_plasma(true); return_object->set_size(object_size); rpc::Address worker_addr; - worker_addr.set_raylet_id(node_id.Binary()); + worker_addr.set_node_id(node_id.Binary()); manager_.AddPendingTask(rpc::Address(), spec, "", 0); manager_.CompletePendingTask(spec.TaskId(), reply, worker_addr, false); } diff --git a/src/ray/flatbuffers/node_manager.fbs b/src/ray/flatbuffers/node_manager.fbs index dde5dfac89d6..c6399c0d2aa2 100644 --- a/src/ray/flatbuffers/node_manager.fbs +++ b/src/ray/flatbuffers/node_manager.fbs @@ -103,7 +103,7 @@ table RegisterClientRequest { table RegisterClientReply { success: bool; failure_reason: string; - raylet_id: string; + node_id: string; port: int; } @@ -122,7 +122,7 @@ table AnnounceWorkerPortReply { // Mimics the Address protobuf. table Address { - raylet_id: string; + node_id: string; ip_address: string; port: int; // Optional unique id for the worker. diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index c1955578fedf..8683fed03eb5 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -180,11 +180,11 @@ bool is_uuid(const std::string &str) { } NodeID GcsActor::GetNodeID() const { - const auto &raylet_id_binary = actor_table_data_.address().raylet_id(); - if (raylet_id_binary.empty()) { + const auto &node_id_binary = actor_table_data_.address().node_id(); + if (node_id_binary.empty()) { return NodeID::Nil(); } - return NodeID::FromBinary(raylet_id_binary); + return NodeID::FromBinary(node_id_binary); } void GcsActor::UpdateAddress(const rpc::Address &address) { @@ -206,7 +206,7 @@ WorkerID GcsActor::GetOwnerID() const { } NodeID GcsActor::GetOwnerNodeID() const { - return NodeID::FromBinary(GetOwnerAddress().raylet_id()); + return NodeID::FromBinary(GetOwnerAddress().node_id()); } const rpc::Address &GcsActor::GetOwnerAddress() const { @@ -819,7 +819,7 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ function_manager_.AddJobReference(actor_id.JobId()); const auto &owner_address = actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); auto worker_id = WorkerID::FromBinary(owner_address.worker_id()); RAY_CHECK(unresolved_actors_[node_id][worker_id].emplace(actor->GetActorID()).second); @@ -1669,7 +1669,7 @@ void GcsActorManager::Initialize(const GcsInitData &gcs_init_data) { if (actor_table_data.state() == ray::rpc::ActorTableData::DEPENDENCIES_UNREADY) { const auto &owner = actor->GetOwnerAddress(); - const auto &owner_node = NodeID::FromBinary(owner.raylet_id()); + const auto &owner_node = NodeID::FromBinary(owner.node_id()); const auto &owner_worker = WorkerID::FromBinary(owner.worker_id()); RAY_CHECK(unresolved_actors_[owner_node][owner_worker] .emplace(actor->GetActorID()) @@ -1738,7 +1738,7 @@ const absl::flat_hash_map> void GcsActorManager::RemoveUnresolvedActor(const std::shared_ptr &actor) { const auto &owner_address = actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); auto worker_id = WorkerID::FromBinary(owner_address.worker_id()); auto iter = unresolved_actors_.find(node_id); if (iter != unresolved_actors_.end()) { diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index ddd788579ea7..263683ece7ab 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -109,7 +109,7 @@ class GcsActor { actor_table_data_.set_state(rpc::ActorTableData::DEPENDENCIES_UNREADY); - actor_table_data_.mutable_address()->set_raylet_id(NodeID::Nil().Binary()); + actor_table_data_.mutable_address()->set_node_id(NodeID::Nil().Binary()); actor_table_data_.mutable_address()->set_worker_id(WorkerID::Nil().Binary()); actor_table_data_.set_ray_namespace(ray_namespace); diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index 5eb2948d11f1..35b9c03dd146 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -77,14 +77,14 @@ void GcsActorScheduler::ScheduleByGcs(std::shared_ptr actor) { return; } const auto &retry_at_raylet_address = reply->retry_at_raylet_address(); - RAY_CHECK(!retry_at_raylet_address.raylet_id().empty()); - auto node_id = NodeID::FromBinary(retry_at_raylet_address.raylet_id()); + RAY_CHECK(!retry_at_raylet_address.node_id().empty()); + auto node_id = NodeID::FromBinary(retry_at_raylet_address.node_id()); auto node = gcs_node_manager_.GetAliveNode(node_id); RAY_CHECK(node.has_value()); // Update the address of the actor as it is tied to a node. rpc::Address address; - address.set_raylet_id(node.value()->node_id()); + address.set_node_id(node.value()->node_id()); actor->UpdateAddress(address); RAY_CHECK(node_to_actors_when_leasing_[actor->GetNodeID()] @@ -126,7 +126,7 @@ void GcsActorScheduler::ScheduleByRaylet(std::shared_ptr actor) { // Update the address of the actor as it is tied to a node. rpc::Address address; - address.set_raylet_id(node.value()->node_id()); + address.set_node_id(node.value()->node_id()); actor->UpdateAddress(address); RAY_CHECK(node_to_actors_when_leasing_[actor->GetNodeID()] @@ -245,7 +245,7 @@ void GcsActorScheduler::CancelOnLeasing(const NodeID &node_id, if (iter != alive_nodes.end()) { const auto &node_info = iter->second; rpc::Address address; - address.set_raylet_id(node_info->node_id()); + address.set_node_id(node_info->node_id()); address.set_ip_address(node_info->node_manager_address()); address.set_port(node_info->node_manager_port()); auto raylet_client = GetOrConnectRayletClient(address); @@ -287,7 +287,7 @@ void GcsActorScheduler::ReleaseUnusedActorWorkers( nodes_of_releasing_unused_workers_.insert(node_id); rpc::Address address; - address.set_raylet_id(alive_node.second->node_id()); + address.set_node_id(alive_node.second->node_id()); address.set_ip_address(alive_node.second->node_manager_address()); address.set_port(alive_node.second->node_manager_port()); auto raylet_client = GetOrConnectRayletClient(address); @@ -323,7 +323,7 @@ void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, } rpc::Address remote_address; - remote_address.set_raylet_id(node->node_id()); + remote_address.set_node_id(node->node_id()); remote_address.set_ip_address(node->node_manager_address()); remote_address.set_port(node->node_manager_port()); auto raylet_client = GetOrConnectRayletClient(remote_address); @@ -369,11 +369,11 @@ void GcsActorScheduler::HandleWorkerLeaseGrantedReply( std::shared_ptr actor, const ray::rpc::RequestWorkerLeaseReply &reply) { const auto &retry_at_raylet_address = reply.retry_at_raylet_address(); const auto &worker_address = reply.worker_address(); - if (worker_address.raylet_id().empty()) { + if (worker_address.node_id().empty()) { // The worker did not succeed in the lease, but the specified node returned a new // node, and then try again on the new node. - RAY_CHECK(!retry_at_raylet_address.raylet_id().empty()); - auto spill_back_node_id = NodeID::FromBinary(retry_at_raylet_address.raylet_id()); + RAY_CHECK(!retry_at_raylet_address.node_id().empty()); + auto spill_back_node_id = NodeID::FromBinary(retry_at_raylet_address.node_id()); auto maybe_spill_back_node = gcs_node_manager_.GetAliveNode(spill_back_node_id); if (maybe_spill_back_node.has_value()) { auto spill_back_node = maybe_spill_back_node.value(); @@ -537,7 +537,7 @@ std::shared_ptr GcsActorScheduler::GetOrConnectRayletClie bool GcsActorScheduler::KillActorOnWorker(const rpc::Address &worker_address, ActorID actor_id) { - if (worker_address.raylet_id().empty()) { + if (worker_address.node_id().empty()) { RAY_LOG(DEBUG) << "Invalid worker address, skip the killing of actor " << actor_id; return false; } @@ -607,8 +607,8 @@ void GcsActorScheduler::HandleWorkerLeaseReply( return; } - if (reply.worker_address().raylet_id().empty() && - reply.retry_at_raylet_address().raylet_id().empty() && !reply.rejected()) { + if (reply.worker_address().node_id().empty() && + reply.retry_at_raylet_address().node_id().empty() && !reply.rejected()) { // Actor creation task has been cancelled. It is triggered by `ray.kill`. If // the number of remaining restarts of the actor is not equal to 0, GCS will // reschedule the actor, so it return directly here. diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index 1cd9a0907e05..b3a3c708debc 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -236,7 +236,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { WorkerID GetWorkerID() const { return WorkerID::FromBinary(address_.worker_id()); } /// Get the NodeID of this leased worker. - NodeID GetNodeID() const { return NodeID::FromBinary(address_.raylet_id()); } + NodeID GetNodeID() const { return NodeID::FromBinary(address_.node_id()); } /// Get the id of the actor which is assigned to this leased worker. ActorID GetAssignedActorID() const { return assigned_actor_id_; } diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 5400b353dc06..8211d1c77ba2 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -489,7 +489,7 @@ void GcsJobManager::OnNodeDead(const NodeID &node_id) { // - (1) are not already dead. // - (2) have their driver running on the dead node. for (auto &data : result) { - auto driver_node_id = NodeID::FromBinary(data.second.driver_address().raylet_id()); + auto driver_node_id = NodeID::FromBinary(data.second.driver_address().node_id()); if (!data.second.is_dead() && driver_node_id == node_id) { MarkJobAsFinished(data.second, [data](Status status) { if (!status.ok()) { diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index 0ca35f1765ed..6a981400adf5 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -292,7 +292,7 @@ std::shared_ptr GcsPlacementGroupScheduler::GetRayletClientFromNode( const std::shared_ptr &node) { rpc::Address remote_address; - remote_address.set_raylet_id(node->node_id()); + remote_address.set_node_id(node->node_id()); remote_address.set_ip_address(node->node_manager_address()); remote_address.set_port(node->node_manager_port()); return GetOrConnectRayletClient(remote_address); diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 81058297b98c..f5fff4004c96 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -70,7 +70,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, addr, this->client_call_manager_, /*raylet_unavailable_timeout_callback=*/[this, addr]() { - const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); + const NodeID node_id = NodeID::FromBinary(addr.node_id()); auto alive_node = this->gcs_node_manager_->GetAliveNode(node_id); if (!alive_node.has_value()) { this->raylet_client_pool_.Disconnect(node_id); @@ -82,7 +82,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, addr, this->client_call_manager_, /*core_worker_unavailable_timeout_callback*/ [this, addr]() { - const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); + const NodeID node_id = NodeID::FromBinary(addr.node_id()); const WorkerID worker_id = WorkerID::FromBinary(addr.worker_id()); auto alive_node = this->gcs_node_manager_->GetAliveNode(node_id); if (!alive_node.has_value()) { @@ -797,7 +797,7 @@ void GcsServer::InstallEventListeners() { auto &worker_address = worker_failure_data->worker_address(); auto worker_id = WorkerID::FromBinary(worker_address.worker_id()); worker_client_pool_.Disconnect(worker_id); - auto node_id = NodeID::FromBinary(worker_address.raylet_id()); + auto node_id = NodeID::FromBinary(worker_address.node_id()); auto worker_ip = worker_address.ip_address(); const rpc::RayException *creation_task_exception = nullptr; if (worker_failure_data->has_creation_task_exception()) { diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.cc b/src/ray/gcs/gcs_server/gcs_worker_manager.cc index 42e8709d5f8d..bd3b16ff9bdc 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.cc @@ -42,7 +42,7 @@ void GcsWorkerManager::HandleReportWorkerFailure( {[this, reply, send_reply_callback, worker_id, request = std::move(request)]( const std::optional &result) { const auto &worker_address = request.worker_failure().worker_address(); - const auto node_id = NodeID::FromBinary(worker_address.raylet_id()); + const auto node_id = NodeID::FromBinary(worker_address.node_id()); std::string message = absl::StrCat("Reporting worker exit, worker id = ", worker_id.Hex(), @@ -89,13 +89,12 @@ void GcsWorkerManager::HandleReportWorkerFailure( if (!IsIntentionalWorkerFailure(worker_failure_data->exit_type())) { stats::UnintentionalWorkerFailures.Record(1); } - // Only publish worker_id and raylet_id in address as they are the only + // Only publish worker_id and node_id in address as they are the only // fields used by sub clients. rpc::WorkerDeltaData worker_failure; worker_failure.set_worker_id( worker_failure_data->worker_address().worker_id()); - worker_failure.set_raylet_id( - worker_failure_data->worker_address().raylet_id()); + worker_failure.set_node_id(worker_failure_data->worker_address().node_id()); RAY_CHECK_OK( gcs_publisher_.PublishWorkerFailure(worker_id, worker_failure, nullptr)); } diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc index 7f552fc41571..e5942c4da032 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc @@ -212,7 +212,7 @@ class GcsActorManagerTest : public ::testing::Test { rpc::Address address; auto node_id = NodeID::FromRandom(); auto worker_id = WorkerID::FromRandom(); - address.set_raylet_id(node_id.Binary()); + address.set_node_id(node_id.Binary()); address.set_worker_id(worker_id.Binary()); return address; } diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc index 5b41f25778ab..ba3e54770746 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc @@ -157,7 +157,7 @@ class GcsActorManagerTest : public ::testing::Test { rpc::Address address; auto node_id = NodeID::FromRandom(); auto worker_id = WorkerID::FromRandom(); - address.set_raylet_id(node_id.Binary()); + address.set_node_id(node_id.Binary()); address.set_worker_id(worker_id.Binary()); return address; } @@ -350,7 +350,7 @@ TEST_F(GcsActorManagerTest, TestWorkerFailure) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); auto worker_id = WorkerID::FromBinary(address.worker_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); @@ -408,7 +408,7 @@ TEST_F(GcsActorManagerTest, TestNodeFailure) { ASSERT_EQ(actor->GetState(), rpc::ActorTableData::ALIVE); // Remove node and then check that the actor is dead. - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); EXPECT_CALL(*mock_actor_scheduler_, CancelOnNode(node_id)); OnNodeDead(node_id); @@ -447,7 +447,7 @@ TEST_F(GcsActorManagerTest, TestActorReconstruction) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -463,7 +463,7 @@ TEST_F(GcsActorManagerTest, TestActorReconstruction) { mock_actor_scheduler_->actors.clear(); ASSERT_EQ(finished_actors.size(), 1); auto node_id2 = NodeID::FromRandom(); - address.set_raylet_id(node_id2.Binary()); + address.set_node_id(node_id2.Binary()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -515,7 +515,7 @@ TEST_F(GcsActorManagerTest, TestActorRestartWhenOwnerDead) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -689,7 +689,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionWorkerFailure) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); auto worker_id = WorkerID::FromBinary(address.worker_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); @@ -747,7 +747,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNodeFailure) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -805,7 +805,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNotHappendWhenReconstructed) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); auto worker_id = WorkerID::FromBinary(address.worker_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); @@ -891,7 +891,7 @@ TEST_F(GcsActorManagerTest, TestRaceConditionCancelLease) { rpc::Address address; auto node_id = NodeID::FromRandom(); auto worker_id = WorkerID::FromRandom(); - address.set_raylet_id(node_id.Binary()); + address.set_node_id(node_id.Binary()); address.set_worker_id(worker_id.Binary()); actor->UpdateAddress(address); const auto &actor_id = actor->GetActorID(); @@ -942,7 +942,7 @@ TEST_F(GcsActorManagerTest, TestOwnerWorkerDieBeforeActorDependenciesResolved) { auto job_id = JobID::FromInt(1); auto registered_actor = RegisterActor(job_id); const auto &owner_address = registered_actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); auto worker_id = WorkerID::FromBinary(owner_address.worker_id()); gcs_actor_manager_->OnWorkerDead(node_id, worker_id); io_service_.run_one(); @@ -968,7 +968,7 @@ TEST_F(GcsActorManagerTest, TestOwnerWorkerDieBeforeDetachedActorDependenciesRes auto job_id = JobID::FromInt(1); auto registered_actor = RegisterActor(job_id, /*max_restarts=*/1, /*detached=*/true); const auto &owner_address = registered_actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); auto worker_id = WorkerID::FromBinary(owner_address.worker_id()); gcs_actor_manager_->OnWorkerDead(node_id, worker_id); io_service_.run_one(); @@ -993,7 +993,7 @@ TEST_F(GcsActorManagerTest, TestOwnerNodeDieBeforeActorDependenciesResolved) { auto job_id = JobID::FromInt(1); auto registered_actor = RegisterActor(job_id); const auto &owner_address = registered_actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); OnNodeDead(node_id); ASSERT_EQ(registered_actor->GetState(), rpc::ActorTableData::DEAD); ASSERT_TRUE( @@ -1015,7 +1015,7 @@ TEST_F(GcsActorManagerTest, TestOwnerNodeDieBeforeDetachedActorDependenciesResol auto job_id = JobID::FromInt(1); auto registered_actor = RegisterActor(job_id, /*max_restarts=*/1, /*detached=*/true); const auto &owner_address = registered_actor->GetOwnerAddress(); - auto node_id = NodeID::FromBinary(owner_address.raylet_id()); + auto node_id = NodeID::FromBinary(owner_address.node_id()); OnNodeDead(node_id); ASSERT_EQ(registered_actor->GetState(), rpc::ActorTableData::DEAD); ASSERT_TRUE( @@ -1135,7 +1135,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { auto owner_address = request_1.task_spec().caller_address(); auto node_info = std::make_shared(); - node_info->set_node_id(owner_address.raylet_id()); + node_info->set_node_id(owner_address.node_id()); gcs_actor_manager_->OnNodeDead(node_info, ""); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, ray_namespace).Binary(), ActorID::Nil().Binary()); @@ -1358,7 +1358,7 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { // Check that the actor is in state `ALIVE`. auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -1375,7 +1375,7 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { mock_actor_scheduler_->actors.clear(); ASSERT_EQ(created_actors.size(), 1); auto node_id2 = NodeID::FromRandom(); - address.set_raylet_id(node_id2.Binary()); + address.set_node_id(node_id2.Binary()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -1407,7 +1407,7 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { mock_actor_scheduler_->actors.clear(); ASSERT_EQ(created_actors.size(), 1); auto node_id3 = NodeID::FromRandom(); - address.set_raylet_id(node_id3.Binary()); + address.set_node_id(node_id3.Binary()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -1538,7 +1538,7 @@ TEST_F(GcsActorManagerTest, TestIdempotencyOfRestartActorForLineageReconstructio mock_actor_scheduler_->actors.clear(); ASSERT_EQ(created_actors.size(), 1); auto node_id = NodeID::FromRandom(); - address.set_raylet_id(node_id.Binary()); + address.set_node_id(node_id.Binary()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); io_service_.run_one(); @@ -1667,7 +1667,7 @@ TEST_F(GcsActorManagerTest, TestRestartPreemptedActor) { // Make the actor alive on a specific node auto address = RandomAddress(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); auto worker_id = WorkerID::FromBinary(address.worker_id()); actor->UpdateAddress(address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); @@ -1686,7 +1686,7 @@ TEST_F(GcsActorManagerTest, TestRestartPreemptedActor) { // Make the actor alive on a specific node again. auto new_address = RandomAddress(); - auto new_node_id = NodeID::FromBinary(new_address.raylet_id()); + auto new_node_id = NodeID::FromBinary(new_address.node_id()); auto new_worker_id = WorkerID::FromBinary(new_address.worker_id()); actor->UpdateAddress(new_address); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); @@ -1709,7 +1709,7 @@ TEST_F(GcsActorManagerTest, TestRestartPreemptedActor) { // Make the actor alive on another node again auto new_address_2 = RandomAddress(); - auto new_node_id_2 = NodeID::FromBinary(new_address_2.raylet_id()); + auto new_node_id_2 = NodeID::FromBinary(new_address_2.node_id()); auto new_worker_id_2 = WorkerID::FromBinary(new_address_2.worker_id()); actor->UpdateAddress(new_address_2); gcs_actor_manager_->OnActorCreationSuccess(actor, rpc::PushTaskReply()); diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc index 4493b8257bc1..2671f360ec09 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc @@ -130,7 +130,7 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak1) { actor->GetMutableActorTableData()->set_state(rpc::ActorTableData::DEAD); actor_scheduler->CancelOnNode(node_id); ray::rpc::RequestWorkerLeaseReply reply; - reply.mutable_worker_address()->set_raylet_id(node_id.Binary()); + reply.mutable_worker_address()->set_node_id(node_id.Binary()); reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); cb(Status::OK(), std::move(reply)); } @@ -162,7 +162,7 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { DoAll(SaveArgToUniquePtr<4>(&async_put_with_index_cb), Return(Status::OK()))); actor_scheduler->ScheduleByRaylet(actor); rpc::RequestWorkerLeaseReply reply; - reply.mutable_worker_address()->set_raylet_id(node_id.Binary()); + reply.mutable_worker_address()->set_node_id(node_id.Binary()); reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); request_worker_lease_cb(Status::OK(), std::move(reply)); diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc index 1834056bbd62..128d5df7124b 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc @@ -120,7 +120,7 @@ class GcsActorSchedulerTest : public ::testing::Test { std::shared_ptr NewGcsActor( const std::unordered_map &required_placement_resources) { rpc::Address owner_address; - owner_address.set_raylet_id(NodeID::FromRandom().Binary()); + owner_address.set_node_id(NodeID::FromRandom().Binary()); owner_address.set_ip_address("127.0.0.1"); owner_address.set_port(5678); owner_address.set_worker_id(WorkerID::FromRandom().Binary()); @@ -578,7 +578,7 @@ TEST_F(GcsActorSchedulerTest, TestReschedule) { std::make_shared(create_actor_request.task_spec(), "", counter); rpc::Address address; WorkerID worker_id = WorkerID::FromRandom(); - address.set_raylet_id(node_id_1.Binary()); + address.set_node_id(node_id_1.Binary()); address.set_worker_id(worker_id.Binary()); actor->UpdateAddress(address); @@ -1129,7 +1129,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestRescheduleByGcs) { // 1.Actor is already tied to a leased worker. rpc::Address address; WorkerID worker_id = WorkerID::FromRandom(); - address.set_raylet_id(node_id_1.Binary()); + address.set_node_id(node_id_1.Binary()); address.set_worker_id(worker_id.Binary()); actor->UpdateAddress(address); diff --git a/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc index 683016b5d801..eab0a5333a08 100644 --- a/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc @@ -129,7 +129,7 @@ TEST_F(GcsJobManagerTest, TestIsRunningTasks) { address.set_port(num_running_tasks); // Populate other fields, the value is not important. - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_ip_address("123.456.7.8"); address.set_worker_id(WorkerID::FromRandom().Binary()); @@ -557,7 +557,7 @@ TEST_F(GcsJobManagerTest, TestPreserveDriverInfo) { rpc::Address address; address.set_ip_address("10.0.0.1"); address.set_port(8264); - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); add_job_request->mutable_data()->set_driver_ip_address("10.0.0.1"); add_job_request->mutable_data()->mutable_driver_address()->CopyFrom(address); @@ -744,7 +744,7 @@ TEST_F(GcsJobManagerTest, TestNodeFailure) { // Remove node and then check that the job is dead. auto address = all_job_info_reply.job_info_list().Get(0).driver_address(); - auto node_id = NodeID::FromBinary(address.raylet_id()); + auto node_id = NodeID::FromBinary(address.node_id()); gcs_job_manager_->OnNodeDead(node_id); // Test get all jobs and check if killed node jobs marked as finished @@ -763,7 +763,7 @@ TEST_F(GcsJobManagerTest, TestNodeFailure) { bool job_condition = true; // job1 from the current node should dead, while job2 is still alive for (auto job_info : all_job_info_reply2.job_info_list()) { - auto job_node_id = NodeID::FromBinary(job_info.driver_address().raylet_id()); + auto job_node_id = NodeID::FromBinary(job_info.driver_address().node_id()); job_condition = job_condition && (job_info.is_dead() == (job_node_id == node_id)); } return job_condition; diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h index c530d76f285e..93ad48a844d2 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/test/gcs_server_test_util.h @@ -137,26 +137,25 @@ struct GcsServerMocker { bool GrantWorkerLease(const std::string &address, int port, const WorkerID &worker_id, - const NodeID &raylet_id, - const NodeID &retry_at_raylet_id, + const NodeID &node_id, + const NodeID &retry_at_node_id, Status status = Status::OK(), bool rejected = false) { rpc::RequestWorkerLeaseReply reply; - if (!retry_at_raylet_id.IsNil()) { + if (!retry_at_node_id.IsNil()) { reply.mutable_retry_at_raylet_address()->set_ip_address(address); reply.mutable_retry_at_raylet_address()->set_port(port); - reply.mutable_retry_at_raylet_address()->set_raylet_id( - retry_at_raylet_id.Binary()); + reply.mutable_retry_at_raylet_address()->set_node_id(retry_at_node_id.Binary()); } else { reply.mutable_worker_address()->set_ip_address(address); reply.mutable_worker_address()->set_port(port); - reply.mutable_worker_address()->set_raylet_id(raylet_id.Binary()); + reply.mutable_worker_address()->set_node_id(node_id.Binary()); reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); } if (rejected) { reply.set_rejected(true); auto resources_data = reply.mutable_resources_data(); - resources_data->set_node_id(raylet_id.Binary()); + resources_data->set_node_id(node_id.Binary()); resources_data->set_resources_normal_task_changed(true); auto &normal_task_map = *(resources_data->mutable_resources_normal_task()); normal_task_map[kMemory_ResourceLabel] = diff --git a/src/ray/gcs/pb_util.h b/src/ray/gcs/pb_util.h index 2733cf470e86..2bb0c6ace6d4 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/gcs/pb_util.h @@ -84,7 +84,7 @@ inline std::shared_ptr CreateWorkerFailureData( // Only report the worker id + delta (new data upon worker failures). // GCS will merge the data with original worker data. worker_failure_info_ptr->mutable_worker_address()->set_worker_id(worker_id.Binary()); - worker_failure_info_ptr->mutable_worker_address()->set_raylet_id(node_id.Binary()); + worker_failure_info_ptr->mutable_worker_address()->set_node_id(node_id.Binary()); worker_failure_info_ptr->mutable_worker_address()->set_ip_address(ip_address); worker_failure_info_ptr->set_timestamp(timestamp); worker_failure_info_ptr->set_exit_type(disconnect_type); diff --git a/src/ray/gcs/test/gcs_test_util.h b/src/ray/gcs/test/gcs_test_util.h index 56379b5a1154..4b5b125a97a7 100644 --- a/src/ray/gcs/test/gcs_test_util.h +++ b/src/ray/gcs/test/gcs_test_util.h @@ -95,7 +95,7 @@ struct Mocker { const std::string &name = "", const std::string &ray_namespace = "") { rpc::Address owner_address; - owner_address.set_raylet_id(NodeID::FromRandom().Binary()); + owner_address.set_node_id(NodeID::FromRandom().Binary()); owner_address.set_ip_address("1234"); owner_address.set_port(5678); owner_address.set_worker_id(WorkerID::FromRandom().Binary()); @@ -113,7 +113,7 @@ struct Mocker { const std::string &name = "", const std::string &ray_namespace = "test") { rpc::Address owner_address; - owner_address.set_raylet_id(NodeID::FromRandom().Binary()); + owner_address.set_node_id(NodeID::FromRandom().Binary()); owner_address.set_ip_address("1234"); owner_address.set_port(5678); owner_address.set_worker_id(WorkerID::FromRandom().Binary()); @@ -225,7 +225,7 @@ struct Mocker { rpc::Address address; address.set_ip_address("127.0.0.1"); address.set_port(1234); - address.set_raylet_id(UniqueID::FromRandom().Binary()); + address.set_node_id(UniqueID::FromRandom().Binary()); address.set_worker_id(UniqueID::FromRandom().Binary()); job_table_data->mutable_driver_address()->CopyFrom(address); job_table_data->set_driver_pid(5667L); @@ -271,7 +271,7 @@ struct Mocker { } else { rpc::Address dummy_address; dummy_address.set_port(1234); - dummy_address.set_raylet_id(NodeID::FromRandom().Binary()); + dummy_address.set_node_id(NodeID::FromRandom().Binary()); dummy_address.set_ip_address("123.456.7.8"); dummy_address.set_worker_id(WorkerID::FromRandom().Binary()); job_table_data->mutable_driver_address()->CopyFrom(dummy_address); diff --git a/src/ray/ipc/raylet_ipc_client.cc b/src/ray/ipc/raylet_ipc_client.cc index bcf3e4409367..dc693d281978 100644 --- a/src/ray/ipc/raylet_ipc_client.cc +++ b/src/ray/ipc/raylet_ipc_client.cc @@ -32,7 +32,7 @@ namespace { flatbuffers::Offset to_flatbuf( flatbuffers::FlatBufferBuilder &fbb, const ray::rpc::Address &address) { return ray::protocol::CreateAddress(fbb, - fbb.CreateString(address.raylet_id()), + fbb.CreateString(address.node_id()), fbb.CreateString(address.ip_address()), address.port(), fbb.CreateString(address.worker_id())); @@ -74,7 +74,7 @@ ray::Status RayletIpcClient::RegisterClient(const WorkerID &worker_id, const std::string &ip_address, const std::string &serialized_job_config, const StartupToken &startup_token, - NodeID *raylet_id, + NodeID *node_id, int *assigned_port) { flatbuffers::FlatBufferBuilder fbb; auto message = @@ -101,7 +101,7 @@ ray::Status RayletIpcClient::RegisterClient(const WorkerID &worker_id, return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); } - *raylet_id = NodeID::FromBinary(reply_message->raylet_id()->str()); + *node_id = NodeID::FromBinary(reply_message->node_id()->str()); *assigned_port = reply_message->port(); return Status::OK(); } diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/raylet_ipc_client.h index 47a1132d6a29..15ee56670513 100644 --- a/src/ray/ipc/raylet_ipc_client.h +++ b/src/ray/ipc/raylet_ipc_client.h @@ -49,7 +49,7 @@ class RayletIpcClientInterface { /// \param ip_address The ip_address of the connecting worker. /// \param serialized_job_config The serialized job config of the connecting worker. /// \param startup_token The token that was passed to this worker at startup. - /// \param[out] raylet_id The node ID for the local Raylet. + /// \param[out] node_id The node ID for the local Raylet. /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, /// the worker should pick a port randomly. virtual ray::Status RegisterClient(const WorkerID &worker_id, @@ -60,7 +60,7 @@ class RayletIpcClientInterface { const std::string &ip_address, const std::string &serialized_job_config, const StartupToken &startup_token, - NodeID *raylet_id, + NodeID *node_id, int *assigned_port) = 0; /// Notify the raylet that this client is disconnecting gracefully. This @@ -210,7 +210,7 @@ class RayletIpcClient : public RayletIpcClientInterface { const std::string &ip_address, const std::string &serialized_job_config, const StartupToken &startup_token, - NodeID *raylet_id, + NodeID *node_id, int *assigned_port) override; ray::Status Disconnect(const rpc::WorkerExitType &exit_type, diff --git a/src/ray/object_manager/common.h b/src/ray/object_manager/common.h index 7a790bc91275..709671026e11 100644 --- a/src/ray/object_manager/common.h +++ b/src/ray/object_manager/common.h @@ -216,8 +216,8 @@ struct ObjectInfo { bool is_mutable = false; int64_t data_size = 0; int64_t metadata_size = 0; - /// Owner's raylet ID. - NodeID owner_raylet_id; + /// Owner's node ID. + NodeID owner_node_id; /// Owner's IP address. std::string owner_ip_address; /// Owner's port. @@ -232,7 +232,7 @@ struct ObjectInfo { bool operator==(const ObjectInfo &other) const { return ((object_id == other.object_id) && (data_size == other.data_size) && (metadata_size == other.metadata_size) && - (owner_raylet_id == other.owner_raylet_id) && + (owner_node_id == other.owner_node_id) && (owner_ip_address == other.owner_ip_address) && (owner_port == other.owner_port) && (owner_worker_id == other.owner_worker_id)); diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index a6bdead01cfe..e2040c3aa297 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -401,7 +401,7 @@ void ObjectManager::PushLocalObject(const ObjectID &object_id, const NodeID &nod uint64_t metadata_size = static_cast(object_info.metadata_size); rpc::Address owner_address; - owner_address.set_raylet_id(object_info.owner_raylet_id.Binary()); + owner_address.set_node_id(object_info.owner_node_id.Binary()); owner_address.set_ip_address(object_info.owner_ip_address); owner_address.set_port(object_info.owner_port); owner_address.set_worker_id(object_info.owner_worker_id.Binary()); diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index bc17c10c8396..53d9ba0eed0c 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -104,7 +104,7 @@ bool UpdateObjectLocations(const rpc::WorkerObjectLocationsPubMessage &location_ rpc::Address GetOwnerAddressFromObjectInfo(const ObjectInfo &object_info) { rpc::Address owner_address; - owner_address.set_raylet_id(object_info.owner_raylet_id.Binary()); + owner_address.set_node_id(object_info.owner_node_id.Binary()); owner_address.set_ip_address(object_info.owner_ip_address); owner_address.set_port(object_info.owner_port); owner_address.set_worker_id(object_info.owner_worker_id.Binary()); diff --git a/src/ray/object_manager/plasma/plasma.fbs b/src/ray/object_manager/plasma/plasma.fbs index f64e450da7bc..0211916f0513 100644 --- a/src/ray/object_manager/plasma/plasma.fbs +++ b/src/ray/object_manager/plasma/plasma.fbs @@ -127,8 +127,8 @@ table PlasmaGetDebugStringReply { table PlasmaCreateRequest { // ID of the object to be created. object_id: string; - // Owner raylet ID of this object. - owner_raylet_id: string; + // Owner node ID of this object. + owner_node_id: string; // Owner IP address of this object. owner_ip_address: string; // Owner port address of this object. diff --git a/src/ray/object_manager/plasma/protocol.cc b/src/ray/object_manager/plasma/protocol.cc index 153de7181d28..8d589efeea01 100644 --- a/src/ray/object_manager/plasma/protocol.cc +++ b/src/ray/object_manager/plasma/protocol.cc @@ -40,7 +40,7 @@ using flatbuffers::uoffset_t; inline constexpr std::string_view kDebugString = "debug_string"; inline constexpr std::string_view kObjectId = "object_id"; inline constexpr std::string_view kObjectIds = "object_ids"; -inline constexpr std::string_view kOwnerRayletId = "owner_raylet_id"; +inline constexpr std::string_view kOwnerNodeId = "owner_node_id"; inline constexpr std::string_view kOwnerIpAddress = "owner_ip_address"; inline constexpr std::string_view kOnwerWorkerId = "owner_worker_id"; @@ -222,7 +222,7 @@ Status SendCreateRequest(const std::shared_ptr &store_conn, auto message = fb::CreatePlasmaCreateRequest(fbb, fbb.CreateString(object_id.Binary()), - fbb.CreateString(owner_address.raylet_id()), + fbb.CreateString(owner_address.node_id()), fbb.CreateString(owner_address.ip_address()), owner_address.port(), fbb.CreateString(owner_address.worker_id()), @@ -249,8 +249,8 @@ void ReadCreateRequest(const uint8_t *data, VerifyNotNullPtr(message->object_id(), kObjectId, MessageType::PlasmaCreateRequest); object_info->object_id = ObjectID::FromBinary(message->object_id()->str()); VerifyNotNullPtr( - message->owner_raylet_id(), kOwnerRayletId, MessageType::PlasmaCreateRequest); - object_info->owner_raylet_id = NodeID::FromBinary(message->owner_raylet_id()->str()); + message->owner_node_id(), kOwnerNodeId, MessageType::PlasmaCreateRequest); + object_info->owner_node_id = NodeID::FromBinary(message->owner_node_id()->str()); VerifyNotNullPtr( message->owner_ip_address(), kOwnerIpAddress, MessageType::PlasmaCreateRequest); object_info->owner_ip_address = message->owner_ip_address()->str(); diff --git a/src/ray/object_manager/plasma/test/object_store_test.cc b/src/ray/object_manager/plasma/test/object_store_test.cc index bbe73175313e..0d5704c9a484 100644 --- a/src/ray/object_manager/plasma/test/object_store_test.cc +++ b/src/ray/object_manager/plasma/test/object_store_test.cc @@ -65,7 +65,7 @@ ObjectInfo CreateObjectInfo(ObjectID object_id, int64_t object_size) { info.object_id = object_id; info.data_size = Random(object_size); info.metadata_size = object_size - info.data_size; - info.owner_raylet_id = NodeID::FromRandom(); + info.owner_node_id = NodeID::FromRandom(); info.owner_ip_address = "random_ip"; info.owner_port = Random(); info.owner_worker_id = WorkerID::FromRandom(); diff --git a/src/ray/object_manager/test/ownership_object_directory_test.cc b/src/ray/object_manager/test/ownership_object_directory_test.cc index 0b082e6bd2ac..9fc8964fdfb7 100644 --- a/src/ray/object_manager/test/ownership_object_directory_test.cc +++ b/src/ray/object_manager/test/ownership_object_directory_test.cc @@ -155,7 +155,7 @@ class OwnershipBasedObjectDirectoryTest : public ::testing::Test { ray::ObjectInfo info; info.object_id = id; info.data_size = 12; - info.owner_raylet_id = NodeID::FromRandom(); + info.owner_node_id = NodeID::FromRandom(); info.owner_ip_address = "124.2.3.4"; info.owner_port = 6739; info.owner_worker_id = worker_id; diff --git a/src/ray/object_manager/test/spilled_object_test.cc b/src/ray/object_manager/test/spilled_object_test.cc index 15f54365ea29..643596a106e9 100644 --- a/src/ray/object_manager/test/spilled_object_test.cc +++ b/src/ray/object_manager/test/spilled_object_test.cc @@ -138,9 +138,9 @@ TEST(SpilledObjectReaderTest, ParseObjectHeader) { auto assert_parse_success = [](uint64_t object_offset, std::string data, std::string metadata, - std::string raylet_id) { + std::string node_id) { rpc::Address owner_address; - owner_address.set_raylet_id(raylet_id); + owner_address.set_node_id(node_id); auto str = ContructObjectString(object_offset, data, metadata, owner_address); uint64_t actual_data_offset = 0; uint64_t actual_data_size = 0; @@ -162,7 +162,7 @@ TEST(SpilledObjectReaderTest, ParseObjectHeader) { actual_data_offset); ASSERT_EQ(data.size(), actual_data_size); ASSERT_EQ(metadata.size(), actual_metadata_size); - ASSERT_EQ(owner_address.raylet_id(), actual_owner_address.raylet_id()); + ASSERT_EQ(owner_address.node_id(), actual_owner_address.node_id()); ASSERT_EQ(data, str.substr(actual_data_offset, actual_data_size)); ASSERT_EQ(metadata, str.substr(actual_metadata_offset, actual_metadata_size)); }; @@ -171,13 +171,13 @@ TEST(SpilledObjectReaderTest, ParseObjectHeader) { std::vector data_list{"", "somedata", large_data}; std::string large_metadata(10000, 'm'); std::vector metadata_list{"", "somemetadata", large_metadata}; - std::vector raylet_ids{"", "yes", "laaaaaaaarrrrrggge"}; + std::vector node_ids{"", "yes", "laaaaaaaarrrrrggge"}; for (auto offset : offsets) { for (auto &data : data_list) { for (auto &metadata : metadata_list) { - for (auto &raylet_id : raylet_ids) { - assert_parse_success(offset, data, metadata, raylet_id); + for (auto &node_id : node_ids) { + assert_parse_success(offset, data, metadata, node_id); } } } @@ -249,7 +249,7 @@ TEST(ChunkObjectReaderTest, GetNumChunks) { auto assert_get_num_chunks = [](uint64_t data_size, uint64_t chunk_size, uint64_t expected_num_chunks) { rpc::Address owner_address; - owner_address.set_raylet_id("nonsense"); + owner_address.set_node_id("nonsense"); ChunkObjectReader reader(std::make_shared( SpilledObjectReader("path", 100 /* object_size */, @@ -334,12 +334,12 @@ TYPED_TEST(ObjectReaderTest, Getters) { std::string data("data"); std::string metadata("metadata"); rpc::Address owner_address; - owner_address.set_raylet_id("nonsense"); + owner_address.set_node_id("nonsense"); auto obj_reader = this->CreateObjectReader_(data, metadata, owner_address); ASSERT_EQ(data.size(), obj_reader->GetDataSize()); ASSERT_EQ(metadata.size(), obj_reader->GetMetadataSize()); ASSERT_EQ(data.size() + metadata.size(), obj_reader->GetObjectSize()); - ASSERT_EQ(owner_address.raylet_id(), obj_reader->GetOwnerAddress().raylet_id()); + ASSERT_EQ(owner_address.node_id(), obj_reader->GetOwnerAddress().node_id()); } TYPED_TEST(ObjectReaderTest, GetDataAndMetadata) { @@ -386,7 +386,7 @@ TYPED_TEST(ObjectReaderTest, GetChunk) { for (auto &metadata : list_metadata) { std::vector chunk_sizes{1, 2, 3, 5, 100}; rpc::Address owner_address; - owner_address.set_raylet_id("nonsense"); + owner_address.set_node_id("nonsense"); std::string expected_output = data + metadata; if (expected_output.size() != 0) { @@ -421,8 +421,8 @@ TEST(StringAllocationTest, TestNoCopyWhenStringMoved) { std::string s(1000, '\0'); auto allocation_address = s.c_str(); rpc::Address address; - address.set_raylet_id(std::move(s)); - EXPECT_EQ(allocation_address, address.raylet_id().c_str()); + address.set_node_id(std::move(s)); + EXPECT_EQ(allocation_address, address.node_id().c_str()); } TEST(StringAllocationTest, TestCopyWhenPassByPointer) { @@ -431,8 +431,8 @@ TEST(StringAllocationTest, TestCopyWhenPassByPointer) { char arr[1000]; auto allocation_address = &arr[0]; rpc::Address address; - address.set_raylet_id(allocation_address, 1000); - EXPECT_NE(allocation_address, address.raylet_id().c_str()); + address.set_node_id(allocation_address, 1000); + EXPECT_NE(allocation_address, address.node_id().c_str()); } } // namespace ray diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index d03d9286e7ff..9b3f04f2e59a 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -124,7 +124,7 @@ message SchedulingStrategy { // Address of a worker or node manager. message Address { - bytes raylet_id = 1; + bytes node_id = 1; string ip_address = 2; int32 port = 3; // Optional unique id for the worker. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index 97a8e1ae1af8..972c80489b25 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -440,7 +440,7 @@ message WorkerTableData { // Fields to publish when worker fails. message WorkerDeltaData { - bytes raylet_id = 1; + bytes node_id = 1; bytes worker_id = 2; } diff --git a/src/ray/pubsub/test/subscriber_test.cc b/src/ray/pubsub/test/subscriber_test.cc index 1453ec9409da..6d0b55ae8438 100644 --- a/src/ray/pubsub/test/subscriber_test.cc +++ b/src/ray/pubsub/test/subscriber_test.cc @@ -165,7 +165,7 @@ class SubscriberTest : public ::testing::Test { const std::string address = "abc", const int port = 1234) { rpc::Address addr; - addr.set_raylet_id(node_id); + addr.set_node_id(node_id); addr.set_ip_address(address); addr.set_port(port); addr.set_worker_id(worker_id); diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 51aff1d5c824..02c280e8c9cb 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -72,7 +72,7 @@ void LocalObjectManager::PinObjectsAndWaitForFree( wait_request->set_generator_id(generator_id.Binary()); } rpc::Address subscriber_address; - subscriber_address.set_raylet_id(self_node_id_.Binary()); + subscriber_address.set_node_id(self_node_id_.Binary()); subscriber_address.set_ip_address(self_node_address_); subscriber_address.set_port(self_node_port_); wait_request->mutable_subscriber_address()->CopyFrom(subscriber_address); diff --git a/src/ray/raylet/local_task_manager.cc b/src/ray/raylet/local_task_manager.cc index 44be7658d3d9..d37571f3d2f2 100644 --- a/src/ray/raylet/local_task_manager.cc +++ b/src/ray/raylet/local_task_manager.cc @@ -681,7 +681,7 @@ void LocalTaskManager::Spillback(const NodeID &spillback_to, reply->mutable_retry_at_raylet_address()->set_ip_address( node_info_ptr->node_manager_address()); reply->mutable_retry_at_raylet_address()->set_port(node_info_ptr->node_manager_port()); - reply->mutable_retry_at_raylet_address()->set_raylet_id(spillback_to.Binary()); + reply->mutable_retry_at_raylet_address()->set_node_id(spillback_to.Binary()); send_reply_callback(); } @@ -969,7 +969,7 @@ void LocalTaskManager::Dispatch( reply->mutable_worker_address()->set_ip_address(worker->IpAddress()); reply->mutable_worker_address()->set_port(worker->Port()); reply->mutable_worker_address()->set_worker_id(worker->WorkerId().Binary()); - reply->mutable_worker_address()->set_raylet_id(self_node_id_.Binary()); + reply->mutable_worker_address()->set_node_id(self_node_id_.Binary()); RAY_CHECK(leased_workers.find(worker->WorkerId()) == leased_workers.end()); leased_workers[worker->WorkerId()] = worker; diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index a9ad42a4bf27..7dd636db78e2 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -68,7 +68,7 @@ inline ray::rpc::ObjectReference FlatbufferToSingleObjectReference( const flatbuffers::String &object_id, const ray::protocol::Address &address) { ray::rpc::ObjectReference ref; ref.set_object_id(object_id.str()); - ref.mutable_owner_address()->set_raylet_id(address.raylet_id()->str()); + ref.mutable_owner_address()->set_node_id(address.node_id()->str()); ref.mutable_owner_address()->set_ip_address(address.ip_address()->str()); ref.mutable_owner_address()->set_port(address.port()); ref.mutable_owner_address()->set_worker_id(address.worker_id()->str()); @@ -85,7 +85,7 @@ std::vector FlatbufferToObjectReference( ray::rpc::ObjectReference ref; ref.set_object_id(object_ids.Get(i)->str()); const auto &addr = owner_addresses.Get(i); - ref.mutable_owner_address()->set_raylet_id(addr->raylet_id()->str()); + ref.mutable_owner_address()->set_node_id(addr->node_id()->str()); ref.mutable_owner_address()->set_ip_address(addr->ip_address()->str()); ref.mutable_owner_address()->set_port(addr->port()); ref.mutable_owner_address()->set_worker_id(addr->worker_id()->str()); @@ -281,7 +281,7 @@ void NodeManager::RegisterGcs() { // Subscribe to all unexpected failure notifications from the local and // remote raylets. Note that this does not include workers that failed due to - // node failure. These workers can be identified by comparing the raylet_id + // node failure. These workers can be identified by comparing the node_id // in their rpc::Address to the ID of a failed raylet. const auto &worker_failure_handler = [this](const rpc::WorkerDeltaData &worker_failure_data) { @@ -836,7 +836,7 @@ void NodeManager::NodeRemoved(const NodeID &node_id) { // Clean up workers that were owned by processes that were on the failed // node. for (const auto &[_, worker] : leased_workers_) { - const auto owner_node_id = NodeID::FromBinary(worker->GetOwnerAddress().raylet_id()); + const auto owner_node_id = NodeID::FromBinary(worker->GetOwnerAddress().node_id()); RAY_CHECK(!owner_node_id.IsNil()); if (worker->IsDetachedActor() || owner_node_id != node_id) { continue; @@ -1212,8 +1212,8 @@ void NodeManager::ProcessAnnounceWorkerPortMessageImpl( RAY_CHECK(job_config.has_value()); rpc::Address driver_address; - // Assume raylet ID is the same as the node ID. - driver_address.set_raylet_id(self_node_id_.Binary()); + // Assume node ID is the same as the node ID. + driver_address.set_node_id(self_node_id_.Binary()); driver_address.set_ip_address(worker->IpAddress()); driver_address.set_port(port); driver_address.set_worker_id(worker->WorkerId().Binary()); @@ -1663,7 +1663,7 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques const auto caller_worker = WorkerID::FromBinary(task.GetTaskSpecification().CallerAddress().worker_id()); const auto caller_node = - NodeID::FromBinary(task.GetTaskSpecification().CallerAddress().raylet_id()); + NodeID::FromBinary(task.GetTaskSpecification().CallerAddress().node_id()); if (!task.GetTaskSpecification().IsDetachedActor() && (failed_workers_cache_.contains(caller_worker) || failed_nodes_cache_.contains(caller_node))) { diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_task_manager.cc index d3b11fb8022b..18ddbcf5d36d 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager.cc @@ -455,7 +455,7 @@ void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, reply->mutable_retry_at_raylet_address()->set_ip_address( node_info_ptr->node_manager_address()); reply->mutable_retry_at_raylet_address()->set_port(node_info_ptr->node_manager_port()); - reply->mutable_retry_at_raylet_address()->set_raylet_id(spillback_to.Binary()); + reply->mutable_retry_at_raylet_address()->set_node_id(spillback_to.Binary()); send_reply_callback(); } diff --git a/src/ray/raylet/scheduling/cluster_task_manager_test.cc b/src/ray/raylet/scheduling/cluster_task_manager_test.cc index 27bc2bfa3c14..88fa3a320dc1 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager_test.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager_test.cc @@ -281,7 +281,7 @@ RayTask CreateTask( TaskID id = RandomTaskId(); JobID job_id = RandomJobId(); rpc::Address address; - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); spec_builder.SetCommonTaskSpec(id, "dummy_task", @@ -874,8 +874,7 @@ TEST_F(ClusterTaskManagerTest, DrainingWhileResolving) { missing_objects_.erase(missing_arg); std::vector unblocked = {resolving_args_task.GetTaskSpecification().TaskId()}; local_task_manager_->TasksUnblocked(unblocked); - ASSERT_EQ(spillback_reply.retry_at_raylet_address().raylet_id(), - remote_node_id.Binary()); + ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); } TEST_F(ClusterTaskManagerTest, ResourceTakenWhileResolving) { @@ -994,8 +993,7 @@ TEST_F(ClusterTaskManagerTest, TestIsSelectedBasedOnLocality) { pool_.TriggerCallbacks(); // The second task was spilled. ASSERT_EQ(num_callbacks, 2); - ASSERT_EQ(spillback_reply.retry_at_raylet_address().raylet_id(), - remote_node_id.Binary()); + ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); @@ -1049,8 +1047,7 @@ TEST_F(ClusterTaskManagerTest, TestGrantOrReject) { pool_.TriggerCallbacks(); // The second task was spilled. ASSERT_EQ(num_callbacks, 2); - ASSERT_EQ(spillback_reply.retry_at_raylet_address().raylet_id(), - remote_node_id.Binary()); + ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); @@ -1117,8 +1114,7 @@ TEST_F(ClusterTaskManagerTest, TestSpillAfterAssigned) { // The third task was spilled. ASSERT_EQ(num_callbacks, 2); - ASSERT_EQ(spillback_reply.retry_at_raylet_address().raylet_id(), - remote_node_id.Binary()); + ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 0); // Two workers start. First task was dispatched now. @@ -1212,7 +1208,7 @@ TEST_F(ClusterTaskManagerTest, NotOKPopWorkerAfterDrainingTest) { pool_.callbacks.clear(); task_manager_.ScheduleAndDispatchTasks(); // task1 is spilled and task2 is cancelled. - ASSERT_EQ(reply1.retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(reply1.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_TRUE(reply2.canceled()); ASSERT_EQ(reply2.scheduling_failure_message(), "runtime env setup error"); } @@ -1811,7 +1807,7 @@ TEST_F(ClusterTaskManagerTest, TestInfeasibleTaskWarning) { ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 1); // Make sure the spillback callback is called. - ASSERT_EQ(reply.retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); AssertNoLeaks(); } @@ -2192,14 +2188,14 @@ TEST_F(ClusterTaskManagerTest, TestSpillWaitingTasks) { task_manager_.ScheduleAndDispatchTasks(); ASSERT_EQ(num_callbacks, 2); // Spill from the back of the waiting queue. - ASSERT_EQ(replies[0]->retry_at_raylet_address().raylet_id(), ""); - ASSERT_EQ(replies[1]->retry_at_raylet_address().raylet_id(), ""); - ASSERT_EQ(replies[2]->retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); - ASSERT_EQ(replies[3]->retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); + ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), ""); + ASSERT_EQ(replies[2]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); + ASSERT_EQ(replies[3]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_FALSE(task_manager_.CancelTask(tasks[2].GetTaskSpecification().TaskId())); ASSERT_FALSE(task_manager_.CancelTask(tasks[3].GetTaskSpecification().TaskId())); // Do not spill back tasks ready to dispatch. - ASSERT_EQ(replies[4]->retry_at_raylet_address().raylet_id(), ""); + ASSERT_EQ(replies[4]->retry_at_raylet_address().node_id(), ""); AddNode(remote_node_id, 8); // Dispatch the ready task. @@ -2210,8 +2206,8 @@ TEST_F(ClusterTaskManagerTest, TestSpillWaitingTasks) { pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); // One waiting task spilled. - ASSERT_EQ(replies[0]->retry_at_raylet_address().raylet_id(), ""); - ASSERT_EQ(replies[1]->retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); + ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_FALSE(task_manager_.CancelTask(tasks[1].GetTaskSpecification().TaskId())); // One task dispatched. ASSERT_EQ(replies[4]->worker_address().port(), 1234); @@ -2221,8 +2217,8 @@ TEST_F(ClusterTaskManagerTest, TestSpillWaitingTasks) { pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); // One waiting task spilled. - ASSERT_EQ(replies[0]->retry_at_raylet_address().raylet_id(), ""); - ASSERT_EQ(replies[1]->retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); + ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_FALSE(task_manager_.CancelTask(tasks[1].GetTaskSpecification().TaskId())); // One task dispatched. ASSERT_EQ(replies[4]->worker_address().port(), 1234); @@ -2231,7 +2227,7 @@ TEST_F(ClusterTaskManagerTest, TestSpillWaitingTasks) { AddNode(remote_node_id, 8); task_manager_.ScheduleAndDispatchTasks(); ASSERT_EQ(num_callbacks, 4); - ASSERT_EQ(replies[0]->retry_at_raylet_address().raylet_id(), ""); + ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); RayTask finished_task; local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); @@ -2576,7 +2572,7 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapSpillback) { AddNode(remote_node_id, 8); task_manager_.ScheduleAndDispatchTasks(); ASSERT_EQ(num_callbacks, 2); - ASSERT_EQ(replies[1]->retry_at_raylet_address().raylet_id(), remote_node_id.Binary()); + ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); } /// Test that we exponentially increase the amount of time it takes to increase @@ -2927,8 +2923,7 @@ TEST_F(ClusterTaskManagerTest, UnscheduleableWhileDraining) { pool_.TriggerCallbacks(); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - ASSERT_EQ(spillback_reply.retry_at_raylet_address().raylet_id(), - remote_node_id.Binary()); + ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); } // Regression test for https://github.com/ray-project/ray/issues/16935: diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/test/node_manager_test.cc index 9a42fcac04d7..3ef9df384f98 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/test/node_manager_test.cc @@ -675,7 +675,7 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { // Preparing a detached actor creation task spec for the later RequestWorkerLease rpc. const auto owner_node_id = NodeID::FromRandom(); rpc::Address owner_address; - owner_address.set_raylet_id(owner_node_id.Binary()); + owner_address.set_node_id(owner_node_id.Binary()); const auto actor_id = ActorID::Of(JobID::FromInt(1), TaskID::FromRandom(JobID::FromInt(1)), 0); const auto task_spec_builder = diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc index bd37718b5e55..013a69055eae 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -28,12 +28,12 @@ std::function RayletClientPool::GetDefaultUnavailableTimeoutCallback( rpc::RayletClientPool *raylet_client_pool, const rpc::Address &addr) { return [addr, gcs_client, raylet_client_pool]() { - const NodeID raylet_id = NodeID::FromBinary(addr.raylet_id()); + const NodeID node_id = NodeID::FromBinary(addr.node_id()); - auto gcs_check_node_alive = [raylet_id, addr, raylet_client_pool, gcs_client]() { + auto gcs_check_node_alive = [node_id, addr, raylet_client_pool, gcs_client]() { gcs_client->Nodes().AsyncGetAll( - [addr, raylet_id, raylet_client_pool](const Status &status, - std::vector &&nodes) { + [addr, node_id, raylet_client_pool](const Status &status, + std::vector &&nodes) { if (!status.ok()) { // Will try again when unavailable timeout callback is retried. RAY_LOG(INFO) << "Failed to get node info from GCS"; @@ -47,18 +47,18 @@ std::function RayletClientPool::GetDefaultUnavailableTimeoutCallback( // maximum_gcs_dead_node_cached_count. // In this case, it must be 2 since there's no way for a component to // know about a remote node id until the gcs has registered it. - RAY_LOG(INFO).WithField(raylet_id) + RAY_LOG(INFO).WithField(node_id) << "Disconnecting raylet client because its node is dead"; - raylet_client_pool->Disconnect(raylet_id); + raylet_client_pool->Disconnect(node_id); return; } }, -1, - {raylet_id}); + {node_id}); }; if (gcs_client->Nodes().IsSubscribedToNodeChange()) { - auto *node_info = gcs_client->Nodes().Get(raylet_id, /*filter_dead_nodes=*/false); + auto *node_info = gcs_client->Nodes().Get(node_id, /*filter_dead_nodes=*/false); if (node_info == nullptr) { // Node could be dead or info may have not made it to the subscriber cache yet. // Check with the GCS to confirm if the node is dead. @@ -66,9 +66,9 @@ std::function RayletClientPool::GetDefaultUnavailableTimeoutCallback( return; } if (node_info->state() == rpc::GcsNodeInfo::DEAD) { - RAY_LOG(INFO).WithField(raylet_id) + RAY_LOG(INFO).WithField(node_id) << "Disconnecting raylet client because its node is dead."; - raylet_client_pool->Disconnect(raylet_id); + raylet_client_pool->Disconnect(node_id); return; } // Node is alive so raylet client is alive. @@ -81,18 +81,18 @@ std::function RayletClientPool::GetDefaultUnavailableTimeoutCallback( std::shared_ptr RayletClientPool::GetOrConnectByAddress( const rpc::Address &address) { - RAY_CHECK(address.raylet_id() != ""); + RAY_CHECK(address.node_id() != ""); absl::MutexLock lock(&mu_); - auto raylet_id = NodeID::FromBinary(address.raylet_id()); - auto it = client_map_.find(raylet_id); + auto node_id = NodeID::FromBinary(address.node_id()); + auto it = client_map_.find(node_id); if (it != client_map_.end()) { RAY_CHECK(it->second != nullptr); return it->second; } auto connection = client_factory_(address); - client_map_[raylet_id] = connection; + client_map_[node_id] = connection; - RAY_LOG(DEBUG) << "Connected to raylet " << raylet_id << " at " + RAY_LOG(DEBUG) << "Connected to raylet " << node_id << " at " << BuildAddress(address.ip_address(), address.port()); RAY_CHECK(connection != nullptr); return connection; @@ -116,13 +116,13 @@ void RayletClientPool::Disconnect(ray::NodeID id) { client_map_.erase(it); } -rpc::Address RayletClientPool::GenerateRayletAddress(const NodeID &raylet_id, +rpc::Address RayletClientPool::GenerateRayletAddress(const NodeID &node_id, const std::string &ip_address, int port) { rpc::Address address; address.set_ip_address(ip_address); address.set_port(port); - address.set_raylet_id(raylet_id.Binary()); + address.set_node_id(node_id.Binary()); return address; } diff --git a/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc b/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc index 15d81cccf7a2..6b031229354b 100644 --- a/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc +++ b/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc @@ -44,7 +44,7 @@ namespace { rpc::Address CreateRandomAddress(const std::string &addr) { rpc::Address address; address.set_ip_address(addr); - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); return address; } @@ -123,8 +123,8 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { auto raylet_client_1_address = CreateRandomAddress("1"); auto raylet_client_2_address = CreateRandomAddress("2"); - auto raylet_client_1_node_id = NodeID::FromBinary(raylet_client_1_address.raylet_id()); - auto raylet_client_2_node_id = NodeID::FromBinary(raylet_client_2_address.raylet_id()); + auto raylet_client_1_node_id = NodeID::FromBinary(raylet_client_1_address.node_id()); + auto raylet_client_2_node_id = NodeID::FromBinary(raylet_client_2_address.node_id()); auto raylet_client_1 = dynamic_cast( raylet_client_pool_->GetOrConnectByAddress(raylet_client_1_address).get()); diff --git a/src/ray/rpc/test/core_worker_client_pool_test.cc b/src/ray/rpc/test/core_worker_client_pool_test.cc index 7f06a7c5b192..f57eb3b29430 100644 --- a/src/ray/rpc/test/core_worker_client_pool_test.cc +++ b/src/ray/rpc/test/core_worker_client_pool_test.cc @@ -49,7 +49,7 @@ namespace { rpc::Address CreateRandomAddress(const std::string &addr) { rpc::Address address; address.set_ip_address(addr); - address.set_raylet_id(NodeID::FromRandom().Binary()); + address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); return address; } @@ -181,8 +181,8 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { client_pool_->GetOrConnect(worker_2_address).get()); AssertID(worker_id2, *client_pool_, true); - auto worker_1_node_id = NodeID::FromBinary(worker_1_address.raylet_id()); - auto worker_2_node_id = NodeID::FromBinary(worker_2_address.raylet_id()); + auto worker_1_node_id = NodeID::FromBinary(worker_1_address.node_id()); + auto worker_2_node_id = NodeID::FromBinary(worker_2_address.node_id()); rpc::GcsNodeInfo node_info_alive; node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 51a06cdb7166..cab4480b0c98 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -40,7 +40,7 @@ struct hash { size_t hash = std::hash()(addr.port()); hash ^= std::hash()(addr.ip_address()); hash ^= std::hash()(addr.worker_id()); - hash ^= std::hash()(addr.raylet_id()); + hash ^= std::hash()(addr.node_id()); return hash; } }; diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 99df4075a900..96f46cc3cbe8 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -30,7 +30,7 @@ std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback rpc::RayletClientPool *raylet_client_pool, const rpc::Address &addr) { return [addr, gcs_client, worker_client_pool, raylet_client_pool]() { - const NodeID node_id = NodeID::FromBinary(addr.raylet_id()); + const NodeID node_id = NodeID::FromBinary(addr.node_id()); const WorkerID worker_id = WorkerID::FromBinary(addr.worker_id()); auto check_worker_alive = [raylet_client_pool, @@ -122,7 +122,7 @@ std::shared_ptr CoreWorkerClientPool::GetOrConnect( RemoveIdleClients(); CoreWorkerClientEntry entry; - auto node_id = NodeID::FromBinary(addr_proto.raylet_id()); + auto node_id = NodeID::FromBinary(addr_proto.node_id()); auto worker_id = WorkerID::FromBinary(addr_proto.worker_id()); auto it = worker_client_map_.find(worker_id); if (it != worker_client_map_.end()) { From 923b1300bd3f3361e6ff73021566e5d7e226410f Mon Sep 17 00:00:00 2001 From: Anmol Singh Date: Tue, 12 Aug 2025 21:34:38 +0530 Subject: [PATCH 0638/1566] Remove ref to deleted panel in Ray Data metrics (#55478) ## Why are these changes needed? The "Bytes Allocated" Grafana panel was removed in https://github.com/ray-project/ray/pull/52943. However, the reference to it in the Metrics UI code was not removed, and this leads to a "Panel not found" error showing up on the UI. This PR just cleans up the reference. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: anmol Co-authored-by: anmol Signed-off-by: Douglas Strodtman --- python/ray/dashboard/client/src/pages/metrics/Metrics.tsx | 4 ---- 1 file changed, 4 deletions(-) diff --git a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx index 07e7af851266..ea393c6e9c1a 100644 --- a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx +++ b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx @@ -221,10 +221,6 @@ const DATA_METRICS_CONFIG: MetricsSectionConfig[] = [ title: "Bytes Spilled", pathParams: "theme=light&panelId=1", }, - { - title: "Bytes Allocated", - pathParams: "theme=light&panelId=2", - }, { title: "Bytes Freed", pathParams: "theme=light&panelId=3", From 26189440b573c956edc3ebf821988bf997ab5a53 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 12 Aug 2025 09:09:29 -0700 Subject: [PATCH 0639/1566] [core][obs-clean/01] de-static object_store_available_memory metric (#55515) Ray core currently offers two APIs for defining internal metrics: a static object-oriented (OO) API and a template/extern-based API. The OO API is also used for defining custom metrics at the Ray application level, and I personally find it easier to read. This series of PRs aims to unify all metric definitions under the OO API. ---- This PR migrates one metric from static to runtime definition, as part of the effort to eliminate all statically defined metrics. Currently, the OO interface attempts to register a metric at the same time its first value is recorded, due to the [C++ static initialization order fiasco](https://en.cppreference.com/w/cpp/language/siof.html), which is awkward and potentially inefficient. We can fix this by removing all statically defined metrics. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/object_manager/object_manager.cc | 2 +- src/ray/object_manager/object_manager.h | 7 +++++++ src/ray/stats/metric_defs.h | 5 ----- 3 files changed, 8 insertions(+), 6 deletions(-) diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index e2040c3aa297..405559f58b55 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -767,7 +767,7 @@ void ObjectManager::RecordMetrics() { push_manager_->RecordMetrics(); // used_memory_ includes the fallback allocation, so we should add it again here // to calculate the exact available memory. - stats::ObjectStoreAvailableMemory().Record( + ray_metric_object_store_available_memory_.Record( config_.object_store_memory - used_memory_ + plasma::plasma_store_runner->GetFallbackAllocated()); // Subtract fallback allocated memory. It is tracked separately by diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 8f20893d1d46..534ac3fcb7b6 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -32,6 +32,7 @@ #include "ray/object_manager/push_manager.h" #include "ray/rpc/object_manager/object_manager_client.h" #include "ray/rpc/object_manager/object_manager_server.h" +#include "ray/stats/metric.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/node_manager.pb.h" @@ -497,6 +498,12 @@ class ObjectManager : public ObjectManagerInterface, /// create the object in plasma. This is usually due to out-of-memory in /// plasma. size_t num_chunks_received_failed_due_to_plasma_ = 0; + + /// Metrics + ray::stats::Gauge ray_metric_object_store_available_memory_{ + /*name=*/"object_store_available_memory", + /*description=*/"Amount of memory currently available in the object store.", + /*unit=*/"bytes"}; }; } // namespace ray diff --git a/src/ray/stats/metric_defs.h b/src/ray/stats/metric_defs.h index ebd44994d3a0..ac07a5de106e 100644 --- a/src/ray/stats/metric_defs.h +++ b/src/ray/stats/metric_defs.h @@ -164,11 +164,6 @@ static Gauge LocalTotalResource("local_total_resource", {kResourceNameKey}); /// Object Manager. -static Gauge ObjectStoreAvailableMemory( - "object_store_available_memory", - "Amount of memory currently available in the object store.", - "bytes"); - static Gauge ObjectStoreUsedMemory( "object_store_used_memory", "Amount of memory currently occupied in the object store.", From cd0777cd790b2cd9435b30de83401f125f86cd02 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 12 Aug 2025 09:54:41 -0700 Subject: [PATCH 0640/1566] [ci] raydepsets: storing build arg set name in depset (#55504) instead of storing an entire build arg set object in a depset, only store the name for reference Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/tests/test_cli.py | 6 ++---- ci/raydepsets/workspace.py | 10 ++++------ 2 files changed, 6 insertions(+), 10 deletions(-) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 5ee194f96e88..a3f017ece473 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -462,9 +462,7 @@ def test_get_depset_with_build_arg_set(self): ) depset = manager.get_depset("build_args_test_depset_py311") assert depset.name == "build_args_test_depset_py311" - assert depset.build_arg_set.name == "py311_cpu" - assert depset.build_arg_set.build_args["PYTHON_VERSION"] == "py311" - assert depset.build_arg_set.build_args["CUDA_VERSION"] == "cpu" + assert depset.build_arg_set_name == "py311_cpu" def test_get_depset_without_build_arg_set(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -475,7 +473,7 @@ def test_get_depset_without_build_arg_set(self): ) depset = manager.get_depset("ray_base_test_depset") assert depset.name == "ray_base_test_depset" - assert depset.build_arg_set is None + assert depset.build_arg_set_name is None if __name__ == "__main__": diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index ccfced7b9052..afc5fc3618b0 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -23,7 +23,7 @@ class Depset: append_flags: List[str] source_depset: Optional[str] = None depsets: Optional[List[str]] = None - build_arg_set: Optional[BuildArgSet] = None + build_arg_set_name: Optional[str] = None def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): @@ -40,9 +40,7 @@ def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): return obj -def _dict_to_depset( - depset: dict, build_arg_set: Optional[BuildArgSet] = None -) -> Depset: +def _dict_to_depset(depset: dict, build_arg_set_name: Optional[str] = None) -> Depset: return Depset( name=depset.get("name"), requirements=depset.get("requirements", []), @@ -51,7 +49,7 @@ def _dict_to_depset( output=depset.get("output"), source_depset=depset.get("source_depset"), depsets=depset.get("depsets", []), - build_arg_set=build_arg_set, + build_arg_set_name=build_arg_set_name, override_flags=depset.get("override_flags", []), append_flags=depset.get("append_flags", []), ) @@ -82,7 +80,7 @@ def from_dict(data: dict) -> "Config": if build_arg_set is None: raise KeyError(f"Build arg set {build_arg_set_name} not found") depset_yaml = _substitute_build_args(depset, build_arg_set) - depsets.append(_dict_to_depset(depset_yaml, build_arg_set)) + depsets.append(_dict_to_depset(depset_yaml, build_arg_set_name)) else: depsets.append(_dict_to_depset(depset=depset)) return Config(depsets=depsets, build_arg_sets=build_arg_sets) From 66884507475ca10638cfa9a75eb275b4a7821455 Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Tue, 12 Aug 2025 22:26:41 +0530 Subject: [PATCH 0641/1566] [wheel] switch to installing ``bazelisk`` binary instead of installing from ``npm`` (#55375) this allows separately build the dashboard in another build environment other than the manylinux container that is used for building the c/c++ parts, which not only makes the build more parallel, but also make it possible to upgrade npm to a much newer version. --------- Signed-off-by: Gagandeep Singh Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-forge.sh | 22 +++++++++++++++++++--- 1 file changed, 19 insertions(+), 3 deletions(-) diff --git a/ci/build/build-manylinux-forge.sh b/ci/build/build-manylinux-forge.sh index 483aa167ae3e..29a52e3651a6 100755 --- a/ci/build/build-manylinux-forge.sh +++ b/ci/build/build-manylinux-forge.sh @@ -3,6 +3,12 @@ set -exuo pipefail +BAZELISK_VERSION="v1.26.0" + +platform="linux" + +echo "Architecture(HOSTTYPE) is ${HOSTTYPE}" + if [[ ! -e /usr/bin/nproc ]]; then echo -e '#!/bin/bash\necho 10' > "/usr/bin/nproc" chmod +x /usr/bin/nproc @@ -33,12 +39,22 @@ nvm install "$NODE_VERSION" nvm use "$NODE_VERSION" # Install bazel -npm install -g @bazel/bazelisk mkdir -p "$HOME"/bin -ln -sf "$(which bazelisk)" "$HOME"/bin/bazel +if [[ "${HOSTTYPE}" == "aarch64" || "${HOSTTYPE}" = "arm64" ]]; then + # architecture is "aarch64", but the bazel tag is "arm64" + BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-${platform}-arm64" +elif [[ "${HOSTTYPE}" == "x86_64" ]]; then + BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-${platform}-amd64" +else + echo "Could not found matching bazelisk URL for platform ${platform} and architecture ${HOSTTYPE}" + exit 1 +fi +curl -sSfL -o "$HOME"/bin/bazelisk "${BAZELISK_URL}" +chmod +x "$HOME"/bin/bazelisk +sudo ln -sf "$HOME"/bin/bazelisk /usr/local/bin/bazel # Use python3.9 as default python3 -ln -sf /usr/local/bin/python3.9 /usr/local/bin/python3 +sudo ln -sf /usr/local/bin/python3.9 /usr/local/bin/python3 { echo "build --config=ci" From a31eb20d0783110ab374bfb3778d9415b80d2e11 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Tue, 12 Aug 2025 10:37:27 -0700 Subject: [PATCH 0642/1566] [core][gpu-objects] Exception handling for application errors (#55442) https://github.com/ray-project/ray/pull/55427 and https://github.com/ray-project/ray/pull/55433 fixed exception handling for application-level errors. After #55433, the logic will look like: * The sender actor task throws an exception. * `serialize_and_store_gpu_objects` calls `GPUObjectStore.add_object(...)` to add a new object, ensuring that `_get_tensor_meta` does not hang. * `__ray_send__` and `__ray_recv__` will not actually transfer any tensor out of band, since `tensor_meta` is empty. * The exception will be sent through the normal object store to its consumers. ## Related issue number #51275 Signed-off-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/tests/test_gpu_objects_gloo.py | 52 +++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index a1b10fc4cb47..ead9c93461a1 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -43,6 +43,9 @@ def get_num_gpu_objects(self): gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager return gpu_object_manager.gpu_object_store.get_num_objects() + def fail(self, error_message): + raise Exception(error_message) + @pytest.mark.parametrize("data_size_bytes", [100]) def test_gc_gpu_object(ray_start_regular, data_size_bytes): @@ -490,5 +493,54 @@ def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular) assert torch.equal(ret_val_src[1], td["reward"]) +def test_app_error_inter_actor(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + src_actor, dst_actor = actors[0], actors[1] + + # Make sure the receiver can receive an exception from the sender. + ref = src_actor.fail.options(tensor_transport="gloo").remote("test_app_error") + with pytest.raises(Exception, match="test_app_error"): + ray.get(dst_actor.double.remote(ref)) + + # Make sure the sender and receiver do not hang. + small_tensor = torch.randn((1,)) + ref = src_actor.echo.remote(small_tensor) + result = dst_actor.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + +def test_app_error_intra_actor(ray_start_regular): + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + # Make sure the receiver can receive an exception from the sender. + ref = actor.fail.options(tensor_transport="gloo").remote("test_app_error") + with pytest.raises(Exception, match="test_app_error"): + ray.get(actor.double.remote(ref)) + + # Make sure the sender and receiver do not hang. + small_tensor = torch.randn((1,)) + ref = actor.echo.remote(small_tensor) + result = actor.double.remote(ref) + assert ray.get(result) == pytest.approx(small_tensor * 2) + + +def test_app_error_fetch_to_driver(ray_start_regular): + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + ref = actor.fail.options(tensor_transport="gloo").remote("test_app_error") + with pytest.raises(Exception, match="test_app_error"): + ray.get(ref) + + # Make sure the driver can receive an exception from the actor. + small_tensor = torch.tensor([1, 2, 3]) + ref = actor.echo.remote(small_tensor) + assert torch.equal(ray.get(ref), small_tensor) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From ae2f4cbb004c63c51ad2a9f7f03d2c0e2fbd9467 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Tue, 12 Aug 2025 11:04:58 -0700 Subject: [PATCH 0643/1566] [Data] Update streaming_exec test by removing upper bound on assertion (#55489) ## Why are these changes needed? After introducing stats to the streaming executor, the `streaming_exec_schedule_s` value seems to fluctuate, so we will remove the upper bound in the test assertion. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_streaming_executor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index ae9f0e4ef286..a8989c2bd409 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -579,7 +579,7 @@ def test_streaming_exec_schedule_s(): continue ds_stats = ds._plan.stats() - assert 0 < ds_stats.streaming_exec_schedule_s.get() < 1 + assert ds_stats.streaming_exec_schedule_s.get() > 0 def test_execution_callbacks(): From 73ead7d9eb95398dfb4a363348e6a3885da2cb43 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Tue, 12 Aug 2025 11:14:48 -0700 Subject: [PATCH 0644/1566] [serve] Update compute type for serve microbenchmarks (#55520) ## Why are these changes needed? We've been using m7a.4xlarge for lots of perf benchmarks. We should update these nightly benchmarks with the same hw type. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 +- .../compute_tpl_single_node_16_cpu.yaml | 18 ++++++++++++++++++ 2 files changed, 19 insertions(+), 1 deletion(-) create mode 100644 release/serve_tests/compute_tpl_single_node_16_cpu.yaml diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 9edc6f66a9ac..8d096b1f2d44 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2058,7 +2058,7 @@ cluster: byod: {} - cluster_compute: compute_tpl_single_node_32_cpu.yaml + cluster_compute: compute_tpl_single_node_16_cpu.yaml cloud_id: cld_wy5a6nhazplvu32526ams61d98 project_id: prj_lhlrf1u5yv8qz9qg3xzw8fkiiq diff --git a/release/serve_tests/compute_tpl_single_node_16_cpu.yaml b/release/serve_tests/compute_tpl_single_node_16_cpu.yaml new file mode 100644 index 000000000000..d4684d799118 --- /dev/null +++ b/release/serve_tests/compute_tpl_single_node_16_cpu.yaml @@ -0,0 +1,18 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +max_workers: 0 + +head_node_type: + name: head_node + # 16 cpus, arm, 64G mem, 12.5Gb NIC + instance_type: m7a.4xlarge + +worker_node_types: [] + +advanced_configurations_json: + TagSpecifications: + - ResourceType: "instance" + Tags: + - Key: ttl-hours + Value: '24' From 589271f137c3b13be75a235ffb513d1f409e673b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:14:58 -0700 Subject: [PATCH 0645/1566] [depset] remove unsafe treatment for grpcio-tools (#55516) not required any more. `grpcio-tools` are now resolving. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 1 - ci/raydepsets/tests/test_cli.py | 2 -- 2 files changed, 3 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 6ecadca48917..a6e046c2d2a2 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -16,7 +16,6 @@ --emit-index-url --emit-find-links --unsafe-package ray - --unsafe-package grpcio-tools --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index a3f017ece473..9bb61764c2d9 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -298,8 +298,6 @@ def test_override_uv_flag_multiple_flags(self): expected_flags.remove("--unsafe-package") expected_flags.remove("ray") expected_flags.remove("--unsafe-package") - expected_flags.remove("grpcio-tools") - expected_flags.remove("--unsafe-package") expected_flags.remove("setuptools") expected_flags.extend(["--unsafe-package", "dummy"]) assert ( From 1f7b611d68b75b1de29135cebe62afcdf5ed89f2 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:32:58 -0700 Subject: [PATCH 0646/1566] [image] auto detect architecture type (#55509) do not depends on the build arg Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/ray.cpu.base.aarch64.wanda.yaml | 1 - ci/docker/ray.cuda.base.aarch64.wanda.yaml | 1 - docker/base-deps/Dockerfile | 13 +++++++++++-- 3 files changed, 11 insertions(+), 4 deletions(-) diff --git a/ci/docker/ray.cpu.base.aarch64.wanda.yaml b/ci/docker/ray.cpu.base.aarch64.wanda.yaml index 1726fb261825..70d81359ad31 100644 --- a/ci/docker/ray.cpu.base.aarch64.wanda.yaml +++ b/ci/docker/ray.cpu.base.aarch64.wanda.yaml @@ -6,6 +6,5 @@ srcs: build_args: - PYTHON_VERSION - BASE_IMAGE=ubuntu:22.04 - - HOSTTYPE=aarch64 tags: - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cpu-base-aarch64 diff --git a/ci/docker/ray.cuda.base.aarch64.wanda.yaml b/ci/docker/ray.cuda.base.aarch64.wanda.yaml index 1d1d6df12787..325525355b44 100644 --- a/ci/docker/ray.cuda.base.aarch64.wanda.yaml +++ b/ci/docker/ray.cuda.base.aarch64.wanda.yaml @@ -6,6 +6,5 @@ srcs: build_args: - PYTHON_VERSION - BASE_IMAGE=nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04 - - HOSTTYPE=aarch64 tags: - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base-aarch64 diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 4d183a6ba892..06d1fa73e3eb 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -13,7 +13,6 @@ ENV LANG=C.UTF-8 ENV PATH "/home/ray/anaconda3/bin:$PATH" ARG DEBIAN_FRONTEND=noninteractive ARG PYTHON_VERSION=3.9 -ARG HOSTTYPE=${HOSTTYPE:-x86_64} ARG RAY_UID=1000 ARG RAY_GID=100 @@ -65,9 +64,19 @@ RUN </dev/stderr + exit 1 +fi + # Install miniforge wget --quiet \ - "https://github.com/conda-forge/miniforge/releases/download/24.11.3-0/Miniforge3-24.11.3-0-Linux-${HOSTTYPE}.sh" \ + "https://github.com/conda-forge/miniforge/releases/download/24.11.3-0/Miniforge3-24.11.3-0-Linux-${ARCH}.sh" \ -O /tmp/miniforge.sh /bin/bash /tmp/miniforge.sh -b -u -p $HOME/anaconda3 From b004117b7c4c17ab07c3c0a319cf30f4cb440d92 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:33:25 -0700 Subject: [PATCH 0647/1566] [image] remove uninstall dask in base image (#55508) dask is not installed in base image anymore. it is not a dependency of any of the installed required python packages. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 4 ---- 1 file changed, 4 deletions(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 06d1fa73e3eb..1320aed23d53 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -121,10 +121,6 @@ uv pip install --system --no-cache-dir --index-strategy unsafe-best-match \ -c $HOME/requirements_compiled.txt \ "${PIP_PKGS[@]}" -# To avoid the following error on Jenkins: -# AttributeError: 'numpy.ufunc' object has no attribute '__module__' -uv pip uninstall --system dask - # We install cmake temporarily to get psutil sudo apt-get autoremove -y cmake zlib1g-dev From 8175c6e04a0248b5f218be03734028e6c8004160 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Tue, 12 Aug 2025 11:38:41 -0700 Subject: [PATCH 0648/1566] make get_current_servable_instance async (#55457) This PR updates the injected dependency used in FastAPI routes to be asynchronous. Specifically, it modifies the implementation of get_current_servable_instance to be an async def so that FastAPI awaits it instead of offloading it to a threadpool. This change avoids unnecessary threadpool overhead and improves request performance. ### Performance Comparison Table (With fix vs Master) | Metric | With fix | Master | |--------------------------|----------------|----------------| | # Requests | 22,429 | 12,970 | | # Fails | 0 | 0 | | Median (ms) | 250 | 340 | | 95%ile (ms) | 310 | 430 | | 99%ile (ms) | 350 | 480 | | Average (ms) | 248.04 | 338.4 | | Min (ms) | 119 | 156 | | Max (ms) | 392 | 662 | | Average size (bytes) | 15 | 15 | | Current RPS | 400.2 | 295.7 | | Current Failures/s | 0 | 0 | evidence that fastapi dependency injection is using threadpool ### master image ### after fix image ### app used for benchmark ```python app = FastAPI() @serve.deployment(max_ongoing_requests=10000) @serve.ingress(app) class MyDeployment: @app.get("/") async def request(self): return "Hello, world!" app = MyDeployment.bind() ``` run using `serve run app:app` device used: `m6a.2xlarge` Concurrency: `100` Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index ee233d7c354d..2da5b8223964 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -432,7 +432,7 @@ def make_fastapi_class_based_view(fastapi_app, cls: Type) -> None: from fastapi import APIRouter, Depends from fastapi.routing import APIRoute, APIWebSocketRoute - def get_current_servable_instance(): + async def get_current_servable_instance(): from ray import serve return serve.get_replica_context().servable_object From 4627ffe655feae396da936db5bcbceb22c5f6c4d Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 12 Aug 2025 12:10:12 -0700 Subject: [PATCH 0649/1566] [Core] Install uv from test-requirements.txt (#55483) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/tests/test_runtime_env_uv_run.py | 245 +++++++++----------- python/requirements/test-requirements.txt | 1 + python/requirements_compiled.txt | 2 + 3 files changed, 116 insertions(+), 132 deletions(-) diff --git a/python/ray/tests/test_runtime_env_uv_run.py b/python/ray/tests/test_runtime_env_uv_run.py index 138ff87e81bf..1db6424432d3 100644 --- a/python/ray/tests/test_runtime_env_uv_run.py +++ b/python/ray/tests/test_runtime_env_uv_run.py @@ -1,15 +1,12 @@ import json import os from pathlib import Path -import platform -import stat import subprocess import sys -import tarfile import tempfile -from urllib import request import pytest +from uv import find_uv_bin import ray from ray._private.test_utils import ( @@ -18,21 +15,6 @@ ) -@pytest.fixture(scope="function") -def with_uv(): - arch = "aarch64" if platform.machine() in ["aarch64", "arm64"] else "x86_64" - system = "unknown-linux-gnu" if platform.system() == "Linux" else "apple-darwin" - name = f"uv-{arch}-{system}" - url = f"https://github.com/astral-sh/uv/releases/download/0.5.27/{name}.tar.gz" - with tempfile.TemporaryDirectory() as tmp_dir: - with request.urlopen(request.Request(url), timeout=15.0) as response: - with tarfile.open(fileobj=response, mode="r|*") as tar: - tar.extractall(tmp_dir) - uv = Path(tmp_dir) / name / "uv" - uv.chmod(uv.stat().st_mode | stat.S_IEXEC) - yield uv - - PYPROJECT_TOML = """ [project] name = "test" @@ -58,11 +40,9 @@ def tmp_working_dir(): @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") -def test_uv_run_simple(shutdown_only, with_uv): - uv = with_uv - +def test_uv_run_simple(shutdown_only): runtime_env = { - "py_executable": f"{uv} run --with emoji --no-project", + "py_executable": f"{find_uv_bin()} run --with emoji --no-project", } ray.init(runtime_env=runtime_env) @@ -76,15 +56,14 @@ def emojize(): @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") -def test_uv_run_pyproject(shutdown_only, with_uv, tmp_working_dir): - uv = with_uv +def test_uv_run_pyproject(shutdown_only, tmp_working_dir): tmp_dir = tmp_working_dir ray.init( runtime_env={ "working_dir": tmp_dir, # We want to run in the system environment so the current installation of Ray can be found here - "py_executable": f"env PYTHONPATH={':'.join(sys.path)} {uv} run --python-preference=only-system", + "py_executable": f"env PYTHONPATH={':'.join(sys.path)} {find_uv_bin()} run --python-preference=only-system", } ) @@ -98,8 +77,7 @@ def emojize(): @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") -def test_uv_run_editable(shutdown_only, with_uv, tmp_working_dir): - uv = with_uv +def test_uv_run_editable(shutdown_only, tmp_working_dir): tmp_dir = tmp_working_dir subprocess.run( @@ -113,7 +91,7 @@ def test_uv_run_editable(shutdown_only, with_uv, tmp_working_dir): ) subprocess.run( - [uv, "add", "--editable", "./emoji_copy"], + [find_uv_bin(), "add", "--editable", "./emoji_copy"], cwd=tmp_dir, ) @@ -133,7 +111,7 @@ def test_uv_run_editable(shutdown_only, with_uv, tmp_working_dir): runtime_env={ "working_dir": tmp_dir, # We want to run in the system environment so the current installation of Ray can be found here - "py_executable": f"env PYTHONPATH={':'.join(sys.path)} {uv} run --python-preference=only-system", + "py_executable": f"env PYTHONPATH={':'.join(sys.path)} {find_uv_bin()} run --python-preference=only-system", } ) @@ -147,12 +125,10 @@ def emojize(): @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") -def test_uv_run_runtime_env_hook(with_uv): +def test_uv_run_runtime_env_hook(): import ray._private.runtime_env.uv_runtime_env_hook - uv = with_uv - def check_uv_run( cmd, runtime_env, expected_output, subprocess_kwargs=None, expected_error=None ): @@ -171,25 +147,28 @@ def check_uv_run( script = ray._private.runtime_env.uv_runtime_env_hook.__file__ check_uv_run( - cmd=[uv, "run", "--no-project", script], + cmd=[find_uv_bin(), "run", "--no-project", script], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.getcwd(), }, ) check_uv_run( - cmd=[uv, "run", "--no-project", "--directory", "/tmp", script], + cmd=[find_uv_bin(), "run", "--no-project", "--directory", "/tmp", script], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.path.realpath("/tmp"), }, ) check_uv_run( - [uv, "run", "--no-project", script], + [find_uv_bin(), "run", "--no-project", script], {"working_dir": "/some/path"}, - {"py_executable": f"{uv} run --no-project", "working_dir": "/some/path"}, + { + "py_executable": f"{find_uv_bin()} run --no-project", + "working_dir": "/some/path", + }, ) with tempfile.TemporaryDirectory() as tmp_dir: @@ -200,9 +179,12 @@ def check_uv_run( file.write('version = "0.1"\n') file.write('dependencies = ["psutil"]\n') check_uv_run( - cmd=[uv, "run", script], + cmd=[find_uv_bin(), "run", script], runtime_env={}, - expected_output={"py_executable": f"{uv} run", "working_dir": f"{tmp_dir}"}, + expected_output={ + "py_executable": f"{find_uv_bin()} run", + "working_dir": f"{tmp_dir}", + }, subprocess_kwargs={"cwd": tmp_dir}, ) @@ -213,10 +195,10 @@ def check_uv_run( with open(requirements, "w") as file: file.write("psutil\n") check_uv_run( - cmd=[uv, "run", "--with-requirements", requirements, script], + cmd=[find_uv_bin(), "run", "--with-requirements", requirements, script], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --with-requirements {requirements}", + "py_executable": f"{find_uv_bin()} run --with-requirements {requirements}", "working_dir": f"{tmp_dir}", }, subprocess_kwargs={"cwd": tmp_dir}, @@ -232,7 +214,7 @@ def check_uv_run( file.write('version = "0.1"\n') file.write('dependencies = ["psutil"]\n') check_uv_run( - cmd=[uv, "run", script], + cmd=[find_uv_bin(), "run", script], runtime_env={}, expected_output=None, subprocess_kwargs={"cwd": tmp_dir / "cwd"}, @@ -247,7 +229,7 @@ def check_uv_run( file.write("psutil\n") check_uv_run( cmd=[ - uv, + find_uv_bin(), "run", "--with-requirements", tmp_dir / "requirements.txt", @@ -263,7 +245,7 @@ def check_uv_run( # when combined with the 'pip' or 'uv' environment. for runtime_env in [{"uv": ["emoji"]}, {"pip": ["emoji"]}]: check_uv_run( - cmd=[uv, "run", "--no-project", script], + cmd=[find_uv_bin(), "run", "--no-project", script], runtime_env=runtime_env, expected_output=None, expected_error="You are using the 'pip' or 'uv' runtime environments together with 'uv run'.", @@ -275,10 +257,10 @@ def check_uv_run( # Check in the case that there is one more level of subprocess indirection between # the "uv run" process and the process that checks the environment check_uv_run( - cmd=[uv, "run", "--no-project", script], + cmd=[find_uv_bin(), "run", "--no-project", script], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.getcwd(), }, subprocess_kwargs={ @@ -288,10 +270,10 @@ def check_uv_run( # Check in the case that the script is started with multiprocessing spawn check_uv_run( - cmd=[uv, "run", "--no-project", script], + cmd=[find_uv_bin(), "run", "--no-project", script], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.getcwd(), }, subprocess_kwargs={ @@ -302,7 +284,7 @@ def check_uv_run( # Check in the case that a module is used for "uv run" (-m or --module) check_uv_run( cmd=[ - uv, + find_uv_bin(), "run", "--no-project", "-m", @@ -310,7 +292,7 @@ def check_uv_run( ], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.getcwd(), }, ) @@ -319,7 +301,7 @@ def check_uv_run( # an argument immediately behind it check_uv_run( cmd=[ - uv, + find_uv_bin(), "run", "--no-project", "-m", @@ -328,7 +310,7 @@ def check_uv_run( ], runtime_env={}, expected_output={ - "py_executable": f"{uv} run --no-project", + "py_executable": f"{find_uv_bin()} run --no-project", "working_dir": os.getcwd(), }, ) @@ -385,10 +367,9 @@ def test_uv_run_parser(): @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") -def test_uv_run_runtime_env_hook_e2e(shutdown_only, with_uv, temp_dir): +def test_uv_run_runtime_env_hook_e2e(shutdown_only, temp_dir): - uv = with_uv - tmp_out_dir = Path(temp_dir) + tmp_dir = Path(temp_dir) script = f""" import json @@ -400,39 +381,41 @@ def f(): import emoji return {{"working_dir_files": os.listdir(os.getcwd())}} -with open("{tmp_out_dir / "output.txt"}", "w") as out: +with open("{tmp_dir / "output.txt"}", "w") as out: json.dump(ray.get(f.remote()), out) """ - with tempfile.NamedTemporaryFile("w", suffix=".py", delete=False) as f: + working_dir = tmp_dir / "working_dir" + working_dir.mkdir(parents=True, exist_ok=True) + + script_file = working_dir / "script.py" + with open(script_file, "w") as f: f.write(script) f.close() - subprocess.run( - [ - uv, - "run", - # We want to run in the system environment so the current installation of Ray can be found here - "--python-preference=only-system", - "--with", - "emoji", - "--no-project", - f.name, - ], - stdin=subprocess.PIPE, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - env={ - "RAY_RUNTIME_ENV_HOOK": "ray._private.runtime_env.uv_runtime_env_hook.hook", - "PYTHONPATH": ":".join(sys.path), - "PATH": os.environ["PATH"], - }, - cwd=os.path.dirname(uv), - check=True, - ) - with open(tmp_out_dir / "output.txt") as f: - assert json.load(f) == { - "working_dir_files": os.listdir(os.path.dirname(uv)) - } + + subprocess.run( + [ + find_uv_bin(), + "run", + # We want to run in the system environment so the current installation of Ray can be found here + "--python-preference=only-system", + "--with", + "emoji", + "--no-project", + str(script_file), + ], + stdin=subprocess.PIPE, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + env={ + "PYTHONPATH": ":".join(sys.path), + "PATH": os.environ["PATH"], + }, + cwd=working_dir, + check=True, + ) + with open(tmp_dir / "output.txt") as f: + assert json.load(f) == {"working_dir_files": os.listdir(working_dir)} @pytest.mark.skipif(sys.platform == "win32", reason="Not ported to Windows yet.") @@ -440,23 +423,19 @@ def f(): "ray_start_cluster_head_with_env_vars", [ { - "env_vars": { - "RAY_RUNTIME_ENV_HOOK": "ray._private.runtime_env.uv_runtime_env_hook.hook" - }, "include_dashboard": True, } ], indirect=True, ) def test_uv_run_runtime_env_hook_e2e_job( - ray_start_cluster_head_with_env_vars, with_uv, temp_dir + ray_start_cluster_head_with_env_vars, temp_dir ): cluster = ray_start_cluster_head_with_env_vars assert wait_until_server_available(cluster.webui_url) is True webui_url = format_web_url(cluster.webui_url) - uv = with_uv - tmp_out_dir = Path(temp_dir) + tmp_dir = Path(temp_dir) script = f""" import json @@ -468,52 +447,54 @@ def f(): import emoji return {{"working_dir_files": os.listdir(os.getcwd())}} -with open("{tmp_out_dir / "output.txt"}", "w") as out: +with open("{tmp_dir / "output.txt"}", "w") as out: json.dump(ray.get(f.remote()), out) """ - with tempfile.NamedTemporaryFile( - "w", suffix=".py", delete=False - ) as f, tempfile.NamedTemporaryFile("w", delete=False) as requirements: + working_dir = tmp_dir / "working_dir" + working_dir.mkdir(parents=True, exist_ok=True) + + script_file = working_dir / "script.py" + with open(script_file, "w") as f: f.write(script) f.close() - requirements.write("emoji\n") - requirements.close() - # Test job submission - runtime_env_json = ( - '{"env_vars": {"PYTHONPATH": "' - + ":".join(sys.path) - + '"}, "working_dir": "."}' - ) - subprocess.run( - [ - "ray", - "job", - "submit", - "--runtime-env-json", - runtime_env_json, - "--", - uv, - "run", - "--with-requirements", - requirements.name, - "--no-project", - f.name, - ], - stdin=subprocess.PIPE, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - env={ - "PATH": os.environ["PATH"], - "RAY_ADDRESS": webui_url, - }, - cwd=os.path.dirname(uv), - check=True, - ) - with open(tmp_out_dir / "output.txt") as f: - assert json.load(f) == { - "working_dir_files": os.listdir(os.path.dirname(uv)) - } + + requirements_file = working_dir / "requirements.txt" + with open(requirements_file, "w") as f: + f.write("emoji\n") + f.close() + + # Test job submission + runtime_env_json = ( + '{"env_vars": {"PYTHONPATH": "' + ":".join(sys.path) + '"}, "working_dir": "."}' + ) + subprocess.run( + [ + "ray", + "job", + "submit", + "--runtime-env-json", + runtime_env_json, + "--", + find_uv_bin(), + "run", + "--with-requirements", + str(requirements_file), + "--no-project", + str(script_file), + ], + stdin=subprocess.PIPE, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + env={ + "PATH": os.environ["PATH"], + "RAY_ADDRESS": webui_url, + }, + cwd=working_dir, + check=True, + ) + with open(tmp_dir / "output.txt") as f: + assert json.load(f) == {"working_dir_files": os.listdir(working_dir)} if __name__ == "__main__": diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 7932603cab7a..d08dc4ad4215 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -64,6 +64,7 @@ smart_open[s3]==6.2.0 tqdm==4.67.1 trustme==0.9.0 testfixtures==7.0.0 +uv==0.8.9 uvicorn==0.22.0 vsphere-automation-sdk @ git+https://github.com/vmware/vsphere-automation-sdk-python.git@v8.0.1.0 werkzeug==2.3.8 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index b43938ccf1d0..d4cc152a26c0 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -2405,6 +2405,8 @@ urllib3==1.26.19 # sentry-sdk utilsforecast==0.2.0 # via statsforecast +uv==0.8.9 + # via -r python/requirements/test-requirements.txt uvicorn==0.22.0 # via # -r python/requirements.txt From d8da4e088a0866e79939206670232f0d4dd679fb Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 12 Aug 2025 13:01:35 -0700 Subject: [PATCH 0650/1566] [data] Task metric improvements (#55429) image ## Why are these changes needed? - Adds pXX filters to reduce number of panels - Adds Task output backpressure time - Fixes metrics for task completion time - wall time for task completion without backpressure Reference PRs: - https://github.com/iamjustinhsu/ray/pull/1 - https://github.com/ray-project/ray/pull/55025 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../client/src/pages/metrics/Metrics.tsx | 16 +--- .../dashboards/data_dashboard_panels.py | 80 +++---------------- .../interfaces/op_runtime_metrics.py | 24 +++--- python/ray/data/tests/test_stats.py | 21 +++-- 4 files changed, 45 insertions(+), 96 deletions(-) diff --git a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx index ea393c6e9c1a..f446e79e0605 100644 --- a/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx +++ b/python/ray/dashboard/client/src/pages/metrics/Metrics.tsx @@ -325,20 +325,8 @@ const DATA_METRICS_CONFIG: MetricsSectionConfig[] = [ pathParams: "theme=light&panelId=37", }, { - title: "(p50) Task Completion Time", - pathParams: "theme=light&panelId=40", - }, - { - title: "(p75) Task Completion Time", - pathParams: "theme=light&panelId=41", - }, - { - title: "(p99) Task Completion Time", - pathParams: "theme=light&panelId=44", - }, - { - title: "(p100) Task Completion Time", - pathParams: "theme=light&panelId=45", + title: "Task Completion Time", + pathParams: "theme=light&panelId=38", }, ], }, diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 8bedac2db259..a900f57fabdd 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -460,13 +460,13 @@ ), Panel( id=38, - title="(p00) Task Completion Time", - description="Time spent running tasks to completion.", + title="Task Completion Time", + description="Time spent running tasks to completion w/ backpressure.", unit="seconds", targets=[ Target( - expr="histogram_quantile(0, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p00) Completion Time: {{dataset}}, {{operator}}", + expr="increase(ray_data_task_completion_time{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + legend="Task Completion Time: {{dataset}}, {{operator}}", ), ], fill=0, @@ -474,13 +474,13 @@ ), Panel( id=39, - title="(p05) Task Completion Time", - description="Time spent running tasks to completion.", + title="Task Output Backpressure Time", + description="Time spent in output backpressure.", unit="seconds", targets=[ Target( - expr="histogram_quantile(0.05, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p05) Completion Time: {{dataset}}, {{operator}}", + expr="increase(ray_data_task_output_backpressure_time{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + legend="Task Output Backpressure Time: {{dataset}}, {{operator}}", ), ], fill=0, @@ -488,69 +488,13 @@ ), Panel( id=40, - title="(p50) Task Completion Time", - description="Time spent running tasks to completion.", + title="Task Completion Time Without Backpressure", + description="Time spent running tasks to completion w/o backpressure.", unit="seconds", targets=[ Target( - expr="histogram_quantile(0.50, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p50) Completion Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=41, - title="(p75) Task Completion Time", - description="Time spent running tasks to completion.", - unit="seconds", - targets=[ - Target( - expr="histogram_quantile(0.75, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p75) Completion Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=42, - title="(p90) Task Completion Time", - description="Time spent running tasks to completion.", - unit="seconds", - targets=[ - Target( - expr="histogram_quantile(0.9, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p90) Completion Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=44, - title="p(99) Task Completion Time", - description="Time spent running tasks to completion.", - unit="seconds", - targets=[ - Target( - expr="histogram_quantile(0.99, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p99) Completion Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=45, - title="p(100) Task Completion Time", - description="Time spent running tasks to completion.", - unit="seconds", - targets=[ - Target( - expr="histogram_quantile(1, sum by (dataset, operator, le) (rate(ray_data_task_completion_time_bucket{{{global_filters}}}[5m])))", - legend="(p100) Completion Time: {{dataset}}, {{operator}}", + expr="increase(ray_data_task_completion_time_without_backpressure{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + legend="Task Completion Time w/o Backpressure: {{dataset}}, {{operator}}", ), ], fill=0, diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index b3b6bfb3445f..47436d5f329b 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -130,6 +130,7 @@ class RunningTaskInfo: bytes_outputs: int num_rows_produced: int start_time: float + cum_block_gen_time: float @dataclass @@ -396,13 +397,15 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): 2500.0, 5000.0, ] - - mean_task_completion_time: float = metric_field( + task_completion_time: float = metric_field( default=0, description="Time spent running tasks to completion.", metrics_group=MetricsGroup.TASKS, - metrics_type=MetricsType.Histogram, - metrics_args={"boundaries": histogram_buckets_s}, + ) + task_completion_time_without_backpressure: float = metric_field( + default=0, + description="Time spent running tasks to completion without backpressure.", + metrics_group=MetricsGroup.TASKS, ) # === Actor-related metrics === @@ -731,9 +734,8 @@ def on_toggle_task_output_backpressure(self, in_backpressure): self._task_output_backpressure_start_time = time.perf_counter() elif self._task_output_backpressure_start_time != -1: # backpressure stopping, stop timer - self.task_output_backpressure_time += ( - time.perf_counter() - self._task_output_backpressure_start_time - ) + delta = time.perf_counter() - self._task_output_backpressure_start_time + self.task_output_backpressure_time += delta self._task_output_backpressure_start_time = -1 def on_output_taken(self, output: RefBundle): @@ -756,6 +758,7 @@ def on_task_submitted(self, task_index: int, inputs: RefBundle): bytes_outputs=0, num_rows_produced=0, start_time=time.perf_counter(), + cum_block_gen_time=0, ) def on_task_output_generated(self, task_index: int, output: RefBundle): @@ -781,6 +784,7 @@ def on_task_output_generated(self, task_index: int, output: RefBundle): meta.exec_stats is not None and meta.exec_stats.wall_time_s is not None ) self.block_generation_time += meta.exec_stats.wall_time_s + task_info.cum_block_gen_time += meta.exec_stats.wall_time_s assert meta.num_rows is not None trace_allocation(block_ref, "operator_output") if meta.exec_stats.max_uss_bytes is not None: @@ -812,8 +816,10 @@ def on_task_finished(self, task_index: int, exception: Optional[Exception]): self.rows_outputs_of_finished_tasks += task_info.num_rows_produced task_time_delta = time.perf_counter() - task_info.start_time - self._op_task_duration_stats.add_duration(task_time_delta) - self.mean_task_completion_time = self._op_task_duration_stats.mean() + self.task_completion_time += task_time_delta + + assert task_info.cum_block_gen_time is not None + self.task_completion_time_without_backpressure += task_info.cum_block_gen_time inputs = self._running_tasks[task_index].inputs self.num_task_inputs_processed += len(inputs) total_input_size = inputs.size_bytes() diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 25deb5b1c0a5..0c93e23bcbd0 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -115,7 +115,11 @@ def gen_expected_metrics( "'task_output_backpressure_time': " f"{'N' if task_output_backpressure else 'Z'}" ), - ("'mean_task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ( + "'task_completion_time_without_backpressure': " + f"{'N' if task_backpressure else 'Z'}" + ), "'num_alive_actors': Z", "'num_restarting_actors': Z", "'num_pending_actors': Z", @@ -172,7 +176,11 @@ def gen_expected_metrics( "'task_output_backpressure_time': " f"{'N' if task_output_backpressure else 'Z'}" ), - ("'mean_task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ("'task_completion_time': " f"{'N' if task_backpressure else 'Z'}"), + ( + "'task_completion_time_without_backpressure': " + f"{'N' if task_backpressure else 'Z'}" + ), "'num_alive_actors': Z", "'num_restarting_actors': Z", "'num_pending_actors': Z", @@ -677,7 +685,8 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " mean_task_completion_time: N,\n" + " task_completion_time: N,\n" + " task_completion_time_without_backpressure: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" @@ -806,7 +815,8 @@ def check_stats(): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " mean_task_completion_time: N,\n" + " task_completion_time: N,\n" + " task_completion_time_without_backpressure: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" @@ -890,7 +900,8 @@ def check_stats(): " block_generation_time: N,\n" " task_submission_backpressure_time: N,\n" " task_output_backpressure_time: Z,\n" - " mean_task_completion_time: N,\n" + " task_completion_time: N,\n" + " task_completion_time_without_backpressure: N,\n" " num_alive_actors: Z,\n" " num_restarting_actors: Z,\n" " num_pending_actors: Z,\n" From 6ca20d87c1cf26520a21a6548d8e7d2c7d37b220 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 12 Aug 2025 14:07:54 -0700 Subject: [PATCH 0651/1566] [data] make shuffle pb total more accurate (#55543) ## Why are these changes needed? https://github.com/user-attachments/assets/402efd79-cda2-467e-b84a-774ccd69efa5 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../data/_internal/execution/operators/hash_shuffle.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 50cb0136228e..2ef8453b2fe3 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -634,7 +634,13 @@ def _on_partitioning_done(cur_shuffle_task_idx: int): ) # Update Shuffle progress bar - self.shuffle_bar.update(total=self.shuffle_metrics.num_row_inputs_received) + _, _, num_rows = estimate_total_num_of_blocks( + cur_shuffle_task_idx + 1, + self.upstream_op_num_outputs(), + self.shuffle_metrics, + total_num_tasks=None, + ) + self.shuffle_bar.update(total=num_rows) def has_next(self) -> bool: self._try_finalize() From 337f89a48507fd7ac49678845be5e890bf7a508d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 12 Aug 2025 14:28:21 -0700 Subject: [PATCH 0652/1566] [ci] base image: move cpu base up (#55536) cpu bases above cuda bases. simpler case should be listed first. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 662f7824178a..5af4f0a67b08 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -6,6 +6,20 @@ steps: - name: manylinux wanda: ci/docker/manylinux.wanda.yaml + - name: raycpubase + label: "wanda: ray.py{{matrix}}.cpu.base" + tags: + - python_dependencies + - docker + wanda: ci/docker/ray.cpu.base.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + - name: raycudabase label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base" tags: @@ -32,20 +46,6 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" - - name: raycpubase - label: "wanda: ray.py{{matrix}}.cpu.base" - tags: - - python_dependencies - - docker - wanda: ci/docker/ray.cpu.base.wanda.yaml - matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - env: - PYTHON_VERSION: "{{matrix}}" - - name: ray-llmbase label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base" tags: From 3be6c4d54f8372564ec3209f3f254e8605cb1b58 Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Tue, 12 Aug 2025 15:08:58 -0700 Subject: [PATCH 0653/1566] Add Operator as filter to data grafana dashboard (#55493) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Filtering by Operator will be useful to see only a single operator at a time Screenshot 2025-08-11 at 3 32 32 PM ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 90 +++++++++---------- .../data_grafana_dashboard_base.json | 35 ++++++++ 2 files changed, 80 insertions(+), 45 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index a900f57fabdd..b763d30ca950 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -33,7 +33,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_spilled_bytes{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_spilled_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Spilled: {{dataset}}, {{operator}}", ) ], @@ -47,7 +47,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_freed_bytes{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_freed_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Freed: {{dataset}}, {{operator}}", ) ], @@ -61,7 +61,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_current_bytes{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_current_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Current Usage: {{dataset}}, {{operator}}", ) ], @@ -75,7 +75,7 @@ unit="cores", targets=[ Target( - expr="sum(ray_data_cpu_usage_cores{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_cpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="CPU Usage: {{dataset}}, {{operator}}", ) ], @@ -89,7 +89,7 @@ unit="cores", targets=[ Target( - expr="sum(ray_data_gpu_usage_cores{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_gpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="GPU Usage: {{dataset}}, {{operator}}", ) ], @@ -103,7 +103,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_output_bytes{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_output_bytes{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Output / Second: {{dataset}}, {{operator}}", ) ], @@ -117,7 +117,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_max_bytes_to_read{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_max_bytes_to_read{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Max Bytes to Read: {{dataset}}, {{operator}}", ) ], @@ -126,12 +126,12 @@ ), Panel( id=11, - title="Rows Output / Second", + title="Throughput (Rows Output / Second)", description="Total rows output per second by dataset operators.", unit="rows/sec", targets=[ Target( - expr="sum(rate(ray_data_output_rows{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_output_rows{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Rows Output / Second: {{dataset}}, {{operator}}", ) ], @@ -146,7 +146,7 @@ unit="blocks/sec", targets=[ Target( - expr="sum(rate(ray_data_num_inputs_received{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_num_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Received / Second: {{dataset}}, {{operator}}", ) ], @@ -160,7 +160,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_bytes_inputs_received{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_bytes_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Received / Second: {{dataset}}, {{operator}}", ) ], @@ -176,7 +176,7 @@ unit="blocks/sec", targets=[ Target( - expr="sum(rate(ray_data_num_task_inputs_processed{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_num_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Processed / Second: {{dataset}}, {{operator}}", ) ], @@ -192,7 +192,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Processed / Second: {{dataset}}, {{operator}}", ) ], @@ -206,7 +206,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Submitted / Second: {{dataset}}, {{operator}}", ) ], @@ -220,7 +220,7 @@ unit="blocks/sec", targets=[ Target( - expr="sum(rate(ray_data_num_task_outputs_generated{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -234,7 +234,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -248,7 +248,7 @@ unit="bytes", targets=[ Target( - expr="increase(ray_data_bytes_task_outputs_generated{{{global_filters}}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters}}}[5m])", + expr='increase(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Average Bytes Generated / Output Block: {{dataset}}, {{operator}}", ) ], @@ -262,7 +262,7 @@ unit="blocks", targets=[ Target( - expr="increase(ray_data_num_task_outputs_generated{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + expr='increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Average Number of Output Blocks / Task: {{dataset}}, {{operator}}", ) ], @@ -276,7 +276,7 @@ unit="rows/sec", targets=[ Target( - expr="sum(rate(ray_data_rows_task_outputs_generated{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_rows_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Rows Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -290,7 +290,7 @@ unit="blocks/sec", targets=[ Target( - expr="sum(rate(ray_data_num_outputs_taken{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_num_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Taken / Second: {{dataset}}, {{operator}}", ) ], @@ -306,7 +306,7 @@ unit="Bps", targets=[ Target( - expr="sum(rate(ray_data_bytes_outputs_taken{{{global_filters}}}[1m])) by (dataset, operator)", + expr='sum(rate(ray_data_bytes_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Taken / Second: {{dataset}}, {{operator}}", ) ], @@ -353,7 +353,7 @@ unit="tasks", targets=[ Target( - expr="sum(ray_data_num_tasks_submitted{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_tasks_submitted{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Submitted Tasks: {{dataset}}, {{operator}}", ) ], @@ -367,7 +367,7 @@ unit="tasks", targets=[ Target( - expr="sum(ray_data_num_tasks_running{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_tasks_running{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Running Tasks: {{dataset}}, {{operator}}", ) ], @@ -381,7 +381,7 @@ unit="tasks", targets=[ Target( - expr="sum(ray_data_num_tasks_have_outputs{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_tasks_have_outputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Tasks with output blocks: {{dataset}}, {{operator}}", ) ], @@ -395,7 +395,7 @@ unit="tasks", targets=[ Target( - expr="sum(ray_data_num_tasks_finished{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Finished Tasks: {{dataset}}, {{operator}}", ) ], @@ -423,7 +423,7 @@ unit="tasks", targets=[ Target( - expr="sum(ray_data_num_tasks_failed{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_tasks_failed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Failed Tasks: {{dataset}}, {{operator}}", ) ], @@ -437,7 +437,7 @@ unit="seconds", targets=[ Target( - expr="sum(ray_data_block_generation_time{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_block_generation_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Block Generation Time: {{dataset}}, {{operator}}", ) ], @@ -451,7 +451,7 @@ unit="seconds", targets=[ Target( - expr="sum(ray_data_task_submission_backpressure_time{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_task_submission_backpressure_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Backpressure Time: {{dataset}}, {{operator}}", ) ], @@ -465,7 +465,7 @@ unit="seconds", targets=[ Target( - expr="increase(ray_data_task_completion_time{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + expr='increase(ray_data_task_completion_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Completion Time: {{dataset}}, {{operator}}", ), ], @@ -479,7 +479,7 @@ unit="seconds", targets=[ Target( - expr="increase(ray_data_task_output_backpressure_time{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + expr='increase(ray_data_task_output_backpressure_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Output Backpressure Time: {{dataset}}, {{operator}}", ), ], @@ -493,7 +493,7 @@ unit="seconds", targets=[ Target( - expr="increase(ray_data_task_completion_time_without_backpressure{{{global_filters}}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}}}[5m])", + expr='increase(ray_data_task_completion_time_without_backpressure{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Completion Time w/o Backpressure: {{dataset}}, {{operator}}", ), ], @@ -508,7 +508,7 @@ unit="blocks", targets=[ Target( - expr="sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -522,7 +522,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -536,7 +536,7 @@ unit="blocks", targets=[ Target( - expr="sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -552,7 +552,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -566,7 +566,7 @@ unit="blocks", targets=[ Target( - expr="sum(ray_data_num_output_queue_blocks{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_output_queue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -580,7 +580,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_num_output_queue_bytes{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_num_output_queue_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Bytes: {{dataset}}, {{operator}}", ) ], @@ -594,7 +594,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -608,7 +608,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_obj_store_mem_freed{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_freed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -622,7 +622,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_obj_store_mem_spilled{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_obj_store_mem_spilled{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -638,7 +638,7 @@ targets=[ Target( expr="sum(ray_data_iter_initialize_seconds{{{global_filters}}}) by (dataset)", - legend="Seconds: {{dataset}}, {{operator}}", + legend="Seconds: {{dataset}}", ) ], fill=0, @@ -694,7 +694,7 @@ unit="cpu", targets=[ Target( - expr="sum(ray_data_cpu_budget{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_cpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (CPU): {{dataset}}, {{operator}}", ) ], @@ -708,7 +708,7 @@ unit="gpu", targets=[ Target( - expr="sum(ray_data_gpu_budget{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_gpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (GPU): {{dataset}}, {{operator}}", ) ], @@ -722,7 +722,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_memory_budget{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (Memory): {{dataset}}, {{operator}}", ) ], @@ -736,7 +736,7 @@ unit="bytes", targets=[ Target( - expr="sum(ray_data_object_store_memory_budget{{{global_filters}}}) by (dataset, operator)", + expr='sum(ray_data_object_store_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (Object Store Memory): {{dataset}}, {{operator}}", ) ], diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/data_grafana_dashboard_base.json index dea96d4513b2..23606bb9120f 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/data_grafana_dashboard_base.json @@ -104,6 +104,41 @@ "type": "query", "useTags": false }, + { + "allValue": ".+", + "current": { + "selected": true, + "text": [ + "All" + ], + "value": [ + "$__all" + ] + }, + "datasource": "${datasource}", + "definition": "query_result(count by (operator)(last_over_time(ray_data_output_bytes{{SessionName=~\"$SessionName\",{global_filters}}}[$__range])))", + "description": null, + "error": null, + "hide": 0, + "includeAll": true, + "label": null, + "multi": true, + "name": "Operator", + "options": [], + "query": { + "query": "query_result(count by (operator)(last_over_time(ray_data_output_bytes{{SessionName=~\"$SessionName\",{global_filters}}}[$__range])))", + "refId": "Prometheus-Dataset-Variable-Query" + }, + "refresh": 2, + "regex": "{operator=\"(?.*)\".*", + "skipUrlSync": false, + "sort": 0, + "tagValuesQuery": "", + "tags": [], + "tagsQuery": "", + "type": "query", + "useTags": false + }, { "current": { "selected": false From f985119fac2c5dac81592a0c4e1663988f5ff6e8 Mon Sep 17 00:00:00 2001 From: Howie Tien Date: Wed, 13 Aug 2025 06:30:12 +0800 Subject: [PATCH 0654/1566] [Data] decrease parquet metadata storage usage (#54821) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? When working with search and recommendation systems, datasets often contain numerous columns, resulting in large metadata overhead in Parquet files (sometimes a few MBs or more for each file). Currently, the driver fetches first all metadata, then simplifies and merges them to reduce memory usage. However, this process can cause memory peaks proportional to the number of fragments multiplied by their metadata size, potentially leading to OOM issues. This PR addresses the problem by **simplifying** and **merging** the dataset metadata within each `_fetch_metadata` task before sending it back to the driver. This change helps lower memory consumption and reduces the risk of OOM errors. Test script: ``` from pyarrow._fs import FileSystem from ray.data.datasource.file_meta_provider import _get_file_infos import os import ray import psutil hdfs_path = "hdfs://path/to/dataset" def list_files(remote_path): filesystem, remote_path = FileSystem.from_uri(remote_path) from ray.data.datasource.file_meta_provider import _get_file_infos files = _get_file_infos(remote_path, filesystem) return filesystem, files filesystem, files = list_files(hdfs_path) files = [f"{fs[0]}" for fs in files if fs[0].endswith(".parquet")] process = psutil.Process() print(f"total file_num: {len(files)}") start_mem = process.memory_info().rss / 1024**2 dataset = ray.data.read_parquet(paths=files[:500], filesystem=filesystem) end_mem = process.memory_info().rss / 1024**2 print(f"datasize: {dataset.count()}, col number: {len(dataset.columns())}") print(f"mem diff {end_mem - start_mem:.3f}MiB [start: {start_mem:.3f}MiB, end: {end_mem:.3f}MiB]") ``` Output before this PR: ``` total file_num: 2358 Metadata Fetch Progress 0: 100%|███████████████████████|500/500 [02:13<00:00, 3.75 task/s] Parquet Files Sample 0: 100%|███████████████████████| 5.00/5.00 [00:13<00:00, 2.62s/ file] datasize: 22630452, col number: 1200 mem diff 13727.605MiB [start: 570.617MiB, end: 14298.223MiB] ``` Output after this PR: ``` total file_num: 2358 Metadata Fetch Progress 0: 100%|███████████████████████| 500/500 [01:55<00:00, 4.35 task/s] Parquet Files Sample 0: 100%|███████████████████████| 5.00/5.00 [00:03<00:00, 1.56 file/s] datasize: 22630452, col number: 1200 mem diff 69.113MiB [start: 575.820MiB, end: 644.934MiB] ``` We can see the memory usage reduce from 13GBs to 69MBs. Note: This approach is most effective for large-scale datasets. If `len(fragments) < PARALLELIZE_META_FETCH_THRESHOLD`, there will be no performance improvements. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: haotian Signed-off-by: Howie Tien Signed-off-by: Balaji Veeramani Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../data/datasource/parquet_meta_provider.py | 78 ++++++++++++------- 1 file changed, 49 insertions(+), 29 deletions(-) diff --git a/python/ray/data/datasource/parquet_meta_provider.py b/python/ray/data/datasource/parquet_meta_provider.py index c8484574da18..73a3c41ef6e2 100644 --- a/python/ray/data/datasource/parquet_meta_provider.py +++ b/python/ray/data/datasource/parquet_meta_provider.py @@ -41,10 +41,10 @@ def __init__(self, fragment_metadata: "pyarrow.parquet.FileMetaData"): self.num_row_groups = fragment_metadata.num_row_groups self.num_rows = fragment_metadata.num_rows self.serialized_size = fragment_metadata.serialized_size - # This is a pickled schema object, to be set later with - # `self.set_schema_pickled()`. To get the underlying schema, use - # `cloudpickle.loads(self.schema_pickled)`. - self.schema_pickled = None + + # Serialize the schema directly in the constructor + schema_ser = cloudpickle.dumps(fragment_metadata.schema.to_arrow_schema()) + self.schema_pickled = schema_ser # Calculate the total byte size of the file fragment using the original # object, as it is not possible to access row groups from this class. @@ -150,10 +150,16 @@ def fetch_func(fragments): **ray_remote_args, ) ) + + return _dedupe_schemas(raw_metadata) + else: + # We don't deduplicate schemas in this branch because they're already + # deduplicated in `_fetch_metadata`. See + # https://github.com/ray-project/ray/pull/54821/files#r2265140929 for + # related discussion. raw_metadata = _fetch_metadata(fragments) - - return _dedupe_metadata(raw_metadata) + return raw_metadata def _fetch_metadata_serialization_wrapper( @@ -161,7 +167,7 @@ def _fetch_metadata_serialization_wrapper( retry_match: Optional[List[str]], retry_max_attempts: int, retry_max_interval: int, -) -> List["pyarrow.parquet.FileMetaData"]: +) -> List["_ParquetFileFragmentMetaData"]: from ray.data._internal.datasource.parquet_datasource import ( _deserialize_fragments_with_retry, ) @@ -209,39 +215,53 @@ def _fetch_metadata_serialization_wrapper( def _fetch_metadata( fragments: List["pyarrow.dataset.ParquetFileFragment"], -) -> List["pyarrow.parquet.FileMetaData"]: - fragment_metadata = [] +) -> List[_ParquetFileFragmentMetaData]: + fragment_metadatas = [] for f in fragments: try: - fragment_metadata.append(f.metadata) + # Convert directly to _ParquetFileFragmentMetaData + fragment_metadatas.append(_ParquetFileFragmentMetaData(f.metadata)) except AttributeError: break - return fragment_metadata + # Deduplicate schemas to reduce memory usage + return _dedupe_schemas(fragment_metadatas) -def _dedupe_metadata( - raw_metadatas: List["pyarrow.parquet.FileMetaData"], +def _dedupe_schemas( + metadatas: List[_ParquetFileFragmentMetaData], ) -> List[_ParquetFileFragmentMetaData]: - """For datasets with a large number of columns, the FileMetaData - (in particular the schema) can be very large. We can reduce the - memory usage by only keeping unique schema objects across all - file fragments. This method deduplicates the schemas and returns - a list of `_ParquetFileFragmentMetaData` objects.""" - schema_to_id = {} # schema_id -> serialized_schema - id_to_schema = {} # serialized_schema -> schema_id - stripped_metadatas = [] - for fragment_metadata in raw_metadatas: - stripped_md = _ParquetFileFragmentMetaData(fragment_metadata) + """Deduplicates schema objects across existing _ParquetFileFragmentMetaData objects. + + For datasets with a large number of columns, the pickled schema can be very large. + This function reduces memory usage by ensuring that identical schemas across multiple + fragment metadata objects reference the same underlying pickled schema object, + rather than each fragment maintaining its own copy. + + Args: + metadatas: List of _ParquetFileFragmentMetaData objects that already have + pickled schemas set. + + Returns: + The same list of _ParquetFileFragmentMetaData objects, but with duplicate + schemas deduplicated to reference the same object in memory. + """ + schema_to_id = {} # schema_ser -> schema_id + id_to_schema = {} # schema_id -> schema_ser + + for metadata in metadatas: + # Get the current schema serialization + schema_ser = metadata.schema_pickled - schema_ser = cloudpickle.dumps(fragment_metadata.schema.to_arrow_schema()) if schema_ser not in schema_to_id: + # This is a new unique schema schema_id = len(schema_to_id) schema_to_id[schema_ser] = schema_id id_to_schema[schema_id] = schema_ser - stripped_md.set_schema_pickled(schema_ser) + # No need to set schema_pickled - it already has the correct value else: - schema_id = schema_to_id.get(schema_ser) + # This schema already exists, reuse the existing one + schema_id = schema_to_id[schema_ser] existing_schema_ser = id_to_schema[schema_id] - stripped_md.set_schema_pickled(existing_schema_ser) - stripped_metadatas.append(stripped_md) - return stripped_metadatas + metadata.set_schema_pickled(existing_schema_ser) + + return metadatas From 134ad099f0e76b799b4fb2324e5b658d26aac6f1 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Tue, 12 Aug 2025 16:18:00 -0700 Subject: [PATCH 0655/1566] [serve] Add concurrencies option to serve microbenchmarks (#55522) ## Why are these changes needed? Perf can differ at various concurrencies. This makes it easy to configure / run at various concurrencies + max_ongoing_request combinations ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../serve_tests/workloads/microbenchmarks.py | 41 ++++++++++++++----- 1 file changed, 31 insertions(+), 10 deletions(-) diff --git a/release/serve_tests/workloads/microbenchmarks.py b/release/serve_tests/workloads/microbenchmarks.py index 6ccde24344b9..4cf10ab9e615 100644 --- a/release/serve_tests/workloads/microbenchmarks.py +++ b/release/serve_tests/workloads/microbenchmarks.py @@ -133,6 +133,7 @@ async def _main( run_throughput: bool, run_streaming: bool, throughput_max_ongoing_requests: List[int], + concurrencies: List[int], ): perf_metrics = [] payload_1mb = generate_payload(1000000) @@ -157,14 +158,16 @@ async def _main( if run_throughput: # Microbenchmark: HTTP throughput - for max_ongoing_requests in throughput_max_ongoing_requests: + for max_ongoing_requests, concurrency in zip( + throughput_max_ongoing_requests, concurrencies + ): serve.run( Noop.options(max_ongoing_requests=max_ongoing_requests).bind() ) url = get_application_url(use_localhost=True) mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_http_batch, batch_size=BATCH_SIZE, url=url), - multiplier=BATCH_SIZE, + fn=partial(do_single_http_batch, batch_size=concurrency, url=url), + multiplier=concurrency, num_trials=NUM_TRIALS, trial_runtime=TRIAL_RUNTIME_S, ) @@ -279,7 +282,9 @@ async def _main( if run_throughput: # Microbenchmark: GRPC throughput - for max_ongoing_requests in throughput_max_ongoing_requests: + for max_ongoing_requests, concurrency in zip( + throughput_max_ongoing_requests, concurrencies + ): serve.start(grpc_options=serve_grpc_options) serve.run( GrpcDeployment.options( @@ -291,9 +296,9 @@ async def _main( ) mean, std, _ = await run_throughput_benchmark( fn=partial( - do_single_grpc_batch, batch_size=BATCH_SIZE, target=target + do_single_grpc_batch, batch_size=concurrency, target=target ), - multiplier=BATCH_SIZE, + multiplier=concurrency, num_trials=NUM_TRIALS, trial_runtime=TRIAL_RUNTIME_S, ) @@ -320,14 +325,16 @@ async def _main( if run_throughput: # Microbenchmark: Handle throughput - for max_ongoing_requests in throughput_max_ongoing_requests: + for max_ongoing_requests, concurrency in zip( + throughput_max_ongoing_requests, concurrencies + ): h: DeploymentHandle = serve.run( Benchmarker.options(max_ongoing_requests=max_ongoing_requests).bind( Noop.options(max_ongoing_requests=max_ongoing_requests).bind() ) ) mean, std, _ = await h.run_throughput_benchmark.remote( - batch_size=BATCH_SIZE, + batch_size=concurrency, num_trials=NUM_TRIALS, trial_runtime=TRIAL_RUNTIME_S, ) @@ -383,8 +390,16 @@ async def _main( "-t", multiple=True, type=int, - default=[5, 100], - help="Max ongoing requests for throughput benchmarks. Default: [5, 100]", + default=[5, 100, 800], + help="Max ongoing requests for throughput benchmarks. Must be in the same order as --concurrencies. Default: [5, 100, 800]", +) +@click.option( + "--concurrencies", + "-c", + multiple=True, + type=int, + default=[100, 100, 800], + help="User concurrency for throughput benchmarks. Must be in the same order as --throughput-max-ongoing-requests. Default: [100, 100, 800]", ) def main( output_path: Optional[str], @@ -396,7 +411,12 @@ def main( run_throughput: bool, run_streaming: bool, throughput_max_ongoing_requests: List[int], + concurrencies: List[int], ): + assert len(throughput_max_ongoing_requests) == len( + concurrencies + ), "Must have the same number of --throughput-max-ongoing-requests and --concurrencies" + # If none of the flags are set, default to run all if not ( run_http @@ -426,6 +446,7 @@ def main( run_throughput, run_streaming, throughput_max_ongoing_requests, + concurrencies, ) ) From 9bd22239327a0c439a55b63617f33316886b4982 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Tue, 12 Aug 2025 16:24:16 -0700 Subject: [PATCH 0656/1566] [serve.llm] Serialize ChatCompletionRequest tool_calls ValidatorIterator object (#55538) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../serve/deployments/routers/router.py | 30 ++++++++++++ .../cpu/deployments/routers/test_router.py | 48 +++++++++++++++++++ 2 files changed, 78 insertions(+) diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index ac79d7e22a8c..0d22410c6ef8 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -77,6 +77,31 @@ logger = get_logger(__name__) T = TypeVar("T") + + +def _sanitize_chat_completion_request( + request: ChatCompletionRequest, +) -> ChatCompletionRequest: + """Sanitize ChatCompletionRequest to fix Pydantic ValidatorIterator serialization issue. + + This addresses a known Pydantic bug where tool_calls fields become ValidatorIterator + objects that cannot be pickled for Ray remote calls. + + References: + - vLLM PR that introduces the workaround: https://github.com/vllm-project/vllm/pull/9951 + - Pydantic Issue: https://github.com/pydantic/pydantic/issues/9467 + - Related Issue: https://github.com/pydantic/pydantic/issues/9541 + - Official Workaround: https://github.com/pydantic/pydantic/issues/9467#issuecomment-2442097291 + + TODO(seiji): Remove when we update to Pydantic v2.11+ with the fix. + """ + from vllm.transformers_utils.tokenizers.mistral import maybe_serialize_tool_calls + + maybe_serialize_tool_calls(request) + + return request + + StreamResponseType = Union[ ChatCompletionStreamResponse, CompletionStreamResponse, @@ -302,6 +327,11 @@ async def _get_response( model_handle = self._get_configured_serve_handle(model) + # TODO(seiji): Remove when we update to Pydantic v2.11+ with the fix + # for tool calling ValidatorIterator serialization issue. + if isinstance(body, ChatCompletionRequest): + body = _sanitize_chat_completion_request(body) + async for response in getattr(model_handle, call_method).remote(body): yield response diff --git a/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py b/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py index 4204231fd069..032e1e655c00 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py +++ b/python/ray/llm/tests/serve/cpu/deployments/routers/test_router.py @@ -115,6 +115,54 @@ async def test_completion(self, stream_batching_interval_ms, client, stream): expected_text = " ".join([f"test_{i}" for i in range(n_tokens)]) assert text.strip() == expected_text + @pytest.mark.asyncio + @pytest.mark.parametrize("stream", [True, False]) + async def test_tool_call(self, client, stream): + response = client.chat.completions.create( + model="llm_model_id", + messages=[ + { + "role": "user", + "content": "Can you tell me what the temperate will be in Dallas, in fahrenheit?", + }, + { + "content": None, + "role": "assistant", + "tool_calls": [ + { + "id": "RBS92VTjJ", + "function": { + "arguments": '{"city": "Dallas", "state": "TX", "unit": "fahrenheit"}', + "name": "get_current_weather", + }, + "type": "function", + } + ], + }, + { + "role": "tool", + "content": "The weather in Dallas, TX is 85 degrees fahrenheit. It is partly cloudly, with highs in the 90's.", + "tool_call_id": "n3OMUpydP", + }, + ], + stream=stream, + max_tokens=200, + ) + + if stream: + text = "" + role = None + for chunk in response: + if chunk.choices[0].delta.role is not None and role is None: + role = chunk.choices[0].delta.role + if chunk.choices[0].delta.content: + text += chunk.choices[0].delta.content + else: + text = response.choices[0].message.content + role = response.choices[0].message.role + + assert text + def test_router_with_num_router_replicas_config(self): """Test the router with num_router_replicas config.""" # Test with no num_router_replicas config. From b5de109f81b78c3a2262524d96c10e8ca931e7cc Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 12 Aug 2025 16:55:07 -0700 Subject: [PATCH 0657/1566] [data] make hash shuffling resource usage calculation faster (#55503) ## Why are these changes needed? Currently, we use sum(shuffle_task.cpu_usage for all shuffling tasks). This can be very slow for large number of shuffling tasks. We can mitigate this by calculating the usage on every task submission ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../execution/operators/hash_shuffle.py | 36 ++++++++++++------- 1 file changed, 23 insertions(+), 13 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 2ef8453b2fe3..400bd9e04573 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -469,6 +469,11 @@ def __init__( data_context=data_context, ) + # We track the running usage total because iterating + # and summing over all shuffling tasks can be expensive + # if the # of shuffling tasks is large + self._shuffling_resource_usage = ExecutionResources.zero() + self._input_block_transformer = input_block_transformer self._next_shuffle_tasks_idx: int = 0 @@ -585,6 +590,11 @@ def _do_add_input_inner(self, input_bundle: RefBundle, input_index: int): def _on_partitioning_done(cur_shuffle_task_idx: int): task = self._shuffling_tasks[input_index].pop(cur_shuffle_task_idx) + self._shuffling_resource_usage = ( + self._shuffling_resource_usage.subtract( + task.get_requested_resource_bundle() + ) + ) # Fetch input block and resulting partition shards block metadata and # handle obtained metadata # @@ -614,16 +624,22 @@ def _on_partitioning_done(cur_shuffle_task_idx: int): self.shuffle_bar.update(i=input_block_metadata.num_rows) # TODO update metrics - self._shuffling_tasks[input_index][cur_shuffle_task_idx] = MetadataOpTask( + task = self._shuffling_tasks[input_index][ + cur_shuffle_task_idx + ] = MetadataOpTask( task_index=cur_shuffle_task_idx, object_ref=input_block_partition_shards_metadata_tuple_ref, task_done_callback=functools.partial( _on_partitioning_done, cur_shuffle_task_idx ), - task_resource_bundle=( - ExecutionResources.from_resource_dict(shuffle_task_resource_bundle) + task_resource_bundle=ExecutionResources.from_resource_dict( + shuffle_task_resource_bundle ), ) + if task.get_requested_resource_bundle() is not None: + self._shuffling_resource_usage = self._shuffling_resource_usage.add( + task.get_requested_resource_bundle() + ) # Update Shuffle Metrics on task submission self.shuffle_metrics.on_task_submitted( @@ -856,19 +872,13 @@ def current_processor_usage(self) -> ExecutionResources: # `base_resource_usage` method) # - Active shuffling tasks # - Active finalizing tasks (actor tasks) - base_usage = self.base_resource_usage() - - shuffling_tasks = self._get_active_shuffling_tasks() - shuffling_tasks_cpus_used = sum( - [t.get_requested_resource_bundle().cpu for t in shuffling_tasks] - ) + base_usage = self.base_resource_usage + running_usage = self._shuffling_resource_usage # TODO add memory to resources being tracked - return ExecutionResources( - cpu=base_usage.cpu + shuffling_tasks_cpus_used, - gpu=0, - ) + return base_usage.add(running_usage) + @property def base_resource_usage(self) -> ExecutionResources: # TODO add memory to resources being tracked return ExecutionResources( From 8844b9b430a2a0a14d6238192e48b7953873e1a2 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 12 Aug 2025 21:17:48 -0400 Subject: [PATCH 0658/1566] [ci] Shorten bazel directory paths to avoid failures on Windows (#55525) - Shortening bazel workspace name: `s/com_github_ray_project_ray/io_ray` - Set `--output_base=c:/bzl` instead of `--output_user_root=c:/raytmp`, which saves ~20 characters in the path. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- WORKSPACE | 2 +- bazel/gen_extract.py | 2 +- bazel/jemalloc.BUILD | 2 +- bazel/ray_deps_build_all.bzl | 2 +- bazel/ray_deps_setup.bzl | 40 +++++++++---------- ci/pipeline/test_conditional_testing.py | 2 +- ci/ray_ci/windows/build_ray.sh | 3 +- ci/raydepsets/testing_utils.py | 2 +- ci/raydepsets/tests/test_cli.py | 2 +- ci/raydepsets/tests/utils.py | 2 +- doc/external/test_hashes.py | 2 +- java/BUILD.bazel | 8 ++-- python/ray/serve/tests/unit/test_config.py | 4 +- python/ray/tests/test_traceback.py | 4 +- release/ray_release/bazel.py | 2 +- .../task_execution/test/BUILD.bazel | 3 +- .../task_submission/test/BUILD.bazel | 10 ++--- thirdparty/patches/grpc-zlib-fdopen.patch | 4 +- .../patches/prometheus-zlib-fdopen.patch | 4 +- 19 files changed, 51 insertions(+), 49 deletions(-) diff --git a/WORKSPACE b/WORKSPACE index be7a05ef4371..73158be8e560 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -1,4 +1,4 @@ -workspace(name = "com_github_ray_project_ray") +workspace(name = "io_ray") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") diff --git a/bazel/gen_extract.py b/bazel/gen_extract.py index ce89c7e49a3b..1930440a4235 100644 --- a/bazel/gen_extract.py +++ b/bazel/gen_extract.py @@ -12,7 +12,7 @@ def gen_extract( sub_dir: str = "python", ): r = runfiles.Create() - _repo_name = "com_github_ray_project_ray" + _repo_name = "io_ray" root_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY") if not root_dir: diff --git a/bazel/jemalloc.BUILD b/bazel/jemalloc.BUILD index e0be47fd4446..545a557293a2 100644 --- a/bazel/jemalloc.BUILD +++ b/bazel/jemalloc.BUILD @@ -1,5 +1,5 @@ load("@rules_foreign_cc//foreign_cc:configure.bzl", "configure_make") -load("@com_github_ray_project_ray//bazel:ray.bzl", "filter_files_with_suffix") +load("@io_ray//bazel:ray.bzl", "filter_files_with_suffix") filegroup( name = "all", diff --git a/bazel/ray_deps_build_all.bzl b/bazel/ray_deps_build_all.bzl index a8597dd1840f..8d59beab3263 100644 --- a/bazel/ray_deps_build_all.bzl +++ b/bazel/ray_deps_build_all.bzl @@ -1,5 +1,5 @@ load("@bazel_skylib//:workspace.bzl", "bazel_skylib_workspace") -load("@com_github_ray_project_ray//java:dependencies.bzl", "gen_java_deps") +load("@io_ray//java:dependencies.bzl", "gen_java_deps") load("@com_github_nelhage_rules_boost//:boost/boost.bzl", "boost_deps") load("@com_github_jupp0r_prometheus_cpp//bazel:repositories.bzl", "prometheus_cpp_repositories") load("@com_github_grpc_grpc//third_party/py:python_configure.bzl", "python_configure") diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index 210f71c8b1da..5ece022cdb29 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -53,7 +53,7 @@ def auto_http_archive( # auto appending ray project namespace prefix for 3rd party library reusing. if build_file == True: - build_file = "@com_github_ray_project_ray//%s:%s" % ("bazel", name + ".BUILD") + build_file = "@io_ray//%s:%s" % ("bazel", name + ".BUILD") if urls == True: prefer_url_over_mirrors = is_github @@ -106,41 +106,41 @@ def ray_deps_setup(): # all of http/git_repository should add prefix for patches defined in ray directory. auto_http_archive( name = "com_github_antirez_redis", - build_file = "@com_github_ray_project_ray//bazel:redis.BUILD", + build_file = "@io_ray//bazel:redis.BUILD", patch_args = ["-p1"], url = "https://github.com/redis/redis/archive/refs/tags/7.2.3.tar.gz", sha256 = "afd656dbc18a886f9a1cc08a550bf5eb89de0d431e713eba3ae243391fb008a6", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:redis-quiet.patch", + "@io_ray//thirdparty/patches:redis-quiet.patch", ], workspace_file_content = 'workspace(name = "com_github_antirez_redis")', ) auto_http_archive( name = "com_github_redis_hiredis", - build_file = "@com_github_ray_project_ray//bazel:hiredis.BUILD", + build_file = "@io_ray//bazel:hiredis.BUILD", url = "https://github.com/redis/hiredis/archive/60e5075d4ac77424809f855ba3e398df7aacefe8.tar.gz", sha256 = "b6d6f799b7714d85316f9ebfb76a35a78744f42ea3b6774289d882d13a2f0383", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:hiredis-windows-msvc.patch", + "@io_ray//thirdparty/patches:hiredis-windows-msvc.patch", ], ) auto_http_archive( name = "com_github_spdlog", - build_file = "@com_github_ray_project_ray//bazel:spdlog.BUILD", + build_file = "@io_ray//bazel:spdlog.BUILD", urls = ["https://github.com/gabime/spdlog/archive/v1.12.0.zip"], sha256 = "6174bf8885287422a6c6a0312eb8a30e8d22bcfcee7c48a6d02d1835d7769232", # spdlog rotation filename format conflict with ray, update the format. patches = [ - "@com_github_ray_project_ray//thirdparty/patches:spdlog-rotation-file-format.patch", + "@io_ray//thirdparty/patches:spdlog-rotation-file-format.patch", ], patch_args = ["-p1"], ) auto_http_archive( name = "com_github_tporadowski_redis_bin", - build_file = "@com_github_ray_project_ray//bazel:redis.BUILD", + build_file = "@io_ray//bazel:redis.BUILD", strip_prefix = None, url = "https://github.com/tporadowski/redis/releases/download/v5.0.9/Redis-x64-5.0.9.zip", sha256 = "b09565b22b50c505a5faa86a7e40b6683afb22f3c17c5e6a5e35fc9b7c03f4c2", @@ -224,8 +224,8 @@ def ray_deps_setup(): url = "https://github.com/census-instrumentation/opencensus-cpp/archive/5e5f2632c84e2230fb7ccb8e336f603d2ec6aa1b.zip", sha256 = "1b88d6663f05c6a56c1604eb2afad22831d5f28a76f6fab8f37187f1e4ace425", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:opencensus-cpp-harvest-interval.patch", - "@com_github_ray_project_ray//thirdparty/patches:opencensus-cpp-shutdown-api.patch", + "@io_ray//thirdparty/patches:opencensus-cpp-harvest-interval.patch", + "@io_ray//thirdparty/patches:opencensus-cpp-shutdown-api.patch", ], patch_args = ["-p1"], ) @@ -263,11 +263,11 @@ def ray_deps_setup(): url = "https://github.com/jupp0r/prometheus-cpp/archive/60eaa4ea47b16751a8e8740b05fe70914c68a480.tar.gz", sha256 = "ec825b802487ac18b0d98e2e8b7961487b12562f8f82e424521d0a891d9e1373", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:prometheus-windows-headers.patch", + "@io_ray//thirdparty/patches:prometheus-windows-headers.patch", # https://github.com/jupp0r/prometheus-cpp/pull/225 - "@com_github_ray_project_ray//thirdparty/patches:prometheus-windows-zlib.patch", - "@com_github_ray_project_ray//thirdparty/patches:prometheus-windows-pollfd.patch", - "@com_github_ray_project_ray//thirdparty/patches:prometheus-zlib-fdopen.patch", + "@io_ray//thirdparty/patches:prometheus-windows-zlib.patch", + "@io_ray//thirdparty/patches:prometheus-windows-pollfd.patch", + "@io_ray//thirdparty/patches:prometheus-zlib-fdopen.patch", ], ) @@ -277,9 +277,9 @@ def ray_deps_setup(): url = "https://github.com/grpc/grpc/archive/refs/tags/v1.57.1.tar.gz", sha256 = "0762f809b9de845e6a7c809cabccad6aa4143479fd43b396611fe5a086c0aeeb", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:grpc-cython-copts.patch", - "@com_github_ray_project_ray//thirdparty/patches:grpc-zlib-fdopen.patch", - "@com_github_ray_project_ray//thirdparty/patches:grpc-configurable-thread-count.patch", + "@io_ray//thirdparty/patches:grpc-cython-copts.patch", + "@io_ray//thirdparty/patches:grpc-zlib-fdopen.patch", + "@io_ray//thirdparty/patches:grpc-configurable-thread-count.patch", ], ) @@ -356,7 +356,7 @@ def ray_deps_setup(): url = "https://github.com/msgpack/msgpack-c/archive/8085ab8721090a447cf98bb802d1406ad7afe420.tar.gz", sha256 = "83c37c9ad926bbee68d564d9f53c6cbb057c1f755c264043ddd87d89e36d15bb", patches = [ - "@com_github_ray_project_ray//thirdparty/patches:msgpack-windows-iovec.patch", + "@io_ray//thirdparty/patches:msgpack-windows-iovec.patch", ], ) @@ -372,7 +372,7 @@ def ray_deps_setup(): strip_prefix = "json-3.9.1", urls = ["https://github.com/nlohmann/json/archive/v3.9.1.tar.gz"], sha256 = "4cf0df69731494668bdd6460ed8cb269b68de9c19ad8c27abc24cd72605b2d5b", - build_file = "@com_github_ray_project_ray//bazel:nlohmann_json.BUILD", + build_file = "@io_ray//bazel:nlohmann_json.BUILD", ) auto_http_archive( @@ -398,7 +398,7 @@ def ray_deps_setup(): http_archive( name = "jemalloc", urls = ["https://github.com/jemalloc/jemalloc/releases/download/5.3.0/jemalloc-5.3.0.tar.bz2"], - build_file = "@com_github_ray_project_ray//bazel:jemalloc.BUILD", + build_file = "@io_ray//bazel:jemalloc.BUILD", sha256 = "2db82d1e7119df3e71b7640219b6dfe84789bc0537983c3b7ac4f7189aecfeaa", strip_prefix = "jemalloc-5.3.0", ) diff --git a/ci/pipeline/test_conditional_testing.py b/ci/pipeline/test_conditional_testing.py index b7b577dfa59a..91e59c462a94 100644 --- a/ci/pipeline/test_conditional_testing.py +++ b/ci/pipeline/test_conditional_testing.py @@ -10,7 +10,7 @@ from ci.pipeline.determine_tests_to_run import TagRule, TagRuleSet -_REPO_NAME = "com_github_ray_project_ray" +_REPO_NAME = "io_ray" _runfiles = runfiles.Create() diff --git a/ci/ray_ci/windows/build_ray.sh b/ci/ray_ci/windows/build_ray.sh index 0966becbf3d1..2731118742ce 100644 --- a/ci/ray_ci/windows/build_ray.sh +++ b/ci/ray_ci/windows/build_ray.sh @@ -11,7 +11,8 @@ cd /c/rayci { echo "build --announce_rc"; echo "build --config=ci"; - echo "startup --output_user_root=c:/raytmp"; + # Set a shorter output_base to avoid long file paths that Windows can't handle. + echo "startup --output_base=c:/bzl"; echo "build --remote_cache=${BUILDKITE_BAZEL_CACHE_URL}"; } >> ~/.bazelrc diff --git a/ci/raydepsets/testing_utils.py b/ci/raydepsets/testing_utils.py index ee6040df5e41..38f595ce7003 100644 --- a/ci/raydepsets/testing_utils.py +++ b/ci/raydepsets/testing_utils.py @@ -4,7 +4,7 @@ import runfiles -_REPO_NAME = "com_github_ray_project_ray" +_REPO_NAME = "io_ray" _runfiles = runfiles.Create() diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 9bb61764c2d9..b623a7db3cfa 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -29,7 +29,7 @@ save_packages_to_file, ) -_REPO_NAME = "com_github_ray_project_ray" +_REPO_NAME = "io_ray" _runfiles = runfiles.Create() diff --git a/ci/raydepsets/tests/utils.py b/ci/raydepsets/tests/utils.py index 8dae5634a524..6e3ca310b7d7 100644 --- a/ci/raydepsets/tests/utils.py +++ b/ci/raydepsets/tests/utils.py @@ -4,7 +4,7 @@ import runfiles -_REPO_NAME = "com_github_ray_project_ray" +_REPO_NAME = "io_ray" _runfiles = runfiles.Create() diff --git a/doc/external/test_hashes.py b/doc/external/test_hashes.py index 7e98fcf6bc4b..4bd5a62aa203 100644 --- a/doc/external/test_hashes.py +++ b/doc/external/test_hashes.py @@ -6,7 +6,7 @@ import runfiles import pytest -_REPO_NAME = "com_github_ray_project_ray" +_REPO_NAME = "io_ray" _runfiles = runfiles.Create() diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 357673725614..df4c0d1aceed 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -249,22 +249,22 @@ java_test( # More detail please see https://github.com/ray-project/ray/pull/21641. java_proto_compile( name = "common_java_proto", - deps = ["@com_github_ray_project_ray//src/ray/protobuf:common_proto"], + deps = ["@io_ray//src/ray/protobuf:common_proto"], ) java_proto_compile( name = "runtime_env_common_java_proto", - deps = ["@com_github_ray_project_ray//src/ray/protobuf:runtime_env_common_proto"], + deps = ["@io_ray//src/ray/protobuf:runtime_env_common_proto"], ) java_proto_compile( name = "gcs_java_proto", - deps = ["@com_github_ray_project_ray//src/ray/protobuf:gcs_proto"], + deps = ["@io_ray//src/ray/protobuf:gcs_proto"], ) java_proto_compile( name = "serve_java_proto", - deps = ["@com_github_ray_project_ray//src/ray/protobuf:serve_proto"], + deps = ["@io_ray//src/ray/protobuf:serve_proto"], ) filegroup( diff --git a/python/ray/serve/tests/unit/test_config.py b/python/ray/serve/tests/unit/test_config.py index ee462a42ba63..eb5eb7017061 100644 --- a/python/ray/serve/tests/unit/test_config.py +++ b/python/ray/serve/tests/unit/test_config.py @@ -168,7 +168,9 @@ def test_setting_and_getting_request_router_class(self): "python.ray.serve.tests.unit.test_config.FakeRequestRouter" ) if sys.platform == "win32": - request_router_path = "com_github_ray_project_ray.python.ray.serve.tests.unit.test_config.FakeRequestRouter" + request_router_path = ( + "io_ray.python.ray.serve.tests.unit.test_config.FakeRequestRouter" + ) # Passing request_router_class as a class. deployment_config = DeploymentConfig.from_default( diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index 4d8c20bc24ce..0d3de67cda18 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -40,9 +40,9 @@ def scrub_traceback(ex): ex = re.sub(r"\x1b\[39m", "", ex) # When running bazel test with pytest 6.x, the module name becomes # "python.ray.tests.test_traceback" instead of just "test_traceback" - # Also remove the "com_github_ray_project_ray" prefix, which may appear on Windows. + # Also remove the "io_ray" prefix, which may appear on Windows. ex = re.sub( - r"(com_github_ray_project_ray.)?python\.ray\.tests\.test_traceback", + r"(io_ray.)?python\.ray\.tests\.test_traceback", "test_traceback", ex, ) diff --git a/release/ray_release/bazel.py b/release/ray_release/bazel.py index 895fefc5cc7d..aa82b3a5acf7 100644 --- a/release/ray_release/bazel.py +++ b/release/ray_release/bazel.py @@ -2,7 +2,7 @@ import runfiles -REPO_NAME = "com_github_ray_project_ray" +REPO_NAME = "io_ray" _LEGACY_REPO_ROOT = os.path.abspath( os.path.join(os.path.dirname(__file__), "../.."), ) diff --git a/src/ray/core_worker/task_execution/test/BUILD.bazel b/src/ray/core_worker/task_execution/test/BUILD.bazel index 261846d87063..48666ca86ce0 100644 --- a/src/ray/core_worker/task_execution/test/BUILD.bazel +++ b/src/ray/core_worker/task_execution/test/BUILD.bazel @@ -23,9 +23,8 @@ ray_cc_test( ], ) -# Test name is shortened for running on Windows. ray_cc_test( - name = "concrncy_grp_mgr_test", + name = "concurrency_group_manager_test", srcs = ["concurrency_group_manager_test.cc"], tags = ["team:core"], deps = [ diff --git a/src/ray/core_worker/task_submission/test/BUILD.bazel b/src/ray/core_worker/task_submission/test/BUILD.bazel index 0c96c0d3c0ae..036e4a297df1 100644 --- a/src/ray/core_worker/task_submission/test/BUILD.bazel +++ b/src/ray/core_worker/task_submission/test/BUILD.bazel @@ -1,7 +1,7 @@ load("//bazel:ray.bzl", "ray_cc_test") ray_cc_test( - name = "dep_res_test", + name = "dependency_resolver_test", size = "small", srcs = ["dependency_resolver_test.cc"], tags = ["team:core"], @@ -15,7 +15,7 @@ ray_cc_test( ) ray_cc_test( - name = "ooo_submit_queue_test", + name = "out_of_order_actor_submit_queue_test", size = "small", srcs = ["out_of_order_actor_submit_queue_test.cc"], tags = ["team:core"], @@ -28,7 +28,7 @@ ray_cc_test( ) ray_cc_test( - name = "da_transport_test", + name = "direct_actor_transport_test", srcs = ["direct_actor_transport_test.cc"], tags = ["team:core"], deps = [ @@ -40,7 +40,7 @@ ray_cc_test( ) ray_cc_test( - name = "at_submitter_test", + name = "actor_task_submitter_test", srcs = ["actor_task_submitter_test.cc"], tags = ["team:core"], deps = [ @@ -58,7 +58,7 @@ ray_cc_test( ) ray_cc_test( - name = "nt_submitter_test", + name = "normal_task_submitter_test", size = "small", srcs = ["normal_task_submitter_test.cc"], tags = ["team:core"], diff --git a/thirdparty/patches/grpc-zlib-fdopen.patch b/thirdparty/patches/grpc-zlib-fdopen.patch index c48a35bc4ec5..83dfba2b95ff 100644 --- a/thirdparty/patches/grpc-zlib-fdopen.patch +++ b/thirdparty/patches/grpc-zlib-fdopen.patch @@ -6,8 +6,8 @@ diff -u bazel/grpc_deps.bzl "https://github.com/madler/zlib/archive/04f42ceca40f73e2978b50e93806c2a18c1281fc.tar.gz", ], + patches = [ -+ "@com_github_ray_project_ray//thirdparty/patches:zlib-fdopen.patch", ++ "@io_ray//thirdparty/patches:zlib-fdopen.patch", + ] ) - if "com_google_protobuf" not in native.existing_rules(): \ No newline at end of file + if "com_google_protobuf" not in native.existing_rules(): diff --git a/thirdparty/patches/prometheus-zlib-fdopen.patch b/thirdparty/patches/prometheus-zlib-fdopen.patch index e8ef276d1d14..6d0a112f0891 100644 --- a/thirdparty/patches/prometheus-zlib-fdopen.patch +++ b/thirdparty/patches/prometheus-zlib-fdopen.patch @@ -6,6 +6,6 @@ diff -u bazel/repositories.bzl /tmp/repositories.bzl ], build_file = "@com_github_jupp0r_prometheus_cpp//bazel:zlib.BUILD", + patches = [ -+ "@com_github_ray_project_ray//thirdparty/patches:zlib-fdopen.patch", ++ "@io_ray//thirdparty/patches:zlib-fdopen.patch", + ] - ) \ No newline at end of file + ) From 9bc34ee33dc5ea5c6d37d4da5971e628457c6a84 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 12 Aug 2025 21:27:09 -0400 Subject: [PATCH 0659/1566] [Data] Fixing flaky test (#55485) ## Why are these changes needed? Currently, the test is allocated only 100Mb, while it's trying to store 2Gb worth of data in the Object Store. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 4 ++-- ...k_scaling.py => test_jumbo_arrow_block.py} | 19 ++++++++++++++++--- 2 files changed, 18 insertions(+), 5 deletions(-) rename python/ray/data/tests/{test_arrow_block_scaling.py => test_jumbo_arrow_block.py} (82%) diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 6b0083700fd0..59bc8b57c741 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -214,9 +214,9 @@ py_test( ) py_test( - name = "test_arrow_block_scaling", + name = "test_jumbo_arrow_block", size = "large", - srcs = ["tests/test_arrow_block_scaling.py"], + srcs = ["tests/test_jumbo_arrow_block.py"], tags = [ "data_non_parallel", "exclusive", diff --git a/python/ray/data/tests/test_arrow_block_scaling.py b/python/ray/data/tests/test_jumbo_arrow_block.py similarity index 82% rename from python/ray/data/tests/test_arrow_block_scaling.py rename to python/ray/data/tests/test_jumbo_arrow_block.py index 75282dcdb085..ba7fd0b586d3 100644 --- a/python/ray/data/tests/test_arrow_block_scaling.py +++ b/python/ray/data/tests/test_jumbo_arrow_block.py @@ -10,6 +10,7 @@ import ray from ray.data import DataContext from ray.data._internal.util import GiB, MiB +from ray.tests.conftest import _ray_start @pytest.fixture(scope="module") @@ -45,6 +46,18 @@ def parquet_dataset_single_column_gt_2gb(): print(f">>> Cleaning up dataset at {dataset_path}") +@pytest.fixture(scope="module") +def ray_cluster_3gb_object_store(): + original_limit = ray._private.ray_constants.MAC_DEGRADED_PERF_MMAP_SIZE_LIMIT + + ray._private.ray_constants.MAC_DEGRADED_PERF_MMAP_SIZE_LIMIT = 3 * GiB + + with _ray_start(object_store_memory=3 * GiB) as res: + yield res + + ray._private.ray_constants.MAC_DEGRADED_PERF_MMAP_SIZE_LIMIT = original_limit + + @pytest.mark.parametrize( "op", [ @@ -54,7 +67,7 @@ def parquet_dataset_single_column_gt_2gb(): ) @pytest.mark.timeout(300) def test_arrow_batch_gt_2gb( - ray_start_regular, + ray_cluster_3gb_object_store, parquet_dataset_single_column_gt_2gb, restore_data_context, op, @@ -76,9 +89,9 @@ def _id(x): # numpy format ds = ds.map_batches( _id, - batch_format="numpy", + batch_format="pyarrow", batch_size=num_rows, - zero_copy_batch=False, + zero_copy_batch=True, ) batch = ds.take_batch() From a753bf5f40bfc85e4f428bbca243b478058c3bc1 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Wed, 13 Aug 2025 15:58:42 +0200 Subject: [PATCH 0660/1566] [RLlib] Add another curriculum example using Atari Pong and frameskip tasks. (#54966) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-examples.rst | 5 + rllib/BUILD | 20 ++ .../curriculum/curriculum_learning.py | 9 + .../curriculum/pong_curriculum_learning.py | 281 ++++++++++++++++++ 4 files changed, 315 insertions(+) create mode 100644 rllib/examples/curriculum/pong_curriculum_learning.py diff --git a/doc/source/rllib/rllib-examples.rst b/doc/source/rllib/rllib-examples.rst index f32307de0bfa..16d49f4917d0 100644 --- a/doc/source/rllib/rllib-examples.rst +++ b/doc/source/rllib/rllib-examples.rst @@ -177,6 +177,11 @@ Curriculum learning This approach enables gradual learning, allowing agents to master simpler tasks before progressing to more challenging ones, ideal for environments with hierarchical or staged difficulties. Also see the :doc:`curriculum learning how-to ` from the documentation. +- `Curriculum learning for Atari Pong `__: + Demonstrates curriculum learning for Atari Pong using the `frameskip` to increase difficulty of the task. + This approach enables gradual learning, allowing agents to master slower reactions (lower `frameskip`) before progressing to more faster ones (higher `frameskip`). + Also see the :doc:`curriculum learning how-to ` from the documentation. + Debugging +++++++++ diff --git a/rllib/BUILD b/rllib/BUILD index 41fcc6f16146..a71722bd0607 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -3973,6 +3973,26 @@ py_test( ], ) +py_test( + name = "examples/curriculum/pong_curriculum_learning", + size = "large", + srcs = ["examples/curriculum/pong_curriculum_learning.py"], + args = [ + "--as-test", + "--num-env-runners=10", + "--num-cpus=11", + "--num-envs-per-env-runner=5", + "--stop-iters=20", + "--stop-reward=-21.0", + ], + main = "examples/curriculum/pong_curriculum_learning.py", + tags = [ + "examples", + "exclusive", + "team:rllib", + ], +) + # subdirectory: debugging/ # .................................... py_test( diff --git a/rllib/examples/curriculum/curriculum_learning.py b/rllib/examples/curriculum/curriculum_learning.py index 252a468698be..a3a71de6789f 100644 --- a/rllib/examples/curriculum/curriculum_learning.py +++ b/rllib/examples/curriculum/curriculum_learning.py @@ -148,6 +148,15 @@ def _remote_fn(env_runner, new_task: int): class EnvTaskCallback(RLlibCallback): """Custom callback implementing `on_train_result()` for changing the envs' maps.""" + def on_algorithm_init( + self, + *, + algorithm: "Algorithm", + **kwargs, + ) -> None: + # Set the initial task to 0. + algorithm._counters["current_env_task"] = 0 + def on_train_result( self, *, diff --git a/rllib/examples/curriculum/pong_curriculum_learning.py b/rllib/examples/curriculum/pong_curriculum_learning.py new file mode 100644 index 000000000000..07881d3275d5 --- /dev/null +++ b/rllib/examples/curriculum/pong_curriculum_learning.py @@ -0,0 +1,281 @@ +"""Example of using curriculum learning for Atari Pong by implementing a custom callback. + +This example: + - demonstrates how to define a curriculum for an agent playing gymnasium's Atari + Pong. + - defines a custom callback that gets called once per iteration and - if the agent + performs well enough - increases the task difficulty, i.e. the `frameskip` for all + environments on all EnvRunners (the agent must act now faster). + - also demonstrates how to provide the callback with varying curriculum parameters + (like threshold maps, returns at which the curriculum ends, etc.). + - uses Ray Tune and RLlib to curriculum-learn Atari Pong with a high frameskip. + +We use Atari Pong with a framestack of 4 images (i.e. observation dimensions of 64x64x4) +and start with a frameskip of 1. At a return of 15.0 we increase the frameskip to 2, at +a return of 17.0 to 3, at 19.0 to 4, and the task is solved at a frameskip of 21.0. + +How to run this script +---------------------- +`python [script file name].py` + +Use the `--solved-return` flag to define the threshold at which curriculum learning ends. +Note that a PPO agent on Atari Pong will need a long time to learn. + +To ensure the agent has not collapsed, but rather made had a bad seed, we only decrease +the frameskip when the agent performed worse than the next lower threshold. The margin by +which the agent has to be worse is defined by the `--demotion-margin` argument and defaults +to 2.0. + +For debugging, use the following additional command line options +`--no-tune --num-env-runners=0` +which should allow you to set breakpoints anywhere in the RLlib code and +have the execution stop there for inspection and debugging. + +For logging to your WandB account, use: +`--wandb-key=[your WandB API key] --wandb-project=[some project name] +--wandb-run-name=[optional: WandB run name (within the defined project)]` + + +""" + +import functools +import gymnasium as gym +from typing import Callable + +from ray import tune +from ray.rllib.algorithms.algorithm import Algorithm +from ray.rllib.algorithms.ppo import PPOConfig +from ray.rllib.callbacks.callbacks import RLlibCallback +from ray.rllib.connectors.env_to_module.frame_stacking import FrameStackingEnvToModule +from ray.rllib.connectors.learner.frame_stacking import FrameStackingLearner +from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig +from ray.rllib.env.wrappers.atari_wrappers import wrap_atari_for_new_api_stack +from ray.rllib.utils.metrics import ENV_RUNNER_RESULTS, EPISODE_RETURN_MEAN +from ray.rllib.utils.test_utils import add_rllib_example_script_args + + +parser = add_rllib_example_script_args( + default_reward=float("inf"), + default_timesteps=3000000, + default_iters=100000000000, +) +parser.set_defaults( + env="ale_py:ALE/Pong-v5", +) +parser.add_argument( + "--solved-return", + type=float, + default=21.0, + help=("The mean episode return at which we consider the task to be fully solved."), +) +parser.add_argument( + "--demotion-margin", + type=float, + default=2.0, + help=( + "The margin below the next lower task threshold, beneath which the agent " + " is considered to have collapsed, prompting a downgrade of the task." + ), +) +# Use `parser` to add your own custom command line options to this script +# and (if needed) use their values to set up `config` below. +args = parser.parse_args() + +NUM_LEARNERS = args.num_learners or 1 +ENV = args.env + + +class PongEnvTaskCallback(RLlibCallback): + """Custom callback changing the frameskip in Atari Pong dependent on return.""" + + def __init__( + self, + task_threshold_map: dict, + remote_fn: Callable, + demotion_margin: float = 0.0, + solved_return: float = float("inf"), + ): + self.task_threshold_map = task_threshold_map + self.remote_fn = remote_fn + self.demotion_margin = demotion_margin + self.solved_return = solved_return + + def on_algorithm_init( + self, + *, + algorithm: "Algorithm", + **kwargs, + ) -> None: + # Set the initial task to 1, which corresponds to a frameskip of 1. + algorithm.metrics.log_value("current_env_task", 1, reduce="sum") + + def on_train_result( + self, + *, + algorithm: Algorithm, + metrics_logger=None, + result: dict, + **kwargs, + ) -> None: + # Store the current task inside the metrics logger in our Algorithm. + current_task = metrics_logger.peek("current_env_task") + + # If episode return is consistently above `task_threshold_map[current_task]`, + # we switch to a more difficult task (i.e. higher `frameskip`` if possible). + # If we already mastered the most difficult task, we publish our victory in + # the result dict. + result["task_solved"] = 0.0 + + # Note, in the first callback executions there may be no completed episode + # (and therefore no episode return) reported. In this case we will skip the + # the logic to manage task difficulty. + if EPISODE_RETURN_MEAN in result[ENV_RUNNER_RESULTS]: + current_return = result[ENV_RUNNER_RESULTS][EPISODE_RETURN_MEAN] + else: + return + + # Get the threshold of the current task from the threshold map. + threshold = self.task_threshold_map.get(current_task, float("inf")) + + # Check, if curriculum is solved. + final_task = max(self.task_threshold_map.keys()) + if current_task == final_task and current_return >= self.solved_return: + # Hardest task was solved -> report this in the results dict. + result["task_solved"] = 1.0 + + # Check promotion (increasing task). Note, we could use here also a promotion_patience + # that ensures that the return is collected in a stable manner instead of a lucky shot. + if ( + current_return >= threshold + ): # & result[ENV_RUNNER_RESULTS][NUM_EPISODES] > promotion_patience. + next_task = current_task + 1 + if next_task in self.task_threshold_map: + print( + f"Switching task on all EnvRunners up to #{next_task} (1=easiest, " + f"4=hardest), b/c R={current_return} on current task." + ) + # Increase task. + algorithm.env_runner_group.foreach_env_runner( + func=functools.partial(self.remote_fn, new_task=next_task) + ) + metrics_logger.log_value("current_env_task", next_task, window=1) + + # Check demotion (decreasing task). The demotion is used to avoid decreasing the task + # in case of an unlucky episode run. Only if the return is singificantly lower we + # decrease the task. + previous_task = current_task - 1 + if previous_task in self.task_threshold_map: + previous_threshold = self.task_threshold_map[previous_task] + if current_return < previous_threshold - self.demotion_margin: + print( + f"Switching task on all EnvRunners back to #{previous_task} (1=easiest, " + f"4=hardest), b/c R={current_return} on current task." + ) + # Decrease to previous level. + algorithm.env_runner_group.foreach_env_runner( + func=functools.partial(self.remote_fn, new_task=previous_task) + ) + metrics_logger.log_value("current_env_task", previous_task, window=1) + + +# These tags allow extracting portions of this script on Anyscale. +# ws-template-code-start +def _make_env_to_module_connector(env, spaces, device): + return FrameStackingEnvToModule(num_frames=4) + + +def _make_learner_connector(input_observation_space, input_action_space): + return FrameStackingLearner(num_frames=4) + + +# Create a custom Atari setup (w/o the usual RLlib-hard-coded framestacking in it). +# We would like our frame stacking connector to do this job. +def _env_creator(cfg): + return wrap_atari_for_new_api_stack( + gym.make(ENV, **cfg, render_mode="rgb_array"), + # Perform frame-stacking through ConnectorV2 API. + framestack=None, + ) + + +# Simple function sent to an EnvRunner to change the map of all its gym. Envs from +# the current one to a new (tougher) one, in which the frameskip is higher +# and the agent must therefore act faster. +def _remote_fn(env_runner, new_task: int): + # Override the env_config with the new setting. + env_runner.config.env_config.update( + { + "frameskip": new_task, + } + ) + # We recreate the entire env object by changing the env_config on the worker, + # then calling its `make_env()` method. + env_runner.make_env() + + +# Task threshold map keeps track of thresholds for each task. If the threshold has +# been surpassed the task difficulty is increased. +task_threshold_map = { + # Frameskip: Return. + 1: 15.0, + 2: 17.0, + 3: 19.0, + 4: float("inf"), +} + +tune.register_env("env", _env_creator) + +config = ( + PPOConfig() + .environment( + "env", + env_config={ + # Make analogous to old v4 + NoFrameskip. + "frameskip": 1, + "full_action_space": False, + "repeat_action_probability": 0.0, + }, + clip_rewards=True, + ) + .env_runners( + env_to_module_connector=_make_env_to_module_connector, + ) + .training( + learner_connector=_make_learner_connector, + train_batch_size_per_learner=4000, + minibatch_size=128, + lambda_=0.95, + kl_coeff=0.5, + clip_param=0.1, + vf_clip_param=10.0, + entropy_coeff=0.01, + num_epochs=10, + lr=0.00015 * NUM_LEARNERS, + grad_clip=100.0, + grad_clip_by="global_norm", + ) + .rl_module( + model_config=DefaultModelConfig( + conv_filters=[[16, 4, 2], [32, 4, 2], [64, 4, 2], [128, 4, 2]], + conv_activation="relu", + head_fcnet_hiddens=[256], + vf_share_layers=True, + ), + ) + .callbacks( + functools.partial( + PongEnvTaskCallback, + task_threshold_map=task_threshold_map, + remote_fn=_remote_fn, + # Avoids downgrading the task to early when the agent had an unlucky run. + demotion_margin=args.demotion_margin, + # The return at which the task is learned. + solved_return=args.solved_return, + ) + ) +) + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + run_rllib_example_script_experiment(config, args=args) From 4b62789d5f24e1886167570b38d9e9182256b521 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Wed, 13 Aug 2025 15:59:06 +0200 Subject: [PATCH 0661/1566] [RLlib] Implicit Q-Learning. (#55304) Signed-off-by: Douglas Strodtman --- rllib/BUILD | 51 ++++ rllib/algorithms/iql/__init__.py | 6 + rllib/algorithms/iql/default_iql_rl_module.py | 35 +++ rllib/algorithms/iql/iql.py | 202 +++++++++++++++ rllib/algorithms/iql/iql_learner.py | 84 ++++++ rllib/algorithms/iql/torch/__init__.py | 0 .../iql/torch/default_iql_torch_rl_module.py | 78 ++++++ .../algorithms/iql/torch/iql_torch_learner.py | 245 ++++++++++++++++++ rllib/algorithms/registry.py | 8 + rllib/algorithms/sac/sac_learner.py | 69 +++-- .../sac/torch/default_sac_torch_rl_module.py | 7 +- rllib/tuned_examples/bc/cartpole_bc.py | 2 +- .../bc/cartpole_bc_with_offline_evaluation.py | 2 +- rllib/tuned_examples/cql/pendulum_cql.py | 2 +- rllib/tuned_examples/iql/pendulum_iql.py | 90 +++++++ .../tuned_examples/marwil/cartpole_marwil.py | 2 +- 16 files changed, 856 insertions(+), 27 deletions(-) create mode 100644 rllib/algorithms/iql/__init__.py create mode 100644 rllib/algorithms/iql/default_iql_rl_module.py create mode 100644 rllib/algorithms/iql/iql.py create mode 100644 rllib/algorithms/iql/iql_learner.py create mode 100644 rllib/algorithms/iql/torch/__init__.py create mode 100644 rllib/algorithms/iql/torch/default_iql_torch_rl_module.py create mode 100644 rllib/algorithms/iql/torch/iql_torch_learner.py create mode 100644 rllib/tuned_examples/iql/pendulum_iql.py diff --git a/rllib/BUILD b/rllib/BUILD index a71722bd0607..6c061cedb07f 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -1095,6 +1095,57 @@ py_test( # args = ["--as-test", "--num-learners=2", "--num-gpus-per-learner=1"] # ) +# IQL +# Pendulum-v1 (enormous) +py_test( + name = "learning_tests_pendulum_iql", + size = "large", + srcs = ["tuned_examples/iql/pendulum_iql.py"], + args = [ + "--as-test", + "--num-cpus=32", + ], + # Include the offline data files. + data = [ + "tests/data/pendulum/pendulum-v1_enormous", + ], + main = "tuned_examples/iql/pendulum_iql.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_continuous", + "learning_tests_pytorch_use_all_core", + "team:rllib", + "torch_only", + ], +) + +# GPU training. +py_test( + name = "learning_tests_pendulum_iql_gpu", + size = "large", + srcs = ["tuned_examples/iql/pendulum_iql.py"], + args = [ + "--as-test", + "--num-cpus=32", + "--num-gpus-per-learner=1", + ], + # Include the offline data files. + data = [ + "tests/data/pendulum/pendulum-v1_enormous", + ], + main = "tuned_examples/iql/pendulum_iql.py", + tags = [ + "exclusive", + "gpu", + "learning_tests", + "learning_tests_continuous", + "learning_tests_pytorch_use_all_core", + "team:rllib", + "torch_only", + ], +) + # MARWIL # CartPole py_test( diff --git a/rllib/algorithms/iql/__init__.py b/rllib/algorithms/iql/__init__.py new file mode 100644 index 000000000000..404fb83b6aac --- /dev/null +++ b/rllib/algorithms/iql/__init__.py @@ -0,0 +1,6 @@ +from ray.rllib.algorithms.iql.iql import IQL, IQLConfig + +__all__ = [ + "IQL", + "IQLConfig", +] diff --git a/rllib/algorithms/iql/default_iql_rl_module.py b/rllib/algorithms/iql/default_iql_rl_module.py new file mode 100644 index 000000000000..e6e3b2279ac5 --- /dev/null +++ b/rllib/algorithms/iql/default_iql_rl_module.py @@ -0,0 +1,35 @@ +from ray.rllib.algorithms.sac.default_sac_rl_module import DefaultSACRLModule +from ray.rllib.core.models.configs import MLPHeadConfig +from ray.rllib.core.rl_module.apis.value_function_api import ValueFunctionAPI +from ray.rllib.utils.annotations import ( + override, + OverrideToImplementCustomLogic_CallToSuperRecommended, +) + + +class DefaultIQLRLModule(DefaultSACRLModule, ValueFunctionAPI): + @override(DefaultSACRLModule) + def setup(self): + # Setup the `DefaultSACRLModule` to get the catalog. + super().setup() + + # Only, if the `RLModule` is used on a `Learner` we build the value network. + if not self.inference_only: + # Build the encoder for the value function. + self.vf_encoder = self.catalog.build_encoder(framework=self.framework) + + # Build the vf head. + self.vf = MLPHeadConfig( + input_dims=self.catalog.latent_dims, + # Note, we use the same layers as for the policy and Q-network. + hidden_layer_dims=self.catalog.pi_and_qf_head_hiddens, + hidden_layer_activation=self.catalog.pi_and_qf_head_activation, + output_layer_activation="linear", + output_layer_dim=1, + ).build(framework=self.framework) + + @override(DefaultSACRLModule) + @OverrideToImplementCustomLogic_CallToSuperRecommended + def get_non_inference_attributes(self): + # Use all of `super`'s attributes and add the value function attributes. + return super().get_non_inference_attributes() + ["vf_encoder", "vf"] diff --git a/rllib/algorithms/iql/iql.py b/rllib/algorithms/iql/iql.py new file mode 100644 index 000000000000..c7175f6d1a7f --- /dev/null +++ b/rllib/algorithms/iql/iql.py @@ -0,0 +1,202 @@ +from typing import Optional, Type, Union + +from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided +from ray.rllib.algorithms.marwil.marwil import MARWIL, MARWILConfig +from ray.rllib.connectors.common.add_observations_from_episodes_to_batch import ( + AddObservationsFromEpisodesToBatch, +) +from ray.rllib.connectors.learner.add_next_observations_from_episodes_to_train_batch import ( # noqa + AddNextObservationsFromEpisodesToTrainBatch, +) +from ray.rllib.core.learner.learner import Learner +from ray.rllib.core.rl_module.rl_module import RLModuleSpec +from ray.rllib.utils.annotations import override +from ray.rllib.utils.typing import LearningRateOrSchedule, RLModuleSpecType + + +class IQLConfig(MARWILConfig): + """Defines a configuration class from which a new IQL Algorithm can be built + + .. testcode:: + :skipif: True + + from ray.rllib.algorithms.iql import IQLConfig + # Run this from the ray directory root. + config = IQLConfig().training(lr=0.00001, gamma=0.99) + config = config.offline_data( + input_="./rllib/tests/data/pendulum/pendulum-v1_enormous") + + # Build an Algorithm object from the config and run 1 training iteration. + algo = config.build() + algo.train() + + .. testcode:: + :skipif: True + + from ray.rllib.algorithms.iql import IQLConfig + from ray import tune + config = IQLConfig() + # Print out some default values. + print(config.beta) + # Update the config object. + config.training( + lr=tune.grid_search([0.001, 0.0001]), beta=0.75 + ) + # Set the config object's data path. + # Run this from the ray directory root. + config.offline_data( + input_="./rllib/tests/data/pendulum-v1_enormous" + ) + # Set the config object's env, used for evaluation. + config.environment(env="Pendulum-v1") + # Use to_dict() to get the old-style python config dict + # when running with tune. + tune.Tuner( + "IQL", + param_space=config.to_dict(), + ).fit() + """ + + def __init__(self, algo_class=None): + super().__init__(algo_class=algo_class or IQL) + + # fmt: off + # __sphinx_doc_begin__ + # The temperature for the actor loss. + self.beta = 0.1 + + # The expectile to use in expectile regression. + self.expectile = 0.8 + + # The learning rates for the actor, critic and value network(s). + self.actor_lr = 3e-4 + self.critic_lr = 3e-4 + self.value_lr = 3e-4 + # Set `lr` parameter to `None` and ensure it is not used. + self.lr = None + + # If a twin-Q architecture should be used (advisable). + self.twin_q = True + + # How often the target network should be updated. + self.target_network_update_freq = 0 + # The weight for Polyak averaging. + self.tau = 1.0 + + # __sphinx_doc_end__ + # fmt: on + + @override(MARWILConfig) + def training( + self, + *, + twin_q: Optional[bool] = NotProvided, + expectile: Optional[float] = NotProvided, + actor_lr: Optional[LearningRateOrSchedule] = NotProvided, + critic_lr: Optional[LearningRateOrSchedule] = NotProvided, + value_lr: Optional[LearningRateOrSchedule] = NotProvided, + target_network_update_freq: Optional[int] = NotProvided, + tau: Optional[float] = NotProvided, + **kwargs, + ) -> "IQLConfig": + super().training(**kwargs) + + if twin_q is not NotProvided: + self.twin_q = twin_q + if expectile is not NotProvided: + self.expectile = expectile + if actor_lr is not NotProvided: + self.actor_lr = actor_lr + if critic_lr is not NotProvided: + self.critic_lr = critic_lr + if value_lr is not NotProvided: + self.value_lr = value_lr + if target_network_update_freq is not NotProvided: + self.target_network_update_freq = target_network_update_freq + if tau is not NotProvided: + self.tau = tau + + return self + + @override(MARWILConfig) + def get_default_learner_class(self) -> Union[Type["Learner"], str]: + if self.framework_str == "torch": + from ray.rllib.algorithms.iql.torch.iql_torch_learner import IQLTorchLearner + + return IQLTorchLearner + else: + raise ValueError( + f"The framework {self.framework_str} is not supported. " + "Use `'torch'` instead." + ) + + @override(MARWILConfig) + def get_default_rl_module_spec(self) -> RLModuleSpecType: + if self.framework_str == "torch": + from ray.rllib.algorithms.iql.torch.default_iql_torch_rl_module import ( + DefaultIQLTorchRLModule, + ) + + return RLModuleSpec(module_class=DefaultIQLTorchRLModule) + else: + raise ValueError( + f"The framework {self.framework_str} is not supported. " + "Use `torch` instead." + ) + + @override(MARWILConfig) + def build_learner_connector( + self, + input_observation_space, + input_action_space, + device=None, + ): + pipeline = super().build_learner_connector( + input_observation_space=input_observation_space, + input_action_space=input_action_space, + device=device, + ) + + # Remove unneeded connectors from the MARWIL connector pipeline. + pipeline.remove("AddOneTsToEpisodesAndTruncate") + pipeline.remove("GeneralAdvantageEstimation") + + # Prepend the "add-NEXT_OBS-from-episodes-to-train-batch" connector piece (right + # after the corresponding "add-OBS-..." default piece). + pipeline.insert_after( + AddObservationsFromEpisodesToBatch, + AddNextObservationsFromEpisodesToTrainBatch(), + ) + + return pipeline + + @override(MARWILConfig) + def validate(self) -> None: + # Call super's validation method. + super().validate() + + # Ensure hyperparameters are meaningful. + if self.beta <= 0.0: + self._value_error( + "For meaningful results, `beta` (temperature) parameter must be >> 0.0!" + ) + if not 0.0 < self.expectile < 1.0: + self._value_error( + "For meaningful results, `expectile` parameter must be in (0, 1)." + ) + + @property + def _model_config_auto_includes(self): + return super()._model_config_auto_includes | {"twin_q": self.twin_q} + + +class IQL(MARWIL): + """Implicit Q-learning (derived from MARWIL). + + Uses MARWIL training step. + """ + + @classmethod + @override(MARWIL) + def get_default_config(cls) -> AlgorithmConfig: + return IQLConfig() diff --git a/rllib/algorithms/iql/iql_learner.py b/rllib/algorithms/iql/iql_learner.py new file mode 100644 index 000000000000..5821f2ccb5e0 --- /dev/null +++ b/rllib/algorithms/iql/iql_learner.py @@ -0,0 +1,84 @@ +from typing import Dict + +from ray.rllib.algorithms.dqn.dqn_learner import DQNLearner +from ray.rllib.utils.annotations import ( + override, + OverrideToImplementCustomLogic_CallToSuperRecommended, +) +from ray.rllib.utils.lambda_defaultdict import LambdaDefaultDict +from ray.rllib.utils.typing import ModuleID, TensorType + +QF_TARGET_PREDS = "qf_target_preds" +VF_PREDS_NEXT = "vf_preds_next" +VF_LOSS = "value_loss" + + +class IQLLearner(DQNLearner): + @OverrideToImplementCustomLogic_CallToSuperRecommended + @override(DQNLearner) + def build(self) -> None: + # Build the `DQNLearner` (builds the target network). + super().build() + + # Define the expectile parameter(s). + self.expectile: Dict[ModuleID, TensorType] = LambdaDefaultDict( + lambda module_id: self._get_tensor_variable( + # Note, we want to train with a certain expectile. + [self.config.get_config_for_module(module_id).expectile], + trainable=False, + ) + ) + + # Define the temperature for the actor advantage loss. + self.temperature: Dict[ModuleID, TensorType] = LambdaDefaultDict( + lambda module_id: self._get_tensor_variable( + # Note, we want to train with a certain expectile. + [self.config.get_config_for_module(module_id).beta], + trainable=False, + ) + ) + + # Store loss tensors here temporarily inside the loss function for (exact) + # consumption later by the compute gradients function. + # Keys=(module_id, optimizer_name), values=loss tensors (in-graph). + self._temp_losses = {} + + @override(DQNLearner) + def remove_module(self, module_id: ModuleID) -> None: + """Removes the expectile and temperature for removed modules.""" + # First call `super`'s `remove_module` method. + super().remove_module(module_id) + # Remove the expectile from the mapping. + self.expectile.pop(module_id, None) + # Remove the temperature from the mapping. + self.temperature.pop(module_id, None) + + @override(DQNLearner) + def add_module( + self, + *, + module_id, + module_spec, + config_overrides=None, + new_should_module_be_updated=None + ): + """Adds the expectile and temperature for new modules.""" + # First call `super`'s `add_module` method. + super().add_module( + module_id=module_id, + module_spec=module_spec, + config_overrides=config_overrides, + new_should_module_be_updated=new_should_module_be_updated, + ) + # Add the expectile to the mapping. + self.expectile[module_id] = self._get_tensor_variable( + # Note, we want to train with a certain expectile. + [self.config.get_config_for_module(module_id).beta], + trainable=False, + ) + # Add the temperature to the mapping. + self.temperature[module_id] = self._get_tensor_variable( + # Note, we want to train with a certain expectile. + [self.config.get_config_for_module(module_id).beta], + trainable=False, + ) diff --git a/rllib/algorithms/iql/torch/__init__.py b/rllib/algorithms/iql/torch/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/rllib/algorithms/iql/torch/default_iql_torch_rl_module.py b/rllib/algorithms/iql/torch/default_iql_torch_rl_module.py new file mode 100644 index 000000000000..00d7fc821e49 --- /dev/null +++ b/rllib/algorithms/iql/torch/default_iql_torch_rl_module.py @@ -0,0 +1,78 @@ +import gymnasium as gym +from typing import Any, Dict, Optional + +from ray.rllib.algorithms.iql.default_iql_rl_module import DefaultIQLRLModule +from ray.rllib.algorithms.iql.iql_learner import VF_PREDS_NEXT, QF_TARGET_PREDS +from ray.rllib.algorithms.sac.torch.default_sac_torch_rl_module import ( + DefaultSACTorchRLModule, +) +from ray.rllib.core.columns import Columns +from ray.rllib.core.models.base import ENCODER_OUT +from ray.rllib.core.rl_module.apis.value_function_api import ValueFunctionAPI +from ray.rllib.utils.annotations import override +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.typing import TensorType + +torch, nn = try_import_torch() + + +class DefaultIQLTorchRLModule(DefaultSACTorchRLModule, DefaultIQLRLModule): + + framework: str = "torch" + + @override(DefaultSACTorchRLModule) + def _forward_train(self, batch: Dict, **kwargs) -> Dict[str, Any]: + + # Right now, IQL runs only with continuous action spaces. + # TODO (simon): Implement it also for discrete action spaces. + if not isinstance(self.action_space, gym.spaces.Box): + raise ValueError( + f"Unsupported action space type: {type(self.action_space)}. " + "Only continuous action spaces are supported." + ) + + # Call the forward pass of the SAC module. + output = super()._forward_train(batch, **kwargs) + + # Create batches for the forward passes of the target Q-networks and the + # value function. + batch_curr = { + Columns.OBS: batch[Columns.OBS], + Columns.ACTIONS: batch[Columns.ACTIONS], + } + batch_next = {Columns.OBS: batch[Columns.NEXT_OBS]} + + # These target q-values are needed for the value loss and actor loss. + output[QF_TARGET_PREDS] = self._qf_forward_train_helper( + batch_curr, encoder=self.target_qf_encoder, head=self.target_qf + ) + # If a twin-Q architecture is used run its target Q-network. + if self.twin_q: + output[QF_TARGET_PREDS] = torch.min( + output[QF_TARGET_PREDS], + self._qf_forward_train_helper( + batch_curr, encoder=self.target_qf_twin_encoder, head=self.qf_twin + ), + ) + + # Compute values for the current observations. + output[Columns.VF_PREDS] = self.compute_values(batch_curr) + # The values of the next observations are needed for the critic loss. + output[VF_PREDS_NEXT] = self.compute_values(batch_next) + + return output + + @override(ValueFunctionAPI) + def compute_values( + self, + batch: Dict[str, Any], + embeddings: Optional[Any] = None, + ) -> TensorType: + # If no embeddings are provided make a forward pass on the encoder. + if embeddings is None: + embeddings = self.vf_encoder(batch)[ENCODER_OUT] + + # Value head. + vf_out = self.vf(embeddings) + # Squeeze out last dimension (single node value head). + return vf_out.squeeze(-1) diff --git a/rllib/algorithms/iql/torch/iql_torch_learner.py b/rllib/algorithms/iql/torch/iql_torch_learner.py new file mode 100644 index 000000000000..85dc68e86fb2 --- /dev/null +++ b/rllib/algorithms/iql/torch/iql_torch_learner.py @@ -0,0 +1,245 @@ +from typing import Dict + +from ray.rllib.algorithms.algorithm_config import AlgorithmConfig +from ray.rllib.algorithms.dqn.dqn_learner import QF_PREDS, QF_LOSS_KEY +from ray.rllib.algorithms.iql.iql_learner import ( + IQLLearner, + QF_TARGET_PREDS, + VF_PREDS_NEXT, + VF_LOSS, +) +from ray.rllib.algorithms.sac.sac_learner import QF_TWIN_PREDS, QF_TWIN_LOSS_KEY +from ray.rllib.core import ALL_MODULES +from ray.rllib.core.columns import Columns +from ray.rllib.core.learner.learner import ( + POLICY_LOSS_KEY, +) +from ray.rllib.core.learner.torch.torch_learner import TorchLearner +from ray.rllib.utils.annotations import override +from ray.rllib.utils.framework import try_import_torch +from ray.rllib.utils.typing import ModuleID, ParamDict, TensorType + +torch, nn = try_import_torch() + + +class IQLTorchLearner(TorchLearner, IQLLearner): + """Implements the IQL loss on top of `IQLLearner`. + + This Learner implements configure_optimizers_for_module to define + separate optimizers for the policy, Q-, and value networks. When + using a twin-Q network architecture, each Q-network is assigned its + own optimizer—consistent with the SAC algorithm. + + The IQL loss is defined in compute_loss_for_module and consists of + three components: value loss, Q-loss (TD error), and actor (policy) + loss. + + Note that the original IQL implementation performs separate backward + passes for each network. However, due to RLlib's reliance on TorchDDP, + all backward passes must be executed within a single update step. This + constraint can lead to parameter lag and cyclical loss behavior, though + it does not hinder convergence. + """ + + @override(TorchLearner) + def configure_optimizers_for_module( + self, module_id: ModuleID, config: AlgorithmConfig = None + ) -> None: + + # Note, we could have derived directly from SACTorchLearner to + # inherit the setup of optimizers, but that learner comes with + # additional parameters which we do not need. + # Receive the module. + module = self._module[module_id] + + # Define the optimizer for the critic. + # TODO (sven): Maybe we change here naming to `qf` for unification. + params_critic = self.get_parameters(module.qf_encoder) + self.get_parameters( + module.qf + ) + optim_critic = torch.optim.Adam(params_critic, eps=1e-7) + self.register_optimizer( + module_id=module_id, + optimizer_name="qf", + optimizer=optim_critic, + params=params_critic, + lr_or_lr_schedule=config.critic_lr, + ) + # If necessary register also an optimizer for a twin Q network. + if config.twin_q: + params_twin_critic = self.get_parameters( + module.qf_twin_encoder + ) + self.get_parameters(module.qf_twin) + optim_twin_critic = torch.optim.Adam(params_twin_critic, eps=1e-7) + self.register_optimizer( + module_id=module_id, + optimizer_name="qf_twin", + optimizer=optim_twin_critic, + params=params_twin_critic, + lr_or_lr_schedule=config.critic_lr, + ) + + # Define the optimizer for the actor. + params_actor = self.get_parameters(module.pi_encoder) + self.get_parameters( + module.pi + ) + optim_actor = torch.optim.Adam(params_actor, eps=1e-7) + self.register_optimizer( + module_id=module_id, + optimizer_name="policy", + optimizer=optim_actor, + params=params_actor, + lr_or_lr_schedule=config.actor_lr, + ) + + # Define the optimizer for the value function. + params_value = self.get_parameters(module.vf_encoder) + self.get_parameters( + module.vf + ) + optim_value = torch.optim.Adam(params_value, eps=1e-7) + self.register_optimizer( + module_id=module_id, + optimizer_name="value", + optimizer=optim_value, + params=params_value, + lr_or_lr_schedule=config.value_lr, + ) + + @override(TorchLearner) + def compute_loss_for_module( + self, + *, + module_id: ModuleID, + config: AlgorithmConfig, + batch: Dict, + fwd_out: Dict + ): + + # Get the module and hyperparameters. + module = self._module[module_id] + expectile = self.expectile[module_id] + temperature = self.temperature[module_id] + + # Get the action distribution for the actor loss. + action_train_dist_class = module.get_train_action_dist_cls() + action_train_dist = action_train_dist_class.from_logits( + fwd_out[Columns.ACTION_DIST_INPUTS] + ) + + # First, compute the value loss via the target Q-network and current observations. + value_loss = torch.mean( + self._expectile_loss( + fwd_out[QF_TARGET_PREDS] - fwd_out[Columns.VF_PREDS], expectile + ) + ) + + # Second, compute the actor loss using the target-Q network and values. + exp_advantages = torch.minimum( + torch.exp( + temperature * (fwd_out[QF_TARGET_PREDS] - fwd_out[Columns.VF_PREDS]) + ), + torch.Tensor([100.0]).to(self.device), + ) + # Note, we are using here the actions from the data sample. + action_logps = action_train_dist.logp(batch[Columns.ACTIONS]) + # Compute the actor loss. + actor_loss = -torch.mean(exp_advantages.detach() * action_logps) + + # Third, compute the critic loss. + target_critic = ( + batch[Columns.REWARDS] + + config.gamma + * (1 - batch[Columns.TERMINATEDS].float()) + * fwd_out[VF_PREDS_NEXT].detach() + ) + + critic_loss = torch.mean( + torch.nn.MSELoss(reduction="none")(target_critic, fwd_out[QF_PREDS]) + ) + + # If we have a twin-Q architecture, calculate the its loss, too. + if config.twin_q: + critic_twin_loss = ( + torch.mean( + torch.nn.MSELoss(reduction="none")( + target_critic, fwd_out[QF_TWIN_PREDS] + ) + ) + * 0.5 + ) + critic_loss *= 0.5 + + # Compute the total loss. + total_loss = value_loss + actor_loss + critic_loss + + # If we have a twin-Q architecture, add its loss. + if config.twin_q: + total_loss += critic_twin_loss + + # Log metrics. + self.metrics.log_dict( + { + POLICY_LOSS_KEY: actor_loss, + QF_LOSS_KEY: critic_loss, + }, + key=module_id, + window=1, # <- single items (should not be mean/ema-reduced over time). + ) + + # Log the losses also in the temporary containers for gradient computation. + self._temp_losses[(module_id, POLICY_LOSS_KEY)] = actor_loss + self._temp_losses[(module_id, QF_LOSS_KEY)] = critic_loss + self._temp_losses[(module_id, VF_LOSS)] = value_loss + + # If a twin-Q architecture is used add metrics and loss. + if config.twin_q: + self.metrics.log_value( + key=(module_id, QF_TWIN_LOSS_KEY), + value=critic_twin_loss, + window=1, # <- single items (should not be mean/ema-reduced over time). + ) + self._temp_losses[(module_id, QF_TWIN_LOSS_KEY)] = critic_twin_loss + + return total_loss + + @override(TorchLearner) + def compute_gradients( + self, loss_per_module: Dict[ModuleID, TensorType], **kwargs + ) -> ParamDict: + grads = {} + for module_id in set(loss_per_module.keys()) - {ALL_MODULES}: + # Loop through optimizers registered for this module. + for optim_name, optim in self.get_optimizers_for_module(module_id): + # Zero the gradients. Note, we need to reset the gradients b/c + # each component for a module operates on the same graph. + optim.zero_grad(set_to_none=True) + + # Compute the gradients for the component and module. + loss_tensor = self._temp_losses.pop((module_id, optim_name + "_loss")) + loss_tensor.backward(retain_graph=True) + # Store the gradients for the component and module. + grads.update( + { + pid: p.grad + for pid, p in self.filter_param_dict_for_optimizer( + self._params, optim + ).items() + } + ) + + # Make sure we updated on all loss terms. + assert not self._temp_losses + return grads + + def _expectile_loss(self, diff: TensorType, expectile: TensorType) -> TensorType: + """Computes the expectile loss. + + Args: + diff: A tensor containing a difference loss. + expectile: The expectile to use for the expectile loss. + + Returns: + The expectile loss of `diff` using `expectile`. + """ + weight = torch.where(diff > 0, expectile, 1 - expectile) + return weight * torch.pow(diff, 2) diff --git a/rllib/algorithms/registry.py b/rllib/algorithms/registry.py index 77f0581a69dc..c349489d165c 100644 --- a/rllib/algorithms/registry.py +++ b/rllib/algorithms/registry.py @@ -40,6 +40,12 @@ def _import_impala(): return impala.IMPALA, impala.IMPALA.get_default_config() +def _import_iql(): + import ray.rllib.algorithms.iql as iql + + return iql.IQL, iql.IQL.get_default_config() + + def _import_marwil(): import ray.rllib.algorithms.marwil as marwil @@ -65,6 +71,7 @@ def _import_sac(): "DQN": _import_dqn, "DreamerV3": _import_dreamerv3, "IMPALA": _import_impala, + "IQL": _import_iql, "MARWIL": _import_marwil, "PPO": _import_ppo, "SAC": _import_sac, @@ -78,6 +85,7 @@ def _import_sac(): "DQN": "DQN", "DreamerV3": "DreamerV3", "Impala": "IMPALA", + "IQL": "IQL", "IMPALA": "IMPALA", "MARWIL": "MARWIL", "PPO": "PPO", diff --git a/rllib/algorithms/sac/sac_learner.py b/rllib/algorithms/sac/sac_learner.py index 8046c4c07892..f4108943ad04 100644 --- a/rllib/algorithms/sac/sac_learner.py +++ b/rllib/algorithms/sac/sac_learner.py @@ -49,25 +49,10 @@ def build(self) -> None: # for the alpha already defined. super().build() - def get_target_entropy(module_id): - """Returns the target entropy to use for the loss. - - Args: - module_id: Module ID for which the target entropy should be - returned. - - Returns: - Target entropy. - """ - target_entropy = self.config.get_config_for_module(module_id).target_entropy - if target_entropy is None or target_entropy == "auto": - target_entropy = -np.prod( - self._module_spec.module_specs[module_id].action_space.shape - ) - return target_entropy - self.target_entropy: Dict[ModuleID, TensorType] = LambdaDefaultDict( - lambda module_id: self._get_tensor_variable(get_target_entropy(module_id)) + lambda module_id: self._get_tensor_variable( + self._get_target_entropy(module_id) + ) ) @override(Learner) @@ -80,3 +65,51 @@ def remove_module(self, module_id: ModuleID) -> None: super().remove_module(module_id) self.curr_log_alpha.pop(module_id, None) self.target_entropy.pop(module_id, None) + + @override(Learner) + def add_module( + self, + *, + module_id, + module_spec, + config_overrides=None, + new_should_module_be_updated=None + ): + # First call `super`'s `add_module` method. + super().add_module( + module_id=module_id, + module_spec=module_spec, + config_overrides=config_overrides, + new_should_module_be_updated=new_should_module_be_updated, + ) + # Now add the log alpha. + self.curr_log_alpha[module_id] = self._get_tensor_variable( + # Note, we want to train the temperature parameter. + [ + np.log( + self.config.get_config_for_module(module_id).initial_alpha + ).astype(np.float32) + ], + trainable=True, + ) + # Add also the target entropy for the new module. + self.target_entropy[module_id] = self._get_tensor_variable( + self._get_target_entropy(module_id) + ) + + def _get_target_entropy(self, module_id): + """Returns the target entropy to use for the loss. + + Args: + module_id: Module ID for which the target entropy should be + returned. + + Returns: + Target entropy. + """ + target_entropy = self.config.get_config_for_module(module_id).target_entropy + if target_entropy is None or target_entropy == "auto": + target_entropy = -np.prod( + self._module_spec.module_specs[module_id].action_space.shape + ) + return target_entropy diff --git a/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py b/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py index 3b62e949a9cf..0612dce7c391 100644 --- a/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py +++ b/rllib/algorithms/sac/torch/default_sac_torch_rl_module.py @@ -54,11 +54,8 @@ def _forward_exploration(self, batch: Dict, **kwargs) -> Dict[str, Any]: @override(RLModule) def _forward_train(self, batch: Dict) -> Dict[str, Any]: - if self.inference_only: - raise RuntimeError( - "Trying to train a module that is not a learner module. Set the " - "flag `inference_only=False` when building the module." - ) + # Call the `super`'s `forward_train` + super()._forward_train(batch) if isinstance(self.action_space, gym.spaces.Discrete): return self._forward_train_discrete(batch) elif isinstance(self.action_space, gym.spaces.Box): diff --git a/rllib/tuned_examples/bc/cartpole_bc.py b/rllib/tuned_examples/bc/cartpole_bc.py index 327dbb32fb44..0c0b3630a642 100644 --- a/rllib/tuned_examples/bc/cartpole_bc.py +++ b/rllib/tuned_examples/bc/cartpole_bc.py @@ -51,7 +51,7 @@ # The number of iterations to be run per learner when in multi-learner # mode in a single RLlib training iteration. Leave this to `None` to # run an entire epoch on the dataset during a single RLlib training - # iteration. For single-learner mode, 1 is the only option. + # iteration. dataset_num_iters_per_learner=5, ) .training( diff --git a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py index 326f7712936b..25a6eec32b1e 100644 --- a/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py +++ b/rllib/tuned_examples/bc/cartpole_bc_with_offline_evaluation.py @@ -79,7 +79,7 @@ # The number of iterations to be run per learner when in multi-learner # mode in a single RLlib training iteration. Leave this to `None` to # run an entire epoch on the dataset during a single RLlib training - # iteration. For single-learner mode, 1 is the only option. + # iteration. dataset_num_iters_per_learner=5, ) .training( diff --git a/rllib/tuned_examples/cql/pendulum_cql.py b/rllib/tuned_examples/cql/pendulum_cql.py index 74526cd23153..391e7a7376d0 100644 --- a/rllib/tuned_examples/cql/pendulum_cql.py +++ b/rllib/tuned_examples/cql/pendulum_cql.py @@ -44,7 +44,7 @@ # The number of iterations to be run per learner when in multi-learner # mode in a single RLlib training iteration. Leave this to `None` to # run an entire epoch on the dataset during a single RLlib training - # iteration. For single-learner mode 1 is the only option. + # iteration. dataset_num_iters_per_learner=5, # TODO (sven): Has this any influence in the connectors? actions_in_input_normalized=True, diff --git a/rllib/tuned_examples/iql/pendulum_iql.py b/rllib/tuned_examples/iql/pendulum_iql.py new file mode 100644 index 000000000000..cb56bb6faed5 --- /dev/null +++ b/rllib/tuned_examples/iql/pendulum_iql.py @@ -0,0 +1,90 @@ +from pathlib import Path + +from ray.tune.result import TRAINING_ITERATION +from ray.rllib.algorithms.iql.iql import IQLConfig +from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig +from ray.rllib.utils.metrics import ( + ENV_RUNNER_RESULTS, + EPISODE_RETURN_MEAN, + EVALUATION_RESULTS, +) +from ray.rllib.utils.test_utils import ( + add_rllib_example_script_args, + run_rllib_example_script_experiment, +) + + +parser = add_rllib_example_script_args() +# Use `parser` to add your own custom command line options to this script +# and (if needed) use their values to set up `config` below. +args = parser.parse_args() + +assert ( + args.env == "Pendulum-v1" or args.env is None +), "This tuned example works only with `Pendulum-v1`." + +# Define the data paths. +data_path = "tests/data/pendulum/pendulum-v1_enormous" +base_path = Path(__file__).parents[2] +print(f"base_path={base_path}") +data_path = "local://" / base_path / data_path +print(f"data_path={data_path}") + +# Define the IQL config. +config = ( + IQLConfig() + .environment(env="Pendulum-v1") + .evaluation( + evaluation_interval=3, + evaluation_num_env_runners=1, + evaluation_duration=5, + evaluation_parallel_to_training=True, + ) + # Note, the `input_` argument is the major argument for the + # new offline API. Via the `input_read_method_kwargs` the + # arguments for the `ray.data.Dataset` read method can be + # configured. The read method needs at least as many blocks + # as remote learners. + .offline_data( + input_=[data_path.as_posix()], + # Concurrency defines the number of processes that run the + # `map_batches` transformations. This should be aligned with the + # 'prefetch_batches' argument in 'iter_batches_kwargs'. + map_batches_kwargs={"concurrency": 2, "num_cpus": 2}, + # This data set is small so do not prefetch too many batches and use no + # local shuffle. + iter_batches_kwargs={ + "prefetch_batches": 1, + }, + # The number of iterations to be run per learner when in multi-learner + # mode in a single RLlib training iteration. Leave this to `None` to + # run an entire epoch on the dataset during a single RLlib training + # iteration. + dataset_num_iters_per_learner=5, + ) + .training( + # To increase learning speed with multiple learners, + # increase the learning rates correspondingly. + actor_lr=2.59e-4 * (args.num_learners or 1) ** 0.5, + critic_lr=2.14e-4 * (args.num_learners or 1) ** 0.5, + value_lr=3.7e-5 * (args.num_learners or 1) ** 0.5, + # Smooth Polyak-averaging for the target network. + tau=6e-4, + # Update the target network each training iteration. + target_network_update_freq=1, + train_batch_size_per_learner=1024, + ) + .rl_module( + model_config=DefaultModelConfig( + fcnet_activation="relu", + ), + ) +) + +stop = { + f"{EVALUATION_RESULTS}/{ENV_RUNNER_RESULTS}/{EPISODE_RETURN_MEAN}": -200.0, + TRAINING_ITERATION: 1250, +} + +if __name__ == "__main__": + run_rllib_example_script_experiment(config, args, stop=stop) diff --git a/rllib/tuned_examples/marwil/cartpole_marwil.py b/rllib/tuned_examples/marwil/cartpole_marwil.py index d31836b93960..c758bae0f238 100644 --- a/rllib/tuned_examples/marwil/cartpole_marwil.py +++ b/rllib/tuned_examples/marwil/cartpole_marwil.py @@ -57,7 +57,7 @@ # The number of iterations to be run per learner when in multi-learner # mode in a single RLlib training iteration. Leave this to `None` to # run an entire epoch on the dataset during a single RLlib training - # iteration. For single-learner mode 1 is the only option. + # iteration. dataset_num_iters_per_learner=5, ) .training( From 5e84dd35e846a808f88d6721de1322a773056c61 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 13 Aug 2025 08:09:45 -0700 Subject: [PATCH 0662/1566] [core] Remove raylet ip address (#55492) Removing raylet_ip_address as it was never used (so it defaulted to node_ip_address) and is only use in private APIs. Originally introduced here: https://github.com/ray-project/ray/pull/7985/files --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- cpp/src/ray/util/process_helper.cc | 1 - python/ray/_private/node.py | 27 +++---------------- python/ray/_private/parameter.py | 4 --- python/ray/_private/worker.py | 1 - python/ray/_private/workers/default_worker.py | 4 --- python/ray/_raylet.pyx | 3 +-- .../modules/reporter/tests/test_reporter.py | 4 +-- python/ray/dashboard/tests/test_dashboard.py | 2 +- python/ray/includes/libcoreworker.pxd | 1 - python/ray/tests/test_metrics_agent.py | 4 +-- .../many_nodes_tests/dashboard_test.py | 2 +- src/ray/core_worker/core_worker_options.h | 3 --- .../java/io_ray_runtime_RayNativeRuntime.cc | 1 - src/ray/core_worker/test/core_worker_test.cc | 1 - 14 files changed, 10 insertions(+), 48 deletions(-) diff --git a/cpp/src/ray/util/process_helper.cc b/cpp/src/ray/util/process_helper.cc index 25c691894d78..63c75ffaf24f 100644 --- a/cpp/src/ray/util/process_helper.cc +++ b/cpp/src/ray/util/process_helper.cc @@ -150,7 +150,6 @@ void ProcessHelper::RayStart(CoreWorkerOptions::TaskExecutionCallback callback) options.install_failure_signal_handler = true; options.node_ip_address = node_ip; options.node_manager_port = ConfigInternal::Instance().node_manager_port; - options.raylet_ip_address = node_ip; options.driver_name = "cpp_worker"; options.metrics_agent_port = -1; options.task_execution_callback = callback; diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 3465f995529b..74e13ae883f3 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -211,28 +211,13 @@ def __init__( node_ip_address = ray.util.get_node_ip_address() assert node_ip_address is not None - ray_params.update_if_absent( - node_ip_address=node_ip_address, raylet_ip_address=node_ip_address - ) + ray_params.update_if_absent(node_ip_address=node_ip_address) self._node_ip_address = node_ip_address if not connect_only: ray._private.services.write_node_ip_address( self.get_session_dir_path(), node_ip_address ) - if ray_params.raylet_ip_address: - raylet_ip_address = ray_params.raylet_ip_address - else: - raylet_ip_address = node_ip_address - - if raylet_ip_address != node_ip_address and (not connect_only or head): - raise ValueError( - "The raylet IP address should only be different than the node " - "IP address when connecting to an existing raylet; i.e., when " - "head=False and connect_only=True." - ) - self._raylet_ip_address = raylet_ip_address - self._object_spilling_config = self._get_object_spilling_config() logger.debug( f"Starting node with object spilling config: {self._object_spilling_config}" @@ -272,7 +257,7 @@ def __init__( # from Redis or GCS. node_info = ray._private.services.get_node_to_connect_for_driver( self.gcs_address, - self._raylet_ip_address, + self._node_ip_address, ) self._plasma_store_socket_name = node_info["object_store_socket_name"] self._raylet_socket_name = node_info["raylet_socket_name"] @@ -561,11 +546,6 @@ def node_ip_address(self): """Get the IP address of this node.""" return self._node_ip_address - @property - def raylet_ip_address(self): - """Get the IP address of the raylet that this node connects to.""" - return self._raylet_ip_address - @property def address(self): """Get the address for bootstrapping, e.g. the address to pass to @@ -633,7 +613,7 @@ def runtime_env_agent_port(self): @property def runtime_env_agent_address(self): """Get the address that exposes runtime env agent as http""" - return f"http://{build_address(self._raylet_ip_address, self._runtime_env_agent_port)}" + return f"http://{build_address(self._node_ip_address, self._runtime_env_agent_port)}" @property def dashboard_agent_listen_port(self): @@ -653,7 +633,6 @@ def address_info(self): """Get a dictionary of addresses.""" return { "node_ip_address": self._node_ip_address, - "raylet_ip_address": self._raylet_ip_address, "redis_address": self.redis_address, "object_store_address": self._plasma_store_socket_name, "raylet_socket_name": self._raylet_socket_name, diff --git a/python/ray/_private/parameter.py b/python/ray/_private/parameter.py index eb78bd86f510..60ab5ab9aa81 100644 --- a/python/ray/_private/parameter.py +++ b/python/ray/_private/parameter.py @@ -36,8 +36,6 @@ class RayParams: node_manager_port: The port to use for the node manager. gcs_server_port: The port to use for the GCS server. node_ip_address: The IP address of the node that we are on. - raylet_ip_address: The IP address of the raylet that this node - connects to. min_worker_port: The lowest port number that workers will bind on. If not set or set to 0, random ports will be chosen. max_worker_port: The highest port number that workers will bind @@ -138,7 +136,6 @@ def __init__( gcs_server_port: Optional[int] = None, node_ip_address: Optional[str] = None, node_name: Optional[str] = None, - raylet_ip_address: Optional[str] = None, min_worker_port: Optional[int] = None, max_worker_port: Optional[int] = None, worker_port_list: Optional[List[int]] = None, @@ -196,7 +193,6 @@ def __init__( self.gcs_server_port = gcs_server_port self.node_ip_address = node_ip_address self.node_name = node_name - self.raylet_ip_address = raylet_ip_address self.min_worker_port = min_worker_port self.max_worker_port = max_worker_port self.worker_port_list = worker_port_list diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index e3eeee3f84ad..dacaa9e2ff7f 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -2584,7 +2584,6 @@ def connect( logs_dir, node.node_ip_address, node.node_manager_port, - node.raylet_ip_address, (mode == LOCAL_MODE), driver_name, serialized_job_config, diff --git a/python/ray/_private/workers/default_worker.py b/python/ray/_private/workers/default_worker.py index 9859d9d15f7e..cb6bce0043f6 100644 --- a/python/ray/_private/workers/default_worker.py +++ b/python/ray/_private/workers/default_worker.py @@ -220,12 +220,8 @@ # for asyncio try_install_uvloop() - raylet_ip_address = args.raylet_ip_address - if raylet_ip_address is None: - raylet_ip_address = args.node_ip_address ray_params = RayParams( node_ip_address=args.node_ip_address, - raylet_ip_address=raylet_ip_address, node_manager_port=args.node_manager_port, redis_address=args.redis_address, redis_username=args.redis_username, diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index e51d12958700..db0abd516ed7 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2973,7 +2973,7 @@ cdef class CoreWorker: def __cinit__(self, worker_type, store_socket, raylet_socket, JobID job_id, GcsClientOptions gcs_options, log_dir, - node_ip_address, node_manager_port, raylet_ip_address, + node_ip_address, node_manager_port, local_mode, driver_name, serialized_job_config, metrics_agent_port, runtime_env_hash, startup_token, session_name, cluster_id, entrypoint, @@ -3007,7 +3007,6 @@ cdef class CoreWorker: options.interactive = hasattr(sys, "ps1") options.node_ip_address = node_ip_address.encode("utf-8") options.node_manager_port = node_manager_port - options.raylet_ip_address = raylet_ip_address.encode("utf-8") options.driver_name = driver_name options.initialize_thread_callback = initialize_pygilstate_for_thread options.task_execution_callback = task_execution_handler diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 28820f370965..1c4ee8a0f8d0 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -217,7 +217,7 @@ def test_prometheus_physical_stats_record( ): addresses = ray.init(include_dashboard=True, num_cpus=1) metrics_export_port = addresses["metrics_export_port"] - addr = addresses["raylet_ip_address"] + addr = addresses["node_ip_address"] prom_addresses = [build_address(addr, metrics_export_port)] def test_case_stats_exist(): @@ -284,7 +284,7 @@ def test_case_ip_correct(): def test_prometheus_export_worker_and_memory_stats(enable_test_module, shutdown_only): addresses = ray.init(include_dashboard=True, num_cpus=1) metrics_export_port = addresses["metrics_export_port"] - addr = addresses["raylet_ip_address"] + addr = addresses["node_ip_address"] prom_addresses = [build_address(addr, metrics_export_port)] @ray.remote diff --git a/python/ray/dashboard/tests/test_dashboard.py b/python/ray/dashboard/tests/test_dashboard.py index 43afbe941b26..1f7036651465 100644 --- a/python/ray/dashboard/tests/test_dashboard.py +++ b/python/ray/dashboard/tests/test_dashboard.py @@ -1315,7 +1315,7 @@ async def make_blocking_call(): await asyncio.gather(*tasks) # Fetch the metrics from the dashboard. - addr = ray_context["raylet_ip_address"] + addr = ray_context["node_ip_address"] prom_addresses = [build_address(addr, dashboard_consts.DASHBOARD_METRIC_PORT)] def check_lag_metrics(): diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 0d7b4fe68559..88f7252a3a8a 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -379,7 +379,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: c_bool interactive c_string node_ip_address int node_manager_port - c_string raylet_ip_address c_string driver_name (CRayStatus( const CAddress &caller_address, diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index b7494f52dc43..2021c97ef36c 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -422,7 +422,7 @@ def test_metrics_export_node_metrics(shutdown_only): # Verify node metrics are available. addr = ray.init() dashboard_export_addr = build_address( - addr["raylet_ip_address"], DASHBOARD_METRIC_PORT + addr["node_ip_address"], DASHBOARD_METRIC_PORT ) def verify_node_metrics(): @@ -494,7 +494,7 @@ def test_metrics_export_event_aggregator_agent( httpserver.expect_request("/", method="POST").respond_with_data("", status=200) metrics_export_port = cluster.head_node.metrics_export_port - addr = cluster.head_node.raylet_ip_address + addr = cluster.head_node.node_ip_address prom_addresses = [build_address(addr, metrics_export_port)] def test_case_stats_exist(): diff --git a/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py b/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py index 98323ed95c45..03a1fb287d1a 100644 --- a/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py +++ b/release/benchmarks/distributed/many_nodes_tests/dashboard_test.py @@ -126,7 +126,7 @@ def get_result(self): # Get the memory usage. dashboard_export_addr = build_address( - self.addr["raylet_ip_address"], DASHBOARD_METRIC_PORT + self.addr["node_ip_address"], DASHBOARD_METRIC_PORT ) metrics = fetch_prometheus_metrics([dashboard_export_addr]) memories = [] diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 72c108d759bb..4eee61e4d75a 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -83,7 +83,6 @@ struct CoreWorkerOptions { interactive(false), node_ip_address(""), node_manager_port(0), - raylet_ip_address(""), driver_name(""), task_execution_callback(nullptr), free_actor_object_callback(nullptr), @@ -135,8 +134,6 @@ struct CoreWorkerOptions { std::string node_ip_address; /// Port of the local raylet. int node_manager_port; - /// IP address of the raylet. - std::string raylet_ip_address; /// The name of the driver. std::string driver_name; /// Application-language worker callback to execute tasks. diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc index 40cac1dc9ecc..739bc6e5f63e 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc @@ -299,7 +299,6 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, options.install_failure_signal_handler = false; options.node_ip_address = JavaStringToNativeString(env, nodeIpAddress); options.node_manager_port = static_cast(nodeManagerPort); - options.raylet_ip_address = JavaStringToNativeString(env, nodeIpAddress); options.driver_name = JavaStringToNativeString(env, driverName); options.task_execution_callback = task_execution_callback; options.gc_collect = gc_collect; diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc index d364a6b006a5..bf45ffa279ef 100644 --- a/src/ray/core_worker/test/core_worker_test.cc +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -58,7 +58,6 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { options.worker_type = WorkerType::WORKER; options.language = Language::PYTHON; options.node_ip_address = "127.0.0.1"; - options.raylet_ip_address = "127.0.0.1"; options.task_execution_callback = [](const rpc::Address &caller_address, TaskType task_type, From 081ec0bf2972dfa74cbdd75c7a6405d5639a8ded Mon Sep 17 00:00:00 2001 From: William Lin Date: Wed, 13 Aug 2025 08:36:19 -0700 Subject: [PATCH 0663/1566] [core] Add return type to ActorClass.options (#55563) Currently the following pattern throws many lint errors as `ActorDemoRay.options(name="demo_ray")` returns an instance of `ActorOptionWrapper` which messes with the IDE's static type checker: ```python import ray from ray import ObjectRef from ray.actor import ActorProxy, ActorClass class DemoRay: def __init__(self, init: int): self.init = init @ray.method def calculate(self, v1: int, v2: int) -> int: return self.init + v1 + v2 ActorDemoRay: ActorClass[DemoRay] = ray.remote(DemoRay) def main(): p: ActorProxy[DemoRay] = ActorDemoRay.options(name="demo_ray").remote(1) actor: ActorProxy[DemoRay] = ray.get_actor("demo_ray") a = actor.calculate.remote(1, 2) print(ray.get(a)) return if __name__ == "__main__": main() ``` This PR changes ActorClass[T].options(...) to return a new instance of ActorClass[T] instead, allow IDEs to correct infer the type of subsequent `.remote(...)` calls https://github.com/ray-project/ray/issues/54149 --------- Signed-off-by: will.lin Signed-off-by: Douglas Strodtman --- python/ray/actor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/actor.py b/python/ray/actor.py index f2a00efe5deb..fba4a4d39bb2 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -1296,7 +1296,7 @@ def remote(self, *args, **kwargs) -> ActorProxy[T]: """ return self._remote(args=args, kwargs=kwargs, **self._default_options) - def options(self, **actor_options): + def options(self, **actor_options) -> "ActorClass[T]": """Configures and overrides the actor instantiation parameters. The arguments are the same as those that can be passed From a9f219c51c777bbba9e99b0baddf9facd5a99c7a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 13 Aug 2025 10:51:07 -0700 Subject: [PATCH 0664/1566] [release test] remove release image build step from postmerge (#55564) they should be always building from release test pipeline directly we used to run release tests on postmerge; we are no longer doing it any more. also add oss tag for those steps. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/build.rayci.yml | 5 ++--- .buildkite/releasebuild.rayci.yml | 1 - 2 files changed, 2 insertions(+), 4 deletions(-) delete mode 120000 .buildkite/releasebuild.rayci.yml diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index f7fdc95375a9..f734ac593361 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -1,7 +1,8 @@ group: release build +tags: + - oss steps: - label: ":tapioca: build: anyscale py{{matrix.python}}-{{matrix.platform}} docker" - tags: skip-on-premerge key: anyscalebuild instance_type: release-medium commands: @@ -26,7 +27,6 @@ steps: - cpu - label: ":tapioca: build: anyscale-llm py{{matrix}} docker" - tags: skip-on-premerge key: anyscalellmbuild instance_type: release-medium commands: @@ -40,7 +40,6 @@ steps: - "3.11" - label: ":tapioca: build: anyscale-ml py{{matrix}} docker" - tags: skip-on-premerge key: anyscalemlbuild instance_type: release-medium commands: diff --git a/.buildkite/releasebuild.rayci.yml b/.buildkite/releasebuild.rayci.yml deleted file mode 120000 index d0497f6db89d..000000000000 --- a/.buildkite/releasebuild.rayci.yml +++ /dev/null @@ -1 +0,0 @@ -release/build.rayci.yml \ No newline at end of file From 4dae0f27bf674a237de67e9882ff0e5932396578 Mon Sep 17 00:00:00 2001 From: William Lin Date: Wed, 13 Aug 2025 10:55:47 -0700 Subject: [PATCH 0665/1566] [docs] Add documentation for using type hints in Ray Core (#55013) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: will.lin Signed-off-by: Richard Liaw Co-authored-by: Richard Liaw Signed-off-by: Douglas Strodtman --- doc/source/ray-core/advanced-topics.rst | 1 + doc/source/ray-core/type-hint.md | 90 +++++++++++++++++++++++++ 2 files changed, 91 insertions(+) create mode 100644 doc/source/ray-core/type-hint.md diff --git a/doc/source/ray-core/advanced-topics.rst b/doc/source/ray-core/advanced-topics.rst index 7d1344856507..a1e310b96ca5 100644 --- a/doc/source/ray-core/advanced-topics.rst +++ b/doc/source/ray-core/advanced-topics.rst @@ -7,6 +7,7 @@ This section covers extended topics on how to use Ray. :maxdepth: -1 tips-for-first-time + type-hint starting-ray ray-generator namespaces diff --git a/doc/source/ray-core/type-hint.md b/doc/source/ray-core/type-hint.md new file mode 100644 index 000000000000..536271860a61 --- /dev/null +++ b/doc/source/ray-core/type-hint.md @@ -0,0 +1,90 @@ +# Type hints in Ray + +As of Ray 2.48, Ray provides comprehensive support for Python type hints with both remote functions and actors. This enables better IDE support, static type checking, and improved code maintainability in distributed Ray applications. + +## Overview + +In most cases, Ray applications can use type hints without any modifications to existing code. Ray automatically handles type inference for standard remote functions and basic actor usage patterns. For example, remote functions support standard Python type annotations without additional configuration. The `@ray.remote` decorator preserves the original function signature and type information. + +```python +import ray + +@ray.remote +def add_numbers(x: int, y: int) -> int: + return x + y + +# Type hints work seamlessly with remote function calls +a = add_numbers.remote(5, 3) +print(ray.get(a)) +``` + +However, certain patterns, especially when working with actors, require specific approaches to ensure proper type annotation. + +## Pattern 1: Use `ray.remote` as a function to build an actor + +Use the `ray.remote` function directly to create an actor class, instead of using the `@ray.remote` decorator. This will preserve the original class type and allow type inference to work correctly. For example, in this case, the original class type is `DemoRay`, and the actor class type is `ActorClass[DemoRay]`. + +```python +import ray +from ray.actor import ActorClass + +class DemoRay: + def __init__(self, init: int): + self.init = init + + @ray.method + def calculate(self, v1: int, v2: int) -> int: + return self.init + v1 + v2 + +ActorDemoRay: ActorClass[DemoRay] = ray.remote(DemoRay) +# DemoRay is the original class type, ActorDemoRay is the ActorClass[DemoRay] type +``` + +After creating the `ActorClass[DemoRay]` type, we can use it to instantiate an actor by calling `ActorDemoRay.remote(1)`. It returns an `ActorProxy[DemoRay]` type, which represents an actor handle. + +This handle will provide type hints for the actor methods, including their arguments and return types. + +```python + +actor: ActorProxy[DemoRay] = ActorDemoRay.remote(1) + +def func(actor: ActorProxy[DemoRay]) -> int: + b: ObjectRef[int] = actor.calculate.remote(1, 2) + return ray.get(b) + +a = func.remote() +print(ray.get(a)) +``` + +**Why do we need to do this?** + +In Ray, the `@ray.remote` decorator indicates that instances of the class `T` are actors, with each actor running in its own Python process. However, the `@ray.remote` decorator will transform the class `T` into a `ActorClass[T]` type, which is not the original class type. + +Unfortunately, IDE and static type checkers will not be able to infer the original type `T` of the `ActorClass[T]`. To solve this problem, using `ray.remote(T)` will explicitly return a new generic class `ActorClass[T]` type while preserving the original class type. + +## Pattern 2: Use `@ray.method` decorator for remote methods + +Add the `@ray.method` decorator to the actor methods in order to obtain type hints for the remote methods of the actor through `ActorProxy[T]` type, including their arguments and return types. + +```python +from ray.actor import ActorClass, ActorProxy + +class DemoRay: + def __init__(self, init: int): + self.init = init + + @ray.method + def calculate(self, v1: int, v2: int) -> int: + return self.init + v1 + v2 + +ActorDemoRay: ActorClass[DemoRay] = ray.remote(DemoRay) +actor: ActorProxy[DemoRay] = ActorDemoRay.remote(1) +# IDEs will be able to correctly list the remote methods of the actor +# and provide type hints for the arguments and return values of the remote methods +a: ObjectRef[int] = actor.calculate.remote(1, 2) +print(ray.get(a)) +``` + +:::{note} +We would love to make the typing of remote methods work without `@ray.method` decorator. If any community member has an idea, we welcome PRs. +::: From 1920dfb7c44c3063e51ce38ec437d978c5923537 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Wed, 13 Aug 2025 10:57:54 -0700 Subject: [PATCH 0666/1566] [Serve.llm] Add missing data_parallel/__init__.py (#55573) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../ray/llm/_internal/serve/deployments/data_parallel/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 python/ray/llm/_internal/serve/deployments/data_parallel/__init__.py diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/__init__.py b/python/ray/llm/_internal/serve/deployments/data_parallel/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 From 87fa97da0e2d100456f44f162d4d1ccff06bd232 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Wed, 13 Aug 2025 18:09:39 +0000 Subject: [PATCH 0667/1566] [Train] Implement a JaxTrainer to support SPMD with TPUs (#55207) This PR builds off previous efforts to add a `JaxTrainer` and the [ray-tpu package](https://github.com/AI-Hypercomputer/ray-tpu/tree/main) to implement support for a `JaxTrainer` in RayTrain that supports SPMD workloads with TPUs. Support for more types of workloads (i.e. better support for CPU and GPU) can be added incrementally. In order to support SPMD locality-aware scheduling at the TPU slice level, we alter the `WorkerGroup` construction in V2 Ray Train to optionally accept multiple placement groups specs to apply to a range of workers. This enables us to reserve the "TPU head" using a placement group with label selectors, retrieve its unique `ray.io/tpu-slice-name`, and then schedule the remaining workers on that slice in a separate placement group. --------- Signed-off-by: Ryan O'Leary Signed-off-by: Andrew Sy Kim Co-authored-by: Andrew Sy Kim Signed-off-by: Douglas Strodtman --- python/ray/_private/accelerators/tpu.py | 86 ++++++++++ .../ray/_private/resource_and_label_spec.py | 8 +- python/ray/tests/accelerators/test_tpu.py | 72 ++++++++ python/ray/train/v2/BUILD | 16 ++ .../train/v2/_internal/callbacks/__init__.py | 2 + .../callbacks/tpu_reservation_callback.py | 45 +++++ .../train/v2/_internal/execution/callback.py | 23 +++ .../execution/controller/controller.py | 16 ++ .../execution/worker_group/worker_group.py | 10 ++ python/ray/train/v2/api/config.py | 58 ++++++- .../ray/train/v2/api/data_parallel_trainer.py | 3 + python/ray/train/v2/jax/__init__.py | 15 ++ python/ray/train/v2/jax/config.py | 59 +++++++ python/ray/train/v2/jax/jax_trainer.py | 162 ++++++++++++++++++ python/ray/train/v2/tests/test_jax_trainer.py | 137 +++++++++++++++ 15 files changed, 706 insertions(+), 6 deletions(-) create mode 100644 python/ray/train/v2/_internal/callbacks/tpu_reservation_callback.py create mode 100644 python/ray/train/v2/jax/__init__.py create mode 100644 python/ray/train/v2/jax/config.py create mode 100644 python/ray/train/v2/jax/jax_trainer.py create mode 100644 python/ray/train/v2/tests/test_jax_trainer.py diff --git a/python/ray/_private/accelerators/tpu.py b/python/ray/_private/accelerators/tpu.py index c6df2c858779..83da22475879 100644 --- a/python/ray/_private/accelerators/tpu.py +++ b/python/ray/_private/accelerators/tpu.py @@ -9,6 +9,7 @@ import ray from ray._private.accelerators.accelerator import AcceleratorManager +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy logger = logging.getLogger(__name__) @@ -110,6 +111,91 @@ def get_tpu_cores_per_chip(accelerator_type: str) -> int: return DEFAULT_TPU_NUM_CORES_PER_CHIP +def infer_tpu_pod_type_from_topology( + topology: str, accelerator_type: str +) -> Optional[str]: + """Infer the TPU pod type (e.g. v4-32) from topology and accelerator type.""" + try: + num_chips = 1 + for value in topology.strip().lower().split("x"): + num_chips *= int(value) + generation = accelerator_type.lower().replace("tpu-", "") + return f"{generation}-{num_chips}" + except Exception as e: + logger.warning( + f"Failed to infer pod type from topology {topology} and type {accelerator_type}: {e}" + ) + return None + + +def fetch_tpu_slice_name_from_pg(pg): + @ray.remote(num_cpus=0) + def _get_tpu_slice_name(): + return TPUAcceleratorManager.get_current_node_tpu_name() + + tpu_name_ref = _get_tpu_slice_name.options( + scheduling_strategy=PlacementGroupSchedulingStrategy( + placement_group=pg, placement_group_bundle_index=0 + ) + ).remote() + + return ray.get(tpu_name_ref) + + +def reserve_tpu_slice( + topology: str, + accelerator_type: str, +) -> Optional[str]: + """Reserves a TPU slice using its head resource and returns the slice name. + This enables gang scheduling of training workers with multi-host TPUs. + This is used by JaxTrainer with TPUs in Ray Train. + + Args: + topology: The TPU topology string (e.g. "2x2x2"). + accelerator_type: The accelerator type of the node (e.g. "TPU-V4"). + + Returns: + A string representing a unique TPU slice name. + """ + pod_type = infer_tpu_pod_type_from_topology(topology, accelerator_type) + if pod_type is None: + return None + + # Reserve a slice by creating a placement group on the TPU head. + head_label_selector = { + "ray.io/tpu-worker-id": "0", + "ray.io/tpu-pod-type": pod_type, + } + head_placement_group = ray.util.placement_group( + bundles=[{f"TPU-{pod_type}-head": 1}], + bundle_label_selector=[head_label_selector], + ) + + logger.debug("Waiting to reserve multi-host slice head.") + timeout = 100 + ready, _ = ray.wait([head_placement_group.ready()], timeout=timeout) + + if not ready: + raise TimeoutError( + "Failed to reserve TPU head for slice with shape: {}. " + "Ensure your cluster has sufficient resources. Requesting TPU " + "head node with labels: {}. Current resources: {}".format( + pod_type, head_label_selector, ray.available_resources() + ) + ) + + # Retrieve the unique slice ID. + slice_name = fetch_tpu_slice_name_from_pg(head_placement_group) + if slice_name is None: + raise RuntimeError( + "Failed to retrieve TPU slice name after reserving head placement group. " + "Ensure that TPU slice metadata is available and correctly configured on multi-host nodes." + ) + + # TODO: return both the slice name and reference to the PG reservation. + return slice_name + + class TPUAcceleratorManager(AcceleratorManager): """Google TPU accelerators.""" diff --git a/python/ray/_private/resource_and_label_spec.py b/python/ray/_private/resource_and_label_spec.py index 03c8efd0e119..d737b70961da 100644 --- a/python/ray/_private/resource_and_label_spec.py +++ b/python/ray/_private/resource_and_label_spec.py @@ -10,7 +10,6 @@ from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX from ray._private import accelerators from ray._private.accelerators import AcceleratorManager -from ray._private.accelerators.tpu import TPUAcceleratorManager logger = logging.getLogger(__name__) @@ -292,10 +291,11 @@ def _get_default_labels( ray._raylet.RAY_NODE_ACCELERATOR_TYPE_KEY ] = accelerator_type - # Set TPU specific default labels to enable SPMD scheduling. - if isinstance(accelerator_manager, TPUAcceleratorManager): + # Set TPU specific default labels to enable multi-host scheduling. + if accelerator_manager.get_resource_name() == "TPU": tpu_labels = accelerator_manager.get_current_node_accelerator_labels() - default_labels.update(tpu_labels) + if tpu_labels: + default_labels.update(tpu_labels) return default_labels diff --git a/python/ray/tests/accelerators/test_tpu.py b/python/ray/tests/accelerators/test_tpu.py index e0d405f60efd..f13f27ffea80 100644 --- a/python/ray/tests/accelerators/test_tpu.py +++ b/python/ray/tests/accelerators/test_tpu.py @@ -8,6 +8,7 @@ import ray from ray._private.accelerators import TPUAcceleratorManager from ray._private.accelerators import tpu +from ray.tests.conftest import _ray_start_cluster @patch("glob.glob") @@ -353,5 +354,76 @@ def test_get_current_node_tpu_topology_from_metadata(): assert topology == "2x2x4" +@pytest.mark.parametrize( + "topology, accelerator_type, expected_pod_type", + [ + ("2x4", "TPU-V6E", "v6e-8"), + ("2x2x2", "TPU-V4", "v4-8"), + ("2x4x4", "TPU-V3", "v3-32"), + ("4x4", "TPU-V5P", "v5p-16"), + ("8x16", "TPU-V6E", "v6e-128"), + ("", "TPU-V3", None), + ("4x", "TPU-V3", None), + ], +) +def test_infer_tpu_pod_type_from_topology( + topology, accelerator_type, expected_pod_type +): + assert ( + tpu.infer_tpu_pod_type_from_topology(topology, accelerator_type) + == expected_pod_type + ) + + +@pytest.fixture +def ray_start_cpu(): + address_info = ray.init(num_cpus=1) + yield address_info + ray.shutdown() + + +@pytest.fixture +def ray_tpu_cluster(monkeypatch): + """Start a mock TPU Ray cluster.""" + with _ray_start_cluster() as cluster: + monkeypatch.setenv("TPU_NAME", "test-slice-0") + monkeypatch.setenv("TPU_WORKER_ID", "0") + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v4-8") + monkeypatch.setenv("TPU_TOPOLOGY", "2x2x2") + + cluster.add_node( + num_cpus=2, + resources={"TPU": 4, "TPU-v4-8-head": 1}, + ) + monkeypatch.setenv("TPU_WORKER_ID", "1") + cluster.add_node( + num_cpus=2, + resources={"TPU": 4}, + ) + ray.init(address=cluster.address) + + yield cluster + ray.shutdown() + + +def test_fetch_tpu_slice_name_from_pg(ray_tpu_cluster): + """Tests that the slice name can be fetched from a PG.""" + tpu_head_pg = ray.util.placement_group(bundles=[{"TPU-v4-8-head": 1}]) + ray.get(tpu_head_pg.ready()) + + tpu_slice_name = "test-slice-0" + slice_name = tpu.fetch_tpu_slice_name_from_pg(tpu_head_pg) + assert slice_name == tpu_slice_name + + ray.util.remove_placement_group(tpu_head_pg) + + +def test_reserve_tpu_slice(ray_tpu_cluster): + """Tests that a TPU slice can be successfully reserved.""" + tpu_slice_name = "test-slice-0" + reserved_name = tpu.reserve_tpu_slice(topology="2x2x2", accelerator_type="TPU-V4") + assert reserved_name == tpu_slice_name + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index 31bab21afc44..8b0128a3a15d 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -133,6 +133,22 @@ py_test( ], ) +py_test( + name = "test_jax_trainer", + size = "small", + srcs = ["tests/test_jax_trainer.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_lightgbm_trainer", size = "small", diff --git a/python/ray/train/v2/_internal/callbacks/__init__.py b/python/ray/train/v2/_internal/callbacks/__init__.py index 5c5b204acdcf..3db8d835fba3 100644 --- a/python/ray/train/v2/_internal/callbacks/__init__.py +++ b/python/ray/train/v2/_internal/callbacks/__init__.py @@ -2,6 +2,7 @@ from .backend_setup import BackendSetupCallback from .datasets import DatasetsSetupCallback from .state_manager import StateManagerCallback +from .tpu_reservation_callback import TPUReservationCallback from .working_dir_setup import WorkingDirectorySetupCallback __all__ = [ @@ -9,6 +10,7 @@ "BackendSetupCallback", "DatasetsSetupCallback", "StateManagerCallback", + "TPUReservationCallback", "WorkingDirectorySetupCallback", ] diff --git a/python/ray/train/v2/_internal/callbacks/tpu_reservation_callback.py b/python/ray/train/v2/_internal/callbacks/tpu_reservation_callback.py new file mode 100644 index 000000000000..acb7b70847ea --- /dev/null +++ b/python/ray/train/v2/_internal/callbacks/tpu_reservation_callback.py @@ -0,0 +1,45 @@ +from typing import Dict, Optional + +import ray +from ray._private.accelerators.tpu import reserve_tpu_slice +from ray.train.v2._internal.execution.callback import ControllerCallback +from ray.train.v2.api.config import ScalingConfig + + +class TPUReservationCallback(ControllerCallback): + """A callback to handle TPU slice reservation for multi-host training.""" + + def on_controller_start_worker_group( + self, *, scaling_config: ScalingConfig, num_workers: int + ) -> Optional[Dict[str, str]]: + """Reserves a multi-host TPU slice before the worker group starts. + + This hook is called by the TrainController. It checks if multi-host + TPUs are being used and, if so, reserves a slice. + + Args: + scaling_config: The scaling configuration for the run. + num_workers: The number of workers to be started. + + Returns: + A dictionary defining a `bundle_label_selector` to gang schedule + the worker group on the reserved TPU slice. + """ + bundle_label_selector = None + + if scaling_config.use_tpu and num_workers > 1: + assert scaling_config.accelerator_type is not None + assert scaling_config.topology is not None + + slice_name = reserve_tpu_slice( + topology=scaling_config.topology, + accelerator_type=scaling_config.accelerator_type, + ) + if not slice_name: + raise RuntimeError("Failed to reserve TPU slice.") + + bundle_label_selector = { + ray._raylet.RAY_NODE_TPU_SLICE_NAME_KEY: slice_name + } + + return bundle_label_selector diff --git a/python/ray/train/v2/_internal/execution/callback.py b/python/ray/train/v2/_internal/execution/callback.py index 50796a0700c8..f5cfd3584f79 100644 --- a/python/ray/train/v2/_internal/execution/callback.py +++ b/python/ray/train/v2/_internal/execution/callback.py @@ -2,6 +2,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional from ray.train.v2.api.callback import RayTrainCallback +from ray.train.v2.api.config import ScalingConfig from ray.train.v2.api.result import Result from ray.util.annotations import DeveloperAPI @@ -78,6 +79,28 @@ def after_controller_start(self, train_run_context: "TrainRunContext"): before the control loop starts executing.""" pass + # TODO(matthewdeng): Revisit this callback interface for better extensibility. + # This hook was added for the specific use case of setting a `bundle_label_selector` + # for new worker groups (e.g., for TPU reservations). The current interface is + # tightly coupled to this purpose and limits its reuse for other use-cases. + def on_controller_start_worker_group( + self, *, scaling_config: ScalingConfig, num_workers: int + ) -> Optional[Dict[str, str]]: + """Called by the TrainController before the worker group is started. + + This hook can be used to perform setup that modifies the worker group's + placement, such as reserving an accelerator slice. + + Args: + scaling_config: The scaling configuration for the run. + num_workers: The number of workers to be started. + + Returns: + An optional dictionary defining a `bundle_label_selector` + to gang schedule the worker group on the reserved TPU slice. + """ + return None + def before_controller_shutdown(self): """Called before `TrainController.run` exits, after the control loop has exited.""" diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index e2f916d140a4..59d3760bb503 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -280,12 +280,28 @@ def _start_worker_group( ControllerError if the worker group failed to start. """ placement_strategy = self._scaling_policy.scaling_config.placement_strategy + scaling_config = self._train_run_context.scaling_config + + # Check for `bundle_label_selector` to influence WorkerGroup scheduling. + bundle_label_selector = None + try: + for callback in self._controller_callbacks: + selector = callback.on_controller_start_worker_group( + scaling_config=scaling_config, num_workers=num_workers + ) + if selector: + bundle_label_selector = selector + break + except Exception as e: + return ControllerError(e) + worker_group_context = WorkerGroupContext( run_attempt_id=self._get_run_attempt_id(), train_fn_ref=self._train_fn_ref, num_workers=num_workers, resources_per_worker=resources_per_worker, placement_strategy=placement_strategy, + bundle_label_selector=bundle_label_selector, ) try: self._worker_group = self.worker_group_cls.create( diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index 8931145ecdbb..81087c0f91c7 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -89,6 +89,7 @@ class WorkerGroupContext: num_workers: The number of workers in the worker group. resources_per_worker: The resources per worker. placement_strategy: Strategy for placing workers. + bundle_label_selector: Optional label selectors to apply per-bundle for workers. """ run_attempt_id: str @@ -96,6 +97,7 @@ class WorkerGroupContext: num_workers: int resources_per_worker: Dict[str, float] placement_strategy: str = "PACK" + bundle_label_selector: Optional[Dict[str, str]] = None class WorkerGroup: @@ -268,10 +270,18 @@ def _start_impl( for callback in self._callbacks: callback.before_worker_group_start(worker_group_context) + bundle_label_selector = ( + [worker_group_context.bundle_label_selector.copy()] + * worker_group_context.num_workers + if worker_group_context.bundle_label_selector + else None + ) + pg = placement_group( bundles=[worker_group_context.resources_per_worker] * worker_group_context.num_workers, strategy=worker_group_context.placement_strategy, + bundle_label_selector=bundle_label_selector, ) logger.info( f"Attempting to start training worker group of size {worker_group_context.num_workers} with " diff --git a/python/ray/train/v2/api/config.py b/python/ray/train/v2/api/config.py index 4efc25a2960c..665b3998cf70 100644 --- a/python/ray/train/v2/api/config.py +++ b/python/ray/train/v2/api/config.py @@ -22,7 +22,6 @@ if TYPE_CHECKING: from ray.train import UserCallback - logger = logging.getLogger(__name__) @@ -51,7 +50,17 @@ class ScalingConfig(ScalingConfigV1): of accelerators. See :ref:`the available accelerator types `. Ensure that your cluster has instances with the specified accelerator type - or is able to autoscale to fulfill the request. + or is able to autoscale to fulfill the request. This field is required + when `use_tpu` is True and `num_workers` is greater than 1. + use_tpu: [Experimental] If True, training will be done on TPUs (1 TPU VM + per worker). Defaults to False. The number of TPUs reserved by each + worker can be overridden with the ``resources_per_worker`` + argument. This arg enables SPMD execution of the training workload. + topology: [Experimental] If specified, Ray Train will launch the training + coordinator and workers on nodes with the specified topology. Topology is + auto-detected for TPUs and added as Ray node labels. This arg enables + SPMD execution of the training workload. This field is required + when `use_tpu` is True and `num_workers` is greater than 1. Example: @@ -73,17 +82,62 @@ class ScalingConfig(ScalingConfigV1): """ trainer_resources: Optional[dict] = None + use_tpu: Union[bool] = False + topology: Optional[str] = None def __post_init__(self): if self.trainer_resources is not None: raise DeprecationWarning(TRAINER_RESOURCES_DEPRECATION_MESSAGE) + if self.use_gpu and self.use_tpu: + raise ValueError("Cannot specify both `use_gpu=True` and `use_tpu=True`.") + + if not self.use_tpu and self.num_tpus_per_worker > 0: + raise ValueError( + "`use_tpu` is False but `TPU` was found in " + "`resources_per_worker`. Either set `use_tpu` to True or " + "remove `TPU` from `resources_per_worker." + ) + + if self.use_tpu and self.num_tpus_per_worker == 0: + raise ValueError( + "`use_tpu` is True but `TPU` is set to 0 in " + "`resources_per_worker`. Either set `use_tpu` to False or " + "request a positive number of `TPU` in " + "`resources_per_worker." + ) + + if self.use_tpu and self.num_workers > 1: + if not self.topology: + raise ValueError( + "`topology` must be specified in ScalingConfig when `use_tpu=True` " + " and `num_workers` > 1." + ) + if not self.accelerator_type: + raise ValueError( + "`accelerator_type` must be specified in ScalingConfig when " + "`use_tpu=True` and `num_workers` > 1." + ) + super().__post_init__() + @property + def _resources_per_worker_not_none(self): + if self.resources_per_worker is None: + if self.use_tpu: + return {"TPU": 1} + + return super()._resources_per_worker_not_none + @property def _trainer_resources_not_none(self): return {} + @property + def num_tpus_per_worker(self): + """The number of TPUs to set per worker.""" + return self._resources_per_worker_not_none.get("TPU", 0) + @dataclass class FailureConfig(FailureConfigV1): diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 40fede922b90..369d8762e87d 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -27,6 +27,7 @@ AcceleratorSetupCallback, BackendSetupCallback, DatasetsSetupCallback, + TPUReservationCallback, WorkingDirectorySetupCallback, ) from ray.train.v2._internal.callbacks.datasets import GenDataset @@ -154,9 +155,11 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: data_config=self.data_config, scaling_config=self.scaling_config, ) + tpu_reservation_setup_callback = TPUReservationCallback() callbacks.extend( [ accelerator_setup_callback, + tpu_reservation_setup_callback, backend_setup_callback, datasets_setup_callback, ] diff --git a/python/ray/train/v2/jax/__init__.py b/python/ray/train/v2/jax/__init__.py new file mode 100644 index 000000000000..097ee852b783 --- /dev/null +++ b/python/ray/train/v2/jax/__init__.py @@ -0,0 +1,15 @@ +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + try: + import jax # noqa: F401 + except ModuleNotFoundError as exception: + raise ModuleNotFoundError( + "Jax isn't installed. To install Jax, please check" + " `https://github.com/google/jax#installation` for the instructions." + ) from exception + +from ray.train.v2.jax.config import JaxConfig +from ray.train.v2.jax.jax_trainer import JaxTrainer + +__all__ = ["JaxConfig", "JaxTrainer"] diff --git a/python/ray/train/v2/jax/config.py b/python/ray/train/v2/jax/config.py new file mode 100644 index 000000000000..5e8dc5ba33e4 --- /dev/null +++ b/python/ray/train/v2/jax/config.py @@ -0,0 +1,59 @@ +import logging +import os +from dataclasses import dataclass + +import ray +from ray.train._internal.utils import get_address_and_port +from ray.train._internal.worker_group import WorkerGroup +from ray.train.backend import Backend, BackendConfig +from ray.util import PublicAPI + +logger = logging.getLogger(__name__) + + +@PublicAPI(stability="alpha") +@dataclass +class JaxConfig(BackendConfig): + use_tpu: bool = False + + @property + def backend_cls(self): + return _JaxBackend + + +def _setup_jax_tpu_environment( + master_addr_with_port: str, num_workers: int, index: int +): + """Set up distributed Jax training information. + + This function should be called on each worker. + """ + import jax + + jax_platforms = os.environ.get("JAX_PLATFORMS", "").lower() + + if "tpu" in jax_platforms.split(","): + jax.distributed.initialize(master_addr_with_port, num_workers, index) + + +class _JaxBackend(Backend): + def on_start(self, worker_group: WorkerGroup, backend_config: JaxConfig): + if not backend_config.use_tpu: + return + + master_addr, master_port = worker_group.execute_single(0, get_address_and_port) + master_addr_with_port = f"{master_addr}:{master_port}" + + # Get setup tasks in order to throw errors on failure. + setup_futures = [] + for i in range(len(worker_group)): + setup_futures.append( + worker_group.execute_single_async( + i, + _setup_jax_tpu_environment, + master_addr_with_port=master_addr_with_port, + num_workers=len(worker_group), + index=i, + ) + ) + ray.get(setup_futures) diff --git a/python/ray/train/v2/jax/jax_trainer.py b/python/ray/train/v2/jax/jax_trainer.py new file mode 100644 index 000000000000..f1845d8d50ff --- /dev/null +++ b/python/ray/train/v2/jax/jax_trainer.py @@ -0,0 +1,162 @@ +import logging +from typing import TYPE_CHECKING, Callable, Dict, Optional, Union + +from ray.air._internal.config import ensure_only_allowed_dataclass_keys_updated +from ray.train import Checkpoint, DataConfig +from ray.train.trainer import GenDataset +from ray.train.v2.api.config import RunConfig, ScalingConfig +from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer +from ray.train.v2.jax.config import JaxConfig +from ray.util import PublicAPI + +if TYPE_CHECKING: + pass + +logger = logging.getLogger(__name__) + + +@PublicAPI(stability="alpha") +class JaxTrainer(DataParallelTrainer): + """A Trainer for Single-Program Multi-Data (SPMD) JAX training. + Currently only supports TPUs. GPUs will be supported in a future version. + + This Trainer runs the function ``train_loop_per_worker`` on multiple Ray + Actors. These actors are expected to be scheduled on TPU VMs within the same + TPU slice, connected via inter-chip interconnects (ICI). The ``train_loop_per_worker`` + function is expected to take in either 0 or 1 arguments: + + .. testcode:: + + import os + from absl import app + import logging + from typing import Sequence + + import ray + from ray.train.v2.api.config import ScalingConfig, RunConfig + from ray.train.v2.jax import JaxTrainer + from MaxText.train import main as maxtext_main + + def train_loop_per_worker(config): + argv = config["argv"] + maxtext_main(argv) + + def main(argv: Sequence[str]): + ray.init() + + trainer = JaxTrainer( + train_loop_per_worker=train_loop_per_worker, + train_loop_config={"argv": absolute_argv}, + scaling_config=ScalingConfig( + use_tpu=True, + num_workers=4, + topology="4x4", + accelerator_type="TPU-V6E", + resources_per_worker={"TPU": 4}, + placement_strategy="SPREAD", + ), + run_config=RunConfig( + name="maxtext_jaxtrainer", + worker_runtime_env={ + "env_vars": { + "JAX_PLATFORMS": "tpu", + "ENABLE_PJRT_COMPATIBILITY": "true", + "TPU_SLICE_BUILDER_DUMP_CHIP_FORCE": "true", + "TPU_SLICE_BUILDER_DUMP_ICI": "true", + "XLA_FLAGS": "--xla_dump_to=/tmp/xla_dump_file --xla_dump_hlo_as_proto", + } + }, + ), + ) + + result = trainer.fit() + + .. testoutput:: + :options: +ELLIPSIS + :hide: + + If ``train_loop_per_worker`` accepts an argument, then + ``train_loop_config`` will be passed in as the argument. + + If the ``datasets`` dict contains a training dataset (denoted by + the "train" key), then it will be split into multiple dataset + shards that can then be accessed by ``session.get_dataset_shard("train")``. + + Note: + * Only TPU-based distributed training is supported. + * Each worker must be assigned one TPU device via + ``resources_per_worker={"TPU": 1}``. + * Placement strategy is automatically set to ``SPREAD`` to ensure + TPU workers are placed on separate VMs. + * Importing `jax` should occur within `train_loop_per_worker` to + avoid driver-side TPU lock issues. + + Args: + train_loop_per_worker: The training function to execute on each worker. + This function can either take in zero arguments or a single ``Dict`` + argument which is set by defining ``train_loop_config``. + Within this function you can use any of the + :ref:`Ray Train Loop utilities `. + train_loop_config: A configuration ``Dict`` to pass in as an argument to + ``train_loop_per_worker``. + This is typically used for specifying hyperparameters. Passing large + datasets via `train_loop_config` is not recommended and may introduce + large overhead and unknown issues with serialization and deserialization. + jax_config: The configuration for setting up the JAX backend. + If set to None, a default configuration with TPUs will be used. + scaling_config: Configuration for how to scale data parallel training + with SPMD. ``num_workers`` should be set to the number of TPU hosts + and ``topology`` should be set to the TPU topology. + See :class:`~ray.train.ScalingConfig` for more info. + dataset_config: The configuration for ingesting the input ``datasets``. + By default, all the Ray Dataset are split equally across workers. + See :class:`~ray.train.DataConfig` for more details. + run_config: The configuration for the execution of the training run. + See :class:`~ray.train.RunConfig` for more info. + datasets: The Ray Datasets to ingest for training. + Datasets are keyed by name (``{name: dataset}``). + Each dataset can be accessed from within the ``train_loop_per_worker`` + by calling ``ray.train.get_dataset_shard(name)``. + Sharding and additional configuration can be done by + passing in a ``dataset_config``. + resume_from_checkpoint: A checkpoint to resume training from. + This checkpoint can be accessed from within ``train_loop_per_worker`` + by calling ``ray.train.get_checkpoint()``. + """ + + def __init__( + self, + train_loop_per_worker: Union[Callable[[], None], Callable[[Dict], None]], + *, + train_loop_config: Optional[Dict] = None, + jax_config: Optional[JaxConfig] = None, + scaling_config: Optional[ScalingConfig] = None, + dataset_config: Optional[Dict[str, DataConfig]] = None, + run_config: Optional[RunConfig] = None, + datasets: Optional[Dict[str, GenDataset]] = None, + resume_from_checkpoint: Optional[Checkpoint] = None, + ): + if not jax_config: + jax_config = JaxConfig( + use_tpu=scaling_config.use_tpu, + ) + super(JaxTrainer, self).__init__( + train_loop_per_worker=train_loop_per_worker, + train_loop_config=train_loop_config, + backend_config=jax_config, + scaling_config=scaling_config, + dataset_config=dataset_config, + run_config=run_config, + datasets=datasets, + resume_from_checkpoint=resume_from_checkpoint, + ) + + @classmethod + def _validate_scaling_config(cls, scaling_config: ScalingConfig) -> ScalingConfig: + """Return scaling config dataclass after validating updated keys.""" + ensure_only_allowed_dataclass_keys_updated( + dataclass=scaling_config, + allowed_keys=cls._scaling_config_allowed_keys, + ) + + return scaling_config diff --git a/python/ray/train/v2/tests/test_jax_trainer.py b/python/ray/train/v2/tests/test_jax_trainer.py new file mode 100644 index 000000000000..a6449577181b --- /dev/null +++ b/python/ray/train/v2/tests/test_jax_trainer.py @@ -0,0 +1,137 @@ +import pytest + +import ray +from ray.tests.conftest import _ray_start_cluster +from ray.train.v2._internal.constants import HEALTH_CHECK_INTERVAL_S_ENV_VAR +from ray.train.v2.api.config import RunConfig, ScalingConfig +from ray.train.v2.jax import JaxTrainer + + +@pytest.fixture +def ray_tpu_single_host(monkeypatch): + """Start a mock single-host TPU Ray cluster with 2x4 v6e (8 chips per host).""" + with _ray_start_cluster() as cluster: + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v6e-8") + + # Simulate one node with 8 TPU chips. + cluster.add_node( + num_cpus=4, + resources={"TPU": 8}, + ) + + ray.init(address=cluster.address) + + yield cluster + ray.shutdown() + + +@pytest.fixture +def ray_tpu_multi_host(monkeypatch): + """Start a simulated multi-host TPU Ray cluster.""" + with _ray_start_cluster() as cluster: + monkeypatch.setenv("TPU_NAME", "test-slice-1") + monkeypatch.setenv("TPU_WORKER_ID", "0") + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v4-8") + monkeypatch.setenv("TPU_TOPOLOGY", "2x2x2") + + cluster.add_node( + num_cpus=2, + resources={"TPU": 4, "TPU-v4-8-head": 1}, + ) + monkeypatch.setenv("TPU_WORKER_ID", "1") + cluster.add_node( + num_cpus=2, + resources={"TPU": 4}, + ) + + ray.init(address=cluster.address) + + yield cluster + ray.shutdown() + + +@pytest.fixture(autouse=True) +def reduce_health_check_interval(monkeypatch): + monkeypatch.setenv(HEALTH_CHECK_INTERVAL_S_ENV_VAR, "0.2") + yield + + +def train_func(): + import jax + + from ray import train + + devices = jax.devices() + print(f"Devices on this worker: {devices}") + train.report({"result": [str(d) for d in devices]}) + + +def test_minimal_singlehost(ray_tpu_single_host, tmp_path): + trainer = JaxTrainer( + train_loop_per_worker=train_func, + # Topology can be omitted for single-host. + scaling_config=ScalingConfig( + num_workers=1, + resources_per_worker={"TPU": 8}, + use_tpu=True, + accelerator_type="TPU-V6E", + ), + run_config=RunConfig( + storage_path=str(tmp_path), + worker_runtime_env={ + "pip": ["jax"], + "env_vars": { + "JAX_PLATFORMS": "cpu", + }, + }, + ), + ) + result = trainer.fit() + assert result.error is None + + # Check that exactly 1 TPU node was used. + nodes = ray.nodes() + labeled_nodes = [ + node for node in nodes if node["Alive"] and node["Resources"].get("TPU") == 8 + ] + assert len(labeled_nodes) == 1 + + +def test_minimal_multihost(ray_tpu_multi_host, tmp_path): + trainer = JaxTrainer( + train_loop_per_worker=train_func, + scaling_config=ScalingConfig( + num_workers=2, + resources_per_worker={"TPU": 4}, + use_tpu=True, + topology="2x2x2", + accelerator_type="TPU-V4", + ), + run_config=RunConfig( + storage_path=str(tmp_path), + worker_runtime_env={ + "pip": ["jax"], + "env_vars": { + "JAX_PLATFORMS": "cpu", + }, + }, + ), + ) + result = trainer.fit() + assert result.error is None + + # Check that multi-host slice was scheduled atomically. + nodes = ray.nodes() + slice_label = "test-slice-1" + labeled_nodes = [ + node + for node in nodes + if node["Alive"] and node["Labels"].get("ray.io/tpu-slice-name") == slice_label + ] + assert len(labeled_nodes) == 2 + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) From 7423301effc8ab518c8556c86ca0f381cf503d20 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 13 Aug 2025 14:32:25 -0400 Subject: [PATCH 0668/1566] [Data] Fixing `AutoscalingActorPool` to properly downscale upon completion of the execution (#55565) ## Why are these changes needed? In 2.48 change introduced debouncing handling that disallows downscaling for Actor Pool for 30s after latest upscaling to give AP Operator enough time to start utilizing upscaled actor. However, that affected ability of the Actor Pool to downscale upon completion of the execution: when operator completes execution it should start downscaling immediately. This change addresses that. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../autoscaler/autoscaling_actor_pool.py | 7 +++-- .../autoscaler/default_autoscaler.py | 2 +- .../operators/actor_pool_map_operator.py | 26 +++++++++---------- .../tests/test_actor_pool_map_operator.py | 7 ++++- python/ray/data/tests/test_autoscaler.py | 8 ++++-- 5 files changed, 31 insertions(+), 19 deletions(-) diff --git a/python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py b/python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py index 57bd47932b20..97d4dc589a18 100644 --- a/python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py +++ b/python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py @@ -10,6 +10,7 @@ class ActorPoolScalingRequest: delta: int + force: bool = field(default=False) reason: Optional[str] = field(default=None) @classmethod @@ -22,9 +23,11 @@ def upscale(cls, *, delta: int, reason: Optional[str] = None): return ActorPoolScalingRequest(delta=delta, reason=reason) @classmethod - def downscale(cls, *, delta: int, reason: Optional[str] = None): + def downscale( + cls, *, delta: int, force: bool = False, reason: Optional[str] = None + ): assert delta < 0, "For scale down delta is expected to be negative!" - return ActorPoolScalingRequest(delta=delta, reason=reason) + return ActorPoolScalingRequest(delta=delta, force=force, reason=reason) @DeveloperAPI diff --git a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py b/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py index fd385f97ba33..86ba8ec5e771 100644 --- a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py +++ b/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py @@ -64,7 +64,7 @@ def _derive_target_scaling_config( op._inputs_complete and op_state.total_enqueued_input_bundles() == 0 ): return ActorPoolScalingRequest.downscale( - delta=-1, reason="consumed all inputs" + delta=-1, force=True, reason="consumed all inputs" ) if actor_pool.current_size() < actor_pool.min_size(): diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 818ee7ac7fe7..9cc21cfb512c 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -700,7 +700,7 @@ class _ActorPool(AutoscalingActorPool): actors when the operator is done submitting work to the pool. """ - _ACTOR_POOL_SCALE_DOWN_DEBOUNCE_PERIOD_S = 30 + _ACTOR_POOL_SCALE_DOWN_DEBOUNCE_PERIOD_S = 10 _ACTOR_POOL_GRACEFUL_SHUTDOWN_TIMEOUT_S = 30 _LOGICAL_ACTOR_ID_LABEL_KEY = "__ray_data_logical_actor_id" @@ -750,7 +750,7 @@ def __init__( assert self._create_actor_fn is not None # Timestamp of the last scale up action - self._last_upscaling_ts: Optional[float] = None + self._last_upscaled_at: Optional[float] = None self._last_downscaling_debounce_warning_ts: Optional[float] = None # Actors that have started running, including alive and restarting actors. self._running_actors: Dict[ray.actor.ActorHandle, _ActorState] = {} @@ -815,21 +815,21 @@ def _can_apply(self, config: ActorPoolScalingRequest) -> bool: # scaling up, ie if actor pool just scaled down, it'd still be able # to scale back up immediately. if ( - self._last_upscaling_ts is not None - and time.time() - <= self._last_upscaling_ts - + self._ACTOR_POOL_SCALE_DOWN_DEBOUNCE_PERIOD_S + not config.force + and self._last_upscaled_at is not None + and ( + time.time() + <= self._last_upscaled_at + + self._ACTOR_POOL_SCALE_DOWN_DEBOUNCE_PERIOD_S + ) ): # NOTE: To avoid spamming logs unnecessarily, debounce log is produced once # per upscaling event - if ( - self._last_upscaling_ts - != self._last_downscaling_debounce_warning_ts - ): + if self._last_upscaled_at != self._last_downscaling_debounce_warning_ts: logger.debug( - f"Ignoring scaling down request (request={config}; reason=debounced from scaling up at {self._last_upscaling_ts})" + f"Ignoring scaling down request (request={config}; reason=debounced from scaling up at {self._last_upscaled_at})" ) - self._last_downscaling_debounce_warning_ts = self._last_upscaling_ts + self._last_downscaling_debounce_warning_ts = self._last_upscaled_at return False @@ -853,7 +853,7 @@ def scale(self, req: ActorPoolScalingRequest) -> Optional[int]: self.add_pending_actor(actor, ready_ref) # Capture last scale up timestamp - self._last_upscaling_ts = time.time() + self._last_upscaled_at = time.time() return target_num_actors diff --git a/python/ray/data/tests/test_actor_pool_map_operator.py b/python/ray/data/tests/test_actor_pool_map_operator.py index cf68f0ee05c8..e2627c29a187 100644 --- a/python/ray/data/tests/test_actor_pool_map_operator.py +++ b/python/ray/data/tests/test_actor_pool_map_operator.py @@ -4,6 +4,7 @@ import threading import time import unittest +from dataclasses import replace from typing import Any, Dict, Optional, Tuple from unittest.mock import MagicMock @@ -161,7 +162,11 @@ def test_can_scale_down(self): pool.scale(ActorPoolScalingRequest(delta=1, reason="scaling up")) # Assert we can't scale down immediately after scale up assert not pool._can_apply(downscaling_request) - assert pool._last_upscaling_ts == time.time() + assert pool._last_upscaled_at == time.time() + + # Check that we can still scale down if downscaling request + # is a forced one + assert pool._can_apply(replace(downscaling_request, force=True)) # Advance clock f.tick( diff --git a/python/ray/data/tests/test_autoscaler.py b/python/ray/data/tests/test_autoscaler.py index 736fff47fb58..f2d0d2369ead 100644 --- a/python/ray/data/tests/test_autoscaler.py +++ b/python/ray/data/tests/test_autoscaler.py @@ -80,14 +80,16 @@ def patch(mock, attr, value, is_method=True): yield setattr(mock, attr, original) - def assert_autoscaling_action(*, delta: int, expected_reason: Optional[str]): + def assert_autoscaling_action( + *, delta: int, expected_reason: Optional[str], force: bool = False + ): nonlocal actor_pool, op, op_state assert autoscaler._derive_target_scaling_config( actor_pool=actor_pool, op=op, op_state=op_state, - ) == ActorPoolScalingRequest(delta=delta, reason=expected_reason) + ) == ActorPoolScalingRequest(delta=delta, force=force, reason=expected_reason) # Should scale up since the util above the threshold. assert actor_pool.get_pool_util() == 1.5 @@ -141,6 +143,7 @@ def assert_autoscaling_action(*, delta: int, expected_reason: Optional[str]): assert_autoscaling_action( delta=-1, expected_reason="consumed all inputs", + force=True, ) # Should scale down only once all inputs have been already dispatched AND @@ -150,6 +153,7 @@ def assert_autoscaling_action(*, delta: int, expected_reason: Optional[str]): with patch(op, "_inputs_complete", True, is_method=False): assert_autoscaling_action( delta=-1, + force=True, expected_reason="consumed all inputs", ) From 77a636dde7621f27874c67dd88b8d589c9ff8835 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Wed, 13 Aug 2025 11:57:54 -0700 Subject: [PATCH 0669/1566] [Core][TaskEventFollowup/03] Improve the Target Http Endpoint in Aggregator Agent (#55529) This PR improves the target http endpoint in the aggregator_agent.py: Merge the address and port as one env var to specify the target http endpoint Set the default value of the endpoint to be empty. And only when the endpoint is specified, we send the events out to the endpoint Update corresponding tests ----------- Signed-off-by: Mengjin Yan Signed-off-by: myan Signed-off-by: Douglas Strodtman --- python/ray/dashboard/agent.py | 2 + .../modules/aggregator/aggregator_agent.py | 45 +++++++++++------ .../aggregator/tests/test_aggregator_agent.py | 48 ++++++++++++++----- python/ray/tests/test_metrics_agent.py | 26 ++++++++-- 4 files changed, 90 insertions(+), 31 deletions(-) diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 85ac9f05f503..1c46afee5372 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -30,6 +30,7 @@ def __init__( minimal, metrics_export_port=None, node_manager_port=None, + events_export_addr=None, listen_port=ray_constants.DEFAULT_DASHBOARD_AGENT_LISTEN_PORT, disable_metrics_collection: bool = False, *, # the following are required kwargs @@ -56,6 +57,7 @@ def __init__( self.dashboard_agent_port = dashboard_agent_port self.metrics_export_port = metrics_export_port self.node_manager_port = node_manager_port + self.events_export_addr = events_export_addr self.listen_port = listen_port self.object_store_name = object_store_name self.raylet_name = raylet_name diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 4499116a6b2a..d970623633a9 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -66,12 +66,8 @@ REQUEST_BACKOFF_FACTOR = ray_constants.env_float( f"{env_var_prefix}_REQUEST_BACKOFF_FACTOR", 1.0 ) -# Address of the external service to send events -EVENT_SEND_ADDR = os.environ.get( - f"{env_var_prefix}_EVENT_SEND_ADDR", "http://127.0.0.1" -) -# Port of the external service to send events -EVENT_SEND_PORT = ray_constants.env_integer(f"{env_var_prefix}_EVENT_SEND_PORT", 12345) +# Address of the external service to send events with format of "http://:" +EVENTS_EXPORT_ADDR = os.environ.get(f"{env_var_prefix}_EVENTS_EXPORT_ADDR", "") # Interval to update metrics METRICS_UPDATE_INTERVAL_SECONDS = ray_constants.env_float( f"{env_var_prefix}_METRICS_UPDATE_INTERVAL_SECONDS", 0.1 @@ -119,7 +115,9 @@ ) events_filtered_out = Counter( f"{metrics_prefix}_events_filtered_out", - "Total number of events filtered out before publishing to external server.", + "Total number of events filtered out before publishing to external server. The " + "metric counts the events that are received by the aggregator agent but are " + "not part of the public API yet.", tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), namespace="ray", ) @@ -164,13 +162,22 @@ def __init__(self, dashboard_agent) -> None: self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 self._events_published_since_last_metrics_update = 0 self._events_filtered_out_since_last_metrics_update = 0 - - self._orig_sigterm_handler = signal.signal( - signal.SIGTERM, self._sigterm_handler + self._events_export_addr = ( + dashboard_agent.events_export_addr or EVENTS_EXPORT_ADDR ) - self._is_cleanup = False - self._cleanup_finished_event = threading.Event() + self._event_http_target_enabled = bool(self._events_export_addr) + if not self._event_http_target_enabled: + logger.info( + "Event HTTP target not set, skipping sending events to " + f"external http service. events_export_addr: {self._events_export_addr}" + ) + + self._event_processing_enabled = self._event_http_target_enabled + if self._event_processing_enabled: + logger.info("Event processing enabled") + else: + logger.info("Event processing disabled") self._exposable_event_types = { event_type.strip() @@ -178,6 +185,13 @@ def __init__(self, dashboard_agent) -> None: if event_type.strip() } + self._orig_sigterm_handler = signal.signal( + signal.SIGTERM, self._sigterm_handler + ) + + self._is_cleanup = False + self._cleanup_finished_event = threading.Event() + async def AddEvents(self, request, context) -> None: """ gRPC handler for adding events to the event aggregator @@ -192,6 +206,9 @@ def _receive_events(self, request): """ Receives events from the request, adds them to the event buffer, """ + if not self._event_processing_enabled: + return events_event_aggregator_service_pb2.AddEventReply() + # TODO(myan) #54515: Considering adding a mechanism to also send out the events # metadata (e.g. dropped task attempts) to help with event processing at the # downstream @@ -235,7 +252,7 @@ def _send_events_to_external_service(self, event_batch) -> None: """ Sends a batch of events to the external service via HTTP POST request """ - if not event_batch: + if not event_batch or not self._event_http_target_enabled: return filtered_event_batch = [ @@ -255,7 +272,7 @@ def _send_events_to_external_service(self, event_batch) -> None: try: response = self._http_session.post( - f"{EVENT_SEND_ADDR}:{EVENT_SEND_PORT}", json=filtered_event_batch_json + f"{self._events_export_addr}", json=filtered_event_batch_json ) response.raise_for_status() with self._lock: diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 3020813227fd..f7f1735110ba 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -1,6 +1,7 @@ import sys import json import base64 +from unittest.mock import MagicMock import pytest from google.protobuf.timestamp_pb2 import Timestamp @@ -30,13 +31,19 @@ from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents +from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent + _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() +_EVENT_AGGREGATOR_AGENT_TARGET_IP = "127.0.0.1" +_EVENT_AGGREGATOR_AGENT_TARGET_ADDR = ( + f"http://{_EVENT_AGGREGATOR_AGENT_TARGET_IP}:{_EVENT_AGGREGATOR_AGENT_TARGET_PORT}" +) @pytest.fixture(scope="module") def httpserver_listen_address(): - return ("127.0.0.1", _EVENT_AGGREGATOR_AGENT_TARGET_PORT) + return (_EVENT_AGGREGATOR_AGENT_TARGET_IP, _EVENT_AGGREGATOR_AGENT_TARGET_PORT) @pytest.fixture @@ -54,9 +61,7 @@ def fake_timestamp(): [ { "env_vars": { - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( - _EVENT_AGGREGATOR_AGENT_TARGET_PORT - ), + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, }, }, ], @@ -86,6 +91,29 @@ def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): return EventAggregatorServiceStub(channel) +@pytest.mark.parametrize( + ( + "export_addr", + "expected_http_target_enabled", + "expected_event_processing_enabled", + ), + [ + ("", False, False), + ("http://127.0.0.1:" + str(_EVENT_AGGREGATOR_AGENT_TARGET_PORT), True, True), + ], +) +def test_aggregator_agent_http_target_not_enabled( + export_addr, + expected_http_target_enabled, + expected_event_processing_enabled, +): + dashboard_agent = MagicMock() + dashboard_agent.events_export_addr = export_addr + agent = AggregatorAgent(dashboard_agent) + assert agent._event_http_target_enabled == expected_http_target_enabled + assert agent._event_processing_enabled == expected_event_processing_enabled + + @_with_aggregator_port def test_aggregator_agent_receive_publish_events_normally( ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp @@ -136,9 +164,7 @@ def test_aggregator_agent_receive_publish_events_normally( { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( - _EVENT_AGGREGATOR_AGENT_TARGET_PORT - ), + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, }, }, ], @@ -242,9 +268,7 @@ def test_aggregator_agent_receive_multiple_events( { "env_vars": { "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( - _EVENT_AGGREGATOR_AGENT_TARGET_PORT - ), + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, }, }, ], @@ -365,9 +389,7 @@ def test_aggregator_agent_profile_events_not_exposed( [ { "env_vars": { - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": str( - _EVENT_AGGREGATOR_AGENT_TARGET_PORT - ), + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT,TASK_PROFILE_EVENT", }, }, diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 2021c97ef36c..a167b701012b 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -144,6 +144,7 @@ "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", "ray_event_aggregator_agent_events_published_total", + "ray_event_aggregator_agent_events_filtered_out_total", ] _NODE_METRICS = [ @@ -465,6 +466,10 @@ def verify_dashboard_metrics(): _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() +_EVENT_AGGREGATOR_AGENT_TARGET_IP = "127.0.0.1" +_EVENT_AGGREGATOR_AGENT_TARGET_ADDR = ( + f"http://{_EVENT_AGGREGATOR_AGENT_TARGET_IP}:{_EVENT_AGGREGATOR_AGENT_TARGET_PORT}" +) @pytest.fixture(scope="module") @@ -477,8 +482,11 @@ def httpserver_listen_address(): [ { "env_vars": { - "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 1, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENT_SEND_PORT": _EVENT_AGGREGATOR_AGENT_TARGET_PORT, + "RAY_DASHBOARD_AGGREGATOR_AGENT_MAX_EVENT_BUFFER_SIZE": 2, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, + # Turn off task events generation to avoid the task events from the + # cluster impacting the test result + "RAY_task_events_report_interval_ms": 0, }, }, ], @@ -505,16 +513,18 @@ def test_case_stats_exist(): "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", "ray_event_aggregator_agent_events_published_total", + "ray_event_aggregator_agent_events_filtered_out_total", ] return all(metric in metrics_names for metric in event_aggregator_metrics) def test_case_value_correct(): _, _, metric_samples = fetch_prometheus(prom_addresses) expected_metrics_values = { - "ray_event_aggregator_agent_events_received_total": 2.0, + "ray_event_aggregator_agent_events_received_total": 3.0, "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total": 0.0, "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total": 1.0, "ray_event_aggregator_agent_events_published_total": 1.0, + "ray_event_aggregator_agent_events_filtered_out_total": 1.0, } for descriptor, expected_value in expected_metrics_values.items(): samples = [m for m in metric_samples if m.name == descriptor] @@ -543,11 +553,19 @@ def test_case_value_correct(): RayEvent( event_id=b"2", source_type=RayEvent.SourceType.CORE_WORKER, - event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, + event_type=RayEvent.EventType.TASK_PROFILE_EVENT, timestamp=timestamp, severity=RayEvent.Severity.INFO, message="hello 2", ), + RayEvent( + event_id=b"3", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + message="hello 3", + ), ], task_events_metadata=TaskEventsMetadata( dropped_task_attempts=[ From 9962908afeafde70a0a6f8b41ae2bdbae3cf70d1 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 13 Aug 2025 12:22:56 -0700 Subject: [PATCH 0670/1566] [data] Sanitization of Dataset Metadata Export (#55379) ## Why are these changes needed? A couple of things that have been improved - updating structs should have string keys - More tests for bytes, bytearrays, dataclasses ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../issue_detector_configuration.py | 4 +- .../ray/data/_internal/metadata_exporter.py | 38 +- python/ray/data/tests/test_state_export.py | 335 ++++++++++++++++-- 3 files changed, 330 insertions(+), 47 deletions(-) diff --git a/python/ray/data/_internal/issue_detection/issue_detector_configuration.py b/python/ray/data/_internal/issue_detection/issue_detector_configuration.py index 53aea74dbd63..6b59a7318d23 100644 --- a/python/ray/data/_internal/issue_detection/issue_detector_configuration.py +++ b/python/ray/data/_internal/issue_detection/issue_detector_configuration.py @@ -13,10 +13,10 @@ @dataclass class IssueDetectorsConfiguration: hanging_detector_config: HangingExecutionIssueDetectorConfig = field( - default=HangingExecutionIssueDetectorConfig + default_factory=HangingExecutionIssueDetectorConfig ) high_memory_detector_config: HighMemoryIssueDetectorConfig = field( - default=HighMemoryIssueDetectorConfig + default_factory=HighMemoryIssueDetectorConfig ) detectors: List[Type[IssueDetector]] = field( default_factory=lambda: [HangingExecutionIssueDetector, HighMemoryIssueDetector] diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index dfc2a60bcffc..5ff8242cfc5c 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -1,10 +1,9 @@ """Metadata exporter API for Ray Data datasets.""" -import json import logging import os from abc import ABC, abstractmethod -from dataclasses import dataclass, field +from dataclasses import asdict, dataclass, field, is_dataclass from typing import TYPE_CHECKING, Any, Dict, List, Mapping, Optional, Sequence import ray @@ -142,30 +141,36 @@ class DatasetMetadata: data_context: DataContext -def _add_ellipsis(s, truncate_length): +def _add_ellipsis(s: str, truncate_length: int) -> str: if len(s) > truncate_length: return s[:truncate_length] + "..." return s def sanitize_for_struct(obj, truncate_length=DEFAULT_TRUNCATION_LENGTH): + """Prepares the obj for Struct Protobuf format by recursively + going through dictionaries, lists, etc... + + - Dataclasses will be converted to dicts + - Dictionary keys will be converted to strings + - Lists, tuples, sets, bytes, bytearrays will be converted to lists + """ if isinstance(obj, Mapping): - return {k: sanitize_for_struct(v, truncate_length) for k, v in obj.items()} - elif isinstance(obj, (int, float, bool)) or obj is None: - return obj + # protobuf Struct key names must be strings. + return {str(k): sanitize_for_struct(v, truncate_length) for k, v in obj.items()} elif isinstance(obj, str): return _add_ellipsis(obj, truncate_length) - elif isinstance(obj, Sequence): - return [sanitize_for_struct(v, truncate_length) for v in obj] + elif isinstance(obj, (Sequence, set)): + # Convert all sequence-like types (lists, tuples, sets, bytes, other sequences) to lists + return [sanitize_for_struct(v, truncate_length=truncate_length) for v in obj] else: - # Convert unhandled types to string try: - return _add_ellipsis(json.dumps(obj), truncate_length) - except (TypeError, OverflowError): - try: - return _add_ellipsis(str(obj), truncate_length) - except Exception: - return UNKNOWN + if is_dataclass(obj): + return sanitize_for_struct(asdict(obj), truncate_length) + return _add_ellipsis(str(obj), truncate_length) + except Exception: + unk_name = f"{UNKNOWN}: {type(obj).__name__}" + return _add_ellipsis(unk_name, truncate_length) def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: @@ -178,7 +183,6 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: Returns: The protobuf message representing the dataset metadata. """ - from dataclasses import asdict from google.protobuf.struct_pb2 import Struct @@ -221,7 +225,7 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: # Populate the data metadata proto data_context = Struct() - data_context.update(sanitize_for_struct(asdict(dataset_metadata.data_context))) + data_context.update(sanitize_for_struct(dataset_metadata.data_context)) proto_dataset_metadata = ProtoDatasetMetadata( dataset_id=dataset_metadata.dataset_id, job_id=dataset_metadata.job_id, diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index 58beeff858a9..cfa815b32294 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -1,11 +1,13 @@ import json import os -from dataclasses import asdict +from dataclasses import asdict, dataclass +from typing import Tuple import pytest import ray from ray.data import DataContext +from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.metadata_exporter import ( UNKNOWN, Operator, @@ -62,9 +64,81 @@ def ray_start_cluster_with_export_api_write(shutdown_only): yield res +@dataclass +class TestDataclass: + """A test dataclass for testing dataclass serialization.""" + + list_field: list = None + dict_field: dict = None + string_field: str = "test" + int_field: int = 1 + float_field: float = 1.0 + set_field: set = None + tuple_field: Tuple[int] = None + bool_field: bool = True + none_field: None = None + + def __post_init__(self): + self.list_field = [1, 2, 3] + self.dict_field = {1: 2, "3": "4"} + self.set_field = {1, 2, 3} + self.tuple_field = (1, 2, 3) + + +class DummyLogicalOperator(LogicalOperator): + """A dummy logical operator for testing _get_logical_args with various data types.""" + + def __init__(self, input_op=None): + super().__init__("DummyOperator", []) + + # Test various data types that might be returned by _get_logical_args + self._string_value = "test_string" + self._int_value = 42 + self._float_value = 3.14 + self._bool_value = True + self._none_value = None + self._list_value = [1, 2, 3, "string", None] + self._dict_value = {"key1": "value1", "key2": 123, "key3": None} + self._nested_dict = { + "level1": { + "level2": { + "level3": "deep_value", + "numbers": [1, 2, 3], + "mixed": {"a": 1, "b": "string", "c": None}, + } + } + } + self._tuple_value = (1, "string", None, 3.14) + self._set_value = {1} + self._bytes_value = b"binary_data" + self._complex_dict = { + "string_keys": {"a": 1, "b": 2}, + "int_keys": {1: "one", 2: "two"}, # This should cause issues if not handled + "mixed_keys": {"str": "value", 1: "int_key", None: "none_key"}, + } + self._empty_containers = { + "empty_list": [], + "empty_dict": {}, + "empty_tuple": (), + "empty_set": set(), + } + self._special_values = { + "zero": 0, + "negative": -1, + "large_int": 999999999999999999, + "small_float": 0.0000001, + "inf": float("inf"), + "neg_inf": float("-inf"), + "nan": float("nan"), + } + + self._data_class = TestDataclass() + + @pytest.fixture def dummy_dataset_topology(): """Create a dummy Topology.""" + dummy_operator = DummyLogicalOperator() dummy_topology = Topology( operators=[ Operator( @@ -73,6 +147,7 @@ def dummy_dataset_topology(): uuid="uuid_0", input_dependencies=[], sub_stages=[], + args=sanitize_for_struct(dummy_operator._get_args()), ), Operator( name="ReadRange->Map()->Filter()", @@ -80,12 +155,179 @@ def dummy_dataset_topology(): uuid="uuid_1", input_dependencies=["Input_0"], sub_stages=[], + args=sanitize_for_struct(dummy_operator._get_args()), ), ], ) return dummy_topology +@pytest.fixture +def dummy_dataset_topology_expected_output(): + return { + "operators": [ + { + "name": "Input", + "id": "Input_0", + "uuid": "uuid_0", + "args": { + "_num_outputs": "None", + "_int_value": "42", + "_special_values": { + "negative": "-1", + "inf": "inf", + "zero": "0", + "large_int": "999999999999999999", + "small_float": "1e-07", + "neg_inf": "-inf", + "nan": "nan", + }, + "_none_value": "None", + "_name": "DummyOperator", + "_output_dependencies": [], + "_float_value": "3.14", + "_list_value": ["1", "2", "3", "string", "None"], + "_dict_value": {"key1": "value1", "key3": "None", "key2": "123"}, + "_set_value": ["1"], + "_tuple_value": ["1", "string", "None", "3.14"], + "_bytes_value": [ + "98", + "105", + "110", + "97", + "114", + "121", + "95", + "100", + "97", + "116", + "97", + ], + "_input_dependencies": [], + "_empty_containers": { + "empty_set": [], + "empty_tuple": [], + "empty_dict": {}, + "empty_list": [], + }, + "_bool_value": "True", + "_nested_dict": { + "level1": { + "level2": { + "mixed": {"a": "1", "b": "string", "c": "None"}, + "numbers": ["1", "2", "3"], + "level3": "deep_value", + } + } + }, + "_string_value": "test_string", + "_complex_dict": { + "string_keys": {"a": "1", "b": "2"}, + "mixed_keys": { + "None": "none_key", + "str": "value", + "1": "int_key", + }, + "int_keys": {"1": "one", "2": "two"}, + }, + "_data_class": { + "list_field": ["1", "2", "3"], + "dict_field": {"3": "4", "1": "2"}, + "tuple_field": ["1", "2", "3"], + "set_field": ["1", "2", "3"], + "int_field": "1", + "none_field": "None", + "bool_field": "True", + "string_field": "test", + "float_field": "1.0", + }, + }, + "input_dependencies": [], + "sub_stages": [], + }, + { + "name": "ReadRange->Map()->Filter()", + "id": "ReadRange->Map()->Filter()_1", + "uuid": "uuid_1", + "input_dependencies": ["Input_0"], + "args": { + "_num_outputs": "None", + "_int_value": "42", + "_special_values": { + "negative": "-1", + "inf": "inf", + "zero": "0", + "large_int": "999999999999999999", + "small_float": "1e-07", + "neg_inf": "-inf", + "nan": "nan", + }, + "_none_value": "None", + "_name": "DummyOperator", + "_output_dependencies": [], + "_float_value": "3.14", + "_list_value": ["1", "2", "3", "string", "None"], + "_dict_value": {"key1": "value1", "key3": "None", "key2": "123"}, + "_set_value": ["1"], + "_tuple_value": ["1", "string", "None", "3.14"], + "_bytes_value": [ + "98", + "105", + "110", + "97", + "114", + "121", + "95", + "100", + "97", + "116", + "97", + ], + "_input_dependencies": [], + "_empty_containers": { + "empty_set": [], + "empty_tuple": [], + "empty_dict": {}, + "empty_list": [], + }, + "_bool_value": "True", + "_nested_dict": { + "level1": { + "level2": { + "mixed": {"a": "1", "b": "string", "c": "None"}, + "numbers": ["1", "2", "3"], + "level3": "deep_value", + } + } + }, + "_string_value": "test_string", + "_complex_dict": { + "string_keys": {"a": "1", "b": "2"}, + "mixed_keys": { + "None": "none_key", + "str": "value", + "1": "int_key", + }, + "int_keys": {"1": "one", "2": "two"}, + }, + "_data_class": { + "list_field": ["1", "2", "3"], + "dict_field": {"3": "4", "1": "2"}, + "tuple_field": ["1", "2", "3"], + "set_field": ["1", "2", "3"], + "int_field": "1", + "none_field": "None", + "bool_field": "True", + "string_field": "test", + "float_field": "1.0", + }, + }, + "sub_stages": [], + }, + ] + } + + def test_export_disabled(ray_start_regular, dummy_dataset_topology): """Test that no export files are created when export API is disabled.""" stats_actor = _get_or_create_stats_actor() @@ -105,7 +347,7 @@ def test_export_disabled(ray_start_regular, dummy_dataset_topology): assert not os.path.exists(_get_export_file_path()) -def _test_dataset_metadata_export(topology): +def _test_dataset_metadata_export(topology, dummy_dataset_topology_expected_output): """Test that dataset metadata export events are written when export API is enabled.""" stats_actor = _get_or_create_stats_actor() @@ -124,22 +366,30 @@ def _test_dataset_metadata_export(topology): data = _get_exported_data() assert len(data) == 1 assert data[0]["source_type"] == "EXPORT_DATASET_METADATA" - assert data[0]["event_data"]["topology"] == sanitize_for_struct(asdict(topology)) + assert data[0]["event_data"]["topology"] == dummy_dataset_topology_expected_output assert data[0]["event_data"]["dataset_id"] == STUB_DATASET_ID assert data[0]["event_data"]["job_id"] == STUB_JOB_ID assert data[0]["event_data"]["start_time"] is not None def test_export_dataset_metadata_enabled_by_config( - ray_start_cluster_with_export_api_config, dummy_dataset_topology + ray_start_cluster_with_export_api_config, + dummy_dataset_topology, + dummy_dataset_topology_expected_output, ): - _test_dataset_metadata_export(dummy_dataset_topology) + _test_dataset_metadata_export( + dummy_dataset_topology, dummy_dataset_topology_expected_output + ) def test_export_dataset_metadata( - ray_start_cluster_with_export_api_write, dummy_dataset_topology + ray_start_cluster_with_export_api_write, + dummy_dataset_topology, + dummy_dataset_topology_expected_output, ): - _test_dataset_metadata_export(dummy_dataset_topology) + _test_dataset_metadata_export( + dummy_dataset_topology, dummy_dataset_topology_expected_output + ) @pytest.mark.parametrize( @@ -181,7 +431,9 @@ def __call__(self, x): def test_export_multiple_datasets( - ray_start_cluster_with_export_api_write, dummy_dataset_topology + ray_start_cluster_with_export_api_write, + dummy_dataset_topology, + dummy_dataset_topology_expected_output, ): """Test that multiple datasets can be exported when export API is enabled.""" stats_actor = _get_or_create_stats_actor() @@ -245,8 +497,8 @@ def test_export_multiple_datasets( ), f"First dataset {first_dataset_id} not found in exported data" first_entry = datasets_by_id[first_dataset_id] assert first_entry["source_type"] == "EXPORT_DATASET_METADATA" - assert first_entry["event_data"]["topology"] == sanitize_for_struct( - asdict(dummy_dataset_topology) + assert ( + first_entry["event_data"]["topology"] == dummy_dataset_topology_expected_output ) assert first_entry["event_data"]["job_id"] == STUB_JOB_ID assert first_entry["event_data"]["start_time"] is not None @@ -257,9 +509,7 @@ def test_export_multiple_datasets( ), f"Second dataset {second_dataset_id} not found in exported data" second_entry = datasets_by_id[second_dataset_id] assert second_entry["source_type"] == "EXPORT_DATASET_METADATA" - assert second_entry["event_data"]["topology"] == sanitize_for_struct( - asdict(second_topology) - ) + assert second_entry["event_data"]["topology"] == asdict(second_topology) assert second_entry["event_data"]["job_id"] == STUB_JOB_ID assert second_entry["event_data"]["start_time"] is not None @@ -287,12 +537,12 @@ def __str__(self): @pytest.mark.parametrize( "input_obj,expected_output,truncate_length", [ - # Basic types - should return as-is - (42, 42, 100), - (3.14, 3.14, 100), - (True, True, 100), - (False, False, 100), - (None, None, 100), + # Basic types - should return as strings + (42, "42", 100), + (3.14, "3.14", 100), + (True, "True", 100), + (False, "False", 100), + (None, "None", 100), # Strings - short strings return as-is ("hello", "hello", 100), # Strings - long strings get truncated @@ -302,28 +552,57 @@ def __str__(self): ({"key": "value"}, {"key": "value"}, 100), ({"long_key": "a" * 150}, {"long_key": "a" * 100 + "..."}, 100), ({"nested": {"inner": "value"}}, {"nested": {"inner": "value"}}, 100), - # Sequences - should recursively sanitize elements - ([1, 2, 3], [1, 2, 3], 100), + # Sequences - should recursively sanitize elements (convert to strings) + ([1, 2, 3], ["1", "2", "3"], 100), (["short", "a" * 150], ["short", "a" * 100 + "..."], 100), # Complex nested structures ( {"list": [1, "a" * 150], "dict": {"key": "a" * 150}}, - {"list": [1, "a" * 100 + "..."], "dict": {"key": "a" * 100 + "..."}}, + {"list": ["1", "a" * 100 + "..."], "dict": {"key": "a" * 100 + "..."}}, 100, ), # Objects that can be converted to string (BasicObject("test"), "BasicObject(test)", 100), # Falls back to str() - # Objects that can't be JSON serialized but can be stringified - ({1, 2, 3}, "{1, 2, 3}", 100), # Falls back to str() + # Sets can be converted to Lists of strings + ({1, 2, 3}, ["1", "2", "3"], 100), + ((1, 2, 3), ["1", "2", "3"], 100), # Objects that can't be serialized or stringified - (UnserializableObject(), UNKNOWN, 100), + (UnserializableObject(), f"{UNKNOWN}: {UnserializableObject.__name__}", 100), # Empty containers ({}, {}, 100), ([], [], 100), - # Mixed type sequences + # Mixed type sequences - all converted to strings ( [1, "hello", {"key": "value"}, None], - [1, "hello", {"key": "value"}, None], + ["1", "hello", {"key": "value"}, "None"], + 100, + ), + # Bytearrays/bytes - should be converted to lists of string representations + (bytearray(b"hello"), ["104", "101", "108", "108", "111"], 100), + (bytearray([1, 2, 3, 4, 5]), ["1", "2", "3", "4", "5"], 100), + (bytes(b"test"), ["116", "101", "115", "116"], 100), + # Dataclass + ( + TestDataclass(), + { + "list_field": ["1", "2", "3"], + "dict_field": {"1": "2", "3": "4"}, # key should be strings + "string_field": "test", + "int_field": "1", + "float_field": "1.0", + "set_field": [ + "1", + "2", + "3", + ], # sets will be converted to Lists of strings + "tuple_field": [ + "1", + "2", + "3", + ], # tuples will be converted to Lists of strings + "bool_field": "True", + "none_field": "None", + }, 100, ), ], @@ -331,7 +610,7 @@ def __str__(self): def test_sanitize_for_struct(input_obj, expected_output, truncate_length): """Test sanitize_for_struct with various input types and truncation lengths.""" result = sanitize_for_struct(input_obj, truncate_length) - assert result == expected_output + assert result == expected_output, f"Expected {expected_output}, got {result}" if __name__ == "__main__": From 4ed548a2774d41c2d638669086ace3e640278b53 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 13 Aug 2025 12:56:01 -0700 Subject: [PATCH 0671/1566] [core][obsclean/02] de-static more internal ray metrics (#55537) Ray core currently offers two APIs for defining internal metrics: a static object-oriented (OO) API and a template/extern-based API. The OO API is also used for defining custom metrics at the Ray application level, and I personally find it easier to read. This series of PRs aims to unify all metric definitions under the OO API. --------- This PR migrates **all** metric from static to runtime definition, as part of the effort to eliminate all statically defined metrics. Currently, the OO interface attempts to register a metric at the same time its first value is recorded, due to the [C++ static initialization order fiasco](https://en.cppreference.com/w/cpp/language/siof.html), which is awkward and potentially inefficient. We can fix this by removing all statically defined metrics. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_node_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 6 + src/ray/gcs/gcs_server/gcs_worker_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_worker_manager.h | 8 + src/ray/gcs/redis_context.cc | 2 +- src/ray/gcs/redis_context.h | 10 ++ src/ray/object_manager/object_manager.cc | 8 +- src/ray/object_manager/object_manager.h | 20 +++ .../ownership_object_directory.cc | 10 +- .../ownership_object_directory.h | 40 +++++ src/ray/raylet/scheduling/scheduler_stats.cc | 8 +- src/ray/raylet/scheduling/scheduler_stats.h | 16 +- src/ray/raylet/worker_pool.cc | 20 +-- src/ray/raylet/worker_pool.h | 29 ++++ src/ray/stats/metric_defs.h | 150 ------------------ src/ray/stats/stats_test.cc | 11 +- 16 files changed, 163 insertions(+), 179 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index a9a54756cf85..112e45a594d4 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -406,7 +406,7 @@ std::shared_ptr GcsNodeManager::RemoveNode( << ", death reason = " << rpc::NodeDeathInfo_Reason_Name(death_info->reason()) << ", death message = " << death_info->reason_message(); // Record stats that there's a new removed node. - stats::NodeFailureTotal.Record(1); + ray_metric_node_failures_total_.Record(1); // Remove from alive nodes. alive_nodes_.erase(iter); // Remove from draining nodes if present. diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 972ecba9c4e6..eb3107fcc4ba 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -286,6 +286,12 @@ class GcsNodeManager : public rpc::NodeInfoHandler { /// If true, node events are exported for Export API bool export_event_write_enabled_ = false; + /// Ray metrics + ray::stats::Count ray_metric_node_failures_total_{ + /*name=*/"node_failure_total", + /*description=*/"Number of node failures that have happened in the cluster.", + /*unit=*/""}; + friend GcsAutoscalerStateManagerTest; friend GcsStateTest; }; diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.cc b/src/ray/gcs/gcs_server/gcs_worker_manager.cc index bd3b16ff9bdc..3e6962595874 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.cc @@ -87,7 +87,7 @@ void GcsWorkerManager::HandleReportWorkerFailure( << "Failed to report worker failure"; } else { if (!IsIntentionalWorkerFailure(worker_failure_data->exit_type())) { - stats::UnintentionalWorkerFailures.Record(1); + ray_metric_unintentional_worker_failures_.Record(1); } // Only publish worker_id and node_id in address as they are the only // fields used by sub clients. diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.h b/src/ray/gcs/gcs_server/gcs_worker_manager.h index d4858efcbd6e..fb33d80ddb6c 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.h @@ -86,6 +86,14 @@ class GcsWorkerManager : public rpc::WorkerInfoHandler { /// Tracks the number of occurences of worker crash due to OOM int32_t worker_crash_oom_count_ = 0; + + /// Ray metrics + ray::stats::Count ray_metric_unintentional_worker_failures_{ + /*name=*/"unintentional_worker_failures_total", + /*description=*/ + "Number of worker failures that are not intentional. For example, worker failures " + "due to system related errors.", + /*unit=*/""}; }; } // namespace gcs diff --git a/src/ray/gcs/redis_context.cc b/src/ray/gcs/redis_context.cc index fb684bbd8db6..3ee8c564e978 100644 --- a/src/ray/gcs/redis_context.cc +++ b/src/ray/gcs/redis_context.cc @@ -205,7 +205,7 @@ void RedisRequestContext::RedisResponseFn(redisAsyncContext *async_context, }, "RedisRequestContext.Callback"); auto end_time = absl::Now(); - ray::stats::GcsLatency().Record( + request_cxt->ray_metric_gcs_latency_.Record( absl::ToDoubleMilliseconds(end_time - request_cxt->start_time_)); delete request_cxt; } diff --git a/src/ray/gcs/redis_context.h b/src/ray/gcs/redis_context.h index d21331aac550..cc3ec46f3c43 100644 --- a/src/ray/gcs/redis_context.h +++ b/src/ray/gcs/redis_context.h @@ -24,6 +24,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" #include "ray/gcs/redis_async_context.h" +#include "ray/stats/metric.h" +#include "ray/stats/tag_defs.h" #include "ray/util/exponential_backoff.h" #include "src/ray/protobuf/gcs.pb.h" @@ -127,6 +129,14 @@ struct RedisRequestContext { std::vector redis_cmds_; std::vector argv_; std::vector argc_; + + // Ray metrics + ray::stats::Histogram ray_metric_gcs_latency_{ + "gcs_latency", + "The latency of a GCS (by default Redis) operation.", + "us", + {100, 200, 300, 400, 500, 600, 700, 800, 900, 1000}, + {stats::kCustomKey}}; }; class RedisContext { diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 405559f58b55..90d8cbe5d93b 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -772,12 +772,12 @@ void ObjectManager::RecordMetrics() { plasma::plasma_store_runner->GetFallbackAllocated()); // Subtract fallback allocated memory. It is tracked separately by // `ObjectStoreFallbackMemory`. - stats::ObjectStoreUsedMemory().Record( + ray_metric_object_store_used_memory_.Record( used_memory_ - plasma::plasma_store_runner->GetFallbackAllocated()); - stats::ObjectStoreFallbackMemory().Record( + ray_metric_object_store_fallback_memory_.Record( plasma::plasma_store_runner->GetFallbackAllocated()); - stats::ObjectStoreLocalObjects().Record(local_objects_.size()); - stats::ObjectManagerPullRequests().Record(pull_manager_->NumObjectPullRequests()); + ray_metric_object_store_local_objects_.Record(local_objects_.size()); + ray_metric_object_manager_pull_requests_.Record(pull_manager_->NumObjectPullRequests()); ray::stats::STATS_object_manager_bytes.Record(num_bytes_pushed_from_plasma_, "PushedFromLocalPlasma"); diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 534ac3fcb7b6..593f2d2b1455 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -504,6 +504,26 @@ class ObjectManager : public ObjectManagerInterface, /*name=*/"object_store_available_memory", /*description=*/"Amount of memory currently available in the object store.", /*unit=*/"bytes"}; + + ray::stats::Gauge ray_metric_object_store_used_memory_{ + /*name=*/"object_store_used_memory", + /*description=*/"Amount of memory currently occupied in the object store.", + /*unit=*/"bytes"}; + + ray::stats::Gauge ray_metric_object_store_fallback_memory_{ + /*name=*/"object_store_fallback_memory", + /*description=*/"Amount of memory in fallback allocations in the filesystem.", + /*unit=*/"bytes"}; + + ray::stats::Gauge ray_metric_object_store_local_objects_{ + /*name=*/"object_store_num_local_objects", + /*description=*/"Number of objects currently in the object store.", + /*unit=*/"objects"}; + + ray::stats::Gauge ray_metric_object_manager_pull_requests_{ + /*name=*/"object_manager_num_pull_requests", + /*description=*/"Number of active pull requests for objects.", + /*unit=*/"requests"}; }; } // namespace ray diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 53d9ba0eed0c..0abe8b4edd8e 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -472,34 +472,34 @@ void OwnershipBasedObjectDirectory::HandleNodeRemoved(const NodeID &node_id) { } void OwnershipBasedObjectDirectory::RecordMetrics(uint64_t duration_ms) { - stats::ObjectDirectoryLocationSubscriptions.Record(listeners_.size()); + ray_metric_object_directory_location_subscriptions_.Record(listeners_.size()); // Record number of object location updates per second. metrics_num_object_location_updates_per_second_ = static_cast(metrics_num_object_location_updates_) * (1000.0 / static_cast(duration_ms)); - stats::ObjectDirectoryLocationUpdates.Record( + ray_metric_object_directory_location_updates_.Record( metrics_num_object_location_updates_per_second_); metrics_num_object_location_updates_ = 0; // Record number of object location lookups per second. metrics_num_object_location_lookups_per_second_ = static_cast(metrics_num_object_location_lookups_) * (1000.0 / static_cast(duration_ms)); - stats::ObjectDirectoryLocationLookups.Record( + ray_metric_object_directory_location_lookups_.Record( metrics_num_object_location_lookups_per_second_); metrics_num_object_location_lookups_ = 0; // Record number of object locations added per second. metrics_num_object_locations_added_per_second_ = static_cast(metrics_num_object_locations_added_) * (1000.0 / static_cast(duration_ms)); - stats::ObjectDirectoryAddedLocations.Record( + ray_metric_object_directory_location_added_.Record( metrics_num_object_locations_added_per_second_); metrics_num_object_locations_added_ = 0; // Record number of object locations removed per second. metrics_num_object_locations_removed_per_second_ = static_cast(metrics_num_object_locations_removed_) * (1000.0 / static_cast(duration_ms)); - stats::ObjectDirectoryRemovedLocations.Record( + ray_metric_object_directory_location_removed_.Record( metrics_num_object_locations_removed_per_second_); metrics_num_object_locations_removed_ = 0; } diff --git a/src/ray/object_manager/ownership_object_directory.h b/src/ray/object_manager/ownership_object_directory.h index 556544ff109d..a054a7ef68f5 100644 --- a/src/ray/object_manager/ownership_object_directory.h +++ b/src/ray/object_manager/ownership_object_directory.h @@ -28,6 +28,7 @@ #include "ray/pubsub/subscriber.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/stats/metric.h" namespace ray { @@ -174,6 +175,45 @@ class OwnershipBasedObjectDirectory : public IObjectDirectory { uint64_t cum_metrics_num_object_location_updates_ = 0; + /// Ray metrics + ray::stats::Gauge ray_metric_object_directory_location_subscriptions_{ + /*name=*/"object_directory_subscriptions", + /*description=*/ + "Number of object location subscriptions. If this is high, the raylet is " + "attempting " + "to pull a lot of objects.", + /*unit=*/"subscriptions"}; + + ray::stats::Gauge ray_metric_object_directory_location_updates_{ + /*name=*/"object_directory_updates", + /*description=*/ + "Number of object location updates per second. If this is high, the raylet is " + "attempting to pull a lot of objects and/or the locations for objects are " + "frequently " + "changing (e.g. due to many object copies or evictions).", + /*unit=*/"updates"}; + + ray::stats::Gauge ray_metric_object_directory_location_lookups_{ + /*name=*/"object_directory_lookups", + /*description=*/ + "Number of object location lookups per second. If this is high, the raylet is " + "waiting on a lot of objects.", + /*unit=*/"lookups"}; + + ray::stats::Gauge ray_metric_object_directory_location_added_{ + /*name=*/"object_directory_added_locations", + /*description=*/ + "Number of object locations added per second. If this is high, a lot of objects " + "have been added on this node.", + /*unit=*/"additions"}; + + ray::stats::Gauge ray_metric_object_directory_location_removed_{ + /*name=*/"object_directory_removed_locations", + /*description=*/ + "Number of object locations removed per second. If this is high, a lot of objects " + "have been removed from this node.", + /*unit=*/"removals"}; + friend class OwnershipBasedObjectDirectoryTest; }; diff --git a/src/ray/raylet/scheduling/scheduler_stats.cc b/src/ray/raylet/scheduling/scheduler_stats.cc index c80a44fa8b2b..4b62d8e5fae4 100644 --- a/src/ray/raylet/scheduling/scheduler_stats.cc +++ b/src/ray/raylet/scheduling/scheduler_stats.cc @@ -116,14 +116,14 @@ void SchedulerStats::ComputeStats() { num_tasks_to_dispatch_ = num_tasks_to_dispatch; } -void SchedulerStats::RecordMetrics() const { +void SchedulerStats::RecordMetrics() { /// This method intentionally doesn't call ComputeStats() because /// that function is expensive. ComputeStats is called by ComputeAndReportDebugStr /// method and they are always periodically called by node manager. - stats::NumSpilledTasks.Record(metric_tasks_spilled_ + - local_task_manager_.GetNumTaskSpilled()); + ray_metric_num_spilled_tasks_.Record(metric_tasks_spilled_ + + local_task_manager_.GetNumTaskSpilled()); local_task_manager_.RecordMetrics(); - stats::NumInfeasibleSchedulingClasses.Record( + ray_metric_num_infeasible_scheduling_classes_.Record( cluster_task_manager_.infeasible_tasks_.size()); /// Worker startup failure ray::stats::STATS_scheduler_failed_worker_startup_total.Record( diff --git a/src/ray/raylet/scheduling/scheduler_stats.h b/src/ray/raylet/scheduling/scheduler_stats.h index c71f1fb8cab4..97dc0f9a1858 100644 --- a/src/ray/raylet/scheduling/scheduler_stats.h +++ b/src/ray/raylet/scheduling/scheduler_stats.h @@ -21,6 +21,7 @@ #include "ray/common/task/task_spec.h" #include "ray/raylet/scheduling/internal.h" #include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/stats/metric.h" namespace ray { namespace raylet { @@ -34,7 +35,7 @@ class SchedulerStats { const ILocalTaskManager &local_task_manager); // Report metrics doesn't recompute the stats. - void RecordMetrics() const; + void RecordMetrics(); // Recompute the stats and report the result as string. std::string ComputeAndReportDebugStr(); @@ -78,6 +79,19 @@ class SchedulerStats { int64_t num_tasks_to_schedule_ = 0; /// Number of tasks to dispatch. int64_t num_tasks_to_dispatch_ = 0; + + /// Ray metrics + ray::stats::Gauge ray_metric_num_spilled_tasks_{ + /*name=*/"internal_num_spilled_tasks", + /*description=*/ + "The cumulative number of lease requeusts that this raylet has spilled to other " + "raylets.", + /*unit=*/"tasks"}; + + ray::stats::Gauge ray_metric_num_infeasible_scheduling_classes_{ + /*name=*/"internal_num_infeasible_scheduling_classes", + /*description=*/"The number of unique scheduling classes that are infeasible.", + /*unit=*/"tasks"}; }; } // namespace raylet diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 7058b96847b3..6162847962f3 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -129,11 +129,11 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, // We need to record so that the metric exists. This way, we report that 0 // processes have started before a task runs on the node (as opposed to the // metric not existing at all). - stats::NumWorkersStarted.Record(0); - stats::NumWorkersStartedFromCache.Record(0); - stats::NumCachedWorkersSkippedJobMismatch.Record(0); - stats::NumCachedWorkersSkippedDynamicOptionsMismatch.Record(0); - stats::NumCachedWorkersSkippedRuntimeEnvironmentMismatch.Record(0); + ray_metric_num_workers_started_.Record(0); + ray_metric_num_workers_started_from_cache_.Record(0); + ray_metric_num_cached_workers_skipped_job_mismatch_.Record(0); + ray_metric_num_cached_workers_skipped_dynamic_options_mismatch_.Record(0); + ray_metric_num_cached_workers_skipped_runtime_environment_mismatch_.Record(0); // We used to ignore SIGCHLD here. The code is moved to raylet main.cc to support the // subreaper feature. for (const auto &entry : worker_commands) { @@ -529,7 +529,7 @@ std::tuple WorkerPool::StartWorkerProcess( auto start = std::chrono::high_resolution_clock::now(); // Start a process and measure the startup time. Process proc = StartProcess(worker_command_args, env); - stats::NumWorkersStarted.Record(1); + ray_metric_num_workers_started_.Record(1); RAY_LOG(INFO) << "Started worker process with pid " << proc.GetId() << ", the token is " << worker_startup_token_counter_; if (!IsIOWorkerType(worker_type)) { @@ -1420,11 +1420,11 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( } skip_reason_count[reason]++; if (reason == WorkerUnfitForTaskReason::DYNAMIC_OPTIONS_MISMATCH) { - stats::NumCachedWorkersSkippedDynamicOptionsMismatch.Record(1); + ray_metric_num_cached_workers_skipped_dynamic_options_mismatch_.Record(1); } else if (reason == WorkerUnfitForTaskReason::RUNTIME_ENV_MISMATCH) { - stats::NumCachedWorkersSkippedRuntimeEnvironmentMismatch.Record(1); + ray_metric_num_cached_workers_skipped_runtime_environment_mismatch_.Record(1); } else if (reason == WorkerUnfitForTaskReason::ROOT_MISMATCH) { - stats::NumCachedWorkersSkippedJobMismatch.Record(1); + ray_metric_num_cached_workers_skipped_job_mismatch_.Record(1); } return false; }; @@ -1463,7 +1463,7 @@ void WorkerPool::PopWorker(std::shared_ptr pop_worker_request) } RAY_CHECK(worker->GetAssignedJobId().IsNil() || worker->GetAssignedJobId() == pop_worker_request->job_id); - stats::NumWorkersStartedFromCache.Record(1); + ray_metric_num_workers_started_from_cache_.Record(1); PopWorkerCallbackAsync(pop_worker_request->callback, worker, PopWorkerStatus::OK); } diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 36ba3601168a..2f8b02e3b588 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -41,6 +41,7 @@ #include "ray/ipc/client_connection.h" #include "ray/raylet/runtime_env_agent_client.h" #include "ray/raylet/worker.h" +#include "ray/stats/metric.h" namespace ray { @@ -916,6 +917,34 @@ class WorkerPool : public WorkerPoolInterface { // cgroup after it is created. bool enable_resource_isolation_ = false; + /// Ray metrics + ray::stats::Sum ray_metric_num_workers_started_{ + /*name=*/"internal_num_processes_started", + /*description=*/"The total number of worker processes the worker pool has created.", + /*unit=*/"processes"}; + + ray::stats::Sum ray_metric_num_cached_workers_skipped_job_mismatch_{ + /*name=*/"internal_num_processes_skipped_job_mismatch", + /*description=*/"The total number of cached workers skipped due to job mismatch.", + /*unit=*/"workers"}; + + ray::stats::Sum ray_metric_num_cached_workers_skipped_runtime_environment_mismatch_{ + /*name=*/"internal_num_processes_skipped_runtime_environment_mismatch", + /*description=*/ + "The total number of cached workers skipped due to runtime environment mismatch.", + /*unit=*/"workers"}; + + ray::stats::Sum ray_metric_num_cached_workers_skipped_dynamic_options_mismatch_{ + /*name=*/"internal_num_processes_skipped_dynamic_options_mismatch", + /*description=*/ + "The total number of cached workers skipped due to dynamic options mismatch.", + /*unit=*/"workers"}; + + ray::stats::Sum ray_metric_num_workers_started_from_cache_{ + /*name=*/"internal_num_processes_started_from_cache", + /*description=*/"The total number of workers started from a cached worker process.", + /*unit=*/"workers"}; + friend class WorkerPoolTest; friend class WorkerPoolDriverRegisteredTest; }; diff --git a/src/ray/stats/metric_defs.h b/src/ray/stats/metric_defs.h index ac07a5de106e..dfe22aa345c4 100644 --- a/src/ray/stats/metric_defs.h +++ b/src/ray/stats/metric_defs.h @@ -135,156 +135,6 @@ DECLARE_stats(memory_manager_worker_eviction_total); /// Core Worker Task Manager DECLARE_stats(total_lineage_bytes); -/// The below items are legacy implementation of metrics. -/// TODO(sang): Use DEFINE_stats instead. - -/// -/// Common -/// -/// RPC -static Histogram GcsLatency("gcs_latency", - "The latency of a GCS (by default Redis) operation.", - "us", - {100, 200, 300, 400, 500, 600, 700, 800, 900, 1000}, - {kCustomKey}); - -/// -/// Raylet Metrics -/// - -/// Raylet Resource Manager -static Gauge TestMetrics("local_available_resource", - "The available resources on this node.", - "", - {kResourceNameKey}); - -static Gauge LocalTotalResource("local_total_resource", - "The total resources on this node.", - "", - {kResourceNameKey}); - -/// Object Manager. -static Gauge ObjectStoreUsedMemory( - "object_store_used_memory", - "Amount of memory currently occupied in the object store.", - "bytes"); - -static Gauge ObjectStoreFallbackMemory( - "object_store_fallback_memory", - "Amount of memory in fallback allocations in the filesystem.", - "bytes"); - -static Gauge ObjectStoreLocalObjects("object_store_num_local_objects", - "Number of objects currently in the object store.", - "objects"); - -static Gauge ObjectManagerPullRequests("object_manager_num_pull_requests", - "Number of active pull requests for objects.", - "requests"); - -/// Object Directory. -static Gauge ObjectDirectoryLocationSubscriptions( - "object_directory_subscriptions", - "Number of object location subscriptions. If this is high, the raylet is attempting " - "to pull a lot of objects.", - "subscriptions"); - -static Gauge ObjectDirectoryLocationUpdates( - "object_directory_updates", - "Number of object location updates per second., If this is high, the raylet is " - "attempting to pull a lot of objects and/or the locations for objects are frequently " - "changing (e.g. due to many object copies or evictions).", - "updates"); - -static Gauge ObjectDirectoryLocationLookups( - "object_directory_lookups", - "Number of object location lookups per second. If this is high, the raylet is " - "waiting on a lot of objects.", - "lookups"); - -static Gauge ObjectDirectoryAddedLocations( - "object_directory_added_locations", - "Number of object locations added per second., If this is high, a lot of objects " - "have been added on this node.", - "additions"); - -static Gauge ObjectDirectoryRemovedLocations( - "object_directory_removed_locations", - "Number of object locations removed per second. If this is high, a lot of objects " - "have been removed from this node.", - "removals"); - -static Sum NumWorkersStarted( - "internal_num_processes_started", - "The total number of worker processes the worker pool has created.", - "processes"); - -static Sum NumCachedWorkersSkippedJobMismatch( - "internal_num_processes_skipped_job_mismatch", - "The total number of cached workers skipped due to job mismatch.", - "workers"); - -static Sum NumCachedWorkersSkippedRuntimeEnvironmentMismatch( - "internal_num_processes_skipped_runtime_environment_mismatch", - "The total number of cached workers skipped due to runtime environment mismatch.", - "workers"); - -static Sum NumCachedWorkersSkippedDynamicOptionsMismatch( - "internal_num_processes_skipped_dynamic_options_mismatch", - "The total number of cached workers skipped due to dynamic options mismatch.", - "workers"); - -static Sum NumWorkersStartedFromCache( - "internal_num_processes_started_from_cache", - "The total number of workers started from a cached worker process.", - "workers"); - -static Gauge NumSpilledTasks("internal_num_spilled_tasks", - "The cumulative number of lease requeusts that this raylet " - "has spilled to other raylets.", - "tasks"); - -static Gauge NumInfeasibleSchedulingClasses( - "internal_num_infeasible_scheduling_classes", - "The number of unique scheduling classes that are infeasible.", - "tasks"); - -/// -/// GCS Server Metrics -/// - -/// Workers -static Count UnintentionalWorkerFailures( - "unintentional_worker_failures_total", - "Number of worker failures that are not intentional. For example, worker failures " - "due to system related errors.", - ""); - -/// Nodes -static Count NodeFailureTotal( - "node_failure_total", - "Number of node failures that have happened in the cluster.", - ""); - -/// Resources -static Histogram OutboundHeartbeatSizeKB("outbound_heartbeat_size_kb", - "Outbound heartbeat payload size", - "kb", - {10, 50, 100, 1000, 10000, 100000}); - -static Histogram GcsUpdateResourceUsageTime( - "gcs_update_resource_usage_time", - "The average RTT of a UpdateResourceUsage RPC.", - "ms", - {1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000}, - {kCustomKey}); - -/// Testing -static Gauge LiveActors("live_actors", "Number of live actors.", "actors"); -static Gauge RestartingActors("restarting_actors", - "Number of restarting actors.", - "actors"); - } // namespace stats } // namespace ray diff --git a/src/ray/stats/stats_test.cc b/src/ray/stats/stats_test.cc index a333ba335313..47d2c22c7663 100644 --- a/src/ray/stats/stats_test.cc +++ b/src/ray/stats/stats_test.cc @@ -22,7 +22,8 @@ #include "absl/memory/memory.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "ray/stats/metric_defs.h" +#include "ray/stats/metric.h" +#include "ray/stats/tag_defs.h" DEFINE_stats(test_hist, "TestStats", @@ -93,12 +94,18 @@ class StatsTest : public ::testing::Test { virtual void TearDown() override { Shutdown(); } void Shutdown() { ray::stats::Shutdown(); } + + protected: + ray::stats::Gauge ray_metric_test_metrics_{"local_available_resource", + "The available resources on this node.", + "", + {stats::kResourceNameKey}}; }; TEST_F(StatsTest, F) { for (size_t i = 0; i < 20; ++i) { std::this_thread::sleep_for(std::chrono::milliseconds(50)); - stats::TestMetrics().Record(2345); + ray_metric_test_metrics_.Record(2345); } } From 6a6e494fc6979e6b821ba3c2e3fac905bbc81890 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 13 Aug 2025 13:21:41 -0700 Subject: [PATCH 0672/1566] [release test] remove "multi" test frequency (#55561) not used anywhere any more Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/ray_release/buildkite/settings.py | 2 -- release/ray_release/schema.json | 2 -- release/ray_release/tests/test_buildkite.py | 4 ++-- release/ray_release/tests/test_config.py | 2 +- 4 files changed, 3 insertions(+), 7 deletions(-) diff --git a/release/ray_release/buildkite/settings.py b/release/ray_release/buildkite/settings.py index da8e88245443..17ab6f9db657 100644 --- a/release/ray_release/buildkite/settings.py +++ b/release/ray_release/buildkite/settings.py @@ -11,7 +11,6 @@ class Frequency(enum.Enum): MANUAL = enum.auto() ANY = enum.auto() - MULTI = enum.auto() NIGHTLY = enum.auto() NIGHTLY_3x = enum.auto() WEEKLY = enum.auto() @@ -22,7 +21,6 @@ class Frequency(enum.Enum): "manual": Frequency.MANUAL, "any": Frequency.ANY, "any-smoke": Frequency.ANY, - "multi": Frequency.MULTI, "nightly": Frequency.NIGHTLY, "nightly-3x": Frequency.NIGHTLY_3x, "weekly": Frequency.WEEKLY, diff --git a/release/ray_release/schema.json b/release/ray_release/schema.json index 7be825405dea..7ad30d9c3ce1 100644 --- a/release/ray_release/schema.json +++ b/release/ray_release/schema.json @@ -36,7 +36,6 @@ "type": "string", "enum": [ "manual", - "multi", "nightly", "nightly-3x", "weekly", @@ -201,7 +200,6 @@ "type": "string", "enum": [ "manual", - "multi", "nightly", "nightly-3x", "weekly", diff --git a/release/ray_release/tests/test_buildkite.py b/release/ray_release/tests/test_buildkite.py index f8fbf964a8bb..79e709cfb434 100644 --- a/release/ray_release/tests/test_buildkite.py +++ b/release/ray_release/tests/test_buildkite.py @@ -411,7 +411,7 @@ def testFilterTests(self, *args): { "name": "other_2", "frequency": "nightly", - "smoke_test": {"frequency": "multi"}, + "smoke_test": {"frequency": "manual"}, "team": "team_2", "run": {"type": "job"}, } @@ -586,7 +586,7 @@ def testGetStep(self): "name": "test", "frequency": "nightly", "run": {"script": "test_script.py"}, - "smoke_test": {"frequency": "multi"}, + "smoke_test": {"frequency": "nightly"}, } ) diff --git a/release/ray_release/tests/test_config.py b/release/ray_release/tests/test_config.py index b0ec1c4b1a2c..c815dfc1bba6 100644 --- a/release/ray_release/tests/test_config.py +++ b/release/ray_release/tests/test_config.py @@ -37,7 +37,7 @@ "wait_for_nodes": {"num_nodes": 2, "timeout": 100}, "type": "client", }, - "smoke_test": {"run": {"timeout": 20}, "frequency": "multi"}, + "smoke_test": {"run": {"timeout": 20}, "frequency": "nightly"}, "alert": "default", } From b1859003c95a3bce095dbac0a00776ee61778df6 Mon Sep 17 00:00:00 2001 From: Matvei Pashkovskii Date: Thu, 14 Aug 2025 00:10:21 +0300 Subject: [PATCH 0673/1566] [Serve.llm] Add LMCacheConnectorV1 support for kv_transfer_config (#54579) Signed-off-by: Matvei Pashkovskii Signed-off-by: Kourosh Hakhamaneshi Co-authored-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../examples/rayserve-deepseek-example.md | 4 +- .../examples/rayserve-llm-example.md | 4 +- .../pd_dissagregation/lmcache/mooncake.yaml | 17 ++ .../lmcache/nixl/decoder.yaml | 12 ++ .../lmcache/nixl/prefiller.yaml | 12 ++ .../lmcache_mooncake_example.yaml | 34 ++++ .../lmcache_nixl_example.yaml | 45 +++++ .../pd_dissagregation/nixl_example.yaml | 33 ++++ doc/source/serve/index.md | 2 +- doc/source/serve/llm/index.md | 61 ++++++ doc/source/serve/llm/pd-dissagregation.md | 179 ++++++++++++++++++ .../llm/{serving-llms.rst => quick-start.rst} | 61 +----- .../_internal/serve/configs/server_models.py | 25 +++ .../llm/vllm/kv_transfer_backends/__init__.py | 16 ++ .../llm/vllm/kv_transfer_backends/base.py | 32 ++++ .../lmcache_connector_v1.py | 61 ++++++ .../kv_transfer_backends/nixl_connector.py | 45 +++++ .../serve/deployments/llm/vllm/vllm_engine.py | 32 +--- .../prefill_decode_disagg.py | 3 +- .../llm/vllm/kv_transfer_backends/__init__.py | 1 + .../test_lmcache_connector_v1.py | 86 +++++++++ .../test_nixl_connector.py | 48 +++++ .../test_prefill_decode_disagg.py | 3 +- .../test_prefill_decode_disagg_gpu.py | 12 +- .../serve/configs/lmcache/decoder.yaml | 12 ++ .../serve/configs/lmcache/prefiller.yaml | 12 ++ ...a_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml | 52 +++++ .../ray_release/byod/byod_llm_lmcache_test.sh | 7 + release/release_tests.yaml | 20 ++ 29 files changed, 831 insertions(+), 100 deletions(-) create mode 100644 doc/source/serve/doc_code/pd_dissagregation/lmcache/mooncake.yaml create mode 100644 doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/decoder.yaml create mode 100644 doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/prefiller.yaml create mode 100644 doc/source/serve/doc_code/pd_dissagregation/lmcache_mooncake_example.yaml create mode 100644 doc/source/serve/doc_code/pd_dissagregation/lmcache_nixl_example.yaml create mode 100644 doc/source/serve/doc_code/pd_dissagregation/nixl_example.yaml create mode 100644 doc/source/serve/llm/index.md create mode 100644 doc/source/serve/llm/pd-dissagregation.md rename doc/source/serve/llm/{serving-llms.rst => quick-start.rst} (94%) create mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/__init__.py create mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py create mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/lmcache_connector_v1.py create mode 100644 python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py create mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/__init__.py create mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_lmcache_connector_v1.py create mode 100644 python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_nixl_connector.py create mode 100644 release/llm_tests/serve/configs/lmcache/decoder.yaml create mode 100644 release/llm_tests/serve/configs/lmcache/prefiller.yaml create mode 100644 release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml create mode 100755 release/ray_release/byod/byod_llm_lmcache_test.sh diff --git a/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md b/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md index 3b9fff613fd3..8f147de21742 100644 --- a/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md +++ b/doc/source/cluster/kubernetes/examples/rayserve-deepseek-example.md @@ -2,7 +2,7 @@ # Serve Deepseek R1 using Ray Serve LLM -This guide provides a step-by-step guide for deploying a Large Language Model (LLM) using Ray Serve LLM on Kubernetes. Leveraging KubeRay, Ray Serve, and vLLM, this guide deploys the `deepseek-ai/DeepSeek-R1` model from Hugging Face, enabling scalable, efficient, and OpenAI-compatible LLM serving within a Kubernetes environment. See [Serving LLMs](serving_llms) for information on Ray Serve LLM. +This guide provides a step-by-step guide for deploying a Large Language Model (LLM) using Ray Serve LLM on Kubernetes. Leveraging KubeRay, Ray Serve, and vLLM, this guide deploys the `deepseek-ai/DeepSeek-R1` model from Hugging Face, enabling scalable, efficient, and OpenAI-compatible LLM serving within a Kubernetes environment. See [Serving LLMs](serving-llms) for information on Ray Serve LLM. ## Prerequisites A DeepSeek model requires 2 nodes, each equipped with 8 H100 80 GB GPUs. @@ -108,7 +108,7 @@ In particular, this configuration loads the model from `deepseek-ai/DeepSeek-R1` This setting enables pipeline parallelism, dividing the model's entire set of layers into 2 sequential stages. Adjust this variable according to cluster worker node numbers. -The `deployment_config` section sets the desired number of engine replicas. See [Serving LLMs](serving_llms) and the [Ray Serve config documentation](serve-in-production-config-file) for more information. +The `deployment_config` section sets the desired number of engine replicas. See [Serving LLMs](serving-llms) and the [Ray Serve config documentation](serve-in-production-config-file) for more information. Wait for the RayService resource to become healthy. You can confirm its status by running the following command: ```sh diff --git a/doc/source/cluster/kubernetes/examples/rayserve-llm-example.md b/doc/source/cluster/kubernetes/examples/rayserve-llm-example.md index b3aa86b24997..77e48dc45064 100644 --- a/doc/source/cluster/kubernetes/examples/rayserve-llm-example.md +++ b/doc/source/cluster/kubernetes/examples/rayserve-llm-example.md @@ -2,7 +2,7 @@ # Serve a Large Language Model using Ray Serve LLM on Kubernetes -This guide provides a step-by-step guide for deploying a Large Language Model (LLM) using Ray Serve LLM on Kubernetes. Leveraging KubeRay, Ray Serve, and vLLM, this guide deploys the `Qwen/Qwen2.5-7B-Instruct` model from Hugging Face, enabling scalable, efficient, and OpenAI-compatible LLM serving within a Kubernetes environment. See [Serving LLMs](serving_llms) for information on Ray Serve LLM. +This guide provides a step-by-step guide for deploying a Large Language Model (LLM) using Ray Serve LLM on Kubernetes. Leveraging KubeRay, Ray Serve, and vLLM, this guide deploys the `Qwen/Qwen2.5-7B-Instruct` model from Hugging Face, enabling scalable, efficient, and OpenAI-compatible LLM serving within a Kubernetes environment. See [Serving LLMs](serving-llms) for information on Ray Serve LLM. ## Prerequisites @@ -72,7 +72,7 @@ serveConfigV2: | max_ongoing_requests: 128 ``` -In particular, this configuration loads the model from `Qwen/Qwen2.5-7B-Instruct` and sets its `model_id` to `qwen2.5-7b-instruct`. The `LLMDeployment` initializes the underlying LLM engine using the `engine_kwargs` field. The `deployment_config` section sets the desired number of engine replicas. By default, each replica requires one GPU. See [Serving LLMs](serving_llms) and the [Ray Serve config documentation](serve-in-production-config-file) for more information. +In particular, this configuration loads the model from `Qwen/Qwen2.5-7B-Instruct` and sets its `model_id` to `qwen2.5-7b-instruct`. The `LLMDeployment` initializes the underlying LLM engine using the `engine_kwargs` field. The `deployment_config` section sets the desired number of engine replicas. By default, each replica requires one GPU. See [Serving LLMs](serving-llms) and the [Ray Serve config documentation](serve-in-production-config-file) for more information. Wait for the RayService resource to become healthy. You can confirm its status by running the following command: ```sh diff --git a/doc/source/serve/doc_code/pd_dissagregation/lmcache/mooncake.yaml b/doc/source/serve/doc_code/pd_dissagregation/lmcache/mooncake.yaml new file mode 100644 index 000000000000..e6430eff7549 --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/lmcache/mooncake.yaml @@ -0,0 +1,17 @@ +# LMCache configuration for Mooncake store backend +chunk_size: 256 +local_device: "cpu" +remote_url: "mooncakestore://storage-server:49999/" +remote_serde: "naive" +pipelined_backend: false +local_cpu: false +max_local_cpu_size: 5 +extra_config: + local_hostname: "compute-node-001" + metadata_server: "etcd://metadata-server:2379" + protocol: "rdma" + device_name: "rdma0" + master_server_address: "storage-server:49999" + global_segment_size: 3355443200 # 3.125 GB + local_buffer_size: 1073741824 # 1 GB + transfer_timeout: 1 diff --git a/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/decoder.yaml b/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/decoder.yaml new file mode 100644 index 000000000000..34e22d421997 --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/decoder.yaml @@ -0,0 +1,12 @@ +local_cpu: False +max_local_cpu_size: 0 +max_local_disk_size: 0 +remote_serde: NULL + +enable_nixl: True +nixl_role: "receiver" +nixl_receiver_host: "localhost" +nixl_receiver_port: 55555 +nixl_buffer_size: 1073741824 # 1GB +nixl_buffer_device: "cuda" +nixl_enable_gc: True diff --git a/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/prefiller.yaml b/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/prefiller.yaml new file mode 100644 index 000000000000..544551b78a78 --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/lmcache/nixl/prefiller.yaml @@ -0,0 +1,12 @@ +local_cpu: False +max_local_cpu_size: 0 +max_local_disk_size: 0 +remote_serde: NULL + +enable_nixl: True +nixl_role: "sender" +nixl_receiver_host: "localhost" +nixl_receiver_port: 55555 +nixl_buffer_size: 1073741824 # 1GB +nixl_buffer_device: "cuda" +nixl_enable_gc: True diff --git a/doc/source/serve/doc_code/pd_dissagregation/lmcache_mooncake_example.yaml b/doc/source/serve/doc_code/pd_dissagregation/lmcache_mooncake_example.yaml new file mode 100644 index 000000000000..d7702cbf5d5b --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/lmcache_mooncake_example.yaml @@ -0,0 +1,34 @@ +# Example: LMCacheConnectorV1 with Mooncake store configuration + +applications: + - args: + prefill_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: &kv_transfer_config + kv_connector: LMCacheConnectorV1 + kv_role: kv_both + deployment_config: + autoscaling_config: + min_replicas: 2 + max_replicas: 2 + runtime_env: &runtime_env + env_vars: + LMCACHE_CONFIG_FILE: lmcache_mooncake.yaml + LMCACHE_USE_EXPERIMENTAL: "True" + + decode_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: *kv_transfer_config + deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 1 + runtime_env: *runtime_env + + import_path: ray.serve.llm:build_pd_openai_app + name: pd-disaggregation-lmcache-mooncake + route_prefix: "/" diff --git a/doc/source/serve/doc_code/pd_dissagregation/lmcache_nixl_example.yaml b/doc/source/serve/doc_code/pd_dissagregation/lmcache_nixl_example.yaml new file mode 100644 index 000000000000..4284627055ae --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/lmcache_nixl_example.yaml @@ -0,0 +1,45 @@ +# Example: LMCacheConnectorV1 with NIXL backend configuration + +applications: + - args: + prefill_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: + kv_connector: LMCacheConnectorV1 + kv_role: kv_producer + kv_connector_extra_config: + discard_partial_chunks: false + lmcache_rpc_port: producer1 + deployment_config: + autoscaling_config: + min_replicas: 2 + max_replicas: 2 + runtime_env: + env_vars: + LMCACHE_CONFIG_FILE: lmcache_prefiller.yaml + LMCACHE_USE_EXPERIMENTAL: "True" + + decode_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: + kv_connector: LMCacheConnectorV1 + kv_role: kv_consumer + kv_connector_extra_config: + discard_partial_chunks: false + lmcache_rpc_port: consumer1 + deployment_config: + autoscaling_config: + min_replicas: 6 + max_replicas: 6 + runtime_env: + env_vars: + LMCACHE_CONFIG_FILE: lmcache_decoder.yaml + LMCACHE_USE_EXPERIMENTAL: "True" + + import_path: ray.serve.llm:build_pd_openai_app + name: pd-disaggregation-lmcache-nixl + route_prefix: "/" diff --git a/doc/source/serve/doc_code/pd_dissagregation/nixl_example.yaml b/doc/source/serve/doc_code/pd_dissagregation/nixl_example.yaml new file mode 100644 index 000000000000..ac30e0e7f8ef --- /dev/null +++ b/doc/source/serve/doc_code/pd_dissagregation/nixl_example.yaml @@ -0,0 +1,33 @@ +# Example: Basic NIXLConnector configuration for prefill/decode disaggregation + +applications: + - args: + prefill_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: + kv_connector: NixlConnector + kv_role: kv_producer + engine_id: engine1 + deployment_config: + autoscaling_config: + min_replicas: 2 + max_replicas: 4 + + decode_config: + model_loading_config: + model_id: meta-llama/Llama-3.1-8B-Instruct + engine_kwargs: + kv_transfer_config: + kv_connector: NixlConnector + kv_role: kv_consumer + engine_id: engine2 + deployment_config: + autoscaling_config: + min_replicas: 6 + max_replicas: 10 + + import_path: ray.serve.llm:build_pd_openai_app + name: pd-disaggregation-nixl + route_prefix: "/" diff --git a/doc/source/serve/index.md b/doc/source/serve/index.md index 7c581ab947d4..5cc34ad54f61 100644 --- a/doc/source/serve/index.md +++ b/doc/source/serve/index.md @@ -13,7 +13,7 @@ multi-app model-multiplexing configure-serve-deployment http-guide -Serving LLMs +Serving LLMs Production Guide monitoring resource-allocation diff --git a/doc/source/serve/llm/index.md b/doc/source/serve/llm/index.md new file mode 100644 index 000000000000..358704b9d101 --- /dev/null +++ b/doc/source/serve/llm/index.md @@ -0,0 +1,61 @@ +(serving-llms)= + +# Serving LLMs + +Ray Serve LLM APIs allow users to deploy multiple LLM models together with a familiar Ray Serve API, while providing compatibility with the OpenAI API. + +## Features + +- ⚡️ Automatic scaling and load balancing +- 🌐 Unified multi-node multi-model deployment +- 🔌 OpenAI compatible +- 🔄 Multi-LoRA support with shared base models +- 🚀 Engine agnostic architecture (i.e. vLLM, SGLang, etc) + +## Requirements + +```bash +pip install ray[serve,llm]>=2.43.0 vllm>=0.7.2 + +# Suggested dependencies when using vllm 0.7.2: +pip install xgrammar==0.1.11 pynvml==12.0.0 +``` + +## Key Components + +The ray.serve.llm module provides two key deployment types for serving LLMs: + +### LLMServer + +The LLMServer sets up and manages the vLLM engine for model serving. It can be used standalone or combined with your own custom Ray Serve deployments. + +### OpenAiIngress + +This deployment provides an OpenAI-compatible FastAPI ingress and routes traffic to the appropriate model for multi-model services. The following endpoints are supported: + +- `/v1/chat/completions`: Chat interface (ChatGPT-style) +- `/v1/completions`: Text completion +- `/v1/embeddings`: Text embeddings +- `/v1/models`: List available models +- `/v1/models/{model}`: Model information + +## Configuration + +### LLMConfig + +The LLMConfig class specifies model details such as: + +- Model loading sources (HuggingFace or cloud storage) +- Hardware requirements (accelerator type) +- Engine arguments (e.g. vLLM engine kwargs) +- LoRA multiplexing configuration +- Serve auto-scaling parameters + +```{toctree} +:hidden: + +Quickstart +Prefill/Decode Disaggregation +``` + + diff --git a/doc/source/serve/llm/pd-dissagregation.md b/doc/source/serve/llm/pd-dissagregation.md new file mode 100644 index 000000000000..96f8859ef8e6 --- /dev/null +++ b/doc/source/serve/llm/pd-dissagregation.md @@ -0,0 +1,179 @@ +(serve-pd-dissagregation)= +# Prefill/Decode Disaggregation with KV Transfer Backends + +## Overview + +Prefill/decode disaggregation is a technique that separates the prefill phase (processing input prompts) from the decode phase (generating tokens). This separation allows for: + +- **Better resource utilization**: Prefill operations can use high-memory, high-compute nodes while decode operations can use optimized inference nodes +- **Improved scalability**: Each phase can be scaled independently based on demand +- **Cost optimization**: Different node types can be used for different workloads + +vLLM v1 supports two main KV transfer backends: +1. **NIXLConnector**: Network-based KV cache transfer using NIXL (Network Interface for eXtended LLM). Simple setup with automatic network configuration. +2. **LMCacheConnectorV1**: Advanced caching solution with support for various storage backends. **Requires etcd server** for metadata coordination between prefill and decode instances. + +## Prerequisites + +Make sure that you are using vLLM v1 by setting `VLLM_USE_V1=1` environment variable. + +For NixlConnector make sure nixl is installed. If you use [ray-project/ray-llm](https://hub.docker.com/r/rayproject/ray-llm/tags) images you automatically get the dependency installed. + +For LMCacheConnectorV1, also install LMCache: + +```bash +pip install lmcache +``` + +## NIXLConnector Backend + +The NIXLConnector provides network-based KV cache transfer between prefill and decode servers using a side channel communication mechanism. + +### Basic Configuration + +```python +from ray.serve.llm import LLMConfig, build_pd_openai_app + +# Prefill configuration +prefill_config = LLMConfig( + model_loading_config={ + "model_id": "meta-llama/Llama-3.1-8B-Instruct" + }, + engine_kwargs={ + "kv_transfer_config": { + "kv_connector": "NixlConnector", + "kv_role": "kv_both", + "engine_id": "engine1" + } + } +) + +# Decode configuration +decode_config = LLMConfig( + model_loading_config={ + "model_id": "meta-llama/Llama-3.1-8B-Instruct" + }, + engine_kwargs={ + "kv_transfer_config": { + "kv_connector": "NixlConnector", + "kv_role": "kv_both", + "engine_id": "engine2" + } + } +) + +pd_config = dict( + prefill_config=prefill_config, + decode_config=decode_config, +) + +app = build_pd_openai_app(pd_config) +serve.run(app) +``` + +### Complete YAML Configuration Example + +Here's a complete configuration file for NIXLConnector: + +```{literalinclude} ../doc_code/pd_dissagregation/nixl_example.yaml +:language: yaml +``` + +## LMCacheConnectorV1 Backend + +LMCacheConnectorV1 provides a more advanced caching solution with support for multiple storage backends and enhanced performance features. + +### Scenario 1: LMCache with NIXL Backend + +This configuration uses LMCache with a NIXL-based storage backend for network communication. + +```{literalinclude} ../doc_code/pd_dissagregation/lmcache_nixl_example.yaml +:language: yaml +``` + +#### LMCache Configuration for NIXL Backend + +Create `lmcache_prefiller.yaml`: + +```{literalinclude} ../doc_code/pd_dissagregation/lmcache/nixl/prefiller.yaml +:language: yaml +``` + +Create `lmcache_decoder.yaml`: + +```{literalinclude} ../doc_code/pd_dissagregation/lmcache/nixl/decoder.yaml +:language: yaml +``` + +**Important**: The `LMCACHE_CONFIG_FILE` environment variable must point to an existing configuration file that is accessible within the Ray Serve container or worker environment. Ensure these configuration files are properly mounted or available in your deployment environment. + +### Scenario 2: LMCache with Mooncake Store Backend + +This configuration uses LMCache with Mooncake store, a high-performance distributed storage system. + +```{literalinclude} ../doc_code/pd_dissagregation/lmcache_mooncake_example.yaml +:language: yaml +``` + +#### LMCache Configuration for Mooncake Store + +Create `lmcache_mooncake.yaml`: + +```{literalinclude} ../doc_code/pd_dissagregation/lmcache/mooncake.yaml +:language: yaml +``` + +**Important Notes**: +- The `LMCACHE_CONFIG_FILE` environment variable must point to an existing configuration file that is accessible within the Ray Serve container or worker environment. +- For Mooncake store backend, ensure the etcd metadata server is running and accessible at the specified address. +- Verify that RDMA devices and storage servers are properly configured and accessible. +- In containerized deployments, mount configuration files with appropriate read permissions (e.g., `chmod 644`). +- Ensure all referenced hostnames and IP addresses in configuration files are resolvable from the deployment environment. + +## Deployment and Testing + +### Deploy the Application + +1. **Start required services** (for LMCacheConnectorV1): + + ```bash + # Start etcd server if not already running + docker run -d --name etcd-server \ + -p 2379:2379 -p 2380:2380 \ + quay.io/coreos/etcd:latest \ + etcd --listen-client-urls http://0.0.0.0:2379 \ + --advertise-client-urls http://localhost:2379 + + # See https://docs.lmcache.ai/kv_cache/mooncake.html for more details. + mooncake_master --port 49999 + ``` + +2. **Save your configuration** to a YAML file (e.g., `mooncake.yaml`) + +3. **Deploy using Ray Serve CLI**: + ```bash + serve deploy pd_config.yaml + ``` + +### Test the Deployment + +Test with a simple request: + +```bash +curl -X POST "http://localhost:8000/v1/chat/completions" \ + -H "Content-Type: application/json" \ + -d '{ + "model": "meta-llama/Llama-3.1-8B-Instruct", + "messages": [ + {"role": "user", "content": "Explain the benefits of prefill/decode disaggregation"} + ], + "max_tokens": 100, + "temperature": 0.7 + }' +``` + +## Related Resources + +LMCache prefill/decode dissagregation official guide: + +- [dissagregated serving](https://docs.lmcache.ai/disaggregated_prefill/nixl/index.html) diff --git a/doc/source/serve/llm/serving-llms.rst b/doc/source/serve/llm/quick-start.rst similarity index 94% rename from doc/source/serve/llm/serving-llms.rst rename to doc/source/serve/llm/quick-start.rst index 25657d6a9c9e..438dc948c751 100644 --- a/doc/source/serve/llm/serving-llms.rst +++ b/doc/source/serve/llm/quick-start.rst @@ -1,61 +1,4 @@ -.. _serving_llms: - -Serving LLMs -============ - -Ray Serve LLM APIs allow users to deploy multiple LLM models together with a familiar Ray Serve API, while providing compatibility with the OpenAI API. - -Features --------- -- ⚡️ Automatic scaling and load balancing -- 🌐 Unified multi-node multi-model deployment -- 🔌 OpenAI compatible -- 🔄 Multi-LoRA support with shared base models -- 🚀 Engine agnostic architecture (i.e. vLLM, SGLang, etc) - -Requirements --------------- - -.. code-block:: bash - - pip install ray[serve,llm]>=2.43.0 vllm>=0.7.2 - - # Suggested dependencies when using vllm 0.7.2: - pip install xgrammar==0.1.11 pynvml==12.0.0 - - -Key Components --------------- - -The :ref:`ray.serve.llm ` module provides two key deployment types for serving LLMs: - -LLMServer -~~~~~~~~~~~~~~~~~~ - -The LLMServer sets up and manages the vLLM engine for model serving. It can be used standalone or combined with your own custom Ray Serve deployments. - -OpenAiIngress -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -This deployment provides an OpenAI-compatible FastAPI ingress and routes traffic to the appropriate model for multi-model services. The following endpoints are supported: - -- ``/v1/chat/completions``: Chat interface (ChatGPT-style) -- ``/v1/completions``: Text completion -- ``/v1/embeddings``: Text embeddings -- ``/v1/models``: List available models -- ``/v1/models/{model}``: Model information - -Configuration -------------- - -LLMConfig -~~~~~~~~~ -The :class:`LLMConfig ` class specifies model details such as: - -- Model loading sources (HuggingFace or cloud storage) -- Hardware requirements (accelerator type) -- Engine arguments (e.g. vLLM engine kwargs) -- LoRA multiplexing configuration -- Serve auto-scaling parameters +.. _quick-start: Quickstart Examples ------------------- @@ -894,4 +837,4 @@ We collect data about the following features and attributes: - GPU type used and number of GPUs used If you would like to opt-out from usage data collection, you can follow :ref:`Ray usage stats ` -to disable it. +to disable it. \ No newline at end of file diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index ca046794cfa8..d7f3b27a1944 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -34,6 +34,9 @@ ENABLE_WORKER_PROCESS_SETUP_HOOK, MODEL_RESPONSE_BATCH_TIMEOUT_MS, ) +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends import ( + SUPPORTED_BACKENDS as SUPPORTED_KV_CONNECTOR_BACKENDS, +) from ray.llm._internal.serve.observability.logging import get_logger from ray.serve._private.config import DeploymentConfig @@ -456,6 +459,28 @@ def get_serve_options( return deployment_config + def setup_engine_backend(self): + self._setup_kv_connector_backend() + + def _setup_kv_connector_backend(self): + """Private method to setup kv connector dependning on the local deployment state""" + # 1. validate that the backend is one of the backends supported (Nixl or LMCache) + kv_transfer_config = self.engine_kwargs.get("kv_transfer_config") + if not kv_transfer_config: + return + + kv_connector = kv_transfer_config.get("kv_connector") + if not kv_connector: + raise ValueError("Connector type is not specified.") + + kv_connector_backend_class = SUPPORTED_KV_CONNECTOR_BACKENDS.get(kv_connector) + if not kv_connector_backend_class: + raise ValueError(f"Unsupported connector type: {kv_connector}") + + # 2. Setup the backend + kv_connector_backend = kv_connector_backend_class(kv_transfer_config) + kv_connector_backend.setup() + def _is_yaml_file(filename: str) -> bool: yaml_extensions = [".yml", ".yaml", ".json"] diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/__init__.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/__init__.py new file mode 100644 index 000000000000..72e24a18bad5 --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/__init__.py @@ -0,0 +1,16 @@ +from typing import Dict + +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.base import ( + BaseConnectorBackend, +) +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.lmcache_connector_v1 import ( + LMCacheConnectorV1Backend, +) +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.nixl_connector import ( + NixlConnectorBackend, +) + +SUPPORTED_BACKENDS: Dict[str, BaseConnectorBackend] = { + "LMCacheConnectorV1": LMCacheConnectorV1Backend, + "NixlConnector": NixlConnectorBackend, +} diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py new file mode 100644 index 000000000000..420f7f44a06f --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py @@ -0,0 +1,32 @@ +import abc +import random +import string +from typing import Any, Dict + + +class BaseConnectorBackend(abc.ABC): + def __init__(self, kv_transfer_config: Dict[str, Any]): + """Base class for connector backends. + + Args: + kv_transfer_config: Configuration for the KV transfer. + """ + self.kv_transfer_config = kv_transfer_config + + def _get_unique_suffix(self, len: int = 6) -> str: + """Generates unique alphanumeric suffix. + + Args: + len: Length of the suffix to generate. + Returns: + A unique alphanumeric suffix string of specified length. + """ + return "".join(random.choices(string.ascii_letters + string.digits, k=len)) + + @abc.abstractmethod + def setup(self) -> None: + """Setup the connector backend. + + This method is called to setup the connector backend. + """ + pass diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/lmcache_connector_v1.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/lmcache_connector_v1.py new file mode 100644 index 000000000000..85945c30eb14 --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/lmcache_connector_v1.py @@ -0,0 +1,61 @@ +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.base import ( + BaseConnectorBackend, +) +from ray.llm._internal.serve.observability.logging import get_logger + +logger = get_logger(__name__) + + +def _check_lmcache_installed(): + try: + import lmcache # noqa: F401 + except ImportError: + raise ImportError( + "LMCache is not installed. Please install it with `pip install lmcache`." + ) + + +class LMCacheConnectorV1Backend(BaseConnectorBackend): + + KV_CONNECTOR_EXTRA_CONFIG_FIELD_NAME = "kv_connector_extra_config" + LMCACHE_RPC_PORT_FIELD_NAME = "lmcache_rpc_port" + DEFAULT_LMCACHE_RPC_PORT_NAME = "lmcache_rpc_port" + + def setup(self) -> None: + """Initialize the LMCache connector backend. + This method sets up the LMCache connector by: + 1. Checking if LMCache is installed. + 2. Configuring the LMCache RPC port if not already set. + 3. Creating a unique LMCache RPC port across replicas. + Raises: + ImportError: If LMCache is not installed. + """ + _check_lmcache_installed() + + if ( + LMCacheConnectorV1Backend.KV_CONNECTOR_EXTRA_CONFIG_FIELD_NAME + not in self.kv_transfer_config + ): + return + + kv_connector_extra_config = self.kv_transfer_config[ + LMCacheConnectorV1Backend.KV_CONNECTOR_EXTRA_CONFIG_FIELD_NAME + ] + lmcache_rpc_port = ( + kv_connector_extra_config.get( + LMCacheConnectorV1Backend.LMCACHE_RPC_PORT_FIELD_NAME, + LMCacheConnectorV1Backend.DEFAULT_LMCACHE_RPC_PORT_NAME, + ) + + self._get_unique_suffix() + ) + if ( + LMCacheConnectorV1Backend.LMCACHE_RPC_PORT_FIELD_NAME + in kv_connector_extra_config + ): + logger.info( + f"Setting unique {lmcache_rpc_port=} for current replica LMCacheConnectorV1." + ) + + kv_connector_extra_config[ + LMCacheConnectorV1Backend.LMCACHE_RPC_PORT_FIELD_NAME + ] = lmcache_rpc_port diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py new file mode 100644 index 000000000000..5cdbb37f744e --- /dev/null +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py @@ -0,0 +1,45 @@ +import os + +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.base import ( + BaseConnectorBackend, +) + + +class NixlConnectorBackend(BaseConnectorBackend): + def setup(self) -> None: + """Initialize the NIXL connector backend. + + This method sets up the NIXL (Network Interface for eXtended LLM) connector by: + 1. Verifying that the required vLLM environment variables are supported + 2. Configuring the side channel port and host if not already set + 3. Creating a unique engine ID across replicas + + The side channel is used for KV cache transfer between vLLM instances. + + Raises: + ValueError: If the current vLLM version doesn't support the required + NIXL environment variables. + """ + from vllm import envs as vllm_envs, utils as vllm_utils + + if ( + "VLLM_NIXL_SIDE_CHANNEL_PORT" not in vllm_envs.environment_variables + or "VLLM_NIXL_SIDE_CHANNEL_HOST" not in vllm_envs.environment_variables + ): + raise ValueError( + "This vLLM version does not support VLLM_NIXL_SIDE_CHANNEL_PORT" + "or VLLM_NIXL_SIDE_CHANNEL_HOST environment variable. It's likely" + "that you are using an older version of vLLM." + ) + + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): + port: int = vllm_utils.get_open_port() + os.environ["VLLM_NIXL_SIDE_CHANNEL_PORT"] = str(port) + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): + os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm_utils.get_ip() + + # We need to overwrite the engine_id to make it unique across replicas. + engine_id = self.kv_transfer_config.get("engine_id", self._get_unique_suffix()) + host = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_HOST + port = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_PORT + self.kv_transfer_config["engine_id"] = "-".join([engine_id, host, str(port)]) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index e3ba947266ad..a6654ca89c4e 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -1,6 +1,5 @@ import argparse import os -import uuid from typing import TYPE_CHECKING, AsyncGenerator, Optional, Tuple, Union from starlette.datastructures import State @@ -118,41 +117,14 @@ def __init__( raise ImportError( "vLLM is not installed. Please install it with `pip install ray[llm]`." ) - from vllm import envs as vllm_envs, utils as vllm_utils + from vllm import envs as vllm_envs if not vllm_envs.VLLM_USE_V1: logger.warning( "vLLM v0 is getting fully deprecated. As a result in Ray Serve LLM only v1 is supported. Only when you know what you are doing, you can set VLLM_USE_V1=0" ) - # TODO (Kourosh): This validation logic belongs to the PDProxy module. - # Pick a random port in P/D case. - kv_transfer_config = llm_config.engine_kwargs.get("kv_transfer_config", None) - if kv_transfer_config is not None: - connector_type = getattr(kv_transfer_config, "kv_connector", "") - if connector_type != "NixlConnector": - raise ValueError("Only NixlConnector is supported for kv transfer.") - if ( - "VLLM_NIXL_SIDE_CHANNEL_PORT" not in vllm_envs.environment_variables - or "VLLM_NIXL_SIDE_CHANNEL_HOST" not in vllm_envs.environment_variables - ): - raise ValueError( - "This vLLM version does not support VLLM_NIXL_SIDE_CHANNEL_PORT" - "or VLLM_NIXL_SIDE_CHANNEL_HOST environment variable. It's likely" - "that you are using an older version of vLLM." - ) - - if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): - port: int = vllm_utils.get_open_port() - os.environ["VLLM_NIXL_SIDE_CHANNEL_PORT"] = str(port) - if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): - os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm_utils.get_ip() - - # We need to overwrite the engine_id to make it unique across replicas. - engine_id = getattr(kv_transfer_config, "engine_id", str(uuid.uuid4())) - host = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_HOST - port = vllm_envs.VLLM_NIXL_SIDE_CHANNEL_PORT - kv_transfer_config.engine_id = "-".join([engine_id, host, str(port)]) + self.llm_config.setup_engine_backend() self._running = False diff --git a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py index 2d66fac44c53..d825a30a2161 100644 --- a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py +++ b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py @@ -5,7 +5,6 @@ from typing import Any, AsyncGenerator, Dict, Union from pydantic import Field -from vllm.config import KVTransferConfig from ray import serve from ray.llm._internal.common.base_pydantic import BaseModelExtended @@ -187,7 +186,7 @@ def build_pd_openai_app(pd_serving_args: dict) -> Application: if "kv_transfer_config" not in config.engine_kwargs: config.engine_kwargs.update( { - "kv_transfer_config": KVTransferConfig( + "kv_transfer_config": dict( kv_connector="NixlConnector", kv_role="kv_both", engine_id=str(uuid.uuid4()), diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/__init__.py b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/__init__.py new file mode 100644 index 000000000000..0a39e777cc97 --- /dev/null +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/__init__.py @@ -0,0 +1 @@ +# Test package for KV transfer backends diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_lmcache_connector_v1.py b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_lmcache_connector_v1.py new file mode 100644 index 000000000000..e6da3303343f --- /dev/null +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_lmcache_connector_v1.py @@ -0,0 +1,86 @@ +import pytest + +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.lmcache_connector_v1 import ( + LMCacheConnectorV1Backend, +) + + +class TestLMCacheConnectorV1Backend: + @pytest.fixture + def lmcache_backend_basic(self): + """Fixture for basic LMCacheConnectorV1Backend.""" + return LMCacheConnectorV1Backend( + { + "kv_connector": "LMCacheConnectorV1", + "kv_role": "kv_both", + } + ) + + @pytest.fixture + def lmcache_backend_with_extra(self): + """Fixture for LMCacheConnectorV1Backend with extra config.""" + return LMCacheConnectorV1Backend( + { + "kv_connector": "LMCacheConnectorV1", + "kv_role": "kv_both", + "kv_connector_extra_config": {}, + } + ) + + @pytest.fixture + def lmcache_backend_with_port(self): + """Fixture for LMCacheConnectorV1Backend with port config.""" + return LMCacheConnectorV1Backend( + { + "kv_connector": "LMCacheConnectorV1", + "kv_role": "kv_both", + "kv_connector_extra_config": { + "lmcache_rpc_port": LMCacheConnectorV1Backend.DEFAULT_LMCACHE_RPC_PORT_NAME, + }, + } + ) + + def test_setup_basic_config(self, lmcache_backend_basic): + """Test setup with basic configuration (no kv_connector_extra_config).""" + lmcache_backend_basic.setup() + + # Configuration should remain unchanged + assert ( + "kv_connector_extra_config" not in lmcache_backend_basic.kv_transfer_config + ) + + def test_setup_with_extra_config_no_port(self, lmcache_backend_with_extra): + """Test setup with extra config but no lmcache_rpc_port.""" + lmcache_backend_with_extra.setup() + + # Should add lmcache_rpc_port with default DEFAULT_LMCACHE_RPC_PORT_NAME + random string + assert ( + "lmcache_rpc_port" + in lmcache_backend_with_extra.kv_transfer_config[ + "kv_connector_extra_config" + ] + ) + port_value = lmcache_backend_with_extra.kv_transfer_config[ + "kv_connector_extra_config" + ]["lmcache_rpc_port"] + assert port_value.startswith( + LMCacheConnectorV1Backend.DEFAULT_LMCACHE_RPC_PORT_NAME + ) + assert len(port_value) > len( + LMCacheConnectorV1Backend.DEFAULT_LMCACHE_RPC_PORT_NAME + ) # Should have random string appended + + def test_setup_with_existing_port(self, lmcache_backend_with_port): + """Test setup with existing lmcache_rpc_port configuration.""" + original_port = lmcache_backend_with_port.kv_transfer_config[ + "kv_connector_extra_config" + ]["lmcache_rpc_port"] + + lmcache_backend_with_port.setup() + + # Should modify the existing port by appending random string + new_port = lmcache_backend_with_port.kv_transfer_config[ + "kv_connector_extra_config" + ]["lmcache_rpc_port"] + assert new_port.startswith(original_port) + assert len(new_port) > len(original_port) # Should have random string appended diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_nixl_connector.py b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_nixl_connector.py new file mode 100644 index 000000000000..aabe766c4a5a --- /dev/null +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/vllm/kv_transfer_backends/test_nixl_connector.py @@ -0,0 +1,48 @@ +import os +import uuid +from unittest.mock import patch + +import pytest + +from ray.llm._internal.serve.deployments.llm.vllm.kv_transfer_backends.nixl_connector import ( + NixlConnectorBackend, +) + + +@pytest.fixture +def engine_id(): + """Fixture for the engine ID.""" + return str(uuid.uuid4()) + + +class TestNixlConnectorBackend: + @pytest.fixture + def nixl_backend(self, engine_id: str): + """Fixture for the NixlConnectorBackend.""" + return NixlConnectorBackend( + dict( + kv_connector="NixlConnector", + kv_role="kv_both", + engine_id=engine_id, + ) + ) + + @pytest.mark.parametrize( + "env_vars", + [ + {}, + {"VLLM_NIXL_SIDE_CHANNEL_PORT": "8080"}, + {"VLLM_NIXL_SIDE_CHANNEL_HOST": "127.0.0.1"}, + { + "VLLM_NIXL_SIDE_CHANNEL_PORT": "8080", + "VLLM_NIXL_SIDE_CHANNEL_HOST": "127.0.0.1", + }, + ], + ) + def test_setup_environment_variables(self, nixl_backend, env_vars, engine_id: str): + """Test that setup configures environment variables and overrides engine_id correctly.""" + with patch.dict("os.environ", env_vars, clear=True): + nixl_backend.setup() + assert "VLLM_NIXL_SIDE_CHANNEL_PORT" in os.environ + assert "VLLM_NIXL_SIDE_CHANNEL_HOST" in os.environ + assert engine_id in nixl_backend.kv_transfer_config["engine_id"] diff --git a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py index c6444a8b7152..75c50a0ba443 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py +++ b/python/ray/llm/tests/serve/cpu/deployments/prefill_decode_disagg/test_prefill_decode_disagg.py @@ -9,7 +9,8 @@ class TestServingArgsParsing: - def test_parse_dict(self): + @pytest.mark.parametrize("kv_connector", ["NixlConnector", "LMCacheConnectorV1"]) + def test_parse_dict(self, kv_connector: str): prefill_config = LLMConfig( model_loading_config=dict( model_id="qwen-0.5b", diff --git a/python/ray/llm/tests/serve/gpu/deployments/llm/prefill_decode_disagg/test_prefill_decode_disagg_gpu.py b/python/ray/llm/tests/serve/gpu/deployments/llm/prefill_decode_disagg/test_prefill_decode_disagg_gpu.py index 6083ae772ea2..b4da68d79087 100644 --- a/python/ray/llm/tests/serve/gpu/deployments/llm/prefill_decode_disagg/test_prefill_decode_disagg_gpu.py +++ b/python/ray/llm/tests/serve/gpu/deployments/llm/prefill_decode_disagg/test_prefill_decode_disagg_gpu.py @@ -1,7 +1,7 @@ import sys +from unittest.mock import MagicMock import pytest -from vllm.config import KVTransferConfig from ray.llm._internal.serve.configs.server_models import ( LLMConfig, @@ -15,17 +15,23 @@ class TestPDDisaggVLLMEngine: """Test vLLM engine under PD disagg.""" @pytest.mark.asyncio + @pytest.mark.parametrize("kv_connector", ["NixlConnector", "LMCacheConnectorV1"]) async def test_pd_disagg_vllm_engine( self, # llm_config is a fixture defined in serve.tests.conftest.py llm_config: LLMConfig, + kv_connector: str, + monkeypatch, ): """Test vLLM engine under PD disagg.""" + if kv_connector == "LMCacheConnectorV1": + lmcache_mock = MagicMock() + monkeypatch.setitem(sys.modules, "lmcache", lmcache_mock) llm_config = llm_config.model_copy(deep=True) llm_config.engine_kwargs.update( { - "kv_transfer_config": KVTransferConfig( - kv_connector="NixlConnector", + "kv_transfer_config": dict( + kv_connector=kv_connector, kv_role="kv_both", ), } diff --git a/release/llm_tests/serve/configs/lmcache/decoder.yaml b/release/llm_tests/serve/configs/lmcache/decoder.yaml new file mode 100644 index 000000000000..34e22d421997 --- /dev/null +++ b/release/llm_tests/serve/configs/lmcache/decoder.yaml @@ -0,0 +1,12 @@ +local_cpu: False +max_local_cpu_size: 0 +max_local_disk_size: 0 +remote_serde: NULL + +enable_nixl: True +nixl_role: "receiver" +nixl_receiver_host: "localhost" +nixl_receiver_port: 55555 +nixl_buffer_size: 1073741824 # 1GB +nixl_buffer_device: "cuda" +nixl_enable_gc: True diff --git a/release/llm_tests/serve/configs/lmcache/prefiller.yaml b/release/llm_tests/serve/configs/lmcache/prefiller.yaml new file mode 100644 index 000000000000..544551b78a78 --- /dev/null +++ b/release/llm_tests/serve/configs/lmcache/prefiller.yaml @@ -0,0 +1,12 @@ +local_cpu: False +max_local_cpu_size: 0 +max_local_disk_size: 0 +remote_serde: NULL + +enable_nixl: True +nixl_role: "sender" +nixl_receiver_host: "localhost" +nixl_receiver_port: 55555 +nixl_buffer_size: 1073741824 # 1GB +nixl_buffer_device: "cuda" +nixl_enable_gc: True diff --git a/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml new file mode 100644 index 000000000000..87636bb790b5 --- /dev/null +++ b/release/llm_tests/serve/configs/serve_llama_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml @@ -0,0 +1,52 @@ +applications: + - args: + + prefill_config: + model_loading_config: + model_id: neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 + accelerator_type: A10G + engine_kwargs: + max_model_len: 8192 + tensor_parallel_size: 1 + enforce_eager: true + kv_transfer_config: + kv_connector: LMCacheConnectorV1 + kv_role: kv_producer + kv_connector_extra_config: + discard_partial_chunks: false + lmcache_rpc_port: producer1 + deployment_config: + autoscaling_config: + min_replicas: 2 + max_replicas: 2 + runtime_env: + env_vars: + LMCACHE_CONFIG_FILE: configs/lmcache/prefiller.yaml + LMCACHE_USE_EXPERIMENTAL: "True" + + decode_config: + model_loading_config: + model_id: neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 + accelerator_type: A10G + engine_kwargs: + max_model_len: 8192 + tensor_parallel_size: 1 + enforce_eager: true + kv_transfer_config: + kv_connector: LMCacheConnectorV1 + kv_role: kv_consumer + kv_connector_extra_config: + discard_partial_chunks: false + lmcache_rpc_port: consumer1 + deployment_config: + autoscaling_config: + min_replicas: 6 + max_replicas: 6 + runtime_env: + env_vars: + LMCACHE_CONFIG_FILE: configs/lmcache/decoder.yaml + LMCACHE_USE_EXPERIMENTAL: "True" + + import_path: ray.serve.llm:build_pd_openai_app + name: llm-endpoint + route_prefix: / diff --git a/release/ray_release/byod/byod_llm_lmcache_test.sh b/release/ray_release/byod/byod_llm_lmcache_test.sh new file mode 100755 index 000000000000..f3a1a7d77497 --- /dev/null +++ b/release/ray_release/byod/byod_llm_lmcache_test.sh @@ -0,0 +1,7 @@ +#!/bin/bash +# This script is used to build an extra layer on top of the base llm image +# to run the llm sglang release tests + +set -exo pipefail + +pip3 install "lmcache>=0.3.2" diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 8d096b1f2d44..a854d73267af 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4553,6 +4553,26 @@ long_running: false script: python run_llm_serve_test_and_bms.py --serve-config-file configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml --skip-hf-token true +- name: llm_serve_llama_3dot1_8B_quantized_tp1_2p6d_lmcache + frequency: nightly + python: "3.11" + group: llm-serve + team: llm + working_dir: llm_tests/serve + + cluster: + byod: + type: llm-cu128 + post_build_script: byod_llm_lmcache_test.sh + cluster_compute: llm_auto_select_worker.yaml + # NOTE: Important for getting the correct secrets + cloud_id: cld_wy5a6nhazplvu32526ams61d98 + project_id: prj_lhlrf1u5yv8qz9qg3xzw8fkiiq + + run: + timeout: 3600 + long_running: false + script: python run_llm_serve_test_and_bms.py --serve-config-file configs/serve_llama_3dot1_8b_quantized_tp1_2p6d_lmcache.yaml --skip-hf-token true ############## # LLM Batch From d95ba7d48ed2881acf9b94946574deb0a4c2d516 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 13 Aug 2025 14:35:25 -0700 Subject: [PATCH 0674/1566] [core][ci] Kill debug wheel step (#55571) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index dcd69269f6a7..01256a3b63c8 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -19,17 +19,6 @@ steps: - manylinux - forge - - label: ":tapioca: build: debug wheel" - tags: - - linux_wheels - - oss - instance_type: large - commands: - - bazel run //ci/ray_ci:build_in_docker -- wheel --build-type debug --upload - depends_on: - - manylinux - - forge - - label: ":tapioca: build: jar" key: java_wheels tags: From 79d1f13dab7fff87dc186696b9ceb8dc6e33e820 Mon Sep 17 00:00:00 2001 From: Kishanthan Thangarajah Date: Wed, 13 Aug 2025 19:21:05 -0400 Subject: [PATCH 0675/1566] [serve] Support custom autoscaling at deployment level for ray serve (#55253) ## Why are these changes needed? This PR adds initial changes to support custom auto scaling with ray serve. Two new classes (AutoscalingContext and AutoscalingPolicy) have been introduced as per discussions in https://docs.google.com/document/d/1KtMUDz1O3koihG6eh-QcUqudZjNAX3NsqqOMYh3BoWA/edit?usp=sharing. Related RFC https://github.com/ray-project/ray/issues/41135#issuecomment-3156717488 The changes will have two phases. Phase1 is to add required changes to support custom autoscaling at deployment level. Phase2 is to extend the changes to support custom autoscaling at application level. This PR is part of Phase1 (deployment level custom autoscaling). ## Related issue number Related to #41135 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Kishanthan Thangarajah Signed-off-by: Douglas Strodtman --- doc/source/serve/api/index.md | 1 + .../ray/serve/_private/autoscaling_state.py | 64 ++- python/ray/serve/_private/constants.py | 4 +- python/ray/serve/autoscaling_policy.py | 34 +- python/ray/serve/config.py | 42 +- python/ray/serve/tests/test_controller.py | 10 +- python/ray/serve/tests/test_deploy_app_2.py | 5 +- .../tests/unit/test_autoscaling_policy.py | 366 +++++++++--------- python/ray/serve/tests/unit/test_config.py | 7 +- src/ray/protobuf/serve.proto | 13 +- 10 files changed, 310 insertions(+), 236 deletions(-) diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index 37ae947210cb..52d8c502eb3f 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -83,6 +83,7 @@ See the [model composition guide](serve-model-composition) for how to update cod serve.config.gRPCOptions serve.config.HTTPOptions serve.config.AutoscalingConfig + serve.config.AutoscalingPolicy serve.config.RequestRouterConfig ``` diff --git a/python/ray/serve/_private/autoscaling_state.py b/python/ray/serve/_private/autoscaling_state.py index e8adb9562998..c95abfa6cb5c 100644 --- a/python/ray/serve/_private/autoscaling_state.py +++ b/python/ray/serve/_private/autoscaling_state.py @@ -1,7 +1,7 @@ import logging import time from dataclasses import dataclass -from typing import Dict, List, Optional, Set +from typing import Any, Dict, List, Optional, Set from ray.serve._private.common import ( DeploymentHandleSource, @@ -78,6 +78,45 @@ class ReplicaMetricReport: timestamp: float +@dataclass +class AutoscalingContext: + """Rich context provided to custom autoscaling policies.""" + + # Deployment information + deployment_id: DeploymentID + deployment_name: str + app_name: Optional[str] + + # Current state + current_num_replicas: int + target_num_replicas: int + running_replicas: List[ReplicaID] + + # Built-in metrics + total_num_requests: float + queued_requests: Optional[float] + requests_per_replica: Dict[ReplicaID, float] + + # Custom metrics + aggregated_metrics: Dict[str, Dict[ReplicaID, float]] + raw_metrics: Dict[str, Dict[ReplicaID, List[float]]] + + # Capacity and bounds + capacity_adjusted_min_replicas: int + capacity_adjusted_max_replicas: int + + # Policy state + policy_state: Dict[str, Any] + + # Timing + last_scale_up_time: Optional[float] + last_scale_down_time: Optional[float] + current_time: Optional[float] + + # Config + config: Optional[Any] + + class AutoscalingState: """Manages autoscaling for a single deployment.""" @@ -270,16 +309,29 @@ def get_decision_num_replicas( `_skip_bound_check` is True, then the bounds are not applied. """ - decision_num_replicas = self._policy( - curr_target_num_replicas=curr_target_num_replicas, + autoscaling_context: AutoscalingContext = AutoscalingContext( + deployment_id=self._deployment_id, + deployment_name=self._deployment_id.name, + app_name=self._deployment_id.app_name, + current_num_replicas=len(self._running_replicas), + target_num_replicas=curr_target_num_replicas, + running_replicas=self._running_replicas, total_num_requests=self.get_total_num_requests(), - num_running_replicas=len(self._running_replicas), - config=self._config, capacity_adjusted_min_replicas=self.get_num_replicas_lower_bound(), capacity_adjusted_max_replicas=self.get_num_replicas_upper_bound(), - policy_state=self._policy_state, + policy_state=self._policy_state.copy(), + current_time=time.time(), + config=self._config, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, ) + decision_num_replicas, self._policy_state = self._policy(autoscaling_context) + if _skip_bound_check: return decision_num_replicas diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 166abcae2246..e6aaac1f62ad 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -343,7 +343,9 @@ ) # The default autoscaling policy to use if none is specified. -DEFAULT_AUTOSCALING_POLICY = "ray.serve.autoscaling_policy:default_autoscaling_policy" +DEFAULT_AUTOSCALING_POLICY_NAME = ( + "ray.serve.autoscaling_policy:default_autoscaling_policy" +) # Feature flag to enable collecting all queued and ongoing request # metrics at handles instead of replicas. ON by default. diff --git a/python/ray/serve/autoscaling_policy.py b/python/ray/serve/autoscaling_policy.py index 2cabe736a870..eb443a46c03a 100644 --- a/python/ray/serve/autoscaling_policy.py +++ b/python/ray/serve/autoscaling_policy.py @@ -1,7 +1,8 @@ import logging import math -from typing import Any, Dict, Optional +from typing import Any, Dict, Optional, Tuple +from ray.serve._private.autoscaling_state import AutoscalingContext from ray.serve._private.constants import CONTROL_LOOP_INTERVAL_S, SERVE_LOGGER_NAME from ray.serve.config import AutoscalingConfig from ray.util.annotations import PublicAPI @@ -83,14 +84,8 @@ def _calculate_desired_num_replicas( @PublicAPI(stability="alpha") def replica_queue_length_autoscaling_policy( - curr_target_num_replicas: int, - total_num_requests: int, - num_running_replicas: int, - config: Optional[AutoscalingConfig], - capacity_adjusted_min_replicas: int, - capacity_adjusted_max_replicas: int, - policy_state: Dict[str, Any], -) -> int: + ctx: AutoscalingContext, +) -> Tuple[int, Dict[str, Any]]: """The default autoscaling policy based on basic thresholds for scaling. There is a minimum threshold for the average queue length in the cluster to scale up and a maximum threshold to scale down. Each period, a 'scale @@ -100,15 +95,26 @@ def replica_queue_length_autoscaling_policy( `get_decision_num_replicas` is called once every CONTROL_LOOP_PERIOD_S seconds. """ + + curr_target_num_replicas: int = ctx.target_num_replicas + total_num_requests: int = ctx.total_num_requests + num_running_replicas: int = ctx.current_num_replicas + config: Optional[AutoscalingConfig] = ctx.config + capacity_adjusted_min_replicas: int = ctx.capacity_adjusted_min_replicas + capacity_adjusted_max_replicas: int = ctx.capacity_adjusted_max_replicas + policy_state: Dict[str, Any] = ctx.policy_state decision_counter = policy_state.get("decision_counter", 0) if num_running_replicas == 0: # When 0 replicas and queries are queued, scale up the replicas if total_num_requests > 0: - return max( - math.ceil(1 * config.get_upscaling_factor()), - curr_target_num_replicas, + return ( + max( + math.ceil(1 * config.get_upscaling_factor()), + curr_target_num_replicas, + ), + policy_state, ) - return curr_target_num_replicas + return curr_target_num_replicas, policy_state decision_num_replicas = curr_target_num_replicas @@ -153,7 +159,7 @@ def replica_queue_length_autoscaling_policy( decision_counter = 0 policy_state["decision_counter"] = decision_counter - return decision_num_replicas + return decision_num_replicas, policy_state default_autoscaling_policy = replica_queue_length_autoscaling_policy diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index d06c8f8cddf4..c58570eff39b 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -17,7 +17,7 @@ ) from ray._common.utils import import_attr from ray.serve._private.constants import ( - DEFAULT_AUTOSCALING_POLICY, + DEFAULT_AUTOSCALING_POLICY_NAME, DEFAULT_GRPC_PORT, DEFAULT_HTTP_HOST, DEFAULT_HTTP_PORT, @@ -162,6 +162,15 @@ def get_request_router_class(self) -> Callable: DEFAULT_METRICS_INTERVAL_S = 10.0 +@PublicAPI(stability="alpha") +class AutoscalingPolicy(BaseModel): + name: Union[str, Callable] = Field( + default=DEFAULT_AUTOSCALING_POLICY_NAME, + description="Name of the policy function or the import path of the policy. " + "Will be the concatenation of the policy module and the policy name if user passed a callable.", + ) + + @PublicAPI(stability="stable") class AutoscalingConfig(BaseModel): """Config for the Serve Autoscaler.""" @@ -174,7 +183,7 @@ class AutoscalingConfig(BaseModel): initial_replicas: Optional[NonNegativeInt] = None max_replicas: PositiveInt = 1 - target_ongoing_requests: PositiveFloat = DEFAULT_TARGET_ONGOING_REQUESTS + target_ongoing_requests: Optional[PositiveFloat] = DEFAULT_TARGET_ONGOING_REQUESTS metrics_interval_s: PositiveFloat = Field( default=DEFAULT_METRICS_INTERVAL_S, @@ -222,8 +231,12 @@ class AutoscalingConfig(BaseModel): # Cloudpickled policy definition. _serialized_policy_def: bytes = PrivateAttr(default=b"") - # Custom autoscaling config. Defaults to the request-based autoscaler. - _policy: Union[str, Callable] = PrivateAttr(default=DEFAULT_AUTOSCALING_POLICY) + # Autoscaling policy. This policy is deployment scoped. Defaults to the request-based autoscaler. + _policy: AutoscalingPolicy = Field(default_factory=AutoscalingPolicy) + + # This is to make `_policy` a normal field until its GA ready. + class Config: + underscore_attrs_are_private = True @validator("max_replicas", always=True) def replicas_settings_valid(cls, max_replicas, values): @@ -273,18 +286,21 @@ def serialize_policy(self) -> None: """ values = self.dict() policy = values.get("_policy") - if isinstance(policy, Callable): - policy = f"{policy.__module__}.{policy.__name__}" - if not policy: - policy = DEFAULT_AUTOSCALING_POLICY + policy_name = None + if isinstance(policy, dict): + policy_name = policy.get("name") + + if isinstance(policy_name, Callable): + policy_name = f"{policy_name.__module__}.{policy_name.__name__}" + + if not policy_name: + policy_name = DEFAULT_AUTOSCALING_POLICY_NAME - policy_path = policy - policy = import_attr(policy) + if not self._serialized_policy_def: + self._serialized_policy_def = cloudpickle.dumps(import_attr(policy_name)) - if not values.get("_serialized_policy_def"): - self._serialized_policy_def = cloudpickle.dumps(policy) - self._policy = policy_path + self._policy = AutoscalingPolicy(name=policy_name) @classmethod def default(cls): diff --git a/python/ray/serve/tests/test_controller.py b/python/ray/serve/tests/test_controller.py index d3696ca521fb..18ca6ce16ab2 100644 --- a/python/ray/serve/tests/test_controller.py +++ b/python/ray/serve/tests/test_controller.py @@ -9,7 +9,7 @@ from ray.serve._private.common import DeploymentID from ray.serve._private.config import DeploymentConfig from ray.serve._private.constants import ( - DEFAULT_AUTOSCALING_POLICY, + DEFAULT_AUTOSCALING_POLICY_NAME, SERVE_DEFAULT_APP_NAME, ) from ray.serve._private.deployment_info import DeploymentInfo @@ -79,9 +79,9 @@ def check_custom_exception() -> bool: @pytest.mark.parametrize( - "policy", [None, DEFAULT_AUTOSCALING_POLICY, default_autoscaling_policy] + "policy_name", [None, DEFAULT_AUTOSCALING_POLICY_NAME, default_autoscaling_policy] ) -def test_get_serve_instance_details_json_serializable(serve_instance, policy): +def test_get_serve_instance_details_json_serializable(serve_instance, policy_name): """Test the result from get_serve_instance_details is json serializable.""" controller = _get_global_client()._controller @@ -89,9 +89,9 @@ def test_get_serve_instance_details_json_serializable(serve_instance, policy): autoscaling_config = { "min_replicas": 1, "max_replicas": 10, - "_policy": policy, + "_policy": {"name": policy_name}, } - if policy is None: + if policy_name is None: autoscaling_config.pop("_policy") @serve.deployment(autoscaling_config=autoscaling_config) diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 0c379082e77b..98eff882586b 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -14,7 +14,10 @@ from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.common import DeploymentID, ReplicaID -from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME, SERVE_NAMESPACE +from ray.serve._private.constants import ( + SERVE_DEFAULT_APP_NAME, + SERVE_NAMESPACE, +) from ray.serve._private.test_utils import ( check_num_replicas_eq, ) diff --git a/python/ray/serve/tests/unit/test_autoscaling_policy.py b/python/ray/serve/tests/unit/test_autoscaling_policy.py index ac3960103f9d..93678aa00f29 100644 --- a/python/ray/serve/tests/unit/test_autoscaling_policy.py +++ b/python/ray/serve/tests/unit/test_autoscaling_policy.py @@ -2,6 +2,7 @@ import pytest +from ray.serve._private.autoscaling_state import AutoscalingContext from ray.serve._private.constants import CONTROL_LOOP_INTERVAL_S from ray.serve.autoscaling_policy import ( _calculate_desired_num_replicas, @@ -218,15 +219,27 @@ def test_scaling_factor_scale_up_from_0_replicas( upscale_smoothing_factor=10 if use_upscale_smoothing_factor else None, upscaling_factor=10 if use_upscaling_factor else None, ) - new_num_replicas = replica_queue_length_autoscaling_policy( - curr_target_num_replicas=0, + ctx = AutoscalingContext( + target_num_replicas=0, total_num_requests=1, - num_running_replicas=0, + current_num_replicas=0, config=config, capacity_adjusted_min_replicas=min_replicas, capacity_adjusted_max_replicas=max_replicas, policy_state={}, - ) + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, + ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) # 1 * 10 assert new_num_replicas == 10 @@ -236,15 +249,7 @@ def test_scaling_factor_scale_up_from_0_replicas( if use_upscaling_factor: config.upscaling_factor = 0.5 - new_num_replicas = replica_queue_length_autoscaling_policy( - curr_target_num_replicas=0, - total_num_requests=1, - num_running_replicas=0, - config=config, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state={}, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) # math.ceil(1 * 0.5) assert new_num_replicas == 1 @@ -271,15 +276,27 @@ def test_scaling_factor_scale_down_to_0_replicas( upscale_delay_s=0, downscale_delay_s=0, ) - new_num_replicas = replica_queue_length_autoscaling_policy( + ctx = AutoscalingContext( config=config, total_num_requests=0, - num_running_replicas=5, - curr_target_num_replicas=5, + current_num_replicas=5, + target_num_replicas=5, capacity_adjusted_min_replicas=min_replicas, capacity_adjusted_max_replicas=max_replicas, policy_state=policy_state, - ) + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, + ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 @@ -292,17 +309,12 @@ def test_scaling_factor_scale_down_to_0_replicas( config.downscaling_factor = 0.2 # policy_manager = AutoscalingPolicyManager(config) + ctx.total_num_requests = 0 num_replicas = 5 for _ in range(5): - num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=0, - num_running_replicas=num_replicas, - curr_target_num_replicas=num_replicas, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.current_num_replicas = num_replicas + ctx.target_num_replicas = num_replicas + num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert num_replicas == 0 @@ -328,164 +340,113 @@ def test_upscale_downscale_delay(self): overload_requests = 100 - # Scale up when there are 0 replicas and current_handle_queued_queries > 0 - new_num_replicas = replica_queue_length_autoscaling_policy( + ctx = AutoscalingContext( config=config, total_num_requests=1, - num_running_replicas=0, - curr_target_num_replicas=0, + current_num_replicas=0, + target_num_replicas=0, capacity_adjusted_min_replicas=min_replicas, capacity_adjusted_max_replicas=max_replicas, policy_state=policy_state, + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, ) + + # Scale up when there are 0 replicas and current_handle_queued_queries > 0 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 1 + ctx.total_num_requests = overload_requests + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + # We should scale up only after enough consecutive scale-up decisions. for i in range(upscale_wait_periods): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 1, i - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2 no_requests = 0 + ctx.total_num_requests = no_requests + ctx.current_num_replicas = 2 + ctx.target_num_replicas = 2 + # We should scale down only after enough consecutive scale-down decisions. for i in range(downscale_wait_periods): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=no_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2, i - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=no_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 # Get some scale-up decisions, but not enough to trigger a scale up. + ctx.total_num_requests = overload_requests + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + for i in range(int(upscale_wait_periods / 2)): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 1, i + ctx.total_num_requests = 0 + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + # Interrupt with a scale-down decision. - replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=0, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + replica_queue_length_autoscaling_policy(ctx=ctx) # The counter should be reset, so it should require `upscale_wait_periods` # more periods before we actually scale up. + + ctx.total_num_requests = overload_requests + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + for i in range(upscale_wait_periods): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 1, i - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2 + ctx.total_num_requests = no_requests + ctx.current_num_replicas = 2 + ctx.target_num_replicas = 2 + # Get some scale-down decisions, but not enough to trigger a scale down. for i in range(int(downscale_wait_periods / 2)): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=no_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2, i + ctx.total_num_requests = 200 + ctx.current_num_replicas = 2 + ctx.target_num_replicas = 2 + # Interrupt with a scale-up decision. - replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=200, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + replica_queue_length_autoscaling_policy(ctx=ctx) # The counter should be reset so it should require `downscale_wait_periods` # more periods before we actually scale down. + ctx.total_num_requests = no_requests + ctx.current_num_replicas = 2 + ctx.target_num_replicas = 2 for i in range(downscale_wait_periods): - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=no_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2, i - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=no_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 def test_replicas_delayed_startup(self): @@ -502,54 +463,53 @@ def test_replicas_delayed_startup(self): } config = AutoscalingConfig(**config) - # new_num_replicas = policy_manager.get_decision_num_replicas(1, 100, 1) - new_num_replicas = replica_queue_length_autoscaling_policy( + ctx = AutoscalingContext( config=config, - curr_target_num_replicas=1, + target_num_replicas=1, total_num_requests=100, - num_running_replicas=1, + current_num_replicas=1, capacity_adjusted_min_replicas=min_replicas, capacity_adjusted_max_replicas=max_replicas, policy_state=policy_state, + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, ) + + # new_num_replicas = policy_manager.get_decision_num_replicas(1, 100, 1) + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 100 # New target is 100, but no new replicas finished spinning up during this # timestep. - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - curr_target_num_replicas=100, - total_num_requests=100, - num_running_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.total_num_requests = 100 + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 100 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 100 # Two new replicas spun up during this timestep. - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - curr_target_num_replicas=100, - total_num_requests=123, - num_running_replicas=3, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.total_num_requests = 123 + ctx.current_num_replicas = 3 + ctx.target_num_replicas = 100 + + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 123 # A lot of queries got drained and a lot of replicas started up, but # new_num_replicas should not decrease, because of the downscale delay. - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - curr_target_num_replicas=123, - total_num_requests=10, - num_running_replicas=4, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.total_num_requests = 10 + ctx.current_num_replicas = 4 + ctx.target_num_replicas = 123 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 123 @pytest.mark.parametrize("delay_s", [30.0, 0.0]) @@ -578,32 +538,43 @@ def test_fluctuating_ongoing_requests(self, delay_s): underload_requests, overload_requests = 2 * 20, 100 trials = 1000 + ctx = AutoscalingContext( + config=config, + capacity_adjusted_min_replicas=min_replicas, + capacity_adjusted_max_replicas=max_replicas, + policy_state=policy_state, + target_num_replicas=None, + total_num_requests=None, + current_num_replicas=None, + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, + ) + new_num_replicas = None for trial in range(trials): if trial % 2 == 0: - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=overload_requests, - num_running_replicas=1, - curr_target_num_replicas=1, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.target_num_replicas = 1 + ctx.total_num_requests = overload_requests + ctx.current_num_replicas = 1 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) if delay_s > 0: assert new_num_replicas == 1, trial else: assert new_num_replicas == 2, trial else: - new_num_replicas = replica_queue_length_autoscaling_policy( - config=config, - total_num_requests=underload_requests, - num_running_replicas=2, - curr_target_num_replicas=2, - capacity_adjusted_min_replicas=min_replicas, - capacity_adjusted_max_replicas=max_replicas, - policy_state=policy_state, - ) + ctx.target_num_replicas = 2 + ctx.total_num_requests = underload_requests + ctx.current_num_replicas = 2 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) if delay_s > 0: assert new_num_replicas == 2, trial else: @@ -624,15 +595,28 @@ def test_single_replica_receives_all_requests(self, ongoing_requests): downscale_delay_s=0.0, ) - new_num_replicas = replica_queue_length_autoscaling_policy( + ctx = AutoscalingContext( config=config, total_num_requests=ongoing_requests, - num_running_replicas=4, - curr_target_num_replicas=4, + current_num_replicas=4, + target_num_replicas=4, capacity_adjusted_min_replicas=min_replicas, capacity_adjusted_max_replicas=max_replicas, policy_state=policy_state, - ) + deployment_id=None, + deployment_name=None, + app_name=None, + running_replicas=None, + current_time=None, + queued_requests=None, + requests_per_replica=None, + aggregated_metrics=None, + raw_metrics=None, + last_scale_up_time=None, + last_scale_down_time=None, + ) + + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == ongoing_requests / target_requests diff --git a/python/ray/serve/tests/unit/test_config.py b/python/ray/serve/tests/unit/test_config.py index eb5eb7017061..abf9eb51bc3d 100644 --- a/python/ray/serve/tests/unit/test_config.py +++ b/python/ray/serve/tests/unit/test_config.py @@ -7,7 +7,10 @@ from ray._common.pydantic_compat import ValidationError from ray._common.utils import import_attr from ray.serve._private.config import DeploymentConfig, ReplicaConfig, _proto_to_dict -from ray.serve._private.constants import DEFAULT_AUTOSCALING_POLICY, DEFAULT_GRPC_PORT +from ray.serve._private.constants import ( + DEFAULT_AUTOSCALING_POLICY_NAME, + DEFAULT_GRPC_PORT, +) from ray.serve._private.request_router import PowerOfTwoChoicesRequestRouter from ray.serve._private.utils import DEFAULT from ray.serve.autoscaling_policy import default_autoscaling_policy @@ -801,7 +804,7 @@ def test_autoscaling_policy_import_fails_for_non_existing_policy(): def test_default_autoscaling_policy_import_path(): """Test that default autoscaling policy can be imported.""" - policy = import_attr(DEFAULT_AUTOSCALING_POLICY) + policy = import_attr(DEFAULT_AUTOSCALING_POLICY_NAME) assert policy == default_autoscaling_policy diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index d26aa1e9ad81..a4d7202fb866 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -22,6 +22,14 @@ option java_outer_classname = "ServeProtos"; option java_multiple_files = true; +// Configuration options for Serve's autoscaling policy +message AutoscalingPolicy { + // Name of the policy function or the import path of the policy if user passed a string. + // Will be the concatenation of the policy module and the policy name if user passed a + // callable. + string name = 1; +} + // Configuration options for Serve's replica autoscaler. message AutoscalingConfig { // Minimal number of replicas, must be a non-negative integer. @@ -61,9 +69,8 @@ message AutoscalingConfig { // The cloudpickled policy definition. bytes _serialized_policy_def = 11; - // The import path of the policy if user passed a string. Will be the concatenation - // of the policy module and the policy name if user passed a callable. - string _policy = 12; + // The autoscaling policy definition. + AutoscalingPolicy _policy = 12; // Target number of in flight requests per replica. This is the primary configuration // knob for replica autoscaler. Lower the number, the more rapidly the replicas From 34aa573d16a670db4fd47699d153826ed4eb5a8f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 13 Aug 2025 16:35:17 -0700 Subject: [PATCH 0676/1566] [image] add base-extra layer (#55513) this the layer required to run on anyscale cloud and for running in ray release tests. we have been sourcing this layer from a tarball in s3; this change builds it from the source. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 82 ++++++++++ .buildkite/release/build.rayci.yml | 8 +- ci/build/build-anyscale-docker.sh | 16 -- ci/docker/ray.cpu.base-extra.wanda.yaml | 7 + ci/docker/ray.cuda.base-extra.wanda.yaml | 7 + ci/ray_ci/anyscale_docker_container.py | 4 +- ci/ray_ci/builder.py | 2 +- ci/ray_ci/docker_container.py | 1 + ci/ray_ci/ray_docker_container.py | 7 +- docker/base-extra/Dockerfile | 189 +++++++++++++++++++++++ 10 files changed, 297 insertions(+), 26 deletions(-) create mode 100644 ci/docker/ray.cpu.base-extra.wanda.yaml create mode 100644 ci/docker/ray.cuda.base-extra.wanda.yaml create mode 100644 docker/base-extra/Dockerfile diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 5af4f0a67b08..667d64c36cc8 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -20,6 +20,19 @@ steps: env: PYTHON_VERSION: "{{matrix}}" + - name: raycpubaseextra + label: "wanda: ray.py{{matrix}}.cpu.base-extra" + wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray" + depends_on: raycpubase + - name: raycudabase label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base" tags: @@ -46,6 +59,31 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" + - name: raycudabaseextra + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1-cudnn8" + - "11.8.0-cudnn8" + - "12.1.1-cudnn8" + - "12.3.2-cudnn9" + - "12.4.1-cudnn" + - "12.5.1-cudnn" + - "12.6.3-cudnn" + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray" + depends_on: raycudabase + - name: ray-llmbase label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base" tags: @@ -63,6 +101,21 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" + - name: ray-llmbaseextra + label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + matrix: + setup: + python: + - "3.11" + cuda: + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-llm" + depends_on: ray-llmbase + - name: ray-mlcudabase label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base" tags: @@ -82,6 +135,23 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" + - name: ray-mlcudabaseextra + label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + cuda: + - "12.1.1-cudnn8" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-ml" + depends_on: raycudabaseextra + - name: ray-mlcpubase label: "wanda: ray-ml.py{{matrix}}.cpu.base" tags: @@ -95,3 +165,15 @@ steps: - "3.11" env: PYTHON_VERSION: "{{matrix}}" + + - name: ray-mlcpubaseextra + label: "wanda: ray-ml.py{{matrix}}.cpu.base-extra" + wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray-ml" + depends_on: raycpubaseextra diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index f734ac593361..d3e04eb91848 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -12,8 +12,8 @@ steps: depends_on: - manylinux - forge - - raycudabase - - raycpubase + - raycudabaseextra + - raycpubaseextra matrix: setup: python: @@ -35,7 +35,7 @@ steps: depends_on: - manylinux - forge - - ray-llmbase + - ray-llmbaseextra matrix: - "3.11" @@ -48,7 +48,7 @@ steps: depends_on: - manylinux - forge - - ray-mlcudabase + - ray-mlcudabaseextra matrix: # This list should be kept in sync with the list of supported Python in # release test suite. We don't have ray-ml release tests for Python 3.10 and 3.11 diff --git a/ci/build/build-anyscale-docker.sh b/ci/build/build-anyscale-docker.sh index 3e4e74ef8a0b..2e6db88d15f3 100755 --- a/ci/build/build-anyscale-docker.sh +++ b/ci/build/build-anyscale-docker.sh @@ -6,24 +6,8 @@ DEST_IMAGE="$2" REQUIREMENTS="$3" ECR="$4" -DATAPLANE_S3_BUCKET="ray-release-automation-results" -DATAPLANE_FILENAME="dataplane_20250624.tar.gz" -DATAPLANE_DIGEST="3cffb55f1a56f0bc6256cbf1a38bf1e764e202a647a4272b80531760f1250059" - -# download dataplane build file -aws s3api get-object --bucket "${DATAPLANE_S3_BUCKET}" \ - --key "${DATAPLANE_FILENAME}" "${DATAPLANE_FILENAME}" - -# check dataplane build file digest -echo "${DATAPLANE_DIGEST} ${DATAPLANE_FILENAME}" | sha256sum -c - -# build anyscale image DOCKER_BUILDKIT=1 docker build \ --build-arg BASE_IMAGE="$SOURCE_IMAGE" \ - -t "$DEST_IMAGE" - < "${DATAPLANE_FILENAME}" - -DOCKER_BUILDKIT=1 docker build \ - --build-arg BASE_IMAGE="$DEST_IMAGE" \ --build-arg PIP_REQUIREMENTS="$REQUIREMENTS" \ -t "$DEST_IMAGE" \ -f release/ray_release/byod/byod.Dockerfile \ diff --git a/ci/docker/ray.cpu.base-extra.wanda.yaml b/ci/docker/ray.cpu.base-extra.wanda.yaml new file mode 100644 index 000000000000..0792fba51ec9 --- /dev/null +++ b/ci/docker/ray.cpu.base-extra.wanda.yaml @@ -0,0 +1,7 @@ +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base"] +dockerfile: docker/base-extra/Dockerfile +build_args: + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base +tags: + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra diff --git a/ci/docker/ray.cuda.base-extra.wanda.yaml b/ci/docker/ray.cuda.base-extra.wanda.yaml new file mode 100644 index 000000000000..ff1fab0a919f --- /dev/null +++ b/ci/docker/ray.cuda.base-extra.wanda.yaml @@ -0,0 +1,7 @@ +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base"] +dockerfile: docker/base-extra/Dockerfile +build_args: + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base +tags: + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra diff --git a/ci/ray_ci/anyscale_docker_container.py b/ci/ray_ci/anyscale_docker_container.py index 4025951268b7..7144d065a1e1 100644 --- a/ci/ray_ci/anyscale_docker_container.py +++ b/ci/ray_ci/anyscale_docker_container.py @@ -20,8 +20,8 @@ def run(self) -> None: cmds = [ # build docker image - f"./ci/build/build-anyscale-docker.sh " - f"{ray_image} {anyscale_image} {requirement} {aws_registry}", + "./ci/build/build-anyscale-docker.sh " + + f"{ray_image} {anyscale_image} {requirement} {aws_registry}", # gcloud login "./release/gcloud_docker_login.sh release/aws2gce_iam.json", "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 62edca1171c2..66fbe735f4ae 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -172,7 +172,7 @@ def build_anyscale( for p in platform: RayDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload=False - ).run() + ).run(use_base_extra=True) AnyscaleDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload ).run() diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 73a6f3d2879c..8a83e671e4b7 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -47,6 +47,7 @@ def __init__( architecture: str = DEFAULT_ARCHITECTURE, canonical_tag: str = None, upload: bool = False, + use_base_extra: bool = False, ) -> None: assert "RAYCI_CHECKOUT_DIR" in os.environ, "RAYCI_CHECKOUT_DIR not set" diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index 5bc41a1c5cdb..799310e009bb 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -14,16 +14,17 @@ class RayDockerContainer(DockerContainer): Container for building and publishing ray docker images """ - def run(self) -> None: + def run(self, use_base_extra: bool = False) -> None: """ Build and publish ray docker images """ assert "RAYCI_BUILD_ID" in os.environ, "RAYCI_BUILD_ID not set" rayci_build_id = os.environ["RAYCI_BUILD_ID"] + base_name = "base" if not use_base_extra else "base-extra" if self.architecture == DEFAULT_ARCHITECTURE: - suffix = "base" + suffix = base_name else: - suffix = f"base-{self.architecture}" + suffix = f"{base_name}-{self.architecture}" base_image = ( f"{_DOCKER_ECR_REPO}:{rayci_build_id}" diff --git a/docker/base-extra/Dockerfile b/docker/base-extra/Dockerfile new file mode 100644 index 000000000000..cf286db30a69 --- /dev/null +++ b/docker/base-extra/Dockerfile @@ -0,0 +1,189 @@ +# syntax=docker/dockerfile:1.3-labs + +ARG BASE_IMAGE="rayproject/ray:latest" + +FROM "$BASE_IMAGE" + +ENV TERM=xterm + +ARG SSH_PORT=5020 + +RUN </dev/stderr + exit 1 +fi + +# Create boto config; makes gsutil happy. +echo "[GoogleCompute]" > "${HOME}/.boto" +echo "service_account = default" >> "${HOME}/.boto" +chmod 600 "${HOME}/.boto" + +if [[ "$ARCH" == "x86_64" ]]; then + sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub + sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub +else + sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/arm64/7fa2af80.pub + # Nvidia does not have machine-learning repo for arm64 +fi + +echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" \ + | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list +wget -O - https://packages.cloud.google.com/apt/doc/apt-key.gpg \ + | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - + +# Add gdb since ray dashboard uses `memray attach`, which requires gdb. +sudo apt-get update -y +sudo apt-get install -y google-cloud-sdk supervisor vim zsh nfs-common zip unzip build-essential ssh curl gdb +sudo apt-get autoclean + +# Install azcopy +AZCOPY_VERSION="10.30.0" +AZCOPY_TMP="$(mktemp -d)" +( + cd "${AZCOPY_TMP}" + if [[ "$ARCH" == "x86_64" ]]; then + curl -sSfL "https://github.com/Azure/azure-storage-azcopy/releases/download/v${AZCOPY_VERSION}/azcopy_linux_amd64_${AZCOPY_VERSION}.tar.gz" \ + -o- | tar -xz "azcopy_linux_amd64_${AZCOPY_VERSION}/azcopy" + sudo mv "azcopy_linux_amd64_${AZCOPY_VERSION}/azcopy" /usr/local/bin/azcopy + else + curl -sSfL "https://github.com/Azure/azure-storage-azcopy/releases/download/v${AZCOPY_VERSION}/azcopy_linux_arm64_${AZCOPY_VERSION}.tar.gz" \ + -o- | tar -xz "azcopy_linux_arm64_${AZCOPY_VERSION}/azcopy" + sudo mv "azcopy_linux_arm64_${AZCOPY_VERSION}/azcopy" /usr/local/bin/azcopy + fi +) +rm -rf "${AZCOPY_TMP}" + +# Install dynolog, only on x86_64 machines. +if [[ "$ARCH" == "x86_64" ]]; then + DYNOLOG_TMP="$(mktemp -d)" + ( + cd "${DYNOLOG_TMP}" + curl -sSL https://github.com/facebookincubator/dynolog/releases/download/v0.3.2/dynolog_0.3.2-0-amd64.deb -o dynolog_0.3.2-0-amd64.deb + sudo dpkg -i dynolog_0.3.2-0-amd64.deb + ) + rm -rf "${DYNOLOG_TMP}" +fi + +# Python dependencies to install. To specify a version, please make the change +# in OSS ray repository, but not here. +PYTHON_REQUIREMENTS=( + azure-identity + jupyterlab + ipywidgets + grpcio + grpcio-tools + + # Pinning jupyter_server_terminals==0.4.4 , the higher version will break the + # webterminal when using an older version of terminado. + jupyter_server_terminals==0.4.4 + + # [backend] is for installing anyscale CLI for use in the anyscale cloud. + "anyscale[backend]" +) + + +PYTHON_VERSION="$(python -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')" + +uv pip install --system --no-cache-dir --index-strategy unsafe-best-match \ + -c /home/ray/requirements_compiled.txt \ + "${PYTHON_REQUIREMENTS[@]}" + +# Install awscli v2 +AWSCLI_TMP="$(mktemp -d)" +( + cd "${AWSCLI_TMP}" + curl -sfL "https://awscli.amazonaws.com/awscli-exe-linux-${ARCH}.zip" -o "awscliv2.zip" + unzip -q awscliv2.zip + sudo ./aws/install +) +rm -rf "${AWSCLI_TMP}" + +# Cleanup unused packages and caches. +$HOME/anaconda3/bin/conda clean -y -all + +# Work around for https://bugs.launchpad.net/ubuntu/+source/openssh/+bug/45234 +sudo mkdir -p /var/run/sshd +# Configure ssh port +echo Port $SSH_PORT | sudo tee -a /etc/ssh/sshd_config + +if [[ ! -d /usr/local/cuda ]]; then + EFA_VERSION="1.42.0" + GDRCOPY_VERSION="" + AWS_OFI_NCCL_VERSION="" +elif [[ -d "/usr/local/cuda-11" ]]; then + EFA_VERSION="1.28.0" + GDRCOPY_VERSION="2.4" + AWS_OFI_NCCL_VERSION="1.7.3-aws" +elif [[ -d "/usr/local/cuda-12" ]]; then + EFA_VERSION="1.42.0" + GDRCOPY_VERSION="2.5" + AWS_OFI_NCCL_VERSION="1.15.0" +else + echo "Unsupported CUDA major version" + exit 1 +fi + +# Install EFA +wget -q "https://efa-installer.amazonaws.com/aws-efa-installer-${EFA_VERSION}.tar.gz" -O "/tmp/aws-efa-installer-${EFA_VERSION}.tar.gz" +wget -q "https://efa-installer.amazonaws.com/aws-efa-installer.key" -O /tmp/aws-efa-installer.key && gpg --import /tmp/aws-efa-installer.key +gpg --fingerprint Date: Wed, 13 Aug 2025 17:06:31 -0700 Subject: [PATCH 0677/1566] [ci] raydepsets: implementing build arg sets (1/2) (#55408) - converting build arg sets into a dictionary instead of a list - updating naming convention for depsets with build_arg_sets ( suffix: _${BUILD_ARG_SET} for depset name in the config) - adding unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/tests/test_cli.py | 80 ++++++++++++++----- .../tests/test_data/test.depsets.yaml | 26 +++--- ci/raydepsets/tests/test_workspace.py | 18 +---- ci/raydepsets/workspace.py | 48 +++++------ 4 files changed, 95 insertions(+), 77 deletions(-) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index b623a7db3cfa..0fea81effa7e 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -189,15 +189,15 @@ def test_subset(self): constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt", "requirements_test_subset.txt"], append_flags=["--no-annotate", "--no-header"], - name="general_depset", + name="general_depset__py311_cpu", output="requirements_compiled_general.txt", ) # Subset general_depset with requirements_test.txt (should lock emoji & pyperclip) manager.subset( - source_depset="general_depset", + source_depset="general_depset__py311_cpu", requirements=["requirements_test.txt"], append_flags=["--no-annotate", "--no-header"], - name="subset_general_depset", + name="subset_general_depset__py311_cpu", output="requirements_compiled_subset_general.txt", ) output_file = Path(tmpdir) / "requirements_compiled_subset_general.txt" @@ -220,16 +220,16 @@ def test_subset_does_not_exist(self): constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt", "requirements_test_subset.txt"], append_flags=["--no-annotate", "--no-header"], - name="general_depset", + name="general_depset__py311_cpu", output="requirements_compiled_general.txt", ) with self.assertRaises(RuntimeError): manager.subset( - source_depset="general_depset", + source_depset="general_depset__py311_cpu", requirements=["requirements_compiled_test.txt"], append_flags=["--no-annotate", "--no-header"], - name="subset_general_depset", + name="subset_general_depset__py311_cpu", output="requirements_compiled_subset_general.txt", ) @@ -238,7 +238,7 @@ def test_check_if_subset_exists(self): copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) source_depset = Depset( - name="general_depset", + name="general_depset__py311_cpu", operation="compile", requirements=["requirements_1.txt", "requirements_2.txt"], constraints=["requirement_constraints_1.txt"], @@ -334,20 +334,48 @@ def test_build_graph(self): assert len(manager.build_graph.nodes()) == 6 assert len(manager.build_graph.edges()) == 3 # assert that the compile depsets are first - assert manager.build_graph.nodes["general_depset"]["operation"] == "compile" + assert ( + manager.build_graph.nodes["general_depset__py311_cpu"]["operation"] + == "compile" + ) assert ( manager.build_graph.nodes["subset_general_depset"]["operation"] == "subset" ) assert ( - manager.build_graph.nodes["expand_general_depset"]["operation"] + manager.build_graph.nodes["expand_general_depset__py311_cpu"][ + "operation" + ] == "expand" ) sorted_nodes = list(topological_sort(manager.build_graph)) # assert that the root nodes are the compile depsets assert "ray_base_test_depset" in sorted_nodes[:3] - assert "general_depset" in sorted_nodes[:3] - assert "build_args_test_depset_py311" in sorted_nodes[:3] + assert "general_depset__py311_cpu" in sorted_nodes[:3] + assert "build_args_test_depset__py311_cpu" in sorted_nodes[:3] + + def test_build_graph_predecessors(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + assert manager.build_graph is not None + assert ( + manager.build_graph.nodes["general_depset__py311_cpu"]["operation"] + == "compile" + ) + assert ( + manager.build_graph.nodes["expanded_depset__py311_cpu"]["operation"] + == "compile" + ) + assert ( + manager.build_graph.nodes["expand_general_depset__py311_cpu"][ + "operation" + ] + == "expand" + ) + assert set( + manager.build_graph.predecessors("expand_general_depset__py311_cpu") + ) == {"general_depset__py311_cpu", "expanded_depset__py311_cpu"} def test_build_graph_bad_operation(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -390,22 +418,22 @@ def test_expand(self): constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], append_flags=["--no-annotate", "--no-header"], - name="general_depset", + name="general_depset__py311_cpu", output="requirements_compiled_general.txt", ) manager.compile( constraints=[], requirements=["requirements_expanded.txt"], append_flags=["--no-annotate", "--no-header"], - name="expanded_depset", + name="expanded_depset__py311_cpu", output="requirements_compiled_expanded.txt", ) manager.expand( - depsets=["general_depset", "expanded_depset"], + depsets=["general_depset__py311_cpu", "expanded_depset__py311_cpu"], constraints=["requirement_constraints_expand.txt"], append_flags=["--no-annotate", "--no-header"], requirements=[], - name="expand_general_depset", + name="expand_general_depset__py311_cpu", output="requirements_compiled_expand_general.txt", ) output_file = Path(tmpdir) / "requirements_compiled_expand_general.txt" @@ -434,15 +462,15 @@ def test_expand_with_requirements(self): constraints=["requirement_constraints_test.txt"], requirements=["requirements_test.txt"], append_flags=["--no-annotate", "--no-header"], - name="general_depset", + name="general_depset__py311_cpu", output="requirements_compiled_general.txt", ) manager.expand( - depsets=["general_depset"], + depsets=["general_depset__py311_cpu"], requirements=["requirements_expanded.txt"], constraints=["requirement_constraints_expand.txt"], append_flags=["--no-annotate", "--no-header"], - name="expand_general_depset", + name="expand_general_depset__py311_cpu", output="requirements_compiled_expand_general.txt", ) output_file = Path(tmpdir) / "requirements_compiled_expand_general.txt" @@ -458,9 +486,8 @@ def test_get_depset_with_build_arg_set(self): config_path="test.depsets.yaml", workspace_dir=tmpdir, ) - depset = manager.get_depset("build_args_test_depset_py311") - assert depset.name == "build_args_test_depset_py311" - assert depset.build_arg_set_name == "py311_cpu" + depset = manager.get_depset("build_args_test_depset__py311_cpu") + assert depset.name == "build_args_test_depset__py311_cpu" def test_get_depset_without_build_arg_set(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -471,7 +498,16 @@ def test_get_depset_without_build_arg_set(self): ) depset = manager.get_depset("ray_base_test_depset") assert depset.name == "ray_base_test_depset" - assert depset.build_arg_set_name is None + + def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = DependencySetManager( + config_path="test.depsets.yaml", + workspace_dir=tmpdir, + ) + with self.assertRaises(KeyError): + manager.get_depset("build_args_test_depset_py311") if __name__ == "__main__": diff --git a/ci/raydepsets/tests/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml index c5385b541887..2508025e2524 100644 --- a/ci/raydepsets/tests/test_data/test.depsets.yaml +++ b/ci/raydepsets/tests/test_data/test.depsets.yaml @@ -1,10 +1,8 @@ build_arg_sets: - - name: py311_cpu - build_args: + py311_cpu: CUDA_VERSION: cpu PYTHON_VERSION: py311 - - name: py311_cuda128 - build_args: + py311_cuda128: CUDA_VERSION: 128 PYTHON_VERSION: py311 @@ -16,12 +14,14 @@ depsets: constraints: - requirement_constraints_test.txt output: requirements_compiled.txt - - name: general_depset + - name: general_depset__${PYTHON_VERSION}_${CUDA_VERSION} operation: compile requirements: - requirements_test.txt output: requirements_compiled_general.txt - - name: build_args_test_depset_${PYTHON_VERSION} + build_arg_sets: + - py311_cpu + - name: build_args_test_depset__${PYTHON_VERSION}_${CUDA_VERSION} operation: compile requirements: - requirements_test.txt @@ -30,20 +30,24 @@ depsets: - py311_cpu - name: subset_general_depset operation: subset - source_depset: general_depset + source_depset: general_depset__py311_cpu requirements: - requirement_constraints_subset.txt output: requirements_compiled_subset_general.txt - - name: expanded_depset + - name: expanded_depset__${PYTHON_VERSION}_${CUDA_VERSION} operation: compile requirements: - requirements_expanded.txt output: requirements_compiled_expanded.txt - - name: expand_general_depset + build_arg_sets: + - py311_cpu + - name: expand_general_depset__${PYTHON_VERSION}_${CUDA_VERSION} operation: expand depsets: - - general_depset - - expanded_depset + - general_depset__${PYTHON_VERSION}_${CUDA_VERSION} + - expanded_depset__${PYTHON_VERSION}_${CUDA_VERSION} constraints: - requirement_constraints_expand.txt output: requirements_compiled_expand_general.txt + build_arg_sets: + - py311_cpu diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index 2f2429e44a64..430ab1247b90 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -5,7 +5,7 @@ import pytest from ci.raydepsets.tests.utils import copy_data_to_tmpdir -from ci.raydepsets.workspace import BuildArgSet, Workspace, _substitute_build_args +from ci.raydepsets.workspace import Workspace, _substitute_build_args, BuildArgSet def test_workspace_init(): @@ -19,30 +19,18 @@ def test_parse_build_arg_sets(): copy_data_to_tmpdir(tmpdir) workspace = Workspace(dir=tmpdir) config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") - assert config.build_arg_sets[0].name == "py311_cpu" - assert config.build_arg_sets[0].build_args == { + assert config.build_arg_sets["py311_cpu"].build_args == { "CUDA_VERSION": "cpu", "PYTHON_VERSION": "py311", } - assert config.build_arg_sets[1].name == "py311_cuda128" - assert config.build_arg_sets[1].build_args == { + assert config.build_arg_sets["py311_cuda128"].build_args == { "CUDA_VERSION": 128, "PYTHON_VERSION": "py311", } -def test_from_dict_build_arg_set_matrix(): - with tempfile.TemporaryDirectory() as tmpdir: - copy_data_to_tmpdir(tmpdir) - workspace = Workspace(dir=tmpdir) - config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") - config.build_arg_sets[0].build_args["PYTHON_VERSION"] = "py312" - config.build_arg_sets[0].build_args["CUDA_VERSION"] = "cu128" - - def test_substitute_build_args(): build_arg_set = BuildArgSet( - name="py311_cpu", build_args={ "PYTHON_VERSION": "py311", "CUDA_VERSION": "cu128", diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index afc5fc3618b0..68d0f9f9bcf6 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -8,7 +8,6 @@ @dataclass class BuildArgSet: - name: str build_args: Dict[str, str] @@ -23,7 +22,6 @@ class Depset: append_flags: List[str] source_depset: Optional[str] = None depsets: Optional[List[str]] = None - build_arg_set_name: Optional[str] = None def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): @@ -40,7 +38,7 @@ def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): return obj -def _dict_to_depset(depset: dict, build_arg_set_name: Optional[str] = None) -> Depset: +def _dict_to_depset(depset: dict) -> Depset: return Depset( name=depset.get("name"), requirements=depset.get("requirements", []), @@ -49,7 +47,6 @@ def _dict_to_depset(depset: dict, build_arg_set_name: Optional[str] = None) -> D output=depset.get("output"), source_depset=depset.get("source_depset"), depsets=depset.get("depsets", []), - build_arg_set_name=build_arg_set_name, override_flags=depset.get("override_flags", []), append_flags=depset.get("append_flags", []), ) @@ -58,42 +55,35 @@ def _dict_to_depset(depset: dict, build_arg_set_name: Optional[str] = None) -> D @dataclass class Config: depsets: List[Depset] = field(default_factory=list) - build_arg_sets: List[BuildArgSet] = field(default_factory=list) + build_arg_sets: Dict[str, BuildArgSet] = field(default_factory=dict) - @staticmethod - def from_dict(data: dict) -> "Config": - build_arg_sets = Config.parse_build_arg_sets(data.get("build_arg_sets", [])) + @classmethod + def from_dict(cls, data: dict) -> "Config": + build_arg_sets = cls.parse_build_arg_sets(data.get("build_arg_sets", {})) raw_depsets = data.get("depsets", []) depsets = [] for depset in raw_depsets: - build_arg_set_matrix = depset.get("build_arg_sets", []) - if build_arg_set_matrix: - for build_arg_set_name in build_arg_set_matrix: - build_arg_set = next( - ( - build_arg_set - for build_arg_set in build_arg_sets - if build_arg_set.name == build_arg_set_name - ), - None, - ) + build_arg_set_keys = depset.get("build_arg_sets", []) + if build_arg_set_keys: + # Expand the depset for each build arg set + for build_arg_set_key in build_arg_set_keys: + build_arg_set = build_arg_sets[build_arg_set_key] if build_arg_set is None: - raise KeyError(f"Build arg set {build_arg_set_name} not found") + raise KeyError(f"Build arg set {build_arg_set_key} not found") depset_yaml = _substitute_build_args(depset, build_arg_set) - depsets.append(_dict_to_depset(depset_yaml, build_arg_set_name)) + depsets.append(_dict_to_depset(depset_yaml)) else: - depsets.append(_dict_to_depset(depset=depset)) + depsets.append(_dict_to_depset(depset)) return Config(depsets=depsets, build_arg_sets=build_arg_sets) @staticmethod - def parse_build_arg_sets(build_arg_sets: List[dict]) -> List[BuildArgSet]: - return [ - BuildArgSet( - name=build_arg_set.get("name", None), - build_args=build_arg_set.get("build_args", []), + def parse_build_arg_sets(build_arg_sets: Dict[str, dict]) -> Dict[str, BuildArgSet]: + return { + key: BuildArgSet( + build_args=build_arg_set, ) - for build_arg_set in build_arg_sets - ] + for key, build_arg_set in build_arg_sets.items() + } class Workspace: From bcf168f8ae6451205e07ea5df3382e2ff46a7451 Mon Sep 17 00:00:00 2001 From: yi wang <48236141+my-vegetable-has-exploded@users.noreply.github.com> Date: Thu, 14 Aug 2025 08:32:54 +0800 Subject: [PATCH 0678/1566] [DOC][Tune] fix: remove extra space in tune documentation (#55125) Signed-off-by: my-vegetable-has-exploded Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- doc/source/tune/key-concepts.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/key-concepts.rst b/doc/source/tune/key-concepts.rst index 18d02aba6318..1bd43ae963cb 100644 --- a/doc/source/tune/key-concepts.rst +++ b/doc/source/tune/key-concepts.rst @@ -33,7 +33,7 @@ and the :ref:`Class API `. Both are valid ways of defining a `trainable`, but the Function API is generally recommended and is used throughout the rest of this guide. -Consider an example of optimizing a simple objective function like ``a * (x ** 2) + b `` in which ``a`` and ``b`` are the +Consider an example of optimizing a simple objective function like ``a * (x ** 2) + b`` in which ``a`` and ``b`` are the hyperparameters we want to tune to `minimize` the objective. Since the objective also has a variable ``x``, we need to test for different values of ``x``. Given concrete choices for ``a``, ``b`` and ``x`` we can evaluate the objective function and get a `score` to minimize. From 0802f81058e71e5fbbb748c124013f189f2ba34c Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 13 Aug 2025 17:40:01 -0700 Subject: [PATCH 0679/1566] [train] Change DEFAULT variables from strings to bools (#55581) All of these constants are used as the default value of [`env_bool`](https://github.com/ray-project/ray/blob/master/python/ray/_private/ray_constants.py#L41), which returns a bool. Technically this is a no-op since "1" evaluates to True anyway, but this is misleading because "0" actually also evaluates to True. Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- python/ray/train/v2/_internal/constants.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index 2eedeeff3593..65a5eef0b2fc 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -46,7 +46,7 @@ # Environment variable to enable the print function patching. ENABLE_PRINT_PATCH_ENV_VAR = "RAY_TRAIN_ENABLE_PRINT_PATCH" -DEFAULT_ENABLE_PRINT_PATCH = "1" +DEFAULT_ENABLE_PRINT_PATCH = True # V2 feature flag. V2_ENABLED_ENV_VAR = "RAY_TRAIN_V2_ENABLED" @@ -56,8 +56,8 @@ "RAY_TRAIN_ENABLE_CONTROLLER_STRUCTURED_LOGGING" ) ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR = "RAY_TRAIN_ENABLE_WORKER_STRUCTURED_LOGGING" -DEFAULT_ENABLE_CONTROLLER_LOGGING = "1" -DEFAULT_ENABLE_WORKER_LOGGING = "1" +DEFAULT_ENABLE_CONTROLLER_LOGGING = True +DEFAULT_ENABLE_WORKER_LOGGING = True # Environment variables to configure reconciliation interval for Train state actor. # This determines how many seconds the state actor will wait between @@ -65,7 +65,7 @@ ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR = ( "RAY_TRAIN_ENABLE_STATE_ACTOR_RECONCILIATION" ) -DEFAULT_ENABLE_STATE_ACTOR_RECONCILIATION = "1" +DEFAULT_ENABLE_STATE_ACTOR_RECONCILIATION = True STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR = ( "RAY_TRAIN_STATE_ACTOR_RECONCILIATION_INTERVAL_S" ) @@ -105,7 +105,7 @@ # Whether or not to run the controller as an actor. RUN_CONTROLLER_AS_ACTOR_ENV_VAR = "RAY_TRAIN_RUN_CONTROLLER_AS_ACTOR" -DEFAULT_RUN_CONTROLLER_AS_ACTOR = "1" +DEFAULT_RUN_CONTROLLER_AS_ACTOR = True def is_v2_enabled() -> bool: From 290b40d1619f422c62b132242f2de3532b795806 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Wed, 13 Aug 2025 18:22:54 -0700 Subject: [PATCH 0680/1566] [Serve.llm] Use DEFAULT_MAX_ONGOING_REQUESTS for DPServer (#55583) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../llm/_internal/serve/deployments/data_parallel/dp_server.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index 0c3cce80e090..200a54c2dfad 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -2,6 +2,7 @@ from typing import Optional from ray import serve +from ray.llm._internal.serve.configs.constants import DEFAULT_MAX_ONGOING_REQUESTS from ray.llm._internal.serve.configs.server_models import LLMConfig from ray.llm._internal.serve.deployments.data_parallel.dp_rank_assigner import ( DPRankAssigner, @@ -76,6 +77,7 @@ def build_dp_deployment( deployment_options = { "name": name, "num_replicas": dp_size, + "max_ongoing_requests": DEFAULT_MAX_ONGOING_REQUESTS, } return DPServer.as_deployment(deployment_options).bind( llm_config=llm_config, dp_rank_assigner=dp_rank_assigner From 99a74a230263422c56111a8627ab398f326fa5a4 Mon Sep 17 00:00:00 2001 From: Neil Girdhar Date: Wed, 13 Aug 2025 21:33:45 -0400 Subject: [PATCH 0681/1566] Suppress type error (#50994) Signed-off-by: Neil Girdhar Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- python/ray/train/constants.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/train/constants.py b/python/ray/train/constants.py index d76965a10338..459c33a7a8f4 100644 --- a/python/ray/train/constants.py +++ b/python/ray/train/constants.py @@ -1,4 +1,5 @@ from pathlib import Path +from typing import Any import ray from ray._private.ray_constants import env_bool @@ -43,7 +44,9 @@ def _get_ray_train_session_dir() -> str: TUNE_CHECKPOINT_ID = "_current_checkpoint_id" # Deprecated configs can use this value to detect if the user has set it. -_DEPRECATED_VALUE = "DEPRECATED" +# This has type Any to allow it to be assigned to any annotated parameter +# without causing type errors. +_DEPRECATED_VALUE: Any = "DEPRECATED" # ================================================== From cdc137469a9c2c34afa0d269ec16bea75773d26f Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 13 Aug 2025 19:42:02 -0700 Subject: [PATCH 0682/1566] [core] Improve gcs publish perf + clean up publisher in general (#55560) This PR is focused on two things removing a lot of unnecessary copies when publishing from the GCS + when subscribing to the GCS from + cleaning up publisher related code, e.g. publish functions took callbacks that were always nullptr, always returned Status::OK, etc. There's no actual functional changes in this PR. Copy killing that matters: https://github.com/ray-project/ray/blob/4e5f03e7a1d06b9da8f3a9329400d426055f8ea4/src/ray/gcs/gcs_server/pubsub_handler.cc#L49-L59 Every GCS publish will result in an extra copy here because the `pubsub_reply` we create is heap allocated while the actual reply is arena allocated, so the swap will result in a copy of everything every time we publish to every subscriber. Also, there were multiple extra copies of messages inside gcs_pub_sub.cc when the PythonGcsPublisher publishes and when the PythonGcsSubscriber gets messages. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 19 +- python/ray/includes/common.pxd | 2 +- python/ray/includes/gcs_client.pxi | 5 +- src/mock/ray/gcs/gcs_client/accessor.h | 6 +- src/ray/core_worker/core_worker.cc | 6 +- .../core_worker/test/reference_count_test.cc | 8 +- src/ray/gcs/callback.h | 1 + src/ray/gcs/gcs_client/accessor.cc | 14 +- src/ray/gcs/gcs_client/accessor.h | 6 +- .../gcs/gcs_client/test/gcs_client_test.cc | 14 - src/ray/gcs/gcs_server/gcs_actor_manager.cc | 43 +-- .../gcs_autoscaler_state_manager.cc | 5 +- src/ray/gcs/gcs_server/gcs_job_manager.cc | 23 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 66 ++--- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_server.cc | 6 +- src/ray/gcs/gcs_server/gcs_worker_manager.cc | 29 +- src/ray/gcs/gcs_server/pubsub_handler.cc | 23 +- src/ray/gcs/gcs_server/pubsub_handler.h | 1 - src/ray/gcs/pb_util.h | 9 +- src/ray/gcs/pb_utils.cc | 23 +- src/ray/gcs/pubsub/gcs_pub_sub.cc | 99 +++---- src/ray/gcs/pubsub/gcs_pub_sub.h | 59 ++--- src/ray/pubsub/README.md | 2 +- src/ray/pubsub/publisher.cc | 85 +++--- src/ray/pubsub/publisher.h | 86 +++--- src/ray/pubsub/test/integration_test.cc | 3 +- src/ray/pubsub/test/publisher_test.cc | 247 ++++++++++++------ src/ray/raylet/node_manager.cc | 12 +- src/ray/raylet/worker_pool.cc | 4 +- 30 files changed, 440 insertions(+), 468 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index db0abd516ed7..d375820f7449 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2911,22 +2911,25 @@ cdef class GcsLogSubscriber(_GcsSubscriber): with nogil: check_status(self.inner.get().PollLogs(&key_id, timeout_ms, &log_batch)) - c_log_lines = PythonGetLogBatchLines(log_batch) - - log_lines = [] - for c_log_line in c_log_lines: - log_lines.append(c_log_line.decode()) - - return { + result = { "ip": log_batch.ip().decode(), "pid": log_batch.pid().decode(), "job": log_batch.job_id().decode(), "is_err": log_batch.is_error(), - "lines": log_lines, "actor_name": log_batch.actor_name().decode(), "task_name": log_batch.task_name().decode(), } + with nogil: + c_log_lines = PythonGetLogBatchLines(move(log_batch)) + + log_lines = [] + for c_log_line in c_log_lines: + log_lines.append(c_log_line.decode()) + + result["lines"] = log_lines + return result + # This class should only be used for tests cdef class _TestOnly_GcsActorSubscriber(_GcsSubscriber): diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index f9a6314dea1d..ab24ec1622ce 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -668,7 +668,7 @@ cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" nogil: CRayStatus Close() cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" namespace "ray::gcs" nogil: - c_vector[c_string] PythonGetLogBatchLines(const CLogBatch& log_batch) + c_vector[c_string] PythonGetLogBatchLines(CLogBatch log_batch) cdef extern from "ray/gcs/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, c_string] PythonGetNodeLabels( diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 63fd99cf8c3c..177bf48fbba3 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -628,9 +628,8 @@ cdef class InnerGcsClient: error_info.set_timestamp(time.time()) with nogil: - check_status_timeout_as_rpc_error( - self.inner.get().Publisher().PublishError( - move(c_key_id), move(error_info), timeout_ms)) + self.inner.get().Publisher().PublishError( + move(c_key_id), move(error_info), timeout_ms) def publish_logs(self, log_json: dict, timeout = None): cdef: diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs/gcs_client/accessor.h index 47d920125293..344729b2065b 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs/gcs_client/accessor.h @@ -192,11 +192,7 @@ namespace gcs { class MockErrorInfoAccessor : public ErrorInfoAccessor { public: - MOCK_METHOD(void, - AsyncReportJobError, - (const std::shared_ptr &data_ptr, - const StatusCallback &callback), - (override)); + MOCK_METHOD(void, AsyncReportJobError, (rpc::ErrorTableData data), (override)); }; } // namespace gcs diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 22f3f7fd3513..f6c664909723 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -3700,8 +3700,10 @@ void CoreWorker::HandlePubsubLongPolling(rpc::PubsubLongPollingRequest request, rpc::SendReplyCallback send_reply_callback) { const auto subscriber_id = NodeID::FromBinary(request.subscriber_id()); RAY_LOG(DEBUG).WithField(subscriber_id) << "Got a long polling request from a node"; - object_info_publisher_->ConnectToSubscriber( - request, reply, std::move(send_reply_callback)); + object_info_publisher_->ConnectToSubscriber(request, + reply->mutable_publisher_id(), + reply->mutable_pub_messages(), + std::move(send_reply_callback)); } void CoreWorker::HandlePubsubCommandBatch(rpc::PubsubCommandBatchRequest request, diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/test/reference_count_test.cc index 206a86263fa1..7f5f235d3c14 100644 --- a/src/ray/core_worker/test/reference_count_test.cc +++ b/src/ray/core_worker/test/reference_count_test.cc @@ -277,9 +277,11 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { return true; } - void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) override {} + void ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) override {} pubsub::pub_internal::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; diff --git a/src/ray/gcs/callback.h b/src/ray/gcs/callback.h index e4ac07a57407..5d00d80805d4 100644 --- a/src/ray/gcs/callback.h +++ b/src/ray/gcs/callback.h @@ -17,6 +17,7 @@ #include #include +#include "absl/container/flat_hash_map.h" #include "ray/common/status.h" namespace ray { diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 72440b02d387..da8142a4d4fb 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -873,19 +873,13 @@ void TaskInfoAccessor::AsyncGetTaskEvents( ErrorInfoAccessor::ErrorInfoAccessor(GcsClient *client_impl) : client_impl_(client_impl) {} -void ErrorInfoAccessor::AsyncReportJobError( - const std::shared_ptr &data_ptr, - const StatusCallback &callback) { - auto job_id = JobID::FromBinary(data_ptr->job_id()); +void ErrorInfoAccessor::AsyncReportJobError(rpc::ErrorTableData data) { + auto job_id = JobID::FromBinary(data.job_id()); RAY_LOG(DEBUG) << "Publishing job error, job id = " << job_id; rpc::ReportJobErrorRequest request; - request.mutable_job_error()->CopyFrom(*data_ptr); + *request.mutable_job_error() = std::move(data); client_impl_->GetGcsRpcClient().ReportJobError( - request, - [job_id, callback](const Status &status, rpc::ReportJobErrorReply &&reply) { - if (callback) { - callback(status); - } + request, [job_id](const Status &status, rpc::ReportJobErrorReply &&reply) { RAY_LOG(DEBUG) << "Finished publishing job error, job id = " << job_id; }); } diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index cd229ad63ce3..0545fb2268da 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -540,10 +540,8 @@ class ErrorInfoAccessor { /// duplicate messages currently cause failures (the GCS doesn't allow it). A /// natural way to do this is to have finer-grained time stamps. /// - /// \param data_ptr The error message that will be reported to GCS. - /// \param callback Callback that will be called when report is complete. - virtual void AsyncReportJobError(const std::shared_ptr &data_ptr, - const StatusCallback &callback); + /// \param data The error message that will be reported to GCS. + virtual void AsyncReportJobError(rpc::ErrorTableData data); private: GcsClient *client_impl_; diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/test/gcs_client_test.cc index 7735f1264927..0739777b954f 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/test/gcs_client_test.cc @@ -371,13 +371,6 @@ class GcsClientTest : public ::testing::TestWithParam { return resources; } - bool ReportJobError(const std::shared_ptr &error_table_data) { - std::promise promise; - gcs_client_->Errors().AsyncReportJobError( - error_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); - return WaitReady(promise.get_future(), timeout_ms_); - } - bool SubscribeToWorkerFailures( const gcs::ItemCallback &subscribe) { std::promise promise; @@ -654,13 +647,6 @@ TEST_P(GcsClientTest, TestWorkerInfo) { WaitForExpectedCount(worker_failure_count, 2); } -TEST_P(GcsClientTest, TestErrorInfo) { - // Report a job error to GCS. - JobID job_id = JobID::FromInt(1); - auto error_table_data = Mocker::GenErrorTableData(job_id); - ASSERT_TRUE(ReportJobError(error_table_data)); -} - TEST_P(GcsClientTest, TestJobTableResubscribe) { // TODO(mwtian): Support resubscribing with GCS pubsub. GTEST_SKIP(); diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 8683fed03eb5..bc84131b6c95 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -798,12 +798,11 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ "explicitly connect to this namespace with ray.init(namespace=\"" << actor->GetRayNamespace() << "\", ...)"; - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = CreateErrorTableData( "detached_actor_anonymous_namespace", stream.str(), absl::Now(), job_id); - RAY_LOG(WARNING) << error_data_ptr->SerializeAsString(); - RAY_CHECK_OK( - gcs_publisher_->PublishError(job_id.Hex(), *error_data_ptr, nullptr)); + RAY_LOG(WARNING) << error_data.SerializeAsString(); + gcs_publisher_->PublishError(job_id.Hex(), std::move(error_data)); } actors_in_namespace.emplace(actor->GetName(), actor->GetActorID()); } else { @@ -866,8 +865,8 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ return; } - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor->GetActorID(), actor->GetActorTableData(), nullptr)); + gcs_publisher_->PublishActor(actor->GetActorID(), + actor->GetActorTableData()); // Invoke all callbacks for all registration requests of this actor // (duplicated requests are included) and remove all of them from // actor_to_register_callbacks_. @@ -948,7 +947,7 @@ Status GcsActorManager::CreateActor(const ray::rpc::CreateActorRequest &request, current_sys_time_ms()); // Pub this state for dashboard showing. - RAY_CHECK_OK(gcs_publisher_->PublishActor(actor_id, actor_table_data, nullptr)); + gcs_publisher_->PublishActor(actor_id, actor_table_data); actor->WriteActorExportEvent(); RemoveUnresolvedActor(actor); @@ -1168,8 +1167,8 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, if (done_callback) { done_callback(); } - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor_id, GenActorDataOnlyWithStates(*actor_table_data), nullptr)); + gcs_publisher_->PublishActor(actor_id, + GenActorDataOnlyWithStates(*actor_table_data)); if (!is_restartable) { RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Delete( actor_id, {[](auto) {}, io_context_})); @@ -1404,8 +1403,8 @@ void GcsActorManager::SetPreemptedAndPublish(const NodeID &node_id) { actor_id, actor_table_data, {[this, actor_id, actor_table_data](Status status) { - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor_id, GenActorDataOnlyWithStates(actor_table_data), nullptr)); + gcs_publisher_->PublishActor(actor_id, + GenActorDataOnlyWithStates(actor_table_data)); }, io_context_})); } @@ -1483,8 +1482,8 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, if (done_callback) { done_callback(); } - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data), nullptr)); + gcs_publisher_->PublishActor( + actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); actor->WriteActorExportEvent(); }, io_context_})); @@ -1512,8 +1511,8 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, if (done_callback) { done_callback(); } - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data), nullptr)); + gcs_publisher_->PublishActor( + actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Delete( actor_id, {[](auto) {}, io_context_})); actor->WriteActorExportEvent(); @@ -1618,14 +1617,18 @@ void GcsActorManager::OnActorCreationSuccess(const std::shared_ptr &ac RAY_CHECK(!node_id.IsNil()); RAY_CHECK(created_actors_[node_id].emplace(worker_id, actor_id).second); - auto actor_table_data = *mutable_actor_table_data; + auto actor_data_only_with_states = + GenActorDataOnlyWithStates(*mutable_actor_table_data); // The backend storage is reliable in the future, so the status must be ok. RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( actor_id, - actor_table_data, - {[this, actor_id, actor_table_data, actor, reply](Status status) { - RAY_CHECK_OK(gcs_publisher_->PublishActor( - actor_id, GenActorDataOnlyWithStates(actor_table_data), nullptr)); + *mutable_actor_table_data, + {[this, + actor_id, + actor_data_only_with_states = std::move(actor_data_only_with_states), + actor, + reply](Status status) mutable { + gcs_publisher_->PublishActor(actor_id, std::move(actor_data_only_with_states)); actor->WriteActorExportEvent(); // Invoke all callbacks for all registration requests of this actor (duplicated // requests are included) and remove all of them from diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index e3873fe82ff9..2c234c92d6ac 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -93,10 +93,9 @@ void GcsAutoscalerStateManager::HandleReportAutoscalingState( if (gcs_publisher_ != nullptr) { std::string error_type = "infeasible_resource_requests"; - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = CreateErrorTableData( error_type, error_message, absl::FromUnixMillis(current_time_ms())); - RAY_CHECK_OK( - gcs_publisher_->PublishError(session_name_, *error_data_ptr, nullptr)); + gcs_publisher_->PublishError(session_name_, std::move(error_data)); } } }; diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 8211d1c77ba2..3b42b2119db2 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -21,6 +21,7 @@ #include #include +#include "absl/strings/match.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric.h" @@ -47,7 +48,7 @@ void GcsJobManager::WriteDriverJobExportEvent(rpc::JobTableData job_data) const if (!export_event_write_enabled_) { return; } - if (job_data.config().ray_namespace().find(kRayInternalNamespacePrefix) == 0) { + if (absl::StartsWith(job_data.config().ray_namespace(), kRayInternalNamespacePrefix)) { // Namespace of this job starts with _ray_internal_ so // don't write export event. return; @@ -102,15 +103,13 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, job_table_data = mutable_job_table_data, reply, send_reply_callback = - std::move(send_reply_callback)](const Status &status) { - RAY_CHECK(thread_checker_.IsOnSameThread()); - + std::move(send_reply_callback)](const Status &status) mutable { + WriteDriverJobExportEvent(job_table_data); if (!status.ok()) { RAY_LOG(ERROR).WithField(job_id).WithField("driver_pid", job_table_data.driver_pid()) << "Failed to register job."; } else { - RAY_CHECK_OK(gcs_publisher_.PublishJob(job_id, job_table_data, /*done=*/nullptr)); if (job_table_data.config().has_runtime_env_info()) { runtime_env_manager_.AddURIReference(job_id.Hex(), job_table_data.config().runtime_env_info()); @@ -123,16 +122,14 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, // Intentionally not checking return value, since the function could be invoked for // multiple times and requires idempotency (i.e. due to retry). running_job_start_times_.insert({job_id, job_table_data.start_time()}); + gcs_publisher_.PublishJob(job_id, std::move(job_table_data)); } - WriteDriverJobExportEvent(job_table_data); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; - Status status = gcs_table_storage_.JobTable().Put( - job_id, mutable_job_table_data, {on_done, io_context_}); - if (!status.ok()) { - on_done(status); - } + RAY_UNUSED(gcs_table_storage_.JobTable().Put( + job_id, mutable_job_table_data, {std::move(on_done), io_context_})); } void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, @@ -151,7 +148,7 @@ void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, if (!status.ok()) { RAY_LOG(ERROR).WithField(job_id) << "Failed to mark job as finished."; } else { - RAY_CHECK_OK(gcs_publisher_.PublishJob(job_id, job_table_data, nullptr)); + gcs_publisher_.PublishJob(job_id, job_table_data); runtime_env_manager_.RemoveURIReference(job_id.Hex()); ClearJobInfos(job_table_data); RAY_LOG(DEBUG).WithField(job_id) << "Marked job as finished."; @@ -456,7 +453,7 @@ void GcsJobManager::HandleReportJobError(rpc::ReportJobErrorRequest request, rpc::ReportJobErrorReply *reply, rpc::SendReplyCallback send_reply_callback) { auto job_id = JobID::FromBinary(request.job_error().job_id()); - RAY_CHECK_OK(gcs_publisher_.PublishError(job_id.Hex(), request.job_error(), nullptr)); + gcs_publisher_.PublishError(job_id.Hex(), std::move(*request.mutable_job_error())); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 112e45a594d4..15347e782001 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -90,15 +90,15 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, .WithField("node_address", node_info.node_manager_address()) << "Registering new node."; - auto on_done = - [this, node_id, node_info, reply, send_reply_callback](const Status &status) { - RAY_CHECK_OK(status) << "Failed to register node '" << node_id << "'."; - RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node."; - RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, node_info, nullptr)); - AddNode(std::make_shared(node_info)); - WriteNodeExportEvent(node_info); - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); - }; + auto on_done = [this, node_id, node_info_copy = node_info, reply, send_reply_callback]( + const Status &status) mutable { + RAY_CHECK_OK(status) << "Failed to register node '" << node_id << "'."; + RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node."; + AddNode(std::make_shared(node_info_copy)); + WriteNodeExportEvent(node_info_copy); + gcs_publisher_->PublishNodeInfo(node_id, std::move(node_info_copy)); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); + }; if (node_info.is_head_node()) { // mark all old head nodes as dead if exists: // 1. should never happen when HA is not used @@ -114,18 +114,17 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, RAY_CHECK_LE(head_nodes.size(), 1UL); if (head_nodes.size() == 1) { OnNodeFailure(head_nodes[0], - [this, node_id, node_info, on_done](const Status &status) { - RAY_CHECK_OK(status); + [this, node_id, node_info, on_done = std::move(on_done)]() { RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( node_id, node_info, {on_done, io_context_})); }); } else { RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, node_info, {on_done, io_context_})); + node_id, node_info, {std::move(on_done), io_context_})); } } else { - RAY_CHECK_OK( - gcs_table_storage_->NodeTable().Put(node_id, node_info, {on_done, io_context_})); + RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( + node_id, node_info, {std::move(on_done), io_context_})); } ++counts_[CountType::REGISTER_NODE_REQUEST]; } @@ -166,7 +165,7 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, node_info_delta->set_end_time_ms(node->end_time_ms()); auto on_put_done = [this, node_id, node_info_delta, node](const Status &status) { - RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta, nullptr)); + gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta); WriteNodeExportEvent(*node); }; RAY_CHECK_OK( @@ -430,9 +429,9 @@ std::shared_ptr GcsNodeManager::RemoveNode( .WithField("ip", removed_node->node_manager_address()) << error_message.str(); RAY_LOG(WARNING) << error_message.str(); - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = CreateErrorTableData( type, error_message.str(), absl::FromUnixMillis(current_time_ms())); - RAY_CHECK_OK(gcs_publisher_->PublishError(node_id.Hex(), *error_data_ptr, nullptr)); + gcs_publisher_->PublishError(node_id.Hex(), std::move(error_data)); } // Notify all listeners. @@ -443,8 +442,8 @@ std::shared_ptr GcsNodeManager::RemoveNode( return removed_node; } -void GcsNodeManager::OnNodeFailure(const NodeID &node_id, - const StatusCallback &node_table_updated_callback) { +void GcsNodeManager::OnNodeFailure( + const NodeID &node_id, const std::function &node_table_updated_callback) { auto maybe_node = GetAliveNode(node_id); if (maybe_node.has_value()) { rpc::NodeDeathInfo death_info = InferDeathInfo(node_id); @@ -453,24 +452,27 @@ void GcsNodeManager::OnNodeFailure(const NodeID &node_id, node->set_end_time_ms(current_sys_time_ms()); AddDeadNodeToCache(node); - auto node_info_delta = std::make_shared(); - node_info_delta->set_node_id(node->node_id()); - node_info_delta->set_state(node->state()); - node_info_delta->set_end_time_ms(node->end_time_ms()); - node_info_delta->mutable_death_info()->CopyFrom(node->death_info()); - - auto on_done = [this, node_id, node_table_updated_callback, node_info_delta, node]( - const Status &status) { + rpc::GcsNodeInfo node_info_delta; + node_info_delta.set_node_id(node->node_id()); + node_info_delta.set_state(node->state()); + node_info_delta.set_end_time_ms(node->end_time_ms()); + node_info_delta.mutable_death_info()->CopyFrom(node->death_info()); + + auto on_done = [this, + node_id, + node_table_updated_callback, + node_info_delta = std::move(node_info_delta), + node](const Status &status) mutable { WriteNodeExportEvent(*node); if (node_table_updated_callback != nullptr) { - node_table_updated_callback(Status::OK()); + node_table_updated_callback(); } - RAY_CHECK_OK(gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta, nullptr)); + gcs_publisher_->PublishNodeInfo(node_id, std::move(node_info_delta)); }; - RAY_CHECK_OK( - gcs_table_storage_->NodeTable().Put(node_id, *node, {on_done, io_context_})); + RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( + node_id, *node, {std::move(on_done), io_context_})); } else if (node_table_updated_callback != nullptr) { - node_table_updated_callback(Status::OK()); + node_table_updated_callback(); } } diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index eb3107fcc4ba..ff196f60b263 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -96,7 +96,7 @@ class GcsNodeManager : public rpc::NodeInfoHandler { /// \param node_table_updated_callback The status callback function after /// faled node info is updated to gcs node table. void OnNodeFailure(const NodeID &node_id, - const StatusCallback &node_table_updated_callback); + const std::function &node_table_updated_callback); /// Add an alive node. /// diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index f5fff4004c96..d8d4b502f2a7 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -137,11 +137,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, RAY_LOG(FATAL) << "Unexpected storage type: " << storage_type_; } - // Init GCS publisher instance. - std::unique_ptr inner_publisher; - // Init grpc based pubsub on GCS. - // TODO(yic): Move this into GcsPublisher. - inner_publisher = std::make_unique( + auto inner_publisher = std::make_unique( /*channels=*/ std::vector{ rpc::ChannelType::GCS_ACTOR_CHANNEL, diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.cc b/src/ray/gcs/gcs_server/gcs_worker_manager.cc index 3e6962595874..b45e47cf080c 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.cc @@ -40,7 +40,7 @@ void GcsWorkerManager::HandleReportWorkerFailure( GetWorkerInfo( worker_id, {[this, reply, send_reply_callback, worker_id, request = std::move(request)]( - const std::optional &result) { + std::optional result) { const auto &worker_address = request.worker_failure().worker_address(); const auto node_id = NodeID::FromBinary(worker_address.node_id()); std::string message = @@ -63,10 +63,10 @@ void GcsWorkerManager::HandleReportWorkerFailure( "are lots of this logs, that might indicate there are " "unexpected failures in the cluster."; } - auto worker_failure_data = std::make_shared(); - if (result) { - worker_failure_data->CopyFrom(*result); - } + auto worker_failure_data = + result.has_value() + ? std::make_shared(std::move(*result)) + : std::make_shared(); worker_failure_data->MergeFrom(request.worker_failure()); worker_failure_data->set_is_alive(false); @@ -75,15 +75,16 @@ void GcsWorkerManager::HandleReportWorkerFailure( } auto on_done = [this, - worker_address, - worker_id, node_id, + worker_id, worker_failure_data, reply, - send_reply_callback](const Status &status) { + send_reply_callback, + worker_ip_address = + worker_address.ip_address()](const Status &status) { if (!status.ok()) { RAY_LOG(ERROR).WithField(worker_id).WithField(node_id).WithField( - "worker_address", worker_address.ip_address()) + "worker_address", worker_ip_address) << "Failed to report worker failure"; } else { if (!IsIntentionalWorkerFailure(worker_failure_data->exit_type())) { @@ -95,8 +96,7 @@ void GcsWorkerManager::HandleReportWorkerFailure( worker_failure.set_worker_id( worker_failure_data->worker_address().worker_id()); worker_failure.set_node_id(worker_failure_data->worker_address().node_id()); - RAY_CHECK_OK( - gcs_publisher_.PublishWorkerFailure(worker_id, worker_failure, nullptr)); + gcs_publisher_.PublishWorkerFailure(worker_id, std::move(worker_failure)); } GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; @@ -105,11 +105,8 @@ void GcsWorkerManager::HandleReportWorkerFailure( // receives the worker registration information first and then the worker failure // message, so we delete the get operation. Related issues: // https://github.com/ray-project/ray/pull/11599 - Status status = gcs_table_storage_.WorkerTable().Put( - worker_id, *worker_failure_data, {on_done, io_context_}); - if (!status.ok()) { - on_done(status); - } + RAY_UNUSED(gcs_table_storage_.WorkerTable().Put( + worker_id, *worker_failure_data, {std::move(on_done), io_context_})); if (request.worker_failure().exit_type() == rpc::WorkerExitType::SYSTEM_ERROR || request.worker_failure().exit_type() == diff --git a/src/ray/gcs/gcs_server/pubsub_handler.cc b/src/ray/gcs/gcs_server/pubsub_handler.cc index 1bc889c912ef..865acac8f9e7 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.cc +++ b/src/ray/gcs/gcs_server/pubsub_handler.cc @@ -14,7 +14,6 @@ #include "ray/gcs/gcs_server/pubsub_handler.h" -#include #include #include @@ -43,23 +42,13 @@ void InternalPubSubHandler::HandleGcsSubscriberPoll( rpc::GcsSubscriberPollReply *reply, rpc::SendReplyCallback send_reply_callback) { rpc::PubsubLongPollingRequest pubsub_req; - pubsub_req.set_subscriber_id(request.subscriber_id()); - pubsub_req.set_publisher_id(request.publisher_id()); + pubsub_req.set_subscriber_id(std::move(*request.mutable_subscriber_id())); + pubsub_req.set_publisher_id(std::move(*request.mutable_publisher_id())); pubsub_req.set_max_processed_sequence_id(request.max_processed_sequence_id()); - auto pubsub_reply = std::make_shared(); - auto pubsub_reply_ptr = pubsub_reply.get(); - gcs_publisher_.GetPublisher().ConnectToSubscriber( - pubsub_req, - pubsub_reply_ptr, - [reply, - reply_cb = std::move(send_reply_callback), - pubsub_reply = std::move(pubsub_reply)](ray::Status status, - std::function success_cb, - std::function failure_cb) { - reply->mutable_pub_messages()->Swap(pubsub_reply->mutable_pub_messages()); - reply->set_publisher_id(std::move(*pubsub_reply->mutable_publisher_id())); - reply_cb(std::move(status), std::move(success_cb), std::move(failure_cb)); - }); + gcs_publisher_.GetPublisher().ConnectToSubscriber(pubsub_req, + reply->mutable_publisher_id(), + reply->mutable_pub_messages(), + std::move(send_reply_callback)); } // Similar for HandleGcsSubscriberPoll() above, needs to use diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/gcs_server/pubsub_handler.h index fc5d92dd9abf..34554c74bc39 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/gcs_server/pubsub_handler.h @@ -20,7 +20,6 @@ #include "absl/container/flat_hash_set.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/gcs/gcs_rpc_server.h" -#include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/pb_util.h b/src/ray/gcs/pb_util.h index 2bb0c6ace6d4..54b7315e504f 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/gcs/pb_util.h @@ -64,11 +64,10 @@ inline std::shared_ptr CreateJobTableData( } /// Helper function to produce error table data. -std::shared_ptr CreateErrorTableData( - const std::string &error_type, - const std::string &error_msg, - absl::Time timestamp, - const JobID &job_id = JobID::Nil()); +rpc::ErrorTableData CreateErrorTableData(const std::string &error_type, + const std::string &error_msg, + absl::Time timestamp, + const JobID &job_id = JobID::Nil()); /// Helper function to produce worker failure data. inline std::shared_ptr CreateWorkerFailureData( diff --git a/src/ray/gcs/pb_utils.cc b/src/ray/gcs/pb_utils.cc index 1c510b9b5902..c75e78a12167 100644 --- a/src/ray/gcs/pb_utils.cc +++ b/src/ray/gcs/pb_utils.cc @@ -23,27 +23,26 @@ namespace ray::gcs { -std::shared_ptr CreateErrorTableData( - const std::string &error_type, - const std::string &error_msg, - absl::Time timestamp, - const JobID &job_id) { +rpc::ErrorTableData CreateErrorTableData(const std::string &error_type, + const std::string &error_msg, + absl::Time timestamp, + const JobID &job_id) { uint32_t max_error_msg_size_bytes = RayConfig::instance().max_error_msg_size_bytes(); - auto error_info_ptr = std::make_shared(); - error_info_ptr->set_type(error_type); + rpc::ErrorTableData error_info; + error_info.set_type(error_type); if (error_msg.length() > max_error_msg_size_bytes) { std::string formatted_error_message = absl::StrFormat( "The message size exceeds %d bytes. Find the full log from the log files. Here " "is abstract: %s", max_error_msg_size_bytes, std::string_view{error_msg}.substr(0, max_error_msg_size_bytes)); - error_info_ptr->set_error_message(std::move(formatted_error_message)); + error_info.set_error_message(std::move(formatted_error_message)); } else { - error_info_ptr->set_error_message(error_msg); + error_info.set_error_message(error_msg); } - error_info_ptr->set_timestamp(absl::ToUnixMillis(timestamp)); - error_info_ptr->set_job_id(job_id.Binary()); - return error_info_ptr; + error_info.set_timestamp(absl::ToUnixMillis(timestamp)); + error_info.set_job_id(job_id.Binary()); + return error_info; } } // namespace ray::gcs diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index ea722b03f5e1..ea2884d29306 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -24,74 +24,45 @@ namespace ray { namespace gcs { -Status GcsPublisher::PublishActor(const ActorID &id, - rpc::ActorTableData message, - const StatusCallback &done) { +void GcsPublisher::PublishActor(const ActorID &id, rpc::ActorTableData message) { rpc::PubMessage msg; msg.set_channel_type(rpc::ChannelType::GCS_ACTOR_CHANNEL); msg.set_key_id(id.Binary()); *msg.mutable_actor_message() = std::move(message); publisher_->Publish(std::move(msg)); - if (done != nullptr) { - done(Status::OK()); - } - return Status::OK(); } -Status GcsPublisher::PublishJob(const JobID &id, - const rpc::JobTableData &message, - const StatusCallback &done) { +void GcsPublisher::PublishJob(const JobID &id, rpc::JobTableData message) { rpc::PubMessage msg; msg.set_channel_type(rpc::ChannelType::GCS_JOB_CHANNEL); msg.set_key_id(id.Binary()); - *msg.mutable_job_message() = message; + *msg.mutable_job_message() = std::move(message); publisher_->Publish(std::move(msg)); - if (done != nullptr) { - done(Status::OK()); - } - return Status::OK(); } -Status GcsPublisher::PublishNodeInfo(const NodeID &id, - const rpc::GcsNodeInfo &message, - const StatusCallback &done) { +void GcsPublisher::PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message) { rpc::PubMessage msg; msg.set_channel_type(rpc::ChannelType::GCS_NODE_INFO_CHANNEL); msg.set_key_id(id.Binary()); - *msg.mutable_node_info_message() = message; + *msg.mutable_node_info_message() = std::move(message); publisher_->Publish(std::move(msg)); - if (done != nullptr) { - done(Status::OK()); - } - return Status::OK(); } -Status GcsPublisher::PublishWorkerFailure(const WorkerID &id, - const rpc::WorkerDeltaData &message, - const StatusCallback &done) { +void GcsPublisher::PublishWorkerFailure(const WorkerID &id, + rpc::WorkerDeltaData message) { rpc::PubMessage msg; msg.set_channel_type(rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL); msg.set_key_id(id.Binary()); - *msg.mutable_worker_delta_message() = message; + *msg.mutable_worker_delta_message() = std::move(message); publisher_->Publish(std::move(msg)); - if (done != nullptr) { - done(Status::OK()); - } - return Status::OK(); } -Status GcsPublisher::PublishError(const std::string &id, - const rpc::ErrorTableData &message, - const StatusCallback &done) { +void GcsPublisher::PublishError(std::string id, rpc::ErrorTableData message) { rpc::PubMessage msg; msg.set_channel_type(rpc::ChannelType::RAY_ERROR_INFO_CHANNEL); - msg.set_key_id(id); - *msg.mutable_error_info_message() = message; + msg.set_key_id(std::move(id)); + *msg.mutable_error_info_message() = std::move(message); publisher_->Publish(std::move(msg)); - if (done != nullptr) { - done(Status::OK()); - } - return Status::OK(); } std::string GcsPublisher::DebugString() const { return publisher_->DebugString(); } @@ -113,7 +84,7 @@ Status GcsSubscriber::SubscribeAllJobs( std::make_unique(), rpc::ChannelType::GCS_JOB_CHANNEL, gcs_address_, - [done](Status status) { + [done](const Status &status) { if (done != nullptr) { done(status); } @@ -145,7 +116,7 @@ Status GcsSubscriber::SubscribeActor( rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary(), - [done](Status status) { + [done](const Status &status) { if (done != nullptr) { done(status); } @@ -181,7 +152,7 @@ void GcsSubscriber::SubscribeAllNodeInfo(const ItemCallback &s std::make_unique(), rpc::ChannelType::GCS_NODE_INFO_CHANNEL, gcs_address_, - [done](Status status) { + [done](const Status &status) { if (done != nullptr) { done(status); } @@ -206,7 +177,7 @@ Status GcsSubscriber::SubscribeAllWorkerFailures( rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL, gcs_address_, /*subscribe_done_callback=*/ - [done](Status status) { + [done](const Status &status) { if (done != nullptr) { done(status); } @@ -216,24 +187,22 @@ Status GcsSubscriber::SubscribeAllWorkerFailures( return Status::OK(); } -std::vector PythonGetLogBatchLines(const rpc::LogBatch &log_batch) { - return std::vector(log_batch.lines().begin(), log_batch.lines().end()); +std::vector PythonGetLogBatchLines(rpc::LogBatch log_batch) { + return std::vector( + std::make_move_iterator(log_batch.mutable_lines()->begin()), + std::make_move_iterator(log_batch.mutable_lines()->end())); } PythonGcsSubscriber::PythonGcsSubscriber(const std::string &gcs_address, int gcs_port, rpc::ChannelType channel_type, - const std::string &subscriber_id, - const std::string &worker_id) - : channel_type_(channel_type), - subscriber_id_(subscriber_id), - publisher_id_(""), - worker_id_(worker_id), - max_processed_sequence_id_(0), - closed_(false) { - channel_ = rpc::GcsRpcClient::CreateGcsChannel(gcs_address, gcs_port); - pubsub_stub_ = rpc::InternalPubSubGcsService::NewStub(channel_); -} + std::string subscriber_id, + std::string worker_id) + : channel_(rpc::GcsRpcClient::CreateGcsChannel(gcs_address, gcs_port)), + pubsub_stub_(rpc::InternalPubSubGcsService::NewStub(channel_)), + channel_type_(channel_type), + subscriber_id_(std::move(subscriber_id)), + worker_id_(std::move(worker_id)) {} Status PythonGcsSubscriber::Subscribe() { absl::MutexLock lock(&mu_); @@ -309,7 +278,7 @@ Status PythonGcsSubscriber::DoPoll(int64_t timeout_ms, rpc::PubMessage *message) max_processed_sequence_id_ = 0; } last_batch_size_ = reply.pub_messages().size(); - for (auto &cur_pub_msg : reply.pub_messages()) { + for (auto &cur_pub_msg : *reply.mutable_pub_messages()) { if (cur_pub_msg.sequence_id() <= max_processed_sequence_id_) { RAY_LOG(WARNING) << "Ignoring out of order message " << cur_pub_msg.sequence_id(); continue; @@ -324,7 +293,7 @@ Status PythonGcsSubscriber::DoPoll(int64_t timeout_ms, rpc::PubMessage *message) } } - *message = queue_.front(); + *message = std::move(queue_.front()); queue_.pop_front(); return Status::OK(); @@ -335,8 +304,8 @@ Status PythonGcsSubscriber::PollError(std::string *key_id, rpc::ErrorTableData *data) { rpc::PubMessage message; RAY_RETURN_NOT_OK(DoPoll(timeout_ms, &message)); - *key_id = message.key_id(); - *data = message.error_info_message(); + *key_id = std::move(*message.mutable_key_id()); + *data = std::move(*message.mutable_error_info_message()); return Status::OK(); } @@ -345,8 +314,8 @@ Status PythonGcsSubscriber::PollLogs(std::string *key_id, rpc::LogBatch *data) { rpc::PubMessage message; RAY_RETURN_NOT_OK(DoPoll(timeout_ms, &message)); - *key_id = message.key_id(); - *data = message.log_batch_message(); + *key_id = std::move(*message.mutable_key_id()); + *data = std::move(*message.mutable_log_batch_message()); return Status::OK(); } @@ -355,8 +324,8 @@ Status PythonGcsSubscriber::PollActor(std::string *key_id, rpc::ActorTableData *data) { rpc::PubMessage message; RAY_RETURN_NOT_OK(DoPoll(timeout_ms, &message)); - *key_id = message.key_id(); - *data = message.actor_message(); + *key_id = std::move(*message.mutable_key_id()); + *data = std::move(*message.mutable_actor_message()); return Status::OK(); } diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h index c9abb5112aa3..89abb70397f9 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ b/src/ray/gcs/pubsub/gcs_pub_sub.h @@ -16,21 +16,16 @@ #include #include -#include #include -#include #include #include -#include "absl/container/flat_hash_map.h" #include "absl/synchronization/mutex.h" -#include "ray/common/ray_config.h" #include "ray/gcs/callback.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" -#include "src/ray/protobuf/gcs_service.pb.h" namespace ray { namespace gcs { @@ -48,8 +43,6 @@ class GcsPublisher { RAY_CHECK(publisher_); } - virtual ~GcsPublisher() = default; - /// Returns the underlying pubsub::Publisher. Caller does not take ownership. pubsub::Publisher &GetPublisher() const { return *publisher_; } @@ -63,32 +56,16 @@ class GcsPublisher { /// TODO: Verify GCS pubsub satisfies the streaming semantics. /// TODO: Implement optimization for channels where only latest data per ID is useful. - Status PublishActor(const ActorID &id, - rpc::ActorTableData message, - const StatusCallback &done); - - // TODO(dayshah): Look at possibility of moving all of these rpc messages + void PublishActor(const ActorID &id, rpc::ActorTableData message); - Status PublishJob(const JobID &id, - const rpc::JobTableData &message, - const StatusCallback &done); + void PublishJob(const JobID &id, rpc::JobTableData message); - virtual Status PublishNodeInfo(const NodeID &id, - const rpc::GcsNodeInfo &message, - const StatusCallback &done); + void PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message); /// Actually rpc::WorkerDeltaData is not a delta message. - Status PublishWorkerFailure(const WorkerID &id, - const rpc::WorkerDeltaData &message, - const StatusCallback &done); - - virtual Status PublishError(const std::string &id, - const rpc::ErrorTableData &message, - const StatusCallback &done); + void PublishWorkerFailure(const WorkerID &id, rpc::WorkerDeltaData message); - /// TODO: remove once it is converted to GRPC-based push broadcasting. - Status PublishResourceBatch(const rpc::ResourceUsageBatchData &message, - const StatusCallback &done); + void PublishError(std::string id, rpc::ErrorTableData message); /// Prints debugging info for the publisher. std::string DebugString() const; @@ -104,9 +81,8 @@ class GcsSubscriber { public: /// Initializes GcsSubscriber with GCS based GcsSubscribers. // TODO(mwtian): Support restarted GCS publisher, at the same or a different address. - GcsSubscriber(const rpc::Address &gcs_address, - std::unique_ptr subscriber) - : gcs_address_(gcs_address), subscriber_(std::move(subscriber)) {} + GcsSubscriber(rpc::Address gcs_address, std::unique_ptr subscriber) + : gcs_address_(std::move(gcs_address)), subscriber_(std::move(subscriber)) {} /// Subscribe*() member functions below would be incrementally converted to use the GCS /// based subscriber, if available. @@ -141,11 +117,11 @@ class GcsSubscriber { // This client is only supposed to be used from Cython / Python class RAY_EXPORT PythonGcsSubscriber { public: - explicit PythonGcsSubscriber(const std::string &gcs_address, - int gcs_port, - rpc::ChannelType channel_type, - const std::string &subscriber_id, - const std::string &worker_id); + PythonGcsSubscriber(const std::string &gcs_address, + int gcs_port, + rpc::ChannelType channel_type, + std::string subscriber_id, + std::string worker_id); /// Register a subscription for the subscriber's channel type. /// @@ -173,22 +149,23 @@ class RAY_EXPORT PythonGcsSubscriber { mutable absl::Mutex mu_; - std::unique_ptr pubsub_stub_; std::shared_ptr channel_; + std::unique_ptr pubsub_stub_; + const rpc::ChannelType channel_type_; const std::string subscriber_id_; std::string publisher_id_; const std::string worker_id_; - int64_t max_processed_sequence_id_ ABSL_GUARDED_BY(mu_); - int64_t last_batch_size_ ABSL_GUARDED_BY(mu_); + int64_t max_processed_sequence_id_ ABSL_GUARDED_BY(mu_) = 0; + int64_t last_batch_size_ ABSL_GUARDED_BY(mu_) = 0; std::deque queue_ ABSL_GUARDED_BY(mu_); - bool closed_ ABSL_GUARDED_BY(mu_); + bool closed_ ABSL_GUARDED_BY(mu_) = false; std::shared_ptr current_polling_context_ ABSL_GUARDED_BY(mu_); }; /// Get the .lines() attribute of a LogBatch as a std::vector /// (this is needed so it can be wrapped in Cython) -std::vector PythonGetLogBatchLines(const rpc::LogBatch &log_batch); +std::vector PythonGetLogBatchLines(rpc::LogBatch log_batch); } // namespace gcs } // namespace ray diff --git a/src/ray/pubsub/README.md b/src/ray/pubsub/README.md index 4e8c6b477287..d57793b7e901 100644 --- a/src/ray/pubsub/README.md +++ b/src/ray/pubsub/README.md @@ -83,7 +83,7 @@ it doesn't use Ray's GCS for that. Subscriber detects the publisher failures from the long polling request. A single long polling request is initiated from the subscriber, and it sends them -again and again whenever replied as long as there are subscribing entreis. If +again and again whenever replied as long as there are subscribing entries. If the publisher fails, the long polling request is also failed, so that the subscriber can detect the failures of publishers. All metadata is cleaned up in this case. diff --git a/src/ray/pubsub/publisher.cc b/src/ray/pubsub/publisher.cc index ec9de99534a8..059466242f7e 100644 --- a/src/ray/pubsub/publisher.cc +++ b/src/ray/pubsub/publisher.cc @@ -27,7 +27,7 @@ namespace pubsub { namespace pub_internal { -bool EntityState::Publish(std::shared_ptr msg, size_t msg_size) { +bool EntityState::Publish(const std::shared_ptr &msg, size_t msg_size) { if (subscribers_.empty()) { return false; } @@ -48,7 +48,8 @@ bool EntityState::Publish(std::shared_ptr msg, size_t msg_size) // to implement inflight message tracking across subscribers with non-atomic // ref-counting or with a LRU-like data structure tracking the range of buffered // messages for each subscriber. - auto front_msg = pending_messages_.front().lock(); + auto &[front_msg_weak, front_msg_size] = pending_messages_.front(); + auto front_msg = front_msg_weak.lock(); if (front_msg == nullptr) { // The message has no other reference. // This means that it has been published to all subscribers. @@ -78,14 +79,12 @@ bool EntityState::Publish(std::shared_ptr msg, size_t msg_size) // The first message in the queue has been published to all subscribers, or // it has been dropped due to memory cap. Subtract it from memory // accounting. + total_size_ -= front_msg_size; pending_messages_.pop(); - total_size_ -= message_sizes_.front(); - message_sizes_.pop(); } - pending_messages_.push(msg); + pending_messages_.emplace(msg, msg_size); total_size_ += msg_size; - message_sizes_.push(msg_size); for (auto &[id, subscriber] : subscribers_) { subscriber->QueueMessage(msg); @@ -122,7 +121,7 @@ int64_t SubscriptionIndex::GetNumBufferedBytes() const { return num_bytes_buffered; } -bool SubscriptionIndex::Publish(std::shared_ptr pub_message, +bool SubscriptionIndex::Publish(const std::shared_ptr &pub_message, size_t msg_size) { const bool publish_to_all = subscribers_to_all_->Publish(pub_message, msg_size); bool publish_to_entity = false; @@ -257,6 +256,7 @@ std::unique_ptr SubscriptionIndex::CreateEntityState( case rpc::ChannelType::RAY_ERROR_INFO_CHANNEL: case rpc::ChannelType::RAY_LOG_CHANNEL: case rpc::ChannelType::RAY_NODE_RESOURCE_USAGE_CHANNEL: + // Not critical if some messages are dropped. return std::make_unique( RayConfig::instance().max_grpc_message_size(), RayConfig::instance().publisher_entity_buffer_max_bytes()); @@ -268,6 +268,7 @@ std::unique_ptr SubscriptionIndex::CreateEntityState( case rpc::ChannelType::GCS_JOB_CHANNEL: case rpc::ChannelType::GCS_NODE_INFO_CHANNEL: case rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL: + // Critical if messages are dropped. return std::make_unique(RayConfig::instance().max_grpc_message_size(), /*max_buffered_bytes=*/-1); @@ -277,12 +278,13 @@ std::unique_ptr SubscriptionIndex::CreateEntityState( } } -void SubscriberState::ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) { +void SubscriberState::ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) { int64_t max_processed_sequence_id = request.max_processed_sequence_id(); - if (request.publisher_id().empty() || - publisher_id_ != PublisherID::FromBinary(request.publisher_id())) { + if (request.publisher_id().empty() || publisher_id_binary_ != request.publisher_id()) { // in case the publisher_id mismatches, we should ignore the // max_processed_sequence_id. max_processed_sequence_id = 0; @@ -300,38 +302,33 @@ void SubscriberState::ConnectToSubscriber(const rpc::PubsubLongPollingRequest &r PublishIfPossible(/*force_noop=*/true); } RAY_CHECK(!long_polling_connection_); - RAY_CHECK(reply != nullptr); - RAY_CHECK(send_reply_callback != nullptr); - long_polling_connection_ = - std::make_unique(reply, std::move(send_reply_callback)); + long_polling_connection_ = std::make_unique( + publisher_id, pub_messages, std::move(send_reply_callback)); last_connection_update_time_ms_ = get_time_ms_(); - PublishIfPossible(); + PublishIfPossible(/*force_noop=*/false); } -void SubscriberState::QueueMessage(const std::shared_ptr &pub_message, - bool try_publish) { +void SubscriberState::QueueMessage(const std::shared_ptr &pub_message) { RAY_LOG(DEBUG) << "enqueue: " << pub_message->sequence_id(); mailbox_.push_back(pub_message); - if (try_publish) { - PublishIfPossible(); - } + PublishIfPossible(/*force_noop=*/false); } -bool SubscriberState::PublishIfPossible(bool force_noop) { +void SubscriberState::PublishIfPossible(bool force_noop) { if (!long_polling_connection_) { - return false; + return; } if (!force_noop && mailbox_.empty()) { - return false; + return; } // No message should have been added to the reply. - RAY_CHECK(long_polling_connection_->reply->pub_messages().empty()); - *long_polling_connection_->reply->mutable_publisher_id() = publisher_id_.Binary(); + RAY_CHECK(long_polling_connection_->pub_messages->empty()); + *long_polling_connection_->publisher_id = publisher_id_binary_; int64_t num_total_bytes = 0; if (!force_noop) { for (auto it = mailbox_.begin(); it != mailbox_.end(); it++) { - if (long_polling_connection_->reply->pub_messages().size() >= publish_batch_size_) { + if (long_polling_connection_->pub_messages->size() >= publish_batch_size_) { break; } @@ -350,20 +347,16 @@ bool SubscriberState::PublishIfPossible(bool force_noop) { // Avoid sending empty message to the subscriber. The message might have been // cleared because the subscribed entity's buffer was full. if (msg.inner_message_case() != rpc::PubMessage::INNER_MESSAGE_NOT_SET) { - *long_polling_connection_->reply->add_pub_messages() = msg; + *long_polling_connection_->pub_messages->Add() = msg; } } } - - RAY_LOG(DEBUG) << "sending reply back" - << long_polling_connection_->reply->DebugString(); long_polling_connection_->send_reply_callback(Status::OK(), nullptr, nullptr); // Clean up & update metadata. long_polling_connection_.reset(); // Clean up & update metadata. last_connection_update_time_ms_ = get_time_ms_(); - return true; } bool SubscriberState::CheckNoLeaks() const { @@ -381,10 +374,11 @@ bool SubscriberState::IsActive() const { } // namespace pub_internal -void Publisher::ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) { - RAY_CHECK(reply != nullptr); +void Publisher::ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) { RAY_CHECK(send_reply_callback != nullptr); const auto subscriber_id = SubscriberID::FromBinary(request.subscriber_id()); @@ -406,7 +400,8 @@ void Publisher::ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request auto &subscriber = it->second; // May flush the current long poll with an empty message, if a poll request exists. - subscriber->ConnectToSubscriber(request, reply, std::move(send_reply_callback)); + subscriber->ConnectToSubscriber( + request, publisher_id, pub_messages, std::move(send_reply_callback)); } bool Publisher::RegisterSubscription(const rpc::ChannelType channel_type, @@ -466,9 +461,9 @@ bool Publisher::UnregisterSubscription(const rpc::ChannelType channel_type, return subscription_index_it->second.EraseEntry(key_id.value_or(""), subscriber_id); } -bool Publisher::UnregisterSubscriber(const SubscriberID &subscriber_id) { +void Publisher::UnregisterSubscriber(const SubscriberID &subscriber_id) { absl::MutexLock lock(&mutex_); - return UnregisterSubscriberInternal(subscriber_id); + UnregisterSubscriberInternal(subscriber_id); } void Publisher::UnregisterAll() { @@ -484,24 +479,20 @@ void Publisher::UnregisterAll() { } } -int Publisher::UnregisterSubscriberInternal(const SubscriberID &subscriber_id) { +void Publisher::UnregisterSubscriberInternal(const SubscriberID &subscriber_id) { RAY_LOG(DEBUG) << "Unregistering subscriber " << subscriber_id.Hex(); - int erased = 0; for (auto &index : subscription_index_map_) { - if (index.second.EraseSubscriber(subscriber_id)) { - erased += 1; - } + index.second.EraseSubscriber(subscriber_id); } auto it = subscribers_.find(subscriber_id); if (it == subscribers_.end()) { - return erased; + return; } auto &subscriber = it->second; // Flush the long polling connection because otherwise the reply could be leaked. subscriber->PublishIfPossible(/*force_noop=*/true); subscribers_.erase(it); - return erased; } void Publisher::CheckDeadSubscribers() { diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index b61027e11928..e3a2e92e9e59 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -21,7 +21,6 @@ #include #include #include -#include #include #include @@ -31,7 +30,6 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/rpc/server_call.h" -#include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/pubsub.pb.h" namespace ray { @@ -55,7 +53,7 @@ class EntityState { /// Publishes the message to subscribers of the entity. /// Returns true if there are subscribers, returns false otherwise. - bool Publish(std::shared_ptr pub_message, size_t msg_size); + bool Publish(const std::shared_ptr &pub_message, size_t msg_size); /// Manages the set of subscribers of this entity. bool AddSubscriber(SubscriberState *subscriber); @@ -74,18 +72,20 @@ class EntityState { private: // Tracks inflight messages. The messages have shared ownership by // individual subscribers, and get deleted after no subscriber has - // the message in buffer. - std::queue> pending_messages_; - // Size of each inflight message. - std::queue message_sizes_; + // the message in buffer. Also stores the size of the message so that we can keep track + // of total_size_. + std::queue, size_t>> pending_messages_; + // Protobuf messages fail to serialize if 2GB or larger. Cap published // message batches to this size to ensure that we can publish each message // batch. Individual messages larger than this limit will also be dropped. // TODO(swang): Pubsub clients should also ensure that they don't try to // publish messages larger than this. const size_t max_message_size_bytes_; + // Set to -1 to disable buffering. const int64_t max_buffered_bytes_; + // Total size of inflight messages. size_t total_size_ = 0; }; @@ -95,15 +95,11 @@ class EntityState { class SubscriptionIndex { public: explicit SubscriptionIndex(rpc::ChannelType channel_type); - ~SubscriptionIndex() = default; - - SubscriptionIndex(SubscriptionIndex &&) noexcept = default; - SubscriptionIndex &operator=(SubscriptionIndex &&) noexcept = default; /// Publishes the message to relevant subscribers. /// Returns true if there are subscribers listening on the entity key of the message, /// returns false otherwise. - bool Publish(std::shared_ptr pub_message, size_t msg_size); + bool Publish(const std::shared_ptr &pub_message, size_t msg_size); /// Adds a new subscriber and the key it subscribes to. /// When `key_id` is empty, the subscriber subscribes to all keys. @@ -153,11 +149,15 @@ class SubscriptionIndex { }; struct LongPollConnection { - LongPollConnection(rpc::PubsubLongPollingReply *reply, + LongPollConnection(std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, rpc::SendReplyCallback send_reply_callback) - : reply(reply), send_reply_callback(send_reply_callback) {} + : publisher_id(publisher_id), + pub_messages(pub_messages), + send_reply_callback(std::move(send_reply_callback)) {} - rpc::PubsubLongPollingReply *reply; + std::string *publisher_id; + google::protobuf::RepeatedPtrField *pub_messages; rpc::SendReplyCallback send_reply_callback; }; @@ -174,38 +174,34 @@ class SubscriberState { connection_timeout_ms_(connection_timeout_ms), publish_batch_size_(publish_batch_size), last_connection_update_time_ms_(get_time_ms_()), - publisher_id_(publisher_id) {} + publisher_id_binary_(publisher_id.Binary()) {} ~SubscriberState() { // Force a push to close the long-polling. // Otherwise, there will be a connection leak. - PublishIfPossible(true); + PublishIfPossible(/*force_noop=*/true); } + SubscriberState(const SubscriberState &) = delete; + SubscriberState &operator=(const SubscriberState &) = delete; + /// Connect to the subscriber. Currently, it means we cache the long polling request to - /// memory. Once the bidirectional gRPC streaming is enabled, we should replace it. - /// - /// \param reply pubsub long polling reply. - /// \param send_reply_callback A callback to reply to the long polling subscriber. - void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback); + /// memory. + void ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback); /// Queue the pubsub message to publish to the subscriber. - /// - /// \param pub_message A message to publish. - /// \param try_publish If true, try publishing the object id if there is a connection. - /// Currently only set to false in tests. - void QueueMessage(const std::shared_ptr &pub_message, - bool try_publish = true); + void QueueMessage(const std::shared_ptr &pub_message); /// Publish all queued messages if possible. /// /// \param force_noop If true, reply to the subscriber with an empty message, regardless /// of whethere there is any queued message. This is for cases where the current poll /// might have been cancelled, or the subscriber might be dead. - /// \return True if it publishes. False otherwise. - bool PublishIfPossible(bool force_noop = false); + void PublishIfPossible(bool force_noop); /// Testing only. Return true if there's no metadata remained in the private attribute. bool CheckNoLeaks() const; @@ -235,7 +231,7 @@ class SubscriberState { const int64_t publish_batch_size_; /// The last time long polling was connected in milliseconds. double last_connection_update_time_ms_; - PublisherID publisher_id_; + std::string publisher_id_binary_; }; } // namespace pub_internal @@ -251,9 +247,11 @@ class PublisherInterface { /// TODO(sang): Currently, we need to pass the callback for connection because we are /// using long polling internally. This should be changed once the bidirectional grpc /// streaming is supported. - virtual void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; + virtual void ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) = 0; /// Register the subscription. /// @@ -339,11 +337,11 @@ class Publisher : public PublisherInterface { "Publisher.CheckDeadSubscribers"); } - ~Publisher() override = default; - - void ConnectToSubscriber(const rpc::PubsubLongPollingRequest &request, - rpc::PubsubLongPollingReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) override; bool RegisterSubscription(const rpc::ChannelType channel_type, const SubscriberID &subscriber_id, @@ -362,8 +360,7 @@ class Publisher : public PublisherInterface { /// to it anymore. /// /// \param subscriber_id The node id of the subscriber to unsubscribe. - /// \return True if erased. False otherwise. - bool UnregisterSubscriber(const SubscriberID &subscriber_id); + void UnregisterSubscriber(const SubscriberID &subscriber_id); /// Flushes all inflight pollings and unregisters all subscribers. void UnregisterAll(); @@ -418,7 +415,7 @@ class Publisher : public PublisherInterface { /// Private fields /// - int UnregisterSubscriberInternal(const SubscriberID &subscriber_id) + void UnregisterSubscriberInternal(const SubscriberID &subscriber_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); // Periodic runner to invoke CheckDeadSubscribers. @@ -467,7 +464,6 @@ class Publisher : public PublisherInterface { int64_t next_sequence_id_ ABSL_GUARDED_BY(mutex_) = 0; /// A unique identifier identifies the publisher_id. - /// TODO(scv119) add docs about the semantics. const PublisherID publisher_id_; }; diff --git a/src/ray/pubsub/test/integration_test.cc b/src/ray/pubsub/test/integration_test.cc index 6884b46b64a2..35a7f338b0b5 100644 --- a/src/ray/pubsub/test/integration_test.cc +++ b/src/ray/pubsub/test/integration_test.cc @@ -47,7 +47,8 @@ class SubscriberServiceImpl final : public rpc::SubscriberService::CallbackServi rpc::PubsubLongPollingReply *reply) override { auto *reactor = context->DefaultReactor(); publisher_->ConnectToSubscriber(*request, - reply, + reply->mutable_publisher_id(), + reply->mutable_pub_messages(), [reactor](ray::Status status, std::function success_cb, std::function failure_cb) { diff --git a/src/ray/pubsub/test/publisher_test.cc b/src/ray/pubsub/test/publisher_test.cc index 7c09e0598012..9165bd52d7fa 100644 --- a/src/ray/pubsub/test/publisher_test.cc +++ b/src/ray/pubsub/test/publisher_test.cc @@ -115,8 +115,11 @@ class PublisherTest : public ::testing::Test { rpc::SendReplyCallback callback = [pubsub_reply](Status status, std::function success, std::function failure) {}; - subscriber->ConnectToSubscriber(request, pubsub_reply.get(), callback); - subscriber->PublishIfPossible(); + subscriber->ConnectToSubscriber(request, + pubsub_reply->mutable_publisher_id(), + pubsub_reply->mutable_pub_messages(), + callback); + subscriber->PublishIfPossible(/*force_noop=*/false); return pubsub_reply; } @@ -358,79 +361,93 @@ TEST_F(PublisherTest, TestSubscriber) { 10, kDefaultPublisherId); // If there's no connection, it will return false. - ASSERT_FALSE(subscriber->PublishIfPossible()); + subscriber->PublishIfPossible(/*force_noop=*/false); // Try connecting. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); // Reconnection should still succeed. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); // No result should have been returned. ASSERT_TRUE(object_ids_published.empty()); - // Since there's no objects pending to be published, it should return false. - ASSERT_FALSE(subscriber->PublishIfPossible()); + subscriber->PublishIfPossible(/*force_noop=*/false); + ASSERT_TRUE(object_ids_published.empty()); - absl::flat_hash_set published_objects; + absl::flat_hash_set expected_published_objects; // Make sure publishing one object works as expected. auto oid = ObjectID::FromRandom(); subscriber->QueueMessage( - std::make_shared(GeneratePubMessage(oid, GetNextSequenceId())), - /*try_publish=*/false); - published_objects.emplace(oid); - ASSERT_TRUE(subscriber->PublishIfPossible()); + std::make_shared(GeneratePubMessage(oid, GetNextSequenceId()))); + expected_published_objects.emplace(oid); + subscriber->PublishIfPossible(/*force_noop=*/false); ASSERT_TRUE(object_ids_published.contains(oid)); // No object is pending to be published, and there's no connection. - ASSERT_FALSE(subscriber->PublishIfPossible()); + subscriber->PublishIfPossible(/*force_noop=*/false); // Add 3 oids and see if it works properly. for (int i = 0; i < 3; i++) { oid = ObjectID::FromRandom(); subscriber->QueueMessage( - std::make_shared(GeneratePubMessage(oid, GetNextSequenceId())), - /*try_publish=*/false); - published_objects.emplace(oid); + std::make_shared(GeneratePubMessage(oid, GetNextSequenceId()))); + expected_published_objects.emplace(oid); } // Since there's no connection, objects won't be published. - ASSERT_FALSE(subscriber->PublishIfPossible()); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - for (auto cur_oid : published_objects) { - ASSERT_TRUE(object_ids_published.contains(cur_oid)); - } + subscriber->PublishIfPossible(/*force_noop=*/false); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + ASSERT_EQ(expected_published_objects, object_ids_published); // Queue is not cleaned up if max_processed_sequence_id hasn't // been set properly. request_.set_max_processed_sequence_id(1); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_FALSE(subscriber->CheckNoLeaks()); // If we set wrong publisher_id, the queue won't be cleaned up. request_.set_publisher_id(NodeID::FromRandom().Binary()); request_.set_max_processed_sequence_id(sequence_id_); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_FALSE(subscriber->CheckNoLeaks()); // By sending back max_processed_sequence_id, the subscriber's sending queue // is cleaned up. request_.set_max_processed_sequence_id(sequence_id_); request_.set_publisher_id(kDefaultPublisherId.Binary()); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_TRUE(subscriber->CheckNoLeaks()); } TEST_F(PublisherTest, TestSubscriberBatchSize) { absl::flat_hash_set object_ids_published; - int64_t max_processed_seuquence_id = 0; - send_reply_callback = - [this, &object_ids_published, &max_processed_seuquence_id]( - Status status, std::function success, std::function failure) { - for (int i = 0; i < reply.pub_messages_size(); i++) { - const auto &msg = reply.pub_messages(i); - const auto oid = - ObjectID::FromBinary(msg.worker_object_eviction_message().object_id()); - object_ids_published.emplace(oid); - max_processed_seuquence_id = - std::max(msg.sequence_id(), max_processed_seuquence_id); - } - reply = rpc::PubsubLongPollingReply(); - }; + int64_t max_processed_sequence_id = 0; + send_reply_callback = [this, &object_ids_published, &max_processed_sequence_id]( + Status status, + std::function success, + std::function failure) { + for (int i = 0; i < reply.pub_messages_size(); i++) { + const auto &msg = reply.pub_messages(i); + const auto oid = + ObjectID::FromBinary(msg.worker_object_eviction_message().object_id()); + object_ids_published.emplace(oid); + max_processed_sequence_id = std::max(msg.sequence_id(), max_processed_sequence_id); + } + reply = rpc::PubsubLongPollingReply(); + }; auto max_publish_size = 5; auto subscriber = std::make_shared( @@ -439,21 +456,19 @@ TEST_F(PublisherTest, TestSubscriberBatchSize) { subscriber_timeout_ms_, max_publish_size, kDefaultPublisherId); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - absl::flat_hash_set published_objects; std::vector oids; for (int i = 0; i < 10; i++) { auto oid = ObjectID::FromRandom(); oids.push_back(oid); subscriber->QueueMessage( - std::make_shared(GeneratePubMessage(oid, GetNextSequenceId())), - /*try_publish=*/false); - published_objects.emplace(oid); + std::make_shared(GeneratePubMessage(oid, GetNextSequenceId()))); } - // Make sure only up to batch size is published. - ASSERT_TRUE(subscriber->PublishIfPossible()); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); for (int i = 0; i < max_publish_size; i++) { ASSERT_TRUE(object_ids_published.contains(oids[i])); @@ -463,9 +478,12 @@ TEST_F(PublisherTest, TestSubscriberBatchSize) { } // Remaining messages are published upon polling. - ASSERT_EQ(max_processed_seuquence_id, max_publish_size); - request_.set_max_processed_sequence_id(max_processed_seuquence_id); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + ASSERT_EQ(max_processed_sequence_id, max_publish_size); + request_.set_max_processed_sequence_id(max_processed_sequence_id); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); for (int i = 0; i < 10; i++) { ASSERT_TRUE(object_ids_published.contains(oids[i])); } @@ -488,7 +506,10 @@ TEST_F(PublisherTest, TestSubscriberActiveTimeout) { 10, kDefaultPublisherId); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); // Connection is not timed out yet. ASSERT_TRUE(subscriber->IsActive()); @@ -510,7 +531,10 @@ TEST_F(PublisherTest, TestSubscriberActiveTimeout) { // New connection is established. reply = rpc::PubsubLongPollingReply(); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_TRUE(subscriber->IsActive()); ASSERT_TRUE(subscriber->ConnectionExists()); @@ -539,7 +563,10 @@ TEST_F(PublisherTest, TestSubscriberActiveTimeout) { // Notify that message 1 is safe to be GCed. request_.set_max_processed_sequence_id(1); reply = rpc::PubsubLongPollingReply(); - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_TRUE(subscriber->CheckNoLeaks()); } @@ -561,8 +588,11 @@ TEST_F(PublisherTest, TestSubscriberDisconnected) { kDefaultPublisherId); // Suppose the new connection is removed. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - subscriber->PublishIfPossible(/*force*/ true); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + subscriber->PublishIfPossible(/*force_noop=*/true); ASSERT_EQ(reply_cnt, 1); ASSERT_TRUE(subscriber->IsActive()); ASSERT_FALSE(subscriber->ConnectionExists()); @@ -579,8 +609,11 @@ TEST_F(PublisherTest, TestSubscriberDisconnected) { ASSERT_FALSE(subscriber->ConnectionExists()); // New connection is coming in. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - subscriber->PublishIfPossible(/*force*/ true); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + subscriber->PublishIfPossible(/*force_noop=*/true); ASSERT_EQ(reply_cnt, 2); // Some time has passed, but it is not timed out yet. @@ -590,8 +623,11 @@ TEST_F(PublisherTest, TestSubscriberDisconnected) { // Another connection is made, so it shouldn't timeout until the next timeout is // reached. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - subscriber->PublishIfPossible(/*force*/ true); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + subscriber->PublishIfPossible(/*force_noop=*/true); ASSERT_EQ(reply_cnt, 3); current_time_ += subscriber_timeout_ms_ / 2; ASSERT_TRUE(subscriber->IsActive()); @@ -623,15 +659,21 @@ TEST_F(PublisherTest, TestSubscriberTimeoutComplicated) { kDefaultPublisherId); // Suppose the new connection is removed. - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); - subscriber->PublishIfPossible(/*force*/ true); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + subscriber->PublishIfPossible(/*force_noop=*/true); ASSERT_EQ(reply_cnt, 1); ASSERT_TRUE(subscriber->IsActive()); ASSERT_FALSE(subscriber->ConnectionExists()); // Some time has passed, and the connection is removed. current_time_ += subscriber_timeout_ms_ - 1; - subscriber->ConnectToSubscriber(request_, &reply, send_reply_callback); + subscriber->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); current_time_ += 2; // Timeout shouldn't happen because the connection has been refreshed. ASSERT_TRUE(subscriber->IsActive()); @@ -640,7 +682,7 @@ TEST_F(PublisherTest, TestSubscriberTimeoutComplicated) { // Right before the timeout, connection is removed. In this case, timeout shouldn't also // happen. current_time_ += subscriber_timeout_ms_ - 1; - subscriber->PublishIfPossible(/*force*/ true); + subscriber->PublishIfPossible(/*force_noop=*/true); current_time_ += 2; ASSERT_TRUE(subscriber->IsActive()); ASSERT_FALSE(subscriber->ConnectionExists()); @@ -670,7 +712,10 @@ TEST_F(PublisherTest, TestBasicSingleSubscriber) { const auto oid = ObjectID::FromRandom(); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); publisher_->Publish(GeneratePubMessage(oid, 0)); @@ -698,7 +743,10 @@ TEST_F(PublisherTest, TestNoConnectionWhenRegistered) { publisher_->Publish(GeneratePubMessage(oid)); // Nothing has been published because there's no connection. ASSERT_EQ(batched_ids.size(), 0); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); // When the connection is coming, it should be published. ASSERT_EQ(batched_ids[0], oid); } @@ -729,7 +777,10 @@ TEST_F(PublisherTest, TestMultiObjectsFromSingleNode) { ASSERT_EQ(batched_ids.size(), 0); // Now connection is initiated, and all oids are published. - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); for (int i = 0; i < num_oids; i++) { const auto oid_test = oids[i]; const auto published_oid = batched_ids[i]; @@ -770,7 +821,10 @@ TEST_F(PublisherTest, TestMultiObjectsFromMultiNodes) { // Check all of nodes are publishing objects properly. for (int i = 0; i < num_nodes; i++) { - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); const auto oid_test = oids[i]; const auto published_oid = batched_ids[i]; ASSERT_EQ(oid_test, published_oid); @@ -780,6 +834,7 @@ TEST_F(PublisherTest, TestMultiObjectsFromMultiNodes) { TEST_F(PublisherTest, TestMultiSubscribers) { absl::flat_hash_set batched_ids; int reply_invoked = 0; + reply = rpc::PubsubLongPollingReply(); send_reply_callback = [this, &batched_ids, &reply_invoked]( Status status, std::function success, std::function failure) { @@ -789,7 +844,7 @@ TEST_F(PublisherTest, TestMultiSubscribers) { ObjectID::FromBinary(msg.worker_object_eviction_message().object_id()); batched_ids.emplace(oid); } - reply = rpc::PubsubLongPollingReply(); + reply.Clear(); reply_invoked += 1; }; @@ -809,7 +864,10 @@ TEST_F(PublisherTest, TestMultiSubscribers) { // Check all of nodes are publishing objects properly. for (int i = 0; i < num_nodes; i++) { - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); } publisher_->Publish(GeneratePubMessage(oid)); ASSERT_EQ(batched_ids.size(), 1); @@ -847,7 +905,10 @@ TEST_F(PublisherTest, TestBatch) { // Now connection is initiated, and all oids are published. request_.set_max_processed_sequence_id(max_processed_sequence_id); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); for (int i = 0; i < num_oids; i++) { const auto oid_test = oids[i]; const auto published_oid = batched_ids[i]; @@ -865,7 +926,10 @@ TEST_F(PublisherTest, TestBatch) { publisher_->Publish(GeneratePubMessage(oid)); } request_.set_max_processed_sequence_id(max_processed_sequence_id); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_EQ(num_oids, oids.size()); ASSERT_EQ(num_oids, batched_ids.size()); for (int i = 0; i < num_oids; i++) { @@ -884,7 +948,10 @@ TEST_F(PublisherTest, TestNodeFailureWhenConnectionExisted) { }; const auto oid = ObjectID::FromRandom(); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); // This information should be cleaned up as the subscriber is dead. publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); @@ -900,8 +967,7 @@ TEST_F(PublisherTest, TestNodeFailureWhenConnectionExisted) { publisher_->CheckDeadSubscribers(); // Connection should be replied (removed) when the subscriber is unregistered. - int erased = publisher_->UnregisterSubscriber(subscriber_id_); - ASSERT_EQ(erased, 0); + publisher_->UnregisterSubscriber(subscriber_id_); ASSERT_TRUE(publisher_->CheckNoLeaks()); // New subscriber is registsered for some reason. Since there's no new long polling @@ -911,8 +977,7 @@ TEST_F(PublisherTest, TestNodeFailureWhenConnectionExisted) { rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); current_time_ += subscriber_timeout_ms_; publisher_->CheckDeadSubscribers(); - erased = publisher_->UnregisterSubscriber(subscriber_id_); - ASSERT_EQ(erased, 0); + publisher_->UnregisterSubscriber(subscriber_id_); ASSERT_TRUE(publisher_->CheckNoLeaks()); } @@ -935,7 +1000,10 @@ TEST_F(PublisherTest, TestNodeFailureWhenConnectionDoesntExist) { ASSERT_EQ(long_polling_connection_replied, false); // Connect should be removed eventually to avoid having a memory leak. - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); ASSERT_EQ(long_polling_connection_replied, true); // Nothing happens at first. publisher_->CheckDeadSubscribers(); @@ -970,7 +1038,10 @@ TEST_F(PublisherTest, TestUnregisterSubscription) { }; const auto oid = ObjectID::FromRandom(); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); ASSERT_EQ(long_polling_connection_replied, false); @@ -1011,28 +1082,31 @@ TEST_F(PublisherTest, TestUnregisterSubscriber) { // Test basic. const auto oid = ObjectID::FromRandom(); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); ASSERT_EQ(long_polling_connection_replied, false); - int erased = publisher_->UnregisterSubscriber(subscriber_id_); - ASSERT_TRUE(erased); + publisher_->UnregisterSubscriber(subscriber_id_); // Make sure the long polling request is replied to avoid memory leak. ASSERT_EQ(long_polling_connection_replied, true); // Test when registration wasn't done. long_polling_connection_replied = false; - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); - erased = publisher_->UnregisterSubscriber(subscriber_id_); - ASSERT_FALSE(erased); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + publisher_->UnregisterSubscriber(subscriber_id_); ASSERT_EQ(long_polling_connection_replied, true); // Test when connect wasn't done. long_polling_connection_replied = false; publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); - erased = publisher_->UnregisterSubscriber(subscriber_id_); - ASSERT_TRUE(erased); + publisher_->UnregisterSubscriber(subscriber_id_); ASSERT_EQ(long_polling_connection_replied, false); ASSERT_TRUE(publisher_->CheckNoLeaks()); } @@ -1082,7 +1156,10 @@ TEST_F(PublisherTest, TestPublishFailure) { const auto oid = ObjectID::FromRandom(); - publisher_->ConnectToSubscriber(request_, &reply, send_reply_callback); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); publisher_->RegisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); publisher_->PublishFailure(rpc::ChannelType::WORKER_OBJECT_EVICTION, oid.Binary()); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 7dd636db78e2..d947dd8c845c 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1397,9 +1397,9 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie .WithField("node_id", self_node_id_.Hex()) .WithField("job_id", worker->GetAssignedJobId().Hex()) << error_message_str; - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = gcs::CreateErrorTableData( type, error_message_str, absl::FromUnixMillis(current_time_ms()), job_id); - gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); + gcs_client_.Errors().AsyncReportJobError(std::move(error_data)); } } @@ -1593,9 +1593,9 @@ void NodeManager::ProcessPushErrorRequestMessage(const uint8_t *message_data) { // TODO(hjiang): Figure out what's the unit for `PushErrorRequest`. double timestamp = message->timestamp(); JobID job_id = from_flatbuf(*message->job_id()); - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = gcs::CreateErrorTableData( type, error_message, absl::FromUnixMillis(timestamp), job_id); - gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); + gcs_client_.Errors().AsyncReportJobError(std::move(error_data)); } void NodeManager::HandleGetResourceLoad(rpc::GetResourceLoadRequest request, @@ -2027,9 +2027,9 @@ void NodeManager::MarkObjectsAsFailed( << " object may hang forever."; std::string error_message = stream.str(); RAY_LOG(ERROR) << error_message; - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = gcs::CreateErrorTableData( "task", error_message, absl::FromUnixMillis(current_time_ms()), job_id); - gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); + gcs_client_.Errors().AsyncReportJobError(std::move(error_data)); } } } diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 6162847962f3..0b4f61a18576 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -1692,9 +1692,9 @@ void WorkerPool::WarnAboutSize() { std::string warning_message_str = warning_message.str(); RAY_LOG(WARNING) << warning_message_str; - auto error_data_ptr = gcs::CreateErrorTableData( + auto error_data = gcs::CreateErrorTableData( "worker_pool_large", warning_message_str, get_time_()); - gcs_client_.Errors().AsyncReportJobError(error_data_ptr, nullptr); + gcs_client_.Errors().AsyncReportJobError(std::move(error_data)); } } } From a6d019cf7f0b445ff822446712658c8f283b22d2 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 13 Aug 2025 20:36:49 -0700 Subject: [PATCH 0683/1566] [ci] raydepsets: implementing build arg sets (2/2) (#55423) 1/2 here: https://github.com/ray-project/ray/pull/55408 - implementing get depset by name and optional build arg set - adding unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 47 +++++++++++++++++++-------- ci/raydepsets/tests/test_cli.py | 17 ++++++---- ci/raydepsets/tests/test_workspace.py | 21 ++++++++++++ 3 files changed, 66 insertions(+), 19 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index a6e046c2d2a2..c127f1218ae5 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -31,23 +31,43 @@ def cli(): @cli.command() @click.argument("config_path", default="ci/raydepsets/ray.depsets.yaml") -@click.option("--workspace-dir", default=None) -@click.option("--name", default=None) -@click.option("--uv-cache-dir", default=None) +@click.option( + "--workspace-dir", + default=None, + help="The path to the workspace directory. If not specified, $BUILD_WORKSPACE_DIRECTORY will be used.", +) +@click.option( + "--name", + default=None, + help="The name of the dependency set to load. If not specified, all dependency sets will be loaded.", +) +@click.option( + "--build-arg-set", + default=None, + help="The name of the build arg set to use. If not specified, a depset matching the name with no build arg set will be loaded.", +) +@click.option( + "--uv-cache-dir", default=None, help="The directory to cache uv dependencies" +) def load( config_path: str, workspace_dir: Optional[str], name: Optional[str], + build_arg_set: Optional[str], uv_cache_dir: Optional[str], ): - """Load a dependency sets from a config file.""" + """ + Load dependency sets from a config file. + Args: + config_path: The path to the config file. If not specified, ci/raydepsets/ray.depsets.yaml will be used. + """ manager = DependencySetManager( config_path=config_path, workspace_dir=workspace_dir, uv_cache_dir=uv_cache_dir, ) if name: - manager.execute_single(manager.get_depset(name)) + manager.execute_single(_get_depset(manager.config.depsets, name)) else: manager.execute() @@ -91,12 +111,6 @@ def execute(self): depset = self.build_graph.nodes[node]["depset"] self.execute_single(depset) - def get_depset(self, name: str) -> Depset: - for depset in self.config.depsets: - if depset.name == name: - return depset - raise KeyError(f"Dependency set {name} not found") - def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: cmd = [self._uv_binary, "pip", cmd, *args] click.echo(f"Executing command: {cmd}") @@ -173,7 +187,7 @@ def subset( override_flags: Optional[List[str]] = None, ): """Subset a dependency set.""" - source_depset = self.get_depset(source_depset) + source_depset = _get_depset(self.config.depsets, source_depset) self.check_subset_exists(source_depset, requirements) self.compile( constraints=[source_depset.output], @@ -198,7 +212,7 @@ def expand( # handle both depsets and requirements depset_req_list = [] for depset_name in depsets: - depset = self.get_depset(depset_name) + depset = _get_depset(self.config.depsets, depset_name) depset_req_list.extend(depset.requirements) if requirements: depset_req_list.extend(requirements) @@ -222,6 +236,13 @@ def check_subset_exists(self, source_depset: Depset, requirements: List[str]): ) +def _get_depset(depsets: List[Depset], name: str) -> Depset: + for depset in depsets: + if depset.name == name: + return depset + raise KeyError(f"Dependency set {name} not found") + + def _flatten_flags(flags: List[str]) -> List[str]: """ Flatten a list of flags into a list of strings. diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 0fea81effa7e..37083e62f348 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -14,9 +14,9 @@ from ci.raydepsets.cli import ( DEFAULT_UV_FLAGS, DependencySetManager, - Depset, _append_uv_flags, _flatten_flags, + _get_depset, _override_uv_flags, _uv_binary, load, @@ -28,6 +28,9 @@ save_file_as, save_packages_to_file, ) +from ci.raydepsets.workspace import ( + Depset, +) _REPO_NAME = "io_ray" _runfiles = runfiles.Create() @@ -74,12 +77,12 @@ def test_dependency_set_manager_init(self): ] assert manager.config.depsets[0].output == "requirements_compiled.txt" - def test_dependency_set_manager_get_depset(self): + def test_get_depset(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) with self.assertRaises(KeyError): - manager.get_depset("fake_depset") + _get_depset(manager.config.depsets, "fake_depset") def test_uv_binary_exists(self): assert _uv_binary() is not None @@ -486,7 +489,9 @@ def test_get_depset_with_build_arg_set(self): config_path="test.depsets.yaml", workspace_dir=tmpdir, ) - depset = manager.get_depset("build_args_test_depset__py311_cpu") + depset = _get_depset( + manager.config.depsets, "build_args_test_depset__py311_cpu" + ) assert depset.name == "build_args_test_depset__py311_cpu" def test_get_depset_without_build_arg_set(self): @@ -496,7 +501,7 @@ def test_get_depset_without_build_arg_set(self): config_path="test.depsets.yaml", workspace_dir=tmpdir, ) - depset = manager.get_depset("ray_base_test_depset") + depset = _get_depset(manager.config.depsets, "ray_base_test_depset") assert depset.name == "ray_base_test_depset" def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): @@ -507,7 +512,7 @@ def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): workspace_dir=tmpdir, ) with self.assertRaises(KeyError): - manager.get_depset("build_args_test_depset_py311") + _get_depset(manager.config.depsets, "build_args_test_depset_py311") if __name__ == "__main__": diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index 430ab1247b90..318fc07c52c4 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -47,5 +47,26 @@ def test_substitute_build_args(): assert substituted_depset["name"] == "test_depset_py311_cu128" +def test_invalid_build_arg_set(): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: + f.write( + """ +depsets: + - name: invalid_build_arg_set + operation: compile + requirements: + - requirements_test.txt + output: requirements_compiled_invalid_build_arg_set.txt + build_arg_sets: + - invalid_build_arg_set + """ + ) + with pytest.raises(KeyError): + workspace = Workspace(dir=tmpdir) + workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 037e587cd94ac75957f5674370130008d0b4fcc1 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 13 Aug 2025 20:56:08 -0700 Subject: [PATCH 0684/1566] [core] Store local_raylet_rpc_client in raylet_client_pool (#55490) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_process.cc | 13 +++---- .../task_submission/normal_task_submitter.cc | 35 ++++--------------- .../task_submission/normal_task_submitter.h | 16 +++------ .../test/normal_task_submitter_test.cc | 35 +++++++++++++------ 4 files changed, 42 insertions(+), 57 deletions(-) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 6ea8b140350e..e8218c180a9e 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -495,12 +495,13 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( return address_opt; }; - auto lease_policy = RayConfig::instance().locality_aware_leasing_enabled() - ? std::unique_ptr( - std::make_unique( - *reference_counter, node_addr_factory, rpc_address)) - : std::unique_ptr( - std::make_unique(rpc_address)); + auto lease_policy = + RayConfig::instance().locality_aware_leasing_enabled() + ? std::unique_ptr( + std::make_unique( + *reference_counter, node_addr_factory, raylet_address)) + : std::unique_ptr( + std::make_unique(raylet_address)); auto normal_task_submitter = std::make_unique( rpc_address, diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 6ee82372d73c..16bb82b9e69a 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -205,7 +205,8 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul for (auto &pending_lease_request : scheduling_key_entry.pending_lease_requests) { // There is an in-flight lease request. Cancel it. - auto raylet_client = GetOrConnectRayletClient(&pending_lease_request.second); + auto raylet_client = + raylet_client_pool_->GetOrConnectByAddress(pending_lease_request.second); auto &task_id = pending_lease_request.first; RAY_LOG(DEBUG) << "Canceling lease request " << task_id; raylet_client->CancelWorkerLease( @@ -228,29 +229,6 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul } } -std::shared_ptr NormalTaskSubmitter::GetOrConnectRayletClient( - const rpc::Address *raylet_address) { - std::shared_ptr raylet_client; - RAY_CHECK(raylet_address != nullptr); - if (NodeID::FromBinary(raylet_address->node_id()) != local_node_id_) { - // A remote raylet was specified. Connect to the raylet if needed. - NodeID node_id = NodeID::FromBinary(raylet_address->node_id()); - auto it = remote_raylet_clients_.find(node_id); - if (it == remote_raylet_clients_.end()) { - RAY_LOG(INFO) << "Connecting to raylet " << node_id; - it = remote_raylet_clients_ - .emplace(node_id, - raylet_client_pool_->GetOrConnectByAddress(*raylet_address)) - .first; - } - raylet_client = it->second; - } else { - raylet_client = local_raylet_client_; - } - - return raylet_client; -} - void NormalTaskSubmitter::ReportWorkerBacklog() { absl::MutexLock lock(&mu_); ReportWorkerBacklogInternal(); @@ -279,8 +257,7 @@ void NormalTaskSubmitter::ReportWorkerBacklogInternal() { backlog_report.set_backlog_size(backlog.second.second); backlog_reports.emplace_back(backlog_report); } - local_raylet_client_->ReportWorkerBacklog( - WorkerID::FromBinary(rpc_address_.worker_id()), backlog_reports); + local_raylet_client_->ReportWorkerBacklog(worker_id_, backlog_reports); } void NormalTaskSubmitter::ReportWorkerBacklogIfNeeded( @@ -341,7 +318,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli raylet_address = &best_node_address; } - auto raylet_client = GetOrConnectRayletClient(raylet_address); + auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(*raylet_address); const TaskID task_id = resource_spec.TaskId(); const std::string task_name = resource_spec.GetName(); RAY_LOG(DEBUG) << "Requesting lease from raylet " @@ -366,7 +343,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli absl::MutexLock lock(&mu_); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; - auto raylet_client = GetOrConnectRayletClient(&raylet_address); + auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(raylet_address); scheduling_key_entry.pending_lease_requests.erase(task_id); if (status.ok()) { @@ -457,7 +434,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli RequestNewWorkerIfNeeded(scheduling_key, &reply.retry_at_raylet_address()); } - } else if (raylet_client != local_raylet_client_) { + } else if (NodeID::FromBinary(raylet_address.node_id()) != local_node_id_) { // A lease request to a remote raylet failed. Retry locally if the lease is // still needed. // TODO(swang): Fail after some number of retries? diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index f72628319465..1ff97333e5d7 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -107,6 +107,7 @@ class NormalTaskSubmitter { task_manager_(task_manager), lease_timeout_ms_(lease_timeout_ms), local_node_id_(local_node_id), + worker_id_(WorkerID::FromBinary(rpc_address_.worker_id())), worker_type_(worker_type), core_worker_client_pool_(std::move(core_worker_client_pool)), job_id_(job_id), @@ -171,12 +172,6 @@ class NormalTaskSubmitter { const google::protobuf::RepeatedPtrField &assigned_resources) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); - /// Get an existing lease client or connect a new one. If a raylet_address is - /// provided, this connects to a remote raylet. Else, this connects to the - /// local raylet. - std::shared_ptr GetOrConnectRayletClient( - const rpc::Address *raylet_address) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); - /// Report worker backlog information to the local raylet void ReportWorkerBacklogInternal() ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); @@ -246,13 +241,9 @@ class NormalTaskSubmitter { /// Address of our RPC server. rpc::Address rpc_address_; - // Client that can be used to lease and return workers from the local raylet. + /// Client that can be used to lease and return workers from the local raylet. std::shared_ptr local_raylet_client_; - /// Cache of gRPC clients to remote raylets. - absl::flat_hash_map> - remote_raylet_clients_ ABSL_GUARDED_BY(mu_); - /// Raylet client pool for producing new clients to request leases from remote nodes. std::shared_ptr raylet_client_pool_; @@ -274,6 +265,9 @@ class NormalTaskSubmitter { /// if a remote raylet tells us to spill the task back to the local raylet. const NodeID local_node_id_; + /// The local worker ID. + const WorkerID worker_id_; + /// The type of this core worker process. const WorkerType worker_type_; diff --git a/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc index 43821ecd5f94..fc58a3bdfb4e 100644 --- a/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc @@ -476,7 +476,8 @@ TaskSpecification WithRandomTaskId(const TaskSpecification &task_spec) { class NormalTaskSubmitterTest : public testing::Test { public: NormalTaskSubmitterTest() - : raylet_client_pool(std::make_shared( + : local_node_id(NodeID::FromRandom()), + raylet_client_pool(std::make_shared( [](const rpc::Address &) { return std::make_shared(); })), raylet_client(std::make_shared()), worker_client(std::make_shared()), @@ -486,7 +487,10 @@ class NormalTaskSubmitterTest : public testing::Test { task_manager(std::make_unique()), actor_creator(std::make_shared()), lease_policy(std::make_unique()), - lease_policy_ptr(lease_policy.get()) {} + lease_policy_ptr(lease_policy.get()) { + address.set_node_id(local_node_id.Binary()); + lease_policy_ptr->SetNodeID(local_node_id); + } NormalTaskSubmitter CreateNormalTaskSubmitter( std::shared_ptr rate_limiter, @@ -494,16 +498,24 @@ class NormalTaskSubmitterTest : public testing::Test { std::function(const rpc::Address &)> raylet_client_factory = nullptr, std::shared_ptr custom_memory_store = nullptr, - int64_t lease_timeout_ms = kLongTimeout, - NodeID local_node_id = NodeID::Nil()) { + int64_t lease_timeout_ms = kLongTimeout) { if (custom_memory_store != nullptr) { store = custom_memory_store; } if (raylet_client_factory == nullptr) { raylet_client_pool = std::make_shared( - [](const rpc::Address &) { return std::make_shared(); }); + [this](const rpc::Address &) { return this->raylet_client; }); } else { - raylet_client_pool = std::make_shared(raylet_client_factory); + raylet_client_pool = std::make_shared( + [this, raylet_client_factory]( + const rpc::Address &addr) -> std::shared_ptr { + NodeID addr_node_id = NodeID::FromBinary(addr.node_id()); + if (addr_node_id == local_node_id) { + return this->raylet_client; + } else { + return raylet_client_factory(addr); + } + }); } return NormalTaskSubmitter( address, @@ -523,6 +535,7 @@ class NormalTaskSubmitterTest : public testing::Test { boost::asio::steady_timer(io_context)); } + NodeID local_node_id; rpc::Address address; std::shared_ptr raylet_client_pool; std::shared_ptr raylet_client; @@ -1375,16 +1388,13 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { remote_raylet_clients[addr.port()] = client; return client; }; - auto local_node_id = NodeID::FromRandom(); - lease_policy_ptr->SetNodeID(local_node_id); auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, raylet_client_factory, store, - kLongTimeout, - local_node_id); + kLongTimeout); TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); @@ -1444,18 +1454,21 @@ void TestSchedulingKey(const std::shared_ptr store, const TaskSpecification &different) { rpc::Address address; auto raylet_client = std::make_shared(); + auto raylet_client_pool = std::make_shared( + [&](const rpc::Address &addr) { return raylet_client; }); auto worker_client = std::make_shared(); auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); + lease_policy->SetNodeID(NodeID::FromRandom()); instrumented_io_context io_context; NormalTaskSubmitter submitter( address, raylet_client, client_pool, - nullptr, + raylet_client_pool, std::move(lease_policy), store, *task_manager, From 653baf289b5cc401b5a235cd23aaac3258abeb33 Mon Sep 17 00:00:00 2001 From: lkchen Date: Wed, 13 Aug 2025 21:39:54 -0700 Subject: [PATCH 0685/1566] [data.llm] Add FAQ to doc, explain STRICT_PACK strategy used in data.llm (#55505) Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- doc/source/data/working-with-llms.rst | 26 +++++++++++++++++++++++--- 1 file changed, 23 insertions(+), 3 deletions(-) diff --git a/doc/source/data/working-with-llms.rst b/doc/source/data/working-with-llms.rst index 8b12c4add575..d9b052b03e83 100644 --- a/doc/source/data/working-with-llms.rst +++ b/doc/source/data/working-with-llms.rst @@ -343,14 +343,34 @@ Data for the following features and attributes is collected to improve Ray Data If you would like to opt-out from usage data collection, you can follow :ref:`Ray usage stats ` to turn it off. -.. _production_guide: +.. _faqs: -Production guide +Frequently Asked Questions (FAQs) -------------------------------------------------- +.. TODO(#55491): Rewrite this section once the restriction is lifted. +.. _cross_node_parallelism: + +How to configure LLM stage to parallelize across multiple nodes? +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +At the moment, Ray Data LLM doesn't support cross-node parallelism (either +tensor parallelism or pipeline parallelism). + +The processing pipeline is designed to run on a single node. The number of +GPUs is calculated as the product of the tensor parallel size and the pipeline +parallel size, and apply +[`STRICT_PACK` strategy](https://docs.ray.io/en/latest/ray-core/scheduling/placement-group.html#pgroup-strategy) +to ensure that each replica of the LLM stage is executed on a single node. + +Nevertheless, you can still horizontally scale the LLM stage to multiple nodes +as long as each replica (TP * PP) fits into a single node. The number of +replicas is configured by the `concurrency` argument in +:class:`vLLMEngineProcessorConfig `. + .. _model_cache: -Caching model weight to remote object storage +How to cache model weight to remote object storage ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ While deploying Ray Data LLM to large scale clusters, model loading may be rate From 76e00ea887cd1bb195335cca4feceeaf53f32aa3 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Thu, 14 Aug 2025 10:21:53 +0530 Subject: [PATCH 0686/1566] add support for async inference (#54824) This PR aims to provide basic support for asynchronous inference in the ray serve. RFC can be found at: https://github.com/ray-project/ray/issues/54652 The PR doesn't contains all the implementation pieces as having all the code changes in a single PR would be very difficult to review. Missing pieces are - implementation of failed and unprocessed task queue for the celery task processor - add more detailed and thorough tests for the same. These missing pieces will be taken care of in the subsequent PRs. --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- doc/source/serve/api/index.md | 3 + python/ray/serve/schema.py | 63 ++- python/ray/serve/task_consumer.py | 206 ++++++++ python/ray/serve/task_processor.py | 462 ++++++++++++++++++ python/ray/serve/tests/BUILD | 1 + python/ray/serve/tests/test_task_processor.py | 206 ++++++++ .../serve/tests/unit/test_task_consumer.py | 284 +++++++++++ python/requirements.txt | 1 + python/requirements_compiled.txt | 31 +- .../requirements_compiled_ray_py311_cpu.txt | 74 +++ .../requirements_compiled_ray_py311_cu121.txt | 74 +++ .../requirements_compiled_ray_py311_cu128.txt | 74 +++ ...quirements_compiled_ray_test_py311_cpu.txt | 63 +++ ...irements_compiled_ray_test_py311_cu121.txt | 63 +++ ...irements_compiled_ray_test_py311_cu128.txt | 63 +++ ...requirements_compiled_rayllm_py311_cpu.txt | 74 +++ ...quirements_compiled_rayllm_py311_cu121.txt | 74 +++ ...quirements_compiled_rayllm_py311_cu128.txt | 74 +++ ...rements_compiled_rayllm_test_py311_cpu.txt | 63 +++ ...ments_compiled_rayllm_test_py311_cu121.txt | 63 +++ ...ments_compiled_rayllm_test_py311_cu128.txt | 63 +++ python/setup.py | 11 + 22 files changed, 2088 insertions(+), 2 deletions(-) create mode 100644 python/ray/serve/task_consumer.py create mode 100644 python/ray/serve/task_processor.py create mode 100644 python/ray/serve/tests/test_task_processor.py create mode 100644 python/ray/serve/tests/unit/test_task_consumer.py diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index 52d8c502eb3f..75e60e8577d6 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -384,6 +384,9 @@ Content-Type: application/json schema.ServeApplicationSchema schema.DeploymentSchema schema.RayActorOptionsSchema + schema.CeleryAdapterConfig + schema.TaskProcessorConfig + schema.TaskResult ``` (serve-rest-api-response-schema)= diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 607097fee8a7..5ba0d8e0a344 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -2,7 +2,7 @@ from collections import Counter from dataclasses import dataclass, field from enum import Enum -from typing import Any, Dict, List, Optional, Set, Union +from typing import Any, Callable, Dict, List, Optional, Set, Union from zlib import crc32 from ray._common.pydantic_compat import ( @@ -1202,3 +1202,64 @@ def _get_user_facing_json_serializable_dict( ) return values + + +@PublicAPI(stability="alpha") +class CeleryAdapterConfig(BaseModel): + """ + Celery adapter config. You can use it to configure the Celery task processor for your Serve application. + """ + + broker_url: str = Field(..., description="The URL of the broker to use for Celery.") + backend_url: str = Field( + ..., description="The URL of the backend to use for Celery." + ) + broker_transport_options: Optional[Dict[str, Any]] = Field( + default=None, description="The broker transport options to use for Celery." + ) + worker_concurrency: Optional[int] = Field( + default=10, + description="The number of concurrent worker threads for the task processor.", + ) + + +@PublicAPI(stability="alpha") +class TaskProcessorConfig(BaseModel): + """ + Task processor config. You can use it to configure the task processor for your Serve application. + """ + + queue_name: str = Field( + ..., description="The name of the queue to use for task processing." + ) + adapter: Union[str, Callable] = Field( + default="ray.serve.task_processor.CeleryTaskProcessorAdapter", + description="The adapter to use for task processing. By default, Celery is used.", + ) + adapter_config: Any = Field(..., description="The adapter config.") + max_retries: Optional[int] = Field( + default=3, + description="The maximum number of times to retry a task before marking it as failed.", + ) + failed_task_queue_name: Optional[str] = Field( + default=None, + description="The name of the failed task queue. This is used to move failed tasks to a dead-letter queue after max retries.", + ) + unprocessable_task_queue_name: Optional[str] = Field( + default=None, + description="The name of the unprocessable task queue. This is used to move unprocessable tasks(like tasks with serialization issue, or missing handler) to a dead-letter queue.", + ) + + +@PublicAPI(stability="alpha") +class TaskResult(BaseModel): + """ + Task result Model. + """ + + id: str = Field(..., description="The ID of the task.") + status: str = Field(..., description="The status of the task.") + created_at: Optional[float] = Field( + default=None, description="The timestamp of the task creation." + ) + result: Any = Field(..., description="The result of the task.") diff --git a/python/ray/serve/task_consumer.py b/python/ray/serve/task_consumer.py new file mode 100644 index 000000000000..8210bc69ab31 --- /dev/null +++ b/python/ray/serve/task_consumer.py @@ -0,0 +1,206 @@ +import inspect +import logging +from functools import wraps +from typing import Callable, Optional + +from ray._common.utils import import_attr +from ray.serve._private.constants import SERVE_LOGGER_NAME +from ray.serve.schema import TaskProcessorConfig +from ray.serve.task_processor import TaskProcessorAdapter +from ray.util.annotations import PublicAPI + +logger = logging.getLogger(SERVE_LOGGER_NAME) + + +@PublicAPI(stability="alpha") +def instantiate_adapter_from_config( + task_processor_config: TaskProcessorConfig, +) -> TaskProcessorAdapter: + """ + Create a TaskProcessorAdapter instance from the provided configuration and call .initialize(). This function supports two ways to specify an adapter: + + 1. String path: A fully qualified module path to an adapter class + Example: "ray.serve.task_processor.CeleryTaskProcessorAdapter" + + 2. Class reference: A direct reference to an adapter class + Example: CeleryTaskProcessorAdapter + + Args: + task_processor_config: Configuration object containing adapter specification. + + Returns: + An initialized TaskProcessorAdapter instance ready for use. + + Raises: + ValueError: If the adapter string path is malformed or cannot be imported. + TypeError: If the adapter is not a string or callable class. + + Example: + .. code-block:: python + + config = TaskProcessorConfig( + adapter="my.module.CustomAdapter", + adapter_config={"param": "value"}, + queue_name="my_queue" + ) + adapter = instantiate_adapter_from_config(config) + """ + + adapter = task_processor_config.adapter + + # Handle string-based adapter specification (module path) + if isinstance(adapter, str): + adapter_class = import_attr(adapter) + + elif callable(adapter): + adapter_class = adapter + + else: + raise TypeError( + f"Adapter must be either a string path or a callable class, got {type(adapter).__name__}: {adapter}" + ) + + try: + adapter_instance = adapter_class(config=task_processor_config) + except Exception as e: + raise RuntimeError(f"Failed to instantiate {adapter_class.__name__}: {e}") + + if not isinstance(adapter_instance, TaskProcessorAdapter): + raise TypeError( + f"{adapter_class.__name__} must inherit from TaskProcessorAdapter, got {type(adapter_instance).__name__}" + ) + + try: + adapter_instance.initialize(config=task_processor_config) + except Exception as e: + raise RuntimeError(f"Failed to initialize {adapter_class.__name__}: {e}") + + return adapter_instance + + +@PublicAPI(stability="alpha") +def task_consumer(*, task_processor_config: TaskProcessorConfig): + """ + Decorator to mark a class as a TaskConsumer. + + Args: + task_processor_config: Configuration for the task processor (required) + + Note: + This decorator must be used with parentheses: + @task_consumer(task_processor_config=config) + + Returns: + A wrapper class that inherits from the target class and implements the task consumer functionality. + + Example: + .. code-block:: python + + from ray import serve + from ray.serve.task_consumer import task_consumer, task_handler + + @serve.deployment + @task_consumer(task_processor_config=config) + class MyTaskConsumer: + + @task_handler(name="my_task") + def my_task(self, *args, **kwargs): + pass + + """ + + def decorator(target_cls): + class TaskConsumerWrapper(target_cls): + _adapter: TaskProcessorAdapter + + def __init__(self, *args, **kwargs): + target_cls.__init__(self, *args, **kwargs) + + self._adapter = instantiate_adapter_from_config(task_processor_config) + + for name, method in inspect.getmembers( + target_cls, predicate=inspect.isfunction + ): + if getattr(method, "_is_task_handler", False): + task_name = getattr(method, "_task_name", name) + + # Create a callable that properly binds the method to this instance + bound_method = getattr(self, name) + + self._adapter.register_task_handle(bound_method, task_name) + + try: + self._adapter.start_consumer() + logger.info("task consumer started successfully") + except Exception as e: + logger.error(f"Failed to start task consumer: {e}") + raise + + def __del__(self): + self._adapter.stop_consumer() + self._adapter.shutdown() + + if hasattr(target_cls, "__del__"): + target_cls.__del__(self) + + return TaskConsumerWrapper + + return decorator + + +@PublicAPI(stability="alpha") +def task_handler( + _func: Optional[Callable] = None, *, name: Optional[str] = None +) -> Callable: + """ + Decorator to mark a method as a task handler. + Optionally specify a task name. Default is the method name. + + Arguments: + _func: The function to decorate. + name: The name of the task. + + Returns: + A wrapper function that is marked as a task handler. + + Example: + .. code-block:: python + + from ray import serve + from ray.serve.task_consumer import task_consumer, task_handler + + @serve.deployment + @task_consumer(task_processor_config=config) + class MyTaskConsumer: + + @task_handler(name="my_task") + def my_task(self, *args, **kwargs): + pass + + """ + + # Validate name parameter if provided + if name is not None and (not isinstance(name, str) or not name.strip()): + raise ValueError(f"Task name must be a non-empty string, got {name}") + + def decorator(f): + # async functions are not supported yet in celery `threads` worker pool + if not inspect.iscoroutinefunction(f): + + @wraps(f) + def wrapper(*args, **kwargs): + return f(*args, **kwargs) + + wrapper._is_task_handler = True # type: ignore + wrapper._task_name = name or f.__name__ # type: ignore + return wrapper + + else: + raise NotImplementedError("Async task handlers are not supported yet") + + if _func is not None: + # Used without arguments: @task_handler + return decorator(_func) + else: + # Used with arguments: @task_handler(name="...") + return decorator diff --git a/python/ray/serve/task_processor.py b/python/ray/serve/task_processor.py new file mode 100644 index 000000000000..ed7435b75981 --- /dev/null +++ b/python/ray/serve/task_processor.py @@ -0,0 +1,462 @@ +import logging +import threading +import time +from abc import ABC, abstractmethod +from enum import Enum, auto +from typing import Any, Callable, Dict, List, Optional, Set + +from celery import Celery + +from ray.serve._private.constants import SERVE_LOGGER_NAME +from ray.serve.schema import ( + CeleryAdapterConfig, + TaskProcessorConfig, + TaskResult, +) +from ray.util.annotations import PublicAPI + +logger = logging.getLogger(SERVE_LOGGER_NAME) + + +@PublicAPI(stability="alpha") +class AsyncCapability(Enum): + """ + Enum defining different async capabilities a TaskProcessor can support. + + Each capability represents an async operation that an adapter may or may not + support. Use TaskProcessorAdapter.supports_async_capability() to check if + a specific capability is available before using the corresponding async method. + """ + + ENQUEUE_TASK = auto() # Ability to enqueue tasks asynchronously + GET_TASK_STATUS = auto() # Ability to retrieve task status asynchronously + CANCEL_TASK = auto() # Ability to cancel tasks asynchronously + GET_METRICS = auto() # Ability to retrieve metrics asynchronously + HEALTH_CHECK = auto() # Ability to perform health checks asynchronously + + +@PublicAPI(stability="alpha") +class TaskProcessorAdapter(ABC): + """ + Abstract base class for task processing adapters. + + Subclasses can support different combinations of sync and async operations. + Use supports_async_capability() to check if a specific async operation is supported. + """ + + def __init__(self): + """ + Initialize the TaskProcessorAdapter. + + Sets up an empty set of async capabilities. Subclasses should add their + supported async capabilities to self._async_capabilities in their __init__ + method. + """ + self._async_capabilities: Set[AsyncCapability] = set() + + @property + def async_capabilities(self) -> Set[AsyncCapability]: + """ + Get the set of async capabilities supported by this adapter. + + Returns: + Set[AsyncCapability]: A copy of the set containing all async capabilities + supported by this adapter. Modifying the returned set will not affect + the adapter's capabilities. + """ + return self._async_capabilities.copy() + + def supports_async_capability(self, capability: AsyncCapability) -> bool: + """ + Check if this adapter supports a specific async capability. + + Args: + capability: The AsyncCapability enum value to check for. + + Returns: + bool: True if the capability is supported, False otherwise. + """ + return capability in self._async_capabilities + + def supports_any_async(self) -> bool: + """ + Check if this adapter supports any async operations. + + Returns: + bool: True if at least one async capability is supported, False if this is a sync-only adapter. + """ + return len(self._async_capabilities) > 0 + + @abstractmethod + def initialize(self, config: TaskProcessorConfig): + """ + Initialize the task processor with the given configuration. + + Args: + config: TaskProcessorConfig containing adapter-specific configuration, queue names, retry settings, and other options. + """ + pass + + @abstractmethod + def register_task_handle(self, func: Callable, name: Optional[str] = None): + """ + Register a function as a task handler. + + Args: + func: The function to register as a task handler. + name: Custom name for the task. + """ + pass + + @abstractmethod + def enqueue_task_sync( + self, + task_name: str, + args: Optional[Any] = None, + kwargs: Optional[Any] = None, + **options, + ) -> TaskResult: + """ + Enqueue a task for execution synchronously. + + Args: + task_name: Name of the registered task to execute. + args: Positional arguments to pass to the task function. + kwargs: Keyword arguments to pass to the task function. + **options: Additional adapter-specific options for task execution. + + Returns: + TaskResult: Object containing task ID, status, and other metadata. + """ + pass + + @abstractmethod + def get_task_status_sync(self, task_id: str) -> TaskResult: + """ + Retrieve the current status of a task synchronously. + + Args: + task_id: Unique identifier of the task to query. + + Returns: + TaskResult: Object containing current task status, result, and other metadata. + """ + pass + + @abstractmethod + def start_consumer(self, **kwargs): + """ + Start the task consumer/worker process. + """ + pass + + @abstractmethod + def stop_consumer(self, timeout: float = 10.0): + """ + Stop the task consumer gracefully. + + Args: + timeout: Maximum time in seconds to wait for the consumer to stop. + """ + pass + + @abstractmethod + def shutdown(self): + """ + Shutdown the task processor and clean up resources. + """ + pass + + @abstractmethod + def cancel_task_sync(self, task_id: str) -> bool: + """ + Cancel a task synchronously. + + Args: + task_id: Unique identifier of the task to cancel. + + Returns: + bool: True if cancellation was requested successfully. + """ + pass + + @abstractmethod + def get_metrics_sync(self) -> Dict[str, Any]: + """ + Get metrics synchronously. + + Returns: + Dict[str, Any]: Adapter-specific metrics data. + """ + pass + + @abstractmethod + def health_check_sync(self) -> List[Dict]: + """ + Perform health check synchronously. + + Returns: + List[Dict]: Health status information for workers/components. + """ + pass + + async def enqueue_task_async( + self, + task_name: str, + args: Optional[Any] = None, + kwargs: Optional[Any] = None, + **options, + ) -> TaskResult: + """ + Enqueue a task asynchronously. + + Args: + task_name: Name of the registered task to execute. + args: Positional arguments to pass to the task function. + kwargs: Keyword arguments to pass to the task function. + **options: Additional adapter-specific options for task execution. + + Returns: + TaskResult: Object containing task ID, status, and other metadata. + + Raises: + NotImplementedError: If async enqueue is not supported by this adapter. + """ + if not self.supports_async_capability(AsyncCapability.ENQUEUE_TASK): + raise NotImplementedError( + f"{self.__class__.__name__} does not support async task enqueueing. " + f"Use enqueue_task_sync() instead or check supports_async_capability() first." + ) + + raise NotImplementedError("Subclass must implement enqueue_task_async function") + + async def get_task_status_async(self, task_id: str) -> TaskResult: + """ + Get task status asynchronously. + + Args: + task_id: Unique identifier of the task to query. + + Returns: + TaskResult: Object containing current task status, result, and other metadata. + + Raises: + NotImplementedError: If async status retrieval is not supported by this adapter. + """ + if not self.supports_async_capability(AsyncCapability.GET_TASK_STATUS): + raise NotImplementedError( + f"{self.__class__.__name__} does not support async task status retrieval. " + f"Use get_task_status_sync() instead or check supports_async_capability() first." + ) + + raise NotImplementedError( + "Subclass must implement get_task_status_async function" + ) + + async def cancel_task_async(self, task_id: str) -> bool: + """ + Cancel a task. + + Args: + task_id: Unique identifier of the task to cancel. + + Returns: + bool: True if cancellation was requested successfully. + + Raises: + NotImplementedError: If async task cancellation is not supported by this adapter. + """ + if not self.supports_async_capability(AsyncCapability.CANCEL_TASK): + raise NotImplementedError( + f"{self.__class__.__name__} does not support async task cancellation. " + f"Check supports_async_capability() first." + ) + + raise NotImplementedError("Subclass must implement cancel_task_async function") + + async def get_metrics_async(self) -> Dict[str, Any]: + """ + Get metrics asynchronously. + + Returns: + Dict[str, Any]: Adapter-specific metrics data. + + Raises: + NotImplementedError: If async metrics retrieval is not supported by this adapter. + """ + if not self.supports_async_capability(AsyncCapability.GET_METRICS): + raise NotImplementedError( + f"{self.__class__.__name__} does not support async metrics retrieval. " + f"Check supports_async_capability() first." + ) + + raise NotImplementedError("Subclass must implement get_metrics_async function") + + async def health_check_async(self) -> List[Dict]: + """ + Perform health check asynchronously. + + Returns: + List[Dict]: Health status information for workers/components. + + Raises: + NotImplementedError: If async health check is not supported by this adapter. + """ + if not self.supports_async_capability(AsyncCapability.HEALTH_CHECK): + raise NotImplementedError( + f"{self.__class__.__name__} does not support async health check. " + f"Check supports_async_capability() first." + ) + + raise NotImplementedError("Subclass must implement health_check_async function") + + +@PublicAPI(stability="alpha") +class CeleryTaskProcessorAdapter(TaskProcessorAdapter): + """ + Celery-based task processor adapter. + This adapter does NOT support any async operations. + All operations must be performed synchronously. + """ + + _app: Celery + _config: TaskProcessorConfig + _worker_thread: Optional[threading.Thread] = None + + def __init__(self, config: TaskProcessorConfig): + super().__init__() + + if not isinstance(config.adapter_config, CeleryAdapterConfig): + raise TypeError( + "TaskProcessorConfig.adapter_config must be an instance of CeleryAdapterConfig" + ) + + self._config = config + + # Celery adapter does not support any async capabilities + # self._async_capabilities is already an empty set from parent class + + def initialize(self, config: TaskProcessorConfig): + self._app = Celery( + config.queue_name, + backend=config.adapter_config.backend_url, + broker=config.adapter_config.broker_url, + ) + + self._app.conf.update( + loglevel="info", + worker_pool="threads", + worker_concurrency=config.adapter_config.worker_concurrency, + max_retries=config.max_retries, + task_default_queue=config.queue_name, + # Store task results so they can be retrieved after completion + task_ignore_result=False, + # Acknowledge tasks only after completion (not when received) for better reliability + task_acks_late=True, + # Reject and requeue tasks when worker is lost to prevent data loss + reject_on_worker_lost=True, + ) + + if config.adapter_config.broker_transport_options is not None: + self._app.conf.update( + broker_transport_options=config.adapter_config.broker_transport_options, + ) + + ### TODO(harshit|SERVE-987): add the failed_task_queue_name and unprocessable_task_queue_name business logic here + + def register_task_handle(self, func, name=None): + task_options = { + "autoretry_for": (Exception,), + "retry_kwargs": {"max_retries": self._config.max_retries}, + "retry_backoff": True, + "retry_backoff_max": 60, # Max backoff of 60 seconds + "retry_jitter": False, # Disable jitter for predictable testing + } + + if name: + self._app.task(name=name, **task_options)(func) + else: + self._app.task(**task_options)(func) + + def enqueue_task_sync( + self, task_name, args=None, kwargs=None, **options + ) -> TaskResult: + task_response = self._app.send_task( + task_name, + args=args, + kwargs=kwargs, + queue=self._config.queue_name, + **options, + ) + + return TaskResult( + id=task_response.id, + status=task_response.status, + created_at=time.time(), + result=task_response.result, + ) + + def get_task_status_sync(self, task_id) -> TaskResult: + task_details = self._app.AsyncResult(task_id) + return TaskResult( + id=task_details.id, + result=task_details.result, + status=task_details.status, + ) + + def start_consumer(self, **kwargs): + """Starts the Celery worker thread.""" + if self._worker_thread is not None and self._worker_thread.is_alive(): + logger.info("Celery worker thread is already running.") + return + + self._worker_thread = threading.Thread( + target=self._app.worker_main, + args=(("worker", f"--hostname={self._app.main}"),), + ) + self._worker_thread.start() + + logger.info(f"Celery worker thread started with hostname: {self._app.main}") + + def stop_consumer(self, timeout: float = 10.0): + """Signals the Celery worker to shut down and waits for it to terminate.""" + if self._worker_thread is None or not self._worker_thread.is_alive(): + logger.info("Celery worker thread is not running.") + return + + logger.info("Sending shutdown signal to Celery worker...") + + # Use the worker's hostname for targeted shutdown + self._app.control.broadcast( + "shutdown", destination=[f"celery@{self._app.main}"] + ) + self._worker_thread.join(timeout=timeout) + + if self._worker_thread.is_alive(): + logger.warning(f"Worker thread did not terminate after {timeout} seconds.") + else: + logger.info("Celery worker thread has stopped.") + + self._worker_thread = None + + def shutdown(self): + self._app.control.shutdown() + + def cancel_task_sync(self, task_id) -> bool: + return self._app.AsyncResult(task_id).cancel() + + def get_metrics_sync(self) -> Dict[str, Any]: + """ + Returns the metrics of the Celery worker synchronously. + More details can be found here: https://docs.celeryq.dev/en/stable/reference/celery.app.control.html#celery.app.control.Inspect.stats + """ + return self._app.control.inspect().stats() + + def health_check_sync(self) -> List[Dict]: + """ + Checks the health of the Celery worker synchronously. + Returns a list of dictionaries, each containing the worker name and a dictionary with the health status. + Example: [{'celery@192.168.1.100': {'ok': 'pong'}}] + More details can be found here: https://docs.celeryq.dev/en/stable/reference/celery.app.control.html#celery.app.control.Control.ping + """ + return self._app.control.ping() diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index 3db7c5d6a0e8..997cc2de7a2b 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -47,6 +47,7 @@ py_test_module_list( "test_persistence.py", "test_proxy_actor_wrapper.py", "test_replica_request_context.py", + "test_task_processor.py", "test_util.py", "test_websockets.py", ], diff --git a/python/ray/serve/tests/test_task_processor.py b/python/ray/serve/tests/test_task_processor.py new file mode 100644 index 000000000000..171c67df8477 --- /dev/null +++ b/python/ray/serve/tests/test_task_processor.py @@ -0,0 +1,206 @@ +import sys +import tempfile +from pathlib import Path + +import pytest + +import ray +from ray import serve +from ray._common.test_utils import wait_for_condition +from ray.serve.schema import CeleryAdapterConfig, TaskProcessorConfig +from ray.serve.task_consumer import ( + instantiate_adapter_from_config, + task_consumer, + task_handler, +) + + +@ray.remote +def send_request_to_queue(processor_config: TaskProcessorConfig, data): + adapter_instance = instantiate_adapter_from_config( + task_processor_config=processor_config + ) + result = adapter_instance.enqueue_task_sync("process_request", args=[data]) + assert result.id is not None + return result.id + + +@pytest.fixture(scope="function") +def temp_queue_directory(): + """Creates a temporary directory with 'queue', 'results', and 'control' subdirectories for task consumer tests.""" + + with tempfile.TemporaryDirectory() as tmpdir: + tmpdir_path = Path(tmpdir) + + data_folder_queue = tmpdir_path / "queue" + data_folder_queue.mkdir() + + results_path = tmpdir_path / "results" + results_path.mkdir() + + control_path = tmpdir_path / "control" + control_path.mkdir() + + yield { + "queue_path": data_folder_queue, + "results_path": results_path, + "control_path": control_path, + } + + +@pytest.fixture(scope="function") +def transport_options(temp_queue_directory): + """Create standard transport options for filesystem broker.""" + + queue_path = temp_queue_directory["queue_path"] + control_path = temp_queue_directory["control_path"] + + return { + # Incoming message queue - where new task messages are written when sent to broker + "data_folder_in": queue_path, + # Outgoing message storage - where task results and responses are written after completion + "data_folder_out": queue_path, + # Processed message archive - where messages are moved after successful processing + "data_folder_processed": queue_path, + # Control message storage - where Celery management and control commands are stored + "control_folder": control_path, + } + + +@pytest.fixture(scope="function") +def create_processor_config(temp_queue_directory, transport_options): + """Create a TaskProcessorConfig with common defaults.""" + + def _create(**kwargs): + results_path = temp_queue_directory["results_path"] + + config_params = { + "queue_name": "my_default_app_queue", + "adapter_config": CeleryAdapterConfig( + broker_url="filesystem://", + backend_url=f"file://{results_path}", + broker_transport_options=transport_options, + ), + } + config_params.update(kwargs) + + return TaskProcessorConfig(**config_params) + + return _create + + +class TestTaskConsumerWithRayServe: + """Test task consumer integration with Ray Serve.""" + + def test_task_consumer_as_serve_deployment( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that task consumers can be used as Ray Serve deployments.""" + processor_config = create_processor_config() + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + def __init__(self): + self.data_received = None + self.task_received = False + + @task_handler(name="process_request") + def process_request(self, data): + self.task_received = True + self.data_received = data + + def assert_task_received(self): + assert self.task_received is True + assert self.data_received is not None + assert self.data_received == "test_data_1" + + # Deploy the consumer as a Serve deployment + handle = serve.run(ServeTaskConsumer.bind()) + send_request_to_queue.remote(processor_config, "test_data_1") + + def assert_result(): + try: + # `assert_task_received` will throw AssertionError if the task was not received or data is not as expected + handle.assert_task_received.remote().result() + return True + except Exception: + return False + + wait_for_condition(assert_result) + + def test_task_consumer_as_serve_deployment_with_failed_task( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that task consumers can be used as Ray Serve deployments.""" + processor_config = create_processor_config( + failed_task_queue_name="my_failed_task_queue" + ) + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + def __init__(self): + self.num_calls = 0 + + @task_handler(name="process_request") + def process_request(self, data): + self.num_calls += 1 + raise ValueError("Task failed as expected") + + def get_num_calls(self): + return self.num_calls + + handle = serve.run(ServeTaskConsumer.bind()) + task_id_ref = send_request_to_queue.remote(processor_config, "test_data_1") + task_id = ray.get(task_id_ref) + + adapter_instance = instantiate_adapter_from_config( + task_processor_config=processor_config + ) + + def assert_result(): + result = adapter_instance.get_task_status_sync(task_id) + + if ( + result.status == "FAILURE" + and result.result is not None + and isinstance(result.result, ValueError) + and str(result.result) == "Task failed as expected" + and handle.get_num_calls.remote().result() + == 1 + processor_config.max_retries + ): + return True + else: + return False + + wait_for_condition(assert_result, timeout=10) + + def test_task_consumer_as_serve_deployment_with_async_task_handler( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that task consumers properly raise NotImplementedError for async task handlers.""" + processor_config = create_processor_config() + + # Test that async task handlers raise NotImplementedError during decoration + with pytest.raises( + NotImplementedError, + match="Async task handlers are not supported yet", + ): + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + def __init__(self): + self.data_received = None + self.task_received = False + + # This async task handler should raise NotImplementedError during decoration + @task_handler(name="process_request") + async def process_request(self, data): + self.task_received = True + self.data_received = data + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/unit/test_task_consumer.py b/python/ray/serve/tests/unit/test_task_consumer.py new file mode 100644 index 000000000000..4fe3c547ed01 --- /dev/null +++ b/python/ray/serve/tests/unit/test_task_consumer.py @@ -0,0 +1,284 @@ +import sys +import uuid +from typing import Any, Dict, List +from unittest.mock import MagicMock, call + +import pytest + +from ray.serve.schema import CeleryAdapterConfig, TaskProcessorConfig, TaskResult +from ray.serve.task_consumer import task_consumer, task_handler +from ray.serve.task_processor import TaskProcessorAdapter + + +class MockTaskProcessorAdapter(TaskProcessorAdapter): + """Mock adapter for testing task processor functionality.""" + + _start_consumer_received: bool = False + _stop_consumer_received: bool = False + _shutdown_received: bool = False + + def __init__(self, config: TaskProcessorConfig): + self._config = config + self.register_task_handle_mock = MagicMock() + + def initialize(self, config: TaskProcessorConfig): + pass + + def register_task_handle(self, func, name=None): + self.register_task_handle_mock(func, name=name) + + def enqueue_task_sync( + self, task_name, args=None, kwargs=None, **options + ) -> TaskResult: + pass + + def get_task_status_sync(self, task_id) -> TaskResult: + pass + + def start_consumer(self, **kwargs): + self._start_consumer_received = True + + def stop_consumer(self, timeout: float = 10.0): + self._stop_consumer_received = True + + def shutdown(self): + self._shutdown_received = True + + def cancel_task_sync(self, task_id) -> bool: + pass + + def get_metrics_sync(self) -> Dict[str, Any]: + pass + + def health_check_sync(self) -> List[Dict]: + pass + + +@pytest.fixture +def config(): + """Provides a mock TaskProcessorConfig.""" + queue_name = f"test_queue_{uuid.uuid4().hex}" + return TaskProcessorConfig( + queue_name=queue_name, + adapter_config=CeleryAdapterConfig( + broker_url="fake://", + backend_url="fake://", + ), + adapter=MockTaskProcessorAdapter, + ) + + +class TestTaskHandlerDecorator: + """Test the task_handler decorator.""" + + def _create_and_test_handler(self, decorator_args=None, expected_name=None): + """Helper to create and test a task handler.""" + mock = MagicMock() + + if decorator_args is None: + + @task_handler + def test_handler(): + mock() + + else: + + @task_handler(**decorator_args) + def test_handler(): + mock() + + test_handler() + + assert mock.call_count == 1 + assert test_handler._task_name == expected_name + + def test_task_handler_decorator_with_name(self): + self._create_and_test_handler( + decorator_args={"name": "my_task"}, expected_name="my_task" + ) + + def test_task_handler_decorator_without_name(self): + self._create_and_test_handler(expected_name="test_handler") + + @pytest.mark.parametrize("invalid_name", ["", " ", 123]) + def test_task_handler_decorator_invalid_name(self, invalid_name): + """Test various invalid task names.""" + with pytest.raises( + ValueError, + match=f"Task name must be a non-empty string, got {invalid_name}", + ): + + @task_handler(name=invalid_name) + def my_task_handler(): + pass + + def test_task_handler_on_callable_object_without_name_attr(self): + """Test that AttributeError is raised for callables with no __name__.""" + + class MyCallable: + """A simple callable class without a __name__ attribute on instances.""" + + def __call__(self): + pass + + with pytest.raises(AttributeError): + task_handler(MyCallable()) + + +class TestTaskConsumerDecorator: + """Test the task_consumer decorator.""" + + def _verify_and_cleanup(self, instance, expected_calls=None): + """Verify consumer and cleanup instance.""" + adapter = instance._adapter + assert adapter._start_consumer_received + + if expected_calls is not None: + if expected_calls: + calls = [call(method, name=name) for method, name in expected_calls] + adapter.register_task_handle_mock.assert_has_calls( + calls, any_order=False + ) + assert adapter.register_task_handle_mock.call_count == len( + expected_calls + ) + else: + adapter.register_task_handle_mock.assert_not_called() + + del instance + + def _run_consumer_test( + self, config, consumer_class_factory, expected_calls_factory=None + ): + """Run a consumer test with factory functions.""" + consumer_class = consumer_class_factory(config) + instance = consumer_class() + + expected_calls = ( + expected_calls_factory(instance) if expected_calls_factory else None + ) + + self._verify_and_cleanup(instance, expected_calls) + + def test_task_consumer_basic(self, config): + """Test basic functionality of the task_consumer decorator.""" + + def make_consumer(cfg): + @task_consumer(task_processor_config=cfg) + class MyConsumer: + @task_handler + def my_task(self): + pass + + return MyConsumer + + self._run_consumer_test( + config, make_consumer, lambda inst: [(inst.my_task, "my_task")] + ) + + def test_task_consumer_multiple_handlers(self, config): + """Test with multiple task handlers.""" + + def make_consumer(cfg): + @task_consumer(task_processor_config=cfg) + class MyConsumer: + @task_handler + def task1(self): + pass + + @task_handler + def task2(self): + pass + + return MyConsumer + + self._run_consumer_test( + config, + make_consumer, + lambda inst: [(inst.task1, "task1"), (inst.task2, "task2")], + ) + + def test_task_consumer_custom_names(self, config): + """Test task handlers with and without custom names.""" + + def make_consumer(cfg): + @task_consumer(task_processor_config=cfg) + class MyConsumer: + @task_handler(name="custom_task") + def task1(self): + pass + + @task_handler + def task2(self): + pass + + return MyConsumer + + self._run_consumer_test( + config, + make_consumer, + lambda inst: [(inst.task1, "custom_task"), (inst.task2, "task2")], + ) + + def test_task_consumer_init_args(self, config): + """Test that __init__ arguments are passed correctly.""" + + @task_consumer(task_processor_config=config) + class MyConsumer: + def __init__(self, value): + self.value = value + + instance = MyConsumer(value=42) + assert instance.value == 42 + self._verify_and_cleanup(instance) + + def test_task_consumer_no_handlers(self, config): + """Test with a class that has no task handlers.""" + + def make_consumer(cfg): + @task_consumer(task_processor_config=cfg) + class MyConsumer: + def some_method(self): + pass + + return MyConsumer + + self._run_consumer_test(config, make_consumer, lambda inst: []) + + def test_task_consumer_inheritance(self, config): + """Test that inherited task handlers are registered.""" + + def make_consumer(cfg): + class BaseConsumer: + @task_handler + def base_task(self): + pass + + @task_consumer(task_processor_config=cfg) + class DerivedConsumer(BaseConsumer): + @task_handler + def derived_task(self): + pass + + return DerivedConsumer + + self._run_consumer_test( + config, + make_consumer, + lambda inst: [ + (inst.base_task, "base_task"), + (inst.derived_task, "derived_task"), + ], + ) + + def test_task_consumer_no_args_decorator(self): + """Test using @task_consumer without arguments raises TypeError.""" + with pytest.raises(TypeError): + + @task_consumer + class MyConsumer: + pass + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/requirements.txt b/python/requirements.txt index eb70dadc5f4e..2fbf538897d0 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -61,3 +61,4 @@ py-spy>=0.2.0; python_version < '3.12' py-spy>=0.4.0; python_version >= '3.12' memray; sys_platform != "win32" # memray is not supported on Windows pyOpenSSL +celery diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index d4cc152a26c0..343a3f4a396b 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -79,6 +79,8 @@ alembic==1.12.1 # optuna altair==5.1.2 # via gradio +amqp==5.3.1 + # via kombu annotated-types==0.6.0 # via pydantic antlr4-python3-runtime==4.11.1 @@ -203,6 +205,8 @@ beautifulsoup4==4.11.1 # via # -r python/requirements/test-requirements.txt # nbconvert +billiard==4.2.1 + # via celery black==22.10.0 # via -r python/requirements/lint-requirements.txt bleach==6.1.0 @@ -249,6 +253,8 @@ cachetools==5.5.2 # google-auth # mlflow-skinny # pyiceberg +celery==5.5.3 + # via -r python/requirements.txt certifi==2025.1.31 # via # -r python/requirements/cloud-requirements.txt @@ -285,7 +291,11 @@ click==8.1.7 # -r python/requirements/cloud-requirements.txt # aim # black + # celery + # click-didyoumean # click-option-group + # click-plugins + # click-repl # dask # distributed # flask @@ -298,8 +308,14 @@ click==8.1.7 # typer # uvicorn # wandb +click-didyoumean==0.3.1 + # via celery click-option-group==0.5.6 # via semgrep +click-plugins==1.1.1.2 + # via celery +click-repl==0.3.0 + # via celery clickhouse-connect==0.8.10 # via -r python/requirements/ml/data-test-requirements.txt cloudpickle==2.2.0 ; python_version < "3.12" @@ -963,6 +979,8 @@ kiwisolver==1.4.5 # via matplotlib knack==0.11.0 # via azure-cli-core +kombu==5.5.4 + # via celery kubernetes==24.2.0 # via -r python/requirements/test-requirements.txt labmaze==1.0.6 @@ -1363,6 +1381,7 @@ packaging==23.0 # jupyterlab-server # jupytext # knack + # kombu # lazy-loader # lightning-utilities # matplotlib @@ -1484,7 +1503,9 @@ prometheus-client==0.19.0 promise==2.3 # via tensorflow-datasets prompt-toolkit==3.0.41 - # via ipython + # via + # click-repl + # ipython propcache==0.3.0 # via # aiohttp @@ -1735,6 +1756,7 @@ python-dateutil==2.8.2 # aim # arrow # botocore + # celery # freezegun # google-cloud-bigquery # graphene @@ -2381,6 +2403,8 @@ typing-extensions==4.12.2 # tensorflow # torch # typer +tzdata==2025.2 + # via kombu tzlocal==5.3 # via -r python/requirements/cloud-requirements.txt ujson==5.10.0 @@ -2435,6 +2459,11 @@ uvloop==0.21.0 # vmc-draas-client-bindings # vsphere-automation-sdk # via vsphere-automation-sdk +vine==5.1.0 + # via + # amqp + # celery + # kombu virtualenv==20.29.1 # via # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 5cac2c637eaf..3f38abd46278 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -113,6 +113,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -134,12 +140,24 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -302,8 +320,30 @@ click==8.1.7 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -742,6 +782,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1164,6 +1210,7 @@ packaging==23.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt + # kombu # lazy-loader # scikit-image # tensorboardx @@ -1285,6 +1332,12 @@ prometheus-client==0.19.0 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt # opentelemetry-exporter-prometheus +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -1619,6 +1672,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ @@ -1937,6 +1991,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -1949,6 +2009,14 @@ uvicorn==0.22.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -1981,6 +2049,12 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index f50394202b62..0b2fee2cae5c 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -113,6 +113,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -134,12 +140,24 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -302,8 +320,30 @@ click==8.1.7 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -742,6 +782,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1164,6 +1210,7 @@ packaging==23.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt + # kombu # lazy-loader # scikit-image # tensorboardx @@ -1285,6 +1332,12 @@ prometheus-client==0.19.0 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt # opentelemetry-exporter-prometheus +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -1619,6 +1672,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ @@ -1937,6 +1991,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -1949,6 +2009,14 @@ uvicorn==0.22.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -1981,6 +2049,12 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index 28c3d535db38..206ecd7e66d8 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -113,6 +113,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -134,12 +140,24 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -302,8 +320,30 @@ click==8.1.7 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -742,6 +782,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1128,6 +1174,7 @@ packaging==23.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt + # kombu # lazy-loader # scikit-image # tensorboardx @@ -1249,6 +1296,12 @@ prometheus-client==0.19.0 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt # opentelemetry-exporter-prometheus +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -1583,6 +1636,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ @@ -1900,6 +1954,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -1912,6 +1972,14 @@ uvicorn==0.22.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -1944,6 +2012,12 @@ watchfiles==0.19.0 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index 989c6654e83d..81ea73f51d7f 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -127,6 +127,12 @@ aiosqlite==0.19.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ypy-websocket +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -238,6 +244,12 @@ beautifulsoup4==4.11.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 @@ -265,6 +277,12 @@ cachetools==5.5.2 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -430,8 +448,30 @@ click==8.1.7 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1299,6 +1339,12 @@ jupyterlab-widgets==3.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ipywidgets +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1879,6 +1925,7 @@ packaging==23.0 \ # jupyter-server # jupyterlab # jupyterlab-server + # kombu # lazy-loader # nbconvert # pytest @@ -2053,6 +2100,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c /tmp/ray-deps/requirements_compiled.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2503,6 +2551,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-json-logger==2.0.7 \ @@ -3105,6 +3154,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -3131,6 +3186,14 @@ uvicorn==0.22.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index f9fb02769003..87cdc9200725 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -127,6 +127,12 @@ aiosqlite==0.19.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ypy-websocket +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -238,6 +244,12 @@ beautifulsoup4==4.11.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 @@ -265,6 +277,12 @@ cachetools==5.5.2 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -430,8 +448,30 @@ click==8.1.7 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1299,6 +1339,12 @@ jupyterlab-widgets==3.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ipywidgets +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1879,6 +1925,7 @@ packaging==23.0 \ # jupyter-server # jupyterlab # jupyterlab-server + # kombu # lazy-loader # nbconvert # pytest @@ -2053,6 +2100,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c /tmp/ray-deps/requirements_compiled.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2503,6 +2551,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-json-logger==2.0.7 \ @@ -3105,6 +3154,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -3131,6 +3186,14 @@ uvicorn==0.22.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 21697b75b978..44f0ef21f41c 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -127,6 +127,12 @@ aiosqlite==0.19.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ypy-websocket +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -238,6 +244,12 @@ beautifulsoup4==4.11.1 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 @@ -265,6 +277,12 @@ cachetools==5.5.2 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -430,8 +448,30 @@ click==8.1.7 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1299,6 +1339,12 @@ jupyterlab-widgets==3.0.11 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # ipywidgets +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 @@ -1879,6 +1925,7 @@ packaging==23.0 \ # jupyter-server # jupyterlab # jupyterlab-server + # kombu # lazy-loader # nbconvert # pytest @@ -2053,6 +2100,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c /tmp/ray-deps/requirements_compiled.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2503,6 +2551,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-json-logger==2.0.7 \ @@ -3105,6 +3154,12 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -3131,6 +3186,14 @@ uvicorn==0.22.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index f98d7fb01c4c..3d4262a623c4 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -114,6 +114,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -143,6 +149,12 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ --hash=sha256:08f46c2f1c5f369f07409e3e4ff248bcb22617cd741f2224873d85982dd6034e \ @@ -287,6 +299,12 @@ cbor2==5.6.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -452,9 +470,31 @@ click==8.1.7 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1172,6 +1212,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -1834,6 +1880,7 @@ packaging==23.0 \ # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt # huggingface-hub + # kombu # lazy-loader # lm-format-enforcer # ray @@ -1975,6 +2022,12 @@ prometheus-fastapi-instrumentator==7.0.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # vllm +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -2509,6 +2562,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # celery # pandas python-dotenv==1.0.1 \ --hash=sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca \ @@ -3334,6 +3388,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -3389,6 +3449,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -3429,6 +3497,12 @@ watchfiles==0.19.0 \ # -r python/requirements.txt # uvicorn # vllm +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # prompt-toolkit websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ --hash=sha256:0f2205cdb444a42a7919690238fb5979a05439b9dbb73dd47c863d39640d85ab \ diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index b28613cf00e4..3e6dad764e0e 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -114,6 +114,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -143,6 +149,12 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ --hash=sha256:08f46c2f1c5f369f07409e3e4ff248bcb22617cd741f2224873d85982dd6034e \ @@ -287,6 +299,12 @@ cbor2==5.6.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -452,9 +470,31 @@ click==8.1.7 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1172,6 +1212,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -1950,6 +1996,7 @@ packaging==23.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt # huggingface-hub + # kombu # lazy-loader # lm-format-enforcer # ray @@ -2091,6 +2138,12 @@ prometheus-fastapi-instrumentator==7.0.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # vllm +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -2625,6 +2678,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # celery # pandas python-dotenv==1.0.1 \ --hash=sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca \ @@ -3469,6 +3523,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -3524,6 +3584,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -3564,6 +3632,12 @@ watchfiles==0.19.0 \ # -r python/requirements.txt # uvicorn # vllm +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # prompt-toolkit websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ --hash=sha256:0f2205cdb444a42a7919690238fb5979a05439b9dbb73dd47c863d39640d85ab \ diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index a944365fb566..05be84969dbb 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -114,6 +114,12 @@ aiosignal==1.3.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -143,6 +149,12 @@ attrs==25.1.0 \ # aiohttp # jsonschema # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery blake3==1.0.5 \ --hash=sha256:03638a6dc8546365c3576fdb293fb2c53b898ac80525b5742d9cf00b4f44dea5 \ --hash=sha256:043a226cebfedff7b51ab9c87d4476c06d2cd10776855eaa9c619f2272b3c32e \ @@ -287,6 +299,12 @@ cbor2==5.6.5 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -452,9 +470,31 @@ click==8.1.7 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1173,6 +1213,12 @@ jsonschema-specifications==2024.10.1 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -1874,6 +1920,7 @@ packaging==23.0 \ # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt # huggingface-hub + # kombu # lazy-loader # lm-format-enforcer # ray @@ -2015,6 +2062,12 @@ prometheus-fastapi-instrumentator==7.1.0 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # vllm +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ @@ -2549,6 +2602,7 @@ python-dateutil==2.8.2 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # celery # pandas python-dotenv==1.1.0 \ --hash=sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5 \ @@ -3362,6 +3416,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 @@ -3417,6 +3477,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 @@ -3457,6 +3525,12 @@ watchfiles==0.19.0 \ # -r python/requirements.txt # uvicorn # vllm +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # prompt-toolkit websockets==15.0.1 \ --hash=sha256:0701bc3cfcb9164d04a14b149fd74be7347a530ad3bbf15ab2c678a2cd3dd9a2 \ --hash=sha256:0a34631031a8f05657e8e90903e656959234f3a04552259458aac0b0f9ae6fd9 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index e96f530c2310..f3933c7fedad 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -133,6 +133,12 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -255,6 +261,12 @@ beautifulsoup4==4.11.1 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ --hash=sha256:08f46c2f1c5f369f07409e3e4ff248bcb22617cd741f2224873d85982dd6034e \ @@ -416,6 +428,12 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -584,9 +602,31 @@ click==8.1.7 \ # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1712,6 +1752,12 @@ jupytext==1.16.7 \ --hash=sha256:912f9d9af7bd3f15470105e5c5dddf1669b2d8c17f0c55772687fc5a4a73fe69 \ --hash=sha256:fc4e97f0890e22062c4ef10313c7ca960b07b3767246a1fef7585888cc2afe5d # via -r python/requirements/llm/llm-test-requirements.txt +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -2554,6 +2600,7 @@ packaging==23.0 \ # jupyterlab # jupyterlab-server # jupytext + # kombu # lazy-loader # lm-format-enforcer # nbconvert @@ -2746,6 +2793,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c python/requirements_compiled_ray_test_py311_cpu.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -3373,6 +3421,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-dotenv==1.0.1 \ @@ -4392,6 +4441,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -4459,6 +4514,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cpu.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index b7987154666c..164a9b50f775 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -133,6 +133,12 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -255,6 +261,12 @@ beautifulsoup4==4.11.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ --hash=sha256:08f46c2f1c5f369f07409e3e4ff248bcb22617cd741f2224873d85982dd6034e \ @@ -416,6 +428,12 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -584,9 +602,31 @@ click==8.1.7 \ # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1712,6 +1752,12 @@ jupytext==1.16.7 \ --hash=sha256:912f9d9af7bd3f15470105e5c5dddf1669b2d8c17f0c55772687fc5a4a73fe69 \ --hash=sha256:fc4e97f0890e22062c4ef10313c7ca960b07b3767246a1fef7585888cc2afe5d # via -r python/requirements/llm/llm-test-requirements.txt +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -2645,6 +2691,7 @@ packaging==23.0 \ # jupyterlab # jupyterlab-server # jupytext + # kombu # lazy-loader # lm-format-enforcer # nbconvert @@ -2837,6 +2884,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c python/requirements_compiled_ray_test_py311_cu121.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -3464,6 +3512,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-dotenv==1.0.1 \ @@ -4503,6 +4552,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -4570,6 +4625,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cu121.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index b50bdfd3c41b..e94cd04041cb 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -133,6 +133,12 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d @@ -255,6 +261,12 @@ beautifulsoup4==4.11.1 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # nbconvert +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery blake3==1.0.5 \ --hash=sha256:03638a6dc8546365c3576fdb293fb2c53b898ac80525b5742d9cf00b4f44dea5 \ --hash=sha256:043a226cebfedff7b51ab9c87d4476c06d2cd10776855eaa9c619f2272b3c32e \ @@ -416,6 +428,12 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via vllm +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe @@ -584,9 +602,31 @@ click==8.1.7 \ # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # celery + # click-didyoumean + # click-plugins + # click-repl # ray # typer # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 @@ -1712,6 +1752,12 @@ jupytext==1.17.2 \ --hash=sha256:4f85dc43bb6a24b75491c5c434001ad5ef563932f68f15dd3e1c8ce12a4a426b \ --hash=sha256:772d92898ac1f2ded69106f897b34af48ce4a85c985fa043a378ff5a65455f02 # via -r python/requirements/llm/llm-test-requirements.txt +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 @@ -2568,6 +2614,7 @@ packaging==23.0 \ # jupyterlab # jupyterlab-server # jupytext + # kombu # lazy-loader # lm-format-enforcer # nbconvert @@ -2760,6 +2807,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c python/requirements_compiled_ray_test_py311_cu128.txt + # click-repl # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -3387,6 +3435,7 @@ python-dateutil==2.8.2 \ # -r python/requirements/cloud-requirements.txt # arrow # botocore + # celery # jupyter-client # pandas python-dotenv==1.1.0 \ @@ -4395,6 +4444,12 @@ typing-extensions==4.12.2 \ # torch # typer # vllm +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c @@ -4462,6 +4517,14 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled_ray_test_py311_cu128.txt + # amqp + # celery + # kombu virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 diff --git a/python/setup.py b/python/setup.py index 71bd4a54a810..c0eb418d688c 100644 --- a/python/setup.py +++ b/python/setup.py @@ -299,6 +299,17 @@ def get_packages(self): ) ) + # This is required for supporting the asynchronous inference, allowing the ray serve applications to + # allow asynchronously execute their code, via the use of celery task processor. + setup_spec.extras["serve-async-inference"] = list( + set( + setup_spec.extras["serve"] + + [ + "celery", + ] + ) + ) + if RAY_EXTRA_CPP: setup_spec.extras["cpp"] = ["ray-cpp==" + setup_spec.version] From fa472ba45f07ce8f21b3eba98c60e1b921323a29 Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Wed, 13 Aug 2025 22:52:11 -0700 Subject: [PATCH 0687/1566] [serve.llm] fix: improve error handling for invalid model_id (#55589) Signed-off-by: Nikhil Ghosh Signed-off-by: Douglas Strodtman --- .../_internal/serve/configs/server_models.py | 32 ++++++++++++++++--- 1 file changed, 27 insertions(+), 5 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index d7f3b27a1944..f4d42174ef4e 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -223,8 +223,16 @@ def _infer_supports_vision(self, model_id_or_path: str) -> None: attribute based on whether the config has `vision_config`. All LVM models has `vision_config` setup. """ - hf_config = transformers.PretrainedConfig.from_pretrained(model_id_or_path) - self._supports_vision = hasattr(hf_config, "vision_config") + try: + hf_config = transformers.PretrainedConfig.from_pretrained(model_id_or_path) + self._supports_vision = hasattr(hf_config, "vision_config") + except Exception as e: + raise ValueError( + f"Failed to load Hugging Face config for model_id='{model_id_or_path}'.\ + Ensure `model_id` is a valid Hugging Face repo or a local path that \ + contains a valid `config.json` file. " + f"Original error: {repr(e)}" + ) from e def _set_model_architecture( self, @@ -236,9 +244,23 @@ def _set_model_architecture( attribute based on whether the config has `architectures`. """ if model_id_or_path: - hf_config = transformers.PretrainedConfig.from_pretrained(model_id_or_path) - if hasattr(hf_config, "architectures") and hf_config.architectures: - self._model_architecture = hf_config.architectures[0] + try: + hf_config = transformers.PretrainedConfig.from_pretrained( + model_id_or_path + ) + if ( + hf_config + and hasattr(hf_config, "architectures") + and hf_config.architectures + ): + self._model_architecture = hf_config.architectures[0] + except Exception as e: + raise ValueError( + f"Failed to load Hugging Face config for model_id='{model_id_or_path}'.\ + Ensure `model_id` is a valid Hugging Face repo or a local path that \ + contains a valid `config.json` file. " + f"Original error: {repr(e)}" + ) from e if model_architecture: self._model_architecture = model_architecture From 259c25377c94780badb7a4e112a579c5cfd2c54b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 00:59:20 -0700 Subject: [PATCH 0688/1566] [ci] fix incorrect ml-baseextra depends_on (#55596) to depends on the right wanda job Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 667d64c36cc8..3681e39d9b43 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -150,7 +150,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray-ml" - depends_on: raycudabaseextra + depends_on: ray-mlcudabase - name: ray-mlcpubase label: "wanda: ray-ml.py{{matrix}}.cpu.base" @@ -176,4 +176,4 @@ steps: env: PYTHON_VERSION: "{{matrix}}" IMAGE_TYPE: "ray-ml" - depends_on: raycpubaseextra + depends_on: ray-mlcpubase From df91499367f4e8566c8dd34c6e990dbd34fdb5e6 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Thu, 14 Aug 2025 17:08:01 +0200 Subject: [PATCH 0689/1566] [RLlib] Add docs for Implicit Q-Learning. (#55422) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-algorithms.rst | 32 +++++++++++++++++++++++++-- 1 file changed, 30 insertions(+), 2 deletions(-) diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index 41c109d5962b..1fdd788f4c7b 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -39,6 +39,10 @@ as well as multi-GPU training on multi-node (GPU) clusters when using the `Anysc +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ | :ref:`BC (Behavior Cloning) ` | |single_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| |discr_actions| | +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ +| :ref:`CQL (Conservative Q-Learning) ` | |single_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| | ++-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ +| :ref:`IQL (Implicit Q-Learning) ` | |single_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| | ++-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ | :ref:`MARWIL (Monotonic Advantage Re-Weighted Imitation Learning) ` | |single_agent| | |multi_gpu| |multi_node_multi_gpu| | |cont_actions| |discr_actions| | +-----------------------------------------------------------------------------+------------------------------+------------------------------------+--------------------------------+ | **Algorithm Extensions and -Plugins** | @@ -183,7 +187,7 @@ Asynchronous Proximal Policy Optimization (APPO) In a training iteration, APPO requests samples from all EnvRunners asynchronously and the collected episode samples are returned to the main algorithm process as Ray references rather than actual objects available on the local process. APPO then passes these episode references to the Learners for asynchronous updates of the model. - RLlib doesn't always synch back the weights to the EnvRunners right after a new model version is available. + RLlib doesn't always sync back the weights to the EnvRunners right after a new model version is available. To account for the EnvRunners being off-policy, APPO uses a procedure called v-trace, `described in the IMPALA paper `__. APPO scales out on both axes, supporting multiple EnvRunners for sample collection and multiple GPU- or CPU-based Learners @@ -363,6 +367,30 @@ Conservative Q-Learning (CQL) :members: training +.. _iql: + +Implicit Q-Learning (IQL) +------------------------- +`[paper] `__ +`[implementation] `__ + + **IQL architecture:** IQL (Implicit Q-Learning) is an offline RL algorithm that never needs to evaluate actions outside of + the dataset, but still enables the learned policy to improve substantially over the best behavior in the data through + generalization. Instead of standard TD-error minimization, it introduces a value function trained through expectile regression, + which yields a conservative estimate of returns. This allows policy improvement through advantage-weighted behavior cloning, + ensuring safer generalization without explicit exploration. + + The `IQLLearner` replaces the usual TD-based value loss with an expectile regression loss, and trains the policy to imitate + high-advantage actions—enabling substantial performance gains over the behavior policy using only in-dataset actions. + +**Tuned examples:** +`Pendulum-v1 `__ + +**IQL-specific configs** and :ref:`generic algorithm settings `): + +.. autoclass:: ray.rllib.algorithms.iql.iql.IQLConfig + :members: training + .. _marwil: Monotonic Advantage Re-Weighted Imitation Learning (MARWIL) @@ -376,7 +404,7 @@ Monotonic Advantage Re-Weighted Imitation Learning (MARWIL) **MARWIL architecture:** MARWIL is a hybrid imitation learning and policy gradient algorithm suitable for training on batched historical data. When the ``beta`` hyperparameter is set to zero, the MARWIL objective reduces to plain - imitation learning (see `BC`_). MARWIL uses Ray.Data to tap into its parallel data + imitation learning (see `BC`_). MARWIL uses Ray. Data to tap into its parallel data processing capabilities. In one training iteration, MARWIL reads episodes in parallel from offline files, for example `parquet `__, by the n DataWorkers. Connector pipelines preprocess these episodes into train batches and send these as data iterators directly to the n Learners for updating the model. From 0f498cc54ef752693b0b157f60da8f59d40d5f20 Mon Sep 17 00:00:00 2001 From: Jun-Hao Wan Date: Fri, 15 Aug 2025 00:09:47 +0800 Subject: [PATCH 0690/1566] [Doc][KubeRay] Add InteractiveMode description for `ray-job-quick-start.md` (#55570) Signed-off-by: win5923 Signed-off-by: Kai-Hsun Chen Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- .../kubernetes/getting-started/rayjob-quick-start.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md b/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md index b7102c0852b4..f70a700aa333 100644 --- a/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md +++ b/doc/source/cluster/kubernetes/getting-started/rayjob-quick-start.md @@ -49,8 +49,11 @@ To understand the following content better, you should understand the difference * `metadata` (Optional): See {ref}`Ray Jobs CLI API Reference ` for more details about the `--metadata-json` option. * `entrypointNumCpus` / `entrypointNumGpus` / `entrypointResources` (Optional): See {ref}`Ray Jobs CLI API Reference ` for more details. * `backoffLimit` (Optional, added in version 1.2.0): Specifies the number of retries before marking this RayJob failed. Each retry creates a new RayCluster. The default value is 0. -* Submission configuration - * `submissionMode` (Optional): `submissionMode` specifies how RayJob submits the Ray job to the RayCluster. In "K8sJobMode", the KubeRay operator creates a submitter Kubernetes Job to submit the Ray job. In "HTTPMode", the KubeRay operator sends a request to the RayCluster to create a Ray job. The default value is "K8sJobMode". +* Submission configuration + * `submissionMode` (Optional): Specifies how RayJob submits the Ray job to the RayCluster. There are three possible values, with the default being `K8sJobMode`. + * `K8sJobMode`: The KubeRay operator creates a submitter Kubernetes Job to submit the Ray job. + * `HTTPMode`: The KubeRay operator sends a request to the RayCluster to create a Ray job. + * `InteractiveMode`: The KubeRay operator waits for the user to submit a job to the RayCluster. This mode is currently in alpha and the [KubeRay kubectl plugin](kubectl-plugin) relies on it. * `submitterPodTemplate` (Optional): Defines the Pod template for the submitter Kubernetes Job. This field is only effective when `submissionMode` is "K8sJobMode". * `RAY_DASHBOARD_ADDRESS` - The KubeRay operator injects this environment variable to the submitter Pod. The value is `$HEAD_SERVICE:$DASHBOARD_PORT`. * `RAY_JOB_SUBMISSION_ID` - The KubeRay operator injects this environment variable to the submitter Pod. The value is the `RayJob.Status.JobId` of the RayJob. @@ -201,4 +204,4 @@ kind delete cluster * [RayJob Batch Inference Example](kuberay-batch-inference-example) * [Priority Scheduling with RayJob and Kueue](kuberay-kueue-priority-scheduling-example) -* [Gang Scheduling with RayJob and Kueue](kuberay-kueue-gang-scheduling-example) \ No newline at end of file +* [Gang Scheduling with RayJob and Kueue](kuberay-kueue-gang-scheduling-example) From 8fed5bfcaf0802883b4598cab7147f92802e63cc Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 10:01:25 -0700 Subject: [PATCH 0691/1566] [ci] remove unused `use_base_extra` (#55604) added incorrectly in a past change Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/docker_container.py | 1 - 1 file changed, 1 deletion(-) diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 8a83e671e4b7..73a6f3d2879c 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -47,7 +47,6 @@ def __init__( architecture: str = DEFAULT_ARCHITECTURE, canonical_tag: str = None, upload: bool = False, - use_base_extra: bool = False, ) -> None: assert "RAYCI_CHECKOUT_DIR" in os.environ, "RAYCI_CHECKOUT_DIR not set" From 9743e7bdd0f5e7368cf2dd4dcec0390893699a14 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 10:01:39 -0700 Subject: [PATCH 0692/1566] [image] add base-extra for aarch64 images (#55586) for easier use on ray cluster hosters like anyscale. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 7 +++ .buildkite/linux_aarch64.rayci.yml | 71 +++++++++++++++++----- ci/docker/ray.cpu.base-extra.wanda.yaml | 8 +-- ci/docker/ray.cpu.base.aarch64.wanda.yaml | 10 --- ci/docker/ray.cpu.base.wanda.yaml | 4 +- ci/docker/ray.cuda.base-extra.wanda.yaml | 8 +-- ci/docker/ray.cuda.base.aarch64.wanda.yaml | 10 --- ci/docker/ray.cuda.base.wanda.yaml | 4 +- 8 files changed, 75 insertions(+), 47 deletions(-) delete mode 100644 ci/docker/ray.cpu.base.aarch64.wanda.yaml delete mode 100644 ci/docker/ray.cuda.base.aarch64.wanda.yaml diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 3681e39d9b43..e74f90edf048 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -19,6 +19,7 @@ steps: - "3.12" env: PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "" - name: raycpubaseextra label: "wanda: ray.py{{matrix}}.cpu.base-extra" @@ -31,6 +32,7 @@ steps: env: PYTHON_VERSION: "{{matrix}}" IMAGE_TYPE: "ray" + ARCH_SUFFIX: "" depends_on: raycpubase - name: raycudabase @@ -58,6 +60,7 @@ steps: env: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" + ARCH_SUFFIX: "" - name: raycudabaseextra label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" @@ -82,6 +85,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray" + ARCH_SUFFIX: "" depends_on: raycudabase - name: ray-llmbase @@ -114,6 +118,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray-llm" + ARCH_SUFFIX: "" depends_on: ray-llmbase - name: ray-mlcudabase @@ -150,6 +155,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray-ml" + ARCH_SUFFIX: "" depends_on: ray-mlcudabase - name: ray-mlcpubase @@ -176,4 +182,5 @@ steps: env: PYTHON_VERSION: "{{matrix}}" IMAGE_TYPE: "ray-ml" + ARCH_SUFFIX: "" depends_on: ray-mlcpubase diff --git a/.buildkite/linux_aarch64.rayci.yml b/.buildkite/linux_aarch64.rayci.yml index 0ba034ec1064..91bab540ab12 100644 --- a/.buildkite/linux_aarch64.rayci.yml +++ b/.buildkite/linux_aarch64.rayci.yml @@ -13,13 +13,43 @@ steps: wanda: ci/docker/manylinux.aarch64.wanda.yaml instance_type: builder-arm64 + - name: raycpubase-aarch64 + label: "wanda: ray.py{{matrix}}.cpu.base (aarch64)" + tags: + - python_dependencies + - docker + wanda: ci/docker/ray.cpu.base.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + instance_type: builder-arm64 + env: + PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "-aarch64" + + - name: raycpubaseextra-aarch64 + label: "wanda: ray.py{{matrix}}.cpu.base-extra (aarch64)" + wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + instance_type: builder-arm64 + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray" + ARCH_SUFFIX: "-aarch64" + depends_on: raycpubase-aarch64 + - name: raycudabase-aarch64 label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base (aarch64)" tags: - python_dependencies - docker - - core_cpp - wanda: ci/docker/ray.cuda.base.aarch64.wanda.yaml + wanda: ci/docker/ray.cuda.base.wanda.yaml matrix: setup: python: @@ -40,22 +70,34 @@ steps: env: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" + ARCH_SUFFIX: "-aarch64" - - name: raycpubase-aarch64 - label: "wanda: ray.py{{matrix}}.cpu.base (aarch64)" - tags: - - python_dependencies - - docker - - core_cpp - wanda: ci/docker/ray.cpu.base.aarch64.wanda.yaml + - name: raycudabaseextra-aarch64 + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra (aarch64)" + wanda: ci/docker/ray.cuda.base-extra.wanda.yaml matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1-cudnn8" + - "11.8.0-cudnn8" + - "12.1.1-cudnn8" + - "12.3.2-cudnn9" + - "12.4.1-cudnn" + - "12.5.1-cudnn" + - "12.6.3-cudnn" + - "12.8.1-cudnn" instance_type: builder-arm64 env: - PYTHON_VERSION: "{{matrix}}" + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray" + ARCH_SUFFIX: "-aarch64" + depends_on: raycudabase-aarch64 - label: ":tapioca: build: wheel {{matrix}} (aarch64)" tags: @@ -81,7 +123,6 @@ steps: tags: - python_dependencies - docker - - core_cpp - oss instance_type: medium-arm64 commands: diff --git a/ci/docker/ray.cpu.base-extra.wanda.yaml b/ci/docker/ray.cpu.base-extra.wanda.yaml index 0792fba51ec9..2a73f4bc7192 100644 --- a/ci/docker/ray.cpu.base-extra.wanda.yaml +++ b/ci/docker/ray.cpu.base-extra.wanda.yaml @@ -1,7 +1,7 @@ -name: "$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra" -froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base"] +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra$ARCH_SUFFIX" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX"] dockerfile: docker/base-extra/Dockerfile build_args: - - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX tags: - - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra$ARCH_SUFFIX diff --git a/ci/docker/ray.cpu.base.aarch64.wanda.yaml b/ci/docker/ray.cpu.base.aarch64.wanda.yaml deleted file mode 100644 index 70d81359ad31..000000000000 --- a/ci/docker/ray.cpu.base.aarch64.wanda.yaml +++ /dev/null @@ -1,10 +0,0 @@ -name: "ray-py$PYTHON_VERSION-cpu-base-aarch64" -froms: ["ubuntu:22.04"] -dockerfile: docker/base-deps/Dockerfile -srcs: - - python/requirements_compiled.txt -build_args: - - PYTHON_VERSION - - BASE_IMAGE=ubuntu:22.04 -tags: - - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cpu-base-aarch64 diff --git a/ci/docker/ray.cpu.base.wanda.yaml b/ci/docker/ray.cpu.base.wanda.yaml index 895605ed8f71..ecb8f1c3f1e9 100644 --- a/ci/docker/ray.cpu.base.wanda.yaml +++ b/ci/docker/ray.cpu.base.wanda.yaml @@ -1,4 +1,4 @@ -name: "ray-py$PYTHON_VERSION-cpu-base" +name: "ray-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX" froms: ["ubuntu:22.04"] dockerfile: docker/base-deps/Dockerfile srcs: @@ -7,4 +7,4 @@ build_args: - PYTHON_VERSION - BASE_IMAGE=ubuntu:22.04 tags: - - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cpu-base + - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX diff --git a/ci/docker/ray.cuda.base-extra.wanda.yaml b/ci/docker/ray.cuda.base-extra.wanda.yaml index ff1fab0a919f..10584d5d984f 100644 --- a/ci/docker/ray.cuda.base-extra.wanda.yaml +++ b/ci/docker/ray.cuda.base-extra.wanda.yaml @@ -1,7 +1,7 @@ -name: "$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra" -froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base"] +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra$ARCH_SUFFIX" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX"] dockerfile: docker/base-extra/Dockerfile build_args: - - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX tags: - - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra$ARCH_SUFFIX diff --git a/ci/docker/ray.cuda.base.aarch64.wanda.yaml b/ci/docker/ray.cuda.base.aarch64.wanda.yaml deleted file mode 100644 index 325525355b44..000000000000 --- a/ci/docker/ray.cuda.base.aarch64.wanda.yaml +++ /dev/null @@ -1,10 +0,0 @@ -name: "ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base-aarch64" -froms: ["nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04"] -dockerfile: docker/base-deps/Dockerfile -srcs: - - python/requirements_compiled.txt -build_args: - - PYTHON_VERSION - - BASE_IMAGE=nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04 -tags: - - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base-aarch64 diff --git a/ci/docker/ray.cuda.base.wanda.yaml b/ci/docker/ray.cuda.base.wanda.yaml index 0bcd7611c921..44b47fc0dde2 100644 --- a/ci/docker/ray.cuda.base.wanda.yaml +++ b/ci/docker/ray.cuda.base.wanda.yaml @@ -1,4 +1,4 @@ -name: "ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base" +name: "ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX" froms: ["nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04"] dockerfile: docker/base-deps/Dockerfile srcs: @@ -7,4 +7,4 @@ build_args: - PYTHON_VERSION - BASE_IMAGE=nvidia/cuda:$CUDA_VERSION-devel-ubuntu22.04 tags: - - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base + - cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX From 964b689d2f2ec7a166b580dfafe7175249f8116a Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Thu, 14 Aug 2025 10:02:16 -0700 Subject: [PATCH 0693/1566] [core][gpu-object] Add a user-facing call to wait for tensor to be freed (#55076) This adds a call `ray.experimental.wait_tensor_freed` that allows user code to check when a tensor that it put into Ray's GPU object store has been freed. Unlike the normal Ray object store, the GPU object store is just a Python data structure on the actor, which allows us to avoid copying. This means that the actor can keep a reference to an object in its store. The API call allows the actor to check when the object has been freed from the store, so that it can safely write to the tensor again. Closes #52341. --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 10 +- python/ray/_private/worker.py | 9 +- python/ray/experimental/__init__.py | 3 +- .../gpu_object_manager/__init__.py | 7 +- .../gpu_object_manager/gpu_object_manager.py | 28 ++++- .../gpu_object_manager/gpu_object_store.py | 68 +++++++---- python/ray/tests/test_gpu_objects_gloo.py | 115 +++++++++++++++++- 7 files changed, 198 insertions(+), 42 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index bc2ac1af8d63..077aa90c3f57 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -7,8 +7,6 @@ if TYPE_CHECKING: import torch - from ray.experimental.gpu_object_manager.gpu_object_store import GPUObject - import google.protobuf.message import ray._private.utils @@ -506,7 +504,7 @@ def deserialize_objects( self, serialized_ray_objects: List[SerializedRayObject], object_refs, - gpu_objects: Dict[str, "GPUObject"], + gpu_objects: Dict[str, List["torch.Tensor"]], ): assert len(serialized_ray_objects) == len(object_refs) # initialize the thread-local field @@ -524,11 +522,7 @@ def deserialize_objects( if object_ref is not None: object_id = object_ref.hex() if object_id in gpu_objects: - gpu_object = gpu_objects[object_id] - object_tensors = gpu_object.data - gpu_object.num_readers -= 1 - if gpu_object.num_readers == 0: - gpu_objects.pop(object_id) + object_tensors = gpu_objects[object_id] obj = self._deserialize_object( data, metadata, diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index dacaa9e2ff7f..d81789c60f89 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -38,6 +38,9 @@ ) from urllib.parse import urlparse +if TYPE_CHECKING: + import torch + import colorama import ray @@ -101,9 +104,6 @@ from ray.widgets import Template from ray.widgets.util import repr_with_fallback -if TYPE_CHECKING: - from ray.experimental.gpu_object_manager import GPUObject - SCRIPT_MODE = 0 WORKER_MODE = 1 LOCAL_MODE = 2 @@ -871,7 +871,7 @@ def raise_errors(self, serialized_objects, object_refs): _unhandled_error_handler(e) def deserialize_objects(self, serialized_objects, object_refs): - gpu_objects: Dict[str, GPUObject] = {} + gpu_objects: Dict[str, List["torch.Tensor"]] = {} for obj_ref, (_, _, tensor_transport) in zip(object_refs, serialized_objects): # If using a non-object store transport, then tensors will be sent # out-of-band. Get them before deserializing the object store data. @@ -886,7 +886,6 @@ def deserialize_objects(self, serialized_objects, object_refs): gpu_objects[object_id] = self.gpu_object_manager.get_gpu_object( object_id ) - gpu_objects[object_id].num_readers += 1 # Function actor manager or the import thread may call pickle.loads # at the same time which can lead to failed imports diff --git a/python/ray/experimental/__init__.py b/python/ray/experimental/__init__.py index 57e565dd2d44..c6c5403a4ea0 100644 --- a/python/ray/experimental/__init__.py +++ b/python/ray/experimental/__init__.py @@ -1,10 +1,11 @@ from ray.experimental.dynamic_resources import set_resource from ray.experimental.locations import get_local_object_locations, get_object_locations -from ray.experimental.gpu_object_manager import GPUObjectManager +from ray.experimental.gpu_object_manager import GPUObjectManager, wait_tensor_freed __all__ = [ "get_object_locations", "get_local_object_locations", "set_resource", "GPUObjectManager", + "wait_tensor_freed", ] diff --git a/python/ray/experimental/gpu_object_manager/__init__.py b/python/ray/experimental/gpu_object_manager/__init__.py index 9cc5b4d9c981..13be59395445 100644 --- a/python/ray/experimental/gpu_object_manager/__init__.py +++ b/python/ray/experimental/gpu_object_manager/__init__.py @@ -1,3 +1,6 @@ -from ray.experimental.gpu_object_manager.gpu_object_manager import GPUObjectManager +from ray.experimental.gpu_object_manager.gpu_object_manager import ( + GPUObjectManager, + wait_tensor_freed, +) -__all__ = ["GPUObjectManager"] +__all__ = ["GPUObjectManager", "wait_tensor_freed"] diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 06a2b040e49e..c45ff36572aa 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -11,7 +11,6 @@ import torch from ray.experimental.gpu_object_manager.gpu_object_store import ( GPUObjectStore, - GPUObject, ) # GPUObjectMeta is a named tuple containing the source actor, tensor transport @@ -28,6 +27,31 @@ class GPUObjectMeta(NamedTuple): tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] +# TODO(swang): Uncomment and add an API docs page and example usage. +# @PublicAPI(stability="alpha") +def wait_tensor_freed(tensor: "torch.Tensor", timeout: Optional[float] = None): + """ + Wait for the tensor to be freed from this actor's GPU object store. + + This function is useful for cases where an actor keeps a reference to a + tensor after returning the tensor from a task annotated with + `@ray.method(tensor_transport=...)`. Tensors that are returned by these + tasks may be sent to other actors while the corresponding `ray.ObjectRef` is + still in scope. If the actor modifies the tensor while it is still in the + actor's GPU object store, then Ray may end up sending invalid data to other + tasks. Call this function to ensure that the `ray.ObjectRef` has gone out of + scope and therefore the tensor is safe to write to again. + + Args: + tensor: The tensor to wait to be freed. + timeout: The timeout in seconds. Set to None to wait indefinitely. Note + that this function could then hang if the `ray.ObjectRef` that + refers to this tensor never goes out of scope. + """ + gpu_object_manager = ray.worker.global_worker.gpu_object_manager + gpu_object_manager.gpu_object_store.wait_tensor_freed(tensor, timeout) + + class GPUObjectManager: def __init__(self): # A dictionary that maps from owned object's ID to GPUObjectMeta. @@ -268,7 +292,7 @@ def trigger_out_of_band_tensor_transfer( communicator.name, dst_actor, obj_id, src_rank, tensor_meta ) - def get_gpu_object(self, object_id: str) -> "GPUObject": + def get_gpu_object(self, object_id: str) -> List["torch.Tensor"]: """ Get the GPU object for a given object ID. """ diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index b16e056685c7..9a15f0da7cc4 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,6 +1,7 @@ from dataclasses import dataclass -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Set import threading +from collections import defaultdict import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum @@ -45,7 +46,7 @@ def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" - tensors = gpu_object_store.get_object(obj_id).data + tensors = gpu_object_store.get_object(obj_id) backend = collective.get_group_handle(communicator_name).backend() device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] @@ -92,7 +93,7 @@ def __ray_get_tensor_meta__(self, obj_id: str): # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) - return [(t.shape, t.dtype) for t in gpu_object.data] + return [(t.shape, t.dtype) for t in gpu_object] def __ray_fetch_gpu_object__(self, obj_id: str): @@ -104,21 +105,15 @@ def __ray_fetch_gpu_object__(self, obj_id: str): obj_id ), f"obj_id={obj_id} not found in GPU object store" gpu_object = gpu_object_store.get_object(obj_id) - return gpu_object.data + return gpu_object @dataclass -class GPUObject: +class _GPUObject: # A list of tensors representing the GPU object. data: List["torch.Tensor"] # Whether the GPU object is the primary copy. is_primary: bool - # The number of reads allowed to the GPU object before it will be GCed from this actor. - # This is used to implement garbage collection for receiver actors, - # handling cases where the same GPU object reference is passed to the - # same actor task multiple times. For sender actors, we still rely on - # the object store's reference counting mechanism. - num_readers: int = 0 class GPUObjectStore: @@ -137,19 +132,27 @@ def __init__(self): # A dictionary that maps from an object ID to a list of tensors. # # Note: Currently, `gpu_object_store` is only supported for Ray Actors. - self._gpu_object_store: Dict[str, GPUObject] = {} + self._gpu_object_store: Dict[str, _GPUObject] = {} + # Mapping from tensor to the IDs of objects that contain it. + self._tensor_to_object_ids: Dict["torch.Tensor", Set[str]] = defaultdict(set) # Synchronization for GPU object store. self._lock = threading.RLock() # Signal when an object becomes present in the object store. self._object_present_cv = threading.Condition(self._lock) + # Signal when an object is freed from the object store. + self._object_freed_cv = threading.Condition(self._lock) def has_object(self, obj_id: str) -> bool: with self._lock: return obj_id in self._gpu_object_store - def get_object(self, obj_id: str) -> Optional[GPUObject]: + def has_tensor(self, tensor: "torch.Tensor") -> bool: with self._lock: - return self._gpu_object_store[obj_id] + return tensor in self._tensor_to_object_ids + + def get_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: + with self._lock: + return self._gpu_object_store[obj_id].data def add_object( self, @@ -166,7 +169,9 @@ def add_object( is_primary: Whether the GPU object is the primary copy. """ with self._object_present_cv: - self._gpu_object_store[obj_id] = GPUObject( + for tensor in gpu_object: + self._tensor_to_object_ids[tensor].add(obj_id) + self._gpu_object_store[obj_id] = _GPUObject( gpu_object, is_primary, ) @@ -181,7 +186,7 @@ def is_primary_copy(self, obj_id: str) -> bool: def wait_and_get_object( self, obj_id: str, timeout: Optional[float] = None - ) -> GPUObject: + ) -> List["torch.Tensor"]: """Atomically waits for the GPU object to be present in the GPU object store, then gets it. If the object is not present after the optional timeout, raise a TimeoutError. @@ -200,7 +205,7 @@ def wait_and_get_object( def wait_and_pop_object( self, obj_id: str, timeout: Optional[float] = None - ) -> GPUObject: + ) -> List["torch.Tensor"]: """Atomically waits for the GPU object to be present in the GPU object store, then pops it. If the object is not present after the optional timeout, raise a TimeoutError. @@ -230,20 +235,39 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: indefinitely. """ with self._object_present_cv: - present = self._object_present_cv.wait_for( + if not self._object_present_cv.wait_for( lambda: obj_id in self._gpu_object_store, timeout=timeout - ) - if not present: + ): raise TimeoutError( f"ObjectRef({obj_id}) not found in GPU object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" ) - def pop_object(self, obj_id: str) -> GPUObject: + def pop_object(self, obj_id: str) -> List["torch.Tensor"]: with self._lock: assert ( obj_id in self._gpu_object_store ), f"obj_id={obj_id} not found in GPU object store" - return self._gpu_object_store.pop(obj_id) + gpu_object = self._gpu_object_store.pop(obj_id) + for tensor in gpu_object.data: + self._tensor_to_object_ids[tensor].remove(obj_id) + if len(self._tensor_to_object_ids[tensor]) == 0: + self._tensor_to_object_ids.pop(tensor) + self._object_freed_cv.notify_all() + return gpu_object.data + + def wait_tensor_freed( + self, tensor: "torch.Tensor", timeout: Optional[float] = None + ) -> None: + """ + Wait for the object to be freed from the GPU object store. + """ + with self._object_freed_cv: + if not self._object_freed_cv.wait_for( + lambda: tensor not in self._tensor_to_object_ids, timeout=timeout + ): + raise TimeoutError( + f"Tensor {tensor} not freed from GPU object store after {timeout}s. The tensor will not be freed until all ObjectRefs containing the tensor have gone out of scope." + ) def get_num_objects(self) -> int: """ diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index ead9c93461a1..9a771eb2f052 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -2,7 +2,9 @@ import random import torch import pytest +import threading import ray +import time from ray.experimental.collective import create_collective_group from ray._private.custom_types import TensorTransportEnum from ray._common.test_utils import wait_for_condition @@ -36,8 +38,7 @@ def get_out_of_band_tensors(self, obj_id: str, timeout=None): ) if timeout is None: timeout = 0 - gpu_object = gpu_object_store.wait_and_get_object(obj_id, timeout) - return gpu_object.data + return gpu_object_store.wait_and_get_object(obj_id, timeout) def get_num_gpu_objects(self): gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager @@ -542,5 +543,115 @@ def test_app_error_fetch_to_driver(ray_start_regular): assert torch.equal(ray.get(ref), small_tensor) +def test_write_after_save(ray_start_regular): + """Check that an actor can safely write to a tensor after saving it to its + local state by calling `ray.experimental.wait_tensor_freed`.""" + + @ray.remote(enable_tensor_transport=True) + class GPUTestActor: + @ray.method(tensor_transport="gloo") + def save(self, data: torch.Tensor): + # Save the tensor to the actor's local state. + self.data = data + return data + + def receive(self, data: torch.Tensor): + return data + + def increment_saved(self): + ray.experimental.wait_tensor_freed(self.data) + # Write to the saved tensor. + self.data += 1 + return self.data + + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + medium_tensor = torch.randn((500, 500)) + sender, receiver = actors + ref = sender.save.remote(medium_tensor) + # Sender writes to the GPU object while Ray sends the object to a receiver + # task in the background. + tensor1 = sender.increment_saved.remote() + tensor2 = receiver.receive.remote(ref) + + # The sender task should not have returned yet because the ObjectRef is + # still in scope. + with pytest.raises(ray.exceptions.GetTimeoutError): + ray.get(tensor1, timeout=1) + + del ref + # Check that Ray completed the transfer of the original tensor before the + # sender writes to it. + assert torch.allclose(ray.get(tensor1), medium_tensor + 1) + assert torch.allclose(ray.get(tensor2), medium_tensor) + + +def test_wait_tensor_freed(ray_start_regular): + """Unit test for ray.experimental.wait_tensor_freed. Check that the call + returns when the tensor has been freed from the GPU object store.""" + gpu_object_store = ray.worker.global_worker.gpu_object_manager.gpu_object_store + obj_id = "random_id" + tensor = torch.randn((1,)) + gpu_object_store.add_object(obj_id, [tensor], is_primary=True) + + assert gpu_object_store.has_object(obj_id) + with pytest.raises(TimeoutError): + ray.experimental.wait_tensor_freed(tensor, timeout=1) + assert gpu_object_store.has_object(obj_id) + + # Simulate garbage collection in a background thread. + def gc(): + time.sleep(0.1) + gpu_object_store.pop_object(obj_id) + + gc_thread = threading.Thread(target=gc) + gc_thread.start() + # Now the wait_tensor_freed call should be able to return. + ray.experimental.wait_tensor_freed(tensor) + gc_thread.join() + assert not gpu_object_store.has_object(obj_id) + + +def test_wait_tensor_freed_double_tensor(ray_start_regular): + """Unit test for ray.experimental.wait_tensor_freed when multiple objects + contain the same tensor.""" + gpu_object_store = ray.worker.global_worker.gpu_object_manager.gpu_object_store + obj_id1 = "random_id1" + obj_id2 = "random_id2" + tensor = torch.randn((1,)) + gpu_object_store.add_object(obj_id1, [tensor], is_primary=True) + gpu_object_store.add_object(obj_id2, [tensor], is_primary=True) + + assert gpu_object_store.has_object(obj_id1) + assert gpu_object_store.has_object(obj_id2) + with pytest.raises(TimeoutError): + ray.experimental.wait_tensor_freed(tensor, timeout=1) + assert gpu_object_store.has_object(obj_id1) + assert gpu_object_store.has_object(obj_id2) + + # Simulate garbage collection in a background thread. + def gc(obj_id): + time.sleep(0.1) + gpu_object_store.pop_object(obj_id) + + # Free one object. Tensor should still be stored. + gc_thread = threading.Thread(target=gc, args=(obj_id1,)) + gc_thread.start() + with pytest.raises(TimeoutError): + ray.experimental.wait_tensor_freed(tensor, timeout=1) + gc_thread.join() + assert not gpu_object_store.has_object(obj_id1) + + # Free the other object. Now the wait_tensor_freed call should be able to + # return. + gc_thread = threading.Thread(target=gc, args=(obj_id2,)) + gc_thread.start() + ray.experimental.wait_tensor_freed(tensor) + gc_thread.join() + assert not gpu_object_store.has_object(obj_id2) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From fb6d2b9ec1c7849082485489d1c72afdaef45adb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 11:02:48 -0700 Subject: [PATCH 0694/1566] [ci] add rayci build id tags for release test images (#55605) in addition to current tags. first step to migrate to use rayci build id tags to stop release test jobs from cross-talking to each other Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/docker_container.py | 15 ++++--- ci/ray_ci/test_anyscale_docker_container.py | 47 +++++++++++++-------- ci/ray_ci/test_base.py | 2 +- ci/ray_ci/test_ray_docker_container.py | 20 +++++++-- 4 files changed, 57 insertions(+), 27 deletions(-) diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 73a6f3d2879c..9544cef62167 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -82,24 +82,29 @@ def _get_image_version_tags(self, external: bool) -> List[str]: external: If True, return the external image tags. If False, return the internal image tags. """ - branch = os.environ.get("BUILDKITE_BRANCH") + branch = os.environ.get("BUILDKITE_BRANCH", "") sha_tag = os.environ["BUILDKITE_COMMIT"][:6] + rayci_build_id = os.environ["RAYCI_BUILD_ID"] pr = os.environ.get("BUILDKITE_PULL_REQUEST", "false") formatted_date = datetime.now().strftime("%y%m%d") if branch == "master": if external and os.environ.get("RAYCI_SCHEDULE") == "nightly": return [f"nightly.{formatted_date}.{sha_tag}", "nightly"] - return [sha_tag] + return [sha_tag, rayci_build_id] if branch and branch.startswith("releases/"): release_name = branch[len("releases/") :] - return [f"{release_name}.{sha_tag}"] + release_tag = f"{release_name}.{sha_tag}" + if external: + # Avoid saving build ID ones when saving it on public registries. + return [release_tag] + return [release_tag, rayci_build_id] if pr != "false": - return [f"pr-{pr}.{sha_tag}"] + return [f"pr-{pr}.{sha_tag}", rayci_build_id] - return [sha_tag] + return [sha_tag, rayci_build_id] def _get_canonical_tag(self) -> str: # The canonical tag is the first tag in the list of tags. The list of tag is diff --git a/ci/ray_ci/test_anyscale_docker_container.py b/ci/ray_ci/test_anyscale_docker_container.py index 777a98447d6f..52b275ddafb8 100644 --- a/ci/ray_ci/test_anyscale_docker_container.py +++ b/ci/ray_ci/test_anyscale_docker_container.py @@ -32,26 +32,37 @@ def _mock_run_script(input: List[str]) -> None: aws_ecr = _DOCKER_ECR_REPO.split("/")[0] aws_prj = f"{aws_ecr}/anyscale/ray-ml" gcp_prj = f"{_DOCKER_GCP_REGISTRY}/anyscale/ray-ml" - assert cmd == [ - "./ci/build/build-anyscale-docker.sh " - f"rayproject/ray-ml:123456-{pv}-cu121 " - f"{aws_prj}:123456-{pv}-cu121 requirements_ml_byod_{v}.txt {aws_ecr}", - "./release/gcloud_docker_login.sh release/aws2gce_iam.json", - "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", - f"docker tag {aws_prj}:123456-{pv}-cu121 {aws_prj}:123456-{pv}-cu121", - f"docker push {aws_prj}:123456-{pv}-cu121", - f"docker tag {aws_prj}:123456-{pv}-cu121 {gcp_prj}:123456-{pv}-cu121", - f"docker push {gcp_prj}:123456-{pv}-cu121", - f"docker tag {aws_prj}:123456-{pv}-cu121 {aws_prj}:123456-{pv}-gpu", - f"docker push {aws_prj}:123456-{pv}-gpu", - f"docker tag {aws_prj}:123456-{pv}-cu121 {gcp_prj}:123456-{pv}-gpu", - f"docker push {gcp_prj}:123456-{pv}-gpu", - f"docker tag {aws_prj}:123456-{pv}-cu121 {aws_prj}:123456-{pv}", - f"docker push {aws_prj}:123456-{pv}", - f"docker tag {aws_prj}:123456-{pv}-cu121 {gcp_prj}:123456-{pv}", - f"docker push {gcp_prj}:123456-{pv}", + + tags_want = [ + f"123456-{pv}-cu121", + f"123456-{pv}-gpu", + f"123456-{pv}", + f"a1b2c3d4-{pv}-cu121", + f"a1b2c3d4-{pv}-gpu", + f"a1b2c3d4-{pv}", ] + push_cmds_want = [] + for tag in tags_want: + push_cmds_want += [ + f"docker tag {aws_prj}:123456-{pv}-cu121 {aws_prj}:{tag}", + f"docker push {aws_prj}:{tag}", + f"docker tag {aws_prj}:123456-{pv}-cu121 {gcp_prj}:{tag}", + f"docker push {gcp_prj}:{tag}", + ] + + assert ( + cmd + == [ + "./ci/build/build-anyscale-docker.sh " + f"rayproject/ray-ml:123456-{pv}-cu121 " + f"{aws_prj}:123456-{pv}-cu121 requirements_ml_byod_{v}.txt {aws_ecr}", + "./release/gcloud_docker_login.sh release/aws2gce_iam.json", + "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", + ] + + push_cmds_want + ) + def test_requirements_file(self) -> None: container = AnyscaleDockerContainer("3.11", "cu12.1.1-cudnn8", "ray-ml") assert container._get_requirement_file() == "requirements_ml_byod_3.11.txt" diff --git a/ci/ray_ci/test_base.py b/ci/ray_ci/test_base.py index d0cbc4c253bc..ec237d64e418 100644 --- a/ci/ray_ci/test_base.py +++ b/ci/ray_ci/test_base.py @@ -14,7 +14,7 @@ def setUp(self) -> None: os.environ, { "RAYCI_CHECKOUT_DIR": "/ray", - "RAYCI_BUILD_ID": "123", + "RAYCI_BUILD_ID": "a1b2c3d4", "RAYCI_WORK_REPO": "rayproject/citemp", "BUILDKITE_COMMIT": "123456", "BUILDKITE_BRANCH": "master", diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index ce2bc3021e58..e60528207c9b 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -29,7 +29,7 @@ def _mock_run_script(input: List[str]) -> None: side_effect=_mock_run_script, ): sha = "123456" - ray_ci_build_id = "123" + ray_ci_build_id = "a1b2c3d4" cuda = "cu12.4.1-cudnn" # Run with default python version and ray image @@ -99,7 +99,7 @@ def _mock_run_script(input: List[str]) -> None: ): formatted_date = datetime.now().strftime("%y%m%d") sha = "123456" - ray_ci_build_id = "123" + ray_ci_build_id = "a1b2c3d4" # Run with default python version and ray image self.cmds = [] @@ -195,7 +195,7 @@ def _mock_run_script(input: List[str]) -> None: os.environ, {"RAYCI_SCHEDULE": "daytime"} ): sha = "123456" - ray_ci_build_id = "123" + ray_ci_build_id = "a1b2c3d4" cuda = "cu11.8.0-cudnn8" # Run with default python version and ray image @@ -280,6 +280,7 @@ def test_get_image_tags(self) -> None: # bulk logic of _get_image_tags is tested in its callers (get_image_name and # get_canonical_tag), so we only test the basic cases here sha = "123456" + rayci_build_id = "a1b2c3d4" v = DEFAULT_PYTHON_VERSION pv = self.get_python_version(v) container = RayDockerContainer(v, "cpu", "ray") @@ -290,6 +291,10 @@ def test_get_image_tags(self) -> None: f"{sha}-cpu", f"{sha}-{pv}", f"{sha}", + f"{rayci_build_id}-{pv}-cpu", + f"{rayci_build_id}-cpu", + f"{rayci_build_id}-{pv}", + f"{rayci_build_id}", ] with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): assert container._get_image_tags(external=True) == [ @@ -305,6 +310,7 @@ def test_get_image_tags(self) -> None: def test_get_image_name(self) -> None: sha = "123456" + rayci_build_id = "a1b2c3d4" v = DEFAULT_PYTHON_VERSION pv = self.get_python_version(v) formatted_date = datetime.now().strftime("%y%m%d") @@ -315,6 +321,10 @@ def test_get_image_name(self) -> None: f"rayproject/ray:{sha}-cpu", f"rayproject/ray:{sha}-{pv}", f"rayproject/ray:{sha}", + f"rayproject/ray:{rayci_build_id}-{pv}-cpu", + f"rayproject/ray:{rayci_build_id}-cpu", + f"rayproject/ray:{rayci_build_id}-{pv}", + f"rayproject/ray:{rayci_build_id}", ] with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): @@ -335,6 +345,7 @@ def test_get_image_name(self) -> None: with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "daytime"}): assert container._get_image_names() == [ f"rayproject/ray-llm:{sha}-{pv}-cu124", + f"rayproject/ray-llm:{rayci_build_id}-{pv}-cu124", ] with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): @@ -351,6 +362,9 @@ def test_get_image_name(self) -> None: f"rayproject/ray-ml:{sha}-{pv}-cu121", f"rayproject/ray-ml:{sha}-{pv}-gpu", f"rayproject/ray-ml:{sha}-{pv}", + f"rayproject/ray-ml:{rayci_build_id}-{pv}-cu121", + f"rayproject/ray-ml:{rayci_build_id}-{pv}-gpu", + f"rayproject/ray-ml:{rayci_build_id}-{pv}", ] with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): From 99ba162a6973f77ffc888ce71e233c919c1659e1 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Thu, 14 Aug 2025 11:05:39 -0700 Subject: [PATCH 0695/1566] [Core] Add Logic to Check Label Selector in PG Scheduling (#55599) Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- python/ray/tests/test_bundle_label_selector.py | 18 ++++++++++-------- src/ray/raylet/scheduling/policy/scorer.cc | 6 ++++++ 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/python/ray/tests/test_bundle_label_selector.py b/python/ray/tests/test_bundle_label_selector.py index 890fa2845dcc..8a029dbf03c8 100644 --- a/python/ray/tests/test_bundle_label_selector.py +++ b/python/ray/tests/test_bundle_label_selector.py @@ -11,22 +11,26 @@ def test_bundle_label_selector_with_repeated_labels(ray_start_cluster): cluster = ray_start_cluster - num_nodes = 2 - for _ in range(num_nodes): - cluster.add_node(num_cpus=4, labels={"ray.io/accelerator-type": "A100"}) + cluster.add_node(num_cpus=4, labels={"ray.io/accelerator-type": "A100"}) + node = cluster.add_node(num_cpus=4, labels={"ray.io/accelerator-type": "TPU"}) ray.init(address=cluster.address) bundles = [{"CPU": 1}, {"CPU": 1}] - label_selector = [{"ray.io/accelerator-type": "A100"}] * 2 + label_selector = [{"ray.io/accelerator-type": "TPU"}] * 2 placement_group = ray.util.placement_group( name="repeated_labels_pg", - strategy="PACK", bundles=bundles, bundle_label_selector=label_selector, ) ray.get(placement_group.ready()) + bundles_to_node_id = ray.util.placement_group_table()[placement_group.id.hex()][ + "bundles_to_node_id" + ] + assert bundles_to_node_id[0] == node.node_id + assert bundles_to_node_id[1] == node.node_id + placement_group_assert_no_leak([placement_group]) @@ -42,7 +46,6 @@ def test_unschedulable_bundle_label_selector(ray_start_cluster): placement_group = ray.util.placement_group( name="unschedulable_labels_pg", - strategy="STRICT_PACK", bundles=bundles, bundle_label_selector=label_selector, ) @@ -53,7 +56,7 @@ def test_unschedulable_bundle_label_selector(ray_start_cluster): state = ray.util.placement_group_table()[placement_group.id.hex()]["stats"][ "scheduling_state" ] - assert state == "INFEASIBLE" + assert state == "NO_RESOURCES" def test_bundle_label_selectors_match_bundle_resources(ray_start_cluster): @@ -89,7 +92,6 @@ def test_bundle_label_selectors_match_bundle_resources(ray_start_cluster): pg = ray.util.placement_group( name="label_selectors_match_resources", - strategy="SPREAD", bundles=bundles, bundle_label_selector=bundle_label_selectors, ) diff --git a/src/ray/raylet/scheduling/policy/scorer.cc b/src/ray/raylet/scheduling/policy/scorer.cc index b8c67f3d920d..6bb07b8007ac 100644 --- a/src/ray/raylet/scheduling/policy/scorer.cc +++ b/src/ray/raylet/scheduling/policy/scorer.cc @@ -21,6 +21,12 @@ namespace raylet_scheduling_policy { double LeastResourceScorer::Score(const ResourceRequest &required_resources, const NodeResources &node_resources) { + // Check if the node has required labels before scoring on the resources. + const auto &label_selector = required_resources.GetLabelSelector(); + if (!node_resources.HasRequiredLabels(label_selector)) { + return -1.; + } + // In GCS-based actor scheduling, the `NodeResources` are only acquired or released by // actor scheduling, instead of being updated by resource reports from raylets. So we // have to subtract normal task resources (if exist) from the current available From 02a4db544db57e797bed64109fec11fe1acf86df Mon Sep 17 00:00:00 2001 From: coqian Date: Thu, 14 Aug 2025 11:06:05 -0700 Subject: [PATCH 0696/1566] [Data] Update the export API to refresh the dataset and operator states (#55355) ## Why are these changes needed? This PR is a revert of [#55333](https://github.com/ray-project/ray/pull/55333) and resolves conflict by [#55163](https://github.com/ray-project/ray/pull/55163) Original description: Some frequently used metadata fields are missing in the export API schema: - For both dataset and operator: state, execution start and end time These fields are important for us to observe the lifecycle of the datasets and operators, and can be used to improve the accuracy of reported metrics, such as throughput, which relies on the duration. Summary of change: - Add state, execution start and end time at the export API schema - Add a new state enum `PENDING` for dataset and operator, to represent the state when they are not running yet. - Refresh the metadata when ever the state of dataset/operator gets updated. And the event will always contains the latest snapshot of all the metadata. ## Related issue number ## Checks - [X] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [X] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [X] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: cong.qian Signed-off-by: Douglas Strodtman --- .../data/_internal/execution/dataset_state.py | 22 ++++ .../_internal/execution/streaming_executor.py | 7 +- .../ray/data/_internal/metadata_exporter.py | 24 +++- python/ray/data/_internal/stats.py | 114 +++++++++++++----- python/ray/data/tests/test_state_export.py | 105 ++++++++++++++++ .../protobuf/export_dataset_metadata.proto | 36 +++++- 6 files changed, 276 insertions(+), 32 deletions(-) create mode 100644 python/ray/data/_internal/execution/dataset_state.py diff --git a/python/ray/data/_internal/execution/dataset_state.py b/python/ray/data/_internal/execution/dataset_state.py new file mode 100644 index 000000000000..702963234baf --- /dev/null +++ b/python/ray/data/_internal/execution/dataset_state.py @@ -0,0 +1,22 @@ +import enum + + +class DatasetState(enum.IntEnum): + """Enum representing the possible states of a dataset during execution.""" + + UNKNOWN = 0 + RUNNING = 1 + FINISHED = 2 + FAILED = 3 + PENDING = 4 + + def __str__(self): + return self.name + + @classmethod + def from_string(cls, text): + """Get enum by name.""" + try: + return cls[text] # This uses the name to lookup the enum + except KeyError: + return cls.UNKNOWN diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index 6806c69bdd9d..4e2dfdd9aa6a 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -9,6 +9,7 @@ BackpressurePolicy, get_backpressure_policies, ) +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.execution_callback import get_execution_callbacks from ray.data._internal.execution.interfaces import ( ExecutionResources, @@ -37,7 +38,7 @@ ) from ray.data._internal.metadata_exporter import Topology as TopologyMetadata from ray.data._internal.progress_bar import ProgressBar -from ray.data._internal.stats import DatasetState, DatasetStats, StatsManager, Timer +from ray.data._internal.stats import DatasetStats, StatsManager, Timer from ray.data.context import OK_PREFIX, WARN_PREFIX, DataContext from ray.util.metrics import Gauge @@ -548,7 +549,9 @@ def _get_state_dict(self, state): "progress": last_state.num_completed_tasks, "total": last_op.num_outputs_total(), "total_rows": last_op.num_output_rows_total(), - "end_time": time.time() if state != DatasetState.RUNNING.name else None, + "end_time": time.time() + if state in (DatasetState.FINISHED.name, DatasetState.FAILED.name) + else None, "operators": { f"{self._get_operator_id(op, i)}": { "name": op.name, diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index 5ff8242cfc5c..17150c5b006c 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -12,6 +12,7 @@ check_export_api_enabled, get_export_event_logger, ) +from ray.data._internal.execution.dataset_state import DatasetState from ray.data.context import DataContext if TYPE_CHECKING: @@ -59,11 +60,17 @@ class Operator: sub_stages: List of sub-stages contained within this operator. args: User-specified arguments associated with the operator, which may include configuration settings, options, or other relevant data for the operator. + execution_start_time: The timestamp when the operator execution begins. + execution_end_time: The timestamp when the operator execution ends. + state: The state of the operator. """ name: str id: str uuid: str + execution_start_time: Optional[float] + execution_end_time: Optional[float] + state: str input_dependencies: List[str] = field(default_factory=list) sub_stages: List[SubStage] = field(default_factory=list) args: Dict[str, Any] = field(default_factory=dict) @@ -107,6 +114,9 @@ def create_topology_metadata( op_to_id[dep] for dep in op.input_dependencies if dep in op_to_id ], args=sanitize_for_struct(op._get_logical_args()), + execution_start_time=None, + execution_end_time=None, + state=DatasetState.PENDING.name, ) # Add sub-stages if they exist @@ -130,8 +140,11 @@ class DatasetMetadata: job_id: The ID of the job running this dataset. topology: The structure of the dataset's operator DAG. dataset_id: The unique ID of the dataset. - start_time: The timestamp when the dataset execution started. + start_time: The timestamp when the dataset is registered. data_context: The DataContext attached to the dataset. + execution_start_time: The timestamp when the dataset execution starts. + execution_end_time: The timestamp when the dataset execution ends. + state: The state of the dataset. """ job_id: str @@ -139,6 +152,9 @@ class DatasetMetadata: dataset_id: str start_time: float data_context: DataContext + execution_start_time: Optional[float] + execution_end_time: Optional[float] + state: str def _add_ellipsis(s: str, truncate_length: int) -> str: @@ -206,6 +222,9 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: id=op.id, uuid=op.uuid, args=args, + execution_start_time=op.execution_start_time, + execution_end_time=op.execution_end_time, + state=ProtoOperator.OperatorState.Value(op.state), ) # Add input dependencies @@ -231,6 +250,9 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: job_id=dataset_metadata.job_id, start_time=dataset_metadata.start_time, data_context=data_context, + execution_start_time=dataset_metadata.execution_start_time, + execution_end_time=dataset_metadata.execution_end_time, + state=ProtoDatasetMetadata.DatasetState.Value(dataset_metadata.state), ) proto_dataset_metadata.topology.CopyFrom(proto_topology) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 869aa49b84ca..d00b45c89b8a 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -1,5 +1,5 @@ import collections -import enum +import copy import logging import threading import time @@ -14,6 +14,7 @@ import ray from ray.actor import ActorHandle from ray.data._internal.block_list import BlockList +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.interfaces.op_runtime_metrics import ( NODE_UNKNOWN, MetricsGroup, @@ -21,7 +22,11 @@ NodeMetrics, OpRuntimeMetrics, ) -from ray.data._internal.metadata_exporter import Topology, get_dataset_metadata_exporter +from ray.data._internal.metadata_exporter import ( + DatasetMetadata, + Topology, + get_dataset_metadata_exporter, +) from ray.data._internal.util import capfirst from ray.data.block import BlockStats from ray.data.context import DataContext @@ -170,6 +175,7 @@ def __init__(self, max_stats=1000): # Initialize the metadata exporter self._metadata_exporter = get_dataset_metadata_exporter() + self.dataset_metadatas: Dict[str, DatasetMetadata] = {} # Ray Data dashboard metrics # Everything is a gauge because we need to reset all of @@ -477,7 +483,7 @@ def register_dataset( start_time = time.time() self.datasets[dataset_tag] = { "job_id": job_id, - "state": DatasetState.RUNNING.name, + "state": DatasetState.PENDING.name, "progress": 0, "total": 0, "total_rows": 0, @@ -485,7 +491,7 @@ def register_dataset( "end_time": None, "operators": { operator: { - "state": DatasetState.RUNNING.name, + "state": DatasetState.PENDING.name, "progress": 0, "total": 0, "queued_blocks": 0, @@ -494,16 +500,19 @@ def register_dataset( }, } if self._metadata_exporter is not None: - from ray.data._internal.metadata_exporter import DatasetMetadata - - dataset_metadata = DatasetMetadata( + self.dataset_metadatas[dataset_tag] = DatasetMetadata( job_id=job_id, topology=topology, dataset_id=dataset_tag, start_time=start_time, data_context=data_context, + execution_start_time=None, + execution_end_time=None, + state=DatasetState.PENDING.name, + ) + self._metadata_exporter.export_dataset_metadata( + self.dataset_metadatas[dataset_tag] ) - self._metadata_exporter.export_dataset_metadata(dataset_metadata) def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): self.datasets[dataset_tag].update(state) @@ -527,8 +536,10 @@ def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): state_string = state.get("state", DatasetState.UNKNOWN.name) state_enum = DatasetState.from_string(state_string) self.data_dataset_state.set(state_enum.value, dataset_tags) + self.update_dataset_metadata_state(dataset_tag, state_string) # Update operator-level metrics + operator_states: Dict[str, str] = {} for operator, op_state in state.get("operators", {}).items(): operator_tags = { "dataset": dataset_tag, @@ -548,12 +559,79 @@ def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): state_string = op_state.get("state", DatasetState.UNKNOWN.name) state_enum = DatasetState.from_string(state_string) self.data_operator_state.set(state_enum.value, operator_tags) + operator_states[operator] = state_string + + self.update_dataset_metadata_operator_states(dataset_tag, operator_states) def get_datasets(self, job_id: Optional[str] = None): if not job_id: return self.datasets return {k: v for k, v in self.datasets.items() if v["job_id"] == job_id} + def update_dataset_metadata_state(self, dataset_id: str, new_state: str): + if dataset_id not in self.dataset_metadatas: + return + update_time = time.time() + dataset_metadata = self.dataset_metadatas[dataset_id] + if dataset_metadata.state == new_state: + return + updated_dataset_metadata = copy.deepcopy(dataset_metadata) + updated_dataset_metadata.state = new_state + if new_state == DatasetState.RUNNING.name: + updated_dataset_metadata.execution_start_time = update_time + elif new_state in (DatasetState.FINISHED.name, DatasetState.FAILED.name): + updated_dataset_metadata.execution_end_time = update_time + # Update metadata of running operators + for operator in updated_dataset_metadata.topology.operators: + if operator.state == DatasetState.RUNNING.name: + operator.state = new_state + operator.execution_end_time = update_time + + self.dataset_metadatas[dataset_id] = updated_dataset_metadata + self._metadata_exporter.export_dataset_metadata(updated_dataset_metadata) + + def update_dataset_metadata_operator_states( + self, dataset_id: str, operator_states: Dict[str, str] + ): + if dataset_id not in self.dataset_metadatas: + return + + dataset_metadata = self.dataset_metadatas[dataset_id] + update_needed = False + for operator in dataset_metadata.topology.operators: + if ( + operator.id in operator_states + and operator.state != operator_states[operator.id] + ): + update_needed = True + break + + if not update_needed: + return + + updated_dataset_metadata = copy.deepcopy(dataset_metadata) + update_time = time.time() + for operator in updated_dataset_metadata.topology.operators: + if operator.id in operator_states: + new_state = operator_states[operator.id] + if operator.state == new_state: + continue + operator.state = new_state + if new_state == DatasetState.RUNNING.name: + operator.execution_start_time = update_time + elif new_state in ( + DatasetState.FINISHED.name, + DatasetState.FAILED.name, + ): + operator.execution_end_time = update_time + # Handle outlier case for InputDataBuffer, which is marked as finished immediately and does not have a RUNNING state. + # Set the execution time the same as its end time + if not operator.execution_start_time: + operator.execution_start_time = update_time + + self.dataset_metadatas[dataset_id] = updated_dataset_metadata + self._metadata_exporter.export_dataset_metadata(updated_dataset_metadata) + def _create_tags( self, dataset_tag: str, @@ -823,26 +901,6 @@ def get_dataset_id_from_stats_actor(self) -> str: StatsManager = _StatsManager() -class DatasetState(enum.IntEnum): - """Enum representing the possible states of a dataset during execution.""" - - UNKNOWN = 0 - RUNNING = 1 - FINISHED = 2 - FAILED = 3 - - def __str__(self): - return self.name - - @classmethod - def from_string(cls, text): - """Get enum by name.""" - try: - return cls[text] # This uses the name to lookup the enum - except KeyError: - return cls.UNKNOWN - - class DatasetStats: """Holds the execution times for a given Dataset. diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index cfa815b32294..570927446d55 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -7,6 +7,7 @@ import ray from ray.data import DataContext +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.metadata_exporter import ( UNKNOWN, @@ -147,6 +148,9 @@ def dummy_dataset_topology(): uuid="uuid_0", input_dependencies=[], sub_stages=[], + execution_start_time=1.0, + execution_end_time=1.0, + state="FINISHED", args=sanitize_for_struct(dummy_operator._get_args()), ), Operator( @@ -155,6 +159,9 @@ def dummy_dataset_topology(): uuid="uuid_1", input_dependencies=["Input_0"], sub_stages=[], + execution_start_time=0.0, + execution_end_time=0.0, + state="RUNNING", args=sanitize_for_struct(dummy_operator._get_args()), ), ], @@ -244,6 +251,9 @@ def dummy_dataset_topology_expected_output(): }, "input_dependencies": [], "sub_stages": [], + "execution_start_time": 1.0, + "execution_end_time": 1.0, + "state": "FINISHED", }, { "name": "ReadRange->Map()->Filter()", @@ -323,6 +333,9 @@ def dummy_dataset_topology_expected_output(): }, }, "sub_stages": [], + "execution_start_time": 0.0, + "execution_end_time": 0.0, + "state": "RUNNING", }, ] } @@ -447,6 +460,9 @@ def test_export_multiple_datasets( uuid="second_uuid_0", input_dependencies=[], sub_stages=[], + execution_start_time=1.0, + execution_end_time=1.0, + state="FINISHED", ), Operator( name="ReadRange->Map()", @@ -454,6 +470,9 @@ def test_export_multiple_datasets( uuid="second_uuid_1", input_dependencies=["Input_0"], sub_stages=[], + execution_start_time=2.0, + execution_end_time=0.0, + state="RUNNING", ), ], ) @@ -613,6 +632,92 @@ def test_sanitize_for_struct(input_obj, expected_output, truncate_length): assert result == expected_output, f"Expected {expected_output}, got {result}" +def test_update_dataset_metadata_state( + ray_start_cluster_with_export_api_write, dummy_dataset_topology +): + """Test dataset state update at the export API""" + stats_actor = _get_or_create_stats_actor() + # Register dataset + ray.get( + stats_actor.register_dataset.remote( + job_id=STUB_JOB_ID, + dataset_tag=STUB_DATASET_ID, + operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], + topology=dummy_dataset_topology, + data_context=DataContext.get_current(), + ) + ) + # Check that export files were created as expected + data = _get_exported_data() + assert len(data) == 1 + assert data[0]["event_data"]["state"] == DatasetState.PENDING.name + + # Test update state to RUNNING + ray.get( + stats_actor.update_dataset_metadata_state.remote( + dataset_id=STUB_DATASET_ID, new_state=DatasetState.RUNNING.name + ) + ) + data = _get_exported_data() + assert len(data) == 2 + assert data[1]["event_data"]["state"] == DatasetState.RUNNING.name + assert data[1]["event_data"]["execution_start_time"] > 0 + + # Test update to FINISHED + ray.get( + stats_actor.update_dataset_metadata_state.remote( + dataset_id=STUB_DATASET_ID, new_state=DatasetState.FINISHED.name + ) + ) + data = _get_exported_data() + assert len(data) == 3 + assert data[2]["event_data"]["state"] == DatasetState.FINISHED.name + assert data[2]["event_data"]["execution_end_time"] > 0 + assert ( + data[2]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.FINISHED.name + ) + assert data[2]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 + + +def test_update_dataset_metadata_operator_states( + ray_start_cluster_with_export_api_write, dummy_dataset_topology +): + stats_actor = _get_or_create_stats_actor() + # Register dataset + ray.get( + stats_actor.register_dataset.remote( + dataset_tag=STUB_DATASET_ID, + operator_tags=["Input_0", "ReadRange->Map()->Filter()_1"], + topology=dummy_dataset_topology, + job_id=STUB_JOB_ID, + data_context=DataContext.get_current(), + ) + ) + data = _get_exported_data() + assert len(data) == 1 + assert ( + data[0]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.RUNNING.name + ) + + # Test update to FINISHED + operator_id = "ReadRange->Map()->Filter()_1" + ray.get( + stats_actor.update_dataset_metadata_operator_states.remote( + dataset_id=STUB_DATASET_ID, + operator_states={operator_id: DatasetState.FINISHED.name}, + ) + ) + data = _get_exported_data() + assert len(data) == 2 + assert ( + data[1]["event_data"]["topology"]["operators"][1]["state"] + == DatasetState.FINISHED.name + ) + assert data[1]["event_data"]["topology"]["operators"][1]["execution_end_time"] > 0 + + if __name__ == "__main__": import sys diff --git a/src/ray/protobuf/export_dataset_metadata.proto b/src/ray/protobuf/export_dataset_metadata.proto index ce78d1458b8d..a508b5c3d186 100644 --- a/src/ray/protobuf/export_dataset_metadata.proto +++ b/src/ray/protobuf/export_dataset_metadata.proto @@ -30,6 +30,14 @@ message SubStage { // Represents a data processing operator in the DAG message Operator { + enum OperatorState { + UNKNOWN = 0; + RUNNING = 1; + FINISHED = 2; + FAILED = 3; + PENDING = 4; + } + // Name of the operator string name = 1; @@ -53,6 +61,15 @@ message Operator { // can be found in `_get_logical_args`, and is used to help understand how a // user's arguments lead to a dataset's state execution google.protobuf.Struct args = 6; + + // The timestamp when execution starts (in seconds since epoch) + double execution_start_time = 7; + + // The timestamp when execution ends (in seconds since epoch) + double execution_end_time = 8; + + // The state of the operator + OperatorState state = 9; } // Represents the complete structure of the operator DAG @@ -63,6 +80,14 @@ message Topology { // Top-level message containing full metadata about a Ray Data execution message ExportDatasetMetadata { + enum DatasetState { + UNKNOWN = 0; + RUNNING = 1; + FINISHED = 2; + FAILED = 3; + PENDING = 4; + } + // The operator DAG structure Topology topology = 1; @@ -72,9 +97,18 @@ message ExportDatasetMetadata { // The Ray Job ID string job_id = 3; - // The timestamp when execution started (in seconds since epoch) + // The timestamp when dataset is registered (in seconds since epoch) double start_time = 4; // The data context attached to the dataset. google.protobuf.Struct data_context = 5; + + // The timestamp when execution starts (in seconds since epoch) + double execution_start_time = 6; + + // The timestamp when execution ends (in seconds since epoch) + double execution_end_time = 7; + + // The state of the dataset + DatasetState state = 8; } From e2ffa3bc744b07081bef7543c601c8d0d7058088 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Thu, 14 Aug 2025 11:46:59 -0700 Subject: [PATCH 0697/1566] [serve.llm][docs] Documentation for prefix cache-aware router (#55218) Signed-off-by: Seiji Eicher Signed-off-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../prefix_aware_example.py | 90 ++++++++++ doc/source/serve/llm/index.md | 3 +- .../serve/llm/prefix-aware-request-router.md | 157 ++++++++++++++++++ .../prefix_aware/prefix_aware_router.py | 12 ++ 4 files changed, 260 insertions(+), 2 deletions(-) create mode 100644 doc/source/llm/doc_code/serve/prefix_aware_router/prefix_aware_example.py create mode 100644 doc/source/serve/llm/prefix-aware-request-router.md diff --git a/doc/source/llm/doc_code/serve/prefix_aware_router/prefix_aware_example.py b/doc/source/llm/doc_code/serve/prefix_aware_router/prefix_aware_example.py new file mode 100644 index 000000000000..bb6bf734fac2 --- /dev/null +++ b/doc/source/llm/doc_code/serve/prefix_aware_router/prefix_aware_example.py @@ -0,0 +1,90 @@ +""" +This file serves as a documentation example and CI test. + +Structure: +1. Monkeypatch setup: Ensures serve.run is non-blocking and removes accelerator requirements for CI testing. +2. Docs example (between __prefix_aware_example_start/end__): Embedded in Sphinx docs via literalinclude. +3. Test validation (deployment status polling + cleanup) +""" + +import time +from ray import serve +from ray.serve.schema import ApplicationStatus +from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve import llm + +_original_serve_run = serve.run +_original_build_openai_app = llm.build_openai_app + + +def _non_blocking_serve_run(app, **kwargs): + """Forces blocking=False for testing""" + kwargs["blocking"] = False + return _original_serve_run(app, **kwargs) + + +def _testing_build_openai_app(llm_serving_args): + """Removes accelerator requirements for testing""" + for config in llm_serving_args["llm_configs"]: + config.accelerator_type = None + + return _original_build_openai_app(llm_serving_args) + + +serve.run = _non_blocking_serve_run +llm.build_openai_app = _testing_build_openai_app + +# __prefix_aware_example_start__ +from ray import serve +from ray.serve.llm import LLMConfig, build_openai_app +from ray.serve.llm.request_router import PrefixCacheAffinityRouter + +llm_config = LLMConfig( + model_loading_config={ + "model_id": "qwen-0.5b", + "model_source": "Qwen/Qwen2.5-0.5B-Instruct", + }, + deployment_config={ + "autoscaling_config": { + "min_replicas": 4, + "max_replicas": 4, + }, + "request_router_config": { + "request_router_class": PrefixCacheAffinityRouter, + "request_router_kwargs": { + "imbalanced_threshold": 5, # More aggressive load balancing + "match_rate_threshold": 0.15, # Require 15% match rate + "do_eviction": True, # Enable memory management + "eviction_threshold_chars": 500_000, + "eviction_target_chars": 400_000, + "eviction_interval_secs": 30, + }, + }, + }, + runtime_env={"env_vars": {"VLLM_USE_V1": "1"}}, +) + +app = build_openai_app({"llm_configs": [llm_config]}) +serve.run(app, blocking=True) +# __prefix_aware_example_end__ + +status = ApplicationStatus.NOT_STARTED +timeout_seconds = 180 +start_time = time.time() + +while ( + status != ApplicationStatus.RUNNING and time.time() - start_time < timeout_seconds +): + status = serve.status().applications[SERVE_DEFAULT_APP_NAME].status + + if status in [ApplicationStatus.DEPLOY_FAILED, ApplicationStatus.UNHEALTHY]: + raise AssertionError(f"Deployment failed with status: {status}") + + time.sleep(1) + +if status != ApplicationStatus.RUNNING: + raise AssertionError( + f"Deployment failed to reach RUNNING status within {timeout_seconds}s. Current status: {status}" + ) + +serve.shutdown() diff --git a/doc/source/serve/llm/index.md b/doc/source/serve/llm/index.md index 358704b9d101..0cf2a27aa989 100644 --- a/doc/source/serve/llm/index.md +++ b/doc/source/serve/llm/index.md @@ -56,6 +56,5 @@ The LLMConfig class specifies model details such as: Quickstart Prefill/Decode Disaggregation +Cache-aware request routing ``` - - diff --git a/doc/source/serve/llm/prefix-aware-request-router.md b/doc/source/serve/llm/prefix-aware-request-router.md new file mode 100644 index 000000000000..d8a73e599fa7 --- /dev/null +++ b/doc/source/serve/llm/prefix-aware-request-router.md @@ -0,0 +1,157 @@ +(prefix-aware-request-router-guide)= +# `PrefixCacheAffinityRouter` for LLM inference optimization + +:::{warning} +This API is in alpha and may change before becoming stable. +::: + +LLM inference can benefit significantly from cache locality optimization. When one replica processes multiple prompts that share a prefix, the engine can reuse previously computed KV-cache entries, reducing computation overhead and improving response times. This technique is known as [Automatic Prefix Caching (APC)](https://docs.vllm.ai/en/stable/features/automatic_prefix_caching.html) in vLLM. The `PrefixCacheAffinityRouter` is designed specifically for this use case. + +This guide covers: +- Understanding the prefix cache-aware routing algorithm +- Building the components of a prefix-aware router +- Configuration parameters and their impact + +(prefix-aware-algorithm)= +## How Ray Serve LLM prefix cache-aware routing works + +The `PrefixCacheAffinityRouter` implements a multi-tier routing strategy that balances cache locality with load distribution: + +### 1. Load balance check +First, it evaluates whether the current load is balanced across replicas by comparing queue lengths. If the difference between the highest and lowest queue lengths is below the `imbalanced_threshold`, it proceeds with prefix cache-aware routing. + +### 2. Prefix matching strategy +When load is balanced, the router uses a prefix tree to find replicas that have previously processed similar input text: + +- **High Match Rate (≥10%)**: Routes to replicas with the highest prefix match rate for better cache hit rates +- **Low Match Rate (<10%)**: Falls back to replicas with the lowest prefix cache utilization to increase utilization +- **No Prefix Data**: Uses the default Power of Two Choices selection + +### 3. Imbalanced load fallback +When load is imbalanced (queue length difference exceeds threshold), the router prioritizes load balancing over cache locality and falls back to the standard Power of Two Choices algorithm. + +### Prefix tree management +The router maintains a distributed prefix tree actor that: +- Tracks input text prefixes processed by each replica +- Supports automatic eviction of old entries to manage memory usage +- Persists across router instances using Ray's detached actor pattern + +(building-prefix-aware-components)= +## Building prefix-aware router components + +This section breaks down the key components of `PrefixCacheAffinityRouter` and shows how they work together. For a more basic example, see {ref}`custom-request-router-guide`. + +### Base RequestRouter foundation + +Like all custom routers in Ray Serve, the `PrefixCacheAffinityRouter` extends the base [`RequestRouter`](../api/doc/ray.serve.request_router.RequestRouter.rst) class. The two core methods that define router behavior are: + +- **`choose_replicas()`**: The main routing logic that selects which replicas should handle a request +- **`on_request_routed()`**: A callback that updates router state after a request is successfully routed + +For a detailed explanation of these methods and their parameters, see the {ref}`simple-uniform-request-router` example in the custom request router guide. + +### 1. Load balance detection component + +The first component evaluates whether the current load is balanced across replicas: + +```{literalinclude} ../../../../python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +:start-after: __begin_load_balance_component__ +:end-before: __end_load_balance_component__ +:language: python +:caption: prefix_aware_router.py +``` + +This component prioritizes load balancing over cache locality when replicas become too imbalanced. + + +### 2. Prefix tree management component + +The prefix tree component is implemented as a detached Ray actor that manages prefix tracking across the Serve application. The actual tree structure uses a multi-tenant prefix tree (approximate radix tree). + +This distributed architecture allows the prefix information to persist across router restarts and be shared among multiple router instances. + +### 3. Prefix matching logic component + +The core prefix matching component implements the routing decision logic in the `_prefix_match_best_replicas` method. When load is balanced, it performs prefix matching to find the best replica: + +```{literalinclude} ../../../../python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +:start-after: __begin_prefix_match_component__ +:end-before: __end_prefix_match_component__ +:language: python +:caption: prefix_aware_router.py +``` + +This logic implements the three-tier strategy: +1. **High match rate**: Routes to replicas with the highest prefix match when `match_rate >= match_rate_threshold` +2. **Low match rate**: Falls back to replicas with smallest KV-cache usage when match rate is below threshold +3. **No match**: Fall back to default Power of Two Choices selection when `_prefix_match_best_replicas` returns to `choose_replicas`. + +### 4. Integration with Power of Two choices + +The prefix-aware router extends the proven Power of Two Choices algorithm, falling back to it when prefix-based routing would degenerate. `PrefixCacheAffinityRouter` integrates this component in the `choose_replicas` method: + +```{literalinclude} ../../../../python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +:start-after: __begin_pow2_router_base__ +:end-before: __end_pow2_router_base__ +:language: python +:caption: prefix_aware_router.py +``` + + +### 5. State management and callbacks + +The router uses the `on_request_routed()` callback to update the prefix tree with routing decisions: + +```{literalinclude} ../../../../python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +:start-after: __begin_on_request_routed__ +:end-before: __end_on_request_routed__ +:language: python +:caption: prefix_aware_router.py +``` + +When a replica dies, the router uses the `on_replica_actor_died` callback to remove the replica's entries from the shared prefix tree: +```{literalinclude} ../../../../python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +:start-after: __begin_on_replica_actor_died__ +:end-before: __end_on_replica_actor_died__ +:language: python +:caption: prefix_aware_router.py +``` + +(mixin-components)= +## Mixin components + +The `PrefixCacheAffinityRouter` inherits from two mixins. For more details about these and other available mixins, see {ref}`utility-mixin`. The router uses these mixins to optimize the list of candidate replicas against which it calculates prefix cache hit rate. + +The [`LocalityMixin`](../api/doc/ray.serve.request_router.LocalityMixin.rst) provides locality-aware routing to optimize network latency by preferring replicas on the same node. The [`MultiplexMixin`](../api/doc/ray.serve.request_router.MultiplexMixin.rst) enables model multiplexing support by tracking which models are loaded on each replica and routing requests to replicas that already have the requested model in memory. + +## Configuration parameters + +The `PrefixCacheAffinityRouter` provides several configuration parameters to tune its behavior: + +### Core routing parameters + +- **`imbalanced_threshold`** (default: 10): Queue length difference threshold for considering load balanced. Lower values prioritize load balancing over cache locality. + +- **`match_rate_threshold`** (default: 0.1): Minimum prefix match rate (0.0-1.0) required to use prefix cache-aware routing. Higher values require stronger prefix matches before routing for cache locality. + +### Memory management parameters + +- **`do_eviction`** (default: False): Enable automatic eviction of old prefix tree entries to approximate the LLM engine's eviction policy. + +- **`eviction_threshold_chars`** (default: 400,000): Maximum number of characters in the prefix tree before the LLM engine triggers an eviction. + +- **`eviction_target_chars`** (default: 360,000): Target number of characters to reduce the prefix tree to during eviction. + +- **`eviction_interval_secs`** (default: 10): Interval in seconds between eviction checks for when eviction is enabled. + +(deploy-llm-with-prefix-aware-router)= +## Deploying LLM applications with Prefix Cache-Aware Routing + +Deploy an LLM application using the prefix cache-aware request router as follows: + +```{literalinclude} ../../llm/doc_code/serve/prefix_aware_router/prefix_aware_example.py +:start-after: __prefix_aware_example_start__ +:end-before: __prefix_aware_example_end__ +:language: python +:caption: prefix_aware_example.py +``` diff --git a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py index 3fb897753ad4..a3904e70398d 100644 --- a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +++ b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py @@ -167,6 +167,7 @@ async def _prefix_match_best_replicas( ): input_text = self._extract_text_from_request(pending_request) if input_text is not None: + # Start Sphinx tag: __begin_load_balance_component__ # Check for imbalanced load. highest_queue_len = 0 lowest_queue_len = float("inf") @@ -195,6 +196,8 @@ async def _prefix_match_best_replicas( is_imbalanced = ( highest_queue_len - lowest_queue_len > self._imbalanced_threshold ) + # End Sphinx tag: __end_load_balance_component__ + # Start Sphinx tag: __begin_prefix_match_component__ if not is_imbalanced: # Convert candidate replica IDs to strings for prefix matching. candidate_replica_ids_strings = [ @@ -221,6 +224,7 @@ async def _prefix_match_best_replicas( and len(matched_tenant_id_strings) > 0 ): chosen_replica_id_strings = matched_tenant_id_strings + # End Sphinx tag: __end_prefix_match_component__ return [ [ self._replicas[ReplicaID.from_full_id_str(chosen_id_string)] @@ -228,11 +232,14 @@ async def _prefix_match_best_replicas( ] ] + # Start Sphinx tag: __begin_on_replica_actor_died__ def on_replica_actor_died(self, replica_id: ReplicaID): """Drop replica from replica set so it's not considered for future requests.""" super().on_replica_actor_died(replica_id) ray.get(self._tree_actor.remove_tenants.remote([replica_id.to_full_id_str()])) + # End Sphinx tag: __end_on_replica_actor_died__ + def update_replicas(self, replicas: List[RunningReplica]): """Update the set of available replicas to be considered for routing. @@ -283,6 +290,7 @@ async def choose_replicas( model ID are available after that timeout, it will fall back to the regular procedure. """ + # Start Sphinx tag: __begin_pow2_router_base__ # Get fallback replicas from PowerOfTwoChoicesRequestRouter fallback_replicas = await PowerOfTwoChoicesRequestRouter.choose_replicas( self, @@ -291,6 +299,7 @@ async def choose_replicas( ) if pending_request is None or not fallback_replicas: return fallback_replicas + # End Sphinx tag: __end_pow2_router_base__ if ( pending_request is not None @@ -324,6 +333,7 @@ async def choose_replicas( return fallback_replicas + # Start Sphinx tag: __begin_on_request_routed__ def on_request_routed( self, pending_request: PendingRequest, @@ -349,3 +359,5 @@ def on_request_routed( input_text, replica_id.to_full_id_str(), time.time() ) ) + + # End Sphinx tag: __end_on_request_routed__ From 81d6460bc7042a6545eea6bab0a60a87064ebb72 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Fri, 15 Aug 2025 00:21:29 +0530 Subject: [PATCH 0698/1566] skip test task processor for windows (#55616) - skipping test task processor for windows to unblock Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_task_processor.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/serve/tests/test_task_processor.py b/python/ray/serve/tests/test_task_processor.py index 171c67df8477..d31192d2d0b5 100644 --- a/python/ray/serve/tests/test_task_processor.py +++ b/python/ray/serve/tests/test_task_processor.py @@ -89,6 +89,7 @@ def _create(**kwargs): return _create +@pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") class TestTaskConsumerWithRayServe: """Test task consumer integration with Ray Serve.""" From 05c795d17f42027b469c517f11c86a095de58804 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Thu, 14 Aug 2025 11:53:36 -0700 Subject: [PATCH 0699/1566] [Serve.llm] Improve PrefixCacheAffinityRouter text normalization compat (#55588) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../prefix_aware/prefix_aware_router.py | 46 ++++++++++-- .../test_prefix_aware_request_router.py | 75 +++++++++++++++++++ 2 files changed, 115 insertions(+), 6 deletions(-) diff --git a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py index a3904e70398d..6d3027b0bef5 100644 --- a/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py +++ b/python/ray/llm/_internal/serve/request_router/prefix_aware/prefix_aware_router.py @@ -2,6 +2,7 @@ import logging import time from typing import ( + Any, List, Optional, ) @@ -139,14 +140,47 @@ def _extract_text_from_request(self, pending_request: PendingRequest) -> str: "No request with message or prompt attribute found in pending_request.args" ) - # Convert list of messages to concatenated string + return self._normalize_prompt_to_string(prompt) + + def _coerce_to_text(self, value: Any) -> str: + if value is None: + return "" + if isinstance(value, str): + return value + if isinstance(value, list): + return "".join(self._coerce_to_text(item) for item in value) + if isinstance(value, dict): + text_value = value.get("text") + if isinstance(text_value, str): + return text_value + if "content" in value: + return self._coerce_to_text(value["content"]) + + return "" + + def _normalize_prompt_to_string(self, prompt: Any) -> str: + """Normalize prompt/messages a single string of characters. + This is not exhaustive (e.g. thinking parts, multimodal are not supported). + TODO(seiji): find a more maintainable way to normalize the prompt/messages. + + Supported: + - string → return as-is + - list of strings → concat + - list of message dicts with 'content' as string → concat + - list of message dicts with 'content' as list of dicts → concat the 'text' fields from those parts + """ + if isinstance(prompt, str): + return prompt + if isinstance(prompt, list): - concatenated_messages = "".join( - msg.get("content", "") for msg in prompt if "content" in msg + return "".join( + self._coerce_to_text( + message.get("content") if isinstance(message, dict) else message + ) + for message in prompt ) - return concatenated_messages - else: - return prompt + + return "" async def _prefix_match_best_replicas( self, diff --git a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py index a3ac2ced6185..5d28ef464b06 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py +++ b/python/ray/llm/tests/serve/cpu/deployments/test_prefix_aware_request_router.py @@ -284,6 +284,74 @@ async def test_eviction_task_creation(self, prefix_request_router): ray.get(prefix_request_router._tree_actor.stop_eviction_loop.remote()) await asyncio.sleep(0.1) + +class TestPromptNormalization: + """Tests for input normalization in the prefix-aware router.""" + + def test_normalize_prompt_string(self, prefix_request_router): + req = fake_pending_request(prompt="Hello world") + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "Hello world" + + def test_normalize_messages_list_of_strings(self, prefix_request_router): + req = fake_pending_request(messages=["Hello", " ", "world"]) + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "Hello world" + + def test_normalize_messages_dict_content_string(self, prefix_request_router): + req = fake_pending_request( + messages=[ + {"content": "Hello"}, + {"content": " world"}, + ] + ) + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "Hello world" + + def test_normalize_messages_dict_content_list_of_dicts_text( + self, prefix_request_router + ): + req = fake_pending_request( + messages=[ + { + "content": [ + {"type": "text", "text": "Hello"}, + {"type": "text", "text": " world"}, + ] + } + ] + ) + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "Hello world" + + def test_normalize_messages_dict_content_list_of_strings( + self, prefix_request_router + ): + req = fake_pending_request(messages=[{"content": ["Hello", " ", "world"]}]) + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "Hello world" + + def test_normalize_unsupported_returns_empty(self, prefix_request_router): + # For now, unsupported multimodal parts should be ignored, resulting in empty string + req = fake_pending_request( + messages=[ + { + "content": [ + { + "type": "image_url", + "image_url": {"url": "http://example.com"}, + }, + ] + } + ] + ) + normalized = prefix_request_router._extract_text_from_request(req) + assert normalized == "" + + def test_extract_raises_when_no_prompt_or_messages(self, prefix_request_router): + with pytest.raises(ValueError): + _ = prefix_request_router._extract_text_from_request(fake_pending_request()) + @pytest.mark.asyncio @pytest.mark.parametrize( "prefix_request_router", @@ -331,3 +399,10 @@ async def test_eviction_threshold_behavior(self, prefix_request_router): ray.get(prefix_request_router._tree_actor.stop_eviction_loop.remote()) await asyncio.sleep(0.1) + + +if __name__ == "__main__": + import sys + + exit_code = pytest.main(["-vs", __file__]) + sys.exit(exit_code) From c2cbe499176c7d1b55b26d0ab55bcf4ad6cf1e6c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 12:56:37 -0700 Subject: [PATCH 0700/1566] [ci] read gce credentials file from global config when building anyscale images (#55580) rather than using the hard-coded filename Signed-off-by: Lonnie Liu Signed-off-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/ray_ci/anyscale_docker_container.py | 4 +++- ci/ray_ci/test_anyscale_docker_container.py | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/ci/ray_ci/anyscale_docker_container.py b/ci/ray_ci/anyscale_docker_container.py index 7144d065a1e1..ccf847590ceb 100644 --- a/ci/ray_ci/anyscale_docker_container.py +++ b/ci/ray_ci/anyscale_docker_container.py @@ -1,5 +1,6 @@ from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY from ci.ray_ci.docker_container import DockerContainer +from ray_release.configs.global_config import get_global_config class AnyscaleDockerContainer(DockerContainer): @@ -18,12 +19,13 @@ def run(self) -> None: anyscale_image = f"{aws_registry}/anyscale/{self.image_type}:{tag}" requirement = self._get_requirement_file() + gce_credentials = get_global_config()["aws2gce_credentials"] cmds = [ # build docker image "./ci/build/build-anyscale-docker.sh " + f"{ray_image} {anyscale_image} {requirement} {aws_registry}", # gcloud login - "./release/gcloud_docker_login.sh release/aws2gce_iam.json", + f"./release/gcloud_docker_login.sh {gce_credentials}", "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", ] # TODO(can): remove the alias when release test infra uses only the canonical diff --git a/ci/ray_ci/test_anyscale_docker_container.py b/ci/ray_ci/test_anyscale_docker_container.py index 52b275ddafb8..192fcfa2c051 100644 --- a/ci/ray_ci/test_anyscale_docker_container.py +++ b/ci/ray_ci/test_anyscale_docker_container.py @@ -8,6 +8,7 @@ from ci.ray_ci.anyscale_docker_container import AnyscaleDockerContainer from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY from ci.ray_ci.test_base import RayCITestBase +from ray_release.configs.global_config import get_global_config class TestAnyscaleDockerContainer(RayCITestBase): @@ -32,6 +33,7 @@ def _mock_run_script(input: List[str]) -> None: aws_ecr = _DOCKER_ECR_REPO.split("/")[0] aws_prj = f"{aws_ecr}/anyscale/ray-ml" gcp_prj = f"{_DOCKER_GCP_REGISTRY}/anyscale/ray-ml" + gce_credentials = get_global_config()["aws2gce_credentials"] tags_want = [ f"123456-{pv}-cu121", @@ -57,7 +59,7 @@ def _mock_run_script(input: List[str]) -> None: "./ci/build/build-anyscale-docker.sh " f"rayproject/ray-ml:123456-{pv}-cu121 " f"{aws_prj}:123456-{pv}-cu121 requirements_ml_byod_{v}.txt {aws_ecr}", - "./release/gcloud_docker_login.sh release/aws2gce_iam.json", + f"./release/gcloud_docker_login.sh {gce_credentials}", "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", ] + push_cmds_want From 4a1842f2e2560944726ae73f6384cb6ad49acf70 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Thu, 14 Aug 2025 13:59:45 -0700 Subject: [PATCH 0701/1566] [release] Script to build custom BYOD image (#55577) Add `custom_byod_build` as a python binary that the Buildkite jobs can call to build & push custom BYOD images --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 27 ++++++++ .../ray_release/scripts/custom_byod_build.py | 14 +++++ .../tests/test_custom_byod_build.py | 63 +++++++++++++++++++ 3 files changed, 104 insertions(+) create mode 100644 release/ray_release/scripts/custom_byod_build.py create mode 100644 release/ray_release/tests/test_custom_byod_build.py diff --git a/release/BUILD.bazel b/release/BUILD.bazel index a7f8320bd23a..a726911feac2 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -438,6 +438,24 @@ py_test( ], ) +py_test( + name = "test_custom_byod_build", + size = "small", + srcs = ["ray_release/tests/test_custom_byod_build.py"], + data = [ + "ray_release/configs/oss_config.yaml", + ], + exec_compatible_with = ["//:hermetic_python"], + tags = [ + "release_unit", + "team:ci", + ], + deps = [ + ":ray_release", + bk_require("pytest"), + ], +) + py_test( name = "test_cluster_manager", size = "small", @@ -688,3 +706,12 @@ py_binary( ":ray_release", ], ) + +py_binary( + name = "custom_byod_build", + srcs = ["ray_release/scripts/custom_byod_build.py"], + exec_compatible_with = ["//:hermetic_python"], + deps = [ + ":ray_release", + ], +) diff --git a/release/ray_release/scripts/custom_byod_build.py b/release/ray_release/scripts/custom_byod_build.py new file mode 100644 index 000000000000..c773b46ff5ca --- /dev/null +++ b/release/ray_release/scripts/custom_byod_build.py @@ -0,0 +1,14 @@ +import click +from ray_release.byod.build import build_anyscale_custom_byod_image + + +@click.command() +@click.option("--image-name", type=str, required=True) +@click.option("--base-image", type=str, required=True) +@click.option("--post-build-script", type=str, required=True) +def main(image_name: str, base_image: str, post_build_script: str): + build_anyscale_custom_byod_image(image_name, base_image, post_build_script) + + +if __name__ == "__main__": + main() diff --git a/release/ray_release/tests/test_custom_byod_build.py b/release/ray_release/tests/test_custom_byod_build.py new file mode 100644 index 000000000000..7e29a352096d --- /dev/null +++ b/release/ray_release/tests/test_custom_byod_build.py @@ -0,0 +1,63 @@ +import sys +import pytest +from unittest.mock import patch + +from click.testing import CliRunner +from ray_release.scripts.custom_byod_build import main + + +@patch("ray_release.scripts.custom_byod_build.build_anyscale_custom_byod_image") +def test_custom_byod_build(mock_build_anyscale_custom_byod_image): + mock_build_anyscale_custom_byod_image.return_value = None + runner = CliRunner() + result = runner.invoke( + main, + [ + "--image-name", + "test-image", + "--base-image", + "test-base-image", + "--post-build-script", + "test_post_build_script.sh", + ], + ) + assert result.exit_code == 0 + + +@patch("ray_release.scripts.custom_byod_build.build_anyscale_custom_byod_image") +def test_custom_byod_build_missing_arg(mock_build_anyscale_custom_byod_image): + mock_build_anyscale_custom_byod_image.return_value = None + runner = CliRunner() + result = runner.invoke( + main, + [ + "--base-image", + "test-base-image", + "--post-build-script", + "test_post_build_script.sh", + ], + ) + assert result.exit_code == 2 + assert "Error: Missing option '--image-name'" in result.output + + result = runner.invoke( + main, + [ + "--image-name", + "test-image", + "--post-build-script", + "test_post_build_script.sh", + ], + ) + assert result.exit_code == 2 + assert "Error: Missing option '--base-image'" in result.output + + result = runner.invoke( + main, ["--image-name", "test-image", "--base-image", "test-base-image"] + ) + assert result.exit_code == 2 + assert "Error: Missing option '--post-build-script'" in result.output + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From 38662e536bbf557e16f87d4960697d270e897c91 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 14 Aug 2025 14:10:44 -0700 Subject: [PATCH 0702/1566] [core][otel] change+simplify the feature flag for open telemetry (#55592) Change and simplify the feature flag to enable open telemetry. This will enable us to enable open telemetry for the next Ray release version, without worrying about messing up previous Ray release versions. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/_private/ray_constants.py | 17 ++------ .../modules/reporter/reporter_agent.py | 7 ++-- .../modules/reporter/tests/test_reporter.py | 6 +-- python/ray/tests/BUILD | 3 +- python/ray/tests/test_metric_cardinality.py | 13 ++----- python/ray/tests/test_metrics_agent.py | 16 ++------ python/ray/util/metrics.py | 2 +- release/release_tests.yaml | 39 +++++++------------ src/ray/common/ray_config_def.h | 13 ++----- src/ray/stats/metric.cc | 2 +- src/ray/stats/metric.h | 2 +- src/ray/stats/stats.h | 16 ++++++-- src/ray/stats/tests/BUILD.bazel | 2 +- 13 files changed, 49 insertions(+), 89 deletions(-) diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index bad2a4585938..01b194e62696 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -578,20 +578,9 @@ def gcs_actor_scheduling_enabled(): # Defaults to False to use pynvml to collect usage. RAY_METRIC_ENABLE_GPU_NVSMI = env_bool("RAY_metric_enable_gpu_nvsmi", False) -# Whether enable OpenTelemetry as the metrics collection backend on the driver -# component. This flag is only used during the migration of the metric collection -# backend from OpenCensus to OpenTelemetry. It will be removed in the future. -RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_AGENT = env_bool( - "RAY_experimental_enable_open_telemetry_on_agent", False -) - -# Whether enable OpenTelemetry as the metrics collection backend on the core -# components (core workers, gcs server, raylet, etc.). This flag is only used during -# the migration of the metric collection backend from OpenCensus to OpenTelemetry. -# It will be removed in the future. -RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_CORE = env_bool( - "RAY_experimental_enable_open_telemetry_on_core", False -) +# Whether enable OpenTelemetry as the metrics collection backend. The default is +# using OpenCensus. +RAY_ENABLE_OPEN_TELEMETRY = env_bool("RAY_enable_open_telemetry", False) # How long to wait for a fetch to complete during ray.get before timing out and raising an exception to the user. # diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 835a5b1be6a8..16355729011f 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -41,8 +41,7 @@ from ray._private.metrics_agent import Gauge, MetricsAgent, Record from ray._private.ray_constants import ( DEBUG_AUTOSCALING_STATUS, - RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_AGENT, - RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_CORE, + RAY_ENABLE_OPEN_TELEMETRY, env_integer, ) from ray._private.telemetry.open_telemetry_metric_recorder import ( @@ -1734,7 +1733,7 @@ def _compose_stats_payload( records = self._to_records(stats, cluster_stats) - if RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_AGENT: + if RAY_ENABLE_OPEN_TELEMETRY: self._open_telemetry_metric_recorder.record_and_export( records, global_tags={ @@ -1758,7 +1757,7 @@ def _compose_stats_payload( async def run(self, server): if server: reporter_pb2_grpc.add_ReporterServiceServicer_to_server(self, server) - if RAY_EXPERIMENTAL_ENABLE_OPEN_TELEMETRY_ON_CORE: + if RAY_ENABLE_OPEN_TELEMETRY: metrics_service_pb2_grpc.add_MetricsServiceServicer_to_server( self, server ) diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 1c4ee8a0f8d0..9390275b0297 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -200,11 +200,11 @@ def enable_open_telemetry(request): Fixture to enable OpenTelemetry for the test. """ if request.param: - os.environ["RAY_experimental_enable_open_telemetry_on_agent"] = "1" + os.environ["RAY_enable_open_telemetry"] = "1" else: - os.environ["RAY_experimental_enable_open_telemetry_on_agent"] = "0" + os.environ["RAY_enable_open_telemetry"] = "0" yield - os.environ.pop("RAY_experimental_enable_open_telemetry_on_agent", None) + os.environ.pop("RAY_enable_open_telemetry", None) @pytest.mark.skipif(prometheus_client is None, reason="prometheus_client not installed") diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 46dccaa12c0e..f4e604144df9 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -83,8 +83,7 @@ py_test_module_list( py_test_module_list( size = "medium", env = { - "RAY_experimental_enable_open_telemetry_on_agent": "1", - "RAY_experimental_enable_open_telemetry_on_core": "1", + "RAY_enable_open_telemetry": "1", }, files = [ "test_metric_cardinality.py", diff --git a/python/ray/tests/test_metric_cardinality.py b/python/ray/tests/test_metric_cardinality.py index 426daaaa2181..c7b429cdef9d 100644 --- a/python/ray/tests/test_metric_cardinality.py +++ b/python/ray/tests/test_metric_cardinality.py @@ -39,14 +39,7 @@ def _setup_cluster_for_test(request, ray_start_cluster): _system_config={ "enable_metrics_collection": True, "metric_cardinality_level": core_metric_cardinality_level, - "experimental_enable_open_telemetry_on_agent": os.getenv( - "RAY_experimental_enable_open_telemetry_on_agent" - ) - == "1", - "experimental_enable_open_telemetry_on_core": os.getenv( - "RAY_experimental_enable_open_telemetry_on_core" - ) - == "1", + "enable_open_telemetry": os.getenv("RAY_enable_open_telemetry") == "1", } ) cluster.wait_for_nodes() @@ -152,8 +145,8 @@ def test_cardinality_recommended_and_legacy_levels( # implementation doesn't support low cardinality. @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") @pytest.mark.skipif( - os.getenv("RAY_experimental_enable_open_telemetry_on_agent") != "1", - reason="OpenTelemetry is not enabled on agent", + os.getenv("RAY_enable_open_telemetry") != "1", + reason="OpenTelemetry is not enabled", ) @pytest.mark.parametrize( "_setup_cluster_for_test,cardinality_level", diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index a167b701012b..4ce83269cc69 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -196,14 +196,7 @@ def _setup_cluster_for_test(request, ray_start_cluster): "event_stats_print_interval_ms": 500, "event_stats": True, "enable_metrics_collection": enable_metrics_collection, - "experimental_enable_open_telemetry_on_agent": os.getenv( - "RAY_experimental_enable_open_telemetry_on_agent" - ) - == "1", - "experimental_enable_open_telemetry_on_core": os.getenv( - "RAY_experimental_enable_open_telemetry_on_core" - ) - == "1", + "enable_open_telemetry": os.getenv("RAY_enable_open_telemetry") == "1", } ) # Add worker nodes. @@ -277,8 +270,7 @@ async def ping(self): @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") @pytest.mark.skipif( - os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1" - and sys.platform == "darwin", + os.environ.get("RAY_enable_open_telemetry") == "1" and sys.platform == "darwin", reason="OpenTelemetry is not working on macOS yet.", ) @pytest.mark.parametrize("_setup_cluster_for_test", [True], indirect=True) @@ -319,7 +311,7 @@ def test_cases(): "test_driver_counter_total", "test_gauge", ] - if os.environ.get("RAY_experimental_enable_open_telemetry_on_core") != "1" + if os.environ.get("RAY_enable_open_telemetry") != "1" else [ "test_counter_total", "test_driver_counter_total", @@ -770,7 +762,7 @@ def wrap_test_case_for_retry(): @pytest.mark.skipif(sys.platform == "win32", reason="Not working in Windows.") @pytest.mark.skipif( - os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1", + os.environ.get("RAY_enable_open_telemetry") == "1", reason="OpenTelemetry backend does not support Counter exported as gauge.", ) def test_counter_exported_as_gauge(shutdown_only): diff --git a/python/ray/util/metrics.py b/python/ray/util/metrics.py index ec1988044b65..614dd34d41fa 100644 --- a/python/ray/util/metrics.py +++ b/python/ray/util/metrics.py @@ -191,7 +191,7 @@ def __init__( if self._discard_metric: self._metric = None else: - if os.environ.get("RAY_experimental_enable_open_telemetry_on_core") == "1": + if os.environ.get("RAY_enable_open_telemetry") == "1": """ For the new opentelemetry implementation, we'll correctly use Counter rather than Sum. diff --git a/release/release_tests.yaml b/release/release_tests.yaml index a854d73267af..df48adcc55d7 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2858,8 +2858,7 @@ cluster: byod: runtime_env: - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: stress_tests/placement_group_tests_compute.yaml run: @@ -2933,8 +2932,7 @@ cluster: byod: runtime_env: - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: tpl_64.yaml run: @@ -3215,8 +3213,7 @@ cluster: byod: runtime_env: - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3258,8 +3255,7 @@ cluster: byod: runtime_env: - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3393,8 +3389,7 @@ cluster: byod: runtime_env: - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: stress_tests/stress_tests_single_node_oom_compute.yaml run: @@ -3558,8 +3553,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: single_node.yaml run: @@ -3587,8 +3581,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: object_store.yaml run: @@ -3617,8 +3610,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: object_store/small_objects.yaml run: @@ -3642,8 +3634,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: object_store/large_objects.yaml run: @@ -3667,8 +3658,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3717,8 +3707,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3747,8 +3736,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3798,8 +3786,7 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_experimental_enable_open_telemetry_on_agent=1 - - RAY_experimental_enable_open_telemetry_on_core=1 + - RAY_enable_open_telemetry=1 cluster_compute: many_nodes.yaml run: diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 5aa0e3ef306e..313446827d30 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -520,16 +520,9 @@ RAY_CONFIG(bool, enable_metrics_collection, true) /// RAY_METRIC_CARDINALITY_LEVEL in ray_constants.py RAY_CONFIG(std::string, metric_cardinality_level, "legacy") -/// Whether enable OpenTelemetry as the metrics collection backend on the driver -/// component. This flag is only used during the migration of the metric collection -/// backend from OpenCensus to OpenTelemetry. It will be removed in the future. -RAY_CONFIG(bool, experimental_enable_open_telemetry_on_agent, false) - -/// Whether enable OpenTelemetry as the metrics collection backend on the core -/// components (core workers, gcs server, raylet, etc.). This flag is only used during -/// the migration of the metric collection backend from OpenCensus to OpenTelemetry. -/// It will be removed in the future. -RAY_CONFIG(bool, experimental_enable_open_telemetry_on_core, false) +/// Whether enable OpenTelemetry as the metrics collection backend. The default is +/// using OpenCensus. +RAY_CONFIG(bool, enable_open_telemetry, false) /// Comma separated list of components we enable grpc metrics collection for. /// Only effective if `enable_metrics_collection` is also true. Will have some performance diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index e5e620fbb5ae..c2dcd38ddc26 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -113,7 +113,7 @@ void Metric::Record(double value, TagsType tags) { return; } - if (::RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + if (::RayConfig::instance().enable_open_telemetry()) { // Register the metric if it hasn't been registered yet; otherwise, this is a no-op. // We defer metric registration until the first time it's recorded, rather than during // construction, to avoid issues with static initialization order. Specifically, our diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index daacf41e1c10..10322d4e2c85 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -265,7 +265,7 @@ void RegisterView(const std::string &name, const std::string &description, const std::vector &tag_keys, const std::vector &buckets) { - if (!::RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + if (!::RayConfig::instance().enable_open_telemetry()) { // OpenTelemetry is not enabled, register the view as an OpenCensus view. using I = StatsTypeMap; auto view_descriptor = opencensus::stats::ViewDescriptor() diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index 3bdadbe51f23..74c1f25e8a0e 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -46,6 +46,12 @@ using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; static std::shared_ptr metrics_io_service_pool; static absl::Mutex stats_mutex; +// Returns true if OpenCensus should be enabled. +static inline bool should_enable_open_census() { + return !RayConfig::instance().enable_open_telemetry() || + !RayConfig::instance().enable_grpc_metrics_collection_for().empty(); +} + /// Initialize stats for a process. /// NOTE: /// - stats::Init should be called only once per PROCESS. Redundant calls will be just @@ -84,14 +90,15 @@ static inline void Init( absl::Milliseconds(std::max(RayConfig::instance().metrics_report_interval_ms() / 2, static_cast(500)))); // Register the metric recorder. - if (RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + if (RayConfig::instance().enable_open_telemetry()) { OpenTelemetryMetricRecorder::GetInstance().RegisterGrpcExporter( BuildAddress("127.0.0.1", metrics_agent_port), std::chrono::milliseconds( absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), std::chrono::milliseconds( absl::ToInt64Milliseconds(StatsConfig::instance().GetHarvestInterval()))); - } else { + } + if (should_enable_open_census()) { metrics_io_service_pool = std::make_shared(1); metrics_io_service_pool->Run(); instrumented_io_context *metrics_io_service = metrics_io_service_pool->Get(); @@ -123,9 +130,10 @@ static inline void Shutdown() { // Return if stats had never been initialized. return; } - if (RayConfig::instance().experimental_enable_open_telemetry_on_core()) { + if (RayConfig::instance().enable_open_telemetry()) { OpenTelemetryMetricRecorder::GetInstance().Shutdown(); - } else { + } + if (should_enable_open_census()) { metrics_io_service_pool->Stop(); opencensus::stats::DeltaProducer::Get()->Shutdown(); opencensus::stats::StatsExporter::Shutdown(); diff --git a/src/ray/stats/tests/BUILD.bazel b/src/ray/stats/tests/BUILD.bazel index e1d3f7d66f0a..90bfa18328a8 100644 --- a/src/ray/stats/tests/BUILD.bazel +++ b/src/ray/stats/tests/BUILD.bazel @@ -5,7 +5,7 @@ ray_cc_test( size = "small", srcs = ["metric_with_open_telemetry_test.cc"], env = { - "RAY_experimental_enable_open_telemetry_on_core": "1", + "RAY_enable_open_telemetry": "1", }, tags = ["team:core"], deps = [ From 9b7f630a5642e5ca748cbcdbf18ae28a79c9aa21 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 14 Aug 2025 14:42:57 -0700 Subject: [PATCH 0703/1566] [core] Fix ubsan for publisher_test (#55621) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/pubsub/test/publisher_test.cc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/ray/pubsub/test/publisher_test.cc b/src/ray/pubsub/test/publisher_test.cc index 9165bd52d7fa..4d225ba75d28 100644 --- a/src/ray/pubsub/test/publisher_test.cc +++ b/src/ray/pubsub/test/publisher_test.cc @@ -342,6 +342,7 @@ TEST_F(PublisherTest, TestSubscriptionIndexIdempotency) { TEST_F(PublisherTest, TestSubscriber) { absl::flat_hash_set object_ids_published; + reply = rpc::PubsubLongPollingReply(); send_reply_callback = [this, &object_ids_published](Status status, std::function success, std::function failure) { @@ -351,7 +352,7 @@ TEST_F(PublisherTest, TestSubscriber) { ObjectID::FromBinary(msg.worker_object_eviction_message().object_id()); object_ids_published.emplace(oid); } - reply = rpc::PubsubLongPollingReply(); + reply.Clear(); }; auto subscriber = std::make_shared( From 6871caf89ca61468299bcfc727626be6de936d60 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 14 Aug 2025 16:44:08 -0700 Subject: [PATCH 0704/1566] [ci] raydepsets changing load to build (1/4) (#55627) updating cli command from load to build Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 4 ++-- ci/raydepsets/tests/test_cli.py | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index c127f1218ae5..79872c2b3387 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -49,7 +49,7 @@ def cli(): @click.option( "--uv-cache-dir", default=None, help="The directory to cache uv dependencies" ) -def load( +def build( config_path: str, workspace_dir: Optional[str], name: Optional[str], @@ -57,7 +57,7 @@ def load( uv_cache_dir: Optional[str], ): """ - Load dependency sets from a config file. + Build dependency sets from a config file. Args: config_path: The path to the config file. If not specified, ci/raydepsets/ray.depsets.yaml will be used. """ diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 37083e62f348..a00ddfd79e05 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -19,7 +19,7 @@ _get_depset, _override_uv_flags, _uv_binary, - load, + build, ) from ci.raydepsets.tests.utils import ( append_to_file, @@ -52,7 +52,7 @@ def _create_test_manager( class TestCli(unittest.TestCase): def test_cli_load_fail_no_config(self): result = CliRunner().invoke( - load, + build, [ "fake_path/test.depsets.yaml", "--workspace-dir", @@ -157,7 +157,7 @@ def test_compile_by_depset_name(self): uv_cache_dir = Path(tmpdir) / "uv_cache" result = CliRunner().invoke( - load, + build, [ "test.depsets.yaml", "--workspace-dir", From f65653f111fde2cb664a3d19b3bf226ba0093f4c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 14 Aug 2025 16:44:58 -0700 Subject: [PATCH 0705/1566] [ci] pipe through `RAYCI_DISABLE_JAVA` for manylinux base image building (#55606) so that when we do not need java, we can skip installing JDK in the image. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-forge.sh | 2 +- ci/docker/manylinux.Dockerfile | 2 ++ ci/docker/manylinux.aarch64.wanda.yaml | 1 + ci/docker/manylinux.wanda.yaml | 1 + 4 files changed, 5 insertions(+), 1 deletion(-) diff --git a/ci/build/build-manylinux-forge.sh b/ci/build/build-manylinux-forge.sh index 29a52e3651a6..8c98069343f7 100755 --- a/ci/build/build-manylinux-forge.sh +++ b/ci/build/build-manylinux-forge.sh @@ -22,7 +22,7 @@ if [[ "${HOSTTYPE-}" == "x86_64" ]]; then fi # Install ray java dependencies. -if [[ "${RAY_INSTALL_JAVA}" == "1" ]]; then +if [[ "${RAYCI_DISABLE_JAVA:-false}" != "true" && "${RAY_INSTALL_JAVA:-1}" == "1" ]]; then sudo yum -y install java-1.8.0-openjdk java-1.8.0-openjdk-devel maven java -version JAVA_BIN="$(readlink -f "$(command -v java)")" diff --git a/ci/docker/manylinux.Dockerfile b/ci/docker/manylinux.Dockerfile index d090e53b5e1f..c9c3111b3077 100644 --- a/ci/docker/manylinux.Dockerfile +++ b/ci/docker/manylinux.Dockerfile @@ -4,8 +4,10 @@ ARG HOSTTYPE FROM quay.io/pypa/manylinux2014_${HOSTTYPE}:2024-07-02-9ac04ee ARG BUILDKITE_BAZEL_CACHE_URL +ARG RAYCI_DISABLE_JAVA=false ENV BUILD_JAR=1 +ENV RAYCI_DISABLE_JAVA=$RAYCI_DISABLE_JAVA ENV RAY_INSTALL_JAVA=1 ENV BUILDKITE_BAZEL_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL diff --git a/ci/docker/manylinux.aarch64.wanda.yaml b/ci/docker/manylinux.aarch64.wanda.yaml index 5b72e6df5bd3..fb5827b560dc 100644 --- a/ci/docker/manylinux.aarch64.wanda.yaml +++ b/ci/docker/manylinux.aarch64.wanda.yaml @@ -5,5 +5,6 @@ srcs: - ci/build/build-manylinux-forge.sh build_args: - BUILDKITE_BAZEL_CACHE_URL + - RAYCI_DISABLE_JAVA - HOSTTYPE=aarch64 dockerfile: ci/docker/manylinux.Dockerfile diff --git a/ci/docker/manylinux.wanda.yaml b/ci/docker/manylinux.wanda.yaml index 3e01ed3a2cd6..5b72115f3cc7 100644 --- a/ci/docker/manylinux.wanda.yaml +++ b/ci/docker/manylinux.wanda.yaml @@ -5,5 +5,6 @@ srcs: - ci/build/build-manylinux-forge.sh build_args: - BUILDKITE_BAZEL_CACHE_URL + - RAYCI_DISABLE_JAVA - HOSTTYPE=x86_64 dockerfile: ci/docker/manylinux.Dockerfile From fbeb935897865e2be81d8af9a2a4c5c2d7c00028 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 14 Aug 2025 17:35:01 -0700 Subject: [PATCH 0706/1566] [Serve] Add route_prefix field to DeploymentVersion (#55407) This PR adds `route_prefix` to `DeploymentVersion` class to allow robust light weight config update with `route_prefix`. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 4 +++- python/ray/serve/_private/replica.py | 15 +++++++++---- python/ray/serve/_private/version.py | 14 +++++++++++-- python/ray/serve/tests/test_deploy_app_2.py | 14 +++++++------ .../serve/tests/test_deployment_version.py | 21 +++++++++++++++++++ 5 files changed, 55 insertions(+), 13 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 3f5cd5f2717d..6bf969f9538f 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -131,6 +131,7 @@ def create( placement_group_bundles=info.replica_config.placement_group_bundles, placement_group_strategy=info.replica_config.placement_group_strategy, max_replicas_per_node=info.replica_config.max_replicas_per_node, + route_prefix=info.route_prefix, ) return cls(info, target_num_replicas, version, deleting) @@ -597,7 +598,7 @@ def reconfigure(self, version: DeploymentVersion) -> bool: deployment_config.user_config ) self._ready_obj_ref = self._actor_handle.reconfigure.remote( - deployment_config + deployment_config, version.route_prefix ) self._version = version @@ -1745,6 +1746,7 @@ def deploy(self, deployment_info: DeploymentInfo) -> bool: != deployment_info.deployment_config or curr_deployment_info.replica_config.ray_actor_options != deployment_info.replica_config.ray_actor_options + or curr_deployment_info.route_prefix != deployment_info.route_prefix or deployment_info.version is None or curr_deployment_info.version != deployment_info.version ) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index d1831ea1c7fe..298c1bbfe804 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -751,7 +751,9 @@ async def initialize(self, deployment_config: DeploymentConfig): except Exception: raise RuntimeError(traceback.format_exc()) from None - async def reconfigure(self, deployment_config: DeploymentConfig): + async def reconfigure( + self, deployment_config: DeploymentConfig, route_prefix: Optional[str] = None + ): try: user_config_changed = ( deployment_config.user_config != self._deployment_config.user_config @@ -762,7 +764,7 @@ async def reconfigure(self, deployment_config: DeploymentConfig): ) self._deployment_config = deployment_config self._version = DeploymentVersion.from_deployment_version( - self._version, deployment_config + self._version, deployment_config, route_prefix ) self._metrics_manager.set_autoscaling_config( @@ -784,6 +786,9 @@ async def reconfigure(self, deployment_config: DeploymentConfig): self._set_internal_replica_context( servable_object=self._user_callable_wrapper.user_callable ) + + self._route_prefix = route_prefix + except Exception: raise RuntimeError(traceback.format_exc()) from None @@ -1041,8 +1046,10 @@ async def check_health(self): async def record_routing_stats(self) -> Dict[str, Any]: return await self._replica_impl.record_routing_stats() - async def reconfigure(self, deployment_config) -> ReplicaMetadata: - await self._replica_impl.reconfigure(deployment_config) + async def reconfigure( + self, deployment_config, route_prefix: Optional[str] = None + ) -> ReplicaMetadata: + await self._replica_impl.reconfigure(deployment_config, route_prefix) return self._replica_impl.get_metadata() def _preprocess_request_args( diff --git a/python/ray/serve/_private/version.py b/python/ray/serve/_private/version.py index 9242dfc928e9..1c064a9a9dc7 100644 --- a/python/ray/serve/_private/version.py +++ b/python/ray/serve/_private/version.py @@ -22,6 +22,7 @@ def __init__( placement_group_bundles: Optional[List[Dict[str, float]]] = None, placement_group_strategy: Optional[str] = None, max_replicas_per_node: Optional[int] = None, + route_prefix: Optional[str] = None, ): if code_version is not None and not isinstance(code_version, str): raise TypeError(f"code_version must be str, got {type(code_version)}.") @@ -37,12 +38,16 @@ def __init__( self.placement_group_bundles = placement_group_bundles self.placement_group_strategy = placement_group_strategy self.max_replicas_per_node = max_replicas_per_node + self.route_prefix = route_prefix self.compute_hashes() @classmethod - def from_deployment_version(cls, deployment_version, deployment_config): + def from_deployment_version( + cls, deployment_version, deployment_config, route_prefix: Optional[str] = None + ): version_copy = deepcopy(deployment_version) version_copy.deployment_config = deployment_config + version_copy.route_prefix = route_prefix version_copy.compute_hashes() return version_copy @@ -95,11 +100,15 @@ def compute_hashes(self): combined_placement_group_options ) self.placement_group_options_hash = crc32(serialized_placement_group_options) + # Include app-level route prefix in the version hashes so changing + # it triggers an in-place reconfigure of running replicas. + serialized_route_prefix = _serialize(self.route_prefix) # If this changes, DeploymentReplica.reconfigure() will call reconfigure on the # actual replica actor self.reconfigure_actor_hash = crc32( - self._get_serialized_options( + serialized_route_prefix + + self._get_serialized_options( [DeploymentOptionUpdateType.NeedsActorReconfigure] ) ) @@ -111,6 +120,7 @@ def compute_hashes(self): + serialized_ray_actor_options + serialized_placement_group_options + str(self.max_replicas_per_node).encode("utf-8") + + serialized_route_prefix + self._get_serialized_options( [ DeploymentOptionUpdateType.NeedsReconfigure, diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 98eff882586b..fe073c07eb6b 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -20,6 +20,7 @@ ) from ray.serve._private.test_utils import ( check_num_replicas_eq, + get_application_url, ) from ray.serve.schema import ( ApplicationStatus, @@ -558,23 +559,24 @@ def test_change_route_prefix(serve_instance): "import_path": "ray.serve.tests.test_config_files.pid.node", } client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - wait_for_condition(check_running) - pid1 = httpx.get("http://localhost:8000/old").json()[0] - + url = get_application_url() + pid1 = httpx.get(url).json()[0] # Redeploy application with route prefix /new. app_config["route_prefix"] = "/new" client.deploy_apps(ServeDeploySchema(**{"applications": [app_config]})) - + wait_for_condition(check_running) # Check that the old route is gone and the response from the new route # has the same PID (replica wasn't restarted). def check_switched(): # Old route should be gone - resp = httpx.get("http://localhost:8000/old") + url = get_application_url(exclude_route_prefix=True) + resp = httpx.get(f"{url}/old") assert "Path '/old' not found." in resp.text # Response from new route should be same PID - pid2 = httpx.get("http://localhost:8000/new").json()[0] + url = get_application_url() + pid2 = httpx.get(url).json()[0] assert pid2 == pid1 return True diff --git a/python/ray/serve/tests/test_deployment_version.py b/python/ray/serve/tests/test_deployment_version.py index ce37a9100e74..b1202aee3134 100644 --- a/python/ray/serve/tests/test_deployment_version.py +++ b/python/ray/serve/tests/test_deployment_version.py @@ -17,6 +17,27 @@ def get_version(): assert len(set(ray.get([get_version.remote() for _ in range(100)]))) == 1 +def test_route_prefix_changes_trigger_reconfigure_hash(): + """Test that route prefix changes trigger a reconfigure hash change.""" + cfg = DeploymentConfig() + v1 = DeploymentVersion( + code_version="same version", + deployment_config=cfg, + ray_actor_options={}, + route_prefix="/a", + ) + v2 = DeploymentVersion( + code_version="same version", + deployment_config=cfg, + ray_actor_options={}, + route_prefix="/b", + ) + assert v1.reconfigure_actor_hash != v2.reconfigure_actor_hash + # Should not require a full actor restart if nothing else changed + assert not v1.requires_actor_restart(v2) + assert v1.requires_actor_reconfigure(v2) + + if __name__ == "__main__": import sys From 875b2ce45d22e69d7db7dce2862a0e1600cc30da Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 14 Aug 2025 17:45:05 -0700 Subject: [PATCH 0707/1566] [ci] upgrading uv binary and updating test (2/4) (#55626) - upgrading uv from 0.7.20 -> 0.8.10 to gain parity with uv used compile llm lock files job - updating unit test Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- WORKSPACE | 4 ++-- ci/raydepsets/tests/test_cli.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/WORKSPACE b/WORKSPACE index 73158be8e560..e56c6a109b05 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -125,8 +125,8 @@ filegroup( visibility = ["//visibility:public"], ) """, - sha256 = "10f204426ff188925d22a53c1d0310d190a8d4d24513712e1b8e2ca9873f0666", - urls = ["https://github.com/astral-sh/uv/releases/download/0.7.20/uv-x86_64-unknown-linux-gnu.tar.gz"], + sha256 = "2c4392591fe9469d006452ef22f32712f35087d87fb1764ec03e23544eb8770d", + urls = ["https://github.com/astral-sh/uv/releases/download/0.8.10/uv-x86_64-unknown-linux-gnu.tar.gz"], ) http_archive( diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index a00ddfd79e05..6401b8d766be 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -94,7 +94,7 @@ def test_uv_version(self): stderr=subprocess.PIPE, ) assert result.returncode == 0 - assert "uv 0.7.20" in result.stdout.decode("utf-8") + assert "uv 0.8.10" in result.stdout.decode("utf-8") assert result.stderr.decode("utf-8") == "" def test_compile(self): From 8bde9d8f827a96eacc998a49e690d50a912e72c1 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 14 Aug 2025 18:53:49 -0700 Subject: [PATCH 0708/1566] [Train] - Bump up test size for test_data_integration (#55633) Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/train/v2/BUILD | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index 8b0128a3a15d..de2284e3a96e 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -71,7 +71,7 @@ py_test( py_test( name = "test_data_integration", - size = "small", + size = "medium", srcs = ["tests/test_data_integration.py"], env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ From c805c04483dc33b2bbf09bd17a4c3dcf74d66da0 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 14 Aug 2025 19:25:41 -0700 Subject: [PATCH 0709/1566] [core] add test rules for container tests (#55622) The `core: container` test is pretty flaky on premerge and block PRs from time to time. This PR add a test rule to only run this test on a change that touches `python/ray/runtime_env`. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 12 ++++++------ ci/pipeline/test_rules.txt | 4 ++++ python/ray/tests/BUILD | 2 +- 3 files changed, 11 insertions(+), 7 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 09542fe0a8f3..e5e1afca4e0d 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -60,7 +60,7 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/tests/... //python/ray/_common/tests/... //python/ray/dag/... //python/ray/autoscaler/v2/... core --install-mask all-ray-libraries --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,container,manual,multi_gpu,spark_on_ray,ray_client,compiled_graphs,dask + --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,compiled_graphs,dask --install-mask all-ray-libraries - label: ":ray: core: cgraph python tests" @@ -86,7 +86,7 @@ steps: --install-mask all-ray-libraries --workers 4 --worker-id "{{matrix.worker_id}}" --parallelism-per-worker 3 --python-version {{matrix.python}} - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,container,manual,multi_gpu,spark_on_ray,ray_client,dask + --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask depends_on: corebuild-multipy matrix: setup: @@ -115,7 +115,7 @@ steps: --install-mask all-ray-libraries --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --test-env=TEST_EXTERNAL_REDIS=1 - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,container,manual,multi_gpu,spark_on_ray,ray_client,dask + --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask - label: ":ray: core: memory pressure tests" tags: @@ -433,10 +433,10 @@ steps: - raycpubase - corebuild - - label: ":ray: core: container tests" + - label: ":ray: core: runtime env container tests" tags: - - python - docker + - runtime_env_container - oss instance_type: medium commands: @@ -447,7 +447,7 @@ steps: # Disable test DB, these tests will never succeed if run in the flaky step. - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //python/ray/tests/... core --install-mask all-ray-libraries - --only-tags container + --only-tags runtime_env_container depends_on: - manylinux - forge diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index e13a83b25e12..bc102a99c74e 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -99,6 +99,10 @@ python/ray/util/spark/ @ python spark_on_ray ; +python/ray/runtime_env/ +@ python runtime_env_container +; + python/ @ ml tune train data # Python changes might impact cross language stack in Java. diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index f4e604144df9..7716ecc22d9a 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -1089,8 +1089,8 @@ py_test( size = "large", srcs = ["test_runtime_env_container.py"], tags = [ - "container", "exclusive", + "runtime_env_container", "team:core", ], deps = [ From be78fc13013af077295e01ce12626919c4de8f45 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 14 Aug 2025 22:02:24 -0700 Subject: [PATCH 0710/1566] [ci] Add hook to clean the Ray address file before the test run starts (#54715) Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/tests/conftest.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index a3738328233c..7909600440d9 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -1468,6 +1468,15 @@ def random_ascii_file(request): yield fp +# Clean up Ray address file before the test run starts, since sometimes bazel test times out +# and kill the test process, without cleaning up the Ray address file. +def pytest_sessionstart(session): + """Called after the Session object has been created and before performing collection and entering the run test loop.""" + + # Delete the cluster address file just in case. + ray._common.utils.reset_ray_address() + + """ pytest httpserver related test fixtures """ From dc141d96e0b31d7cd551c82083d894ec1ab60f5a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 15 Aug 2025 00:00:49 -0700 Subject: [PATCH 0711/1566] [ci] release test: use rayci to perform test init (#55629) so that rayci buildid can be populated Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/config.yml | 5 +++++ .buildkite/release/test-init.sh | 31 +++++++++++++++++++++++++++++++ .buildkite/release/test.rayci.yml | 11 +++++++++++ 3 files changed, 47 insertions(+) create mode 100644 .buildkite/release/test-init.sh create mode 100644 .buildkite/release/test.rayci.yml diff --git a/.buildkite/release/config.yml b/.buildkite/release/config.yml index 6dffd5492011..7917e6356526 100644 --- a/.buildkite/release/config.yml +++ b/.buildkite/release/config.yml @@ -15,3 +15,8 @@ env: RAYCI_SKIP_UPLOAD: "true" hook_env_keys: - RAYCI_CHECKOUT_DIR +build_env_keys: + - AUTOMATIC + - RELEASE_FREQUENCY +docker_plugin: + allow_mount_buildkite_agent: true diff --git a/.buildkite/release/test-init.sh b/.buildkite/release/test-init.sh new file mode 100644 index 000000000000..85282c9002c7 --- /dev/null +++ b/.buildkite/release/test-init.sh @@ -0,0 +1,31 @@ +#!/bin/bash + +set -euo pipefail + +if [[ ${BUILDKITE_COMMIT} == "HEAD" ]]; then + BUILDKITE_COMMIT="$(git rev-parse HEAD)" + export BUILDKITE_COMMIT +fi + +aws ecr get-login-password --region us-west-2 | \ + docker login --username AWS --password-stdin 029272617770.dkr.ecr.us-west-2.amazonaws.com + +bash release/gcloud_docker_login.sh release/aws2gce_iam.json +export PATH="${PWD}/google-cloud-sdk/bin:$PATH" + +if [[ "${AUTOMATIC:-0}" == "1" && "${BUILDKITE_BRANCH}" == "master" ]]; then + export REPORT_TO_RAY_TEST_DB=1 +fi + +RUN_FLAGS=() + +if [[ "${AUTOMATIC:-0}" == "0" || "${BUILDKITE_BRANCH}" == "releases/"* ]]; then + RUN_FLAGS+=(--run-jailed-tests) +fi +if [[ "${BUILDKITE_BRANCH}" != "releases/"* ]]; then + RUN_FLAGS+=(--run-unstable-tests) +fi + +echo "---- Build test steps" +bazelisk run //release:build_pipeline -- "${RUN_FLAGS[@]}" \ + | buildkite-agent pipeline upload diff --git a/.buildkite/release/test.rayci.yml b/.buildkite/release/test.rayci.yml new file mode 100644 index 000000000000..3bd5b4aff514 --- /dev/null +++ b/.buildkite/release/test.rayci.yml @@ -0,0 +1,11 @@ +group: test init +tags: + - oss +steps: + - label: "test init" + key: test-init + instance_type: release-medium + commands: + - /bin/bash .buildkite/release/test-init.sh + mount_buildkite_agent: true + depends_on: forge From 0a4981d2ad37a606a1f877e46718258b226600db Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Fri, 15 Aug 2025 09:34:30 -0700 Subject: [PATCH 0712/1566] [serve] Refactor the router and handle (#55635) ## Why are these changes needed? Refactor Serve deployment handle and router. --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/common.py | 8 + python/ray/serve/_private/handle_options.py | 2 + .../ray/serve/_private/local_testing_mode.py | 7 + python/ray/serve/_private/replica_result.py | 39 +++- .../serve/_private/request_router/common.py | 3 + .../request_router/replica_wrapper.py | 56 ++--- .../_private/request_router/request_router.py | 6 + python/ray/serve/_private/router.py | 215 +++++++++++------- python/ray/serve/handle.py | 13 ++ .../serve/tests/test_actor_replica_wrapper.py | 23 +- .../serve/tests/test_autoscaling_policy.py | 16 +- .../tests/unit/test_local_testing_mode.py | 25 +- .../tests/unit/test_pow_2_request_router.py | 4 +- python/ray/serve/tests/unit/test_router.py | 37 +-- 14 files changed, 285 insertions(+), 169 deletions(-) diff --git a/python/ray/serve/_private/common.py b/python/ray/serve/_private/common.py index 5746e26a56ae..682b186a6d7f 100644 --- a/python/ray/serve/_private/common.py +++ b/python/ray/serve/_private/common.py @@ -746,3 +746,11 @@ class CreatePlacementGroupRequest: target_node_id: str name: str runtime_env: Optional[str] = None + + +# This error is used to raise when a by-value DeploymentResponse is converted to an +# ObjectRef. +OBJ_REF_NOT_SUPPORTED_ERROR = RuntimeError( + "Converting by-value DeploymentResponses to ObjectRefs is not supported. " + "Use handle.options(_by_reference=True) to enable it." +) diff --git a/python/ray/serve/_private/handle_options.py b/python/ray/serve/_private/handle_options.py index ce2c624fce22..86ac4bc78ad2 100644 --- a/python/ray/serve/_private/handle_options.py +++ b/python/ray/serve/_private/handle_options.py @@ -62,6 +62,8 @@ def copy_and_update(self, **kwargs) -> "DynamicHandleOptionsBase": @dataclass(frozen=True) class DynamicHandleOptions(DynamicHandleOptionsBase): + _by_reference: bool = True + def copy_and_update(self, **kwargs) -> "DynamicHandleOptions": new_kwargs = {} diff --git a/python/ray/serve/_private/local_testing_mode.py b/python/ray/serve/_private/local_testing_mode.py index e09ad3ff2097..c43eb4667a75 100644 --- a/python/ray/serve/_private/local_testing_mode.py +++ b/python/ray/serve/_private/local_testing_mode.py @@ -104,6 +104,9 @@ class LocalReplicaResult(ReplicaResult): "Converting DeploymentResponses to ObjectRefs is not supported " "in local testing mode." ) + REJECTION_NOT_SUPPORTED_ERROR = RuntimeError( + "Request rejection is not supported in local testing mode." + ) def __init__( self, @@ -153,6 +156,10 @@ async def async_wrapper(self, *args, **kwargs): else: return wrapper + @_process_response + async def get_rejection_response(self): + raise self.REJECTION_NOT_SUPPORTED_ERROR + @_process_response def get(self, timeout_s: Optional[float]): assert ( diff --git a/python/ray/serve/_private/replica_result.py b/python/ray/serve/_private/replica_result.py index 780b4a44bd45..9deaf00ef774 100644 --- a/python/ray/serve/_private/replica_result.py +++ b/python/ray/serve/_private/replica_result.py @@ -1,5 +1,7 @@ import asyncio import inspect +import logging +import pickle import threading import time from abc import ABC, abstractmethod @@ -7,12 +9,20 @@ from typing import Callable, Coroutine, Optional, Union import ray -from ray.serve._private.common import RequestMetadata +from ray.exceptions import TaskCancelledError +from ray.serve._private.common import ReplicaQueueLengthInfo, RequestMetadata +from ray.serve._private.constants import SERVE_LOGGER_NAME from ray.serve._private.utils import calculate_remaining_timeout, generate_request_id from ray.serve.exceptions import RequestCancelledError +logger = logging.getLogger(SERVE_LOGGER_NAME) + class ReplicaResult(ABC): + @abstractmethod + async def get_rejection_response(self) -> Optional[ReplicaQueueLengthInfo]: + raise NotImplementedError + @abstractmethod def get(self, timeout_s: Optional[float]): raise NotImplementedError @@ -57,6 +67,8 @@ def __init__( self, obj_ref_or_gen: Union[ray.ObjectRef, ray.ObjectRefGenerator], metadata: RequestMetadata, + *, + with_rejection: bool = False, ): self._obj_ref: Optional[ray.ObjectRef] = None self._obj_ref_gen: Optional[ray.ObjectRefGenerator] = None @@ -64,6 +76,8 @@ def __init__( self._request_id: str = metadata.request_id self._object_ref_or_gen_sync_lock = threading.Lock() self._lazy_object_ref_or_gen_asyncio_lock = None + self._with_rejection = with_rejection + self._rejection_response = None if isinstance(obj_ref_or_gen, ray.ObjectRefGenerator): self._obj_ref_gen = obj_ref_or_gen @@ -116,6 +130,29 @@ async def async_wrapper(self, *args, **kwargs): else: return wrapper + @_process_response + async def get_rejection_response(self) -> Optional[ReplicaQueueLengthInfo]: + """Get the queue length info from the replica to handle rejection.""" + assert ( + self._with_rejection and self._obj_ref_gen is not None + ), "get_rejection_response() can only be called when request rejection is enabled." + + try: + if self._rejection_response is None: + response = await (await self._obj_ref_gen.__anext__()) + self._rejection_response = pickle.loads(response) + + return self._rejection_response + except asyncio.CancelledError as e: + # HTTP client disconnected or request was explicitly canceled. + logger.info( + "Cancelling request that has already been assigned to a replica." + ) + self.cancel() + raise e from None + except TaskCancelledError: + raise asyncio.CancelledError() + @_process_response def get(self, timeout_s: Optional[float]): assert ( diff --git a/python/ray/serve/_private/request_router/common.py b/python/ray/serve/_private/request_router/common.py index a58659d11ad2..4653daca2185 100644 --- a/python/ray/serve/_private/request_router/common.py +++ b/python/ray/serve/_private/request_router/common.py @@ -49,6 +49,9 @@ class PendingRequest: ) """Context for request routing, used to track routing attempts and backoff.""" + resolved: bool = False + """Whether the arguments have been resolved.""" + def reset_future(self): """Reset the `asyncio.Future`, must be called if this request is re-used.""" self.future = asyncio.Future() diff --git a/python/ray/serve/_private/request_router/replica_wrapper.py b/python/ray/serve/_private/request_router/replica_wrapper.py index af4fcbe05c7f..d42266c312cf 100644 --- a/python/ray/serve/_private/request_router/replica_wrapper.py +++ b/python/ray/serve/_private/request_router/replica_wrapper.py @@ -1,27 +1,20 @@ import asyncio -import logging import pickle from abc import ABC, abstractmethod -from typing import Any, Dict, Optional, Set, Tuple, Union +from typing import Any, Dict, Optional, Set import ray -from ray import ObjectRef, ObjectRefGenerator from ray.actor import ActorHandle -from ray.exceptions import TaskCancelledError from ray.serve._private.common import ( ReplicaID, - ReplicaQueueLengthInfo, RunningReplicaInfo, ) -from ray.serve._private.constants import SERVE_LOGGER_NAME from ray.serve._private.replica_result import ActorReplicaResult, ReplicaResult from ray.serve._private.request_router.common import PendingRequest from ray.serve._private.utils import JavaActorHandleProxy from ray.serve.generated.serve_pb2 import RequestMetadata as RequestMetadataProto from ray.util.annotations import PublicAPI -logger = logging.getLogger(SERVE_LOGGER_NAME) - class ReplicaWrapper(ABC): """This is used to abstract away details of the transport layer @@ -36,7 +29,7 @@ def send_request_java(self, pr: PendingRequest) -> ReplicaResult: @abstractmethod def send_request_python( self, pr: PendingRequest, *, with_rejection: bool - ) -> Tuple[ReplicaResult, Optional[ReplicaQueueLengthInfo]]: + ) -> ReplicaResult: """Send request to Python replica. If sending request with rejection, the replica will yield a @@ -77,9 +70,9 @@ def send_request_java(self, pr: PendingRequest) -> ActorReplicaResult: pr.metadata, ) - def _send_request_python( + def send_request_python( self, pr: PendingRequest, *, with_rejection: bool - ) -> Union[ObjectRef, ObjectRefGenerator]: + ) -> ActorReplicaResult: """Send the request to a Python replica.""" if with_rejection: # Call a separate handler that may reject the request. @@ -95,29 +88,10 @@ def _send_request_python( else: method = self._actor_handle.handle_request - return method.remote(pickle.dumps(pr.metadata), *pr.args, **pr.kwargs) - - async def send_request_python( - self, pr: PendingRequest, with_rejection: bool - ) -> Tuple[ActorReplicaResult, Optional[ReplicaQueueLengthInfo]]: - obj_ref_gen = self._send_request_python(pr, with_rejection=with_rejection) - - if not with_rejection: - return ActorReplicaResult(obj_ref_gen, pr.metadata), None - - try: - first_ref = await obj_ref_gen.__anext__() - queue_len_info: ReplicaQueueLengthInfo = pickle.loads(await first_ref) - return ActorReplicaResult(obj_ref_gen, pr.metadata), queue_len_info - except asyncio.CancelledError as e: - # HTTP client disconnected or request was explicitly canceled. - logger.info( - "Cancelling request that has already been assigned to a replica." - ) - ray.cancel(obj_ref_gen) - raise e from None - except TaskCancelledError: - raise asyncio.CancelledError() + obj_ref_gen = method.remote(pickle.dumps(pr.metadata), *pr.args, **pr.kwargs) + return ActorReplicaResult( + obj_ref_gen, pr.metadata, with_rejection=with_rejection + ) @PublicAPI(stability="alpha") @@ -196,17 +170,13 @@ async def get_queue_len(self, *, deadline_s: float) -> int: ray.cancel(obj_ref) raise - async def send_request( + def try_send_request( self, pr: PendingRequest, with_rejection: bool - ) -> Tuple[Optional[ReplicaResult], Optional[ReplicaQueueLengthInfo]]: - """Send request to this replica.""" + ) -> ReplicaResult: + """Try to send the request to this replica. It may be rejected.""" wrapper = self._get_replica_wrapper(pr) if self._replica_info.is_cross_language: assert not with_rejection, "Request rejection not supported for Java." - return wrapper.send_request_java(pr), None - - result, queue_len_info = await wrapper.send_request_python(pr, with_rejection) - if queue_len_info and not queue_len_info.accepted: - return None, queue_len_info + return wrapper.send_request_java(pr) - return result, queue_len_info + return wrapper.send_request_python(pr, with_rejection=with_rejection) diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index 11153f58c59a..2d95689d5b41 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -624,6 +624,12 @@ def on_new_queue_len_info( replica_id, queue_len_info.num_ongoing_requests ) + def on_send_request(self, replica_id: ReplicaID): + """Increment queue length cache when a request is sent to a replica.""" + if self._use_replica_queue_len_cache: + num_ongoing_requests = self._replica_queue_len_cache.get(replica_id) or 0 + self._replica_queue_len_cache.update(replica_id, num_ongoing_requests + 1) + def update_replicas(self, replicas: List[RunningReplica]): """Update the set of available replicas to be considered for routing. diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index ad4f67a117b7..82f90674184b 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -18,7 +18,6 @@ Dict, List, Optional, - Tuple, Union, ) @@ -174,9 +173,21 @@ def wrap_request_assignment(self, request_meta: RequestMetadata): logger.warning(e.message) raise e + self.inc_num_total_requests(request_meta.route) + yield + + @contextmanager + def wrap_queued_request(self, is_retry: bool, num_curr_replicas: int): + """Increment queued requests gauge and maybe push autoscaling metrics to controller.""" try: - self.inc_num_total_requests(request_meta.route) self.inc_num_queued_requests() + # Optimization: if there are currently zero replicas for a deployment, + # push handle metric to controller to allow for fast cold start time. + # Only do this on the first attempt to route the request. + if not is_retry and self.should_send_scaled_to_zero_optimized_push( + curr_num_replicas=num_curr_replicas + ): + self.push_autoscaling_metrics_to_controller() yield finally: @@ -571,25 +582,26 @@ def update_deployment_config(self, deployment_config: DeploymentConfig): async def _resolve_request_arguments( self, - request_metadata: RequestMetadata, - request_args: Tuple[Any], - request_kwargs: Dict[str, Any], - ) -> Tuple[Tuple[Any], Dict[str, Any]]: + pr: PendingRequest, + ) -> None: """Asynchronously resolve and replace top-level request args and kwargs.""" - new_args = list(request_args) - new_kwargs = request_kwargs.copy() + if pr.resolved: + return + + new_args = list(pr.args) + new_kwargs = pr.kwargs.copy() # Map from index -> task for resolving positional arg resolve_arg_tasks = {} - for i, obj in enumerate(request_args): - task = await self._resolve_request_arg_func(obj, request_metadata) + for i, obj in enumerate(pr.args): + task = await self._resolve_request_arg_func(obj, pr.metadata) if task is not None: resolve_arg_tasks[i] = task # Map from key -> task for resolving key-word arg resolve_kwarg_tasks = {} - for k, obj in request_kwargs.items(): - task = await self._resolve_request_arg_func(obj, request_metadata) + for k, obj in pr.kwargs.items(): + task = await self._resolve_request_arg_func(obj, pr.metadata) if task is not None: resolve_kwarg_tasks[k] = task @@ -606,8 +618,9 @@ async def _resolve_request_arguments( for key, task in resolve_kwarg_tasks.items(): new_kwargs[key] = task.result() - # Return new args and new kwargs - return new_args, new_kwargs + pr.args = new_args + pr.kwargs = new_kwargs + pr.resolved = True def _process_finished_request( self, @@ -639,9 +652,99 @@ def _process_finished_request( f"Request failed because {replica_id} is temporarily unavailable." ) + async def _route_and_send_request_once( + self, + pr: PendingRequest, + response_id: str, + is_retry: bool, + ) -> Optional[ReplicaResult]: + result: Optional[ReplicaResult] = None + replica: Optional[RunningReplica] = None + try: + num_curr_replicas = len(self.request_router.curr_replicas) + with self._metrics_manager.wrap_queued_request(is_retry, num_curr_replicas): + # If the pending request is uninitialized, we do so by resolving the + # request arguments. This should only be done once per request, and + # should happen after incrementing `num_queued_requests`, so that Serve + # can upscale the downstream deployment while arguments are resolving. + if not pr.resolved: + await self._resolve_request_arguments(pr) + + replica = await self.request_router._choose_replica_for_request( + pr, is_retry=is_retry + ) + + # If the queue len cache is disabled or we're sending a request to Java, + # then directly send the query and hand the response back. The replica will + # never reject requests in this code path. + with_rejection = ( + self._enable_strict_max_ongoing_requests + and not replica.is_cross_language + ) + result = replica.try_send_request(pr, with_rejection=with_rejection) + + # Proactively update the queue length cache. + self.request_router.on_send_request(replica.replica_id) + + # Keep track of requests that have been sent out to replicas + if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: + _request_context = ray.serve.context._get_serve_request_context() + request_id: str = _request_context.request_id + self._metrics_manager.inc_num_running_requests_for_replica( + replica.replica_id + ) + callback = partial( + self._process_finished_request, + replica.replica_id, + request_id, + response_id, + ) + result.add_done_callback(callback) + + if not with_rejection: + return result + + queue_info = await result.get_rejection_response() + self.request_router.on_new_queue_len_info(replica.replica_id, queue_info) + if queue_info.accepted: + self.request_router.on_request_routed(pr, replica.replica_id, result) + return result + + except asyncio.CancelledError: + # NOTE(edoakes): this is not strictly necessary because there are + # currently no `await` statements between getting the ref and returning, + # but I'm adding it defensively. + if result is not None: + result.cancel() + + raise + except ActorDiedError: + # Replica has died but controller hasn't notified the router yet. + # Don't consider this replica for requests in the future, and retry + # routing request. + if replica is not None: + self.request_router.on_replica_actor_died(replica.replica_id) + logger.warning( + f"{replica.replica_id} will not be considered for future " + "requests because it has died." + ) + except ActorUnavailableError: + # There are network issues, or replica has died but GCS is down so + # ActorUnavailableError will be raised until GCS recovers. For the + # time being, invalidate the cache entry so that we don't try to + # send requests to this replica without actively probing, and retry + # routing request. + if replica is not None: + self.request_router.on_replica_actor_unavailable(replica.replica_id) + logger.warning(f"{replica.replica_id} is temporarily unavailable.") + + return None + async def route_and_send_request( - self, pr: PendingRequest - ) -> Tuple[ReplicaResult, ReplicaID]: + self, + pr: PendingRequest, + response_id: str, + ) -> ReplicaResult: """Choose a replica for the request and send it. This will block indefinitely if no replicas are available to handle the @@ -650,54 +753,21 @@ async def route_and_send_request( # Wait for the router to be initialized before sending the request. await self._request_router_initialized.wait() - r = await self.request_router._choose_replica_for_request(pr) - - # If the queue len cache is disabled or we're sending a request to Java, - # then directly send the query and hand the response back. The replica will - # never reject requests in this code path. - if not self._enable_strict_max_ongoing_requests or r.is_cross_language: - result, _ = await r.send_request(pr, with_rejection=False) - return result, r.replica_id - + is_retry = False while True: - result = None - try: - result, queue_info = await r.send_request(pr, with_rejection=True) - self.request_router.on_new_queue_len_info(r.replica_id, queue_info) - if queue_info.accepted: - self.request_router.on_request_routed(pr, r.replica_id, result) - return result, r.replica_id - except asyncio.CancelledError: - # NOTE(edoakes): this is not strictly necessary because there are - # currently no `await` statements between getting the ref and returning, - # but I'm adding it defensively. - if result is not None: - result.cancel() - - raise - except ActorDiedError: - # Replica has died but controller hasn't notified the router yet. - # Don't consider this replica for requests in the future, and retry - # routing request. - self.request_router.on_replica_actor_died(r.replica_id) - logger.warning( - f"{r.replica_id} will not be considered for future " - "requests because it has died." - ) - except ActorUnavailableError: - # There are network issues, or replica has died but GCS is down so - # ActorUnavailableError will be raised until GCS recovers. For the - # time being, invalidate the cache entry so that we don't try to - # send requests to this replica without actively probing, and retry - # routing request. - self.request_router.on_replica_actor_unavailable(r.replica_id) - logger.warning(f"{r.replica_id} is temporarily unavailable.") + result = await self._route_and_send_request_once( + pr, + response_id, + is_retry, + ) + if result is not None: + return result # If the replica rejects the request, retry the routing process. The # request will be placed on the front of the queue to avoid tail latencies. # TODO(edoakes): this retry procedure is not perfect because it'll reset the # process of choosing candidates replicas (i.e., for locality-awareness). - r = await self.request_router._choose_replica_for_request(pr, is_retry=True) + is_retry = True async def assign_request( self, @@ -725,41 +795,16 @@ async def assign_request( await self._request_router_initialized.wait() with self._metrics_manager.wrap_request_assignment(request_meta): - # Optimization: if there are currently zero replicas for a deployment, - # push handle metric to controller to allow for fast cold start time. - if self._metrics_manager.should_send_scaled_to_zero_optimized_push( - curr_num_replicas=len(self.request_router.curr_replicas) - ): - self._metrics_manager.push_autoscaling_metrics_to_controller() - replica_result = None try: - request_args, request_kwargs = await self._resolve_request_arguments( - request_meta, request_args, request_kwargs - ) - replica_result, replica_id = await self.route_and_send_request( + replica_result = await self.route_and_send_request( PendingRequest( args=list(request_args), kwargs=request_kwargs, metadata=request_meta, ), + response_id, ) - - # Keep track of requests that have been sent out to replicas - if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - _request_context = ray.serve.context._get_serve_request_context() - request_id: str = _request_context.request_id - self._metrics_manager.inc_num_running_requests_for_replica( - replica_id - ) - callback = partial( - self._process_finished_request, - replica_id, - request_id, - response_id, - ) - replica_result.add_done_callback(callback) - return replica_result except asyncio.CancelledError: # NOTE(edoakes): this is not strictly necessary because diff --git a/python/ray/serve/handle.py b/python/ray/serve/handle.py index f95e593655e9..5356a18db2de 100644 --- a/python/ray/serve/handle.py +++ b/python/ray/serve/handle.py @@ -9,6 +9,7 @@ from ray import serve from ray._raylet import ObjectRefGenerator from ray.serve._private.common import ( + OBJ_REF_NOT_SUPPORTED_ERROR, DeploymentHandleSource, DeploymentID, RequestMetadata, @@ -499,6 +500,9 @@ async def _to_object_ref(self) -> ray.ObjectRef: ServeUsageTag.DEPLOYMENT_HANDLE_TO_OBJECT_REF_API_USED.record("1") + if not self._request_metadata._by_reference: + raise OBJ_REF_NOT_SUPPORTED_ERROR + replica_result = await self._fetch_future_result_async() return await replica_result.to_object_ref_async() @@ -523,6 +527,9 @@ def _to_object_ref_sync( ServeUsageTag.DEPLOYMENT_HANDLE_TO_OBJECT_REF_API_USED.record("1") + if not self._request_metadata._by_reference: + raise OBJ_REF_NOT_SUPPORTED_ERROR + if not _allow_running_in_asyncio_loop and is_running_in_asyncio_loop(): raise RuntimeError( "Sync methods should not be called from within an `asyncio` event " @@ -640,6 +647,9 @@ async def _to_object_ref_gen(self) -> ObjectRefGenerator: ServeUsageTag.DEPLOYMENT_HANDLE_TO_OBJECT_REF_API_USED.record("1") + if not self._request_metadata._by_reference: + raise OBJ_REF_NOT_SUPPORTED_ERROR + replica_result = await self._fetch_future_result_async() return replica_result.to_object_ref_gen() @@ -661,6 +671,9 @@ def _to_object_ref_gen_sync( ServeUsageTag.DEPLOYMENT_HANDLE_TO_OBJECT_REF_API_USED.record("1") + if not self._request_metadata._by_reference: + raise OBJ_REF_NOT_SUPPORTED_ERROR + if not _allow_running_in_asyncio_loop and is_running_in_asyncio_loop(): raise RuntimeError( "Sync methods should not be called from within an `asyncio` event " diff --git a/python/ray/serve/tests/test_actor_replica_wrapper.py b/python/ray/serve/tests/test_actor_replica_wrapper.py index f0bd3041e275..19b6957cf35a 100644 --- a/python/ray/serve/tests/test_actor_replica_wrapper.py +++ b/python/ray/serve/tests/test_actor_replica_wrapper.py @@ -69,6 +69,8 @@ async def handle_request_with_rejection( async with send_signal_on_cancellation(cancelled_signal_actor): await executing_signal_actor.send.remote() + return + # Special case: if "raise_task_cancelled_error" is in kwargs, raise TaskCancelledError # This simulates the scenario where the underlying Ray task gets cancelled if kwargs.pop("raise_task_cancelled_error", False): @@ -116,7 +118,7 @@ async def test_send_request_without_rejection(setup_fake_replica, is_streaming: is_streaming=is_streaming, ), ) - replica_result, _ = await replica.send_request(pr, with_rejection=False) + replica_result = replica.try_send_request(pr, with_rejection=False) if is_streaming: assert isinstance(replica_result.to_object_ref_gen(), ObjectRefGenerator) for i in range(5): @@ -150,11 +152,12 @@ async def test_send_request_with_rejection( is_streaming=is_streaming, ), ) - replica_result, info = await replica.send_request(pr, with_rejection=True) + replica_result = replica.try_send_request(pr, with_rejection=True) + info = await replica_result.get_rejection_response() assert info.accepted == accepted assert info.num_ongoing_requests == 10 if not accepted: - assert replica_result is None + pass elif is_streaming: assert isinstance(replica_result.to_object_ref_gen(), ObjectRefGenerator) for i in range(5): @@ -190,21 +193,22 @@ async def test_send_request_with_rejection_cancellation(setup_fake_replica): # Send request should hang because the downstream actor method call blocks # before sending the system message. - send_request_task = get_or_create_event_loop().create_task( - replica.send_request(pr, with_rejection=True) + replica_result = replica.try_send_request(pr, with_rejection=True) + request_task = get_or_create_event_loop().create_task( + replica_result.get_rejection_response() ) # Check that the downstream actor method call has started. await executing_signal_actor.wait.remote() - _, pending = await asyncio.wait([send_request_task], timeout=0.001) + _, pending = await asyncio.wait([request_task], timeout=0.001) assert len(pending) == 1 # Cancel the task. This should cause the downstream actor method call to # be cancelled (verified via signal actor). - send_request_task.cancel() + request_task.cancel() with pytest.raises(asyncio.CancelledError): - await send_request_task + await request_task await cancelled_signal_actor.wait.remote() @@ -237,8 +241,9 @@ async def test_send_request_with_rejection_task_cancelled_error(setup_fake_repli ) # The TaskCancelledError should be caught and converted to asyncio.CancelledError + replica_result = replica.try_send_request(pr, with_rejection=True) with pytest.raises(asyncio.CancelledError): - await replica.send_request(pr, with_rejection=True) + await replica_result.get_rejection_response() if __name__ == "__main__": diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 32b66f6c305b..b3bbe85b06e8 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -411,8 +411,8 @@ def test_e2e_scale_up_down_basic(min_replicas, serve_instance_with_signal): max_ongoing_requests=1000, ) class A: - def __call__(self): - ray.get(signal.wait.remote()) + async def __call__(self): + await signal.wait.remote() handle = serve.run(A.bind()) wait_for_condition( @@ -598,8 +598,8 @@ class A: def __init__(self): logging.getLogger("ray.serve").setLevel(logging.ERROR) - def __call__(self): - ray.get(signal.wait.remote()) + async def __call__(self): + await signal.wait.remote() handle = serve.run(A.bind()) wait_for_condition( @@ -662,8 +662,8 @@ def test_e2e_intermediate_downscaling(serve_instance_with_signal): max_ongoing_requests=1000, ) class A: - def __call__(self): - ray.get(signal.wait.remote()) + async def __call__(self): + await signal.wait.remote() handle = serve.run(A.bind()) wait_for_condition( @@ -1047,9 +1047,9 @@ def test_e2e_preserve_prev_replicas_rest_api(serve_instance_with_signal): import os @serve.deployment -def g(): +async def g(): signal = ray.get_actor("signal123") - ray.get(signal.wait.remote()) + await signal.wait.remote() return os.getpid() diff --git a/python/ray/serve/tests/unit/test_local_testing_mode.py b/python/ray/serve/tests/unit/test_local_testing_mode.py index bc5eae880864..d0ac157693fb 100644 --- a/python/ray/serve/tests/unit/test_local_testing_mode.py +++ b/python/ray/serve/tests/unit/test_local_testing_mode.py @@ -1,5 +1,6 @@ import logging import os +import re import sys import pytest @@ -57,6 +58,18 @@ def __init__(self, h: DeploymentHandle, should_raise: bool): def test_to_object_ref_error_message(): + def _get_error_match(by_reference: bool) -> str: + if by_reference: + return ( + "Converting DeploymentResponses to ObjectRefs " + "is not supported in local testing mode." + ) + else: + return re.escape( + "Converting by-value DeploymentResponses to ObjectRefs is not supported. " + "Use handle.options(_by_reference=True) to enable it." + ) + @serve.deployment class Inner: pass @@ -67,22 +80,18 @@ def __init__(self, h: DeploymentHandle): self._h = h async def __call__(self): + match = _get_error_match(self._h.handle_options._by_reference) with pytest.raises( RuntimeError, - match=( - "Converting DeploymentResponses to ObjectRefs " - "is not supported in local testing mode." - ), + match=match, ): await self._h.remote()._to_object_ref() h = serve.run(Outer.bind(Inner.bind()), _local_testing_mode=True) + match = _get_error_match(h.handle_options._by_reference) with pytest.raises( RuntimeError, - match=( - "Converting DeploymentResponses to ObjectRefs " - "is not supported in local testing mode." - ), + match=match, ): h.remote()._to_object_ref_sync() diff --git a/python/ray/serve/tests/unit/test_pow_2_request_router.py b/python/ray/serve/tests/unit/test_pow_2_request_router.py index cef2801833f8..54ac8d612202 100644 --- a/python/ray/serve/tests/unit/test_pow_2_request_router.py +++ b/python/ray/serve/tests/unit/test_pow_2_request_router.py @@ -119,7 +119,9 @@ async def get_queue_len(self, *, deadline_s: float) -> int: self.get_queue_len_was_cancelled = True raise - def send_request(self, pr: PendingRequest) -> ReplicaResult: + def try_send_request( + self, pr: PendingRequest, with_rejection: bool + ) -> ReplicaResult: raise NotImplementedError() def send_request_with_rejection(self, pr: PendingRequest) -> ReplicaResult: diff --git a/python/ray/serve/tests/unit/test_router.py b/python/ray/serve/tests/unit/test_router.py index 9017efd18c73..6e8949b1e11b 100644 --- a/python/ray/serve/tests/unit/test_router.py +++ b/python/ray/serve/tests/unit/test_router.py @@ -43,11 +43,20 @@ class FakeReplicaResult(ReplicaResult): - def __init__(self, replica_id, is_generator_object: bool): + def __init__( + self, + replica_id, + is_generator_object: bool, + queue_len_info: Optional[ReplicaQueueLengthInfo] = None, + ): self._replica_id = replica_id self._is_generator_object = is_generator_object + self._queue_len_info = queue_len_info self.cancelled = False + async def get_rejection_response(self): + return self._queue_len_info + def get(self, timeout_s: Optional[float]): raise NotImplementedError @@ -101,9 +110,9 @@ def is_cross_language(self) -> bool: def get_queue_len(self, *, deadline_s: float) -> int: raise NotImplementedError - async def send_request( + def try_send_request( self, pr: PendingRequest, with_rejection: bool - ) -> Tuple[Optional[FakeReplicaResult], Optional[ReplicaQueueLengthInfo]]: + ) -> FakeReplicaResult: if with_rejection: if self._error: raise self._error @@ -115,21 +124,16 @@ async def send_request( self._queue_len_info is not None ), "Must set queue_len_info to use `send_request_with_rejection`." - return ( - FakeReplicaResult(self._replica_id, is_generator_object=True), - self._queue_len_info, + return FakeReplicaResult( + self._replica_id, + is_generator_object=True, + queue_len_info=self._queue_len_info, ) else: if pr.metadata.is_streaming: - return ( - FakeReplicaResult(self._replica_id, is_generator_object=True), - None, - ) + return FakeReplicaResult(self._replica_id, is_generator_object=True) else: - return ( - FakeReplicaResult(self._replica_id, is_generator_object=False), - None, - ) + return FakeReplicaResult(self._replica_id, is_generator_object=False) class FakeRequestRouter(RequestRouter): @@ -180,6 +184,11 @@ def on_new_queue_len_info( replica_id, queue_len_info.num_ongoing_requests ) + def on_send_request(self, replica_id: ReplicaID): + if self._use_queue_len_cache: + num_ongoing_requests = self._replica_queue_len_cache.get(replica_id) or 0 + self._replica_queue_len_cache.update(replica_id, num_ongoing_requests + 1) + def on_replica_actor_unavailable(self, replica_id: ReplicaID): self._replica_queue_len_cache.invalidate_key(replica_id) From 23522c7123038e6d6701ed97ea80fcb49da9d75e Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Fri, 15 Aug 2025 18:42:41 +0200 Subject: [PATCH 0713/1566] [serve] Add a function with a Warning to migrate constants that use `or` expression. (#55464) ## Why are these changes needed? In the `serve` package some of the constants which are initialized from environment variables are silently replaced empty values as `0` with their default values even if a user set them to `0` explicitly. In addition, they are also can be set to negative values which is likely not expected. The list of the constants: ``` PROXY_HEALTH_CHECK_TIMEOUT_S PROXY_HEALTH_CHECK_PERIOD_S PROXY_READY_CHECK_TIMEOUT_S PROXY_MIN_DRAINING_PERIOD_S -- RAY_SERVE_KV_TIMEOUT_S ``` It happens because of the `or value` structure. This PR introduces: - temporary function `get_env_float_non_zero_with_warning` with `FutureWarning`. The function is showing a warning in the following format in case of unexpected value: ``` FutureWarning: Got unexpected value `0.0` for `RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S` environment variable! Starting from version `2.50.0`, the environment variable will require a positive value. Setting `RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S` to `10.0`. PROXY_HEALTH_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( -- or FutureWarning: Got unexpected value `-1.0` for `RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S` environment variable! Starting from version `2.50.0`, the environment variable will require a positive value. Setting `RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S` to `-1.0`. PROXY_HEALTH_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( -- or FutureWarning: Got unexpected value `0.0` for `RAY_SERVE_KV_TIMEOUT_S` environment variable! Starting from version `2.50.0`, the environment variable will require a positive value. Setting `RAY_SERVE_KV_TIMEOUT_S` to `None`. RAY_SERVE_KV_TIMEOUT_S = get_env_float_non_zero_with_warning( ``` If the input value is positive, no warning will be emit. - `None` default value support for env variables (introduced for the `RAY_SERVE_KV_TIMEOUT_S`) - `todo` comment for removing the function: `todo: replace this function with 'get_env_float_positive' for the '2.50.0' release.` ## Related issue number Closes #55454 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: axreldable Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 21 +-- python/ray/serve/_private/constants_utils.py | 77 ++++++++--- .../serve/tests/unit/test_constants_utils.py | 126 +++++++++++++++--- 3 files changed, 182 insertions(+), 42 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index e6aaac1f62ad..dd46f0c6c20c 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -4,6 +4,7 @@ get_env_bool, get_env_float, get_env_float_non_negative, + get_env_float_non_zero_with_warning, get_env_int, get_env_int_positive, get_env_str, @@ -131,15 +132,15 @@ DEFAULT_TARGET_ONGOING_REQUESTS = 2 # HTTP Proxy health check configs -PROXY_HEALTH_CHECK_TIMEOUT_S = ( - get_env_float("RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", 10.0) or 10.0 +PROXY_HEALTH_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( + "RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", 10.0 ) -PROXY_HEALTH_CHECK_PERIOD_S = ( - get_env_float("RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S", 10.0) or 10.0 +PROXY_HEALTH_CHECK_PERIOD_S = get_env_float_non_zero_with_warning( + "RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S", 10.0 ) -PROXY_READY_CHECK_TIMEOUT_S = ( - get_env_float("RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S", 5.0) or 5.0 +PROXY_READY_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( + "RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S", 5.0 ) # Number of times in a row that a HTTP proxy must fail the health check before @@ -147,8 +148,8 @@ PROXY_HEALTH_CHECK_UNHEALTHY_THRESHOLD = 3 # The minimum drain period for a HTTP proxy. -PROXY_MIN_DRAINING_PERIOD_S = ( - get_env_float("RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", 30.0) or 30.0 +PROXY_MIN_DRAINING_PERIOD_S = get_env_float_non_zero_with_warning( + "RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", 30.0 ) # The time in seconds that the http proxy state waits before # rechecking whether the proxy actor is drained or not. @@ -166,7 +167,9 @@ CLIENT_CHECK_CREATION_POLLING_INTERVAL_S = 0.1 # Timeout for GCS internal KV service -RAY_SERVE_KV_TIMEOUT_S = get_env_float("RAY_SERVE_KV_TIMEOUT_S", 0.0) or None +RAY_SERVE_KV_TIMEOUT_S = get_env_float_non_zero_with_warning( + "RAY_SERVE_KV_TIMEOUT_S", None +) # Timeout for GCS RPC request RAY_GCS_RPC_TIMEOUT_S = 3.0 diff --git a/python/ray/serve/_private/constants_utils.py b/python/ray/serve/_private/constants_utils.py index d06790701930..0ac97ab3eabd 100644 --- a/python/ray/serve/_private/constants_utils.py +++ b/python/ray/serve/_private/constants_utils.py @@ -1,4 +1,5 @@ import os +import warnings from typing import Callable, List, Optional, Type, TypeVar @@ -49,27 +50,38 @@ def parse_latency_buckets(bucket_str: str, default_buckets: List[float]) -> List def _get_env_value( name: str, - default: T, + default: Optional[T], value_type: Type[T], - value_requirement: Optional[Callable[[T], bool]] = None, - error_message: str = None, -) -> T: + validation_func: Optional[Callable[[T], bool]] = None, + expected_value_description: str = None, +) -> Optional[T]: """Get environment variable with type conversion and validation. + This function retrieves an environment variable, converts it to the specified type, + and optionally validates the converted value. + Args: name: The name of the environment variable. default: Default value to use if the environment variable is not set. - value_type: Type to convert the environment variable value to. - value_requirement: Optional function to validate the converted value. - error_message: Error message description for validation failures. + If None, the function will return None without validation. + value_type: Type to convert the environment variable value to (e.g., int, float, str). + validation_func: Optional function that takes the converted value and returns + a boolean indicating whether the value is valid. + expected_value_description: Description of the expected value characteristics + (e.g., "positive", "non negative") used in error messages. Returns: - The converted and validated environment variable value. + The environment variable value converted to the specified type and validated, + or the default value if the environment variable is not set. Raises: - ValueError: If type conversion fails or validation fails. + ValueError: If the environment variable value cannot be converted to the specified + type, or if it fails the optional validation check. """ raw = os.environ.get(name, default) + if raw is None: + return None + try: value = value_type(raw) except ValueError as e: @@ -77,15 +89,16 @@ def _get_env_value( f"Environment variable `{name}` value `{raw}` cannot be converted to `{value_type.__name__}`!" ) from e - if value_requirement and not value_requirement(value): + if validation_func and not validation_func(value): raise ValueError( - f"Got unexpected value `{value}` for `{name}` environment variable! Expected {error_message} `{value_type.__name__}`." + f"Got unexpected value `{value}` for `{name}` environment variable! " + f"Expected {expected_value_description} `{value_type.__name__}`." ) return value -def get_env_int(name: str, default: int) -> int: +def get_env_int(name: str, default: Optional[int]) -> Optional[int]: """Get environment variable as an integer. Args: @@ -101,7 +114,7 @@ def get_env_int(name: str, default: int) -> int: return _get_env_value(name, default, int) -def get_env_int_positive(name: str, default: int) -> int: +def get_env_int_positive(name: str, default: Optional[int]) -> Optional[int]: """Get environment variable as a positive integer. Args: @@ -117,7 +130,7 @@ def get_env_int_positive(name: str, default: int) -> int: return _get_env_value(name, default, int, lambda x: x > 0, "positive") -def get_env_int_non_negative(name: str, default: int) -> int: +def get_env_int_non_negative(name: str, default: Optional[int]) -> Optional[int]: """Get environment variable as a non-negative integer. Args: @@ -133,7 +146,7 @@ def get_env_int_non_negative(name: str, default: int) -> int: return _get_env_value(name, default, int, lambda x: x >= 0, "non negative") -def get_env_float(name: str, default: float) -> float: +def get_env_float(name: str, default: Optional[float]) -> Optional[float]: """Get environment variable as a float. Args: @@ -149,7 +162,7 @@ def get_env_float(name: str, default: float) -> float: return _get_env_value(name, default, float) -def get_env_float_positive(name: str, default: float) -> float: +def get_env_float_positive(name: str, default: Optional[float]) -> Optional[float]: """Get environment variable as a positive float. Args: @@ -165,7 +178,7 @@ def get_env_float_positive(name: str, default: float) -> float: return _get_env_value(name, default, float, lambda x: x > 0, "positive") -def get_env_float_non_negative(name: str, default: float) -> float: +def get_env_float_non_negative(name: str, default: Optional[float]) -> Optional[float]: """Get environment variable as a non-negative float. Args: @@ -207,3 +220,33 @@ def get_env_bool(name: str, default: Optional[str]) -> bool: True if the environment variable value is "1", False otherwise. """ return os.environ.get(name, default) == "1" + + +def get_env_float_non_zero_with_warning( + name: str, default: Optional[float] +) -> Optional[float]: + """Introduced for backward compatibility for constants: + + PROXY_HEALTH_CHECK_TIMEOUT_S + PROXY_HEALTH_CHECK_PERIOD_S + PROXY_READY_CHECK_TIMEOUT_S + PROXY_MIN_DRAINING_PERIOD_S + RAY_SERVE_KV_TIMEOUT_S + + todo: replace this function with 'get_env_float_positive' for the '2.50.0' release. + """ + removal_version = "2.50.0" + + env_value = get_env_float(name, default) + backward_compatible_result = env_value or default + + if env_value is not None and env_value <= 0: + # warning message if unexpected value + warnings.warn( + f"Got unexpected value `{env_value}` for `{name}` environment variable! " + f"Starting from version `{removal_version}`, the environment variable will require a positive value. " + f"Setting `{name}` to `{backward_compatible_result}`. ", + FutureWarning, + stacklevel=2, + ) + return backward_compatible_result diff --git a/python/ray/serve/tests/unit/test_constants_utils.py b/python/ray/serve/tests/unit/test_constants_utils.py index 3051d29b3c6b..96bcbcbd05e6 100644 --- a/python/ray/serve/tests/unit/test_constants_utils.py +++ b/python/ray/serve/tests/unit/test_constants_utils.py @@ -2,11 +2,13 @@ from unittest.mock import patch import pytest +from testfixtures import mock from ray.serve._private.constants_utils import ( get_env_bool, get_env_float, get_env_float_non_negative, + get_env_float_non_zero_with_warning, get_env_float_positive, get_env_int, get_env_int_non_negative, @@ -95,13 +97,13 @@ def mock_environ(): class TestEnvValueFunctions: def test_get_env_int(self, mock_environ): - assert 0 == get_env_int("TEST_VAR", 0) + assert get_env_int("TEST_VAR", 0) == 0 mock_environ["TEST_VAR"] = "42" - assert 42 == get_env_int("TEST_VAR", 0) + assert get_env_int("TEST_VAR", 0) == 42 mock_environ["TEST_VAR"] = "-1" - assert -1 == get_env_int("TEST_VAR", 0) + assert get_env_int("TEST_VAR", 0) == -1 mock_environ["TEST_VAR"] = "0.1" with pytest.raises(ValueError, match=".*`0.1` cannot be converted to `int`!*"): @@ -112,34 +114,37 @@ def test_get_env_int(self, mock_environ): get_env_int_positive("TEST_VAR", 5) def test_get_env_int_positive(self, mock_environ): - assert 1 == get_env_int_positive("TEST_VAR", 1) + assert get_env_int_positive("TEST_VAR", 1) == 1 mock_environ["TEST_VAR"] = "42" - assert 42 == get_env_int_positive("TEST_VAR", 0) + assert get_env_int_positive("TEST_VAR", 1) == 42 mock_environ["TEST_VAR"] = "-1" with pytest.raises(ValueError, match=".*Expected positive `int`.*"): get_env_int_positive("TEST_VAR", 5) def test_get_env_int_non_negative(self, mock_environ): - assert 0 == get_env_int_non_negative("TEST_VAR", 0) - assert 1 == get_env_int_non_negative("TEST_VAR", 1) + assert get_env_int_non_negative("TEST_VAR", 0) == 0 + assert get_env_int_non_negative("TEST_VAR", 1) == 1 mock_environ["TEST_VAR"] = "42" - assert 42 == get_env_int_non_negative("TEST_VAR", 0) + assert get_env_int_non_negative("TEST_VAR", 0) == 42 mock_environ["TEST_VAR"] = "-1" with pytest.raises(ValueError, match=".*Expected non negative `int`.*"): get_env_int_non_negative("TEST_VAR", 5) + with pytest.raises(ValueError, match=".*Expected non negative `int`.*"): + get_env_int_non_negative("TEST_VAR_FROM_DEFAULT", -1) + def test_get_env_float(self, mock_environ): - assert 0.0 == get_env_float("TEST_VAR", 0.0) + assert get_env_float("TEST_VAR", 0.0) == 0.0 mock_environ["TEST_VAR"] = "3.14" - assert 3.14 == get_env_float("TEST_VAR", 0.0) + assert get_env_float("TEST_VAR", 0.0) == 3.14 mock_environ["TEST_VAR"] = "-2.5" - assert -2.5 == get_env_float("TEST_VAR", 0.0) + assert get_env_float("TEST_VAR", 0.0) == -2.5 mock_environ["TEST_VAR"] = "abc" with pytest.raises( @@ -148,21 +153,28 @@ def test_get_env_float(self, mock_environ): get_env_float("TEST_VAR", 0.0) def test_get_env_float_positive(self, mock_environ): - assert 1.5 == get_env_float_positive("TEST_VAR", 1.5) + assert get_env_float_positive("TEST_VAR", 1.5) == 1.5 + assert get_env_float_positive("TEST_VAR", None) is None mock_environ["TEST_VAR"] = "42.5" - assert 42.5 == get_env_float_positive("TEST_VAR", 0.0) + assert get_env_float_positive("TEST_VAR", 1.0) == 42.5 mock_environ["TEST_VAR"] = "-1.2" with pytest.raises(ValueError, match=".*Expected positive `float`.*"): get_env_float_positive("TEST_VAR", 5.0) + with pytest.raises(ValueError, match=".*Expected positive `float`.*"): + get_env_float_positive("TEST_VAR_FROM_DEFAULT", 0.0) + + with pytest.raises(ValueError, match=".*Expected positive `float`.*"): + get_env_float_positive("TEST_VAR_FROM_DEFAULT", -1) + def test_get_env_float_non_negative(self, mock_environ): - assert 0.0 == get_env_float_non_negative("TEST_VAR", 0.0) - assert 1.5 == get_env_float_non_negative("TEST_VAR", 1.5) + assert get_env_float_non_negative("TEST_VAR", 0.0) == 0.0 + assert get_env_float_non_negative("TEST_VAR", 1.5) == 1.5 mock_environ["TEST_VAR"] = "42.5" - assert 42.5 == get_env_float_non_negative("TEST_VAR", 0.0) + assert get_env_float_non_negative("TEST_VAR", 0.0) == 42.5 mock_environ["TEST_VAR"] = "-1.2" with pytest.raises(ValueError, match=".*Expected non negative `float`.*"): @@ -191,6 +203,88 @@ def test_get_env_bool(self, mock_environ): assert get_env_bool("NONEXISTENT_VAR", "0") is False +class TestDeprecationFunctions: + def test_current_behavior(self, mock_environ): + mock_environ["OLD_VAR_NEG"] = "-1" + assert get_env_float("OLD_VAR_NEG", 10.0) or 10.0 == -1.0 + assert (get_env_float("OLD_VAR_NEG", 0.0) or None) == -1.0 + + mock_environ["OLD_VAR_ZERO"] = "0" + assert get_env_float("OLD_VAR_ZERO", 10.0) or 10.0 == 10.0 + + assert get_env_float("NOT_SET", 10.0) or 10.0 == 10.0 + + assert (get_env_float("NOT_SET", 0.0) or None) is None + + @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 + def test_with_positive_value_before_250(self, mock_environ): + env_name = "TEST_POSITIVE_FLOAT" + mock_environ[env_name] = "5.5" + + result = get_env_float_non_zero_with_warning(env_name, 10.0) + + assert result == 5.5 + + @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 + def test_with_non_positive_value_before_250(self, mock_environ): + env_name = "TEST_NON_POSITIVE_FLOAT" + mock_environ[env_name] = "-2.5" + + with pytest.warns(FutureWarning) as record: + result = get_env_float_non_zero_with_warning(env_name, 10.0) + + assert result == -2.5 + assert len(record) == 1 + assert "will require a positive value" in str(record[0].message) + + @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 + def test_with_zero_value_before_250(self, mock_environ): + env_name = "TEST_ZERO_FLOAT" + mock_environ[env_name] = "0.0" + + with pytest.warns(FutureWarning) as record: + result = get_env_float_non_zero_with_warning(env_name, 10.0) + + assert result == 10.0 + assert len(record) == 1 + assert "will require a positive value" in str(record[0].message) + + @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 + def test_with_no_env_value_before_250(self): + env_name = "TEST_MISSING_FLOAT" + # Don't set environment variable + + result = get_env_float_non_zero_with_warning(env_name, 1.0) + + assert result == 1.0 + + @mock.patch("ray.__version__", "2.50.0") # Version at 2.50.0 + def test_remain_the_same_behavior_at_2_50(self, mock_environ): + env_name = "TEST_FLOAT" + mock_environ[env_name] = "2.0" + + assert get_env_float_non_zero_with_warning(env_name, 1.0) == 2.0 + + mock_environ["TEST_VAR"] = "-1.2" + assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == -1.2 + + mock_environ["TEST_VAR"] = "0.0" + assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == 5.0 + + @mock.patch("ray.__version__", "2.51.0") # Version after 2.50.0 + def test_remain_the_same_behavior_after_2_50(self, mock_environ): + env_name = "TEST_FLOAT" + mock_environ[env_name] = "2.0" + + assert get_env_float_non_zero_with_warning(env_name, 1.0) == 2.0 + + mock_environ["TEST_VAR"] = "-1.2" + assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == -1.2 + + mock_environ["TEST_VAR"] = "0.0" + assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == 5.0 + + if __name__ == "__main__": import sys From 333246c592067bd73b7ff8842e29ab514b920f38 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Fri, 15 Aug 2025 09:43:09 -0700 Subject: [PATCH 0714/1566] [Serve] Update test_http_routes to use get_application_url (#55623) Updates one of the serve tests, test_http_routes, so it can start using get_application_url instead of hardcoded urls. --------- Signed-off-by: doyoung Signed-off-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 5 +- python/ray/serve/tests/test_http_routes.py | 77 ++++++++++++---------- 2 files changed, 47 insertions(+), 35 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index 1d95c41a4893..d742b1c8a2b0 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -741,7 +741,9 @@ def get_application_urls( app_name in serve_details["applications"] ), f"App {app_name} not found in serve details. Use this method only when the app is known to be running." route_prefix = serve_details["applications"][app_name]["route_prefix"] - if exclude_route_prefix: + # route_prefix is set to None when route_prefix value is specifically set to None + # in the config used to deploy the app. + if exclude_route_prefix or route_prefix is None: route_prefix = "" if isinstance(protocol, str): protocol = RequestProtocol(protocol) @@ -753,7 +755,6 @@ def get_application_urls( for target_group in target_groups if target_group.protocol == protocol ] - if len(target_groups) == 0: raise ValueError( f"No target group found for app {app_name} with protocol {protocol} and route prefix {route_prefix}" diff --git a/python/ray/serve/tests/test_http_routes.py b/python/ray/serve/tests/test_http_routes.py index 8d2cbe4410ae..4fafc1360e73 100644 --- a/python/ray/serve/tests/test_http_routes.py +++ b/python/ray/serve/tests/test_http_routes.py @@ -8,6 +8,7 @@ import ray from ray import serve from ray.serve._private.constants import SERVE_DEFAULT_APP_NAME +from ray.serve._private.test_utils import get_application_url def test_path_validation(serve_instance): @@ -67,15 +68,22 @@ def __call__(self, *args): serve.run(D2.bind(), name="app2", route_prefix="/hello/world") routes = httpx.get("http://localhost:8000/-/routes").json() - assert len(routes) == 2, routes - assert httpx.get("http://localhost:8000/D1").text == "D1" - assert httpx.get("http://localhost:8000/D1").status_code == 200 - assert httpx.get("http://localhost:8000/hello/world").text == "D2" - assert httpx.get("http://localhost:8000/hello/world").status_code == 200 + app1_url = get_application_url(app_name="app1") + app2_url = get_application_url(app_name="app2") + + assert httpx.get(app1_url).text == "D1" + assert httpx.get(app1_url).status_code == 200 + assert httpx.get(app2_url).text == "D2" + assert httpx.get(app2_url).status_code == 200 assert httpx.get("http://localhost:8000/not_exist").status_code == 404 - assert httpx.get("http://localhost:8000/").status_code == 404 + + app1_url = get_application_url(app_name="app1", exclude_route_prefix=True) + app2_url = get_application_url(app_name="app2", exclude_route_prefix=True) + + assert httpx.get(f"{app1_url}/").status_code == 404 + assert httpx.get(f"{app2_url}/").status_code == 404 def test_deployment_without_route(serve_instance): @@ -85,8 +93,8 @@ def __call__(self, *args): return "1" serve.run(D.bind(), route_prefix=None) - routes = httpx.get("http://localhost:8000/-/routes").json() - assert len(routes) == 0 + routes = httpx.get("http://localhost:8000/-/routes") + assert len(routes.json()) == 0 # make sure the deployment is not exposed under the default route r = httpx.get("http://localhost:8000/") @@ -99,16 +107,17 @@ class D1: pass serve.run(D1.bind()) - - routes = httpx.get("http://localhost:8000/-/routes").json() + url = get_application_url(exclude_route_prefix=True) + routes = httpx.get(f"{url}/-/routes").json() assert len(routes) == 1 assert "/" in routes, routes assert routes["/"] == SERVE_DEFAULT_APP_NAME def test_path_prefixing_1(serve_instance): - def check_req(subpath, text=None, status=None): - r = httpx.get(f"http://localhost:8000{subpath}") + def check_req(subpath, app_name, text=None, status=None): + url = get_application_url(app_name=app_name, exclude_route_prefix=True) + r = httpx.get(f"{url}{subpath}") if text is not None: assert r.text == text, f"{r.text} != {text}" if status is not None: @@ -122,10 +131,10 @@ def __call__(self, *args): return "1" serve.run(D1.bind(), route_prefix="/hello", name="app1") - check_req("/", status=404) - check_req("/hello", text="1") - check_req("/hello/", text="1") - check_req("/hello/a", text="1") + check_req("/", "app1", status=404) + check_req("/hello", "app1", text="1") + check_req("/hello/", "app1", text="1") + check_req("/hello/a", "app1", text="1") @serve.deployment class D2: @@ -133,10 +142,10 @@ def __call__(self, *args): return "2" serve.run(D2.bind(), route_prefix="/", name="app2") - check_req("/hello/", text="1") - check_req("/hello/a", text="1") - check_req("/", text="2") - check_req("/a", text="2") + check_req("/hello/", "app1", text="1") + check_req("/hello/a", "app1", text="1") + check_req("/", "app2", text="2") + check_req("/a", "app2", text="2") @serve.deployment class D3: @@ -144,9 +153,9 @@ def __call__(self, *args): return "3" serve.run(D3.bind(), route_prefix="/hello/world", name="app3") - check_req("/hello/", text="1") - check_req("/", text="2") - check_req("/hello/world/", text="3") + check_req("/hello/", "app1", text="1") + check_req("/", "app2", text="2") + check_req("/hello/world/", "app3", text="3") app = FastAPI() @@ -162,11 +171,11 @@ def subpath(self, p: str): return p serve.run(D4.bind(), route_prefix="/hello/world/again", name="app4") - check_req("/hello/") == "1" - check_req("/") == "2" - check_req("/hello/world/") == "3" - check_req("/hello/world/again/") == "4" - check_req("/hello/world/again/hi") == '"hi"' + check_req("/hello/", "app1") == "1" + check_req("/", "app2") == "2" + check_req("/hello/world/", "app3") == "3" + check_req("/hello/world/again/", "app4") == "4" + check_req("/hello/world/again/hi", "app4") == '"hi"' @pytest.mark.parametrize("base_path", ["", "subpath"]) @@ -201,14 +210,13 @@ def redirect_twice(self, request: Request): if route_prefix != "/": route_prefix += "/" - r = httpx.get(f"http://localhost:8000{route_prefix}redirect", follow_redirects=True) + url = get_application_url(exclude_route_prefix=True) + r = httpx.get(f"{url}{route_prefix}redirect", follow_redirects=True) assert r.status_code == 200 assert len(r.history) == 1 assert r.json() == "hello from /" - r = httpx.get( - f"http://localhost:8000{route_prefix}redirect2", follow_redirects=True - ) + r = httpx.get(f"{url}{route_prefix}redirect2", follow_redirects=True) assert r.status_code == 200 assert len(r.history) == 2 assert r.json() == "hello from /" @@ -220,7 +228,9 @@ def f(): _ = 1 / 0 serve.run(f.bind()) - r = httpx.get("http://localhost:8000/f") + url = get_application_url(exclude_route_prefix=True) + # Error is raised when the request reaches the deployed replica. + r = httpx.get(f"{url}/f") assert r.status_code == 500 assert r.text == "Internal Server Error" @@ -234,6 +244,7 @@ def h(): time.sleep(100) # Don't return here to leave time for actor exit. serve.run(h.bind()) + # Error is raised before the request reaches the deployed replica as the replica does not exist. r = httpx.get("http://localhost:8000/h") assert r.status_code == 500 From f5db3aabf3e82cc486ecb43c11ef9d86d05b2713 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Fri, 15 Aug 2025 09:56:09 -0700 Subject: [PATCH 0715/1566] [serve] Add model composition serve benchmarks (#55549) ## Why are these changes needed? Model composition is a common paradigm we should also track performance for. --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/benchmarks/common.py | 37 +++++ .../serve_tests/workloads/microbenchmarks.py | 145 ++++++++++-------- 2 files changed, 122 insertions(+), 60 deletions(-) diff --git a/python/ray/serve/_private/benchmarks/common.py b/python/ray/serve/_private/benchmarks/common.py index f5daad3d493f..1c51801662f7 100644 --- a/python/ray/serve/_private/benchmarks/common.py +++ b/python/ray/serve/_private/benchmarks/common.py @@ -170,6 +170,43 @@ def __call__(self, *args, **kwargs): return b"" +@serve.deployment +class ModelComp: + def __init__(self, child): + logging.getLogger("ray.serve").setLevel(logging.WARNING) + self._child = child + + async def __call__(self, *args, **kwargs): + return await self._child.remote() + + +@serve.deployment +class GrpcDeployment: + def __init__(self): + logging.getLogger("ray.serve").setLevel(logging.WARNING) + + async def grpc_call(self, user_message): + return serve_pb2.ModelOutput(output=9) + + async def call_with_string(self, user_message): + return serve_pb2.ModelOutput(output=9) + + +@serve.deployment +class GrpcModelComp: + def __init__(self, child): + logging.getLogger("ray.serve").setLevel(logging.WARNING) + self._child = child + + async def grpc_call(self, user_message): + await self._child.remote() + return serve_pb2.ModelOutput(output=9) + + async def call_with_string(self, user_message): + await self._child.remote() + return serve_pb2.ModelOutput(output=9) + + @serve.deployment class Streamer: def __init__(self, tokens_per_request: int, inter_token_delay_ms: int = 10): diff --git a/release/serve_tests/workloads/microbenchmarks.py b/release/serve_tests/workloads/microbenchmarks.py index 4cf10ab9e615..983cef1d5f3a 100644 --- a/release/serve_tests/workloads/microbenchmarks.py +++ b/release/serve_tests/workloads/microbenchmarks.py @@ -26,6 +26,9 @@ do_single_http_batch, generate_payload, Noop, + ModelComp, + GrpcDeployment, + GrpcModelComp, IntermediateRouter, run_latency_benchmark, run_throughput_benchmark, @@ -60,18 +63,6 @@ STREAMING_NUM_TRIALS = 10 -@serve.deployment -class GrpcDeployment: - def __init__(self): - logging.getLogger("ray.serve").setLevel(logging.WARNING) - - async def grpc_call(self, user_message): - return serve_pb2.ModelOutput(output=9) - - async def call_with_string(self, user_message): - return serve_pb2.ModelOutput(output=9) - - def convert_throughput_to_perf_metrics( name: str, mean: float, @@ -161,21 +152,32 @@ async def _main( for max_ongoing_requests, concurrency in zip( throughput_max_ongoing_requests, concurrencies ): - serve.run( - Noop.options(max_ongoing_requests=max_ongoing_requests).bind() - ) - url = get_application_url(use_localhost=True) - mean, std, _ = await run_throughput_benchmark( - fn=partial(do_single_http_batch, batch_size=concurrency, url=url), - multiplier=concurrency, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - test_name = get_throughput_test_name("http", max_ongoing_requests) - perf_metrics.extend( - convert_throughput_to_perf_metrics(test_name, mean, std) - ) - serve.shutdown() + workloads = { + "http": Noop.options( + max_ongoing_requests=max_ongoing_requests + ).bind(), + "http_model_comp": ModelComp.options( + max_ongoing_requests=max_ongoing_requests + ).bind( + Noop.options(max_ongoing_requests=max_ongoing_requests).bind() + ), + } + for name, app in workloads.items(): + serve.run(app) + url = get_application_url(use_localhost=True) + mean, std, _ = await run_throughput_benchmark( + fn=partial( + do_single_http_batch, batch_size=concurrency, url=url + ), + multiplier=concurrency, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, + ) + test_name = get_throughput_test_name(name, max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() if run_streaming: # Direct streaming between replica @@ -285,28 +287,35 @@ async def _main( for max_ongoing_requests, concurrency in zip( throughput_max_ongoing_requests, concurrencies ): - serve.start(grpc_options=serve_grpc_options) - serve.run( - GrpcDeployment.options( + workloads = { + "grpc": GrpcDeployment.options( max_ongoing_requests=max_ongoing_requests - ).bind() - ) - target = get_application_url( - protocol=RequestProtocol.GRPC, use_localhost=True - ) - mean, std, _ = await run_throughput_benchmark( - fn=partial( - do_single_grpc_batch, batch_size=concurrency, target=target + ).bind(), + "grpc_model_comp": GrpcModelComp.options( + max_ongoing_requests=max_ongoing_requests + ).bind( + Noop.options(max_ongoing_requests=max_ongoing_requests).bind() ), - multiplier=concurrency, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - test_name = get_throughput_test_name("grpc", max_ongoing_requests) - perf_metrics.extend( - convert_throughput_to_perf_metrics(test_name, mean, std) - ) - serve.shutdown() + } + for name, app in workloads.items(): + serve.start(grpc_options=serve_grpc_options) + serve.run(app) + target = get_application_url( + protocol=RequestProtocol.GRPC, use_localhost=True + ) + mean, std, _ = await run_throughput_benchmark( + fn=partial( + do_single_grpc_batch, batch_size=concurrency, target=target + ), + multiplier=concurrency, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, + ) + test_name = get_throughput_test_name(name, max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() # Handle if run_handle: @@ -328,21 +337,37 @@ async def _main( for max_ongoing_requests, concurrency in zip( throughput_max_ongoing_requests, concurrencies ): - h: DeploymentHandle = serve.run( - Benchmarker.options(max_ongoing_requests=max_ongoing_requests).bind( + workloads = { + "handle": Benchmarker.options( + max_ongoing_requests=max_ongoing_requests + ).bind( Noop.options(max_ongoing_requests=max_ongoing_requests).bind() + ), + "handle_model_comp": Benchmarker.options( + max_ongoing_requests=max_ongoing_requests + ).bind( + ModelComp.options( + max_ongoing_requests=max_ongoing_requests + ).bind( + Noop.options( + max_ongoing_requests=max_ongoing_requests + ).bind() + ) + ), + } + for name, app in workloads.items(): + h: DeploymentHandle = serve.run(app) + + mean, std, _ = await h.run_throughput_benchmark.remote( + batch_size=concurrency, + num_trials=NUM_TRIALS, + trial_runtime=TRIAL_RUNTIME_S, ) - ) - mean, std, _ = await h.run_throughput_benchmark.remote( - batch_size=concurrency, - num_trials=NUM_TRIALS, - trial_runtime=TRIAL_RUNTIME_S, - ) - test_name = get_throughput_test_name("handle", max_ongoing_requests) - perf_metrics.extend( - convert_throughput_to_perf_metrics(test_name, mean, std) - ) - serve.shutdown() + test_name = get_throughput_test_name(name, max_ongoing_requests) + perf_metrics.extend( + convert_throughput_to_perf_metrics(test_name, mean, std) + ) + serve.shutdown() if run_streaming: h: DeploymentHandle = serve.run( From a23473d336362fdf50dfe759b980be91640b50c4 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 15 Aug 2025 10:14:33 -0700 Subject: [PATCH 0716/1566] [serve] pin the version of wrk used in serve ci base (#55650) and clone with depth=1 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/serve.build.Dockerfile | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/ci/docker/serve.build.Dockerfile b/ci/docker/serve.build.Dockerfile index 1b38777f0f25..8753d5a2bd37 100644 --- a/ci/docker/serve.build.Dockerfile +++ b/ci/docker/serve.build.Dockerfile @@ -27,7 +27,11 @@ if [[ "${PYTHON-}" != "3.12" ]]; then tensorflow tensorflow-probability torch torchvision \ transformers aioboto3 fi -git clone https://github.com/wg/wrk.git /tmp/wrk && pushd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin && popd + +git clone --branch=4.2.0 --depth=1 https://github.com/wg/wrk.git /tmp/wrk +make -C /tmp/wrk -j +sudo cp /tmp/wrk/wrk /usr/local/bin/wrk +rm -rf /tmp/wrk # Install custom Pydantic version if requested. if [[ -n "${PYDANTIC_VERSION-}" ]]; then From 6a11a6471ff8f1f29f951d48a375acceeda6178e Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Fri, 15 Aug 2025 10:48:54 -0700 Subject: [PATCH 0717/1566] [data] Wrap batch index in a `BatchMetadata` class (#55643) Wrap batch metadata in a dataclass that we can extend in the future. Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../_internal/block_batching/interfaces.py | 22 +++++++++++++------ .../_internal/block_batching/iter_batches.py | 4 ++-- .../ray/data/_internal/block_batching/util.py | 20 +++++++++-------- .../tests/block_batching/test_iter_batches.py | 16 +++++++++----- .../data/tests/block_batching/test_util.py | 22 ++++++++++++------- 5 files changed, 52 insertions(+), 32 deletions(-) diff --git a/python/ray/data/_internal/block_batching/interfaces.py b/python/ray/data/_internal/block_batching/interfaces.py index 452b6d850b93..4f0bed6b3dd4 100644 --- a/python/ray/data/_internal/block_batching/interfaces.py +++ b/python/ray/data/_internal/block_batching/interfaces.py @@ -7,30 +7,38 @@ @dataclass -class Batch: - """A batch of data with a corresponding index. +class BatchMetadata: + """Metadata associated with a batch. Attributes: batch_idx: The global index of this batch so that downstream operations can maintain ordering. - data: The batch of data. """ batch_idx: int + + +@dataclass +class Batch: + """A batch of data. + + Attributes: + metadata: Metadata associated with this batch. + data: The batch of data. + """ + + metadata: BatchMetadata data: DataBatch class CollatedBatch(Batch): - """A batch of collated data with a corresponding index. + """A batch of collated data. Attributes: - batch_idx: The global index of this batch so that downstream operations can - maintain ordering. data: The batch of data which is the output of a user provided collate_fn Therefore, the type of this data can be Any. """ - batch_idx: int data: Any diff --git a/python/ray/data/_internal/block_batching/iter_batches.py b/python/ray/data/_internal/block_batching/iter_batches.py index cfad92a7acd7..f807ae2078dc 100644 --- a/python/ray/data/_internal/block_batching/iter_batches.py +++ b/python/ray/data/_internal/block_batching/iter_batches.py @@ -382,8 +382,8 @@ def restore_original_order(batch_iter: Iterator[Batch]) -> Iterator[Batch]: next_index_required = 0 buffer: Dict[int, Batch] = {} for batch in batch_iter: - assert batch.batch_idx not in buffer - buffer[batch.batch_idx] = batch + assert batch.metadata.batch_idx not in buffer + buffer[batch.metadata.batch_idx] = batch while next_index_required in buffer: yield buffer.pop(next_index_required) next_index_required += 1 diff --git a/python/ray/data/_internal/block_batching/util.py b/python/ray/data/_internal/block_batching/util.py index 4cea60abca80..a1678b569062 100644 --- a/python/ray/data/_internal/block_batching/util.py +++ b/python/ray/data/_internal/block_batching/util.py @@ -1,3 +1,4 @@ +import dataclasses import logging import threading from contextlib import nullcontext @@ -8,6 +9,7 @@ from ray.data._internal.batcher import Batcher, ShufflingBatcher from ray.data._internal.block_batching.interfaces import ( Batch, + BatchMetadata, BlockPrefetcher, CollatedBatch, ) @@ -120,7 +122,7 @@ def get_iter_next_batch_s_timer(): while batcher.has_batch(): with get_iter_next_batch_s_timer(): batch = batcher.next_batch() - yield Batch(global_counter, batch) + yield Batch(metadata=BatchMetadata(batch_idx=global_counter), data=batch) global_counter += 1 # Signal to the batcher that there are no more blocks to add. @@ -130,38 +132,38 @@ def get_iter_next_batch_s_timer(): while batcher.has_batch(): with get_iter_next_batch_s_timer(): batch = batcher.next_batch() - yield Batch(global_counter, batch) + yield Batch(metadata=BatchMetadata(batch_idx=global_counter), data=batch) global_counter += 1 # Get any remaining data. if not drop_last and batcher.has_any(): with get_iter_next_batch_s_timer(): batch = batcher.next_batch() - yield Batch(global_counter, batch) + yield Batch(metadata=BatchMetadata(batch_idx=global_counter), data=batch) global_counter += 1 def format_batches( - block_iter: Iterator[Batch], + batch_iter: Iterator[Batch], batch_format: Optional[str], stats: Optional[DatasetStats] = None, ) -> Iterator[Batch]: """Given an iterator of blocks, returns an iterator of formatted batches. Args: - block_iter: An iterator over blocks. + batch_iter: An iterator over batches. batch_format: The batch format to use. stats: An optional stats object to record formatting times. Returns: An iterator over batch index and the formatted batch. """ - for batch in block_iter: + for batch in batch_iter: with stats.iter_format_batch_s.timer() if stats else nullcontext(): formatted_batch = BlockAccessor.for_block(batch.data).to_batch_format( batch_format ) - yield Batch(batch.batch_idx, formatted_batch) + yield dataclasses.replace(batch, data=formatted_batch) def collate( @@ -180,7 +182,7 @@ def collate( for batch in batch_iter: with stats.iter_collate_batch_s.timer() if stats else nullcontext(): collated_batch = collate_fn(batch.data) - yield CollatedBatch(batch.batch_idx, collated_batch) + yield CollatedBatch(metadata=batch.metadata, data=collated_batch) def finalize_batches( @@ -204,7 +206,7 @@ def finalize_batches( for batch in batch_iter: with stats.iter_finalize_batch_s.timer() if stats else nullcontext(): finalized_batch = finalize_fn(batch.data) - yield CollatedBatch(batch.batch_idx, finalized_batch) + yield dataclasses.replace(batch, data=finalized_batch) def extract_data_from_batch(batch_iter: Iterator[Batch]) -> Iterator[Any]: diff --git a/python/ray/data/tests/block_batching/test_iter_batches.py b/python/ray/data/tests/block_batching/test_iter_batches.py index 36f4b8a5005c..7ee6812fab9a 100644 --- a/python/ray/data/tests/block_batching/test_iter_batches.py +++ b/python/ray/data/tests/block_batching/test_iter_batches.py @@ -8,7 +8,11 @@ import pytest import ray -from ray.data._internal.block_batching.interfaces import Batch, BlockPrefetcher +from ray.data._internal.block_batching.interfaces import ( + Batch, + BatchMetadata, + BlockPrefetcher, +) from ray.data._internal.block_batching.iter_batches import ( BatchIterator, prefetch_batches_locally, @@ -95,14 +99,14 @@ def prefetch_blocks(self, block_refs: List[ObjectRef[Block]]): def test_restore_from_original_order(): base_iterator = [ - Batch(1, None), - Batch(0, None), - Batch(3, None), - Batch(2, None), + Batch(BatchMetadata(batch_idx=1), None), + Batch(BatchMetadata(batch_idx=0), None), + Batch(BatchMetadata(batch_idx=3), None), + Batch(BatchMetadata(batch_idx=2), None), ] ordered = list(restore_original_order(iter(base_iterator))) - idx = [batch.batch_idx for batch in ordered] + idx = [batch.metadata.batch_idx for batch in ordered] assert idx == [0, 1, 2, 3] diff --git a/python/ray/data/tests/block_batching/test_util.py b/python/ray/data/tests/block_batching/test_util.py index 098ed64a4004..f8be82e43281 100644 --- a/python/ray/data/tests/block_batching/test_util.py +++ b/python/ray/data/tests/block_batching/test_util.py @@ -10,7 +10,7 @@ import pytest import ray -from ray.data._internal.block_batching.interfaces import Batch +from ray.data._internal.block_batching.interfaces import Batch, BatchMetadata from ray.data._internal.block_batching.util import ( _calculate_ref_hits, blocks_to_batches, @@ -64,13 +64,17 @@ def test_blocks_to_batches(block_size, drop_last): assert leftover_batches == 1 assert full_batches == (dataset_size // batch_size) - assert [batch.batch_idx for batch in batch_iter] == list(range(len(batch_iter))) + assert [batch.metadata.batch_idx for batch in batch_iter] == list( + range(len(batch_iter)) + ) @pytest.mark.parametrize("batch_format", ["pandas", "numpy", "pyarrow"]) def test_format_batches(batch_format): block_iter = block_generator(num_rows=2, num_blocks=2) - batch_iter = (Batch(i, block) for i, block in enumerate(block_iter)) + batch_iter = ( + Batch(BatchMetadata(batch_idx=i), block) for i, block in enumerate(block_iter) + ) batch_iter = list(format_batches(batch_iter, batch_format=batch_format)) for batch in batch_iter: @@ -82,7 +86,9 @@ def test_format_batches(batch_format): assert isinstance(batch.data, dict) assert isinstance(batch.data["foo"], np.ndarray) - assert [batch.batch_idx for batch in batch_iter] == list(range(len(batch_iter))) + assert [batch.metadata.batch_idx for batch in batch_iter] == list( + range(len(batch_iter)) + ) def test_collate(): @@ -90,13 +96,13 @@ def collate_fn(batch): return pa.table({"bar": [1] * 2}) batches = [ - Batch(i, data) + Batch(BatchMetadata(batch_idx=i), data) for i, data in enumerate(block_generator(num_rows=2, num_blocks=2)) ] batch_iter = collate(batches, collate_fn=collate_fn) for i, batch in enumerate(batch_iter): - assert batch.batch_idx == i + assert batch.metadata.batch_idx == i assert batch.data == pa.table({"bar": [1] * 2}) @@ -105,13 +111,13 @@ def finalize_fn(batch): return pa.table({"bar": [1] * 2}) batches = [ - Batch(i, data) + Batch(BatchMetadata(batch_idx=i), data) for i, data in enumerate(block_generator(num_rows=2, num_blocks=2)) ] batch_iter = finalize_batches(batches, finalize_fn=finalize_fn) for i, batch in enumerate(batch_iter): - assert batch.batch_idx == i + assert batch.metadata.batch_idx == i assert batch.data == pa.table({"bar": [1] * 2}) From a08f67f58aedd2e97babd490255ae4a494c069ed Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Fri, 15 Aug 2025 10:56:53 -0700 Subject: [PATCH 0718/1566] [serve.llm] Correct Pyright lints for Ray Serve LLM examples (#55284) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../serve/builders/application_builders.py | 7 +- .../_internal/serve/configs/server_models.py | 45 +++++++++++-- .../tests/serve/cpu/configs/test_models.py | 64 ++++++++++++++++++- python/ray/serve/llm/__init__.py | 10 +-- python/ray/serve/tests/test_api.py | 51 ++++++++++++++- 5 files changed, 163 insertions(+), 14 deletions(-) diff --git a/python/ray/llm/_internal/serve/builders/application_builders.py b/python/ray/llm/_internal/serve/builders/application_builders.py index 201974b36514..45c81da72aec 100644 --- a/python/ray/llm/_internal/serve/builders/application_builders.py +++ b/python/ray/llm/_internal/serve/builders/application_builders.py @@ -1,4 +1,4 @@ -from typing import List, Optional, Sequence +from typing import Any, Dict, List, Optional, Sequence, overload from ray.llm._internal.serve.configs.server_models import ( LLMConfig, @@ -52,6 +52,11 @@ def _get_llm_deployments( return llm_deployments +@overload +def build_openai_app(llm_serving_args: Dict[str, Any]) -> Application: + ... + + def build_openai_app(llm_serving_args: LLMServingArgs) -> Application: rayllm_args = LLMServingArgs.model_validate(llm_serving_args).parse_args() diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index f4d42174ef4e..5be9ff21a1f9 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -139,15 +139,15 @@ class ModelLoadingConfig(BaseModelExtended): class LLMConfig(BaseModelExtended): runtime_env: Optional[Dict[str, Any]] = Field( - None, + default=None, description=( "The runtime_env to use for the model deployment replica " "and the engine workers." ), ) - model_loading_config: ModelLoadingConfig = Field( - description="The settings for how to download and expose the model." + model_loading_config: Union[Dict[str, Any], ModelLoadingConfig] = Field( + description="The settings for how to download and expose the model. Validated against ModelLoadingConfig." ) llm_engine: str = Field( @@ -177,8 +177,9 @@ class LLMConfig(BaseModelExtended): description=f"The type of accelerator runs the model on. Only the following values are supported: {str([t.value for t in GPUType])}", ) - lora_config: Optional[LoraConfig] = Field( - default=None, description="Settings for LoRA adapter." + lora_config: Optional[Union[Dict[str, Any], LoraConfig]] = Field( + default=None, + description="Settings for LoRA adapter. Validated against LoraConfig.", ) deployment_config: Dict[str, Any] = Field( @@ -190,7 +191,7 @@ class LLMConfig(BaseModelExtended): `autoscaling_config`, `max_queued_requests`, `user_config`, `health_check_period_s`, `health_check_timeout_s`, `graceful_shutdown_wait_loop_s`, `graceful_shutdown_timeout_s`, - `logging_config`. + `logging_config`, `request_router_config`. For more details, see the `Ray Serve Documentation `_. """, ) @@ -209,7 +210,7 @@ class LLMConfig(BaseModelExtended): ) log_engine_metrics: Optional[bool] = Field( - False, + default=False, description="Enable additional engine metrics via Ray Prometheus port. Only compatible with V1 vLLM engine. NOTE: once v1 is fully rolled out, we will remove this flag and turn it on by default.", ) @@ -332,6 +333,36 @@ def validate_deployment_config(cls, value: Dict[str, Any]) -> Dict[str, Any]: return value + @field_validator("model_loading_config") + def validate_model_loading_config( + cls, value: Union[Dict[str, Any], ModelLoadingConfig] + ) -> ModelLoadingConfig: + """Validates the model loading config dictionary.""" + if isinstance(value, ModelLoadingConfig): + return value + + try: + model_loading_config = ModelLoadingConfig(**value) + except Exception as e: + raise ValueError(f"Invalid model_loading_config: {value}") from e + + return model_loading_config + + @field_validator("lora_config") + def validate_lora_config( + cls, value: Optional[Union[Dict[str, Any], LoraConfig]] + ) -> Optional[LoraConfig]: + """Validates the lora config dictionary.""" + if value is None or isinstance(value, LoraConfig): + return value + + try: + lora_config = LoraConfig(**value) + except Exception as e: + raise ValueError(f"Invalid lora_config: {value}") from e + + return lora_config + @model_validator(mode="after") def _check_log_stats_with_metrics(self): # Require disable_log_stats is not set to True when log_engine_metrics is enabled. diff --git a/python/ray/llm/tests/serve/cpu/configs/test_models.py b/python/ray/llm/tests/serve/cpu/configs/test_models.py index 057e27b8c65a..6f5bfab6d1b6 100644 --- a/python/ray/llm/tests/serve/cpu/configs/test_models.py +++ b/python/ray/llm/tests/serve/cpu/configs/test_models.py @@ -4,7 +4,11 @@ import pydantic import pytest -from ray.llm._internal.serve.configs.server_models import LLMConfig, ModelLoadingConfig +from ray.llm._internal.serve.configs.server_models import ( + LLMConfig, + LoraConfig, + ModelLoadingConfig, +) CONFIG_DIRS_PATH = str(Path(__file__).parent / "configs") @@ -302,5 +306,63 @@ def test_log_engine_metrics_disable_log_stats_validation(self): ) +class TestFieldValidators: + """Test the field validators for dict validation.""" + + def test_model_loading_config_dict_validation(self): + """Test that model_loading_config accepts and validates dict input.""" + config_dict = {"model_id": "microsoft/DialoGPT-medium"} + + llm_config = LLMConfig(model_loading_config=config_dict, llm_engine="vLLM") + + assert isinstance(llm_config.model_loading_config, ModelLoadingConfig) + assert llm_config.model_loading_config.model_id == "microsoft/DialoGPT-medium" + + def test_model_loading_config_validation_error(self): + """Test that invalid dict raises proper validation error.""" + with pytest.raises(pydantic.ValidationError) as exc_info: + LLMConfig( + model_loading_config={"invalid_field": "value"}, llm_engine="vLLM" + ) + + assert "Invalid model_loading_config" in str(exc_info.value) + + def test_lora_config_dict_validation(self): + """Test that lora_config accepts and validates dict input.""" + llm_config = LLMConfig( + model_loading_config={"model_id": "test"}, + lora_config=None, + llm_engine="vLLM", + ) + + assert llm_config.lora_config is None + + lora_dict = { + "dynamic_lora_loading_path": "s3://bucket/lora", + "max_num_adapters_per_replica": 8, + } + + llm_config2 = LLMConfig( + model_loading_config={"model_id": "test"}, + lora_config=lora_dict, + llm_engine="vLLM", + ) + + assert isinstance(llm_config2.lora_config, LoraConfig) + assert llm_config2.lora_config.max_num_adapters_per_replica == 8 + assert llm_config2.lora_config.dynamic_lora_loading_path == "s3://bucket/lora" + + def test_lora_config_validation_error(self): + """Test that invalid lora config dict raises proper validation error.""" + with pytest.raises(pydantic.ValidationError) as exc_info: + LLMConfig( + model_loading_config={"model_id": "test"}, + lora_config={"max_num_adapters_per_replica": "invalid_string"}, + llm_engine="vLLM", + ) + + assert "Invalid lora_config" in str(exc_info.value) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/serve/llm/__init__.py b/python/ray/serve/llm/__init__.py index 6bee92952088..3b04709a0bae 100644 --- a/python/ray/serve/llm/__init__.py +++ b/python/ray/serve/llm/__init__.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Any, Dict, Optional, Union from ray.llm._internal.serve.configs.server_models import ( CloudMirrorConfig as _CloudMirrorConfig, @@ -160,7 +160,9 @@ async def query_model(model_handle): @PublicAPI(stability="alpha") -def build_openai_app(llm_serving_args: "LLMServingArgs") -> "Application": +def build_openai_app( + llm_serving_args: Union["LLMServingArgs", Dict[str, Any]] +) -> "Application": """Helper to build an OpenAI compatible app with the llm deployment setup from the given llm serving args. This is the main entry point for users to create a Serve application serving LLMs. @@ -252,8 +254,8 @@ def build_openai_app(llm_serving_args: "LLMServingArgs") -> "Application": Args: - llm_serving_args: The list of llm configs or the paths to the llm config to - build the app. + llm_serving_args: Either a dict with "llm_configs" key containing a list of + LLMConfig objects, or an LLMServingArgs object. Returns: The configured Ray Serve Application router. diff --git a/python/ray/serve/tests/test_api.py b/python/ray/serve/tests/test_api.py index 75b76b9fb7a2..b3d5419a79d3 100644 --- a/python/ray/serve/tests/test_api.py +++ b/python/ray/serve/tests/test_api.py @@ -1,7 +1,7 @@ import asyncio import os import sys -from typing import Dict, List, Optional +from typing import Dict, List, Optional, overload import httpx import pytest @@ -1136,6 +1136,55 @@ def test_custom_request_router_kwargs(serve_instance): assert handle.remote().result() == "Hello, world!" +def test_overloaded_app_builder_signatures(): + """Test that call_user_app_builder_with_args_if_necessary validates the base + function signature with a pydantic basemodel, rather than the overload that + accepts a dict (for the sake of lint permissiveness). + """ + + class Config(BaseModel): + name: str + value: int = 42 + + @serve.deployment + class MockDeployment: + def __call__(self): + return "mock" + + mock_app = MockDeployment.bind() + + # Overloaded function where the implementation has a pydantic annotation + @overload + def overloaded_builder(args: dict) -> Application: + ... + + def overloaded_builder(args: Config) -> Application: + """Implementation with pydantic BaseModel annotation.""" + + assert isinstance(args, Config), f"Expected Config but got {type(args)}" + return mock_app + + # Test 1: Valid input should work and convert to Config model + result = call_user_app_builder_with_args_if_necessary( + overloaded_builder, {"name": "test", "value": 123} + ) + assert isinstance(result, Application) + + # Test 2: Invalid dict input should raise validation error + # Missing required field 'name' + with pytest.raises(ValidationError): + call_user_app_builder_with_args_if_necessary( + overloaded_builder, {"value": 123} # Missing required 'name' field + ) + + # Test 3: Wrong type should also raise validation error + with pytest.raises(ValidationError): + call_user_app_builder_with_args_if_necessary( + overloaded_builder, + {"name": "test", "value": "not_an_int"}, # 'value' should be int + ) + + if __name__ == "__main__": import sys From 5a975f6a7c535c1263fdb6ff395632594f62541e Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 15 Aug 2025 13:05:36 -0500 Subject: [PATCH 0719/1566] [core] Clean up `RayletIpcClientInterface` (#55651) Splits out `raylet_ipc_client_interface.h` into its own target. Sub-interfaces that use the client should only depend on this interface, not the full `raylet_ipc_client` target. This improves incremental builds. For example, now if `raylet_ipc_client.{h,cc}` changes (including any of its transitive dependencies), the core worker `store_provider` targets no longer need to be recompiled. They'll only be recompiled if `raylet_ipc_client_interface.h` changes, which should be much less frequent. I've also moved the `FakeRayletIpcClient` into the source tree. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 4 +- src/ray/core_worker/BUILD.bazel | 4 +- src/ray/core_worker/core_worker.cc | 2 +- src/ray/core_worker/core_worker.h | 6 +- .../memory_store/memory_store.cc | 4 +- .../memory_store/memory_store.h | 6 +- .../store_provider/plasma_store_provider.cc | 9 +- .../store_provider/plasma_store_provider.h | 6 +- src/ray/core_worker/test/BUILD.bazel | 1 + src/ray/core_worker/test/core_worker_test.cc | 2 +- src/ray/ipc/BUILD.bazel | 42 +++- .../ipc/fake_raylet_ipc_client.h} | 2 +- src/ray/ipc/raylet_ipc_client.h | 157 +-------------- src/ray/ipc/raylet_ipc_client_interface.h | 190 ++++++++++++++++++ 14 files changed, 250 insertions(+), 185 deletions(-) rename src/{fakes/ray/ipc/raylet_ipc_client.h => ray/ipc/fake_raylet_ipc_client.h} (98%) create mode 100644 src/ray/ipc/raylet_ipc_client_interface.h diff --git a/BUILD.bazel b/BUILD.bazel index fb6f2b58e163..804a9591b91d 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -118,7 +118,9 @@ ray_cc_library( ray_cc_library( name = "ray_fakes", - hdrs = glob(["src/fakes/**/*.h"]), + hdrs = glob( + ["src/fakes/**/*.h"], + ), deps = [ "//src/ray/common:asio", "//src/ray/raylet_client:raylet_client_lib", diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index a47df3870715..8d41c345f4c2 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -212,7 +212,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/ipc:raylet_ipc_client", + "//src/ray/ipc:raylet_ipc_client_interface", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -346,7 +346,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/common:task_common", - "//src/ray/ipc:raylet_ipc_client", + "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:common_cc_proto", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index f6c664909723..53288a3c45d9 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -273,7 +273,7 @@ CoreWorker::CoreWorker( std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr raylet_ipc_client, + std::shared_ptr raylet_ipc_client, std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 839b8a96f177..2299894a3956 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -48,7 +48,7 @@ #include "ray/core_worker/task_execution/task_receiver.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet_client/raylet_client.h" @@ -180,7 +180,7 @@ class CoreWorker { std::unique_ptr core_worker_server, rpc::Address rpc_address, std::shared_ptr gcs_client, - std::shared_ptr raylet_ipc_client, + std::shared_ptr raylet_ipc_client, std::shared_ptr local_raylet_rpc_client, boost::thread &io_thread, std::shared_ptr reference_counter, @@ -1740,7 +1740,7 @@ class CoreWorker { std::shared_ptr gcs_client_; // Client to the local Raylet that goes over a local socket. - std::shared_ptr raylet_ipc_client_; + std::shared_ptr raylet_ipc_client_; // Client to the local Raylet that goes over a gRPC connection. std::shared_ptr local_raylet_rpc_client_; diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index e6b58485728f..3898e048354e 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -21,7 +21,7 @@ #include #include "ray/common/ray_config.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" namespace ray { namespace core { @@ -136,7 +136,7 @@ std::shared_ptr GetRequest::Get(const ObjectID &object_id) const { CoreWorkerMemoryStore::CoreWorkerMemoryStore( instrumented_io_context &io_context, ReferenceCounter *counter, - std::shared_ptr raylet_ipc_client, + std::shared_ptr raylet_ipc_client, std::function check_signals, std::function unhandled_exception_handler, std::function( diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index 509938d6dd61..17d1d4df1555 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -27,7 +27,7 @@ #include "ray/common/status.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" namespace ray { namespace core { @@ -54,7 +54,7 @@ class CoreWorkerMemoryStore { explicit CoreWorkerMemoryStore( instrumented_io_context &io_context, ReferenceCounter *counter = nullptr, - std::shared_ptr raylet_ipc_client = nullptr, + std::shared_ptr raylet_ipc_client = nullptr, std::function check_signals = nullptr, std::function unhandled_exception_handler = nullptr, std::function(const RayObject &object, @@ -210,7 +210,7 @@ class CoreWorkerMemoryStore { ReferenceCounter *ref_counter_; // If set, this will be used to notify worker blocked / unblocked on get calls. - std::shared_ptr raylet_ipc_client_; + std::shared_ptr raylet_ipc_client_; /// Protects the data structures below. mutable absl::Mutex mu_; diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index caaa2b30ef34..7dd0589e6e77 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -23,7 +23,7 @@ #include "ray/common/ray_config.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" #include "src/ray/protobuf/common.pb.h" namespace ray { @@ -62,7 +62,7 @@ BufferTracker::UsedObjects() const { CoreWorkerPlasmaStoreProvider::CoreWorkerPlasmaStoreProvider( const std::string &store_socket, - const std::shared_ptr raylet_ipc_client, + const std::shared_ptr raylet_ipc_client, ReferenceCounter &reference_counter, std::function check_signals, bool warmup, @@ -255,8 +255,9 @@ Status CoreWorkerPlasmaStoreProvider::GetExperimentalMutableObject( return store_client_->GetExperimentalMutableObject(object_id, mutable_object); } -Status UnblockIfNeeded(const std::shared_ptr &raylet_client, - const WorkerContext &ctx) { +Status UnblockIfNeeded( + const std::shared_ptr &raylet_client, + const WorkerContext &ctx) { if (ctx.CurrentTaskIsDirectCall()) { // NOTE: for direct call actors, we still need to issue an unblock IPC to release // get subscriptions, even if the worker isn't blocked. diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index 867fb739e9e6..c0997f5c0222 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -28,7 +28,7 @@ #include "ray/core_worker/common.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/object_manager/plasma/client.h" #include "src/ray/protobuf/common.pb.h" @@ -96,7 +96,7 @@ class CoreWorkerPlasmaStoreProvider { public: CoreWorkerPlasmaStoreProvider( const std::string &store_socket, - const std::shared_ptr raylet_ipc_client, + const std::shared_ptr raylet_ipc_client, ReferenceCounter &reference_counter, std::function check_signals, bool warmup, @@ -235,7 +235,7 @@ class CoreWorkerPlasmaStoreProvider { /// \return status Status WarmupStore(); - const std::shared_ptr raylet_ipc_client_; + const std::shared_ptr raylet_ipc_client_; std::shared_ptr store_client_; /// Used to look up a plasma object's owner. ReferenceCounter &reference_counter_; diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/test/BUILD.bazel index f94145237eb9..d9fef40c7b6d 100644 --- a/src/ray/core_worker/test/BUILD.bazel +++ b/src/ray/core_worker/test/BUILD.bazel @@ -230,6 +230,7 @@ ray_cc_test( "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", + "//src/ray/ipc:fake_raylet_ipc_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/test/core_worker_test.cc index bf45ffa279ef..0fa7170c1838 100644 --- a/src/ray/core_worker/test/core_worker_test.cc +++ b/src/ray/core_worker/test/core_worker_test.cc @@ -25,7 +25,6 @@ #include #include "fakes/ray/common/asio/fake_periodical_runner.h" -#include "fakes/ray/ipc/raylet_ipc_client.h" #include "fakes/ray/pubsub/publisher.h" #include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" @@ -40,6 +39,7 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" +#include "ray/ipc/fake_raylet_ipc_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/ipc/BUILD.bazel index 08d01f774235..501206ad3693 100644 --- a/src/ray/ipc/BUILD.bazel +++ b/src/ray/ipc/BUILD.bazel @@ -1,19 +1,24 @@ load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( - name = "client_connection", - srcs = [ - "client_connection.cc", - ], - hdrs = [ - "client_connection.h", - ], + name = "raylet_ipc_client_interface", + hdrs = ["raylet_ipc_client_interface.h"], deps = [ - "//src/ray/common:asio", - "//src/ray/common:event_stats", + "//src/ray/common:buffer", "//src/ray/common:id", "//src/ray/common:status", "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/util:process", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +ray_cc_library( + name = "fake_raylet_ipc_client", + hdrs = ["fake_raylet_ipc_client.h"], + deps = [ + "//src/ray/ipc:raylet_ipc_client_interface", ], ) @@ -21,6 +26,7 @@ ray_cc_library( name = "raylet_ipc_client", srcs = ["raylet_ipc_client.cc"], hdrs = ["raylet_ipc_client.h"], + visibility = ["//src/ray/core_worker:__pkg__"], deps = [ ":client_connection", "//src/ray/common:asio", @@ -28,9 +34,27 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:status", "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/protobuf:common_cc_proto", "//src/ray/util:logging", "//src/ray/util:process", "@com_google_absl//absl/container:flat_hash_set", ], ) + +ray_cc_library( + name = "client_connection", + srcs = [ + "client_connection.cc", + ], + hdrs = [ + "client_connection.h", + ], + deps = [ + "//src/ray/common:asio", + "//src/ray/common:event_stats", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/flatbuffers:node_manager_generated", + ], +) diff --git a/src/fakes/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/fake_raylet_ipc_client.h similarity index 98% rename from src/fakes/ray/ipc/raylet_ipc_client.h rename to src/ray/ipc/fake_raylet_ipc_client.h index dc7b0ca92bc0..1b8d32c8d227 100644 --- a/src/fakes/ray/ipc/raylet_ipc_client.h +++ b/src/ray/ipc/fake_raylet_ipc_client.h @@ -14,7 +14,7 @@ #pragma once -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/ipc/raylet_ipc_client_interface.h" namespace ray { namespace ipc { diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/raylet_ipc_client.h index 15ee56670513..b7faec8e8ca6 100644 --- a/src/ray/ipc/raylet_ipc_client.h +++ b/src/ray/ipc/raylet_ipc_client.h @@ -28,167 +28,15 @@ #include "ray/common/status_or.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/ipc/client_connection.h" +#include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" using MessageType = ray::protocol::MessageType; namespace ray { - -class RayletIpcClientInterface { - public: - virtual ~RayletIpcClientInterface() = default; - - /// Register this client (worker) with the local Raylet. - /// - /// \param worker_id The worker_id of the connecting worker. - /// \param worker_type The worker type of the connecting worker. - /// \param job_id The job ID that the connecting worker is associated with. - /// \param runtime_env_hash The runtime_env hash of the connecting worker. - /// \param language The language of the connecting worker. - /// \param ip_address The ip_address of the connecting worker. - /// \param serialized_job_config The serialized job config of the connecting worker. - /// \param startup_token The token that was passed to this worker at startup. - /// \param[out] node_id The node ID for the local Raylet. - /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, - /// the worker should pick a port randomly. - virtual ray::Status RegisterClient(const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const rpc::Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *node_id, - int *assigned_port) = 0; - - /// Notify the raylet that this client is disconnecting gracefully. This - /// is used by actors to exit gracefully so that the raylet doesn't - /// propagate an error message to the driver. - /// - /// It's a blocking call. - /// - /// \param disconnect_type The reason why this worker process is disconnected. - /// \param disconnect_detail The detailed reason for a given exit. - /// \return ray::Status. - virtual ray::Status Disconnect( - const rpc::WorkerExitType &exit_type, - const std::string &exit_detail, - const std::shared_ptr &creation_task_exception_pb_bytes) = 0; - - /// Tell the raylet which port this worker's gRPC server is listening on. - /// - /// \param port The port. - /// \return ray::Status. - virtual Status AnnounceWorkerPortForWorker(int port) = 0; - - /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. - /// - /// \param port The port. - /// \param entrypoint The entrypoint of the driver's job. - /// \return ray::Status. - virtual Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) = 0; - - /// Tell the raylet that the client has finished executing a task. - /// - /// \return ray::Status. - virtual ray::Status ActorCreationTaskDone() = 0; - - /// Ask the Raylet to pull a set of objects to the local node. - /// - /// This request is asynchronous. - /// - /// \param object_ids The IDs of the objects to pull. - /// \param owner_addresses The owner addresses of the objects. - /// \return ray::Status. - virtual ray::Status AsyncGetObjects( - const std::vector &object_ids, - const std::vector &owner_addresses) = 0; - - /// Wait for the given objects until timeout expires or num_return objects are - /// found. - /// - /// \param object_ids The objects to wait for. - /// \param owner_addresses The addresses of the workers that own the objects. - /// \param num_returns The number of objects to wait for. - /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. - /// \param result A pair with the first element containing the object ids that were - /// found, and the second element the objects that were not found. - /// \return ray::StatusOr containing error status or the set of object ids that were - /// found. - virtual ray::StatusOr> Wait( - const std::vector &object_ids, - const std::vector &owner_addresses, - int num_returns, - int64_t timeout_milliseconds) = 0; - - /// Tell the Raylet to cancel the get request from this worker. - /// - /// \return ray::Status. - virtual ray::Status CancelGetRequest() = 0; - - /// Notify the raylet that this client is blocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Unblock calls is important. - /// - /// \return ray::Status. - virtual ray::Status NotifyDirectCallTaskBlocked() = 0; - - /// Notify the raylet that this client is unblocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Block calls is important. - /// - /// \return ray::Status. - virtual ray::Status NotifyDirectCallTaskUnblocked() = 0; - - /// Wait for the given objects asynchronously. - /// - /// The core worker will be notified over gRPC when the wait completes. - /// - /// \param references The objects to wait for. - /// \param tag Value that will be sent to the core worker via gRPC on completion. - /// \return ray::Status. - virtual ray::Status WaitForActorCallArgs( - const std::vector &references, int64_t tag) = 0; - - /// Push an error to the relevant driver. - /// - /// \param The ID of the job_id that the error is for. - /// \param The type of the error. - /// \param The error message. - /// \param The timestamp of the error. - /// \return ray::Status. - virtual ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) = 0; - - /// Free a list of objects from object stores. - /// - /// \param object_ids A list of ObjectsIDs to be deleted. - /// \param local_only Whether keep this request with local object store - /// or send it to all the object stores. - /// \return ray::Status. - virtual ray::Status FreeObjects(const std::vector &object_ids, - bool local_only) = 0; - - /// Subscribe this worker to a notification when the provided object is ready in the - /// local object store. - /// - /// The worker will be notified over gRPC when the object is ready. - /// - /// \param object_id The ID of the object to subscribe to. - /// \param owner_address The address of the owner of the object. - virtual void SubscribePlasmaReady(const ObjectID &object_id, - const rpc::Address &owner_address) = 0; -}; - namespace ipc { -/// Interface for interacting with the local Raylet over a socket. -/// -/// Message ordering on the socket is guaranteed. -/// -/// If the socket is broken and the local Raylet is detected to be dead, calling any -/// method on the client will quick exit the process. + class RayletIpcClient : public RayletIpcClientInterface { public: /// Connect to the Raylet over a local socket. @@ -275,5 +123,4 @@ class RayletIpcClient : public RayletIpcClientInterface { }; } // namespace ipc - } // namespace ray diff --git a/src/ray/ipc/raylet_ipc_client_interface.h b/src/ray/ipc/raylet_ipc_client_interface.h new file mode 100644 index 000000000000..4d92c5c5023a --- /dev/null +++ b/src/ray/ipc/raylet_ipc_client_interface.h @@ -0,0 +1,190 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include + +#include "absl/container/flat_hash_set.h" +#include "ray/common/buffer.h" +#include "ray/common/id.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" +#include "ray/flatbuffers/node_manager_generated.h" +#include "ray/util/process.h" +#include "src/ray/protobuf/common.pb.h" + +using MessageType = ray::protocol::MessageType; + +namespace ray { +namespace ipc { + +/// Interface for interacting with the local Raylet over a socket. +/// +/// Message ordering is guaranteed. +/// +/// If the local Raylet is detected to be dead, calling any +/// method on the client will un-gracefully exit the process. +class RayletIpcClientInterface { + public: + virtual ~RayletIpcClientInterface() = default; + + /// Register this client (worker) with the local Raylet. + /// + /// \param worker_id The worker_id of the connecting worker. + /// \param worker_type The worker type of the connecting worker. + /// \param job_id The job ID that the connecting worker is associated with. + /// \param runtime_env_hash The runtime_env hash of the connecting worker. + /// \param language The language of the connecting worker. + /// \param ip_address The ip_address of the connecting worker. + /// \param serialized_job_config The serialized job config of the connecting worker. + /// \param startup_token The token that was passed to this worker at startup. + /// \param[out] node_id The node ID for the local Raylet. + /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, + /// the worker should pick a port randomly. + virtual ray::Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *node_id, + int *assigned_port) = 0; + + /// Notify the raylet that this client is disconnecting gracefully. This + /// is used by actors to exit gracefully so that the raylet doesn't + /// propagate an error message to the driver. + /// + /// It's a blocking call. + /// + /// \param disconnect_type The reason why this worker process is disconnected. + /// \param disconnect_detail The detailed reason for a given exit. + /// \return ray::Status. + virtual ray::Status Disconnect( + const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr &creation_task_exception_pb_bytes) = 0; + + /// Tell the raylet which port this worker's gRPC server is listening on. + /// + /// \param port The port. + /// \return ray::Status. + virtual Status AnnounceWorkerPortForWorker(int port) = 0; + + /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. + /// + /// \param port The port. + /// \param entrypoint The entrypoint of the driver's job. + /// \return ray::Status. + virtual Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) = 0; + + /// Tell the raylet that the client has finished executing a task. + /// + /// \return ray::Status. + virtual ray::Status ActorCreationTaskDone() = 0; + + /// Ask the Raylet to pull a set of objects to the local node. + /// + /// This request is asynchronous. + /// + /// \param object_ids The IDs of the objects to pull. + /// \param owner_addresses The owner addresses of the objects. + /// \return ray::Status. + virtual ray::Status AsyncGetObjects( + const std::vector &object_ids, + const std::vector &owner_addresses) = 0; + + /// Wait for the given objects until timeout expires or num_return objects are + /// found. + /// + /// \param object_ids The objects to wait for. + /// \param owner_addresses The addresses of the workers that own the objects. + /// \param num_returns The number of objects to wait for. + /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. + /// \param result A pair with the first element containing the object ids that were + /// found, and the second element the objects that were not found. + /// \return ray::StatusOr containing error status or the set of object ids that were + /// found. + virtual ray::StatusOr> Wait( + const std::vector &object_ids, + const std::vector &owner_addresses, + int num_returns, + int64_t timeout_milliseconds) = 0; + + /// Tell the Raylet to cancel the get request from this worker. + /// + /// \return ray::Status. + virtual ray::Status CancelGetRequest() = 0; + + /// Notify the raylet that this client is blocked. This is only used for direct task + /// calls. Note that ordering of this with respect to Unblock calls is important. + /// + /// \return ray::Status. + virtual ray::Status NotifyDirectCallTaskBlocked() = 0; + + /// Notify the raylet that this client is unblocked. This is only used for direct task + /// calls. Note that ordering of this with respect to Block calls is important. + /// + /// \return ray::Status. + virtual ray::Status NotifyDirectCallTaskUnblocked() = 0; + + /// Wait for the given objects asynchronously. + /// + /// The core worker will be notified over gRPC when the wait completes. + /// + /// \param references The objects to wait for. + /// \param tag Value that will be sent to the core worker via gRPC on completion. + /// \return ray::Status. + virtual ray::Status WaitForActorCallArgs( + const std::vector &references, int64_t tag) = 0; + + /// Push an error to the relevant driver. + /// + /// \param job_id The ID of the job_id that the error is for. + /// \param type The type of the error. + /// \param error_message The error message. + /// \param timestamp The timestamp of the error. + /// \return ray::Status. + virtual ray::Status PushError(const ray::JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) = 0; + + /// Free a list of objects from object stores. + /// + /// \param object_ids A list of ObjectsIDs to be deleted. + /// \param local_only Whether keep this request with local object store + /// or send it to all the object stores. + /// \return ray::Status. + virtual ray::Status FreeObjects(const std::vector &object_ids, + bool local_only) = 0; + + /// Subscribe this worker to a notification when the provided object is ready in the + /// local object store. + /// + /// The worker will be notified over gRPC when the object is ready. + /// + /// \param object_id The ID of the object to subscribe to. + /// \param owner_address The address of the owner of the object. + virtual void SubscribePlasmaReady(const ObjectID &object_id, + const rpc::Address &owner_address) = 0; +}; + +} // namespace ipc +} // namespace ray From 8a6c0175b1750c17c6793a747d03c60777a3b848 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Fri, 15 Aug 2025 11:07:19 -0700 Subject: [PATCH 0720/1566] [Serve] Update route prefix assignment for ReplicaBase.reconfigure() (#55657) Update assigning value that was slipped from #55407 --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 298c1bbfe804..5ce22606f4b9 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -787,7 +787,7 @@ async def reconfigure( servable_object=self._user_callable_wrapper.user_callable ) - self._route_prefix = route_prefix + self._route_prefix = self._version.route_prefix except Exception: raise RuntimeError(traceback.format_exc()) from None From 6edd9f1628914632121222d7b4a943ffbdb6e021 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Fri, 15 Aug 2025 20:44:34 +0200 Subject: [PATCH 0721/1566] [RLlib] Fix `ImportError` in Atari examples. (#54967) ## Why are these changes needed? Running Atari with RLlib results in error described in #53836 . This related to the version of `gymnasium` installed when calling `ray[rllib]` and then later installing `gymnasium[atari,accept-rom-license]`. Using `gymnasium=1.1.1` resolves this error. ## Related issue number Closes #53836 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 Signed-off-by: Douglas Strodtman --- python/requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- python/requirements_compiled_ray_py311_cpu.txt | 6 +++--- python/requirements_compiled_ray_py311_cu121.txt | 6 +++--- python/requirements_compiled_ray_py311_cu128.txt | 6 +++--- python/requirements_compiled_ray_test_py311_cpu.txt | 6 +++--- python/requirements_compiled_ray_test_py311_cu121.txt | 6 +++--- python/requirements_compiled_ray_test_py311_cu128.txt | 6 +++--- python/requirements_compiled_rayllm_py311_cpu.txt | 6 +++--- python/requirements_compiled_rayllm_py311_cu121.txt | 6 +++--- python/requirements_compiled_rayllm_py311_cu128.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cpu.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cu121.txt | 6 +++--- python/requirements_compiled_rayllm_test_py311_cu128.txt | 6 +++--- python/setup.py | 2 +- 15 files changed, 39 insertions(+), 39 deletions(-) diff --git a/python/requirements.txt b/python/requirements.txt index 2fbf538897d0..ac13f72f2d67 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -41,7 +41,7 @@ opentelemetry-api opentelemetry-exporter-prometheus opentelemetry-proto fastapi -gymnasium==1.0.0 +gymnasium==1.1.1 virtualenv!=20.21.1,>=20.0.24 opencensus aiohttp_cors diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 343a3f4a396b..da646a8d36f4 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -711,7 +711,7 @@ gsutil==5.27 # via -r python/requirements/docker/ray-docker-requirements.txt gunicorn==20.1.0 # via mlflow -gymnasium==1.0.0 +gymnasium==1.1.1 # via # -r python/requirements.txt # minigrid diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 3f38abd46278..5148759ee51f 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -732,9 +732,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index 0b2fee2cae5c..7d1d3712bf1d 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -732,9 +732,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index 206ecd7e66d8..aa408bf03239 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -732,9 +732,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index 81ea73f51d7f..490288181590 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -1100,9 +1100,9 @@ grpcio-tools==1.62.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 87cdc9200725..56fc67650c57 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -1100,9 +1100,9 @@ grpcio-tools==1.62.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index 44f0ef21f41c..c103a02fea12 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -1100,9 +1100,9 @@ grpcio-tools==1.62.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 3d4262a623c4..0b8df56dcfc6 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -953,9 +953,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 3e6dad764e0e..0e2ca1879291 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -953,9 +953,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 05be84969dbb..236ed1153440 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -953,9 +953,9 @@ grpcio==1.66.2 \ # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index f3933c7fedad..5c2a97b2d58f 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1310,9 +1310,9 @@ grpcio-tools==1.62.3 \ # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cpu.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index 164a9b50f775..d80ae177859f 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1310,9 +1310,9 @@ grpcio-tools==1.62.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cu121.txt # -r python/requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index e94cd04041cb..a589ed8ebe0a 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1309,9 +1309,9 @@ grpcio-tools==1.62.3 \ # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements/cloud-requirements.txt -gymnasium==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c python/requirements_compiled_ray_test_py311_cu128.txt # -r python/requirements.txt diff --git a/python/setup.py b/python/setup.py index c0eb418d688c..82a08fda81f3 100644 --- a/python/setup.py +++ b/python/setup.py @@ -315,7 +315,7 @@ def get_packages(self): setup_spec.extras["rllib"] = setup_spec.extras["tune"] + [ "dm_tree", - "gymnasium==1.0.0", + "gymnasium==1.1.1", "lz4", "ormsgpack==1.7.0", "pyyaml", From 5e0783371cefae26289f41a1323ea2829b05a558 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 15 Aug 2025 12:07:22 -0700 Subject: [PATCH 0722/1566] [core] Fix objects_valid with except from BaseException (#55602) We would encounter a ray check failure on `objects_valid` whenever we get a function throws an exception that extends from `BaseException` instead of `Exception`. Fixing that by just excepting `BaseException` instead of `Exception` when we are vulnerable to exceptions thrown from user Python code. We still have to special case `SystemExit` and `KeyboardInterrupt` because we can consider those as critical errors ourselves and treat them as worker shutdown or task cancellation signals respectively. Closes https://github.com/ray-project/ray/issues/43411 Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 11 +++-- python/ray/tests/test_basic.py | 10 +++++ python/ray/tests/test_failure.py | 44 ++++++++++++++++---- python/ray/tests/test_streaming_generator.py | 42 +++++++++++++++++++ 4 files changed, 96 insertions(+), 11 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index d375820f7449..a88e81009fa1 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -1029,7 +1029,7 @@ def serialize_retry_exception_allowlist(retry_exception_allowlist, function_desc cdef c_bool determine_if_retryable( c_bool should_retry_exceptions, - Exception e, + e: BaseException, const c_string serialized_retry_exception_allowlist, FunctionDescriptor function_descriptor, ): @@ -2012,7 +2012,9 @@ cdef void execute_task( task_exception = False except AsyncioActorExit as e: exit_current_actor_if_asyncio() - except Exception as e: + except (KeyboardInterrupt, SystemExit): + raise + except BaseException as e: is_retryable_error[0] = determine_if_retryable( should_retry_exceptions, e, @@ -2121,8 +2123,9 @@ cdef void execute_task( None, # ref_generator_id c_tensor_transport ) - - except Exception as e: + except (KeyboardInterrupt, SystemExit): + raise + except BaseException as e: num_errors_stored = store_task_errors( worker, e, task_exception, actor, actor_id, function_name, task_type, title, caller_address, returns, application_error, c_tensor_transport) diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index 68d1773adff0..a43312247687 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -1192,6 +1192,16 @@ def f(): assert False +def test_base_exception_raised(ray_start_shared_local_modes): + @ray.remote + def f(): + raise BaseException("rip") + return 1 + + with pytest.raises(BaseException): + ray.get(f.remote()) + + def test_import_ray_does_not_import_grpc(): # First unload grpc and ray if "grpc" in sys.modules: diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index d2d2f650138a..ef551d68ea8d 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -380,25 +380,55 @@ def foo(): assert isinstance(ex, RayTaskError) -def test_baseexception_task(ray_start_regular): +def test_baseexception_task(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + @ray.remote def task(): - raise BaseException("abc") + raise MyBaseException("abc") - with pytest.raises(ray.exceptions.WorkerCrashedError): + with pytest.raises(MyBaseException): ray.get(task.remote()) -def test_baseexception_actor(ray_start_regular): +def test_baseexception_actor_task(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + @ray.remote class Actor: def f(self): - raise BaseException("abc") + raise MyBaseException("abc") - with pytest.raises(ActorDiedError): - a = Actor.remote() + async def async_f(self): + raise MyBaseException("abc") + + a = Actor.remote() + with pytest.raises(MyBaseException): ray.get(a.f.remote()) + a = Actor.remote() + with pytest.raises(MyBaseException): + ray.get(a.async_f.remote()) + + +def test_baseexception_actor_creation(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + + @ray.remote + class Actor: + def __init__(self): + raise MyBaseException("abc") + + a = Actor.remote() + try: + ray.get(a.__ray_ready__.remote()) + raise Exception("abc") + except ActorDiedError as e: + assert "MyBaseException" in str(e) + @pytest.mark.skip("This test does not work yet.") @pytest.mark.parametrize("ray_start_object_store_memory", [10**6], indirect=True) diff --git a/python/ray/tests/test_streaming_generator.py b/python/ray/tests/test_streaming_generator.py index 2e166e190ba5..2e0136d91161 100644 --- a/python/ray/tests/test_streaming_generator.py +++ b/python/ray/tests/test_streaming_generator.py @@ -576,6 +576,48 @@ async def async_f(self): ray.get(next(g)) +def test_baseexception_streaming_generator(shutdown_only): + ray.init() + + class MyBaseException(BaseException): + pass + + @ray.remote + def raise_at_beginning(): + raise MyBaseException("rip") + yield 1 + + raise_at_beginning_ref = raise_at_beginning.remote() + with pytest.raises(MyBaseException): + ray.get(next(raise_at_beginning_ref)) + + @ray.remote + def raise_at_middle(): + for i in range(1, 10): + if i == 5: + raise MyBaseException("rip") + yield i + + raise_at_middle_ref = raise_at_middle.remote() + for i in range(1, 5): + assert i == ray.get(next(raise_at_middle_ref)) + with pytest.raises(MyBaseException): + ray.get(next(raise_at_middle_ref)) + + @ray.remote(_generator_backpressure_num_objects=1) + def raise_after_backpressure(): + for i in range(1, 10): + if i == 5: + raise MyBaseException("rip") + yield i + + raise_after_backpressure_ref = raise_after_backpressure.remote() + for i in range(1, 5): + assert i == ray.get(next(raise_after_backpressure_ref)) + with pytest.raises(MyBaseException): + ray.get(next(raise_after_backpressure_ref)) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From 88d688cf603aff1c24feba7dde43fa1a6fd8835e Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 15 Aug 2025 12:37:21 -0700 Subject: [PATCH 0723/1566] [ci] raydepsets: generating llm lock files (4/4) (#55500) - generating llm lock files with raydepsets --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/compile_llm_requirements.sh | 70 ++----------------- ci/raydepsets/cli.py | 19 ++--- ci/raydepsets/ray.depsets.yaml | 27 ------- ci/raydepsets/rayllm.depsets.yaml | 68 ++++++++++++++++++ ci/raydepsets/tests/test_cli.py | 27 +++++-- ci/test_compile_llm_requirements.sh | 5 -- .../requirements_compiled_ray_py311_cpu.txt | 2 +- .../requirements_compiled_ray_py311_cu121.txt | 2 +- .../requirements_compiled_ray_py311_cu128.txt | 2 +- ...quirements_compiled_ray_test_py311_cpu.txt | 2 +- ...irements_compiled_ray_test_py311_cu121.txt | 2 +- ...irements_compiled_ray_test_py311_cu128.txt | 2 +- ...requirements_compiled_rayllm_py311_cpu.txt | 2 +- ...quirements_compiled_rayllm_py311_cu121.txt | 2 +- ...quirements_compiled_rayllm_py311_cu128.txt | 2 +- ...rements_compiled_rayllm_test_py311_cpu.txt | 2 +- ...ments_compiled_rayllm_test_py311_cu121.txt | 2 +- ...ments_compiled_rayllm_test_py311_cu128.txt | 2 +- 18 files changed, 114 insertions(+), 126 deletions(-) delete mode 100644 ci/raydepsets/ray.depsets.yaml create mode 100644 ci/raydepsets/rayllm.depsets.yaml diff --git a/ci/compile_llm_requirements.sh b/ci/compile_llm_requirements.sh index 5932d1e005b9..f3ae705fe228 100755 --- a/ci/compile_llm_requirements.sh +++ b/ci/compile_llm_requirements.sh @@ -9,71 +9,13 @@ if [[ "${PYTHON_CODE}" != "py311" ]]; then exit 1 fi -for CUDA_CODE in cpu cu121 cu128; do - PYTHON_CUDA_CODE="${PYTHON_CODE}_${CUDA_CODE}" +mkdir -p /tmp/ray-deps - echo "--- Compile dependencies for ${PYTHON_CODE}_${CUDA_CODE}" +# Remove the GPU constraints +cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt +sed -i '/^--extra-index-url /d' /tmp/ray-deps/requirements_compiled.txt +sed -i '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt - UV_PIP_COMPILE=( - uv pip compile --generate-hashes --strip-extras - --unsafe-package ray - # setuptools should not be pinned. - --unsafe-package setuptools - --index-url "https://pypi.org/simple" - --extra-index-url "https://download.pytorch.org/whl/${CUDA_CODE}" - --index-strategy unsafe-best-match - --no-strip-markers - --emit-index-url - --emit-find-links - ) - - mkdir -p /tmp/ray-deps - - # Remove the GPU constraints - cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt - sed -i '/^--extra-index-url /d' /tmp/ray-deps/requirements_compiled.txt - sed -i '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt - - # First, extract base test dependencies from the current compiled mono repo one. - # This also expands to the indirect dependencies for this Python version & platform. - # - # Needs to use the exact torch version. - echo "--- Compile ray base test dependencies" - "${UV_PIP_COMPILE[@]}" \ - -c "/tmp/ray-deps/requirements_compiled.txt" \ - "python/requirements.txt" \ - "python/requirements/cloud-requirements.txt" \ - "python/requirements/base-test-requirements.txt" \ - -o "python/requirements_compiled_ray_test_${PYTHON_CUDA_CODE}.txt" - - # Second, expand it into LLM test dependencies - echo "--- Compile LLM test dependencies" - "${UV_PIP_COMPILE[@]}" \ - -c "python/requirements_compiled_ray_test_${PYTHON_CUDA_CODE}.txt" \ - "python/requirements.txt" \ - "python/requirements/cloud-requirements.txt" \ - "python/requirements/base-test-requirements.txt" \ - "python/requirements/llm/llm-requirements.txt" \ - "python/requirements/llm/llm-test-requirements.txt" \ - -o "python/requirements_compiled_rayllm_test_${PYTHON_CUDA_CODE}.txt" - - # Third, extract the ray base dependencies from ray base test dependencies. - # TODO(aslonnie): This should be used for installing ray in the container images. - echo "--- Compile ray base dependencies" - "${UV_PIP_COMPILE[@]}" \ - -c "python/requirements_compiled_ray_test_${PYTHON_CUDA_CODE}.txt" \ - "python/requirements.txt" \ - -o "python/requirements_compiled_ray_${PYTHON_CUDA_CODE}.txt" - - # Finally, extract the LLM dependencies from the LLM test dependencies, - # which is also an expansion of the ray base dependencies. - # TODO(aslonnie): This should be used for installing ray[llm] in the container images. - echo "--- Compile LLM dependencies" - "${UV_PIP_COMPILE[@]}" \ - -c "python/requirements_compiled_rayllm_test_${PYTHON_CUDA_CODE}.txt" \ - "python/requirements.txt" \ - "python/requirements/llm/llm-requirements.txt" \ - -o "python/requirements_compiled_rayllm_${PYTHON_CUDA_CODE}.txt" -done +bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayllm.depsets.yaml echo "--- Done" diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 79872c2b3387..867e33c21060 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -12,14 +12,14 @@ DEFAULT_UV_FLAGS = """ --generate-hashes --strip-extras - --no-strip-markers - --emit-index-url - --emit-find-links --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match + --no-strip-markers + --emit-index-url + --emit-find-links --quiet """.split() @@ -166,15 +166,15 @@ def compile( if override_flags: args = _override_uv_flags(override_flags, args) if append_flags: - args = _append_uv_flags(append_flags, args) + args.extend(_flatten_flags(append_flags)) if constraints: for constraint in constraints: - args.extend(["-c", self.get_path(constraint)]) + args.extend(["-c", constraint]) if requirements: for requirement in requirements: - args.extend([self.get_path(requirement)]) + args.extend([requirement]) if output: - args.extend(["-o", self.get_path(output)]) + args.extend(["-o", output]) self.exec_uv_cmd("compile", args) def subset( @@ -271,11 +271,6 @@ def _override_uv_flags(flags: List[str], args: List[str]) -> List[str]: return new_args + _flatten_flags(flags) -def _append_uv_flags(flags: List[str], args: List[str]) -> List[str]: - args.extend(flags) - return args - - def _uv_binary(): r = runfiles.Create() system = platform.system() diff --git a/ci/raydepsets/ray.depsets.yaml b/ci/raydepsets/ray.depsets.yaml deleted file mode 100644 index a6b5c0a33a12..000000000000 --- a/ci/raydepsets/ray.depsets.yaml +++ /dev/null @@ -1,27 +0,0 @@ -depsets: - - name: subset_general_depset - operation: subset - source_depset: general_depset - requirements: - - python/requirements/cloud-requirements.txt - output: ci/raydepsets/test/requirements_compiled_subset_general_py311_cpu.txt - - name: ray_base_test_depset - requirements: - - python/requirements.txt - - python/requirements/cloud-requirements.txt - - python/requirements/base-test-requirements.txt - constraints: - - python/requirements_compiled_ray_test_py311_cpu.txt - output: ci/raydepsets/test/requirements_compiled_ray_test_py311_cpu.txt - operation: compile - - name: general_depset - operation: compile - requirements: - - python/requirements.txt - output: python/test/requirements_compiled_general_py311_cpu.txt - - name: subset_general_depset - operation: subset - source_depset: general_depset - requirements: - - ci/raydepsets/cloud-requirements.txt - output: python/test/requirements_compiled_subset_general_py311_cpu.txt diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml new file mode 100644 index 000000000000..e2a7a030b5e1 --- /dev/null +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -0,0 +1,68 @@ +build_arg_sets: + cpu: + PYTHON_VERSION: py311 + CUDA_CODE: cpu + cu121: + PYTHON_VERSION: py311 + CUDA_CODE: cu121 + cu128: + PYTHON_VERSION: py311 + CUDA_CODE: cu128 + + +.common_settings: &common_settings + override_flags: + - --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE} + append_flags: + - --python-version=3.11 + build_arg_sets: + - cpu + - cu121 + - cu128 + +depsets: +# First, extract base test dependencies from the current compiled mono repo one. +# This also expands to the indirect dependencies for this Python version & platform. + - name: ray_base_test_depset_${PYTHON_VERSION}_${CUDA_CODE} + <<: *common_settings + requirements: + - python/requirements.txt + - python/requirements/cloud-requirements.txt + - python/requirements/base-test-requirements.txt + constraints: + - /tmp/ray-deps/requirements_compiled.txt + output: python/requirements_compiled_ray_test_${PYTHON_VERSION}_${CUDA_CODE}.txt + operation: compile + +# Second, expand it into LLM test dependencies. + - name: compiled_ray_llm_test_depset_${PYTHON_VERSION}_${CUDA_CODE} + <<: *common_settings + operation: expand + requirements: + - python/requirements.txt + - python/requirements/cloud-requirements.txt + - python/requirements/base-test-requirements.txt + - python/requirements/llm/llm-requirements.txt + - python/requirements/llm/llm-test-requirements.txt + constraints: + - python/requirements_compiled_ray_test_${PYTHON_VERSION}_${CUDA_CODE}.txt + output: python/requirements_compiled_rayllm_test_${PYTHON_VERSION}_${CUDA_CODE}.txt + +# Third, subset the base test dependencies into Ray dependencies. + - name: compiled_ray_depset_${PYTHON_VERSION}_${CUDA_CODE} + <<: *common_settings + operation: subset + source_depset: ray_base_test_depset_${PYTHON_VERSION}_${CUDA_CODE} + requirements: + - python/requirements.txt + output: python/requirements_compiled_ray_${PYTHON_VERSION}_${CUDA_CODE}.txt + +# Fourth, subset the LLM test dependencies into RayLLM dependencies. + - name: compiled_ray_llm_depset_${PYTHON_VERSION}_${CUDA_CODE} + <<: *common_settings + operation: subset + source_depset: compiled_ray_llm_test_depset_${PYTHON_VERSION}_${CUDA_CODE} + requirements: + - python/requirements.txt + - python/requirements/llm/llm-requirements.txt + output: python/requirements_compiled_rayllm_${PYTHON_VERSION}_${CUDA_CODE}.txt diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 6401b8d766be..421a12b3c132 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -14,7 +14,6 @@ from ci.raydepsets.cli import ( DEFAULT_UV_FLAGS, DependencySetManager, - _append_uv_flags, _flatten_flags, _get_depset, _override_uv_flags, @@ -151,6 +150,27 @@ def test_compile_update_package(self): output_text_valid = output_file_valid.read_text() assert output_text == output_text_valid + def test_compile_with_append_and_override_flags(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + append_flags=["--no-annotate", "--python-version 3.10"], + override_flags=["--extra-index-url https://dummyurl.com"], + name="ray_base_test_depset", + output="requirements_compiled.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled.txt" + output_text = output_file.read_text() + assert "--python-version 3.10" in output_text + assert "--extra-index-url https://dummyurl.com" in output_text + assert ( + "--extra-index-url https://download.pytorch.org/whl/cu128" + not in output_text + ) + def test_compile_by_depset_name(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) @@ -276,11 +296,6 @@ def test_get_path(self): == f"{tmpdir}/requirements_test.txt" ) - def test_append_uv_flags(self): - assert _append_uv_flags( - ["--no-annotate", "--no-header"], DEFAULT_UV_FLAGS.copy() - ) == DEFAULT_UV_FLAGS.copy() + ["--no-annotate", "--no-header"] - def test_override_uv_flag_single_flag(self): expected_flags = DEFAULT_UV_FLAGS.copy() expected_flags.remove("--extra-index-url") diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index 6351add67743..80a4a8d0a044 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -2,11 +2,6 @@ set -e -# Install uv and set up Python -pip install uv -uv python install 3.11 -uv python pin 3.11 - # Create a temporary directory for backup files and setup cleanup trap TEMP_DIR=$(mktemp -d) cleanup() { diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index 5148759ee51f..d8911ad845de 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index 7d1d3712bf1d..7bf7aa57a1a7 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index aa408bf03239..c126614250e6 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index 490288181590..d7a2552b6dc4 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index 56fc67650c57..ec4ae33bcdb5 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index c103a02fea12..f27f420acd03 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 0b8df56dcfc6..21c5a9872eff 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 0e2ca1879291..530878b8b211 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index 236ed1153440..e7ec34152746 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 5c2a97b2d58f..0fd5d38ace03 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index d80ae177859f..c89112408569 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index a589ed8ebe0a..9bcf8ad47312 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 From 277e39b57f290893938317c3c35e4ca068e586d7 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 15 Aug 2025 14:54:28 -0500 Subject: [PATCH 0724/1566] [serve] Fix easy `ray._private` dependency (#55659) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/runtime_context.py | 1 + python/ray/serve/tests/test_persistence.py | 7 ++++--- python/ray/serve/tests/test_serve_ha.py | 2 +- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/python/ray/runtime_context.py b/python/ray/runtime_context.py index 567b7ac2c7e7..5257c9688a80 100644 --- a/python/ray/runtime_context.py +++ b/python/ray/runtime_context.py @@ -501,6 +501,7 @@ def current_actor(self): @property def gcs_address(self): """Get the GCS address of the ray cluster. + Returns: The GCS address of the cluster. """ diff --git a/python/ray/serve/tests/test_persistence.py b/python/ray/serve/tests/test_persistence.py index f2a79348791b..0c924ccb817d 100644 --- a/python/ray/serve/tests/test_persistence.py +++ b/python/ray/serve/tests/test_persistence.py @@ -4,7 +4,8 @@ def test_new_driver(serve_instance): - script = """ + run_string_as_driver( + """ import ray ray.init(address="{}", namespace="default_test_namespace") @@ -16,9 +17,9 @@ def driver(): serve.run(driver.bind(), name="app") """.format( - ray._private.worker._global_node.address + ray.get_runtime_context().gcs_address, + ) ) - run_string_as_driver(script) handle = serve.get_app_handle("app") assert handle.remote().result() == "OK!" diff --git a/python/ray/serve/tests/test_serve_ha.py b/python/ray/serve/tests/test_serve_ha.py index a15cff0a3a47..6af3593b50a4 100644 --- a/python/ray/serve/tests/test_serve_ha.py +++ b/python/ray/serve/tests/test_serve_ha.py @@ -109,7 +109,7 @@ def check_for_head_node_come_back_up(): import ray import requests from ray.serve.schema import ServeInstanceDetails -from ray._private.resource_and_label_spec import HEAD_NODE_RESOURCE_NAME +from ray._common.constants import HEAD_NODE_RESOURCE_NAME ray.init(address="auto") head_node_id = ray.get_runtime_context().get_node_id() serve_details = ServeInstanceDetails( From 3dbd503aa3833335e4bc018ba9ca246c84c4dc19 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 15 Aug 2025 13:30:44 -0700 Subject: [PATCH 0725/1566] [Core] Simplify get_event_aggregator_grpc_stub to not depend on webui_url (#55640) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../aggregator/tests/test_aggregator_agent.py | 37 +++++++++---------- python/ray/tests/test_metrics_agent.py | 2 +- 2 files changed, 19 insertions(+), 20 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index f7f1735110ba..2b974f87618c 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -14,10 +14,8 @@ from ray._raylet import GcsClient import ray.dashboard.consts as dashboard_consts from ray._private.test_utils import ( - wait_until_server_available, find_free_port, ) -from ray._common.network_utils import parse_address, build_address from ray.core.generated.events_event_aggregator_service_pb2_grpc import ( EventAggregatorServiceStub, @@ -69,23 +67,24 @@ def fake_timestamp(): ) -def get_event_aggregator_grpc_stub(webui_url, gcs_address, head_node_id): +def get_event_aggregator_grpc_stub(gcs_address, head_node_id): """ An helper function to get the gRPC stub for the event aggregator agent. Should only be used in tests. """ - ip, _ = parse_address(webui_url) - agent_address = build_address(ip, ray_constants.DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) - assert wait_until_server_available(agent_address) gcs_address = gcs_address gcs_client = GcsClient(address=gcs_address) - agent_addr = gcs_client.internal_kv_get( - f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{head_node_id}".encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, - ) - ip, http_port, grpc_port = json.loads(agent_addr) + + def get_addr(): + return gcs_client.internal_kv_get( + f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{head_node_id}".encode(), + namespace=ray_constants.KV_NAMESPACE_DASHBOARD, + timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, + ) + + wait_for_condition(lambda: get_addr() is not None) + ip, _, grpc_port = json.loads(get_addr()) options = ray_constants.GLOBAL_GRPC_OPTIONS channel = init_grpc_channel(f"{ip}:{grpc_port}", options=options) return EventAggregatorServiceStub(channel) @@ -120,7 +119,7 @@ def test_aggregator_agent_receive_publish_events_normally( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) @@ -175,7 +174,7 @@ def test_aggregator_agent_receive_event_full( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) @@ -222,7 +221,7 @@ def test_aggregator_agent_receive_multiple_events( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) @@ -279,7 +278,7 @@ def test_aggregator_agent_receive_multiple_events_failures( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) request = AddEventsRequest( @@ -326,7 +325,7 @@ def test_aggregator_agent_receive_empty_events( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) request = AddEventsRequest( @@ -347,7 +346,7 @@ def test_aggregator_agent_profile_events_not_exposed( """Test that profile events are not sent when not in exposable event types.""" cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) @@ -401,7 +400,7 @@ def test_aggregator_agent_receive_profile_events( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 4ce83269cc69..9f5fbc059431 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -489,7 +489,7 @@ def test_metrics_export_event_aggregator_agent( ): cluster = ray_start_cluster_head_with_env_vars stub = get_event_aggregator_grpc_stub( - cluster.webui_url, cluster.gcs_address, cluster.head_node.node_id + cluster.gcs_address, cluster.head_node.node_id ) httpserver.expect_request("/", method="POST").respond_with_data("", status=200) From 9cc4a65b6db4218a212b8ff3404e24bc63e70973 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 15 Aug 2025 16:48:53 -0500 Subject: [PATCH 0726/1566] [core] Unify test directory layout on `.../tests/` (#55652) We currently have multiple different patterns for test files: - `*_test.cc` in the same file as the implementation. - `test/*_test.cc` (with `BUILD.bazel` in the test dir or sometimes in the parent dir). - `tests/*_test.cc` (with `BUILD.bazel` in the test dir or sometimes in the parent dir). Unifying on: - `tests/*_test.cc` - `tests/BUILD.bazel` for test targets --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 13 +-- .../common/cgroup/{test => tests}/BUILD.bazel | 10 +- .../{test => tests}/cgroup_test_utils.cc | 4 +- .../{test => tests}/cgroup_test_utils.h | 0 .../{test => tests}/cgroup_v2_setup_test.cc | 6 +- .../cgroup_v2_utils_privileged_test.cc | 2 +- .../cgroup_v2_utils_unprivileged_test.cc | 2 +- .../{test => tests}/fake_cgroup_setup_test.cc | 2 +- .../cgroup2/{test => tests}/BUILD.bazel | 2 +- .../{test => tests}/cgroup_test_utils.cc | 2 +- .../{test => tests}/cgroup_test_utils.h | 0 .../sysfs_cgroup_driver_test.cc | 2 +- src/ray/common/{test => tests}/BUILD.bazel | 11 ++ .../common/{test => tests}/asio_defer_test.cc | 0 .../bundle_location_index_test.cc | 0 .../{test => tests}/event_stats_test.cc | 0 .../common/{test => tests}/grpc_util_test.cc | 0 src/ray/common/{test => tests}/id_test.cc | 0 .../{test => tests}/label_selector_test.cc | 0 .../{test => tests}/memory_monitor_test.cc | 0 .../common/{test => tests}/postable_test.cc | 0 .../common/{test => tests}/ray_config_test.cc | 0 .../common/{test => tests}/ray_syncer_test.cc | 0 .../resource_instance_set_test.cc | 0 .../{test => tests}/resource_request_test.cc | 0 .../{test => tests}/resource_set_test.cc | 0 .../{test => tests}/scheduling_ids_test.cc | 0 .../{ => tests}/source_location_test.cc | 2 +- .../common/{test => tests}/status_or_test.cc | 2 +- src/ray/common/{test => tests}/status_test.cc | 0 .../syncer_service_e2e_test.cc | 0 .../common/{test => tests}/task_spec_test.cc | 0 src/ray/common/{test => tests}/testing.h | 0 .../{test => tests}/BUILD.bazel | 0 .../concurrency_group_manager_test.cc | 0 .../{test => tests}/fiber_state_test.cc | 0 .../{test => tests}/scheduling_queue_test.cc | 0 .../{test => tests}/task_receiver_test.cc | 0 .../{test => tests}/thread_pool_test.cc | 0 .../{test => tests}/BUILD.bazel | 0 .../actor_task_submitter_test.cc | 0 .../dependency_resolver_test.cc | 0 .../direct_actor_transport_test.cc | 0 .../normal_task_submitter_test.cc | 0 .../out_of_order_actor_submit_queue_test.cc | 0 .../core_worker/{test => tests}/BUILD.bazel | 0 .../{test => tests}/actor_creator_test.cc | 0 .../{test => tests}/actor_manager_test.cc | 0 .../core_worker_resubmit_queue_test.cc | 0 .../{test => tests}/core_worker_test.cc | 0 .../{test => tests}/generator_waiter_test.cc | 0 .../{test => tests}/lease_policy_test.cc | 0 .../{test => tests}/memory_store_test.cc | 0 .../mutable_object_provider_test.cc | 0 .../object_recovery_manager_test.cc | 0 .../{test => tests}/reference_count_test.cc | 0 .../task_event_buffer_export_event_test.cc | 0 .../{test => tests}/task_event_buffer_test.cc | 0 .../{test => tests}/task_manager_test.cc | 0 .../gcs_client/{test => tests}/BUILD.bazel | 8 +- .../{test => tests}/accessor_test.cc | 0 .../gcs_client_reconnection_test.cc | 2 +- .../{test => tests}/gcs_client_test.cc | 2 +- .../global_state_accessor_test.cc | 2 +- .../gcs_server/{test => tests}/BUILD.bazel | 42 +++---- .../gcs_actor_manager_export_event_test.cc | 4 +- .../gcs_job_manager_export_event_test.cc | 4 +- .../gcs_node_manager_export_event_test.cc | 4 +- .../{test => tests}/gcs_actor_manager_test.cc | 4 +- .../gcs_actor_scheduler_mock_test.cc | 0 .../gcs_actor_scheduler_test.cc | 4 +- .../gcs_autoscaler_state_manager_test.cc | 4 +- .../gcs_function_manager_test.cc | 0 .../gcs_health_check_manager_test.cc | 0 .../{test => tests}/gcs_job_manager_test.cc | 4 +- .../{test => tests}/gcs_kv_manager_test.cc | 0 .../{test => tests}/gcs_node_manager_test.cc | 4 +- .../gcs_placement_group_mgr_mock_test.cc | 2 +- .../gcs_placement_group_mgr_test.cc | 4 +- .../gcs_placement_group_scheduler_test.cc | 4 +- .../gcs_resource_manager_test.cc | 2 +- .../{test => tests}/gcs_server_rpc_test.cc | 2 +- .../{test => tests}/gcs_server_test_util.h | 0 .../gcs_table_storage_test_base.h | 2 +- .../{test => tests}/gcs_task_manager_test.cc | 2 +- .../gcs_worker_manager_test.cc | 4 +- .../in_memory_gcs_table_storage_test.cc | 2 +- .../redis_gcs_table_storage_test.cc | 2 +- .../usage_stats_client_test.cc | 0 .../store_client/{test => tests}/BUILD.bazel | 0 .../in_memory_store_client_test.cc | 2 +- .../observable_store_client_test.cc | 2 +- .../redis_store_client_test.cc | 2 +- .../{test => tests}/store_client_test_base.h | 0 src/ray/gcs/{test => tests}/BUILD.bazel | 0 .../{test => tests}/callback_reply_test.cc | 0 src/ray/gcs/{test => tests}/gcs_test_util.h | 0 .../redis_async_context_test.cc | 0 src/ray/ipc/{test => tests}/BUILD.bazel | 0 .../{test => tests}/client_connection_test.cc | 0 .../plasma/{test => tests}/BUILD.bazel | 0 .../{test => tests}/eviction_policy_test.cc | 0 .../fallback_allocator_test.cc | 0 .../{test => tests}/mutable_object_test.cc | 0 .../{test => tests}/obj_lifecycle_mgr_test.cc | 0 .../{test => tests}/object_store_test.cc | 0 .../{test => tests}/stats_collector_test.cc | 0 .../{test => tests}/BUILD.bazel | 0 .../create_request_queue_test.cc | 0 .../{test => tests}/get_request_queue_test.cc | 0 .../object_buffer_pool_test.cc | 0 .../ownership_object_directory_test.cc | 0 .../{test => tests}/pull_manager_test.cc | 0 .../{test => tests}/push_manager_test.cc | 0 .../{test => tests}/spilled_object_test.cc | 0 src/ray/pubsub/{test => tests}/BUILD.bazel | 0 .../{test => tests}/integration_test.cc | 0 .../pubsub/{test => tests}/publisher_test.cc | 0 .../pubsub/{test => tests}/subscriber_test.cc | 0 src/ray/raylet/scheduling/BUILD.bazel | 109 +----------------- .../scheduling/policy/tests/BUILD.bazel | 30 +++++ .../hybrid_scheduling_policy_test.cc | 0 .../{ => tests}/scheduling_policy_test.cc | 0 src/ray/raylet/scheduling/tests/BUILD.bazel | 79 +++++++++++++ .../cluster_resource_manager_test.cc | 0 .../cluster_resource_scheduler_2_test.cc | 0 .../cluster_resource_scheduler_test.cc | 0 .../{ => tests}/cluster_task_manager_test.cc | 2 +- .../local_resource_manager_test.cc | 0 src/ray/raylet/{test => tests}/BUILD.bazel | 2 +- .../dependency_manager_test.cc | 0 .../local_object_manager_test.cc | 2 +- .../local_task_manager_test.cc | 2 +- .../{test => tests}/node_manager_test.cc | 2 +- .../placement_group_resource_manager_test.cc | 2 +- .../runtime_env_agent_client_test.cc | 0 src/ray/raylet/{test => tests}/util.h | 0 .../{test => tests}/wait_manager_test.cc | 0 ...rker_killing_policy_group_by_owner_test.cc | 2 +- ...rker_killing_policy_retriable_fifo_test.cc | 2 +- .../worker_killing_policy_test.cc | 2 +- .../{test => tests}/worker_pool_test.cc | 0 .../node_manager/{test => tests}/BUILD.bazel | 0 .../raylet_client_pool_test.cc | 0 src/ray/rpc/{test => tests}/BUILD.bazel | 0 .../core_worker_client_pool_test.cc | 0 .../{test => tests}/grpc_bench/BUILD.bazel | 0 .../rpc/{test => tests}/grpc_bench/Dockerfile | 0 src/ray/rpc/{test => tests}/grpc_bench/README | 0 .../{test => tests}/grpc_bench/grpc_bench.cc | 0 .../grpc_bench/helloworld.proto | 0 .../grpc_server_client_test.cc | 0 src/ray/rpc/{test => tests}/rpc_chaos_test.cc | 0 src/ray/stats/BUILD.bazel | 33 +----- src/ray/stats/tests/BUILD.bazel | 31 +++++ .../{ => tests}/metric_exporter_grpc_test.cc | 0 src/ray/stats/{ => tests}/stats_test.cc | 0 src/ray/util/internal/tests/BUILD.bazel | 2 +- .../tests/stream_redirection_handle_test.cc | 2 +- src/ray/util/tests/BUILD.bazel | 10 +- src/ray/util/tests/pipe_logger_test.cc | 2 +- src/ray/util/tests/process_cleanup_test.cc | 2 +- .../util/tests/scoped_dup2_wrapper_test.cc | 2 +- .../util/tests/spdlog_newliner_sink_test.cc | 2 +- .../tests/stream_redirection_exit_test.cc | 2 +- 165 files changed, 253 insertions(+), 251 deletions(-) rename src/ray/common/cgroup/{test => tests}/BUILD.bazel (89%) rename src/ray/common/cgroup/{test => tests}/cgroup_test_utils.cc (93%) rename src/ray/common/cgroup/{test => tests}/cgroup_test_utils.h (100%) rename src/ray/common/cgroup/{test => tests}/cgroup_v2_setup_test.cc (96%) rename src/ray/common/cgroup/{test => tests}/cgroup_v2_utils_privileged_test.cc (97%) rename src/ray/common/cgroup/{test => tests}/cgroup_v2_utils_unprivileged_test.cc (97%) rename src/ray/common/cgroup/{test => tests}/fake_cgroup_setup_test.cc (98%) rename src/ray/common/cgroup2/{test => tests}/BUILD.bazel (95%) rename src/ray/common/cgroup2/{test => tests}/cgroup_test_utils.cc (98%) rename src/ray/common/cgroup2/{test => tests}/cgroup_test_utils.h (100%) rename src/ray/common/cgroup2/{test => tests}/sysfs_cgroup_driver_test.cc (98%) rename src/ray/common/{test => tests}/BUILD.bazel (95%) rename src/ray/common/{test => tests}/asio_defer_test.cc (100%) rename src/ray/common/{test => tests}/bundle_location_index_test.cc (100%) rename src/ray/common/{test => tests}/event_stats_test.cc (100%) rename src/ray/common/{test => tests}/grpc_util_test.cc (100%) rename src/ray/common/{test => tests}/id_test.cc (100%) rename src/ray/common/{test => tests}/label_selector_test.cc (100%) rename src/ray/common/{test => tests}/memory_monitor_test.cc (100%) rename src/ray/common/{test => tests}/postable_test.cc (100%) rename src/ray/common/{test => tests}/ray_config_test.cc (100%) rename src/ray/common/{test => tests}/ray_syncer_test.cc (100%) rename src/ray/common/{test => tests}/resource_instance_set_test.cc (100%) rename src/ray/common/{test => tests}/resource_request_test.cc (100%) rename src/ray/common/{test => tests}/resource_set_test.cc (100%) rename src/ray/common/{test => tests}/scheduling_ids_test.cc (100%) rename src/ray/common/{ => tests}/source_location_test.cc (93%) rename src/ray/common/{test => tests}/status_or_test.cc (99%) rename src/ray/common/{test => tests}/status_test.cc (100%) rename src/ray/common/{test => tests}/syncer_service_e2e_test.cc (100%) rename src/ray/common/{test => tests}/task_spec_test.cc (100%) rename src/ray/common/{test => tests}/testing.h (100%) rename src/ray/core_worker/task_execution/{test => tests}/BUILD.bazel (100%) rename src/ray/core_worker/task_execution/{test => tests}/concurrency_group_manager_test.cc (100%) rename src/ray/core_worker/task_execution/{test => tests}/fiber_state_test.cc (100%) rename src/ray/core_worker/task_execution/{test => tests}/scheduling_queue_test.cc (100%) rename src/ray/core_worker/task_execution/{test => tests}/task_receiver_test.cc (100%) rename src/ray/core_worker/task_execution/{test => tests}/thread_pool_test.cc (100%) rename src/ray/core_worker/task_submission/{test => tests}/BUILD.bazel (100%) rename src/ray/core_worker/task_submission/{test => tests}/actor_task_submitter_test.cc (100%) rename src/ray/core_worker/task_submission/{test => tests}/dependency_resolver_test.cc (100%) rename src/ray/core_worker/task_submission/{test => tests}/direct_actor_transport_test.cc (100%) rename src/ray/core_worker/task_submission/{test => tests}/normal_task_submitter_test.cc (100%) rename src/ray/core_worker/task_submission/{test => tests}/out_of_order_actor_submit_queue_test.cc (100%) rename src/ray/core_worker/{test => tests}/BUILD.bazel (100%) rename src/ray/core_worker/{test => tests}/actor_creator_test.cc (100%) rename src/ray/core_worker/{test => tests}/actor_manager_test.cc (100%) rename src/ray/core_worker/{test => tests}/core_worker_resubmit_queue_test.cc (100%) rename src/ray/core_worker/{test => tests}/core_worker_test.cc (100%) rename src/ray/core_worker/{test => tests}/generator_waiter_test.cc (100%) rename src/ray/core_worker/{test => tests}/lease_policy_test.cc (100%) rename src/ray/core_worker/{test => tests}/memory_store_test.cc (100%) rename src/ray/core_worker/{test => tests}/mutable_object_provider_test.cc (100%) rename src/ray/core_worker/{test => tests}/object_recovery_manager_test.cc (100%) rename src/ray/core_worker/{test => tests}/reference_count_test.cc (100%) rename src/ray/core_worker/{test => tests}/task_event_buffer_export_event_test.cc (100%) rename src/ray/core_worker/{test => tests}/task_event_buffer_test.cc (100%) rename src/ray/core_worker/{test => tests}/task_manager_test.cc (100%) rename src/ray/gcs/gcs_client/{test => tests}/BUILD.bazel (91%) rename src/ray/gcs/gcs_client/{test => tests}/accessor_test.cc (100%) rename src/ray/gcs/gcs_client/{test => tests}/gcs_client_reconnection_test.cc (99%) rename src/ray/gcs/gcs_client/{test => tests}/gcs_client_test.cc (99%) rename src/ray/gcs/gcs_client/{test => tests}/global_state_accessor_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/BUILD.bazel (88%) rename src/ray/gcs/gcs_server/{test => tests}/export_api/gcs_actor_manager_export_event_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/export_api/gcs_job_manager_export_event_test.cc (98%) rename src/ray/gcs/gcs_server/{test => tests}/export_api/gcs_node_manager_export_event_test.cc (98%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_actor_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_actor_scheduler_mock_test.cc (100%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_actor_scheduler_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_autoscaler_state_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_function_manager_test.cc (100%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_health_check_manager_test.cc (100%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_job_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_kv_manager_test.cc (100%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_node_manager_test.cc (98%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_placement_group_mgr_mock_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_placement_group_mgr_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_placement_group_scheduler_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_resource_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_server_rpc_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_server_test_util.h (100%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_table_storage_test_base.h (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_task_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/gcs_worker_manager_test.cc (99%) rename src/ray/gcs/gcs_server/{test => tests}/in_memory_gcs_table_storage_test.cc (94%) rename src/ray/gcs/gcs_server/{test => tests}/redis_gcs_table_storage_test.cc (96%) rename src/ray/gcs/gcs_server/{test => tests}/usage_stats_client_test.cc (100%) rename src/ray/gcs/store_client/{test => tests}/BUILD.bazel (100%) rename src/ray/gcs/store_client/{test => tests}/in_memory_store_client_test.cc (95%) rename src/ray/gcs/store_client/{test => tests}/observable_store_client_test.cc (95%) rename src/ray/gcs/store_client/{test => tests}/redis_store_client_test.cc (99%) rename src/ray/gcs/store_client/{test => tests}/store_client_test_base.h (100%) rename src/ray/gcs/{test => tests}/BUILD.bazel (100%) rename src/ray/gcs/{test => tests}/callback_reply_test.cc (100%) rename src/ray/gcs/{test => tests}/gcs_test_util.h (100%) rename src/ray/gcs/{test => tests}/redis_async_context_test.cc (100%) rename src/ray/ipc/{test => tests}/BUILD.bazel (100%) rename src/ray/ipc/{test => tests}/client_connection_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/BUILD.bazel (100%) rename src/ray/object_manager/plasma/{test => tests}/eviction_policy_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/fallback_allocator_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/mutable_object_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/obj_lifecycle_mgr_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/object_store_test.cc (100%) rename src/ray/object_manager/plasma/{test => tests}/stats_collector_test.cc (100%) rename src/ray/object_manager/{test => tests}/BUILD.bazel (100%) rename src/ray/object_manager/{test => tests}/create_request_queue_test.cc (100%) rename src/ray/object_manager/{test => tests}/get_request_queue_test.cc (100%) rename src/ray/object_manager/{test => tests}/object_buffer_pool_test.cc (100%) rename src/ray/object_manager/{test => tests}/ownership_object_directory_test.cc (100%) rename src/ray/object_manager/{test => tests}/pull_manager_test.cc (100%) rename src/ray/object_manager/{test => tests}/push_manager_test.cc (100%) rename src/ray/object_manager/{test => tests}/spilled_object_test.cc (100%) rename src/ray/pubsub/{test => tests}/BUILD.bazel (100%) rename src/ray/pubsub/{test => tests}/integration_test.cc (100%) rename src/ray/pubsub/{test => tests}/publisher_test.cc (100%) rename src/ray/pubsub/{test => tests}/subscriber_test.cc (100%) create mode 100644 src/ray/raylet/scheduling/policy/tests/BUILD.bazel rename src/ray/raylet/scheduling/policy/{ => tests}/hybrid_scheduling_policy_test.cc (100%) rename src/ray/raylet/scheduling/policy/{ => tests}/scheduling_policy_test.cc (100%) create mode 100644 src/ray/raylet/scheduling/tests/BUILD.bazel rename src/ray/raylet/scheduling/{ => tests}/cluster_resource_manager_test.cc (100%) rename src/ray/raylet/scheduling/{ => tests}/cluster_resource_scheduler_2_test.cc (100%) rename src/ray/raylet/scheduling/{ => tests}/cluster_resource_scheduler_test.cc (100%) rename src/ray/raylet/scheduling/{ => tests}/cluster_task_manager_test.cc (99%) rename src/ray/raylet/scheduling/{ => tests}/local_resource_manager_test.cc (100%) rename src/ray/raylet/{test => tests}/BUILD.bazel (99%) rename src/ray/raylet/{test => tests}/dependency_manager_test.cc (100%) rename src/ray/raylet/{test => tests}/local_object_manager_test.cc (99%) rename src/ray/raylet/{test => tests}/local_task_manager_test.cc (99%) rename src/ray/raylet/{test => tests}/node_manager_test.cc (99%) rename src/ray/raylet/{test => tests}/placement_group_resource_manager_test.cc (99%) rename src/ray/raylet/{test => tests}/runtime_env_agent_client_test.cc (100%) rename src/ray/raylet/{test => tests}/util.h (100%) rename src/ray/raylet/{test => tests}/wait_manager_test.cc (100%) rename src/ray/raylet/{test => tests}/worker_killing_policy_group_by_owner_test.cc (99%) rename src/ray/raylet/{test => tests}/worker_killing_policy_retriable_fifo_test.cc (99%) rename src/ray/raylet/{test => tests}/worker_killing_policy_test.cc (99%) rename src/ray/raylet/{test => tests}/worker_pool_test.cc (100%) rename src/ray/rpc/node_manager/{test => tests}/BUILD.bazel (100%) rename src/ray/rpc/node_manager/{test => tests}/raylet_client_pool_test.cc (100%) rename src/ray/rpc/{test => tests}/BUILD.bazel (100%) rename src/ray/rpc/{test => tests}/core_worker_client_pool_test.cc (100%) rename src/ray/rpc/{test => tests}/grpc_bench/BUILD.bazel (100%) rename src/ray/rpc/{test => tests}/grpc_bench/Dockerfile (100%) rename src/ray/rpc/{test => tests}/grpc_bench/README (100%) rename src/ray/rpc/{test => tests}/grpc_bench/grpc_bench.cc (100%) rename src/ray/rpc/{test => tests}/grpc_bench/helloworld.proto (100%) rename src/ray/rpc/{test => tests}/grpc_server_client_test.cc (100%) rename src/ray/rpc/{test => tests}/rpc_chaos_test.cc (100%) rename src/ray/stats/{ => tests}/metric_exporter_grpc_test.cc (100%) rename src/ray/stats/{ => tests}/stats_test.cc (100%) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index aaa5dc7f6109..7e95589b69ad 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -1,4 +1,4 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( name = "compat", @@ -312,14 +312,3 @@ ray_cc_library( srcs = ["source_location.cc"], hdrs = ["source_location.h"], ) - -ray_cc_test( - name = "source_location_test", - size = "small", - srcs = ["source_location_test.cc"], - tags = ["team:core"], - deps = [ - ":source_location", - "@com_google_googletest//:gtest_main", - ], -) diff --git a/src/ray/common/cgroup/test/BUILD.bazel b/src/ray/common/cgroup/tests/BUILD.bazel similarity index 89% rename from src/ray/common/cgroup/test/BUILD.bazel rename to src/ray/common/cgroup/tests/BUILD.bazel index e0777ca2bec1..5ad80e0fe6aa 100644 --- a/src/ray/common/cgroup/test/BUILD.bazel +++ b/src/ray/common/cgroup/tests/BUILD.bazel @@ -12,7 +12,7 @@ ray_cc_test( ], deps = [ "//src/ray/common/cgroup:cgroup_setup", - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "@com_google_googletest//:gtest_main", ], ) @@ -28,7 +28,7 @@ ray_cc_test( ], deps = [ "//src/ray/common/cgroup:cgroup_setup", - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "@com_google_googletest//:gtest_main", ], ) @@ -42,7 +42,7 @@ ray_cc_test( ], deps = [ "//src/ray/common/cgroup:fake_cgroup_setup", - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "@com_google_googletest//:gtest_main", ], ) @@ -59,7 +59,7 @@ ray_cc_test( ":cgroup_test_utils", "//src/ray/common/cgroup:cgroup_setup", "//src/ray/common/cgroup:cgroup_utils", - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "@com_google_googletest//:gtest_main", ], ) @@ -70,7 +70,7 @@ ray_cc_library( srcs = ["cgroup_test_utils.cc"], hdrs = ["cgroup_test_utils.h"], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util:compat", "//src/ray/util:container_util", "//src/ray/util:filesystem", diff --git a/src/ray/common/cgroup/test/cgroup_test_utils.cc b/src/ray/common/cgroup/tests/cgroup_test_utils.cc similarity index 93% rename from src/ray/common/cgroup/test/cgroup_test_utils.cc rename to src/ray/common/cgroup/tests/cgroup_test_utils.cc index 3303c4270b75..bdc373fd69d6 100644 --- a/src/ray/common/cgroup/test/cgroup_test_utils.cc +++ b/src/ray/common/cgroup/tests/cgroup_test_utils.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/common/cgroup/test/cgroup_test_utils.h" +#include "ray/common/cgroup/tests/cgroup_test_utils.h" #include @@ -21,7 +21,7 @@ #include "absl/strings/str_split.h" #include "absl/strings/strip.h" -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/container_util.h" #include "ray/util/filesystem.h" diff --git a/src/ray/common/cgroup/test/cgroup_test_utils.h b/src/ray/common/cgroup/tests/cgroup_test_utils.h similarity index 100% rename from src/ray/common/cgroup/test/cgroup_test_utils.h rename to src/ray/common/cgroup/tests/cgroup_test_utils.h diff --git a/src/ray/common/cgroup/test/cgroup_v2_setup_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc similarity index 96% rename from src/ray/common/cgroup/test/cgroup_v2_setup_test.cc rename to src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc index 3feff7298d8a..1cc57433c9f3 100644 --- a/src/ray/common/cgroup/test/cgroup_v2_setup_test.cc +++ b/src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc @@ -20,7 +20,7 @@ // https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/managing_monitoring_and_updating_the_kernel/using-cgroups-v2-to-control-distribution-of-cpu-time-for-applications_managing-monitoring-and-updating-the-kernel#mounting-cgroups-v2_using-cgroups-v2-to-control-distribution-of-cpu-time-for-applications // // Execution command: -// sudo bazel-bin/src/ray/common/cgroup/test/cgroup_v2_setup_test +// sudo bazel-bin/src/ray/common/cgroup/tests/cgroup_v2_setup_test #include #include @@ -35,8 +35,8 @@ #include "ray/common/cgroup/cgroup_setup.h" #include "ray/common/cgroup/cgroup_utils.h" -#include "ray/common/cgroup/test/cgroup_test_utils.h" -#include "ray/common/test/testing.h" +#include "ray/common/cgroup/tests/cgroup_test_utils.h" +#include "ray/common/tests/testing.h" namespace ray { diff --git a/src/ray/common/cgroup/test/cgroup_v2_utils_privileged_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc similarity index 97% rename from src/ray/common/cgroup/test/cgroup_v2_utils_privileged_test.cc rename to src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc index ec1c12e4f8d5..14b0bf9182e7 100644 --- a/src/ray/common/cgroup/test/cgroup_v2_utils_privileged_test.cc +++ b/src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc @@ -15,7 +15,7 @@ #include #include "ray/common/cgroup/cgroup_setup.h" -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" namespace ray::internal { diff --git a/src/ray/common/cgroup/test/cgroup_v2_utils_unprivileged_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc similarity index 97% rename from src/ray/common/cgroup/test/cgroup_v2_utils_unprivileged_test.cc rename to src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc index 723f38bc4dfc..38626b4ca313 100644 --- a/src/ray/common/cgroup/test/cgroup_v2_utils_unprivileged_test.cc +++ b/src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc @@ -20,7 +20,7 @@ #include #include "ray/common/cgroup/cgroup_setup.h" -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" namespace ray::internal { diff --git a/src/ray/common/cgroup/test/fake_cgroup_setup_test.cc b/src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc similarity index 98% rename from src/ray/common/cgroup/test/fake_cgroup_setup_test.cc rename to src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc index 59c15dabb9ab..fd29f13391ec 100644 --- a/src/ray/common/cgroup/test/fake_cgroup_setup_test.cc +++ b/src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" namespace ray { diff --git a/src/ray/common/cgroup2/test/BUILD.bazel b/src/ray/common/cgroup2/tests/BUILD.bazel similarity index 95% rename from src/ray/common/cgroup2/test/BUILD.bazel rename to src/ray/common/cgroup2/tests/BUILD.bazel index e829d9c9e080..c31181a7ec2d 100644 --- a/src/ray/common/cgroup2/test/BUILD.bazel +++ b/src/ray/common/cgroup2/tests/BUILD.bazel @@ -26,7 +26,7 @@ ray_cc_test( "//src/ray/common:status", "//src/ray/common:status_or", "//src/ray/common/cgroup2:sysfs_cgroup_driver", - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/common/cgroup2/test/cgroup_test_utils.cc b/src/ray/common/cgroup2/tests/cgroup_test_utils.cc similarity index 98% rename from src/ray/common/cgroup2/test/cgroup_test_utils.cc rename to src/ray/common/cgroup2/tests/cgroup_test_utils.cc index e61ad82e633c..c31109dddb54 100644 --- a/src/ray/common/cgroup2/test/cgroup_test_utils.cc +++ b/src/ray/common/cgroup2/tests/cgroup_test_utils.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/common/cgroup2/test/cgroup_test_utils.h" +#include "ray/common/cgroup2/tests/cgroup_test_utils.h" #include #include diff --git a/src/ray/common/cgroup2/test/cgroup_test_utils.h b/src/ray/common/cgroup2/tests/cgroup_test_utils.h similarity index 100% rename from src/ray/common/cgroup2/test/cgroup_test_utils.h rename to src/ray/common/cgroup2/tests/cgroup_test_utils.h diff --git a/src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc similarity index 98% rename from src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc rename to src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc index 275a122e808f..a349be577616 100644 --- a/src/ray/common/cgroup2/test/sysfs_cgroup_driver_test.cc +++ b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc @@ -20,7 +20,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/cgroup2/test/cgroup_test_utils.h" +#include "ray/common/cgroup2/tests/cgroup_test_utils.h" #include "ray/common/status.h" #include "ray/common/status_or.h" diff --git a/src/ray/common/test/BUILD.bazel b/src/ray/common/tests/BUILD.bazel similarity index 95% rename from src/ray/common/test/BUILD.bazel rename to src/ray/common/tests/BUILD.bazel index ca25a451e3ea..cbb4211981b5 100644 --- a/src/ray/common/test/BUILD.bazel +++ b/src/ray/common/tests/BUILD.bazel @@ -243,3 +243,14 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "source_location_test", + size = "small", + srcs = ["source_location_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/common:source_location", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/test/asio_defer_test.cc b/src/ray/common/tests/asio_defer_test.cc similarity index 100% rename from src/ray/common/test/asio_defer_test.cc rename to src/ray/common/tests/asio_defer_test.cc diff --git a/src/ray/common/test/bundle_location_index_test.cc b/src/ray/common/tests/bundle_location_index_test.cc similarity index 100% rename from src/ray/common/test/bundle_location_index_test.cc rename to src/ray/common/tests/bundle_location_index_test.cc diff --git a/src/ray/common/test/event_stats_test.cc b/src/ray/common/tests/event_stats_test.cc similarity index 100% rename from src/ray/common/test/event_stats_test.cc rename to src/ray/common/tests/event_stats_test.cc diff --git a/src/ray/common/test/grpc_util_test.cc b/src/ray/common/tests/grpc_util_test.cc similarity index 100% rename from src/ray/common/test/grpc_util_test.cc rename to src/ray/common/tests/grpc_util_test.cc diff --git a/src/ray/common/test/id_test.cc b/src/ray/common/tests/id_test.cc similarity index 100% rename from src/ray/common/test/id_test.cc rename to src/ray/common/tests/id_test.cc diff --git a/src/ray/common/test/label_selector_test.cc b/src/ray/common/tests/label_selector_test.cc similarity index 100% rename from src/ray/common/test/label_selector_test.cc rename to src/ray/common/tests/label_selector_test.cc diff --git a/src/ray/common/test/memory_monitor_test.cc b/src/ray/common/tests/memory_monitor_test.cc similarity index 100% rename from src/ray/common/test/memory_monitor_test.cc rename to src/ray/common/tests/memory_monitor_test.cc diff --git a/src/ray/common/test/postable_test.cc b/src/ray/common/tests/postable_test.cc similarity index 100% rename from src/ray/common/test/postable_test.cc rename to src/ray/common/tests/postable_test.cc diff --git a/src/ray/common/test/ray_config_test.cc b/src/ray/common/tests/ray_config_test.cc similarity index 100% rename from src/ray/common/test/ray_config_test.cc rename to src/ray/common/tests/ray_config_test.cc diff --git a/src/ray/common/test/ray_syncer_test.cc b/src/ray/common/tests/ray_syncer_test.cc similarity index 100% rename from src/ray/common/test/ray_syncer_test.cc rename to src/ray/common/tests/ray_syncer_test.cc diff --git a/src/ray/common/test/resource_instance_set_test.cc b/src/ray/common/tests/resource_instance_set_test.cc similarity index 100% rename from src/ray/common/test/resource_instance_set_test.cc rename to src/ray/common/tests/resource_instance_set_test.cc diff --git a/src/ray/common/test/resource_request_test.cc b/src/ray/common/tests/resource_request_test.cc similarity index 100% rename from src/ray/common/test/resource_request_test.cc rename to src/ray/common/tests/resource_request_test.cc diff --git a/src/ray/common/test/resource_set_test.cc b/src/ray/common/tests/resource_set_test.cc similarity index 100% rename from src/ray/common/test/resource_set_test.cc rename to src/ray/common/tests/resource_set_test.cc diff --git a/src/ray/common/test/scheduling_ids_test.cc b/src/ray/common/tests/scheduling_ids_test.cc similarity index 100% rename from src/ray/common/test/scheduling_ids_test.cc rename to src/ray/common/tests/scheduling_ids_test.cc diff --git a/src/ray/common/source_location_test.cc b/src/ray/common/tests/source_location_test.cc similarity index 93% rename from src/ray/common/source_location_test.cc rename to src/ray/common/tests/source_location_test.cc index fe5c5b3078ec..74d938cee0d6 100644 --- a/src/ray/common/source_location_test.cc +++ b/src/ray/common/tests/source_location_test.cc @@ -35,7 +35,7 @@ TEST(SourceLocationTest, StringifyTest) { auto loc = RAY_LOC(); std::stringstream ss{}; ss << loc; - EXPECT_EQ(ss.str(), "src/ray/common/source_location_test.cc:35"); + EXPECT_EQ(ss.str(), "src/ray/common/tests/source_location_test.cc:35"); } } diff --git a/src/ray/common/test/status_or_test.cc b/src/ray/common/tests/status_or_test.cc similarity index 99% rename from src/ray/common/test/status_or_test.cc rename to src/ray/common/tests/status_or_test.cc index 4a5f41a4542e..5c20ab4e387a 100644 --- a/src/ray/common/test/status_or_test.cc +++ b/src/ray/common/tests/status_or_test.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" namespace ray { diff --git a/src/ray/common/test/status_test.cc b/src/ray/common/tests/status_test.cc similarity index 100% rename from src/ray/common/test/status_test.cc rename to src/ray/common/tests/status_test.cc diff --git a/src/ray/common/test/syncer_service_e2e_test.cc b/src/ray/common/tests/syncer_service_e2e_test.cc similarity index 100% rename from src/ray/common/test/syncer_service_e2e_test.cc rename to src/ray/common/tests/syncer_service_e2e_test.cc diff --git a/src/ray/common/test/task_spec_test.cc b/src/ray/common/tests/task_spec_test.cc similarity index 100% rename from src/ray/common/test/task_spec_test.cc rename to src/ray/common/tests/task_spec_test.cc diff --git a/src/ray/common/test/testing.h b/src/ray/common/tests/testing.h similarity index 100% rename from src/ray/common/test/testing.h rename to src/ray/common/tests/testing.h diff --git a/src/ray/core_worker/task_execution/test/BUILD.bazel b/src/ray/core_worker/task_execution/tests/BUILD.bazel similarity index 100% rename from src/ray/core_worker/task_execution/test/BUILD.bazel rename to src/ray/core_worker/task_execution/tests/BUILD.bazel diff --git a/src/ray/core_worker/task_execution/test/concurrency_group_manager_test.cc b/src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc similarity index 100% rename from src/ray/core_worker/task_execution/test/concurrency_group_manager_test.cc rename to src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc diff --git a/src/ray/core_worker/task_execution/test/fiber_state_test.cc b/src/ray/core_worker/task_execution/tests/fiber_state_test.cc similarity index 100% rename from src/ray/core_worker/task_execution/test/fiber_state_test.cc rename to src/ray/core_worker/task_execution/tests/fiber_state_test.cc diff --git a/src/ray/core_worker/task_execution/test/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc similarity index 100% rename from src/ray/core_worker/task_execution/test/scheduling_queue_test.cc rename to src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc diff --git a/src/ray/core_worker/task_execution/test/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc similarity index 100% rename from src/ray/core_worker/task_execution/test/task_receiver_test.cc rename to src/ray/core_worker/task_execution/tests/task_receiver_test.cc diff --git a/src/ray/core_worker/task_execution/test/thread_pool_test.cc b/src/ray/core_worker/task_execution/tests/thread_pool_test.cc similarity index 100% rename from src/ray/core_worker/task_execution/test/thread_pool_test.cc rename to src/ray/core_worker/task_execution/tests/thread_pool_test.cc diff --git a/src/ray/core_worker/task_submission/test/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel similarity index 100% rename from src/ray/core_worker/task_submission/test/BUILD.bazel rename to src/ray/core_worker/task_submission/tests/BUILD.bazel diff --git a/src/ray/core_worker/task_submission/test/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc similarity index 100% rename from src/ray/core_worker/task_submission/test/actor_task_submitter_test.cc rename to src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc diff --git a/src/ray/core_worker/task_submission/test/dependency_resolver_test.cc b/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc similarity index 100% rename from src/ray/core_worker/task_submission/test/dependency_resolver_test.cc rename to src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc diff --git a/src/ray/core_worker/task_submission/test/direct_actor_transport_test.cc b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc similarity index 100% rename from src/ray/core_worker/task_submission/test/direct_actor_transport_test.cc rename to src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc diff --git a/src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc similarity index 100% rename from src/ray/core_worker/task_submission/test/normal_task_submitter_test.cc rename to src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc diff --git a/src/ray/core_worker/task_submission/test/out_of_order_actor_submit_queue_test.cc b/src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc similarity index 100% rename from src/ray/core_worker/task_submission/test/out_of_order_actor_submit_queue_test.cc rename to src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc diff --git a/src/ray/core_worker/test/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel similarity index 100% rename from src/ray/core_worker/test/BUILD.bazel rename to src/ray/core_worker/tests/BUILD.bazel diff --git a/src/ray/core_worker/test/actor_creator_test.cc b/src/ray/core_worker/tests/actor_creator_test.cc similarity index 100% rename from src/ray/core_worker/test/actor_creator_test.cc rename to src/ray/core_worker/tests/actor_creator_test.cc diff --git a/src/ray/core_worker/test/actor_manager_test.cc b/src/ray/core_worker/tests/actor_manager_test.cc similarity index 100% rename from src/ray/core_worker/test/actor_manager_test.cc rename to src/ray/core_worker/tests/actor_manager_test.cc diff --git a/src/ray/core_worker/test/core_worker_resubmit_queue_test.cc b/src/ray/core_worker/tests/core_worker_resubmit_queue_test.cc similarity index 100% rename from src/ray/core_worker/test/core_worker_resubmit_queue_test.cc rename to src/ray/core_worker/tests/core_worker_resubmit_queue_test.cc diff --git a/src/ray/core_worker/test/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc similarity index 100% rename from src/ray/core_worker/test/core_worker_test.cc rename to src/ray/core_worker/tests/core_worker_test.cc diff --git a/src/ray/core_worker/test/generator_waiter_test.cc b/src/ray/core_worker/tests/generator_waiter_test.cc similarity index 100% rename from src/ray/core_worker/test/generator_waiter_test.cc rename to src/ray/core_worker/tests/generator_waiter_test.cc diff --git a/src/ray/core_worker/test/lease_policy_test.cc b/src/ray/core_worker/tests/lease_policy_test.cc similarity index 100% rename from src/ray/core_worker/test/lease_policy_test.cc rename to src/ray/core_worker/tests/lease_policy_test.cc diff --git a/src/ray/core_worker/test/memory_store_test.cc b/src/ray/core_worker/tests/memory_store_test.cc similarity index 100% rename from src/ray/core_worker/test/memory_store_test.cc rename to src/ray/core_worker/tests/memory_store_test.cc diff --git a/src/ray/core_worker/test/mutable_object_provider_test.cc b/src/ray/core_worker/tests/mutable_object_provider_test.cc similarity index 100% rename from src/ray/core_worker/test/mutable_object_provider_test.cc rename to src/ray/core_worker/tests/mutable_object_provider_test.cc diff --git a/src/ray/core_worker/test/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc similarity index 100% rename from src/ray/core_worker/test/object_recovery_manager_test.cc rename to src/ray/core_worker/tests/object_recovery_manager_test.cc diff --git a/src/ray/core_worker/test/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc similarity index 100% rename from src/ray/core_worker/test/reference_count_test.cc rename to src/ray/core_worker/tests/reference_count_test.cc diff --git a/src/ray/core_worker/test/task_event_buffer_export_event_test.cc b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc similarity index 100% rename from src/ray/core_worker/test/task_event_buffer_export_event_test.cc rename to src/ray/core_worker/tests/task_event_buffer_export_event_test.cc diff --git a/src/ray/core_worker/test/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc similarity index 100% rename from src/ray/core_worker/test/task_event_buffer_test.cc rename to src/ray/core_worker/tests/task_event_buffer_test.cc diff --git a/src/ray/core_worker/test/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc similarity index 100% rename from src/ray/core_worker/test/task_manager_test.cc rename to src/ray/core_worker/tests/task_manager_test.cc diff --git a/src/ray/gcs/gcs_client/test/BUILD.bazel b/src/ray/gcs/gcs_client/tests/BUILD.bazel similarity index 91% rename from src/ray/gcs/gcs_client/test/BUILD.bazel rename to src/ray/gcs/gcs_client/tests/BUILD.bazel index 842853c628cf..cc428b88a513 100644 --- a/src/ray/gcs/gcs_client/test/BUILD.bazel +++ b/src/ray/gcs/gcs_client/tests/BUILD.bazel @@ -9,7 +9,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -33,7 +33,7 @@ ray_cc_test( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -60,7 +60,7 @@ ray_cc_test( deps = [ "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", "@com_google_googletest//:gtest_main", ], @@ -86,7 +86,7 @@ ray_cc_test( deps = [ "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/gcs_client/test/accessor_test.cc b/src/ray/gcs/gcs_client/tests/accessor_test.cc similarity index 100% rename from src/ray/gcs/gcs_client/test/accessor_test.cc rename to src/ray/gcs/gcs_client/tests/accessor_test.cc diff --git a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc rename to src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc index fd828cb27aa4..409d16bbadaf 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc @@ -25,7 +25,7 @@ #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/gcs_client/test/gcs_client_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/test/gcs_client_test.cc rename to src/ray/gcs/gcs_client/tests/gcs_client_test.cc index 0739777b954f..6df7b90bd2ab 100644 --- a/src/ray/gcs/gcs_client/test/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc @@ -24,7 +24,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/test/global_state_accessor_test.cc rename to src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc index c5d186e41ec7..f761cb5c90b9 100644 --- a/src/ray/gcs/gcs_client/test/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/gcs_server/test/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel similarity index 88% rename from src/ray/gcs/gcs_server/test/BUILD.bazel rename to src/ray/gcs/gcs_server/tests/BUILD.bazel index aa110ed7ae24..b0af67f3acd5 100644 --- a/src/ray/gcs/gcs_server/test/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -21,7 +21,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -47,7 +47,7 @@ ray_cc_test( ], deps = [ "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -69,7 +69,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -114,7 +114,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -130,7 +130,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -146,7 +146,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -165,7 +165,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -184,7 +184,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -201,7 +201,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -234,7 +234,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -250,7 +250,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:process", "@com_google_googletest//:gtest_main", ], @@ -284,8 +284,8 @@ ray_cc_test( deps = [ ":gcs_table_storage_test_lib", "//src/ray/gcs/gcs_server:gcs_table_storage", - "//src/ray/gcs/store_client/test:store_client_test_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/store_client/tests:store_client_test_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -299,8 +299,8 @@ ray_cc_test( ":gcs_table_storage_test_lib", "//src/ray/common:test_util", "//src/ray/gcs/gcs_server:gcs_table_storage", - "//src/ray/gcs/store_client/test:store_client_test_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/store_client/tests:store_client_test_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -316,7 +316,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -331,7 +331,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -347,7 +347,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -364,7 +364,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -381,7 +381,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -398,7 +398,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc rename to src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index e5942c4da032..d3940e6c5021 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -23,8 +23,8 @@ // clang-format off #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/test/export_api/gcs_job_manager_export_event_test.cc rename to src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index ffcbeb7d3676..049a6df3a4e3 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -20,9 +20,9 @@ // clang-format off #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc rename to src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc index 137a1e271c62..52da5b41a4b9 100644 --- a/src/ray/gcs/gcs_server/test/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc @@ -20,8 +20,8 @@ #include #include -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index ba3e54770746..303085699800 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -21,8 +21,8 @@ // clang-format off #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc similarity index 100% rename from src/ray/gcs/gcs_server/test/gcs_actor_scheduler_mock_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc diff --git a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 128d5df7124b..b11e3f8ed624 100644 --- a/src/ray/gcs/gcs_server/test/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -23,8 +23,8 @@ // clang-format off #include "ray/common/asio/asio_util.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "mock/ray/pubsub/publisher.h" // clang-format on diff --git a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index a706feba521b..2b95dae2729c 100644 --- a/src/ray/gcs/gcs_server/test/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -24,8 +24,8 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_function_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc similarity index 100% rename from src/ray/gcs/gcs_server/test/gcs_function_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc diff --git a/src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc similarity index 100% rename from src/ray/gcs/gcs_server/test/gcs_health_check_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc diff --git a/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index eab0a5333a08..f21a5f4a926c 100644 --- a/src/ray/gcs/gcs_server/test/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -19,9 +19,9 @@ // clang-format off #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_kv_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc similarity index 100% rename from src/ray/gcs/gcs_server/test/gcs_kv_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc diff --git a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc index 69bb1aee77d3..ced40b4863e1 100644 --- a/src/ray/gcs/gcs_server/test/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc @@ -18,8 +18,8 @@ // clang-format off #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "mock/ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_mock_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc index c02924582618..643d4f454112 100644 --- a/src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc @@ -25,7 +25,7 @@ #include "mock/ray/gcs/gcs_server/gcs_resource_manager.h" #include "mock/ray/gcs/store_client/store_client.h" #include "ray/util/counter_map.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" // clang-format on using namespace ::testing; // NOLINT diff --git a/src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc index 660c2c320363..853684b7fd85 100644 --- a/src/ray/gcs/gcs_server/test/gcs_placement_group_mgr_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc @@ -21,8 +21,8 @@ // clang-format off #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/util/counter_map.h" #include "mock/ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc index 0e1d30a5a357..26d1a9ea6226 100644 --- a/src/ray/gcs/gcs_server/test/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc @@ -21,8 +21,8 @@ // clang-format off #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/util/counter_map.h" #include "mock/ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/test/gcs_resource_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_resource_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc index 23591b264573..8a417a77363f 100644 --- a/src/ray/gcs/gcs_server/test/gcs_resource_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc index 7929c693f933..81798c28be7d 100644 --- a/src/ray/gcs/gcs_server/test/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc @@ -20,7 +20,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/test/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h similarity index 100% rename from src/ray/gcs/gcs_server/test/gcs_server_test_util.h rename to src/ray/gcs/gcs_server/tests/gcs_server_test_util.h diff --git a/src/ray/gcs/gcs_server/test/gcs_table_storage_test_base.h b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_table_storage_test_base.h rename to src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h index 5252b6a99eec..8e628085e38f 100644 --- a/src/ray/gcs/gcs_server/test/gcs_table_storage_test_base.h +++ b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h @@ -21,7 +21,7 @@ #include "ray/common/id.h" #include "ray/common/test_util.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/test/gcs_task_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_task_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc index 8349ea04eb22..efb4c30b9a49 100644 --- a/src/ray/gcs/gcs_server/test/gcs_task_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc @@ -27,7 +27,7 @@ #include "ray/common/id.h" #include "ray/common/status.h" #include "ray/gcs/pb_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/test/gcs_worker_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/test/gcs_worker_manager_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc index 5607919bfb8e..d1e5f47b90a5 100644 --- a/src/ray/gcs/gcs_server/test/gcs_worker_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc @@ -23,8 +23,8 @@ // clang-format off #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/test/gcs_server_test_util.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "mock/ray/pubsub/publisher.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/gcs/gcs_server/test/in_memory_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc similarity index 94% rename from src/ray/gcs/gcs_server/test/in_memory_gcs_table_storage_test.cc rename to src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc index 9142d119b9bb..5bd694e52d7f 100644 --- a/src/ray/gcs/gcs_server/test/in_memory_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc @@ -18,7 +18,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/test/gcs_table_storage_test_base.h" +#include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" #include "ray/gcs/store_client/in_memory_store_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/test/redis_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc similarity index 96% rename from src/ray/gcs/gcs_server/test/redis_gcs_table_storage_test.cc rename to src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc index 568db9638f11..591149ec9ffa 100644 --- a/src/ray/gcs/gcs_server/test/redis_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc @@ -17,7 +17,7 @@ #include "gtest/gtest.h" #include "ray/common/test_util.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/test/gcs_table_storage_test_base.h" +#include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" #include "ray/gcs/store_client/redis_store_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/test/usage_stats_client_test.cc b/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc similarity index 100% rename from src/ray/gcs/gcs_server/test/usage_stats_client_test.cc rename to src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc diff --git a/src/ray/gcs/store_client/test/BUILD.bazel b/src/ray/gcs/store_client/tests/BUILD.bazel similarity index 100% rename from src/ray/gcs/store_client/test/BUILD.bazel rename to src/ray/gcs/store_client/tests/BUILD.bazel diff --git a/src/ray/gcs/store_client/test/in_memory_store_client_test.cc b/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc similarity index 95% rename from src/ray/gcs/store_client/test/in_memory_store_client_test.cc rename to src/ray/gcs/store_client/tests/in_memory_store_client_test.cc index c5f8e81ec284..0fa5a47116f6 100644 --- a/src/ray/gcs/store_client/test/in_memory_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc @@ -16,7 +16,7 @@ #include -#include "ray/gcs/store_client/test/store_client_test_base.h" +#include "ray/gcs/store_client/tests/store_client_test_base.h" namespace ray { diff --git a/src/ray/gcs/store_client/test/observable_store_client_test.cc b/src/ray/gcs/store_client/tests/observable_store_client_test.cc similarity index 95% rename from src/ray/gcs/store_client/test/observable_store_client_test.cc rename to src/ray/gcs/store_client/tests/observable_store_client_test.cc index 17a1f751aeb9..39f084b522af 100644 --- a/src/ray/gcs/store_client/test/observable_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/observable_store_client_test.cc @@ -17,7 +17,7 @@ #include #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/store_client/test/store_client_test_base.h" +#include "ray/gcs/store_client/tests/store_client_test_base.h" namespace ray { diff --git a/src/ray/gcs/store_client/test/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc similarity index 99% rename from src/ray/gcs/store_client/test/redis_store_client_test.cc rename to src/ray/gcs/store_client/tests/redis_store_client_test.cc index b473b3167b91..dcf53b4f6f26 100644 --- a/src/ray/gcs/store_client/test/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -24,7 +24,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/redis_client.h" -#include "ray/gcs/store_client/test/store_client_test_base.h" +#include "ray/gcs/store_client/tests/store_client_test_base.h" #include "ray/util/path_utils.h" using namespace std::chrono_literals; // NOLINT diff --git a/src/ray/gcs/store_client/test/store_client_test_base.h b/src/ray/gcs/store_client/tests/store_client_test_base.h similarity index 100% rename from src/ray/gcs/store_client/test/store_client_test_base.h rename to src/ray/gcs/store_client/tests/store_client_test_base.h diff --git a/src/ray/gcs/test/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel similarity index 100% rename from src/ray/gcs/test/BUILD.bazel rename to src/ray/gcs/tests/BUILD.bazel diff --git a/src/ray/gcs/test/callback_reply_test.cc b/src/ray/gcs/tests/callback_reply_test.cc similarity index 100% rename from src/ray/gcs/test/callback_reply_test.cc rename to src/ray/gcs/tests/callback_reply_test.cc diff --git a/src/ray/gcs/test/gcs_test_util.h b/src/ray/gcs/tests/gcs_test_util.h similarity index 100% rename from src/ray/gcs/test/gcs_test_util.h rename to src/ray/gcs/tests/gcs_test_util.h diff --git a/src/ray/gcs/test/redis_async_context_test.cc b/src/ray/gcs/tests/redis_async_context_test.cc similarity index 100% rename from src/ray/gcs/test/redis_async_context_test.cc rename to src/ray/gcs/tests/redis_async_context_test.cc diff --git a/src/ray/ipc/test/BUILD.bazel b/src/ray/ipc/tests/BUILD.bazel similarity index 100% rename from src/ray/ipc/test/BUILD.bazel rename to src/ray/ipc/tests/BUILD.bazel diff --git a/src/ray/ipc/test/client_connection_test.cc b/src/ray/ipc/tests/client_connection_test.cc similarity index 100% rename from src/ray/ipc/test/client_connection_test.cc rename to src/ray/ipc/tests/client_connection_test.cc diff --git a/src/ray/object_manager/plasma/test/BUILD.bazel b/src/ray/object_manager/plasma/tests/BUILD.bazel similarity index 100% rename from src/ray/object_manager/plasma/test/BUILD.bazel rename to src/ray/object_manager/plasma/tests/BUILD.bazel diff --git a/src/ray/object_manager/plasma/test/eviction_policy_test.cc b/src/ray/object_manager/plasma/tests/eviction_policy_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/eviction_policy_test.cc rename to src/ray/object_manager/plasma/tests/eviction_policy_test.cc diff --git a/src/ray/object_manager/plasma/test/fallback_allocator_test.cc b/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/fallback_allocator_test.cc rename to src/ray/object_manager/plasma/tests/fallback_allocator_test.cc diff --git a/src/ray/object_manager/plasma/test/mutable_object_test.cc b/src/ray/object_manager/plasma/tests/mutable_object_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/mutable_object_test.cc rename to src/ray/object_manager/plasma/tests/mutable_object_test.cc diff --git a/src/ray/object_manager/plasma/test/obj_lifecycle_mgr_test.cc b/src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/obj_lifecycle_mgr_test.cc rename to src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc diff --git a/src/ray/object_manager/plasma/test/object_store_test.cc b/src/ray/object_manager/plasma/tests/object_store_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/object_store_test.cc rename to src/ray/object_manager/plasma/tests/object_store_test.cc diff --git a/src/ray/object_manager/plasma/test/stats_collector_test.cc b/src/ray/object_manager/plasma/tests/stats_collector_test.cc similarity index 100% rename from src/ray/object_manager/plasma/test/stats_collector_test.cc rename to src/ray/object_manager/plasma/tests/stats_collector_test.cc diff --git a/src/ray/object_manager/test/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel similarity index 100% rename from src/ray/object_manager/test/BUILD.bazel rename to src/ray/object_manager/tests/BUILD.bazel diff --git a/src/ray/object_manager/test/create_request_queue_test.cc b/src/ray/object_manager/tests/create_request_queue_test.cc similarity index 100% rename from src/ray/object_manager/test/create_request_queue_test.cc rename to src/ray/object_manager/tests/create_request_queue_test.cc diff --git a/src/ray/object_manager/test/get_request_queue_test.cc b/src/ray/object_manager/tests/get_request_queue_test.cc similarity index 100% rename from src/ray/object_manager/test/get_request_queue_test.cc rename to src/ray/object_manager/tests/get_request_queue_test.cc diff --git a/src/ray/object_manager/test/object_buffer_pool_test.cc b/src/ray/object_manager/tests/object_buffer_pool_test.cc similarity index 100% rename from src/ray/object_manager/test/object_buffer_pool_test.cc rename to src/ray/object_manager/tests/object_buffer_pool_test.cc diff --git a/src/ray/object_manager/test/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc similarity index 100% rename from src/ray/object_manager/test/ownership_object_directory_test.cc rename to src/ray/object_manager/tests/ownership_object_directory_test.cc diff --git a/src/ray/object_manager/test/pull_manager_test.cc b/src/ray/object_manager/tests/pull_manager_test.cc similarity index 100% rename from src/ray/object_manager/test/pull_manager_test.cc rename to src/ray/object_manager/tests/pull_manager_test.cc diff --git a/src/ray/object_manager/test/push_manager_test.cc b/src/ray/object_manager/tests/push_manager_test.cc similarity index 100% rename from src/ray/object_manager/test/push_manager_test.cc rename to src/ray/object_manager/tests/push_manager_test.cc diff --git a/src/ray/object_manager/test/spilled_object_test.cc b/src/ray/object_manager/tests/spilled_object_test.cc similarity index 100% rename from src/ray/object_manager/test/spilled_object_test.cc rename to src/ray/object_manager/tests/spilled_object_test.cc diff --git a/src/ray/pubsub/test/BUILD.bazel b/src/ray/pubsub/tests/BUILD.bazel similarity index 100% rename from src/ray/pubsub/test/BUILD.bazel rename to src/ray/pubsub/tests/BUILD.bazel diff --git a/src/ray/pubsub/test/integration_test.cc b/src/ray/pubsub/tests/integration_test.cc similarity index 100% rename from src/ray/pubsub/test/integration_test.cc rename to src/ray/pubsub/tests/integration_test.cc diff --git a/src/ray/pubsub/test/publisher_test.cc b/src/ray/pubsub/tests/publisher_test.cc similarity index 100% rename from src/ray/pubsub/test/publisher_test.cc rename to src/ray/pubsub/tests/publisher_test.cc diff --git a/src/ray/pubsub/test/subscriber_test.cc b/src/ray/pubsub/tests/subscriber_test.cc similarity index 100% rename from src/ray/pubsub/test/subscriber_test.cc rename to src/ray/pubsub/tests/subscriber_test.cc diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index 8d7c28b6dd77..eef39d32e4e5 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -1,4 +1,4 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( name = "scheduler", @@ -269,110 +269,3 @@ ray_cc_library( "//src/ray/common:task_common", ], ) - -ray_cc_test( - name = "cluster_resource_scheduler_test", - size = "small", - srcs = [ - "cluster_resource_scheduler_test.cc", - ], - tags = ["team:core"], - deps = [ - ":cluster_resource_scheduler", - "//:ray_mock", - "//src/ray/common:ray_config", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "cluster_resource_scheduler_2_test", - size = "small", - srcs = [ - "cluster_resource_scheduler_2_test.cc", - ], - tags = ["team:core"], - deps = [ - ":cluster_resource_scheduler", - ":scheduling_context", - ":scheduling_options", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "local_resource_manager_test", - size = "small", - srcs = [ - "local_resource_manager_test.cc", - ], - tags = ["team:core"], - deps = [ - ":local_resource_manager", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "scheduling_policy_test", - size = "small", - srcs = [ - "policy/scheduling_policy_test.cc", - ], - tags = ["team:core"], - deps = [ - ":composite_scheduling_policy", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "hybrid_scheduling_policy_test", - size = "small", - srcs = [ - "policy/hybrid_scheduling_policy_test.cc", - ], - tags = ["team:core"], - deps = [ - ":composite_scheduling_policy", - ":hybrid_scheduling_policy", - "@com_google_absl//absl/random:mock_distributions", - "@com_google_absl//absl/random:mocking_bit_gen", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "cluster_task_manager_test", - size = "small", - srcs = [ - "cluster_task_manager_test.cc", - ], - tags = ["team:core"], - deps = [ - ":cluster_resource_scheduler", - ":cluster_task_manager", - "//:ray_mock", - "//src/ray/common:id", - "//src/ray/common:task_common", - "//src/ray/common:test_util", - "//src/ray/raylet:local_task_manager", - "//src/ray/raylet/test:util", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "cluster_resource_manager_test", - size = "small", - srcs = [ - "cluster_resource_manager_test.cc", - ], - tags = ["team:core"], - deps = [ - ":cluster_resource_manager", - "@com_google_googletest//:gtest_main", - ], -) diff --git a/src/ray/raylet/scheduling/policy/tests/BUILD.bazel b/src/ray/raylet/scheduling/policy/tests/BUILD.bazel new file mode 100644 index 000000000000..a9ee6d460cd0 --- /dev/null +++ b/src/ray/raylet/scheduling/policy/tests/BUILD.bazel @@ -0,0 +1,30 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "scheduling_policy_test", + size = "small", + srcs = [ + "scheduling_policy_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/raylet/scheduling:composite_scheduling_policy", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "hybrid_scheduling_policy_test", + size = "small", + srcs = [ + "hybrid_scheduling_policy_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/raylet/scheduling:composite_scheduling_policy", + "//src/ray/raylet/scheduling:hybrid_scheduling_policy", + "@com_google_absl//absl/random:mock_distributions", + "@com_google_absl//absl/random:mocking_bit_gen", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/raylet/scheduling/policy/hybrid_scheduling_policy_test.cc b/src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc similarity index 100% rename from src/ray/raylet/scheduling/policy/hybrid_scheduling_policy_test.cc rename to src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc diff --git a/src/ray/raylet/scheduling/policy/scheduling_policy_test.cc b/src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc similarity index 100% rename from src/ray/raylet/scheduling/policy/scheduling_policy_test.cc rename to src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel new file mode 100644 index 000000000000..1e3d0cdae67f --- /dev/null +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -0,0 +1,79 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "cluster_resource_scheduler_test", + size = "small", + srcs = [ + "cluster_resource_scheduler_test.cc", + ], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "cluster_resource_scheduler_2_test", + size = "small", + srcs = [ + "cluster_resource_scheduler_2_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/raylet/scheduling:scheduling_context", + "//src/ray/raylet/scheduling:scheduling_options", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "local_resource_manager_test", + size = "small", + srcs = [ + "local_resource_manager_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/raylet/scheduling:local_resource_manager", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "cluster_task_manager_test", + size = "small", + srcs = [ + "cluster_task_manager_test.cc", + ], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/common:test_util", + "//src/ray/raylet:local_task_manager", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/raylet/tests:util", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "cluster_resource_manager_test", + size = "small", + srcs = [ + "cluster_resource_manager_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/raylet/scheduling:cluster_resource_manager", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/raylet/scheduling/cluster_resource_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc similarity index 100% rename from src/ray/raylet/scheduling/cluster_resource_manager_test.cc rename to src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc diff --git a/src/ray/raylet/scheduling/cluster_resource_scheduler_2_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc similarity index 100% rename from src/ray/raylet/scheduling/cluster_resource_scheduler_2_test.cc rename to src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc diff --git a/src/ray/raylet/scheduling/cluster_resource_scheduler_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc similarity index 100% rename from src/ray/raylet/scheduling/cluster_resource_scheduler_test.cc rename to src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc diff --git a/src/ray/raylet/scheduling/cluster_task_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc similarity index 99% rename from src/ray/raylet/scheduling/cluster_task_manager_test.cc rename to src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc index 88fa3a320dc1..9ce9ccaca635 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc @@ -34,7 +34,7 @@ #include "ray/common/test_util.h" #include "ray/raylet/local_task_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" // clang-format on diff --git a/src/ray/raylet/scheduling/local_resource_manager_test.cc b/src/ray/raylet/scheduling/tests/local_resource_manager_test.cc similarity index 100% rename from src/ray/raylet/scheduling/local_resource_manager_test.cc rename to src/ray/raylet/scheduling/tests/local_resource_manager_test.cc diff --git a/src/ray/raylet/test/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel similarity index 99% rename from src/ray/raylet/test/BUILD.bazel rename to src/ray/raylet/tests/BUILD.bazel index abd8e45e5e4f..71350f2d30ad 100644 --- a/src/ray/raylet/test/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -70,7 +70,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/gcs/test:gcs_test_util_lib", + "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/raylet:placement_group_resource_manager", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/test/dependency_manager_test.cc b/src/ray/raylet/tests/dependency_manager_test.cc similarity index 100% rename from src/ray/raylet/test/dependency_manager_test.cc rename to src/ray/raylet/tests/dependency_manager_test.cc diff --git a/src/ray/raylet/test/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc similarity index 99% rename from src/ray/raylet/test/local_object_manager_test.cc rename to src/ray/raylet/tests/local_object_manager_test.cc index d98fb7dc834d..3688518efa90 100644 --- a/src/ray/raylet/test/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -31,7 +31,7 @@ #include "ray/gcs/gcs_client/accessor.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/pubsub/subscriber.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/grpc_client.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/raylet/test/local_task_manager_test.cc b/src/ray/raylet/tests/local_task_manager_test.cc similarity index 99% rename from src/ray/raylet/test/local_task_manager_test.cc rename to src/ray/raylet/tests/local_task_manager_test.cc index fe505a303340..0c3dcac90442 100644 --- a/src/ray/raylet/test/local_task_manager_test.cc +++ b/src/ray/raylet/tests/local_task_manager_test.cc @@ -32,7 +32,7 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" namespace ray::raylet { diff --git a/src/ray/raylet/test/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc similarity index 99% rename from src/ray/raylet/test/node_manager_test.cc rename to src/ray/raylet/tests/node_manager_test.cc index 3ef9df384f98..55e4d75a1468 100644 --- a/src/ray/raylet/test/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -36,7 +36,7 @@ #include "ray/object_manager/plasma/client.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_task_manager.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" namespace ray::raylet { using ::testing::_; diff --git a/src/ray/raylet/test/placement_group_resource_manager_test.cc b/src/ray/raylet/tests/placement_group_resource_manager_test.cc similarity index 99% rename from src/ray/raylet/test/placement_group_resource_manager_test.cc rename to src/ray/raylet/tests/placement_group_resource_manager_test.cc index 0e1530f74c63..9247c75ffb7c 100644 --- a/src/ray/raylet/test/placement_group_resource_manager_test.cc +++ b/src/ray/raylet/tests/placement_group_resource_manager_test.cc @@ -24,7 +24,7 @@ #include "ray/common/bundle_spec.h" #include "ray/common/id.h" #include "ray/common/scheduling/resource_set.h" -#include "ray/gcs/test/gcs_test_util.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" // clang-format on diff --git a/src/ray/raylet/test/runtime_env_agent_client_test.cc b/src/ray/raylet/tests/runtime_env_agent_client_test.cc similarity index 100% rename from src/ray/raylet/test/runtime_env_agent_client_test.cc rename to src/ray/raylet/tests/runtime_env_agent_client_test.cc diff --git a/src/ray/raylet/test/util.h b/src/ray/raylet/tests/util.h similarity index 100% rename from src/ray/raylet/test/util.h rename to src/ray/raylet/tests/util.h diff --git a/src/ray/raylet/test/wait_manager_test.cc b/src/ray/raylet/tests/wait_manager_test.cc similarity index 100% rename from src/ray/raylet/test/wait_manager_test.cc rename to src/ray/raylet/tests/wait_manager_test.cc diff --git a/src/ray/raylet/test/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc similarity index 99% rename from src/ray/raylet/test/worker_killing_policy_group_by_owner_test.cc rename to src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc index 7328ae41e2ef..965712213786 100644 --- a/src/ray/raylet/test/worker_killing_policy_group_by_owner_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" #include "ray/raylet/worker_killing_policy.h" namespace ray { diff --git a/src/ray/raylet/test/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc similarity index 99% rename from src/ray/raylet/test/worker_killing_policy_retriable_fifo_test.cc rename to src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc index 0c512233fc7b..27d07b7e5417 100644 --- a/src/ray/raylet/test/worker_killing_policy_retriable_fifo_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc @@ -19,7 +19,7 @@ #include "gtest/gtest.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" #include "ray/raylet/worker_killing_policy.h" namespace ray { diff --git a/src/ray/raylet/test/worker_killing_policy_test.cc b/src/ray/raylet/tests/worker_killing_policy_test.cc similarity index 99% rename from src/ray/raylet/test/worker_killing_policy_test.cc rename to src/ray/raylet/tests/worker_killing_policy_test.cc index c9c0ef5ed572..1026b616c09d 100644 --- a/src/ray/raylet/test/worker_killing_policy_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_test.cc @@ -19,7 +19,7 @@ #include "gtest/gtest.h" #include "ray/common/task/task_spec.h" -#include "ray/raylet/test/util.h" +#include "ray/raylet/tests/util.h" namespace ray { diff --git a/src/ray/raylet/test/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc similarity index 100% rename from src/ray/raylet/test/worker_pool_test.cc rename to src/ray/raylet/tests/worker_pool_test.cc diff --git a/src/ray/rpc/node_manager/test/BUILD.bazel b/src/ray/rpc/node_manager/tests/BUILD.bazel similarity index 100% rename from src/ray/rpc/node_manager/test/BUILD.bazel rename to src/ray/rpc/node_manager/tests/BUILD.bazel diff --git a/src/ray/rpc/node_manager/test/raylet_client_pool_test.cc b/src/ray/rpc/node_manager/tests/raylet_client_pool_test.cc similarity index 100% rename from src/ray/rpc/node_manager/test/raylet_client_pool_test.cc rename to src/ray/rpc/node_manager/tests/raylet_client_pool_test.cc diff --git a/src/ray/rpc/test/BUILD.bazel b/src/ray/rpc/tests/BUILD.bazel similarity index 100% rename from src/ray/rpc/test/BUILD.bazel rename to src/ray/rpc/tests/BUILD.bazel diff --git a/src/ray/rpc/test/core_worker_client_pool_test.cc b/src/ray/rpc/tests/core_worker_client_pool_test.cc similarity index 100% rename from src/ray/rpc/test/core_worker_client_pool_test.cc rename to src/ray/rpc/tests/core_worker_client_pool_test.cc diff --git a/src/ray/rpc/test/grpc_bench/BUILD.bazel b/src/ray/rpc/tests/grpc_bench/BUILD.bazel similarity index 100% rename from src/ray/rpc/test/grpc_bench/BUILD.bazel rename to src/ray/rpc/tests/grpc_bench/BUILD.bazel diff --git a/src/ray/rpc/test/grpc_bench/Dockerfile b/src/ray/rpc/tests/grpc_bench/Dockerfile similarity index 100% rename from src/ray/rpc/test/grpc_bench/Dockerfile rename to src/ray/rpc/tests/grpc_bench/Dockerfile diff --git a/src/ray/rpc/test/grpc_bench/README b/src/ray/rpc/tests/grpc_bench/README similarity index 100% rename from src/ray/rpc/test/grpc_bench/README rename to src/ray/rpc/tests/grpc_bench/README diff --git a/src/ray/rpc/test/grpc_bench/grpc_bench.cc b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc similarity index 100% rename from src/ray/rpc/test/grpc_bench/grpc_bench.cc rename to src/ray/rpc/tests/grpc_bench/grpc_bench.cc diff --git a/src/ray/rpc/test/grpc_bench/helloworld.proto b/src/ray/rpc/tests/grpc_bench/helloworld.proto similarity index 100% rename from src/ray/rpc/test/grpc_bench/helloworld.proto rename to src/ray/rpc/tests/grpc_bench/helloworld.proto diff --git a/src/ray/rpc/test/grpc_server_client_test.cc b/src/ray/rpc/tests/grpc_server_client_test.cc similarity index 100% rename from src/ray/rpc/test/grpc_server_client_test.cc rename to src/ray/rpc/tests/grpc_server_client_test.cc diff --git a/src/ray/rpc/test/rpc_chaos_test.cc b/src/ray/rpc/tests/rpc_chaos_test.cc similarity index 100% rename from src/ray/rpc/test/rpc_chaos_test.cc rename to src/ray/rpc/tests/rpc_chaos_test.cc diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 4a088305a22b..05496b27ae4f 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -1,4 +1,4 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( name = "stats_metric", @@ -55,34 +55,3 @@ ray_cc_library( "@com_github_grpc_grpc//:grpc_opencensus_plugin", ], ) - -ray_cc_test( - name = "stats_test", - size = "small", - srcs = ["stats_test.cc"], - tags = [ - "no_tsan", - "stats", - "team:core", - ], - deps = [ - ":stats_lib", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "metric_exporter_grpc_test", - size = "small", - srcs = [ - "metric_exporter_grpc_test.cc", - ], - tags = [ - "stats", - "team:core", - ], - deps = [ - ":stats_lib", - "@com_google_googletest//:gtest_main", - ], -) diff --git a/src/ray/stats/tests/BUILD.bazel b/src/ray/stats/tests/BUILD.bazel index 90bfa18328a8..ac78d6de4d00 100644 --- a/src/ray/stats/tests/BUILD.bazel +++ b/src/ray/stats/tests/BUILD.bazel @@ -13,3 +13,34 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "stats_test", + size = "small", + srcs = ["stats_test.cc"], + tags = [ + "no_tsan", + "stats", + "team:core", + ], + deps = [ + "//src/ray/stats:stats_lib", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "metric_exporter_grpc_test", + size = "small", + srcs = [ + "metric_exporter_grpc_test.cc", + ], + tags = [ + "stats", + "team:core", + ], + deps = [ + "//src/ray/stats:stats_lib", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/stats/metric_exporter_grpc_test.cc b/src/ray/stats/tests/metric_exporter_grpc_test.cc similarity index 100% rename from src/ray/stats/metric_exporter_grpc_test.cc rename to src/ray/stats/tests/metric_exporter_grpc_test.cc diff --git a/src/ray/stats/stats_test.cc b/src/ray/stats/tests/stats_test.cc similarity index 100% rename from src/ray/stats/stats_test.cc rename to src/ray/stats/tests/stats_test.cc diff --git a/src/ray/util/internal/tests/BUILD.bazel b/src/ray/util/internal/tests/BUILD.bazel index bff2005719a1..59c88140efc6 100644 --- a/src/ray/util/internal/tests/BUILD.bazel +++ b/src/ray/util/internal/tests/BUILD.bazel @@ -12,7 +12,7 @@ ray_cc_test( "no_tsan", ], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util", "//src/ray/util/internal:stream_redirection_handle", "@com_google_googletest//:gtest_main", diff --git a/src/ray/util/internal/tests/stream_redirection_handle_test.cc b/src/ray/util/internal/tests/stream_redirection_handle_test.cc index a4ac9e87aed4..fd963af8d1c1 100644 --- a/src/ray/util/internal/tests/stream_redirection_handle_test.cc +++ b/src/ray/util/internal/tests/stream_redirection_handle_test.cc @@ -22,7 +22,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/util.h" diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index 443b97190955..f9d38609354c 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -254,7 +254,7 @@ ray_cc_test( srcs = ["pipe_logger_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util", "//src/ray/util:pipe_logger", "//src/ray/util:scoped_env_setter", @@ -276,7 +276,7 @@ ray_cc_test( "no_tsan", ], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util", "//src/ray/util:stream_redirection", "@com_google_googletest//:gtest_main", @@ -312,7 +312,7 @@ ray_cc_test( srcs = ["spdlog_newliner_sink_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util:filesystem", "//src/ray/util:spdlog_fd_sink", "//src/ray/util:spdlog_newliner_sink", @@ -349,7 +349,7 @@ ray_cc_test( srcs = ["process_cleanup_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util", "//src/ray/util:filesystem", "//src/ray/util:process_cleaner", @@ -363,7 +363,7 @@ ray_cc_test( srcs = ["scoped_dup2_wrapper_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/common/test:testing", + "//src/ray/common/tests:testing", "//src/ray/util:compat", "//src/ray/util:filesystem", "//src/ray/util:scoped_dup2_wrapper", diff --git a/src/ray/util/tests/pipe_logger_test.cc b/src/ray/util/tests/pipe_logger_test.cc index afcf07a1433b..d6749e6ee545 100644 --- a/src/ray/util/tests/pipe_logger_test.cc +++ b/src/ray/util/tests/pipe_logger_test.cc @@ -23,7 +23,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/scoped_env_setter.h" #include "ray/util/temporary_directory.h" diff --git a/src/ray/util/tests/process_cleanup_test.cc b/src/ray/util/tests/process_cleanup_test.cc index a34ddc49cf75..6e9f07652f20 100644 --- a/src/ray/util/tests/process_cleanup_test.cc +++ b/src/ray/util/tests/process_cleanup_test.cc @@ -23,7 +23,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/process_cleaner.h" #include "ray/util/util.h" diff --git a/src/ray/util/tests/scoped_dup2_wrapper_test.cc b/src/ray/util/tests/scoped_dup2_wrapper_test.cc index 822635850558..7db58f66e217 100644 --- a/src/ray/util/tests/scoped_dup2_wrapper_test.cc +++ b/src/ray/util/tests/scoped_dup2_wrapper_test.cc @@ -21,7 +21,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/compat.h" #include "ray/util/filesystem.h" #include "ray/util/temporary_directory.h" diff --git a/src/ray/util/tests/spdlog_newliner_sink_test.cc b/src/ray/util/tests/spdlog_newliner_sink_test.cc index c5439e2b4bb4..84ed7438b21a 100644 --- a/src/ray/util/tests/spdlog_newliner_sink_test.cc +++ b/src/ray/util/tests/spdlog_newliner_sink_test.cc @@ -21,7 +21,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/compat.h" #include "ray/util/filesystem.h" #include "ray/util/spdlog_fd_sink.h" diff --git a/src/ray/util/tests/stream_redirection_exit_test.cc b/src/ray/util/tests/stream_redirection_exit_test.cc index cd1ef17b2462..1644f06462aa 100644 --- a/src/ray/util/tests/stream_redirection_exit_test.cc +++ b/src/ray/util/tests/stream_redirection_exit_test.cc @@ -21,7 +21,7 @@ #include #include -#include "ray/common/test/testing.h" +#include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/stream_redirection.h" #include "ray/util/util.h" From aa23cbc28e2b8b56503216d959216bec4b604379 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Fri, 15 Aug 2025 15:16:27 -0700 Subject: [PATCH 0727/1566] [Serve.llm] Support multi-node data parallel with set_dp_master_info() (#55653) Signed-off-by: Rui Qiao Signed-off-by: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Co-authored-by: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../data_parallel/dp_rank_assigner.py | 12 +++++++++ .../deployments/data_parallel/dp_server.py | 25 ++++++++++++++++++- .../serve/deployments/llm/vllm/vllm_models.py | 20 ++++++++++++++- 3 files changed, 55 insertions(+), 2 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py index b9b23065609e..f48496796e4d 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py @@ -16,6 +16,9 @@ def __init__(self, dp_size: int): self.dp_size = dp_size self.lock = asyncio.Lock() self.next_rank = 0 + self.dp_address = None + self.dp_rpc_port = None + self.master_info_event = asyncio.Event() async def register(self, replica_ctx: "serve.context.ReplicaContext"): async with self.lock: @@ -28,3 +31,12 @@ async def register(self, replica_ctx: "serve.context.ReplicaContext"): rank = self.next_rank self.next_rank += 1 return rank + + async def set_dp_master_info(self, dp_address: str, dp_rpc_port: int): + self.dp_address = dp_address + self.dp_rpc_port = dp_rpc_port + self.master_info_event.set() + + async def get_dp_master_info(self): + await self.master_info_event.wait() + return self.dp_address, self.dp_rpc_port diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index 200a54c2dfad..fc396847363a 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -1,7 +1,9 @@ import logging +import time from typing import Optional from ray import serve +from ray.experimental.collective.util import get_address_and_port from ray.llm._internal.serve.configs.constants import DEFAULT_MAX_ONGOING_REQUESTS from ray.llm._internal.serve.configs.server_models import LLMConfig from ray.llm._internal.serve.deployments.data_parallel.dp_rank_assigner import ( @@ -29,10 +31,31 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand replica_ctx = serve.get_replica_context() self.dp_rank = await self.dp_rank_assigner.register.remote(replica_ctx) - logger.info(f"DP rank: {self.dp_rank}") + logger.info(f"DP rank {self.dp_rank} has registered") + + if self.dp_rank == 0: + self.dp_address, self.dp_rpc_port = get_address_and_port() + await self.dp_rank_assigner.set_dp_master_info.remote( + self.dp_address, self.dp_rpc_port + ) + logger.info( + f"DP rank {self.dp_rank} has set DP master info: {self.dp_address}, {self.dp_rpc_port}" + ) + else: + timestamp = time.time() + ( + self.dp_address, + self.dp_rpc_port, + ) = await self.dp_rank_assigner.get_dp_master_info.remote() + logger.info( + f"DP rank {self.dp_rank} got DP master info: {self.dp_address}, {self.dp_rpc_port}, " + f"after waiting for {time.time() - timestamp:.3f} seconds" + ) # override the engine_kwargs to assign the DP rank. llm_config.engine_kwargs["data_parallel_rank"] = self.dp_rank + llm_config.engine_kwargs["data_parallel_address"] = self.dp_address + llm_config.engine_kwargs["data_parallel_rpc_port"] = self.dp_rpc_port await super().__init__(llm_config) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 12b7635243ad..4ca753eb9b12 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -6,6 +6,7 @@ from vllm.engine.arg_utils import AsyncEngineArgs from vllm.entrypoints.openai.cli_args import FrontendArgs +import ray from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.common.utils.cloud_utils import CloudMirrorConfig from ray.llm._internal.common.utils.import_utils import try_import @@ -194,12 +195,20 @@ def placement_strategy(self) -> str: @property def placement_bundles(self) -> List[Dict[str, float]]: + dp_rank = self.engine_kwargs.get("data_parallel_rank", None) + if self.resources_per_bundle: bundle = self.resources_per_bundle else: bundle = {"GPU": 1} if self.accelerator_type: bundle[self.ray_accelerator_type()] = 0.001 + if dp_rank is not None: + # For data parallel, we put the placement group on the same node + # as the driver. This is needed to pass ray_utils._verify_bundles() + # validation in vLLM. + node_ip = ray.util.get_node_ip_address() + bundle["node:" + node_ip] = 0.001 bundles = [bundle for _ in range(self.num_devices)] return bundles @@ -238,6 +247,7 @@ def get_or_create_pg(self) -> PlacementGroup: If we are already in a placement group, return the existing placement group. Else, create a new placement group based on the scaling config. """ + dp_rank = self.engine_kwargs.get("data_parallel_rank", None) pg = get_current_placement_group() if pg: logger.debug( @@ -245,6 +255,10 @@ def get_or_create_pg(self) -> PlacementGroup: pg.id, placement_group_table(pg), ) + if dp_rank is not None: + raise NotImplementedError( + "Data parallel is not supported with VLLMEngine already in a placement group" + ) else: if not ALLOW_NEW_PLACEMENT_GROUPS_IN_DEPLOYMENT: raise RuntimeError( @@ -252,8 +266,12 @@ def get_or_create_pg(self) -> PlacementGroup: "Change RAYLLM_ALLOW_NEW_PLACEMENT_GROUPS_IN_DEPLOYMENT " "if this is not intended." ) + name = "" if dp_rank is None else f"dp_{dp_rank}" + pg = placement_group( - self.placement_bundles, strategy=self.placement_strategy + bundles=self.placement_bundles, + strategy=self.placement_strategy, + name=name, ) logger.info(f"Using new placement group {pg}. {placement_group_table(pg)}") From 98102f41adbfd636d2c5b4cc1eeabb002f010bf5 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Fri, 15 Aug 2025 16:51:13 -0700 Subject: [PATCH 0728/1566] [Data] Decouple actor and node autoscaling (#55673) ## Why are these changes needed? Actor pool autoscaling and node autoscaling are currently tied together in a single `Autoscaler` base class, even though they work mostly independently. This coupling makes testing harder (you have to mock unused dependencies), complicates the interface, and forces you to touch unrelated code when extending one type of autoscaling. This PR splits `Autoscaler` into `ActorAutoscaler` and `ClusterAutoscaler` to simplify testing, reduce complexity, and make future extensions easier. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../_internal/actor_autoscaler/__init__.py | 30 ++++ .../autoscaling_actor_pool.py | 0 .../actor_autoscaler/base_actor_autoscaler.py | 31 ++++ .../default_actor_autoscaler.py} | 157 ++++++------------ .../_internal/cluster_autoscaler/__init__.py | 19 +++ .../base_cluster_autoscaler.py} | 6 +- .../default_cluster_autoscaler.py | 107 ++++++++++++ .../execution/autoscaler/__init__.py | 33 ---- .../_internal/execution/autoscaler/util.py | 48 ------ .../execution/interfaces/physical_operator.py | 2 +- .../operators/actor_pool_map_operator.py | 8 +- .../_internal/execution/streaming_executor.py | 20 ++- .../tests/test_actor_pool_map_operator.py | 4 +- python/ray/data/tests/test_autoscaler.py | 13 +- .../test_executor_resource_management.py | 4 +- python/ray/data/tests/test_operators.py | 4 +- 16 files changed, 274 insertions(+), 212 deletions(-) create mode 100644 python/ray/data/_internal/actor_autoscaler/__init__.py rename python/ray/data/_internal/{execution/autoscaler => actor_autoscaler}/autoscaling_actor_pool.py (100%) create mode 100644 python/ray/data/_internal/actor_autoscaler/base_actor_autoscaler.py rename python/ray/data/_internal/{execution/autoscaler/default_autoscaler.py => actor_autoscaler/default_actor_autoscaler.py} (59%) create mode 100644 python/ray/data/_internal/cluster_autoscaler/__init__.py rename python/ray/data/_internal/{execution/autoscaler/autoscaler.py => cluster_autoscaler/base_cluster_autoscaler.py} (88%) create mode 100644 python/ray/data/_internal/cluster_autoscaler/default_cluster_autoscaler.py delete mode 100644 python/ray/data/_internal/execution/autoscaler/__init__.py delete mode 100644 python/ray/data/_internal/execution/autoscaler/util.py diff --git a/python/ray/data/_internal/actor_autoscaler/__init__.py b/python/ray/data/_internal/actor_autoscaler/__init__.py new file mode 100644 index 000000000000..6d29cbc9e78c --- /dev/null +++ b/python/ray/data/_internal/actor_autoscaler/__init__.py @@ -0,0 +1,30 @@ +from typing import TYPE_CHECKING + +from .autoscaling_actor_pool import ActorPoolScalingRequest, AutoscalingActorPool +from .base_actor_autoscaler import ActorAutoscaler +from .default_actor_autoscaler import DefaultActorAutoscaler + +if TYPE_CHECKING: + from ray.data._internal.execution.resource_manager import ResourceManager + from ray.data._internal.execution.streaming_executor_state import Topology + from ray.data.context import AutoscalingConfig + + +def create_actor_autoscaler( + topology: "Topology", + resource_manager: "ResourceManager", + config: "AutoscalingConfig", +) -> ActorAutoscaler: + return DefaultActorAutoscaler( + topology, + resource_manager, + config=config, + ) + + +__all__ = [ + "ActorAutoscaler", + "ActorPoolScalingRequest", + "AutoscalingActorPool", + "create_actor_autoscaler", +] diff --git a/python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py b/python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py similarity index 100% rename from python/ray/data/_internal/execution/autoscaler/autoscaling_actor_pool.py rename to python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py diff --git a/python/ray/data/_internal/actor_autoscaler/base_actor_autoscaler.py b/python/ray/data/_internal/actor_autoscaler/base_actor_autoscaler.py new file mode 100644 index 000000000000..aebdb89bb431 --- /dev/null +++ b/python/ray/data/_internal/actor_autoscaler/base_actor_autoscaler.py @@ -0,0 +1,31 @@ +from abc import ABC, abstractmethod +from typing import TYPE_CHECKING + +from ray.util.annotations import DeveloperAPI + +if TYPE_CHECKING: + from ray.data._internal.execution.resource_manager import ResourceManager + from ray.data._internal.execution.streaming_executor_state import Topology + + +@DeveloperAPI +class ActorAutoscaler(ABC): + """Abstract interface for Ray Data actor autoscaler.""" + + def __init__( + self, + topology: "Topology", + resource_manager: "ResourceManager", + ): + self._topology = topology + self._resource_manager = resource_manager + + @abstractmethod + def try_trigger_scaling(self): + """Try trigger autoscaling. + + This method will be called each time when StreamingExecutor makes + a scheduling decision. A subclass should override this method to + handle the autoscaling of `AutoscalingActorPool`s. + """ + ... diff --git a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py b/python/ray/data/_internal/actor_autoscaler/default_actor_autoscaler.py similarity index 59% rename from python/ray/data/_internal/execution/autoscaler/default_autoscaler.py rename to python/ray/data/_internal/actor_autoscaler/default_actor_autoscaler.py index 86ba8ec5e771..50cc1662fcdb 100644 --- a/python/ray/data/_internal/execution/autoscaler/default_autoscaler.py +++ b/python/ray/data/_internal/actor_autoscaler/default_actor_autoscaler.py @@ -1,15 +1,9 @@ import logging import math -import time -from typing import TYPE_CHECKING, Dict +from typing import TYPE_CHECKING, Optional -import ray -from .autoscaler import Autoscaler from .autoscaling_actor_pool import ActorPoolScalingRequest, AutoscalingActorPool -from .util import get_max_scale_up -from ray.data._internal.execution.autoscaling_requester import ( - get_or_create_autoscaling_requester_actor, -) +from .base_actor_autoscaler import ActorAutoscaler from ray.data._internal.execution.interfaces.execution_options import ExecutionResources from ray.data.context import WARN_PREFIX, AutoscalingConfig @@ -18,24 +12,18 @@ from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.execution.streaming_executor_state import OpState, Topology - logger = logging.getLogger(__name__) -class DefaultAutoscaler(Autoscaler): - - # Min number of seconds between two autoscaling requests. - MIN_GAP_BETWEEN_AUTOSCALING_REQUESTS = 20 - +class DefaultActorAutoscaler(ActorAutoscaler): def __init__( self, topology: "Topology", resource_manager: "ResourceManager", *, - execution_id: str, config: AutoscalingConfig, ): - super().__init__(topology, resource_manager, execution_id) + super().__init__(topology, resource_manager) self._actor_pool_scaling_up_threshold = ( config.actor_pool_util_upscaling_threshold @@ -46,12 +34,14 @@ def __init__( self._validate_autoscaling_config() - # Last time when a request was sent to Ray's autoscaler. - self._last_request_time = 0 - def try_trigger_scaling(self): - self._try_scale_up_cluster() - self._try_scale_up_or_down_actor_pool() + for op, state in self._topology.items(): + actor_pools = op.get_autoscaling_actor_pools() + for actor_pool in actor_pools: + # Trigger auto-scaling + actor_pool.scale( + self._derive_target_scaling_config(actor_pool, op, state) + ) def _derive_target_scaling_config( self, @@ -99,7 +89,7 @@ def _derive_target_scaling_config( reason="operator exceeding resource quota" ) budget = self._resource_manager.get_budget(op) - if get_max_scale_up(actor_pool, budget) == 0: + if _get_max_scale_up(actor_pool, budget) == 0: return ActorPoolScalingRequest.no_op(reason="exceeded resource limits") return ActorPoolScalingRequest.upscale( @@ -129,86 +119,6 @@ def _derive_target_scaling_config( ) ) - def _try_scale_up_or_down_actor_pool(self): - for op, state in self._topology.items(): - actor_pools = op.get_autoscaling_actor_pools() - for actor_pool in actor_pools: - # Trigger auto-scaling - actor_pool.scale( - self._derive_target_scaling_config(actor_pool, op, state) - ) - - def _try_scale_up_cluster(self): - """Try to scale up the cluster to accomodate the provided in-progress workload. - - This makes a resource request to Ray's autoscaler consisting of the current, - aggregate usage of all operators in the DAG + the incremental usage of all - operators that are ready for dispatch (i.e. that have inputs queued). If the - autoscaler were to grant this resource request, it would allow us to dispatch - one task for every ready operator. - - Note that this resource request does not take the global resource limits or the - liveness policy into account; it only tries to make the existing resource usage - + one more task per ready operator feasible in the cluster. - """ - # Limit the frequency of autoscaling requests. - now = time.time() - if now - self._last_request_time < self.MIN_GAP_BETWEEN_AUTOSCALING_REQUESTS: - return - - # Scale up the cluster, if no ops are allowed to run, but there are still data - # in the input queues. - no_runnable_op = all( - not op_state._scheduling_status.runnable - for _, op_state in self._topology.items() - ) - any_has_input = any( - op_state._pending_dispatch_input_bundles_count() > 0 - for _, op_state in self._topology.items() - ) - if not (no_runnable_op and any_has_input): - return - - self._last_request_time = now - - # Get resource usage for all ops + additional resources needed to launch one - # more task for each ready op. - resource_request = [] - - def to_bundle(resource: ExecutionResources) -> Dict: - req = {} - if resource.cpu: - req["CPU"] = math.ceil(resource.cpu) - if resource.gpu: - req["GPU"] = math.ceil(resource.gpu) - return req - - for op, state in self._topology.items(): - per_task_resource = op.incremental_resource_usage() - task_bundle = to_bundle(per_task_resource) - resource_request.extend([task_bundle] * op.num_active_tasks()) - # Only include incremental resource usage for ops that are ready for - # dispatch. - if state._pending_dispatch_input_bundles_count() > 0: - # TODO(Clark): Scale up more aggressively by adding incremental resource - # usage for more than one bundle in the queue for this op? - resource_request.append(task_bundle) - - self._send_resource_request(resource_request) - - def _send_resource_request(self, resource_request): - # Make autoscaler resource request. - actor = get_or_create_autoscaling_requester_actor() - actor.request_resources.remote(resource_request, self._execution_id) - - def on_executor_shutdown(self): - # Make request for zero resources to autoscaler for this execution. - actor = get_or_create_autoscaling_requester_actor() - actor.request_resources.remote({}, self._execution_id) - - def get_total_resources(self) -> ExecutionResources: - return ExecutionResources.from_resource_dict(ray.cluster_resources()) - def _validate_autoscaling_config(self): for op, state in self._topology.items(): for actor_pool in op.get_autoscaling_actor_pools(): @@ -229,3 +139,46 @@ def _validate_actor_pool_autoscaling_config( f"actor pool is configured to avoid buffering (its " f"`max_tasks_in_flight_per_actor` == `max_concurrency`)" ) + + +def _get_max_scale_up( + actor_pool: AutoscalingActorPool, + budget: Optional[ExecutionResources], +) -> Optional[int]: + """Get the maximum number of actors that can be scaled up. + + Args: + actor_pool: The actor pool to scale up. + budget: The budget to scale up. + + Returns: + The maximum number of actors that can be scaled up, or `None` if you can + scale up infinitely. + """ + if budget is None: + return None + + assert budget.cpu >= 0 and budget.gpu >= 0 + + num_cpus_per_actor = actor_pool.per_actor_resource_usage().cpu + num_gpus_per_actor = actor_pool.per_actor_resource_usage().gpu + assert num_cpus_per_actor >= 0 and num_gpus_per_actor >= 0 + + max_cpu_scale_up: float = float("inf") + if num_cpus_per_actor > 0 and not math.isinf(budget.cpu): + max_cpu_scale_up = budget.cpu // num_cpus_per_actor + + max_gpu_scale_up: float = float("inf") + if num_gpus_per_actor > 0 and not math.isinf(budget.gpu): + max_gpu_scale_up = budget.gpu // num_gpus_per_actor + + max_scale_up = min(max_cpu_scale_up, max_gpu_scale_up) + if math.isinf(max_scale_up): + return None + else: + assert not math.isnan(max_scale_up), ( + budget, + num_cpus_per_actor, + num_gpus_per_actor, + ) + return int(max_scale_up) diff --git a/python/ray/data/_internal/cluster_autoscaler/__init__.py b/python/ray/data/_internal/cluster_autoscaler/__init__.py new file mode 100644 index 000000000000..01e15270a0c4 --- /dev/null +++ b/python/ray/data/_internal/cluster_autoscaler/__init__.py @@ -0,0 +1,19 @@ +from typing import TYPE_CHECKING + +from .base_cluster_autoscaler import ClusterAutoscaler +from .default_cluster_autoscaler import DefaultClusterAutoscaler + +if TYPE_CHECKING: + from ray.data._internal.execution.resource_manager import ResourceManager + from ray.data._internal.execution.streaming_executor_state import Topology + + +def create_cluster_autoscaler( + topology: "Topology", resource_manager: "ResourceManager", *, execution_id: str +) -> ClusterAutoscaler: + return DefaultClusterAutoscaler( + topology, resource_manager, execution_id=execution_id + ) + + +__all__ = ["ClusterAutoscaler"] diff --git a/python/ray/data/_internal/execution/autoscaler/autoscaler.py b/python/ray/data/_internal/cluster_autoscaler/base_cluster_autoscaler.py similarity index 88% rename from python/ray/data/_internal/execution/autoscaler/autoscaler.py rename to python/ray/data/_internal/cluster_autoscaler/base_cluster_autoscaler.py index ea49631472c7..cdca9187a70f 100644 --- a/python/ray/data/_internal/execution/autoscaler/autoscaler.py +++ b/python/ray/data/_internal/cluster_autoscaler/base_cluster_autoscaler.py @@ -12,8 +12,8 @@ @DeveloperAPI -class Autoscaler(ABC): - """Abstract interface for Ray Data autoscaler.""" +class ClusterAutoscaler(ABC): + """Abstract interface for Ray Data cluster autoscaler.""" def __init__( self, @@ -31,7 +31,7 @@ def try_trigger_scaling(self): This method will be called each time when StreamingExecutor makes a scheduling decision. A subclass should override this method to - handle the autoscaling of both the cluster and `AutoscalingActorPool`s. + handle the autoscaling of the cluster. """ ... diff --git a/python/ray/data/_internal/cluster_autoscaler/default_cluster_autoscaler.py b/python/ray/data/_internal/cluster_autoscaler/default_cluster_autoscaler.py new file mode 100644 index 000000000000..0ab1d3ea56ce --- /dev/null +++ b/python/ray/data/_internal/cluster_autoscaler/default_cluster_autoscaler.py @@ -0,0 +1,107 @@ +import logging +import math +import time +from typing import TYPE_CHECKING, Dict + +import ray +from .base_cluster_autoscaler import ClusterAutoscaler +from ray.data._internal.execution.autoscaling_requester import ( + get_or_create_autoscaling_requester_actor, +) +from ray.data._internal.execution.interfaces import ExecutionResources + +if TYPE_CHECKING: + from ray.data._internal.execution.resource_manager import ResourceManager + from ray.data._internal.execution.streaming_executor_state import Topology + + +logger = logging.getLogger(__name__) + + +class DefaultClusterAutoscaler(ClusterAutoscaler): + + # Min number of seconds between two autoscaling requests. + MIN_GAP_BETWEEN_AUTOSCALING_REQUESTS = 20 + + def __init__( + self, + topology: "Topology", + resource_manager: "ResourceManager", + *, + execution_id: str, + ): + super().__init__(topology, resource_manager, execution_id) + + # Last time when a request was sent to Ray's autoscaler. + self._last_request_time = 0 + + def try_trigger_scaling(self): + """Try to scale up the cluster to accomodate the provided in-progress workload. + + This makes a resource request to Ray's autoscaler consisting of the current, + aggregate usage of all operators in the DAG + the incremental usage of all + operators that are ready for dispatch (i.e. that have inputs queued). If the + autoscaler were to grant this resource request, it would allow us to dispatch + one task for every ready operator. + + Note that this resource request does not take the global resource limits or the + liveness policy into account; it only tries to make the existing resource usage + + one more task per ready operator feasible in the cluster. + """ + # Limit the frequency of autoscaling requests. + now = time.time() + if now - self._last_request_time < self.MIN_GAP_BETWEEN_AUTOSCALING_REQUESTS: + return + + # Scale up the cluster, if no ops are allowed to run, but there are still data + # in the input queues. + no_runnable_op = all( + not op_state._scheduling_status.runnable + for _, op_state in self._topology.items() + ) + any_has_input = any( + op_state._pending_dispatch_input_bundles_count() > 0 + for _, op_state in self._topology.items() + ) + if not (no_runnable_op and any_has_input): + return + + self._last_request_time = now + + # Get resource usage for all ops + additional resources needed to launch one + # more task for each ready op. + resource_request = [] + + def to_bundle(resource: ExecutionResources) -> Dict: + req = {} + if resource.cpu: + req["CPU"] = math.ceil(resource.cpu) + if resource.gpu: + req["GPU"] = math.ceil(resource.gpu) + return req + + for op, state in self._topology.items(): + per_task_resource = op.incremental_resource_usage() + task_bundle = to_bundle(per_task_resource) + resource_request.extend([task_bundle] * op.num_active_tasks()) + # Only include incremental resource usage for ops that are ready for + # dispatch. + if state._pending_dispatch_input_bundles_count() > 0: + # TODO(Clark): Scale up more aggressively by adding incremental resource + # usage for more than one bundle in the queue for this op? + resource_request.append(task_bundle) + + self._send_resource_request(resource_request) + + def _send_resource_request(self, resource_request): + # Make autoscaler resource request. + actor = get_or_create_autoscaling_requester_actor() + actor.request_resources.remote(resource_request, self._execution_id) + + def on_executor_shutdown(self): + # Make request for zero resources to autoscaler for this execution. + actor = get_or_create_autoscaling_requester_actor() + actor.request_resources.remote({}, self._execution_id) + + def get_total_resources(self) -> ExecutionResources: + return ExecutionResources.from_resource_dict(ray.cluster_resources()) diff --git a/python/ray/data/_internal/execution/autoscaler/__init__.py b/python/ray/data/_internal/execution/autoscaler/__init__.py deleted file mode 100644 index 5a566026d591..000000000000 --- a/python/ray/data/_internal/execution/autoscaler/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import TYPE_CHECKING - -from .autoscaler import Autoscaler -from .autoscaling_actor_pool import AutoscalingActorPool -from .default_autoscaler import DefaultAutoscaler - -if TYPE_CHECKING: - from ..resource_manager import ResourceManager - from ..streaming_executor_state import Topology - from ray.data.context import AutoscalingConfig - - -def create_autoscaler( - topology: "Topology", - resource_manager: "ResourceManager", - config: "AutoscalingConfig", - *, - execution_id: str -) -> Autoscaler: - return DefaultAutoscaler( - topology, - resource_manager, - config=config, - execution_id=execution_id, - ) - - -__all__ = [ - "Autoscaler", - "DefaultAutoscaler", - "create_autoscaler", - "AutoscalingActorPool", -] diff --git a/python/ray/data/_internal/execution/autoscaler/util.py b/python/ray/data/_internal/execution/autoscaler/util.py deleted file mode 100644 index 550e2a0066e5..000000000000 --- a/python/ray/data/_internal/execution/autoscaler/util.py +++ /dev/null @@ -1,48 +0,0 @@ -import math -from typing import Optional - -from .autoscaling_actor_pool import AutoscalingActorPool -from ray.data._internal.execution.interfaces import ExecutionResources - - -def get_max_scale_up( - actor_pool: AutoscalingActorPool, - budget: Optional[ExecutionResources], -) -> Optional[int]: - """Get the maximum number of actors that can be scaled up. - - Args: - actor_pool: The actor pool to scale up. - budget: The budget to scale up. - - Returns: - The maximum number of actors that can be scaled up, or `None` if you can - scale up infinitely. - """ - if budget is None: - return None - - assert budget.cpu >= 0 and budget.gpu >= 0 - - num_cpus_per_actor = actor_pool.per_actor_resource_usage().cpu - num_gpus_per_actor = actor_pool.per_actor_resource_usage().gpu - assert num_cpus_per_actor >= 0 and num_gpus_per_actor >= 0 - - max_cpu_scale_up: float = float("inf") - if num_cpus_per_actor > 0 and not math.isinf(budget.cpu): - max_cpu_scale_up = budget.cpu // num_cpus_per_actor - - max_gpu_scale_up: float = float("inf") - if num_gpus_per_actor > 0 and not math.isinf(budget.gpu): - max_gpu_scale_up = budget.gpu // num_gpus_per_actor - - max_scale_up = min(max_cpu_scale_up, max_gpu_scale_up) - if math.isinf(max_scale_up): - return None - else: - assert not math.isnan(max_scale_up), ( - budget, - num_cpus_per_actor, - num_gpus_per_actor, - ) - return int(max_scale_up) diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index 7de458c239b1..12f7242aa3c8 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -18,7 +18,7 @@ import ray from .ref_bundle import RefBundle from ray._raylet import ObjectRefGenerator -from ray.data._internal.execution.autoscaler.autoscaling_actor_pool import ( +from ray.data._internal.actor_autoscaler.autoscaling_actor_pool import ( AutoscalingActorPool, ) from ray.data._internal.execution.interfaces.execution_options import ( diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 9cc21cfb512c..c79350dcedfe 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -10,11 +10,13 @@ import ray from ray.actor import ActorHandle from ray.core.generated import gcs_pb2 -from ray.data._internal.compute import ActorPoolStrategy -from ray.data._internal.execution.autoscaler import AutoscalingActorPool -from ray.data._internal.execution.autoscaler.default_autoscaler import ( +from ray.data._internal.actor_autoscaler import ( + AutoscalingActorPool, +) +from ray.data._internal.actor_autoscaler.autoscaling_actor_pool import ( ActorPoolScalingRequest, ) +from ray.data._internal.compute import ActorPoolStrategy from ray.data._internal.execution.bundle_queue import create_bundle_queue from ray.data._internal.execution.bundle_queue.bundle_queue import BundleQueue from ray.data._internal.execution.interfaces import ( diff --git a/python/ray/data/_internal/execution/streaming_executor.py b/python/ray/data/_internal/execution/streaming_executor.py index 4e2dfdd9aa6a..7d95c7e4fc72 100644 --- a/python/ray/data/_internal/execution/streaming_executor.py +++ b/python/ray/data/_internal/execution/streaming_executor.py @@ -4,7 +4,10 @@ import time from typing import Dict, List, Optional, Tuple -from ray.data._internal.execution.autoscaler import create_autoscaler +from ray.data._internal.actor_autoscaler import ( + create_actor_autoscaler, +) +from ray.data._internal.cluster_autoscaler import create_cluster_autoscaler from ray.data._internal.execution.backpressure_policy import ( BackpressurePolicy, get_backpressure_policies, @@ -175,18 +178,22 @@ def execute( self._resource_manager = ResourceManager( self._topology, self._options, - lambda: self._autoscaler.get_total_resources(), + lambda: self._cluster_autoscaler.get_total_resources(), self._data_context, ) self._backpressure_policies = get_backpressure_policies( self._data_context, self._topology, self._resource_manager ) - self._autoscaler = create_autoscaler( + self._cluster_autoscaler = create_cluster_autoscaler( self._topology, self._resource_manager, - config=self._data_context.autoscaling_config, execution_id=self._dataset_id, ) + self._actor_autoscaler = create_actor_autoscaler( + self._topology, + self._resource_manager, + config=self._data_context.autoscaling_config, + ) self._has_op_completed = dict.fromkeys(self._topology, False) @@ -294,7 +301,7 @@ def shutdown(self, force: bool, exception: Optional[Exception] = None): for callback in get_execution_callbacks(self._data_context): callback.after_execution_fails(self, exception) - self._autoscaler.on_executor_shutdown() + self._cluster_autoscaler.on_executor_shutdown() dur = time.perf_counter() - start @@ -462,7 +469,8 @@ def _scheduling_loop_step(self, topology: Topology) -> bool: self._refresh_progress_bars(topology) # Trigger autoscaling - self._autoscaler.try_trigger_scaling() + self._cluster_autoscaler.try_trigger_scaling() + self._actor_autoscaler.try_trigger_scaling() update_operator_states(topology) self._refresh_progress_bars(topology) diff --git a/python/ray/data/tests/test_actor_pool_map_operator.py b/python/ray/data/tests/test_actor_pool_map_operator.py index e2627c29a187..f12f8da8df40 100644 --- a/python/ray/data/tests/test_actor_pool_map_operator.py +++ b/python/ray/data/tests/test_actor_pool_map_operator.py @@ -14,9 +14,7 @@ import ray from ray._common.test_utils import wait_for_condition from ray.actor import ActorHandle -from ray.data._internal.execution.autoscaler.default_autoscaler import ( - ActorPoolScalingRequest, -) +from ray.data._internal.actor_autoscaler import ActorPoolScalingRequest from ray.data._internal.execution.bundle_queue import FIFOBundleQueue from ray.data._internal.execution.interfaces import ExecutionResources from ray.data._internal.execution.interfaces.physical_operator import _ActorPoolInfo diff --git a/python/ray/data/tests/test_autoscaler.py b/python/ray/data/tests/test_autoscaler.py index f2d0d2369ead..a41c7d3bebff 100644 --- a/python/ray/data/tests/test_autoscaler.py +++ b/python/ray/data/tests/test_autoscaler.py @@ -8,10 +8,11 @@ import ray from ray.data import ExecutionResources -from ray.data._internal.execution.autoscaler.default_autoscaler import ( +from ray.data._internal.actor_autoscaler import ( ActorPoolScalingRequest, - DefaultAutoscaler, + DefaultActorAutoscaler, ) +from ray.data._internal.cluster_autoscaler import DefaultClusterAutoscaler from ray.data._internal.execution.operators.actor_pool_map_operator import _ActorPool from ray.data._internal.execution.operators.base_physical_operator import ( InternalQueueOperatorMixin, @@ -30,10 +31,9 @@ def test_actor_pool_scaling(): resource_manager = MagicMock( spec=ResourceManager, get_budget=MagicMock(return_value=None) ) - autoscaler = DefaultAutoscaler( + autoscaler = DefaultActorAutoscaler( topology=MagicMock(), resource_manager=resource_manager, - execution_id="execution_id", config=AutoscalingConfig( actor_pool_util_upscaling_threshold=1.0, actor_pool_util_downscaling_threshold=0.5, @@ -240,15 +240,14 @@ def test_cluster_scaling(): op2: op_state2, } - autoscaler = DefaultAutoscaler( + autoscaler = DefaultClusterAutoscaler( topology=topology, resource_manager=MagicMock(), execution_id="execution_id", - config=AutoscalingConfig(), ) autoscaler._send_resource_request = MagicMock() - autoscaler._try_scale_up_cluster() + autoscaler.try_trigger_scaling() autoscaler._send_resource_request.assert_called_once_with( [{"CPU": 1}, {"CPU": 2}, {"CPU": 2}] diff --git a/python/ray/data/tests/test_executor_resource_management.py b/python/ray/data/tests/test_executor_resource_management.py index d863842ec412..73e5a23326fb 100644 --- a/python/ray/data/tests/test_executor_resource_management.py +++ b/python/ray/data/tests/test_executor_resource_management.py @@ -1,10 +1,8 @@ import pytest import ray +from ray.data._internal.actor_autoscaler import ActorPoolScalingRequest from ray.data._internal.compute import ActorPoolStrategy, TaskPoolStrategy -from ray.data._internal.execution.autoscaler.default_autoscaler import ( - ActorPoolScalingRequest, -) from ray.data._internal.execution.interfaces import ExecutionOptions, ExecutionResources from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer from ray.data._internal.execution.operators.limit_operator import LimitOperator diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index e361b237fc37..7f46d75d6dc8 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -11,10 +11,8 @@ import ray from ray._common.test_utils import wait_for_condition +from ray.data._internal.actor_autoscaler import ActorPoolScalingRequest from ray.data._internal.compute import ActorPoolStrategy, TaskPoolStrategy -from ray.data._internal.execution.autoscaler.default_autoscaler import ( - ActorPoolScalingRequest, -) from ray.data._internal.execution.interfaces import ( ExecutionOptions, PhysicalOperator, From 8f95228e4da7d1ad07a22b0da530df4ae6fb6b34 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Fri, 15 Aug 2025 17:12:20 -0700 Subject: [PATCH 0729/1566] [serve.llm] Handle push telemetry race conditions (#55558) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../deployments/data_parallel/dp_server.py | 6 ---- .../serve/deployments/llm/llm_server.py | 4 +-- .../observability/usage_telemetry/usage.py | 34 ++++++++++++++++++- .../usage_telemetry/test_usage.py | 30 ++++++++++++++++ 4 files changed, 64 insertions(+), 10 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index fc396847363a..c59d2761ed84 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -59,12 +59,6 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand await super().__init__(llm_config) - def _push_telemetry_report(self): - # Only push telemetry report for the first DP replica. - if self.dp_rank == 0: - # TODO(rui): refine the telemetry report for DP deployment. - super()._push_telemetry_report() - @classmethod def as_deployment(cls, deployment_options: dict) -> serve.Deployment: return serve.deployment(cls).options(**deployment_options) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index da20c9b805a8..551329753526 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -204,7 +204,6 @@ async def start(self): if self._engine_cls is not None: self.engine = self._engine_cls(self._llm_config) await asyncio.wait_for(self._start_engine(), timeout=ENGINE_START_TIMEOUT_S) - self._push_telemetry_report() def _init_multiplex_loader( self, model_downloader_cls: Optional[Type[LoraModelLoader]] = None @@ -252,8 +251,7 @@ async def _start_engine(self): await self.engine.start() - def _push_telemetry_report(self): - """Push telemetry reports for the model in the current deployment.""" + # Push telemetry reports for the model in the current deployment. push_telemetry_report_for_all_models(all_models=[self._llm_config]) def _get_batch_interval_ms(self, stream: bool = True) -> int: diff --git a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py index 061e34460d66..b011db4810cd 100644 --- a/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py +++ b/python/ray/llm/_internal/serve/observability/usage_telemetry/usage.py @@ -1,3 +1,5 @@ +import random +import time from enum import Enum from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Sequence @@ -203,9 +205,39 @@ def _get_or_create_telemetry_agent() -> TelemetryAgent: return telemetry_agent +def _retry_get_telemetry_agent( + max_retries: int = 5, base_delay: float = 0.1 +) -> TelemetryAgent: + max_retries = 5 + base_delay = 0.1 + + telemetry_agent = None + for attempt in range(max_retries): + try: + telemetry_agent = _get_or_create_telemetry_agent() + return telemetry_agent + except ValueError as e: + # Due to race conditions among multiple replicas, we may get: + # ValueError: Actor with name 'llm_serve_telemetry' already + # exists in the namespace llm_serve_telemetry + logger.info( + "Attempt %s/%s to get telemetry agent failed", attempt + 1, max_retries + ) + if attempt == max_retries - 1: + raise e + + # Exponential backoff with jitter + exponential_delay = base_delay * (2**attempt) + jitter = random.uniform(0, 0.5) + delay = exponential_delay + jitter + # Max total wait time is ~3.5 seconds for 5 attempts. + time.sleep(delay) + + def _push_telemetry_report(model: Optional[TelemetryModel] = None) -> None: """Push telemetry report for a model.""" - telemetry_agent = _get_or_create_telemetry_agent() + telemetry_agent = _retry_get_telemetry_agent() + assert telemetry_agent is not None ray.get(telemetry_agent.record.remote(model)) diff --git a/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py b/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py index 3b561d8c8312..022314082619 100644 --- a/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py +++ b/python/ray/llm/tests/serve/cpu/observability/usage_telemetry/test_usage.py @@ -13,6 +13,7 @@ from ray.llm._internal.serve.observability.usage_telemetry.usage import ( HardwareUsage, _get_or_create_telemetry_agent, + _retry_get_telemetry_agent, push_telemetry_report_for_all_models, ) @@ -136,6 +137,35 @@ def fake_get_gpu_type(*args, **kwargs): } +@ray.remote(num_cpus=0) +class Replica: + def wait_for_init(self): + """ + When this method returns, the actor initialization is guaranteed + to be complete. + + This is used for synchronization between multiple replicas, + increasing the chance for get_telemetry_agent() to be called + at the same time. + """ + pass + + def get_telemetry_agent(self): + return _retry_get_telemetry_agent() + + +def test_telemetry_race_condition(): + replicas = [Replica.remote() for _ in range(30)] + init_refs = [replica.wait_for_init.remote() for replica in replicas] + ray.get(init_refs) + + get_refs = [replica.get_telemetry_agent.remote() for replica in replicas] + telemetry_agents = ray.get(get_refs) + for telemetry_agent in telemetry_agents: + assert telemetry_agent is not None + assert len(set(telemetry_agents)) == 1 + + def test_infer_gpu_from_hardware(): # Test with a valid GPU type def fake_get_gpu_type(*args, **kwargs): From 8fe22e46281570cf8f179a2ab43a3f891e043f32 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Sat, 16 Aug 2025 03:19:20 +0200 Subject: [PATCH 0730/1566] [serve.llm] Add reset_prefix_cache remote method to llm server (#55658) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_engine.py | 4 ++++ .../serve/deployments/llm/llm_server.py | 17 ++++++++++++++ .../serve/deployments/llm/vllm/vllm_engine.py | 4 ++++ .../cpu/deployments/llm/test_llm_server.py | 23 +++++++++++++++++++ .../llm/tests/serve/mocks/mock_vllm_engine.py | 5 ++++ 5 files changed, 53 insertions(+) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py index ea20ab3d18d3..89bf1a2f5cc9 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_engine.py @@ -36,6 +36,10 @@ async def resolve_lora(self, lora_model: DiskMultiplexConfig): """Mounts the LoRA model on the engine, given the local disk path.""" pass + @abc.abstractmethod + async def reset_prefix_cache(self) -> None: + """Reset the prefix cache of the underlying engine""" + @abc.abstractmethod async def chat( self, request: "ChatCompletionRequest" diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 551329753526..f7f4d274e611 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -104,6 +104,10 @@ async def check_health(self) -> None: """ ... + @abstractmethod + async def reset_prefix_cache(self) -> None: + """Reset the prefix cache of the underlying engine""" + # TODO (Kourosh): This does not belong here. async def llm_config(self) -> Optional[LLMConfig]: return None @@ -393,6 +397,19 @@ async def check_health(self) -> None: logger.error("Engine health check failed in LLMServer.check_health: %s", e) raise e + async def reset_prefix_cache(self) -> None: + """Reset the prefix cache of the underlying engine""" + if self.engine is None: + return + try: + await self.engine.reset_prefix_cache() + except Exception as e: + logger.error( + "Engine reset prefix cache failed in LLMServer.reset_prefix_cache: %s", + e, + ) + raise e + async def llm_config(self) -> Optional[LLMConfig]: return self._llm_config diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index a6654ca89c4e..28ad58b09bb5 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -450,3 +450,7 @@ async def check_health(self) -> None: except BaseException as e: logger.error("Healthcheck failed. The replica will be restarted") raise e from None + + async def reset_prefix_cache(self) -> None: + assert self._engine_client is not None, "engine_client is not initialized" + await self._engine_client.reset_prefix_cache() diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index 65dcd74cf38e..6b7627980490 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -175,6 +175,29 @@ async def check_health(self): # Check that the health check method was called assert server.engine.check_health_called + @pytest.mark.asyncio + async def test_reset_prefix_cache(self, mock_llm_config): + """Test reset prefix cache functionality.""" + + # Mock the engine's reset_prefix_cache method + class LocalMockEngine(MockVLLMEngine): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.reset_prefix_cache_called = False + + async def reset_prefix_cache(self): + self.reset_prefix_cache_called = True + + # Create a server with a mocked engine + server = LLMServer.sync_init(mock_llm_config, engine_cls=LocalMockEngine) + await server.start() + + # Perform the health check, no exceptions should be raised + await server.reset_prefix_cache() + + # Check that the reset prefix cache method was called + assert server.engine.reset_prefix_cache_called + @pytest.mark.asyncio async def test_llm_config_property(self, mock_llm_config): """Test the llm_config property.""" diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 5db89b1f3c0c..5fd900d1c6fb 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -51,6 +51,11 @@ async def check_health(self) -> None: if not self.started: raise RuntimeError("Engine not started") + async def reset_prefix_cache(self) -> None: + """Reset the prefix cache of the mock engine.""" + if not self.started: + raise RuntimeError("Engine not started") + async def chat( self, request: ChatCompletionRequest ) -> AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None]: From 42161067e45280b4877608cd592d3ef255a18b85 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 15 Aug 2025 23:38:03 -0700 Subject: [PATCH 0731/1566] [ci] release test: fix to use small for test init (#55677) otherwise the permission is incorrect Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/test.rayci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/release/test.rayci.yml b/.buildkite/release/test.rayci.yml index 3bd5b4aff514..4faa7cf05fca 100644 --- a/.buildkite/release/test.rayci.yml +++ b/.buildkite/release/test.rayci.yml @@ -4,7 +4,7 @@ tags: steps: - label: "test init" key: test-init - instance_type: release-medium + instance_type: release commands: - /bin/bash .buildkite/release/test-init.sh mount_buildkite_agent: true From d3b1d995e749395be366702ec093445011b7ce5f Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sat, 16 Aug 2025 11:16:44 -0700 Subject: [PATCH 0732/1566] [core] Update base exception group tests (#55684) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_exceptiongroup.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/tests/test_exceptiongroup.py b/python/ray/tests/test_exceptiongroup.py index 88012d507355..26a4d33cbf8b 100644 --- a/python/ray/tests/test_exceptiongroup.py +++ b/python/ray/tests/test_exceptiongroup.py @@ -21,7 +21,7 @@ def test_baseexceptiongroup_task(ray_start_regular): def task(): raise baseexceptiongroup - with pytest.raises(ray.exceptions.WorkerCrashedError): + with pytest.raises(ray.exceptions.RayTaskError): # noqa: F821 ray.get(task.remote()) @@ -35,7 +35,7 @@ class Actor: def f(self): raise baseexceptiongroup - with pytest.raises(ray.exceptions.ActorDiedError): + with pytest.raises(ray.exceptions.RayTaskError): # noqa: F821 a = Actor.remote() ray.get(a.f.remote()) From 4073e46d65fbe232f0fa09ff16d05cb71ba4cc4d Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sat, 16 Aug 2025 19:41:24 -0700 Subject: [PATCH 0733/1566] [core] Fix test_failure on windows (#55687) ## Why are these changes needed? Mixing ray_start_regular and ray_start_regular_shared in the same file can lead to unexpected behavior where cluster state can unexpectedly carry over into setup for another test. Here on windows *test_put_error1, test_put_error2,* and *test_version_mismatch are* skipped so *test_export_large_objects* runs directly after *test_baseexception_actor_creation* causing issues during its setup. In a follow up will just create another test file for all basexception related tests so they can use a shared cluster. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_failure.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index ef551d68ea8d..06de8f5dd70b 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -380,7 +380,7 @@ def foo(): assert isinstance(ex, RayTaskError) -def test_baseexception_task(ray_start_regular_shared): +def test_baseexception_task(ray_start_regular): class MyBaseException(BaseException): pass @@ -392,7 +392,7 @@ def task(): ray.get(task.remote()) -def test_baseexception_actor_task(ray_start_regular_shared): +def test_baseexception_actor_task(ray_start_regular): class MyBaseException(BaseException): pass @@ -413,7 +413,7 @@ async def async_f(self): ray.get(a.async_f.remote()) -def test_baseexception_actor_creation(ray_start_regular_shared): +def test_baseexception_actor_creation(ray_start_regular): class MyBaseException(BaseException): pass From 698fb9744f33daca381925135c69a4ea677325b7 Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Sun, 17 Aug 2025 11:56:41 -0700 Subject: [PATCH 0734/1566] Fixing Circular Import in ray.train.v2.lightning.lightning_utils (#55668) Importing `RayTrainReportCallback` from `ray.train.lightning._lightning_utils` in `ray.train.v2.lightning.lightning_utils` causes a circular import in the case that `ray.train.v2.lightning.lightning_utils` is loaded before `ray.train.lightning`. This PR removes the `ray.train.v2.lightning` module and migrates the changes upstream to the original `RayTrainReportCallback` class. --------- Signed-off-by: JasonLi1909 Signed-off-by: Douglas Strodtman --- python/ray/train/lightning/__init__.py | 6 -- .../ray/train/lightning/_lightning_utils.py | 23 +++++--- python/ray/train/v2/lightning/__init__.py | 0 .../ray/train/v2/lightning/lightning_utils.py | 58 ------------------- 4 files changed, 14 insertions(+), 73 deletions(-) delete mode 100644 python/ray/train/v2/lightning/__init__.py delete mode 100644 python/ray/train/v2/lightning/lightning_utils.py diff --git a/python/ray/train/lightning/__init__.py b/python/ray/train/lightning/__init__.py index c8e413a10308..8be5886a805c 100644 --- a/python/ray/train/lightning/__init__.py +++ b/python/ray/train/lightning/__init__.py @@ -19,12 +19,6 @@ RayTrainReportCallback, prepare_trainer, ) -from ray.train.v2._internal.constants import is_v2_enabled - -if is_v2_enabled(): - from ray.train.v2.lightning.lightning_utils import ( # noqa: F811 - RayTrainReportCallback, - ) __all__ = [ "prepare_trainer", diff --git a/python/ray/train/lightning/_lightning_utils.py b/python/ray/train/lightning/_lightning_utils.py index 2157287af516..2da924a3357c 100644 --- a/python/ray/train/lightning/_lightning_utils.py +++ b/python/ray/train/lightning/_lightning_utils.py @@ -9,7 +9,7 @@ from packaging.version import Version import ray -from ray import train +import ray.train from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.train import Checkpoint from ray.util import PublicAPI @@ -182,16 +182,16 @@ def __init__(self, *args, **kwargs): record_extra_usage_tag(TagKey.TRAIN_LIGHTNING_RAYLIGHTNINGENVIRONMENT, "1") def world_size(self) -> int: - return train.get_context().get_world_size() + return ray.train.get_context().get_world_size() def global_rank(self) -> int: - return train.get_context().get_world_rank() + return ray.train.get_context().get_world_rank() def local_rank(self) -> int: - return train.get_context().get_local_rank() + return ray.train.get_context().get_local_rank() def node_rank(self) -> int: - return train.get_context().get_node_rank() + return ray.train.get_context().get_node_rank() def set_world_size(self, size: int) -> None: # Disable it since `world_size()` directly returns data from Train context. @@ -259,9 +259,14 @@ class RayTrainReportCallback(pl.callbacks.Callback): def __init__(self) -> None: super().__init__() - self.trial_name = train.get_context().get_trial_name() - self.local_rank = train.get_context().get_local_rank() - self.tmpdir_prefix = Path(tempfile.gettempdir(), self.trial_name).as_posix() + job_id = ray.get_runtime_context().get_job_id() + experiment_name = ray.train.get_context().get_experiment_name() + self.local_rank = ray.train.get_context().get_local_rank() + + self.tmpdir_prefix = Path( + tempfile.gettempdir(), + f"lightning_checkpoints-job_id={job_id}-name={experiment_name}", + ).as_posix() if os.path.isdir(self.tmpdir_prefix) and self.local_rank == 0: shutil.rmtree(self.tmpdir_prefix) @@ -286,7 +291,7 @@ def on_train_epoch_end(self, trainer, pl_module) -> None: # Report to train session checkpoint = Checkpoint.from_directory(tmpdir) - train.report(metrics=metrics, checkpoint=checkpoint) + ray.train.report(metrics=metrics, checkpoint=checkpoint) # Add a barrier to ensure all workers finished reporting here trainer.strategy.barrier() diff --git a/python/ray/train/v2/lightning/__init__.py b/python/ray/train/v2/lightning/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/python/ray/train/v2/lightning/lightning_utils.py b/python/ray/train/v2/lightning/lightning_utils.py deleted file mode 100644 index 4d417248c73d..000000000000 --- a/python/ray/train/v2/lightning/lightning_utils.py +++ /dev/null @@ -1,58 +0,0 @@ -import os -import shutil -import tempfile -from pathlib import Path - -import ray.train -from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag -from ray.train.lightning._lightning_utils import ( - RayTrainReportCallback as RayTrainReportCallbackV1, - import_lightning, -) -from ray.util import PublicAPI - -pl = import_lightning() - - -@PublicAPI(stability="beta") -class RayTrainReportCallback(RayTrainReportCallbackV1): - """A simple callback that reports checkpoints to Ray on train epoch end. - - This callback is a subclass of `lightning.pytorch.callbacks.Callback - `_. - - It fetches the latest `trainer.callback_metrics` and reports together with - the checkpoint on each training epoch end. - - Checkpoints will be saved in the following structure: - - checkpoint_{timestamp}/ Ray Train's checkpoint folder - └─ checkpoint.ckpt Lightning's checkpoint format - - For customized reporting and checkpointing logic, implement your own - `lightning.pytorch.callbacks.Callback` following this user - guide: :ref:`Saving and Loading Checkpoints `. - """ - - def __init__(self) -> None: - # TODO: Upstream this change into ray.train.lightning. - # The difference in this version is removing the trial directory usage. - job_id = ray.get_runtime_context().get_job_id() - experiment_name = ray.train.get_context().get_experiment_name() - self.local_rank = ray.train.get_context().get_local_rank() - - # Create a root temporary directory for storing local checkpoints - # before persisting to storage. - # Lightning's checkpointing implementation requires that this directory - # is a common path across all workers. - # Construct the path prefix with the job id and experiment name, - # which are shared across workers for a Ray Train run. - # This path should not be shared across different Ray Train runs. - self.tmpdir_prefix = Path( - tempfile.gettempdir(), - f"lightning_checkpoints-job_id={job_id}-name={experiment_name}", - ).as_posix() - if os.path.isdir(self.tmpdir_prefix) and self.local_rank == 0: - shutil.rmtree(self.tmpdir_prefix) - - record_extra_usage_tag(TagKey.TRAIN_LIGHTNING_RAYTRAINREPORTCALLBACK, "1") From 722456dd28526f76998cab1b949cdcb2493bbf74 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Sun, 17 Aug 2025 18:34:27 -0500 Subject: [PATCH 0735/1566] [core] Remove unnecessary publisher dependency from raylet (#55678) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/BUILD.bazel | 1 - 1 file changed, 1 deletion(-) diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index c06b8e9f3a4e..dba01e0a56da 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -230,7 +230,6 @@ ray_cc_library( "//src/ray/object_manager", "//src/ray/object_manager:ownership_object_directory", "//src/ray/object_manager/plasma:plasma_client", - "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", "//src/ray/raylet/scheduling:scheduler", "//src/ray/rpc:core_worker_client", From 9fe3f477a6b6e2874ea5e59850acea0068eb1eeb Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Sun, 17 Aug 2025 21:33:48 -0700 Subject: [PATCH 0736/1566] [Serve.llm] Fix DPServer allocation to CPU node (#55688) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../serve/builders/application_builders.py | 2 +- .../_internal/serve/configs/server_models.py | 54 ++++++++++++++++--- .../deployments/data_parallel/dp_server.py | 45 ++++++---------- .../serve/deployments/llm/vllm/vllm_models.py | 12 ----- .../prefill_decode_disagg.py | 14 +++-- .../cpu/builders/test_application_builders.py | 2 +- 6 files changed, 70 insertions(+), 59 deletions(-) diff --git a/python/ray/llm/_internal/serve/builders/application_builders.py b/python/ray/llm/_internal/serve/builders/application_builders.py index 45c81da72aec..769477044e1d 100644 --- a/python/ray/llm/_internal/serve/builders/application_builders.py +++ b/python/ray/llm/_internal/serve/builders/application_builders.py @@ -22,7 +22,7 @@ def build_llm_deployment( name_prefix: Optional[str] = None, deployment_kwargs: Optional[dict] = None, ) -> Application: - name_prefix = name_prefix or "LLMDeployment:" + name_prefix = name_prefix or "LLMServer:" deployment_kwargs = deployment_kwargs or {} deployment_options = llm_config.get_serve_options( diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 5be9ff21a1f9..910fce823c0c 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -29,6 +29,7 @@ ) from ray.llm._internal.common.utils.import_utils import try_import from ray.llm._internal.serve.configs.constants import ( + DEFAULT_MAX_ONGOING_REQUESTS, DEFAULT_MULTIPLEX_DOWNLOAD_TIMEOUT_S, DEFAULT_MULTIPLEX_DOWNLOAD_TRIES, ENABLE_WORKER_PROCESS_SETUP_HOOK, @@ -411,6 +412,18 @@ def get_engine_config(self) -> EngineConfigType: return self._engine_config + def update_engine_kwargs(self, **kwargs: Any) -> None: + """Update the engine_kwargs and the engine_config engine_kwargs. + + This is typically called during engine starts, when certain engine_kwargs + (e.g., data_parallel_rank) become available. + """ + self.engine_kwargs.update(kwargs) + # engine_config may be created before engine starts, this makes sure + # the engine_config is updated with the latest engine_kwargs. + if self._engine_config: + self._engine_config.engine_kwargs.update(kwargs) + def _set_deployment_placement_options(self) -> Dict[str, Any]: deployment_config = self.deployment_config engine_config = self.get_engine_config() @@ -487,7 +500,7 @@ def get_serve_options( The dictionary to use in .options() when creating the deployment. """ - deployment_config = self._set_deployment_placement_options() + deployment_options = self._set_deployment_placement_options() default_runtime_env = ray.get_runtime_context().runtime_env if ENABLE_WORKER_PROCESS_SETUP_HOOK: @@ -495,28 +508,53 @@ def get_serve_options( "worker_process_setup_hook" ] = "ray.llm._internal.serve._worker_process_setup_hook" - ray_actor_options = deployment_config.get("ray_actor_options", {}) + ray_actor_options = deployment_options.get("ray_actor_options", {}) ray_actor_options["runtime_env"] = { **default_runtime_env, # Existing runtime_env should take precedence over the default. **ray_actor_options.get("runtime_env", {}), **(self.runtime_env if self.runtime_env else {}), } - deployment_config["ray_actor_options"] = ray_actor_options + deployment_options["ray_actor_options"] = ray_actor_options # Set the name of the deployment config to map to the model ID. - if "name" not in deployment_config: - deployment_config["name"] = self._get_deployment_name() + if "name" not in deployment_options: + deployment_options["name"] = self._get_deployment_name() if name_prefix: - deployment_config["name"] = name_prefix + deployment_config["name"] + deployment_options["name"] = name_prefix + deployment_options["name"] + + # Configure DP deployment options. + # TODO(rui): move the following to DPServer, e.g., + # deployment_options = DPServer.get_deployment_options(llm_config) + dp_size = self.engine_kwargs.get("data_parallel_size", None) + if dp_size is not None: + if "num_replicas" in deployment_options: + raise ValueError( + "num_replicas should not be specified for DP deployment, " + "use engine_kwargs.data_parallel_size instead." + ) + if "autoscaling_config" in deployment_options: + raise ValueError( + "autoscaling_config is not supported for DP deployment, " + "use engine_kwargs.data_parallel_size to set a fixed number " + "of replicas instead." + ) + deployment_options["num_replicas"] = dp_size + deployment_options["max_ongoing_requests"] = DEFAULT_MAX_ONGOING_REQUESTS + if deployment_options["placement_group_strategy"] != "STRICT_PACK": + logger.warning( + f"DP deployment with placement_strategy={deployment_options['placement_group_strategy']} " + "is not supported. Using STRICT_PACK instead." + ) + deployment_options["placement_group_strategy"] = "STRICT_PACK" - return deployment_config + return deployment_options def setup_engine_backend(self): self._setup_kv_connector_backend() def _setup_kv_connector_backend(self): - """Private method to setup kv connector dependning on the local deployment state""" + """Private method to setup kv connector depending on the local deployment state""" # 1. validate that the backend is one of the backends supported (Nixl or LMCache) kv_transfer_config = self.engine_kwargs.get("kv_transfer_config") if not kv_transfer_config: diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index c59d2761ed84..7fb1cc2f49a1 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -4,7 +4,6 @@ from ray import serve from ray.experimental.collective.util import get_address_and_port -from ray.llm._internal.serve.configs.constants import DEFAULT_MAX_ONGOING_REQUESTS from ray.llm._internal.serve.configs.server_models import LLMConfig from ray.llm._internal.serve.deployments.data_parallel.dp_rank_assigner import ( DPRankAssigner, @@ -31,7 +30,7 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand replica_ctx = serve.get_replica_context() self.dp_rank = await self.dp_rank_assigner.register.remote(replica_ctx) - logger.info(f"DP rank {self.dp_rank} has registered") + logger.info(f"DP rank {self.dp_rank} registered with rank assigner") if self.dp_rank == 0: self.dp_address, self.dp_rpc_port = get_address_and_port() @@ -39,7 +38,9 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand self.dp_address, self.dp_rpc_port ) logger.info( - f"DP rank {self.dp_rank} has set DP master info: {self.dp_address}, {self.dp_rpc_port}" + f"DP rank {self.dp_rank} has set DP master info: " + f"data_parallel_address={self.dp_address}, " + f"data_parallel_rpc_port={self.dp_rpc_port}" ) else: timestamp = time.time() @@ -48,14 +49,18 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand self.dp_rpc_port, ) = await self.dp_rank_assigner.get_dp_master_info.remote() logger.info( - f"DP rank {self.dp_rank} got DP master info: {self.dp_address}, {self.dp_rpc_port}, " - f"after waiting for {time.time() - timestamp:.3f} seconds" + f"DP rank {self.dp_rank} got DP master info: " + f"data_parallel_address={self.dp_address}, " + f"data_parallel_rpc_port={self.dp_rpc_port}, " + f"waited {time.time() - timestamp:.3f} seconds" ) - # override the engine_kwargs to assign the DP rank. - llm_config.engine_kwargs["data_parallel_rank"] = self.dp_rank - llm_config.engine_kwargs["data_parallel_address"] = self.dp_address - llm_config.engine_kwargs["data_parallel_rpc_port"] = self.dp_rpc_port + # Update the engine_kwargs to assign the DP information + llm_config.update_engine_kwargs( + data_parallel_rank=self.dp_rank, + data_parallel_address=self.dp_address, + data_parallel_rpc_port=self.dp_rpc_port, + ) await super().__init__(llm_config) @@ -75,27 +80,9 @@ def build_dp_deployment( raise ValueError( "data_parallel_size should be greater than 1 for DP deployment." ) + + deployment_options = llm_config.get_serve_options(name_prefix=name_prefix) dp_rank_assigner = DPRankAssigner.bind(dp_size=dp_size) - name_prefix = name_prefix or "DPLLMDeployment:" - name = name_prefix + llm_config._get_deployment_name() - if "num_replicas" in llm_config.deployment_config: - raise ValueError( - "num_replicas should not be specified for DP deployment, " - "use engine_kwargs.data_parallel_size instead." - ) - if "autoscaling_config" in llm_config.deployment_config: - raise ValueError( - "autoscaling_config is not supported for DP deployment, " - "use engine_kwargs.data_parallel_size to set a fixed number " - "of replicas instead." - ) - # TODO(rui): support data_parallel_backend=ray and unify - # deployment_options handling with LLMDeployment. - deployment_options = { - "name": name, - "num_replicas": dp_size, - "max_ongoing_requests": DEFAULT_MAX_ONGOING_REQUESTS, - } return DPServer.as_deployment(deployment_options).bind( llm_config=llm_config, dp_rank_assigner=dp_rank_assigner ) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 4ca753eb9b12..081b0b2b6807 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -6,7 +6,6 @@ from vllm.engine.arg_utils import AsyncEngineArgs from vllm.entrypoints.openai.cli_args import FrontendArgs -import ray from ray.llm._internal.common.base_pydantic import BaseModelExtended from ray.llm._internal.common.utils.cloud_utils import CloudMirrorConfig from ray.llm._internal.common.utils.import_utils import try_import @@ -195,7 +194,6 @@ def placement_strategy(self) -> str: @property def placement_bundles(self) -> List[Dict[str, float]]: - dp_rank = self.engine_kwargs.get("data_parallel_rank", None) if self.resources_per_bundle: bundle = self.resources_per_bundle @@ -203,12 +201,6 @@ def placement_bundles(self) -> List[Dict[str, float]]: bundle = {"GPU": 1} if self.accelerator_type: bundle[self.ray_accelerator_type()] = 0.001 - if dp_rank is not None: - # For data parallel, we put the placement group on the same node - # as the driver. This is needed to pass ray_utils._verify_bundles() - # validation in vLLM. - node_ip = ray.util.get_node_ip_address() - bundle["node:" + node_ip] = 0.001 bundles = [bundle for _ in range(self.num_devices)] return bundles @@ -255,10 +247,6 @@ def get_or_create_pg(self) -> PlacementGroup: pg.id, placement_group_table(pg), ) - if dp_rank is not None: - raise NotImplementedError( - "Data parallel is not supported with VLLMEngine already in a placement group" - ) else: if not ALLOW_NEW_PLACEMENT_GROUPS_IN_DEPLOYMENT: raise RuntimeError( diff --git a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py index d825a30a2161..0c0ff2cff450 100644 --- a/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py +++ b/python/ray/llm/_internal/serve/deployments/prefill_decode_disagg/prefill_decode_disagg.py @@ -184,14 +184,12 @@ def build_pd_openai_app(pd_serving_args: dict) -> Application: for config in [pd_config.prefill_config, pd_config.decode_config]: if "kv_transfer_config" not in config.engine_kwargs: - config.engine_kwargs.update( - { - "kv_transfer_config": dict( - kv_connector="NixlConnector", - kv_role="kv_both", - engine_id=str(uuid.uuid4()), - ) - } + config.update_engine_kwargs( + kv_transfer_config=dict( + kv_connector="NixlConnector", + kv_role="kv_both", + engine_id=str(uuid.uuid4()), + ) ) prefill_deployment = build_llm_deployment( diff --git a/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py b/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py index a64dbd803c47..0bb3bbd48da4 100644 --- a/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py +++ b/python/ray/llm/tests/serve/cpu/builders/test_application_builders.py @@ -196,7 +196,7 @@ def test_build_llm_deployment( app = build_llm_deployment(llm_config_with_mock_engine) assert isinstance(app, serve.Application) handle = serve.run(app) - assert handle.deployment_name.startswith("LLMDeployment") + assert handle.deployment_name.startswith("LLMServer") def test_build_llm_deployment_with_name_prefix( self, From ec42ea259e45e535adbe9ba7c145053f16958458 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 18 Aug 2025 12:30:24 +0200 Subject: [PATCH 0737/1566] [RLlib - Offline] Fix some bugs in the docs for IQL and CQL (#55614) Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-algorithms.rst | 4 ++-- rllib/algorithms/iql/iql.py | 28 ++++++++++++++++++++++++++- 2 files changed, 29 insertions(+), 3 deletions(-) diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index 1fdd788f4c7b..dd8e84713c03 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -361,7 +361,7 @@ Conservative Q-Learning (CQL) **Tuned examples:** `Pendulum-v1 `__ -**CQL-specific configs** and :ref:`generic algorithm settings `): +**CQL-specific configs** (see also :ref:`generic algorithm settings `): .. autoclass:: ray.rllib.algorithms.cql.cql.CQLConfig :members: training @@ -386,7 +386,7 @@ Implicit Q-Learning (IQL) **Tuned examples:** `Pendulum-v1 `__ -**IQL-specific configs** and :ref:`generic algorithm settings `): +**IQL-specific configs** (see also :ref:`generic algorithm settings `): .. autoclass:: ray.rllib.algorithms.iql.iql.IQLConfig :members: training diff --git a/rllib/algorithms/iql/iql.py b/rllib/algorithms/iql/iql.py index c7175f6d1a7f..893555002708 100644 --- a/rllib/algorithms/iql/iql.py +++ b/rllib/algorithms/iql/iql.py @@ -22,7 +22,7 @@ class IQLConfig(MARWILConfig): from ray.rllib.algorithms.iql import IQLConfig # Run this from the ray directory root. - config = IQLConfig().training(lr=0.00001, gamma=0.99) + config = IQLConfig().training(actor_lr=0.00001, gamma=0.99) config = config.offline_data( input_="./rllib/tests/data/pendulum/pendulum-v1_enormous") @@ -99,6 +99,32 @@ def training( tau: Optional[float] = NotProvided, **kwargs, ) -> "IQLConfig": + """Sets the training related configuration. + + Args: + beta: The temperature to scaling advantages in exponential terms. + Must be >> 0.0. The higher this parameter the less greedy + (exploitative) the policy becomes. It also means that the policy + is fitting less to the best actions in the dataset. + twin_q: If a twin-Q architecture should be used (advisable). + expectile: The expectile to use in expectile regression for the value + function. For high expectiles the value function tries to match + the upper tail of the Q-value distribution. + actor_lr: The learning rate for the actor network. Actor learning rates + greater than critic learning rates work well in experiments. + critic_lr: The learning rate for the Q-network. Critic learning rates + greater than value function learning rates work well in experiments. + value_lr: The learning rate for the value function network. + target_network_update_freq: The number of timesteps in between the target + Q-network is fixed. Note, too high values here could harm convergence. + The target network is updated via Polyak-averaging. + tau: The update parameter for Polyak-averaging of the target Q-network. + The higher this value the faster the weights move towards the actual + Q-network. + + Return: + This updated `AlgorithmConfig` object. + """ super().training(**kwargs) if twin_q is not NotProvided: From 1adcbf30b0005b56f13559265e9d7f68a36e5a9d Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 18 Aug 2025 15:13:05 +0200 Subject: [PATCH 0738/1566] [RLlib - Offline RL] Fix bug in `return_iterator` in multi-learner settings. (#55693) Signed-off-by: Douglas Strodtman --- rllib/algorithms/algorithm_config.py | 6 +++--- rllib/algorithms/cql/cql.py | 11 ++++++++--- rllib/algorithms/marwil/marwil.py | 8 +++++--- 3 files changed, 16 insertions(+), 9 deletions(-) diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 2c6120b86452..19e8801319af 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -2989,7 +2989,7 @@ def evaluation( if offline_evaluation_type is not NotProvided: self.offline_evaluation_type = offline_evaluation_type if offline_eval_runner_class is not NotProvided: - self.offline_eval_runner_cls = offline_eval_runner_class + self.offline_eval_runner_class = offline_eval_runner_class if offline_loss_for_module_fn is not NotProvided: self.offline_loss_for_module_fn = offline_loss_for_module_fn if offline_eval_batch_size_per_runner is not NotProvided: @@ -5328,8 +5328,8 @@ def _validate_offline_settings(self): from ray.rllib.offline.offline_evaluation_runner import OfflineEvaluationRunner - if self.prelearner_class and not issubclass( - self.prelearner_class, OfflineEvaluationRunner + if self.offline_eval_runner_class and not issubclass( + self.offline_eval_runner_class, OfflineEvaluationRunner ): self._value_error( "Unknown `offline_eval_runner_class`. OfflineEvaluationRunner class needs to inherit " diff --git a/rllib/algorithms/cql/cql.py b/rllib/algorithms/cql/cql.py index de972a119a90..e2f3ac2eff44 100644 --- a/rllib/algorithms/cql/cql.py +++ b/rllib/algorithms/cql/cql.py @@ -302,15 +302,20 @@ def training_step(self) -> None: # Sampling from offline data. with self.metrics.log_time((TIMERS, OFFLINE_SAMPLING_TIMER)): + # If we should use an iterator in the learner(s). Note, in case of + # multiple learners we must always return a list of iterators. + return_iterator = return_iterator = ( + self.config.num_learners > 0 + or self.config.dataset_num_iters_per_learner != 1 + ) + # Return an iterator in case we are using remote learners. batch_or_iterator = self.offline_data.sample( num_samples=self.config.train_batch_size_per_learner, num_shards=self.config.num_learners, # Return an iterator, if a `Learner` should update # multiple times per RLlib iteration. - return_iterator=self.config.dataset_num_iters_per_learner > 1 - if self.config.dataset_num_iters_per_learner - else True, + return_iterator=return_iterator, ) # Updating the policy. diff --git a/rllib/algorithms/marwil/marwil.py b/rllib/algorithms/marwil/marwil.py index b0a06ae6d2d8..4ebf1d9333a4 100644 --- a/rllib/algorithms/marwil/marwil.py +++ b/rllib/algorithms/marwil/marwil.py @@ -457,11 +457,13 @@ class (multi-/single-learner setup) and evaluation on # the user that sth. is not right, although it is as # we do not step the env. with self.metrics.log_time((TIMERS, OFFLINE_SAMPLING_TIMER)): + # If we should use an iterator in the learner(s). Note, in case of + # multiple learners we must always return a list of iterators. return_iterator = ( - self.config.dataset_num_iters_per_learner > 1 - if self.config.dataset_num_iters_per_learner - else True + self.config.num_learners > 0 + or self.config.dataset_num_iters_per_learner != 1 ) + # Sampling from offline data. batch_or_iterator = self.offline_data.sample( num_samples=self.config.train_batch_size_per_learner, From 20279ca555f60520776821bf362b6ef68454814f Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 18 Aug 2025 15:26:58 +0200 Subject: [PATCH 0739/1566] [RLlib] - Fix `TensorType` (#55694) Signed-off-by: Douglas Strodtman --- rllib/utils/typing.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rllib/utils/typing.py b/rllib/utils/typing.py index 81116fbcacaf..3f7f559b6e2c 100644 --- a/rllib/utils/typing.py +++ b/rllib/utils/typing.py @@ -39,8 +39,8 @@ jnp = jax.numpy # Represents a generic tensor type. -# This could be an np.ndarray, tf.Tensor, or a torch.Tensor. -TensorType = Union[np.array, "jnp.ndarray", "tf.Tensor", "torch.Tensor"] +# This could be an np.ndarray, jnp.ndarray, tf.Tensor, or a torch.Tensor. +TensorType = Union[np.ndarray, "jnp.ndarray", "tf.Tensor", "torch.Tensor"] # Either a plain tensor, or a dict or tuple of tensors (or StructTensors). TensorStructType = Union[TensorType, dict, tuple] From b68368ca1952223f0367535dd712f613089f0654 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 18 Aug 2025 07:33:47 -0700 Subject: [PATCH 0740/1566] [core] Follow-up to address comments of BaseException PR #55602 (#55690) ## Why are these changes needed? Address comments from #55602 - Moving the base exception and exception group tests into their own file so they can use a shared fixture - Adding comment for SystemExit and KeyboardInterrupt behavior - Adding tests to test behavior if user code raises SystemExit or KeyboardInterrupt --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 2 + python/ray/tests/BUILD | 2 +- ...group.py => test_baseexceptionandgroup.py} | 133 ++++++++++++++++-- python/ray/tests/test_failure.py | 50 ------- python/ray/tests/test_streaming_generator.py | 42 ------ 5 files changed, 127 insertions(+), 102 deletions(-) rename python/ray/tests/{test_exceptiongroup.py => test_baseexceptionandgroup.py} (60%) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index a88e81009fa1..ee02c709fafa 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2013,6 +2013,7 @@ cdef void execute_task( except AsyncioActorExit as e: exit_current_actor_if_asyncio() except (KeyboardInterrupt, SystemExit): + # Special casing these two because Ray can raise them raise except BaseException as e: is_retryable_error[0] = determine_if_retryable( @@ -2124,6 +2125,7 @@ cdef void execute_task( c_tensor_transport ) except (KeyboardInterrupt, SystemExit): + # Special casing these two because Ray can raise them raise except BaseException as e: num_errors_stored = store_task_errors( diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 7716ecc22d9a..5f1198c5bd99 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -510,6 +510,7 @@ py_test_module_list( "test_async_compat.py", "test_asyncio_cluster.py", "test_autoscaling_policy.py", + "test_baseexceptionandgroup.py", "test_bounded_unix_sockets.py", "test_component_failures.py", "test_concurrency_group.py", @@ -519,7 +520,6 @@ py_test_module_list( "test_distributed_sort.py", "test_environ.py", "test_error_ray_not_initialized.py", - "test_exceptiongroup.py", "test_gcs_pubsub.py", "test_get_or_create_actor.py", "test_grpc_client_credentials.py", diff --git a/python/ray/tests/test_exceptiongroup.py b/python/ray/tests/test_baseexceptionandgroup.py similarity index 60% rename from python/ray/tests/test_exceptiongroup.py rename to python/ray/tests/test_baseexceptionandgroup.py index 26a4d33cbf8b..a363bdf84eaf 100644 --- a/python/ray/tests/test_exceptiongroup.py +++ b/python/ray/tests/test_baseexceptionandgroup.py @@ -1,18 +1,129 @@ +import pytest import sys from textwrap import dedent -import pytest - import ray -from ray.exceptions import RayTaskError +from ray.exceptions import ( + RayTaskError, + ActorDiedError, + TaskCancelledError, + WorkerCrashedError, +) + + +def test_baseexception_task(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + + @ray.remote + def task(): + raise MyBaseException("abc") + + with pytest.raises(MyBaseException): + ray.get(task.remote()) + + +def test_baseexception_actor_task(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + + @ray.remote + class Actor: + def f(self): + raise MyBaseException("abc") + + async def async_f(self): + raise MyBaseException("abc") + + a = Actor.remote() + with pytest.raises(MyBaseException): + ray.get(a.f.remote()) + + with pytest.raises(MyBaseException): + ray.get(a.async_f.remote()) + + +def test_baseexception_actor_creation(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + + @ray.remote + class Actor: + def __init__(self): + raise MyBaseException("abc") + + with pytest.raises(ActorDiedError) as e: + a = Actor.remote() + ray.get(a.__ray_ready__.remote()) + assert "MyBaseException" in str(e.value) + + +def test_baseexception_streaming_generator(ray_start_regular_shared): + class MyBaseException(BaseException): + pass + + @ray.remote + def raise_at_beginning(): + raise MyBaseException("rip") + yield 1 + + raise_at_beginning_ref = raise_at_beginning.remote() + with pytest.raises(MyBaseException): + ray.get(next(raise_at_beginning_ref)) + + @ray.remote + def raise_at_middle(): + for i in range(1, 10): + if i == 5: + raise MyBaseException("rip") + yield i + + raise_at_middle_ref = raise_at_middle.remote() + for i in range(1, 5): + assert i == ray.get(next(raise_at_middle_ref)) + with pytest.raises(MyBaseException): + ray.get(next(raise_at_middle_ref)) + + @ray.remote(_generator_backpressure_num_objects=1) + def raise_after_backpressure(): + for i in range(1, 10): + if i == 5: + raise MyBaseException("rip") + yield i + + raise_after_backpressure_ref = raise_after_backpressure.remote() + for i in range(1, 5): + assert i == ray.get(next(raise_after_backpressure_ref)) + with pytest.raises(MyBaseException): + ray.get(next(raise_after_backpressure_ref)) + + +def test_raise_system_exit(ray_start_regular_shared): + @ray.remote + def task(): + raise SystemExit("abc") + + with pytest.raises(WorkerCrashedError): + ray.get(task.remote()) + + +def test_raise_keyboard_interrupt(ray_start_regular_shared): + @ray.remote + def task(): + raise KeyboardInterrupt("abc") + + with pytest.raises(TaskCancelledError): + ray.get(task.remote()) + -pytestmark = pytest.mark.skipif( +skip_if_python_less_than_3_11 = pytest.mark.skipif( sys.version_info < (3, 11), reason="ExceptionGroup is only available in Python 3.11+", ) -def test_baseexceptiongroup_task(ray_start_regular): +@skip_if_python_less_than_3_11 +def test_baseexceptiongroup_task(ray_start_regular_shared): baseexceptiongroup = BaseExceptionGroup( # noqa: F821 "test baseexceptiongroup", [BaseException("abc")] ) @@ -25,7 +136,8 @@ def task(): ray.get(task.remote()) -def test_baseexceptiongroup_actor(ray_start_regular): +@skip_if_python_less_than_3_11 +def test_baseexceptiongroup_actor(ray_start_regular_shared): baseexceptiongroup = BaseExceptionGroup( # noqa: F821 "test baseexceptiongroup", [BaseException("abc")] ) @@ -40,7 +152,8 @@ def f(self): ray.get(a.f.remote()) -def test_except_exceptiongroup(ray_start_regular): +@skip_if_python_less_than_3_11 +def test_except_exceptiongroup(ray_start_regular_shared): exceptiongroup = ExceptionGroup( # noqa: F821 "test exceptiongroup", [ValueError(), TypeError()] ) @@ -74,7 +187,8 @@ def f(self): assert isinstance(ex.exceptions[1], TypeError) -def test_except_star_exception(ray_start_regular): +@skip_if_python_less_than_3_11 +def test_except_star_exception(ray_start_regular_shared): @ray.remote def task(): raise ValueError @@ -126,7 +240,8 @@ def f(self): exec(python_code) -def test_except_star_exceptiongroup(ray_start_regular): +@skip_if_python_less_than_3_11 +def test_except_star_exceptiongroup(ray_start_regular_shared): exceptiongroup = ExceptionGroup( # noqa: F821 "test exceptiongroup", [ValueError(), TypeError()] ) diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index 06de8f5dd70b..aa77f870e193 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -380,56 +380,6 @@ def foo(): assert isinstance(ex, RayTaskError) -def test_baseexception_task(ray_start_regular): - class MyBaseException(BaseException): - pass - - @ray.remote - def task(): - raise MyBaseException("abc") - - with pytest.raises(MyBaseException): - ray.get(task.remote()) - - -def test_baseexception_actor_task(ray_start_regular): - class MyBaseException(BaseException): - pass - - @ray.remote - class Actor: - def f(self): - raise MyBaseException("abc") - - async def async_f(self): - raise MyBaseException("abc") - - a = Actor.remote() - with pytest.raises(MyBaseException): - ray.get(a.f.remote()) - - a = Actor.remote() - with pytest.raises(MyBaseException): - ray.get(a.async_f.remote()) - - -def test_baseexception_actor_creation(ray_start_regular): - class MyBaseException(BaseException): - pass - - @ray.remote - class Actor: - def __init__(self): - raise MyBaseException("abc") - - a = Actor.remote() - try: - ray.get(a.__ray_ready__.remote()) - raise Exception("abc") - except ActorDiedError as e: - assert "MyBaseException" in str(e) - - @pytest.mark.skip("This test does not work yet.") @pytest.mark.parametrize("ray_start_object_store_memory", [10**6], indirect=True) def test_put_error1(ray_start_object_store_memory, error_pubsub): diff --git a/python/ray/tests/test_streaming_generator.py b/python/ray/tests/test_streaming_generator.py index 2e0136d91161..2e166e190ba5 100644 --- a/python/ray/tests/test_streaming_generator.py +++ b/python/ray/tests/test_streaming_generator.py @@ -576,48 +576,6 @@ async def async_f(self): ray.get(next(g)) -def test_baseexception_streaming_generator(shutdown_only): - ray.init() - - class MyBaseException(BaseException): - pass - - @ray.remote - def raise_at_beginning(): - raise MyBaseException("rip") - yield 1 - - raise_at_beginning_ref = raise_at_beginning.remote() - with pytest.raises(MyBaseException): - ray.get(next(raise_at_beginning_ref)) - - @ray.remote - def raise_at_middle(): - for i in range(1, 10): - if i == 5: - raise MyBaseException("rip") - yield i - - raise_at_middle_ref = raise_at_middle.remote() - for i in range(1, 5): - assert i == ray.get(next(raise_at_middle_ref)) - with pytest.raises(MyBaseException): - ray.get(next(raise_at_middle_ref)) - - @ray.remote(_generator_backpressure_num_objects=1) - def raise_after_backpressure(): - for i in range(1, 10): - if i == 5: - raise MyBaseException("rip") - yield i - - raise_after_backpressure_ref = raise_after_backpressure.remote() - for i in range(1, 5): - assert i == ray.get(next(raise_after_backpressure_ref)) - with pytest.raises(MyBaseException): - ray.get(next(raise_after_backpressure_ref)) - - if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From a22afb8175fa3b9c27bd396e04524f3b76bc4262 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 18 Aug 2025 09:37:47 -0700 Subject: [PATCH 0741/1566] [ci] allowing spaces in append args field on depsets (3/4) (#55625) - Allowing for spaces in append args (splitting append arg flags before appending) - adding a couple unit tests --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/tests/test_cli.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 421a12b3c132..052a34e0de40 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -296,6 +296,36 @@ def test_get_path(self): == f"{tmpdir}/requirements_test.txt" ) + def test_append_uv_flags_exist_in_output(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.compile( + constraints=[], + requirements=["requirements_test.txt"], + name="general_depset", + output="requirements_compiled_general.txt", + append_flags=["--python-version=3.10"], + ) + output_file = Path(tmpdir) / "requirements_compiled_general.txt" + output_text = output_file.read_text() + assert "--python-version=3.10" in output_text + + def test_append_uv_flags_with_space_in_flag(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.compile( + constraints=[], + requirements=["requirements_test.txt"], + name="general_depset", + output="requirements_compiled_general.txt", + append_flags=["--python-version 3.10"], + ) + output_file = Path(tmpdir) / "requirements_compiled_general.txt" + output_text = output_file.read_text() + assert "--python-version 3.10" in output_text + def test_override_uv_flag_single_flag(self): expected_flags = DEFAULT_UV_FLAGS.copy() expected_flags.remove("--extra-index-url") From a7f8a47def61e2b681f13614b91c038b075916e8 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Mon, 18 Aug 2025 09:58:37 -0700 Subject: [PATCH 0742/1566] [Serve] Update test_deploy_2.py with get_application_url (#55665) We remove the hardcoded url within the test to use `get_application_url()` --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy_2.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index bf809d8d3ceb..62abad6082e0 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -266,13 +266,20 @@ def __call__(self): url = get_application_url("HTTP", app_name="app1") assert httpx.get(f"{url}").text == "hello alice" - proxy_url = "http://localhost:8000/-/routes" - routes = httpx.get(proxy_url).json() + url_without_route_prefix = get_application_url( + "HTTP", app_name="app1", exclude_route_prefix=True + ) + routes_url = f"{url_without_route_prefix}/-/routes" + routes = httpx.get(routes_url).json() assert routes["/app1"] == "app1" url = get_application_url("HTTP", app_name="app2") assert httpx.get(f"{url}").text == "hello bob" - routes = httpx.get(proxy_url).json() + url_without_route_prefix = get_application_url( + "HTTP", app_name="app2", exclude_route_prefix=True + ) + routes_url = f"{url_without_route_prefix}/-/routes" + routes = httpx.get(routes_url).json() assert routes["/app2"] == "app2" app1_status = serve.status().applications["app1"] From e5ceb2fe25d2f7a3e218be9b5ac18bd1d0449a25 Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Mon, 18 Aug 2025 19:10:31 +0200 Subject: [PATCH 0743/1566] [RLlib] Set default to 'log_gradients=False' to stabilize tests (#55695) ## Why are these changes needed? Right now `log_gradients` is by default `True` and this appears to destabilize tests (see #47717). This PR switches the default to `False`. ## Related issue number Closes #47717 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 Signed-off-by: Douglas Strodtman --- rllib/algorithms/algorithm_config.py | 4 ++-- .../examples/debugging/deterministic_sampling_and_training.py | 2 ++ 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 19e8801319af..98fe844d7a4a 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -565,7 +565,7 @@ def __init__(self, algo_class: Optional[type] = None): self.min_time_s_per_iteration = None self.min_train_timesteps_per_iteration = 0 self.min_sample_timesteps_per_iteration = 0 - self.log_gradients = True + self.log_gradients = False # `self.checkpointing()` self.export_native_model_files = False @@ -3653,7 +3653,7 @@ def reporting( executed. Set to 0 or None for no minimum timesteps. log_gradients: Log gradients to results. If this is `True` the global norm of the gradients dictionariy for each optimizer is logged to results. - The default is `True`. + The default is `False`. Returns: This updated AlgorithmConfig object. diff --git a/rllib/examples/debugging/deterministic_sampling_and_training.py b/rllib/examples/debugging/deterministic_sampling_and_training.py index 11319c4da112..219b5db07168 100644 --- a/rllib/examples/debugging/deterministic_sampling_and_training.py +++ b/rllib/examples/debugging/deterministic_sampling_and_training.py @@ -93,6 +93,8 @@ .environment("env" if args.num_agents > 0 else "CartPole-v1") # Make sure every environment gets a fixed seed. .debugging(seed=args.seed) + # Log gradients and check them in the test. + .reporting(log_gradients=True) ) # Add a simple multi-agent setup. From d312f84735136255e6be719a8b026a41aaec2b67 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Mon, 18 Aug 2025 10:38:44 -0700 Subject: [PATCH 0744/1566] [train][tune] Train Controller is always actor + fix tune integration to enable this (#55556) In the past, we used `RUN_CONTROLLER_AS_ACTOR_ENV_VAR` to toggle whether to run the controller as a separate actor (we want this in most cases) or on the current actor (we wanted this in Tune so we can propagate `ray.train.report` from Train to Tune using the `TuneReportCallback`). However, in order to implement `get_all_reported_checkpoints` (https://github.com/ray-project/ray/pull/54555), we need to pass the Train Controller actor to all the Train Worker actors. This method wouldn't work when using Train from Tune because the Train Controller actor handle would be the Tune Trainable actor handle which does not have the async `get_all_reported_checkpoints` method. This PR gets rid of `RUN_CONTROLLER_AS_ACTOR_ENV_VAR` once and for all by making all communication between Train and Tune happen through a lightweight `ray.util.Queue` actor instead of forcing Train and Tune to happen on the same process. --------- Signed-off-by: Timothy Seah Co-authored-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../train/doc_code/train_tune_interop.py | 3 +- python/ray/train/_internal/session.py | 44 +++++++++++++----- python/ray/train/tests/test_session.py | 42 +++++++++++++++++ python/ray/train/v2/_internal/constants.py | 4 -- .../ray/train/v2/api/data_parallel_trainer.py | 45 ++++++++----------- python/ray/tune/integration/ray_train.py | 12 ++++- .../ray/tune/trainable/function_trainable.py | 12 ----- 7 files changed, 105 insertions(+), 57 deletions(-) diff --git a/doc/source/train/doc_code/train_tune_interop.py b/doc/source/train/doc_code/train_tune_interop.py index 167528f33988..0b630cbe459d 100644 --- a/doc/source/train/doc_code/train_tune_interop.py +++ b/doc/source/train/doc_code/train_tune_interop.py @@ -65,7 +65,8 @@ def train_driver_fn(config: dict): # Launch a single Train run. -train_driver_fn({"num_workers": 4, "train_loop_config": {"lr": 1e-3}}) +# Note that you can only create a TuneReportCallback in a Ray Tune session. +# train_driver_fn({"num_workers": 4, "train_loop_config": {"lr": 1e-3}}) # Launch a sweep of hyperparameters with Ray Tune. diff --git a/python/ray/train/_internal/session.py b/python/ray/train/_internal/session.py index dec5b062ef4f..1bef98b15025 100644 --- a/python/ray/train/_internal/session.py +++ b/python/ray/train/_internal/session.py @@ -36,6 +36,7 @@ ) from ray.train.error import SessionMisuseError from ray.train.utils import _log_deprecation_warning +from ray.util import queue as ray_queue from ray.util.annotations import DeveloperAPI, PublicAPI from ray.util.debug import log_once from ray.util.placement_group import _valid_resource_shape @@ -205,6 +206,9 @@ def reset( # Queue for sending results across threads. self.result_queue = queue.Queue(1) + # Queue for sending results from training actor to main thread. + self._inter_actor_queue: Optional[ray_queue.Queue[Dict]] = None + # Queue for raising exceptions from runner thread to main thread. # The error queue has a max size of one to prevent stacking error and force # error reporting to block until finished. @@ -282,24 +286,14 @@ def get_next(self) -> Optional[_TrainingResult]: result = None # While training is still ongoing, attempt to get the result. while result is None and self.training_thread.is_alive(): - try: - result = self.result_queue.get( - block=True, timeout=_RESULT_FETCH_TIMEOUT - ) - except queue.Empty: - pass + result = self._get_result_from_queues(block=True) # If no result was found, then the runner must no longer be alive. if result is None: # Try one last time to fetch results in case results were # reported in between the time of the last check and the # termination of the thread runner. - try: - result = self.result_queue.get( - block=False, timeout=_RESULT_FETCH_TIMEOUT - ) - except queue.Empty: - pass + result = self._get_result_from_queues(block=False) # check if error occurred inside the thread runner. if result is None: @@ -325,6 +319,32 @@ def get_next(self) -> Optional[_TrainingResult]: # Return None if there are no more results to fetch. return result + def _get_or_create_inter_actor_queue(self): + """Get or create the inter-actor queue.""" + if self._inter_actor_queue is None: + self._inter_actor_queue = ray_queue.Queue(1, actor_options={"num_cpus": 0}) + return self._inter_actor_queue + + def _get_result_from_queues(self, block: bool) -> Optional[_TrainingResult]: + """Get result from result queue. Pass result from training actor result queue if needed.""" + result = None + if self._inter_actor_queue is not None: + try: + inter_actor_item = self._inter_actor_queue.get( + block=block, timeout=_RESULT_FETCH_TIMEOUT + ) + if inter_actor_item: + # Must release continue_lock to allow report to work. + self.continue_lock.release() + self.report(inter_actor_item) + except ray_queue.Empty: + pass + try: + result = self.result_queue.get(block=block, timeout=_RESULT_FETCH_TIMEOUT) + except queue.Empty: + pass + return result + def _auto_fill_metrics(self, result: dict) -> dict: """Add autofilled metrics and update attributes.""" current_time = time.time() diff --git a/python/ray/train/tests/test_session.py b/python/ray/train/tests/test_session.py index c70e4ecbbd8e..071aeeaa18af 100644 --- a/python/ray/train/tests/test_session.py +++ b/python/ray/train/tests/test_session.py @@ -17,6 +17,7 @@ ) from ray.train._internal.accelerator import Accelerator from ray.train._internal.session import ( + _TrainingResult, get_accelerator, get_session, init_session, @@ -170,6 +171,47 @@ def test_report_after_finish(session): shutdown_session() +@pytest.mark.parametrize( + "block,put_result_queue,put_actor_queue", + [ + (False, False, False), + (False, False, True), + (False, True, False), + (True, False, False), + (True, False, True), + (True, True, False), + ], +) +def test_get_result_from_queues(session, block, put_result_queue, put_actor_queue): + """Verify that we get the expected _TrainingResult from each result queue. + + `block` describes whether we wait for a result or return after a timeout. + This argument should have no impact on this unit test. + `put_result_queue` and `put_actor_queue` are mutually exclusive and describe + which queue has results to process. The returned _TrainingResult should be + from the expected queue. + """ + result_queue_training_result = _TrainingResult( + checkpoint=None, + metrics={"result_queue_metric_key": "result_queue_metric_value"}, + ) + if put_result_queue: + session.result_queue.put(result_queue_training_result, block=True) + inter_actor_result = {"inter_actor_metric_key": "inter_actor_metric_value"} + if put_actor_queue: + session._get_or_create_inter_actor_queue().put(inter_actor_result, block=True) + result = session._get_result_from_queues(block=block) + if put_result_queue: + assert result == result_queue_training_result + elif put_actor_queue: + assert ( + result.metrics["inter_actor_metric_key"] + == inter_actor_result["inter_actor_metric_key"] + ) + else: + assert result is None + + def test_no_start(session): with pytest.raises(RuntimeError): session.get_next() diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index 65a5eef0b2fc..c71e3e48b468 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -103,10 +103,6 @@ # The environment variable to enable the Ray Train Metrics. METRICS_ENABLED_ENV_VAR = "RAY_TRAIN_METRICS_ENABLED" -# Whether or not to run the controller as an actor. -RUN_CONTROLLER_AS_ACTOR_ENV_VAR = "RAY_TRAIN_RUN_CONTROLLER_AS_ACTOR" -DEFAULT_RUN_CONTROLLER_AS_ACTOR = True - def is_v2_enabled() -> bool: return env_bool(V2_ENABLED_ENV_VAR, False) diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 369d8762e87d..6eef7c9bb247 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -1,7 +1,7 @@ -import asyncio import logging import signal import sys +import threading from typing import Any, Callable, Dict, List, Optional, Union import ray @@ -39,9 +39,7 @@ from ray.train.v2._internal.callbacks.state_manager import StateManagerCallback from ray.train.v2._internal.callbacks.user_callback import UserCallbackHandler from ray.train.v2._internal.constants import ( - DEFAULT_RUN_CONTROLLER_AS_ACTOR, METRICS_ENABLED_ENV_VAR, - RUN_CONTROLLER_AS_ACTOR_ENV_VAR, get_env_vars_to_propagate, ) from ray.train.v2._internal.execution.callback import RayTrainCallback @@ -197,31 +195,26 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: return callbacks def _initialize_and_run_controller(self, **controller_init_kwargs) -> Result: - run_controller_as_actor = env_bool( - RUN_CONTROLLER_AS_ACTOR_ENV_VAR, DEFAULT_RUN_CONTROLLER_AS_ACTOR - ) - if run_controller_as_actor: - # Attach the controller to the node running the driver script. - controller_actor_cls = ray.remote( - num_cpus=0, - scheduling_strategy=NodeAffinitySchedulingStrategy( - node_id=ray.get_runtime_context().get_node_id(), soft=False - ), - # TODO: Extract env variables that affect controller behavior - # and pass them as explicit args - runtime_env={"env_vars": get_env_vars_to_propagate()}, - )(TrainController) - - controller = controller_actor_cls.remote(**controller_init_kwargs) - + # Attach the controller to the node running the driver script. + controller_actor_cls = ray.remote( + num_cpus=0, + scheduling_strategy=NodeAffinitySchedulingStrategy( + node_id=ray.get_runtime_context().get_node_id(), soft=False + ), + # TODO: Extract env variables that affect controller behavior + # and pass them as explicit args + runtime_env={"env_vars": get_env_vars_to_propagate()}, + )(TrainController) + + controller = controller_actor_cls.remote(**controller_init_kwargs) + + # If this is not the main thread - as is the case when running in Tune - + # registering the SIGINT handler raises an exception. + if threading.current_thread() is threading.main_thread(): self._register_sigint_handler(controller) - ray.get(controller.run.remote()) - return ray.get(controller.get_result.remote()) - else: - controller = TrainController(**controller_init_kwargs) - asyncio.run(controller.run()) - return controller.get_result() + ray.get(controller.run.remote()) + return ray.get(controller.get_result.remote()) def _register_sigint_handler(self, controller: ActorHandle[TrainController]): """Register SIGINT handler so user Ctrl C gracefully aborts run.""" diff --git a/python/ray/tune/integration/ray_train.py b/python/ray/tune/integration/ray_train.py index f8dfc60d3abf..89302a65869a 100644 --- a/python/ray/tune/integration/ray_train.py +++ b/python/ray/tune/integration/ray_train.py @@ -1,9 +1,10 @@ from typing import Any, Dict, List, Optional -import ray.tune from ray.train import Checkpoint as RayTrainCheckpoint +from ray.train._internal.session import get_session from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2.api.callback import UserCallback +from ray.tune.trainable.trainable_fn_utils import _in_tune_session from ray.util.annotations import DeveloperAPI CHECKPOINT_PATH_KEY = "checkpoint_path" @@ -13,6 +14,13 @@ class TuneReportCallback(UserCallback): """Propagate metrics and checkpoint paths from Ray Train workers to Ray Tune.""" + def __init__(self): + if not _in_tune_session(): + raise RuntimeError("TuneReportCallback must be used in a Tune session.") + self._training_actor_item_queue = ( + get_session()._get_or_create_inter_actor_queue() + ) + def after_report( self, run_context: TrainRunContext, @@ -29,4 +37,4 @@ def after_report( if checkpoint: metrics[CHECKPOINT_PATH_KEY] = checkpoint.path - ray.tune.report(metrics=metrics) + self._training_actor_item_queue.put(metrics) diff --git a/python/ray/tune/trainable/function_trainable.py b/python/ray/tune/trainable/function_trainable.py index 9dc9ff02cbfd..e7110275d2c0 100644 --- a/python/ray/tune/trainable/function_trainable.py +++ b/python/ray/tune/trainable/function_trainable.py @@ -16,7 +16,6 @@ init_session, shutdown_session, ) -from ray.train.v2._internal.constants import RUN_CONTROLLER_AS_ACTOR_ENV_VAR from ray.tune.execution.placement_groups import PlacementGroupFactory from ray.tune.result import DEFAULT_METRIC, RESULT_DUPLICATE, SHOULD_CHECKPOINT from ray.tune.trainable.trainable import Trainable @@ -65,17 +64,6 @@ def setup(self, config): ) self._last_training_result: Optional[_TrainingResult] = None - # NOTE: This environment variable is used to disable the - # spawning a new actor for Ray Train drivers being launched - # within Tune functions. - # There are 2 reasons for this: - # 1. Ray Tune already spawns an actor, so we can run the Ray Train - # driver directly in the same actor. - # 2. This allows `ray.tune.report` to be called within Ray Train driver - # callbacks, since it needs to be called on the same process as the - # Tune FunctionTrainable actor. - os.environ[RUN_CONTROLLER_AS_ACTOR_ENV_VAR] = "0" - def _trainable_func(self, config: Dict[str, Any]): """Subclasses can override this to set the trainable func.""" From de44c356f3e9051dd7f8378f941004fad88562ea Mon Sep 17 00:00:00 2001 From: yi wang <48236141+my-vegetable-has-exploded@users.noreply.github.com> Date: Tue, 19 Aug 2025 02:00:27 +0800 Subject: [PATCH 0745/1566] [Data] explain API for dataset (#55482) ## Why are these changes needed? Introduce explain() for dataset, which output logical plan and physical plan. ## Related issue number part of #55052 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: my-vegetable-has-exploded Signed-off-by: Richard Liaw Co-authored-by: Richard Liaw Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/plan.py | 81 +++++++++++++++-------- python/ray/data/dataset.py | 26 ++++++++ python/ray/data/tests/test_consumption.py | 44 ++++++++++++ 3 files changed, 122 insertions(+), 29 deletions(-) diff --git a/python/ray/data/_internal/plan.py b/python/ray/data/_internal/plan.py index 148d144d6d10..a471949d89e3 100644 --- a/python/ray/data/_internal/plan.py +++ b/python/ray/data/_internal/plan.py @@ -11,6 +11,7 @@ from ray.data._internal.logical.interfaces import SourceOperator from ray.data._internal.logical.interfaces.logical_operator import LogicalOperator from ray.data._internal.logical.interfaces.logical_plan import LogicalPlan +from ray.data._internal.logical.interfaces.operator import Operator from ray.data._internal.logical.operators.read_operator import Read from ray.data._internal.stats import DatasetStats from ray.data._internal.util import unify_ref_bundles_schema @@ -111,6 +112,54 @@ def __repr__(self) -> str: f")" ) + def explain(self) -> str: + """Return a string representation of the logical and physical plan.""" + from ray.data._internal.logical.optimizers import get_execution_plan + + logical_plan = self._logical_plan + logical_plan_str, _ = self.generate_plan_string(logical_plan.dag) + logical_plan_str = "-------- Logical Plan --------\n" + logical_plan_str + + physical_plan = get_execution_plan(self._logical_plan) + physical_plan_str, _ = self.generate_plan_string( + physical_plan.dag, show_op_repr=True + ) + physical_plan_str = "-------- Physical Plan --------\n" + physical_plan_str + + return logical_plan_str + physical_plan_str + + @staticmethod + def generate_plan_string( + op: Operator, + curr_str: str = "", + depth: int = 0, + including_source: bool = True, + show_op_repr: bool = False, + ): + """Traverse (DFS) the Plan DAG and + return a string representation of the operators.""" + if not including_source and isinstance(op, SourceOperator): + return curr_str, depth + + curr_max_depth = depth + + # For logical plan, only show the operator name like "Aggregate". + # But for physical plan, show the operator class name as well like "AllToAllOperator[Aggregate]". + op_str = repr(op) if show_op_repr else op.name + + if depth == 0: + curr_str += f"{op_str}\n" + else: + trailing_space = " " * ((depth - 1) * 3) + curr_str += f"{trailing_space}+- {op_str}\n" + + for input in op.input_dependencies: + curr_str, input_max_depth = ExecutionPlan.generate_plan_string( + input, curr_str, depth + 1, including_source, show_op_repr + ) + curr_max_depth = max(curr_max_depth, input_max_depth) + return curr_str, curr_max_depth + def get_plan_as_string(self, dataset_cls: Type["Dataset"]) -> str: """Create a cosmetic string representation of this execution plan. @@ -128,35 +177,9 @@ def get_plan_as_string(self, dataset_cls: Type["Dataset"]) -> str: plan_str = "" plan_max_depth = 0 if not self.has_computed_output(): - - def generate_logical_plan_string( - op: LogicalOperator, - curr_str: str = "", - depth: int = 0, - ): - """Traverse (DFS) the LogicalPlan DAG and - return a string representation of the operators.""" - if isinstance(op, SourceOperator): - return curr_str, depth - - curr_max_depth = depth - op_name = op.name - if depth == 0: - curr_str += f"{op_name}\n" - else: - trailing_space = " " * ((depth - 1) * 3) - curr_str += f"{trailing_space}+- {op_name}\n" - - for input in op.input_dependencies: - curr_str, input_max_depth = generate_logical_plan_string( - input, curr_str, depth + 1 - ) - curr_max_depth = max(curr_max_depth, input_max_depth) - return curr_str, curr_max_depth - - # generate_logical_plan_string(self._logical_plan.dag) - plan_str, plan_max_depth = generate_logical_plan_string( - self._logical_plan.dag + # using dataset as source here, so don't generate source operator in generate_plan_string + plan_str, plan_max_depth = self.generate_plan_string( + self._logical_plan.dag, including_source=False ) if self._snapshot_bundle is not None: diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 8766434c425a..2d619381c66f 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -5965,6 +5965,32 @@ def stats(self) -> str: return self._write_ds.stats() return self._get_stats_summary().to_string() + @PublicAPI(api_group=IM_API_GROUP, stability="alpha") + def explain(self): + """Show the logical plan and physical plan of the dataset. + + Examples: + + .. testcode:: + + import ray + from ray.data import Dataset + ds: Dataset = ray.data.range(10, override_num_blocks=10) + ds = ds.map(lambda x: x + 1) + ds.explain() + + .. testoutput:: + + -------- Logical Plan -------- + Map() + +- ReadRange + -------- Physical Plan -------- + TaskPoolMapOperator[ReadRange->Map()] + +- InputDataBuffer[Input] + + """ + print(self._plan.explain()) + def _get_stats_summary(self) -> DatasetStatsSummary: return self._plan.stats().to_summary() diff --git a/python/ray/data/tests/test_consumption.py b/python/ray/data/tests/test_consumption.py index 4176bce5aa7b..c5b4fd3f5b65 100644 --- a/python/ray/data/tests/test_consumption.py +++ b/python/ray/data/tests/test_consumption.py @@ -535,6 +535,50 @@ def my_dummy_fn(x): ) +def test_dataset_explain(ray_start_regular_shared, capsys): + ds = ray.data.range(10, override_num_blocks=10) + ds = ds.map(lambda x: x) + + ds.explain() + captured = capsys.readouterr() + assert captured.out.rstrip() == ( + "-------- Logical Plan --------\n" + "Map()\n" + "+- ReadRange\n" + "-------- Physical Plan --------\n" + "TaskPoolMapOperator[ReadRange->Map()]\n" + "+- InputDataBuffer[Input]" + ) + + ds = ds.filter(lambda x: x["id"] > 0) + ds.explain() + captured = capsys.readouterr() + assert captured.out.rstrip() == ( + "-------- Logical Plan --------\n" + "Filter()\n" + "+- Map()\n" + " +- ReadRange\n" + "-------- Physical Plan --------\n" + "TaskPoolMapOperator[ReadRange->Map()->Filter()]\n" + "+- InputDataBuffer[Input]" + ) + ds = ds.random_shuffle().map(lambda x: x) + ds.explain() + captured = capsys.readouterr() + assert captured.out.rstrip() == ( + "-------- Logical Plan --------\n" + "Map()\n" + "+- RandomShuffle\n" + " +- Filter()\n" + " +- Map()\n" + " +- ReadRange\n" + "-------- Physical Plan --------\n" + "TaskPoolMapOperator[Map()]\n" + "+- AllToAllOperator[ReadRange->Map()->Filter()->RandomShuffle]\n" + " +- InputDataBuffer[Input]" + ) + + @pytest.mark.parametrize("lazy", [False, True]) def test_limit(ray_start_regular_shared, lazy): ds = ray.data.range(100, override_num_blocks=20) From 48ac91634e164d4c2d472b70b91fd462dcd222d6 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Mon, 18 Aug 2025 23:47:39 +0530 Subject: [PATCH 0746/1566] [core] Add logic to convert TaskProfileEvent to RayEvent before sending to event aggregator (#55138) As part of oneEvent effort, all individual task event objects (such as task definition event, task execution event, etc) are being consolidated under one type: RayEvent. This pr adds the translation logic to convert the `TaskProfileEvent` ->` rpc::events::RayEvent object` + tests to verify that the translation and subsequent section of the `TaskEventBufferImpl` correctly deal with the constructed RayEvent. Signed-off-by: sampan Signed-off-by: Sampan S Nayak Co-authored-by: sampan Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- src/ray/core_worker/profile_event.cc | 3 +- src/ray/core_worker/task_event_buffer.cc | 55 ++++- src/ray/core_worker/task_event_buffer.h | 19 +- .../tests/scheduling_queue_test.cc | 2 + .../tests/task_receiver_test.cc | 2 + .../tests/task_event_buffer_test.cc | 202 +++++++++++++++++- .../core_worker/tests/task_manager_test.cc | 2 + 7 files changed, 272 insertions(+), 13 deletions(-) diff --git a/src/ray/core_worker/profile_event.cc b/src/ray/core_worker/profile_event.cc index a6c8348dd8b7..6da5ec40c0c0 100644 --- a/src/ray/core_worker/profile_event.cc +++ b/src/ray/core_worker/profile_event.cc @@ -48,7 +48,8 @@ ProfileEvent::ProfileEvent(TaskEventBuffer &task_event_buffer, worker_context.GetWorkerID().Binary(), node_ip_address, event_name, - absl::GetCurrentTimeNanos()); + absl::GetCurrentTimeNanos(), + task_event_buffer_.GetSessionName()); } ProfileEvent::~ProfileEvent() { diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index bfc85faad1f7..e3ead75ec489 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -55,13 +55,15 @@ TaskProfileEvent::TaskProfileEvent(TaskID task_id, std::string component_id, std::string node_ip_address, std::string event_name, - int64_t start_time) + int64_t start_time, + std::string session_name) : TaskEvent(task_id, job_id, attempt_number), component_type_(std::move(component_type)), component_id_(std::move(component_id)), node_ip_address_(std::move(node_ip_address)), event_name_(std::move(event_name)), - start_time_(start_time) {} + start_time_(start_time), + session_name_(session_name) {} void TaskStatusEvent::ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) { // Base fields @@ -342,9 +344,42 @@ void TaskProfileEvent::ToRpcTaskExportEvents( event_entry->set_extra_data(std::move(extra_data_)); } +void TaskProfileEvent::PopulateRpcRayEventBaseFields( + rpc::events::RayEvent &ray_event, google::protobuf::Timestamp timestamp) { + ray_event.set_event_id(UniqueID::FromRandom().Binary()); + ray_event.set_source_type(rpc::events::RayEvent::CORE_WORKER); + ray_event.mutable_timestamp()->CopyFrom(timestamp); + ray_event.set_severity(rpc::events::RayEvent::INFO); + ray_event.set_event_type(rpc::events::RayEvent::TASK_PROFILE_EVENT); + ray_event.set_session_name(session_name_); +} + void TaskProfileEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { - // TODO(myan): #54515 need to further figure out how to migrate the task profile event - // to the new ray event format. + auto &[task_profile_Event, null_event] = ray_events_pair; + // Second element of the RayEventsPair will always be empty for TaskProfileEvent + null_event = std::nullopt; + + // Using profile start time as the event generation timestamp + google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(start_time_); + + // Populate Ray event base fields + auto &ray_event = task_profile_Event.emplace(); + PopulateRpcRayEventBaseFields(ray_event, timestamp); + + // Populate the task profile event + auto *task_profile_events = ray_event.mutable_task_profile_events(); + task_profile_events->set_task_id(task_id_.Binary()); + task_profile_events->set_job_id(job_id_.Binary()); + task_profile_events->set_attempt_number(attempt_number_); + auto profile_events = task_profile_events->mutable_profile_events(); + profile_events->set_component_type(component_type_); + profile_events->set_component_id(component_id_); + profile_events->set_node_ip_address(node_ip_address_); + auto event_entry = profile_events->add_events(); + event_entry->set_event_name(event_name_); + event_entry->set_start_time(start_time_); + event_entry->set_end_time(end_time_); + event_entry->set_extra_data(std::move(extra_data_)); } bool TaskEventBufferImpl::RecordTaskStatusEventIfNeeded( @@ -590,14 +625,16 @@ TaskEventBufferImpl::CreateRayEventsDataToSend( auto data = std::make_unique(); // Move the ray events. for (auto &[task_attempt, ray_events_pair] : agg_task_events) { - auto &[task_definition_event_rpc, task_execution_event_rpc] = ray_events_pair; - if (task_definition_event_rpc) { + // For TaskStatusEvent: first = task definition event, second = task execution event + // For TaskProfileEvent: first = task profile event, second = nullopt (empty) + auto &[first_event, second_event] = ray_events_pair; + if (first_event) { auto events = data->add_events(); - *events = std::move(task_definition_event_rpc.value()); + *events = std::move(first_event.value()); } - if (task_execution_event_rpc) { + if (second_event) { auto events = data->add_events(); - *events = std::move(task_execution_event_rpc.value()); + *events = std::move(second_event.value()); } } diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 5d68e1dc50db..eaf6511b3b33 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -44,6 +44,8 @@ using TaskAttempt = std::pair; /// A pair of rpc::events::RayEvent. /// When converting the TaskStatusEvent, the pair will be populated with the /// rpc::events::TaskDefinitionEvent and rpc::events::TaskExecutionEvent respectively. +/// When converting the TaskProfileEvent, only the first element of the pair will be +/// populated with rpc::events::TaskProfileEvents using RayEventsPair = std::pair, std::optional>; @@ -213,13 +215,16 @@ class TaskProfileEvent : public TaskEvent { std::string component_id, std::string node_ip_address, std::string event_name, - int64_t start_time); + int64_t start_time, + std::string session_name); void ToRpcTaskEvents(rpc::TaskEvents *rpc_task_events) override; void ToRpcTaskExportEvents( std::shared_ptr rpc_task_export_event_data) override; + /// Note: The extra data will be moved when this is called and will no longer be usable. + /// Second element of the RayEventsPair will always be empty for TaskProfileEvent. void ToRpcRayEvents(RayEventsPair &ray_events) override; bool IsProfileEvent() const override { return true; } @@ -229,6 +234,9 @@ class TaskProfileEvent : public TaskEvent { void SetExtraData(const std::string &extra_data) { extra_data_ = extra_data; } private: + // Helper functions to populate the base fields of rpc::events::RayEvent + void PopulateRpcRayEventBaseFields(rpc::events::RayEvent &ray_event, + google::protobuf::Timestamp timestamp); /// The below fields mirror rpc::ProfileEvent std::string component_type_; std::string component_id_; @@ -237,6 +245,8 @@ class TaskProfileEvent : public TaskEvent { int64_t start_time_{}; int64_t end_time_{}; std::string extra_data_; + /// The current Ray session name. + std::string session_name_; }; /// @brief An enum class defining counters to be used in TaskEventBufferImpl. @@ -351,6 +361,9 @@ class TaskEventBuffer { /// Return a string that describes the task event buffer stats. virtual std::string DebugString() = 0; + + /// Return the current Ray session name. + virtual std::string GetSessionName() const = 0; }; /// Implementation of TaskEventBuffer. @@ -397,6 +410,8 @@ class TaskEventBufferImpl : public TaskEventBuffer { std::string DebugString() override; + std::string GetSessionName() const override { return session_name_; } + private: /// Add a task status event to be reported. /// @@ -591,6 +606,8 @@ class TaskEventBufferImpl : public TaskEventBuffer { FRIEND_TEST(TaskEventBufferTestLimitProfileEvents, TestBufferSizeLimitProfileEvents); FRIEND_TEST(TaskEventBufferTestLimitProfileEvents, TestLimitProfileEventsPerTask); FRIEND_TEST(TaskEventTestWriteExport, TestWriteTaskExportEvents); + FRIEND_TEST(TaskEventBufferTest, TestCreateRayEventsDataWithProfileEvents); + FRIEND_TEST(TaskEventBufferTest, TestMixedStatusAndProfileEventsToRayEvents); }; } // namespace worker diff --git a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc index 32752abc4ee3..4eff53179edf 100644 --- a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc +++ b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc @@ -83,6 +83,8 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { return true; } + std::string GetSessionName() const override { return "test-session-name"; } + std::vector> task_events; }; diff --git a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc index ee1d2bfa7d8b..647be3564063 100644 --- a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc @@ -120,6 +120,8 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { } std::string DebugString() override { return ""; } + + std::string GetSessionName() const override { return "test-session-name"; } }; class TaskReceiverTest : public ::testing::Test { diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index b57467f5e3d2..7616e6dac332 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -180,8 +180,15 @@ class TaskEventBufferTest : public ::testing::Test { } std::unique_ptr GenProfileTaskEvent(TaskID task_id, int32_t attempt_num) { - return std::make_unique( - task_id, JobID::FromInt(0), attempt_num, "", "", "", "test_event", 1); + return std::make_unique(task_id, + JobID::FromInt(0), + attempt_num, + "", + "", + "", + "test_event", + 1, + "test_session_name"); } static void CompareTaskEventData(const rpc::TaskEventData &actual_data, @@ -917,6 +924,197 @@ TEST_F(TaskEventBufferTest, TestGracefulDestruction) { delete task_event_buffer_.release(); } +TEST_F(TaskEventBufferTest, TestTaskProfileEventToRpcRayEvents) { + auto task_id = RandomTaskId(); + auto job_id = JobID::FromInt(123); + int32_t attempt_number = 1; + std::string component_type = "core_worker"; + std::string component_id = "worker_123"; + std::string node_ip = "192.168.1.1"; + std::string event_name = "test_profile_event"; + int64_t start_time = 1000; + + auto profile_event = std::make_unique(task_id, + job_id, + attempt_number, + component_type, + component_id, + node_ip, + event_name, + start_time, + "test_session_name"); + + // Set end time and extra data to test full population + profile_event->SetEndTime(2000); + profile_event->SetExtraData("test_extra_data"); + + RayEventsPair ray_events_pair; + profile_event->ToRpcRayEvents(ray_events_pair); + + auto &[first_event, second_event] = ray_events_pair; + + // Verify that the second event is nullopt (empty) + EXPECT_FALSE(second_event.has_value()) + << "TaskProfileEvent should set second element of RayEventsPair to nullopt"; + + // Verify that the first event contains the profile event + ASSERT_TRUE(first_event.has_value()) + << "TaskProfileEvent should populate first element of RayEventsPair"; + + const auto &ray_event = first_event.value(); + + // Verify base fields + EXPECT_EQ(ray_event.source_type(), rpc::events::RayEvent::CORE_WORKER); + EXPECT_EQ(ray_event.event_type(), rpc::events::RayEvent::TASK_PROFILE_EVENT); + EXPECT_EQ(ray_event.severity(), rpc::events::RayEvent::INFO); + EXPECT_FALSE(ray_event.event_id().empty()); + EXPECT_EQ(ray_event.session_name(), "test_session_name"); + + // Verify task profile events are populated + ASSERT_TRUE(ray_event.has_task_profile_events()); + const auto &task_profile_events = ray_event.task_profile_events(); + + EXPECT_EQ(task_profile_events.task_id(), task_id.Binary()); + EXPECT_EQ(task_profile_events.job_id(), job_id.Binary()); + EXPECT_EQ(task_profile_events.attempt_number(), attempt_number); + + // Verify profile event + ASSERT_TRUE(task_profile_events.has_profile_events()); + const auto &profile_events = task_profile_events.profile_events(); + + EXPECT_EQ(profile_events.component_type(), component_type); + EXPECT_EQ(profile_events.component_id(), component_id); + EXPECT_EQ(profile_events.node_ip_address(), node_ip); + + // Verify event entry + ASSERT_EQ(profile_events.events_size(), 1); + const auto &event_entry = profile_events.events(0); + + EXPECT_EQ(event_entry.event_name(), event_name); + EXPECT_EQ(event_entry.start_time(), start_time); + EXPECT_EQ(event_entry.end_time(), 2000); + EXPECT_EQ(event_entry.extra_data(), "test_extra_data"); +} + +TEST_F(TaskEventBufferTest, TestCreateRayEventsDataWithProfileEvents) { + // Test that CreateRayEventsDataToSend correctly handles profile events + // by only including the first element of RayEventsPair + + auto task_id = RandomTaskId(); + auto job_id = JobID::FromInt(456); + int32_t attempt_number = 2; + + // Create a profile event + auto profile_event = std::make_unique(task_id, + job_id, + attempt_number, + "core_worker", + "worker_456", + "192.168.1.2", + "profile_test", + 5000, + "test_session_name"); + profile_event->SetEndTime(6000); + + absl::flat_hash_map agg_ray_events; + TaskAttempt task_attempt = std::make_pair(task_id, attempt_number); + + // Populate the ray events pair + RayEventsPair ray_events_pair; + profile_event->ToRpcRayEvents(ray_events_pair); + agg_ray_events[task_attempt] = std::move(ray_events_pair); + + // Create the data using the real implementation + absl::flat_hash_set dropped_task_attempts; + auto ray_events_data = task_event_buffer_->CreateRayEventsDataToSend( + std::move(agg_ray_events), dropped_task_attempts); + + // Verify that exactly one event was added (only the profile event, not the nullopt + // second) + ASSERT_EQ(ray_events_data->events_size(), 1); + + const auto &event = ray_events_data->events(0); + EXPECT_EQ(event.event_type(), rpc::events::RayEvent::TASK_PROFILE_EVENT); + EXPECT_EQ(event.session_name(), "test_session_name"); + EXPECT_TRUE(event.has_task_profile_events()); + + const auto &task_profile_events = event.task_profile_events(); + EXPECT_EQ(task_profile_events.task_id(), task_id.Binary()); + EXPECT_EQ(task_profile_events.job_id(), job_id.Binary()); + EXPECT_EQ(task_profile_events.attempt_number(), attempt_number); +} + +TEST_F(TaskEventBufferTest, TestMixedStatusAndProfileEventsToRayEvents) { + // Test that a mix of status events and profile events are correctly handled + auto task_id1 = RandomTaskId(); + auto task_id2 = RandomTaskId(); + auto job_id = JobID::FromInt(789); + + // Create a status event (should populate both elements of RayEventsPair) + auto status_event = GenStatusTaskEvent(task_id1, 1, 1000); + + // Create a profile event (should populate only first element) + auto profile_event = std::make_unique(task_id2, + job_id, + 1, + "core_worker", + "worker_789", + "192.168.1.3", + "mixed_test", + 7000, + "test_session_name"); + + // Create aggregated events + absl::flat_hash_map agg_ray_events; + + // Add status event + RayEventsPair status_ray_events_pair; + status_event->ToRpcRayEvents(status_ray_events_pair); + agg_ray_events[std::make_pair(task_id1, 1)] = std::move(status_ray_events_pair); + + // Add profile event + RayEventsPair profile_ray_events_pair; + profile_event->ToRpcRayEvents(profile_ray_events_pair); + agg_ray_events[std::make_pair(task_id2, 1)] = std::move(profile_ray_events_pair); + + // Create the data + absl::flat_hash_set dropped_task_attempts; + auto ray_events_data = task_event_buffer_->CreateRayEventsDataToSend( + std::move(agg_ray_events), dropped_task_attempts); + + // Should have 2 events: 1 from status event (execution only since no task_spec) + 1 + // from profile event + ASSERT_EQ(ray_events_data->events_size(), 2); + + // Count event types + int task_definition_events = 0; + int task_execution_events = 0; + int task_profile_events = 0; + + for (const auto &event : ray_events_data->events()) { + switch (event.event_type()) { + case rpc::events::RayEvent::TASK_DEFINITION_EVENT: + task_definition_events++; + break; + case rpc::events::RayEvent::TASK_EXECUTION_EVENT: + task_execution_events++; + break; + case rpc::events::RayEvent::TASK_PROFILE_EVENT: + task_profile_events++; + break; + default: + FAIL() << "Unexpected event type: " << event.event_type(); + } + } + + EXPECT_EQ(task_definition_events, 0) + << "Should have 0 task definition events since GenStatusTaskEvent has no task_spec"; + EXPECT_EQ(task_execution_events, 1) + << "Should have 1 task execution event from status event"; + EXPECT_EQ(task_profile_events, 1) + << "Should have 1 task profile event from profile event"; +} + INSTANTIATE_TEST_SUITE_P(TaskEventBufferTest, TaskEventBufferTestDifferentDestination, ::testing::Values(DifferentDestination{true, true}, diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index 3830d9821474..826f4d3511c4 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -132,6 +132,8 @@ class MockTaskEventBuffer : public worker::TaskEventBuffer { bool include_task_info, std::optional state_update), (override)); + + MOCK_METHOD(std::string, GetSessionName, (), (const, override)); }; class TaskManagerTest : public ::testing::Test { From 362e342184be3e10a0590073ca83e917a8a601f9 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 18 Aug 2025 11:28:28 -0700 Subject: [PATCH 0747/1566] [wheel] when `RAY_DISABLE_EXTRA_CPP=1`, do not build cpp stuff (#55697) this gives us a way to safely skip the ray-cpp building parts when building ray wheel. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/setup.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/setup.py b/python/setup.py index 82a08fda81f3..8918efef130b 100644 --- a/python/setup.py +++ b/python/setup.py @@ -29,6 +29,7 @@ ROOT_DIR = os.path.dirname(__file__) BUILD_JAVA = os.getenv("RAY_INSTALL_JAVA") == "1" +BUILD_CPP = os.getenv("RAY_DISABLE_EXTRA_CPP") != "1" SKIP_BAZEL_BUILD = os.getenv("SKIP_BAZEL_BUILD") == "1" BAZEL_ARGS = os.getenv("BAZEL_ARGS") BAZEL_LIMIT_CPUS = os.getenv("BAZEL_LIMIT_CPUS") @@ -130,7 +131,7 @@ def get_packages(self): ) RAY_EXTRA_CPP = True # Disable extra cpp for the development versions. - if "dev" in setup_spec.version or os.getenv("RAY_DISABLE_EXTRA_CPP") == "1": + if "dev" in setup_spec.version or not BUILD_CPP: RAY_EXTRA_CPP = False # Ideally, we could include these files by putting them in a @@ -710,7 +711,7 @@ def pip_run(build_ext): if SKIP_BAZEL_BUILD: build(False, False, False) else: - build(True, BUILD_JAVA, True) + build(True, BUILD_JAVA, BUILD_CPP) if setup_spec.type == SetupType.RAY: setup_spec.files_to_include += ray_files From 1e98036092b43f477996e5d0d0116f95cd7487a8 Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 19 Aug 2025 02:46:17 +0800 Subject: [PATCH 0748/1566] [Data]Fix sort_benchmark url not found error (#55692) The url is invalid as we changed the name for `sort.py` in https://github.com/ray-project/ray/pull/49017 --------- Signed-off-by: Potato Signed-off-by: Douglas Strodtman --- doc/source/data/shuffling-data.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/data/shuffling-data.rst b/doc/source/data/shuffling-data.rst index a146370aeb09..11f720ec8f7e 100644 --- a/doc/source/data/shuffling-data.rst +++ b/doc/source/data/shuffling-data.rst @@ -189,8 +189,8 @@ To try out push-based shuffle, set the environment variable ``RAY_DATA_PUSH_BASE .. code-block:: bash - $ wget https://raw.githubusercontent.com/ray-project/ray/master/release/nightly_tests/dataset/sort.py - $ RAY_DATA_PUSH_BASED_SHUFFLE=1 python sort.py --num-partitions=10 --partition-size=1e7 + $ wget https://raw.githubusercontent.com/ray-project/ray/master/release/nightly_tests/dataset/sort_benchmark.py + $ RAY_DATA_PUSH_BASED_SHUFFLE=1 python sort_benchmark.py --num-partitions=10 --partition-size=1e7 # Dataset size: 10 partitions, 0.01GB partition size, 0.1GB total # [dataset]: Run `pip install tqdm` to enable progress reporting. From 4a2bb76c2eaad830ef09f779c6495b96beb62c0c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 18 Aug 2025 13:53:47 -0500 Subject: [PATCH 0749/1566] [ci] Add ability for users to include `.user.bazelrc` file (#55698) I wanted a way to turn on `--incompatible_strict_action_env` by default without having an untracked change in my `.bazelrc` constantly and without needing to pass the `--config` flag all the time. This PR allows users to define a `.user.bazelrc` file for such changes. For example, to turn on `--incompatible_strict_action_env` by default, I've added this file: ``` build --config=strict test --config=strict ``` Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .bazelrc | 8 +++++++- .gitignore | 1 + 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/.bazelrc b/.bazelrc index 8c2be7ea8586..5e4727932249 100644 --- a/.bazelrc +++ b/.bazelrc @@ -4,7 +4,10 @@ build --enable_platform_specific_config build:linux --workspace_status_command="bash ./bazel/workspace_status.sh" # Provides users an option to turn on strict action env. -# TODO(aslonnie): make this default; fix the python tests.. +# TODO(aslonnie): make this default, fix the python tests. +# NOTE(edoakes): enable this by default locally by adding a .user.bazelrc file with: +# build --config=strict +# test --config=strict build:strict --incompatible_strict_action_env # To distinguish different incompatible environments. @@ -220,6 +223,9 @@ build:cgroup --sandbox_writable_path=/sys/fs/cgroup --config=llvm # ci/env/install-llvm-dependencies.sh try-import %workspace%/.llvm-local.bazelrc +# Allow users to define custom options. +try-import %workspace%/.user.bazelrc + # Even with sandbox mode bazel prioritizes system headers over the ones in the sandbox. # It picks up the system headers when someone has protobuf installed via Homebrew. # Work around for https://github.com/bazelbuild/bazel/issues/8053 diff --git a/.gitignore b/.gitignore index ae8dd2240350..e33fde76315d 100644 --- a/.gitignore +++ b/.gitignore @@ -126,6 +126,7 @@ scripts/nodes.txt .idea/**/tasks.xml .idea/dictionaries .llvm-local.bazelrc +.user.bazelrc .aider* # Sensitive or high-churn files: From 5cd5ba3d814ad9a8ef2e5fb5dabf2ce3f0649588 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Tue, 19 Aug 2025 00:34:29 +0530 Subject: [PATCH 0750/1566] [core] Call `__ray_shutdown__` method during actor graceful shutdown (#54584) ## Why are these changes needed? This PR introduces a new `__ray_shutdown__ ` method mechanism for Ray actors to perform deterministic resource cleanup before actor termination. This addresses issue #53169 by providing a reliable alternative to `__del__` methods for critical cleanup operations. The new `__ray_shutdown__ ` method can be explicitly overriden and provides: - Deterministic execution: Called explicitly by Ray during actor shutdown. - Reliable timing: Executes at the exact right moment before process termination. - Optionality: Actors without the method continue to work normally. Main changes: 1. `core_worker.cc` - Add cleanup call in Shutdown() 2. `_raylet.pyx` - Add callback registration 3. `worker.py` - Register callback when actor is created ## Related issue number Closes #53169 --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 34 +++++ python/ray/includes/libcoreworker.pxd | 1 + python/ray/tests/test_actor_failures.py | 153 ++++++++++++++++++++++ src/ray/core_worker/core_worker.cc | 7 + src/ray/core_worker/core_worker.h | 3 + src/ray/core_worker/core_worker_options.h | 3 + 6 files changed, 201 insertions(+) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index ee02c709fafa..fa06590fd21e 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2200,6 +2200,7 @@ cdef execute_task_with_cancellation_handler( actor_id = core_worker.get_actor_id() actor = actor_class.__new__(actor_class) worker.actors[actor_id] = actor + # Record the actor class via :actor_name: magic token in the log. # # (Phase 1): this covers code run before __init__ finishes. @@ -2744,6 +2745,38 @@ cdef void terminate_asyncio_thread() nogil: core_worker = ray._private.worker.global_worker.core_worker core_worker.stop_and_join_asyncio_threads_if_exist() + +cdef void call_actor_shutdown() noexcept nogil: + """C++ wrapper function that calls the Python actor shutdown callback.""" + with gil: + _call_actor_shutdown() + + +def _call_actor_shutdown(): + """Internal function that calls actor's __ray_shutdown__ method.""" + try: + worker = ray._private.worker.global_worker + + if not worker.actors: + return + + actor_id, actor_instance = next(iter(worker.actors.items())) + if actor_instance is not None: + # Only call __ray_shutdown__ if the method exists and is callable + # This preserves backward compatibility: actors without __ray_shutdown__ + # use Python's normal exit flow (including atexit handlers) + if hasattr(actor_instance, '__ray_shutdown__') and callable(getattr(actor_instance, '__ray_shutdown__')): + try: + actor_instance.__ray_shutdown__() + except Exception: + logger.exception("Error during actor __ray_shutdown__ method") + # Always clean up the actor instance + worker.actors.pop(actor_id, None) + except Exception: + # Catch any system-level exceptions to prevent propagation to C++ + logger.exception("System error during actor shutdown callback") + + cdef class StreamRedirector: @staticmethod def redirect_stdout(const c_string &file_path, uint64_t rotation_max_size, uint64_t rotation_max_file_count, c_bool tee_to_stdout, c_bool tee_to_stderr): @@ -3030,6 +3063,7 @@ cdef class CoreWorker: options.is_local_mode = local_mode options.kill_main = kill_main_task options.terminate_asyncio_thread = terminate_asyncio_thread + options.actor_shutdown_callback = call_actor_shutdown options.serialized_job_config = serialized_job_config options.metrics_agent_port = metrics_agent_port options.runtime_env_hash = runtime_env_hash diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 88f7252a3a8a..5402a7e2f48d 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -422,6 +422,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: const c_vector[c_string]&) nogil) run_on_util_worker_handler (void(const CRayObject&) nogil) unhandled_exception_handler (c_bool(const CTaskID &c_task_id) nogil) cancel_async_actor_task + (void() noexcept nogil) actor_shutdown_callback (void(c_string *stack_out) nogil) get_lang_stack c_bool is_local_mode int num_workers diff --git a/python/ray/tests/test_actor_failures.py b/python/ray/tests/test_actor_failures.py index 5043784d3b34..6397b1b48b9c 100644 --- a/python/ray/tests/test_actor_failures.py +++ b/python/ray/tests/test_actor_failures.py @@ -4,7 +4,9 @@ import os import signal import sys +import tempfile import time +from typing import Callable, Generator import pytest import numpy as np @@ -29,6 +31,32 @@ def ray_init_with_task_retry_delay(): ray.shutdown() +@pytest.fixture +def tempfile_factory() -> Generator[Callable[[], str], None, None]: + """Yields a factory function to generate tempfiles that will be deleted after the test run.""" + files = [] + + def create_temp_file(): + temp_file = tempfile.NamedTemporaryFile(delete=False) + temp_file.close() + files.append(temp_file.name) + return temp_file.name + + yield create_temp_file + + # Cleanup all created files + for file_path in files: + try: + os.unlink(file_path) + except Exception: + pass + + +def check_file_exists_and_not_empty(file_path): + """Helper to check if file exists and has content.""" + return os.path.exists(file_path) and os.path.getsize(file_path) > 0 + + @pytest.mark.parametrize( "ray_start_regular", [ @@ -1248,5 +1276,130 @@ def get_pid(self): assert ray.get(refs) == [3, 4, 5] +def test_actor_user_shutdown_method(ray_start_regular_shared, tempfile_factory): + """Test that __ray_shutdown__ method is called during actor termination.""" + shutdown_file = tempfile_factory() + + @ray.remote + class UserShutdownActor: + def __init__(self): + pass + + def __ray_shutdown__(self): + with open(shutdown_file, "w") as f: + f.write("ray_shutdown_called") + f.flush() + + def get_ready(self): + return "ready" + + actor = UserShutdownActor.remote() + ray.get(actor.get_ready.remote()) + actor.__ray_terminate__.remote() + + wait_for_condition(lambda: check_file_exists_and_not_empty(shutdown_file)) + + with open(shutdown_file, "r") as f: + assert f.read() == "ray_shutdown_called" + + +def test_actor_ray_shutdown_handles_exceptions( + ray_start_regular_shared, tempfile_factory +): + """Test that Ray handles unhandled exceptions in __ray_shutdown__ gracefully.""" + shutdown_file = tempfile_factory() + + @ray.remote + class ExceptionActor: + def __ray_shutdown__(self): + # Write to file before raising exception + with open(shutdown_file, "w") as f: + f.write("cleanup_started") + f.flush() + + # Let exception propagate to Ray's machinery + raise ValueError("Unhandled exception in __ray_shutdown__") + + def get_ready(self): + return "ready" + + actor = ExceptionActor.remote() + ray.get(actor.get_ready.remote()) + actor.__ray_terminate__.remote() + + # Verify that despite the exception: + # 1. File was written (cleanup started) + # 2. Actor shuts down properly (no system crash) + wait_for_condition(lambda: check_file_exists_and_not_empty(shutdown_file)) + + with open(shutdown_file, "r") as f: + assert f.read() == "cleanup_started" + + +def test_actor_atexit_handler_dont_conflict_with_ray_shutdown( + ray_start_regular_shared, tempfile_factory +): + """Test that atexit handler methods don't conflict with __ray_shutdown__ and both run.""" + shutdown_file = tempfile_factory() + atexit_file = tempfile_factory() + + @ray.remote + class CleanupActor: + def __init__(self): + atexit.register(self.cleanup) + + def __ray_shutdown__(self): + with open(shutdown_file, "w") as f: + f.write("ray_shutdown_called") + f.flush() + + def cleanup(self): + with open(atexit_file, "w") as f: + f.write("atexit_cleanup_called") + f.flush() + + def get_ready(self): + return "ready" + + actor = CleanupActor.remote() + ray.get(actor.get_ready.remote()) + actor.__ray_terminate__.remote() + + wait_for_condition(lambda: check_file_exists_and_not_empty(shutdown_file)) + + with open(shutdown_file, "r") as f: + assert f.read() == "ray_shutdown_called" + wait_for_condition(lambda: check_file_exists_and_not_empty(atexit_file)) + with open(atexit_file, "r") as f: + assert f.read() == "atexit_cleanup_called" + + +def test_actor_ray_shutdown_dont_interfere_with_kill( + ray_start_regular_shared, tempfile_factory +): + """Test __ray_shutdown__ is not called when actor is killed with ray.kill().""" + shutdown_file = tempfile_factory() + + @ray.remote + class KillableActor: + def __ray_shutdown__(self): + with open(shutdown_file, "w") as f: + f.write("shutdown_called_kill") + f.flush() + + def get_ready(self): + return "ready" + + def sleep_forever(self): + time.sleep(3600) + + actor = KillableActor.remote() + ray.get(actor.get_ready.remote()) + _ = actor.sleep_forever.remote() + ray.kill(actor) + + wait_for_condition(lambda: not check_file_exists_and_not_empty(shutdown_file)) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 53288a3c45d9..83ac7000178b 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -334,6 +334,7 @@ CoreWorker::CoreWorker( max_direct_call_object_size_(RayConfig::instance().max_direct_call_object_size()), task_event_buffer_(std::move(task_event_buffer)), pid_(pid), + actor_shutdown_callback_(std::move(options_.actor_shutdown_callback)), runtime_env_json_serialization_cache_(kDefaultSerializationCacheCap) { // Initialize task receivers. if (options_.worker_type == WorkerType::WORKER || options_.is_local_mode) { @@ -499,6 +500,12 @@ void CoreWorker::Shutdown() { RAY_LOG(INFO) << "Shutdown was called more than once, ignoring."; return; } + + // For actors, perform cleanup before shutdown proceeds. + if (!GetWorkerContext().GetCurrentActorID().IsNil() && actor_shutdown_callback_) { + RAY_LOG(INFO) << "Calling actor shutdown callback before shutdown"; + actor_shutdown_callback_(); + } RAY_LOG(INFO) << "Shutting down."; if (options_.worker_type == WorkerType::WORKER) { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 2299894a3956..3380aa0e489e 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1900,6 +1900,9 @@ class CoreWorker { /// Worker's PID uint32_t pid_; + /// Callback to cleanup actor instance before shutdown + std::function actor_shutdown_callback_; + // Guards generator_ids_pending_deletion_. absl::Mutex generator_ids_pending_deletion_mutex_; diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 4eee61e4d75a..5e139e9758e6 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -96,6 +96,7 @@ struct CoreWorkerOptions { get_lang_stack(nullptr), kill_main(nullptr), cancel_async_actor_task(nullptr), + actor_shutdown_callback(nullptr), is_local_mode(false), terminate_asyncio_thread(nullptr), serialized_job_config(""), @@ -174,6 +175,8 @@ struct CoreWorkerOptions { // Should return a boolean indicating if the task was successfully cancelled or not. // If not, the client will retry. std::function cancel_async_actor_task; + /// Callback to shutdown actor instance before shutdown. + std::function actor_shutdown_callback; /// Is local mode being used. bool is_local_mode; /// The function to destroy asyncio event and loops. From cbf7184c86408f3c845007c34abdb510e47a0a3c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 18 Aug 2025 12:33:07 -0700 Subject: [PATCH 0751/1566] [ci] release test: use rayci build id for image tags (#55619) rather than using commit based tags. this avoids runs across different runs on the same commit to crosstalk to each other. --------- Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/ray_release/scripts/build_pipeline.py | 9 +++- release/ray_release/test.py | 22 ++------ release/ray_release/tests/test_byod_build.py | 26 ++++++---- release/ray_release/tests/test_test.py | 50 ++++++++++++------- 4 files changed, 59 insertions(+), 48 deletions(-) diff --git a/release/ray_release/scripts/build_pipeline.py b/release/ray_release/scripts/build_pipeline.py index 9b6ff71adc1f..5c6cc5b5998f 100644 --- a/release/ray_release/scripts/build_pipeline.py +++ b/release/ray_release/scripts/build_pipeline.py @@ -21,7 +21,6 @@ from ray_release.configs.global_config import init_global_config from ray_release.exception import ReleaseTestCLIError, ReleaseTestConfigError from ray_release.logger import logger -from ray_release.wheels import get_buildkite_repo_branch PIPELINE_ARTIFACT_PATH = "/tmp/pipeline_artifacts" @@ -150,10 +149,16 @@ def main( if no_concurrency_limit: logger.warning("Concurrency is not limited for this run!") - _, buildkite_branch = get_buildkite_repo_branch() if os.environ.get("REPORT_TO_RAY_TEST_DB", False): env["REPORT_TO_RAY_TEST_DB"] = "1" + # Pipe through RAYCI_BUILD_ID from the forge step. + # TODO(khluu): convert the steps to rayci steps and stop passing through + # RAYCI_BUILD_ID. + build_id = os.environ.get("RAYCI_BUILD_ID") + if build_id: + env["RAYCI_BUILD_ID"] = build_id + steps = get_step_for_test_group( grouped_tests, minimum_run_per_test=run_per_test, diff --git a/release/ray_release/test.py b/release/ray_release/test.py index 03ee427338f5..c912a7b00bdb 100644 --- a/release/ray_release/test.py +++ b/release/ray_release/test.py @@ -541,23 +541,11 @@ def get_byod_base_image_tag(self) -> str: # TODO(can): this is a temporary backdoor that should be removed # once civ2 is fully rolled out. return byod_image_tag - commit = os.environ.get( - "COMMIT_TO_TEST", - os.environ["BUILDKITE_COMMIT"], - ) - branch = os.environ.get( - "BRANCH_TO_TEST", - os.environ["BUILDKITE_BRANCH"], - ) - pr = os.environ.get("BUILDKITE_PULL_REQUEST", "false") - ray_version = commit[:6] - if pr != "false": - ray_version = f"pr-{pr}.{ray_version}" - elif branch.startswith("releases/"): - release_name = branch[len("releases/") :] - ray_version = f"{release_name}.{ray_version}" - python_version = f"py{self.get_python_version().replace('.', '')}" - return f"{ray_version}-{python_version}-{self.get_tag_suffix()}" + build_id = os.environ.get("RAYCI_BUILD_ID", "") + if not build_id: + raise ValueError("RAYCI_BUILD_ID is not set") + python_version = "py" + self.get_python_version().replace(".", "") + return f"{build_id}-{python_version}-{self.get_tag_suffix()}" def get_byod_image_tag(self) -> str: """ diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 920b2c826e36..8548a309632f 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -59,7 +59,10 @@ def _mock_check_call( with patch("ray_release.byod.build._image_exist", return_value=False), patch.dict( "os.environ", - {"BUILDKITE_COMMIT": "abc123", "BUILDKITE_BRANCH": "master"}, + { + "BUILDKITE_COMMIT": "abc123", + "RAYCI_BUILD_ID": "a1b2c3d4", + }, ), patch("subprocess.check_call", side_effect=_mock_check_call,), patch( "subprocess.check_output", return_value=b"abc123", @@ -74,8 +77,8 @@ def _mock_check_call( test.get_byod_post_build_script(), ) assert "docker build --build-arg BASE_IMAGE=029272617770.dkr.ecr.us-west-2." - "amazonaws.com/anyscale/ray:abc123-py37 -t 029272617770.dkr.ecr.us-west-2." - "amazonaws.com/anyscale/ray:abc123-py37-c3fc5fc6d84cea4d7ab885c6cdc966542e" + "amazonaws.com/anyscale/ray:a1b2c3d4-py37 -t 029272617770.dkr.ecr.us-west-2." + "amazonaws.com/anyscale/ray:a1b2c3d4-py37-c3fc5fc6d84cea4d7ab885c6cdc966542e" "f59e4c679b8c970f2f77b956bfd8fb" in " ".join(cmds[0]) @@ -92,7 +95,10 @@ def _mock_image_exist(image: str) -> bool: "ray_release.byod.build._download_dataplane_build_file", return_value=None ), patch( "os.environ", - {"BUILDKITE_COMMIT": "abc123", "BUILDKITE_BRANCH": "master"}, + { + "BUILDKITE_COMMIT": "abc123", + "RAYCI_BUILD_ID": "a1b2c3d4", + }, ), patch( "subprocess.check_call", return_value=None ), patch( @@ -127,12 +133,12 @@ def _mock_image_exist(image: str) -> bool: aws_cr = global_config["byod_aws_cr"] gcp_cr = global_config["byod_gcp_cr"] assert images == [ - f"{aws_cr}/anyscale/ray:abc123-py39-cpu", - f"{aws_cr}/anyscale/ray-ml:abc123-py39-gpu", - f"{aws_cr}/anyscale/ray:abc123-py39-cu121", - f"{aws_cr}/anyscale/ray:abc123-py39-cu116", - f"{aws_cr}/anyscale/ray:abc123-py311-cu118", - f"{gcp_cr}/anyscale/ray:abc123-py39-cpu", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cpu", + f"{aws_cr}/anyscale/ray-ml:a1b2c3d4-py39-gpu", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cu121", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cu116", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py311-cu118", + f"{gcp_cr}/anyscale/ray:a1b2c3d4-py39-cpu", ] diff --git a/release/ray_release/tests/test_test.py b/release/ray_release/tests/test_test.py index e4899de2ebb7..513eba2a9878 100644 --- a/release/ray_release/tests/test_test.py +++ b/release/ray_release/tests/test_test.py @@ -90,8 +90,9 @@ def test_get_python_version(): def test_get_ray_image(): - os.environ["BUILDKITE_BRANCH"] = "master" - os.environ["BUILDKITE_COMMIT"] = "1234567890" + os.environ["RAYCI_BUILD_ID"] = "a1b2c3d4" + + # These images are NOT saved on Docker Hub, but on private ECR. assert ( _stub_test( { @@ -99,7 +100,7 @@ def test_get_ray_image(): "cluster": {"byod": {}}, } ).get_ray_image() - == "rayproject/ray:123456-py39-cpu" + == "rayproject/ray:a1b2c3d4-py39-cpu" ) assert ( _stub_test( @@ -112,7 +113,7 @@ def test_get_ray_image(): }, } ).get_ray_image() - == "rayproject/ray-ml:123456-py39-gpu" + == "rayproject/ray-ml:a1b2c3d4-py39-gpu" ) assert ( _stub_test( @@ -125,23 +126,34 @@ def test_get_ray_image(): }, } ).get_ray_image() - == "rayproject/ray-llm:123456-py311-cu124" - ) - os.environ["BUILDKITE_BRANCH"] = "releases/1.0.0" - assert ( - _stub_test({"cluster": {"byod": {}}}).get_ray_image() - == "rayproject/ray:1.0.0.123456-py39-cpu" + == "rayproject/ray-llm:a1b2c3d4-py311-cu124" ) - with mock.patch.dict(os.environ, {"BUILDKITE_PULL_REQUEST": "123"}): + + # When RAY_IMAGE_TAG is set, we use the RAYCI_BUILD_ID. + with mock.patch.dict(os.environ, {"RAY_IMAGE_TAG": "my_tag"}): assert ( _stub_test({"cluster": {"byod": {}}}).get_ray_image() - == "rayproject/ray:pr-123.123456-py39-cpu" + == "rayproject/ray:my_tag" ) - with mock.patch.dict(os.environ, {"RAY_IMAGE_TAG": "my_tag"}): + + with mock.patch.dict(os.environ, {"BUILDKITE_BRANCH": "releases/1.0.0"}): + # Even on release branches, we also use the RAYCI_BUILD_ID. assert ( _stub_test({"cluster": {"byod": {}}}).get_ray_image() - == "rayproject/ray:my_tag" + == "rayproject/ray:a1b2c3d4-py39-cpu" ) + with mock.patch.dict(os.environ, {"BUILDKITE_PULL_REQUEST": "123"}): + assert ( + _stub_test({"cluster": {"byod": {}}}).get_ray_image() + == "rayproject/ray:a1b2c3d4-py39-cpu" + ) + + # Unless RAY_IMAGE_TAG is set, we use the RAYCI_BUILD_ID. + with mock.patch.dict(os.environ, {"RAY_IMAGE_TAG": "my_tag"}): + assert ( + _stub_test({"cluster": {"byod": {}}}).get_ray_image() + == "rayproject/ray:my_tag" + ) def test_get_byod_runtime_env(): @@ -161,11 +173,10 @@ def test_get_byod_runtime_env(): def test_get_anyscale_byod_image(): - os.environ["BUILDKITE_BRANCH"] = "master" - os.environ["BUILDKITE_COMMIT"] = "1234567890" + os.environ["RAYCI_BUILD_ID"] = "a1b2c3d4" assert ( _stub_test({"python": "3.7", "cluster": {"byod": {}}}).get_anyscale_byod_image() - == f"{get_global_config()['byod_ecr']}/{DATAPLANE_ECR_REPO}:123456-py37-cpu" + == f"{get_global_config()['byod_ecr']}/{DATAPLANE_ECR_REPO}:a1b2c3d4-py37-cpu" ) assert _stub_test( { @@ -177,7 +188,8 @@ def test_get_anyscale_byod_image(): }, } ).get_anyscale_byod_image() == ( - f"{get_global_config()['byod_ecr']}/" f"{DATAPLANE_ECR_ML_REPO}:123456-py38-gpu" + f"{get_global_config()['byod_ecr']}/" + f"{DATAPLANE_ECR_ML_REPO}:a1b2c3d4-py38-gpu" ) assert _stub_test( { @@ -191,7 +203,7 @@ def test_get_anyscale_byod_image(): } ).get_anyscale_byod_image() == ( f"{get_global_config()['byod_ecr']}" - f"/{DATAPLANE_ECR_ML_REPO}:123456-py38-gpu-" + f"/{DATAPLANE_ECR_ML_REPO}:a1b2c3d4-py38-gpu-" "ab7ed2b7a7e8d3f855a7925b0d296b0f9c75fac91882aba47854d92d27e13e53" ) From 5b5598d506cec27369ae7e0be105fca40061b0d3 Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Mon, 18 Aug 2025 22:40:55 +0200 Subject: [PATCH 0752/1566] [RLlib] Fix MetricsLogger/Stats throughput bugs. (#55696) Signed-off-by: Douglas Strodtman --- rllib/env/__init__.py | 2 - rllib/env/policy_server_input.py | 270 ------------------ .../ppo/multi_agent_cartpole_ppo.py | 2 +- rllib/utils/metrics/metrics_logger.py | 1 - rllib/utils/metrics/stats.py | 114 +++++--- .../metrics/tests/test_metrics_logger.py | 78 ++++- 6 files changed, 145 insertions(+), 322 deletions(-) delete mode 100644 rllib/env/policy_server_input.py diff --git a/rllib/env/__init__.py b/rllib/env/__init__.py index 2e48374d784c..ca9de7949565 100644 --- a/rllib/env/__init__.py +++ b/rllib/env/__init__.py @@ -4,7 +4,6 @@ from ray.rllib.env.external_multi_agent_env import ExternalMultiAgentEnv from ray.rllib.env.multi_agent_env import MultiAgentEnv from ray.rllib.env.policy_client import PolicyClient -from ray.rllib.env.policy_server_input import PolicyServerInput from ray.rllib.env.remote_base_env import RemoteBaseEnv from ray.rllib.env.vector_env import VectorEnv @@ -31,7 +30,6 @@ "PettingZooEnv", "ParallelPettingZooEnv", "PolicyClient", - "PolicyServerInput", "RemoteBaseEnv", "Unity3DEnv", "VectorEnv", diff --git a/rllib/env/policy_server_input.py b/rllib/env/policy_server_input.py deleted file mode 100644 index 48598a51d9eb..000000000000 --- a/rllib/env/policy_server_input.py +++ /dev/null @@ -1,270 +0,0 @@ -from collections import deque -from http.server import HTTPServer, SimpleHTTPRequestHandler -import logging -import queue -from socketserver import ThreadingMixIn -import threading -import time -import traceback - -from typing import List -import ray.cloudpickle as pickle -from ray.rllib.env.policy_client import ( - _create_embedded_rollout_worker, - Commands, -) -from ray.rllib.offline.input_reader import InputReader -from ray.rllib.offline.io_context import IOContext -from ray.rllib.policy.sample_batch import SampleBatch -from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.evaluation.metrics import RolloutMetrics -from ray.rllib.evaluation.sampler import SamplerInput -from ray.rllib.utils.typing import SampleBatchType -from ray._common.network_utils import build_address - -logger = logging.getLogger(__name__) - - -@OldAPIStack -class PolicyServerInput(ThreadingMixIn, HTTPServer, InputReader): - def __init__( - self, - ioctx: IOContext, - address: str, - port: int, - idle_timeout: float = 3.0, - max_sample_queue_size: int = 20, - ): - self.rollout_worker = ioctx.worker - # Protect ourselves from having a bottleneck on the server (learning) side. - # Once the queue (deque) is full, we throw away 50% (oldest - # samples first) of the samples, warn, and continue. - self.samples_queue = deque(maxlen=max_sample_queue_size) - self.metrics_queue = queue.Queue() - self.idle_timeout = idle_timeout - - # Forwards client-reported metrics directly into the local rollout - # worker. - if self.rollout_worker.sampler is not None: - # This is a bit of a hack since it is patching the get_metrics - # function of the sampler. - - def get_metrics(): - completed = [] - while True: - try: - completed.append(self.metrics_queue.get_nowait()) - except queue.Empty: - break - - return completed - - self.rollout_worker.sampler.get_metrics = get_metrics - else: - # If there is no sampler, act like if there would be one to collect - # metrics from - class MetricsDummySampler(SamplerInput): - """This sampler only maintains a queue to get metrics from.""" - - def __init__(self, metrics_queue): - """Initializes a MetricsDummySampler instance. - - Args: - metrics_queue: A queue of metrics - """ - self.metrics_queue = metrics_queue - - def get_data(self) -> SampleBatchType: - raise NotImplementedError - - def get_extra_batches(self) -> List[SampleBatchType]: - raise NotImplementedError - - def get_metrics(self) -> List[RolloutMetrics]: - """Returns metrics computed on a policy client rollout worker.""" - completed = [] - while True: - try: - completed.append(self.metrics_queue.get_nowait()) - except queue.Empty: - break - return completed - - self.rollout_worker.sampler = MetricsDummySampler(self.metrics_queue) - - # Create a request handler that receives commands from the clients - # and sends data and metrics into the queues. - handler = _make_handler( - self.rollout_worker, self.samples_queue, self.metrics_queue - ) - try: - import time - - time.sleep(1) - HTTPServer.__init__(self, (address, port), handler) - except OSError: - print(f"Creating a PolicyServer on {build_address(address, port)} failed!") - import time - - time.sleep(1) - raise - - logger.info( - "Starting connector server at " - f"{build_address(self.server_name, self.server_port)}" - ) - - # Start the serving thread, listening on socket and handling commands. - serving_thread = threading.Thread(name="server", target=self.serve_forever) - serving_thread.daemon = True - serving_thread.start() - - # Start a dummy thread that puts empty SampleBatches on the queue, just - # in case we don't receive anything from clients (or there aren't - # any). The latter would block sample collection entirely otherwise, - # even if other workers' PolicyServerInput receive incoming data from - # actual clients. - heart_beat_thread = threading.Thread( - name="heart-beat", target=self._put_empty_sample_batch_every_n_sec - ) - heart_beat_thread.daemon = True - heart_beat_thread.start() - - @override(InputReader) - def next(self): - # Blocking wait until there is something in the deque. - while len(self.samples_queue) == 0: - time.sleep(0.1) - # Utilize last items first in order to remain as closely as possible - # to operating on-policy. - return self.samples_queue.pop() - - def _put_empty_sample_batch_every_n_sec(self): - # Places an empty SampleBatch every `idle_timeout` seconds onto the - # `samples_queue`. This avoids hanging of all RolloutWorkers parallel - # to this one in case this PolicyServerInput does not have incoming - # data (e.g. no client connected) and the driver algorithm uses parallel - # synchronous sampling (e.g. PPO). - while True: - time.sleep(self.idle_timeout) - self.samples_queue.append(SampleBatch()) - - -def _make_handler(rollout_worker, samples_queue, metrics_queue): - # Only used in remote inference mode. We must create a new rollout worker - # then since the original worker doesn't have the env properly wrapped in - # an ExternalEnv interface. - child_rollout_worker = None - inference_thread = None - lock = threading.Lock() - - def setup_child_rollout_worker(): - nonlocal lock - - with lock: - nonlocal child_rollout_worker - nonlocal inference_thread - - if child_rollout_worker is None: - ( - child_rollout_worker, - inference_thread, - ) = _create_embedded_rollout_worker( - rollout_worker.creation_args(), report_data - ) - child_rollout_worker.set_weights(rollout_worker.get_weights()) - - def report_data(data): - nonlocal child_rollout_worker - - batch = data["samples"] - batch.decompress_if_needed() - samples_queue.append(batch) - # Deque is full -> purge 50% (oldest samples) - if len(samples_queue) == samples_queue.maxlen: - logger.warning( - "PolicyServerInput queue is full! Purging half of the samples (oldest)." - ) - for _ in range(samples_queue.maxlen // 2): - samples_queue.popleft() - for rollout_metric in data["metrics"]: - metrics_queue.put(rollout_metric) - - if child_rollout_worker is not None: - child_rollout_worker.set_weights( - rollout_worker.get_weights(), rollout_worker.get_global_vars() - ) - - class Handler(SimpleHTTPRequestHandler): - def __init__(self, *a, **kw): - super().__init__(*a, **kw) - - def do_POST(self): - content_len = int(self.headers.get("Content-Length"), 0) - raw_body = self.rfile.read(content_len) - parsed_input = pickle.loads(raw_body) - try: - response = self.execute_command(parsed_input) - self.send_response(200) - self.end_headers() - self.wfile.write(pickle.dumps(response)) - except Exception: - self.send_error(500, traceback.format_exc()) - - def execute_command(self, args): - command = args["command"] - response = {} - - # Local inference commands: - if command == Commands.GET_WORKER_ARGS: - logger.info("Sending worker creation args to client.") - response["worker_args"] = rollout_worker.creation_args() - elif command == Commands.GET_WEIGHTS: - logger.info("Sending worker weights to client.") - response["weights"] = rollout_worker.get_weights() - response["global_vars"] = rollout_worker.get_global_vars() - elif command == Commands.REPORT_SAMPLES: - logger.info( - "Got sample batch of size {} from client.".format( - args["samples"].count - ) - ) - report_data(args) - - # Remote inference commands: - elif command == Commands.START_EPISODE: - setup_child_rollout_worker() - assert inference_thread.is_alive() - response["episode_id"] = child_rollout_worker.env.start_episode( - args["episode_id"], args["training_enabled"] - ) - elif command == Commands.GET_ACTION: - assert inference_thread.is_alive() - response["action"] = child_rollout_worker.env.get_action( - args["episode_id"], args["observation"] - ) - elif command == Commands.LOG_ACTION: - assert inference_thread.is_alive() - child_rollout_worker.env.log_action( - args["episode_id"], args["observation"], args["action"] - ) - elif command == Commands.LOG_RETURNS: - assert inference_thread.is_alive() - if args["done"]: - child_rollout_worker.env.log_returns( - args["episode_id"], args["reward"], args["info"], args["done"] - ) - else: - child_rollout_worker.env.log_returns( - args["episode_id"], args["reward"], args["info"] - ) - elif command == Commands.END_EPISODE: - assert inference_thread.is_alive() - child_rollout_worker.env.end_episode( - args["episode_id"], args["observation"] - ) - else: - raise ValueError("Unknown command: {}".format(command)) - return response - - return Handler diff --git a/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py b/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py index ea88cca34180..72f020f3664d 100644 --- a/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py +++ b/rllib/tuned_examples/ppo/multi_agent_cartpole_ppo.py @@ -44,7 +44,7 @@ ) stop = { - NUM_ENV_STEPS_SAMPLED_LIFETIME: 300000, + NUM_ENV_STEPS_SAMPLED_LIFETIME: 400000, # Divide by num_agents to get actual return per agent. f"{ENV_RUNNER_RESULTS}/{EPISODE_RETURN_MEAN}": 450.0 * (args.num_agents or 1), } diff --git a/rllib/utils/metrics/metrics_logger.py b/rllib/utils/metrics/metrics_logger.py index 627ec5b9d579..28432ea7cca3 100644 --- a/rllib/utils/metrics/metrics_logger.py +++ b/rllib/utils/metrics/metrics_logger.py @@ -761,7 +761,6 @@ def aggregate( key: Optional top-level key under which to log all keys/key sequences found in the n `stats_dicts`. """ - assert isinstance(stats_dicts, list), "stats_dicts must be a list" all_keys = set() def traverse_and_add_paths(d, path=()): diff --git a/rllib/utils/metrics/stats.py b/rllib/utils/metrics/stats.py index a764639effdd..d4f77aeee342 100644 --- a/rllib/utils/metrics/stats.py +++ b/rllib/utils/metrics/stats.py @@ -243,7 +243,8 @@ def __init__( self._throughput_stats = None if throughput is not False: self._throughput_stats = Stats( - # We have to check for bool here because in Python, bool is a subclass of int + # We have to check for bool here because in Python, bool is a subclass + # of int. init_values=[throughput] if ( isinstance(throughput, (int, float)) @@ -258,9 +259,9 @@ def __init__( throughput_ema_coeff=None, ) if init_values is not None: - self._last_push_time = time.perf_counter() + self._last_throughput_measure_time = time.perf_counter() else: - self._last_push_time = ( + self._last_throughput_measure_time = ( -1 ) # Track last push time for throughput calculation @@ -302,14 +303,7 @@ def push(self, value: Any) -> None: self.check_value(value) # If throughput tracking is enabled, calculate it based on time between pushes if self.has_throughput: - current_time = time.perf_counter() - if self._last_push_time >= 0: - time_diff = current_time - self._last_push_time - if time_diff > 0: # Avoid division by zero - current_throughput = value / time_diff - self._throughput_stats.push(current_throughput) - self._last_push_time = current_time - + self._recompute_throughput(value) # Handle different reduction methods if self._window is not None: # For windowed operations, append to values and trim if needed @@ -447,11 +441,7 @@ class for details on the reduction logic applied to the values list, based on # `clear_on_reduce` -> Clear the values list. if self._clear_on_reduce: self._set_values([]) - # If we clear on reduce, following reduce calls should not return the - # old values. - self._has_new_values = True else: - self._has_new_values = False self._set_values(reduced_internal_values_list) else: reduced_internal_values_list = None @@ -510,10 +500,6 @@ def merge_on_time_axis(self, other: "Stats") -> None: """ self.values.extend(other.values) - # Adopt `other`'s current throughput estimate (it's the newer one). - if self.has_throughput: - self._throughput_stats.merge_on_time_axis(other._throughput_stats) - # Mark that we have new values since we modified the values list self._has_new_values = True @@ -587,9 +573,8 @@ def merge_in_parallel(self, *others: "Stats") -> None: continue tmp_values.append(stats.values[-i]) - # Now reduce across `tmp_values` based on the reduce-settings of this Stats. - # TODO (sven) : explain why all this - + # Now reduce across `tmp_values` based on the reduce-settings of this + # Stats. if self._reduce_per_index_on_aggregate: n_values = 1 else: @@ -603,10 +588,10 @@ def merge_in_parallel(self, *others: "Stats") -> None: # We add [sum(tmp_values) / n_values] * n_values to the new values # list instead of tmp_values, because every incoming element should # have the same weight. - reduced_value = ( - self._reduced_values(values=tmp_values)[0][0] / n_values - ) - new_values.extend([reduced_value] * n_values) + added_sum = self._reduced_values(values=tmp_values)[0][0] + new_values.extend([added_sum / n_values] * n_values) + if self.has_throughput: + self._recompute_throughput(added_sum) else: new_values.extend( self._reduced_values(values=tmp_values)[0] * n_values @@ -619,16 +604,37 @@ def merge_in_parallel(self, *others: "Stats") -> None: self._set_values(list(reversed(new_values))) - # Adopt `other`'s current throughput estimate (it's the newer one). - if self.has_throughput: - other_throughput_stats = [ - other._throughput_stats for other in others if other.has_throughput - ] - self._throughput_stats.merge_in_parallel(*other_throughput_stats) - # Mark that we have new values since we modified the values list self._has_new_values = True + def _clear_throughput(self) -> None: + """Clears the throughput Stats, if applicable and `self` has throughput. + + Also resets `self._last_throughput_measure_time` to -1 such that the Stats + object has to create a new timestamp first, before measuring any new throughput + values. + """ + if self.has_throughput: + self._throughput_stats._set_values([]) + self._last_throughput_measure_time = -1 + + def _recompute_throughput(self, value) -> None: + """Recomputes the current throughput value of this Stats instance.""" + # Make sure this Stats object does measure throughput. + assert self.has_throughput + # Take the current time stamp. + current_time = time.perf_counter() + # Check, whether we have a previous timestamp (non -1). + if self._last_throughput_measure_time >= 0: + # Compute the time delta. + time_diff = current_time - self._last_throughput_measure_time + # Avoid divisions by zero. + if time_diff > 0: + # Push new throughput value into our throughput stats object. + self._throughput_stats.push(value / time_diff) + # Update the time stamp of the most recent throughput computation (this one). + self._last_throughput_measure_time = current_time + @staticmethod def _numpy_if_necessary(values): # Torch tensor handling. Convert to CPU/numpy first. @@ -978,35 +984,48 @@ def merge_stats(base_stats: Optional[Stats], incoming_stats: List[Stats]) -> Sta new_root_stats = True else: new_root_stats = False + # Nothing to be merged + if len(incoming_stats) == 0: + return base_stats if new_root_stats: # We need to deepcopy here first because stats from incoming_stats may be altered in the future base_stats = copy.deepcopy(incoming_stats[0]) + base_stats._clear_throughput() + # Note that we may take a mean of means here, which is not the same as a + # mean of all values. In the future, we could implement a weighted mean + # of means here by introducing a new Stats object that counts samples + # for each mean Stats object. + if len(incoming_stats) > 1: + base_stats.merge_in_parallel(*incoming_stats[1:]) elif len(incoming_stats) > 0: # Special case: `base_stats` is a lifetime sum (reduce=sum, # clear_on_reduce=False) -> We subtract the previous value (from 2 # `reduce()` calls ago) from all to-be-merged stats, so we don't count # twice the older sum from before. + + # Also, for the merged, new throughput value, we need to find out what the + # actual value-delta is between before the last reduce and the current one. + + added_sum = 0.0 # Used in `base_stats._recompute_throughput` if applicable. if ( base_stats._reduce_method == "sum" and base_stats._inf_window and base_stats._clear_on_reduce is False ): for stat in incoming_stats: - reduce_by = stat.get_reduce_history()[-2][0] - base_stats.values[-1] -= reduce_by - else: - # Nothing to be merged - return base_stats + # Subtract "lifetime counts" from the Stat's values to not count + # older "lifetime counts" more than once. + _hist = stat.get_reduce_history() + prev_reduction, new_reduction = _hist[-2][0], _hist[-1][0] + # This may not be populated yet -> use 0 then. + if np.isnan(prev_reduction): + prev_reduction = 0 + base_stats.values[-1] -= prev_reduction + # Keep track of how many counts we actually gained (for throughput + # recomputation). + added_sum += new_reduction - prev_reduction - if new_root_stats: - # Note that we may take a mean of means here, which is not the same as a - # mean of all values. In the future, we could implement a weighted mean - # of means here by introducing a new Stats object that counts samples - # for each mean Stats object. - if len(incoming_stats) > 1: - base_stats.merge_in_parallel(*incoming_stats[1:]) - elif len(incoming_stats) > 0: if len(incoming_stats) > 1: # There are more than one incoming parallel others -> Merge all of # them in parallel (equal importance). @@ -1020,5 +1039,8 @@ def merge_stats(base_stats: Optional[Stats], incoming_stats: List[Stats]) -> Sta base_stats._set_values(incoming_stats[0].values.copy()) else: base_stats.merge_on_time_axis(incoming_stats[0]) + # Keep track of throughput through the sum of added counts. + if base_stats.has_throughput: + base_stats._recompute_throughput(added_sum) return base_stats diff --git a/rllib/utils/metrics/tests/test_metrics_logger.py b/rllib/utils/metrics/tests/test_metrics_logger.py index dbd9e0096b04..485af1e86dfc 100644 --- a/rllib/utils/metrics/tests/test_metrics_logger.py +++ b/rllib/utils/metrics/tests/test_metrics_logger.py @@ -3,6 +3,7 @@ import numpy as np import torch +import ray from ray.rllib.utils.metrics.metrics_logger import MetricsLogger from ray.rllib.utils.test_utils import check @@ -235,8 +236,8 @@ def test_throughput_tracking(logger): check(logger.peek("count"), num_iters * 2 + 1) approx_throughput = (num_iters * 2 + 1) / (end_time - start_time) check( - logger.peek("count", throughput=True), approx_throughput, rtol=0.1 - ) # 10% tolerance in throughput + logger.peek("count", throughput=True), approx_throughput, rtol=0.15 + ) # 15% tolerance in throughput # Test _get_throughputs() method without key (returns all throughputs) throughputs = logger.peek(throughput=True) @@ -274,6 +275,79 @@ def test_throughput_tracking(logger): check("count_throughput" in all_throughputs["nested"], True) +def test_throughput_aggregation(): + """Test aggregation of throughput metrics from different (remote) sources.""" + + @ray.remote + class EnvRunner: + def __init__(self): + self.metrics = MetricsLogger() + + def increase(self, count=1): + self.metrics.log_value( + "counter", + count, + reduce="sum", + clear_on_reduce=False, # lifetime counter + with_throughput=True, + ) + + def get_metrics(self): + return self.metrics.reduce() + + env_runners = [EnvRunner.remote() for _ in range(3)] + + # Main logger. + main_metrics = MetricsLogger() + + env_runners[0].increase.remote(count=0) + env_runners[1].increase.remote(count=0) + _ = [ray.get(act.get_metrics.remote()) for act in env_runners] + + # Add 1 count for actor0 and 5 counts for actor1 to the lifetime counters + # in each of the 5 iterations. + # 5 iterations -> expect final count of 5 * 6 = 30 + for _ in range(5): + time.sleep(0.1) + env_runners[0].increase.remote(count=1) + env_runners[1].increase.remote(count=5) + + # Pull metrics from both actors. + results = [ray.get(act.get_metrics.remote()) for act in env_runners] + main_metrics.aggregate(results) + # The first aggregate (before the key even exists in `main_metrics`, throughput + # should be NaN. + check(main_metrics.peek("counter"), 30) + # After first aggregation, throughput should be NaN, b/c the Stats did not exist + # within the `MetricsLogger`. + assert np.isnan(main_metrics.stats["counter"].throughput) + + # Add 1 count for actor0 and 2 counts for actor1 to the lifetime counters + # in each of the 5 iterations. + # 5 iterations each 1 sec -> expect throughput of 3/0.2sec = 5/sec. + for _ in range(5): + time.sleep(0.2) + env_runners[0].increase.remote(count=1) + env_runners[1].increase.remote(count=2) + results = [ray.get(act.get_metrics.remote()) for act in env_runners] + main_metrics.aggregate(results) + + check(main_metrics.peek("counter"), 30 + 15) + tp = main_metrics.stats["counter"].throughput + check(tp, 15, atol=2) + + time.sleep(1.0) + env_runners[2].increase.remote(count=50) + results = ray.get(env_runners[2].get_metrics.remote()) + main_metrics.aggregate([results]) + + check(main_metrics.peek("counter"), 30 + 15 + 50) + tp = main_metrics.stats["counter"].throughput + # Expect throughput - due to the EMA - to be only slightly higher than + # the original value of 15. + check(tp, 16, atol=2) + + def test_reset_and_delete(logger): """Test reset and delete functionality.""" # Log some values From 2cbe0767c003691265d691c3948c36a002b36e25 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 18 Aug 2025 15:12:37 -0700 Subject: [PATCH 0753/1566] [core] rename ray/telemetry to ray/observability (#55703) As title. According to @edoakes, ray telemetry has a different meaning in the ray eco-system. Observability directory will consists for metrics, events and log related infra. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/{telemetry => observability}/BUILD.bazel | 0 .../open_telemetry_metric_recorder.cc | 8 ++++---- .../open_telemetry_metric_recorder.h | 4 ++-- src/ray/{telemetry => observability}/tests/BUILD.bazel | 2 +- .../tests/open_telemetry_metric_recorder_test.cc | 6 +++--- src/ray/stats/BUILD.bazel | 2 +- src/ray/stats/metric.h | 4 ++-- src/ray/stats/stats.h | 4 ++-- src/ray/stats/tests/metric_with_open_telemetry_test.cc | 8 ++++---- 9 files changed, 19 insertions(+), 19 deletions(-) rename src/ray/{telemetry => observability}/BUILD.bazel (100%) rename src/ray/{telemetry => observability}/open_telemetry_metric_recorder.cc (98%) rename src/ray/{telemetry => observability}/open_telemetry_metric_recorder.h (99%) rename src/ray/{telemetry => observability}/tests/BUILD.bazel (80%) rename src/ray/{telemetry => observability}/tests/open_telemetry_metric_recorder_test.cc (96%) diff --git a/src/ray/telemetry/BUILD.bazel b/src/ray/observability/BUILD.bazel similarity index 100% rename from src/ray/telemetry/BUILD.bazel rename to src/ray/observability/BUILD.bazel diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.cc b/src/ray/observability/open_telemetry_metric_recorder.cc similarity index 98% rename from src/ray/telemetry/open_telemetry_metric_recorder.cc rename to src/ray/observability/open_telemetry_metric_recorder.cc index 8db1f8e44984..8c851ed84f05 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.cc +++ b/src/ray/observability/open_telemetry_metric_recorder.cc @@ -11,7 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/telemetry/open_telemetry_metric_recorder.h" +#include "ray/observability/open_telemetry_metric_recorder.h" #include #include @@ -33,7 +33,7 @@ // Anonymous namespace that contains the private callback functions for the // OpenTelemetry metrics. namespace { -using ray::telemetry::OpenTelemetryMetricRecorder; +using ray::observability::OpenTelemetryMetricRecorder; static void _DoubleGaugeCallback(opentelemetry::metrics::ObserverResult observer, void *state) { @@ -50,7 +50,7 @@ static void _DoubleGaugeCallback(opentelemetry::metrics::ObserverResult observer } // anonymous namespace namespace ray { -namespace telemetry { +namespace observability { OpenTelemetryMetricRecorder &OpenTelemetryMetricRecorder::GetInstance() { // Note: This creates a singleton instance of the OpenTelemetryMetricRecorder. The @@ -275,5 +275,5 @@ void OpenTelemetryMetricRecorder::SetSynchronousMetricValue( } } -} // namespace telemetry +} // namespace observability } // namespace ray diff --git a/src/ray/telemetry/open_telemetry_metric_recorder.h b/src/ray/observability/open_telemetry_metric_recorder.h similarity index 99% rename from src/ray/telemetry/open_telemetry_metric_recorder.h rename to src/ray/observability/open_telemetry_metric_recorder.h index 5401da24a994..f21181f1739a 100644 --- a/src/ray/telemetry/open_telemetry_metric_recorder.h +++ b/src/ray/observability/open_telemetry_metric_recorder.h @@ -31,7 +31,7 @@ #include "absl/container/flat_hash_map.h" namespace ray { -namespace telemetry { +namespace observability { // OpenTelemetryMetricRecorder is a singleton class that initializes the OpenTelemetry // grpc exporter and creates a Meter for recording metrics. It is responsible for @@ -159,5 +159,5 @@ class OpenTelemetryMetricRecorder { friend class OpenTelemetryMetricRecorderTest; friend class OpenTelemetryMetricRecorderTest_TestGaugeMetric_Test; }; -} // namespace telemetry +} // namespace observability } // namespace ray diff --git a/src/ray/telemetry/tests/BUILD.bazel b/src/ray/observability/tests/BUILD.bazel similarity index 80% rename from src/ray/telemetry/tests/BUILD.bazel rename to src/ray/observability/tests/BUILD.bazel index 78af015a1fd0..e150e80aab35 100644 --- a/src/ray/telemetry/tests/BUILD.bazel +++ b/src/ray/observability/tests/BUILD.bazel @@ -6,7 +6,7 @@ ray_cc_test( srcs = ["open_telemetry_metric_recorder_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/telemetry:open_telemetry_metric_recorder", + "//src/ray/observability:open_telemetry_metric_recorder", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc b/src/ray/observability/tests/open_telemetry_metric_recorder_test.cc similarity index 96% rename from src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc rename to src/ray/observability/tests/open_telemetry_metric_recorder_test.cc index 0c38f24a1532..c4cca1a6b896 100644 --- a/src/ray/telemetry/tests/open_telemetry_metric_recorder_test.cc +++ b/src/ray/observability/tests/open_telemetry_metric_recorder_test.cc @@ -12,12 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/telemetry/open_telemetry_metric_recorder.h" +#include "ray/observability/open_telemetry_metric_recorder.h" #include "gtest/gtest.h" namespace ray { -namespace telemetry { +namespace observability { class OpenTelemetryMetricRecorderTest : public ::testing::Test { public: @@ -84,5 +84,5 @@ TEST_F(OpenTelemetryMetricRecorderTest, TestHistogramMetric) { ASSERT_TRUE(recorder_.IsMetricRegistered("test_histogram")); } -} // namespace telemetry +} // namespace observability } // namespace ray diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 05496b27ae4f..3187c1043ca6 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -14,7 +14,7 @@ ray_cc_library( ], deps = [ "//src/ray/common:ray_config", - "//src/ray/telemetry:open_telemetry_metric_recorder", + "//src/ray/observability:open_telemetry_metric_recorder", "//src/ray/util", "//src/ray/util:logging", "//src/ray/util:size_literals", diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 10322d4e2c85..f53056492dcc 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -29,7 +29,7 @@ #include "opencensus/stats/stats_exporter.h" #include "opencensus/tags/tag_key.h" #include "ray/common/ray_config.h" -#include "ray/telemetry/open_telemetry_metric_recorder.h" +#include "ray/observability/open_telemetry_metric_recorder.h" #include "ray/util/logging.h" namespace ray { @@ -39,7 +39,7 @@ namespace stats { /// Include tag_defs.h to define tag items #include "ray/stats/tag_defs.h" -using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; +using OpenTelemetryMetricRecorder = ray::observability::OpenTelemetryMetricRecorder; /// StatsConfig per process. /// Note that this is not thread-safe. Don't modify its internal values diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index 74c1f25e8a0e..af952e5b3ccc 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -28,9 +28,9 @@ #include "ray/common/asio/io_service_pool.h" #include "ray/common/id.h" #include "ray/common/ray_config.h" +#include "ray/observability/open_telemetry_metric_recorder.h" #include "ray/stats/metric.h" #include "ray/stats/metric_exporter.h" -#include "ray/telemetry/open_telemetry_metric_recorder.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" @@ -40,7 +40,7 @@ namespace stats { #include -using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; +using OpenTelemetryMetricRecorder = ray::observability::OpenTelemetryMetricRecorder; // TODO(sang) Put all states and logic into a singleton class Stats. static std::shared_ptr metrics_io_service_pool; diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index d6aeb3cbb471..4c337d47fb76 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -14,14 +14,14 @@ #include "gtest/gtest.h" #include "ray/common/ray_config.h" +#include "ray/observability/open_telemetry_metric_recorder.h" #include "ray/stats/metric.h" -#include "ray/telemetry/open_telemetry_metric_recorder.h" namespace ray { -namespace telemetry { +namespace observability { using namespace std::literals; -using OpenTelemetryMetricRecorder = ray::telemetry::OpenTelemetryMetricRecorder; +using OpenTelemetryMetricRecorder = ray::observability::OpenTelemetryMetricRecorder; using StatsConfig = ray::stats::StatsConfig; using TagsMap = absl::flat_hash_map; @@ -233,5 +233,5 @@ INSTANTIATE_TEST_SUITE_P( {"Tag2", "Value5"}}, /*expected_value=*/82.0})); -} // namespace telemetry +} // namespace observability } // namespace ray From 5510d50ea61fc82bf015ed3e40670ecca1e1832c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 18 Aug 2025 17:28:48 -0500 Subject: [PATCH 0754/1566] [core] Separate targets for pubsub interfaces (#55681) Move publisher & subscriber interfaces into their own header files & build targets. Update relevant callsites to use them. Unfortunately, `reference_count_test` reaches into internal implementation details of the publisher and this dependency was a little tricky to break, so not touching it here. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 12 +- src/fakes/ray/pubsub/publisher.h | 8 +- src/mock/ray/pubsub/BUILD.bazel | 17 +++ src/mock/ray/pubsub/publisher.h | 17 ++- src/mock/ray/pubsub/subscriber.h | 14 -- src/mock/ray/rpc/worker/core_worker_client.h | 5 +- src/ray/core_worker/BUILD.bazel | 4 +- src/ray/core_worker/reference_count.h | 4 +- src/ray/core_worker/tests/BUILD.bazel | 10 +- .../core_worker/tests/reference_count_test.cc | 17 ++- src/ray/gcs/gcs_client/gcs_client.cc | 2 + src/ray/gcs/gcs_server/tests/BUILD.bazel | 15 +- .../gcs_actor_manager_export_event_test.cc | 2 +- .../gcs_job_manager_export_event_test.cc | 1 - .../tests/gcs_actor_manager_test.cc | 2 +- .../tests/gcs_actor_scheduler_mock_test.cc | 1 - .../gcs_autoscaler_state_manager_test.cc | 1 - src/ray/gcs/pubsub/BUILD.bazel | 4 +- src/ray/gcs/pubsub/gcs_pub_sub.h | 13 +- src/ray/object_manager/BUILD.bazel | 2 +- src/ray/object_manager/tests/BUILD.bazel | 2 +- src/ray/pubsub/BUILD.bazel | 25 +++ src/ray/pubsub/publisher.cc | 31 ++-- src/ray/pubsub/publisher.h | 106 +++---------- src/ray/pubsub/publisher_interface.h | 92 ++++++++++++ src/ray/pubsub/subscriber.cc | 32 ++-- src/ray/pubsub/subscriber.h | 141 ++--------------- src/ray/pubsub/subscriber_interface.h | 142 ++++++++++++++++++ src/ray/pubsub/tests/integration_test.cc | 2 + src/ray/pubsub/tests/publisher_test.cc | 8 +- src/ray/pubsub/tests/subscriber_test.cc | 4 +- src/ray/raylet/BUILD.bazel | 2 +- src/ray/raylet/local_object_manager.h | 2 +- src/ray/raylet/tests/BUILD.bazel | 1 + src/ray/rpc/worker/core_worker_client.h | 4 + 35 files changed, 440 insertions(+), 305 deletions(-) create mode 100644 src/mock/ray/pubsub/BUILD.bazel create mode 100644 src/ray/pubsub/publisher_interface.h create mode 100644 src/ray/pubsub/subscriber_interface.h diff --git a/BUILD.bazel b/BUILD.bazel index 804a9591b91d..1c77a53d4e73 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -110,14 +110,24 @@ refresh_compile_commands( ray_cc_library( name = "ray_mock", + # NOTE(edoakes): we are moving towards fine-grained mock and fake targets. + # Do not include new files in this target, instead make a BUILD.bazel file + # in the subdirectory and exclude it here. hdrs = glob( ["src/mock/**/*.h"], - exclude = ["src/mock/ray/common/ray_syncer/ray_syncer.h"], + exclude = [ + "src/mock/ray/common/pubsub/publisher.h", + "src/mock/ray/common/pubsub/subscriber.h", + "src/mock/ray/common/ray_syncer/ray_syncer.h", + ], ), ) ray_cc_library( name = "ray_fakes", + # NOTE(edoakes): we are moving towards fine-grained mock and fake targets. + # Do not include new files in this target, instead make a BUILD.bazel file + # in the subdirectory and exclude it here. hdrs = glob( ["src/fakes/**/*.h"], ), diff --git a/src/fakes/ray/pubsub/publisher.h b/src/fakes/ray/pubsub/publisher.h index b8daaf958f31..d6a5c7a6dae0 100644 --- a/src/fakes/ray/pubsub/publisher.h +++ b/src/fakes/ray/pubsub/publisher.h @@ -22,7 +22,7 @@ namespace pubsub { class FakePublisher : public Publisher { public: bool RegisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) override { return true; } @@ -33,10 +33,14 @@ class FakePublisher : public Publisher { const std::string &key_id) override {} bool UnregisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) override { return true; } + + void UnregisterSubscriber(const UniqueID &subscriber_id) override { return; } + + std::string DebugString() const override { return "FakePublisher"; } }; } // namespace pubsub diff --git a/src/mock/ray/pubsub/BUILD.bazel b/src/mock/ray/pubsub/BUILD.bazel new file mode 100644 index 000000000000..1a40ca0ac02c --- /dev/null +++ b/src/mock/ray/pubsub/BUILD.bazel @@ -0,0 +1,17 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "mock_publisher", + hdrs = ["publisher.h"], + deps = [ + "//src/ray/pubsub:publisher_interface", + ], +) + +ray_cc_library( + name = "mock_subscriber", + hdrs = ["subscriber.h"], + deps = [ + "//src/ray/pubsub:subscriber_interface", + ], +) diff --git a/src/mock/ray/pubsub/publisher.h b/src/mock/ray/pubsub/publisher.h index 899f34fd140b..dfad1d21c2ce 100644 --- a/src/mock/ray/pubsub/publisher.h +++ b/src/mock/ray/pubsub/publisher.h @@ -12,15 +12,24 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/pubsub/publisher_interface.h" + namespace ray { namespace pubsub { -class MockPublisher : public Publisher { +class MockPublisher : public PublisherInterface { public: + MOCK_METHOD(void, + ConnectToSubscriber, + (const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback), + (override)); MOCK_METHOD(bool, RegisterSubscription, (const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id), (override)); MOCK_METHOD(void, Publish, (rpc::PubMessage pub_message), (override)); @@ -31,9 +40,11 @@ class MockPublisher : public Publisher { MOCK_METHOD(bool, UnregisterSubscription, (const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id), (override)); + MOCK_METHOD(void, UnregisterSubscriber, (const UniqueID &subscriber_id), (override)); + MOCK_METHOD(std::string, DebugString, (), (const, override)); }; } // namespace pubsub diff --git a/src/mock/ray/pubsub/subscriber.h b/src/mock/ray/pubsub/subscriber.h index 2aa671795ee9..cf21d3a4e022 100644 --- a/src/mock/ray/pubsub/subscriber.h +++ b/src/mock/ray/pubsub/subscriber.h @@ -20,20 +20,6 @@ namespace ray { namespace pubsub { -class MockSubscriberClientInterface : public SubscriberClientInterface { - public: - MOCK_METHOD(void, - PubsubLongPolling, - (const rpc::PubsubLongPollingRequest &request, - const rpc::ClientCallback &callback), - (override)); - MOCK_METHOD(void, - PubsubCommandBatch, - (const rpc::PubsubCommandBatchRequest &request, - const rpc::ClientCallback &callback), - (override)); -}; - class MockSubscriber : public SubscriberInterface { public: MOCK_METHOD(bool, diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index 3e7e4d734c4c..019d4b42842c 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -15,13 +15,13 @@ #pragma once #include "gmock/gmock.h" +#include "ray/pubsub/subscriber_interface.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { namespace rpc { -class MockCoreWorkerClientInterface : public ray::pubsub::MockSubscriberClientInterface, - public CoreWorkerClientInterface { +class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { public: MOCK_METHOD(void, PushActorTask, @@ -129,6 +129,7 @@ class MockCoreWorkerClientInterface : public ray::pubsub::MockSubscriberClientIn (const AssignObjectOwnerRequest &request, const ClientCallback &callback), (override)); + MOCK_METHOD(std::string, DebugString, (), (const, override)); }; class MockCoreWorkerClientConfigurableRunningTasks diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 8d41c345f4c2..f4410f8a9695 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -153,8 +153,8 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/core_worker:lease_policy", "//src/ray/protobuf:common_cc_proto", - "//src/ray/pubsub:publisher", - "//src/ray/pubsub:subscriber", + "//src/ray/pubsub:publisher_interface", + "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:grpc_server", "//src/ray/util:logging", diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index c58cbe5af91a..4214ded8d24c 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -28,8 +28,8 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/core_worker/lease_policy.h" -#include "ray/pubsub/publisher.h" -#include "ray/pubsub/subscriber.h" +#include "ray/pubsub/publisher_interface.h" +#include "ray/pubsub/subscriber_interface.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index d9fef40c7b6d..8f195aeb3944 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -34,12 +34,14 @@ ray_cc_test( srcs = ["reference_count_test.cc"], tags = ["team:core"], deps = [ - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", "//src/ray/pubsub:publisher", - "//src/ray/pubsub:subscriber", + "//src/ray/pubsub:publisher_interface", + "//src/ray/pubsub:subscriber_interface", "@com_google_absl//absl/functional:bind_front", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -54,6 +56,8 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", @@ -72,6 +76,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 7f5f235d3c14..4ca580c67ddc 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -29,7 +29,8 @@ #include "ray/common/ray_object.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/pubsub/publisher.h" -#include "ray/pubsub/subscriber.h" +#include "ray/pubsub/publisher_interface.h" +#include "ray/pubsub/subscriber_interface.h" namespace ray { namespace core { @@ -129,7 +130,7 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { MockDistributedSubscriber(pubsub::pub_internal::SubscriptionIndex *dict, SubscriptionCallbackMap *sub_callback_map, SubscriptionFailureCallbackMap *sub_failure_callback_map, - pubsub::SubscriberID subscriber_id, + UniqueID subscriber_id, PublisherFactoryFn client_factory) : directory_(dict), subscription_callback_map_(sub_callback_map), @@ -225,7 +226,7 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { pubsub::pub_internal::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; SubscriptionFailureCallbackMap *subscription_failure_callback_map_; - pubsub::SubscriberID subscriber_id_; + UniqueID subscriber_id_; std::unique_ptr subscriber_; PublisherFactoryFn client_factory_; }; @@ -243,7 +244,7 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { ~MockDistributedPublisher() = default; bool RegisterSubscription(const rpc::ChannelType channel_type, - const pubsub::SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id_binary) override { RAY_CHECK(false) << "No need to implement it for testing."; return false; @@ -272,17 +273,21 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { } bool UnregisterSubscription(const rpc::ChannelType channel_type, - const pubsub::SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id_binary) override { return true; } + void UnregisterSubscriber(const UniqueID &subscriber_id) override { return; } + void ConnectToSubscriber( const rpc::PubsubLongPollingRequest &request, std::string *publisher_id, google::protobuf::RepeatedPtrField *pub_messages, rpc::SendReplyCallback send_reply_callback) override {} + std::string DebugString() const override { return ""; } + pubsub::pub_internal::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; SubscriptionFailureCallbackMap *subscription_failure_callback_map_; @@ -343,6 +348,8 @@ class MockWorkerClient : public MockCoreWorkerClientInterface { num_requests_++; } + std::string DebugString() const override { return ""; } + bool FlushBorrowerCallbacks() { // Flush all the borrower callbacks. This means that after this function is invoked, // all of ref_counts will be tracked. diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs/gcs_client/gcs_client.cc index a26fe77180ca..6f9623ea5d4e 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs/gcs_client/gcs_client.cc @@ -48,6 +48,8 @@ class GcsSubscriberClient final : public pubsub::SubscriberClientInterface { const rpc::PubsubCommandBatchRequest &request, const rpc::ClientCallback &callback) final; + std::string DebugString() const final { return ""; } + private: const std::shared_ptr rpc_client_; }; diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index b0af67f3acd5..67d3aa490fde 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -112,7 +112,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":gcs_server_test_util", - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -129,6 +129,8 @@ ray_cc_test( deps = [ ":gcs_server_test_util", "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -164,6 +166,7 @@ ray_cc_test( deps = [ ":gcs_server_test_util", "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -182,7 +185,7 @@ ray_cc_test( ], deps = [ ":gcs_server_test_util", - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -198,7 +201,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":gcs_server_test_util", - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", @@ -235,6 +238,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/pubsub:publisher", "@com_google_googletest//:gtest_main", ], ) @@ -248,7 +252,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":gcs_server_test_util", - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:process", @@ -363,6 +367,7 @@ ray_cc_test( deps = [ ":gcs_server_test_util", "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -396,7 +401,7 @@ ray_cc_test( ], deps = [ ":gcs_server_test_util", - "//:ray_mock", + "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index d3940e6c5021..a7bc18a0216d 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -28,7 +28,7 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/pubsub/publisher.h" +#include "ray/pubsub/publisher.h" #include "ray/util/event.h" // clang-format on diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index 049a6df3a4e3..33b80d640bf4 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -26,7 +26,6 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" -#include "mock/ray/pubsub/subscriber.h" #include "mock/ray/rpc/worker/core_worker_client.h" // clang-format on diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 303085699800..8754b5a404dc 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -24,9 +24,9 @@ #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/pubsub/publisher.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/pubsub/publisher.h" // clang-format on namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index 2671f360ec09..af01302aef3b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -23,7 +23,6 @@ #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "mock/ray/raylet_client/raylet_client.h" -#include "mock/ray/pubsub/subscriber.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_util.h" // clang-format on diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 2b95dae2729c..5f75f531f38b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -32,7 +32,6 @@ #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" #include "mock/ray/gcs/store_client/store_client.h" -#include "mock/ray/pubsub/subscriber.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel index e5a50a771846..362186603fe2 100644 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ b/src/ray/gcs/pubsub/BUILD.bazel @@ -8,8 +8,8 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/gcs:gcs_callback", "//src/ray/gcs:gcs_redis_client", - "//src/ray/pubsub:publisher", - "//src/ray/pubsub:subscriber", + "//src/ray/pubsub:publisher_interface", + "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:gcs_client", ], ) diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h index 89abb70397f9..f5b8ddead4f3 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ b/src/ray/gcs/pubsub/gcs_pub_sub.h @@ -22,8 +22,8 @@ #include "absl/synchronization/mutex.h" #include "ray/gcs/callback.h" -#include "ray/pubsub/publisher.h" -#include "ray/pubsub/subscriber.h" +#include "ray/pubsub/publisher_interface.h" +#include "ray/pubsub/subscriber_interface.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" @@ -38,13 +38,13 @@ class GcsPublisher { /// Initializes GcsPublisher with GCS based publishers. /// Publish*() member functions below would be incrementally converted to use the GCS /// based publisher, if available. - explicit GcsPublisher(std::unique_ptr publisher) + explicit GcsPublisher(std::unique_ptr publisher) : publisher_(std::move(publisher)) { RAY_CHECK(publisher_); } /// Returns the underlying pubsub::Publisher. Caller does not take ownership. - pubsub::Publisher &GetPublisher() const { return *publisher_; } + pubsub::PublisherInterface &GetPublisher() const { return *publisher_; } /// Each publishing method below publishes to a different "channel". /// ID is the entity which the message is associated with, e.g. ActorID for Actor data. @@ -71,7 +71,7 @@ class GcsPublisher { std::string DebugString() const; private: - const std::unique_ptr publisher_; + const std::unique_ptr publisher_; }; /// \class GcsSubscriber @@ -81,7 +81,8 @@ class GcsSubscriber { public: /// Initializes GcsSubscriber with GCS based GcsSubscribers. // TODO(mwtian): Support restarted GCS publisher, at the same or a different address. - GcsSubscriber(rpc::Address gcs_address, std::unique_ptr subscriber) + GcsSubscriber(rpc::Address gcs_address, + std::unique_ptr subscriber) : gcs_address_(std::move(gcs_address)), subscriber_(std::move(subscriber)) {} /// Subscribe*() member functions below would be incrementally converted to use the GCS diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 3013567accad..55b27775f600 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -67,7 +67,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/pubsub:subscriber", + "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/container:flat_hash_map", ], diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index 4a7192248f8b..9d56d86614e6 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -36,7 +36,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:ray_mock", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/object_manager:ownership_object_directory", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index ba280ed8eb04..b2c5d89e0efb 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -1,5 +1,16 @@ load("//bazel:ray.bzl", "ray_cc_library") +ray_cc_library( + name = "publisher_interface", + hdrs = ["publisher_interface.h"], + deps = [ + "//src/ray/protobuf:pubsub_cc_grpc", + # NOTE(edoakes): we only seem to need `SendReplyCallback` from server_call.h. + # We should move that definition to its own target. + "//src/ray/rpc:server_call", + ], +) + ray_cc_library( name = "publisher", srcs = ["publisher.cc"], @@ -8,6 +19,7 @@ ray_cc_library( "//src/ray/protobuf:pubsub_cc_grpc", # NOTE(edoakes): we only seem to need `SendReplyCallback` from server_call.h. # We should move that definition to its own target. + "//src/ray/pubsub:publisher_interface", "//src/ray/rpc:server_call", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -15,6 +27,18 @@ ray_cc_library( ], ) +ray_cc_library( + name = "subscriber_interface", + hdrs = ["subscriber_interface.h"], + deps = [ + "//src/ray/protobuf:common_cc_proto", + "//src/ray/protobuf:pubsub_cc_grpc", + # NOTE(edoakes): we only seem to need `ClientCallback` from client_call.h. + # We should move that definition to its own target. + "//src/ray/rpc:client_call", + ], +) + ray_cc_library( name = "subscriber", srcs = ["subscriber.cc"], @@ -24,6 +48,7 @@ ray_cc_library( # NOTE(edoakes): we only seem to need `ClientCallback` from client_call.h. # We should move that definition to its own target. "//src/ray/rpc:client_call", + "//src/ray/pubsub:subscriber_interface", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", diff --git a/src/ray/pubsub/publisher.cc b/src/ray/pubsub/publisher.cc index 059466242f7e..86eab003fa26 100644 --- a/src/ray/pubsub/publisher.cc +++ b/src/ray/pubsub/publisher.cc @@ -96,12 +96,11 @@ bool EntityState::AddSubscriber(SubscriberState *subscriber) { return subscribers_.emplace(subscriber->id(), subscriber).second; } -bool EntityState::RemoveSubscriber(const SubscriberID &id) { - return subscribers_.erase(id) > 0; +bool EntityState::RemoveSubscriber(const UniqueID &subscriber_id) { + return subscribers_.erase(subscriber_id) > 0; } -const absl::flat_hash_map &EntityState::Subscribers() - const { +const absl::flat_hash_map &EntityState::Subscribers() const { return subscribers_; } @@ -150,9 +149,9 @@ bool SubscriptionIndex::AddEntry(const std::string &key_id, SubscriberState *sub return key_added; } -std::vector SubscriptionIndex::GetSubscriberIdsByKeyId( +std::vector SubscriptionIndex::GetSubscriberIdsByKeyId( const std::string &key_id) const { - std::vector subscribers; + std::vector subscribers; if (!subscribers_to_all_->Subscribers().empty()) { for (const auto &[sub_id, sub] : subscribers_to_all_->Subscribers()) { subscribers.push_back(sub_id); @@ -167,7 +166,7 @@ std::vector SubscriptionIndex::GetSubscriberIdsByKeyId( return subscribers; } -bool SubscriptionIndex::EraseSubscriber(const SubscriberID &subscriber_id) { +bool SubscriptionIndex::EraseSubscriber(const UniqueID &subscriber_id) { // Erase subscriber of all keys. if (subscribers_to_all_->RemoveSubscriber(subscriber_id)) { return true; @@ -197,7 +196,7 @@ bool SubscriptionIndex::EraseSubscriber(const SubscriberID &subscriber_id) { } bool SubscriptionIndex::EraseEntry(const std::string &key_id, - const SubscriberID &subscriber_id) { + const UniqueID &subscriber_id) { // Erase the subscriber of all keys. if (key_id.empty()) { return subscribers_to_all_->RemoveSubscriber(subscriber_id); @@ -239,7 +238,7 @@ bool SubscriptionIndex::HasKeyId(const std::string &key_id) const { return entities_.contains(key_id); } -bool SubscriptionIndex::HasSubscriber(const SubscriberID &subscriber_id) const { +bool SubscriptionIndex::HasSubscriber(const UniqueID &subscriber_id) const { if (subscribers_to_all_->Subscribers().contains(subscriber_id)) { return true; } @@ -381,7 +380,7 @@ void Publisher::ConnectToSubscriber( rpc::SendReplyCallback send_reply_callback) { RAY_CHECK(send_reply_callback != nullptr); - const auto subscriber_id = SubscriberID::FromBinary(request.subscriber_id()); + const auto subscriber_id = UniqueID::FromBinary(request.subscriber_id()); RAY_LOG(DEBUG) << "Long polling connection initiated by " << subscriber_id.Hex() << ", publisher_id " << publisher_id_.Hex(); absl::MutexLock lock(&mutex_); @@ -405,7 +404,7 @@ void Publisher::ConnectToSubscriber( } bool Publisher::RegisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) { absl::MutexLock lock(&mutex_); auto it = subscribers_.find(subscriber_id); @@ -453,7 +452,7 @@ void Publisher::PublishFailure(const rpc::ChannelType channel_type, } bool Publisher::UnregisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) { absl::MutexLock lock(&mutex_); auto subscription_index_it = subscription_index_map_.find(channel_type); @@ -461,7 +460,7 @@ bool Publisher::UnregisterSubscription(const rpc::ChannelType channel_type, return subscription_index_it->second.EraseEntry(key_id.value_or(""), subscriber_id); } -void Publisher::UnregisterSubscriber(const SubscriberID &subscriber_id) { +void Publisher::UnregisterSubscriber(const UniqueID &subscriber_id) { absl::MutexLock lock(&mutex_); UnregisterSubscriberInternal(subscriber_id); } @@ -470,7 +469,7 @@ void Publisher::UnregisterAll() { absl::MutexLock lock(&mutex_); // Save the subscriber IDs to be removed, because UnregisterSubscriberInternal() // erases from subscribers_. - std::vector ids; + std::vector ids; for (const auto &[id, subscriber] : subscribers_) { ids.push_back(id); } @@ -479,7 +478,7 @@ void Publisher::UnregisterAll() { } } -void Publisher::UnregisterSubscriberInternal(const SubscriberID &subscriber_id) { +void Publisher::UnregisterSubscriberInternal(const UniqueID &subscriber_id) { RAY_LOG(DEBUG) << "Unregistering subscriber " << subscriber_id.Hex(); for (auto &index : subscription_index_map_) { index.second.EraseSubscriber(subscriber_id); @@ -497,7 +496,7 @@ void Publisher::UnregisterSubscriberInternal(const SubscriberID &subscriber_id) void Publisher::CheckDeadSubscribers() { absl::MutexLock lock(&mutex_); - std::vector dead_subscribers; + std::vector dead_subscribers; for (const auto &it : subscribers_) { const auto &subscriber = it.second; diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index e3a2e92e9e59..009fa3e1edfa 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -29,6 +29,7 @@ #include "absl/synchronization/mutex.h" #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" +#include "ray/pubsub/publisher_interface.h" #include "ray/rpc/server_call.h" #include "src/ray/protobuf/pubsub.pb.h" @@ -36,9 +37,6 @@ namespace ray { namespace pubsub { -using SubscriberID = UniqueID; -using PublisherID = UniqueID; - namespace pub_internal { class SubscriberState; @@ -57,17 +55,17 @@ class EntityState { /// Manages the set of subscribers of this entity. bool AddSubscriber(SubscriberState *subscriber); - bool RemoveSubscriber(const SubscriberID &id); + bool RemoveSubscriber(const UniqueID &subscriber_id); /// Gets the current set of subscribers, keyed by subscriber IDs. - const absl::flat_hash_map &Subscribers() const; + const absl::flat_hash_map &Subscribers() const; size_t GetNumBufferedBytes() const { return total_size_; } protected: // Subscribers of this entity. // The underlying SubscriberState is owned by Publisher. - absl::flat_hash_map subscribers_; + absl::flat_hash_map subscribers_; private: // Tracks inflight messages. The messages have shared ownership by @@ -108,11 +106,11 @@ class SubscriptionIndex { /// Erases the subscriber from this index. /// Returns whether the subscriber exists before the call. - bool EraseSubscriber(const SubscriberID &subscriber_id); + bool EraseSubscriber(const UniqueID &subscriber_id); /// Erases the subscriber from the particular key. /// When `key_id` is empty, the subscriber subscribes to all keys. - bool EraseEntry(const std::string &key_id, const SubscriberID &subscriber_id); + bool EraseEntry(const std::string &key_id, const UniqueID &subscriber_id); /// Test only. /// Returns true if the entity id exists in the index. @@ -122,11 +120,11 @@ class SubscriptionIndex { /// Test only. /// Returns true if the subscriber id exists in the index, including both per-entity /// and all-entity subscribers. - bool HasSubscriber(const SubscriberID &subscriber_id) const; + bool HasSubscriber(const UniqueID &subscriber_id) const; /// Returns a vector of subscriber ids that are subscribing to the given object ids. /// Test only. - std::vector GetSubscriberIdsByKeyId(const std::string &key_id) const; + std::vector GetSubscriberIdsByKeyId(const std::string &key_id) const; int64_t GetNumBufferedBytes() const; @@ -144,8 +142,7 @@ class SubscriptionIndex { absl::flat_hash_map> entities_; // Mapping from subscriber IDs -> subscribed key ids. // Reverse index of key_id_to_subscribers_. - absl::flat_hash_map> - subscribers_to_key_id_; + absl::flat_hash_map> subscribers_to_key_id_; }; struct LongPollConnection { @@ -164,11 +161,11 @@ struct LongPollConnection { /// Keeps the state of each connected subscriber. class SubscriberState { public: - SubscriberState(SubscriberID subscriber_id, + SubscriberState(UniqueID subscriber_id, std::function get_time_ms, uint64_t connection_timeout_ms, int64_t publish_batch_size, - PublisherID publisher_id) + UniqueID publisher_id) : subscriber_id_(subscriber_id), get_time_ms_(std::move(get_time_ms)), connection_timeout_ms_(connection_timeout_ms), @@ -214,11 +211,11 @@ class SubscriberState { bool IsActive() const; /// Returns the ID of this subscriber. - const SubscriberID &id() const { return subscriber_id_; } + const UniqueID &id() const { return subscriber_id_; } private: /// Subscriber ID, for logging and debugging. - const SubscriberID subscriber_id_; + const UniqueID subscriber_id_; /// Inflight long polling reply callback, for replying to the subscriber. std::unique_ptr long_polling_connection_; /// Queued messages to publish. @@ -236,60 +233,6 @@ class SubscriberState { } // namespace pub_internal -/// Publisher interface. Note that message ids are passed as a string to avoid templated -/// definition which doesn't go well with virtual methods. -class PublisherInterface { - public: - virtual ~PublisherInterface() = default; - - /// Handle a long poll request from `subscriber_id`. - /// - /// TODO(sang): Currently, we need to pass the callback for connection because we are - /// using long polling internally. This should be changed once the bidirectional grpc - /// streaming is supported. - virtual void ConnectToSubscriber( - const rpc::PubsubLongPollingRequest &request, - std::string *publisher_id, - google::protobuf::RepeatedPtrField *pub_messages, - rpc::SendReplyCallback send_reply_callback) = 0; - - /// Register the subscription. - /// - /// \param channel_type The type of the channel. - /// \param subscriber_id The node id of the subscriber. - /// \param key_id The key_id that the subscriber is subscribing to. std::nullopt if - /// subscribing to all. - /// \return True if registration is new. False otherwise. - virtual bool RegisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, - const std::optional &key_id) = 0; - - /// Publish the given object id to subscribers. - /// - /// \param pub_message The message to publish. - /// Required to contain channel_type and key_id fields. - virtual void Publish(rpc::PubMessage pub_message) = 0; - - /// Publish to the subscriber that the given key id is not available anymore. - /// It will invoke the failure callback on the subscriber side. - /// - /// \param channel_type The type of the channel. - /// \param key_id The message id to publish. - virtual void PublishFailure(const rpc::ChannelType channel_type, - const std::string &key_id) = 0; - - /// Unregister subscription. It means the given object id won't be published to the - /// subscriber anymore. - /// - /// \param channel_type The type of the channel. - /// \param subscriber_id The node id of the subscriber. - /// \param key_id The key_id of the subscriber. std::nullopt if subscribing to all. - /// \return True if erased. False otherwise. - virtual bool UnregisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, - const std::optional &key_id) = 0; -}; - /// Protocol detail /// /// - Subscriber always send a long polling connection as long as there are subscribed @@ -321,7 +264,7 @@ class Publisher : public PublisherInterface { std::function get_time_ms, const uint64_t subscriber_timeout_ms, int64_t publish_batch_size, - PublisherID publisher_id = NodeID::FromRandom()) + UniqueID publisher_id = NodeID::FromRandom()) : periodical_runner_(&periodical_runner), get_time_ms_(std::move(get_time_ms)), subscriber_timeout_ms_(subscriber_timeout_ms), @@ -344,7 +287,7 @@ class Publisher : public PublisherInterface { rpc::SendReplyCallback send_reply_callback) override; bool RegisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) override; void Publish(rpc::PubMessage pub_message) override; @@ -353,14 +296,12 @@ class Publisher : public PublisherInterface { const std::string &key_id) override; bool UnregisterSubscription(const rpc::ChannelType channel_type, - const SubscriberID &subscriber_id, + const UniqueID &subscriber_id, const std::optional &key_id) override; - /// Remove the subscriber. Once the subscriber is removed, messages won't be published - /// to it anymore. - /// - /// \param subscriber_id The node id of the subscriber to unsubscribe. - void UnregisterSubscriber(const SubscriberID &subscriber_id); + void UnregisterSubscriber(const UniqueID &subscriber_id) override; + + std::string DebugString() const override; /// Flushes all inflight pollings and unregisters all subscribers. void UnregisterAll(); @@ -384,8 +325,6 @@ class Publisher : public PublisherInterface { /// having a timer per subscriber. void CheckDeadSubscribers(); - std::string DebugString() const; - private: /// /// Testing fields @@ -415,7 +354,7 @@ class Publisher : public PublisherInterface { /// Private fields /// - void UnregisterSubscriberInternal(const SubscriberID &subscriber_id) + void UnregisterSubscriberInternal(const UniqueID &subscriber_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); // Periodic runner to invoke CheckDeadSubscribers. @@ -434,7 +373,7 @@ class Publisher : public PublisherInterface { mutable absl::Mutex mutex_; /// Mapping of node id -> subscribers. - absl::flat_hash_map> + absl::flat_hash_map> subscribers_ ABSL_GUARDED_BY(mutex_); /// Index that stores the mapping of messages <-> subscribers. @@ -463,8 +402,7 @@ class Publisher : public PublisherInterface { /// of a channel. int64_t next_sequence_id_ ABSL_GUARDED_BY(mutex_) = 0; - /// A unique identifier identifies the publisher_id. - const PublisherID publisher_id_; + const UniqueID publisher_id_; }; } // namespace pubsub diff --git a/src/ray/pubsub/publisher_interface.h b/src/ray/pubsub/publisher_interface.h new file mode 100644 index 000000000000..2ff6bafe7ecc --- /dev/null +++ b/src/ray/pubsub/publisher_interface.h @@ -0,0 +1,92 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include +#include +#include + +#include "ray/common/id.h" +#include "ray/rpc/server_call.h" +#include "src/ray/protobuf/pubsub.pb.h" + +namespace ray { +namespace pubsub { + +/// Publisher interface. Note that message ids are passed as a string to avoid templated +/// definition which doesn't go well with virtual methods. +class PublisherInterface { + public: + virtual ~PublisherInterface() = default; + + /// Handle a long poll request from `subscriber_id`. + /// + /// TODO(sang): Currently, we need to pass the callback for connection because we are + /// using long polling internally. This should be changed once the bidirectional grpc + /// streaming is supported. + virtual void ConnectToSubscriber( + const rpc::PubsubLongPollingRequest &request, + std::string *publisher_id, + google::protobuf::RepeatedPtrField *pub_messages, + rpc::SendReplyCallback send_reply_callback) = 0; + + /// Register the subscription. + /// + /// \param channel_type The type of the channel. + /// \param subscriber_id The ID of the subscriber. + /// \param key_id The key_id that the subscriber is subscribing to. std::nullopt if + /// subscribing to all. + /// \return True if registration is new. False otherwise. + virtual bool RegisterSubscription(const rpc::ChannelType channel_type, + const UniqueID &subscriber_id, + const std::optional &key_id) = 0; + + /// Publish the given object id to subscribers. + /// + /// \param pub_message The message to publish. + /// Required to contain channel_type and key_id fields. + virtual void Publish(rpc::PubMessage pub_message) = 0; + + /// Publish to the subscriber that the given key id is not available anymore. + /// It will invoke the failure callback on the subscriber side. + /// + /// \param channel_type The type of the channel. + /// \param key_id The message id to publish. + virtual void PublishFailure(const rpc::ChannelType channel_type, + const std::string &key_id) = 0; + + /// Unregister subscription. It means the given object id won't be published to the + /// subscriber anymore. + /// + /// \param channel_type The type of the channel. + /// \param subscriber_id The ID of the subscriber. + /// \param key_id The key_id of the subscriber. std::nullopt if subscribing to all. + /// \return True if erased. False otherwise. + virtual bool UnregisterSubscription(const rpc::ChannelType channel_type, + const UniqueID &subscriber_id, + const std::optional &key_id) = 0; + + /// Unregister subscriber. No messages on any channels will be published to it anymore. + /// + /// \param subscriber_id The ID of the subscriber. + virtual void UnregisterSubscriber(const UniqueID &subscriber_id) = 0; + + virtual std::string DebugString() const = 0; +}; + +} // namespace pubsub +} // namespace ray diff --git a/src/ray/pubsub/subscriber.cc b/src/ray/pubsub/subscriber.cc index ed167d78f097..89f9aca913c2 100644 --- a/src/ray/pubsub/subscriber.cc +++ b/src/ray/pubsub/subscriber.cc @@ -23,7 +23,7 @@ namespace ray { namespace pubsub { namespace { -const PublisherID kDefaultPublisherID{}; +const UniqueID kDefaultUniqueID{}; } /////////////////////////////////////////////////////////////////////////////// @@ -36,7 +36,7 @@ bool SubscriberChannel::Subscribe( SubscriptionItemCallback subscription_callback, SubscriptionFailureCallback subscription_failure_callback) { cum_subscribe_requests_++; - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); if (key_id) { return subscription_map_[publisher_id] @@ -59,7 +59,7 @@ bool SubscriberChannel::Subscribe( bool SubscriberChannel::Unsubscribe(const rpc::Address &publisher_address, const std::optional &key_id) { cum_unsubscribe_requests_++; - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); // Find subscription info. auto subscription_it = subscription_map_.find(publisher_id); @@ -94,7 +94,7 @@ bool SubscriberChannel::Unsubscribe(const rpc::Address &publisher_address, bool SubscriberChannel::IsSubscribed(const rpc::Address &publisher_address, const std::string &key_id) const { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); if (subscription_it == subscription_map_.end()) { return false; @@ -122,7 +122,7 @@ bool SubscriberChannel::CheckNoLeaks() const { void SubscriberChannel::HandlePublishedMessage(const rpc::Address &publisher_address, rpc::PubMessage &&pub_message) const { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); // If there's no more subscription, do nothing. if (subscription_it == subscription_map_.end()) { @@ -154,7 +154,7 @@ void SubscriberChannel::HandlePublishedMessage(const rpc::Address &publisher_add void SubscriberChannel::HandlePublisherFailure(const rpc::Address &publisher_address, const Status &status) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); const auto &subscription_it = subscription_map_.find(publisher_id); // If there's no more subscription, do nothing. if (subscription_it == subscription_map_.end()) { @@ -183,7 +183,7 @@ void SubscriberChannel::HandlePublisherFailure(const rpc::Address &publisher_add void SubscriberChannel::HandlePublisherFailure(const rpc::Address &publisher_address, const std::string &key_id) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); const auto &subscription_it = subscription_map_.find(publisher_id); // If there's no more subscription, do nothing. if (subscription_it == subscription_map_.end()) { @@ -279,7 +279,7 @@ bool Subscriber::Unsubscribe(const rpc::ChannelType channel_type, command->cmd.mutable_unsubscribe_message(); absl::MutexLock lock(&mutex_); - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); commands_[publisher_id].emplace(std::move(command)); SendCommandBatchIfPossible(publisher_address); @@ -294,7 +294,7 @@ bool Subscriber::UnsubscribeChannel(const rpc::ChannelType channel_type, command->cmd.mutable_unsubscribe_message(); absl::MutexLock lock(&mutex_); - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); commands_[publisher_id].emplace(std::move(command)); SendCommandBatchIfPossible(publisher_address); @@ -330,7 +330,7 @@ bool Subscriber::SubscribeInternal( command->cmd.mutable_subscribe_message()->Swap(sub_message.get()); } command->done_cb = std::move(subscribe_done_callback); - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); absl::MutexLock lock(&mutex_); commands_[publisher_id].emplace(std::move(command)); @@ -345,7 +345,7 @@ bool Subscriber::SubscribeInternal( void Subscriber::MakeLongPollingConnectionIfNotConnected( const rpc::Address &publisher_address) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto publishers_connected_it = publishers_connected_.find(publisher_id); if (publishers_connected_it == publishers_connected_.end()) { publishers_connected_.emplace(publisher_id); @@ -354,7 +354,7 @@ void Subscriber::MakeLongPollingConnectionIfNotConnected( } void Subscriber::MakeLongPollingPubsubConnection(const rpc::Address &publisher_address) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); RAY_LOG(DEBUG) << "Make a long polling request to " << publisher_id; auto subscriber_client = get_client_(publisher_address); rpc::PubsubLongPollingRequest long_polling_request; @@ -373,7 +373,7 @@ void Subscriber::MakeLongPollingPubsubConnection(const rpc::Address &publisher_a void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address, const Status &status, rpc::PubsubLongPollingReply &&reply) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); RAY_LOG(DEBUG) << "Long polling request has been replied from " << publisher_id; RAY_CHECK(publishers_connected_.count(publisher_id)); @@ -390,9 +390,9 @@ void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address commands_.erase(publisher_id); } else { RAY_CHECK(!reply.publisher_id().empty()) << "publisher_id is empty."; - auto reply_publisher_id = PublisherID::FromBinary(reply.publisher_id()); + auto reply_publisher_id = UniqueID::FromBinary(reply.publisher_id()); if (reply_publisher_id != processed_sequences_[publisher_id].first) { - if (processed_sequences_[publisher_id].first != kDefaultPublisherID) { + if (processed_sequences_[publisher_id].first != kDefaultUniqueID) { RAY_LOG(INFO) << "Received publisher_id " << reply_publisher_id.Hex() << " is different from last seen publisher_id " << processed_sequences_[publisher_id].first @@ -447,7 +447,7 @@ void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address } void Subscriber::SendCommandBatchIfPossible(const rpc::Address &publisher_address) { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto command_batch_sent_it = command_batch_sent_.find(publisher_id); // If there's no in flight command batch request to the publisher, diff --git a/src/ray/pubsub/subscriber.h b/src/ray/pubsub/subscriber.h index b76068c49775..0bdcdcb2674e 100644 --- a/src/ray/pubsub/subscriber.h +++ b/src/ray/pubsub/subscriber.h @@ -27,6 +27,7 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" +#include "ray/pubsub/subscriber_interface.h" #include "ray/rpc/client_call.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/pubsub.pb.h" @@ -35,17 +36,6 @@ namespace ray { namespace pubsub { -using SubscriberID = UniqueID; -using PublisherID = UniqueID; -using SubscribeDoneCallback = std::function; -using SubscriptionItemCallback = std::function; -using SubscriptionFailureCallback = - std::function; - -/////////////////////////////////////////////////////////////////////////////// -/// SubscriberChannel Abstraction -/////////////////////////////////////////////////////////////////////////////// - /// Subscription info stores metadata that is needed for subscriptions. struct SubscriptionInfo { SubscriptionInfo(SubscriptionItemCallback i_cb, SubscriptionFailureCallback f_cb) @@ -134,7 +124,7 @@ class SubscriberChannel { const std::string &key_id); /// Return true if the subscription exists for a given publisher id. - bool SubscriptionExists(const PublisherID &publisher_id) { + bool SubscriptionExists(const UniqueID &publisher_id) { return subscription_map_.contains(publisher_id); } @@ -156,7 +146,7 @@ class SubscriberChannel { /// subscribed. std::optional GetSubscriptionItemCallback( const rpc::Address &publisher_address, const std::string &key_id) const { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); if (subscription_it == subscription_map_.end()) { return absl::nullopt; @@ -175,7 +165,7 @@ class SubscriberChannel { /// subscribed. std::optional GetFailureCallback( const rpc::Address &publisher_address, const std::string &key_id) const { - const auto publisher_id = PublisherID::FromBinary(publisher_address.worker_id()); + const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); if (subscription_it == subscription_map_.end()) { return absl::nullopt; @@ -193,7 +183,7 @@ class SubscriberChannel { const rpc::ChannelType channel_type_; /// Mapping of the publisher ID -> subscription info for the publisher. - absl::flat_hash_map subscription_map_; + absl::flat_hash_map subscription_map_; /// An event loop to execute RPC callbacks. This should be equivalent to the client /// pool's io service. @@ -208,113 +198,6 @@ class SubscriberChannel { mutable uint64_t cum_processed_messages_ = 0; }; -/////////////////////////////////////////////////////////////////////////////// -/// Subscriber Abstraction -/////////////////////////////////////////////////////////////////////////////// - -/// Interface for the pubsub client. -class SubscriberInterface { - public: - /// There are two modes of subscriptions. Each channel can only be subscribed in one - /// mode, i.e. - /// - Calling Subscribe() to subscribe to one or more entities in a channel - /// - Calling SubscribeChannel() once to subscribe to all entities in a channel - /// It is an error to call both Subscribe() and SubscribeChannel() on the same channel - /// type. This restriction can be relaxed later, if there is a use case. - - /// Subscribe to entity key_id in channel channel_type. - /// NOTE(sang): All the callbacks could be executed in a different thread from a caller. - /// For example, Subscriber executes callbacks on a passed io_service. - /// - /// \param sub_message The subscription message. - /// \param channel_type The channel to subscribe to. - /// \param publisher_address Address of the publisher to subscribe the object. - /// \param key_id The entity id to subscribe from the publisher. - /// \param subscription_callback A callback that is invoked whenever the given entity - /// information is received by the subscriber. - /// \param subscription_failure_callback A callback that is invoked whenever the - /// connection to publisher is broken (e.g. the publisher fails). - /// \return True if inserted, false if the key already exists and this becomes a no-op. - [[nodiscard]] virtual bool Subscribe( - std::unique_ptr sub_message, - rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) = 0; - - /// Subscribe to all entities in channel channel_type. - /// - /// \param sub_message The subscription message. - /// \param channel_type The channel to subscribe to. - /// \param publisher_address Address of the publisher to subscribe the object. - /// \param subscription_callback A callback that is invoked whenever an entity - /// information is received by the subscriber. - /// \param subscription_failure_callback A callback that is invoked whenever the - /// connection to publisher is broken (e.g. the publisher fails). - /// \return True if inserted, false if the channel is already subscribed and this - /// becomes a no-op. - [[nodiscard]] virtual bool SubscribeChannel( - std::unique_ptr sub_message, - rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) = 0; - - /// Unsubscribe the entity if the entity has been subscribed with Subscribe(). - /// NOTE: Calling this method inside subscription_failure_callback is not allowed. - /// - /// \param channel_type The channel to unsubscribe from. - /// \param publisher_address The publisher address that it will unsubscribe from. - /// \param key_id The entity id to unsubscribe. - /// \return Returns whether the entity key_id has been subscribed before. - virtual bool Unsubscribe(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id) = 0; - - /// Unsubscribe from the channel_type. Must be paired with SubscribeChannel(). - /// NOTE: Calling this method inside subscription_failure_callback is not allowed. - /// - /// \param channel_type The channel to unsubscribe from. - /// \param publisher_address The publisher address that it will unsubscribe from. - /// \return Returns whether the entity key_id has been subscribed before. - virtual bool UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) = 0; - - /// Test only. - /// Checks if the entity key_id is being subscribed to specifically. - /// Does not consider if SubscribeChannel() has been called on the channel. - /// - /// \param publisher_address The publisher address to check. - /// \param key_id The entity id to check. - [[nodiscard]] virtual bool IsSubscribed(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id) const = 0; - - /// Return the statistics string for the subscriber. - virtual std::string DebugString() const = 0; - - virtual ~SubscriberInterface() {} -}; - -/// The grpc client that the subscriber needs. -class SubscriberClientInterface { - public: - /// Send a long polling request to a core worker for pubsub operations. - virtual void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, - const rpc::ClientCallback &callback) = 0; - - /// Send a pubsub command batch request to a core worker for pubsub operations. - virtual void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, - const rpc::ClientCallback &callback) = 0; - - virtual ~SubscriberClientInterface() = default; -}; - /// The pubsub client implementation. The class is thread-safe. /// /// Protocol details: @@ -332,7 +215,7 @@ class SubscriberClientInterface { class Subscriber : public SubscriberInterface { public: Subscriber( - const SubscriberID subscriber_id, + const UniqueID subscriber_id, const std::vector &channels, const int64_t max_command_batch_size, std::function(const rpc::Address &)> @@ -454,7 +337,7 @@ class Subscriber : public SubscriberInterface { ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); /// Return true if the given publisher id has subscription to any of channel. - bool SubscriptionExists(const PublisherID &publisher_id) + bool SubscriptionExists(const UniqueID &publisher_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_) { return std::any_of(channels_.begin(), channels_.end(), [publisher_id](const auto &p) { return p.second->SubscriptionExists(publisher_id); @@ -462,7 +345,7 @@ class Subscriber : public SubscriberInterface { } /// Self node's identifying information. - const SubscriberID subscriber_id_; + const UniqueID subscriber_id_; /// The command batch size for the subscriber. const int64_t max_command_batch_size_; @@ -483,14 +366,14 @@ class Subscriber : public SubscriberInterface { SubscribeDoneCallback done_cb; }; using CommandQueue = std::queue>; - absl::flat_hash_map commands_ ABSL_GUARDED_BY(mutex_); + absl::flat_hash_map commands_ ABSL_GUARDED_BY(mutex_); /// A set to cache the connected publisher ids. "Connected" means the long polling /// request is in flight. - absl::flat_hash_set publishers_connected_ ABSL_GUARDED_BY(mutex_); + absl::flat_hash_set publishers_connected_ ABSL_GUARDED_BY(mutex_); /// A set to keep track of in-flight command batch requests - absl::flat_hash_set command_batch_sent_ ABSL_GUARDED_BY(mutex_); + absl::flat_hash_set command_batch_sent_ ABSL_GUARDED_BY(mutex_); /// Mapping of channel type to channels. absl::flat_hash_map> channels_ @@ -498,7 +381,7 @@ class Subscriber : public SubscriberInterface { /// Keeps track of last processed by publisher. /// Note the publisher_id only change if gcs failover. - absl::flat_hash_map> processed_sequences_ + absl::flat_hash_map> processed_sequences_ ABSL_GUARDED_BY(mutex_); }; diff --git a/src/ray/pubsub/subscriber_interface.h b/src/ray/pubsub/subscriber_interface.h new file mode 100644 index 000000000000..42d8fbfeac8c --- /dev/null +++ b/src/ray/pubsub/subscriber_interface.h @@ -0,0 +1,142 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include +#include +#include + +#include "ray/common/id.h" +#include "ray/rpc/client_call.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/pubsub.pb.h" + +namespace ray { + +namespace pubsub { + +using SubscribeDoneCallback = std::function; +using SubscriptionItemCallback = std::function; +using SubscriptionFailureCallback = + std::function; + +/// Interface for a subscriber to one or more pubsub channels from a publisher. +class SubscriberInterface { + public: + /// There are two modes of subscriptions. Each channel can only be subscribed in one + /// mode, i.e. + /// - Calling Subscribe() to subscribe to one or more entities in a channel + /// - Calling SubscribeChannel() once to subscribe to all entities in a channel + /// It is an error to call both Subscribe() and SubscribeChannel() on the same channel + /// type. This restriction can be relaxed later, if there is a use case. + + /// Subscribe to entity key_id in channel channel_type. + /// NOTE(sang): All the callbacks could be executed in a different thread from a caller. + /// For example, Subscriber executes callbacks on a passed io_service. + /// + /// \param sub_message The subscription message. + /// \param channel_type The channel to subscribe to. + /// \param publisher_address Address of the publisher to subscribe the object. + /// \param key_id The entity id to subscribe from the publisher. + /// \param subscription_callback A callback that is invoked whenever the given entity + /// information is received by the subscriber. + /// \param subscription_failure_callback A callback that is invoked whenever the + /// connection to publisher is broken (e.g. the publisher fails). + /// \return True if inserted, false if the key already exists and this becomes a no-op. + virtual bool Subscribe(std::unique_ptr sub_message, + rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::string &key_id, + SubscribeDoneCallback subscribe_done_callback, + SubscriptionItemCallback subscription_callback, + SubscriptionFailureCallback subscription_failure_callback) = 0; + + /// Subscribe to all entities in channel channel_type. + /// + /// \param sub_message The subscription message. + /// \param channel_type The channel to subscribe to. + /// \param publisher_address Address of the publisher to subscribe the object. + /// \param subscription_callback A callback that is invoked whenever an entity + /// information is received by the subscriber. + /// \param subscription_failure_callback A callback that is invoked whenever the + /// connection to publisher is broken (e.g. the publisher fails). + /// \return True if inserted, false if the channel is already subscribed and this + /// becomes a no-op. + virtual bool SubscribeChannel( + std::unique_ptr sub_message, + rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + SubscribeDoneCallback subscribe_done_callback, + SubscriptionItemCallback subscription_callback, + SubscriptionFailureCallback subscription_failure_callback) = 0; + + /// Unsubscribe the entity if the entity has been subscribed with Subscribe(). + /// NOTE: Calling this method inside subscription_failure_callback is not allowed. + /// + /// \param channel_type The channel to unsubscribe from. + /// \param publisher_address The publisher address that it will unsubscribe from. + /// \param key_id The entity id to unsubscribe. + /// \return Returns whether the entity key_id has been subscribed before. + virtual bool Unsubscribe(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::string &key_id) = 0; + + /// Unsubscribe from the channel_type. Must be paired with SubscribeChannel(). + /// NOTE: Calling this method inside subscription_failure_callback is not allowed. + /// + /// \param channel_type The channel to unsubscribe from. + /// \param publisher_address The publisher address that it will unsubscribe from. + /// \return Returns whether the entity key_id has been subscribed before. + virtual bool UnsubscribeChannel(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address) = 0; + + /// Test only. + /// Checks if the entity key_id is being subscribed to specifically. + /// Does not consider if SubscribeChannel() has been called on the channel. + /// + /// \param publisher_address The publisher address to check. + /// \param key_id The entity id to check. + virtual bool IsSubscribed(const rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::string &key_id) const = 0; + + virtual std::string DebugString() const = 0; + + virtual ~SubscriberInterface() {} +}; + +/// Interface for the client used by a subscriber. +class SubscriberClientInterface { + public: + /// Send a long polling request to a publisher. + virtual void PubsubLongPolling( + const rpc::PubsubLongPollingRequest &request, + const rpc::ClientCallback &callback) = 0; + + /// Send a pubsub command batch to a publisher. + virtual void PubsubCommandBatch( + const rpc::PubsubCommandBatchRequest &request, + const rpc::ClientCallback &callback) = 0; + + virtual std::string DebugString() const = 0; + + virtual ~SubscriberClientInterface() = default; +}; + +} // namespace pubsub + +} // namespace ray diff --git a/src/ray/pubsub/tests/integration_test.cc b/src/ray/pubsub/tests/integration_test.cc index 35a7f338b0b5..5dc62b32cb6b 100644 --- a/src/ray/pubsub/tests/integration_test.cc +++ b/src/ray/pubsub/tests/integration_test.cc @@ -132,6 +132,8 @@ class CallbackSubscriberClient final : public pubsub::SubscriberClientInterface }); } + std::string DebugString() const { return ""; } + private: std::unique_ptr stub_; }; diff --git a/src/ray/pubsub/tests/publisher_test.cc b/src/ray/pubsub/tests/publisher_test.cc index 4d225ba75d28..4ce919eb94e8 100644 --- a/src/ray/pubsub/tests/publisher_test.cc +++ b/src/ray/pubsub/tests/publisher_test.cc @@ -88,8 +88,8 @@ class PublisherTest : public ::testing::Test { return pub_message; } - bool HasSubscriber(const std::vector &subscribers, - const SubscriberID &subscriber) { + bool HasSubscriber(const std::vector &subscribers, + const UniqueID &subscriber) { return std::find(subscribers.begin(), subscribers.end(), subscriber) != subscribers.end(); } @@ -131,7 +131,7 @@ class PublisherTest : public ::testing::Test { absl::flat_hash_map> subscribers_map_; const uint64_t subscriber_timeout_ms_ = 30000; double current_time_; - const SubscriberID subscriber_id_ = SubscriberID::FromRandom(); + const UniqueID subscriber_id_ = UniqueID::FromRandom(); rpc::PubsubLongPollingRequest request_; std::vector> subscribers_; int64_t sequence_id_ = 0; @@ -283,7 +283,7 @@ TEST_F(PublisherTest, TestSubscriptionIndexEraseSubscriber) { SubscriptionIndex subscription_index(rpc::ChannelType::RAY_ERROR_INFO_CHANNEL); auto oid = ObjectID::FromRandom(); auto &subscribers = subscribers_map_[oid]; - std::vector subscriber_ids; + std::vector subscriber_ids; // Add entries. for (int i = 0; i < 6; i++) { diff --git a/src/ray/pubsub/tests/subscriber_test.cc b/src/ray/pubsub/tests/subscriber_test.cc index 6d0b55ae8438..e926cbaf48e7 100644 --- a/src/ray/pubsub/tests/subscriber_test.cc +++ b/src/ray/pubsub/tests/subscriber_test.cc @@ -121,6 +121,8 @@ class MockWorkerClient : public pubsub::SubscriberClientInterface { int GetNumberOfInFlightLongPollingRequests() { return long_polling_callbacks.size(); } + std::string DebugString() const override { return ""; } + ~MockWorkerClient(){}; std::deque> long_polling_callbacks; @@ -128,7 +130,7 @@ class MockWorkerClient : public pubsub::SubscriberClientInterface { std::queue requests_; int64_t sequence_id_ = 0; int64_t max_processed_sequence_id_ = 0; - std::string publisher_id_ = pubsub::PublisherID::FromRandom().Binary(); + std::string publisher_id_ = UniqueID::FromRandom().Binary(); }; namespace pubsub { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index dba01e0a56da..0dad9cb2d129 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -164,7 +164,7 @@ ray_cc_library( "//src/ray/object_manager:object_directory", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/pubsub:subscriber", + "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:core_worker_client", ], ) diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index e9cef263b973..80bf496eda1d 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -26,7 +26,7 @@ #include "ray/gcs/gcs_client/accessor.h" #include "ray/object_manager/common.h" #include "ray/object_manager/object_directory.h" -#include "ray/pubsub/subscriber.h" +#include "ray/pubsub/subscriber_interface.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 71350f2d30ad..eb558ec5c368 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -179,6 +179,7 @@ ray_cc_test( ":util", "//:ray_fakes", "//:ray_mock", + "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:ray_object", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/raylet:local_object_manager_interface", diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index cab4480b0c98..1ad30728cf62 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -192,6 +192,8 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { virtual void FreeActorObject(const FreeActorObjectRequest &request, const ClientCallback &callback) {} + virtual std::string DebugString() const { return ""; } + virtual ~CoreWorkerClientInterface() = default; }; @@ -369,6 +371,8 @@ class CoreWorkerClient : public std::enable_shared_from_this, CoreWorkerService, NumPendingTasks, *request, callback, grpc_client_, timeout_ms); } + std::string DebugString() const override { return ""; } + /// Send as many pending tasks as possible. This method is thread-safe. /// /// The client will guarantee no more than kMaxBytesInFlight bytes of RPCs are being From 2680271761035f215484fbe5ec7b8404bfa9080d Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 18 Aug 2025 17:32:25 -0500 Subject: [PATCH 0755/1566] [core] Remove unnecessary dependency of raylet->gcs (#55710) The raylet binary was depending on all of the `gcs/` directory for absolutely no reason :( --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 0dad9cb2d129..6c3669449f46 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -112,6 +112,7 @@ ray_cc_library( "//src/ray/common:runtime_env", "//src/ray/common:status", "//src/ray/common:task_common", + "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", "//src/ray/util:network_util", @@ -225,7 +226,6 @@ ray_cc_library( "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/gcs", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager", "//src/ray/object_manager:ownership_object_directory", From 06cdc67a9e7b2a9cad36cc73cd000eab360765d1 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Mon, 18 Aug 2025 15:39:46 -0700 Subject: [PATCH 0756/1566] [core] Not overriding accelerator id env vars when num_accelerators is 0 or not set (#54928) Signed-off-by: Douglas Strodtman --- python/ray/_private/accelerators/__init__.py | 6 ++- .../ray/_private/accelerators/accelerator.py | 13 +++++ python/ray/_private/utils.py | 39 ++++++++++++-- python/ray/_private/worker.py | 14 +++++ python/ray/_raylet.pyx | 24 +++++---- python/ray/tests/test_basic.py | 53 +++++++++++++++++++ 6 files changed, 133 insertions(+), 16 deletions(-) diff --git a/python/ray/_private/accelerators/__init__.py b/python/ray/_private/accelerators/__init__.py index 003074ad71fb..4cb14fef7956 100644 --- a/python/ray/_private/accelerators/__init__.py +++ b/python/ray/_private/accelerators/__init__.py @@ -1,6 +1,9 @@ from typing import Optional, Set -from ray._private.accelerators.accelerator import AcceleratorManager +from ray._private.accelerators.accelerator import ( + RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO_ENV_VAR, + AcceleratorManager, +) from ray._private.accelerators.amd_gpu import AMDGPUAcceleratorManager from ray._private.accelerators.hpu import HPUAcceleratorManager from ray._private.accelerators.intel_gpu import IntelGPUAcceleratorManager @@ -77,4 +80,5 @@ def get_accelerator_manager_for_resource( "get_all_accelerator_managers", "get_all_accelerator_resource_names", "get_accelerator_manager_for_resource", + "RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO_ENV_VAR", ] diff --git a/python/ray/_private/accelerators/accelerator.py b/python/ray/_private/accelerators/accelerator.py index a2cd98565fd2..4b5332cb8a07 100644 --- a/python/ray/_private/accelerators/accelerator.py +++ b/python/ray/_private/accelerators/accelerator.py @@ -1,6 +1,19 @@ from abc import ABC, abstractmethod from typing import Dict, List, Optional, Tuple +# https://github.com/ray-project/ray/issues/54868 +# In the future, ray will avoid overriding the accelerator ids environment variables +# when the number of accelerators is zero. +# For example, when this environment variable is set, if a user sets `num_gpus=0` +# in the `ray.init()` call, the environment variable `CUDA_VISIBLE_DEVICES` will +# not be set to an empty string. +# +# This environment variable is used to disable this behavior temporarily. +# And to avoid breaking changes, this environment variable is set to True by default +# to follow the previous behavior. +# +RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO_ENV_VAR = "RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO" + class AcceleratorManager(ABC): """This class contains all the functions needed for supporting diff --git a/python/ray/_private/utils.py b/python/ray/_private/utils.py index 84ab89094544..9204f46b6463 100644 --- a/python/ray/_private/utils.py +++ b/python/ray/_private/utils.py @@ -266,18 +266,46 @@ def set_omp_num_threads_if_unset() -> bool: return True -def set_visible_accelerator_ids() -> None: +def set_visible_accelerator_ids() -> Mapping[str, Optional[str]]: """Set (CUDA_VISIBLE_DEVICES, ONEAPI_DEVICE_SELECTOR, HIP_VISIBLE_DEVICES, NEURON_RT_VISIBLE_CORES, TPU_VISIBLE_CHIPS , HABANA_VISIBLE_MODULES ,...) - environment variables based on the accelerator runtime. + environment variables based on the accelerator runtime. Return the original + environment variables. """ + from ray._private.ray_constants import env_bool + + original_visible_accelerator_env_vars = {} + override_on_zero = env_bool( + ray._private.accelerators.RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO_ENV_VAR, + True, + ) for resource_name, accelerator_ids in ( ray.get_runtime_context().get_accelerator_ids().items() ): + # If no accelerator ids are set, skip overriding the environment variable. + if not override_on_zero and len(accelerator_ids) == 0: + continue + env_var = ray._private.accelerators.get_accelerator_manager_for_resource( + resource_name + ).get_visible_accelerator_ids_env_var() + original_visible_accelerator_env_vars[env_var] = os.environ.get(env_var, None) ray._private.accelerators.get_accelerator_manager_for_resource( resource_name ).set_current_process_visible_accelerator_ids(accelerator_ids) + return original_visible_accelerator_env_vars + + +def reset_visible_accelerator_env_vars( + original_visible_accelerator_env_vars: Mapping[str, Optional[str]] +) -> None: + """Reset the visible accelerator env vars to the original values.""" + for env_var, env_value in original_visible_accelerator_env_vars.items(): + if env_value is None: + os.environ.pop(env_var, None) + else: + os.environ[env_var] = env_value + class Unbuffered(object): """There's no "built-in" solution to programatically disabling buffering of @@ -342,9 +370,10 @@ def _get_docker_cpus( # See: https://bugs.openjdk.java.net/browse/JDK-8146115 if os.path.exists(cpu_quota_file_name) and os.path.exists(cpu_period_file_name): try: - with open(cpu_quota_file_name, "r") as quota_file, open( - cpu_period_file_name, "r" - ) as period_file: + with ( + open(cpu_quota_file_name, "r") as quota_file, + open(cpu_period_file_name, "r") as period_file, + ): cpu_quota = float(quota_file.read()) / float(period_file.read()) except Exception: logger.exception("Unexpected error calculating docker cpu quota.") diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index d81789c60f89..05e8b44f9220 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1979,6 +1979,20 @@ def sigterm_handler(signum, frame): for hook in _post_init_hooks: hook() + # Check and show accelerator override warning during driver initialization + from ray._private.ray_constants import env_bool + + override_on_zero = env_bool( + ray._private.accelerators.RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO_ENV_VAR, + True, + ) + if override_on_zero and log_once("ray_accel_env_var_override_on_zero"): + logger.warning( + "Tip: In future versions of Ray, Ray will no longer override accelerator " + "visible devices env var if num_gpus=0 or num_gpus=None (default). To enable " + "this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0" + ) + node_id = global_worker.core_worker.get_current_node_id() global_node_address_info = _global_node.address_info.copy() global_node_address_info["webui_url"] = _remove_protocol_from_url(dashboard_url) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index fa06590fd21e..821b994cfdb7 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2179,16 +2179,15 @@ cdef execute_task_with_cancellation_handler( title = f"ray::{task_name}" # Automatically restrict the GPUs (CUDA), neuron_core, TPU accelerator - # runtime_ids to restrict availability to this task. + # runtime_ids, OMP_NUM_THREADS to restrict availability to this task. # Once actor is created, users can change the visible accelerator ids within # an actor task and we don't want to reset it. if (task_type != TASK_TYPE_ACTOR_TASK): - ray._private.utils.set_visible_accelerator_ids() - - # Automatically configure OMP_NUM_THREADS to the assigned CPU number. - # It will be unset after the task execution if it was overwridden here. - # No-op if already set. - omp_num_threads_overriden = ray._private.utils.set_omp_num_threads_if_unset() + original_visible_accelerator_env_vars = ray._private.utils.set_visible_accelerator_ids() + omp_num_threads_overriden = ray._private.utils.set_omp_num_threads_if_unset() + else: + original_visible_accelerator_env_vars = None + omp_num_threads_overriden = False # Initialize the actor if this is an actor creation task. We do this here # before setting the current task ID so that we can get the execution info, @@ -2289,9 +2288,14 @@ cdef execute_task_with_cancellation_handler( with current_task_id_lock: current_task_id = None - if omp_num_threads_overriden: - # Reset the OMP_NUM_THREADS environ if it was set. - os.environ.pop("OMP_NUM_THREADS", None) + if (task_type == TASK_TYPE_NORMAL_TASK): + if original_visible_accelerator_env_vars: + # Reset the visible accelerator env vars for normal tasks, since they may be reused. + ray._private.utils.reset_visible_accelerator_env_vars(original_visible_accelerator_env_vars) + if omp_num_threads_overriden: + # Reset the OMP_NUM_THREADS environ if it was set. + os.environ.pop("OMP_NUM_THREADS", None) + if execution_info.max_calls != 0: # Reset the state of the worker for the next task to execute. diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index a43312247687..6300b1e7aa1a 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -657,6 +657,59 @@ def check(): ) +# https://github.com/ray-project/ray/issues/54868 +def test_not_override_accelerator_ids_when_num_accelerators_is_zero(): + not_override_check_script = """ +import ray +ray.init() + + +@ray.remote(num_gpus=0) +def check(): + import os + assert "CUDA_VISIBLE_DEVICES" not in os.environ + +@ray.remote(num_gpus=0) +class Actor: + def check(self): + import os + assert "CUDA_VISIBLE_DEVICES" not in os.environ + +print("task check", ray.get(check.remote())) +print("actor check", ray.get(Actor.options(num_gpus=0).remote().check.remote())) +""" + + run_string_as_driver( + not_override_check_script, + dict( + os.environ, + **{"RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO": "0"}, + ), + ) + + override_check_script = """ +import ray +ray.init() + + +@ray.remote(num_gpus=0) +def check(): + import os + assert os.environ.get("CUDA_VISIBLE_DEVICES") == "" + +@ray.remote(num_gpus=0) +class Actor: + def check(self): + import os + assert os.environ.get("CUDA_VISIBLE_DEVICES") == "" + +print("task check", ray.get(check.remote())) +print("actor check", ray.get(Actor.options(num_gpus=0).remote().check.remote())) +""" + + run_string_as_driver(override_check_script) + + def test_put_get(shutdown_only): ray.init(num_cpus=0) From e5ac5fcbe7afdf6a1b5628fa1d4a90017d56ea2a Mon Sep 17 00:00:00 2001 From: vincenthhan <46981434+BestVIncent@users.noreply.github.com> Date: Tue, 19 Aug 2025 07:18:28 +0800 Subject: [PATCH 0757/1566] [llm] support custom s3 endpoint when downloading models from remote (#55458) Signed-off-by: vincenthhan Co-authored-by: vincenthhan Signed-off-by: Douglas Strodtman --- python/ray/llm/_internal/common/utils/cloud_utils.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/_internal/common/utils/cloud_utils.py b/python/ray/llm/_internal/common/utils/cloud_utils.py index f654e044cd6e..209b3a30ec15 100644 --- a/python/ray/llm/_internal/common/utils/cloud_utils.py +++ b/python/ray/llm/_internal/common/utils/cloud_utils.py @@ -148,7 +148,13 @@ def get_fs_and_path(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: object_uri = f"{scheme}://{parts[1]}" if object_uri.startswith("s3://"): - fs = pa_fs.S3FileSystem(anonymous=anonymous) + endpoint = os.getenv("AWS_ENDPOINT_URL_S3", None) + virtual_hosted_style = os.getenv("AWS_S3_ADDRESSING_STYLE", None) + fs = pa_fs.S3FileSystem( + anonymous=anonymous, + endpoint_override=endpoint, + force_virtual_addressing=(virtual_hosted_style == "virtual"), + ) path = object_uri[5:] # Remove "s3://" elif object_uri.startswith("gs://"): fs = pa_fs.GcsFileSystem(anonymous=anonymous) From 8a5931445eec19fb878751e831d1001b734822ff Mon Sep 17 00:00:00 2001 From: Jeffrey Wang Date: Mon, 18 Aug 2025 16:19:27 -0700 Subject: [PATCH 0758/1566] [data.llm] Adjust LLM engine timing logic (#55595) Signed-off-by: jeffreyjeffreywang Co-authored-by: jeffreyjeffreywang Signed-off-by: Douglas Strodtman --- .../batch/stages/sglang_engine_stage.py | 20 ++++++++++--------- .../batch/stages/vllm_engine_stage.py | 20 ++++++++++--------- .../gpu/stages/test_sglang_engine_stage.py | 4 +++- .../gpu/stages/test_vllm_engine_stage.py | 13 ++++++++---- 4 files changed, 34 insertions(+), 23 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/sglang_engine_stage.py b/python/ray/llm/_internal/batch/stages/sglang_engine_stage.py index a49ef7c18bce..f140b666b15d 100644 --- a/python/ray/llm/_internal/batch/stages/sglang_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/sglang_engine_stage.py @@ -177,22 +177,25 @@ async def _prepare_llm_request(self, row: Dict[str, Any]) -> SGLangEngineRequest async def generate_async( self, row: Dict[str, Any] - ) -> Tuple[SGLangEngineRequest, Dict[str, Any]]: + ) -> Tuple[SGLangEngineRequest, Dict[str, Any], float]: """Process a single request. Args: request: The request. Returns: - A tuple of index in batch, request output and bypassed custom fields. + A tuple of index in batch, request output and bypassed custom fields, and time taken. """ request = await self._prepare_llm_request(row) + t = time.perf_counter() async with self.semaphore: output = await self._generate_async(request) + time_taken = time.perf_counter() - t + output_data = SGLangOutputData.from_sglang_engine_output(output) - return request, output_data.model_dump() + return request, output_data.model_dump(), time_taken async def _generate_async(self, request: SGLangEngineRequest) -> Any: """Process a single request. @@ -321,29 +324,28 @@ async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any] The response of the SGLang engine. """ batch_uuid = uuid.uuid4() - t = time.perf_counter() + batch_start_time = time.perf_counter() tasks = [asyncio.create_task(self.llm.generate_async(row)) for row in batch] - time_taken = -1.0 for resp in asyncio.as_completed(tasks): - request, output = await resp - time_taken = time.perf_counter() - t + request, output, time_taken_llm = await resp yield { **output, "request_id": request.request_id, self.IDX_IN_BATCH_COLUMN: request.idx_in_batch, "batch_uuid": batch_uuid.hex, - "time_taken_llm": time_taken, + "time_taken_llm": time_taken_llm, "params": str(request.params), } + batch_time_taken = time.perf_counter() - batch_start_time logger.info( "[SGLang] Elapsed time for batch %s with size %d: %s", batch_uuid.hex, len(batch), - time_taken, + batch_time_taken, ) def __del__(self): diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index 481da600da7b..5395e448621e 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -302,22 +302,25 @@ async def _prepare_llm_request(self, row: Dict[str, Any]) -> vLLMEngineRequest: async def generate_async( self, row: Dict[str, Any] - ) -> Tuple[vLLMEngineRequest, Dict[str, Any]]: + ) -> Tuple[vLLMEngineRequest, Dict[str, Any], float]: """Process a single request. Args: request: The request. Returns: - A tuple of index in batch, request output and bypassed custom fields. + A tuple of index in batch, request output and bypassed custom fields, and time taken. """ request = await self._prepare_llm_request(row) + t = time.perf_counter() async with self.semaphore: output = await self._generate_async(request) + time_taken = time.perf_counter() - t + output_data = vLLMOutputData.from_vllm_engine_output(output) - return request, output_data.model_dump() + return request, output_data.model_dump(), time_taken async def generate_async_v0(self, request: vLLMEngineRequest) -> Any: """Process a single request. @@ -539,31 +542,30 @@ async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any] The response of the vLLM engine. """ batch_uuid = uuid.uuid4() - t = time.perf_counter() + batch_start_time = time.perf_counter() tasks = [asyncio.create_task(self.llm.generate_async(row)) for row in batch] - time_taken = -1.0 for resp in asyncio.as_completed(tasks): - request, output = await resp - time_taken = time.perf_counter() - t + request, output, time_taken_llm = await resp yield { **output, "request_id": request.request_id, self.IDX_IN_BATCH_COLUMN: request.idx_in_batch, "batch_uuid": batch_uuid.hex, - "time_taken_llm": time_taken, + "time_taken_llm": time_taken_llm, "params": str(request.params), } + batch_time_taken = time.perf_counter() - batch_start_time # TODO: Add metrics to the UDf wrapper so that we don't need # timer in UDFs anymore. logger.info( "[vLLM] Elapsed time for batch %s with size %d: %s", batch_uuid.hex, len(batch), - time_taken, + batch_time_taken, ) # Log engine stats after each batch is done conditioned on the flag diff --git a/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py index 9f0d3a453f0f..f23dcd98c40c 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_sglang_engine_stage.py @@ -42,6 +42,7 @@ async def mock_generate(row): "generated_text": f"Response to: {row['prompt']}", "num_generated_tokens": 3, }, + 0.1, # time_taken_llm ) mock_instance.generate_async.side_effect = mock_generate @@ -226,9 +227,10 @@ async def test_sglang_wrapper( assert mock_generate_async.call_count == batch_size # Verify the outputs match expected values - for i, (request, output) in enumerate(results): + for i, (request, output, time_taken_llm) in enumerate(results): assert output["prompt"] == f"Test {i}" assert output["num_generated_tokens"] == i + 5 # max_new_tokens we set + assert time_taken_llm > 0 @pytest.mark.asyncio diff --git a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py index 8e165fadbb7e..d05805f13eea 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py @@ -46,6 +46,7 @@ async def mock_generate(row): "num_generated_tokens": 3, "time_per_token": 0.1, }, + 0.1, # time_taken_llm ) mock_instance.generate_async.side_effect = mock_generate @@ -298,10 +299,11 @@ async def test_vllm_wrapper_generate(model_llama_3_2_216M): tasks = [asyncio.create_task(wrapper.generate_async(row)) for row in batch] for resp in asyncio.as_completed(tasks): - request, output = await resp + request, output, time_taken_llm = await resp params = request.params max_tokens = params.max_tokens assert max_tokens == output["num_generated_tokens"] + assert time_taken_llm > 0 # Clean up GPU memory wrapper.shutdown() @@ -332,8 +334,9 @@ async def test_vllm_wrapper_embed(model_opt_125m): tasks = [asyncio.create_task(wrapper.generate_async(row)) for row in batch] for resp in asyncio.as_completed(tasks): - _, output = await resp + _, output, time_taken_llm = await resp assert output["embeddings"].shape == (768,) + assert time_taken_llm > 0 # Clean up GPU memory wrapper.shutdown() @@ -380,10 +383,11 @@ async def test_vllm_wrapper_lora(model_llama_3_2_216M, model_llama_3_2_216M_lora tasks = [asyncio.create_task(wrapper.generate_async(row)) for row in batch] for resp in asyncio.as_completed(tasks): - request, output = await resp + request, output, time_taken_llm = await resp params = request.params max_tokens = params.max_tokens assert max_tokens == output["num_generated_tokens"] + assert time_taken_llm > 0 # Clean up GPU memory wrapper.shutdown() @@ -430,12 +434,13 @@ class AnswerModel(BaseModel): tasks = [asyncio.create_task(wrapper.generate_async(row)) for row in batch] for resp in asyncio.as_completed(tasks): - _, output = await resp + _, output, time_taken_llm = await resp json_obj = json.loads(output["generated_text"]) assert "answer" in json_obj assert isinstance(json_obj["answer"], int) assert "explain" in json_obj assert isinstance(json_obj["explain"], str) + assert time_taken_llm > 0 # Clean up GPU memory wrapper.shutdown() From 2ce9b2cc0fc7b36b2267fcf87eb8cedd9d0c4fdd Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 18 Aug 2025 16:46:06 -0700 Subject: [PATCH 0759/1566] [image] refactor apt package installation (#55701) avoid reinstalling packages that are already installed in the base image also rename the saved requirements file to `extra-test-requirements.txt` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-extra/Dockerfile | 17 ++++++++++++++++- release/ray_release/byod/byod.Dockerfile | 21 +++++++++------------ 2 files changed, 25 insertions(+), 13 deletions(-) diff --git a/docker/base-extra/Dockerfile b/docker/base-extra/Dockerfile index cf286db30a69..02b851b2f594 100644 --- a/docker/base-extra/Dockerfile +++ b/docker/base-extra/Dockerfile @@ -41,8 +41,23 @@ wget -O - https://packages.cloud.google.com/apt/doc/apt-key.gpg \ | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - # Add gdb since ray dashboard uses `memray attach`, which requires gdb. + +APT_PKGS=( + google-cloud-sdk + supervisor + vim + zsh + nfs-common + zip + unzip + build-essential + ssh + curl + gdb +) + sudo apt-get update -y -sudo apt-get install -y google-cloud-sdk supervisor vim zsh nfs-common zip unzip build-essential ssh curl gdb +sudo apt-get install -y "${APT_PKGS[@]}" sudo apt-get autoclean # Install azcopy diff --git a/release/ray_release/byod/byod.Dockerfile b/release/ray_release/byod/byod.Dockerfile index 91a5117575ed..ce8c2a8080ca 100644 --- a/release/ray_release/byod/byod.Dockerfile +++ b/release/ray_release/byod/byod.Dockerfile @@ -6,38 +6,35 @@ FROM "$BASE_IMAGE" ARG PIP_REQUIREMENTS +COPY "$PIP_REQUIREMENTS" extra-test-requirements.txt + RUN < Date: Mon, 18 Aug 2025 21:36:12 -0700 Subject: [PATCH 0760/1566] [Serve.llm] Support colocating local DP ranks in DPRankAssigner (#55720) Signed-off-by: Rui Qiao Signed-off-by: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../data_parallel/dp_rank_assigner.py | 105 ++++++++++++++++-- .../deployments/data_parallel/dp_server.py | 15 ++- 2 files changed, 110 insertions(+), 10 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py index f48496796e4d..ac65ba259216 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_rank_assigner.py @@ -1,7 +1,11 @@ import asyncio +import logging +from typing import Dict, List, Optional from ray import serve +logger = logging.getLogger(__name__) + @serve.deployment(num_replicas=1) class DPRankAssigner: @@ -12,15 +16,70 @@ class DPRankAssigner: deployment. """ - def __init__(self, dp_size: int): - self.dp_size = dp_size - self.lock = asyncio.Lock() - self.next_rank = 0 - self.dp_address = None - self.dp_rpc_port = None - self.master_info_event = asyncio.Event() + def __init__(self, dp_size: int, dp_size_per_node: Optional[int] = None): + self.dp_size: int = dp_size + self.dp_size_per_node: Optional[int] = dp_size_per_node + self.lock: asyncio.Lock = asyncio.Lock() + self.dp_address: Optional[str] = None + self.dp_rpc_port: Optional[int] = None + self.master_info_event: asyncio.Event = asyncio.Event() + + # Fields for _register_random_placement(): + # Next rank to assign + self.next_rank: Optional[int] = None + + # Fields for _register_node_pack_placement(): + # Number of nodes to assign to + self.num_nodes: Optional[int] = None + # Map from node id to available ranks + self.node_to_avail_ranks: Dict[str, List[int]] = {} + + if dp_size_per_node is None: + self.next_rank = 0 + logger.info( + f"Using random placement rank assigner for DP size {self.dp_size}" + ) + else: + if self.dp_size_per_node <= 0: + raise ValueError( + f"dp_size_per_node {self.dp_size_per_node} must be greater than 0" + ) + if self.dp_size % self.dp_size_per_node != 0: + raise ValueError( + f"dp_size {self.dp_size} must be divisible by dp_size_per_node {self.dp_size_per_node}" + ) + self.num_nodes = self.dp_size // self.dp_size_per_node + logger.info( + f"Using node pack placement rank assigner for DP size {self.dp_size}" + f"with dp_size_per_node {self.dp_size_per_node}" + ) + + async def register( + self, replica_ctx: "serve.context.ReplicaContext", node_id: Optional[str] = None + ): + """ + Register a replica and assign a rank to it. - async def register(self, replica_ctx: "serve.context.ReplicaContext"): + Args: + replica_ctx: The replica context. + node_id: The node id of the replica. + + Returns: + The rank of the replica. + """ + if self.dp_size_per_node is None: + return await self._register_random_placement() + else: + if node_id is None: + raise ValueError("node_id is required for node pack placement") + return await self._register_node_pack_placement(node_id) + + async def _register_random_placement(self): + """ + Assign a rank based on random placement. + + The ranks are assigned in a random order, regardless of its node id. + """ async with self.lock: if self.next_rank >= self.dp_size: raise ValueError( @@ -32,6 +91,36 @@ async def register(self, replica_ctx: "serve.context.ReplicaContext"): self.next_rank += 1 return rank + async def _register_node_pack_placement(self, node_id: str): + """ + Assign a rank based on node pack placement. + + This should be used for DeepEP which assumes that the ranks ranging from + [dp_rank_per_node * node_rank, dp_rank_per_node * (node_rank + 1) - 1] are + assigned to the same node. + + For example, if dp_size_per_node is 8, and there are 16 ranks in total, then + the ranks [0, 7] should be assigned to one node, and ranks [8, 15] should be + assigned to another node. + """ + async with self.lock: + if not self.node_to_avail_ranks: + self.node_to_avail_ranks[node_id] = list( + range(1, self.dp_size_per_node) + ) + return 0 + elif node_id not in self.node_to_avail_ranks: + node_rank = len(self.node_to_avail_ranks) + assert node_rank < self.num_nodes + rank = node_rank * self.dp_size_per_node + self.node_to_avail_ranks[node_id] = list( + range(rank + 1, rank + self.dp_size_per_node) + ) + return rank + else: + rank = self.node_to_avail_ranks[node_id].pop(0) + return rank + async def set_dp_master_info(self, dp_address: str, dp_rpc_port: int): self.dp_address = dp_address self.dp_rpc_port = dp_rpc_port diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index 7fb1cc2f49a1..8e2bc445f3fd 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -9,6 +9,7 @@ DPRankAssigner, ) from ray.llm._internal.serve.deployments.llm.llm_server import LLMServer +from ray.runtime_context import get_runtime_context from ray.serve.deployment import Application from ray.serve.handle import DeploymentHandle @@ -29,7 +30,9 @@ async def __init__(self, llm_config: LLMConfig, dp_rank_assigner: DeploymentHand self.dp_rank_assigner = dp_rank_assigner replica_ctx = serve.get_replica_context() - self.dp_rank = await self.dp_rank_assigner.register.remote(replica_ctx) + node_id = get_runtime_context().get_node_id() + self.dp_rank = await self.dp_rank_assigner.register.remote(replica_ctx, node_id) + logger.info(f"DP rank {self.dp_rank} registered with rank assigner") if self.dp_rank == 0: @@ -81,8 +84,16 @@ def build_dp_deployment( "data_parallel_size should be greater than 1 for DP deployment." ) + # TODO(rui): figure out a better way to pass in dp_size_per_node. + # NOTE: we cannot use engine_kwargs.data_parallel_size_local to specify + # the number of ranks per node because that has special semantics in vLLM. + dp_size_per_node = llm_config.experimental_configs.get("dp_size_per_node", None) + deployment_options = llm_config.get_serve_options(name_prefix=name_prefix) - dp_rank_assigner = DPRankAssigner.bind(dp_size=dp_size) + dp_rank_assigner = DPRankAssigner.bind( + dp_size=dp_size, dp_size_per_node=dp_size_per_node + ) + return DPServer.as_deployment(deployment_options).bind( llm_config=llm_config, dp_rank_assigner=dp_rank_assigner ) From 0b25a1ef33a73a1b748a9a5b0f9a6fd779b582a1 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Mon, 18 Aug 2025 21:38:58 -0700 Subject: [PATCH 0761/1566] [core] ray.put returns an ObjectRef without an owner_address. (#55636) Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 15 ++++++--------- python/ray/_raylet.pyx | 25 ++++++++++++++++++++++++- 2 files changed, 30 insertions(+), 10 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 05e8b44f9220..8e31acf2fc78 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -852,15 +852,12 @@ def put_object( # reference will be created. If another reference is created and # removed before this one, it will corrupt the state in the # reference counter. - return ray.ObjectRef( - self.core_worker.put_serialized_object_and_increment_local_ref( - serialized_value, - pin_object=pin_object, - owner_address=owner_address, - _is_experimental_channel=_is_experimental_channel, - ), - # The initial local reference is already acquired internally. - skip_adding_local_ref=True, + return self.core_worker.put_object( + serialized_value, + pin_object=pin_object, + owner_address=owner_address, + inline_small_object=True, + _is_experimental_channel=_is_experimental_channel, ) def raise_errors(self, serialized_objects, object_refs): diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 821b994cfdb7..ad030028441d 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -1002,7 +1002,6 @@ cdef prepare_args_internal( ))) incremented_put_arg_ids.push_back(put_id) - cdef raise_if_dependency_failed(arg): """This method is used to improve the readability of backtrace. @@ -3429,6 +3428,30 @@ cdef class CoreWorker: CCoreWorkerProcess.GetCoreWorker() .ExperimentalRegisterMutableObjectReader(c_object_id)) + def put_object( + self, + serialized_object, + *, + c_bool pin_object, + owner_address, + c_bool inline_small_object, + c_bool _is_experimental_channel, + ): + """Create an object reference with the current worker as the owner. + """ + created_object = self.put_serialized_object_and_increment_local_ref( + serialized_object, pin_object, owner_address, inline_small_object, _is_experimental_channel) + if owner_address is None: + owner_address = CCoreWorkerProcess.GetCoreWorker().GetRpcAddress().SerializeAsString() + + # skip_adding_local_ref is True because it's already added through the call to + # put_serialized_object_and_increment_local_ref. + return ObjectRef( + created_object, + owner_address, + skip_adding_local_ref=True + ) + def put_serialized_object_and_increment_local_ref( self, serialized_object, From 675f61866ca77dcf50727c88f35013694129f223 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Mon, 18 Aug 2025 21:41:43 -0700 Subject: [PATCH 0762/1566] [Core] Bind runtime env agent and dashboard agent http server to specified ip instead of 0.0.0.0 (#55431) Signed-off-by: avigyabb Signed-off-by: avibasnet31 Co-authored-by: avibasnet31 Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- cpp/test_submit_cpp_job.py | 4 +--- python/ray/_private/runtime_env/agent/main.py | 5 +---- python/ray/dashboard/http_server_agent.py | 2 +- .../modules/job/tests/test_job_agent.py | 20 +++++++++---------- .../modules/reporter/tests/test_healthz.py | 4 ++-- 5 files changed, 15 insertions(+), 20 deletions(-) diff --git a/cpp/test_submit_cpp_job.py b/cpp/test_submit_cpp_job.py index 5ab6e753bf8f..695079a50c6a 100644 --- a/cpp/test_submit_cpp_job.py +++ b/cpp/test_submit_cpp_job.py @@ -21,9 +21,7 @@ def headers(): @pytest.fixture(scope="module") def job_sdk_client(headers): - with _ray_start( - include_dashboard=True, num_cpus=1, _node_ip_address="0.0.0.0" - ) as ctx: + with _ray_start(include_dashboard=True, num_cpus=1) as ctx: address = ctx.address_info["webui_url"] assert wait_until_server_available(address) yield JobSubmissionClient(format_web_url(address), headers=headers) diff --git a/python/ray/_private/runtime_env/agent/main.py b/python/ray/_private/runtime_env/agent/main.py index f9beaa6167c9..e65de4d63bd4 100644 --- a/python/ray/_private/runtime_env/agent/main.py +++ b/python/ray/_private/runtime_env/agent/main.py @@ -218,13 +218,10 @@ def parent_dead_callback(msg): check_raylet_task = create_check_raylet_task( args.log_dir, gcs_client, parent_dead_callback, loop ) - runtime_env_agent_ip = ( - "127.0.0.1" if args.node_ip_address == "127.0.0.1" else "0.0.0.0" - ) try: web.run_app( app, - host=runtime_env_agent_ip, + host=args.node_ip_address, port=args.runtime_env_agent_port, loop=loop, ) diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index 846df9c565b9..b71ba6c5a38b 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -44,7 +44,7 @@ async def _start_site_with_retry( try: site = aiohttp.web.TCPSite( self.runner, - "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0", + self.ip, self.listen_port, ) await site.start() diff --git a/python/ray/dashboard/modules/job/tests/test_job_agent.py b/python/ray/dashboard/modules/job/tests/test_job_agent.py index 7922c1cdff97..73229cc261a1 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_agent.py +++ b/python/ray/dashboard/modules/job/tests/test_job_agent.py @@ -25,7 +25,7 @@ run_string_as_driver_nonblocking, wait_until_server_available, ) -from ray._common.network_utils import parse_address, build_address +from ray._common.network_utils import build_address from ray.dashboard.modules.job.common import ( JOB_ACTOR_NAME_TEMPLATE, SUPERVISOR_ACTOR_RAY_NAMESPACE, @@ -77,8 +77,8 @@ def __init__(self, *args, **kwargs): @pytest_asyncio.fixture async def job_sdk_client(make_sure_dashboard_http_port_unused): with _ray_start(include_dashboard=True, num_cpus=1) as ctx: - ip, _ = parse_address(ctx.address_info["webui_url"]) - agent_address = build_address(ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) + node_ip = ctx.address_info["node_ip_address"] + agent_address = build_address(node_ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) assert wait_until_server_available(agent_address) head_address = ctx.address_info["webui_url"] assert wait_until_server_available(head_address) @@ -469,8 +469,8 @@ async def test_job_log_in_multiple_node( dashboard_agent_listen_port=DEFAULT_DASHBOARD_AGENT_LISTEN_PORT + 2 ) - ip, _ = parse_address(cluster.webui_url) - agent_address = build_address(ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) + node_ip = cluster.head_node.node_ip_address + agent_address = build_address(node_ip, DEFAULT_DASHBOARD_AGENT_LISTEN_PORT) assert wait_until_server_available(agent_address) client = JobAgentSubmissionClient(format_web_url(agent_address)) @@ -595,18 +595,18 @@ async def test_non_default_dashboard_agent_http_port(tmp_path): """ import subprocess - cmd = ( - "ray start --head " f"--dashboard-agent-listen-port {get_current_unused_port()}" - ) + dashboard_agent_port = get_current_unused_port() + cmd = "ray start --head " f"--dashboard-agent-listen-port {dashboard_agent_port}" subprocess.check_output(cmd, shell=True) try: # We will need to wait for the ray to be started in the subprocess. address_info = ray.init("auto", ignore_reinit_error=True).address_info - ip, _ = parse_address(address_info["webui_url"]) + node_ip = address_info["node_ip_address"] + dashboard_agent_listen_port = address_info["dashboard_agent_listen_port"] - agent_address = build_address(ip, dashboard_agent_listen_port) + agent_address = build_address(node_ip, dashboard_agent_listen_port) print("agent address = ", agent_address) agent_client = JobAgentSubmissionClient(format_web_url(agent_address)) diff --git a/python/ray/dashboard/modules/reporter/tests/test_healthz.py b/python/ray/dashboard/modules/reporter/tests/test_healthz.py index 9087a5581674..fd613e0d59e1 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_healthz.py +++ b/python/ray/dashboard/modules/reporter/tests/test_healthz.py @@ -25,7 +25,7 @@ def test_healthz_head(monkeypatch, ray_start_cluster): def test_healthz_agent_1(monkeypatch, ray_start_cluster): agent_port = find_free_port() h = ray_start_cluster.add_node(dashboard_agent_listen_port=agent_port) - uri = f"http://localhost:{agent_port}/api/local_raylet_healthz" + uri = f"http://{h.node_ip_address}:{agent_port}/api/local_raylet_healthz" wait_for_condition(lambda: requests.get(uri).status_code == 200) @@ -43,7 +43,7 @@ def test_healthz_agent_2(monkeypatch, ray_start_cluster): agent_port = find_free_port() h = ray_start_cluster.add_node(dashboard_agent_listen_port=agent_port) - uri = f"http://localhost:{agent_port}/api/local_raylet_healthz" + uri = f"http://{h.node_ip_address}:{agent_port}/api/local_raylet_healthz" wait_for_condition(lambda: requests.get(uri).status_code == 200) From b6bc3355f29230dbbfd7bea0586e7076e1bfa675 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 19 Aug 2025 00:10:43 -0700 Subject: [PATCH 0763/1566] [core] Correct bytes in flight when objects <5mb (#54349) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/includes/ray_config.pxd | 2 - python/ray/includes/ray_config.pxi | 4 - src/ray/common/ray_config_def.h | 4 +- src/ray/object_manager/chunk_object_reader.cc | 6 +- src/ray/object_manager/chunk_object_reader.h | 5 + src/ray/object_manager/object_manager.cc | 23 +- src/ray/object_manager/object_manager.h | 2 +- src/ray/object_manager/push_manager.cc | 34 +- src/ray/object_manager/push_manager.h | 80 ++--- .../object_manager/tests/push_manager_test.cc | 295 ++++++++++-------- src/ray/raylet/main.cc | 2 + 11 files changed, 249 insertions(+), 208 deletions(-) diff --git a/python/ray/includes/ray_config.pxd b/python/ray/includes/ray_config.pxd index 7189c2b5bd14..9459cbbef77b 100644 --- a/python/ray/includes/ray_config.pxd +++ b/python/ray/includes/ray_config.pxd @@ -37,8 +37,6 @@ cdef extern from "ray/common/ray_config.h" nogil: int object_manager_push_timeout_ms() const - uint64_t object_manager_default_chunk_size() const - uint32_t maximum_gcs_deletion_batch_size() const int64_t max_direct_call_object_size() const diff --git a/python/ray/includes/ray_config.pxi b/python/ray/includes/ray_config.pxi index d83273b4800f..d1506678bae4 100644 --- a/python/ray/includes/ray_config.pxi +++ b/python/ray/includes/ray_config.pxi @@ -61,10 +61,6 @@ cdef class Config: def object_manager_push_timeout_ms(): return RayConfig.instance().object_manager_push_timeout_ms() - @staticmethod - def object_manager_default_chunk_size(): - return RayConfig.instance().object_manager_default_chunk_size() - @staticmethod def maximum_gcs_deletion_batch_size(): return RayConfig.instance().maximum_gcs_deletion_batch_size() diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 313446827d30..827cff80da73 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -334,9 +334,7 @@ RAY_CONFIG(uint64_t, object_manager_default_chunk_size, 5 * 1024 * 1024) /// The maximum number of outbound bytes to allow to be outstanding. This avoids /// excessive memory usage during object broadcast to many receivers. -RAY_CONFIG(uint64_t, - object_manager_max_bytes_in_flight, - ((uint64_t)2) * 1024 * 1024 * 1024) +RAY_CONFIG(int64_t, object_manager_max_bytes_in_flight, (int64_t)2 * 1024 * 1024 * 1024) /// Maximum number of ids in one batch to send to GCS to delete keys. RAY_CONFIG(uint32_t, maximum_gcs_deletion_batch_size, 1000) diff --git a/src/ray/object_manager/chunk_object_reader.cc b/src/ray/object_manager/chunk_object_reader.cc index 2038033751c5..950a546e1470 100644 --- a/src/ray/object_manager/chunk_object_reader.cc +++ b/src/ray/object_manager/chunk_object_reader.cc @@ -50,7 +50,7 @@ std::optional ChunkObjectReader::GetChunk(uint64_t chunk_index) con auto offset = cur_chunk_offset; auto data_size = std::min(object_->GetDataSize() - cur_chunk_offset, cur_chunk_size); if (!object_->ReadFromDataSection(offset, data_size, result)) { - return std::optional(); + return std::nullopt; } } @@ -61,9 +61,9 @@ std::optional ChunkObjectReader::GetChunk(uint64_t chunk_index) con auto size = std::min(cur_chunk_offset + cur_chunk_size - object_->GetDataSize(), cur_chunk_size); if (!object_->ReadFromMetadataSection(offset, size, result)) { - return std::optional(); + return std::nullopt; } } - return std::optional(std::move(result)); + return result; } }; // namespace ray diff --git a/src/ray/object_manager/chunk_object_reader.h b/src/ray/object_manager/chunk_object_reader.h index 097d2c84e863..b70df5c1a9f5 100644 --- a/src/ray/object_manager/chunk_object_reader.h +++ b/src/ray/object_manager/chunk_object_reader.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include @@ -41,6 +42,10 @@ class ChunkObjectReader { const IObjectReader &GetObject() const { return *object_; } + uint64_t ChunkSize() const { + return std::min(chunk_size_, object_->GetDataSize() + object_->GetMetadataSize()); + } + private: const std::shared_ptr object_; const uint64_t chunk_size_; diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 90d8cbe5d93b..62fa2d51b2d0 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -117,13 +117,10 @@ ObjectManager::ObjectManager( restore_spilled_object_(restore_spilled_object), get_spilled_object_url_(std::move(get_spilled_object_url)), pull_retry_timer_(*main_service_, - boost::posix_time::milliseconds(config.timer_freq_ms)) { + boost::posix_time::milliseconds(config.timer_freq_ms)), + push_manager_(std::make_unique(config_.max_bytes_in_flight)) { RAY_CHECK_GT(config_.rpc_service_threads_number, 0); - push_manager_.reset(new PushManager(/* max_chunks_in_flight= */ std::max( - static_cast(1L), - static_cast(config_.max_bytes_in_flight / config_.object_chunk_size)))); - pull_retry_timer_.async_wait([this](const boost::system::error_code &e) { Tick(e); }); auto object_is_local = [this](const ObjectID &object_id) { @@ -493,8 +490,13 @@ void ObjectManager::PushObjectInternal(const ObjectID &object_id, << ", total data size: " << chunk_reader->GetObject().GetObjectSize(); auto push_id = UniqueID::FromRandom(); + uint64_t push_max_chunk_size = chunk_reader->ChunkSize(); push_manager_->StartPush( - node_id, object_id, chunk_reader->GetNumChunks(), [=](int64_t chunk_id) { + node_id, + object_id, + chunk_reader->GetNumChunks(), + push_max_chunk_size, + [=](int64_t chunk_id) { rpc_service_.post( [=]() { // Post to the multithreaded RPC event loop so that data is copied @@ -505,11 +507,14 @@ void ObjectManager::PushObjectInternal(const ObjectID &object_id, node_id, chunk_id, rpc_client, - [=](const Status &status) { + [this, push_max_chunk_size](const Status &status) { // Post back to the main event loop because the // PushManager is not thread-safe. - main_service_->post([this]() { push_manager_->OnChunkComplete(); }, - "ObjectManager.Push"); + this->main_service_->post( + [this, push_max_chunk_size]() { + this->push_manager_->OnChunkComplete(push_max_chunk_size); + }, + "ObjectManager.Push"); }, chunk_reader, from_disk); diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 593f2d2b1455..4a1b3f4535fa 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -53,7 +53,7 @@ struct ObjectManagerConfig { /// Object chunk size, in bytes uint64_t object_chunk_size; /// Max object push bytes in flight. - uint64_t max_bytes_in_flight; + int64_t max_bytes_in_flight; /// The store socket name. std::string store_socket_name; /// The time in milliseconds to wait until a Push request diff --git a/src/ray/object_manager/push_manager.cc b/src/ray/object_manager/push_manager.cc index 1ce1e0258dc8..25701fe32c5c 100644 --- a/src/ray/object_manager/push_manager.cc +++ b/src/ray/object_manager/push_manager.cc @@ -24,6 +24,7 @@ namespace ray { void PushManager::StartPush(const NodeID &dest_id, const ObjectID &obj_id, int64_t num_chunks, + int64_t max_chunk_size, std::function send_chunk_fn) { auto push_id = std::make_pair(dest_id, obj_id); RAY_CHECK(num_chunks > 0); @@ -37,18 +38,19 @@ void PushManager::StartPush(const NodeID &dest_id, dest_id, obj_id, num_chunks, + max_chunk_size, std::move(send_chunk_fn)); } else { RAY_LOG(DEBUG) << "Duplicate push request " << push_id.first << ", " << push_id.second << ", resending all the chunks."; - RAY_CHECK_NE(it->second->num_chunks_to_send, 0); + RAY_CHECK_NE(it->second->num_chunks_to_send_, 0); chunks_remaining_ += it->second->ResendAllChunks(std::move(send_chunk_fn)); } ScheduleRemainingPushes(); } -void PushManager::OnChunkComplete() { - chunks_in_flight_ -= 1; +void PushManager::OnChunkComplete(int64_t push_max_chunk_size) { + bytes_in_flight_ -= push_max_chunk_size; chunks_remaining_ -= 1; ScheduleRemainingPushes(); } @@ -62,23 +64,23 @@ void PushManager::ScheduleRemainingPushes() { // Loop over all active pushes for approximate round-robin prioritization. bool keep_looping = true; - while (chunks_in_flight_ < max_chunks_in_flight_ && keep_looping) { + while (bytes_in_flight_ < max_bytes_in_flight_ && keep_looping) { // Loop over each active push and try to send another chunk. - // If we could push out a chunk and haven't reached the chunks_in_flight_ limit, + // If we could push out a chunk and haven't reached the max_bytes_in_flight_ limit, // we'll loop again to try to send more chunks. keep_looping = false; auto iter = push_requests_with_chunks_to_send_.begin(); while (iter != push_requests_with_chunks_to_send_.end() && - chunks_in_flight_ < max_chunks_in_flight_) { + bytes_in_flight_ < max_bytes_in_flight_) { auto &push_state = *iter; push_state.SendOneChunk(); - chunks_in_flight_ += 1; - if (push_state.num_chunks_to_send == 0) { - auto push_state_map_iter = push_state_map_.find(push_state.node_id); + bytes_in_flight_ += push_state.max_chunk_size_; + if (push_state.num_chunks_to_send_ == 0) { + auto push_state_map_iter = push_state_map_.find(push_state.node_id_); RAY_CHECK(push_state_map_iter != push_state_map_.end()); auto &dest_map = push_state_map_iter->second; - auto dest_map_iter = dest_map.find(push_state.object_id); + auto dest_map_iter = dest_map.find(push_state.object_id_); RAY_CHECK(dest_map_iter != dest_map.end()); iter = push_requests_with_chunks_to_send_.erase(dest_map_iter->second); @@ -107,18 +109,16 @@ void PushManager::HandleNodeRemoved(const NodeID &node_id) { void PushManager::RecordMetrics() const { ray::stats::STATS_push_manager_num_pushes_remaining.Record( - NumPushRequestsWithChunksToSend()); - ray::stats::STATS_push_manager_chunks.Record(NumChunksInFlight(), "InFlight"); - ray::stats::STATS_push_manager_chunks.Record(NumChunksRemaining(), "Remaining"); + push_requests_with_chunks_to_send_.size()); + ray::stats::STATS_push_manager_chunks.Record(chunks_remaining_, "Remaining"); } std::string PushManager::DebugString() const { std::stringstream result; result << "PushManager:"; - result << "\n- num pushes remaining: " << NumPushRequestsWithChunksToSend(); - result << "\n- num chunks in flight: " << NumChunksInFlight(); - result << "\n- num chunks remaining: " << NumChunksRemaining(); - result << "\n- max chunks allowed: " << max_chunks_in_flight_; + result << "\n- num pushes remaining: " << push_requests_with_chunks_to_send_.size(); + result << "\n- num chunks remaining: " << chunks_remaining_; + result << "\n- max bytes allowed: " << max_bytes_in_flight_; return result.str(); } diff --git a/src/ray/object_manager/push_manager.h b/src/ray/object_manager/push_manager.h index 79195d2327e3..b61903e9123f 100644 --- a/src/ray/object_manager/push_manager.h +++ b/src/ray/object_manager/push_manager.h @@ -28,12 +28,10 @@ class PushManager { public: /// Create a push manager. /// - /// \param max_chunks_in_flight Max number of chunks allowed to be in flight + /// \param max_bytes_in_flight Max number of bytes allowed to be in flight /// from this PushManager (this raylet). - explicit PushManager(int64_t max_chunks_in_flight) - : max_chunks_in_flight_(max_chunks_in_flight) { - RAY_CHECK_GT(max_chunks_in_flight_, 0); - }; + explicit PushManager(int64_t max_bytes_in_flight) + : max_bytes_in_flight_(max_bytes_in_flight){}; /// Start pushing an object subject to max chunks in flight limit. /// @@ -42,91 +40,97 @@ class PushManager { /// \param dest_id The node to send to. /// \param obj_id The object to send. /// \param num_chunks The total number of chunks to send. + /// \param max_chunk_size See comment for max_chunk_size_ in PushState. /// \param send_chunk_fn This function will be called with args 0...{num_chunks-1}. /// The caller promises to call PushManager::OnChunkComplete() /// once a call to send_chunk_fn finishes. void StartPush(const NodeID &dest_id, const ObjectID &obj_id, int64_t num_chunks, + int64_t max_chunk_size, std::function send_chunk_fn); /// Called every time a chunk completes to trigger additional sends. /// TODO(ekl) maybe we should cancel the entire push on error. - void OnChunkComplete(); + void OnChunkComplete(int64_t push_max_chunk_size); /// Cancel all pushes that have not yet been sent to the removed node. void HandleNodeRemoved(const NodeID &node_id); - /// Return the number of chunks currently in flight. For metrics and testing. - int64_t NumChunksInFlight() const { return chunks_in_flight_; }; + void RecordMetrics() const; - /// Return the number of chunks remaining. For metrics and testing. - int64_t NumChunksRemaining() const { return chunks_remaining_; } + int64_t BytesInFlight() const { return bytes_in_flight_; } - /// Return the number of push requests with remaining chunks. For metrics and testing. - int64_t NumPushRequestsWithChunksToSend() const { - return push_requests_with_chunks_to_send_.size(); - }; + int64_t ChunksRemaining() const { return chunks_remaining_; } - /// Record the internal metrics. - void RecordMetrics() const; + int64_t PushesInFlight() const { return push_state_map_.size(); } + + int64_t PushRequestsRemaining() const { + return push_requests_with_chunks_to_send_.size(); + } std::string DebugString() const; private: FRIEND_TEST(TestPushManager, TestPushState); - FRIEND_TEST(TestPushManager, TestNodeRemoved); /// Tracks the state of an active object push to another node. struct PushState { - NodeID node_id; - ObjectID object_id; + NodeID node_id_; + ObjectID object_id_; /// total number of chunks of this object. - int64_t num_chunks; + int64_t num_chunks_; + /// the max size of a chunk for this object in bytes, used to count bytes_in_flight_ + /// and assure it stays under max_bytes_in_flight_. This means we can overcount for + /// the last chunk but we're accepting that to keep the code simpler. + int64_t max_chunk_size_; /// The function to send chunks with. - std::function chunk_send_fn; + std::function chunk_send_fn_; + /// The index of the next chunk to send. - int64_t next_chunk_id = 0; + int64_t next_chunk_id_ = 0; /// The number of chunks remaining to send. - int64_t num_chunks_to_send; + int64_t num_chunks_to_send_; PushState(NodeID node_id, ObjectID object_id, int64_t num_chunks, + int64_t max_chunk_size, std::function chunk_send_fn) - : node_id(node_id), - object_id(object_id), - num_chunks(num_chunks), - chunk_send_fn(std::move(chunk_send_fn)), - num_chunks_to_send(num_chunks) {} + : node_id_(node_id), + object_id_(object_id), + num_chunks_(num_chunks), + max_chunk_size_(max_chunk_size), + chunk_send_fn_(std::move(chunk_send_fn)), + num_chunks_to_send_(num_chunks) {} /// Resend all chunks and returns how many more chunks will be sent. int64_t ResendAllChunks(std::function send_fn) { - chunk_send_fn = std::move(send_fn); - int64_t additional_chunks_to_send = num_chunks - num_chunks_to_send; - num_chunks_to_send = num_chunks; + chunk_send_fn_ = std::move(send_fn); + int64_t additional_chunks_to_send = num_chunks_ - num_chunks_to_send_; + num_chunks_to_send_ = num_chunks_; return additional_chunks_to_send; } /// Send one chunk. Return true if a new chunk is sent, false if no more chunk to /// send. void SendOneChunk() { - num_chunks_to_send--; + num_chunks_to_send_--; // Send the next chunk for this push. - chunk_send_fn(next_chunk_id); - next_chunk_id = (next_chunk_id + 1) % num_chunks; + chunk_send_fn_(next_chunk_id_); + next_chunk_id_ = (next_chunk_id_ + 1) % num_chunks_; } }; /// Called on completion events to trigger additional pushes. void ScheduleRemainingPushes(); - /// Max number of chunks in flight allowed. - const int64_t max_chunks_in_flight_; + /// Max number of bytes in flight allowed. + const int64_t max_bytes_in_flight_; - /// Running count of chunks in flight, used to limit progress of in_flight_pushes_. - int64_t chunks_in_flight_ = 0; + /// Running count of bytes in flight + int64_t bytes_in_flight_ = 0; /// Remaining count of chunks to push to other nodes. int64_t chunks_remaining_ = 0; diff --git a/src/ray/object_manager/tests/push_manager_test.cc b/src/ray/object_manager/tests/push_manager_test.cc index d3f5188a9e3b..084d9078184b 100644 --- a/src/ray/object_manager/tests/push_manager_test.cc +++ b/src/ray/object_manager/tests/push_manager_test.cc @@ -27,78 +27,86 @@ TEST(TestPushManager, TestSingleTransfer) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(5); - pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 10); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + PushManager pm(25); + int64_t push_max_chunk_size = 5; + pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + results[chunk_id] = 1; + }); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 10); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); for (int i = 0; i < 10; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } - ASSERT_EQ(pm.NumChunksInFlight(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 0); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 1); } } TEST(TestPushManager, TestPushState) { + int64_t push_max_chunk_size = 5; // normal sending. { std::vector sent_chunks; PushManager::PushState state{ - NodeID::FromRandom(), ObjectID::FromRandom(), 2, [&](int64_t chunk_id) { - sent_chunks.push_back(chunk_id); - }}; - ASSERT_EQ(state.num_chunks, 2); - ASSERT_EQ(state.next_chunk_id, 0); - ASSERT_EQ(state.num_chunks_to_send, 2); + NodeID::FromRandom(), + ObjectID::FromRandom(), + 2, + push_max_chunk_size, + [&](int64_t chunk_id) { sent_chunks.push_back(chunk_id); }}; + ASSERT_EQ(state.num_chunks_, 2); + ASSERT_EQ(state.next_chunk_id_, 0); + ASSERT_EQ(state.num_chunks_to_send_, 2); state.SendOneChunk(); - ASSERT_EQ(state.num_chunks, 2); - ASSERT_EQ(state.next_chunk_id, 1); - ASSERT_EQ(state.num_chunks_to_send, 1); + ASSERT_EQ(state.num_chunks_, 2); + ASSERT_EQ(state.next_chunk_id_, 1); + ASSERT_EQ(state.num_chunks_to_send_, 1); ASSERT_EQ(sent_chunks, (std::vector{0})); state.SendOneChunk(); - ASSERT_EQ(state.num_chunks, 2); - ASSERT_EQ(state.next_chunk_id, 0); - ASSERT_EQ(state.num_chunks_to_send, 0); + ASSERT_EQ(state.num_chunks_, 2); + ASSERT_EQ(state.next_chunk_id_, 0); + ASSERT_EQ(state.num_chunks_to_send_, 0); ASSERT_EQ(sent_chunks, (std::vector{0, 1})); - ASSERT_EQ(state.num_chunks_to_send, 0); + ASSERT_EQ(state.num_chunks_to_send_, 0); } // resend all chunks. { std::vector sent_chunks; PushManager::PushState state{ - NodeID::FromRandom(), ObjectID::FromRandom(), 3, [&](int64_t chunk_id) { - sent_chunks.push_back(chunk_id); - }}; + NodeID::FromRandom(), + ObjectID::FromRandom(), + 3, + push_max_chunk_size, + [&](int64_t chunk_id) { sent_chunks.push_back(chunk_id); }}; state.SendOneChunk(); - ASSERT_EQ(state.num_chunks, 3); - ASSERT_EQ(state.next_chunk_id, 1); - ASSERT_EQ(state.num_chunks_to_send, 2); + ASSERT_EQ(state.num_chunks_, 3); + ASSERT_EQ(state.next_chunk_id_, 1); + ASSERT_EQ(state.num_chunks_to_send_, 2); ASSERT_EQ(sent_chunks, (std::vector{0})); // resend chunks when 1 chunk is in flight. ASSERT_EQ(1, state.ResendAllChunks([&](int64_t chunk_id) { sent_chunks.push_back(chunk_id); })); - ASSERT_EQ(state.num_chunks, 3); - ASSERT_EQ(state.next_chunk_id, 1); - ASSERT_EQ(state.num_chunks_to_send, 3); + ASSERT_EQ(state.num_chunks_, 3); + ASSERT_EQ(state.next_chunk_id_, 1); + ASSERT_EQ(state.num_chunks_to_send_, 3); for (auto i = 0; i < 3; i++) { state.SendOneChunk(); - ASSERT_EQ(state.num_chunks, 3); - ASSERT_EQ(state.next_chunk_id, (2 + i) % 3); - ASSERT_EQ(state.num_chunks_to_send, 3 - i - 1); + ASSERT_EQ(state.num_chunks_, 3); + ASSERT_EQ(state.next_chunk_id_, (2 + i) % 3); + ASSERT_EQ(state.num_chunks_to_send_, 3 - i - 1); } ASSERT_EQ(sent_chunks, (std::vector{0, 1, 2, 0})); - ASSERT_EQ(state.num_chunks_to_send, 0); + ASSERT_EQ(state.num_chunks_to_send_, 0); } } @@ -107,37 +115,42 @@ TEST(TestPushManager, TestRetryDuplicates) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(5); + PushManager pm(25); // First push request. - pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 10); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + int64_t push_max_chunk_size = 5; + pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + results[chunk_id] = 1; + }); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 10); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); // Second push request will resent the full chunks. - pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 2; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 15); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + results[chunk_id] = 2; + }); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 15); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); // first 5 chunks will be sent by first push request. for (int i = 0; i < 5; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } for (int i = 0; i < 5; i++) { ASSERT_EQ(results[i], 1); } - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 10); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 10); // we will resend all chunks by second push request. for (int i = 0; i < 10; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 2); } - ASSERT_EQ(pm.NumChunksInFlight(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 0); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); } TEST(TestPushManager, TestResendWholeObject) { @@ -145,34 +158,39 @@ TEST(TestPushManager, TestResendWholeObject) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(5); - pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 10); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + PushManager pm(25); + int64_t push_max_chunk_size = 5; + pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + results[chunk_id] = 1; + }); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 10); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); for (int i = 0; i < 5; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } // All chunks have been sent out - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 5); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 5); // resend this object, and it needs to be added to the traversal list. - pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 2; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 15); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + results[chunk_id] = 2; + }); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 15); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); // we will resend all chunks by second push request. for (int i = 0; i < 15; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 2); } - ASSERT_EQ(pm.NumChunksInFlight(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 0); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); } TEST(TestPushManager, TestMultipleTransfers) { @@ -185,30 +203,31 @@ TEST(TestPushManager, TestMultipleTransfers) { auto obj_id = ObjectID::FromRandom(); int num_active1 = 0; int num_active2 = 0; - PushManager pm(5); - pm.StartPush(node1, obj_id, 10, [&](int64_t chunk_id) { + PushManager pm(25); + int64_t push_max_chunk_size = 5; + pm.StartPush(node1, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { results1[chunk_id] = 1; num_active1++; }); - pm.StartPush(node2, obj_id, 10, [&](int64_t chunk_id) { + pm.StartPush(node2, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { results2[chunk_id] = 2; num_active2++; }); - ASSERT_EQ(pm.NumChunksInFlight(), 5); - ASSERT_EQ(pm.NumChunksRemaining(), 20); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 2); + ASSERT_EQ(pm.BytesInFlight(), 25); + ASSERT_EQ(pm.ChunksRemaining(), 20); + ASSERT_EQ(pm.PushRequestsRemaining(), 2); for (int i = 0; i < 20; i++) { if (num_active1 > 0) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); num_active1--; } else if (num_active2 > 0) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); num_active2--; } } - ASSERT_EQ(pm.NumChunksInFlight(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 0); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); for (int i = 0; i < 10; i++) { ASSERT_EQ(results1[i], 1); } @@ -222,42 +241,55 @@ TEST(TestPushManager, TestPushMultipleObject) { auto obj_id_1 = ObjectID::FromRandom(); auto obj_id_2 = ObjectID::FromRandom(); auto obj_id_3 = ObjectID::FromRandom(); - PushManager pm(3); + PushManager pm(15); absl::flat_hash_map> result; - pm.StartPush(node_id, obj_id_1, 4, [&, obj_id = obj_id_1](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - pm.StartPush(node_id, obj_id_2, 1, [&, obj_id = obj_id_2](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - pm.StartPush(node_id, obj_id_3, 2, [&, obj_id = obj_id_3](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); - ASSERT_EQ(pm.NumChunksInFlight(), 3); - ASSERT_EQ(pm.NumChunksRemaining(), 7); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); - - pm.OnChunkComplete(); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 2); - pm.OnChunkComplete(); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); - pm.OnChunkComplete(); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); - pm.OnChunkComplete(); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); - - pm.OnChunkComplete(); - pm.OnChunkComplete(); - pm.OnChunkComplete(); - - ASSERT_EQ(pm.NumChunksInFlight(), 0); - ASSERT_EQ(pm.NumChunksRemaining(), 0); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + int64_t push_max_chunk_size = 5; + pm.StartPush(node_id, + obj_id_1, + 4, + push_max_chunk_size, + [&, obj_id = obj_id_1](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + pm.StartPush(node_id, + obj_id_2, + 1, + push_max_chunk_size, + [&, obj_id = obj_id_2](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + pm.StartPush(node_id, + obj_id_3, + 2, + push_max_chunk_size, + [&, obj_id = obj_id_3](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + ASSERT_EQ(pm.PushRequestsRemaining(), 3); + ASSERT_EQ(pm.BytesInFlight(), 15); + ASSERT_EQ(pm.ChunksRemaining(), 7); + ASSERT_EQ(pm.PushRequestsRemaining(), 3); + + pm.OnChunkComplete(push_max_chunk_size); + ASSERT_EQ(pm.PushRequestsRemaining(), 2); + pm.OnChunkComplete(push_max_chunk_size); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); + pm.OnChunkComplete(push_max_chunk_size); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); + pm.OnChunkComplete(push_max_chunk_size); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); + + pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(push_max_chunk_size); + + ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.ChunksRemaining(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); ASSERT_EQ(result[obj_id_1].size(), 4); ASSERT_EQ(result[obj_id_2].size(), 1); @@ -265,48 +297,49 @@ TEST(TestPushManager, TestPushMultipleObject) { } TEST(TestPushManager, TestNodeRemoved) { - PushManager pm(3); + PushManager pm(15); // Start pushing two objects to node 1. auto node_id_1 = NodeID::FromRandom(); auto obj_id_1 = ObjectID::FromRandom(); auto obj_id_2 = ObjectID::FromRandom(); - pm.StartPush(node_id_1, obj_id_1, 4, [](int64_t) {}); - pm.StartPush(node_id_1, obj_id_2, 2, [](int64_t) {}); + int64_t push_max_chunk_size = 5; + pm.StartPush(node_id_1, obj_id_1, 4, push_max_chunk_size, [](int64_t) {}); + pm.StartPush(node_id_1, obj_id_2, 2, push_max_chunk_size, [](int64_t) {}); // Start pushing one object to node 2. auto node_id_2 = NodeID::FromRandom(); auto obj_id_3 = ObjectID::FromRandom(); - pm.StartPush(node_id_2, obj_id_3, 3, [](int64_t) {}); + pm.StartPush(node_id_2, obj_id_3, 3, push_max_chunk_size, [](int64_t) {}); // 3 chunks in flight for 3 objects to two nodes. - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); - ASSERT_EQ(pm.NumChunksInFlight(), 3); - ASSERT_EQ(pm.push_state_map_.size(), 2); - ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 3); + ASSERT_EQ(pm.PushRequestsRemaining(), 3); + ASSERT_EQ(pm.BytesInFlight(), 15); + ASSERT_EQ(pm.PushesInFlight(), 2); + ASSERT_EQ(pm.PushRequestsRemaining(), 3); // Remove Node 1. This should cause its associated push requests to be cleaned up. pm.HandleNodeRemoved(node_id_1); - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); - ASSERT_EQ(pm.NumChunksInFlight(), 3); - ASSERT_EQ(pm.push_state_map_.size(), 1); - ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 1); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); + ASSERT_EQ(pm.BytesInFlight(), 15); + ASSERT_EQ(pm.PushesInFlight(), 1); + ASSERT_EQ(pm.PushRequestsRemaining(), 1); // All 3 in flight chunks finish. // All pushes should be done with chunks to node 2 in flight. for (int i = 0; i < 3; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } - ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); - ASSERT_EQ(pm.NumChunksInFlight(), 3); - ASSERT_EQ(pm.push_state_map_.size(), 0); - ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.BytesInFlight(), 15); + ASSERT_EQ(pm.PushesInFlight(), 0); + ASSERT_EQ(pm.PushRequestsRemaining(), 0); // The in flight chunks complete. for (int i = 0; i < 3; i++) { - pm.OnChunkComplete(); + pm.OnChunkComplete(push_max_chunk_size); } - ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.BytesInFlight(), 0); } } // namespace ray diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 7193230c0729..c9f73d3cdf95 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -473,6 +473,8 @@ int main(int argc, char *argv[]) { object_manager_config.object_store_memory = object_store_memory; object_manager_config.max_bytes_in_flight = RayConfig::instance().object_manager_max_bytes_in_flight(); + RAY_CHECK_GT(object_manager_config.max_bytes_in_flight, 0) + << "object_manager_max_bytes_in_flight must be greater than 0"; object_manager_config.plasma_directory = plasma_directory; object_manager_config.fallback_directory = fallback_directory; object_manager_config.huge_pages = huge_pages; From 7bd76bad96a0af4ee34c882efbd80cc09855b75b Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 19 Aug 2025 07:47:57 -0700 Subject: [PATCH 0764/1566] [core] Remove job submission code for using JobAgent on a random worker node. (#55718) When a Job is submitted through the SDK/JobClient, the request goes to the dashboard's JobHead. The JobHead submits a request to a JobAgent which has a JobManager. The JobManager creates a JobSupervisor actor which manages the lifecycle of the job. In #47147, the `RAY_JOB_AGENT_USE_HEAD_NODE_ONLY` feature flag to force head node's JobAgent to be used for job submission. The flag was intended to be a temporary kill switch if head_node only scheduling had issues. Now that #47147 has been merged for over a year, I'm cleaning up the flag in this PR and making it the default (and only behavior). --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/job/job_head.py | 113 +--------- .../modules/job/tests/test_http_job_server.py | 206 +----------------- .../dashboard/modules/job/tests/test_sdk.py | 130 ++--------- 3 files changed, 25 insertions(+), 424 deletions(-) diff --git a/python/ray/dashboard/modules/job/job_head.py b/python/ray/dashboard/modules/job/job_head.py index 333075b10679..06bc1cfe37d1 100644 --- a/python/ray/dashboard/modules/job/job_head.py +++ b/python/ray/dashboard/modules/job/job_head.py @@ -7,19 +7,17 @@ import time import traceback from datetime import datetime -from random import choice -from typing import AsyncIterator, Dict, List, Optional, Tuple +from typing import AsyncIterator, Dict, Optional, Tuple import aiohttp.web from aiohttp.client import ClientResponse from aiohttp.web import Request, Response, StreamResponse import ray -import ray.dashboard.consts as dashboard_consts from ray import NodeID from ray._common.utils import get_or_create_event_loop, load_class from ray._common.pydantic_compat import BaseModel, Extra, Field, validator -from ray._private.ray_constants import KV_NAMESPACE_DASHBOARD, env_bool +from ray._private.ray_constants import KV_NAMESPACE_DASHBOARD from ray._private.runtime_env.packaging import ( package_exists, pin_runtime_env_uri, @@ -57,12 +55,6 @@ logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) -# Feature flag controlling whether critical Ray Job control operations are performed -# exclusively by the Job Agent running on the Head node (or randomly sampled Worker one) -# -# NOTE: This flag serves as a temporary kill-switch and should be eventually cleaned up -RAY_JOB_AGENT_USE_HEAD_NODE_ONLY = env_bool("RAY_JOB_AGENT_USE_HEAD_NODE_ONLY", True) - class RayActivityStatus(str, enum.Enum): ACTIVE = "ACTIVE" @@ -249,86 +241,7 @@ async def get_target_agent( Raises: TimeoutError: If the operation times out. """ - if RAY_JOB_AGENT_USE_HEAD_NODE_ONLY: - return await self._get_head_node_agent(timeout_s) - - return await self._pick_random_agent(timeout_s) - - async def _pick_random_agent( - self, timeout_s: float - ) -> Optional[JobAgentSubmissionClient]: - """ - Try to disperse as much as possible to select one of - the `CANDIDATE_AGENT_NUMBER` agents to solve requests. - the agents will not pop from `self._agents` unless - it's dead. Saved in `self._agents` is the agent that was - used before. - Strategy: - 1. if the number of `self._agents` has reached - `CANDIDATE_AGENT_NUMBER`, randomly select one agent from - `self._agents`. - 2. if not, randomly select one agent from all available agents, - it is possible that the selected one already exists in - `self._agents`. - - If there's no agent available at all, or there's exception, it will retry every - `TRY_TO_GET_AGENT_INFO_INTERVAL_SECONDS` seconds indefinitely. - - Args: - timeout_s: The timeout for the operation. - - Returns: - A `JobAgentSubmissionClient` for interacting with jobs via an agent process. - - Raises: - TimeoutError: If the operation times out. - """ - start_time_s = time.time() - last_exception = None - while time.time() < start_time_s + timeout_s: - try: - return await self._pick_random_agent_once() - except Exception as e: - last_exception = e - logger.exception( - f"Failed to pick a random agent, retrying in {TRY_TO_GET_AGENT_INFO_INTERVAL_SECONDS} seconds..." - ) - await asyncio.sleep(TRY_TO_GET_AGENT_INFO_INTERVAL_SECONDS) - raise TimeoutError( - f"Failed to pick a random agent within {timeout_s} seconds. The last exception is {last_exception}" - ) - - async def _pick_random_agent_once(self) -> JobAgentSubmissionClient: - """ - Query the internal kv for all agent infos, and pick agents randomly. May raise - exception if there's no agent available at all or there's network error. - """ - # NOTE: Following call will block until there's at least 1 agent info - # being populated from GCS - agent_node_ids = await self._fetch_all_agent_node_ids() - - # delete dead agents. - for dead_node in set(self._agents) - set(agent_node_ids): - client = self._agents.pop(dead_node) - await client.close() - - if len(self._agents) >= dashboard_consts.CANDIDATE_AGENT_NUMBER: - node_id = choice(list(self._agents)) - return self._agents[node_id] - else: - # Randomly select one from among all agents, it is possible that - # the selected one already exists in `self._agents` - node_id = choice(list(agent_node_ids)) - - if node_id not in self._agents: - # Fetch agent info from InternalKV, and create a new - # JobAgentSubmissionClient. May raise if the node_id is removed in - # InternalKV after the _fetch_all_agent_node_ids, though unlikely. - ip, http_port, _ = await self._fetch_agent_info(node_id) - agent_http_address = f"http://{build_address(ip, http_port)}" - self._agents[node_id] = JobAgentSubmissionClient(agent_http_address) - - return self._agents[node_id] + return await self._get_head_node_agent(timeout_s) async def _get_head_node_agent_once(self) -> JobAgentSubmissionClient: head_node_id_hex = await get_head_node_id(self.gcs_client) @@ -374,26 +287,6 @@ async def _get_head_node_agent(self, timeout_s: float) -> JobAgentSubmissionClie f"Failed to get head node agent within {timeout_s} seconds. The last exception is {exception}" ) - async def _fetch_all_agent_node_ids(self) -> List[NodeID]: - """ - Fetches all NodeIDs with agent infos in the cluster. - - May raise exception if there's no agent available at all or there's network error. - Returns: List[NodeID] - """ - keys = await self.gcs_client.async_internal_kv_keys( - f"{DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}".encode(), - namespace=KV_NAMESPACE_DASHBOARD, - timeout=GCS_RPC_TIMEOUT_SECONDS, - ) - if not keys: - # No agent keys found, retry - raise Exception("No agents found in InternalKV.") - return [ - NodeID.from_hex(key[len(DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX) :].decode()) - for key in keys - ] - async def _fetch_agent_info(self, target_node_id: NodeID) -> Tuple[str, int, int]: """ Fetches agent info by the Node ID. May raise exception if there's network error or the diff --git a/python/ray/dashboard/modules/job/tests/test_http_job_server.py b/python/ray/dashboard/modules/job/tests/test_http_job_server.py index 07151a341038..b66df1178bfa 100644 --- a/python/ray/dashboard/modules/job/tests/test_http_job_server.py +++ b/python/ray/dashboard/modules/job/tests/test_http_job_server.py @@ -1,4 +1,3 @@ -import asyncio import json import logging import os @@ -8,7 +7,7 @@ import tempfile import time from pathlib import Path -from typing import Dict, List, Optional, Union +from typing import Optional from unittest.mock import patch import pytest @@ -17,7 +16,6 @@ import yaml import ray -from ray import NodeID from ray._private.runtime_env.packaging import ( create_package, download_and_unpack_package, @@ -26,16 +24,10 @@ from ray._private.test_utils import ( chdir, format_web_url, - ray_constants, wait_until_server_available, ) -from ray.dashboard.consts import ( - DASHBOARD_AGENT_ADDR_IP_PREFIX, - DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX, -) from ray.dashboard.modules.dashboard_sdk import ClusterInfo, parse_cluster_info from ray.dashboard.modules.job.common import uri_to_http_components -from ray.dashboard.modules.job.job_head import JobHead from ray.dashboard.modules.job.pydantic_models import JobDetails from ray.dashboard.modules.job.tests.test_cli_integration import set_env_var from ray.dashboard.modules.version import CURRENT_VERSION @@ -746,202 +738,6 @@ def test_jobs_env_hook(job_sdk_client: JobSubmissionClient): assert f.read().strip() == "Ray rocks!" -@pytest.mark.asyncio -async def test_job_head_pick_random_job_agent(monkeypatch): - with set_env_var("CANDIDATE_AGENT_NUMBER", "2"): - import importlib - - importlib.reload(ray.dashboard.consts) - - # Fake GCS client - class _FakeGcsClient: - def __init__(self): - self._kv: Dict[bytes, bytes] = {} - - @staticmethod - def ensure_bytes(key: Union[bytes, str]) -> bytes: - return key.encode() if isinstance(key, str) else key - - async def async_internal_kv_put( - self, key: Union[bytes, str], value: bytes, **kwargs - ): - key = self.ensure_bytes(key) - self._kv[key] = value - - async def async_internal_kv_get(self, key: Union[bytes, str], **kwargs): - key = self.ensure_bytes(key) - return self._kv.get(key, None) - - async def async_internal_kv_multi_get( - self, keys: List[Union[bytes, str]], **kwargs - ): - return {key: self.internal_kv_get(key) for key in keys} - - async def async_internal_kv_del(self, key: Union[bytes, str], **kwargs): - key = self.ensure_bytes(key) - self._kv.pop(key) - - async def async_internal_kv_keys(self, prefix: Union[bytes, str], **kwargs): - prefix = self.ensure_bytes(prefix) - return [key for key in self._kv.keys() if key.startswith(prefix)] - - class MockJobHead(JobHead): - def __init__(self): - self._agents = dict() - self._gcs_client = _FakeGcsClient() - - @property - def gcs_client(self): - # Overrides JobHead.gcs_client - return self._gcs_client - - job_head = MockJobHead() - job_head._gcs_client = _FakeGcsClient() - - async def add_agent(agent): - node_id = agent[0] - node_ip = agent[1]["ipAddress"] - http_port = agent[1]["httpPort"] - grpc_port = agent[1]["grpcPort"] - - await job_head._gcs_client.async_internal_kv_put( - f"{DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{node_id.hex()}".encode(), - json.dumps([node_ip, http_port, grpc_port]).encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - ) - await job_head._gcs_client.async_internal_kv_put( - f"{DASHBOARD_AGENT_ADDR_IP_PREFIX}{node_ip}".encode(), - json.dumps([node_id.hex(), http_port, grpc_port]).encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - ) - - async def del_agent(agent): - node_id = agent[0] - node_ip = agent[1]["ipAddress"] - await job_head._gcs_client.async_internal_kv_del( - f"{DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{node_id.hex()}".encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - ) - await job_head._gcs_client.async_internal_kv_del( - f"{DASHBOARD_AGENT_ADDR_IP_PREFIX}{node_ip}".encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - ) - - head_node_id = NodeID.from_random() - await job_head._gcs_client.async_internal_kv_put( - ray_constants.KV_HEAD_NODE_ID_KEY, - head_node_id.hex().encode(), - namespace=ray_constants.KV_NAMESPACE_JOB, - ) - - agent_1 = ( - head_node_id, - dict( - ipAddress="1.1.1.1", - httpPort=1, - grpcPort=1, - httpAddress="1.1.1.1:1", - ), - ) - agent_2 = ( - NodeID.from_random(), - dict( - ipAddress="2.2.2.2", - httpPort=2, - grpcPort=2, - httpAddress="2.2.2.2:2", - ), - ) - agent_3 = ( - NodeID.from_random(), - dict( - ipAddress="3.3.3.3", - httpPort=3, - grpcPort=3, - httpAddress="3.3.3.3:3", - ), - ) - - # Disable Head-node routing for the Ray job critical ops (enabling - # random agent sampling) - monkeypatch.setattr( - f"{JobHead.__module__}.RAY_JOB_AGENT_USE_HEAD_NODE_ONLY", False - ) - - # Check only 1 agent present, only agent being returned - await add_agent(agent_1) - job_agent_client = await job_head.get_target_agent() - assert job_agent_client._agent_address == "http://1.1.1.1:1" - - # Remove only agent, no agents present, should time out - await del_agent(agent_1) - with pytest.raises(asyncio.TimeoutError): - await asyncio.wait_for(job_head.get_target_agent(), timeout=3) - - # Enable Head-node routing for the Ray job critical ops (disabling - # random agent sampling) - monkeypatch.setattr( - f"{JobHead.__module__}.RAY_JOB_AGENT_USE_HEAD_NODE_ONLY", True - ) - - # Add 3 agents - await add_agent(agent_1) - await add_agent(agent_2) - await add_agent(agent_3) - - # Make sure returned agent is a head-node - # NOTE: We run 3 tims to make sure we're not hitting branch probabilistically - for _ in range(3): - job_agent_client = await job_head.get_target_agent() - assert job_agent_client._agent_address == "http://1.1.1.1:1" - - # Disable Head-node routing for the Ray job critical ops (enabling - # random agent sampling) - monkeypatch.setattr( - f"{JobHead.__module__}.RAY_JOB_AGENT_USE_HEAD_NODE_ONLY", False - ) - - # Theoretically, the probability of failure is 1/3^100 - addresses_1 = set() - for address in range(100): - job_agent_client = await job_head.get_target_agent() - addresses_1.add(job_agent_client._agent_address) - assert len(addresses_1) == 2 - addresses_2 = set() - for address in range(100): - job_agent_client = await job_head.get_target_agent() - addresses_2.add(job_agent_client._agent_address) - assert len(addresses_2) == 2 and addresses_1 == addresses_2 - - for agent in [agent_1, agent_2, agent_3]: - if f"http://{agent[1]['httpAddress']}" in addresses_2: - break - await del_agent(agent) - - # Theoretically, the probability of failure is 1/2^100 - addresses_3 = set() - for address in range(100): - job_agent_client = await job_head.get_target_agent() - addresses_3.add(job_agent_client._agent_address) - assert len(addresses_3) == 2 - assert addresses_2 - addresses_3 == {f"http://{agent[1]['httpAddress']}"} - addresses_4 = set() - for address in range(100): - job_agent_client = await job_head.get_target_agent() - addresses_4.add(job_agent_client._agent_address) - assert addresses_4 == addresses_3 - - for agent in [agent_1, agent_2, agent_3]: - if f"http://{agent[1]['httpAddress']}" in addresses_4: - break - await del_agent(agent) - address = None - for _ in range(3): - job_agent_client = await job_head.get_target_agent() - assert address is None or address == job_agent_client._agent_address - address = job_agent_client._agent_address - - @pytest.mark.asyncio async def test_get_upload_package(ray_start_context, tmp_path): assert wait_until_server_available(ray_start_context["webui_url"]) diff --git a/python/ray/dashboard/modules/job/tests/test_sdk.py b/python/ray/dashboard/modules/job/tests/test_sdk.py index 41507e3530de..cc7ec6bf0f90 100644 --- a/python/ray/dashboard/modules/job/tests/test_sdk.py +++ b/python/ray/dashboard/modules/job/tests/test_sdk.py @@ -12,7 +12,6 @@ from ray._common.test_utils import wait_for_condition import ray.experimental.internal_kv as kv from ray._private.ray_constants import ( - DEFAULT_DASHBOARD_AGENT_LISTEN_PORT, KV_NAMESPACE_DASHBOARD, ) from ray._private.test_utils import ( @@ -37,8 +36,6 @@ from ray.tests.conftest import _ray_start from ray.util.state import list_nodes -import psutil - def _check_job_succeeded(client: JobSubmissionClient, job_id: str) -> bool: status = client.get_job_status(job_id) @@ -166,13 +163,6 @@ def test_temporary_uri_reference(monkeypatch, expiration_s): print("Internal KV was GC'ed at time ", time.time() - start) -@pytest.fixture -def mock_candidate_number(): - os.environ["CANDIDATE_AGENT_NUMBER"] = "2" - yield - os.environ.pop("CANDIDATE_AGENT_NUMBER", None) - - def get_register_agents_number(gcs_client): keys = gcs_client.internal_kv_keys( prefix=DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX, @@ -188,124 +178,46 @@ def get_register_agents_number(gcs_client): { "include_dashboard": True, "env_vars": { - "CANDIDATE_AGENT_NUMBER": "2", RAY_JOB_ALLOW_DRIVER_ON_WORKER_NODES_ENV_VAR: "1", "RAY_health_check_initial_delay_ms": "0", "RAY_health_check_period_ms": "1000", - "RAY_JOB_AGENT_USE_HEAD_NODE_ONLY": "0", }, } ], indirect=True, ) -def test_job_head_choose_job_agent_E2E(ray_start_cluster_head_with_env_vars): +def test_head_node_job_agent_always_used(ray_start_cluster_head_with_env_vars): + """Makes sure that job submission always uses the head node's job agent. + + 1. Create a cluster with a worker node and a head node. + 2. Submit 10 jobs. + 3. Make sure they all execute on the head node's job agent. + """ cluster = ray_start_cluster_head_with_env_vars assert wait_until_server_available(cluster.webui_url) is True webui_url = cluster.webui_url webui_url = format_web_url(webui_url) client = JobSubmissionClient(webui_url) - gcs_client = GcsClient(address=cluster.gcs_address) - def submit_job_and_wait_finish(): - submission_id = client.submit_job(entrypoint="echo hello") - - wait_for_condition( - _check_job_succeeded, client=client, job_id=submission_id, timeout=30 - ) + cluster_nodes = cluster.list_all_nodes() + assert len(cluster_nodes) == 1 and cluster_nodes[0].is_head + head_node_id = cluster_nodes[0].node_id - head_http_port = DEFAULT_DASHBOARD_AGENT_LISTEN_PORT - worker_1_http_port = 52366 - cluster.add_node(dashboard_agent_listen_port=worker_1_http_port) - wait_for_condition(lambda: get_register_agents_number(gcs_client) == 2, timeout=20) - assert len(cluster.worker_nodes) == 1 - node_try_to_kill = list(cluster.worker_nodes)[0] - - def make_sure_worker_node_run_job(port): - actors = ray.state.actors() - - def _kill_all_driver(): - for _, actor_info in actors.items(): - if actor_info["State"] != "ALIVE": - continue - if actor_info["Name"].startswith("_ray_internal_job_actor"): - proc = psutil.Process(actor_info["Pid"]) - try: - proc.kill() - except Exception: - pass + # add a worker node. + cluster.add_node() - try: - for _, actor_info in actors.items(): - if actor_info["State"] != "ALIVE": - continue - if actor_info["Name"].startswith("_ray_internal_job_actor"): - proc = psutil.Process(actor_info["Pid"]) - parent_proc = proc.parent() - if f"--listen-port={port}" in " ".join(parent_proc.cmdline()): - _kill_all_driver() - return True - except Exception as ex: - print("Got exception:", ex) - raise - client.submit_job(entrypoint="sleep 3600") - return False - - # Make `list(cluster.worker_nodes)[0]` and head node called at least once - wait_for_condition( - lambda: make_sure_worker_node_run_job(worker_1_http_port), timeout=60 - ) - wait_for_condition( - lambda: make_sure_worker_node_run_job(head_http_port), timeout=60 - ) + job_ids = [client.submit_job(entrypoint="echo hello")] - worker_2_http_port = 52367 - cluster.add_node(dashboard_agent_listen_port=worker_2_http_port) - wait_for_condition(lambda: get_register_agents_number(gcs_client) == 3, timeout=20) + for job_id in job_ids: + wait_for_condition( + _check_job_succeeded, client=client, job_id=job_id, timeout=30 + ) - # The third `JobAgent` will not be called here. - submit_job_and_wait_finish() - submit_job_and_wait_finish() - submit_job_and_wait_finish() - - def get_all_new_supervisor_actor_info(old_supervisor_actor_ids): - all_actors = ray.state.state.actor_table(None) - res = dict() - for actor_id, actor_info in all_actors.items(): - if actor_id in old_supervisor_actor_ids: - continue - if not actor_info["Name"].startswith("_ray_internal_job_actor"): - continue - res[actor_id] = actor_info - return res - - old_supervisor_actor_ids = set() - new_supervisor_actor = get_all_new_supervisor_actor_info(old_supervisor_actor_ids) - new_owner_port = set() - for actor_id, actor_info in new_supervisor_actor.items(): - old_supervisor_actor_ids.add(actor_id) - new_owner_port.add(actor_info["OwnerAddress"]["Port"]) - - assert len(new_owner_port) == 2 - old_owner_port = new_owner_port - - node_try_to_kill.kill_raylet() - - # make sure the head updates the info of the dead node. - wait_for_condition(lambda: get_register_agents_number(gcs_client) == 2, timeout=20) - - # Make sure the third JobAgent will be called here. - wait_for_condition( - lambda: make_sure_worker_node_run_job(worker_2_http_port), timeout=60 - ) + actors = ray.state.actors() - new_supervisor_actor = get_all_new_supervisor_actor_info(old_supervisor_actor_ids) - new_owner_port = set() - for actor_id, actor_info in new_supervisor_actor.items(): - old_supervisor_actor_ids.add(actor_id) - new_owner_port.add(actor_info["OwnerAddress"]["Port"]) - assert len(new_owner_port) == 2 - assert len(old_owner_port - new_owner_port) == 1 - assert len(new_owner_port - old_owner_port) == 1 + for _, actor_info in actors.items(): + if actor_info["Name"].startswith("_ray_internal_job_actor"): + assert actor_info["Address"]["NodeID"] == head_node_id @pytest.mark.parametrize( From df2ced91577e361bc08d952f4812f38ae867f7cb Mon Sep 17 00:00:00 2001 From: tannerdwood <71387269+tannerdwood@users.noreply.github.com> Date: Tue, 19 Aug 2025 08:44:44 -0700 Subject: [PATCH 0765/1566] [Core] Update DLAMI Information in aws.md (#55702) Signed-off-by: Tanner Wood Co-authored-by: Tanner Wood Signed-off-by: Douglas Strodtman --- .../vms/user-guides/launching-clusters/aws.md | 34 +++++++++---------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/doc/source/cluster/vms/user-guides/launching-clusters/aws.md b/doc/source/cluster/vms/user-guides/launching-clusters/aws.md index 3f7a3f7aba08..20d8f3298e23 100644 --- a/doc/source/cluster/vms/user-guides/launching-clusters/aws.md +++ b/doc/source/cluster/vms/user-guides/launching-clusters/aws.md @@ -154,7 +154,7 @@ CloudWatch integration with Ray requires an AMI (or Docker image) with the Unifi AMIs with the Unified CloudWatch Agent pre-installed are provided by the Amazon Ray Team, and are currently available in the us-east-1, us-east-2, us-west-1, and us-west-2 regions. Please direct any questions, comments, or issues to the `Amazon Ray Team `_. -The table below lists AMIs with the Unified CloudWatch Agent pre-installed in each region, and you can also find AMIs at `amazon-ray README `_. +The table below lists AMIs with the Unified CloudWatch Agent pre-installed in each region, and you can also find AMIs at `DLAMI Release Notes `_. Each DLAMI (Deep Learning AMI) is pre-installed with the Unified CloudWatch Agent, and its corresponding release notes include AWS CLI commands to query the latest AMI ID. .. list-table:: All available unified CloudWatch agent images @@ -162,22 +162,22 @@ The table below lists AMIs with the Unified CloudWatch Agent pre-installed in ea - AMI ID - Region - Unified CloudWatch Agent Version - * - AWS Deep Learning AMI (Ubuntu 18.04, 64-bit) - - ami-069f2811478f86c20 + * - AWS Deep Learning AMI (Ubuntu 24.04, 64-bit) + - ami-087feac195f30e722 - us-east-1 - - v1.247348.0b251302 - * - AWS Deep Learning AMI (Ubuntu 18.04, 64-bit) - - ami-058cc0932940c2b8b + - v1.300057.1b1167 + * - AWS Deep Learning AMI (Ubuntu 24.04, 64-bit) + - ami-0ed6c422a7c93278a - us-east-2 - - v1.247348.0b251302 - * - AWS Deep Learning AMI (Ubuntu 18.04, 64-bit) - - ami-044f95c9ef12883ef + - v1.300057.1b1167 + * - AWS Deep Learning AMI (Ubuntu 24.04, 64-bit) + - ami-0c5ddf2c101267018 - us-west-1 - - v1.247348.0b251302 - * - AWS Deep Learning AMI (Ubuntu 18.04, 64-bit) - - ami-0d88d9cbe28fac870 + - v1.300057.1b1167 + * - AWS Deep Learning AMI (Ubuntu 24.04, 64-bit) + - ami-0cfd95c6c87d00570 - us-west-2 - - v1.247348.0b251302 + - v1.300057.1b1167 .. note:: @@ -213,12 +213,12 @@ Getting started ray.head.default: node_config: InstanceType: c5a.large - ImageId: ami-0d88d9cbe28fac870 # Unified CloudWatch agent pre-installed AMI, us-west-2 + ImageId: ami-0cfd95c6c87d00570 # Unified CloudWatch agent pre-installed AMI, us-west-2 resources: {} ray.worker.default: node_config: InstanceType: c5a.large - ImageId: ami-0d88d9cbe28fac870 # Unified CloudWatch agent pre-installed AMI, us-west-2 + ImageId: ami-0cfd95c6c87d00570 # Unified CloudWatch agent pre-installed AMI, us-west-2 IamInstanceProfile: Name: ray-autoscaler-cloudwatch-v1 resources: {} @@ -275,11 +275,11 @@ The following CLI command returns the latest available Unified CloudWatch Agent ray.head.default: node_config: InstanceType: c5a.large - ImageId: ami-0d88d9cbe28fac870 + ImageId: ami-0cfd95c6c87d00570 ray.worker.default: node_config: InstanceType: c5a.large - ImageId: ami-0d88d9cbe28fac870 + ImageId: ami-0cfd95c6c87d00570 To build your own AMI with the Unified CloudWatch Agent installed: From 43f0ccf63ea7dad17af6f3e188373774fcb8cedb Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 19 Aug 2025 08:58:10 -0700 Subject: [PATCH 0766/1566] [core] Fix actor import error message for async actors (#55722) ## Summary When the Ray actor class fails to import upon actor creation, we create a TemporaryActor in its place to emit an error message. However, for async actors, the TemporaryActor creation fails to initialize due having no async methods. This PR adds a dummy async method to handle this case. ## Example error ```python Traceback (most recent call last): File "", line 1, in File "", line 35, in File "/Users/justin/Developer/ray/python/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/Users/justin/Developer/ray/python/ray/_private/client_mode_hook.py", line 104, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/Users/justin/Developer/ray/python/ray/_private/worker.py", line 2896, in get values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/justin/Developer/ray/python/ray/_private/worker.py", line 970, in get_objects raise value ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::Foo.__init__() (pid=42078, ip=127.0.0.1, actor_id=7000b00899a3a8b1d05bbdc601000000, repr=<__main__.FunctionActorManager._create_fake_actor_class..TemporaryActor object at 0x10732dc10>) ray.exceptions.ActorDiedError: The actor died unexpectedly before finishing this task. class_name: TemporaryActor actor_id: 7000b00899a3a8b1d05bbdc601000000 Failed to create actor. You set the async flag, but the actor does not have any coroutine functions. (TemporaryActor pid=42078) The original cause of the RayTaskError () isn't serializable: cannot pickle 'google._upb._message.Descriptor' object. Overwriting the cause to a RayError. ``` --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- python/ray/_private/function_manager.py | 6 +++++- python/ray/tests/test_output.py | 7 ++++--- 2 files changed, 9 insertions(+), 4 deletions(-) diff --git a/python/ray/_private/function_manager.py b/python/ray/_private/function_manager.py index 854a50249d0a..76d98d536d62 100644 --- a/python/ray/_private/function_manager.py +++ b/python/ray/_private/function_manager.py @@ -600,7 +600,11 @@ def _create_fake_actor_class( self, actor_class_name, actor_method_names, traceback_str ): class TemporaryActor: - pass + async def __dummy_method(self): + """Dummy method for this fake actor class to work for async actors. + Without this method, this temporary actor class fails to initialize + if the original actor class was async.""" + pass def temporary_actor_method(*args, **kwargs): raise RuntimeError( diff --git a/python/ray/tests/test_output.py b/python/ray/tests/test_output.py index 1ab0d893e889..a753040931bf 100644 --- a/python/ray/tests/test_output.py +++ b/python/ray/tests/test_output.py @@ -351,8 +351,9 @@ def _check_events(): @pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.") -def test_fail_importing_actor(): - script = """ +@pytest.mark.parametrize("async_actor", [True, False]) +def test_fail_importing_actor(async_actor): + script = f""" import os import sys import tempfile @@ -380,7 +381,7 @@ class Foo: def __init__(self): self.x = module.temporary_python_file() - def ready(self): + {"async " if async_actor else ""}def ready(self): pass finally: os.unlink(f.name) From 25bbd57f4f68113ed4ecf9e835481294639fa8cb Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Tue, 19 Aug 2025 10:36:27 -0700 Subject: [PATCH 0767/1566] GPU ObjectRef w/in data structures validation before serialization (#55027) Right now we only allow passing GPU ObjectRefs as direct arguments. Passing the ObjectRefs inside of a Python data structure like a list and then calling ray.get on the other side will error. We should throw an exception for now until this is supported. Added validation for list objects in worker.py that there are no GPU object ref elements. Closes #54997 --------- Signed-off-by: avigyabb Signed-off-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Co-authored-by: Stephanie Wang Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 11 +++++++++ python/ray/tests/test_gpu_objects_gloo.py | 30 +++++++++++++++++++++++ 2 files changed, 41 insertions(+) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 077aa90c3f57..81b502882e28 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -161,6 +161,17 @@ def compiled_dag_ref_reducer(obj): def object_ref_reducer(obj): worker = ray._private.worker.global_worker worker.check_connected() + + # Check if this is a GPU ObjectRef being serialized inside a collection + if ( + self.is_in_band_serialization() + and worker.gpu_object_manager.is_managed_object(obj.hex()) + ): + raise ValueError( + "Passing GPU ObjectRefs inside data structures is not yet supported. " + "Pass GPU ObjectRefs directly as task arguments instead. For example, use `foo.remote(ref)` instead of `foo.remote([ref])`." + ) + self.add_contained_object_ref( obj, allow_out_of_band_serialization=( diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 9a771eb2f052..ff0c233a43bb 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -494,6 +494,36 @@ def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular) assert torch.equal(ret_val_src[1], td["reward"]) +def test_gpu_object_ref_in_list_throws_exception(ray_start_regular): + """Test that passing GPU ObjectRefs inside lists as task arguments raises an error.""" + + print("loc2") + actor = GPUTestActor.remote() + create_collective_group([actor], backend="torch_gloo") + + tensor = torch.randn((1,)) + + # Test: GPU ref passed directly to task should work + gpu_ref = actor.echo.remote(tensor) + result = actor.double.remote(gpu_ref) + assert ray.get(result) == pytest.approx(tensor * 2) + + # Test: GPU ref inside a list should fail during task submission + with pytest.raises( + ValueError, + match="Passing GPU ObjectRefs inside data structures is not yet supported", + ): + actor.double.remote([gpu_ref]) + + # Test: Mixed list with GPU ref and normal data should also fail + normal_ref = ray.put("normal_data") + with pytest.raises( + ValueError, + match="Passing GPU ObjectRefs inside data structures is not yet supported", + ): + actor.double.remote([gpu_ref, normal_ref]) + + def test_app_error_inter_actor(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] From 4b49468d9d74db77cbd9c445c55b0593131eaeb5 Mon Sep 17 00:00:00 2001 From: Ricardo Decal Date: Tue, 19 Aug 2025 11:47:46 -0700 Subject: [PATCH 0768/1566] [Benchmark] Upstreaming text embeddings benchmarks (#54912) ## Why are these changes needed? Upstreams the text embeddings benchmarks to fill out dashboards ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Ricardo Decal Signed-off-by: Douglas Strodtman --- .../dataset/autoscaling_gpu_g6e_2xl_aws.yaml | 18 ++ .../dataset/fixed_size_gpu_g6e_2xl_aws.yaml | 18 ++ .../dataset/text_embeddings_benchmark.py | 196 ++++++++++++++++++ .../byod/requirements_llm_byod_3.11.txt | 2 + release/release_tests.yaml | 49 +++++ 5 files changed, 283 insertions(+) create mode 100644 release/nightly_tests/dataset/autoscaling_gpu_g6e_2xl_aws.yaml create mode 100644 release/nightly_tests/dataset/fixed_size_gpu_g6e_2xl_aws.yaml create mode 100644 release/nightly_tests/dataset/text_embeddings_benchmark.py diff --git a/release/nightly_tests/dataset/autoscaling_gpu_g6e_2xl_aws.yaml b/release/nightly_tests/dataset/autoscaling_gpu_g6e_2xl_aws.yaml new file mode 100644 index 000000000000..d8ca5be2d561 --- /dev/null +++ b/release/nightly_tests/dataset/autoscaling_gpu_g6e_2xl_aws.yaml @@ -0,0 +1,18 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +head_node_type: + name: head_node + instance_type: m5.2xlarge + +worker_node_types: + - name: 1xL40S_8CPU_64GB + instance_type: g6e.2xlarge + max_workers: 15 + min_workers: 0 + use_spot: false + - name: 16CPU_64GB + instance_type: m5.4xlarge + max_workers: 20 + min_workers: 0 + use_spot: false diff --git a/release/nightly_tests/dataset/fixed_size_gpu_g6e_2xl_aws.yaml b/release/nightly_tests/dataset/fixed_size_gpu_g6e_2xl_aws.yaml new file mode 100644 index 000000000000..bcb5da42d911 --- /dev/null +++ b/release/nightly_tests/dataset/fixed_size_gpu_g6e_2xl_aws.yaml @@ -0,0 +1,18 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +head_node_type: + name: head_node + instance_type: m5.2xlarge + +worker_node_types: + - name: 1xL40S_8CPU_64GB + instance_type: g6e.2xlarge + max_workers: 15 + min_workers: 15 + use_spot: false + - name: 16CPU_64GB + instance_type: m5.4xlarge + max_workers: 20 + min_workers: 20 + use_spot: false diff --git a/release/nightly_tests/dataset/text_embeddings_benchmark.py b/release/nightly_tests/dataset/text_embeddings_benchmark.py new file mode 100644 index 000000000000..e2fbccff429d --- /dev/null +++ b/release/nightly_tests/dataset/text_embeddings_benchmark.py @@ -0,0 +1,196 @@ +""" +Benchmark a text embeddings job +""" + +import argparse +import uuid +import time +from typing import Dict, List +from numpy import ndarray + +import ray +import torch +from sentence_transformers import SentenceTransformer +from langchain_text_splitters import ( + RecursiveCharacterTextSplitter, + CharacterTextSplitter, +) + +from benchmark import Benchmark, BenchmarkMetric + +# Subset of the data so that benchmark completes in ~20 minutes. +DEFAULT_SOURCE_DIRECTORY_S3 = "s3://air-example-data/common-pile-mirror/arxiv_papers/arxiv_papers-train-00001-of-00042.parquet" +# Add a random prefix to avoid conflicts between different runs. +WRITE_PATH = f"s3://ray-data-write-benchmark/{uuid.uuid4().hex}/" + + +def parse_args(): + parser = argparse.ArgumentParser( + description="Text Embeddings Batch Inference Benchmark" + ) + parser.add_argument( + "--source-directory", + type=str, + default=DEFAULT_SOURCE_DIRECTORY_S3, + help="S3 URI of source documents", + ) + parser.add_argument( + "--chunk-concurrency", + type=int, + default=20, + help="Concurrency for Chunker stage", + ) + parser.add_argument( + "--chunk-cpus", type=int, default=None, help="Number of CPUs per Chunker" + ) + parser.add_argument( + "--chunk-method", + choices=["fixed", "recursive"], + default="recursive", + help="Chunking method", + ) + parser.add_argument( + "--chunk-size", type=int, default=1200, help="Chunk size for text splitting" + ) + parser.add_argument( + "--chunk-overlap", + type=int, + default=100, + help="Number of overlapping boundary characters between text chunks.", + ) + parser.add_argument( + "--embed-batch-size", + type=int, + default=256, + help="Batch size for embedding inference", + ) + parser.add_argument( + "--embed-concurrency", + type=int, + default=15, + help="Number of Embedder replicas", + ) + parser.add_argument( + "--num-gpus", type=int, default=1, help="Number of GPUs per Embedder" + ) + parser.add_argument( + "--model-name", + type=str, + default="Salesforce/SFR-Embedding-Code-400M_R", + help="Embedding model name", + ) + parser.add_argument( + "--smoke-test", + action="store_true", + help="Runs a smoke test with a small subset of the data", + ) + parser.add_argument( + "--chaos-test", + action="store_true", + default=False, + help="Enable chaos testing to simulate node failures", + ) + return parser.parse_args() + + +class Chunker: + def __init__(self, method: str, chunk_size: int, chunk_overlap: int): + if method == "fixed": + self.splitter = CharacterTextSplitter( + chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) + else: + self.splitter = RecursiveCharacterTextSplitter( + chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) + + def __call__(self, page: Dict) -> List[Dict]: + return [ + { + "text": text, + "source": page["source"], + "chunk_id": f"{page['id']}_{str(uuid.uuid4())}", + "doc_id": page["id"], + } + for text in self.splitter.split_text(page["text"]) + ] + + +class Embedder: + def __init__(self, model_name: str): + self.model = SentenceTransformer( + model_name, + device="cuda" if torch.cuda.is_available() else "cpu", + trust_remote_code=True, + ) + + def __call__(self, batch: Dict[str, ndarray]) -> Dict[str, ndarray]: + batch["embeddings"] = self.model.encode( + batch["text"], convert_to_numpy=True, batch_size=len(batch["text"]) + ) + return batch + + +def main(args): + start_time = time.time() + ds = ray.data.read_parquet( + args.source_directory, + include_paths=True, + ) + metadata_fetch_end = time.time() + metadata_fetching_s = metadata_fetch_end - start_time + if args.smoke_test: + ds = ds.limit(100) + + ds = ds.flat_map( + Chunker( + method=args.chunk_method, + chunk_size=args.chunk_size, + chunk_overlap=args.chunk_overlap, + ), + concurrency=args.chunk_concurrency, + num_cpus=args.chunk_cpus, + ) + ds = ds.map_batches( + Embedder, + fn_constructor_kwargs={"model_name": args.model_name}, + batch_size=args.embed_batch_size, + concurrency=args.embed_concurrency, + num_gpus=args.num_gpus, + ) + ds.write_parquet(WRITE_PATH, num_rows_per_file=5_000) + end_time = time.time() + runtime_s = end_time - start_time + num_rows = ray.data.read_parquet(WRITE_PATH).count() + throughput_rows_s = num_rows / runtime_s + + # Compute metrics for time and throughput without metadata fetch + runtime_s_wo_metadata_fetch = end_time - metadata_fetch_end + throughput_rows_s_wo_metadata_fetch = num_rows / runtime_s_wo_metadata_fetch + + # Report chaos testing node failures + if args.chaos_test: + dead_nodes = [node["NodeID"] for node in ray.nodes() if not node["Alive"]] + assert dead_nodes, "No dead nodes during chaos test" + print(f"Total chaos killed: {dead_nodes}") + + return { + BenchmarkMetric.RUNTIME: runtime_s, + BenchmarkMetric.NUM_ROWS: num_rows, + BenchmarkMetric.THROUGHPUT: throughput_rows_s, + "source_directory": args.source_directory, + "model_name": args.model_name, + "chunk_method": args.chunk_method, + "metadata_fetching_s": metadata_fetching_s, + "runtime_s_wo_metadata_fetch": runtime_s_wo_metadata_fetch, + "throughput_rows_s_wo_metadata_fetch": throughput_rows_s_wo_metadata_fetch, + "chaos_test": args.chaos_test, + } + + +if __name__ == "__main__": + args = parse_args() + print(f"Writing to {WRITE_PATH}") + benchmark = Benchmark() + benchmark.run_fn("text-embeddings-benchmark", main, args) + benchmark.write_result() diff --git a/release/ray_release/byod/requirements_llm_byod_3.11.txt b/release/ray_release/byod/requirements_llm_byod_3.11.txt index 2bf87ef15bed..e2558df8f389 100644 --- a/release/ray_release/byod/requirements_llm_byod_3.11.txt +++ b/release/ray_release/byod/requirements_llm_byod_3.11.txt @@ -3,3 +3,5 @@ pytest-timeout==2.1.0 locust==2.33.0 orjson==3.10.15 backoff==2.2.1 +langchain_text_splitters==0.3.9 +sentence-transformers==5.1.0 diff --git a/release/release_tests.yaml b/release/release_tests.yaml index df48adcc55d7..d62589e6f1b9 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4604,6 +4604,55 @@ pytest -sv test_batch_sglang.py +- name: text_embeddings_benchmark_{{scaling}} + frequency: nightly + python: "3.11" # necessary for the llm-cu128 image + working_dir: nightly_tests + team: data + + cluster: + byod: + type: llm-cu128 + cluster_compute: dataset/{{scaling}}_gpu_g6e_2xl_aws.yaml + + matrix: + setup: + scaling: [fixed_size, autoscaling] + + run: + timeout: 3600 + script: > + python dataset/text_embeddings_benchmark.py --embed-concurrency 15 + +# Note: release tests do not support specifying both 'matrix' and 'variations' +# in a test definition, so split off preemptible tests here. +- name: text_embeddings_benchmark_{{scaling}}_preemptible + frequency: nightly + python: "3.11" + working_dir: nightly_tests + team: data + + cluster: + byod: + type: llm-cu128 + cluster_compute: dataset/{{scaling}}_gpu_g6e_2xl_aws.yaml + + matrix: + setup: + scaling: [fixed_size, autoscaling] + + run: + timeout: 3600 + # Notes: + # - Not using true spot instances. We simulate spot preemption using TerminateEC2InstanceWithGracePeriod to soft-kill the workers. This is so that we can + # control the kill schedule. + # - Batch size is always fixed, so kill schedule is deterministic. + prepare: > + python setup_chaos.py --chaos TerminateEC2InstanceWithGracePeriod + --batch-size-to-kill 5 --max-to-kill 15 --kill-delay 30 --kill-interval 100 + script: > + python dataset/text_embeddings_benchmark.py --chaos-test --embed-concurrency 15 + ####################### # Ray examples tests ####################### From 683d2a4e0f5cc9de886485a58b1afa47375e90f2 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 19 Aug 2025 12:05:54 -0700 Subject: [PATCH 0769/1566] [data] data metrics grouping (#55495) https://github.com/user-attachments/assets/8caa7448-35b1-4945-9e41-82fd9efca4f3 ## Why are these changes needed? - ray data dashboard is ugly - grouping them into pending inputs, inputs, outputs, overview, pending outputs, scheduling loop, resource usage/budget, and iteration - also changed the metric from external outqueue of op1 to external inqueue of op2 (so that i can combine the internal + external inqueues easily) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 1640 +++++++++-------- .../interfaces/op_runtime_metrics.py | 8 +- .../execution/streaming_executor_state.py | 5 +- python/ray/data/tests/test_stats.py | 27 +- 4 files changed, 941 insertions(+), 739 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index b763d30ca950..f73736e3c56c 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -4,6 +4,7 @@ DashboardConfig, Panel, Target, + Row, ) # When adding a new panels for an OpRuntimeMetric, follow this format: @@ -15,7 +16,7 @@ # targets=[ # Target( # expr=f"sum(ray_data_{metric.name}" -# + "{{{global_filters}}}) by (dataset, operator)", +# + "{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)", # legend=legend, # ) # ], @@ -24,738 +25,931 @@ # ) -DATA_GRAFANA_PANELS = [ - # Ray Data Metrics (Overview) - Panel( - id=1, - title="Bytes Spilled", - description="Amount spilled by dataset operators. DataContext.enable_get_object_locations_for_metrics must be set to True to report this metric", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_spilled_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Spilled: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=3, - title="Bytes Freed", - description="Amount freed by dataset operators.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_freed_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Freed: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=4, - title="Object Store Memory", - description="Amount of memory store used by dataset operators.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_current_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Current Usage: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=5, - title="CPUs (logical slots)", - description="Logical CPUs allocated to dataset operators.", - unit="cores", - targets=[ - Target( - expr='sum(ray_data_cpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="CPU Usage: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=6, - title="GPUs (logical slots)", - description="Logical GPUs allocated to dataset operators.", - unit="cores", - targets=[ - Target( - expr='sum(ray_data_gpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="GPU Usage: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=7, - title="Bytes Output / Second", - description="Bytes output per second by dataset operators.", - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_output_bytes{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Output / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=55, - title="Max Bytes to Read", - description="Maximum bytes to read from streaming generator buffer.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_max_bytes_to_read{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Max Bytes to Read: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=11, - title="Throughput (Rows Output / Second)", - description="Total rows output per second by dataset operators.", - unit="rows/sec", - targets=[ - Target( - expr='sum(rate(ray_data_output_rows{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Rows Output / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - # Ray Data Metrics (Inputs) - Panel( - id=17, - title="Input Blocks Received by Operator / Second", - description="Number of input blocks received by operator per second.", - unit="blocks/sec", - targets=[ - Target( - expr='sum(rate(ray_data_num_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Blocks Received / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=18, - title="Input Bytes Received by Operator / Second", - description="Byte size of input blocks received by operator per second.", - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_bytes_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Received / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=19, - title="Input Blocks Processed by Tasks / Second", - description=( - "Number of input blocks that operator's tasks have finished processing per second." - ), - unit="blocks/sec", - targets=[ - Target( - expr='sum(rate(ray_data_num_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Blocks Processed / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=20, - title="Input Bytes Processed by Tasks / Second", - description=( - "Byte size of input blocks that operator's tasks have finished processing per second." - ), - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Processed / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=21, - title="Input Bytes Submitted to Tasks / Second", - description="Byte size of input blocks passed to submitted tasks per second.", - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Submitted / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=22, - title="Blocks Generated by Tasks / Second", - description="Number of output blocks generated by tasks per second.", - unit="blocks/sec", - targets=[ - Target( - expr='sum(rate(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Blocks Generated / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=23, - title="Bytes Generated by Tasks / Second", - description="Byte size of output blocks generated by tasks per second.", - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Generated / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=49, - title="Average Bytes Generated / Output Block", - description="Average byte size of output blocks generated by tasks.", - unit="bytes", - targets=[ - Target( - expr='increase(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m])', - legend="Average Bytes Generated / Output Block: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=50, - title="Average Number of Output Blocks / Task", - description="Average number of output blocks generated by tasks.", - unit="blocks", - targets=[ - Target( - expr='increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', - legend="Average Number of Output Blocks / Task: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=24, - title="Rows Generated by Tasks / Second", - description="Number of rows in generated output blocks from finished tasks per second.", - unit="rows/sec", - targets=[ - Target( - expr='sum(rate(ray_data_rows_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Rows Generated / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=25, - title="Output Blocks Taken by Downstream Operators / Second", - description="Number of output blocks taken by downstream operators per second.", - unit="blocks/sec", - targets=[ - Target( - expr='sum(rate(ray_data_num_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Blocks Taken / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=26, - title="Output Bytes Taken by Downstream Operators / Second", - description=( - "Byte size of output blocks taken by downstream operators per second." - ), - unit="Bps", - targets=[ - Target( - expr='sum(rate(ray_data_bytes_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', - legend="Bytes Taken / Second: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=43, - title="Output Bytes from Finished Tasks / Second (by Node)", - description=( - "Byte size of output blocks from finished tasks per second, grouped by node." +# Ray Data Metrics (Overview) +BYTES_SPILLED_PANEL = Panel( + id=1, + title="Bytes Spilled", + description="Amount spilled by dataset operators. DataContext.enable_get_object_locations_for_metrics must be set to True to report this metric", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_spilled_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Spilled: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +BYTES_FREED_PANEL = Panel( + id=3, + title="Bytes Freed", + description="Amount freed by dataset operators.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_freed_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Freed: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +OBJECT_STORE_MEMORY_PANEL = Panel( + id=4, + title="Object Store Memory", + description="Amount of memory store used by dataset operators.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_current_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Current Usage: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +CPU_USAGE_PANEL = Panel( + id=5, + title="Logical Slots Being Used (CPU)", + description="Logical CPUs currently being used by dataset operators.", + unit="cores", + targets=[ + Target( + expr='sum(ray_data_cpu_usage_cores{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="CPU Usage: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +GPU_USAGE_PANEL = Panel( + id=6, + title="Logical Slots Being Used (GPU)", + description="Logical GPUs currently being used by dataset operators.", + unit="cores", + targets=[ + Target( + expr='sum(ray_data_gpu_usage_cores{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="GPU Usage: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +BYTES_OUTPUT_PER_SECOND_PANEL = Panel( + id=7, + title="Bytes Output / Second", + description="Bytes output per second by dataset operators.", + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_output_bytes{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Output / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +ROWS_OUTPUT_PER_SECOND_PANEL = Panel( + id=11, + title="Rows Output / Second", + description="Total rows output per second by dataset operators.", + unit="rows/sec", + targets=[ + Target( + expr='sum(rate(ray_data_output_rows{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Rows Output / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +# Ray Data Metrics (Inputs) +INPUT_BLOCKS_RECEIVED_PANEL = Panel( + id=17, + title="Input Blocks Received by Operator / Second", + description="Number of input blocks received by operator per second.", + unit="blocks/sec", + targets=[ + Target( + expr='sum(rate(ray_data_num_inputs_received{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Blocks Received / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INPUT_BYTES_RECEIVED_PANEL = Panel( + id=18, + title="Input Bytes Received by Operator / Second", + description="Byte size of input blocks received by operator per second.", + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_inputs_received{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Received / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INPUT_BLOCKS_PROCESSED_PANEL = Panel( + id=19, + title="Input Blocks Processed by Tasks / Second", + description=( + "Number of input blocks that operator's tasks have finished processing per second." + ), + unit="blocks/sec", + targets=[ + Target( + expr='sum(rate(ray_data_num_task_inputs_processed{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Blocks Processed / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INPUT_BYTES_PROCESSED_PANEL = Panel( + id=20, + title="Input Bytes Processed by Tasks / Second", + description=( + "Byte size of input blocks that operator's tasks have finished processing per second." + ), + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Processed / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INPUT_BYTES_SUBMITTED_PANEL = Panel( + id=21, + title="Input Bytes Submitted to Tasks / Second", + description="Byte size of input blocks passed to submitted tasks per second.", + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Submitted / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +# Ray Data Metrics (Outputs) +BLOCKS_GENERATED_PANEL = Panel( + id=22, + title="Blocks Generated by Tasks / Second", + description="Number of output blocks generated by tasks per second.", + unit="blocks/sec", + targets=[ + Target( + expr='sum(rate(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Blocks Generated / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +BYTES_GENERATED_PANEL = Panel( + id=23, + title="Bytes Generated by Tasks / Second", + description="Byte size of output blocks generated by tasks per second.", + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Generated / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +ROWS_GENERATED_PANEL = Panel( + id=24, + title="Rows Generated by Tasks / Second", + description="Number of rows in generated output blocks from finished tasks per second.", + unit="rows/sec", + targets=[ + Target( + expr='sum(rate(ray_data_rows_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Rows Generated / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +OUTPUT_BLOCKS_TAKEN_PANEL = Panel( + id=25, + title="Output Blocks Taken by Downstream Operators / Second", + description="Number of output blocks taken by downstream operators per second.", + unit="blocks/sec", + targets=[ + Target( + expr='sum(rate(ray_data_num_outputs_taken{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Blocks Taken / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +OUTPUT_BYTES_TAKEN_PANEL = Panel( + id=26, + title="Output Bytes Taken by Downstream Operators / Second", + description=( + "Byte size of output blocks taken by downstream operators per second." + ), + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_outputs_taken{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + legend="Bytes Taken / Second: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +AVERAGE_BYTES_PER_BLOCK_PANEL = Panel( + id=49, + title="Average Bytes Generated / Output Block", + description="Average byte size of output blocks generated by tasks.", + unit="bytes", + targets=[ + Target( + expr='increase(ray_data_bytes_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m])', + legend="Average Bytes Generated / Output Block: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +AVERAGE_BLOCKS_PER_TASK_PANEL = Panel( + id=50, + title="Average Number of Output Blocks / Task", + description="Average number of output blocks generated by tasks.", + unit="blocks", + targets=[ + Target( + expr='increase(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + legend="Average Number of Output Blocks / Task: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +OUTPUT_BYTES_BY_NODE_PANEL = Panel( + id=43, + title="Output Bytes from Finished Tasks / Second (by Node)", + description=( + "Byte size of output blocks from finished tasks per second, grouped by node." + ), + unit="Bps", + targets=[ + Target( + expr='sum(rate(ray_data_bytes_outputs_of_finished_tasks_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + legend="Bytes output / Second: {{dataset}}, {{node_ip}}", + ) + ], + fill=0, + stack=False, +) + +BLOCKS_BY_NODE_PANEL = Panel( + id=48, + title="Blocks from Finished Tasks / Second (by Node)", + description=( + "Number of output blocks from finished tasks per second, grouped by node." + ), + unit="blocks/s", + targets=[ + Target( + expr='sum(rate(ray_data_blocks_outputs_of_finished_tasks_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + legend="Blocks output / Second: {{dataset}}, {{node_ip}}", + ) + ], + fill=0, + stack=False, +) + +# Ray Data Metrics (Tasks) +SUBMITTED_TASKS_PANEL = Panel( + id=29, + title="Submitted Tasks", + description="Number of submitted tasks.", + unit="tasks", + targets=[ + Target( + expr='sum(ray_data_num_tasks_submitted{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Submitted Tasks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +RUNNING_TASKS_PANEL = Panel( + id=30, + title="Running Tasks", + description="Number of running tasks.", + unit="tasks", + targets=[ + Target( + expr='sum(ray_data_num_tasks_running{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Running Tasks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +TASKS_WITH_OUTPUT_PANEL = Panel( + id=31, + title="Tasks with output blocks", + description="Number of tasks that already have output.", + unit="tasks", + targets=[ + Target( + expr='sum(ray_data_num_tasks_have_outputs{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Tasks with output blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +FINISHED_TASKS_PANEL = Panel( + id=32, + title="Finished Tasks", + description="Number of finished tasks.", + unit="tasks", + targets=[ + Target( + expr='sum(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Finished Tasks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +FAILED_TASKS_PANEL = Panel( + id=33, + title="Failed Tasks", + description="Number of failed tasks.", + unit="tasks", + targets=[ + Target( + expr='sum(ray_data_num_tasks_failed{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Failed Tasks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +TASK_THROUGHPUT_BY_NODE_PANEL = Panel( + id=46, + title="Task Throughput (by Node)", + description="Number of finished tasks per second, grouped by node.", + unit="tasks/s", + targets=[ + Target( + expr='sum(rate(ray_data_num_tasks_finished_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + legend="Finished Tasks: {{dataset}}, {{node_ip}}", + ) + ], + fill=0, + stack=False, +) + +BLOCK_GENERATION_TIME_PANEL = Panel( + id=8, + title="Block Generation Time", + description="Time spent generating blocks in tasks.", + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_block_generation_time{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Block Generation Time: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +TASK_SUBMISSION_BACKPRESSURE_PANEL = Panel( + id=37, + title="Task Submission Backpressure Time", + description="Time spent in task submission backpressure.", + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_task_submission_backpressure_time{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Backpressure Time: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +# Task Completion Time Percentiles +TASK_COMPLETION_TIME_PANEL = Panel( + id=38, + title="Task Completion Time", + description="Time spent running tasks to completion w/ backpressure.", + unit="seconds", + targets=[ + Target( + expr='increase(ray_data_task_completion_time{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + legend="Task Completion Time: {{dataset}}, {{operator}}", ), - unit="Bps", - targets=[ - Target( - expr="sum(rate(ray_data_bytes_outputs_of_finished_tasks_per_node{{{global_filters}}}[1m])) by (dataset, node_ip)", - legend="Bytes output / Second: {{dataset}}, {{node_ip}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=48, - title="Blocks from Finished Tasks / Second (by Node)", - description=( - "Number of output blocks from finished tasks per second, grouped by node." + ], + fill=0, + stack=False, +) + +TASK_OUTPUT_BACKPRESSURE_TIME_PANEL = Panel( + id=39, + title="Task Output Backpressure Time", + description="Time spent in output backpressure.", + unit="seconds", + targets=[ + Target( + expr='increase(ray_data_task_output_backpressure_time{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + legend="Task Output Backpressure Time: {{dataset}}, {{operator}}", ), - unit="blocks/s", - targets=[ - Target( - expr="sum(rate(ray_data_blocks_outputs_of_finished_tasks_per_node{{{global_filters}}}[1m])) by (dataset, node_ip)", - legend="Blocks output / Second: {{dataset}}, {{node_ip}}", - ) - ], - fill=0, - stack=False, - ), - # Ray Data Metrics (Tasks) - Panel( - id=29, - title="Submitted Tasks", - description="Number of submitted tasks.", - unit="tasks", - targets=[ - Target( - expr='sum(ray_data_num_tasks_submitted{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Submitted Tasks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=30, - title="Running Tasks", - description="Number of running tasks.", - unit="tasks", - targets=[ - Target( - expr='sum(ray_data_num_tasks_running{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Running Tasks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=31, - title="Tasks with output blocks", - description="Number of tasks that already have output.", - unit="tasks", - targets=[ - Target( - expr='sum(ray_data_num_tasks_have_outputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Tasks with output blocks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=32, - title="Finished Tasks", - description="Number of finished tasks.", - unit="tasks", - targets=[ - Target( - expr='sum(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Finished Tasks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=46, - title="Task Throughput (by Node)", - description="Number of finished tasks per second, grouped by node.", - unit="tasks/s", - targets=[ - Target( - expr="sum(rate(ray_data_num_tasks_finished_per_node{{{global_filters}}}[1m])) by (dataset, node_ip)", - legend="Finished Tasks: {{dataset}}, {{node_ip}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=33, - title="Failed Tasks", - description="Number of failed tasks.", - unit="tasks", - targets=[ - Target( - expr='sum(ray_data_num_tasks_failed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Failed Tasks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=8, - title="Block Generation Time", - description="Time spent generating blocks in tasks.", - unit="seconds", - targets=[ - Target( - expr='sum(ray_data_block_generation_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Block Generation Time: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=37, - title="Task Submission Backpressure Time", - description="Time spent in task submission backpressure.", - unit="seconds", - targets=[ - Target( - expr='sum(ray_data_task_submission_backpressure_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Backpressure Time: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - Panel( - id=38, - title="Task Completion Time", - description="Time spent running tasks to completion w/ backpressure.", - unit="seconds", - targets=[ - Target( - expr='increase(ray_data_task_completion_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', - legend="Task Completion Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=39, - title="Task Output Backpressure Time", - description="Time spent in output backpressure.", - unit="seconds", - targets=[ - Target( - expr='increase(ray_data_task_output_backpressure_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', - legend="Task Output Backpressure Time: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - Panel( - id=40, - title="Task Completion Time Without Backpressure", - description="Time spent running tasks to completion w/o backpressure.", - unit="seconds", - targets=[ - Target( - expr='increase(ray_data_task_completion_time_without_backpressure{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', - legend="Task Completion Time w/o Backpressure: {{dataset}}, {{operator}}", - ), - ], - fill=0, - stack=False, - ), - # Ray Data Metrics (Object Store Memory) - Panel( - id=13, - title="Operator Internal Inqueue Size (Blocks)", - description="Number of blocks in operator's internal input queue", - unit="blocks", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Number of Blocks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=14, - title="Operator Internal Inqueue Size (Bytes)", - description="Byte size of input blocks in the operator's internal input queue.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Size: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - Panel( - id=15, - title="Operator Internal Outqueue Size (Blocks)", - description="Number of blocks in operator's internal output queue", - unit="blocks", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Number of Blocks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=16, - title="Operator Internal Outqueue Size (Bytes)", - description=( - "Byte size of output blocks in the operator's internal output queue." + ], + fill=0, + stack=False, +) + +TASK_COMPLETION_TIME_WITHOUT_BACKPRESSURE_PANEL = Panel( + id=40, + title="Task Completion Time Without Backpressure", + description="Time spent running tasks to completion w/o backpressure.", + unit="seconds", + targets=[ + Target( + expr='increase(ray_data_task_completion_time_without_backpressure{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + legend="Task Completion Time w/o Backpressure: {{dataset}}, {{operator}}", ), - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Size: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - Panel( - id=2, - title="Operator External OutQueue Size (Blocks)", - description="Number of blocks in operator's external output queue", - unit="blocks", - targets=[ - Target( - expr='sum(ray_data_num_output_queue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Number of Blocks: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=27, - title="Operator External OutQueue Size (bytes)", - description="Byte size of blocks in operator's external output queue", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_num_output_queue_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Number of Bytes: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=34, - title="Size of Blocks used in Pending Tasks (Bytes)", - description="Byte size of input blocks used by pending tasks.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Size: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - Panel( - id=35, - title="Freed Memory in Object Store (Bytes)", - description="Byte size of freed memory in object store.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_freed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Size: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - Panel( - id=36, - title="Spilled Memory in Object Store (Bytes)", - description="Byte size of spilled memory in object store.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_obj_store_mem_spilled{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Bytes Size: {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=True, - ), - # Ray Data Metrics (Iteration) - Panel( - id=12, - title="Iteration Initialization Time", - description="Seconds spent in iterator initialization code", - unit="seconds", - targets=[ - Target( - expr="sum(ray_data_iter_initialize_seconds{{{global_filters}}}) by (dataset)", - legend="Seconds: {{dataset}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=9, - title="Iteration Blocked Time", - description="Seconds user thread is blocked by iter_batches()", - unit="seconds", - targets=[ - Target( - expr="sum(ray_data_iter_total_blocked_seconds{{{global_filters}}}) by (dataset)", - legend="Seconds: {{dataset}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=10, - title="Iteration User Time", - description="Seconds spent in user code", - unit="seconds", - targets=[ - Target( - expr="sum(ray_data_iter_user_seconds{{{global_filters}}}) by (dataset)", - legend="Seconds: {{dataset}}", - ) - ], - fill=0, - stack=False, - ), - # Ray Data Metrics (Miscellaneous) - Panel( - id=47, - title="Scheduling Loop Duration", - description=("Duration of the scheduling loop in seconds."), - unit="seconds", - targets=[ - Target( - expr="sum(ray_data_sched_loop_duration_s{{{global_filters}}}) by (dataset)", - legend="Scheduling Loop Duration: {{dataset}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=51, - title="Budget (CPU)", - description=("Budget (CPU) for the operator."), - unit="cpu", - targets=[ - Target( - expr='sum(ray_data_cpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Budget (CPU): {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=52, - title="Budget (GPU)", - description=("Budget (GPU) for the operator."), - unit="gpu", - targets=[ - Target( - expr='sum(ray_data_gpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Budget (GPU): {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=53, - title="Budget (Memory)", - description=("Budget (Memory) for the operator."), - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Budget (Memory): {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, - ), - Panel( - id=54, - title="Budget (Object Store Memory)", - description=("Budget (Object Store Memory) for the operator."), - unit="bytes", - targets=[ - Target( - expr='sum(ray_data_object_store_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', - legend="Budget (Object Store Memory): {{dataset}}, {{operator}}", - ) - ], - fill=0, - stack=False, + ], + fill=0, + stack=False, +) + +# Ray Data Metrics (Object Store Memory) +INTERNAL_INQUEUE_BLOCKS_PANEL = Panel( + id=13, + title="Operator Internal Inqueue Size (Blocks)", + description="Number of blocks in operator's internal input queue", + unit="blocks", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Number of Blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INTERNAL_INQUEUE_BYTES_PANEL = Panel( + id=14, + title="Operator Internal Inqueue Size (Bytes)", + description="Byte size of input blocks in the operator's internal input queue.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Size: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +INTERNAL_OUTQUEUE_BLOCKS_PANEL = Panel( + id=15, + title="Operator Internal Outqueue Size (Blocks)", + description="Number of blocks in operator's internal output queue", + unit="blocks", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Number of Blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +INTERNAL_OUTQUEUE_BYTES_PANEL = Panel( + id=16, + title="Operator Internal Outqueue Size (Bytes)", + description=("Byte size of output blocks in the operator's internal output queue."), + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Size: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +EXTERNAL_INQUEUE_BLOCKS_PANEL = Panel( + id=2, + title="Operator External OutQueue Size (Blocks)", + description="Number of blocks in operator's external output queue", + unit="blocks", + targets=[ + Target( + expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Number of Blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +EXTERNAL_INQUEUE_BYTES_PANEL = Panel( + id=27, + title="Operator External OutQueue Size (bytes)", + description="Byte size of blocks in operator's external output queue", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Number of Bytes: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +# Combined Inqueue and Outqueue Blocks Panel +COMBINED_INQUEUE_OUTQUEUE_BLOCKS_PANEL = Panel( + id=56, + title="Operator Combined Internal + External Inqueue Size (Blocks)", + description="Total number of blocks in operator's internal + external input queue.", + unit="blocks", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters} operator=~"$Operator"}} + ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Combined Blocks: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +PENDING_TASK_INPUTS_PANEL = Panel( + id=34, + title="Size of Blocks used in Pending Tasks (Bytes)", + description="Byte size of input blocks used by pending tasks.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Size: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +FREED_MEMORY_PANEL = Panel( + id=35, + title="Freed Memory in Object Store (Bytes)", + description="Byte size of freed memory in object store.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_freed{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Size: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +SPILLED_MEMORY_PANEL = Panel( + id=36, + title="Spilled Memory in Object Store (Bytes)", + description="Byte size of spilled memory in object store.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_obj_store_mem_spilled{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Bytes Size: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=True, +) + +# Ray Data Metrics (Iteration) +ITERATION_INITIALIZATION_PANEL = Panel( + id=12, + title="Iteration Initialization Time", + description="Seconds spent in iterator initialization code", + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_iter_initialize_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + legend="Seconds: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +ITERATION_BLOCKED_PANEL = Panel( + id=9, + title="Iteration Blocked Time", + description="Seconds user thread is blocked by iter_batches()", + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_iter_total_blocked_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + legend="Seconds: {{dataset}}", + ) + ], + fill=0, + stack=False, +) + +ITERATION_USER_PANEL = Panel( + id=10, + title="Iteration User Time", + description="Seconds spent in user code", + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_iter_user_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + legend="Seconds: {{dataset}}", + ) + ], + fill=0, + stack=False, +) + +# Ray Data Metrics (Miscellaneous) +SCHEDULING_LOOP_DURATION_PANEL = Panel( + id=47, + title="Scheduling Loop Duration", + description=("Duration of the scheduling loop in seconds."), + unit="seconds", + targets=[ + Target( + expr='sum(ray_data_sched_loop_duration_s{{{global_filters} operator=~"$Operator"}}) by (dataset)', + legend="Scheduling Loop Duration: {{dataset}}", + ) + ], + fill=0, + stack=False, +) + +MAX_BYTES_TO_READ_PANEL = Panel( + id=55, + title="Max Bytes to Read", + description="Maximum bytes to read from streaming generator buffer.", + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_max_bytes_to_read{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Max Bytes to Read: {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +# Budget Panels +CPU_BUDGET_PANEL = Panel( + id=51, + title="Budget (CPU)", + description=("Budget (CPU) for the operator."), + unit="cpu", + targets=[ + Target( + expr='sum(ray_data_cpu_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Budget (CPU): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +GPU_BUDGET_PANEL = Panel( + id=52, + title="Budget (GPU)", + description=("Budget (GPU) for the operator."), + unit="gpu", + targets=[ + Target( + expr='sum(ray_data_gpu_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Budget (GPU): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +MEMORY_BUDGET_PANEL = Panel( + id=53, + title="Budget (Memory)", + description=("Budget (Memory) for the operator."), + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_memory_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Budget (Memory): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +OBJECT_STORE_MEMORY_BUDGET_PANEL = Panel( + id=54, + title="Budget (Object Store Memory)", + description=("Budget (Object Store Memory) for the operator."), + unit="bytes", + targets=[ + Target( + expr='sum(ray_data_object_store_memory_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + legend="Budget (Object Store Memory): {{dataset}}, {{operator}}", + ) + ], + fill=0, + stack=False, +) + +DATA_GRAFANA_ROWS = [ + # Overview Row + Row( + title="Overview", + id=99, + panels=[ + BYTES_GENERATED_PANEL, + BLOCKS_GENERATED_PANEL, + ROWS_GENERATED_PANEL, + OBJECT_STORE_MEMORY_PANEL, + RUNNING_TASKS_PANEL, + COMBINED_INQUEUE_OUTQUEUE_BLOCKS_PANEL, + ], + collapsed=False, + ), + # Pending Inputs Row + Row( + title="Pending Inputs", + id=100, + panels=[ + INTERNAL_INQUEUE_BLOCKS_PANEL, + INTERNAL_INQUEUE_BYTES_PANEL, + EXTERNAL_INQUEUE_BLOCKS_PANEL, + EXTERNAL_INQUEUE_BYTES_PANEL, + PENDING_TASK_INPUTS_PANEL, + ], + collapsed=True, + ), + # Inputs Row + Row( + title="Inputs", + id=101, + panels=[ + INPUT_BLOCKS_RECEIVED_PANEL, + INPUT_BYTES_RECEIVED_PANEL, + INPUT_BLOCKS_PROCESSED_PANEL, + INPUT_BYTES_PROCESSED_PANEL, + INPUT_BYTES_SUBMITTED_PANEL, + ], + collapsed=True, + ), + # Pending Outputs Row + Row( + title="Pending Outputs", + id=102, + panels=[ + INTERNAL_OUTQUEUE_BLOCKS_PANEL, + INTERNAL_OUTQUEUE_BYTES_PANEL, + MAX_BYTES_TO_READ_PANEL, + ], + collapsed=True, + ), + # Outputs Row + Row( + title="Outputs", + id=103, + panels=[ + OUTPUT_BLOCKS_TAKEN_PANEL, + OUTPUT_BYTES_TAKEN_PANEL, + OUTPUT_BYTES_BY_NODE_PANEL, + BLOCKS_BY_NODE_PANEL, + BYTES_OUTPUT_PER_SECOND_PANEL, + ROWS_OUTPUT_PER_SECOND_PANEL, + AVERAGE_BYTES_PER_BLOCK_PANEL, + AVERAGE_BLOCKS_PER_TASK_PANEL, + BLOCK_GENERATION_TIME_PANEL, + ], + collapsed=True, + ), + # Tasks + Row( + title="Tasks", + id=104, + panels=[ + TASK_COMPLETION_TIME_PANEL, + TASK_COMPLETION_TIME_WITHOUT_BACKPRESSURE_PANEL, + TASK_OUTPUT_BACKPRESSURE_TIME_PANEL, + TASK_SUBMISSION_BACKPRESSURE_PANEL, + TASK_THROUGHPUT_BY_NODE_PANEL, + TASKS_WITH_OUTPUT_PANEL, + SUBMITTED_TASKS_PANEL, + FINISHED_TASKS_PANEL, + FAILED_TASKS_PANEL, + ], + collapsed=True, + ), + # Resource Budget / Usage Row + Row( + title="Resource Budget / Usage", + id=105, + panels=[ + CPU_USAGE_PANEL, + GPU_USAGE_PANEL, + CPU_BUDGET_PANEL, + GPU_BUDGET_PANEL, + MEMORY_BUDGET_PANEL, + OBJECT_STORE_MEMORY_BUDGET_PANEL, + FREED_MEMORY_PANEL, + SPILLED_MEMORY_PANEL, + BYTES_SPILLED_PANEL, + BYTES_FREED_PANEL, + ], + collapsed=True, + ), + # Scheduling Loop Row + Row( + title="Scheduling Loop", + id=106, + panels=[ + SCHEDULING_LOOP_DURATION_PANEL, + ], + collapsed=True, + ), + # Iteration Row + Row( + title="Iteration", + id=107, + panels=[ + ITERATION_INITIALIZATION_PANEL, + ITERATION_BLOCKED_PANEL, + ITERATION_USER_PANEL, + ], + collapsed=True, ), ] -ids = [] -for panel in DATA_GRAFANA_PANELS: - ids.append(panel.id) -assert len(ids) == len( - set(ids) -), f"Duplicated id found. Use unique id for each panel. {ids}" +# Get all panel IDs from both top-level panels and panels within rows +all_panel_ids = [] +for row in DATA_GRAFANA_ROWS: + all_panel_ids.append(row.id) + all_panel_ids.extend(panel.id for panel in row.panels) + +assert len(all_panel_ids) == len( + set(all_panel_ids) +), f"Duplicated id found. Use unique id for each panel. {all_panel_ids}" data_dashboard_config = DashboardConfig( name="DATA", default_uid="rayDataDashboard", - panels=DATA_GRAFANA_PANELS, + rows=DATA_GRAFANA_ROWS, standard_global_filters=[ 'dataset=~"$DatasetID"', 'SessionName=~"$SessionName"', diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index 47436d5f329b..a7066a979f15 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -324,14 +324,14 @@ class OpRuntimeMetrics(metaclass=OpRuntimesMetricsMeta): description=("Number of rows generated by finished tasks."), metrics_group=MetricsGroup.OUTPUTS, ) - num_output_queue_blocks: int = metric_field( + num_external_inqueue_blocks: int = metric_field( default=0, - description="Number of blocks in the output queue", + description="Number of blocks in the external inqueue", metrics_group=MetricsGroup.OUTPUTS, ) - num_output_queue_bytes: int = metric_field( + num_external_inqueue_bytes: int = metric_field( default=0, - description="Byte size of blocks in the output queue", + description="Byte size of blocks in the external inqueue", metrics_group=MetricsGroup.OUTPUTS, ) diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 717ad190cc5a..586e6817e81f 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -303,8 +303,9 @@ def add_output(self, ref: RefBundle) -> None: self.op.metrics.num_alive_actors = actor_info.running self.op.metrics.num_restarting_actors = actor_info.restarting self.op.metrics.num_pending_actors = actor_info.pending - self.op.metrics.num_output_queue_blocks = self.output_queue.num_blocks - self.op.metrics.num_output_queue_bytes = self.output_queue.memory_usage + for next_op in self.op.output_dependencies: + next_op.metrics.num_external_inqueue_blocks = self.output_queue.num_blocks + next_op.metrics.num_external_inqueue_bytes = self.output_queue.memory_usage def refresh_progress_bar(self, resource_manager: ResourceManager) -> None: """Update the console with the latest operator progress.""" diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 0c93e23bcbd0..0a3a32e9d63e 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -99,8 +99,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': N", "'bytes_outputs_of_finished_tasks': N", "'rows_outputs_of_finished_tasks': N", - "'num_output_queue_blocks': N", - "'num_output_queue_bytes': N", + "'num_external_inqueue_blocks': N", + "'num_external_inqueue_bytes': N", "'num_tasks_submitted': N", "'num_tasks_running': Z", "'num_tasks_have_outputs': N", @@ -160,8 +160,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': Z", "'bytes_outputs_of_finished_tasks': Z", "'rows_outputs_of_finished_tasks': Z", - "'num_output_queue_blocks': N", - "'num_output_queue_bytes': N", + "'num_external_inqueue_blocks': N", + "'num_external_inqueue_bytes': N", "'num_tasks_submitted': Z", "'num_tasks_running': Z", "'num_tasks_have_outputs': Z", @@ -675,8 +675,8 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_output_queue_blocks: N,\n" - " num_output_queue_bytes: N,\n" + " num_external_inqueue_blocks: N,\n" + " num_external_inqueue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -805,8 +805,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_output_queue_blocks: N,\n" - " num_output_queue_bytes: N,\n" + " num_external_inqueue_blocks: N,\n" + " num_external_inqueue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -890,8 +890,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_output_queue_blocks: N,\n" - " num_output_queue_bytes: N,\n" + " num_external_inqueue_blocks: N,\n" + " num_external_inqueue_bytes: N,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -1852,6 +1852,13 @@ def test_op_metrics_logging(): "Operator InputDataBuffer[Input] completed. Operator Metrics:\n" + gen_expected_metrics(is_map=False) ) # .replace("'obj_store_mem_used': N", "'obj_store_mem_used': Z") + # InputDataBuffer has no inqueue, manually set to 0 + input_str = input_str.replace( + "'num_external_inqueue_blocks': N", "'num_external_inqueue_blocks': Z" + ) + input_str = input_str.replace( + "'num_external_inqueue_bytes': N", "'num_external_inqueue_bytes': Z" + ) map_str = ( "Operator TaskPoolMapOperator[ReadRange->MapBatches()] completed. " "Operator Metrics:\n" From 0128b48a2767699ae2005513bf059d634155dfb3 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 19 Aug 2025 15:20:06 -0500 Subject: [PATCH 0770/1566] [core] Combine `RedisClient` into `RedisStoreClient` (#55655) - `RedisClient` was a thin and meaningless abstraction over `RedisContext`, so now the `RedisStoreClient` uses the `RedisContext` directly. - The only other user of `RedisClient` was the "periodic health checker." I've moved this into `RedisStoreClient` as well. - Also removed some unnecessary child classes: `InMemoryGcsTableStorage`, `RedisGcsTableStorage`. Before merging I plan to fold the `RayConfig` options used in `RedisStoreClient` into the `RedisClientOptions`. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- python/ray/includes/global_state_accessor.pxd | 15 +- src/ray/common/ray_config_def.h | 5 +- src/ray/gcs/BUILD.bazel | 34 ----- src/ray/gcs/gcs_client/BUILD.bazel | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 26 ++-- .../gcs/gcs_server/gcs_placement_group_mgr.h | 1 + .../gcs_server/gcs_redis_failure_detector.cc | 60 -------- .../gcs_server/gcs_redis_failure_detector.h | 69 --------- src/ray/gcs/gcs_server/gcs_server.cc | 49 +++---- src/ray/gcs/gcs_server/gcs_server.h | 14 +- src/ray/gcs/gcs_server/gcs_table_storage.cc | 1 + src/ray/gcs/gcs_server/gcs_table_storage.h | 29 +--- src/ray/gcs/gcs_server/tests/BUILD.bazel | 8 +- .../gcs_actor_manager_export_event_test.cc | 4 +- .../gcs_node_manager_export_event_test.cc | 4 +- .../tests/gcs_actor_manager_test.cc | 4 +- .../tests/gcs_actor_scheduler_test.cc | 3 +- .../gcs_server/tests/gcs_kv_manager_test.cc | 10 +- .../tests/gcs_placement_group_mgr_test.cc | 3 +- .../gcs_placement_group_scheduler_test.cc | 3 +- .../gcs_server/tests/gcs_server_test_util.h | 1 + .../tests/gcs_worker_manager_test.cc | 3 +- .../tests/in_memory_gcs_table_storage_test.cc | 3 +- .../tests/redis_gcs_table_storage_test.cc | 14 +- src/ray/gcs/pubsub/BUILD.bazel | 1 - src/ray/gcs/redis_client.cc | 58 -------- src/ray/gcs/redis_client.h | 85 ------------ src/ray/gcs/store_client/BUILD.bazel | 35 +++-- .../{ => store_client}/redis_async_context.cc | 2 +- .../{ => store_client}/redis_async_context.h | 0 .../gcs/{ => store_client}/redis_context.cc | 2 +- .../gcs/{ => store_client}/redis_context.h | 2 +- .../gcs/store_client/redis_store_client.cc | 131 ++++++++++++------ src/ray/gcs/store_client/redis_store_client.h | 61 ++++++-- src/ray/gcs/store_client/tests/BUILD.bazel | 44 +++++- .../tests/redis_async_context_test.cc | 4 +- .../tests/redis_callback_reply_test.cc} | 2 +- .../tests/redis_store_client_test.cc | 12 +- src/ray/gcs/tests/BUILD.bazel | 34 +---- 40 files changed, 298 insertions(+), 542 deletions(-) delete mode 100644 src/ray/gcs/gcs_server/gcs_redis_failure_detector.cc delete mode 100644 src/ray/gcs/gcs_server/gcs_redis_failure_detector.h delete mode 100644 src/ray/gcs/redis_client.cc delete mode 100644 src/ray/gcs/redis_client.h rename src/ray/gcs/{ => store_client}/redis_async_context.cc (99%) rename src/ray/gcs/{ => store_client}/redis_async_context.h (100%) rename src/ray/gcs/{ => store_client}/redis_context.cc (99%) rename src/ray/gcs/{ => store_client}/redis_context.h (99%) rename src/ray/gcs/{ => store_client}/tests/redis_async_context_test.cc (96%) rename src/ray/gcs/{tests/callback_reply_test.cc => store_client/tests/redis_callback_reply_test.cc} (98%) diff --git a/BUILD.bazel b/BUILD.bazel index 1c77a53d4e73..55adc25a0bc2 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -249,10 +249,10 @@ pyx_library( "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs:gcs_redis_client", "//src/ray/gcs/gcs_client:gcs_python_callbacks", "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:serialization_cc_proto", "//src/ray/thirdparty/setproctitle", "//src/ray/util", diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index f6733151e800..1d6e5cd1c8c9 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -71,7 +71,6 @@ cdef extern from * namespace "ray::gcs" nogil: """ #include #include "ray/gcs/gcs_server/store_client_kv.h" - #include "ray/gcs/redis_client.h" #include "ray/gcs/store_client/redis_store_client.h" namespace ray { namespace gcs { @@ -94,23 +93,19 @@ cdef extern from * namespace "ray::gcs" nogil: /*log_rotation_max_size=*/1ULL << 29, /*log_rotation_file_num=*/10); - RedisClientOptions options(host, port, username, password, use_ssl); - std::string config_list; RAY_CHECK(absl::Base64Unescape(config, &config_list)); RayConfig::instance().initialize(config_list); instrumented_io_context io_service{/*enable_lag_probe=*/false, /*running_on_single_thread=*/true}; + // Set heartbeat_interval_ms to 0 to disable health checking for this temporary client. + RedisClientOptions options{host, port, username, password, use_ssl, /*heartbeat_interval_ms=*/0}; - auto redis_client = std::make_shared(options); - auto status = redis_client->Connect(io_service); - RAY_CHECK_OK(status) << "Failed to connect to redis."; - - auto cli = std::make_unique( - std::make_unique(std::move(redis_client))); + auto client = std::make_unique( + std::make_unique(io_service, options)); bool ret_val = false; - cli->Get("session", key, {[&](std::optional result) { + client->Get("session", key, {[&](std::optional result) { if (result.has_value()) { *data = result.value(); ret_val = true; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 827cff80da73..74a932c136a5 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -358,8 +358,9 @@ RAY_CONFIG(uint32_t, RAY_CONFIG(int64_t, gcs_service_connect_retries, 50) /// Waiting time for each gcs service connection. RAY_CONFIG(int64_t, internal_gcs_service_connect_wait_milliseconds, 100) -/// The interval at which the gcs server will check if redis has gone down. -/// When this happens, gcs server will kill itself. +/// The interval at which the gcs server will health check the connection to the +/// external Redis server. If a health check fails, the GCS will crash itself. +/// Set to zero to disable health checking. RAY_CONFIG(uint64_t, gcs_redis_heartbeat_interval_milliseconds, 100) /// Duration to wait between retries for leasing worker in gcs server. RAY_CONFIG(uint32_t, gcs_lease_worker_retry_interval_ms, 200) diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 8c2d190bd421..8ffa4b6639e9 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -1,29 +1,5 @@ load("//bazel:ray.bzl", "ray_cc_library") -ray_cc_library( - name = "gcs_redis_client", - srcs = [ - "redis_async_context.cc", - "redis_client.cc", - "redis_context.cc", - ], - hdrs = [ - "redis_async_context.h", - "redis_client.h", - "redis_context.h", - ], - deps = [ - "//:hiredis", - "//src/ray/common:asio", - "//src/ray/common:ray_config", - "//src/ray/common:status", - "//src/ray/stats:stats_lib", - "//src/ray/util:exponential_backoff", - "//src/ray/util:network_util", - "@boost//:asio", - ], -) - ray_cc_library( name = "gcs_pb_util", srcs = ["pb_utils.cc"], @@ -45,13 +21,3 @@ ray_cc_library( "//src/ray/common:status", ], ) - -ray_cc_library( - name = "gcs", - deps = [ - ":gcs_callback", - ":gcs_pb_util", - ":gcs_redis_client", - "//src/ray/rpc:node_manager_client", - ], -) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index 3d78c1f66247..dc15ab29dfb5 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -15,7 +15,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:usage_cc_proto", "//src/ray/pubsub:subscriber", "//src/ray/rpc:gcs_client", diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 179b54c35b3d..e698c17d75c2 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -19,10 +19,10 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:status", "//src/ray/gcs:gcs_callback", - "//src/ray/gcs/store_client:gcs_in_memory_store_client", - "//src/ray/gcs/store_client:gcs_observable_store_client", - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client", "//src/ray/protobuf:gcs_cc_proto", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", ], ) @@ -80,7 +80,7 @@ ray_cc_library( hdrs = ["store_client_kv.h"], deps = [ ":gcs_kv_manager", - "//src/ray/gcs/store_client:gcs_store_client", + "//src/ray/gcs/store_client", ], ) @@ -109,17 +109,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "gcs_redis_failure_detector", - srcs = ["gcs_redis_failure_detector.cc"], - hdrs = ["gcs_redis_failure_detector.h"], - deps = [ - "//src/ray/common:asio", - "//src/ray/common:ray_config", - "//src/ray/gcs:gcs_redis_client", - ], -) - ray_cc_library( name = "gcs_worker_manager", srcs = ["gcs_worker_manager.cc"], @@ -233,7 +222,6 @@ ray_cc_library( ":gcs_job_manager", ":gcs_kv_manager", ":gcs_pubsub_handler", - ":gcs_redis_failure_detector", ":gcs_runtime_env_handler", ":gcs_server_io_context_policy", ":gcs_state_util", @@ -243,7 +231,10 @@ ray_cc_library( ":gcs_usage_stats_client", ":gcs_worker_manager", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/gcs/store_client:gcs_observable_store_client", + "//src/ray/gcs/store_client", + "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/gcs/store_client:observable_store_client", + "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/pubsub:publisher", @@ -253,6 +244,7 @@ ray_cc_library( "//src/ray/rpc:gcs_server", "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", + "//src/ray/util:exponential_backoff", "//src/ray/util:network_util", "//src/ray/util:thread_checker", "//src/ray/util:throttler", diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index 36d6e1b8f0b8..fd046856fc17 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -35,6 +35,7 @@ #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/util/counter_map.h" +#include "ray/util/exponential_backoff.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_redis_failure_detector.cc b/src/ray/gcs/gcs_server/gcs_redis_failure_detector.cc deleted file mode 100644 index 79ba225b4202..000000000000 --- a/src/ray/gcs/gcs_server/gcs_redis_failure_detector.cc +++ /dev/null @@ -1,60 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/gcs/gcs_server/gcs_redis_failure_detector.h" - -#include -#include - -#include "ray/common/ray_config.h" -#include "ray/gcs/redis_client.h" - -namespace ray { -namespace gcs { - -GcsRedisFailureDetector::GcsRedisFailureDetector( - instrumented_io_context &io_service, - std::shared_ptr redis_client, - std::function callback) - : io_service_(io_service), - redis_client_(std::move(redis_client)), - callback_(std::move(callback)) {} - -void GcsRedisFailureDetector::Start() { - RAY_LOG(INFO) << "Starting redis failure detector."; - periodical_runner_ = PeriodicalRunner::Create(io_service_); - periodical_runner_->RunFnPeriodically( - [this] { DetectRedis(); }, - RayConfig::instance().gcs_redis_heartbeat_interval_milliseconds(), - "GcsRedisFailureDetector.deadline_timer.detect_redis_failure"); -} - -void GcsRedisFailureDetector::Stop() { - RAY_LOG(INFO) << "Stopping redis failure detector."; - periodical_runner_.reset(); -} - -void GcsRedisFailureDetector::DetectRedis() { - auto redis_callback = [this](const std::shared_ptr &reply) { - if (reply->IsNil()) { - RAY_LOG(ERROR) << "Redis is inactive."; - this->io_service_.dispatch(this->callback_, "GcsRedisFailureDetector.DetectRedis"); - } - }; - auto *cxt = redis_client_->GetPrimaryContext(); - cxt->RunArgvAsync({"PING"}, redis_callback); -} - -} // namespace gcs -} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_redis_failure_detector.h b/src/ray/gcs/gcs_server/gcs_redis_failure_detector.h deleted file mode 100644 index 1928226a33b7..000000000000 --- a/src/ray/gcs/gcs_server/gcs_redis_failure_detector.h +++ /dev/null @@ -1,69 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include - -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" - -namespace ray { -namespace gcs { - -// Forward declaration. -class RedisClient; - -/// GcsRedisFailureDetector is responsible for monitoring redis and binding GCS server and -/// redis life cycle together. GCS client subscribes to redis messages and it cannot sense -/// whether the redis is inactive unless we go to ping redis voluntarily. But there are -/// many GCS clients, if they all Ping redis, the redis load will be high. So we ping -/// redis on GCS server and GCS client can sense whether redis is normal through RPC -/// connection with GCS server. -class GcsRedisFailureDetector { - public: - /// Create a GcsRedisFailureDetector. - /// - /// \param io_service The event loop to run the monitor on. - /// \param redis_context The redis context is used to ping redis. - /// \param callback Callback that will be called when redis is detected as not alive. - explicit GcsRedisFailureDetector(instrumented_io_context &io_service, - std::shared_ptr redis_client, - std::function callback); - - /// Start detecting redis. - void Start(); - - /// Stop detecting redis. - void Stop(); - - protected: - /// Check that if redis is inactive. - void DetectRedis(); - - private: - instrumented_io_context &io_service_; - - std::shared_ptr redis_client_; - - /// The runner to run function periodically. - std::shared_ptr periodical_runner_; - - /// A function is called when redis is detected to be unavailable. - std::function callback_; -}; - -} // namespace gcs -} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index d8d4b502f2a7..44afef0fb65a 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -30,6 +30,10 @@ #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_worker_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/store_client/observable_store_client.h" +#include "ray/gcs/store_client/redis_store_client.h" +#include "ray/gcs/store_client/store_client.h" #include "ray/pubsub/publisher.h" #include "ray/util/network_util.h" #include "ray/util/util.h" @@ -118,25 +122,22 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, // GcsInternalKVManager, to avoid congestion on the latter. RAY_LOG(INFO) << "GCS storage type is " << storage_type_; auto &io_context = io_context_provider_.GetDefaultIOContext(); + std::unique_ptr store_client; switch (storage_type_) { case StorageType::IN_MEMORY: - gcs_table_storage_ = std::make_unique(); + store_client = + std::make_unique(std::make_unique()); break; case StorageType::REDIS_PERSIST: { - auto redis_client = CreateRedisClient(io_context); - gcs_table_storage_ = std::make_unique(redis_client); - // Init redis failure detector. - gcs_redis_failure_detector_ = - std::make_unique(io_context, redis_client, []() { - RAY_LOG(FATAL) << "Redis connection failed. Shutdown GCS."; - }); - gcs_redis_failure_detector_->Start(); + store_client = CreateRedisStoreClient(io_context); break; } default: RAY_LOG(FATAL) << "Unexpected storage type: " << storage_type_; } + gcs_table_storage_ = std::make_unique(std::move(store_client)); + auto inner_publisher = std::make_unique( /*channels=*/ std::vector{ @@ -159,14 +160,6 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, GcsServer::~GcsServer() { Stop(); } -RedisClientOptions GcsServer::GetRedisClientOptions() const { - return RedisClientOptions(config_.redis_address, - config_.redis_port, - config_.redis_username, - config_.redis_password, - config_.enable_redis_ssl); -} - void GcsServer::Start() { // Load gcs tables data asynchronously. auto gcs_init_data = std::make_shared(*gcs_table_storage_); @@ -322,9 +315,6 @@ void GcsServer::Stop() { kv_manager_.reset(); is_stopped_ = true; - if (gcs_redis_failure_detector_) { - gcs_redis_failure_detector_->Stop(); - } RAY_LOG(INFO) << "GCS server stopped."; } @@ -595,8 +585,8 @@ void GcsServer::InitKVManager() { auto &io_context = io_context_provider_.GetIOContext(); switch (storage_type_) { case (StorageType::REDIS_PERSIST): - instance = std::make_unique( - std::make_unique(CreateRedisClient(io_context))); + instance = + std::make_unique(CreateRedisStoreClient(io_context)); break; case (StorageType::IN_MEMORY): instance = std::make_unique( @@ -873,12 +863,17 @@ std::string GcsServer::GetDebugState() const { return stream.str(); } -std::shared_ptr GcsServer::CreateRedisClient( +std::unique_ptr GcsServer::CreateRedisStoreClient( instrumented_io_context &io_service) { - auto redis_client = std::make_shared(GetRedisClientOptions()); - auto status = redis_client->Connect(io_service); - RAY_CHECK_OK(status) << "Failed to init redis gcs client"; - return redis_client; + return std::make_unique( + io_service, + RedisClientOptions{ + config_.redis_address, + config_.redis_port, + config_.redis_username, + config_.redis_password, + config_.enable_redis_ssl, + RayConfig::instance().gcs_redis_heartbeat_interval_milliseconds()}); } void GcsServer::PrintAsioStats() { diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 755a466b172f..491300996a83 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -26,7 +26,6 @@ #include "ray/gcs/gcs_server/gcs_health_check_manager.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_redis_failure_detector.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_server_io_context_policy.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" @@ -35,7 +34,9 @@ #include "ray/gcs/gcs_server/runtime_env_handler.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/gcs/redis_client.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/store_client/observable_store_client.h" +#include "ray/gcs/store_client/redis_store_client.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" @@ -129,9 +130,6 @@ class GcsServer { } protected: - /// Generate the redis client options - RedisClientOptions GetRedisClientOptions() const; - void DoStart(const GcsInitData &gcs_init_data); /// Initialize gcs node manager. @@ -213,8 +211,8 @@ class GcsServer { /// Print the asio event loop stats for debugging. void PrintAsioStats(); - /// Get or connect to a redis server - std::shared_ptr CreateRedisClient(instrumented_io_context &io_service); + std::unique_ptr CreateRedisStoreClient( + instrumented_io_context &io_service); void TryGlobalGC(); @@ -253,8 +251,6 @@ class GcsServer { std::unique_ptr gcs_node_manager_; /// The health check manager. std::shared_ptr gcs_healthcheck_manager_; - /// The gcs redis failure detector. - std::unique_ptr gcs_redis_failure_detector_; /// The gcs placement group manager. std::unique_ptr gcs_placement_group_manager_; /// The gcs actor manager. diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.cc b/src/ray/gcs/gcs_server/gcs_table_storage.cc index df636bee6a8a..49c0b7ca87df 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.cc +++ b/src/ray/gcs/gcs_server/gcs_table_storage.cc @@ -18,6 +18,7 @@ #include #include +#include "absl/container/flat_hash_map.h" #include "ray/common/asio/postable.h" #include "ray/common/id.h" #include "ray/common/status.h" diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.h b/src/ray/gcs/gcs_server/gcs_table_storage.h index af0992cbf4e1..92baeb8f38b4 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.h +++ b/src/ray/gcs/gcs_server/gcs_table_storage.h @@ -19,9 +19,9 @@ #include #include -#include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/store_client/observable_store_client.h" -#include "ray/gcs/store_client/redis_store_client.h" +#include "absl/container/flat_hash_map.h" +#include "absl/container/flat_hash_set.h" +#include "ray/gcs/store_client/store_client.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { @@ -206,10 +206,6 @@ class GcsWorkerTable : public GcsTable { } }; -/// \class GcsTableStorage -/// -/// This class is not meant to be used directly. All gcs table storage classes should -/// derive from this class and override class member variables. class GcsTableStorage { public: explicit GcsTableStorage(std::shared_ptr store_client) @@ -269,24 +265,5 @@ class GcsTableStorage { std::unique_ptr worker_table_; }; -/// \class RedisGcsTableStorage -/// RedisGcsTableStorage is an implementation of `GcsTableStorage` -/// that uses redis as storage. -class RedisGcsTableStorage : public GcsTableStorage { - public: - explicit RedisGcsTableStorage(std::shared_ptr redis_client) - : GcsTableStorage(std::make_shared(std::move(redis_client))) {} -}; - -/// \class InMemoryGcsTableStorage -/// InMemoryGcsTableStorage is an implementation of `GcsTableStorage` -/// that uses memory as storage. -class InMemoryGcsTableStorage : public GcsTableStorage { - public: - explicit InMemoryGcsTableStorage() - : GcsTableStorage(std::make_shared( - std::make_unique())) {} -}; - } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 67d3aa490fde..92254188d8d8 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -82,6 +82,7 @@ ray_cc_library( deps = [ "//:ray_fakes", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs/store_client:in_memory_store_client", ], ) @@ -204,6 +205,7 @@ ray_cc_test( "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -266,7 +268,7 @@ ray_cc_library( "gcs_table_storage_test_base.h", ], deps = [ - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client:redis_store_client", ], ) @@ -303,6 +305,7 @@ ray_cc_test( ":gcs_table_storage_test_lib", "//src/ray/common:test_util", "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client/tests:store_client_test_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -369,6 +372,7 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -386,6 +390,7 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -403,6 +408,7 @@ ray_cc_test( ":gcs_server_test_util", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index a7bc18a0216d..0b5c6494ea3a 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/pubsub/publisher.h" @@ -153,7 +154,8 @@ class GcsActorManagerTest : public ::testing::Test { /*batch_size=*/100); gcs_publisher_ = std::make_unique(std::move(publisher)); - gcs_table_storage_ = std::make_unique(); + gcs_table_storage_ = + std::make_unique(std::make_unique()); kv_ = std::make_unique(); function_manager_ = std::make_unique(*kv_, io_service_); auto actor_scheduler = std::make_unique(); diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc index 52da5b41a4b9..a310f656b7af 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc @@ -21,6 +21,7 @@ #include #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" @@ -50,7 +51,8 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { [this](const rpc::Address &) { return raylet_client_; }); gcs_publisher_ = std::make_unique( std::make_unique()); - gcs_table_storage_ = std::make_unique(); + gcs_table_storage_ = std::make_unique( + std::make_unique()); RayConfig::instance().initialize( R"( diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 8754b5a404dc..80f423f8ffb0 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -24,6 +24,7 @@ #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" @@ -128,7 +129,8 @@ class GcsActorManagerTest : public ::testing::Test { gcs_publisher_ = std::make_unique(std::move(publisher)); store_client_ = std::make_shared(); - gcs_table_storage_ = std::make_unique(); + gcs_table_storage_ = + std::make_unique(std::make_unique()); kv_ = std::make_unique(); function_manager_ = std::make_unique(*kv_, io_service_); auto scheduler = std::make_unique(); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index b11e3f8ed624..72ed153bc9b8 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -44,7 +44,8 @@ class GcsActorSchedulerTest : public ::testing::Test { gcs_publisher_ = std::make_shared( std::make_unique()); store_client_ = std::make_shared(); - gcs_table_storage_ = std::make_shared(); + gcs_table_storage_ = + std::make_unique(std::make_unique()); gcs_node_manager_ = std::make_shared(gcs_publisher_.get(), gcs_table_storage_.get(), io_context_->GetIoService(), diff --git a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc index 228d446e4947..9792fd9e0898 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc @@ -36,13 +36,11 @@ class GcsKVManagerTest : public ::testing::TestWithParam { io_service.get_executor()); io_service.run(); }); - ray::gcs::RedisClientOptions redis_client_options( - "127.0.0.1", ray::TEST_REDIS_SERVER_PORTS.front(), "", "", false); + ray::gcs::RedisClientOptions options{"127.0.0.1", + ray::TEST_REDIS_SERVER_PORTS.front()}; if (GetParam() == "redis") { - auto client = std::make_shared(redis_client_options); - RAY_CHECK_OK(client->Connect(io_service)); kv_instance = std::make_unique( - std::make_unique(client)); + std::make_unique(io_service, options)); } else if (GetParam() == "memory") { kv_instance = std::make_unique( std::make_unique()); @@ -52,11 +50,9 @@ class GcsKVManagerTest : public ::testing::TestWithParam { void TearDown() override { io_service.stop(); thread_io_service->join(); - redis_client.reset(); kv_instance.reset(); } - std::unique_ptr redis_client; std::unique_ptr thread_io_service; instrumented_io_context io_service; std::unique_ptr kv_instance; diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc index 853684b7fd85..ca7355faf94e 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc @@ -85,7 +85,8 @@ class GcsPlacementGroupManagerTest : public ::testing::Test { cluster_resource_manager_(io_service_) { gcs_publisher_ = std::make_shared(std::make_unique()); - gcs_table_storage_ = std::make_unique(); + gcs_table_storage_ = + std::make_unique(std::make_unique()); gcs_node_manager_ = std::make_shared(); gcs_resource_manager_ = std::make_shared( io_service_, cluster_resource_manager_, *gcs_node_manager_, NodeID::FromRandom()); diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc index 26d1a9ea6226..cfeef60a5fa6 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc @@ -46,7 +46,8 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { for (int index = 0; index < 3; ++index) { raylet_clients_.push_back(std::make_shared()); } - gcs_table_storage_ = std::make_shared(); + gcs_table_storage_ = std::make_unique( + std::make_unique()); gcs_publisher_ = std::make_shared( std::make_unique()); auto local_node_id = NodeID::FromRandom(); diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h index 93ad48a844d2..c350f54a3d9d 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -34,6 +34,7 @@ #include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" #include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/store_client/in_memory_store_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc index d1e5f47b90a5..0d34847e9ced 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc @@ -39,7 +39,8 @@ class GcsWorkerManagerTest : public Test { GcsWorkerManagerTest() { gcs_publisher_ = std::make_shared(std::make_unique()); - gcs_table_storage_ = std::make_shared(); + gcs_table_storage_ = + std::make_unique(std::make_unique()); } void SetUp() override { diff --git a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc index 5bd694e52d7f..40c68497f628 100644 --- a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc @@ -26,7 +26,8 @@ namespace ray { class InMemoryGcsTableStorageTest : public gcs::GcsTableStorageTestBase { public: void SetUp() override { - gcs_table_storage_ = std::make_shared(); + gcs_table_storage_ = std::make_shared( + std::make_unique()); } }; diff --git a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc index 591149ec9ffa..9261ca5042d6 100644 --- a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc @@ -29,17 +29,13 @@ class RedisGcsTableStorageTest : public gcs::GcsTableStorageTestBase { static void TearDownTestCase() { TestSetupUtil::ShutDownRedisServers(); } void SetUp() override { - gcs::RedisClientOptions options("127.0.0.1", TEST_REDIS_SERVER_PORTS.front(), "", ""); - redis_client_ = std::make_shared(options); - RAY_CHECK_OK(redis_client_->Connect(*io_service_pool_->Get())); - - gcs_table_storage_ = std::make_shared(redis_client_); + auto &io_service = *io_service_pool_->Get(); + gcs::RedisClientOptions options{"127.0.0.1", TEST_REDIS_SERVER_PORTS.front()}; + gcs_table_storage_ = std::make_shared( + std::make_unique(io_service, options)); } - void TearDown() override { redis_client_->Disconnect(); } - - protected: - std::shared_ptr redis_client_; + void TearDown() override {} }; TEST_F(RedisGcsTableStorageTest, TestGcsTableApi) { TestGcsTableApi(); } diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel index 362186603fe2..5c61f477186a 100644 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ b/src/ray/gcs/pubsub/BUILD.bazel @@ -7,7 +7,6 @@ ray_cc_library( deps = [ "//src/ray/common:ray_config", "//src/ray/gcs:gcs_callback", - "//src/ray/gcs:gcs_redis_client", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:gcs_client", diff --git a/src/ray/gcs/redis_client.cc b/src/ray/gcs/redis_client.cc deleted file mode 100644 index 4f547ac9cb1c..000000000000 --- a/src/ray/gcs/redis_client.cc +++ /dev/null @@ -1,58 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/gcs/redis_client.h" - -#include - -#include "ray/common/ray_config.h" -#include "ray/gcs/redis_context.h" - -extern "C" { -#include "hiredis/hiredis.h" -} - -namespace ray { -namespace gcs { -RedisClient::RedisClient(const RedisClientOptions &options) : options_(options) {} - -Status RedisClient::Connect(instrumented_io_context &io_service) { - RAY_CHECK(!is_connected_); - - if (options_.server_ip_.empty()) { - RAY_LOG(ERROR) << "Failed to connect, redis server address is empty."; - return Status::Invalid("Redis server address is invalid!"); - } - - primary_context_ = std::make_unique(io_service); - - RAY_CHECK_OK(primary_context_->Connect(options_.server_ip_, - options_.server_port_, - /*username=*/options_.username_, - /*password=*/options_.password_, - /*enable_ssl=*/options_.enable_ssl_)); - - is_connected_ = true; - RAY_LOG(DEBUG) << "RedisClient connected."; - - return Status::OK(); -} - -void RedisClient::Disconnect() { - RAY_CHECK(is_connected_); - is_connected_ = false; - RAY_LOG(DEBUG) << "RedisClient disconnected."; -} -} // namespace gcs -} // namespace ray diff --git a/src/ray/gcs/redis_client.h b/src/ray/gcs/redis_client.h deleted file mode 100644 index d3cfcd655128..000000000000 --- a/src/ray/gcs/redis_client.h +++ /dev/null @@ -1,85 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include - -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/status.h" -#include "ray/gcs/redis_context.h" -#include "ray/util/logging.h" - -namespace ray { -namespace gcs { -class RedisClientOptions { - public: - RedisClientOptions(const std::string &ip, - int port, - const std::string &username, - const std::string &password, - bool enable_ssl = false) - : server_ip_(ip), - server_port_(port), - username_(username), - password_(password), - enable_ssl_(enable_ssl) {} - - // Redis server address - std::string server_ip_; - int server_port_; - - // Username of Redis. - std::string username_; - - // Password of Redis. - std::string password_; - - // Whether to use tls/ssl for redis connection - bool enable_ssl_ = false; -}; - -/// \class RedisClient -/// This class is used to send commands to Redis. -class RedisClient { - public: - explicit RedisClient(const RedisClientOptions &options); - - /// Connect to Redis. Non-thread safe. - /// Call this function before calling other functions. - /// - /// \param io_service The event loop for this client. - /// This io_service must be single-threaded. Because `RedisAsioClient` is - /// non-thread safe. - /// \return Status - Status Connect(instrumented_io_context &io_service); - - /// Disconnect with Redis. Non-thread safe. - void Disconnect(); - - RedisContext *GetPrimaryContext() { return primary_context_.get(); } - - protected: - RedisClientOptions options_; - - /// Whether this client is connected to redis. - bool is_connected_{false}; - - // The following context writes everything to the primary shard - std::unique_ptr primary_context_; -}; -} // namespace gcs -} // namespace ray diff --git a/src/ray/gcs/store_client/BUILD.bazel b/src/ray/gcs/store_client/BUILD.bazel index 0be49eb13690..11bd87964695 100644 --- a/src/ray/gcs/store_client/BUILD.bazel +++ b/src/ray/gcs/store_client/BUILD.bazel @@ -1,7 +1,7 @@ load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( - name = "gcs_store_client", + name = "store_client", hdrs = ["store_client.h"], deps = [ "//src/ray/common:asio", @@ -12,25 +12,40 @@ ray_cc_library( ) ray_cc_library( - name = "gcs_redis_store_client", - srcs = ["redis_store_client.cc"], - hdrs = ["redis_store_client.h"], + name = "redis_store_client", + srcs = [ + "redis_async_context.cc", + "redis_context.cc", + "redis_store_client.cc", + ], + hdrs = [ + "redis_async_context.h", + "redis_context.h", + "redis_store_client.h", + ], deps = [ - ":gcs_store_client", + ":store_client", + "//:hiredis", + "//src/ray/common:asio", + "//src/ray/common:ray_config", + "//src/ray/common:status", "//src/ray/gcs:gcs_callback", - "//src/ray/gcs:gcs_redis_client", + "//src/ray/stats:stats_lib", "//src/ray/util:container_util", + "//src/ray/util:exponential_backoff", + "//src/ray/util:network_util", + "@boost//:asio", "@com_google_absl//absl/strings:str_format", "@com_google_absl//absl/synchronization", ], ) ray_cc_library( - name = "gcs_in_memory_store_client", + name = "in_memory_store_client", srcs = ["in_memory_store_client.cc"], hdrs = ["in_memory_store_client.h"], deps = [ - ":gcs_store_client", + ":store_client", "//src/ray/common:asio", "//src/ray/gcs:gcs_callback", "//src/ray/util:concurrent_flat_map", @@ -39,11 +54,11 @@ ray_cc_library( ) ray_cc_library( - name = "gcs_observable_store_client", + name = "observable_store_client", srcs = ["observable_store_client.cc"], hdrs = ["observable_store_client.h"], deps = [ - ":gcs_store_client", + ":store_client", "//src/ray/gcs:gcs_callback", "//src/ray/util", ], diff --git a/src/ray/gcs/redis_async_context.cc b/src/ray/gcs/store_client/redis_async_context.cc similarity index 99% rename from src/ray/gcs/redis_async_context.cc rename to src/ray/gcs/store_client/redis_async_context.cc index 10df58cf5365..d022009b9a10 100644 --- a/src/ray/gcs/redis_async_context.cc +++ b/src/ray/gcs/store_client/redis_async_context.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/redis_async_context.h" +#include "ray/gcs/store_client/redis_async_context.h" #include #include diff --git a/src/ray/gcs/redis_async_context.h b/src/ray/gcs/store_client/redis_async_context.h similarity index 100% rename from src/ray/gcs/redis_async_context.h rename to src/ray/gcs/store_client/redis_async_context.h diff --git a/src/ray/gcs/redis_context.cc b/src/ray/gcs/store_client/redis_context.cc similarity index 99% rename from src/ray/gcs/redis_context.cc rename to src/ray/gcs/store_client/redis_context.cc index 3ee8c564e978..541c5edf9cc6 100644 --- a/src/ray/gcs/redis_context.cc +++ b/src/ray/gcs/store_client/redis_context.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/redis_context.h" +#include "ray/gcs/store_client/redis_context.h" #include #include diff --git a/src/ray/gcs/redis_context.h b/src/ray/gcs/store_client/redis_context.h similarity index 99% rename from src/ray/gcs/redis_context.h rename to src/ray/gcs/store_client/redis_context.h index cc3ec46f3c43..d66f3a04bf12 100644 --- a/src/ray/gcs/redis_context.h +++ b/src/ray/gcs/store_client/redis_context.h @@ -23,7 +23,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" -#include "ray/gcs/redis_async_context.h" +#include "ray/gcs/store_client/redis_async_context.h" #include "ray/stats/metric.h" #include "ray/stats/tag_defs.h" #include "ray/util/exponential_backoff.h" diff --git a/src/ray/gcs/store_client/redis_store_client.cc b/src/ray/gcs/store_client/redis_store_client.cc index 8863fb4f111f..7fe2065478e9 100644 --- a/src/ray/gcs/store_client/redis_store_client.cc +++ b/src/ray/gcs/store_client/redis_store_client.cc @@ -26,7 +26,7 @@ #include "absl/cleanup/cleanup.h" #include "absl/strings/match.h" #include "absl/strings/str_cat.h" -#include "ray/gcs/redis_context.h" +#include "ray/common/ray_config.h" #include "ray/util/container_util.h" #include "ray/util/logging.h" @@ -118,14 +118,45 @@ void RedisStoreClient::MGetValues( } } -RedisStoreClient::RedisStoreClient(std::shared_ptr redis_client) - : external_storage_namespace_(::RayConfig::instance().external_storage_namespace()), - redis_client_(std::move(redis_client)) { +std::shared_ptr ConnectRedisContext(instrumented_io_context &io_service, + const RedisClientOptions &options) { + RAY_CHECK(!options.ip.empty()) << "Redis IP address cannot be empty."; + auto context = std::make_shared(io_service); + RAY_CHECK_OK(context->Connect(options.ip, + options.port, + /*username=*/options.username, + /*password=*/options.password, + /*enable_ssl=*/options.enable_ssl)) + << "Failed to connect to Redis."; + return context; +} + +RedisStoreClient::RedisStoreClient(instrumented_io_context &io_service, + const RedisClientOptions &options) + : io_service_(io_service), + options_(options), + external_storage_namespace_(::RayConfig::instance().external_storage_namespace()), + primary_context_(ConnectRedisContext(io_service, options)) { RAY_CHECK(!absl::StrContains(external_storage_namespace_, kClusterSeparator)) << "Storage namespace (" << external_storage_namespace_ << ") shouldn't contain " << kClusterSeparator << "."; + + // Health check Redis periodically and crash if it becomes unavailable. + periodic_health_check_runner_ = PeriodicalRunner::Create(io_service_); + periodic_health_check_runner_->RunFnPeriodically( + [this] { + AsyncCheckHealth({[](const Status &status) { + RAY_CHECK_OK(status) + << "Redis connection failed unexpectedly."; + }, + io_service_}); + }, + options.heartbeat_interval_ms, + "RedisStoreClient.redis_health_check"); } +RedisStoreClient::~RedisStoreClient() { periodic_health_check_runner_.reset(); } + Status RedisStoreClient::AsyncPut(const std::string &table_name, const std::string &key, std::string data, @@ -171,7 +202,7 @@ Status RedisStoreClient::AsyncGet( Status RedisStoreClient::AsyncGetAll( const std::string &table_name, Postable)> callback) { - RedisScanner::ScanKeysAndValues(redis_client_, + RedisScanner::ScanKeysAndValues(primary_context_, RedisKey{external_storage_namespace_, table_name}, RedisMatchPattern::Any(), std::move(callback)); @@ -275,7 +306,7 @@ void RedisStoreClient::SendRedisCmdWithKeys(std::vector keys, auto num_ready_keys = std::make_shared(0); std::function send_redis = [this, num_ready_keys = num_ready_keys, - concurrency_keys, // Copied! + concurrency_keys, command = std::move(command), redis_callback = std::move(redis_callback)]() mutable { @@ -289,23 +320,23 @@ void RedisStoreClient::SendRedisCmdWithKeys(std::vector keys, } } // Send the actual request - auto *cxt = redis_client_->GetPrimaryContext(); - cxt->RunArgvAsync(command.ToRedisArgs(), - [this, - concurrency_keys, // Copied! - redis_callback = std::move(redis_callback)](auto reply) { - std::vector> requests; - { - absl::MutexLock lock(&mu_); - requests = TakeRequestsFromSendingQueue(concurrency_keys); - } - for (auto &request : requests) { - request(); - } - if (redis_callback) { - redis_callback(reply); - } - }); + primary_context_->RunArgvAsync( + command.ToRedisArgs(), + [this, + concurrency_keys, // Copied! + redis_callback = std::move(redis_callback)](auto reply) { + std::vector> requests; + { + absl::MutexLock lock(&mu_); + requests = TakeRequestsFromSendingQueue(concurrency_keys); + } + for (auto &request : requests) { + request(); + } + if (redis_callback) { + redis_callback(reply); + } + }); }; { @@ -353,25 +384,25 @@ Status RedisStoreClient::DeleteByKeys(const std::string &table, RedisStoreClient::RedisScanner::RedisScanner( PrivateCtorTag ctor_tag, - std::shared_ptr redis_client, + std::shared_ptr primary_context, RedisKey redis_key, RedisMatchPattern match_pattern, Postable)> callback) : redis_key_(std::move(redis_key)), match_pattern_(std::move(match_pattern)), - redis_client_(std::move(redis_client)), + primary_context_(std::move(primary_context)), callback_(std::move(callback)) { cursor_ = 0; pending_request_count_ = 0; } void RedisStoreClient::RedisScanner::ScanKeysAndValues( - std::shared_ptr redis_client, + std::shared_ptr primary_context, RedisKey redis_key, RedisMatchPattern match_pattern, Postable)> callback) { auto scanner = std::make_shared(PrivateCtorTag(), - std::move(redis_client), + std::move(primary_context), std::move(redis_key), std::move(match_pattern), std::move(callback)); @@ -402,8 +433,7 @@ void RedisStoreClient::RedisScanner::Scan() { } command.args.push_back("COUNT"); command.args.push_back(std::to_string(batch_count)); - auto *primary_context = redis_client_->GetPrimaryContext(); - primary_context->RunArgvAsync( + primary_context_->RunArgvAsync( command.ToRedisArgs(), // self_ref to keep the scanner alive until the callback is called, even if it // releases its self_ref in Scan(). @@ -451,14 +481,13 @@ Status RedisStoreClient::AsyncGetNextJobID(Postable callback) { RedisCommand command = { "INCRBY", RedisKey{external_storage_namespace_, "JobCounter"}, {"1"}}; - auto *cxt = redis_client_->GetPrimaryContext(); - - cxt->RunArgvAsync(command.ToRedisArgs(), - [callback = std::move(callback)]( - const std::shared_ptr &reply) mutable { - auto job_id = static_cast(reply->ReadAsInteger()); - std::move(callback).Post("GcsStore.GetNextJobID", job_id); - }); + primary_context_->RunArgvAsync( + command.ToRedisArgs(), + [callback = + std::move(callback)](const std::shared_ptr &reply) mutable { + auto job_id = static_cast(reply->ReadAsInteger()); + std::move(callback).Post("GcsStore.GetNextJobID", job_id); + }); return Status::OK(); } @@ -467,7 +496,7 @@ Status RedisStoreClient::AsyncGetKeys(const std::string &table_name, const std::string &prefix, Postable)> callback) { RedisScanner::ScanKeysAndValues( - redis_client_, + primary_context_, RedisKey{external_storage_namespace_, table_name}, RedisMatchPattern::Prefix(prefix), std::move(callback).TransformArg( @@ -497,6 +526,21 @@ Status RedisStoreClient::AsyncExists(const std::string &table_name, return Status::OK(); } +void RedisStoreClient::AsyncCheckHealth(Postable callback) { + auto redis_callback = [callback = std::move(callback)]( + const std::shared_ptr &reply) mutable { + Status status = Status::OK(); + if (reply->IsNil()) { + status = Status::IOError("Unexpected connection error."); + } else if (reply->IsError()) { + status = reply->ReadAsStatus(); + } + std::move(callback).Dispatch("RedisStoreClient.AsyncCheckHealth", status); + }; + + primary_context_->RunArgvAsync({"PING"}, redis_callback); +} + // Returns True if at least 1 key is deleted, False otherwise. bool RedisDelKeyPrefixSync(const std::string &host, int32_t port, @@ -504,11 +548,10 @@ bool RedisDelKeyPrefixSync(const std::string &host, const std::string &password, bool use_ssl, const std::string &external_storage_namespace) { - RedisClientOptions options(host, port, username, password, use_ssl); - auto cli = std::make_unique(options); - instrumented_io_context io_service{/*enable_lag_probe=*/false, /*running_on_single_thread=*/true}; + RedisClientOptions options{host, port, username, password, use_ssl}; + std::shared_ptr context = ConnectRedisContext(io_service, options); auto thread = std::make_unique([&]() { boost::asio::executor_work_guard work( @@ -521,10 +564,6 @@ bool RedisDelKeyPrefixSync(const std::string &host, thread->join(); }); - auto status = cli->Connect(io_service); - RAY_CHECK_OK(status) << "Failed to connect to redis"; - - auto *context = cli->GetPrimaryContext(); // Delete all such keys by using empty table name. RedisKey redis_key{external_storage_namespace, /*table_name=*/""}; std::vector cmd{"KEYS", @@ -540,7 +579,7 @@ bool RedisDelKeyPrefixSync(const std::string &host, << external_storage_namespace; return true; } - auto delete_one_sync = [context](const std::string &key) { + auto delete_one_sync = [&context](const std::string &key) { auto del_cmd = std::vector{"DEL", key}; std::promise> promise; context->RunArgvAsync(del_cmd, diff --git a/src/ray/gcs/store_client/redis_store_client.h b/src/ray/gcs/store_client/redis_store_client.h index 39d73d16bfeb..241488fe7702 100644 --- a/src/ray/gcs/store_client/redis_store_client.h +++ b/src/ray/gcs/store_client/redis_store_client.h @@ -24,10 +24,11 @@ #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" +#include "ray/common/asio/asio_util.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/asio/periodical_runner.h" #include "ray/common/asio/postable.h" -#include "ray/common/ray_config.h" -#include "ray/gcs/redis_client.h" -#include "ray/gcs/redis_context.h" +#include "ray/gcs/store_client/redis_context.h" #include "ray/gcs/store_client/store_client.h" #include "src/ray/protobuf/gcs.pb.h" @@ -90,7 +91,30 @@ inline std::ostream &operator<<(std::ostream &os, const RedisConcurrencyKey &key return os; } +struct RedisClientOptions { + // Redis server address. + std::string ip; + int port; + + // Redis username and password. + std::string username = ""; + std::string password = ""; + + // Whether to use TLS/SSL for the connection. + bool enable_ssl = false; + + // The interval between health checks to Redis. + // If a health check fails, the client will crash the process. + // Set to 0 to disable health checking. + uint64_t heartbeat_interval_ms = 1000; +}; + // StoreClient using Redis as persistence backend. +// +// The StoreClient does not currently handle any failures (transient or otherwise) of +// the Redis server. A periodic health check runs in the background and it will crash +// the process if the Redis server cannot be reached. +// // Note in redis term a "key" points to a hash table and a "field" is a key, a "value" // is just a value. We double quote "key" and "field" to avoid confusion. // @@ -110,7 +134,13 @@ inline std::ostream &operator<<(std::ostream &os, const RedisConcurrencyKey &key // [1] https://github.com/ray-project/ray/pull/35123#issuecomment-1546549046 class RedisStoreClient : public StoreClient { public: - explicit RedisStoreClient(std::shared_ptr redis_client); + /// Connect to Redis. Not thread safe. + /// + /// \param io_service The event loop for this client. Must be single threaded. + /// \param options The options for connecting to Redis. + explicit RedisStoreClient(instrumented_io_context &io_service, + const RedisClientOptions &options); + ~RedisStoreClient(); Status AsyncPut(const std::string &table_name, const std::string &key, @@ -150,6 +180,11 @@ class RedisStoreClient : public StoreClient { Postable callback) override; private: + // Check if Redis is available. + // + // \param callback The callback that will be called with a Status. OK means healthy. + void AsyncCheckHealth(Postable callback); + /// \class RedisScanner /// /// This class is used to HSCAN data from a Redis table. @@ -167,13 +202,13 @@ class RedisStoreClient : public StoreClient { // Don't call this. Use ScanKeysAndValues instead. explicit RedisScanner( PrivateCtorTag tag, - std::shared_ptr redis_client, + std::shared_ptr primary_context, RedisKey redis_key, RedisMatchPattern match_pattern, Postable)> callback); static void ScanKeysAndValues( - std::shared_ptr redis_client, + std::shared_ptr primary_context, RedisKey redis_key, RedisMatchPattern match_pattern, Postable)> callback); @@ -185,6 +220,7 @@ class RedisStoreClient : public StoreClient { void Scan(); void OnScanCallback(const std::shared_ptr &reply); + /// The table name that the scanner will scan. RedisKey redis_key_; @@ -204,7 +240,7 @@ class RedisStoreClient : public StoreClient { /// The pending shard scan count. std::atomic pending_request_count_{0}; - std::shared_ptr redis_client_; + std::shared_ptr primary_context_; Postable)> callback_; @@ -260,8 +296,17 @@ class RedisStoreClient : public StoreClient { const std::vector &keys, Postable)> callback); + instrumented_io_context &io_service_; + + RedisClientOptions options_; + std::string external_storage_namespace_; - std::shared_ptr redis_client_; + + // The following context writes everything to the primary shard. + std::shared_ptr primary_context_; + + std::shared_ptr periodic_health_check_runner_; + absl::Mutex mu_; // The pending redis requests queue for each key. diff --git a/src/ray/gcs/store_client/tests/BUILD.bazel b/src/ray/gcs/store_client/tests/BUILD.bazel index 6ceedbe51516..571e081c1a6c 100644 --- a/src/ray/gcs/store_client/tests/BUILD.bazel +++ b/src/ray/gcs/store_client/tests/BUILD.bazel @@ -5,7 +5,7 @@ ray_cc_library( hdrs = ["store_client_test_base.h"], deps = [ "//src/ray/common:test_util", - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client", ], ) @@ -24,7 +24,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":store_client_test_lib", - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client:redis_store_client", "@boost//:optional", "@com_google_googletest//:gtest_main", ], @@ -52,7 +52,7 @@ ray_cc_test( ], deps = [ ":store_client_test_lib", - "//src/ray/gcs/store_client:gcs_redis_store_client", + "//src/ray/gcs/store_client:redis_store_client", "@boost//:optional", "@com_google_googletest//:gtest_main", ], @@ -65,7 +65,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":store_client_test_lib", - "//src/ray/gcs/store_client:gcs_in_memory_store_client", + "//src/ray/gcs/store_client:in_memory_store_client", "@com_google_googletest//:gtest_main", ], ) @@ -77,8 +77,40 @@ ray_cc_test( tags = ["team:core"], deps = [ ":store_client_test_lib", - "//src/ray/gcs/store_client:gcs_in_memory_store_client", - "//src/ray/gcs/store_client:gcs_observable_store_client", + "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/gcs/store_client:observable_store_client", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "redis_callback_reply_test", + size = "small", + srcs = ["redis_callback_reply_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/gcs/store_client:redis_store_client", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "redis_async_context_test", + size = "small", + srcs = ["redis_async_context_test.cc"], + args = [ + "$(location //:redis-server)", + "$(location //:redis-cli)", + ], + data = [ + "//:redis-cli", + "//:redis-server", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common:test_util", + "//src/ray/gcs/store_client:redis_store_client", + "//src/ray/util", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/tests/redis_async_context_test.cc b/src/ray/gcs/store_client/tests/redis_async_context_test.cc similarity index 96% rename from src/ray/gcs/tests/redis_async_context_test.cc rename to src/ray/gcs/store_client/tests/redis_async_context_test.cc index 6309e867995a..94ebe207ee39 100644 --- a/src/ray/gcs/tests/redis_async_context_test.cc +++ b/src/ray/gcs/store_client/tests/redis_async_context_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/redis_async_context.h" +#include "ray/gcs/store_client/redis_async_context.h" #include #include @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_util.h" -#include "ray/gcs/redis_context.h" +#include "ray/gcs/store_client/redis_context.h" #include "ray/util/logging.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/tests/callback_reply_test.cc b/src/ray/gcs/store_client/tests/redis_callback_reply_test.cc similarity index 98% rename from src/ray/gcs/tests/callback_reply_test.cc rename to src/ray/gcs/store_client/tests/redis_callback_reply_test.cc index c6221e42d2ec..ad8e5b3ee48c 100644 --- a/src/ray/gcs/tests/callback_reply_test.cc +++ b/src/ray/gcs/store_client/tests/redis_callback_reply_test.cc @@ -16,7 +16,7 @@ #include #include "gtest/gtest.h" -#include "ray/gcs/redis_context.h" +#include "ray/gcs/store_client/redis_context.h" extern "C" { #include "hiredis/hiredis.h" diff --git a/src/ray/gcs/store_client/tests/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc index dcf53b4f6f26..e094f6c31cbc 100644 --- a/src/ray/gcs/store_client/tests/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -23,7 +23,6 @@ #include #include "ray/common/test_util.h" -#include "ray/gcs/redis_client.h" #include "ray/gcs/store_client/tests/store_client_test_base.h" #include "ray/util/path_utils.h" @@ -73,17 +72,14 @@ class RedisStoreClientTest : public StoreClientTestBase { } void InitStoreClient() override { - RedisClientOptions options("127.0.0.1", TEST_REDIS_SERVER_PORTS.front(), "", ""); - redis_client_ = std::make_shared(options); - RAY_CHECK_OK(redis_client_->Connect(*io_service_pool_->Get())); - - store_client_ = std::make_shared(redis_client_); + auto &io_context = *io_service_pool_->Get(); + RedisClientOptions options{"127.0.0.1", TEST_REDIS_SERVER_PORTS.front()}; + store_client_ = std::make_shared(io_context, options); } - void DisconnectStoreClient() override { redis_client_->Disconnect(); } + void DisconnectStoreClient() override { store_client_.reset(); } protected: - std::shared_ptr redis_client_; std::unique_ptr t_; std::atomic stopped_ = false; }; diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index c89258455258..8485c8c5a794 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -1,4 +1,4 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") +load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( name = "gcs_test_util_lib", @@ -12,35 +12,3 @@ ray_cc_library( "//src/ray/protobuf:gcs_service_cc_grpc", ], ) - -ray_cc_test( - name = "callback_reply_test", - size = "small", - srcs = ["callback_reply_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/gcs:gcs_redis_client", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "redis_async_context_test", - size = "small", - srcs = ["redis_async_context_test.cc"], - args = [ - "$(location //:redis-server)", - "$(location //:redis-cli)", - ], - data = [ - "//:redis-cli", - "//:redis-server", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:test_util", - "//src/ray/gcs:gcs_redis_client", - "//src/ray/util", - "@com_google_googletest//:gtest_main", - ], -) From 9f3ad654ffe2d962169ac258c42a4affee47cbb0 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 19 Aug 2025 15:30:14 -0500 Subject: [PATCH 0771/1566] [core] Remove `_TestOnly_GcsActorSubscriber` (#55738) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This class was only used in a single test, that appeared to be testing its own logic 🤔 Remove to avoid proliferation. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 41 -------- .../modules/node/tests/test_actor.py | 93 ------------------- python/ray/includes/common.pxd | 3 - src/ray/gcs/pubsub/gcs_pub_sub.cc | 10 -- src/ray/gcs/pubsub/gcs_pub_sub.h | 3 - 5 files changed, 150 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index ad030028441d..83798c1da252 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2972,47 +2972,6 @@ cdef class GcsLogSubscriber(_GcsSubscriber): return result -# This class should only be used for tests -cdef class _TestOnly_GcsActorSubscriber(_GcsSubscriber): - """Subscriber to actor updates. Thread safe. - - Usage example: - subscriber = GcsActorSubscriber() - # Subscribe to the actor channel. - subscriber.subscribe() - ... - while running: - actor_data = subscriber.poll() - ...... - # Unsubscribe from the channel. - subscriber.close() - """ - - def __init__(self, address, worker_id=None): - self._construct(address, GCS_ACTOR_CHANNEL, worker_id) - - def poll(self, timeout=None): - """Polls for new actor messages. - - Returns: - A byte string of function key. - None if polling times out or subscriber closed. - """ - cdef: - CActorTableData actor_data - c_string key_id - int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - - with nogil: - check_status(self.inner.get().PollActor( - &key_id, timeout_ms, &actor_data)) - - info = ActorTableData.FromString( - actor_data.SerializeAsString()) - - return [(key_id, info)] - - cdef class CoreWorker: def __cinit__(self, worker_type, store_socket, raylet_socket, diff --git a/python/ray/dashboard/modules/node/tests/test_actor.py b/python/ray/dashboard/modules/node/tests/test_actor.py index e4afeb0b818d..e374a28a2c0a 100644 --- a/python/ray/dashboard/modules/node/tests/test_actor.py +++ b/python/ray/dashboard/modules/node/tests/test_actor.py @@ -7,7 +7,6 @@ import requests import ray -import ray.dashboard.utils as dashboard_utils from ray._private.test_utils import format_web_url, wait_until_server_available from ray.dashboard.modules.node import actor_consts from ray.dashboard.tests.conftest import * # noqa @@ -239,98 +238,6 @@ def get_actor_id(self): raise Exception(f"Timed out while testing, {ex_stack}") -def test_actor_pubsub(disable_aiohttp_cache, ray_start_with_dashboard): - timeout = 5 - assert wait_until_server_available(ray_start_with_dashboard["webui_url"]) - address_info = ray_start_with_dashboard - - sub = ray._raylet._TestOnly_GcsActorSubscriber(address=address_info["gcs_address"]) - sub.subscribe() - - @ray.remote - class DummyActor: - def __init__(self): - pass - - # Create a dummy actor. - a = DummyActor.remote() - - def handle_pub_messages(msgs, timeout, expect_num): - start_time = time.time() - while time.time() - start_time < timeout and len(msgs) < expect_num: - published = sub.poll(timeout=timeout) - for _, actor_data in published: - if actor_data is None: - continue - msgs.append(actor_data) - - msgs = [] - handle_pub_messages(msgs, timeout, 3) - # Assert we received published actor messages with state - # DEPENDENCIES_UNREADY, PENDING_CREATION and ALIVE. - assert len(msgs) == 3, msgs - - # Kill actor. - ray.kill(a) - handle_pub_messages(msgs, timeout, 4) - - # Assert we received published actor messages with state DEAD. - assert len(msgs) == 4 - - def actor_table_data_to_dict(message): - return dashboard_utils.message_to_dict( - message, - { - "actorId", - "parentId", - "jobId", - "workerId", - "nodeId", - "callerId", - "taskId", - "parentTaskId", - "sourceActorId", - "placementGroupId", - }, - always_print_fields_with_no_presence=False, - ) - - non_state_keys = ("actorId", "jobId") - - for msg in msgs: - actor_data_dict = actor_table_data_to_dict(msg) - # DEPENDENCIES_UNREADY is 0, which would not be kept in dict. We - # need check its original value. - if msg.state == 0: - assert len(actor_data_dict) > 5 - for k in non_state_keys: - assert k in actor_data_dict - # For status that is not DEPENDENCIES_UNREADY, only states fields will - # be published. - elif actor_data_dict["state"] in ("ALIVE", "DEAD"): - assert actor_data_dict.keys() >= { - "state", - "address", - "timestamp", - "pid", - "rayNamespace", - } - elif actor_data_dict["state"] == "PENDING_CREATION": - assert actor_data_dict.keys() == { - "state", - "address", - "actorId", - "jobId", - "ownerAddress", - "className", - "serializedRuntimeEnv", - "rayNamespace", - "functionDescriptor", - } - else: - raise Exception("Unknown state: {}".format(actor_data_dict["state"])) - - def test_nil_node(enable_test_module, disable_aiohttp_cache, ray_start_with_dashboard): assert wait_until_server_available(ray_start_with_dashboard["webui_url"]) is True webui_url = ray_start_with_dashboard["webui_url"] diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index ab24ec1622ce..82d14d92e63a 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -662,9 +662,6 @@ cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" nogil: CRayStatus PollLogs( c_string* key_id, int64_t timeout_ms, CLogBatch* data) - CRayStatus PollActor( - c_string* key_id, int64_t timeout_ms, CActorTableData* data) - CRayStatus Close() cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" namespace "ray::gcs" nogil: diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index ea2884d29306..354775796205 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -319,16 +319,6 @@ Status PythonGcsSubscriber::PollLogs(std::string *key_id, return Status::OK(); } -Status PythonGcsSubscriber::PollActor(std::string *key_id, - int64_t timeout_ms, - rpc::ActorTableData *data) { - rpc::PubMessage message; - RAY_RETURN_NOT_OK(DoPoll(timeout_ms, &message)); - *key_id = std::move(*message.mutable_key_id()); - *data = std::move(*message.mutable_actor_message()); - return Status::OK(); -} - Status PythonGcsSubscriber::Close() { std::shared_ptr current_polling_context; { diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h index f5b8ddead4f3..abc40f733bbc 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ b/src/ray/gcs/pubsub/gcs_pub_sub.h @@ -137,9 +137,6 @@ class RAY_EXPORT PythonGcsSubscriber { /// Polls for new log messages. Status PollLogs(std::string *key_id, int64_t timeout_ms, rpc::LogBatch *data); - /// Polls for actor messages. - Status PollActor(std::string *key_id, int64_t timeout_ms, rpc::ActorTableData *data); - /// Closes the subscriber and its active subscription. Status Close(); From 34704f3dea2dd679d1d89cbd4fa8e62f26324967 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Tue, 19 Aug 2025 13:57:58 -0700 Subject: [PATCH 0772/1566] [core][GPU Objects] Support nixl as tensor transport backend (#54459) Support nixl as tensor transport backend when using gpu objects. The code is tested manually. Related tests may be put in next pr since integrating nixl in ci needs some work to do. --------- Signed-off-by: Stephanie Wang Signed-off-by: kaihsun Co-authored-by: Stephanie Wang Co-authored-by: kaihsun Signed-off-by: Douglas Strodtman --- python/ray/_private/custom_types.py | 1 + .../ray/experimental/collective/__init__.py | 3 + .../collective/collective_tensor_transport.py | 149 ++++++++++++++++ .../collective/nixl_tensor_transport.py | 118 +++++++++++++ .../collective/tensor_transport_manager.py | 160 ++++++++++++++++++ python/ray/experimental/collective/util.py | 36 ++++ .../gpu_object_manager/gpu_object_manager.py | 138 +++++---------- .../gpu_object_manager/gpu_object_store.py | 70 ++++---- python/ray/tests/BUILD | 1 + python/ray/tests/test_gpu_objects_nixl.py | 46 +++++ python/ray/util/collective/collective.py | 50 ++++-- .../collective_group/nixl_backend.py | 96 +++++++++++ python/ray/util/collective/types.py | 69 ++++++++ .../requirements/ml/dl-gpu-requirements.txt | 1 + src/ray/protobuf/common.proto | 2 + 15 files changed, 799 insertions(+), 141 deletions(-) create mode 100644 python/ray/experimental/collective/collective_tensor_transport.py create mode 100644 python/ray/experimental/collective/nixl_tensor_transport.py create mode 100644 python/ray/experimental/collective/tensor_transport_manager.py create mode 100644 python/ray/tests/test_gpu_objects_nixl.py create mode 100644 python/ray/util/collective/collective_group/nixl_backend.py diff --git a/python/ray/_private/custom_types.py b/python/ray/_private/custom_types.py index 2237972c3b6b..9b20312ec3c1 100644 --- a/python/ray/_private/custom_types.py +++ b/python/ray/_private/custom_types.py @@ -125,6 +125,7 @@ class TensorTransportEnum(Enum): OBJECT_STORE = TensorTransport.Value("OBJECT_STORE") NCCL = TensorTransport.Value("NCCL") GLOO = TensorTransport.Value("GLOO") + NIXL = TensorTransport.Value("NIXL") @classmethod def from_str(cls, name: str) -> "TensorTransportEnum": diff --git a/python/ray/experimental/collective/__init__.py b/python/ray/experimental/collective/__init__.py index de2314acf6ab..8a526e691684 100644 --- a/python/ray/experimental/collective/__init__.py +++ b/python/ray/experimental/collective/__init__.py @@ -9,6 +9,8 @@ destroy_collective_group, destroy_all_collective_groups, ) +from ray.experimental.collective.util import get_tensor_transport_manager + __all__ = [ "allgather", @@ -18,4 +20,5 @@ "create_collective_group", "destroy_collective_group", "destroy_all_collective_groups", + "get_tensor_transport_manager", ] diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py new file mode 100644 index 000000000000..d4dece6f1808 --- /dev/null +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -0,0 +1,149 @@ +from typing import Optional, List, TYPE_CHECKING + +import ray +from ray.experimental.collective.tensor_transport_manager import ( + TensorTransportManager, + TensorTransportEnum, +) + +from ray.util.collective.types import ( + CollectiveTransportMetadata, + CollectiveCommunicatorMetadata, +) + +if TYPE_CHECKING: + import torch + + +class CollectiveTensorTransport(TensorTransportManager): + @staticmethod + def is_one_sided() -> bool: + return False + + @staticmethod + def get_tensor_transport_metadata( + src_actor: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport: TensorTransportEnum, + ) -> CollectiveTransportMetadata: + def __ray_get_tensor_transport_metadata__( + self: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport: TensorTransportEnum, + ) -> CollectiveTransportMetadata: + + from ray._private.worker import global_worker + from ray.util.collective.types import CollectiveTransportMetadata + + gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + # NOTE: We do not specify a timeout here because the user task that returns + # it could take arbitrarily long and we don't want to trigger a spurious + # timeout. + gpu_object = gpu_object_store.wait_and_get_object(obj_id) + return CollectiveTransportMetadata( + tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + ) + + # Submit a Ray actor task to the source actor to get the tensor metadata. + # The metadata is a list of tuples, where each tuple contains the shape and dtype + # of a tensor in the GPU object store. This function returns an ObjectRef that + # points to the tensor metadata. + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking this task. + + return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_get_tensor_transport_metadata__, obj_id, tensor_transport + ) + + @staticmethod + def get_communicator_metadata( + src_actor: "ray.actor.ActorHandle", + dst_actor: "ray.actor.ActorHandle", + backend: Optional[str] = None, + ) -> CollectiveCommunicatorMetadata: + + from ray.experimental.collective import get_collective_groups + + communicators = get_collective_groups( + [src_actor, dst_actor], + backend=backend, + ) + # TODO(kevin85421): Support multiple communicators. + if len(communicators) == 0: + raise ValueError( + f"No communicators found for actors {src_actor} and {dst_actor}. " + "Create a communicator with " + "`ray.experimental.collective.create_collective_group` " + "before calling actor tasks." + ) + elif len(communicators) > 1: + raise ValueError( + f"There are {len(communicators)} possible communicators that contain actors {src_actor} and {dst_actor}. " + "Currently, GPU objects only support one communicator. Please make sure only " + "one communicator exists." + ) + communicator = communicators[0] + src_rank = communicator.get_rank(src_actor) + if src_rank == -1: + raise ValueError( + f"Sender actor {src_actor} not found in communicator. " + "Please make sure the sender and receiver are in the same communicator." + ) + dst_rank = communicator.get_rank(dst_actor) + if dst_rank == -1: + raise ValueError( + f"Receiver actor {dst_actor} not found in communicator. " + "Please make sure the sender and receiver are in the same communicator." + ) + + communicator_metadata = CollectiveCommunicatorMetadata( + communicator_name=communicator.name, + src_rank=src_rank, + dst_rank=dst_rank, + ) + return communicator_metadata + + @staticmethod + def recv_multiple_tensors( + tensors, + tensor_transport_metadata: CollectiveTransportMetadata, + communicator_metadata: CollectiveCommunicatorMetadata, + ): + from ray.util.collective import types + from ray.util.collective.collective import recv + + assert isinstance( + tensor_transport_metadata, types.CollectiveTransportMetadata + ), "metadata must be a CollectiveTransportMetadata object for non-NIXL transport" + assert isinstance( + communicator_metadata, types.CollectiveCommunicatorMetadata + ), "metadata must be a CollectiveCommunicatorMetadata object for non-NIXL transport" + + for tensor in tensors: + recv( + tensor, + communicator_metadata.src_rank, + communicator_metadata.communicator_name, + ) + + @staticmethod + def send_multiple_tensors( + tensors: List["torch.Tensor"], + tensor_transport_metadata: CollectiveTransportMetadata, + communicator_metadata: CollectiveCommunicatorMetadata, + device: "torch.device", + ): + import ray.util.collective as collective + + for tensor in tensors: + if tensor.device.type != device.type: + # TODO(swang): Right now there is no way to catch this error + # and the receiving Ray task will hang. + raise ValueError( + f"tensor device {tensor.device} does not match device {device}" + ) + collective.send( + tensor, + communicator_metadata.dst_rank, + communicator_metadata.communicator_name, + ) diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py new file mode 100644 index 000000000000..5723e7b1d686 --- /dev/null +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -0,0 +1,118 @@ +from typing import Optional, List, TYPE_CHECKING + +import ray +from ray.experimental.collective.tensor_transport_manager import ( + TensorTransportManager, + TensorTransportEnum, +) +from ray.util.collective.types import ( + NIXL_GROUP_NAME, + NixlTransportMetadata, + NixlCommunicatorMetadata, +) + +if TYPE_CHECKING: + import torch + + +class NixlTensorTransport(TensorTransportManager): + @staticmethod + def is_one_sided() -> bool: + return True + + @staticmethod + def get_tensor_transport_metadata( + src_actor: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport: TensorTransportEnum, + ) -> NixlTransportMetadata: + from ray.util.collective.collective_group.nixl_backend import NixlBackend + + def __ray_get_tensor_transport_metadata__( + self: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport: TensorTransportEnum, + ) -> NixlTransportMetadata: + + from ray._private.worker import global_worker + from ray.util.collective.types import NixlTransportMetadata + + gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + # NOTE: We do not specify a timeout here because the user task that returns + # it could take arbitrarily long and we don't want to trigger a spurious + # timeout. + gpu_object = gpu_object_store.wait_and_get_object(obj_id) + from ray.util.collective.collective import get_group_handle + + nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) + if gpu_object: + serialized_descs, agent_meta = nixl_backend.get_nixl_metadata( + gpu_object + ) + else: + serialized_descs, agent_meta = None, None + return NixlTransportMetadata( + tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + nixl_serialized_descs=serialized_descs, + nixl_agent_meta=agent_meta, + ) + + # Submit a Ray actor task to the source actor to get the tensor metadata. + # The metadata is a list of tuples, where each tuple contains the shape and dtype + # of a tensor in the GPU object store. This function returns an ObjectRef that + # points to the tensor metadata. + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking this task. + + return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_get_tensor_transport_metadata__, obj_id, tensor_transport + ) + + @staticmethod + def get_communicator_metadata( + src_actor: "ray.actor.ActorHandle", + dst_actor: "ray.actor.ActorHandle", + backend: Optional[str] = None, + ) -> NixlCommunicatorMetadata: + + communicator_metadata = NixlCommunicatorMetadata( + communicator_name=NIXL_GROUP_NAME, + ) + + return communicator_metadata + + @staticmethod + def recv_multiple_tensors( + tensors, + tensor_transport_metadata: NixlTransportMetadata, + communicator_metadata: NixlCommunicatorMetadata, + ): + from ray.util.collective.collective import get_group_handle + from ray.util.collective import types + + if tensors: + g = get_group_handle(communicator_metadata.communicator_name) + + assert isinstance( + tensor_transport_metadata, types.NixlTransportMetadata + ), "metadata must be a NixlTransportMetadata object for NIXL transport" + assert isinstance( + communicator_metadata, types.NixlCommunicatorMetadata + ), "metadata must be a NixlCommunicatorMetadata object for NIXL transport" + + g.recv( + tensors, + tensor_transport_metadata.nixl_serialized_descs, + tensor_transport_metadata.nixl_agent_meta, + ) + + @staticmethod + def send_multiple_tensors( + tensors: List["torch.Tensor"], + tensor_transport_metadata: NixlTransportMetadata, + communicator_metadata: NixlCommunicatorMetadata, + device: "torch.device", + ): + raise NotImplementedError( + "NIXL transport does not support send_multiple_tensors, since it is a one-sided transport." + ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py new file mode 100644 index 000000000000..302b6998b699 --- /dev/null +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -0,0 +1,160 @@ +from abc import ABC, abstractmethod +from typing import List, Optional, TYPE_CHECKING +from ray.util.collective.types import TensorTransportMetadata, CommunicatorMetadata +from ray._private.custom_types import TensorTransportEnum + +import ray + +if TYPE_CHECKING: + import torch + + +class TensorTransportManager(ABC): + @staticmethod + @abstractmethod + def is_one_sided() -> bool: + """Whether the backend is one-sided. + + Returns: + bool: True if the backend is one-sided, False otherwise. + """ + + @staticmethod + @abstractmethod + def get_tensor_transport_metadata( + src_actor: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport: TensorTransportEnum, + ) -> TensorTransportMetadata: + """ + Get the tensor transport metadata for the GPU object. + This function retrieves metadata about tensors stored in the GPU object store, + including their shapes, dtypes, and any transport-specific metadata, e.g., NIXL descriptors. + + Args: + src_actor: The actor that runs this function. + obj_id: The ID of the GPU object to get metadata for + tensor_transport: The tensor transport protocol to use for the GPU object. + + Returns: + TensorTransportMetadata: A named tuple containing the tensor metadata. + """ + + @staticmethod + @abstractmethod + def get_communicator_metadata( + src_actor: "ray.actor.ActorHandle", + dst_actor: "ray.actor.ActorHandle", + backend: Optional[str] = None, + ) -> CommunicatorMetadata: + """ + Get the communicator metadata (e.g. communicator name, src/dst rank) for the send/recv operation. + This function is called before sending the GPU object. + + Args: + src_actor: The actor that runs this function. + dst_actor: The actor that runs this function. + backend: The backend to use for the collective operation. + + Returns: + CommunicatorMetadata: The communicator metadata. + """ + + @staticmethod + def send_object( + src_actor: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport_metadata_ref: TensorTransportMetadata, + communicator_metadata_ref: CommunicatorMetadata, + ): + """ + Send the GPU object to the destination actor. + + Args: + src_actor: The actor that runs this function. + obj_id: The ID of the GPU object to send. + tensor_transport_metadata_ref: The ObjectRef of tensor transport metadata for the GPU object. + communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. + """ + from ray.experimental.gpu_object_manager.gpu_object_store import __ray_send__ + + # Send tensors stored in the `src_actor`'s GPU object store to the + # destination rank `dst_rank`. + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking the data transfer. + src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_send__, + obj_id, + tensor_transport_metadata_ref, + communicator_metadata_ref, + ) + + @staticmethod + def recv_object( + dst_actor: "ray.actor.ActorHandle", + obj_id: str, + tensor_transport_metadata_ref: TensorTransportMetadata, + communicator_metadata_ref: CommunicatorMetadata, + ): + """ + Receive the GPU object from the source actor. + This function receives tensors from the source rank and stores them in the + `dst_actor`'s GPU object store. + + Args: + dst_actor: The actor that runs this function. + obj_id: The ID of the GPU object to receive. + tensor_transport_metadata_ref: The ObjectRef of tensor transport metadata for the GPU object. + communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. + """ + from ray.experimental.gpu_object_manager.gpu_object_store import __ray_recv__ + + # Receive tensors from the source rank and store them in the + # `dst_actor`'s GPU object store. + # + # NOTE(swang): We put this task on the background thread to avoid tasks + # executing on the main thread blocking the data transfer. Technically, + # this is only needed for the sender task, but we put the receiver task + # on the same background thread to ensure that all communication + # operations are executed in a global order. + dst_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_recv__, + obj_id, + tensor_transport_metadata_ref, + communicator_metadata_ref, + ) + + @staticmethod + @abstractmethod + def recv_multiple_tensors( + tensors: List["torch.Tensor"], + tensor_transport_metadata: TensorTransportMetadata, + communicator_metadata: CommunicatorMetadata, + ): + """ + Receive multiple tensors from the source actor. + + Args: + tensors: The pre-allocated tensor space to receive the tensors. + tensor_transport_metadata: The tensor transport metadata for the GPU object. + communicator_metadata: The communicator metadata for the send/recv operation. + + """ + + @staticmethod + @abstractmethod + def send_multiple_tensors( + tensors: List["torch.Tensor"], + tensor_transport_metadata: TensorTransportMetadata, + communicator_metadata: CommunicatorMetadata, + device: "torch.device", + ): + """ + Send multiple tensors to the destination actor. + + Args: + tensors: The tensors to send. + tensor_transport_metadata: The tensor transport metadata for the GPU object. + communicator_metadata: The communicator metadata for the send/recv operation. + device: The device to send the tensors to. + """ diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index ea518a002458..fc6ef64229fb 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -4,6 +4,42 @@ import ray +from ray.util.collective.types import Backend +from ray.experimental.collective.tensor_transport_manager import TensorTransportManager +from ray.experimental.collective.nixl_tensor_transport import NixlTensorTransport +from ray.experimental.collective.collective_tensor_transport import ( + CollectiveTensorTransport, +) + +# Singleton instances for tensor transport managers +_nixl_tensor_transport_manager = None +_collective_tensor_transport_manager = None + + +def get_tensor_transport_manager( + tensor_transport: Backend, +) -> "TensorTransportManager": + """Get the tensor transport manager for the given tensor transport protocol. + + Args: + tensor_transport: The tensor transport protocol to use for the GPU object. + + Returns: + TensorTransportManager: The tensor transport manager for the given tensor transport protocol. + """ + if tensor_transport == Backend.NIXL: + global _nixl_tensor_transport_manager + if _nixl_tensor_transport_manager is None: + _nixl_tensor_transport_manager = NixlTensorTransport() + return _nixl_tensor_transport_manager + elif tensor_transport == Backend.TORCH_GLOO or tensor_transport == Backend.NCCL: + global _collective_tensor_transport_manager + if _collective_tensor_transport_manager is None: + _collective_tensor_transport_manager = CollectiveTensorTransport() + return _collective_tensor_transport_manager + else: + raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") + def find_free_port() -> int: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index c45ff36572aa..7d7f031269e6 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional, Tuple +from typing import TYPE_CHECKING, Any, Dict, NamedTuple, Optional, Tuple, List import threading import ray @@ -6,12 +6,12 @@ from ray._raylet import ObjectRef from ray._private import ray_constants - if TYPE_CHECKING: - import torch from ray.experimental.gpu_object_manager.gpu_object_store import ( GPUObjectStore, ) + from ray.util.collective.types import TensorTransportMetadata + import torch # GPUObjectMeta is a named tuple containing the source actor, tensor transport # backend, and tensor metadata. @@ -24,7 +24,7 @@ class GPUObjectMeta(NamedTuple): # Must be a valid backend name as defined in # `ray.util.collective.types.Backend`. tensor_transport_backend: str - tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] + tensor_transport_meta: "TensorTransportMetadata" # TODO(swang): Uncomment and add an API docs page and example usage. @@ -77,23 +77,6 @@ def gpu_object_store(self) -> "ray.experimental.GPUObjectStore": self._gpu_object_store = GPUObjectStore() return self._gpu_object_store - def _get_tensor_meta( - self, src_actor: "ray.actor.ActorHandle", obj_id: str - ) -> ObjectRef: - from ray.experimental.gpu_object_manager.gpu_object_store import ( - __ray_get_tensor_meta__, - ) - - # Submit a Ray actor task to the source actor to get the tensor metadata. - # The metadata is a list of tuples, where each tuple contains the shape and dtype - # of a tensor in the GPU object store. This function returns an ObjectRef that - # points to the tensor metadata. - # NOTE(swang): We put this task on the background thread to avoid tasks - # executing on the main thread blocking this task. - return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_get_tensor_meta__, obj_id - ) - def is_managed_object(self, obj_id: str) -> bool: """ Check if the GPU object is managed by this process. @@ -125,61 +108,28 @@ def add_gpu_object_ref( from ray.experimental.gpu_object_manager.gpu_object_store import ( _tensor_transport_to_collective_backend, ) + from ray.experimental.collective import get_tensor_transport_manager tensor_transport_backend = _tensor_transport_to_collective_backend( tensor_transport ) obj_id = obj_ref.hex() - tensor_meta = self._get_tensor_meta(src_actor, obj_id) + tensor_transport_manager = get_tensor_transport_manager( + tensor_transport_backend + ) + tensor_meta = tensor_transport_manager.get_tensor_transport_metadata( + src_actor, obj_id, tensor_transport + ) self.managed_gpu_object_metadata[obj_id] = GPUObjectMeta( src_actor=src_actor, tensor_transport_backend=tensor_transport_backend, - tensor_meta=tensor_meta, + tensor_transport_meta=tensor_meta, ) def _get_gpu_object_metadata(self, obj_ref: ObjectRef) -> GPUObjectMeta: obj_id = obj_ref.hex() return self.managed_gpu_object_metadata[obj_id] - def _send_object( - self, - communicator_name: str, - src_actor: "ray.actor.ActorHandle", - obj_id: str, - dst_rank: int, - ): - from ray.experimental.gpu_object_manager.gpu_object_store import __ray_send__ - - # Send tensors stored in the `src_actor`'s GPU object store to the - # destination rank `dst_rank`. - # NOTE(swang): We put this task on the background thread to avoid tasks - # executing on the main thread blocking the data transfer. - src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_send__, communicator_name, obj_id, dst_rank - ) - - def _recv_object( - self, - communicator_name: str, - dst_actor: "ray.actor.ActorHandle", - obj_id: str, - src_rank: int, - tensor_meta: List[Tuple["torch.Size", "torch.dtype"]], - ): - from ray.experimental.gpu_object_manager.gpu_object_store import __ray_recv__ - - # Receive tensors from the source rank and store them in the - # `dst_actor`'s GPU object store. - # - # NOTE(swang): We put this task on the background thread to avoid tasks - # executing on the main thread blocking the data transfer. Technically, - # this is only needed for the sender task, but we put the receiver task - # on the same background thread to ensure that all communication - # operations are executed in a global order. - dst_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_recv__, communicator_name, obj_id, src_rank, tensor_meta - ) - def fetch_object(self, obj_id: str): """ Fetches the GPU object from the source actor's GPU object store via the object store @@ -231,6 +181,7 @@ def trigger_out_of_band_tensor_transfer( dst_actor: The target actor to receive tensors task_args: List of arguments for the target actor task that may contain ObjectRefs. """ + gpu_object_refs = set() for arg in task_args: # If an ObjectRef is managed, it means the actual value is a list of tensors stored @@ -240,56 +191,45 @@ def trigger_out_of_band_tensor_transfer( continue if self.is_managed_object(arg.hex()): gpu_object_refs.add(arg) + if gpu_object_refs: + from ray.experimental.collective import get_tensor_transport_manager # Count the number of readers for each GPU object. for obj_ref in gpu_object_refs: # Import get_collective_groups here to avoid dependency on # collective libraries for default Ray installation. - from ray.experimental.collective import get_collective_groups gpu_object_meta = self._get_gpu_object_metadata(obj_ref) src_actor = gpu_object_meta.src_actor - tensor_meta = gpu_object_meta.tensor_meta - communicators = get_collective_groups( - [src_actor, dst_actor], backend=gpu_object_meta.tensor_transport_backend - ) - # TODO(kevin85421): Support multiple communicators. - if len(communicators) == 0: - raise ValueError( - f"No communicators found for actors {src_actor} and {dst_actor}. " - "Create a communicator with " - "`ray.experimental.collective.create_collective_group` " - "before calling actor tasks." - ) - elif len(communicators) > 1: - raise ValueError( - f"There are {len(communicators)} possible communicators that contain actors {src_actor} and {dst_actor}. " - "Currently, GPU objects only support one communicator. Please make sure only " - "one communicator exists." - ) - communicator = communicators[0] - src_rank = communicator.get_rank(src_actor) - if src_rank == -1: - raise ValueError( - f"Sender actor {src_actor} not found in communicator. " - "Please make sure the sender and receiver are in the same communicator." - ) - dst_rank = communicator.get_rank(dst_actor) - if dst_rank == -1: - raise ValueError( - f"Receiver actor {dst_actor} not found in communicator. " - "Please make sure the sender and receiver are in the same communicator." - ) - if src_rank == dst_rank: - # If the source and destination ranks are the same, the tensors can + tensor_transport_meta = gpu_object_meta.tensor_transport_meta + if src_actor._actor_id == dst_actor._actor_id: + # If the source and destination actors are the same, the tensors can # be transferred intra-process, so we skip the out-of-band tensor # transfer. continue + obj_id = obj_ref.hex() - self._send_object(communicator.name, src_actor, obj_id, dst_rank) - self._recv_object( - communicator.name, dst_actor, obj_id, src_rank, tensor_meta + tensor_transport_manager = get_tensor_transport_manager( + gpu_object_meta.tensor_transport_backend + ) + communicator_meta = tensor_transport_manager.get_communicator_metadata( + src_actor, + dst_actor, + gpu_object_meta.tensor_transport_backend, + ) + if not tensor_transport_manager.is_one_sided(): + tensor_transport_manager.send_object( + src_actor, + obj_id, + tensor_transport_meta, + communicator_meta, + ) + tensor_transport_manager.recv_object( + dst_actor, + obj_id, + tensor_transport_meta, + communicator_meta, ) def get_gpu_object(self, object_id: str) -> List["torch.Tensor"]: diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 9a15f0da7cc4..6b39a5856554 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,12 +1,15 @@ from dataclasses import dataclass -from typing import Dict, List, Optional, Tuple, Set +from typing import Dict, List, Optional, Set import threading from collections import defaultdict import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum -from ray.util.collective.types import Backend - +from ray.util.collective.types import ( + Backend, + CommunicatorMetadata, + TensorTransportMetadata, +) try: import torch @@ -19,11 +22,15 @@ TENSOR_TRANSPORT_TO_COLLECTIVE_BACKEND = { TensorTransportEnum.NCCL: Backend.NCCL, TensorTransportEnum.GLOO: Backend.TORCH_GLOO, + TensorTransportEnum.NIXL: Backend.NIXL, } COLLECTIVE_BACKEND_TO_TORCH_DEVICE = { Backend.NCCL: torch.device("cuda"), Backend.TORCH_GLOO: torch.device("cpu"), + # TODO(Qiaolin-Yu): NIXL could also transfer tensors from CPU to CPU. + # More details in https://github.com/ray-project/ray/issues/55587. + Backend.NIXL: torch.device("cuda"), } @@ -38,7 +45,12 @@ def _tensor_transport_to_collective_backend( ) -def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): +def __ray_send__( + self, + obj_id: str, + tensor_transport_meta: TensorTransportMetadata, + communicator_meta: CommunicatorMetadata, +): """Helper function that runs on the src actor to send tensors to the dst actor.""" from ray._private.worker import global_worker @@ -46,54 +58,54 @@ def __ray_send__(self, communicator_name: str, obj_id: str, dst_rank: int): assert gpu_object_store.has_object( obj_id ), f"obj_id={obj_id} not found in GPU object store" + tensors = gpu_object_store.get_object(obj_id) - backend = collective.get_group_handle(communicator_name).backend() + backend = collective.get_group_handle(communicator_meta.communicator_name).backend() device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] - for tensor in tensors: - if tensor.device.type != device.type: - # TODO(swang): Right now there is no way to catch this error - # and the receiving Ray task will hang. - raise ValueError( - f"tensor device {tensor.device} does not match device {device}" - ) - collective.send(tensor, dst_rank, group_name=communicator_name) + from ray.experimental.collective import get_tensor_transport_manager + + tensor_transport_manager = get_tensor_transport_manager(backend) + tensor_transport_manager.send_multiple_tensors( + tensors, + tensor_transport_meta, + communicator_meta, + device=device, + ) def __ray_recv__( self, - communicator_name: str, obj_id: str, - src_rank: int, - tensor_meta: List[Tuple["torch.Size", "torch.dtype"]], + tensor_transport_meta: TensorTransportMetadata, + communicator_meta: CommunicatorMetadata, ): """Helper function that runs on the dst actor to receive tensors from the src actor.""" from ray._private.worker import global_worker - backend = collective.get_group_handle(communicator_name).backend() + from ray.experimental.collective import get_tensor_transport_manager + + backend = collective.get_group_handle(communicator_meta.communicator_name).backend() + device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] + tensor_meta = tensor_transport_meta.tensor_meta gpu_object_store = global_worker.gpu_object_manager.gpu_object_store tensors = [] for meta in tensor_meta: shape, dtype = meta tensor = torch.zeros(shape, dtype=dtype, device=device) - collective.recv(tensor, src_rank, group_name=communicator_name) tensors.append(tensor) - gpu_object_store.add_object(obj_id, tensors) - -def __ray_get_tensor_meta__(self, obj_id: str): - """Helper function that runs on the src actor to get the tensor metadata.""" - from ray._private.worker import global_worker + tensor_transport_manager = get_tensor_transport_manager(backend) + tensor_transport_manager.recv_multiple_tensors( + tensors, + tensor_transport_meta, + communicator_meta, + ) - gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - # NOTE: We do not specify a timeout here because the user task that returns - # it could take arbitrarily long and we don't want to trigger a spurious - # timeout. - gpu_object = gpu_object_store.wait_and_get_object(obj_id) - return [(t.shape, t.dtype) for t in gpu_object] + gpu_object_store.add_object(obj_id, tensors) def __ray_fetch_gpu_object__(self, obj_id: str): diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 5f1198c5bd99..e6c86d9adac5 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -630,6 +630,7 @@ py_test_module_list( env = {"RAY_PYTEST_USE_GPU": "1"}, files = [ "test_gpu_objects_nccl.py", + "test_gpu_objects_nixl.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/test_gpu_objects_nixl.py new file mode 100644 index 000000000000..e46a24358d37 --- /dev/null +++ b/python/ray/tests/test_gpu_objects_nixl.py @@ -0,0 +1,46 @@ +import sys +import torch +import pytest +import ray + + +@ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) +class GPUTestActor: + @ray.method(tensor_transport="nixl") + def echo(self, data): + return data.to("cuda") + + def sum(self, data): + return data.sum().item() + + +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) +def test_p2p(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + + src_actor, dst_actor = actors[0], actors[1] + + # Create test tensor + tensor = torch.tensor([1, 2, 3]) + ref = src_actor.echo.remote(tensor) + + # Trigger tensor transfer from src to dst actor + result = dst_actor.sum.remote(ref) + assert tensor.sum().item() == ray.get(result) + + +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) +def test_intra_gpu_tensor_transfer(ray_start_regular): + actor = GPUTestActor.remote() + + tensor = torch.tensor([1, 2, 3]) + + # Intra-actor communication for pure GPU tensors + ref = actor.echo.remote(tensor) + result = actor.sum.remote(ref) + assert tensor.sum().item() == ray.get(result) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/util/collective/collective.py b/python/ray/util/collective/collective.py index 9265d8b06b97..1d92b838d7f6 100644 --- a/python/ray/util/collective/collective.py +++ b/python/ray/util/collective/collective.py @@ -1,4 +1,5 @@ """APIs exposed under the namespace ray.util.collective.""" + import logging import os from typing import List @@ -36,6 +37,13 @@ except ImportError: _TORCH_DISTRIBUTED_AVAILABLE = False +try: + from ray.util.collective.collective_group.nixl_backend import NixlBackend + + _NIXL_AVAILABLE = True +except ImportError: + _NIXL_AVAILABLE = False + def nccl_available(): global _LOG_NCCL_WARNING @@ -57,6 +65,10 @@ def torch_distributed_available(): return _TORCH_DISTRIBUTED_AVAILABLE +def nixl_available(): + return _NIXL_AVAILABLE + + class GroupManager(object): """Use this class to manage the collective groups we created so far. @@ -98,6 +110,10 @@ def create_collective_group( "Creating torch.distributed GLOO group: '{}'...".format(group_name) ) g = TorchGLOOGroup(world_size, rank, group_name) + elif backend == types.Backend.NIXL: + _check_backend_availability(backend) + logger.debug("Creating NIXL Backend: '{}'...".format(group_name)) + g = NixlBackend() else: raise RuntimeError(f"Unexpected backend: {backend}") @@ -719,19 +735,24 @@ def get_group_handle(group_name: str = "default"): if not is_group_initialized(group_name): # try loading from remote info store try: - # if the information is stored in an Info object, - # get and create the group. - name = "info_" + group_name - mgr = ray.get_actor(name=name) - ids, world_size, rank, backend, gloo_timeout = ray.get( - mgr.get_info.remote() - ) - worker = ray._private.worker.global_worker - id_ = worker.core_worker.get_actor_id() - r = rank[ids.index(id_)] - _group_mgr.create_collective_group( - backend, world_size, r, group_name, gloo_timeout - ) + if group_name == types.NIXL_GROUP_NAME: + _group_mgr.create_collective_group( + types.Backend.NIXL, None, None, group_name, None + ) + else: + # if the information is stored in an Info object, + # get and create the group. + name = "info_" + group_name + mgr = ray.get_actor(name=name) + ids, world_size, rank, backend, gloo_timeout = ray.get( + mgr.get_info.remote() + ) + worker = ray._private.worker.global_worker + id_ = worker.core_worker.get_actor_id() + r = rank[ids.index(id_)] + _group_mgr.create_collective_group( + backend, world_size, r, group_name, gloo_timeout + ) except ValueError as exc: # check if this group is initialized using options() if ( @@ -781,6 +802,9 @@ def _check_backend_availability(backend: types.Backend): elif backend == types.Backend.TORCH_GLOO: if not torch_distributed_available(): raise RuntimeError("torch.distributed is not available.") + elif backend == types.Backend.NIXL: + if not nixl_available(): + raise RuntimeError("NIXL is not available.") def _check_inside_actor(): diff --git a/python/ray/util/collective/collective_group/nixl_backend.py b/python/ray/util/collective/collective_group/nixl_backend.py new file mode 100644 index 000000000000..4861a4818301 --- /dev/null +++ b/python/ray/util/collective/collective_group/nixl_backend.py @@ -0,0 +1,96 @@ +from nixl._api import nixl_agent, nixl_agent_config +import ray +from ray.util.collective.types import Backend +from typing import TYPE_CHECKING, List, Tuple +import time + +if TYPE_CHECKING: + import torch + + +class NixlBackend: + """Backend implementation for NIXL tensor transport. + + This class provides functionality for transferring tensors using NIXL. It handles + initialization of the NIXL agent, receiving tensors, and managing NIXL metadata. + """ + + def __init__(self): + """Initialize the NIXL backend. + + Creates a NIXL agent with UCX backend. + """ + agent_config = nixl_agent_config(backends=["UCX"]) + ctx = ray.get_runtime_context() + actor_id = ctx.get_actor_id() + self._nixl_agent = nixl_agent(actor_id, agent_config) + + @classmethod + def backend(cls): + """Get the backend type. + + Returns: + Backend.NIXL: The backend type enum value for NIXL. + """ + return Backend.NIXL + + def recv( + self, + tensors: List["torch.Tensor"], + nixl_serialized_descs: bytes, + remote_nixl_agent_meta: bytes, + ): + """Receive tensors from a remote NIXL agent. + + Args: + tensors: List of tensors to receive into. + nixl_serialized_descs: Serialized NIXL descriptors for the remote tensors. + remote_nixl_agent_meta: Metadata about the remote NIXL agent. + + Raises: + RuntimeError: If the NIXL transfer enters an error state. + """ + nixl_agent = self._nixl_agent + remote_descs = nixl_agent.deserialize_descs(nixl_serialized_descs) + local_descs = nixl_agent.register_memory(tensors) + remote_name = nixl_agent.add_remote_agent(remote_nixl_agent_meta) + + xfer_handle = nixl_agent.initialize_xfer( + "READ", local_descs.trim(), remote_descs, remote_name + ) + + state = nixl_agent.transfer(xfer_handle) + if state == "ERR": + raise RuntimeError("NIXL transfer got to Error state.") + # Since current nixl does not provide a better way, we need to check the state of + # the transfer continuously. + while True: + state = nixl_agent.check_xfer_state(xfer_handle) + if state == "ERR": + raise RuntimeError("NIXL transfer got to Error state.") + if state == "PROC": + time.sleep(0.001) # Avoid busy waiting + elif state == "DONE": + break + + nixl_agent.release_xfer_handle(xfer_handle) + nixl_agent.deregister_memory(local_descs) + + def get_nixl_metadata(self, tensors: List["torch.Tensor"]) -> Tuple[bytes, bytes]: + """Get NIXL metadata for a set of tensors. + + Args: + tensors: List of tensors to get metadata for. + + Returns: + tuple: A tuple containing: + - Serialized NIXL descriptors for the tensors + - Metadata about this NIXL agent + """ + nixl_agent = self._nixl_agent + reg_descs = nixl_agent.register_memory(tensors) + xfer_descs = reg_descs.trim() + return ( + nixl_agent.get_serialized_descs(xfer_descs), + nixl_agent.get_agent_metadata(), + ) diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index 7cb4babaa2bd..06a05ae71549 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -1,12 +1,19 @@ """Types conversion between different backends.""" + from enum import Enum from dataclasses import dataclass from datetime import timedelta +from typing import List, Tuple, TYPE_CHECKING, Optional + +from numpy import int32 _NUMPY_AVAILABLE = True _TORCH_AVAILABLE = True _CUPY_AVAILABLE = True +if TYPE_CHECKING: + import torch + try: import torch as th # noqa: F401 except ImportError: @@ -34,6 +41,7 @@ class Backend(object): GLOO = "gloo" # Use gloo through torch.distributed. TORCH_GLOO = "torch_gloo" + NIXL = "nixl" UNRECOGNIZED = "unrecognized" def __new__(cls, name: str): @@ -47,6 +55,64 @@ def __new__(cls, name: str): return backend +@dataclass +class TensorTransportMetadata: + """Metadata for tensors stored in the GPU object store. + + Args: + tensor_meta: A list of tuples, each containing the shape and dtype of a tensor. + """ + + tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] + + +@dataclass +class NixlTransportMetadata(TensorTransportMetadata): + """Metadata for tensors stored in the GPU object store for NIXL transport. + + Args: + nixl_serialized_descs: Serialized tensor descriptors for NIXL transport. + nixl_agent_meta: The additional metadata of the remote NIXL agent. + """ + + nixl_serialized_descs: Optional[bytes] = None + nixl_agent_meta: Optional[bytes] = None + + +@dataclass +class CollectiveTransportMetadata(TensorTransportMetadata): + """Metadata for tensors stored in the GPU object store for collective transport.""" + + +@dataclass +class CommunicatorMetadata: + """Metadata for the communicator. + + Args: + communicator_name: The name of the communicator. + """ + + communicator_name: str = "" + + +@dataclass +class CollectiveCommunicatorMetadata(CommunicatorMetadata): + """Metadata for the collective communicator (e.g. NCCL, GLOO). + + Args: + src_rank: The rank of the source actor. + dst_rank: The rank of the destination actor. + """ + + src_rank: Optional[int32] = None + dst_rank: Optional[int32] = None + + +@dataclass +class NixlCommunicatorMetadata(CommunicatorMetadata): + """Metadata for the NIXL communicator.""" + + class ReduceOp(Enum): SUM = 0 PRODUCT = 1 @@ -56,6 +122,9 @@ class ReduceOp(Enum): unset_timeout_ms = timedelta(milliseconds=-1) +# This is used to identify the collective group for NIXL. +NIXL_GROUP_NAME = "ray_internal_nixl_group" + @dataclass class AllReduceOptions: diff --git a/python/requirements/ml/dl-gpu-requirements.txt b/python/requirements/ml/dl-gpu-requirements.txt index 59d6b0fb10df..ab46a6df8157 100644 --- a/python/requirements/ml/dl-gpu-requirements.txt +++ b/python/requirements/ml/dl-gpu-requirements.txt @@ -16,3 +16,4 @@ torch-cluster==1.6.3+pt23cu121 torch-spline-conv==1.2.2+pt23cu121 cupy-cuda12x==13.1.0; sys_platform != 'darwin' +nixl==0.4.0; sys_platform != 'darwin' diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 9b3f04f2e59a..0fb1ade03022 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -707,6 +707,8 @@ enum TensorTransport { NCCL = 1; // Use GLOO for tensor transport. GLOO = 2; + // Use NIXL for tensor transport. + NIXL = 3; } // Argument in the task. From 6ad2ef99c84ec80a566516c2d654ce5978d96c2c Mon Sep 17 00:00:00 2001 From: Richard Liaw Date: Tue, 19 Aug 2025 14:12:10 -0700 Subject: [PATCH 0773/1566] [docs/data] Add Autoscaling Config for Context docs (#55712) ## Why are these changes needed? Missing documentation for autoscaling configuration. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Richard Liaw Signed-off-by: Douglas Strodtman --- doc/source/data/api/data_context.rst | 5 +++- python/ray/data/context.py | 35 ++++++++++++++-------------- 2 files changed, 22 insertions(+), 18 deletions(-) diff --git a/doc/source/data/api/data_context.rst b/doc/source/data/api/data_context.rst index d86c640b20e2..eac742df73c8 100644 --- a/doc/source/data/api/data_context.rst +++ b/doc/source/data/api/data_context.rst @@ -3,7 +3,7 @@ Global configuration ==================== -.. currentmodule:: ray.data +.. currentmodule:: ray.data.context .. autoclass:: DataContext @@ -12,3 +12,6 @@ Global configuration :toctree: doc/ DataContext.get_current + + +.. autoclass:: AutoscalingConfig diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 4058adf1ba2f..8c8b2c9023a5 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -230,23 +230,24 @@ class ShuffleStrategy(str, enum.Enum): @DeveloperAPI @dataclass class AutoscalingConfig: - # Actor Pool utilization threshold for upscaling. Once Actor Pool - # exceeds this utilization threshold it will start adding new actors. - # - # NOTE: Actor Pool utilization is defined as ratio of - # - # - Number of submitted tasks to - # - Max number of tasks the current set of Actors in the pool could run - # (defined as Ray Actor's `max_concurrency` * `pool.num_running_actors`) - # - # This utilization value could exceed 100%, when the number of submitted tasks - # exceed available concurrency-slots to run them in the current set of actors. - # - # This is possible when `max_tasks_in_flight_per_actor` (defaults to 2 x - # of `max_concurrency`) > Actor's `max_concurrency` and allows to overlap - # task execution with the fetching of the blocks for the next task providing - # for ability to negotiate a trade-off between autoscaling speed and resource - # efficiency (ie making tasks wait instead of immediately triggering execution) + """Configuration for autoscaling of Ray Data. + + Args: + actor_pool_util_upscaling_threshold: Actor Pool utilization threshold for upscaling. + Once Actor Pool exceeds this utilization threshold it will start adding new actors. + Actor Pool utilization is defined as ratio of number of submitted tasks to the + number of available concurrency-slots to run them in the current set of actors. + This utilization value could exceed 100%, when the number of submitted tasks + exceed available concurrency-slots to run them in the current set of actors. + This is possible when `max_tasks_in_flight_per_actor` + (defaults to 2 x of `max_concurrency`) > Actor's `max_concurrency` + and allows to overlap task execution with the fetching of the blocks + for the next task providing for ability to negotiate a trade-off + between autoscaling speed and resource efficiency (i.e., + making tasks wait instead of immediately triggering execution). + actor_pool_util_downscaling_threshold: Actor Pool utilization threshold for downscaling. + """ + actor_pool_util_upscaling_threshold: float = ( DEFAULT_ACTOR_POOL_UTIL_UPSCALING_THRESHOLD ) From c57e1618bdaa7cdb7eb043bc190a264d4aaeb703 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 19 Aug 2025 15:21:46 -0700 Subject: [PATCH 0774/1566] [core][1eventx/01] job event: add schema for driver job event (#55032) This is the first in a series of PRs to support JobEvent in the oneevent framework. The full effort will include adding the JobEvent schema, introducing a generic interface for exporting different types of events to the Event Aggregator, and implementing the necessary integration logic. ---- In this initial PR, we add the DriverJobEvent schema. To be consistent with the design of task events, we also split this into - DriverDefinitionJobEvent: the static information about this job, e.g. node id, script, etc. - DriverExecutionJobEvent: the runtime, dynamic information about this job, e.g. state Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 6 +- .../aggregator/tests/test_aggregator_agent.py | 139 ++++++++++++++++++ src/ray/protobuf/BUILD.bazel | 32 ++++ src/ray/protobuf/events_base_event.proto | 6 + .../events_driver_job_definition_event.proto | 38 +++++ .../events_driver_job_execution_event.proto | 43 ++++++ 6 files changed, 263 insertions(+), 1 deletion(-) create mode 100644 src/ray/protobuf/events_driver_job_definition_event.proto create mode 100644 src/ray/protobuf/events_driver_job_execution_event.proto diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index d970623633a9..967016c39ce9 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -77,7 +77,11 @@ # Valid values: TASK_DEFINITION_EVENT, TASK_EXECUTION_EVENT, ACTOR_TASK_DEFINITION_EVENT, ACTOR_TASK_EXECUTION_EVENT # The list of all supported event types can be found in src/ray/protobuf/events_base_event.proto (EventType enum) # By default TASK_PROFILE_EVENT is not exposed to external services -DEFAULT_EXPOSABLE_EVENT_TYPES = "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT" +DEFAULT_EXPOSABLE_EVENT_TYPES = ( + "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT," + "ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT," + "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT" +) EXPOSABLE_EVENT_TYPES = os.environ.get( f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES ) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 2b974f87618c..e658849969bc 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -28,6 +28,17 @@ from ray.core.generated.events_base_event_pb2 import RayEvent from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents +from ray.core.generated.events_driver_job_definition_event_pb2 import ( + DriverJobDefinitionEvent, +) +from ray.core.generated.events_driver_job_execution_event_pb2 import ( + DriverJobExecutionEvent, +) +from ray.core.generated.runtime_env_common_pb2 import ( + RuntimeEnvInfo, + RuntimeEnvUris, + RuntimeEnvConfig, +) from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent @@ -486,5 +497,133 @@ def _verify_profile_event_json(req_json, expected_timestamp): assert event_entry["extraData"] == '{"cpu_usage": 0.8}' +@_with_aggregator_port +def test_aggregator_agent_receive_driver_job_definition_event( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.gcs_address, cluster.head_node.node_id + ) + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + test_time = 1751302230130457542 + seconds, nanos = divmod(test_time, 10**9) + timestamp = Timestamp(seconds=seconds, nanos=nanos) + request = AddEventsRequest( + events_data=RayEventsData( + events=[ + RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.DRIVER_JOB_DEFINITION_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + message="driver job event", + driver_job_definition_event=DriverJobDefinitionEvent( + job_id=b"1", + config=DriverJobDefinitionEvent.Config( + runtime_env_info=RuntimeEnvInfo( + serialized_runtime_env="{}", + uris=RuntimeEnvUris( + working_dir_uri="file:///tmp/ray/runtime_env", + py_modules_uris=[], + ), + runtime_env_config=RuntimeEnvConfig( + setup_timeout_seconds=10, + eager_install=True, + log_files=[], + ), + ), + metadata={}, + ), + ), + ), + ], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + stub.AddEvents(request) + wait_for_condition(lambda: len(httpserver.log) == 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + assert req_json[0]["message"] == "driver job event" + assert ( + req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"][ + "serializedRuntimeEnv" + ] + == "{}" + ) + assert ( + req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"]["uris"][ + "workingDirUri" + ] + == "file:///tmp/ray/runtime_env" + ) + assert ( + req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"][ + "runtimeEnvConfig" + ]["setupTimeoutSeconds"] + == 10.0 + ) + + +@_with_aggregator_port +def test_aggregator_agent_receive_driver_job_execution_event( + ray_start_cluster_head_with_env_vars, httpserver +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.gcs_address, cluster.head_node.node_id + ) + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + test_time = 1751302230130457542 + seconds, nanos = divmod(test_time, 10**9) + timestamp = Timestamp(seconds=seconds, nanos=nanos) + request = AddEventsRequest( + events_data=RayEventsData( + events=[ + RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.DRIVER_JOB_EXECUTION_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + message="driver job execution event", + driver_job_execution_event=DriverJobExecutionEvent( + job_id=b"1", + states=[ + DriverJobExecutionEvent.StateTimestamp( + state=DriverJobExecutionEvent.State.CREATED, + timestamp=Timestamp(seconds=1234567890), + ), + DriverJobExecutionEvent.StateTimestamp( + state=DriverJobExecutionEvent.State.FAILURE, + timestamp=Timestamp(seconds=1234567890), + ), + ], + ), + ), + ], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + stub.AddEvents(request) + wait_for_condition(lambda: len(httpserver.log) == 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + assert req_json[0]["message"] == "driver job execution event" + assert ( + req_json[0]["driverJobExecutionEvent"]["jobId"] + == base64.b64encode(b"1").decode() + ) + assert len(req_json[0]["driverJobExecutionEvent"]["states"]) == 2 + assert req_json[0]["driverJobExecutionEvent"]["states"][0]["state"] == "CREATED" + assert req_json[0]["driverJobExecutionEvent"]["states"][1]["state"] == "FAILURE" + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index a4b1f3c61ff4..6d896d64245d 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -487,16 +487,48 @@ proto_library( ], ) +proto_library( + name = "events_driver_job_definition_event_proto", + srcs = ["events_driver_job_definition_event.proto"], + deps = [ + ":common_proto", + ":runtime_env_common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + +proto_library( + name = "events_driver_job_execution_event_proto", + srcs = ["events_driver_job_execution_event.proto"], + deps = [ + ":common_proto", + ":runtime_env_common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + cc_proto_library( name = "events_task_profile_events_cc_proto", deps = [":events_task_profile_events_proto"], ) +cc_proto_library( + name = "events_driver_job_definition_event_cc_proto", + deps = [":events_driver_job_definition_event_proto"], +) + +cc_proto_library( + name = "events_driver_job_execution_event_cc_proto", + deps = [":events_driver_job_execution_event_proto"], +) + proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], deps = [ ":events_actor_task_definition_event_proto", + ":events_driver_job_definition_event_proto", + ":events_driver_job_execution_event_proto", ":events_task_definition_event_proto", ":events_task_execution_event_proto", ":events_task_profile_events_proto", diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index a68a9e02c112..3b5c9e913944 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -21,6 +21,8 @@ import "src/ray/protobuf/events_actor_task_definition_event.proto"; import "src/ray/protobuf/events_task_definition_event.proto"; import "src/ray/protobuf/events_task_execution_event.proto"; import "src/ray/protobuf/events_task_profile_events.proto"; +import "src/ray/protobuf/events_driver_job_definition_event.proto"; +import "src/ray/protobuf/events_driver_job_execution_event.proto"; // This is the base message for all ray events. message RayEvent { @@ -46,6 +48,8 @@ message RayEvent { TASK_EXECUTION_EVENT = 2; ACTOR_TASK_DEFINITION_EVENT = 3; TASK_PROFILE_EVENT = 4; + DRIVER_JOB_DEFINITION_EVENT = 5; + DRIVER_JOB_EXECUTION_EVENT = 6; } // The severities of events that can be generated. @@ -85,4 +89,6 @@ message RayEvent { TaskExecutionEvent task_execution_event = 9; ActorTaskDefinitionEvent actor_task_definition_event = 10; TaskProfileEvents task_profile_events = 11; + DriverJobDefinitionEvent driver_job_definition_event = 12; + DriverJobExecutionEvent driver_job_execution_event = 13; } diff --git a/src/ray/protobuf/events_driver_job_definition_event.proto b/src/ray/protobuf/events_driver_job_definition_event.proto new file mode 100644 index 000000000000..498982ee220d --- /dev/null +++ b/src/ray/protobuf/events_driver_job_definition_event.proto @@ -0,0 +1,38 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + + +syntax = "proto3"; + +import "google/protobuf/timestamp.proto"; +import "src/ray/protobuf/runtime_env_common.proto"; + +package ray.rpc.events; + +// Message containing the definition information of a driver job. +// The message is expected to be emitted once per job creation. +// +// For runtime information associated with this event, see DriverJobExecutionEvent. +message DriverJobDefinitionEvent { + message Config { + RuntimeEnvInfo runtime_env_info = 1; + map metadata = 2; + } + + bytes job_id = 1; + int64 driver_pid = 3; + bytes driver_node_id = 4; + string entrypoint = 5; + Config config = 6; +} diff --git a/src/ray/protobuf/events_driver_job_execution_event.proto b/src/ray/protobuf/events_driver_job_execution_event.proto new file mode 100644 index 000000000000..73153b7b05e2 --- /dev/null +++ b/src/ray/protobuf/events_driver_job_execution_event.proto @@ -0,0 +1,43 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + + +syntax = "proto3"; + +import "google/protobuf/timestamp.proto"; +import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/common.proto"; + +package ray.rpc.events; + +// Message containing the execution information of a driver job. It can be used to +// capture the full state transition history. +// +// For static information associated with this event, see DriverJobDefinitionEvent. +message DriverJobExecutionEvent { + enum State { + UNSPECIFIED = 0; + CREATED = 1; + FAILURE = 2; + SUCCESS = 3; + } + + message StateTimestamp { + State state = 1; + google.protobuf.Timestamp timestamp = 2; + } + + bytes job_id = 1; + repeated StateTimestamp states = 2; +} From 870e202a9e95d31b5e71f1a1ca7085e6bffc6f53 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Tue, 19 Aug 2025 15:51:13 -0700 Subject: [PATCH 0775/1566] [Serve] Updates test_deploy_2.py to hardcode route_prefix for test_change_route_prefix (#55700) This test specifies the route_prefix value for one of the urls for better readability. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_deploy_app_2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index fe073c07eb6b..5d04dc45d60d 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -575,8 +575,8 @@ def check_switched(): assert "Path '/old' not found." in resp.text # Response from new route should be same PID - url = get_application_url() - pid2 = httpx.get(url).json()[0] + url = get_application_url(exclude_route_prefix=True) + pid2 = httpx.get(f"{url}/new").json()[0] assert pid2 == pid1 return True From f9d13de08049c2fd4d6960bc0ef901df6ab5ef97 Mon Sep 17 00:00:00 2001 From: lkchen Date: Tue, 19 Aug 2025 17:37:14 -0700 Subject: [PATCH 0776/1566] [ci] clean up `.github/dependabot.yml`: remove entry for "compact requirements" (#55744) fixes yaml grammar error. --------- Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- .github/dependabot.yml | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 25358b043673..5f43c1d9f812 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -21,16 +21,6 @@ updates: open-pull-requests-limit: 5 reviewers: - "ray-project/ray-tune" - # compat requirements should not be updated - - package-ecosystem: "pip" - directory: "/python/requirements/compat" - commit-message: - prefix: "[air/do-not-merge]" - include: "scope" - ignore: * - open-pull-requests-limit: 0 - reviewers: - - "ray-project/ray-tune" # Data Requirements. - package-ecosystem: "pip" directory: "/python/requirements/data_processing" From 5ace5828f41494b4e0791ffa8d0fa6c569845dea Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 19 Aug 2025 21:48:17 -0700 Subject: [PATCH 0777/1566] [train] Revert "Make ray.train.get_dataset_shard lazily configure the dataset sharding (#55230)" (#55760) ## Summary Reverts #55230 because it introduced a performance regression. Ray dataset objects can contain a lot of metadata (e.g., for `read_images`, if the dataset has a lot of files, the metadata contains all of the filepaths) and the dataset object size can get into the GBs. These objects take a while to serialize and ship over to remote actors. #55230 introduced a `DatasetManager` actor that would send over the dataset iterator objects one by one to each train worker. The actor method return values would be serialized one by one, which meant that the train workers would need to wait one by one to receive their data iterator object. ## Repro script ```python import ray import ray.data from ray.data import DataContext from ray.train.v2._internal.callbacks.datasets import DatasetManager from ray.data.datasource.partitioning import Partitioning train_dir = "s3://anyscale-imagenet/ILSVRC/Data/CLS-LOC/train" train_partitioning = Partitioning( "dir", base_dir=train_dir, field_names=["class"] ) train_ds = ray.data.read_images( train_dir, mode="RGB", include_paths=False, partitioning=train_partitioning, ) num_workers = 16 datasets = {"train": train_ds, "val": train_ds} dataset_manager = ray.remote(DatasetManager).remote( datasets=datasets, data_config=ray.train.DataConfig(), data_context=DataContext.get_current(), world_size=num_workers, worker_node_ids=None, ) def get_size_bytes(obj): import ray.cloudpickle as ray_pickle size_bytes = len(ray_pickle.dumps(obj)) return size_bytes import time start = time.perf_counter() ray.get([consumer.remote(it) for it in iters]) end = time.perf_counter() print("elapsed: ", end - start) @ray.remote(num_gpus=1) def consumer(dm, rank): from ray.train.v2._internal.callbacks.datasets import DatasetShardMetadata dataset_info = DatasetShardMetadata("train", rank) import time start = time.perf_counter() ds_shard = ray.get(dm.get_dataset_shard.remote(dataset_info)) end = time.perf_counter() size_mb = get_size_bytes(ds_shard) / (1024*1024) print(f"[{rank=}] TIME TO GET THE DATASET SHARD (SIZE={size_mb}MB):", end - start) tasks = ray.get([consumer.remote(dataset_manager, rank) for rank in range(num_workers)]) ``` ```python (consumer pid=119449, ip=10.0.159.6) [rank=0] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 31.03426499699981 (consumer pid=111901, ip=10.0.152.248) [rank=5] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 42.119795100000374 (consumer pid=130910, ip=10.0.188.145) [rank=12] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 53.78782823600068 (consumer pid=111903, ip=10.0.152.248) [rank=7] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 66.02914485200017 (consumer pid=111897, ip=10.0.152.248) [rank=3] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 77.95694264599933 (consumer pid=111899, ip=10.0.152.248) [rank=6] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 89.89265315800003 (consumer pid=119443, ip=10.0.159.6) [rank=1] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 102.69119121899985 (consumer pid=119452, ip=10.0.159.6) [rank=4] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 114.67034755900022 (consumer pid=130914, ip=10.0.188.145) [rank=14] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 125.7356306720003 (consumer pid=130913, ip=10.0.188.145) [rank=13] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 137.7492523689998 (consumer pid=119450, ip=10.0.159.6) [rank=2] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 151.02738245799992 (consumer pid=130915, ip=10.0.188.145) [rank=15] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 162.16050169899972 (consumer pid=115521, ip=10.0.159.125) [rank=8] TIME TO GET THE DATASET SHARD (SIZE=782.4418258666992MB): 174.8550526050003 ``` --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../train/v2/_internal/callbacks/datasets.py | 183 ++------------- .../train/v2/_internal/execution/context.py | 40 +--- .../v2/_internal/execution/train_fn_utils.py | 8 +- .../execution/worker_group/worker.py | 8 +- .../train/v2/tests/test_data_integration.py | 218 +----------------- 5 files changed, 36 insertions(+), 421 deletions(-) diff --git a/python/ray/train/v2/_internal/callbacks/datasets.py b/python/ray/train/v2/_internal/callbacks/datasets.py index 3b31dcb96644..a51b633d457a 100644 --- a/python/ray/train/v2/_internal/callbacks/datasets.py +++ b/python/ray/train/v2/_internal/callbacks/datasets.py @@ -1,162 +1,20 @@ -import asyncio import copy -from dataclasses import dataclass from typing import Any, Callable, Dict, List, Union import ray.train -from ray.data import DataIterator, Dataset, NodeIdStr +from ray.data import Dataset from ray.data.context import DataContext from ray.train.v2._internal.execution.callback import WorkerGroupCallback from ray.train.v2._internal.execution.worker_group.worker_group import ( Worker, WorkerGroup, ) -from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # A type representing either a ray.data.Dataset or a function that returns a # ray.data.Dataset and accepts no arguments. GenDataset = Union[Dataset, Callable[[], Dataset]] -@dataclass -class DatasetShardMetadata: - """Metadata about a dataset shard used for lookup and configuration.""" - - dataset_name: str - world_rank: int - - -class DatasetManager: - """Manages the dataset shards for datasets configured in the trainer.""" - - def __init__( - self, - datasets: Dict[str, GenDataset], - data_config: ray.train.DataConfig, - data_context: DataContext, - world_size: int, - worker_node_ids: List[NodeIdStr], - ): - self._datasets = {k: v() if callable(v) else v for k, v in datasets.items()} - self._data_config = data_config - self._datasets_to_split = ( - set(self._datasets.keys()) - if data_config._datasets_to_split == "all" - else set(data_config._datasets_to_split) - ) - self._world_size = world_size - self._worker_node_ids = worker_node_ids - - # Maps dataset name to a list of cached `DataIterator`s corresponding to - # Train worker ranks. - self._dataset_iterators: Dict[str, List[DataIterator]] = {} - - # A condition variable to synchronize the calls to the async `get_dataset_shard` method. - self._condition = asyncio.Condition() - - DataContext._set_current(data_context) - - def _create_dataset_iterators( - self, dataset_info: DatasetShardMetadata, base_dataset: Dataset - ) -> List[DataIterator]: - dataset_name = dataset_info.dataset_name - - iterators_per_rank = self._data_config.configure( - datasets={dataset_name: base_dataset}, - world_size=self._world_size, - worker_handles=None, - worker_node_ids=self._worker_node_ids, - ) - assert len(iterators_per_rank) == self._world_size - # TODO: Update DataConfig to return a List[DataIterator] directly - # for configuring a single dataset. - # Convert the List[Dict[str, DataIterator]] to a List[DataIterator], - # since we only configured one dataset. - return [iterators_per_rank[i][dataset_name] for i in range(self._world_size)] - - def _get_unsharded_dataset_iterator( - self, dataset_info: DatasetShardMetadata - ) -> DataIterator: - """Returns the dataset iterator for a dataset that is excluded - from `DataConfig.datasets_to_split`. - - Note that this method is NOT a barrier across workers and can be called - by any subset of workers and will return immediately. - """ - dataset_name = dataset_info.dataset_name - world_rank = dataset_info.world_rank - - if dataset_name not in self._dataset_iterators: - self._dataset_iterators[dataset_name] = self._create_dataset_iterators( - dataset_info, self._datasets[dataset_name] - ) - - return self._dataset_iterators[dataset_name][world_rank] - - async def _get_sharded_dataset_iterator( - self, dataset_info: DatasetShardMetadata - ) -> DataIterator: - """Returns the dataset iterator for a dataset that is included - in `DataConfig.datasets_to_split`. - - Note that this method is a barrier across workers, - and all workers must call this method before training. - """ - dataset_name = dataset_info.dataset_name - world_rank = dataset_info.world_rank - - async with self._condition: - if dataset_name in self._dataset_iterators: - # If the dataset iterators have already been created, return the - # existing one. - iterator = self._dataset_iterators[dataset_name][world_rank] - elif world_rank == 0: - # In this case, the dataset iterators have not been created yet. - # The dataset only needs to be configured once globally for all workers. - # Do it only when the rank 0 worker calls this method. - iterators = self._create_dataset_iterators( - dataset_info, self._datasets[dataset_name] - ) - iterator = iterators[world_rank] - - # Cache the dataset iterators for future use. - self._dataset_iterators[dataset_name] = iterators - self._condition.notify_all() - else: - # Wait for the dataset iterators to be created by the rank 0 worker. - await self._condition.wait_for( - lambda: dataset_name in self._dataset_iterators - ) - iterator = self._dataset_iterators[dataset_name][world_rank] - return iterator - - async def get_dataset_shard( - self, - dataset_info: DatasetShardMetadata, - ) -> DataIterator: - """Create and return the dataset shard iterator for a Ray Train worker's - call to `ray.train.get_dataset_shard`. - - This method is a barrier that should be called by all Ray Train workers at once. - If the dataset iterators have already been created, return the existing ones. - Otherwise, create the dataset iterators and cache them. - - Here's an example of how this method is used with 4 workers: - - Rank 2 calls get_dataset_shard, waits on the condition variable. - Rank 1 calls get_dataset_shard, waits on the condition variable. - Rank 0 calls get_dataset_shard, creates the dataset iterators, caches them, - and notifies all workers hanging on the condition variable. - Rank 3 calls get_dataset_shard, returns the cached iterator. - """ - dataset_name = dataset_info.dataset_name - - if dataset_name in self._datasets_to_split: - return await self._get_sharded_dataset_iterator(dataset_info) - else: - return self._get_unsharded_dataset_iterator(dataset_info) - - class DatasetsSetupCallback(WorkerGroupCallback): """The callback to setup Ray Datasets for the worker group.""" @@ -173,7 +31,7 @@ def __init__( # Capture the current DataContext to propagate it to # the Train workers later. # The propagation works in the following way: - # 1. This callback is created when user creates the Trainer. + # 1. This callback is created when user create the Trainer. # 2. Then this callback will be passed to the Controller actor. # 3. Lastly, when the worker group is initialized, the Controller # will call the `after_worker_group_start` callback to propagate @@ -187,39 +45,26 @@ def get_train_total_resources( these resources logically from its available pool.""" return scaling_config.total_resources - # -------------------------- - # WorkerGroupCallback - # -------------------------- - def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: - if not self._datasets: - return {"dataset_manager": [None] * len(workers)} - - world_size = len(workers) - worker_node_ids = [worker.metadata.node_id for worker in workers] + # Configure dataset shards + datasets = {k: v() if callable(v) else v for k, v in self._datasets.items()} + node_ids = [worker.metadata.node_id for worker in workers] + # Notify the DataConfig about the total resources reserved for training. total_train_resources = self.get_train_total_resources(self._scaling_config) self._data_config.set_train_total_resources( total_train_resources.get("CPU", 0), total_train_resources.get("GPU", 0) ) - dataset_manager = ( - ray.remote(DatasetManager) - .options( - num_cpus=0, - scheduling_strategy=NodeAffinitySchedulingStrategy( - ray.get_runtime_context().get_node_id(), soft=False - ), - ) - .remote( - datasets=self._datasets, - data_config=self._data_config, - data_context=self._data_context, - world_size=world_size, - worker_node_ids=worker_node_ids, - ) + dataset_shards = self._data_config.configure( + datasets, + world_size=len(workers), + worker_handles=None, + worker_node_ids=node_ids, ) - return {"dataset_manager": [dataset_manager] * len(workers)} + assert len(dataset_shards) == len(workers) + + return {"dataset_shards": dataset_shards} def after_worker_group_start(self, worker_group: WorkerGroup): # Propagate DataContext diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index ecb3ae3f9cd8..fd2f0df8e23e 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -7,7 +7,6 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional import ray -from ray.actor import ActorHandle from ray.data import DataIterator, Dataset from ray.train import BackendConfig, Checkpoint, DataConfig from ray.train._internal import session @@ -18,10 +17,6 @@ from ray.train.v2.api.config import RunConfig, ScalingConfig if TYPE_CHECKING: - from ray.train.v2._internal.callbacks.datasets import ( - DatasetManager, - DatasetShardMetadata, - ) from ray.train.v2._internal.execution.callback import TrainContextCallback from ray.train.v2._internal.execution.worker_group.thread_runner import ThreadRunner @@ -97,11 +92,9 @@ class TrainContext: distributed_context: DistributedContext execution_context: ExecutionContext storage_context: StorageContext + dataset_shards: Dict[str, DataIterator] checkpoint: Optional[Checkpoint] = None - dataset_manager: Optional[ActorHandle["DatasetManager"]] = None - _cached_dataset_shards: Dict[str, DataIterator] = field(default_factory=dict) - @_copy_doc(session.get_experiment_name) def get_experiment_name(self) -> str: return self.train_run_context.run_config.name @@ -140,7 +133,7 @@ def get_synchronization_actor(self): def get_checkpoint(self): return self.checkpoint - def get_dataset_shard(self, dataset_info: "DatasetShardMetadata") -> DataIterator: + def get_dataset_shard(self, dataset_name: str) -> DataIterator: """Returns the :class:`ray.data.DataIterator` shard for this worker. Call :meth:`~ray.data.DataIterator.iter_torch_batches` or @@ -148,34 +141,19 @@ def get_dataset_shard(self, dataset_info: "DatasetShardMetadata") -> DataIterato appropriate framework-specific data type. Args: - dataset_info: The shard metadata, including the dataset name and worker rank. - + dataset_name: Name of the dataset shard. Returns: The ``DataIterator`` shard with the given name for this worker. - Raises: KeyError: If the dataset shard with the given name is not found. """ - dataset_name = dataset_info.dataset_name - error = KeyError( - f"Dataset shard for '{dataset_name}' not found. " - "Please ensure that the dataset is passed through the Trainer `datasets` " - "argument." - ) - - if self.dataset_manager is None: - raise error - - if dataset_info.dataset_name in self._cached_dataset_shards: - return self._cached_dataset_shards[dataset_info.dataset_name] - try: - shard = ray.get(self.dataset_manager.get_dataset_shard.remote(dataset_info)) - except KeyError as e: - raise error from e - - self._cached_dataset_shards[dataset_info.dataset_name] = shard - return shard + return self.dataset_shards[dataset_name] + except KeyError: + raise KeyError( + f"Dataset {dataset_name} not found. Available datasets: " + f"{list(self.dataset_shards.keys())}." + ) def get_context_callbacks(self) -> List["TrainContextCallback"]: return self.execution_context.train_context_callbacks diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index b6b784de163e..28bf683fda2d 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -57,13 +57,7 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: Returns: The DataIterator shard for this worker. """ - from ray.train.v2._internal.callbacks.datasets import DatasetShardMetadata - - dataset_info = DatasetShardMetadata( - dataset_name=dataset_name, - world_rank=get_internal_train_context().get_world_rank(), - ) - return get_internal_train_context().get_dataset_shard(dataset_info) + return get_internal_train_context().get_dataset_shard(dataset_name) def get_context(self) -> ExternalTrainContext: return ExternalTrainContext() diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index b3fec846128d..667ab318296b 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -10,6 +10,7 @@ import ray._private.ray_constants as ray_constants from .thread_runner import ThreadRunner from ray.actor import ActorHandle +from ray.data.iterator import DataIterator from ray.train import Checkpoint from ray.train.v2._internal.constants import ( DEFAULT_ENABLE_WORKER_LOGGING, @@ -19,6 +20,7 @@ TrainContextCallback, WorkerCallback, ) +from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor from ray.train.v2._internal.execution.context import ( DistributedContext, ExecutionContext, @@ -187,10 +189,10 @@ def init_train_context( self, train_run_context: TrainRunContext, distributed_context: DistributedContext, - synchronization_actor: ActorHandle, + synchronization_actor: SynchronizationActor, storage_context: StorageContext, worker_callbacks: List[Union[WorkerCallback, TrainContextCallback]], - dataset_manager: Optional[ActorHandle] = None, + dataset_shards: Dict[str, DataIterator] = None, checkpoint: Optional[Checkpoint] = None, ): self._callbacks = [c for c in worker_callbacks if isinstance(c, WorkerCallback)] @@ -209,8 +211,8 @@ def init_train_context( train_context_callbacks=context_callbacks_to_propagate, ), storage_context=storage_context, + dataset_shards=dataset_shards or {}, checkpoint=checkpoint, - dataset_manager=dataset_manager, ) # Configure the train and root logger for the worker processes. if ray_constants.env_bool( diff --git a/python/ray/train/v2/tests/test_data_integration.py b/python/ray/train/v2/tests/test_data_integration.py index ff5d5acf9b0f..fe8159d5190f 100644 --- a/python/ray/train/v2/tests/test_data_integration.py +++ b/python/ray/train/v2/tests/test_data_integration.py @@ -1,4 +1,3 @@ -import asyncio from unittest.mock import MagicMock import pytest @@ -8,11 +7,7 @@ from ray.data import DataContext, ExecutionResources from ray.data._internal.iterator.stream_split_iterator import StreamSplitDataIterator from ray.data.tests.conftest import restore_data_context # noqa: F401 -from ray.train.v2._internal.callbacks.datasets import ( - DatasetManager, - DatasetShardMetadata, - DatasetsSetupCallback, -) +from ray.train.v2._internal.callbacks import DatasetsSetupCallback from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.worker_group.worker_group import ( WorkerGroupContext, @@ -92,31 +87,13 @@ def test_dataset_setup_callback(ray_start_4_cpus): data_config=data_config, scaling_config=scaling_config, ) - dataset_manager_for_each_worker = callback.before_init_train_context( - worker_group.get_workers() - )["dataset_manager"] - assert len(dataset_manager_for_each_worker) == NUM_WORKERS - - # We should send the same dataset manager to all workers. - dataset_manager = dataset_manager_for_each_worker[0] - assert all( - manager == dataset_manager for manager in dataset_manager_for_each_worker - ) - - def get_rank_0_shard(dataset_name: str): - for i in range(1, NUM_WORKERS): - dataset_manager.get_dataset_shard.remote( - DatasetShardMetadata(dataset_name=dataset_name, world_rank=i) - ) - - return ray.get( - dataset_manager.get_dataset_shard.remote( - DatasetShardMetadata(dataset_name=dataset_name, world_rank=0) - ) - ) + dataset_shards = callback.before_init_train_context(worker_group.get_workers())[ + "dataset_shards" + ] + assert len(dataset_shards) == NUM_WORKERS - processed_train_ds = get_rank_0_shard("train") - processed_valid_ds = get_rank_0_shard("valid") + processed_train_ds = dataset_shards[0]["train"] + processed_valid_ds = dataset_shards[0]["valid"] assert isinstance(processed_train_ds, StreamSplitDataIterator) assert not isinstance(processed_valid_ds, StreamSplitDataIterator) @@ -132,187 +109,6 @@ def get_rank_0_shard(dataset_name: str): ) -async def get_dataset_shard_for_worker( - dataset_manager: DatasetManager, - dataset_name: str, - num_workers: int, - worker_rank: int, -): - return await asyncio.create_task( - dataset_manager.get_dataset_shard( - DatasetShardMetadata(dataset_name=dataset_name, world_rank=worker_rank) - ) - ) - - -async def get_dataset_shard_for_all_workers( - dataset_manager: DatasetManager, - dataset_name: str, - num_workers: int, -): - return await asyncio.gather( - *[ - get_dataset_shard_for_worker(dataset_manager, dataset_name, num_workers, i) - for i in range(num_workers) - ] - ) - - -@pytest.mark.asyncio -async def test_get_multiple_datasets_serially(ray_start_4_cpus): - """Tests DatasetManager.get_dataset_shard for multiple datasets, - called serially by each worker. This is the typical case. - - Workers 0, 1: - ray.train.get_dataset_shard("sharded_1") - ray.train.get_dataset_shard("sharded_2") - ray.train.get_dataset_shard("unsharded") - """ - - NUM_ROWS = 100 - NUM_TRAIN_WORKERS = 2 - - sharded_ds_1 = ray.data.range(NUM_ROWS) - sharded_ds_2 = ray.data.range(NUM_ROWS) - unsharded_ds = ray.data.range(NUM_ROWS) - - dataset_manager = DatasetManager( - datasets={ - "sharded_1": sharded_ds_1, - "sharded_2": sharded_ds_2, - "unsharded": unsharded_ds, - }, - data_config=ray.train.DataConfig(datasets_to_split=["sharded_1", "sharded_2"]), - data_context=DataContext.get_current(), - world_size=NUM_TRAIN_WORKERS, - worker_node_ids=None, - ) - - shards = await get_dataset_shard_for_all_workers( - dataset_manager, "sharded_1", NUM_TRAIN_WORKERS - ) - assert all(isinstance(shard, StreamSplitDataIterator) for shard in shards) - assert [shard._base_dataset.name for shard in shards] == [ - "sharded_1" - ] * NUM_TRAIN_WORKERS - - shards = await get_dataset_shard_for_all_workers( - dataset_manager, "sharded_2", NUM_TRAIN_WORKERS - ) - assert all(isinstance(shard, StreamSplitDataIterator) for shard in shards) - assert [shard._base_dataset.name for shard in shards] == [ - "sharded_2" - ] * NUM_TRAIN_WORKERS - - shards = await get_dataset_shard_for_all_workers( - dataset_manager, "unsharded", NUM_TRAIN_WORKERS - ) - assert not any(isinstance(shard, StreamSplitDataIterator) for shard in shards) - assert [shard._base_dataset.name for shard in shards] == [ - "unsharded" - ] * NUM_TRAIN_WORKERS - - -@pytest.mark.asyncio -async def test_get_multiple_datasets_interleaved(ray_start_4_cpus): - """Tests DatasetManager.get_dataset_shard for multiple datasets, - called in an interleaved order by workers. - - Worker 0: - ray.train.get_dataset_shard("train") - ray.train.get_dataset_shard("valid") - - Worker 1: - ray.train.get_dataset_shard("valid") - ray.train.get_dataset_shard("train") - """ - - NUM_ROWS = 100 - NUM_TRAIN_WORKERS = 2 - - train_ds = ray.data.range(NUM_ROWS) - valid_ds = ray.data.range(NUM_ROWS) - - dataset_manager = DatasetManager( - datasets={"train": train_ds, "valid": valid_ds}, - data_config=ray.train.DataConfig(datasets_to_split="all"), - data_context=DataContext.get_current(), - world_size=NUM_TRAIN_WORKERS, - worker_node_ids=None, - ) - - tasks = [ - get_dataset_shard_for_worker(dataset_manager, "train", NUM_TRAIN_WORKERS, 0), - get_dataset_shard_for_worker(dataset_manager, "valid", NUM_TRAIN_WORKERS, 1), - get_dataset_shard_for_worker(dataset_manager, "train", NUM_TRAIN_WORKERS, 1), - get_dataset_shard_for_worker(dataset_manager, "valid", NUM_TRAIN_WORKERS, 0), - ] - iterators = await asyncio.gather(*tasks) - assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) - assert [iterator._base_dataset.name for iterator in iterators] == [ - "train", - "valid", - "train", - "valid", - ] - - -@pytest.mark.asyncio -async def test_get_multiple_datasets_rank_specific(ray_start_4_cpus): - """Tests rank-specific DatasetManager.get_dataset_shard calls. - - # Epoch 1 - ray.train.get_dataset_shard("train") - - # Validation, which only happens on worker 0. - if world_rank == 0: - ray.train.get_dataset_shard("valid") - - # Epoch 2 - ray.train.get_dataset_shard("train") - """ - - NUM_ROWS = 100 - NUM_TRAIN_WORKERS = 2 - - train_ds = ray.data.range(NUM_ROWS) - valid_ds = ray.data.range(NUM_ROWS) - - dataset_manager = DatasetManager( - datasets={"train": train_ds, "valid": valid_ds}, - data_config=ray.train.DataConfig(datasets_to_split=["train"]), - data_context=DataContext.get_current(), - world_size=NUM_TRAIN_WORKERS, - worker_node_ids=None, - ) - - # ray.train.get_dataset_shard("train") - iterators = await get_dataset_shard_for_all_workers( - dataset_manager, "train", NUM_TRAIN_WORKERS - ) - assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) - assert [iterator._base_dataset.name for iterator in iterators] == [ - "train" - ] * NUM_TRAIN_WORKERS - - # if world_rank == 0: - # ray.train.get_dataset_shard("valid") - iterator = await get_dataset_shard_for_worker( - dataset_manager, "valid", NUM_TRAIN_WORKERS, 0 - ) - assert not isinstance(iterator, StreamSplitDataIterator) - assert iterator._base_dataset.name == "valid" - - # ray.train.get_dataset_shard("train") - iterators = await get_dataset_shard_for_all_workers( - dataset_manager, "train", NUM_TRAIN_WORKERS - ) - assert all(isinstance(iterator, StreamSplitDataIterator) for iterator in iterators) - assert [iterator._base_dataset.name for iterator in iterators] == [ - "train" - ] * NUM_TRAIN_WORKERS - - if __name__ == "__main__": import sys From bc0b7b8250ad03373cb81d1957a3f5ec505c876a Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Tue, 19 Aug 2025 21:55:11 -0700 Subject: [PATCH 0778/1566] [Data] Make _hash_partition a separate function (#55759) Signed-off-by: Douglas Strodtman --- .../_internal/arrow_ops/transform_pyarrow.py | 25 ++++++++++++------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index 71a85c91d168..b97cf4d641c6 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -67,6 +67,21 @@ def _create_empty_table(schema: "pyarrow.Schema"): return pa.table(arrays, schema=schema) +def _hash_partition( + table: "pyarrow.Table", + num_partitions: int, +) -> np.ndarray: + + partitions = np.zeros((table.num_rows,), dtype=np.int64) + for i in range(table.num_rows): + _tuple = tuple(c[i] for c in table.columns) + partitions[i] = hash(_tuple) % num_partitions + + # Convert to ndarray to compute hash partition indices + # more efficiently + return partitions + + def hash_partition( table: "pyarrow.Table", *, @@ -90,15 +105,7 @@ def hash_partition( return {0: table} projected_table = table.select(hash_cols) - - partitions = np.zeros((projected_table.num_rows,)) - for i in range(projected_table.num_rows): - _tuple = tuple(c[i] for c in projected_table.columns) - partitions[i] = hash(_tuple) % num_partitions - - # Convert to ndarray to compute hash partition indices - # more efficiently - partitions_array = np.asarray(partitions) + partitions_array = _hash_partition(projected_table, num_partitions=num_partitions) # For every partition compile list of indices of rows falling # under that partition indices = [np.where(partitions_array == p)[0] for p in range(num_partitions)] From 3870ecc5f04dcdb36332820dad46128655555267 Mon Sep 17 00:00:00 2001 From: lkchen Date: Tue, 19 Aug 2025 23:59:41 -0700 Subject: [PATCH 0779/1566] [depset] make `compile_llm_requirements.sh` runnable on macos (#55664) apple silicon macbooks only though. --------- Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- BUILD.bazel | 25 +++++++++++++++++++ WORKSPACE | 15 ++++++++++- ci/compile_llm_requirements.sh | 4 +-- ci/raydepsets/BUILD.bazel | 2 +- ci/raydepsets/cli.py | 13 ++++++---- ci/raydepsets/rayllm.depsets.yaml | 1 + .../requirements_compiled_ray_py311_cpu.txt | 2 +- .../requirements_compiled_ray_py311_cu121.txt | 2 +- .../requirements_compiled_ray_py311_cu128.txt | 2 +- ...quirements_compiled_ray_test_py311_cpu.txt | 2 +- ...irements_compiled_ray_test_py311_cu121.txt | 2 +- ...irements_compiled_ray_test_py311_cu128.txt | 2 +- ...requirements_compiled_rayllm_py311_cpu.txt | 2 +- ...quirements_compiled_rayllm_py311_cu121.txt | 2 +- ...quirements_compiled_rayllm_py311_cu128.txt | 2 +- ...rements_compiled_rayllm_test_py311_cpu.txt | 2 +- ...ments_compiled_rayllm_test_py311_cu121.txt | 2 +- ...ments_compiled_rayllm_test_py311_cu128.txt | 2 +- 18 files changed, 63 insertions(+), 21 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 55adc25a0bc2..96d476d599ca 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -87,6 +87,31 @@ config_setting( flag_values = {":jemalloc_flag": "true"}, ) +config_setting( + name = "linux_x86_64", + constraint_values = [ + "@platforms//os:linux", + "@platforms//cpu:x86_64", + ], +) + +config_setting( + name = "darwin_aarch64", + constraint_values = [ + "@platforms//os:osx", + "@platforms//cpu:aarch64", + ], +) + +alias( + name = "uv_file", + actual = select({ + "//:linux_x86_64": "@uv_x86_64-linux//:file", + "//:darwin_aarch64": "@uv_aarch64-darwin//:file", + "//conditions:default": "@uv_x86_64-linux//:file", + }), +) + # bazel run :refresh_compile_commands for compile_commands generation for clangd # https://github.com/hedronvision/bazel-compile-commands-extractor?tab=readme-ov-file#vscode - directions for clangd config refresh_compile_commands( diff --git a/WORKSPACE b/WORKSPACE index e56c6a109b05..086d69f189ca 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -117,7 +117,7 @@ filegroup( ) http_archive( - name = "uv_x86_64", + name = "uv_x86_64-linux", build_file_content = """ filegroup( name = "file", @@ -129,6 +129,19 @@ filegroup( urls = ["https://github.com/astral-sh/uv/releases/download/0.8.10/uv-x86_64-unknown-linux-gnu.tar.gz"], ) +http_archive( + name = "uv_aarch64-darwin", + build_file_content = """ +filegroup( + name = "file", + srcs = glob(["**"]), + visibility = ["//visibility:public"], +) +""", + sha256 = "5200278ae00b5c0822a7db7a99376b2167e8e9391b29c3de22f9e4fdebc9c0e8", + urls = ["https://github.com/astral-sh/uv/releases/download/0.8.10/uv-aarch64-apple-darwin.tar.gz"], +) + http_archive( name = "com_github_storypku_bazel_iwyu", sha256 = "aa78c331a2cb139f73f7d74eeb4d5ab29794af82023ef5d6d5194f76b7d37449", diff --git a/ci/compile_llm_requirements.sh b/ci/compile_llm_requirements.sh index f3ae705fe228..a9b5f9d06660 100755 --- a/ci/compile_llm_requirements.sh +++ b/ci/compile_llm_requirements.sh @@ -13,8 +13,8 @@ mkdir -p /tmp/ray-deps # Remove the GPU constraints cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt -sed -i '/^--extra-index-url /d' /tmp/ray-deps/requirements_compiled.txt -sed -i '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt +sed -e '/^--extra-index-url /d' -e '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt > /tmp/ray-deps/requirements_compiled.txt.tmp +mv /tmp/ray-deps/requirements_compiled.txt.tmp /tmp/ray-deps/requirements_compiled.txt bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayllm.depsets.yaml diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index eb4d56c06a20..b253519ec9dd 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -14,7 +14,7 @@ py_library( srcs = [ "cli.py", ], - data = ["@uv_x86_64//:file"], + data = ["//:uv_file"], deps = [ ":workspace", ci_require("bazel-runfiles"), diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 867e33c21060..4d1037387a07 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -274,8 +274,11 @@ def _override_uv_flags(flags: List[str], args: List[str]) -> List[str]: def _uv_binary(): r = runfiles.Create() system = platform.system() - if system != "Linux" or platform.processor() != "x86_64": - raise RuntimeError( - f"Unsupported platform/processor: {system}/{platform.processor()}" - ) - return r.Rlocation("uv_x86_64/uv-x86_64-unknown-linux-gnu/uv") + processor = platform.processor() + + if system == "Linux" and processor == "x86_64": + return r.Rlocation("uv_x86_64-linux/uv-x86_64-unknown-linux-gnu/uv") + elif system == "Darwin" and (processor == "arm" or processor == "aarch64"): + return r.Rlocation("uv_aarch64-darwin/uv-aarch64-apple-darwin/uv") + else: + raise RuntimeError(f"Unsupported platform/processor: {system}/{processor}") diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index e2a7a030b5e1..e50b8fc4837d 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -15,6 +15,7 @@ build_arg_sets: - --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE} append_flags: - --python-version=3.11 + - --python-platform=linux build_arg_sets: - cpu - cu121 diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/requirements_compiled_ray_py311_cpu.txt index d8911ad845de..ad9a94b18e3b 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/requirements_compiled_ray_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/requirements_compiled_ray_py311_cu121.txt index 7bf7aa57a1a7..40b0814f0d07 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/requirements_compiled_ray_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/requirements_compiled_ray_py311_cu128.txt index c126614250e6..e03e8073bde2 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/requirements_compiled_ray_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/requirements_compiled_ray_test_py311_cpu.txt index d7a2552b6dc4..6d33de854539 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/requirements_compiled_ray_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/requirements_compiled_ray_test_py311_cu121.txt index ec4ae33bcdb5..8c0d7d9b187a 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/requirements_compiled_ray_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/requirements_compiled_ray_test_py311_cu128.txt index f27f420acd03..b61e16287344 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/requirements_compiled_ray_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 21c5a9872eff..3c7bccfc3a3e 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 530878b8b211..5a778ecca825 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index e7ec34152746..a3b95b0166a9 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index 0fd5d38ace03..b69b89a5ea19 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index c89112408569..ebf1056ff7c6 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 9bcf8ad47312..913cbd464409 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 From 84d85558e49056a0fc5114243b067343ada6edb4 Mon Sep 17 00:00:00 2001 From: Kamil Kaczmarek Date: Wed, 20 Aug 2025 02:30:05 -0700 Subject: [PATCH 0780/1566] [RLlib; docs] Fix formatting of class references. (#55764) Signed-off-by: Douglas Strodtman --- doc/source/rllib/multi-agent-envs.rst | 15 +++++++-------- .../rllib/new-api-stack-migration-guide.rst | 4 ++-- doc/source/rllib/rllib-examples.rst | 2 +- 3 files changed, 10 insertions(+), 11 deletions(-) diff --git a/doc/source/rllib/multi-agent-envs.rst b/doc/source/rllib/multi-agent-envs.rst index 52312b98fefc..9c4a48e10a55 100644 --- a/doc/source/rllib/multi-agent-envs.rst +++ b/doc/source/rllib/multi-agent-envs.rst @@ -34,20 +34,19 @@ RLlib's MultiAgentEnv API .. hint:: - This paragraph describes RLlib's own :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API, which is the + This paragraph describes RLlib's own :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API, which is the recommended way of defining your own multi-agent environment logic. However, if you are already using a third-party multi-agent API, RLlib offers wrappers for :ref:`Farama's PettingZoo API ` as well as :ref:`DeepMind's OpenSpiel API `. -The :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API of RLlib closely follows the +The :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API of RLlib closely follows the conventions and APIs of `Farama's gymnasium (single-agent) `__ envs and even subclasses from `gymnasium.Env`, however, instead of publishing individual observations, rewards, and termination/truncation flags -from `reset()` and `step()`, a custom :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` implementation -outputs dictionaries, one for observations, one for rewards, etc..in which agent IDs map -In each such multi-agent dictionary, agent IDs map to the respective individual agent's observation/reward/etc.. +from `reset()` and `step()`, a custom :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` implementation +outputs separate dictionaries for observations, rewards, etc., where each dictionary maps agent IDs to the corresponding values for each agent. -Here is a first draft of an example :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` implementation: +Here is a first draft of an example :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` implementation: .. code-block:: @@ -72,7 +71,7 @@ Here is a first draft of an example :py:class`~ray.rllib.env.multi_agent_env.Mul Agent Definitions ~~~~~~~~~~~~~~~~~ -The number of agents in your environment and their IDs are entirely controlled by your :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` +The number of agents in your environment and their IDs are entirely controlled by your :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` code. Your env decides, which agents start after an episode reset, which agents enter the episode at a later point, which agents terminate the episode early, and which agents stay in the episode until the entire episode ends. @@ -371,7 +370,7 @@ you can use grouping in conjunction with the policy mapping API described in pri Third Party Multi-Agent Env APIs -------------------------------- -Besides RLlib's own :py:class`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API, you can also use +Besides RLlib's own :py:class:`~ray.rllib.env.multi_agent_env.MultiAgentEnv` API, you can also use various third-party APIs and libraries to implement custom multi-agent envs. diff --git a/doc/source/rllib/new-api-stack-migration-guide.rst b/doc/source/rllib/new-api-stack-migration-guide.rst index 9eb426dcca93..9ab92d53be0c 100644 --- a/doc/source/rllib/new-api-stack-migration-guide.rst +++ b/doc/source/rllib/new-api-stack-migration-guide.rst @@ -330,7 +330,7 @@ Custom callbacks ---------------- If you're using custom callbacks on the old API stack, you're subclassing the ``DefaultCallbacks`` class, -which the Ray team renamed to :py:class`~ray.rllib.callbacks.callbacks.RLlibCallback`. +which the Ray team renamed to :py:class:`~ray.rllib.callbacks.callbacks.RLlibCallback`. You can continue this approach with the new API stack and pass your custom subclass to your config like the following: .. testcode:: @@ -340,7 +340,7 @@ You can continue this approach with the new API stack and pass your custom subcl However, if you're overriding those methods that triggered on the :py:class:`~ray.rllib.env.env_runner.EnvRunner` side, for example, ``on_episode_start/stop/step/etc...``, you may have to translate some call arguments. -The following is a one-to-one translation guide for these types of :py:class`~ray.rllib.callbacks.callbacks.RLlibCallback` +The following is a one-to-one translation guide for these types of :py:class:`~ray.rllib.callbacks.callbacks.RLlibCallback` methods: .. testcode:: diff --git a/doc/source/rllib/rllib-examples.rst b/doc/source/rllib/rllib-examples.rst index 16d49f4917d0..f5842747d60c 100644 --- a/doc/source/rllib/rllib-examples.rst +++ b/doc/source/rllib/rllib-examples.rst @@ -198,7 +198,7 @@ Environments - `Async gym vectorization, parallelizing sub-environments `__: Shows how the `gym_env_vectorize_mode` config setting can significantly speed up your - :py:class`~ray.rllib.env.env_runner.EnvRunner` actors, if your RL environment is slow and you are + :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors, if your RL environment is slow and you're using `num_envs_per_env_runner > 1`. The reason for the performance gain is that each sub-environment runs in its own process. - `Custom env rendering method `__: From f11526e6647589745a06b0360b32d42c8f997a89 Mon Sep 17 00:00:00 2001 From: Hassam Ullah Sheikh Date: Wed, 20 Aug 2025 02:48:11 -0700 Subject: [PATCH 0781/1566] [RLlib; docs] Fixing typo in the RLlib documentation. (#55752) Signed-off-by: Douglas Strodtman --- doc/source/rllib/key-concepts.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/source/rllib/key-concepts.rst b/doc/source/rllib/key-concepts.rst index 7d71b1fc8353..18bbb82f91fa 100644 --- a/doc/source/rllib/key-concepts.rst +++ b/doc/source/rllib/key-concepts.rst @@ -17,12 +17,12 @@ key concepts and general architecture of RLlib. **RLlib overview:** The central component of RLlib is the :py:class:`~ray.rllib.algorithms.algorithm.Algorithm` class, acting as a runtime for executing your RL experiments. Your gateway into using an :ref:`Algorithm ` is the - :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` (cyan) class, allowing + :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` (cyan) class, allowing you to manage available configuration settings, for example learning rate or model architecture. Most :py:class:`~ray.rllib.algorithms.algorithm.Algorithm` objects have - :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors (blue) to collect training samples + :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors (blue) to collect training samples from the :ref:`RL environment ` and - :py:class:`~ray.rllib.core.learner.learner.Learner` actors (yellow) + :py:class:`~ray.rllib.core.learner.learner.Learner` actors (yellow) to compute gradients and update your :ref:`models `. The algorithm synchronizes model weights after an update. From c44f3533b4fb1ebed942cba4a5b9dc745c7c97b5 Mon Sep 17 00:00:00 2001 From: MatthewCWeston <61944935+MatthewCWeston@users.noreply.github.com> Date: Wed, 20 Aug 2025 10:14:51 -0500 Subject: [PATCH 0782/1566] [RLlib] Fixes Implementation of Shared Encoder (#54571) ## Why are these changes needed? The examples section features an implementation of a shared encoder, but the code currently present crashes when run due to a few bugs: - The custom MultiRLModule's modified forward method does not run, as it does not override _forward_exploration, forward_train, and _forward_inference. It might be beneficial to refactor the base MultiRLModule class to facilitate easier extensibility; this PR overrides VPGMultiRLModuleWithSharedEncoder with the best solution I could identify. - The testcode instantiates a PPOConfig, but the modules provided are designed for VPG. I've changed the config line accordingly. - One of the imports in the testcode specified an older location for MultiRLModuleSpec, which I patched. - Additionally, I've implemented a custom VPG learner with a shared optimizer based on Sven's notes about stabilizing training below the testcode. This is used in the new example script. I have included a working example script, multi_agent/shared_encoder_cartpole.py, which demonstrates the shared encoder's functionality. As pettingzoo_shared_value_function.py is still in development, it provides a working example of a shared module under the new API. ## Related issue number Fixes a crash in the example code that persists after the fixes made in Commit [5c64312](https://github.com/ray-project/ray/commit/5c64312736e99f816dd57bf8990a7d7480a8e071). Relates to discussion on the official forum [here](https://discuss.ray.io/t/best-practices-for-implementing-a-shared-critic/22673/3). ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Matthew Co-authored-by: Kamil Kaczmarek Co-authored-by: Artur Niederfahrenhorst Co-authored-by: Artur Niederfahrenhorst Signed-off-by: Douglas Strodtman --- rllib/BUILD | 15 ++ .../vpg_torch_learner_shared_optimizer.py | 32 ++++ .../multi_agent/shared_encoder_cartpole.py | 164 ++++++++++++++++++ .../classes/vpg_using_shared_encoder_rlm.py | 143 +++++++++++---- 4 files changed, 323 insertions(+), 31 deletions(-) create mode 100644 rllib/examples/learners/classes/vpg_torch_learner_shared_optimizer.py create mode 100644 rllib/examples/multi_agent/shared_encoder_cartpole.py diff --git a/rllib/BUILD b/rllib/BUILD index 6c061cedb07f..b35b343ef212 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -5013,6 +5013,21 @@ py_test( ], ) +py_test( + name = "examples/multi_agent/shared_encoder_cartpole", + size = "medium", + srcs = ["examples/multi_agent/shared_encoder_cartpole.py"], + args = [ + "--stop-iter=10", + ], + main = "examples/multi_agent/shared_encoder_cartpole.py", + tags = [ + "examples", + "exclusive", + "team:rllib", + ], +) + # @OldAPIStack py_test( name = "examples/multi_agent/self_play_with_open_spiel_connect_4_ppo_tf_old_api_stack", diff --git a/rllib/examples/learners/classes/vpg_torch_learner_shared_optimizer.py b/rllib/examples/learners/classes/vpg_torch_learner_shared_optimizer.py new file mode 100644 index 000000000000..4594cf1f2f28 --- /dev/null +++ b/rllib/examples/learners/classes/vpg_torch_learner_shared_optimizer.py @@ -0,0 +1,32 @@ +from ray.rllib.examples.learners.classes.vpg_torch_learner import VPGTorchLearner +from ray.rllib.core.learner.torch.torch_learner import TorchLearner +from ray.rllib.utils.annotations import override +from ray.rllib.utils.framework import try_import_torch + +torch, _ = try_import_torch() + + +class VPGTorchLearnerSharedOptimizer(VPGTorchLearner): + """ + In order for a shared module to learn properly, a special, multi-agent Learner + has been set up. There is only one optimizer (used to train all submodules, e.g. + a shared encoder and n policy nets), in order to not destabilize learning. The + latter may happen if more than one optimizer would try to alternatingly optimize + the same shared submodule. + """ + + @override(TorchLearner) + def configure_optimizers(self) -> None: + # Get and aggregate parameters for every module + param_list = [] + for m in self.module.values(): + if self.rl_module_is_compatible(m): + param_list.extend(m.parameters()) + + self.register_optimizer( + optimizer_name="shared_optimizer", + optimizer=torch.optim.Adam(params=param_list), + params=param_list, + # For the policy learning rate, we use the "main" lr in the AlgorithmConfig. + lr_or_lr_schedule=self.config.lr, + ) diff --git a/rllib/examples/multi_agent/shared_encoder_cartpole.py b/rllib/examples/multi_agent/shared_encoder_cartpole.py new file mode 100644 index 000000000000..caea04adef8c --- /dev/null +++ b/rllib/examples/multi_agent/shared_encoder_cartpole.py @@ -0,0 +1,164 @@ +"""A runnable example involving the use of a shared encoder module. + +How to run this script +---------------------- +`python [script file name].py --num-agents=2` + +Control the number of agents and policies (RLModules) via --num-agents. +--encoder-emb-dim sets the encoder output dimension, and --no-shared-encoder +runs the experiment with independent encoders. + +For debugging, use the following additional command line options +`--no-tune --num-env-runners=0` +which should allow you to set breakpoints anywhere in the RLlib code and +have the execution stop there for inspection and debugging. + +For logging to your WandB account, use: +`--wandb-key=[your WandB API key] --wandb-project=[some project name] +--wandb-run-name=[optional: WandB run name (within the defined project)]` + + +Results to expect +----------------- +Under the shared encoder architecture, the target reward of 700 will typically be reached well before 100,000 iterations. A trial concludes as below: + ++---------------------+------------+-----------------+--------+------------------+-------+-------------------+-------------+-------------+ +| Trial name | status | loc | iter | total time (s) | ts | combined return | return p1 | return p0 | +|---------------------+------------+-----------------+--------+------------------+-------+-------------------+-------------+-------------| +| VPG_env_ab318_00000 | TERMINATED | 127.0.0.1:37375 | 33 | 44.2689 | 74197 | 611.35 | 191.71 | 419.64 | ++---------------------+------------+-----------------+--------+------------------+-------+-------------------+-------------+-------------+ + +Without a shared encoder, a lower reward is typically achieved after training for the full 100,000 timesteps: + ++---------------------+------------+-----------------+--------+------------------+--------+-------------------+-------------+-------------+ +| Trial name | status | loc | iter | total time (s) | ts | combined return | return p0 | return p1 | +|---------------------+------------+-----------------+--------+------------------+--------+-------------------+-------------+-------------| +| VPG_env_2e79e_00000 | TERMINATED | 127.0.0.1:39076 | 37 | 52.127 | 103894 | 526.66 | 85.78 | 440.88 | ++---------------------+------------+-----------------+--------+------------------+--------+-------------------+-------------+-------------+ + + +""" + +import gymnasium as gym +from ray.rllib.core.rl_module.rl_module import RLModuleSpec +from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec + +from ray.rllib.examples.algorithms.classes.vpg import VPGConfig +from ray.rllib.examples.learners.classes.vpg_torch_learner_shared_optimizer import ( + VPGTorchLearnerSharedOptimizer, +) +from ray.rllib.examples.envs.classes.multi_agent import MultiAgentCartPole +from ray.rllib.examples.rl_modules.classes.vpg_using_shared_encoder_rlm import ( + SHARED_ENCODER_ID, + SharedEncoder, + VPGPolicyAfterSharedEncoder, + VPGMultiRLModuleWithSharedEncoder, + VPGPolicyNoSharedEncoder, +) +from ray.rllib.utils.test_utils import ( + add_rllib_example_script_args, + run_rllib_example_script_experiment, +) +from ray.tune.registry import register_env + +parser = add_rllib_example_script_args( + default_iters=200, + default_timesteps=100000, + default_reward=600.0, +) +parser.set_defaults( + algo="VPG", + num_agents=2, +) +parser.add_argument("--encoder-emb-dim", type=int, default=64) +parser.add_argument("--no-shared-encoder", action="store_true") + +if __name__ == "__main__": + args = parser.parse_args() + assert args.algo == "VPG", "The shared encoder example is meant for VPG agents." + assert args.num_agents == 2, "This example makes use of two agents." + + single_agent_env = gym.make( + "CartPole-v1" + ) # To allow instantiation of shared encoder + + EMBEDDING_DIM = args.encoder_emb_dim # encoder output dim + + if args.no_shared_encoder: + print("Running experiment without shared encoder") + specs = MultiRLModuleSpec( + rl_module_specs={ + # Large policy net. + "p0": RLModuleSpec( + module_class=VPGPolicyNoSharedEncoder, + model_config={ + "embedding_dim": EMBEDDING_DIM, + "hidden_dim": 64, + }, + ), + # Small policy net. + "p1": RLModuleSpec( + module_class=VPGPolicyNoSharedEncoder, + model_config={ + "embedding_dim": EMBEDDING_DIM, + "hidden_dim": 64, + }, + ), + } + ) + else: + specs = MultiRLModuleSpec( + multi_rl_module_class=VPGMultiRLModuleWithSharedEncoder, + rl_module_specs={ + # Shared encoder. + SHARED_ENCODER_ID: RLModuleSpec( + module_class=SharedEncoder, + model_config={"embedding_dim": EMBEDDING_DIM}, + observation_space=single_agent_env.observation_space, + action_space=single_agent_env.action_space, + ), + # Large policy net. + "p0": RLModuleSpec( + module_class=VPGPolicyAfterSharedEncoder, + model_config={ + "embedding_dim": EMBEDDING_DIM, + "hidden_dim": 64, + }, + ), + # Small policy net. + "p1": RLModuleSpec( + module_class=VPGPolicyAfterSharedEncoder, + model_config={ + "embedding_dim": EMBEDDING_DIM, + "hidden_dim": 64, + }, + ), + }, + ) + + # Register our environment with tune. + register_env( + "env", + lambda _: MultiAgentCartPole(config={"num_agents": args.num_agents}), + ) + + base_config = ( + VPGConfig() + .environment("env" if args.num_agents > 0 else "CartPole-v1") + .training( + learner_class=VPGTorchLearnerSharedOptimizer + if not args.no_shared_encoder + else None, + train_batch_size=2048, + lr=1e-2, + ) + .multi_agent( + policies={"p0", "p1"}, + policy_mapping_fn=lambda agent_id, episode, **kw: f"p{agent_id}", + ) + .rl_module( + rl_module_spec=specs, + ) + ) + + run_rllib_example_script_experiment(base_config, args) diff --git a/rllib/examples/rl_modules/classes/vpg_using_shared_encoder_rlm.py b/rllib/examples/rl_modules/classes/vpg_using_shared_encoder_rlm.py index 05a350de5ff0..2cd2809a6206 100644 --- a/rllib/examples/rl_modules/classes/vpg_using_shared_encoder_rlm.py +++ b/rllib/examples/rl_modules/classes/vpg_using_shared_encoder_rlm.py @@ -3,7 +3,15 @@ from ray.rllib.core import Columns from ray.rllib.core.rl_module.multi_rl_module import MultiRLModule from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule +from ray.rllib.core.models.base import ENCODER_OUT +from ray.rllib.utils.annotations import override +from ray.rllib.utils.typing import ModuleID +from typing import ( + Any, + Dict, + Union, +) SHARED_ENCODER_ID = "shared_encoder" @@ -34,8 +42,7 @@ def setup(self): ) def _forward(self, batch, **kwargs): - # Embeddings can be found in the batch under the "encoder_embeddings" key. - embeddings = batch["encoder_embeddings"] + embeddings = batch[ENCODER_OUT] # Get the output of the encoder logits = self._pi_head(embeddings) return {Columns.ACTION_DIST_INPUTS: logits} @@ -48,23 +55,35 @@ class VPGMultiRLModuleWithSharedEncoder(MultiRLModule): """VPG (vanilla pol. gradient)-style MultiRLModule handling a shared encoder. # __sphinx_doc_mrlm_end__ - This MultiRLModule needs to be configured appropriately as follows: + This MultiRLModule needs to be configured appropriately as below. .. testcode:: # __sphinx_doc_how_to_run_begin__ import gymnasium as gym - from ray.rllib.algorithms.ppo import PPOConfig - from ray.rllib.core import MultiRLModuleSpec, RLModuleSpec + from ray.rllib.core.rl_module.rl_module import RLModuleSpec + from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec + + from ray.rllib.examples.algorithms.classes.vpg import VPGConfig + from ray.rllib.examples.learners.classes.vpg_torch_learner_shared_optimizer import VPGTorchLearnerSharedOptimizer from ray.rllib.examples.envs.classes.multi_agent import MultiAgentCartPole + from ray.rllib.examples.rl_modules.classes.vpg_using_shared_encoder_rlm import ( + SHARED_ENCODER_ID, + SharedEncoder, + VPGPolicyAfterSharedEncoder, + VPGMultiRLModuleWithSharedEncoder, + ) single_agent_env = gym.make("CartPole-v1") EMBEDDING_DIM = 64 # encoder output dim config = ( - PPOConfig() + VPGConfig() .environment(MultiAgentCartPole, env_config={"num_agents": 2}) + .training( + learner_class=VPGTorchLearnerSharedOptimizer, + ) .multi_agent( # Declare the two policies trained. policies={"p0", "p1"}, @@ -74,6 +93,7 @@ class VPGMultiRLModuleWithSharedEncoder(MultiRLModule): ) .rl_module( rl_module_spec=MultiRLModuleSpec( + multi_rl_module_class=VPGMultiRLModuleWithSharedEncoder, rl_module_specs={ # Shared encoder. SHARED_ENCODER_ID: RLModuleSpec( @@ -102,47 +122,52 @@ class VPGMultiRLModuleWithSharedEncoder(MultiRLModule): ), ) ) - algo = config.build() - print(algo.get_module("p0")) + algo = config.build_algo() + print(algo.train()) # __sphinx_doc_how_to_run_end__ - - Also note that in order to learn properly, a special, multi-agent Learner - accounting for the shared encoder must be setup. This Learner should have only - one optimizer (used to train all submodules: encoder and the n policy nets) in - order to not destabilize learning. The latter would happen if more than one - optimizer would try to alternatingly optimize the same shared encoder submodule. # __sphinx_doc_mrlm_2_begin__ """ def setup(self): # Call the super's setup(). super().setup() - # Assert, we have the shared encoder submodule. - assert ( - SHARED_ENCODER_ID in self._rl_modules - and isinstance(self._rl_modules[SHARED_ENCODER_ID], SharedEncoder) - and len(self._rl_modules) > 1 - ) + assert SHARED_ENCODER_ID in self._rl_modules and len(self._rl_modules) > 1 # Assign the encoder to a convenience attribute. self.encoder = self._rl_modules[SHARED_ENCODER_ID] - def _forward(self, batch, **kwargs): + def _forward(self, batch, forward_type, **kwargs): # Collect our policies' outputs in this dict. - outputs = {} - + fwd_out = {} # Loop through the policy nets (through the given batch's keys). for policy_id, policy_batch in batch.items(): - rl_module = self._rl_modules[policy_id] + # Feed this policy's observation into the shared encoder + encoder_output = self.encoder._forward(batch[policy_id]) + policy_batch[ENCODER_OUT] = encoder_output[ENCODER_OUT] + # Get the desired module + m = getattr(self._rl_modules[policy_id], forward_type) + # Pass the policy's embeddings through the policy net. + fwd_out[policy_id] = m(batch[policy_id], **kwargs) + return fwd_out - # Pass policy's observations through shared encoder to get the features for - # this policy. - policy_batch["encoder_embeddings"] = self.encoder._forward(batch[policy_id]) + # These methods could probably stand to be adjusted in MultiRLModule using something like this, so that subclasses that tweak _forward don't need to rewrite all of them. The prior implementation errored out because of this issue. + @override(MultiRLModule) + def _forward_inference( + self, batch: Dict[str, Any], **kwargs + ) -> Union[Dict[str, Any], Dict[ModuleID, Dict[str, Any]]]: + return self._forward(batch, "_forward_inference", **kwargs) - # Pass the policy's embeddings through the policy net. - outputs[policy_id] = rl_module._forward(batch[policy_id], **kwargs) + @override(MultiRLModule) + def _forward_exploration( + self, batch: Dict[str, Any], **kwargs + ) -> Union[Dict[str, Any], Dict[ModuleID, Dict[str, Any]]]: + return self._forward(batch, "_forward_exploration", **kwargs) - return outputs + @override(MultiRLModule) + def _forward_train( + self, batch: Dict[str, Any], **kwargs + ) -> Union[Dict[str, Any], Dict[ModuleID, Dict[str, Any]]]: + return self._forward(batch, "_forward_train", **kwargs) # __sphinx_doc_mrlm_2_end__ @@ -165,7 +190,63 @@ def setup(self): def _forward(self, batch, **kwargs): # Pass observations through the net and return outputs. - return {"encoder_embeddings": self._net(batch[Columns.OBS])} + return {ENCODER_OUT: self._net(batch[Columns.OBS])} # __sphinx_doc_encoder_end__ + + +# __sphinx_doc_ns_encoder_begin__ +class VPGIndividualEncoder(torch.nn.Module): + def __init__(self, observation_space, embedding_dim): + """ + An individual version of SharedEncoder, supporting direct comparison between + the two architectures. + """ + super().__init__() + + input_dim = observation_space.shape[0] + + # A very simple encoder network. + self._net = torch.nn.Sequential( + torch.nn.Linear(input_dim, embedding_dim), + ) + + def forward(self, batch, **kwargs): + # Pass observations through the net and return outputs. + return {ENCODER_OUT: self._net(batch[Columns.OBS])} + + +# __sphinx_doc_ns_encoder_end__ + + +# __sphinx_doc_ns_policy_begin__ +class VPGPolicyNoSharedEncoder(TorchRLModule): + """ + A VPG (vanilla pol. gradient)-style RLModule that doesn't use a shared encoder. + Facilitates experiments comparing shared and individual encoder architectures. + """ + + def setup(self): + super().setup() + + # Incoming feature dim from the encoder. + embedding_dim = self.model_config["embedding_dim"] + hidden_dim = self.model_config["hidden_dim"] + + self._pi_head = torch.nn.Sequential( + torch.nn.Linear(embedding_dim, hidden_dim), + torch.nn.ReLU(), + torch.nn.Linear(hidden_dim, self.action_space.n), + ) + self.encoder = VPGIndividualEncoder(self.observation_space, embedding_dim) + + def _forward(self, batch, **kwargs): + if ENCODER_OUT not in batch: + batch = self.encoder(batch) + embeddings = batch[ENCODER_OUT] + logits = self._pi_head(embeddings) + return {Columns.ACTION_DIST_INPUTS: logits} + + +# __sphinx_doc_ns_policy_end__ From 529f42dfb1086d49a2d83d1f42100135694a1065 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Wed, 20 Aug 2025 08:35:06 -0700 Subject: [PATCH 0783/1566] [Core] Remove dead code (#55770) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/ray_constants.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index 01b194e62696..33de100852ba 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -107,11 +107,6 @@ def env_set_by_user(key): OBJECT_STORE_MINIMUM_MEMORY_BYTES = 75 * 1024 * 1024 # Each ObjectRef currently uses about 3KB of caller memory. CALLER_MEMORY_USAGE_PER_OBJECT_REF = 3000 -# Match max_direct_call_object_size in -# src/ray/common/ray_config_def.h. -# TODO(swang): Ideally this should be pulled directly from the -# config in case the user overrides it. -DEFAULT_MAX_DIRECT_CALL_OBJECT_SIZE = 100 * 1024 # Above this number of bytes, raise an error by default unless the user sets # RAY_ALLOW_SLOW_STORAGE=1. This avoids swapping with large object stores. REQUIRE_SHM_SIZE_THRESHOLD = 10**10 From b67cb8f096fd6f49a1a05b40be4c08c2690822e6 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Wed, 20 Aug 2025 09:37:32 -0700 Subject: [PATCH 0784/1566] [Core] Expose Default Fields in the Task Json Message (#55765) This PR fixed 2 issues we found in the task event pipeline with additional tests added: 1. When converting the task events to json, add the option to include the fields with default values 2. A typo in generating the add event response when the http endpoint is not configured. --------- Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- python/ray/_private/protobuf_compat.py | 9 +- .../modules/aggregator/aggregator_agent.py | 10 +- .../aggregator/tests/test_aggregator_agent.py | 302 ++++++++++++++++-- 3 files changed, 286 insertions(+), 35 deletions(-) diff --git a/python/ray/_private/protobuf_compat.py b/python/ray/_private/protobuf_compat.py index 66971d8812d9..01256a5a82c3 100644 --- a/python/ray/_private/protobuf_compat.py +++ b/python/ray/_private/protobuf_compat.py @@ -1,6 +1,6 @@ import inspect -from google.protobuf.json_format import MessageToDict +from google.protobuf.json_format import MessageToDict, MessageToJson """ This module provides a compatibility layer for different versions of the protobuf @@ -21,7 +21,7 @@ def _protobuf_has_old_arg_name(): def rename_always_print_fields_with_no_presence(kwargs): """ - Protobuf version 5.26.0rc2 renamed argument for `MessageToDict`: + Protobuf version 5.26.0rc2 renamed argument for `MessageToDict` and `MessageToJson`: `including_default_value_fields` -> `always_print_fields_with_no_presence`. See https://github.com/protocolbuffers/protobuf/commit/06e7caba58ede0220b110b89d08f329e5f8a7537#diff-8de817c14d6a087981503c9aea38730b1b3e98f4e306db5ff9d525c7c304f234L129 # noqa: E501 @@ -45,3 +45,8 @@ def rename_always_print_fields_with_no_presence(kwargs): def message_to_dict(*args, **kwargs): kwargs = rename_always_print_fields_with_no_presence(kwargs) return MessageToDict(*args, **kwargs) + + +def message_to_json(*args, **kwargs): + kwargs = rename_always_print_fields_with_no_presence(kwargs) + return MessageToJson(*args, **kwargs) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 967016c39ce9..228685b90fbb 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -10,8 +10,7 @@ from urllib3.util import Retry from requests import Session from requests.adapters import HTTPAdapter - -from google.protobuf.json_format import MessageToJson +from ray._private.protobuf_compat import message_to_json try: import prometheus_client @@ -211,7 +210,7 @@ def _receive_events(self, request): Receives events from the request, adds them to the event buffer, """ if not self._event_processing_enabled: - return events_event_aggregator_service_pb2.AddEventReply() + return events_event_aggregator_service_pb2.AddEventsReply() # TODO(myan) #54515: Considering adding a mechanism to also send out the events # metadata (e.g. dropped task attempts) to help with event processing at the @@ -271,7 +270,10 @@ def _send_events_to_external_service(self, event_batch) -> None: # Convert protobuf objects to JSON dictionaries for HTTP POST filtered_event_batch_json = [ - json.loads(MessageToJson(event)) for event in filtered_event_batch + json.loads( + message_to_json(event, always_print_fields_with_no_presence=True) + ) + for event in filtered_event_batch ] try: diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index e658849969bc..1853029f006f 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -26,6 +26,12 @@ TaskEventsMetadata, ) from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.core.generated.events_task_definition_event_pb2 import ( + TaskDefinitionEvent, +) +from ray.core.generated.events_task_execution_event_pb2 import ( + TaskExecutionEvent, +) from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents from ray.core.generated.events_driver_job_definition_event_pb2 import ( @@ -39,6 +45,15 @@ RuntimeEnvUris, RuntimeEnvConfig, ) +from ray.core.generated.common_pb2 import ( + TaskType, + Language, + FunctionDescriptor, + PythonFunctionDescriptor, + TaskStatus, + ErrorType, + RayErrorInfo, +) from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent @@ -124,6 +139,47 @@ def test_aggregator_agent_http_target_not_enabled( assert agent._event_processing_enabled == expected_event_processing_enabled +@pytest.mark.parametrize( + "ray_start_cluster_head_with_env_vars", + [ + { + "env_vars": { + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": "", + }, + }, + ], + indirect=True, +) +def test_aggregator_agent_event_processing_disabled( + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.gcs_address, cluster.head_node.node_id + ) + + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + + request = AddEventsRequest( + events_data=RayEventsData( + events=[ + RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=fake_timestamp[0], + severity=RayEvent.Severity.INFO, + message="hello", + ), + ], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + stub.AddEvents(request) + + @_with_aggregator_port def test_aggregator_agent_receive_publish_events_normally( ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp @@ -394,45 +450,174 @@ def test_aggregator_agent_profile_events_not_exposed( assert req_json[0]["eventType"] == "TASK_DEFINITION_EVENT" -@pytest.mark.parametrize( - "ray_start_cluster_head_with_env_vars", - [ - { - "env_vars": { - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, - "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT,TASK_PROFILE_EVENT", +def _create_task_definition_event_proto(timestamp): + return RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + session_name="test_session", + task_definition_event=TaskDefinitionEvent( + task_id=b"1", + task_attempt=1, + task_type=TaskType.NORMAL_TASK, + language=Language.PYTHON, + task_func=FunctionDescriptor( + python_function_descriptor=PythonFunctionDescriptor( + module_name="test_module", + class_name="test_class", + function_name="test_function", + function_hash="test_hash", + ), + ), + task_name="test_task", + required_resources={ + "CPU": 1.0, + "GPU": 0.0, }, - }, - ], - indirect=True, -) -def test_aggregator_agent_receive_profile_events( - ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp -): - cluster = ray_start_cluster_head_with_env_vars - stub = get_event_aggregator_grpc_stub( - cluster.gcs_address, cluster.head_node.node_id + runtime_env_info=RuntimeEnvInfo( + serialized_runtime_env="{}", + ), + job_id=b"1", + parent_task_id=b"1", + placement_group_id=b"1", + ref_ids={ + "key1": b"value1", + "key2": b"value2", + }, + ), ) - httpserver.expect_request("/", method="POST").respond_with_data("", status=200) - request = AddEventsRequest( - events_data=RayEventsData( - events=[_create_profile_event_request(fake_timestamp[0])], - task_events_metadata=TaskEventsMetadata( - dropped_task_attempts=[], +def _verify_task_definition_event_json(req_json, expected_timestamp): + assert len(req_json) == 1 + + # Verify the base event fields + assert req_json[0]["eventId"] == base64.b64encode(b"1").decode() + assert req_json[0]["sourceType"] == "CORE_WORKER" + assert req_json[0]["eventType"] == "TASK_DEFINITION_EVENT" + assert req_json[0]["timestamp"] == expected_timestamp + assert req_json[0]["severity"] == "INFO" + assert ( + req_json[0]["message"] == "" + ) # Make sure the default value is included when it is not set + assert req_json[0]["sessionName"] == "test_session" + + # Verify the task definition event specific fields + assert ( + req_json[0]["taskDefinitionEvent"]["taskId"] == base64.b64encode(b"1").decode() + ) + assert req_json[0]["taskDefinitionEvent"]["taskAttempt"] == 1 + assert req_json[0]["taskDefinitionEvent"]["taskType"] == "NORMAL_TASK" + assert req_json[0]["taskDefinitionEvent"]["language"] == "PYTHON" + assert ( + req_json[0]["taskDefinitionEvent"]["taskFunc"]["pythonFunctionDescriptor"][ + "moduleName" + ] + == "test_module" + ) + assert ( + req_json[0]["taskDefinitionEvent"]["taskFunc"]["pythonFunctionDescriptor"][ + "className" + ] + == "test_class" + ) + assert ( + req_json[0]["taskDefinitionEvent"]["taskFunc"]["pythonFunctionDescriptor"][ + "functionName" + ] + == "test_function" + ) + assert ( + req_json[0]["taskDefinitionEvent"]["taskFunc"]["pythonFunctionDescriptor"][ + "functionHash" + ] + == "test_hash" + ) + assert req_json[0]["taskDefinitionEvent"]["taskName"] == "test_task" + assert req_json[0]["taskDefinitionEvent"]["requiredResources"] == { + "CPU": 1.0, + "GPU": 0.0, + } + assert ( + req_json[0]["taskDefinitionEvent"]["runtimeEnvInfo"]["serializedRuntimeEnv"] + == "{}" + ) + assert ( + req_json[0]["taskDefinitionEvent"]["jobId"] == base64.b64encode(b"1").decode() + ) + assert ( + req_json[0]["taskDefinitionEvent"]["parentTaskId"] + == base64.b64encode(b"1").decode() + ) + assert ( + req_json[0]["taskDefinitionEvent"]["placementGroupId"] + == base64.b64encode(b"1").decode() + ) + assert req_json[0]["taskDefinitionEvent"]["refIds"] == { + "key1": base64.b64encode(b"value1").decode(), + "key2": base64.b64encode(b"value2").decode(), + } + + +def _create_task_execution_event_proto(timestamp): + return RayEvent( + event_id=b"1", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_EXECUTION_EVENT, + timestamp=timestamp, + severity=RayEvent.Severity.INFO, + session_name="test_session", + task_execution_event=TaskExecutionEvent( + task_id=b"1", + task_attempt=1, + task_state={ + TaskStatus.RUNNING: timestamp, + }, + ray_error_info=RayErrorInfo( + error_type=ErrorType.TASK_EXECUTION_EXCEPTION, ), - ) + node_id=b"1", + worker_id=b"1", + worker_pid=1, + ), ) - stub.AddEvents(request) - wait_for_condition(lambda: len(httpserver.log) == 1) +def _verify_task_execution_event_json(req_json, expected_timestamp): + assert len(req_json) == 1 - req, _ = httpserver.log[0] - req_json = json.loads(req.data) + # Verify the base event fields + assert req_json[0]["eventId"] == base64.b64encode(b"1").decode() + assert req_json[0]["sourceType"] == "CORE_WORKER" + assert req_json[0]["eventType"] == "TASK_EXECUTION_EVENT" + assert req_json[0]["timestamp"] == expected_timestamp + assert req_json[0]["severity"] == "INFO" + assert ( + req_json[0]["message"] == "" + ) # Make sure the default value is included when it is not set + assert req_json[0]["sessionName"] == "test_session" - _verify_profile_event_json(req_json, fake_timestamp[1]) + # Verify the task execution event specific fields + assert ( + req_json[0]["taskExecutionEvent"]["taskId"] == base64.b64encode(b"1").decode() + ) + assert req_json[0]["taskExecutionEvent"]["taskAttempt"] == 1 + assert req_json[0]["taskExecutionEvent"]["taskState"] == { + "8": expected_timestamp, + } + assert ( + req_json[0]["taskExecutionEvent"]["rayErrorInfo"]["errorType"] + == "TASK_EXECUTION_EXCEPTION" + ) + assert ( + req_json[0]["taskExecutionEvent"]["nodeId"] == base64.b64encode(b"1").decode() + ) + assert ( + req_json[0]["taskExecutionEvent"]["workerId"] == base64.b64encode(b"1").decode() + ) + assert req_json[0]["taskExecutionEvent"]["workerPid"] == 1 def _create_profile_event_request(timestamp): @@ -497,6 +682,65 @@ def _verify_profile_event_json(req_json, expected_timestamp): assert event_entry["extraData"] == '{"cpu_usage": 0.8}' +# tuple: (create_event, verify) +EVENT_TYPES_TO_TEST = [ + pytest.param( + _create_task_definition_event_proto, + _verify_task_definition_event_json, + id="task_definition_event", + ), + pytest.param( + _create_task_execution_event_proto, + _verify_task_execution_event_json, + id="task_execution_event", + ), + pytest.param( + _create_profile_event_request, _verify_profile_event_json, id="profile_event" + ), +] + + +@pytest.mark.parametrize("create_event, verify_event", EVENT_TYPES_TO_TEST) +@pytest.mark.parametrize( + "ray_start_cluster_head_with_env_vars", + [ + { + "env_vars": { + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT,ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT,TASK_PROFILE_EVENT", + }, + }, + ], + indirect=True, +) +def test_aggregator_agent_receive_events( + create_event, + verify_event, + ray_start_cluster_head_with_env_vars, + httpserver, + fake_timestamp, +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.gcs_address, cluster.head_node.node_id + ) + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + request = AddEventsRequest( + events_data=RayEventsData( + events=[create_event(fake_timestamp[0])], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + + stub.AddEvents(request) + wait_for_condition(lambda: len(httpserver.log) == 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + verify_event(req_json, fake_timestamp[1]) + + @_with_aggregator_port def test_aggregator_agent_receive_driver_job_definition_event( ray_start_cluster_head_with_env_vars, httpserver From b7b5af7e28d2db997ab5812868395d899ee2992c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 20 Aug 2025 11:49:10 -0500 Subject: [PATCH 0785/1566] [core] Remove `core_worker_lib` dependency from `normal_task_submitter_test` (#55783) I must've missed this one earlier. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_submission/tests/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 036e4a297df1..707a4d310589 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -67,8 +67,8 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_util", - "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", + "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", From 5d2cf6a0093ebbe0b41be2e6a65268ec8094b940 Mon Sep 17 00:00:00 2001 From: Rueian Date: Wed, 20 Aug 2025 09:54:57 -0700 Subject: [PATCH 0786/1566] [core][autoscaler] let the event logger print the cluster resources with the sum of total resources on each node. (#55746) ## Why are these changes needed? Currently, the autoscaler event logger will print the number of current cluster resources by multiplying the resource_quantity in the node config and the current node count. This doesn't work if nodes have different sizes than their configs. This PR changes to print out the sum of total_resources in all current live nodes. There are no behavior changes in the INFO level logs for now. For DEBEG level logs, instead of printing `Current cluster shape`, now we print `Current cluster resources`. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/v2/event_logger.py | 48 ++++++++++++------- python/ray/autoscaler/v2/scheduler.py | 23 ++++++++- .../autoscaler/v2/tests/test_event_logger.py | 19 +------- 3 files changed, 53 insertions(+), 37 deletions(-) diff --git a/python/ray/autoscaler/v2/event_logger.py b/python/ray/autoscaler/v2/event_logger.py index 316378867e27..b4db3d2b798b 100644 --- a/python/ray/autoscaler/v2/event_logger.py +++ b/python/ray/autoscaler/v2/event_logger.py @@ -3,8 +3,6 @@ from typing import Dict, List, Optional from ray._private.event.event_logger import EventLoggerAdapter -from ray.autoscaler.v2.instance_manager.config import NodeTypeConfig -from ray.autoscaler.v2.schema import NodeType from ray.autoscaler.v2.utils import ResourceRequestUtil from ray.core.generated.autoscaler_pb2 import ( ClusterResourceConstraint, @@ -31,8 +29,7 @@ def __init__(self, logger: EventLoggerAdapter): def log_cluster_scheduling_update( self, - node_type_configs: Dict[NodeType, NodeTypeConfig], - cluster_shape: Dict[NodeType, int], + cluster_resources: Dict[str, float], launch_requests: Optional[List[LaunchRequest]] = None, terminate_requests: Optional[List[TerminationRequest]] = None, infeasible_requests: Optional[List[ResourceRequest]] = None, @@ -42,7 +39,29 @@ def log_cluster_scheduling_update( ] = None, ) -> None: """ - Log any update of the cluster scheduling state. + Log updates to the autoscaler scheduling state. + + Emits: + - info logs for node launches and terminations (counts grouped by node type). + - an info log summarizing the cluster size after a resize (CPUs/GPUs/TPUs). + - warnings describing infeasible single resource requests, infeasible gang + (placement group) requests, and infeasible cluster resource constraints. + + Args: + cluster_resources: Mapping of resource name to total resources for the + current cluster state. + launch_requests: Node launch requests issued in this scheduling step. + terminate_requests: Node termination requests issued in this scheduling + step. + infeasible_requests: Resource requests that could not be satisfied by + any available node type. + infeasible_gang_requests: Gang/placement group requests that could not + be scheduled. + infeasible_cluster_resource_constraints: Cluster-level resource + constraints that could not be satisfied. + + Returns: + None """ # Log any launch events. @@ -78,23 +97,16 @@ def log_cluster_scheduling_update( # Cluster shape changes. if launch_requests or terminate_requests: - total_resources = defaultdict(float) - - for node_type, count in cluster_shape.items(): - node_config = node_type_configs[node_type] - for resource_name, resource_quantity in node_config.resources.items(): - total_resources[resource_name] += resource_quantity * count - - num_cpus = total_resources.get("CPU", 0) + num_cpus = cluster_resources.get("CPU", 0) log_str = f"Resized to {int(num_cpus)} CPUs" - if "GPU" in total_resources: - log_str += f", {int(total_resources['GPU'])} GPUs" - if "TPU" in total_resources: - log_str += f", {int(total_resources['TPU'])} TPUs" + if "GPU" in cluster_resources: + log_str += f", {int(cluster_resources['GPU'])} GPUs" + if "TPU" in cluster_resources: + log_str += f", {int(cluster_resources['TPU'])} TPUs" self._logger.info(f"{log_str}.") - self._logger.debug(f"Current cluster shape: {dict(cluster_shape)}.") + self._logger.debug(f"Current cluster resources: {dict(cluster_resources)}.") # Log any infeasible requests. if infeasible_requests: diff --git a/python/ray/autoscaler/v2/scheduler.py b/python/ray/autoscaler/v2/scheduler.py index 641baa2c81a9..9fafab0ca7a4 100644 --- a/python/ray/autoscaler/v2/scheduler.py +++ b/python/ray/autoscaler/v2/scheduler.py @@ -825,6 +825,26 @@ def get_cluster_shape(self) -> Dict[NodeType, int]: cluster_shape[node.node_type] += 1 return cluster_shape + def get_cluster_resources(self) -> Dict[str, float]: + """ + Aggregate total cluster resources. + + Sums each node's `total_resources` across the current context, + excluding nodes marked `TO_TERMINATE`. + + Returns: + A dict mapping resource names to their summed resources. + """ + cluster_resources = defaultdict(float) + for node in self._nodes: + if node.status == SchedulingNodeStatus.TO_TERMINATE: + # Skip the nodes that are to be terminated. + continue + + for key, value in node.total_resources.items(): + cluster_resources[key] += value + return cluster_resources + def get_idle_timeout_s(self) -> Optional[float]: return self._idle_timeout_s @@ -949,8 +969,7 @@ def schedule(self, request: SchedulingRequest) -> SchedulingReply: infeasible_requests=infeasible_requests, infeasible_gang_requests=infeasible_gang_requests, infeasible_cluster_resource_constraints=infeasible_constraints, - cluster_shape=ctx.get_cluster_shape(), - node_type_configs=ctx.get_node_type_configs(), + cluster_resources=ctx.get_cluster_resources(), ) except Exception: logger.exception("Failed to emit event logs.") diff --git a/python/ray/autoscaler/v2/tests/test_event_logger.py b/python/ray/autoscaler/v2/tests/test_event_logger.py index da127b1a2be0..1f7a339aa903 100644 --- a/python/ray/autoscaler/v2/tests/test_event_logger.py +++ b/python/ray/autoscaler/v2/tests/test_event_logger.py @@ -5,7 +5,6 @@ import pytest from ray.autoscaler.v2.event_logger import AutoscalerEventLogger -from ray.autoscaler.v2.instance_manager.config import NodeTypeConfig from ray.autoscaler.v2.tests.util import MockEventLogger from ray.autoscaler.v2.utils import ResourceRequestUtil from ray.core.generated.autoscaler_pb2 import ( @@ -83,21 +82,7 @@ def test_log_scheduling_updates(): ) ) ], - cluster_shape={"type-1": 1, "type-2": 2}, - node_type_configs={ - "type-1": NodeTypeConfig( - name="type-1", - max_worker_nodes=10, - min_worker_nodes=1, - resources={"CPU": 1, "GPU": 1}, - ), - "type-2": NodeTypeConfig( - name="type-2", - max_worker_nodes=10, - min_worker_nodes=1, - resources={"CPU": 2, "GPU": 2, "TPU": 1}, - ), - }, + cluster_resources={"CPU": 5, "GPU": 5, "TPU": 2}, ) assert mock_logger.get_logs("info") == [ @@ -117,7 +102,7 @@ def test_log_scheduling_updates(): assert mock_logger.get_logs("error") == [] assert mock_logger.get_logs("debug") == [ - "Current cluster shape: {'type-1': 1, 'type-2': 2}." + "Current cluster resources: {'CPU': 5, 'GPU': 5, 'TPU': 2}." ] From a15dbb1ced7f37e9b46a9a8641d2a1ce3c6c9599 Mon Sep 17 00:00:00 2001 From: Anmol Singh Date: Wed, 20 Aug 2025 22:30:21 +0530 Subject: [PATCH 0787/1566] Default dashboard usability improvements (#55620) ## Why are these changes needed? Right now the Ray Default Grafana dashboard has usability issues that are relatively easy to address with some basic restructuring + improved naming. Doc that explains the current issues, proposed changes + has a bunch of screenshot previews: https://docs.google.com/document/d/1aZ4wXmiA2uhpiY4GBu4QPLjgAJunwnerld7UVxP5QMU/ This PR introduces all the required code changes for the proposed restructuring + panel renaming. ## New layout screenshots image image image image image image image image ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: anmol Co-authored-by: anmol Signed-off-by: Douglas Strodtman --- .../dashboards/default_dashboard_panels.py | 463 ++++++++++-------- python/ray/tests/test_metrics_head.py | 15 +- 2 files changed, 270 insertions(+), 208 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py index 00cfc8194ac8..72d43ccbd8b5 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py @@ -3,6 +3,7 @@ from ray.dashboard.modules.metrics.dashboards.common import ( DashboardConfig, Panel, + Row, Target, ) @@ -30,11 +31,86 @@ def max_plus_pending(max_resource, pending_resource): # !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # IMPORTANT: Please keep this in sync with Metrics.tsx and ray-metrics.rst # !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! -DEFAULT_GRAFANA_PANELS = [ +OVERVIEW_AND_HEALTH_PANELS = [ + Panel( + id=24, + title="Node Count", + description='Note: not impacted by "Instance" variable.\n\nA total number of active failed, and pending nodes from the cluster. \n\nACTIVE: A node is alive and available.\n\nFAILED: A node is dead and not available. The node is considered dead when the raylet process on the node is terminated. The node will get into the failed state if it cannot be provided (e.g., there\'s no available node from the cloud provider) or failed to setup (e.g., setup_commands have errors). \n\nPending: A node is being started by the Ray cluster launcher. The node is unavailable now because it is being provisioned and initialized.', + unit="nodes", + targets=[ + Target( + expr="sum(autoscaler_active_nodes{{{global_filters}}}) by (NodeType)", + legend="Active Nodes: {{NodeType}}", + ), + Target( + expr="sum(autoscaler_recently_failed_nodes{{{global_filters}}}) by (NodeType)", + legend="Failed Nodes: {{NodeType}}", + ), + Target( + expr="sum(autoscaler_pending_nodes{{{global_filters}}}) by (NodeType)", + legend="Pending Nodes: {{NodeType}}", + ), + ], + ), + Panel( + id=41, + title="Cluster Utilization", + description="Aggregated utilization of all physical resources (CPU, GPU, memory, disk, or etc.) across the cluster.", + unit="%", + targets=[ + # CPU + Target( + expr='avg(ray_node_cpu_utilization{{instance=~"$Instance",{global_filters}}})', + legend="CPU (physical)", + ), + # GPU + Target( + expr='sum(ray_node_gpus_utilization{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_gpus_available{{instance=~"$Instance",{global_filters}}}) or vector(0))', + legend="GPU (physical)", + ), + # Memory + Target( + expr='sum(ray_node_mem_used{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_mem_total{{instance=~"$Instance",{global_filters}}})) * 100', + legend="Memory (RAM)", + ), + # GRAM + Target( + expr='sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}})) * 100', + legend="GRAM", + ), + # Object Store + Target( + expr='sum(ray_object_store_memory{{instance=~"$Instance",{global_filters}}}) / on() sum(ray_resources{{Name="object_store_memory",instance=~"$Instance",{global_filters}}}) * 100', + legend="Object Store Memory", + ), + # Disk + Target( + expr='sum(ray_node_disk_usage{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_disk_free{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance",{global_filters}}})) * 100', + legend="Disk", + ), + ], + fill=0, + stack=False, + ), + Panel( + id=44, + title="Ray OOM Kills (Tasks and Actors)", + description="The number of tasks and actors killed by the Ray Out of Memory killer due to high memory pressure. Metrics are broken down by IP and the name. https://docs.ray.io/en/master/ray-core/scheduling/ray-oom-prevention.html.", + unit="failures", + targets=[ + Target( + expr='sum(ray_memory_manager_worker_eviction_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (Name, instance, RayNodeType)', + legend="OOM Killed: {{Name}}, {{instance}} ({{RayNodeType}})", + ), + ], + ), +] + +RAY_TASKS_ACTORS_PLACEMENT_GROUPS_PANELS = [ Panel( id=26, - title="Scheduler Task State", - description="Current number of tasks in a particular state.\n\nState: the task state, as described by rpc::TaskState proto in common.proto. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", + title="All Tasks by State", + description="Current count of tasks, grouped by scheduler state (e.g., pending, running, finished).\n\nState: the task state, as described by rpc::TaskStatus proto in common.proto. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", unit="tasks", targets=[ Target( @@ -51,8 +127,8 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=35, - title="Requested Live Tasks by Name", - description="Current number of (live) tasks with a particular name. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", + title="Active Tasks by Name", + description="Current count of active tasks (i.e. pending or running; not finished), grouped by task name. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", unit="tasks", targets=[ Target( @@ -70,7 +146,7 @@ def max_plus_pending(max_resource, pending_resource): Panel( id=38, title="Running Tasks by Name", - description="Current number of (running) tasks with a particular name. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", + description="Current count of tasks that are currently executing, grouped by task name. Task resubmissions due to failures or object reconstruction are shown with (retry) in the label.", unit="tasks", targets=[ Target( @@ -87,8 +163,8 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=33, - title="Scheduler Actor State", - description='Note: not impacted by "Instance" variable.\n\nCurrent number of actors in a particular state.\n\nState: the actor state, as described by rpc::ActorTableData proto in gcs.proto.', + title="All Actors by State", + description='Note: not impacted by "Instance" variable.\n\nCurrent count of actors, grouped by lifecycle state (e.g., alive, restarting, dead/terminated).\n\nState: the actor state, as described by rpc::ActorTableData proto in gcs.proto.', unit="actors", targets=[ Target( @@ -99,8 +175,8 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=42, - title="Live Actor State", - description="Current number of alive actors in a particular state.\n\nState: IDLE, RUNNING_TASK, RUNNING_IN_RAY_GET, RUNNING_IN_RAY_WAIT", + title="Active Actors by State", + description="Current count of alive actors (i.e. not dead/terminated), grouped by state.\n\nState: the actor state, as described by rpc::ActorTableData proto in gcs.proto.", unit="actors", targets=[ Target( @@ -111,8 +187,8 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=36, - title="Live Actors by Name", - description="Current number of alive actors with a particular name.", + title="Active Actors by Name", + description="Current count of alive actors, grouped by actor name.", unit="actors", targets=[ Target( @@ -121,9 +197,24 @@ def max_plus_pending(max_resource, pending_resource): ) ], ), + Panel( + id=40, + title="All Placement Groups by State", + description='Note: not impacted by "Instance" variable.\n\nCurrent count of placement groups, grouped by state.\n\nState: the placement group state, as described by the rpc::PlacementGroupTableData proto in gcs.proto.', + unit="placement groups", + targets=[ + Target( + expr="sum(ray_placement_groups{{{global_filters}}}) by (State)", + legend="{{State}}", + ) + ], + ), +] + +RAY_RESOURCES_PANELS = [ Panel( id=27, - title="Scheduler CPUs (logical slots)", + title="Logical CPUs used", description="Logical CPU usage of Ray. The dotted line indicates the total number of CPUs. The logical CPU is allocated by `num_cpus` arguments from tasks and actors. PENDING means the number of CPUs that will be available when new nodes are up after the autoscaler scales up.\n\nNOTE: Ray's logical CPU is different from physical CPU usage. Ray's logical CPU is allocated by `num_cpus` arguments.", unit="cores", targets=[ @@ -143,25 +234,9 @@ def max_plus_pending(max_resource, pending_resource): ), ], ), - Panel( - id=29, - title="Object Store Memory", - description="Object store memory usage by location. The dotted line indicates the object store memory capacity.\n\nLocation: where the memory was allocated, which is MMAP_SHM or MMAP_DISK to indicate memory-mapped page, SPILLED to indicate spillage to disk, and WORKER_HEAP for objects small enough to be inlined in worker memory. Refer to metric_defs.cc for more information.", - unit="bytes", - targets=[ - Target( - expr='sum(ray_object_store_memory{{instance=~"$Instance",{global_filters}}}) by (Location)', - legend="{{Location}}", - ), - Target( - expr='sum(ray_resources{{Name="object_store_memory",instance=~"$Instance",{global_filters}}})', - legend="MAX", - ), - ], - ), Panel( id=28, - title="Scheduler GPUs (logical slots)", + title="Logical GPUs used", description="Logical GPU usage of Ray. The dotted line indicates the total number of GPUs. The logical GPU is allocated by `num_gpus` arguments from tasks and actors. PENDING means the number of GPUs that will be available when new nodes are up after the autoscaler scales up.", unit="GPUs", targets=[ @@ -182,78 +257,121 @@ def max_plus_pending(max_resource, pending_resource): ], ), Panel( - id=40, - title="Scheduler Placement Groups", - description='Note: not impacted by "Instance" variable.\n\nCurrent number of placement groups in a particular state.\n\nState: the placement group state, as described by the rpc::PlacementGroupTable proto in gcs.proto.', - unit="placement groups", + id=29, + title="Object Store Memory", + description="Object store memory usage by location. The dotted line indicates the object store memory capacity.\n\nLocation: where the memory was allocated, which is MMAP_SHM or MMAP_DISK to indicate memory-mapped page, SPILLED to indicate spillage to disk, and WORKER_HEAP for objects small enough to be inlined in worker memory. Refer to metric_defs.cc for more information.", + unit="bytes", targets=[ Target( - expr="sum(ray_placement_groups{{{global_filters}}}) by (State)", - legend="{{State}}", - ) + expr='sum(ray_object_store_memory{{instance=~"$Instance",{global_filters}}}) by (Location)', + legend="{{Location}}", + ), + Target( + expr='sum(ray_resources{{Name="object_store_memory",instance=~"$Instance",{global_filters}}})', + legend="MAX", + ), ], ), +] + +NODE_HARDWARE_UTILIZATION_BY_RAY_COMPONENT_PANELS = [ Panel( - id=2, - title="Node CPU (hardware utilization)", - description="", + id=37, + title="Node CPU by Component", + description="The physical (hardware) CPU usage across the cluster, broken down by component. This reports the summed CPU usage per Ray component. Ray components consist of system components (e.g., raylet, gcs, dashboard, or agent) and the process (that contains method names) names of running tasks/actors.", unit="cores", targets=[ Target( - expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType",{global_filters}}} / 100) by (instance, RayNodeType)', - legend="CPU Usage: {{instance}} ({{RayNodeType}})", + # ray_component_cpu_percentage returns a percentage that can be > 100. It means that it uses more than 1 CPU. + expr='sum(ray_component_cpu_percentage{{instance=~"$Instance",{global_filters}}}) by (Component) / 100', + legend="{{Component}}", ), Target( - expr='sum(ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', + expr='sum(ray_node_cpu_count{{instance=~"$Instance",{global_filters}}})', legend="MAX", ), ], ), Panel( - id=8, - title="Node GPU (hardware utilization)", - description="Node's physical (hardware) GPU usage. The dotted line means the total number of hardware GPUs from the cluster. ", - unit="GPUs", + id=34, + title="Node Memory by Component", + description="The physical (hardware) memory usage across the cluster, broken down by component. This reports the summed RSS-SHM per Ray component, which corresponds to an approximate memory usage per proc. Ray components consist of system components (e.g., raylet, gcs, dashboard, or agent) and the process (that contains method names) names of running tasks/actors.", + unit="bytes", targets=[ Target( - expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} / 100) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', - legend="GPU Usage: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='(sum(ray_component_rss_mb{{instance=~"$Instance",{global_filters}}} * 1024 * 1024) by (Component)) - (sum(ray_component_mem_shared_bytes{{instance=~"$Instance",{global_filters}}}) by (Component))', + legend="{{Component}}", ), Target( - expr='sum(ray_node_gpus_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', + expr='sum(ray_node_mem_shared_bytes{{instance=~"$Instance",{global_filters}}})', + legend="shared_memory", + ), + Target( + expr='sum(ray_node_mem_total{{instance=~"$Instance",{global_filters}}})', legend="MAX", ), ], ), Panel( - id=6, - title="Node Disk", - description="Node's physical (hardware) disk usage. The dotted line means the total amount of disk space from the cluster.\n\nNOTE: When Ray is deployed within a container, this shows the disk usage from the host machine. ", + id=45, + title="Node GPU by Component", + description="The physical (hardware) GPU usage across the cluster, broken down by component. This reports the summed GPU usage per Ray component.", + unit="GPUs", + targets=[ + Target( + expr="sum(ray_component_gpu_percentage{{{global_filters}}} / 100) by (Component)", + legend="{{Component}}", + ), + ], + ), + Panel( + id=46, + title="Node GPU Memory by Component", + description="The physical (hardware) GPU memory usage across the cluster, broken down by component. This reports the summed GPU memory usage per Ray component.", unit="bytes", targets=[ Target( - expr='sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', - legend="Disk Used: {{instance}} ({{RayNodeType}})", + expr="sum(ray_component_gpu_memory_mb{{{global_filters}}} * 1024 * 1024) by (Component)", + legend="{{Component}}", ), Target( - expr='sum(ray_node_disk_free{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', + expr='(sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}})) * 1024 * 1024', legend="MAX", ), ], ), +] + +NODE_HARDWARE_UTILIZATION_PANELS = [ Panel( - id=32, - title="Node Disk IO Speed", - description="Disk IO per node.", - unit="Bps", + id=2, + title="Node CPU utilization", + description="", + unit="cores", targets=[ Target( - expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', - legend="Write: {{instance}} ({{RayNodeType}})", + expr='sum(ray_node_cpu_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType",{global_filters}}} / 100) by (instance, RayNodeType)', + legend="CPU Usage: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', - legend="Read: {{instance}} ({{RayNodeType}})", + expr='sum(ray_node_cpu_count{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', + legend="MAX", + ), + ], + ), + Panel( + id=8, + title="Node GPU utilization", + description="Node's physical (hardware) GPU usage. The dotted line means the total number of hardware GPUs from the cluster. ", + unit="GPUs", + targets=[ + Target( + expr='sum(ray_node_gpus_utilization{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} / 100) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="GPU Usage: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", + ), + Target( + expr='sum(ray_node_gpus_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', + legend="MAX", ), ], ), @@ -275,7 +393,7 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=48, - title="Node Memory Percentage (heap + object store)", + title="Node Memory % (heap + object store)", description="The percentage of physical (hardware) memory usage for each node.", unit="%", targets=[ @@ -288,73 +406,75 @@ def max_plus_pending(max_resource, pending_resource): stack=False, ), Panel( - id=44, - title="Node Out of Memory Failures by Name", - description="The number of tasks and actors killed by the Ray Out of Memory killer due to high memory pressure. Metrics are broken down by IP and the name. https://docs.ray.io/en/master/ray-core/scheduling/ray-oom-prevention.html.", - unit="failures", + id=18, + title="Node GPU Memory (GRAM)", + description="The physical (hardware) GPU memory usage for each node. The dotted line means the total amount of GPU memory from the cluster.", + unit="bytes", targets=[ Target( - expr='sum(ray_memory_manager_worker_eviction_total{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (Name, instance, RayNodeType)', - legend="OOM Killed: {{Name}}, {{instance}} ({{RayNodeType}})", + expr='sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * 1024 * 1024) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', + legend="Used GRAM: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", + ), + Target( + expr='(sum(ray_node_gram_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})) * 1024 * 1024', + legend="MAX", ), ], ), Panel( - id=34, - title="Node Memory by Component", - description="The physical (hardware) memory usage across the cluster, broken down by component. This reports the summed RSS-SHM per Ray component, which corresponds to an approximate memory usage per proc. Ray components consist of system components (e.g., raylet, gcs, dashboard, or agent) and the process (that contains method names) names of running tasks/actors.", + id=6, + title="Node Disk", + description="Node's physical (hardware) disk usage. The dotted line means the total amount of disk space from the cluster.\n\nNOTE: When Ray is deployed within a container, this shows the disk usage from the host machine. ", unit="bytes", targets=[ Target( - expr='(sum(ray_component_rss_mb{{instance=~"$Instance",{global_filters}}} * 1e6) by (Component)) - (sum(ray_component_mem_shared_bytes{{instance=~"$Instance",{global_filters}}}) by (Component))', - legend="{{Component}}", - ), - Target( - expr='sum(ray_node_mem_shared_bytes{{instance=~"$Instance",{global_filters}}})', - legend="shared_memory", + expr='sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Disk Used: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_mem_total{{instance=~"$Instance",{global_filters}}})', + expr='sum(ray_node_disk_free{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})', legend="MAX", ), ], ), Panel( - id=37, - title="Node CPU by Component", - description="The physical (hardware) CPU usage across the cluster, broken down by component. This reports the summed CPU usage per Ray component. Ray components consist of system components (e.g., raylet, gcs, dashboard, or agent) and the process (that contains method names) names of running tasks/actors.", - unit="cores", + id=32, + title="Node Disk IO Speed", + description="Disk IO per node.", + unit="Bps", targets=[ Target( - # ray_component_cpu_percentage returns a percentage that can be > 100. It means that it uses more than 1 CPU. - expr='sum(ray_component_cpu_percentage{{instance=~"$Instance",{global_filters}}}) by (Component) / 100', - legend="{{Component}}", + expr='sum(ray_node_disk_io_write_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Write: {{instance}} ({{RayNodeType}})", ), Target( - expr='sum(ray_node_cpu_count{{instance=~"$Instance",{global_filters}}})', - legend="MAX", + expr='sum(ray_node_disk_io_read_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Read: {{instance}} ({{RayNodeType}})", ), ], ), Panel( - id=18, - title="Node GPU Memory (GRAM)", - description="The physical (hardware) GPU memory usage for each node. The dotted line means the total amount of GPU memory from the cluster.", - unit="bytes", + id=20, + title="Node Network", + description="Network speed per node", + unit="Bps", targets=[ Target( - expr='sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}} * 1024 * 1024) by (instance, RayNodeType, GpuIndex, GpuDeviceName)', - legend="Used GRAM: {{instance}} ({{RayNodeType}}), gpu.{{GpuIndex}}, {{GpuDeviceName}}", + expr='sum(ray_node_network_receive_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Recv: {{instance}} ({{RayNodeType}})", ), Target( - expr='(sum(ray_node_gram_available{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}})) * 1024 * 1024', - legend="MAX", + expr='sum(ray_node_network_send_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', + legend="Send: {{instance}} ({{RayNodeType}})", ), ], ), +] + +NODE_TPU_UTILIZATION_PANELS = [ Panel( id=50, - title="Node TPU Tensorcore Utilization (Percentage)", + title="Node TPU Tensorcore Utilization %", description="Percentage of tensorcore utilization for the TPUs on this node. Computed by dividing the number of tensorcore operations by the maximum supported number of operations during the sample period.", unit="%", targets=[ @@ -366,7 +486,7 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=51, - title="Node TPU High Bandwidth Memory Utilization (Percentage)", + title="Node TPU High Bandwidth Memory Utilization %", description="Percentage of bandwidth memory utilization for the TPUs on this node. Computed by dividing the memory bandwidth used by the maximum supported memory bandwidth limit during the sample period.", unit="%", targets=[ @@ -378,7 +498,7 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=52, - title="Node TPU Duty Cycle (Percentage)", + title="Node TPU Duty Cycle %", description="Percentage of time over the sample period during which the TPU is actively processing.", unit="%", targets=[ @@ -404,116 +524,51 @@ def max_plus_pending(max_resource, pending_resource): ), ], ), - Panel( - id=20, - title="Node Network", - description="Network speed per node", - unit="Bps", - targets=[ - Target( - expr='sum(ray_node_network_receive_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', - legend="Recv: {{instance}} ({{RayNodeType}})", - ), - Target( - expr='sum(ray_node_network_send_speed{{instance=~"$Instance", RayNodeType=~"$RayNodeType", {global_filters}}}) by (instance, RayNodeType)', - legend="Send: {{instance}} ({{RayNodeType}})", - ), - ], +] + +DEFAULT_GRAFANA_ROWS = [ + Row( + title="Overview and Health", + id=1001, + panels=OVERVIEW_AND_HEALTH_PANELS, + collapsed=False, ), - Panel( - id=24, - title="Node Count", - description='Note: not impacted by "Instance" variable.\n\nA total number of active failed, and pending nodes from the cluster. \n\nACTIVE: A node is alive and available.\n\nFAILED: A node is dead and not available. The node is considered dead when the raylet process on the node is terminated. The node will get into the failed state if it cannot be provided (e.g., there\'s no available node from the cloud provider) or failed to setup (e.g., setup_commands have errors). \n\nPending: A node is being started by the Ray cluster launcher. The node is unavailable now because it is being provisioned and initialized.', - unit="nodes", - targets=[ - Target( - expr="sum(autoscaler_active_nodes{{{global_filters}}}) by (NodeType)", - legend="Active Nodes: {{NodeType}}", - ), - Target( - expr="sum(autoscaler_recently_failed_nodes{{{global_filters}}}) by (NodeType)", - legend="Failed Nodes: {{NodeType}}", - ), - Target( - expr="sum(autoscaler_pending_nodes{{{global_filters}}}) by (NodeType)", - legend="Pending Nodes: {{NodeType}}", - ), - ], + Row( + title="Ray Tasks, Actors and Placement Groups", + id=1002, + panels=RAY_TASKS_ACTORS_PLACEMENT_GROUPS_PANELS, + collapsed=False, ), - Panel( - id=41, - title="Cluster Utilization", - description="Aggregated utilization of all physical resources (CPU, GPU, memory, disk, or etc.) across the cluster.", - unit="%", - targets=[ - # CPU - Target( - expr='avg(ray_node_cpu_utilization{{instance=~"$Instance",{global_filters}}})', - legend="CPU (physical)", - ), - # GPU - Target( - expr='sum(ray_node_gpus_utilization{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_gpus_available{{instance=~"$Instance",{global_filters}}}) or vector(0))', - legend="GPU (physical)", - ), - # Memory - Target( - expr='sum(ray_node_mem_used{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_mem_total{{instance=~"$Instance",{global_filters}}})) * 100', - legend="Memory (RAM)", - ), - # GRAM - Target( - expr='sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}})) * 100', - legend="GRAM", - ), - # Object Store - Target( - expr='sum(ray_object_store_memory{{instance=~"$Instance",{global_filters}}}) / on() sum(ray_resources{{Name="object_store_memory",instance=~"$Instance",{global_filters}}}) * 100', - legend="Object Store Memory", - ), - # Disk - Target( - expr='sum(ray_node_disk_usage{{instance=~"$Instance",{global_filters}}}) / on() (sum(ray_node_disk_free{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_disk_usage{{instance=~"$Instance",{global_filters}}})) * 100', - legend="Disk", - ), - ], - fill=0, - stack=False, + Row( + title="Ray Resources", + id=1003, + panels=RAY_RESOURCES_PANELS, + collapsed=False, ), - Panel( - id=45, - title="Node GPU by Component", - description="The physical (hardware) GPU usage across the cluster, broken down by component. This reports the summed GPU usage per Ray component.", - unit="GPUs", - targets=[ - Target( - expr="sum(ray_component_gpu_percentage{{{global_filters}}} / 100) by (Component)", - legend="{{Component}}", - ), - ], + Row( + title="Hardware Utilization by Ray Component", + id=1004, + panels=NODE_HARDWARE_UTILIZATION_BY_RAY_COMPONENT_PANELS, + collapsed=False, ), - Panel( - id=46, - title="Node GPU Memory by Component", - description="The physical (hardware) GPU memory usage across the cluster, broken down by component. This reports the summed GPU memory usage per Ray component.", - unit="bytes", - targets=[ - Target( - expr="sum(ray_component_gpu_memory_mb{{{global_filters}}}) by (Component)", - legend="{{Component}}", - ), - Target( - expr='(sum(ray_node_gram_available{{instance=~"$Instance",{global_filters}}}) + sum(ray_node_gram_used{{instance=~"$Instance",{global_filters}}}))*1024*1024', - legend="MAX", - ), - ], + Row( + title="Hardware Utilization by Node", + id=1005, + panels=NODE_HARDWARE_UTILIZATION_PANELS, + collapsed=False, + ), + Row( + title="TPU Utilization by Node", + id=1006, + panels=NODE_TPU_UTILIZATION_PANELS, + collapsed=True, ), ] - ids = [] -for panel in DEFAULT_GRAFANA_PANELS: - ids.append(panel.id) +for row in DEFAULT_GRAFANA_ROWS: + ids.append(row.id) + ids.extend(panel.id for panel in row.panels) assert len(ids) == len( set(ids) ), f"Duplicated id found. Use unique id for each panel. {ids}" @@ -521,7 +576,7 @@ def max_plus_pending(max_resource, pending_resource): default_dashboard_config = DashboardConfig( name="DEFAULT", default_uid="rayDefaultDashboard", - panels=DEFAULT_GRAFANA_PANELS, + rows=DEFAULT_GRAFANA_ROWS, standard_global_filters=[ 'SessionName=~"$SessionName"', 'ray_io_cluster=~"$Cluster"', diff --git a/python/ray/tests/test_metrics_head.py b/python/ray/tests/test_metrics_head.py index 6fdcb3306404..0a7f6133ab99 100644 --- a/python/ray/tests/test_metrics_head.py +++ b/python/ray/tests/test_metrics_head.py @@ -7,7 +7,7 @@ import tempfile from ray.dashboard.modules.metrics.dashboards.default_dashboard_panels import ( - DEFAULT_GRAFANA_PANELS, + DEFAULT_GRAFANA_ROWS, ) from ray.dashboard.modules.metrics.dashboards.serve_dashboard_panels import ( SERVE_GRAFANA_PANELS, @@ -132,6 +132,9 @@ def test_metrics_folder_with_dashboard_override( contents = json.loads(f.read()) assert contents["uid"] == uid for panel in contents["panels"]: + if panel["type"] == "row": + # Row panels don't have targets + continue for target in panel["targets"]: # Check for standard_global_filters assert 'SessionName=~"$SessionName"' in target["expr"] @@ -154,6 +157,9 @@ def test_metrics_folder_with_dashboard_override( found_max = False found_max_pending = False for panel in contents["panels"]: + if panel["type"] == "row": + # Row panels don't have series overrides + continue for override in panel.get("seriesOverrides", []): if override.get("alias") == "MAX": assert override["fill"] == 0 @@ -210,9 +216,10 @@ def test_metrics_folder_when_dashboard_disabled(): def test_default_dashboard_utilizes_global_filters(): - for panel in DEFAULT_GRAFANA_PANELS: - for target in panel.targets: - assert "{global_filters}" in target.expr + for row in DEFAULT_GRAFANA_ROWS: + for panel in row.panels: + for target in panel.targets: + assert "{global_filters}" in target.expr def test_serve_dashboard_utilizes_global_filters(): From 2dc64807c322c263dfef47156d652d07e2b43126 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 20 Aug 2025 11:18:57 -0700 Subject: [PATCH 0788/1566] [Data] Make `ray.get` patch less brittle in `test_sort` (#55768) ## Why are these changes needed? `test_push_based_shuffle_reduce_stage_scheduling` patches `ray.get` with a function that takes a single `refs` argument. This is problematic because if Ray Data calls `ray.get` with any other arguments (e.g., `timeout`), then Python errors and complains that argument is unexpected. > TypeError: ray_get_override() got an unexpected keyword argument 'timeout' To address this issue, this PR allows the patched `ray.get` to accept additional arguments. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_sort.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/data/tests/test_sort.py b/python/ray/data/tests/test_sort.py index c97207e01f4b..7467b86c9f02 100644 --- a/python/ray/data/tests/test_sort.py +++ b/python/ray/data/tests/test_sort.py @@ -558,9 +558,9 @@ def options(**task_options): def patch_ray_get(callback): original_ray_get = ray.get - def ray_get_override(object_refs): + def ray_get_override(object_refs, *args, **kwargs): callback(object_refs) - return original_ray_get(object_refs) + return original_ray_get(object_refs, *args, **kwargs) ray.get = ray_get_override return original_ray_get From 64ac2e227077777fca67db48371e052ea6ff4032 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 20 Aug 2025 11:33:33 -0700 Subject: [PATCH 0789/1566] [core] Kill Retrying to get node with node ID log (#55785) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_client/global_state_accessor.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index f52e24f05967..64d55d5876c1 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -429,7 +429,7 @@ ray::Status GlobalStateAccessor::GetNode(const std::string &node_id_hex_str, ". The node registration may not be complete yet before the timeout." + " Try increase the RAY_raylet_start_wait_time_s config."); } - RAY_LOG(INFO) << "Retrying to get node with node ID " << node_id_hex_str; + RAY_LOG(DEBUG) << "Retrying to get node with node ID " << node_id_hex_str; // Some of the information may not be in GCS yet, so wait a little bit. std::this_thread::sleep_for(std::chrono::seconds(1)); } From 91d23be7688a8bfbb14cfb65d409edaa97aba6ef Mon Sep 17 00:00:00 2001 From: Tianyi Date: Thu, 21 Aug 2025 02:56:31 +0800 Subject: [PATCH 0790/1566] [core] enable -Wshadow for all c++ targets (#53194) Signed-off-by: tianyi-ge Signed-off-by: Douglas Strodtman --- bazel/ray.bzl | 1 + bazel/ray_deps_setup.bzl | 6 + cpp/include/ray/api/actor_creator.h | 4 +- cpp/include/ray/api/actor_task_caller.h | 4 +- cpp/include/ray/api/ray_runtime.h | 22 +- cpp/include/ray/api/task_caller.h | 4 +- cpp/src/ray/runtime/abstract_ray_runtime.cc | 12 +- .../runtime/task/local_mode_task_submitter.cc | 2 +- .../ray/runtime/task/native_task_submitter.cc | 20 +- cpp/src/ray/test/cluster/cluster_mode_test.cc | 16 +- cpp/src/ray/test/cluster/counter.cc | 6 +- src/ray/common/BUILD.bazel | 1 + src/ray/common/memory_monitor.cc | 6 +- src/ray/common/ray_syncer/ray_syncer.cc | 24 +- .../scheduling/resource_instance_set.cc | 4 +- src/ray/common/scheduling/scheduling_ids.h | 10 +- src/ray/common/status.h | 9 +- src/ray/common/task/task_spec.h | 26 +-- src/ray/common/task/task_util.h | 18 +- src/ray/core_worker/common.h | 40 ++-- src/ray/core_worker/core_worker.cc | 33 +-- src/ray/core_worker/core_worker_process.cc | 6 +- .../experimental_mutable_object_provider.cc | 4 +- .../java/io_ray_runtime_RayNativeRuntime.cc | 120 +++++----- .../io_ray_runtime_gcs_GlobalStateAccessor.cc | 16 +- ...io_ray_runtime_object_NativeObjectStore.cc | 40 ++-- ...io_ray_runtime_task_NativeTaskSubmitter.cc | 58 ++--- .../core_worker/object_recovery_manager.cc | 4 +- src/ray/core_worker/reference_count.cc | 138 ++++++------ src/ray/core_worker/reference_count.h | 36 +-- .../task_execution/actor_scheduling_queue.cc | 20 +- .../concurrency_group_manager.cc | 6 +- .../out_of_order_actor_scheduling_queue.cc | 13 +- .../task_execution/task_receiver.cc | 48 ++-- src/ray/core_worker/task_manager.cc | 148 ++++++------ src/ray/core_worker/task_manager.h | 56 ++--- .../task_submission/actor_task_submitter.cc | 210 +++++++++--------- .../task_submission/actor_task_submitter.h | 70 +++--- .../task_submission/dependency_resolver.cc | 4 +- .../task_submission/dependency_resolver.h | 4 +- .../task_submission/normal_task_submitter.cc | 25 ++- .../out_of_order_actor_submit_queue.cc | 3 +- .../out_of_order_actor_submit_queue.h | 3 +- .../sequential_actor_submit_queue.cc | 3 +- .../sequential_actor_submit_queue.h | 5 +- .../tests/actor_task_submitter_test.cc | 4 +- .../out_of_order_actor_submit_queue_test.cc | 2 +- .../tests/task_event_buffer_test.cc | 16 +- src/ray/gcs/gcs_client/accessor.cc | 37 +-- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 43 ++-- src/ray/gcs/gcs_server/gcs_actor_manager.h | 6 +- .../gcs_server/gcs_health_check_manager.cc | 17 +- src/ray/gcs/gcs_server/gcs_job_manager.cc | 18 +- .../gcs/gcs_server/gcs_placement_group_mgr.cc | 33 +-- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- src/ray/gcs/gcs_server/gcs_table_storage.cc | 8 +- .../tests/gcs_actor_manager_test.cc | 9 +- .../gcs_server/tests/gcs_server_test_util.h | 4 +- .../gcs/store_client/redis_store_client.cc | 14 +- src/ray/gcs/store_client/redis_store_client.h | 4 +- src/ray/ipc/client_connection.cc | 4 +- src/ray/object_manager/object_buffer_pool.cc | 47 ++-- src/ray/object_manager/object_buffer_pool.h | 38 ++-- src/ray/object_manager/object_manager.cc | 3 +- .../ownership_object_directory.cc | 12 +- src/ray/object_manager/plasma/common.h | 90 ++++---- .../plasma/create_request_queue.cc | 39 ++-- .../plasma/create_request_queue.h | 24 +- .../plasma/get_request_queue.cc | 40 ++-- .../object_manager/plasma/get_request_queue.h | 10 +- .../plasma/obj_lifecycle_mgr.cc | 26 +-- src/ray/object_manager/plasma/object_store.cc | 18 +- src/ray/object_manager/plasma/plasma.cc | 2 +- .../object_manager/plasma/plasma_allocator.cc | 12 +- .../object_manager/plasma/stats_collector.cc | 8 +- src/ray/object_manager/plasma/store.cc | 29 +-- .../plasma/tests/eviction_policy_test.cc | 16 +- .../plasma/tests/fallback_allocator_test.cc | 8 +- .../plasma/tests/obj_lifecycle_mgr_test.cc | 12 +- .../plasma/tests/object_store_test.cc | 44 ++-- .../plasma/tests/stats_collector_test.cc | 39 ++-- src/ray/object_manager/pull_manager.cc | 16 +- src/ray/object_manager/pull_manager.h | 26 +-- .../tests/get_request_queue_test.cc | 14 +- src/ray/pubsub/publisher.cc | 10 +- src/ray/pubsub/publisher.h | 12 +- src/ray/pubsub/subscriber.cc | 6 +- src/ray/raylet/dependency_manager.cc | 24 +- src/ray/raylet/dependency_manager.h | 38 ++-- src/ray/raylet/local_object_manager.cc | 28 +-- src/ray/raylet/local_object_manager.h | 16 +- src/ray/raylet/local_task_manager.cc | 117 +++++----- src/ray/raylet/main.cc | 16 +- src/ray/raylet/node_manager.cc | 40 ++-- src/ray/raylet/raylet.cc | 4 +- src/ray/raylet/runtime_env_agent_client.cc | 7 +- .../raylet/scheduling/cluster_task_manager.cc | 38 ++-- src/ray/raylet/scheduling/internal.h | 26 +-- .../affinity_with_bundle_scheduling_policy.cc | 6 +- .../policy/bundle_scheduling_policy.cc | 22 +- .../policy/composite_scheduling_policy.cc | 8 +- .../policy/composite_scheduling_policy.h | 4 +- .../policy/hybrid_scheduling_policy.cc | 38 ++-- .../policy/node_affinity_scheduling_policy.cc | 12 +- .../policy/node_label_scheduling_policy.cc | 4 +- .../policy/random_scheduling_policy.cc | 6 +- .../scheduling/policy/scheduling_options.h | 62 +++--- .../policy/spread_scheduling_policy.cc | 10 +- .../scheduling/scheduler_resource_reporter.cc | 2 +- src/ray/raylet/wait_manager.cc | 26 +-- src/ray/raylet/wait_manager.h | 18 +- .../worker_killing_policy_group_by_owner.h | 4 +- src/ray/raylet/worker_pool.cc | 100 ++++----- src/ray/raylet/worker_pool.h | 49 ++-- src/ray/rpc/worker/core_worker_client.cc | 2 +- src/ray/rpc/worker/core_worker_client.h | 10 +- src/ray/rpc/worker/core_worker_client_pool.cc | 10 +- src/ray/rpc/worker/core_worker_client_pool.h | 12 +- thirdparty/patches/abseil-cpp-shadow.patch | 12 + thirdparty/patches/msgpack-shadow.patch | 12 + 120 files changed, 1485 insertions(+), 1430 deletions(-) create mode 100644 thirdparty/patches/abseil-cpp-shadow.patch create mode 100644 thirdparty/patches/msgpack-shadow.patch diff --git a/bazel/ray.bzl b/bazel/ray.bzl index 9ef8b4a9c07b..2c273128fd74 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -16,6 +16,7 @@ COPTS_WITHOUT_LOG = select({ "-Wconversion-null", "-Wno-misleading-indentation", "-Wimplicit-fallthrough", + "-Wshadow", ], }) + select({ "//:clang-cl": [ diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index 5ece022cdb29..13a6a96c162e 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -255,6 +255,10 @@ def ray_deps_setup(): urls = [ "https://github.com/abseil/abseil-cpp/archive/refs/tags/20230802.1.tar.gz", ], + patches = [ + # TODO (israbbani): #55430 Separate the compiler flags and remove this patch + "@io_ray//thirdparty/patches:abseil-cpp-shadow.patch", + ], ) # OpenCensus depends on jupp0r/prometheus-cpp @@ -357,6 +361,8 @@ def ray_deps_setup(): sha256 = "83c37c9ad926bbee68d564d9f53c6cbb057c1f755c264043ddd87d89e36d15bb", patches = [ "@io_ray//thirdparty/patches:msgpack-windows-iovec.patch", + # TODO (israbbani): #55430 Separate the compiler flags and remove this patch + "@io_ray//thirdparty/patches:msgpack-shadow.patch", ], ) diff --git a/cpp/include/ray/api/actor_creator.h b/cpp/include/ray/api/actor_creator.h index 0c59b007355c..973068e36766 100644 --- a/cpp/include/ray/api/actor_creator.h +++ b/cpp/include/ray/api/actor_creator.h @@ -92,14 +92,14 @@ ActorHandle, is_x_lang_v> ActorCreator::Remote(Args &&...a if constexpr (is_x_lang_v) { using ArgsTuple = std::tuple; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); } else { StaticCheck(); using ArgsTuple = RemoveReference_t>; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); diff --git a/cpp/include/ray/api/actor_task_caller.h b/cpp/include/ray/api/actor_task_caller.h index 9824234357d8..d0c22fabeb01 100644 --- a/cpp/include/ray/api/actor_task_caller.h +++ b/cpp/include/ray/api/actor_task_caller.h @@ -69,14 +69,14 @@ ObjectRef> ActorTaskCaller::Remote( if constexpr (is_x_lang_v) { using ArgsTuple = std::tuple; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); } else { StaticCheck(); using ArgsTuple = RemoveReference_t>>; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); diff --git a/cpp/include/ray/api/ray_runtime.h b/cpp/include/ray/api/ray_runtime.h index 8a8bf35e83ce..a56c95f148d7 100644 --- a/cpp/include/ray/api/ray_runtime.h +++ b/cpp/include/ray/api/ray_runtime.h @@ -32,24 +32,24 @@ struct RemoteFunctionHolder { RemoteFunctionHolder(const std::string &module_name, const std::string &function_name, const std::string &class_name = "", - LangType lang_type = LangType::CPP) { - this->module_name = module_name; - this->function_name = function_name; - this->class_name = class_name; - this->lang_type = lang_type; - } + LangType lang_type = LangType::CPP) + : module_name_(module_name), + function_name_(function_name), + class_name_(class_name), + lang_type_(lang_type) {} + RemoteFunctionHolder(std::string func_name) { if (func_name.empty()) { throw RayException( "Function not found. Please use RAY_REMOTE to register this function."); } - function_name = std::move(func_name); + function_name_ = std::move(func_name); } - std::string module_name; - std::string function_name; - std::string class_name; - LangType lang_type = LangType::CPP; + std::string module_name_; + std::string function_name_; + std::string class_name_; + LangType lang_type_ = LangType::CPP; }; class RayRuntime { diff --git a/cpp/include/ray/api/task_caller.h b/cpp/include/ray/api/task_caller.h index ca61c49c594f..c3b24f6dbe8c 100644 --- a/cpp/include/ray/api/task_caller.h +++ b/cpp/include/ray/api/task_caller.h @@ -83,14 +83,14 @@ ObjectRef> TaskCaller::Remote( if constexpr (is_x_lang_v) { using ArgsTuple = std::tuple; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); } else { StaticCheck(); using ArgsTuple = RemoveReference_t>; - Arguments::WrapArgs(remote_function_holder_.lang_type, + Arguments::WrapArgs(remote_function_holder_.lang_type_, &args_, std::make_index_sequence{}, std::forward(args)...); diff --git a/cpp/src/ray/runtime/abstract_ray_runtime.cc b/cpp/src/ray/runtime/abstract_ray_runtime.cc index 50b3f9f9073d..0f6ec2e24b4a 100644 --- a/cpp/src/ray/runtime/abstract_ray_runtime.cc +++ b/cpp/src/ray/runtime/abstract_ray_runtime.cc @@ -172,7 +172,7 @@ InvocationSpec BuildInvocationSpec1(TaskType task_type, invocation_spec.remote_function_holder = remote_function_holder; invocation_spec.actor_id = actor; invocation_spec.args = - TransformArgs(args, remote_function_holder.lang_type != LangType::CPP); + TransformArgs(args, remote_function_holder.lang_type_ != LangType::CPP); return invocation_spec; } @@ -199,23 +199,23 @@ std::string AbstractRayRuntime::CallActor( std::vector &args, const CallOptions &call_options) { InvocationSpec invocation_spec{}; - if (remote_function_holder.lang_type == LangType::PYTHON) { + if (remote_function_holder.lang_type_ == LangType::PYTHON) { const auto native_actor_handle = CoreWorkerProcess::GetCoreWorker().GetActorHandle( ray::ActorID::FromBinary(actor)); auto function_descriptor = native_actor_handle->ActorCreationTaskFunctionDescriptor(); auto typed_descriptor = function_descriptor->As(); RemoteFunctionHolder func_holder = remote_function_holder; - func_holder.module_name = typed_descriptor->ModuleName(); - func_holder.class_name = typed_descriptor->ClassName(); + func_holder.module_name_ = typed_descriptor->ModuleName(); + func_holder.class_name_ = typed_descriptor->ClassName(); invocation_spec = BuildInvocationSpec1( TaskType::ACTOR_TASK, func_holder, args, ActorID::FromBinary(actor)); - } else if (remote_function_holder.lang_type == LangType::JAVA) { + } else if (remote_function_holder.lang_type_ == LangType::JAVA) { const auto native_actor_handle = CoreWorkerProcess::GetCoreWorker().GetActorHandle( ray::ActorID::FromBinary(actor)); auto function_descriptor = native_actor_handle->ActorCreationTaskFunctionDescriptor(); auto typed_descriptor = function_descriptor->As(); RemoteFunctionHolder func_holder = remote_function_holder; - func_holder.class_name = typed_descriptor->ClassName(); + func_holder.class_name_ = typed_descriptor->ClassName(); invocation_spec = BuildInvocationSpec1( TaskType::ACTOR_TASK, func_holder, args, ActorID::FromBinary(actor)); } else { diff --git a/cpp/src/ray/runtime/task/local_mode_task_submitter.cc b/cpp/src/ray/runtime/task/local_mode_task_submitter.cc index 90cba57d573b..6c91f2516b19 100644 --- a/cpp/src/ray/runtime/task/local_mode_task_submitter.cc +++ b/cpp/src/ray/runtime/task/local_mode_task_submitter.cc @@ -37,7 +37,7 @@ ObjectID LocalModeTaskSubmitter::Submit(InvocationSpec &invocation, /// Maybe some information of TaskSpecification are not reasonable or invalid. /// We will enhance this after implement the cluster mode. auto functionDescriptor = FunctionDescriptorBuilder::BuildCpp( - invocation.remote_function_holder.function_name); + invocation.remote_function_holder.function_name_); rpc::Address address; std::unordered_map required_resources; std::unordered_map required_placement_resources; diff --git a/cpp/src/ray/runtime/task/native_task_submitter.cc b/cpp/src/ray/runtime/task/native_task_submitter.cc index 8983eb857ae4..b2e035cc415e 100644 --- a/cpp/src/ray/runtime/task/native_task_submitter.cc +++ b/cpp/src/ray/runtime/task/native_task_submitter.cc @@ -26,23 +26,23 @@ using ray::core::CoreWorkerProcess; using ray::core::TaskOptions; RayFunction BuildRayFunction(InvocationSpec &invocation) { - if (invocation.remote_function_holder.lang_type == LangType::CPP) { + if (invocation.remote_function_holder.lang_type_ == LangType::CPP) { auto function_descriptor = FunctionDescriptorBuilder::BuildCpp( - invocation.remote_function_holder.function_name, + invocation.remote_function_holder.function_name_, "", - invocation.remote_function_holder.class_name); + invocation.remote_function_holder.class_name_); return RayFunction(ray::Language::CPP, function_descriptor); - } else if (invocation.remote_function_holder.lang_type == LangType::PYTHON) { + } else if (invocation.remote_function_holder.lang_type_ == LangType::PYTHON) { auto function_descriptor = FunctionDescriptorBuilder::BuildPython( - invocation.remote_function_holder.module_name, - invocation.remote_function_holder.class_name, - invocation.remote_function_holder.function_name, + invocation.remote_function_holder.module_name_, + invocation.remote_function_holder.class_name_, + invocation.remote_function_holder.function_name_, ""); return RayFunction(ray::Language::PYTHON, function_descriptor); - } else if (invocation.remote_function_holder.lang_type == LangType::JAVA) { + } else if (invocation.remote_function_holder.lang_type_ == LangType::JAVA) { auto function_descriptor = FunctionDescriptorBuilder::BuildJava( - invocation.remote_function_holder.class_name, - invocation.remote_function_holder.function_name, + invocation.remote_function_holder.class_name_, + invocation.remote_function_holder.function_name_, ""); return RayFunction(ray::Language::JAVA, function_descriptor); } else { diff --git a/cpp/src/ray/test/cluster/cluster_mode_test.cc b/cpp/src/ray/test/cluster/cluster_mode_test.cc index 2e7d2ff9a31a..3bbd0809c393 100644 --- a/cpp/src/ray/test/cluster/cluster_mode_test.cc +++ b/cpp/src/ray/test/cluster/cluster_mode_test.cc @@ -586,20 +586,20 @@ TEST(RayClusterModeTest, GetNamespaceApiTest) { class Pip { public: - std::vector packages; - bool pip_check = false; + std::vector packages_; + bool pip_check_ = false; Pip() = default; Pip(const std::vector &packages, bool pip_check) - : packages(packages), pip_check(pip_check) {} + : packages_(packages), pip_check_(pip_check) {} }; void to_json(nlohmann::json &j, const Pip &pip) { - j = nlohmann::json{{"packages", pip.packages}, {"pip_check", pip.pip_check}}; + j = nlohmann::json{{"packages", pip.packages_}, {"pip_check", pip.pip_check_}}; }; void from_json(const nlohmann::json &j, Pip &pip) { - j.at("packages").get_to(pip.packages); - j.at("pip_check").get_to(pip.pip_check); + j.at("packages").get_to(pip.packages_); + j.at("pip_check").get_to(pip.pip_check_); }; TEST(RayClusterModeTest, RuntimeEnvApiTest) { @@ -618,8 +618,8 @@ TEST(RayClusterModeTest, RuntimeEnvApiTest) { // Deserialize auto runtime_env_2 = ray::RuntimeEnv::Deserialize(serialized_runtime_env); auto pip2 = runtime_env_2.Get("pip"); - EXPECT_EQ(pip2.packages, pip.packages); - EXPECT_EQ(pip2.pip_check, pip.pip_check); + EXPECT_EQ(pip2.packages_, pip.packages_); + EXPECT_EQ(pip2.pip_check_, pip.pip_check_); auto working_dir2 = runtime_env_2.Get("working_dir"); EXPECT_EQ(working_dir2, working_dir); diff --git a/cpp/src/ray/test/cluster/counter.cc b/cpp/src/ray/test/cluster/counter.cc index eb77917189d9..7c994d3e0d99 100644 --- a/cpp/src/ray/test/cluster/counter.cc +++ b/cpp/src/ray/test/cluster/counter.cc @@ -84,10 +84,10 @@ bool Counter::CheckRestartInActorCreationTask() { return is_restared; } bool Counter::CheckRestartInActorTask() { return ray::WasCurrentActorRestarted(); } ray::ActorHandle Counter::CreateChildActor(std::string actor_name) { - auto child_actor = + auto new_child_actor = ray::Actor(RAY_FUNC(Counter::FactoryCreate)).SetName(actor_name).Remote(); - child_actor.Task(&Counter::GetCount).Remote().Get(); - return child_actor; + new_child_actor.Task(&Counter::GetCount).Remote().Get(); + return new_child_actor; } std::string Counter::GetNamespaceInActor() { return ray::GetNamespace(); } diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 7e95589b69ad..992728a11bc7 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -282,6 +282,7 @@ ray_cc_library( srcs = ["status.cc"], hdrs = ["status.h"], deps = [ + ":macros", ":source_location", "//src/ray/util:macros", "//src/ray/util:visibility", diff --git a/src/ray/common/memory_monitor.cc b/src/ray/common/memory_monitor.cc index 98a33da0cd84..2a07d57b3e52 100644 --- a/src/ray/common/memory_monitor.cc +++ b/src/ray/common/memory_monitor.cc @@ -51,10 +51,10 @@ MemoryMonitor::MemoryMonitor(instrumented_io_context &io_service, << " system memory), total system memory bytes: " << total_memory_bytes; runner_->RunFnPeriodically( [this] { - auto [used_memory_bytes, total_memory_bytes] = GetMemoryBytes(); + auto [used_mem_bytes, total_mem_bytes] = GetMemoryBytes(); MemorySnapshot system_memory; - system_memory.used_bytes = used_memory_bytes; - system_memory.total_bytes = total_memory_bytes; + system_memory.used_bytes = used_mem_bytes; + system_memory.total_bytes = total_mem_bytes; bool is_usage_above_threshold = IsUsageAboveThreshold(system_memory, computed_threshold_bytes_); diff --git a/src/ray/common/ray_syncer/ray_syncer.cc b/src/ray/common/ray_syncer/ray_syncer.cc index 8fadae0f9957..7991fdcd2c92 100644 --- a/src/ray/common/ray_syncer/ray_syncer.cc +++ b/src/ray/common/ray_syncer/ray_syncer.cc @@ -86,11 +86,11 @@ void RaySyncer::Connect(const std::string &node_id, /* message_processor */ [this](auto msg) { BroadcastMessage(std::move(msg)); }, /* cleanup_cb */ - [this, channel](RaySyncerBidiReactor *reactor, bool restart) { - const std::string &node_id = reactor->GetRemoteNodeID(); - auto iter = sync_reactors_.find(node_id); + [this, channel](RaySyncerBidiReactor *bidi_reactor, bool restart) { + const std::string &remote_node_id = bidi_reactor->GetRemoteNodeID(); + auto iter = sync_reactors_.find(remote_node_id); if (iter != sync_reactors_.end()) { - if (iter->second != reactor) { + if (iter->second != bidi_reactor) { // The client is already reconnected. return; } @@ -99,14 +99,14 @@ void RaySyncer::Connect(const std::string &node_id, if (restart) { execute_after( io_context_, - [this, node_id, channel]() { - RAY_LOG(INFO).WithField(NodeID::FromBinary(node_id)) + [this, remote_node_id, channel]() { + RAY_LOG(INFO).WithField(NodeID::FromBinary(remote_node_id)) << "Connection is broken. Reconnect to node."; - Connect(node_id, channel); + Connect(remote_node_id, channel); }, /* delay_microseconds = */ std::chrono::milliseconds(2000)); } else { - node_state_->RemoveNode(node_id); + node_state_->RemoveNode(remote_node_id); } }, /* stub */ std::move(stub)); @@ -124,7 +124,7 @@ void RaySyncer::Connect(RaySyncerBidiReactor *reactor) { boost::asio::dispatch( io_context_.get_executor(), std::packaged_task([this, reactor]() { - auto [_, is_new] = sync_reactors_.emplace(reactor->GetRemoteNodeID(), reactor); + auto is_new = sync_reactors_.emplace(reactor->GetRemoteNodeID(), reactor).second; RAY_CHECK(is_new) << NodeID::FromBinary(reactor->GetRemoteNodeID()) << " has already registered."; // Send the view for new connections. @@ -223,13 +223,13 @@ ServerBidiReactor *RaySyncerService::StartSync(grpc::CallbackServerContext *cont syncer_.GetLocalNodeID(), /*message_processor=*/[this](auto msg) mutable { syncer_.BroadcastMessage(msg); }, /*cleanup_cb=*/ - [this](RaySyncerBidiReactor *reactor, bool reconnect) mutable { + [this](RaySyncerBidiReactor *bidi_reactor, bool reconnect) mutable { // No need to reconnect for server side. RAY_CHECK(!reconnect); - const auto &node_id = reactor->GetRemoteNodeID(); + const auto &node_id = bidi_reactor->GetRemoteNodeID(); auto iter = syncer_.sync_reactors_.find(node_id); if (iter != syncer_.sync_reactors_.end()) { - if (iter->second != reactor) { + if (iter->second != bidi_reactor) { // There is a new connection to the node, no need to clean up. // This can happen when there is transient network error and the client // reconnects. The sequence of events are: diff --git a/src/ray/common/scheduling/resource_instance_set.cc b/src/ray/common/scheduling/resource_instance_set.cc index 4765dd7c5c5e..ed07a13fe24b 100644 --- a/src/ray/common/scheduling/resource_instance_set.cc +++ b/src/ray/common/scheduling/resource_instance_set.cc @@ -202,8 +202,8 @@ NodeResourceInstanceSet::TryAllocate(const ResourceSet &resource_demands) { allocations[resource_id] = std::move(*allocation); } else { // Allocation failed. Restore partially allocated resources. - for (const auto &[resource_id, allocation] : allocations) { - Free(resource_id, allocation); + for (const auto &[id, allocated] : allocations) { + Free(id, allocated); } return std::nullopt; } diff --git a/src/ray/common/scheduling/scheduling_ids.h b/src/ray/common/scheduling/scheduling_ids.h index 1e8ead6ba118..e3b067bc53b8 100644 --- a/src/ray/common/scheduling/scheduling_ids.h +++ b/src/ray/common/scheduling/scheduling_ids.h @@ -143,15 +143,15 @@ inline std::ostream &operator<<( /// the singleton map with PredefinedResources. template <> inline StringIdMap &BaseSchedulingID::GetMap() { - static std::unique_ptr map{[]() { - std::unique_ptr map(new StringIdMap()); - map->InsertOrDie(kCPU_ResourceLabel, CPU) + static std::unique_ptr singleton_map{[]() { + std::unique_ptr map_ptr(new StringIdMap()); + map_ptr->InsertOrDie(kCPU_ResourceLabel, CPU) .InsertOrDie(kGPU_ResourceLabel, GPU) .InsertOrDie(kObjectStoreMemory_ResourceLabel, OBJECT_STORE_MEM) .InsertOrDie(kMemory_ResourceLabel, MEM); - return map; + return map_ptr; }()}; - return *map; + return *singleton_map; } namespace scheduling { diff --git a/src/ray/common/status.h b/src/ray/common/status.h index 3b9ba8a6cc43..1230b449c072 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -33,6 +33,7 @@ #include #include "absl/strings/str_cat.h" +#include "ray/common/macros.h" #include "ray/common/source_location.h" #include "ray/util/macros.h" #include "ray/util/visibility.h" @@ -52,10 +53,10 @@ class error_code; // If the status is not OK, CHECK-fail immediately, appending the status to the // logged message. The message can be appended with <<. -#define RAY_CHECK_OK(s) \ - if (const ::ray::Status &_status_ = (s); true) \ - RAY_CHECK_WITH_DISPLAY(_status_.ok(), #s) \ - << "Status not OK: " << _status_.ToString() << " " +#define RAY_CHECK_OK(s) \ + if (const ::ray::Status & RAY_UNIQUE_VARIABLE(_s) = (s); true) \ + RAY_CHECK_WITH_DISPLAY(RAY_UNIQUE_VARIABLE(_s).ok(), #s) \ + << "Status not OK: " << RAY_UNIQUE_VARIABLE(_s).ToString() << " " namespace ray { diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index a076309d4b07..d23fd5bff286 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -81,12 +81,12 @@ struct SchedulingClassDescriptor { LabelSelector ls, FunctionDescriptor fd, int64_t d, - rpc::SchedulingStrategy scheduling_strategy) + rpc::SchedulingStrategy sched_strategy) : resource_set(std::move(rs)), label_selector(std::move(ls)), function_descriptor(std::move(fd)), depth(d), - scheduling_strategy(std::move(scheduling_strategy)) {} + scheduling_strategy(std::move(sched_strategy)) {} ResourceSet resource_set; LabelSelector label_selector; FunctionDescriptor function_descriptor; @@ -155,17 +155,17 @@ namespace std { template <> struct hash { size_t operator()(const ray::rpc::LabelOperator &label_operator) const { - size_t hash = std::hash()(label_operator.label_operator_case()); + size_t hash_value = std::hash()(label_operator.label_operator_case()); if (label_operator.has_label_in()) { for (const auto &value : label_operator.label_in().values()) { - hash ^= std::hash()(value); + hash_value ^= std::hash()(value); } } else if (label_operator.has_label_not_in()) { for (const auto &value : label_operator.label_not_in().values()) { - hash ^= std::hash()(value); + hash_value ^= std::hash()(value); } } - return hash; + return hash_value; } }; @@ -239,25 +239,25 @@ namespace ray { /// a executing thread pool. struct ConcurrencyGroup { // Name of this group. - std::string name; + std::string name_; // Max concurrency of this group. - uint32_t max_concurrency; + uint32_t max_concurrency_; // Function descriptors of the actor methods in this group. - std::vector function_descriptors; + std::vector function_descriptors_; ConcurrencyGroup() = default; ConcurrencyGroup(const std::string &name, uint32_t max_concurrency, const std::vector &fds) - : name(name), max_concurrency(max_concurrency), function_descriptors(fds) {} + : name_(name), max_concurrency_(max_concurrency), function_descriptors_(fds) {} - std::string GetName() const { return name; } + std::string GetName() const { return name_; } - uint32_t GetMaxConcurrency() const { return max_concurrency; } + uint32_t GetMaxConcurrency() const { return max_concurrency_; } std::vector GetFunctionDescriptors() const { - return function_descriptors; + return function_descriptors_; } }; diff --git a/src/ray/common/task/task_util.h b/src/ray/common/task/task_util.h index 1665f9e96298..5779cd2ca3f2 100644 --- a/src/ray/common/task/task_util.h +++ b/src/ray/common/task/task_util.h @@ -30,17 +30,17 @@ namespace ray { /// Stores the task failure reason. struct TaskFailureEntry { /// The task failure details. - rpc::RayErrorInfo ray_error_info; + rpc::RayErrorInfo ray_error_info_; /// The creation time of this entry. - std::chrono::steady_clock::time_point creation_time; + std::chrono::steady_clock::time_point creation_time_; /// Whether this task should be retried. - bool should_retry; + bool should_retry_; TaskFailureEntry(const rpc::RayErrorInfo &ray_error_info, bool should_retry) - : ray_error_info(ray_error_info), - creation_time(std::chrono::steady_clock::now()), - should_retry(should_retry) {} + : ray_error_info_(ray_error_info), + creation_time_(std::chrono::steady_clock::now()), + should_retry_(should_retry) {} }; /// Argument of a task. @@ -271,10 +271,10 @@ class TaskSpecBuilder { actor_creation_spec->set_serialized_actor_handle(serialized_actor_handle); for (const auto &concurrency_group : concurrency_groups) { rpc::ConcurrencyGroup *group = actor_creation_spec->add_concurrency_groups(); - group->set_name(concurrency_group.name); - group->set_max_concurrency(concurrency_group.max_concurrency); + group->set_name(concurrency_group.name_); + group->set_max_concurrency(concurrency_group.max_concurrency_); // Fill into function descriptor. - for (auto &item : concurrency_group.function_descriptors) { + for (auto &item : concurrency_group.function_descriptors_) { rpc::FunctionDescriptor *fd = group->add_function_descriptors(); *fd = item->GetMessage(); } diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index de2a41013a7a..2cbdbf5bdafa 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -223,35 +223,35 @@ struct PlacementGroupCreationOptions { NodeID soft_target_node_id = NodeID::Nil(), std::vector> bundle_label_selector = {}) - : name(std::move(name)), - strategy(strategy), - bundles(std::move(bundles)), - is_detached(is_detached_p), - max_cpu_fraction_per_node(max_cpu_fraction_per_node), - soft_target_node_id(soft_target_node_id), - bundle_label_selector(std::move(bundle_label_selector)) { - RAY_CHECK(soft_target_node_id.IsNil() || strategy == PlacementStrategy::STRICT_PACK) + : name_(std::move(name)), + strategy_(strategy), + bundles_(std::move(bundles)), + is_detached_(is_detached_p), + max_cpu_fraction_per_node_(max_cpu_fraction_per_node), + soft_target_node_id_(soft_target_node_id), + bundle_label_selector_(std::move(bundle_label_selector)) { + RAY_CHECK(soft_target_node_id_.IsNil() || strategy_ == PlacementStrategy::STRICT_PACK) << "soft_target_node_id only works with STRICT_PACK now"; } /// The name of the placement group. - const std::string name; + const std::string name_; /// The strategy to place the bundle in Placement Group. - const PlacementStrategy strategy = rpc::PACK; + const PlacementStrategy strategy_ = rpc::PACK; /// The resource bundles in this placement group. - const std::vector> bundles; + const std::vector> bundles_; /// Whether to keep the placement group persistent after its creator dead. - const bool is_detached = false; + const bool is_detached_ = false; /// The maximum fraction of CPU cores this placement group can take up on each node. - const double max_cpu_fraction_per_node; + const double max_cpu_fraction_per_node_; /// ID of the target node where bundles should be placed /// iff the target node has enough available resources and alive. /// Otherwise, the bundles can be placed elsewhere. /// Nil means there is no target node. /// This only applies to STRICT_PACK pg. - const NodeID soft_target_node_id; + const NodeID soft_target_node_id_; /// The label selectors to apply per-bundle in this placement group. - const std::vector> bundle_label_selector; + const std::vector> bundle_label_selector_; }; class ObjectLocation { @@ -311,13 +311,13 @@ namespace std { template <> struct hash { size_t operator()(const ray::rpc::LineageReconstructionTask &task) const { - size_t hash = std::hash()(task.name()); - hash ^= std::hash()(task.status()); + size_t hash_value = std::hash()(task.name()); + hash_value ^= std::hash()(task.status()); for (const auto &label : task.labels()) { - hash ^= std::hash()(label.first); - hash ^= std::hash()(label.second); + hash_value ^= std::hash()(label.first); + hash_value ^= std::hash()(label.second); } - return hash; + return hash_value; } }; } // namespace std diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 83ac7000178b..eef949f69a09 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1338,7 +1338,7 @@ Status CoreWorker::ExperimentalRegisterMutableObjectReaderRemote( conn->RegisterMutableObjectReader( req, [&promise, num_replied, num_requests, addr]( - const Status &status, const rpc::RegisterMutableObjectReaderReply &reply) { + const Status &status, const rpc::RegisterMutableObjectReaderReply &) { RAY_CHECK_OK(status); *num_replied += 1; if (*num_replied == num_requests) { @@ -1853,8 +1853,8 @@ json CoreWorker::OverrideRuntimeEnv(const json &child, std::shared_ptr CoreWorker::OverrideTaskOrActorRuntimeEnvInfo( const std::string &serialized_runtime_env_info) const { - auto factory = [this](const std::string &serialized_runtime_env_info) { - return OverrideTaskOrActorRuntimeEnvInfoImpl(serialized_runtime_env_info); + auto factory = [this](const std::string &runtime_env_info_str) { + return OverrideTaskOrActorRuntimeEnvInfoImpl(runtime_env_info_str); }; return runtime_env_json_serialization_cache_.GetOrCreate(serialized_runtime_env_info, std::move(factory)); @@ -2303,7 +2303,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, Status CoreWorker::CreatePlacementGroup( const PlacementGroupCreationOptions &placement_group_creation_options, PlacementGroupID *return_placement_group_id) { - const auto &bundles = placement_group_creation_options.bundles; + const auto &bundles = placement_group_creation_options.bundles_; for (const auto &bundle : bundles) { for (const auto &resource : bundle) { if (resource.first == kBundle_ResourceLabel) { @@ -2318,16 +2318,16 @@ Status CoreWorker::CreatePlacementGroup( PlacementGroupSpecBuilder builder; builder.SetPlacementGroupSpec( placement_group_id, - placement_group_creation_options.name, - placement_group_creation_options.bundles, - placement_group_creation_options.strategy, - placement_group_creation_options.is_detached, - placement_group_creation_options.max_cpu_fraction_per_node, - placement_group_creation_options.soft_target_node_id, + placement_group_creation_options.name_, + placement_group_creation_options.bundles_, + placement_group_creation_options.strategy_, + placement_group_creation_options.is_detached_, + placement_group_creation_options.max_cpu_fraction_per_node_, + placement_group_creation_options.soft_target_node_id_, worker_context_->GetCurrentJobID(), worker_context_->GetCurrentActorID(), worker_context_->CurrentActorDetached(), - placement_group_creation_options.bundle_label_selector); + placement_group_creation_options.bundle_label_selector_); PlacementGroupSpecification placement_group_spec = builder.Build(); *return_placement_group_id = placement_group_id; RAY_LOG(INFO).WithField(placement_group_id) @@ -3132,12 +3132,12 @@ bool CoreWorker::PinExistingReturnObject(const ObjectID &return_id, owner_address, {return_id}, generator_id, - [return_id, pinned_return_object](const Status &status, + [return_id, pinned_return_object](const Status &pin_object_status, const rpc::PinObjectIDsReply &reply) { // RPC to the local raylet should never fail. - if (!status.ok()) { + if (!pin_object_status.ok()) { RAY_LOG(ERROR) << "Request to local raylet to pin object failed: " - << status.ToString(); + << pin_object_status.ToString(); return; } if (!reply.successes(0)) { @@ -3586,8 +3586,9 @@ void CoreWorker::HandleWaitForActorRefDeleted( // Send a response to trigger cleaning up the actor state once the handle is // no longer in scope. - auto respond = [send_reply_callback](const ActorID &actor_id) { - RAY_LOG(DEBUG).WithField(actor_id) << "Replying to HandleWaitForActorRefDeleted"; + auto respond = [send_reply_callback](const ActorID &respond_actor_id) { + RAY_LOG(DEBUG).WithField(respond_actor_id) + << "Replying to HandleWaitForActorRefDeleted"; send_reply_callback(Status::OK(), nullptr, nullptr); }; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index e8218c180a9e..db60abd62293 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -382,9 +382,9 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // from the middle of user operations. core_worker->io_service_.post( [this, obj]() { - auto core_worker = GetCoreWorker(); - if (core_worker->options_.unhandled_exception_handler != nullptr) { - core_worker->options_.unhandled_exception_handler(obj); + auto this_core_worker = GetCoreWorker(); + if (this_core_worker->options_.unhandled_exception_handler != nullptr) { + this_core_worker->options_.unhandled_exception_handler(obj); } }, "CoreWorker.HandleException"); diff --git a/src/ray/core_worker/experimental_mutable_object_provider.cc b/src/ray/core_worker/experimental_mutable_object_provider.cc index ff5d2addac85..b97b19347278 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.cc +++ b/src/ray/core_worker/experimental_mutable_object_provider.cc @@ -242,9 +242,9 @@ void MutableObjectProvider::PollWriterClosure( object->GetData()->Data(), object->GetMetadata()->Data(), [this, &io_context, writer_object_id, remote_readers, num_replied]( - const Status &status, const rpc::PushMutableObjectReply &reply) { + const Status &push_object_status, const rpc::PushMutableObjectReply &reply) { *num_replied += 1; - if (!status.ok()) { + if (!push_object_status.ok()) { RAY_LOG(ERROR) << "Failed to transfer object to a remote node for an object id " << writer_object_id << ". It can cause hang."; diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc index 739bc6e5f63e..7584536ead71 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc @@ -69,18 +69,18 @@ jobject ToJavaArgs(JNIEnv *env, jobject args_array_list = NativeVectorToJavaList>( env, args, - [check_results, &i](JNIEnv *env, + [check_results, &i](JNIEnv *inner_env, const std::shared_ptr &native_object) { if (*(check_results + (i++))) { // If the type of this argument is ByteBuffer, we create a // DirectByteBuffer here To avoid data copy. // TODO(kfstorm): Check native_object->GetMetadata() == "RAW" - jobject obj = env->NewDirectByteBuffer(native_object->GetData()->Data(), - native_object->GetData()->Size()); + jobject obj = inner_env->NewDirectByteBuffer( + native_object->GetData()->Data(), native_object->GetData()->Size()); RAY_CHECK(obj); return obj; } - return NativeRayObjectToJavaNativeRayObject(env, native_object); + return NativeRayObjectToJavaNativeRayObject(inner_env, native_object); }); env->ReleaseBooleanArrayElements(java_check_results, check_results, JNI_ABORT); return args_array_list; @@ -152,7 +152,7 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, // errors for Java. *is_retryable_error = false; - JNIEnv *env = GetJNIEnv(); + JNIEnv *inner_env = GetJNIEnv(); RAY_CHECK(java_task_executor); // convert RayFunction @@ -168,53 +168,56 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, } if (!ray_function_array_list) { ray_function_array_list = - NativeRayFunctionDescriptorToJavaStringList(env, function_descriptor); + NativeRayFunctionDescriptorToJavaStringList(inner_env, function_descriptor); fd_vector.emplace_back(function_descriptor, ray_function_array_list); } // convert args // TODO(kfstorm): Avoid copying binary data from Java to C++ jbooleanArray java_check_results = static_cast( - env->CallObjectMethod(java_task_executor, - java_task_executor_parse_function_arguments, - ray_function_array_list)); - RAY_CHECK_JAVA_EXCEPTION(env); - jobject args_array_list = ToJavaArgs(env, java_check_results, args); + inner_env->CallObjectMethod(java_task_executor, + java_task_executor_parse_function_arguments, + ray_function_array_list)); + RAY_CHECK_JAVA_EXCEPTION(inner_env); + jobject args_array_list = ToJavaArgs(inner_env, java_check_results, args); // invoke Java method - jobject java_return_objects = env->CallObjectMethod(java_task_executor, - java_task_executor_execute, - ray_function_array_list, - args_array_list); + jobject java_return_objects = + inner_env->CallObjectMethod(java_task_executor, + java_task_executor_execute, + ray_function_array_list, + args_array_list); // Check whether the exception is `IntentionalSystemExit`. - jthrowable throwable = env->ExceptionOccurred(); + jthrowable throwable = inner_env->ExceptionOccurred(); if (throwable) { Status status_to_return = Status::OK(); - if (env->IsInstanceOf(throwable, - java_ray_intentional_system_exit_exception_class)) { + if (inner_env->IsInstanceOf(throwable, + java_ray_intentional_system_exit_exception_class)) { status_to_return = Status::IntentionalSystemExit(""); - } else if (env->IsInstanceOf(throwable, java_ray_actor_exception_class)) { - creation_task_exception_pb = SerializeActorCreationException(env, throwable); + } else if (inner_env->IsInstanceOf(throwable, java_ray_actor_exception_class)) { + creation_task_exception_pb = + SerializeActorCreationException(inner_env, throwable); status_to_return = Status::CreationTaskError(""); } else { RAY_LOG(ERROR) << "Unknown java exception was thrown while executing tasks."; } *application_error = status_to_return.ToString(); - env->ExceptionClear(); + inner_env->ExceptionClear(); return status_to_return; } - RAY_CHECK_JAVA_EXCEPTION(env); + RAY_CHECK_JAVA_EXCEPTION(inner_env); int64_t task_output_inlined_bytes = 0; // Process return objects. if (!returns->empty()) { std::vector> return_objects; JavaListToNativeVector>( - env, + inner_env, java_return_objects, &return_objects, - [](JNIEnv *env, jobject java_native_ray_object) { - return JavaNativeRayObjectToNativeRayObject(env, java_native_ray_object); + [](JNIEnv *object_env, jobject java_native_ray_object) { + return JavaNativeRayObjectToNativeRayObject(object_env, + java_native_ray_object); }); for (size_t i = 0; i < return_objects.size(); i++) { auto &result_id = (*returns)[i].first; @@ -251,9 +254,9 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, } } - env->DeleteLocalRef(java_check_results); - env->DeleteLocalRef(java_return_objects); - env->DeleteLocalRef(args_array_list); + inner_env->DeleteLocalRef(java_check_results); + inner_env->DeleteLocalRef(java_return_objects); + inner_env->DeleteLocalRef(args_array_list); return Status::OK(); }; @@ -273,9 +276,9 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, absl::MutexLock lock(&mutex); int64_t start = current_time_ms(); if (last_gc_time_ms + 1000 < start) { - JNIEnv *env = GetJNIEnv(); + JNIEnv *inner_env = GetJNIEnv(); RAY_LOG(DEBUG) << "Calling System.gc() ..."; - env->CallStaticObjectMethod(java_system_class, java_system_gc); + inner_env->CallStaticObjectMethod(java_system_class, java_system_gc); last_gc_time_ms = current_time_ms(); RAY_LOG(DEBUG) << "GC finished in " << static_cast(last_gc_time_ms - start) / 1000 @@ -315,34 +318,36 @@ Java_io_ray_runtime_RayNativeRuntime_nativeInitialize(JNIEnv *env, return std::make_shared( object.GetData(), object.GetMetadata(), object.GetNestedRefs(), true); } - JNIEnv *env = GetJNIEnv(); - auto java_byte_array = NativeBufferToJavaByteArray(env, object.GetData()); - auto raw_object_id_byte_array = NativeStringToJavaByteArray(env, object_id.Binary()); + JNIEnv *inner_env = GetJNIEnv(); + auto java_byte_array = NativeBufferToJavaByteArray(inner_env, object.GetData()); + auto raw_object_id_byte_array = + NativeStringToJavaByteArray(inner_env, object_id.Binary()); RAY_LOG(DEBUG) << "Allocating Java byte array for object " << object_id; - env->CallStaticVoidMethod(java_object_ref_impl_class, - java_object_ref_impl_class_on_memory_store_object_allocated, - raw_object_id_byte_array, - java_byte_array); - auto java_weak_ref = CreateJavaWeakRef(env, java_byte_array); + inner_env->CallStaticVoidMethod( + java_object_ref_impl_class, + java_object_ref_impl_class_on_memory_store_object_allocated, + raw_object_id_byte_array, + java_byte_array); + auto java_weak_ref = CreateJavaWeakRef(inner_env, java_byte_array); // This shared_ptr will be captured by the data_factory. So when the data_factory // is destructed, we deference the java_weak_ref. std::shared_ptr java_weak_ref_ptr{ reinterpret_cast(java_weak_ref), [](auto p) { - JNIEnv *env = GetJNIEnv(); - env->DeleteLocalRef(reinterpret_cast(p)); + JNIEnv *deleter_env = GetJNIEnv(); + deleter_env->DeleteLocalRef(reinterpret_cast(p)); }}; // Remove this local reference because this byte array is fate-sharing with the // ObjectRefImpl in Java frontend. - env->DeleteLocalRef(java_byte_array); - env->DeleteLocalRef(raw_object_id_byte_array); + inner_env->DeleteLocalRef(java_byte_array); + inner_env->DeleteLocalRef(raw_object_id_byte_array); auto data_factory = [java_weak_ref_ptr, object_id]() -> std::shared_ptr { - JNIEnv *env = GetJNIEnv(); - jbyteArray java_byte_array = (jbyteArray)env->CallObjectMethod( + JNIEnv *data_env = GetJNIEnv(); + jbyteArray _java_byte_array = (jbyteArray)data_env->CallObjectMethod( reinterpret_cast(java_weak_ref_ptr.get()), java_weak_reference_get); - RAY_CHECK_JAVA_EXCEPTION(env); - RAY_CHECK(java_byte_array != nullptr) + RAY_CHECK_JAVA_EXCEPTION(data_env); + RAY_CHECK(_java_byte_array != nullptr) << "The java byte array is null of object " << object_id; - return std::make_shared(env, java_byte_array); + return std::make_shared(data_env, _java_byte_array); }; std::shared_ptr metadata_buffer = object.GetMetadata(); return std::make_shared(metadata_buffer, @@ -407,22 +412,23 @@ JNIEXPORT void JNICALL Java_io_ray_runtime_RayNativeRuntime_nativeKillActor( JNIEXPORT jobject JNICALL Java_io_ray_runtime_RayNativeRuntime_nativeGetResourceIds(JNIEnv *env, jclass) { - auto key_converter = [](JNIEnv *env, const std::string &str) -> jstring { - return env->NewStringUTF(str.c_str()); + auto key_converter = [](JNIEnv *inner_env, const std::string &str) -> jstring { + return inner_env->NewStringUTF(str.c_str()); }; auto value_converter = - [](JNIEnv *env, const std::vector> &value) -> jobject { - auto elem_converter = [](JNIEnv *env, + [](JNIEnv *inner_env, + const std::vector> &value) -> jobject { + auto elem_converter = [](JNIEnv *object_env, const std::pair &elem) -> jobject { - jobject java_item = env->NewObject(java_resource_value_class, - java_resource_value_init, - (jlong)elem.first, - (jdouble)elem.second); - RAY_CHECK_JAVA_EXCEPTION(env); + jobject java_item = object_env->NewObject(java_resource_value_class, + java_resource_value_init, + (jlong)elem.first, + (jdouble)elem.second); + RAY_CHECK_JAVA_EXCEPTION(object_env); return java_item; }; return NativeVectorToJavaList>( - env, value, std::move(elem_converter)); + inner_env, value, std::move(elem_converter)); }; ResourceMappingType resource_mapping = CoreWorkerProcess::GetCoreWorker().GetResourceIDs(); diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc index e99c24530581..258263f176b1 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc @@ -64,8 +64,8 @@ JNIEXPORT jobject JNICALL Java_io_ray_runtime_gcs_GlobalStateAccessor_nativeGetA auto *gcs_accessor = reinterpret_cast(gcs_accessor_ptr); auto job_info_list = gcs_accessor->GetAllJobInfo(); return NativeVectorToJavaList( - env, job_info_list, [](JNIEnv *env, const std::string &str) { - return NativeStringToJavaByteArray(env, str); + env, job_info_list, [](JNIEnv *inner_env, const std::string &str) { + return NativeStringToJavaByteArray(inner_env, str); }); } @@ -85,8 +85,8 @@ Java_io_ray_runtime_gcs_GlobalStateAccessor_nativeGetAllNodeInfo(JNIEnv *env, auto *gcs_accessor = reinterpret_cast(gcs_accessor_ptr); auto node_info_list = gcs_accessor->GetAllNodeInfo(); return NativeVectorToJavaList( - env, node_info_list, [](JNIEnv *env, const std::string &str) { - return NativeStringToJavaByteArray(env, str); + env, node_info_list, [](JNIEnv *inner_env, const std::string &str) { + return NativeStringToJavaByteArray(inner_env, str); }); } @@ -110,8 +110,8 @@ Java_io_ray_runtime_gcs_GlobalStateAccessor_nativeGetAllActorInfo( auto actor_info_list = gcs_accessor->GetAllActorInfo(std::nullopt, job_id, actor_state_name); return NativeVectorToJavaList( - env, actor_info_list, [](JNIEnv *env, const std::string &str) { - return NativeStringToJavaByteArray(env, str); + env, actor_info_list, [](JNIEnv *inner_env, const std::string &str) { + return NativeStringToJavaByteArray(inner_env, str); }); } @@ -161,8 +161,8 @@ Java_io_ray_runtime_gcs_GlobalStateAccessor_nativeGetAllPlacementGroupInfo( auto *gcs_accessor = reinterpret_cast(gcs_accessor_ptr); auto placement_group_info_list = gcs_accessor->GetAllPlacementGroupInfo(); return NativeVectorToJavaList( - env, placement_group_info_list, [](JNIEnv *env, const std::string &str) { - return NativeStringToJavaByteArray(env, str); + env, placement_group_info_list, [](JNIEnv *inner_env, const std::string &str) { + return NativeStringToJavaByteArray(inner_env, str); }); } diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc index e83a3773f184..2c0f5548ec0a 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc @@ -128,9 +128,10 @@ Java_io_ray_runtime_object_NativeObjectStore_nativePut___3BLio_ray_runtime_objec JNIEXPORT jobject JNICALL Java_io_ray_runtime_object_NativeObjectStore_nativeGet( JNIEnv *env, jclass, jobject ids, jlong timeoutMs) { std::vector object_ids; - JavaListToNativeVector(env, ids, &object_ids, [](JNIEnv *env, jobject id) { - return JavaByteArrayToId(env, static_cast(id)); - }); + JavaListToNativeVector( + env, ids, &object_ids, [](JNIEnv *inner_env, jobject id) { + return JavaByteArrayToId(inner_env, static_cast(id)); + }); std::vector> results; auto status = CoreWorkerProcess::GetCoreWorker().Get( object_ids, static_cast(timeoutMs), results); @@ -148,8 +149,8 @@ Java_io_ray_runtime_object_NativeObjectStore_nativeWait(JNIEnv *env, jboolean fetch_local) { std::vector object_ids; JavaListToNativeVector( - env, objectIds, &object_ids, [](JNIEnv *env, jobject id) { - return JavaByteArrayToId(env, static_cast(id)); + env, objectIds, &object_ids, [](JNIEnv *inner_env, jobject id) { + return JavaByteArrayToId(inner_env, static_cast(id)); }); std::vector results; auto status = CoreWorkerProcess::GetCoreWorker().Wait(object_ids, @@ -158,20 +159,21 @@ Java_io_ray_runtime_object_NativeObjectStore_nativeWait(JNIEnv *env, &results, static_cast(fetch_local)); THROW_EXCEPTION_AND_RETURN_IF_NOT_OK(env, status, nullptr); - return NativeVectorToJavaList(env, results, [](JNIEnv *env, const bool &item) { - jobject java_item = - env->NewObject(java_boolean_class, java_boolean_init, (jboolean)item); - RAY_CHECK_JAVA_EXCEPTION(env); - return java_item; - }); + return NativeVectorToJavaList( + env, results, [](JNIEnv *inner_env, const bool &item) { + jobject java_item = + inner_env->NewObject(java_boolean_class, java_boolean_init, (jboolean)item); + RAY_CHECK_JAVA_EXCEPTION(inner_env); + return java_item; + }); } JNIEXPORT void JNICALL Java_io_ray_runtime_object_NativeObjectStore_nativeDelete( JNIEnv *env, jclass, jobject objectIds, jboolean localOnly) { std::vector object_ids; JavaListToNativeVector( - env, objectIds, &object_ids, [](JNIEnv *env, jobject id) { - return JavaByteArrayToId(env, static_cast(id)); + env, objectIds, &object_ids, [](JNIEnv *inner_env, jobject id) { + return JavaByteArrayToId(inner_env, static_cast(id)); }); auto status = CoreWorkerProcess::GetCoreWorker().Delete(object_ids, static_cast(localOnly)); @@ -207,15 +209,15 @@ Java_io_ray_runtime_object_NativeObjectStore_nativeGetAllReferenceCounts(JNIEnv return NativeMapToJavaMap>( env, reference_counts, - [](JNIEnv *env, const ObjectID &key) { - return IdToJavaByteArray(env, key); + [](JNIEnv *inner_env, const ObjectID &key) { + return IdToJavaByteArray(inner_env, key); }, - [](JNIEnv *env, const std::pair &value) { - jlongArray array = env->NewLongArray(2); - jlong *elements = env->GetLongArrayElements(array, nullptr); + [](JNIEnv *inner_env, const std::pair &value) { + jlongArray array = inner_env->NewLongArray(2); + jlong *elements = inner_env->GetLongArrayElements(array, nullptr); elements[0] = static_cast(value.first); elements[1] = static_cast(value.second); - env->ReleaseLongArrayElements(array, elements, 0); + inner_env->ReleaseLongArrayElements(array, elements, 0); return array; }); } diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc index 531b19c3d58e..fc565d26e8c0 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc @@ -66,10 +66,10 @@ inline const RayFunction &ToRayFunction(JNIEnv *env, return fd_vector.back().second; } -inline std::vector> ToTaskArgs(JNIEnv *env, jobject args) { +inline std::vector> ToTaskArgs(JNIEnv *inner_env, jobject args) { std::vector> task_args; JavaListToNativeVector>( - env, args, &task_args, [](JNIEnv *env, jobject arg) { + inner_env, args, &task_args, [](JNIEnv *env, jobject arg) { auto java_id = env->GetObjectField(arg, java_function_arg_id); if (java_id) { auto java_id_bytes = static_cast( @@ -99,12 +99,12 @@ inline std::unordered_map ToResources(JNIEnv *env, return JavaMapToNativeMap( env, java_resources, - [](JNIEnv *env, jobject java_key) { - return JavaStringToNativeString(env, (jstring)java_key); + [](JNIEnv *inner_env, jobject java_key) { + return JavaStringToNativeString(inner_env, (jstring)java_key); }, - [](JNIEnv *env, jobject java_value) { - double value = env->CallDoubleMethod(java_value, java_double_double_value); - RAY_CHECK_JAVA_EXCEPTION(env); + [](JNIEnv *inner_env, jobject java_value) { + double value = inner_env->CallDoubleMethod(java_value, java_double_double_value); + RAY_CHECK_JAVA_EXCEPTION(inner_env); return value; }); } @@ -232,34 +232,35 @@ inline ActorCreationOptions ToActorCreationOptions(JNIEnv *env, env, java_concurrency_groups_field, &concurrency_groups, - [](JNIEnv *env, jobject java_concurrency_group_impl) { + [](JNIEnv *inner_env, jobject java_concurrency_group_impl) { RAY_CHECK(java_concurrency_group_impl != nullptr); - jobject java_func_descriptors = - env->CallObjectMethod(java_concurrency_group_impl, - java_concurrency_group_impl_get_function_descriptors); - RAY_CHECK_JAVA_EXCEPTION(env); + jobject java_func_descriptors = inner_env->CallObjectMethod( + java_concurrency_group_impl, + java_concurrency_group_impl_get_function_descriptors); + RAY_CHECK_JAVA_EXCEPTION(inner_env); std::vector native_func_descriptors; JavaListToNativeVector( - env, + inner_env, java_func_descriptors, &native_func_descriptors, - [](JNIEnv *env, jobject java_func_descriptor) { + [](JNIEnv *converter_env, jobject java_func_descriptor) { RAY_CHECK(java_func_descriptor != nullptr); - const jint hashcode = GetHashCodeOfJavaObject(env, java_func_descriptor); + const jint hashcode = + GetHashCodeOfJavaObject(converter_env, java_func_descriptor); ray::FunctionDescriptor native_func = - ToRayFunction(env, java_func_descriptor, hashcode) + ToRayFunction(converter_env, java_func_descriptor, hashcode) .GetFunctionDescriptor(); return native_func; }); // Put func_descriptors into this task group. const std::string concurrency_group_name = JavaStringToNativeString( - env, - (jstring)env->GetObjectField(java_concurrency_group_impl, - java_concurrency_group_impl_name)); - const uint32_t max_concurrency = env->GetIntField( + inner_env, + (jstring)inner_env->GetObjectField(java_concurrency_group_impl, + java_concurrency_group_impl_name)); + const uint32_t _max_concurrency = inner_env->GetIntField( java_concurrency_group_impl, java_concurrency_group_impl_max_concurrency); return ray::ConcurrencyGroup{ - concurrency_group_name, max_concurrency, native_func_descriptors}; + concurrency_group_name, _max_concurrency, native_func_descriptors}; }); auto java_serialized_runtime_env = (jstring)env->GetObjectField( actorCreationOptions, java_actor_creation_options_serialized_runtime_env); @@ -340,16 +341,17 @@ inline PlacementGroupCreationOptions ToPlacementGroupCreationOptions( placementGroupCreationOptions, java_placement_group_creation_options_bundles); std::vector> bundles; JavaListToNativeVector>( - env, java_bundles, &bundles, [](JNIEnv *env, jobject java_bundle) { + env, java_bundles, &bundles, [](JNIEnv *inner_env, jobject java_bundle) { return JavaMapToNativeMap( - env, + inner_env, java_bundle, - [](JNIEnv *env, jobject java_key) { - return JavaStringToNativeString(env, (jstring)java_key); + [](JNIEnv *key_env, jobject java_key) { + return JavaStringToNativeString(key_env, (jstring)java_key); }, - [](JNIEnv *env, jobject java_value) { - double value = env->CallDoubleMethod(java_value, java_double_double_value); - RAY_CHECK_JAVA_EXCEPTION(env); + [](JNIEnv *value_env, jobject java_value) { + double value = + value_env->CallDoubleMethod(java_value, java_double_double_value); + RAY_CHECK_JAVA_EXCEPTION(value_env); return value; }); }); diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 238dd3634268..1fd5669589c9 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -71,8 +71,8 @@ bool ObjectRecoveryManager::RecoverObject(const ObjectID &object_id) { // gcs_client. object_lookup_( object_id, - [this](const ObjectID &object_id, std::vector locations) { - PinOrReconstructObject(object_id, std::move(locations)); + [this](const ObjectID &object_id_to_lookup, std::vector locations) { + PinOrReconstructObject(object_id_to_lookup, std::move(locations)); }); } else if (requires_recovery) { RAY_LOG(DEBUG).WithField(object_id) << "Recovery already started for object"; diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 6f15095e3e24..6e328900a907 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -38,7 +38,7 @@ bool ReferenceCounter::OwnedByUs(const ObjectID &object_id) const { absl::MutexLock lock(&mutex_); auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { - return it->second.owned_by_us; + return it->second.owned_by_us_; } return false; } @@ -102,12 +102,12 @@ bool ReferenceCounter::AddBorrowedObjectInternal(const ObjectID &object_id, } RAY_LOG(DEBUG) << "Adding borrowed object " << object_id; - it->second.owner_address = owner_address; + it->second.owner_address_ = owner_address; it->second.foreign_owner_already_monitoring |= foreign_owner_already_monitoring; if (!outer_id.IsNil()) { auto outer_it = object_id_refs_.find(outer_id); - if (outer_it != object_id_refs_.end() && !outer_it->second.owned_by_us) { + if (outer_it != object_id_refs_.end() && !outer_it->second.owned_by_us_) { RAY_LOG(DEBUG) << "Setting borrowed inner ID " << object_id << " contained_in_borrowed: " << outer_id; RAY_CHECK_NE(object_id, outer_id); @@ -143,18 +143,18 @@ void ReferenceCounter::AddObjectRefStats( auto ref_proto = stats->add_object_refs(); ref_proto->set_object_id(ref.first.Binary()); - ref_proto->set_call_site(ref.second.call_site); - ref_proto->set_object_size(ref.second.object_size); + ref_proto->set_call_site(ref.second.call_site_); + ref_proto->set_object_size(ref.second.object_size_); ref_proto->set_local_ref_count(ref.second.local_ref_count); ref_proto->set_submitted_task_ref_count(ref.second.submitted_task_ref_count); auto it = pinned_objects.find(ref.first); if (it != pinned_objects.end()) { ref_proto->set_pinned_in_memory(true); // If some info isn't available, fallback to getting it from the pinned info. - if (ref.second.object_size <= 0) { + if (ref.second.object_size_ <= 0) { ref_proto->set_object_size(it->second.first); } - if (ref.second.call_site.empty()) { + if (ref.second.call_site_.empty()) { ref_proto->set_call_site(it->second.second); } } @@ -162,7 +162,7 @@ void ReferenceCounter::AddObjectRefStats( ref_proto->add_contained_in_owned(obj_id.Binary()); } - if (ref.second.owned_by_us && !ref.second.pending_creation) { + if (ref.second.owned_by_us_ && !ref.second.pending_creation_) { // For finished tasks only, we set the status here instead of in the // TaskManager in case the task spec has already been GCed. ref_proto->set_task_status(rpc::TaskStatus::FINISHED); @@ -225,15 +225,15 @@ void ReferenceCounter::AddDynamicReturn(const ObjectID &object_id, } RAY_LOG(DEBUG) << "Adding dynamic return " << object_id << " contained in generator object " << generator_id; - RAY_CHECK(outer_it->second.owned_by_us); - RAY_CHECK(outer_it->second.owner_address.has_value()); - rpc::Address owner_address(outer_it->second.owner_address.value()); + RAY_CHECK(outer_it->second.owned_by_us_); + RAY_CHECK(outer_it->second.owner_address_.has_value()); + rpc::Address owner_address(outer_it->second.owner_address_.value()); RAY_UNUSED(AddOwnedObjectInternal(object_id, {}, owner_address, - outer_it->second.call_site, + outer_it->second.call_site_, /*object_size=*/-1, - outer_it->second.is_reconstructable, + outer_it->second.is_reconstructable_, /*add_local_ref=*/false, std::optional())); AddNestedObjectIdsInternal(generator_id, {object_id}, owner_address); @@ -258,17 +258,17 @@ void ReferenceCounter::OwnDynamicStreamingTaskReturnRef(const ObjectID &object_i } RAY_LOG(DEBUG) << "Adding dynamic return " << object_id << " contained in generator object " << generator_id; - RAY_CHECK(outer_it->second.owned_by_us); - RAY_CHECK(outer_it->second.owner_address.has_value()); - rpc::Address owner_address(outer_it->second.owner_address.value()); + RAY_CHECK(outer_it->second.owned_by_us_); + RAY_CHECK(outer_it->second.owner_address_.has_value()); + rpc::Address owner_address(outer_it->second.owner_address_.value()); // We add a local reference here. The ref removal will be handled // by the ObjectRefStream. RAY_UNUSED(AddOwnedObjectInternal(object_id, {}, owner_address, - outer_it->second.call_site, + outer_it->second.call_site_, /*object_size=*/-1, - outer_it->second.is_reconstructable, + outer_it->second.is_reconstructable_, /*add_local_ref=*/true, std::optional())); } @@ -370,7 +370,7 @@ void ReferenceCounter::UpdateObjectSize(const ObjectID &object_id, int64_t objec absl::MutexLock lock(&mutex_); auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { - it->second.object_size = object_size; + it->second.object_size_ = object_size; PushToLocationSubscribers(it); } } @@ -529,16 +529,16 @@ void ReferenceCounter::UpdateFinishedTaskReferences( int64_t ReferenceCounter::ReleaseLineageReferences(ReferenceTable::iterator ref) { int64_t lineage_bytes_evicted = 0; std::vector argument_ids; - if (on_lineage_released_ && ref->second.owned_by_us) { + if (on_lineage_released_ && ref->second.owned_by_us_) { RAY_LOG(DEBUG) << "Releasing lineage for object " << ref->first; lineage_bytes_evicted += on_lineage_released_(ref->first, &argument_ids); // The object is still in scope by the application and it was // reconstructable with lineage. Mark that its lineage has been evicted so // we can return the right error during reconstruction. if (!ref->second.OutOfScope(lineage_pinning_enabled_) && - ref->second.is_reconstructable) { + ref->second.is_reconstructable_) { ref->second.lineage_evicted = true; - ref->second.is_reconstructable = false; + ref->second.is_reconstructable_ = false; } } @@ -609,8 +609,8 @@ bool ReferenceCounter::GetOwnerInternal(const ObjectID &object_id, return false; } - if (it->second.owner_address) { - *owner_address = *it->second.owner_address; + if (it->second.owner_address_) { + *owner_address = *it->second.owner_address_; return true; } else { return false; @@ -667,7 +667,7 @@ void ReferenceCounter::FreePlasmaObjects(const std::vector &object_ids // The object is still in scope. It will be removed from this set // once its Reference has been deleted. freed_objects_.insert(object_id); - if (!it->second.owned_by_us) { + if (!it->second.owned_by_us_) { RAY_LOG(WARNING) << "Tried to free an object " << object_id << " that we did not create. The object value may not be released."; @@ -697,7 +697,7 @@ void ReferenceCounter::DeleteReferenceInternal(ReferenceTable::iterator it, auto inner_it = object_id_refs_.find(inner_id); if (inner_it != object_id_refs_.end()) { RAY_LOG(DEBUG) << "Try to delete inner object " << inner_id; - if (it->second.owned_by_us) { + if (it->second.owned_by_us_) { // If this object ID was nested in an owned object, make sure that // the outer object counted towards the ref count for the inner // object. @@ -745,7 +745,7 @@ void ReferenceCounter::EraseReference(ReferenceTable::iterator it) { reconstructable_owned_objects_index_.erase(index_it); } freed_objects_.erase(it->first); - if (it->second.owned_by_us) { + if (it->second.owned_by_us_) { if (ObjectID::IsActorID(it->first)) { num_actors_owned_by_us_--; } else { @@ -787,7 +787,7 @@ void ReferenceCounter::OnObjectOutOfScopeOrFreed(ReferenceTable::iterator it) { } void ReferenceCounter::UnsetObjectPrimaryCopy(ReferenceTable::iterator it) { - it->second.pinned_at_node_id.reset(); + it->second.pinned_at_node_id_.reset(); if (it->second.spilled && !it->second.spilled_node_id.IsNil()) { it->second.spilled = false; it->second.spilled_url = ""; @@ -831,7 +831,7 @@ void ReferenceCounter::ResetObjectsOnRemovedNode(const NodeID &node_id) { absl::MutexLock lock(&mutex_); for (auto it = object_id_refs_.begin(); it != object_id_refs_.end(); it++) { const auto &object_id = it->first; - if (it->second.pinned_at_node_id.value_or(NodeID::Nil()) == node_id || + if (it->second.pinned_at_node_id_.value_or(NodeID::Nil()) == node_id || it->second.spilled_node_id == node_id) { UnsetObjectPrimaryCopy(it); if (!it->second.OutOfScope(lineage_pinning_enabled_)) { @@ -861,17 +861,17 @@ void ReferenceCounter::UpdateObjectPinnedAtRaylet(const ObjectID &object_id, // The object is still in scope. Track the raylet location until the object // has gone out of scope or the raylet fails, whichever happens first. - if (it->second.pinned_at_node_id.has_value()) { + if (it->second.pinned_at_node_id_.has_value()) { RAY_LOG(INFO).WithField(object_id) << "Updating primary location for object to node " << node_id - << ", but it already has a primary location " << *it->second.pinned_at_node_id + << ", but it already has a primary location " << *it->second.pinned_at_node_id_ << ". This should only happen during reconstruction"; } // Only the owner tracks the location. - RAY_CHECK(it->second.owned_by_us); + RAY_CHECK(it->second.owned_by_us_); if (!it->second.OutOfScope(lineage_pinning_enabled_)) { if (!is_node_dead_(node_id)) { - it->second.pinned_at_node_id = node_id; + it->second.pinned_at_node_id_ = node_id; } else { UnsetObjectPrimaryCopy(it); objects_to_recover_.push_back(object_id); @@ -887,10 +887,10 @@ bool ReferenceCounter::IsPlasmaObjectPinnedOrSpilled(const ObjectID &object_id, absl::MutexLock lock(&mutex_); auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { - if (it->second.owned_by_us) { + if (it->second.owned_by_us_) { *owned_by_us = true; *spilled = it->second.spilled; - *pinned_at = it->second.pinned_at_node_id.value_or(NodeID::Nil()); + *pinned_at = it->second.pinned_at_node_id_.value_or(NodeID::Nil()); } return true; } @@ -996,7 +996,7 @@ bool ReferenceCounter::GetAndClearLocalBorrowersInternal( // because it is possible to receive a reference to an object that we already // own, e.g., if we execute a task that has an object ID in its arguments // that we created in an earlier task. - if (ref.owned_by_us) { + if (ref.owned_by_us_) { // Return true because we have the ref, but there is no need to return it // since we own the object. return true; @@ -1081,16 +1081,16 @@ void ReferenceCounter::MergeRemoteBorrowers(const ObjectID &object_id, // local table. for (const auto &contained_in_borrowed_id : borrower_it->second.nested().contained_in_borrowed_ids) { - RAY_CHECK(borrower_ref.owner_address); + RAY_CHECK(borrower_ref.owner_address_); AddBorrowedObjectInternal(object_id, contained_in_borrowed_id, - *borrower_ref.owner_address, + *borrower_ref.owner_address_, /*foreign_owner_already_monitoring=*/false); } // If we own this ID, then wait for all new borrowers to reach a ref count // of 0 before GCing the object value. - if (it->second.owned_by_us) { + if (it->second.owned_by_us_) { for (const auto &addr : new_borrowers) { WaitForRefRemoved(it, addr); } @@ -1139,10 +1139,10 @@ void ReferenceCounter::WaitForRefRemoved(const ReferenceTable::iterator &ref_it, auto sub_message = std::make_unique(); auto *request = sub_message->mutable_worker_ref_removed_message(); // Only the owner should send requests to borrowers. - RAY_CHECK(ref_it->second.owned_by_us); + RAY_CHECK(ref_it->second.owned_by_us_); request->mutable_reference()->set_object_id(object_id.Binary()); request->mutable_reference()->mutable_owner_address()->CopyFrom( - *ref_it->second.owner_address); + *ref_it->second.owner_address_); request->set_contained_in_id(contained_in_id.Binary()); request->set_intended_worker_id(addr.worker_id()); request->set_subscriber_worker_id(rpc_address_.worker_id()); @@ -1167,10 +1167,12 @@ void ReferenceCounter::WaitForRefRemoved(const ReferenceTable::iterator &ref_it, const Status &) { // When the request is failed, there's no new borrowers ref published from this // borrower. - const auto object_id = ObjectID::FromBinary(object_id_binary); - RAY_LOG(DEBUG).WithField(object_id).WithField(WorkerID::FromBinary(addr.worker_id())) + const auto failed_borrower_object_id = ObjectID::FromBinary(object_id_binary); + RAY_LOG(DEBUG) + .WithField(failed_borrower_object_id) + .WithField(WorkerID::FromBinary(addr.worker_id())) << "WaitForRefRemoved failed for object, dest worker"; - CleanupBorrowersOnRefRemoved({}, object_id, addr); + CleanupBorrowersOnRefRemoved({}, failed_borrower_object_id, addr); }; RAY_CHECK( @@ -1199,7 +1201,7 @@ void ReferenceCounter::AddNestedObjectIdsInternal(const ObjectID &object_id, // We own object_id. This is a `ray.put()` case OR returning an object ID // from a task and the task's caller executed in the same process as us. if (it != object_id_refs_.end()) { - RAY_CHECK(it->second.owned_by_us); + RAY_CHECK(it->second.owned_by_us_); // The outer object is still in scope. Mark the inner ones as being // contained in the outer object ID so we do not GC the inner objects // until the outer object goes out of scope. @@ -1232,7 +1234,7 @@ void ReferenceCounter::AddNestedObjectIdsInternal(const ObjectID &object_id, inner_it = object_id_refs_.emplace(inner_id, Reference()).first; } // Add the task's caller as a borrower. - if (inner_it->second.owned_by_us) { + if (inner_it->second.owned_by_us_) { auto inserted = inner_it->second.mutable_borrow()->borrowers.insert(owner_address).second; if (inserted) { @@ -1389,8 +1391,8 @@ void ReferenceCounter::UpdateObjectPendingCreationInternal(const ObjectID &objec auto it = object_id_refs_.find(object_id); bool push = false; if (it != object_id_refs_.end()) { - push = (it->second.pending_creation != pending_creation); - it->second.pending_creation = pending_creation; + push = (it->second.pending_creation_ != pending_creation); + it->second.pending_creation_ = pending_creation; } if (push) { PushToLocationSubscribers(it); @@ -1462,11 +1464,11 @@ std::optional ReferenceCounter::GetLocalityData( } // The size of this object. - const auto object_size = it->second.object_size; + const auto object_size = it->second.object_size_; if (object_size < 0) { // We don't know the object size so we can't returned valid locality data. RAY_LOG(DEBUG).WithField(object_id) - << "Reference [" << it->second.call_site + << "Reference [" << it->second.call_site_ << "] for object has an unknown object size, locality data not available"; return absl::nullopt; } @@ -1479,8 +1481,8 @@ std::optional ReferenceCounter::GetLocalityData( auto node_ids = it->second.locations; // Add location of the primary copy since the object must be there: either in memory or // spilled. - if (it->second.pinned_at_node_id.has_value()) { - node_ids.emplace(it->second.pinned_at_node_id.value()); + if (it->second.pinned_at_node_id_.has_value()) { + node_ids.emplace(it->second.pinned_at_node_id_.value()); } // We should only reach here if we have valid locality data to return. @@ -1500,13 +1502,13 @@ bool ReferenceCounter::ReportLocalityData(const ObjectID &object_id, << " The object has probably already been freed."; return false; } - RAY_CHECK(!it->second.owned_by_us) + RAY_CHECK(!it->second.owned_by_us_) << "ReportLocalityData should only be used for borrowed references."; for (const auto &location : locations) { it->second.locations.emplace(location); } if (object_size > 0) { - it->second.object_size = object_size; + it->second.object_size_ = object_size; } return true; } @@ -1517,7 +1519,7 @@ void ReferenceCounter::AddBorrowerAddress(const ObjectID &object_id, auto it = object_id_refs_.find(object_id); RAY_CHECK(it != object_id_refs_.end()); - RAY_CHECK(it->second.owned_by_us) + RAY_CHECK(it->second.owned_by_us_) << "AddBorrowerAddress should only be used for owner references."; RAY_CHECK(borrower_address.worker_id() != rpc_address_.worker_id()) @@ -1542,7 +1544,7 @@ bool ReferenceCounter::IsObjectReconstructable(const ObjectID &object_id, return false; } *lineage_evicted = it->second.lineage_evicted; - return it->second.is_reconstructable; + return it->second.is_reconstructable_; } void ReferenceCounter::UpdateObjectPendingCreation(const ObjectID &object_id, @@ -1557,23 +1559,23 @@ bool ReferenceCounter::IsObjectPendingCreation(const ObjectID &object_id) const if (it == object_id_refs_.end()) { return false; } - return it->second.pending_creation; + return it->second.pending_creation_; } void ReferenceCounter::PushToLocationSubscribers(ReferenceTable::iterator it) { const auto &object_id = it->first; const auto &locations = it->second.locations; - auto object_size = it->second.object_size; + auto object_size = it->second.object_size_; const auto &spilled_url = it->second.spilled_url; const auto &spilled_node_id = it->second.spilled_node_id; - const auto &optional_primary_node_id = it->second.pinned_at_node_id; + const auto &optional_primary_node_id = it->second.pinned_at_node_id_; const auto &primary_node_id = optional_primary_node_id.value_or(NodeID::Nil()); RAY_LOG(DEBUG).WithField(object_id) << "Published message for object, " << locations.size() << " locations, spilled url: [" << spilled_url << "], spilled node ID: " << spilled_node_id << ", and object size: " << object_size << ", and primary node ID: " << primary_node_id << ", pending creation? " - << it->second.pending_creation; + << it->second.pending_creation_; rpc::PubMessage pub_message; pub_message.set_key_id(object_id.Binary()); pub_message.set_channel_type(rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL); @@ -1604,15 +1606,15 @@ void ReferenceCounter::FillObjectInformationInternal( for (const auto &node_id : it->second.locations) { object_info->add_node_ids(node_id.Binary()); } - int64_t object_size = it->second.object_size; + int64_t object_size = it->second.object_size_; if (object_size > 0) { - object_info->set_object_size(it->second.object_size); + object_info->set_object_size(it->second.object_size_); } object_info->set_spilled_url(it->second.spilled_url); object_info->set_spilled_node_id(it->second.spilled_node_id.Binary()); - auto primary_node_id = it->second.pinned_at_node_id.value_or(NodeID::Nil()); + auto primary_node_id = it->second.pinned_at_node_id_.value_or(NodeID::Nil()); object_info->set_primary_node_id(primary_node_id.Binary()); - object_info->set_pending_creation(it->second.pending_creation); + object_info->set_pending_creation(it->second.pending_creation_); object_info->set_did_spill(it->second.did_spill); } @@ -1670,7 +1672,7 @@ std::string ReferenceCounter::Reference::DebugString() const { ReferenceCounter::Reference ReferenceCounter::Reference::FromProto( const rpc::ObjectReferenceCount &ref_count) { Reference ref; - ref.owner_address = ref_count.reference().owner_address(); + ref.owner_address_ = ref_count.reference().owner_address(); ref.local_ref_count = ref_count.has_local_ref() ? 1 : 0; for (const auto &borrower : ref_count.borrowers()) { @@ -1692,8 +1694,8 @@ ReferenceCounter::Reference ReferenceCounter::Reference::FromProto( void ReferenceCounter::Reference::ToProto(rpc::ObjectReferenceCount *ref, bool deduct_local_ref) const { - if (owner_address) { - ref->mutable_reference()->mutable_owner_address()->CopyFrom(*owner_address); + if (owner_address_) { + ref->mutable_reference()->mutable_owner_address()->CopyFrom(*owner_address_); } ref->set_has_local_ref(RefCount() > (deduct_local_ref ? 1 : 0)); for (const auto &borrower : borrow().borrowers) { @@ -1719,7 +1721,7 @@ std::optional ReferenceCounter::GetTensorTransport( if (it == object_id_refs_.end()) { return absl::nullopt; } - return it->second.tensor_transport; + return it->second.tensor_transport_; } } // namespace core diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index 4214ded8d24c..d168f749e42f 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -646,7 +646,7 @@ class ReferenceCounter : public ReferenceCounterInterface, /// Constructor for a reference whose origin is unknown. Reference() = default; Reference(std::string call_site, int64_t object_size) - : call_site(std::move(call_site)), object_size(object_size) {} + : call_site_(std::move(call_site)), object_size_(object_size) {} /// Constructor for a reference that we created. Reference(rpc::Address owner_address, std::string call_site, @@ -654,14 +654,14 @@ class ReferenceCounter : public ReferenceCounterInterface, bool is_reconstructable, std::optional pinned_at_node_id, rpc::TensorTransport tensor_transport) - : call_site(std::move(call_site)), - object_size(object_size), - owner_address(std::move(owner_address)), - pinned_at_node_id(std::move(pinned_at_node_id)), - tensor_transport(tensor_transport), - owned_by_us(true), - is_reconstructable(is_reconstructable), - pending_creation(!pinned_at_node_id.has_value()) {} + : call_site_(std::move(call_site)), + object_size_(object_size), + owner_address_(std::move(owner_address)), + pinned_at_node_id_(std::move(pinned_at_node_id)), + tensor_transport_(tensor_transport), + owned_by_us_(true), + is_reconstructable_(is_reconstructable), + pending_creation_(!pinned_at_node_id_.has_value()) {} /// Constructor from a protobuf. This is assumed to be a message from /// another process, so the object defaults to not being owned by us. @@ -694,7 +694,7 @@ class ReferenceCounter : public ReferenceCounterInterface, bool was_stored_in_objects = !borrow().stored_in_objects.empty(); bool has_lineage_references = false; - if (lineage_pinning_enabled && owned_by_us && !is_reconstructable) { + if (lineage_pinning_enabled && owned_by_us_ && !is_reconstructable_) { has_lineage_references = lineage_ref_count > 0; } @@ -756,9 +756,9 @@ class ReferenceCounter : public ReferenceCounterInterface, std::string DebugString() const; /// Description of the call site where the reference was created. - std::string call_site = ""; + std::string call_site_ = ""; /// Object size if known, otherwise -1; - int64_t object_size = -1; + int64_t object_size_ = -1; /// If this object is owned by us and stored in plasma, this contains all /// object locations. absl::flat_hash_set locations; @@ -766,25 +766,25 @@ class ReferenceCounter : public ReferenceCounterInterface, /// owner, then this is added during creation of the Reference. If this is /// process is a borrower, the borrower must add the owner's address before /// using the ObjectID. - std::optional owner_address; + std::optional owner_address_; /// If this object is owned by us and stored in plasma, and reference /// counting is enabled, then some raylet must be pinning the object value. /// This is the address of that raylet. - std::optional pinned_at_node_id; + std::optional pinned_at_node_id_; /// TODO(kevin85421): Make tensor_transport a required field for all constructors. /// /// The transport used for the object. - rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE; + rpc::TensorTransport tensor_transport_ = rpc::TensorTransport::OBJECT_STORE; /// Whether we own the object. If we own the object, then we are /// responsible for tracking the state of the task that creates the object /// (see task_manager.h). - bool owned_by_us = false; + bool owned_by_us_ = false; // Whether this object can be reconstructed via lineage. If false, then the // object's value will be pinned as long as it is referenced by any other // object's lineage. This should be set to false if the object was created // by ray.put(), a task that cannot be retried, or its lineage was evicted. - bool is_reconstructable = false; + bool is_reconstructable_ = false; /// Whether the lineage of this object was evicted due to memory pressure. bool lineage_evicted = false; /// The number of tasks that depend on this object that may be retried in @@ -843,7 +843,7 @@ class ReferenceCounter : public ReferenceCounterInterface, bool has_nested_refs_to_report = false; /// Whether the task that creates this object is scheduled/executing. - bool pending_creation = false; + bool pending_creation_ = false; /// Whether or not this object was spilled. bool did_spill = false; diff --git a/src/ray/core_worker/task_execution/actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc index ebd201a4481b..9eee6f987a8a 100644 --- a/src/ray/core_worker/task_execution/actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc @@ -104,29 +104,29 @@ void ActorSchedulingQueue::Add( rpc::TaskStatus::PENDING_ACTOR_TASK_ARGS_FETCH, /* include_task_info */ false)); waiter_.Wait(dependencies, [this, seq_no, is_retry, retry_request]() mutable { - InboundRequest *inbound_request = nullptr; + InboundRequest *inbound_req = nullptr; if (is_retry) { // retry_request is guaranteed to be a valid pointer for retries because it // won't be erased from the retry list until its dependencies are fetched and // ExecuteRequest happens. - inbound_request = retry_request; + inbound_req = retry_request; } else if (auto it = pending_actor_tasks_.find(seq_no); it != pending_actor_tasks_.end()) { // For non-retry tasks, we need to check if the task is still in the map because // it can be erased due to being canceled via a higher `client_processed_up_to_`. - inbound_request = &it->second; + inbound_req = &it->second; } - if (inbound_request != nullptr) { - const auto &task_spec = inbound_request->TaskSpec(); + if (inbound_req != nullptr) { + const auto &inbound_req_task_spec = inbound_req->TaskSpec(); RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( - task_spec.TaskId(), - task_spec.JobId(), - task_spec.AttemptNumber(), - task_spec, + inbound_req_task_spec.TaskId(), + inbound_req_task_spec.JobId(), + inbound_req_task_spec.AttemptNumber(), + inbound_req_task_spec, rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); - inbound_request->MarkDependenciesResolved(); + inbound_req->MarkDependenciesResolved(); ScheduleRequests(); } }); diff --git a/src/ray/core_worker/task_execution/concurrency_group_manager.cc b/src/ray/core_worker/task_execution/concurrency_group_manager.cc index b1eaf375637a..12f0dfe63232 100644 --- a/src/ray/core_worker/task_execution/concurrency_group_manager.cc +++ b/src/ray/core_worker/task_execution/concurrency_group_manager.cc @@ -33,11 +33,11 @@ ConcurrencyGroupManager::ConcurrencyGroupManager( std::function()> initialize_thread_callback) : initialize_thread_callback_(std::move(initialize_thread_callback)) { for (auto &group : concurrency_groups) { - const auto name = group.name; - const auto max_concurrency = group.max_concurrency; + const auto name = group.name_; + const auto max_concurrency = group.max_concurrency_; auto executor = std::make_shared(max_concurrency, initialize_thread_callback_); - auto &fds = group.function_descriptors; + auto &fds = group.function_descriptors_; for (auto fd : fds) { functions_to_executor_index_[fd->ToString()] = executor; } diff --git a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc index 7c6740b1898c..f68843ad6829 100644 --- a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc @@ -45,7 +45,8 @@ OutOfOrderActorSchedulingQueue::OutOfOrderActorSchedulingQueue( ss << "Setting actor as asyncio with max_concurrency=" << fiber_max_concurrency << ", and defined concurrency groups are:" << std::endl; for (const auto &concurrency_group : concurrency_groups) { - ss << "\t" << concurrency_group.name << " : " << concurrency_group.max_concurrency; + ss << "\t" << concurrency_group.name_ << " : " + << concurrency_group.max_concurrency_; } RAY_LOG(INFO) << ss.str(); } @@ -188,12 +189,12 @@ void OutOfOrderActorSchedulingQueue::RunRequest(InboundRequest request) { waiter_.Wait(dependencies, [this, request = std::move(request)]() mutable { RAY_CHECK_EQ(std::this_thread::get_id(), main_thread_id_); - const TaskSpecification &task_spec = request.TaskSpec(); + const TaskSpecification &task = request.TaskSpec(); RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded( - task_spec.TaskId(), - task_spec.JobId(), - task_spec.AttemptNumber(), - task_spec, + task.TaskId(), + task.JobId(), + task.AttemptNumber(), + task, rpc::TaskStatus::PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY, /* include_task_info */ false)); diff --git a/src/ray/core_worker/task_execution/task_receiver.cc b/src/ray/core_worker/task_execution/task_receiver.cc index 18236a0c72a4..759ce1ee2e28 100644 --- a/src/ray/core_worker/task_execution/task_receiver.cc +++ b/src/ray/core_worker/task_execution/task_receiver.cc @@ -51,9 +51,10 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, } auto accept_callback = [this, reply, resource_ids = std::move(resource_ids)]( - const TaskSpecification &task_spec, - const rpc::SendReplyCallback &send_reply_callback) mutable { - auto num_returns = task_spec.NumReturns(); + const TaskSpecification &accepted_task_spec, + const rpc::SendReplyCallback + &accepted_send_reply_callback) mutable { + auto num_returns = accepted_task_spec.NumReturns(); RAY_CHECK(num_returns >= 0); std::vector>> return_objects; @@ -61,7 +62,7 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, std::vector> streaming_generator_returns; bool is_retryable_error = false; std::string application_error; - auto status = task_handler_(task_spec, + auto status = task_handler_(accepted_task_spec, std::move(resource_ids), &return_objects, &dynamic_return_objects, @@ -108,8 +109,9 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, } if (objects_valid) { - if (task_spec.ReturnsDynamic()) { - size_t num_dynamic_returns_expected = task_spec.DynamicReturnIds().size(); + if (accepted_task_spec.ReturnsDynamic()) { + size_t num_dynamic_returns_expected = + accepted_task_spec.DynamicReturnIds().size(); if (num_dynamic_returns_expected > 0) { RAY_CHECK(dynamic_return_objects.size() == num_dynamic_returns_expected) << "Expected " << num_dynamic_returns_expected @@ -132,15 +134,15 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, return_object.first, return_object.second, return_object_proto); } - if (task_spec.IsActorCreationTask()) { - concurrency_groups_ = task_spec.ConcurrencyGroups(); + if (accepted_task_spec.IsActorCreationTask()) { + concurrency_groups_ = accepted_task_spec.ConcurrencyGroups(); if (is_asyncio_) { fiber_state_manager_ = std::make_shared>( concurrency_groups_, fiber_max_concurrency_, initialize_thread_callback_); } else { // If the actor is an asyncio actor, then this concurrency group manager // for BoundedExecutor will never be used, so we don't need to initialize it. - const int default_max_concurrency = task_spec.MaxActorConcurrency(); + const int default_max_concurrency = accepted_task_spec.MaxActorConcurrency(); pool_manager_ = std::make_shared>( concurrency_groups_, default_max_concurrency, initialize_thread_callback_); } @@ -151,16 +153,17 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, RAY_CHECK_OK(actor_creation_task_done_()); if (status.IsCreationTaskError()) { RAY_LOG(WARNING) << "Actor creation task finished with errors, task_id: " - << task_spec.TaskId() - << ", actor_id: " << task_spec.ActorCreationId() + << accepted_task_spec.TaskId() + << ", actor_id: " << accepted_task_spec.ActorCreationId() << ", status: " << status; } else { // Set the actor repr name if it's customized by the actor. if (!actor_repr_name_.empty()) { reply->set_actor_repr_name(actor_repr_name_); } - RAY_LOG(INFO) << "Actor creation task finished, task_id: " << task_spec.TaskId() - << ", actor_id: " << task_spec.ActorCreationId() + RAY_LOG(INFO) << "Actor creation task finished, task_id: " + << accepted_task_spec.TaskId() + << ", actor_id: " << accepted_task_spec.ActorCreationId() << ", actor_repr_name: " << actor_repr_name_; } } @@ -172,28 +175,29 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, reply->set_worker_exiting(true); if (objects_valid) { // This happens when max_calls is hit. We still need to return the objects. - send_reply_callback(Status::OK(), nullptr, nullptr); + accepted_send_reply_callback(Status::OK(), nullptr, nullptr); } else { - send_reply_callback(status, nullptr, nullptr); + accepted_send_reply_callback(status, nullptr, nullptr); } } else { RAY_CHECK_OK(status); RAY_CHECK(objects_valid); - send_reply_callback(Status::OK(), nullptr, nullptr); + accepted_send_reply_callback(Status::OK(), nullptr, nullptr); } }; - auto cancel_callback = [reply](const TaskSpecification &task_spec, - const Status &status, - const rpc::SendReplyCallback &send_reply_callback) { - if (task_spec.IsActorTask()) { + auto cancel_callback = [reply]( + const TaskSpecification &canceled_task_spec, + const Status &status, + const rpc::SendReplyCallback &canceled_send_reply_callback) { + if (canceled_task_spec.IsActorTask()) { // We consider cancellation of actor tasks to be a push task RPC failure. - send_reply_callback(status, nullptr, nullptr); + canceled_send_reply_callback(status, nullptr, nullptr); } else { // We consider cancellation of normal tasks to be an in-band cancellation of a // successful RPC. reply->set_was_cancelled_before_running(true); - send_reply_callback(status, nullptr, nullptr); + canceled_send_reply_callback(status, nullptr, nullptr); } }; diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 0992f15ff2f9..d70717bc49f7 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -273,17 +273,17 @@ std::vector TaskManager::AddPendingTask( return_ids.push_back(return_id); rpc::ObjectReference ref; - auto object_id = spec.ReturnId(i); - ref.set_object_id(object_id.Binary()); + auto return_object_id = spec.ReturnId(i); + ref.set_object_id(return_object_id.Binary()); ref.mutable_owner_address()->CopyFrom(caller_address); ref.set_call_site(call_site); // Register the callback to free the GPU object when it is out of scope. - auto tensor_transport = reference_counter_.GetTensorTransport(object_id); + auto tensor_transport = reference_counter_.GetTensorTransport(return_object_id); if (tensor_transport.value_or(rpc::TensorTransport::OBJECT_STORE) != rpc::TensorTransport::OBJECT_STORE) { reference_counter_.AddObjectOutOfScopeOrFreedCallback( - object_id, [this](const ObjectID &object_id) { + return_object_id, [this](const ObjectID &object_id) { auto actor_id = ObjectID::ToActorID(object_id); auto rpc_client = get_actor_rpc_client_callback_(actor_id); auto request = rpc::FreeActorObjectRequest(); @@ -351,13 +351,13 @@ std::optional TaskManager::ResubmitTask( return rpc::ErrorType::OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED; } auto &task_entry = it->second; - if (task_entry.is_canceled) { + if (task_entry.is_canceled_) { return rpc::ErrorType::TASK_CANCELLED; } - if (task_entry.spec.IsStreamingGenerator() && + if (task_entry.spec_.IsStreamingGenerator() && task_entry.GetStatus() == rpc::TaskStatus::SUBMITTED_TO_WORKER) { - if (task_entry.num_retries_left == 0) { + if (task_entry.num_retries_left_ == 0) { // If the last attempt is in progress. return rpc::ErrorType::OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED; } @@ -374,7 +374,7 @@ std::optional TaskManager::ResubmitTask( SetupTaskEntryForResubmit(task_entry); } - spec = task_entry.spec; + spec = task_entry.spec_; } if (should_queue_generator_resubmit) { @@ -405,19 +405,19 @@ void TaskManager::SetupTaskEntryForResubmit(TaskEntry &task_entry) { rpc::TaskStatus::PENDING_ARGS_AVAIL, /* state_update */ std::nullopt, /* include_task_info */ true, - task_entry.spec.AttemptNumber() + 1); + task_entry.spec_.AttemptNumber() + 1); num_pending_tasks_++; // The task is pending again, so it's no longer counted as lineage. If // the task finishes and we still need the spec, we'll add the task back // to the footprint sum. - total_lineage_footprint_bytes_ -= task_entry.lineage_footprint_bytes; - task_entry.lineage_footprint_bytes = 0; + total_lineage_footprint_bytes_ -= task_entry.lineage_footprint_bytes_; + task_entry.lineage_footprint_bytes_ = 0; - if (task_entry.num_retries_left > 0) { - task_entry.num_retries_left--; + if (task_entry.num_retries_left_ > 0) { + task_entry.num_retries_left_--; } else { - RAY_CHECK(task_entry.num_retries_left == -1); + RAY_CHECK(task_entry.num_retries_left_ == -1); } } @@ -472,7 +472,7 @@ void TaskManager::MarkGeneratorFailedAndResubmit(const TaskID &task_id) { worker::TaskStatusEvent::TaskStateUpdate(error_info)); SetupTaskEntryForResubmit(task_entry); - spec = task_entry.spec; + spec = task_entry.spec_; } // Note: Don't need to call UpdateReferencesForResubmit because CompletePendingTask or @@ -619,7 +619,7 @@ Status TaskManager::TryReadObjectRefStream(const ObjectID &generator_id, absl::MutexLock lock(&mu_); auto it = submissible_tasks_.find(generator_id.TaskId()); if (it != submissible_tasks_.end()) { - backpressure_threshold = it->second.spec.GeneratorBackpressureNumObjects(); + backpressure_threshold = it->second.spec_.GeneratorBackpressureNumObjects(); } } @@ -770,8 +770,8 @@ bool TaskManager::HandleReportGeneratorItemReturns( absl::MutexLock lock(&mu_); auto it = submissible_tasks_.find(task_id); if (it != submissible_tasks_.end()) { - backpressure_threshold = it->second.spec.GeneratorBackpressureNumObjects(); - if (it->second.spec.AttemptNumber() > attempt_number) { + backpressure_threshold = it->second.spec_.GeneratorBackpressureNumObjects(); + if (it->second.spec_.AttemptNumber() > attempt_number) { // Generator task reports can arrive at any time. If the first attempt // fails, we may receive a report from the first executor after the // second attempt has started. In this case, we should ignore the first @@ -929,7 +929,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, auto it = submissible_tasks_.find(task_id); RAY_CHECK(it != submissible_tasks_.end()) << "Tried to complete task that was not pending " << task_id; - spec = it->second.spec; + spec = it->second.spec_; // Record any dynamically returned objects. We need to store these with the // task spec so that the worker will recreate them if the task gets @@ -942,7 +942,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, spec.AddDynamicReturnId(dynamic_return_id); } for (const auto &dynamic_return_id : dynamic_returns_in_plasma) { - it->second.reconstructable_return_ids.insert(dynamic_return_id); + it->second.reconstructable_return_ids_.insert(dynamic_return_id); } if (spec.IsStreamingGenerator()) { @@ -962,7 +962,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, // cause a memory leak of the task metadata, because we will // never receive a callback from the ReferenceCounter to erase // the task. - it->second.reconstructable_return_ids.insert( + it->second.reconstructable_return_ids_.insert( ObjectID::FromBinary(return_id_info.object_id())); } } @@ -975,14 +975,14 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, for (const auto &direct_return_id : direct_return_ids) { RAY_LOG(DEBUG) << "Task " << it->first << " returned direct object " << direct_return_id << ", now has " - << it->second.reconstructable_return_ids.size() + << it->second.reconstructable_return_ids_.size() << " plasma returns in scope"; - it->second.reconstructable_return_ids.erase(direct_return_id); + it->second.reconstructable_return_ids_.erase(direct_return_id); } RAY_LOG(DEBUG) << "Task " << it->first << " now has " - << it->second.reconstructable_return_ids.size() + << it->second.reconstructable_return_ids_.size() << " plasma returns in scope"; - it->second.num_successful_executions++; + it->second.num_successful_executions_++; if (is_application_error) { SetTaskStatus( @@ -998,13 +998,13 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, // A finished task can only be re-executed if it has some number of // retries left and returned at least one object that is still in use and // stored in plasma. - bool task_retryable = it->second.num_retries_left != 0 && - !it->second.reconstructable_return_ids.empty(); + bool task_retryable = it->second.num_retries_left_ != 0 && + !it->second.reconstructable_return_ids_.empty(); if (task_retryable) { // Pin the task spec if it may be retried again. release_lineage = false; - it->second.lineage_footprint_bytes = it->second.spec.GetMessage().ByteSizeLong(); - total_lineage_footprint_bytes_ += it->second.lineage_footprint_bytes; + it->second.lineage_footprint_bytes_ = it->second.spec_.GetMessage().ByteSizeLong(); + total_lineage_footprint_bytes_ += it->second.lineage_footprint_bytes_; if (total_lineage_footprint_bytes_ > max_lineage_bytes_) { RAY_LOG(INFO) << "Total lineage size is " << total_lineage_footprint_bytes_ / 1e6 << "MB, which exceeds the limit of " << max_lineage_bytes_ / 1e6 @@ -1074,13 +1074,13 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, auto &task_entry = it->second; RAY_CHECK(task_entry.IsPending()) << "Tried to retry task that was not pending " << task_id; - spec = task_entry.spec; - num_retries_left = task_entry.num_retries_left; - num_oom_retries_left = task_entry.num_oom_retries_left; + spec = task_entry.spec_; + num_retries_left = task_entry.num_retries_left_; + num_oom_retries_left = task_entry.num_oom_retries_left_; if (task_failed_due_to_oom) { if (num_oom_retries_left > 0) { will_retry = true; - task_entry.num_oom_retries_left--; + task_entry.num_oom_retries_left_--; } else if (num_oom_retries_left == -1) { will_retry = true; } else { @@ -1095,13 +1095,13 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, node_info->death_info().reason() == rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED; } - if (num_retries_left > 0 || (is_preempted && task_entry.spec.IsRetriable())) { + if (num_retries_left > 0 || (is_preempted && task_entry.spec_.IsRetriable())) { will_retry = true; if (is_preempted) { RAY_LOG(INFO) << "Task " << task_id << " failed due to node preemption on node " << task_entry.GetNodeId() << ", not counting against retries"; } else { - task_entry.num_retries_left--; + task_entry.num_retries_left_--; } } else if (num_retries_left == -1) { will_retry = true; @@ -1110,8 +1110,8 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, } } // Keep `num_retries_left` and `num_oom_retries_left` up to date - num_retries_left = task_entry.num_retries_left; - num_oom_retries_left = task_entry.num_oom_retries_left; + num_retries_left = task_entry.num_retries_left_; + num_oom_retries_left = task_entry.num_oom_retries_left_; if (will_retry) { // Record the old attempt status as FAILED. @@ -1125,7 +1125,7 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, rpc::TaskStatus::PENDING_ARGS_AVAIL, /* state_update */ std::nullopt, /* include_task_info */ true, - task_entry.spec.AttemptNumber() + 1); + task_entry.spec_.AttemptNumber() + 1); } } @@ -1185,8 +1185,8 @@ void TaskManager::FailPendingTask(const TaskID &task_id, } RAY_CHECK(it->second.IsPending()) << "Tried to fail task that was not pending " << task_id; - spec = it->second.spec; - if (it->second.is_canceled && error_type != rpc::ErrorType::TASK_CANCELLED) { + spec = it->second.spec_; + if (it->second.is_canceled_ && error_type != rpc::ErrorType::TASK_CANCELLED) { // If the task is marked as cancelled before reaching FailPendingTask (which is // essentially the final state of the task lifecycle), that failure reason takes // precedence. @@ -1352,36 +1352,36 @@ int64_t TaskManager::RemoveLineageReference(const ObjectID &object_id, } RAY_LOG(DEBUG) << "Plasma object " << object_id << " out of scope"; - for (const auto &plasma_id : it->second.reconstructable_return_ids) { + for (const auto &plasma_id : it->second.reconstructable_return_ids_) { RAY_LOG(DEBUG) << "Task " << task_id << " has " << plasma_id << " in scope"; } - it->second.reconstructable_return_ids.erase(object_id); + it->second.reconstructable_return_ids_.erase(object_id); RAY_LOG(DEBUG) << "Task " << task_id << " now has " - << it->second.reconstructable_return_ids.size() + << it->second.reconstructable_return_ids_.size() << " plasma returns in scope"; - if (it->second.reconstructable_return_ids.empty() && !it->second.IsPending()) { + if (it->second.reconstructable_return_ids_.empty() && !it->second.IsPending()) { // If the task can no longer be retried, decrement the lineage ref count // for each of the task's args. - for (size_t i = 0; i < it->second.spec.NumArgs(); i++) { - if (it->second.spec.ArgByRef(i)) { - released_objects->push_back(it->second.spec.ArgObjectId(i)); + for (size_t i = 0; i < it->second.spec_.NumArgs(); i++) { + if (it->second.spec_.ArgByRef(i)) { + released_objects->push_back(it->second.spec_.ArgObjectId(i)); } else { - const auto &inlined_refs = it->second.spec.ArgInlinedRefs(i); + const auto &inlined_refs = it->second.spec_.ArgInlinedRefs(i); for (const auto &inlined_ref : inlined_refs) { released_objects->push_back(ObjectID::FromBinary(inlined_ref.object_id())); } } } - if (it->second.spec.IsActorTask()) { + if (it->second.spec_.IsActorTask()) { // We need to decrement the actor lineage ref count here // since it's incremented during TaskManager::AddPendingTask. - const auto actor_creation_return_id = it->second.spec.ActorCreationDummyObjectId(); + const auto actor_creation_return_id = it->second.spec_.ActorCreationDummyObjectId(); released_objects->push_back(actor_creation_return_id); } - total_lineage_footprint_bytes_ -= it->second.lineage_footprint_bytes; + total_lineage_footprint_bytes_ -= it->second.lineage_footprint_bytes_; // The task has finished and none of the return IDs are in scope anymore, // so it is safe to remove the task spec. submissible_tasks_.erase(it); @@ -1404,10 +1404,10 @@ void TaskManager::MarkTaskNoRetryInternal(const TaskID &task_id, bool canceled) absl::MutexLock lock(&mu_); auto it = submissible_tasks_.find(task_id); if (it != submissible_tasks_.end()) { - it->second.num_retries_left = 0; - it->second.num_oom_retries_left = 0; + it->second.num_retries_left_ = 0; + it->second.num_oom_retries_left_ = 0; if (canceled) { - it->second.is_canceled = true; + it->second.is_canceled_ = true; } } } @@ -1432,9 +1432,9 @@ absl::flat_hash_set TaskManager::GetTaskReturnObjectsToStoreInPlasma( // from submissible_tasks_. Do nothing in this case. return {}; } - first_execution = it->second.num_successful_executions == 0; + first_execution = it->second.num_successful_executions_ == 0; if (!first_execution) { - store_in_plasma_ids = it->second.reconstructable_return_ids; + store_in_plasma_ids = it->second.reconstructable_return_ids_; } if (first_execution_out != nullptr) { *first_execution_out = first_execution; @@ -1502,7 +1502,7 @@ std::optional TaskManager::GetTaskSpec(const TaskID &task_id) if (it == submissible_tasks_.end()) { return std::optional(); } - return it->second.spec; + return it->second.spec_; } std::vector TaskManager::GetPendingChildrenTasks( @@ -1510,7 +1510,7 @@ std::vector TaskManager::GetPendingChildrenTasks( std::vector ret_vec; absl::MutexLock lock(&mu_); for (const auto &it : submissible_tasks_) { - if (it.second.IsPending() && (it.second.spec.ParentTaskId() == parent_task_id)) { + if (it.second.IsPending() && (it.second.spec_.ParentTaskId() == parent_task_id)) { ret_vec.push_back(it.first); } } @@ -1528,7 +1528,7 @@ void TaskManager::AddTaskStatusInfo(rpc::CoreWorkerStats *stats) const { continue; } ref->set_task_status(it->second.GetStatus()); - ref->set_attempt_number(it->second.spec.AttemptNumber()); + ref->set_attempt_number(it->second.spec_.AttemptNumber()); } } @@ -1568,19 +1568,19 @@ void TaskManager::SetTaskStatus( std::optional state_update, bool include_task_info, std::optional attempt_number) { - RAY_LOG(DEBUG).WithField(task_entry.spec.TaskId()) + RAY_LOG(DEBUG).WithField(task_entry.spec_.TaskId()) << "Setting task status from " << rpc::TaskStatus_Name(task_entry.GetStatus()) << " to " << rpc::TaskStatus_Name(status); task_entry.SetStatus(status); const int32_t attempt_number_to_record = - attempt_number.value_or(task_entry.spec.AttemptNumber()); + attempt_number.value_or(task_entry.spec_.AttemptNumber()); const auto state_update_to_record = state_update.value_or(worker::TaskStatusEvent::TaskStateUpdate()); - RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded(task_entry.spec.TaskId(), - task_entry.spec.JobId(), + RAY_UNUSED(task_event_buffer_.RecordTaskStatusEventIfNeeded(task_entry.spec_.TaskId(), + task_entry.spec_.JobId(), attempt_number_to_record, - task_entry.spec, + task_entry.spec_, status, include_task_info, state_update_to_record)); @@ -1597,19 +1597,19 @@ TaskManager::GetOngoingLineageReconstructionTasks( continue; } - if (task_entry.num_successful_executions == 0) { + if (task_entry.num_successful_executions_ == 0) { // Not lineage reconstruction task continue; } rpc::LineageReconstructionTask task; - task.set_name(task_entry.spec.GetName()); + task.set_name(task_entry.spec_.GetName()); task.set_status(task_entry.GetStatus()); - if (task_entry.spec.IsNormalTask()) { - task.mutable_labels()->insert(task_entry.spec.GetMessage().labels().begin(), - task_entry.spec.GetMessage().labels().end()); - } else if (task_entry.spec.IsActorTask()) { - auto actor_handle = actor_manager.GetActorHandle(task_entry.spec.ActorId()); + if (task_entry.spec_.IsNormalTask()) { + task.mutable_labels()->insert(task_entry.spec_.GetMessage().labels().begin(), + task_entry.spec_.GetMessage().labels().end()); + } else if (task_entry.spec_.IsActorTask()) { + auto actor_handle = actor_manager.GetActorHandle(task_entry.spec_.ActorId()); RAY_CHECK(actor_handle) << "Actor task must be submitted via actor handle"; const auto &labels = actor_handle->GetLabels(); task.mutable_labels()->insert(labels.begin(), labels.end()); @@ -1638,7 +1638,7 @@ void TaskManager::FillTaskInfo(rpc::GetCoreWorkerStatsReply *reply, const auto &task_entry = task_it.second; auto entry = reply->add_owned_task_info_entries(); - const auto &task_spec = task_entry.spec; + const auto &task_spec = task_entry.spec_; const auto &task_state = task_entry.GetStatus(); const auto &node_id = task_entry.GetNodeId(); rpc::TaskType type; @@ -1683,10 +1683,10 @@ ObjectID TaskManager::TaskGeneratorId(const TaskID &task_id) const { if (it == submissible_tasks_.end()) { return ObjectID::Nil(); } - if (!it->second.spec.ReturnsDynamic()) { + if (!it->second.spec_.ReturnsDynamic()) { return ObjectID::Nil(); } - return it->second.spec.ReturnId(0); + return it->second.spec_.ReturnId(0); } std::vector ExtractPlasmaDependencies(const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 25f5c90717c9..e8025bc0f7e5 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -501,41 +501,41 @@ class TaskManager : public TaskManagerInterface { private: struct TaskEntry { - TaskEntry(TaskSpecification spec_arg, - int num_retries_left_arg, + TaskEntry(TaskSpecification spec, + int num_retries_left, size_t num_returns, TaskStatusCounter &counter, int64_t num_oom_retries_left) - : spec(std::move(spec_arg)), - num_retries_left(num_retries_left_arg), - counter(&counter), - num_oom_retries_left(num_oom_retries_left), - is_canceled(false) { - reconstructable_return_ids.reserve(num_returns); + : spec_(std::move(spec)), + num_retries_left_(num_retries_left), + counter_(&counter), + num_oom_retries_left_(num_oom_retries_left), + is_canceled_(false) { + reconstructable_return_ids_.reserve(num_returns); for (size_t i = 0; i < num_returns; i++) { - reconstructable_return_ids.insert(spec.ReturnId(i)); + reconstructable_return_ids_.insert(spec_.ReturnId(i)); } - status = - std::make_tuple(spec.GetName(), rpc::TaskStatus::PENDING_ARGS_AVAIL, false); - counter.Increment(status); + status_ = + std::make_tuple(spec_.GetName(), rpc::TaskStatus::PENDING_ARGS_AVAIL, false); + counter_->Increment(status_); } void SetStatus(rpc::TaskStatus new_status) { - auto new_tuple = std::make_tuple(spec.GetName(), new_status, is_retry_); + auto new_tuple = std::make_tuple(spec_.GetName(), new_status, is_retry_); if (IsPending()) { - counter->Swap(status, new_tuple); + counter_->Swap(status_, new_tuple); } else { // FINISHED and FAILED are monotonically increasing. // TODO(jjyao): We should use Counter instead of Gauge // for FINISHED and FAILED tasks. - counter->Increment(new_tuple); + counter_->Increment(new_tuple); } - status = std::move(new_tuple); + status_ = std::move(new_tuple); } void MarkRetry() { is_retry_ = true; } - rpc::TaskStatus GetStatus() const { return std::get<1>(status); } + rpc::TaskStatus GetStatus() const { return std::get<1>(status_); } // Get the NodeID where the task is executed. NodeID GetNodeId() const { return node_id_; } @@ -555,25 +555,25 @@ class TaskManager : public TaskManagerInterface { /// - The task is still pending execution. This means that the task may /// fail and so it may be retried in the future. /// - The task finished execution, but it has num_retries_left > 0 and - /// reconstructable_return_ids is not empty. This means that the task may + /// reconstructable_return_ids_ is not empty. This means that the task may /// be retried in the future to recreate its return objects. /// TODO(swang): The TaskSpec protobuf must be copied into the /// PushTaskRequest protobuf when sent to a worker so that we can retry it if /// the worker fails. We could avoid this by either not caching the full /// TaskSpec for tasks that cannot be retried (e.g., actor tasks), or by /// storing a shared_ptr to a PushTaskRequest protobuf for all tasks. - TaskSpecification spec; + TaskSpecification spec_; // Number of times this task may be resubmitted. If this reaches 0, then // the task entry may be erased. - int32_t num_retries_left; + int32_t num_retries_left_; // Reference to the task stats tracker. - TaskStatusCounter *counter; + TaskStatusCounter *counter_; // Number of times this task may be resubmitted if the task failed // due to out of memory failure. - int32_t num_oom_retries_left; + int32_t num_oom_retries_left_; // Whether the task has been marked for cancellation. // Canceled tasks will never be retried. - bool is_canceled; + bool is_canceled_; // Objects returned by this task that are reconstructable. This is set // objects may be reconstructed by resubmitting the task. Once the task // finishes its first execution, then the objects that the task returned by @@ -584,18 +584,18 @@ class TaskManager : public TaskManagerInterface { // 2) There are no tasks that depend on the object. This includes both // pending tasks and tasks that finished execution but that may be // retried in the future. - absl::flat_hash_set reconstructable_return_ids; + absl::flat_hash_set reconstructable_return_ids_; // The size of this (serialized) task spec in bytes, if the task spec is // not pending, i.e. it is being pinned because it's in another object's // lineage. We cache this because the task spec protobuf can mutate // out-of-band. - int64_t lineage_footprint_bytes = 0; + int64_t lineage_footprint_bytes_ = 0; // Number of times this task successfully completed execution so far. - int num_successful_executions = 0; + int num_successful_executions_ = 0; private: // The task's current execution and metric status (name, status, is_retry). - std::tuple status; + std::tuple status_; // The node id where task is executed. NodeID node_id_; // Whether this is a task retry due to task failure. @@ -656,7 +656,7 @@ class TaskManager : public TaskManagerInterface { /// Shutdown if all tasks are finished and shutdown is scheduled. void ShutdownIfNeeded() ABSL_LOCKS_EXCLUDED(mu_); - /// Updates the task entry state (e.g. status, is_retry, lineage_footprint_bytes, + /// Updates the task entry state (e.g. status, is_retry, lineage_footprint_bytes_, /// num_retries_left) + related global task manager state. void SetupTaskEntryForResubmit(TaskEntry &task_entry) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 506f07feb3b3..33ece8caf203 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -35,8 +35,8 @@ void ActorTaskSubmitter::NotifyGCSWhenActorOutOfScope( { absl::MutexLock lock(&mu_); if (auto iter = client_queues_.find(actor_id); iter != client_queues_.end()) { - if (iter->second.state != rpc::ActorTableData::DEAD) { - iter->second.pending_out_of_scope_death = true; + if (iter->second.state_ != rpc::ActorTableData::DEAD) { + iter->second.pending_out_of_scope_death_ = true; } } } @@ -74,8 +74,7 @@ void ActorTaskSubmitter::AddActorQueueIfNotExists(const ActorID &actor_id, << "Set actor max pending calls to " << max_pending_calls; inserted = client_queues_ .emplace(actor_id, - ClientQueue(actor_id, - allow_out_of_order_execution, + ClientQueue(allow_out_of_order_execution, max_pending_calls, fail_if_actor_unreachable, owned)) @@ -91,9 +90,7 @@ void ActorTaskSubmitter::AddActorQueueIfNotExists(const ActorID &actor_id, Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) { RAY_CHECK(task_spec.IsActorCreationTask()); - const auto actor_id = task_spec.ActorCreationId(); - const auto task_id = task_spec.TaskId(); - RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) + RAY_LOG(DEBUG).WithField(task_spec.ActorCreationId()).WithField(task_spec.TaskId()) << "Submitting actor creation task"; resolver_.ResolveDependencies(task_spec, [this, task_spec](Status status) mutable { // NOTE: task_spec here is capture copied (from a stack variable) and also @@ -118,16 +115,17 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Creating actor via GCS"; actor_creator_.AsyncCreateActor( task_spec, - [this, actor_id, task_id](Status status, const rpc::CreateActorReply &reply) { - if (status.ok() || status.IsCreationTaskError()) { + [this, actor_id, task_id](Status create_actor_status, + const rpc::CreateActorReply &reply) { + if (create_actor_status.ok() || create_actor_status.IsCreationTaskError()) { rpc::PushTaskReply push_task_reply; push_task_reply.mutable_borrowed_refs()->CopyFrom(reply.borrowed_refs()); - if (status.IsCreationTaskError()) { + if (create_actor_status.IsCreationTaskError()) { RAY_LOG(INFO).WithField(actor_id).WithField(task_id) << "Actor creation failed and we will not be retrying the " "creation task"; // Update the task execution error to be CreationTaskError. - push_task_reply.set_task_execution_error(status.ToString()); + push_task_reply.set_task_execution_error(create_actor_status.ToString()); } else { RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Created actor"; } @@ -137,11 +135,11 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) task_id, push_task_reply, reply.actor_address(), - /*is_application_error=*/status.IsCreationTaskError()); + /*is_application_error=*/create_actor_status.IsCreationTaskError()); } else { // Either fails the rpc call or actor scheduling cancelled. rpc::RayErrorInfo ray_error_info; - if (status.IsSchedulingCancelled()) { + if (create_actor_status.IsSchedulingCancelled()) { RAY_LOG(DEBUG).WithField(actor_id).WithField(task_id) << "Actor creation cancelled"; task_manager_.MarkTaskNoRetry(task_id); @@ -150,7 +148,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) } } else { RAY_LOG(INFO).WithField(actor_id).WithField(task_id) - << "Failed to create actor with status: " << status; + << "Failed to create actor with status: " << create_actor_status; } // Actor creation task retry happens in GCS // and transient rpc errors are retried in gcs client @@ -158,7 +156,7 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) RAY_UNUSED(task_manager_.FailPendingTask( task_id, rpc::ErrorType::ACTOR_CREATION_FAILED, - &status, + &create_actor_status, ray_error_info.has_actor_died_error() ? &ray_error_info : nullptr)); } }); @@ -179,29 +177,27 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { absl::MutexLock lock(&mu_); auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - if (queue->second.state == rpc::ActorTableData::DEAD && - queue->second.is_restartable && queue->second.owned) { + if (queue->second.state_ == rpc::ActorTableData::DEAD && + queue->second.is_restartable_ && queue->second.owned_) { RestartActorForLineageReconstruction(actor_id); } - if (queue->second.state != rpc::ActorTableData::DEAD) { + if (queue->second.state_ != rpc::ActorTableData::DEAD) { // We must fix the send order prior to resolving dependencies, which may // complete out of order. This ensures that we will not deadlock due to // backpressure. The receiving actor will execute the tasks according to // this sequence number. send_pos = task_spec.SequenceNumber(); - queue->second.actor_submit_queue->Emplace(send_pos, task_spec); - queue->second.cur_pending_calls++; + queue->second.actor_submit_queue_->Emplace(send_pos, task_spec); + queue->second.cur_pending_calls_++; task_queued = true; } } if (task_queued) { io_service_.post( - [task_spec, send_pos, this]() mutable { + [task_spec, task_id, actor_id, send_pos, this]() mutable { // We must release the lock before resolving the task dependencies since // the callback may get called in the same call stack. - auto actor_id = task_spec.ActorId(); - auto task_id = task_spec.TaskId(); resolver_.ResolveDependencies( task_spec, [this, send_pos, actor_id, task_id](Status status) { task_manager_.MarkDependenciesResolved(task_id); @@ -210,7 +206,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { absl::MutexLock lock(&mu_); auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - auto &actor_submit_queue = queue->second.actor_submit_queue; + auto &actor_submit_queue = queue->second.actor_submit_queue_; // Only dispatch tasks if the submitted task is still queued. The task // may have been dequeued if the actor has since failed. if (actor_submit_queue->Contains(send_pos)) { @@ -239,7 +235,7 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { { absl::MutexLock lock(&mu_); const auto queue_it = client_queues_.find(task_spec.ActorId()); - const auto &death_cause = queue_it->second.death_cause; + const auto &death_cause = queue_it->second.death_cause_; error_info = gcs::GetErrorInfoFromActorDeathCause(death_cause); error_type = error_info.error_type(); } @@ -264,9 +260,9 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } void ActorTaskSubmitter::DisconnectRpcClient(ClientQueue &queue) { - queue.rpc_client = nullptr; - core_worker_client_pool_.Disconnect(WorkerID::FromBinary(queue.worker_id)); - queue.worker_id.clear(); + queue.rpc_client_ = nullptr; + core_worker_client_pool_.Disconnect(WorkerID::FromBinary(queue.worker_id_)); + queue.worker_id_.clear(); } void ActorTaskSubmitter::FailInflightTasksOnRestart( @@ -295,7 +291,7 @@ void ActorTaskSubmitter::ConnectActor(const ActorID &actor_id, auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - if (num_restarts < queue->second.num_restarts) { + if (num_restarts < queue->second.num_restarts_) { // This message is about an old version of the actor and the actor has // already restarted since then. Skip the connection. RAY_LOG(INFO).WithField(actor_id) @@ -303,32 +299,32 @@ void ActorTaskSubmitter::ConnectActor(const ActorID &actor_id, return; } - if (queue->second.rpc_client && - queue->second.rpc_client->Addr().ip_address() == address.ip_address() && - queue->second.rpc_client->Addr().port() == address.port()) { + if (queue->second.rpc_client_ && + queue->second.rpc_client_->Addr().ip_address() == address.ip_address() && + queue->second.rpc_client_->Addr().port() == address.port()) { RAY_LOG(DEBUG).WithField(actor_id) << "Skip actor that has already been connected"; return; } - if (queue->second.state == rpc::ActorTableData::DEAD) { + if (queue->second.state_ == rpc::ActorTableData::DEAD) { // This message is about an old version of the actor and the actor has // already died since then. Skip the connection. return; } - queue->second.num_restarts = num_restarts; - if (queue->second.rpc_client) { + queue->second.num_restarts_ = num_restarts; + if (queue->second.rpc_client_) { // Clear the client to the old version of the actor. DisconnectRpcClient(queue->second); - inflight_task_callbacks = std::move(queue->second.inflight_task_callbacks); - queue->second.inflight_task_callbacks.clear(); + inflight_task_callbacks = std::move(queue->second.inflight_task_callbacks_); + queue->second.inflight_task_callbacks_.clear(); } - queue->second.state = rpc::ActorTableData::ALIVE; + queue->second.state_ = rpc::ActorTableData::ALIVE; // Update the mapping so new RPCs go out with the right intended worker id. - queue->second.worker_id = address.worker_id(); + queue->second.worker_id_ = address.worker_id(); // Create a new connection to the actor. - queue->second.rpc_client = core_worker_client_pool_.GetOrConnect(address); + queue->second.rpc_client_ = core_worker_client_pool_.GetOrConnect(address); SendPendingTasks(actor_id); } @@ -341,17 +337,17 @@ void ActorTaskSubmitter::RestartActorForLineageReconstruction(const ActorID &act RAY_LOG(INFO).WithField(actor_id) << "Reconstructing actor"; auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - RAY_CHECK(queue->second.owned) << "Only owner can restart the dead actor"; - RAY_CHECK(queue->second.is_restartable) << "This actor is no longer restartable"; - queue->second.state = rpc::ActorTableData::RESTARTING; - queue->second.num_restarts_due_to_lineage_reconstructions += 1; + RAY_CHECK(queue->second.owned_) << "Only owner can restart the dead actor"; + RAY_CHECK(queue->second.is_restartable_) << "This actor is no longer restartable"; + queue->second.state_ = rpc::ActorTableData::RESTARTING; + queue->second.num_restarts_due_to_lineage_reconstructions_ += 1; actor_creator_.AsyncRestartActorForLineageReconstruction( actor_id, - queue->second.num_restarts_due_to_lineage_reconstructions, + queue->second.num_restarts_due_to_lineage_reconstructions_, [this, actor_id, num_restarts_due_to_lineage_reconstructions = - queue->second.num_restarts_due_to_lineage_reconstructions](Status status) { + queue->second.num_restarts_due_to_lineage_reconstructions_](Status status) { if (!status.ok()) { RAY_LOG(ERROR).WithField(actor_id) << "Failed to reconstruct actor. Error message: " << status.ToString(); @@ -382,7 +378,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, if (!dead) { RAY_CHECK_GT(num_restarts, 0); } - if (num_restarts <= queue->second.num_restarts && !dead) { + if (num_restarts <= queue->second.num_restarts_ && !dead) { // This message is about an old version of the actor that has already been // restarted successfully. Skip the message handling. RAY_LOG(INFO).WithField(actor_id) @@ -394,20 +390,20 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, // permanently dead or the new client will be inserted once the actor is // restarted. DisconnectRpcClient(queue->second); - inflight_task_callbacks = std::move(queue->second.inflight_task_callbacks); - queue->second.inflight_task_callbacks.clear(); + inflight_task_callbacks = std::move(queue->second.inflight_task_callbacks_); + queue->second.inflight_task_callbacks_.clear(); if (dead) { - queue->second.state = rpc::ActorTableData::DEAD; - queue->second.death_cause = death_cause; - queue->second.pending_out_of_scope_death = false; - queue->second.is_restartable = is_restartable; + queue->second.state_ = rpc::ActorTableData::DEAD; + queue->second.death_cause_ = death_cause; + queue->second.pending_out_of_scope_death_ = false; + queue->second.is_restartable_ = is_restartable; - if (queue->second.is_restartable && queue->second.owned) { + if (queue->second.is_restartable_ && queue->second.owned_) { // Actor is out of scope so there should be no inflight actor tasks. - RAY_CHECK(queue->second.wait_for_death_info_tasks.empty()); + RAY_CHECK(queue->second.wait_for_death_info_tasks_.empty()); RAY_CHECK(inflight_task_callbacks.empty()); - if (!queue->second.actor_submit_queue->Empty()) { + if (!queue->second.actor_submit_queue_->Empty()) { // There are pending lineage reconstruction tasks. RestartActorForLineageReconstruction(actor_id); } @@ -416,18 +412,18 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, RAY_LOG(INFO).WithField(actor_id) << "Failing pending tasks for actor because the actor is already dead."; - task_ids_to_fail = queue->second.actor_submit_queue->ClearAllTasks(); + task_ids_to_fail = queue->second.actor_submit_queue_->ClearAllTasks(); // We need to execute this outside of the lock to prevent deadlock. - wait_for_death_info_tasks = std::move(queue->second.wait_for_death_info_tasks); + wait_for_death_info_tasks = std::move(queue->second.wait_for_death_info_tasks_); // Reset the queue - queue->second.wait_for_death_info_tasks = + queue->second.wait_for_death_info_tasks_ = std::deque>(); } - } else if (queue->second.state != rpc::ActorTableData::DEAD) { + } else if (queue->second.state_ != rpc::ActorTableData::DEAD) { // Only update the actor's state if it is not permanently dead. The actor // will eventually get restarted or marked as permanently dead. - queue->second.state = rpc::ActorTableData::RESTARTING; - queue->second.num_restarts = num_restarts; + queue->second.state_ = rpc::ActorTableData::RESTARTING; + queue->second.num_restarts_ = num_restarts; } } @@ -461,7 +457,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, << wait_for_death_info_tasks.size(); for (auto &task : wait_for_death_info_tasks) { GetTaskManagerWithoutMu().FailPendingTask( - task->task_spec.TaskId(), error_type, &task->status, &error_info); + task->task_spec_.TaskId(), error_type, &task->status_, &error_info); } } } @@ -471,8 +467,8 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, void ActorTaskSubmitter::FailTaskWithError(const PendingTaskWaitingForDeathInfo &task) { rpc::RayErrorInfo error_info; - if (!task.actor_preempted) { - error_info = task.timeout_error_info; + if (!task.actor_preempted_) { + error_info = task.timeout_error_info_; } else { // Special error for preempted actor. The task "timed out" because the actor may // not have sent a notification to the gcs; regardless we already know it's @@ -480,7 +476,7 @@ void ActorTaskSubmitter::FailTaskWithError(const PendingTaskWaitingForDeathInfo auto actor_death_cause = error_info.mutable_actor_died_error(); auto actor_died_error_context = actor_death_cause->mutable_actor_died_error_context(); actor_died_error_context->set_reason(rpc::ActorDiedErrorContext::NODE_DIED); - actor_died_error_context->set_actor_id(task.task_spec.ActorId().Binary()); + actor_died_error_context->set_actor_id(task.task_spec_.ActorId().Binary()); auto node_death_info = actor_died_error_context->mutable_node_death_info(); node_death_info->set_reason(rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED); node_death_info->set_reason_message( @@ -489,7 +485,7 @@ void ActorTaskSubmitter::FailTaskWithError(const PendingTaskWaitingForDeathInfo error_info.set_error_message("Actor died by preemption."); } GetTaskManagerWithoutMu().FailPendingTask( - task.task_spec.TaskId(), error_info.error_type(), &task.status, &error_info); + task.task_spec_.TaskId(), error_info.error_type(), &task.status_, &error_info); } void ActorTaskSubmitter::CheckTimeoutTasks() { @@ -502,12 +498,12 @@ void ActorTaskSubmitter::CheckTimeoutTasks() { { absl::MutexLock lock(&mu_); for (auto &[actor_id, client_queue] : client_queues_) { - auto &deque = client_queue.wait_for_death_info_tasks; + auto &deque = client_queue.wait_for_death_info_tasks_; auto deque_itr = deque.begin(); - while (deque_itr != deque.end() && (*deque_itr)->deadline_ms < now) { + while (deque_itr != deque.end() && (*deque_itr)->deadline_ms_ < now) { // Populate the info of whether the actor is preempted. If so we hard fail the // task. - (*deque_itr)->actor_preempted = client_queue.preempted; + (*deque_itr)->actor_preempted_ = client_queue.preempted_; timeout_tasks.push_back(*deque_itr); deque_itr = deque.erase(deque_itr); } @@ -523,17 +519,17 @@ void ActorTaskSubmitter::SendPendingTasks(const ActorID &actor_id) { auto it = client_queues_.find(actor_id); RAY_CHECK(it != client_queues_.end()); auto &client_queue = it->second; - auto &actor_submit_queue = client_queue.actor_submit_queue; - if (client_queue.pending_out_of_scope_death) { + auto &actor_submit_queue = client_queue.actor_submit_queue_; + if (client_queue.pending_out_of_scope_death_) { // Wait until the actor is dead and then decide // whether we should fail pending tasks or restart the actor. // If the actor is restarted, ConnectActor will be called // and pending tasks will be sent at that time. return; } - if (!client_queue.rpc_client) { - if (client_queue.state == rpc::ActorTableData::RESTARTING && - client_queue.fail_if_actor_unreachable) { + if (!client_queue.rpc_client_) { + if (client_queue.state_ == rpc::ActorTableData::RESTARTING && + client_queue.fail_if_actor_unreachable_) { // When `fail_if_actor_unreachable` is true, tasks submitted while the actor is in // `RESTARTING` state fail immediately. while (true) { @@ -561,7 +557,7 @@ void ActorTaskSubmitter::SendPendingTasks(const ActorID &actor_id) { if (!task.has_value()) { break; } - RAY_CHECK(!client_queue.worker_id.empty()); + RAY_CHECK(!client_queue.worker_id_.empty()); PushActorTask(client_queue, /*task_spec=*/task->first, /*skip_queue=*/task->second); } } @@ -577,12 +573,12 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, // access the task. request->mutable_task_spec()->CopyFrom(task_spec.GetMessage()); - request->set_intended_worker_id(queue.worker_id); + request->set_intended_worker_id(queue.worker_id_); request->set_sequence_number(task_spec.SequenceNumber()); const auto actor_id = task_spec.ActorId(); - const auto num_queued = queue.inflight_task_callbacks.size(); + const auto num_queued = queue.inflight_task_callbacks_.size(); RAY_LOG(DEBUG).WithField(task_id).WithField(actor_id) << "Pushing task to actor, actor id " << actor_id << " seq no " << request->sequence_number() << " num queued " << num_queued; @@ -592,38 +588,38 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, next_queueing_warn_threshold_ *= 2; } - rpc::Address addr(queue.rpc_client->Addr()); + rpc::Address addr(queue.rpc_client_->Addr()); rpc::ClientCallback reply_callback = [this, addr, task_spec](const Status &status, const rpc::PushTaskReply &reply) { HandlePushTaskReply(status, reply, addr, task_spec); }; const TaskAttempt task_attempt = std::make_pair(task_id, task_spec.AttemptNumber()); - queue.inflight_task_callbacks.emplace(task_attempt, std::move(reply_callback)); + queue.inflight_task_callbacks_.emplace(task_attempt, std::move(reply_callback)); rpc::ClientCallback wrapped_callback = [this, task_attempt, actor_id](const Status &status, rpc::PushTaskReply &&reply) { - rpc::ClientCallback reply_callback; + rpc::ClientCallback push_task_reply_callback; { absl::MutexLock lock(&mu_); auto it = client_queues_.find(actor_id); RAY_CHECK(it != client_queues_.end()); - auto &queue = it->second; - auto callback_it = queue.inflight_task_callbacks.find(task_attempt); - if (callback_it == queue.inflight_task_callbacks.end()) { + auto &client_queue = it->second; + auto callback_it = client_queue.inflight_task_callbacks_.find(task_attempt); + if (callback_it == client_queue.inflight_task_callbacks_.end()) { RAY_LOG(DEBUG).WithField(task_attempt.first) << "The task has already been marked as failed. Ignore the reply."; return; } - reply_callback = std::move(callback_it->second); - queue.inflight_task_callbacks.erase(callback_it); + push_task_reply_callback = std::move(callback_it->second); + client_queue.inflight_task_callbacks_.erase(callback_it); } - reply_callback(status, std::move(reply)); + push_task_reply_callback(status, std::move(reply)); }; task_manager_.MarkTaskWaitingForExecution(task_id, NodeID::FromBinary(addr.node_id()), WorkerID::FromBinary(addr.worker_id())); - queue.rpc_client->PushActorTask( + queue.rpc_client_->PushActorTask( std::move(request), skip_queue, std::move(wrapped_callback)); } @@ -644,7 +640,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto queue_pair = client_queues_.find(actor_id); RAY_CHECK(queue_pair != client_queues_.end()); auto &queue = queue_pair->second; - queue.cur_pending_calls--; + queue.cur_pending_calls_--; } } if (resubmit_generator) { @@ -697,9 +693,9 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // - If we did not get the death reason: raise ACTOR_UNAVAILABLE with the status. // - If we did not get the death reason, but *the actor is preempted*: raise // ACTOR_DIED. See `CheckTimeoutTasks`. - is_actor_dead = queue.state == rpc::ActorTableData::DEAD; + is_actor_dead = queue.state_ == rpc::ActorTableData::DEAD; if (is_actor_dead) { - const auto &death_cause = queue.death_cause; + const auto &death_cause = queue.death_cause_; error_info = gcs::GetErrorInfoFromActorDeathCause(death_cause); fail_immediately = error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && @@ -745,14 +741,14 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto queue_pair = client_queues_.find(actor_id); RAY_CHECK(queue_pair != client_queues_.end()); auto &queue = queue_pair->second; - queue.wait_for_death_info_tasks.push_back( + queue.wait_for_death_info_tasks_.push_back( std::make_shared( death_info_grace_period_ms, task_spec, status, error_info)); RAY_LOG(INFO).WithField(task_spec.TaskId()) << "PushActorTask failed because of network error, this task " "will be stashed away and waiting for Death info from GCS" ", wait_queue_size=" - << queue.wait_for_death_info_tasks.size(); + << queue.wait_for_death_info_tasks_.size(); } else { // TODO(vitsai): if we don't need death info, just fail the request. { @@ -770,7 +766,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto queue_pair = client_queues_.find(actor_id); RAY_CHECK(queue_pair != client_queues_.end()); auto &queue = queue_pair->second; - queue.cur_pending_calls--; + queue.cur_pending_calls_--; } } @@ -782,7 +778,7 @@ std::optional ActorTaskSubmitter::GetLocalActor if (iter == client_queues_.end()) { return std::nullopt; } else { - return iter->second.state; + return iter->second.state_; } } @@ -790,7 +786,7 @@ bool ActorTaskSubmitter::IsActorAlive(const ActorID &actor_id) const { absl::MutexLock lock(&mu_); auto iter = client_queues_.find(actor_id); - return (iter != client_queues_.end() && iter->second.rpc_client); + return (iter != client_queues_.end() && iter->second.rpc_client_); } std::optional ActorTaskSubmitter::GetActorAddress( @@ -802,27 +798,27 @@ std::optional ActorTaskSubmitter::GetActorAddress( return std::nullopt; } - const auto &rpc_client = iter->second.rpc_client; + const auto &rpc_client = iter->second.rpc_client_; if (rpc_client == nullptr) { return std::nullopt; } - return iter->second.rpc_client->Addr(); + return iter->second.rpc_client_->Addr(); } bool ActorTaskSubmitter::PendingTasksFull(const ActorID &actor_id) const { absl::MutexLock lock(&mu_); auto it = client_queues_.find(actor_id); RAY_CHECK(it != client_queues_.end()); - return it->second.max_pending_calls > 0 && - it->second.cur_pending_calls >= it->second.max_pending_calls; + return it->second.max_pending_calls_ > 0 && + it->second.cur_pending_calls_ >= it->second.max_pending_calls_; } size_t ActorTaskSubmitter::NumPendingTasks(const ActorID &actor_id) const { absl::MutexLock lock(&mu_); auto it = client_queues_.find(actor_id); RAY_CHECK(it != client_queues_.end()); - return it->second.cur_pending_calls; + return it->second.cur_pending_calls_; } bool ActorTaskSubmitter::CheckActorExists(const ActorID &actor_id) const { @@ -886,17 +882,17 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - if (queue->second.state == rpc::ActorTableData::DEAD) { + if (queue->second.state_ == rpc::ActorTableData::DEAD) { // No need to decrement cur_pending_calls because it doesn't matter. RAY_LOG(DEBUG).WithField(task_id) << "Task's actor is already dead. Ignoring the cancel request."; return Status::OK(); } - task_queued = queue->second.actor_submit_queue->Contains(send_pos); + task_queued = queue->second.actor_submit_queue_->Contains(send_pos); if (task_queued) { auto dep_resolved = - queue->second.actor_submit_queue->DependenciesResolved(send_pos); + queue->second.actor_submit_queue_->DependenciesResolved(send_pos); if (!dep_resolved) { RAY_LOG(DEBUG).WithField(task_id) << "Task has been resolving dependencies. Cancel to resolve dependencies"; @@ -904,7 +900,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv } RAY_LOG(DEBUG).WithField(task_id) << "Task was queued. Mark a task is canceled from a queue."; - queue->second.actor_submit_queue->MarkTaskCanceled(send_pos); + queue->second.actor_submit_queue_->MarkTaskCanceled(send_pos); } } @@ -936,12 +932,12 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv RAY_LOG(DEBUG).WithField(task_id) << "Task was sent to an actor. Send a cancel RPC."; auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - if (!queue->second.rpc_client) { + if (!queue->second.rpc_client_) { RetryCancelTask(task_spec, recursive, 1000); return Status::OK(); } - const auto &client = queue->second.rpc_client; + const auto &client = queue->second.rpc_client_; auto request = rpc::CancelTaskRequest(); request.set_intended_task_id(task_spec.TaskIdBinary()); request.set_force_kill(force_kill); diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index 1d699bd3c8ca..160ad7487a6a 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -91,7 +91,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { void SetPreempted(const ActorID &actor_id) { absl::MutexLock lock(&mu_); if (auto iter = client_queues_.find(actor_id); iter != client_queues_.end()) { - iter->second.preempted = true; + iter->second.preempted_ = true; } } @@ -252,20 +252,20 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { private: struct PendingTaskWaitingForDeathInfo { - int64_t deadline_ms; - TaskSpecification task_spec; - ray::Status status; - rpc::RayErrorInfo timeout_error_info; - bool actor_preempted = false; + int64_t deadline_ms_; + TaskSpecification task_spec_; + ray::Status status_; + rpc::RayErrorInfo timeout_error_info_; + bool actor_preempted_ = false; PendingTaskWaitingForDeathInfo(int64_t deadline_ms, TaskSpecification task_spec, ray::Status status, rpc::RayErrorInfo timeout_error_info) - : deadline_ms(deadline_ms), - task_spec(std::move(task_spec)), - status(std::move(status)), - timeout_error_info(std::move(timeout_error_info)) {} + : deadline_ms_(deadline_ms), + task_spec_(std::move(task_spec)), + status_(std::move(status)), + timeout_error_info_(std::move(timeout_error_info)) {} }; /// A helper function to get task manager without holding mu_ /// We should use this function when access @@ -277,50 +277,49 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { } struct ClientQueue { - ClientQueue(ActorID actor_id, - bool allow_out_of_order_execution, + ClientQueue(bool allow_out_of_order_execution, int32_t max_pending_calls, bool fail_if_actor_unreachable, bool owned) - : max_pending_calls(max_pending_calls), - fail_if_actor_unreachable(fail_if_actor_unreachable), - owned(owned) { + : max_pending_calls_(max_pending_calls), + fail_if_actor_unreachable_(fail_if_actor_unreachable), + owned_(owned) { if (allow_out_of_order_execution) { - actor_submit_queue = std::make_unique(actor_id); + actor_submit_queue_ = std::make_unique(); } else { - actor_submit_queue = std::make_unique(actor_id); + actor_submit_queue_ = std::make_unique(); } } /// The current state of the actor. If this is ALIVE, then we should have /// an RPC client to the actor. If this is DEAD, then all tasks in the /// queue will be marked failed and all other ClientQueue state is ignored. - rpc::ActorTableData::ActorState state = rpc::ActorTableData::DEPENDENCIES_UNREADY; + rpc::ActorTableData::ActorState state_ = rpc::ActorTableData::DEPENDENCIES_UNREADY; /// The reason why this actor is dead. /// If the context is not set, it means the actor is not dead. - rpc::ActorDeathCause death_cause; + rpc::ActorDeathCause death_cause_; /// How many times this actor has been restarted before. Starts at -1 to /// indicate that the actor is not yet created. This is used to drop stale /// messages from the GCS. - int64_t num_restarts = -1; + int64_t num_restarts_ = -1; /// How many times this actor has been lineage reconstructured. /// This is used to drop stale messages. - int64_t num_restarts_due_to_lineage_reconstructions = 0; + int64_t num_restarts_due_to_lineage_reconstructions_ = 0; /// Whether this actor exits by spot preemption. - bool preempted = false; + bool preempted_ = false; /// The RPC client. We use shared_ptr to enable shared_from_this for /// pending client callbacks. - std::shared_ptr rpc_client = nullptr; + std::shared_ptr rpc_client_ = nullptr; /// The intended worker ID of the actor. - std::string worker_id = ""; + std::string worker_id_ = ""; /// The actor is out of scope but the death info is not published /// to this worker yet. - bool pending_out_of_scope_death = false; + bool pending_out_of_scope_death_ = false; /// If the actor is dead, whether it can be restarted. - bool is_restartable = false; + bool is_restartable_ = false; /// The queue that orders actor requests. - std::unique_ptr actor_submit_queue; + std::unique_ptr actor_submit_queue_; /// Tasks that can't be sent because 1) the callee actor is dead. 2) network error. /// For 1) the task will wait for the DEAD state notification, then mark task as @@ -336,34 +335,35 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// `timeout_error_info`. One special case is when the actor is preempted, where /// the actor may not be dead *just yet* but we want to treat it as dead. In this /// case we hard code an error info. - std::deque> wait_for_death_info_tasks; + std::deque> + wait_for_death_info_tasks_; /// Stores all callbacks of inflight tasks. An actor task is inflight /// if the PushTask RPC is sent but the reply is not received yet. absl::flat_hash_map> - inflight_task_callbacks; + inflight_task_callbacks_; /// The max number limit of task capacity used for back pressure. /// If the number of tasks in requests >= max_pending_calls, it can't continue to /// push task to ClientQueue. - const int32_t max_pending_calls; + const int32_t max_pending_calls_; /// The current task number in this client queue. - int32_t cur_pending_calls = 0; + int32_t cur_pending_calls_ = 0; /// Whether to fail newly submitted tasks immediately when the actor is unreachable. - bool fail_if_actor_unreachable = true; + bool fail_if_actor_unreachable_ = true; /// Whether the current process is owner of the actor. - bool owned; + bool owned_; /// Returns debug string for class. /// /// \return string. std::string DebugString() const { std::ostringstream stream; - stream << "max_pending_calls=" << max_pending_calls - << " cur_pending_calls=" << cur_pending_calls; + stream << "max_pending_calls=" << max_pending_calls_ + << " cur_pending_calls=" << cur_pending_calls_; return stream.str(); } }; diff --git a/src/ray/core_worker/task_submission/dependency_resolver.cc b/src/ray/core_worker/task_submission/dependency_resolver.cc index a9600f535465..e11b0c95645e 100644 --- a/src/ray/core_worker/task_submission/dependency_resolver.cc +++ b/src/ray/core_worker/task_submission/dependency_resolver.cc @@ -165,7 +165,7 @@ void LocalDependencyResolver::ResolveDependencies( contained_ids); } if (resolved_task_state) { - resolved_task_state->on_dependencies_resolved(resolved_task_state->status); + resolved_task_state->on_dependencies_resolved_(resolved_task_state->status); } }); } @@ -195,7 +195,7 @@ void LocalDependencyResolver::ResolveDependencies( } if (resolved_task_state) { - resolved_task_state->on_dependencies_resolved(resolved_task_state->status); + resolved_task_state->on_dependencies_resolved_(resolved_task_state->status); } }); } diff --git a/src/ray/core_worker/task_submission/dependency_resolver.h b/src/ray/core_worker/task_submission/dependency_resolver.h index 2d9624144017..aa625ba9a266 100644 --- a/src/ray/core_worker/task_submission/dependency_resolver.h +++ b/src/ray/core_worker/task_submission/dependency_resolver.h @@ -79,7 +79,7 @@ class LocalDependencyResolver { : task(std::move(t)), actor_dependencies_remaining(actor_ids.size()), status(Status::OK()), - on_dependencies_resolved(std::move(on_dependencies_resolved)) { + on_dependencies_resolved_(std::move(on_dependencies_resolved)) { local_dependencies.reserve(deps.size()); for (const auto &dep : deps) { local_dependencies.emplace(dep, /*ray_object=*/nullptr); @@ -97,7 +97,7 @@ class LocalDependencyResolver { size_t obj_dependencies_remaining; /// Dependency resolution status. Status status; - std::function on_dependencies_resolved; + std::function on_dependencies_resolved_; }; /// The in-memory store. diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 16bb82b9e69a..ad7619849889 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -342,9 +342,10 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli { absl::MutexLock lock(&mu_); - auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; - auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(raylet_address); - scheduling_key_entry.pending_lease_requests.erase(task_id); + auto &sched_entry = scheduling_key_entries_[scheduling_key]; + auto raylet_lease_client = + raylet_client_pool_->GetOrConnectByAddress(raylet_address); + sched_entry.pending_lease_requests.erase(task_id); if (status.ok()) { if (reply.canceled()) { @@ -387,9 +388,9 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli ", task_name=", task_name)); - tasks_to_fail = std::move(scheduling_key_entry.task_queue); - scheduling_key_entry.task_queue.clear(); - if (scheduling_key_entry.CanDelete()) { + tasks_to_fail = std::move(sched_entry.task_queue); + sched_entry.task_queue.clear(); + if (sched_entry.CanDelete()) { scheduling_key_entries_.erase(scheduling_key); } } else { @@ -412,11 +413,11 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << WorkerID::FromBinary(reply.worker_address().worker_id()); AddWorkerLeaseClient(reply.worker_address(), - std::move(raylet_client), + std::move(raylet_lease_client), reply.resource_mapping(), scheduling_key, task_id); - RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); + RAY_CHECK(sched_entry.active_workers.size() >= 1); OnWorkerIdle(reply.worker_address(), scheduling_key, /*was_error=*/false, @@ -472,9 +473,9 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << "because the raylet is " "unavailable (crashed)."; error_info.set_error_message(ss.str()); - tasks_to_fail = std::move(scheduling_key_entry.task_queue); - scheduling_key_entry.task_queue.clear(); - if (scheduling_key_entry.CanDelete()) { + tasks_to_fail = std::move(sched_entry.task_queue); + sched_entry.task_queue.clear(); + if (sched_entry.CanDelete()) { scheduling_key_entries_.erase(scheduling_key); } } else { @@ -574,7 +575,7 @@ void NormalTaskSubmitter::PushNormalTask( addr, get_task_failure_cause_reply_status, get_task_failure_cause_reply); - absl::MutexLock lock(&mu_); + absl::MutexLock task_submission_state_lock(&mu_); if (!will_retry) { // Task submission and task cancellation are the only two other code // paths that clean up the cancelled_tasks_ map. If the task is not diff --git a/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc index 75afa6274b71..61541d513624 100644 --- a/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc +++ b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.cc @@ -20,8 +20,7 @@ namespace ray { namespace core { -OutofOrderActorSubmitQueue::OutofOrderActorSubmitQueue(ActorID actor_id) - : kActorId(actor_id) {} +OutofOrderActorSubmitQueue::OutofOrderActorSubmitQueue() {} void OutofOrderActorSubmitQueue::Emplace(uint64_t position, const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h index 26284014a300..3af1acba54d4 100644 --- a/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h +++ b/src/ray/core_worker/task_submission/out_of_order_actor_submit_queue.h @@ -34,7 +34,7 @@ namespace core { */ class OutofOrderActorSubmitQueue : public IActorSubmitQueue { public: - explicit OutofOrderActorSubmitQueue(ActorID actor_id); + OutofOrderActorSubmitQueue(); /// Add a task into the queue. void Emplace(uint64_t position, const TaskSpecification &spec) override; /// If a task exists. @@ -60,7 +60,6 @@ class OutofOrderActorSubmitQueue : public IActorSubmitQueue { bool Empty() override; private: - ActorID kActorId; absl::btree_map> pending_queue_; absl::btree_map> sending_queue_; }; diff --git a/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc index dc81606fd79f..773df5c22f6b 100644 --- a/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc +++ b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.cc @@ -19,8 +19,7 @@ namespace ray { namespace core { -SequentialActorSubmitQueue::SequentialActorSubmitQueue(ActorID actor_id) - : actor_id(actor_id) {} +SequentialActorSubmitQueue::SequentialActorSubmitQueue() {} void SequentialActorSubmitQueue::Emplace(uint64_t sequence_no, const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h index a971bdd9125a..f54c7f9a75be 100644 --- a/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h +++ b/src/ray/core_worker/task_submission/sequential_actor_submit_queue.h @@ -31,7 +31,7 @@ namespace core { */ class SequentialActorSubmitQueue : public IActorSubmitQueue { public: - explicit SequentialActorSubmitQueue(ActorID actor_id); + SequentialActorSubmitQueue(); /// Add a task into the queue. void Emplace(uint64_t sequence_no, const TaskSpecification &task_spec) override; /// If a task exists. @@ -57,9 +57,6 @@ class SequentialActorSubmitQueue : public IActorSubmitQueue { bool Empty() override; private: - /// The ID of the actor. - ActorID actor_id; - /// The actor's pending requests, ordered by the sequence number in the request. /// The bool indicates whether the dependencies for that task have been resolved yet. /// A task will be sent after its dependencies are resolved. diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 6aad5b7fc53a..09874520b038 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -816,8 +816,8 @@ TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { ASSERT_TRUE(submitter_.PendingTasksFull(actor_id)); // All the replies comes, the queue shouble be empty. - for (auto &task : tasks) { - ASSERT_TRUE(worker_client_->ReplyPushTask(task.GetTaskAttempt(), Status::OK())); + for (auto &task_spec : tasks) { + ASSERT_TRUE(worker_client_->ReplyPushTask(task_spec.GetTaskAttempt(), Status::OK())); } ASSERT_FALSE(submitter_.PendingTasksFull(actor_id)); } diff --git a/src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc b/src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc index eabbab200fa0..bbaefd7b780f 100644 --- a/src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc +++ b/src/ray/core_worker/task_submission/tests/out_of_order_actor_submit_queue_test.cc @@ -35,7 +35,7 @@ TaskSpecification BuildTaskSpec(uint64_t seq) { } // namespace TEST(OutofOrderActorSubmitQueueTest, PassThroughTest) { - OutofOrderActorSubmitQueue queue(ActorID{}); + OutofOrderActorSubmitQueue queue; // insert request 0 1 2 3 4 std::vector task_ids; for (uint64_t i = 0; i < 5; i++) { diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index 7616e6dac332..d117bed1560a 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -437,12 +437,12 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { task_event->ToRpcRayEvents(ray_events_pair); auto [task_definition_event, task_execution_event] = ray_events_pair; if (task_definition_event) { - auto event = expected_ray_events_data.add_events(); - *event = std::move(task_definition_event.value()); + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_definition_event.value()); } if (task_execution_event) { - auto event = expected_ray_events_data.add_events(); - *event = std::move(task_execution_event.value()); + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_execution_event.value()); } } @@ -752,12 +752,12 @@ TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, event->ToRpcRayEvents(ray_events_pair); auto [task_definition_event, task_execution_event] = ray_events_pair; if (task_definition_event) { - auto event = expected_ray_events_data.add_events(); - *event = std::move(task_definition_event.value()); + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_definition_event.value()); } if (task_execution_event) { - auto event = expected_ray_events_data.add_events(); - *event = std::move(task_execution_event.value()); + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_execution_event.value()); } } diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index da8142a4d4fb..1656f86eabdf 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -71,14 +71,15 @@ Status JobInfoAccessor::AsyncSubscribeAll( const SubscribeCallback &subscribe, const StatusCallback &done) { RAY_CHECK(subscribe != nullptr); - fetch_all_data_operation_ = [this, subscribe](const StatusCallback &done) { - auto callback = [subscribe, done](const Status &status, - std::vector &&job_info_list) { + fetch_all_data_operation_ = [this, subscribe](const StatusCallback &done_callback) { + auto callback = [subscribe, done_callback]( + const Status &status, + std::vector &&job_info_list) { for (auto &job_info : job_info_list) { subscribe(JobID::FromBinary(job_info.job_id()), std::move(job_info)); } - if (done) { - done(status); + if (done_callback) { + done_callback(status); } }; AsyncGetAll(/*job_or_submission_id=*/std::nullopt, @@ -87,8 +88,8 @@ Status JobInfoAccessor::AsyncSubscribeAll( callback, /*timeout_ms=*/-1); }; - subscribe_operation_ = [this, subscribe](const StatusCallback &done) { - return client_impl_->GetGcsSubscriber().SubscribeAllJobs(subscribe, done); + subscribe_operation_ = [this, subscribe](const StatusCallback &done_callback) { + return client_impl_->GetGcsSubscriber().SubscribeAllJobs(subscribe, done_callback); }; return subscribe_operation_( [this, done](const Status &status) { fetch_all_data_operation_(done); }); @@ -438,9 +439,9 @@ void ActorInfoAccessor::AsyncResubscribe() { // server first, then fetch data from the GCS server. absl::MutexLock lock(&mutex_); for (auto &[actor_id, resubscribe_op] : resubscribe_operations_) { - RAY_CHECK_OK(resubscribe_op([this, actor_id = actor_id](const Status &status) { - absl::MutexLock lock(&mutex_); - auto fetch_data_operation = fetch_data_operations_[actor_id]; + RAY_CHECK_OK(resubscribe_op([this, id = actor_id](const Status &status) { + absl::MutexLock callback_lock(&mutex_); + auto fetch_data_operation = fetch_data_operations_[id]; // `fetch_data_operation` is called in the callback function of subscribe. // Before that, if the user calls `AsyncUnsubscribe` function, the corresponding // fetch function will be deleted, so we need to check if it's null. @@ -633,15 +634,15 @@ void NodeInfoAccessor::AsyncSubscribeToNodeChange( node_change_callback_ = std::move(subscribe); RAY_CHECK(node_change_callback_ != nullptr); - fetch_node_data_operation_ = [this](const StatusCallback &done) { + fetch_node_data_operation_ = [this](const StatusCallback &done_callback) { AsyncGetAll( - [this, done](const Status &status, - std::vector &&node_info_list) { + [this, done_callback](const Status &status, + std::vector &&node_info_list) { for (auto &node_info : node_info_list) { HandleNotification(std::move(node_info)); } - if (done) { - done(status); + if (done_callback) { + done_callback(status); } }, /*timeout_ms=*/-1); @@ -890,8 +891,9 @@ WorkerInfoAccessor::WorkerInfoAccessor(GcsClient *client_impl) Status WorkerInfoAccessor::AsyncSubscribeToWorkerFailures( const ItemCallback &subscribe, const StatusCallback &done) { RAY_CHECK(subscribe != nullptr); - subscribe_operation_ = [this, subscribe](const StatusCallback &done) { - return client_impl_->GetGcsSubscriber().SubscribeAllWorkerFailures(subscribe, done); + subscribe_operation_ = [this, subscribe](const StatusCallback &done_callback) { + return client_impl_->GetGcsSubscriber().SubscribeAllWorkerFailures(subscribe, + done_callback); }; return subscribe_operation_(done); } @@ -1429,7 +1431,6 @@ void AutoscalerStateAccessor::AsyncGetClusterStatus( int64_t timeout_ms, const OptionalItemCallback &callback) { rpc::autoscaler::GetClusterStatusRequest request; - rpc::autoscaler::GetClusterStatusRequest reply; client_impl_->GetGcsRpcClient().GetClusterStatus( request, [callback](const Status &status, rpc::autoscaler::GetClusterStatusReply &&reply) { diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index bc84131b6c95..a895bbb13ad0 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -404,15 +404,15 @@ void GcsActorManager::HandleRegisterActor(rpc::RegisterActorRequest request, RAY_LOG(INFO).WithField(actor_id.JobId()).WithField(actor_id) << "Registering actor"; Status status = RegisterActor( - request, [reply, send_reply_callback, actor_id](const Status &status) { - if (status.ok()) { + request, [reply, send_reply_callback, actor_id](const Status ®ister_status) { + if (register_status.ok()) { RAY_LOG(INFO).WithField(actor_id.JobId()).WithField(actor_id) << "Registered actor"; } else { RAY_LOG(WARNING).WithField(actor_id.JobId()).WithField(actor_id) - << "Failed to register actor: " << status.ToString(); + << "Failed to register actor: " << register_status.ToString(); } - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, register_status); }); if (!status.ok()) { RAY_LOG(WARNING).WithField(actor_id.JobId()).WithField(actor_id) @@ -498,12 +498,15 @@ void GcsActorManager::HandleRestartActorForLineageReconstruction( // should overwrite the actor state to DEAD to avoid race condition. return; } - auto iter = actor_to_restart_for_lineage_reconstruction_callbacks_.find( - actor->GetActorID()); - RAY_CHECK(iter != actor_to_restart_for_lineage_reconstruction_callbacks_.end() && - !iter->second.empty()); - auto callbacks = std::move(iter->second); - actor_to_restart_for_lineage_reconstruction_callbacks_.erase(iter); + auto restart_callback_iter = + actor_to_restart_for_lineage_reconstruction_callbacks_.find( + actor->GetActorID()); + RAY_CHECK(restart_callback_iter != + actor_to_restart_for_lineage_reconstruction_callbacks_.end() && + !restart_callback_iter->second.empty()); + auto callbacks = std::move(restart_callback_iter->second); + actor_to_restart_for_lineage_reconstruction_callbacks_.erase( + restart_callback_iter); for (auto &callback : callbacks) { callback(actor); } @@ -840,11 +843,11 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( actor->GetActorID(), *actor->GetMutableActorTableData(), - {[this, actor](Status status) { + {[this, actor](Status put_status) { RAY_CHECK(thread_checker_.IsOnSameThread()); // The backend storage is supposed to be reliable, so the status must be // ok. - RAY_CHECK_OK(status); + RAY_CHECK_OK(put_status); actor->WriteActorExportEvent(); auto registered_actor_it = registered_actors_.find(actor->GetActorID()); auto callback_iter = @@ -1033,12 +1036,12 @@ void GcsActorManager::PollOwnerForActorRefDeleted( auto client = worker_client_pool_.GetOrConnect(actor->GetOwnerAddress()); it = workers.emplace(owner_id, Owner(std::move(client))).first; } - it->second.children_actor_ids.insert(actor_id); + it->second.children_actor_ids_.insert(actor_id); rpc::WaitForActorRefDeletedRequest wait_request; wait_request.set_intended_worker_id(owner_id.Binary()); wait_request.set_actor_id(actor_id.Binary()); - it->second.client->WaitForActorRefDeleted( + it->second.client_->WaitForActorRefDeleted( wait_request, [this, owner_node_id, owner_id, actor_id]( Status status, const rpc::WaitForActorRefDeletedReply &reply) { @@ -1253,7 +1256,7 @@ void GcsActorManager::OnWorkerDead(const ray::NodeID &node_id, auto owner = it->second.find(worker_id); // Make a copy of the children actor IDs since we will delete from the // list. - const auto children_ids = owner->second.children_actor_ids; + const auto children_ids = owner->second.children_actor_ids_; for (const auto &child_id : children_ids) { DestroyActor(child_id, GenOwnerDiedCause(GetActor(child_id), @@ -1327,7 +1330,7 @@ void GcsActorManager::OnNodeDead(std::shared_ptr node, absl::flat_hash_map children_ids; // Make a copy of all the actor IDs owned by workers on the dead node. for (const auto &owner : it->second) { - for (const auto &child_id : owner.second.children_actor_ids) { + for (const auto &child_id : owner.second.children_actor_ids_) { children_ids.emplace(owner.first, child_id); } } @@ -1768,8 +1771,8 @@ void GcsActorManager::RemoveActorFromOwner(const std::shared_ptr &acto auto worker_it = node.find(owner_id); RAY_CHECK(worker_it != node.end()); auto &owner = worker_it->second; - RAY_CHECK(owner.children_actor_ids.erase(actor_id)); - if (owner.children_actor_ids.empty()) { + RAY_CHECK(owner.children_actor_ids_.erase(actor_id)); + if (owner.children_actor_ids_.empty()) { node.erase(worker_it); if (node.empty()) { owners_.erase(owner_node_id); @@ -1899,8 +1902,8 @@ bool GcsActorManager::RemovePendingActor(std::shared_ptr actor) { const auto &actor_id = actor->GetActorID(); auto pending_it = std::find_if(pending_actors_.begin(), pending_actors_.end(), - [actor_id](const std::shared_ptr &actor) { - return actor->GetActorID() == actor_id; + [actor_id](const std::shared_ptr &this_actor) { + return this_actor->GetActorID() == actor_id; }); // The actor was pending scheduling. Remove it from the queue. diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 263683ece7ab..69a06df1f6cc 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -525,11 +525,11 @@ class GcsActorManager : public rpc::ActorInfoHandler { /// A data structure representing an actor's owner. struct Owner { explicit Owner(std::shared_ptr client) - : client(std::move(client)) {} + : client_(std::move(client)) {} /// A client that can be used to contact the owner. - std::shared_ptr client; + std::shared_ptr client_; /// The IDs of actors owned by this worker. - absl::flat_hash_set children_actor_ids; + absl::flat_hash_set children_actor_ids_; }; /// Poll an actor's owner so that we will receive a notification when the diff --git a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc b/src/ray/gcs/gcs_server/gcs_health_check_manager.cc index 239a18c2aa4c..109a313d5394 100644 --- a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_health_check_manager.cc @@ -173,8 +173,8 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { response_ptr, [this, start = now, context = std::move(context), response = std::move(response)]( ::grpc::Status status) { - auto manager = manager_.lock(); - if (manager == nullptr) { + auto gcs_health_check_manager = manager_.lock(); + if (gcs_health_check_manager == nullptr) { delete this; return; } @@ -183,14 +183,14 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { STATS_health_check_rpc_latency_ms.Record( absl::ToInt64Milliseconds(absl::Now() - start)); - manager->io_service_.post( + gcs_health_check_manager->io_service_.post( [this, status, response = std::move(response)]() { if (stopped_) { delete this; return; } - auto manager = manager_.lock(); - if (manager == nullptr) { + auto mgr = manager_.lock(); + if (mgr == nullptr) { delete this; return; } @@ -201,7 +201,7 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { if (status.ok() && response->status() == HealthCheckResponse::SERVING) { // Health check passed. - health_check_remaining_ = manager->failure_threshold_; + health_check_remaining_ = mgr->failure_threshold_; } else { --health_check_remaining_; RAY_LOG(WARNING) @@ -213,15 +213,14 @@ void GcsHealthCheckManager::HealthCheckContext::StartHealthCheck() { } if (health_check_remaining_ == 0) { - manager->FailNode(node_id_); + mgr->FailNode(node_id_); delete this; } else { // Do another health check. // // TODO(hjiang): Able to reduce a few health check based on know resource // usage communication between GCS and raylet. - timer_.expires_from_now( - boost::posix_time::milliseconds(manager->period_ms_)); + timer_.expires_from_now(boost::posix_time::milliseconds(mgr->period_ms_)); timer_.async_wait([this](auto) { StartHealthCheck(); }); } }, diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 3b42b2119db2..a807da1d5ee6 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -190,11 +190,11 @@ void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, Status status = gcs_table_storage_.JobTable().Get( job_id, - {[this, job_id, send_reply](Status status, + {[this, job_id, send_reply](Status get_status, std::optional result) { RAY_CHECK(thread_checker_.IsOnSameThread()); - if (status.ok() && result) { + if (get_status.ok() && result) { MarkJobAsFinished(*result, send_reply); return; } @@ -202,11 +202,11 @@ void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, if (!result.has_value()) { RAY_LOG(ERROR).WithField(job_id) << "Tried to mark job as finished, but no job table entry was found."; - } else if (!status.ok()) { + } else if (!get_status.ok()) { RAY_LOG(ERROR).WithField(job_id) - << "Failed to mark job as finished: " << status; + << "Failed to mark job as finished: " << get_status; } - send_reply(status); + send_reply(get_status); }, io_context_}); if (!status.ok()) { @@ -414,8 +414,8 @@ void GcsJobManager::HandleGetAllJobInfo(rpc::GetAllJobInfoRequest request, send_reply_callback, job_data_key_to_indices, num_finished_tasks, - try_send_reply](const auto &result) { - for (const auto &data : result) { + try_send_reply](const auto &job_info_result) { + for (const auto &data : job_info_result) { const std::string &job_data_key = data.first; // The JobInfo stored by the Ray Job API. const std::string &job_info_json = data.second; @@ -430,8 +430,8 @@ void GcsJobManager::HandleGetAllJobInfo(rpc::GetAllJobInfoRequest request, << job_info_json << " Error: " << status.message(); } // Add the JobInfo to the correct indices in the reply. - for (int i : job_data_key_to_indices.at(job_data_key)) { - reply->mutable_job_info_list(i)->mutable_job_info()->CopyFrom( + for (int j : job_data_key_to_indices.at(job_data_key)) { + reply->mutable_job_info_list(j)->mutable_job_info()->CopyFrom( jobs_api_info); } } diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc index 9e9694801586..71b200e2cd7c 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc @@ -270,11 +270,12 @@ void GcsPlacementGroupManager::RegisterPlacementGroup( // The backend storage is supposed to be reliable, so the status must be ok. RAY_CHECK_OK(status); if (registered_placement_groups_.contains(placement_group_id)) { - auto iter = placement_group_to_register_callbacks_.find(placement_group_id); - auto callbacks = std::move(iter->second); - placement_group_to_register_callbacks_.erase(iter); - for (const auto &callback : callbacks) { - callback(status); + auto register_callback_iter = + placement_group_to_register_callbacks_.find(placement_group_id); + auto callbacks = std::move(register_callback_iter->second); + placement_group_to_register_callbacks_.erase(register_callback_iter); + for (const auto ®ister_callback : callbacks) { + register_callback(status); } SchedulePendingPlacementGroups(); } else { @@ -442,14 +443,14 @@ void GcsPlacementGroupManager::SchedulePendingPlacementGroups() { gcs_placement_group_scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ /*placement_group=*/placement_group, /*failure_callback=*/ - [this, backoff](std::shared_ptr placement_group, + [this, backoff](std::shared_ptr failure_placement_group, bool is_feasible) { OnPlacementGroupCreationFailed( - std::move(placement_group), backoff, is_feasible); + std::move(failure_placement_group), backoff, is_feasible); }, /*success_callback=*/ - [this](std::shared_ptr placement_group) { - OnPlacementGroupCreationSuccess(placement_group); + [this](std::shared_ptr success_placement_group) { + OnPlacementGroupCreationSuccess(success_placement_group); }}); is_new_placement_group_scheduled = true; } @@ -550,8 +551,9 @@ void GcsPlacementGroupManager::RemovePlacementGroup( auto pending_it = std::find_if( infeasible_placement_groups_.begin(), infeasible_placement_groups_.end(), - [placement_group_id](const std::shared_ptr &placement_group) { - return placement_group->GetPlacementGroupID() == placement_group_id; + [placement_group_id]( + const std::shared_ptr &this_placement_group) { + return this_placement_group->GetPlacementGroupID() == placement_group_id; }); if (pending_it != infeasible_placement_groups_.end()) { // The placement group is infeasible now, remove it from the queue. @@ -1020,13 +1022,14 @@ void GcsPlacementGroupManager::Initialize(const GcsInitData &gcs_init_data) { prepared_pgs.emplace_back(SchedulePgRequest{ placement_group, /*failure_callback=*/ - [this](std::shared_ptr placement_group, bool is_feasible) { + [this](std::shared_ptr failure_placement_group, + bool is_feasible) { OnPlacementGroupCreationFailed( - std::move(placement_group), CreateDefaultBackoff(), is_feasible); + std::move(failure_placement_group), CreateDefaultBackoff(), is_feasible); }, /*success_callback=*/ - [this](std::shared_ptr placement_group) { - OnPlacementGroupCreationSuccess(placement_group); + [this](std::shared_ptr success_placement_group) { + OnPlacementGroupCreationSuccess(success_placement_group); }, }); } diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 44afef0fb65a..65402804ed86 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -187,7 +187,7 @@ void GcsServer::GetOrGenerateClusterId( {[this, continuation = std::move(continuation)]( std::optional provided_cluster_id) mutable { if (!provided_cluster_id.has_value()) { - instrumented_io_context &io_context = continuation.io_context(); + instrumented_io_context &io_ctx = continuation.io_context(); ClusterID cluster_id = ClusterID::FromRandom(); RAY_LOG(INFO).WithField(cluster_id) << "Generated new cluster ID."; kv_manager_->GetInstance().Put( @@ -202,7 +202,7 @@ void GcsServer::GetOrGenerateClusterId( .Dispatch("GcsServer.GetOrGenerateClusterId.continuation", cluster_id); }, - io_context}); + io_ctx}); } else { ClusterID cluster_id = ClusterID::FromBinary(provided_cluster_id.value()); RAY_LOG(INFO).WithField(cluster_id) diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.cc b/src/ray/gcs/gcs_server/gcs_table_storage.cc index 49c0b7ca87df..c3bd5d226ae7 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.cc +++ b/src/ray/gcs/gcs_server/gcs_table_storage.cc @@ -52,16 +52,16 @@ Status GcsTable::Get(const Key &key, Postable)> callback) { // We can't use TransformArg here because we need to return 2 arguments. return store_client_->AsyncGet( - table_name_, key.Binary(), std::move(callback).Rebind([](auto callback) { - return [callback = std::move(callback)](Status status, - std::optional result) { + table_name_, key.Binary(), std::move(callback).Rebind([](auto async_get_callback) { + return [cb = std::move(async_get_callback)](Status status, + std::optional result) { std::optional value; if (result) { Data data; data.ParseFromString(*result); value = std::move(data); } - callback(status, std::move(value)); + cb(status, std::move(value)); }; })); } diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 80f423f8ffb0..e639ac58fc4c 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -1164,12 +1164,13 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { create_actor_request.mutable_task_spec()->CopyFrom( registered_actor->GetCreationTaskSpecification().GetMessage()); std::vector> finished_actors; - Status status = gcs_actor_manager_->CreateActor( + Status create_status = gcs_actor_manager_->CreateActor( create_actor_request, [&finished_actors](const std::shared_ptr &actor, const rpc::PushTaskReply &reply, const Status &status) { finished_actors.emplace_back(actor); }); + ASSERT_TRUE(create_status.ok()); auto actor = mock_actor_scheduler_->actors.back(); mock_actor_scheduler_->actors.pop_back(); @@ -1187,9 +1188,9 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { auto request1 = Mocker::GenRegisterActorRequest(job_id_other, /*max_restarts=*/0, /*detached=*/false); - Status status = - gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); - ASSERT_TRUE(status.ok()); + Status register_status = + gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); + ASSERT_TRUE(register_status.ok()); io_service_.run_one(); } diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h index c350f54a3d9d..43c2bb1a163d 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -132,7 +132,7 @@ struct GcsServerMocker { } bool GrantWorkerLease() { - return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id, NodeID::Nil()); + return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id_, NodeID::Nil()); } bool GrantWorkerLease(const std::string &address, @@ -299,7 +299,7 @@ struct GcsServerMocker { int num_leases_canceled = 0; int num_release_unused_workers = 0; int num_get_task_failure_causes = 0; - NodeID node_id = NodeID::FromRandom(); + NodeID node_id_ = NodeID::FromRandom(); std::list> drain_raylet_callbacks = {}; std::list> callbacks = {}; std::list> cancel_callbacks = {}; diff --git a/src/ray/gcs/store_client/redis_store_client.cc b/src/ray/gcs/store_client/redis_store_client.cc index 7fe2065478e9..2be5d86ee10f 100644 --- a/src/ray/gcs/store_client/redis_store_client.cc +++ b/src/ray/gcs/store_client/redis_store_client.cc @@ -427,9 +427,9 @@ void RedisStoreClient::RedisScanner::Scan() { // Scan by prefix from Redis. RedisCommand command = {"HSCAN", redis_key_, {std::to_string(cursor_.value())}}; - if (match_pattern_.escaped != "*") { + if (match_pattern_.escaped_ != "*") { command.args.push_back("MATCH"); - command.args.push_back(match_pattern_.escaped); + command.args.push_back(match_pattern_.escaped_); } command.args.push_back("COUNT"); command.args.push_back(std::to_string(batch_count)); @@ -567,7 +567,7 @@ bool RedisDelKeyPrefixSync(const std::string &host, // Delete all such keys by using empty table name. RedisKey redis_key{external_storage_namespace, /*table_name=*/""}; std::vector cmd{"KEYS", - RedisMatchPattern::Prefix(redis_key.ToString()).escaped}; + RedisMatchPattern::Prefix(redis_key.ToString()).escaped_}; std::promise> promise; context->RunArgvAsync(cmd, [&promise](const std::shared_ptr &reply) { promise.set_value(reply); @@ -581,12 +581,12 @@ bool RedisDelKeyPrefixSync(const std::string &host, } auto delete_one_sync = [&context](const std::string &key) { auto del_cmd = std::vector{"DEL", key}; - std::promise> promise; + std::promise> prom; context->RunArgvAsync(del_cmd, - [&promise](const std::shared_ptr &reply) { - promise.set_value(reply); + [&prom](const std::shared_ptr &callback_reply) { + prom.set_value(callback_reply); }); - auto del_reply = promise.get_future().get(); + auto del_reply = prom.get_future().get(); return del_reply->ReadAsInteger() > 0; }; size_t num_deleted = 0; diff --git a/src/ray/gcs/store_client/redis_store_client.h b/src/ray/gcs/store_client/redis_store_client.h index 241488fe7702..ec7b5535b3b5 100644 --- a/src/ray/gcs/store_client/redis_store_client.h +++ b/src/ray/gcs/store_client/redis_store_client.h @@ -49,10 +49,10 @@ struct RedisMatchPattern { static const RedisMatchPattern kAny("*"); return kAny; } - const std::string escaped; + const std::string escaped_; private: - explicit RedisMatchPattern(std::string escaped) : escaped(std::move(escaped)) {} + explicit RedisMatchPattern(std::string escaped) : escaped_(std::move(escaped)) {} }; struct RedisCommand { diff --git a/src/ray/ipc/client_connection.cc b/src/ray/ipc/client_connection.cc index 87be9cb3e0af..31b3df2c8b87 100644 --- a/src/ray/ipc/client_connection.cc +++ b/src/ray/ipc/client_connection.cc @@ -249,8 +249,8 @@ void ServerConnection::DoAsyncWrites() { } // Helper function to call all handlers with the input status. - auto call_handlers = [this](const ray::Status &status, int num_messages) { - for (int i = 0; i < num_messages; i++) { + auto call_handlers = [this](const ray::Status &status, int num_msgs) { + for (int i = 0; i < num_msgs; i++) { auto write_buffer = std::move(async_write_queue_.front()); write_buffer->handler(status); async_write_queue_.pop_front(); diff --git a/src/ray/object_manager/object_buffer_pool.cc b/src/ray/object_manager/object_buffer_pool.cc index e5f55b2266bf..00dcbe2b8564 100644 --- a/src/ray/object_manager/object_buffer_pool.cc +++ b/src/ray/object_manager/object_buffer_pool.cc @@ -107,14 +107,14 @@ ray::Status ObjectBufferPool::CreateChunk(const ObjectID &object_id, RAY_RETURN_NOT_OK(EnsureBufferExists( object_id, owner_address, data_size, metadata_size, chunk_index)); auto &state = create_buffer_state_.at(object_id); - if (chunk_index >= state.chunk_state.size()) { + if (chunk_index >= state.chunk_state_.size()) { return ray::Status::IOError("Object size mismatch"); } - if (state.chunk_state[chunk_index] != CreateChunkState::AVAILABLE) { + if (state.chunk_state_[chunk_index] != CreateChunkState::AVAILABLE) { // There can be only one reference to this chunk at any given time. return ray::Status::IOError("Chunk already received by a different thread."); } - state.chunk_state[chunk_index] = CreateChunkState::REFERENCED; + state.chunk_state_[chunk_index] = CreateChunkState::REFERENCED; return ray::Status::OK(); } @@ -128,35 +128,36 @@ void ObjectBufferPool::WriteChunk(const ObjectID &object_id, absl::MutexLock lock(&pool_mutex_); auto it = create_buffer_state_.find(object_id); if (it == create_buffer_state_.end() || - chunk_index >= it->second.chunk_state.size() || - it->second.chunk_state.at(chunk_index) != CreateChunkState::REFERENCED) { + chunk_index >= it->second.chunk_state_.size() || + it->second.chunk_state_.at(chunk_index) != CreateChunkState::REFERENCED) { RAY_LOG(DEBUG) << "Object " << object_id << " aborted before chunk " << chunk_index << " could be sealed"; return; } - if (it->second.data_size != data_size || it->second.metadata_size != metadata_size) { + if (it->second.data_size_ != data_size || + it->second.metadata_size_ != metadata_size) { RAY_LOG(DEBUG) << "Object " << object_id << " size mismatch, rejecting chunk"; return; } - RAY_CHECK(it->second.chunk_info.size() > chunk_index); + RAY_CHECK(it->second.chunk_info_.size() > chunk_index); - chunk_info = it->second.chunk_info.at(chunk_index); - RAY_CHECK(data.size() == chunk_info->buffer_length) + chunk_info = it->second.chunk_info_.at(chunk_index); + RAY_CHECK(data.size() == chunk_info->buffer_length_) << "size mismatch! data size: " << data.size() - << " chunk size: " << chunk_info->buffer_length; + << " chunk size: " << chunk_info->buffer_length_; // Update the state from REFERENCED To SEALED before releasing the lock to ensure // that no other thread sees a REFERENCED state. - it->second.chunk_state.at(chunk_index) = CreateChunkState::SEALED; + it->second.chunk_state_.at(chunk_index) = CreateChunkState::SEALED; // Increment the number of inflight copies to ensure Abort // does not release the buffer. - it->second.num_inflight_copies++; + it->second.num_inflight_copies_++; } RAY_CHECK(chunk_info.has_value()) << "chunk_info is not set"; // The num_inflight_copies is used to ensure that another thread cannot call Release // on the object_id, which makes the unguarded copy call safe. - std::memcpy(chunk_info->data, data.data(), chunk_info->buffer_length); + std::memcpy(chunk_info->data_, data.data(), chunk_info->buffer_length_); { // Ensure the process of object_id Seal and Release is mutex guarded. @@ -165,9 +166,9 @@ void ObjectBufferPool::WriteChunk(const ObjectID &object_id, // Abort cannot be called during inflight copy operations. RAY_CHECK(it != create_buffer_state_.end()); // Decrement the number of inflight copies to ensure Abort can release the buffer. - it->second.num_inflight_copies--; - it->second.num_seals_remaining--; - if (it->second.num_seals_remaining == 0) { + it->second.num_inflight_copies_--; + it->second.num_seals_remaining_--; + if (it->second.num_seals_remaining_ == 0) { RAY_CHECK_OK(store_client_->Seal(object_id)); RAY_CHECK_OK(store_client_->Release(object_id)); create_buffer_state_.erase(it); @@ -186,7 +187,7 @@ void ObjectBufferPool::AbortCreateInternal(const ObjectID &object_id) { auto no_copy_inflight = [this, object_id]() { pool_mutex_.AssertReaderHeld(); auto it = create_buffer_state_.find(object_id); - return it == create_buffer_state_.end() || it->second.num_inflight_copies == 0; + return it == create_buffer_state_.end() || it->second.num_inflight_copies_ == 0; }; pool_mutex_.Await(absl::Condition(&no_copy_inflight)); @@ -230,8 +231,8 @@ ray::Status ObjectBufferPool::EnsureBufferExists(const ObjectID &object_id, // Buffer for object_id already exists and the size matches ours. { auto it = create_buffer_state_.find(object_id); - if (it != create_buffer_state_.end() && it->second.data_size == data_size && - it->second.metadata_size == metadata_size) { + if (it != create_buffer_state_.end() && it->second.data_size_ == data_size && + it->second.metadata_size_ == metadata_size) { return ray::Status::OK(); } } @@ -258,10 +259,10 @@ ray::Status ObjectBufferPool::EnsureBufferExists(const ObjectID &object_id, { auto it = create_buffer_state_.find(object_id); if (it != create_buffer_state_.end()) { - RAY_CHECK(it->second.data_size != data_size || - it->second.metadata_size != metadata_size); + RAY_CHECK(it->second.data_size_ != data_size || + it->second.metadata_size_ != metadata_size); RAY_LOG(WARNING) << "Object " << object_id << " size (" << data_size - << ") differs from the original (" << it->second.data_size + << ") differs from the original (" << it->second.data_size_ << "). This is likely due to re-execution of a task with a " "nondeterministic output. Recreating object with size " << data_size << "."; @@ -317,7 +318,7 @@ ray::Status ObjectBufferPool::EnsureBufferExists(const ObjectID &object_id, std::forward_as_tuple(metadata_size, data_size, BuildChunks(object_id, mutable_data, data_size, data))); - RAY_CHECK(inserted.first->second.chunk_info.size() == num_chunks); + RAY_CHECK(inserted.first->second.chunk_info_.size() == num_chunks); RAY_LOG(DEBUG) << "Created object " << object_id << " in plasma store, number of chunks: " << num_chunks << ", chunk index: " << chunk_index; diff --git a/src/ray/object_manager/object_buffer_pool.h b/src/ray/object_manager/object_buffer_pool.h index 6951e7ff01fd..1a5345520120 100644 --- a/src/ray/object_manager/object_buffer_pool.h +++ b/src/ray/object_manager/object_buffer_pool.h @@ -39,18 +39,18 @@ class ObjectBufferPool { uint8_t *data, uint64_t buffer_length, std::shared_ptr buffer_ref) - : chunk_index(chunk_index), - data(data), - buffer_length(buffer_length), - buffer_ref(buffer_ref){}; + : chunk_index_(chunk_index), + data_(data), + buffer_length_(buffer_length), + buffer_ref_(buffer_ref){}; /// The index of this object chunk within the object, starting with 0. - uint64_t chunk_index; + uint64_t chunk_index_; /// A pointer to the start position of this object chunk. - uint8_t *data; + uint8_t *data_; /// The size of this object chunk. - uint64_t buffer_length; + uint64_t buffer_length_; /// A shared reference to the underlying buffer, keeping it alive. - std::shared_ptr buffer_ref; + std::shared_ptr buffer_ref_; }; /// Constructor. @@ -174,25 +174,25 @@ class ObjectBufferPool { CreateBufferState(uint64_t metadata_size, uint64_t data_size, std::vector chunk_info) - : metadata_size(metadata_size), - data_size(data_size), - chunk_info(chunk_info), - chunk_state(chunk_info.size(), CreateChunkState::AVAILABLE), - num_seals_remaining(chunk_info.size()) {} + : metadata_size_(metadata_size), + data_size_(data_size), + chunk_info_(chunk_info), + chunk_state_(chunk_info.size(), CreateChunkState::AVAILABLE), + num_seals_remaining_(chunk_info.size()) {} /// Total size of the object metadata. - uint64_t metadata_size; + uint64_t metadata_size_; /// Total size of the object data. - uint64_t data_size; + uint64_t data_size_; /// A vector maintaining information about the chunks which comprise /// an object. - std::vector chunk_info; + std::vector chunk_info_; /// The state of each chunk, which is used to enforce strict state /// transitions of each chunk. - std::vector chunk_state; + std::vector chunk_state_; /// The number of chunks left to seal before the buffer is sealed. - uint64_t num_seals_remaining; + uint64_t num_seals_remaining_; /// The number of inflight copy operations. - uint64_t num_inflight_copies = 0; + uint64_t num_inflight_copies_ = 0; }; /// Returned when GetChunk or CreateChunk fails. diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 62fa2d51b2d0..53b18b32d11c 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -833,7 +833,8 @@ void ObjectManager::Tick(const boost::system::error_code &e) { auto interval = boost::posix_time::milliseconds(config_.timer_freq_ms); pull_retry_timer_.expires_from_now(interval); - pull_retry_timer_.async_wait([this](const boost::system::error_code &e) { Tick(e); }); + pull_retry_timer_.async_wait( + [this](const boost::system::error_code &err) { Tick(err); }); } } // namespace ray diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 0abe8b4edd8e..a7046463e700 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -345,25 +345,25 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( auto failure_callback = [this, owner_address](const std::string &object_id_binary, const Status &status) { - const auto object_id = ObjectID::FromBinary(object_id_binary); + const auto obj_id = ObjectID::FromBinary(object_id_binary); rpc::WorkerObjectLocationsPubMessage location_info; if (!status.ok()) { - RAY_LOG(INFO).WithField(object_id) + RAY_LOG(INFO).WithField(obj_id) << "Failed to get the location: " << status.ToString(); - mark_as_failed_(object_id, rpc::ErrorType::OWNER_DIED); + mark_as_failed_(obj_id, rpc::ErrorType::OWNER_DIED); } else { // Owner is still alive but published a failure because the ref was // deleted. - RAY_LOG(INFO).WithField(object_id) + RAY_LOG(INFO).WithField(obj_id) << "Failed to get the location for object, already released by distributed " "reference counting protocol"; - mark_as_failed_(object_id, rpc::ErrorType::OBJECT_DELETED); + mark_as_failed_(obj_id, rpc::ErrorType::OBJECT_DELETED); } // Location lookup can fail if the owner is reachable but no longer has a // record of this ObjectRef, most likely due to an issue with the // distributed reference counting protocol. ObjectLocationSubscriptionCallback(location_info, - object_id, + obj_id, /*location_lookup_failed*/ true); }; diff --git a/src/ray/object_manager/plasma/common.h b/src/ray/object_manager/plasma/common.h index a9f2128a01e2..3796905b5d72 100644 --- a/src/ray/object_manager/plasma/common.h +++ b/src/ray/object_manager/plasma/common.h @@ -58,19 +58,19 @@ inline constexpr std::string_view kCorruptedRequestErrorMessage = // Represents a chunk of allocated memory. struct Allocation { /// Pointer to the allocated memory. - void *address; + void *address_; /// Num bytes of the allocated memory. - int64_t size; + int64_t size_; /// The file descriptor of the memory mapped file where the memory allocated. - MEMFD_TYPE fd; + MEMFD_TYPE fd_; /// The offset in bytes in the memory mapped file of the allocated memory. - ptrdiff_t offset; + ptrdiff_t offset_; /// Device number of the allocated memory. - int device_num; + int device_num_; /// the total size of this mapped memory. - int64_t mmap_size; + int64_t mmap_size_; /// if it was fallback allocated. - bool fallback_allocated; + bool fallback_allocated_; // only allow moves. RAY_DISALLOW_COPY_AND_ASSIGN(Allocation); @@ -86,23 +86,23 @@ struct Allocation { int device_num, int64_t mmap_size, bool fallback_allocated) - : address(address), - size(size), - fd(std::move(fd)), - offset(offset), - device_num(device_num), - mmap_size(mmap_size), - fallback_allocated(fallback_allocated) {} + : address_(address), + size_(size), + fd_(std::move(fd)), + offset_(offset), + device_num_(device_num), + mmap_size_(mmap_size), + fallback_allocated_(fallback_allocated) {} // Test only Allocation() - : address(nullptr), - size(0), - fd(), - offset(0), - device_num(0), - mmap_size(0), - fallback_allocated(false) {} + : address_(nullptr), + size_(0), + fd_(), + offset_(0), + device_num_(0), + mmap_size_(0), + fallback_allocated_(false) {} friend class PlasmaAllocator; friend class DummyAllocator; @@ -120,21 +120,21 @@ class LocalObject { RAY_DISALLOW_COPY_AND_ASSIGN(LocalObject); - int64_t GetObjectSize() const { return object_info.GetObjectSize(); } + int64_t GetObjectSize() const { return object_info_.GetObjectSize(); } - bool Sealed() const { return state == ObjectState::PLASMA_SEALED; } + bool Sealed() const { return state_ == ObjectState::PLASMA_SEALED; } - int32_t GetRefCount() const { return ref_count; } + int32_t GetRefCount() const { return ref_count_; } - const ray::ObjectInfo &GetObjectInfo() const { return object_info; } + const ray::ObjectInfo &GetObjectInfo() const { return object_info_; } - const Allocation &GetAllocation() const { return allocation; } + const Allocation &GetAllocation() const { return allocation_; } - const plasma::flatbuf::ObjectSource &GetSource() const { return source; } + const plasma::flatbuf::ObjectSource &GetSource() const { return source_; } ray::PlasmaObjectHeader *GetPlasmaObjectHeader() const { - RAY_CHECK(object_info.is_mutable) << "Object is not mutable"; - auto header_ptr = static_cast(allocation.address); + RAY_CHECK(object_info_.is_mutable) << "Object is not mutable"; + auto header_ptr = static_cast(allocation_.address_); return reinterpret_cast(header_ptr); } @@ -143,11 +143,11 @@ class LocalObject { if (check_sealed) { RAY_DCHECK(Sealed()); } - object->store_fd = GetAllocation().fd; - object->header_offset = GetAllocation().offset; - object->data_offset = GetAllocation().offset; - object->metadata_offset = GetAllocation().offset + GetObjectInfo().data_size; - if (object_info.is_mutable) { + object->store_fd = GetAllocation().fd_; + object->header_offset = GetAllocation().offset_; + object->data_offset = GetAllocation().offset_; + object->metadata_offset = GetAllocation().offset_ + GetObjectInfo().data_size; + if (object_info_.is_mutable) { object->data_offset += sizeof(ray::PlasmaObjectHeader); object->metadata_offset += sizeof(ray::PlasmaObjectHeader); }; @@ -157,10 +157,10 @@ class LocalObject { // sizes locally depending on what data is written to the channel, but the // plasma store keeps the original data and metadata size. object->allocated_size = object->data_size + object->metadata_size; - object->device_num = GetAllocation().device_num; - object->mmap_size = GetAllocation().mmap_size; - object->fallback_allocated = GetAllocation().fallback_allocated; - object->is_experimental_mutable_object = object_info.is_mutable; + object->device_num = GetAllocation().device_num_; + object->mmap_size = GetAllocation().mmap_size_; + object->fallback_allocated = GetAllocation().fallback_allocated_; + object->is_experimental_mutable_object = object_info_.is_mutable; } private: @@ -174,19 +174,19 @@ class LocalObject { friend struct GetRequestQueueTest; /// Allocation Info; - Allocation allocation; + Allocation allocation_; /// Ray object info; - ray::ObjectInfo object_info; + ray::ObjectInfo object_info_; /// Number of clients currently using this object. /// TODO: ref_count probably shouldn't belong to LocalObject. - mutable int32_t ref_count; + mutable int32_t ref_count_; /// Unix epoch of when this object was created. - int64_t create_time; + int64_t create_time_; /// How long creation of this object took. - int64_t construct_duration; + int64_t construct_duration_; /// The state of the object, e.g., whether it is open or sealed. - ObjectState state; + ObjectState state_; /// The source of the object. Used for debugging purposes. - plasma::flatbuf::ObjectSource source; + plasma::flatbuf::ObjectSource source_; }; } // namespace plasma diff --git a/src/ray/object_manager/plasma/create_request_queue.cc b/src/ray/object_manager/plasma/create_request_queue.cc index 1ed969efa69d..3c9b9b55451c 100644 --- a/src/ray/object_manager/plasma/create_request_queue.cc +++ b/src/ray/object_manager/plasma/create_request_queue.cc @@ -55,8 +55,8 @@ bool CreateRequestQueue::GetRequestResult(uint64_t req_id, return false; } - *result = it->second->result; - *error = it->second->error; + *result = it->second->result_; + *error = it->second->error_; fulfilled_requests_.erase(it); return true; } @@ -75,8 +75,8 @@ std::pair CreateRequestQueue::TryRequestImmediately( Status CreateRequestQueue::ProcessRequest(bool fallback_allocator, std::unique_ptr &request) { - request->error = request->create_callback(fallback_allocator, &request->result); - if (request->error == PlasmaError::OutOfMemory) { + request->error_ = request->create_callback_(fallback_allocator, &request->result_); + if (request->error_ == PlasmaError::OutOfMemory) { return Status::ObjectStoreFull(""); } else { return Status::OK(); @@ -92,10 +92,11 @@ Status CreateRequestQueue::ProcessRequests() { // if allocation failed due to OOM, and fs_monitor_ indicates the local disk is full, // we should failed the request with out of disk error - if ((*request_it)->error == PlasmaError::OutOfMemory && fs_monitor_.OverCapacity()) { - (*request_it)->error = PlasmaError::OutOfDisk; - RAY_LOG(INFO) << "Out-of-disk: Failed to create object " << (*request_it)->object_id - << " of size " << (*request_it)->object_size / 1024 / 1024 << "MB\n"; + if ((*request_it)->error_ == PlasmaError::OutOfMemory && fs_monitor_.OverCapacity()) { + (*request_it)->error_ = PlasmaError::OutOfDisk; + RAY_LOG(INFO) << "Out-of-disk: Failed to create object " + << (*request_it)->object_id_ << " of size " + << (*request_it)->object_size_ / 1024 / 1024 << "MB\n"; FinishRequest(request_it); return Status::OutOfDisk("System running out of disk."); } @@ -132,15 +133,15 @@ Status CreateRequestQueue::ProcessRequests() { if (!status.ok()) { // This only happens when an allocation is bigger than available disk space. // We should throw OutOfDisk Error here. - (*request_it)->error = PlasmaError::OutOfDisk; + (*request_it)->error_ = PlasmaError::OutOfDisk; std::string dump = ""; if (dump_debug_info_callback_ && !logged_oom) { dump = dump_debug_info_callback_(); logged_oom = true; } RAY_LOG(INFO) << "Out-of-disk: Failed to create object " - << (*request_it)->object_id << " of size " - << (*request_it)->object_size / 1024 / 1024 << "MB\n" + << (*request_it)->object_id_ << " of size " + << (*request_it)->object_size_ / 1024 / 1024 << "MB\n" << dump; } FinishRequest(request_it); @@ -154,22 +155,22 @@ void CreateRequestQueue::FinishRequest( std::list>::iterator request_it) { // Fulfill the request. auto &request = *request_it; - auto it = fulfilled_requests_.find(request->request_id); + auto it = fulfilled_requests_.find(request->request_id_); RAY_CHECK(it != fulfilled_requests_.end()); RAY_CHECK(it->second == nullptr); it->second = std::move(request); - RAY_CHECK(num_bytes_pending_ >= it->second->object_size); - num_bytes_pending_ -= it->second->object_size; + RAY_CHECK(num_bytes_pending_ >= it->second->object_size_); + num_bytes_pending_ -= it->second->object_size_; queue_.erase(request_it); } void CreateRequestQueue::RemoveDisconnectedClientRequests( const std::shared_ptr &client) { for (auto it = queue_.begin(); it != queue_.end();) { - if ((*it)->client == client) { - fulfilled_requests_.erase((*it)->request_id); - RAY_CHECK(num_bytes_pending_ >= (*it)->object_size); - num_bytes_pending_ -= (*it)->object_size; + if ((*it)->client_ == client) { + fulfilled_requests_.erase((*it)->request_id_); + RAY_CHECK(num_bytes_pending_ >= (*it)->object_size_); + num_bytes_pending_ -= (*it)->object_size_; it = queue_.erase(it); } else { it++; @@ -177,7 +178,7 @@ void CreateRequestQueue::RemoveDisconnectedClientRequests( } for (auto it = fulfilled_requests_.begin(); it != fulfilled_requests_.end();) { - if (it->second && it->second->client == client) { + if (it->second && it->second->client_ == client) { fulfilled_requests_.erase(it++); } else { it++; diff --git a/src/ray/object_manager/plasma/create_request_queue.h b/src/ray/object_manager/plasma/create_request_queue.h index 607443e67ba7..80ca6092d54a 100644 --- a/src/ray/object_manager/plasma/create_request_queue.h +++ b/src/ray/object_manager/plasma/create_request_queue.h @@ -126,32 +126,32 @@ class CreateRequestQueue { const std::shared_ptr &client, CreateObjectCallback create_callback, size_t object_size) - : object_id(object_id), - request_id(request_id), - client(client), - create_callback(create_callback), - object_size(object_size) {} + : object_id_(object_id), + request_id_(request_id), + client_(client), + create_callback_(create_callback), + object_size_(object_size) {} // The ObjectID to create. - const ObjectID object_id; + const ObjectID object_id_; // A request ID that can be returned to the caller to get the result once // ready. - const uint64_t request_id; + const uint64_t request_id_; // A pointer to the client, used as a key to delete requests that were made // by a client that is now disconnected. - const std::shared_ptr client; + const std::shared_ptr client_; // A callback to attempt to create the object. - const CreateObjectCallback create_callback; + const CreateObjectCallback create_callback_; - const size_t object_size; + const size_t object_size_; // The results of the creation call. These should be sent back to the // client once ready. - PlasmaError error = PlasmaError::OK; - PlasmaObject result = {}; + PlasmaError error_ = PlasmaError::OK; + PlasmaObject result_ = {}; }; /// Process a single request. Sets the request's error result to the error diff --git a/src/ray/object_manager/plasma/get_request_queue.cc b/src/ray/object_manager/plasma/get_request_queue.cc index 286440f3778b..097c71061f68 100644 --- a/src/ray/object_manager/plasma/get_request_queue.cc +++ b/src/ray/object_manager/plasma/get_request_queue.cc @@ -23,11 +23,11 @@ GetRequest::GetRequest(instrumented_io_context &io_context, const std::shared_ptr &client, const std::vector &object_ids, int64_t num_unique_objects_to_wait_for) - : client(client), - object_ids(object_ids.begin(), object_ids.end()), - objects(object_ids.size()), - num_unique_objects_to_wait_for(num_unique_objects_to_wait_for), - num_unique_objects_satisfied(0), + : client_(client), + object_ids_(object_ids.begin(), object_ids.end()), + objects_(object_ids.size()), + num_unique_objects_to_wait_for_(num_unique_objects_to_wait_for), + num_unique_objects_satisfied_(0), timer_(io_context) {} void GetRequest::AsyncWait( @@ -64,20 +64,20 @@ void GetRequestQueue::AddRequest(const std::shared_ptr &client, auto entry = object_lifecycle_mgr_.GetObject(object_id); if (entry != nullptr && entry->Sealed()) { // Update the get request to take into account the present object. - auto *plasma_object = &get_request->objects[object_id]; + auto *plasma_object = &get_request->objects_[object_id]; entry->ToPlasmaObject(plasma_object, /* checksealed */ true); - get_request->num_unique_objects_satisfied += 1; + get_request->num_unique_objects_satisfied_ += 1; std::optional fallback_allocated_fd = std::nullopt; - if (entry->GetAllocation().fallback_allocated) { - fallback_allocated_fd = entry->GetAllocation().fd; + if (entry->GetAllocation().fallback_allocated_) { + fallback_allocated_fd = entry->GetAllocation().fd_; } object_satisfied_callback_(object_id, fallback_allocated_fd, get_request); } else { // Add a placeholder plasma object to the get request to indicate that the // object is not present. This will be parsed by the client. We set the // data size to -1 to indicate that the object is not present. - get_request->objects[object_id].data_size = -1; + get_request->objects_[object_id].data_size = -1; // Add the get request to the relevant data structures. object_get_requests_[object_id].push_back(get_request); } @@ -85,8 +85,8 @@ void GetRequestQueue::AddRequest(const std::shared_ptr &client, // If all of the objects are present already or if the timeout is 0, return to // the client. - if (get_request->num_unique_objects_satisfied == - get_request->num_unique_objects_to_wait_for || + if (get_request->num_unique_objects_satisfied_ == + get_request->num_unique_objects_to_wait_for_ || timeout_ms == 0) { OnGetRequestCompleted(get_request); } else if (timeout_ms != -1) { @@ -108,7 +108,7 @@ void GetRequestQueue::RemoveGetRequestsForClient( absl::flat_hash_set> get_requests_to_remove; for (auto const &pair : object_get_requests_) { for (const auto &get_request : pair.second) { - if (get_request->client == client) { + if (get_request->client_ == client) { get_requests_to_remove.insert(get_request); } } @@ -133,7 +133,7 @@ void GetRequestQueue::RemoveGetRequest(const std::shared_ptr &get_re // Remove the get request from each of the relevant object_get_requests hash // tables if it is present there. It should only be present there if the get // request timed out or if it was issued by a client that has disconnected. - for (const auto &object_id : get_request->object_ids) { + for (const auto &object_id : get_request->object_ids_) { auto object_request_iter = object_get_requests_.find(object_id); if (object_request_iter != object_get_requests_.end()) { auto &get_requests = object_request_iter->second; @@ -170,18 +170,18 @@ void GetRequestQueue::MarkObjectSealed(const ObjectID &object_id) { auto get_request = get_requests[index]; auto entry = object_lifecycle_mgr_.GetObject(object_id); RAY_CHECK(entry != nullptr); - auto *plasma_object = &get_request->objects[object_id]; + auto *plasma_object = &get_request->objects_[object_id]; entry->ToPlasmaObject(plasma_object, /* check sealed */ true); - get_request->num_unique_objects_satisfied += 1; + get_request->num_unique_objects_satisfied_ += 1; std::optional fallback_allocated_fd = std::nullopt; - if (entry->GetAllocation().fallback_allocated) { - fallback_allocated_fd = entry->GetAllocation().fd; + if (entry->GetAllocation().fallback_allocated_) { + fallback_allocated_fd = entry->GetAllocation().fd_; } object_satisfied_callback_(object_id, fallback_allocated_fd, get_request); // If this get request is done, reply to the client. - if (get_request->num_unique_objects_satisfied == - get_request->num_unique_objects_to_wait_for) { + if (get_request->num_unique_objects_satisfied_ == + get_request->num_unique_objects_to_wait_for_) { OnGetRequestCompleted(get_request); } else { // The call to ReturnFromGet will remove the current element in the diff --git a/src/ray/object_manager/plasma/get_request_queue.h b/src/ray/object_manager/plasma/get_request_queue.h index 96387999d2d8..c9585f279a62 100644 --- a/src/ray/object_manager/plasma/get_request_queue.h +++ b/src/ray/object_manager/plasma/get_request_queue.h @@ -37,17 +37,17 @@ struct GetRequest { const std::vector &object_ids, int64_t num_unique_objects_to_wait_for); /// The client that called get. - std::shared_ptr client; + std::shared_ptr client_; /// The object IDs involved in this request. This is used in the reply. - std::vector object_ids; + std::vector object_ids_; /// The object information for the objects in this request. This is used in /// the reply. - absl::flat_hash_map objects; + absl::flat_hash_map objects_; /// The minimum number of objects to wait for in this request. - const int64_t num_unique_objects_to_wait_for; + const int64_t num_unique_objects_to_wait_for_; /// The number of object requests in this wait request that are already /// satisfied. - int64_t num_unique_objects_satisfied; + int64_t num_unique_objects_satisfied_; void AsyncWait(int64_t timeout_ms, std::function on_timeout); diff --git a/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc b/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc index c49eec1e473d..66b426365265 100644 --- a/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc +++ b/src/ray/object_manager/plasma/obj_lifecycle_mgr.cc @@ -76,12 +76,12 @@ flatbuf::PlasmaError ObjectLifecycleManager::AbortObject(const ObjectID &object_ RAY_LOG(ERROR) << "To abort an object it must be in the object table."; return PlasmaError::ObjectNonexistent; } - if (entry->state == ObjectState::PLASMA_SEALED) { + if (entry->state_ == ObjectState::PLASMA_SEALED) { RAY_LOG(ERROR) << "To abort an object it must not have been sealed."; return PlasmaError::ObjectSealed; } - bool abort_while_using = entry->ref_count > 0; + bool abort_while_using = entry->ref_count_ > 0; DeleteObjectInternal(object_id); if (abort_while_using) { @@ -98,7 +98,7 @@ PlasmaError ObjectLifecycleManager::DeleteObject(const ObjectID &object_id) { } // TODO(scv119): should we delete unsealed with ref_count 0? - if (entry->state != ObjectState::PLASMA_SEALED) { + if (entry->state_ != ObjectState::PLASMA_SEALED) { // To delete an object it must have been sealed, // otherwise there might be memeory corruption. // Put it into deletion cache, it will be deleted later. @@ -106,7 +106,7 @@ PlasmaError ObjectLifecycleManager::DeleteObject(const ObjectID &object_id) { return PlasmaError::ObjectNotSealed; } - if (entry->ref_count != 0) { + if (entry->ref_count_ != 0) { // To delete an object, there must be no clients currently using it. // Put it into deletion cache, it will be deleted later. earger_deletion_objects_.emplace(object_id); @@ -133,12 +133,12 @@ bool ObjectLifecycleManager::AddReference(const ObjectID &object_id) { } // If there are no other clients using this object, notify the eviction policy // that the object is being used. - if (entry->ref_count == 0) { + if (entry->ref_count_ == 0) { // Tell the eviction policy that this object is being used. eviction_policy_->BeginObjectAccess(object_id); } // Increase reference count. - entry->ref_count++; + entry->ref_count_++; stats_collector_->OnObjectRefIncreased(*entry); RAY_LOG(DEBUG) << "Object " << object_id << " reference has incremented" << ", num bytes in use is now " << GetNumBytesInUse(); @@ -147,17 +147,17 @@ bool ObjectLifecycleManager::AddReference(const ObjectID &object_id) { bool ObjectLifecycleManager::RemoveReference(const ObjectID &object_id) { auto entry = object_store_->GetObject(object_id); - if (!entry || entry->ref_count == 0) { + if (!entry || entry->ref_count_ == 0) { RAY_LOG(ERROR) << object_id << " doesn't exist, or its ref count is already 0, remove reference failed."; return false; } - entry->ref_count--; + entry->ref_count_--; stats_collector_->OnObjectRefDecreased(*entry); - if (entry->ref_count > 0) { + if (entry->ref_count_ > 0) { return true; } @@ -231,9 +231,9 @@ void ObjectLifecycleManager::EvictObjects(const std::vector &object_id // error. Maybe we should also support deleting objects that have been // created but not sealed. RAY_CHECK(entry != nullptr) << "To evict an object it must be in the object table."; - RAY_CHECK(entry->state == ObjectState::PLASMA_SEALED) + RAY_CHECK(entry->state_ == ObjectState::PLASMA_SEALED) << "To evict an object it must have been sealed."; - RAY_CHECK(entry->ref_count == 0) + RAY_CHECK(entry->ref_count_ == 0) << "To evict an object, there must be no clients currently using it."; DeleteObjectInternal(object_id); @@ -244,7 +244,7 @@ void ObjectLifecycleManager::DeleteObjectInternal(const ObjectID &object_id) { auto entry = object_store_->GetObject(object_id); RAY_CHECK(entry != nullptr); - bool aborted = entry->state == ObjectState::PLASMA_CREATED; + bool aborted = entry->state_ == ObjectState::PLASMA_CREATED; stats_collector_->OnObjectDeleting(*entry); earger_deletion_objects_.erase(object_id); @@ -263,7 +263,7 @@ int64_t ObjectLifecycleManager::GetNumBytesInUse() const { bool ObjectLifecycleManager::IsObjectSealed(const ObjectID &object_id) const { auto entry = GetObject(object_id); - return entry && entry->state == ObjectState::PLASMA_SEALED; + return entry && entry->state_ == ObjectState::PLASMA_SEALED; } int64_t ObjectLifecycleManager::GetNumObjectsCreatedTotal() const { diff --git a/src/ray/object_manager/plasma/object_store.cc b/src/ray/object_manager/plasma/object_store.cc index a2f952ffc6e4..ee7639c48bc1 100644 --- a/src/ray/object_manager/plasma/object_store.cc +++ b/src/ray/object_manager/plasma/object_store.cc @@ -43,11 +43,11 @@ const LocalObject *ObjectStore::CreateObject(const ray::ObjectInfo &object_info, auto ptr = std::make_unique(std::move(allocation.value())); auto entry = object_table_.emplace(object_info.object_id, std::move(ptr)).first->second.get(); - entry->object_info = object_info; - entry->state = ObjectState::PLASMA_CREATED; - entry->create_time = std::time(nullptr); - entry->construct_duration = -1; - entry->source = source; + entry->object_info_ = object_info; + entry->state_ = ObjectState::PLASMA_CREATED; + entry->create_time_ = std::time(nullptr); + entry->construct_duration_ = -1; + entry->source_ = source; #if defined(__APPLE__) || defined(__linux__) if (object_info.is_mutable) { @@ -70,11 +70,11 @@ const LocalObject *ObjectStore::GetObject(const ObjectID &object_id) const { const LocalObject *ObjectStore::SealObject(const ObjectID &object_id) { auto entry = GetMutableObject(object_id); - if (entry == nullptr || entry->state == ObjectState::PLASMA_SEALED) { + if (entry == nullptr || entry->state_ == ObjectState::PLASMA_SEALED) { return nullptr; } - entry->state = ObjectState::PLASMA_SEALED; - entry->construct_duration = std::time(nullptr) - entry->create_time; + entry->state_ = ObjectState::PLASMA_SEALED; + entry->construct_duration_ = std::time(nullptr) - entry->create_time_; return entry; } @@ -83,7 +83,7 @@ bool ObjectStore::DeleteObject(const ObjectID &object_id) { if (entry == nullptr) { return false; } - allocator_.Free(std::move(entry->allocation)); + allocator_.Free(std::move(entry->allocation_)); object_table_.erase(object_id); return true; } diff --git a/src/ray/object_manager/plasma/plasma.cc b/src/ray/object_manager/plasma/plasma.cc index 84182fc5e0f3..04bf03779d94 100644 --- a/src/ray/object_manager/plasma/plasma.cc +++ b/src/ray/object_manager/plasma/plasma.cc @@ -24,5 +24,5 @@ namespace plasma { LocalObject::LocalObject(Allocation allocation) - : allocation(std::move(allocation)), ref_count(0) {} + : allocation_(std::move(allocation)), ref_count_(0) {} } // namespace plasma diff --git a/src/ray/object_manager/plasma/plasma_allocator.cc b/src/ray/object_manager/plasma/plasma_allocator.cc index 840b3c4599d2..6127fd146fb1 100644 --- a/src/ray/object_manager/plasma/plasma_allocator.cc +++ b/src/ray/object_manager/plasma/plasma_allocator.cc @@ -120,12 +120,12 @@ std::optional PlasmaAllocator::FallbackAllocate(size_t bytes) { } void PlasmaAllocator::Free(Allocation allocation) { - RAY_CHECK(allocation.address != nullptr) << "Cannot free the nullptr"; - RAY_LOG(DEBUG) << "deallocating " << allocation.size << " at " << allocation.address; - dlfree(allocation.address); - allocated_ -= allocation.size; - if (internal::IsOutsideInitialAllocation(allocation.address)) { - fallback_allocated_ -= allocation.size; + RAY_CHECK(allocation.address_ != nullptr) << "Cannot free the nullptr"; + RAY_LOG(DEBUG) << "deallocating " << allocation.size_ << " at " << allocation.address_; + dlfree(allocation.address_); + allocated_ -= allocation.size_; + if (internal::IsOutsideInitialAllocation(allocation.address_)) { + fallback_allocated_ -= allocation.size_; } } diff --git a/src/ray/object_manager/plasma/stats_collector.cc b/src/ray/object_manager/plasma/stats_collector.cc index aa3b95a617b1..dd9584b85727 100644 --- a/src/ray/object_manager/plasma/stats_collector.cc +++ b/src/ray/object_manager/plasma/stats_collector.cc @@ -27,7 +27,7 @@ void ObjectStatsCollector::OnObjectCreated(const LocalObject &obj) { const auto &kAllocation = obj.GetAllocation(); bytes_by_loc_seal_.Increment( - {/*fallback_allocated*/ kAllocation.fallback_allocated, /*sealed*/ false}, + {/*fallback_allocated*/ kAllocation.fallback_allocated_, /*sealed*/ false}, kObjectSize); num_objects_created_total_ += 1; @@ -65,8 +65,8 @@ void ObjectStatsCollector::OnObjectSealed(const LocalObject &obj) { const auto kObjectSize = obj.GetObjectInfo().GetObjectSize(); const auto &kAllocation = obj.GetAllocation(); - bytes_by_loc_seal_.Swap({kAllocation.fallback_allocated, /* sealed */ false}, - {kAllocation.fallback_allocated, /* sealed */ true}, + bytes_by_loc_seal_.Swap({kAllocation.fallback_allocated_, /* sealed */ false}, + {kAllocation.fallback_allocated_, /* sealed */ true}, kObjectSize); num_objects_unsealed_--; @@ -91,7 +91,7 @@ void ObjectStatsCollector::OnObjectDeleting(const LocalObject &obj) { const auto kSource = obj.GetSource(); const auto &kAllocation = obj.GetAllocation(); - bytes_by_loc_seal_.Decrement({kAllocation.fallback_allocated, obj.Sealed()}, + bytes_by_loc_seal_.Decrement({kAllocation.fallback_allocated_, obj.Sealed()}, kObjectSize); if (kSource == plasma::flatbuf::ObjectSource::CreatedByWorker) { diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index 976189682ae5..d08fc2f8e427 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -106,7 +106,8 @@ PlasmaStore::PlasmaStore(instrumented_io_context &main_service, std::optional fallback_allocated_fd, const auto &request) ABSL_NO_THREAD_SAFETY_ANALYSIS { mutex_.AssertHeld(); - this->AddToClientObjectIds(object_id, fallback_allocated_fd, request->client); + this->AddToClientObjectIds( + object_id, fallback_allocated_fd, request->client_); }, [this](const auto &request) { this->ReturnFromGet(request); }) { ray::SetCloseOnExec(acceptor_); @@ -185,8 +186,8 @@ PlasmaError PlasmaStore::CreateObject(const ray::ObjectInfo &object_info, entry->ToPlasmaObject(result, /* check sealed */ false); // Record that this client is using this object. std::optional fallback_allocated_fd = std::nullopt; - if (entry->GetAllocation().fallback_allocated) { - fallback_allocated_fd = entry->GetAllocation().fd; + if (entry->GetAllocation().fallback_allocated_) { + fallback_allocated_fd = entry->GetAllocation().fd_; } AddToClientObjectIds(object_info.object_id, fallback_allocated_fd, client); return PlasmaError::OK; @@ -203,8 +204,8 @@ void PlasmaStore::ReturnFromGet(const std::shared_ptr &get_request) absl::flat_hash_set fds_to_send; std::vector store_fds; std::vector mmap_sizes; - for (const auto &object_id : get_request->object_ids) { - const PlasmaObject &object = get_request->objects[object_id]; + for (const auto &object_id : get_request->object_ids_) { + const PlasmaObject &object = get_request->objects_[object_id]; MEMFD_TYPE fd = object.store_fd; if (object.data_size != -1 && fds_to_send.count(fd) == 0 && fd.first != INVALID_FD) { fds_to_send.insert(fd); @@ -213,10 +214,10 @@ void PlasmaStore::ReturnFromGet(const std::shared_ptr &get_request) } } // Send the get reply to the client. - Status s = SendGetReply(std::dynamic_pointer_cast(get_request->client), - &get_request->object_ids[0], - get_request->objects, - get_request->object_ids.size(), + Status s = SendGetReply(std::dynamic_pointer_cast(get_request->client_), + &get_request->object_ids_[0], + get_request->objects_, + get_request->object_ids_.size(), store_fds, mmap_sizes); // If we successfully sent the get reply message to the client, then also send @@ -224,14 +225,14 @@ void PlasmaStore::ReturnFromGet(const std::shared_ptr &get_request) if (s.ok()) { // Send all of the file descriptors for the present objects. for (MEMFD_TYPE store_fd : store_fds) { - Status send_fd_status = get_request->client->SendFd(store_fd); + Status send_fd_status = get_request->client_->SendFd(store_fd); if (!send_fd_status.ok()) { RAY_LOG(ERROR) << "Failed to send mmap results to client on fd " - << get_request->client; + << get_request->client_; } } } else { - RAY_LOG(ERROR) << "Failed to send Get reply to client on fd " << get_request->client; + RAY_LOG(ERROR) << "Failed to send Get reply to client on fd " << get_request->client_; } } @@ -311,8 +312,8 @@ void PlasmaStore::ConnectClient(const boost::system::error_code &error) { return ProcessClientMessage(std::move(client), message_type, message); }, /*connection_error_handler=*/ - [this](std::shared_ptr client, const boost::system::error_code &error) - -> void { return HandleClientConnectionError(std::move(client), error); }, + [this](std::shared_ptr client, const boost::system::error_code &err) + -> void { return HandleClientConnectionError(std::move(client), err); }, std::move(socket_)); // Start receiving messages. diff --git a/src/ray/object_manager/plasma/tests/eviction_policy_test.cc b/src/ray/object_manager/plasma/tests/eviction_policy_test.cc index a6367a997285..dacb8d1f020f 100644 --- a/src/ray/object_manager/plasma/tests/eviction_policy_test.cc +++ b/src/ray/object_manager/plasma/tests/eviction_policy_test.cc @@ -115,17 +115,17 @@ TEST(EvictionPolicyTest, Test) { ObjectID key4 = ObjectID::FromRandom(); LocalObject object1{Allocation()}; - object1.object_info.data_size = 10; - object1.object_info.metadata_size = 0; + object1.object_info_.data_size = 10; + object1.object_info_.metadata_size = 0; LocalObject object2{Allocation()}; - object2.object_info.data_size = 20; - object2.object_info.metadata_size = 0; + object2.object_info_.data_size = 20; + object2.object_info_.metadata_size = 0; LocalObject object3{Allocation()}; - object3.object_info.data_size = 30; - object3.object_info.metadata_size = 0; + object3.object_info_.data_size = 30; + object3.object_info_.metadata_size = 0; LocalObject object4{Allocation()}; - object4.object_info.data_size = 40; - object4.object_info.metadata_size = 0; + object4.object_info_.data_size = 40; + object4.object_info_.metadata_size = 0; auto init_object_store = [&](EvictionPolicy &policy) { EXPECT_CALL(store, GetObject(_)) diff --git a/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc b/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc index 3ba76efbaeca..b947dfb6729b 100644 --- a/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc +++ b/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc @@ -48,11 +48,11 @@ TEST(FallbackPlasmaAllocatorTest, FallbackPassThroughTest) { { auto allocation_1 = allocator.Allocate(object_size); EXPECT_TRUE(allocation_1.has_value()); - EXPECT_FALSE(allocation_1->fallback_allocated); + EXPECT_FALSE(allocation_1->fallback_allocated_); auto allocation_2 = allocator.Allocate(object_size); EXPECT_TRUE(allocation_2.has_value()); - EXPECT_FALSE(allocation_2->fallback_allocated); + EXPECT_FALSE(allocation_2->fallback_allocated_); EXPECT_EQ(2 * object_size, allocator.Allocated()); @@ -75,7 +75,7 @@ TEST(FallbackPlasmaAllocatorTest, FallbackPassThroughTest) { auto allocation = allocator.Allocate(kMB); expect_allocated += kMB; EXPECT_TRUE(allocation.has_value()); - EXPECT_FALSE(allocation->fallback_allocated); + EXPECT_FALSE(allocation->fallback_allocated_); EXPECT_EQ(expect_allocated, allocator.Allocated()); EXPECT_EQ(0, allocator.FallbackAllocated()); allocations.push_back(std::move(allocation.value())); @@ -97,7 +97,7 @@ TEST(FallbackPlasmaAllocatorTest, FallbackPassThroughTest) { expect_allocated += kMB; expect_fallback_allocated += kMB; EXPECT_TRUE(allocation.has_value()); - EXPECT_TRUE(allocation->fallback_allocated); + EXPECT_TRUE(allocation->fallback_allocated_); EXPECT_EQ(expect_allocated, allocator.Allocated()); EXPECT_EQ(expect_fallback_allocated, allocator.FallbackAllocated()); fallback_allocations.push_back(std::move(allocation.value())); diff --git a/src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc b/src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc index 580f400a554d..e83dca206f60 100644 --- a/src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc +++ b/src/ray/object_manager/plasma/tests/obj_lifecycle_mgr_test.cc @@ -76,12 +76,12 @@ struct ObjectLifecycleManagerTest : public Test { std::move(eviction_policy), delete_object_cb, std::move(stats_collector))); - sealed_object_.state = ObjectState::PLASMA_SEALED; - not_sealed_object_.state = ObjectState::PLASMA_CREATED; - one_ref_object_.state = ObjectState::PLASMA_SEALED; - one_ref_object_.ref_count = 1; - two_ref_object_.state = ObjectState::PLASMA_SEALED; - two_ref_object_.ref_count = 2; + sealed_object_.state_ = ObjectState::PLASMA_SEALED; + not_sealed_object_.state_ = ObjectState::PLASMA_CREATED; + one_ref_object_.state_ = ObjectState::PLASMA_SEALED; + one_ref_object_.ref_count_ = 1; + two_ref_object_.state_ = ObjectState::PLASMA_SEALED; + two_ref_object_.ref_count_ = 2; } MockEvictionPolicy *eviction_policy_; diff --git a/src/ray/object_manager/plasma/tests/object_store_test.cc b/src/ray/object_manager/plasma/tests/object_store_test.cc index 0d5704c9a484..67c4f3e44039 100644 --- a/src/ray/object_manager/plasma/tests/object_store_test.cc +++ b/src/ray/object_manager/plasma/tests/object_store_test.cc @@ -42,22 +42,22 @@ T Random(T max = std::numeric_limits::max()) { Allocation CreateAllocation(Allocation alloc, int64_t size, bool fallback_allocated = false) { - alloc.size = size; - alloc.offset = Random(); - alloc.mmap_size = Random(); - alloc.fallback_allocated = fallback_allocated; + alloc.size_ = size; + alloc.offset_ = Random(); + alloc.mmap_size_ = Random(); + alloc.fallback_allocated_ = fallback_allocated; return alloc; } const std::string Serialize(const Allocation &allocation) { return absl::StrFormat("%p/%d/%d/%d/%d/%d/%d", - allocation.address, - allocation.size, - allocation.fd.first, - allocation.fd.second, - allocation.offset, - allocation.device_num, - allocation.mmap_size); + allocation.address_, + allocation.size_, + allocation.fd_.first, + allocation.fd_.second, + allocation.offset_, + allocation.device_num_, + allocation.mmap_size_); } ObjectInfo CreateObjectInfo(ObjectID object_id, int64_t object_size) { @@ -106,11 +106,11 @@ TEST(ObjectStoreTest, PassThroughTest) { })); auto entry = store.CreateObject(info, {}, /*fallback_allocate*/ false); EXPECT_NE(entry, nullptr); - EXPECT_EQ(entry->ref_count, 0); - EXPECT_EQ(entry->state, ObjectState::PLASMA_CREATED); - EXPECT_EQ(alloc_str, Serialize(entry->allocation)); - EXPECT_EQ(info, entry->object_info); - EXPECT_FALSE(entry->allocation.fallback_allocated); + EXPECT_EQ(entry->ref_count_, 0); + EXPECT_EQ(entry->state_, ObjectState::PLASMA_CREATED); + EXPECT_EQ(alloc_str, Serialize(entry->allocation_)); + EXPECT_EQ(info, entry->object_info_); + EXPECT_FALSE(entry->allocation_.fallback_allocated_); // verify get auto entry1 = store.GetObject(kId1); @@ -123,7 +123,7 @@ TEST(ObjectStoreTest, PassThroughTest) { // seal object auto entry3 = store.SealObject(kId1); EXPECT_EQ(entry3, entry); - EXPECT_EQ(entry3->state, ObjectState::PLASMA_SEALED); + EXPECT_EQ(entry3->state_, ObjectState::PLASMA_SEALED); // seal non existing EXPECT_EQ(nullptr, store.SealObject(kId2)); @@ -168,11 +168,11 @@ TEST(ObjectStoreTest, PassThroughTest) { auto entry = store.CreateObject(info, {}, /*fallback_allocate*/ true); EXPECT_NE(entry, nullptr); - EXPECT_EQ(entry->ref_count, 0); - EXPECT_EQ(entry->state, ObjectState::PLASMA_CREATED); - EXPECT_EQ(alloc_str, Serialize(entry->allocation)); - EXPECT_EQ(info, entry->object_info); - EXPECT_TRUE(entry->allocation.fallback_allocated); + EXPECT_EQ(entry->ref_count_, 0); + EXPECT_EQ(entry->state_, ObjectState::PLASMA_CREATED); + EXPECT_EQ(alloc_str, Serialize(entry->allocation_)); + EXPECT_EQ(info, entry->object_info_); + EXPECT_TRUE(entry->allocation_.fallback_allocated_); // delete unsealed EXPECT_CALL(allocator, Free(_)).Times(1).WillOnce(Invoke([&](auto &&allocation) { diff --git a/src/ray/object_manager/plasma/tests/stats_collector_test.cc b/src/ray/object_manager/plasma/tests/stats_collector_test.cc index 4831e95a6f80..9c25e7152ffe 100644 --- a/src/ray/object_manager/plasma/tests/stats_collector_test.cc +++ b/src/ray/object_manager/plasma/tests/stats_collector_test.cc @@ -39,7 +39,7 @@ class DummyAllocator : public IAllocator { std::optional Allocate(size_t bytes) override { allocated_ += bytes; auto allocation = Allocation(); - allocation.size = bytes; + allocation.size_ = bytes; return std::move(allocation); } @@ -47,7 +47,7 @@ class DummyAllocator : public IAllocator { return absl::nullopt; } - void Free(Allocation allocation) override { allocated_ -= allocation.size; } + void Free(Allocation allocation) override { allocated_ -= allocation.size_; } int64_t GetFootprintLimit() const override { return std::numeric_limits::max(); @@ -99,39 +99,40 @@ struct ObjectStatsCollectorTest : public Test { for (const auto &obj_entry : object_store_->object_table_) { const auto &obj = obj_entry.second; - if (obj->ref_count > 0) { + if (obj->ref_count_ > 0) { num_objects_in_use++; - num_bytes_in_use += obj->object_info.GetObjectSize(); + num_bytes_in_use += obj->object_info_.GetObjectSize(); } - if (obj->state == ObjectState::PLASMA_CREATED) { + if (obj->state_ == ObjectState::PLASMA_CREATED) { num_objects_unsealed++; - num_bytes_unsealed += obj->object_info.GetObjectSize(); + num_bytes_unsealed += obj->object_info_.GetObjectSize(); } else { - if (obj->ref_count == 1 && - obj->source == plasma::flatbuf::ObjectSource::CreatedByWorker) { + if (obj->ref_count_ == 1 && + obj->source_ == plasma::flatbuf::ObjectSource::CreatedByWorker) { num_objects_spillable++; - num_bytes_spillable += obj->object_info.GetObjectSize(); + num_bytes_spillable += obj->object_info_.GetObjectSize(); } - if (obj->ref_count == 0) { + if (obj->ref_count_ == 0) { num_objects_evictable++; - num_bytes_evictable += obj->object_info.GetObjectSize(); + num_bytes_evictable += obj->object_info_.GetObjectSize(); } } - if (obj->source == plasma::flatbuf::ObjectSource::CreatedByWorker) { + if (obj->source_ == plasma::flatbuf::ObjectSource::CreatedByWorker) { num_objects_created_by_worker++; - num_bytes_created_by_worker += obj->object_info.GetObjectSize(); - } else if (obj->source == plasma::flatbuf::ObjectSource::RestoredFromStorage) { + num_bytes_created_by_worker += obj->object_info_.GetObjectSize(); + } else if (obj->source_ == plasma::flatbuf::ObjectSource::RestoredFromStorage) { num_objects_restored++; - num_bytes_restored += obj->object_info.GetObjectSize(); - } else if (obj->source == plasma::flatbuf::ObjectSource::ReceivedFromRemoteRaylet) { + num_bytes_restored += obj->object_info_.GetObjectSize(); + } else if (obj->source_ == + plasma::flatbuf::ObjectSource::ReceivedFromRemoteRaylet) { num_objects_received++; - num_bytes_received += obj->object_info.GetObjectSize(); - } else if (obj->source == plasma::flatbuf::ObjectSource::ErrorStoredByRaylet) { + num_bytes_received += obj->object_info_.GetObjectSize(); + } else if (obj->source_ == plasma::flatbuf::ObjectSource::ErrorStoredByRaylet) { num_objects_errored++; - num_bytes_errored += obj->object_info.GetObjectSize(); + num_bytes_errored += obj->object_info_.GetObjectSize(); } } diff --git a/src/ray/object_manager/pull_manager.cc b/src/ray/object_manager/pull_manager.cc index f91bff777782..ca616c3b0737 100644 --- a/src/ray/object_manager/pull_manager.cc +++ b/src/ray/object_manager/pull_manager.cc @@ -70,7 +70,7 @@ uint64_t PullManager::Pull(const std::vector &object_ref_b BundlePullRequest bundle_pull_request(ObjectRefsToIds(deduplicated), task_key); const uint64_t req_id = next_req_id_++; RAY_LOG(DEBUG) << "Start pull request " << req_id - << ". Bundle size: " << bundle_pull_request.objects.size(); + << ". Bundle size: " << bundle_pull_request.objects_.size(); for (const auto &ref : deduplicated) { const auto obj_id = ObjectRefToId(ref); @@ -127,7 +127,7 @@ bool PullManager::ActivateNextBundlePullRequest(BundlePullRequestQueue &bundles, // First calculate the bytes we need. int64_t bytes_to_pull = 0; - for (const auto &obj_id : next_request.objects) { + for (const auto &obj_id : next_request.objects_) { const bool needs_pull = active_object_pull_requests_.count(obj_id) == 0; if (needs_pull) { // This is the first bundle request in the queue to require this object. @@ -158,7 +158,7 @@ bool PullManager::ActivateNextBundlePullRequest(BundlePullRequestQueue &bundles, << " num bytes being pulled: " << num_bytes_being_pulled_ << " num bytes available: " << num_bytes_available_; num_bytes_being_pulled_ += bytes_to_pull; - for (const auto &obj_id : next_request.objects) { + for (const auto &obj_id : next_request.objects_) { const bool needs_pull = active_object_pull_requests_.count(obj_id) == 0; active_object_pull_requests_[obj_id].insert(next_request_id); if (needs_pull) { @@ -184,7 +184,7 @@ void PullManager::DeactivateBundlePullRequest( uint64_t request_id, std::unordered_set *objects_to_cancel) { const auto &request = map_find_or_die(bundles.requests, request_id); - for (const auto &obj_id : request.objects) { + for (const auto &obj_id : request.objects_) { absl::MutexLock lock(&active_objects_mu_); auto it = active_object_pull_requests_.find(obj_id); if (it == active_object_pull_requests_.end() || !it->second.erase(request_id)) { @@ -337,7 +337,7 @@ std::vector PullManager::CancelPull(uint64_t request_id) { // Erase this pull request. std::vector object_ids_to_cancel_subscription; - for (const auto &obj_id : bundle_it->second.objects) { + for (const auto &obj_id : bundle_it->second.objects_) { auto it = object_pull_requests_.find(obj_id); if (it != object_pull_requests_.end()) { RAY_LOG(DEBUG) << "Removing an object pull request of id: " << obj_id; @@ -680,12 +680,12 @@ std::string PullManager::BundleInfo(const BundlePullRequestQueue &bundles) const } const auto &bundle = it->second; std::stringstream result; - result << bundle.objects.size() << " objects"; + result << bundle.objects_.size() << " objects"; if (!bundle.IsPullable()) { result << " (inactive, waiting for object sizes or locations)"; } else { size_t num_bytes_needed = 0; - for (const auto &obj_id : bundle.objects) { + for (const auto &obj_id : bundle.objects_) { num_bytes_needed += map_find_or_die(object_pull_requests_, obj_id).object_size; } result << ", " << num_bytes_needed << " bytes"; @@ -713,7 +713,7 @@ int64_t PullManager::NextRequestBundleSize(const BundlePullRequestQueue &bundles // Calculate the bytes we need. int64_t bytes_needed_calculated = 0; - for (const auto &obj_id : next_request.objects) { + for (const auto &obj_id : next_request.objects_) { bool needs_pull = active_object_pull_requests_.count(obj_id) == 0; if (needs_pull) { // This is the first bundle request in the queue to require this object. diff --git a/src/ray/object_manager/pull_manager.h b/src/ray/object_manager/pull_manager.h index 7cd7598fcb27..c81d1ed13ee8 100644 --- a/src/ray/object_manager/pull_manager.h +++ b/src/ray/object_manager/pull_manager.h @@ -225,25 +225,25 @@ class PullManager { struct BundlePullRequest { BundlePullRequest(std::vector requested_objects, const TaskMetricsKey &task_key) - : objects(std::move(requested_objects)), task_key(task_key) {} + : objects_(std::move(requested_objects)), task_key_(task_key) {} // All the objects that this bundle is trying to pull. - const std::vector objects; + const std::vector objects_; // All the objects that are pullable. - absl::flat_hash_set pullable_objects; + absl::flat_hash_set pullable_objects_; // The name of the task, if a task arg request, otherwise the empty string. - const TaskMetricsKey task_key; + const TaskMetricsKey task_key_; void MarkObjectAsPullable(const ObjectID &object) { - pullable_objects.emplace(object); + pullable_objects_.emplace(object); } void MarkObjectAsUnpullable(const ObjectID &object) { - pullable_objects.erase(object); + pullable_objects_.erase(object); } // A bundle is pullable if we know the sizes of all objects // and none of them is pending creation due to object reconstruction. - bool IsPullable() const { return pullable_objects.size() == objects.size(); } + bool IsPullable() const { return pullable_objects_.size() == objects_.size(); } }; /// A helper structure for tracking all the bundle pull requests for a particular bundle @@ -286,7 +286,7 @@ class PullManager { requests.emplace(request_id, request); if (request.IsPullable()) { inactive_requests.emplace(request_id); - inactive_by_name.Increment(request.task_key); + inactive_by_name.Increment(request.task_key_); RAY_CHECK_EQ(inactive_requests.size(), inactive_by_name.Total()); } } @@ -294,7 +294,7 @@ class PullManager { void ActivateBundlePullRequest(uint64_t request_id) { RAY_CHECK_EQ(inactive_requests.erase(request_id), 1u); active_requests.emplace(request_id); - auto task_key = map_find_or_die(requests, request_id).task_key; + auto task_key = map_find_or_die(requests, request_id).task_key_; inactive_by_name.Decrement(task_key); RAY_CHECK_EQ(inactive_requests.size(), inactive_by_name.Total()); } @@ -302,7 +302,7 @@ class PullManager { void DeactivateBundlePullRequest(uint64_t request_id) { RAY_CHECK_EQ(active_requests.erase(request_id), 1u); inactive_requests.emplace(request_id); - auto task_key = map_find_or_die(requests, request_id).task_key; + auto task_key = map_find_or_die(requests, request_id).task_key_; inactive_by_name.Increment(task_key); RAY_CHECK_EQ(inactive_requests.size(), inactive_by_name.Total()); } @@ -311,7 +311,7 @@ class PullManager { RAY_CHECK(map_find_or_die(requests, request_id).IsPullable()); RAY_CHECK_EQ(active_requests.count(request_id), 0u); inactive_requests.emplace(request_id); - auto task_key = map_find_or_die(requests, request_id).task_key; + auto task_key = map_find_or_die(requests, request_id).task_key_; inactive_by_name.Increment(task_key); RAY_CHECK_EQ(inactive_requests.size(), inactive_by_name.Total()); } @@ -324,14 +324,14 @@ class PullManager { auto it = inactive_requests.find(request_id); if (it != inactive_requests.end()) { inactive_requests.erase(it); - auto task_key = map_find_or_die(requests, request_id).task_key; + auto task_key = map_find_or_die(requests, request_id).task_key_; inactive_by_name.Decrement(task_key); RAY_CHECK_EQ(inactive_requests.size(), inactive_by_name.Total()); } } void RemoveBundlePullRequest(uint64_t request_id) { - auto task_key = map_find_or_die(requests, request_id).task_key; + auto task_key = map_find_or_die(requests, request_id).task_key_; requests.erase(request_id); if (active_requests.find(request_id) != active_requests.end()) { active_requests.erase(request_id); diff --git a/src/ray/object_manager/tests/get_request_queue_test.cc b/src/ray/object_manager/tests/get_request_queue_test.cc index e3e8c40ba615..6a3ec655801e 100644 --- a/src/ray/object_manager/tests/get_request_queue_test.cc +++ b/src/ray/object_manager/tests/get_request_queue_test.cc @@ -64,22 +64,22 @@ struct GetRequestQueueTest : public Test { Test::SetUp(); object_id1 = ObjectID::FromRandom(); object_id2 = ObjectID::FromRandom(); - object1.object_info.data_size = 10; - object1.object_info.metadata_size = 0; - object2.object_info.data_size = 10; - object2.object_info.metadata_size = 0; + object1.object_info_.data_size = 10; + object1.object_info_.metadata_size = 0; + object2.object_info_.data_size = 10; + object2.object_info_.metadata_size = 0; } void TearDown() override { io_context_.stop(); } protected: - void MarkObject(LocalObject &object, ObjectState state) { object.state = state; } + void MarkObject(LocalObject &object, ObjectState state) { object.state_ = state; } void MarkObjectFallbackAllocated(LocalObject &object, bool fallback_allocated, MEMFD_TYPE fd) { - object.allocation.fallback_allocated = fallback_allocated; - object.allocation.fd = fd; + object.allocation_.fallback_allocated_ = fallback_allocated; + object.allocation_.fd_ = fd; } bool IsGetRequestExist(GetRequestQueue &queue, const ObjectID &object_id) { diff --git a/src/ray/pubsub/publisher.cc b/src/ray/pubsub/publisher.cc index 86eab003fa26..2f4cdd05f176 100644 --- a/src/ray/pubsub/publisher.cc +++ b/src/ray/pubsub/publisher.cc @@ -322,12 +322,12 @@ void SubscriberState::PublishIfPossible(bool force_noop) { } // No message should have been added to the reply. - RAY_CHECK(long_polling_connection_->pub_messages->empty()); - *long_polling_connection_->publisher_id = publisher_id_binary_; + RAY_CHECK(long_polling_connection_->pub_messages_->empty()); + *long_polling_connection_->publisher_id_ = publisher_id_binary_; int64_t num_total_bytes = 0; if (!force_noop) { for (auto it = mailbox_.begin(); it != mailbox_.end(); it++) { - if (long_polling_connection_->pub_messages->size() >= publish_batch_size_) { + if (long_polling_connection_->pub_messages_->size() >= publish_batch_size_) { break; } @@ -346,11 +346,11 @@ void SubscriberState::PublishIfPossible(bool force_noop) { // Avoid sending empty message to the subscriber. The message might have been // cleared because the subscribed entity's buffer was full. if (msg.inner_message_case() != rpc::PubMessage::INNER_MESSAGE_NOT_SET) { - *long_polling_connection_->pub_messages->Add() = msg; + *long_polling_connection_->pub_messages_->Add() = msg; } } } - long_polling_connection_->send_reply_callback(Status::OK(), nullptr, nullptr); + long_polling_connection_->send_reply_callback_(Status::OK(), nullptr, nullptr); // Clean up & update metadata. long_polling_connection_.reset(); diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index 009fa3e1edfa..81165e1a8c5e 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -149,13 +149,13 @@ struct LongPollConnection { LongPollConnection(std::string *publisher_id, google::protobuf::RepeatedPtrField *pub_messages, rpc::SendReplyCallback send_reply_callback) - : publisher_id(publisher_id), - pub_messages(pub_messages), - send_reply_callback(std::move(send_reply_callback)) {} + : publisher_id_(publisher_id), + pub_messages_(pub_messages), + send_reply_callback_(std::move(send_reply_callback)) {} - std::string *publisher_id; - google::protobuf::RepeatedPtrField *pub_messages; - rpc::SendReplyCallback send_reply_callback; + std::string *publisher_id_; + google::protobuf::RepeatedPtrField *pub_messages_; + rpc::SendReplyCallback send_reply_callback_; }; /// Keeps the state of each connected subscriber. diff --git a/src/ray/pubsub/subscriber.cc b/src/ray/pubsub/subscriber.cc index 89f9aca913c2..c23b6ecb47fc 100644 --- a/src/ray/pubsub/subscriber.cc +++ b/src/ray/pubsub/subscriber.cc @@ -488,9 +488,9 @@ void Subscriber::SendCommandBatchIfPossible(const rpc::Address &publisher_addres Status status, const rpc::PubsubCommandBatchReply &reply) { { absl::MutexLock lock(&mutex_); - auto command_batch_sent_it = command_batch_sent_.find(publisher_id); - RAY_CHECK(command_batch_sent_it != command_batch_sent_.end()); - command_batch_sent_.erase(command_batch_sent_it); + auto command_batch_sent_iter = command_batch_sent_.find(publisher_id); + RAY_CHECK(command_batch_sent_iter != command_batch_sent_.end()); + command_batch_sent_.erase(command_batch_sent_iter); } for (const auto &done : done_cb) { if (done) { diff --git a/src/ray/raylet/dependency_manager.cc b/src/ray/raylet/dependency_manager.cc index 27d283762109..359f399f5a95 100644 --- a/src/ray/raylet/dependency_manager.cc +++ b/src/ray/raylet/dependency_manager.cc @@ -197,20 +197,20 @@ bool DependencyManager::RequestTaskDependencies( it->second.dependent_tasks.insert(task_id); } - for (const auto &obj_id : task_entry->dependencies) { + for (const auto &obj_id : task_entry->dependencies_) { if (local_objects_.count(obj_id)) { task_entry->DecrementMissingDependencies(); } } if (!required_objects.empty()) { - task_entry->pull_request_id = + task_entry->pull_request_id_ = object_manager_.Pull(required_objects, BundlePriority::TASK_ARGS, task_key); RAY_LOG(DEBUG) << "Started pull for dependencies of task " << task_id - << " request: " << task_entry->pull_request_id; + << " request: " << task_entry->pull_request_id_; } - return task_entry->num_missing_dependencies == 0; + return task_entry->num_missing_dependencies_ == 0; } void DependencyManager::RemoveTaskDependencies(const TaskID &task_id) { @@ -219,13 +219,13 @@ void DependencyManager::RemoveTaskDependencies(const TaskID &task_id) { RAY_CHECK(task_entry != queued_task_requests_.end()) << "Can't remove dependencies of tasks that are not queued."; - if (task_entry->second->pull_request_id > 0) { + if (task_entry->second->pull_request_id_ > 0) { RAY_LOG(DEBUG) << "Canceling pull for dependencies of task " << task_id - << " request: " << task_entry->second->pull_request_id; - object_manager_.CancelPull(task_entry->second->pull_request_id); + << " request: " << task_entry->second->pull_request_id_; + object_manager_.CancelPull(task_entry->second->pull_request_id_); } - for (const auto &obj_id : task_entry->second->dependencies) { + for (const auto &obj_id : task_entry->second->dependencies_) { auto it = required_objects_.find(obj_id); RAY_CHECK(it != required_objects_.end()); it->second.dependent_tasks.erase(task_id); @@ -251,7 +251,7 @@ std::vector DependencyManager::HandleObjectMissing( // If the dependent task had all of its arguments ready, it was ready to // run but must be switched to waiting since one of its arguments is now // missing. - if (task_entry->num_missing_dependencies == 0) { + if (task_entry->num_missing_dependencies_ == 0) { waiting_task_ids.push_back(dependent_task_id); // During normal execution we should be able to include the check // RAY_CHECK(pending_tasks_.count(dependent_task_id) == 1); @@ -283,7 +283,7 @@ std::vector DependencyManager::HandleObjectLocal(const ray::ObjectID &ob task_entry->DecrementMissingDependencies(); // If the dependent task now has all of its arguments ready, it's ready // to run. - if (task_entry->num_missing_dependencies == 0) { + if (task_entry->num_missing_dependencies_ == 0) { ready_task_ids.push_back(dependent_task_id); } } @@ -316,9 +316,9 @@ std::vector DependencyManager::HandleObjectLocal(const ray::ObjectID &ob bool DependencyManager::TaskDependenciesBlocked(const TaskID &task_id) const { auto it = queued_task_requests_.find(task_id); RAY_CHECK(it != queued_task_requests_.end()); - RAY_CHECK(it->second->pull_request_id != 0); + RAY_CHECK(it->second->pull_request_id_ != 0); return !object_manager_.PullRequestActiveOrWaitingForMetadata( - it->second->pull_request_id); + it->second->pull_request_id_); } std::string DependencyManager::DebugString() const { diff --git a/src/ray/raylet/dependency_manager.h b/src/ray/raylet/dependency_manager.h index 6788f399e266..01ac2ec5ff53 100644 --- a/src/ray/raylet/dependency_manager.h +++ b/src/ray/raylet/dependency_manager.h @@ -230,47 +230,47 @@ class DependencyManager : public TaskDependencyManagerInterface { TaskDependencies(const absl::flat_hash_set &deps, CounterMap> &counter_map, const TaskMetricsKey &task_key) - : dependencies(std::move(deps)), - num_missing_dependencies(dependencies.size()), - waiting_task_counter_map(counter_map), - task_key(task_key) { - if (num_missing_dependencies > 0) { - waiting_task_counter_map.Increment(task_key); + : dependencies_(std::move(deps)), + num_missing_dependencies_(dependencies_.size()), + waiting_task_counter_map_(counter_map), + task_key_(task_key) { + if (num_missing_dependencies_ > 0) { + waiting_task_counter_map_.Increment(task_key_); } } /// The objects that the task depends on. These are the arguments to the /// task. These must all be simultaneously local before the task is ready /// to execute. Objects are removed from this set once /// UnsubscribeGetDependencies is called. - absl::flat_hash_set dependencies; + absl::flat_hash_set dependencies_; /// The number of object arguments that are not available locally. This /// must be zero before the task is ready to execute. - size_t num_missing_dependencies; + size_t num_missing_dependencies_; /// Used to identify the pull request for the dependencies to the object /// manager. - uint64_t pull_request_id = 0; + uint64_t pull_request_id_ = 0; /// Reference to the counter map for metrics tracking. - CounterMap> &waiting_task_counter_map; + CounterMap> &waiting_task_counter_map_; /// The task name / is_retry tuple used for metrics tracking. - const TaskMetricsKey task_key; + const TaskMetricsKey task_key_; void IncrementMissingDependencies() { - if (num_missing_dependencies == 0) { - waiting_task_counter_map.Increment(task_key); + if (num_missing_dependencies_ == 0) { + waiting_task_counter_map_.Increment(task_key_); } - num_missing_dependencies++; + num_missing_dependencies_++; } void DecrementMissingDependencies() { - num_missing_dependencies--; - if (num_missing_dependencies == 0) { - waiting_task_counter_map.Decrement(task_key); + num_missing_dependencies_--; + if (num_missing_dependencies_ == 0) { + waiting_task_counter_map_.Decrement(task_key_); } } ~TaskDependencies() { - if (num_missing_dependencies > 0) { - waiting_task_counter_map.Decrement(task_key); + if (num_missing_dependencies_ > 0) { + waiting_task_counter_map_.Decrement(task_key_); } } }; diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 02c280e8c9cb..37862bb69d05 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -51,7 +51,7 @@ void LocalObjectManager::PinObjectsAndWaitForFree( pinned_objects_.emplace(object_id, std::move(object)); } else { auto original_worker_id = - WorkerID::FromBinary(inserted.first->second.owner_address.worker_id()); + WorkerID::FromBinary(inserted.first->second.owner_address_.worker_id()); auto new_worker_id = WorkerID::FromBinary(owner_address.worker_id()); if (original_worker_id != new_worker_id) { // TODO(swang): Handle this case. We should use the new owner address @@ -82,17 +82,17 @@ void LocalObjectManager::PinObjectsAndWaitForFree( auto subscription_callback = [this, owner_address](const rpc::PubMessage &msg) { RAY_CHECK(msg.has_worker_object_eviction_message()); const auto &object_eviction_msg = msg.worker_object_eviction_message(); - const auto object_id = ObjectID::FromBinary(object_eviction_msg.object_id()); - ReleaseFreedObject(object_id); + const auto obj_id = ObjectID::FromBinary(object_eviction_msg.object_id()); + ReleaseFreedObject(obj_id); core_worker_subscriber_->Unsubscribe( - rpc::ChannelType::WORKER_OBJECT_EVICTION, owner_address, object_id.Binary()); + rpc::ChannelType::WORKER_OBJECT_EVICTION, owner_address, obj_id.Binary()); }; // Callback that is invoked when the owner of the object id is dead. auto owner_dead_callback = [this, owner_address](const std::string &object_id_binary, const Status &) { - const auto object_id = ObjectID::FromBinary(object_id_binary); - ReleaseFreedObject(object_id); + const auto obj_id = ObjectID::FromBinary(object_id_binary); + ReleaseFreedObject(obj_id); }; auto sub_message = std::make_unique(); @@ -111,14 +111,14 @@ void LocalObjectManager::PinObjectsAndWaitForFree( void LocalObjectManager::ReleaseFreedObject(const ObjectID &object_id) { // Only free the object if it is not already freed. auto it = local_objects_.find(object_id); - if (it == local_objects_.end() || it->second.is_freed) { + if (it == local_objects_.end() || it->second.is_freed_) { return; } // Mark the object as freed. NOTE(swang): We have to mark this instead of // deleting the entry immediately in case the object is currently being // spilled. In that case, we should process the free event once the object // spill is complete. - it->second.is_freed = true; + it->second.is_freed_ = true; RAY_LOG(DEBUG) << "Unpinning object " << object_id; // The object should be in one of these states: pinned, spilling, or spilled. @@ -326,13 +326,13 @@ void LocalObjectManager::SpillObjectsInternal( RAY_CHECK(it != objects_pending_spill_.end()); auto freed_it = local_objects_.find(object_id); // If the object hasn't already been freed, spill it. - if (freed_it == local_objects_.end() || freed_it->second.is_freed) { + if (freed_it == local_objects_.end() || freed_it->second.is_freed_) { num_bytes_pending_spill_ -= it->second->GetSize(); objects_pending_spill_.erase(it); } else { auto ref = request.add_object_refs_to_spill(); ref->set_object_id(object_id.Binary()); - ref->mutable_owner_address()->CopyFrom(freed_it->second.owner_address); + ref->mutable_owner_address()->CopyFrom(freed_it->second.owner_address_); RAY_LOG(DEBUG) << "Sending spill request for object " << object_id; requested_objects_to_spill.push_back(object_id); } @@ -423,19 +423,19 @@ void LocalObjectManager::OnObjectSpilled(const std::vector &object_ids // Asynchronously Update the spilled URL. auto freed_it = local_objects_.find(object_id); - if (freed_it == local_objects_.end() || freed_it->second.is_freed) { + if (freed_it == local_objects_.end() || freed_it->second.is_freed_) { RAY_LOG(DEBUG) << "Spilled object already freed, skipping send of spilled URL to " "object directory for object " << object_id; continue; } - const auto &worker_addr = freed_it->second.owner_address; + const auto &worker_addr = freed_it->second.owner_address_; object_directory_->ReportObjectSpilled( object_id, self_node_id_, worker_addr, object_url, - freed_it->second.generator_id.value_or(ObjectID::Nil()), + freed_it->second.generator_id_.value_or(ObjectID::Nil()), is_external_storage_type_fs_); } } @@ -555,7 +555,7 @@ void LocalObjectManager::ProcessSpilledObjectsDeleteQueue(uint32_t max_batch_siz // Update current spilled objects metrics RAY_CHECK(local_objects_.contains(object_id)) << "local objects should contain the spilled object: " << object_id; - spilled_bytes_current_ -= local_objects_.at(object_id).object_size; + spilled_bytes_current_ -= local_objects_.at(object_id).object_size_; } else { // If the object was not spilled, it gets pinned again. Unpin here to // prevent a memory leak. diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index 80bf496eda1d..d26851bbb364 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -184,14 +184,14 @@ class LocalObjectManager : public LocalObjectManagerInterface { LocalObjectInfo(const rpc::Address &owner_address, const ObjectID &generator_id, size_t object_size) - : owner_address(owner_address), - generator_id(generator_id.IsNil() ? std::nullopt - : std::optional(generator_id)), - object_size(object_size) {} - rpc::Address owner_address; - bool is_freed = false; - std::optional generator_id; - size_t object_size; + : owner_address_(owner_address), + generator_id_(generator_id.IsNil() ? std::nullopt + : std::optional(generator_id)), + object_size_(object_size) {} + rpc::Address owner_address_; + bool is_freed_ = false; + std::optional generator_id_; + size_t object_size_; }; FRIEND_TEST(LocalObjectManagerTest, TestTryToSpillObjectsZero); diff --git a/src/ray/raylet/local_task_manager.cc b/src/ray/raylet/local_task_manager.cc index d37571f3d2f2..cf1956fa91dc 100644 --- a/src/ray/raylet/local_task_manager.cc +++ b/src/ray/raylet/local_task_manager.cc @@ -68,11 +68,11 @@ void LocalTaskManager::QueueAndScheduleTask(std::shared_ptr work // locally. RAY_CHECK(cluster_resource_scheduler_.GetClusterResourceManager().HasFeasibleResources( self_scheduling_node_id_, - ResourceMapToResourceRequest(work->task.GetTaskSpecification() + ResourceMapToResourceRequest(work->task_.GetTaskSpecification() .GetRequiredPlacementResources() .GetResourceMap(), /*requires_object_store_memory=*/false))) - << work->task.GetTaskSpecification().DebugString() << " " + << work->task_.GetTaskSpecification().DebugString() << " " << cluster_resource_scheduler_.GetClusterResourceManager() .GetNodeResources(self_scheduling_node_id_) .DebugString(); @@ -81,7 +81,7 @@ void LocalTaskManager::QueueAndScheduleTask(std::shared_ptr work } void LocalTaskManager::WaitForTaskArgsRequests(std::shared_ptr work) { - const auto &task = work->task; + const auto &task = work->task_; const auto &task_id = task.GetTaskSpecification().TaskId(); const auto &scheduling_key = task.GetTaskSpecification().GetSchedulingClass(); auto object_ids = task.GetTaskSpecification().GetDependencies(); @@ -185,7 +185,7 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { // have the same CPU resource requirements. RAY_CHECK(!cur_dispatch_queue.empty()); const auto &work = cur_dispatch_queue.front(); - const auto &task_spec = work->task.GetTaskSpecification(); + const auto &task_spec = work->task_.GetTaskSpecification(); auto cpu_request_ = task_spec.GetRequiredResources().Get(scheduling::ResourceID::CPU()).Double(); if (cpu_request_ > 0) { @@ -249,7 +249,7 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { bool is_infeasible = false; for (auto work_it = dispatch_queue.begin(); work_it != dispatch_queue.end();) { auto &work = *work_it; - const auto &task = work->task; + const auto &task = work->task_; const auto &spec = task.GetTaskSpecification(); TaskID task_id = spec.TaskId(); if (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER) { @@ -357,7 +357,7 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { sched_cls_info.running_tasks.insert(spec.TaskId()); // The local node has the available resources to run the task, so we should run // it. - work->allocated_instances = allocated_instances; + work->allocated_instances_ = allocated_instances; work->SetStateWaitingForWorker(); bool is_detached_actor = spec.IsDetachedActor(); auto &owner_address = spec.CallerAddress(); @@ -400,7 +400,7 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { info_by_sched_cls_.erase(scheduling_class); } if (is_infeasible) { - const auto &front_task = dispatch_queue.front()->task.GetTaskSpecification(); + const auto &front_task = dispatch_queue.front()->task_.GetTaskSpecification(); RAY_LOG(ERROR) << "A task got scheduled to a node even though it was infeasible. " "Please report an issue on GitHub.\nTask: " << front_task.DebugString(); @@ -437,7 +437,7 @@ void LocalTaskManager::SpillWaitingTasks() { auto it = waiting_task_queue_.end(); while (it != waiting_task_queue_.begin()) { it--; - const auto &task = (*it)->task; + const auto &task = (*it)->task_; const auto &spec = task.GetTaskSpecification(); const auto &task_id = spec.TaskId(); @@ -496,7 +496,7 @@ void LocalTaskManager::SpillWaitingTasks() { bool LocalTaskManager::TrySpillback(const std::shared_ptr &work, bool &is_infeasible) { - const auto &spec = work->task.GetTaskSpecification(); + const auto &spec = work->task_.GetTaskSpecification(); auto scheduling_node_id = cluster_resource_scheduler_.GetBestSchedulableNode( spec, // We should prefer to stay local if possible @@ -530,10 +530,10 @@ bool LocalTaskManager::PoppedWorkerHandler( bool is_detached_actor, const rpc::Address &owner_address, const std::string &runtime_env_setup_error_message) { - const auto &reply = work->reply; - const auto &callback = work->callback; + const auto &reply = work->reply_; + const auto &callback = work->callback_; const bool canceled = work->GetState() == internal::WorkStatus::CANCELLED; - const auto &task = work->task; + const auto &task = work->task_; bool dispatched = false; if (!canceled) { @@ -556,31 +556,32 @@ bool LocalTaskManager::PoppedWorkerHandler( // scheduler_resource_reporter.cc. Maybe we can use `boost::any_range` to only expose // a view of the Work ptrs, but I got dependency issues // (can't include boost/range/any_range.hpp). - auto erase_from_dispatch_queue_fn = [this](const std::shared_ptr &work, - const SchedulingClass &scheduling_class) { - auto shapes_it = tasks_to_dispatch_.find(scheduling_class); - RAY_CHECK(shapes_it != tasks_to_dispatch_.end()); - auto &dispatch_queue = shapes_it->second; - bool erased = false; - for (auto work_it = dispatch_queue.begin(); work_it != dispatch_queue.end(); - work_it++) { - if (*work_it == work) { - dispatch_queue.erase(work_it); - erased = true; - break; - } - } - if (dispatch_queue.empty()) { - tasks_to_dispatch_.erase(shapes_it); - } - RAY_CHECK(erased); + auto erase_from_dispatch_queue_fn = + [this](const std::shared_ptr &work_to_erase, + const SchedulingClass &_scheduling_class) { + auto shapes_it = tasks_to_dispatch_.find(_scheduling_class); + RAY_CHECK(shapes_it != tasks_to_dispatch_.end()); + auto &dispatch_queue = shapes_it->second; + bool erased = false; + for (auto work_it = dispatch_queue.begin(); work_it != dispatch_queue.end(); + work_it++) { + if (*work_it == work_to_erase) { + dispatch_queue.erase(work_it); + erased = true; + break; + } + } + if (dispatch_queue.empty()) { + tasks_to_dispatch_.erase(shapes_it); + } + RAY_CHECK(erased); - const auto &task = work->task; - if (!task.GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies( - task.GetTaskSpecification().TaskId()); - } - }; + const auto &_task = work_to_erase->task_; + if (!_task.GetDependencies().empty()) { + task_dependency_manager_.RemoveTaskDependencies( + _task.GetTaskSpecification().TaskId()); + } + }; if (canceled) { // Task has been canceled. @@ -595,8 +596,8 @@ bool LocalTaskManager::PoppedWorkerHandler( dispatched = false; // We've already acquired resources so we need to release them. cluster_resource_scheduler_.GetLocalResourceManager().ReleaseWorkerResources( - work->allocated_instances); - work->allocated_instances = nullptr; + work->allocated_instances_); + work->allocated_instances_ = nullptr; // Release pinned task args. ReleaseTaskArgs(task_id); RemoveFromRunningTasksIfExists(task); @@ -612,8 +613,8 @@ bool LocalTaskManager::PoppedWorkerHandler( // eventually. The task will be removed from dispatch queue in // `CancelTask`. CancelTasks( - [task_id](const auto &work) { - return task_id == work->task.GetTaskSpecification().TaskId(); + [task_id](const auto &w) { + return task_id == w->task_.GetTaskSpecification().TaskId(); }, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_RUNTIME_ENV_SETUP_FAILED, /*scheduling_failure_message*/ runtime_env_setup_error_message); @@ -643,7 +644,7 @@ bool LocalTaskManager::PoppedWorkerHandler( RAY_LOG(DEBUG) << "Dispatching task " << task_id << " to worker " << worker->WorkerId(); - Dispatch(worker, leased_workers_, work->allocated_instances, task, reply, callback); + Dispatch(worker, leased_workers_, work->allocated_instances_, task, reply, callback); erase_from_dispatch_queue_fn(work, scheduling_class); dispatched = true; } @@ -653,16 +654,16 @@ bool LocalTaskManager::PoppedWorkerHandler( void LocalTaskManager::Spillback(const NodeID &spillback_to, const std::shared_ptr &work) { - auto send_reply_callback = work->callback; + auto send_reply_callback = work->callback_; - if (work->grant_or_reject) { - work->reply->set_rejected(true); + if (work->grant_or_reject_) { + work->reply_->set_rejected(true); send_reply_callback(); return; } num_task_spilled_++; - const auto &task = work->task; + const auto &task = work->task_; const auto &task_spec = task.GetTaskSpecification(); RAY_LOG(DEBUG) << "Spilling task " << task_spec.TaskId() << " to node " << spillback_to; @@ -677,7 +678,7 @@ void LocalTaskManager::Spillback(const NodeID &spillback_to, RAY_CHECK(node_info_ptr) << "Spilling back to a node manager, but no GCS info found for node " << spillback_to; - auto reply = work->reply; + auto reply = work->reply_; reply->mutable_retry_at_raylet_address()->set_ip_address( node_info_ptr->node_manager_address()); reply->mutable_retry_at_raylet_address()->set_port(node_info_ptr->node_manager_port()); @@ -695,7 +696,7 @@ void LocalTaskManager::TasksUnblocked(const std::vector &ready_ids) { auto it = waiting_tasks_index_.find(task_id); if (it != waiting_tasks_index_.end()) { auto work = *it->second; - const auto &task = work->task; + const auto &task = work->task_; const auto &scheduling_key = task.GetTaskSpecification().GetSchedulingClass(); RAY_LOG(DEBUG) << "Args ready, task can be dispatched " << task.GetTaskSpecification().TaskId(); @@ -838,8 +839,8 @@ namespace { void ReplyCancelled(const std::shared_ptr &work, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - auto reply = work->reply; - auto callback = work->callback; + auto reply = work->reply_; + auto callback = work->callback_; reply->set_canceled(true); reply->set_failure_type(failure_type); reply->set_scheduling_failure_message(scheduling_failure_message); @@ -867,11 +868,11 @@ bool LocalTaskManager::CancelTasks( waiting_task_queue_, [&](const std::shared_ptr &work) { if (predicate(work)) { ReplyCancelled(work, failure_type, scheduling_failure_message); - if (!work->task.GetTaskSpecification().GetDependencies().empty()) { + if (!work->task_.GetTaskSpecification().GetDependencies().empty()) { task_dependency_manager_.RemoveTaskDependencies( - work->task.GetTaskSpecification().TaskId()); + work->task_.GetTaskSpecification().TaskId()); } - waiting_tasks_index_.erase(work->task.GetTaskSpecification().TaskId()); + waiting_tasks_index_.erase(work->task_.GetTaskSpecification().TaskId()); tasks_cancelled = true; return true; } else { @@ -886,21 +887,21 @@ void LocalTaskManager::CancelTaskToDispatch( const std::shared_ptr &work, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - const TaskID task_id = work->task.GetTaskSpecification().TaskId(); + const TaskID task_id = work->task_.GetTaskSpecification().TaskId(); RAY_LOG(DEBUG) << "Canceling task " << task_id << " from dispatch queue."; ReplyCancelled(work, failure_type, scheduling_failure_message); if (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER) { // We've already acquired resources so we need to release them. cluster_resource_scheduler_.GetLocalResourceManager().ReleaseWorkerResources( - work->allocated_instances); + work->allocated_instances_); // Release pinned task args. ReleaseTaskArgs(task_id); } - if (!work->task.GetTaskSpecification().GetDependencies().empty()) { + if (!work->task_.GetTaskSpecification().GetDependencies().empty()) { task_dependency_manager_.RemoveTaskDependencies( - work->task.GetTaskSpecification().TaskId()); + work->task_.GetTaskSpecification().TaskId()); } - RemoveFromRunningTasksIfExists(work->task); + RemoveFromRunningTasksIfExists(work->task_); work->SetStateCancelled(); } @@ -914,7 +915,7 @@ const RayTask *LocalTaskManager::AnyPendingTasksForResourceAcquisition( auto &work_queue = shapes_it.second; for (const auto &work_it : work_queue) { const auto &work = *work_it; - const auto &task = work_it->task; + const auto &task = work_it->task_; // If the work is not in the waiting state, it will be scheduled soon or won't be // scheduled. Consider as non-pending. diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index c9f73d3cdf95..7e5f55839d95 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -673,8 +673,8 @@ int main(int argc, char *argv[]) { ray::scheduling::NodeID(raylet_node_id.Binary()), node_manager_config.resource_config.GetResourceMap(), /*is_node_available_fn*/ - [&](ray::scheduling::NodeID node_id) { - return gcs_client->Nodes().Get(NodeID::FromBinary(node_id.Binary())) != nullptr; + [&](ray::scheduling::NodeID id) { + return gcs_client->Nodes().Get(NodeID::FromBinary(id.Binary())) != nullptr; }, /*get_used_object_store_memory*/ [&]() { @@ -697,8 +697,8 @@ int main(int argc, char *argv[]) { /*labels*/ node_manager_config.labels); - auto get_node_info_func = [&](const NodeID &node_id) { - return gcs_client->Nodes().Get(node_id); + auto get_node_info_func = [&](const NodeID &id) { + return gcs_client->Nodes().Get(id); }; auto announce_infeasible_task = [](const ray::RayTask &task) { /// Publish the infeasible task error to GCS so that drivers can subscribe to it @@ -767,11 +767,11 @@ int main(int argc, char *argv[]) { announce_infeasible_task, *local_task_manager); - auto raylet_client_factory = [&](const NodeID &node_id) { - const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(node_id); - RAY_CHECK(node_info) << "No GCS info for node " << node_id; + auto raylet_client_factory = [&](const NodeID &id) { + const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(id); + RAY_CHECK(node_info) << "No GCS info for node " << id; auto addr = ray::rpc::RayletClientPool::GenerateRayletAddress( - node_id, node_info->node_manager_address(), node_info->node_manager_port()); + id, node_info->node_manager_address(), node_info->node_manager_port()); return raylet_client_pool->GetOrConnectByAddress(std::move(addr)); }; diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index d947dd8c845c..c87731497c26 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -515,7 +515,8 @@ void NodeManager::HandleReleaseUnusedBundles(rpc::ReleaseUnusedBundlesRequest re // so that pg bundle can be returned. local_task_manager_.CancelTasks( [&](const std::shared_ptr &work) { - const auto bundle_id = work->task.GetTaskSpecification().PlacementGroupBundleId(); + const auto bundle_id = + work->task_.GetTaskSpecification().PlacementGroupBundleId(); return !bundle_id.first.IsNil() && (0 == in_use_bundles.count(bundle_id)) && (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER); }, @@ -602,10 +603,10 @@ void NodeManager::HandleGetTaskFailureCause(rpc::GetTaskFailureCauseRequest requ auto it = task_failure_reasons_.find(task_id); if (it != task_failure_reasons_.end()) { RAY_LOG(DEBUG) << "task " << task_id << " has failure reason " - << ray::gcs::RayErrorInfoToString(it->second.ray_error_info) - << ", fail immediately: " << !it->second.should_retry; - reply->mutable_failure_cause()->CopyFrom(it->second.ray_error_info); - reply->set_fail_task_immediately(!it->second.should_retry); + << ray::gcs::RayErrorInfoToString(it->second.ray_error_info_) + << ", fail immediately: " << !it->second.should_retry_; + reply->mutable_failure_cause()->CopyFrom(it->second.ray_error_info_); + reply->set_fail_task_immediately(!it->second.should_retry_); } else { RAY_LOG(INFO) << "didn't find failure cause for task " << task_id; } @@ -1125,14 +1126,14 @@ Status NodeManager::ProcessRegisterClientRequestMessageImpl( static_cast(protocol::MessageType::RegisterClientReply), fbb.GetSize(), fbb.GetBufferPointer(), - [this, client](const ray::Status &status) { - if (!status.ok()) { + [this, client](const ray::Status &write_msg_status) { + if (!write_msg_status.ok()) { DisconnectClient(client, /*graceful=*/false, rpc::WorkerExitType::SYSTEM_ERROR, "Worker is failed because the raylet couldn't reply the " "registration request: " + - status.ToString()); + write_msg_status.ToString()); } }); }; @@ -1246,13 +1247,13 @@ void NodeManager::SendPortAnnouncementResponse( static_cast(protocol::MessageType::AnnounceWorkerPortReply), fbb.GetSize(), fbb.GetBufferPointer(), - [this, client](const ray::Status &status) { - if (!status.ok()) { - DisconnectClient( - client, - /*graceful=*/false, - rpc::WorkerExitType::SYSTEM_ERROR, - "Failed to send AnnounceWorkerPortReply to client: " + status.ToString()); + [this, client](const ray::Status &write_msg_status) { + if (!write_msg_status.ok()) { + DisconnectClient(client, + /*graceful=*/false, + rpc::WorkerExitType::SYSTEM_ERROR, + "Failed to send AnnounceWorkerPortReply to client: " + + write_msg_status.ToString()); } }); } @@ -1805,7 +1806,8 @@ void NodeManager::HandleCancelResourceReserve( // In the case of placement group removal, we should cancel all the lease requests. local_task_manager_.CancelTasks( [&](const std::shared_ptr &work) { - const auto bundle_id = work->task.GetTaskSpecification().PlacementGroupBundleId(); + const auto bundle_id = + work->task_.GetTaskSpecification().PlacementGroupBundleId(); return bundle_id.first == bundle_spec.PlacementGroupId(); }, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_PLACEMENT_GROUP_REMOVED, @@ -2573,8 +2575,8 @@ void NodeManager::HandleFormatGlobalMemoryInfo( auto store_reply = [replies, reply, num_nodes, send_reply_callback, include_memory_info]( - rpc::GetNodeStatsReply &&local_reply) { - replies->push_back(std::move(local_reply)); + rpc::GetNodeStatsReply &&get_node_status_local_reply) { + replies->push_back(std::move(get_node_status_local_reply)); if (replies->size() >= num_nodes) { if (include_memory_info) { reply->set_memory_summary(FormatMemoryInfo(*replies)); @@ -2914,7 +2916,7 @@ void NodeManager::GCTaskFailureReason() { for (const auto &entry : task_failure_reasons_) { auto duration = static_cast( std::chrono::duration_cast( - std::chrono::steady_clock::now() - entry.second.creation_time) + std::chrono::steady_clock::now() - entry.second.creation_time_) .count()); if (duration > RayConfig::instance().task_failure_entry_ttl_ms()) { RAY_LOG(INFO).WithField(entry.first) diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index 22978ad459a5..0079aa73b7a4 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -158,8 +158,8 @@ void Raylet::HandleAccept(const boost::system::error_code &error) { if (!error) { ConnectionErrorHandler error_handler = [this]( std::shared_ptr client, - const boost::system::error_code &error) { - node_manager_.HandleClientConnectionError(client, error); + const boost::system::error_code &err) { + node_manager_.HandleClientConnectionError(client, err); }; MessageHandler message_handler = [this](std::shared_ptr client, diff --git a/src/ray/raylet/runtime_env_agent_client.cc b/src/ray/raylet/runtime_env_agent_client.cc index 2c9b04740a31..28d090f57965 100644 --- a/src/ray/raylet/runtime_env_agent_client.cc +++ b/src/ray/raylet/runtime_env_agent_client.cc @@ -230,9 +230,10 @@ class SessionPool { void enqueue(std::shared_ptr session) { if (running_sessions_.size() < max_concurrency_) { running_sessions_.insert(session); - session->run(/*finished_callback=*/[this](std::shared_ptr session) { - this->remove_session_from_running(session); - }); + session->run( + /*finished_callback=*/[this](std::shared_ptr session_to_remove) { + this->remove_session_from_running(session_to_remove); + }); } else { pending_sessions_.emplace(std::move(session)); } diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_task_manager.cc index 18ddbcf5d36d..2eaf1edb2f55 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_task_manager.cc @@ -77,8 +77,8 @@ namespace { void ReplyCancelled(const internal::Work &work, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - auto reply = work.reply; - auto callback = work.callback; + auto reply = work.reply_; + auto callback = work.callback_; reply->set_canceled(true); reply->set_failure_type(failure_type); reply->set_scheduling_failure_message(scheduling_failure_message); @@ -96,7 +96,7 @@ bool ClusterTaskManager::CancelTasks( tasks_to_schedule_, [&](const std::shared_ptr &work) { if (predicate(work)) { RAY_LOG(DEBUG) << "Canceling task " - << work->task.GetTaskSpecification().TaskId() + << work->task_.GetTaskSpecification().TaskId() << " from schedule queue."; ReplyCancelled(*work, failure_type, scheduling_failure_message); tasks_cancelled = true; @@ -110,7 +110,7 @@ bool ClusterTaskManager::CancelTasks( infeasible_tasks_, [&](const std::shared_ptr &work) { if (predicate(work)) { RAY_LOG(DEBUG) << "Canceling task " - << work->task.GetTaskSpecification().TaskId() + << work->task_.GetTaskSpecification().TaskId() << " from infeasible queue."; ReplyCancelled(*work, failure_type, scheduling_failure_message); tasks_cancelled = true; @@ -159,7 +159,7 @@ bool ClusterTaskManager::IsWorkWithResourceShape( const std::shared_ptr &work, const std::vector &target_resource_shapes) { SchedulingClass scheduling_class = - work->task.GetTaskSpecification().GetSchedulingClass(); + work->task_.GetTaskSpecification().GetSchedulingClass(); ResourceSet resource_set = TaskSpecification::GetSchedulingClassDescriptor(scheduling_class).resource_set; for (const auto &target_resource_shape : target_resource_shapes) { @@ -177,8 +177,8 @@ bool ClusterTaskManager::CancelAllTasksOwnedBy( // Only tasks and regular actors are canceled because their lifetime is // the same as the owner. auto predicate = [node_id](const std::shared_ptr &work) { - return !work->task.GetTaskSpecification().IsDetachedActor() && - work->task.GetTaskSpecification().CallerNodeId() == node_id; + return !work->task_.GetTaskSpecification().IsDetachedActor() && + work->task_.GetTaskSpecification().CallerNodeId() == node_id; }; return CancelTasks(predicate, failure_type, scheduling_failure_message); @@ -191,8 +191,8 @@ bool ClusterTaskManager::CancelAllTasksOwnedBy( // Only tasks and regular actors are canceled because their lifetime is // the same as the owner. auto predicate = [worker_id](const std::shared_ptr &work) { - return !work->task.GetTaskSpecification().IsDetachedActor() && - work->task.GetTaskSpecification().CallerWorkerId() == worker_id; + return !work->task_.GetTaskSpecification().IsDetachedActor() && + work->task_.GetTaskSpecification().CallerWorkerId() == worker_id; }; return CancelTasks(predicate, failure_type, scheduling_failure_message); @@ -213,7 +213,7 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { // there are not enough available resources blocks other // tasks from being scheduled. const std::shared_ptr &work = *work_it; - RayTask task = work->task; + RayTask task = work->task_; RAY_LOG(DEBUG) << "Scheduling pending task " << task.GetTaskSpecification().TaskId(); auto scheduling_node_id = cluster_resource_scheduler_.GetBestSchedulableNode( @@ -269,7 +269,7 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { // Only announce the first item as infeasible. auto &cur_work_queue = shapes_it->second; const auto &work = cur_work_queue[0]; - const RayTask task = work->task; + const RayTask task = work->task_; if (announce_infeasible_task_) { announce_infeasible_task_(task); } @@ -306,7 +306,7 @@ void ClusterTaskManager::TryScheduleInfeasibleTask() { // We only need to check the first item because every task has the same shape. // If the first entry is infeasible, that means everything else is the same. const auto work = work_queue[0]; - RayTask task = work->task; + RayTask task = work->task_; RAY_LOG(DEBUG) << "Check if the infeasible task is schedulable in any node. task_id:" << task.GetTaskSpecification().TaskId(); bool is_infeasible; @@ -339,7 +339,7 @@ bool ClusterTaskManager::CancelTask( rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { auto predicate = [task_id](const std::shared_ptr &work) { - return work->task.GetTaskSpecification().TaskId() == task_id; + return work->task_.GetTaskSpecification().TaskId() == task_id; }; return CancelTasks(predicate, failure_type, scheduling_failure_message); @@ -373,7 +373,7 @@ const RayTask *ClusterTaskManager::AnyPendingTasksForResourceAcquisition( auto &work_queue = shapes_it.second; for (const auto &work_it : work_queue) { const auto &work = *work_it; - const auto &task = work_it->task; + const auto &task = work_it->task_; // If the work is not in the waiting state, it will be scheduled soon or won't be // scheduled. Consider as non-pending. @@ -426,17 +426,17 @@ void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, return; } - auto send_reply_callback = work->callback; + auto send_reply_callback = work->callback_; - if (work->grant_or_reject) { - work->reply->set_rejected(true); + if (work->grant_or_reject_) { + work->reply_->set_rejected(true); send_reply_callback(); return; } internal_stats_.TaskSpilled(); - const auto &task = work->task; + const auto &task = work->task_; const auto &task_spec = task.GetTaskSpecification(); RAY_LOG(DEBUG) << "Spilling task " << task_spec.TaskId() << " to node " << spillback_to; @@ -451,7 +451,7 @@ void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, RAY_CHECK(node_info_ptr) << "Spilling back to a node manager, but no GCS info found for node " << spillback_to; - auto reply = work->reply; + auto reply = work->reply_; reply->mutable_retry_at_raylet_address()->set_ip_address( node_info_ptr->node_manager_address()); reply->mutable_retry_at_raylet_address()->set_port(node_info_ptr->node_manager_port()); diff --git a/src/ray/raylet/scheduling/internal.h b/src/ray/raylet/scheduling/internal.h index 66630199bafc..8e98eb342ff2 100644 --- a/src/ray/raylet/scheduling/internal.h +++ b/src/ray/raylet/scheduling/internal.h @@ -55,24 +55,24 @@ enum class UnscheduledWorkCause { /// dispatch/spillback and the callback to trigger it. class Work { public: - RayTask task; - bool grant_or_reject; - bool is_selected_based_on_locality; - rpc::RequestWorkerLeaseReply *reply; - std::function callback; - std::shared_ptr allocated_instances; + RayTask task_; + bool grant_or_reject_; + bool is_selected_based_on_locality_; + rpc::RequestWorkerLeaseReply *reply_; + std::function callback_; + std::shared_ptr allocated_instances_; Work(RayTask task, bool grant_or_reject, bool is_selected_based_on_locality, rpc::RequestWorkerLeaseReply *reply, std::function callback, WorkStatus status = WorkStatus::WAITING) - : task(std::move(task)), - grant_or_reject(grant_or_reject), - is_selected_based_on_locality(is_selected_based_on_locality), - reply(reply), - callback(std::move(callback)), - allocated_instances(nullptr), + : task_(std::move(task)), + grant_or_reject_(grant_or_reject), + is_selected_based_on_locality_(is_selected_based_on_locality), + reply_(reply), + callback_(std::move(callback)), + allocated_instances_(nullptr), status_(status){}; Work(const Work &Work) = delete; Work &operator=(const Work &work) = delete; @@ -95,7 +95,7 @@ class Work { UnscheduledWorkCause GetUnscheduledCause() const { return unscheduled_work_cause_; } bool PrioritizeLocalNode() const { - return grant_or_reject || is_selected_based_on_locality; + return grant_or_reject_ || is_selected_based_on_locality_; } private: diff --git a/src/ray/raylet/scheduling/policy/affinity_with_bundle_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/affinity_with_bundle_scheduling_policy.cc index bfe46d314abc..7d27b2892552 100644 --- a/src/ray/raylet/scheduling/policy/affinity_with_bundle_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/affinity_with_bundle_scheduling_policy.cc @@ -43,11 +43,11 @@ bool AffinityWithBundleSchedulingPolicy::IsNodeFeasibleAndAvailable( scheduling::NodeID AffinityWithBundleSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.scheduling_type == SchedulingType::AFFINITY_WITH_BUNDLE); + RAY_CHECK(options.scheduling_type_ == SchedulingType::AFFINITY_WITH_BUNDLE); auto bundle_scheduling_context = dynamic_cast( - options.scheduling_context.get()); + options.scheduling_context_.get()); const BundleID &bundle_id = bundle_scheduling_context->GetAffinityBundleID(); if (bundle_id.second != -1) { const auto &node_id_opt = bundle_location_index_.GetBundleLocation(bundle_id); @@ -63,7 +63,7 @@ scheduling::NodeID AffinityWithBundleSchedulingPolicy::Schedule( const auto &bundle_locations_opt = bundle_location_index_.GetBundleLocations(pg_id); if (bundle_locations_opt) { // Find a target with gpu nodes avoided (if required). - if (options.avoid_gpu_nodes) { + if (options.avoid_gpu_nodes_) { for (const auto &iter : *(bundle_locations_opt.value())) { auto target_node_id = scheduling::NodeID(iter.second.first.Binary()); if (IsNodeFeasibleAndAvailable( diff --git a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc index a758dba70b7a..2eac56977c51 100644 --- a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc @@ -216,7 +216,7 @@ std::pair BundleSchedulingPolicy::GetBestNode( if (AllocationWillExceedMaxCpuFraction( node_resources, required_resources, - options.max_cpu_fraction_per_node, + options.max_cpu_fraction_per_node_, available_cpus_before_bundle_scheduling.at(node_id))) { continue; } @@ -240,7 +240,7 @@ SchedulingResult BundlePackSchedulingPolicy::Schedule( SchedulingOptions options) { RAY_CHECK(!resource_request_list.empty()); - auto candidate_nodes = SelectCandidateNodes(options.scheduling_context.get()); + auto candidate_nodes = SelectCandidateNodes(options.scheduling_context_.get()); if (candidate_nodes.empty()) { RAY_LOG(DEBUG) << "The candidate nodes is empty, return directly."; return SchedulingResult::Infeasible(); @@ -290,7 +290,7 @@ SchedulingResult BundlePackSchedulingPolicy::Schedule( // exceed max cpu fraction. node_resources, *iter->second, - options.max_cpu_fraction_per_node, + options.max_cpu_fraction_per_node_, available_cpus_before_bundle_scheduling.at(best_node.first))) { // Then allocate it. RAY_CHECK(cluster_resource_manager_.SubtractNodeAvailableResources( @@ -329,7 +329,7 @@ SchedulingResult BundleSpreadSchedulingPolicy::Schedule( SchedulingOptions options) { RAY_CHECK(!resource_request_list.empty()); - auto candidate_nodes = SelectCandidateNodes(options.scheduling_context.get()); + auto candidate_nodes = SelectCandidateNodes(options.scheduling_context_.get()); if (candidate_nodes.empty()) { RAY_LOG(DEBUG) << "The candidate nodes is empty, return directly."; return SchedulingResult::Infeasible(); @@ -399,7 +399,7 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( SchedulingOptions options) { RAY_CHECK(!resource_request_list.empty()); - auto candidate_nodes = SelectCandidateNodes(options.scheduling_context.get()); + auto candidate_nodes = SelectCandidateNodes(options.scheduling_context_.get()); if (candidate_nodes.empty()) { RAY_LOG(DEBUG) << "The candidate nodes is empty, return directly."; return SchedulingResult::Infeasible(); @@ -431,7 +431,7 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( // exceed max cpu fraction. node_resources, aggregated_resource_request, - options.max_cpu_fraction_per_node, + options.max_cpu_fraction_per_node_, available_cpus_before_bundle_scheduling.at(entry.first))); return allocatable; }); @@ -444,13 +444,13 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( std::pair best_node(scheduling::NodeID::Nil(), nullptr); - if (!options.bundle_strict_pack_soft_target_node_id.IsNil()) { - if (candidate_nodes.contains(options.bundle_strict_pack_soft_target_node_id)) { + if (!options.bundle_strict_pack_soft_target_node_id_.IsNil()) { + if (candidate_nodes.contains(options.bundle_strict_pack_soft_target_node_id_)) { best_node = GetBestNode( aggregated_resource_request, absl::flat_hash_map{ - {options.bundle_strict_pack_soft_target_node_id, - candidate_nodes[options.bundle_strict_pack_soft_target_node_id]}}, + {options.bundle_strict_pack_soft_target_node_id_, + candidate_nodes[options.bundle_strict_pack_soft_target_node_id_]}}, options, available_cpus_before_bundle_scheduling); } @@ -485,7 +485,7 @@ SchedulingResult BundleStrictSpreadSchedulingPolicy::Schedule( RAY_CHECK(!resource_request_list.empty()); // Filter candidate nodes. - auto candidate_nodes = SelectCandidateNodes(options.scheduling_context.get()); + auto candidate_nodes = SelectCandidateNodes(options.scheduling_context_.get()); if (candidate_nodes.empty()) { RAY_LOG(DEBUG) << "The candidate nodes is empty, return directly."; return SchedulingResult::Infeasible(); diff --git a/src/ray/raylet/scheduling/policy/composite_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/composite_scheduling_policy.cc index 1cb8a5677445..5afb5763cc5d 100644 --- a/src/ray/raylet/scheduling/policy/composite_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/composite_scheduling_policy.cc @@ -22,7 +22,7 @@ namespace raylet_scheduling_policy { scheduling::NodeID CompositeSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - switch (options.scheduling_type) { + switch (options.scheduling_type_) { case SchedulingType::SPREAD: return spread_policy_.Schedule(resource_request, options); case SchedulingType::RANDOM: @@ -38,7 +38,7 @@ scheduling::NodeID CompositeSchedulingPolicy::Schedule( default: RAY_LOG(FATAL) << "Unsupported scheduling type: " << static_cast::type>( - options.scheduling_type); + options.scheduling_type_); } UNREACHABLE; } @@ -46,7 +46,7 @@ scheduling::NodeID CompositeSchedulingPolicy::Schedule( SchedulingResult CompositeBundleSchedulingPolicy::Schedule( const std::vector &resource_request_list, SchedulingOptions options) { - switch (options.scheduling_type) { + switch (options.scheduling_type_) { case SchedulingType::BUNDLE_PACK: return bundle_pack_policy_.Schedule(resource_request_list, options); case SchedulingType::BUNDLE_SPREAD: @@ -58,7 +58,7 @@ SchedulingResult CompositeBundleSchedulingPolicy::Schedule( default: RAY_LOG(FATAL) << "Unsupported scheduling type: " << static_cast::type>( - options.scheduling_type); + options.scheduling_type_); } UNREACHABLE; } diff --git a/src/ray/raylet/scheduling/policy/composite_scheduling_policy.h b/src/ray/raylet/scheduling/policy/composite_scheduling_policy.h index d5cf66ae8be3..185a29521619 100644 --- a/src/ray/raylet/scheduling/policy/composite_scheduling_policy.h +++ b/src/ray/raylet/scheduling/policy/composite_scheduling_policy.h @@ -29,7 +29,7 @@ namespace ray { namespace raylet_scheduling_policy { /// A composite scheduling policy that routes the request to the underlining -/// scheduling_policy according to the scheduling_type. +/// scheduling_policy according to the scheduling_type_. class CompositeSchedulingPolicy : public ISchedulingPolicy { public: CompositeSchedulingPolicy(scheduling::NodeID local_node_id, @@ -64,7 +64,7 @@ class CompositeSchedulingPolicy : public ISchedulingPolicy { }; /// A composite scheduling policy that routes the request to the underlining -/// bundle_scheduling_policy according to the scheduling_type. +/// bundle_scheduling_policy according to the scheduling_type_. class CompositeBundleSchedulingPolicy : public IBundleSchedulingPolicy { public: explicit CompositeBundleSchedulingPolicy( diff --git a/src/ray/raylet/scheduling/policy/hybrid_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/hybrid_scheduling_policy.cc index 6bf60d2a2d8a..1f82f2d6f153 100644 --- a/src/ray/raylet/scheduling/policy/hybrid_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/hybrid_scheduling_policy.cc @@ -182,28 +182,28 @@ scheduling::NodeID HybridSchedulingPolicy::ScheduleImpl( scheduling::NodeID HybridSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.scheduling_type == SchedulingType::HYBRID) + RAY_CHECK(options.scheduling_type_ == SchedulingType::HYBRID) << "HybridPolicy policy requires type = HYBRID"; - if (!options.avoid_gpu_nodes || resource_request.Has(ResourceID::GPU())) { + if (!options.avoid_gpu_nodes_ || resource_request.Has(ResourceID::GPU())) { return ScheduleImpl(resource_request, - options.spread_threshold, - options.avoid_local_node, - options.require_node_available, + options.spread_threshold_, + options.avoid_local_node_, + options.require_node_available_, NodeFilter::kAny, - options.preferred_node_id, - options.schedule_top_k_absolute, - options.scheduler_top_k_fraction); + options.preferred_node_id_, + options.schedule_top_k_absolute_, + options.scheduler_top_k_fraction_); } // Try schedule on non-GPU nodes. auto best_node_id = ScheduleImpl(resource_request, - options.spread_threshold, - options.avoid_local_node, + options.spread_threshold_, + options.avoid_local_node_, /*require_node_available*/ true, NodeFilter::kNonGpu, - options.preferred_node_id, - options.schedule_top_k_absolute, - options.scheduler_top_k_fraction); + options.preferred_node_id_, + options.schedule_top_k_absolute_, + options.scheduler_top_k_fraction_); if (!best_node_id.IsNil()) { return best_node_id; } @@ -211,13 +211,13 @@ scheduling::NodeID HybridSchedulingPolicy::Schedule( // If we cannot find any available node from non-gpu nodes, fallback to the original // scheduling return ScheduleImpl(resource_request, - options.spread_threshold, - options.avoid_local_node, - options.require_node_available, + options.spread_threshold_, + options.avoid_local_node_, + options.require_node_available_, NodeFilter::kAny, - options.preferred_node_id, - options.schedule_top_k_absolute, - options.scheduler_top_k_fraction); + options.preferred_node_id_, + options.schedule_top_k_absolute_, + options.scheduler_top_k_fraction_); } } // namespace raylet_scheduling_policy diff --git a/src/ray/raylet/scheduling/policy/node_affinity_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/node_affinity_scheduling_policy.cc index 737aa33a80f8..13e4dea53ed5 100644 --- a/src/ray/raylet/scheduling/policy/node_affinity_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/node_affinity_scheduling_policy.cc @@ -19,24 +19,24 @@ namespace raylet_scheduling_policy { scheduling::NodeID NodeAffinitySchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.scheduling_type == SchedulingType::NODE_AFFINITY); + RAY_CHECK(options.scheduling_type_ == SchedulingType::NODE_AFFINITY); - scheduling::NodeID target_node_id = scheduling::NodeID(options.node_affinity_node_id); + scheduling::NodeID target_node_id = scheduling::NodeID(options.node_affinity_node_id_); if (nodes_.contains(target_node_id) && is_node_alive_(target_node_id) && nodes_.at(target_node_id).GetLocalView().IsFeasible(resource_request)) { - if (!options.node_affinity_spill_on_unavailable && - !options.node_affinity_fail_on_unavailable) { + if (!options.node_affinity_spill_on_unavailable_ && + !options.node_affinity_fail_on_unavailable_) { return target_node_id; } else if (nodes_.at(target_node_id).GetLocalView().IsAvailable(resource_request)) { return target_node_id; } } - if (!options.node_affinity_soft) { + if (!options.node_affinity_soft_) { return scheduling::NodeID::Nil(); } - options.scheduling_type = SchedulingType::HYBRID; + options.scheduling_type_ = SchedulingType::HYBRID; return hybrid_policy_.Schedule(resource_request, options); } diff --git a/src/ray/raylet/scheduling/policy/node_label_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/node_label_scheduling_policy.cc index c5393b464198..2bbd935a96dd 100644 --- a/src/ray/raylet/scheduling/policy/node_label_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/node_label_scheduling_policy.cc @@ -21,9 +21,9 @@ namespace raylet_scheduling_policy { scheduling::NodeID NodeLabelSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.scheduling_type == SchedulingType::NODE_LABEL); + RAY_CHECK(options.scheduling_type_ == SchedulingType::NODE_LABEL); auto context = - dynamic_cast(options.scheduling_context.get()); + dynamic_cast(options.scheduling_context_.get()); const auto &scheduling_strategy = context->GetSchedulingStrategy(); RAY_CHECK(scheduling_strategy.has_node_label_scheduling_strategy()); const auto &node_label_scheduling_strategy = diff --git a/src/ray/raylet/scheduling/policy/random_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/random_scheduling_policy.cc index 423aad73ca9c..f48a0c9c5bf1 100644 --- a/src/ray/raylet/scheduling/policy/random_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/random_scheduling_policy.cc @@ -22,15 +22,15 @@ namespace raylet_scheduling_policy { scheduling::NodeID RandomSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.scheduling_type == SchedulingType::RANDOM) + RAY_CHECK(options.scheduling_type_ == SchedulingType::RANDOM) << "HybridPolicy policy requires type = RANDOM"; scheduling::NodeID best_node = scheduling::NodeID::Nil(); if (nodes_.empty()) { return best_node; } - RAY_CHECK(options.spread_threshold == 0 && !options.avoid_local_node && - options.require_node_available && !options.avoid_gpu_nodes) + RAY_CHECK(options.spread_threshold_ == 0 && !options.avoid_local_node_ && + options.require_node_available_ && !options.avoid_gpu_nodes_) << "Random policy requires spread_threshold = 0, " << "avoid_local_node = false, " << "require_node_available = true, " diff --git a/src/ray/raylet/scheduling/policy/scheduling_options.h b/src/ray/raylet/scheduling/policy/scheduling_options.h index 6a44cec601e4..fe1d1f2bb8ad 100644 --- a/src/ray/raylet/scheduling/policy/scheduling_options.h +++ b/src/ray/raylet/scheduling/policy/scheduling_options.h @@ -87,11 +87,11 @@ struct SchedulingOptions { } SchedulingOptions scheduling_options = Hybrid(avoid_local_node, require_node_available); - scheduling_options.scheduling_type = SchedulingType::NODE_AFFINITY; - scheduling_options.node_affinity_node_id = node_id; - scheduling_options.node_affinity_soft = soft; - scheduling_options.node_affinity_spill_on_unavailable = spill_on_unavailable; - scheduling_options.node_affinity_fail_on_unavailable = fail_on_unavailable; + scheduling_options.scheduling_type_ = SchedulingType::NODE_AFFINITY; + scheduling_options.node_affinity_node_id_ = node_id; + scheduling_options.node_affinity_soft_ = soft; + scheduling_options.node_affinity_spill_on_unavailable_ = spill_on_unavailable; + scheduling_options.node_affinity_fail_on_unavailable_ = fail_on_unavailable; return scheduling_options; } @@ -157,7 +157,7 @@ struct SchedulingOptions { /*require_node_available*/ true, /*avoid_gpu_nodes*/ false, /*max_cpu_fraction_per_node*/ max_cpu_fraction_per_node); - scheduling_options.bundle_strict_pack_soft_target_node_id = soft_target_node_id; + scheduling_options.bundle_strict_pack_soft_target_node_id_ = soft_target_node_id; return scheduling_options; } @@ -174,32 +174,32 @@ struct SchedulingOptions { /*scheduling_context*/ std::move(scheduling_context)); } - SchedulingType scheduling_type; - float spread_threshold; - bool avoid_local_node; - bool require_node_available; - bool avoid_gpu_nodes; + SchedulingType scheduling_type_; + float spread_threshold_; + bool avoid_local_node_; + bool require_node_available_; + bool avoid_gpu_nodes_; // Maximum reservable CPU fraction per node. It is applied across multiple // bundles, individually. E.g., when you have 2 bundles {CPU: 4} from 2 different // scheduilng request, and there's one node with {CPU: 8}, only 1 bundle from 1 request // can be scheduled on this node. This is only used for bundle scheduling policies // (bundle pack, spread). - double max_cpu_fraction_per_node; + double max_cpu_fraction_per_node_; // ID of the target node where bundles should be placed // iff the target node has enough available resources. // Otherwise, the bundles can be placed elsewhere. // This is only used by PG STRICT_PACK scheduling. - scheduling::NodeID bundle_strict_pack_soft_target_node_id = scheduling::NodeID::Nil(); - std::shared_ptr scheduling_context; - std::string node_affinity_node_id; - bool node_affinity_soft = false; - bool node_affinity_spill_on_unavailable = false; - bool node_affinity_fail_on_unavailable = false; + scheduling::NodeID bundle_strict_pack_soft_target_node_id_ = scheduling::NodeID::Nil(); + std::shared_ptr scheduling_context_; + std::string node_affinity_node_id_; + bool node_affinity_soft_ = false; + bool node_affinity_spill_on_unavailable_ = false; + bool node_affinity_fail_on_unavailable_ = false; // The node where the task is preferred to be placed. By default, this node id // is empty, which means no preferred node. - std::string preferred_node_id; - int32_t schedule_top_k_absolute; - float scheduler_top_k_fraction; + std::string preferred_node_id_; + int32_t schedule_top_k_absolute_; + float scheduler_top_k_fraction_; private: SchedulingOptions( @@ -213,16 +213,16 @@ struct SchedulingOptions { const std::string &preferred_node_id = std::string(), int32_t schedule_top_k_absolute = RayConfig::instance().scheduler_top_k_absolute(), float scheduler_top_k_fraction = RayConfig::instance().scheduler_top_k_fraction()) - : scheduling_type(type), - spread_threshold(spread_threshold), - avoid_local_node(avoid_local_node), - require_node_available(require_node_available), - avoid_gpu_nodes(avoid_gpu_nodes), - max_cpu_fraction_per_node(max_cpu_fraction_per_node), - scheduling_context(std::move(scheduling_context)), - preferred_node_id(preferred_node_id), - schedule_top_k_absolute(schedule_top_k_absolute), - scheduler_top_k_fraction(scheduler_top_k_fraction) {} + : scheduling_type_(type), + spread_threshold_(spread_threshold), + avoid_local_node_(avoid_local_node), + require_node_available_(require_node_available), + avoid_gpu_nodes_(avoid_gpu_nodes), + max_cpu_fraction_per_node_(max_cpu_fraction_per_node), + scheduling_context_(std::move(scheduling_context)), + preferred_node_id_(preferred_node_id), + schedule_top_k_absolute_(schedule_top_k_absolute), + scheduler_top_k_fraction_(scheduler_top_k_fraction) {} friend class ::ray::raylet::SchedulingPolicyTest; friend class HybridSchedulingPolicyTest; diff --git a/src/ray/raylet/scheduling/policy/spread_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/spread_scheduling_policy.cc index 076d1845dcb6..1d53494ddbcc 100644 --- a/src/ray/raylet/scheduling/policy/spread_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/spread_scheduling_policy.cc @@ -24,8 +24,8 @@ namespace raylet_scheduling_policy { scheduling::NodeID SpreadSchedulingPolicy::Schedule( const ResourceRequest &resource_request, SchedulingOptions options) { - RAY_CHECK(options.spread_threshold == 0 && - options.scheduling_type == SchedulingType::SPREAD) + RAY_CHECK(options.spread_threshold_ == 0 && + options.scheduling_type_ == SchedulingType::SPREAD) << "SpreadPolicy policy requires spread_threshold = 0 and type = SPREAD"; std::vector round; round.reserve(nodes_.size()); @@ -37,13 +37,13 @@ scheduling::NodeID SpreadSchedulingPolicy::Schedule( // Spread among available nodes first. // If there is no available nodes, we spread among feasible nodes. for (bool available_nodes_only : - (options.require_node_available ? std::vector{true} - : std::vector{true, false})) { + (options.require_node_available_ ? std::vector{true} + : std::vector{true, false})) { size_t round_index = spread_scheduling_next_index_; for (size_t i = 0; i < round.size(); ++i, ++round_index) { const auto &node_id = round[round_index % round.size()]; const auto &node = map_find_or_die(nodes_, node_id); - if (node_id == local_node_id_ && options.avoid_local_node) { + if (node_id == local_node_id_ && options.avoid_local_node_) { continue; } if (!is_node_alive_(node_id) || !node.GetLocalView().IsFeasible(resource_request)) { diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc index 0523851724a0..597e7ddf5277 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc @@ -139,7 +139,7 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons auto cnt = pair.second.size(); // We should only report dispatching tasks that do not have resources allocated. for (const auto &task : pair.second) { - if (task->allocated_instances) { + if (task->allocated_instances_) { cnt--; } } diff --git a/src/ray/raylet/wait_manager.cc b/src/ray/raylet/wait_manager.cc index 8745848f2f59..ae26e0cf9e56 100644 --- a/src/ray/raylet/wait_manager.cc +++ b/src/ray/raylet/wait_manager.cc @@ -40,19 +40,19 @@ void WaitManager::Wait(const std::vector &object_ids, auto &wait_request = wait_requests_.at(wait_id); for (const auto &object_id : object_ids) { if (is_object_local_(object_id)) { - wait_request.ready.emplace(object_id); + wait_request.ready_.emplace(object_id); } } - for (const auto &object_id : wait_request.object_ids) { + for (const auto &object_id : wait_request.object_ids_) { object_to_wait_requests_[object_id].emplace(wait_id); } - if (wait_request.ready.size() >= wait_request.num_required_objects || - wait_request.timeout_ms == 0) { + if (wait_request.ready_.size() >= wait_request.num_required_objects_ || + wait_request.timeout_ms_ == 0) { // Requirements already satisfied. WaitComplete(wait_id); - } else if (wait_request.timeout_ms != -1) { + } else if (wait_request.timeout_ms_ != -1) { // If a timeout was provided, then set a timer. If there are no // enough locally available objects by the time the timer expires, // then we will return from the Wait. @@ -65,14 +65,14 @@ void WaitManager::Wait(const std::vector &object_ids, } WaitComplete(wait_id); }, - wait_request.timeout_ms); + wait_request.timeout_ms_); } } void WaitManager::WaitComplete(uint64_t wait_id) { auto &wait_request = map_find_or_die(wait_requests_, wait_id); - for (const auto &object_id : wait_request.object_ids) { + for (const auto &object_id : wait_request.object_ids_) { auto &requests = object_to_wait_requests_.at(object_id); requests.erase(wait_id); if (requests.empty()) { @@ -83,15 +83,15 @@ void WaitManager::WaitComplete(uint64_t wait_id) { // Order objects according to input order. std::vector ready; std::vector remaining; - for (const auto &object_id : wait_request.object_ids) { - if (ready.size() < wait_request.num_required_objects && - wait_request.ready.count(object_id) > 0) { + for (const auto &object_id : wait_request.object_ids_) { + if (ready.size() < wait_request.num_required_objects_ && + wait_request.ready_.count(object_id) > 0) { ready.push_back(object_id); } else { remaining.push_back(object_id); } } - wait_request.callback(ready, remaining); + wait_request.callback_(ready, remaining); wait_requests_.erase(wait_id); RAY_LOG(DEBUG) << "Wait request " << wait_id << " finished: ready " << ready.size() << " remaining " << remaining.size(); @@ -105,8 +105,8 @@ void WaitManager::HandleObjectLocal(const ray::ObjectID &object_id) { std::vector complete_waits; for (const auto &wait_id : object_to_wait_requests_.at(object_id)) { auto &wait_request = map_find_or_die(wait_requests_, wait_id); - wait_request.ready.emplace(object_id); - if (wait_request.ready.size() >= wait_request.num_required_objects) { + wait_request.ready_.emplace(object_id); + if (wait_request.ready_.size() >= wait_request.num_required_objects_) { complete_waits.emplace_back(wait_id); } } diff --git a/src/ray/raylet/wait_manager.h b/src/ray/raylet/wait_manager.h index 5b9f3cad0d45..de66735165c3 100644 --- a/src/ray/raylet/wait_manager.h +++ b/src/ray/raylet/wait_manager.h @@ -66,20 +66,20 @@ class WaitManager { const WaitCallback &callback, const std::vector &object_ids, uint64_t num_required_objects) - : timeout_ms(timeout_ms), - callback(callback), - object_ids(object_ids), - num_required_objects(num_required_objects) {} + : timeout_ms_(timeout_ms), + callback_(callback), + object_ids_(object_ids), + num_required_objects_(num_required_objects) {} /// The period of time to wait before invoking the callback. - const int64_t timeout_ms; + const int64_t timeout_ms_; /// The callback invoked when Wait is complete. - WaitCallback callback; + WaitCallback callback_; /// Ordered input object_ids. - const std::vector object_ids; + const std::vector object_ids_; /// The number of required objects. - const uint64_t num_required_objects; + const uint64_t num_required_objects_; /// The objects that have been locally available. - std::unordered_set ready; + std::unordered_set ready_; }; /// Completion handler for Wait. diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.h b/src/ray/raylet/worker_killing_policy_group_by_owner.h index c5f3e95b5282..2d57b6227662 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.h +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.h @@ -35,8 +35,8 @@ namespace raylet { /// Key groups on its owner id. For non-retriable task the owner id is itself, /// Since non-retriable task forms its own group. struct GroupKey { - explicit GroupKey(const TaskID &owner_id) : owner_id(owner_id) {} - const TaskID &owner_id; + explicit GroupKey(const TaskID &owner_id) : owner_id_(owner_id) {} + const TaskID &owner_id_; }; struct Group { diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 0b4f61a18576..76335cf95924 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -117,7 +117,7 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, gcs_client_(gcs_client), native_library_path_(std::move(native_library_path)), starting_worker_timeout_callback_(std::move(starting_worker_timeout_callback)), - ray_debugger_external(ray_debugger_external), + ray_debugger_external_(ray_debugger_external), first_job_registered_python_worker_count_(0), first_job_driver_wait_num_python_workers_( std::min(num_prestarted_python_workers, maximum_startup_concurrency_)), @@ -389,7 +389,7 @@ WorkerPool::BuildProcessCommandArgs(const Language &language, worker_command_args.push_back("--language=" + Language_Name(language)); } - if (ray_debugger_external) { + if (ray_debugger_external_) { worker_command_args.push_back("--ray-debugger-external"); } @@ -627,14 +627,14 @@ void WorkerPool::MonitorPopWorkerRequestForRegistration( // Capture timer in lambda to copy it once, so that it can avoid destructing timer. timer->async_wait([timer, pop_worker_request = std::move(pop_worker_request), this]( const boost::system::error_code e) mutable { - auto &state = GetStateForLanguage(pop_worker_request->language); + auto &state = GetStateForLanguage(pop_worker_request->language_); auto &requests = state.pending_registration_requests; auto it = std::find(requests.begin(), requests.end(), pop_worker_request); if (it != requests.end()) { // Pop and fail the task... requests.erase(it); PopWorkerStatus status = PopWorkerStatus::WorkerPendingRegistration; - PopWorkerCallbackAsync(pop_worker_request->callback, nullptr, status); + PopWorkerCallbackAsync(pop_worker_request->callback_, nullptr, status); } }); } @@ -1061,9 +1061,8 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { auto it = std::find_if( state.pending_registration_requests.begin(), state.pending_registration_requests.end(), - [this, &worker](const std::shared_ptr &pop_worker_request) { - return WorkerFitsForTask(*worker, *pop_worker_request) == - WorkerUnfitForTaskReason::NONE; + [this, &worker](const std::shared_ptr &request) { + return WorkerFitsForTask(*worker, *request) == WorkerUnfitForTaskReason::NONE; }); if (it != state.pending_registration_requests.end()) { pop_worker_request = *it; @@ -1074,9 +1073,8 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { auto it = std::find_if( state.pending_start_requests.begin(), state.pending_start_requests.end(), - [this, &worker](const std::shared_ptr &pop_worker_request) { - return WorkerFitsForTask(*worker, *pop_worker_request) == - WorkerUnfitForTaskReason::NONE; + [this, &worker](const std::shared_ptr &request) { + return WorkerFitsForTask(*worker, *request) == WorkerUnfitForTaskReason::NONE; }); if (it != state.pending_start_requests.end()) { pop_worker_request = *it; @@ -1085,7 +1083,7 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { } if (pop_worker_request) { - bool used = pop_worker_request->callback(worker, PopWorkerStatus::OK, ""); + bool used = pop_worker_request->callback_(worker, PopWorkerStatus::OK, ""); if (!used) { // Retry PushWorker. Maybe it can be used by other tasks. // Can we have tail call optimization for this? :) @@ -1207,9 +1205,9 @@ void WorkerPool::KillIdleWorker(const IdleWorkerEntry &entry) { } rpc_client->Exit( request, [this, entry](const ray::Status &status, const rpc::ExitReply &r) { - const auto &idle_worker = entry.worker; + const auto &worker = entry.worker; - RAY_CHECK(pending_exit_idle_workers_.erase(idle_worker->WorkerId())); + RAY_CHECK(pending_exit_idle_workers_.erase(worker->WorkerId())); if (!status.ok()) { RAY_LOG(ERROR) << "Failed to send exit request: " << status.ToString(); } @@ -1217,19 +1215,19 @@ void WorkerPool::KillIdleWorker(const IdleWorkerEntry &entry) { // In case of failed to send request, we remove it from pool as well // TODO(iycheng): We should handle the grpc failure in better way. if (!status.ok() || r.success()) { - RAY_LOG(DEBUG) << "Removed worker " << idle_worker->WorkerId(); - auto &worker_state = GetStateForLanguage(idle_worker->GetLanguage()); + RAY_LOG(DEBUG) << "Removed worker " << worker->WorkerId(); + auto &worker_state = GetStateForLanguage(worker->GetLanguage()); // If we could kill the worker properly, we remove them from the idle // pool. - RemoveWorker(worker_state.idle, idle_worker); + RemoveWorker(worker_state.idle, worker); // We always mark the worker as dead. // If the worker is not idle at this moment, we'd want to mark it as dead // so it won't be reused later. - if (!idle_worker->IsDead()) { - idle_worker->MarkDead(); + if (!worker->IsDead()) { + worker->MarkDead(); } } else { - RAY_LOG(DEBUG) << "Failed to remove worker " << idle_worker->WorkerId(); + RAY_LOG(DEBUG) << "Failed to remove worker " << worker->WorkerId(); // We re-insert the idle worker to the back of the queue if it fails to // kill the worker (e.g., when the worker owns the object). Without this, // if the first N workers own objects, it can't kill idle workers that are @@ -1248,10 +1246,10 @@ WorkerUnfitForTaskReason WorkerPool::WorkerFitsForTask( if (pending_exit_idle_workers_.contains(worker.WorkerId())) { return WorkerUnfitForTaskReason::OTHERS; } - if (worker.GetLanguage() != pop_worker_request.language) { + if (worker.GetLanguage() != pop_worker_request.language_) { return WorkerUnfitForTaskReason::OTHERS; } - if (worker.GetWorkerType() != pop_worker_request.worker_type) { + if (worker.GetWorkerType() != pop_worker_request.worker_type_) { return WorkerUnfitForTaskReason::OTHERS; } @@ -1260,27 +1258,27 @@ WorkerUnfitForTaskReason WorkerPool::WorkerFitsForTask( // NOTE(edoakes): the job ID for a worker with no detached actor ID must still match, // which is checked below. The pop_worker_request for a task rooted in a detached // actor will have the job ID of the job that created the detached actor. - if (!pop_worker_request.root_detached_actor_id.IsNil() && + if (!pop_worker_request.root_detached_actor_id_.IsNil() && !worker.GetRootDetachedActorId().IsNil() && - pop_worker_request.root_detached_actor_id != worker.GetRootDetachedActorId()) { + pop_worker_request.root_detached_actor_id_ != worker.GetRootDetachedActorId()) { return WorkerUnfitForTaskReason::ROOT_MISMATCH; } // Only consider workers that haven't been assigned to a job yet or have been assigned // to the requested job. const auto worker_job_id = worker.GetAssignedJobId(); - if (!worker_job_id.IsNil() && pop_worker_request.job_id != worker_job_id) { + if (!worker_job_id.IsNil() && pop_worker_request.job_id_ != worker_job_id) { return WorkerUnfitForTaskReason::ROOT_MISMATCH; } // If the request asks for a is_gpu, and the worker is assigned a different is_gpu, // then skip it. - if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_gpu, worker.GetIsGpu())) { + if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_gpu_, worker.GetIsGpu())) { return WorkerUnfitForTaskReason::OTHERS; } // If the request asks for a is_actor_worker, and the worker is assigned a different // is_actor_worker, then skip it. - if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_actor_worker, + if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_actor_worker_, worker.GetIsActorWorker())) { return WorkerUnfitForTaskReason::OTHERS; } @@ -1288,12 +1286,12 @@ WorkerUnfitForTaskReason WorkerPool::WorkerFitsForTask( // Even if the task doesn't have a runtime_env specified, we cannot schedule it to a // worker with a runtime_env because the task is expected to run in the base // environment. - if (worker.GetRuntimeEnvHash() != pop_worker_request.runtime_env_hash) { + if (worker.GetRuntimeEnvHash() != pop_worker_request.runtime_env_hash_) { return WorkerUnfitForTaskReason::RUNTIME_ENV_MISMATCH; } // Skip if the dynamic_options doesn't match. if (LookupWorkerDynamicOptions(worker.GetStartupToken()) != - pop_worker_request.dynamic_options) { + pop_worker_request.dynamic_options_) { return WorkerUnfitForTaskReason::DYNAMIC_OPTIONS_MISMATCH; } return WorkerUnfitForTaskReason::NONE; @@ -1302,48 +1300,48 @@ WorkerUnfitForTaskReason WorkerPool::WorkerFitsForTask( void WorkerPool::StartNewWorker( const std::shared_ptr &pop_worker_request) { auto start_worker_process_fn = [this]( - std::shared_ptr pop_worker_request, + std::shared_ptr request, const std::string &serialized_runtime_env_context) { - auto &state = GetStateForLanguage(pop_worker_request->language); + auto &state = GetStateForLanguage(request->language_); const std::string &serialized_runtime_env = - pop_worker_request->runtime_env_info.serialized_runtime_env(); + request->runtime_env_info_.serialized_runtime_env(); PopWorkerStatus status = PopWorkerStatus::OK; auto [proc, startup_token] = - StartWorkerProcess(pop_worker_request->language, - pop_worker_request->worker_type, - pop_worker_request->job_id, + StartWorkerProcess(request->language_, + request->worker_type_, + request->job_id_, &status, - pop_worker_request->dynamic_options, - pop_worker_request->runtime_env_hash, + request->dynamic_options_, + request->runtime_env_hash_, serialized_runtime_env_context, - pop_worker_request->runtime_env_info, - pop_worker_request->worker_startup_keep_alive_duration); + request->runtime_env_info_, + request->worker_startup_keep_alive_duration_); if (status == PopWorkerStatus::OK) { RAY_CHECK(proc.IsValid()); WarnAboutSize(); - state.pending_registration_requests.emplace_back(pop_worker_request); - MonitorPopWorkerRequestForRegistration(pop_worker_request); + state.pending_registration_requests.emplace_back(request); + MonitorPopWorkerRequestForRegistration(request); } else if (status == PopWorkerStatus::TooManyStartingWorkerProcesses) { // TODO(jjyao) As an optimization, we don't need to delete the runtime env // but reuse it the next time we retry the request. DeleteRuntimeEnvIfPossible(serialized_runtime_env); - state.pending_start_requests.emplace_back(std::move(pop_worker_request)); + state.pending_start_requests.emplace_back(std::move(request)); } else { DeleteRuntimeEnvIfPossible(serialized_runtime_env); - PopWorkerCallbackAsync(std::move(pop_worker_request->callback), nullptr, status); + PopWorkerCallbackAsync(std::move(request->callback_), nullptr, status); } }; const std::string &serialized_runtime_env = - pop_worker_request->runtime_env_info.serialized_runtime_env(); + pop_worker_request->runtime_env_info_.serialized_runtime_env(); if (!IsRuntimeEnvEmpty(serialized_runtime_env)) { // create runtime env. GetOrCreateRuntimeEnv( serialized_runtime_env, - pop_worker_request->runtime_env_info.runtime_env_config(), - pop_worker_request->job_id, + pop_worker_request->runtime_env_info_.runtime_env_config(), + pop_worker_request->job_id_, [this, start_worker_process_fn, pop_worker_request]( bool successful, const std::string &serialized_runtime_env_context, @@ -1352,7 +1350,7 @@ void WorkerPool::StartNewWorker( start_worker_process_fn(pop_worker_request, serialized_runtime_env_context); } else { process_failed_runtime_env_setup_failed_++; - pop_worker_request->callback( + pop_worker_request->callback_( nullptr, PopWorkerStatus::RuntimeEnvCreationFailed, /*runtime_env_setup_error_message*/ setup_error_message); @@ -1428,7 +1426,7 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( } return false; }; - auto &state = GetStateForLanguage(pop_worker_request.language); + auto &state = GetStateForLanguage(pop_worker_request.language_); auto worker_it = std::find_if(idle_of_all_languages_.rbegin(), idle_of_all_languages_.rend(), worker_fits_for_task_fn); @@ -1448,8 +1446,8 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( // Assigned workers should always match the request's job_id // *except* if the task originates from a detached actor. RAY_CHECK(worker->GetAssignedJobId().IsNil() || - worker->GetAssignedJobId() == pop_worker_request.job_id || - !pop_worker_request.root_detached_actor_id.IsNil()); + worker->GetAssignedJobId() == pop_worker_request.job_id_ || + !pop_worker_request.root_detached_actor_id_.IsNil()); return worker; } @@ -1462,9 +1460,9 @@ void WorkerPool::PopWorker(std::shared_ptr pop_worker_request) return; } RAY_CHECK(worker->GetAssignedJobId().IsNil() || - worker->GetAssignedJobId() == pop_worker_request->job_id); + worker->GetAssignedJobId() == pop_worker_request->job_id_); ray_metric_num_workers_started_from_cache_.Record(1); - PopWorkerCallbackAsync(pop_worker_request->callback, worker, PopWorkerStatus::OK); + PopWorkerCallbackAsync(pop_worker_request->callback_, worker, PopWorkerStatus::OK); } void WorkerPool::PrestartWorkers(const TaskSpecification &task_spec, diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 2f8b02e3b588..8da7d3046472 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -86,18 +86,18 @@ using PopWorkerCallback = const std::string &runtime_env_setup_error_message)>; struct PopWorkerRequest { - const rpc::Language language; - const rpc::WorkerType worker_type; - const JobID job_id; // can be Nil - const ActorID root_detached_actor_id; // can be Nil - const std::optional is_gpu; - const std::optional is_actor_worker; - const rpc::RuntimeEnvInfo runtime_env_info; - const int runtime_env_hash; - const std::vector dynamic_options; - std::optional worker_startup_keep_alive_duration; - - PopWorkerCallback callback; + const rpc::Language language_; + const rpc::WorkerType worker_type_; + const JobID job_id_; // can be Nil + const ActorID root_detached_actor_id_; // can be Nil + const std::optional is_gpu_; + const std::optional is_actor_worker_; + const rpc::RuntimeEnvInfo runtime_env_info_; + const int runtime_env_hash_; + const std::vector dynamic_options_; + std::optional worker_startup_keep_alive_duration_; + + PopWorkerCallback callback_; PopWorkerRequest(rpc::Language lang, rpc::WorkerType worker_type, @@ -110,18 +110,17 @@ struct PopWorkerRequest { std::vector options, std::optional worker_startup_keep_alive_duration, PopWorkerCallback callback) - : language(lang), - worker_type(worker_type), - job_id(job), - root_detached_actor_id(root_actor_id), - is_gpu(gpu), - is_actor_worker(actor_worker), - runtime_env_info(std::move(runtime_env_info)), - // this-> is needed to disambiguate the member variable from the ctor arg. - runtime_env_hash(runtime_env_hash), - dynamic_options(std::move(options)), - worker_startup_keep_alive_duration(worker_startup_keep_alive_duration), - callback(std::move(callback)) {} + : language_(lang), + worker_type_(worker_type), + job_id_(job), + root_detached_actor_id_(root_actor_id), + is_gpu_(gpu), + is_actor_worker_(actor_worker), + runtime_env_info_(std::move(runtime_env_info)), + runtime_env_hash_(runtime_env_hash), + dynamic_options_(std::move(options)), + worker_startup_keep_alive_duration_(worker_startup_keep_alive_duration), + callback_(std::move(callback)) {} }; /// \class IOWorkerPoolInterface @@ -872,7 +871,7 @@ class WorkerPool : public WorkerPoolInterface { /// The callback that will be triggered once it times out to start a worker. std::function starting_worker_timeout_callback_; /// If 1, expose Ray debuggers started by the workers externally (to this node). - int ray_debugger_external; + int ray_debugger_external_; /// If the first job has already been registered. bool first_job_registered_ = false; diff --git a/src/ray/rpc/worker/core_worker_client.cc b/src/ray/rpc/worker/core_worker_client.cc index a182c020de7d..6863511dfe05 100644 --- a/src/ray/rpc/worker/core_worker_client.cc +++ b/src/ray/rpc/worker/core_worker_client.cc @@ -110,7 +110,7 @@ void CoreWorkerClient::SendRequests() { [this, this_ptr, seq_no, task_size, callback = std::move(pair.second)]( Status status, rpc::PushTaskReply &&reply) { { - absl::MutexLock lock(&mutex_); + absl::MutexLock lk(&mutex_); if (seq_no > max_finished_seq_no_) { max_finished_seq_no_ = seq_no; } diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 1ad30728cf62..341f07e9786a 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -37,11 +37,11 @@ namespace std { template <> struct hash { size_t operator()(const ray::rpc::Address &addr) const { - size_t hash = std::hash()(addr.port()); - hash ^= std::hash()(addr.ip_address()); - hash ^= std::hash()(addr.worker_id()); - hash ^= std::hash()(addr.node_id()); - return hash; + size_t hash_value = std::hash()(addr.port()); + hash_value ^= std::hash()(addr.ip_address()); + hash_value ^= std::hash()(addr.worker_id()); + hash_value ^= std::hash()(addr.node_id()); + return hash_value; } }; } // namespace std diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 96f46cc3cbe8..c66b860daaaf 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -138,15 +138,15 @@ std::shared_ptr CoreWorkerClientPool::GetOrConnect( RAY_LOG(DEBUG) << "Connected to worker " << worker_id << " with address " << BuildAddress(addr_proto.ip_address(), addr_proto.port()); - return entry.core_worker_client; + return entry.core_worker_client_; } void CoreWorkerClientPool::RemoveIdleClients() { while (!client_list_.empty()) { - auto worker_id = client_list_.back().worker_id; - auto node_id = client_list_.back().node_id; + auto worker_id = client_list_.back().worker_id_; + auto node_id = client_list_.back().node_id_; // The last client in the list is the least recent accessed client. - if (client_list_.back().core_worker_client->IsIdleAfterRPCs()) { + if (client_list_.back().core_worker_client_->IsIdleAfterRPCs()) { worker_client_map_.erase(worker_id); EraseFromNodeClientMap(node_id, worker_id); client_list_.pop_back(); @@ -169,7 +169,7 @@ void CoreWorkerClientPool::Disconnect(ray::WorkerID id) { if (it == worker_client_map_.end()) { return; } - EraseFromNodeClientMap(it->second->node_id, /*worker_id=*/id); + EraseFromNodeClientMap(it->second->node_id_, /*worker_id=*/id); client_list_.erase(it->second); worker_client_map_.erase(it); } diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index f26ae8d81938..370ac45cf6fd 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -90,13 +90,13 @@ class CoreWorkerClientPool { CoreWorkerClientEntry(WorkerID worker_id, NodeID node_id, std::shared_ptr core_worker_client) - : worker_id(std::move(worker_id)), - node_id(std::move(node_id)), - core_worker_client(std::move(core_worker_client)) {} + : worker_id_(std::move(worker_id)), + node_id_(std::move(node_id)), + core_worker_client_(std::move(core_worker_client)) {} - WorkerID worker_id; - NodeID node_id; - std::shared_ptr core_worker_client; + WorkerID worker_id_; + NodeID node_id_; + std::shared_ptr core_worker_client_; }; /// A list of open connections from the most recent accessed to the least recent diff --git a/thirdparty/patches/abseil-cpp-shadow.patch b/thirdparty/patches/abseil-cpp-shadow.patch new file mode 100644 index 000000000000..b014e8a6dd23 --- /dev/null +++ b/thirdparty/patches/abseil-cpp-shadow.patch @@ -0,0 +1,12 @@ +diff --git absl/container/internal/btree.h absl/container/internal/btree.h +--- absl/container/internal/btree.h ++++ absl/container/internal/btree.h +@@ -223,7 +223,7 @@ struct key_compare_adapter { + + public: + using Base::Base; +- checked_compare(Compare comp) : Base(std::move(comp)) {} // NOLINT ++ checked_compare(Compare _comp) : Base(std::move(_comp)) {} // NOLINT + + // Allow converting to Compare for use in key_comp()/value_comp(). + explicit operator Compare() const { return comp(); } diff --git a/thirdparty/patches/msgpack-shadow.patch b/thirdparty/patches/msgpack-shadow.patch new file mode 100644 index 000000000000..581a1e7fde3a --- /dev/null +++ b/thirdparty/patches/msgpack-shadow.patch @@ -0,0 +1,12 @@ +diff --git include/msgpack/v1/adaptor/fixint.hpp include/msgpack/v1/adaptor/fixint.hpp +--- include/msgpack/v1/adaptor/fixint.hpp ++++ include/msgpack/v1/adaptor/fixint.hpp +@@ -24,7 +24,7 @@ template + struct fix_int { + typedef T value_type; + fix_int() : value(0) { } +- fix_int(T value) : value(value) { } ++ fix_int(T _value) : value(_value) { } + + operator T() const { return value; } + From 056a837c8b53fcff3c1fc491d85a72c061934d6a Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Thu, 21 Aug 2025 02:27:49 +0530 Subject: [PATCH 0791/1566] [core] Introduce `ShutdownCoordinator` and unified core worker shutdown entry points (#54244) ## Why are these changes needed? This PR is the first installment of the core worker shutdown refactor. It replaces the previous tangle of atomics, flags, and scattered helper functions with a single, test-driven shutdown coordinator and a thin executor layer. All existing shutdown entry-points (`Shutdown()`, `Exit()`, `ForceExit()`, RPC `HandleExit`, signal-generated exits, etc.) are now routed through one code path that is: 1. Thread-safe & idempotent 2. Reason-aware 3. Unit-tested ## High-level design All shutdown entry points (`Shutdown()`, `Exit()`, `ForceExit()`, RPC `HandleExit`, etc.) call `ShutdownCoordinator::RequestShutdown(...)`. The coordinator: - Tracks `ShutdownState` and `ShutdownReason` under a single mutex. - Latches a forced shutdown at entry (so only one force executes). - Delegates actual work to an injectable `ShutdownExecutorInterface` implementation (`CoreWorkerShutdownExecutor`) to keep shutdown orchestration separate from teardown steps. ### Key Components or Changes - `ShutdownCoordinator` (src/ray/core_worker/shutdown_coordinator.{h,cc}) - Switched from atomics to a single `std::mutex` for clarity and correctness. - Added early force latch (`force_started_`) and a single-execution guard (`force_executed_`). - Improved error messages (construction-time `RAY_CHECK`) and actionable fatal for unknown worker types. - `CoreWorkerShutdownExecutor` (src/ray/core_worker/core_worker_shutdown_executor.{h,cc}) - Documented semantics of graceful vs force vs worker/handle exit. - Guarded IO-thread join to avoid self-join deadlocks. - Best-effort idempotent disconnect semantics; force path kills child processes, disconnects, and terminates. - `CoreWorker` integration (src/ray/core_worker/core_worker.{h,cc}) - Added `shutdown_coordinator_` and routed all exits through it. - Added `IsIdle()` helper. - Legacy atomics removed - Tests (src/ray/core_worker/tests/shutdown_coordinator_test.cc) - Added a tiny `FakeShutdownExecutor` and `NoOpShutdownExecutor` to help with the tests. - Added concurrency tests. - Added state transition tests. ## Behavioral notes - Idempotency: Subsequent shutdown requests no-op once shutdown has started. - Concurrency: - (graceful, forced): force latches and preempts; executes once. - (graceful, graceful): only the first succeeds. - (forced, forced): only the first executes; subsequent force requests return false (do not change reason). - (forced, graceful): graceful returns false; force already latched. ### Performance Notes Shutdown paths are control-path and take a mutex for clarity; hot paths checks are unaffected. ### Future Work 1. Unify signal handlers to call RequestShutdown. 2. Extract more cleanup logic into the executor with dependency-injected mocks. 3. Add metrics and tracing once the coordinator is fully wired. 4. Migrate actor-specific shutdown semantics and delete remaining dead code (`ForceExit`, `KillChildProcs`) once safe. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 4 + src/ray/core_worker/core_worker.cc | 270 ++++-------- src/ray/core_worker/core_worker.h | 28 +- .../core_worker_shutdown_executor.cc | 309 +++++++++++++ .../core_worker_shutdown_executor.h | 104 +++++ src/ray/core_worker/shutdown_coordinator.cc | 293 +++++++++++++ src/ray/core_worker/shutdown_coordinator.h | 294 +++++++++++++ src/ray/core_worker/tests/BUILD.bazel | 12 + .../tests/shutdown_coordinator_test.cc | 406 ++++++++++++++++++ 9 files changed, 1535 insertions(+), 185 deletions(-) create mode 100644 src/ray/core_worker/core_worker_shutdown_executor.cc create mode 100644 src/ray/core_worker/core_worker_shutdown_executor.h create mode 100644 src/ray/core_worker/shutdown_coordinator.cc create mode 100644 src/ray/core_worker/shutdown_coordinator.h create mode 100644 src/ray/core_worker/tests/shutdown_coordinator_test.cc diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index f4410f8a9695..625744d2d526 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -5,11 +5,15 @@ ray_cc_library( srcs = [ "core_worker.cc", "core_worker_process.cc", + "core_worker_shutdown_executor.cc", + "shutdown_coordinator.cc", ], hdrs = [ "core_worker.h", "core_worker_process.h", "core_worker_rpc_proxy.h", + "core_worker_shutdown_executor.h", + "shutdown_coordinator.h", ], deps = [ ":actor_handle", diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index eef949f69a09..c816dd2a09e6 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -23,6 +23,9 @@ #include #include +#include "ray/core_worker/core_worker_shutdown_executor.h" +#include "ray/core_worker/shutdown_coordinator.h" + #ifndef _WIN32 #include #endif @@ -123,6 +126,28 @@ std::optional TryGetLocalObjectLocation( return CreateObjectLocation(object_info); } +/// Converts rpc::WorkerExitType to ShutdownReason +/// \param exit_type The worker exit type to convert +/// \param is_force_exit If true, INTENDED_USER_EXIT maps to kForcedExit; otherwise +/// kGracefulExit +ShutdownReason ConvertExitTypeToShutdownReason(rpc::WorkerExitType exit_type, + bool is_force_exit = false) { + switch (exit_type) { + case rpc::WorkerExitType::INTENDED_SYSTEM_EXIT: + return ShutdownReason::kIntentionalShutdown; + case rpc::WorkerExitType::INTENDED_USER_EXIT: + return is_force_exit ? ShutdownReason::kForcedExit : ShutdownReason::kGracefulExit; + case rpc::WorkerExitType::USER_ERROR: + return ShutdownReason::kUserError; + case rpc::WorkerExitType::SYSTEM_ERROR: + return ShutdownReason::kUnexpectedError; + case rpc::WorkerExitType::NODE_OUT_OF_MEMORY: + return ShutdownReason::kOutOfMemory; + default: + return ShutdownReason::kUnexpectedError; + } +} + } // namespace JobID GetProcessJobID(const CoreWorkerOptions &options) { @@ -489,61 +514,23 @@ CoreWorker::CoreWorker( // NOTE: This also marks the worker as available in Raylet. We do this at the very end // in case there is a problem during construction. ConnectToRayletInternal(); + + // Initialize shutdown coordinator last - after all services are ready + // Create concrete shutdown executor that implements real shutdown operations + auto shutdown_executor = std::make_unique(this); + shutdown_coordinator_ = std::make_unique( + std::move(shutdown_executor), options_.worker_type); + + RAY_LOG(DEBUG) << "Initialized unified shutdown coordinator with concrete executor for " + "worker type: " + << WorkerTypeString(options_.worker_type); } // NOLINT(readability/fn_size) CoreWorker::~CoreWorker() { RAY_LOG(INFO) << "Core worker is destructed"; } void CoreWorker::Shutdown() { - // Ensure that the shutdown logic runs at most once. - bool expected = false; - if (!is_shutdown_.compare_exchange_strong(expected, /*desired=*/true)) { - RAY_LOG(INFO) << "Shutdown was called more than once, ignoring."; - return; - } - - // For actors, perform cleanup before shutdown proceeds. - if (!GetWorkerContext().GetCurrentActorID().IsNil() && actor_shutdown_callback_) { - RAY_LOG(INFO) << "Calling actor shutdown callback before shutdown"; - actor_shutdown_callback_(); - } - RAY_LOG(INFO) << "Shutting down."; - - if (options_.worker_type == WorkerType::WORKER) { - // Running in a main thread. - // Asyncio coroutines could still run after CoreWorker is removed because it is - // running in a different thread. This can cause segfault because coroutines try to - // access CoreWorker methods that are already garbage collected. We should complete - // all coroutines before shutting down in order to prevent this. - if (worker_context_->CurrentActorIsAsync()) { - options_.terminate_asyncio_thread(); - } - task_execution_service_.stop(); - } - - task_event_buffer_->FlushEvents(/*forced=*/true); - task_event_buffer_->Stop(); - - io_service_.stop(); - RAY_LOG(INFO) << "Waiting for joining a core worker io thread. If it hangs here, there " - "might be deadlock or a high load in the core worker io service."; - if (io_thread_.joinable()) { - io_thread_.join(); - } - - // Shutdown gRPC server - core_worker_server_->Shutdown(); - - // Now that gcs_client is not used within io service, we can reset the pointer and clean - // it up. - if (gcs_client_) { - RAY_LOG(INFO) << "Disconnecting a GCS client."; - // TODO(hjiang): Move the Disconnect() logic - // to GcsClient destructor. - gcs_client_->Disconnect(); - gcs_client_.reset(); - } - - RAY_LOG(INFO) << "Core worker ready to be deallocated."; + shutdown_coordinator_->RequestShutdown( + /*force_shutdown=*/false, ShutdownReason::kGracefulExit, "ray.shutdown() called"); } void CoreWorker::ConnectToRayletInternal() { @@ -650,118 +637,29 @@ void CoreWorker::Exit( const rpc::WorkerExitType exit_type, const std::string &detail, const std::shared_ptr &creation_task_exception_pb_bytes) { - // Ensure that the exit logic runs at most once. - bool expected = false; - if (!is_exited_.compare_exchange_strong(expected, /*desired=*/true)) { - RAY_LOG(INFO) << "Exit was called multipled times, ignoring."; - return; - } + // Preserve actor creation failure details by marking a distinct shutdown reason + // when initialization raised an exception. An exception payload is provided. + ShutdownReason reason = creation_task_exception_pb_bytes != nullptr + ? ShutdownReason::kActorCreationFailed + : ConvertExitTypeToShutdownReason(exit_type); - RAY_LOG(INFO) << "Exit signal received, this process will exit after all outstanding " - "tasks have finished" - << ", exit_type=" << rpc::WorkerExitType_Name(exit_type) - << ", detail=" << detail; - { - absl::MutexLock lock(&mutex_); - RAY_CHECK_NE(detail, ""); - exiting_detail_ = std::optional{detail}; - } - - // Callback to shutdown. - auto shutdown = [this, exit_type, detail, creation_task_exception_pb_bytes]() { - // To avoid problems, make sure shutdown is always called from the same - // event loop each time. - task_execution_service_.post( - [this, exit_type, detail, creation_task_exception_pb_bytes]() { - rpc::DrainServerCallExecutor(); - KillChildProcs(); - // Disconnect should be put close to Shutdown - // https://github.com/ray-project/ray/pull/34883 - // TODO(iycheng): Improve the Process.h and make it able to monitor - // process liveness - Disconnect(exit_type, detail, creation_task_exception_pb_bytes); - Shutdown(); - }, - "CoreWorker.Shutdown"); - }; - // Callback to drain objects once all pending tasks have been drained. - auto drain_references_callback = [this, shutdown]() { - // Post to the event loop to avoid a deadlock between the TaskManager and - // the ReferenceCounter. The deadlock can occur because this callback may - // get called by the TaskManager while the ReferenceCounter's lock is held, - // but the callback itself must acquire the ReferenceCounter's lock to - // drain the object references. - task_execution_service_.post( - [this, shutdown]() { - RAY_LOG(INFO) << "Wait for currently executing tasks in the underlying thread " - "pools to finish."; - // Wait for currently executing tasks in the underlying thread pools to - // finish. Note that if tasks have been posted to the thread pools but not - // started yet, they will not be executed. - task_receiver_->Stop(); - - // Release resources only after tasks have stopped executing. - auto status = raylet_ipc_client_->NotifyDirectCallTaskBlocked(); - if (!status.ok()) { - RAY_LOG(WARNING) - << "Failed to notify Raylet. The raylet may have already shut down or " - << "the connection was lost."; - } - - bool not_actor_task = false; - { - absl::MutexLock lock(&mutex_); - not_actor_task = actor_id_.IsNil(); - } - if (not_actor_task) { - // Normal tasks should not hold any object references in the heap after - // executing, but they could in the case that one was stored as a glob - // variable (anti-pattern, but possible). We decrement the reference count - // for all local references to account for this. After this call, the only - // references left to drain should be those that are in use by remote - // workers. If these workers hold their references forever, the call to - // drain the reference counter will hang forever and this process will not - // exit until it is forcibly removed (e.g., via SIGKILL). - // - // NOTE(edoakes): this is only safe to do _after_ we have drained executing - // tasks in the task_receiver_, otherwise there might still be user code - // running that relies on the state of the reference counter. - // See: https://github.com/ray-project/ray/pull/53002. - RAY_LOG(INFO) - << "Releasing local references, then draining reference counter."; - reference_counter_->ReleaseAllLocalReferences(); - reference_counter_->DrainAndShutdown(shutdown); - } else { - // If we are an actor, then we may be holding object references in the - // heap. Then, we should not wait to drain the object references before - // shutdown since this could hang. - RAY_LOG(INFO) - << "Not draining reference counter since this is an actor worker."; - shutdown(); - } - }, - "CoreWorker.DrainAndShutdown"); - }; - - task_manager_->DrainAndShutdown(drain_references_callback); + shutdown_coordinator_->RequestShutdown(/*force_shutdown=*/false, + reason, + detail, + ShutdownCoordinator::kInfiniteTimeout, + creation_task_exception_pb_bytes); } void CoreWorker::ForceExit(const rpc::WorkerExitType exit_type, const std::string &detail) { - RAY_LOG(WARNING) << "Force exit the process. " - << " Details: " << detail; + RAY_LOG(DEBUG) << "ForceExit called: exit_type=" << static_cast(exit_type) + << ", detail=" << detail; - KillChildProcs(); - // Disconnect should be put close to Exit - // https://github.com/ray-project/ray/pull/34883 - // TODO(iycheng): Improve the Process.h and make it able to monitor - // process liveness - Disconnect(exit_type, detail); + ShutdownReason reason = ConvertExitTypeToShutdownReason(exit_type, true); + shutdown_coordinator_->RequestShutdown( + /*force_shutdown=*/true, reason, detail, std::chrono::milliseconds{0}, nullptr); - // NOTE(hchen): Use `QuickExit()` to force-exit this process without doing cleanup. - // `exit()` will destruct static objects in an incorrect order, which will lead to - // core dumps. - QuickExit(); + RAY_LOG(DEBUG) << "ForceExit: shutdown request completed"; } const WorkerID &CoreWorker::GetWorkerID() const { return worker_context_->GetWorkerID(); } @@ -2756,7 +2654,7 @@ void CoreWorker::RunTaskExecutionLoop() { "CoreWorker.CheckSignal"); } task_execution_service_.run(); - RAY_CHECK(is_shutdown_) + RAY_CHECK(shutdown_coordinator_ && shutdown_coordinator_->IsShuttingDown()) << "Task execution loop was terminated without calling shutdown API."; } @@ -4091,11 +3989,14 @@ void CoreWorker::HandleKillActor(rpc::KillActorRequest request, if (request.force_kill()) { RAY_LOG(INFO) << "Force kill actor request has received. exiting immediately... " << kill_actor_reason; + RAY_LOG(DEBUG) << "HandleKillActor: About to call ForceExit"; // If we don't need to restart this actor, we notify raylet before force killing it. ForceExit( rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, absl::StrCat("Worker exits because the actor is killed. ", kill_actor_reason)); + RAY_LOG(DEBUG) << "HandleKillActor: ForceExit completed"; } else { + RAY_LOG(DEBUG) << "HandleKillActor: About to call Exit"; Exit(rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, absl::StrCat("Worker exits because the actor is killed. ", kill_actor_reason)); } @@ -4293,16 +4194,12 @@ void CoreWorker::HandleDeleteSpilledObjects(rpc::DeleteSpilledObjectsRequest req void CoreWorker::HandleExit(rpc::ExitRequest request, rpc::ExitReply *reply, rpc::SendReplyCallback send_reply_callback) { - const size_t num_objects_with_references = reference_counter_->Size(); - const size_t num_pending_tasks = task_manager_->NumPendingTasks(); - const int64_t pins_in_flight = local_raylet_rpc_client_->GetPinsInFlight(); - // We consider the worker to be idle if it doesn't have object references and it doesn't - // have any object pinning RPCs in flight and it doesn't have pending tasks. - bool is_idle = (num_objects_with_references == 0) && (pins_in_flight == 0) && - (num_pending_tasks == 0); + bool is_idle = IsIdle(); bool force_exit = request.force_exit(); RAY_LOG(DEBUG) << "Exiting: is_idle: " << is_idle << " force_exit: " << force_exit; if (!is_idle) { + const size_t num_pending_tasks = task_manager_->NumPendingTasks(); + const int64_t pins_in_flight = local_raylet_rpc_client_->GetPinsInFlight(); RAY_LOG_EVERY_MS(INFO, 60000) << "Worker is not idle: reference counter: " << reference_counter_->DebugString() << " # pins in flight: " << pins_in_flight @@ -4319,21 +4216,29 @@ void CoreWorker::HandleExit(rpc::ExitRequest request, send_reply_callback( Status::OK(), [this, will_exit, force_exit]() { - // If the worker is idle, we exit. + if (!will_exit) { + return; + } + + ShutdownReason reason; + std::string detail; + if (force_exit) { - ForceExit(rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, - "Worker force exits because its job has finished"); - } else if (will_exit) { - Exit(rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, - "Worker exits because it was idle (it doesn't have objects it owns while " - "no task or actor has been scheduled) for a long time."); + reason = ShutdownReason::kForcedExit; + detail = "Worker force exited because its job has finished"; + } else { + reason = ShutdownReason::kIdleTimeout; + detail = "Worker exited because it was idle for a long time"; } + + shutdown_coordinator_->RequestShutdown(force_exit, reason, detail); }, - // We need to kill it regardless if the RPC failed. + // Fallback on RPC failure - still attempt shutdown [this]() { - Exit(rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, - "Worker exits because it was idle (it doesn't have objects it owns while " - "no task or actor has been scheduled) for a long time."); + shutdown_coordinator_->RequestShutdown( + /*force_shutdown=*/false, + ShutdownReason::kIdleTimeout, + "Worker exited due to RPC failure during idle exit"); }); } @@ -4501,9 +4406,20 @@ rpc::JobConfig CoreWorker::GetJobConfig() const { return worker_context_->GetCurrentJobConfig(); } -bool CoreWorker::IsExiting() const { - absl::MutexLock lock(&mutex_); - return exiting_detail_.has_value(); +bool CoreWorker::IsExiting() const { return shutdown_coordinator_->ShouldEarlyExit(); } + +bool CoreWorker::IsIdle(size_t num_objects_with_references, + int64_t pins_in_flight, + size_t num_pending_tasks) const { + return (num_objects_with_references == 0) && (pins_in_flight == 0) && + (num_pending_tasks == 0); +} + +bool CoreWorker::IsIdle() const { + const size_t num_objects_with_references = reference_counter_->Size(); + const size_t num_pending_tasks = task_manager_->NumPendingTasks(); + const int64_t pins_in_flight = local_raylet_rpc_client_->GetPinsInFlight(); + return IsIdle(num_objects_with_references, pins_in_flight, num_pending_tasks); } Status CoreWorker::WaitForActorRegistered(const std::vector &ids) { diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 3380aa0e489e..2099d4b740ff 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -42,6 +42,7 @@ #include "ray/core_worker/object_recovery_manager.h" #include "ray/core_worker/profile_event.h" #include "ray/core_worker/reference_count.h" +#include "ray/core_worker/shutdown_coordinator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/store_provider/plasma_store_provider.h" #include "ray/core_worker/task_event_buffer.h" @@ -1673,6 +1674,17 @@ class CoreWorker { const int64_t timeout_ms, std::vector> &results); + /// Helper to compute idleness from precomputed counters. + /// + /// We consider the worker to be idle if it doesn't have object references and it + /// doesn't have any object pinning RPCs in flight and it doesn't have pending tasks. + bool IsIdle(size_t num_objects_with_references, + int64_t pins_in_flight, + size_t num_pending_tasks) const; + + /// Convenience overload that fetches counters and evaluates idleness. + bool IsIdle() const; + /// Get the caller ID used to submit tasks from this worker to an actor. /// /// \return The caller ID. For non-actor tasks, this is the current task ID. @@ -1872,14 +1884,10 @@ class CoreWorker { /// If this value is set, it means the exit process has begun. std::optional exiting_detail_ ABSL_GUARDED_BY(mutex_); - /// TODO(kevin85421): the shutdown logic contained in `Disconnect`, `Exit`, and - /// `Shutdown` should be unified to avoid mistakes due to complex dependent semantics. - /// See https://github.com/ray-project/ray/issues/51642. - - /// Used to ensure that the `CoreWorker::Exit` method is called at most once. - std::atomic is_exited_ = false; - /// Used to ensure that the `CoreWorker::Shutdown` method is called at most once. - std::atomic is_shutdown_ = false; + /// Unified shutdown coordinator that manages all shutdown operations. + /// Implements a thread-safe, single state machine that coordinates + /// all shutdown entry points. + std::unique_ptr shutdown_coordinator_; int64_t max_direct_call_object_size_; @@ -1926,6 +1934,10 @@ class CoreWorker { /// Used to ensure we only subscribe to node changes once. std::once_flag subscribe_to_node_changes_flag_; + // Grant CoreWorkerShutdownExecutor access to CoreWorker internals for orchestrating + // the shutdown procedure without exposing additional public APIs. + friend class CoreWorkerShutdownExecutor; + /// Used to block in certain spots if the GCS node cache is needed. std::mutex gcs_client_node_cache_populated_mutex_; std::condition_variable gcs_client_node_cache_populated_cv_; diff --git a/src/ray/core_worker/core_worker_shutdown_executor.cc b/src/ray/core_worker/core_worker_shutdown_executor.cc new file mode 100644 index 000000000000..03cfc937d81a --- /dev/null +++ b/src/ray/core_worker/core_worker_shutdown_executor.cc @@ -0,0 +1,309 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/core_worker_shutdown_executor.h" + +#include +#include +#include +#include + +#include "ray/core_worker/core_worker.h" + +namespace ray { + +namespace core { + +CoreWorkerShutdownExecutor::CoreWorkerShutdownExecutor(CoreWorker *core_worker) + : core_worker_(core_worker) {} + +void CoreWorkerShutdownExecutor::ExecuteGracefulShutdown( + std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) { + RAY_LOG(INFO) << "Executing graceful shutdown: " << exit_type << " - " << detail + << " (timeout: " << timeout_ms.count() << "ms)"; + + // For actors, perform cleanup before shutdown proceeds. + if (!core_worker_->worker_context_->GetCurrentActorID().IsNil() && + core_worker_->actor_shutdown_callback_) { + RAY_LOG(INFO) << "Calling actor shutdown callback before shutdown"; + core_worker_->actor_shutdown_callback_(); + } + + if (core_worker_->options_.worker_type == WorkerType::WORKER) { + // Running in a main thread. + // Asyncio coroutines could still run after CoreWorker is removed because it is + // running in a different thread. This can cause segfault because coroutines try to + // access CoreWorker methods that are already garbage collected. We should complete + // all coroutines before shutting down in order to prevent this. + if (core_worker_->worker_context_->CurrentActorIsAsync()) { + core_worker_->options_.terminate_asyncio_thread(); + } + core_worker_->task_execution_service_.stop(); + } + + core_worker_->task_event_buffer_->FlushEvents(/*forced=*/true); + core_worker_->task_event_buffer_->Stop(); + + core_worker_->io_service_.stop(); + RAY_LOG(INFO) << "Waiting for joining a core worker io thread. If it hangs here, there " + "might be deadlock or a high load in the core worker io service."; + if (core_worker_->io_thread_.joinable()) { + // Check if we're already running in the IO thread to avoid self-join deadlock + if (core_worker_->io_thread_.get_id() != boost::this_thread::get_id()) { + core_worker_->io_thread_.join(); + } else { + RAY_LOG(INFO) + << "Skipping IO thread join since we're already running in the IO thread"; + } + } + + // Shutdown gRPC server + core_worker_->core_worker_server_->Shutdown(); + + // Now that gcs_client is not used within io service, we can reset the pointer and clean + // it up. + if (core_worker_->gcs_client_) { + RAY_LOG(INFO) << "Disconnecting a GCS client."; + // TODO(55607): Move the Disconnect() logic to GcsClient destructor. + // https://github.com/ray-project/ray/issues/55607 + core_worker_->gcs_client_->Disconnect(); + core_worker_->gcs_client_.reset(); + } + + RAY_LOG(INFO) << "Core worker ready to be deallocated."; +} + +void CoreWorkerShutdownExecutor::ExecuteForceShutdown(std::string_view exit_type, + std::string_view detail) { + KillChildProcessesImmediately(); + DisconnectServices(exit_type, detail, nullptr); + QuickExit(); +} + +void CoreWorkerShutdownExecutor::ExecuteWorkerExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) { + ExecuteExit(exit_type, detail, timeout_ms, nullptr); +} + +void CoreWorkerShutdownExecutor::ExecuteExit( + std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr &creation_task_exception_pb_bytes) { + RAY_LOG(INFO) << "Executing worker exit: " << exit_type << " - " << detail + << " (timeout: " << timeout_ms.count() << "ms)"; + + { + absl::MutexLock lock(&core_worker_->mutex_); + RAY_CHECK_NE(detail, ""); + core_worker_->exiting_detail_ = std::optional{detail}; + } + + auto shutdown_callback = [this, + exit_type = std::string(exit_type), + detail = std::string(detail), + creation_task_exception_pb_bytes]() { + // To avoid problems, make sure shutdown is always called from the same + // event loop each time. + core_worker_->task_execution_service_.post( + [this, exit_type, detail, creation_task_exception_pb_bytes]() { + rpc::DrainServerCallExecutor(); + KillChildProcessesImmediately(); + // Disconnect should be put close to Shutdown + // https://github.com/ray-project/ray/pull/34883 + DisconnectServices(exit_type, detail, creation_task_exception_pb_bytes); + ExecuteGracefulShutdown( + exit_type, "Post-exit graceful shutdown", std::chrono::milliseconds{30000}); + }, + "CoreWorker.Shutdown"); + }; + + auto drain_references_callback = [this, shutdown_callback]() { + // Post to the event loop to avoid a deadlock between the TaskManager and + // the ReferenceCounter. The deadlock can occur because this callback may + // get called by the TaskManager while the ReferenceCounter's lock is held, + // but the callback itself must acquire the ReferenceCounter's lock to + // drain the object references. + core_worker_->task_execution_service_.post( + [this, shutdown_callback]() { + RAY_LOG(INFO) << "Wait for currently executing tasks in the underlying thread " + "pools to finish."; + // Wait for currently executing tasks in the underlying thread pools to + // finish. Note that if tasks have been posted to the thread pools but not + // started yet, they will not be executed. + core_worker_->task_receiver_->Stop(); + + // Release resources only after tasks have stopped executing. + auto status = core_worker_->raylet_ipc_client_->NotifyDirectCallTaskBlocked(); + if (!status.ok()) { + RAY_LOG(WARNING) + << "Failed to notify Raylet. The raylet may have already shut down or " + << "the connection was lost."; + } + + bool not_actor_task = false; + { + absl::MutexLock lock(&core_worker_->mutex_); + not_actor_task = core_worker_->actor_id_.IsNil(); + } + if (not_actor_task) { + // Normal tasks should not hold any object references in the heap after + // executing, but they could in the case that one was stored as a glob + // variable (anti-pattern, but possible). We decrement the reference count + // for all local references to account for this. After this call, the only + // references left to drain should be those that are in use by remote + // workers. If these workers hold their references forever, the call to + // drain the reference counter will hang forever and this process will not + // exit until it is forcibly removed (e.g., via SIGKILL). + // + // NOTE(edoakes): this is only safe to do _after_ we have drained executing + // tasks in the task_receiver_, otherwise there might still be user code + // running that relies on the state of the reference counter. + // See: https://github.com/ray-project/ray/pull/53002. + RAY_LOG(INFO) + << "Releasing local references, then draining reference counter."; + core_worker_->reference_counter_->ReleaseAllLocalReferences(); + core_worker_->reference_counter_->DrainAndShutdown(shutdown_callback); + } else { + // If we are an actor, then we may be holding object references in the + // heap. Then, we should not wait to drain the object references before + // shutdown since this could hang. + RAY_LOG(INFO) + << "Not draining reference counter since this is an actor worker."; + shutdown_callback(); + } + }, + "CoreWorker.DrainAndShutdown"); + }; + + core_worker_->task_manager_->DrainAndShutdown(drain_references_callback); +} + +void CoreWorkerShutdownExecutor::ExecuteHandleExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) { + RAY_LOG(INFO) << "Executing handle exit: " << exit_type << " - " << detail + << " (timeout: " << timeout_ms.count() << "ms)"; + + if (ShouldWorkerIdleExit()) { + auto actual_timeout = timeout_ms; + if (actual_timeout.count() == -1) { + actual_timeout = std::chrono::milliseconds{10000}; // 10s default + } + + ExecuteWorkerExit(exit_type, detail, actual_timeout); + } else { + RAY_LOG(INFO) << "Worker not idle, ignoring exit request: " << detail; + } +} + +void CoreWorkerShutdownExecutor::KillChildProcessesImmediately() { + if (!RayConfig::instance().kill_child_processes_on_worker_exit()) { + RAY_LOG(DEBUG) + << "kill_child_processes_on_worker_exit is not true, skipping KillChildProcs"; + return; + } + + RAY_LOG(DEBUG) << "kill_child_processes_on_worker_exit true, KillChildProcs"; + auto maybe_child_procs = GetAllProcsWithPpid(GetPID()); + + // Enumerating child procs is not supported on this platform. + if (!maybe_child_procs) { + RAY_LOG(DEBUG) << "Killing leaked procs not supported on this platform."; + return; + } + + const auto &child_procs = *maybe_child_procs; + const auto child_procs_str = absl::StrJoin(child_procs, ","); + RAY_LOG(INFO) << "Try killing all child processes of this worker as it exits. " + << "Child process pids: " << child_procs_str; + + for (const auto &child_pid : child_procs) { + auto maybe_error_code = KillProc(child_pid); + RAY_CHECK(maybe_error_code) + << "Expected this path to only be called when KillProc is supported."; + auto error_code = *maybe_error_code; + + RAY_LOG(INFO) << "Kill result for child pid " << child_pid << ": " + << error_code.message() << ", bool " << static_cast(error_code); + if (error_code) { + RAY_LOG(WARNING) << "Unable to kill potentially leaked process " << child_pid + << ": " << error_code.message(); + } + } +} + +bool CoreWorkerShutdownExecutor::ShouldWorkerIdleExit() const { + return core_worker_->IsIdle(); +} + +void CoreWorkerShutdownExecutor::DisconnectServices( + std::string_view exit_type, + std::string_view detail, + const std::shared_ptr &creation_task_exception_pb_bytes) { + core_worker_->RecordMetrics(); + + if (core_worker_->options_.worker_type == WorkerType::DRIVER && + core_worker_->task_event_buffer_->Enabled() && + !RayConfig::instance().task_events_skip_driver_for_test()) { + auto task_event = std::make_unique( + core_worker_->worker_context_->GetCurrentTaskID(), + core_worker_->worker_context_->GetCurrentJobID(), + /* attempt_number */ 0, + rpc::TaskStatus::FINISHED, + /* timestamp */ absl::GetCurrentTimeNanos(), + /*is_actor_task_event=*/ + core_worker_->worker_context_->GetCurrentActorID().IsNil(), + core_worker_->options_.session_name); + core_worker_->task_event_buffer_->AddTaskEvent(std::move(task_event)); + } + + opencensus::stats::StatsExporter::ExportNow(); + if (core_worker_->connected_) { + RAY_LOG(INFO) << "Sending disconnect message to the local raylet."; + core_worker_->connected_ = false; + if (core_worker_->raylet_ipc_client_) { + rpc::WorkerExitType worker_exit_type = rpc::WorkerExitType::INTENDED_USER_EXIT; + if (exit_type == "INTENDED_SYSTEM_EXIT") { + worker_exit_type = rpc::WorkerExitType::INTENDED_SYSTEM_EXIT; + } else if (exit_type == "USER_ERROR") { + worker_exit_type = rpc::WorkerExitType::USER_ERROR; + } else if (exit_type == "SYSTEM_ERROR") { + worker_exit_type = rpc::WorkerExitType::SYSTEM_ERROR; + } else if (exit_type == "NODE_OUT_OF_MEMORY") { + worker_exit_type = rpc::WorkerExitType::NODE_OUT_OF_MEMORY; + } + + Status status = core_worker_->raylet_ipc_client_->Disconnect( + worker_exit_type, std::string(detail), creation_task_exception_pb_bytes); + if (status.ok()) { + RAY_LOG(INFO) << "Disconnected from the local raylet."; + } else { + RAY_LOG(WARNING) << "Failed to disconnect from the local raylet: " << status; + } + } + } +} + +void CoreWorkerShutdownExecutor::QuickExit() { + RAY_LOG(WARNING) << "Quick exit - terminating process immediately"; + RAY_LOG(WARNING) << "Quick exit - calling std::quick_exit(1)"; + std::quick_exit(1); + RAY_LOG(WARNING) << "Quick exit - this line should never be reached"; +} +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/core_worker_shutdown_executor.h b/src/ray/core_worker/core_worker_shutdown_executor.h new file mode 100644 index 000000000000..9617f0c1564f --- /dev/null +++ b/src/ray/core_worker/core_worker_shutdown_executor.h @@ -0,0 +1,104 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "ray/core_worker/shutdown_coordinator.h" + +namespace ray { + +namespace core { + +class CoreWorker; + +/// Concrete implementation of `ShutdownExecutorInterface` that executes actual +/// shutdown operations for `CoreWorker`. +/// +/// Semantics overview: +/// - Graceful shutdown (ExecuteGracefulShutdown): stop accepting new work, drain ongoing +/// work, flush task +/// events, stop services (task execution service, gRPC server, IO service), +/// disconnect from the GCS/raylet, and join the IO thread if safe. This path +/// attempts best-effort cleanup to preserve observability and avoid resource +/// leaks. It may take up to `timeout_ms` for certain steps. +/// - Force shutdown (ExecuteForceShutdown): immediately kill child processes, disconnect +/// services, and +/// terminate the process without draining or cleanup. This path is used to +/// break out of hung or long-running shutdowns and should be considered +/// preemptive; it sacrifices cleanup for determinism. +/// - Worker exit (ExecuteWorkerExit): worker-type-specific graceful +/// shutdown that handles task draining and optional actor creation failure +/// payloads, then proceeds with the graceful sequence. +/// - Handle exit (ExecuteHandleExit): conditional exit that first checks worker +/// idleness and only proceeds when idle; otherwise it is ignored. +class CoreWorkerShutdownExecutor : public ShutdownExecutorInterface { + public: + /// Constructor with CoreWorker reference for accessing internals + /// \param core_worker Reference to the CoreWorker instance + explicit CoreWorkerShutdownExecutor(CoreWorker *core_worker); + + ~CoreWorkerShutdownExecutor() override = default; + + /// Execute graceful shutdown sequence. + /// Stops task execution, flushes task events, stops IO/gRPC services, joins IO + /// thread when not self, and disconnects from GCS. Best-effort cleanup. + void ExecuteGracefulShutdown(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override; + + /// Execute force shutdown sequence. + /// Kills child processes, disconnects services, and terminates the process. + /// Skips draining/cleanup for fast, deterministic termination. + void ExecuteForceShutdown(std::string_view exit_type, std::string_view detail) override; + + /// Execute worker exit sequence with task draining. + /// Drains tasks/references as applicable for worker mode, then performs + /// graceful shutdown. + void ExecuteWorkerExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override; + + void ExecuteExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr + &creation_task_exception_pb_bytes) override; + + /// Execute handle exit sequence with idle checking. + /// Only performs worker exit if the worker is currently idle; otherwise, it + /// logs and returns without action. + void ExecuteHandleExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override; + + void KillChildProcessesImmediately() override; + + bool ShouldWorkerIdleExit() const override; + + private: + /// Reference to CoreWorker for accessing shutdown operations + CoreWorker *core_worker_; + + void DisconnectServices( + std::string_view exit_type, + std::string_view detail, + const std::shared_ptr &creation_task_exception_pb_bytes); + void QuickExit(); +}; +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/shutdown_coordinator.cc b/src/ray/core_worker/shutdown_coordinator.cc new file mode 100644 index 000000000000..75e13a2fbef9 --- /dev/null +++ b/src/ray/core_worker/shutdown_coordinator.cc @@ -0,0 +1,293 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/shutdown_coordinator.h" + +#include +#include +#include +#include +#include +#include +#include + +#include "ray/common/buffer.h" // LocalMemoryBuffer +#include "ray/core_worker/common.h" // for WorkerType alias +namespace ray { + +namespace core { + +ShutdownCoordinator::ShutdownCoordinator( + std::unique_ptr executor, WorkerType worker_type) + : executor_(std::move(executor)), worker_type_(worker_type) { + RAY_CHECK(executor_) + << "ShutdownCoordinator requires a non-null ShutdownExecutorInterface. " + << "This indicates a construction-time bug. " + << "Pass a concrete executor (e.g., CoreWorkerShutdownExecutor) " + << "when creating the coordinator."; +} + +bool ShutdownCoordinator::RequestShutdown( + bool force_shutdown, + ShutdownReason reason, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr &creation_task_exception_pb_bytes) { + bool should_execute = false; + bool execute_force = force_shutdown; + { + std::lock_guard lock(mu_); + if (state_ == ShutdownState::kShutdown) { + return false; + } + // If a force request arrives, latch it immediately to guarantee single execution. + if (force_shutdown) { + if (force_started_) { + return false; + } + force_started_ = true; + reason_ = reason; + shutdown_detail_ = std::string(detail); + if (state_ == ShutdownState::kRunning) { + state_ = ShutdownState::kShuttingDown; + } + should_execute = true; + } else { + if (state_ != ShutdownState::kRunning) { + return false; + } + state_ = ShutdownState::kShuttingDown; + reason_ = reason; + shutdown_detail_ = std::string(detail); + should_execute = true; + } + } + + if (!should_execute) { + return false; + } + + ExecuteShutdownSequence( + execute_force, detail, timeout_ms, creation_task_exception_pb_bytes); + return true; +} + +bool ShutdownCoordinator::TryInitiateShutdown(ShutdownReason reason) { + // Legacy compatibility - delegate to graceful shutdown by default + return RequestShutdown(false, reason, "", kInfiniteTimeout, nullptr); +} + +bool ShutdownCoordinator::TryTransitionToDisconnecting() { + std::lock_guard lock(mu_); + if (state_ != ShutdownState::kShuttingDown) { + return false; + } + state_ = ShutdownState::kDisconnecting; + return true; +} + +bool ShutdownCoordinator::TryTransitionToShutdown() { + std::lock_guard lock(mu_); + if (state_ != ShutdownState::kShuttingDown && state_ != ShutdownState::kDisconnecting) { + return false; + } + state_ = ShutdownState::kShutdown; + return true; +} + +ShutdownState ShutdownCoordinator::GetState() const { + std::lock_guard lock(mu_); + return state_; +} + +ShutdownReason ShutdownCoordinator::GetReason() const { + std::lock_guard lock(mu_); + return reason_; +} + +bool ShutdownCoordinator::ShouldEarlyExit() const { + std::lock_guard lock(mu_); + return state_ != ShutdownState::kRunning; +} + +bool ShutdownCoordinator::IsRunning() const { + return GetState() == ShutdownState::kRunning; +} + +bool ShutdownCoordinator::IsShuttingDown() const { + return GetState() != ShutdownState::kRunning; +} + +bool ShutdownCoordinator::IsShutdown() const { + return GetState() == ShutdownState::kShutdown; +} + +std::string ShutdownCoordinator::GetStateString() const { + switch (GetState()) { + case ShutdownState::kRunning: + return "Running"; + case ShutdownState::kShuttingDown: + return "ShuttingDown"; + case ShutdownState::kDisconnecting: + return "Disconnecting"; + case ShutdownState::kShutdown: + return "Shutdown"; + default: + return "Unknown"; + } +} + +// Methods that execute shutdown logic + +void ShutdownCoordinator::ExecuteShutdownSequence( + bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr &creation_task_exception_pb_bytes) { + switch (worker_type_) { + case WorkerType::DRIVER: + ExecuteDriverShutdown(force_shutdown, detail, timeout_ms); + break; + case WorkerType::WORKER: + case WorkerType::SPILL_WORKER: + case WorkerType::RESTORE_WORKER: + ExecuteWorkerShutdown( + force_shutdown, detail, timeout_ms, creation_task_exception_pb_bytes); + break; + default: + RAY_LOG(FATAL) << "Unknown worker type: " << static_cast(worker_type_) + << ". This should be unreachable. Please file a bug at " + << "https://github.com/ray-project/ray/issues."; + break; + } +} + +void ShutdownCoordinator::ExecuteGracefulShutdown(std::string_view detail, + std::chrono::milliseconds timeout_ms) { + TryTransitionToDisconnecting(); + executor_->ExecuteGracefulShutdown(GetExitTypeString(), detail, timeout_ms); + TryTransitionToShutdown(); +} + +void ShutdownCoordinator::ExecuteForceShutdown(std::string_view detail) { + // Force shutdown bypasses normal state transitions and terminates immediately + // This ensures that force shutdowns can interrupt hanging graceful shutdowns + { + std::lock_guard lock(mu_); + if (force_executed_) { + return; + } + force_executed_ = true; + } + executor_->ExecuteForceShutdown(GetExitTypeString(), detail); + + // Only update state if we're not already in final state + // (force shutdown should have terminated the process by now) + TryTransitionToShutdown(); +} + +void ShutdownCoordinator::ExecuteDriverShutdown(bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms) { + if (force_shutdown) { + ExecuteForceShutdown(detail); + } else { + ExecuteGracefulShutdown(detail, timeout_ms); + } +} + +void ShutdownCoordinator::ExecuteWorkerShutdown( + bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr &creation_task_exception_pb_bytes) { + if (force_shutdown) { + ExecuteForceShutdown(detail); + return; + } + + ShutdownReason reason = GetReason(); + + if (reason == ShutdownReason::kActorCreationFailed) { + TryTransitionToDisconnecting(); + executor_->ExecuteExit( + GetExitTypeString(), detail, timeout_ms, creation_task_exception_pb_bytes); + } else if (reason == ShutdownReason::kUserError || + reason == ShutdownReason::kGracefulExit || + reason == ShutdownReason::kIntentionalShutdown || + reason == ShutdownReason::kUnexpectedError || + reason == ShutdownReason::kOutOfMemory || + reason == ShutdownReason::kActorKilled) { + TryTransitionToDisconnecting(); + executor_->ExecuteWorkerExit(GetExitTypeString(), detail, timeout_ms); + } else if (reason == ShutdownReason::kIdleTimeout || + reason == ShutdownReason::kJobFinished) { + TryTransitionToDisconnecting(); + executor_->ExecuteHandleExit(GetExitTypeString(), detail, timeout_ms); + } else { + ExecuteGracefulShutdown(detail, timeout_ms); + } +} + +std::string ShutdownCoordinator::GetExitTypeString() const { + switch (GetReason()) { + case ShutdownReason::kIdleTimeout: + case ShutdownReason::kIntentionalShutdown: + return "INTENDED_SYSTEM_EXIT"; + case ShutdownReason::kUserError: + return "USER_ERROR"; + case ShutdownReason::kActorCreationFailed: + return "USER_ERROR"; + case ShutdownReason::kUnexpectedError: + return "SYSTEM_ERROR"; + case ShutdownReason::kOutOfMemory: + return "NODE_OUT_OF_MEMORY"; + case ShutdownReason::kForcedExit: + case ShutdownReason::kGracefulExit: + default: + return "INTENDED_USER_EXIT"; + } +} + +std::string ShutdownCoordinator::GetReasonString() const { + switch (GetReason()) { + case ShutdownReason::kNone: + return "None"; + case ShutdownReason::kIntentionalShutdown: + return "IntentionalShutdown"; + case ShutdownReason::kUnexpectedError: + return "UnexpectedError"; + case ShutdownReason::kIdleTimeout: + return "IdleTimeout"; + case ShutdownReason::kGracefulExit: + return "GracefulExit"; + case ShutdownReason::kForcedExit: + return "ForcedExit"; + case ShutdownReason::kUserError: + return "UserError"; + case ShutdownReason::kOutOfMemory: + return "OutOfMemory"; + case ShutdownReason::kJobFinished: + return "JobFinished"; + case ShutdownReason::kActorKilled: + return "ActorKilled"; + case ShutdownReason::kActorCreationFailed: + return "ActorCreationFailed"; + default: + return "Unknown"; + } +} + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/shutdown_coordinator.h b/src/ray/core_worker/shutdown_coordinator.h new file mode 100644 index 000000000000..b2a68ec4af39 --- /dev/null +++ b/src/ray/core_worker/shutdown_coordinator.h @@ -0,0 +1,294 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include +#include +#include + +// Bring in WorkerType alias and common types +#include "ray/core_worker/common.h" + +namespace ray { +class LocalMemoryBuffer; +} // namespace ray + +namespace ray { + +namespace core { + +/// Interface for executing shutdown operations that the coordinator invokes. +class ShutdownExecutorInterface { + public: + virtual ~ShutdownExecutorInterface() = default; + + virtual void ExecuteGracefulShutdown(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) = 0; + + virtual void ExecuteForceShutdown(std::string_view exit_type, + std::string_view detail) = 0; + + virtual void ExecuteWorkerExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) = 0; + + virtual void ExecuteExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr<::ray::LocalMemoryBuffer> + &creation_task_exception_pb_bytes) = 0; + + virtual void ExecuteHandleExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) = 0; + + // Best-effort cleanup of child processes spawned by this worker process to + // avoid leaked subprocesses holding expensive resources (e.g., CUDA contexts). + // + // - Intended to be called during shutdown (including force paths). + // - Only targets direct children of the current process; crash paths can still leak + // (subreaper not yet used). + // - No-ops when disabled by configuration + // (RayConfig::kill_child_processes_on_worker_exit()). + // - Platform-dependent: process enumeration may be unavailable on some OSes. + virtual void KillChildProcessesImmediately() = 0; + + virtual bool ShouldWorkerIdleExit() const = 0; +}; + +/// Reasons for worker shutdown. Used for observability and debugging. +enum class ShutdownReason : std::uint8_t { + kNone = 0, + kIntentionalShutdown = 1, + kUnexpectedError = 2, + kIdleTimeout = 3, + kGracefulExit = 4, + kForcedExit = 5, + kUserError = 6, + kOutOfMemory = 7, + kJobFinished = 8, + kActorKilled = 9, + kActorCreationFailed = 10 +}; + +/// Shutdown state representing the current lifecycle phase of worker shutdown. +/// The state machine supports two paths with only forward transitions: +/// +/// Normal shutdown: kRunning -> kShuttingDown -> kDisconnecting -> kShutdown +/// Force shutdown: kRunning -> kShuttingDown -> kShutdown (bypasses kDisconnecting) +/// +/// State semantics: +/// - kRunning: Normal operation, accepting new work +/// - kShuttingDown: Shutdown initiated, draining existing work, no new work accepted +/// - kDisconnecting: Disconnecting from services (raylet, GCS), cleanup phase +/// - kShutdown: Final state, all cleanup complete, ready for process termination +enum class ShutdownState : std::uint8_t { + kRunning = 0, + kShuttingDown = 1, + kDisconnecting = 2, + kShutdown = 3 +}; + +/// Thread-safe coordinator for managing worker shutdown state and transitions. +/// +/// Uses a single mutex to serialize state transitions and to capture the shutdown +/// reason exactly once. We favor simple, readable synchronization because shutdown is +/// control-path, not throughput-critical. +/// +/// Key features: +/// - Atomic state transitions with integrated reason tracking +/// - Idempotent shutdown operations +/// - Performance optimized for hot-path checks +/// - Thread-safe from any thread context +/// +/// Usage: +/// auto coordinator = std::make_unique(); +/// +/// // Try to initiate shutdown (only the first caller succeeds) +/// if (coordinator->TryInitiateShutdown(ShutdownReason::kGracefulExit)) { +/// // This thread should execute shutdown sequence +/// } +/// +/// // Fast check for early exit in performance-critical paths +/// if (coordinator->ShouldEarlyExit()) { +/// return Status::Invalid("Worker is shutting down"); +/// } +class ShutdownCoordinator { + public: + static constexpr std::chrono::milliseconds kInfiniteTimeout{-1}; + /// Constructor + /// + /// \param executor Shutdown executor implementation + /// \param worker_type Type of worker for shutdown behavior customization + explicit ShutdownCoordinator(std::unique_ptr executor, + WorkerType worker_type = WorkerType::WORKER); + + ~ShutdownCoordinator() = default; + + // Non-copyable and non-movable for safety + ShutdownCoordinator(const ShutdownCoordinator &) = delete; + ShutdownCoordinator &operator=(const ShutdownCoordinator &) = delete; + ShutdownCoordinator(ShutdownCoordinator &&) = delete; + ShutdownCoordinator &operator=(ShutdownCoordinator &&) = delete; + + /// Request shutdown with configurable timeout and fallback behavior. + /// + /// Single entry-point that captures the first shutdown reason, chooses the + /// worker-type-specific path, and optionally falls back to force. Additional + /// graceful requests are ignored; a concurrent force may override the reason + /// and proceed. + /// + /// \param force_shutdown If true, force immediate shutdown; if false, graceful shutdown + /// \param reason The reason for shutdown initiation + /// \param detail Optional detailed explanation + /// \param timeout_ms Timeout for graceful shutdown (-1 = no timeout) + /// \return true if this call initiated shutdown, false if already shutting down + bool RequestShutdown(bool force_shutdown, + ShutdownReason reason, + std::string_view detail = "", + std::chrono::milliseconds timeout_ms = kInfiniteTimeout, + const std::shared_ptr<::ray::LocalMemoryBuffer> + &creation_task_exception_pb_bytes = nullptr); + + /// Legacy method for compatibility - delegates to RequestShutdown + /// TODO (codope): This is public for now to ease incremental migration and testing. + /// Consider removing or making private once all call sites are wired to + /// RequestShutdown directly. + /// \param reason The reason for shutdown initiation + /// \return true if this call initiated shutdown, false if already shutting down + bool TryInitiateShutdown(ShutdownReason reason); + + /// Attempt to transition to disconnecting state. + /// + /// Begins the disconnection/cleanup phase (e.g., GCS/raylet disconnect). Only + /// valid from kShuttingDown. + /// + /// \return true if transition succeeded, false if invalid state + /// TODO (codope): Public-for-now to support targeted tests; make private when tests + /// drive behavior exclusively via RequestShutdown. + /// TODO (codope): Once private, we can consider removing the internal mutex acquisition + /// here and in TryTransitionToShutdown(), since RequestShutdown serializes the + /// execution path and only a single thread invokes transitions. + bool TryTransitionToDisconnecting(); + + /// Attempt to transition to final shutdown state. + /// + /// Finalizes shutdown. Allowed from kDisconnecting (normal) or kShuttingDown + /// (force path). + /// + /// \return true if transition succeeded, false if invalid state + /// TODO (codope): Public-for-now to support targeted tests; make private when tests + /// drive behavior exclusively via RequestShutdown. + /// TODO (codope): Once private, we can consider removing the internal mutex acquisition + /// here and in TryTransitionToDisconnecting(), since RequestShutdown serializes the + /// execution path and only a single thread invokes transitions. + bool TryTransitionToShutdown(); + + /// Get the current shutdown state (mutex-protected, fast path safe). + /// + /// \return Current shutdown state + ShutdownState GetState() const; + + /// Get the shutdown reason. + /// + /// The reason is set when shutdown is first initiated and remains + /// constant throughout the shutdown process. + /// + /// \return Shutdown reason (kNone if not shutting down) + ShutdownReason GetReason() const; + + /// Check if worker should early-exit from operations. + /// + /// Recommended hot-path check; returns true for any non-running state. + /// + /// \return true if operations should be aborted, false if normal operation + bool ShouldEarlyExit() const; + + /// Check if worker is in running state. + /// + /// \return true if in kRunning state, false otherwise + bool IsRunning() const; + + /// Check if shutdown has been initiated. + /// + /// \return true if in any shutdown state, false if still running + bool IsShuttingDown() const; + + /// Check if worker has completed shutdown. + /// + /// \return true if in kShutdown state, false otherwise + bool IsShutdown() const; + + /// Get string representation of current state. + /// + /// \return Human-readable state description + std::string GetStateString() const; + + /// Get string representation of exit type based on shutdown reason. + std::string GetExitTypeString() const; + + /// Get string representation of shutdown reason. + /// + /// \return Human-readable reason description + std::string GetReasonString() const; + + private: + /// Execute shutdown sequence based on worker type and mode + void ExecuteShutdownSequence( + bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr<::ray::LocalMemoryBuffer> &creation_task_exception_pb_bytes); + + /// Executes graceful path; transitions to Disconnecting/Shutdown + void ExecuteGracefulShutdown(std::string_view detail, + std::chrono::milliseconds timeout_ms); + + /// Executes force path; guarded to run at most once + void ExecuteForceShutdown(std::string_view detail); + + void ExecuteDriverShutdown(bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms); + /// Worker-type specific shutdown behavior + /// - Honors kActorCreationFailed with serialized exception payloads + /// - Uses worker-idle checks for idle exits + /// - Drains tasks/references before disconnect + void ExecuteWorkerShutdown( + bool force_shutdown, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr<::ray::LocalMemoryBuffer> &creation_task_exception_pb_bytes); + + // Executor and configuration + std::unique_ptr executor_; + WorkerType worker_type_; + + // Mutex-guarded shutdown state + mutable std::mutex mu_; + ShutdownState state_ = ShutdownState::kRunning; + ShutdownReason reason_ = ShutdownReason::kNone; + bool force_executed_ = false; + bool force_started_ = false; + + /// Shutdown detail for observability (set once during shutdown initiation) + std::string shutdown_detail_; +}; +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 8f195aeb3944..e201590fdd06 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -11,6 +11,18 @@ ray_cc_test( ], ) +ray_cc_test( + name = "shutdown_coordinator_test", + size = "medium", + srcs = ["shutdown_coordinator_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/core_worker:core_worker_lib", + "@com_google_googletest//:gtest", + "@com_google_googletest//:gtest_main", + ], +) + ray_cc_test( name = "memory_store_test", size = "small", diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc new file mode 100644 index 000000000000..6f0250ad3b8f --- /dev/null +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -0,0 +1,406 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/shutdown_coordinator.h" + +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "ray/common/buffer.h" + +namespace ray { +namespace core { + +// Simple fake executor for tests without gmock. +class FakeShutdownExecutor : public ShutdownExecutorInterface { + public: + std::atomic graceful_calls{0}; + std::atomic force_calls{0}; + std::atomic worker_exit_calls{0}; + std::atomic handle_exit_calls{0}; + std::atomic idle_exit_allowed{false}; + + std::string last_exit_type; + std::string last_detail; + + void ExecuteGracefulShutdown(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override { + graceful_calls++; + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } + void ExecuteForceShutdown(std::string_view exit_type, + std::string_view detail) override { + force_calls++; + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } + void ExecuteWorkerExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override { + worker_exit_calls++; + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } + void ExecuteExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms, + const std::shared_ptr<::ray::LocalMemoryBuffer> + &creation_task_exception_pb_bytes) override { + worker_exit_calls++; + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } + void ExecuteHandleExit(std::string_view exit_type, + std::string_view detail, + std::chrono::milliseconds timeout_ms) override { + handle_exit_calls++; + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } + void KillChildProcessesImmediately() override {} + bool ShouldWorkerIdleExit() const override { return idle_exit_allowed.load(); } +}; + +// No-op executor used in disabled/manual-transition tests. +class NoOpShutdownExecutor : public ShutdownExecutorInterface { + public: + void ExecuteGracefulShutdown(std::string_view, + std::string_view, + std::chrono::milliseconds) override {} + void ExecuteForceShutdown(std::string_view, std::string_view) override {} + void ExecuteWorkerExit(std::string_view, + std::string_view, + std::chrono::milliseconds) override {} + void ExecuteExit(std::string_view, + std::string_view, + std::chrono::milliseconds, + const std::shared_ptr<::ray::LocalMemoryBuffer> &) override {} + void ExecuteHandleExit(std::string_view, + std::string_view, + std::chrono::milliseconds) override {} + void KillChildProcessesImmediately() override {} + bool ShouldWorkerIdleExit() const override { return false; } +}; + +class ShutdownCoordinatorTest : public ::testing::Test { + protected: + // Helper to create coordinator with specific worker type + std::unique_ptr CreateCoordinator( + WorkerType worker_type = WorkerType::WORKER) { + auto fake = std::make_unique(); + return std::make_unique(std::move(fake), worker_type); + } +}; + +TEST_F(ShutdownCoordinatorTest, InitialStateWithNoTransitions_IsRunning) { + auto coordinator = CreateCoordinator(); + + EXPECT_EQ(coordinator->GetState(), ShutdownState::kRunning); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kNone); + EXPECT_TRUE(coordinator->IsRunning()); + EXPECT_FALSE(coordinator->IsShuttingDown()); + EXPECT_FALSE(coordinator->IsShutdown()); + EXPECT_FALSE(coordinator->ShouldEarlyExit()); +} + +TEST_F(ShutdownCoordinatorTest, RequestShutdown_IdempotentBehavior) { + auto coordinator = CreateCoordinator(); + + // First graceful request should succeed + EXPECT_TRUE(coordinator->RequestShutdown( + false, ShutdownReason::kGracefulExit, "test_graceful")); + const auto state = coordinator->GetState(); + EXPECT_TRUE(state == ShutdownState::kDisconnecting || + state == ShutdownState::kShutdown); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kGracefulExit); + + // A second graceful request should be ignored + EXPECT_FALSE( + coordinator->RequestShutdown(false, ShutdownReason::kUserError, "test_graceful2")); + EXPECT_EQ(coordinator->GetReason(), + ShutdownReason::kGracefulExit); // Reason is unchanged + + // A force-kill request should succeed and override the graceful one + EXPECT_TRUE( + coordinator->RequestShutdown(true, ShutdownReason::kForcedExit, "test_force")); + EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); // Reason is updated +} + +TEST_F(ShutdownCoordinatorTest, + TryInitiateShutdown_DelegatesToGraceful_OnlyFirstSucceeds) { + auto coordinator = CreateCoordinator(); + + EXPECT_TRUE(coordinator->TryInitiateShutdown(ShutdownReason::kUserError)); + const auto state = coordinator->GetState(); + EXPECT_TRUE(state == ShutdownState::kShuttingDown || + state == ShutdownState::kDisconnecting); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kUserError); + + // Second call should fail + EXPECT_FALSE(coordinator->TryInitiateShutdown(ShutdownReason::kForcedExit)); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kUserError); // unchanged +} + +TEST_F(ShutdownCoordinatorTest, + RequestShutdown_Graceful_SetsDisconnecting_ThenTryTransitionToShutdown_Succeeds) { + auto coordinator = std::make_unique( + std::make_unique(), WorkerType::WORKER); + + // Running -> ShuttingDown -> Disconnecting + EXPECT_TRUE( + coordinator->RequestShutdown(false /*graceful*/, ShutdownReason::kGracefulExit)); + + // worker path enters Disconnecting and requires explicit final step. + EXPECT_EQ(coordinator->GetState(), ShutdownState::kDisconnecting); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kGracefulExit); + + // Disconnecting -> Shutdown + EXPECT_TRUE(coordinator->TryTransitionToShutdown()); + EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); + + // Further transitions are no-ops. + EXPECT_FALSE(coordinator->TryTransitionToDisconnecting()); + EXPECT_FALSE(coordinator->TryTransitionToShutdown()); +} + +TEST_F(ShutdownCoordinatorTest, InvalidTransitions_FromRunning_Fail) { + auto coordinator = CreateCoordinator(); + + // Cannot transition to disconnecting from running + EXPECT_FALSE(coordinator->TryTransitionToDisconnecting()); + EXPECT_EQ(coordinator->GetState(), ShutdownState::kRunning); + + // Cannot transition to shutdown from running + EXPECT_FALSE(coordinator->TryTransitionToShutdown()); + EXPECT_EQ(coordinator->GetState(), ShutdownState::kRunning); +} + +TEST_F(ShutdownCoordinatorTest, ForceShutdown_TransitionsDirectlyToShutdown) { + auto coordinator = CreateCoordinator(); + + // Running -> Shutdown (completes immediately with mocked dependencies) + EXPECT_TRUE(coordinator->RequestShutdown(true, // force + ShutdownReason::kForcedExit)); + + // Already in shutdown state, manual transition should fail + EXPECT_FALSE(coordinator->TryTransitionToShutdown()); + EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); +} + +TEST_F(ShutdownCoordinatorTest, + RequestShutdown_Graceful_OnlyOneInitiatorUnderConcurrency) { + auto coordinator = CreateCoordinator(); + + constexpr int num_threads = 10; + std::atomic success_count{0}; + std::vector threads; + + // Launch multiple threads trying to initiate shutdown + for (int i = 0; i < num_threads; ++i) { + threads.emplace_back([&coordinator, &success_count, i]() { + if (coordinator->RequestShutdown(false, // graceful + ShutdownReason::kGracefulExit, + "thread_" + std::to_string(i))) { + success_count.fetch_add(1); + } + }); + } + + // Wait for all threads + for (auto &thread : threads) { + thread.join(); + } + + // Only one thread should have succeeded + EXPECT_EQ(success_count.load(), 1); + const auto state = coordinator->GetState(); + EXPECT_TRUE(state == ShutdownState::kShuttingDown || + state == ShutdownState::kDisconnecting); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kGracefulExit); +} + +TEST_F(ShutdownCoordinatorTest, Driver_GracefulReasonRecorded) { + auto coordinator = CreateCoordinator(WorkerType::DRIVER); + + EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful + ShutdownReason::kGracefulExit)); + + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kGracefulExit); +} + +TEST_F(ShutdownCoordinatorTest, Driver_ForceReasonRecorded) { + auto coordinator = CreateCoordinator(WorkerType::DRIVER); + + EXPECT_TRUE(coordinator->RequestShutdown(true, // force + ShutdownReason::kForcedExit)); + + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); +} + +TEST_F(ShutdownCoordinatorTest, Worker_GracefulInitiates) { + auto coordinator = CreateCoordinator(WorkerType::WORKER); + + EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful + ShutdownReason::kGracefulExit)); +} + +TEST_F(ShutdownCoordinatorTest, Worker_ExecuteWorkerExit_OnUserError) { + auto coordinator = CreateCoordinator(WorkerType::WORKER); + + EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful + ShutdownReason::kUserError)); +} + +TEST_F(ShutdownCoordinatorTest, Worker_HandleExit_OnIdleTimeout) { + auto coordinator = CreateCoordinator(WorkerType::WORKER); + + EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful + ShutdownReason::kIdleTimeout)); +} + +TEST_F(ShutdownCoordinatorTest, ShouldEarlyExit_Performance_IsFast) { + auto coordinator = CreateCoordinator(); + auto start = std::chrono::high_resolution_clock::now(); + constexpr int iterations = 1000000; + volatile bool result = false; + + for (int i = 0; i < iterations; ++i) { + result = coordinator->ShouldEarlyExit(); + } + + auto end = std::chrono::high_resolution_clock::now(); + auto duration = std::chrono::duration_cast(end - start); + + // Should be very fast (less than 100ns per call on modern hardware) + double ns_per_call = static_cast(duration.count()) / iterations; + EXPECT_LT(ns_per_call, 100.0) + << "ShouldEarlyExit too slow: " << ns_per_call << "ns per call"; + + // Prevent unused variable warning + (void)result; +} + +TEST_F(ShutdownCoordinatorTest, StringRepresentations_StateAndReason_AreReadable) { + auto coordinator = CreateCoordinator(); + + EXPECT_EQ(coordinator->GetStateString(), "Running"); + EXPECT_EQ(coordinator->GetReasonString(), "None"); + + coordinator->RequestShutdown(false, ShutdownReason::kGracefulExit); // graceful + + EXPECT_EQ(coordinator->GetStateString(), "Disconnecting"); + EXPECT_EQ(coordinator->GetReasonString(), "GracefulExit"); + + coordinator->TryTransitionToShutdown(); + EXPECT_EQ(coordinator->GetStateString(), "Shutdown"); +} + +TEST_F(ShutdownCoordinatorTest, ExitTypeStringMapping_UserError_IsUSER_ERROR) { + auto coordinator = CreateCoordinator(); + coordinator->RequestShutdown(false, ShutdownReason::kUserError); + EXPECT_EQ(coordinator->GetExitTypeString(), "USER_ERROR"); +} + +TEST_F(ShutdownCoordinatorTest, ExitTypeStringMapping_OOM_IsNODE_OUT_OF_MEMORY) { + auto coordinator = CreateCoordinator(); + coordinator->RequestShutdown(false, ShutdownReason::kOutOfMemory); + EXPECT_EQ(coordinator->GetExitTypeString(), "NODE_OUT_OF_MEMORY"); +} + +TEST_F(ShutdownCoordinatorTest, + ExitTypeStringMapping_IdleTimeout_IsINTENDED_SYSTEM_EXIT) { + auto coordinator = CreateCoordinator(); + coordinator->RequestShutdown(false, ShutdownReason::kIdleTimeout); + EXPECT_EQ(coordinator->GetExitTypeString(), "INTENDED_SYSTEM_EXIT"); +} + +TEST_F(ShutdownCoordinatorTest, ShouldEarlyExit_MemoryOrdering_ConcurrentVisibility) { + auto coordinator = CreateCoordinator(); + + std::atomic thread1_saw_shutdown{false}; + std::atomic thread2_saw_shutdown{false}; + + std::thread thread1([&coordinator, &thread1_saw_shutdown]() { + coordinator->RequestShutdown(false, ShutdownReason::kGracefulExit); // graceful + thread1_saw_shutdown.store(true); + }); + + std::thread thread2([&coordinator, &thread2_saw_shutdown]() { + while (!coordinator->ShouldEarlyExit()) { + std::this_thread::yield(); + } + thread2_saw_shutdown.store(true); + }); + + thread1.join(); + thread2.join(); + + // Both threads should have seen the shutdown state + EXPECT_TRUE(thread1_saw_shutdown.load()); + EXPECT_TRUE(thread2_saw_shutdown.load()); + EXPECT_TRUE(coordinator->ShouldEarlyExit()); +} + +TEST_F(ShutdownCoordinatorTest, Concurrent_GracefulVsForce_ForceExecutesOnce) { + auto fake = std::make_unique(); + auto *fake_ptr = fake.get(); + auto coordinator = + std::make_unique(std::move(fake), WorkerType::WORKER); + + std::thread t1([&] { + coordinator->RequestShutdown(false, ShutdownReason::kGracefulExit, "graceful"); + }); + std::thread t2( + [&] { coordinator->RequestShutdown(true, ShutdownReason::kForcedExit, "force"); }); + t1.join(); + t2.join(); + + EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); + EXPECT_EQ(fake_ptr->force_calls.load(), 1); + EXPECT_LE(fake_ptr->graceful_calls.load(), 1); +} + +TEST_F(ShutdownCoordinatorTest, Concurrent_DoubleForce_ForceExecutesOnce) { + auto fake = std::make_unique(); + auto *fake_ptr = fake.get(); + auto coordinator = + std::make_unique(std::move(fake), WorkerType::WORKER); + + std::thread t1( + [&] { coordinator->RequestShutdown(true, ShutdownReason::kForcedExit, "force1"); }); + std::thread t2( + [&] { coordinator->RequestShutdown(true, ShutdownReason::kForcedExit, "force2"); }); + t1.join(); + t2.join(); + + EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); + EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); + EXPECT_EQ(fake_ptr->force_calls.load(), 1); + EXPECT_EQ(fake_ptr->graceful_calls.load(), 0); + EXPECT_EQ(fake_ptr->last_detail, "force1"); +} + +} // namespace core +} // namespace ray From f976407f8a9b343b3d53c7fc4c9d3a0c47dbc8f9 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 20 Aug 2025 14:08:03 -0700 Subject: [PATCH 0792/1566] [core] directory for public proto (#55761) Currently, all of our protobuf files are organized in a flat directory under `src/ray/protobuf`. This PR introduces a public subdirectory and moves some existing files into it. Future PRs will add a private subdirectory and relocate files accordingly. This structure provides a clear indication of the intended exposure level of each protobuf file. This change also affects how we compile these files. After compilation, they remain in a flat directory (`ray/core/generated`). We flatten all sub-imports using the existing sed mechanism. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + src/ray/protobuf/BUILD.bazel | 44 +++++-------------- src/ray/protobuf/events_base_event.proto | 4 +- src/ray/protobuf/public/BUILD.bazel | 34 ++++++++++++++ .../events_driver_job_definition_event.proto | 0 .../events_driver_job_execution_event.proto | 0 6 files changed, 47 insertions(+), 36 deletions(-) create mode 100644 src/ray/protobuf/public/BUILD.bazel rename src/ray/protobuf/{ => public}/events_driver_job_definition_event.proto (100%) rename src/ray/protobuf/{ => public}/events_driver_job_execution_event.proto (100%) diff --git a/BUILD.bazel b/BUILD.bazel index 96d476d599ca..5473ddce9e41 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -457,6 +457,7 @@ genrule( # NOTE(hchen): Protobuf doesn't allow specifying Python package name. So we use this `sed` # command to change the import path in the generated file. + sed -i -E 's/from src.ray.protobuf.public/from ./' "$${files[@]}" sed -i -E 's/from src.ray.protobuf/from ./' "$${files[@]}" # Help the generated serve files to have the correct module serve_files=($$(ls "$$tmpdir"/ray/serve/generated/*_pb2*.py)) diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 6d896d64245d..01cc6a39f45e 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -8,7 +8,10 @@ package(default_visibility = ["//visibility:public"]) proto_library( name = "common_proto", srcs = ["common.proto"], - visibility = ["//java:__subpackages__"], + visibility = [ + ":__subpackages__", + "//java:__subpackages__", + ], deps = [ ":runtime_env_common_proto", ], @@ -54,7 +57,10 @@ cc_proto_library( proto_library( name = "runtime_env_common_proto", srcs = ["runtime_env_common.proto"], - visibility = ["//java:__subpackages__"], + visibility = [ + ":__subpackages__", + "//java:__subpackages__", + ], ) proto_library( @@ -487,51 +493,21 @@ proto_library( ], ) -proto_library( - name = "events_driver_job_definition_event_proto", - srcs = ["events_driver_job_definition_event.proto"], - deps = [ - ":common_proto", - ":runtime_env_common_proto", - "@com_google_protobuf//:timestamp_proto", - ], -) - -proto_library( - name = "events_driver_job_execution_event_proto", - srcs = ["events_driver_job_execution_event.proto"], - deps = [ - ":common_proto", - ":runtime_env_common_proto", - "@com_google_protobuf//:timestamp_proto", - ], -) - cc_proto_library( name = "events_task_profile_events_cc_proto", deps = [":events_task_profile_events_proto"], ) -cc_proto_library( - name = "events_driver_job_definition_event_cc_proto", - deps = [":events_driver_job_definition_event_proto"], -) - -cc_proto_library( - name = "events_driver_job_execution_event_cc_proto", - deps = [":events_driver_job_execution_event_proto"], -) - proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], deps = [ ":events_actor_task_definition_event_proto", - ":events_driver_job_definition_event_proto", - ":events_driver_job_execution_event_proto", ":events_task_definition_event_proto", ":events_task_execution_event_proto", ":events_task_profile_events_proto", + "//src/ray/protobuf/public:events_driver_job_definition_event_proto", + "//src/ray/protobuf/public:events_driver_job_execution_event_proto", "@com_google_protobuf//:timestamp_proto", ], ) diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index 3b5c9e913944..fab95867c473 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -21,8 +21,8 @@ import "src/ray/protobuf/events_actor_task_definition_event.proto"; import "src/ray/protobuf/events_task_definition_event.proto"; import "src/ray/protobuf/events_task_execution_event.proto"; import "src/ray/protobuf/events_task_profile_events.proto"; -import "src/ray/protobuf/events_driver_job_definition_event.proto"; -import "src/ray/protobuf/events_driver_job_execution_event.proto"; +import "src/ray/protobuf/public/events_driver_job_definition_event.proto"; +import "src/ray/protobuf/public/events_driver_job_execution_event.proto"; // This is the base message for all ray events. message RayEvent { diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel new file mode 100644 index 000000000000..991c911f16f1 --- /dev/null +++ b/src/ray/protobuf/public/BUILD.bazel @@ -0,0 +1,34 @@ +load("@rules_cc//cc:defs.bzl", "cc_proto_library") +load("@rules_proto//proto:defs.bzl", "proto_library") + +package(default_visibility = ["//visibility:public"]) + +proto_library( + name = "events_driver_job_definition_event_proto", + srcs = ["events_driver_job_definition_event.proto"], + deps = [ + "//src/ray/protobuf:common_proto", + "//src/ray/protobuf:runtime_env_common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + +cc_proto_library( + name = "events_driver_job_definition_event_cc_proto", + deps = [":events_driver_job_definition_event_proto"], +) + +proto_library( + name = "events_driver_job_execution_event_proto", + srcs = ["events_driver_job_execution_event.proto"], + deps = [ + "//src/ray/protobuf:common_proto", + "//src/ray/protobuf:runtime_env_common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + +cc_proto_library( + name = "events_driver_job_execution_event_cc_proto", + deps = [":events_driver_job_execution_event_proto"], +) diff --git a/src/ray/protobuf/events_driver_job_definition_event.proto b/src/ray/protobuf/public/events_driver_job_definition_event.proto similarity index 100% rename from src/ray/protobuf/events_driver_job_definition_event.proto rename to src/ray/protobuf/public/events_driver_job_definition_event.proto diff --git a/src/ray/protobuf/events_driver_job_execution_event.proto b/src/ray/protobuf/public/events_driver_job_execution_event.proto similarity index 100% rename from src/ray/protobuf/events_driver_job_execution_event.proto rename to src/ray/protobuf/public/events_driver_job_execution_event.proto From cb757ed46aebcb9ac243995655520377ef79d603 Mon Sep 17 00:00:00 2001 From: lkchen Date: Wed, 20 Aug 2025 14:10:36 -0700 Subject: [PATCH 0793/1566] [LLM] Bump to nixl==0.4.1 (#55671) Signed-off-by: Linkun Signed-off-by: Douglas Strodtman --- docker/ray-llm/Dockerfile | 4 ++-- python/requirements/llm/llm-requirements.txt | 2 +- python/requirements_compiled_rayllm_py311_cpu.txt | 14 +++++++++----- .../requirements_compiled_rayllm_py311_cu121.txt | 14 +++++++++----- .../requirements_compiled_rayllm_py311_cu128.txt | 14 +++++++++----- ...requirements_compiled_rayllm_test_py311_cpu.txt | 14 +++++++++----- ...quirements_compiled_rayllm_test_py311_cu121.txt | 14 +++++++++----- ...quirements_compiled_rayllm_test_py311_cu128.txt | 14 +++++++++----- 8 files changed, 57 insertions(+), 33 deletions(-) diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index a1e4595724de..d7038f92b883 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -76,7 +76,7 @@ sudo apt-get install -y kmod pkg-config librdmacm-dev cmake --no-questions ) -UCX_VERSION="1.18.1" +UCX_VERSION="1.19.0" ( echo "Installing UCX ${UCX_VERSION}" cd "${TEMP_DIR}" @@ -109,7 +109,7 @@ UCX_VERSION="1.18.1" ) # Keep in sync with llm-requirements.txt -NIXL_VERSION="0.3.1" +NIXL_VERSION="0.4.1" ( echo "Installing NIXL ${NIXL_VERSION}" # NIXL needs meson pybind11 ninja, but should have been included in requirements_*.txt diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index 9f2815ec0951..d8eb58a1fd7d 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -16,4 +16,4 @@ hf_transfer transformers<4.54.0 # Due to https://github.com/vllm-project/vllm-ascend/issues/2046 # nixl version Needs to be in sync with the one in ray-llm/Dockerfile -nixl==0.3.1 +nixl==0.4.1 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/requirements_compiled_rayllm_py311_cpu.txt index 3c7bccfc3a3e..9ba0d45b6817 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_py311_cpu.txt @@ -1672,11 +1672,15 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via # -c python/requirements_compiled_rayllm_test_py311_cpu.txt # -r python/requirements/llm/llm-requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/requirements_compiled_rayllm_py311_cu121.txt index 5a778ecca825..4ad206d3186f 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_py311_cu121.txt @@ -1672,11 +1672,15 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via # -c python/requirements_compiled_rayllm_test_py311_cu121.txt # -r python/requirements/llm/llm-requirements.txt diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/requirements_compiled_rayllm_py311_cu128.txt index a3b95b0166a9..47338e202f4b 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_py311_cu128.txt @@ -1636,11 +1636,15 @@ ninja==1.11.1.4 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via # -c python/requirements_compiled_rayllm_test_py311_cu128.txt # -r python/requirements/llm/llm-requirements.txt diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/requirements_compiled_rayllm_test_py311_cpu.txt index b69b89a5ea19..bcacf5033722 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/requirements_compiled_rayllm_test_py311_cpu.txt @@ -2373,11 +2373,15 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/requirements_compiled_rayllm_test_py311_cu121.txt index ebf1056ff7c6..70d213fe4e0c 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu121.txt @@ -2373,11 +2373,15 @@ ninja==1.11.1.3 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/requirements_compiled_rayllm_test_py311_cu128.txt index 913cbd464409..c8ee9734ba19 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/requirements_compiled_rayllm_test_py311_cu128.txt @@ -2336,11 +2336,15 @@ ninja==1.11.1.4 \ # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar -nixl==0.3.1 \ - --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \ - --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \ - --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \ - --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081 +nixl==0.4.1 \ + --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \ + --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \ + --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \ + --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \ + --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \ + --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \ + --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ + --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via -r python/requirements/llm/llm-requirements.txt notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ From 840b7e809e0b7ec4cea1e86b3385c5a4effaf67b Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Wed, 20 Aug 2025 14:41:19 -0700 Subject: [PATCH 0794/1566] Change the ray_accel_env_var_override_on_zero warning to future_warning (#55791) Before this pr: ``` python /ray-workspace/temp.py 2025-08-18 18:26:21,621 INFO worker.py:1943 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265 2025-08-18 18:26:53,873 WARNING worker.py:1991 -- Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 ``` After this pr: ``` 2025-08-20 19:08:41,923 INFO worker.py:1939 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265 /sgl-workspace/ray/python/ray/_private/worker.py:1987: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 warnings.warn( ``` #54928 Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 8e31acf2fc78..ebb15ee817e1 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1984,10 +1984,11 @@ def sigterm_handler(signum, frame): True, ) if override_on_zero and log_once("ray_accel_env_var_override_on_zero"): - logger.warning( + warnings.warn( "Tip: In future versions of Ray, Ray will no longer override accelerator " "visible devices env var if num_gpus=0 or num_gpus=None (default). To enable " - "this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0" + "this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0", + FutureWarning, ) node_id = global_worker.core_worker.get_current_node_id() From 1fbef17286eea49ed3ceec01865f1ccfe49dbbb1 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Wed, 20 Aug 2025 14:50:37 -0700 Subject: [PATCH 0795/1566] [Core] Bind dashboard agent grpc to specified ip instead of 0.0.0.0 (#55732) Signed-off-by: avigyabb Signed-off-by: Douglas Strodtman --- python/ray/_private/services.py | 2 +- python/ray/dashboard/agent.py | 17 ++++++++--------- 2 files changed, 9 insertions(+), 10 deletions(-) diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index 3abe99bf23b4..94040866676d 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1792,7 +1792,7 @@ def start_raylet( os.path.join(RAY_PATH, "dashboard", "agent.py"), f"--node-ip-address={node_ip_address}", f"--metrics-export-port={metrics_export_port}", - f"--dashboard-agent-port={metrics_agent_port}", + f"--grpc-port={metrics_agent_port}", f"--listen-port={dashboard_agent_listen_port}", "--node-manager-port=RAY_NODE_MANAGER_PORT_PLACEHOLDER", f"--object-store-name={plasma_store_name}", diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 1c46afee5372..976a9ee7e1a3 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -24,7 +24,7 @@ class DashboardAgent: def __init__( self, node_ip_address, - dashboard_agent_port, + grpc_port, gcs_address, cluster_id_hex, minimal, @@ -54,7 +54,7 @@ def __init__( self.temp_dir = temp_dir self.session_dir = session_dir self.log_dir = log_dir - self.dashboard_agent_port = dashboard_agent_port + self.grpc_port = grpc_port self.metrics_export_port = metrics_export_port self.node_manager_port = node_manager_port self.events_export_addr = events_export_addr @@ -111,11 +111,10 @@ def _init_non_minimal(self): ), ) # noqa ) - grpc_ip = "127.0.0.1" if self.ip == "127.0.0.1" else "0.0.0.0" try: - self.grpc_port = add_port_to_grpc_server( - self.server, build_address(grpc_ip, self.dashboard_agent_port) - ) + add_port_to_grpc_server(self.server, build_address(self.ip, self.grpc_port)) + if self.ip != "127.0.0.1" and self.ip != "localhost": + add_port_to_grpc_server(self.server, f"127.0.0.1:{self.grpc_port}") except Exception: # TODO(SongGuyang): Catch the exception here because there is # port conflict issue which brought from static port. We should @@ -129,7 +128,7 @@ def _init_non_minimal(self): else: logger.info( "Dashboard agent grpc address: %s", - build_address(grpc_ip, self.grpc_port), + build_address(self.ip, self.grpc_port), ) # If the agent is not minimal it should start the http server @@ -263,7 +262,7 @@ async def wait_forever(): help="The port to expose metrics through Prometheus.", ) parser.add_argument( - "--dashboard-agent-port", + "--grpc-port", required=True, type=int, help="The port on which the dashboard agent will receive GRPCs.", @@ -424,7 +423,7 @@ async def wait_forever(): agent = DashboardAgent( args.node_ip_address, - args.dashboard_agent_port, + args.grpc_port, args.gcs_address, args.cluster_id_hex, args.minimal, From 69927ec0f8f2ee7b228117742c7ebca668ecc543 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 20 Aug 2025 15:23:23 -0700 Subject: [PATCH 0796/1566] [Data] Fix broken code snippets in user guides (#55519) In https://github.com/ray-project/ray/pull/51334, we discovered we weren't actually testing code snippets in our user guides. As a result, there are several broken code snippets in our guides. This PR fixes some of those code snippets, and re-enables testing on the user guides. --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- bazel/python.bzl | 18 ++++++++++ doc/BUILD.bazel | 15 +++------ doc/source/data/data-internals.rst | 9 ++++- doc/source/data/inspecting-data.rst | 6 ++-- doc/source/data/loading-data.rst | 34 ++++++++++++------- doc/source/data/performance-tips.rst | 18 ++++++---- doc/source/data/saving-data.rst | 42 ++++++++++++++---------- doc/source/data/working-with-images.rst | 2 +- doc/source/data/working-with-pytorch.rst | 4 +-- 9 files changed, 97 insertions(+), 51 deletions(-) diff --git a/bazel/python.bzl b/bazel/python.bzl index 4ebe4cffdcdc..3c15ae6f527d 100644 --- a/bazel/python.bzl +++ b/bazel/python.bzl @@ -17,6 +17,24 @@ def _convert_target_to_import_path(t): # 3) Replace '/' with '.' to form an import path. return t.replace("/", ".") +def doctest_each(files, gpu = False, deps=[], srcs=[], data=[], args=[], size="medium", tags=[], pytest_plugin_file="//bazel:default_doctest_pytest_plugin.py", **kwargs): + # Unlike the `doctest` macro, `doctest_each` runs `pytest` on each file separately. + # This is useful to run tests in parallel and more clearly report the test results. + for file in files: + doctest( + files = [file], + gpu = gpu, + name = paths.split_extension(file)[0], + deps = deps, + srcs = srcs, + data = data, + args = args, + size = size, + tags = tags, + pytest_plugin_file = pytest_plugin_file, + **kwargs + ) + def doctest(files, gpu = False, name="doctest", deps=[], srcs=[], data=[], args=[], size="medium", tags=[], pytest_plugin_file="//bazel:default_doctest_pytest_plugin.py", **kwargs): # NOTE: If you run `pytest` on `__init__.py`, it tries to test all files in that # package. We don't want that, so we exclude it from the list of input files. diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 2d0ac0634687..617dd3bac2a3 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -1,6 +1,6 @@ load("@py_deps_buildkite//:requirements.bzl", ci_require = "requirement") load("@rules_python//python:defs.bzl", "py_test") -load("//bazel:python.bzl", "doctest", "py_test_run_all_notebooks", "py_test_run_all_subdirectory") +load("//bazel:python.bzl", "doctest", "doctest_each", "py_test_run_all_notebooks", "py_test_run_all_subdirectory") exports_files(["test_myst_doc.py"]) @@ -480,8 +480,7 @@ doctest( tags = ["team:core"], ) -doctest( - name = "doctest[data]", +doctest_each( files = glob( include = [ "source/data/**/*.md", @@ -492,15 +491,9 @@ doctest( "source/data/batch_inference.rst", "source/data/transforming-data.rst", # These tests are currently failing. - "source/data/loading-data.rst", - "source/data/data-internals.rst", - "source/data/inspecting-data.rst", - "source/data/loading-data.rst", - "source/data/performance-tips.rst", - "source/data/saving-data.rst", - "source/data/working-with-images.rst", "source/data/working-with-llms.rst", - "source/data/working-with-pytorch.rst", + # These don't contain code snippets. + "source/data/api/**/*.rst", ], ), pytest_plugin_file = "//python/ray/data:tests/doctest_pytest_plugin.py", diff --git a/doc/source/data/data-internals.rst b/doc/source/data/data-internals.rst index d3d3917f429d..d4a449939b14 100644 --- a/doc/source/data/data-internals.rst +++ b/doc/source/data/data-internals.rst @@ -179,12 +179,19 @@ To add custom optimization rules, implement a class that extends ``Rule`` and co import ray from ray.data._internal.logical.interfaces import Rule + from ray.data._internal.logical.optimizers import get_logical_ruleset class CustomRule(Rule): def apply(self, plan): ... - ray.data._internal.logical.optimizers.DEFAULT_LOGICAL_RULES.append(CustomRule) + logical_ruleset = get_logical_ruleset() + logical_ruleset.add(CustomRule) + +.. testcode:: + :hide: + + logical_ruleset.remove(CustomRule) Types of physical operators ~~~~~~~~~~~~~~~~~~~~~~~~~~~ diff --git a/doc/source/data/inspecting-data.rst b/doc/source/data/inspecting-data.rst index 986b0d82b6e1..0936204fc655 100644 --- a/doc/source/data/inspecting-data.rst +++ b/doc/source/data/inspecting-data.rst @@ -123,12 +123,11 @@ of the returned batch, set ``batch_format``. print(batch) .. testoutput:: - :options: +NORMALIZE_WHITESPACE + :options: +MOCK sepal length (cm) sepal width (cm) ... petal width (cm) target 0 5.1 3.5 ... 0.2 0 1 4.9 3.0 ... 0.2 0 - For more information on working with batches, see :ref:`Transforming batches ` and @@ -143,7 +142,10 @@ Ray Data calculates statistics during execution for each operator, such as wall To view stats about your :class:`Datasets `, call :meth:`Dataset.stats() ` on an executed dataset. The stats are also persisted under `/tmp/ray/session_*/logs/ray-data/ray-data.log`. For more on how to read this output, see :ref:`Monitoring Your Workload with the Ray Data Dashboard `. +.. This snippet below is skipped because of https://github.com/ray-project/ray/issues/54101. + .. testcode:: + :skipif: True import ray import datasets diff --git a/doc/source/data/loading-data.rst b/doc/source/data/loading-data.rst index ce80c8f21e9a..3abe4e31fb8e 100644 --- a/doc/source/data/loading-data.rst +++ b/doc/source/data/loading-data.rst @@ -486,13 +486,16 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `__. + .. testcode:: + :skipif: True import daft import ray - ray.init() - df = daft.from_pydict({"int_col": [i for i in range(10000)], "str_col": [str(i) for i in range(10000)]}) ds = ray.data.from_daft(df) @@ -512,7 +515,12 @@ Ray Data interoperates with distributed data processing frameworks like `Daft >> import ray - >>> from pyiceberg.expressions import EqualTo - >>> ds = ray.data.read_iceberg( - ... table_identifier="db_name.table_name", - ... row_filter=EqualTo("column_name", "literal_value"), - ... catalog_kwargs={"name": "default", "type": "glue"} - ... ) + import ray + from pyiceberg.expressions import EqualTo + ds = ray.data.read_iceberg( + table_identifier="db_name.table_name", + row_filter=EqualTo("column_name", "literal_value"), + catalog_kwargs={"name": "default", "type": "glue"} + ) + ds.show(3) .. testoutput:: + :options: +MOCK {'col1': 0, 'col2': '0'} {'col1': 1, 'col2': '1'} @@ -622,6 +630,7 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `_ objects aren't supported. + .. This snippet below is skipped because of https://github.com/ray-project/ray/issues/54837. + .. testcode:: + :skipif: True import ray.data from datasets import load_dataset diff --git a/doc/source/data/performance-tips.rst b/doc/source/data/performance-tips.rst index 9657d0235f35..1155663b22f4 100644 --- a/doc/source/data/performance-tips.rst +++ b/doc/source/data/performance-tips.rst @@ -51,7 +51,7 @@ For example, the following code batches multiple files into the same read task t ray.init(num_cpus=2) # Repeat the iris.csv file 16 times. - ds = ray.data.read_csv(["example://iris.csv"] * 16) + ds = ray.data.read_csv(["s3://anonymous@ray-example-data/iris.csv"] * 16) print(ds.materialize()) .. testoutput:: @@ -81,7 +81,7 @@ Notice how the number of output blocks is equal to ``override_num_blocks`` in th ray.init(num_cpus=2) # Repeat the iris.csv file 16 times. - ds = ray.data.read_csv(["example://iris.csv"] * 16, override_num_blocks=16) + ds = ray.data.read_csv(["s3://anonymous@ray-example-data/iris.csv"] * 16, override_num_blocks=16) print(ds.materialize()) .. testoutput:: @@ -143,7 +143,7 @@ For example, the following code executes :func:`~ray.data.read_csv` with only on # Pretend there are two CPUs. ray.init(num_cpus=2) - ds = ray.data.read_csv("example://iris.csv").map(lambda row: row) + ds = ray.data.read_csv("s3://anonymous@ray-example-data/iris.csv").map(lambda row: row) print(ds.materialize().stats()) .. testoutput:: @@ -171,7 +171,7 @@ For example, this code sets the number of files equal to ``override_num_blocks`` # Pretend there are two CPUs. ray.init(num_cpus=2) - ds = ray.data.read_csv("example://iris.csv", override_num_blocks=1).map(lambda row: row) + ds = ray.data.read_csv("s3://anonymous@ray-example-data/iris.csv", override_num_blocks=1).map(lambda row: row) print(ds.materialize().stats()) .. testoutput:: @@ -205,15 +205,21 @@ calling :func:`~ray.data.Dataset.select_columns`, since column selection is push .. testcode:: import ray + # Read just two of the five columns of the Iris dataset. - ray.data.read_parquet( + ds = ray.data.read_parquet( "s3://anonymous@ray-example-data/iris.parquet", columns=["sepal.length", "variety"], ) + + print(ds.schema()) .. testoutput:: - Dataset(num_rows=150, schema={sepal.length: double, variety: string}) + Column Type + ------ ---- + sepal.length double + variety string .. _data_memory: diff --git a/doc/source/data/saving-data.rst b/doc/source/data/saving-data.rst index d37215541584..7347f0bc4c5b 100644 --- a/doc/source/data/saving-data.rst +++ b/doc/source/data/saving-data.rst @@ -228,7 +228,7 @@ number of files & their sizes (since every block could potentially carry the row print_directory_tree("/tmp/sales_partitioned") .. testoutput:: - :options: +NORMALIZE_WHITESPACE + :options: +MOCK sales_partitioned/ city=NYC/ @@ -301,24 +301,10 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `__, call - :meth:`Dataset.to_dask() `. - - .. testcode:: - - import ray - - ds = ray.data.read_csv("s3://anonymous@ray-example-data/iris.csv") - - df = ds.to_dask() - - df + print(df) .. testoutput:: + :options: +MOCK ╭───────────────────┬──────────────────┬───────────────────┬──────────────────┬────────╮ │ sepal length (cm) ┆ sepal width (cm) ┆ petal length (cm) ┆ petal width (cm) ┆ target │ @@ -345,6 +331,25 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `__, call + :meth:`Dataset.to_dask() `. + + .. + We skip the code snippet below because `to_dask` doesn't work with PyArrow + 14 and later. For more information, see https://github.com/ray-project/ray/issues/54837 + + .. testcode:: + :skipif: True + + import ray + + ds = ray.data.read_csv("s3://anonymous@ray-example-data/iris.csv") + + df = ds.to_dask() + .. tab-item:: Spark To convert a :class:`~ray.data.dataset.Dataset` to a `Spark DataFrame @@ -352,6 +357,7 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `. .. testcode:: + :skipif: True import ray import raydp @@ -367,6 +373,7 @@ Ray Data interoperates with distributed data processing frameworks like `Daft `. .. testcode:: + :skipif: True import ray diff --git a/doc/source/data/working-with-images.rst b/doc/source/data/working-with-images.rst index 1f53fbcdf568..3152d1a90c07 100644 --- a/doc/source/data/working-with-images.rst +++ b/doc/source/data/working-with-images.rst @@ -147,7 +147,7 @@ To view the full list of supported file formats, see the Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + img struct label int64 diff --git a/doc/source/data/working-with-pytorch.rst b/doc/source/data/working-with-pytorch.rst index a101333379b3..19e9d59d53bc 100644 --- a/doc/source/data/working-with-pytorch.rst +++ b/doc/source/data/working-with-pytorch.rst @@ -229,8 +229,8 @@ You can use built-in Torch transforms from ``torchvision``, ``torchtext``, and ` Column Type ------ ---- - text - tokenized_text + text string + tokenized_text list .. _batch_inference_pytorch: From e7edde3357f7f60bc3726a474c6fc368ce4f779a Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 20 Aug 2025 18:01:59 -0700 Subject: [PATCH 0797/1566] [ci] parameterizing config path for compiling deps (#55757) parameterizing config path for raydepsets --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/compile_llm_requirements.sh | 4 +++- ci/test_compile_llm_requirements.sh | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/ci/compile_llm_requirements.sh b/ci/compile_llm_requirements.sh index a9b5f9d06660..2b3c0de1cb04 100755 --- a/ci/compile_llm_requirements.sh +++ b/ci/compile_llm_requirements.sh @@ -2,6 +2,8 @@ set -euo pipefail +CONFIG_PATH="${1:-ci/raydepsets/rayllm.depsets.yaml}" + PYTHON_CODE="$(python -c "import sys; v=sys.version_info; print(f'py{v.major}{v.minor}')")" if [[ "${PYTHON_CODE}" != "py311" ]]; then echo "--- Python version is not 3.11" @@ -16,6 +18,6 @@ cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt sed -e '/^--extra-index-url /d' -e '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt > /tmp/ray-deps/requirements_compiled.txt.tmp mv /tmp/ray-deps/requirements_compiled.txt.tmp /tmp/ray-deps/requirements_compiled.txt -bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayllm.depsets.yaml +bazel run //ci/raydepsets:raydepsets -- build "${CONFIG_PATH}" echo "--- Done" diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index 80a4a8d0a044..d9e08caf3c77 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -22,7 +22,7 @@ for LOCK_TYPE in "${LOCK_TYPES[@]}"; do done done -./ci/compile_llm_requirements.sh +./ci/compile_llm_requirements.sh ci/raydepsets/rayllm.depsets.yaml # Copy files to artifact mount on Buildkite for LOCK_TYPE in "${LOCK_TYPES[@]}"; do From 41ba1628ef54ac6494bcdf2adecdfdc12934b013 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 20 Aug 2025 18:47:41 -0700 Subject: [PATCH 0798/1566] [core] Add pubsub documentation, cleanup subscriber + tests (#55735) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/fakes/ray/pubsub/subscriber.h | 33 ++--- .../ray/gcs/gcs_server/gcs_actor_manager.h | 5 + .../ray/gcs/gcs_server/gcs_node_manager.h | 4 + src/mock/ray/pubsub/BUILD.bazel | 8 -- src/mock/ray/pubsub/publisher.h | 3 + src/mock/ray/pubsub/subscriber.h | 70 ----------- src/ray/core_worker/reference_count.cc | 15 ++- src/ray/core_worker/tests/BUILD.bazel | 5 +- .../tests/object_recovery_manager_test.cc | 6 +- .../core_worker/tests/reference_count_test.cc | 50 +++----- .../core_worker/tests/task_manager_test.cc | 6 +- src/ray/gcs/gcs_client/gcs_client.cc | 4 - src/ray/gcs/gcs_server/tests/BUILD.bazel | 1 - .../gcs_job_manager_export_event_test.cc | 14 +-- .../tests/gcs_actor_scheduler_mock_test.cc | 14 +-- .../gcs_autoscaler_state_manager_test.cc | 26 ++-- .../gcs_server/tests/gcs_job_manager_test.cc | 12 +- src/ray/gcs/pubsub/gcs_pub_sub.cc | 30 ++--- .../ownership_object_directory.cc | 4 +- src/ray/object_manager/tests/BUILD.bazel | 2 +- .../tests/ownership_object_directory_test.cc | 7 +- src/ray/protobuf/pubsub.proto | 27 ++--- src/ray/pubsub/README.md | 103 ++++++++++++---- src/ray/pubsub/subscriber.cc | 113 +++++------------- src/ray/pubsub/subscriber.h | 59 +++------ src/ray/pubsub/subscriber_interface.h | 59 +++------ src/ray/pubsub/tests/BUILD.bazel | 2 +- ...ion_test.cc => pubsub_integration_test.cc} | 7 +- src/ray/pubsub/tests/subscriber_test.cc | 65 +++++----- src/ray/raylet/.gitkeep | 0 src/ray/raylet/local_object_manager.cc | 14 +-- src/ray/raylet/tests/BUILD.bazel | 1 - .../raylet/tests/local_object_manager_test.cc | 83 +++++++------ src/ray/raylet/tests/node_manager_test.cc | 7 +- 34 files changed, 349 insertions(+), 510 deletions(-) delete mode 100644 src/mock/ray/pubsub/subscriber.h rename src/ray/pubsub/tests/{integration_test.cc => pubsub_integration_test.cc} (98%) delete mode 100644 src/ray/raylet/.gitkeep diff --git a/src/fakes/ray/pubsub/subscriber.h b/src/fakes/ray/pubsub/subscriber.h index 5abd3d33ba2d..b0afd5dd03fc 100644 --- a/src/fakes/ray/pubsub/subscriber.h +++ b/src/fakes/ray/pubsub/subscriber.h @@ -14,7 +14,7 @@ #pragma once -#include "ray/pubsub/subscriber.h" +#include "ray/pubsub/subscriber_interface.h" namespace ray { namespace pubsub { @@ -32,39 +32,22 @@ class FakeSubscriberClient : public SubscriberClientInterface { class FakeSubscriber : public SubscriberInterface { public: - bool Subscribe( + void Subscribe( std::unique_ptr sub_message, - const rpc::ChannelType channel_type, + rpc::ChannelType channel_type, const rpc::Address &owner_address, - const std::string &key_id, + const std::optional &key_id, pubsub::SubscribeDoneCallback subscribe_done_callback, pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback) override { - return true; - } - - bool SubscribeChannel( - std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &owner_address, - pubsub::SubscribeDoneCallback subscribe_done_callback, - pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback) override { - return true; - } + pubsub::SubscriptionFailureCallback subscription_failure_callback) override {} - bool Unsubscribe(const rpc::ChannelType channel_type, + bool Unsubscribe(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id) override { - return true; - } - - bool UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) override { + const std::optional &key_id) override { return true; } - bool IsSubscribed(const rpc::ChannelType channel_type, + bool IsSubscribed(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id) const override { return false; diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h b/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h index b960f753ac3d..7799fd7a9c01 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h @@ -12,6 +12,11 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include "gmock/gmock.h" +#include "ray/gcs/gcs_server/gcs_actor_manager.h" + namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h b/src/mock/ray/gcs/gcs_server/gcs_node_manager.h index 5d1851b867a8..919324cb0996 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_node_manager.h @@ -11,7 +11,11 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. + +#pragma once + #include "gmock/gmock.h" +#include "ray/gcs/gcs_server/gcs_node_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/pubsub/BUILD.bazel b/src/mock/ray/pubsub/BUILD.bazel index 1a40ca0ac02c..23bfce50a7f4 100644 --- a/src/mock/ray/pubsub/BUILD.bazel +++ b/src/mock/ray/pubsub/BUILD.bazel @@ -7,11 +7,3 @@ ray_cc_library( "//src/ray/pubsub:publisher_interface", ], ) - -ray_cc_library( - name = "mock_subscriber", - hdrs = ["subscriber.h"], - deps = [ - "//src/ray/pubsub:subscriber_interface", - ], -) diff --git a/src/mock/ray/pubsub/publisher.h b/src/mock/ray/pubsub/publisher.h index dfad1d21c2ce..1e384427db95 100644 --- a/src/mock/ray/pubsub/publisher.h +++ b/src/mock/ray/pubsub/publisher.h @@ -12,6 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include "gmock/gmock.h" #include "ray/pubsub/publisher_interface.h" namespace ray { diff --git a/src/mock/ray/pubsub/subscriber.h b/src/mock/ray/pubsub/subscriber.h deleted file mode 100644 index cf21d3a4e022..000000000000 --- a/src/mock/ray/pubsub/subscriber.h +++ /dev/null @@ -1,70 +0,0 @@ -// Copyright 2021 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include "gmock/gmock.h" -#include "ray/pubsub/subscriber.h" - -namespace ray { -namespace pubsub { - -class MockSubscriber : public SubscriberInterface { - public: - MOCK_METHOD(bool, - Subscribe, - (std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &owner_address, - const std::string &key_id, - pubsub::SubscribeDoneCallback subscribe_done_callback, - pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback), - (override)); - - MOCK_METHOD(bool, - SubscribeChannel, - (std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &owner_address, - pubsub::SubscribeDoneCallback subscribe_done_callback, - pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback), - (override)); - - MOCK_METHOD(bool, - Unsubscribe, - (const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id), - (override)); - - MOCK_METHOD(bool, - UnsubscribeChannel, - (const rpc::ChannelType channel_type, - const rpc::Address &publisher_address), - (override)); - - MOCK_METHOD(bool, - IsSubscribed, - (const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id), - (const, override)); - - MOCK_METHOD(std::string, DebugString, (), (const, override)); -}; - -} // namespace pubsub -} // namespace ray diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 6e328900a907..11c237904d2b 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -1175,14 +1175,13 @@ void ReferenceCounter::WaitForRefRemoved(const ReferenceTable::iterator &ref_it, CleanupBorrowersOnRefRemoved({}, failed_borrower_object_id, addr); }; - RAY_CHECK( - object_info_subscriber_->Subscribe(std::move(sub_message), - rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, - addr, - object_id.Binary(), - /*subscribe_done_callback=*/nullptr, - message_published_callback, - publisher_failed_callback)); + object_info_subscriber_->Subscribe(std::move(sub_message), + rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, + addr, + object_id.Binary(), + /*subscribe_done_callback=*/nullptr, + message_published_callback, + publisher_failed_callback); } void ReferenceCounter::AddNestedObjectIds(const ObjectID &object_id, diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index e201590fdd06..abf81304b176 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -46,8 +46,8 @@ ray_cc_test( srcs = ["reference_count_test.cc"], tags = ["team:core"], deps = [ + "//:ray_fakes", "//src/mock/ray/pubsub:mock_publisher", - "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", @@ -69,7 +69,6 @@ ray_cc_test( "//:ray_fakes", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", @@ -87,9 +86,9 @@ ray_cc_test( srcs = ["task_manager_test.cc"], tags = ["team:core"], deps = [ + "//:ray_fakes", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 55eeaebf706d..99024c599bde 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -20,12 +20,12 @@ #include #include +#include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/pubsub/publisher.h" -#include "mock/ray/pubsub/subscriber.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" @@ -124,7 +124,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { : local_node_id_(NodeID::FromRandom()), io_context_("TestOnly.ObjectRecoveryManagerTestBase"), publisher_(std::make_shared()), - subscriber_(std::make_shared()), + subscriber_(std::make_shared()), object_directory_(std::make_shared()), memory_store_( std::make_shared(io_context_.GetIoService())), @@ -177,7 +177,7 @@ class ObjectRecoveryManagerTestBase : public ::testing::Test { // Used by memory_store_. InstrumentedIOContextWithThread io_context_; std::shared_ptr publisher_; - std::shared_ptr subscriber_; + std::shared_ptr subscriber_; std::shared_ptr object_directory_; std::shared_ptr memory_store_; std::shared_ptr raylet_client_pool_; diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 4ca580c67ddc..44f753bbe693 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -20,10 +20,10 @@ #include #include "absl/functional/bind_front.h" +#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/pubsub/publisher.h" -#include "mock/ray/pubsub/subscriber.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" #include "ray/common/ray_object.h" @@ -44,7 +44,7 @@ class ReferenceCountTest : public ::testing::Test { virtual void SetUp() { rpc::Address addr; publisher_ = std::make_shared(); - subscriber_ = std::make_shared(); + subscriber_ = std::make_shared(); rc = std::make_unique( addr, publisher_.get(), subscriber_.get(), [](const NodeID &node_id) { return false; @@ -61,7 +61,7 @@ class ReferenceCountTest : public ::testing::Test { void AssertNoLeaks() { ASSERT_EQ(rc->NumObjectIDsInScope(), 0); } std::shared_ptr publisher_; - std::shared_ptr subscriber_; + std::shared_ptr subscriber_; }; class ReferenceCountLineageEnabledTest : public ::testing::Test { @@ -70,7 +70,7 @@ class ReferenceCountLineageEnabledTest : public ::testing::Test { virtual void SetUp() { rpc::Address addr; publisher_ = std::make_shared(); - subscriber_ = std::make_shared(); + subscriber_ = std::make_shared(); rc = std::make_unique( addr, publisher_.get(), @@ -86,7 +86,7 @@ class ReferenceCountLineageEnabledTest : public ::testing::Test { } std::shared_ptr publisher_; - std::shared_ptr subscriber_; + std::shared_ptr subscriber_; }; /// The 2 classes below are implemented to support distributed mock test using @@ -146,11 +146,11 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { ~MockDistributedSubscriber() = default; - bool Subscribe( - const std::unique_ptr sub_message, - const rpc::ChannelType channel_type, + void Subscribe( + std::unique_ptr sub_message, + rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id_binary, + const std::optional &key_id_binary, pubsub::SubscribeDoneCallback subscribe_done_callback, pubsub::SubscriptionItemCallback subscription_callback, pubsub::SubscriptionFailureCallback subscription_failure_callback) override { @@ -166,9 +166,9 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { } // Due to the test env, there are times that the same message id from the same // subscriber is subscribed twice. We should just no-op in this case. - if (!(directory_->HasKeyId(key_id_binary) && + if (!(directory_->HasKeyId(*key_id_binary) && directory_->HasSubscriber(subscriber_id_))) { - directory_->AddEntry(key_id_binary, subscriber_.get()); + directory_->AddEntry(*key_id_binary, subscriber_.get()); } const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); const auto id = GenerateID(publisher_id, subscriber_id_); @@ -184,34 +184,18 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { .first; } - const auto oid = ObjectID::FromBinary(key_id_binary); + const auto oid = ObjectID::FromBinary(*key_id_binary); callback_it->second.emplace(oid, subscription_callback); - return failure_callback_it->second.emplace(oid, subscription_failure_callback).second; + failure_callback_it->second.emplace(oid, subscription_failure_callback); } - bool SubscribeChannel( - const std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - pubsub::SubscribeDoneCallback subscribe_done_callback, - pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback) override { - RAY_LOG(FATAL) << "Unimplemented!"; - return false; - } - - bool Unsubscribe(const rpc::ChannelType channel_type, + bool Unsubscribe(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id_binary) override { - return true; - } - - bool UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) override { + const std::optional &key_id_binary) override { return true; } - bool IsSubscribed(const rpc::ChannelType channel_type, + bool IsSubscribed(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id_binary) const override { return directory_->HasKeyId(key_id_binary) && @@ -837,7 +821,7 @@ TEST(MemoryStoreIntegrationTest, TestSimple) { RayObject buffer(std::make_shared(data, sizeof(data)), nullptr, {}); auto publisher = std::make_shared(); - auto subscriber = std::make_shared(); + auto subscriber = std::make_shared(); auto rc = std::make_shared( rpc::Address(), publisher.get(), diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index 826f4d3511c4..81eee6f6ca8b 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -20,11 +20,11 @@ #include #include +#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "mock/ray/pubsub/publisher.h" -#include "mock/ray/pubsub/subscriber.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" @@ -143,7 +143,7 @@ class TaskManagerTest : public ::testing::Test { : lineage_pinning_enabled_(lineage_pinning_enabled), addr_(GetRandomWorkerAddr()), publisher_(std::make_shared()), - subscriber_(std::make_shared()), + subscriber_(std::make_shared()), task_event_buffer_mock_(std::make_unique()), mock_gcs_client_(std::make_shared()), reference_counter_(std::make_shared( @@ -215,7 +215,7 @@ class TaskManagerTest : public ::testing::Test { bool did_queue_generator_resubmit_ = false; rpc::Address addr_; std::shared_ptr publisher_; - std::shared_ptr subscriber_; + std::shared_ptr subscriber_; std::unique_ptr task_event_buffer_mock_; std::shared_ptr mock_gcs_client_; std::shared_ptr reference_counter_; diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs/gcs_client/gcs_client.cc index 6f9623ea5d4e..b5d3b1f2bf4f 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs/gcs_client/gcs_client.cc @@ -38,8 +38,6 @@ class GcsSubscriberClient final : public pubsub::SubscriberClientInterface { explicit GcsSubscriberClient(const std::shared_ptr &rpc_client) : rpc_client_(rpc_client) {} - ~GcsSubscriberClient() final = default; - void PubsubLongPolling( const rpc::PubsubLongPollingRequest &request, const rpc::ClientCallback &callback) final; @@ -48,8 +46,6 @@ class GcsSubscriberClient final : public pubsub::SubscriberClientInterface { const rpc::PubsubCommandBatchRequest &request, const rpc::ClientCallback &callback) final; - std::string DebugString() const final { return ""; } - private: const std::shared_ptr rpc_client_; }; diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 92254188d8d8..60b092b2778a 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -131,7 +131,6 @@ ray_cc_test( ":gcs_server_test_util", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index 33b80d640bf4..c4cd529da5df 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -16,19 +16,15 @@ #include #include -#include "ray/gcs/gcs_server/gcs_job_manager.h" - -// clang-format off #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" -#include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" - -// clang-format on +#include "ray/gcs/gcs_server/gcs_job_manager.h" +#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/tests/gcs_test_util.h" using json = nlohmann::json; diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index af01302aef3b..c0333a646c0b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -15,23 +15,22 @@ #include #include #include -// clang-format off -#include "gtest/gtest.h" + #include "gmock/gmock.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "mock/ray/gcs/store_client/store_client.h" +#include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/raylet_client/raylet_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_util.h" -// clang-format on +#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" using namespace ::testing; // NOLINT namespace ray { -using raylet::NoopLocalTaskManager; namespace gcs { + struct MockCallback { MOCK_METHOD(void, Call, ((std::shared_ptr))); void operator()(std::shared_ptr a) { return Call(a); } @@ -176,5 +175,6 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { actor_scheduler->CancelOnWorker(node_id, worker_id); push_normal_task_cb(Status::OK(), rpc::PushTaskReply()); } + } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 5f75f531f38b..5f3f587c17b6 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -12,30 +12,28 @@ // See the License for the specific language governing permissions and // limitations under the License. -// clang-format off -#include -#include -#include +#include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" + #include +#include #include +#include #include -#include +#include +#include #include "gmock/gmock.h" #include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" +#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "mock/ray/gcs/store_client/store_client.h" +#include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" -#include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" -#include "mock/ray/gcs/store_client/store_client.h" -#include "mock/ray/rpc/worker/core_worker_client.h" - -#include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" -// clang-format on namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index f21a5f4a926c..b41e4d727e8f 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -17,18 +17,14 @@ #include #include -// clang-format off #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" -#include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" -#include "mock/ray/pubsub/subscriber.h" #include "mock/ray/rpc/worker/core_worker_client.h" - -// clang-format on +#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/tests/gcs_test_util.h" namespace ray { diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index 354775796205..976779ec6c94 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -79,18 +79,18 @@ Status GcsSubscriber::SubscribeAllJobs( auto subscription_failure_callback = [](const std::string &, const Status &status) { RAY_LOG(WARNING) << "Subscription to Job channel failed: " << status.ToString(); }; - // Ignore if the subscription already exists, because the resubscription is intentional. - RAY_UNUSED(subscriber_->SubscribeChannel( + subscriber_->Subscribe( std::make_unique(), rpc::ChannelType::GCS_JOB_CHANNEL, gcs_address_, + /*key_id=*/std::nullopt, [done](const Status &status) { if (done != nullptr) { done(status); } }, std::move(subscribe_item_callback), - std::move(subscription_failure_callback))); + std::move(subscription_failure_callback)); return Status::OK(); } @@ -110,19 +110,18 @@ Status GcsSubscriber::SubscribeActor( RAY_LOG(WARNING) << "Subscription to Actor " << id.Hex() << " failed: " << status.ToString(); }; - // Ignore if the subscription already exists, because the resubscription is intentional. - RAY_UNUSED(subscriber_->Subscribe( + subscriber_->Subscribe( std::make_unique(), rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, - id.Binary(), + /*key_id=*/id.Binary(), [done](const Status &status) { if (done != nullptr) { done(status); } }, std::move(subscription_callback), - std::move(subscription_failure_callback))); + std::move(subscription_failure_callback)); return Status::OK(); } @@ -147,18 +146,18 @@ void GcsSubscriber::SubscribeAllNodeInfo(const ItemCallback &s auto subscription_failure_callback = [](const std::string &, const Status &status) { RAY_LOG(WARNING) << "Subscription to NodeInfo channel failed: " << status.ToString(); }; - // Ignore if the subscription already exists, because the resubscription is intentional. - RAY_UNUSED(subscriber_->SubscribeChannel( + subscriber_->Subscribe( std::make_unique(), rpc::ChannelType::GCS_NODE_INFO_CHANNEL, gcs_address_, + /*key_id=*/std::nullopt, [done](const Status &status) { if (done != nullptr) { done(status); } }, std::move(subscribe_item_callback), - std::move(subscription_failure_callback))); + std::move(subscription_failure_callback)); } Status GcsSubscriber::SubscribeAllWorkerFailures( @@ -172,10 +171,11 @@ Status GcsSubscriber::SubscribeAllWorkerFailures( << status.ToString(); }; // Ignore if the subscription already exists, because the resubscription is intentional. - RAY_UNUSED(subscriber_->SubscribeChannel( + subscriber_->Subscribe( std::make_unique(), rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL, gcs_address_, + /*key_id=*/std::nullopt, /*subscribe_done_callback=*/ [done](const Status &status) { if (done != nullptr) { @@ -183,7 +183,7 @@ Status GcsSubscriber::SubscribeAllWorkerFailures( } }, std::move(subscribe_item_callback), - std::move(subscription_failure_callback))); + std::move(subscription_failure_callback)); return Status::OK(); } @@ -216,9 +216,9 @@ Status PythonGcsSubscriber::Subscribe() { rpc::GcsSubscriberCommandBatchRequest request; request.set_subscriber_id(subscriber_id_); request.set_sender_id(worker_id_); - auto *cmd = request.add_commands(); - cmd->set_channel_type(channel_type_); - cmd->mutable_subscribe_message(); + auto *command = request.add_commands(); + command->set_channel_type(channel_type_); + command->mutable_subscribe_message(); rpc::GcsSubscriberCommandBatchReply reply; grpc::Status status = diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index a7046463e700..3e3d958f5a17 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -370,14 +370,14 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( auto sub_message = std::make_unique(); sub_message->mutable_worker_object_locations_message()->Swap(request.get()); - RAY_CHECK(object_location_subscriber_->Subscribe( + object_location_subscriber_->Subscribe( std::move(sub_message), rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL, owner_address, object_id.Binary(), /*subscribe_done_callback=*/nullptr, /*Success callback=*/msg_published_callback, - /*Failure callback=*/failure_callback)); + /*Failure callback=*/failure_callback); auto location_state = LocationListenerState(); location_state.owner_address = owner_address; diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index 9d56d86614e6..c59944be6ddc 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -36,7 +36,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//src/mock/ray/pubsub:mock_subscriber", + "//:ray_fakes", "//src/ray/object_manager:ownership_object_directory", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index 9fc8964fdfb7..4156ed167954 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -21,9 +21,9 @@ #include #include +#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/pubsub/subscriber.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" #include "ray/gcs/gcs_client/accessor.h" @@ -126,7 +126,7 @@ class OwnershipBasedObjectDirectoryTest : public ::testing::Test { /*fetch_cluster_id_if_nil=*/false), gcs_client_mock_( new MockGcsClient(options_, std::make_unique())), - subscriber_(std::make_shared()), + subscriber_(std::make_shared()), owner_client(std::make_shared()), client_pool([&](const rpc::Address &addr) { return owner_client; }) { RayConfig::instance().initialize(R"({"max_object_report_batch_size": 20})"); @@ -199,7 +199,7 @@ class OwnershipBasedObjectDirectoryTest : public ::testing::Test { instrumented_io_context io_service_; gcs::GcsClientOptions options_; std::shared_ptr gcs_client_mock_; - std::shared_ptr subscriber_; + std::shared_ptr subscriber_; std::shared_ptr owner_client; rpc::CoreWorkerClientPool client_pool; std::unique_ptr obod_; @@ -486,7 +486,6 @@ TEST_F(OwnershipBasedObjectDirectoryTest, TestNotifyOnUpdate) { UniqueID callback_id = UniqueID::FromRandom(); ObjectID obj_id = ObjectID::FromRandom(); int num_callbacks = 0; - EXPECT_CALL(*subscriber_, Subscribe(_, _, _, _, _, _, _)).WillOnce(Return(true)); ASSERT_TRUE( obod_ ->SubscribeObjectLocations(callback_id, diff --git a/src/ray/protobuf/pubsub.proto b/src/ray/protobuf/pubsub.proto index 89d3ab55a76e..eba420d2097e 100644 --- a/src/ray/protobuf/pubsub.proto +++ b/src/ray/protobuf/pubsub.proto @@ -24,7 +24,6 @@ import "src/ray/protobuf/logging.proto"; /// For example, for pubsub channels that are used by core workers, /// they have the prefix WORKER_. enum ChannelType { - reserved 9; /// A channel for object eviction. WORKER_OBJECT_EVICTION = 0; /// A channel for ref removed. @@ -44,7 +43,7 @@ enum ChannelType { /// A channel for logs from various Ray components. RAY_LOG_CHANNEL = 8; /// A channel for reporting node resource usage stats. - RAY_NODE_RESOURCE_USAGE_CHANNEL = 10; + RAY_NODE_RESOURCE_USAGE_CHANNEL = 9; } /// @@ -52,7 +51,6 @@ enum ChannelType { /// message PubMessage { - reserved 10, 14; /// Channel type for this publish message. ChannelType channel_type = 1; /// The key id (e.g., object id) in bytes. @@ -62,19 +60,17 @@ message PubMessage { WorkerObjectEvictionMessage worker_object_eviction_message = 3; WorkerRefRemovedMessage worker_ref_removed_message = 4; WorkerObjectLocationsPubMessage worker_object_locations_message = 5; + FailureMessage failure_message = 6; ActorTableData actor_message = 7; JobTableData job_message = 8; GcsNodeInfo node_info_message = 9; - WorkerDeltaData worker_delta_message = 11; - ErrorTableData error_info_message = 12; - LogBatch log_batch_message = 13; - NodeResourceUsage node_resource_usage_message = 15; - - // The message that indicates the given key id is not available anymore. - FailureMessage failure_message = 6; + WorkerDeltaData worker_delta_message = 10; + ErrorTableData error_info_message = 11; + LogBatch log_batch_message = 12; + NodeResourceUsage node_resource_usage_message = 13; } /// A monotonically increasing sequence_id generated by the publisher. - int64 sequence_id = 16; + int64 sequence_id = 14; } message WorkerObjectEvictionMessage { @@ -117,8 +113,7 @@ message WorkerObjectLocationsPubMessage { } /// Indicating the subscriber needs to handle failure callback. -message FailureMessage { -} +message FailureMessage {} /// /// Subscribe @@ -141,8 +136,7 @@ message Command { } } -message UnsubscribeMessage { -} +message UnsubscribeMessage {} /// Each of subscribe command needs to include request body because in Ray's pubsub /// module, it doesn't subscribe the same data structure (like for Redis, @@ -225,8 +219,7 @@ message PubsubCommandBatchRequest { repeated Command commands = 2; } -message PubsubCommandBatchReply { -} +message PubsubCommandBatchReply {} service SubscriberService { /// The long polling request sent to the publisher for pubsub operations. diff --git a/src/ray/pubsub/README.md b/src/ray/pubsub/README.md index d57793b7e901..75d32cead1f3 100644 --- a/src/ray/pubsub/README.md +++ b/src/ray/pubsub/README.md @@ -1,7 +1,7 @@ # Pubsub module -The doc is written on June 9th 2021. The implementation can be changed in any -time, and the documentation could be out of date. +This doc has last been updated on Aug 19, 2025. This doc should be updated +as the implementation changes. ## Motivation @@ -31,6 +31,9 @@ situation. - Publisher: A process that publishes messages to subscribers. - Subscriber: A process that subscribes channels from publishers. - Channel: Equivalent to topic in Kafka. +- Key/Entity: A specific item you care about in the channel. E.g. in + the actor channel, you only care about a specific actor id so that's + the key you subscribe to. Not all channels have keys you can subscribe by. - Command: Equivalent to Redis pubsub's command. E.g., Subscribe / Unsubscribe. ## Features @@ -45,36 +48,90 @@ situation. subscribers. - Subscriber failure detection. The subscriber failure is tracked by publishers. -- The module is general and can be used in arbitrary two core ray components. +- The module is general and can be used in two arbitrary Ray components. ## Limitation -- If messages are published before it is subscribed from the publisher, they - are lost. -- It doesn't handle the fault tolerance by design because raylet -> core_worker - (the most common use case) doesn't require it. The fault tolerance needs to - be implemented in the higher layer. +If messages are published before a subscription, they're lost. ## Implementation -The pubsub module doesn't have a broker like traditional pubsub systems because -there's no use case. In the pubsub module, all publishers are also brokers. The -performance, especially a throughput is not a requirement when developed, and -the module is not designed for high throughput. +In this pubsub implementation, publishers directly send messages to subscribers. +There are no intermediary brokers. The performance, especially throughput +wasn't a requirement when developed, and therefore the module isn't designed +for high throughput. ### Basic mechanism -Between the publisher and subscriber, there's only 1 long-polling connection. -The long polling connection is initiated from the subscriber when there are -subscribing entries from the publisher. Whenever publisher publishes messages, -they are batched to the reply of the long polling request in FIFO order. +#### PubsubCommandBatch +A command is an operation from a subscriber to publisher. Subscribe and +Unsubscribe are the only commands. Commands are served by `PubsubCommandBatch`, +which batches them in the FIFO order. We limit to it one in-flight `PubsubCommandBatchRequest` +at a time to prevent out of order subscribes / unsubscribes. Because of this, +we have to queue up commands and therefore have to batch commands when sending them. + +#### PubsubLongPolling +Between the publisher and subscriber, there's only 1 long-polling connection +(only one in-flight request), no matter how many separate channels / keys the +subscriber is subscribed to. The subscriber will always have an in-flight +`PubsubLongPollingRequest` as long as it's subscribed to something. Whenever a +publisher publishes messages to that subscriber, they're batched to the reply +of the long polling request in FIFO order. + +### Pubsub Code Flow +Breakdown of the pubsub flow from the subscriber and publisher +Note that this section ignores fault tolerance. + +#### Subscriber Actions + +1. **On a Subscribe call** + - Sends a `PubsubCommandBatchRequest` with its own `subscriber_id` and a `SubMessage` + Command containing `channel_type` and optionally `key_id` + - Sends a `PubsubLongPollingRequest` with its own `subscriber_id` + +2. **Subscribe done** + - Receives `PubsubCommandBatchReply` and runs a callback if provided on subscribe + - Sends new commands to publisher if they've been queued up, e.g. another subscribe to + something else or an unsubscribe to something + - Only allows one in-flight `PubsubCommandBatchRequest` to ensure command ordering + +3. **Message Processing** + - Receives reply to `PubsubLongPollingRequest` and processes published messages + - Sends another `PubsubLongPollingRequest` if subscription still exists + +4. **Unsubscribe** + - Sends `PubsubCommandBatchRequest` with `UnsubscribeMessage` when unsubscribing + +#### Publisher Actions + +1. **Subscribe Handling** + - Receives `PubsubCommandBatchRequest` and creates a `SubscriberState` for the + subscriber if it doesn't exist + - Registers subscription for the given channel + key by setting up a relation between + an `EntityState` and a `SubscriberState` + - Note that the publisher maintains a `SubscriptionIndex` for each channel, and each + `SubscriptionIndex` holds `EntityState` objects for each key. Each `EntityState` + holds `SubscriberState` pointers to send / queue up messages to send. There's a + special `EntityState` in every `SubscriptionIndex` for "subscribing to all" + +2. **Initial Long Polling Request** + - Receives `PubsubLongPollingRequest` and creates `SubscriberState` if it doesn't exist. + Note that the `SubscriberState` might not exist because the initial `PubsubLongPollingRequest` + could arrive before the associated `PubsubCommandBatchRequest`. + - Creates a `LongPollConnection` in the `SubscriberState` to store the reply + reply callback + - Attempts to publish by replying to the request if mailbox already contains messages + - If mailbox is empty, waits until next relevant publish to reply and send the publish + +3. **Subsequent Long Polling** + - Receives a subsequent `PubsubLongPollingRequest` from the subscriber and checks mailbox + - Publishes messages if mailbox isn't empty, or waits for relevant publish to reply + +4. **Unsubscribe** + - Receives unsubscribe command and unregisters `SubscriberState` from the appropriate + `EntityState` + - Erases the `EntityState` if it no longer contains any `SubscriberState` pointers + - Periodically cleans up "Dead" `SubscriberState`'s -### Commands - -A command is an operation from a subscriber to publisher. For example, -Subscribe or Unsubscribe could be a command. Commands are served by a separate -RPC, which also batches them in the FIFO order. Subscriber keeps sending -commands until they are not queued. There's no backpressure mechanism here. ### Fault detection @@ -93,4 +150,4 @@ as there are subscribing entries from them. If subscribers are failed, they are not sending any more long polling requests. Publishers refreshes the long polling request every 30 seconds to check if the subscriber is still alive. If the subscriber doesn't initiate a long polling request for more than certain -threshold, subscriber is condiered to be failed and all metadata is cleaned up. +threshold, the subscriber is considered failed and all metadata is cleaned up. diff --git a/src/ray/pubsub/subscriber.cc b/src/ray/pubsub/subscriber.cc index c23b6ecb47fc..792cf9fd403a 100644 --- a/src/ray/pubsub/subscriber.cc +++ b/src/ray/pubsub/subscriber.cc @@ -30,7 +30,7 @@ const UniqueID kDefaultUniqueID{}; /// SubscriberChannel /////////////////////////////////////////////////////////////////////////////// -bool SubscriberChannel::Subscribe( +void SubscriberChannel::Subscribe( const rpc::Address &publisher_address, const std::optional &key_id, SubscriptionItemCallback subscription_callback, @@ -39,21 +39,18 @@ bool SubscriberChannel::Subscribe( const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); if (key_id) { - return subscription_map_[publisher_id] - .per_entity_subscription - .try_emplace(*key_id, - SubscriptionInfo(std::move(subscription_callback), - std::move(subscription_failure_callback))) - .second; + subscription_map_[publisher_id].per_entity_subscription.try_emplace( + *key_id, + SubscriptionInfo(std::move(subscription_callback), + std::move(subscription_failure_callback))); + return; } auto &all_entities_subscription = subscription_map_[publisher_id].all_entities_subscription; - if (all_entities_subscription != nullptr) { - return false; + if (all_entities_subscription == nullptr) { + all_entities_subscription = std::make_unique( + std::move(subscription_callback), std::move(subscription_failure_callback)); } - all_entities_subscription = std::make_unique( - std::move(subscription_callback), std::move(subscription_failure_callback)); - return true; } bool SubscriberChannel::Unsubscribe(const rpc::Address &publisher_address, @@ -232,50 +229,15 @@ std::string SubscriberChannel::DebugString() const { /// Subscriber /////////////////////////////////////////////////////////////////////////////// -Subscriber::~Subscriber() { - // TODO(mwtian): flush Subscriber and ensure there is no leak during destruction. - // TODO(ryw): Remove this subscriber from the service by GcsUnregisterSubscriber. -} - -bool Subscriber::Subscribe(std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::string &key_id, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) { - return SubscribeInternal(std::move(sub_message), - channel_type, - publisher_address, - key_id, - std::move(subscribe_done_callback), - std::move(subscription_callback), - std::move(subscription_failure_callback)); -} - -bool Subscriber::SubscribeChannel( - std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) { - return SubscribeInternal(std::move(sub_message), - channel_type, - publisher_address, - std::nullopt, - std::move(subscribe_done_callback), - std::move(subscription_callback), - std::move(subscription_failure_callback)); -} - -bool Subscriber::Unsubscribe(const rpc::ChannelType channel_type, +bool Subscriber::Unsubscribe(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id) { + const std::optional &key_id) { // Batch the unsubscribe command. auto command = std::make_unique(); command->cmd.set_channel_type(channel_type); - command->cmd.set_key_id(key_id); + if (key_id.has_value()) { + command->cmd.set_key_id(*key_id); + } command->cmd.mutable_unsubscribe_message(); absl::MutexLock lock(&mutex_); @@ -286,22 +248,7 @@ bool Subscriber::Unsubscribe(const rpc::ChannelType channel_type, return Channel(channel_type)->Unsubscribe(publisher_address, key_id); } -bool Subscriber::UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) { - // Batch the unsubscribe command. - auto command = std::make_unique(); - command->cmd.set_channel_type(channel_type); - command->cmd.mutable_unsubscribe_message(); - - absl::MutexLock lock(&mutex_); - const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); - commands_[publisher_id].emplace(std::move(command)); - SendCommandBatchIfPossible(publisher_address); - - return Channel(channel_type)->Unsubscribe(publisher_address, std::nullopt); -} - -bool Subscriber::IsSubscribed(const rpc::ChannelType channel_type, +bool Subscriber::IsSubscribed(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id) const { absl::MutexLock lock(&mutex_); @@ -312,18 +259,17 @@ bool Subscriber::IsSubscribed(const rpc::ChannelType channel_type, return channel->IsSubscribed(publisher_address, key_id); } -bool Subscriber::SubscribeInternal( - std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::optional &key_id, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) { +void Subscriber::Subscribe(std::unique_ptr sub_message, + rpc::ChannelType channel_type, + const rpc::Address &publisher_address, + const std::optional &key_id, + SubscribeDoneCallback subscribe_done_callback, + SubscriptionItemCallback subscription_callback, + SubscriptionFailureCallback subscription_failure_callback) { // Batch a subscribe command. auto command = std::make_unique(); command->cmd.set_channel_type(channel_type); - if (key_id) { + if (key_id.has_value()) { command->cmd.set_key_id(*key_id); } if (sub_message != nullptr) { @@ -336,7 +282,7 @@ bool Subscriber::SubscribeInternal( commands_[publisher_id].emplace(std::move(command)); SendCommandBatchIfPossible(publisher_address); MakeLongPollingConnectionIfNotConnected(publisher_address); - return Channel(channel_type) + this->Channel(channel_type) ->Subscribe(publisher_address, key_id, std::move(subscription_callback), @@ -364,7 +310,8 @@ void Subscriber::MakeLongPollingPubsubConnection(const rpc::Address &publisher_a long_polling_request.set_max_processed_sequence_id(processed_state.second); subscriber_client->PubsubLongPolling( long_polling_request, - [this, publisher_address](Status status, rpc::PubsubLongPollingReply &&reply) { + [this, publisher_address](const Status &status, + rpc::PubsubLongPollingReply &&reply) { absl::MutexLock lock(&mutex_); HandleLongPollingResponse(publisher_address, status, std::move(reply)); }); @@ -375,7 +322,6 @@ void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address rpc::PubsubLongPollingReply &&reply) { const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); RAY_LOG(DEBUG) << "Long polling request has been replied from " << publisher_id; - RAY_CHECK(publishers_connected_.count(publisher_id)); if (!status.ok()) { // If status is not okay, we treat that the publisher is dead. @@ -398,8 +344,7 @@ void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address << processed_sequences_[publisher_id].first << ", this can only happen when gcs failsover."; } - // reset publisher_id and processed_sequence - // if the publisher_id changes. + // reset publisher_id and processed_sequence if the publisher_id changes. processed_sequences_[publisher_id].first = reply_publisher_id; processed_sequences_[publisher_id].second = 0; } @@ -501,8 +446,8 @@ void Subscriber::SendCommandBatchIfPossible(const rpc::Address &publisher_addres // This means the publisher has failed. // The publisher dead detection & command clean up will be done // from the long polling request. - RAY_LOG(DEBUG) << "The command batch request to " << publisher_id - << " has failed"; + RAY_LOG(WARNING) << "The command batch request to " << publisher_id + << " has failed"; } { absl::MutexLock lock(&mutex_); diff --git a/src/ray/pubsub/subscriber.h b/src/ray/pubsub/subscriber.h index 0bdcdcb2674e..584c5a849452 100644 --- a/src/ray/pubsub/subscriber.h +++ b/src/ray/pubsub/subscriber.h @@ -70,11 +70,11 @@ class SubscriberChannel { /// /// \param publisher_address Address of the publisher to subscribe the object. /// \param message id The message id to subscribe from the publisher. - /// \param subscription_callback A callback that is invoked whenever the given object - /// information is published. - /// \param subscription_failure_callback A callback that is - /// invoked whenever the publisher is dead (or failed). - bool Subscribe(const rpc::Address &publisher_address, + /// \param subscription_item_callback A callback that is invoked whenever the given + /// object information is published. + /// \param subscription_failure_callback A callback that is invoked whenever the + /// publisher is dead (or failed). + void Subscribe(const rpc::Address &publisher_address, const std::optional &key_id, SubscriptionItemCallback subscription_item_callback, SubscriptionFailureCallback subscription_failure_callback); @@ -129,7 +129,7 @@ class SubscriberChannel { } /// Return the channel type of this subscribe channel. - const rpc::ChannelType GetChannelType() const { return channel_type_; } + rpc::ChannelType GetChannelType() const { return channel_type_; } /// Return the statistics of the specific channel. std::string DebugString() const; @@ -149,14 +149,14 @@ class SubscriberChannel { const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); if (subscription_it == subscription_map_.end()) { - return absl::nullopt; + return std::nullopt; } if (subscription_it->second.all_entities_subscription != nullptr) { return subscription_it->second.all_entities_subscription->item_cb; } auto callback_it = subscription_it->second.per_entity_subscription.find(key_id); if (callback_it == subscription_it->second.per_entity_subscription.end()) { - return absl::nullopt; + return std::nullopt; } return callback_it->second.item_cb; } @@ -168,14 +168,14 @@ class SubscriberChannel { const auto publisher_id = UniqueID::FromBinary(publisher_address.worker_id()); auto subscription_it = subscription_map_.find(publisher_id); if (subscription_it == subscription_map_.end()) { - return absl::nullopt; + return std::nullopt; } if (subscription_it->second.all_entities_subscription != nullptr) { return subscription_it->second.all_entities_subscription->failure_cb; } auto callback_it = subscription_it->second.per_entity_subscription.find(key_id); if (callback_it == subscription_it->second.per_entity_subscription.end()) { - return absl::nullopt; + return std::nullopt; } return callback_it->second.failure_cb; } @@ -223,39 +223,26 @@ class Subscriber : public SubscriberInterface { instrumented_io_context *callback_service) : subscriber_id_(subscriber_id), max_command_batch_size_(max_command_batch_size), - get_client_(get_client) { + get_client_(std::move(get_client)) { for (auto type : channels) { channels_.emplace(type, std::make_unique(type, callback_service)); } } - ~Subscriber(); - - bool Subscribe(std::unique_ptr sub_message, - const rpc::ChannelType channel_type, + void Subscribe(std::unique_ptr sub_message, + rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id, + const std::optional &key_id, SubscribeDoneCallback subscribe_done_callback, SubscriptionItemCallback subscription_callback, SubscriptionFailureCallback subscription_failure_callback) override; - bool SubscribeChannel( - std::unique_ptr sub_message, - rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) override; - - bool Unsubscribe(const rpc::ChannelType channel_type, + bool Unsubscribe(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id) override; - - bool UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) override; + const std::optional &key_id) override; - bool IsSubscribed(const rpc::ChannelType channel_type, + bool IsSubscribed(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id) const override; @@ -290,18 +277,6 @@ class Subscriber : public SubscriberInterface { // Testing only. Check if there are leaks. bool CheckNoLeaks() const ABSL_LOCKS_EXCLUDED(mutex_); - /// - /// Private fields - /// - - bool SubscribeInternal(std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - const std::optional &key_id, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback); - /// Create a long polling connection to the publisher for receiving the published /// messages. /// NOTE(sang): Note that the subscriber needs to "ensure" that the long polling diff --git a/src/ray/pubsub/subscriber_interface.h b/src/ray/pubsub/subscriber_interface.h index 42d8fbfeac8c..86db9130410e 100644 --- a/src/ray/pubsub/subscriber_interface.h +++ b/src/ray/pubsub/subscriber_interface.h @@ -39,10 +39,10 @@ class SubscriberInterface { public: /// There are two modes of subscriptions. Each channel can only be subscribed in one /// mode, i.e. - /// - Calling Subscribe() to subscribe to one or more entities in a channel - /// - Calling SubscribeChannel() once to subscribe to all entities in a channel - /// It is an error to call both Subscribe() and SubscribeChannel() on the same channel - /// type. This restriction can be relaxed later, if there is a use case. + /// - Calling Subscribe() to subscribe to one or more entities in a channel. + /// - Calling Subscribe() once to subscribe to all entities in a channel. + /// NOTE: It is an error to call both Subscribe() to all entities and then only + /// subscribe to one entity on the same channel type. /// Subscribe to entity key_id in channel channel_type. /// NOTE(sang): All the callbacks could be executed in a different thread from a caller. @@ -51,72 +51,45 @@ class SubscriberInterface { /// \param sub_message The subscription message. /// \param channel_type The channel to subscribe to. /// \param publisher_address Address of the publisher to subscribe the object. - /// \param key_id The entity id to subscribe from the publisher. + /// \param key_id The entity id to subscribe from the publisher. Subscribes to all + /// entities if nullopt. /// \param subscription_callback A callback that is invoked whenever the given entity /// information is received by the subscriber. /// \param subscription_failure_callback A callback that is invoked whenever the /// connection to publisher is broken (e.g. the publisher fails). - /// \return True if inserted, false if the key already exists and this becomes a no-op. - virtual bool Subscribe(std::unique_ptr sub_message, + virtual void Subscribe(std::unique_ptr sub_message, rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id, + const std::optional &key_id, SubscribeDoneCallback subscribe_done_callback, SubscriptionItemCallback subscription_callback, SubscriptionFailureCallback subscription_failure_callback) = 0; - /// Subscribe to all entities in channel channel_type. - /// - /// \param sub_message The subscription message. - /// \param channel_type The channel to subscribe to. - /// \param publisher_address Address of the publisher to subscribe the object. - /// \param subscription_callback A callback that is invoked whenever an entity - /// information is received by the subscriber. - /// \param subscription_failure_callback A callback that is invoked whenever the - /// connection to publisher is broken (e.g. the publisher fails). - /// \return True if inserted, false if the channel is already subscribed and this - /// becomes a no-op. - virtual bool SubscribeChannel( - std::unique_ptr sub_message, - rpc::ChannelType channel_type, - const rpc::Address &publisher_address, - SubscribeDoneCallback subscribe_done_callback, - SubscriptionItemCallback subscription_callback, - SubscriptionFailureCallback subscription_failure_callback) = 0; - /// Unsubscribe the entity if the entity has been subscribed with Subscribe(). /// NOTE: Calling this method inside subscription_failure_callback is not allowed. /// /// \param channel_type The channel to unsubscribe from. /// \param publisher_address The publisher address that it will unsubscribe from. - /// \param key_id The entity id to unsubscribe. + /// \param key_id The entity id to unsubscribe. Unsubscribes from all entities if + /// nullopt. /// \return Returns whether the entity key_id has been subscribed before. - virtual bool Unsubscribe(const rpc::ChannelType channel_type, + virtual bool Unsubscribe(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id) = 0; - - /// Unsubscribe from the channel_type. Must be paired with SubscribeChannel(). - /// NOTE: Calling this method inside subscription_failure_callback is not allowed. - /// - /// \param channel_type The channel to unsubscribe from. - /// \param publisher_address The publisher address that it will unsubscribe from. - /// \return Returns whether the entity key_id has been subscribed before. - virtual bool UnsubscribeChannel(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address) = 0; + const std::optional &key_id) = 0; /// Test only. /// Checks if the entity key_id is being subscribed to specifically. - /// Does not consider if SubscribeChannel() has been called on the channel. + /// Does not consider if the subscriber is subscribed to all entities in a channel. /// /// \param publisher_address The publisher address to check. /// \param key_id The entity id to check. - virtual bool IsSubscribed(const rpc::ChannelType channel_type, + virtual bool IsSubscribed(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id) const = 0; virtual std::string DebugString() const = 0; - virtual ~SubscriberInterface() {} + virtual ~SubscriberInterface() = default; }; /// Interface for the client used by a subscriber. @@ -132,8 +105,6 @@ class SubscriberClientInterface { const rpc::PubsubCommandBatchRequest &request, const rpc::ClientCallback &callback) = 0; - virtual std::string DebugString() const = 0; - virtual ~SubscriberClientInterface() = default; }; diff --git a/src/ray/pubsub/tests/BUILD.bazel b/src/ray/pubsub/tests/BUILD.bazel index 0f19f2b7f356..f1879f8008e6 100644 --- a/src/ray/pubsub/tests/BUILD.bazel +++ b/src/ray/pubsub/tests/BUILD.bazel @@ -27,7 +27,7 @@ ray_cc_test( ray_cc_test( name = "pubsub_integration_test", size = "small", - srcs = ["integration_test.cc"], + srcs = ["pubsub_integration_test.cc"], tags = ["team:core"], deps = [ "//src/ray/protobuf:pubsub_cc_grpc", diff --git a/src/ray/pubsub/tests/integration_test.cc b/src/ray/pubsub/tests/pubsub_integration_test.cc similarity index 98% rename from src/ray/pubsub/tests/integration_test.cc rename to src/ray/pubsub/tests/pubsub_integration_test.cc index 5dc62b32cb6b..626242d3befc 100644 --- a/src/ray/pubsub/tests/integration_test.cc +++ b/src/ray/pubsub/tests/pubsub_integration_test.cc @@ -239,10 +239,11 @@ TEST_F(IntegrationTest, SubscribersToOneIDAndAllIDs) { std::vector actors_2; auto subscriber_2 = CreateSubscriber(); - subscriber_2->SubscribeChannel( + subscriber_2->Subscribe( std::make_unique(), rpc::ChannelType::GCS_ACTOR_CHANNEL, address_proto_, + /*key_id=*/std::nullopt, /*subscribe_done_callback=*/ [&counter](Status status) { RAY_CHECK_OK(status); @@ -293,7 +294,9 @@ TEST_F(IntegrationTest, SubscribersToOneIDAndAllIDs) { subscriber_1->Unsubscribe( rpc::ChannelType::GCS_ACTOR_CHANNEL, address_proto_, subscribed_actor); - subscriber_2->UnsubscribeChannel(rpc::ChannelType::GCS_ACTOR_CHANNEL, address_proto_); + subscriber_2->Unsubscribe(rpc::ChannelType::GCS_ACTOR_CHANNEL, + address_proto_, + /*key_id=*/std::nullopt); // Waiting here is necessary to avoid invalid memory access during shutdown. // TODO(mwtian): cancel inflight polls during subscriber shutdown, and remove the diff --git a/src/ray/pubsub/tests/subscriber_test.cc b/src/ray/pubsub/tests/subscriber_test.cc index e926cbaf48e7..c2b212c13ce9 100644 --- a/src/ray/pubsub/tests/subscriber_test.cc +++ b/src/ray/pubsub/tests/subscriber_test.cc @@ -121,8 +121,6 @@ class MockWorkerClient : public pubsub::SubscriberClientInterface { int GetNumberOfInFlightLongPollingRequests() { return long_polling_callbacks.size(); } - std::string DebugString() const override { return ""; } - ~MockWorkerClient(){}; std::deque> long_polling_callbacks; @@ -274,12 +272,13 @@ TEST_F(SubscriberTest, TestIgnoreOutofOrderMessage) { const auto owner_addr = GenerateOwnerAddress(); const auto object_id = ObjectID::FromRandom(); const auto object_id1 = ObjectID::FromRandom(); - subscriber_->SubscribeChannel(std::make_unique(), - channel, - owner_addr, - /*subscribe_done_callback=*/nullptr, - subscription_callback, - failure_callback); + subscriber_->Subscribe(std::make_unique(), + channel, + owner_addr, + /*key_id=*/std::nullopt, + /*subscribe_done_callback=*/nullptr, + subscription_callback, + failure_callback); ASSERT_TRUE(owner_client->ReplyCommandBatch()); std::vector objects_batched; @@ -320,12 +319,13 @@ TEST_F(SubscriberTest, TestPublisherFailsOver) { const auto owner_addr = GenerateOwnerAddress(); const auto object_id = ObjectID::FromRandom(); const auto object_id1 = ObjectID::FromRandom(); - subscriber_->SubscribeChannel(std::make_unique(), - channel, - owner_addr, - /*subscribe_done_callback=*/nullptr, - subscription_callback, - failure_callback); + subscriber_->Subscribe(std::make_unique(), + channel, + owner_addr, + /*key_id=*/std::nullopt, + /*subscribe_done_callback=*/nullptr, + subscription_callback, + failure_callback); ASSERT_TRUE(owner_client->ReplyCommandBatch()); std::vector objects_batched; @@ -458,9 +458,9 @@ TEST_F(SubscriberTest, TestCallbackNotInvokedForNonSubscribedObject) { ASSERT_EQ(object_subscribed_[object_id], 0); } -TEST_F(SubscriberTest, TestSubscribeChannelEntities) { +TEST_F(SubscriberTest, TestSubscribeAllEntities) { /// - /// Make sure SubscribeChannel() can receive all entities from a channel. + /// Make sure Subscribe() can receive all entities from a channel. /// auto subscription_callback = [this](const rpc::PubMessage &msg) { @@ -469,12 +469,13 @@ TEST_F(SubscriberTest, TestSubscribeChannelEntities) { auto failure_callback = EMPTY_FAILURE_CALLBACK; const auto owner_addr = GenerateOwnerAddress(); - subscriber_->SubscribeChannel(std::make_unique(), - channel, - owner_addr, - /*subscribe_done_callback=*/nullptr, - subscription_callback, - failure_callback); + subscriber_->Subscribe(std::make_unique(), + channel, + owner_addr, + /*key_id=*/std::nullopt, + /*subscribe_done_callback=*/nullptr, + subscription_callback, + failure_callback); ASSERT_TRUE(owner_client->ReplyCommandBatch()); ASSERT_EQ(owner_client->GetNumberOfInFlightLongPollingRequests(), 1); @@ -503,7 +504,7 @@ TEST_F(SubscriberTest, TestSubscribeChannelEntities) { } // Unsubscribe from the channel. - ASSERT_TRUE(subscriber_->UnsubscribeChannel(channel, owner_addr)); + ASSERT_TRUE(subscriber_->Unsubscribe(channel, owner_addr, /*key_id=*/std::nullopt)); } TEST_F(SubscriberTest, TestIgnoreBatchAfterUnsubscription) { @@ -551,14 +552,15 @@ TEST_F(SubscriberTest, TestIgnoreBatchAfterUnsubscribeFromAll) { auto failure_callback = EMPTY_FAILURE_CALLBACK; const auto owner_addr = GenerateOwnerAddress(); - subscriber_->SubscribeChannel(std::make_unique(), - channel, - owner_addr, - /*subscribe_done_callback=*/nullptr, - subscription_callback, - failure_callback); + subscriber_->Subscribe(std::make_unique(), + channel, + owner_addr, + /*key_id=*/std::nullopt, + /*subscribe_done_callback=*/nullptr, + subscription_callback, + failure_callback); ASSERT_TRUE(owner_client->ReplyCommandBatch()); - ASSERT_TRUE(subscriber_->UnsubscribeChannel(channel, owner_addr)); + ASSERT_TRUE(subscriber_->Unsubscribe(channel, owner_addr, /*key_id=*/std::nullopt)); ASSERT_TRUE(owner_client->ReplyCommandBatch()); const auto object_id = ObjectID::FromRandom(); @@ -981,9 +983,6 @@ TEST_F(SubscriberTest, TestIsSubscribed) { ASSERT_FALSE(subscriber_->IsSubscribed(channel, owner_addr, object_id.Binary())); } -// TODO(sang): Need to add a network failure test once we support network failure -// properly. - } // namespace pubsub } // namespace ray diff --git a/src/ray/raylet/.gitkeep b/src/ray/raylet/.gitkeep deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 37862bb69d05..6530bd08653b 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -98,13 +98,13 @@ void LocalObjectManager::PinObjectsAndWaitForFree( auto sub_message = std::make_unique(); sub_message->mutable_worker_object_eviction_message()->Swap(wait_request.get()); - RAY_CHECK(core_worker_subscriber_->Subscribe(std::move(sub_message), - rpc::ChannelType::WORKER_OBJECT_EVICTION, - owner_address, - object_id.Binary(), - /*subscribe_done_callback=*/nullptr, - subscription_callback, - owner_dead_callback)); + core_worker_subscriber_->Subscribe(std::move(sub_message), + rpc::ChannelType::WORKER_OBJECT_EVICTION, + owner_address, + object_id.Binary(), + /*subscribe_done_callback=*/nullptr, + subscription_callback, + owner_dead_callback); } } diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index eb558ec5c368..71350f2d30ad 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -179,7 +179,6 @@ ray_cc_test( ":util", "//:ray_fakes", "//:ray_mock", - "//src/mock/ray/pubsub:mock_subscriber", "//src/ray/common:ray_object", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/raylet:local_object_manager_interface", diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index 3688518efa90..2a366322e74a 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -47,18 +47,17 @@ using ::testing::_; class MockSubscriber : public pubsub::SubscriberInterface { public: - bool Subscribe( + void Subscribe( const std::unique_ptr sub_message, - const rpc::ChannelType channel_type, + rpc::ChannelType channel_type, const rpc::Address &owner_address, - const std::string &key_id_binary, + const std::optional &key_id_binary, pubsub::SubscribeDoneCallback subscribe_done_callback, pubsub::SubscriptionItemCallback subscription_callback, pubsub::SubscriptionFailureCallback subscription_failure_callback) override { auto worker_id = WorkerID::FromBinary(owner_address.worker_id()); callbacks[worker_id].push_back( - std::make_pair(ObjectID::FromBinary(key_id_binary), subscription_callback)); - return true; + std::make_pair(ObjectID::FromBinary(*key_id_binary), subscription_callback)); } bool PublishObjectEviction(WorkerID worker_id = WorkerID::Nil()) { @@ -87,25 +86,13 @@ class MockSubscriber : public pubsub::SubscriberInterface { return true; } - MOCK_METHOD6(SubscribeChannel, - bool(std::unique_ptr sub_message, - const rpc::ChannelType channel_type, - const rpc::Address &owner_address, - pubsub::SubscribeDoneCallback subscribe_done_callback, - pubsub::SubscriptionItemCallback subscription_callback, - pubsub::SubscriptionFailureCallback subscription_failure_callback)); - MOCK_METHOD3(Unsubscribe, - bool(const rpc::ChannelType channel_type, + bool(rpc::ChannelType channel_type, const rpc::Address &publisher_address, - const std::string &key_id_binary)); - - MOCK_METHOD2(UnsubscribeChannel, - bool(const rpc::ChannelType channel_type, - const rpc::Address &publisher_address)); + const std::optional &key_id_binary)); MOCK_CONST_METHOD3(IsSubscribed, - bool(const rpc::ChannelType channel_type, + bool(rpc::ChannelType channel_type, const rpc::Address &publisher_address, const std::string &key_id_binary)); @@ -459,7 +446,9 @@ TEST_F(LocalObjectManagerTest, TestPin) { for (size_t i = 0; i < free_objects_batch_size; i++) { ASSERT_TRUE(freed.empty()); - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } std::unordered_set expected(object_ids.begin(), object_ids.end()); @@ -945,7 +934,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteNoSpilledObjects) { for (size_t i = 0; i < free_objects_batch_size; i++) { ASSERT_TRUE(freed.empty()); - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } @@ -995,7 +986,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteSpilledObjects) { // All objects are out of scope now. for (size_t i = 0; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } @@ -1054,7 +1047,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteURLRefCount) { // Everything is evicted except the last object. In this case, ref count is still > 0. for (size_t i = 0; i < free_objects_batch_size - 1; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } manager.ProcessSpilledObjectsDeleteQueue(/* max_batch_size */ 30); @@ -1068,7 +1063,10 @@ TEST_F(LocalObjectManagerTest, TestDeleteURLRefCount) { // The last reference is deleted. EXPECT_CALL(*subscriber_, - Unsubscribe(_, _, object_ids[free_objects_batch_size - 1].Binary())); + Unsubscribe(_, + _, + std::make_optional( + object_ids[free_objects_batch_size - 1].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); manager.ProcessSpilledObjectsDeleteQueue(/* max_batch_size */ 30); deleted_urls_size = worker_pool.io_worker_client->ReplyDeleteSpilledObjects(); @@ -1136,7 +1134,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteSpillingObjectsBlocking) { // Every object has gone out of scope. for (size_t i = 0; i < spilled_urls_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } // Now, deletion queue would process only the first spill set. Everything else won't be @@ -1204,7 +1204,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteMaxObjects) { // Every reference has gone out of scope. for (size_t i = 0; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } @@ -1256,7 +1258,8 @@ TEST_F(LocalObjectManagerTest, TestDeleteURLRefCountRaceCondition) { ASSERT_EQ(GetCurrentSpilledCount(), object_ids_to_spill.size()); ASSERT_EQ(GetCurrentSpilledBytes(), object_size * object_ids_to_spill.size()); - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[0].Binary())); + EXPECT_CALL(*subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[0].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); // Delete operation is called. In this case, the file with the url should not be // deleted. @@ -1270,7 +1273,9 @@ TEST_F(LocalObjectManagerTest, TestDeleteURLRefCountRaceCondition) { // Everything else is now deleted. for (size_t i = 1; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } manager.ProcessSpilledObjectsDeleteQueue(/* max_batch_size */ 30); @@ -1337,7 +1342,9 @@ TEST_F(LocalObjectManagerTest, TestDuplicatePin) { auto owner_id1 = WorkerID::FromBinary(owner_address.worker_id()); for (size_t i = 0; i < free_objects_batch_size; i++) { ASSERT_TRUE(freed.empty()); - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction(owner_id1)); } std::unordered_set expected(object_ids.begin(), object_ids.end()); @@ -1378,7 +1385,9 @@ TEST_F(LocalObjectManagerTest, TestDuplicatePinAndSpill) { auto owner_id1 = WorkerID::FromBinary(owner_address.worker_id()); for (size_t i = 0; i < free_objects_batch_size; i++) { ASSERT_TRUE(freed.empty()); - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction(owner_id1)); } std::unordered_set expected(object_ids.begin(), object_ids.end()); @@ -1604,7 +1613,9 @@ TEST_F(LocalObjectManagerTest, TestPinBytes) { // Delete all (spilled) objects. for (size_t i = 0; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } manager.ProcessSpilledObjectsDeleteQueue(/* max_batch_size */ 30); @@ -1666,7 +1677,9 @@ TEST_F(LocalObjectManagerTest, TestConcurrentSpillAndDelete1) { // Delete all objects while they're being spilled. for (size_t i = 0; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } @@ -1737,7 +1750,9 @@ TEST_F(LocalObjectManagerTest, TestConcurrentSpillAndDelete2) { // Delete all objects while allocating an IO worker. for (size_t i = 0; i < free_objects_batch_size; i++) { - EXPECT_CALL(*subscriber_, Unsubscribe(_, _, object_ids[i].Binary())); + EXPECT_CALL( + *subscriber_, + Unsubscribe(_, _, std::make_optional(object_ids[i].Binary()))); ASSERT_TRUE(subscriber_->PublishObjectEviction()); } diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 55e4d75a1468..56bd7d90f873 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -21,6 +21,7 @@ #include #include +#include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "mock/ray/core_worker/experimental_mutable_object_provider.h" @@ -28,7 +29,6 @@ #include "mock/ray/object_manager/object_directory.h" #include "mock/ray/object_manager/object_manager.h" #include "mock/ray/object_manager/plasma/client.h" -#include "mock/ray/pubsub/subscriber.h" #include "mock/ray/raylet/local_task_manager.h" #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" @@ -391,7 +391,7 @@ class NodeManagerTest : public ::testing::Test { node_manager_config.maximum_startup_concurrency = 1; node_manager_config.store_socket_name = "test_store_socket"; - core_worker_subscriber_ = std::make_unique(); + core_worker_subscriber_ = std::make_unique(); mock_object_directory_ = std::make_unique(); mock_object_manager_ = std::make_unique(); @@ -409,7 +409,6 @@ class NodeManagerTest : public ::testing::Test { EXPECT_CALL(*mock_gcs_client_, DebugString()).WillRepeatedly(Return("")); EXPECT_CALL(*mock_object_manager_, DebugString()).WillRepeatedly(Return("")); EXPECT_CALL(*mock_object_directory_, DebugString()).WillRepeatedly(Return("")); - EXPECT_CALL(*core_worker_subscriber_, DebugString()).WillRepeatedly(Return("")); raylet_node_id_ = NodeID::FromRandom(); @@ -508,7 +507,7 @@ class NodeManagerTest : public ::testing::Test { rpc::RayletClientPool raylet_client_pool_; NodeID raylet_node_id_; - std::unique_ptr core_worker_subscriber_; + std::unique_ptr core_worker_subscriber_; std::unique_ptr cluster_resource_scheduler_; std::unique_ptr local_task_manager_; std::unique_ptr cluster_task_manager_; From e9dceb1e652576169e28d545e1304f6c0b789877 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 20 Aug 2025 21:04:39 -0500 Subject: [PATCH 0799/1566] [core] Remove global `util` target (#55782) Split the `util.h` target into appropriate sub-targets, fixed all targets that depend on it to depend on the sub-targets instead. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- cpp/BUILD.bazel | 1 - cpp/src/ray/config_internal.cc | 3 +- cpp/src/ray/util/process_helper.cc | 1 - python/ray/includes/global_state_accessor.pxd | 1 + src/ray/common/BUILD.bazel | 17 +- src/ray/common/asio/asio_util.h | 1 - src/ray/common/cgroup/BUILD.bazel | 3 +- src/ray/common/cgroup/cgroup_setup.cc | 1 - src/ray/common/id.cc | 1 - src/ray/common/id.h | 1 - src/ray/common/memory_monitor.cc | 1 - src/ray/common/scheduling/scheduling_ids.h | 1 - src/ray/common/status.h | 1 + src/ray/common/test_util.cc | 2 +- src/ray/common/test_util.h | 1 - src/ray/common/tests/BUILD.bazel | 1 + src/ray/common/tests/ray_syncer_test.cc | 1 + src/ray/core_worker/BUILD.bazel | 6 +- src/ray/core_worker/common.cc | 2 + src/ray/core_worker/core_worker.cc | 1 - src/ray/core_worker/core_worker_process.cc | 1 - .../experimental_mutable_object_manager.cc | 1 + .../core_worker/object_recovery_manager.cc | 2 - .../store_provider/plasma_store_provider.cc | 1 + src/ray/core_worker/task_manager.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 1 + .../core_worker/tests/actor_creator_test.cc | 1 + src/ray/gcs/BUILD.bazel | 1 + src/ray/gcs/gcs_client/BUILD.bazel | 1 + .../gcs/gcs_client/global_state_accessor.cc | 1 + src/ray/gcs/gcs_client/tests/BUILD.bazel | 5 + .../tests/gcs_client_reconnection_test.cc | 2 +- .../gcs/gcs_client/tests/gcs_client_test.cc | 2 +- .../tests/global_state_accessor_test.cc | 1 + src/ray/gcs/gcs_server/BUILD.bazel | 2 + src/ray/gcs/gcs_server/gcs_actor_manager.cc | 1 + src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 1 + .../gcs_autoscaler_state_manager.cc | 1 + src/ray/gcs/gcs_server/gcs_job_manager.cc | 1 + src/ray/gcs/gcs_server/gcs_node_manager.cc | 1 + .../gcs/gcs_server/gcs_placement_group_mgr.h | 1 + src/ray/gcs/gcs_server/gcs_server.cc | 1 - src/ray/gcs/gcs_server/gcs_server_main.cc | 2 +- src/ray/gcs/pb_util.h | 1 + src/ray/gcs/store_client/BUILD.bazel | 1 - src/ray/gcs/store_client/redis_context.cc | 1 - src/ray/gcs/store_client/tests/BUILD.bazel | 8 +- .../tests/redis_async_context_test.cc | 1 + .../tests/redis_store_client_test.cc | 2 + src/ray/ipc/BUILD.bazel | 3 + src/ray/ipc/client_connection.cc | 3 +- src/ray/ipc/raylet_ipc_client.cc | 16 +- src/ray/ipc/tests/BUILD.bazel | 1 + src/ray/ipc/tests/client_connection_test.cc | 1 + src/ray/object_manager/BUILD.bazel | 1 + src/ray/object_manager/common.cc | 2 + src/ray/object_manager/plasma/BUILD.bazel | 4 +- src/ray/object_manager/plasma/connection.cc | 1 + .../plasma/create_request_queue.cc | 1 - src/ray/object_manager/plasma/store.cc | 4 +- .../object_manager/plasma/tests/BUILD.bazel | 1 + .../plasma/tests/fallback_allocator_test.cc | 3 +- .../plasma/tests/mutable_object_test.cc | 1 + src/ray/raylet/BUILD.bazel | 10 +- src/ray/raylet/agent_manager.cc | 1 - src/ray/raylet/agent_manager.h | 1 + src/ray/raylet/local_object_manager.cc | 1 - src/ray/raylet/local_object_manager.h | 1 + src/ray/raylet/main.cc | 4 +- src/ray/raylet/node_manager.cc | 5 +- .../raylet/placement_group_resource_manager.h | 1 - src/ray/raylet/raylet.cc | 2 +- src/ray/raylet/runtime_env_agent_client.cc | 2 + src/ray/raylet/tests/BUILD.bazel | 1 + src/ray/raylet/tests/worker_pool_test.cc | 1 + src/ray/raylet/worker_pool.cc | 2 +- .../rpc/node_manager/raylet_client_pool.cc | 2 - src/ray/stats/BUILD.bazel | 1 - src/ray/stats/metric_exporter.h | 1 - src/ray/util/BUILD.bazel | 45 ++-- src/ray/util/event.cc | 2 +- src/ray/util/internal/tests/BUILD.bazel | 4 +- .../tests/stream_redirection_handle_test.cc | 9 +- src/ray/util/network_util.cc | 134 ++++++++++- src/ray/util/network_util.h | 36 +++ src/ray/util/pipe_logger.cc | 2 + src/ray/util/pipe_logger.h | 2 +- src/ray/util/process.cc | 5 + src/ray/util/process.h | 4 + src/ray/util/raii.h | 43 ++++ src/ray/util/spdlog_fd_sink.h | 2 +- src/ray/util/spdlog_newliner_sink.h | 1 - src/ray/util/stream_redirection.cc | 6 +- src/ray/util/string_utils.cc | 13 + src/ray/util/string_utils.h | 3 + src/ray/util/temporary_directory.cc | 4 +- src/ray/util/tests/BUILD.bazel | 34 +-- src/ray/util/tests/logging_test.cc | 2 +- src/ray/util/tests/network_util_test.cc | 39 +++ src/ray/util/tests/pipe_logger_test.cc | 25 +- src/ray/util/tests/process_cleanup_test.cc | 5 +- .../tests/{util_test.cc => process_test.cc} | 51 +--- src/ray/util/tests/signal_test.cc | 4 +- .../util/tests/spdlog_newliner_sink_test.cc | 14 +- .../tests/stream_redirection_exit_test.cc | 6 +- src/ray/util/{timestamp_utils.h => time.cc} | 17 +- src/ray/util/time.h | 51 ++++ src/ray/util/util.cc | 227 ------------------ src/ray/util/util.h | 189 --------------- 110 files changed, 546 insertions(+), 607 deletions(-) create mode 100644 src/ray/util/raii.h rename src/ray/util/tests/{util_test.cc => process_test.cc} (52%) rename src/ray/util/{timestamp_utils.h => time.cc} (59%) create mode 100644 src/ray/util/time.h delete mode 100644 src/ray/util/util.cc delete mode 100644 src/ray/util/util.h diff --git a/BUILD.bazel b/BUILD.bazel index 5473ddce9e41..65c06e57345c 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -280,8 +280,8 @@ pyx_library( "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:serialization_cc_proto", "//src/ray/thirdparty/setproctitle", - "//src/ray/util", "//src/ray/util:memory", + "//src/ray/util:raii", "//src/ray/util:stream_redirection", "//src/ray/util:stream_redirection_options", ], diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 3164cf7cacf5..745316e11a32 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -67,7 +67,6 @@ cc_library( "//src/ray/common:task_common", "//src/ray/core_worker:core_worker_lib", "//src/ray/gcs/gcs_client:global_state_accessor_lib", - "//src/ray/util", "//src/ray/util:cmd_line_utils", "//src/ray/util:network_util", "//src/ray/util:process", diff --git a/cpp/src/ray/config_internal.cc b/cpp/src/ray/config_internal.cc index 01ee6001502c..b5ae0b2d227b 100644 --- a/cpp/src/ray/config_internal.cc +++ b/cpp/src/ray/config_internal.cc @@ -22,6 +22,7 @@ #include "absl/flags/parse.h" #include "absl/strings/str_split.h" #include "nlohmann/json.hpp" +#include "ray/common/id.h" #include "ray/util/network_util.h" ABSL_FLAG(std::string, ray_address, "", "The address of the Ray cluster to connect to."); @@ -235,7 +236,7 @@ void ConfigInternal::Init(RayConfig &config, int argc, char **argv) { ray_namespace = FLAGS_ray_job_namespace.CurrentValue(); } if (ray_namespace.empty()) { - ray_namespace = GenerateUUIDV4(); + ray_namespace = UniqueID::FromRandom().Hex(); } } diff --git a/cpp/src/ray/util/process_helper.cc b/cpp/src/ray/util/process_helper.cc index 63c75ffaf24f..fbddae45f7b9 100644 --- a/cpp/src/ray/util/process_helper.cc +++ b/cpp/src/ray/util/process_helper.cc @@ -21,7 +21,6 @@ #include "ray/util/cmd_line_utils.h" #include "ray/util/network_util.h" #include "ray/util/process.h" -#include "ray/util/util.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index 1d6e5cd1c8c9..7d115b469ce9 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -72,6 +72,7 @@ cdef extern from * namespace "ray::gcs" nogil: #include #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/redis_store_client.h" + #include "ray/util/raii.h" namespace ray { namespace gcs { diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 992728a11bc7..5eea6f6c8bea 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -19,10 +19,11 @@ ray_cc_library( ":id", ":ray_object", "//src/ray/protobuf:common_cc_proto", - "//src/ray/util", "//src/ray/util:cmd_line_utils", "//src/ray/util:network_util", "//src/ray/util:path_utils", + "//src/ray/util:process", + "//src/ray/util:time", "@boost//:optional", "@com_google_googletest//:gtest", ], @@ -61,7 +62,6 @@ ray_cc_library( deps = [ ":ray_config", ":status", - "//src/ray/util", "//src/ray/util:logging", "//src/ray/util:type_traits", "@com_github_grpc_grpc//:grpc++", @@ -80,7 +80,7 @@ ray_cc_library( deps = [ ":asio", ":ray_config", - "//src/ray/util", + "//src/ray/util:process", "@com_google_absl//absl/strings", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_prod", @@ -94,7 +94,6 @@ ray_cc_library( hdrs = ["file_system_monitor.h"], deps = [ ":asio", - "//src/ray/util", "//src/ray/util:event", "@com_google_googletest//:gtest_prod", ], @@ -133,7 +132,7 @@ ray_cc_library( ":status", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/util", + "//src/ray/thirdparty:sha256", "//src/ray/util:random", "@com_github_google_flatbuffers//:flatbuffers", "@msgpack", @@ -180,7 +179,6 @@ ray_cc_library( ":ray_object", ":runtime_env", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/util", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -209,7 +207,6 @@ ray_cc_library( deps = [ ":event_stats", ":ray_config", - "//src/ray/util", "//src/ray/util:array", "//src/ray/util:function_traits", "@boost//:asio", @@ -229,7 +226,6 @@ ray_cc_library( deps = [ ":ray_config", "//src/ray/stats:stats_metric", - "//src/ray/util", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/synchronization", ], @@ -244,8 +240,8 @@ ray_cc_library( "ray_internal_flag_def.h", ], deps = [ - "//src/ray/util", - "@com_google_absl//absl/algorithm", + "//src/ray/util:logging", + "@boost//:algorithm", "@com_google_absl//absl/strings", "@nlohmann_json", ], @@ -284,6 +280,7 @@ ray_cc_library( deps = [ ":macros", ":source_location", + "//src/ray/util:logging", "//src/ray/util:macros", "//src/ray/util:visibility", "@boost//:system", diff --git a/src/ray/common/asio/asio_util.h b/src/ray/common/asio/asio_util.h index 38564c8ac0e3..793729fb5d89 100644 --- a/src/ray/common/asio/asio_util.h +++ b/src/ray/common/asio/asio_util.h @@ -25,7 +25,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/util/array.h" #include "ray/util/thread_utils.h" -#include "ray/util/util.h" template std::shared_ptr execute_after( diff --git a/src/ray/common/cgroup/BUILD.bazel b/src/ray/common/cgroup/BUILD.bazel index a67086c14e75..1487689d8985 100644 --- a/src/ray/common/cgroup/BUILD.bazel +++ b/src/ray/common/cgroup/BUILD.bazel @@ -14,8 +14,9 @@ ray_cc_library( ":cgroup_utils", ":constants", "//src/ray/common:macros", - "//src/ray/util", + "//src/ray/util:filesystem", "//src/ray/util:invoke_once_token", + "//src/ray/util:logging", "//src/ray/util:path_utils", "@com_google_absl//absl/strings:str_format", ], diff --git a/src/ray/common/cgroup/cgroup_setup.cc b/src/ray/common/cgroup/cgroup_setup.cc index 3087e172d457..5a3903768b7f 100644 --- a/src/ray/common/cgroup/cgroup_setup.cc +++ b/src/ray/common/cgroup/cgroup_setup.cc @@ -85,7 +85,6 @@ Status CheckCgroupV2MountedRW(const std::string &directory) { #include "ray/util/invoke_once_token.h" #include "ray/util/logging.h" #include "ray/util/path_utils.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/common/id.cc b/src/ray/common/id.cc index 91041d75d70f..53b033dfb7f5 100644 --- a/src/ray/common/id.cc +++ b/src/ray/common/id.cc @@ -25,7 +25,6 @@ #include "ray/common/constants.h" #include "ray/common/status.h" #include "ray/util/macros.h" -#include "ray/util/util.h" extern "C" { #include "ray/thirdparty/sha256.h" diff --git a/src/ray/common/id.h b/src/ray/common/id.h index 6296c717253c..736c116a341a 100644 --- a/src/ray/common/id.h +++ b/src/ray/common/id.h @@ -27,7 +27,6 @@ #include "ray/common/constants.h" #include "ray/util/logging.h" #include "ray/util/random.h" -#include "ray/util/util.h" #include "ray/util/visibility.h" namespace ray { diff --git a/src/ray/common/memory_monitor.cc b/src/ray/common/memory_monitor.cc index 2a07d57b3e52..1c60943402a9 100644 --- a/src/ray/common/memory_monitor.cc +++ b/src/ray/common/memory_monitor.cc @@ -23,7 +23,6 @@ #include "ray/common/ray_config.h" #include "ray/util/logging.h" #include "ray/util/process.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/common/scheduling/scheduling_ids.h b/src/ray/common/scheduling/scheduling_ids.h index e3b067bc53b8..e054bc5c9c60 100644 --- a/src/ray/common/scheduling/scheduling_ids.h +++ b/src/ray/common/scheduling/scheduling_ids.h @@ -25,7 +25,6 @@ #include "ray/common/constants.h" #include "ray/common/ray_config.h" #include "ray/util/logging.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/common/status.h b/src/ray/common/status.h index 1230b449c072..58c83f3abb8f 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -35,6 +35,7 @@ #include "absl/strings/str_cat.h" #include "ray/common/macros.h" #include "ray/common/source_location.h" +#include "ray/util/logging.h" #include "ray/util/macros.h" #include "ray/util/visibility.h" diff --git a/src/ray/common/test_util.cc b/src/ray/common/test_util.cc index 14307488c87e..0fed9ae8dc5e 100644 --- a/src/ray/common/test_util.cc +++ b/src/ray/common/test_util.cc @@ -28,7 +28,7 @@ #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" -#include "ray/util/util.h" +#include "ray/util/time.h" namespace ray { diff --git a/src/ray/common/test_util.h b/src/ray/common/test_util.h index 8be836b49e01..cdb9ae4dfc88 100644 --- a/src/ray/common/test_util.h +++ b/src/ray/common/test_util.h @@ -21,7 +21,6 @@ #include "gtest/gtest.h" #include "ray/common/asio/asio_util.h" #include "ray/common/id.h" -#include "ray/util/util.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/common/tests/BUILD.bazel b/src/ray/common/tests/BUILD.bazel index cbb4211981b5..76b56ffbb30d 100644 --- a/src/ray/common/tests/BUILD.bazel +++ b/src/ray/common/tests/BUILD.bazel @@ -54,6 +54,7 @@ ray_cc_test( "//src/ray/rpc:grpc_server", "//src/ray/util:network_util", "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_github_grpc_grpc//:grpc++", "@com_google_googletest//:gtest", ], diff --git a/src/ray/common/tests/ray_syncer_test.cc b/src/ray/common/tests/ray_syncer_test.cc index 6982980efedf..cb2b81579eb4 100644 --- a/src/ray/common/tests/ray_syncer_test.cc +++ b/src/ray/common/tests/ray_syncer_test.cc @@ -40,6 +40,7 @@ #include "ray/rpc/grpc_server.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" +#include "ray/util/raii.h" using ray::NodeID; using ::testing::_; diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 625744d2d526..388e6b3a9d8b 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -46,7 +46,6 @@ ray_cc_library( "//src/ray/rpc:core_worker_client", "//src/ray/rpc:core_worker_server", "//src/ray/stats:stats_lib", - "//src/ray/util", "//src/ray/util:container_util", "//src/ray/util:env", "//src/ray/util:event", @@ -86,6 +85,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:task_common", + "//src/ray/util:process", ], ) @@ -251,9 +251,9 @@ ray_cc_library( "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/stats:stats_metric", - "//src/ray/util", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", + "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/strings", @@ -272,6 +272,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/object_manager:object_manager_common", "//src/ray/object_manager/plasma:plasma_client", + "//src/ray/util:time", "@com_google_absl//absl/container:node_hash_map", "@com_google_absl//absl/strings", "@com_google_googletest//:gtest_prod", @@ -353,6 +354,7 @@ ray_cc_library( "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:common_cc_proto", + "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], diff --git a/src/ray/core_worker/common.cc b/src/ray/core_worker/common.cc index e82ed8d8fbed..a28a54053051 100644 --- a/src/ray/core_worker/common.cc +++ b/src/ray/core_worker/common.cc @@ -19,6 +19,8 @@ #include #include +#include "ray/util/process.h" + namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index c816dd2a09e6..8efe6a7878bf 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -47,7 +47,6 @@ #include "ray/util/container_util.h" #include "ray/util/event.h" #include "ray/util/subreaper.h" -#include "ray/util/util.h" using json = nlohmann::json; using MessageType = ray::protocol::MessageType; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index db60abd62293..59fe6ad14f0f 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -45,7 +45,6 @@ #include "ray/util/stream_redirection.h" #include "ray/util/stream_redirection_options.h" #include "ray/util/subreaper.h" -#include "ray/util/util.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/experimental_mutable_object_manager.cc b/src/ray/core_worker/experimental_mutable_object_manager.cc index 9b083e4830e7..ca551d97eb59 100644 --- a/src/ray/core_worker/experimental_mutable_object_manager.cc +++ b/src/ray/core_worker/experimental_mutable_object_manager.cc @@ -24,6 +24,7 @@ #include "absl/strings/str_format.h" #include "ray/common/ray_config.h" #include "ray/object_manager/common.h" +#include "ray/util/time.h" namespace ray { namespace experimental { diff --git a/src/ray/core_worker/object_recovery_manager.cc b/src/ray/core_worker/object_recovery_manager.cc index 1fd5669589c9..893fb4fabd6d 100644 --- a/src/ray/core_worker/object_recovery_manager.cc +++ b/src/ray/core_worker/object_recovery_manager.cc @@ -18,8 +18,6 @@ #include #include -#include "ray/util/util.h" - namespace ray { namespace core { diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 7dd0589e6e77..98da568c13b5 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -24,6 +24,7 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/util/time.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index d70717bc49f7..70693b8f2a19 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -27,7 +27,7 @@ #include "ray/core_worker/actor_manager.h" #include "ray/gcs/pb_util.h" #include "ray/util/exponential_backoff.h" -#include "ray/util/util.h" +#include "ray/util/time.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index abf81304b176..96b6769cc948 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -155,6 +155,7 @@ ray_cc_test( "//src/ray/core_worker:actor_creator", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/actor_creator_test.cc b/src/ray/core_worker/tests/actor_creator_test.cc index 9e50e896d151..4bb50d9a6004 100644 --- a/src/ray/core_worker/tests/actor_creator_test.cc +++ b/src/ray/core_worker/tests/actor_creator_test.cc @@ -20,6 +20,7 @@ #include "ray/core_worker/actor_creator.h" #include "ray/common/test_util.h" #include "ray/util/path_utils.h" +#include "ray/util/raii.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" // clang-format on diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 8ffa4b6639e9..eaaae3219fdd 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -11,6 +11,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:export_task_event_cc_proto", + "//src/ray/util:time", ], ) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index dc15ab29dfb5..52870712ee48 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -31,6 +31,7 @@ ray_cc_library( hdrs = ["global_state_accessor.h"], deps = [ ":gcs_client_lib", + "//src/ray/util:time", ], ) diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs/gcs_client/global_state_accessor.cc index 64d55d5876c1..89b3582150c1 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs/gcs_client/global_state_accessor.cc @@ -23,6 +23,7 @@ #include #include "ray/common/asio/instrumented_io_context.h" +#include "ray/util/time.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_client/tests/BUILD.bazel b/src/ray/gcs/gcs_client/tests/BUILD.bazel index cc428b88a513..57054315512a 100644 --- a/src/ray/gcs/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_client/tests/BUILD.bazel @@ -34,6 +34,8 @@ ray_cc_test( "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) @@ -62,6 +64,7 @@ ray_cc_test( "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) @@ -88,6 +91,8 @@ ray_cc_test( "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", + "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc index 409d16bbadaf..1669031fab25 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc @@ -29,7 +29,7 @@ #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" -#include "ray/util/util.h" +#include "ray/util/raii.h" using namespace std::chrono_literals; // NOLINT using namespace ray; // NOLINT diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc index 6df7b90bd2ab..7b68e37d1516 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc @@ -28,7 +28,7 @@ #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" -#include "ray/util/util.h" +#include "ray/util/raii.h" using namespace std::chrono_literals; // NOLINT diff --git a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc index f761cb5c90b9..3613d177f4dd 100644 --- a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc @@ -24,6 +24,7 @@ #include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" +#include "ray/util/raii.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index e698c17d75c2..9e482b9736bc 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -248,6 +248,7 @@ ray_cc_library( "//src/ray/util:network_util", "//src/ray/util:thread_checker", "//src/ray/util:throttler", + "//src/ray/util:time", "//src/ray/util:type_traits", "@boost//:bimap", "@com_google_absl//absl/container:btree", @@ -263,6 +264,7 @@ ray_cc_binary( deps = [ ":gcs_server_lib", "//src/ray/stats:stats_lib", + "//src/ray/util:raii", "//src/ray/util:stream_redirection", "//src/ray/util:stream_redirection_options", "@com_github_gflags_gflags//:gflags", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index a895bbb13ad0..626631f91dc1 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -25,6 +25,7 @@ #include "ray/common/ray_config.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" +#include "ray/util/time.h" namespace { /// The error message constructed from below methods is user-facing, so please avoid diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index 35b9c03dd146..746de6923558 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -23,6 +23,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/util/time.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 2c234c92d6ac..8a84b8a00c63 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -25,6 +25,7 @@ #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pb_util.h" #include "ray/util/string_utils.h" +#include "ray/util/time.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index a807da1d5ee6..e71c69bccedc 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -24,6 +24,7 @@ #include "absl/strings/match.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric.h" +#include "ray/util/time.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 15347e782001..bd14e119811a 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -25,6 +25,7 @@ #include "ray/gcs/pb_util.h" #include "ray/util/event.h" #include "ray/util/logging.h" +#include "ray/util/time.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index fd046856fc17..d5956a93609a 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -36,6 +36,7 @@ #include "ray/rpc/worker/core_worker_client.h" #include "ray/util/counter_map.h" #include "ray/util/exponential_backoff.h" +#include "ray/util/time.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 65402804ed86..90c61aa24da7 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -36,7 +36,6 @@ #include "ray/gcs/store_client/store_client.h" #include "ray/pubsub/publisher.h" #include "ray/util/network_util.h" -#include "ray/util/util.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 74c371cb4201..53f95d4f402a 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -24,9 +24,9 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/stats/stats.h" #include "ray/util/event.h" +#include "ray/util/raii.h" #include "ray/util/stream_redirection.h" #include "ray/util/stream_redirection_options.h" -#include "ray/util/util.h" #include "src/ray/protobuf/gcs_service.pb.h" DEFINE_string(redis_address, "", "The ip address of redis."); diff --git a/src/ray/gcs/pb_util.h b/src/ray/gcs/pb_util.h index 54b7315e504f..52f222ba443a 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/gcs/pb_util.h @@ -23,6 +23,7 @@ #include "ray/common/id.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" +#include "ray/util/time.h" #include "src/ray/protobuf/autoscaler.pb.h" #include "src/ray/protobuf/export_task_event.pb.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/store_client/BUILD.bazel b/src/ray/gcs/store_client/BUILD.bazel index 11bd87964695..4a2af91411b8 100644 --- a/src/ray/gcs/store_client/BUILD.bazel +++ b/src/ray/gcs/store_client/BUILD.bazel @@ -60,6 +60,5 @@ ray_cc_library( deps = [ ":store_client", "//src/ray/gcs:gcs_callback", - "//src/ray/util", ], ) diff --git a/src/ray/gcs/store_client/redis_context.cc b/src/ray/gcs/store_client/redis_context.cc index 541c5edf9cc6..7c40cab5a5ba 100644 --- a/src/ray/gcs/store_client/redis_context.cc +++ b/src/ray/gcs/store_client/redis_context.cc @@ -23,7 +23,6 @@ #include "ray/common/asio/asio_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/network_util.h" -#include "ray/util/util.h" extern "C" { #include "hiredis/async.h" diff --git a/src/ray/gcs/store_client/tests/BUILD.bazel b/src/ray/gcs/store_client/tests/BUILD.bazel index 571e081c1a6c..5e48c8ef39be 100644 --- a/src/ray/gcs/store_client/tests/BUILD.bazel +++ b/src/ray/gcs/store_client/tests/BUILD.bazel @@ -25,6 +25,9 @@ ray_cc_test( deps = [ ":store_client_test_lib", "//src/ray/gcs/store_client:redis_store_client", + "//src/ray/util:network_util", + "//src/ray/util:path_utils", + "//src/ray/util:raii", "@boost//:optional", "@com_google_googletest//:gtest_main", ], @@ -53,6 +56,9 @@ ray_cc_test( deps = [ ":store_client_test_lib", "//src/ray/gcs/store_client:redis_store_client", + "//src/ray/util:network_util", + "//src/ray/util:path_utils", + "//src/ray/util:raii", "@boost//:optional", "@com_google_googletest//:gtest_main", ], @@ -110,7 +116,7 @@ ray_cc_test( deps = [ "//src/ray/common:test_util", "//src/ray/gcs/store_client:redis_store_client", - "//src/ray/util", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/store_client/tests/redis_async_context_test.cc b/src/ray/gcs/store_client/tests/redis_async_context_test.cc index 94ebe207ee39..0bb967c55c84 100644 --- a/src/ray/gcs/store_client/tests/redis_async_context_test.cc +++ b/src/ray/gcs/store_client/tests/redis_async_context_test.cc @@ -24,6 +24,7 @@ #include "ray/gcs/store_client/redis_context.h" #include "ray/util/logging.h" #include "ray/util/path_utils.h" +#include "ray/util/raii.h" extern "C" { #include "hiredis/async.h" diff --git a/src/ray/gcs/store_client/tests/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc index e094f6c31cbc..0e3f0ea2a4c0 100644 --- a/src/ray/gcs/store_client/tests/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -24,7 +24,9 @@ #include "ray/common/test_util.h" #include "ray/gcs/store_client/tests/store_client_test_base.h" +#include "ray/util/network_util.h" #include "ray/util/path_utils.h" +#include "ray/util/raii.h" using namespace std::chrono_literals; // NOLINT namespace ray { diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/ipc/BUILD.bazel index 501206ad3693..38585313420b 100644 --- a/src/ray/ipc/BUILD.bazel +++ b/src/ray/ipc/BUILD.bazel @@ -56,5 +56,8 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:status", "//src/ray/flatbuffers:node_manager_generated", + "//src/ray/util:network_util", + "//src/ray/util:process", + "//src/ray/util:time", ], ) diff --git a/src/ray/ipc/client_connection.cc b/src/ray/ipc/client_connection.cc index 31b3df2c8b87..24de00f14c3f 100644 --- a/src/ray/ipc/client_connection.cc +++ b/src/ray/ipc/client_connection.cc @@ -30,8 +30,9 @@ #include "ray/common/event_stats.h" #include "ray/common/ray_config.h" +#include "ray/util/network_util.h" #include "ray/util/process.h" -#include "ray/util/util.h" +#include "ray/util/time.h" #if defined(_WIN32) #include diff --git a/src/ray/ipc/raylet_ipc_client.cc b/src/ray/ipc/raylet_ipc_client.cc index dc693d281978..0cb7b229af82 100644 --- a/src/ray/ipc/raylet_ipc_client.cc +++ b/src/ray/ipc/raylet_ipc_client.cc @@ -26,6 +26,7 @@ #include "ray/flatbuffers/node_manager_generated.h" #include "ray/ipc/client_connection.h" #include "ray/util/logging.h" +#include "ray/util/process.h" namespace { @@ -280,7 +281,20 @@ void RayletIpcClient::SubscribePlasmaReady(const ObjectID &object_id, } void ShutdownIfLocalRayletDisconnected(const Status &status) { - if (!status.ok() && IsRayletFailed(RayConfig::instance().RAYLET_PID())) { + // Check if the Raylet process is still alive. + // If we know the Raylet PID, check using that. + // Else, assume the Raylet is our parent process. + bool raylet_alive = true; + auto raylet_pid = RayConfig::instance().RAYLET_PID(); + if (!raylet_pid.empty()) { + if (!IsProcessAlive(static_cast(std::stoi(raylet_pid)))) { + raylet_alive = false; + } + } else if (!IsParentProcessAlive()) { + raylet_alive = false; + } + + if (!status.ok() && !raylet_alive) { RAY_LOG(WARNING) << "Exiting because the Raylet IPC connection failed and the local " "Raylet is dead. Status: " << status; diff --git a/src/ray/ipc/tests/BUILD.bazel b/src/ray/ipc/tests/BUILD.bazel index c6a7c9b76078..9a39013a51f9 100644 --- a/src/ray/ipc/tests/BUILD.bazel +++ b/src/ray/ipc/tests/BUILD.bazel @@ -9,6 +9,7 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/ipc:client_connection", + "//src/ray/util:network_util", "@boost//:asio", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/ipc/tests/client_connection_test.cc b/src/ray/ipc/tests/client_connection_test.cc index a287518daf73..3839ccf564d9 100644 --- a/src/ray/ipc/tests/client_connection_test.cc +++ b/src/ray/ipc/tests/client_connection_test.cc @@ -24,6 +24,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/util/network_util.h" namespace ray { namespace raylet { diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 55b27775f600..5ffc9b9081ed 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -110,6 +110,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "@com_google_absl//absl/strings", + "@com_google_absl//absl/time", ], ) diff --git a/src/ray/object_manager/common.cc b/src/ray/object_manager/common.cc index 349ffbd8881f..d7f205a96668 100644 --- a/src/ray/object_manager/common.cc +++ b/src/ray/object_manager/common.cc @@ -17,6 +17,8 @@ #include #include "absl/strings/str_cat.h" +#include "absl/time/clock.h" +#include "absl/time/time.h" #include "ray/common/ray_config.h" namespace ray { diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 29aea9b47cd6..e3c41627e1ec 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -44,7 +44,6 @@ ray_cc_library( "//src/ray/common:status_or", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:common_cc_proto", - "//src/ray/util", "//src/ray/util:compat", "//src/ray/util:visibility", "@com_google_absl//absl/container:flat_hash_map", @@ -108,7 +107,7 @@ ray_cc_library( "//src/ray/ipc:client_connection", "//src/ray/object_manager:object_manager_common", "//src/ray/stats:stats_metric", - "//src/ray/util", + "//src/ray/util:network_util", "@boost//:bind", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_set", @@ -286,6 +285,7 @@ ray_cc_library( "//src/ray/protobuf:common_cc_proto", "//src/ray/util:compat", "//src/ray/util:logging", + "//src/ray/util:process", "@com_github_google_flatbuffers//:flatbuffers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/object_manager/plasma/connection.cc b/src/ray/object_manager/plasma/connection.cc index b8c7549af91b..6ba8a102488c 100644 --- a/src/ray/object_manager/plasma/connection.cc +++ b/src/ray/object_manager/plasma/connection.cc @@ -25,6 +25,7 @@ #include "ray/object_manager/plasma/plasma_generated.h" #include "ray/object_manager/plasma/protocol.h" #include "ray/util/logging.h" +#include "ray/util/process.h" namespace plasma { diff --git a/src/ray/object_manager/plasma/create_request_queue.cc b/src/ray/object_manager/plasma/create_request_queue.cc index 3c9b9b55451c..9a9c0966a9c2 100644 --- a/src/ray/object_manager/plasma/create_request_queue.cc +++ b/src/ray/object_manager/plasma/create_request_queue.cc @@ -22,7 +22,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/object_manager/plasma/common.h" -#include "ray/util/util.h" namespace plasma { diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index d08fc2f8e427..790dbdf5b33a 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -50,7 +50,7 @@ #include "ray/object_manager/plasma/plasma_allocator.h" #include "ray/object_manager/plasma/protocol.h" #include "ray/stats/metric_defs.h" -#include "ray/util/util.h" +#include "ray/util/network_util.h" namespace ph = boost::placeholders; namespace fb = plasma::flatbuf; @@ -78,7 +78,7 @@ PlasmaStore::PlasmaStore(instrumented_io_context &main_service, ray::DeleteObjectCallback delete_object_callback) : io_context_(main_service), socket_name_(socket_name), - acceptor_(main_service, ParseUrlEndpoint(socket_name)), + acceptor_(main_service, ray::ParseUrlEndpoint(socket_name)), socket_(main_service), allocator_(allocator), fs_monitor_(fs_monitor), diff --git a/src/ray/object_manager/plasma/tests/BUILD.bazel b/src/ray/object_manager/plasma/tests/BUILD.bazel index 423cfac1a128..3b53f4011d06 100644 --- a/src/ray/object_manager/plasma/tests/BUILD.bazel +++ b/src/ray/object_manager/plasma/tests/BUILD.bazel @@ -5,6 +5,7 @@ ray_cc_test( srcs = ["fallback_allocator_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/common:id", "//src/ray/object_manager/plasma:plasma_allocator", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", diff --git a/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc b/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc index b947dfb6729b..addfabfee759 100644 --- a/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc +++ b/src/ray/object_manager/plasma/tests/fallback_allocator_test.cc @@ -27,7 +27,8 @@ namespace plasma { namespace { const int64_t kMB = 1024 * 1024; std::string CreateTestDir() { - path directory = std::filesystem::temp_directory_path() / GenerateUUIDV4(); + path directory = + std::filesystem::temp_directory_path() / ray::UniqueID::FromRandom().Hex(); create_directories(directory); return directory.string(); } diff --git a/src/ray/object_manager/plasma/tests/mutable_object_test.cc b/src/ray/object_manager/plasma/tests/mutable_object_test.cc index 327595f9214f..7fda37e2c6a7 100644 --- a/src/ray/object_manager/plasma/tests/mutable_object_test.cc +++ b/src/ray/object_manager/plasma/tests/mutable_object_test.cc @@ -15,6 +15,7 @@ #include #include #include +#include #include #include diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 6c3669449f46..e2601e02ba74 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -9,7 +9,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/util", "//src/ray/util:event", "//src/ray/util:logging", "//src/ray/util:process", @@ -63,7 +62,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/util", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", ], @@ -116,6 +114,7 @@ ray_cc_library( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", "//src/ray/util:network_util", + "//src/ray/util:time", "@boost//:system", "@com_google_absl//absl/strings", ], @@ -134,6 +133,8 @@ ray_cc_library( "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:runtime_env_agent_cc_proto", "//src/ray/util:logging", + "//src/ray/util:process", + "//src/ray/util:time", "@boost//:beast", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/strings:str_format", @@ -167,6 +168,7 @@ ray_cc_library( "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:core_worker_client", + "//src/ray/util:time", ], ) @@ -240,6 +242,7 @@ ray_cc_library( "//src/ray/util:container_util", "//src/ray/util:network_util", "//src/ray/util:throttler", + "//src/ray/util:time", "@boost//:system", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", @@ -261,6 +264,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/object_manager", "//src/ray/util:network_util", + "//src/ray/util:time", "@boost//:asio", ], ) @@ -285,8 +289,10 @@ ray_cc_binary( "//src/ray/util:cmd_line_utils", "//src/ray/util:event", "//src/ray/util:process", + "//src/ray/util:raii", "//src/ray/util:stream_redirection", "//src/ray/util:stream_redirection_options", + "//src/ray/util:time", "@com_github_gflags_gflags//:gflags", "@nlohmann_json", ], diff --git a/src/ray/raylet/agent_manager.cc b/src/ray/raylet/agent_manager.cc index ebf55761812a..26e142d824a1 100644 --- a/src/ray/raylet/agent_manager.cc +++ b/src/ray/raylet/agent_manager.cc @@ -23,7 +23,6 @@ #include "ray/util/logging.h" #include "ray/util/process.h" #include "ray/util/thread_utils.h" -#include "ray/util/util.h" namespace ray { namespace raylet { diff --git a/src/ray/raylet/agent_manager.h b/src/ray/raylet/agent_manager.h index 30fc60f024a2..a220bc515471 100644 --- a/src/ray/raylet/agent_manager.h +++ b/src/ray/raylet/agent_manager.h @@ -19,6 +19,7 @@ #include #include #include +#include #include #include diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 6530bd08653b..a7100a828c96 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -22,7 +22,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/stats/metric_defs.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index d26851bbb364..b04604eaa5b8 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -30,6 +30,7 @@ #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/util/time.h" namespace ray { diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 7e5f55839d95..04cfe875968c 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -38,9 +38,11 @@ #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" #include "ray/util/process.h" +#include "ray/util/raii.h" #include "ray/util/stream_redirection.h" #include "ray/util/stream_redirection_options.h" #include "ray/util/subreaper.h" +#include "ray/util/time.h" #include "scheduling/cluster_task_manager.h" using json = nlohmann::json; @@ -852,7 +854,7 @@ int main(int argc, char *argv[]) { drain_request->reason() == ray::rpc::autoscaler::DrainNodeReason::DRAIN_NODE_REASON_PREEMPTION && drain_request->deadline_timestamp_ms() != 0 && - drain_request->deadline_timestamp_ms() < current_sys_time_ms()) { + drain_request->deadline_timestamp_ms() < ray::current_sys_time_ms()) { node_death_info.set_reason(ray::rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED); node_death_info.set_reason_message(drain_request->reason_message()); } else { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index c87731497c26..684eb7c93daf 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -51,7 +51,8 @@ #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" #include "ray/util/network_util.h" -#include "ray/util/util.h" +#include "ray/util/string_utils.h" +#include "ray/util/time.h" namespace { @@ -343,7 +344,7 @@ void NodeManager::RegisterGcs() { [this] { std::stringstream debug_msg; debug_msg << DebugString() << "\n\n"; - RAY_LOG(INFO) << AppendToEachLine(debug_msg.str(), "[state-dump] "); + RAY_LOG(INFO) << PrependToEachLine(debug_msg.str(), "[state-dump] "); ReportWorkerOOMKillStats(); }, event_stats_print_interval_ms, diff --git a/src/ray/raylet/placement_group_resource_manager.h b/src/ray/raylet/placement_group_resource_manager.h index 4439bf17c392..76dc72e5a244 100644 --- a/src/ray/raylet/placement_group_resource_manager.h +++ b/src/ray/raylet/placement_group_resource_manager.h @@ -24,7 +24,6 @@ #include "ray/common/placement_group.h" #include "ray/common/scheduling/resource_set.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index 0079aa73b7a4..27a1c8c1a04b 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -29,7 +29,7 @@ #include "ray/object_manager/object_manager.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/util/network_util.h" -#include "ray/util/util.h" +#include "ray/util/time.h" namespace { diff --git a/src/ray/raylet/runtime_env_agent_client.cc b/src/ray/raylet/runtime_env_agent_client.cc index 28d090f57965..4934f3da36cb 100644 --- a/src/ray/raylet/runtime_env_agent_client.cc +++ b/src/ray/raylet/runtime_env_agent_client.cc @@ -29,6 +29,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" #include "ray/util/logging.h" +#include "ray/util/process.h" +#include "ray/util/time.h" #include "src/ray/protobuf/runtime_env_agent.pb.h" namespace beast = boost::beast; // from diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 71350f2d30ad..d85e2e164fea 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -33,6 +33,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/raylet:worker_pool", "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index af7df9dcd114..490619ebfa4b 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -34,6 +34,7 @@ #include "ray/raylet/runtime_env_agent_client.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" +#include "ray/util/raii.h" #include "src/ray/protobuf/runtime_env_agent.pb.h" using json = nlohmann::json; diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 76335cf95924..182070e8777b 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -36,7 +36,7 @@ #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" -#include "ray/util/util.h" +#include "ray/util/time.h" DEFINE_stats(worker_register_time_ms, "end to end latency of register a worker process.", diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/rpc/node_manager/raylet_client_pool.cc index 013a69055eae..8c85a8457bb9 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/rpc/node_manager/raylet_client_pool.cc @@ -18,8 +18,6 @@ #include #include -#include "ray/util/util.h" - namespace ray { namespace rpc { diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 3187c1043ca6..cdabcc11f1d7 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -15,7 +15,6 @@ ray_cc_library( deps = [ "//src/ray/common:ray_config", "//src/ray/observability:open_telemetry_metric_recorder", - "//src/ray/util", "//src/ray/util:logging", "//src/ray/util:size_literals", "@com_github_jupp0r_prometheus_cpp//pull", diff --git a/src/ray/stats/metric_exporter.h b/src/ray/stats/metric_exporter.h index a2f00914a620..b05444cf6370 100644 --- a/src/ray/stats/metric_exporter.h +++ b/src/ray/stats/metric_exporter.h @@ -24,7 +24,6 @@ #include "ray/rpc/metrics_agent_client.h" #include "ray/stats/metric.h" #include "ray/util/logging.h" -#include "ray/util/util.h" namespace ray { namespace stats { diff --git a/src/ray/util/BUILD.bazel b/src/ray/util/BUILD.bazel index 938a46b0b8d1..749c95438b70 100644 --- a/src/ray/util/BUILD.bazel +++ b/src/ray/util/BUILD.bazel @@ -112,6 +112,8 @@ ray_cc_library( deps = [ ":logging", ":mutex_protected", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", ], ) @@ -123,7 +125,7 @@ ray_cc_library( ":logging", ":random", ":string_utils", - ":timestamp_utils", + ":time", "//src/ray/protobuf:event_cc_proto", "//src/ray/protobuf:export_event_cc_proto", "@boost//:asio", @@ -145,8 +147,9 @@ ray_cc_library( ) ray_cc_library( - name = "timestamp_utils", - hdrs = ["timestamp_utils.h"], + name = "time", + srcs = ["time.cc"], + hdrs = ["time.h"], ) ray_cc_library( @@ -219,26 +222,19 @@ ray_cc_library( srcs = ["network_util.cc"], hdrs = ["network_util.h"], deps = [ + ":filesystem", + ":string_utils", "@boost//:asio", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/strings", "@com_google_absl//absl/strings:str_format", ], ) -# TODO(hjiang): Split URL related functions into a separate util target. ray_cc_library( - name = "util", - srcs = ["util.cc"], - hdrs = ["util.h"], - deps = [ - ":filesystem", - ":logging", - ":macros", - ":process", - ":string_utils", - "//src/ray/thirdparty:sha256", - "@boost//:asio", - "@com_google_absl//absl/container:flat_hash_map", - ], + name = "raii", + hdrs = ["raii.h"], + deps = [], ) ray_cc_library( @@ -261,8 +257,8 @@ ray_cc_library( name = "shared_lru", hdrs = ["shared_lru.h"], deps = [ + ":logging", ":map_utils", - ":util", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -288,16 +284,19 @@ ray_cc_library( hdrs = ["pipe_logger.h"], deps = [ ":compat", + ":logging", ":spdlog_fd_sink", ":spdlog_newliner_sink", ":stream_redirection_options", ":thread_utils", - ":util", "//src/ray/common:ray_config", + "//src/ray/common:status", "@boost//:iostreams", "@com_github_spdlog//:spdlog", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/strings", + "@com_google_absl//absl/strings:str_format", + "@com_google_absl//absl/synchronization", ], ) @@ -309,9 +308,8 @@ ray_cc_library( ":pipe_logger", ":scoped_dup2_wrapper", ":stream_redirection_options", - ":util", "//src/ray/util/internal:stream_redirection_handle", - "@com_google_absl//absl/container:inlined_vector", + "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -320,7 +318,7 @@ ray_cc_library( hdrs = ["spdlog_fd_sink.h"], deps = [ ":compat", - ":util", + "//src/ray/common:status", "@com_github_spdlog//:spdlog", ], ) @@ -330,7 +328,6 @@ ray_cc_library( hdrs = ["spdlog_newliner_sink.h"], deps = [ ":compat", - ":util", "@com_github_spdlog//:spdlog", ], ) @@ -340,7 +337,7 @@ ray_cc_library( srcs = ["temporary_directory.cc"], hdrs = ["temporary_directory.h"], deps = [ - ":util", + "//src/ray/common:id", "@com_google_absl//absl/strings:str_format", ], ) diff --git a/src/ray/util/event.cc b/src/ray/util/event.cc index e704c8684738..bcb4422c6502 100644 --- a/src/ray/util/event.cc +++ b/src/ray/util/event.cc @@ -25,7 +25,7 @@ #include "ray/util/random.h" #include "ray/util/string_utils.h" -#include "ray/util/timestamp_utils.h" +#include "ray/util/time.h" using json = nlohmann::json; diff --git a/src/ray/util/internal/tests/BUILD.bazel b/src/ray/util/internal/tests/BUILD.bazel index 59c88140efc6..a3de8e2dddf9 100644 --- a/src/ray/util/internal/tests/BUILD.bazel +++ b/src/ray/util/internal/tests/BUILD.bazel @@ -12,9 +12,11 @@ ray_cc_test( "no_tsan", ], deps = [ + "//src/ray/common:id", "//src/ray/common/tests:testing", - "//src/ray/util", + "//src/ray/util:filesystem", "//src/ray/util/internal:stream_redirection_handle", + "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/util/internal/tests/stream_redirection_handle_test.cc b/src/ray/util/internal/tests/stream_redirection_handle_test.cc index fd963af8d1c1..d47ce0d5296e 100644 --- a/src/ray/util/internal/tests/stream_redirection_handle_test.cc +++ b/src/ray/util/internal/tests/stream_redirection_handle_test.cc @@ -22,14 +22,17 @@ #include #include +#include "absl/strings/str_format.h" +#include "ray/common/id.h" #include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" -#include "ray/util/util.h" namespace ray::internal { namespace { +inline std::string RandomID() { return UniqueID::FromRandom().Hex(); } + // Output logging files to cleanup at process termination. std::vector log_files; void CleanupOutputLogFiles() { @@ -54,7 +57,7 @@ TEST(LoggingUtilTest, WriteContentWithNewliner) { constexpr std::string_view kLogLine1 = "hello\n"; constexpr std::string_view kLogLine2 = "world\n"; - const std::string test_file_path = absl::StrFormat("%s.err", GenerateUUIDV4()); + const std::string test_file_path = absl::StrFormat("%s.err", RandomID()); const std::string log_file_path1 = test_file_path; const std::string log_file_path2 = absl::StrFormat("%s.1", test_file_path); log_files.emplace_back(log_file_path1); @@ -100,7 +103,7 @@ TEST(LoggingUtilTest, WriteContentWithFlush) { constexpr std::string_view kLogLine1 = "hello"; constexpr std::string_view kLogLine2 = "world"; - const std::string test_file_path = absl::StrFormat("%s.err", GenerateUUIDV4()); + const std::string test_file_path = absl::StrFormat("%s.err", RandomID()); const std::string log_file_path1 = test_file_path; const std::string log_file_path2 = absl::StrFormat("%s.1", test_file_path); log_files.emplace_back(log_file_path1); diff --git a/src/ray/util/network_util.cc b/src/ray/util/network_util.cc index 1a3c8a9c65af..2364a42265c4 100644 --- a/src/ray/util/network_util.cc +++ b/src/ray/util/network_util.cc @@ -16,11 +16,22 @@ #include #include +#include +#ifndef _WIN32 +#include +#endif +#include +#include #include #include +#include +#include "absl/strings/match.h" #include "absl/strings/str_format.h" +#include "ray/util/filesystem.h" +#include "ray/util/string_utils.h" +using boost::asio::io_context; using boost::asio::ip::tcp; namespace ray { @@ -62,7 +73,7 @@ std::optional> ParseAddress(const std::string &addres } bool CheckPortFree(int port) { - boost::asio::io_context io_service; + io_context io_service; tcp::socket socket(io_service); socket.open(tcp::v4()); boost::system::error_code ec; @@ -71,4 +82,125 @@ bool CheckPortFree(int port) { return !ec.failed(); } +std::string EndpointToUrl( + const boost::asio::generic::basic_endpoint &ep, + bool include_scheme) { + std::string result, scheme; + switch (ep.protocol().family()) { + case AF_INET: { + scheme = "tcp://"; + tcp::endpoint e(tcp::v4(), 0); + RAY_CHECK_EQ(e.size(), ep.size()); + const sockaddr *src = ep.data(); + sockaddr *dst = e.data(); + *reinterpret_cast(dst) = *reinterpret_cast(src); + std::ostringstream ss; + ss << e; + result = ss.str(); + break; + } + case AF_INET6: { + scheme = "tcp://"; + tcp::endpoint e(tcp::v6(), 0); + RAY_CHECK_EQ(e.size(), ep.size()); + const sockaddr *src = ep.data(); + sockaddr *dst = e.data(); + *reinterpret_cast(dst) = *reinterpret_cast(src); + std::ostringstream ss; + ss << e; + result = ss.str(); + break; + } +#if defined(BOOST_ASIO_HAS_LOCAL_SOCKETS) && !defined(_WIN32) + case AF_UNIX: + scheme = "unix://"; + result.append(reinterpret_cast(ep.data())->sun_path, + ep.size() - offsetof(sockaddr_un, sun_path)); + break; +#endif + default: + RAY_LOG(FATAL) << "unsupported protocol family: " << ep.protocol().family(); + break; + } + if (include_scheme) { + result.insert(0, scheme); + } + return result; +} + +boost::asio::generic::basic_endpoint +ParseUrlEndpoint(const std::string &endpoint, int default_port) { + // Syntax reference: https://en.wikipedia.org/wiki/URL#Syntax + // Note that we're a bit more flexible, to allow parsing "127.0.0.1" as a URL. + boost::asio::generic::stream_protocol::endpoint result; + std::string address = endpoint, scheme; + if (absl::StartsWith(address, "unix://")) { + scheme = "unix://"; + address.erase(0, scheme.size()); + } else if (!address.empty() && ray::IsDirSep(address[0])) { + scheme = "unix://"; + } else if (absl::StartsWith(address, "tcp://")) { + scheme = "tcp://"; + address.erase(0, scheme.size()); + } else { + scheme = "tcp://"; + } + if (scheme == "unix://") { +#if defined(BOOST_ASIO_HAS_LOCAL_SOCKETS) && !defined(_WIN32) + size_t maxlen = sizeof(sockaddr_un().sun_path) / sizeof(*sockaddr_un().sun_path) - 1; + RAY_CHECK(address.size() <= maxlen) + << "AF_UNIX path length cannot exceed " << maxlen << " bytes: " << address; + result = boost::asio::local::stream_protocol::endpoint(address); +#else + RAY_LOG(FATAL) << "UNIX-domain socket endpoints are not supported: " << endpoint; +#endif + } else if (scheme == "tcp://") { + std::string::const_iterator i = address.begin(); + std::string host = ScanToken(i, "[%*[^][/]]"); + host = host.empty() ? ScanToken(i, "%*[^/:]") : host.substr(1, host.size() - 2); + std::string port_str = ScanToken(i, ":%*d"); + int port = port_str.empty() ? default_port : std::stoi(port_str.substr(1)); + result = tcp::endpoint(boost::asio::ip::make_address(host), port); + } else { + RAY_LOG(FATAL) << "Unable to parse socket endpoint: " << endpoint; + } + return result; +} + +std::shared_ptr> ParseURL(std::string url) { + auto result = std::make_shared>(); + std::string delimiter = "?"; + size_t pos = 0; + pos = url.find(delimiter); + if (pos == std::string::npos) { + return result; + } + + const std::string base_url = url.substr(0, pos); + result->emplace("url", base_url); + url.erase(0, pos + delimiter.length()); + const std::string query_delimeter = "&"; + + auto parse_key_value_with_equal_delimter = + [](std::string_view key_value) -> std::pair { + // Parse the query key value pair. + const std::string key_value_delimter = "="; + size_t key_value_pos = key_value.find(key_value_delimter); + std::string_view key = key_value.substr(0, key_value_pos); + return std::make_pair(key, key_value.substr(key.size() + 1)); + }; + + while ((pos = url.find(query_delimeter)) != std::string::npos) { + std::string_view token = std::string_view{url}.substr(0, pos); + auto key_value_pair = parse_key_value_with_equal_delimter(token); + result->emplace(std::string(key_value_pair.first), + std::string(key_value_pair.second)); + url.erase(0, pos + delimiter.length()); + } + std::string_view token = std::string_view{url}.substr(0, pos); + auto key_value_pair = parse_key_value_with_equal_delimter(token); + result->emplace(std::string(key_value_pair.first), std::string(key_value_pair.second)); + return result; +} + } // namespace ray diff --git a/src/ray/util/network_util.h b/src/ray/util/network_util.h index 5ca3b48bde45..c10a062b6089 100644 --- a/src/ray/util/network_util.h +++ b/src/ray/util/network_util.h @@ -15,9 +15,21 @@ #pragma once #include +#include #include #include +#include "absl/container/flat_hash_map.h" + +// Boost forward-declarations (to avoid forcing slow header inclusions) +namespace boost::asio::generic { + +template +class basic_endpoint; +class stream_protocol; + +} // namespace boost::asio::generic + namespace ray { /// Build a network address string from host and port. @@ -43,4 +55,28 @@ std::optional> ParseAddress(const std::string &addres /// \return true if the port is available, false otherwise. bool CheckPortFree(int port); +/// Converts the given endpoint (such as TCP or UNIX domain socket address) to a string. +/// \param include_scheme Whether to include the scheme prefix (such as tcp://). +/// This is recommended to avoid later ambiguity when parsing. +std::string EndpointToUrl( + const boost::asio::generic::basic_endpoint &ep, + bool include_scheme = true); + +/// Parses the endpoint socket address of a URL. +/// If a scheme:// prefix is absent, the address family is guessed automatically. +/// For TCP/IP, the endpoint comprises the IP address and port number in the URL. +/// For UNIX domain sockets, the endpoint comprises the socket path. +boost::asio::generic::basic_endpoint +ParseUrlEndpoint(const std::string &endpoint, int default_port = 0); + +/// Parse the url and return a pair of base_url and query string map. +/// EX) http://abc?num_objects=9&offset=8388878 +/// will be returned as +/// { +/// url: http://abc, +/// num_objects: 9, +/// offset: 8388878 +/// } +std::shared_ptr> ParseURL(std::string url); + } // namespace ray diff --git a/src/ray/util/pipe_logger.cc b/src/ray/util/pipe_logger.cc index d16a6589d666..a440dffada3f 100644 --- a/src/ray/util/pipe_logger.cc +++ b/src/ray/util/pipe_logger.cc @@ -30,7 +30,9 @@ #include #include "absl/container/inlined_vector.h" +#include "absl/strings/str_format.h" #include "absl/strings/str_split.h" +#include "absl/synchronization/mutex.h" #include "ray/common/ray_config.h" #include "ray/util/spdlog_fd_sink.h" #include "ray/util/spdlog_newliner_sink.h" diff --git a/src/ray/util/pipe_logger.h b/src/ray/util/pipe_logger.h index 538b925fbdaf..9715403528a1 100644 --- a/src/ray/util/pipe_logger.h +++ b/src/ray/util/pipe_logger.h @@ -25,9 +25,9 @@ #include #include +#include "ray/common/status.h" #include "ray/util/compat.h" #include "ray/util/stream_redirection_options.h" -#include "ray/util/util.h" #include "spdlog/logger.h" namespace ray { diff --git a/src/ray/util/process.cc b/src/ray/util/process.cc index 3412b2d5f902..b1bb78ee77cd 100644 --- a/src/ray/util/process.cc +++ b/src/ray/util/process.cc @@ -767,6 +767,11 @@ std::optional> GetAllProcsWithPpid(pid_t parent_pid) { #endif } +void QuickExit() { + ray::RayLog::ShutDownRayLog(); + _Exit(1); +} + } // namespace ray namespace std { diff --git a/src/ray/util/process.h b/src/ray/util/process.h index b0773811e50a..e222a6f7bfcb 100644 --- a/src/ray/util/process.h +++ b/src/ray/util/process.h @@ -31,6 +31,7 @@ #include #include "ray/util/compat.h" +#include "ray/util/logging.h" #ifndef PID_MAX_LIMIT // This is defined by Linux to be the maximum allowable number of processes @@ -156,6 +157,9 @@ std::optional KillProc(pid_t pid); // Currently only supported on Linux. Returns nullopt on other platforms. std::optional> GetAllProcsWithPpid(pid_t parent_pid); +/// Terminate the process without cleaning up the resources. +void QuickExit(); + } // namespace ray // We only define operators required by the standard library (==, hash): diff --git a/src/ray/util/raii.h b/src/ray/util/raii.h new file mode 100644 index 000000000000..c9baf921e5cd --- /dev/null +++ b/src/ray/util/raii.h @@ -0,0 +1,43 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +class InitShutdownRAII { + public: + /// Type of the Shutdown function. + using ShutdownFunc = void (*)(); + + /// Create an instance of InitShutdownRAII which will call shutdown + /// function when it is out of scope. + /// + /// \param init_func The init function. + /// \param shutdown_func The shutdown function. + /// \param args The arguments for the init function. + template + InitShutdownRAII(InitFunc init_func, ShutdownFunc shutdown_func, Args &&...args) + : shutdown_(shutdown_func) { + init_func(args...); + } + + /// Destructor of InitShutdownRAII which will call the shutdown function. + ~InitShutdownRAII() { + if (shutdown_ != nullptr) { + shutdown_(); + } + } + + private: + ShutdownFunc shutdown_; +}; diff --git a/src/ray/util/spdlog_fd_sink.h b/src/ray/util/spdlog_fd_sink.h index c307b85e2b4d..9dd0249512e7 100644 --- a/src/ray/util/spdlog_fd_sink.h +++ b/src/ray/util/spdlog_fd_sink.h @@ -16,8 +16,8 @@ #include +#include "ray/common/status.h" #include "ray/util/compat.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/util/spdlog_newliner_sink.h b/src/ray/util/spdlog_newliner_sink.h index 11aa5234bc26..9a8570743d10 100644 --- a/src/ray/util/spdlog_newliner_sink.h +++ b/src/ray/util/spdlog_newliner_sink.h @@ -24,7 +24,6 @@ #include "absl/strings/str_split.h" #include "ray/util/compat.h" -#include "ray/util/util.h" namespace ray { diff --git a/src/ray/util/stream_redirection.cc b/src/ray/util/stream_redirection.cc index b806196079b4..04d3b5c54623 100644 --- a/src/ray/util/stream_redirection.cc +++ b/src/ray/util/stream_redirection.cc @@ -23,18 +23,14 @@ #include #include -#include "absl/container/inlined_vector.h" +#include "absl/container/flat_hash_map.h" #include "ray/util/compat.h" #include "ray/util/internal/stream_redirection_handle.h" -#include "ray/util/util.h" namespace ray { namespace { -// TODO(hjiang): Revisit later, should be able to save some heap allocation with -// absl::InlinedVector. -// // Maps from original stream file fd (i.e. stdout/stderr) to its stream redirector. absl::flat_hash_map redirection_file_handles; diff --git a/src/ray/util/string_utils.cc b/src/ray/util/string_utils.cc index ffd03b7065fc..b042cb058075 100644 --- a/src/ray/util/string_utils.cc +++ b/src/ray/util/string_utils.cc @@ -40,4 +40,17 @@ std::string ScanToken(std::string::const_iterator &c_str, std::string format) { } return result; } + +std::string PrependToEachLine(const std::string &str, const std::string &prefix) { + std::stringstream ss; + ss << prefix; + for (char c : str) { + ss << c; + if (c == '\n') { + ss << prefix; + } + } + return ss.str(); +} + } // namespace ray diff --git a/src/ray/util/string_utils.h b/src/ray/util/string_utils.h index db1b9279a71a..557176bdb6da 100644 --- a/src/ray/util/string_utils.h +++ b/src/ray/util/string_utils.h @@ -98,4 +98,7 @@ StatusOr StringToInt(const std::string &input) noexcept { return StatusOr(value); } +// Prepend the prefix to each line of str. +std::string PrependToEachLine(const std::string &str, const std::string &prefix); + } // namespace ray diff --git a/src/ray/util/temporary_directory.cc b/src/ray/util/temporary_directory.cc index a6803e8ea365..1b3cc40780e0 100644 --- a/src/ray/util/temporary_directory.cc +++ b/src/ray/util/temporary_directory.cc @@ -17,7 +17,7 @@ #include #include -#include "ray/util/util.h" +#include "ray/common/id.h" namespace ray { @@ -25,7 +25,7 @@ ScopedTemporaryDirectory::ScopedTemporaryDirectory(const std::string &dir) { temporary_directory_ = dir.empty() ? std::filesystem::temp_directory_path() : std::filesystem::path{dir}; // Manually generate a directory name by appending UUID. - temporary_directory_ = temporary_directory_ / GenerateUUIDV4(); + temporary_directory_ = temporary_directory_ / UniqueID::FromRandom().Hex(); RAY_CHECK(std::filesystem::create_directory(temporary_directory_)); } ScopedTemporaryDirectory::~ScopedTemporaryDirectory() { diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index f9d38609354c..20c5edd2f103 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -5,7 +5,6 @@ ray_cc_test( srcs = ["array_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:array", "@com_google_googletest//:gtest_main", ], @@ -16,7 +15,6 @@ ray_cc_test( srcs = ["function_traits_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:function_traits", "@com_google_googletest//:gtest_main", ], @@ -40,7 +38,6 @@ ray_cc_test( linkstatic = True, tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -54,7 +51,6 @@ ray_cc_test( srcs = ["counter_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -72,7 +68,6 @@ ray_cc_test( deps = [ "//src/ray/common:ray_config", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/util", "//src/ray/util:event", "//src/ray/util:path_utils", "@boost//:range", @@ -86,7 +81,6 @@ ray_cc_test( srcs = ["exponential_backoff_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:exponential_backoff", "@com_google_googletest//:gtest_main", ], @@ -120,9 +114,10 @@ ray_cc_test( ], deps = [ "//src/ray/common:status", - "//src/ray/util", "//src/ray/util:env", + "//src/ray/util:filesystem", "//src/ray/util:path_utils", + "//src/ray/util:time", "@boost//:asio", "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", @@ -147,7 +142,7 @@ ray_cc_test( srcs = ["sequencer_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", + "//src/ray/util:logging", "//src/ray/util:sequencer", "@com_google_googletest//:gtest_main", ], @@ -159,9 +154,9 @@ ray_cc_test( srcs = ["signal_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:logging", "//src/ray/util:path_utils", + "//src/ray/util:raii", "@com_google_googletest//:gtest_main", ], ) @@ -172,7 +167,6 @@ ray_cc_test( srcs = ["throttler_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", "//src/ray/util:throttler", "@com_google_absl//absl/time", "@com_google_googletest//:gtest_main", @@ -180,13 +174,12 @@ ray_cc_test( ) ray_cc_test( - name = "util_test", + name = "process_test", size = "small", - srcs = ["util_test.cc"], + srcs = ["process_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/util", - "@boost//:asio", + "//src/ray/util:process", "@boost//:process", "@com_google_googletest//:gtest_main", ], @@ -254,11 +247,13 @@ ray_cc_test( srcs = ["pipe_logger_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/common:id", "//src/ray/common/tests:testing", - "//src/ray/util", + "//src/ray/util:filesystem", "//src/ray/util:pipe_logger", "//src/ray/util:scoped_env_setter", "//src/ray/util:temporary_directory", + "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], ) @@ -276,9 +271,11 @@ ray_cc_test( "no_tsan", ], deps = [ + "//src/ray/common:id", "//src/ray/common/tests:testing", - "//src/ray/util", + "//src/ray/util:filesystem", "//src/ray/util:stream_redirection", + "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], ) @@ -312,11 +309,13 @@ ray_cc_test( srcs = ["spdlog_newliner_sink_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/common:id", "//src/ray/common/tests:testing", "//src/ray/util:filesystem", "//src/ray/util:spdlog_fd_sink", "//src/ray/util:spdlog_newliner_sink", "//src/ray/util:temporary_directory", + "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], ) @@ -349,10 +348,11 @@ ray_cc_test( srcs = ["process_cleanup_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/common:id", "//src/ray/common/tests:testing", - "//src/ray/util", "//src/ray/util:filesystem", "//src/ray/util:process_cleaner", + "@com_google_absl//absl/strings:str_format", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/util/tests/logging_test.cc b/src/ray/util/tests/logging_test.cc index bd320bd98f7f..ab82497afccf 100644 --- a/src/ray/util/tests/logging_test.cc +++ b/src/ray/util/tests/logging_test.cc @@ -30,7 +30,7 @@ #include "ray/util/env.h" #include "ray/util/filesystem.h" #include "ray/util/path_utils.h" -#include "ray/util/util.h" +#include "ray/util/time.h" using namespace testing; // NOLINT using json = nlohmann::json; diff --git a/src/ray/util/tests/network_util_test.cc b/src/ray/util/tests/network_util_test.cc index f1033a574fb4..f8d18fee804f 100644 --- a/src/ray/util/tests/network_util_test.cc +++ b/src/ray/util/tests/network_util_test.cc @@ -14,6 +14,11 @@ #include "ray/util/network_util.h" +#include +#include +#include +#include + #include "gtest/gtest.h" namespace ray { @@ -74,4 +79,38 @@ TEST(NetworkUtilTest, TestParseAddress) { ASSERT_FALSE(result.has_value()); } +TEST(NetworkUtilTest, UrlIpTcpParseTest) { + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://[::1]:1/", 0), false), "[::1]:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://[::1]/", 0), false), "[::1]:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://[::1]:1", 0), false), "[::1]:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://[::1]", 0), false), "[::1]:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://127.0.0.1:1/", 0), false), + "127.0.0.1:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://127.0.0.1/", 0), false), "127.0.0.1:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://127.0.0.1:1", 0), false), + "127.0.0.1:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("tcp://127.0.0.1", 0), false), "127.0.0.1:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("[::1]:1/", 0), false), "[::1]:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("[::1]/", 0), false), "[::1]:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("[::1]:1", 0), false), "[::1]:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("[::1]", 0), false), "[::1]:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("127.0.0.1:1/", 0), false), "127.0.0.1:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("127.0.0.1/", 0), false), "127.0.0.1:0"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("127.0.0.1:1", 0), false), "127.0.0.1:1"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("127.0.0.1", 0), false), "127.0.0.1:0"); +#ifndef _WIN32 + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("unix:///tmp/sock"), false), "/tmp/sock"); + ASSERT_EQ(EndpointToUrl(ParseUrlEndpoint("/tmp/sock"), false), "/tmp/sock"); +#endif +} + +TEST(NetworkUtilTest, ParseURLTest) { + const std::string url = "http://abc?num_objects=9&offset=8388878&size=8388878"; + auto parsed_url = *ParseURL(url); + ASSERT_EQ(parsed_url["url"], "http://abc"); + ASSERT_EQ(parsed_url["num_objects"], "9"); + ASSERT_EQ(parsed_url["offset"], "8388878"); + ASSERT_EQ(parsed_url["size"], "8388878"); +} + } // namespace ray diff --git a/src/ray/util/tests/pipe_logger_test.cc b/src/ray/util/tests/pipe_logger_test.cc index d6749e6ee545..40b80894f035 100644 --- a/src/ray/util/tests/pipe_logger_test.cc +++ b/src/ray/util/tests/pipe_logger_test.cc @@ -23,16 +23,19 @@ #include #include +#include "absl/strings/str_format.h" +#include "ray/common/id.h" #include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/scoped_env_setter.h" #include "ray/util/temporary_directory.h" -#include "ray/util/util.h" namespace ray { namespace { +inline std::string RandomID() { return UniqueID::FromRandom().Hex(); } + constexpr std::string_view kLogLine1 = "hello\n"; constexpr std::string_view kLogLine2 = "world\n"; @@ -43,7 +46,7 @@ TEST_P(PipeLoggerTest, RedirectionTest) { ScopedEnvSetter scoped_env_setter{"RAY_pipe_logger_read_buf_size", pipe_buffer_size.data()}; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); // Take the default option, which doesn't have rotation enabled. StreamRedirectionOption stream_redirection_opt{}; @@ -65,7 +68,7 @@ TEST_P(PipeLoggerTest, RedirectionWithTee) { ScopedEnvSetter scoped_env_setter{"RAY_pipe_logger_read_buf_size", pipe_buffer_size.data()}; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption stream_redirection_opt{}; stream_redirection_opt.file_path = test_file_path.string(); @@ -94,7 +97,7 @@ TEST_P(PipeLoggerTest, RotatedRedirectionWithTee) { ScopedEnvSetter scoped_env_setter{"RAY_pipe_logger_read_buf_size", pipe_buffer_size.data()}; ScopedTemporaryDirectory scoped_directory; - const auto uuid = GenerateUUIDV4(); + const auto uuid = RandomID(); const auto test_file_path = scoped_directory.GetDirectory() / uuid; const auto log_file_path1 = test_file_path; const auto log_file_path2 = @@ -139,7 +142,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -165,7 +168,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello\n"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -190,7 +193,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello\nworld"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -216,7 +219,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello\nworld\n"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -241,7 +244,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "helloworld\n\n\n"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -266,7 +269,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello\n\n\nworld"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); @@ -292,7 +295,7 @@ TEST_P(PipeLoggerTest, CompatibilityTest) { { constexpr std::string_view kContent = "hello\n\nworld\n\n"; ScopedTemporaryDirectory scoped_directory; - const auto test_file_path = scoped_directory.GetDirectory() / GenerateUUIDV4(); + const auto test_file_path = scoped_directory.GetDirectory() / RandomID(); StreamRedirectionOption logging_option{}; logging_option.file_path = test_file_path.string(); diff --git a/src/ray/util/tests/process_cleanup_test.cc b/src/ray/util/tests/process_cleanup_test.cc index 6e9f07652f20..bf3c1fdb2370 100644 --- a/src/ray/util/tests/process_cleanup_test.cc +++ b/src/ray/util/tests/process_cleanup_test.cc @@ -23,10 +23,11 @@ #include #include +#include "absl/strings/str_format.h" +#include "ray/common/id.h" #include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/process_cleaner.h" -#include "ray/util/util.h" namespace ray { @@ -34,7 +35,7 @@ namespace { TEST(ProcessCleanerTest, BasicTest) { const std::string kTestFname = - absl::StrFormat("/tmp/process_cleanup_%s", GenerateUUIDV4()); + absl::StrFormat("/tmp/process_cleanup_%s", UniqueID::FromRandom().Hex()); auto test_func = [fname = kTestFname]() { std::fstream f{fname, std::ios::app | std::ios::out}; f << "helloworld"; diff --git a/src/ray/util/tests/util_test.cc b/src/ray/util/tests/process_test.cc similarity index 52% rename from src/ray/util/tests/util_test.cc rename to src/ray/util/tests/process_test.cc index b32e0cc3dfa9..f58e25679748 100644 --- a/src/ray/util/tests/util_test.cc +++ b/src/ray/util/tests/process_test.cc @@ -12,62 +12,21 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/util/util.h" +#include "ray/util/process.h" + +#include +#include -#include #include #include #include -#include #include #include -#include "gmock/gmock.h" -#include "gtest/gtest.h" #include "ray/util/logging.h" -#include "ray/util/process.h" - -using namespace std::chrono_literals; // NOLINT namespace ray { -template -static std::string to_str(const T &obj, bool include_scheme) { - return EndpointToUrl(obj, include_scheme); -} - -TEST(UtilTest, UrlIpTcpParseTest) { - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://[::1]:1/", 0), false), "[::1]:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://[::1]/", 0), false), "[::1]:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://[::1]:1", 0), false), "[::1]:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://[::1]", 0), false), "[::1]:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://127.0.0.1:1/", 0), false), "127.0.0.1:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://127.0.0.1/", 0), false), "127.0.0.1:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://127.0.0.1:1", 0), false), "127.0.0.1:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("tcp://127.0.0.1", 0), false), "127.0.0.1:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("[::1]:1/", 0), false), "[::1]:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("[::1]/", 0), false), "[::1]:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("[::1]:1", 0), false), "[::1]:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("[::1]", 0), false), "[::1]:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("127.0.0.1:1/", 0), false), "127.0.0.1:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("127.0.0.1/", 0), false), "127.0.0.1:0"); - ASSERT_EQ(to_str(ParseUrlEndpoint("127.0.0.1:1", 0), false), "127.0.0.1:1"); - ASSERT_EQ(to_str(ParseUrlEndpoint("127.0.0.1", 0), false), "127.0.0.1:0"); -#ifndef _WIN32 - ASSERT_EQ(to_str(ParseUrlEndpoint("unix:///tmp/sock"), false), "/tmp/sock"); - ASSERT_EQ(to_str(ParseUrlEndpoint("/tmp/sock"), false), "/tmp/sock"); -#endif -} - -TEST(UtilTest, ParseURLTest) { - const std::string url = "http://abc?num_objects=9&offset=8388878&size=8388878"; - auto parsed_url = *ParseURL(url); - ASSERT_EQ(parsed_url["url"], "http://abc"); - ASSERT_EQ(parsed_url["num_objects"], "9"); - ASSERT_EQ(parsed_url["offset"], "8388878"); - ASSERT_EQ(parsed_url["size"], "8388878"); -} - TEST(UtilTest, IsProcessAlive) { namespace bp = boost::process; bp::child c("bash"); @@ -75,7 +34,7 @@ TEST(UtilTest, IsProcessAlive) { c.join(); for (int i = 0; i < 5; ++i) { if (IsProcessAlive(pid)) { - std::this_thread::sleep_for(1s); + std::this_thread::sleep_for(std::chrono::seconds(1)); } else { break; } diff --git a/src/ray/util/tests/signal_test.cc b/src/ray/util/tests/signal_test.cc index 23324fa07991..9e37b41fbab2 100644 --- a/src/ray/util/tests/signal_test.cc +++ b/src/ray/util/tests/signal_test.cc @@ -14,14 +14,16 @@ #include +#include #include #include #include +#include #include "gtest/gtest.h" #include "ray/util/logging.h" #include "ray/util/path_utils.h" -#include "ray/util/util.h" +#include "ray/util/raii.h" // This test just print some call stack information. namespace ray { diff --git a/src/ray/util/tests/spdlog_newliner_sink_test.cc b/src/ray/util/tests/spdlog_newliner_sink_test.cc index 84ed7438b21a..565c90d57cfd 100644 --- a/src/ray/util/tests/spdlog_newliner_sink_test.cc +++ b/src/ray/util/tests/spdlog_newliner_sink_test.cc @@ -21,6 +21,8 @@ #include #include +#include "absl/strings/str_format.h" +#include "ray/common/id.h" #include "ray/common/tests/testing.h" #include "ray/util/compat.h" #include "ray/util/filesystem.h" @@ -32,6 +34,8 @@ namespace ray { namespace { +inline std::string RandomID() { return ray::UniqueID::FromRandom().Hex(); } + std::shared_ptr CreateLogger() { auto fd_formatter = std::make_unique( "%v", spdlog::pattern_time_type::local, std::string("")); @@ -182,7 +186,7 @@ TEST(NewlinerSinkWithFileinkTest, AppendAndFlushTest) { // Case-1: string with newliner at the end. { - const auto filepath = (dir.GetDirectory() / GenerateUUIDV4()).string(); + const auto filepath = (dir.GetDirectory() / RandomID()).string(); auto logger = CreateLogger(filepath); constexpr std::string_view kContent = "hello\n"; @@ -199,7 +203,7 @@ TEST(NewlinerSinkWithFileinkTest, AppendAndFlushTest) { // Case-2: string with no newliner at the end. { - const auto filepath = (dir.GetDirectory() / GenerateUUIDV4()).string(); + const auto filepath = (dir.GetDirectory() / RandomID()).string(); auto logger = CreateLogger(filepath); constexpr std::string_view kContent = "hello"; @@ -218,7 +222,7 @@ TEST(NewlinerSinkWithFileinkTest, AppendAndFlushTest) { // Case-3: newliner in the middle, with trailing newliner. { - const auto filepath = (dir.GetDirectory() / GenerateUUIDV4()).string(); + const auto filepath = (dir.GetDirectory() / RandomID()).string(); auto logger = CreateLogger(filepath); constexpr std::string_view kContent = "hello\nworld\n"; @@ -235,7 +239,7 @@ TEST(NewlinerSinkWithFileinkTest, AppendAndFlushTest) { // // Case-4: newliner in the middle, without trailing newliner. { - const auto filepath = (dir.GetDirectory() / GenerateUUIDV4()).string(); + const auto filepath = (dir.GetDirectory() / RandomID()).string(); auto logger = CreateLogger(filepath); constexpr std::string_view kContent = "hello\nworld"; @@ -254,7 +258,7 @@ TEST(NewlinerSinkWithFileinkTest, AppendAndFlushTest) { // // Case-5: multiple writes. { - const auto filepath = (dir.GetDirectory() / GenerateUUIDV4()).string(); + const auto filepath = (dir.GetDirectory() / RandomID()).string(); auto logger = CreateLogger(filepath); constexpr std::string_view kContent1 = "hello\nworld"; constexpr std::string_view kContent2 = "hello\nworld\n"; diff --git a/src/ray/util/tests/stream_redirection_exit_test.cc b/src/ray/util/tests/stream_redirection_exit_test.cc index 1644f06462aa..f753d2a1a71e 100644 --- a/src/ray/util/tests/stream_redirection_exit_test.cc +++ b/src/ray/util/tests/stream_redirection_exit_test.cc @@ -21,10 +21,11 @@ #include #include +#include "absl/strings/str_format.h" +#include "ray/common/id.h" #include "ray/common/tests/testing.h" #include "ray/util/filesystem.h" #include "ray/util/stream_redirection.h" -#include "ray/util/util.h" namespace ray { @@ -34,7 +35,8 @@ constexpr std::string_view kLogLine2 = "world"; } // namespace TEST(LoggingUtilTest, RedirectStderr) { - const std::string test_file_path = absl::StrFormat("%s.err", GenerateUUIDV4()); + const std::string test_file_path = + absl::StrFormat("%s.err", UniqueID::FromRandom().Hex()); // Works via `dup`, so have to execute before we redirect via `dup2` and close stderr. testing::internal::CaptureStderr(); diff --git a/src/ray/util/timestamp_utils.h b/src/ray/util/time.cc similarity index 59% rename from src/ray/util/timestamp_utils.h rename to src/ray/util/time.cc index 69d034cb9ceb..c305ca04e42a 100644 --- a/src/ray/util/timestamp_utils.h +++ b/src/ray/util/time.cc @@ -12,16 +12,19 @@ // See the License for the specific language governing permissions and // limitations under the License. -#pragma once - -#include +#include "ray/util/time.h" namespace ray { -inline int64_t current_sys_time_s() { - std::chrono::seconds s_since_epoch = std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()); - return s_since_epoch.count(); +std::optional ToTimeoutPoint(int64_t timeout_ms) { + std::optional timeout_point; + if (timeout_ms == -1) { + return timeout_point; + } + auto now = std::chrono::steady_clock::now(); + auto timeout_duration = std::chrono::milliseconds(timeout_ms); + timeout_point.emplace(now + timeout_duration); + return timeout_point; } } // namespace ray diff --git a/src/ray/util/time.h b/src/ray/util/time.h new file mode 100644 index 000000000000..473d2cb69356 --- /dev/null +++ b/src/ray/util/time.h @@ -0,0 +1,51 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +namespace ray { + +/// Return the number of milliseconds since the steady clock epoch. NOTE: The +/// returned timestamp may be used for accurately measuring intervals but has +/// no relation to wall clock time. It must not be used for synchronization +/// across multiple nodes. +inline int64_t current_time_ms() { + std::chrono::milliseconds ms_since_epoch = + std::chrono::duration_cast( + std::chrono::steady_clock::now().time_since_epoch()); + return ms_since_epoch.count(); +} + +inline int64_t current_sys_time_ms() { + std::chrono::milliseconds ms_since_epoch = + std::chrono::duration_cast( + std::chrono::system_clock::now().time_since_epoch()); + return ms_since_epoch.count(); +} + +inline int64_t current_sys_time_s() { + std::chrono::seconds s_since_epoch = std::chrono::duration_cast( + std::chrono::system_clock::now().time_since_epoch()); + return s_since_epoch.count(); +} + +/// Converts a timeout in milliseconds to a timeout point. +/// \param timeout_ms The timeout in milliseconds. +/// \return The timeout point, or std::nullopt if timeout_ms is -1. +std::optional ToTimeoutPoint(int64_t timeout_ms); + +} // namespace ray diff --git a/src/ray/util/util.cc b/src/ray/util/util.cc deleted file mode 100644 index c01f16b74952..000000000000 --- a/src/ray/util/util.cc +++ /dev/null @@ -1,227 +0,0 @@ -// Copyright 2020 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/util/util.h" - -#include -#include -#ifndef _WIN32 -#include -#endif - -#include -#include -#include -#include -#include -#include -#include -#include -#ifndef _WIN32 -#include -#endif -#include - -#include "absl/strings/match.h" -#include "ray/util/filesystem.h" -#include "ray/util/logging.h" -#include "ray/util/process.h" -#include "ray/util/string_utils.h" - -std::string EndpointToUrl( - const boost::asio::generic::basic_endpoint &ep, - bool include_scheme) { - std::string result, scheme; - switch (ep.protocol().family()) { - case AF_INET: { - scheme = "tcp://"; - boost::asio::ip::tcp::endpoint e(boost::asio::ip::tcp::v4(), 0); - RAY_CHECK_EQ(e.size(), ep.size()); - const sockaddr *src = ep.data(); - sockaddr *dst = e.data(); - *reinterpret_cast(dst) = *reinterpret_cast(src); - std::ostringstream ss; - ss << e; - result = ss.str(); - break; - } - case AF_INET6: { - scheme = "tcp://"; - boost::asio::ip::tcp::endpoint e(boost::asio::ip::tcp::v6(), 0); - RAY_CHECK_EQ(e.size(), ep.size()); - const sockaddr *src = ep.data(); - sockaddr *dst = e.data(); - *reinterpret_cast(dst) = *reinterpret_cast(src); - std::ostringstream ss; - ss << e; - result = ss.str(); - break; - } -#if defined(BOOST_ASIO_HAS_LOCAL_SOCKETS) && !defined(_WIN32) - case AF_UNIX: - scheme = "unix://"; - result.append(reinterpret_cast(ep.data())->sun_path, - ep.size() - offsetof(sockaddr_un, sun_path)); - break; -#endif - default: - RAY_LOG(FATAL) << "unsupported protocol family: " << ep.protocol().family(); - break; - } - if (include_scheme) { - result.insert(0, scheme); - } - return result; -} - -boost::asio::generic::basic_endpoint -ParseUrlEndpoint(const std::string &endpoint, int default_port) { - // Syntax reference: https://en.wikipedia.org/wiki/URL#Syntax - // Note that we're a bit more flexible, to allow parsing "127.0.0.1" as a URL. - boost::asio::generic::stream_protocol::endpoint result; - std::string address = endpoint, scheme; - if (absl::StartsWith(address, "unix://")) { - scheme = "unix://"; - address.erase(0, scheme.size()); - } else if (!address.empty() && ray::IsDirSep(address[0])) { - scheme = "unix://"; - } else if (absl::StartsWith(address, "tcp://")) { - scheme = "tcp://"; - address.erase(0, scheme.size()); - } else { - scheme = "tcp://"; - } - if (scheme == "unix://") { -#if defined(BOOST_ASIO_HAS_LOCAL_SOCKETS) && !defined(_WIN32) - size_t maxlen = sizeof(sockaddr_un().sun_path) / sizeof(*sockaddr_un().sun_path) - 1; - RAY_CHECK(address.size() <= maxlen) - << "AF_UNIX path length cannot exceed " << maxlen << " bytes: " << address; - result = boost::asio::local::stream_protocol::endpoint(address); -#else - RAY_LOG(FATAL) << "UNIX-domain socket endpoints are not supported: " << endpoint; -#endif - } else if (scheme == "tcp://") { - std::string::const_iterator i = address.begin(); - std::string host = ::ray::ScanToken(i, "[%*[^][/]]"); - host = - host.empty() ? ::ray::ScanToken(i, "%*[^/:]") : host.substr(1, host.size() - 2); - std::string port_str = ::ray::ScanToken(i, ":%*d"); - int port = port_str.empty() ? default_port : std::stoi(port_str.substr(1)); - result = boost::asio::ip::tcp::endpoint(boost::asio::ip::make_address(host), port); - } else { - RAY_LOG(FATAL) << "Unable to parse socket endpoint: " << endpoint; - } - return result; -} - -std::shared_ptr> ParseURL(std::string url) { - auto result = std::make_shared>(); - std::string delimiter = "?"; - size_t pos = 0; - pos = url.find(delimiter); - if (pos == std::string::npos) { - return result; - } - - const std::string base_url = url.substr(0, pos); - result->emplace("url", base_url); - url.erase(0, pos + delimiter.length()); - const std::string query_delimeter = "&"; - - auto parse_key_value_with_equal_delimter = - [](std::string_view key_value) -> std::pair { - // Parse the query key value pair. - const std::string key_value_delimter = "="; - size_t key_value_pos = key_value.find(key_value_delimter); - std::string_view key = key_value.substr(0, key_value_pos); - return std::make_pair(key, key_value.substr(key.size() + 1)); - }; - - while ((pos = url.find(query_delimeter)) != std::string::npos) { - std::string_view token = std::string_view{url}.substr(0, pos); - auto key_value_pair = parse_key_value_with_equal_delimter(token); - result->emplace(std::string(key_value_pair.first), - std::string(key_value_pair.second)); - url.erase(0, pos + delimiter.length()); - } - std::string_view token = std::string_view{url}.substr(0, pos); - auto key_value_pair = parse_key_value_with_equal_delimter(token); - result->emplace(std::string(key_value_pair.first), std::string(key_value_pair.second)); - return result; -} - -std::string GenerateUUIDV4() { - thread_local std::random_device rd; - thread_local std::mt19937 gen(rd()); - std::uniform_int_distribution<> dis(0, 15); - std::uniform_int_distribution<> dis2(8, 11); - - std::stringstream ss; - int i; - ss << std::hex; - for (i = 0; i < 8; i++) { - ss << dis(gen); - } - ss << "-"; - for (i = 0; i < 4; i++) { - ss << dis(gen); - } - ss << "-4"; - for (i = 0; i < 3; i++) { - ss << dis(gen); - } - ss << "-"; - ss << dis2(gen); - for (i = 0; i < 3; i++) { - ss << dis(gen); - } - ss << "-"; - for (i = 0; i < 12; i++) { - ss << dis(gen); - }; - return ss.str(); -} - -namespace ray { - -bool IsRayletFailed(const std::string &raylet_pid) { - auto should_shutdown = false; - if (!raylet_pid.empty()) { - auto pid = static_cast(std::stoi(raylet_pid)); - if (!IsProcessAlive(pid)) { - should_shutdown = true; - } - } else if (!IsParentProcessAlive()) { - should_shutdown = true; - } - return should_shutdown; -} - -void QuickExit() { - ray::RayLog::ShutDownRayLog(); - _Exit(1); -} - -std::optional ToTimeoutPoint(int64_t timeout_ms) { - std::optional timeout_point; - if (timeout_ms == -1) { - return timeout_point; - } - auto now = std::chrono::steady_clock::now(); - auto timeout_duration = std::chrono::milliseconds(timeout_ms); - timeout_point.emplace(now + timeout_duration); - return timeout_point; -} - -} // namespace ray diff --git a/src/ray/util/util.h b/src/ray/util/util.h deleted file mode 100644 index 8f0baecb5b1b..000000000000 --- a/src/ray/util/util.h +++ /dev/null @@ -1,189 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#ifdef __APPLE__ -#include -#endif - -#ifdef __linux__ -#include -#endif - -#ifdef _WIN32 -#ifndef _WINDOWS_ -#ifndef WIN32_LEAN_AND_MEAN // Sorry for the inconvenience. Please include any related - // headers you need manually. - // (https://stackoverflow.com/a/8294669) -#define WIN32_LEAN_AND_MEAN // Prevent inclusion of WinSock2.h -#endif -#include // Force inclusion of WinGDI here to resolve name conflict -#endif -#endif - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include "absl/container/flat_hash_map.h" -#include "ray/util/logging.h" -#include "ray/util/macros.h" - -#ifdef _WIN32 -#include // to ensure getpid() on Windows -#endif - -// Boost forward-declarations (to avoid forcing slow header inclusions) -namespace boost::asio::generic { - -template -class basic_endpoint; -class stream_protocol; - -} // namespace boost::asio::generic - -// Append append_str to the beginning of each line of str. -inline std::string AppendToEachLine(const std::string &str, - const std::string &append_str) { - std::stringstream ss; - ss << append_str; - for (char c : str) { - ss << c; - if (c == '\n') { - ss << append_str; - } - } - return ss.str(); -} - -inline int64_t current_sys_time_s() { - std::chrono::seconds s_since_epoch = std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()); - return s_since_epoch.count(); -} - -/// Return the number of milliseconds since the steady clock epoch. NOTE: The -/// returned timestamp may be used for accurately measuring intervals but has -/// no relation to wall clock time. It must not be used for synchronization -/// across multiple nodes. -/// -/// TODO(rkn): This function appears in multiple places. It should be -/// deduplicated. -/// -/// \return The number of milliseconds since the steady clock epoch. -inline int64_t current_time_ms() { - std::chrono::milliseconds ms_since_epoch = - std::chrono::duration_cast( - std::chrono::steady_clock::now().time_since_epoch()); - return ms_since_epoch.count(); -} - -inline int64_t current_sys_time_ms() { - std::chrono::milliseconds ms_since_epoch = - std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()); - return ms_since_epoch.count(); -} - -inline int64_t current_sys_time_us() { - std::chrono::microseconds mu_since_epoch = - std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()); - return mu_since_epoch.count(); -} - -std::string GenerateUUIDV4(); - -/// Converts the given endpoint (such as TCP or UNIX domain socket address) to a string. -/// \param include_scheme Whether to include the scheme prefix (such as tcp://). -/// This is recommended to avoid later ambiguity when parsing. -std::string EndpointToUrl( - const boost::asio::generic::basic_endpoint &ep, - bool include_scheme = true); - -/// Parses the endpoint socket address of a URL. -/// If a scheme:// prefix is absent, the address family is guessed automatically. -/// For TCP/IP, the endpoint comprises the IP address and port number in the URL. -/// For UNIX domain sockets, the endpoint comprises the socket path. -boost::asio::generic::basic_endpoint -ParseUrlEndpoint(const std::string &endpoint, int default_port = 0); - -/// Parse the url and return a pair of base_url and query string map. -/// EX) http://abc?num_objects=9&offset=8388878 -/// will be returned as -/// { -/// url: http://abc, -/// num_objects: 9, -/// offset: 8388878 -/// } -std::shared_ptr> ParseURL(std::string url); - -class InitShutdownRAII { - public: - /// Type of the Shutdown function. - using ShutdownFunc = void (*)(); - - /// Create an instance of InitShutdownRAII which will call shutdown - /// function when it is out of scope. - /// - /// \param init_func The init function. - /// \param shutdown_func The shutdown function. - /// \param args The arguments for the init function. - template - InitShutdownRAII(InitFunc init_func, ShutdownFunc shutdown_func, Args &&...args) - : shutdown_(shutdown_func) { - init_func(args...); - } - - /// Destructor of InitShutdownRAII which will call the shutdown function. - ~InitShutdownRAII() { - if (shutdown_ != nullptr) { - shutdown_(); - } - } - - private: - ShutdownFunc shutdown_; -}; - -struct EnumClassHash { - template - std::size_t operator()(T t) const { - return static_cast(t); - } -}; - -namespace ray { - -/// Return true if the raylet is failed. This util function is only meant to be used by -/// core worker modules. -bool IsRayletFailed(const std::string &raylet_pid); - -/// Teriminate the process without cleaning up the resources. -void QuickExit(); - -/// Converts a timeout in milliseconds to a timeout point. -/// \param[in] timeout_ms The timeout in milliseconds. -/// \return The timeout point, or std::nullopt if timeout_ms is -1. -std::optional ToTimeoutPoint(int64_t timeout_ms); - -} // namespace ray From c302774f51fd8af69a78c38f7d666bb52b919cbc Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Wed, 20 Aug 2025 21:25:19 -0700 Subject: [PATCH 0800/1566] [train] fix test_jax_trainer imports (#55799) Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- python/ray/train/v2/tests/test_jax_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/train/v2/tests/test_jax_trainer.py b/python/ray/train/v2/tests/test_jax_trainer.py index a6449577181b..cc77f03b1ae6 100644 --- a/python/ray/train/v2/tests/test_jax_trainer.py +++ b/python/ray/train/v2/tests/test_jax_trainer.py @@ -2,8 +2,8 @@ import ray from ray.tests.conftest import _ray_start_cluster +from ray.train import RunConfig, ScalingConfig from ray.train.v2._internal.constants import HEALTH_CHECK_INTERVAL_S_ENV_VAR -from ray.train.v2.api.config import RunConfig, ScalingConfig from ray.train.v2.jax import JaxTrainer From 34728e408361e8f4780aa2efb8f122fbbf7eb599 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Thu, 21 Aug 2025 00:02:57 -0700 Subject: [PATCH 0801/1566] [Core] Remove dead code (#55805) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../gcs_server/gcs_redis_failure_detector.h | 23 ------------------- 1 file changed, 23 deletions(-) delete mode 100644 src/mock/ray/gcs/gcs_server/gcs_redis_failure_detector.h diff --git a/src/mock/ray/gcs/gcs_server/gcs_redis_failure_detector.h b/src/mock/ray/gcs/gcs_server/gcs_redis_failure_detector.h deleted file mode 100644 index d3b5948df8e7..000000000000 --- a/src/mock/ray/gcs/gcs_server/gcs_redis_failure_detector.h +++ /dev/null @@ -1,23 +0,0 @@ -// Copyright The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -namespace ray { -namespace gcs { - -class MockGcsRedisFailureDetector : public GcsRedisFailureDetector { - public: -}; - -} // namespace gcs -} // namespace ray From 22175ae0d3f725f6feca968419d4ee948d47d2af Mon Sep 17 00:00:00 2001 From: Artur Niederfahrenhorst Date: Thu, 21 Aug 2025 18:13:31 +0200 Subject: [PATCH 0802/1566] [RLlib] Add StepFailedRecreateEnv exception (#55146) ## Why are these changes needed? There exist environments that are inherently unstable (for example because they rely on a system that is not under the control of the user). This PR introduces a special exception that a user-defined environment can raise in case the external environment fails and requires a reset. RLlib catches the exception and recreates the environment that raised said exception without logging an error. Signed-off-by: Douglas Strodtman --- .../rllib/package_ref/env/env_runner.rst | 7 +++ rllib/algorithms/algorithm_config.py | 6 +- rllib/env/env_errors.py | 18 ++++++ rllib/env/env_runner.py | 14 +++-- .../env/tests/test_single_agent_env_runner.py | 56 ++++++++++++++++++- 5 files changed, 92 insertions(+), 9 deletions(-) create mode 100644 rllib/env/env_errors.py diff --git a/doc/source/rllib/package_ref/env/env_runner.rst b/doc/source/rllib/package_ref/env/env_runner.rst index b1f7fb8401ad..a47bd2256e25 100644 --- a/doc/source/rllib/package_ref/env/env_runner.rst +++ b/doc/source/rllib/package_ref/env/env_runner.rst @@ -45,6 +45,13 @@ Cleanup EnvRunner.stop +rllib.env.env_errors.StepFailedRecreateEnvError +------------------------------------------------ + +.. currentmodule:: ray.rllib.env.env_errors + +.. autoclass:: StepFailedRecreateEnvError + Single-agent and multi-agent EnvRunners --------------------------------------- diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 98fe844d7a4a..018554b8540d 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -3794,9 +3794,11 @@ def fault_tolerance( True). restart_failed_sub_environments: If True and any sub-environment (within a vectorized env) throws any error during env stepping, the - Sampler tries to restart the faulty sub-environment. This is done + EnvRunner tries to restart the faulty sub-environment. This is done without disturbing the other (still intact) sub-environment and without - the EnvRunner crashing. + the EnvRunner crashing. You can raise + `ray.rllib.env.env_runner.StepFailedRecreateEnvError` from your + environment's `step` method to not log the error. num_consecutive_env_runner_failures_tolerance: The number of consecutive times an EnvRunner failure (also for evaluation) is tolerated before finally crashing the Algorithm. Only useful if either diff --git a/rllib/env/env_errors.py b/rllib/env/env_errors.py new file mode 100644 index 000000000000..cb52892db1da --- /dev/null +++ b/rllib/env/env_errors.py @@ -0,0 +1,18 @@ +"""Error classes for RLlib environment operations.""" + +from ray.util.annotations import PublicAPI + + +@PublicAPI(stability="alpha") +class StepFailedRecreateEnvError(Exception): + """An exception that signals that the environment step failed and the environment needs to be reset. + + This exception may be raised by the environment's `step` method. + It is then caught by the `EnvRunner` and the environment is reset. + This can be useful if your environment is unstable, regularely crashing in a certain way. + For example, if you connect to an external simulator that you have little control over. + You can detect such crashes in your step method and throw this error to not log the error. + Use this with caution, as it may lead to infinite loops of resetting the environment. + """ + + pass diff --git a/rllib/env/env_runner.py b/rllib/env/env_runner.py index 7d3a7a9d488e..6da4fcaf68e0 100644 --- a/rllib/env/env_runner.py +++ b/rllib/env/env_runner.py @@ -7,6 +7,7 @@ import ray from ray.rllib.core import COMPONENT_RL_MODULE +from ray.rllib.env.env_errors import StepFailedRecreateEnvError from ray.rllib.utils.actor_manager import FaultAwareApply from ray.rllib.utils.debug import update_global_seed_if_necessary from ray.rllib.utils.framework import try_import_tf @@ -25,6 +26,7 @@ ENV_RESET_FAILURE = "env_reset_failure" ENV_STEP_FAILURE = "env_step_failure" +NUM_ENV_STEP_FAILURES_LIFETIME = "num_env_step_failures" # TODO (sven): As soon as RolloutWorker is no longer supported, make this base class @@ -232,11 +234,11 @@ def _try_env_step(self, actions): results = self.env.step(actions) return results except Exception as e: + self.metrics.log_value(NUM_ENV_STEP_FAILURES_LIFETIME, 1, reduce="sum") + if self.config.restart_failed_sub_environments: - logger.exception( - "Stepping the env resulted in an error! The original error " - f"is: {e.args[0]}" - ) + if not isinstance(e, StepFailedRecreateEnvError): + logger.exception("Stepping the env resulted in an error!") # Recreate the env. self.make_env() # And return that the stepping failed. The caller will then handle @@ -244,6 +246,10 @@ def _try_env_step(self, actions): # data and repeating the step attempt). return ENV_STEP_FAILURE else: + if isinstance(e, StepFailedRecreateEnvError): + raise ValueError( + "Environment raised StepFailedRecreateEnvError but config.restart_failed_sub_environments is False." + ) from e raise e def _convert_to_tensor(self, struct) -> TensorType: diff --git a/rllib/env/tests/test_single_agent_env_runner.py b/rllib/env/tests/test_single_agent_env_runner.py index 4d5f8808aa84..0aac37bb3f83 100644 --- a/rllib/env/tests/test_single_agent_env_runner.py +++ b/rllib/env/tests/test_single_agent_env_runner.py @@ -1,12 +1,14 @@ from functools import partial -import unittest +from unittest.mock import patch +import unittest import gymnasium as gym import ray from ray import tune from ray.rllib.algorithms.algorithm_config import AlgorithmConfig from ray.rllib.env.single_agent_env_runner import SingleAgentEnvRunner +from ray.rllib.env.env_runner import StepFailedRecreateEnvError from ray.rllib.env.utils import _gym_env_creator from ray.rllib.examples.envs.classes.simple_corridor import SimpleCorridor from ray.rllib.utils.test_utils import check @@ -75,7 +77,7 @@ def test_sample(self): self.assertTrue(sum_ in [128, 129]) def test_async_vector_env(self): - """Tests, whether SingleAgentGymEnvRunner can run with vector envs.""" + """Tests, whether SingleAgentEnvRunner can run with vector envs.""" for env in ["CartPole-v1", SimpleCorridor, "tune-registered"]: config = ( @@ -101,7 +103,7 @@ def test_async_vector_env(self): env_runner.stop() def test_distributed_env_runner(self): - """Tests, whether SingleAgentGymEnvRunner can be distributed.""" + """Tests, whether SingleAgentEnvRunner can be distributed.""" remote_class = ray.remote(num_cpus=1, num_gpus=0)(SingleAgentEnvRunner) @@ -142,6 +144,54 @@ def test_distributed_env_runner(self): ], ) + @patch("ray.rllib.env.env_runner.logger") + def test_step_failed_reset_required(self, mock_logger): + """Tests, whether SingleAgentEnvRunner can handle StepFailedResetRequired.""" + # Define an env that raises StepFailedResetRequired + + class ErrorRaisingEnv(gym.Env): + def __init__(self, config=None): + # As per gymnasium standard, provide observation and action spaces in your + # constructor. + self.observation_space = gym.spaces.Discrete(2) + self.action_space = gym.spaces.Discrete(2) + self.exception_type = config["exception_type"] + + def reset(self, *, seed=None, options=None): + return self.observation_space.sample(), {} + + def step(self, action): + raise self.exception_type() + + config = ( + AlgorithmConfig() + .environment( + ErrorRaisingEnv, + env_config={"exception_type": StepFailedRecreateEnvError}, + ) + .env_runners(num_envs_per_env_runner=1, rollout_fragment_length=10) + .fault_tolerance(restart_failed_sub_environments=True) + ) + env_runner = SingleAgentEnvRunner(config=config) + + # Check that we don't log the error on the first step (because we don't raise StepFailedResetRequired) + # We need two steps because the first one naturally raises ResetNeeded because we try to step before the env is reset. + env_runner._try_env_reset() + env_runner._try_env_step(actions=[None]) + + assert mock_logger.exception.call_count == 0 + + config.environment(ErrorRaisingEnv, env_config={"exception_type": ValueError}) + + env_runner = SingleAgentEnvRunner(config=config) + + # Check that we don't log the error on the first step (because we don't raise StepFailedResetRequired) + # We need two steps because the first one naturally raises ResetNeeded because we try to step before the env is reset. + env_runner._try_env_reset() + env_runner._try_env_step(actions=[None]) + + assert mock_logger.exception.call_count == 1 + if __name__ == "__main__": import pytest From af6a1dcb9674e78a81ea8eab930830a67c770dbb Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Thu, 21 Aug 2025 23:02:25 +0530 Subject: [PATCH 0803/1566] [core] Fix RAY_CHECK failure during shutdown due to plasma store race condition (#55367) ## Why are these changes needed? Workers crash with a fatal `RAY_CHECK` failure when the plasma store connection is broken during shutdown, causing the following error: ``` RAY_CHECK failed: PutInLocalPlasmaStore(object, object_id, true) Status not OK: IOError: Broken pipe ``` Stacktrace: ``` core_worker.cc:720 C Check failed: PutInLocalPlasmaStore(object, object_id, true) Status not OK: IOError: Broken pipe *** StackTrace Information *** /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x141789a) [0x7924dd2c689a] ray::operator<<() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZN3ray6RayLogD1Ev+0x479) [0x7924dd2c9319] ray::RayLog::~RayLog() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x95cc8a) [0x7924dc80bc8a] ray::core::CoreWorker::CoreWorker()::{lambda()#13}::operator()() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZN3ray4core11TaskManager27MarkTaskReturnObjectsFailedERKNS_17TaskSpecificationENS_3rpc9ErrorTypeEPKNS5_12RayErrorInfoERKN4absl12lts_2023080213flat_hash_setINS_8ObjectIDENSB_13hash_internal4HashISD_EESt8equal_toISD_ESaISD_EEE+0x679) [0x7924dc868f29] ray::core::TaskManager::MarkTaskReturnObjectsFailed() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZN3ray4core11TaskManager15FailPendingTaskERKNS_6TaskIDENS_3rpc9ErrorTypeEPKNS_6StatusEPKNS5_12RayErrorInfoE+0x416) [0x7924dc86f186] ray::core::TaskManager::FailPendingTask() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x9a90e6) [0x7924dc8580e6] ray::core::NormalTaskSubmitter::RequestNewWorkerIfNeeded()::{lambda()#1}::operator()() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZN3ray3rpc14ClientCallImplINS0_23RequestWorkerLeaseReplyEE15OnReplyReceivedEv+0x68) [0x7924dc94aa48] ray::rpc::ClientCallImpl<>::OnReplyReceived() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZNSt17_Function_handlerIFvvEZN3ray3rpc17ClientCallManager29PollEventsFromCompletionQueueEiEUlvE_E9_M_invokeERKSt9_Any_data+0x15) [0x7924dc79e285] std::_Function_handler<>::_M_invoke() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0xd9b4c8) [0x7924dcc4a4c8] EventTracker::RecordExecution() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0xd4648e) [0x7924dcbf548e] std::_Function_handler<>::_M_invoke() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0xd46906) [0x7924dcbf5906] boost::asio::detail::completion_handler<>::do_complete() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x13f417b) [0x7924dd2a317b] boost::asio::detail::scheduler::do_run_one() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x13f5af9) [0x7924dd2a4af9] boost::asio::detail::scheduler::run() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0x13f6202) [0x7924dd2a5202] boost::asio::io_context::run() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(_ZN3ray4core10CoreWorker12RunIOServiceEv+0x91) [0x7924dc793a61] ray::core::CoreWorker::RunIOService() /home/ray/anaconda3/lib/python3.11/site-packages/ray/_raylet.so(+0xcba0b0) [0x7924dcb690b0] thread_proxy /lib/x86_64-linux-gnu/libc.so.6(+0x94ac3) [0x7924dde71ac3] /lib/x86_64-linux-gnu/libc.so.6(+0x126850) [0x7924ddf03850] ``` Stack trace flow: 1. Task lease request fails -> `NormalTaskSubmitter::RequestNewWorkerIfNeeded()` callback. 2. Triggers `TaskManager::FailPendingTask()` -> `MarkTaskReturnObjectsFailed()`. 3. System attempts to store error objects in plasma via `put_in_local_plasma_callback_`. 4. Plasma connection is broken (raylet/plasma store already shut down). 5. `RAY_CHECK_OK()` in the callback causes fatal crash instead of graceful handling. Root Cause: This is a shutdown ordering race condition: 1. Raylet shuts down first: The raylet stops its IO context ([main_service_.stop()](https://github.com/ray-project/ray/blob/77c5475195e56a26891d88460973198391d20edf/src/ray/object_manager/plasma/store_runner.cc#L146)) which closes plasma store connections. 2. Worker still processes callbacks: Core worker continues processing pending callbacks on separate threads. 3. Broken connection: When the callback tries to store error objects in plasma, the connection is already closed. 4. Fatal crash: The `RAY_CHECK_OK()` treats this as an unexpected error and crashes the process. Fix: 1. Shutdown-aware plasma operations - Add `CoreWorker::IsShuttingDown()` method to check shutdown state. - Skip plasma operations entirely when shutdown is in progress. - Prevents attempting operations on already-closed connections. 2. Targeted error handling for connection failures - Replace blanket `RAY_CHECK_OK()` with specific error type checking. - Handle connection errors (Broken pipe, Connection reset, Bad file descriptor) as warnings during shutdown scenarios. - Maintain `RAY_CHECK_OK()` for other error types to catch real issues. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.h | 13 + src/ray/core_worker/core_worker_process.cc | 10 +- src/ray/core_worker/task_manager.cc | 122 ++++++--- src/ray/core_worker/task_manager.h | 16 +- .../core_worker/tests/task_manager_test.cc | 254 ++++++++++++++++++ 5 files changed, 376 insertions(+), 39 deletions(-) diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 2099d4b740ff..cffda26e8c85 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1494,6 +1494,19 @@ class CoreWorker { std::string *application_error); /// Put an object in the local plasma store. + /// + /// Return status semantics: + /// - Status::OK(): The object was created (or already existed) and bookkeeping was + /// updated. Note: an internal ObjectExists from the plasma provider is treated + /// as OK and does not surface here. + /// - Status::ObjectStoreFull(): The local plasma store is out of memory (or out of + /// disk when spilling). The error message contains context and a short memory + /// report. + /// - Status::IOError(): IPC/connection failures while talking to the plasma store + /// (e.g., broken pipe/connection reset during shutdown, store not reachable). + /// + /// Call sites that run during shutdown may choose to tolerate IOError specifically, + /// but should treat all other statuses as real failures. Status PutInLocalPlasmaStore(const RayObject &object, const ObjectID &object_id, bool pin_object); diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 59fe6ad14f0f..783a184ca09f 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -423,8 +423,14 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( /*put_in_local_plasma_callback=*/ [this](const RayObject &object, const ObjectID &object_id) { auto core_worker = GetCoreWorker(); - RAY_CHECK_OK( - core_worker->PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true)); + auto put_status = + core_worker->PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true); + if (!put_status.ok()) { + RAY_LOG(WARNING).WithField(object_id) + << "Failed to put object in plasma store: " << put_status; + return put_status; + } + return Status::OK(); }, /* retry_task_callback= */ [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 70693b8f2a19..75f84cd21ad4 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -533,10 +533,10 @@ size_t TaskManager::NumPendingTasks() const { return num_pending_tasks_; } -bool TaskManager::HandleTaskReturn(const ObjectID &object_id, - const rpc::ReturnObject &return_object, - const NodeID &worker_node_id, - bool store_in_plasma) { +StatusOr TaskManager::HandleTaskReturn(const ObjectID &object_id, + const rpc::ReturnObject &return_object, + const NodeID &worker_node_id, + bool store_in_plasma) { bool direct_return = false; reference_counter_.UpdateObjectSize(object_id, return_object.size()); RAY_LOG(DEBUG) << "Task return object " << object_id << " has size " @@ -579,7 +579,15 @@ bool TaskManager::HandleTaskReturn(const ObjectID &object_id, /*copy_data=*/false, tensor_transport.value_or(rpc::TensorTransport::OBJECT_STORE)); if (store_in_plasma) { - put_in_local_plasma_callback_(object, object_id); + Status s = put_in_local_plasma_callback_(object, object_id); + int retry_count = 0; + while (!s.ok() && s.IsTransientObjectStoreFull() && retry_count < 3) { + retry_count++; + s = put_in_local_plasma_callback_(object, object_id); + } + if (!s.ok()) { + return s; + } } else { in_memory_store_.Put(object, object_id); direct_return = true; @@ -813,10 +821,15 @@ bool TaskManager::HandleReportGeneratorItemReturns( } // When an object is reported, the object is ready to be fetched. reference_counter_.UpdateObjectPendingCreation(object_id, false); - HandleTaskReturn(object_id, - return_object, - NodeID::FromBinary(request.worker_addr().node_id()), - /*store_in_plasma=*/store_in_plasma_ids.contains(object_id)); + StatusOr put_res = + HandleTaskReturn(object_id, + return_object, + NodeID::FromBinary(request.worker_addr().node_id()), + /*store_in_plasma=*/store_in_plasma_ids.contains(object_id)); + if (!put_res.ok()) { + RAY_LOG(WARNING).WithField(object_id) + << "Failed to handle streaming dynamic return: " << put_res.status(); + } } // Handle backpressure if needed. @@ -900,23 +913,54 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, reference_counter_.AddDynamicReturn(object_id, generator_id); dynamic_return_ids.push_back(object_id); } - if (!HandleTaskReturn(object_id, - return_object, - NodeID::FromBinary(worker_addr.node_id()), - store_in_plasma_ids.contains(object_id))) { - if (first_execution) { - dynamic_returns_in_plasma.push_back(object_id); + StatusOr direct_or = + HandleTaskReturn(object_id, + return_object, + NodeID::FromBinary(worker_addr.node_id()), + store_in_plasma_ids.contains(object_id)); + if (!direct_or.ok()) { + RAY_LOG(WARNING).WithField(object_id) + << "Failed to handle dynamic task return: " << direct_or.status(); + Status st = direct_or.status(); + rpc::ErrorType err_type = rpc::ErrorType::WORKER_DIED; + if (st.IsObjectStoreFull() || st.IsTransientObjectStoreFull()) { + err_type = rpc::ErrorType::OUT_OF_MEMORY; } + rpc::RayErrorInfo err_info; + err_info.set_error_message(st.ToString()); + FailOrRetryPendingTask(task_id, + err_type, + &st, + /*ray_error_info=*/&err_info, + /*mark_task_object_failed=*/true, + /*fail_immediately=*/true); + return; + } else if (!direct_or.value() && first_execution) { + dynamic_returns_in_plasma.push_back(object_id); } } } for (const auto &return_object : reply.return_objects()) { const auto object_id = ObjectID::FromBinary(return_object.object_id()); - if (HandleTaskReturn(object_id, - return_object, - NodeID::FromBinary(worker_addr.node_id()), - store_in_plasma_ids.contains(object_id))) { + StatusOr direct_or = HandleTaskReturn(object_id, + return_object, + NodeID::FromBinary(worker_addr.node_id()), + store_in_plasma_ids.contains(object_id)); + if (!direct_or.ok()) { + RAY_LOG(WARNING).WithField(object_id) + << "Failed to handle task return: " << direct_or.status(); + // If storing return in plasma failed, treat as system failure for this attempt. + // Do not proceed with normal completion. Mark task failed immediately. + Status st = direct_or.status(); + FailOrRetryPendingTask(task_id, + rpc::ErrorType::WORKER_DIED, + &st, + /*ray_error_info=*/nullptr, + /*mark_task_object_failed=*/true, + /*fail_immediately=*/true); + return; + } else if (direct_or.value()) { direct_return_ids.push_back(object_id); } } @@ -1040,10 +1084,16 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, const auto generator_return_id = spec.StreamingGeneratorReturnId(i); RAY_CHECK_EQ(reply.return_objects_size(), 1); const auto &return_object = reply.return_objects(0); - HandleTaskReturn(generator_return_id, - return_object, - NodeID::FromBinary(worker_addr.node_id()), - store_in_plasma_ids.contains(generator_return_id)); + StatusOr res = + HandleTaskReturn(generator_return_id, + return_object, + NodeID::FromBinary(worker_addr.node_id()), + store_in_plasma_ids.contains(generator_return_id)); + if (!res.ok()) { + RAY_LOG(WARNING).WithField(generator_return_id) + << "Failed to handle generator return during app error propagation: " + << res.status(); + } } } } @@ -1454,18 +1504,26 @@ void TaskManager::MarkTaskReturnObjectsFailed( int64_t num_returns = spec.NumReturns(); for (int i = 0; i < num_returns; i++) { const auto object_id = ObjectID::FromIndex(task_id, /*index=*/i + 1); + // Always place an error marker in local memory to unblock waiters quickly. + in_memory_store_.Put(error, object_id); + // Best-effort plasma put if the object was meant to be in plasma. if (store_in_plasma_ids.contains(object_id)) { - put_in_local_plasma_callback_(error, object_id); - } else { - in_memory_store_.Put(error, object_id); + Status s = put_in_local_plasma_callback_(error, object_id); + if (!s.ok()) { + RAY_LOG(WARNING).WithField(object_id) + << "Failed to put error object in plasma: " << s; + } } } if (spec.ReturnsDynamic()) { for (const auto &dynamic_return_id : spec.DynamicReturnIds()) { + in_memory_store_.Put(error, dynamic_return_id); if (store_in_plasma_ids.contains(dynamic_return_id)) { - put_in_local_plasma_callback_(error, dynamic_return_id); - } else { - in_memory_store_.Put(error, dynamic_return_id); + Status s = put_in_local_plasma_callback_(error, dynamic_return_id); + if (!s.ok()) { + RAY_LOG(WARNING).WithField(dynamic_return_id) + << "Failed to put error object in plasma: " << s; + } } } } @@ -1488,7 +1546,11 @@ void TaskManager::MarkTaskReturnObjectsFailed( for (size_t i = 0; i < num_streaming_generator_returns; i++) { const auto generator_return_id = spec.StreamingGeneratorReturnId(i); if (store_in_plasma_ids.contains(generator_return_id)) { - put_in_local_plasma_callback_(error, generator_return_id); + Status s = put_in_local_plasma_callback_(error, generator_return_id); + if (!s.ok()) { + RAY_LOG(WARNING).WithField(generator_return_id) + << "Failed to put error object in plasma: " << s; + } } else { in_memory_store_.Put(error, generator_return_id); } diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index e8025bc0f7e5..4b1c32e1e873 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include #include @@ -25,6 +26,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" +#include "ray/common/status.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_manager_interface.h" @@ -42,7 +44,7 @@ class ActorManager; using TaskStatusCounter = CounterMap>; using PutInLocalPlasmaCallback = - std::function; + std::function; using RetryTaskCallback = std::function; using ReconstructObjectCallback = std::function; @@ -608,12 +610,12 @@ class TaskManager : public TaskManagerInterface { ABSL_LOCKS_EXCLUDED(mu_); /// Update nested ref count info and store the in-memory value for a task's - /// return object. Returns true if the task's return object was returned - /// directly by value. - bool HandleTaskReturn(const ObjectID &object_id, - const rpc::ReturnObject &return_object, - const NodeID &worker_node_id, - bool store_in_plasma) ABSL_LOCKS_EXCLUDED(mu_); + /// return object. On success, sets direct_return_out to true if the object's value + /// was returned directly by value (not stored in plasma). + StatusOr HandleTaskReturn(const ObjectID &object_id, + const rpc::ReturnObject &return_object, + const NodeID &worker_node_id, + bool store_in_plasma) ABSL_LOCKS_EXCLUDED(mu_); /// Remove a lineage reference to this object ID. This should be called /// whenever a task that depended on this object ID can no longer be retried. diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index 81eee6f6ca8b..b8e4c5722253 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -160,6 +160,7 @@ class TaskManagerTest : public ::testing::Test { *reference_counter_, [this](const RayObject &object, const ObjectID &object_id) { stored_in_plasma.insert(object_id); + return Status::OK(); }, [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { num_retries_++; @@ -1360,6 +1361,191 @@ TEST_F(TaskManagerLineageTest, TestResubmittedDynamicReturnsTaskFails) { ASSERT_EQ(stored_in_plasma.size(), 3); } +// High-level tests around plasma put failures and retries using a real memory store +TEST_F(TaskManagerTest, PlasmaPut_ObjectStoreFull_FailsTaskAndWritesError) { + auto local_ref_counter = std::make_shared( + addr_, + publisher_.get(), + subscriber_.get(), + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, + lineage_pinning_enabled_); + auto local_store = std::make_shared(io_context_.GetIoService(), + local_ref_counter.get()); + + TaskManager failing_mgr( + *local_store, + *local_ref_counter, + /*put_in_local_plasma_callback=*/ + [](const RayObject &, const ObjectID &) { + return Status::ObjectStoreFull("simulated"); + }, + [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + num_retries_++; + last_delay_ms_ = delay_ms; + last_object_recovery_ = object_recovery; + return Status::OK(); + }, + [this](const TaskSpecification &spec) { + return this->did_queue_generator_resubmit_; + }, + [](const JobID &, const std::string &, const std::string &, double) { + return Status::OK(); + }, + /*max_lineage_bytes*/ 1024 * 1024, + *task_event_buffer_mock_.get(), + [](const ActorID &) -> std::shared_ptr { + return nullptr; + }, + mock_gcs_client_); + + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + failing_mgr.AddPendingTask(caller_address, spec, ""); + failing_mgr.MarkDependenciesResolved(spec.TaskId()); + failing_mgr.MarkTaskWaitingForExecution( + spec.TaskId(), NodeID::FromRandom(), WorkerID::FromRandom()); + + rpc::PushTaskReply reply; + auto return_object = reply.add_return_objects(); + auto return_id = spec.ReturnId(0); + return_object->set_object_id(return_id.Binary()); + return_object->set_in_plasma(true); + failing_mgr.CompletePendingTask( + spec.TaskId(), reply, rpc::Address(), /*app_err=*/false); + + ASSERT_FALSE(failing_mgr.IsTaskPending(spec.TaskId())); + std::vector> results; + WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(0)); + RAY_CHECK_OK(local_store->Get({return_id}, 1, 0, ctx, false, &results)); + ASSERT_EQ(results.size(), 1); + ASSERT_TRUE(results[0]->IsException()); +} + +TEST_F(TaskManagerTest, PlasmaPut_TransientFull_RetriesThenSucceeds) { + std::shared_ptr> attempts = std::make_shared>(0); + auto local_ref_counter = std::make_shared( + addr_, + publisher_.get(), + subscriber_.get(), + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, + lineage_pinning_enabled_); + auto local_store = std::make_shared(io_context_.GetIoService(), + local_ref_counter.get()); + TaskManager retry_mgr( + *local_store, + *local_ref_counter, + /*put_in_local_plasma_callback=*/ + [attempts](const RayObject &, const ObjectID &) { + int n = ++(*attempts); + if (n < 3) { + return Status::TransientObjectStoreFull("retry"); + } + return Status::OK(); + }, + [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + num_retries_++; + last_delay_ms_ = delay_ms; + last_object_recovery_ = object_recovery; + return Status::OK(); + }, + [this](const TaskSpecification &spec) { + return this->did_queue_generator_resubmit_; + }, + [](const JobID &, const std::string &, const std::string &, double) { + return Status::OK(); + }, + /*max_lineage_bytes*/ 1024 * 1024, + *task_event_buffer_mock_.get(), + [](const ActorID &) -> std::shared_ptr { + return nullptr; + }, + mock_gcs_client_); + + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + retry_mgr.AddPendingTask(caller_address, spec, ""); + retry_mgr.MarkDependenciesResolved(spec.TaskId()); + retry_mgr.MarkTaskWaitingForExecution( + spec.TaskId(), NodeID::FromRandom(), WorkerID::FromRandom()); + + rpc::PushTaskReply reply; + auto return_object = reply.add_return_objects(); + auto return_id = spec.ReturnId(0); + return_object->set_object_id(return_id.Binary()); + return_object->set_in_plasma(true); + retry_mgr.CompletePendingTask(spec.TaskId(), reply, rpc::Address(), /*app_err=*/false); + + std::vector> results; + WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(0)); + RAY_CHECK_OK(local_store->Get({return_id}, 1, 0, ctx, false, &results)); + ASSERT_EQ(results.size(), 1); + ASSERT_TRUE(results[0]->IsInPlasmaError()); +} + +TEST_F(TaskManagerTest, DynamicReturn_PlasmaPutFailure_FailsTaskImmediately) { + bool first_fail_done = false; + auto local_ref_counter = std::make_shared( + addr_, + publisher_.get(), + subscriber_.get(), + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, + lineage_pinning_enabled_); + auto local_store = std::make_shared(io_context_.GetIoService(), + local_ref_counter.get()); + TaskManager dyn_mgr( + *local_store, + *local_ref_counter, + /*put_in_local_plasma_callback=*/ + [&first_fail_done](const RayObject &, const ObjectID &) { + if (!first_fail_done) { + first_fail_done = true; + return Status::IOError("broken pipe"); + } + return Status::OK(); + }, + [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + num_retries_++; + last_delay_ms_ = delay_ms; + last_object_recovery_ = object_recovery; + return Status::OK(); + }, + [this](const TaskSpecification &spec) { + return this->did_queue_generator_resubmit_; + }, + [](const JobID &, const std::string &, const std::string &, double) { + return Status::OK(); + }, + /*max_lineage_bytes*/ 1024 * 1024, + *task_event_buffer_mock_.get(), + [](const ActorID &) -> std::shared_ptr { + return nullptr; + }, + mock_gcs_client_); + + auto spec = CreateTaskHelper(1, {}, /*dynamic_returns=*/true); + dyn_mgr.AddPendingTask(addr_, spec, "", /*num_retries=*/0); + dyn_mgr.MarkDependenciesResolved(spec.TaskId()); + dyn_mgr.MarkTaskWaitingForExecution( + spec.TaskId(), NodeID::FromRandom(), WorkerID::FromRandom()); + + rpc::PushTaskReply reply; + auto generator_id = spec.ReturnId(0); + auto gen_obj = reply.add_return_objects(); + gen_obj->set_object_id(generator_id.Binary()); + auto data = GenerateRandomBuffer(); + gen_obj->set_data(data->Data(), data->Size()); + for (int i = 0; i < 2; i++) { + auto dyn_id = ObjectID::FromIndex(spec.TaskId(), i + 2); + auto dyn_obj = reply.add_dynamic_return_objects(); + dyn_obj->set_object_id(dyn_id.Binary()); + dyn_obj->set_data(data->Data(), data->Size()); + dyn_obj->set_in_plasma(true); + } + + dyn_mgr.CompletePendingTask(spec.TaskId(), reply, rpc::Address(), /*app_err=*/false); + ASSERT_FALSE(dyn_mgr.IsTaskPending(spec.TaskId())); +} + TEST_F(TaskManagerTest, TestObjectRefStreamCreateDelete) { /** * Test create and deletion of stream works. @@ -2706,6 +2892,74 @@ TEST_F(TaskManagerTest, TestTaskRetriedOnNodePreemption) { // Cleanup manager_.FailPendingTask(spec.TaskId(), rpc::ErrorType::WORKER_DIED); } + +class PlasmaShutdownRaceTest : public ::testing::Test { + public: + PlasmaShutdownRaceTest() : is_shutting_down_(false) {} + + Status SimulatePlasmaCallback(const ObjectID &object_id, bool simulate_failure) { + if (is_shutting_down_) { + skipped_operations_.insert(object_id); + return Status::OK(); + } + + if (simulate_failure) { + auto status = Status::IOError("Broken pipe"); + if (status.IsIOError() && is_shutting_down_) { + tolerated_operations_.insert(object_id); + return Status::OK(); + } else { + failed_operations_.insert(object_id); + return status; + } + } + + successful_operations_.insert(object_id); + return Status::OK(); + } + + void SetShuttingDown(bool shutting_down) { is_shutting_down_ = shutting_down; } + + protected: + bool is_shutting_down_; + std::unordered_set skipped_operations_; + std::unordered_set tolerated_operations_; + std::unordered_set successful_operations_; + std::unordered_set failed_operations_; +}; + +// Test plasma callback behavior during shutdown to prevent RAY_CHECK crashes +TEST_F(PlasmaShutdownRaceTest, PlasmaCallbackHandlesShutdownRaceCondition) { + auto object_id = ObjectID::FromRandom(); + + SetShuttingDown(false); + ASSERT_TRUE(SimulatePlasmaCallback(object_id, false).ok()); + ASSERT_EQ(successful_operations_.count(object_id), 1); + + auto object_id2 = ObjectID::FromRandom(); + auto status = SimulatePlasmaCallback(object_id2, true); + ASSERT_FALSE(status.ok()); + ASSERT_TRUE(status.IsIOError()); + ASSERT_EQ(failed_operations_.count(object_id2), 1); + + auto object_id3 = ObjectID::FromRandom(); + SetShuttingDown(true); + ASSERT_TRUE(SimulatePlasmaCallback(object_id3, false).ok()); + ASSERT_EQ(skipped_operations_.count(object_id3), 1); + + auto object_id4 = ObjectID::FromRandom(); + SetShuttingDown(false); + auto status4 = Status::IOError("Broken pipe"); + SetShuttingDown(true); + + if (status4.IsIOError() && is_shutting_down_) { + tolerated_operations_.insert(object_id4); + } else { + failed_operations_.insert(object_id4); + } + ASSERT_EQ(tolerated_operations_.count(object_id4), 1); +} + } // namespace core } // namespace ray From 275eafc765426d8c072e58e42463b68e885bc6a5 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 21 Aug 2025 11:05:14 -0700 Subject: [PATCH 0804/1566] [Serve] Resolve linux test_logging.py flakiness (#55751) `test_logging_disable_stdout` was flaky as the [log messages checked from the log file were not all existing when the check was done](https://buildkite.com/ray-project/postmerge/builds/12333#0198bece-690d-4517-9757-f1b5c13a597e/177-1416). So we allow more time for all the log messages to be written in the log file with reattempts using `wait_for_condition()`. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_logging.py | 71 ++++++++++++++------------ 1 file changed, 38 insertions(+), 33 deletions(-) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 01a551613a25..df6377a6acad 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -1172,39 +1172,44 @@ def disable_stdout(): httpx.get(url, timeout=None) # Check if each of the logs exist in Serve's log files. - from_serve_logger_check = False - from_print_check = False - from_error_check = False - direct_from_stdout = False - direct_from_stderr = False - multiline_log = False - for log_file in os.listdir(logs_dir): - if log_file.startswith("replica_default_disable_stdout"): - with open(logs_dir / log_file) as f: - for line in f: - structured_log = json.loads(line) - message = structured_log["message"] - exc_text = structured_log.get("exc_text", "") - if "from_serve_logger" in message: - from_serve_logger_check = True - elif "from_print" in message: - from_print_check = True - - # Error was logged from replica directly. - elif "from_error" in exc_text: - from_error_check = True - elif "direct_from_stdout" in message: - direct_from_stdout = True - elif "direct_from_stderr" in message: - direct_from_stderr = True - elif "this\nis\nmultiline\nlog\n" in message: - multiline_log = True - assert from_serve_logger_check - assert from_print_check - assert from_error_check - assert direct_from_stdout - assert direct_from_stderr - assert multiline_log + def _all_expected_logs_exist(): + from_serve_logger_check = False + from_print_check = False + from_error_check = False + direct_from_stdout = False + direct_from_stderr = False + multiline_log = False + + for log_file in os.listdir(logs_dir): + if log_file.startswith("replica_default_disable_stdout"): + with open(logs_dir / log_file) as f: + for line in f: + structured_log = json.loads(line) + message = structured_log["message"] + exc_text = structured_log.get("exc_text", "") + + if "from_serve_logger" in message: + from_serve_logger_check = True + elif "from_print" in message: + from_print_check = True + elif "from_error" in exc_text: + from_error_check = True + elif "direct_from_stdout" in message: + direct_from_stdout = True + elif "direct_from_stderr" in message: + direct_from_stderr = True + elif "this\nis\nmultiline\nlog\n" in message: + multiline_log = True + + assert from_serve_logger_check + assert from_print_check + assert from_error_check + assert direct_from_stdout + assert direct_from_stderr + assert multiline_log + return True + + wait_for_condition(_all_expected_logs_exist) @pytest.mark.skipif(sys.platform == "win32", reason="Fail to look for temp dir.") From 5105b065ef9188ab6da1ab159ae97fc0bf791550 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 21 Aug 2025 11:05:39 -0700 Subject: [PATCH 0805/1566] [Serve] Move test from test failure to proxy (#55743) For better fit, moving `test_http_proxy_failure` from `test_failure.py` to `test_proxy.py` --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/test_utils.py | 21 ++++++ .../serve/tests/test_controller_recovery.py | 15 ++-- python/ray/serve/tests/test_failure.py | 74 +++---------------- python/ray/serve/tests/test_proxy.py | 39 ++++++++++ 4 files changed, 78 insertions(+), 71 deletions(-) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index d742b1c8a2b0..c3c9142ab475 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -9,6 +9,7 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union import grpc +import httpx import requests from starlette.requests import Request @@ -16,6 +17,7 @@ import ray.util.state as state_api from ray import serve from ray._common.network_utils import build_address +from ray._common.test_utils import wait_for_condition from ray.actor import ActorHandle from ray.serve._private.client import ServeControllerClient from ray.serve._private.common import ( @@ -813,3 +815,22 @@ def get_application_url( def check_running(app_name: str = SERVE_DEFAULT_APP_NAME): assert serve.status().applications[app_name].status == ApplicationStatus.RUNNING return True + + +def request_with_retries(timeout=30, app_name=SERVE_DEFAULT_APP_NAME): + result_holder = {"resp": None} + + def _attempt() -> bool: + try: + url = get_application_url("HTTP", app_name=app_name) + result_holder["resp"] = httpx.get(url, timeout=timeout) + return True + except (httpx.RequestError, IndexError): + return False + + try: + wait_for_condition(_attempt, timeout=timeout) + return result_holder["resp"] + except RuntimeError as e: + # Preserve previous API by raising TimeoutError on expiry + raise TimeoutError from e diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index b5cbf0af1637..493931872ea9 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -19,9 +19,12 @@ SERVE_NAMESPACE, SERVE_PROXY_NAME, ) -from ray.serve._private.test_utils import check_replica_counts, get_application_url +from ray.serve._private.test_utils import ( + check_replica_counts, + get_application_url, + request_with_retries, +) from ray.serve.schema import LoggingConfig, ServeDeploySchema -from ray.serve.tests.test_failure import request_with_retries from ray.util.state import list_actors @@ -51,9 +54,7 @@ def __call__(self, *args): serve.run(TransientConstructorFailureDeployment.bind(), name="app") for _ in range(10): - response = request_with_retries( - "/recover_start_from_replica_actor_names/", timeout=30, app_name="app" - ) + response = request_with_retries(timeout=30, app_name="app") assert response.text == "hii" # Assert 2 replicas are running in deployment deployment after partially # successful deploy() call with transient error @@ -96,9 +97,7 @@ def __call__(self, *args): lambda: get_application_url("HTTP", "app", use_localhost=True) is not None ) for _ in range(10): - response = request_with_retries( - "/recover_start_from_replica_actor_names/", timeout=30, app_name="app" - ) + response = request_with_retries(timeout=30, app_name="app") assert response.text == "hii" # Ensure recovered replica names are the same diff --git a/python/ray/serve/tests/test_failure.py b/python/ray/serve/tests/test_failure.py index 2df70aef6a1f..c2e1bc548495 100644 --- a/python/ray/serve/tests/test_failure.py +++ b/python/ray/serve/tests/test_failure.py @@ -16,26 +16,12 @@ from ray.serve._private.test_utils import ( Counter, check_num_replicas_eq, - get_application_url, get_deployment_details, + request_with_retries, tlog, ) -def request_with_retries(endpoint, timeout=30, app_name=SERVE_DEFAULT_APP_NAME): - start = time.time() - while True: - try: - return httpx.get( - get_application_url("HTTP", app_name=app_name) + endpoint, - timeout=timeout, - ) - except (httpx.RequestError, IndexError): - if time.time() - start > timeout: - raise TimeoutError - time.sleep(0.1) - - @pytest.mark.skip(reason="Consistently failing.") def test_controller_failure(serve_instance): @serve.deployment(name="controller_failure") @@ -44,16 +30,16 @@ def function(_): serve.run(function.bind()) - assert request_with_retries("/controller_failure/", timeout=1).text == "hello1" + assert request_with_retries(timeout=1).text == "hello1" for _ in range(10): - response = request_with_retries("/controller_failure/", timeout=30) + response = request_with_retries(timeout=30) assert response.text == "hello1" ray.kill(serve.context._global_client._controller, no_restart=False) for _ in range(10): - response = request_with_retries("/controller_failure/", timeout=30) + response = request_with_retries(timeout=30) assert response.text == "hello1" def function2(_): @@ -64,7 +50,7 @@ def function2(_): serve.run(function.options(func_or_class=function2).bind()) def check_controller_failure(): - response = request_with_retries("/controller_failure/", timeout=30) + response = request_with_retries(timeout=30) return response.text == "hello2" wait_for_condition(check_controller_failure) @@ -78,50 +64,12 @@ def function3(_): ray.kill(serve.context._global_client._controller, no_restart=False) for _ in range(10): - response = request_with_retries("/controller_failure/", timeout=30) + response = request_with_retries(timeout=30) assert response.text == "hello2" - response = request_with_retries("/controller_failure_2/", timeout=30) + response = request_with_retries(timeout=30) assert response.text == "hello3" -def _kill_http_proxies(): - http_proxies = ray.get( - serve.context._global_client._controller.get_proxies.remote() - ) - for http_proxy in http_proxies.values(): - ray.kill(http_proxy, no_restart=False) - - -def test_http_proxy_failure(serve_instance): - @serve.deployment(name="proxy_failure") - def function(_): - return "hello1" - - serve.run(function.bind()) - - assert request_with_retries("/proxy_failure/", timeout=1.0).text == "hello1" - - for _ in range(10): - response = request_with_retries("/proxy_failure/", timeout=30) - assert response.text == "hello1" - - _kill_http_proxies() - - def function2(_): - return "hello2" - - serve.run(function.options(func_or_class=function2).bind()) - - def check_new(): - for _ in range(10): - response = request_with_retries("/proxy_failure/", timeout=30) - if response.text != "hello2": - return False - return True - - wait_for_condition(check_new) - - def _get_worker_handles(deployment_name: str, app_name: str = SERVE_DEFAULT_APP_NAME): id = DeploymentID(name=deployment_name, app_name=app_name) controller = serve.context._global_client._controller @@ -141,7 +89,7 @@ def __call__(self, *args): serve.run(Worker1.bind()) # Get the PID of the worker. - old_pid = request_with_retries("/worker_failure/", timeout=1).text + old_pid = request_with_retries(timeout=1).text # Kill the worker. handles = _get_worker_handles("worker_failure") @@ -151,7 +99,7 @@ def __call__(self, *args): # Wait until the worker is killed and a one is started. start = time.time() while time.time() - start < 30: - response = request_with_retries("/worker_failure/", timeout=30) + response = request_with_retries(timeout=30) if response.text != old_pid: break else: @@ -192,7 +140,7 @@ def __call__(self, *args): start = time.time() while time.time() - start < 30: time.sleep(0.1) - response = request_with_retries("/replica_failure/", timeout=1).text + response = request_with_retries(timeout=1).text assert response in ["1", "2"] responses.add(response) if len(responses) > 1: @@ -211,7 +159,7 @@ def __call__(self, *args): try: # The timeout needs to be small here because the request to # the restarting worker will hang. - request_with_retries("/replica_failure/", timeout=0.1) + request_with_retries(timeout=0.1) break except TimeoutError: time.sleep(0.1) diff --git a/python/ray/serve/tests/test_proxy.py b/python/ray/serve/tests/test_proxy.py index 6393194fc53b..fb7e38c1a743 100644 --- a/python/ray/serve/tests/test_proxy.py +++ b/python/ray/serve/tests/test_proxy.py @@ -16,6 +16,7 @@ from ray.serve._private.test_utils import ( ping_grpc_healthz, ping_grpc_list_applications, + request_with_retries, ) from ray.serve.config import gRPCOptions from ray.serve.generated import serve_pb2 @@ -224,5 +225,43 @@ def check_replicas_on_worker_nodes(): ping_grpc_healthz(worker_node_channel, test_draining=True) +def _kill_http_proxies(): + http_proxies = ray.get( + serve.context._global_client._controller.get_proxies.remote() + ) + for http_proxy in http_proxies.values(): + ray.kill(http_proxy, no_restart=False) + + +def test_http_proxy_failure(serve_instance): + @serve.deployment(name="proxy_failure") + def function(_): + return "hello1" + + serve.run(function.bind()) + + assert request_with_retries(timeout=1.0).text == "hello1" + + for _ in range(10): + response = request_with_retries(timeout=30) + assert response.text == "hello1" + + _kill_http_proxies() + + def function2(_): + return "hello2" + + serve.run(function.options(func_or_class=function2).bind()) + + def check_new(): + for _ in range(10): + response = request_with_retries(timeout=30) + if response.text != "hello2": + return False + return True + + wait_for_condition(check_new) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From b82a7a43b2c3056cda606f7444ef9d8813de5fec Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 21 Aug 2025 14:43:41 -0700 Subject: [PATCH 0806/1566] [core] improve the robustness of metric reporting (#55152) **Context** This PR is related to the Ray metrics infrastructure. In Ray, each node runs a centralized process called the DashboardAgent, which acts as a gRPC server. Other processes on the same node send their per-process metrics to this server. The DashboardAgent then aggregates these metrics and exports them to Prometheus. The DashboardAgent is spawned by the raylet. **Problem** Currently, the `GCS` server also depends on the DashboardAgent to export its internal metrics. However, the DashboardAgent is often spawned significantly later than the GCS. This leads to failed RPC requests from GCS to the DashboardAgent, resulting in dropped metrics and noisy error logs in GCS. The same issue in theory also applies to `raylet` and `core_worker`, even though the initialization gap is not observed during my testing, likely because the gap is small. **Solution** To address this, this PR introduces an `InitExporter` function inside the `MetricsAgentClient` that repeatedly retries the connection to the DashboardAgent until it succeeds. Only after a successful connection is established will GCS/raylet/core-worker begin sending metrics. To check if the gRPC server in DashboardAgent is ready, the implementation creates a new `HealthCheck` endpoint on the server side of the `MetricsAgent`. I fixed this only for the OpenTelemetry-backed infrastructure. Addressing it for OpenCensus has complication (it doesn't lazily store metrics before init) so I don't bother spend more efforts for something that will be soon deprecated. Test: - CI - `test_metrics_agent.py` is a comprehensive test that provides confidence everything is working properly. Run this test locally and check that errors are no longer observed inside gcs log. Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../modules/reporter/reporter_agent.py | 11 +++ src/ray/core_worker/BUILD.bazel | 1 + src/ray/core_worker/core_worker_process.cc | 9 ++ src/ray/core_worker/core_worker_process.h | 4 + src/ray/gcs/gcs_server/BUILD.bazel | 1 + src/ray/gcs/gcs_server/gcs_server.cc | 11 +++ src/ray/gcs/gcs_server/gcs_server.h | 4 + src/ray/gcs/gcs_server/gcs_server_main.cc | 1 + src/ray/protobuf/reporter.proto | 6 ++ src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/main.cc | 8 ++ src/ray/rpc/BUILD.bazel | 1 + src/ray/rpc/metrics_agent_client.cc | 69 ++++++++++++++ src/ray/rpc/metrics_agent_client.h | 55 +++++++++-- src/ray/rpc/tests/BUILD.bazel | 13 +++ .../rpc/tests/metrics_agent_client_test.cc | 94 +++++++++++++++++++ src/ray/stats/metric_exporter.cc | 23 +++-- src/ray/stats/metric_exporter.h | 1 + src/ray/stats/stats.h | 29 ++++-- .../stats/tests/metric_exporter_grpc_test.cc | 6 ++ 20 files changed, 325 insertions(+), 23 deletions(-) create mode 100644 src/ray/rpc/metrics_agent_client.cc create mode 100644 src/ray/rpc/tests/metrics_agent_client_test.cc diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 16355729011f..ea842e8eacc7 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -534,6 +534,17 @@ async def MemoryProfiling(self, request, context): output=output, success=success, warning=warning ) + async def HealthCheck( + self, + _request: reporter_pb2.HealthCheckRequest, + _context: ServicerContext, + ) -> reporter_pb2.HealthCheckReply: + """This is a health check endpoint for the reporter agent. + + It is used to check if the reporter agent is ready to receive requests. + """ + return reporter_pb2.HealthCheckReply() + async def ReportOCMetrics(self, request, context): # Do nothing if metrics collection is disabled. if self._metrics_collection_disabled: diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 388e6b3a9d8b..428ab30eace4 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -45,6 +45,7 @@ ray_cc_library( "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:core_worker_server", + "//src/ray/rpc:metrics_agent_client", "//src/ray/stats:stats_lib", "//src/ray/util:container_util", "//src/ray/util:env", diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 783a184ca09f..c870835c47bd 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -786,6 +786,15 @@ CoreWorkerProcessImpl::CoreWorkerProcessImpl(const CoreWorkerOptions &options) auto worker = CreateCoreWorker(options_, worker_id_); auto write_locked = core_worker_.LockForWrite(); write_locked.Get() = worker; + // Initialize metrics agent client. + metrics_agent_client_ = std::make_unique( + "127.0.0.1", + options_.metrics_agent_port, + io_service_, + *write_locked.Get()->client_call_manager_); + metrics_agent_client_->WaitForServerReady([this](const Status &server_status) { + stats::InitOpenTelemetryExporter(options_.metrics_agent_port, server_status); + }); } } diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index 5a6eb569b0ab..f516315e3aa2 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -19,6 +19,7 @@ #include #include "ray/core_worker/core_worker_options.h" +#include "ray/rpc/metrics_agent_client.h" #include "ray/util/mutex_protected.h" namespace ray { @@ -177,6 +178,9 @@ class CoreWorkerProcessImpl { /// The proxy service handler that routes the RPC calls to the core worker. std::unique_ptr service_handler_; + + /// The client to export metrics to the metrics agent. + std::unique_ptr metrics_agent_client_; }; } // namespace core } // namespace ray diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 9e482b9736bc..f81fbdcb7479 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -242,6 +242,7 @@ ray_cc_library( "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:gcs_server", + "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 90c61aa24da7..95d0a52496e3 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -35,6 +35,7 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/gcs/store_client/store_client.h" #include "ray/pubsub/publisher.h" +#include "ray/stats/stats.h" #include "ray/util/network_util.h" namespace ray { @@ -155,6 +156,11 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, /*publisher_id=*/NodeID::FromRandom()); gcs_publisher_ = std::make_unique(std::move(inner_publisher)); + metrics_agent_client_ = std::make_unique( + "127.0.0.1", + config_.metrics_agent_port, + io_context_provider_.GetDefaultIOContext(), + client_call_manager_); } GcsServer::~GcsServer() { Stop(); } @@ -268,6 +274,11 @@ void GcsServer::DoStart(const GcsInitData &gcs_init_data) { // Init usage stats client. InitUsageStatsClient(); + // Init OpenTelemetry exporter. + metrics_agent_client_->WaitForServerReady([this](const Status &server_status) { + stats::InitOpenTelemetryExporter(config_.metrics_agent_port, server_status); + }); + // Start RPC server when all tables have finished loading initial // data. rpc_server_.Run(); diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 491300996a83..85a02d75f8b2 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -41,6 +41,7 @@ #include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" #include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/rpc/metrics_agent_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" @@ -55,6 +56,7 @@ struct GcsServerConfig { std::string grpc_server_name = "GcsServer"; uint16_t grpc_server_port = 0; uint16_t grpc_server_thread_num = 1; + uint16_t metrics_agent_port = 0; std::string redis_username; std::string redis_password; std::string redis_address; @@ -294,6 +296,8 @@ class GcsServer { int task_pending_schedule_detected_ = 0; /// Throttler for global gc std::unique_ptr global_gc_throttler_; + /// Client to call a metrics agent gRPC server. + std::unique_ptr metrics_agent_client_; }; } // namespace gcs diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 53f95d4f402a..7d7fa32f635e 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -155,6 +155,7 @@ int main(int argc, char *argv[]) { gcs_server_config.redis_username = redis_username; gcs_server_config.retry_redis = retry_redis; gcs_server_config.node_ip_address = node_ip_address; + gcs_server_config.metrics_agent_port = metrics_agent_port; gcs_server_config.log_dir = log_dir; gcs_server_config.raylet_config_list = config_list; gcs_server_config.session_name = session_name; diff --git a/src/ray/protobuf/reporter.proto b/src/ray/protobuf/reporter.proto index 552b5a95a9c4..3397c3da1c60 100644 --- a/src/ray/protobuf/reporter.proto +++ b/src/ray/protobuf/reporter.proto @@ -83,6 +83,10 @@ message ReportOCMetricsRequest { message ReportOCMetricsReply {} +message HealthCheckRequest {} + +message HealthCheckReply {} + // Service for communicating with the reporter agent module on a remote node. service ReporterService { // Report OpenCensus metrics to the local metrics agent. @@ -91,6 +95,8 @@ service ReporterService { rpc CpuProfiling(CpuProfilingRequest) returns (CpuProfilingReply); rpc GpuProfiling(GpuProfilingRequest) returns (GpuProfilingReply); rpc MemoryProfiling(MemoryProfilingRequest) returns (MemoryProfilingReply); + // Health check to validate whether the service is running + rpc HealthCheck(HealthCheckRequest) returns (HealthCheckReply); } message StreamLogRequest { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index e2601e02ba74..f5305944d209 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -285,6 +285,7 @@ ray_cc_binary( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/rpc:metrics_agent_client", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:event", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 04cfe875968c..3af97a4c55d5 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -285,6 +285,8 @@ int main(int argc, char *argv[]) { /// A manager to resolve objects needed by queued tasks and workers that /// called `ray.get` or `ray.wait`. std::unique_ptr dependency_manager; + /// The client to export metrics to the metrics agent. + std::unique_ptr metrics_agent_client; /// Map of workers leased out to clients. absl::flat_hash_map> leased_workers; @@ -827,6 +829,12 @@ int main(int argc, char *argv[]) { {ray::stats::NodeAddressKey, node_ip_address}, {ray::stats::SessionNameKey, session_name}}; ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); + metrics_agent_client = std::make_unique( + "127.0.0.1", metrics_agent_port, main_service, *client_call_manager); + metrics_agent_client->WaitForServerReady( + [metrics_agent_port](const ray::Status &server_status) { + ray::stats::InitOpenTelemetryExporter(metrics_agent_port, server_status); + }); // Initialize event framework. This should be done after the node manager is // initialized. diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 776a24e80abd..41e9e92f0121 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -51,6 +51,7 @@ ray_cc_library( ray_cc_library( name = "metrics_agent_client", + srcs = ["metrics_agent_client.cc"], hdrs = ["metrics_agent_client.h"], visibility = ["//visibility:public"], deps = [ diff --git a/src/ray/rpc/metrics_agent_client.cc b/src/ray/rpc/metrics_agent_client.cc new file mode 100644 index 000000000000..29dc579af14c --- /dev/null +++ b/src/ray/rpc/metrics_agent_client.cc @@ -0,0 +1,69 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/rpc/metrics_agent_client.h" + +#include +#include + +#include "ray/util/logging.h" + +namespace ray { +namespace rpc { + +void MetricsAgentClientImpl::WaitForServerReady( + std::function init_exporter_fn) { + WaitForServerReadyWithRetry( + init_exporter_fn, 0, kMetricAgentInitMaxRetries, kMetricAgentInitRetryDelayMs); +} + +void MetricsAgentClientImpl::WaitForServerReadyWithRetry( + std::function init_exporter_fn, + int retry_count, + int max_retry, + int retry_interval_ms) { + if (exporter_initialized_) { + return; + } + + RAY_LOG(INFO) << "Initializing exporter ..."; + HealthCheck(rpc::HealthCheckRequest(), + [this, init_exporter_fn](auto &status, auto &&reply) { + if (status.ok() && !exporter_initialized_) { + init_exporter_fn(status); + exporter_initialized_ = true; + RAY_LOG(INFO) << "Exporter initialized."; + } + }); + if (retry_count >= max_retry) { + init_exporter_fn(Status::RpcError("The metrics agent server is not ready.", 14)); + return; + } + retry_count++; + retry_timer_->expires_after(std::chrono::milliseconds(retry_interval_ms)); + retry_timer_->async_wait( + [this, init_exporter_fn, retry_count, max_retry, retry_interval_ms]( + const boost::system::error_code &error) { + if (!error) { + WaitForServerReadyWithRetry( + init_exporter_fn, retry_count, max_retry, retry_interval_ms); + } else { + RAY_LOG(ERROR) << "Failed to initialize exporter. Data will not be exported to " + "the metrics agent."; + } + }); +} + +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/metrics_agent_client.h b/src/ray/rpc/metrics_agent_client.h index 9af5cf290c80..c5a6085d23a1 100644 --- a/src/ray/rpc/metrics_agent_client.h +++ b/src/ray/rpc/metrics_agent_client.h @@ -30,6 +30,11 @@ namespace ray { namespace rpc { +/// The maximum number of retries to wait for the server to be ready. +/// This setting allows for 30 seconds of retries. +constexpr int kMetricAgentInitMaxRetries = 30; +constexpr int kMetricAgentInitRetryDelayMs = 1000; + /// Client used for communicating with a remote node manager server. class MetricsAgentClient { public: @@ -40,6 +45,20 @@ class MetricsAgentClient { /// \param[in] request The request message. /// \param[in] callback The callback function that handles reply. VOID_RPC_CLIENT_VIRTUAL_METHOD_DECL(ReporterService, ReportOCMetrics) + + /// Send a health check request to the metrics agent. + /// + /// \param[in] request The request message. + /// \param[in] callback The callback function that handles reply. + VOID_RPC_CLIENT_VIRTUAL_METHOD_DECL(ReporterService, HealthCheck) + + /// Initialize an exporter (e.g. metrics, events exporter). + /// + /// This function ensures that the server is ready to receive metrics before + /// initializing the exporter. If the server is not ready, it will retry for + /// a number of times. + virtual void WaitForServerReady( + std::function init_exporter_fn) = 0; }; class MetricsAgentClientImpl : public MetricsAgentClient { @@ -48,15 +67,17 @@ class MetricsAgentClientImpl : public MetricsAgentClient { /// /// \param[in] address Address of the metrics agent server. /// \param[in] port Port of the metrics agent server. + /// \param[in] io_service The `instrumented_io_context` used for managing requests. /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. MetricsAgentClientImpl(const std::string &address, const int port, - instrumented_io_context &io_service) - : client_call_manager_(io_service, /*record_stats=*/true) { + instrumented_io_context &io_service, + rpc::ClientCallManager &client_call_manager) { RAY_LOG(DEBUG) << "Initiate the metrics client of address:" << BuildAddress(address, port); - grpc_client_ = std::make_unique>( - address, port, client_call_manager_); + grpc_client_ = + std::make_unique>(address, port, client_call_manager); + retry_timer_ = std::make_unique(io_service); }; VOID_RPC_CLIENT_METHOD(ReporterService, @@ -65,11 +86,33 @@ class MetricsAgentClientImpl : public MetricsAgentClient { /*method_timeout_ms*/ -1, override) + VOID_RPC_CLIENT_METHOD(ReporterService, + HealthCheck, + grpc_client_, + /*method_timeout_ms*/ -1, + override) + + /// Wait for the server to be ready. Invokes the callback with the final readiness + /// status of the server. + void WaitForServerReady(std::function init_exporter_fn) override; + private: - /// Call Manager for gRPC client. - rpc::ClientCallManager client_call_manager_; /// The RPC client. std::unique_ptr> grpc_client_; + /// Timer for retrying to initialize the OpenTelemetry exporter. + std::unique_ptr retry_timer_; + /// Whether the exporter is initialized. + bool exporter_initialized_ = false; + /// Wait for the server to be ready with a retry count. Invokes the callback + /// with the status of the server. This is a helper function for WaitForServerReady. + void WaitForServerReadyWithRetry(std::function init_exporter_fn, + int retry_count, + int max_retry, + int retry_interval_ms); + + friend class MetricsAgentClientTest; + FRIEND_TEST(MetricsAgentClientTest, WaitForServerReadyWithRetrySuccess); + FRIEND_TEST(MetricsAgentClientTest, WaitForServerReadyWithRetryFailure); }; } // namespace rpc diff --git a/src/ray/rpc/tests/BUILD.bazel b/src/ray/rpc/tests/BUILD.bazel index 8bd523f17c97..d2803b88c651 100644 --- a/src/ray/rpc/tests/BUILD.bazel +++ b/src/ray/rpc/tests/BUILD.bazel @@ -41,3 +41,16 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "metrics_agent_client_test", + size = "small", + srcs = [ + "metrics_agent_client_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/rpc:metrics_agent_client", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/rpc/tests/metrics_agent_client_test.cc b/src/ray/rpc/tests/metrics_agent_client_test.cc new file mode 100644 index 000000000000..114252116794 --- /dev/null +++ b/src/ray/rpc/tests/metrics_agent_client_test.cc @@ -0,0 +1,94 @@ +// Copyright 2024 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/rpc/metrics_agent_client.h" + +#include +#include + +#include "gmock/gmock.h" +#include "gtest/gtest.h" + +namespace ray { +namespace rpc { + +constexpr int kCountToReturnOk = 3; +constexpr int kRetryIntervalMs = 100; + +class TestableMetricsAgentClientImpl : public MetricsAgentClientImpl { + public: + TestableMetricsAgentClientImpl(const std::string &address, + const int port, + instrumented_io_context &io_service, + rpc::ClientCallManager &client_call_manager, + int count_to_return_ok) + : MetricsAgentClientImpl(address, port, io_service, client_call_manager), + count_to_return_ok_(count_to_return_ok) {} + + // HealthCheck is a macro+template method that supposes to invoke the callback upon + // the completion of an RPC call. We override it to invoke the callback directly + // without the RPC call. Ideally we would create a GrpcClientMock that overrides + // the RPC call. However, currently the RPC call is a template method, which cannot + // be overridden. + void HealthCheck(const HealthCheckRequest &request, + const ClientCallback &callback) override { + health_check_count_++; + if (health_check_count_ <= count_to_return_ok_) { + callback(Status::RpcError("Failed to connect to the metrics agent server.", 14), + HealthCheckReply()); + } else { + callback(Status::OK(), HealthCheckReply()); + } + } + + private: + int count_to_return_ok_; + int health_check_count_ = 1; +}; + +class MetricsAgentClientTest : public ::testing::Test { + protected: + void SetUp() override { + client_call_manager_ = std::make_unique(io_service_, true); + client_ = std::make_unique( + "127.0.0.1", 8000, io_service_, *client_call_manager_, kCountToReturnOk); + } + + instrumented_io_context io_service_; + std::unique_ptr client_; + std::unique_ptr client_call_manager_; +}; + +TEST_F(MetricsAgentClientTest, WaitForServerReadyWithRetrySuccess) { + client_->WaitForServerReadyWithRetry( + [](const Status &server_status) { ASSERT_TRUE(server_status.ok()); }, + 0, + kCountToReturnOk, + kRetryIntervalMs); + io_service_.run_for(std::chrono::milliseconds(kCountToReturnOk * kRetryIntervalMs)); + ASSERT_TRUE(client_->exporter_initialized_); +} + +TEST_F(MetricsAgentClientTest, WaitForServerReadyWithRetryFailure) { + client_->WaitForServerReadyWithRetry( + [](const Status &server_status) { ASSERT_FALSE(server_status.ok()); }, + 0, + kCountToReturnOk - 2, + kRetryIntervalMs); + io_service_.run_for(std::chrono::milliseconds(kCountToReturnOk * kRetryIntervalMs)); + ASSERT_FALSE(client_->exporter_initialized_); +} + +} // namespace rpc +} // namespace ray diff --git a/src/ray/stats/metric_exporter.cc b/src/ray/stats/metric_exporter.cc index 5a3762ab45d0..76bc63abe4d8 100644 --- a/src/ray/stats/metric_exporter.cc +++ b/src/ray/stats/metric_exporter.cc @@ -30,26 +30,31 @@ OpenCensusProtoExporter::OpenCensusProtoExporter(const int port, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size) - : OpenCensusProtoExporter( - std::make_shared(address, port, io_service), - worker_id, - report_batch_size, - max_grpc_payload_size) {} + : client_call_manager_( + std::make_unique(io_service, /*record_stats=*/true)), + worker_id_(worker_id), + report_batch_size_(report_batch_size), + // To make sure we're not overflowing Agent's set gRPC max message size, we will be + // tracking target payload binary size and make sure it stays w/in 95% of the + // threshold + proto_payload_size_threshold_bytes_((size_t)(max_grpc_payload_size * .95f)) { + absl::MutexLock l(&mu_); + client_ = std::make_shared( + address, port, io_service, *client_call_manager_); +} OpenCensusProtoExporter::OpenCensusProtoExporter( std::shared_ptr agent_client, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size) + : worker_id_(worker_id), report_batch_size_(report_batch_size), - // To make sure we're not overflowing Agent's set gRPC max message size, we will be - // tracking target payload binary size and make sure it stays w/in 95% of the - // threshold proto_payload_size_threshold_bytes_((size_t)(max_grpc_payload_size * .95f)) { absl::MutexLock l(&mu_); client_ = std::move(agent_client); -}; +} /// Hack. We want to add GlobalTags to all our metrics, but gRPC OpenCencus plugin is not /// configurable at all so we don't have chance to add our own tags. We use this hack to diff --git a/src/ray/stats/metric_exporter.h b/src/ray/stats/metric_exporter.h index b05444cf6370..c1ea7197823c 100644 --- a/src/ray/stats/metric_exporter.h +++ b/src/ray/stats/metric_exporter.h @@ -105,6 +105,7 @@ class OpenCensusProtoExporter final : public opencensus::stats::StatsExporter::H /// Lock to protect the client mutable absl::Mutex mu_; /// Client to call a metrics agent gRPC server. + std::unique_ptr client_call_manager_; std::shared_ptr client_ ABSL_GUARDED_BY(&mu_); /// The worker ID of the current component. WorkerID worker_id_; diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index af952e5b3ccc..9347b70bfad2 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -90,14 +90,6 @@ static inline void Init( absl::Milliseconds(std::max(RayConfig::instance().metrics_report_interval_ms() / 2, static_cast(500)))); // Register the metric recorder. - if (RayConfig::instance().enable_open_telemetry()) { - OpenTelemetryMetricRecorder::GetInstance().RegisterGrpcExporter( - BuildAddress("127.0.0.1", metrics_agent_port), - std::chrono::milliseconds( - absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), - std::chrono::milliseconds( - absl::ToInt64Milliseconds(StatsConfig::instance().GetHarvestInterval()))); - } if (should_enable_open_census()) { metrics_io_service_pool = std::make_shared(1); metrics_io_service_pool->Run(); @@ -122,6 +114,27 @@ static inline void Init( StatsConfig::instance().SetIsInitialized(true); } +static inline void InitOpenTelemetryExporter(const int metrics_agent_port, + const Status &metrics_agent_server_status) { + if (!RayConfig::instance().enable_open_telemetry()) { + return; + } + if (!metrics_agent_server_status.ok()) { + RAY_LOG(ERROR) << "Failed to initialize OpenTelemetry exporter. Data will not be " + "exported to the " + << "metrics agent. Server status: " << metrics_agent_server_status; + return; + } + OpenTelemetryMetricRecorder::GetInstance().RegisterGrpcExporter( + /*endpoint=*/std::string("127.0.0.1:") + std::to_string(metrics_agent_port), + /*interval=*/ + std::chrono::milliseconds( + absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), + /*timeout=*/ + std::chrono::milliseconds( + absl::ToInt64Milliseconds(StatsConfig::instance().GetHarvestInterval()))); +} + /// Shutdown the initialized stats library. /// This cleans up various threads and metadata for stats library. static inline void Shutdown() { diff --git a/src/ray/stats/tests/metric_exporter_grpc_test.cc b/src/ray/stats/tests/metric_exporter_grpc_test.cc index a823a863ebd3..a7553c88f792 100644 --- a/src/ray/stats/tests/metric_exporter_grpc_test.cc +++ b/src/ray/stats/tests/metric_exporter_grpc_test.cc @@ -57,6 +57,12 @@ class MockMetricsAgentClient : public rpc::MetricsAgentClient { callback(Status::OK(), {}); } + void HealthCheck(const rpc::HealthCheckRequest &request, + const rpc::ClientCallback &callback) override {} + + void WaitForServerReady(std::function init_exporter_fn) override { + } + const std::vector &CollectedReportOCMetricsRequests() const { return reportOCMetricsRequests_; From 3a6fc541c3268b2f2593b062a77faa7f33c98e90 Mon Sep 17 00:00:00 2001 From: Alima Azamat <92766804+alimaazamat@users.noreply.github.com> Date: Thu, 21 Aug 2025 14:47:44 -0700 Subject: [PATCH 0807/1566] [Core][Azure] If azure cluster launcher keypair doesnt exist create one automatically + doc typo fix (#54596) Signed-off-by: alimaazamat Signed-off-by: Douglas Strodtman --- .../user-guides/launching-clusters/azure.md | 72 +++++++----- .../ray/autoscaler/_private/_azure/config.py | 111 ++++++++++++++++-- python/ray/autoscaler/_private/gcp/config.py | 57 ++------- python/ray/autoscaler/_private/util.py | 44 +++++++ python/ray/autoscaler/azure/defaults.yaml | 10 +- python/ray/autoscaler/azure/example-full.yaml | 11 +- .../autoscaler/azure/example-gpu-docker.yaml | 10 +- .../ray/autoscaler/azure/example-minimal.yaml | 13 +- 8 files changed, 217 insertions(+), 111 deletions(-) diff --git a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md index 7fb6b4402ef2..638b66dfb740 100644 --- a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md +++ b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md @@ -60,38 +60,46 @@ Download the reference example locally: wget https://raw.githubusercontent.com/ray-project/ray/master/python/ray/autoscaler/azure/example-full.yaml ``` -To connect to the provisioned head node VM, you need to ensure that you properly configure the `auth.ssh_private_key`, `auth.ssh_public_key`, and `file_mounts` configuration values to point to file paths on your local environment that have a valid key pair. By default the configuration assumes `$HOME/.ssh/id_rsa` and `$HOME/.ssh/id_rsa.pub`. If you have a different set of key pair files you want to use (for example a `ed25519` pair), update the `example-full.yaml` configurations to use them. - -For example a custom-configured `example-full.yaml` file might look like the following if you're using a `ed25519` key pair: - -```sh -$ git diff example-full.yaml -diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml -index b25f1b07f1..c65fb77219 100644 ---- a/python/ray/autoscaler/azure/example-full.yaml -+++ b/python/ray/autoscaler/azure/example-full.yaml -@@ -61,9 +61,9 @@ auth: - ssh_user: ubuntu - # You must specify paths to matching private and public key pair files. - # Use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair. -- ssh_private_key: ~/.ssh/id_rsa -+ ssh_private_key: ~/.ssh/id_ed25519 - # Changes to this should match what is specified in file_mounts. -- ssh_public_key: ~/.ssh/id_rsa.pub -+ ssh_public_key: ~/.ssh/id_ed25519.pub - - # You can make more specific customization to node configurations can be made using the ARM template azure-vm-template.json file. - # See this documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines -@@ -128,7 +128,7 @@ head_node_type: ray.head.default - file_mounts: { - # "/path1/on/remote/machine": "/path1/on/local/machine", - # "/path2/on/remote/machine": "/path2/on/local/machine", -- "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} -+ "~/.ssh/id_ed25519.pub": "~/.ssh/id_ed25519.pub"} - - # Files or directories to copy from the head node to the worker nodes. The format is a - # list of paths. Ray copies the same path on the head node to the worker node. - ``` + + +##### Automatic SSH Key Generation + +To connect to the provisioned head node VM, Ray has automatic SSH Key Generation if none are specified in the config. This is the simplest approach and requires no manual key management. + +The default configuration in `example-full.yaml` uses automatic key generation: + +```yaml +auth: + ssh_user: ubuntu + # SSH keys are auto-generated if not specified + # Uncomment and specify custom paths if you want to use existing keys: + # ssh_private_key: /path/to/your/key.pem + # ssh_public_key: /path/to/your/key.pub +``` + +##### (Optional) Manual SSH Key Configuration + +If you prefer to use your own existing SSH keys, uncomment and specify both of the key paths in the `auth` section. + +For example, to use an existing `ed25519` key pair: + +```yaml +auth: + ssh_user: ubuntu + ssh_private_key: ~/.ssh/id_ed25519 + ssh_public_key: ~/.ssh/id_ed25519.pub +``` + +Or for RSA keys: + +```yaml +auth: + ssh_user: ubuntu + ssh_private_key: ~/.ssh/id_rsa + ssh_public_key: ~/.ssh/id_rsa.pub +``` + +Both methods inject the public key directly into the VM's `~/.ssh/authorized_keys` via Azure ARM templates. #### Launch the Ray cluster on Azure diff --git a/python/ray/autoscaler/_private/_azure/config.py b/python/ray/autoscaler/_private/_azure/config.py index 5320b1698ec3..1c2b1a91a90f 100644 --- a/python/ray/autoscaler/_private/_azure/config.py +++ b/python/ray/autoscaler/_private/_azure/config.py @@ -1,5 +1,6 @@ import json import logging +import os import random from hashlib import sha256 from pathlib import Path @@ -10,6 +11,12 @@ from azure.mgmt.resource import ResourceManagementClient from azure.mgmt.resource.resources.models import DeploymentMode +from ray.autoscaler._private.util import ( + generate_rsa_key_pair, + generate_ssh_key_name, + generate_ssh_key_paths, +) + UNIQUE_ID_LEN = 4 logger = logging.getLogger(__name__) @@ -218,22 +225,104 @@ def _configure_resource_group(config): def _configure_key_pair(config): + """ + Configure SSH keypair. Use user specified custom paths, otherwise, + generate Ray-specific keypair in this format: "ray-autoscaler_azure_{region}_{resource_group}_{ssh_user}_{index}" + """ ssh_user = config["auth"]["ssh_user"] public_key = None - # search if the keys exist - for key_type in ["ssh_private_key", "ssh_public_key"]: - try: - key_path = Path(config["auth"][key_type]).expanduser() - except KeyError: - raise Exception("Config must define {}".format(key_type)) - except TypeError: - raise Exception("Invalid config value for {}".format(key_type)) - assert key_path.is_file(), "Could not find ssh key: {}".format(key_path) + # Check if user specified custom SSH key paths + user_specified_private_key = "ssh_private_key" in config["auth"] + user_specified_public_key = "ssh_public_key" in config["auth"] + + # Validate that the user either specfied both keys or none, but not just one + if user_specified_private_key != user_specified_public_key: + if user_specified_private_key: + missing_key, specified_key = "ssh_public_key", "ssh_private_key" + else: + missing_key, specified_key = "ssh_private_key", "ssh_public_key" + raise ValueError( + f"{specified_key} is specified but {missing_key} is missing. " + "Both SSH key paths must be specified together, or omit both from " + "your config to use auto-generated keys." + ) + + if user_specified_private_key and user_specified_public_key: + # User specified custom paths + private_key_path = Path(config["auth"]["ssh_private_key"]).expanduser() + public_key_path = Path(config["auth"]["ssh_public_key"]).expanduser() + + # Validate that user-specified keys exist + missing_keys = [] + if not private_key_path.is_file(): + missing_keys.append(f"ssh_private_key: {private_key_path}") + if not public_key_path.is_file(): + missing_keys.append(f"ssh_public_key: {public_key_path}") + + if missing_keys: + raise ValueError( + "SSH key files from config do not exist: {}. " + "Please create the keys or remove the custom paths from your config " + "to use auto-generated keys.".format(", ".join(missing_keys)) + ) + logger.info( + "Using specified SSH keys from config: {} and {}".format( + private_key_path, public_key_path + ) + ) - if key_type == "ssh_public_key": - with open(key_path, "r") as f: + with open(public_key_path, "r") as f: + public_key = f.read() + else: + # Generate Ray-specific keys + region = config["provider"]["location"] + resource_group = config["provider"]["resource_group"] + + # Generate single deterministic key name for this configuration + key_name = generate_ssh_key_name( + "azure", None, region, resource_group, ssh_user + ) + public_key_path, private_key_path = generate_ssh_key_paths(key_name) + + # Check if this key pair already exists + if os.path.exists(private_key_path) and os.path.exists(public_key_path): + logger.info( + "Using existing Ray-specific SSH keys: {} and {}".format( + private_key_path, public_key_path + ) + ) + with open(public_key_path, "r") as f: public_key = f.read() + else: + # Create a key pair since it doesn't exist locally + logger.info( + "Generating new Ray-specific SSH key pair at {} and {}".format( + private_key_path, public_key_path + ) + ) + os.makedirs(os.path.dirname(private_key_path), exist_ok=True) + public_key, private_key = generate_rsa_key_pair() + with open( + private_key_path, + "w", + opener=lambda path, flags: os.open(path, flags, 0o600), + ) as f: + f.write(private_key) + with open(public_key_path, "w") as f: + f.write(public_key) + + assert os.path.exists( + private_key_path + ), "Private key file {} not found for user {}".format( + private_key_path, ssh_user + ) + + config["auth"]["ssh_private_key"] = private_key_path + config["auth"]["ssh_public_key"] = public_key_path + if "file_mounts" not in config: + config["file_mounts"] = {} + config["file_mounts"]["~/.ssh/id_rsa.pub"] = public_key_path for node_type in config["available_node_types"].values(): azure_arm_parameters = node_type["node_config"].setdefault( diff --git a/python/ray/autoscaler/_private/gcp/config.py b/python/ray/autoscaler/_private/gcp/config.py index b48a7e984762..e527e21ab556 100644 --- a/python/ray/autoscaler/_private/gcp/config.py +++ b/python/ray/autoscaler/_private/gcp/config.py @@ -9,9 +9,6 @@ import google_auth_httplib2 import googleapiclient import httplib2 -from cryptography.hazmat.backends import default_backend -from cryptography.hazmat.primitives import serialization -from cryptography.hazmat.primitives.asymmetric import rsa from google.oauth2 import service_account from google.oauth2.credentials import Credentials as OAuthCredentials from googleapiclient import discovery, errors @@ -19,7 +16,12 @@ from ray._private.accelerators import TPUAcceleratorManager from ray._private.accelerators import tpu from ray.autoscaler._private.gcp.node import MAX_POLLS, POLL_INTERVAL, GCPNodeType -from ray.autoscaler._private.util import check_legacy_fields +from ray.autoscaler._private.util import ( + check_legacy_fields, + generate_rsa_key_pair, + generate_ssh_key_name, + generate_ssh_key_paths, +) logger = logging.getLogger(__name__) @@ -244,43 +246,6 @@ def wait_for_compute_global_operation(project_name, operation, compute): return result -def key_pair_name(i, region, project_id, ssh_user): - """Returns the ith default gcp_key_pair_name.""" - key_name = "{}_gcp_{}_{}_{}_{}".format(RAY, region, project_id, ssh_user, i) - return key_name - - -def key_pair_paths(key_name): - """Returns public and private key paths for a given key_name.""" - public_key_path = os.path.expanduser("~/.ssh/{}.pub".format(key_name)) - private_key_path = os.path.expanduser("~/.ssh/{}.pem".format(key_name)) - return public_key_path, private_key_path - - -def generate_rsa_key_pair(): - """Create public and private ssh-keys.""" - - key = rsa.generate_private_key( - backend=default_backend(), public_exponent=65537, key_size=2048 - ) - - public_key = ( - key.public_key() - .public_bytes( - serialization.Encoding.OpenSSH, serialization.PublicFormat.OpenSSH - ) - .decode("utf-8") - ) - - pem = key.private_bytes( - encoding=serialization.Encoding.PEM, - format=serialization.PrivateFormat.TraditionalOpenSSL, - encryption_algorithm=serialization.NoEncryption(), - ).decode("utf-8") - - return public_key, pem - - def _has_tpus_in_node_configs(config: dict) -> bool: """Check if any nodes in config are TPUs.""" node_configs = [ @@ -555,10 +520,14 @@ def _configure_key_pair(config, compute): # Try a few times to get or create a good key pair. key_found = False for i in range(10): - key_name = key_pair_name( - i, config["provider"]["region"], config["provider"]["project_id"], ssh_user + key_name = generate_ssh_key_name( + "gcp", + i, + config["provider"]["region"], + config["provider"]["project_id"], + ssh_user, ) - public_key_path, private_key_path = key_pair_paths(key_name) + public_key_path, private_key_path = generate_ssh_key_paths(key_name) for ssh_key in ssh_keys: key_parts = ssh_key.split(" ") diff --git a/python/ray/autoscaler/_private/util.py b/python/ray/autoscaler/_private/util.py index 7da96de2b14b..17d463304957 100644 --- a/python/ray/autoscaler/_private/util.py +++ b/python/ray/autoscaler/_private/util.py @@ -990,3 +990,47 @@ def format_no_node_type_string(node_type: dict): output_lines.append(output_line) return "\n ".join(output_lines) + + +def generate_rsa_key_pair(): + from cryptography.hazmat.backends import default_backend + from cryptography.hazmat.primitives import serialization + from cryptography.hazmat.primitives.asymmetric import rsa + + key = rsa.generate_private_key( + backend=default_backend(), public_exponent=65537, key_size=2048 + ) + + public_key = ( + key.public_key() + .public_bytes( + serialization.Encoding.OpenSSH, serialization.PublicFormat.OpenSSH + ) + .decode("utf-8") + ) + + pem = key.private_bytes( + encoding=serialization.Encoding.PEM, + format=serialization.PrivateFormat.TraditionalOpenSSL, + encryption_algorithm=serialization.NoEncryption(), + ).decode("utf-8") + + return public_key, pem + + +def generate_ssh_key_paths(key_name): + public_key_path = os.path.expanduser("~/.ssh/{}.pub".format(key_name)) + private_key_path = os.path.expanduser("~/.ssh/{}.pem".format(key_name)) + return public_key_path, private_key_path + + +def generate_ssh_key_name(provider, i, region, identifier, ssh_user): + RAY_PREFIX = "ray-autoscaler" + if i is not None: + return "{}_{}_{}_{}_{}_{}".format( + RAY_PREFIX, provider, region, identifier, ssh_user, i + ) + else: + return "{}_{}_{}_{}_{}".format( + RAY_PREFIX, provider, region, identifier, ssh_user + ) diff --git a/python/ray/autoscaler/azure/defaults.yaml b/python/ray/autoscaler/azure/defaults.yaml index 592a0f02e681..1c0e32655a3a 100644 --- a/python/ray/autoscaler/azure/defaults.yaml +++ b/python/ray/autoscaler/azure/defaults.yaml @@ -36,11 +36,10 @@ provider: # How Ray will authenticate with newly launched nodes. auth: ssh_user: ubuntu - # you must specify paths to matching private and public key pair files - # use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair - ssh_private_key: ~/.ssh/id_rsa - # changes to this should match what is specified in file_mounts - ssh_public_key: ~/.ssh/id_rsa.pub + # SSH keys will be auto-generated with Ray-specific names if not specified + # Uncomment and specify custom paths if you want to use different existing keys: + # ssh_private_key: /path/to/your/key.pem + # ssh_public_key: /path/to/your/key.pub # More specific customization to node configurations can be made using the ARM template azure-vm-template.json file # See documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines @@ -92,7 +91,6 @@ head_node_type: ray.head.default file_mounts: { # "/path1/on/remote/machine": "/path1/on/local/machine", # "/path2/on/remote/machine": "/path2/on/local/machine", - "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub" } # Files or directories to copy from the head node to the worker nodes. The format is a diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml index 6bb911268f05..fbcf05f82b17 100644 --- a/python/ray/autoscaler/azure/example-full.yaml +++ b/python/ray/autoscaler/azure/example-full.yaml @@ -59,11 +59,10 @@ provider: # How Ray will authenticate with newly launched nodes. auth: ssh_user: ubuntu - # You must specify paths to matching private and public key pair files. - # Use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair. - ssh_private_key: ~/.ssh/id_rsa - # Changes to this should match what is specified in file_mounts. - ssh_public_key: ~/.ssh/id_rsa.pub + # SSH keys will be auto-generated with Ray-specific names if not specified + # Uncomment and specify custom paths if you want to use different existing keys: + # ssh_private_key: /path/to/your/key.pem + # ssh_public_key: /path/to/your/key.pub # You can make more specific customization to node configurations can be made using the ARM template azure-vm-template.json file. # See this documentation here: https://docs.microsoft.com/en-us/azure/templates/microsoft.compute/2019-03-01/virtualmachines @@ -127,7 +126,7 @@ head_node_type: ray.head.default file_mounts: { # "/path1/on/remote/machine": "/path1/on/local/machine", # "/path2/on/remote/machine": "/path2/on/local/machine", - "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} +} # Files or directories to copy from the head node to the worker nodes. The format is a # list of paths. Ray copies the same path on the head node to the worker node. diff --git a/python/ray/autoscaler/azure/example-gpu-docker.yaml b/python/ray/autoscaler/azure/example-gpu-docker.yaml index 3ebc763e7d26..6f322324b98f 100644 --- a/python/ray/autoscaler/azure/example-gpu-docker.yaml +++ b/python/ray/autoscaler/azure/example-gpu-docker.yaml @@ -43,11 +43,10 @@ provider: # How Ray will authenticate with newly launched nodes. auth: ssh_user: ubuntu - # you must specify paths to matching private and public key pair files - # use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair - ssh_private_key: ~/.ssh/id_rsa - # changes to this should match what is specified in file_mounts - ssh_public_key: ~/.ssh/id_rsa.pub + # SSH keys will be auto-generated with Ray-specific names if not specified + # Uncomment and specify custom paths if you want to use different existing keys: + # ssh_private_key: /path/to/your/key.pem + # ssh_public_key: /path/to/your/key.pub # Tell the autoscaler the allowed node types and the resources they provide. # The key is the name of the node type, which is just for debugging purposes. @@ -98,7 +97,6 @@ head_node_type: ray.head.gpu file_mounts: { # "/path1/on/remote/machine": "/path1/on/local/machine", # "/path2/on/remote/machine": "/path2/on/local/machine", - "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub" } # List of commands that will be run before `setup_commands`. If docker is diff --git a/python/ray/autoscaler/azure/example-minimal.yaml b/python/ray/autoscaler/azure/example-minimal.yaml index 768eef14a325..de51922482df 100644 --- a/python/ray/autoscaler/azure/example-minimal.yaml +++ b/python/ray/autoscaler/azure/example-minimal.yaml @@ -14,13 +14,14 @@ provider: # How Ray will authenticate with newly launched nodes. auth: ssh_user: ubuntu - # you must specify paths to matching private and public key pair files - # use `ssh-keygen -t rsa -b 4096` to generate a new ssh key pair - ssh_private_key: ~/.ssh/id_rsa - # changes to this should match what is specified in file_mounts - ssh_public_key: ~/.ssh/id_rsa.pub + # SSH keys will be auto-generated with Ray-specific names if not specified + # Uncomment and specify custom paths if you want to use different existing keys: + # ssh_private_key: /path/to/your/key.pem + # ssh_public_key: /path/to/your/key.pub # Files or directories to copy to the head and worker nodes. The format is a # dictionary from REMOTE_PATH: LOCAL_PATH, e.g. file_mounts: { - "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub"} +# "/path1/on/remote/machine": "/path1/on/local/machine", +# "/path2/on/remote/machine": "/path2/on/local/machine", +} From 9bb4b09382395e88bca192ca5eca3766523bbcc3 Mon Sep 17 00:00:00 2001 From: Rueian Date: Thu, 21 Aug 2025 14:49:57 -0700 Subject: [PATCH 0808/1566] [core][autoscaler][IPPR] add HandleResizeLocalResourceInstances (#54807) ## Why are these changes needed? This is a part of Autoscaler <> Kubernetes In-place Pod Resizing integration. After the Autoscaler finds out that an upscale resize has succeeded at the Kubernetes side, it needs to ask the Raylet on the Pod to resize its logical resources with the new `ResizeLocalResourceInstances` API. ```proto message ResizeLocalResourceInstancesRequest { // Map of resource names to their desired total quantities // For example: {"CPU": 4, "memory": 1000000} map resources = 1; } message ResizeLocalResourceInstancesReply { // Current total resources after the resize operation map total_resources = 1; } rpc ResizeLocalResourceInstances(ResizeLocalResourceInstancesRequest) returns (ResizeLocalResourceInstancesReply) ``` The new API accepts a desired resources map and will return an updated `total_resources` map if it resizes its logical resources successfully. Note that the returned `total_resources` map may differ from the desired resources map in the case of downsizing. The API will reject a desired resources map which contains `unit instance resources`, such as GPU, with `INVALID_ARGUMENT`. Such resources can't be simply resized by the delta of desired amount between old amount and are not the goal of In-place Pod Resizing currently. The API will send an on-demand `RESOURCE_VIEW` message with its latest logical resources to GCS after the resize. GCS will then broadcast the update to all other Raylets. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- src/ray/protobuf/node_manager.proto | 21 +++ src/ray/raylet/node_manager.cc | 98 ++++++++++ src/ray/raylet/node_manager.h | 6 + src/ray/raylet/tests/node_manager_test.cc | 176 ++++++++++++++++++ .../rpc/node_manager/node_manager_server.h | 6 + 5 files changed, 307 insertions(+) diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index 4a6da212b2dd..16ddfd364243 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -132,6 +132,17 @@ message CancelResourceReserveRequest { message CancelResourceReserveReply {} +message ResizeLocalResourceInstancesRequest { + // Map of resource names to their desired total quantities + // For example: {"CPU": 4, "memory": 1000000} + map resources = 1; +} + +message ResizeLocalResourceInstancesReply { + // Current total resources after the resize operation + map total_resources = 1; +} + // Release a worker back to its raylet. message ReturnWorkerRequest { // Port of the leased worker that we are now returning. @@ -449,6 +460,16 @@ service NodeManagerService { // Failure: Has retry behavior, could be improved to just use retriable grpc client. rpc CancelResourceReserve(CancelResourceReserveRequest) returns (CancelResourceReserveReply); + // Adjust the total number of local resource instances on the raylet to match the + // specified values. + // Success: Returns the updated total resources for the node. If downsizing would make + // available resources negative, the raylet clamps the reduction so that available + // becomes zero. + // Failure: Returns INVALID_ARGUMENT if the request attempts to resize a unit instance + // resource (e.g., GPU), as these cannot be resized by this API. In the cases of + // network errors, the caller should retry the request. + rpc ResizeLocalResourceInstances(ResizeLocalResourceInstancesRequest) + returns (ResizeLocalResourceInstancesReply); // Cancel a pending lease request. This only returns success if the // lease request was not yet granted. // Failure: TODO: This needs to handle network failure diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 684eb7c93daf..51c5d204e481 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -33,6 +33,7 @@ #include "ray/common/buffer.h" #include "ray/common/common_protocol.h" #include "ray/common/constants.h" +#include "ray/common/grpc_util.h" #include "ray/common/memory_monitor.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" @@ -1846,6 +1847,103 @@ void NodeManager::HandleCancelResourceReserve( send_reply_callback(Status::OK(), nullptr, nullptr); } +void NodeManager::HandleResizeLocalResourceInstances( + rpc::ResizeLocalResourceInstancesRequest request, + rpc::ResizeLocalResourceInstancesReply *reply, + rpc::SendReplyCallback send_reply_callback) { + const auto &target_resource_map = request.resources(); + + // Check if any resource is a unit instance resource + // Unit instance resources (e.g., GPU) cannot be resized with this API + for (const auto &[resource_name, target_value] : target_resource_map) { + if (ResourceID(resource_name).IsUnitInstanceResource()) { + std::string error_msg = absl::StrFormat( + "Cannot resize unit instance resource '%s'. Unit instance resources " + "(e.g., GPU) cannot be resized dynamically.", + resource_name); + send_reply_callback(Status::InvalidArgument(error_msg), nullptr, nullptr); + return; + } + } + + // Get current local resources and convert to resource maps + const auto ¤t_resources = + cluster_resource_scheduler_.GetLocalResourceManager().GetLocalResources(); + const auto ¤t_total_map = + current_resources.GetTotalResourceInstances().ToNodeResourceSet().GetResourceMap(); + const auto ¤t_available_map = current_resources.GetAvailableResourceInstances() + .ToNodeResourceSet() + .GetResourceMap(); + + // Calculate delta resource map (target - current) and clamp to avoid + // making available resources negative + absl::flat_hash_map delta_resource_map; + for (const auto &[resource_name, target_value] : target_resource_map) { + double current_total = 0.0; + double current_available = 0.0; + + if (auto total_it = current_total_map.find(resource_name); + total_it != current_total_map.end()) { + current_total = total_it->second; + } + + if (auto available_it = current_available_map.find(resource_name); + available_it != current_available_map.end()) { + current_available = available_it->second; + } + + double delta_value = target_value - current_total; + + // Clamp so current_available never goes below 0. + // For example, if delta_value is -4 but the current_available is 2, + // then clamp delta_value to -2. + if (delta_value < -current_available) { + delta_value = -current_available; + } + + if (delta_value != 0.0) { + delta_resource_map[resource_name] = delta_value; + } + } + + // Convert the delta resource map to NodeResourceInstanceSet and apply + if (!delta_resource_map.empty()) { + NodeResourceSet delta_resources(delta_resource_map); + NodeResourceInstanceSet delta_instances(delta_resources); + + // Apply deltas for each resource + for (const auto &resource_id : delta_resources.ExplicitResourceIds()) { + const auto &instances = delta_instances.Get(resource_id); + cluster_resource_scheduler_.GetLocalResourceManager().AddLocalResourceInstances( + resource_id, instances); + } + } + + // Get updated resource state and populate reply + const auto &updated_resources = + cluster_resource_scheduler_.GetLocalResourceManager().GetLocalResources(); + const auto &updated_total_map = + updated_resources.GetTotalResourceInstances().ToNodeResourceSet().GetResourceMap(); + const auto &updated_available_map = updated_resources.GetAvailableResourceInstances() + .ToNodeResourceSet() + .GetResourceMap(); + + if (!delta_resource_map.empty()) { + // Log the updated resources + RAY_LOG(INFO) << "Successfully resized local resources. Current total resources: " + << debug_string(updated_total_map); + RAY_LOG(INFO) << "Available resources: " << debug_string(updated_available_map); + // Trigger scheduling to account for the new resources + cluster_task_manager_.ScheduleAndDispatchTasks(); + } + + // Populate the reply with the current resource state + auto *total_resources = reply->mutable_total_resources(); + total_resources->insert(updated_total_map.begin(), updated_total_map.end()); + + send_reply_callback(Status::OK(), nullptr, nullptr); +} + void NodeManager::HandleReturnWorker(rpc::ReturnWorkerRequest request, rpc::ReturnWorkerReply *reply, rpc::SendReplyCallback send_reply_callback) { diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index df53758583c3..2727f0d3d4a0 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -279,6 +279,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::PinObjectIDsReply *reply, rpc::SendReplyCallback send_reply_callback) override; + /// Handle a `ResizeLocalResourceInstances` request. + void HandleResizeLocalResourceInstances( + rpc::ResizeLocalResourceInstancesRequest request, + rpc::ResizeLocalResourceInstancesReply *reply, + rpc::SendReplyCallback send_reply_callback) override; + private: FRIEND_TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog); diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 56bd7d90f873..7041b4152ee0 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -33,6 +33,7 @@ #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" +#include "ray/common/scheduling/cluster_resource_data.h" #include "ray/object_manager/plasma/client.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_task_manager.h" @@ -746,6 +747,181 @@ TEST_F(NodeManagerTest, TestPinningAnObjectPendingDeletionFails) { EXPECT_FALSE(failed_pin_reply.successes(0)); } +TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesSuccessful) { + // Test 1: Up scaling (increasing resource capacity) + rpc::ResizeLocalResourceInstancesRequest request; + rpc::ResizeLocalResourceInstancesReply reply; + + (*request.mutable_resources())["CPU"] = 8.0; + (*request.mutable_resources())["memory"] = 16000000.0; + + bool callback_called = false; + + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + + // Check that reply contains the updated resources + EXPECT_EQ(reply.total_resources().at("CPU"), 8.0); + EXPECT_EQ(reply.total_resources().at("memory"), 16000000.0); + + // Test 2: Down scaling (decreasing resources) + (*request.mutable_resources())["CPU"] = 4.0; + (*request.mutable_resources())["memory"] = 8000000.0; + + reply.Clear(); + callback_called = false; + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + + // Check that reply contains the updated (reduced) resources + EXPECT_EQ(reply.total_resources().at("CPU"), 4.0); + EXPECT_EQ(reply.total_resources().at("memory"), 8000000.0); + + // Test 3: No changes (same values) + reply.Clear(); + callback_called = false; + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + + // Should still succeed and return current state + EXPECT_EQ(reply.total_resources().at("CPU"), 4.0); + EXPECT_EQ(reply.total_resources().at("memory"), 8000000.0); + + // Test 4: Now update only CPU, leaving memory unchanged + request.mutable_resources()->clear(); + (*request.mutable_resources())["CPU"] = 8.0; // Double the CPU + + reply.Clear(); + callback_called = false; + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + + // Check that CPU was updated, and memory was unchanged + EXPECT_EQ(reply.total_resources().at("CPU"), 8.0); + EXPECT_EQ(reply.total_resources().at("memory"), 8000000.0); +} + +TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesInvalidArgument) { + // Test trying to resize unit instance resources (GPU, etc.) + rpc::ResizeLocalResourceInstancesRequest request; + rpc::ResizeLocalResourceInstancesReply reply; + + (*request.mutable_resources())["GPU"] = 4.0; // GPU is a unit instance resource + + bool callback_called = false; + + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_FALSE(s.ok()); + EXPECT_TRUE(s.IsInvalidArgument()); + // Check the error message contains expected details + std::string error_msg = s.message(); + EXPECT_TRUE(error_msg.find("Cannot resize unit instance resource 'GPU'") != + std::string::npos); + EXPECT_TRUE(error_msg.find("Unit instance resources") != std::string::npos); + EXPECT_TRUE(error_msg.find("cannot be resized dynamically") != std::string::npos); + }); + + // The callback should have been called with an InvalidArgument status + EXPECT_TRUE(callback_called); +} + +TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesClamps) { + // Test 1: Best effort downsizing + rpc::ResizeLocalResourceInstancesRequest request; + rpc::ResizeLocalResourceInstancesReply reply; + + // Initialize resources to a known state + (*request.mutable_resources())["CPU"] = 8.0; + (*request.mutable_resources())["memory"] = 16000000.0; + + bool callback_called = false; + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + + // Simulate resource usage by allocating task resources through the local resource + // manager: Use 6 out of 8 CPUs and 2 are free. + const absl::flat_hash_map task_resources = {{"CPU", 6.0}}; + std::shared_ptr task_allocation = + std::make_shared(); + bool allocation_success = + cluster_resource_scheduler_->GetLocalResourceManager().AllocateLocalTaskResources( + task_resources, task_allocation); + EXPECT_TRUE(allocation_success); + + // Now request to downsize CPU to 4. Should clamp to 6. + callback_called = false; + (*request.mutable_resources())["CPU"] = 4.0; + reply.Clear(); + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + // Total CPU should be clamped to 6 because there are only 2 CPUs available. + // It should resize from 8 to 6 instead of resizing to 4. + EXPECT_EQ(reply.total_resources().at("CPU"), 6.0); + + // Test 2: Extreme request (e.g., 0). Should clamp to current usage. + callback_called = false; + (*request.mutable_resources())["CPU"] = 0.0; + reply.Clear(); + node_manager_->HandleResizeLocalResourceInstances( + request, + &reply, + [&callback_called]( + Status s, std::function success, std::function failure) { + callback_called = true; + EXPECT_TRUE(s.ok()); + }); + EXPECT_TRUE(callback_called); + // With 6 used, total should remain 6 + EXPECT_EQ(reply.total_resources().at("CPU"), 6.0); +} + } // namespace ray::raylet int main(int argc, char **argv) { diff --git a/src/ray/rpc/node_manager/node_manager_server.h b/src/ray/rpc/node_manager/node_manager_server.h index f7e1cc37f171..7e0a726832e4 100644 --- a/src/ray/rpc/node_manager/node_manager_server.h +++ b/src/ray/rpc/node_manager/node_manager_server.h @@ -48,6 +48,7 @@ namespace rpc { RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PrepareBundleResources) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CommitBundleResources) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelResourceReserve) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ResizeLocalResourceInstances) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReleaseUnusedBundles) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetSystemConfig) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(IsLocalWorkerDead) \ @@ -136,6 +137,11 @@ class NodeManagerServiceHandler { rpc::CancelResourceReserveReply *reply, rpc::SendReplyCallback send_reply_callback) = 0; + virtual void HandleResizeLocalResourceInstances( + rpc::ResizeLocalResourceInstancesRequest request, + rpc::ResizeLocalResourceInstancesReply *reply, + rpc::SendReplyCallback send_reply_callback) = 0; + virtual void HandlePinObjectIDs(PinObjectIDsRequest request, PinObjectIDsReply *reply, SendReplyCallback send_reply_callback) = 0; From 9fc2fd510e3f1eb9781a4af8dffbfd126510d4fc Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Thu, 21 Aug 2025 15:02:36 -0700 Subject: [PATCH 0809/1566] Make Ray Train Dashboard Panel Ids Static (#55559) Currently, the ids of the Ray Train Dashboard panels use a PanelId.next() function that sets the id of a new panel to be the last id incremented by 1. This can make it difficult to add panels anywhere aside from the bottom of the dashboard. This PR introduces static panel ids to the Ray Train Dashboard. --------- Signed-off-by: JasonLi1909 Signed-off-by: Douglas Strodtman --- .../dashboards/train_dashboard_panels.py | 43 +++++++------------ 1 file changed, 15 insertions(+), 28 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py index e003c27c82a0..f6f88729f7ed 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py @@ -7,22 +7,9 @@ ) -class PanelId: - """ - A class to generate unique panel IDs. - """ - - id = 0 - - @staticmethod - def next(): - PanelId.id += 1 - return PanelId.id - - # Ray Train Metrics (Controller) CONTROLLER_STATE_PANEL = Panel( - id=PanelId.next(), + id=1, title="Controller State", description="Current state of the train controller.", unit="", @@ -35,7 +22,7 @@ def next(): ) CONTROLLER_OPERATION_TIME_PANEL = Panel( - id=PanelId.next(), + id=2, title="Controller Operation Time", description="Time taken by the controller for worker group operations.", unit="seconds", @@ -55,7 +42,7 @@ def next(): # Ray Train Metrics (Worker) WORKER_CHECKPOINT_REPORT_TIME_PANEL = Panel( - id=PanelId.next(), + id=3, title="Checkpoint Report Time", description="Time taken to report a checkpoint to storage.", unit="seconds", @@ -71,7 +58,7 @@ def next(): # Core System Resources CPU_UTILIZATION_PANEL = Panel( - id=PanelId.next(), + id=4, title="CPU Usage", description="CPU core utilization across all workers.", unit="cores", @@ -88,7 +75,7 @@ def next(): ) MEMORY_UTILIZATION_PANEL = Panel( - id=PanelId.next(), + id=5, title="Total Memory Usage", description="Total physical memory used vs total available memory.", unit="bytes", @@ -105,7 +92,7 @@ def next(): ) MEMORY_DETAILED_PANEL = Panel( - id=PanelId.next(), + id=6, title="Memory Allocation Details", description="Memory allocation details including available and shared memory.", unit="bytes", @@ -124,7 +111,7 @@ def next(): # GPU Resources # TODO: Add GPU Device/Index as a filter. GPU_UTILIZATION_PANEL = Panel( - id=PanelId.next(), + id=7, title="GPU Usage", description="GPU utilization across all workers.", unit="GPUs", @@ -141,7 +128,7 @@ def next(): ) GPU_MEMORY_UTILIZATION_PANEL = Panel( - id=PanelId.next(), + id=8, title="GPU Memory Usage", description="GPU memory usage across all workers.", unit="bytes", @@ -159,7 +146,7 @@ def next(): # Storage Resources DISK_UTILIZATION_PANEL = Panel( - id=PanelId.next(), + id=9, title="Disk Space Usage", description="Disk space usage across all workers.", unit="bytes", @@ -176,7 +163,7 @@ def next(): ) DISK_THROUGHPUT_PANEL = Panel( - id=PanelId.next(), + id=10, title="Disk Throughput", description="Current disk read/write throughput.", unit="Bps", @@ -193,7 +180,7 @@ def next(): ) DISK_OPERATIONS_PANEL = Panel( - id=PanelId.next(), + id=11, title="Disk Operations", description="Current disk read/write operations per second.", unit="ops/s", @@ -211,7 +198,7 @@ def next(): # Network Resources NETWORK_THROUGHPUT_PANEL = Panel( - id=PanelId.next(), + id=12, title="Network Throughput", description="Current network send/receive throughput.", unit="Bps", @@ -228,7 +215,7 @@ def next(): ) NETWORK_TOTAL_PANEL = Panel( - id=PanelId.next(), + id=13, title="Network Total Traffic", description="Total network traffic sent/received.", unit="bytes", @@ -250,7 +237,7 @@ def next(): # Train Metrics Row Row( title="Train Metrics", - id=PanelId.next(), + id=14, panels=[ # Ray Train Metrics (Controller) CONTROLLER_STATE_PANEL, @@ -263,7 +250,7 @@ def next(): # System Resources Row Row( title="Resource Utilization", - id=PanelId.next(), + id=15, panels=[ CPU_UTILIZATION_PANEL, MEMORY_UTILIZATION_PANEL, From 0b2458cb7c1850e8c1e6f7f683e75cb237db0a1f Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 21 Aug 2025 15:35:34 -0700 Subject: [PATCH 0810/1566] introduce deployment rank manager (#55729) Part 1 of https://github.com/ray-project/ray/pull/54938 This PR introduces `DeploymentRankManager` class that will manage ranks for all replicas within a deployment. In next PR I will use this object to integrate with DeploymentState --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 4 + python/ray/serve/_private/deployment_state.py | 263 ++++++++++++++ .../unit/test_deployment_rank_manager.py | 343 ++++++++++++++++++ 3 files changed, 610 insertions(+) create mode 100644 python/ray/serve/tests/unit/test_deployment_rank_manager.py diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index dd46f0c6c20c..0f682244c709 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -462,5 +462,9 @@ "RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE", 1 ) +# Feature flag to fail the deployment if the rank is not set. +# TODO (abrar): Remove this flag after the feature is stable. +RAY_SERVE_FAIL_ON_RANK_ERROR = get_env_bool("RAY_SERVE_FAIL_ON_RANK_ERROR", "0") + # The message to return when the replica is healthy. HEALTHY_MESSAGE = "success" diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 6bf969f9538f..8a33bc5eedc9 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -38,6 +38,7 @@ MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT, MAX_PER_REPLICA_RETRY_COUNT, RAY_SERVE_ENABLE_TASK_EVENTS, + RAY_SERVE_FAIL_ON_RANK_ERROR, RAY_SERVE_FORCE_STOP_UNHEALTHY_REPLICAS, RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY, REPLICA_HEALTH_CHECK_UNHEALTHY_THRESHOLD, @@ -1389,6 +1390,268 @@ def __repr__(self): return repr(self._replicas) +class DeploymentRankManager: + """Manages replica ranks for a deployment. + This class handles rank assignment, release, consistency checking, and reassignment. + It maintains the rank system invariants and provides a clean interface for rank operations. + """ + + def __init__(self, _fail_on_error: Optional[bool] = None): + # Maps replica_id to assigned rank + self._replica_ranks: Dict[str, int] = {} + # Set of available ranks (initially empty, grows as target replicas change) + self._released_ranks: Set[int] = set() + # Next rank to assign (increments as new replicas are created) + self._next_rank: int = 0 + # Whether to fail on rank errors (for testing control) + self._fail_on_error = ( + _fail_on_error + if _fail_on_error is not None + else RAY_SERVE_FAIL_ON_RANK_ERROR + ) + + def assign_rank(self, replica_id: str) -> int: + """Assign a rank to a new replica. + Args: + replica_id: The unique ID of the replica + Returns: + The assigned rank + Raises: + RuntimeError: If the replica already has a rank assigned + """ + if replica_id in self._replica_ranks: + raise RuntimeError( + f"Replica {replica_id} already has a rank assigned: {self._replica_ranks[replica_id]}" + ) + + # First try to reuse an available rank + if self._released_ranks: + rank = min(self._released_ranks) + self._released_ranks.remove(rank) + else: + # Otherwise use the next available rank + rank = self._next_rank + self._next_rank += 1 + + self._replica_ranks[replica_id] = rank + return rank + + def release_rank(self, replica_id: str) -> None: + """Release a rank when a replica is stopped. + Args: + replica_id: The unique ID of the replica whose rank should be released + """ + if replica_id not in self._replica_ranks: + raise RuntimeError(f"Replica {replica_id} has no rank assigned") + + rank = self._replica_ranks.pop(replica_id) + self._released_ranks.add(rank) + + def recover_rank(self, replica_id: str, rank: int) -> None: + """Recover a rank from a live replica during controller restart. + Args: + replica_id: The unique ID of the replica + rank: The rank to recover + Raises: + RuntimeError: If the replica already has a rank or the rank is invalid + ValueError: If the rank is invalid (negative) + """ + if replica_id in self._replica_ranks: + raise RuntimeError(f"Replica {replica_id} already has a rank assigned") + + self._replica_ranks[replica_id] = rank + + # Update available ranks tracking + if rank in self._released_ranks: + self._released_ranks.remove(rank) + + # Update next_rank to ensure we don't assign duplicates + if rank >= self._next_rank: + self._next_rank = rank + 1 + + def get_replica_rank(self, replica_id: str) -> Optional[int]: + """Get the rank assigned to a replica. + Args: + replica_id: The unique ID of the replica + Returns: + The assigned rank, or None if no rank is assigned + """ + if replica_id not in self._replica_ranks: + raise RuntimeError(f"Replica {replica_id} has no rank assigned") + return self._replica_ranks.get(replica_id) + + def get_replica_ranks_mapping(self) -> Dict[str, int]: + """Get a copy of the current replica ranks mapping. + Returns: + A copy of the replica_id to rank mapping + """ + return self._replica_ranks.copy() + + def check_rank_consistency_and_reassign_minimally( + self, + active_replicas: List["DeploymentReplica"], + ) -> List["DeploymentReplica"]: + """Verify rank system invariants and reassign ranks when needed. + This method ensures: + 1. All active replicas have ranks + 2. No duplicate ranks exist + 3. Ranks are contiguous when at target replica count + Args: + active_replicas: List of currently active replicas + Returns: + List of replicas that need to be reconfigured with new ranks + Raises: + RuntimeError: If rank system invariants are violated + """ + if not active_replicas: + return [] + + active_replica_ids = { + replica.replica_id.unique_id for replica in active_replicas + } + replica_ids_needs_reconfiguration = set() + + # Check for stale ranks - this should never happen + stale_replica_ids = set(self._replica_ranks.keys()) - active_replica_ids + if stale_replica_ids: + logger.error( + f"Found stale ranks for replicas: {stale_replica_ids}. " + "This should never happen. Please report this as a bug." + ) + if self._fail_on_error: + raise RuntimeError("Controller rank system is in an invalid state.") + # TODO (abrar): handle this case by removing the stale ranks, but remove this when + # RAY_SERVE_FAIL_ON_RANK_ERROR is set to 1 in the future + for replica_id in stale_replica_ids: + self.release_rank(replica_id) + replica_ids_needs_reconfiguration.add(replica_id) + + # Verify system invariants - all active replicas must have ranks + unranked_replica_ids = active_replica_ids - set(self._replica_ranks.keys()) + if unranked_replica_ids: + logger.error( + f"Found active replicas without ranks: {unranked_replica_ids}. " + "This should never happen. Please report this as a bug." + ) + if self._fail_on_error: + raise RuntimeError("Controller rank system is in an invalid state.") + # TODO (abrar): handle this case by assigning new ranks to the unranked replicas + # but remove this when RAY_SERVE_FAIL_ON_RANK_ERROR is set to 1 in the future + for replica_id in unranked_replica_ids: + self.assign_rank(replica_id) + replica_ids_needs_reconfiguration.add(replica_id) + + # Check for duplicate ranks - this should never happen + rank_counts = {} + for replica_id, rank in self._replica_ranks.copy().items(): + if replica_id in active_replica_ids: # Only check active replicas + rank_counts[rank] = rank_counts.get(rank, 0) + 1 + if rank_counts[rank] > 1: + logger.error( + f"Found duplicate rank {rank} assigned to multiple replicas. " + "This should never happen. Please report this as a bug." + ) + if self._fail_on_error: + raise RuntimeError( + "Controller rank system is in an invalid state." + ) + # TODO (abrar): handle this case by releasing the rank of the replica with the duplicate rank + # and assigning a new rank to the replica with the duplicate rank + # but remove this when RAY_SERVE_FAIL_ON_RANK_ERROR is set to 1 in the future + self._replica_ranks.pop(replica_id) + self.assign_rank(replica_id) + replica_ids_needs_reconfiguration.add(replica_id) + + # Check if we need to reassign ranks for contiguity + # Only force contiguity when at target replica count (e.g., after autoscaling down) + current_ranks = sorted(self._replica_ranks.values()) + expected_ranks = list(range(len(active_replicas))) + + replicas_needing_reconfiguration = [] + + if current_ranks != expected_ranks: + logger.info( + f"Deployment at target replica count but ranks are not contiguous. " + f"Current: {current_ranks}, Expected: {expected_ranks}. " + "Performing minimal reassignment." + ) + replicas_needing_reconfiguration.extend( + self._perform_minimal_rank_reassignment(active_replicas) + ) + + # TODO (abrar): remove this when RAY_SERVE_FAIL_ON_RANK_ERROR is set to 1 in the future + for replica in active_replicas: + if replica.replica_id.unique_id in replica_ids_needs_reconfiguration: + replicas_needing_reconfiguration.append(replica) + + return replicas_needing_reconfiguration + + def _perform_minimal_rank_reassignment( + self, active_replicas: List["DeploymentReplica"] + ) -> List["DeploymentReplica"]: + """Perform minimal rank reassignment to achieve contiguity. + This method reassigns ranks while minimizing the number of replicas that need + to be reconfigured. It prioritizes keeping existing ranks when possible. + Args: + active_replicas: List of currently active replicas + Returns: + List of replicas that need to be reconfigured with new ranks + """ + target_ranks_set = set(range(len(active_replicas))) + + # Find which replicas need new ranks + replicas_needing_ranks = [] + replicas_keeping_ranks = [] + + for replica in active_replicas: + replica_id = replica.replica_id.unique_id + current_rank = self.get_replica_rank(replica_id) + + if current_rank in target_ranks_set: + # This replica can keep its rank + target_ranks_set.remove(current_rank) # O(1) operation + replicas_keeping_ranks.append(replica) + else: + # This replica needs a new rank + replicas_needing_ranks.append(replica) + + # Convert remaining target ranks to sorted list for deterministic assignment + available_ranks = sorted(target_ranks_set) + + # Assign new ranks to replicas that need them + for i, replica in enumerate(replicas_needing_ranks): + replica_id = replica.replica_id.unique_id + new_rank = available_ranks[i] # O(1) operation + + # Store the old rank before updating + old_rank = self._replica_ranks[replica_id] + + logger.info( + f"Reassigning replica {replica_id}: rank {old_rank} -> {new_rank}" + ) + + # Update the rank mapping + self._replica_ranks[replica_id] = new_rank + # Remove the newly assigned rank from available ranks + self._released_ranks.discard(new_rank) + # Add the old rank back to available ranks for reuse + self._released_ranks.add(old_rank) + + # Log the reassignment summary + logger.info( + f"Minimal reassignment complete: {len(replicas_keeping_ranks)} replicas kept ranks, " + f"{len(replicas_needing_ranks)} replicas reassigned" + ) + + return replicas_needing_ranks + + def clear(self) -> None: + """Clear all rank data. Used for testing and reset.""" + self._replica_ranks.clear() + self._released_ranks.clear() + self._next_rank = 0 + + class DeploymentState: """Manages the target state and replicas for a single deployment.""" diff --git a/python/ray/serve/tests/unit/test_deployment_rank_manager.py b/python/ray/serve/tests/unit/test_deployment_rank_manager.py new file mode 100644 index 000000000000..211ce31b9471 --- /dev/null +++ b/python/ray/serve/tests/unit/test_deployment_rank_manager.py @@ -0,0 +1,343 @@ +import pytest + +from ray.serve._private.common import DeploymentID, ReplicaID +from ray.serve._private.deployment_state import DeploymentRankManager + + +@pytest.fixture +def rank_manager(): + """Fixture providing a fresh DeploymentRankManager instance for each test.""" + return DeploymentRankManager() + + +class MockDeploymentReplica: + """Mock replica for testing without heavy dependencies.""" + + def __init__( + self, + replica_id: str, + deployment_name: str = "test_deployment", + app_name: str = "test_app", + ): + self.replica_id = ReplicaID( + unique_id=replica_id, + deployment_id=DeploymentID(name=deployment_name, app_name=app_name), + ) + + def __str__(self): + return f"MockDeploymentReplica(replica_id={self.replica_id})" + + +class TestDeploymentRankManager: + """Test cases for DeploymentRankManager.""" + + def test_init(self, rank_manager): + """Test initialization creates empty state.""" + assert rank_manager._replica_ranks == {} + assert rank_manager._released_ranks == set() + assert rank_manager._next_rank == 0 + + def test_assign_rank_first_replica(self, rank_manager): + """Test assigning rank to first replica.""" + rank = rank_manager.assign_rank("replica_1") + assert rank == 0 + assert rank_manager._replica_ranks["replica_1"] == 0 + assert rank_manager._next_rank == 1 + assert rank_manager._released_ranks == set() + + def test_assign_rank_multiple_replicas(self, rank_manager): + """Test assigning ranks to multiple replicas.""" + rank1 = rank_manager.assign_rank("replica_1") + rank2 = rank_manager.assign_rank("replica_2") + rank3 = rank_manager.assign_rank("replica_3") + + assert rank1 == 0 + assert rank2 == 1 + assert rank3 == 2 + assert rank_manager._next_rank == 3 + assert len(rank_manager._replica_ranks) == 3 + + def test_assign_rank_reuses_released_ranks(self, rank_manager): + """Test that released ranks are reused before assigning new ones.""" + # Assign ranks to 3 replicas + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("replica_2") + rank_manager.assign_rank("replica_3") + + # Release middle rank + rank_manager.release_rank("replica_2") + assert 1 in rank_manager._released_ranks + + # New replica should get the released rank + rank = rank_manager.assign_rank("replica_4") + assert rank == 1 + assert 1 not in rank_manager._released_ranks + + def test_assign_rank_duplicate_fails(self): + """Test assigning rank to replica that already has one fails when flag is enabled.""" + rank_manager = DeploymentRankManager() + rank_manager.assign_rank("replica_1") + + with pytest.raises(RuntimeError, match="already has a rank assigned"): + rank_manager.assign_rank("replica_1") + + def test_release_rank(self, rank_manager): + """Test releasing a rank makes it available for reuse.""" + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("replica_2") + + rank_manager.release_rank("replica_1") + + assert "replica_1" not in rank_manager._replica_ranks + assert 0 in rank_manager._released_ranks + assert "replica_2" in rank_manager._replica_ranks + + def test_release_rank_nonexistent_replica(self): + """Test releasing rank for non-existent replica is safe.""" + rank_manager = DeploymentRankManager() + with pytest.raises(RuntimeError, match="has no rank assigned"): + rank_manager.release_rank("nonexistent") + + def test_recover_rank_basic(self, rank_manager): + """Test basic rank recovery.""" + rank_manager.recover_rank("replica_1", 5) + + assert rank_manager._replica_ranks["replica_1"] == 5 + assert rank_manager._next_rank == 6 + + def test_recover_rank_updates_next_rank(self, rank_manager): + """Test that recovering a high rank updates next_rank appropriately.""" + rank_manager.assign_rank("replica_1") # Gets rank 0 + rank_manager.recover_rank("replica_2", 10) + + assert rank_manager._next_rank == 11 + + # New replica should get rank 11 + rank = rank_manager.assign_rank("replica_3") + assert rank == 11 + + def test_recover_rank_removes_from_available(self, rank_manager): + """Test that recovering a rank removes it from available ranks.""" + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("replica_2") + rank_manager.release_rank("replica_1") # Rank 0 becomes available + + assert 0 in rank_manager._released_ranks + + # Recover rank 0 + rank_manager.recover_rank("replica_3", 0) + + assert 0 not in rank_manager._released_ranks + assert rank_manager._replica_ranks["replica_3"] == 0 + + def test_recover_rank_duplicate_fails(self): + """Test recovering rank for replica that already has one fails when flag is enabled.""" + rank_manager = DeploymentRankManager() + rank_manager.assign_rank("replica_1") + + with pytest.raises(RuntimeError, match="already has a rank assigned"): + rank_manager.recover_rank("replica_1", 5) + + def test_get_replica_rank_existing(self, rank_manager): + """Test getting rank for existing replica.""" + rank_manager.assign_rank("replica_1") + rank = rank_manager.get_replica_rank("replica_1") + assert rank == 0 + + def test_get_replica_rank_nonexistent_fails(self): + """Test getting rank for non-existent replica fails when flag is enabled.""" + rank_manager = DeploymentRankManager() + with pytest.raises(RuntimeError, match="has no rank assigned"): + rank_manager.get_replica_rank("nonexistent") + + def test_get_replica_ranks_mapping(self, rank_manager): + """Test getting copy of replica ranks mapping.""" + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("replica_2") + + mapping = rank_manager.get_replica_ranks_mapping() + expected = {"replica_1": 0, "replica_2": 1} + + assert mapping == expected + + # Verify it's a copy + mapping["replica_3"] = 2 + assert "replica_3" not in rank_manager._replica_ranks + + def test_clear(self, rank_manager): + """Test clearing all rank data.""" + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("replica_2") + rank_manager.release_rank("replica_1") + + rank_manager.clear() + + assert rank_manager._replica_ranks == {} + assert rank_manager._released_ranks == set() + assert rank_manager._next_rank == 0 + + def test_check_rank_consistency_empty_replicas(self, rank_manager): + """Test consistency check with no active replicas.""" + result = rank_manager.check_rank_consistency_and_reassign_minimally([]) + assert result == [] + + def test_check_rank_consistency_contiguous_ranks(self, rank_manager): + """Test consistency check with contiguous ranks (no reassignment needed).""" + # Set up contiguous ranks + replica1 = MockDeploymentReplica("replica_1") + replica2 = MockDeploymentReplica("replica_2") + replica3 = MockDeploymentReplica("replica_3") + + rank_manager.assign_rank("replica_1") # rank 0 + rank_manager.assign_rank("replica_2") # rank 1 + rank_manager.assign_rank("replica_3") # rank 2 + + result = rank_manager.check_rank_consistency_and_reassign_minimally( + [replica1, replica2, replica3] + ) + + assert result == [] + + def test_check_rank_consistency_non_contiguous_ranks(self, rank_manager): + """Test consistency check with non-contiguous ranks (reassignment needed).""" + # Set up non-contiguous ranks (simulate a replica being removed) + replica1 = MockDeploymentReplica("replica_1") + replica2 = MockDeploymentReplica("replica_2") + replica3 = MockDeploymentReplica("replica_3") + + # Manually set up non-contiguous ranks + rank_manager._replica_ranks = { + "replica_1": 0, + "replica_2": 2, # Gap at rank 1 + "replica_3": 3, + } + + result = rank_manager.check_rank_consistency_and_reassign_minimally( + [replica1, replica2, replica3] + ) + + # Should reassign some replicas to make ranks contiguous + assert len(result) > 0 + + # After reassignment, ranks should be contiguous + final_ranks = sorted(rank_manager._replica_ranks.values()) + expected_ranks = [0, 1, 2] + assert final_ranks == expected_ranks + + def test_minimal_reassignment_keeps_existing_when_possible(self, rank_manager): + """Test that minimal reassignment keeps existing ranks when possible.""" + replica1 = MockDeploymentReplica("replica_1") + replica2 = MockDeploymentReplica("replica_2") + replica3 = MockDeploymentReplica("replica_3") + replica4 = MockDeploymentReplica("replica_4") + + # Set up ranks: 0, 2, 5, 7 (non-contiguous) + rank_manager._replica_ranks = { + "replica_1": 0, # Should keep this + "replica_2": 2, # Should keep this + "replica_3": 5, # Should be reassigned to 1 + "replica_4": 7, # Should be reassigned to 3 + } + + result = rank_manager.check_rank_consistency_and_reassign_minimally( + [replica1, replica2, replica3, replica4] + ) + + # Verify minimal reassignment + assert len(result) == 2 # Only 2 replicas should be reassigned + reassigned_ids = {r.replica_id.unique_id for r in result} + assert reassigned_ids == {"replica_3", "replica_4"} + + # Verify final ranks are contiguous + final_ranks = sorted(rank_manager._replica_ranks.values()) + assert final_ranks == [0, 1, 2, 3] + + # Verify that replica_1 and replica_2 kept their original ranks + assert rank_manager._replica_ranks["replica_1"] == 0 + assert rank_manager._replica_ranks["replica_2"] == 2 + + def test_check_rank_consistency_unranked_replicas_fails_when_flag_enabled(self): + """Test consistency check fails when active replicas have no ranks and flag is enabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=True) + replica1 = MockDeploymentReplica("replica_1") + + with pytest.raises( + RuntimeError, match="Controller rank system is in an invalid state" + ): + rank_manager.check_rank_consistency_and_reassign_minimally([replica1]) + + def test_check_rank_consistency_unranked_replicas_logs_when_flag_disabled(self): + """Test consistency check only logs when active replicas have no ranks and flag is disabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=False) + replica1 = MockDeploymentReplica("replica_1") + + # When flag is disabled, it logs error but still tries to proceed with reassignment + # However, the reassignment will fail when trying to access ranks that don't exist + result = rank_manager.check_rank_consistency_and_reassign_minimally([replica1]) + assert result == [replica1] + + def test_check_rank_consistency_stale_ranks_fails_when_flag_enabled(self): + """Test consistency check fails when there are stale ranks and flag is enabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=True) + replica1 = MockDeploymentReplica("replica_1") + + # Set up stale rank (replica not in active list) + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("stale_replica") + + with pytest.raises( + RuntimeError, match="Controller rank system is in an invalid state" + ): + rank_manager.check_rank_consistency_and_reassign_minimally([replica1]) + + def test_check_rank_consistency_stale_ranks_logs_when_flag_disabled(self): + """Test consistency check only logs when there are stale ranks and flag is disabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=False) + replica1 = MockDeploymentReplica("replica_1") + + # Set up stale rank (replica not in active list) + rank_manager.assign_rank("replica_1") + rank_manager.assign_rank("stale_replica") + + # When flag is disabled, it logs error but continues with reassignment + # Since only replica_1 is active and has rank 0, no reassignment needed + result = rank_manager.check_rank_consistency_and_reassign_minimally([replica1]) + assert result == [] + + def test_check_rank_consistency_duplicate_ranks_fails_when_flag_enabled(self): + """Test consistency check fails when there are duplicate ranks and flag is enabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=True) + replica1 = MockDeploymentReplica("replica_1") + replica2 = MockDeploymentReplica("replica_2") + + # Manually create duplicate ranks (this should never happen in normal operation) + rank_manager._replica_ranks = {"replica_1": 0, "replica_2": 0} # Duplicate! + + with pytest.raises( + RuntimeError, match="Controller rank system is in an invalid state" + ): + rank_manager.check_rank_consistency_and_reassign_minimally( + [replica1, replica2] + ) + + def test_check_rank_consistency_duplicate_ranks_logs_when_flag_disabled(self): + """Test consistency check only logs when there are duplicate ranks and flag is disabled.""" + rank_manager = DeploymentRankManager(_fail_on_error=False) + replica1 = MockDeploymentReplica("replica_1") + replica2 = MockDeploymentReplica("replica_2") + + # Manually create duplicate ranks (this should never happen in normal operation) + rank_manager._replica_ranks = {"replica_1": 0, "replica_2": 0} # Duplicate! + rank_manager._next_rank = 1 + + # When flag is disabled, it logs error but still performs reassignment to fix the issue + result = rank_manager.check_rank_consistency_and_reassign_minimally( + [replica1, replica2] + ) + assert result == [replica2] or result == [replica1] + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-s", __file__])) From e81a25acc56d9dfc4151f7cc6aa2311c7b0df823 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Thu, 21 Aug 2025 15:39:17 -0700 Subject: [PATCH 0811/1566] [serve] add throughput opt env var for serve (#55804) ## Why are these changes needed? consolidates throughput opt env var into a single one ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 0f682244c709..168fcb718ecf 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -468,3 +468,12 @@ # The message to return when the replica is healthy. HEALTHY_MESSAGE = "success" + +# If throughput optimized Ray Serve is enabled, set the following constants. +# This should be at the end. +RAY_SERVE_THROUGHPUT_OPTIMIZED = get_env_bool("RAY_SERVE_THROUGHPUT_OPTIMIZED", "0") +if RAY_SERVE_THROUGHPUT_OPTIMIZED: + RAY_SERVE_RUN_USER_CODE_IN_SEPARATE_THREAD = False + RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = 1000 + RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP = False + RAY_SERVE_LOG_TO_STDERR = False From fc498c2c8bb76b6aa433ab22eaaf7103d26b7713 Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 22 Aug 2025 02:29:46 +0200 Subject: [PATCH 0812/1566] [serve.llm] Fixed DP DSV3 issues (#55802) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../_internal/serve/configs/server_models.py | 44 ++++++++++++++++--- .../deployments/data_parallel/dp_server.py | 5 ++- .../llm/vllm/kv_transfer_backends/base.py | 20 +++++++-- .../kv_transfer_backends/nixl_connector.py | 31 ++++++++++--- .../serve/deployments/llm/vllm/vllm_models.py | 3 +- .../tests/serve/cpu/configs/test_models.py | 19 ++++---- 6 files changed, 94 insertions(+), 28 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 910fce823c0c..3be3e246929a 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -424,6 +424,38 @@ def update_engine_kwargs(self, **kwargs: Any) -> None: if self._engine_config: self._engine_config.engine_kwargs.update(kwargs) + def _merge_replica_actor_and_child_actor_bundles( + self, + child_actor_bundles: List[Dict[str, float]], + replica_actor_bundle: Dict[str, float], + ) -> List[Dict[str, float]]: + """Sum up the bundles from replica actor bundles with the first bundle from child actor bundles. + + This is because the replica actor will use the first bundle in the list, and we want to collocate the replica actor with the child actor. + So we need to group them together. + + So for example: + child_actor_bundles = [{"GPU": 1, "CPU": 1}, {"GPU": 1, "CPU": 1}] + replica_actor_bundle = {"GPU": 0, "CPU": 1, "memory": 100} + return [{"GPU": 1, "CPU": 2, "memory": 100}, {"GPU": 1, "CPU": 1}] + """ + + if not child_actor_bundles: + return [replica_actor_bundle] + + if not replica_actor_bundle: + return child_actor_bundles + + first_bundle = child_actor_bundles[0] + bundle_key_set = set(first_bundle.keys()) | set(replica_actor_bundle.keys()) + + for key in bundle_key_set: + first_bundle[key] = replica_actor_bundle.get(key, 0) + first_bundle.get( + key, 0 + ) + + return [first_bundle] + child_actor_bundles[1:] + def _set_deployment_placement_options(self) -> Dict[str, Any]: deployment_config = self.deployment_config engine_config = self.get_engine_config() @@ -449,15 +481,17 @@ def _set_deployment_placement_options(self) -> Dict[str, Any]: ) try: - bundles = engine_config.placement_bundles + child_actor_bundles = engine_config.placement_bundles except ValueError: # May happen if all bundles are empty. - bundles = [] + child_actor_bundles = [] - bundles = [replica_actor_resources] + bundles + pg_bundles = self._merge_replica_actor_and_child_actor_bundles( + child_actor_bundles, replica_actor_resources + ) deployment_config.update( { - "placement_group_bundles": bundles, + "placement_group_bundles": pg_bundles, "placement_group_strategy": engine_config.placement_strategy, } ) @@ -569,7 +603,7 @@ def _setup_kv_connector_backend(self): raise ValueError(f"Unsupported connector type: {kv_connector}") # 2. Setup the backend - kv_connector_backend = kv_connector_backend_class(kv_transfer_config) + kv_connector_backend = kv_connector_backend_class(self) kv_connector_backend.setup() diff --git a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py index 8e2bc445f3fd..11c8d8e25e98 100644 --- a/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py +++ b/python/ray/llm/_internal/serve/deployments/data_parallel/dp_server.py @@ -76,6 +76,7 @@ def build_dp_deployment( llm_config: LLMConfig, *, name_prefix: Optional[str] = None, + options_override: Optional[dict] = None, ) -> Application: """Build a data parallel LLM deployment.""" dp_size = llm_config.engine_kwargs.get("data_parallel_size", 1) @@ -89,10 +90,12 @@ def build_dp_deployment( # the number of ranks per node because that has special semantics in vLLM. dp_size_per_node = llm_config.experimental_configs.get("dp_size_per_node", None) - deployment_options = llm_config.get_serve_options(name_prefix=name_prefix) dp_rank_assigner = DPRankAssigner.bind( dp_size=dp_size, dp_size_per_node=dp_size_per_node ) + deployment_options = llm_config.get_serve_options(name_prefix=name_prefix) + if options_override: + deployment_options.update(options_override) return DPServer.as_deployment(deployment_options).bind( llm_config=llm_config, dp_rank_assigner=dp_rank_assigner diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py index 420f7f44a06f..2999a147c887 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/base.py @@ -1,17 +1,29 @@ import abc import random import string -from typing import Any, Dict +from typing import TYPE_CHECKING, Any, Dict + +if TYPE_CHECKING: + from ray.llm._internal.serve.configs.server_models import LLMConfig class BaseConnectorBackend(abc.ABC): - def __init__(self, kv_transfer_config: Dict[str, Any]): + def __init__(self, llm_config: "LLMConfig"): """Base class for connector backends. Args: - kv_transfer_config: Configuration for the KV transfer. + llm_config: The llm configuration for this engine """ - self.kv_transfer_config = kv_transfer_config + self.llm_config = llm_config + + @property + def kv_transfer_config(self) -> Dict[str, Any]: + engine_kwargs = self.llm_config.engine_kwargs + kv_transfer_config = engine_kwargs.get("kv_transfer_config") + assert ( + kv_transfer_config is not None + ), "In Connector backend, kv_transfer_config is not set" + return kv_transfer_config def _get_unique_suffix(self, len: int = 6) -> str: """Generates unique alphanumeric suffix. diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py index 5cdbb37f744e..76036a5f3117 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/kv_transfer_backends/nixl_connector.py @@ -6,6 +6,28 @@ class NixlConnectorBackend(BaseConnectorBackend): + def _set_side_channel_port(self): + from vllm import envs as vllm_envs, utils as vllm_utils + + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): + base_port: int = int( + self.llm_config.experimental_configs.get( + "NIXL_SIDE_CHANNEL_PORT_BASE", vllm_utils.get_open_port() + ) + ) + # If dp_rank is set, we should use the + # base port + dp_rank as the side channel port + # due to a potential ray condition for getting the free ports. + dp_rank = self.llm_config.engine_kwargs.get("data_parallel_rank", 0) + port = base_port + dp_rank + os.environ["VLLM_NIXL_SIDE_CHANNEL_PORT"] = str(port) + + def _set_side_channel_host(self): + from vllm import envs as vllm_envs, utils as vllm_utils + + if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): + os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm_utils.get_ip() + def setup(self) -> None: """Initialize the NIXL connector backend. @@ -20,7 +42,7 @@ def setup(self) -> None: ValueError: If the current vLLM version doesn't support the required NIXL environment variables. """ - from vllm import envs as vllm_envs, utils as vllm_utils + from vllm import envs as vllm_envs if ( "VLLM_NIXL_SIDE_CHANNEL_PORT" not in vllm_envs.environment_variables @@ -32,11 +54,8 @@ def setup(self) -> None: "that you are using an older version of vLLM." ) - if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_PORT"): - port: int = vllm_utils.get_open_port() - os.environ["VLLM_NIXL_SIDE_CHANNEL_PORT"] = str(port) - if not vllm_envs.is_set("VLLM_NIXL_SIDE_CHANNEL_HOST"): - os.environ["VLLM_NIXL_SIDE_CHANNEL_HOST"] = vllm_utils.get_ip() + self._set_side_channel_port() + self._set_side_channel_host() # We need to overwrite the engine_id to make it unique across replicas. engine_id = self.kv_transfer_config.get("engine_id", self._get_unique_suffix()) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 081b0b2b6807..36a5444fc564 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -1,3 +1,4 @@ +import copy import dataclasses import os from typing import Any, Dict, List, Optional @@ -201,7 +202,7 @@ def placement_bundles(self) -> List[Dict[str, float]]: bundle = {"GPU": 1} if self.accelerator_type: bundle[self.ray_accelerator_type()] = 0.001 - bundles = [bundle for _ in range(self.num_devices)] + bundles = [copy.deepcopy(bundle) for _ in range(self.num_devices)] return bundles diff --git a/python/ray/llm/tests/serve/cpu/configs/test_models.py b/python/ray/llm/tests/serve/cpu/configs/test_models.py index 6f5bfab6d1b6..b88ca0524029 100644 --- a/python/ray/llm/tests/serve/cpu/configs/test_models.py +++ b/python/ray/llm/tests/serve/cpu/configs/test_models.py @@ -178,8 +178,7 @@ def test_get_serve_options_with_accelerator_type(self): "max_replicas": 10, } assert serve_options["placement_group_bundles"] == [ - {"CPU": 1, "GPU": 0}, - {"GPU": 1, "accelerator_type:A100-40G": 0.001}, + {"CPU": 1, "GPU": 1, "accelerator_type:A100-40G": 0.001}, ] assert serve_options["placement_group_strategy"] == "STRICT_PACK" assert serve_options["name"] == "Test:test_model" @@ -214,10 +213,7 @@ def test_get_serve_options_without_accelerator_type(self): "initial_replicas": 1, "max_replicas": 10, } - assert serve_options["placement_group_bundles"] == [ - {"CPU": 1, "GPU": 0}, - {"GPU": 1}, - ] + assert serve_options["placement_group_bundles"] == [{"CPU": 1, "GPU": 1}] assert serve_options["placement_group_strategy"] == "STRICT_PACK" assert serve_options["name"] == "Test:test_model" @@ -239,8 +235,9 @@ def test_resources_per_bundle(self): model_loading_config=dict(model_id="test_model"), engine_kwargs=dict(tensor_parallel_size=3, pipeline_parallel_size=2), ).get_serve_options(name_prefix="Test:") - assert serve_options["placement_group_bundles"] == [{"CPU": 1, "GPU": 0}] + [ - {"GPU": 1} for _ in range(6) + + assert serve_options["placement_group_bundles"] == [{"CPU": 1, "GPU": 1}] + [ + {"GPU": 1} for _ in range(5) ] # Test the custom resource bundle @@ -249,9 +246,9 @@ def test_resources_per_bundle(self): engine_kwargs=dict(tensor_parallel_size=3, pipeline_parallel_size=2), resources_per_bundle={"XPU": 1}, ).get_serve_options(name_prefix="Test:") - assert serve_options["placement_group_bundles"] == [{"CPU": 1, "GPU": 0}] + [ - {"XPU": 1} for _ in range(6) - ] + assert serve_options["placement_group_bundles"] == [ + {"CPU": 1, "GPU": 0, "XPU": 1} + ] + [{"XPU": 1} for _ in range(5)] def test_engine_config_cached(self): """Test that the engine config is cached and not recreated when calling From 5e0de84e9cbaa8dd87719a7162904d0e2d9e623c Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Fri, 22 Aug 2025 07:47:20 -0700 Subject: [PATCH 0813/1566] [Core] Bind grpc servers to specified ip instead of 0.0.0.0 (#55484) Signed-off-by: avigyabb Signed-off-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/tests/test_autoscaler.py | 2 +- python/ray/tests/test_multi_node_3.py | 2 +- src/ray/core_worker/core_worker_process.cc | 6 ++---- src/ray/core_worker/tests/core_worker_test.cc | 4 ++-- src/ray/gcs/gcs_server/gcs_server.cc | 2 +- .../gcs_server/tests/gcs_health_check_manager_test.cc | 2 +- src/ray/object_manager/object_manager.cc | 2 +- src/ray/raylet/node_manager.cc | 5 ++--- src/ray/raylet/tests/node_manager_test.cc | 2 ++ src/ray/rpc/grpc_server.cc | 3 +-- src/ray/rpc/grpc_server.h | 11 +++++------ src/ray/rpc/tests/grpc_bench/grpc_bench.cc | 2 +- src/ray/rpc/tests/grpc_server_client_test.cc | 2 +- 13 files changed, 21 insertions(+), 24 deletions(-) diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index a728071528c2..506327bd6980 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -3517,7 +3517,7 @@ def __init__(self, *args, **kwargs): _internal_kv_initialized=Mock(return_value=False), ): monitor = Monitor( - address="localhost:12345", + address=f"{ray.util.get_node_ip_address()}:12345", autoscaling_config="", log_dir=self.tmpdir, ) diff --git a/python/ray/tests/test_multi_node_3.py b/python/ray/tests/test_multi_node_3.py index f741baa7bef0..8c89115e2bda 100644 --- a/python/ray/tests/test_multi_node_3.py +++ b/python/ray/tests/test_multi_node_3.py @@ -241,7 +241,7 @@ def f(): indirect=True, ) def test_using_hostnames(call_ray_start): - ray.init(_node_ip_address="localhost", address="localhost:6379") + ray.init(address=call_ray_start) @ray.remote def f(): diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index c870835c47bd..fa3f1ef415e1 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -247,10 +247,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::move(raylet_address), *client_call_manager, /*raylet_unavailable_timeout_callback=*/[] {}); - auto core_worker_server = - std::make_unique(WorkerTypeString(options.worker_type), - assigned_port, - options.node_ip_address == "127.0.0.1"); + auto core_worker_server = std::make_unique( + WorkerTypeString(options.worker_type), assigned_port, options.node_ip_address); // Start RPC server after all the task receivers are properly initialized and we have // our assigned port from the raylet. core_worker_server->RegisterService( diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 0fa7170c1838..f3f538e4191e 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -104,8 +104,8 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { auto service_handler = std::make_unique(); auto worker_context = std::make_unique( WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(1)); - auto core_worker_server = - std::make_unique(WorkerTypeString(options.worker_type), 0, true); + auto core_worker_server = std::make_unique( + WorkerTypeString(options.worker_type), 0, "127.0.0.1"); core_worker_server->RegisterService( std::make_unique(io_service_, *service_handler), false /* token_auth */); diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 95d0a52496e3..f31db35d8696 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -61,7 +61,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, storage_type_(GetStorageType()), rpc_server_(config.grpc_server_name, config.grpc_server_port, - config.node_ip_address == "127.0.0.1", + config.node_ip_address, ClusterID::Nil(), config.grpc_server_thread_num, /*keepalive_time_ms=*/RayConfig::instance().grpc_keepalive_time_ms()), diff --git a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc index 8ca66a12522f..ed376e4224b0 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc @@ -88,7 +88,7 @@ class GcsHealthCheckManagerTest : public ::testing::Test { auto node_id = NodeID::FromRandom(); auto port = GetFreePort(); RAY_LOG(INFO) << "Get port " << port; - auto server = std::make_shared(node_id.Hex(), port, true); + auto server = std::make_shared(node_id.Hex(), port, "127.0.0.1"); auto channel = grpc::CreateChannel(BuildAddress("localhost", port), grpc::InsecureChannelCredentials()); diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 53b18b32d11c..6abe66bd2ea6 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -107,7 +107,7 @@ ObjectManager::ObjectManager( rpc_work_(rpc_service_.get_executor()), object_manager_server_("ObjectManager", config_.object_manager_port, - config_.object_manager_address == "127.0.0.1", + config_.object_manager_address, ClusterID::Nil(), config_.rpc_service_threads_number), client_call_manager_(main_service, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 51c5d204e481..3880f3fe3215 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -160,9 +160,8 @@ NodeManager::NodeManager( RAY_UNUSED(execute_after( io_service_, fn, std::chrono::milliseconds(delay_ms))); }), - node_manager_server_("NodeManager", - config.node_manager_port, - config.node_manager_address == "127.0.0.1"), + node_manager_server_( + "NodeManager", config.node_manager_port, config.node_manager_address), local_object_manager_(local_object_manager), leased_workers_(leased_workers), high_plasma_storage_usage_(RayConfig::instance().high_plasma_storage_usage()), diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 7041b4152ee0..36b263b87207 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -389,6 +389,8 @@ class NodeManagerTest : public ::testing::Test { })"); NodeManagerConfig node_manager_config{}; + node_manager_config.node_manager_address = "127.0.0.1"; + node_manager_config.node_manager_port = 0; node_manager_config.maximum_startup_concurrency = 1; node_manager_config.store_socket_name = "test_store_socket"; diff --git a/src/ray/rpc/grpc_server.cc b/src/ray/rpc/grpc_server.cc index 047ff734e94b..c644dc85280e 100644 --- a/src/ray/rpc/grpc_server.cc +++ b/src/ray/rpc/grpc_server.cc @@ -62,8 +62,7 @@ void GrpcServer::Shutdown() { void GrpcServer::Run() { uint32_t specified_port = port_; - std::string server_address = - BuildAddress((listen_to_localhost_only_ ? "127.0.0.1" : "0.0.0.0"), port_); + std::string server_address = BuildAddress(ip_address_, port_); grpc::ServerBuilder builder; // Disable the SO_REUSEPORT option. We don't need it in ray. If the option is enabled // (default behavior in grpc), we may see multiple workers listen on the same port and diff --git a/src/ray/rpc/grpc_server.h b/src/ray/rpc/grpc_server.h index 686c4a68b2a4..56566569c359 100644 --- a/src/ray/rpc/grpc_server.h +++ b/src/ray/rpc/grpc_server.h @@ -95,14 +95,14 @@ class GrpcServer { /// GrpcServer(std::string name, const uint32_t port, - bool listen_to_localhost_only, + std::string ip_address, const ClusterID &cluster_id = ClusterID::Nil(), int num_threads = 1, int64_t keepalive_time_ms = 7200000 /*2 hours, grpc default*/) : name_(std::move(name)), port_(port), - listen_to_localhost_only_(listen_to_localhost_only), - cluster_id_(ClusterID::Nil()), + ip_address_(std::move(ip_address)), + cluster_id_(cluster_id), is_shutdown_(true), num_threads_(num_threads), keepalive_time_ms_(keepalive_time_ms) { @@ -161,9 +161,8 @@ class GrpcServer { const std::string name_; /// Port of this server. int port_; - /// Listen to localhost (127.0.0.1) only if it's true, otherwise listen to all network - /// interfaces (0.0.0.0) - const bool listen_to_localhost_only_; + /// IP address of this server. + const std::string ip_address_; /// Token representing ID of this cluster. ClusterID cluster_id_; /// Indicates whether this server is in shutdown state. diff --git a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc index 86b8e7ef4e27..f1268c93d764 100644 --- a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc +++ b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc @@ -71,7 +71,7 @@ int main() { const auto env = std::getenv("GRPC_SERVER_CPUS"); const auto parallelism = env ? std::atoi(env) : std::thread::hardware_concurrency(); - GrpcServer server("grpc_bench", 50051, false, ClusterID::Nil(), parallelism); + GrpcServer server("grpc_bench", 50051, "0.0.0.0", ClusterID::Nil(), parallelism); instrumented_io_context main_service; std::thread t([&main_service] { boost::asio::executor_work_guard work( diff --git a/src/ray/rpc/tests/grpc_server_client_test.cc b/src/ray/rpc/tests/grpc_server_client_test.cc index b020b7b45b8b..c4bbd1e42033 100644 --- a/src/ray/rpc/tests/grpc_server_client_test.cc +++ b/src/ray/rpc/tests/grpc_server_client_test.cc @@ -111,7 +111,7 @@ class TestGrpcServerClientFixture : public ::testing::Test { handler_io_service_work_(handler_io_service_.get_executor()); handler_io_service_.run(); }); - grpc_server_.reset(new GrpcServer("test", 0, true)); + grpc_server_.reset(new GrpcServer("test", 0, "127.0.0.1")); grpc_server_->RegisterService( std::make_unique(handler_io_service_, test_service_handler_), false); From fc4893599da77d20daccf49d073aacc3d79a1c8f Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 22 Aug 2025 11:44:56 -0500 Subject: [PATCH 0814/1566] [core] Move Redis health check runner back to GCS server main (#55812) TSAN tests are failing after my refactor PR: https://github.com/ray-project/ray/pull/55655 This is because the `PeriodicalRunner` does not wait for any spawned async tasks to complete in its destructor. In the current setup, after the `PeriodicalRunner` is destroyed, the `RedisStoreClient` is immediately destroyed. However, there may still be tasks on the IO service that didn't get cancelled and will try to access the `RedisStoreClient`, leading to invalid memory accesses. Simplest fix is to move the `PeriodicalRunner` back to `gcs_server.cc` and capture a shared pointer to the client in the callback. I also considered fixing the `PeriodicalRunner` destructor, but that code is hard to navigate right now. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/includes/global_state_accessor.pxd | 4 +- src/ray/gcs/gcs_server/gcs_server.cc | 53 +++++++++++-------- src/ray/gcs/gcs_server/gcs_server.h | 3 +- .../gcs/store_client/redis_store_client.cc | 15 ------ src/ray/gcs/store_client/redis_store_client.h | 11 +--- 5 files changed, 35 insertions(+), 51 deletions(-) diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index 7d115b469ce9..38a6703cf25f 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -99,9 +99,7 @@ cdef extern from * namespace "ray::gcs" nogil: RayConfig::instance().initialize(config_list); instrumented_io_context io_service{/*enable_lag_probe=*/false, /*running_on_single_thread=*/true}; - // Set heartbeat_interval_ms to 0 to disable health checking for this temporary client. - RedisClientOptions options{host, port, username, password, use_ssl, /*heartbeat_interval_ms=*/0}; - + RedisClientOptions options{host, port, username, password, use_ssl}; auto client = std::make_unique( std::make_unique(io_service, options)); diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index f31db35d8696..503414c9685a 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -122,14 +122,29 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, // GcsInternalKVManager, to avoid congestion on the latter. RAY_LOG(INFO) << "GCS storage type is " << storage_type_; auto &io_context = io_context_provider_.GetDefaultIOContext(); - std::unique_ptr store_client; + std::shared_ptr store_client; switch (storage_type_) { case StorageType::IN_MEMORY: store_client = - std::make_unique(std::make_unique()); + std::make_shared(std::make_unique()); break; case StorageType::REDIS_PERSIST: { - store_client = CreateRedisStoreClient(io_context); + auto redis_store_client = + std::make_shared(io_context, GetRedisClientOptions()); + // Health check Redis periodically and crash if it becomes unavailable. + // NOTE: periodical_runner_ must run on the same IO context as the Redis client. + periodical_runner_->RunFnPeriodically( + [redis_store_client, &io_context] { + redis_store_client->AsyncCheckHealth( + {[](const Status &status) { + RAY_CHECK_OK(status) << "Redis connection failed unexpectedly."; + }, + io_context}); + }, + RayConfig::instance().gcs_redis_heartbeat_interval_milliseconds(), + "GCSServer.redis_health_check"); + + store_client = redis_store_client; break; } default: @@ -590,24 +605,25 @@ void GcsServer::InitUsageStatsClient() { } void GcsServer::InitKVManager() { - // TODO(yic): Use a factory with configs - std::unique_ptr instance; auto &io_context = io_context_provider_.GetIOContext(); + std::unique_ptr store_client; switch (storage_type_) { case (StorageType::REDIS_PERSIST): - instance = - std::make_unique(CreateRedisStoreClient(io_context)); + store_client = + std::make_unique(io_context, GetRedisClientOptions()); break; case (StorageType::IN_MEMORY): - instance = std::make_unique( - std::make_unique(std::make_unique())); + store_client = + std::make_unique(std::make_unique()); break; default: RAY_LOG(FATAL) << "Unexpected storage type! " << storage_type_; } kv_manager_ = std::make_unique( - std::move(instance), config_.raylet_config_list, io_context); + std::make_unique(std::move(store_client)), + config_.raylet_config_list, + io_context); kv_manager_->GetInstance().Put( "", @@ -873,17 +889,12 @@ std::string GcsServer::GetDebugState() const { return stream.str(); } -std::unique_ptr GcsServer::CreateRedisStoreClient( - instrumented_io_context &io_service) { - return std::make_unique( - io_service, - RedisClientOptions{ - config_.redis_address, - config_.redis_port, - config_.redis_username, - config_.redis_password, - config_.enable_redis_ssl, - RayConfig::instance().gcs_redis_heartbeat_interval_milliseconds()}); +RedisClientOptions GcsServer::GetRedisClientOptions() { + return RedisClientOptions{config_.redis_address, + config_.redis_port, + config_.redis_username, + config_.redis_password, + config_.enable_redis_ssl}; } void GcsServer::PrintAsioStats() { diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 85a02d75f8b2..25b3bdea7d9a 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -213,8 +213,7 @@ class GcsServer { /// Print the asio event loop stats for debugging. void PrintAsioStats(); - std::unique_ptr CreateRedisStoreClient( - instrumented_io_context &io_service); + RedisClientOptions GetRedisClientOptions(); void TryGlobalGC(); diff --git a/src/ray/gcs/store_client/redis_store_client.cc b/src/ray/gcs/store_client/redis_store_client.cc index 2be5d86ee10f..f564481ea2cf 100644 --- a/src/ray/gcs/store_client/redis_store_client.cc +++ b/src/ray/gcs/store_client/redis_store_client.cc @@ -140,23 +140,8 @@ RedisStoreClient::RedisStoreClient(instrumented_io_context &io_service, RAY_CHECK(!absl::StrContains(external_storage_namespace_, kClusterSeparator)) << "Storage namespace (" << external_storage_namespace_ << ") shouldn't contain " << kClusterSeparator << "."; - - // Health check Redis periodically and crash if it becomes unavailable. - periodic_health_check_runner_ = PeriodicalRunner::Create(io_service_); - periodic_health_check_runner_->RunFnPeriodically( - [this] { - AsyncCheckHealth({[](const Status &status) { - RAY_CHECK_OK(status) - << "Redis connection failed unexpectedly."; - }, - io_service_}); - }, - options.heartbeat_interval_ms, - "RedisStoreClient.redis_health_check"); } -RedisStoreClient::~RedisStoreClient() { periodic_health_check_runner_.reset(); } - Status RedisStoreClient::AsyncPut(const std::string &table_name, const std::string &key, std::string data, diff --git a/src/ray/gcs/store_client/redis_store_client.h b/src/ray/gcs/store_client/redis_store_client.h index ec7b5535b3b5..6456ee606d86 100644 --- a/src/ray/gcs/store_client/redis_store_client.h +++ b/src/ray/gcs/store_client/redis_store_client.h @@ -26,7 +26,6 @@ #include "absl/synchronization/mutex.h" #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/common/asio/postable.h" #include "ray/gcs/store_client/redis_context.h" #include "ray/gcs/store_client/store_client.h" @@ -102,11 +101,6 @@ struct RedisClientOptions { // Whether to use TLS/SSL for the connection. bool enable_ssl = false; - - // The interval between health checks to Redis. - // If a health check fails, the client will crash the process. - // Set to 0 to disable health checking. - uint64_t heartbeat_interval_ms = 1000; }; // StoreClient using Redis as persistence backend. @@ -140,7 +134,6 @@ class RedisStoreClient : public StoreClient { /// \param options The options for connecting to Redis. explicit RedisStoreClient(instrumented_io_context &io_service, const RedisClientOptions &options); - ~RedisStoreClient(); Status AsyncPut(const std::string &table_name, const std::string &key, @@ -179,12 +172,12 @@ class RedisStoreClient : public StoreClient { const std::string &key, Postable callback) override; - private: // Check if Redis is available. // // \param callback The callback that will be called with a Status. OK means healthy. void AsyncCheckHealth(Postable callback); + private: /// \class RedisScanner /// /// This class is used to HSCAN data from a Redis table. @@ -305,8 +298,6 @@ class RedisStoreClient : public StoreClient { // The following context writes everything to the primary shard. std::shared_ptr primary_context_; - std::shared_ptr periodic_health_check_runner_; - absl::Mutex mu_; // The pending redis requests queue for each key. From 4b2709f0f046e957e20fe6d008d706063384bbec Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Sat, 23 Aug 2025 01:32:21 +0800 Subject: [PATCH 0815/1566] [Core][Raylet] Remove redundant std::move (#55839) Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- src/ray/raylet/main.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 3af97a4c55d5..4ce139301327 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -776,7 +776,7 @@ int main(int argc, char *argv[]) { RAY_CHECK(node_info) << "No GCS info for node " << id; auto addr = ray::rpc::RayletClientPool::GenerateRayletAddress( id, node_info->node_manager_address(), node_info->node_manager_port()); - return raylet_client_pool->GetOrConnectByAddress(std::move(addr)); + return raylet_client_pool->GetOrConnectByAddress(addr); }; plasma_client = std::make_unique(); From a44c5a55d38ab0818bf650e8a9195c183cf4402a Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 23 Aug 2025 01:52:50 +0800 Subject: [PATCH 0816/1566] [DOC][Train] Fix typo for Instantiating in ray train doc (#55826) Signed-off-by: Potato Signed-off-by: Douglas Strodtman --- doc/source/train/user-guides/data-loading-preprocessing.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/train/user-guides/data-loading-preprocessing.rst b/doc/source/train/user-guides/data-loading-preprocessing.rst index 5db4669578ad..9e95dd1445e9 100644 --- a/doc/source/train/user-guides/data-loading-preprocessing.rst +++ b/doc/source/train/user-guides/data-loading-preprocessing.rst @@ -322,7 +322,7 @@ For more details, see the following sections for each framework: .. tip:: When using Torch or Hugging Face Datasets directly without Ray Data, make sure to instantiate your Dataset *inside* the ``train_loop_per_worker``. - Instatiating the Dataset outside of the ``train_loop_per_worker`` and passing it in via global scope + Instantiating the Dataset outside of the ``train_loop_per_worker`` and passing it in via global scope can cause errors due to the Dataset not being serializable. .. note:: From 5c1ed1c8c8e9f64216b16844e33616af5dbae182 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Fri, 22 Aug 2025 12:33:45 -0700 Subject: [PATCH 0817/1566] [Train] move collective implementations to train_fn_utils (#55689) This PR moves the implementations of collectives to `TrainFnUtils`. This would unblock the local mode that is introduced in https://github.com/ray-project/ray/pull/55487 --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/train/collective/collectives.py | 44 +-------------- .../v2/_internal/execution/collective_impl.py | 56 +++++++++++++++++++ .../v2/_internal/execution/train_fn_utils.py | 19 +++++++ python/ray/train/v2/tests/test_collective.py | 10 ++-- python/ray/train/v2/tests/test_persistence.py | 17 +----- 5 files changed, 85 insertions(+), 61 deletions(-) create mode 100644 python/ray/train/v2/_internal/execution/collective_impl.py diff --git a/python/ray/train/collective/collectives.py b/python/ray/train/collective/collectives.py index 3b06fc369e32..8c3dc0e43916 100644 --- a/python/ray/train/collective/collectives.py +++ b/python/ray/train/collective/collectives.py @@ -1,18 +1,9 @@ import logging from typing import Optional, TypeVar -import ray -import ray.cloudpickle as pickle -from ray.train.v2._internal.execution.context import ( - get_train_context as get_internal_train_context, -) from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.util.annotations import PublicAPI -# For reference, {1:1} is 19 bytes, {"1":"1"} is 21 bytes, -# and {"12345": "12345"} is 25 bytes. -_MAX_BROADCAST_SIZE_BYTES = 1000 - T = TypeVar("T", bound=Optional[object]) @@ -59,29 +50,7 @@ def train_func(): pickle.PicklingError: If the data is not pickleable. TypeError: If the data is not pickleable. """ - # Validate data. - if data is not None: - data_bytes = len(pickle.dumps(data)) - if data_bytes > _MAX_BROADCAST_SIZE_BYTES: - logger.warning( - f"Data size {data_bytes} bytes exceeds the maximum broadcast " - f"size of {_MAX_BROADCAST_SIZE_BYTES} bytes" - ) - - # Send data to all workers. - # TODO (xgui): We should not expose get_synchronization_actor() from internal_context here. - # Maybe create one public barrier API inside `TrainFnUtils` - sync_actor = get_internal_train_context().get_synchronization_actor() - train_context = get_train_fn_utils().get_context() - - return ray.get( - sync_actor.broadcast_from_rank_zero.remote( - world_rank=train_context.get_world_rank(), - world_size=train_context.get_world_size(), - data=data, - caller_method_name="ray.train.collective.broadcast_from_rank_zero", - ) - ) + return get_train_fn_utils().broadcast_from_rank_zero(data) @PublicAPI(stability="alpha") @@ -109,13 +78,4 @@ def train_func(): trainer = TorchTrainer(train_func) trainer.fit() """ - train_context = get_train_fn_utils().get_context() - sync_actor = get_internal_train_context().get_synchronization_actor() - return ray.get( - sync_actor.broadcast_from_rank_zero.remote( - world_rank=train_context.get_world_rank(), - world_size=train_context.get_world_size(), - data=None, - caller_method_name="ray.train.collective.barrier", - ) - ) + return get_train_fn_utils().barrier() diff --git a/python/ray/train/v2/_internal/execution/collective_impl.py b/python/ray/train/v2/_internal/execution/collective_impl.py new file mode 100644 index 000000000000..0d91567046aa --- /dev/null +++ b/python/ray/train/v2/_internal/execution/collective_impl.py @@ -0,0 +1,56 @@ +import logging +from typing import Any + +import ray +import ray.cloudpickle as pickle +from ray.train.v2._internal.execution.context import get_train_context + +# For reference, {1:1} is 19 bytes, {"1":"1"} is 21 bytes, +# and {"12345": "12345"} is 25 bytes. +_MAX_BROADCAST_SIZE_BYTES = 1000 + + +logger = logging.getLogger(__name__) + + +def barrier() -> None: + """ + Create a barrier across all training workers. + """ + train_context = get_train_context() + sync_actor = train_context.get_synchronization_actor() + return ray.get( + sync_actor.broadcast_from_rank_zero.remote( + world_rank=train_context.get_world_rank(), + world_size=train_context.get_world_size(), + data=None, + caller_method_name="ray.train.collective.barrier", + ) + ) + + +def broadcast_from_rank_zero(data: Any) -> Any: + """Broadcast data from the rank 0 worker to all other workers. + + This method is used by the public API function :func:`ray.train.collective.broadcast_from_rank_zero`. + Users should typically call ``ray.train.collective.broadcast_from_rank_zero()`` instead of calling this method directly. + """ + # Validate data. + if data is not None: + data_bytes = len(pickle.dumps(data)) + if data_bytes > _MAX_BROADCAST_SIZE_BYTES: + logger.warning( + f"Data size {data_bytes} bytes exceeds the maximum broadcast " + f"size of {_MAX_BROADCAST_SIZE_BYTES} bytes" + ) + + train_context = get_train_context() + sync_actor = train_context.get_synchronization_actor() + return ray.get( + sync_actor.broadcast_from_rank_zero.remote( + world_rank=train_context.get_world_rank(), + world_size=train_context.get_world_size(), + data=data, + caller_method_name="ray.train.collective.broadcast_from_rank_zero", + ) + ) diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 28bf683fda2d..c960b32b5f45 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -3,6 +3,7 @@ from ray.data import DataIterator from ray.train import Checkpoint +from ray.train.v2._internal.execution import collective_impl from ray.train.v2._internal.execution.context import ( get_train_context as get_internal_train_context, ) @@ -62,6 +63,24 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: def get_context(self) -> ExternalTrainContext: return ExternalTrainContext() + def barrier(self) -> None: + """Create a barrier across all workers. + + All workers must call this method before the training function can continue. + + This method is used by the public API function :func:`ray.train.collective.barrier`. + Users should typically call ``ray.train.collective.barrier()`` instead of calling this method directly. + """ + return collective_impl.barrier() + + def broadcast_from_rank_zero(self, data: Any) -> Any: + """Broadcast data from the rank 0 worker to all other workers. + + This method is used by the public API function :func:`ray.train.collective.broadcast_from_rank_zero`. + Users should typically call ``ray.train.collective.broadcast_from_rank_zero()`` instead of calling this method directly. + """ + return collective_impl.broadcast_from_rank_zero(data) + _train_fn_utils: Optional[TrainFnUtils] = None _train_fn_utils_lock = threading.Lock() diff --git a/python/ray/train/v2/tests/test_collective.py b/python/ray/train/v2/tests/test_collective.py index d8196ea420a5..046eedf2f979 100644 --- a/python/ray/train/v2/tests/test_collective.py +++ b/python/ray/train/v2/tests/test_collective.py @@ -4,7 +4,7 @@ import ray import ray.train.collective -from ray.train.collective import collectives +from ray.train.v2._internal.execution import collective_impl from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer @@ -49,12 +49,14 @@ def train_fn(): def test_broadcast_from_rank_zero_data_too_big(ray_start_4_cpus): def train_fn(): - collectives.logger = mock.create_autospec(collectives.logger, instance=True) - collectives._MAX_BROADCAST_SIZE_BYTES = 0 + collective_impl.logger = mock.create_autospec( + collective_impl.logger, instance=True + ) + collective_impl._MAX_BROADCAST_SIZE_BYTES = 0 rank = ray.train.get_context().get_world_rank() value = ray.train.collective.broadcast_from_rank_zero({"key": rank}) assert value == {"key": 0} - collectives.logger.warning.assert_called_once() + collective_impl.logger.warning.assert_called_once() trainer = DataParallelTrainer( train_fn, diff --git a/python/ray/train/v2/tests/test_persistence.py b/python/ray/train/v2/tests/test_persistence.py index 84468f1ea57a..b1891bbc6e89 100644 --- a/python/ray/train/v2/tests/test_persistence.py +++ b/python/ray/train/v2/tests/test_persistence.py @@ -14,6 +14,7 @@ import ray import ray.train +import ray.train.collective from ray._common.test_utils import simulate_s3_bucket from ray.air._internal.uri_utils import URI from ray.train import ( @@ -24,11 +25,7 @@ ScalingConfig, ) from ray.train.v2._internal.constants import HEALTH_CHECK_INTERVAL_S_ENV_VAR -from ray.train.v2._internal.execution.context import ( - get_train_context as get_internal_train_context, -) from ray.train.v2._internal.execution.storage import _download_from_fs_path -from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer @@ -215,17 +212,7 @@ def train_fn(config): # which will cause the test assertions to fail. # This should be fixed by forcing a queue flush on all workers before # executing the failure decisions. - sync_actor = get_internal_train_context().get_synchronization_actor() - train_context = get_train_fn_utils().get_context() - - ray.get( - sync_actor.broadcast_from_rank_zero.remote( - world_rank=train_context.get_world_rank(), - world_size=train_context.get_world_size(), - data="barrier", - caller_method_name="caller_method_name", - ) - ) + ray.train.collective.barrier() if i in config.get("fail_iters", []): raise RuntimeError(f"Failing on iter={i}!!") From 3f806e69e24a9d55407a650c1879624e69d9b437 Mon Sep 17 00:00:00 2001 From: Goku Mohandas Date: Fri, 22 Aug 2025 13:46:49 -0700 Subject: [PATCH 0818/1566] added uv support (#55821) Signed-off-by: Douglas Strodtman --- .../.anyscaleignore | 18 + .../e2e-multimodal-ai-workloads/.gitignore | 103 + .../e2e-multimodal-ai-workloads/README.ipynb | 32 +- .../e2e-multimodal-ai-workloads/README.md | 31 +- .../e2e-multimodal-ai-workloads/ci/build.sh | 2 +- .../configs/generate_embeddings.yaml | 71 + .../configs/service.yaml | 69 + .../configs/train_model.yaml | 71 + .../e2e-multimodal-ai-workloads/containerfile | 4 +- .../doggos/{ => doggos}/__init__.py | 0 .../doggos/{ => doggos}/data.py | 9 +- .../doggos/{ => doggos}/embed.py | 9 +- .../doggos/{ => doggos}/infer.py | 0 .../doggos/{ => doggos}/model.py | 0 .../doggos/{ => doggos}/serve.py | 41 +- .../doggos/{ => doggos}/train.py | 2 +- .../doggos/{ => doggos}/utils.py | 0 .../doggos/pyproject.toml | 13 + .../notebooks/01-Batch-Inference.ipynb | 405 +- .../notebooks/02-Distributed-Training.ipynb | 3543 ++++++++++++++--- .../notebooks/03-Online-Serving.ipynb | 206 +- .../pyproject.toml | 22 + .../requirements.txt | 6 +- .../e2e-multimodal-ai-workloads/uv.lock | 3506 ++++++++++++++++ 24 files changed, 7383 insertions(+), 780 deletions(-) create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.anyscaleignore create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.gitignore create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/generate_embeddings.yaml create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/service.yaml create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/train_model.yaml rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/__init__.py (100%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/data.py (83%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/embed.py (94%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/infer.py (100%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/model.py (100%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/serve.py (83%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/train.py (99%) rename doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/{ => doggos}/utils.py (100%) create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/pyproject.toml create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/pyproject.toml create mode 100644 doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/uv.lock diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.anyscaleignore b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.anyscaleignore new file mode 100644 index 000000000000..30c59efc983b --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.anyscaleignore @@ -0,0 +1,18 @@ +# This file is used to exclude files from Anyscale Workspaces snapshots. +# Use this to prevent large or unnecessary files from being included in your snapshots, +# which helps reduce snapshot size and creation time. See documentation for more details: +# https://docs.anyscale.com/platform/workspaces/workspaces-files/#excluding-files-with-anyscaleignore +# +# Syntax examples: +# *.txt # Ignore files with a .txt extension at the same level as `.anyscaleignore`. +# **/*.txt # Ignore files with a .txt extension in ANY directory. +# folder/ # Ignore all files under "folder/". The slash at the end is optional. +# folder/*.txt # Ignore files with a .txt extension under "folder/". +# path/to/filename.py # Ignore a specific file by providing its relative path. +# file_[1,2].txt # Ignore file_1.txt and file_2.txt. + +# Exclude Python virtual environments (.venv/) from snapshots. Virtual environments contain +# all installed Python dependencies, which can be multiple gigabytes in size. These directories +# are typically recreatable from requirements files and don't need to be included in snapshots. +# The ** pattern ensures all .venv directories are excluded regardless of location in your project. +**/.venv/ diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.gitignore b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.gitignore new file mode 100644 index 000000000000..a9fffb1a10c6 --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/.gitignore @@ -0,0 +1,103 @@ +# VSCode +.vscode/ +.idea + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Flask: +instance/ +.webassets-cache + +# Scrapy: +.scrapy + +# Sphinx +docs/_build/ + +# PyBuilder +target/ + +# IPython +.ipynb_checkpoints +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# PEP 582 +__pypackages__/ + +# Celery +celerybeat-schedule +celerybeat.pid + +# Environment +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# mkdocs +site/ + +# Airflow +airflow/airflow.db + +# MacOS +.DS_Store + +# Clean up +.trash/ \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb index 2559cc045ccd..dbf5eeb84d69 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.ipynb @@ -18,7 +18,7 @@ "
    \n", "\n", "💻 Run this entire tutorial on [Anyscale](https://www.anyscale.com/) for free:\n", - "**https://console.anyscale.com/template-preview/image-search-and-classification**\n", + "**https://console.anyscale.com/template-preview/image-search-and-classification** or access the repository [here](https://github.com/ray-project/ray/tree/master/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads).\n", "\n", "This tutorial focuses on the fundamental challenges of multimodal AI workloads at scale:\n", "\n", @@ -42,6 +42,7 @@ "- **Development tools**: Spin up a remote session from your local IDE (Cursor, VS Code, etc.) and start coding, using the same tools you love but with the power of Anyscale's compute.\n", "- **Dependencies**: Install dependencies using familiar tools like pip or uv. Anyscale propagates all dependencies to the cluster's worker nodes.\n", "- **Compute**: Leverage any reserved instance capacity, spot instance from any compute provider of your choice by deploying Anyscale into your account. Alternatively, you can use the Anyscale cloud for a full serverless experience.\n", + " - Under the hood, a cluster spins up and is efficiently managed by Anyscale.\n", "- **Debugging**: Leverage a [distributed debugger](https://docs.anyscale.com/platform/workspaces/workspaces-debugging/#distributed-debugger) to get the same VS Code-like debugging experience.\n", "\n", "Learn more about Anyscale Workspaces in the [official documentation](https://docs.anyscale.com/platform/workspaces/).\n", @@ -50,11 +51,40 @@ " \n", "
    \n", "\n", + "### Additional dependencies\n", + "\n", + "You can choose to manage the additional dependencies through `uv` or `pip`. \n", + "\n", + "#### uv\n", + "\n", + "```bash\n", + "# UV setup instructions\n", + "uv init . # this creates pyproject.toml, uv lockfile, etc.\n", + "ray_wheel_url=http://localhost:9478/ray/$(pip freeze | grep -oP '^ray @ file:///home/ray/\\.whl/\\K.*')\n", + "uv add \"$ray_wheel_url[data, train, tune, serve]\" # to use anyscale's performant ray runtime\n", + "uv add $(grep -v '^\\s*#' requirements.txt)\n", + "uv add --editable ./doggos\n", + "```\n", + "\n", + "#### Pip\n", + "\n", + "```bash\n", + "# Pip setup instructions\n", + "pip install -q -r /home/ray/default/requirements.txt\n", + "pip install -e ./doggos\n", + "```\n", + "\n", "**Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/multimodal-ai/tree/main/containerfile) and provision the appropriate GPU resources.\n", "\n", "## Production\n", "Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability.\n", "\n", + "```bash\n", + "anyscale job submit -f /home/ray/default/configs/generate_embeddings.yaml\n", + "anyscale job submit -f /home/ray/default/configs/train_model.yaml\n", + "anyscale service deploy -f /home/ray/default/configs/service.yaml\n", + "```\n", + "\n", "## No infrastructure headaches\n", "Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard).\n", "Users running on a Kubernetes cloud (EKS, GKE, etc.) can still access the proprietary RayTurbo optimizations demonstrated in this tutorial by deploying the [Anyscale Kubernetes Operator](https://docs.anyscale.com/administration/cloud-deployment/kubernetes/)." diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md index 60b2e693cafa..ad77132b8cf7 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/README.md @@ -14,7 +14,7 @@ notebooks/03-Online-Serving
    💻 Run this entire tutorial on [Anyscale](https://www.anyscale.com/) for free: -**https://console.anyscale.com/template-preview/image-search-and-classification** +**https://console.anyscale.com/template-preview/image-search-and-classification** or access the repository [here](https://github.com/ray-project/ray/tree/master/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads). This tutorial focuses on the fundamental challenges of multimodal AI workloads at scale: @@ -47,11 +47,40 @@ Learn more about Anyscale Workspaces in the [official documentation](https://doc
    +### Additional dependencies + +You can choose to manage the additional dependencies through `uv` or `pip`. + +#### uv + +```bash +# UV setup instructions +uv init . # this creates pyproject.toml, uv lockfile, etc. +ray_wheel_url=http://localhost:9478/ray/$(pip freeze | grep -oP '^ray @ file:///home/ray/\.whl/\K.*') +uv add "$ray_wheel_url[data, train, tune, serve]" # to use anyscale's performant ray runtime +uv add $(grep -v '^\s*#' requirements.txt) +uv add --editable ./doggos +``` + +#### Pip + +```bash +# Pip setup instructions +pip install -q -r /home/ray/default/requirements.txt +pip install -e ./doggos +``` + **Note**: Run the entire tutorial for free on [Anyscale](https://console.anyscale.com/)—all dependencies come pre-installed, and compute autoscales automatically. To run it elsewhere, install the dependencies from the [`containerfile`](https://github.com/anyscale/multimodal-ai/tree/main/containerfile) and provision the appropriate GPU resources. ## Production Seamlessly integrate with your existing CI/CD pipelines by leveraging the Anyscale [CLI](https://docs.anyscale.com/reference/quickstart-cli) or [SDK](https://docs.anyscale.com/reference/quickstart-sdk) to deploy [highly available services](https://docs.anyscale.com/platform/services) and run [reliable batch jobs](https://docs.anyscale.com/platform/jobs). Developing in an environment nearly identical to production—a multi-node cluster—drastically accelerates the dev-to-prod transition. This tutorial also introduces proprietary RayTurbo features that optimize workloads for performance, fault tolerance, scale, and observability. +```bash +anyscale job submit -f /home/ray/default/configs/generate_embeddings.yaml +anyscale job submit -f /home/ray/default/configs/train_model.yaml +anyscale service deploy -f /home/ray/default/configs/service.yaml +``` + ## No infrastructure headaches Abstract away infrastructure from your ML/AI developers so they can focus on their core ML development. You can additionally better manage compute resources and costs with [enterprise governance and observability](https://www.anyscale.com/blog/enterprise-governance-observability) and [admin capabilities](https://docs.anyscale.com/administration/overview) so you can set [resource quotas](https://docs.anyscale.com/reference/resource-quotas/), set [priorities for different workloads](https://docs.anyscale.com/administration/cloud-deployment/global-resource-scheduler) and gain [observability of your utilization across your entire compute fleet](https://docs.anyscale.com/administration/resource-management/telescope-dashboard). diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh index bda0ef917f47..05ff13248bd7 100755 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh @@ -5,7 +5,7 @@ set -exo pipefail # Install Python dependencies pip3 install --no-cache-dir \ "matplotlib==3.10.0" \ - "torch==2.7.0" \ + "torch==2.7.1" \ "transformers==4.52.3" \ "scikit-learn==1.6.0" \ "mlflow==2.19.0" \ diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/generate_embeddings.yaml b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/generate_embeddings.yaml new file mode 100644 index 000000000000..fcb9020fe206 --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/generate_embeddings.yaml @@ -0,0 +1,71 @@ +# View the docs https://docs.anyscale.com/reference/job-api#jobconfig. + +name: image-batch-embeddings + +# When empty, use the default image. This can be an Anyscale-provided base image +# like anyscale/ray:2.43.0-slim-py312-cu125, a user-provided base image (provided +# that it meets certain specs), or you can build new images using the Anyscale +# image builder at https://console.anyscale-staging.com/v2/container-images. +image_uri: anyscale/ray:2.48.0-slim-py312-cu128 +# containerfile: /home/ray/default/containerfile + +# When empty, Anyscale will auto-select the instance types. You can also specify +# minimum and maximum resources. +compute_config: +# head_node: +# instance_type: m5.2xlarge +# worker_nodes: +# - instance_type: m5.16xlarge +# min_nodes: 0 +# max_nodes: 100 +# - instance_type: m7a.24xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# - instance_type: g4dn.2xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# min_resources: +# CPU: 100 +# GPU: 1 +# max_resources: +# CPU: 5000 +# GPU: 100 + +# Path to a local directory or a remote URI to a .zip file (S3, GS, HTTP) that +# will be the working directory for the job. The files in the directory will be +# automatically uploaded to the job environment in Anyscale. +working_dir: /home/ray/default +excludes: # (Optional) List of files to exclude from being packaged up for the job. + - .git + - .env + - .venv + - '**/*.egg-info/**' + - '**/.DS_Store/**' + - '**/__pycache__/**' + +requirements: # (Optional) List of requirements files to install. Can also be a path to a requirements.txt. + - ipywidgets==8.1.3 + - matplotlib==3.10.0 + - mlflow==2.19.0 + - torch==2.7.1 + - transformers==4.52.3 + - scikit-learn==1.6.0 +env_vars: # (Optional) Dictionary of environment variables to set in the job. + # MY_ENV_VAR: my_value + # ANOTHER_ENV_VAR: another_value +py_modules: # (Optional) A list of local directories or remote URIs that will be added to the Python path. + - /home/ray/default/doggos + # - /path/to/my_module + # - s3://my_bucket/my_module + +# When empty, this uses the default Anyscale Cloud in your organization. +cloud: + +# The script to run in your job. You can also do "uv run main.py" if you have a +# pyproject.toml file in your working_dir. +entrypoint: python doggos/doggos/embed.py # uv run doggos/doggos/embed.py # remove the requirements and py_modules + +# If there is an error, do not retry. +max_retries: 0 \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/service.yaml b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/service.yaml new file mode 100644 index 000000000000..c3b1d2abd4cb --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/service.yaml @@ -0,0 +1,69 @@ +# View the docs https://docs.anyscale.com/reference/service-api#serviceconfig. + +name: doggos-app + +# When empty, use the default image. This can be an Anyscale-provided base image +# like anyscale/ray:2.43.0-slim-py312-cu125, a user-provided base image (provided +# that it meets certain specs), or you can build new images using the Anyscale +# image builder at https://console.anyscale-staging.com/v2/container-images. +image_uri: anyscale/ray:2.48.0-slim-py312-cu128 +# containerfile: /home/ray/default/containerfile + +# When empty, Anyscale will auto-select the instance types. You can also specify +# minimum and maximum resources. +compute_config: +# head_node: +# instance_type: m5.2xlarge +# worker_nodes: +# - instance_type: m5.16xlarge +# min_nodes: 0 +# max_nodes: 100 +# - instance_type: m7a.24xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# - instance_type: g4dn.2xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# min_resources: +# CPU: 100 +# GPU: 1 +# max_resources: +# CPU: 5000 +# GPU: 100 + +# Path to a local directory or a remote URI to a .zip file (S3, GS, HTTP) that +# will be the working directory for the job. The files in the directory will be +# automatically uploaded to the job environment in Anyscale. +working_dir: /home/ray/default +excludes: # (Optional) List of files to exclude from being packaged up for the job. + - .git + - .env + - .venv + - '**/*.egg-info/**' + - '**/.DS_Store/**' + - '**/__pycache__/**' + +requirements: # (Optional) List of requirements files to install. Can also be a path to a requirements.txt. + - ipywidgets==8.1.3 + - matplotlib==3.10.0 + - mlflow==2.19.0 + - torch==2.7.1 + - transformers==4.52.3 + - scikit-learn==1.6.0 +env_vars: # (Optional) Dictionary of environment variables to set in the job. + # MY_ENV_VAR: my_value + # ANOTHER_ENV_VAR: another_value +py_modules: # (Optional) A list of local directories or remote URIs that will be added to the Python path. + - /home/ray/default/doggos + # - /path/to/my_module + # - s3://my_bucket/my_module +py_executable: python # uv run # remove the requirements and py_modules + +# When empty, this uses the default Anyscale Cloud in your organization. +cloud: + +# Speciy the Ray Serve app to deploy. +applications: +- import_path: doggos.serve:app \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/train_model.yaml b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/train_model.yaml new file mode 100644 index 000000000000..28305413a642 --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/configs/train_model.yaml @@ -0,0 +1,71 @@ +# View the docs https://docs.anyscale.com/reference/job-api#jobconfig. + +name: train-image-model + +# When empty, use the default image. This can be an Anyscale-provided base image +# like anyscale/ray:2.43.0-slim-py312-cu125, a user-provided base image (provided +# that it meets certain specs), or you can build new images using the Anyscale +# image builder at https://console.anyscale-staging.com/v2/container-images. +image_uri: anyscale/ray:2.48.0-slim-py312-cu128 +# containerfile: /home/ray/default/containerfile + +# When empty, Anyscale will auto-select the instance types. You can also specify +# minimum and maximum resources. +compute_config: +# head_node: +# instance_type: m5.2xlarge +# worker_nodes: +# - instance_type: m5.16xlarge +# min_nodes: 0 +# max_nodes: 100 +# - instance_type: m7a.24xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# - instance_type: g4dn.2xlarge +# min_nodes: 0 +# max_nodes: 100 +# market_type: PREFER_SPOT # Defaults to ON_DEMAND +# min_resources: +# CPU: 100 +# GPU: 1 +# max_resources: +# CPU: 5000 +# GPU: 100 + +# Path to a local directory or a remote URI to a .zip file (S3, GS, HTTP) that +# will be the working directory for the job. The files in the directory will be +# automatically uploaded to the job environment in Anyscale. +working_dir: /home/ray/default +excludes: # (Optional) List of files to exclude from being packaged up for the job. + - .git + - .env + - .venv + - '**/*.egg-info/**' + - '**/.DS_Store/**' + - '**/__pycache__/**' + +requirements: # (Optional) List of requirements files to install. Can also be a path to a requirements.txt. + - ipywidgets==8.1.3 + - matplotlib==3.10.0 + - mlflow==2.19.0 + - torch==2.7.1 + - transformers==4.52.3 + - scikit-learn==1.6.0 +env_vars: # (Optional) Dictionary of environment variables to set in the job. + # MY_ENV_VAR: my_value + # ANOTHER_ENV_VAR: another_value +py_modules: # (Optional) A list of local directories or remote URIs that will be added to the Python path. + - /home/ray/default/doggos + # - /path/to/my_module + # - s3://my_bucket/my_module + +# When empty, this uses the default Anyscale Cloud in your organization. +cloud: + +# The script to run in your job. You can also do "uv run main.py" if you have a +# pyproject.toml file in your working_dir. +entrypoint: python doggos/doggos/train.py # uv run doggos/doggos/train.py # remove the requirements and py_modules + +# If there is an error, do not retry. +max_retries: 0 \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile index 43b34335edda..4a370bacac53 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile @@ -1,6 +1,6 @@ # Start with an Anyscale base image. # Use the drop-down above to browse through all available images. -FROM anyscale/ray:2.47.0-slim-py312-cu128 +FROM anyscale/ray:2.48.0-slim-py312-cu128 # Add your pip dependencies here. Disable cache for a smaller image to optimize build and cluster startup time. # RUN pip install --no-cache-dir --upgrade @@ -13,5 +13,5 @@ FROM anyscale/ray:2.47.0-slim-py312-cu128 # Add other build commands here. # RUN echo "Testing Ray import..." && python -c "import ray" RUN python3 -m pip install --no-cache-dir \ - "matplotlib==3.10.0" "torch==2.7.0" "transformers==4.52.3" \ + "matplotlib==3.10.0" "torch==2.7.1" "transformers==4.52.3" \ "scikit-learn==1.6.0" "mlflow==2.19.0" "ipywidgets==8.1.3" diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/__init__.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/__init__.py similarity index 100% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/__init__.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/__init__.py diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/data.py similarity index 83% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/data.py index 81fd2cbe3b3a..fd672fccb9e8 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/data.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/data.py @@ -29,12 +29,15 @@ def transform(self, ds): ) ds = ds.map_batches( EmbedImages, - fn_constructor_kwargs={"model_id": "openai/clip-vit-base-patch32"}, - fn_kwargs={"device": "cuda"}, + fn_constructor_kwargs={ + "model_id": "openai/clip-vit-base-patch32", + "device": "cuda", + }, # class kwargs + fn_kwargs={}, concurrency=4, batch_size=64, num_gpus=1, - accelerator_type="L4", + accelerator_type="T4", ) ds = ds.drop_columns(["image"]) return ds diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/embed.py similarity index 94% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/embed.py index 6979139177c2..88a3680dbb4d 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/embed.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/embed.py @@ -99,12 +99,15 @@ def display_top_matches(url, matches): # Batch embedding generation embeddings_ds = ds.map_batches( EmbedImages, - fn_constructor_kwargs={"model_id": "openai/clip-vit-base-patch32"}, - fn_kwargs={"device": "cuda"}, + fn_constructor_kwargs={ + "model_id": "openai/clip-vit-base-patch32", + "device": "cuda", + }, # class kwargs + fn_kwargs={}, concurrency=4, batch_size=64, num_gpus=1, - accelerator_type="L4", + accelerator_type="T4", ) embeddings_ds = embeddings_ds.drop_columns(["image"]) # remove image column diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/infer.py similarity index 100% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/infer.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/infer.py diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/model.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/model.py similarity index 100% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/model.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/model.py diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py similarity index 83% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py index 52b85f02defe..350d2a0cc789 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/serve.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py @@ -13,20 +13,12 @@ from ray import serve -# Define app -api = FastAPI( - title="doggos", - description="classify your dog", - version="0.1", -) - @serve.deployment( num_replicas="1", ray_actor_options={ - "num_cpus": 4, "num_gpus": 1, - "accelerator_type": "L4", + "accelerator_type": "T4", }, ) class ClassPredictor: @@ -49,13 +41,21 @@ def get_probabilities(self, url): ) with torch.inference_mode(): embedding = self.model.get_image_features(**inputs).cpu().numpy() - probabilities = self.predictor.predict_probabilities( + outputs = self.predictor.predict_probabilities( collate_fn({"embedding": embedding}) ) - return probabilities + return {"probabilities": outputs["probabilities"][0]} -@serve.deployment(num_replicas="1", ray_actor_options={"num_cpus": 2}) +# Define app +api = FastAPI( + title="doggos", + description="classify your dog", + version="0.1", +) + + +@serve.deployment @serve.ingress(api) class Doggos: def __init__(self, classifier): @@ -65,27 +65,28 @@ def __init__(self, classifier): async def predict(self, request: Request): data = await request.json() probabilities = await self.classifier.get_probabilities.remote(url=data["url"]) - return { - "probabilities": probabilities, - } + return probabilities -# Model registry +# Model registry. model_registry = "/mnt/user_storage/mlflow/doggos" experiment_name = "doggos" mlflow.set_tracking_uri(f"file:{model_registry}") -# Best run +# Get best_run's artifact_dir. sorted_runs = mlflow.search_runs( - experiment_names=[experiment_name], - order_by=["metrics.val_loss ASC"], + experiment_names=[experiment_name], order_by=["metrics.val_loss ASC"] ) best_run = sorted_runs.iloc[0] artifacts_dir = urlparse(best_run.artifact_uri).path # Define app app = Doggos.bind( - classifier=ClassPredictor.bind(artifacts_dir=artifacts_dir), + classifier=ClassPredictor.bind( + model_id="openai/clip-vit-base-patch32", + artifacts_dir=artifacts_dir, + device="cuda", + ) ) if __name__ == "__main__": diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/train.py similarity index 99% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/train.py index 8d060d480c6f..328ce36c91cd 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/train.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/train.py @@ -148,7 +148,7 @@ def train_loop_per_worker(config): num_workers=num_workers, use_gpu=True, resources_per_worker={"CPU": 8, "GPU": 2}, - accelerator_type="L4", + accelerator_type="T4", ) # Datasets diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/utils.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/utils.py similarity index 100% rename from doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/utils.py rename to doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/utils.py diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/pyproject.toml b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/pyproject.toml new file mode 100644 index 000000000000..5ec5cff96a4b --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/pyproject.toml @@ -0,0 +1,13 @@ +[build-system] +requires = ["setuptools>=68", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "doggos" +version = "0.1.0" +requires-python = ">=3.12" +description = "doggos multimodal ai package" + +[tool.setuptools.packages.find] +where = ["."] +include = ["doggos*"] \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb index 858f43fa7b64..f50bf23508fd 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb @@ -30,14 +30,35 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[92mSuccessfully registered `matplotlib, torch` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_eys8cskj5aivghbf773dp2vmcd?workspace-tab=dependencies\u001b[0m\n" + "\u001b[92mSuccessfully registered `ipywidgets, matplotlib` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n", + "\u001b[92mSuccessfully registered `doggos` package to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n" ] } ], "source": [ "%%bash\n", - "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.1\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" + "pip install -q -r /home/ray/default/requirements.txt\n", + "pip install -q -e /home/ray/default/doggos\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note**: A kernel restart may be required for all dependencies to become available. \n", + "\n", + "If using **uv**, then:\n", + "1. Turn off the runtime dependencies (`Dependencies` tab up top > Toggle off `Pip packages`). And no need to run the `pip install` commands above.\n", + "2. Change the python kernel of this notebook to use the `venv` (Click on `base (Python x.yy.zz)` on top right cordern of notebook > `Select another Kernel` > `Python Environments...` > `Create Python Environment` > `Venv` > `Use Existing`) and done! Now all the notebook's cells will use the virtual env.\n", + "3. Change the py executable to use `uv run` instead of `python` by adding this line after importing ray.\n", + "```python\n", + "import os\n", + "os.environ.pop(\"RAY_RUNTIME_ENV_HOOK\", None)\n", + "import ray\n", + "ray.init(runtime_env={\"py_executable\": \"uv run\", \"working_dir\": \"/home/ray/default\"})\n", + "```" ] }, { @@ -47,7 +68,7 @@ "outputs": [], "source": [ "%load_ext autoreload\n", - "%autoreload all" + "%autoreload all\n" ] }, { @@ -59,7 +80,27 @@ "import os\n", "import ray\n", "import sys\n", - "sys.path.append(os.path.abspath(\"..\"))" + "sys.path.append(os.path.abspath(\"../doggos/\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# If using UV\n", + "# os.environ.pop(\"RAY_RUNTIME_ENV_HOOK\", None)\n", + "# ray.init(runtime_env={\"py_executable\": \"uv run\", \"working_dir\": \"/home/ray/default\"})\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from doggos import utils\n" ] }, { @@ -80,20 +121,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:04:39,249\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.52.172:6379...\n", - "2025-06-23 14:04:39,260\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-06-23 14:04:39,266\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_a644723e367c78760222a7f2fcce949b2fe72f7b.zip' (1.92MiB) to Ray cluster...\n", - "2025-06-23 14:04:39,275\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_a644723e367c78760222a7f2fcce949b2fe72f7b.zip'.\n", - "2025-06-23 14:04:39,581\tINFO dataset.py:3048 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-06-23 14:04:39,583\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_11_0\n", - "2025-06-23 14:04:39,594\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_11_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:04:39,595\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_11_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> LimitOperator[limit=1]\n" + "2025-08-22 00:14:08,238\tINFO worker.py:1747 -- Connecting to existing Ray cluster at address: 10.0.52.10:6379...\n", + "2025-08-22 00:14:08,250\tINFO worker.py:1918 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-08-22 00:14:08,255\tINFO packaging.py:588 -- Creating a file package for local module '/home/ray/default/doggos/doggos'.\n", + "2025-08-22 00:14:08,258\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_0193267f6c9951ce.zip' (0.02MiB) to Ray cluster...\n", + "2025-08-22 00:14:08,259\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_0193267f6c9951ce.zip'.\n", + "2025-08-22 00:14:08,262\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_6d26725922931a7a9e87fca928dfafe4f4e5e54b.zip' (1.18MiB) to Ray cluster...\n", + "2025-08-22 00:14:08,268\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_6d26725922931a7a9e87fca928dfafe4f4e5e54b.zip'.\n", + "2025-08-22 00:14:08,550\tINFO dataset.py:3057 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-08-22 00:14:08,552\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_59_0\n", + "2025-08-22 00:14:08,641\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_59_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:14:08,642\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_59_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9dbfa59a93134b189b928b743d442130", + "model_id": "b6862146286847ef9294638c1aa3d311", "version_major": 2, "version_minor": 0 }, @@ -107,7 +151,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d44b4fa98a6343d9a31b3dba01234981", + "model_id": "86a135d7d9cd45bc8ad9e5f0e5c477ad", "version_major": 2, "version_minor": 0 }, @@ -121,7 +165,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3c0885d0896e4fac8b5a9bcb0f3833f1", + "model_id": "4bfc88e39a7b450c945855a2d3f908e4", "version_major": 2, "version_minor": 0 }, @@ -135,7 +179,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a05586f2d15948bba416a1200dcd8fa6", + "model_id": "1071a49d524e424498985dc424a029a1", "version_major": 2, "version_minor": 0 }, @@ -150,62 +194,63 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:05:56,467\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_11_0 execution finished in 76.87 seconds\n" + "2025-08-22 00:14:08,686\tWARNING resource_manager.py:130 -- ⚠️ Ray's object store is configured to use only 28.2% of available memory (67.8GB out of 240.5GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", + "2025-08-22 00:15:25,802\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_59_0 execution finished in 77.16 seconds\n" ] }, { "data": { "text/plain": [ - "[{'image': array([[[ 32, 52, 77],\n", - " [ 27, 47, 72],\n", - " [ 28, 43, 72],\n", + "[{'image': array([[[123, 118, 78],\n", + " [125, 120, 80],\n", + " [128, 120, 83],\n", " ...,\n", - " [235, 235, 233],\n", - " [236, 236, 234],\n", - " [236, 236, 234]],\n", + " [162, 128, 83],\n", + " [162, 128, 83],\n", + " [161, 127, 82]],\n", " \n", - " [[ 34, 51, 77],\n", - " [ 30, 47, 73],\n", - " [ 30, 45, 74],\n", + " [[123, 118, 78],\n", + " [125, 120, 80],\n", + " [127, 119, 82],\n", " ...,\n", - " [233, 233, 231],\n", - " [233, 233, 231],\n", - " [233, 233, 231]],\n", + " [162, 128, 83],\n", + " [162, 128, 83],\n", + " [161, 127, 82]],\n", " \n", - " [[ 35, 50, 79],\n", - " [ 32, 47, 76],\n", - " [ 33, 48, 79],\n", + " [[123, 118, 78],\n", + " [125, 120, 80],\n", + " [127, 119, 82],\n", " ...,\n", - " [237, 237, 237],\n", - " [237, 237, 237],\n", - " [237, 237, 237]],\n", + " [161, 128, 83],\n", + " [161, 128, 83],\n", + " [160, 127, 82]],\n", " \n", " ...,\n", " \n", - " [[ 55, 80, 76],\n", - " [ 65, 90, 86],\n", - " [ 56, 78, 75],\n", + " [[235, 234, 239],\n", + " [233, 232, 237],\n", + " [221, 220, 225],\n", " ...,\n", - " [142, 168, 133],\n", - " [157, 184, 149],\n", - " [140, 170, 132]],\n", + " [158, 95, 54],\n", + " [150, 85, 53],\n", + " [151, 88, 57]],\n", " \n", - " [[ 52, 72, 70],\n", - " [ 77, 97, 95],\n", - " [ 78, 97, 95],\n", + " [[219, 220, 222],\n", + " [227, 228, 230],\n", + " [222, 223, 225],\n", " ...,\n", - " [125, 151, 112],\n", - " [141, 169, 128],\n", - " [180, 211, 167]],\n", + " [153, 91, 54],\n", + " [146, 83, 52],\n", + " [149, 88, 59]],\n", " \n", - " [[ 92, 108, 107],\n", - " [123, 139, 138],\n", - " [135, 149, 149],\n", + " [[213, 217, 216],\n", + " [217, 221, 220],\n", + " [213, 214, 216],\n", " ...,\n", - " [125, 152, 109],\n", - " [ 87, 116, 68],\n", - " [127, 159, 109]]], dtype=uint8),\n", - " 'path': 'doggos-dataset/train/saint_bernard/saint_bernard_7024.jpg'}]" + " [153, 91, 54],\n", + " [144, 83, 54],\n", + " [149, 88, 60]]], dtype=uint8),\n", + " 'path': 'doggos-dataset/train/border_collie/border_collie_1055.jpg'}]" ] }, "execution_count": null, @@ -220,7 +265,7 @@ " include_paths=True, \n", " shuffle=\"files\",\n", ")\n", - "ds.take(1)" + "ds.take(1)\n" ] }, { @@ -265,7 +310,7 @@ "source": [ "def add_class(row):\n", " row[\"class\"] = row[\"path\"].rsplit(\"/\", 3)[-2]\n", - " return row" + " return row\n" ] }, { @@ -278,7 +323,7 @@ "ds = ds.map(add_class,\n", " num_cpus=1,\n", " num_gpus=0,\n", - " concurrency=4)" + " concurrency=4)\n" ] }, { @@ -328,7 +373,7 @@ "import numpy as np\n", "from PIL import Image\n", "import torch\n", - "from transformers import CLIPModel, CLIPProcessor" + "from transformers import CLIPModel, CLIPProcessor\n" ] }, { @@ -354,7 +399,7 @@ " with torch.inference_mode():\n", " batch[\"embedding\"] = self.model.get_image_features(**inputs).cpu().numpy()\n", "\n", - " return batch" + " return batch\n" ] }, { @@ -393,9 +438,9 @@ " concurrency=4,\n", " batch_size=64,\n", " num_gpus=1,\n", - " accelerator_type=\"L4\",\n", + " accelerator_type=\"T4\",\n", ")\n", - "embeddings_ds = embeddings_ds.drop_columns([\"image\"]) # remove image column" + "embeddings_ds = embeddings_ds.drop_columns([\"image\"]) # remove image column\n" ] }, { @@ -441,7 +486,7 @@ "metadata": {}, "outputs": [], "source": [ - "import shutil" + "import shutil\n" ] }, { @@ -453,15 +498,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:06:01,973\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_16_0\n", - "2025-06-23 14:06:02,000\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_16_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:06:02,002\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_16_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-08-22 00:15:55,241\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_64_0\n", + "2025-08-22 00:15:55,265\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_64_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:15:55,267\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_64_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5933c94751554584b0efe1af1c11b265", + "model_id": "6d183707412548d5acd113c34ed06a4c", "version_major": 2, "version_minor": 0 }, @@ -472,17 +517,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:06:02,029\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "09923297706a4c6ca9bdc8c217fef9dd", + "model_id": "658e7e6b56fd4ddca63a85f903dc598c", "version_major": 2, "version_minor": 0 }, @@ -496,7 +534,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "61862104a5dd47b8be8364d4a9f91677", + "model_id": "ea845b3839f341fe96882d806ad16146", "version_major": 2, "version_minor": 0 }, @@ -510,7 +548,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2f089288b9214fde9a8c93dad13fc7ab", + "model_id": "83e3d887e66844b7a414f95163268c4f", "version_major": 2, "version_minor": 0 }, @@ -524,7 +562,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f22efa3031dd4b86903f20c17d00946f", + "model_id": "dca912f45aab4457b4188f74fb21ab63", "version_major": 2, "version_minor": 0 }, @@ -538,7 +576,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "915c9ece141c44519b93546cc8ab7724", + "model_id": "1b0ab6aaffeb45aea51b8a3c7b75540a", "version_major": 2, "version_minor": 0 }, @@ -549,25 +587,34 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +2m12s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", + "\u001b[36m(autoscaler +2m17s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +2m17s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +2m57s)\u001b[0m [autoscaler] Cluster upscaled to {104 CPU, 8 GPU}.\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=2910, ip=10.0.69.70)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "2025-06-23 14:06:22,379\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", - "2025-06-23 14:06:22,744\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_16_0 execution finished in 20.74 seconds\n", - "2025-06-23 14:06:22,842\tINFO dataset.py:4603 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" + "\u001b[36m(_MapWorker pid=3333, ip=10.0.27.32)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=116142)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\n", + "\u001b[36m(_MapWorker pid=3332, ip=10.0.27.32)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=34034, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 32x across cluster]\u001b[0m\n", + "2025-08-22 00:18:30,236\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_64_0 execution finished in 154.97 seconds\n", + "2025-08-22 00:18:30,323\tINFO dataset.py:4621 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(autoscaler +5m51s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", - "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-018706717a4455b75 (node IP: 10.0.65.200) due to node idle termination.\n", - "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-0e3238b7f703616e7 (node IP: 10.0.127.236) due to node idle termination.\n", - "\u001b[36m(autoscaler +5m51s)\u001b[0m [autoscaler] Downscaling node i-0fcefb76d19edf42b (node IP: 10.0.49.153) due to node idle termination.\n", - "\u001b[36m(autoscaler +5m56s)\u001b[0m [autoscaler] Cluster resized to {8 CPU, 2 GPU}.\n" + "\u001b[36m(autoscaler +6m52s)\u001b[0m [autoscaler] Downscaling node i-0b5c2c9a5a27cfba2 (node IP: 10.0.27.32) due to node idle termination.\n", + "\u001b[36m(autoscaler +6m52s)\u001b[0m [autoscaler] Cluster resized to {56 CPU, 4 GPU}.\n" ] } ], @@ -576,7 +623,7 @@ "embeddings_path = os.path.join(\"/mnt/cluster_storage\", \"doggos/embeddings\")\n", "if os.path.exists(embeddings_path): \n", " shutil.rmtree(embeddings_path) # clean up\n", - "embeddings_ds.write_parquet(embeddings_path)" + "embeddings_ds.write_parquet(embeddings_path)\n" ] }, { @@ -662,19 +709,28 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Output\n", + "(anyscale +0.9s) Submitting job with config JobConfig(name='image-batch-embeddings', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", + "(anyscale +3.0s) Uploading local dir '/home/ray/default' to cloud storage.\n", + "(anyscale +4.2s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", + "(anyscale +5.2s) Job 'image-batch-embeddings' submitted, ID: 'prodjob_cmhr6w7l9fb42be6xjsz1rnxsl'.\n", + "(anyscale +5.2s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_cmhr6w7l9fb42be6xjsz1rnxsl\n", + "(anyscale +5.2s) Use `--wait` to wait for the job to run and stream logs.\n" + ] + } + ], "source": [ - "```bash\n", - "# Production batch job.\n", - "anyscale job submit --name=generate-doggos-embeddings \\\n", - " --containerfile=\"/home/ray/default/containerfile\" \\\n", - " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", - " --working-dir=\"/home/ray/default\" \\\n", - " --exclude=\"\" \\\n", - " --max-retries=0 \\\n", - " -- python doggos/embed.py\n", - "```" + "%%bash\n", + "# Production batch embedding generation job\n", + "anyscale job submit -f /home/ray/default/configs/generate_embeddings.yaml\n" ] }, { @@ -708,7 +764,7 @@ "from PIL import Image\n", "import numpy as np\n", "import requests\n", - "from doggos.embed import get_top_matches, display_top_matches" + "from doggos.embed import get_top_matches, display_top_matches\n" ] }, { @@ -719,7 +775,7 @@ "source": [ "def url_to_array(url):\n", " return np.array(Image.open(\n", - " BytesIO(requests.get(url).content)).convert(\"RGB\"))" + " BytesIO(requests.get(url).content)).convert(\"RGB\"))\n" ] }, { @@ -727,6 +783,13 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + ] + }, { "data": { "text/plain": [ @@ -744,7 +807,7 @@ "image = url_to_array(url=url)\n", "embedding_generator = EmbedImages(model_id=\"openai/clip-vit-base-patch32\", device=\"cpu\")\n", "embedding = embedding_generator({\"image\": [image]})[\"embedding\"][0]\n", - "np.shape(embedding)" + "np.shape(embedding)\n" ] }, { @@ -756,15 +819,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:13:37,591\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_20_0\n", - "2025-06-23 14:13:37,597\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_20_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:13:37,598\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_20_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" + "2025-08-22 00:23:04,494\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_66_0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-08-22 00:23:04,500\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_66_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:23:04,501\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_66_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "95d21fb5261949a69e7b9b52e9c93605", + "model_id": "7b04bc8e4d444e82950af699e0891b1e", "version_major": 2, "version_minor": 0 }, @@ -778,7 +847,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ef0d324d477c42e587bbc19eed93697d", + "model_id": "5c7fffbb6cf44a29904a90f20015ab9b", "version_major": 2, "version_minor": 0 }, @@ -792,7 +861,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e896cad5fe264723a3cc3cd4f6a64ebf", + "model_id": "57a3c6fc76d448b49941e9459d88b051", "version_major": 2, "version_minor": 0 }, @@ -807,12 +876,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:13:38,825\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_20_0 execution finished in 1.23 seconds\n" + "2025-08-22 00:23:05,178\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_66_0 execution finished in 0.68 seconds\n" ] }, { "data": { - "image/png": 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", + "image/png": 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    " ] @@ -821,23 +890,115 @@ "output_type": "display_data" }, { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=3343, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + "\u001b[36m(autoscaler +12m47s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +12m52s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +13m37s)\u001b[0m [autoscaler] Cluster upscaled to {104 CPU, 8 GPU}.\n", + "\u001b[36m(autoscaler +15m32s)\u001b[0m [autoscaler] [8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +15m32s)\u001b[0m [autoscaler] [8CPU-32GB|m5.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +16m2s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", + "\u001b[36m(autoscaler +16m2s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +16m7s)\u001b[0m [autoscaler] Cluster upscaled to {112 CPU, 8 GPU}.\n", + "\u001b[36m(autoscaler +16m52s)\u001b[0m [autoscaler] Cluster upscaled to {160 CPU, 12 GPU}.\n", + "\u001b[36m(autoscaler +19m52s)\u001b[0m [autoscaler] Downscaling node i-0e941ed71ef3480ee (node IP: 10.0.34.27) due to node idle termination.\n", + "\u001b[36m(autoscaler +19m52s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 8 GPU}.\n", + "\u001b[36m(autoscaler +20m42s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +20m47s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB|g4dn.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +20m47s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", + "\u001b[36m(autoscaler +20m52s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +21m32s)\u001b[0m [autoscaler] Cluster upscaled to {120 CPU, 9 GPU}.\n", + "\u001b[36m(autoscaler +21m37s)\u001b[0m [autoscaler] Cluster upscaled to {168 CPU, 13 GPU}.\n", + "\u001b[36m(autoscaler +25m22s)\u001b[0m [autoscaler] Downscaling node i-0ffe5abae6e899f5a (node IP: 10.0.60.138) due to node idle termination.\n", + "\u001b[36m(autoscaler +25m27s)\u001b[0m [autoscaler] Cluster resized to {120 CPU, 9 GPU}.\n", + "\u001b[36m(autoscaler +28m22s)\u001b[0m [autoscaler] Downscaling node i-0aa72cef9b8921af5 (node IP: 10.0.31.199) due to node idle termination.\n", + "\u001b[36m(autoscaler +28m27s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 8 GPU}.\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(autoscaler +16m26s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Attempting to add 2 node(s) to the cluster (increasing from 1 to 3).\n", - "\u001b[36m(autoscaler +16m26s)\u001b[0m [autoscaler] [4xL4:48CPU-192GB] Launched 2 instances.\n", - "\u001b[36m(autoscaler +17m11s)\u001b[0m [autoscaler] Cluster upscaled to {152 CPU, 14 GPU}.\n", - "\u001b[33m(raylet)\u001b[0m WARNING: 4 PYTHON worker processes have been started on node: 97b39558bc8a3057162823cead1b8e035f1be130c49bb311e538ed2d with address: 10.0.52.172. This could be a result of using a large number of actors, or due to tasks blocked in ray.get() calls (see https://github.com/ray-project/ray/issues/3644 for some discussion of workarounds).\n", - "\u001b[36m(autoscaler +1h19m21s)\u001b[0m [autoscaler] Downscaling node i-03a133888407b8cf8 (node IP: 10.0.103.152) due to node idle termination.\n", - "\u001b[36m(autoscaler +1h19m21s)\u001b[0m [autoscaler] Downscaling node i-06023e83fb012b7ae (node IP: 10.0.90.122) due to node idle termination.\n", - "\u001b[36m(autoscaler +1h19m26s)\u001b[0m [autoscaler] Cluster resized to {56 CPU, 6 GPU}.\n" + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Using CPython 3.12.11 interpreter at: /home/ray/anaconda3/bin/python3.12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Creating virtual environment at: .venv\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Building doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow (6.3MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading grpcio (5.9MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sqlalchemy (3.2MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pydantic-core (1.9MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading jedi (1.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading virtualenv (5.7MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pandas (11.4MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading setuptools (1.1MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading uvloop (4.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-nvrtc-cu12 (22.6MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sympy (6.0MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading numpy (15.9MiB)\n", + "\u001b[33m(raylet, 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Downloading scikit-learn (12.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading hf-xet (3.0MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading matplotlib (8.2MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading torch (783.0MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading transformers (10.0MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy (33.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars (36.7MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow (26.1MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton (148.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Built doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading 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mlflow-skinny\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading aiohttp\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading networkx\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pygments\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading debugpy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading py-spy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading hf-xet\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading matplotlib\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading transformers\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scikit-learn\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading numpy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading botocore\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pandas\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-nvrtc-cu12\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pyarrow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-curand-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cusparselt-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cublas-cu12\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading torch\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If the cache and target directories are on different filesystems, hardlinking may not be supported.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cudnn-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Installed 172 packages in 1.96s\n" ] } ], @@ -845,7 +1006,7 @@ "# Top matches by embedding similarity.\n", "embeddings_ds = ray.data.read_parquet(embeddings_path)\n", "top_matches = get_top_matches(embedding, embeddings_ds, n=5)\n", - "display_top_matches(url, top_matches)" + "display_top_matches(url, top_matches)\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/02-Distributed-Training.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/02-Distributed-Training.ipynb index 59c16348c27a..26a8ca0766ed 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/02-Distributed-Training.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/02-Distributed-Training.ipynb @@ -32,14 +32,35 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[92mSuccessfully registered `matplotlib, torch` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_eys8cskj5aivghbf773dp2vmcd?workspace-tab=dependencies\u001b[0m\n" + "\u001b[92mSuccessfully registered `ipywidgets, matplotlib` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n", + "\u001b[92mSuccessfully registered `doggos` package to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n" ] } ], "source": [ "%%bash\n", - "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.0\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" + "pip install -q -r /home/ray/default/requirements.txt\n", + "pip install -q -e /home/ray/default/doggos\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note**: A kernel restart may be required for all dependencies to become available. \n", + "\n", + "If using **uv**, then:\n", + "1. Turn off the runtime dependencies (`Dependencies` tab up top > Toggle off `Pip packages`). And no need to run the `pip install` commands above.\n", + "2. Change the python kernel of this notebook to use the `venv` (Click on `base (Python x.yy.zz)` on top right cordern of notebook > `Select another Kernel` > `Python Environments...` > `Create Python Environment` > `Venv` > `Use Existing`) and done! Now all the notebook's cells will use the virtual env.\n", + "3. Change the py executable to use `uv run` instead of `python` by adding this line after importing ray.\n", + "```python\n", + "import os\n", + "os.environ.pop(\"RAY_RUNTIME_ENV_HOOK\", None)\n", + "import ray\n", + "ray.init(runtime_env={\"py_executable\": \"uv run\", \"working_dir\": \"/home/ray/default\"})\n", + "```" ] }, { @@ -49,7 +70,7 @@ "outputs": [], "source": [ "%load_ext autoreload\n", - "%autoreload all" + "%autoreload all\n" ] }, { @@ -61,7 +82,17 @@ "import os\n", "import ray\n", "import sys\n", - "sys.path.append(os.path.abspath(\"..\"))" + "sys.path.append(os.path.abspath(\"../doggos/\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# If using UV\n", + "# os.environ.pop(\"RAY_RUNTIME_ENV_HOOK\", None)\n" ] }, { @@ -73,17 +104,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:26:58,662\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.52.172:6379...\n", - "2025-06-23 14:26:58,674\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-06-23 14:26:58,721\tINFO packaging.py:588 -- Creating a file package for local module '../'.\n", - "2025-06-23 14:26:58,781\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_df54fa2aa282ae62.zip' (13.77MiB) to Ray cluster...\n", - "2025-06-23 14:26:58,845\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_df54fa2aa282ae62.zip'.\n" + "2025-08-22 00:26:10,081\tINFO worker.py:1747 -- Connecting to existing Ray cluster at address: 10.0.52.10:6379...\n", + "2025-08-22 00:26:10,093\tINFO worker.py:1918 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-08-22 00:26:10,108\tINFO packaging.py:588 -- Creating a file package for local module '/home/ray/default/doggos/doggos'.\n", + "2025-08-22 00:26:10,114\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_86fb5903fc73ddf5.zip' (0.03MiB) to Ray cluster...\n", + "2025-08-22 00:26:10,115\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_86fb5903fc73ddf5.zip'.\n", + "2025-08-22 00:26:10,118\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_e23a31aacd3983306ac777f59fba2eff0e5e9963.zip' (1.16MiB) to Ray cluster...\n", + "2025-08-22 00:26:10,124\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_e23a31aacd3983306ac777f59fba2eff0e5e9963.zip'.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0ee0ee1a3af84e0481f83f2e8802e581", + "model_id": "143376de26ec4095b9e1f3956e0a86f5", "version_major": 2, "version_minor": 0 }, @@ -111,11 +144,11 @@ " \n", " \n", " Ray version:\n", - " 2.47.1\n", + " 2.48.0\n", " \n", " \n", " Dashboard:\n", - " http://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com\n", + " http://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com\n", "\n", "\n", "\n", @@ -124,7 +157,7 @@ "
    \n" ], "text/plain": [ - "RayContext(dashboard_url='session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.47.1', ray_commit='e06f523c450fb1c99d8f347f8bfcc4085cc68b66')" + "RayContext(dashboard_url='session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.48.0', ray_commit='61d1966b0b02ce07f95d8f046ea7f6f92f7be190')" ] }, "execution_count": null, @@ -139,11 +172,11 @@ " # connect to existing ray runtime (from previous notebook if still running)\n", " address=os.environ.get(\"RAY_ADDRESS\", \"auto\"),\n", " runtime_env={\n", - " \"env_vars\": {\"RAY_TRAIN_V2_ENABLED\": \"1\"}, \n", - " # working_dir to import doggos (default working_dir=\".\")\n", - " \"working_dir\": \"../\",\n", + " \"env_vars\": {\"RAY_TRAIN_V2_ENABLED\": \"1\"},\n", + " # \"py_executable\": \"uv run\", # if using uv \n", + " # \"working_dir\": \"/home/ray/default\", # if using uv \n", " },\n", - ")" + ")\n" ] }, { @@ -154,7 +187,7 @@ "source": [ "%%bash\n", "# This will be removed once Ray Train v2 is enabled by default.\n", - "echo \"RAY_TRAIN_V2_ENABLED=1\" > /home/ray/default/.env" + "echo \"RAY_TRAIN_V2_ENABLED=1\" > /home/ray/default/.env\n" ] }, { @@ -176,7 +209,7 @@ "source": [ "# Load env vars in notebooks.\n", "from dotenv import load_dotenv\n", - "load_dotenv()" + "load_dotenv()\n" ] }, { @@ -201,7 +234,7 @@ "source": [ "def add_class(row):\n", " row[\"class\"] = row[\"path\"].rsplit(\"/\", 3)[-2]\n", - " return row" + " return row\n" ] }, { @@ -214,7 +247,7 @@ "train_ds = ray.data.read_images(\"s3://doggos-dataset/train\", include_paths=True, shuffle=\"files\")\n", "train_ds = train_ds.map(add_class)\n", "val_ds = ray.data.read_images(\"s3://doggos-dataset/val\", include_paths=True)\n", - "val_ds = val_ds.map(add_class)" + "val_ds = val_ds.map(add_class)\n" ] }, { @@ -237,7 +270,7 @@ "def convert_to_label(row, class_to_label):\n", " if \"class\" in row:\n", " row[\"label\"] = class_to_label[row[\"class\"]]\n", - " return row" + " return row\n" ] }, { @@ -250,7 +283,7 @@ "from PIL import Image\n", "import torch\n", "from transformers import CLIPModel, CLIPProcessor\n", - "from doggos.embed import EmbedImages" + "from doggos.embed import EmbedImages\n" ] }, { @@ -285,14 +318,14 @@ " concurrency=4,\n", " batch_size=64,\n", " num_gpus=1,\n", - " accelerator_type=\"L4\",\n", + " accelerator_type=\"T4\",\n", " )\n", " ds = ds.drop_columns([\"image\"])\n", " return ds\n", "\n", " def save(self, fp):\n", " with open(fp, \"w\") as f:\n", - " json.dump(self.class_to_label, f)" + " json.dump(self.class_to_label, f)\n" ] }, { @@ -304,16 +337,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:27:10,597\tINFO dataset.py:3048 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-06-23 14:27:10,599\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_65_0\n", - "2025-06-23 14:27:10,612\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_65_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:27:10,613\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_65_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-08-22 00:26:17,487\tINFO dataset.py:3057 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-08-22 00:26:17,490\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_72_0\n", + "2025-08-22 00:26:17,522\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_72_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:26:17,523\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_72_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6c2629752381401bb193d0d84fa68963", + "model_id": "aa17a81a379547a6b397907ffafec33b", "version_major": 2, "version_minor": 0 }, @@ -327,7 +360,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ffc73aed04544803a19756d5fc09c575", + "model_id": "08f021fb0f014335ab09e4baf362d6c3", "version_major": 2, "version_minor": 0 }, @@ -341,7 +374,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cb26d7641104cfdabb606292026da04", + "model_id": "bb9749220ab644db83ab9ac57348c6df", "version_major": 2, "version_minor": 0 }, @@ -355,7 +388,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cbd97058f69741b0a40e8bb312a88065", + "model_id": "7cd4f59d163149d8b1200348eaabebab", "version_major": 2, "version_minor": 0 }, @@ -369,7 +402,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "654ec007f7184ec0a9c2c487dd3df860", + "model_id": "9a7fe9e6350a4ce88f4c4a12c3e83fc1", "version_major": 2, "version_minor": 0 }, @@ -383,7 +416,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "58acb9149bf644be8386a8da980ea125", + "model_id": "38470d9ffbeb4f4ca11c2c7d4e70886b", "version_major": 2, "version_minor": 0 }, @@ -397,7 +430,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "19656545491b4ae4b239bb7773341210", + "model_id": "ea5ecfb1d6fb4eadb1d55130cdf0ec04", "version_major": 2, "version_minor": 0 }, @@ -411,7 +444,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "54a23a3f33054741981ad75230221b54", + "model_id": "e75cd967f3494a7cad6204c9f523ccad", "version_major": 2, "version_minor": 0 }, @@ -425,7 +458,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6ec35ea4ab2244748e2c6fc2d1b280d8", + "model_id": "37294f34620d4ed99e4c6db7f489e870", "version_major": 2, "version_minor": 0 }, @@ -440,7 +473,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:27:17,996\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_65_0 execution finished in 7.38 seconds\n" + "2025-08-22 00:26:17,662\tWARNING resource_manager.py:130 -- ⚠️ Ray's object store is configured to use only 28.2% of available memory (67.8GB out of 240.5GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", + "2025-08-22 00:26:29,748\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_72_0 execution finished in 12.22 seconds\n" ] } ], @@ -449,7 +483,7 @@ "preprocessor = Preprocessor()\n", "preprocessor = preprocessor.fit(train_ds, column=\"class\")\n", "train_ds = preprocessor.transform(ds=train_ds)\n", - "val_ds = preprocessor.transform(ds=val_ds)" + "val_ds = preprocessor.transform(ds=val_ds)\n" ] }, { @@ -467,7 +501,7 @@ "metadata": {}, "outputs": [], "source": [ - "import shutil" + "import shutil\n" ] }, { @@ -479,15 +513,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:19:45,048\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_40_0\n", - "2025-06-23 14:19:45,067\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_40_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:19:45,069\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_40_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-08-22 00:26:30,402\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_80_0\n", + "2025-08-22 00:26:30,433\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_80_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:26:30,435\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_80_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a676da85e459434b82d231b8cf23a213", + "model_id": "9a4fc2809c524fdea65f33187089279c", "version_major": 2, "version_minor": 0 }, @@ -498,17 +532,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:19:45,088\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f3e0d36a35444d60b6234498fa910777", + "model_id": "7ed00402d404430596be9d367c53de16", "version_major": 2, "version_minor": 0 }, @@ -522,7 +549,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "befd7f324d954c7f8ca324b50d807239", + "model_id": "cb833a76da3245a0bfcf5d7d7959e847", "version_major": 2, "version_minor": 0 }, @@ -536,7 +563,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "39a445c091c5457ea4bfb31a88b9215b", + "model_id": "c2223e2ee8e046079a76f8cdcef8abf5", "version_major": 2, "version_minor": 0 }, @@ -550,7 +577,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "dd118260e28a42e0a4325a8f5036bc85", + "model_id": "14d3a76ba8f84b3ba6729d43dcd221d8", "version_major": 2, "version_minor": 0 }, @@ -564,7 +591,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a49e0bbbbf0e424da8b3a514885c0148", + "model_id": "5b5ea2e535b04e95b3bb8739e478a678", "version_major": 2, "version_minor": 0 }, @@ -575,23 +602,35 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +25s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", + "\u001b[36m(autoscaler +25s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +30s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +1m15s)\u001b[0m [autoscaler] Cluster upscaled to {104 CPU, 8 GPU}.\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=18628, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "2025-06-23 14:19:57,926\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", - "2025-06-23 14:19:58,259\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_40_0 execution finished in 13.19 seconds\n", - "2025-06-23 14:19:58,573\tINFO dataset.py:4603 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", - "2025-06-23 14:19:58,584\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_43_0\n", - "2025-06-23 14:19:58,602\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_43_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:19:58,603\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_43_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "\u001b[36m(_MapWorker pid=3320, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=44781, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\n", + "\u001b[36m(_MapWorker pid=3323, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=44781, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 32x across cluster]\u001b[0m\n", + "2025-08-22 00:29:10,480\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_80_0 execution finished in 160.04 seconds\n", + "2025-08-22 00:29:10,570\tINFO dataset.py:4621 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", + "2025-08-22 00:29:10,582\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_83_0\n", + "2025-08-22 00:29:10,601\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_83_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:29:10,603\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_83_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8cac399a609346a89cab141cb4bd91af", + "model_id": "0abbbeeb2a35431a95d00c4c921ee61b", "version_major": 2, "version_minor": 0 }, @@ -602,17 +641,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:19:58,620\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "231149ef4ba34ab9bb7c0346956bfb21", + "model_id": "bf9288444a51499a8b1083a1b784b210", "version_major": 2, "version_minor": 0 }, @@ -626,7 +658,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "50bcce7953b944eca37c79f5c024c982", + "model_id": "8ec81536f155464c9a2ecf135cf83d80", "version_major": 2, "version_minor": 0 }, @@ -640,7 +672,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "82da80edde0546d5935e0426960a904a", + "model_id": "512fded93ca04523b3ed812aec1ada77", "version_major": 2, "version_minor": 0 }, @@ -654,7 +686,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1ca5f7798fd744e99513b5cdfbf144f4", + "model_id": "b3b9c393001d49f4b0535b625a132edb", "version_major": 2, "version_minor": 0 }, @@ -668,7 +700,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b1f7618f9e94098a64c33bf49f4d12c", + "model_id": "5f38287bfd4b4795a3839f44b0d2b1a8", "version_major": 2, "version_minor": 0 }, @@ -683,11 +715,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=33082, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 4x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", - "2025-06-23 14:20:07,331\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", - "2025-06-23 14:20:07,854\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=2, restarting=0, pending=0)\n", - "2025-06-23 14:20:08,323\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_43_0 execution finished in 9.72 seconds\n", - "2025-06-23 14:20:08,372\tINFO dataset.py:4603 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" + "2025-08-22 00:29:12,374\tWARNING streaming_executor_state.py:764 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", + "path: string, new schema: image: extension>\n", + "path: string. This may lead to unexpected behavior.\n", + "2025-08-22 00:29:13,110\tWARNING streaming_executor_state.py:764 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", + "path: string\n", + "class: string\n", + "label: int64, new schema: image: extension>\n", + "path: string\n", + "class: string\n", + "label: int64. This may lead to unexpected behavior.\n", + "\u001b[36m(_MapWorker pid=3910, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=121066)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 7x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +3m10s)\u001b[0m [autoscaler] [8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +3m10s)\u001b[0m [autoscaler] [8CPU-32GB|m5.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(_MapWorker pid=4731, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(drop_columns)->Write pid=45557, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 6x across cluster]\u001b[0m\n", + "2025-08-22 00:29:24,485\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_83_0 execution finished in 13.88 seconds\n", + "2025-08-22 00:29:24,531\tINFO dataset.py:4621 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" ] } ], @@ -699,7 +756,7 @@ "preprocessed_train_path = os.path.join(preprocessed_data_path, \"preprocessed_train\")\n", "preprocessed_val_path = os.path.join(preprocessed_data_path, \"preprocessed_val\")\n", "train_ds.write_parquet(preprocessed_train_path)\n", - "val_ds.write_parquet(preprocessed_val_path)" + "val_ds.write_parquet(preprocessed_val_path)\n" ] }, { @@ -738,7 +795,7 @@ "from pathlib import Path\n", "import torch\n", "import torch.nn as nn\n", - "import torch.nn.functional as F" + "import torch.nn.functional as F\n" ] }, { @@ -799,7 +856,7 @@ " with open(args_fp, \"r\") as fp:\n", " model = cls(**json.load(fp))\n", " model.load_state_dict(torch.load(state_dict_fp, map_location=device))\n", - " return model" + " return model\n" ] }, { @@ -830,7 +887,7 @@ " dropout_p=0.3, \n", " num_classes=num_classes,\n", ")\n", - "print (model)" + "print (model)\n" ] }, { @@ -853,7 +910,7 @@ "metadata": {}, "outputs": [], "source": [ - "from ray.train.torch import get_device" + "from ray.train.torch import get_device\n" ] }, { @@ -872,7 +929,7 @@ " dtype=dtypes[key],\n", " device=get_device(),\n", " )\n", - " return tensor_batch" + " return tensor_batch\n" ] }, { @@ -884,15 +941,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:27:26,458\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_72_0\n", - "2025-06-23 14:27:26,469\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_72_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:27:26,470\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_72_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" + "2025-08-22 00:29:25,511\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_85_0\n", + "2025-08-22 00:29:25,523\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_85_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-08-22 00:29:25,524\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_85_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f7d09fbef089477397fd9c9745974185", + "model_id": "c596b6e4878f41a9ac527bfb3925c95e", "version_major": 2, "version_minor": 0 }, @@ -903,17 +966,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:27:26,489\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ae6a71a193b94308be98fe3bb49e830e", + "model_id": "124f996b75cd452d89bb404100035d45", "version_major": 2, "version_minor": 0 }, @@ -927,7 +983,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "23fbb838b4f4413188a21f963216d9b3", + "model_id": "f76037bae4334040bf81176c7ddab96d", "version_major": 2, "version_minor": 0 }, @@ -941,7 +997,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "505daeea69ac49f3b0eb712b855f4dbd", + "model_id": "323cdef1b95f405da16d7478a2295072", "version_major": 2, "version_minor": 0 }, @@ -955,7 +1011,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9acc85ac1e8e44a3b672e6bd0bb38995", + "model_id": "2f9da19c9b7046b68d748780426d7886", "version_major": 2, "version_minor": 0 }, @@ -969,7 +1025,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "620184f23bf74c1c9af7475e1bd291e4", + "model_id": "3ff417b842ae472f8ef0e640443d3897", "version_major": 2, "version_minor": 0 }, @@ -983,7 +1039,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "939b699564104c0b8048c3fe78a235bc", + "model_id": "b3b34ef888164ae8a618828d9832fd8f", "version_major": 2, "version_minor": 0 }, @@ -998,37 +1054,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=18053, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "2025-06-23 14:27:33,774\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_72_0 execution finished in 7.30 seconds\n", - "/tmp/ipykernel_18629/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=4911, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-08-22 00:29:36,437\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_85_0 execution finished in 10.91 seconds\n", + "/tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", " tensor_batch[key] = torch.as_tensor(\n" ] }, { "data": { "text/plain": [ - "{'embedding': tensor([[-0.1921, 0.1182, -0.1963, ..., 0.7892, -0.2841, -0.0829],\n", - " [-0.0389, -0.1284, -0.5749, ..., 0.4360, 0.0745, -0.1555],\n", - " [-0.1139, 0.1539, -0.1519, ..., 0.8438, 0.3064, -0.1918]]),\n", - " 'label': tensor([22, 11, 33])}" + "{'embedding': tensor([[ 0.4219, 0.3688, -0.1833, ..., 0.6288, 0.2298, -0.3989],\n", + " [ 0.0385, 0.3297, 0.2076, ..., 0.3434, -0.5492, 0.0362],\n", + " [ 0.1881, 0.1737, -0.3069, ..., 0.3336, 0.1783, -0.0299]]),\n", + " 'label': tensor([11, 34, 7])}" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +35s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" - ] } ], "source": [ "# Sample batch\n", "sample_batch = train_ds.take_batch(batch_size=3)\n", - "collate_fn(batch=sample_batch)" + "collate_fn(batch=sample_batch)\n" ] }, { @@ -1049,19 +1098,9 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +57m1s)\u001b[0m [autoscaler] Downscaling node i-03a133888407b8cf8 (node IP: 10.0.103.152) due to node idle termination.\n", - "\u001b[36m(autoscaler +57m1s)\u001b[0m [autoscaler] Downscaling node i-06023e83fb012b7ae (node IP: 10.0.90.122) due to node idle termination.\n", - "\u001b[36m(autoscaler +57m6s)\u001b[0m [autoscaler] Cluster resized to {56 CPU, 6 GPU}.\n" - ] - } - ], + "outputs": [], "source": [ - "import shutil" + "import shutil\n" ] }, { @@ -1073,7 +1112,7 @@ "model_registry = \"/mnt/cluster_storage/mlflow/doggos\"\n", "if os.path.isdir(model_registry):\n", " shutil.rmtree(model_registry) # clean up\n", - "os.makedirs(model_registry, exist_ok=True)" + "os.makedirs(model_registry, exist_ok=True)\n" ] }, { @@ -1120,7 +1159,7 @@ " \"lr_patience\": 3,\n", " \"num_epochs\": 20,\n", " \"batch_size\": 256,\n", - "}" + "}\n" ] }, { @@ -1135,8 +1174,8 @@ " num_workers=num_workers,\n", " use_gpu=True,\n", " resources_per_worker={\"CPU\": 8, \"GPU\": 2},\n", - " accelerator_type=\"L4\",\n", - ")" + " accelerator_type=\"T4\",\n", + ")\n" ] }, { @@ -1148,7 +1187,7 @@ "import tempfile\n", "import mlflow\n", "import numpy as np\n", - "from ray.train.torch import TorchTrainer" + "from ray.train.torch import TorchTrainer\n" ] }, { @@ -1169,7 +1208,7 @@ " J.backward() # Backward pass.\n", " optimizer.step() # Update weights.\n", " loss += (J.detach().item() - loss) / (i + 1) # Cumulative loss\n", - " return loss" + " return loss\n" ] }, { @@ -1191,7 +1230,7 @@ " loss += (J - loss) / (i + 1)\n", " y_trues.extend(batch[\"label\"].cpu().numpy())\n", " y_preds.extend(torch.argmax(z, dim=1).cpu().numpy())\n", - " return loss, np.vstack(y_trues), np.vstack(y_preds)" + " return loss, np.vstack(y_trues), np.vstack(y_preds)\n" ] }, { @@ -1266,7 +1305,7 @@ "\n", " # End experiment tracking.\n", " if ray.train.get_context().get_world_rank() == 0:\n", - " mlflow.end_run()" + " mlflow.end_run()\n" ] }, { @@ -1286,7 +1325,7 @@ "source": [ "# Load preprocessed datasets.\n", "preprocessed_train_ds = ray.data.read_parquet(preprocessed_train_path)\n", - "preprocessed_val_ds = ray.data.read_parquet(preprocessed_val_path)" + "preprocessed_val_ds = ray.data.read_parquet(preprocessed_val_path)\n" ] }, { @@ -1303,70 +1342,7 @@ " train_loop_config=train_loop_config,\n", " scaling_config=scaling_config,\n", " datasets={\"train\": preprocessed_train_ds, \"val\": preprocessed_val_ds},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Train.\n", - "results = trainer.fit()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Ray Train" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- automatically handles **multi-node, multi-GPU** setup with no manual SSH setup or hostfile configs. \n", - "- define **per-worker fractional resource requirements**, for example, 2 CPUs and 0.5 GPU per worker.\n", - "- run on **heterogeneous machines** and scale flexibly, for example, CPU for preprocessing and GPU for training. \n", - "- built-in **fault tolerance** with retry of failed workers and continue from last checkpoint.\n", - "- supports Data Parallel, Model Parallel, Parameter Server, and even custom strategies.\n", - "- [Ray Compiled graphs](https://docs.ray.io/en/latest/ray-core/compiled-graph/ray-compiled-graph.html) allow you to even define different parallelism for jointly optimizing multiple models like Megatron, DeepSpeed, etc., or only allow for one global setting.\n", - "- You can also use Torch DDP, FSPD, DeepSpeed, etc., under the hood." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "🔥 [RayTurbo Train](https://docs.anyscale.com/rayturbo/rayturbo-train) offers even more improvement to the price-performance ratio, performance monitoring and more:\n", - "- **elastic training** to scale to a dynamic number of workers, continue training on fewer resources, even on spot instances.\n", - "- **purpose-built dashboard** designed to streamline the debugging of Ray Train workloads:\n", - " - Monitoring: View the status of training runs and train workers.\n", - " - Metrics: See insights on training throughput and training system operation time.\n", - " - Profiling: Investigate bottlenecks, hangs, or errors from individual training worker processes.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can view experiment metrics and model artifacts in the model registry. You're using OSS MLflow so you can run the server by pointing to the model registry location:\n", - "\n", - "```bash\n", - "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/cluster_storage/mlflow/doggos\n", - "```\n", - "\n", - "You can view the dashboard by going to the **Overview tab** > **Open Ports**. \n", - "\n", - "\n", - "\n", - "You also have the preceding Ray Dashboard and Train workload specific dashboards.\n", - "\n", - "\n" + ")\n" ] }, { @@ -1374,116 +1350,2556 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] INITIALIZING -> SCHEDULING.\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m Attempting to start training worker group of size 4 with the following resources: [{'CPU': 8, 'GPU': 2, 'accelerator_type:T4': 0.001}] * 4\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m Using blocking ray.get inside async actor. This blocks the event loop. Please use `await` on object ref with asyncio.gather if you want to yield execution to the event loop instead.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +3m40s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", + "\u001b[36m(autoscaler +3m40s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +3m45s)\u001b[0m [autoscaler] Cluster upscaled to {112 CPU, 8 GPU}.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(TrainController pid=125066)\u001b[0m Retrying the launch of the training worker group. The previous launch attempt encountered the following failure:\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m The worker group startup timed out after 30.0 seconds waiting for 4 workers. Potential causes include: (1) temporary insufficient cluster resources while waiting for autoscaling (ignore this warning in this case), (2) infeasible resource request where the provided `ScalingConfig` cannot be satisfied), and (3) transient network issues. Set the RAY_TRAIN_WORKER_GROUP_START_TIMEOUT_S environment variable to increase the timeout.\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] SCHEDULING -> RESCHEDULING.\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] RESCHEDULING -> SCHEDULING.\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m Attempting to start training worker group of size 4 with the following resources: [{'CPU': 8, 'GPU': 2, 'accelerator_type:T4': 0.001}] * 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +4m30s)\u001b[0m [autoscaler] Cluster upscaled to {160 CPU, 12 GPU}.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Setting up process group for: env:// [rank=0, world_size=4]\n", + "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m Moving model to device: cuda:0\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m Started training worker group of size 4: \n", + "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.34.27, pid=3319) world_rank=0, local_rank=0, node_rank=0\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.34.27, pid=3320) world_rank=1, local_rank=1, node_rank=0\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.4.102, pid=16056) world_rank=2, local_rank=0, node_rank=1\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.4.102, pid=16055) world_rank=3, local_rank=1, node_rank=1\n", + "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] SCHEDULING -> RUNNING.\n", + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m 2025/08/22 00:32:11 INFO mlflow.tracking.fluent: Experiment with name 'doggos' does not exist. Creating a new experiment.\n", + "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m Wrapping provided model in DistributedDataParallel.\n", + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py:445: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\n", + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m warnings.warn(\n" + ] + }, { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2f9b807b07e24754b872e832186a7ecc", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "run_id c65d5aba186c4ee58bf8188493cd047c\n", - "experiment_id 477478897635232497\n", - "status FINISHED\n", - "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/4774...\n", - "start_time 2025-06-23 14:23:03.775000+00:00\n", - "end_time 2025-06-23 14:23:21.440000+00:00\n", - "metrics.train_loss 0.388298\n", - "metrics.lr 0.001\n", - "metrics.val_loss 0.664968\n", - "params.batch_size 256\n", - "params.num_epochs 20\n", - "params.lr 0.001\n", - "params.hidden_dim 256\n", - "params.experiment_name doggos\n", - "params.dropout_p 0.3\n", - "params.embedding_dim 512\n", - "params.lr_patience 3\n", - "params.class_to_label {'doberman': 0, 'collie': 1, 'dingo': 2, 'pome...\n", - "params.lr_factor 0.8\n", - "params.model_registry /mnt/cluster_storage/mlflow/doggos\n", - "params.num_classes 36\n", - "tags.mlflow.source.name /home/ray/anaconda3/lib/python3.12/site-packag...\n", - "tags.mlflow.user ray\n", - "tags.mlflow.source.type LOCAL\n", - "tags.mlflow.runName abrasive-newt-588\n", - "Name: 0, dtype: object" + "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" ] }, - "execution_count": null, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Sorted runs\n", - "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", - "sorted_runs = mlflow.search_runs(\n", - " experiment_names=[experiment_name], \n", - " order_by=[\"metrics.val_loss ASC\"])\n", - "best_run = sorted_runs.iloc[0]\n", - "best_run" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Production Job" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can easily wrap the training workload as a production grade [Anyscale Job](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)).\n", - "\n", - "**Note**: \n", - "- This Job uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", - "- You can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", - "- When you don't specify compute while launching from a workspace, this configuration defaults to the compute configuration of the workspace." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```bash\n", - "# Production batch job.\n", - "anyscale job submit --name=train-doggos-model \\\n", - " --containerfile=\"/home/ray/default/containerfile\" \\\n", - " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", - " --working-dir=\"/home/ray/default\" \\\n", - " --exclude=\"\" \\\n", - " --max-retries=0 \\\n", - " -- python doggos/train.py\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Evaluation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This tutorial concludes by evaluating the trained model on the test dataset. Evaluation is essentially the same as the batch inference workload where you apply the model on batches of data and then calculate metrics using the predictions versus true labels. Ray Data is hyper optimized for throughput so preserving order isn't a priority. But for evaluation, this approach is crucial. Achieve this approach by preserving the entire row and adding the predicted label as another column to each row." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from urllib.parse import urlparse\n", - "from sklearn.metrics import multilabel_confusion_matrix" + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "477c2f56fd9e4c31974d33eec3c722a0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3b3d7e99c85a496ebad1cba791a6bcd1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2263907df3504600a2281cb5bb1feb81", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Registered dataset logger for dataset train_88_0\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Starting execution of Dataset train_88_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Execution plan of Dataset train_88_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> OutputSplitter[split(4, equal=True)]\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m ⚠️ Ray's object store is configured to use only 28.5% of available memory (195.9GB out of 687.2GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", + "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Moving model to device: cuda:0\n", + "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Wrapping provided model in DistributedDataParallel.\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m ✔️ Dataset train_88_0 execution finished in 2.84 seconds\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dbfdddd23f0a43658486e78ef5db13ec", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4a0cd95efca346bcbd9c962648fb8d18", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9d0c2a55758742729e3e4c41aff6daf7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fbab3701238a4fc3a295d6116e1908f4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8cca0efc0fdf42309956588e2ebad8d9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c4a5eedd70c540c68156ae60bd821773", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "692887626f444deaa309ee332a270796", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "364d9c81b14d44b18703999214217018", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=16055, ip=10.0.4.102)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py:445: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(RayTrainWorker pid=16055, ip=10.0.4.102)\u001b[0m warnings.warn(\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Registered dataset logger for dataset train_88_1\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Starting execution of Dataset train_88_1. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Execution plan of Dataset train_88_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> OutputSplitter[split(4, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=125822)\u001b[0m ⚠️ Ray's object store is configured to use only 28.5% of available memory (195.9GB out of 687.2GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c94637fd36f7408887c53978632c81d6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d9c770c92271481e824deabb97479d02", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e9394ea598c44b8eaed72c3a567e8f80", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "78f5d148c07843d6ba79aa4443fac4c2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f3c0cca34393418db7a85bf3b5da8de0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1cf9d449bed34bd58633604913c4b6da", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0f9207fa9fe74fb480d20ab6792412e8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d2d38403e0ea479c8745ba86e479e5b6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9245ec966b7142a39ccc3fb881ea1895", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "547f6b9e985a4fbf942e01dd9687245d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "03a5c5eeddbc4c0dbc4b2ae694a2cf23", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a12199d167f24ecab2b9dfe37adafee1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f4a3036c6d42495db3704671a5913e97", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(RayTrainWorker pid=3320, ip=10.0.34.27)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(SplitCoordinator pid=125822)\u001b[0m ✔️ Dataset val_89_2 execution finished in 0.14 seconds\u001b[32m [repeated 5x across cluster]\u001b[0m\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8daad09e465a4c95b282f6bff58488c4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1c61f75ca7ca467c8995ea64d5fbe622", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9686329d65264f15b583f6a26966ca46", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? 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row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "18414e84c96048a196a579fe5e5cdf79", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(SplitCoordinator pid=125822)\u001b[0m ✔️ Dataset val_89_18 execution finished in 0.12 seconds\u001b[32m [repeated 18x across cluster]\u001b[0m\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1e1a34e9e96c4109b1ff5b38e23eef3d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c377ec61738f42dfa1ee8638ce0fb4ed", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "086c0e1c3c8443659adcdb4d5ec55d85", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f7fe6c34adb44a4780cb4c7f320ab3f4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] RUNNING -> FINISHED.\n" + ] + } + ], + "source": [ + "# Train.\n", + "results = trainer.fit()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ray Train" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- automatically handles **multi-node, multi-GPU** setup with no manual SSH setup or hostfile configs. \n", + "- define **per-worker fractional resource requirements**, for example, 2 CPUs and 0.5 GPU per worker.\n", + "- run on **heterogeneous machines** and scale flexibly, for example, CPU for preprocessing and GPU for training. \n", + "- built-in **fault tolerance** with retry of failed workers and continue from last checkpoint.\n", + "- supports Data Parallel, Model Parallel, Parameter Server, and even custom strategies.\n", + "- [Ray Compiled graphs](https://docs.ray.io/en/latest/ray-core/compiled-graph/ray-compiled-graph.html) allow you to even define different parallelism for jointly optimizing multiple models like Megatron, DeepSpeed, etc., or only allow for one global setting.\n", + "- You can also use Torch DDP, FSPD, DeepSpeed, etc., under the hood." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "🔥 [RayTurbo Train](https://docs.anyscale.com/rayturbo/rayturbo-train) offers even more improvement to the price-performance ratio, performance monitoring and more:\n", + "- **elastic training** to scale to a dynamic number of workers, continue training on fewer resources, even on spot instances.\n", + "- **purpose-built dashboard** designed to streamline the debugging of Ray Train workloads:\n", + " - Monitoring: View the status of training runs and train workers.\n", + " - Metrics: See insights on training throughput and training system operation time.\n", + " - Profiling: Investigate bottlenecks, hangs, or errors from individual training worker processes.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can view experiment metrics and model artifacts in the model registry. You're using OSS MLflow so you can run the server by pointing to the model registry location:\n", + "\n", + "```bash\n", + "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/cluster_storage/mlflow/doggos\n", + "```\n", + "\n", + "You can view the dashboard by going to the **Overview tab** > **Open Ports**. \n", + "\n", + "\n", + "\n", + "You also have the preceding Ray Dashboard and Train workload specific dashboards.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "run_id fcb9ef8c96f844f08bcd0185601f3dbd\n", + "experiment_id 858816514880031760\n", + "status FINISHED\n", + "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/8588...\n", + "start_time 2025-08-22 00:32:11.522000+00:00\n", + "end_time 2025-08-22 00:32:32.895000+00:00\n", + "metrics.train_loss 0.35504\n", + "metrics.val_loss 0.593301\n", + "metrics.lr 0.001\n", + "params.lr_patience 3\n", + "params.dropout_p 0.3\n", + "params.num_epochs 20\n", + "params.lr 0.001\n", + "params.num_classes 36\n", + "params.hidden_dim 256\n", + "params.experiment_name doggos\n", + "params.batch_size 256\n", + "params.model_registry /mnt/cluster_storage/mlflow/doggos\n", + "params.class_to_label {'border_collie': 0, 'pomeranian': 1, 'basset'...\n", + "params.lr_factor 0.8\n", + "params.embedding_dim 512\n", + "tags.mlflow.user ray\n", + "tags.mlflow.source.type LOCAL\n", + "tags.mlflow.runName enthused-donkey-931\n", + "tags.mlflow.source.name /home/ray/anaconda3/lib/python3.12/site-packag...\n", + "Name: 0, dtype: object" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Sorted runs\n", + "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", + "sorted_runs = mlflow.search_runs(\n", + " experiment_names=[experiment_name], \n", + " order_by=[\"metrics.val_loss ASC\"])\n", + "best_run = sorted_runs.iloc[0]\n", + "best_run\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Production Job" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can easily wrap the training workload as a production grade [Anyscale Job](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)).\n", + "\n", + "**Note**: \n", + "- This Job uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", + "- You can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", + "- When you don't specify compute while launching from a workspace, this configuration defaults to the compute configuration of the workspace." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Output\n", + "(anyscale +0.9s) Submitting job with config JobConfig(name='train-image-model', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", + "(anyscale +2.8s) Uploading local dir '/home/ray/default' to cloud storage.\n", + "(anyscale +4.3s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", + "(anyscale +5.4s) Job 'train-image-model' submitted, ID: 'prodjob_ac1sxbql2i2vah66k2462bhxie'.\n", + "(anyscale +5.4s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_ac1sxbql2i2vah66k2462bhxie\n", + "(anyscale +5.4s) Use `--wait` to wait for the job to run and stream logs.\n" + ] + } + ], + "source": [ + "%%bash\n", + "# Production model training job\n", + "anyscale job submit -f /home/ray/default/configs/train_model.yaml\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This tutorial concludes by evaluating the trained model on the test dataset. Evaluation is essentially the same as the batch inference workload where you apply the model on batches of data and then calculate metrics using the predictions versus true labels. Ray Data is hyper optimized for throughput so preserving order isn't a priority. But for evaluation, this approach is crucial. Achieve this approach by preserving the entire row and adding the predicted label as another column to each row." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from urllib.parse import urlparse\n", + "from sklearn.metrics import multilabel_confusion_matrix\n" ] }, { @@ -1524,7 +3940,7 @@ " args_fp=os.path.join(artifacts_dir, \"args.json\"), \n", " state_dict_fp=os.path.join(artifacts_dir, \"model.pt\"),\n", " )\n", - " return cls(preprocessor=preprocessor, model=model)" + " return cls(preprocessor=preprocessor, model=model)\n" ] }, { @@ -1538,7 +3954,7 @@ "predictor = TorchPredictor.from_artifacts_dir(artifacts_dir=artifacts_dir)\n", "test_ds = ray.data.read_images(\"s3://doggos-dataset/test\", include_paths=True)\n", "test_ds = test_ds.map(add_class)\n", - "test_ds = predictor.preprocessor.transform(ds=test_ds)" + "test_ds = predictor.preprocessor.transform(ds=test_ds)\n" ] }, { @@ -1550,15 +3966,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:25:17,471\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_56_0\n", - "2025-06-23 14:25:17,483\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_56_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:25:17,484\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_56_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" + "2025-08-22 00:34:12,802\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_96_0\n", + "2025-08-22 00:34:12,814\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_96_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:34:12,815\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_96_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9b9a801dfa75419b9f307a00a3397677", + "model_id": "50d1c62a744146a398da57614e787e8c", "version_major": 2, "version_minor": 0 }, @@ -1569,17 +3985,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:25:17,504\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9354ed2fc7644cb7bacb97aa620d76fa", + "model_id": "b2d9b9453d0f40928a76a188f7a30eb4", "version_major": 2, "version_minor": 0 }, @@ -1593,7 +4002,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1980c5b233994a82b79c1b5853333de4", + "model_id": "85b1f60100d8451995792b7da3f8ac83", "version_major": 2, "version_minor": 0 }, @@ -1607,7 +4016,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a78cd2dd17df4f72b3aa28f40e36a04b", + "model_id": "d6f46bc81e674ba38e39f807dae62551", "version_major": 2, "version_minor": 0 }, @@ -1621,7 +4030,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9a240953f8a6401cb9e060439e3c7432", + "model_id": "9133c6ae847f4d52955482803d33c67f", "version_major": 2, "version_minor": 0 }, @@ -1635,7 +4044,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c1ead75a9a74448fb96776643b93b769", + "model_id": "9ecc392709b442f4b123fcad7fc7e60b", "version_major": 2, "version_minor": 0 }, @@ -1649,7 +4058,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "17d189a8c3534c7fbea57d6b4680337c", + "model_id": "5df8844d4afa424f8e750c4b362e3667", "version_major": 2, "version_minor": 0 }, @@ -1663,7 +4072,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "969c3c3cc23946238bae3b1682aa2ade", + "model_id": "d2838a72543d43f4a41520dc98f9dd57", "version_major": 2, "version_minor": 0 }, @@ -1678,148 +4087,164 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=41895, ip=10.0.102.235)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=7131, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=6304, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "2025-06-23 14:25:31,572\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_56_0 execution finished in 14.08 seconds\n" + "\u001b[36m(_MapWorker pid=18066, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +8m20s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +8m25s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB|g4dn.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", + "\u001b[36m(autoscaler +8m25s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", + "\u001b[36m(autoscaler +8m30s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(MapBatches(TorchPredictor) pid=19185, ip=10.0.4.102)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=18062, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "2025-08-22 00:34:50,050\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_96_0 execution finished in 37.23 seconds\n" ] }, { "data": { "text/plain": [ - "[{'path': 'doggos-dataset/test/basset/basset_10288.jpg',\n", + "[{'path': 'doggos-dataset/test/basset/basset_10005.jpg',\n", " 'class': 'basset',\n", - " 'label': 26,\n", - " 'embedding': array([-1.04914151e-01, -2.44789988e-01, -9.95982289e-02, 1.35369569e-01,\n", - " -5.52587211e-02, -5.80722839e-02, 1.91796571e-01, 1.56359702e-01,\n", - " -6.07913733e-01, 2.08769619e-01, -3.80898006e-02, -1.11314066e-01,\n", - " -1.96144834e-01, -6.14988208e-02, 5.18053114e-01, 2.08482340e-01,\n", - " 1.18680000e+00, 2.00228021e-01, -2.38505289e-01, 7.44116083e-02,\n", - " -1.17921010e-01, 1.65986642e-02, 4.06986564e-01, 1.73043087e-02,\n", - " -7.19358325e-02, -2.49894068e-01, 5.69958836e-02, -2.07780451e-02,\n", - " 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+ " -1.67415068e-01, 1.97720259e-01, 3.60535234e-01, -1.85247302e-01,\n", + " -2.80813038e-01, 3.32875013e-01, -3.98125350e-01, -3.53022516e-02,\n", + " 5.48863769e-01, -1.35882646e-01, 2.50048220e-01, -1.27448589e-01,\n", + " -3.03174406e-01, 3.85489166e-02, -7.27320850e-01, 5.22592783e-01,\n", + " -1.97360516e-01, -1.98229402e-01, -1.42074719e-01, 4.11824808e-02,\n", + " -2.92105675e-01, 2.07964912e-01, 4.97746691e-02, 1.48062438e-01,\n", + " -2.94304550e-01, 7.31720269e-01, 1.14105418e-02, 5.50758056e-02],\n", " dtype=float32),\n", - " 'prediction': 26}]" + " 'prediction': 8}]" ] }, "execution_count": null, @@ -1834,9 +4259,9 @@ " concurrency=4,\n", " batch_size=64,\n", " num_gpus=1,\n", - " accelerator_type=\"L4\",\n", + " accelerator_type=\"T4\",\n", ")\n", - "pred_ds.take(1)" + "pred_ds.take(1)\n" ] }, { @@ -1867,21 +4292,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:25:31,814\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_59_0\n" + "2025-08-22 00:34:50,290\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_99_0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2025-06-23 14:25:31,828\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_59_0. Full logs are in /tmp/ray/session_2025-06-23_13-49-50_102769_2149/logs/ray-data\n", - "2025-06-23 14:25:31,829\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_59_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-08-22 00:34:50,303\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_99_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", + "2025-08-22 00:34:50,304\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_99_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "419085884b1849758482929023d6eb50", + "model_id": "1bf87bfd70924161a7f4f956a92eb23f", "version_major": 2, "version_minor": 0 }, @@ -1892,17 +4317,10 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 14:25:31,856\tINFO actor_pool_map_operator.py:633 -- Scaling up actor pool by 4 (reason=scaling to min size, running=0, restarting=0, pending=0)\n" - ] - }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fbde64d675d4412597d9ace64aa3ac38", + "model_id": "2114df52a7ac4646aabfda7f7802a648", "version_major": 2, "version_minor": 0 }, @@ -1916,7 +4334,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8325afb46d644ecc9027b7f152341021", + "model_id": "d889fe01be0545939617a037455180df", "version_major": 2, "version_minor": 0 }, @@ -1930,7 +4348,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e6a774a2b1f84b4086e750dc8ac348ed", + "model_id": "e8b23a2321514f21a50825b660f670bf", "version_major": 2, "version_minor": 0 }, @@ -1944,7 +4362,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b4770e750930416cbe1629bbf698f4a2", + "model_id": "627c443e2450449c8683775fc89d7a8f", "version_major": 2, "version_minor": 0 }, @@ -1958,7 +4376,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "89ffb7899dcc47a3b36daa13da9cfe4d", + "model_id": "2d41291adfbf4c86817b203dc9e6f181", "version_major": 2, "version_minor": 0 }, @@ -1972,7 +4390,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "85af9e24a5fa41189b94044860db6ee7", + "model_id": "a2831719e1324270a3662420aff4c1e0", "version_major": 2, "version_minor": 0 }, @@ -1986,7 +4404,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5d9111eece5c4d9381953e84c53de7b0", + "model_id": "120a18eec3a64dfda631fa6dbff06232", "version_major": 2, "version_minor": 0 }, @@ -2000,7 +4418,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1242eb6344e2407b9c9ca909ffc59816", + "model_id": "18834b310df94e338ad7ad76aaf77ec5", "version_major": 2, "version_minor": 0 }, @@ -2014,7 +4432,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "02d595ac51494d12bb2428a788d73b7f", + "model_id": "898fc65b6d6e491f9bd6dd33572f0d6d", "version_major": 2, "version_minor": 0 }, @@ -2028,7 +4446,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2f749b365c194b4a8da80f1c7679a040", + "model_id": "7c7712b3872448c49f04dd6ed1af48f6", "version_major": 2, "version_minor": 0 }, @@ -2042,7 +4460,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cd5adf33abcd4a6f86a3411387dc62e6", + "model_id": "970b96aca5db4f1aab1e487105e61cae", "version_major": 2, "version_minor": 0 }, @@ -2056,7 +4474,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6efdb6f918a24510b0d69e060da5e2de", + "model_id": "aecfe233dbf249b7ab34fc9d26184bc5", "version_major": 2, "version_minor": 0 }, @@ -2071,23 +4489,35 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=7186, ip=10.0.90.122)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "2025-06-23 14:25:43,855\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=3, restarting=0, pending=0)\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=7259, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=14469, ip=10.0.103.152)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "2025-06-23 14:25:44,370\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=2, restarting=0, pending=0)\n", - "2025-06-23 14:25:44,899\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=1, restarting=0, pending=0)\n", - "2025-06-23 14:25:45,419\tINFO actor_pool_map_operator.py:661 -- Scaled down actor pool by 1 (reason=None; running=0, restarting=0, pending=0)\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=7393, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=46643, ip=10.0.102.235)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=15409, ip=10.0.69.70)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=16788, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=15462, ip=10.0.67.42)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=47017, ip=10.0.102.235)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=15584, ip=10.0.69.70)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=17097, ip=10.0.103.152)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=17183, ip=10.0.90.122)\u001b[0m /tmp/ipykernel_14938/3214280880.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "2025-06-23 14:26:35,251\tINFO streaming_executor.py:227 -- ✔️ Dataset dataset_59_0 execution finished in 63.42 seconds\n" + "\u001b[36m(_MapWorker pid=19193, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(_MapWorker pid=25926, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 2x across cluster]\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +9m10s)\u001b[0m [autoscaler] Cluster upscaled to {120 CPU, 9 GPU}.\n", + "\u001b[36m(autoscaler +9m15s)\u001b[0m [autoscaler] Cluster upscaled to {168 CPU, 13 GPU}.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(MapBatches(TorchPredictor) pid=2582, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(_MapWorker pid=27577, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=2578, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=2576, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=3977, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=4229, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=2579, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=2581, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=5094, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=5289, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=5548, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=5816, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "2025-08-22 00:38:03,968\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_99_0 execution finished in 193.66 seconds\n" ] } ], @@ -2106,7 +4536,7 @@ "precision = tp / (tp + fp) if (tp + fp) > 0 else 0\n", "recall = tp / (tp + fn) if (tp + fn) > 0 else 0\n", "f1 = 2 * precision * recall / (precision + recall) if (precision + recall) > 0 else 0\n", - "accuracy = (tp + tn) / (tp + tn + fp + fn)" + "accuracy = (tp + tn) / (tp + tn + fp + fn)\n" ] }, { @@ -2123,13 +4553,108 @@ "F1: 0.84\n", "Accuracy: 0.98\n" ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +13m0s)\u001b[0m [autoscaler] Downscaling node i-0ffe5abae6e899f5a (node IP: 10.0.60.138) due to node idle termination.\n", + "\u001b[36m(autoscaler +13m5s)\u001b[0m [autoscaler] Cluster resized to {120 CPU, 9 GPU}.\n", + "\u001b[36m(autoscaler +16m0s)\u001b[0m [autoscaler] Downscaling node i-0aa72cef9b8921af5 (node IP: 10.0.31.199) due to node idle termination.\n", + "\u001b[36m(autoscaler +16m5s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 8 GPU}.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Using CPython 3.12.11 interpreter at: /home/ray/anaconda3/bin/python3.12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Creating virtual environment at: .venv\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Building doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow (6.3MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading grpcio (5.9MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sqlalchemy (3.2MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pydantic-core 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ip=10.0.4.102)\u001b[0m Downloading transformers (10.0MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy (33.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars (36.7MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow (26.1MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton (148.5MiB)\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Built doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading grpcio\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sqlalchemy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pydantic-core\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading jedi\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading virtualenv\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading setuptools\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading uvloop\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-cupti-cu12\u001b[32m [repeated 13x across cluster]\u001b[0m\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sympy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading kiwisolver\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading tokenizers\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading fonttools\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading widgetsnbextension\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow-skinny\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading aiohttp\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading networkx\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pygments\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading debugpy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading py-spy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading hf-xet\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading matplotlib\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading transformers\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scikit-learn\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading numpy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading botocore\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pandas\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-nvrtc-cu12\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pyarrow\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-curand-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cusparselt-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cublas-cu12\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading torch\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If the cache and target directories are on different filesystems, hardlinking may not be supported.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cudnn-cu12\n", + "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Installed 172 packages in 1.96s\n" + ] } ], "source": [ "print(f\"Precision: {precision:.2f}\")\n", "print(f\"Recall: {recall:.2f}\")\n", "print(f\"F1: {f1:.2f}\")\n", - "print(f\"Accuracy: {accuracy:.2f}\")" + "print(f\"Accuracy: {accuracy:.2f}\")\n" ] }, { diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb index 587a257dd3a5..0dfd026ca0d8 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb @@ -24,14 +24,35 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[92mSuccessfully registered `matplotlib, torch` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_eys8cskj5aivghbf773dp2vmcd?workspace-tab=dependencies\u001b[0m\n" + "\u001b[92mSuccessfully registered `ipywidgets, matplotlib` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n", + "\u001b[92mSuccessfully registered `doggos` package to be installed on all cluster nodes.\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n" ] } ], "source": [ "%%bash\n", - "pip install -q \"matplotlib==3.10.0\" \"torch==2.7.0\" \"transformers==4.52.3\" \"scikit-learn==1.6.0\" \"mlflow==2.19.0\" \"ipywidgets==8.1.3\"" + "pip install -q -r /home/ray/default/requirements.txt\n", + "pip install -q -e /home/ray/default/doggos\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note**: A kernel restart may be required for all dependencies to become available. \n", + "\n", + "If using **uv**, then:\n", + "1. Turn off the runtime dependencies (`Dependencies` tab up top > Toggle off `Pip packages`). And no need to run the `pip install` commands above.\n", + "2. Change the python kernel of this notebook to use the `venv` (Click on `base (Python x.yy.zz)` on top right cordern of notebook > `Select another Kernel` > `Python Environments...` > `Create Python Environment` > `Venv` > `Use Existing`) and done! Now all the notebook's cells will use the virtual env.\n", + "3. Change the py executable to use `uv run` instead of `python` by adding this line after importing ray.\n", + "```python\n", + "import os\n", + "os.environ.pop(\"RAY_RUNTIME_ENV_HOOK\", None)\n", + "import ray\n", + "ray.init(runtime_env={\"py_executable\": \"uv run\", \"working_dir\": \"/home/ray/default\"})\n", + "```" ] }, { @@ -41,83 +62,30 @@ "outputs": [], "source": [ "%load_ext autoreload\n", - "%autoreload all" + "%autoreload all\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-06-23 20:03:54,080\tINFO worker.py:1723 -- Connecting to existing Ray cluster at address: 10.0.61.28:6379...\n", - "2025-06-23 20:03:54,091\tINFO worker.py:1908 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-06-23 20:03:54,133\tINFO packaging.py:588 -- Creating a file package for local module '../'.\n", - "2025-06-23 20:03:54,190\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_60b8ab9607f9a287.zip' (12.99MiB) to Ray cluster...\n", - "2025-06-23 20:03:54,250\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_60b8ab9607f9a287.zip'.\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "aa33be7c5f98450283f661adb61a3c6b", - "version_major": 2, - "version_minor": 0 - }, - "text/html": [ - "
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    Python version:3.12.11
    Ray version:2.47.1
    Dashboard:http://session-gcwehd9xxjzkv5lxv8lgcdgx2n.i.anyscaleuserdata.com
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This may be due to waiting for the cluster to auto-scale or for a runtime environment to be installed. Resources required for each replica: {\"CPU\": 1, \"GPU\": 1, \"accelerator_type:L4\": 0.001}, total resources available: {\"accelerator_type:L4\": 0.999, \"CPU\": 2.0}. Use `ray status` for more details.\n", - "\u001b[36m(ServeController pid=75629)\u001b[0m WARNING 2025-06-23 20:04:38,041 controller 75629 -- Deployment 'Doggos' in application 'default' has 1 replicas that have taken more than 30s to be scheduled. This may be due to waiting for the cluster to auto-scale or for a runtime environment to be installed. Resources required for each replica: {\"CPU\": 1}, total resources available: {\"CPU\": 2.0}. Use `ray status` for more details.\n", - "\u001b[36m(ServeReplica:default:Doggos pid=19668, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:03,231 default_Doggos 21c29nfb -- Direct ingress is disabled, skipping direct ingress server start\n", - "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,037 proxy 10.0.95.114 -- Proxy starting on node 760a1c063ba581ef6100d697d1e1d263b0b354b603658541229768ae (HTTP port: 8000).\n", - "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,092 proxy 10.0.95.114 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", - "\u001b[36m(ProxyActor pid=19768, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:05,105 proxy 10.0.95.114 -- Started .\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=19669, ip=10.0.95.114)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(ServeController pid=75629)\u001b[0m WARNING 2025-06-23 20:05:08,122 controller 75629 -- Deployment 'ClassPredictor' in application 'default' has 1 replicas that have taken more than 30s to initialize.\n", - "\u001b[36m(ServeController pid=75629)\u001b[0m This may be caused by a slow __init__ or reconfigure method.\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=19669, ip=10.0.95.114)\u001b[0m INFO 2025-06-23 20:05:09,415 default_ClassPredictor fyf5xp23 -- Direct ingress is disabled, skipping direct ingress server start\n", - "INFO 2025-06-23 20:05:10,065 serve 75456 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", - "INFO 2025-06-23 20:05:10,071 serve 75456 -- Started .\n" + "2025-08-22 00:51:12,070\tINFO worker.py:1747 -- Connecting to existing Ray cluster at address: 10.0.52.10:6379...\n", + "2025-08-22 00:51:12,082\tINFO worker.py:1918 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-08-22 00:51:12,091\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_bb1ea558d334a00804951688d29c76ff051341cc.zip' (1.11MiB) to Ray cluster...\n", + "2025-08-22 00:51:12,096\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_bb1ea558d334a00804951688d29c76ff051341cc.zip'.\n", + "INFO 2025-08-22 00:51:12,153 serve 133557 -- Connecting to existing Serve app in namespace \"serve\". New http options will not be applied.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,275 controller 61167 -- Deploying new version of Deployment(name='ClassPredictor', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,276 controller 61167 -- Deploying new version of Deployment(name='Doggos', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,400 controller 61167 -- Stopping 1 replicas of Deployment(name='ClassPredictor', app='default') with outdated versions.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,401 controller 61167 -- Adding 1 replica to Deployment(name='ClassPredictor', app='default').\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,403 controller 61167 -- Stopping 1 replicas of Deployment(name='Doggos', app='default') with outdated versions.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,404 controller 61167 -- Adding 1 replica to Deployment(name='Doggos', app='default').\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,489 controller 61167 -- Draining proxy on node '7cf4feced6fe6a3166528c758e7aea63f8414ff9b95e3f69304a0bbb'.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:14,489 controller 61167 -- Replica(id='m8hm2lqw', deployment='ClassPredictor', app='default') is stopped.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:14,491 controller 61167 -- Replica(id='r17z6dkp', deployment='Doggos', app='default') is stopped.\n", + "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:14,611 default_Doggos 0qpk1kw9 -- Direct ingress is disabled, skipping direct ingress server start\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:19,249 controller 61167 -- No longer draining proxy on node '7cf4feced6fe6a3166528c758e7aea63f8414ff9b95e3f69304a0bbb'.\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m INFO 2025-08-22 00:51:21,500 default_ClassPredictor qtsnu3yv -- Direct ingress is disabled, skipping direct ingress server start\n", + "INFO 2025-08-22 00:51:22,301 serve 133557 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", + "INFO 2025-08-22 00:51:22,313 serve 133557 -- Started .\n" ] }, { @@ -347,7 +313,7 @@ ], "source": [ "# Run service locally.\n", - "serve.run(app, route_prefix=\"/\")" + "serve.run(app, route_prefix=\"/\")\n" ] }, { @@ -355,23 +321,40 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/serve/_private/replica.py:1376: UserWarning: Calling sync method 'get_probabilities' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1.\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m warnings.warn(\n", + "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:22,490 default_Doggos 0qpk1kw9 daf11861-073e-4758-82b7-0b222066b668 -- Started .\n" + ] + }, { "data": { "text/plain": [ - "[('collie', 0.2568000853061676),\n", - " ('border_collie', 0.16908691823482513),\n", - " ('bernese_mountain_dog', 0.0767023041844368)]" + "[('collie', 0.2292557954788208),\n", + " ('border_collie', 0.1228194534778595),\n", + " ('german_shepherd', 0.07383470982313156)]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m INFO 2025-08-22 00:51:23,011 default_ClassPredictor qtsnu3yv daf11861-073e-4758-82b7-0b222066b668 -- CALL /predict/ OK 504.9ms\n", + "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:23,013 default_Doggos 0qpk1kw9 daf11861-073e-4758-82b7-0b222066b668 -- POST /predict/ 200 567.1ms\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(autoscaler +38m14s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" + "\u001b[36m(autoscaler +13m35s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" ] } ], @@ -382,7 +365,7 @@ "response = requests.post(\"http://127.0.0.1:8000/predict/\", json=data)\n", "probabilities = response.json()[\"probabilities\"]\n", "sorted_probabilities = sorted(probabilities.items(), key=lambda x: x[1], reverse=True)\n", - "sorted_probabilities[0:3]" + "sorted_probabilities[0:3]\n" ] }, { @@ -476,13 +459,8 @@ "source": [ "```bash\n", "# Production online service.\n", - "anyscale service deploy doggos.serve:app --name=doggos-app \\\n", - " --containerfile=\"/home/ray/default/containerfile\" \\\n", - " --compute-config=\"/home/ray/default/configs/aws.yaml\" \\\n", - " --working-dir=\"/home/ray/default\" \\\n", - " --exclude=\"\"\n", + "anyscale service deploy -f /home/ray/default/configs/service.yaml\n", "```\n", - "\n", "```\n", "(anyscale +1.9s) Restarting existing service 'doggos-app'.\n", "(anyscale +3.2s) Uploading local dir '/home/ray/default' to cloud storage.\n", diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/pyproject.toml b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/pyproject.toml new file mode 100644 index 000000000000..b63d44cd0ee8 --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/pyproject.toml @@ -0,0 +1,22 @@ +[project] +name = "default" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "boto3>=1.40.9", + "doggos", + "ipykernel>=6.30.1", + "ipywidgets==8.1.3", + "matplotlib==3.10.0", + "mlflow==2.19.0", + "ray[data,serve,train,tune]", + "scikit-learn==1.6.0", + "torch==2.7.1", + "transformers==4.52.3", +] + +[tool.uv.sources] +ray = { url = "http://localhost:9478/ray/ray-2.48.0-cp312-cp312-manylinux2014_x86_64.whl" } +doggos = { path = "doggos" } diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt index 42a1a0e489ce..603b6a10aafe 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt @@ -1,6 +1,6 @@ +ipywidgets==8.1.3 matplotlib==3.10.0 +mlflow==2.19.0 torch==2.7.1 transformers==4.52.3 -scikit-learn==1.6.0 -mlflow==2.19.0 -ipywidgets==8.1.3 +scikit-learn==1.6.0 \ No newline at end of file diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/uv.lock b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/uv.lock new file mode 100644 index 000000000000..bf67a0f858bc --- /dev/null +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/uv.lock @@ -0,0 +1,3506 @@ +version = 1 +revision = 2 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.13' and sys_platform != 'win32'", + "python_full_version < '3.13' and 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b/src/ray/core_worker/task_submission/normal_task_submitter.cc index ad7619849889..773852cd3837 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -169,7 +169,7 @@ void NormalTaskSubmitter::OnWorkerIdle( } else { auto client = core_worker_client_pool_->GetOrConnect(addr); - while (!current_queue.empty() && !lease_entry.is_busy) { + if (!current_queue.empty() && !lease_entry.is_busy) { auto task_spec = std::move(current_queue.front()); current_queue.pop_front(); diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 2e0ef7f13f64..4c61f4860c3d 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -245,10 +245,10 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { - return !IsDead() // Not dead - && !GetAssignedTaskId().IsNil() // No assigned task - && !IsBlocked() // Not blocked - && GetActorId().IsNil(); // No assigned actor + return !IsDead() // Not dead + && GetAssignedTaskId().IsNil() // No assigned task + && !IsBlocked() // Not blocked + && GetActorId().IsNil(); // No assigned actor } rpc::CoreWorkerClientInterface *rpc_client() { From 53ad812ff4a26f70e0b5542fc443d9a74f019b25 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Sat, 23 Aug 2025 02:39:05 +0530 Subject: [PATCH 0820/1566] [core] Remove `core_worker_lib` dependency from `shutdown_coordinator_test` (#55807) ## Why are these changes needed? Create and use a minimal `:shutdown_coordinator` target; point `shutdown_coordinator_test` to it directly. Pure build hygiene; no behavior changes. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 18 ++++++++++++++++-- src/ray/core_worker/shutdown_coordinator.cc | 13 ++++++------- src/ray/core_worker/shutdown_coordinator.h | 7 +++---- src/ray/core_worker/tests/BUILD.bazel | 2 +- .../tests/shutdown_coordinator_test.cc | 19 ++++++++++--------- 5 files changed, 36 insertions(+), 23 deletions(-) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 428ab30eace4..5b6ff9734078 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -6,14 +6,12 @@ ray_cc_library( "core_worker.cc", "core_worker_process.cc", "core_worker_shutdown_executor.cc", - "shutdown_coordinator.cc", ], hdrs = [ "core_worker.h", "core_worker_process.h", "core_worker_rpc_proxy.h", "core_worker_shutdown_executor.h", - "shutdown_coordinator.h", ], deps = [ ":actor_handle", @@ -30,6 +28,7 @@ ray_cc_library( ":plasma_store_provider", ":profile_event", ":reference_count", + ":shutdown_coordinator", ":task_event_buffer", "//src/ray/common/cgroup:cgroup_context", "//src/ray/common/cgroup:cgroup_manager", @@ -63,6 +62,21 @@ ray_cc_library( ], ) +ray_cc_library( + name = "shutdown_coordinator", + srcs = [ + "shutdown_coordinator.cc", + ], + hdrs = [ + "shutdown_coordinator.h", + ], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:buffer", + "//src/ray/protobuf:common_cc_proto", + ], +) + ray_cc_library( name = "core_worker_options", hdrs = ["core_worker_options.h"], diff --git a/src/ray/core_worker/shutdown_coordinator.cc b/src/ray/core_worker/shutdown_coordinator.cc index 75e13a2fbef9..93e5489b4144 100644 --- a/src/ray/core_worker/shutdown_coordinator.cc +++ b/src/ray/core_worker/shutdown_coordinator.cc @@ -22,14 +22,13 @@ #include #include -#include "ray/common/buffer.h" // LocalMemoryBuffer -#include "ray/core_worker/common.h" // for WorkerType alias +#include "ray/common/buffer.h" // LocalMemoryBuffer namespace ray { namespace core { ShutdownCoordinator::ShutdownCoordinator( - std::unique_ptr executor, WorkerType worker_type) + std::unique_ptr executor, rpc::WorkerType worker_type) : executor_(std::move(executor)), worker_type_(worker_type) { RAY_CHECK(executor_) << "ShutdownCoordinator requires a non-null ShutdownExecutorInterface. " @@ -156,12 +155,12 @@ void ShutdownCoordinator::ExecuteShutdownSequence( std::chrono::milliseconds timeout_ms, const std::shared_ptr &creation_task_exception_pb_bytes) { switch (worker_type_) { - case WorkerType::DRIVER: + case rpc::WorkerType::DRIVER: ExecuteDriverShutdown(force_shutdown, detail, timeout_ms); break; - case WorkerType::WORKER: - case WorkerType::SPILL_WORKER: - case WorkerType::RESTORE_WORKER: + case rpc::WorkerType::WORKER: + case rpc::WorkerType::SPILL_WORKER: + case rpc::WorkerType::RESTORE_WORKER: ExecuteWorkerShutdown( force_shutdown, detail, timeout_ms, creation_task_exception_pb_bytes); break; diff --git a/src/ray/core_worker/shutdown_coordinator.h b/src/ray/core_worker/shutdown_coordinator.h index b2a68ec4af39..f685261a5989 100644 --- a/src/ray/core_worker/shutdown_coordinator.h +++ b/src/ray/core_worker/shutdown_coordinator.h @@ -21,8 +21,7 @@ #include #include -// Bring in WorkerType alias and common types -#include "ray/core_worker/common.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { class LocalMemoryBuffer; @@ -137,7 +136,7 @@ class ShutdownCoordinator { /// \param executor Shutdown executor implementation /// \param worker_type Type of worker for shutdown behavior customization explicit ShutdownCoordinator(std::unique_ptr executor, - WorkerType worker_type = WorkerType::WORKER); + rpc::WorkerType worker_type = rpc::WorkerType::WORKER); ~ShutdownCoordinator() = default; @@ -278,7 +277,7 @@ class ShutdownCoordinator { // Executor and configuration std::unique_ptr executor_; - WorkerType worker_type_; + rpc::WorkerType worker_type_; // Mutex-guarded shutdown state mutable std::mutex mu_; diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 96b6769cc948..c36833757685 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -17,7 +17,7 @@ ray_cc_test( srcs = ["shutdown_coordinator_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/core_worker:core_worker_lib", + "//src/ray/core_worker:shutdown_coordinator", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index 6f0250ad3b8f..4079fbbe8020 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -25,6 +25,7 @@ #include #include "ray/common/buffer.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { namespace core { @@ -106,7 +107,7 @@ class ShutdownCoordinatorTest : public ::testing::Test { protected: // Helper to create coordinator with specific worker type std::unique_ptr CreateCoordinator( - WorkerType worker_type = WorkerType::WORKER) { + rpc::WorkerType worker_type = rpc::WorkerType::WORKER) { auto fake = std::make_unique(); return std::make_unique(std::move(fake), worker_type); } @@ -165,7 +166,7 @@ TEST_F(ShutdownCoordinatorTest, TEST_F(ShutdownCoordinatorTest, RequestShutdown_Graceful_SetsDisconnecting_ThenTryTransitionToShutdown_Succeeds) { auto coordinator = std::make_unique( - std::make_unique(), WorkerType::WORKER); + std::make_unique(), rpc::WorkerType::WORKER); // Running -> ShuttingDown -> Disconnecting EXPECT_TRUE( @@ -241,7 +242,7 @@ TEST_F(ShutdownCoordinatorTest, } TEST_F(ShutdownCoordinatorTest, Driver_GracefulReasonRecorded) { - auto coordinator = CreateCoordinator(WorkerType::DRIVER); + auto coordinator = CreateCoordinator(rpc::WorkerType::DRIVER); EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful ShutdownReason::kGracefulExit)); @@ -250,7 +251,7 @@ TEST_F(ShutdownCoordinatorTest, Driver_GracefulReasonRecorded) { } TEST_F(ShutdownCoordinatorTest, Driver_ForceReasonRecorded) { - auto coordinator = CreateCoordinator(WorkerType::DRIVER); + auto coordinator = CreateCoordinator(rpc::WorkerType::DRIVER); EXPECT_TRUE(coordinator->RequestShutdown(true, // force ShutdownReason::kForcedExit)); @@ -259,21 +260,21 @@ TEST_F(ShutdownCoordinatorTest, Driver_ForceReasonRecorded) { } TEST_F(ShutdownCoordinatorTest, Worker_GracefulInitiates) { - auto coordinator = CreateCoordinator(WorkerType::WORKER); + auto coordinator = CreateCoordinator(rpc::WorkerType::WORKER); EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful ShutdownReason::kGracefulExit)); } TEST_F(ShutdownCoordinatorTest, Worker_ExecuteWorkerExit_OnUserError) { - auto coordinator = CreateCoordinator(WorkerType::WORKER); + auto coordinator = CreateCoordinator(rpc::WorkerType::WORKER); EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful ShutdownReason::kUserError)); } TEST_F(ShutdownCoordinatorTest, Worker_HandleExit_OnIdleTimeout) { - auto coordinator = CreateCoordinator(WorkerType::WORKER); + auto coordinator = CreateCoordinator(rpc::WorkerType::WORKER); EXPECT_TRUE(coordinator->RequestShutdown(false, // graceful ShutdownReason::kIdleTimeout)); @@ -366,7 +367,7 @@ TEST_F(ShutdownCoordinatorTest, Concurrent_GracefulVsForce_ForceExecutesOnce) { auto fake = std::make_unique(); auto *fake_ptr = fake.get(); auto coordinator = - std::make_unique(std::move(fake), WorkerType::WORKER); + std::make_unique(std::move(fake), rpc::WorkerType::WORKER); std::thread t1([&] { coordinator->RequestShutdown(false, ShutdownReason::kGracefulExit, "graceful"); @@ -386,7 +387,7 @@ TEST_F(ShutdownCoordinatorTest, Concurrent_DoubleForce_ForceExecutesOnce) { auto fake = std::make_unique(); auto *fake_ptr = fake.get(); auto coordinator = - std::make_unique(std::move(fake), WorkerType::WORKER); + std::make_unique(std::move(fake), rpc::WorkerType::WORKER); std::thread t1( [&] { coordinator->RequestShutdown(true, ShutdownReason::kForcedExit, "force1"); }); From a43f77e0d3ab183c14406962b6a425de0ad746af Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Fri, 22 Aug 2025 14:43:44 -0700 Subject: [PATCH 0821/1566] [Data] Upgrade Polars to 1.32.3 (#55847) ## Why are these changes needed? Upgrading Polars to 1.32.3 ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index d08dc4ad4215..480b1eab6eb4 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -86,7 +86,7 @@ pytest-docker-tools==3.1.3 pytest-forked==1.4.0 # For dataset tests -polars>=1.30.0,<2.0.0 +polars>=1.32.3,<2.0.0 importlib-metadata==6.11.0 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index da646a8d36f4..27231510d8bc 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1485,7 +1485,7 @@ plotly==5.23.0 # via ax-platform pluggy==1.3.0 # via pytest -polars==1.30.0 +polars==1.32.3 # via -r python/requirements/test-requirements.txt portalocker==2.8.2 # via From 2f37239a0535eea89b41af51d7745274770b864e Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 22 Aug 2025 16:13:39 -0700 Subject: [PATCH 0822/1566] [Core] Use _Exit instead of std::quick_exit which may not exist on mac (#55840) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_shutdown_executor.cc | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/ray/core_worker/core_worker_shutdown_executor.cc b/src/ray/core_worker/core_worker_shutdown_executor.cc index 03cfc937d81a..f8680d709219 100644 --- a/src/ray/core_worker/core_worker_shutdown_executor.cc +++ b/src/ray/core_worker/core_worker_shutdown_executor.cc @@ -301,8 +301,7 @@ void CoreWorkerShutdownExecutor::DisconnectServices( void CoreWorkerShutdownExecutor::QuickExit() { RAY_LOG(WARNING) << "Quick exit - terminating process immediately"; - RAY_LOG(WARNING) << "Quick exit - calling std::quick_exit(1)"; - std::quick_exit(1); + ray::QuickExit(); RAY_LOG(WARNING) << "Quick exit - this line should never be reached"; } } // namespace core From dd8b6073db0d7459d3a3982af52f74d50d541b9a Mon Sep 17 00:00:00 2001 From: mcoder6425 Date: Sat, 23 Aug 2025 05:23:03 +0600 Subject: [PATCH 0823/1566] [Core] Add AMD-Instinct-MI50 support (#55365) Signed-off-by: mcoder6425 Signed-off-by: Douglas Strodtman --- python/ray/_private/accelerators/amd_gpu.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/_private/accelerators/amd_gpu.py b/python/ray/_private/accelerators/amd_gpu.py index 662e858c71b9..ec870193c8c6 100644 --- a/python/ray/_private/accelerators/amd_gpu.py +++ b/python/ray/_private/accelerators/amd_gpu.py @@ -11,6 +11,7 @@ NOSET_HIP_VISIBLE_DEVICES_ENV_VAR = "RAY_EXPERIMENTAL_NOSET_HIP_VISIBLE_DEVICES" amd_product_dict = { + "0x66a1": "AMD-Instinct-MI50", "0x738c": "AMD-Instinct-MI100", "0x7408": "AMD-Instinct-MI250X", "0x740c": "AMD-Instinct-MI250X-MI250", From 8034b3398345525b0d5a4b29f624546f0da66dfb Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 22 Aug 2025 19:12:38 -0700 Subject: [PATCH 0824/1566] [Core] Remove dead code (#55841) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 6 --- .../ray/dashboard/client/src/type/worker.d.ts | 1 - .../ray/dashboard/modules/node/datacenter.py | 4 -- python/ray/includes/libcoreworker.pxd | 1 - src/ray/core_worker/core_worker.cc | 6 --- src/ray/core_worker/core_worker.h | 5 -- src/ray/protobuf/common.proto | 47 +++++++++---------- 7 files changed, 22 insertions(+), 48 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 83798c1da252..282c39a466a5 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -1918,9 +1918,6 @@ cdef void execute_task( if (task_type == TASK_TYPE_ACTOR_CREATION_TASK): actor_id = core_worker.get_actor_id() actor = worker.actors[actor_id] - class_name = actor.__class__.__name__ - actor_title = f"{class_name}({args!r}, {kwargs!r})" - core_worker.set_actor_title(actor_title.encode("utf-8")) worker.record_task_log_start(task_id, attempt_number) @@ -3195,9 +3192,6 @@ cdef class CoreWorker: def set_webui_display(self, key, message): CCoreWorkerProcess.GetCoreWorker().SetWebuiDisplay(key, message) - def set_actor_title(self, title): - CCoreWorkerProcess.GetCoreWorker().SetActorTitle(title) - def set_actor_repr_name(self, repr_name): CCoreWorkerProcess.GetCoreWorker().SetActorReprName(repr_name) diff --git a/python/ray/dashboard/client/src/type/worker.d.ts b/python/ray/dashboard/client/src/type/worker.d.ts index 8f4d89e685e9..f8822f75b733 100644 --- a/python/ray/dashboard/client/src/type/worker.d.ts +++ b/python/ray/dashboard/client/src/type/worker.d.ts @@ -15,7 +15,6 @@ export type CoreWorkerStats = { numExecutedTasks: number; numPendingTasks: number; workerId: string; - actorTitle: string; jobId: string; numObjectRefsInScope: number; numInPlasma: number; diff --git a/python/ray/dashboard/modules/node/datacenter.py b/python/ray/dashboard/modules/node/datacenter.py index 6b32e4c545d5..941702822980 100644 --- a/python/ray/dashboard/modules/node/datacenter.py +++ b/python/ray/dashboard/modules/node/datacenter.py @@ -205,10 +205,6 @@ async def _get_actor_info(actor: Optional[dict]) -> Optional[dict]: actor = actor.copy() worker_id = actor["address"]["workerId"] core_worker_stats = DataSource.core_worker_stats.get(worker_id, {}) - actor_constructor = core_worker_stats.get( - "actorTitle", "Unknown actor constructor" - ) - actor["actorConstructor"] = actor_constructor actor.update(core_worker_stats) # TODO(fyrestone): remove this, give a link from actor diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 5402a7e2f48d..2b401369f777 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -212,7 +212,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: c_bool ShouldCaptureChildTasksInPlacementGroup() CActorID GetActorId() const const c_string GetActorName() - void SetActorTitle(const c_string &title) void SetActorReprName(const c_string &repr_name) void SetWebuiDisplay(const c_string &key, const c_string &message) const ResourceMappingType &GetResourceIDs() const diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 8efe6a7878bf..ae467adc6ca0 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -4054,7 +4054,6 @@ void CoreWorker::HandleGetCoreWorkerStats(rpc::GetCoreWorkerStatsRequest request } (*used_resources_map)[resource_name] = allocations; } - stats->set_actor_title(actor_title_); google::protobuf::Map webui_map(webui_display_.begin(), webui_display_.end()); (*stats->mutable_webui_display()) = webui_map; @@ -4388,11 +4387,6 @@ void CoreWorker::SetWebuiDisplay(const std::string &key, const std::string &mess webui_display_[key] = message; } -void CoreWorker::SetActorTitle(const std::string &title) { - absl::MutexLock lock(&mutex_); - actor_title_ = title; -} - void CoreWorker::SetActorReprName(const std::string &repr_name) { RAY_CHECK(task_receiver_ != nullptr); task_receiver_->SetActorReprName(repr_name); diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index cffda26e8c85..b44df2b5ee05 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -351,8 +351,6 @@ class CoreWorker { void SetWebuiDisplay(const std::string &key, const std::string &message); - void SetActorTitle(const std::string &title); - /// Sets the actor's repr name. /// /// This is set explicitly rather than included as part of actor creation task spec @@ -1849,9 +1847,6 @@ class CoreWorker { /// Key value pairs to be displayed on Web UI. std::unordered_map webui_display_ ABSL_GUARDED_BY(mutex_); - /// Actor title that consists of class name, args, kwargs for actor construction. - std::string actor_title_ ABSL_GUARDED_BY(mutex_); - /// Actor repr name if overrides by the user, empty string if not. std::string actor_repr_name_ ABSL_GUARDED_BY(mutex_); diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 0fb1ade03022..d1dae8dd7c68 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -933,53 +933,50 @@ message ResourceAllocations { // Debug info returned from the core worker. message CoreWorkerStats { - reserved 1; // Number of pending normal and actor tasks. - int32 num_pending_tasks = 2; + int32 num_pending_tasks = 1; // Number of object refs in local scope. - int32 num_object_refs_in_scope = 3; + int32 num_object_refs_in_scope = 2; // IP address of the core worker. - string ip_address = 7; + string ip_address = 3; // Port of the core worker. - int64 port = 8; + int64 port = 4; // Actor ID. - bytes actor_id = 9; + bytes actor_id = 5; // A map from the resource name (e.g. "CPU") to its allocation. - map used_resources = 10; + map used_resources = 6; // A string displayed on Dashboard. - map webui_display = 11; + map webui_display = 7; // Number of objects that are IN_PLASMA_ERROR in the local memory store. - int32 num_in_plasma = 12; + int32 num_in_plasma = 8; // Number of objects stored in local memory. - int32 num_local_objects = 13; + int32 num_local_objects = 9; // Used local object store memory. - int64 used_object_store_memory = 14; + int64 used_object_store_memory = 10; // Length of the task queue. - int32 task_queue_length = 15; + int32 task_queue_length = 11; // Number of executed tasks. - int32 num_executed_tasks = 16; - // Actor constructor. - string actor_title = 17; + int32 num_executed_tasks = 12; // Local reference table. - repeated ObjectRefInfo object_refs = 18; + repeated ObjectRefInfo object_refs = 13; // Job ID. - bytes job_id = 19; + bytes job_id = 14; // Worker id of core worker. - bytes worker_id = 20; + bytes worker_id = 15; // Language - Language language = 21; + Language language = 16; // PID of the worker process. - uint32 pid = 22; + uint32 pid = 17; // The worker type. - WorkerType worker_type = 23; + WorkerType worker_type = 18; // Length of the number of objects without truncation. - int64 objects_total = 24; + int64 objects_total = 19; // Number of objects owned by the worker. - int64 num_owned_objects = 25; + int64 num_owned_objects = 20; // Number of actors owned by the worker. - int64 num_owned_actors = 26; + int64 num_owned_actors = 21; // Number of running tasks - int64 num_running_tasks = 27; + int64 num_running_tasks = 22; } // Resource usage reported by the node reporter. From 21af13e3565649b4894fc5409d15ed640a271b84 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Sat, 23 Aug 2025 02:35:20 -0500 Subject: [PATCH 0825/1566] [core] Split `node_manager` target out from `gcs_server_lib` (#55814) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 29 +++++++++++++++++-- src/ray/gcs/gcs_server/gcs_node_manager.cc | 5 ++-- src/ray/gcs/gcs_server/gcs_node_manager.h | 17 ++++------- .../gcs/gcs_server/gcs_placement_group_mgr.h | 1 + src/ray/gcs/gcs_server/tests/BUILD.bazel | 13 +++++---- .../gcs_node_manager_export_event_test.cc | 17 +++++------ .../gcs_server/tests/gcs_node_manager_test.cc | 22 +++++++------- 7 files changed, 59 insertions(+), 45 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index f81fbdcb7479..74cdbd2067c7 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -63,6 +63,32 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_node_manager", + srcs = ["gcs_node_manager.cc"], + hdrs = ["gcs_node_manager.h"], + implementation_deps = [ + "//src/ray/gcs:gcs_pb_util", + "@com_google_absl//absl/container:flat_hash_set", + ], + deps = [ + ":gcs_init_data", + ":gcs_table_storage", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/protobuf:ray_syncer_cc_proto", + "//src/ray/rpc:gcs_server", + "//src/ray/rpc:node_manager_client", + "//src/ray/util:event", + "//src/ray/util:logging", + "//src/ray/util:time", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + ray_cc_library( name = "gcs_usage_stats_client", srcs = ["usage_stats_client.cc"], @@ -199,7 +225,6 @@ ray_cc_library( "gcs_actor_manager.cc", "gcs_actor_scheduler.cc", "gcs_autoscaler_state_manager.cc", - "gcs_node_manager.cc", "gcs_placement_group_mgr.cc", "gcs_placement_group_scheduler.cc", "gcs_resource_manager.cc", @@ -209,7 +234,6 @@ ray_cc_library( "gcs_actor_manager.h", "gcs_actor_scheduler.h", "gcs_autoscaler_state_manager.h", - "gcs_node_manager.h", "gcs_placement_group_mgr.h", "gcs_placement_group_scheduler.h", "gcs_resource_manager.h", @@ -221,6 +245,7 @@ ray_cc_library( ":gcs_init_data", ":gcs_job_manager", ":gcs_kv_manager", + ":gcs_node_manager", ":gcs_pubsub_handler", ":gcs_runtime_env_handler", ":gcs_server_io_context_policy", diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index bd14e119811a..8a6f6ffbb00c 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -21,9 +21,8 @@ #include #include -#include "ray/common/ray_config.h" +#include "absl/container/flat_hash_set.h" #include "ray/gcs/pb_util.h" -#include "ray/util/event.h" #include "ray/util/logging.h" #include "ray/util/time.h" #include "src/ray/protobuf/gcs.pb.h" @@ -530,7 +529,7 @@ std::string GcsNodeManager::DebugString() const { void GcsNodeManager::UpdateAliveNode( const NodeID &node_id, - const syncer::ResourceViewSyncMessage &resource_view_sync_message) { + const rpc::syncer::ResourceViewSyncMessage &resource_view_sync_message) { auto maybe_node_info = GetAliveNode(node_id); if (maybe_node_info == absl::nullopt) { return; diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index ff196f60b263..02c3b6723d55 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -14,11 +14,6 @@ #pragma once -#include - -#include -#include -#include #include #include #include @@ -26,24 +21,21 @@ #include #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" #include "ray/common/id.h" -#include "ray/common/ray_syncer/ray_syncer.h" #include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/client_call.h" #include "ray/rpc/gcs/gcs_rpc_server.h" -#include "ray/rpc/node_manager/node_manager_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/event.h" #include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/ray_syncer.pb.h" namespace ray::gcs { class GcsAutoscalerStateManagerTest; class GcsStateTest; + /// GcsNodeManager is responsible for managing and monitoring nodes as well as handing /// node and resource related rpc requests. /// This class is not thread-safe. @@ -176,8 +168,9 @@ class GcsNodeManager : public rpc::NodeInfoHandler { /// /// \param node_id The ID of the node to update. /// \param resource_view_sync_message The sync message containing the new state. - void UpdateAliveNode(const NodeID &node_id, - const syncer::ResourceViewSyncMessage &resource_view_sync_message); + void UpdateAliveNode( + const NodeID &node_id, + const rpc::syncer::ResourceViewSyncMessage &resource_view_sync_message); private: /// Add the dead node to the cache. If the cache is full, the earliest dead node is diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index d5956a93609a..00dc3b0baeac 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -30,6 +30,7 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 60b092b2778a..e4db2be85604 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -112,9 +112,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", + "//:ray_fakes", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -396,7 +396,7 @@ ray_cc_test( ) ray_cc_test( - name = "gcs_node_manager_export_event_test", + name = "node_manager_export_event_test", size = "small", srcs = ["export_api/gcs_node_manager_export_event_test.cc"], tags = [ @@ -404,11 +404,12 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", + "//:ray_fakes", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", - "@com_google_googletest//:gtest_main", + "//src/ray/util:string_utils", + "@com_google_googletest//:gtest", ], ) diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc index a310f656b7af..03237fe82167 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc @@ -20,18 +20,14 @@ #include #include -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "mock/ray/pubsub/publisher.h" +#include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" -// clang-format off -#include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" -#include "mock/ray/pubsub/publisher.h" -// clang-format on - using json = nlohmann::json; namespace ray { @@ -46,9 +42,11 @@ std::string GenerateLogDir() { class GcsNodeManagerExportAPITest : public ::testing::Test { public: GcsNodeManagerExportAPITest() { - raylet_client_ = std::make_shared(); + auto raylet_client = std::make_shared(); client_pool_ = std::make_unique( - [this](const rpc::Address &) { return raylet_client_; }); + [raylet_client = std::move(raylet_client)](const rpc::Address &) { + return raylet_client; + }); gcs_publisher_ = std::make_unique( std::make_unique()); gcs_table_storage_ = std::make_unique( @@ -78,7 +76,6 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; - std::shared_ptr raylet_client_; std::unique_ptr client_pool_; std::shared_ptr gcs_publisher_; instrumented_io_context io_service_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc index ced40b4863e1..7b8472a385bf 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc @@ -12,28 +12,27 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/gcs/gcs_server/gcs_node_manager.h" + +#include + #include #include #include -// clang-format off -#include "gtest/gtest.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" -#include "ray/gcs/tests/gcs_test_util.h" -#include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" -#include "ray/common/asio/asio_util.h" -#include "ray/common/ray_syncer/ray_syncer.h" -// clang-format on +#include "ray/gcs/tests/gcs_test_util.h" namespace ray { class GcsNodeManagerTest : public ::testing::Test { public: GcsNodeManagerTest() { - raylet_client_ = std::make_shared(); + auto raylet_client = std::make_shared(); client_pool_ = std::make_unique( - [this](const rpc::Address &) { return raylet_client_; }); + [raylet_client = std::move(raylet_client)](const rpc::Address &) { + return raylet_client; + }); gcs_publisher_ = std::make_unique( std::make_unique()); io_context_ = std::make_unique("GcsNodeManagerTest"); @@ -41,7 +40,6 @@ class GcsNodeManagerTest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; - std::shared_ptr raylet_client_; std::unique_ptr client_pool_; std::unique_ptr gcs_publisher_; std::unique_ptr io_context_; From ec1fcf5a90f145cf60df6cfa33f979ce8e15af38 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Sat, 23 Aug 2025 13:01:02 -0700 Subject: [PATCH 0826/1566] [core][chore] Avoid unnecessary deserialization (#55866) Signed-off-by: kaihsun Signed-off-by: Douglas Strodtman --- .../core_worker/task_submission/dependency_resolver.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ray/core_worker/task_submission/dependency_resolver.cc b/src/ray/core_worker/task_submission/dependency_resolver.cc index e11b0c95645e..be99c9ddacb7 100644 --- a/src/ray/core_worker/task_submission/dependency_resolver.cc +++ b/src/ray/core_worker/task_submission/dependency_resolver.cc @@ -101,12 +101,12 @@ void LocalDependencyResolver::ResolveDependencies( if (task.ArgByRef(i)) { local_dependency_ids.insert(task.ArgObjectId(i)); } - for (const auto &in : task.ArgInlinedRefs(i)) { - auto object_id = ObjectID::FromBinary(in.object_id()); + for (const auto &inlined_ref : task.ArgInlinedRefs(i)) { + const auto object_id = ObjectID::FromBinary(inlined_ref.object_id()); if (ObjectID::IsActorID(object_id)) { - auto actor_id = ObjectID::ToActorID(object_id); + const auto actor_id = ObjectID::ToActorID(object_id); if (actor_creator_.IsActorInRegistering(actor_id)) { - actor_dependency_ids.insert(ObjectID::ToActorID(object_id)); + actor_dependency_ids.insert(actor_id); } } } From b52a13912c0fc8bb83896957de5d091b0795bb7d Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Sat, 23 Aug 2025 14:41:08 -0700 Subject: [PATCH 0827/1566] [data][train] Minor rework of `get_dataset_shard` (#55825) Adds a slim wrapper around dataset shard iterators passed to each worker. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../train/v2/_internal/callbacks/datasets.py | 59 ++++++++++++++----- .../v2/_internal/data_integration/__init__.py | 0 .../_internal/data_integration/interfaces.py | 29 +++++++++ .../train/v2/_internal/execution/context.py | 18 +++--- .../v2/_internal/execution/train_fn_utils.py | 8 ++- .../execution/worker_group/worker.py | 10 ++-- .../train/v2/tests/test_data_integration.py | 22 ++++--- 7 files changed, 108 insertions(+), 38 deletions(-) create mode 100644 python/ray/train/v2/_internal/data_integration/__init__.py create mode 100644 python/ray/train/v2/_internal/data_integration/interfaces.py diff --git a/python/ray/train/v2/_internal/callbacks/datasets.py b/python/ray/train/v2/_internal/callbacks/datasets.py index a51b633d457a..9a6ce9d76cab 100644 --- a/python/ray/train/v2/_internal/callbacks/datasets.py +++ b/python/ray/train/v2/_internal/callbacks/datasets.py @@ -1,18 +1,37 @@ import copy -from typing import Any, Callable, Dict, List, Union +from typing import Dict, List import ray.train -from ray.data import Dataset +from ray.data import DataIterator from ray.data.context import DataContext +from ray.train.v2._internal.data_integration.interfaces import ( + DatasetShardMetadata, + DatasetShardProvider, + GenDataset, +) from ray.train.v2._internal.execution.callback import WorkerGroupCallback from ray.train.v2._internal.execution.worker_group.worker_group import ( Worker, WorkerGroup, ) -# A type representing either a ray.data.Dataset or a function that returns a -# ray.data.Dataset and accepts no arguments. -GenDataset = Union[Dataset, Callable[[], Dataset]] + +class RayDatasetShardProvider: + """A shard provider that Train workers use to access a DataIterator for a dataset.""" + + def __init__(self, ds_iterators: Dict[str, DataIterator]): + # Maps dataset_name to a DataIterator. + self._dataset_iterators = ds_iterators + + def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: + if dataset_info.dataset_name not in self._dataset_iterators: + raise KeyError( + f"Dataset shard for '{dataset_info.dataset_name}' not found. " + "Please ensure that the dataset is passed through the Trainer `datasets` " + "argument." + ) + + return self._dataset_iterators[dataset_info.dataset_name] class DatasetsSetupCallback(WorkerGroupCallback): @@ -45,10 +64,15 @@ def get_train_total_resources( these resources logically from its available pool.""" return scaling_config.total_resources - def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: - # Configure dataset shards - datasets = {k: v() if callable(v) else v for k, v in self._datasets.items()} - node_ids = [worker.metadata.node_id for worker in workers] + # -------------------------- + # WorkerGroupCallback + # -------------------------- + + def before_init_train_context( + self, workers: List[Worker] + ) -> Dict[str, List[DatasetShardProvider]]: + world_size = len(workers) + worker_node_ids = [worker.metadata.node_id for worker in workers] # Notify the DataConfig about the total resources reserved for training. total_train_resources = self.get_train_total_resources(self._scaling_config) @@ -56,15 +80,20 @@ def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any total_train_resources.get("CPU", 0), total_train_resources.get("GPU", 0) ) - dataset_shards = self._data_config.configure( - datasets, - world_size=len(workers), + datasets = {k: v() if callable(v) else v for k, v in self._datasets.items()} + ds_iterators_per_rank = self._data_config.configure( + datasets=datasets, + world_size=world_size, worker_handles=None, - worker_node_ids=node_ids, + worker_node_ids=worker_node_ids, ) - assert len(dataset_shards) == len(workers) + assert len(ds_iterators_per_rank) == world_size - return {"dataset_shards": dataset_shards} + shard_providers_per_rank = [ + RayDatasetShardProvider(ds_iterators=ds_iterators_per_rank[rank]) + for rank in range(world_size) + ] + return {"dataset_shard_provider": shard_providers_per_rank} def after_worker_group_start(self, worker_group: WorkerGroup): # Propagate DataContext diff --git a/python/ray/train/v2/_internal/data_integration/__init__.py b/python/ray/train/v2/_internal/data_integration/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/python/ray/train/v2/_internal/data_integration/interfaces.py b/python/ray/train/v2/_internal/data_integration/interfaces.py new file mode 100644 index 000000000000..73b37854fee6 --- /dev/null +++ b/python/ray/train/v2/_internal/data_integration/interfaces.py @@ -0,0 +1,29 @@ +from dataclasses import dataclass +from typing import Callable, Protocol, Union + +from ray.data import DataIterator, Dataset + +# A type representing either a ray.data.Dataset or a function that returns a +# ray.data.Dataset and accepts no arguments. +GenDataset = Union[Dataset, Callable[[], Dataset]] + + +@dataclass +class DatasetShardMetadata: + """Metadata about a dataset shard used for lookup and configuration.""" + + dataset_name: str + + +class DatasetShardProvider(Protocol): + def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: + """Get the dataset shard for the given dataset info. + Args: + dataset_info: The metadata of the shard to retrieve, + including the dataset name. + Returns: + The :class:`~ray.data.DataIterator` shard for the given dataset info. + Raises: + KeyError: If the dataset shard for the given dataset info is not found. + """ + ... diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index fd2f0df8e23e..a19b308b0709 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -17,6 +17,10 @@ from ray.train.v2.api.config import RunConfig, ScalingConfig if TYPE_CHECKING: + from ray.train.v2._internal.data_integration.interfaces import ( + DatasetShardMetadata, + DatasetShardProvider, + ) from ray.train.v2._internal.execution.callback import TrainContextCallback from ray.train.v2._internal.execution.worker_group.thread_runner import ThreadRunner @@ -92,7 +96,7 @@ class TrainContext: distributed_context: DistributedContext execution_context: ExecutionContext storage_context: StorageContext - dataset_shards: Dict[str, DataIterator] + dataset_shard_provider: "DatasetShardProvider" checkpoint: Optional[Checkpoint] = None @_copy_doc(session.get_experiment_name) @@ -133,7 +137,7 @@ def get_synchronization_actor(self): def get_checkpoint(self): return self.checkpoint - def get_dataset_shard(self, dataset_name: str) -> DataIterator: + def get_dataset_shard(self, dataset_info: "DatasetShardMetadata") -> DataIterator: """Returns the :class:`ray.data.DataIterator` shard for this worker. Call :meth:`~ray.data.DataIterator.iter_torch_batches` or @@ -141,19 +145,13 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: appropriate framework-specific data type. Args: - dataset_name: Name of the dataset shard. + dataset_info: The shard metadata, including the dataset name and worker rank. Returns: The ``DataIterator`` shard with the given name for this worker. Raises: KeyError: If the dataset shard with the given name is not found. """ - try: - return self.dataset_shards[dataset_name] - except KeyError: - raise KeyError( - f"Dataset {dataset_name} not found. Available datasets: " - f"{list(self.dataset_shards.keys())}." - ) + return self.dataset_shard_provider.get_dataset_shard(dataset_info) def get_context_callbacks(self) -> List["TrainContextCallback"]: return self.execution_context.train_context_callbacks diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index c960b32b5f45..6038e6655465 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -58,7 +58,13 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: Returns: The DataIterator shard for this worker. """ - return get_internal_train_context().get_dataset_shard(dataset_name) + from ray.train.v2._internal.data_integration.interfaces import ( + DatasetShardMetadata, + ) + + return get_internal_train_context().get_dataset_shard( + DatasetShardMetadata(dataset_name=dataset_name) + ) def get_context(self) -> ExternalTrainContext: return ExternalTrainContext() diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 667ab318296b..be2e935ca40e 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -4,13 +4,12 @@ import socket from dataclasses import dataclass from functools import cached_property -from typing import Callable, Dict, List, Optional, TypeVar, Union +from typing import TYPE_CHECKING, Callable, Dict, List, Optional, TypeVar, Union import ray import ray._private.ray_constants as ray_constants from .thread_runner import ThreadRunner from ray.actor import ActorHandle -from ray.data.iterator import DataIterator from ray.train import Checkpoint from ray.train.v2._internal.constants import ( DEFAULT_ENABLE_WORKER_LOGGING, @@ -40,6 +39,9 @@ from ray.train.v2._internal.util import ObjectRefWrapper from ray.types import ObjectRef +if TYPE_CHECKING: + from ray.train.v2._internal.data_integration.interfaces import DatasetShardProvider + T = TypeVar("T") logger = logging.getLogger(__name__) @@ -192,7 +194,7 @@ def init_train_context( synchronization_actor: SynchronizationActor, storage_context: StorageContext, worker_callbacks: List[Union[WorkerCallback, TrainContextCallback]], - dataset_shards: Dict[str, DataIterator] = None, + dataset_shard_provider: Optional["DatasetShardProvider"] = None, checkpoint: Optional[Checkpoint] = None, ): self._callbacks = [c for c in worker_callbacks if isinstance(c, WorkerCallback)] @@ -211,8 +213,8 @@ def init_train_context( train_context_callbacks=context_callbacks_to_propagate, ), storage_context=storage_context, - dataset_shards=dataset_shards or {}, checkpoint=checkpoint, + dataset_shard_provider=dataset_shard_provider, ) # Configure the train and root logger for the worker processes. if ray_constants.env_bool( diff --git a/python/ray/train/v2/tests/test_data_integration.py b/python/ray/train/v2/tests/test_data_integration.py index fe8159d5190f..bf7b0f4e694b 100644 --- a/python/ray/train/v2/tests/test_data_integration.py +++ b/python/ray/train/v2/tests/test_data_integration.py @@ -7,7 +7,8 @@ from ray.data import DataContext, ExecutionResources from ray.data._internal.iterator.stream_split_iterator import StreamSplitDataIterator from ray.data.tests.conftest import restore_data_context # noqa: F401 -from ray.train.v2._internal.callbacks import DatasetsSetupCallback +from ray.train.v2._internal.callbacks.datasets import DatasetsSetupCallback +from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.worker_group.worker_group import ( WorkerGroupContext, @@ -87,13 +88,18 @@ def test_dataset_setup_callback(ray_start_4_cpus): data_config=data_config, scaling_config=scaling_config, ) - dataset_shards = callback.before_init_train_context(worker_group.get_workers())[ - "dataset_shards" - ] - assert len(dataset_shards) == NUM_WORKERS - - processed_train_ds = dataset_shards[0]["train"] - processed_valid_ds = dataset_shards[0]["valid"] + dataset_manager_for_each_worker = callback.before_init_train_context( + worker_group.get_workers() + )["dataset_shard_provider"] + assert len(dataset_manager_for_each_worker) == NUM_WORKERS + + dataset_manager = dataset_manager_for_each_worker[0] + processed_train_ds = dataset_manager.get_dataset_shard( + DatasetShardMetadata(dataset_name="train") + ) + processed_valid_ds = dataset_manager.get_dataset_shard( + DatasetShardMetadata(dataset_name="valid") + ) assert isinstance(processed_train_ds, StreamSplitDataIterator) assert not isinstance(processed_valid_ds, StreamSplitDataIterator) From d3635826f85e84d7dd405e75a7bfe624c69794de Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 23 Aug 2025 15:50:44 -0700 Subject: [PATCH 0828/1566] [image] add extra-test stage in image building (#55725) this removes the requirement to build the extra test layer after release image, and allows caching of everything other than the ray wheel and ray wheel installation. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/build.rayci.yml | 83 +++++++++++++++++-- ci/build/build-anyscale-docker.sh | 12 +-- .../ray.cpu.base-extra-testdeps.wanda.yaml | 10 +++ .../ray.cuda.base-extra-testdeps.wanda.yaml | 10 +++ ci/ray_ci/anyscale_docker_container.py | 14 +--- ci/ray_ci/builder.py | 2 +- ci/ray_ci/ray_docker_container.py | 4 +- ci/ray_ci/test_anyscale_docker_container.py | 18 +--- 8 files changed, 105 insertions(+), 48 deletions(-) create mode 100644 ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml create mode 100644 ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index d3e04eb91848..1a9137189753 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -1,10 +1,77 @@ group: release build -tags: - - oss steps: + - name: raycpubaseextra-testdeps + label: "wanda: ray.py{{matrix}}.cpu.base-extra-testdeps" + wanda: ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml + matrix: + - "3.9" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray" + REQUIREMENTS_FILE: "requirements_byod_{{matrix}}.txt" + depends_on: + - raycpubaseextra + + - name: raycudabaseextra-testdeps + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra-testdeps" + wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.11" + - "3.12" + cuda: + - "12.3.2-cudnn9" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray" + REQUIREMENTS_FILE: "requirements_byod_{{matrix.python}}.txt" + depends_on: + - raycudabaseextra + + - name: ray-llmbaseextra-testdeps + label: "wanda: ray.py{{matrix.python}}.llm.base-extra-testdeps (cuda {{matrix.cuda}})" + wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + matrix: + setup: + python: + - "3.11" + cuda: + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-llm" + REQUIREMENTS_FILE: "requirements_llm_byod_{{matrix.python}}.txt" + depends_on: + - ray-llmbaseextra + + - name: ray-mlcudabaseextra-testdeps + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.ml.base-extra-testdeps" + wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + matrix: + setup: + python: + - "3.9" + cuda: + - "12.1.1-cudnn8" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-ml" + REQUIREMENTS_FILE: "requirements_ml_byod_{{matrix.python}}.txt" + depends_on: + - ray-mlcudabaseextra + - label: ":tapioca: build: anyscale py{{matrix.python}}-{{matrix.platform}} docker" key: anyscalebuild instance_type: release-medium + tags: + - oss commands: - bazel run //ci/ray_ci:build_in_docker -- anyscale --python-version {{matrix.python}} --platform {{matrix.platform}} @@ -12,8 +79,8 @@ steps: depends_on: - manylinux - forge - - raycudabaseextra - - raycpubaseextra + - raycpubaseextra-testdeps + - raycudabaseextra-testdeps matrix: setup: python: @@ -29,26 +96,30 @@ steps: - label: ":tapioca: build: anyscale-llm py{{matrix}} docker" key: anyscalellmbuild instance_type: release-medium + tags: + - oss commands: - bazel run //ci/ray_ci:build_in_docker -- anyscale --python-version {{matrix}} --platform cu12.8.1-cudnn --image-type ray-llm --upload depends_on: - manylinux - forge - - ray-llmbaseextra + - ray-llmbaseextra-testdeps matrix: - "3.11" - label: ":tapioca: build: anyscale-ml py{{matrix}} docker" key: anyscalemlbuild instance_type: release-medium + tags: + - oss commands: - bazel run //ci/ray_ci:build_in_docker -- anyscale --python-version {{matrix}} --platform cu12.1.1-cudnn8 --image-type ray-ml --upload depends_on: - manylinux - forge - - ray-mlcudabaseextra + - ray-mlcudabaseextra-testdeps matrix: # This list should be kept in sync with the list of supported Python in # release test suite. We don't have ray-ml release tests for Python 3.10 and 3.11 diff --git a/ci/build/build-anyscale-docker.sh b/ci/build/build-anyscale-docker.sh index 2e6db88d15f3..bcee1703e44c 100755 --- a/ci/build/build-anyscale-docker.sh +++ b/ci/build/build-anyscale-docker.sh @@ -3,17 +3,11 @@ set -euo pipefail SOURCE_IMAGE="$1" DEST_IMAGE="$2" -REQUIREMENTS="$3" -ECR="$4" - -DOCKER_BUILDKIT=1 docker build \ - --build-arg BASE_IMAGE="$SOURCE_IMAGE" \ - --build-arg PIP_REQUIREMENTS="$REQUIREMENTS" \ - -t "$DEST_IMAGE" \ - -f release/ray_release/byod/byod.Dockerfile \ - release/ray_release/byod +ECR="$3" # publish anyscale image aws ecr get-login-password --region us-west-2 | \ docker login --username AWS --password-stdin "$ECR" + +docker tag "$SOURCE_IMAGE" "$DEST_IMAGE" docker push "$DEST_IMAGE" diff --git a/ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml b/ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml new file mode 100644 index 000000000000..dbfa11ce5b11 --- /dev/null +++ b/ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml @@ -0,0 +1,10 @@ +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra-testdeps" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra"] +dockerfile: release/ray_release/byod/byod.Dockerfile +srcs: + - release/ray_release/byod/requirements_byod_$PYTHON_VERSION.txt +build_args: + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra + - PIP_REQUIREMENTS=release/ray_release/byod/$REQUIREMENTS_FILE +tags: + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra-testdeps diff --git a/ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml b/ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml new file mode 100644 index 000000000000..c27e49f812dd --- /dev/null +++ b/ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml @@ -0,0 +1,10 @@ +name: "$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra-testdeps" +froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra"] +dockerfile: release/ray_release/byod/byod.Dockerfile +srcs: + - release/ray_release/byod/$REQUIREMENTS_FILE +build_args: + - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra + - PIP_REQUIREMENTS=release/ray_release/byod/$REQUIREMENTS_FILE +tags: + - cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cu$CUDA_VERSION-base-extra-testdeps diff --git a/ci/ray_ci/anyscale_docker_container.py b/ci/ray_ci/anyscale_docker_container.py index ccf847590ceb..ff8499233daa 100644 --- a/ci/ray_ci/anyscale_docker_container.py +++ b/ci/ray_ci/anyscale_docker_container.py @@ -17,13 +17,12 @@ def run(self) -> None: tag = self._get_canonical_tag() ray_image = f"rayproject/{self.image_type}:{tag}" anyscale_image = f"{aws_registry}/anyscale/{self.image_type}:{tag}" - requirement = self._get_requirement_file() gce_credentials = get_global_config()["aws2gce_credentials"] cmds = [ # build docker image "./ci/build/build-anyscale-docker.sh " - + f"{ray_image} {anyscale_image} {requirement} {aws_registry}", + + f"{ray_image} {anyscale_image} {aws_registry}", # gcloud login f"./release/gcloud_docker_login.sh {gce_credentials}", "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", @@ -45,14 +44,3 @@ def run(self) -> None: def _should_upload(self) -> bool: return self.upload - - def _get_requirement_file(self) -> str: - if self.image_type == "ray-ml": - prefix = "requirements_ml" - elif self.image_type == "ray-llm": - prefix = "requirements_llm" - else: - prefix = "requirements" - postfix = self.python_version - - return f"{prefix}_byod_{postfix}.txt" diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 66fbe735f4ae..e6d02b251c73 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -172,7 +172,7 @@ def build_anyscale( for p in platform: RayDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload=False - ).run(use_base_extra=True) + ).run(use_base_extra_testdeps=True) AnyscaleDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload ).run() diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index 799310e009bb..e58532b10692 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -14,13 +14,13 @@ class RayDockerContainer(DockerContainer): Container for building and publishing ray docker images """ - def run(self, use_base_extra: bool = False) -> None: + def run(self, use_base_extra_testdeps: bool = False) -> None: """ Build and publish ray docker images """ assert "RAYCI_BUILD_ID" in os.environ, "RAYCI_BUILD_ID not set" rayci_build_id = os.environ["RAYCI_BUILD_ID"] - base_name = "base" if not use_base_extra else "base-extra" + base_name = "base" if not use_base_extra_testdeps else "base-extra-testdeps" if self.architecture == DEFAULT_ARCHITECTURE: suffix = base_name else: diff --git a/ci/ray_ci/test_anyscale_docker_container.py b/ci/ray_ci/test_anyscale_docker_container.py index 192fcfa2c051..5214b2c6a056 100644 --- a/ci/ray_ci/test_anyscale_docker_container.py +++ b/ci/ray_ci/test_anyscale_docker_container.py @@ -58,29 +58,13 @@ def _mock_run_script(input: List[str]) -> None: == [ "./ci/build/build-anyscale-docker.sh " f"rayproject/ray-ml:123456-{pv}-cu121 " - f"{aws_prj}:123456-{pv}-cu121 requirements_ml_byod_{v}.txt {aws_ecr}", + f"{aws_prj}:123456-{pv}-cu121 {aws_ecr}", f"./release/gcloud_docker_login.sh {gce_credentials}", "export PATH=$(pwd)/google-cloud-sdk/bin:$PATH", ] + push_cmds_want ) - def test_requirements_file(self) -> None: - container = AnyscaleDockerContainer("3.11", "cu12.1.1-cudnn8", "ray-ml") - assert container._get_requirement_file() == "requirements_ml_byod_3.11.txt" - - container = AnyscaleDockerContainer("3.9", "cu12.1.1-cudnn8", "ray-ml") - assert container._get_requirement_file() == "requirements_ml_byod_3.9.txt" - - container = AnyscaleDockerContainer("3.11", "cu12.4.1-cudnn", "ray-llm") - assert container._get_requirement_file() == "requirements_llm_byod_3.11.txt" - - container = AnyscaleDockerContainer("3.9", "cpu", "ray") - assert container._get_requirement_file() == "requirements_byod_3.9.txt" - - container = AnyscaleDockerContainer("3.12", "cpu", "ray") - assert container._get_requirement_file() == "requirements_byod_3.12.txt" - if __name__ == "__main__": sys.exit(pytest.main(["-vv", __file__])) From 21c2ffa348bf647e803c6f398f13bfeb6ab6807f Mon Sep 17 00:00:00 2001 From: Jiang Wu Date: Sun, 24 Aug 2025 15:05:20 -0700 Subject: [PATCH 0829/1566] [data.llm] Skip safetensor file downloads for runai streamer mode (#55662) Signed-off-by: Jiang Wu Signed-off-by: Jiang Wu Signed-off-by: Douglas Strodtman --- .../_internal/batch/stages/vllm_engine_stage.py | 11 ++++++++++- .../llm/_internal/common/utils/cloud_utils.py | 17 ++++++++++++++++- .../_internal/common/utils/download_utils.py | 16 ++++++++++++++-- 3 files changed, 40 insertions(+), 4 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index 5395e448621e..092622d70bea 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -465,11 +465,20 @@ def __init__( if self.max_pending_requests > 0: logger.info("Max pending requests is set to %d", self.max_pending_requests) + exclude_safetensors = self.engine_kwargs.get("load_format") in [ + "runai_streamer", + "tensorizer", + ] + if exclude_safetensors: + download_model = NodeModelDownloadable.EXCLUDE_SAFETENSORS + else: + download_model = NodeModelDownloadable.MODEL_AND_TOKENIZER + # Download the model if needed. model_source = download_model_files( model_id=self.model, mirror_config=None, - download_model=NodeModelDownloadable.MODEL_AND_TOKENIZER, + download_model=download_model, download_extra_files=False, ) diff --git a/python/ray/llm/_internal/common/utils/cloud_utils.py b/python/ray/llm/_internal/common/utils/cloud_utils.py index 209b3a30ec15..0db75809efd5 100644 --- a/python/ray/llm/_internal/common/utils/cloud_utils.py +++ b/python/ray/llm/_internal/common/utils/cloud_utils.py @@ -233,6 +233,7 @@ def download_files( path: str, bucket_uri: str, substrings_to_include: Optional[List[str]] = None, + suffixes_to_exclude: Optional[List[str]] = None, ) -> None: """Download files from cloud storage to a local directory. @@ -240,6 +241,7 @@ def download_files( path: Local directory where files will be downloaded bucket_uri: URI of cloud directory substrings_to_include: Only include files containing these substrings + suffixes_to_exclude: Exclude certain files from download (e.g .safetensors) """ try: fs, source_path = CloudFileSystem.get_fs_and_path(bucket_uri) @@ -266,6 +268,11 @@ def download_files( ): continue + # Check if file matches suffixes to exclude filter + if suffixes_to_exclude: + if any(rel_path.endswith(suffix) for suffix in suffixes_to_exclude): + continue + # Create destination directory if needed if "/" in rel_path: dest_dir = os.path.join(path, os.path.dirname(rel_path)) @@ -283,7 +290,10 @@ def download_files( @staticmethod def download_model( - destination_path: str, bucket_uri: str, tokenizer_only: bool + destination_path: str, + bucket_uri: str, + tokenizer_only: bool, + exclude_safetensors: bool = False, ) -> None: """Download a model from cloud storage. @@ -294,6 +304,7 @@ def download_model( destination_path: Path where the model will be stored bucket_uri: URI of the cloud directory containing the model tokenizer_only: If True, only download tokenizer-related files + exclude_safetensors: If True, skip download of safetensor files """ try: fs, source_path = CloudFileSystem.get_fs_and_path(bucket_uri) @@ -333,10 +344,14 @@ def download_model( tokenizer_file_substrings = ( ["tokenizer", "config.json"] if tokenizer_only else [] ) + + safetensors_to_exclude = [".safetensors"] if exclude_safetensors else None + CloudFileSystem.download_files( path=destination_dir, bucket_uri=bucket_uri, substrings_to_include=tokenizer_file_substrings, + suffixes_to_exclude=safetensors_to_exclude, ) except Exception as e: diff --git a/python/ray/llm/_internal/common/utils/download_utils.py b/python/ray/llm/_internal/common/utils/download_utils.py index 2d4e0db908d0..88d8e208a226 100644 --- a/python/ray/llm/_internal/common/utils/download_utils.py +++ b/python/ray/llm/_internal/common/utils/download_utils.py @@ -24,6 +24,7 @@ class NodeModelDownloadable(enum.Enum): MODEL_AND_TOKENIZER = enum.auto() TOKENIZER_ONLY = enum.auto() + EXCLUDE_SAFETENSORS = enum.auto() NONE = enum.auto() def __bool__(self): @@ -36,7 +37,11 @@ def union(self, other: "NodeModelDownloadable") -> "NodeModelDownloadable": or other == NodeModelDownloadable.MODEL_AND_TOKENIZER ): return NodeModelDownloadable.MODEL_AND_TOKENIZER - + if ( + self == NodeModelDownloadable.EXCLUDE_SAFETENSORS + or other == NodeModelDownloadable.EXCLUDE_SAFETENSORS + ): + return NodeModelDownloadable.EXCLUDE_SAFETENSORS if ( self == NodeModelDownloadable.TOKENIZER_ONLY or other == NodeModelDownloadable.TOKENIZER_ONLY @@ -111,11 +116,13 @@ class CloudModelDownloader(CloudModelAccessor): def get_model( self, tokenizer_only: bool, + exclude_safetensors: bool = False, ) -> str: """Gets a model from cloud storage and stores it locally. Args: tokenizer_only: whether to download only the tokenizer files. + exclude_safetensors: whether to download safetensors files to disk. Returns: file path of model if downloaded, else the model id. """ @@ -135,10 +142,13 @@ def get_model( # This ensures that subsequent processes don't duplicate work. with FileLock(lock_path, timeout=0): try: + if exclude_safetensors: + logger.info("Skipping download of safetensors files.") CloudFileSystem.download_model( destination_path=path, bucket_uri=bucket_uri, tokenizer_only=tokenizer_only, + exclude_safetensors=exclude_safetensors, ) logger.info( "Finished downloading %s for %s from %s storage", @@ -282,7 +292,9 @@ def download_model_files( if download_model != NodeModelDownloadable.NONE: model_path_or_id = downloader.get_model( - tokenizer_only=download_model == NodeModelDownloadable.TOKENIZER_ONLY + tokenizer_only=download_model == NodeModelDownloadable.TOKENIZER_ONLY, + exclude_safetensors=download_model + == NodeModelDownloadable.EXCLUDE_SAFETENSORS, ) if download_extra_files: From 006a620ccd1f5dfba35ca26ae4abf376b183e59e Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Sun, 24 Aug 2025 22:15:14 -0700 Subject: [PATCH 0830/1566] [core][chore] Rename `obj_ref` to `object_refs` because `invocation` returns a list of ObjectRef in most cases (#55868) Signed-off-by: kaihsun Signed-off-by: Douglas Strodtman --- python/ray/actor.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/python/ray/actor.py b/python/ray/actor.py index fba4a4d39bb2..4e9e22f1a7dd 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -855,14 +855,18 @@ def invocation(args, kwargs): if self._decorator is not None: invocation = self._decorator(invocation) - obj_ref = invocation(args, kwargs) + object_refs = invocation(args, kwargs) if tensor_transport != TensorTransportEnum.OBJECT_STORE: + # Currently, we only support transfer tensor out-of-band when + # num_returns is 1. + assert isinstance(object_refs, ObjectRef) + object_ref = object_refs gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager gpu_object_manager.add_gpu_object_ref( - obj_ref, self._actor, tensor_transport + object_ref, self._actor, tensor_transport ) - return obj_ref + return object_refs def __getstate__(self): return { From 9bb79a0e711377b239afed47e2cd4abee2b52cbf Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Mon, 25 Aug 2025 09:26:49 -0700 Subject: [PATCH 0831/1566] [Core] [Doc] Lifecycle of a task (#55496) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- doc/source/ray-core/internals.rst | 12 +++ .../ray-core/internals/task-lifecycle.rst | 83 +++++++++++++++++++ doc/source/ray-core/walkthrough.rst | 3 +- 3 files changed, 97 insertions(+), 1 deletion(-) create mode 100644 doc/source/ray-core/internals.rst create mode 100644 doc/source/ray-core/internals/task-lifecycle.rst diff --git a/doc/source/ray-core/internals.rst b/doc/source/ray-core/internals.rst new file mode 100644 index 000000000000..69505a23c1ad --- /dev/null +++ b/doc/source/ray-core/internals.rst @@ -0,0 +1,12 @@ +.. _ray-core-internals: + +Internals +========= + +This section provides a look into some of Ray Core internals. It's primarily intended for advanced users and developers of Ray Core. +For the high level architecture overview, please refer to the `whitepaper `__. + +.. toctree:: + :maxdepth: 1 + + internals/task-lifecycle.rst diff --git a/doc/source/ray-core/internals/task-lifecycle.rst b/doc/source/ray-core/internals/task-lifecycle.rst new file mode 100644 index 000000000000..a3d47d9f7017 --- /dev/null +++ b/doc/source/ray-core/internals/task-lifecycle.rst @@ -0,0 +1,83 @@ +.. _task-lifecycle: + +Task Lifecycle +============== + +This doc talks about the lifecycle of a task in Ray Core, including how tasks are defined, scheduled and executed. +We will use the following code as an example and the internals are based on Ray 2.48. + + +.. testcode:: + + import ray + + @ray.remote + def my_task(arg): + return f"Hello, {arg}!" + + obj_ref = my_task.remote("Ray") + print(ray.get(obj_ref)) + +.. testoutput:: + + Hello, Ray! + + +Defining a remote function +-------------------------- + +The first step in the task lifecycle is defining a remote function using the :func:`ray.remote` decorator. :func:`ray.remote` wraps the Python function and returns an instance of `RemoteFunction `__. +``RemoteFunction`` stores the underlying function and all the user specified Ray task :meth:`options ` such as ``num_cpus``. + + +Invoking a remote function +-------------------------- + +Once a remote function is defined, it can be invoked using the `.remote()` method. Each invocation of a remote function creates a Ray task. This method submits the task for execution and returns an object reference (``ObjectRef``) that can be used to retrieve the result later. +Under the hood, `.remote()` does the following: + +1. `Pickles the underlying function `__ into bytes and `stores the bytes in GCS key-value store `__ with a `key `__ so that, later on, the remote executor (the core worker process that will execute the task) can get the bytes, unpickle, and execute the function. This is done once per remote function definition instead of once per invocation. +2. `Calls `__ Cython `submit_task `__ which `prepares `__ the arguments (3 types) and calls the C++ `CoreWorker::SubmitTask `__. + + 1. Pass-by-reference argument: the argument is an ``ObjectRef``. + 2. Pass-by-value inline argument: the argument is a `small `__ Python object and the total size of such arguments so far is below the `threshold `__. In this case, it will be pickled, sent to the remote executor (as part of the ``PushTask`` RPC), and unpickled there. This is called inlining and plasma store is not involved in this case. + 3. Pass-by-value non-inline argument: the argument is a normal Python object but it doesn't meet the inline criteria (e.g. size is too big), it is `put `__ in the local plasma store and the argument is replaced by the generated ``ObjectRef``, so it's effectively equivalent to ``.remote(ray.put(arg))``. + +3. ``CoreWorker`` `builds `__ a `TaskSpecification `__ that contains all the information about the task including the `ID `__ of the function, all the user specified options and the arguments. This spec will be sent to the executor for execution. +4. The TaskSpecification is `submitted `__ to `NormalTaskSubmitter `__ asynchronously. This means the ``.remote()`` call returns immediately and the task is scheduled and executed asynchronously. + +Scheduling a task +----------------- + +Once the task is submitted to ``NormalTaskSubmitter``, a worker process on some Ray node is selected to execute the task and this process is called scheduling. + +1. ``NormalTaskSubmitter`` first `waits `__ for all the ``ObjectRef`` arguments to be available. Available means tasks that produce those ``ObjectRef``\s finished execution and the data is available somewhere in the cluster. + + 1. If the object pointed to by the ``ObjectRef`` is in the plasma store, the ``ObjectRef`` itself is sent to the executor and the executor will resolve the ``ObjectRef`` to the actual data (pull from remote plasma store if needed) before calling the user function. + 2. If the object pointed to by the ``ObjectRef`` is in the caller memory store, the data is `inlined `__ and sent to the executor as part of the ``PushTask`` RPC just like other pass-by-value inline arguments. + +2. Once all the arguments are available, ``NormalTaskSubmitter`` will try to find an idle worker to execute the task. ``NormalTaskSubmitter`` gets workers for task execution from raylet via a process called worker lease and this is where scheduling happens. + Specifically, it will `send `__ a ``RequestWorkerLease`` RPC to a `selected `__ (it's either the local raylet or a data-locality-favored raylet) raylet for a worker lease. +3. Raylet `handles `__ the ``RequestWorkerLease`` RPC. +4. When the ``RequestWorkerLease`` RPC returns and a leased worker address is included in the response, a worker lease is granted to the caller to execute the task. If the ``RequestWorkerLease`` response contains another raylet address instead, ``NormalTaskSubmitter`` will then worker lease from the specified raylet. This process continues until a worker lease is obtained. + +Executing a task +---------------- + +Once a leased worker is obtained, the task execution starts. + +1. ``NormalTaskSubmitter`` `sends `__ a ``PushTask`` RPC to the leased worker with the ``TaskSpecification`` to execute. +2. The executor `receives `__ the ``PushTask`` RPC and executes (`1 `__ -> `2 `__ -> `3 `__ -> `4 `__ -> `5 `__) the task. +3. First step of executing the task is `getting `__ all the pass-by-reference arguments from the local plasma store (data is already pulled from remote plasma store to the local plasma store during scheduling). +4. Then the executor `gets `__ the pickled function bytes from GCS key-value store and unpickles it. +5. The next step is `unpickling `__ the arguments. +6. Finally, the user function is `called `__. + +Getting the return value +------------------------ + +After the user function is executed, the caller can get the return values. + +1. After the user function returns, the executor `gets and stores `__ all the return values. If the return value is a `small `__ object and the total size of such return values so far is below the `threshold `__, it is returned directly to the caller as part of the ``PushTask`` RPC response. `Otherwise `__, it is put in the local plasma store and the reference is returned to the caller. +2. When the caller `receives `__ the ``PushTask`` RPC response, it `stores `__ the return values (actual data if the return value is small or a special value indicating the data is in plasma store if the return value is big) in the local memory store. +3. When the return value is `added `__ to the local memory store, ``ray.get()`` is `unblocked `__ and returns the value directly if the object is small, or it will `get `__ from the local plasma store (pull from remote plasma store first if needed) if the object is big. diff --git a/doc/source/ray-core/walkthrough.rst b/doc/source/ray-core/walkthrough.rst index 1fb7f8a8b3c6..938b219dedc4 100644 --- a/doc/source/ray-core/walkthrough.rst +++ b/doc/source/ray-core/walkthrough.rst @@ -11,6 +11,7 @@ What's Ray Core? User Guides Examples api/index + Internals Ray Core is a powerful distributed computing framework that provides a small set of essential primitives (tasks, actors, and objects) for building and scaling distributed applications. @@ -58,7 +59,7 @@ Here's a simple example: Calling an Actor ---------------- -While tasks are stateless, Ray actors allow you to create stateful workers that maintain their internal state between method calls. +While tasks are stateless, Ray actors allow you to create stateful workers that maintain their internal state between method calls. When you instantiate a Ray actor: 1. Ray starts a dedicated worker process somewhere in your cluster From b6174712fd3161c774e4413aeab5e53baacbaaba Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Mon, 25 Aug 2025 10:00:44 -0700 Subject: [PATCH 0832/1566] [serve] Allow same event loop handle shutdown from sync context (#55551) ## Why are these changes needed? In the case user calls `serve.shutdown()`, we'd still want to be able to shutdown the handle if user has initialized it running in the same event loop. The current behaior may throw a runtime error. In order to block on the shutdown result in the same event loop without causing deadlock, the shutdown sequence in `CurrentLoopRouter` needs to happen in a separate thread (instead of the same event loop). ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: alexyang Signed-off-by: Douglas Strodtman --- ci/docker/min.build.Dockerfile | 1 + doc/source/serve/api/index.md | 1 + python/ray/serve/__init__.py | 2 + python/ray/serve/_private/client.py | 45 ++++- python/ray/serve/api.py | 20 +++ python/ray/serve/handle.py | 12 +- python/ray/serve/tests/conftest.py | 12 +- .../ray/serve/tests/test_handle_same_loop.py | 16 +- python/ray/serve/tests/test_standalone.py | 155 ++++++++++++++++++ 9 files changed, 246 insertions(+), 18 deletions(-) diff --git a/ci/docker/min.build.Dockerfile b/ci/docker/min.build.Dockerfile index 00e6082788d6..fa88dbfb435d 100644 --- a/ci/docker/min.build.Dockerfile +++ b/ci/docker/min.build.Dockerfile @@ -31,6 +31,7 @@ elif [[ "${EXTRA_DEPENDENCY}" == "default" ]]; then pip-compile -o min_requirements.txt python/setup.py --extra default elif [[ "${EXTRA_DEPENDENCY}" == "serve" ]]; then echo "httpx==0.27.2" >> /tmp/min_build_requirements.txt + echo "pytest-asyncio==1.1.0" >> /tmp/min_build_requirements.txt pip-compile -o min_requirements.txt /tmp/min_build_requirements.txt python/setup.py --extra "serve-grpc" rm /tmp/min_build_requirements.txt fi diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index 75e60e8577d6..5b5620c86022 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -70,6 +70,7 @@ See the [model composition guide](serve-model-composition) for how to update cod serve.delete serve.status serve.shutdown + serve.shutdown_async ``` ### Configurations diff --git a/python/ray/serve/__init__.py b/python/ray/serve/__init__.py index 0d5b38cf84fe..379b118ac1f5 100644 --- a/python/ray/serve/__init__.py +++ b/python/ray/serve/__init__.py @@ -19,6 +19,7 @@ run, run_many, shutdown, + shutdown_async, start, status, ) @@ -47,6 +48,7 @@ "HTTPOptions", "get_replica_context", "shutdown", + "shutdown_async", "ingress", "deployment", "run", diff --git a/python/ray/serve/_private/client.py b/python/ray/serve/_private/client.py index ffec15fa89c2..b871553abda0 100644 --- a/python/ray/serve/_private/client.py +++ b/python/ray/serve/_private/client.py @@ -1,3 +1,4 @@ +import asyncio import logging import random import time @@ -80,18 +81,31 @@ def http_config(self): def __reduce__(self): raise RayServeException(("Ray Serve client cannot be serialized.")) - def shutdown_cached_handles(self, _skip_asyncio_check: bool = False): + def shutdown_cached_handles(self): """Shuts down all cached handles. Remove the reference to the cached handles so that they can be garbage collected. """ for cache_key in list(self.handle_cache): - self.handle_cache[cache_key].shutdown( - _skip_asyncio_check=_skip_asyncio_check - ) + self.handle_cache[cache_key].shutdown() + del self.handle_cache[cache_key] + + async def shutdown_cached_handles_async(self): + """Shuts down all cached handles asynchronously. + + Remove the reference to the cached handles so that they can be + garbage collected. + """ + + async def shutdown_task(cache_key): + await self.handle_cache[cache_key].shutdown_async() del self.handle_cache[cache_key] + await asyncio.gather( + *[shutdown_task(cache_key) for cache_key in list(self.handle_cache)] + ) + def shutdown(self, timeout_s: float = 30.0) -> None: """Completely shut down the connected Serve instance. @@ -113,6 +127,29 @@ def shutdown(self, timeout_s: float = 30.0) -> None: ) self._shutdown = True + async def shutdown_async(self, timeout_s: float = 30.0) -> None: + """Completely shut down the connected Serve instance. + + Shuts down all processes and deletes all state associated with the + instance. + """ + await self.shutdown_cached_handles_async() + + if ray.is_initialized() and not self._shutdown: + try: + await asyncio.wait_for( + self._controller.graceful_shutdown.remote(), timeout=timeout_s + ) + except ray.exceptions.RayActorError: + # Controller has been shut down. + pass + except TimeoutError: + logger.warning( + f"Controller failed to shut down within {timeout_s}s. " + "Check controller logs for more details." + ) + self._shutdown = True + def _wait_for_deployment_healthy(self, name: str, timeout_s: int = -1): """Waits for the named deployment to enter "HEALTHY" status. diff --git a/python/ray/serve/api.py b/python/ray/serve/api.py index 8a852d6a1dc9..5ae14f3c8afd 100644 --- a/python/ray/serve/api.py +++ b/python/ray/serve/api.py @@ -138,6 +138,26 @@ def shutdown(): _set_global_client(None) +@PublicAPI(stability="alpha") +async def shutdown_async(): + """Completely shut down Serve on the cluster asynchronously. + + Deletes all applications and shuts down Serve system actors. + """ + + try: + client = _get_global_client() + except RayServeException: + logger.info( + "Nothing to shut down. There's no Serve application " + "running on this Ray cluster." + ) + return + + await client.shutdown_async() + _set_global_client(None) + + @DeveloperAPI def get_replica_context() -> ReplicaContext: """Returns the deployment and replica tag from within a replica at runtime. diff --git a/python/ray/serve/handle.py b/python/ray/serve/handle.py index 5356a18db2de..929cb6682c27 100644 --- a/python/ray/serve/handle.py +++ b/python/ray/serve/handle.py @@ -212,17 +212,17 @@ def _remote( def __getattr__(self, name): return self.options(method_name=name) - def shutdown(self, _skip_asyncio_check: bool = False): + def shutdown(self): if self._router: shutdown_future = self._router.shutdown() if self._is_router_running_in_separate_loop(): shutdown_future.result() else: - if not _skip_asyncio_check: - raise RuntimeError( - "Sync methods should not be called from within an `asyncio` event " - "loop. Use `await handle.shutdown_async()` instead." - ) + logger.warning( + "Synchronously shutting down a router that's running in the same " + "event loop can only be done best effort. Please use " + "`shutdown_async` instead." + ) async def shutdown_async(self): if self._router: diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 3ccfb9e45dc5..5de04057db06 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -7,6 +7,7 @@ import httpx import pytest +import pytest_asyncio import ray from ray import serve @@ -152,13 +153,22 @@ def _shared_serve_instance(): yield _get_global_client() +@pytest_asyncio.fixture +async def serve_instance_async(_shared_serve_instance): + yield _shared_serve_instance + # Clear all state for 2.x applications and deployments. + _shared_serve_instance.delete_all_apps() + # Clear the ServeHandle cache between tests to avoid them piling up. + await _shared_serve_instance.shutdown_cached_handles_async() + + @pytest.fixture def serve_instance(_shared_serve_instance): yield _shared_serve_instance # Clear all state for 2.x applications and deployments. _shared_serve_instance.delete_all_apps() # Clear the ServeHandle cache between tests to avoid them piling up. - _shared_serve_instance.shutdown_cached_handles(_skip_asyncio_check=True) + _shared_serve_instance.shutdown_cached_handles() @pytest.fixture diff --git a/python/ray/serve/tests/test_handle_same_loop.py b/python/ray/serve/tests/test_handle_same_loop.py index 78dcde1963cb..056703fe4365 100644 --- a/python/ray/serve/tests/test_handle_same_loop.py +++ b/python/ray/serve/tests/test_handle_same_loop.py @@ -24,7 +24,7 @@ def _skip_test_if_router_running_in_separate_loop(): @pytest.mark.asyncio async def test_deployment_handle_works_with_await_when_router_in_same_loop( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): @serve.deployment class F: @@ -50,7 +50,7 @@ def __call__(self): @pytest.mark.asyncio async def test_deployment_handle_result_fails_in_async_context_but_await_succeeds( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): @serve.deployment class F: @@ -81,7 +81,9 @@ def __call__(self): @pytest.mark.asyncio -async def test_deployment_handle_configured_for_same_loop_via_init(serve_instance): +async def test_deployment_handle_configured_for_same_loop_via_init( + serve_instance_async, +): @serve.deployment class F: def __call__(self): @@ -119,7 +121,7 @@ async def __call__(self): @pytest.mark.asyncio async def test_deployment_handle_exception_propagation_in_same_loop( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): """Test that exceptions are properly propagated when router runs in same loop.""" @@ -136,7 +138,7 @@ def __call__(self): @pytest.mark.asyncio async def test_streaming_response_generator_in_same_loop( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): """Test that streaming responses work correctly when router runs in same loop.""" @@ -159,7 +161,7 @@ def generate_numbers(self, limit: int): @pytest.mark.asyncio async def test_concurrent_requests_in_same_loop( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): """Test that multiple concurrent requests work correctly in same loop mode.""" @@ -185,7 +187,7 @@ async def slow_operation(self, delay: float, value: str): @pytest.mark.asyncio async def test_request_cancellation_in_same_loop( - serve_instance, _skip_test_if_router_running_in_separate_loop + serve_instance_async, _skip_test_if_router_running_in_separate_loop ): """Test that request cancellation works correctly when router runs in same loop.""" signal_actor = SignalActor.remote() diff --git a/python/ray/serve/tests/test_standalone.py b/python/ray/serve/tests/test_standalone.py index ba4b506ded42..2ddb36190acc 100644 --- a/python/ray/serve/tests/test_standalone.py +++ b/python/ray/serve/tests/test_standalone.py @@ -125,6 +125,53 @@ def check_dead(): wait_for_condition(check_dead) +@pytest.mark.asyncio +async def test_shutdown_async(ray_shutdown): + ray.init(num_cpus=8) + serve.start(http_options=dict(port=8003)) + gcs_client = GcsClient(address=ray.get_runtime_context().gcs_address) + cluster_node_info_cache = create_cluster_node_info_cache(gcs_client) + cluster_node_info_cache.update() + + @serve.deployment + def f(): + pass + + serve.run(f.bind()) + + actor_names = [ + SERVE_CONTROLLER_NAME, + format_actor_name( + SERVE_PROXY_NAME, + cluster_node_info_cache.get_alive_nodes()[0][0], + ), + ] + + def check_alive(): + alive = True + for actor_name in actor_names: + try: + ray.get_actor(actor_name, namespace=SERVE_NAMESPACE) + except ValueError: + alive = False + return alive + + wait_for_condition(check_alive) + + await serve.shutdown_async() + + def check_dead(): + for actor_name in actor_names: + try: + ray.get_actor(actor_name, namespace=SERVE_NAMESPACE) + return False + except ValueError: + pass + return True + + wait_for_condition(check_dead) + + def test_single_app_shutdown_actors(ray_shutdown): """Tests serve.shutdown() works correctly in single-app case @@ -165,6 +212,47 @@ def check_dead(): wait_for_condition(check_dead) +@pytest.mark.asyncio +async def test_single_app_shutdown_actors_async(ray_shutdown): + """Tests serve.shutdown_async() works correctly in single-app case + + Ensures that after deploying a (nameless) app using serve.run(), serve.shutdown_async() + deletes all actors (controller, http proxy, all replicas) in the "serve" namespace. + """ + address = ray.init(num_cpus=8)["address"] + serve.start(http_options=dict(port=8003)) + + @serve.deployment + def f(): + pass + + serve.run(f.bind(), name="app") + + actor_names = { + "ServeController", + "ProxyActor", + "ServeReplica:app:f", + } + + def check_alive(): + actors = list_actors( + address=address, + filters=[("ray_namespace", "=", SERVE_NAMESPACE), ("state", "=", "ALIVE")], + ) + return {actor["class_name"] for actor in actors} == actor_names + + def check_dead(): + actors = list_actors( + address=address, + filters=[("ray_namespace", "=", SERVE_NAMESPACE), ("state", "=", "ALIVE")], + ) + return len(actors) == 0 + + wait_for_condition(check_alive) + await serve.shutdown_async() + wait_for_condition(check_dead) + + def test_multi_app_shutdown_actors(ray_shutdown): """Tests serve.shutdown() works correctly in multi-app case. @@ -207,6 +295,49 @@ def check_dead(): wait_for_condition(check_dead) +@pytest.mark.asyncio +async def test_multi_app_shutdown_actors_async(ray_shutdown): + """Tests serve.shutdown_async() works correctly in multi-app case. + + Ensures that after deploying multiple distinct applications, serve.shutdown_async() + deletes all actors (controller, http proxy, all replicas) in the "serve" namespace. + """ + address = ray.init(num_cpus=8)["address"] + serve.start(http_options=dict(port=8003)) + + @serve.deployment + def f(): + pass + + serve.run(f.bind(), name="app1", route_prefix="/app1") + serve.run(f.bind(), name="app2", route_prefix="/app2") + + actor_names = { + "ServeController", + "ProxyActor", + "ServeReplica:app1:f", + "ServeReplica:app2:f", + } + + def check_alive(): + actors = list_actors( + address=address, + filters=[("ray_namespace", "=", SERVE_NAMESPACE), ("state", "=", "ALIVE")], + ) + return {actor["class_name"] for actor in actors} == actor_names + + def check_dead(): + actors = list_actors( + address=address, + filters=[("ray_namespace", "=", SERVE_NAMESPACE), ("state", "=", "ALIVE")], + ) + return len(actors) == 0 + + wait_for_condition(check_alive) + await serve.shutdown_async() + wait_for_condition(check_dead) + + def test_deployment(ray_cluster): # https://github.com/ray-project/ray/issues/11437 @@ -518,6 +649,30 @@ def __call__(self, *args): assert len(serve.status().applications) == 1 +@pytest.mark.asyncio +async def test_serve_shutdown_async(ray_shutdown): + ray.init(namespace="serve") + serve.start() + + @serve.deployment + class A: + def __call__(self, *args): + return "hi" + + serve.run(A.bind()) + + assert len(serve.status().applications) == 1 + + await serve.shutdown_async() + serve.start() + + assert len(serve.status().applications) == 0 + + serve.run(A.bind()) + + assert len(serve.status().applications) == 1 + + def test_instance_in_non_anonymous_namespace(ray_shutdown): # Can start instance in non-anonymous namespace. ray.init(namespace="foo") From c6b2815bbf1f0175bf752f33129ce4f6b5b65d2a Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 26 Aug 2025 01:06:19 +0800 Subject: [PATCH 0833/1566] [DOC] Fixed a number of typos in doc by gpt5 agent (#55873) Signed-off-by: Douglas Strodtman --- .../vms/user-guides/large-cluster-best-practices.rst | 2 +- doc/source/data/aggregations.rst | 2 +- doc/source/data/batch_inference.rst | 6 +++--- doc/source/data/working-with-pytorch.rst | 2 +- doc/source/ray-core/compiled-graph/ray-compiled-graph.rst | 2 +- doc/source/ray-core/handling-dependencies.rst | 4 ++-- .../e2e-multimodal-ai-workloads/doggos/doggos/serve.py | 2 +- doc/source/rllib/multi-agent-envs.rst | 2 +- doc/source/rllib/rllib-algorithms.rst | 2 +- doc/source/rllib/rllib-examples.rst | 2 +- 10 files changed, 13 insertions(+), 13 deletions(-) diff --git a/doc/source/cluster/vms/user-guides/large-cluster-best-practices.rst b/doc/source/cluster/vms/user-guides/large-cluster-best-practices.rst index 278673bf7734..6dcff6758ab0 100644 --- a/doc/source/cluster/vms/user-guides/large-cluster-best-practices.rst +++ b/doc/source/cluster/vms/user-guides/large-cluster-best-practices.rst @@ -127,7 +127,7 @@ General recommendations with AWS instance types: should help with this). If your CPU utilization is low add GPUs, or vice versa. * The exact ratio will be very dependent on your workload. -* Once you find a good ratio, you should be able to scale up and and keep the +* Once you find a good ratio, you should be able to scale up and keep the same ratio. * You can’t infinitely scale forever. Eventually, as you add more machines your performance improvements will become sub-linear/not worth it. There may not diff --git a/doc/source/data/aggregations.rst b/doc/source/data/aggregations.rst index ffaa2263736c..3ab3da449acd 100644 --- a/doc/source/data/aggregations.rst +++ b/doc/source/data/aggregations.rst @@ -145,7 +145,7 @@ Here's an example of creating a custom aggregator that calculates the Mean of va .. note:: Internally, aggregations support both the :ref:`hash-shuffle backend ` and the :ref:`range based backend `. - Hash-shuffling can provide better performance for aggregations in certain cases. For more information see `comparision between hash based shuffling and Range Based shuffling approach `_ . + Hash-shuffling can provide better performance for aggregations in certain cases. For more information see `comparison between hash based shuffling and Range Based shuffling approach `_ . To use the hash-shuffle algorithm for aggregations, you need to set the shuffle strategy explicitly: ``ray.data.DataContext.get_current().shuffle_strategy = ShuffleStrategy.HASH_SHUFFLE`` before creating a ``Dataset`` diff --git a/doc/source/data/batch_inference.rst b/doc/source/data/batch_inference.rst index 1e6b1f9c996b..8d80808e5465 100644 --- a/doc/source/data/batch_inference.rst +++ b/doc/source/data/batch_inference.rst @@ -55,7 +55,7 @@ For how to configure batch inference, see :ref:`the configuration guide`_ - `Ray Compiled Graph talk at Ray Summit `_ -- `Heterogenous training with Ray Compiled Graph `_ +- `Heterogeneous training with Ray Compiled Graph `_ - `Distributed LLM inference with Ray Compiled Graph `_ Table of Contents diff --git a/doc/source/ray-core/handling-dependencies.rst b/doc/source/ray-core/handling-dependencies.rst index 440b0dad0507..272cb5aebe36 100644 --- a/doc/source/ray-core/handling-dependencies.rst +++ b/doc/source/ray-core/handling-dependencies.rst @@ -39,7 +39,7 @@ Preparing an environment using the Ray Cluster launcher The first way to set up dependencies is to prepare a single environment across the cluster before starting the Ray runtime. -- You can build all your files and dependencies into a container image and specify this in your your :ref:`Cluster YAML Configuration `. +- You can build all your files and dependencies into a container image and specify this in your :ref:`Cluster YAML Configuration `. - You can also install packages using ``setup_commands`` in the Ray Cluster configuration file (:ref:`reference `); these commands will be run as each node joins the cluster. Note that for production settings, it is recommended to build any necessary packages into a container image instead. @@ -613,7 +613,7 @@ The ``runtime_env`` is a Python dictionary or a Python class :class:`ray.runtime - Example: ``{"LD_LIBRARY_PATH": "${LD_LIBRARY_PATH}:/home/admin/my_lib"}`` - - Non-existant variable example: ``{"ENV_VAR_NOT_EXIST": "${ENV_VAR_NOT_EXIST}:/home/admin/my_lib"}`` -> ``ENV_VAR_NOT_EXIST=":/home/admin/my_lib"``. + - Non-existent variable example: ``{"ENV_VAR_NOT_EXIST": "${ENV_VAR_NOT_EXIST}:/home/admin/my_lib"}`` -> ``ENV_VAR_NOT_EXIST=":/home/admin/my_lib"``. - ``nsight`` (Union[str, Dict[str, str]]): specifies the config for the Nsight System Profiler. The value is either (1) "default", which refers to the `default config `_, or (2) a dict of Nsight System Profiler options and their values. See :ref:`here ` for more details on setup and usage. diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py index 350d2a0cc789..da8ff6a1b778 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/doggos/serve.py @@ -24,7 +24,7 @@ class ClassPredictor: def __init__(self, model_id, artifacts_dir, device="cuda"): """Initialize the model.""" - # Embdding model + # Embedding model self.processor = CLIPProcessor.from_pretrained(model_id) self.model = CLIPModel.from_pretrained(model_id) self.model.to(device=device) diff --git a/doc/source/rllib/multi-agent-envs.rst b/doc/source/rllib/multi-agent-envs.rst index 9c4a48e10a55..232f9516c23e 100644 --- a/doc/source/rllib/multi-agent-envs.rst +++ b/doc/source/rllib/multi-agent-envs.rst @@ -300,7 +300,7 @@ receives +1 reward. The losing player receives a -1 reward. To make the implementation easier, the aberration from the original game is that trying to place a piece on an already occupied field results in the board not changing at all, but the moving player receiving a -5 reward as a penalty (in the original game, this move is -simply not allowed and therefor can never happen). +simply not allowed and therefore can never happen). Here is your initial class scaffold for the Tic-Tac-Toe game: diff --git a/doc/source/rllib/rllib-algorithms.rst b/doc/source/rllib/rllib-algorithms.rst index dd8e84713c03..e5743f8e306a 100644 --- a/doc/source/rllib/rllib-algorithms.rst +++ b/doc/source/rllib/rllib-algorithms.rst @@ -218,7 +218,7 @@ Importance Weighted Actor-Learner Architecture (IMPALA) **IMPALA architecture:** In a training iteration, IMPALA requests samples from all EnvRunners asynchronously and the collected episodes are returned to the main algorithm process as Ray references rather than actual objects available on the local process. IMPALA then passes these episode references to the Learners for asynchronous updates of the model. - RLlib doesn't always synch back the weights to the EnvRunners right after a new model version is available. + RLlib doesn't always sync back the weights to the EnvRunners right after a new model version is available. To account for the EnvRunners being off-policy, IMPALA uses a procedure called v-trace, `described in the paper `__. IMPALA scales out on both axes, supporting multiple EnvRunners for sample collection and multiple GPU- or CPU-based Learners diff --git a/doc/source/rllib/rllib-examples.rst b/doc/source/rllib/rllib-examples.rst index f5842747d60c..50a894e33b2d 100644 --- a/doc/source/rllib/rllib-examples.rst +++ b/doc/source/rllib/rllib-examples.rst @@ -158,7 +158,7 @@ Curiosity Using curiosity is beneficial in sparse-reward environments where agents may struggle to find rewarding paths. However, count-based methods are only feasible for environments with small observation spaces. -- `Euclidian distance-based curiosity `__: +- `Euclidean distance-based curiosity `__: Uses Euclidean distance between states and the initial state to measure novelty, encouraging exploration by rewarding the agent for reaching "far away" regions of the environment. Suitable for sparse-reward tasks, where diverse exploration is key to success. From 3225629192bd928ce3a18126a6ef12e8b95cdf7a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 25 Aug 2025 10:32:51 -0700 Subject: [PATCH 0834/1566] [llm] disable sglang release test (#55884) sglang installation fails on the image Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index d62589e6f1b9..bfdb10067dd8 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4586,7 +4586,7 @@ pytest -sv test_batch_vllm.py - name: llm_batch_sglang_llama - frequency: nightly + frequency: manual # TODO(ray-llm): fix this test and re-enable it. python: "3.11" group: llm-batch team: llm From 0cc8f2e10bae1aa833ce578e37b8d18acddbdefa Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Mon, 25 Aug 2025 10:33:04 -0700 Subject: [PATCH 0835/1566] [core] Fixing broken links for public docs in error messages (#55823) Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- python/ray/util/client/worker.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/util/client/worker.py b/python/ray/util/client/worker.py index babd60a79012..c5a09c8b51eb 100644 --- a/python/ray/util/client/worker.py +++ b/python/ray/util/client/worker.py @@ -66,9 +66,9 @@ # Links to the Ray Design Pattern doc to use in the task overhead warning # message -DESIGN_PATTERN_FINE_GRAIN_TASKS_LINK = "https://docs.google.com/document/d/167rnnDFIVRhHhK4mznEIemOtj63IOhtIPvSYaPgI4Fg/edit#heading=h.f7ins22n6nyl" # noqa E501 +DESIGN_PATTERN_FINE_GRAIN_TASKS_LINK = "https://docs.ray.io/en/latest/ray-core/patterns/too-fine-grained-tasks.html" # noqa E501 -DESIGN_PATTERN_LARGE_OBJECTS_LINK = "https://docs.google.com/document/d/167rnnDFIVRhHhK4mznEIemOtj63IOhtIPvSYaPgI4Fg/edit#heading=h.1afmymq455wu" # noqa E501 +DESIGN_PATTERN_LARGE_OBJECTS_LINK = "https://docs.ray.io/en/latest/ray-core/patterns/closure-capture-large-objects.html" # noqa E501 def backoff(timeout: int) -> int: From 62cbc591ea0281012b587787c522f517f3254104 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 25 Aug 2025 11:07:22 -0700 Subject: [PATCH 0836/1566] [Data] Fix `UnboundLocalError` when `read_parquet` with columns and no partitioning (#55820) ## Why are these changes needed? If you call `read_parquet` with `partitioning=None` and non-empty `columns`, then Ray Data raises a error because of a missing branch. This PR fixes that issue. ``` Traceback (most recent call last): File "/root/lab42_vr/test.py", line 6, in ds = ray.data.read_parquet(input_s3_path, partitioning=None, columns=columns) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/.venv/lib/python3.12/site-packages/ray/data/read_api.py", line 950, in read_parquet datasource = ParquetDatasource( ^^^^^^^^^^^^^^^^^^ File "/root/.venv/lib/python3.12/site-packages/ray/data/_internal/datasource/parquet_datasource.py", line 262, in __init__ data_columns, partition_columns = _infer_data_and_partition_columns( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/.venv/lib/python3.12/site-packages/ray/data/_internal/datasource/parquet_datasource.py", line 817, in _infer_data_and_partition_columns return data_columns, partition_columns ^^^^^^^^^^^^^^^^^ UnboundLocalError: cannot access local variable 'partition_columns' where it is not associated with a value ``` ## Related issue number Fixes https://github.com/ray-project/ray/issues/55279 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../data/_internal/datasource/parquet_datasource.py | 3 +++ python/ray/data/tests/test_parquet.py | 11 +++++++++++ 2 files changed, 14 insertions(+) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 548f6b6a88dc..44ccbd1e55b2 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -825,4 +825,7 @@ def _infer_data_and_partition_columns( partition_columns = [ column for column in user_specified_columns if column in partitions ] + else: + partition_columns = [] + return data_columns, partition_columns diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index dd43f22e1ee2..bacf2c649941 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -2223,6 +2223,17 @@ def test_parquet_write_parallel_overwrite( assert result.count() == 1000 +def test_read_parquet_with_none_partitioning_and_columns(tmp_path): + # Test for https://github.com/ray-project/ray/issues/55279. + table = pa.table({"column": [42]}) + path = os.path.join(tmp_path, "file.parquet") + pq.write_table(table, path) + + ds = ray.data.read_parquet(path, partitioning=None, columns=["column"]) + + assert ds.take_all() == [{"column": 42}] + + if __name__ == "__main__": import sys From bacdf0d8dc0eeef8433ed9cdb697fbb91cca6c7b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 25 Aug 2025 11:10:16 -0700 Subject: [PATCH 0837/1566] [serve] install httpx for running container runtime env tests (#55869) required in runtime env test. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/runtime_env_container/Dockerfile | 1 + 1 file changed, 1 insertion(+) diff --git a/ci/docker/runtime_env_container/Dockerfile b/ci/docker/runtime_env_container/Dockerfile index 45501d3e0f5a..ad7972761bce 100644 --- a/ci/docker/runtime_env_container/Dockerfile +++ b/ci/docker/runtime_env_container/Dockerfile @@ -4,4 +4,5 @@ FROM $BASE_IMAGE COPY python/ray/tests/runtime_env_container/ /home/ray/tests/ # Install podman +RUN pip install --no-cache-dir -c /home/ray/requirements_compiled.txt httpx RUN sudo apt-get update && sudo apt-get install podman -y From 5ee88f67eb0895e875d655652c12d3f9478190da Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 25 Aug 2025 14:20:47 -0500 Subject: [PATCH 0838/1566] [core] Remove unnecessary `gcs_client` dependency (#55883) Removing more developer productivity sabotage. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/scheduling/BUILD.bazel | 2 +- src/ray/raylet/scheduling/local_resource_manager.cc | 1 + src/ray/raylet/scheduling/local_resource_manager.h | 2 -- src/ray/raylet/scheduling/tests/BUILD.bazel | 1 + 5 files changed, 4 insertions(+), 3 deletions(-) diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index f5305944d209..371381a182bb 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -61,6 +61,7 @@ ray_cc_library( deps = [ "//src/ray/common:id", "//src/ray/common:task_common", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index eef39d32e4e5..b8616a7a4882 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -124,9 +124,9 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:ray_syncer", "//src/ray/common:task_common", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/stats:stats_metric", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest_prod", diff --git a/src/ray/raylet/scheduling/local_resource_manager.cc b/src/ray/raylet/scheduling/local_resource_manager.cc index 68374d60e23e..5ccec894dd4a 100644 --- a/src/ray/raylet/scheduling/local_resource_manager.cc +++ b/src/ray/raylet/scheduling/local_resource_manager.cc @@ -24,6 +24,7 @@ #include "ray/common/grpc_util.h" #include "ray/common/ray_config.h" +#include "ray/stats/metric_defs.h" namespace ray { diff --git a/src/ray/raylet/scheduling/local_resource_manager.h b/src/ray/raylet/scheduling/local_resource_manager.h index 7b78327efc49..72c15ceb6514 100644 --- a/src/ray/raylet/scheduling/local_resource_manager.h +++ b/src/ray/raylet/scheduling/local_resource_manager.h @@ -26,8 +26,6 @@ #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/common/scheduling/fixed_point.h" #include "ray/common/scheduling/resource_set.h" -#include "ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/gcs_client/gcs_client.h" #include "ray/util/logging.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/node_manager.pb.h" diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index 1e3d0cdae67f..de54b3c34d61 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -12,6 +12,7 @@ ray_cc_test( "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/common:test_util", + "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", ], From 4ae7810d39a63c3d74a9f20871ef477aa789886f Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 25 Aug 2025 12:33:18 -0700 Subject: [PATCH 0839/1566] [ci] raydepsets: remove build_arg_sets arg from raydepsets (#55852) - Build arg sets arg is no longer used or needed in the cli - All build arg sets are processed before execution and are included in the names of each depset in the config - Removing unused build arg sets arg from raydepsets - updating unit test Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 4d1037387a07..70d5287ab680 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -41,11 +41,6 @@ def cli(): default=None, help="The name of the dependency set to load. If not specified, all dependency sets will be loaded.", ) -@click.option( - "--build-arg-set", - default=None, - help="The name of the build arg set to use. If not specified, a depset matching the name with no build arg set will be loaded.", -) @click.option( "--uv-cache-dir", default=None, help="The directory to cache uv dependencies" ) @@ -53,7 +48,6 @@ def build( config_path: str, workspace_dir: Optional[str], name: Optional[str], - build_arg_set: Optional[str], uv_cache_dir: Optional[str], ): """ From c386f42cd8c9965922c5aea0a26c01e4b91a9015 Mon Sep 17 00:00:00 2001 From: Carolyn Wang Date: Mon, 25 Aug 2025 13:25:08 -0700 Subject: [PATCH 0840/1566] [observability] Prometheus http service discovery API (#55656) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Adds an http endpoint for prometheus service discovery for metrics targets. Manual testing: Started local prometheus with config ``` global: scrape_interval: 10s # Set the scrape interval to every 10 seconds. Default is every 1 minute. evaluation_interval: 10s # Evaluate rules every 10 seconds. The default is every 1 minute. scrape_configs: - job_name: 'ray' http_sd_configs: - url: 'http://127.0.0.1:8265/api/prometheus/sd' refresh_interval: 60s ``` and local ray cluster with `ray start --head --metrics-export-port=8080`. check api response: ``` % curl http://127.0.0.1:8265/api/prometheus/sd [{"labels": {"job": "ray"}, "targets": ["127.0.0.1:8080", "127.0.0.1:44217", "127.0.0.1:44227"]}] ``` ensure prometheus can scrape for these targets: Screenshot 2025-08-15 at 2 25 34 PM ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: carolynwang Signed-off-by: Douglas Strodtman --- doc/source/cluster/metrics.md | 16 ++++++++++++++ python/ray/_private/metrics_agent.py | 17 +++++++++++--- .../modules/reporter/reporter_head.py | 22 +++++++++++++++++++ python/ray/tests/test_metrics_agent.py | 10 +++++---- 4 files changed, 58 insertions(+), 7 deletions(-) diff --git a/doc/source/cluster/metrics.md b/doc/source/cluster/metrics.md index 7956a74ddcbb..c4ae16abe89e 100644 --- a/doc/source/cluster/metrics.md +++ b/doc/source/cluster/metrics.md @@ -188,6 +188,22 @@ scrape_configs: - '/tmp/ray/prom_metrics_service_discovery.json' ``` +#### HTTP service discovery +Ray also exposes the same list of addresses to scrape over an HTTP endpoint, compatible with [Prometheus HTTP Service Discovery](https://prometheus.io/docs/prometheus/latest/http_sd/). + +Use the following in your Prometheus config to use the HTTP endpoint for service discovery ([HTTP SD docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#http_sd_config)): + +```yaml +scrape_configs: +- job_name: 'ray' + http_sd_configs: + - url: 'http://:/api/prometheus/sd' + refresh_interval: 60s +``` + +- `` is `8265` by default. See [Configuring and Managing Ray Dashboard](https://docs.ray.io/en/latest/cluster/configure-manage-dashboard.html) for more details. +- The endpoint returns a JSON list of targets for Prometheus metrics. When no targets are available, it returns `[]`. + ### Manually discovering metrics endpoints If you know the IP addresses of the nodes in your Ray Cluster, you can configure Prometheus to read metrics from a static list of endpoints. diff --git a/python/ray/_private/metrics_agent.py b/python/ray/_private/metrics_agent.py index 1de034dfd49c..6116687e391a 100644 --- a/python/ray/_private/metrics_agent.py +++ b/python/ray/_private/metrics_agent.py @@ -775,8 +775,18 @@ def __init__(self, gcs_address, temp_dir): ray._private.state.state._initialize_global_state(gcs_client_options) self.temp_dir = temp_dir self.default_service_discovery_flush_period = 5 + + # The last service discovery content that PrometheusServiceDiscoveryWriter has seen + self.latest_service_discovery_content = [] + self._content_lock = threading.RLock() + super().__init__() + def get_latest_service_discovery_content(self): + """Return the latest stored service discovery content.""" + with self._content_lock: + return self.latest_service_discovery_content + def get_file_discovery_content(self): """Return the content for Prometheus service discovery.""" nodes = ray.nodes() @@ -792,9 +802,10 @@ def get_file_discovery_content(self): dashboard_addr = gcs_client.internal_kv_get(b"DashboardMetricsAddress", None) if dashboard_addr: metrics_export_addresses.append(dashboard_addr.decode("utf-8")) - return json.dumps( - [{"labels": {"job": "ray"}, "targets": metrics_export_addresses}] - ) + content = [{"labels": {"job": "ray"}, "targets": metrics_export_addresses}] + with self._content_lock: + self.latest_service_discovery_content = content + return json.dumps(content) def write(self): # Write a file based on https://prometheus.io/docs/guides/file-sd/ diff --git a/python/ray/dashboard/modules/reporter/reporter_head.py b/python/ray/dashboard/modules/reporter/reporter_head.py index d8e76b25bb07..7ec0f59be092 100644 --- a/python/ray/dashboard/modules/reporter/reporter_head.py +++ b/python/ray/dashboard/modules/reporter/reporter_head.py @@ -785,6 +785,28 @@ async def kill_actor_gcs(self, req: aiohttp.web.Request) -> aiohttp.web.Response status_code=status_code, message=message ) + @routes.get("/api/prometheus/sd") + async def prometheus_service_discovery(self, req) -> aiohttp.web.Response: + """ + Expose Prometheus metrics targets through HTTP Service Discovery. + """ + content = self.service_discovery.get_latest_service_discovery_content() + if not isinstance(content, list): + error_message = "service discovery error: content is not a list" + logger.warning(error_message) + return aiohttp.web.json_response( + {"error": error_message}, + status=dashboard_utils.HTTPStatusCode.INTERNAL_ERROR, + headers={"Cache-Control": "no-store"}, + ) + return aiohttp.web.Response( + text=json.dumps(content), + content_type="application/json", + charset="utf-8", + status=dashboard_utils.HTTPStatusCode.OK, + headers={"Cache-Control": "no-store"}, + ) + async def _get_stub_address_by_node_id( self, node_id: NodeID ) -> Optional[Tuple[NodeID, str, int, int]]: diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 9f5fbc059431..9767ba79091d 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -971,9 +971,10 @@ def get_metrics_export_address_from_node(nodes): ) return node_export_addrs + [autoscaler_export_addr, dashboard_export_addr] - loaded_json_data = json.loads(writer.get_file_discovery_content())[0] + loaded_json_data = json.loads(writer.get_file_discovery_content()) + assert loaded_json_data == writer.get_latest_service_discovery_content() assert set(get_metrics_export_address_from_node(nodes)) == set( - loaded_json_data["targets"] + loaded_json_data[0]["targets"] ) # Let's update nodes. @@ -981,9 +982,10 @@ def get_metrics_export_address_from_node(nodes): nodes.append(cluster.add_node()) # Make sure service discovery file content is correctly updated. - loaded_json_data = json.loads(writer.get_file_discovery_content())[0] + loaded_json_data = json.loads(writer.get_file_discovery_content()) + assert loaded_json_data == writer.get_latest_service_discovery_content() assert set(get_metrics_export_address_from_node(nodes)) == set( - loaded_json_data["targets"] + loaded_json_data[0]["targets"] ) From c0f34587c22fc7a78790ab021b55a78f68e9e058 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 25 Aug 2025 13:36:21 -0700 Subject: [PATCH 0841/1566] [serve] remove regular checkpointing (#55848) ## Why are these changes needed? In https://github.com/ray-project/ray/pull/49168, support was added for bulk deploys. To support performant bulk deploys, checkpointing was added into the regular control loop (so that we wouldn't checkpoint for every application + deployment that was deployed, which is expensive). However this will cause the KV store memory to grow over time. Instead, we should only checkpoint when it is **confirmed** that target state has changed. --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 69 +++++++++++++++---- python/ray/serve/_private/controller.py | 7 -- python/ray/serve/_private/deployment_state.py | 38 ++++++---- .../tests/unit/test_application_state.py | 2 +- .../serve/tests/unit/test_deployment_state.py | 16 +++-- 5 files changed, 91 insertions(+), 41 deletions(-) diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 41108f62edd4..21123b9be039 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -400,10 +400,18 @@ def _clear_target_state_and_store_config( deleting=False, ) - def _delete_deployment(self, name): + def _delete_deployment(self, name: str) -> bool: + """Delete a deployment in the application. + + Args: + name: The name of the deployment to delete. + + Returns: + Whether the target state has changed. + """ id = DeploymentID(name=name, app_name=self._name) self._endpoint_state.delete_endpoint(id) - self._deployment_state_manager.delete_deployment(id) + return self._deployment_state_manager.delete_deployment(id) def delete(self): """Delete the application""" @@ -426,8 +434,16 @@ def apply_deployment_info( self, deployment_name: str, deployment_info: DeploymentInfo, - ) -> None: - """Deploys a deployment in the application.""" + ) -> bool: + """Deploys a deployment in the application. + + Args: + deployment_name: The name of the deployment to apply. + deployment_info: The deployment info to apply. + + Returns: + Whether the target state has changed. + """ route_prefix = deployment_info.route_prefix if route_prefix is not None and not route_prefix.startswith("/"): raise RayServeException( @@ -436,7 +452,9 @@ def apply_deployment_info( deployment_id = DeploymentID(name=deployment_name, app_name=self._name) - self._deployment_state_manager.deploy(deployment_id, deployment_info) + target_state_changed = self._deployment_state_manager.deploy( + deployment_id, deployment_info + ) if deployment_info.route_prefix is not None: config = deployment_info.deployment_config @@ -457,6 +475,8 @@ def apply_deployment_info( else: self._endpoint_state.delete_endpoint(deployment_id) + return target_state_changed + def deploy_app(self, deployment_infos: Dict[str, DeploymentInfo]): """(Re-)deploy the application from list of deployment infos. @@ -761,6 +781,7 @@ def _reconcile_target_deployments(self) -> None: Ensure each deployment is running on up-to-date info, and remove outdated deployments from the application. """ + target_state_changed = False # Set target state for each deployment for deployment_name, info in self._target_state.deployment_infos.items(): @@ -784,26 +805,34 @@ def _reconcile_target_deployments(self) -> None: deploy_info.deployment_config.logging_config = ( self._target_state.config.logging_config ) - self.apply_deployment_info(deployment_name, deploy_info) + target_state_changed = ( + self.apply_deployment_info(deployment_name, deploy_info) + or target_state_changed + ) # Delete outdated deployments for deployment_name in self._get_live_deployments(): if deployment_name not in self.target_deployments: - self._delete_deployment(deployment_name) + target_state_changed = ( + self._delete_deployment(deployment_name) or target_state_changed + ) - def update(self) -> bool: + return target_state_changed + + def update(self) -> Tuple[bool, bool]: """Attempts to reconcile this application to match its target state. Updates the application status and status message based on the current state of the system. Returns: - A boolean indicating whether the application is ready to be - deleted. + Whether the target state has changed. """ infos, task_status, msg = self._reconcile_build_app_task() + target_state_changed = False if task_status == BuildAppStatus.SUCCEEDED: + target_state_changed = True self._set_target_state( deployment_infos=infos, code_version=self._build_app_task_info.code_version, @@ -821,14 +850,16 @@ def update(self) -> bool: # it's not finished, we don't know what the target list of deployments # is, so we don't perform any reconciliation. if self._target_state.deployment_infos is not None: - self._reconcile_target_deployments() + target_state_changed = ( + self._reconcile_target_deployments() or target_state_changed + ) status, status_msg = self._determine_app_status() self._update_status(status, status_msg) # Check if app is ready to be deleted if self._target_state.deleting: - return self.is_deleted() - return False + return self.is_deleted(), target_state_changed + return False, target_state_changed def get_checkpoint_data(self) -> ApplicationTargetState: return self._target_state @@ -1087,10 +1118,14 @@ def list_deployment_details(self, name: str) -> Dict[str, DeploymentDetails]: return self._application_states[name].list_deployment_details() def update(self): - """Update each application state""" + """Update each application state.""" apps_to_be_deleted = [] + any_target_state_changed = False for name, app in self._application_states.items(): - ready_to_be_deleted = app.update() + ready_to_be_deleted, app_target_state_changed = app.update() + any_target_state_changed = ( + any_target_state_changed or app_target_state_changed + ) if ready_to_be_deleted: apps_to_be_deleted.append(name) logger.debug(f"Application '{name}' deleted successfully.") @@ -1100,6 +1135,10 @@ def update(self): del self._application_states[app_name] ServeUsageTag.NUM_APPS.record(str(len(self._application_states))) + if any_target_state_changed: + self.save_checkpoint() + self._deployment_state_manager.save_checkpoint() + def shutdown(self) -> None: self._shutting_down = True diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index cc0724f20565..3caad988f715 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -442,8 +442,6 @@ async def run_control_loop_step( dsm_update_start_time = time.time() any_recovering = self.deployment_state_manager.update() - self.deployment_state_manager.save_checkpoint() - self.dsm_update_duration_gauge_s.set(time.time() - dsm_update_start_time) if not self.done_recovering_event.is_set() and not any_recovering: self.done_recovering_event.set() @@ -461,11 +459,6 @@ async def run_control_loop_step( asm_update_start_time = time.time() self.application_state_manager.update() - self.application_state_manager.save_checkpoint() - # ApplicationStateManager.update() can also mutate the - # DeploymentStateManager so we need to checkpoint that as well - self.deployment_state_manager.save_checkpoint() - self.asm_update_duration_gauge_s.set(time.time() - asm_update_start_time) except Exception: logger.exception("Exception updating application state.") diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 8a33bc5eedc9..87b1ee46502d 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -1994,7 +1994,7 @@ def deploy(self, deployment_info: DeploymentInfo) -> bool: this method returns False. Returns: - bool: Whether or not the deployment is being updated. + bool: Whether the target state has changed. """ curr_deployment_info = self._target_state.info @@ -2078,10 +2078,14 @@ def deploy(self, deployment_info: DeploymentInfo) -> bool: return True def autoscale(self) -> int: - """Autoscale the deployment based on metrics.""" + """Autoscale the deployment based on metrics. + + Returns: + Whether the target state has changed. + """ if self._target_state.deleting: - return + return False decision_num_replicas = self._autoscaling_state_manager.get_target_num_replicas( deployment_id=self._id, @@ -2092,7 +2096,7 @@ def autoscale(self) -> int: decision_num_replicas is None or decision_num_replicas == self._target_state.target_num_replicas ): - return + return False new_info = copy(self._target_state.info) new_info.version = self._target_state.version.code_version @@ -2108,7 +2112,7 @@ def autoscale(self) -> int: states=[ReplicaState.RUNNING], version=self._target_state.version ), ): - return + return True curr_stats_str = ( f"Current ongoing requests: " @@ -2135,10 +2139,14 @@ def autoscale(self) -> int: trigger=DeploymentStatusInternalTrigger.AUTOSCALE_DOWN, message=f"Downscaling from {old_num} to {new_num} replicas.", ) + return True - def delete(self) -> None: + def delete(self) -> bool: if not self._target_state.deleting: self._set_target_state_deleting() + return True + + return False def _stop_or_update_outdated_version_replicas(self, max_to_stop=math.inf) -> bool: """Stop or update replicas with outdated versions. @@ -3068,7 +3076,7 @@ def deploy( this is a no-op and returns False. Returns: - bool: Whether or not the deployment is being updated. + bool: Whether the target state has changed. """ if deployment_id not in self._deployment_states: self._deployment_states[deployment_id] = self._create_deployment_state( @@ -3087,7 +3095,9 @@ def delete_deployment(self, id: DeploymentID): # This method must be idempotent. We should validate that the # specified deployment exists on the client. if id in self._deployment_states: - self._deployment_states[id].delete() + return self._deployment_states[id].delete() + + return False def update(self) -> bool: """Updates the state of all deployments to match their goal state. @@ -3099,11 +3109,14 @@ def update(self) -> bool: any_recovering = False upscales: Dict[DeploymentID, List[ReplicaSchedulingRequest]] = {} downscales: Dict[DeploymentID, DeploymentDownscaleRequest] = {} + target_state_changed = False # STEP 1: Update current state for deployment_state in self._deployment_states.values(): if deployment_state.should_autoscale(): - deployment_state.autoscale() + target_state_changed = ( + deployment_state.autoscale() or target_state_changed + ) deployment_state.check_and_update_replicas() @@ -3155,10 +3168,6 @@ def update(self) -> bool: deleted_ids.append(deployment_id) any_recovering |= any_replicas_recovering - # Take a checkpoint before actually affecting the state of the cluster - # by starting/stopping replicas. - self.save_checkpoint() - # STEP 6: Schedule all STARTING replicas and stop all STOPPING replicas deployment_to_replicas_to_stop = self._deployment_scheduler.schedule( upscales, downscales @@ -3198,6 +3207,9 @@ def update(self) -> bool: if len(deleted_ids): self._record_deployment_usage() + if target_state_changed: + self.save_checkpoint() + return any_recovering def _handle_scheduling_request_failures( diff --git a/python/ray/serve/tests/unit/test_application_state.py b/python/ray/serve/tests/unit/test_application_state.py index 1147e3c04f23..4fb9a47b373c 100644 --- a/python/ray/serve/tests/unit/test_application_state.py +++ b/python/ray/serve/tests/unit/test_application_state.py @@ -551,7 +551,7 @@ def test_deploy_and_delete_app(mocked_application_state): app_state.update() deployment_state_manager.set_deployment_deleted(d1_id) - ready_to_be_deleted = app_state.update() + ready_to_be_deleted, _ = app_state.update() assert not ready_to_be_deleted assert app_state.status == ApplicationStatus.DELETING diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index 553a12bff588..ad093c08ab3d 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -2388,7 +2388,9 @@ def test_recover_state_from_replica_names(mock_deployment_state_manager): # Deploy deployment with version "1" and one replica info1, v1 = deployment_info(version="1") - assert dsm.deploy(TEST_DEPLOYMENT_ID, info1) + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info1) + assert target_state_changed + dsm.save_checkpoint() ds = dsm._deployment_states[TEST_DEPLOYMENT_ID] # Single replica of version `version1` should be created and in STARTING state @@ -2437,7 +2439,9 @@ def test_recover_during_rolling_update(mock_deployment_state_manager): # Step 1: Create some deployment info with actors in running state info1, v1 = deployment_info(version="1") - assert dsm.deploy(TEST_DEPLOYMENT_ID, info1) + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info1) + assert target_state_changed + dsm.save_checkpoint() ds = dsm._deployment_states[TEST_DEPLOYMENT_ID] # Single replica of version `version1` should be created and in STARTING state @@ -2452,8 +2456,8 @@ def test_recover_during_rolling_update(mock_deployment_state_manager): # Now execute a rollout: upgrade the version to "2". info2, v2 = deployment_info(version="2") - assert dsm.deploy(TEST_DEPLOYMENT_ID, info2) - + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info2) + assert target_state_changed # In real code this checkpoint would be done by the caller of .deploy() dsm.save_checkpoint() @@ -2518,7 +2522,9 @@ def test_actor_died_before_recover(mock_deployment_state_manager): # Create some deployment info with actors in running state info1, v1 = deployment_info(version="1") - assert dsm.deploy(TEST_DEPLOYMENT_ID, info1) + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info1) + assert target_state_changed + dsm.save_checkpoint() ds = dsm._deployment_states[TEST_DEPLOYMENT_ID] # Single replica of version `version1` should be created and in STARTING state From 5b6e76cc26feb27e24ce01ac0ffad9132f808f88 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 25 Aug 2025 13:36:34 -0700 Subject: [PATCH 0842/1566] Add perf metrics for 2.49.0 (#55815) ``` REGRESSION 35.18%: client__put_gigabytes (THROUGHPUT) regresses from 0.1559990403715773 to 0.1011154460629056 in microbenchmark.json REGRESSION 19.86%: actors_per_second (THROUGHPUT) regresses from 657.1702061376596 to 526.6643292032776 in benchmarks/many_actors.json REGRESSION 11.54%: client__get_calls (THROUGHPUT) regresses from 1159.3513798913632 to 1025.614536261544 in microbenchmark.json REGRESSION 10.21%: 1_1_actor_calls_concurrent (THROUGHPUT) regresses from 5775.020315522301 to 5185.592351945926 in microbenchmark.json REGRESSION 7.22%: single_client_tasks_and_get_batch (THROUGHPUT) regresses from 5.800654754787365 to 5.381854147597904 in microbenchmark.json REGRESSION 6.72%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14560.030073574557 to 13581.806864962535 in microbenchmark.json REGRESSION 5.84%: multi_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 16526.35985553258 to 15560.620089508539 in microbenchmark.json REGRESSION 5.76%: single_client_put_gigabytes (THROUGHPUT) regresses from 19.85639156989914 to 18.71278038275444 in microbenchmark.json REGRESSION 4.78%: tasks_per_second (THROUGHPUT) regresses from 364.43726497335643 to 347.0074587793457 in benchmarks/many_tasks.json REGRESSION 4.71%: single_client_get_calls_Plasma_Store (THROUGHPUT) regresses from 10620.405550394937 to 10119.7301338237 in microbenchmark.json REGRESSION 3.55%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8038.166251679982 to 7753.148948018643 in microbenchmark.json REGRESSION 3.54%: single_client_tasks_sync (THROUGHPUT) regresses from 980.7121217208985 to 946.027654634476 in microbenchmark.json REGRESSION 3.41%: n_n_actor_calls_async (THROUGHPUT) regresses from 27375.624367126635 to 26441.297568592032 in microbenchmark.json REGRESSION 3.24%: 1_1_actor_calls_async (THROUGHPUT) regresses from 8663.654839458402 to 8382.98999101571 in microbenchmark.json REGRESSION 3.15%: pgs_per_second (THROUGHPUT) regresses from 13.215254403739163 to 12.799625675009633 in benchmarks/many_pgs.json REGRESSION 2.50%: single_client_wait_1k_refs (THROUGHPUT) regresses from 5.079952667320649 to 4.952999927332959 in microbenchmark.json REGRESSION 2.00%: n_n_actor_calls_with_arg_async (THROUGHPUT) regresses from 2759.3212097473174 to 2704.110675027102 in microbenchmark.json REGRESSION 1.84%: multi_client_put_gigabytes (THROUGHPUT) regresses from 38.137310138893675 to 37.43614465888436 in microbenchmark.json REGRESSION 1.35%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1459.7289131365046 to 1440.0280310845594 in microbenchmark.json REGRESSION 1.13%: placement_group_create/removal (THROUGHPUT) regresses from 764.5677165695956 to 755.9481741578835 in microbenchmark.json REGRESSION 1.11%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23674.50106467489 to 23412.17782093146 in microbenchmark.json REGRESSION 1.02%: single_client_tasks_async (THROUGHPUT) regresses from 8040.530786886751 to 7958.403181954658 in microbenchmark.json REGRESSION 0.79%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 13.371722002108683 to 13.265651211414822 in microbenchmark.json REGRESSION 37.92%: dashboard_p50_latency_ms (LATENCY) regresses from 5.277 to 7.278 in benchmarks/many_tasks.json REGRESSION 35.95%: dashboard_p99_latency_ms (LATENCY) regresses from 2572.496 to 3497.265 in benchmarks/many_actors.json REGRESSION 34.32%: dashboard_p95_latency_ms (LATENCY) regresses from 7.454 to 10.012 in benchmarks/many_pgs.json REGRESSION 29.32%: dashboard_p95_latency_ms (LATENCY) regresses from 2197.485 to 2841.741 in benchmarks/many_actors.json REGRESSION 22.60%: dashboard_p50_latency_ms (LATENCY) regresses from 5.204 to 6.38 in benchmarks/many_nodes.json REGRESSION 10.19%: dashboard_p95_latency_ms (LATENCY) regresses from 492.608 to 542.827 in benchmarks/many_tasks.json REGRESSION 10.10%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2057934429429915 to 1.3276310030028873 in stress_tests/stress_test_placement_group.json REGRESSION 9.71%: stage_3_creation_time (LATENCY) regresses from 1.8526091575622559 to 2.032559394836426 in stress_tests/stress_test_many_tasks.json REGRESSION 8.77%: dashboard_p50_latency_ms (LATENCY) regresses from 4.194 to 4.562 in benchmarks/many_pgs.json REGRESSION 6.57%: avg_pg_create_time_ms (LATENCY) regresses from 1.4493968768766456 to 1.544663453452921 in stress_tests/stress_test_placement_group.json REGRESSION 3.77%: 10000_get_time (LATENCY) regresses from 23.075941746000012 to 23.946038821000002 in scalability/single_node.json REGRESSION 3.39%: dashboard_p50_latency_ms (LATENCY) regresses from 9.35 to 9.667 in benchmarks/many_actors.json REGRESSION 2.28%: stage_1_avg_iteration_time (LATENCY) regresses from 12.96969530582428 to 13.265494346618652 in stress_tests/stress_test_many_tasks.json REGRESSION 1.74%: 10000_args_time (LATENCY) regresses from 18.84486551900001 to 19.17184469900002 in scalability/single_node.json REGRESSION 0.57%: stage_2_avg_iteration_time (LATENCY) regresses from 33.957920932769774 to 34.152964401245114 in stress_tests/stress_test_many_tasks.json REGRESSION 0.38%: avg_iteration_time (LATENCY) regresses from 1.1874613547325135 to 1.1919621157646179 in stress_tests/stress_test_dead_actors.json ``` Signed-off-by: elliot-barn Co-authored-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../perf_metrics/benchmarks/many_actors.json | 18 +- .../perf_metrics/benchmarks/many_nodes.json | 18 +- release/perf_metrics/benchmarks/many_pgs.json | 18 +- .../perf_metrics/benchmarks/many_tasks.json | 18 +- release/perf_metrics/metadata.json | 2 +- release/perf_metrics/microbenchmark.json | 186 +++++++++--------- .../scalability/object_store.json | 4 +- .../perf_metrics/scalability/single_node.json | 20 +- .../stress_tests/stress_test_dead_actors.json | 10 +- .../stress_tests/stress_test_many_tasks.json | 36 ++-- .../stress_test_placement_group.json | 8 +- 11 files changed, 169 insertions(+), 169 deletions(-) diff --git a/release/perf_metrics/benchmarks/many_actors.json b/release/perf_metrics/benchmarks/many_actors.json index 3887e4d4e6fb..cae597479e54 100644 --- a/release/perf_metrics/benchmarks/many_actors.json +++ b/release/perf_metrics/benchmarks/many_actors.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 110.235648, + "_dashboard_memory_usage_mb": 102.928384, "_dashboard_test_success": true, - "_peak_memory": 4.85, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n1129\t7.16GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3533\t2.04GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4961\t1.06GiB\tpython distributed/test_many_actors.py\n3034\t0.46GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3734\t0.32GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n585\t0.2GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3649\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4254\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3001\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4256\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", - "actors_per_second": 657.1702061376596, + "_peak_memory": 4.56, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n1147\t7.55GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3549\t2.03GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4987\t0.83GiB\tpython distributed/test_many_actors.py\n3056\t0.39GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3751\t0.27GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n584\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4235\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3664\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2979\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4237\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "actors_per_second": 526.6643292032776, "num_actors": 10000, "perf_metrics": [ { "perf_metric_name": "actors_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 657.1702061376596 + "perf_metric_value": 526.6643292032776 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 9.35 + "perf_metric_value": 9.667 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 2197.485 + "perf_metric_value": 2841.741 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 2572.496 + "perf_metric_value": 3497.265 } ], "success": "1", - "time": 15.216758012771606 + "time": 18.987426042556763 } diff --git a/release/perf_metrics/benchmarks/many_nodes.json b/release/perf_metrics/benchmarks/many_nodes.json index 5359354d5066..0b2e8ccb2f6a 100644 --- a/release/perf_metrics/benchmarks/many_nodes.json +++ b/release/perf_metrics/benchmarks/many_nodes.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 96.54272, + "_dashboard_memory_usage_mb": 95.510528, "_dashboard_test_success": true, - "_peak_memory": 2.26, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3357\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2796\t0.28GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5171\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3555\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1083\t0.13GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4094\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n2769\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5398\t0.09GiB\tray::StateAPIGeneratorActor.start\n3473\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4096\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "_peak_memory": 2.29, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3521\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3063\t0.26GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n1069\t0.19GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n5012\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3719\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n4200\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3637\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3019\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5257\t0.09GiB\tray::StateAPIGeneratorActor.start\n4202\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", "num_tasks": 1000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 191.95909855877267 + "perf_metric_value": 210.13682904062856 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 5.204 + "perf_metric_value": 6.38 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 13.297 + "perf_metric_value": 13.055 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 54.703 + "perf_metric_value": 38.335 } ], "success": "1", - "tasks_per_second": 191.95909855877267, - "time": 305.2094430923462, + "tasks_per_second": 210.13682904062856, + "time": 304.7588040828705, "used_cpus": 250.0 } diff --git a/release/perf_metrics/benchmarks/many_pgs.json b/release/perf_metrics/benchmarks/many_pgs.json index d6c4288e5a3d..66b733a787ba 100644 --- a/release/perf_metrics/benchmarks/many_pgs.json +++ b/release/perf_metrics/benchmarks/many_pgs.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 93.515776, + "_dashboard_memory_usage_mb": 90.968064, "_dashboard_test_success": true, - "_peak_memory": 2.69, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n1130\t7.9GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3522\t0.91GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4967\t0.36GiB\tpython distributed/test_many_pgs.py\n2980\t0.32GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n580\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4243\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3724\t0.09GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2794\t0.09GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n3106\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3642\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash", + "_peak_memory": 2.88, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n1111\t8.31GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3486\t0.98GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2906\t0.4GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5166\t0.39GiB\tpython distributed/test_many_pgs.py\n581\t0.18GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3690\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2765\t0.11GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n4176\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3039\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4178\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", "num_pgs": 1000, "perf_metrics": [ { "perf_metric_name": "pgs_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 13.215254403739163 + "perf_metric_value": 12.799625675009633 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 4.194 + "perf_metric_value": 4.562 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 7.454 + "perf_metric_value": 10.012 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 219.05 + "perf_metric_value": 186.207 } ], - "pgs_per_second": 13.215254403739163, + "pgs_per_second": 12.799625675009633, "success": "1", - "time": 75.67012858390808 + "time": 78.12728476524353 } diff --git a/release/perf_metrics/benchmarks/many_tasks.json b/release/perf_metrics/benchmarks/many_tasks.json index 0a045a0a839e..b16a12b02b26 100644 --- a/release/perf_metrics/benchmarks/many_tasks.json +++ b/release/perf_metrics/benchmarks/many_tasks.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 95.08864, + "_dashboard_memory_usage_mb": 104.685568, "_dashboard_test_success": true, - "_peak_memory": 3.91, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3526\t1.07GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5070\t0.75GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3724\t0.45GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3054\t0.29GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3727\t0.2GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n1120\t0.12GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4243\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3642\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3021\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5380\t0.09GiB\tray::StateAPIGeneratorActor.start", + "_peak_memory": 3.96, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3526\t1.11GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n8718\t0.76GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3726\t0.45GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3040\t0.28GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3729\t0.15GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n1122\t0.12GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4209\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3641\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2964\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n9009\t0.09GiB\tray::StateAPIGeneratorActor.start", "num_tasks": 10000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 364.43726497335643 + "perf_metric_value": 347.0074587793457 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 5.277 + "perf_metric_value": 7.278 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 492.608 + "perf_metric_value": 542.827 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 787.075 + "perf_metric_value": 736.395 } ], "success": "1", - "tasks_per_second": 364.43726497335643, - "time": 327.4395649433136, + "tasks_per_second": 347.0074587793457, + "time": 328.8178243637085, "used_cpus": 2500.0 } diff --git a/release/perf_metrics/metadata.json b/release/perf_metrics/metadata.json index f185fe20125d..aa69a1c1e5cc 100644 --- a/release/perf_metrics/metadata.json +++ b/release/perf_metrics/metadata.json @@ -1 +1 @@ -{"release_version": "2.48.0"} +{"release_version": "2.49.0"} diff --git a/release/perf_metrics/microbenchmark.json b/release/perf_metrics/microbenchmark.json index abd2e5ee7bcb..a58f3baee28e 100644 --- a/release/perf_metrics/microbenchmark.json +++ b/release/perf_metrics/microbenchmark.json @@ -1,283 +1,283 @@ { "1_1_actor_calls_async": [ - 8663.654839458402, - 182.98906836658583 + 8382.98999101571, + 117.79830230521418 ], "1_1_actor_calls_concurrent": [ - 5775.020315522301, - 166.03207664123752 + 5185.592351945926, + 90.30753238314676 ], "1_1_actor_calls_sync": [ - 2011.916260420167, - 34.20258828426277 + 2091.781722688228, + 16.9518585087781 ], "1_1_async_actor_calls_async": [ - 4259.771844696956, - 244.58821485834815 + 4261.744798110754, + 180.0414155637879 ], "1_1_async_actor_calls_sync": [ - 1459.7289131365046, - 14.372300668103277 + 1440.0280310845594, + 32.16094111992805 ], "1_1_async_actor_calls_with_args_async": [ - 2836.298297310687, - 165.56556787435736 + 2842.6446804977995, + 86.87223380532768 ], "1_n_actor_calls_async": [ - 8038.166251679982, - 223.66382715772104 + 7753.148948018643, + 157.64457409741257 ], "1_n_async_actor_calls_async": [ - 7382.681881276498, - 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b/release/perf_metrics/scalability/single_node.json index bc2cd08fe8df..be655d551555 100644 --- a/release/perf_metrics/scalability/single_node.json +++ b/release/perf_metrics/scalability/single_node.json @@ -1,8 +1,8 @@ { - "args_time": 18.84486551900001, - "get_time": 23.075941746000012, + "args_time": 19.17184469900002, + "get_time": 23.946038821000002, "large_object_size": 107374182400, - "large_object_time": 32.03462247800002, + "large_object_time": 31.283377702999985, "num_args": 10000, "num_get_args": 10000, "num_queued": 1000000, @@ -11,30 +11,30 @@ { "perf_metric_name": "10000_args_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 18.84486551900001 + "perf_metric_value": 19.17184469900002 }, { "perf_metric_name": "3000_returns_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 6.088559257 + "perf_metric_value": 5.863585175999987 }, { "perf_metric_name": "10000_get_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 23.075941746000012 + "perf_metric_value": 23.946038821000002 }, { "perf_metric_name": "1000000_queued_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 199.176572467 + "perf_metric_value": 190.35062810999997 }, { "perf_metric_name": "107374182400_large_object_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 32.03462247800002 + "perf_metric_value": 31.283377702999985 } ], - "queued_time": 199.176572467, - "returns_time": 6.088559257, + "queued_time": 190.35062810999997, + "returns_time": 5.863585175999987, "success": "1" } diff --git a/release/perf_metrics/stress_tests/stress_test_dead_actors.json b/release/perf_metrics/stress_tests/stress_test_dead_actors.json index 7daf8903fe7f..98efeb61e846 100644 --- a/release/perf_metrics/stress_tests/stress_test_dead_actors.json +++ b/release/perf_metrics/stress_tests/stress_test_dead_actors.json @@ -1,14 +1,14 @@ { - "avg_iteration_time": 1.1874613547325135, - "max_iteration_time": 3.250436544418335, - "min_iteration_time": 0.05550789833068848, + "avg_iteration_time": 1.1919621157646179, + "max_iteration_time": 3.34515118598938, + "min_iteration_time": 0.6364881992340088, "perf_metrics": [ { "perf_metric_name": "avg_iteration_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.1874613547325135 + "perf_metric_value": 1.1919621157646179 } ], "success": 1, - "total_time": 118.7462546825409 + "total_time": 119.196359872818 } diff --git a/release/perf_metrics/stress_tests/stress_test_many_tasks.json b/release/perf_metrics/stress_tests/stress_test_many_tasks.json index accdf6d571e9..1951e0e15b5e 100644 --- a/release/perf_metrics/stress_tests/stress_test_many_tasks.json +++ b/release/perf_metrics/stress_tests/stress_test_many_tasks.json @@ -3,45 +3,45 @@ { "perf_metric_name": "stage_0_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 7.344109535217285 + "perf_metric_value": 6.86789870262146 }, { "perf_metric_name": "stage_1_avg_iteration_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 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"stage_2_max_iteration_time": 34.32049250602722, - "stage_2_min_iteration_time": 33.68821382522583, - "stage_2_time": 169.79015111923218, - "stage_3_creation_time": 1.8526091575622559, - "stage_3_time": 1826.5975222587585, - "stage_4_spread": 0.48570817077228695, + "stage_0_time": 6.86789870262146, + "stage_1_avg_iteration_time": 13.265494346618652, + "stage_1_max_iteration_time": 13.843246221542358, + "stage_1_min_iteration_time": 11.710993766784668, + "stage_1_time": 132.65499782562256, + "stage_2_avg_iteration_time": 34.152964401245114, + "stage_2_max_iteration_time": 34.738978147506714, + "stage_2_min_iteration_time": 33.831342458724976, + "stage_2_time": 170.76539039611816, + "stage_3_creation_time": 2.032559394836426, + "stage_3_time": 1814.6457602977753, + "stage_4_spread": 0.4687484200099014, "success": 1 } diff --git a/release/perf_metrics/stress_tests/stress_test_placement_group.json b/release/perf_metrics/stress_tests/stress_test_placement_group.json index 2ef542254e31..49a763bceb42 100644 --- a/release/perf_metrics/stress_tests/stress_test_placement_group.json +++ b/release/perf_metrics/stress_tests/stress_test_placement_group.json @@ -1,16 +1,16 @@ { - "avg_pg_create_time_ms": 1.4493968768766456, - "avg_pg_remove_time_ms": 1.2057934429429915, + "avg_pg_create_time_ms": 1.544663453452921, + "avg_pg_remove_time_ms": 1.3276310030028873, "perf_metrics": [ { "perf_metric_name": "avg_pg_create_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.4493968768766456 + "perf_metric_value": 1.544663453452921 }, { "perf_metric_name": "avg_pg_remove_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.2057934429429915 + "perf_metric_value": 1.3276310030028873 } ], "success": 1 From e872664da394f6c0c765f5b084cfaec0b9d2b18e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 25 Aug 2025 13:38:15 -0700 Subject: [PATCH 0843/1566] [image] add slim image to the image build matrix (#55723) slim image is a smaller image than normal ray image. it has fewer packages installed, and does not contain the cuda dev sdk. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 45 ++++++++ ci/docker/ray-slim.cpu.base.wanda.yaml | 10 ++ ci/docker/ray-slim.cuda.base.wanda.yaml | 10 ++ docker/base-slim/Dockerfile | 146 ++++++++++++++++++++++++ 4 files changed, 211 insertions(+) create mode 100644 ci/docker/ray-slim.cpu.base.wanda.yaml create mode 100644 ci/docker/ray-slim.cuda.base.wanda.yaml create mode 100644 docker/base-slim/Dockerfile diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index e74f90edf048..97acc658cc5a 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -1,4 +1,5 @@ group: forge +sort_key: "_forge" steps: - name: forge wanda: ci/docker/forge.wanda.yaml @@ -184,3 +185,47 @@ steps: IMAGE_TYPE: "ray-ml" ARCH_SUFFIX: "" depends_on: ray-mlcpubase + + - name: ray-slimcpubase + label: "wanda: ray-slim.py{{matrix}}.cpu.base" + tags: + - python_dependencies + - docker + wanda: ci/docker/ray-slim.cpu.base.wanda.yaml + depends_on: raycpubase + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "" + + - name: ray-slimcudabase + label: "wanda: ray-slim.py{{matrix.python}}.cu{{matrix.cuda}}.base" + tags: + - python_dependencies + - docker + wanda: ci/docker/ray-slim.cuda.base.wanda.yaml + depends_on: raycudabase + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1" + - "11.8.0" + - "12.1.1" + - "12.3.2" + - "12.4.1" + - "12.5.1" + - "12.6.3" + - "12.8.1" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + ARCH_SUFFIX: "" diff --git a/ci/docker/ray-slim.cpu.base.wanda.yaml b/ci/docker/ray-slim.cpu.base.wanda.yaml new file mode 100644 index 000000000000..b6d80f13992a --- /dev/null +++ b/ci/docker/ray-slim.cpu.base.wanda.yaml @@ -0,0 +1,10 @@ +name: "ray-slim.py$PYTHON_VERSION.cpu.base$ARCH_SUFFIX" +froms: ["ubuntu:22.04"] +dockerfile: docker/base-slim/Dockerfile +srcs: + - python/requirements_compiled.txt +build_args: + - PYTHON_VERSION + - BASE_IMAGE=ubuntu:22.04 +tags: + - cr.ray.io/rayproject/ray-slim.py$PYTHON_VERSION.cpu.base$ARCH_SUFFIX diff --git a/ci/docker/ray-slim.cuda.base.wanda.yaml b/ci/docker/ray-slim.cuda.base.wanda.yaml new file mode 100644 index 000000000000..8ae98a48d11a --- /dev/null +++ b/ci/docker/ray-slim.cuda.base.wanda.yaml @@ -0,0 +1,10 @@ +name: "ray-slim.py$PYTHON_VERSION.cu$CUDA_VERSION.base$ARCH_SUFFIX" +froms: ["nvidia/cuda:$CUDA_VERSION-runtime-ubuntu22.04"] +dockerfile: docker/base-slim/Dockerfile +srcs: + - python/requirements_compiled.txt +build_args: + - PYTHON_VERSION + - BASE_IMAGE=nvidia/cuda:$CUDA_VERSION-runtime-ubuntu22.04 +tags: + - cr.ray.io/rayproject/ray-slim.py$PYTHON_VERSION.cu$CUDA_VERSION.base$ARCH_SUFFIX diff --git a/docker/base-slim/Dockerfile b/docker/base-slim/Dockerfile new file mode 100644 index 000000000000..259bfba3d19c --- /dev/null +++ b/docker/base-slim/Dockerfile @@ -0,0 +1,146 @@ +# syntax=docker/dockerfile:1.3-labs + +# This Dockerfile is used to build the slim Ray image +# Mainly for use on Anyscale. + +ARG BASE_IMAGE +FROM ${BASE_IMAGE} +ARG PYTHON_VERSION + +RUN <> /etc/sudoers + +# Install uv +curl -sSL -o- https://astral.sh/uv/install.sh | env UV_UNMANAGED_INSTALL="/usr/local/bin" sh + +# Determine the architecture of the host +if [[ "${HOSTTYPE}" =~ ^x86_64 ]]; then + ARCH="x86_64" +elif [[ "${HOSTTYPE}" =~ ^aarch64 ]]; then + ARCH="aarch64" +else + echo "Unsupported architecture ${HOSTTYPE}" >/dev/stderr + exit 1 +fi + +# Install dynolog +if [[ "$ARCH" == "x86_64" ]]; then + DYNOLOG_TMP="$(mktemp -d)" + ( + cd "${DYNOLOG_TMP}" + curl -sSL https://github.com/facebookincubator/dynolog/releases/download/v0.3.2/dynolog_0.3.2-0-amd64.deb -o dynolog_0.3.2-0-amd64.deb + sudo dpkg -i dynolog_0.3.2-0-amd64.deb + ) + rm -rf "${DYNOLOG_TMP}" +fi + +# Install azcopy +AZCOPY_VERSION="10.30.0" +AZCOPY_TMP="$(mktemp -d)" +( + cd "${AZCOPY_TMP}" + if [[ "$ARCH" == "x86_64" ]]; then + curl -sSfL "https://github.com/Azure/azure-storage-azcopy/releases/download/v${AZCOPY_VERSION}/azcopy_linux_amd64_${AZCOPY_VERSION}.tar.gz" \ + -o- | tar -xz "azcopy_linux_amd64_${AZCOPY_VERSION}/azcopy" + sudo mv "azcopy_linux_amd64_${AZCOPY_VERSION}/azcopy" /usr/local/bin/azcopy + else + curl -sSfL "https://github.com/Azure/azure-storage-azcopy/releases/download/v${AZCOPY_VERSION}/azcopy_linux_arm64_${AZCOPY_VERSION}.tar.gz" \ + -o- | tar -xz "azcopy_linux_arm64_${AZCOPY_VERSION}/azcopy" + sudo mv "azcopy_linux_arm64_${AZCOPY_VERSION}/azcopy" /usr/local/bin/azcopy + fi +) +rm -rf "${AZCOPY_TMP}" + +# Install awscli +AWSCLI_TMP="$(mktemp -d)" +( + cd "${AWSCLI_TMP}" + curl -sfL "https://awscli.amazonaws.com/awscli-exe-linux-${ARCH}.zip" -o "awscliv2.zip" + unzip -q awscliv2.zip + sudo ./aws/install +) +rm -rf "${AWSCLI_TMP}" +aws --version + +EOF + +# Switch to ray user +USER ray +ENV HOME=/home/ray +WORKDIR /home/ray + +COPY python/requirements_compiled.txt /home/ray/requirements_compiled.txt + +RUN < Date: Mon, 25 Aug 2025 13:45:08 -0700 Subject: [PATCH 0844/1566] [core] move the update for node labels and total resources to ray syncer (#55727) ## Why are these changes needed? Currently, each Raylet gets the scheduling information of other nodes from two sources: GCS PubSub and Ray Syncer. Such as node total resources and node labels come from GCS PubSub, and node available resources come from Ray Syncer. This PR moves the updates for node labels and node total resources to the Ray Syncer from GCS PubSub. The goal is to make Ray Syncer the only one who is responsible for broadcasting all the node scheduling information. ### Changes: 1. LocalResourceManager will now carry labels when populating ResourceViewSyncMessage. 2. NodeManager will NOT update node labels and node total resources on NodeAdded, which is triggered when consuming GCS PubSub. 3. NodeManager will update node labels and node total resources on ConsumeSyncMessage. 4. ClusterResourceManager::UpdateNode will also update node labels. It is triggered by GcsResourceManager::ConsumeSyncMessage. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- src/ray/protobuf/ray_syncer.proto | 2 ++ src/ray/raylet/node_manager.cc | 28 ++++++++----------- .../scheduling/cluster_resource_manager.cc | 11 +++++--- .../scheduling/local_resource_manager.cc | 4 +++ .../tests/cluster_resource_manager_test.cc | 25 +++++++++++++++++ .../tests/local_resource_manager_test.cc | 21 ++++++++++++++ src/ray/raylet/tests/node_manager_test.cc | 27 ++++++++++++++++++ 7 files changed, 98 insertions(+), 20 deletions(-) diff --git a/src/ray/protobuf/ray_syncer.proto b/src/ray/protobuf/ray_syncer.proto index fe239695f129..36da8decc794 100644 --- a/src/ray/protobuf/ray_syncer.proto +++ b/src/ray/protobuf/ray_syncer.proto @@ -45,6 +45,8 @@ message ResourceViewSyncMessage { int64 draining_deadline_timestamp_ms = 6; // Why the node is not idle. repeated string node_activity = 7; + // The key-value labels of this node. + map labels = 8; } message RaySyncMessage { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 3880f3fe3215..61fffd8cee91 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -783,21 +783,6 @@ void NodeManager::NodeAdded(const GcsNodeInfo &node_info) { remote_node_manager_addresses_[node_id] = std::make_pair(node_info.node_manager_address(), node_info.node_manager_port()); - // Set node labels when node added. - absl::flat_hash_map labels(node_info.labels().begin(), - node_info.labels().end()); - cluster_resource_scheduler_.GetClusterResourceManager().SetNodeLabels( - scheduling::NodeID(node_id.Binary()), labels); - - // TODO: Always use the message from ray syncer. // NOLINT - ResourceRequest resources; - for (auto &resource_entry : node_info.resources_total()) { - resources.Set(scheduling::ResourceID(resource_entry.first), - FixedPoint(resource_entry.second)); - } - if (ResourceCreateUpdated(node_id, resources)) { - cluster_task_manager_.ScheduleAndDispatchTasks(); - } // Update the resource view if a new message has been sent. if (auto sync_msg = ray_syncer_.GetSyncMessage(node_id.Binary(), syncer::MessageType::RESOURCE_VIEW)) { @@ -2779,7 +2764,18 @@ void NodeManager::ConsumeSyncMessage( syncer::ResourceViewSyncMessage resource_view_sync_message; resource_view_sync_message.ParseFromString(message->sync_message()); NodeID node_id = NodeID::FromBinary(message->node_id()); - if (UpdateResourceUsage(node_id, resource_view_sync_message)) { + // Set node labels when node added. + auto node_labels = MapFromProtobuf(resource_view_sync_message.labels()); + cluster_resource_scheduler_.GetClusterResourceManager().SetNodeLabels( + scheduling::NodeID(node_id.Binary()), node_labels); + ResourceRequest resources; + for (auto &resource_entry : resource_view_sync_message.resources_total()) { + resources.Set(scheduling::ResourceID(resource_entry.first), + FixedPoint(resource_entry.second)); + } + const bool capacity_updated = ResourceCreateUpdated(node_id, resources); + const bool usage_update = UpdateResourceUsage(node_id, resource_view_sync_message); + if (capacity_updated || usage_update) { cluster_task_manager_.ScheduleAndDispatchTasks(); } } else if (message->message_type() == syncer::MessageType::COMMANDS) { diff --git a/src/ray/raylet/scheduling/cluster_resource_manager.cc b/src/ray/raylet/scheduling/cluster_resource_manager.cc index 225beb0cfbe6..de7f10825c84 100644 --- a/src/ray/raylet/scheduling/cluster_resource_manager.cc +++ b/src/ray/raylet/scheduling/cluster_resource_manager.cc @@ -77,16 +77,19 @@ bool ClusterResourceManager::UpdateNode( return false; } - auto resources_total = MapFromProtobuf(resource_view_sync_message.resources_total()); - auto resources_available = + const auto resources_total = + MapFromProtobuf(resource_view_sync_message.resources_total()); + const auto resources_available = MapFromProtobuf(resource_view_sync_message.resources_available()); + auto node_labels = MapFromProtobuf(resource_view_sync_message.labels()); NodeResources node_resources = ResourceMapToNodeResources(resources_total, resources_available); NodeResources local_view; RAY_CHECK(GetNodeResources(node_id, &local_view)); - local_view.total = node_resources.total; - local_view.available = node_resources.available; + local_view.total = std::move(node_resources.total); + local_view.available = std::move(node_resources.available); + local_view.labels = std::move(node_labels); local_view.object_pulls_queued = resource_view_sync_message.object_pulls_queued(); // Update the idle duration for the node in terms of resources usage. diff --git a/src/ray/raylet/scheduling/local_resource_manager.cc b/src/ray/raylet/scheduling/local_resource_manager.cc index 5ccec894dd4a..f30a8997920d 100644 --- a/src/ray/raylet/scheduling/local_resource_manager.cc +++ b/src/ray/raylet/scheduling/local_resource_manager.cc @@ -306,6 +306,10 @@ void LocalResourceManager::PopulateResourceViewSyncMessage( syncer::ResourceViewSyncMessage &resource_view_sync_message) const { NodeResources resources = ToNodeResources(); + // Populate node labels. + resource_view_sync_message.mutable_labels()->insert(resources.labels.begin(), + resources.labels.end()); + auto total = resources.total.GetResourceMap(); resource_view_sync_message.mutable_resources_total()->insert(total.begin(), total.end()); diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc index 0324c84bb31a..f7d4506dd4e5 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_manager_test.cc @@ -60,6 +60,31 @@ struct ClusterResourceManagerTest : public ::testing::Test { std::unique_ptr manager; }; +TEST_F(ClusterResourceManagerTest, UpdateNode) { + // Prepare a sync message with updated totals/available, labels and flags. + syncer::ResourceViewSyncMessage payload; + payload.mutable_resources_total()->insert({"CPU", 10.0}); + payload.mutable_resources_available()->insert({"CPU", 5.0}); + payload.mutable_labels()->insert({"zone", "us-east-1a"}); + payload.set_object_pulls_queued(true); + payload.set_idle_duration_ms(42); + payload.set_is_draining(true); + payload.set_draining_deadline_timestamp_ms(123456); + + // Update existing node and validate the local view reflects the payload. + ASSERT_TRUE(manager->UpdateNode(node0, payload)); + + const auto &node_resources = manager->GetNodeResources(node0); + ASSERT_EQ(node_resources.total.Get(scheduling::ResourceID("CPU")), 10); + ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU")), 5); + ASSERT_EQ(node_resources.labels.at("zone"), "us-east-1a"); + ASSERT_TRUE(node_resources.object_pulls_queued); + ASSERT_EQ(node_resources.idle_resource_duration_ms, 42); + ASSERT_TRUE(node_resources.is_draining); + ASSERT_EQ(node_resources.draining_deadline_timestamp_ms, 123456); + ASSERT_TRUE(node_resources.last_resource_update_time.has_value()); +} + TEST_F(ClusterResourceManagerTest, DebugStringTest) { // Test max_num_nodes_to_include parameter is working. ASSERT_EQ(std::vector(absl::StrSplit(manager->DebugString(), "node id:")) diff --git a/src/ray/raylet/scheduling/tests/local_resource_manager_test.cc b/src/ray/raylet/scheduling/tests/local_resource_manager_test.cc index 30b30e573f13..17d9d260c10b 100644 --- a/src/ray/raylet/scheduling/tests/local_resource_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/local_resource_manager_test.cc @@ -371,4 +371,25 @@ TEST_F(LocalResourceManagerTest, CreateSyncMessageNegativeResourceAvailability) ASSERT_EQ(resource_view_sync_messge.resources_available().at("CPU"), 0); } +TEST_F(LocalResourceManagerTest, PopulateResourceViewSyncMessage) { + // Prepare node resources with labels. + NodeResources resources = CreateNodeResources({{ResourceID::CPU(), 2.0}}); + resources.labels = {{"label1", "value1"}, {"label2", "value2"}}; + + manager = std::make_unique( + local_node_id, resources, nullptr, nullptr, nullptr, nullptr); + + // Populate the sync message and verify labels are copied over. + syncer::ResourceViewSyncMessage msg; + manager->PopulateResourceViewSyncMessage(msg); + + // Verify total resources are populated. + ASSERT_EQ(msg.resources_total_size(), 1); + ASSERT_EQ(msg.resources_total().at("CPU"), 2.0); + // Verify labels are populated. + ASSERT_EQ(msg.labels_size(), 2); + ASSERT_EQ(msg.labels().at("label1"), "value1"); + ASSERT_EQ(msg.labels().at("label2"), "value2"); +} + } // namespace ray diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 36b263b87207..ffc17e1af5e6 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -749,6 +749,33 @@ TEST_F(NodeManagerTest, TestPinningAnObjectPendingDeletionFails) { EXPECT_FALSE(failed_pin_reply.successes(0)); } +TEST_F(NodeManagerTest, TestConsumeSyncMessage) { + // Create and wrap a mock resource view sync message. + syncer::ResourceViewSyncMessage payload; + payload.mutable_resources_total()->insert({"CPU", 10.0}); + payload.mutable_resources_available()->insert({"CPU", 10.0}); + payload.mutable_labels()->insert({"label1", "value1"}); + + std::string serialized; + ASSERT_TRUE(payload.SerializeToString(&serialized)); + + auto node_id = NodeID::FromRandom(); + syncer::RaySyncMessage msg; + msg.set_node_id(node_id.Binary()); + msg.set_message_type(syncer::MessageType::RESOURCE_VIEW); + msg.set_sync_message(serialized); + + node_manager_->ConsumeSyncMessage(std::make_shared(msg)); + + // Verify node resources and labels were updated. + const auto &node_resources = + cluster_resource_scheduler_->GetClusterResourceManager().GetNodeResources( + scheduling::NodeID(node_id.Binary())); + EXPECT_EQ(node_resources.labels.at("label1"), "value1"); + EXPECT_EQ(node_resources.total.Get(scheduling::ResourceID("CPU")).Double(), 10.0); + EXPECT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU")).Double(), 10.0); +} + TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesSuccessful) { // Test 1: Up scaling (increasing resource capacity) rpc::ResizeLocalResourceInstancesRequest request; From 3c022b32f714cd47339c04fe488a5f86fb84935c Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 25 Aug 2025 15:45:50 -0500 Subject: [PATCH 0845/1566] [core] Remove experimental `max_cpu_frac_per_node` (#53610) [Introduced](https://github.com/ray-project/ray/pull/26397) for Ray AIR, no longer used by any Ray libraries, but never finished ([does not work with autoscaler](https://github.com/ray-project/ray/issues/26791)). This is exposed in the public `ray.util.placement_group` API, but it is marked experimental with a strong caveat and we aren't aware of any external usage, so going to directly remove it. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../ray/runtime/task/native_task_submitter.cc | 3 +- python/ray/_raylet.pyx | 2 - python/ray/includes/common.pxd | 1 - python/ray/util/placement_group.py | 28 --- src/ray/common/placement_group.cc | 4 - src/ray/common/placement_group.h | 4 - src/ray/core_worker/common.h | 4 - src/ray/core_worker/core_worker.cc | 1 - ...io_ray_runtime_task_NativeTaskSubmitter.cc | 3 +- .../gcs/gcs_server/gcs_placement_group_mgr.cc | 4 - .../gcs/gcs_server/gcs_placement_group_mgr.h | 5 - .../gcs_placement_group_scheduler.cc | 9 +- .../gcs_placement_group_scheduler.h | 1 - src/ray/gcs/tests/gcs_test_util.h | 1 - src/ray/protobuf/common.proto | 2 - src/ray/protobuf/gcs.proto | 2 - .../policy/bundle_scheduling_policy.cc | 174 ++---------------- .../policy/bundle_scheduling_policy.h | 9 +- .../scheduling/policy/scheduling_options.h | 27 +-- .../tests/hybrid_scheduling_policy_test.cc | 1 - .../policy/tests/scheduling_policy_test.cc | 132 +------------ .../cluster_resource_scheduler_2_test.cc | 2 - 22 files changed, 31 insertions(+), 388 deletions(-) diff --git a/cpp/src/ray/runtime/task/native_task_submitter.cc b/cpp/src/ray/runtime/task/native_task_submitter.cc index b2e035cc415e..c42ecf725120 100644 --- a/cpp/src/ray/runtime/task/native_task_submitter.cc +++ b/cpp/src/ray/runtime/task/native_task_submitter.cc @@ -200,8 +200,7 @@ ray::PlacementGroup NativeTaskSubmitter::CreatePlacementGroup( create_options.name, (ray::core::PlacementStrategy)create_options.strategy, create_options.bundles, - false, - 1.0); + false); ray::PlacementGroupID placement_group_id; auto status = CoreWorkerProcess::GetCoreWorker().CreatePlacementGroup( options, &placement_group_id); diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 282c39a466a5..f513243a660f 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3880,7 +3880,6 @@ cdef class CoreWorker: c_vector[unordered_map[c_string, double]] bundles, c_string strategy, c_bool is_detached, - double max_cpu_fraction_per_node, soft_target_node_id, c_vector[unordered_map[c_string, c_string]] bundle_label_selector): cdef: @@ -3912,7 +3911,6 @@ cdef class CoreWorker: c_strategy, bundles, is_detached, - max_cpu_fraction_per_node, c_soft_target_node_id, bundle_label_selector), &c_placement_group_id)) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 82d14d92e63a..6e50fd8ae35d 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -372,7 +372,6 @@ cdef extern from "ray/core_worker/common.h" nogil: CPlacementStrategy strategy, const c_vector[unordered_map[c_string, double]] &bundles, c_bool is_detached, - double max_cpu_fraction_per_node, CNodeID soft_target_node_id, const c_vector[unordered_map[c_string, c_string]] &bundle_label_selector, ) diff --git a/python/ray/util/placement_group.py b/python/ray/util/placement_group.py index 02c45f380484..286036118934 100644 --- a/python/ray/util/placement_group.py +++ b/python/ray/util/placement_group.py @@ -148,7 +148,6 @@ def placement_group( strategy: str = "PACK", name: str = "", lifetime: Optional[str] = None, - _max_cpu_fraction_per_node: float = 1.0, _soft_target_node_id: Optional[str] = None, bundle_label_selector: List[Dict[str, str]] = None, ) -> PlacementGroup: @@ -170,14 +169,6 @@ def placement_group( will fate share with its creator and will be deleted once its creator is dead, or "detached", which means the placement group will live as a global object independent of the creator. - _max_cpu_fraction_per_node: (Experimental) Disallow placing bundles on nodes - if it would cause the fraction of CPUs used by bundles from *any* placement - group on the node to exceed this fraction. This effectively sets aside - CPUs that placement groups cannot occupy on nodes. when - `max_cpu_fraction_per_node < 1.0`, at least 1 CPU will be excluded from - placement group scheduling. Note: This feature is experimental and is not - recommended for use with autoscaling clusters (scale-up will not trigger - properly). _soft_target_node_id: (Private, Experimental) Soft hint where bundles of this placement group should be placed. The target node is specified by it's hex ID. @@ -202,7 +193,6 @@ def placement_group( bundles=bundles, strategy=strategy, lifetime=lifetime, - _max_cpu_fraction_per_node=_max_cpu_fraction_per_node, _soft_target_node_id=_soft_target_node_id, bundle_label_selector=bundle_label_selector, ) @@ -220,7 +210,6 @@ def placement_group( bundles, strategy, detached, - _max_cpu_fraction_per_node, _soft_target_node_id, bundle_label_selector, ) @@ -353,7 +342,6 @@ def validate_placement_group( bundles: List[Dict[str, float]], strategy: str = "PACK", lifetime: Optional[str] = None, - _max_cpu_fraction_per_node: float = 1.0, _soft_target_node_id: Optional[str] = None, bundle_label_selector: List[Dict[str, str]] = None, ) -> bool: @@ -361,22 +349,6 @@ def validate_placement_group( Raises ValueError if inputs are invalid. """ - - assert _max_cpu_fraction_per_node is not None - - if _max_cpu_fraction_per_node != 1.0: - warnings.warn( - "The experimental '_max_cpu_fraction_per_node' option for placement groups " - "is deprecated and will be removed in a future version of Ray." - ) - - if _max_cpu_fraction_per_node <= 0 or _max_cpu_fraction_per_node > 1: - raise ValueError( - "Invalid argument `_max_cpu_fraction_per_node`: " - f"{_max_cpu_fraction_per_node}. " - "_max_cpu_fraction_per_node must be a float between 0 and 1. " - ) - if _soft_target_node_id and strategy != "STRICT_PACK": raise ValueError( "_soft_target_node_id currently only works " diff --git a/src/ray/common/placement_group.cc b/src/ray/common/placement_group.cc index 93431cf4c0f4..15c1d825aa15 100644 --- a/src/ray/common/placement_group.cc +++ b/src/ray/common/placement_group.cc @@ -44,8 +44,4 @@ BundleSpecification PlacementGroupSpecification::GetBundle(int position) const { std::string PlacementGroupSpecification::GetName() const { return std::string(message_->name()); } - -double PlacementGroupSpecification::GetMaxCpuFractionPerNode() const { - return message_->max_cpu_fraction_per_node(); -} } // namespace ray diff --git a/src/ray/common/placement_group.h b/src/ray/common/placement_group.h index e20776e3aa5b..f053a917ac70 100644 --- a/src/ray/common/placement_group.h +++ b/src/ray/common/placement_group.h @@ -60,8 +60,6 @@ class PlacementGroupSpecification : public MessageWrapper> &bundles, const rpc::PlacementStrategy strategy, const bool is_detached, - double max_cpu_fraction_per_node, NodeID soft_target_node_id, const JobID &creator_job_id, const ActorID &creator_actor_id, @@ -105,7 +102,6 @@ class PlacementGroupSpecBuilder { message_->set_creator_actor_id(creator_actor_id.Binary()); message_->set_creator_actor_dead(creator_actor_id.IsNil()); message_->set_is_detached(is_detached); - message_->set_max_cpu_fraction_per_node(max_cpu_fraction_per_node); message_->set_soft_target_node_id(soft_target_node_id.Binary()); for (size_t i = 0; i < bundles.size(); i++) { diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index 2cbdbf5bdafa..afd98d20a568 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -219,7 +219,6 @@ struct PlacementGroupCreationOptions { PlacementStrategy strategy, std::vector> bundles, bool is_detached_p, - double max_cpu_fraction_per_node, NodeID soft_target_node_id = NodeID::Nil(), std::vector> bundle_label_selector = {}) @@ -227,7 +226,6 @@ struct PlacementGroupCreationOptions { strategy_(strategy), bundles_(std::move(bundles)), is_detached_(is_detached_p), - max_cpu_fraction_per_node_(max_cpu_fraction_per_node), soft_target_node_id_(soft_target_node_id), bundle_label_selector_(std::move(bundle_label_selector)) { RAY_CHECK(soft_target_node_id_.IsNil() || strategy_ == PlacementStrategy::STRICT_PACK) @@ -242,8 +240,6 @@ struct PlacementGroupCreationOptions { const std::vector> bundles_; /// Whether to keep the placement group persistent after its creator dead. const bool is_detached_ = false; - /// The maximum fraction of CPU cores this placement group can take up on each node. - const double max_cpu_fraction_per_node_; /// ID of the target node where bundles should be placed /// iff the target node has enough available resources and alive. /// Otherwise, the bundles can be placed elsewhere. diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index ae467adc6ca0..8f1b0dd9bd4f 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2219,7 +2219,6 @@ Status CoreWorker::CreatePlacementGroup( placement_group_creation_options.bundles_, placement_group_creation_options.strategy_, placement_group_creation_options.is_detached_, - placement_group_creation_options.max_cpu_fraction_per_node_, placement_group_creation_options.soft_target_node_id_, worker_context_->GetCurrentJobID(), worker_context_->GetCurrentActorID(), diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc index fc565d26e8c0..363d51234a12 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskSubmitter.cc @@ -358,8 +358,7 @@ inline PlacementGroupCreationOptions ToPlacementGroupCreationOptions( return PlacementGroupCreationOptions(name, ConvertStrategy(java_strategy), bundles, - /*is_detached=*/false, - /*max_cpu_fraction_per_node*/ 1.0); + /*is_detached=*/false); } #ifdef __cplusplus diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc index 71b200e2cd7c..3cd7af20aaac 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc @@ -166,10 +166,6 @@ bool GcsPlacementGroup::IsDetached() const { return placement_group_table_data_.is_detached(); } -double GcsPlacementGroup::GetMaxCpuFractionPerNode() const { - return placement_group_table_data_.max_cpu_fraction_per_node(); -} - NodeID GcsPlacementGroup::GetSoftTargetNodeID() const { return NodeID::FromBinary(placement_group_table_data_.soft_target_node_id()); } diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index 00dc3b0baeac..80365c542c87 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -85,8 +85,6 @@ class GcsPlacementGroup { placement_group_table_data_.set_creator_actor_dead( placement_group_spec.creator_actor_dead()); placement_group_table_data_.set_is_detached(placement_group_spec.is_detached()); - placement_group_table_data_.set_max_cpu_fraction_per_node( - placement_group_spec.max_cpu_fraction_per_node()); placement_group_table_data_.set_soft_target_node_id( placement_group_spec.soft_target_node_id()); placement_group_table_data_.set_ray_namespace(ray_namespace); @@ -162,9 +160,6 @@ class GcsPlacementGroup { /// Returns whether or not this is a detached placement group. bool IsDetached() const; - /// Returns the maximum CPU fraction per node for this placement group. - double GetMaxCpuFractionPerNode() const; - /// Return the target node ID where bundles of this placement group should be placed. /// Only works for STRICT_PACK placement group. NodeID GetSoftTargetNodeID() const; diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index 6a981400adf5..703d72c7a4dd 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -72,7 +72,6 @@ void GcsPlacementGroupScheduler::ScheduleUnplacedBundles( auto scheduling_options = CreateSchedulingOptions(placement_group->GetPlacementGroupID(), strategy, - placement_group->GetMaxCpuFractionPerNode(), placement_group->GetSoftTargetNodeID()); auto scheduling_result = cluster_resource_scheduler_.Schedule(resource_request_list, scheduling_options); @@ -475,22 +474,20 @@ GcsPlacementGroupScheduler::CreateSchedulingContext( SchedulingOptions GcsPlacementGroupScheduler::CreateSchedulingOptions( const PlacementGroupID &placement_group_id, rpc::PlacementStrategy strategy, - double max_cpu_fraction_per_node, NodeID soft_target_node_id) { switch (strategy) { case rpc::PlacementStrategy::PACK: - return SchedulingOptions::BundlePack(max_cpu_fraction_per_node); + return SchedulingOptions::BundlePack(); case rpc::PlacementStrategy::SPREAD: - return SchedulingOptions::BundleSpread(max_cpu_fraction_per_node); + return SchedulingOptions::BundleSpread(); case rpc::PlacementStrategy::STRICT_PACK: return SchedulingOptions::BundleStrictPack( - max_cpu_fraction_per_node, soft_target_node_id.IsNil() ? scheduling::NodeID::Nil() : scheduling::NodeID(soft_target_node_id.Binary())); case rpc::PlacementStrategy::STRICT_SPREAD: return SchedulingOptions::BundleStrictSpread( - max_cpu_fraction_per_node, CreateSchedulingContext(placement_group_id)); + CreateSchedulingContext(placement_group_id)); default: RAY_LOG(FATAL) << "Unsupported scheduling type: " << rpc::PlacementStrategy_Name(strategy); diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index ebd5e9e460e9..6c668fccb8a8 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -465,7 +465,6 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// Create scheduling options. SchedulingOptions CreateSchedulingOptions(const PlacementGroupID &placement_group_id, rpc::PlacementStrategy strategy, - double max_cpu_fraction_per_node, NodeID soft_target_node_id); /// Try to release bundle resource to cluster resource manager. diff --git a/src/ray/gcs/tests/gcs_test_util.h b/src/ray/gcs/tests/gcs_test_util.h index 4b5b125a97a7..0d27f047190c 100644 --- a/src/ray/gcs/tests/gcs_test_util.h +++ b/src/ray/gcs/tests/gcs_test_util.h @@ -174,7 +174,6 @@ struct Mocker { bundles, strategy, /* is_detached */ false, - /* max_cpu_fraction_per_node */ 1.0, /* soft_target_node_id */ NodeID::Nil(), job_id, actor_id, diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index d1dae8dd7c68..3c990b2f0a53 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -655,8 +655,6 @@ message PlacementGroupSpec { bool creator_actor_dead = 8; // Whether the placement group is persistent. bool is_detached = 9; - // The maximum fraction of CPU cores that this placement group can use on each node. - double max_cpu_fraction_per_node = 10; // Binary ID of the target node where bundles should be placed // iff the target node has enough available resources and alive. // Otherwise, the bundles can be placed elsewhere. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index 972c80489b25..9d350bca72e8 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -642,8 +642,6 @@ message PlacementGroupTableData { // The placement group's stats / information such as when it is created or // what's the current scheduling state. PlacementGroupStats stats = 12; - // The maximum fraction of CPU cores that this placement group can use on each node. - double max_cpu_fraction_per_node = 13; // Binary ID of the target node where bundles should be placed // iff the target node has enough available resources and alive. // Otherwise, the bundles can be placed elsewhere. diff --git a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc index 2eac56977c51..d01871377f3d 100644 --- a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc +++ b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.cc @@ -14,81 +14,6 @@ #include "ray/raylet/scheduling/policy/bundle_scheduling_policy.h" -namespace { - -/// Return true if scheduling this bundle (with resource_request) will exceed the -/// max cpu fraction for placement groups. This is per node. -/// -/// \param node_resources The resource of the current node. -/// \param bundle_resource_request The requested resources for the current bundle. -/// \param max_cpu_fraction_per_node Highest CPU fraction the bundles can take up. -/// \param available_cpus_before_curernt_pg_request Available CPUs on this node before -/// scheduling the current pg request. It is used to calculate how many CPUs are -/// allocated by the current bundles so far. It will help us figuring out -/// the total CPU allocation from the current bundles for this node. -bool AllocationWillExceedMaxCpuFraction( - const ray::NodeResources &node_resources, - const ray::ResourceRequest &bundle_resource_request, - double max_cpu_fraction_per_node, - double available_cpus_before_curernt_pg_request) { - if (max_cpu_fraction_per_node == 1.0) { - // Allocation will never exceed the threshold if the fraction == 1.0. - return false; - } - - auto cpu_id = ray::ResourceID::CPU(); - auto total_cpus = node_resources.total.Get(cpu_id).Double(); - - // Calculate max_reservable_cpus - auto max_reservable_cpus = - max_cpu_fraction_per_node * node_resources.total.Get(cpu_id).Double(); - - // If the max reservable cpu < 1, we allow at least 1 CPU. - if (max_reservable_cpus < 1) { - max_reservable_cpus = 1; - } - - // We guarantee at least 1 CPU is excluded from the placement group - // when max_cpu_fraction_per_node is specified. - if (max_reservable_cpus > total_cpus - 1) { - max_reservable_cpus = total_cpus - 1; - } - - /* - To calculate if allocating a new bundle will exceed the pg max_fraction, - we need a sum of - - - CPUs used by placement groups before. - - CPUs that will be allocated by the current pg request. - */ - - // Get the sum of all cpu allocated by placement group on this node. - FixedPoint cpus_used_by_pg_before(0); - for (const auto &resource_id : node_resources.total.ExplicitResourceIds()) { - if (ray::GetOriginalResourceNameFromWildcardResource(resource_id.Binary()) == "CPU") { - cpus_used_by_pg_before += node_resources.total.Get(resource_id); - } - } - - // Get the CPUs allocated by current pg request so far. - // Note that when we schedule the current pg, we allocate resources - // temporarily meaning `node_resources.available` will contain - // available CPUs after allocating CPUs for the current pg request. - auto cpus_allocated_by_current_pg_request = - (available_cpus_before_curernt_pg_request - - node_resources.available.Get(cpu_id).Double()); - - auto cpus_to_allocate_by_current_pg_request = - (cpus_allocated_by_current_pg_request + - bundle_resource_request.Get(cpu_id).Double()); - - auto cpus_used_by_pg_after = - cpus_used_by_pg_before.Double() + cpus_to_allocate_by_current_pg_request; - return cpus_used_by_pg_after > max_reservable_cpus; -} - -} // namespace - namespace ray { namespace raylet_scheduling_policy { @@ -117,19 +42,6 @@ BundleSchedulingPolicy::SelectCandidateNodes(const SchedulingContext *context) c return result; } -/// Return the map of node id -> available cpus before the current bundle scheduling. -/// It is used to calculate how many CPUs have been allocated for the current bundles. -const absl::flat_hash_map -BundleSchedulingPolicy::GetAvailableCpusBeforeBundleScheduling() const { - absl::flat_hash_map result; - for (const auto &entry : cluster_resource_manager_.GetResourceView()) { - result.emplace( - entry.first, - entry.second.GetLocalView().available.Get(ray::ResourceID::CPU()).Double()); - } - return result; -} - std::pair, std::vector> BundleSchedulingPolicy::SortRequiredResources( const std::vector &resource_request_list) { @@ -203,9 +115,7 @@ BundleSchedulingPolicy::SortRequiredResources( std::pair BundleSchedulingPolicy::GetBestNode( const ResourceRequest &required_resources, const absl::flat_hash_map &candidate_nodes, - const SchedulingOptions &options, - const absl::flat_hash_map - &available_cpus_before_bundle_scheduling) const { + const SchedulingOptions &options) const { double best_node_score = -1; auto best_node_id = scheduling::NodeID::Nil(); const Node *best_node = nullptr; @@ -213,14 +123,6 @@ std::pair BundleSchedulingPolicy::GetBestNode( // Score the nodes. for (const auto &[node_id, node] : candidate_nodes) { const auto &node_resources = node->GetLocalView(); - if (AllocationWillExceedMaxCpuFraction( - node_resources, - required_resources, - options.max_cpu_fraction_per_node_, - available_cpus_before_bundle_scheduling.at(node_id))) { - continue; - } - double node_score = node_scorer_->Score(required_resources, node_resources); if (best_node_id.IsNil() || best_node_score < node_score) { best_node_id = node_id; @@ -246,9 +148,6 @@ SchedulingResult BundlePackSchedulingPolicy::Schedule( return SchedulingResult::Infeasible(); } - const auto available_cpus_before_bundle_scheduling = - GetAvailableCpusBeforeBundleScheduling(); - // First schedule scarce resources (such as GPU) and large capacity resources to improve // the scheduling success rate. auto sorted_result = SortRequiredResources(resource_request_list); @@ -266,10 +165,7 @@ SchedulingResult BundlePackSchedulingPolicy::Schedule( while (!required_resources_list_copy.empty()) { const auto &required_resources_index = required_resources_list_copy.front().first; const auto &required_resources = required_resources_list_copy.front().second; - auto best_node = GetBestNode(*required_resources, - candidate_nodes, - options, - available_cpus_before_bundle_scheduling); + auto best_node = GetBestNode(*required_resources, candidate_nodes, options); if (best_node.first.IsNil()) { // There is no node to meet the scheduling requirements. break; @@ -285,14 +181,8 @@ SchedulingResult BundlePackSchedulingPolicy::Schedule( // We try to schedule more resources on one node. for (auto iter = required_resources_list_copy.begin(); iter != required_resources_list_copy.end();) { - if (node_resources.IsAvailable(*iter->second) // If the node has enough resources. - && !AllocationWillExceedMaxCpuFraction( // and allocating resources won't - // exceed max cpu fraction. - node_resources, - *iter->second, - options.max_cpu_fraction_per_node_, - available_cpus_before_bundle_scheduling.at(best_node.first))) { - // Then allocate it. + // If the node has sufficient resources, allocate it. + if (node_resources.IsAvailable(*iter->second)) { RAY_CHECK(cluster_resource_manager_.SubtractNodeAvailableResources( best_node.first, *iter->second)); result_nodes[iter->first] = best_node.first; @@ -335,9 +225,6 @@ SchedulingResult BundleSpreadSchedulingPolicy::Schedule( return SchedulingResult::Infeasible(); } - const auto available_cpus_before_bundle_scheduling = - GetAvailableCpusBeforeBundleScheduling(); - // First schedule scarce resources (such as GPU) and large capacity resources to improve // the scheduling success rate. auto sorted_result = SortRequiredResources(resource_request_list); @@ -348,10 +235,7 @@ SchedulingResult BundleSpreadSchedulingPolicy::Schedule( absl::flat_hash_map selected_nodes; for (const auto &resource_request : sorted_resource_request_list) { // Score and sort nodes. - auto best_node = GetBestNode(*resource_request, - candidate_nodes, - options, - available_cpus_before_bundle_scheduling); + auto best_node = GetBestNode(*resource_request, candidate_nodes, options); // There are nodes to meet the scheduling requirements. if (!best_node.first.IsNil()) { @@ -362,10 +246,7 @@ SchedulingResult BundleSpreadSchedulingPolicy::Schedule( selected_nodes.emplace(best_node); } else { // Scheduling from selected nodes. - best_node = GetBestNode(*resource_request, - selected_nodes, - options, - available_cpus_before_bundle_scheduling); + best_node = GetBestNode(*resource_request, selected_nodes, options); if (!best_node.first.IsNil()) { result_nodes.emplace_back(best_node.first); RAY_CHECK(cluster_resource_manager_.SubtractNodeAvailableResources( @@ -405,9 +286,6 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( return SchedulingResult::Infeasible(); } - const auto available_cpus_before_bundle_scheduling = - GetAvailableCpusBeforeBundleScheduling(); - // Aggregate required resources. ResourceRequest aggregated_resource_request; for (const auto &resource_request : resource_request_list) { @@ -418,23 +296,13 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( } } - const auto &right_node_it = std::find_if( - candidate_nodes.begin(), - candidate_nodes.end(), - [&aggregated_resource_request, &options, &available_cpus_before_bundle_scheduling]( - const auto &entry) { - const auto &node_resources = entry.second->GetLocalView(); - auto allocatable = - (node_resources.IsFeasible( - aggregated_resource_request) // If the resource is available - && !AllocationWillExceedMaxCpuFraction( // and allocating resources won't - // exceed max cpu fraction. - node_resources, - aggregated_resource_request, - options.max_cpu_fraction_per_node_, - available_cpus_before_bundle_scheduling.at(entry.first))); - return allocatable; - }); + const auto &right_node_it = + std::find_if(candidate_nodes.begin(), + candidate_nodes.end(), + [&aggregated_resource_request](const auto &entry) { + const auto &node_resources = entry.second->GetLocalView(); + return node_resources.IsFeasible(aggregated_resource_request); + }); if (right_node_it == candidate_nodes.end()) { RAY_LOG(DEBUG) << "The required resource is bigger than the maximum resource in the " @@ -451,16 +319,12 @@ SchedulingResult BundleStrictPackSchedulingPolicy::Schedule( absl::flat_hash_map{ {options.bundle_strict_pack_soft_target_node_id_, candidate_nodes[options.bundle_strict_pack_soft_target_node_id_]}}, - options, - available_cpus_before_bundle_scheduling); + options); } } if (best_node.first.IsNil()) { - best_node = GetBestNode(aggregated_resource_request, - candidate_nodes, - options, - available_cpus_before_bundle_scheduling); + best_node = GetBestNode(aggregated_resource_request, candidate_nodes, options); } // Select the node with the highest score. @@ -491,9 +355,6 @@ SchedulingResult BundleStrictSpreadSchedulingPolicy::Schedule( return SchedulingResult::Infeasible(); } - const auto available_cpus_before_bundle_scheduling = - GetAvailableCpusBeforeBundleScheduling(); - if (resource_request_list.size() > candidate_nodes.size()) { RAY_LOG(DEBUG) << "The number of required resources " << resource_request_list.size() << " is greater than the number of candidate nodes " @@ -510,10 +371,7 @@ SchedulingResult BundleStrictSpreadSchedulingPolicy::Schedule( std::vector result_nodes; for (const auto &resource_request : sorted_resource_request_list) { // Score and sort nodes. - auto best_node = GetBestNode(*resource_request, - candidate_nodes, - options, - available_cpus_before_bundle_scheduling); + auto best_node = GetBestNode(*resource_request, candidate_nodes, options); // There are nodes to meet the scheduling requirements. if (!best_node.first.IsNil()) { diff --git a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h index 255a11957d70..fe82f9fd55e5 100644 --- a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h +++ b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h @@ -61,14 +61,7 @@ class BundleSchedulingPolicy : public IBundleSchedulingPolicy { std::pair GetBestNode( const ResourceRequest &required_resources, const absl::flat_hash_map &candidate_nodes, - const SchedulingOptions &options, - const absl::flat_hash_map - &available_cpus_before_bundle_scheduling) const; - - /// Return the map of node id -> available cpus before the current bundle scheduling. - /// It is used to calculate how many CPUs have been allocated for the current bundles. - const absl::flat_hash_map - GetAvailableCpusBeforeBundleScheduling() const; + const SchedulingOptions &options) const; protected: /// The cluster resource manager. diff --git a/src/ray/raylet/scheduling/policy/scheduling_options.h b/src/ray/raylet/scheduling/policy/scheduling_options.h index fe1d1f2bb8ad..b8f8804e3be2 100644 --- a/src/ray/raylet/scheduling/policy/scheduling_options.h +++ b/src/ray/raylet/scheduling/policy/scheduling_options.h @@ -68,7 +68,6 @@ struct SchedulingOptions { avoid_local_node, require_node_available, RayConfig::instance().scheduler_avoid_gpu_nodes(), - /*max_cpu_fraction_per_node*/ 1.0, /*scheduling_context*/ nullptr, preferred_node_id); } @@ -105,7 +104,6 @@ struct SchedulingOptions { /*avoid_local_node*/ false, /*require_node_available*/ true, /*avoid_gpu_nodes*/ RayConfig::instance().scheduler_avoid_gpu_nodes(), - /*max_cpu_fraction_per_node*/ 0, std::move(scheduling_context)); } @@ -119,7 +117,6 @@ struct SchedulingOptions { /*avoid_local_node*/ false, /*require_node_available*/ true, /*avoid_gpu_nodes*/ RayConfig::instance().scheduler_avoid_gpu_nodes(), - /*max_cpu_fraction_per_node*/ 0, std::move(scheduling_context)); } /* @@ -127,50 +124,44 @@ struct SchedulingOptions { */ // construct option for soft pack scheduling policy. - static SchedulingOptions BundlePack(double max_cpu_fraction_per_node = 1.0) { + static SchedulingOptions BundlePack() { return SchedulingOptions(SchedulingType::BUNDLE_PACK, /*spread_threshold*/ 0, /*avoid_local_node*/ false, /*require_node_available*/ true, - /*avoid_gpu_nodes*/ false, - /*max_cpu_fraction_per_node*/ max_cpu_fraction_per_node); + /*avoid_gpu_nodes*/ false); } // construct option for strict spread scheduling policy. - static SchedulingOptions BundleSpread(double max_cpu_fraction_per_node = 1.0) { + static SchedulingOptions BundleSpread() { return SchedulingOptions(SchedulingType::BUNDLE_SPREAD, /*spread_threshold*/ 0, /*avoid_local_node*/ false, /*require_node_available*/ true, - /*avoid_gpu_nodes*/ false, - /*max_cpu_fraction_per_node*/ max_cpu_fraction_per_node); + /*avoid_gpu_nodes*/ false); } // construct option for strict pack scheduling policy. static SchedulingOptions BundleStrictPack( - double max_cpu_fraction_per_node = 1.0, scheduling::NodeID soft_target_node_id = scheduling::NodeID::Nil()) { SchedulingOptions scheduling_options = SchedulingOptions(SchedulingType::BUNDLE_STRICT_PACK, /*spread_threshold*/ 0, /*avoid_local_node*/ false, /*require_node_available*/ true, - /*avoid_gpu_nodes*/ false, - /*max_cpu_fraction_per_node*/ max_cpu_fraction_per_node); + /*avoid_gpu_nodes*/ false); scheduling_options.bundle_strict_pack_soft_target_node_id_ = soft_target_node_id; return scheduling_options; } // construct option for strict spread scheduling policy. static SchedulingOptions BundleStrictSpread( - double max_cpu_fraction_per_node = 1.0, std::unique_ptr scheduling_context = nullptr) { return SchedulingOptions(SchedulingType::BUNDLE_STRICT_SPREAD, /*spread_threshold*/ 0, /*avoid_local_node*/ false, /*require_node_available*/ true, /*avoid_gpu_nodes*/ false, - /*max_cpu_fraction_per_node*/ max_cpu_fraction_per_node, /*scheduling_context*/ std::move(scheduling_context)); } @@ -179,12 +170,6 @@ struct SchedulingOptions { bool avoid_local_node_; bool require_node_available_; bool avoid_gpu_nodes_; - // Maximum reservable CPU fraction per node. It is applied across multiple - // bundles, individually. E.g., when you have 2 bundles {CPU: 4} from 2 different - // scheduilng request, and there's one node with {CPU: 8}, only 1 bundle from 1 request - // can be scheduled on this node. This is only used for bundle scheduling policies - // (bundle pack, spread). - double max_cpu_fraction_per_node_; // ID of the target node where bundles should be placed // iff the target node has enough available resources. // Otherwise, the bundles can be placed elsewhere. @@ -208,7 +193,6 @@ struct SchedulingOptions { bool avoid_local_node, bool require_node_available, bool avoid_gpu_nodes, - double max_cpu_fraction_per_node = 1.0, std::shared_ptr scheduling_context = nullptr, const std::string &preferred_node_id = std::string(), int32_t schedule_top_k_absolute = RayConfig::instance().scheduler_top_k_absolute(), @@ -218,7 +202,6 @@ struct SchedulingOptions { avoid_local_node_(avoid_local_node), require_node_available_(require_node_available), avoid_gpu_nodes_(avoid_gpu_nodes), - max_cpu_fraction_per_node_(max_cpu_fraction_per_node), scheduling_context_(std::move(scheduling_context)), preferred_node_id_(preferred_node_id), schedule_top_k_absolute_(schedule_top_k_absolute), diff --git a/src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc b/src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc index 786fc52aac61..f0a0042ae3ac 100644 --- a/src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc +++ b/src/ray/raylet/scheduling/policy/tests/hybrid_scheduling_policy_test.cc @@ -62,7 +62,6 @@ class HybridSchedulingPolicyTest : public ::testing::Test { avoid_local_node, require_node_available, avoid_gpu_nodes, - /*max_cpu_fraction_per_node*/ 1.0, /*scheduling_context*/ nullptr, /*preferred_node*/ "", schedule_top_k_absolute, diff --git a/src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc b/src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc index 4cce097edd8f..5d20b6e29c4c 100644 --- a/src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc +++ b/src/ray/raylet/scheduling/policy/tests/scheduling_policy_test.cc @@ -59,7 +59,6 @@ class SchedulingPolicyTest : public ::testing::Test { avoid_local_node, require_node_available, avoid_gpu_nodes, - /*max_cpu_fraction_per_node*/ 1.0, /*scheduling_context*/ nullptr, /*preferred node*/ "", schedule_top_k_absolute, @@ -524,8 +523,7 @@ TEST_F(SchedulingPolicyTest, StrictPackBundleSchedulingTest) { req_list.push_back(&req); // No target node. - auto strict_pack_op = SchedulingOptions::BundleStrictPack( - /*max_cpu_fraction_per_node*/ 1.0, scheduling::NodeID::Nil()); + auto strict_pack_op = SchedulingOptions::BundleStrictPack(scheduling::NodeID::Nil()); auto to_schedule = raylet_scheduling_policy::BundleStrictPackSchedulingPolicy( *cluster_resource_manager, [](auto) { return true; }) .Schedule(req_list, strict_pack_op); @@ -533,8 +531,7 @@ TEST_F(SchedulingPolicyTest, StrictPackBundleSchedulingTest) { ASSERT_EQ(to_schedule.selected_nodes[0], local_node); // Target node has enough available resources. - strict_pack_op = SchedulingOptions::BundleStrictPack(/*max_cpu_fraction_per_node*/ 1.0, - remote_node_2); + strict_pack_op = SchedulingOptions::BundleStrictPack(remote_node_2); to_schedule = raylet_scheduling_policy::BundleStrictPackSchedulingPolicy( *cluster_resource_manager, [](auto) { return true; }) .Schedule(req_list, strict_pack_op); @@ -542,8 +539,7 @@ TEST_F(SchedulingPolicyTest, StrictPackBundleSchedulingTest) { ASSERT_EQ(to_schedule.selected_nodes[0], remote_node_2); // Target node doesn't have enough available resources. - strict_pack_op = - SchedulingOptions::BundleStrictPack(/*max_cpu_fraction_per_node*/ 1.0, remote_node); + strict_pack_op = SchedulingOptions::BundleStrictPack(remote_node); to_schedule = raylet_scheduling_policy::BundleStrictPackSchedulingPolicy( *cluster_resource_manager, [](auto) { return true; }) .Schedule(req_list, strict_pack_op); @@ -551,8 +547,7 @@ TEST_F(SchedulingPolicyTest, StrictPackBundleSchedulingTest) { ASSERT_EQ(to_schedule.selected_nodes[0], local_node); // Target node doesn't exist. - strict_pack_op = SchedulingOptions::BundleStrictPack(/*max_cpu_fraction_per_node*/ 1.0, - scheduling::NodeID(888)); + strict_pack_op = SchedulingOptions::BundleStrictPack(scheduling::NodeID(888)); to_schedule = raylet_scheduling_policy::BundleStrictPackSchedulingPolicy( *cluster_resource_manager, [](auto) { return true; }) .Schedule(req_list, strict_pack_op); @@ -560,125 +555,6 @@ TEST_F(SchedulingPolicyTest, StrictPackBundleSchedulingTest) { ASSERT_EQ(to_schedule.selected_nodes[0], local_node); } -TEST_F(SchedulingPolicyTest, BundleSchedulingMaxFractionTest) { - /* - * Test the bundle scheduling policy respects the max fraction request. - */ - - ResourceRequest req = ResourceMapToResourceRequest({{"CPU", 2}, {"GPU", 1}}, false); - std::vector req_list; - req_list.push_back(&req); - req_list.push_back(&req); - auto pack_op = SchedulingOptions::BundlePack(/*max_cpu_fraction_per_node*/ 0.5); - auto strict_pack_op = - SchedulingOptions::BundleStrictPack(/*max_cpu_fraction_per_node*/ 0.5); - auto spread_op = SchedulingOptions::BundleSpread(/*max_cpu_fraction_per_node*/ 0.5); - auto strict_spread_op = - SchedulingOptions::BundleStrictSpread(/*max_cpu_fraction_per_node*/ 0.5); - - nodes.emplace(local_node, CreateNodeResources(7, 7, 0, 0, 2, 2)); - - auto cluster_resource_manager = MockClusterResourceManager(nodes); - // req is unscheduleable because the max cpu fraction reaches 0.5. - auto unscheduable = raylet_scheduling_policy::BundlePackSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, pack_op); - ASSERT_TRUE(unscheduable.status.IsFailed()); - - unscheduable = raylet_scheduling_policy::BundleSpreadSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, spread_op); - ASSERT_TRUE(unscheduable.status.IsFailed()); - - unscheduable = raylet_scheduling_policy::BundleStrictPackSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, strict_pack_op); - ASSERT_TRUE(unscheduable.status.IsInfeasible()); - - unscheduable = raylet_scheduling_policy::BundleStrictSpreadSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, strict_spread_op); - ASSERT_TRUE(unscheduable.status.IsInfeasible()); -} - -TEST_F(SchedulingPolicyTest, BundleSchedulingMaxFractionOneCpuReservationGuaranteeTest) { - /* - * Test that when the max cpu fraction is provided, it reserves at least 1 CPU. - */ - - ResourceRequest req = ResourceMapToResourceRequest({{"CPU", 1}}, false); - std::vector req_list; - req_list.push_back(&req); - - // NOTE: We can only reserve up to 0.4 CPU, but it will round up to 1, - // which means the placement group is schedulable. - auto pack_op = SchedulingOptions::BundlePack(/*max_cpu_fraction_per_node*/ 0.1); - nodes.emplace(local_node, CreateNodeResources(4, 4, 0, 0, 0, 0)); - - auto cluster_resource_manager = MockClusterResourceManager(nodes); - // req is unscheduleable because the max cpu fraction reaches 0.5. - auto to_schedule = raylet_scheduling_policy::BundlePackSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, pack_op); - ASSERT_TRUE(to_schedule.status.IsSuccess()); -} - -TEST_F(SchedulingPolicyTest, - BundleSchedulingMinFractionExcludeOneCpuReservationGuaranteeTest) { - /* - * Test that when the max cpu fraction is high, it excludes at least 1 CPU. - */ - - ResourceRequest req = ResourceMapToResourceRequest({{"CPU", 3}}, false); - std::vector req_list; - req_list.push_back(&req); - - // NOTE: We can reserve up to 3.96 CPU, but it will round down to 3 (exclude 1 CPU), - // which means a regular task with 1 CPU can be scheduled. - auto pack_op = SchedulingOptions::BundlePack(/*max_cpu_fraction_per_node*/ 0.99); - nodes.emplace(local_node, CreateNodeResources(4, 4, 0, 0, 0, 0)); - - auto cluster_resource_manager = MockClusterResourceManager(nodes); - // req is unscheduleable because the max cpu fraction reaches 0.5. - auto to_schedule = raylet_scheduling_policy::BundlePackSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, pack_op); - ASSERT_TRUE(to_schedule.status.IsSuccess()); - - req = ResourceMapToResourceRequest({{"CPU", 1}}, false); - - auto to_schedule_task = - raylet_scheduling_policy::CompositeSchedulingPolicy( - local_node, *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req, HybridOptions(0.50, false, false)); - ASSERT_TRUE(!to_schedule_task.IsNil()); -} - -TEST_F(SchedulingPolicyTest, BundleSchedulingMaxFractionWorkingWhenNormalResourceUsed) { - /* - * Test that it can schedule placement group correctly when there are non-pg - * resources occupying resources. - */ - - ResourceRequest req = ResourceMapToResourceRequest({{"CPU", 1}}, false); - std::vector req_list; - req_list.push_back(&req); - - // 2 CPUs / 4 CPUs is used by a regular task/actor. - // It means that when the fraction is 0.5, we still should - // be able to schedule a pg because 50% of CPUs still can be - // used for the placement group. - auto pack_op = SchedulingOptions::BundlePack(/*max_cpu_fraction_per_node*/ 0.5); - nodes.emplace(local_node, CreateNodeResources(2, 4, 0, 0, 0, 0)); - - auto cluster_resource_manager = MockClusterResourceManager(nodes); - // req is unscheduleable because the max cpu fraction reaches 0.5. - auto to_schedule = raylet_scheduling_policy::BundlePackSchedulingPolicy( - *cluster_resource_manager, [](auto) { return true; }) - .Schedule(req_list, pack_op); - ASSERT_TRUE(to_schedule.status.IsSuccess()); -} - int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc index f2a19f15474b..06db0f82085a 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_2_test.cc @@ -229,7 +229,6 @@ TEST_F(GcsResourceSchedulerTest, TestNodeFilter) { auto result1 = cluster_resource_scheduler_->Schedule( resource_request_list, SchedulingOptions::BundleStrictSpread( - /*max_cpu_fraction_per_node*/ 1.0, std::make_unique(bundle_locations))); ASSERT_TRUE(result1.status.IsInfeasible()); ASSERT_EQ(result1.selected_nodes.size(), 0); @@ -238,7 +237,6 @@ TEST_F(GcsResourceSchedulerTest, TestNodeFilter) { auto result2 = cluster_resource_scheduler_->Schedule( resource_request_list, SchedulingOptions::BundleStrictSpread( - /*max_cpu_fraction_per_node*/ 1.0, std::make_unique(nullptr))); ASSERT_TRUE(result2.status.IsSuccess()); ASSERT_EQ(result2.selected_nodes.size(), 1); From 68454d4742de7563cd5fcb7864662dcd64a79b0e Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Mon, 25 Aug 2025 13:48:51 -0700 Subject: [PATCH 0846/1566] [Core] Fix variable shadowing in local_object_manager_test.cc (#55888) otherwise ubsan test is not compiling. Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/raylet/tests/local_object_manager_test.cc | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index 2a366322e74a..a5d7192e69b4 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -229,11 +229,12 @@ class MockIOWorker : public MockWorker { MockIOWorker(WorkerID worker_id, int port, std::shared_ptr io_worker) - : MockWorker(worker_id, port), io_worker(io_worker) {} + : MockWorker(worker_id, port), io_worker_(io_worker) {} - rpc::CoreWorkerClientInterface *rpc_client() { return io_worker.get(); } + rpc::CoreWorkerClientInterface *rpc_client() { return io_worker_.get(); } - std::shared_ptr io_worker; + private: + std::shared_ptr io_worker_; }; class MockIOWorkerPool : public IOWorkerPoolInterface { From 76a24fbd7a71d053ba84cb655e70e172739d4851 Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Mon, 25 Aug 2025 14:18:24 -0700 Subject: [PATCH 0847/1566] [Data] Add large parquet release test (#55889) ## Why are these changes needed? Add another `read_parquet` release test on a dataset with larger parquet files. This dataset contains 103 files, 2.2GB each, ~56 row groups per file. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- release/release_data_tests.yaml | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 5a1bf0debacc..ce36281a8e50 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -35,6 +35,22 @@ s3://ray-benchmark-data-internal-us-west-2/imagenet/parquet --format parquet --iter-bundles +- name: "read_large_parquet_{{scaling}}" + + cluster: + cluster_compute: "{{scaling}}_cpu_compute.yaml" + + matrix: + setup: + scaling: [fixed_size, autoscaling] + + run: + timeout: 3600 + script: > + python read_and_consume_benchmark.py + s3://ray-benchmark-data-internal-us-west-2/large-parquet/ --format parquet + --iter-bundles + - name: "read_images_{{scaling}}" cluster: From 38c0671fb28cfb12c04148609df99b236dfc8134 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Tue, 26 Aug 2025 03:08:55 +0530 Subject: [PATCH 0848/1566] [core] Fix flaky `shutdown_coordinator_test` (#55893) Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/tests/shutdown_coordinator_test.cc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index 4079fbbe8020..d20cda359eeb 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -398,9 +398,10 @@ TEST_F(ShutdownCoordinatorTest, Concurrent_DoubleForce_ForceExecutesOnce) { EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); + // Verify that only one forced shutdown was called EXPECT_EQ(fake_ptr->force_calls.load(), 1); EXPECT_EQ(fake_ptr->graceful_calls.load(), 0); - EXPECT_EQ(fake_ptr->last_detail, "force1"); + EXPECT_TRUE(fake_ptr->last_detail == "force1" || fake_ptr->last_detail == "force2"); } } // namespace core From e6842f825f5dcdd32bed63d7e1004a32275093f8 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Mon, 25 Aug 2025 15:37:45 -0700 Subject: [PATCH 0849/1566] [Data] Add time to first batch metric for dataset iterators (#55758) The time to first batch usually takes longer time than the subsequent batches. This is because the time to first batch includes the time needed for the pipeline to warm up. The iterator receives the batch once the first few blocks have made it through all stages of the data pipeline and piped to the train worker consumers. Since we do prefetching and the data pipeline is in a steady state, so the time to produce subsequent batches is much lower. In this PR, we added a metric to track the time to first batch. --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../_internal/block_batching/iter_batches.py | 21 ++++++++++++++++--- python/ray/data/_internal/stats.py | 17 +++++++++++++++ python/ray/data/tests/test_stats.py | 4 ++++ 3 files changed, 39 insertions(+), 3 deletions(-) diff --git a/python/ray/data/_internal/block_batching/iter_batches.py b/python/ray/data/_internal/block_batching/iter_batches.py index f807ae2078dc..9dc052d12aaa 100644 --- a/python/ray/data/_internal/block_batching/iter_batches.py +++ b/python/ray/data/_internal/block_batching/iter_batches.py @@ -135,6 +135,7 @@ def __init__( if actor_prefetcher_enabled else WaitBlockPrefetcher() ) + self._yielded_first_batch = False def _prefetch_blocks( self, ref_bundles: Iterator[RefBundle] @@ -235,15 +236,29 @@ def __iter__(self) -> Iterator[DataBatch]: return self._iter_batches() def before_epoch_start(self): - pass + self._yielded_first_batch = False def after_epoch_end(self): StatsManager.clear_iteration_metrics(self._dataset_tag) @contextmanager def get_next_batch_context(self): - with self._stats.iter_total_blocked_s.timer() if self._stats else nullcontext(): - yield + try: + if self._stats: + # Always track total blocked time + total_timer = self._stats.iter_total_blocked_s.timer() + # Also track the time until the first batch is ready + first_batch_ready_timer = ( + self._stats.iter_time_to_first_batch_s.timer() + if not self._yielded_first_batch + else nullcontext() + ) + with total_timer, first_batch_ready_timer: + yield + else: + yield + finally: + self._yielded_first_batch = True @contextmanager def yield_batch_context(self, batch: Batch): diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index d00b45c89b8a..7f4222f68426 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -280,6 +280,12 @@ def __init__(self, max_stats=1000): description="Seconds user thread is blocked by iter_batches()", tag_keys=iter_tag_keys, ) + self.time_to_first_batch_s = Gauge( + "data_iter_time_to_first_batch_seconds", + description="Total time spent waiting for the first batch after starting iteration. " + "This includes the dataset pipeline warmup time. This metric is accumulated across different epochs.", + tag_keys=iter_tag_keys, + ) self.iter_user_s = Gauge( "data_iter_user_seconds", description="Seconds spent in user code", @@ -469,6 +475,7 @@ def update_iteration_metrics( ): tags = self._create_tags(dataset_tag) self.iter_total_blocked_s.set(stats.iter_total_blocked_s.get(), tags) + self.time_to_first_batch_s.set(stats.iter_time_to_first_batch_s.get(), tags) self.iter_user_s.set(stats.iter_user_s.get(), tags) self.iter_initialize_s.set(stats.iter_initialize_s.get(), tags) @@ -948,6 +955,7 @@ def __init__( self.iter_format_batch_s: Timer = Timer() self.iter_collate_batch_s: Timer = Timer() self.iter_finalize_batch_s: Timer = Timer() + self.iter_time_to_first_batch_s: Timer = Timer() self.iter_total_blocked_s: Timer = Timer() self.iter_user_s: Timer = Timer() self.iter_initialize_s: Timer = Timer() @@ -1003,6 +1011,7 @@ def to_summary(self) -> "DatasetStatsSummary": self.iter_format_batch_s, self.iter_collate_batch_s, self.iter_finalize_batch_s, + self.iter_time_to_first_batch_s, self.iter_total_blocked_s, self.iter_user_s, self.iter_initialize_s, @@ -1642,6 +1651,8 @@ class IterStatsSummary: collate_time: Timer # Time spent in finalize_fn, in seconds finalize_batch_time: Timer + # Time user thread is blocked waiting for first batch + time_to_first_batch: Timer # Total time user thread is blocked by iter_batches block_time: Timer # Time spent in user code, in seconds @@ -1665,6 +1676,7 @@ def to_string(self) -> str: out = "" if ( self.block_time.get() + or self.time_to_first_batch.get() or self.total_time.get() or self.get_time.get() or self.next_time.get() @@ -1685,6 +1697,11 @@ def to_string(self) -> str: " * Total time user thread is blocked by Ray Data iter_batches: " "{}\n".format(fmt(self.block_time.get())) ) + if self.time_to_first_batch.get(): + out += ( + " * Total time spent waiting for the first batch after starting iteration: " + "{}\n".format(fmt(self.time_to_first_batch.get())) + ) if self.user_time.get(): out += " * Total execution time for user thread: {}\n".format( fmt(self.user_time.get()) diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 0a3a32e9d63e..cbe5b5dfa8ba 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -395,6 +395,7 @@ def test_streaming_split_stats(ray_start_regular_shared, restore_data_context): * Total time overall: T * Total time in Ray Data iterator initialization code: T * Total time user thread is blocked by Ray Data iter_batches: T + * Total time spent waiting for the first batch after starting iteration: T * Total execution time for user thread: T * Batch iteration time breakdown (summed across prefetch threads): * In ray.get(): T min, T max, T avg, T total @@ -577,6 +578,7 @@ def test_dataset_stats_basic( f"* Total time overall: T\n" f" * Total time in Ray Data iterator initialization code: T\n" f" * Total time user thread is blocked by Ray Data iter_batches: T\n" + f" * Total time spent waiting for the first batch after starting iteration: T\n" f" * Total execution time for user thread: T\n" f"* Batch iteration time breakdown (summed across prefetch threads):\n" f" * In ray.get(): T min, T max, T avg, T total\n" @@ -618,6 +620,7 @@ def test_block_location_nums(ray_start_regular_shared, restore_data_context): f"* Total time overall: T\n" f" * Total time in Ray Data iterator initialization code: T\n" f" * Total time user thread is blocked by Ray Data iter_batches: T\n" + f" * Total time spent waiting for the first batch after starting iteration: T\n" f" * Total execution time for user thread: T\n" f"* Batch iteration time breakdown (summed across prefetch threads):\n" f" * In ray.get(): T min, T max, T avg, T total\n" @@ -1363,6 +1366,7 @@ def test_streaming_stats_full(ray_start_regular_shared, restore_data_context): * Total time overall: T * Total time in Ray Data iterator initialization code: T * Total time user thread is blocked by Ray Data iter_batches: T + * Total time spent waiting for the first batch after starting iteration: T * Total execution time for user thread: T * Batch iteration time breakdown (summed across prefetch threads): * In ray.get(): T min, T max, T avg, T total From 56a75981955039c565caa089609b3f1b012f9181 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Mon, 25 Aug 2025 15:51:41 -0700 Subject: [PATCH 0850/1566] [core][gpu-objects] tensor shape/dtype is not necessary for send_multiple_tensors (#55870) Signed-off-by: Kai-Hsun Chen Signed-off-by: Douglas Strodtman --- .../experimental/collective/collective_tensor_transport.py | 1 - python/ray/experimental/collective/nixl_tensor_transport.py | 1 - .../ray/experimental/collective/tensor_transport_manager.py | 5 ----- .../experimental/gpu_object_manager/gpu_object_manager.py | 1 - .../ray/experimental/gpu_object_manager/gpu_object_store.py | 2 -- 5 files changed, 10 deletions(-) diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index d4dece6f1808..64bc0991db26 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -129,7 +129,6 @@ def recv_multiple_tensors( @staticmethod def send_multiple_tensors( tensors: List["torch.Tensor"], - tensor_transport_metadata: CollectiveTransportMetadata, communicator_metadata: CollectiveCommunicatorMetadata, device: "torch.device", ): diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index 5723e7b1d686..eb86f0cb9a3d 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -109,7 +109,6 @@ def recv_multiple_tensors( @staticmethod def send_multiple_tensors( tensors: List["torch.Tensor"], - tensor_transport_metadata: NixlTransportMetadata, communicator_metadata: NixlCommunicatorMetadata, device: "torch.device", ): diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 302b6998b699..9f3896699393 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -64,7 +64,6 @@ def get_communicator_metadata( def send_object( src_actor: "ray.actor.ActorHandle", obj_id: str, - tensor_transport_metadata_ref: TensorTransportMetadata, communicator_metadata_ref: CommunicatorMetadata, ): """ @@ -73,7 +72,6 @@ def send_object( Args: src_actor: The actor that runs this function. obj_id: The ID of the GPU object to send. - tensor_transport_metadata_ref: The ObjectRef of tensor transport metadata for the GPU object. communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. """ from ray.experimental.gpu_object_manager.gpu_object_store import __ray_send__ @@ -85,7 +83,6 @@ def send_object( src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( __ray_send__, obj_id, - tensor_transport_metadata_ref, communicator_metadata_ref, ) @@ -145,7 +142,6 @@ def recv_multiple_tensors( @abstractmethod def send_multiple_tensors( tensors: List["torch.Tensor"], - tensor_transport_metadata: TensorTransportMetadata, communicator_metadata: CommunicatorMetadata, device: "torch.device", ): @@ -154,7 +150,6 @@ def send_multiple_tensors( Args: tensors: The tensors to send. - tensor_transport_metadata: The tensor transport metadata for the GPU object. communicator_metadata: The communicator metadata for the send/recv operation. device: The device to send the tensors to. """ diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 7d7f031269e6..9102edb86566 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -222,7 +222,6 @@ def trigger_out_of_band_tensor_transfer( tensor_transport_manager.send_object( src_actor, obj_id, - tensor_transport_meta, communicator_meta, ) tensor_transport_manager.recv_object( diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 6b39a5856554..92e706f50af0 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -48,7 +48,6 @@ def _tensor_transport_to_collective_backend( def __ray_send__( self, obj_id: str, - tensor_transport_meta: TensorTransportMetadata, communicator_meta: CommunicatorMetadata, ): """Helper function that runs on the src actor to send tensors to the dst actor.""" @@ -69,7 +68,6 @@ def __ray_send__( tensor_transport_manager = get_tensor_transport_manager(backend) tensor_transport_manager.send_multiple_tensors( tensors, - tensor_transport_meta, communicator_meta, device=device, ) From f63330b27977fd9cda9c46e4ca4398932d47679f Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Mon, 25 Aug 2025 15:53:14 -0700 Subject: [PATCH 0851/1566] [train] add usage tag key for JaxTrainer (#55887) Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- python/ray/air/_internal/usage.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/air/_internal/usage.py b/python/ray/air/_internal/usage.py index 9e921d40f803..4933a7517631 100644 --- a/python/ray/air/_internal/usage.py +++ b/python/ray/air/_internal/usage.py @@ -24,6 +24,7 @@ TRAIN_V2_TRAINERS = { "DataParallelTrainer", + "JaxTrainer", "LightGBMTrainer", "TensorflowTrainer", "TorchTrainer", From 834b5280e725691838df27b1c382bad202044504 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 25 Aug 2025 17:23:23 -0700 Subject: [PATCH 0852/1566] [Data] - Hash Partitioning test, make assert less sensitive to exact number of partitions (#55905) ## Why are these changes needed? Make `test_hash_partitioning` assert statement less sensitive to exact number of partitions ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_transform_pyarrow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index f2a58f1c6bcc..2d0ba5f2f75c 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -101,7 +101,7 @@ def _concat_and_sort_partitions(parts: Iterable[pa.Table]) -> pa.Table: t, hash_cols=["structs"], num_partitions=101 ) - assert len(_structs_partition_dict) == 34 + assert len(_structs_partition_dict) <= 101 assert t == _concat_and_sort_partitions(_structs_partition_dict.values()) From 312d626944cfffa7ed5bdbfadeafce503000bf70 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 25 Aug 2025 20:26:33 -0500 Subject: [PATCH 0853/1566] [core] Remove `gcs_rpc_server.h` dependency from `GcsNodeManager` (#55886) Drops compilation time of `gcs_node_manager` target from ~24s to ~14s (measured locally on a change to `gcs_node_manager.cc`). --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 36 ++++++++- src/ray/gcs/gcs_server/gcs_node_manager.h | 4 +- src/ray/gcs/gcs_server/gcs_server.cc | 5 +- .../gcs/gcs_server/grpc_service_interfaces.h | 68 +++++++++++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 40 ++++++++++ src/ray/gcs/gcs_server/grpc_services.h | 62 ++++++++++++++++ src/ray/rpc/gcs/gcs_rpc_server.h | 73 ------------------- 7 files changed, 211 insertions(+), 77 deletions(-) create mode 100644 src/ray/gcs/gcs_server/grpc_service_interfaces.h create mode 100644 src/ray/gcs/gcs_server/grpc_services.cc create mode 100644 src/ray/gcs/gcs_server/grpc_services.h diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 74cdbd2067c7..7bdcecd2c0c6 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -74,13 +74,13 @@ ray_cc_library( deps = [ ":gcs_init_data", ":gcs_table_storage", + ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", - "//src/ray/rpc:gcs_server", "//src/ray/rpc:node_manager_client", "//src/ray/util:event", "//src/ray/util:logging", @@ -219,6 +219,38 @@ ray_cc_library( ], ) +ray_cc_library( + name = "grpc_service_interfaces", + hdrs = [ + "grpc_service_interfaces.h", + ], + visibility = ["//visibility:private"], + deps = [ + "//src/ray/common:status", + "//src/ray/protobuf:gcs_service_cc_grpc", + ], +) + +ray_cc_library( + name = "grpc_services", + srcs = [ + "grpc_services.cc", + ], + hdrs = [ + "grpc_services.h", + ], + visibility = ["//visibility:private"], + deps = [ + ":grpc_service_interfaces", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/rpc:grpc_server", + "//src/ray/rpc:server_call", + "@com_github_grpc_grpc//:grpc++", + ], +) + ray_cc_library( name = "gcs_server_lib", srcs = [ @@ -255,6 +287,8 @@ ray_cc_library( ":gcs_task_manager", ":gcs_usage_stats_client", ":gcs_worker_manager", + ":grpc_service_interfaces", + ":grpc_services", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client", "//src/ray/gcs/store_client:in_memory_store_client", diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 02c3b6723d55..d54536c4ec49 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -24,8 +24,8 @@ #include "ray/common/id.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/event.h" #include "src/ray/protobuf/gcs.pb.h" @@ -39,7 +39,7 @@ class GcsStateTest; /// GcsNodeManager is responsible for managing and monitoring nodes as well as handing /// node and resource related rpc requests. /// This class is not thread-safe. -class GcsNodeManager : public rpc::NodeInfoHandler { +class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { public: /// Create a GcsNodeManager. /// diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 503414c9685a..9e15a8f79429 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -29,6 +29,7 @@ #include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_worker_manager.h" +#include "ray/gcs/gcs_server/grpc_services.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" @@ -356,7 +357,9 @@ void GcsServer::InitGcsNodeManager(const GcsInitData &gcs_init_data) { // Initialize by gcs tables data. gcs_node_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_node_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_node_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InitGcsHealthCheckManager(const GcsInitData &gcs_init_data) { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h new file mode 100644 index 000000000000..0deb908cae5d --- /dev/null +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -0,0 +1,68 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/* + * This file defines the gRPC service *INTERFACES* only. + * The subcomponent that handles a given interface should inherit from the relevant + * class. The target for the subcomponent should depend only on this file, not on + * grpc_services.h. + */ + +#pragma once + +#include "ray/common/status.h" +#include "src/ray/protobuf/gcs_service.grpc.pb.h" + +namespace ray { +namespace rpc { + +using SendReplyCallback = std::function success, std::function failure)>; + +#define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ + reply->mutable_status()->set_code(static_cast(status.code())); \ + reply->mutable_status()->set_message(status.message()); \ + send_reply_callback(ray::Status::OK(), nullptr, nullptr) + +class NodeInfoGcsServiceHandler { + public: + virtual ~NodeInfoGcsServiceHandler() = default; + + virtual void HandleGetClusterId(GetClusterIdRequest request, + GetClusterIdReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRegisterNode(RegisterNodeRequest request, + RegisterNodeReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleUnregisterNode(UnregisterNodeRequest request, + UnregisterNodeReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleCheckAlive(CheckAliveRequest request, + CheckAliveReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleDrainNode(DrainNodeRequest request, + DrainNodeReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllNodeInfo(GetAllNodeInfoRequest request, + GetAllNodeInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc new file mode 100644 index 000000000000..098299683462 --- /dev/null +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -0,0 +1,40 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#include "ray/gcs/gcs_server/grpc_services.h" + +#include +#include + +namespace ray { +namespace rpc { + +void NodeInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + // We only allow one cluster ID in the lifetime of a client. + // So, if a client connects, it should not have a pre-existing different ID. + RPC_SERVICE_HANDLER_CUSTOM_AUTH(NodeInfoGcsService, + GetClusterId, + max_active_rpcs_per_handler_, + AuthType::EMPTY_AUTH); + RPC_SERVICE_HANDLER(NodeInfoGcsService, RegisterNode, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(NodeInfoGcsService, UnregisterNode, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(NodeInfoGcsService, DrainNode, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(NodeInfoGcsService, GetAllNodeInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(NodeInfoGcsService, CheckAlive, max_active_rpcs_per_handler_) +} + +} // namespace rpc +} // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h new file mode 100644 index 000000000000..e4785f1dbe65 --- /dev/null +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -0,0 +1,62 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/* + * This file defines the gRPC service handlers for the GCS server binary. + * Subcomponents that implement a given interface should inherit from the relevant + * class in grpc_service_interfaces.h. + * + * The GCS server main binary should be the only user of this target. + */ + +#pragma once + +#include +#include + +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/id.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/rpc/grpc_server.h" +#include "ray/rpc/server_call.h" +#include "src/ray/protobuf/gcs_service.grpc.pb.h" + +namespace ray { +namespace rpc { + +class NodeInfoGrpcService : public GrpcService { + public: + explicit NodeInfoGrpcService(instrumented_io_context &io_service, + NodeInfoGcsServiceHandler &service_handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(service_handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + NodeInfoGcsService::AsyncService service_; + NodeInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index e91b8161a8af..6e5835ae032f 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -122,11 +122,6 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define NODE_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(NodeInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define TASK_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(TaskInfoGcsService, \ HANDLER, \ @@ -319,73 +314,6 @@ class ActorInfoGrpcService : public GrpcService { ActorInfoGcsServiceHandler &service_handler_; }; -class NodeInfoGcsServiceHandler { - public: - virtual ~NodeInfoGcsServiceHandler() = default; - - virtual void HandleGetClusterId(rpc::GetClusterIdRequest request, - rpc::GetClusterIdReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; - - virtual void HandleRegisterNode(RegisterNodeRequest request, - RegisterNodeReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleUnregisterNode(UnregisterNodeRequest request, - UnregisterNodeReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleCheckAlive(CheckAliveRequest request, - CheckAliveReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleDrainNode(DrainNodeRequest request, - DrainNodeReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllNodeInfo(GetAllNodeInfoRequest request, - GetAllNodeInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `NodeInfoGcsService`. -class NodeInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit NodeInfoGrpcService(instrumented_io_context &io_service, - NodeInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - // We only allow one cluster ID in the lifetime of a client. - // So, if a client connects, it should not have a pre-existing different ID. - RPC_SERVICE_HANDLER_CUSTOM_AUTH( - NodeInfoGcsService, - GetClusterId, - RayConfig::instance().gcs_max_active_rpcs_per_handler(), - AuthType::EMPTY_AUTH); - NODE_INFO_SERVICE_RPC_HANDLER(RegisterNode); - NODE_INFO_SERVICE_RPC_HANDLER(UnregisterNode); - NODE_INFO_SERVICE_RPC_HANDLER(DrainNode); - NODE_INFO_SERVICE_RPC_HANDLER(GetAllNodeInfo); - NODE_INFO_SERVICE_RPC_HANDLER(CheckAlive); - } - - private: - /// The grpc async service object. - NodeInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - NodeInfoGcsServiceHandler &service_handler_; -}; - class NodeResourceInfoGcsServiceHandler { public: virtual ~NodeResourceInfoGcsServiceHandler() = default; @@ -767,7 +695,6 @@ class InternalPubSubGrpcService : public GrpcService { using JobInfoHandler = JobInfoGcsServiceHandler; using ActorInfoHandler = ActorInfoGcsServiceHandler; -using NodeInfoHandler = NodeInfoGcsServiceHandler; using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; using WorkerInfoHandler = WorkerInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; From af8b28040c86ec22262507b67742dbe07303064d Mon Sep 17 00:00:00 2001 From: vickytsang Date: Mon, 25 Aug 2025 18:52:26 -0700 Subject: [PATCH 0854/1566] [Core][AMD] Add AMD Instinct MI350 and MI355 products (#55853) Signed-off-by: root Signed-off-by: Douglas Strodtman --- python/ray/_private/accelerators/amd_gpu.py | 2 ++ python/ray/util/accelerators/accelerators.py | 2 ++ 2 files changed, 4 insertions(+) diff --git a/python/ray/_private/accelerators/amd_gpu.py b/python/ray/_private/accelerators/amd_gpu.py index ec870193c8c6..0e820b28a666 100644 --- a/python/ray/_private/accelerators/amd_gpu.py +++ b/python/ray/_private/accelerators/amd_gpu.py @@ -21,6 +21,8 @@ "0x74a2": "AMD-Instinct-MI308X-OAM", "0x74a9": "AMD-Instinct-MI300X-HF", "0x74a5": "AMD-Instinct-MI325X-OAM", + "0x75a0": "AMD-Instinct-MI350X-OAM", + "0x75a3": "AMD-Instinct-MI355X-OAM", "0x6798": "AMD-Radeon-R9-200-HD-7900", "0x6799": "AMD-Radeon-HD-7900", "0x679A": "AMD-Radeon-HD-7900", diff --git a/python/ray/util/accelerators/accelerators.py b/python/ray/util/accelerators/accelerators.py index aaa5b8f86f81..b68d0460b538 100644 --- a/python/ray/util/accelerators/accelerators.py +++ b/python/ray/util/accelerators/accelerators.py @@ -23,6 +23,8 @@ AMD_INSTINCT_MI300x_HF = "AMD-Instinct-MI300X-HF" AMD_INSTINCT_MI308x = "AMD-Instinct-MI308X" AMD_INSTINCT_MI325x = "AMD-Instinct-MI325X-OAM" +AMD_INSTINCT_MI350x = "AMD-Instinct-MI350X-OAM" +AMD_INSTINCT_MI355x = "AMD-Instinct-MI355X-OAM" AMD_RADEON_R9_200_HD_7900 = "AMD-Radeon-R9-200-HD-7900" AMD_RADEON_HD_7900 = "AMD-Radeon-HD-7900" AWS_NEURON_CORE = "aws-neuron-core" From ada9009051b8a5745922c9c27b286c03eb4b96e9 Mon Sep 17 00:00:00 2001 From: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Date: Mon, 25 Aug 2025 20:11:16 -0700 Subject: [PATCH 0855/1566] [Serve.llm] Add start/stop_profile method to LLMServer (#55920) Signed-off-by: Rui Qiao Signed-off-by: Douglas Strodtman --- .../serve/deployments/llm/llm_server.py | 30 ++++++++++++ .../serve/deployments/llm/vllm/vllm_engine.py | 8 ++++ .../cpu/deployments/llm/test_llm_server.py | 48 ++++++++++++++++++- .../llm/tests/serve/mocks/mock_vllm_engine.py | 10 ++++ 4 files changed, 95 insertions(+), 1 deletion(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index f7f4d274e611..72a02525286e 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -108,6 +108,14 @@ async def check_health(self) -> None: async def reset_prefix_cache(self) -> None: """Reset the prefix cache of the underlying engine""" + @abstractmethod + async def start_profile(self) -> None: + """Start profiling""" + + @abstractmethod + async def stop_profile(self) -> None: + """Stop profiling""" + # TODO (Kourosh): This does not belong here. async def llm_config(self) -> Optional[LLMConfig]: return None @@ -410,6 +418,28 @@ async def reset_prefix_cache(self) -> None: ) raise e + async def start_profile(self) -> None: + """Start profiling""" + if self.engine is None: + return + try: + await self.engine.start_profile() + except Exception as e: + logger.error( + "Engine start profile failed in LLMServer.start_profile: %s", e + ) + raise e + + async def stop_profile(self) -> None: + """Stop profiling""" + if self.engine is None: + return + try: + await self.engine.stop_profile() + except Exception as e: + logger.error("Engine stop profile failed in LLMServer.stop_profile: %s", e) + raise e + async def llm_config(self) -> Optional[LLMConfig]: return self._llm_config diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 28ad58b09bb5..9e67fdbe30dd 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -454,3 +454,11 @@ async def check_health(self) -> None: async def reset_prefix_cache(self) -> None: assert self._engine_client is not None, "engine_client is not initialized" await self._engine_client.reset_prefix_cache() + + async def start_profile(self) -> None: + assert self._engine_client is not None, "engine_client is not initialized" + await self._engine_client.start_profile() + + async def stop_profile(self) -> None: + assert self._engine_client is not None, "engine_client is not initialized" + await self._engine_client.stop_profile() diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index 6b7627980490..20c517bd23b6 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -192,12 +192,58 @@ async def reset_prefix_cache(self): server = LLMServer.sync_init(mock_llm_config, engine_cls=LocalMockEngine) await server.start() - # Perform the health check, no exceptions should be raised + # Reset prefix cache, no exceptions should be raised await server.reset_prefix_cache() # Check that the reset prefix cache method was called assert server.engine.reset_prefix_cache_called + @pytest.mark.asyncio + async def test_start_profile(self, mock_llm_config): + """Test start profile functionality.""" + + # Mock the engine's start_profile method + class LocalMockEngine(MockVLLMEngine): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.start_profile_called = False + + async def start_profile(self): + self.start_profile_called = True + + # Create a server with a mocked engine + server = LLMServer.sync_init(mock_llm_config, engine_cls=LocalMockEngine) + await server.start() + + # Start profile, no exceptions should be raised + await server.start_profile() + + # Check that the start profile method was called + assert server.engine.start_profile_called + + @pytest.mark.asyncio + async def test_stop_profile(self, mock_llm_config): + """Test stop profile functionality.""" + + # Mock the engine's stop_profile method + class LocalMockEngine(MockVLLMEngine): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.stop_profile_called = False + + async def stop_profile(self): + self.stop_profile_called = True + + # Create a server with a mocked engine + server = LLMServer.sync_init(mock_llm_config, engine_cls=LocalMockEngine) + await server.start() + + # Stop profile, no exceptions should be raised + await server.stop_profile() + + # Check that the stop profile method was called + assert server.engine.stop_profile_called + @pytest.mark.asyncio async def test_llm_config_property(self, mock_llm_config): """Test the llm_config property.""" diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 5fd900d1c6fb..6879d7db1272 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -56,6 +56,16 @@ async def reset_prefix_cache(self) -> None: if not self.started: raise RuntimeError("Engine not started") + async def start_profile(self) -> None: + """Start profiling of the mock engine.""" + if not self.started: + raise RuntimeError("Engine not started") + + async def stop_profile(self) -> None: + """Stop profiling of the mock engine.""" + if not self.started: + raise RuntimeError("Engine not started") + async def chat( self, request: ChatCompletionRequest ) -> AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None]: From 2cadac3cb16847a1379f2044cc69c3e21635fc69 Mon Sep 17 00:00:00 2001 From: Rueian Date: Mon, 25 Aug 2025 21:56:53 -0700 Subject: [PATCH 0856/1566] [core] avoid copying node labels when updating them from sync messages (#55909) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/gcs_resource_manager.cc | 2 +- src/ray/raylet/node_manager.cc | 2 +- src/ray/raylet/scheduling/cluster_resource_manager.cc | 4 ++-- src/ray/raylet/scheduling/cluster_resource_manager.h | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_server/gcs_resource_manager.cc index 088c32cc2b15..373ec4c5dae5 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.cc @@ -301,7 +301,7 @@ void GcsResourceManager::OnNodeAdd(const rpc::GcsNodeInfo &node) { absl::flat_hash_map labels(node.labels().begin(), node.labels().end()); - cluster_resource_manager_.SetNodeLabels(scheduling_node_id, labels); + cluster_resource_manager_.SetNodeLabels(scheduling_node_id, std::move(labels)); rpc::ResourcesData data; data.set_node_id(node_id.Binary()); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 61fffd8cee91..0f536647b7cd 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2767,7 +2767,7 @@ void NodeManager::ConsumeSyncMessage( // Set node labels when node added. auto node_labels = MapFromProtobuf(resource_view_sync_message.labels()); cluster_resource_scheduler_.GetClusterResourceManager().SetNodeLabels( - scheduling::NodeID(node_id.Binary()), node_labels); + scheduling::NodeID(node_id.Binary()), std::move(node_labels)); ResourceRequest resources; for (auto &resource_entry : resource_view_sync_message.resources_total()) { resources.Set(scheduling::ResourceID(resource_entry.first), diff --git a/src/ray/raylet/scheduling/cluster_resource_manager.cc b/src/ray/raylet/scheduling/cluster_resource_manager.cc index de7f10825c84..7ed06e6b96f5 100644 --- a/src/ray/raylet/scheduling/cluster_resource_manager.cc +++ b/src/ray/raylet/scheduling/cluster_resource_manager.cc @@ -293,13 +293,13 @@ BundleLocationIndex &ClusterResourceManager::GetBundleLocationIndex() { void ClusterResourceManager::SetNodeLabels( const scheduling::NodeID &node_id, - const absl::flat_hash_map &labels) { + absl::flat_hash_map labels) { auto it = nodes_.find(node_id); if (it == nodes_.end()) { NodeResources node_resources; it = nodes_.emplace(node_id, node_resources).first; } - it->second.GetMutableLocalView()->labels = labels; + it->second.GetMutableLocalView()->labels = std::move(labels); } } // namespace ray diff --git a/src/ray/raylet/scheduling/cluster_resource_manager.h b/src/ray/raylet/scheduling/cluster_resource_manager.h index a83c6a608624..1b3f01528031 100644 --- a/src/ray/raylet/scheduling/cluster_resource_manager.h +++ b/src/ray/raylet/scheduling/cluster_resource_manager.h @@ -138,7 +138,7 @@ class ClusterResourceManager { BundleLocationIndex &GetBundleLocationIndex(); void SetNodeLabels(const scheduling::NodeID &node_id, - const absl::flat_hash_map &labels); + absl::flat_hash_map labels); private: friend class ClusterResourceScheduler; From b3055ecf332de11e13a1f65b4bf490f37e087e32 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 25 Aug 2025 22:17:08 -0700 Subject: [PATCH 0857/1566] [ci] organizing llm lock files (#55714) Moving llm lock files to a better directory in anticipation of generating many more lock files --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/docker/llm.build.Dockerfile | 2 +- ci/docker/llm.build.wanda.yaml | 4 +- ci/docker/ray-llm.base.wanda.yaml | 2 +- ci/pipeline/test_rules.txt | 2 +- ci/raydepsets/rayllm.depsets.yaml | 10 +- ci/test_compile_llm_requirements.sh | 8 +- .../examples/e2e-audio/requirements.txt | 2 +- docker/ray-llm/Dockerfile | 4 +- .../llm/ray_py311_cpu.lock} | 216 ++++----- .../llm/ray_py311_cu121.lock} | 216 ++++----- .../llm/ray_py311_cu128.lock} | 216 ++++----- .../llm/ray_test_py311_cpu.lock} | 2 +- .../llm/ray_test_py311_cu121.lock} | 2 +- .../llm/ray_test_py311_cu128.lock} | 2 +- .../llm/rayllm_py311_cpu.lock} | 350 +++++++------- .../llm/rayllm_py311_cu121.lock} | 378 +++++++-------- .../llm/rayllm_py311_cu128.lock} | 378 +++++++-------- .../llm/rayllm_test_py311_cpu.lock} | 446 +++++++++--------- .../llm/rayllm_test_py311_cu121.lock} | 446 +++++++++--------- .../llm/rayllm_test_py311_cu128.lock} | 446 +++++++++--------- 20 files changed, 1566 insertions(+), 1566 deletions(-) rename python/{requirements_compiled_ray_py311_cpu.txt => deplocks/llm/ray_py311_cpu.lock} (95%) rename python/{requirements_compiled_ray_py311_cu121.txt => deplocks/llm/ray_py311_cu121.lock} (95%) rename python/{requirements_compiled_ray_py311_cu128.txt => deplocks/llm/ray_py311_cu128.lock} (95%) rename python/{requirements_compiled_ray_test_py311_cpu.txt => deplocks/llm/ray_test_py311_cpu.lock} (99%) rename python/{requirements_compiled_ray_test_py311_cu121.txt => deplocks/llm/ray_test_py311_cu121.lock} (99%) rename python/{requirements_compiled_ray_test_py311_cu128.txt => deplocks/llm/ray_test_py311_cu128.lock} (99%) rename python/{requirements_compiled_rayllm_py311_cpu.txt => deplocks/llm/rayllm_py311_cpu.lock} (95%) rename python/{requirements_compiled_rayllm_py311_cu121.txt => deplocks/llm/rayllm_py311_cu121.lock} (95%) rename python/{requirements_compiled_rayllm_py311_cu128.txt => deplocks/llm/rayllm_py311_cu128.lock} (95%) rename python/{requirements_compiled_rayllm_test_py311_cpu.txt => deplocks/llm/rayllm_test_py311_cpu.lock} (95%) rename python/{requirements_compiled_rayllm_test_py311_cu121.txt => deplocks/llm/rayllm_test_py311_cu121.lock} (95%) rename python/{requirements_compiled_rayllm_test_py311_cu128.txt => deplocks/llm/rayllm_test_py311_cu128.lock} (95%) diff --git a/ci/docker/llm.build.Dockerfile b/ci/docker/llm.build.Dockerfile index 42e1dca1ac03..312d31c5e94b 100644 --- a/ci/docker/llm.build.Dockerfile +++ b/ci/docker/llm.build.Dockerfile @@ -17,6 +17,6 @@ set -euo pipefail SKIP_PYTHON_PACKAGES=1 ./ci/env/install-dependencies.sh -pip install --no-deps -r python/requirements_compiled_rayllm_test_py311_$RAY_CUDA_CODE.txt +pip install --no-deps -r python/deplocks/llm/rayllm_test_py311_${RAY_CUDA_CODE}.lock EOF diff --git a/ci/docker/llm.build.wanda.yaml b/ci/docker/llm.build.wanda.yaml index 5779c145fcf9..6d89370977a3 100644 --- a/ci/docker/llm.build.wanda.yaml +++ b/ci/docker/llm.build.wanda.yaml @@ -5,8 +5,8 @@ srcs: - ci/env/install-dependencies.sh - ci/env/install-llvm-binaries.sh - ci/suppress_output - - python/requirements_compiled_rayllm_test_py311_cpu.txt - - python/requirements_compiled_rayllm_test_py311_cu128.txt + - python/deplocks/llm/rayllm_test_py311_cpu.lock + - python/deplocks/llm/rayllm_test_py311_cu128.lock tags: - cr.ray.io/rayproject/$IMAGE_TO build_args: diff --git a/ci/docker/ray-llm.base.wanda.yaml b/ci/docker/ray-llm.base.wanda.yaml index ad7db3ea04ec..f1f91c738382 100644 --- a/ci/docker/ray-llm.base.wanda.yaml +++ b/ci/docker/ray-llm.base.wanda.yaml @@ -3,7 +3,7 @@ froms: ["cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base"] dockerfile: docker/ray-llm/Dockerfile srcs: - python/requirements.txt - - python/requirements_compiled_rayllm_py311_cu128.txt + - python/deplocks/llm/rayllm_py311_cu128.lock build_args: - BASE_IMAGE=cr.ray.io/rayproject/ray-py$PYTHON_VERSION-cu$CUDA_VERSION-base tags: diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index bc102a99c74e..1e3246f2a8bc 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -18,7 +18,7 @@ python/ray/llm/ doc/source/llm/ .buildkite/llm.rayci.yml ci/docker/llm.build.Dockerfile -python/requirements_compiled_*.txt +python/deplocks/llm/*.lock @ llm ; diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index e50b8fc4837d..d96df6168dc7 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -32,7 +32,7 @@ depsets: - python/requirements/base-test-requirements.txt constraints: - /tmp/ray-deps/requirements_compiled.txt - output: python/requirements_compiled_ray_test_${PYTHON_VERSION}_${CUDA_CODE}.txt + output: python/deplocks/llm/ray_test_${PYTHON_VERSION}_${CUDA_CODE}.lock operation: compile # Second, expand it into LLM test dependencies. @@ -46,8 +46,8 @@ depsets: - python/requirements/llm/llm-requirements.txt - python/requirements/llm/llm-test-requirements.txt constraints: - - python/requirements_compiled_ray_test_${PYTHON_VERSION}_${CUDA_CODE}.txt - output: python/requirements_compiled_rayllm_test_${PYTHON_VERSION}_${CUDA_CODE}.txt + - python/deplocks/llm/ray_test_${PYTHON_VERSION}_${CUDA_CODE}.lock + output: python/deplocks/llm/rayllm_test_${PYTHON_VERSION}_${CUDA_CODE}.lock # Third, subset the base test dependencies into Ray dependencies. - name: compiled_ray_depset_${PYTHON_VERSION}_${CUDA_CODE} @@ -56,7 +56,7 @@ depsets: source_depset: ray_base_test_depset_${PYTHON_VERSION}_${CUDA_CODE} requirements: - python/requirements.txt - output: python/requirements_compiled_ray_${PYTHON_VERSION}_${CUDA_CODE}.txt + output: python/deplocks/llm/ray_${PYTHON_VERSION}_${CUDA_CODE}.lock # Fourth, subset the LLM test dependencies into RayLLM dependencies. - name: compiled_ray_llm_depset_${PYTHON_VERSION}_${CUDA_CODE} @@ -66,4 +66,4 @@ depsets: requirements: - python/requirements.txt - python/requirements/llm/llm-requirements.txt - output: python/requirements_compiled_rayllm_${PYTHON_VERSION}_${CUDA_CODE}.txt + output: python/deplocks/llm/rayllm_${PYTHON_VERSION}_${CUDA_CODE}.lock diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index d9e08caf3c77..0843b7bcaac4 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -18,7 +18,7 @@ VARIANTS=(cpu cu121 cu128) for LOCK_TYPE in "${LOCK_TYPES[@]}"; do for VARIANT in "${VARIANTS[@]}"; do - cp ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt "$TEMP_DIR/requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}_backup.txt" + cp ./python/deplocks/llm/"${LOCK_TYPE}"_py311_"${VARIANT}".lock "$TEMP_DIR/${LOCK_TYPE}_py311_${VARIANT}_backup.lock" done done @@ -27,7 +27,7 @@ done # Copy files to artifact mount on Buildkite for LOCK_TYPE in "${LOCK_TYPES[@]}"; do for VARIANT in "${VARIANTS[@]}"; do - cp ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt /artifact-mount/ + cp ./python/deplocks/llm/"${LOCK_TYPE}"_py311_"${VARIANT}".lock /artifact-mount/ done done @@ -35,8 +35,8 @@ done FAILED=0 for LOCK_TYPE in "${LOCK_TYPES[@]}"; do for VARIANT in "${VARIANTS[@]}"; do - diff --color -u ./python/requirements_compiled_"${LOCK_TYPE}"_py311_"${VARIANT}".txt "$TEMP_DIR/requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}_backup.txt" || { - echo "requirements_compiled_${LOCK_TYPE}_py311_${VARIANT}.txt is not up to date. Please download it from Artifacts tab and git push the changes." + diff --color -u ./python/deplocks/llm/"${LOCK_TYPE}"_py311_"${VARIANT}".lock "$TEMP_DIR/${LOCK_TYPE}_py311_${VARIANT}_backup.lock" || { + echo "${LOCK_TYPE}_py311_${VARIANT}.lock is not up to date. Please download it from Artifacts tab and git push the changes." FAILED=1 } done diff --git a/doc/source/ray-overview/examples/e2e-audio/requirements.txt b/doc/source/ray-overview/examples/e2e-audio/requirements.txt index 4f2606eeaa9e..0c47ff4c5f00 100644 --- a/doc/source/ray-overview/examples/e2e-audio/requirements.txt +++ b/doc/source/ray-overview/examples/e2e-audio/requirements.txt @@ -1,7 +1,7 @@ # This file is autogenerated by pip-compile with Python 3.10 # by the following command: # -# pip-compile --constraint=python/requirements_compiled_rayllm_py311_cu128.txt --no-annotate --no-emit-index-url --no-emit-trusted-host --output-file=requirements.txt --strip-extras doc/source/ray-overview/examples/e2e-audio/requirements.in +# pip-compile --constraint=python/deplocks/llm/rayllm_py311_cu128.lock --no-annotate --no-emit-index-url --no-emit-trusted-host --output-file=requirements.txt --strip-extras doc/source/ray-overview/examples/e2e-audio/requirements.in # # ... and then slimmed down by Ricardo accelerate==1.7.0 diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index d7038f92b883..e933928bcf10 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -3,7 +3,7 @@ ARG BASE_IMAGE FROM "$BASE_IMAGE" -COPY python/requirements_*.txt ./ +COPY python/deplocks/llm/rayllm_*.lock ./ ARG KVER="5.15.0-139-generic" ARG ROOT_DIR="/usr/local" @@ -28,7 +28,7 @@ fi uv pip install --system --no-cache-dir --no-deps \ --index-strategy unsafe-best-match \ - -r "requirements_compiled_rayllm_${PYTHON_CODE}_${CUDA_CODE}.txt" + -r "rayllm_${PYTHON_CODE}_${CUDA_CODE}.lock" # Export installed packages $HOME/anaconda3/bin/pip freeze > /home/ray/pip-freeze.txt diff --git a/python/requirements_compiled_ray_py311_cpu.txt b/python/deplocks/llm/ray_py311_cpu.lock similarity index 95% rename from python/requirements_compiled_ray_py311_cpu.txt rename to python/deplocks/llm/ray_py311_cpu.lock index ad9a94b18e3b..cd1fdcbbc79f 100644 --- a/python/requirements_compiled_ray_py311_cpu.txt +++ b/python/deplocks/llm/ray_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,51 +92,51 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # aiohttp-cors aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # starlette # watchfiles attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # jsonschema # referencing @@ -144,25 +144,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -218,7 +218,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -312,13 +312,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # celery # click-didyoumean @@ -330,31 +330,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -395,7 +395,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -411,13 +411,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -467,19 +467,19 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -558,13 +558,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # virtualenv frozenlist==1.4.1 \ @@ -646,32 +646,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -730,25 +730,25 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # uvicorn idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # anyio # requests # yarl @@ -756,43 +756,43 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -832,13 +832,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -902,13 +902,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -947,7 +947,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1007,7 +1007,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1101,14 +1101,14 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1148,7 +1148,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # cupy-cuda12x # gymnasium @@ -1162,19 +1162,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1183,32 +1183,32 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opentelemetry-sdk packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # kombu # lazy-loader @@ -1243,7 +1243,7 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -1316,27 +1316,27 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # imageio # scikit-image platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1438,14 +1438,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1460,7 +1460,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -1477,7 +1477,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1523,32 +1523,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # fastapi pydantic-core==2.27.0 \ @@ -1653,32 +1653,32 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pydantic pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1733,27 +1733,27 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # google-api-core rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # memray # typer @@ -1862,14 +1862,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -1894,7 +1894,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1923,64 +1923,64 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # scikit-image shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # fastapi tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # fastapi # gymnasium # opentelemetry-api @@ -1995,25 +1995,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # amqp # celery # kombu @@ -2021,7 +2021,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -2047,13 +2047,13 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2139,11 +2139,11 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # importlib-metadata diff --git a/python/requirements_compiled_ray_py311_cu121.txt b/python/deplocks/llm/ray_py311_cu121.lock similarity index 95% rename from python/requirements_compiled_ray_py311_cu121.txt rename to python/deplocks/llm/ray_py311_cu121.lock index 40b0814f0d07..3417dd6ec83c 100644 --- a/python/requirements_compiled_ray_py311_cu121.txt +++ b/python/deplocks/llm/ray_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,51 +92,51 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # aiohttp-cors aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # starlette # watchfiles attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # jsonschema # referencing @@ -144,25 +144,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -218,7 +218,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -312,13 +312,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # celery # click-didyoumean @@ -330,31 +330,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -395,7 +395,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -411,13 +411,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -467,19 +467,19 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -558,13 +558,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # virtualenv frozenlist==1.4.1 \ @@ -646,32 +646,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -730,25 +730,25 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # uvicorn idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # anyio # requests # yarl @@ -756,43 +756,43 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -832,13 +832,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -902,13 +902,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -947,7 +947,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1007,7 +1007,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1101,14 +1101,14 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1148,7 +1148,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # cupy-cuda12x # gymnasium @@ -1162,19 +1162,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1183,32 +1183,32 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opentelemetry-sdk packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # kombu # lazy-loader @@ -1243,7 +1243,7 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -1316,27 +1316,27 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # imageio # scikit-image platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1438,14 +1438,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1460,7 +1460,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -1477,7 +1477,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1523,32 +1523,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # fastapi pydantic-core==2.27.0 \ @@ -1653,32 +1653,32 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1733,27 +1733,27 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # google-api-core rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # memray # typer @@ -1862,14 +1862,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -1894,7 +1894,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1923,64 +1923,64 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # scikit-image shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # fastapi tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # fastapi # gymnasium # opentelemetry-api @@ -1995,25 +1995,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # amqp # celery # kombu @@ -2021,7 +2021,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -2047,13 +2047,13 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2139,11 +2139,11 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # importlib-metadata diff --git a/python/requirements_compiled_ray_py311_cu128.txt b/python/deplocks/llm/ray_py311_cu128.lock similarity index 95% rename from python/requirements_compiled_ray_py311_cu128.txt rename to python/deplocks/llm/ray_py311_cu128.lock index e03e8073bde2..411cb5498708 100644 --- a/python/requirements_compiled_ray_py311_cu128.txt +++ b/python/deplocks/llm/ray_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt -o python/requirements_compiled_ray_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,51 +92,51 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # aiohttp-cors aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # starlette # watchfiles attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # jsonschema # referencing @@ -144,25 +144,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -218,7 +218,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -312,13 +312,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # celery # click-didyoumean @@ -330,31 +330,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -395,7 +395,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -411,13 +411,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -467,19 +467,19 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -558,13 +558,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # virtualenv frozenlist==1.4.1 \ @@ -646,32 +646,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -730,25 +730,25 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # uvicorn idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # anyio # requests # yarl @@ -756,43 +756,43 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -832,13 +832,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -867,13 +867,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -912,7 +912,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -972,7 +972,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1066,13 +1066,13 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1112,7 +1112,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # cupy-cuda12x # gymnasium @@ -1126,19 +1126,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1147,32 +1147,32 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opentelemetry-sdk packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # kombu # lazy-loader @@ -1207,7 +1207,7 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -1280,27 +1280,27 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # imageio # scikit-image platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1402,14 +1402,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1424,7 +1424,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -1441,7 +1441,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1487,32 +1487,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # fastapi pydantic-core==2.27.0 \ @@ -1617,32 +1617,32 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pydantic pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery # pandas pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1697,27 +1697,27 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # google-api-core rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # memray # typer @@ -1826,14 +1826,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -1858,7 +1858,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1887,63 +1887,63 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # scikit-image shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # fastapi tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # fastapi # gymnasium # opentelemetry-api @@ -1958,25 +1958,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # amqp # celery # kombu @@ -1984,7 +1984,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -2010,13 +2010,13 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # prompt-toolkit yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2102,11 +2102,11 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # importlib-metadata diff --git a/python/requirements_compiled_ray_test_py311_cpu.txt b/python/deplocks/llm/ray_test_py311_cpu.lock similarity index 99% rename from python/requirements_compiled_ray_test_py311_cpu.txt rename to python/deplocks/llm/ray_test_py311_cpu.lock index 6d33de854539..a5778d763b58 100644 --- a/python/requirements_compiled_ray_test_py311_cpu.txt +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/requirements_compiled_ray_test_py311_cu121.txt b/python/deplocks/llm/ray_test_py311_cu121.lock similarity index 99% rename from python/requirements_compiled_ray_test_py311_cu121.txt rename to python/deplocks/llm/ray_test_py311_cu121.lock index 8c0d7d9b187a..9d7dd16bc2b9 100644 --- a/python/requirements_compiled_ray_test_py311_cu121.txt +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/requirements_compiled_ray_test_py311_cu128.txt b/python/deplocks/llm/ray_test_py311_cu128.lock similarity index 99% rename from python/requirements_compiled_ray_test_py311_cu128.txt rename to python/deplocks/llm/ray_test_py311_cu128.lock index b61e16287344..8bde8ef1045a 100644 --- a/python/requirements_compiled_ray_test_py311_cu128.txt +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/requirements_compiled_ray_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/requirements_compiled_rayllm_py311_cpu.txt b/python/deplocks/llm/rayllm_py311_cpu.lock similarity index 95% rename from python/requirements_compiled_rayllm_py311_cpu.txt rename to python/deplocks/llm/rayllm_py311_cpu.lock index 9ba0d45b6817..fafc05f0902e 100644 --- a/python/requirements_compiled_rayllm_py311_cpu.txt +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cpu.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cpu.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,7 +92,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # aiohttp-cors # vllm @@ -100,37 +100,37 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # httpx # openai # starlette @@ -139,13 +139,13 @@ astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ --hash=sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # depyf attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp # jsonschema # referencing @@ -153,7 +153,7 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ @@ -242,13 +242,13 @@ blake3==1.0.4 \ --hash=sha256:fedc326cac4476d2eab88413a4bf56e491040ae11ea98ddadaa5487cecda9b93 \ --hash=sha256:ff0e96f61b16b365ad5bb7c6272754f83d8a59c95d3b2f70c3bb6324ddf5bc0c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-auth # vllm cbor2==5.6.5 \ @@ -297,19 +297,19 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # httpcore # httpx # requests @@ -367,7 +367,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -462,13 +462,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # celery # click-didyoumean @@ -481,38 +481,38 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # gymnasium # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt compressed-tensors==0.10.2 \ --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -553,7 +553,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -569,38 +569,38 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # ray depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm dill==0.3.9 \ --hash=sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a \ --hash=sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # depyf diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # openai dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -650,44 +650,44 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ --hash=sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # email-validator einops==0.8.1 \ --hash=sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737 \ --hash=sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm email-validator==2.2.0 \ --hash=sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631 \ --hash=sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ --hash=sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f \ --hash=sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -766,13 +766,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # huggingface-hub # ray @@ -859,14 +859,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # huggingface-hub # torch @@ -874,25 +874,25 @@ gguf==0.16.2 \ --hash=sha256:0fc956289a30d0f1f3afd75ec0d493f73ae2629a3f21f3846dd1687d8791c7c1 \ --hash=sha256:e73eb19b30fcc7c7f32894345024dda8b1a0c959b94a12b7c40ded8dd3f96810 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -951,19 +951,19 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # httpcore # uvicorn hf-transfer==0.1.9 \ @@ -993,7 +993,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.5 \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ @@ -1005,13 +1005,13 @@ hf-xet==1.1.5 \ --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # huggingface-hub httpcore==1.0.9 \ --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # httpx httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1058,20 +1058,20 @@ httptools==0.6.4 \ --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # uvicorn httpx==0.28.1 \ --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi # openai huggingface-hub==0.34.3 \ --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # tokenizers # transformers # vllm @@ -1079,7 +1079,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # anyio # email-validator # httpx @@ -1089,25 +1089,25 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opentelemetry-api interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # lm-format-enforcer jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi # memray # torch @@ -1189,19 +1189,19 @@ jiter==0.8.2 \ --hash=sha256:fc9043259ee430ecd71d178fccabd8c332a3bf1e81e50cae43cc2b28d19e4cb7 \ --hash=sha256:ffd9fee7d0775ebaba131f7ca2e2d83839a62ad65e8e02fe2bd8fc975cedeb9e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # openai jsonref==1.1.0 \ --hash=sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552 \ --hash=sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common @@ -1210,25 +1210,25 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # scikit-image llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:1895ff449c8ec0a5f1d3b142d723fc9b26a85b021b72d7f1173f8b7507f528c0 \ @@ -1240,7 +1240,7 @@ llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64 --hash=sha256:e4e552eb3193b56ca3347f96c1382779e438b7dfc1d234323e202fd7c7a98d28 \ --hash=sha256:fa8ca0660df03934027b87d7e574edf1f8651493f77c0932f3f66d6effbed2b1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm llvmlite==0.44.0 \ --hash=sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4 \ @@ -1265,13 +1265,13 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # numba lm-format-enforcer==0.10.11 \ --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1311,13 +1311,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # rich markupsafe==2.1.3 \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -1381,13 +1381,13 @@ markupsafe==2.1.3 \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -1426,25 +1426,25 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # sympy msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1504,7 +1504,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -1545,7 +1545,7 @@ msgspec==0.19.0 \ --hash=sha256:f98bd8962ad549c27d63845b50af3f53ec468b6318400c9f1adfe8b092d7b62f \ --hash=sha256:fe2c4bf29bf4e89790b3117470dea2c20b59932772483082c468b990d45fb947 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1639,14 +1639,14 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # scikit-image # torch ninja==1.11.1.3 \ @@ -1668,7 +1668,7 @@ ninja==1.11.1.3 \ --hash=sha256:bc3ebc8b2e47716149f3541742b5cd8e0b08f51013b825c05baca3e34854370d \ --hash=sha256:edfa0d2e9d7ead1635b03e40a32ad56cc8f56798b6e2e9848d8300b174897076 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar @@ -1682,7 +1682,7 @@ nixl==0.4.1 \ --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -1707,7 +1707,7 @@ numba==0.61.2 \ --hash=sha256:ea0247617edcb5dd61f6106a56255baab031acc4257bddaeddb3a1003b4ca3fd \ --hash=sha256:efd3db391df53aaa5cfbee189b6c910a5b471488749fd6606c3f33fc984c2ae2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1747,7 +1747,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -1772,19 +1772,19 @@ openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -1795,14 +1795,14 @@ opencv-python-headless==4.11.0.86 \ --hash=sha256:a66c1b286a9de872c343ee7c3553b084244299714ebb50fbdcd76f07ebbe6c81 \ --hash=sha256:f447d8acbb0b6f2808da71fddd29c1cdd448d2bc98f72d9bb78a7a898fc9621b # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # mistral-common # vllm opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1811,26 +1811,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -1875,13 +1875,13 @@ outlines-core==0.2.10 \ --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # huggingface-hub # kombu @@ -1920,13 +1920,13 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ --hash=sha256:992710ac67e90b367921d52727698928040f7713ba7ecb33b96371ea7aec82ca # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -1999,7 +1999,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # imageio # mistral-common # scikit-image @@ -2009,13 +2009,13 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # prometheus-fastapi-instrumentator @@ -2024,13 +2024,13 @@ prometheus-fastapi-instrumentator==7.0.2 \ --hash=sha256:8a4d8fb13dbe19d2882ac6af9ce236e4e1f98dc48e3fa44fe88d8e23ac3c953f \ --hash=sha256:975e39992acb7a112758ff13ba95317e6c54d1bbf605f9156f31ac9f2800c32d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2132,14 +2132,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -2154,7 +2154,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -2181,13 +2181,13 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -2199,7 +2199,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -2245,20 +2245,20 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-auth pybase64==1.4.1 \ --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ @@ -2405,31 +2405,31 @@ pybase64==1.4.1 \ --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -2541,56 +2541,56 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # celery # pandas python-dotenv==1.0.1 \ --hash=sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca \ --hash=sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # uvicorn python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm python-multipart==0.0.20 \ --hash=sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104 \ --hash=sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -2645,7 +2645,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # gguf # huggingface-hub @@ -2744,13 +2744,13 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -2849,7 +2849,7 @@ regex==2024.11.6 \ --hash=sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9 \ --hash=sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # tiktoken # transformers # vllm @@ -2857,7 +2857,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # google-api-core # huggingface-hub @@ -2870,7 +2870,7 @@ rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # memray # typer @@ -2979,14 +2979,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-auth safetensors==0.5.2 \ --hash=sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975 \ @@ -3005,7 +3005,7 @@ safetensors==0.5.2 \ --hash=sha256:d3a06fae62418ec8e5c635b61a8086032c9e281f16c63c3af46a6efbab33156f \ --hash=sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # transformers scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -3030,7 +3030,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -3059,7 +3059,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # scikit-image # vllm @@ -3118,7 +3118,7 @@ sentencepiece==0.2.0 \ --hash=sha256:fb89f811e5efd18bab141afc3fea3de141c3f69f3fe9e898f710ae7fe3aab251 \ --hash=sha256:ff88712338b01031910e8e61e7239aff3ce8869ee31a47df63cb38aadd591bea # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # gguf # mistral-common # vllm @@ -3126,26 +3126,26 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # anyio # openai soundfile==0.13.1 \ @@ -3158,7 +3158,7 @@ soundfile==0.13.1 \ --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # mistral-common soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -3183,13 +3183,13 @@ soxr==0.5.0.post1 \ --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -3197,19 +3197,19 @@ sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # torch tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -3244,7 +3244,7 @@ tiktoken==0.9.0 \ --hash=sha256:f0968d5beeafbca2a72c595e8385a1a1f8af58feaebb02b227229b69ca5357fd \ --hash=sha256:f32cc56168eac4851109e9b5d327637f15fd662aa30dd79f964b7c39fbadd26e # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # mistral-common # vllm tokenizers==0.21.1 \ @@ -3264,7 +3264,7 @@ tokenizers==0.21.1 \ --hash=sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41 \ --hash=sha256:ed248ab5279e601a30a4d67bdb897ecbe955a50f1e7bb62bd99f07dd11c2f5b6 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # transformers # vllm torch==2.7.1+cpu \ @@ -3288,7 +3288,7 @@ torch==2.7.1+cpu \ --hash=sha256:d25435bdc4780d3cb512aad55142aca9584ae1fe8f8691cda6d32f19faf5d58e \ --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # compressed-tensors # nixl # torchaudio @@ -3310,7 +3310,7 @@ torchaudio==2.7.1+cpu \ --hash=sha256:deb19d2a1cbbe49f9d14a9fe3dce65fef8dd98570aa8b6a65d7f5d1e0d16d0f3 \ --hash=sha256:e169a2b62e55342f2f30e17640054707c8e339045a1ccc2db33517e9debb2767 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm torchvision==0.22.1+cpu \ --hash=sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8 \ @@ -3326,13 +3326,13 @@ torchvision==0.22.1+cpu \ --hash=sha256:c852e61bc903351169017e2e96389f28f6cfb52ca7c3945acceb31e7fe1b21e6 \ --hash=sha256:e31f1273a8dd9760906288036ac3c8f5fef25eed393da0491db150d7be78910d # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # gguf # huggingface-hub # openai @@ -3342,7 +3342,7 @@ transformers==4.53.2 \ --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm @@ -3361,13 +3361,13 @@ triton==3.2.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:f1679fde231fb04c96cb5a01b160c8d0294ce6f7c122565d8b33ad8a910422d7 \ --hash=sha256:f24212d12744266f6229f90f820f34c43a538a69d6511b8e92ee392d2dc0d38b # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # xgrammar typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli @@ -3375,7 +3375,7 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # fastapi # gymnasium # huggingface-hub @@ -3396,19 +3396,19 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -3451,13 +3451,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # amqp # celery # kombu @@ -3465,13 +3465,13 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -3497,7 +3497,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt # uvicorn # vllm @@ -3505,7 +3505,7 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # prompt-toolkit websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ @@ -3578,14 +3578,14 @@ websockets==15.0 \ --hash=sha256:ffc02b159b65c05f2ed9ec176b715b66918a674bd4daed48a9a7a590dd4be1aa \ --hash=sha256:ffc5ae23ada6515f31604f700009e2df90b091b67d463a8401c1d8a37f76c1d7 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # uvicorn xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ @@ -3613,7 +3613,7 @@ xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -3699,13 +3699,13 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_rayllm_test_py311_cpu.txt + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # importlib-metadata # The following packages were excluded from the output: diff --git a/python/requirements_compiled_rayllm_py311_cu121.txt b/python/deplocks/llm/rayllm_py311_cu121.lock similarity index 95% rename from python/requirements_compiled_rayllm_py311_cu121.txt rename to python/deplocks/llm/rayllm_py311_cu121.lock index 4ad206d3186f..4f260cad18b3 100644 --- a/python/requirements_compiled_rayllm_py311_cu121.txt +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cu121.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu121.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,7 +92,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # aiohttp-cors # vllm @@ -100,37 +100,37 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # httpx # openai # starlette @@ -139,13 +139,13 @@ astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ --hash=sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # depyf attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp # jsonschema # referencing @@ -153,7 +153,7 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ @@ -242,13 +242,13 @@ blake3==1.0.4 \ --hash=sha256:fedc326cac4476d2eab88413a4bf56e491040ae11ea98ddadaa5487cecda9b93 \ --hash=sha256:ff0e96f61b16b365ad5bb7c6272754f83d8a59c95d3b2f70c3bb6324ddf5bc0c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-auth # vllm cbor2==5.6.5 \ @@ -297,19 +297,19 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # httpcore # httpx # requests @@ -367,7 +367,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -462,13 +462,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # celery # click-didyoumean @@ -481,38 +481,38 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # gymnasium # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt compressed-tensors==0.10.2 \ --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -553,7 +553,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -569,38 +569,38 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # ray depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm dill==0.3.9 \ --hash=sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a \ --hash=sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # depyf diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # openai dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -650,44 +650,44 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ --hash=sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # email-validator einops==0.8.1 \ --hash=sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737 \ --hash=sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm email-validator==2.2.0 \ --hash=sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631 \ --hash=sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ --hash=sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f \ --hash=sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -766,13 +766,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # huggingface-hub # ray @@ -859,14 +859,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # huggingface-hub # torch @@ -874,25 +874,25 @@ gguf==0.16.2 \ --hash=sha256:0fc956289a30d0f1f3afd75ec0d493f73ae2629a3f21f3846dd1687d8791c7c1 \ --hash=sha256:e73eb19b30fcc7c7f32894345024dda8b1a0c959b94a12b7c40ded8dd3f96810 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -951,19 +951,19 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # httpcore # uvicorn hf-transfer==0.1.9 \ @@ -993,7 +993,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.5 \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ @@ -1005,13 +1005,13 @@ hf-xet==1.1.5 \ --hash=sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23 \ --hash=sha256:fc874b5c843e642f45fd85cda1ce599e123308ad2901ead23d3510a47ff506d1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # huggingface-hub httpcore==1.0.9 \ --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # httpx httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1058,20 +1058,20 @@ httptools==0.6.4 \ --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # uvicorn httpx==0.28.1 \ --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi # openai huggingface-hub==0.34.3 \ --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # tokenizers # transformers # vllm @@ -1079,7 +1079,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # anyio # email-validator # httpx @@ -1089,25 +1089,25 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opentelemetry-api interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # lm-format-enforcer jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi # memray # torch @@ -1189,19 +1189,19 @@ jiter==0.8.2 \ --hash=sha256:fc9043259ee430ecd71d178fccabd8c332a3bf1e81e50cae43cc2b28d19e4cb7 \ --hash=sha256:ffd9fee7d0775ebaba131f7ca2e2d83839a62ad65e8e02fe2bd8fc975cedeb9e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # openai jsonref==1.1.0 \ --hash=sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552 \ --hash=sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common @@ -1210,25 +1210,25 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # scikit-image llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:1895ff449c8ec0a5f1d3b142d723fc9b26a85b021b72d7f1173f8b7507f528c0 \ @@ -1240,7 +1240,7 @@ llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64 --hash=sha256:e4e552eb3193b56ca3347f96c1382779e438b7dfc1d234323e202fd7c7a98d28 \ --hash=sha256:fa8ca0660df03934027b87d7e574edf1f8651493f77c0932f3f66d6effbed2b1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm llvmlite==0.44.0 \ --hash=sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4 \ @@ -1265,13 +1265,13 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # numba lm-format-enforcer==0.10.11 \ --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1311,13 +1311,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # rich markupsafe==2.1.3 \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -1381,13 +1381,13 @@ markupsafe==2.1.3 \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -1426,25 +1426,25 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # sympy msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1504,7 +1504,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -1545,7 +1545,7 @@ msgspec==0.19.0 \ --hash=sha256:f98bd8962ad549c27d63845b50af3f53ec468b6318400c9f1adfe8b092d7b62f \ --hash=sha256:fe2c4bf29bf4e89790b3117470dea2c20b59932772483082c468b990d45fb947 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1639,14 +1639,14 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # scikit-image # torch ninja==1.11.1.3 \ @@ -1668,7 +1668,7 @@ ninja==1.11.1.3 \ --hash=sha256:bc3ebc8b2e47716149f3541742b5cd8e0b08f51013b825c05baca3e34854370d \ --hash=sha256:edfa0d2e9d7ead1635b03e40a32ad56cc8f56798b6e2e9848d8300b174897076 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar @@ -1682,7 +1682,7 @@ nixl==0.4.1 \ --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -1707,7 +1707,7 @@ numba==0.61.2 \ --hash=sha256:ea0247617edcb5dd61f6106a56255baab031acc4257bddaeddb3a1003b4ca3fd \ --hash=sha256:efd3db391df53aaa5cfbee189b6c910a5b471488749fd6606c3f33fc984c2ae2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1747,7 +1747,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -1773,7 +1773,7 @@ nvidia-cublas-cu12==12.6.4.1 ; platform_machine == 'x86_64' and sys_platform == --hash=sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668 \ --hash=sha256:9e4fa264f4d8a4eb0cdbd34beadc029f453b3bafae02401e999cf3d5a5af75f8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch @@ -1784,14 +1784,14 @@ nvidia-cuda-cupti-cu12==12.6.80 ; platform_machine == 'x86_64' and sys_platform --hash=sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73 \ --hash=sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cuda-nvrtc-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53 \ --hash=sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13 \ --hash=sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cuda-runtime-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd \ @@ -1800,14 +1800,14 @@ nvidia-cuda-runtime-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platfor --hash=sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7 \ --hash=sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cudnn-cu12==9.5.1.17 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2 \ --hash=sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def \ --hash=sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cufft-cu12==11.3.0.4 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464 \ @@ -1816,13 +1816,13 @@ nvidia-cufft-cu12==11.3.0.4 ; platform_machine == 'x86_64' and sys_platform == ' --hash=sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5 \ --hash=sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cufile-cu12==1.11.1.6 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db \ --hash=sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-curand-cu12==10.3.7.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905 \ @@ -1831,7 +1831,7 @@ nvidia-curand-cu12==10.3.7.77 ; platform_machine == 'x86_64' and sys_platform == --hash=sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117 \ --hash=sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cusolver-cu12==11.7.1.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0 \ @@ -1840,7 +1840,7 @@ nvidia-cusolver-cu12==11.7.1.2 ; platform_machine == 'x86_64' and sys_platform = --hash=sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e \ --hash=sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-cusparse-cu12==12.5.4.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f \ @@ -1849,7 +1849,7 @@ nvidia-cusparse-cu12==12.5.4.2 ; platform_machine == 'x86_64' and sys_platform = --hash=sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1 \ --hash=sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cusolver-cu12 # torch nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ @@ -1857,20 +1857,20 @@ nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == --hash=sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1 \ --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522 \ --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41 \ --hash=sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c \ --hash=sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 @@ -1882,25 +1882,25 @@ nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'li --hash=sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2 \ --hash=sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -1911,14 +1911,14 @@ opencv-python-headless==4.11.0.86 \ --hash=sha256:a66c1b286a9de872c343ee7c3553b084244299714ebb50fbdcd76f07ebbe6c81 \ --hash=sha256:f447d8acbb0b6f2808da71fddd29c1cdd448d2bc98f72d9bb78a7a898fc9621b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # mistral-common # vllm opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1927,26 +1927,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -1991,13 +1991,13 @@ outlines-core==0.2.10 \ --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # huggingface-hub # kombu @@ -2036,13 +2036,13 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ --hash=sha256:992710ac67e90b367921d52727698928040f7713ba7ecb33b96371ea7aec82ca # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -2115,7 +2115,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # imageio # mistral-common # scikit-image @@ -2125,13 +2125,13 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # prometheus-fastapi-instrumentator @@ -2140,13 +2140,13 @@ prometheus-fastapi-instrumentator==7.0.2 \ --hash=sha256:8a4d8fb13dbe19d2882ac6af9ce236e4e1f98dc48e3fa44fe88d8e23ac3c953f \ --hash=sha256:975e39992acb7a112758ff13ba95317e6c54d1bbf605f9156f31ac9f2800c32d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2248,14 +2248,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -2270,7 +2270,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -2297,13 +2297,13 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -2315,7 +2315,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -2361,20 +2361,20 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-auth pybase64==1.4.1 \ --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ @@ -2521,31 +2521,31 @@ pybase64==1.4.1 \ --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -2657,56 +2657,56 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # celery # pandas python-dotenv==1.0.1 \ --hash=sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca \ --hash=sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # uvicorn python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm python-multipart==0.0.20 \ --hash=sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104 \ --hash=sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -2761,7 +2761,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # gguf # huggingface-hub @@ -2860,13 +2860,13 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -2965,7 +2965,7 @@ regex==2024.11.6 \ --hash=sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9 \ --hash=sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # tiktoken # transformers # vllm @@ -2973,7 +2973,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # google-api-core # huggingface-hub @@ -2986,7 +2986,7 @@ rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # memray # typer @@ -3095,14 +3095,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-auth safetensors==0.5.2 \ --hash=sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975 \ @@ -3121,7 +3121,7 @@ safetensors==0.5.2 \ --hash=sha256:d3a06fae62418ec8e5c635b61a8086032c9e281f16c63c3af46a6efbab33156f \ --hash=sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # transformers scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -3146,7 +3146,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -3175,7 +3175,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # scikit-image # vllm @@ -3234,7 +3234,7 @@ sentencepiece==0.2.0 \ --hash=sha256:fb89f811e5efd18bab141afc3fea3de141c3f69f3fe9e898f710ae7fe3aab251 \ --hash=sha256:ff88712338b01031910e8e61e7239aff3ce8869ee31a47df63cb38aadd591bea # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # gguf # mistral-common # vllm @@ -3242,26 +3242,26 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # anyio # openai soundfile==0.13.1 \ @@ -3274,7 +3274,7 @@ soundfile==0.13.1 \ --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # mistral-common soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -3299,13 +3299,13 @@ soxr==0.5.0.post1 \ --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -3313,19 +3313,19 @@ sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -3360,7 +3360,7 @@ tiktoken==0.9.0 \ --hash=sha256:f0968d5beeafbca2a72c595e8385a1a1f8af58feaebb02b227229b69ca5357fd \ --hash=sha256:f32cc56168eac4851109e9b5d327637f15fd662aa30dd79f964b7c39fbadd26e # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # mistral-common # vllm tokenizers==0.21.1 \ @@ -3380,7 +3380,7 @@ tokenizers==0.21.1 \ --hash=sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41 \ --hash=sha256:ed248ab5279e601a30a4d67bdb897ecbe955a50f1e7bb62bd99f07dd11c2f5b6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # transformers # vllm torch==2.7.1 \ @@ -3409,7 +3409,7 @@ torch==2.7.1 \ --hash=sha256:e0d81e9a12764b6f3879a866607c8ae93113cbcad57ce01ebde63eb48a576369 \ --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # compressed-tensors # nixl # torchaudio @@ -3443,7 +3443,7 @@ torchaudio==2.7.1 \ --hash=sha256:edb4deaa6f95acd5522912ed643303d0b86d79a6f15914362f5a5d49baaf5d13 \ --hash=sha256:f8bd69354a397753b9dea9699d9e1251f8496fbbdf3028c7086a57a615bf33c3 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm torchvision==0.22.1 \ --hash=sha256:043d9e35ed69c2e586aff6eb9e2887382e7863707115668ac9d140da58f42cba \ @@ -3471,13 +3471,13 @@ torchvision==0.22.1 \ --hash=sha256:ef46e065502f7300ad6abc98554131c35dc4c837b978d91306658f1a65c00baa \ --hash=sha256:ef7dee376f42900c0e7b0e34624f391d9ece70ab90ee74b42de0c1fffe371284 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # gguf # huggingface-hub # openai @@ -3487,7 +3487,7 @@ transformers==4.53.2 \ --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm @@ -3495,14 +3495,14 @@ transformers==4.53.2 \ triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch # xgrammar typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli @@ -3510,7 +3510,7 @@ typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # fastapi # gymnasium # huggingface-hub @@ -3531,19 +3531,19 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -3586,13 +3586,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # amqp # celery # kombu @@ -3600,13 +3600,13 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -3632,7 +3632,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt # uvicorn # vllm @@ -3640,7 +3640,7 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # prompt-toolkit websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ @@ -3713,14 +3713,14 @@ websockets==15.0 \ --hash=sha256:ffc02b159b65c05f2ed9ec176b715b66918a674bd4daed48a9a7a590dd4be1aa \ --hash=sha256:ffc5ae23ada6515f31604f700009e2df90b091b67d463a8401c1d8a37f76c1d7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # uvicorn xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ @@ -3748,7 +3748,7 @@ xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -3834,13 +3834,13 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_rayllm_test_py311_cu121.txt + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # importlib-metadata # The following packages were excluded from the output: diff --git a/python/requirements_compiled_rayllm_py311_cu128.txt b/python/deplocks/llm/rayllm_py311_cu128.lock similarity index 95% rename from python/requirements_compiled_rayllm_py311_cu128.txt rename to python/deplocks/llm/rayllm_py311_cu128.lock index 47338e202f4b..48efbd5be7dd 100644 --- a/python/requirements_compiled_rayllm_py311_cu128.txt +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_rayllm_test_py311_cu128.txt python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/requirements_compiled_rayllm_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu128.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -7,7 +7,7 @@ aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -92,7 +92,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # aiohttp-cors # vllm @@ -100,37 +100,37 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # httpx # openai # starlette @@ -139,13 +139,13 @@ astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ --hash=sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # depyf attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp # jsonschema # referencing @@ -153,7 +153,7 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery blake3==1.0.5 \ --hash=sha256:03638a6dc8546365c3576fdb293fb2c53b898ac80525b5742d9cf00b4f44dea5 \ @@ -242,13 +242,13 @@ blake3==1.0.5 \ --hash=sha256:fe333852c5bbafd7735d36da2d60d44a022247bd180f2c43facb2585134c1792 \ --hash=sha256:feb0d1558d720a476f888566ddf2faf91d9147ada9261f3ccf11400ca3798661 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-auth # vllm cbor2==5.6.5 \ @@ -297,19 +297,19 @@ cbor2==5.6.5 \ --hash=sha256:fde21ac1cf29336a31615a2c469a9cb03cf0add3ae480672d4d38cda467d07fc \ --hash=sha256:fe11c2eb518c882cfbeed456e7a552e544893c17db66fe5d3230dbeaca6b615c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # httpcore # httpx # requests @@ -367,7 +367,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -462,13 +462,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # celery # click-didyoumean @@ -481,38 +481,38 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # gymnasium # vllm colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt compressed-tensors==0.10.2 \ --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -553,7 +553,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -569,38 +569,38 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # ray depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ --hash=sha256:afed0916b32d141cc90fa6220df01885eda442ca43b297d5050eeb90b4a5cb44 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm dill==0.4.0 \ --hash=sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0 \ --hash=sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # depyf diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # openai dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -650,44 +650,44 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ --hash=sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # email-validator einops==0.8.1 \ --hash=sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737 \ --hash=sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm email-validator==2.2.0 \ --hash=sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631 \ --hash=sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ --hash=sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f \ --hash=sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -766,13 +766,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # huggingface-hub # ray @@ -859,14 +859,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # huggingface-hub # torch @@ -874,25 +874,25 @@ gguf==0.17.0 \ --hash=sha256:52f2759c6e0ab3d228d4d44f871e3eb140004712c31aed72e2ae82f61aa5aa05 \ --hash=sha256:e3f88278e6f6778e0348fbc97313a4a2f8af63b08fe25dc381251d9c611dae03 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -951,19 +951,19 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # httpcore # uvicorn hf-transfer==0.1.9 \ @@ -993,7 +993,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt hf-xet==1.1.3 \ --hash=sha256:30c575a5306f8e6fda37edb866762140a435037365eba7a17ce7bd0bc0216a8b \ @@ -1005,13 +1005,13 @@ hf-xet==1.1.3 \ --hash=sha256:c3b508b5f583a75641aebf732853deb058953370ce8184f5dabc49f803b0819b \ --hash=sha256:fd2da210856444a34aad8ada2fc12f70dabed7cc20f37e90754d1d9b43bc0534 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # huggingface-hub httpcore==1.0.9 \ --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # httpx httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1058,20 +1058,20 @@ httptools==0.6.4 \ --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # uvicorn httpx==0.28.1 \ --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi # openai huggingface-hub==0.34.3 \ --hash=sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492 \ --hash=sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # tokenizers # transformers # vllm @@ -1079,7 +1079,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # anyio # email-validator # httpx @@ -1089,25 +1089,25 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # scikit-image importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opentelemetry-api interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ --hash=sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # lm-format-enforcer jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi # memray # torch @@ -1190,19 +1190,19 @@ jiter==0.10.0 \ --hash=sha256:fcedb049bdfc555e261d6f65a6abe1d5ad68825b7202ccb9692636c70fcced86 \ --hash=sha256:ff76d8887c8c8ee1e772274fcf8cc1071c2c58590d13e33bd12d02dc9a560397 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # openai jsonref==1.1.0 \ --hash=sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552 \ --hash=sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # mistral-common @@ -1211,25 +1211,25 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ --hash=sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # scikit-image llguidance==0.7.29 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:17fd439957d6ca5f459d0dec755a2d040c2dc946ed7e3c332b469ef6861292f8 \ @@ -1241,7 +1241,7 @@ llguidance==0.7.29 ; platform_machine == 'aarch64' or platform_machine == 'arm64 --hash=sha256:c97f16ddd6be28f4d176eaaa493102b981ba5470299253903de9a764e2501ef3 \ --hash=sha256:d1aa68a54f9496d36750018e7edad3bf624ee2fbcf671a7483883790d798c4fe # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm llvmlite==0.44.0 \ --hash=sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4 \ @@ -1266,13 +1266,13 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # numba lm-format-enforcer==0.10.11 \ --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1312,13 +1312,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # rich markupsafe==2.1.3 \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -1347,13 +1347,13 @@ markupsafe==2.1.3 \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # jinja2 mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -1392,24 +1392,24 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ --hash=sha256:f118aa910fc0a137cc2dd0122232dbf82153d9a12fb5b0f5bb64896f6a157abf # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt mistral-common==1.8.3 \ --hash=sha256:0d1979d82227b625f6d71b3c828176f059da8d0f5a3307cdf53b48409a3970a4 \ --hash=sha256:846b6e4bbe016dc2e64fd3169fa704a548f6c74467e0cb18dc165b7a7669abd6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm mpmath==1.3.0 \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # sympy msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1469,7 +1469,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -1510,7 +1510,7 @@ msgspec==0.19.0 \ --hash=sha256:f98bd8962ad549c27d63845b50af3f53ec468b6318400c9f1adfe8b092d7b62f \ --hash=sha256:fe2c4bf29bf4e89790b3117470dea2c20b59932772483082c468b990d45fb947 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1604,13 +1604,13 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp # yarl networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # scikit-image # torch ninja==1.11.1.4 \ @@ -1632,7 +1632,7 @@ ninja==1.11.1.4 \ --hash=sha256:ecce44a00325a93631792974659cf253a815cc6da4ec96f89742925dfc295a0d \ --hash=sha256:f6186d7607bb090c3be1e10c8a56b690be238f953616626f5032238c66e56867 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt # vllm # xgrammar @@ -1646,7 +1646,7 @@ nixl==0.4.1 \ --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \ --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -1671,7 +1671,7 @@ numba==0.61.2 \ --hash=sha256:ea0247617edcb5dd61f6106a56255baab031acc4257bddaeddb3a1003b4ca3fd \ --hash=sha256:efd3db391df53aaa5cfbee189b6c910a5b471488749fd6606c3f33fc984c2ae2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -1711,7 +1711,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -1735,70 +1735,70 @@ numpy==1.26.4 \ nvidia-cublas-cu12==12.8.3.14 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:3f0e05e7293598cf61933258b73e66a160c27d59c4422670bf0b79348c04be44 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch nvidia-cuda-cupti-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:8e0b2eb847de260739bee4a3f66fac31378f4ff49538ff527a38a01a9a39f950 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cuda-nvrtc-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:a0fa9c2a21583105550ebd871bd76e2037205d56f33f128e69f6d2a55e0af9ed # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cuda-runtime-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:75342e28567340b7428ce79a5d6bb6ca5ff9d07b69e7ce00d2c7b4dc23eff0be # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cudnn-cu12==9.7.1.26 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:6d011159a158f3cfc47bf851aea79e31bcff60d530b70ef70474c84cac484d07 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cufft-cu12==11.3.3.41 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:da650080ab79fcdf7a4b06aa1b460e99860646b176a43f6208099bdc17836b6a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cufile-cu12==1.13.0.11 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:483f434c541806936b98366f6d33caef5440572de8ddf38d453213729da3e7d4 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-curand-cu12==10.3.9.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:8387d974240c91f6a60b761b83d4b2f9b938b7e0b9617bae0f0dafe4f5c36b86 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cusolver-cu12==11.7.2.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:4d1354102f1e922cee9db51920dba9e2559877cf6ff5ad03a00d853adafb191b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-cusparse-cu12==12.5.7.53 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:3c1b61eb8c85257ea07e9354606b26397612627fdcd327bfd91ccf6155e7c86d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cusolver-cu12 # torch nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch nvidia-nvjitlink-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 @@ -1806,25 +1806,25 @@ nvidia-nvjitlink-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform = nvidia-nvtx-cu12==12.8.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:2dd0780f1a55c21d8e06a743de5bd95653de630decfff40621dbde78cc307102 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -1835,14 +1835,14 @@ opencv-python-headless==4.11.0.86 \ --hash=sha256:a66c1b286a9de872c343ee7c3553b084244299714ebb50fbdcd76f07ebbe6c81 \ --hash=sha256:f447d8acbb0b6f2808da71fddd29c1cdd448d2bc98f72d9bb78a7a898fc9621b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # mistral-common # vllm opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -1851,26 +1851,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -1915,13 +1915,13 @@ outlines-core==0.2.10 \ --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # huggingface-hub # kombu @@ -1960,13 +1960,13 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ --hash=sha256:992710ac67e90b367921d52727698928040f7713ba7ecb33b96371ea7aec82ca # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -2039,7 +2039,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # imageio # mistral-common # scikit-image @@ -2049,13 +2049,13 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # prometheus-fastapi-instrumentator @@ -2064,13 +2064,13 @@ prometheus-fastapi-instrumentator==7.1.0 \ --hash=sha256:978130f3c0bb7b8ebcc90d35516a6fe13e02d2eb358c8f83887cdef7020c31e9 \ --hash=sha256:be7cd61eeea4e5912aeccb4261c6631b3f227d8924542d79eaf5af3f439cbe5e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -2172,14 +2172,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -2194,7 +2194,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -2221,13 +2221,13 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ @@ -2239,7 +2239,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -2285,20 +2285,20 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-auth pybase64==1.4.1 \ --hash=sha256:011a54ff6ca44c5d03746aec3f1f492fce3155bd3f943fb2ceaea92416d40eeb \ @@ -2445,31 +2445,31 @@ pybase64==1.4.1 \ --hash=sha256:fc9504c4c2e893e0a6c1cc80bce51907e3461288289f630eab22b5735eba1104 \ --hash=sha256:ff172a4dacbd964e5edcf1c2152dae157aabf856508aed15276f46d04a22128e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm pybind11==2.13.6 \ --hash=sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5 \ --hash=sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt pycountry==24.6.1 \ --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \ --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pydantic-extra-types pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # cffi pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -2581,56 +2581,56 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ --hash=sha256:b60c4e23d573a69a4f1a16dd92888ecc0ef34fb0e655b4f305530377fa70e7a8 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # mistral-common pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # celery # pandas python-dotenv==1.1.0 \ --hash=sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5 \ --hash=sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # uvicorn python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm python-multipart==0.0.20 \ --hash=sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104 \ --hash=sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -2685,7 +2685,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # gguf # huggingface-hub @@ -2784,13 +2784,13 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -2889,7 +2889,7 @@ regex==2024.11.6 \ --hash=sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9 \ --hash=sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # tiktoken # transformers # vllm @@ -2897,7 +2897,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # google-api-core # huggingface-hub @@ -2910,7 +2910,7 @@ rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # memray # typer @@ -3019,14 +3019,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-auth safetensors==0.5.3 \ --hash=sha256:1077f3e94182d72618357b04b5ced540ceb71c8a813d3319f1aba448e68a770d \ @@ -3045,7 +3045,7 @@ safetensors==0.5.3 \ --hash=sha256:cfc0ec0846dcf6763b0ed3d1846ff36008c6e7290683b61616c4b040f6a54ace \ --hash=sha256:df26da01aaac504334644e1b7642fa000bfec820e7cef83aeac4e355e03195ff # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # transformers scikit-image==0.24.0 \ --hash=sha256:18836a18d3a7b6aca5376a2d805f0045826bc6c9fc85331659c33b4813e0b563 \ @@ -3070,7 +3070,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -3099,7 +3099,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # scikit-image # vllm @@ -3158,7 +3158,7 @@ sentencepiece==0.2.0 \ --hash=sha256:fb89f811e5efd18bab141afc3fea3de141c3f69f3fe9e898f710ae7fe3aab251 \ --hash=sha256:ff88712338b01031910e8e61e7239aff3ce8869ee31a47df63cb38aadd591bea # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # gguf # mistral-common # vllm @@ -3166,26 +3166,26 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # anyio # openai soundfile==0.13.1 \ @@ -3198,7 +3198,7 @@ soundfile==0.13.1 \ --hash=sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b \ --hash=sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # mistral-common soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -3223,13 +3223,13 @@ soxr==0.5.0.post1 \ --hash=sha256:fcc049b0a151a65aa75b92f0ac64bb2dba785d16b78c31c2b94e68c141751d6d \ --hash=sha256:fef509466c9c25f65eae0ce1e4b9ac9705d22c6038c914160ddaf459589c6e31 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # mistral-common starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -3237,19 +3237,19 @@ sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -3284,7 +3284,7 @@ tiktoken==0.9.0 \ --hash=sha256:f0968d5beeafbca2a72c595e8385a1a1f8af58feaebb02b227229b69ca5357fd \ --hash=sha256:f32cc56168eac4851109e9b5d327637f15fd662aa30dd79f964b7c39fbadd26e # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # mistral-common # vllm tokenizers==0.21.1 \ @@ -3304,7 +3304,7 @@ tokenizers==0.21.1 \ --hash=sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41 \ --hash=sha256:ed248ab5279e601a30a4d67bdb897ecbe955a50f1e7bb62bd99f07dd11c2f5b6 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # transformers # vllm torch==2.7.1+cu128 \ @@ -3327,7 +3327,7 @@ torch==2.7.1+cu128 \ --hash=sha256:e27e5f7e74179fb5d814a0412e5026e4b50c9e0081e9050bc4c28c992a276eb1 \ --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # compressed-tensors # nixl # torchaudio @@ -3349,7 +3349,7 @@ torchaudio==2.7.1+cu128 \ --hash=sha256:b1e56a999a06a5deaebfb991dc676aaa60d98139907d99badbc6dca6456637ee \ --hash=sha256:cb435329019d441d8177db2d84e8d397881896d100efb4f4c15f0d3732f92a81 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm torchvision==0.22.1+cu128 \ --hash=sha256:02faf51fbf5070592768fa935327d13a484b745faef38b0fee01d85cfb35f5bc \ @@ -3365,13 +3365,13 @@ torchvision==0.22.1+cu128 \ --hash=sha256:eb784cc75a66f3336a04ff3a992bf74160842132db69e8bdbb58b5ab9422c345 \ --hash=sha256:f64ef9bb91d71ab35d8384912a19f7419e35928685bc67544d58f45148334373 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # gguf # huggingface-hub # openai @@ -3381,7 +3381,7 @@ transformers==4.53.2 \ --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm @@ -3389,21 +3389,21 @@ transformers==4.53.2 \ triton==3.3.1 ; sys_platform == 'linux' \ --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch # xgrammar typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # fastapi # gymnasium # huggingface-hub @@ -3424,19 +3424,19 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -3479,13 +3479,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # amqp # celery # kombu @@ -3493,13 +3493,13 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -3525,7 +3525,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt # uvicorn # vllm @@ -3533,7 +3533,7 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # prompt-toolkit websockets==15.0.1 \ --hash=sha256:0701bc3cfcb9164d04a14b149fd74be7347a530ad3bbf15ab2c678a2cd3dd9a2 \ @@ -3606,12 +3606,12 @@ websockets==15.0.1 \ --hash=sha256:f7a866fbc1e97b5c617ee4116daaa09b722101d4a3c170c787450ba409f9736f \ --hash=sha256:fcd5cf9e305d7b8338754470cf69cf81f420459dbae8a3b40cee57417f4614a7 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # uvicorn xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ @@ -3639,7 +3639,7 @@ xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -3725,13 +3725,13 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_rayllm_test_py311_cu128.txt + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # importlib-metadata # The following packages were excluded from the output: diff --git a/python/requirements_compiled_rayllm_test_py311_cpu.txt b/python/deplocks/llm/rayllm_test_py311_cpu.lock similarity index 95% rename from python/requirements_compiled_rayllm_test_py311_cpu.txt rename to python/deplocks/llm/rayllm_test_py311_cpu.lock index bcacf5033722..d52e9ae3b25a 100644 --- a/python/requirements_compiled_rayllm_test_py311_cpu.txt +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cpu.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cpu.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -7,13 +7,13 @@ aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ypy-websocket aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -98,7 +98,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt @@ -109,25 +109,25 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp aiosqlite==0.19.0 \ --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ypy-websocket alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ @@ -137,19 +137,19 @@ amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # httpx # jupyter-server # openai @@ -159,7 +159,7 @@ argon2-cffi==23.1.0 \ --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server # nbclassic # notebook @@ -186,13 +186,13 @@ argon2-cffi-bindings==21.2.0 \ --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # argon2-cffi arrow==1.3.0 \ --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # isoduration astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ @@ -202,13 +202,13 @@ asttokens==2.4.1 \ --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # stack-data attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # jsonschema # referencing @@ -216,13 +216,13 @@ azure-common==1.1.28 \ --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # smart-open azure-core==1.29.5 \ --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-identity # azure-storage-blob # smart-open @@ -230,26 +230,26 @@ azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab-server # sphinx backcall==0.2.0 \ --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython backoff==2.2.1 \ --hash=sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba \ @@ -259,13 +259,13 @@ beautifulsoup4==4.11.1 \ --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ @@ -358,20 +358,20 @@ bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert boto3==1.26.76 \ --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # boto3 # s3transfer @@ -379,7 +379,7 @@ cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth # vllm cbor2==5.6.5 \ @@ -432,13 +432,13 @@ celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # httpcore # httpx @@ -497,7 +497,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # argon2-cffi-bindings # cryptography # soundfile @@ -593,13 +593,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # celery @@ -613,32 +613,32 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gymnasium # vllm colorama==0.4.6 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # halo # log-symbols @@ -646,13 +646,13 @@ colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt comm==0.2.0 \ --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # ipywidgets compressed-tensors==0.10.2 \ @@ -698,7 +698,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-identity # azure-storage-blob # msal @@ -718,7 +718,7 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # ray debugpy==1.8.0 \ @@ -741,19 +741,19 @@ debugpy==1.8.0 \ --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ @@ -771,7 +771,7 @@ distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ @@ -825,7 +825,7 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ @@ -847,26 +847,26 @@ entrypoints==0.4 \ --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-client # nbconvert executing==2.0.1 \ --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # stack-data farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ @@ -877,7 +877,7 @@ fastjsonschema==2.19.0 \ --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbformat fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -956,13 +956,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # huggingface-hub # ray @@ -974,7 +974,7 @@ fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ @@ -1055,14 +1055,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # huggingface-hub # torch @@ -1074,19 +1074,19 @@ gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gitpython gitpython==3.1.44 \ --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-cloud-core # google-cloud-storage # opencensus @@ -1094,7 +1094,7 @@ google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # google-api-core # google-cloud-core @@ -1103,13 +1103,13 @@ google-cloud-core==2.4.1 \ --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-cloud-storage google-cloud-storage==2.14.0 \ --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # smart-open google-crc32c==1.5.0 \ @@ -1182,20 +1182,20 @@ google-crc32c==1.5.0 \ --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-cloud-storage # google-resumable-media google-resumable-media==2.6.0 \ --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-cloud-storage googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -1254,7 +1254,7 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools @@ -1308,26 +1308,26 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # httpcore # uvicorn halo==0.0.31 \ --hash=sha256:5350488fb7d2aa7c31a1344120cee67a872901ce8858f60da7946cef96c208ab \ --hash=sha256:7b67a3521ee91d53b7152d4ee3452811e1d2a6321975137762eb3d70063cc9d6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt hf-transfer==0.1.9 \ --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ @@ -1374,7 +1374,7 @@ httplib2==0.20.4 \ --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # oauth2client httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1439,13 +1439,13 @@ humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # anyio # email-validator # httpx @@ -1456,7 +1456,7 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image imagesize==1.4.1 \ --hash=sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b \ @@ -1466,13 +1466,13 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opentelemetry-api iniconfig==2.0.0 \ --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pytest interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ @@ -1482,14 +1482,14 @@ ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbclassic # notebook ipython==8.12.3 \ --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # ipywidgets # jupyterlab @@ -1497,38 +1497,38 @@ ipython-genutils==0.2.0 \ --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbclassic # notebook ipywidgets==8.1.3 \ --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt isodate==0.6.1 \ --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema jedi==0.19.1 \ --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # fastapi # jupyter-server # jupyterlab @@ -1621,26 +1621,26 @@ jmespath==1.0.1 \ --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # boto3 # botocore json5==0.9.14 \ --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab-server jsonpatch==1.32 \ --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt jsonpointer==2.4 \ --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonpatch # jsonschema jsonref==1.1.0 \ @@ -1651,7 +1651,7 @@ jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt @@ -1664,13 +1664,13 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema jupyter-client==7.3.4 \ --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # jupyter-server # nbclassic @@ -1680,7 +1680,7 @@ jupyter-core==5.5.0 \ --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # jupyter-client # jupyter-server @@ -1693,13 +1693,13 @@ jupyter-events==0.6.3 \ --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server-fileid jupyter-server==1.24.0 \ --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server-fileid # jupyterlab # jupyterlab-server @@ -1709,44 +1709,44 @@ jupyter-server-fileid==0.9.0 \ --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server-ydoc jupyter-server-ydoc==0.6.1 \ --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab jupyter-ydoc==0.2.5 \ --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server-ydoc # jupyterlab jupyterlab==3.6.1 \ --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt jupyterlab-pygments==0.3.0 \ --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert jupyterlab-server==2.24.0 \ --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab jupyterlab-widgets==3.0.11 \ --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipywidgets jupytext==1.16.7 \ --hash=sha256:912f9d9af7bd3f15470105e5c5dddf1669b2d8c17f0c55772687fc5a4a73fe69 \ @@ -1756,7 +1756,7 @@ kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ @@ -1766,7 +1766,7 @@ lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:1895ff449c8ec0a5f1d3b142d723fc9b26a85b021b72d7f1173f8b7507f528c0 \ @@ -1809,7 +1809,7 @@ log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # halo lxml==4.9.4 \ --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ @@ -1906,7 +1906,7 @@ lxml==4.9.4 \ --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1946,13 +1946,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupytext # mdit-py-plugins # rich @@ -2018,14 +2018,14 @@ markupsafe==2.1.3 \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jinja2 # nbconvert matplotlib-inline==0.1.6 \ --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # ipython mdit-py-plugins==0.4.2 \ @@ -2036,7 +2036,7 @@ mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -2075,7 +2075,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ @@ -2089,7 +2089,7 @@ mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ @@ -2099,14 +2099,14 @@ msal==1.28.1 \ --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -2166,7 +2166,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -2299,27 +2299,27 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # yarl nbclassic==1.0.0 \ --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab # notebook nbclient==0.5.13 \ --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert nbconvert==6.5.4 \ --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server # nbclassic # notebook @@ -2327,7 +2327,7 @@ nbformat==5.9.2 \ --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server # jupytext # nbclassic @@ -2338,7 +2338,7 @@ nest-asyncio==1.5.8 \ --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # jupyter-client # nbclassic @@ -2348,7 +2348,7 @@ networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image # torch ninja==1.11.1.3 \ @@ -2387,13 +2387,13 @@ notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyterlab notebook-shim==0.2.3 \ --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbclassic numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -2456,7 +2456,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -2485,7 +2485,7 @@ oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ @@ -2495,13 +2495,13 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -2518,7 +2518,7 @@ opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -2527,26 +2527,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -2595,7 +2595,7 @@ packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # huggingface-hub @@ -2643,19 +2643,19 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pandocfilters==1.5.0 \ --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert parso==0.8.3 \ --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jedi partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ @@ -2665,19 +2665,19 @@ pathspec==0.11.2 \ --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt pexpect==4.8.0 ; sys_platform != 'win32' \ --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython pickleshare==0.7.5 \ --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -2750,7 +2750,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/llm/llm-test-requirements.txt # imageio # mistral-common @@ -2761,26 +2761,26 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-core # virtualenv pluggy==1.3.0 \ --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pytest portalocker==2.8.2 \ --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # jupyter-server # nbclassic @@ -2796,7 +2796,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # click-repl # ipython propcache==0.3.0 \ @@ -2899,14 +2899,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -2921,7 +2921,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -2949,21 +2949,21 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # vllm ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pexpect # terminado pure-eval==0.2.2 \ --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # stack-data py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ @@ -2979,7 +2979,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -3025,13 +3025,13 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # oauth2client # pyasn1-modules # rsa @@ -3039,7 +3039,7 @@ pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth # oauth2client pybase64==1.4.1 \ @@ -3199,7 +3199,7 @@ pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # cffi pycurl==7.45.3 \ --hash=sha256:0c41a172d5e8a5cdd8328cc8134f47b2a57960ac677f7cda8520eaa9fbe7d990 \ @@ -3239,13 +3239,13 @@ pycurl==7.45.3 \ --hash=sha256:fa7751b614d9aa82d7a0f49ca90924c29c6cedf85a2f8687fb6a772dbfe48711 \ --hash=sha256:fbd4a6b8654b779089c5a44af1c65c1419c2cd60718780df6d8f354eb35d6d55 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -3357,7 +3357,7 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ @@ -3367,7 +3367,7 @@ pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython # nbconvert # rich @@ -3376,7 +3376,7 @@ pyjwt==2.8.0 \ --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ @@ -3386,20 +3386,20 @@ pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt pyparsing==3.1.1 \ --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # httplib2 pytest==7.4.4 \ --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/base-test-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # pytest-aiohttp @@ -3408,20 +3408,20 @@ pytest-aiohttp==1.1.0 \ --hash=sha256:147de8cb164f3fc9d7196967f109ab3c0b93ea3463ab50631e56438eab7b5adc \ --hash=sha256:f39a11693a0dce08dd6c542d241e199dd8047a6e6596b2bcfa60d373f143456d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/base-test-requirements.txt pytest-asyncio==0.17.2 \ --hash=sha256:6d895b02432c028e6957d25fc936494e78c6305736e785d9fee408b1efbc7ff4 \ --hash=sha256:e0fe5dbea40516b661ef1bcfe0bd9461c2847c4ef4bb40012324f2454fb7d56d # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/base-test-requirements.txt # pytest-aiohttp python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # arrow # botocore @@ -3436,7 +3436,7 @@ python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-events # vllm python-multipart==0.0.20 \ @@ -3447,7 +3447,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -3502,7 +3502,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # gguf @@ -3604,7 +3604,7 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # jupyter-client # jupyter-server @@ -3615,7 +3615,7 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -3721,7 +3721,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core @@ -3741,21 +3741,21 @@ rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # jupyter-events rfc3986-validator==0.1.1 \ --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # jupyter-events rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # memray @@ -3865,21 +3865,21 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth # oauth2client s3transfer==0.6.2 \ --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # boto3 safetensors==0.5.2 \ --hash=sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975 \ @@ -3921,7 +3921,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -3950,7 +3950,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # scikit-image # vllm @@ -3958,7 +3958,7 @@ send2trash==1.8.3 \ --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server # nbclassic # notebook @@ -4024,13 +4024,13 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # asttokens # azure-core @@ -4045,20 +4045,20 @@ smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt smmap==5.0.1 \ --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # anyio # openai snowballstemmer==2.2.0 \ @@ -4079,7 +4079,7 @@ soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # beautifulsoup4 soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -4136,19 +4136,19 @@ spinners==0.0.24 \ --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # halo stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipython starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -4160,25 +4160,25 @@ tabulate==0.9.0 \ --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt termcolor==2.4.0 \ --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # halo terminado==0.18.1 \ --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server # nbclassic # notebook @@ -4186,7 +4186,7 @@ tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -4227,7 +4227,7 @@ tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ @@ -4347,7 +4347,7 @@ tornado==6.1 \ --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # jupyter-client # jupyter-server @@ -4359,7 +4359,7 @@ tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # gguf # huggingface-hub @@ -4370,7 +4370,7 @@ traitlets==5.14.3 \ --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # comm # ipykernel # ipython @@ -4411,7 +4411,7 @@ typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli @@ -4419,13 +4419,13 @@ types-python-dateutil==2.9.0.20240316 \ --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # arrow typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # azure-core # azure-identity # azure-storage-blob @@ -4449,25 +4449,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt uri-template==1.3.0 \ --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # botocore # requests @@ -4475,7 +4475,7 @@ uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -4522,7 +4522,7 @@ vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # amqp # celery # kombu @@ -4530,7 +4530,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ @@ -4560,7 +4560,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt # uvicorn # vllm @@ -4568,26 +4568,26 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # prompt-toolkit webcolors==24.6.0 \ --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema webencodings==0.5.1 \ --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # bleach # tinycss2 websocket-client==1.8.0 \ --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ @@ -4664,7 +4664,7 @@ widgetsnbextension==4.0.11 \ --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipywidgets wrapt==1.14.1 \ --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ @@ -4742,7 +4742,7 @@ wrapt==1.14.1 \ --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ @@ -4853,7 +4853,7 @@ y-py==0.6.2 \ --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-ydoc # ypy-websocket yarl==1.18.3 \ @@ -4940,19 +4940,19 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp ypy-websocket==0.8.4 \ --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # jupyter-server-ydoc zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cpu.txt + # -c python/deplocks/llm/ray_test_py311_cpu.lock # importlib-metadata # The following packages were excluded from the output: diff --git a/python/requirements_compiled_rayllm_test_py311_cu121.txt b/python/deplocks/llm/rayllm_test_py311_cu121.lock similarity index 95% rename from python/requirements_compiled_rayllm_test_py311_cu121.txt rename to python/deplocks/llm/rayllm_test_py311_cu121.lock index 70d213fe4e0c..eea2023989b0 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu121.txt +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu121.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu121.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -7,13 +7,13 @@ aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ypy-websocket aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -98,7 +98,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt @@ -109,25 +109,25 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp aiosqlite==0.19.0 \ --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ypy-websocket alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ @@ -137,19 +137,19 @@ amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # httpx # jupyter-server # openai @@ -159,7 +159,7 @@ argon2-cffi==23.1.0 \ --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server # nbclassic # notebook @@ -186,13 +186,13 @@ argon2-cffi-bindings==21.2.0 \ --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # argon2-cffi arrow==1.3.0 \ --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # isoduration astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ @@ -202,13 +202,13 @@ asttokens==2.4.1 \ --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # stack-data attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # jsonschema # referencing @@ -216,13 +216,13 @@ azure-common==1.1.28 \ --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # smart-open azure-core==1.29.5 \ --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-identity # azure-storage-blob # smart-open @@ -230,26 +230,26 @@ azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab-server # sphinx backcall==0.2.0 \ --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython backoff==2.2.1 \ --hash=sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba \ @@ -259,13 +259,13 @@ beautifulsoup4==4.11.1 \ --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery blake3==1.0.4 \ --hash=sha256:00605aa59923205c6a4f21131840840eb2d9a754c59b163357d890566755b97a \ @@ -358,20 +358,20 @@ bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert boto3==1.26.76 \ --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # boto3 # s3transfer @@ -379,7 +379,7 @@ cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth # vllm cbor2==5.6.5 \ @@ -432,13 +432,13 @@ celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # httpcore # httpx @@ -497,7 +497,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # argon2-cffi-bindings # cryptography # soundfile @@ -593,13 +593,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # celery @@ -613,32 +613,32 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gymnasium # vllm colorama==0.4.6 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # halo # log-symbols @@ -646,13 +646,13 @@ colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt comm==0.2.0 \ --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # ipywidgets compressed-tensors==0.10.2 \ @@ -698,7 +698,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-identity # azure-storage-blob # msal @@ -718,7 +718,7 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # ray debugpy==1.8.0 \ @@ -741,19 +741,19 @@ debugpy==1.8.0 \ --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ @@ -771,7 +771,7 @@ distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ @@ -825,7 +825,7 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ @@ -847,26 +847,26 @@ entrypoints==0.4 \ --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-client # nbconvert executing==2.0.1 \ --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # stack-data farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ @@ -877,7 +877,7 @@ fastjsonschema==2.19.0 \ --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbformat fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -956,13 +956,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # huggingface-hub # ray @@ -974,7 +974,7 @@ fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ @@ -1055,14 +1055,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # huggingface-hub # torch @@ -1074,19 +1074,19 @@ gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gitpython gitpython==3.1.44 \ --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-cloud-core # google-cloud-storage # opencensus @@ -1094,7 +1094,7 @@ google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # google-api-core # google-cloud-core @@ -1103,13 +1103,13 @@ google-cloud-core==2.4.1 \ --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-cloud-storage google-cloud-storage==2.14.0 \ --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # smart-open google-crc32c==1.5.0 \ @@ -1182,20 +1182,20 @@ google-crc32c==1.5.0 \ --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-cloud-storage # google-resumable-media google-resumable-media==2.6.0 \ --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-cloud-storage googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -1254,7 +1254,7 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools @@ -1308,26 +1308,26 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # httpcore # uvicorn halo==0.0.31 \ --hash=sha256:5350488fb7d2aa7c31a1344120cee67a872901ce8858f60da7946cef96c208ab \ --hash=sha256:7b67a3521ee91d53b7152d4ee3452811e1d2a6321975137762eb3d70063cc9d6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt hf-transfer==0.1.9 \ --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ @@ -1374,7 +1374,7 @@ httplib2==0.20.4 \ --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # oauth2client httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1439,13 +1439,13 @@ humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # anyio # email-validator # httpx @@ -1456,7 +1456,7 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image imagesize==1.4.1 \ --hash=sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b \ @@ -1466,13 +1466,13 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opentelemetry-api iniconfig==2.0.0 \ --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pytest interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ @@ -1482,14 +1482,14 @@ ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbclassic # notebook ipython==8.12.3 \ --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # ipywidgets # jupyterlab @@ -1497,38 +1497,38 @@ ipython-genutils==0.2.0 \ --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbclassic # notebook ipywidgets==8.1.3 \ --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt isodate==0.6.1 \ --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema jedi==0.19.1 \ --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # fastapi # jupyter-server # jupyterlab @@ -1621,26 +1621,26 @@ jmespath==1.0.1 \ --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # boto3 # botocore json5==0.9.14 \ --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab-server jsonpatch==1.32 \ --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt jsonpointer==2.4 \ --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonpatch # jsonschema jsonref==1.1.0 \ @@ -1651,7 +1651,7 @@ jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt @@ -1664,13 +1664,13 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema jupyter-client==7.3.4 \ --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # jupyter-server # nbclassic @@ -1680,7 +1680,7 @@ jupyter-core==5.5.0 \ --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # jupyter-client # jupyter-server @@ -1693,13 +1693,13 @@ jupyter-events==0.6.3 \ --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server-fileid jupyter-server==1.24.0 \ --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server-fileid # jupyterlab # jupyterlab-server @@ -1709,44 +1709,44 @@ jupyter-server-fileid==0.9.0 \ --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server-ydoc jupyter-server-ydoc==0.6.1 \ --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab jupyter-ydoc==0.2.5 \ --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server-ydoc # jupyterlab jupyterlab==3.6.1 \ --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt jupyterlab-pygments==0.3.0 \ --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert jupyterlab-server==2.24.0 \ --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab jupyterlab-widgets==3.0.11 \ --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipywidgets jupytext==1.16.7 \ --hash=sha256:912f9d9af7bd3f15470105e5c5dddf1669b2d8c17f0c55772687fc5a4a73fe69 \ @@ -1756,7 +1756,7 @@ kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ @@ -1766,7 +1766,7 @@ lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image llguidance==0.7.26 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:1895ff449c8ec0a5f1d3b142d723fc9b26a85b021b72d7f1173f8b7507f528c0 \ @@ -1809,7 +1809,7 @@ log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # halo lxml==4.9.4 \ --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ @@ -1906,7 +1906,7 @@ lxml==4.9.4 \ --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1946,13 +1946,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupytext # mdit-py-plugins # rich @@ -2018,14 +2018,14 @@ markupsafe==2.1.3 \ --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jinja2 # nbconvert matplotlib-inline==0.1.6 \ --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # ipython mdit-py-plugins==0.4.2 \ @@ -2036,7 +2036,7 @@ mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -2075,7 +2075,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ @@ -2089,7 +2089,7 @@ mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert mpmath==1.3.0 \ --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ @@ -2099,14 +2099,14 @@ msal==1.28.1 \ --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -2166,7 +2166,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -2299,27 +2299,27 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # yarl nbclassic==1.0.0 \ --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab # notebook nbclient==0.5.13 \ --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert nbconvert==6.5.4 \ --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server # nbclassic # notebook @@ -2327,7 +2327,7 @@ nbformat==5.9.2 \ --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server # jupytext # nbclassic @@ -2338,7 +2338,7 @@ nest-asyncio==1.5.8 \ --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # jupyter-client # nbclassic @@ -2348,7 +2348,7 @@ networkx==3.2.1 \ --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image # torch ninja==1.11.1.3 \ @@ -2387,13 +2387,13 @@ notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyterlab notebook-shim==0.2.3 \ --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbclassic numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -2456,7 +2456,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -2576,7 +2576,7 @@ oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ @@ -2586,13 +2586,13 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -2609,7 +2609,7 @@ opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -2618,26 +2618,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -2686,7 +2686,7 @@ packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # huggingface-hub @@ -2734,19 +2734,19 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pandocfilters==1.5.0 \ --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert parso==0.8.3 \ --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jedi partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ @@ -2756,19 +2756,19 @@ pathspec==0.11.2 \ --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt pexpect==4.8.0 ; sys_platform != 'win32' \ --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython pickleshare==0.7.5 \ --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -2841,7 +2841,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/llm/llm-test-requirements.txt # imageio # mistral-common @@ -2852,26 +2852,26 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-core # virtualenv pluggy==1.3.0 \ --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pytest portalocker==2.8.2 \ --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # jupyter-server # nbclassic @@ -2887,7 +2887,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # click-repl # ipython propcache==0.3.0 \ @@ -2990,14 +2990,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -3012,7 +3012,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -3040,21 +3040,21 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # vllm ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pexpect # terminado pure-eval==0.2.2 \ --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # stack-data py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ @@ -3070,7 +3070,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -3116,13 +3116,13 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # oauth2client # pyasn1-modules # rsa @@ -3130,7 +3130,7 @@ pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth # oauth2client pybase64==1.4.1 \ @@ -3290,7 +3290,7 @@ pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # cffi pycurl==7.45.3 \ --hash=sha256:0c41a172d5e8a5cdd8328cc8134f47b2a57960ac677f7cda8520eaa9fbe7d990 \ @@ -3330,13 +3330,13 @@ pycurl==7.45.3 \ --hash=sha256:fa7751b614d9aa82d7a0f49ca90924c29c6cedf85a2f8687fb6a772dbfe48711 \ --hash=sha256:fbd4a6b8654b779089c5a44af1c65c1419c2cd60718780df6d8f354eb35d6d55 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -3448,7 +3448,7 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ @@ -3458,7 +3458,7 @@ pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython # nbconvert # rich @@ -3467,7 +3467,7 @@ pyjwt==2.8.0 \ --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ @@ -3477,20 +3477,20 @@ pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt pyparsing==3.1.1 \ --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # httplib2 pytest==7.4.4 \ --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/base-test-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # pytest-aiohttp @@ -3499,20 +3499,20 @@ pytest-aiohttp==1.1.0 \ --hash=sha256:147de8cb164f3fc9d7196967f109ab3c0b93ea3463ab50631e56438eab7b5adc \ --hash=sha256:f39a11693a0dce08dd6c542d241e199dd8047a6e6596b2bcfa60d373f143456d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/base-test-requirements.txt pytest-asyncio==0.17.2 \ --hash=sha256:6d895b02432c028e6957d25fc936494e78c6305736e785d9fee408b1efbc7ff4 \ --hash=sha256:e0fe5dbea40516b661ef1bcfe0bd9461c2847c4ef4bb40012324f2454fb7d56d # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/base-test-requirements.txt # pytest-aiohttp python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # arrow # botocore @@ -3527,7 +3527,7 @@ python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-events # vllm python-multipart==0.0.20 \ @@ -3538,7 +3538,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -3593,7 +3593,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # gguf @@ -3695,7 +3695,7 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # jupyter-client # jupyter-server @@ -3706,7 +3706,7 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -3812,7 +3812,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core @@ -3832,21 +3832,21 @@ rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # jupyter-events rfc3986-validator==0.1.1 \ --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # jupyter-events rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # memray @@ -3956,21 +3956,21 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth # oauth2client s3transfer==0.6.2 \ --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # boto3 safetensors==0.5.2 \ --hash=sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975 \ @@ -4012,7 +4012,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -4041,7 +4041,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # scikit-image # vllm @@ -4049,7 +4049,7 @@ send2trash==1.8.3 \ --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server # nbclassic # notebook @@ -4115,13 +4115,13 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # asttokens # azure-core @@ -4136,20 +4136,20 @@ smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt smmap==5.0.1 \ --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # anyio # openai snowballstemmer==2.2.0 \ @@ -4170,7 +4170,7 @@ soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # beautifulsoup4 soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -4227,19 +4227,19 @@ spinners==0.0.24 \ --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # halo stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipython starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -4251,25 +4251,25 @@ tabulate==0.9.0 \ --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt termcolor==2.4.0 \ --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # halo terminado==0.18.1 \ --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server # nbclassic # notebook @@ -4277,7 +4277,7 @@ tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -4318,7 +4318,7 @@ tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ @@ -4467,7 +4467,7 @@ tornado==6.1 \ --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # jupyter-client # jupyter-server @@ -4479,7 +4479,7 @@ tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # gguf # huggingface-hub @@ -4490,7 +4490,7 @@ traitlets==5.14.3 \ --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # comm # ipykernel # ipython @@ -4522,7 +4522,7 @@ typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli @@ -4530,13 +4530,13 @@ types-python-dateutil==2.9.0.20240316 \ --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # arrow typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # azure-core # azure-identity # azure-storage-blob @@ -4560,25 +4560,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt uri-template==1.3.0 \ --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # botocore # requests @@ -4586,7 +4586,7 @@ uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -4633,7 +4633,7 @@ vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # amqp # celery # kombu @@ -4641,7 +4641,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ @@ -4671,7 +4671,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # uvicorn # vllm @@ -4679,26 +4679,26 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # prompt-toolkit webcolors==24.6.0 \ --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema webencodings==0.5.1 \ --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # bleach # tinycss2 websocket-client==1.8.0 \ --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server websockets==15.0 \ --hash=sha256:0e389efe46ccb25a1f93d08c7a74e8123a2517f7b7458f043bd7529d1a63ffeb \ @@ -4775,7 +4775,7 @@ widgetsnbextension==4.0.11 \ --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipywidgets wrapt==1.14.1 \ --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ @@ -4853,7 +4853,7 @@ wrapt==1.14.1 \ --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ @@ -4964,7 +4964,7 @@ y-py==0.6.2 \ --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-ydoc # ypy-websocket yarl==1.18.3 \ @@ -5051,19 +5051,19 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp ypy-websocket==0.8.4 \ --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # jupyter-server-ydoc zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cu121.txt + # -c python/deplocks/llm/ray_test_py311_cu121.lock # importlib-metadata # The following packages were excluded from the output: diff --git a/python/requirements_compiled_rayllm_test_py311_cu128.txt b/python/deplocks/llm/rayllm_test_py311_cu128.lock similarity index 95% rename from python/requirements_compiled_rayllm_test_py311_cu128.txt rename to python/deplocks/llm/rayllm_test_py311_cu128.lock index c8ee9734ba19..f750627c7e8a 100644 --- a/python/requirements_compiled_rayllm_test_py311_cu128.txt +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/requirements_compiled_ray_test_py311_cu128.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/requirements_compiled_rayllm_test_py311_cu128.txt +# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -7,13 +7,13 @@ aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ypy-websocket aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -98,7 +98,7 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt @@ -109,25 +109,25 @@ aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt aiorwlock==1.3.0 \ --hash=sha256:45baf8e4fa9a23e0bb325fbd67da80de1fd7ae1d4f59a6381754c60cec7b289b \ --hash=sha256:83f12d87df4b9728a0b8fda1756585ab0d652b107bab59c6084e1b1ad692ab45 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp aiosqlite==0.19.0 \ --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ypy-websocket alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ @@ -137,19 +137,19 @@ amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # httpx # jupyter-server # openai @@ -159,7 +159,7 @@ argon2-cffi==23.1.0 \ --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server # nbclassic # notebook @@ -186,13 +186,13 @@ argon2-cffi-bindings==21.2.0 \ --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # argon2-cffi arrow==1.3.0 \ --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # isoduration astor==0.8.1 \ --hash=sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5 \ @@ -202,13 +202,13 @@ asttokens==2.4.1 \ --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # stack-data attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # jsonschema # referencing @@ -216,13 +216,13 @@ azure-common==1.1.28 \ --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # smart-open azure-core==1.29.5 \ --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-identity # azure-storage-blob # smart-open @@ -230,26 +230,26 @@ azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab-server # sphinx backcall==0.2.0 \ --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython backoff==2.2.1 \ --hash=sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba \ @@ -259,13 +259,13 @@ beautifulsoup4==4.11.1 \ --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery blake3==1.0.5 \ --hash=sha256:03638a6dc8546365c3576fdb293fb2c53b898ac80525b5742d9cf00b4f44dea5 \ @@ -358,20 +358,20 @@ bleach==6.1.0 \ --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert boto3==1.26.76 \ --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # smart-open botocore==1.29.76 \ --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # boto3 # s3transfer @@ -379,7 +379,7 @@ cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth # vllm cbor2==5.6.5 \ @@ -432,13 +432,13 @@ celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # httpcore # httpx @@ -497,7 +497,7 @@ cffi==1.16.0 \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # argon2-cffi-bindings # cryptography # soundfile @@ -593,13 +593,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # celery @@ -613,31 +613,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gymnasium # vllm colorama==0.4.6 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # halo # log-symbols @@ -645,13 +645,13 @@ colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt comm==0.2.0 \ --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # ipywidgets compressed-tensors==0.10.2 \ @@ -697,7 +697,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-identity # azure-storage-blob # msal @@ -717,7 +717,7 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # ray debugpy==1.8.0 \ @@ -740,19 +740,19 @@ debugpy==1.8.0 \ --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert depyf==0.19.0 \ --hash=sha256:040b35fc0997d49df024b7d094f2a7836f91e9ed02f49982dd37e70aa3285ad5 \ @@ -770,7 +770,7 @@ distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # virtualenv distro==1.9.0 \ --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ @@ -824,7 +824,7 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt dnspython==2.7.0 \ --hash=sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86 \ @@ -846,26 +846,26 @@ entrypoints==0.4 \ --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-client # nbconvert executing==2.0.1 \ --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # stack-data farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # vllm fastapi-cli==0.0.5 \ @@ -876,7 +876,7 @@ fastjsonschema==2.19.0 \ --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbformat fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -955,13 +955,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # huggingface-hub # ray @@ -973,7 +973,7 @@ fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ @@ -1054,14 +1054,14 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # aiosignal fsspec==2023.5.0 \ --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # huggingface-hub # torch @@ -1073,19 +1073,19 @@ gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gitpython gitpython==3.1.44 \ --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-cloud-core # google-cloud-storage # opencensus @@ -1093,7 +1093,7 @@ google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # google-api-core # google-cloud-core @@ -1102,13 +1102,13 @@ google-cloud-core==2.4.1 \ --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-cloud-storage google-cloud-storage==2.14.0 \ --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # smart-open google-crc32c==1.5.0 \ @@ -1181,20 +1181,20 @@ google-crc32c==1.5.0 \ --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-cloud-storage # google-resumable-media google-resumable-media==2.6.0 \ --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-cloud-storage googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core grpcio==1.66.2 \ --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ @@ -1253,7 +1253,7 @@ grpcio==1.66.2 \ --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # grpcio-tools @@ -1307,26 +1307,26 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # httpcore # uvicorn halo==0.0.31 \ --hash=sha256:5350488fb7d2aa7c31a1344120cee67a872901ce8858f60da7946cef96c208ab \ --hash=sha256:7b67a3521ee91d53b7152d4ee3452811e1d2a6321975137762eb3d70063cc9d6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt hf-transfer==0.1.9 \ --hash=sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf \ @@ -1373,7 +1373,7 @@ httplib2==0.20.4 \ --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # oauth2client httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -1438,13 +1438,13 @@ humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # anyio # email-validator # httpx @@ -1455,7 +1455,7 @@ imageio==2.34.2 \ --hash=sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e \ --hash=sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image imagesize==1.4.1 \ --hash=sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b \ @@ -1465,13 +1465,13 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opentelemetry-api iniconfig==2.0.0 \ --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pytest interegular==0.3.3 \ --hash=sha256:b0c07007d48c89d6d19f7204972d369b2a77222722e126b6aa63aa721dc3b19c \ @@ -1481,14 +1481,14 @@ ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbclassic # notebook ipython==8.12.3 \ --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # ipywidgets # jupyterlab @@ -1496,38 +1496,38 @@ ipython-genutils==0.2.0 \ --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbclassic # notebook ipywidgets==8.1.3 \ --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt isodate==0.6.1 \ --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema jedi==0.19.1 \ --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # fastapi # jupyter-server # jupyterlab @@ -1621,26 +1621,26 @@ jmespath==1.0.1 \ --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # boto3 # botocore json5==0.9.14 \ --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab-server jsonpatch==1.32 \ --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt jsonpointer==2.4 \ --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonpatch # jsonschema jsonref==1.1.0 \ @@ -1651,7 +1651,7 @@ jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt @@ -1664,13 +1664,13 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema jupyter-client==7.3.4 \ --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # jupyter-server # nbclassic @@ -1680,7 +1680,7 @@ jupyter-core==5.5.0 \ --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # jupyter-client # jupyter-server @@ -1693,13 +1693,13 @@ jupyter-events==0.6.3 \ --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server-fileid jupyter-server==1.24.0 \ --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server-fileid # jupyterlab # jupyterlab-server @@ -1709,44 +1709,44 @@ jupyter-server-fileid==0.9.0 \ --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server-ydoc jupyter-server-ydoc==0.6.1 \ --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab jupyter-ydoc==0.2.5 \ --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server-ydoc # jupyterlab jupyterlab==3.6.1 \ --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt jupyterlab-pygments==0.3.0 \ --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert jupyterlab-server==2.24.0 \ --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab jupyterlab-widgets==3.0.11 \ --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipywidgets jupytext==1.17.2 \ --hash=sha256:4f85dc43bb6a24b75491c5c434001ad5ef563932f68f15dd3e1c8ce12a4a426b \ @@ -1756,7 +1756,7 @@ kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # celery lark==1.2.2 \ --hash=sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c \ @@ -1766,7 +1766,7 @@ lazy-loader==0.4 \ --hash=sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc \ --hash=sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image llguidance==0.7.29 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:17fd439957d6ca5f459d0dec755a2d040c2dc946ed7e3c332b469ef6861292f8 \ @@ -1809,7 +1809,7 @@ log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # halo lxml==4.9.4 \ --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ @@ -1906,7 +1906,7 @@ lxml==4.9.4 \ --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -1946,13 +1946,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt markdown-it-py==2.2.0 \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupytext # mdit-py-plugins # rich @@ -1983,14 +1983,14 @@ markupsafe==2.1.3 \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jinja2 # nbconvert matplotlib-inline==0.1.6 \ --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # ipython mdit-py-plugins==0.4.2 \ @@ -2001,7 +2001,7 @@ mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -2040,7 +2040,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt meson==1.8.3 \ --hash=sha256:ef02b806ce0c5b6becd5bb5dc9fa67662320b29b337e7ace73e4354500590233 \ @@ -2054,7 +2054,7 @@ mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert mpmath==1.3.0 \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c @@ -2063,14 +2063,14 @@ msal==1.28.1 \ --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -2130,7 +2130,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # ray msgspec==0.19.0 \ @@ -2263,27 +2263,27 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # yarl nbclassic==1.0.0 \ --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab # notebook nbclient==0.5.13 \ --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert nbconvert==6.5.4 \ --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server # nbclassic # notebook @@ -2291,7 +2291,7 @@ nbformat==5.9.2 \ --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server # jupytext # nbclassic @@ -2302,7 +2302,7 @@ nest-asyncio==1.5.8 \ --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # jupyter-client # nbclassic @@ -2311,7 +2311,7 @@ nest-asyncio==1.5.8 \ networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image # torch ninja==1.11.1.4 \ @@ -2350,13 +2350,13 @@ notebook==6.5.7 \ --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyterlab notebook-shim==0.2.3 \ --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbclassic numba==0.61.2 \ --hash=sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2 \ @@ -2419,7 +2419,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # cupy-cuda12x # gguf @@ -2499,7 +2499,7 @@ oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt openai==1.90.0 \ --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ @@ -2509,13 +2509,13 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opencensus opencv-python-headless==4.11.0.86 \ --hash=sha256:0e0a27c19dd1f40ddff94976cfe43066fbbe9dfbb2ec1907d66c19caef42a57b \ @@ -2532,7 +2532,7 @@ opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk @@ -2541,26 +2541,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # opentelemetry-exporter-prometheus opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # opentelemetry-sdk outlines-core==0.2.10 \ --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ @@ -2609,7 +2609,7 @@ packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # huggingface-hub @@ -2657,19 +2657,19 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pandocfilters==1.5.0 \ --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert parso==0.8.3 \ --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jedi partial-json-parser==0.2.1.1.post5 \ --hash=sha256:627715aaa3cb3fb60a65b0d62223243acaa6c70846520a90326fef3a2f0b61ca \ @@ -2679,19 +2679,19 @@ pathspec==0.11.2 \ --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt pexpect==4.8.0 ; sys_platform != 'win32' \ --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython pickleshare==0.7.5 \ --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -2764,7 +2764,7 @@ pillow==10.3.0 \ --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/llm/llm-test-requirements.txt # imageio # mistral-common @@ -2775,26 +2775,26 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-core # virtualenv pluggy==1.3.0 \ --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pytest portalocker==2.8.2 \ --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # msal-extensions prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # jupyter-server # nbclassic @@ -2810,7 +2810,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # click-repl # ipython propcache==0.3.0 \ @@ -2913,14 +2913,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -2935,7 +2935,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # google-api-core # googleapis-common-protos @@ -2963,21 +2963,21 @@ psutil==5.9.6 \ --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # vllm ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pexpect # terminado pure-eval==0.2.2 \ --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # stack-data py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ @@ -2993,7 +2993,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -3039,13 +3039,13 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # oauth2client # pyasn1-modules # rsa @@ -3053,7 +3053,7 @@ pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth # oauth2client pybase64==1.4.1 \ @@ -3213,7 +3213,7 @@ pycparser==2.21 \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # cffi pycurl==7.45.3 \ --hash=sha256:0c41a172d5e8a5cdd8328cc8134f47b2a57960ac677f7cda8520eaa9fbe7d990 \ @@ -3253,13 +3253,13 @@ pycurl==7.45.3 \ --hash=sha256:fa7751b614d9aa82d7a0f49ca90924c29c6cedf85a2f8687fb6a772dbfe48711 \ --hash=sha256:fbd4a6b8654b779089c5a44af1c65c1419c2cd60718780df6d8f354eb35d6d55 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt pydantic==2.10.0 \ --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # compressed-tensors # fastapi @@ -3371,7 +3371,7 @@ pydantic-core==2.27.0 \ --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pydantic pydantic-extra-types==2.10.5 \ --hash=sha256:1dcfa2c0cf741a422f088e0dbb4690e7bfadaaf050da3d6f80d6c3cf58a2bad8 \ @@ -3381,7 +3381,7 @@ pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython # nbconvert # rich @@ -3390,7 +3390,7 @@ pyjwt==2.8.0 \ --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # msal pynvml==12.0.0 \ --hash=sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5 \ @@ -3400,20 +3400,20 @@ pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt pyparsing==3.1.1 \ --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # httplib2 pytest==7.4.4 \ --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/base-test-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # pytest-aiohttp @@ -3422,20 +3422,20 @@ pytest-aiohttp==1.1.0 \ --hash=sha256:147de8cb164f3fc9d7196967f109ab3c0b93ea3463ab50631e56438eab7b5adc \ --hash=sha256:f39a11693a0dce08dd6c542d241e199dd8047a6e6596b2bcfa60d373f143456d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/base-test-requirements.txt pytest-asyncio==0.17.2 \ --hash=sha256:6d895b02432c028e6957d25fc936494e78c6305736e785d9fee408b1efbc7ff4 \ --hash=sha256:e0fe5dbea40516b661ef1bcfe0bd9461c2847c4ef4bb40012324f2454fb7d56d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/base-test-requirements.txt # pytest-aiohttp python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # arrow # botocore @@ -3450,7 +3450,7 @@ python-json-logger==2.0.7 \ --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-events # vllm python-multipart==0.0.20 \ @@ -3461,7 +3461,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -3516,7 +3516,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # gguf @@ -3618,7 +3618,7 @@ pyzmq==26.0.3 \ --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # jupyter-client # jupyter-server @@ -3629,7 +3629,7 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # jsonschema-specifications regex==2024.11.6 \ @@ -3735,7 +3735,7 @@ requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core @@ -3755,21 +3755,21 @@ rfc3339-validator==0.1.4 \ --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # jupyter-events rfc3986-validator==0.1.1 \ --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # jupyter-events rich==13.3.2 \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # memray @@ -3879,21 +3879,21 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth # oauth2client s3transfer==0.6.2 \ --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # boto3 safetensors==0.5.3 \ --hash=sha256:1077f3e94182d72618357b04b5ced540ceb71c8a813d3319f1aba448e68a770d \ @@ -3935,7 +3935,7 @@ scikit-image==0.24.0 \ --hash=sha256:ef04360eda372ee5cd60aebe9be91258639c86ae2ea24093fb9182118008d009 \ --hash=sha256:fa27b3a0dbad807b966b8db2d78da734cb812ca4787f7fbb143764800ce2fa9c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -3964,7 +3964,7 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # scikit-image # vllm @@ -3972,7 +3972,7 @@ send2trash==1.8.3 \ --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server # nbclassic # notebook @@ -4038,13 +4038,13 @@ shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # typer six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # asttokens # azure-core @@ -4059,20 +4059,20 @@ smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt smmap==5.0.1 \ --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # anyio # openai snowballstemmer==3.0.1 \ @@ -4093,7 +4093,7 @@ soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # beautifulsoup4 soxr==0.5.0.post1 \ --hash=sha256:39e0f791ba178d69cd676485dbee37e75a34f20daa478d90341ecb7f6d9d690f \ @@ -4150,19 +4150,19 @@ spinners==0.0.24 \ --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # halo stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipython starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # fastapi # prometheus-fastapi-instrumentator @@ -4174,25 +4174,25 @@ tabulate==0.9.0 \ --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt termcolor==2.4.0 \ --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # halo terminado==0.18.1 \ --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server # nbclassic # notebook @@ -4200,7 +4200,7 @@ tifffile==2024.7.21 \ --hash=sha256:7f335b5d6ca49401fe0f1d87deb206f5dae47297e47b1ed52a676d05d6d26798 \ --hash=sha256:818b577d49350421fb511f389f937984f9feaa2cd8177fa00823001920bf3483 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # scikit-image tiktoken==0.9.0 \ --hash=sha256:03935988a91d6d3216e2ec7c645afbb3d870b37bcb67ada1943ec48678e7ee33 \ @@ -4241,7 +4241,7 @@ tinycss2==1.3.0 \ --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert tokenizers==0.21.1 \ --hash=sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382 \ @@ -4360,7 +4360,7 @@ tornado==6.1 \ --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # jupyter-client # jupyter-server @@ -4372,7 +4372,7 @@ tqdm==4.67.1 \ --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # gguf # huggingface-hub @@ -4383,7 +4383,7 @@ traitlets==5.14.3 \ --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # comm # ipykernel # ipython @@ -4415,7 +4415,7 @@ typer==0.12.3 \ --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt # -r python/requirements.txt # fastapi-cli @@ -4423,12 +4423,12 @@ types-python-dateutil==2.9.0.20240316 \ --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # arrow typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # azure-core # azure-identity # azure-storage-blob @@ -4452,25 +4452,25 @@ tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # kombu tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt uri-template==1.3.0 \ --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # botocore # requests @@ -4478,7 +4478,7 @@ uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # fastapi # fastapi-cli @@ -4525,7 +4525,7 @@ vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # amqp # celery # kombu @@ -4533,7 +4533,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt vllm==0.10.0 \ --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ @@ -4563,7 +4563,7 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # uvicorn # vllm @@ -4571,26 +4571,26 @@ wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # prompt-toolkit webcolors==24.6.0 \ --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema webencodings==0.5.1 \ --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # bleach # tinycss2 websocket-client==1.8.0 \ --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server websockets==15.0.1 \ --hash=sha256:0701bc3cfcb9164d04a14b149fd74be7347a530ad3bbf15ab2c678a2cd3dd9a2 \ @@ -4667,7 +4667,7 @@ widgetsnbextension==4.0.11 \ --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipywidgets wrapt==1.14.1 \ --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ @@ -4745,7 +4745,7 @@ wrapt==1.14.1 \ --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a @@ -4854,7 +4854,7 @@ y-py==0.6.2 \ --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-ydoc # ypy-websocket yarl==1.18.3 \ @@ -4941,19 +4941,19 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp ypy-websocket==0.8.4 \ --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # jupyter-server-ydoc zipp==3.19.2 \ --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled_ray_test_py311_cu128.txt + # -c python/deplocks/llm/ray_test_py311_cu128.lock # importlib-metadata # The following packages were excluded from the output: From 373e9d470e494b677fb712eb6e08e212aa6b46b7 Mon Sep 17 00:00:00 2001 From: Yevet Date: Mon, 25 Aug 2025 22:19:12 -0700 Subject: [PATCH 0858/1566] Add GKE GPU compat paths to ray image: PATH, LD_LIBRARY_PATH (temporarily) (#55569) The ray base image does not include the GPU operator compatibility paths included in the [runtime image](https://hub.docker.com/layers/nvidia/cuda/12.8.0-runtime-ubuntu22.04/images/sha256-80c946064fc2db73957af8fa6a7a8bec3e3fd3241d130fb668cad6a62510aeda). Temporarily fix GPU detection problem on GPU for basic ray image. This is a follow up for https://github.com/ray-project/ray/issues/54551 --------- Signed-off-by: Yiwen Xiang Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 13 ++++++++++++- docker/ray-llm/Dockerfile | 14 ++------------ 2 files changed, 14 insertions(+), 13 deletions(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 1320aed23d53..2857ec1cb34f 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -9,8 +9,19 @@ FROM ${BASE_IMAGE} ENV TZ=America/Los_Angeles ENV LC_ALL=C.UTF-8 ENV LANG=C.UTF-8 + # TODO(ilr) $HOME seems to point to result in "" instead of "/home/ray" -ENV PATH "/home/ray/anaconda3/bin:$PATH" +# Q: Why add paths like /usr/local/nvidia/lib64 and /usr/local/nvidia/bin? +# A: The NVIDIA GPU operator version used by GKE injects these into the container +# after it's mounted to a pod. +# Issue is tracked here: +# https://github.com/GoogleCloudPlatform/compute-gpu-installation/issues/46 +# More context here: +# https://github.com/NVIDIA/nvidia-container-toolkit/issues/275 +# and here: +# https://gitlab.com/nvidia/container-images/cuda/-/issues/27 +ENV PATH "/home/ray/anaconda3/bin:$PATH:/usr/local/nvidia/bin" +ENV LD_LIBRARY_PATH "$LD_LIBRARY_PATH:/usr/local/nvidia/lib64" ARG DEBIAN_FRONTEND=noninteractive ARG PYTHON_VERSION=3.9 diff --git a/docker/ray-llm/Dockerfile b/docker/ray-llm/Dockerfile index e933928bcf10..554466d3a7a8 100644 --- a/docker/ray-llm/Dockerfile +++ b/docker/ray-llm/Dockerfile @@ -190,16 +190,6 @@ sudo apt-get clean EOF -# Q: Why add paths that don't exist in the base image, like /usr/local/nvidia/lib64 -# and /usr/local/nvidia/bin? -# A: The NVIDIA GPU operator version used by GKE injects these into the container -# after it's mounted to a pod. -# Issue is tracked here: -# https://github.com/GoogleCloudPlatform/compute-gpu-installation/issues/46 -# More context here: -# https://github.com/NVIDIA/nvidia-container-toolkit/issues/275 -# and here: -# https://gitlab.com/nvidia/container-images/cuda/-/issues/27 -ENV PATH="${PATH}:${UCX_HOME}/bin:${NIXL_HOME}/bin:/usr/local/nvidia/bin" -ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:${UCX_HOME}/lib:${NIXL_HOME}/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64" +ENV PATH="${PATH}:${UCX_HOME}/bin:${NIXL_HOME}/bin" +ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:${UCX_HOME}/lib:${NIXL_HOME}/lib/x86_64-linux-gnu" ENV NIXL_PLUGIN_DIR="${NIXL_HOME}/lib/x86_64-linux-gnu/plugins/" From 34016c1d14ac59d58d494736069e60cdd3f2989a Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 25 Aug 2025 23:06:24 -0700 Subject: [PATCH 0859/1566] [ci] removing python 3.13 wheel verification for mac (#55907) removing python 3.13 wheel verification for macos due to this bug: https://github.com/ray-project/ray/issues/54047 Signed-off-by: elliot-barn Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release-automation/verify-macos-wheels.sh | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.buildkite/release-automation/verify-macos-wheels.sh b/.buildkite/release-automation/verify-macos-wheels.sh index a3a06dafca58..e867ff0d6b74 100755 --- a/.buildkite/release-automation/verify-macos-wheels.sh +++ b/.buildkite/release-automation/verify-macos-wheels.sh @@ -4,7 +4,10 @@ set -euo pipefail set -x -PYTHON_VERSIONS=("3.9" "3.10" "3.11" "3.12" "3.13") +# TODO(#54047): Python 3.13 is skipped due to the bug +# we should re-enable it when the bug is fixed. + +PYTHON_VERSIONS=("3.9" "3.10" "3.11" "3.12") BAZELISK_VERSION="v1.16.0" # Check arguments From 3180740c531a1c90c48c7efe6ada13fde4a556cb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 26 Aug 2025 06:41:50 -0700 Subject: [PATCH 0860/1566] [java] convert `gen_maven_deps` to py_binary (#55928) and use bazel run to run it this is the last local genrule that is not yet converted. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 ++ java/BUILD.bazel | 55 ++++++++++++++++----------------- java/build-jar-multiplatform.sh | 2 +- java/gen_maven_deps.py | 4 +++ java/test.sh | 2 +- 5 files changed, 35 insertions(+), 30 deletions(-) create mode 100644 java/gen_maven_deps.py diff --git a/BUILD.bazel b/BUILD.bazel index 65c06e57345c..ae56691ed2f7 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -469,6 +469,8 @@ genrule( sed -i -E 's/from opencensus.proto.resource.v1 import/from . import/' "$${files[@]}" $(location //bazel:pyzip) "$$tmpdir" $@ + + rm -rf "$$tmpdir" """, tools = [ "//bazel:pyzip", diff --git a/java/BUILD.bazel b/java/BUILD.bazel index df4c0d1aceed..7f2bc61fa6d4 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -6,7 +6,7 @@ load("@rules_java//java:java_binary.bzl", "java_binary") load("@rules_java//java:java_import.bzl", "java_import") load("@rules_java//java:java_library.bzl", "java_library") load("@rules_java//java:java_test.bzl", "java_test") -load("@rules_pkg//pkg:mappings.bzl", "pkg_files") +load("@rules_pkg//pkg:mappings.bzl", "pkg_attributes", "pkg_files") load("@rules_pkg//pkg:zip.bzl", "pkg_zip") load("@rules_proto_grpc//java:defs.bzl", "java_proto_compile") load("@rules_python//python:defs.bzl", "py_binary") @@ -398,39 +398,38 @@ py_binary( deps = ["//bazel:gen_extract"], ) -# Generates the dependencies needed by maven. -genrule( - name = "gen_maven_deps", +pkg_files( + name = "maven_deps_files", srcs = [ - ":pom_files.zip", - ":proto_files.zip", ":java_native_deps", ], - outs = ["gen_maven_deps.out"], - cmd = """ - WORK_DIR="$${PWD}" - # Copy native dependencies. - OS_NAME="" - case "$${OSTYPE}" in - linux*) OS_NAME="linux";; - darwin*) OS_NAME="darwin";; - *) echo "$${OSTYPE} is not supported currently"; exit 1;; - esac - NATIVE_DEPS_DIR="$$WORK_DIR/java/runtime/native_dependencies/native/$$OS_NAME" - rm -rf "$$NATIVE_DEPS_DIR" - mkdir -p "$$NATIVE_DEPS_DIR" - echo "# gen_maven_deps" > $@ - for f in $(locations //java:java_native_deps); do - chmod +w "$$f" - cp "$$f" "$$NATIVE_DEPS_DIR" - if [[ "$$OSTYPE" =~ ^darwin ]]; then shasum "$$f" >> $@ ; else sha1sum "$$f" >> $@ ; fi - done - """, - local = 1, - tags = ["no-cache"], + attributes = pkg_attributes(mode = "755"), + prefix = select( + { + "@platforms//os:linux": "runtime/native_dependencies/native/linux", + "@platforms//os:macos": "runtime/native_dependencies/native/darwin", + }, + no_match_error = "Unsupported platform", + ), visibility = ["//visibility:private"], ) +pkg_zip( + name = "maven_deps", + srcs = [ + ":maven_deps_files", + ], + visibility = ["//visibility:private"], +) + +py_binary( + name = "gen_maven_deps", + srcs = ["gen_maven_deps.py"], + data = [":maven_deps.zip"], + visibility = ["//visibility:private"], + deps = ["//bazel:gen_extract"], +) + java_binary( name = "ray_dist", # This rule is used to package all Ray Java code and the third-party dependencies into a diff --git a/java/build-jar-multiplatform.sh b/java/build-jar-multiplatform.sh index 38baefba6e8b..c54d20dc861a 100755 --- a/java/build-jar-multiplatform.sh +++ b/java/build-jar-multiplatform.sh @@ -38,7 +38,7 @@ build_jars() { bazel run ":gen_proto_files" if [[ $bazel_build == "true" ]]; then echo "Starting building java native dependencies for $p" - bazel build ":gen_maven_deps" + bazel run ":gen_maven_deps" echo "Finished building java native dependencies for $p" fi echo "Start building jars for $p" diff --git a/java/gen_maven_deps.py b/java/gen_maven_deps.py new file mode 100644 index 000000000000..be2e7238c22a --- /dev/null +++ b/java/gen_maven_deps.py @@ -0,0 +1,4 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract(["java/maven_deps.zip"], sub_dir="java") diff --git a/java/test.sh b/java/test.sh index fa1864083554..ab8dd0bbd528 100755 --- a/java/test.sh +++ b/java/test.sh @@ -66,7 +66,7 @@ fi echo "Build java maven deps." bazel run //java:gen_pom_files bazel run //java:gen_proto_files -bazel build //java:gen_maven_deps +bazel run //java:gen_maven_deps echo "Build ray core." bazel run //:gen_ray_pkg From 15cd6bb993f075171a3c8dc9591a10356bbc8c8d Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 08:57:57 -0500 Subject: [PATCH 0861/1566] [core] Remove `gcs_rpc_server.h` dependency from `RuntimeEnvHandler` (#55901) Depends on: https://github.com/ray-project/ray/pull/55886 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 4 ++- src/ray/gcs/gcs_server/gcs_server.cc | 4 ++- .../gcs/gcs_server/grpc_service_interfaces.h | 9 ++++++ src/ray/gcs/gcs_server/grpc_services.cc | 8 +++++ src/ray/gcs/gcs_server/grpc_services.h | 24 +++++++++++++- src/ray/gcs/gcs_server/runtime_env_handler.h | 7 ++-- src/ray/rpc/gcs/gcs_rpc_server.h | 32 ------------------- 7 files changed, 51 insertions(+), 37 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 7bdcecd2c0c6..b0af984c2388 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -128,10 +128,12 @@ ray_cc_library( srcs = ["runtime_env_handler.cc"], hdrs = ["runtime_env_handler.h"], deps = [ + ":grpc_service_interfaces", + "//src/ray/common:asio", "//src/ray/common:runtime_env", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/rpc:gcs_server", "//src/ray/util:thread_checker", + "@boost//:asio", ], ) diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 9e15a8f79429..a9b9f9d381f3 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -697,7 +697,9 @@ void GcsServer::InitRuntimeEnvManager() { std::chrono::milliseconds(delay_ms)); }); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *runtime_env_handler_)); + io_context_provider_.GetDefaultIOContext(), + *runtime_env_handler_, + /*max_active_rpcs_per_handler=*/-1)); } void GcsServer::InitGcsWorkerManager() { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 0deb908cae5d..74f1eda145a2 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -64,5 +64,14 @@ class NodeInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class RuntimeEnvGcsServiceHandler { + public: + virtual ~RuntimeEnvGcsServiceHandler() = default; + + virtual void HandlePinRuntimeEnvURI(PinRuntimeEnvURIRequest request, + PinRuntimeEnvURIReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 098299683462..841c7ad3814a 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -36,5 +36,13 @@ void NodeInfoGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(NodeInfoGcsService, CheckAlive, max_active_rpcs_per_handler_) } +void RuntimeEnvGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER( + RuntimeEnvGcsService, PinRuntimeEnvURI, max_active_rpcs_per_handler_); +} + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index e4785f1dbe65..f438e717cf9b 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -42,7 +42,7 @@ class NodeInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler) : GrpcService(io_service), service_handler_(service_handler), - max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} protected: grpc::Service &GetGrpcService() override { return service_; } @@ -58,5 +58,27 @@ class NodeInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class RuntimeEnvGrpcService : public GrpcService { + public: + explicit RuntimeEnvGrpcService(instrumented_io_context &io_service, + RuntimeEnvGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + RuntimeEnvGcsService::AsyncService service_; + RuntimeEnvGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/runtime_env_handler.h b/src/ray/gcs/gcs_server/runtime_env_handler.h index 946ca0327568..15eb88ee95ca 100644 --- a/src/ray/gcs/gcs_server/runtime_env_handler.h +++ b/src/ray/gcs/gcs_server/runtime_env_handler.h @@ -13,11 +13,14 @@ // limitations under the License. #pragma once +#include #include #include +#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" + namespace ray { namespace gcs { @@ -25,7 +28,7 @@ typedef std::function(std::function uint32_t delay_ms)> DelayExecutorFn; -class RuntimeEnvHandler : public rpc::RuntimeEnvHandler { +class RuntimeEnvHandler : public rpc::RuntimeEnvGcsServiceHandler { public: RuntimeEnvHandler(instrumented_io_context &io_service, RuntimeEnvManager &runtime_env_manager, diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 6e5835ae032f..ce83ef508d72 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -155,9 +155,6 @@ namespace rpc { #define INTERNAL_KV_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(InternalKVGcsService, HANDLER, -1) -#define RUNTIME_ENV_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(RuntimeEnvGcsService, HANDLER, -1) - // Unlimited max active RPCs, because of long poll. #define INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(InternalPubSubGcsService, HANDLER, -1) @@ -548,34 +545,6 @@ class InternalKVGrpcService : public GrpcService { InternalKVGcsServiceHandler &service_handler_; }; -class RuntimeEnvGcsServiceHandler { - public: - virtual ~RuntimeEnvGcsServiceHandler() = default; - virtual void HandlePinRuntimeEnvURI(PinRuntimeEnvURIRequest request, - PinRuntimeEnvURIReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -class RuntimeEnvGrpcService : public GrpcService { - public: - explicit RuntimeEnvGrpcService(instrumented_io_context &io_service, - RuntimeEnvGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - RUNTIME_ENV_SERVICE_RPC_HANDLER(PinRuntimeEnvURI); - } - - private: - RuntimeEnvGcsService::AsyncService service_; - RuntimeEnvGcsServiceHandler &service_handler_; -}; - class TaskInfoGcsServiceHandler { public: virtual ~TaskInfoGcsServiceHandler() = default; @@ -700,7 +669,6 @@ using WorkerInfoHandler = WorkerInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; using InternalKVHandler = InternalKVGcsServiceHandler; using InternalPubSubHandler = InternalPubSubGcsServiceHandler; -using RuntimeEnvHandler = RuntimeEnvGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; using RayEventExportHandler = RayEventExportGcsServiceHandler; From fbdd5daf81759e6929678e9bc55ee086503eb761 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 09:25:37 -0500 Subject: [PATCH 0862/1566] [core] Fix TSAN build for `redis_store_client_test` (#55951) Prior to my PR combining the `RedisClient` and `RedisStoreClient`, `RedisClient::Disconnect` did nothing: https://github.com/ray-project/ray/pull/55655/files#diff-2d6d8cd30f5c1efd0051a66b40bddb2e72497afae5aa1fa12ef1491d476b04e5L52 This was called in the `DisconnectStoreClient` method of the test. I changed it to do `store_client.reset()`. This is invalid because there might still be async callbacks scheduled on the loop that depend on the primary Redis context. Reverting to doing nothing for disconnection and directly stopping the loop instead. Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/store_client/tests/in_memory_store_client_test.cc | 2 -- .../gcs/store_client/tests/observable_store_client_test.cc | 2 -- src/ray/gcs/store_client/tests/redis_store_client_test.cc | 2 -- src/ray/gcs/store_client/tests/store_client_test_base.h | 4 ---- 4 files changed, 10 deletions(-) diff --git a/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc b/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc index 0fa5a47116f6..fdd6d24b4673 100644 --- a/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/in_memory_store_client_test.cc @@ -27,8 +27,6 @@ class InMemoryStoreClientTest : public StoreClientTestBase { void InitStoreClient() override { store_client_ = std::make_shared(); } - - void DisconnectStoreClient() override {} }; TEST_F(InMemoryStoreClientTest, AsyncPutAndAsyncGetTest) { TestAsyncPutAndAsyncGet(); } diff --git a/src/ray/gcs/store_client/tests/observable_store_client_test.cc b/src/ray/gcs/store_client/tests/observable_store_client_test.cc index 39f084b522af..013601fd8741 100644 --- a/src/ray/gcs/store_client/tests/observable_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/observable_store_client_test.cc @@ -29,8 +29,6 @@ class ObservableStoreClientTest : public StoreClientTestBase { store_client_ = std::make_shared(std::make_unique()); } - - void DisconnectStoreClient() override {} }; TEST_F(ObservableStoreClientTest, AsyncPutAndAsyncGetTest) { TestAsyncPutAndAsyncGet(); } diff --git a/src/ray/gcs/store_client/tests/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc index 0e3f0ea2a4c0..1d3cb4c3f7a9 100644 --- a/src/ray/gcs/store_client/tests/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -79,8 +79,6 @@ class RedisStoreClientTest : public StoreClientTestBase { store_client_ = std::make_shared(io_context, options); } - void DisconnectStoreClient() override { store_client_.reset(); } - protected: std::unique_ptr t_; std::atomic stopped_ = false; diff --git a/src/ray/gcs/store_client/tests/store_client_test_base.h b/src/ray/gcs/store_client/tests/store_client_test_base.h index f115ff0292ec..c687a7d96e53 100644 --- a/src/ray/gcs/store_client/tests/store_client_test_base.h +++ b/src/ray/gcs/store_client/tests/store_client_test_base.h @@ -48,8 +48,6 @@ class StoreClientTestBase : public ::testing::Test { } void TearDown() override { - DisconnectStoreClient(); - io_service_pool_->Stop(); key_to_value_.clear(); @@ -57,8 +55,6 @@ class StoreClientTestBase : public ::testing::Test { virtual void InitStoreClient() = 0; - virtual void DisconnectStoreClient() = 0; - protected: void Put() { auto put_callback = [this](auto) { --pending_count_; }; From 89978cfafdcca4ada41101b308db6b63b66c5607 Mon Sep 17 00:00:00 2001 From: Mao Yancan Date: Wed, 27 Aug 2025 00:01:55 +0800 Subject: [PATCH 0863/1566] [core][dashboard] use ray node id instead of ip for profilinglink (#55439) Signed-off-by: Mao Yancan Signed-off-by: Mao Yancan Co-authored-by: Mao Yancan Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 +- .../client/src/common/ProfilingLink.tsx | 27 +++-- .../client/src/components/ActorTable.tsx | 6 +- .../client/src/pages/actor/ActorDetail.tsx | 6 +- .../src/pages/job/JobDetailInfoPage.tsx | 6 +- .../dashboard/client/src/pages/job/JobRow.tsx | 6 +- .../client/src/pages/node/NodeRow.tsx | 7 +- .../modules/reporter/reporter_head.py | 106 +++++++++++++----- python/ray/tests/test_dashboard_profiler.py | 69 +++++++++--- 9 files changed, 163 insertions(+), 74 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 99adbd1f2fe2..56df1bd45d5c 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -957,10 +957,10 @@ python/ray/dashboard/modules/reporter/reporter_head.py DOC101: Method `ReportHead.get_task_cpu_profile`: Docstring contains fewer arguments than in function signature. DOC103: Method `ReportHead.get_task_cpu_profile`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. DOC102: Method `ReportHead.get_traceback`: Docstring contains more arguments than in function signature. - DOC103: Method `ReportHead.get_traceback`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. Arguments in the docstring but not in the function signature: [ip: , pid: ]. + DOC103: Method `ReportHead.get_traceback`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. Arguments in the docstring but not in the function signature: [ip or node_id: , pid: ]. DOC201: Method `ReportHead.get_traceback` does not have a return section in docstring DOC102: Method `ReportHead.cpu_profile`: Docstring contains more arguments than in function signature. - DOC103: Method `ReportHead.cpu_profile`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. Arguments in the docstring but not in the function signature: [duration: , format: , ip: , native: , pid: ]. + DOC103: Method `ReportHead.cpu_profile`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. Arguments in the docstring but not in the function signature: [duration: , format: , ip or node_id: , native: , pid: ]. DOC201: Method `ReportHead.cpu_profile` does not have a return section in docstring DOC101: Method `ReportHead.memory_profile`: Docstring contains fewer arguments than in function signature. DOC103: Method `ReportHead.memory_profile`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [req: aiohttp.web.Request]. diff --git a/python/ray/dashboard/client/src/common/ProfilingLink.tsx b/python/ray/dashboard/client/src/common/ProfilingLink.tsx index 5c44c4547a61..5639bf827556 100644 --- a/python/ray/dashboard/client/src/common/ProfilingLink.tsx +++ b/python/ray/dashboard/client/src/common/ProfilingLink.tsx @@ -20,7 +20,7 @@ import { ClassNameProps } from "./props"; type CpuProfilingLinkProps = PropsWithChildren< { pid: string | number | null | undefined; - ip: string | null | undefined; + nodeId: string | null | undefined; type: string | null; } & ClassNameProps >; @@ -34,7 +34,7 @@ type TaskProfilingStackTraceProps = { type MemoryProfilingProps = PropsWithChildren< { pid: string | number | null | undefined; - ip: string | null | undefined; + nodeId: string | null | undefined; type?: string | null; } & ClassNameProps >; @@ -92,15 +92,20 @@ export const TaskCpuStackTraceLink = ({ export const CpuStackTraceLink = ({ pid, - ip, + nodeId, type = "", }: CpuProfilingLinkProps) => { - if (!pid || !ip || typeof pid === "undefined" || typeof ip === "undefined") { + if ( + !pid || + !nodeId || + typeof pid === "undefined" || + typeof nodeId === "undefined" + ) { return
    ; } return ( { - if (!pid || !ip) { + if (!pid || !nodeId) { return
    ; } return ( { - if (!pid || !ip) { + if (!pid || !nodeId) { return
    ; } - const profilerUrl = `memory_profile?pid=${pid}&ip=${ip}`; + const profilerUrl = `memory_profile?pid=${pid}&node_id=${nodeId}`; return ; }; diff --git a/python/ray/dashboard/client/src/components/ActorTable.tsx b/python/ray/dashboard/client/src/components/ActorTable.tsx index ec4f1d745234..bff6b40352ad 100644 --- a/python/ray/dashboard/client/src/components/ActorTable.tsx +++ b/python/ray/dashboard/client/src/components/ActorTable.tsx @@ -655,19 +655,19 @@ const ActorTable = ({


    diff --git a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx index 6fb16c1d6cdf..6cf3096272e0 100644 --- a/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx +++ b/python/ray/dashboard/client/src/pages/actor/ActorDetail.tsx @@ -191,19 +191,19 @@ const ActorDetailPage = () => {


    diff --git a/python/ray/dashboard/client/src/pages/job/JobDetailInfoPage.tsx b/python/ray/dashboard/client/src/pages/job/JobDetailInfoPage.tsx index 112b19ed5df6..4c0c1562267b 100644 --- a/python/ray/dashboard/client/src/pages/job/JobDetailInfoPage.tsx +++ b/python/ray/dashboard/client/src/pages/job/JobDetailInfoPage.tsx @@ -172,19 +172,19 @@ export const JobMetadataSection = ({ job }: JobMetadataSectionProps) => {


    diff --git a/python/ray/dashboard/client/src/pages/job/JobRow.tsx b/python/ray/dashboard/client/src/pages/job/JobRow.tsx index 8440dcc26edf..dfb571fb5ec4 100644 --- a/python/ray/dashboard/client/src/pages/job/JobRow.tsx +++ b/python/ray/dashboard/client/src/pages/job/JobRow.tsx @@ -116,19 +116,19 @@ export const JobRow = ({ job }: JobRowProps) => { )}

    diff --git a/python/ray/dashboard/client/src/pages/node/NodeRow.tsx b/python/ray/dashboard/client/src/pages/node/NodeRow.tsx index d8a135510503..b873884564a0 100644 --- a/python/ray/dashboard/client/src/pages/node/NodeRow.tsx +++ b/python/ray/dashboard/client/src/pages/node/NodeRow.tsx @@ -227,7 +227,6 @@ type WorkerRowProps = { */ export const WorkerRow = ({ node, worker }: WorkerRowProps) => { const { - ip, mem, raylet: { nodeId }, } = node; @@ -278,11 +277,11 @@ export const WorkerRow = ({ node, worker }: WorkerRowProps) => { Log
    - +
    - +
    - + diff --git a/python/ray/dashboard/modules/reporter/reporter_head.py b/python/ray/dashboard/modules/reporter/reporter_head.py index 7ec0f59be092..bbcaef0a863c 100644 --- a/python/ray/dashboard/modules/reporter/reporter_head.py +++ b/python/ray/dashboard/modules/reporter/reporter_head.py @@ -413,21 +413,32 @@ async def get_traceback(self, req: aiohttp.web.Request) -> aiohttp.web.Response: Params: pid: Required. The PID of the worker. - ip: Required. The IP address of the node. + ip or node_id: Required. The IP address or hex ID of the node. """ pid = req.query.get("pid") ip = req.query.get("ip") + node_id_hex = req.query.get("node_id") if not pid: raise ValueError("pid is required") - if not ip: - raise ValueError("ip is required") + if not node_id_hex and not ip: + raise ValueError("ip or node_id is required") - addrs = await self._get_stub_address_by_ip(ip) - if not addrs: - raise aiohttp.web.HTTPInternalServerError( - text=f"Failed to get agent address for node at IP {ip}" + if node_id_hex: + addrs = await self._get_stub_address_by_node_id( + NodeID.from_hex(node_id_hex) ) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at node_id {node_id_hex}" + ) + else: + addrs = await self._get_stub_address_by_ip(ip) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at IP {ip}" + ) + node_id, ip, http_port, grpc_port = addrs reporter_stub = self._make_stub(build_address(ip, grpc_port)) # Default not using `--native` for profiling @@ -451,29 +462,40 @@ async def cpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: Params: pid: Required. The PID of the worker. - ip: Required. The IP address of the node. + ip or node_id: Required. The IP address or hex ID of the node. duration: Optional. Duration in seconds for profiling (default: 5, max: 60). format: Optional. Output format (default: "flamegraph"). native: Optional. Whether to use native profiling (default: false). Raises: ValueError: If pid is not provided. - ValueError: If ip is not provided. + ValueError: If ip or node_id is not provided. ValueError: If duration exceeds 60 seconds. aiohttp.web.HTTPInternalServerError: If there is an internal server error during the profile retrieval. """ pid = req.query.get("pid") ip = req.query.get("ip") + node_id_hex = req.query.get("node_id") if not pid: raise ValueError("pid is required") - if not ip: - raise ValueError("ip is required") + if not node_id_hex and not ip: + raise ValueError("ip or node_id is required") - addrs = await self._get_stub_address_by_ip(ip) - if not addrs: - raise aiohttp.web.HTTPInternalServerError( - text=f"Failed to get agent address for node at IP {ip}" + if node_id_hex: + addrs = await self._get_stub_address_by_node_id( + NodeID.from_hex(node_id_hex) ) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at node_id {node_id_hex}" + ) + else: + addrs = await self._get_stub_address_by_ip(ip) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at IP {ip}" + ) + node_id, ip, http_port, grpc_port = addrs reporter_stub = self._make_stub(build_address(ip, grpc_port)) @@ -517,7 +539,7 @@ async def gpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: Params: req: A request with the following query parameters: pid: Required. The PID of the GPU training worker. - ip: Required. The IP address of the node where the GPU training worker is running. + ip or node_id: Required. The IP address or hex ID of the node where the GPU training worker is running. num_iterations: Number of training steps for profiling. Defaults to 4 This is the number of calls to the torch Optimizer.step(). @@ -536,16 +558,27 @@ async def gpu_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response: pid = req.query.get("pid") ip = req.query.get("ip") + node_id_hex = req.query.get("node_id") if not pid: raise ValueError("pid is required") - if not ip: - raise ValueError("ip is required") + if not node_id_hex and not ip: + raise ValueError("ip or node_id is required") - addrs = await self._get_stub_address_by_ip(ip) - if not addrs: - raise aiohttp.web.HTTPInternalServerError( - text=f"Failed to get agent address for node at IP {ip}, pid {pid}" + if node_id_hex: + addrs = await self._get_stub_address_by_node_id( + NodeID.from_hex(node_id_hex) ) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at node_id {node_id_hex}, pid {pid}" + ) + else: + addrs = await self._get_stub_address_by_ip(ip) + if not addrs: + raise aiohttp.web.HTTPInternalServerError( + text=f"Failed to get agent address for node at IP {ip}, pid {pid}" + ) + node_id, ip, http_port, grpc_port = addrs reporter_stub = self._make_stub(build_address(ip, grpc_port)) @@ -592,7 +625,7 @@ async def memory_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response Params (1): pid: The PID of the worker. - ip: The IP address of the node. + ip or node_id: The IP address or hex ID of the node. Params (2): task_id: The ID of the task. @@ -601,7 +634,7 @@ async def memory_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response Raises: aiohttp.web.HTTPInternalServerError: If no stub - found from the given IP value + found from the given IP address or hex ID value aiohttp.web.HTTPInternalServerError: If the "task_id" parameter exists but either "attempt_number" or "node id" is missing in the request query. @@ -652,12 +685,27 @@ async def memory_profile(self, req: aiohttp.web.Request) -> aiohttp.web.Response else: pid = int(req.query["pid"]) ip = req.query.get("ip") - addrs = await self._get_stub_address_by_ip(ip) - if not addrs: - return aiohttp.web.HTTPInternalServerError( - text=f"Failed to execute: no agent address found for node IP {ip}" + node_id_hex = req.query.get("node_id") + + if not node_id_hex and not ip: + raise ValueError("ip or node_id is required") + + if node_id_hex: + addrs = await self._get_stub_address_by_node_id( + NodeID.from_hex(node_id_hex) ) - _, ip, _, grpc_port = addrs + if not addrs: + return aiohttp.web.HTTPInternalServerError( + text=f"Failed to execute: no agent address found for node {node_id_hex}" + ) + _, ip, _, grpc_port = addrs + else: + addrs = await self._get_stub_address_by_ip(ip) + if not addrs: + return aiohttp.web.HTTPInternalServerError( + text=f"Failed to execute: no agent address found for node IP {ip}" + ) + _, ip, _, grpc_port = addrs assert pid is not None ip_port = build_address(ip, grpc_port) diff --git a/python/ray/tests/test_dashboard_profiler.py b/python/ray/tests/test_dashboard_profiler.py index 721dffff7fc2..0a261e5f5951 100644 --- a/python/ray/tests/test_dashboard_profiler.py +++ b/python/ray/tests/test_dashboard_profiler.py @@ -23,7 +23,8 @@ reason="Fails on OSX: https://github.com/ray-project/ray/issues/30114", ) @pytest.mark.parametrize("native", ["0", "1"]) -def test_profiler_endpoints(ray_start_with_dashboard, native): +@pytest.mark.parametrize("node_info", ["node_id", "ip"]) +def test_profiler_endpoints(ray_start_with_dashboard, native, node_info): # Sanity check py-spy are installed. subprocess.check_call(["py-spy", "--version"]) @@ -45,10 +46,19 @@ def do_stuff_infinite(self): pid = ray.get(a.getpid.remote()) a.do_stuff_infinite.remote() + node_id = ray_start_with_dashboard.address_info["node_id"] node_ip = ray_start_with_dashboard.address_info["node_ip_address"] + def get_node_info(): + if node_info == "node_id": + return f"node_id={node_id}" + else: + return f"ip={node_ip}" + def get_actor_stack(): - url = f"{webui_url}/worker/traceback?pid={pid}&ip={node_ip}&native={native}" + url = ( + f"{webui_url}/worker/traceback?pid={pid}&{get_node_info()}&native={native}" + ) print("GET URL", url) response = requests.get(url) print("STATUS CODE", response.status_code) @@ -73,7 +83,7 @@ def get_actor_stack(): def get_actor_flamegraph(): response = requests.get( - f"{webui_url}/worker/cpu_profile?pid={pid}&ip={node_ip}&native={native}" + f"{webui_url}/worker/cpu_profile?pid={pid}&{get_node_info()}&native={native}" ) response.raise_for_status() assert response.headers["Content-Type"] == "image/svg+xml", response.headers @@ -106,7 +116,8 @@ def get_actor_flamegraph(): reason="Fails on OSX, requires memray & lldb installed in osx image", ) @pytest.mark.parametrize("leaks", ["0", "1"]) -def test_memory_profiler_endpoint(ray_start_with_dashboard, leaks): +@pytest.mark.parametrize("node_info", ["node_id", "ip"]) +def test_memory_profiler_endpoint(ray_start_with_dashboard, leaks, node_info): # Sanity check memray are installed. subprocess.check_call(["memray", "--version"]) @@ -128,11 +139,18 @@ def do_stuff_infinite(self): pid = ray.get(a.getpid.remote()) a.do_stuff_infinite.remote() + node_id = ray_start_with_dashboard.address_info["node_id"] node_ip = ray_start_with_dashboard.address_info["node_ip_address"] + def get_node_info(): + if node_info == "node_id": + return f"node_id={node_id}" + else: + return f"ip={node_ip}" + def get_actor_memory_flamegraph(): response = requests.get( - f"{webui_url}/memory_profile?pid={pid}&ip={node_ip}&leaks={leaks}&duration=5" + f"{webui_url}/memory_profile?pid={pid}&{get_node_info()}&leaks={leaks}&duration=5" ) response.raise_for_status() @@ -156,7 +174,7 @@ def get_actor_memory_flamegraph(): def get_actor_memory_multiple_flamegraphs(): response = requests.get( - f"{webui_url}/memory_profile?pid={pid}&ip={node_ip}&leaks={leaks}&duration=5" + f"{webui_url}/memory_profile?pid={pid}&{get_node_info()}&leaks={leaks}&duration=5" ) response.raise_for_status() @@ -189,7 +207,8 @@ def get_actor_memory_multiple_flamegraphs(): sys.platform == "darwin", reason="Fails on OSX, requires memray & lldb installed in osx image", ) -def test_profiler_failure_message(ray_start_with_dashboard): +@pytest.mark.parametrize("node_info", ["node_id", "ip"]) +def test_profiler_failure_message(ray_start_with_dashboard, node_info): # Sanity check py-spy and memray is installed. subprocess.check_call(["py-spy", "--version"]) subprocess.check_call(["memray", "--version"]) @@ -212,10 +231,19 @@ def do_stuff_infinite(self): pid = ray.get(a.getpid.remote()) a.do_stuff_infinite.remote() + node_id = ray_start_with_dashboard.address_info["node_id"] node_ip = ray_start_with_dashboard.address_info["node_ip_address"] + def get_node_info(): + if node_info == "node_id": + return f"node_id={node_id}" + else: + return f"ip={node_ip}" + def get_actor_stack(): - response = requests.get(f"{webui_url}/worker/traceback?pid={pid}&ip={node_ip}") + response = requests.get( + f"{webui_url}/worker/traceback?pid={pid}&{get_node_info()}" + ) response.raise_for_status() content = response.content.decode("utf-8") print("CONTENT", content) @@ -230,33 +258,42 @@ def get_actor_stack(): ) # Check we return the right status code and error message on failure. - response = requests.get(f"{webui_url}/worker/traceback?pid=1234567&ip={node_ip}") + response = requests.get( + f"{webui_url}/worker/traceback?pid=1234567&{get_node_info()}" + ) content = response.content.decode("utf-8") print(content) assert "text/plain" in response.headers["Content-Type"], response.headers assert "Failed to execute" in content, content # Check we return the right status code and error message on failure. - response = requests.get(f"{webui_url}/worker/cpu_profile?pid=1234567&ip={node_ip}") + response = requests.get( + f"{webui_url}/worker/cpu_profile?pid=1234567&{get_node_info()}" + ) content = response.content.decode("utf-8") print(content) assert "text/plain" in response.headers["Content-Type"], response.headers assert "Failed to execute" in content, content # Check we return the right status code and error message on failure. - response = requests.get(f"{webui_url}/memory_profile?pid=1234567&ip={node_ip}") + response = requests.get(f"{webui_url}/memory_profile?pid=1234567&{get_node_info()}") content = response.content.decode("utf-8") print(content) assert "text/plain" in response.headers["Content-Type"], response.headers assert "Failed to execute" in content, content - # Check wrong ip failure - response = requests.get(f"{webui_url}/memory_profile?pid=1234567&ip=1.2.3.4") + # Check wrong ID/ip failure + if node_info == "node_id": + wrong_param = "node_id=DUMMY_ID" + expect_msg = "Failed to execute: no agent address found for node DUMMY_ID" + else: + wrong_param = "ip=1.2.3.4" + expect_msg = "Failed to execute: no agent address found for node IP 1.2.3.4" + + response = requests.get(f"{webui_url}/memory_profile?pid=1234567&{wrong_param}") content = response.content.decode("utf-8") print(content) - assert ( - "Failed to execute: no agent address found for node IP 1.2.3.4" in content - ), content + assert expect_msg in content, content if __name__ == "__main__": From ad8191e5dc21200761f98df97554873158aa6efe Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 26 Aug 2025 09:29:12 -0700 Subject: [PATCH 0864/1566] [core][obsclean/04] move metric registration to constructor (#55544) Currently, the `Metric` class registers the metric name each time it records a new value, due to the [C++ static initialization order fiasco](https://en.cppreference.com/w/cpp/language/siof.html). The base of this PR move all static metrics to runtime initialization, allowing us to safely perform metric registration in the constructor. Note that I'm only doing this for the open-telemetry stack. The opencensus has a complex registration sequence using view+measure and I have hard time make it to work so I don't bother fixing it. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/stats/metric.cc | 14 -------------- src/ray/stats/metric.h | 24 ++++++++++++++++++++---- 2 files changed, 20 insertions(+), 18 deletions(-) diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index c2dcd38ddc26..65e7032226bc 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -114,20 +114,6 @@ void Metric::Record(double value, TagsType tags) { } if (::RayConfig::instance().enable_open_telemetry()) { - // Register the metric if it hasn't been registered yet; otherwise, this is a no-op. - // We defer metric registration until the first time it's recorded, rather than during - // construction, to avoid issues with static initialization order. Specifically, our - // internal Metric objects (see metric_defs.h) are declared as static, and - // constructing another static object within their constructor can lead to crashes at - // program exit due to unpredictable destruction order. - // - // Once these internal Metric objects are migrated to use DEFINE_stats, we can - // safely move the registration logic to the constructor. See - // https://github.com/ray-project/ray/issues/54538 for the backlog of Ray metric infra - // improvements. - // - // This function is thread-safe. - RegisterOpenTelemetryMetric(); // Collect tags from both the metric-specific tags and the global tags. absl::flat_hash_map open_telemetry_tags; std::unordered_set tag_keys_set; diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index f53056492dcc..8ac54d521f31 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -163,7 +163,11 @@ class Gauge : public Metric { const std::string &description, const std::string &unit, const std::vector &tag_keys = {}) - : Metric(name, description, unit, tag_keys) {} + : Metric(name, description, unit, tag_keys) { + if (::RayConfig::instance().enable_open_telemetry()) { + RegisterOpenTelemetryMetric(); + } + } private: void RegisterView() override; @@ -178,7 +182,11 @@ class Histogram : public Metric { const std::string &unit, const std::vector &boundaries, const std::vector &tag_keys = {}) - : Metric(name, description, unit, tag_keys), boundaries_(boundaries) {} + : Metric(name, description, unit, tag_keys), boundaries_(boundaries) { + if (::RayConfig::instance().enable_open_telemetry()) { + RegisterOpenTelemetryMetric(); + } + } private: void RegisterView() override; @@ -195,7 +203,11 @@ class Count : public Metric { const std::string &description, const std::string &unit, const std::vector &tag_keys = {}) - : Metric(name, description, unit, tag_keys) {} + : Metric(name, description, unit, tag_keys) { + if (::RayConfig::instance().enable_open_telemetry()) { + RegisterOpenTelemetryMetric(); + } + } private: void RegisterView() override; @@ -209,7 +221,11 @@ class Sum : public Metric { const std::string &description, const std::string &unit, const std::vector &tag_keys = {}) - : Metric(name, description, unit, tag_keys) {} + : Metric(name, description, unit, tag_keys) { + if (::RayConfig::instance().enable_open_telemetry()) { + RegisterOpenTelemetryMetric(); + } + } private: void RegisterView() override; From ef2a34785524006285c7e68004ed1d57ef7580f7 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 11:46:50 -0500 Subject: [PATCH 0865/1566] [core] Remove `node_manager_server.h` header from `node_manager_client` target (#55953) I don't know... Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/rpc/BUILD.bazel | 1 - 1 file changed, 1 deletion(-) diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 41e9e92f0121..70d7a6cc97d2 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -128,7 +128,6 @@ ray_cc_library( srcs = ["node_manager/raylet_client_pool.cc"], hdrs = [ "node_manager/node_manager_client.h", - "node_manager/node_manager_server.h", "node_manager/raylet_client_pool.h", ] + [ # TODO(eoakes): these are needed due to a circular dependency: From 69d7bef408a50f763f972f690d83cdb1d9a31954 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 11:48:44 -0500 Subject: [PATCH 0866/1566] [core] Remove `gcs_client` dependency in `gcs_server` tests (#55902) Unused. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/tests/BUILD.bazel | 2 - .../gcs_server/tests/gcs_server_test_util.h | 50 ------------------- 2 files changed, 52 deletions(-) diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index e4db2be85604..d5417e0647f3 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -81,7 +81,6 @@ ray_cc_library( ], deps = [ "//:ray_fakes", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/store_client:in_memory_store_client", ], ) @@ -202,7 +201,6 @@ ray_cc_test( deps = [ ":gcs_server_test_util", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h index 43c2bb1a163d..eb8cf7da9eba 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -27,7 +27,6 @@ #include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" -#include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" @@ -382,55 +381,6 @@ struct GcsServerMocker { std::shared_ptr store_client_ = std::make_shared(); }; - - class MockedNodeInfoAccessor : public gcs::NodeInfoAccessor { - public: - Status RegisterSelf(const rpc::GcsNodeInfo &local_node_info, - const gcs::StatusCallback &callback) override { - return Status::NotImplemented(""); - } - - const NodeID &GetSelfId() const override { - static NodeID node_id; - return node_id; - } - - const rpc::GcsNodeInfo &GetSelfInfo() const override { - static rpc::GcsNodeInfo node_info; - return node_info; - } - - void AsyncRegister(const rpc::GcsNodeInfo &node_info, - const gcs::StatusCallback &callback) override {} - - void AsyncGetAll(const gcs::MultiItemCallback &callback, - int64_t timeout_ms, - const std::vector &node_ids = {}) override { - if (callback) { - callback(Status::OK(), {}); - } - } - - void AsyncSubscribeToNodeChange( - std::function subscribe, - gcs::StatusCallback done) override { - RAY_LOG(FATAL) << "Not implemented"; - } - - const rpc::GcsNodeInfo *Get(const NodeID &node_id, - bool filter_dead_nodes = true) const override { - return nullptr; - } - - const absl::flat_hash_map &GetAll() const override { - static absl::flat_hash_map node_info_list; - return node_info_list; - } - - bool IsNodeDead(const NodeID &node_id) const override { return false; } - - void AsyncResubscribe() override {} - }; }; } // namespace ray From 9e2c190ae71b11a3d38a77ddb79ee32897329510 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 11:51:47 -0500 Subject: [PATCH 0867/1566] [core] Remove `gcs_rpc_server.h` dependency from `GcsWorkerManager` (#55954) Splitting gRPC service interface from implementation. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 2 +- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- src/ray/gcs/gcs_server/gcs_worker_manager.h | 5 +- .../gcs/gcs_server/grpc_service_interfaces.h | 30 ++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 16 +++++ src/ray/gcs/gcs_server/grpc_services.h | 23 +++++++ src/ray/rpc/gcs/gcs_rpc_server.h | 68 ------------------- 7 files changed, 75 insertions(+), 73 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index b0af984c2388..1620daef6773 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -145,8 +145,8 @@ ray_cc_library( ":gcs_kv_manager", ":gcs_table_storage", ":gcs_usage_stats_client", + ":grpc_service_interfaces", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", ], ) diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index a9b9f9d381f3..f52499d22886 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -706,7 +706,9 @@ void GcsServer::InitGcsWorkerManager() { gcs_worker_manager_ = std::make_unique( *gcs_table_storage_, io_context_provider_.GetDefaultIOContext(), *gcs_publisher_); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_worker_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_worker_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InitGcsAutoscalerStateManager(const GcsInitData &gcs_init_data) { diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.h b/src/ray/gcs/gcs_server/gcs_worker_manager.h index fb33d80ddb6c..0912e625d1e6 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.h @@ -18,15 +18,14 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" namespace ray { namespace gcs { -/// This implementation class of `WorkerInfoHandler`. -class GcsWorkerManager : public rpc::WorkerInfoHandler { +class GcsWorkerManager : public rpc::WorkerInfoGcsServiceHandler { public: GcsWorkerManager(gcs::GcsTableStorage &gcs_table_storage, instrumented_io_context &io_context, diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 74f1eda145a2..89aab76879a8 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -73,5 +73,35 @@ class RuntimeEnvGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class WorkerInfoGcsServiceHandler { + public: + virtual ~WorkerInfoGcsServiceHandler() = default; + + virtual void HandleReportWorkerFailure(ReportWorkerFailureRequest request, + ReportWorkerFailureReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetWorkerInfo(GetWorkerInfoRequest request, + GetWorkerInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllWorkerInfo(GetAllWorkerInfoRequest request, + GetAllWorkerInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleAddWorkerInfo(AddWorkerInfoRequest request, + AddWorkerInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleUpdateWorkerDebuggerPort(UpdateWorkerDebuggerPortRequest request, + UpdateWorkerDebuggerPortReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleUpdateWorkerNumPausedThreads( + UpdateWorkerNumPausedThreadsRequest request, + UpdateWorkerNumPausedThreadsReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 841c7ad3814a..a0de6d357d8b 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -44,5 +44,21 @@ void RuntimeEnvGrpcService::InitServerCallFactories( RuntimeEnvGcsService, PinRuntimeEnvURI, max_active_rpcs_per_handler_); } +void WorkerInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER( + WorkerInfoGcsService, ReportWorkerFailure, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(WorkerInfoGcsService, GetWorkerInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + WorkerInfoGcsService, GetAllWorkerInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(WorkerInfoGcsService, AddWorkerInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + WorkerInfoGcsService, UpdateWorkerDebuggerPort, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + WorkerInfoGcsService, UpdateWorkerNumPausedThreads, max_active_rpcs_per_handler_) +} + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index f438e717cf9b..98268354000b 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -80,5 +80,28 @@ class RuntimeEnvGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class WorkerInfoGrpcService : public GrpcService { + public: + explicit WorkerInfoGrpcService(instrumented_io_context &io_service, + WorkerInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + WorkerInfoGcsService::AsyncService service_; + WorkerInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index ce83ef508d72..db0d3bb9db14 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -142,11 +142,6 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define WORKER_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(WorkerInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(PlacementGroupInfoGcsService, \ HANDLER, \ @@ -363,68 +358,6 @@ class NodeResourceInfoGrpcService : public GrpcService { NodeResourceInfoGcsServiceHandler &service_handler_; }; -class WorkerInfoGcsServiceHandler { - public: - virtual ~WorkerInfoGcsServiceHandler() = default; - - virtual void HandleReportWorkerFailure(ReportWorkerFailureRequest request, - ReportWorkerFailureReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetWorkerInfo(GetWorkerInfoRequest request, - GetWorkerInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllWorkerInfo(GetAllWorkerInfoRequest request, - GetAllWorkerInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleAddWorkerInfo(AddWorkerInfoRequest request, - AddWorkerInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleUpdateWorkerDebuggerPort(UpdateWorkerDebuggerPortRequest request, - UpdateWorkerDebuggerPortReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleUpdateWorkerNumPausedThreads( - UpdateWorkerNumPausedThreadsRequest request, - UpdateWorkerNumPausedThreadsReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `WorkerInfoGcsService`. -class WorkerInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit WorkerInfoGrpcService(instrumented_io_context &io_service, - WorkerInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - WORKER_INFO_SERVICE_RPC_HANDLER(ReportWorkerFailure); - WORKER_INFO_SERVICE_RPC_HANDLER(GetWorkerInfo); - WORKER_INFO_SERVICE_RPC_HANDLER(GetAllWorkerInfo); - WORKER_INFO_SERVICE_RPC_HANDLER(AddWorkerInfo); - WORKER_INFO_SERVICE_RPC_HANDLER(UpdateWorkerDebuggerPort); - WORKER_INFO_SERVICE_RPC_HANDLER(UpdateWorkerNumPausedThreads); - } - - private: - /// The grpc async service object. - WorkerInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - WorkerInfoGcsServiceHandler &service_handler_; -}; - class PlacementGroupInfoGcsServiceHandler { public: virtual ~PlacementGroupInfoGcsServiceHandler() = default; @@ -665,7 +598,6 @@ class InternalPubSubGrpcService : public GrpcService { using JobInfoHandler = JobInfoGcsServiceHandler; using ActorInfoHandler = ActorInfoGcsServiceHandler; using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; -using WorkerInfoHandler = WorkerInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; using InternalKVHandler = InternalKVGcsServiceHandler; using InternalPubSubHandler = InternalPubSubGcsServiceHandler; From cbf3d83f61f5b35d909cd3a2640b54b4ee278f3b Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 11:57:45 -0500 Subject: [PATCH 0868/1566] [core] Remove `gcs_rpc_server.h` dependency from `GcsJobManager` (#55899) Depends on: https://github.com/ray-project/ray/pull/55886 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 11 ++-- src/ray/gcs/gcs_server/gcs_job_manager.cc | 4 ++ src/ray/gcs/gcs_server/gcs_job_manager.h | 19 +++--- src/ray/gcs/gcs_server/gcs_server.cc | 39 +---------- .../gcs/gcs_server/grpc_service_interfaces.h | 29 ++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 13 +++- src/ray/gcs/gcs_server/grpc_services.h | 24 +++++++ src/ray/rpc/gcs/gcs_rpc_server.h | 66 ------------------- 8 files changed, 88 insertions(+), 117 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 1620daef6773..d8d1aac34681 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -204,20 +204,21 @@ ray_cc_library( name = "gcs_job_manager", srcs = ["gcs_job_manager.cc"], hdrs = ["gcs_job_manager.h"], - deps = [ + implementation_deps = [ ":gcs_function_manager", ":gcs_init_data", ":gcs_table_storage", - "//src/ray/common:runtime_env", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", + ], + deps = [ + ":grpc_service_interfaces", + "//src/ray/common:runtime_env", + "//src/ray/rpc:core_worker_client", "//src/ray/util:event", "//src/ray/util:thread_checker", "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", ], ) diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index e71c69bccedc..ae55183c416c 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -22,7 +22,11 @@ #include #include "absl/strings/match.h" +#include "ray/gcs/gcs_server/gcs_function_manager.h" +#include "ray/gcs/gcs_server/gcs_init_data.h" +#include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/pb_util.h" +#include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/stats/metric.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_server/gcs_job_manager.h index a9484e7c0277..97da33b4b478 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_server/gcs_job_manager.h @@ -21,13 +21,8 @@ #include #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" @@ -46,10 +41,16 @@ inline std::string JobDataKey(const std::string &submission_id) { return kJobDataKeyPrefix + submission_id; } -using JobFinishListenerCallback = rpc::JobInfoHandler::JobFinishListenerCallback; +using JobFinishListenerCallback = + rpc::JobInfoGcsServiceHandler::JobFinishListenerCallback; -/// This implementation class of `JobInfoHandler`. -class GcsJobManager : public rpc::JobInfoHandler { +class GcsInitData; +class GcsTableStorage; +class GcsPublisher; +class GCSFunctionManager; +class InternalKVInterface; + +class GcsJobManager : public rpc::JobInfoGcsServiceHandler { public: explicit GcsJobManager(GcsTableStorage &gcs_table_storage, GcsPublisher &gcs_publisher, diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index f52499d22886..9a5b55ef5561 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -236,58 +236,23 @@ void GcsServer::GetOrGenerateClusterId( } void GcsServer::DoStart(const GcsInitData &gcs_init_data) { - // Init cluster resource scheduler. InitClusterResourceScheduler(); - - // Init gcs node manager. InitGcsNodeManager(gcs_init_data); - - // Init cluster task manager. InitClusterTaskManager(); - - // Init gcs resource manager. InitGcsResourceManager(gcs_init_data); - - // Init gcs health check manager. InitGcsHealthCheckManager(gcs_init_data); - - // Init synchronization service InitRaySyncer(gcs_init_data); - - // Init KV service. InitKVService(); - - // Init function manager InitFunctionManager(); - - // Init Pub/Sub handler InitPubSubHandler(); - - // Init RuntimeEnv manager InitRuntimeEnvManager(); - - // Init gcs job manager. InitGcsJobManager(gcs_init_data); - - // Init gcs placement group manager. InitGcsPlacementGroupManager(gcs_init_data); - - // Init gcs actor manager. InitGcsActorManager(gcs_init_data); - - // Init gcs worker manager. InitGcsWorkerManager(); - - // Init GCS task manager. InitGcsTaskManager(); - - // Install event listeners. InstallEventListeners(); - - // Init autoscaling manager InitGcsAutoscalerStateManager(gcs_init_data); - - // Init usage stats client. InitUsageStatsClient(); // Init OpenTelemetry exporter. @@ -483,7 +448,9 @@ void GcsServer::InitGcsJobManager(const GcsInitData &gcs_init_data) { gcs_job_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_job_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_job_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InitGcsActorManager(const GcsInitData &gcs_init_data) { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 89aab76879a8..d8dbb7febf4d 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -64,6 +64,35 @@ class NodeInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class JobInfoGcsServiceHandler { + public: + using JobFinishListenerCallback = std::function; + + virtual ~JobInfoGcsServiceHandler() = default; + + virtual void HandleAddJob(AddJobRequest request, + AddJobReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleMarkJobFinished(MarkJobFinishedRequest request, + MarkJobFinishedReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllJobInfo(GetAllJobInfoRequest request, + GetAllJobInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void AddJobFinishedListener(JobFinishListenerCallback listener) = 0; + + virtual void HandleReportJobError(ReportJobErrorRequest request, + ReportJobErrorReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetNextJobID(GetNextJobIDRequest request, + GetNextJobIDReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + class RuntimeEnvGcsServiceHandler { public: virtual ~RuntimeEnvGcsServiceHandler() = default; diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index a0de6d357d8b..a35a43e68c42 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -36,12 +36,23 @@ void NodeInfoGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(NodeInfoGcsService, CheckAlive, max_active_rpcs_per_handler_) } +void JobInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(JobInfoGcsService, AddJob, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(JobInfoGcsService, MarkJobFinished, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(JobInfoGcsService, GetAllJobInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(JobInfoGcsService, ReportJobError, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(JobInfoGcsService, GetNextJobID, max_active_rpcs_per_handler_) +} + void RuntimeEnvGrpcService::InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, const ClusterID &cluster_id) { RPC_SERVICE_HANDLER( - RuntimeEnvGcsService, PinRuntimeEnvURI, max_active_rpcs_per_handler_); + RuntimeEnvGcsService, PinRuntimeEnvURI, max_active_rpcs_per_handler_) } void WorkerInfoGrpcService::InitServerCallFactories( diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index 98268354000b..90ef1d75a4e3 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -58,6 +58,29 @@ class NodeInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class JobInfoGrpcService : public GrpcService { + public: + explicit JobInfoGrpcService(instrumented_io_context &io_service, + JobInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + JobInfoGcsService::AsyncService service_; + JobInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + class RuntimeEnvGrpcService : public GrpcService { public: explicit RuntimeEnvGrpcService(instrumented_io_context &io_service, @@ -69,6 +92,7 @@ class RuntimeEnvGrpcService : public GrpcService { protected: grpc::Service &GetGrpcService() override { return service_; } + void InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index db0d3bb9db14..65e214245162 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -109,11 +109,6 @@ using AutoscalerStateHandler = AutoscalerStateServiceHandler; namespace ray { namespace rpc { -#define JOB_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(JobInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define ACTOR_INFO_SERVICE_RPC_HANDLER(HANDLER, MAX_ACTIVE_RPCS) \ RPC_SERVICE_HANDLER(ActorInfoGcsService, HANDLER, MAX_ACTIVE_RPCS) @@ -159,66 +154,6 @@ namespace rpc { reply->mutable_status()->set_message(status.message()); \ send_reply_callback(ray::Status::OK(), nullptr, nullptr) -class JobInfoGcsServiceHandler { - public: - using JobFinishListenerCallback = std::function; - - virtual ~JobInfoGcsServiceHandler() = default; - - virtual void HandleAddJob(AddJobRequest request, - AddJobReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleMarkJobFinished(MarkJobFinishedRequest request, - MarkJobFinishedReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllJobInfo(GetAllJobInfoRequest request, - GetAllJobInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void AddJobFinishedListener(JobFinishListenerCallback listener) = 0; - - virtual void HandleReportJobError(ReportJobErrorRequest request, - ReportJobErrorReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetNextJobID(GetNextJobIDRequest request, - GetNextJobIDReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `JobInfoGcsService`. -class JobInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit JobInfoGrpcService(instrumented_io_context &io_service, - JobInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - JOB_INFO_SERVICE_RPC_HANDLER(AddJob); - JOB_INFO_SERVICE_RPC_HANDLER(MarkJobFinished); - JOB_INFO_SERVICE_RPC_HANDLER(GetAllJobInfo); - JOB_INFO_SERVICE_RPC_HANDLER(ReportJobError); - JOB_INFO_SERVICE_RPC_HANDLER(GetNextJobID); - } - - private: - /// The grpc async service object. - JobInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - JobInfoGcsServiceHandler &service_handler_; -}; - class ActorInfoGcsServiceHandler { public: virtual ~ActorInfoGcsServiceHandler() = default; @@ -595,7 +530,6 @@ class InternalPubSubGrpcService : public GrpcService { InternalPubSubGcsServiceHandler &service_handler_; }; -using JobInfoHandler = JobInfoGcsServiceHandler; using ActorInfoHandler = ActorInfoGcsServiceHandler; using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; From 29f8c50a1ba109131b73c24c91dba4f307388efc Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 26 Aug 2025 10:12:30 -0700 Subject: [PATCH 0869/1566] [Core] Bind dashboard agent http server to localhost in addition to the node ip (#55910) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_common/network_utils.py | 12 ++ .../ray/_common/tests/test_network_utils.py | 115 +++++++++--------- python/ray/dashboard/agent.py | 4 +- python/ray/dashboard/http_server_agent.py | 9 +- python/ray/util/client/server/proxier.py | 4 +- python/ray/util/client/server/server.py | 4 +- 6 files changed, 85 insertions(+), 63 deletions(-) diff --git a/python/ray/_common/network_utils.py b/python/ray/_common/network_utils.py index 8b3c510a09e7..952559142398 100644 --- a/python/ray/_common/network_utils.py +++ b/python/ray/_common/network_utils.py @@ -42,3 +42,15 @@ def build_address(host: str, port: Union[int, str]) -> str: return f"[{host}]:{port}" # IPv4 address or hostname return f"{host}:{port}" + + +def is_localhost(host: str) -> bool: + """Check if the given host string represents a localhost address. + + Args: + host: The hostname or IP address to check. + + Returns: + True if the host is a localhost address, False otherwise. + """ + return host in ("localhost", "127.0.0.1", "::1") diff --git a/python/ray/_common/tests/test_network_utils.py b/python/ray/_common/tests/test_network_utils.py index 2eee263f9a29..98b070cf7b6c 100644 --- a/python/ray/_common/tests/test_network_utils.py +++ b/python/ray/_common/tests/test_network_utils.py @@ -1,70 +1,73 @@ import pytest import sys -from ray._common.network_utils import parse_address, build_address +from ray._common.network_utils import parse_address, build_address, is_localhost -class TestBuildAddress: - """Test cases for build_address function, matching C++ tests exactly.""" +def test_is_localhost(): + assert is_localhost("localhost") + assert is_localhost("127.0.0.1") + assert is_localhost("::1") + assert not is_localhost("8.8.8.8") + assert not is_localhost("2001:db8::1") + - @pytest.mark.parametrize( - "host,port,expected", - [ - # IPv4 - ("192.168.1.1", 8080, "192.168.1.1:8080"), - ("192.168.1.1", "8080", "192.168.1.1:8080"), - # IPv6 - ("::1", 8080, "[::1]:8080"), - ("::1", "8080", "[::1]:8080"), - ("2001:db8::1", 8080, "[2001:db8::1]:8080"), - ("2001:db8::1", "8080", "[2001:db8::1]:8080"), - # Hostname - ("localhost", 9000, "localhost:9000"), - ("localhost", "9000", "localhost:9000"), - ], - ) - def test_build_address(self, host, port, expected): - """Test building address strings from host and port.""" - result = build_address(host, port) - assert result == expected +@pytest.mark.parametrize( + "host,port,expected", + [ + # IPv4 + ("192.168.1.1", 8080, "192.168.1.1:8080"), + ("192.168.1.1", "8080", "192.168.1.1:8080"), + # IPv6 + ("::1", 8080, "[::1]:8080"), + ("::1", "8080", "[::1]:8080"), + ("2001:db8::1", 8080, "[2001:db8::1]:8080"), + ("2001:db8::1", "8080", "[2001:db8::1]:8080"), + # Hostname + ("localhost", 9000, "localhost:9000"), + ("localhost", "9000", "localhost:9000"), + ], +) +def test_build_address(host, port, expected): + """Test cases for build_address function, matching C++ tests exactly.""" + result = build_address(host, port) + assert result == expected -class TestParseAddress: +@pytest.mark.parametrize( + "address,expected", + [ + # IPv4 + ("192.168.1.1:8080", ("192.168.1.1", "8080")), + # IPv6:loopback address + ("[::1]:8080", ("::1", "8080")), + # IPv6 + ("[2001:db8::1]:8080", ("2001:db8::1", "8080")), + # Hostname:Port + ("localhost:9000", ("localhost", "9000")), + ], +) +def test_parse_valid_addresses(address, expected): """Test cases for parse_address function, matching C++ tests exactly.""" + result = parse_address(address) + assert result == expected - @pytest.mark.parametrize( - "address,expected", - [ - # IPv4 - ("192.168.1.1:8080", ("192.168.1.1", "8080")), - # IPv6:loopback address - ("[::1]:8080", ("::1", "8080")), - # IPv6 - ("[2001:db8::1]:8080", ("2001:db8::1", "8080")), - # Hostname:Port - ("localhost:9000", ("localhost", "9000")), - ], - ) - def test_parse_valid_addresses(self, address, expected): - """Test parsing valid addresses.""" - result = parse_address(address) - assert result == expected - @pytest.mark.parametrize( - "address", - [ - # bare IP or hostname - # should return None when no port is found - "::1", - "2001:db8::1", - "192.168.1.1", - "localhost", - ], - ) - def test_parse_bare_addresses(self, address): - """Test parsing bare addresses returns None.""" - result = parse_address(address) - assert result is None +@pytest.mark.parametrize( + "address", + [ + # bare IP or hostname + # should return None when no port is found + "::1", + "2001:db8::1", + "192.168.1.1", + "localhost", + ], +) +def test_parse_bare_addresses(address): + """Test parsing bare addresses returns None.""" + result = parse_address(address) + assert result is None if __name__ == "__main__": diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 976a9ee7e1a3..624efc5742bb 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -11,7 +11,7 @@ import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray._private import logging_utils -from ray._common.network_utils import build_address +from ray._common.network_utils import build_address, is_localhost from ray._private.process_watcher import create_check_raylet_task from ray._private.ray_constants import AGENT_GRPC_MAX_MESSAGE_LENGTH from ray._private.ray_logging import setup_component_logger @@ -113,7 +113,7 @@ def _init_non_minimal(self): ) try: add_port_to_grpc_server(self.server, build_address(self.ip, self.grpc_port)) - if self.ip != "127.0.0.1" and self.ip != "localhost": + if not is_localhost(self.ip): add_port_to_grpc_server(self.server, f"127.0.0.1:{self.grpc_port}") except Exception: # TODO(SongGuyang): Catch the exception here because there is diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index b71ba6c5a38b..cc3e20d85b87 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -7,7 +7,7 @@ import ray.dashboard.optional_utils as dashboard_optional_utils from ray._common.utils import get_or_create_event_loop -from ray._common.network_utils import build_address +from ray._common.network_utils import build_address, is_localhost from ray.dashboard.optional_deps import aiohttp, aiohttp_cors, hdrs logger = logging.getLogger(__name__) @@ -48,6 +48,13 @@ async def _start_site_with_retry( self.listen_port, ) await site.start() + if not is_localhost(self.ip): + local_site = aiohttp.web.TCPSite( + self.runner, + "127.0.0.1", + self.listen_port, + ) + await local_site.start() if attempt > 0: logger.info( f"Successfully started agent on port {self.listen_port} " diff --git a/python/ray/util/client/server/proxier.py b/python/ray/util/client/server/proxier.py index a952cffa8f58..8be870c566d7 100644 --- a/python/ray/util/client/server/proxier.py +++ b/python/ray/util/client/server/proxier.py @@ -28,7 +28,7 @@ from ray._private.services import ProcessInfo, start_ray_client_server from ray._private.tls_utils import add_port_to_grpc_server from ray._private.utils import detect_fate_sharing_support -from ray._common.network_utils import build_address +from ray._common.network_utils import build_address, is_localhost from ray.cloudpickle.compat import pickle from ray.job_config import JobConfig from ray.util.client.common import ( @@ -860,7 +860,7 @@ def serve_proxier( ray_client_pb2_grpc.add_RayletDriverServicer_to_server(task_servicer, server) ray_client_pb2_grpc.add_RayletDataStreamerServicer_to_server(data_servicer, server) ray_client_pb2_grpc.add_RayletLogStreamerServicer_to_server(logs_servicer, server) - if host != "127.0.0.1" and host != "localhost": + if not is_localhost(host): add_port_to_grpc_server(server, f"127.0.0.1:{port}") add_port_to_grpc_server(server, f"{host}:{port}") server.start() diff --git a/python/ray/util/client/server/server.py b/python/ray/util/client/server/server.py index 768ae2c2118a..f4194ae83fa0 100644 --- a/python/ray/util/client/server/server.py +++ b/python/ray/util/client/server/server.py @@ -27,7 +27,7 @@ from ray._private.ray_logging import setup_logger from ray._private.services import canonicalize_bootstrap_address_or_die from ray._private.tls_utils import add_port_to_grpc_server -from ray._common.network_utils import build_address +from ray._common.network_utils import build_address, is_localhost from ray.job_config import JobConfig from ray.util.client.common import ( CLIENT_SERVER_MAX_THREADS, @@ -787,7 +787,7 @@ def default_connect_handler( ray_client_pb2_grpc.add_RayletDriverServicer_to_server(task_servicer, server) ray_client_pb2_grpc.add_RayletDataStreamerServicer_to_server(data_servicer, server) ray_client_pb2_grpc.add_RayletLogStreamerServicer_to_server(logs_servicer, server) - if host != "127.0.0.1" and host != "localhost": + if not is_localhost(host): add_port_to_grpc_server(server, f"127.0.0.1:{port}") add_port_to_grpc_server(server, f"{host}:{port}") current_handle = ClientServerHandle( From d730964d349a1bfe01a6fb1cbbdbf32a1f23f6b2 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Tue, 26 Aug 2025 10:27:49 -0700 Subject: [PATCH 0870/1566] [data] Update `repartition` docs for streaming repartition (#55808) Signed-off-by: Douglas Strodtman --- doc/source/data/images/dataset-shuffle.svg | 2 +- python/ray/data/dataset.py | 12 +++++++----- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/doc/source/data/images/dataset-shuffle.svg b/doc/source/data/images/dataset-shuffle.svg index 6745724c722d..018f877fb728 100644 --- a/doc/source/data/images/dataset-shuffle.svg +++ b/doc/source/data/images/dataset-shuffle.svg @@ -1 +1 @@ - + \ No newline at end of file diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 2d619381c66f..2254cc7fb90a 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -1494,7 +1494,6 @@ def filter( logical_plan = LogicalPlan(op, self.context) return Dataset(plan, logical_plan) - @AllToAllAPI @PublicAPI(api_group=SSR_API_GROUP) def repartition( self, @@ -1517,9 +1516,11 @@ def repartition( .. note:: - Repartition has two modes. If ``shuffle=False``, Ray Data performs the - minimal data movement needed to equalize block sizes. Otherwise, Ray Data - performs a full distributed shuffle. + Repartition has three modes: + + * When ``num_blocks`` and ``shuffle=True`` are specified Ray Data performs a full distributed shuffle producing exactly ``num_blocks`` blocks. + * When ``num_blocks`` and ``shuffle=False`` are specified, Ray Data does NOT perform full shuffle, instead opting in for splitting and combining of the blocks attempting to minimize the necessary data movement (relative to full-blown shuffle). Exactly ``num_blocks`` will be produced. + * If ``target_num_rows_per_block`` is set (exclusive with ``num_blocks`` and ``shuffle``), streaming repartitioning will be executed, where blocks will be made to carry no more than ``target_num_rows_per_block``. Smaller blocks will be combined into bigger ones up to ``target_num_rows_per_block`` as well. .. image:: /data/images/dataset-shuffle.svg :align: center @@ -1538,7 +1539,8 @@ def repartition( Args: num_blocks: Number of blocks after repartitioning. target_num_rows_per_block: [Experimental] The target number of rows per block to - repartition. Note that either `num_blocks` or + repartition. Performs streaming repartitioning of the dataset (no shuffling). + Note that either `num_blocks` or `target_num_rows_per_block` must be set, but not both. When `target_num_rows_per_block` is set, it only repartitions :class:`Dataset` :ref:`blocks ` that are larger than From c517534414b23f8a05ff2d998fab55a9dd375d14 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 26 Aug 2025 10:41:15 -0700 Subject: [PATCH 0871/1566] [data] truncate sequences in sanitize for struct (#55818) ## Why are these changes needed? `input_files` and other lists can be quite large. We assume that user args aren't that many (and therefore dictionaries shouldn't need to be truncated), and that Logical Operators aren't deeply nested. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/metadata_exporter.py | 16 +++++++++++----- python/ray/data/tests/test_state_export.py | 6 ++++++ 2 files changed, 17 insertions(+), 5 deletions(-) diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index 17150c5b006c..3ce64c3aef6f 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -157,7 +157,7 @@ class DatasetMetadata: state: str -def _add_ellipsis(s: str, truncate_length: int) -> str: +def _add_ellipsis_for_string(s: str, truncate_length: int) -> str: if len(s) > truncate_length: return s[:truncate_length] + "..." return s @@ -175,18 +175,24 @@ def sanitize_for_struct(obj, truncate_length=DEFAULT_TRUNCATION_LENGTH): # protobuf Struct key names must be strings. return {str(k): sanitize_for_struct(v, truncate_length) for k, v in obj.items()} elif isinstance(obj, str): - return _add_ellipsis(obj, truncate_length) + return _add_ellipsis_for_string(obj, truncate_length) elif isinstance(obj, (Sequence, set)): # Convert all sequence-like types (lists, tuples, sets, bytes, other sequences) to lists - return [sanitize_for_struct(v, truncate_length=truncate_length) for v in obj] + res = [] + for i, v in enumerate(obj): + if i >= truncate_length: + res.append("...") + break + res.append(sanitize_for_struct(v, truncate_length)) + return res else: try: if is_dataclass(obj): return sanitize_for_struct(asdict(obj), truncate_length) - return _add_ellipsis(str(obj), truncate_length) + return _add_ellipsis_for_string(str(obj), truncate_length) except Exception: unk_name = f"{UNKNOWN}: {type(obj).__name__}" - return _add_ellipsis(unk_name, truncate_length) + return _add_ellipsis_for_string(unk_name, truncate_length) def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index 570927446d55..4bacfbbb6ffe 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -624,6 +624,12 @@ def __str__(self): }, 100, ), + # Test sequence truncation - list longer than truncate_length gets truncated + ( + [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], + ["1", "2", "3", "..."], # Only first 3 elements after truncation + ... + 3, + ), ], ) def test_sanitize_for_struct(input_obj, expected_output, truncate_length): From af67d4a488d179e56a8c3c8b4ab3d947ee92dfc2 Mon Sep 17 00:00:00 2001 From: dragongu <38997200+dragongu@users.noreply.github.com> Date: Wed, 27 Aug 2025 01:47:19 +0800 Subject: [PATCH 0872/1566] [data] Add DownstreamCapacityBackpressurePolicy based on downstream processing capacity (#55463) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary Implement a downstream processing capacity-based backpressure mechanism to address stability and performance issues caused by unbalanced processing speeds across pipeline operators due to user misconfigurations, instance preemptions, and cluster resource scaling. ## Problem Statement Current Ray Data pipelines face several critical challenges: ### 1. Performance & Stability Issues - Large amounts of objects accumulate in memory while downstream operators cannot consume them timely - Memory resource waste and potential spilling leads to significant performance degradation - Pipeline instability due to memory pressure ### 2. Resource Waste in Dynamic Environments - In preemption scenarios, the situation becomes worse as large amounts of objects are repeatedly rebuilt when workers are preempted - Inefficient resource utilization due to upstream-downstream speed mismatch - Wasted compute resources on processing data that cannot be consumed ### 3. Complex Configuration Requirements - Users find it difficult to configure reasonable parallelism ratios - Inappropriate configurations lead to resource waste or insufficient throughput - Especially challenging on elastic resources where capacity changes dynamically ## Solution This PR introduces `DownstreamCapacityBackpressurePolicy` that provides: ### 1. Simplified User Configuration with Adaptive Concurrency - Ray Data automatically adjusts parallelism based on actual pipeline performance - When upstream is blocked due to backpressure, resources are released to allow downstream scaling up - Self-adaptive mechanism reduces the need for manual tuning and complex configuration ### 2. Consistent Pipeline Throughput - Objects output by upstream operators are consumed by downstream as quickly as possible - Ensures stability, saves memory resources, and avoids unnecessary object rebuilding risks - Maintains balanced flow throughout the entire pipeline ## Key Benefits ### 🚀 Performance Improvements - Prevents memory bloat and reduces object spilling - Maintains optimal memory utilization across the pipeline - Eliminates performance degradation from memory pressure ### 🛡️ Enhanced Stability - Handles instance preemptions gracefully - Reduces object rebuilding in dynamic environments - Maintains pipeline stability under varying cluster conditions ### ⚙️ Simplified Operations - Reduces complex configuration requirements - Provides self-adaptive parallelism adjustment - Works effectively on elastic resources ### 💰 Resource Efficiency - Prevents resource waste from unbalanced processing - Optimizes resource allocation across pipeline stages - Reduces unnecessary compute overhead ## Configuration Users can configure the backpressure behavior via DataContext: ```python ctx = ray.data.DataContext.get_current() # Set ratio threshold (default: inf, disabled) ctx.downstream_capacity_backpressure_ratio = 2.0 # Set absolute threshold (default: sys.maxsize, disabled) ctx.downstream_capacity_backpressure_max_queued_bundles = 4000 ``` ### Default Behavior - By default, backpressure is disabled (thresholds set to infinity) to maintain backward compatibility - Users can enable it by setting appropriate threshold values ## Impact & Results This implementation successfully addresses the core challenges: ✅ **Performance & Stability**: Eliminates memory pressure and spilling issues ✅ **Resource Efficiency**: Prevents waste in preemption scenarios and dynamic environments ✅ **Configuration Simplicity**: Reduces complex user configuration requirements ✅ **Adaptive Throughput**: Maintains consistent pipeline performance The solution provides a foundation for more intelligent, self-adaptive Ray Data pipelines that can handle dynamic cluster conditions while maintaining optimal performance and resource utilization. --- ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: dragongu Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 14 ++ .../autoscaling_actor_pool.py | 3 + .../execution/backpressure_policy/__init__.py | 5 + ...downstream_capacity_backpressure_policy.py | 94 +++++++++++++ python/ray/data/context.py | 3 + ...downstream_capacity_backpressure_policy.py | 127 ++++++++++++++++++ 6 files changed, 246 insertions(+) create mode 100644 python/ray/data/_internal/execution/backpressure_policy/downstream_capacity_backpressure_policy.py create mode 100644 python/ray/data/tests/test_downstream_capacity_backpressure_policy.py diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 59bc8b57c741..0383364d6ced 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -1323,6 +1323,20 @@ py_test( ], ) +py_test( + name = "test_downstream_capacity_backpressure_policy", + size = "medium", + srcs = ["tests/test_downstream_capacity_backpressure_policy.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_backpressure_e2e", size = "large", diff --git a/python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py b/python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py index 97d4dc589a18..f6145a4c175f 100644 --- a/python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py +++ b/python/ray/data/_internal/actor_autoscaler/autoscaling_actor_pool.py @@ -109,3 +109,6 @@ def per_actor_resource_usage(self) -> ExecutionResources: def get_pool_util(self) -> float: """Calculate the utilization of the given actor pool.""" ... + + def max_concurrent_tasks(self) -> int: + return self.max_actor_concurrency() * self.num_running_actors() diff --git a/python/ray/data/_internal/execution/backpressure_policy/__init__.py b/python/ray/data/_internal/execution/backpressure_policy/__init__.py index e08fd3a5f55b..c0aad671df10 100644 --- a/python/ray/data/_internal/execution/backpressure_policy/__init__.py +++ b/python/ray/data/_internal/execution/backpressure_policy/__init__.py @@ -2,6 +2,9 @@ from .backpressure_policy import BackpressurePolicy from .concurrency_cap_backpressure_policy import ConcurrencyCapBackpressurePolicy +from .downstream_capacity_backpressure_policy import ( + DownstreamCapacityBackpressurePolicy, +) from .resource_budget_backpressure_policy import ResourceBudgetBackpressurePolicy from ray.data.context import DataContext @@ -14,6 +17,7 @@ ENABLED_BACKPRESSURE_POLICIES = [ ConcurrencyCapBackpressurePolicy, ResourceBudgetBackpressurePolicy, + DownstreamCapacityBackpressurePolicy, ] ENABLED_BACKPRESSURE_POLICIES_CONFIG_KEY = "backpressure_policies.enabled" @@ -33,6 +37,7 @@ def get_backpressure_policies( __all__ = [ "BackpressurePolicy", "ConcurrencyCapBackpressurePolicy", + "DownstreamCapacityBackpressurePolicy", "ENABLED_BACKPRESSURE_POLICIES_CONFIG_KEY", "get_backpressure_policies", ] diff --git a/python/ray/data/_internal/execution/backpressure_policy/downstream_capacity_backpressure_policy.py b/python/ray/data/_internal/execution/backpressure_policy/downstream_capacity_backpressure_policy.py new file mode 100644 index 000000000000..bf1fb57dc852 --- /dev/null +++ b/python/ray/data/_internal/execution/backpressure_policy/downstream_capacity_backpressure_policy.py @@ -0,0 +1,94 @@ +import logging +from typing import TYPE_CHECKING + +from .backpressure_policy import BackpressurePolicy +from ray.data._internal.execution.operators.actor_pool_map_operator import ( + ActorPoolMapOperator, +) +from ray.data.context import DataContext + +if TYPE_CHECKING: + from ray.data._internal.execution.interfaces.physical_operator import ( + PhysicalOperator, + ) + from ray.data._internal.execution.resource_manager import ResourceManager + from ray.data._internal.execution.streaming_executor_state import Topology + +logger = logging.getLogger(__name__) + + +class DownstreamCapacityBackpressurePolicy(BackpressurePolicy): + """Backpressure policy based on downstream processing capacity. + + This policy triggers backpressure when the output bundles size exceeds both: + 1. A ratio threshold multiplied by the number of running tasks in downstream operators + 2. An absolute threshold for the output bundles size + + The policy monitors actual downstream processing capacity by tracking the number + of currently running tasks rather than configured parallelism. This approach + ensures effective backpressure even when cluster resources are insufficient or + scaling is slow, preventing memory pressure and maintaining pipeline stability. + + Key benefits: + - Prevents memory bloat from unprocessed output objects + - Adapts to actual cluster conditions and resource availability + - Maintains balanced throughput across pipeline operators + - Reduces object spilling and unnecessary rebuilds + """ + + def __init__( + self, + data_context: DataContext, + topology: "Topology", + resource_manager: "ResourceManager", + ): + super().__init__(data_context, topology, resource_manager) + self._backpressure_concurrency_ratio = ( + self._data_context.downstream_capacity_backpressure_ratio + ) + self._backpressure_max_queued_bundles = ( + self._data_context.downstream_capacity_backpressure_max_queued_bundles + ) + self._backpressure_disabled = ( + self._backpressure_concurrency_ratio is None + or self._backpressure_max_queued_bundles is None + ) + + def _max_concurrent_tasks(self, op: "PhysicalOperator") -> int: + if isinstance(op, ActorPoolMapOperator): + return sum( + [ + actor_pool.max_concurrent_tasks() + for actor_pool in op.get_autoscaling_actor_pools() + ] + ) + return op.num_active_tasks() + + def can_add_input(self, op: "PhysicalOperator") -> bool: + """Determine if we can add input to the operator based on downstream capacity.""" + if self._backpressure_disabled: + return True + for output_dependency in op.output_dependencies: + total_enqueued_input_bundles = self._topology[ + output_dependency + ].total_enqueued_input_bundles() + + avg_inputs_per_task = ( + output_dependency.metrics.num_task_inputs_processed + / max(output_dependency.metrics.num_tasks_finished, 1) + ) + outstanding_tasks = total_enqueued_input_bundles / max( + avg_inputs_per_task, 1 + ) + max_allowed_outstanding = ( + self._max_concurrent_tasks(output_dependency) + * self._backpressure_concurrency_ratio + ) + + if ( + total_enqueued_input_bundles > self._backpressure_max_queued_bundles + and outstanding_tasks > max_allowed_outstanding + ): + return False + + return True diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 8c8b2c9023a5..2bbca500edcf 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -534,6 +534,9 @@ class DataContext: default_factory=_issue_detectors_config_factory ) + downstream_capacity_backpressure_ratio: float = None + downstream_capacity_backpressure_max_queued_bundles: int = None + def __post_init__(self): # The additonal ray remote args that should be added to # the task-pool-based data tasks. diff --git a/python/ray/data/tests/test_downstream_capacity_backpressure_policy.py b/python/ray/data/tests/test_downstream_capacity_backpressure_policy.py new file mode 100644 index 000000000000..4acec6c01852 --- /dev/null +++ b/python/ray/data/tests/test_downstream_capacity_backpressure_policy.py @@ -0,0 +1,127 @@ +from unittest.mock import MagicMock + +import pytest + +from ray.data._internal.execution.backpressure_policy.downstream_capacity_backpressure_policy import ( + DownstreamCapacityBackpressurePolicy, +) +from ray.data._internal.execution.interfaces.physical_operator import ( + OpRuntimeMetrics, + PhysicalOperator, +) +from ray.data._internal.execution.operators.actor_pool_map_operator import ( + ActorPoolMapOperator, +) +from ray.data._internal.execution.streaming_executor_state import OpState, Topology +from ray.data.context import DataContext + + +class TestDownstreamCapacityBackpressurePolicy: + def _mock_operator( + self, + op_class: PhysicalOperator = PhysicalOperator, + num_enqueued_input_bundles: int = 0, + num_task_inputs_processed: int = 0, + num_tasks_finished: int = 0, + max_concurrent_tasks: int = 100, + ): + """Helper method to create mock operator.""" + mock_operator = MagicMock(spec=op_class) + mock_operator.metrics = MagicMock(spec=OpRuntimeMetrics) + mock_operator.metrics.num_task_inputs_processed = num_task_inputs_processed + mock_operator.metrics.num_tasks_finished = num_tasks_finished + mock_operator.num_active_tasks.return_value = max_concurrent_tasks + + op_state = MagicMock(spec=OpState) + op_state.total_enqueued_input_bundles.return_value = num_enqueued_input_bundles + return mock_operator, op_state + + def _mock_actor_pool_map_operator( + self, + num_enqueued_input_bundles: int, + num_task_inputs_processed: int, + num_tasks_finished: int, + max_concurrent_tasks: int = 100, + ): + """Helper method to create mock actor pool map operator.""" + op, op_state = self._mock_operator( + ActorPoolMapOperator, + num_enqueued_input_bundles, + num_task_inputs_processed, + num_tasks_finished, + max_concurrent_tasks, + ) + actor_pool = MagicMock( + spec="ray.data._internal.execution.operators.actor_pool_map_operator._ActorPool" + ) + actor_pool.max_concurrent_tasks = MagicMock(return_value=max_concurrent_tasks) + op.get_autoscaling_actor_pools.return_value = [actor_pool] + return op, op_state + + def _create_policy( + self, data_context: DataContext = None, topology: Topology = None + ): + """Helper method to create policy instance.""" + context = data_context or self.context + return DownstreamCapacityBackpressurePolicy( + data_context=context, + topology=topology, + resource_manager=MagicMock(), + ) + + @pytest.mark.parametrize( + "mock_method", + [ + (_mock_operator), + (_mock_actor_pool_map_operator), + ], + ) + @pytest.mark.parametrize( + "num_enqueued, num_task_inputs_processed, num_tasks_finished, backpressure_ratio, max_queued_bundles, expected_result, test_name", + [ + (100, 100, 10, 2, 4000, True, "no_backpressure_low_queue"), + (5000, 100, 10, 2, 4000, False, "high_queue_pressure"), + (100, 0, 0, 2, 400, True, "zero_inputs_protection"), + (1000000, 1, 1, None, None, True, "default disabled"), + ], + ) + def test_backpressure_conditions( + self, + mock_method, + num_enqueued, + num_task_inputs_processed, + num_tasks_finished, + backpressure_ratio, + max_queued_bundles, + expected_result, + test_name, + ): + """Parameterized test covering various backpressure conditions.""" + context = DataContext() + context.downstream_capacity_backpressure_ratio = backpressure_ratio + context.downstream_capacity_backpressure_max_queued_bundles = max_queued_bundles + + op, op_state = self._mock_operator(PhysicalOperator) + op_output_dep, op_output_state = mock_method( + self, + num_enqueued_input_bundles=num_enqueued, + num_task_inputs_processed=num_task_inputs_processed, + num_tasks_finished=num_tasks_finished, + ) + op.output_dependencies = [op_output_dep] + + policy = self._create_policy( + context, topology={op: op_state, op_output_dep: op_output_state} + ) + result = policy.can_add_input(op) + + assert result == expected_result, test_name + assert ( + backpressure_ratio is None or max_queued_bundles is None + ) == policy._backpressure_disabled, test_name + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) From 58dd2711525b3f5af6f1e68c5cc029db03e1d7f7 Mon Sep 17 00:00:00 2001 From: Andrew Grosser Date: Tue, 26 Aug 2025 10:50:03 -0700 Subject: [PATCH 0873/1566] added ssl to ray serve (#55228) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Ray serve is exposed to man in the middle attacks #55219 --------- Signed-off-by: Goutam V Signed-off-by: Andrew Grosser Signed-off-by: Justin Yu Signed-off-by: abrar Signed-off-by: Lonnie Liu Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: elliot-barn Signed-off-by: Yicheng-Lu-llll Signed-off-by: Potato Signed-off-by: Cuong Nguyen Signed-off-by: Zac Policzer Signed-off-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Signed-off-by: Alexey Kudinkin Signed-off-by: Edward Oakes Signed-off-by: Seiji Eicher Signed-off-by: 杨睿 <595403043@qq.com> Signed-off-by: dayshah Signed-off-by: Sagar Sumit Signed-off-by: axreldable Signed-off-by: kaihsun Signed-off-by: Kai-Hsun Chen Signed-off-by: Kai-Hsun Chen Signed-off-by: Jiajun Yao Signed-off-by: Timothy Seah Signed-off-by: kevin Signed-off-by: joshlee Signed-off-by: 400Ping Signed-off-by: xgui Signed-off-by: Dhyey Shah Signed-off-by: harshit Signed-off-by: anmol Signed-off-by: Kit Lee <7000003+wingkitlee0@users.noreply.github.com> Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Signed-off-by: MengqingCao Signed-off-by: sampan Signed-off-by: iamjustinhsu Signed-off-by: zac Signed-off-by: Elliot Barnwell Signed-off-by: Mengjin Yan Signed-off-by: myan Signed-off-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Signed-off-by: Rui Qiao Signed-off-by: Linkun Signed-off-by: Balaji Veeramani Signed-off-by: Markus Signed-off-by: Gagandeep Singh Signed-off-by: akyang-anyscale Signed-off-by: Alan Guo Signed-off-by: haotian Signed-off-by: Howie Tien Signed-off-by: will.lin Signed-off-by: Richard Liaw Signed-off-by: Ryan O'Leary Signed-off-by: Andrew Sy Kim Signed-off-by: Matvei Pashkovskii Signed-off-by: Kishanthan Thangarajah Signed-off-by: my-vegetable-has-exploded Signed-off-by: Neil Girdhar Signed-off-by: Nikhil Ghosh Signed-off-by: win5923 Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Signed-off-by: cong.qian Signed-off-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: doyoung Signed-off-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Signed-off-by: simonsays1980 Signed-off-by: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Signed-off-by: Sampan S Nayak Signed-off-by: vincenthhan Signed-off-by: jeffreyjeffreywang Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: avigyabb Signed-off-by: avibasnet31 Signed-off-by: Tanner Wood Signed-off-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Signed-off-by: Ricardo Decal Signed-off-by: Matthew Signed-off-by: Rueian Signed-off-by: tianyi-ge Co-authored-by: goutamvenkat-anyscale Co-authored-by: Justin Yu Co-authored-by: Abrar Sheikh Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Co-authored-by: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Co-authored-by: Elliot Barnwell Co-authored-by: Yicheng-Lu-llll <51814063+Yicheng-Lu-llll@users.noreply.github.com> Co-authored-by: Potato Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Zac Policzer Co-authored-by: Edward Oakes Co-authored-by: Alexey Kudinkin Co-authored-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Co-authored-by: 杨睿 <595403043@qq.com> Co-authored-by: Ibrahim Rabbani Co-authored-by: Dhyey Shah Co-authored-by: Sagar Sumit Co-authored-by: Aleksei Starikov Co-authored-by: Kai-Hsun Chen Co-authored-by: Stephanie Wang Co-authored-by: Jiajun Yao Co-authored-by: Timothy Seah Co-authored-by: Timothy Seah Co-authored-by: Kevin H. Luu Co-authored-by: Qiaolin Yu Co-authored-by: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Co-authored-by: Ping Co-authored-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: harshit-anyscale Co-authored-by: Anmol Singh Co-authored-by: anmol Co-authored-by: Kit Lee <7000003+wingkitlee0@users.noreply.github.com> Co-authored-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: matthewdeng Co-authored-by: matthewdeng Co-authored-by: Mengqing Cao Co-authored-by: Sampan S Nayak Co-authored-by: sampan Co-authored-by: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Co-authored-by: Sven Mika Co-authored-by: Mengjin Yan Co-authored-by: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Co-authored-by: Nary Yeh <60069744+machichima@users.noreply.github.com> Co-authored-by: lkchen Co-authored-by: Balaji Veeramani Co-authored-by: Markus <44006014+minosvasilias@users.noreply.github.com> Co-authored-by: czgdp1807 Co-authored-by: akyang-anyscale Co-authored-by: Alan Guo Co-authored-by: Howie Tien Co-authored-by: Balaji Veeramani Co-authored-by: simonsays1980 Co-authored-by: William Lin Co-authored-by: Richard Liaw Co-authored-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Andrew Sy Kim Co-authored-by: Matvei Pashkovskii Co-authored-by: Kourosh Hakhamaneshi Co-authored-by: Kishanthan Thangarajah Co-authored-by: yi wang <48236141+my-vegetable-has-exploded@users.noreply.github.com> Co-authored-by: Neil Girdhar Co-authored-by: Nikhil G Co-authored-by: Jun-Hao Wan Co-authored-by: Kai-Hsun Chen Co-authored-by: Stephanie Wang Co-authored-by: coqian Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Co-authored-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Co-authored-by: vincenthhan <46981434+BestVIncent@users.noreply.github.com> Co-authored-by: vincenthhan Co-authored-by: Jeffrey Wang Co-authored-by: jeffreyjeffreywang Co-authored-by: Ibrahim Rabbani Co-authored-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Co-authored-by: avibasnet31 Co-authored-by: tannerdwood <71387269+tannerdwood@users.noreply.github.com> Co-authored-by: Tanner Wood Co-authored-by: Ricardo Decal Co-authored-by: Kamil Kaczmarek Co-authored-by: Hassam Ullah Sheikh Co-authored-by: MatthewCWeston <61944935+MatthewCWeston@users.noreply.github.com> Co-authored-by: Artur Niederfahrenhorst Co-authored-by: Artur Niederfahrenhorst Co-authored-by: Rueian Co-authored-by: Tianyi Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/http_util.py | 18 + python/ray/serve/_private/utils.py | 24 +- python/ray/serve/config.py | 18 + python/ray/serve/schema.py | 27 +- python/ray/serve/tests/BUILD | 1 + python/ray/serve/tests/test_certs/ca.crt | 21 + python/ray/serve/tests/test_certs/server.crt | 21 + python/ray/serve/tests/test_certs/server.csr | 17 + python/ray/serve/tests/test_certs/server.key | 28 ++ python/ray/serve/tests/test_https_proxy.py | 495 +++++++++++++++++++ 10 files changed, 667 insertions(+), 3 deletions(-) create mode 100644 python/ray/serve/tests/test_certs/ca.crt create mode 100644 python/ray/serve/tests/test_certs/server.crt create mode 100644 python/ray/serve/tests/test_certs/server.csr create mode 100644 python/ray/serve/tests/test_certs/server.key create mode 100644 python/ray/serve/tests/test_https_proxy.py diff --git a/python/ray/serve/_private/http_util.py b/python/ray/serve/_private/http_util.py index 2da5b8223964..93880b65f77b 100644 --- a/python/ray/serve/_private/http_util.py +++ b/python/ray/serve/_private/http_util.py @@ -714,6 +714,23 @@ async def start_asgi_http_server( # has no use to us. logging.getLogger("uvicorn.error").level = logging.CRITICAL + # Configure SSL if certificates are provided + ssl_kwargs = {} + if http_options.ssl_keyfile and http_options.ssl_certfile: + ssl_kwargs = { + "ssl_keyfile": http_options.ssl_keyfile, + "ssl_certfile": http_options.ssl_certfile, + } + if http_options.ssl_keyfile_password: + ssl_kwargs["ssl_keyfile_password"] = http_options.ssl_keyfile_password + if http_options.ssl_ca_certs: + ssl_kwargs["ssl_ca_certs"] = http_options.ssl_ca_certs + + logger.info( + f"Starting HTTPS server on {http_options.host}:{http_options.port} " + f"with SSL certificate: {http_options.ssl_certfile}" + ) + # NOTE: We have to use lower level uvicorn Config and Server # class because we want to run the server as a coroutine. The only # alternative is to call uvicorn.run which is blocking. @@ -730,6 +747,7 @@ async def start_asgi_http_server( access_log=False, log_level=None, log_config=None, + **ssl_kwargs, ) ) diff --git a/python/ray/serve/_private/utils.py b/python/ray/serve/_private/utils.py index 3cfad95ff0cd..924702c704da 100644 --- a/python/ray/serve/_private/utils.py +++ b/python/ray/serve/_private/utils.py @@ -27,7 +27,6 @@ from ray.actor import ActorHandle from ray.serve._private.common import RequestMetadata, ServeComponentType from ray.serve._private.constants import HTTP_PROXY_TIMEOUT, SERVE_LOGGER_NAME -from ray.serve.config import gRPCOptions from ray.types import ObjectRef from ray.util.serialization import StandaloneSerializationContext @@ -44,6 +43,27 @@ FILE_NAME_REGEX = r"[^\x20-\x7E]|[<>:\"/\\|?*]" MESSAGE_PACK_OFFSET = 9 + + +def validate_ssl_config( + ssl_certfile: Optional[str], ssl_keyfile: Optional[str] +) -> None: + """Validate SSL configuration for HTTPS support. + + Args: + ssl_certfile: Path to SSL certificate file + ssl_keyfile: Path to SSL private key file + + Raises: + ValueError: If only one of ssl_certfile or ssl_keyfile is provided + """ + if (ssl_certfile and not ssl_keyfile) or (ssl_keyfile and not ssl_certfile): + raise ValueError( + "Both ssl_keyfile and ssl_certfile must be provided together " + "to enable HTTPS." + ) + + GENERATOR_COMPOSITION_NOT_SUPPORTED_ERROR = RuntimeError( "Streaming deployment handle results cannot be passed to " "downstream handle calls. If you have a use case requiring " @@ -612,7 +632,7 @@ def wait_for_interrupt() -> None: raise -def is_grpc_enabled(grpc_config: gRPCOptions) -> bool: +def is_grpc_enabled(grpc_config) -> bool: return grpc_config.port > 0 and len(grpc_config.grpc_servicer_functions) > 0 diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index c58570eff39b..31b3ba84e825 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -28,6 +28,7 @@ DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_LOGGER_NAME, ) +from ray.serve._private.utils import validate_ssl_config from ray.util.annotations import Deprecated, PublicAPI logger = logging.getLogger(SERVE_LOGGER_NAME) @@ -410,6 +411,13 @@ class HTTPOptions(BaseModel): - request_timeout_s: End-to-end timeout for HTTP requests. - keep_alive_timeout_s: Duration to keep idle connections alive when no requests are ongoing. + - ssl_keyfile: Path to the SSL key file for HTTPS. If provided with + ssl_certfile, the HTTP server will use HTTPS. + - ssl_certfile: Path to the SSL certificate file for HTTPS. If provided + with ssl_keyfile, the HTTP server will use HTTPS. + - ssl_keyfile_password: Optional password for the SSL key file. + - ssl_ca_certs: Optional path to CA certificate file for client certificate + verification. - location: [DEPRECATED: use `proxy_location` field instead] The deployment location of HTTP servers: @@ -433,6 +441,10 @@ class HTTPOptions(BaseModel): root_path: str = "" request_timeout_s: Optional[float] = None keep_alive_timeout_s: int = DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S + ssl_keyfile: Optional[str] = None + ssl_certfile: Optional[str] = None + ssl_keyfile_password: Optional[str] = None + ssl_ca_certs: Optional[str] = None @validator("location", always=True) def location_backfill_no_server(cls, v, values): @@ -441,6 +453,12 @@ def location_backfill_no_server(cls, v, values): return v + @validator("ssl_certfile") + def validate_ssl_certfile(cls, v, values): + ssl_keyfile = values.get("ssl_keyfile") + validate_ssl_config(v, ssl_keyfile) + return v + @validator("middlewares", always=True) def warn_for_middlewares(cls, v, values): if v: diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 5ba0d8e0a344..f9d49d079b07 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -32,7 +32,7 @@ SERVE_DEFAULT_APP_NAME, ) from ray.serve._private.deployment_info import DeploymentInfo -from ray.serve._private.utils import DEFAULT +from ray.serve._private.utils import DEFAULT, validate_ssl_config from ray.serve.config import ProxyLocation, RequestRouterConfig from ray.util.annotations import PublicAPI @@ -713,6 +713,31 @@ class HTTPOptionsSchema(BaseModel): "before closing them when no requests are ongoing. Defaults to " f"{DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S} seconds.", ) + ssl_keyfile: Optional[str] = Field( + default=None, + description="Path to the SSL key file for HTTPS. If provided with ssl_certfile, " + "the HTTP server will use HTTPS. Cannot be updated once Serve has started.", + ) + ssl_certfile: Optional[str] = Field( + default=None, + description="Path to the SSL certificate file for HTTPS. If provided with " + "ssl_keyfile, the HTTP server will use HTTPS. Cannot be updated once Serve " + "has started.", + ) + ssl_keyfile_password: Optional[str] = Field( + default=None, + description="Password for the SSL key file, if encrypted.", + ) + ssl_ca_certs: Optional[str] = Field( + default=None, + description="Path to the CA certificate file for verifying client certificates.", + ) + + @validator("ssl_certfile") + def validate_ssl_certfile(cls, v, values): + ssl_keyfile = values.get("ssl_keyfile") + validate_ssl_config(v, ssl_keyfile) + return v @PublicAPI(stability="stable") diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index 997cc2de7a2b..174d782d925d 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -82,6 +82,7 @@ py_test_module_list( "test_healthcheck.py", "test_http_headers.py", "test_http_routes.py", + "test_https_proxy.py", "test_max_replicas_per_node.py", "test_multiplex.py", "test_proxy.py", diff --git a/python/ray/serve/tests/test_certs/ca.crt b/python/ray/serve/tests/test_certs/ca.crt new file mode 100644 index 000000000000..5b0a5e11bf42 --- /dev/null +++ b/python/ray/serve/tests/test_certs/ca.crt @@ -0,0 +1,21 @@ +-----BEGIN CERTIFICATE----- +MIIDfTCCAmWgAwIBAgIUYcUOt0aN1Ml/1WnFPB9gveNNniQwDQYJKoZIhvcNAQEL +BQAwZzELMAkGA1UEBhMCVVMxEzARBgNVBAgMCkNhbGlmb3JuaWExFjAUBgNVBAcM +DVNhbiBGcmFuY2lzY28xFzAVBgNVBAoMDlJheSBTZXJ2ZSBUZXN0MRIwEAYDVQQD +DAlsb2NhbGhvc3QwHhcNMjUwODIwMTgxODUzWhcNMjYwODIwMTgxODUzWjBnMQsw +CQYDVQQGEwJVUzETMBEGA1UECAwKQ2FsaWZvcm5pYTEWMBQGA1UEBwwNU2FuIEZy +YW5jaXNjbzEXMBUGA1UECgwOUmF5IFNlcnZlIFRlc3QxEjAQBgNVBAMMCWxvY2Fs +aG9zdDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAKYXcIirTR5AHb5V +T6yijOR8mvc6AXSKkmIKu7n2vaJ3Jrt7d6mPz/ScXlLYxq+mgt4avX/VozES0ARM +NcbqlHOcahgfyyN+/02q/Aimwbaf/FwiS5qyQfMXzFg70kydqlDlUsyE49qdFHEv +xx4ostLnTeyIpS7AS14qJXGeg5NE9Pm+XSs0HVBPZBaM6VCJl8/Pjog0qqffovGo +/qN8gVxnydg4ayTZ9nl+NNMivFJ/f5MUXmJiuFYAoZnwMiCy2QAU9TmdA5mCOGNZ +pv/KSSdqkVh7X6JNGB6OLgikCsObWxAJqq7WZgiHoc2WlXuN+U2SLuA0JLZZZr+t +zpw1DH0CAwEAAaMhMB8wHQYDVR0OBBYEFIey4ZBoVICZ7kAJv7K5kY/SHP6wMA0G +CSqGSIb3DQEBCwUAA4IBAQAg47MfYFykzDdynJnKf/Aqlp4bnT3GVEW3lRk8AMv9 +yrjwQeVKihiQLgC6b7ChyLUQWxcxJPqhzAIe/+sn9bAxz448oGMtU6ghHtxt13T2 +9VKsyyrjgZ3fbiFT5AFMYxwYlcaf1hJPE+PKKU3oUhYxUlEBKweDjTw7+7xym/Ix +hNYv36lDst/zwA1HKmvorDhCVOT3Y90deVA31NxFQbqNpeCjG6uiURAtO3jMan50 +m9U60cHjJBkSxCKCw4SQXOan9VKePIsHnZgIiDPmO25KYSJxeat92sHVtI3FZfrh +pN3cjQaXhMbJFO9ySv5tqr0KxUbymN56ynWkScMGbI0W +-----END CERTIFICATE----- diff --git a/python/ray/serve/tests/test_certs/server.crt b/python/ray/serve/tests/test_certs/server.crt new file mode 100644 index 000000000000..5b0a5e11bf42 --- /dev/null +++ b/python/ray/serve/tests/test_certs/server.crt @@ -0,0 +1,21 @@ +-----BEGIN CERTIFICATE----- +MIIDfTCCAmWgAwIBAgIUYcUOt0aN1Ml/1WnFPB9gveNNniQwDQYJKoZIhvcNAQEL +BQAwZzELMAkGA1UEBhMCVVMxEzARBgNVBAgMCkNhbGlmb3JuaWExFjAUBgNVBAcM +DVNhbiBGcmFuY2lzY28xFzAVBgNVBAoMDlJheSBTZXJ2ZSBUZXN0MRIwEAYDVQQD +DAlsb2NhbGhvc3QwHhcNMjUwODIwMTgxODUzWhcNMjYwODIwMTgxODUzWjBnMQsw +CQYDVQQGEwJVUzETMBEGA1UECAwKQ2FsaWZvcm5pYTEWMBQGA1UEBwwNU2FuIEZy +YW5jaXNjbzEXMBUGA1UECgwOUmF5IFNlcnZlIFRlc3QxEjAQBgNVBAMMCWxvY2Fs +aG9zdDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAKYXcIirTR5AHb5V +T6yijOR8mvc6AXSKkmIKu7n2vaJ3Jrt7d6mPz/ScXlLYxq+mgt4avX/VozES0ARM +NcbqlHOcahgfyyN+/02q/Aimwbaf/FwiS5qyQfMXzFg70kydqlDlUsyE49qdFHEv +xx4ostLnTeyIpS7AS14qJXGeg5NE9Pm+XSs0HVBPZBaM6VCJl8/Pjog0qqffovGo +/qN8gVxnydg4ayTZ9nl+NNMivFJ/f5MUXmJiuFYAoZnwMiCy2QAU9TmdA5mCOGNZ +pv/KSSdqkVh7X6JNGB6OLgikCsObWxAJqq7WZgiHoc2WlXuN+U2SLuA0JLZZZr+t +zpw1DH0CAwEAAaMhMB8wHQYDVR0OBBYEFIey4ZBoVICZ7kAJv7K5kY/SHP6wMA0G +CSqGSIb3DQEBCwUAA4IBAQAg47MfYFykzDdynJnKf/Aqlp4bnT3GVEW3lRk8AMv9 +yrjwQeVKihiQLgC6b7ChyLUQWxcxJPqhzAIe/+sn9bAxz448oGMtU6ghHtxt13T2 +9VKsyyrjgZ3fbiFT5AFMYxwYlcaf1hJPE+PKKU3oUhYxUlEBKweDjTw7+7xym/Ix +hNYv36lDst/zwA1HKmvorDhCVOT3Y90deVA31NxFQbqNpeCjG6uiURAtO3jMan50 +m9U60cHjJBkSxCKCw4SQXOan9VKePIsHnZgIiDPmO25KYSJxeat92sHVtI3FZfrh +pN3cjQaXhMbJFO9ySv5tqr0KxUbymN56ynWkScMGbI0W +-----END CERTIFICATE----- diff --git a/python/ray/serve/tests/test_certs/server.csr b/python/ray/serve/tests/test_certs/server.csr new file mode 100644 index 000000000000..3d26126664ef --- /dev/null +++ b/python/ray/serve/tests/test_certs/server.csr @@ -0,0 +1,17 @@ +-----BEGIN CERTIFICATE REQUEST----- +MIICrDCCAZQCAQAwZzELMAkGA1UEBhMCVVMxEzARBgNVBAgMCkNhbGlmb3JuaWEx +FjAUBgNVBAcMDVNhbiBGcmFuY2lzY28xFzAVBgNVBAoMDlJheSBTZXJ2ZSBUZXN0 +MRIwEAYDVQQDDAlsb2NhbGhvc3QwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEK +AoIBAQCmF3CIq00eQB2+VU+soozkfJr3OgF0ipJiCru59r2idya7e3epj8/0nF5S +2MavpoLeGr1/1aMxEtAETDXG6pRznGoYH8sjfv9NqvwIpsG2n/xcIkuaskHzF8xY +O9JMnapQ5VLMhOPanRRxL8ceKLLS503siKUuwEteKiVxnoOTRPT5vl0rNB1QT2QW +jOlQiZfPz46INKqn36LxqP6jfIFcZ8nYOGsk2fZ5fjTTIrxSf3+TFF5iYrhWAKGZ +8DIgstkAFPU5nQOZgjhjWab/ykknapFYe1+iTRgeji4IpArDm1sQCaqu1mYIh6HN +lpV7jflNki7gNCS2WWa/rc6cNQx9AgMBAAGgADANBgkqhkiG9w0BAQsFAAOCAQEA +igYR2ZQ4fmp339T/BGvXSDIjQQkecd9MeifdcXuN/2FZ7dhyfDWHjQadtohgXSZw +LwfUx43L+JcebMY8GyN/4JIAKA5hVqqvAiaMb+vRUItgku5M2WIpnPLVKQJHTUGC +aaDq6u7aS4eFcvuYGaFTUD7tNMOfRP8SfQL/sk2UqZVOCIxCFX9gLS/p4IyorUsb +VjdQBHRvOZnZCFMwmisquXXeGxtAPabUWMPLvSqcP/93WdjFwtrcscyY68s+AC6o +9sx1x3qjnTxnx+a8ho5f0p/JSUqye+G/gzqzB5WMZK5U7oiYgP0rEajU9odGIPSK +AqzWpVDtZBSr8FFamw4uqQ== +-----END CERTIFICATE REQUEST----- diff --git a/python/ray/serve/tests/test_certs/server.key b/python/ray/serve/tests/test_certs/server.key new file mode 100644 index 000000000000..de16d5454e9d --- /dev/null +++ b/python/ray/serve/tests/test_certs/server.key @@ -0,0 +1,28 @@ +-----BEGIN PRIVATE KEY----- +MIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggSkAgEAAoIBAQCmF3CIq00eQB2+ +VU+soozkfJr3OgF0ipJiCru59r2idya7e3epj8/0nF5S2MavpoLeGr1/1aMxEtAE +TDXG6pRznGoYH8sjfv9NqvwIpsG2n/xcIkuaskHzF8xYO9JMnapQ5VLMhOPanRRx +L8ceKLLS503siKUuwEteKiVxnoOTRPT5vl0rNB1QT2QWjOlQiZfPz46INKqn36Lx +qP6jfIFcZ8nYOGsk2fZ5fjTTIrxSf3+TFF5iYrhWAKGZ8DIgstkAFPU5nQOZgjhj +Wab/ykknapFYe1+iTRgeji4IpArDm1sQCaqu1mYIh6HNlpV7jflNki7gNCS2WWa/ +rc6cNQx9AgMBAAECggEAFj7SHLaiJ+i7KHCcBj7ok1Bjyl8OLizCebfUTY5QTH/x +mRoVUd7oIcFbxMmHUE6t/STPDV3GHgmAq5gFeonqrigHRwnjFvL91h+OOB5q7ZSJ ++VEX7TVDg1VEUkEDjq1t+qhsVDuBmm3VfL9tx4qjQNTSvq536UYUvMefp5MX2P54 +/7IDM9osP5VgeFIUx/d7QYymhgmVaSv+xcxxlZCwT3ib/wW7eU964FjkuRG8eein +zlyOwRufmg+eEvOUHN/4Fth0AUUirCMpflgRdcQtKs77FARiG8LybMGyDDsE7YBt +5f/UBZea2TQG9q4aGNUIHA869CCNKg2R27AtBpTtBQKBgQDd95GDIZMlEmR3GzpJ +6rqRHtfXj7BHUlzew+RCI1KhWkjRZqv2bavmeqRLpRdKd36aC+l+QallSW/MME+7 +JSgRMqqdQK2myLJnZOIcONjMlOn9xzEQGYUsKL4IiPkdP0lWdzJ6iqAHm/Xq7GxE +BJF5XkYD1NP2+y3dlZYNrmUGHwKBgQC/jrOCV7Y34IriUPHSQA1JaPZQDBBxwiNo +ifPYkRc5C0zwskiELnJGF34Y/fK06n73JyBh6WqMdu7+V/QKNCEgcKU45n+pnlAL +vx+xflfMknWEOhLdT31ca0kvxtGEomOD1MNV+b1cRYBlL/oMC2IpIKd0N/HFa3Nc +pDmLcBWB4wKBgAIHXD4dlXG2TFLGXe8FBTWEWaavuoW8W/rxQWnVVtEAuT+ot5Om +BvcxUcUbOi5FD1QrHbQ4t2qklDAClQf52/bkRqjvSWcH2JGXW3W0k06zYbwfEPS7 +tvrjWHFNhzFcPbhbmIuELthC9alzBb5NaGL6mJs6W8GbJB0tW9S+LlAzAoGBAIlB +h/B6Rs+s7fcSBuQfDyYttmhO7K2GbPan+niQJfKy3TOOm5VS7oC4rprbw7/MUqNn +frWJmdYCFmdawDtbdO0Yqdqmlo0EKdjw3pXAsMqdmuTe88tt/KZvHWbFcDU4YlQA +7OI662slRcW7ZdChi3lqs3H78BoETwnvhmgaLN7/AoGBAIVtEVcieOsasQ3Cje4L +mZxo9WFwtX4llH/CTZZeyek6VZBEWP8b3i1uh0uOzeiR7nDiwGEbHfXdvIvWrZqf +IC9Lo1D24uzE14XcKypFsYL5GAwtNhTAuP52tfV9V7DlS2QmxQt6hzx0/MhtdM3X +1XCsMrmi/WleIy611H2j0gUj +-----END PRIVATE KEY----- diff --git a/python/ray/serve/tests/test_https_proxy.py b/python/ray/serve/tests/test_https_proxy.py new file mode 100644 index 000000000000..051960eafd1d --- /dev/null +++ b/python/ray/serve/tests/test_https_proxy.py @@ -0,0 +1,495 @@ +import asyncio +import json +import os +import ssl +import tempfile + +import pytest +import requests +import websockets + +import ray +from ray import serve +from ray._private.tls_utils import generate_self_signed_tls_certs +from ray.serve.config import HTTPOptions + + +@pytest.fixture(scope="session") +def ssl_cert_and_key(): + """Generate SSL certificates using Ray's built-in utilities for testing.""" + # Generate certificate and key using Ray's utility + cert_contents, key_contents = generate_self_signed_tls_certs() + + # Create temp directory that persists for the session + temp_dir = tempfile.mkdtemp(prefix="ray_serve_https_test_") + + # Write server certificate and key + cert_path = os.path.join(temp_dir, "server.crt") + key_path = os.path.join(temp_dir, "server.key") + + with open(cert_path, "w") as f: + f.write(cert_contents) + with open(key_path, "w") as f: + f.write(key_contents) + + yield { + "key_path": key_path, + "cert_path": cert_path, + "temp_dir": temp_dir, + } + + # Cleanup + import shutil + + try: + shutil.rmtree(temp_dir) + except Exception: + pass # Ignore cleanup errors + + +@pytest.fixture +def https_serve_instance(ssl_cert_and_key): + """Start Ray Serve with HTTPS enabled.""" + # Ensure Ray is shutdown before starting + try: + ray.shutdown() + except Exception: + pass + + # Disable runtime env upload (dashboard should work now that it's built) + ray.init(runtime_env={"working_dir": None}) + serve.start( + http_options=HTTPOptions( + ssl_keyfile=ssl_cert_and_key["key_path"], + ssl_certfile=ssl_cert_and_key["cert_path"], + ) + ) + yield serve + serve.shutdown() + ray.shutdown() + + +class TestHTTPSProxy: + def test_https_basic_deployment(self, https_serve_instance): + """Test basic HTTPS deployment functionality.""" + + @serve.deployment + def hello(): + return "Hello HTTPS!" + + serve.run(hello.bind()) + + # Test HTTPS request with certificate verification disabled for self-signed cert + response = requests.get( + "https://localhost:8000/hello", + verify=False, # Skip cert verification for self-signed + ) + assert response.status_code == 200 + assert response.text == "Hello HTTPS!" + + def test_https_vs_http_requests(self, https_serve_instance): + """Test that HTTP requests fail when HTTPS is enabled.""" + + @serve.deployment + def echo(): + return "echo" + + serve.run(echo.bind()) + + # HTTPS request should succeed + https_response = requests.get("https://localhost:8000/echo", verify=False) + assert https_response.status_code == 200 + + # HTTP request should fail with connection error + with pytest.raises(requests.exceptions.ConnectionError): + requests.get("http://localhost:8000/echo", timeout=5) + + def test_https_with_fastapi_deployment(self, https_serve_instance): + """Test HTTPS with FastAPI-based deployment.""" + from fastapi import FastAPI + + app = FastAPI() + + @app.get("/items/{item_id}") + async def read_item(item_id: int): + return {"item_id": item_id, "secure": True} + + @serve.deployment + @serve.ingress(app) + class FastAPIDeployment: + pass + + serve.run(FastAPIDeployment.bind()) + + response = requests.get("https://localhost:8000/items/42", verify=False) + assert response.status_code == 200 + assert response.json() == {"item_id": 42, "secure": True} + + def test_https_concurrent_requests(self, https_serve_instance): + """Test HTTPS with concurrent requests.""" + import concurrent.futures + + @serve.deployment + def concurrent_handler(): + import time + + time.sleep(0.1) # Small delay to test concurrency + return "concurrent" + + serve.run(concurrent_handler.bind()) + + def make_request(): + return requests.get( + "https://localhost:8000/concurrent_handler", verify=False + ) + + # Send 10 concurrent requests + with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: + futures = [executor.submit(make_request) for _ in range(10)] + responses = [f.result() for f in futures] + + # All requests should succeed + for response in responses: + assert response.status_code == 200 + assert response.text == "concurrent" + + def test_https_large_payload(self, https_serve_instance): + """Test HTTPS with large payloads.""" + + @serve.deployment + class LargePayloadHandler: + def __call__(self, request): + # Return a large response (1MB) + large_data = "x" * (1024 * 1024) # 1MB string + return {"data": large_data, "size": len(large_data)} + + serve.run(LargePayloadHandler.bind()) + + response = requests.get( + "https://localhost:8000/LargePayloadHandler", verify=False + ) + assert response.status_code == 200 + data = response.json() + assert data["size"] == 1024 * 1024 + assert len(data["data"]) == 1024 * 1024 + + def test_https_websocket_with_fastapi(self, https_serve_instance): + """Test WebSocket functionality with FastAPI over HTTPS.""" + from fastapi import FastAPI, WebSocket, WebSocketDisconnect + + app = FastAPI() + + @app.websocket("/ws") + async def websocket_endpoint(websocket: WebSocket): + await websocket.accept() + try: + while True: + # Receive message from client + data = await websocket.receive_text() + message = json.loads(data) + + # Echo back with modification + response = { + "echo": message.get("message", ""), + "secure": True, + "protocol": "wss", + } + await websocket.send_text(json.dumps(response)) + except WebSocketDisconnect: + pass + + @serve.deployment + @serve.ingress(app) + class WebSocketDeployment: + pass + + serve.run(WebSocketDeployment.bind()) + + # Test WebSocket connection over HTTPS (wss://) + async def test_websocket(): + # Create SSL context that doesn't verify certificates (for self-signed certs) + ssl_context = ssl.create_default_context() + ssl_context.check_hostname = False + ssl_context.verify_mode = ssl.CERT_NONE + + uri = "wss://localhost:8000/ws" + async with websockets.connect(uri, ssl=ssl_context) as websocket: + # Send test message + test_message = {"message": "Hello WebSocket over HTTPS!"} + await websocket.send(json.dumps(test_message)) + + # Receive response + response = await websocket.recv() + data = json.loads(response) + + # Verify response + assert data["echo"] == "Hello WebSocket over HTTPS!" + assert data["secure"] is True + assert data["protocol"] == "wss" + + # Send another message to test bidirectional communication + test_message2 = {"message": "Second message"} + await websocket.send(json.dumps(test_message2)) + + response2 = await websocket.recv() + data2 = json.loads(response2) + assert data2["echo"] == "Second message" + + # Run the async test + asyncio.run(test_websocket()) + + def test_https_websocket_multiple_connections(self, https_serve_instance): + """Test multiple WebSocket connections over HTTPS.""" + from fastapi import FastAPI, WebSocket, WebSocketDisconnect + + app = FastAPI() + + # Store active connections + connections = [] + + @app.websocket("/ws/broadcast") + async def websocket_broadcast(websocket: WebSocket): + await websocket.accept() + connections.append(websocket) + try: + while True: + data = await websocket.receive_text() + message = json.loads(data) + + # Broadcast to all connections + broadcast_message = { + "type": "broadcast", + "message": message.get("message", ""), + "connections": len(connections), + "secure": True, + } + + # Send to all connected clients + disconnected = [] + for conn in connections: + try: + await conn.send_text(json.dumps(broadcast_message)) + except Exception: + disconnected.append(conn) + + # Remove disconnected clients + for conn in disconnected: + connections.remove(conn) + + except WebSocketDisconnect: + if websocket in connections: + connections.remove(websocket) + + @serve.deployment + @serve.ingress(app) + class WebSocketBroadcastDeployment: + pass + + serve.run(WebSocketBroadcastDeployment.bind()) + + async def test_multiple_websockets(): + ssl_context = ssl.create_default_context() + ssl_context.check_hostname = False + ssl_context.verify_mode = ssl.CERT_NONE + + uri = "wss://localhost:8000/ws/broadcast" + + # Connect multiple clients + websocket1 = await websockets.connect(uri, ssl=ssl_context) + websocket2 = await websockets.connect(uri, ssl=ssl_context) + + try: + # Send message from client 1 + test_message = {"message": "Hello from client 1"} + await websocket1.send(json.dumps(test_message)) + + # Both clients should receive the broadcast + response1 = await websocket1.recv() + response2 = await websocket2.recv() + + data1 = json.loads(response1) + data2 = json.loads(response2) + + # Verify both received the same broadcast + assert data1["type"] == "broadcast" + assert data1["message"] == "Hello from client 1" + assert data1["connections"] == 2 + assert data1["secure"] is True + + assert data2["type"] == "broadcast" + assert data2["message"] == "Hello from client 1" + assert data2["connections"] == 2 + assert data2["secure"] is True + + finally: + await websocket1.close() + await websocket2.close() + + # Run the async test + asyncio.run(test_multiple_websockets()) + + +class TestSSLConfiguration: + def test_ssl_config_validation_success(self, ssl_cert_and_key): + """Test successful SSL configuration validation.""" + key_path = ssl_cert_and_key["key_path"] + cert_path = ssl_cert_and_key["cert_path"] + + # Should not raise exception + options = HTTPOptions(ssl_keyfile=key_path, ssl_certfile=cert_path) + assert options.ssl_keyfile == key_path + assert options.ssl_certfile == cert_path + + def test_ssl_config_validation_missing_key(self): + """Test SSL configuration validation with missing key file.""" + with tempfile.TemporaryDirectory() as temp_dir: + cert_path = os.path.join(temp_dir, "test.crt") + with open(cert_path, "w") as f: + f.write("dummy cert") + + with pytest.raises(ValueError) as exc_info: + HTTPOptions(ssl_keyfile=None, ssl_certfile=cert_path) + + assert "Both ssl_keyfile and ssl_certfile must be provided together" in str( + exc_info.value + ) + + def test_ssl_config_validation_missing_cert(self): + """Test SSL configuration validation with missing cert file.""" + with tempfile.TemporaryDirectory() as temp_dir: + key_path = os.path.join(temp_dir, "test.key") + with open(key_path, "w") as f: + f.write("dummy key") + + with pytest.raises(ValueError) as exc_info: + HTTPOptions(ssl_keyfile=key_path, ssl_certfile=None) + + assert "Both ssl_keyfile and ssl_certfile must be provided together" in str( + exc_info.value + ) + + def test_ssl_config_with_password(self, ssl_cert_and_key): + """Test SSL configuration with key file password.""" + key_path = ssl_cert_and_key["key_path"] + cert_path = ssl_cert_and_key["cert_path"] + + options = HTTPOptions( + ssl_keyfile=key_path, ssl_certfile=cert_path, ssl_keyfile_password="secret" + ) + assert options.ssl_keyfile_password == "secret" + + def test_ssl_config_with_ca_certs(self, ssl_cert_and_key): + """Test SSL configuration with CA certificates.""" + key_path = ssl_cert_and_key["key_path"] + cert_path = ssl_cert_and_key["cert_path"] + # Use cert as CA for testing purposes + ca_path = cert_path + + options = HTTPOptions( + ssl_keyfile=key_path, ssl_certfile=cert_path, ssl_ca_certs=ca_path + ) + assert options.ssl_ca_certs == ca_path + + +class TestHTTPSErrorHandling: + def test_ssl_file_paths_validation(self): + """Test that SSL file paths are properly configured in HTTPOptions.""" + with tempfile.TemporaryDirectory() as temp_dir: + key_path = os.path.join(temp_dir, "test.key") + cert_path = os.path.join(temp_dir, "test.crt") + + # Create dummy files (content doesn't matter for this test) + with open(key_path, "w") as f: + f.write("dummy key") + with open(cert_path, "w") as f: + f.write("dummy cert") + + # Test that HTTPOptions accepts valid file paths + options = HTTPOptions(ssl_keyfile=key_path, ssl_certfile=cert_path) + assert options.ssl_keyfile == key_path + assert options.ssl_certfile == cert_path + + def test_https_requires_both_cert_and_key_files(self): + """Test that HTTPS configuration requires both certificate and key files.""" + # This test validates our SSL validation logic works correctly + + # Should work with both files + options = HTTPOptions(ssl_keyfile="key.pem", ssl_certfile="cert.pem") + assert options.ssl_keyfile == "key.pem" + assert options.ssl_certfile == "cert.pem" + + # Should work with neither file + options = HTTPOptions() + assert options.ssl_keyfile is None + assert options.ssl_certfile is None + + +class TestHTTPSIntegration: + def test_https_with_custom_port(self, ssl_cert_and_key): + """Test HTTPS on custom port.""" + # Ensure Ray is shutdown before starting + try: + ray.shutdown() + except Exception: + pass + + # Disable dashboard to prevent SSL conflicts and disable runtime env upload + ray.init(include_dashboard=False, runtime_env={"working_dir": None}) + + try: + serve.start( + http_options=HTTPOptions( + host="127.0.0.1", + port=8443, + ssl_keyfile=ssl_cert_and_key["key_path"], + ssl_certfile=ssl_cert_and_key["cert_path"], + ) + ) + + @serve.deployment + def custom_port_handler(): + return "custom port" + + serve.run(custom_port_handler.bind()) + + response = requests.get( + "https://127.0.0.1:8443/custom_port_handler", verify=False + ) + assert response.status_code == 200 + assert response.text == "custom port" + finally: + try: + serve.shutdown() + except Exception: + pass + ray.shutdown() + + def test_https_deployment_update(self, https_serve_instance): + """Test deployment updates work correctly with HTTPS.""" + + @serve.deployment + def updatable(): + return "version 1" + + serve.run(updatable.bind()) + + # Test initial version + response = requests.get("https://localhost:8000/updatable", verify=False) + assert response.text == "version 1" + + # Update deployment + @serve.deployment + def updatable(): + return "version 2" + + serve.run(updatable.bind()) + + # Test updated version + response = requests.get("https://localhost:8000/updatable", verify=False) + assert response.text == "version 2" + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-s", __file__])) From 26bbb0c7f01d1ec6b4c4120527219fdd29da251f Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 26 Aug 2025 11:05:20 -0700 Subject: [PATCH 0874/1566] [Core] Print out docker run output when it fails (#55918) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/tests/conftest_docker.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/conftest_docker.py b/python/ray/tests/conftest_docker.py index ffe5d5c72ac4..12be797a23c6 100644 --- a/python/ray/tests/conftest_docker.py +++ b/python/ray/tests/conftest_docker.py @@ -221,7 +221,16 @@ def podman_docker_cluster(): "-f", "/dev/null", ] - container_id = subprocess.check_output(start_container_command).decode("utf-8") + try: + container_id = subprocess.check_output( + start_container_command, stderr=subprocess.STDOUT + ).decode("utf-8") + except subprocess.CalledProcessError as e: + error_output = e.output.decode("utf-8") if e.output else "No output" + print(f"Command failed with return code {e.returncode}") + print(f"Full error output:\n{error_output}") + raise + container_id = container_id.strip() # Get group id that owns the docker socket file. Add user `ray` to From 989455bf6b8ac85020f676662ab25fd6735e7561 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 26 Aug 2025 15:18:55 -0500 Subject: [PATCH 0875/1566] [core] Remove `gcs_rpc_server.h` dependency from `InternalPubSubHandler` (#55952) Splitting gRPC service interface from implementation. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 2 +- src/ray/gcs/gcs_server/gcs_server.cc | 6 ++- .../gcs/gcs_server/grpc_service_interfaces.h | 21 ++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 13 +++++ src/ray/gcs/gcs_server/grpc_services.h | 23 +++++++++ src/ray/gcs/gcs_server/pubsub_handler.h | 4 +- src/ray/rpc/gcs/gcs_rpc_server.h | 49 ------------------- 7 files changed, 64 insertions(+), 54 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index d8d1aac34681..7c9a8109e48f 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -115,9 +115,9 @@ ray_cc_library( srcs = ["pubsub_handler.cc"], hdrs = ["pubsub_handler.h"], deps = [ + "//src/ray/gcs/gcs_server:grpc_service_interfaces", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_service_cc_proto", - "//src/ray/rpc:gcs_server", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 9a5b55ef5561..a63cc1b7e2c2 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -621,8 +621,10 @@ void GcsServer::InitKVService() { void GcsServer::InitPubSubHandler() { auto &io_context = io_context_provider_.GetIOContext(); pubsub_handler_ = std::make_unique(io_context, *gcs_publisher_); - rpc_server_.RegisterService( - std::make_unique(io_context, *pubsub_handler_)); + + // This service is used to handle long poll requests, so we don't limit active RPCs. + rpc_server_.RegisterService(std::make_unique( + io_context, *pubsub_handler_, /*max_active_rpcs_per_handler_=*/-1)); } void GcsServer::InitRuntimeEnvManager() { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index d8dbb7febf4d..743017f20ed0 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -64,6 +64,27 @@ class NodeInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class InternalPubSubGcsServiceHandler { + public: + virtual ~InternalPubSubGcsServiceHandler() = default; + + virtual void HandleGcsPublish(GcsPublishRequest request, + GcsPublishReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGcsSubscriberPoll(GcsSubscriberPollRequest request, + GcsSubscriberPollReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGcsSubscriberCommandBatch(GcsSubscriberCommandBatchRequest request, + GcsSubscriberCommandBatchReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGcsUnregisterSubscriber(GcsUnregisterSubscriberRequest request, + GcsUnregisterSubscriberReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + class JobInfoGcsServiceHandler { public: using JobFinishListenerCallback = std::function; diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index a35a43e68c42..6ac013f7502a 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -36,6 +36,19 @@ void NodeInfoGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(NodeInfoGcsService, CheckAlive, max_active_rpcs_per_handler_) } +void InternalPubSubGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(InternalPubSubGcsService, GcsPublish, max_active_rpcs_per_handler_); + RPC_SERVICE_HANDLER( + InternalPubSubGcsService, GcsSubscriberPoll, max_active_rpcs_per_handler_); + RPC_SERVICE_HANDLER( + InternalPubSubGcsService, GcsSubscriberCommandBatch, max_active_rpcs_per_handler_); + RPC_SERVICE_HANDLER( + InternalPubSubGcsService, GcsUnregisterSubscriber, max_active_rpcs_per_handler_); +} + void JobInfoGrpcService::InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index 90ef1d75a4e3..d825ad7112bb 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -58,6 +58,29 @@ class NodeInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class InternalPubSubGrpcService : public GrpcService { + public: + InternalPubSubGrpcService(instrumented_io_context &io_service, + InternalPubSubGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + InternalPubSubGcsService::AsyncService service_; + InternalPubSubGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + class JobInfoGrpcService : public GrpcService { public: explicit JobInfoGrpcService(instrumented_io_context &io_service, diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/gcs_server/pubsub_handler.h index 34554c74bc39..521863db6ed9 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/gcs_server/pubsub_handler.h @@ -18,8 +18,8 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" namespace ray { namespace gcs { @@ -27,7 +27,7 @@ namespace gcs { /// This is the implementation class of `InternalPubsubHandler`. /// It supports subscribing updates from GCS with long poll, and registering / /// de-registering subscribers. -class InternalPubSubHandler : public rpc::InternalPubSubHandler { +class InternalPubSubHandler : public rpc::InternalPubSubGcsServiceHandler { public: InternalPubSubHandler(instrumented_io_context &io_service, gcs::GcsPublisher &gcs_publisher); diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 65e214245162..3cbc18558d07 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -145,10 +145,6 @@ namespace rpc { #define INTERNAL_KV_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(InternalKVGcsService, HANDLER, -1) -// Unlimited max active RPCs, because of long poll. -#define INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(InternalPubSubGcsService, HANDLER, -1) - #define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ reply->mutable_status()->set_code(static_cast(status.code())); \ reply->mutable_status()->set_message(status.message()); \ @@ -486,55 +482,10 @@ class RayEventExportGrpcService : public GrpcService { RayEventExportGcsServiceHandler &service_handler_; }; -class InternalPubSubGcsServiceHandler { - public: - virtual ~InternalPubSubGcsServiceHandler() = default; - - virtual void HandleGcsPublish(GcsPublishRequest request, - GcsPublishReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGcsSubscriberPoll(GcsSubscriberPollRequest request, - GcsSubscriberPollReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGcsSubscriberCommandBatch(GcsSubscriberCommandBatchRequest request, - GcsSubscriberCommandBatchReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGcsUnregisterSubscriber(GcsUnregisterSubscriberRequest request, - GcsUnregisterSubscriberReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -class InternalPubSubGrpcService : public GrpcService { - public: - InternalPubSubGrpcService(instrumented_io_context &io_service, - InternalPubSubGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(GcsPublish); - INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(GcsSubscriberPoll); - INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(GcsSubscriberCommandBatch); - INTERNAL_PUBSUB_SERVICE_RPC_HANDLER(GcsUnregisterSubscriber); - } - - private: - InternalPubSubGcsService::AsyncService service_; - InternalPubSubGcsServiceHandler &service_handler_; -}; - using ActorInfoHandler = ActorInfoGcsServiceHandler; using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; using InternalKVHandler = InternalKVGcsServiceHandler; -using InternalPubSubHandler = InternalPubSubGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; using RayEventExportHandler = RayEventExportGcsServiceHandler; From 3fcef71e434635766e9acb138e1b116d51dcc790 Mon Sep 17 00:00:00 2001 From: gangsf Date: Tue, 26 Aug 2025 13:36:32 -0700 Subject: [PATCH 0876/1566] feat(runtime_env): add Azure ABFSS Blob Storage support (#55963) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit abfss:// Context: This stands for Azure Blob File System Secure and is used specifically with Azure Data Lake Storage Gen2.Usage: It is the actual protocol used by Spark, Hadoop, and other big data tools to securely access files in ADLS Gen2.Security: The abfss:// scheme ensures secure communication (HTTPS) and is preferred over abfs://, which is non-secure. Example: abfss://myfilesystem@myaccount.dfs.core.windows.net/myfolder/myfile.csv --------- Co-authored-by: Gang Zhao Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/protocol.py | 46 ++++++++++++++++++- .../ray/tests/test_runtime_env_packaging.py | 15 ++++++ 2 files changed, 60 insertions(+), 1 deletion(-) diff --git a/python/ray/_private/runtime_env/protocol.py b/python/ray/_private/runtime_env/protocol.py index b61dea8f71fa..9d9887b409a5 100644 --- a/python/ray/_private/runtime_env/protocol.py +++ b/python/ray/_private/runtime_env/protocol.py @@ -30,13 +30,15 @@ def get_protocols(cls): "gs", # Remote azure blob storage path, assumes everything packed in one zip file. "azure", + # Remote Azure Blob File System Secure path, assumes everything packed in one zip file. + "abfss", # File storage path, assumes everything packed in one zip file. "file", } @classmethod def get_remote_protocols(cls): - return {"https", "s3", "gs", "azure", "file"} + return {"https", "s3", "gs", "azure", "abfss", "file"} @classmethod def _handle_s3_protocol(cls): @@ -122,6 +124,46 @@ def _handle_azure_protocol(cls): return open_file, transport_params + @classmethod + def _handle_abfss_protocol(cls): + """Set up Azure Blob File System Secure (ABFSS) protocol handling. + + Returns: + tuple: (open_file function, transport_params) + + Raises: + ImportError: If required dependencies are not installed. + ValueError: If required environment variables are not set. + """ + try: + from azure.identity import DefaultAzureCredential + from azure.storage.blob import BlobServiceClient # noqa: F401 + from smart_open import open as open_file + except ImportError: + raise ImportError( + "You must `pip install azure-storage-blob azure-identity smart_open[azure]` " + "to fetch URIs in Azure Blob File System Secure. " + + cls._MISSING_DEPENDENCIES_WARNING + ) + + # Define authentication variable + azure_storage_account_name = os.getenv("AZURE_STORAGE_ACCOUNT") + + if not azure_storage_account_name: + raise ValueError( + "Azure Blob File System Secure authentication requires " + "AZURE_STORAGE_ACCOUNT environment variable to be set." + ) + + account_url = f"https://{azure_storage_account_name}.dfs.core.windows.net/" + transport_params = { + "client": BlobServiceClient( + account_url=account_url, credential=DefaultAzureCredential() + ) + } + + return open_file, transport_params + @classmethod def download_remote_uri(cls, protocol: str, source_uri: str, dest_file: str): """Download file from remote URI to destination file. @@ -151,6 +193,8 @@ def open_file(uri, mode, *, transport_params=None): open_file, tp = cls._handle_gs_protocol() elif protocol == "azure": open_file, tp = cls._handle_azure_protocol() + elif protocol == "abfss": + open_file, tp = cls._handle_abfss_protocol() else: try: from smart_open import open as open_file diff --git a/python/ray/tests/test_runtime_env_packaging.py b/python/ray/tests/test_runtime_env_packaging.py index 21f226b94965..4b56a71c9d03 100644 --- a/python/ray/tests/test_runtime_env_packaging.py +++ b/python/ray/tests/test_runtime_env_packaging.py @@ -491,6 +491,11 @@ class TestParseUri: ("https://test.com/file.zip", Protocol.HTTPS, "https_test_com_file.zip"), ("gs://bucket/file.zip", Protocol.GS, "gs_bucket_file.zip"), ("azure://container/file.zip", Protocol.AZURE, "azure_container_file.zip"), + ( + "abfss://container@account.dfs.core.windows.net/file.zip", + Protocol.ABFSS, + "abfss_container_account_dfs_core_windows_net_file.zip", + ), ( "https://test.com/package-0.0.1-py2.py3-none-any.whl?param=value", Protocol.HTTPS, @@ -553,6 +558,11 @@ def test_parse_private_git_https_uris(self, parsing_tuple): Protocol.AZURE, "azure_fake_2022-10-21T13_11_35_00_00_package.zip", ), + ( + "abfss://container@account.dfs.core.windows.net/2022-10-21T13:11:35+00:00/package.zip", + Protocol.ABFSS, + "abfss_container_account_dfs_core_windows_net_2022-10-21T13_11_35_00_00_package.zip", + ), ( "file:///fake/2022-10-21T13:11:35+00:00/package.zip", Protocol.FILE, @@ -594,6 +604,11 @@ def test_parse_uris_with_disallowed_chars(self, parsing_tuple): Protocol.AZURE, "package.whl", ), + ( + "abfss://container@account.dfs.core.windows.net/2022-10-21T13:11:35+00:00/package.whl", + Protocol.ABFSS, + "package.whl", + ), ( "file:///fake/2022-10-21T13:11:35+00:00/package.whl", Protocol.FILE, From a1fab5d6cf13eea7aaaed27608c28ff60c96f75e Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 26 Aug 2025 14:37:55 -0700 Subject: [PATCH 0877/1566] Revert "[Core] Bind grpc servers to specified ip instead of 0.0.0.0 (#55484)" (#55962) Signed-off-by: Douglas Strodtman --- python/ray/tests/test_autoscaler.py | 2 +- python/ray/tests/test_multi_node_3.py | 2 +- src/ray/core_worker/core_worker_process.cc | 6 ++++-- src/ray/core_worker/tests/core_worker_test.cc | 4 ++-- src/ray/gcs/gcs_server/gcs_server.cc | 2 +- .../gcs_server/tests/gcs_health_check_manager_test.cc | 2 +- src/ray/object_manager/object_manager.cc | 2 +- src/ray/raylet/node_manager.cc | 5 +++-- src/ray/raylet/tests/node_manager_test.cc | 2 -- src/ray/rpc/grpc_server.cc | 3 ++- src/ray/rpc/grpc_server.h | 11 ++++++----- src/ray/rpc/tests/grpc_bench/grpc_bench.cc | 2 +- src/ray/rpc/tests/grpc_server_client_test.cc | 2 +- 13 files changed, 24 insertions(+), 21 deletions(-) diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index 506327bd6980..a728071528c2 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -3517,7 +3517,7 @@ def __init__(self, *args, **kwargs): _internal_kv_initialized=Mock(return_value=False), ): monitor = Monitor( - address=f"{ray.util.get_node_ip_address()}:12345", + address="localhost:12345", autoscaling_config="", log_dir=self.tmpdir, ) diff --git a/python/ray/tests/test_multi_node_3.py b/python/ray/tests/test_multi_node_3.py index 8c89115e2bda..f741baa7bef0 100644 --- a/python/ray/tests/test_multi_node_3.py +++ b/python/ray/tests/test_multi_node_3.py @@ -241,7 +241,7 @@ def f(): indirect=True, ) def test_using_hostnames(call_ray_start): - ray.init(address=call_ray_start) + ray.init(_node_ip_address="localhost", address="localhost:6379") @ray.remote def f(): diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index fa3f1ef415e1..c870835c47bd 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -247,8 +247,10 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::move(raylet_address), *client_call_manager, /*raylet_unavailable_timeout_callback=*/[] {}); - auto core_worker_server = std::make_unique( - WorkerTypeString(options.worker_type), assigned_port, options.node_ip_address); + auto core_worker_server = + std::make_unique(WorkerTypeString(options.worker_type), + assigned_port, + options.node_ip_address == "127.0.0.1"); // Start RPC server after all the task receivers are properly initialized and we have // our assigned port from the raylet. core_worker_server->RegisterService( diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index f3f538e4191e..0fa7170c1838 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -104,8 +104,8 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { auto service_handler = std::make_unique(); auto worker_context = std::make_unique( WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(1)); - auto core_worker_server = std::make_unique( - WorkerTypeString(options.worker_type), 0, "127.0.0.1"); + auto core_worker_server = + std::make_unique(WorkerTypeString(options.worker_type), 0, true); core_worker_server->RegisterService( std::make_unique(io_service_, *service_handler), false /* token_auth */); diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index a63cc1b7e2c2..d49029f4dc93 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -62,7 +62,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, storage_type_(GetStorageType()), rpc_server_(config.grpc_server_name, config.grpc_server_port, - config.node_ip_address, + config.node_ip_address == "127.0.0.1", ClusterID::Nil(), config.grpc_server_thread_num, /*keepalive_time_ms=*/RayConfig::instance().grpc_keepalive_time_ms()), diff --git a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc index ed376e4224b0..8ca66a12522f 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc @@ -88,7 +88,7 @@ class GcsHealthCheckManagerTest : public ::testing::Test { auto node_id = NodeID::FromRandom(); auto port = GetFreePort(); RAY_LOG(INFO) << "Get port " << port; - auto server = std::make_shared(node_id.Hex(), port, "127.0.0.1"); + auto server = std::make_shared(node_id.Hex(), port, true); auto channel = grpc::CreateChannel(BuildAddress("localhost", port), grpc::InsecureChannelCredentials()); diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 6abe66bd2ea6..53b18b32d11c 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -107,7 +107,7 @@ ObjectManager::ObjectManager( rpc_work_(rpc_service_.get_executor()), object_manager_server_("ObjectManager", config_.object_manager_port, - config_.object_manager_address, + config_.object_manager_address == "127.0.0.1", ClusterID::Nil(), config_.rpc_service_threads_number), client_call_manager_(main_service, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 0f536647b7cd..0806b072b696 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -160,8 +160,9 @@ NodeManager::NodeManager( RAY_UNUSED(execute_after( io_service_, fn, std::chrono::milliseconds(delay_ms))); }), - node_manager_server_( - "NodeManager", config.node_manager_port, config.node_manager_address), + node_manager_server_("NodeManager", + config.node_manager_port, + config.node_manager_address == "127.0.0.1"), local_object_manager_(local_object_manager), leased_workers_(leased_workers), high_plasma_storage_usage_(RayConfig::instance().high_plasma_storage_usage()), diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index ffc17e1af5e6..2f041bf2825b 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -389,8 +389,6 @@ class NodeManagerTest : public ::testing::Test { })"); NodeManagerConfig node_manager_config{}; - node_manager_config.node_manager_address = "127.0.0.1"; - node_manager_config.node_manager_port = 0; node_manager_config.maximum_startup_concurrency = 1; node_manager_config.store_socket_name = "test_store_socket"; diff --git a/src/ray/rpc/grpc_server.cc b/src/ray/rpc/grpc_server.cc index c644dc85280e..047ff734e94b 100644 --- a/src/ray/rpc/grpc_server.cc +++ b/src/ray/rpc/grpc_server.cc @@ -62,7 +62,8 @@ void GrpcServer::Shutdown() { void GrpcServer::Run() { uint32_t specified_port = port_; - std::string server_address = BuildAddress(ip_address_, port_); + std::string server_address = + BuildAddress((listen_to_localhost_only_ ? "127.0.0.1" : "0.0.0.0"), port_); grpc::ServerBuilder builder; // Disable the SO_REUSEPORT option. We don't need it in ray. If the option is enabled // (default behavior in grpc), we may see multiple workers listen on the same port and diff --git a/src/ray/rpc/grpc_server.h b/src/ray/rpc/grpc_server.h index 56566569c359..686c4a68b2a4 100644 --- a/src/ray/rpc/grpc_server.h +++ b/src/ray/rpc/grpc_server.h @@ -95,14 +95,14 @@ class GrpcServer { /// GrpcServer(std::string name, const uint32_t port, - std::string ip_address, + bool listen_to_localhost_only, const ClusterID &cluster_id = ClusterID::Nil(), int num_threads = 1, int64_t keepalive_time_ms = 7200000 /*2 hours, grpc default*/) : name_(std::move(name)), port_(port), - ip_address_(std::move(ip_address)), - cluster_id_(cluster_id), + listen_to_localhost_only_(listen_to_localhost_only), + cluster_id_(ClusterID::Nil()), is_shutdown_(true), num_threads_(num_threads), keepalive_time_ms_(keepalive_time_ms) { @@ -161,8 +161,9 @@ class GrpcServer { const std::string name_; /// Port of this server. int port_; - /// IP address of this server. - const std::string ip_address_; + /// Listen to localhost (127.0.0.1) only if it's true, otherwise listen to all network + /// interfaces (0.0.0.0) + const bool listen_to_localhost_only_; /// Token representing ID of this cluster. ClusterID cluster_id_; /// Indicates whether this server is in shutdown state. diff --git a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc index f1268c93d764..86b8e7ef4e27 100644 --- a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc +++ b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc @@ -71,7 +71,7 @@ int main() { const auto env = std::getenv("GRPC_SERVER_CPUS"); const auto parallelism = env ? std::atoi(env) : std::thread::hardware_concurrency(); - GrpcServer server("grpc_bench", 50051, "0.0.0.0", ClusterID::Nil(), parallelism); + GrpcServer server("grpc_bench", 50051, false, ClusterID::Nil(), parallelism); instrumented_io_context main_service; std::thread t([&main_service] { boost::asio::executor_work_guard work( diff --git a/src/ray/rpc/tests/grpc_server_client_test.cc b/src/ray/rpc/tests/grpc_server_client_test.cc index c4bbd1e42033..b020b7b45b8b 100644 --- a/src/ray/rpc/tests/grpc_server_client_test.cc +++ b/src/ray/rpc/tests/grpc_server_client_test.cc @@ -111,7 +111,7 @@ class TestGrpcServerClientFixture : public ::testing::Test { handler_io_service_work_(handler_io_service_.get_executor()); handler_io_service_.run(); }); - grpc_server_.reset(new GrpcServer("test", 0, "127.0.0.1")); + grpc_server_.reset(new GrpcServer("test", 0, true)); grpc_server_->RegisterService( std::make_unique(handler_io_service_, test_service_handler_), false); From cfb65f0830ed4e200e47530d527125ec7a15d0c8 Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Tue, 26 Aug 2025 14:47:12 -0700 Subject: [PATCH 0878/1566] [core][gpu-objects] Automatically enable tensor transport for the actor if any method specifies one (#55324) This PR makes the `@ray.remote(enable_tensor_transport=True)` flag optional by checking if any of the actor's methods have `@ray.method(tensor_transport=...)` and automatically enabling tensor transport if so. This step is needed before actor creation because we need to create a background concurrency group on the actor if tensor transport is enabled. It also adds some validation checks for these corner cases: - `@ray.remote(enable_tensor_transport=True)` and actor method dynamically specifies `.options(tensor_transport=...)` -> succeeds - `@ray.remote` and actor method dynamically specifies `.options(tensor_transport=...)` -> fails, user needs to specify `enable_tensor_transport=True` - Actor method with tensor transport is called, but no collective group is created yet -> fails, user needs to create a collective group first ## Related issue number Closes #55269. --------- Signed-off-by: Stephanie wang Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 2 +- python/ray/_common/ray_option_utils.py | 2 +- python/ray/_raylet.pyx | 6 + python/ray/actor.py | 115 ++++++++++----- .../collective/collective_tensor_transport.py | 2 +- .../gpu_object_manager/gpu_object_manager.py | 26 ++++ python/ray/tests/test_gpu_objects_gloo.py | 131 +++++++++++++++++- 7 files changed, 248 insertions(+), 36 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 56df1bd45d5c..84b97b4f4724 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -307,7 +307,7 @@ python/ray/actor.py DOC201: Method `ActorMethod.options` does not have a return section in docstring DOC101: Method `_ActorClassMetadata.__init__`: Docstring contains fewer arguments than in function signature. DOC107: Method `_ActorClassMetadata.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Method `_ActorClassMetadata.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_type: , actor_creation_function_descriptor: , class_id: , concurrency_groups: , enable_tensor_transport: bool, label_selector: , language: , max_restarts: , max_task_retries: , memory: , modified_class: , num_cpus: , num_gpus: , object_store_memory: , resources: , runtime_env: , scheduling_strategy: SchedulingStrategyT]. + DOC103: Method `_ActorClassMetadata.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_type: , actor_creation_function_descriptor: , class_id: , concurrency_groups: , enable_tensor_transport: bool, label_selector: , language: , max_restarts: , max_task_retries: , memory: , method_meta: , modified_class: , num_cpus: , num_gpus: , object_store_memory: , resources: , runtime_env: , scheduling_strategy: SchedulingStrategyT]. DOC101: Method `ActorClass.__init__`: Docstring contains fewer arguments than in function signature. DOC106: Method `ActorClass.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `ActorClass.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints diff --git a/python/ray/_common/ray_option_utils.py b/python/ray/_common/ray_option_utils.py index 6ff64108f795..8d56f0d0f675 100644 --- a/python/ray/_common/ray_option_utils.py +++ b/python/ray/_common/ray_option_utils.py @@ -222,7 +222,7 @@ def issubclass_safe(obj: Any, cls_: type) -> bool: _actor_only_options = { "concurrency_groups": Option((list, dict, type(None))), - "enable_tensor_transport": Option(bool, default_value=False), + "enable_tensor_transport": Option((bool, type(None)), default_value=None), "lifetime": Option( (str, type(None)), lambda x: None diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f513243a660f..fdd0dea05c72 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -4155,6 +4155,11 @@ cdef class CoreWorker: method_meta.retry_exceptions, method_meta.generator_backpressure_num_objects, # noqa method_meta.enable_task_events, + # TODO(swang): Pass + # enable_tensor_transport when + # serializing an ActorHandle and + # sending to another actor. + False, # enable_tensor_transport method_meta.method_name_to_tensor_transport, actor_method_cpu, actor_creation_function_descriptor, @@ -4173,6 +4178,7 @@ cdef class CoreWorker: {}, # method retry_exceptions {}, # generator_backpressure_num_objects {}, # enable_task_events + False, # enable_tensor_transport None, # method_name_to_tensor_transport 0, # actor method cpu actor_creation_function_descriptor, diff --git a/python/ray/actor.py b/python/ray/actor.py index 4e9e22f1a7dd..15b8df351618 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -815,11 +815,26 @@ def _remote( if tensor_transport is None: tensor_transport = self._tensor_transport - if tensor_transport != TensorTransportEnum.OBJECT_STORE and num_returns != 1: - raise ValueError( - f"Currently, methods with tensor_transport={tensor_transport.name} only support 1 return value. " - "Please make sure the actor method is decorated with `@ray.method(num_returns=1)` (the default)." - ) + if tensor_transport != TensorTransportEnum.OBJECT_STORE: + if num_returns != 1: + raise ValueError( + f"Currently, methods with tensor_transport={tensor_transport.name} only support 1 return value. " + "Please make sure the actor method is decorated with `@ray.method(num_returns=1)` (the default)." + ) + if not self._actor._ray_enable_tensor_transport: + raise ValueError( + f'Currently, methods with .options(tensor_transport="{tensor_transport.name}") are not supported when enable_tensor_transport=False. ' + "Please set @ray.remote(enable_tensor_transport=True) on the actor class definition." + ) + gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager + if not gpu_object_manager.actor_has_tensor_transport( + self._actor, tensor_transport + ): + raise ValueError( + f"{self._actor} does not have tensor transport {tensor_transport.name} available. Please create a communicator with " + "`ray.experimental.collective.create_collective_group` " + "before calling actor tasks with non-default tensor_transport." + ) args = args or [] kwargs = kwargs or {} @@ -933,7 +948,6 @@ def create( cls, modified_class, actor_creation_function_descriptor, - enable_tensor_transport: bool = False, ): # Try to create an instance from cache. cached_meta = cls._cache.get(actor_creation_function_descriptor) @@ -960,6 +974,15 @@ def create( self.concurrency_group_for_methods = {} self.method_name_to_tensor_transport: Dict[str, TensorTransportEnum] = {} + # Check whether any actor methods specify a non-default tensor transport. + self.has_tensor_transport_methods = any( + getattr( + method, "__ray_tensor_transport__", TensorTransportEnum.OBJECT_STORE + ) + != TensorTransportEnum.OBJECT_STORE + for _, method in actor_methods + ) + for method_name, method in actor_methods: # Whether or not this method requires binding of its first # argument. For class and static methods, we do not want to bind @@ -1019,15 +1042,6 @@ def create( method_name ] = method.__ray_tensor_transport__ - method_tensor_transport = self.method_name_to_tensor_transport.get( - method_name, None - ) - if not enable_tensor_transport and method_tensor_transport is not None: - if method_tensor_transport != TensorTransportEnum.OBJECT_STORE: - raise ValueError( - f"Method {method_name} has tensor_transport={method_tensor_transport.name} but enable_tensor_transport is False" - ) - # Update cache. cls._cache[actor_creation_function_descriptor] = self return self @@ -1043,6 +1057,7 @@ class _ActorClassMetadata: actor_creation_function_descriptor: The function descriptor for the actor creation task. class_id: The ID of this actor class. + method_meta: The actor method metadata. class_name: The name of this class. num_cpus: The default number of CPUs required by the actor creation task. @@ -1058,14 +1073,14 @@ class _ActorClassMetadata: See :ref:`accelerator types `. runtime_env: The runtime environment for this actor. scheduling_strategy: Strategy about how to schedule this actor. - enable_tensor_transport: Whether to enable out-of-band tensor transport for this actor. last_export_cluster_and_job: A pair of the last exported cluster and job to help us to know whether this function was exported. This is an imperfect mechanism used to determine if we need to export the remote function again. It is imperfect in the sense that the actor class definition could be exported multiple times by different workers. - method_meta: The actor method metadata. + enable_tensor_transport: Whether to enable out-of-band tensor transport + for this actor. """ def __init__( @@ -1074,6 +1089,7 @@ def __init__( modified_class, actor_creation_function_descriptor, class_id, + method_meta, max_restarts, max_task_retries, num_cpus, @@ -1086,11 +1102,12 @@ def __init__( runtime_env, concurrency_groups, scheduling_strategy: SchedulingStrategyT, - enable_tensor_transport: bool = False, + enable_tensor_transport: bool, ): self.language = language self.modified_class = modified_class self.actor_creation_function_descriptor = actor_creation_function_descriptor + self.method_meta = method_meta self.class_name = actor_creation_function_descriptor.class_name self.is_cross_language = language != Language.PYTHON self.class_id = class_id @@ -1106,13 +1123,8 @@ def __init__( self.runtime_env = runtime_env self.concurrency_groups = concurrency_groups self.scheduling_strategy = scheduling_strategy - self.enable_tensor_transport = enable_tensor_transport self.last_export_cluster_and_job = None - self.method_meta = _ActorClassMethodMetadata.create( - modified_class, - actor_creation_function_descriptor, - self.enable_tensor_transport, - ) + self.enable_tensor_transport = enable_tensor_transport @PublicAPI @@ -1120,7 +1132,7 @@ class ActorClassInheritanceException(TypeError): pass -def _process_option_dict(actor_options): +def _process_option_dict(actor_options, has_tensor_transport_methods): _filled_options = {} arg_names = set(inspect.getfullargspec(_ActorClassMetadata.__init__)[0]) for k, v in ray_option_utils.actor_options.items(): @@ -1129,15 +1141,28 @@ def _process_option_dict(actor_options): _filled_options["runtime_env"] = parse_runtime_env_for_task_or_actor( _filled_options["runtime_env"] ) + # If any actor method has a non-default tensor transport, automatically + # enable tensor transport, unless it was explicitly set to False by the + # user. + if has_tensor_transport_methods: + if _filled_options["enable_tensor_transport"] is False: + raise ValueError( + "Actor class has methods with @ray.method(tensor_transport=...) decorator but @ray.remote(enable_tensor_transport=False). " + "Either set enable_tensor_transport=True or remove the @ray.method(tensor_transport=...) decorator from the methods." + ) + _filled_options["enable_tensor_transport"] = True # Ray GPU objects requires a background thread for data transfer. However, # currently by default the background thread will be blocked if the main - # thread does not yield. For now, we explicitly create the background - # thread, which forces Ray to execute all tasks on background threads - # instead of the main thread. + # thread does not yield. For now, we explicitly create the background thread + # if `@ray.remote(enable_tensor_transport=True)` or if any methods are + # decorated with `@ray.method(tensor_transport=...)` and a non-default + # tensor transport. This forces Ray to execute all tasks on background + # threads instead of the main thread. # TODO(swang): Remove this code once # https://github.com/ray-project/ray/issues/54639 is fixed. - if _filled_options.get("enable_tensor_transport", False): + enable_tensor_transport = _filled_options.get("enable_tensor_transport", False) + if enable_tensor_transport: if _filled_options.get("concurrency_groups", None) is None: _filled_options["concurrency_groups"] = {} _filled_options["concurrency_groups"]["_ray_system"] = 1 @@ -1253,12 +1278,19 @@ def __init__(self, *args, **kwargs): modified_class.__ray_actor_class__ ) + actor_method_meta = _ActorClassMethodMetadata.create( + modified_class, + actor_creation_function_descriptor, + ) self.__ray_metadata__ = _ActorClassMetadata( Language.PYTHON, modified_class, actor_creation_function_descriptor, class_id, - **_process_option_dict(actor_options), + actor_method_meta, + **_process_option_dict( + actor_options, actor_method_meta.has_tensor_transport_methods + ), ) self._default_options = actor_options if "runtime_env" in self._default_options: @@ -1274,12 +1306,20 @@ def _ray_from_function_descriptor( actor_options, ): self = ActorClass.__new__(ActorClass) + modified_class = None + actor_method_meta = _ActorClassMethodMetadata.create( + modified_class, + actor_creation_function_descriptor, + ) self.__ray_metadata__ = _ActorClassMetadata( language, - None, + modified_class, actor_creation_function_descriptor, None, - **_process_option_dict(actor_options), + actor_method_meta, + **_process_option_dict( + actor_options, actor_method_meta.has_tensor_transport_methods + ), ) self._default_options = actor_options if "runtime_env" in self._default_options: @@ -1775,6 +1815,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: meta.method_meta.retry_exceptions, meta.method_meta.generator_backpressure_num_objects, meta.method_meta.enable_task_events, + meta.enable_tensor_transport, meta.method_meta.method_name_to_tensor_transport, actor_method_cpu, meta.actor_creation_function_descriptor, @@ -1867,6 +1908,7 @@ def __init__( method_retry_exceptions: Dict[str, Union[bool, list, tuple]], method_generator_backpressure_num_objects: Dict[str, int], method_enable_task_events: Dict[str, bool], + enable_tensor_transport: bool, method_name_to_tensor_transport: Dict[str, TensorTransportEnum], actor_method_cpus: int, actor_creation_function_descriptor, @@ -1890,6 +1932,10 @@ def __init__( method_retry_exceptions: Dictionary mapping method names to their retry exception settings. method_generator_backpressure_num_objects: Dictionary mapping method names to their generator backpressure settings. method_enable_task_events: Dictionary mapping method names to whether task events are enabled. + enable_tensor_transport: Whether tensor transport is enabled for + this actor. If True, then methods can be called with + .options(tensor_transport=...) to specify a non-default tensor + transport. method_name_to_tensor_transport: Dictionary mapping method names to their tensor transport settings. actor_method_cpus: The number of CPUs required by actor methods. actor_creation_function_descriptor: The function descriptor for actor creation. @@ -1916,6 +1962,7 @@ def __init__( method_generator_backpressure_num_objects ) self._ray_method_enable_task_events = method_enable_task_events + self._ray_enable_tensor_transport = enable_tensor_transport self._ray_method_name_to_tensor_transport = method_name_to_tensor_transport self._ray_actor_method_cpus = actor_method_cpus self._ray_cluster_and_job = cluster_and_job @@ -2238,6 +2285,8 @@ def _serialization_helper(self): self._ray_method_generator_backpressure_num_objects ), "method_enable_task_events": self._ray_method_enable_task_events, + "enable_tensor_transport": self._ray_enable_tensor_transport, + "method_name_to_tensor_transport": self._ray_method_name_to_tensor_transport, "actor_method_cpus": self._ray_actor_method_cpus, "actor_creation_function_descriptor": self._ray_actor_creation_function_descriptor, # noqa: E501 }, @@ -2287,6 +2336,8 @@ def _deserialization_helper(cls, state, weak_ref: bool, outer_object_ref=None): state["method_retry_exceptions"], state["method_generator_backpressure_num_objects"], state["method_enable_task_events"], + state["enable_tensor_transport"], + state["method_name_to_tensor_transport"], state["actor_method_cpus"], state["actor_creation_function_descriptor"], state["current_cluster_and_job"], diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 64bc0991db26..7bf39aed7b25 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -74,7 +74,7 @@ def get_communicator_metadata( f"No communicators found for actors {src_actor} and {dst_actor}. " "Create a communicator with " "`ray.experimental.collective.create_collective_group` " - "before calling actor tasks." + "before calling actor tasks. with non-default tensor_transport." ) elif len(communicators) > 1: raise ValueError( diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 9102edb86566..6c3157b13134 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -253,3 +253,29 @@ def get_gpu_object(self, object_id: str) -> List["torch.Tensor"]: object_id, timeout=ray_constants.FETCH_FAIL_TIMEOUT_SECONDS ) return gpu_object + + def actor_has_tensor_transport( + self, actor: "ray.actor.ActorHandle", tensor_transport: TensorTransportEnum + ): + """ + Check if the actor has a communicator for the given tensor transport backend. + + Args: + actor: The actor to check. + tensor_transport: The tensor transport backend to check. + + Returns: + True if the actor has a communicator for the given tensor transport backend, False otherwise. + """ + # Import get_collective_groups here to avoid dependency on + # collective libraries for default Ray installation. + from ray.experimental.collective import get_collective_groups + from ray.experimental.gpu_object_manager.gpu_object_store import ( + _tensor_transport_to_collective_backend, + ) + + tensor_transport_backend = _tensor_transport_to_collective_backend( + tensor_transport + ) + communicators = get_collective_groups([actor], backend=tensor_transport_backend) + return len(communicators) > 0 diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index ff0c233a43bb..65f5550e2896 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -8,6 +8,7 @@ from ray.experimental.collective import create_collective_group from ray._private.custom_types import TensorTransportEnum from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import SignalActor # tensordict is not supported on macos ci, so we skip the tests support_tensordict = sys.platform != "darwin" @@ -16,7 +17,11 @@ from tensordict import TensorDict -@ray.remote(enable_tensor_transport=True) +# TODO: check whether concurrency groups are created correctly if +# enable_tensor_transport is True or if any methods are decorated with +# @ray.method(tensor_transport=...). Check that specifying +# .options(tensor_transport=...) fails if enable_tensor_transport is False. +@ray.remote class GPUTestActor: @ray.method(tensor_transport="gloo") def echo(self, data): @@ -207,6 +212,78 @@ def test_p2p(ray_start_regular): assert ray.get(result) == pytest.approx(medium_tensor * 2) +def test_p2p_errors_before_group_creation(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + + small_tensor = torch.randn((1,)) + sender = actors[0] + + with pytest.raises( + ValueError, + match="Actor.* does not have tensor transport GLOO available. Please create a communicator with `ray.experimental.collective.create_collective_group` before calling actor tasks with non-default tensor_transport.", + ): + sender.echo.remote(small_tensor) + + +@pytest.mark.parametrize("has_tensor_transport_method", [True, False]) +def test_p2p_blocking(ray_start_regular, has_tensor_transport_method): + """Test that p2p transfers still work when sender is blocked in another + task. This should work whether the actor has (a) a tensor transport method + (a method decorated with @ray.method(tensor_transport=...)) or (b) an actor-level decorator + @ray.remote(enable_tensor_transport=True).""" + + class _GPUTestActor: + def double(self, data): + if isinstance(data, list): + return [self.double(d) for d in data] + if support_tensordict and isinstance(data, TensorDict): + return data.apply(lambda x: x * 2) + return data * 2 + + def infinite_sleep(self, signal): + signal.send.remote() + while True: + time.sleep(0.1) + + if has_tensor_transport_method: + # Test tensor transport annotation via ray.method. + @ray.remote + class GPUTestActor(_GPUTestActor): + @ray.method(tensor_transport="gloo") + def echo(self, data): + return data + + else: + # Test tensor transport annotation via ray.remote. + @ray.remote(enable_tensor_transport=True) + class GPUTestActor(_GPUTestActor): + def echo(self, data): + return data + + sender, receiver = GPUTestActor.remote(), GPUTestActor.remote() + signal = SignalActor.remote() + create_collective_group([sender, receiver], backend="torch_gloo") + tensor = torch.randn((500, 500)) + # If the actor does not have a tensor transport method declared, declare it + # dynamically using .options(). + sender_fn = ( + sender.echo + if has_tensor_transport_method + else sender.echo.options(tensor_transport="gloo") + ) + ref = sender_fn.remote(tensor) + + # Start a blocking task on the sender actor. + sender.infinite_sleep.remote(signal) + ray.get(signal.wait.remote(), timeout=10) + + # Ensure that others can still receive the object. + result = receiver.double.remote(ref) + result = ray.get(result, timeout=10) + assert result == pytest.approx(tensor * 2) + + def test_p2p_with_cpu_data(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] @@ -494,6 +571,58 @@ def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular) assert torch.equal(ret_val_src[1], td["reward"]) +@pytest.mark.parametrize("enable_tensor_transport", [True, False]) +def test_dynamic_tensor_transport_via_options( + ray_start_regular, enable_tensor_transport +): + """Test that tensor_transport can be set dynamically via .options() at call + time, if enable_tensor_transport is set to True in @ray.remote.""" + + class TestActor: + def __init__(self): + pass + + def normal_method(self): + return "normal" + + def tensor_method(self): + return torch.randn(5, 5) + + def double(self, data): + return data * 2 + + if enable_tensor_transport: + TestActor = ray.remote(enable_tensor_transport=True)(TestActor) + else: + TestActor = ray.remote(TestActor) + + # Create actor without any tensor_transport decorators + sender = TestActor.remote() + receiver = TestActor.remote() + create_collective_group([sender, receiver], backend="torch_gloo") + + # Test normal method call + result = ray.get(sender.normal_method.remote()) + assert result == "normal" + + # Test method call with tensor_transport specified via .options() + if enable_tensor_transport: + # If enable_tensor_transport is set to True, then it's okay to use + # dynamic tensor_transport. + ref = sender.tensor_method.options(tensor_transport="gloo").remote() + tensor = ray.get(ref) + result = ray.get(receiver.double.remote(ref)) + assert result == pytest.approx(tensor * 2) + else: + # If enable_tensor_transport is not set, then user cannot use + # dynamic tensor_transport. + with pytest.raises( + ValueError, + match='Currently, methods with .options\\(tensor_transport="GLOO"\\) are not supported when enable_tensor_transport=False. Please set @ray.remote\\(enable_tensor_transport=True\\) on the actor class definition.', + ): + ref = sender.tensor_method.options(tensor_transport="gloo").remote() + + def test_gpu_object_ref_in_list_throws_exception(ray_start_regular): """Test that passing GPU ObjectRefs inside lists as task arguments raises an error.""" From 1541fd6c19f1ca05dd083b10e423d6fc7f46ae3b Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Tue, 26 Aug 2025 14:48:53 -0700 Subject: [PATCH 0879/1566] [docker] Update latest Docker dependencies for 2.49.0 release (#55966) Created by release automation bot. Update with commit ec5d4108737ead7dccb2930439842e0b2de012bb Signed-off-by: elliot-barn Co-authored-by: elliot-barn Signed-off-by: Douglas Strodtman --- doc/source/ray-overview/installation.rst | 2 +- .../pip_freeze_ray-ml-py39-cpu.txt | 48 +++++++++++-------- .../ray-overview/pip_freeze_ray-py39-cpu.txt | 34 +++++++++---- 3 files changed, 55 insertions(+), 29 deletions(-) diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index a6131d6ab8b2..1bb7e8fcc552 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -436,7 +436,7 @@ We publish the dependencies that are installed in our ``ray`` Docker images for .. tab-item:: ray (Python 3.9) :sync: ray (Python 3.9) - Ray version: nightly (`f99d0ea `_) + Ray version: nightly (`ec5d410 `_) .. literalinclude:: ./pip_freeze_ray-py39-cpu.txt diff --git a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt index 74d74f03ee00..01830b5aa586 100644 --- a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt @@ -12,11 +12,12 @@ aiohappyeyeballs==2.6.1 aiohttp==3.11.16 aiohttp-cors==0.7.0 aioitertools==0.11.0 -aiorwlock==1.5.0 +aiorwlock==1.3.0 aiosignal==1.3.1 aiosqlite==0.19.0 ale-py==0.10.1 alembic==1.12.1 +amqp==5.3.1 annotated-types==0.6.0 antlr4-python3-runtime==4.11.1 anyio==3.7.1 @@ -32,11 +33,15 @@ astunparse==1.6.3 async-timeout==4.0.3 attrs==25.1.0 ax-platform==0.3.2 +azure-common==1.1.28 +azure-core==1.29.5 +azure-storage-blob==12.22.0 Babel==2.13.1 backcall==0.2.0 base58==2.0.1 bayesian-optimization==1.4.3 beautifulsoup4==4.11.1 +billiard==4.2.1 bleach==6.1.0 bokeh==2.4.3 boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1733827268945/work @@ -45,12 +50,15 @@ boto3==1.26.76 botocore==1.29.76 botorch==0.8.5 Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1749229842835/work -build==1.2.2.post1 cachetools==5.5.2 +celery==5.5.3 certifi==2025.1.31 cffi==1.16.0 charset-normalizer==3.3.2 click==8.1.7 +click-didyoumean==0.3.1 +click-plugins==1.1.1.2 +click-repl==0.3.0 cloudpickle==2.2.0 cma==3.2.2 cmdstanpy==1.2.0 @@ -60,7 +68,7 @@ colorful==0.5.5 colorlog==6.7.0 comet-ml==3.44.1 comm==0.2.0 -conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1749201703459/work/conda-src +conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1754405245494/work/conda-src conda-libmamba-solver @ file:///home/conda/feedstock_root/build_artifacts/conda-libmamba-solver_1745834476052/work/src conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1736345463896/work conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1729004031731/work @@ -121,7 +129,7 @@ gast==0.6.0 gcs-oauth2-boto-plugin==3.0 getdaft==0.4.3 gitdb==4.0.11 -GitPython==3.1.40 +GitPython==3.1.44 glfw==2.6.3 google-api-core==2.24.2 google-api-python-client==2.111.0 @@ -129,9 +137,13 @@ google-apitools==0.5.32 google-auth==2.23.4 google-auth-httplib2==0.1.1 google-auth-oauthlib==1.0.0 +google-cloud-core==2.4.1 +google-cloud-storage==2.14.0 +google-crc32c==1.5.0 google-oauth==1.0.1 google-pasta==0.2.0 google-reauth==0.1.1 +google-resumable-media==2.6.0 googleapis-common-protos==1.61.0 GPy==1.13.1 gpytorch==1.10 @@ -139,10 +151,10 @@ graphene==3.4.3 graphql-core==3.2.3 graphql-relay==3.2.0 greenlet==3.0.1 -grpcio==1.66.2 +grpcio==1.74.0 gsutil==5.27 gunicorn==20.1.0 -gymnasium==1.0.0 +gymnasium==1.1.1 h11==0.16.0 h2 @ file:///home/conda/feedstock_root/build_artifacts/h2_1733298745555/work h5py==3.10.0 @@ -166,6 +178,7 @@ ipykernel==6.27.1 ipython==8.12.3 ipython-genutils==0.2.0 ipywidgets==8.1.3 +isodate==0.6.1 isoduration==20.11.0 itsdangerous==2.1.2 jedi==0.19.1 @@ -190,14 +203,14 @@ jupyterlab_server==2.24.0 jupyterlab_widgets==3.0.11 keras==2.15.0 kiwisolver==1.4.5 +kombu==5.5.4 labmaze==1.0.6 lazy_loader==0.4 libclang==18.1.1 -libmambapy @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_libmambapy_1750078835/work/libmambapy +libmambapy @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_libmambapy_1753776969/work/libmambapy lightgbm==4.6.0 lightning-utilities==0.11.2 linear-operator==0.4.0 -linkify-it-py==2.0.3 llvmlite==0.42.0 locket==1.0.0 lxml==4.9.4 @@ -208,10 +221,9 @@ markdown-it-py==2.2.0 MarkupSafe==2.1.3 matplotlib==3.7.4 matplotlib-inline==0.1.6 -mdit-py-plugins==0.4.2 mdurl==0.1.2 memray==1.10.0 -menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1750792275478/work +menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1753546271769/work minigrid==2.3.1 mistune==0.8.4 ml-dtypes==0.3.2 @@ -240,6 +252,7 @@ netifaces==0.11.0 networkx==3.2.1 nevergrad==0.4.3.post7 ninja==1.11.1.1 +nixl==0.4.0 notebook==6.5.7 notebook_shim==0.2.3 numba==0.59.1 @@ -284,7 +297,6 @@ pettingzoo==1.24.3 pexpect==4.8.0 pickleshare==0.7.5 pillow==10.3.0 -pip-tools==7.4.1 platformdirs==3.11.0 plotly==5.23.0 pluggy==1.3.0 @@ -316,7 +328,6 @@ pynvml==11.5.0 PyOpenGL==3.1.7 pyOpenSSL==25.0.0 pyparsing==3.1.1 -pyproject_hooks==1.2.0 pyro-api==0.1.2 pyro-ppl==1.9.1 Pyro4==4.82 @@ -334,11 +345,10 @@ pyu2f==0.1.5 PyYAML==6.0.1 pyzmq==26.0.3 qpd==0.4.4 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=5a7ca35580e97891618705a7a7efcc556b30cc1d3e6155605d690b18d50c4383 -redis==4.4.2 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=6dd296fe192d3c9953867ef02ab2645e2f5e48f49e7d4e7c1fecc7689d139cf1 referencing==0.36.2 regex==2024.5.15 -requests==2.32.3 +requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1733217035951/work requests-oauthlib==2.0.0 requests-toolbelt==1.0.0 responses==0.13.4 @@ -396,9 +406,8 @@ tensorflow-metadata==1.13.1 tensorflow-probability==0.23.0 termcolor==2.4.0 terminado==0.18.1 -textual==4.0.0 threadpoolctl==3.1.0 -tifffile==2024.8.30 +tifffile==2024.7.21 timm==0.9.2 tinycss2==1.3.0 tinyscaler==1.2.8 @@ -423,18 +432,17 @@ transformers==4.36.2 triad==0.9.8 triton==2.3.0 typeguard==2.13.3 -typer==0.16.0 +typer==0.12.3 types-python-dateutil==2.9.0.20240316 -typing-inspection==0.4.1 typing_extensions==4.12.2 tzdata==2025.2 -uc-micro-py==1.0.3 uri-template==1.3.0 uritemplate==4.1.1 urllib3==1.26.19 utilsforecast==0.2.0 uvicorn==0.22.0 uvloop==0.21.0 +vine==5.1.0 virtualenv==20.29.1 wandb==0.17.0 watchfiles==0.19.0 diff --git a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt index e2ca596c5740..da45ccee1874 100644 --- a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt @@ -2,24 +2,33 @@ aiohappyeyeballs==2.6.1 aiohttp==3.11.16 aiohttp-cors==0.7.0 aiosignal==1.3.1 +amqp==5.3.1 annotated-types==0.6.0 anyio==3.7.1 archspec @ file:///home/conda/feedstock_root/build_artifacts/archspec_1737352602016/work async-timeout==4.0.3 attrs==25.1.0 +azure-common==1.1.28 +azure-core==1.29.5 +azure-storage-blob==12.22.0 +billiard==4.2.1 boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1733827268945/work boto3==1.26.76 botocore==1.29.76 Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1749229842835/work cachetools==5.5.2 +celery==5.5.3 certifi==2025.1.31 cffi==1.16.0 charset-normalizer==3.3.2 click==8.1.7 +click-didyoumean==0.3.1 +click-plugins==1.1.1.2 +click-repl==0.3.0 cloudpickle==2.2.0 colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1733218098505/work colorful==0.5.5 -conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1749201703459/work/conda-src +conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1754405245494/work/conda-src conda-libmamba-solver @ file:///home/conda/feedstock_root/build_artifacts/conda-libmamba-solver_1745834476052/work/src conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1736345463896/work conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1729004031731/work @@ -42,10 +51,14 @@ google-api-core==2.24.2 google-api-python-client==2.111.0 google-auth==2.23.4 google-auth-httplib2==0.1.1 +google-cloud-core==2.4.1 +google-cloud-storage==2.14.0 +google-crc32c==1.5.0 google-oauth==1.0.1 +google-resumable-media==2.6.0 googleapis-common-protos==1.61.0 -grpcio==1.66.2 -gymnasium==1.0.0 +grpcio==1.74.0 +gymnasium==1.1.1 h11==0.16.0 h2 @ file:///home/conda/feedstock_root/build_artifacts/h2_1733298745555/work hpack @ file:///home/conda/feedstock_root/build_artifacts/hpack_1733299205993/work @@ -54,19 +67,21 @@ httptools==0.6.4 hyperframe @ file:///home/conda/feedstock_root/build_artifacts/hyperframe_1733298771451/work idna==3.7 importlib-metadata==6.11.0 +isodate==0.6.1 Jinja2==3.1.6 jmespath==1.0.1 jsonpatch @ file:///home/conda/feedstock_root/build_artifacts/jsonpatch_1733814567314/work jsonpointer @ file:///home/conda/feedstock_root/build_artifacts/jsonpointer_1725302957584/work jsonschema==4.23.0 jsonschema-specifications==2024.10.1 -libmambapy @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_libmambapy_1750078835/work/libmambapy +kombu==5.5.4 +libmambapy @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_libmambapy_1753776969/work/libmambapy lz4==4.3.3 markdown-it-py==2.2.0 MarkupSafe==2.1.3 mdurl==0.1.2 memray==1.10.0 -menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1750792275478/work +menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1753546271769/work msgpack==1.0.7 multidict==6.0.5 numpy==1.26.4 @@ -83,6 +98,7 @@ pandas==1.5.3 platformdirs==3.11.0 pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1733222765875/work prometheus-client==0.19.0 +prompt-toolkit==3.0.41 propcache==0.3.0 proto-plus==1.22.3 protobuf==4.25.8 @@ -103,14 +119,13 @@ python-dateutil==2.8.2 python-dotenv==1.1.1 pytz==2022.7.1 PyYAML==6.0.1 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=6d5b553cf00ee5e32ad8f0e02333a0c4ecafd471fa52f4ee1e71ed00944120ec -redis==4.4.2 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=f882349a99e35a6628b064cfcb031919f026933731262d982bbdf7664003fbd3 referencing==0.36.2 requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1733217035951/work rich==13.3.2 rpds-py==0.22.3 rsa==4.7.2 -ruamel.yaml @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml_1749479929034/work +ruamel.yaml @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml_1755625023823/work ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1728724456970/work s3transfer==0.6.2 scipy==1.11.4 @@ -121,12 +136,15 @@ starlette==0.46.2 tensorboardX==2.6.2.2 tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1735661334605/work typing_extensions==4.12.2 +tzdata==2025.2 uritemplate==4.1.1 urllib3==1.26.19 uvicorn==0.22.0 uvloop==0.21.0 +vine==5.1.0 virtualenv==20.29.1 watchfiles==0.19.0 +wcwidth==0.2.13 websockets==11.0.3 yarl==1.18.3 zipp==3.19.2 From 933d51426aba2091bc2fceb6dd33da5f0dafbf83 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 26 Aug 2025 15:07:57 -0700 Subject: [PATCH 0880/1566] [core][obsclean/05] add an interface for metric (#55911) Add an interface for Metric class. This interface will allow us to move metric from being statically initialized to be a class members, etc, both reduce build time + avoid static destruction issues. - I add the `MetricInterface` under the `observability` namespace; all metrics, events and logs will be migrated to this new namespace, so any new file I also add to this new namespace - Fix `tag_defs.h` which currently doesn't have namespace and is included in a weird way to have namespace Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/observability/BUILD.bazel | 8 ++++ src/ray/observability/metric_interface.h | 49 ++++++++++++++++++++++++ src/ray/stats/BUILD.bazel | 15 +++++++- src/ray/stats/metric.cc | 5 ++- src/ray/stats/metric.h | 17 ++++---- src/ray/stats/tag_defs.cc | 2 +- src/ray/stats/tag_defs.h | 9 ++++- 7 files changed, 90 insertions(+), 15 deletions(-) create mode 100644 src/ray/observability/metric_interface.h diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index a55197186043..623bd3ab6a53 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -16,3 +16,11 @@ ray_cc_library( "@io_opentelemetry_cpp//sdk/src/metrics", ], ) + +ray_cc_library( + name = "metric_interface", + hdrs = ["metric_interface.h"], + deps = [ + "@io_opencensus_cpp//opencensus/stats", + ], +) diff --git a/src/ray/observability/metric_interface.h b/src/ray/observability/metric_interface.h new file mode 100644 index 000000000000..4ba235e0e0b7 --- /dev/null +++ b/src/ray/observability/metric_interface.h @@ -0,0 +1,49 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "opencensus/tags/tag_key.h" + +namespace ray { + +// TODO(can-anyscale): Use stats namespace for backward compatibility. We will remove +// these types soon when opencensus is removed, and then we can remove this namespace. +namespace stats { + +using TagKeyType = opencensus::tags::TagKey; +using TagsType = std::vector>; + +} // namespace stats + +namespace observability { + +class MetricInterface { + public: + virtual ~MetricInterface() = default; + + virtual void Record(double value) = 0; + virtual void Record(double value, stats::TagsType tags) = 0; + virtual void Record(double value, + const std::unordered_map &tags) = 0; + virtual void Record(double value, + const std::unordered_map &tags) = 0; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index cdabcc11f1d7..2be6459bb0fd 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -10,10 +10,11 @@ ray_cc_library( hdrs = [ "metric.h", "metric_defs.h", - "tag_defs.h", ], deps = [ + ":tag_defs", "//src/ray/common:ray_config", + "//src/ray/observability:metric_interface", "//src/ray/observability:open_telemetry_metric_recorder", "//src/ray/util:logging", "//src/ray/util:size_literals", @@ -37,7 +38,6 @@ ray_cc_library( "metric.h", "metric_exporter.h", "stats.h", - "tag_defs.h", ], linkopts = select({ "@platforms//os:windows": [ @@ -48,9 +48,20 @@ ray_cc_library( }), deps = [ ":stats_metric", + ":tag_defs", + "//src/ray/observability:metric_interface", "//src/ray/rpc:metrics_agent_client", "//src/ray/util:network_util", "//src/ray/util:size_literals", "@com_github_grpc_grpc//:grpc_opencensus_plugin", ], ) + +ray_cc_library( + name = "tag_defs", + srcs = ["tag_defs.cc"], + hdrs = ["tag_defs.h"], + deps = [ + "//src/ray/observability:metric_interface", + ], +) diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index 65e7032226bc..4903352ab0d2 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -161,7 +161,7 @@ void Metric::Record(double value, TagsType tags) { } void Metric::Record(double value, - std::unordered_map tags) { + const std::unordered_map &tags) { TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { @@ -171,7 +171,8 @@ void Metric::Record(double value, Record(value, std::move(tags_pair_vec)); } -void Metric::Record(double value, std::unordered_map tags) { +void Metric::Record(double value, + const std::unordered_map &tags) { TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 8ac54d521f31..cb1d3d83702a 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -29,16 +29,15 @@ #include "opencensus/stats/stats_exporter.h" #include "opencensus/tags/tag_key.h" #include "ray/common/ray_config.h" +#include "ray/observability/metric_interface.h" #include "ray/observability/open_telemetry_metric_recorder.h" +#include "ray/stats/tag_defs.h" #include "ray/util/logging.h" namespace ray { namespace stats { -/// Include tag_defs.h to define tag items -#include "ray/stats/tag_defs.h" - using OpenTelemetryMetricRecorder = ray::observability::OpenTelemetryMetricRecorder; /// StatsConfig per process. @@ -107,7 +106,7 @@ class StatsConfig final { }; /// A thin wrapper that wraps the `opencensus::tag::measure` for using it simply. -class Metric { +class Metric : public observability::MetricInterface { public: Metric(const std::string &name, std::string description, @@ -124,20 +123,22 @@ class Metric { const std::string &GetName() const { return name_; } /// Record the value for this metric. - void Record(double value) { Record(value, TagsType{}); } + void Record(double value) override { Record(value, TagsType{}); } /// Record the value for this metric. /// /// \param value The value that we record. /// \param tags The tag values that we want to record for this metric record. - void Record(double value, TagsType tags); + void Record(double value, TagsType tags) override; /// Record the value for this metric. /// /// \param value The value that we record. /// \param tags The map tag values that we want to record for this metric record. - void Record(double value, std::unordered_map tags); - void Record(double value, std::unordered_map tags); + void Record(double value, + const std::unordered_map &tags) override; + void Record(double value, + const std::unordered_map &tags) override; protected: virtual void RegisterView() = 0; diff --git a/src/ray/stats/tag_defs.cc b/src/ray/stats/tag_defs.cc index 527a06007c87..600d5f1ef95b 100644 --- a/src/ray/stats/tag_defs.cc +++ b/src/ray/stats/tag_defs.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/stats/metric.h" +#include "ray/stats/tag_defs.h" namespace ray { namespace stats { diff --git a/src/ray/stats/tag_defs.h b/src/ray/stats/tag_defs.h index 38c2df149dfc..47d197f71161 100644 --- a/src/ray/stats/tag_defs.h +++ b/src/ray/stats/tag_defs.h @@ -14,11 +14,13 @@ #pragma once +#include "ray/observability/metric_interface.h" + /// The definitions of tag keys that you can use every where. /// You can follow these examples to define and register your tag keys. -using TagKeyType = opencensus::tags::TagKey; -using TagsType = std::vector>; +namespace ray { +namespace stats { extern const TagKeyType ComponentKey; @@ -66,3 +68,6 @@ constexpr char kObjectUnsealed[] = "UNSEALED"; // GCS task manager tags constexpr char kGcsTaskStatusEventDropped[] = "STATUS_EVENT"; constexpr char kGcsProfileEventDropped[] = "PROFILE_EVENT"; + +} // namespace stats +} // namespace ray From 27aec3254db56ff36747c444737c82c8a063da83 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Tue, 26 Aug 2025 16:44:16 -0700 Subject: [PATCH 0881/1566] [train] ThreadRunner captures exceptions from nested threads (#55756) The `ThreadRunner` is an abstraction used by Ray Train to capture errors raised by the training function so they can be polled by the Ray Train controller. This PR extends the `ThreadRunner` to also capture errors raised by threads created by the training function e.g. async checkpoint upload threads (https://github.com/ray-project/ray/pull/55637). --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../execution/worker_group/thread_runner.py | 50 +++++++++++-------- python/ray/train/v2/_internal/util.py | 28 +++++++++++ .../ray/train/v2/tests/test_thread_runner.py | 48 +++++++++++++++++- 3 files changed, 104 insertions(+), 22 deletions(-) diff --git a/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py b/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py index ef19e66583d4..460b2f59c18a 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py +++ b/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py @@ -1,10 +1,13 @@ import logging +import queue import threading -import traceback from typing import Callable, Optional, TypeVar from ray.train.v2._internal.exceptions import UserExceptionWithTraceback -from ray.train.v2._internal.util import get_callable_name +from ray.train.v2._internal.util import ( + construct_user_exception_with_traceback, + get_callable_name, +) T = TypeVar("T") @@ -21,7 +24,9 @@ def __init__(self): self._exc: Optional[UserExceptionWithTraceback] = None self._thread: Optional[threading.Thread] = None + self._monitor_thread: Optional[threading.Thread] = None self._lock = threading.Lock() + self._exc_queue: queue.SimpleQueue[Optional[Exception]] = queue.SimpleQueue() self._is_running = False @@ -37,19 +42,13 @@ def _run_target(): result = target() with self._lock: self._ret = result + self._exc_queue.put(None) except BaseException as e: - with self._lock: - # Exclude the first 2 frames from the traceback, which are - # the `ThreadRunner._run_target` and `construct_train_func` calls. - # TODO(justinvyu): This is brittle and may break if the call stack - # changes. Figure out a more robust way to exclude these frames. - exc_traceback_str = traceback.format_exc( - limit=-(len(traceback.extract_tb(e.__traceback__)) - 2) - ) - logger.error(f"Error in training function:\n{exc_traceback_str}") - self._exc = UserExceptionWithTraceback( - e, traceback_str=exc_traceback_str - ) + # Exclude the first 2 frames from the traceback, which are + # the `ThreadRunner._run_target` and `construct_train_func` calls. + self._exc_queue.put( + construct_user_exception_with_traceback(e, exclude_frames=2) + ) with self._lock: self._is_running = False @@ -61,7 +60,20 @@ def _run_target(): ) self._thread.start() + def _monitor_target(): + exc = self._exc_queue.get() + with self._lock: + self._exc = exc + + self._monitor_thread = threading.Thread( + target=_monitor_target, + daemon=True, + name=f"MonitoringThread({get_callable_name(target)})", + ) + self._monitor_thread.start() + def is_running(self) -> bool: + """Returns whether the target function is still running.""" with self._lock: return self._is_running @@ -73,10 +85,6 @@ def get_return_value(self) -> Optional[T]: with self._lock: return self._ret - def join(self, timeout: Optional[float] = None) -> T: - if self._thread is None: - raise RuntimeError("Must call `run` before trying to `join`.") - - self._thread.join(timeout=timeout) - - return self.get_return_value() + def get_exception_queue(self) -> queue.SimpleQueue: + """Returns a queue that nested threads can add exceptions to.""" + return self._exc_queue diff --git a/python/ray/train/v2/_internal/util.py b/python/ray/train/v2/_internal/util.py index 8ce512af8d90..4f8a7c32732a 100644 --- a/python/ray/train/v2/_internal/util.py +++ b/python/ray/train/v2/_internal/util.py @@ -1,6 +1,8 @@ import contextlib import functools +import logging import time +import traceback from datetime import datetime from typing import ( Any, @@ -17,8 +19,12 @@ import ray from ray.train._internal.utils import count_required_parameters +from ray.train.v2._internal.exceptions import UserExceptionWithTraceback from ray.types import ObjectRef +logger = logging.getLogger(__name__) + + T = TypeVar("T") @@ -210,3 +216,25 @@ def get_callable_name(fn: Callable) -> str: # Fallback to the class name for objects that implement __call__ return fn.__class__.__name__ + + +def construct_user_exception_with_traceback( + e: BaseException, exclude_frames: int = 0 +) -> UserExceptionWithTraceback: + """Construct a UserExceptionWithTraceback from a base exception. + + Args: + e: The base exception to construct a UserExceptionWithTraceback from. + exclude_frames: The number of frames to exclude from the beginnning of + the traceback. + + Returns: + A UserExceptionWithTraceback object. + """ + # TODO(justinvyu): This is brittle and may break if the call stack + # changes. Figure out a more robust way to exclude these frames. + exc_traceback_str = traceback.format_exc( + limit=-(len(traceback.extract_tb(e.__traceback__)) - exclude_frames) + ) + logger.error(f"Error in training function:\n{exc_traceback_str}") + return UserExceptionWithTraceback(e, traceback_str=exc_traceback_str) diff --git a/python/ray/train/v2/tests/test_thread_runner.py b/python/ray/train/v2/tests/test_thread_runner.py index 788150a8af14..9d0c7f3d730b 100644 --- a/python/ray/train/v2/tests/test_thread_runner.py +++ b/python/ray/train/v2/tests/test_thread_runner.py @@ -1,14 +1,32 @@ +import threading import time import pytest from ray.train.v2._internal.exceptions import UserExceptionWithTraceback from ray.train.v2._internal.execution.worker_group.thread_runner import ThreadRunner +from ray.train.v2._internal.util import construct_user_exception_with_traceback + + +class ThreadRunnerWithJoin(ThreadRunner): + def join(self): + """Join both the target thread and the monitor thread. + + Do not include this with the main ThreadRunner class because: + * It is tricky to avoid hangs when nested threads raise errors + * We don't need to join in that case since the controller will see the + error and shut down the worker + """ + if self._monitor_thread is None or self._thread is None: + raise RuntimeError("Must call `run` before trying to `join`.") + self._monitor_thread.join() + self._thread.join() + return self.get_return_value() @pytest.fixture() def thread_runner(): - return ThreadRunner() + return ThreadRunnerWithJoin() def test_successful_return(thread_runner): @@ -48,6 +66,34 @@ def nested(): assert "_run_target" not in error._traceback_str +def test_nested_thread_error(thread_runner): + """Checks that we capture exceptions from threads kicked off by target function.""" + + def target(): + def nested(): + try: + raise ValueError + except ValueError as e: + thread_runner.get_exception_queue().put( + construct_user_exception_with_traceback(e) + ) + + thread = threading.Thread(target=nested) + thread.start() + thread.join() + + thread_runner.run(target) + assert not thread_runner.join() + + assert thread_runner.get_return_value() is None + assert not thread_runner.is_running() + + error = thread_runner.get_error() + + assert isinstance(error, UserExceptionWithTraceback) + assert isinstance(error._base_exc, ValueError) + + def test_running(thread_runner, tmp_path): """Checks that the running status can be queried.""" From 4c617eac811fcbfbefc3bfd208817dc5544ff611 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 26 Aug 2025 17:38:32 -0700 Subject: [PATCH 0882/1566] [core][otel] remove RAY_enable_open_telemetry from release tests (#55974) Remove the `RAY_enable_open_telemetry` environment variable from all release tests. This feature has been turned on staging (where the release tests run) by default so we no longer need this flag. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 28 +++++----------------------- 1 file changed, 5 insertions(+), 23 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index bfdb10067dd8..2c84db0f9c98 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2856,9 +2856,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_enable_open_telemetry=1 + byod: {} cluster_compute: stress_tests/placement_group_tests_compute.yaml run: @@ -2930,9 +2928,7 @@ working_dir: microbenchmark cluster: - byod: - runtime_env: - - RAY_enable_open_telemetry=1 + byod: {} cluster_compute: tpl_64.yaml run: @@ -3211,9 +3207,7 @@ frequency: nightly team: core cluster: - byod: - runtime_env: - - RAY_enable_open_telemetry=1 + byod: {} cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3253,9 +3247,7 @@ frequency: nightly team: core cluster: - byod: - runtime_env: - - RAY_enable_open_telemetry=1 + byod: {} cluster_compute: stress_tests/stress_tests_compute.yaml run: @@ -3387,9 +3379,7 @@ team: core env: aws_perf cluster: - byod: - runtime_env: - - RAY_enable_open_telemetry=1 + byod: {} cluster_compute: stress_tests/stress_tests_single_node_oom_compute.yaml run: @@ -3553,7 +3543,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: single_node.yaml run: @@ -3581,7 +3570,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: object_store.yaml run: @@ -3610,7 +3598,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: object_store/small_objects.yaml run: @@ -3634,7 +3621,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: object_store/large_objects.yaml run: @@ -3658,7 +3644,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3707,7 +3692,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3736,7 +3720,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: distributed.yaml run: @@ -3786,7 +3769,6 @@ type: gpu runtime_env: - LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so - - RAY_enable_open_telemetry=1 cluster_compute: many_nodes.yaml run: From a6d1ec512128ee292221539d6eee383de37b4047 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 26 Aug 2025 17:49:07 -0700 Subject: [PATCH 0883/1566] [deps] updating byod requirements (#55977) updating byod requirements (gynamisum 1.0.0 -> 1.1.1) Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- release/ray_release/byod/requirements_byod_3.9.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 3613efcea7f5..d74b06abc2d7 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -1263,9 +1263,9 @@ gsutil==5.27 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -gymnasium[atari]==1.0.0 \ - --hash=sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403 \ - --hash=sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad +gymnasium[atari]==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in From 5df34cc01ba76d72674f8954a6ea4097c3a487ce Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 26 Aug 2025 17:56:16 -0700 Subject: [PATCH 0884/1566] [ci] creating new buildkite group for dependency testing (#55755) creating new buildkite group for dependency compilation testing renaming compile job --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .buildkite/dependencies.rayci.yml | 28 ++++++++++++++++++++++++++++ .buildkite/others.rayci.yml | 25 ------------------------- 2 files changed, 28 insertions(+), 25 deletions(-) create mode 100644 .buildkite/dependencies.rayci.yml diff --git a/.buildkite/dependencies.rayci.yml b/.buildkite/dependencies.rayci.yml new file mode 100644 index 000000000000..97f96c3e752b --- /dev/null +++ b/.buildkite/dependencies.rayci.yml @@ -0,0 +1,28 @@ +group: dependencies +depends_on: + - forge +steps: + # dependencies + - label: ":tapioca: build: pip-compile dependencies" + key: pip_compile_dependencies + tags: always + instance_type: small + commands: + # uncomment the following line to update the pinned versions of pip dependencies + # to the latest versions; otherwise, the pinned versions will be re-used as much + # as possible + # - rm ./python/requirements_compiled.txt + - cp ./python/requirements_compiled.txt requirements_compiled_backup.txt + - ./ci/ci.sh compile_pip_dependencies + - cp -f ./python/requirements_compiled.txt /artifact-mount/ + - diff ./python/requirements_compiled.txt requirements_compiled_backup.txt || (echo "requirements_compiled.txt is not up to date. Please download it from Artifacts tab and git push the changes." && exit 1) + job_env: oss-ci-base_test-py3.11 + depends_on: oss-ci-base_test-multipy + + - label: ":tapioca: build: raydepsets: compile LLM dependencies" + key: raydepsets_compile_llm_dependencies + tags: always + instance_type: small + command: ./ci/test_compile_llm_requirements.sh + job_env: oss-ci-base_test-py3.11 + depends_on: oss-ci-base_test-multipy diff --git a/.buildkite/others.rayci.yml b/.buildkite/others.rayci.yml index 3f4551474e30..08fbf7944b8b 100644 --- a/.buildkite/others.rayci.yml +++ b/.buildkite/others.rayci.yml @@ -2,31 +2,6 @@ group: others depends_on: - forge steps: - # dependencies - - label: ":tapioca: build: pip-compile dependencies" - key: pip_compile_dependencies - tags: always - instance_type: small - commands: - # uncomment the following line to update the pinned versions of pip dependencies - # to the latest versions; otherwise, the pinned versions will be re-used as much - # as possible - # - rm ./python/requirements_compiled.txt - - cp ./python/requirements_compiled.txt requirements_compiled_backup.txt - - ./ci/ci.sh compile_pip_dependencies - - cp -f ./python/requirements_compiled.txt /artifact-mount/ - - diff ./python/requirements_compiled.txt requirements_compiled_backup.txt || (echo "requirements_compiled.txt is not up to date. Please download it from Artifacts tab and git push the changes." && exit 1) - job_env: oss-ci-base_test-py3.11 - depends_on: oss-ci-base_test-multipy - - - label: ":tapioca: build: uv pip compile LLM dependencies" - key: uv_pip_compile_llm_dependencies - tags: always - instance_type: small - command: ./ci/test_compile_llm_requirements.sh - job_env: oss-ci-base_test-py3.11 - depends_on: oss-ci-base_test-multipy - # docs - name: doctestbuild wanda: ci/docker/doctest.build.wanda.yaml From 29ec7153bf6201932f8a164f2c20a5fa0518d576 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 26 Aug 2025 19:54:56 -0700 Subject: [PATCH 0885/1566] [core] Cleanup dead grpc server code (#55965) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- BUILD.bazel | 14 +------------- python/ray/includes/ray_config.pxd | 8 -------- python/ray/includes/ray_config.pxi | 16 ---------------- src/ray/common/ray_config_def.h | 6 ------ src/ray/gcs/gcs_server/gcs_server.cc | 1 - src/ray/object_manager/object_manager.cc | 3 +-- src/ray/rpc/grpc_server.h | 2 -- src/ray/rpc/server_call.h | 14 ++------------ 8 files changed, 4 insertions(+), 60 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index ae56691ed2f7..b0a4b3bb17cb 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -116,20 +116,8 @@ alias( # https://github.com/hedronvision/bazel-compile-commands-extractor?tab=readme-ov-file#vscode - directions for clangd config refresh_compile_commands( name = "refresh_compile_commands", - exclude_external_sources = True, # removed below to have lsp index external cc files at the cost of 2x index time - # Specify the targets of interest. - # For example, specify a dict of targets and any flags required to build. targets = { - "//:ray_pkg_zip": "", - }, - # No need to add flags already in .bazelrc. They're automatically picked up. -) - -# bazel run :refresh_compile_commands_external_sources for generation with external source files (cc files) -refresh_compile_commands( - name = "refresh_compile_commands_external_sources", - targets = { - "//:ray_pkg_zip": "", + "//:ray_pkg": "", }, ) diff --git a/python/ray/includes/ray_config.pxd b/python/ray/includes/ray_config.pxd index 9459cbbef77b..01e9827b98f9 100644 --- a/python/ray/includes/ray_config.pxd +++ b/python/ray/includes/ray_config.pxd @@ -69,12 +69,6 @@ cdef extern from "ray/common/ray_config.h" nogil: int64_t health_check_failure_threshold() const - uint64_t memory_monitor_refresh_ms() const - - int64_t grpc_keepalive_time_ms() const - - int64_t grpc_keepalive_timeout_ms() const - int64_t grpc_client_keepalive_time_ms() const int64_t grpc_client_keepalive_timeout_ms() const @@ -89,8 +83,6 @@ cdef extern from "ray/common/ray_config.h" nogil: int64_t py_gcs_connect_timeout_s() const - int gcs_rpc_server_reconnect_timeout_s() const - int maximum_gcs_destroyed_actor_cached_count() const c_bool record_task_actor_creation_sites() const diff --git a/python/ray/includes/ray_config.pxi b/python/ray/includes/ray_config.pxi index d1506678bae4..26236f2cce2c 100644 --- a/python/ray/includes/ray_config.pxi +++ b/python/ray/includes/ray_config.pxi @@ -117,18 +117,6 @@ cdef class Config: def health_check_failure_threshold(): return RayConfig.instance().health_check_failure_threshold() - @staticmethod - def memory_monitor_refresh_ms(): - return (RayConfig.instance().memory_monitor_refresh_ms()) - - @staticmethod - def grpc_keepalive_time_ms(): - return RayConfig.instance().grpc_keepalive_time_ms() - - @staticmethod - def grpc_keepalive_timeout_ms(): - return RayConfig.instance().grpc_keepalive_timeout_ms() - @staticmethod def grpc_client_keepalive_time_ms(): return RayConfig.instance().grpc_client_keepalive_time_ms() @@ -149,10 +137,6 @@ cdef class Config: def py_gcs_connect_timeout_s(): return RayConfig.instance().py_gcs_connect_timeout_s() - @staticmethod - def gcs_rpc_server_reconnect_timeout_s(): - return RayConfig.instance().gcs_rpc_server_reconnect_timeout_s() - @staticmethod def maximum_gcs_destroyed_actor_cached_count(): return RayConfig.instance().maximum_gcs_destroyed_actor_cached_count() diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 74a932c136a5..85adf608b1cc 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -750,12 +750,6 @@ RAY_CONFIG(std::string, custom_unit_instance_resources, "neuron_cores,TPU,NPU,HP /// Ray-internal auxiliary tasks (e.g., compiled graph workers). RAY_CONFIG(std::string, system_concurrency_group_name, "_ray_system") -// Maximum size of the batches when broadcasting resources to raylet. -RAY_CONFIG(uint64_t, resource_broadcast_batch_size, 512) - -// Maximum ray sync message batch size in bytes (1MB by default) between nodes. -RAY_CONFIG(uint64_t, max_sync_message_batch_bytes, 1 * 1024 * 1024) - /// ServerCall instance number of each RPC service handler /// /// NOTE: Default value is temporarily pegged at `gcs_server_rpc_server_thread_num * 100` diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index d49029f4dc93..00ce1088abe0 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -63,7 +63,6 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, rpc_server_(config.grpc_server_name, config.grpc_server_port, config.node_ip_address == "127.0.0.1", - ClusterID::Nil(), config.grpc_server_thread_num, /*keepalive_time_ms=*/RayConfig::instance().grpc_keepalive_time_ms()), client_call_manager_(main_service, diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 53b18b32d11c..c8c3deb29311 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -108,13 +108,12 @@ ObjectManager::ObjectManager( object_manager_server_("ObjectManager", config_.object_manager_port, config_.object_manager_address == "127.0.0.1", - ClusterID::Nil(), config_.rpc_service_threads_number), client_call_manager_(main_service, /*record_stats=*/true, ClusterID::Nil(), config_.rpc_service_threads_number), - restore_spilled_object_(restore_spilled_object), + restore_spilled_object_(std::move(restore_spilled_object)), get_spilled_object_url_(std::move(get_spilled_object_url)), pull_retry_timer_(*main_service_, boost::posix_time::milliseconds(config.timer_freq_ms)), diff --git a/src/ray/rpc/grpc_server.h b/src/ray/rpc/grpc_server.h index 686c4a68b2a4..93c16457f9cb 100644 --- a/src/ray/rpc/grpc_server.h +++ b/src/ray/rpc/grpc_server.h @@ -96,13 +96,11 @@ class GrpcServer { GrpcServer(std::string name, const uint32_t port, bool listen_to_localhost_only, - const ClusterID &cluster_id = ClusterID::Nil(), int num_threads = 1, int64_t keepalive_time_ms = 7200000 /*2 hours, grpc default*/) : name_(std::move(name)), port_(port), listen_to_localhost_only_(listen_to_localhost_only), - cluster_id_(ClusterID::Nil()), is_shutdown_(true), num_threads_(num_threads), keepalive_time_ms_(keepalive_time_ms) { diff --git a/src/ray/rpc/server_call.h b/src/ray/rpc/server_call.h index a2e7cd2ceea5..698767d7e25b 100644 --- a/src/ray/rpc/server_call.h +++ b/src/ray/rpc/server_call.h @@ -109,9 +109,6 @@ class ServerCall { /// Get the state of this `ServerCall`. virtual ServerCallState GetState() const = 0; - /// Set state of this `ServerCall`. - virtual void SetState(const ServerCallState &new_state) = 0; - /// Handle the requst. This is the callback function to be called by /// `GrpcServer` when the request is received. virtual void HandleRequest() = 0; @@ -201,12 +198,8 @@ class ServerCallImpl : public ServerCall { } } - ~ServerCallImpl() override = default; - ServerCallState GetState() const override { return state_; } - void SetState(const ServerCallState &new_state) override { state_ = new_state; } - void HandleRequest() override { stats_handle_ = io_service_.stats().RecordStart(call_name_); bool auth_success = true; @@ -262,15 +255,12 @@ class ServerCallImpl : public ServerCall { } } state_ = ServerCallState::PROCESSING; - // NOTE(hchen): This `factory` local variable is needed. Because `SendReply` runs in - // a different thread, and will cause `this` to be deleted. - const auto &factory = factory_; - if (factory.GetMaxActiveRPCs() == -1) { + if (factory_.GetMaxActiveRPCs() == -1) { // Create a new `ServerCall` to accept the next incoming request. // We create this before handling the request only when no back pressure limit is // set. So that the it can be populated by the completion queue in the background if // a new request comes in. - factory.CreateCall(); + factory_.CreateCall(); } if (!auth_success) { boost::asio::post(GetServerCallExecutor(), [this]() { From 998a089388821b7ad977ff2d8204e3bf705fee69 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 26 Aug 2025 20:14:05 -0700 Subject: [PATCH 0886/1566] [core][proto] split runtime_env_common proto to private+public (#55913) The `RuntimeEnvInfo` and its dependencies (part of`runtime_env_common`) is a public proto because it is used inside another public proto. Move `RuntimeEnfInfo` to the `public` directory. The `RuntimeEnvState` remains private. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: can Signed-off-by: Douglas Strodtman --- ci/pipeline/determine_tests_to_run.py | 2 +- cpp/src/ray/runtime/runtime_env.cc | 2 +- java/BUILD.bazel | 5 +- .../runtime/runtimeenv/RuntimeEnvImpl.java | 14 +++--- python/ray/_private/utils.py | 2 +- .../aggregator/tests/test_aggregator_agent.py | 2 +- python/ray/runtime_env/runtime_env.py | 2 +- src/ray/protobuf/BUILD.bazel | 9 ++-- src/ray/protobuf/common.proto | 2 +- .../events_actor_task_definition_event.proto | 2 +- .../events_task_definition_event.proto | 2 +- src/ray/protobuf/node_manager.proto | 2 +- src/ray/protobuf/public/BUILD.bazel | 14 ++++-- .../events_driver_job_definition_event.proto | 2 +- .../events_driver_job_execution_event.proto | 2 - .../protobuf/public/runtime_environment.proto | 47 +++++++++++++++++++ src/ray/protobuf/runtime_env_agent.proto | 1 + src/ray/protobuf/runtime_env_common.proto | 28 ----------- src/ray/raylet/runtime_env_agent_client.h | 2 +- 19 files changed, 87 insertions(+), 55 deletions(-) create mode 100644 src/ray/protobuf/public/runtime_environment.proto diff --git a/ci/pipeline/determine_tests_to_run.py b/ci/pipeline/determine_tests_to_run.py index 61939c5adacb..e32d548668f6 100644 --- a/ci/pipeline/determine_tests_to_run.py +++ b/ci/pipeline/determine_tests_to_run.py @@ -14,7 +14,7 @@ lint python cpp core_cpp java workflow compiled_graphs dashboard ray_client data dask serve ml tune train llm rllib rllib_gpu rllib_directly linux_wheels macos_wheels docker doc python_dependencies tools - release_tests compiled_python spark_on_ray + release_tests compiled_python spark_on_ray runtime_env_container """.split() ) diff --git a/cpp/src/ray/runtime/runtime_env.cc b/cpp/src/ray/runtime/runtime_env.cc index df69dbfd36d3..437238bd2f9c 100644 --- a/cpp/src/ray/runtime/runtime_env.cc +++ b/cpp/src/ray/runtime/runtime_env.cc @@ -16,7 +16,7 @@ #include #include -#include "src/ray/protobuf/runtime_env_common.pb.h" +#include "src/ray/protobuf/public/runtime_environment.pb.h" namespace ray { diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 7f2bc61fa6d4..7833c83d8fa3 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -254,7 +254,10 @@ java_proto_compile( java_proto_compile( name = "runtime_env_common_java_proto", - deps = ["@io_ray//src/ray/protobuf:runtime_env_common_proto"], + deps = [ + "@io_ray//src/ray/protobuf:runtime_env_common_proto", + "@io_ray//src/ray/protobuf/public:runtime_environment_proto", + ], ) java_proto_compile( diff --git a/java/runtime/src/main/java/io/ray/runtime/runtimeenv/RuntimeEnvImpl.java b/java/runtime/src/main/java/io/ray/runtime/runtimeenv/RuntimeEnvImpl.java index 81c1cfde5657..b25566964b9d 100644 --- a/java/runtime/src/main/java/io/ray/runtime/runtimeenv/RuntimeEnvImpl.java +++ b/java/runtime/src/main/java/io/ray/runtime/runtimeenv/RuntimeEnvImpl.java @@ -10,7 +10,7 @@ import io.ray.api.exception.RuntimeEnvException; import io.ray.api.runtimeenv.RuntimeEnv; import io.ray.api.runtimeenv.RuntimeEnvConfig; -import io.ray.runtime.generated.RuntimeEnvCommon; +import io.ray.runtime.generated.RuntimeEnvironment; import java.io.IOException; public class RuntimeEnvImpl implements RuntimeEnv { @@ -100,7 +100,7 @@ public boolean isEmpty() { @Override public String serializeToRuntimeEnvInfo() throws RuntimeEnvException { - RuntimeEnvCommon.RuntimeEnvInfo protoRuntimeEnvInfo = GenerateRuntimeEnvInfo(); + RuntimeEnvironment.RuntimeEnvInfo protoRuntimeEnvInfo = GenerateRuntimeEnvInfo(); JsonFormat.Printer printer = JsonFormat.printer(); try { @@ -123,15 +123,15 @@ public RuntimeEnvConfig getConfig() { return get(CONFIG_FIELD_NAME, RuntimeEnvConfig.class); } - public RuntimeEnvCommon.RuntimeEnvInfo GenerateRuntimeEnvInfo() throws RuntimeEnvException { + public RuntimeEnvironment.RuntimeEnvInfo GenerateRuntimeEnvInfo() throws RuntimeEnvException { String serializeRuntimeEnv = serialize(); - RuntimeEnvCommon.RuntimeEnvInfo.Builder protoRuntimeEnvInfoBuilder = - RuntimeEnvCommon.RuntimeEnvInfo.newBuilder(); + RuntimeEnvironment.RuntimeEnvInfo.Builder protoRuntimeEnvInfoBuilder = + RuntimeEnvironment.RuntimeEnvInfo.newBuilder(); protoRuntimeEnvInfoBuilder.setSerializedRuntimeEnv(serializeRuntimeEnv); RuntimeEnvConfig runtimeEnvConfig = getConfig(); if (runtimeEnvConfig != null) { - RuntimeEnvCommon.RuntimeEnvConfig.Builder protoRuntimeEnvConfigBuilder = - RuntimeEnvCommon.RuntimeEnvConfig.newBuilder(); + RuntimeEnvironment.RuntimeEnvConfig.Builder protoRuntimeEnvConfigBuilder = + RuntimeEnvironment.RuntimeEnvConfig.newBuilder(); protoRuntimeEnvConfigBuilder.setSetupTimeoutSeconds( runtimeEnvConfig.getSetupTimeoutSeconds()); protoRuntimeEnvConfigBuilder.setEagerInstall(runtimeEnvConfig.getEagerInstall()); diff --git a/python/ray/_private/utils.py b/python/ray/_private/utils.py index 9204f46b6463..7793787e488f 100644 --- a/python/ray/_private/utils.py +++ b/python/ray/_private/utils.py @@ -35,7 +35,7 @@ get_ray_address_file, get_system_memory, ) -from ray.core.generated.runtime_env_common_pb2 import ( +from ray.core.generated.runtime_environment_pb2 import ( RuntimeEnvInfo as ProtoRuntimeEnvInfo, ) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 1853029f006f..8ab41de85aeb 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -40,7 +40,7 @@ from ray.core.generated.events_driver_job_execution_event_pb2 import ( DriverJobExecutionEvent, ) -from ray.core.generated.runtime_env_common_pb2 import ( +from ray.core.generated.runtime_environment_pb2 import ( RuntimeEnvInfo, RuntimeEnvUris, RuntimeEnvConfig, diff --git a/python/ray/runtime_env/runtime_env.py b/python/ray/runtime_env/runtime_env.py index 0682c48539fb..c43685a921d0 100644 --- a/python/ray/runtime_env/runtime_env.py +++ b/python/ray/runtime_env/runtime_env.py @@ -17,7 +17,7 @@ OPTION_TO_NO_PATH_VALIDATION_FN, ) from ray._private.thirdparty.dacite import from_dict -from ray.core.generated.runtime_env_common_pb2 import ( +from ray.core.generated.runtime_environment_pb2 import ( RuntimeEnvConfig as ProtoRuntimeEnvConfig, ) from ray.util.annotations import PublicAPI diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 01cc6a39f45e..f1c6bad93acf 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -13,7 +13,7 @@ proto_library( "//java:__subpackages__", ], deps = [ - ":runtime_env_common_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) @@ -107,7 +107,7 @@ proto_library( ":autoscaler_proto", ":common_proto", ":gcs_proto", - ":runtime_env_common_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) @@ -402,6 +402,7 @@ proto_library( deps = [ ":common_proto", ":runtime_env_common_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) @@ -425,7 +426,6 @@ proto_library( srcs = ["autoscaler.proto"], deps = [ ":common_proto", - ":runtime_env_common_proto", ], ) @@ -449,6 +449,7 @@ proto_library( deps = [ ":common_proto", ":runtime_env_common_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) @@ -463,6 +464,7 @@ proto_library( deps = [ ":common_proto", ":runtime_env_common_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) @@ -559,6 +561,7 @@ python_grpc_compile( ":runtime_env_agent_proto", ":runtime_env_common_proto", ":usage_proto", + "//src/ray/protobuf/public:runtime_environment_proto", ], ) diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 3c990b2f0a53..56dc85bb7020 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -16,7 +16,7 @@ syntax = "proto3"; package ray.rpc; -import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; option java_package = "io.ray.runtime.generated"; diff --git a/src/ray/protobuf/events_actor_task_definition_event.proto b/src/ray/protobuf/events_actor_task_definition_event.proto index c201c1602804..12cda5260379 100644 --- a/src/ray/protobuf/events_actor_task_definition_event.proto +++ b/src/ray/protobuf/events_actor_task_definition_event.proto @@ -14,7 +14,7 @@ syntax = "proto3"; -import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; import "src/ray/protobuf/common.proto"; package ray.rpc.events; diff --git a/src/ray/protobuf/events_task_definition_event.proto b/src/ray/protobuf/events_task_definition_event.proto index 2c63c7559b34..7ed83ae87938 100644 --- a/src/ray/protobuf/events_task_definition_event.proto +++ b/src/ray/protobuf/events_task_definition_event.proto @@ -14,7 +14,7 @@ syntax = "proto3"; -import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; import "src/ray/protobuf/common.proto"; package ray.rpc.events; diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index 16ddfd364243..0585ad27c087 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -19,7 +19,7 @@ package ray.rpc; import "src/ray/protobuf/common.proto"; import "src/ray/protobuf/gcs.proto"; import "src/ray/protobuf/autoscaler.proto"; -import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; message WorkerBacklogReport { // TaskSpec indicating the scheduling class. diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 991c911f16f1..dc7712fbd8e9 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -7,8 +7,8 @@ proto_library( name = "events_driver_job_definition_event_proto", srcs = ["events_driver_job_definition_event.proto"], deps = [ + ":runtime_environment_proto", "//src/ray/protobuf:common_proto", - "//src/ray/protobuf:runtime_env_common_proto", "@com_google_protobuf//:timestamp_proto", ], ) @@ -22,8 +22,6 @@ proto_library( name = "events_driver_job_execution_event_proto", srcs = ["events_driver_job_execution_event.proto"], deps = [ - "//src/ray/protobuf:common_proto", - "//src/ray/protobuf:runtime_env_common_proto", "@com_google_protobuf//:timestamp_proto", ], ) @@ -32,3 +30,13 @@ cc_proto_library( name = "events_driver_job_execution_event_cc_proto", deps = [":events_driver_job_execution_event_proto"], ) + +proto_library( + name = "runtime_environment_proto", + srcs = ["runtime_environment.proto"], +) + +cc_proto_library( + name = "runtime_environment_cc_proto", + deps = [":runtime_environment_proto"], +) diff --git a/src/ray/protobuf/public/events_driver_job_definition_event.proto b/src/ray/protobuf/public/events_driver_job_definition_event.proto index 498982ee220d..a9f17714c7a1 100644 --- a/src/ray/protobuf/public/events_driver_job_definition_event.proto +++ b/src/ray/protobuf/public/events_driver_job_definition_event.proto @@ -16,7 +16,7 @@ syntax = "proto3"; import "google/protobuf/timestamp.proto"; -import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; package ray.rpc.events; diff --git a/src/ray/protobuf/public/events_driver_job_execution_event.proto b/src/ray/protobuf/public/events_driver_job_execution_event.proto index 73153b7b05e2..2d6c58f1c760 100644 --- a/src/ray/protobuf/public/events_driver_job_execution_event.proto +++ b/src/ray/protobuf/public/events_driver_job_execution_event.proto @@ -16,8 +16,6 @@ syntax = "proto3"; import "google/protobuf/timestamp.proto"; -import "src/ray/protobuf/runtime_env_common.proto"; -import "src/ray/protobuf/common.proto"; package ray.rpc.events; diff --git a/src/ray/protobuf/public/runtime_environment.proto b/src/ray/protobuf/public/runtime_environment.proto new file mode 100644 index 000000000000..f707d888e5fd --- /dev/null +++ b/src/ray/protobuf/public/runtime_environment.proto @@ -0,0 +1,47 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc; + +option java_package = "io.ray.runtime.generated"; + +message RuntimeEnvUris { + /// working dir uri + string working_dir_uri = 1; + /// python modules uris + repeated string py_modules_uris = 2; +} + +/// The runtime env config, include some fields that do not +/// participate in the calculation of the runtime_env hash. +message RuntimeEnvConfig { + /// The timeout of runtime env creation. + int32 setup_timeout_seconds = 1; + /// Indicates whether to install runtime env eagerly before the workers are leased. + bool eager_install = 2; + /// A list of files to stream the runtime env setup logs to. + repeated string log_files = 3; +} + +/// The runtime env information which is transferred between ray core processes. +message RuntimeEnvInfo { + /// The serialized runtime env passed from the user. + string serialized_runtime_env = 1; + /// URIs used in this runtime env. These will be used for reference counting. + RuntimeEnvUris uris = 2; + /// The serialized runtime env config passed from the user. + RuntimeEnvConfig runtime_env_config = 3; +} diff --git a/src/ray/protobuf/runtime_env_agent.proto b/src/ray/protobuf/runtime_env_agent.proto index 707b818d3279..161f844a0d77 100644 --- a/src/ray/protobuf/runtime_env_agent.proto +++ b/src/ray/protobuf/runtime_env_agent.proto @@ -17,6 +17,7 @@ syntax = "proto3"; package ray.rpc; import "src/ray/protobuf/runtime_env_common.proto"; +import "src/ray/protobuf/public/runtime_environment.proto"; enum AgentRpcStatus { // OK. diff --git a/src/ray/protobuf/runtime_env_common.proto b/src/ray/protobuf/runtime_env_common.proto index b11021ef6ab8..c7f01fd493b4 100644 --- a/src/ray/protobuf/runtime_env_common.proto +++ b/src/ray/protobuf/runtime_env_common.proto @@ -18,34 +18,6 @@ package ray.rpc; option java_package = "io.ray.runtime.generated"; -message RuntimeEnvUris { - /// working dir uri - string working_dir_uri = 1; - /// python modules uris - repeated string py_modules_uris = 2; -} - -/// The runtime env config, include some fields that do not -/// participate in the calculation of the runtime_env hash. -message RuntimeEnvConfig { - /// The timeout of runtime env creation. - int32 setup_timeout_seconds = 1; - /// Indicates whether to install runtime env eagerly before the workers are leased. - bool eager_install = 2; - /// A list of files to stream the runtime env setup logs to. - repeated string log_files = 3; -} - -/// The runtime env information which is transferred between ray core processes. -message RuntimeEnvInfo { - /// The serialized runtime env passed from the user. - string serialized_runtime_env = 1; - /// URIs used in this runtime env. These will be used for reference counting. - RuntimeEnvUris uris = 2; - /// The serialized runtime env config passed from the user. - RuntimeEnvConfig runtime_env_config = 3; -} - message RuntimeEnvState { /// The serialized runtime env. string runtime_env = 1; diff --git a/src/ray/raylet/runtime_env_agent_client.h b/src/ray/raylet/runtime_env_agent_client.h index f86b0fd3ddbf..feec543aed55 100644 --- a/src/ray/raylet/runtime_env_agent_client.h +++ b/src/ray/raylet/runtime_env_agent_client.h @@ -25,7 +25,7 @@ #include "ray/common/id.h" #include "ray/common/ray_config.h" #include "src/ray/protobuf/gcs.pb.h" -#include "src/ray/protobuf/runtime_env_common.pb.h" +#include "src/ray/protobuf/public/runtime_environment.pb.h" namespace ray { namespace raylet { From 6bb90529cf228b8115ed1d7f12a7ed3fc780d8a4 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 26 Aug 2025 20:19:49 -0700 Subject: [PATCH 0887/1566] [wheel] add `gen_py_proto` script (#55957) as a replacement for `install_py_proto`, for people who only wants to regenerate the protobuf python files but not the ray core bits Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 12 ++++++++++++ bazel/gen_extract.py | 4 +++- gen_py_proto.py | 12 ++++++++++++ 3 files changed, 27 insertions(+), 1 deletion(-) create mode 100644 gen_py_proto.py diff --git a/BUILD.bazel b/BUILD.bazel index b0a4b3bb17cb..f2ce28aa7e9b 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -503,6 +503,18 @@ genrule( local = 1, ) +py_binary( + name = "gen_py_proto", + srcs = ["gen_py_proto.py"], + data = [ + ":ray_py_proto_zip", + ], + visibility = ["//visibility:private"], + deps = [ + "//bazel:gen_extract", + ], +) + py_binary( name = "gen_ray_pkg", srcs = ["gen_ray_pkg.py"], diff --git a/bazel/gen_extract.py b/bazel/gen_extract.py index 1930440a4235..80402bc9f39c 100644 --- a/bazel/gen_extract.py +++ b/bazel/gen_extract.py @@ -16,7 +16,9 @@ def gen_extract( root_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY") if not root_dir: - raise ValueError("BUILD_WORKSPACE_DIRECTORY not set") + raise ValueError( + "BUILD_WORKSPACE_DIRECTORY not set; please run this script from 'bazelisk run'" + ) if sub_dir: extract_dir = os.path.join(root_dir, sub_dir) diff --git a/gen_py_proto.py b/gen_py_proto.py new file mode 100644 index 000000000000..cbc71e0a2542 --- /dev/null +++ b/gen_py_proto.py @@ -0,0 +1,12 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + [ + "ray_py_proto.zip", + ], + clear_dir_first=[ + "ray/core/generated", + "ray/serve/generated", + ], + ) From 68fdbc82881f95c90861b8390e5dfef6d14a5206 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Wed, 27 Aug 2025 07:06:24 -0700 Subject: [PATCH 0888/1566] [serve] Cache router metrics (#55897) ## Why are these changes needed? We can improve performance by caching metrics at the router and updating the metrics async. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/router.py | 64 +++++++++++++++++++--- python/ray/serve/tests/unit/test_router.py | 38 ++++++++++--- 2 files changed, 86 insertions(+), 16 deletions(-) diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 82f90674184b..29658716439d 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -37,6 +37,7 @@ RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S, RAY_SERVE_HANDLE_AUTOSCALING_METRIC_RECORD_INTERVAL_S, + RAY_SERVE_METRICS_EXPORT_INTERVAL_MS, RAY_SERVE_PROXY_PREFER_LOCAL_AZ_ROUTING, SERVE_LOGGER_NAME, ) @@ -80,6 +81,7 @@ def __init__( router_requests_counter: metrics.Counter, queued_requests_gauge: metrics.Gauge, running_requests_gauge: metrics.Gauge, + event_loop: asyncio.BaseEventLoop, ): self._handle_id = handle_id self._deployment_id = deployment_id @@ -139,6 +141,14 @@ def __init__( # Track whether the metrics manager has been shutdown self._shutdown: bool = False + # If the interval is set to 0, eagerly sets all metrics. + self._cached_metrics_enabled = RAY_SERVE_METRICS_EXPORT_INTERVAL_MS != 0 + self._cached_metrics_interval_s = RAY_SERVE_METRICS_EXPORT_INTERVAL_MS / 1000 + + if self._cached_metrics_enabled: + self._cached_num_router_requests = defaultdict(int) + event_loop.create_task(self._report_cached_metrics_forever()) + @contextmanager def wrap_request_assignment(self, request_meta: RequestMetadata): max_queued_requests = ( @@ -271,30 +281,65 @@ def update_deployment_config( if self.metrics_pusher: self.metrics_pusher.stop_tasks() + def _report_cached_metrics(self): + for route, count in self._cached_num_router_requests.items(): + self.num_router_requests.inc(count, tags={"route": route}) + self._cached_num_router_requests.clear() + + self.num_queued_requests_gauge.set(self.num_queued_requests) + + self.num_running_requests_gauge.set( + sum(self.num_requests_sent_to_replicas.values()) + ) + + async def _report_cached_metrics_forever(self): + assert self._cached_metrics_interval_s > 0 + + consecutive_errors = 0 + while True: + try: + await asyncio.sleep(self._cached_metrics_interval_s) + self._report_cached_metrics() + consecutive_errors = 0 + except Exception: + logger.exception("Unexpected error reporting metrics.") + + # Exponential backoff starting at 1s and capping at 10s. + backoff_time_s = min(10, 2**consecutive_errors) + consecutive_errors += 1 + await asyncio.sleep(backoff_time_s) + def inc_num_total_requests(self, route: str): - self.num_router_requests.inc(tags={"route": route}) + if self._cached_metrics_enabled: + self._cached_num_router_requests[route] += 1 + else: + self.num_router_requests.inc(tags={"route": route}) def inc_num_queued_requests(self): self.num_queued_requests += 1 - self.num_queued_requests_gauge.set(self.num_queued_requests) + if not self._cached_metrics_enabled: + self.num_queued_requests_gauge.set(self.num_queued_requests) def dec_num_queued_requests(self): self.num_queued_requests -= 1 - self.num_queued_requests_gauge.set(self.num_queued_requests) + if not self._cached_metrics_enabled: + self.num_queued_requests_gauge.set(self.num_queued_requests) def inc_num_running_requests_for_replica(self, replica_id: ReplicaID): with self._queries_lock: self.num_requests_sent_to_replicas[replica_id] += 1 - self.num_running_requests_gauge.set( - sum(self.num_requests_sent_to_replicas.values()) - ) + if not self._cached_metrics_enabled: + self.num_running_requests_gauge.set( + sum(self.num_requests_sent_to_replicas.values()) + ) def dec_num_running_requests_for_replica(self, replica_id: ReplicaID): with self._queries_lock: self.num_requests_sent_to_replicas[replica_id] -= 1 - self.num_running_requests_gauge.set( - sum(self.num_requests_sent_to_replicas.values()) - ) + if not self._cached_metrics_enabled: + self.num_running_requests_gauge.set( + sum(self.num_requests_sent_to_replicas.values()) + ) def should_send_scaled_to_zero_optimized_push(self, curr_num_replicas: int) -> bool: return ( @@ -478,6 +523,7 @@ def __init__( ), tag_keys=("deployment", "application", "handle", "actor_id"), ), + event_loop, ) # The Router needs to stay informed about changes to the target deployment's diff --git a/python/ray/serve/tests/unit/test_router.py b/python/ray/serve/tests/unit/test_router.py index 6e8949b1e11b..5b849c965f78 100644 --- a/python/ray/serve/tests/unit/test_router.py +++ b/python/ray/serve/tests/unit/test_router.py @@ -22,7 +22,10 @@ RunningReplicaInfo, ) from ray.serve._private.config import DeploymentConfig -from ray.serve._private.constants import RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE +from ray.serve._private.constants import ( + RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, + RAY_SERVE_METRICS_EXPORT_INTERVAL_MS, +) from ray.serve._private.replica_result import ReplicaResult from ray.serve._private.request_router import ( PendingRequest, @@ -769,7 +772,8 @@ def running_replica_info(replica_id: ReplicaID) -> RunningReplicaInfo: class TestRouterMetricsManager: - def test_num_router_requests(self): + @pytest.mark.asyncio + async def test_num_router_requests(self): tags = { "deployment": "a", "application": "b", @@ -788,15 +792,19 @@ def test_num_router_requests(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) assert metrics_manager.num_router_requests.get_count(tags) is None n = random.randint(1, 10) for _ in range(n): metrics_manager.inc_num_total_requests(route="/alice") + + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) assert metrics_manager.num_router_requests.get_count(tags) == n - def test_num_queued_requests_gauge(self): + @pytest.mark.asyncio + async def test_num_queued_requests_gauge(self): tags = { "deployment": "a", "application": "b", @@ -814,18 +822,23 @@ def test_num_queued_requests_gauge(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) assert metrics_manager.num_queued_requests_gauge.get_value(tags) == 0 n, m = random.randint(0, 10), random.randint(0, 5) for _ in range(n): metrics_manager.inc_num_queued_requests() + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) assert metrics_manager.num_queued_requests_gauge.get_value(tags) == n for _ in range(m): metrics_manager.dec_num_queued_requests() + + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) assert metrics_manager.num_queued_requests_gauge.get_value(tags) == n - m - def test_track_requests_sent_to_replicas(self): + @pytest.mark.asyncio + async def test_track_requests_sent_to_replicas(self): d_id = DeploymentID(name="a", app_name="b") metrics_manager = RouterMetricsManager( d_id, @@ -838,6 +851,7 @@ def test_track_requests_sent_to_replicas(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) # r1: number requests -> 0, removed from list of running replicas -> prune @@ -854,6 +868,7 @@ def test_track_requests_sent_to_replicas(self): for i in range(4): for _ in range(i + 1): metrics_manager.inc_num_running_requests_for_replica(replica_ids[i]) + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) # All 4 replicas should have a positive number of requests for i, r in enumerate(replica_ids): @@ -875,6 +890,7 @@ def test_track_requests_sent_to_replicas(self): metrics_manager.dec_num_running_requests_for_replica(r1) for _ in range(2): metrics_manager.dec_num_running_requests_for_replica(r2) + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) assert metrics_manager.num_requests_sent_to_replicas[r1] == 0 assert metrics_manager.num_requests_sent_to_replicas[r2] == 0 @@ -898,6 +914,7 @@ def test_track_requests_sent_to_replicas(self): running_replica_info(r4), ] ) + await asyncio.sleep(RAY_SERVE_METRICS_EXPORT_INTERVAL_MS * 2 / 1000) # Only r1 should be pruned, the rest should still be tracked. assert r1 not in metrics_manager.num_requests_sent_to_replicas @@ -905,7 +922,8 @@ def test_track_requests_sent_to_replicas(self): assert r3 in metrics_manager.num_requests_sent_to_replicas assert r4 in metrics_manager.num_requests_sent_to_replicas - def test_should_send_scaled_to_zero_optimized_push(self): + @pytest.mark.asyncio + async def test_should_send_scaled_to_zero_optimized_push(self): metrics_manager = RouterMetricsManager( DeploymentID(name="a", app_name="b"), "random", @@ -917,6 +935,7 @@ def test_should_send_scaled_to_zero_optimized_push(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) # Not an autoscaling deployment, should not push metrics @@ -935,10 +954,11 @@ def test_should_send_scaled_to_zero_optimized_push(self): # All 3 conditions satisfied, should push metrics assert metrics_manager.should_send_scaled_to_zero_optimized_push(0) + @pytest.mark.asyncio @patch( "ray.serve._private.router.RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE", "1" ) - def test_push_autoscaling_metrics_to_controller(self): + async def test_push_autoscaling_metrics_to_controller(self): timer = MockTimer() start = random.randint(50, 100) timer.reset(start) @@ -965,6 +985,7 @@ def test_push_autoscaling_metrics_to_controller(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) metrics_manager._deployment_config = DeploymentConfig( autoscaling_config=AutoscalingConfig() @@ -1023,6 +1044,7 @@ async def test_memory_cleared(self): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) metrics_manager.update_deployment_config( deployment_config=DeploymentConfig( @@ -1065,11 +1087,12 @@ def check_database(expected: Set[ReplicaID]): check_database, expected={r1, r2, QUEUED_REQUESTS_KEY} ) + @pytest.mark.asyncio @patch( "ray.serve._private.router.RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE", "1" ) @patch("ray.serve._private.router.MetricsPusher") - def test_update_deployment_config(self, metrics_pusher_mock): + async def test_update_deployment_config(self, metrics_pusher_mock): metrics_manager = RouterMetricsManager( DeploymentID(name="a", app_name="b"), "random", @@ -1081,6 +1104,7 @@ def test_update_deployment_config(self, metrics_pusher_mock): ), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), FakeGauge(tag_keys=("deployment", "application", "handle", "actor_id")), + event_loop=asyncio.get_event_loop(), ) # Without autoscaling config, do nothing From 9bb85f87d59568a2cb03af65e8bbb1d8288c4615 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Wed, 27 Aug 2025 07:06:41 -0700 Subject: [PATCH 0889/1566] [serve] Add microbenchmark for throughput optimized configuration (#55900) ## Why are these changes needed? Adding a benchmark with the throughput optimized mode enabled. Also adding httpx to the release test dependencies. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../ray_release/byod/requirements_byod_3.9.in | 1 + .../byod/requirements_byod_3.9.txt | 23 ++++++++++++++ release/release_tests.yaml | 31 +++++++++++++++++++ 3 files changed, 55 insertions(+) diff --git a/release/ray_release/byod/requirements_byod_3.9.in b/release/ray_release/byod/requirements_byod_3.9.in index 248863c233c5..be42c3f1f682 100644 --- a/release/ray_release/byod/requirements_byod_3.9.in +++ b/release/ray_release/byod/requirements_byod_3.9.in @@ -11,6 +11,7 @@ gcsfs==2023.5.0 gsutil gymnasium gymnasium[atari] +httpx importlib-metadata jsonschema lightgbm diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index d74b06abc2d7..91b7f97daaad 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -167,6 +167,7 @@ anyio==3.7.1 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via # -c release/ray_release/byod/requirements_compiled.txt + # httpx # starlette argcomplete==3.3.0 \ --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ @@ -314,6 +315,8 @@ certifi==2025.1.31 \ # via # -c release/ray_release/byod/requirements_compiled.txt # geventhttpclient + # httpcore + # httpx # requests cffi==1.16.0 \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -1269,6 +1272,12 @@ gymnasium[atari]==1.1.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # httpcore h5py==3.10.0 \ --hash=sha256:012ab448590e3c4f5a8dd0f3533255bc57f80629bf7c5054cf4c87b30085063c \ --hash=sha256:212bb997a91e6a895ce5e2f365ba764debeaef5d2dca5c6fb7098d66607adf99 \ @@ -1298,6 +1307,12 @@ h5py==3.10.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow +httpcore==1.0.9 \ + --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ + --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # httpx httplib2==0.20.4 \ --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 @@ -1307,12 +1322,19 @@ httplib2==0.20.4 \ # google-apitools # gsutil # oauth2client +httpx==0.27.2 \ + --hash=sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0 \ + --hash=sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via # -c release/ray_release/byod/requirements_compiled.txt # anyio + # httpx # requests # yarl importlib-metadata==6.11.0 \ @@ -2723,6 +2745,7 @@ sniffio==1.3.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # anyio + # httpx starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 2c84db0f9c98..8cd1f1bee9e4 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2077,6 +2077,37 @@ cluster: cluster_compute: compute_tpl_single_node_gce.yaml +- name: serve_throughput_optimized_microbenchmarks + group: Serve tests + working_dir: serve_tests + + frequency: nightly + team: serve + + cluster: + byod: + runtime_env: + - RAY_SERVE_THROUGHPUT_OPTIMIZED=1 + - RAY_SERVE_DISABLE_SHUTTING_DOWN_INGRESS_REPLICAS_FORCEFULLY=0 + cluster_compute: compute_tpl_single_node_16_cpu.yaml + cloud_id: cld_wy5a6nhazplvu32526ams61d98 + project_id: prj_lhlrf1u5yv8qz9qg3xzw8fkiiq + + run: + timeout: 7200 + long_running: false + script: python workloads/microbenchmarks.py --run-all + + alert: default + + variations: + - __suffix__: aws + - __suffix__: gce + env: gce + frequency: manual + cluster: + cluster_compute: compute_tpl_single_node_gce.yaml + - name: serve_resnet_benchmark group: Serve tests working_dir: serve_tests From 6d88e6f65cbdfd5e3090d43b431e679abbc8531a Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 27 Aug 2025 11:54:15 -0500 Subject: [PATCH 0890/1566] [core] Split `GcsActor` class into its own file (#55997) Breaks the circular dependency between `gcs_actor_manager.h` and `gcs_actor_scheduler.h` --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 21 ++ src/ray/gcs/gcs_server/gcs_actor.cc | 143 +++++++++ src/ray/gcs/gcs_server/gcs_actor.h | 276 ++++++++++++++++++ src/ray/gcs/gcs_server/gcs_actor_manager.cc | 117 -------- src/ray/gcs/gcs_server/gcs_actor_manager.h | 245 +--------------- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 1 - src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 3 +- 7 files changed, 442 insertions(+), 364 deletions(-) create mode 100644 src/ray/gcs/gcs_server/gcs_actor.cc create mode 100644 src/ray/gcs/gcs_server/gcs_actor.h diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 7c9a8109e48f..bc0a46a00635 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -254,6 +254,26 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_actor", + srcs = [ + "gcs_actor.cc", + ], + hdrs = [ + "gcs_actor.h", + ], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/protobuf:export_event_cc_proto", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/util:counter_map", + "//src/ray/util:event", + "//src/ray/util:logging", + ], +) + ray_cc_library( name = "gcs_server_lib", srcs = [ @@ -275,6 +295,7 @@ ray_cc_library( "gcs_server.h", ], deps = [ + ":gcs_actor", ":gcs_function_manager", ":gcs_health_check_manager", ":gcs_init_data", diff --git a/src/ray/gcs/gcs_server/gcs_actor.cc b/src/ray/gcs/gcs_server/gcs_actor.cc new file mode 100644 index 000000000000..0c4c44bbdc54 --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_actor.cc @@ -0,0 +1,143 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/gcs/gcs_server/gcs_actor.h" + +#include +#include + +#include "ray/util/logging.h" + +namespace ray { +namespace gcs { + +NodeID GcsActor::GetNodeID() const { + const auto &node_id_binary = actor_table_data_.address().node_id(); + if (node_id_binary.empty()) { + return NodeID::Nil(); + } + return NodeID::FromBinary(node_id_binary); +} + +void GcsActor::UpdateAddress(const rpc::Address &address) { + actor_table_data_.mutable_address()->CopyFrom(address); +} + +const rpc::Address &GcsActor::GetAddress() const { return actor_table_data_.address(); } + +WorkerID GcsActor::GetWorkerID() const { + const auto &address = actor_table_data_.address(); + if (address.worker_id().empty()) { + return WorkerID::Nil(); + } + return WorkerID::FromBinary(address.worker_id()); +} + +WorkerID GcsActor::GetOwnerID() const { + return WorkerID::FromBinary(GetOwnerAddress().worker_id()); +} + +NodeID GcsActor::GetOwnerNodeID() const { + return NodeID::FromBinary(GetOwnerAddress().node_id()); +} + +const rpc::Address &GcsActor::GetOwnerAddress() const { + return actor_table_data_.owner_address(); +} + +void GcsActor::UpdateState(rpc::ActorTableData::ActorState state) { + actor_table_data_.set_state(state); + RefreshMetrics(); +} + +rpc::ActorTableData::ActorState GcsActor::GetState() const { + return actor_table_data_.state(); +} + +ActorID GcsActor::GetActorID() const { + return ActorID::FromBinary(actor_table_data_.actor_id()); +} + +bool GcsActor::IsDetached() const { return actor_table_data_.is_detached(); } + +std::string GcsActor::GetName() const { return actor_table_data_.name(); } + +std::string GcsActor::GetRayNamespace() const { + return actor_table_data_.ray_namespace(); +} + +TaskSpecification GcsActor::GetCreationTaskSpecification() const { + // The task spec is not available when the actor is dead. + RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); + return TaskSpecification(*task_spec_); +} + +const rpc::ActorTableData &GcsActor::GetActorTableData() const { + return actor_table_data_; +} + +rpc::ActorTableData *GcsActor::GetMutableActorTableData() { return &actor_table_data_; } + +void GcsActor::WriteActorExportEvent() const { + /// Verify actor export events should be written to file + /// and then write actor_table_data_ as an export event. + if (!export_event_write_enabled_) { + return; + } + std::shared_ptr export_actor_data_ptr = + std::make_shared(); + + export_actor_data_ptr->set_actor_id(actor_table_data_.actor_id()); + export_actor_data_ptr->set_job_id(actor_table_data_.job_id()); + export_actor_data_ptr->set_state(ConvertActorStateToExport(actor_table_data_.state())); + export_actor_data_ptr->set_is_detached(actor_table_data_.is_detached()); + export_actor_data_ptr->set_name(actor_table_data_.name()); + export_actor_data_ptr->set_pid(actor_table_data_.pid()); + export_actor_data_ptr->set_ray_namespace(actor_table_data_.ray_namespace()); + export_actor_data_ptr->set_serialized_runtime_env( + actor_table_data_.serialized_runtime_env()); + export_actor_data_ptr->set_class_name(actor_table_data_.class_name()); + export_actor_data_ptr->mutable_death_cause()->CopyFrom(actor_table_data_.death_cause()); + export_actor_data_ptr->mutable_required_resources()->insert( + actor_table_data_.required_resources().begin(), + actor_table_data_.required_resources().end()); + export_actor_data_ptr->set_node_id(actor_table_data_.node_id()); + export_actor_data_ptr->set_placement_group_id(actor_table_data_.placement_group_id()); + export_actor_data_ptr->set_repr_name(actor_table_data_.repr_name()); + export_actor_data_ptr->mutable_labels()->insert(task_spec_.get()->labels().begin(), + task_spec_.get()->labels().end()); + export_actor_data_ptr->mutable_label_selector()->insert( + actor_table_data_.label_selector().begin(), + actor_table_data_.label_selector().end()); + + RayExportEvent(export_actor_data_ptr).SendEvent(); +} + +rpc::TaskSpec *GcsActor::GetMutableTaskSpec() { return task_spec_.get(); } + +const ResourceRequest &GcsActor::GetAcquiredResources() const { + return acquired_resources_; +} +void GcsActor::SetAcquiredResources(ResourceRequest &&resource_request) { + acquired_resources_ = std::move(resource_request); +} + +bool GcsActor::GetGrantOrReject() const { return grant_or_reject_; } + +void GcsActor::SetGrantOrReject(bool grant_or_reject) { + grant_or_reject_ = grant_or_reject; +} + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_actor.h b/src/ray/gcs/gcs_server/gcs_actor.h new file mode 100644 index 000000000000..b9aa9bea5019 --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_actor.h @@ -0,0 +1,276 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include + +#include "ray/common/id.h" +#include "ray/common/scheduling/cluster_resource_data.h" +#include "ray/common/task/task_spec.h" +#include "ray/util/counter_map.h" +#include "ray/util/event.h" +#include "src/ray/protobuf/core_worker.pb.h" +#include "src/ray/protobuf/export_actor_data.pb.h" +#include "src/ray/protobuf/gcs_service.pb.h" + +namespace ray { +namespace gcs { + +/// GcsActor just wraps `ActorTableData` and provides some convenient interfaces to access +/// the fields inside `ActorTableData`. +/// This class is not thread-safe. +class GcsActor { + public: + /// Create a GcsActor by actor_table_data. + /// + /// \param actor_table_data Data of the actor (see gcs.proto). + /// \param counter The counter to report metrics to. + explicit GcsActor( + rpc::ActorTableData actor_table_data, + std::shared_ptr>> + counter) + : actor_table_data_(std::move(actor_table_data)), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { + RefreshMetrics(); + } + + /// Create a GcsActor by actor_table_data and task_spec. + /// This is only for ALIVE actors. + /// + /// \param actor_table_data Data of the actor (see gcs.proto). + /// \param task_spec Task spec of the actor. + /// \param counter The counter to report metrics to. + explicit GcsActor( + rpc::ActorTableData actor_table_data, + rpc::TaskSpec task_spec, + std::shared_ptr>> + counter) + : actor_table_data_(std::move(actor_table_data)), + task_spec_(std::make_unique(std::move(task_spec))), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { + RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); + RefreshMetrics(); + } + + /// Create a GcsActor by TaskSpec. + /// + /// \param task_spec Contains the actor creation task specification. + /// \param ray_namespace Namespace of the actor. + /// \param counter The counter to report metrics to. + explicit GcsActor( + rpc::TaskSpec task_spec, + std::string ray_namespace, + std::shared_ptr>> + counter) + : task_spec_(std::make_unique(std::move(task_spec))), + counter_(std::move(counter)), + export_event_write_enabled_(IsExportAPIEnabledActor()) { + RAY_CHECK(task_spec_->type() == TaskType::ACTOR_CREATION_TASK); + const auto &actor_creation_task_spec = task_spec_->actor_creation_task_spec(); + actor_table_data_.set_actor_id(actor_creation_task_spec.actor_id()); + actor_table_data_.set_job_id(task_spec_->job_id()); + actor_table_data_.set_max_restarts(actor_creation_task_spec.max_actor_restarts()); + actor_table_data_.set_num_restarts(0); + actor_table_data_.set_num_restarts_due_to_lineage_reconstruction(0); + + actor_table_data_.mutable_function_descriptor()->CopyFrom( + task_spec_->function_descriptor()); + + actor_table_data_.set_is_detached(actor_creation_task_spec.is_detached()); + actor_table_data_.set_name(actor_creation_task_spec.name()); + actor_table_data_.mutable_owner_address()->CopyFrom(task_spec_->caller_address()); + + actor_table_data_.set_state(rpc::ActorTableData::DEPENDENCIES_UNREADY); + + actor_table_data_.mutable_address()->set_node_id(NodeID::Nil().Binary()); + actor_table_data_.mutable_address()->set_worker_id(WorkerID::Nil().Binary()); + + actor_table_data_.set_ray_namespace(ray_namespace); + if (task_spec_->scheduling_strategy().scheduling_strategy_case() == + rpc::SchedulingStrategy::SchedulingStrategyCase:: + kPlacementGroupSchedulingStrategy) { + actor_table_data_.set_placement_group_id(task_spec_->scheduling_strategy() + .placement_group_scheduling_strategy() + .placement_group_id()); + } + + // Set required resources. + auto resource_map = + GetCreationTaskSpecification().GetRequiredResources().GetResourceMap(); + actor_table_data_.mutable_required_resources()->insert(resource_map.begin(), + resource_map.end()); + + const auto &function_descriptor = task_spec_->function_descriptor(); + switch (function_descriptor.function_descriptor_case()) { + case rpc::FunctionDescriptor::FunctionDescriptorCase::kJavaFunctionDescriptor: + actor_table_data_.set_class_name( + function_descriptor.java_function_descriptor().class_name()); + break; + case rpc::FunctionDescriptor::FunctionDescriptorCase::kPythonFunctionDescriptor: + actor_table_data_.set_class_name( + function_descriptor.python_function_descriptor().class_name()); + break; + default: + // TODO(Alex): Handle the C++ case, which we currently don't have an + // easy equivalent to class_name for. + break; + } + + actor_table_data_.set_serialized_runtime_env( + task_spec_->runtime_env_info().serialized_runtime_env()); + if (task_spec_->call_site().size() > 0) { + actor_table_data_.set_call_site(task_spec_->call_site()); + } + if (task_spec_->label_selector().size() > 0) { + actor_table_data_.mutable_label_selector()->insert( + task_spec_->label_selector().begin(), task_spec_->label_selector().end()); + } + RefreshMetrics(); + } + + ~GcsActor() { + // We don't decrement the value when it becomes DEAD because we don't want to + // lose the # of dead actors count when this class is GC'ed. + if (last_metric_state_ && last_metric_state_.value() != rpc::ActorTableData::DEAD) { + RAY_LOG(DEBUG) << "Decrementing state at " + << rpc::ActorTableData::ActorState_Name(last_metric_state_.value()) + << " " << GetActorTableData().class_name(); + counter_->Decrement( + std::make_pair(last_metric_state_.value(), GetActorTableData().class_name())); + } + } + + /// Get the node id on which this actor is created. + NodeID GetNodeID() const; + /// Get the id of the worker on which this actor is created. + WorkerID GetWorkerID() const; + /// Get the actor's owner ID. + WorkerID GetOwnerID() const; + /// Get the node ID of the actor's owner. + NodeID GetOwnerNodeID() const; + /// Get the address of the actor's owner. + const rpc::Address &GetOwnerAddress() const; + + /// Update the `Address` of this actor (see gcs.proto). + void UpdateAddress(const rpc::Address &address); + /// Get the `Address` of this actor. + const rpc::Address &GetAddress() const; + + /// Update the state of this actor and refreshes metrics. Do not update the + /// state of the underlying proto directly via set_state(), otherwise metrics + /// will get out of sync. + void UpdateState(rpc::ActorTableData::ActorState state); + /// Get the state of this gcs actor. + rpc::ActorTableData::ActorState GetState() const; + + /// Get the id of this actor. + ActorID GetActorID() const; + /// Returns whether or not this is a detached actor. + bool IsDetached() const; + /// Get the name of this actor. + std::string GetName() const; + /// Get the namespace of this actor. + std::string GetRayNamespace() const; + /// Get the task specification of this actor. + TaskSpecification GetCreationTaskSpecification() const; + + /// Get the immutable ActorTableData of this actor. + const rpc::ActorTableData &GetActorTableData() const; + /// Get the mutable ActorTableData of this actor. + rpc::ActorTableData *GetMutableActorTableData(); + rpc::TaskSpec *GetMutableTaskSpec(); + /// Write an event containing this actor's ActorTableData + /// to file for the Export API. + void WriteActorExportEvent() const; + // Verify if export events should be written for EXPORT_ACTOR source types + bool IsExportAPIEnabledActor() const { + return IsExportAPIEnabledSourceType( + "EXPORT_ACTOR", + RayConfig::instance().enable_export_api_write(), + RayConfig::instance().enable_export_api_write_config()); + } + + const ResourceRequest &GetAcquiredResources() const; + void SetAcquiredResources(ResourceRequest &&resource_request); + bool GetGrantOrReject() const; + void SetGrantOrReject(bool grant_or_reject); + + private: + void RefreshMetrics() { + auto cur_state = GetState(); + if (last_metric_state_) { + RAY_LOG(DEBUG) << "Swapping state from " + << rpc::ActorTableData::ActorState_Name(last_metric_state_.value()) + << " to " << rpc::ActorTableData::ActorState_Name(cur_state) + << " for : " << GetActorID(); + counter_->Swap( + std::make_pair(last_metric_state_.value(), GetActorTableData().class_name()), + std::make_pair(cur_state, GetActorTableData().class_name())); + } else { + RAY_LOG(DEBUG) << "Incrementing state at " + << rpc::ActorTableData::ActorState_Name(cur_state) << " " + << GetActorTableData().class_name(); + counter_->Increment(std::make_pair(cur_state, GetActorTableData().class_name())); + } + last_metric_state_ = cur_state; + } + + rpc::ExportActorData::ActorState ConvertActorStateToExport( + rpc::ActorTableData::ActorState actor_state) const { + switch (actor_state) { + case rpc::ActorTableData::DEPENDENCIES_UNREADY: + return rpc::ExportActorData::DEPENDENCIES_UNREADY; + case rpc::ActorTableData::PENDING_CREATION: + return rpc::ExportActorData::PENDING_CREATION; + case rpc::ActorTableData::ALIVE: + return rpc::ExportActorData::ALIVE; + case rpc::ActorTableData::RESTARTING: + return rpc::ExportActorData::RESTARTING; + case rpc::ActorTableData::DEAD: + return rpc::ExportActorData::DEAD; + default: + // Unknown rpc::ActorTableData::ActorState value + RAY_LOG(FATAL) << "Invalid value for rpc::ActorTableData::ActorState" + << rpc::ActorTableData::ActorState_Name(actor_state); + return rpc::ExportActorData::DEAD; + } + } + + /// The actor meta data which contains the task specification as well as the state of + /// the gcs actor and so on (see gcs.proto). + rpc::ActorTableData actor_table_data_; + const std::unique_ptr task_spec_; + /// Resources acquired by this actor. + ResourceRequest acquired_resources_; + /// Reference to the counter to use for actor state metrics tracking. + std::shared_ptr>> + counter_; + /// Whether the actor's target node only grants or rejects the lease request. + bool grant_or_reject_ = false; + /// The last recorded metric state. + std::optional last_metric_state_; + /// If true, actor events are exported for Export API + bool export_event_write_enabled_ = false; +}; + +using RestartActorForLineageReconstructionCallback = + std::function)>; +using CreateActorCallback = std::function, const rpc::PushTaskReply &reply, const Status &status)>; + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 626631f91dc1..399dacf8b5b6 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -180,122 +180,6 @@ bool is_uuid(const std::string &str) { return regex_match(str, e); // note: case sensitive now } -NodeID GcsActor::GetNodeID() const { - const auto &node_id_binary = actor_table_data_.address().node_id(); - if (node_id_binary.empty()) { - return NodeID::Nil(); - } - return NodeID::FromBinary(node_id_binary); -} - -void GcsActor::UpdateAddress(const rpc::Address &address) { - actor_table_data_.mutable_address()->CopyFrom(address); -} - -const rpc::Address &GcsActor::GetAddress() const { return actor_table_data_.address(); } - -WorkerID GcsActor::GetWorkerID() const { - const auto &address = actor_table_data_.address(); - if (address.worker_id().empty()) { - return WorkerID::Nil(); - } - return WorkerID::FromBinary(address.worker_id()); -} - -WorkerID GcsActor::GetOwnerID() const { - return WorkerID::FromBinary(GetOwnerAddress().worker_id()); -} - -NodeID GcsActor::GetOwnerNodeID() const { - return NodeID::FromBinary(GetOwnerAddress().node_id()); -} - -const rpc::Address &GcsActor::GetOwnerAddress() const { - return actor_table_data_.owner_address(); -} - -void GcsActor::UpdateState(rpc::ActorTableData::ActorState state) { - actor_table_data_.set_state(state); - RefreshMetrics(); -} - -rpc::ActorTableData::ActorState GcsActor::GetState() const { - return actor_table_data_.state(); -} - -ActorID GcsActor::GetActorID() const { - return ActorID::FromBinary(actor_table_data_.actor_id()); -} - -bool GcsActor::IsDetached() const { return actor_table_data_.is_detached(); } - -std::string GcsActor::GetName() const { return actor_table_data_.name(); } - -std::string GcsActor::GetRayNamespace() const { - return actor_table_data_.ray_namespace(); -} - -TaskSpecification GcsActor::GetCreationTaskSpecification() const { - // The task spec is not available when the actor is dead. - RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); - return TaskSpecification(*task_spec_); -} - -const rpc::ActorTableData &GcsActor::GetActorTableData() const { - return actor_table_data_; -} - -rpc::ActorTableData *GcsActor::GetMutableActorTableData() { return &actor_table_data_; } - -void GcsActor::WriteActorExportEvent() const { - /// Verify actor export events should be written to file - /// and then write actor_table_data_ as an export event. - if (!export_event_write_enabled_) { - return; - } - std::shared_ptr export_actor_data_ptr = - std::make_shared(); - - export_actor_data_ptr->set_actor_id(actor_table_data_.actor_id()); - export_actor_data_ptr->set_job_id(actor_table_data_.job_id()); - export_actor_data_ptr->set_state(ConvertActorStateToExport(actor_table_data_.state())); - export_actor_data_ptr->set_is_detached(actor_table_data_.is_detached()); - export_actor_data_ptr->set_name(actor_table_data_.name()); - export_actor_data_ptr->set_pid(actor_table_data_.pid()); - export_actor_data_ptr->set_ray_namespace(actor_table_data_.ray_namespace()); - export_actor_data_ptr->set_serialized_runtime_env( - actor_table_data_.serialized_runtime_env()); - export_actor_data_ptr->set_class_name(actor_table_data_.class_name()); - export_actor_data_ptr->mutable_death_cause()->CopyFrom(actor_table_data_.death_cause()); - export_actor_data_ptr->mutable_required_resources()->insert( - actor_table_data_.required_resources().begin(), - actor_table_data_.required_resources().end()); - export_actor_data_ptr->set_node_id(actor_table_data_.node_id()); - export_actor_data_ptr->set_placement_group_id(actor_table_data_.placement_group_id()); - export_actor_data_ptr->set_repr_name(actor_table_data_.repr_name()); - export_actor_data_ptr->mutable_labels()->insert(task_spec_.get()->labels().begin(), - task_spec_.get()->labels().end()); - export_actor_data_ptr->mutable_label_selector()->insert( - actor_table_data_.label_selector().begin(), - actor_table_data_.label_selector().end()); - - RayExportEvent(export_actor_data_ptr).SendEvent(); -} - -rpc::TaskSpec *GcsActor::GetMutableTaskSpec() { return task_spec_.get(); } - -const ResourceRequest &GcsActor::GetAcquiredResources() const { - return acquired_resources_; -} -void GcsActor::SetAcquiredResources(ResourceRequest &&resource_request) { - acquired_resources_ = std::move(resource_request); -} - -bool GcsActor::GetGrantOrReject() const { return grant_or_reject_; } -void GcsActor::SetGrantOrReject(bool grant_or_reject) { - grant_or_reject_ = grant_or_reject; -} - const ray::rpc::ActorDeathCause GcsActorManager::GenNodeDiedCause( const ray::gcs::GcsActor *actor, std::shared_ptr node) { ray::rpc::ActorDeathCause death_cause; @@ -332,7 +216,6 @@ const ray::rpc::ActorDeathCause GcsActorManager::GenNodeDiedCause( return death_cause; } -///////////////////////////////////////////////////////////////////////////////////////// GcsActorManager::GcsActorManager( std::unique_ptr scheduler, GcsTableStorage *gcs_table_storage, diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 69a06df1f6cc..5fd24a07995d 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -25,6 +25,7 @@ #include "ray/common/id.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/task/task_spec.h" +#include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/gcs_server/gcs_init_data.h" @@ -41,250 +42,6 @@ namespace ray { namespace gcs { -/// GcsActor just wraps `ActorTableData` and provides some convenient interfaces to access -/// the fields inside `ActorTableData`. -/// This class is not thread-safe. -class GcsActor { - public: - /// Create a GcsActor by actor_table_data. - /// - /// \param actor_table_data Data of the actor (see gcs.proto). - /// \param counter The counter to report metrics to. - explicit GcsActor( - rpc::ActorTableData actor_table_data, - std::shared_ptr>> - counter) - : actor_table_data_(std::move(actor_table_data)), - counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { - RefreshMetrics(); - } - - /// Create a GcsActor by actor_table_data and task_spec. - /// This is only for ALIVE actors. - /// - /// \param actor_table_data Data of the actor (see gcs.proto). - /// \param task_spec Task spec of the actor. - /// \param counter The counter to report metrics to. - explicit GcsActor( - rpc::ActorTableData actor_table_data, - rpc::TaskSpec task_spec, - std::shared_ptr>> - counter) - : actor_table_data_(std::move(actor_table_data)), - task_spec_(std::make_unique(std::move(task_spec))), - counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { - RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); - RefreshMetrics(); - } - - /// Create a GcsActor by TaskSpec. - /// - /// \param task_spec Contains the actor creation task specification. - /// \param ray_namespace Namespace of the actor. - /// \param counter The counter to report metrics to. - explicit GcsActor( - rpc::TaskSpec task_spec, - std::string ray_namespace, - std::shared_ptr>> - counter) - : task_spec_(std::make_unique(std::move(task_spec))), - counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { - RAY_CHECK(task_spec_->type() == TaskType::ACTOR_CREATION_TASK); - const auto &actor_creation_task_spec = task_spec_->actor_creation_task_spec(); - actor_table_data_.set_actor_id(actor_creation_task_spec.actor_id()); - actor_table_data_.set_job_id(task_spec_->job_id()); - actor_table_data_.set_max_restarts(actor_creation_task_spec.max_actor_restarts()); - actor_table_data_.set_num_restarts(0); - actor_table_data_.set_num_restarts_due_to_lineage_reconstruction(0); - - actor_table_data_.mutable_function_descriptor()->CopyFrom( - task_spec_->function_descriptor()); - - actor_table_data_.set_is_detached(actor_creation_task_spec.is_detached()); - actor_table_data_.set_name(actor_creation_task_spec.name()); - actor_table_data_.mutable_owner_address()->CopyFrom(task_spec_->caller_address()); - - actor_table_data_.set_state(rpc::ActorTableData::DEPENDENCIES_UNREADY); - - actor_table_data_.mutable_address()->set_node_id(NodeID::Nil().Binary()); - actor_table_data_.mutable_address()->set_worker_id(WorkerID::Nil().Binary()); - - actor_table_data_.set_ray_namespace(ray_namespace); - if (task_spec_->scheduling_strategy().scheduling_strategy_case() == - rpc::SchedulingStrategy::SchedulingStrategyCase:: - kPlacementGroupSchedulingStrategy) { - actor_table_data_.set_placement_group_id(task_spec_->scheduling_strategy() - .placement_group_scheduling_strategy() - .placement_group_id()); - } - - // Set required resources. - auto resource_map = - GetCreationTaskSpecification().GetRequiredResources().GetResourceMap(); - actor_table_data_.mutable_required_resources()->insert(resource_map.begin(), - resource_map.end()); - - const auto &function_descriptor = task_spec_->function_descriptor(); - switch (function_descriptor.function_descriptor_case()) { - case rpc::FunctionDescriptor::FunctionDescriptorCase::kJavaFunctionDescriptor: - actor_table_data_.set_class_name( - function_descriptor.java_function_descriptor().class_name()); - break; - case rpc::FunctionDescriptor::FunctionDescriptorCase::kPythonFunctionDescriptor: - actor_table_data_.set_class_name( - function_descriptor.python_function_descriptor().class_name()); - break; - default: - // TODO(Alex): Handle the C++ case, which we currently don't have an - // easy equivalent to class_name for. - break; - } - - actor_table_data_.set_serialized_runtime_env( - task_spec_->runtime_env_info().serialized_runtime_env()); - if (task_spec_->call_site().size() > 0) { - actor_table_data_.set_call_site(task_spec_->call_site()); - } - if (task_spec_->label_selector().size() > 0) { - actor_table_data_.mutable_label_selector()->insert( - task_spec_->label_selector().begin(), task_spec_->label_selector().end()); - } - RefreshMetrics(); - } - - ~GcsActor() { - // We don't decrement the value when it becomes DEAD because we don't want to - // lose the # of dead actors count when this class is GC'ed. - if (last_metric_state_ && last_metric_state_.value() != rpc::ActorTableData::DEAD) { - RAY_LOG(DEBUG) << "Decrementing state at " - << rpc::ActorTableData::ActorState_Name(last_metric_state_.value()) - << " " << GetActorTableData().class_name(); - counter_->Decrement( - std::make_pair(last_metric_state_.value(), GetActorTableData().class_name())); - } - } - - /// Get the node id on which this actor is created. - NodeID GetNodeID() const; - /// Get the id of the worker on which this actor is created. - WorkerID GetWorkerID() const; - /// Get the actor's owner ID. - WorkerID GetOwnerID() const; - /// Get the node ID of the actor's owner. - NodeID GetOwnerNodeID() const; - /// Get the address of the actor's owner. - const rpc::Address &GetOwnerAddress() const; - - /// Update the `Address` of this actor (see gcs.proto). - void UpdateAddress(const rpc::Address &address); - /// Get the `Address` of this actor. - const rpc::Address &GetAddress() const; - - /// Update the state of this actor and refreshes metrics. Do not update the - /// state of the underlying proto directly via set_state(), otherwise metrics - /// will get out of sync. - void UpdateState(rpc::ActorTableData::ActorState state); - /// Get the state of this gcs actor. - rpc::ActorTableData::ActorState GetState() const; - - /// Get the id of this actor. - ActorID GetActorID() const; - /// Returns whether or not this is a detached actor. - bool IsDetached() const; - /// Get the name of this actor. - std::string GetName() const; - /// Get the namespace of this actor. - std::string GetRayNamespace() const; - /// Get the task specification of this actor. - TaskSpecification GetCreationTaskSpecification() const; - - /// Get the immutable ActorTableData of this actor. - const rpc::ActorTableData &GetActorTableData() const; - /// Get the mutable ActorTableData of this actor. - rpc::ActorTableData *GetMutableActorTableData(); - rpc::TaskSpec *GetMutableTaskSpec(); - /// Write an event containing this actor's ActorTableData - /// to file for the Export API. - void WriteActorExportEvent() const; - // Verify if export events should be written for EXPORT_ACTOR source types - bool IsExportAPIEnabledActor() const { - return IsExportAPIEnabledSourceType( - "EXPORT_ACTOR", - RayConfig::instance().enable_export_api_write(), - RayConfig::instance().enable_export_api_write_config()); - } - - const ResourceRequest &GetAcquiredResources() const; - void SetAcquiredResources(ResourceRequest &&resource_request); - bool GetGrantOrReject() const; - void SetGrantOrReject(bool grant_or_reject); - - private: - void RefreshMetrics() { - auto cur_state = GetState(); - if (last_metric_state_) { - RAY_LOG(DEBUG) << "Swapping state from " - << rpc::ActorTableData::ActorState_Name(last_metric_state_.value()) - << " to " << rpc::ActorTableData::ActorState_Name(cur_state) - << " for : " << GetActorID(); - counter_->Swap( - std::make_pair(last_metric_state_.value(), GetActorTableData().class_name()), - std::make_pair(cur_state, GetActorTableData().class_name())); - } else { - RAY_LOG(DEBUG) << "Incrementing state at " - << rpc::ActorTableData::ActorState_Name(cur_state) << " " - << GetActorTableData().class_name(); - counter_->Increment(std::make_pair(cur_state, GetActorTableData().class_name())); - } - last_metric_state_ = cur_state; - } - - rpc::ExportActorData::ActorState ConvertActorStateToExport( - rpc::ActorTableData::ActorState actor_state) const { - switch (actor_state) { - case rpc::ActorTableData::DEPENDENCIES_UNREADY: - return rpc::ExportActorData::DEPENDENCIES_UNREADY; - case rpc::ActorTableData::PENDING_CREATION: - return rpc::ExportActorData::PENDING_CREATION; - case rpc::ActorTableData::ALIVE: - return rpc::ExportActorData::ALIVE; - case rpc::ActorTableData::RESTARTING: - return rpc::ExportActorData::RESTARTING; - case rpc::ActorTableData::DEAD: - return rpc::ExportActorData::DEAD; - default: - // Unknown rpc::ActorTableData::ActorState value - RAY_LOG(FATAL) << "Invalid value for rpc::ActorTableData::ActorState" - << rpc::ActorTableData::ActorState_Name(actor_state); - return rpc::ExportActorData::DEAD; - } - } - - /// The actor meta data which contains the task specification as well as the state of - /// the gcs actor and so on (see gcs.proto). - rpc::ActorTableData actor_table_data_; - const std::unique_ptr task_spec_; - /// Resources acquired by this actor. - ResourceRequest acquired_resources_; - /// Reference to the counter to use for actor state metrics tracking. - std::shared_ptr>> - counter_; - /// Whether the actor's target node only grants or rejects the lease request. - bool grant_or_reject_ = false; - /// The last recorded metric state. - std::optional last_metric_state_; - /// If true, actor events are exported for Export API - bool export_event_write_enabled_ = false; -}; - -using RestartActorForLineageReconstructionCallback = - std::function)>; -using CreateActorCallback = std::function, const rpc::PushTaskReply &reply, const Status &status)>; - /// GcsActorManager is responsible for managing the lifecycle of all actors. /// This class is not thread-safe. /// Actor State Transition Diagram: diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index 746de6923558..a970061bd243 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -22,7 +22,6 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/util/time.h" #include "src/ray/protobuf/node_manager.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index b3a3c708debc..218bf9f3b035 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -27,6 +27,7 @@ #include "ray/common/id.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/task/task_spec.h" +#include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_task_manager.h" @@ -41,8 +42,6 @@ namespace ray { using raylet::ClusterTaskManager; namespace gcs { -class GcsActor; - using GcsActorSchedulerFailureCallback = std::function, rpc::RequestWorkerLeaseReply::SchedulingFailureType, From 9527b920ce6f53763aa17d83c02ac37e0c550785 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 27 Aug 2025 12:49:55 -0500 Subject: [PATCH 0891/1566] [core] Remove `gcs_rpc_server.h` dependency from `InternalKVManager` (#55999) Splitting gRPC service interface from implementation. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 4 +- src/ray/gcs/gcs_server/gcs_function_manager.h | 1 + src/ray/gcs/gcs_server/gcs_kv_manager.h | 5 +- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 1 + .../gcs/gcs_server/grpc_service_interfaces.h | 32 ++++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 16 +++++ src/ray/gcs/gcs_server/grpc_services.h | 23 +++++++ src/ray/gcs/gcs_server/tests/BUILD.bazel | 2 +- .../tests/gcs_function_manager_test.cc | 6 +- src/ray/rpc/gcs/gcs_rpc_server.h | 62 ------------------- 11 files changed, 85 insertions(+), 71 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index bc0a46a00635..bcf7cafe32e7 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -47,8 +47,8 @@ ray_cc_library( deps = [ "//src/ray/common:asio", "//src/ray/common:status", + "//src/ray/gcs/gcs_server:grpc_service_interfaces", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/rpc:gcs_server", ], ) @@ -59,6 +59,7 @@ ray_cc_library( ":gcs_kv_manager", "//src/ray/common:asio", "//src/ray/common:constants", + "//src/ray/common:id", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -180,6 +181,7 @@ ray_cc_library( "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/rpc:gcs_server", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/gcs/gcs_server/gcs_function_manager.h b/src/ray/gcs/gcs_server/gcs_function_manager.h index 10eac00744e3..27380c052e83 100644 --- a/src/ray/gcs/gcs_server/gcs_function_manager.h +++ b/src/ray/gcs/gcs_server/gcs_function_manager.h @@ -17,6 +17,7 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/constants.h" +#include "ray/common/id.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_kv_manager.h b/src/ray/gcs/gcs_server/gcs_kv_manager.h index eb1ca3b302f7..bacbf74a8768 100644 --- a/src/ray/gcs/gcs_server/gcs_kv_manager.h +++ b/src/ray/gcs/gcs_server/gcs_kv_manager.h @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/postable.h" #include "ray/common/status.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" namespace ray { namespace gcs { @@ -100,8 +100,7 @@ class InternalKVInterface { virtual ~InternalKVInterface() = default; }; -/// This implementation class of `InternalKVHandler`. -class GcsInternalKVManager : public rpc::InternalKVHandler { +class GcsInternalKVManager : public rpc::InternalKVGcsServiceHandler { public: explicit GcsInternalKVManager(std::unique_ptr kv_instance, std::string raylet_config_list, diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 00ce1088abe0..f38223c44afb 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -613,7 +613,9 @@ void GcsServer::InitKVService() { RAY_CHECK(kv_manager_); rpc_server_.RegisterService( std::make_unique( - io_context_provider_.GetIOContext(), *kv_manager_), + io_context_provider_.GetIOContext(), + *kv_manager_, + /*max_active_rpcs_per_handler_=*/-1), false /* token_auth */); } diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index 89ca5c8b611c..a98d30c0f036 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -26,6 +26,7 @@ #include "absl/synchronization/mutex.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pb_util.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 743017f20ed0..4721344af4ae 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -153,5 +153,37 @@ class WorkerInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class InternalKVGcsServiceHandler { + public: + virtual ~InternalKVGcsServiceHandler() = default; + virtual void HandleInternalKVKeys(InternalKVKeysRequest request, + InternalKVKeysReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleInternalKVGet(InternalKVGetRequest request, + InternalKVGetReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleInternalKVMultiGet(InternalKVMultiGetRequest request, + InternalKVMultiGetReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleInternalKVPut(InternalKVPutRequest request, + InternalKVPutReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleInternalKVDel(InternalKVDelRequest request, + InternalKVDelReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleInternalKVExists(InternalKVExistsRequest request, + InternalKVExistsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetInternalConfig(GetInternalConfigRequest request, + GetInternalConfigReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 6ac013f7502a..897cf18e234c 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -84,5 +84,21 @@ void WorkerInfoGrpcService::InitServerCallFactories( WorkerInfoGcsService, UpdateWorkerNumPausedThreads, max_active_rpcs_per_handler_) } +void InternalKVGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(InternalKVGcsService, InternalKVGet, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + InternalKVGcsService, InternalKVMultiGet, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(InternalKVGcsService, InternalKVPut, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(InternalKVGcsService, InternalKVDel, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + InternalKVGcsService, InternalKVExists, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(InternalKVGcsService, InternalKVKeys, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + InternalKVGcsService, GetInternalConfig, max_active_rpcs_per_handler_) +} + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index d825ad7112bb..b8f6b69f8180 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -150,5 +150,28 @@ class WorkerInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class InternalKVGrpcService : public GrpcService { + public: + explicit InternalKVGrpcService(instrumented_io_context &io_service, + InternalKVGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + InternalKVGcsService::AsyncService service_; + InternalKVGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index d5417e0647f3..ccb97f0489f0 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -6,7 +6,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_function_manager", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc index 2e82f08330d6..f2db28735bad 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc @@ -14,12 +14,12 @@ #include "ray/gcs/gcs_server/gcs_function_manager.h" +#include + #include -// clang-format off -#include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -// clang-format on +#include "ray/gcs/gcs_server/gcs_function_manager.h" namespace ray { diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 3cbc18558d07..7843b9ad8d17 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -142,9 +142,6 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define INTERNAL_KV_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(InternalKVGcsService, HANDLER, -1) - #define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ reply->mutable_status()->set_code(static_cast(status.code())); \ reply->mutable_status()->set_message(status.message()); \ @@ -351,64 +348,6 @@ class PlacementGroupInfoGrpcService : public GrpcService { PlacementGroupInfoGcsServiceHandler &service_handler_; }; -class InternalKVGcsServiceHandler { - public: - virtual ~InternalKVGcsServiceHandler() = default; - virtual void HandleInternalKVKeys(InternalKVKeysRequest request, - InternalKVKeysReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleInternalKVGet(InternalKVGetRequest request, - InternalKVGetReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleInternalKVMultiGet(InternalKVMultiGetRequest request, - InternalKVMultiGetReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleInternalKVPut(InternalKVPutRequest request, - InternalKVPutReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleInternalKVDel(InternalKVDelRequest request, - InternalKVDelReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleInternalKVExists(InternalKVExistsRequest request, - InternalKVExistsReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetInternalConfig(GetInternalConfigRequest request, - GetInternalConfigReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -class InternalKVGrpcService : public GrpcService { - public: - explicit InternalKVGrpcService(instrumented_io_context &io_service, - InternalKVGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVGet); - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVMultiGet); - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVPut); - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVDel); - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVExists); - INTERNAL_KV_SERVICE_RPC_HANDLER(InternalKVKeys); - INTERNAL_KV_SERVICE_RPC_HANDLER(GetInternalConfig); - } - - private: - InternalKVGcsService::AsyncService service_; - InternalKVGcsServiceHandler &service_handler_; -}; - class TaskInfoGcsServiceHandler { public: virtual ~TaskInfoGcsServiceHandler() = default; @@ -485,7 +424,6 @@ class RayEventExportGrpcService : public GrpcService { using ActorInfoHandler = ActorInfoGcsServiceHandler; using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; -using InternalKVHandler = InternalKVGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; using RayEventExportHandler = RayEventExportGcsServiceHandler; From 85d6b8415b8abaaf7373bb73d81140b9dfff93b4 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Wed, 27 Aug 2025 11:27:37 -0700 Subject: [PATCH 0892/1566] [Core] Add Comment on the Remaining Dynamic Labels Logic (#55982) Dynamic labels are a deprecated feature in Ray. However, Ray's autoscaler depends on the feature for placement group strict-spread scheduling. So for backward compatibility purposes, we keep this only use case for now in the codebase. This PR add comments to clarify the above in the code to avoid confusion from people. Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/v2/scheduler.py | 7 ++++++- src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc | 4 ++++ src/ray/gcs/pb_util.h | 2 ++ src/ray/protobuf/autoscaler.proto | 6 +++++- 4 files changed, 17 insertions(+), 2 deletions(-) diff --git a/python/ray/autoscaler/v2/scheduler.py b/python/ray/autoscaler/v2/scheduler.py index 9fafab0ca7a4..6c87dc4e85f5 100644 --- a/python/ray/autoscaler/v2/scheduler.py +++ b/python/ray/autoscaler/v2/scheduler.py @@ -161,6 +161,8 @@ class SchedulingNode: # The node's current resource capacity. total_resources: Dict[str, float] = field(default_factory=dict) # Node's labels, including static or dynamic labels. + # Note that dynamic labels are a deprecated feature. And it is only used for the + # autoscaler’s strict-spread placement group scheduling (antiaffinity) labels: Dict[str, str] = field(default_factory=dict) # Observability descriptive message for why the node was launched in the # first place. @@ -278,6 +280,9 @@ def new( available_resources=dict(instance.ray_node.available_resources), labels={ **(instance.ray_node.labels or {}), + # DEPRECATED: Dynamic labels are a deprecated feature. This field + # is used here only for the autoscaler’s strict-spread placement + # group scheduling (antiaffinity). **(instance.ray_node.dynamic_labels or {}), }, status=SchedulingNodeStatus.SCHEDULABLE, @@ -606,7 +611,7 @@ def _try_schedule_one( # Add the request to the node. self.add_sched_request(request, resource_request_source) - # Update the dynamic labels if there's any + # Update the placement group in labels if there's any for constraint in request.placement_constraints: # We don't need to check for affinity constraints here since # we have already combined resource requests with the affinity diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 8a84b8a00c63..c6de00a352f6 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -413,6 +413,10 @@ void GcsAutoscalerStateManager::GetNodeStates( node_state_proto->mutable_total_resources()->insert(total.begin(), total.end()); // Add dynamic PG labels. + // DEPRECATED: Dynamic labels feature is deprecated. Do not introduce new usages. + // This assignment is kept only for backward compatibility in the autoscaler, where + // the placement group ID is needed to enforce antiaffinity constraints for + // strict-spread placement group scheduling. const auto &pgs_on_node = gcs_placement_group_manager_.GetBundlesOnNode(node_id); for (const auto &[pg_id, _bundle_indices] : pgs_on_node) { node_state_proto->mutable_dynamic_labels()->insert( diff --git a/src/ray/gcs/pb_util.h b/src/ray/gcs/pb_util.h index 52f222ba443a..f934ea51309d 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/gcs/pb_util.h @@ -454,6 +454,8 @@ GenPlacementConstraintForPlacementGroup(const std::string &pg_id, // We are embedding the PG id into the key for the same reasons as we do for // dynamic labels (a node will have multiple PGs thus having a common PG key // is not enough). + // Note that this is only use case for dynamic labels and is retained + // purely for backward compatibility purposes. const std::string name = FormatPlacementGroupLabelName(pg_id); switch (strategy) { case rpc::PlacementStrategy::STRICT_SPREAD: { diff --git a/src/ray/protobuf/autoscaler.proto b/src/ray/protobuf/autoscaler.proto index 6666e131828c..e463b08c1bed 100644 --- a/src/ray/protobuf/autoscaler.proto +++ b/src/ray/protobuf/autoscaler.proto @@ -150,7 +150,11 @@ message NodeState { // The corresponding total resources on the node. map total_resources = 5; - // Dynamic labels associated with the node. + // DEPRECATED: This field is part of the deprecated dynamic labels feature and + // must not be used in new code. It is retained solely for backward compatibility + // in the autoscaler, where it is required to retrieve the placement group ID for + // enforcing antiaffinity constraints in strict-spread placement group scheduling. + // // Reserved dynamic label names: _PG map dynamic_labels = 6; From 4b1793fd9ad4a2bd20da5be256f8da90f4527b94 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Wed, 27 Aug 2025 11:58:56 -0700 Subject: [PATCH 0893/1566] [core][gpu-objects] Handle multiple transfers of the same object to an actor (#55628) There exists a race condition where if a gpu obj is being passed twice to an actor. Since the send/recv is occurring on a background thread, an order of operations may occur like: actor1.recv1 --> actor1.recv2 --> actor1.pop1 --> actor1.pop2. In this case, the obj_id gets popped out of the dictionary in pop1, and pop2 will hang waiting for the gpu_obj to be received. Our solution is to implement a queue that accepts multiple recvs so each pop always has a relevant list of tensors in the object store. --------- Signed-off-by: avigyabb Signed-off-by: Douglas Strodtman --- .../gpu_object_manager/gpu_object_store.py | 42 ++++++++++++------- python/ray/tests/test_gpu_objects_gloo.py | 39 +++++++++++++++++ 2 files changed, 65 insertions(+), 16 deletions(-) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 92e706f50af0..93fcbc20f54d 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,7 +1,7 @@ from dataclasses import dataclass from typing import Dict, List, Optional, Set import threading -from collections import defaultdict +from collections import defaultdict, deque import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum @@ -139,10 +139,10 @@ class GPUObjectStore: """ def __init__(self): - # A dictionary that maps from an object ID to a list of tensors. + # A dictionary that maps from an object ID to a queue of tensor lists. # - # Note: Currently, `gpu_object_store` is only supported for Ray Actors. - self._gpu_object_store: Dict[str, _GPUObject] = {} + # Note: Currently, `_gpu_object_store` is only supported for Ray Actors. + self._gpu_object_store: Dict[str, deque[_GPUObject]] = defaultdict(deque) # Mapping from tensor to the IDs of objects that contain it. self._tensor_to_object_ids: Dict["torch.Tensor", Set[str]] = defaultdict(set) # Synchronization for GPU object store. @@ -154,7 +154,10 @@ def __init__(self): def has_object(self, obj_id: str) -> bool: with self._lock: - return obj_id in self._gpu_object_store + existed = obj_id in self._gpu_object_store + if existed: + return len(self._gpu_object_store[obj_id]) > 0 + return existed def has_tensor(self, tensor: "torch.Tensor") -> bool: with self._lock: @@ -162,7 +165,7 @@ def has_tensor(self, tensor: "torch.Tensor") -> bool: def get_object(self, obj_id: str) -> Optional[List["torch.Tensor"]]: with self._lock: - return self._gpu_object_store[obj_id].data + return self._gpu_object_store[obj_id][0].data def add_object( self, @@ -181,17 +184,19 @@ def add_object( with self._object_present_cv: for tensor in gpu_object: self._tensor_to_object_ids[tensor].add(obj_id) - self._gpu_object_store[obj_id] = _GPUObject( - gpu_object, - is_primary, + # Append to the queue instead of overwriting + self._gpu_object_store[obj_id].append( + _GPUObject( + gpu_object, + is_primary, + ) ) self._object_present_cv.notify_all() def is_primary_copy(self, obj_id: str) -> bool: with self._lock: return ( - obj_id in self._gpu_object_store - and self._gpu_object_store[obj_id].is_primary + self.has_object(obj_id) and self._gpu_object_store[obj_id][0].is_primary ) def wait_and_get_object( @@ -246,7 +251,8 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: """ with self._object_present_cv: if not self._object_present_cv.wait_for( - lambda: obj_id in self._gpu_object_store, timeout=timeout + lambda: self.has_object(obj_id), + timeout=timeout, ): raise TimeoutError( f"ObjectRef({obj_id}) not found in GPU object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" @@ -254,10 +260,13 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: def pop_object(self, obj_id: str) -> List["torch.Tensor"]: with self._lock: - assert ( - obj_id in self._gpu_object_store + assert self.has_object( + obj_id ), f"obj_id={obj_id} not found in GPU object store" - gpu_object = self._gpu_object_store.pop(obj_id) + queue = self._gpu_object_store.get(obj_id) + gpu_object = queue.popleft() + if len(queue) == 0: + del self._gpu_object_store[obj_id] for tensor in gpu_object.data: self._tensor_to_object_ids[tensor].remove(obj_id) if len(self._tensor_to_object_ids[tensor]) == 0: @@ -284,4 +293,5 @@ def get_num_objects(self) -> int: Return the number of objects in the GPU object store. """ with self._lock: - return len(self._gpu_object_store) + # Count total objects across all queues + return sum(len(queue) for queue in self._gpu_object_store.values()) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 65f5550e2896..4b01babd9a69 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -37,6 +37,10 @@ def double(self, data): return data.apply(lambda x: x * 2) return data * 2 + def increment(self, data): + data += 1 + return data + def get_out_of_band_tensors(self, obj_id: str, timeout=None): gpu_object_store = ( ray._private.worker.global_worker.gpu_object_manager.gpu_object_store @@ -812,5 +816,40 @@ def gc(obj_id): assert not gpu_object_store.has_object(obj_id2) +def test_duplicate_objectref_transfer(ray_start_regular): + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + actor0, actor1 = actors[0], actors[1] + + small_tensor = torch.randn((1,)) + + # Store the original value for comparison + original_value = small_tensor + + ref = actor0.echo.remote(small_tensor) + + # Pass the same ref to actor1 twice + result1 = actor1.increment.remote(ref) + result2 = actor1.increment.remote(ref) + + # Both should return original_value + 1 because each increment task should receive the same object value. + val1 = ray.get(result1) + val2 = ray.get(result2) + + # Check for correctness + assert val1 == pytest.approx( + original_value + 1 + ), f"Result1 incorrect: got {val1}, expected {original_value + 1}" + assert val2 == pytest.approx( + original_value + 1 + ), f"Result2 incorrect: got {val2}, expected {original_value + 1}" + + # Additional check: results should be equal (both got clean copies) + assert val1 == pytest.approx( + val2 + ), f"Results differ: result1={val1}, result2={val2}" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From d074f5e64a83fe9253037f3563291a7d6103fc0e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 27 Aug 2025 13:44:42 -0700 Subject: [PATCH 0894/1566] [ci] point refresh compile commands to :ray_pkg_zip (#56004) deprecating `:ray_pkg` rule Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/BUILD.bazel b/BUILD.bazel index f2ce28aa7e9b..47afe3ea98a3 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -117,7 +117,7 @@ alias( refresh_compile_commands( name = "refresh_compile_commands", targets = { - "//:ray_pkg": "", + "//:ray_pkg_zip": "", }, ) From d626db1b1b8dd6120021b83e33fd62d214061da2 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 27 Aug 2025 15:53:49 -0500 Subject: [PATCH 0895/1566] [core] Split `gcs_resource_manager` target from `gcs_server_lib` (#55846) Stacked on: https://github.com/ray-project/ray/pull/55814 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 47 +++++++++++---- src/ray/gcs/gcs_server/gcs_job_manager.cc | 3 - src/ray/gcs/gcs_server/gcs_job_manager.h | 9 +-- src/ray/gcs/gcs_server/gcs_node_manager.h | 13 +++-- .../gcs/gcs_server/gcs_placement_group_mgr.h | 1 + .../gcs/gcs_server/gcs_resource_manager.cc | 7 ++- src/ray/gcs/gcs_server/gcs_resource_manager.h | 23 +++----- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- .../gcs/gcs_server/grpc_service_interfaces.h | 21 +++++++ src/ray/gcs/gcs_server/grpc_services.cc | 14 +++++ src/ray/gcs/gcs_server/grpc_services.h | 23 ++++++++ src/ray/gcs/gcs_server/tests/BUILD.bazel | 32 ++++++---- .../gcs_actor_manager_export_event_test.cc | 13 ++--- .../gcs_job_manager_export_event_test.cc | 4 +- .../gcs_autoscaler_state_manager_test.cc | 2 + .../tests/gcs_function_manager_test.cc | 1 - .../gcs_server/tests/gcs_job_manager_test.cc | 1 - .../tests/gcs_worker_manager_test.cc | 14 ++--- .../tests/usage_stats_client_test.cc | 5 +- src/ray/rpc/gcs/gcs_rpc_server.h | 58 ------------------- 20 files changed, 163 insertions(+), 132 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index bcf7cafe32e7..8d6de0908ca3 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -68,10 +68,6 @@ ray_cc_library( name = "gcs_node_manager", srcs = ["gcs_node_manager.cc"], hdrs = ["gcs_node_manager.h"], - implementation_deps = [ - "//src/ray/gcs:gcs_pb_util", - "@com_google_absl//absl/container:flat_hash_set", - ], deps = [ ":gcs_init_data", ":gcs_table_storage", @@ -79,14 +75,43 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", + "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", "//src/ray/rpc:node_manager_client", + "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:logging", "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + +ray_cc_library( + name = "gcs_resource_manager", + srcs = ["gcs_resource_manager.cc"], + hdrs = ["gcs_resource_manager.h"], + deps = [ + ":gcs_init_data", + ":gcs_node_manager", + ":gcs_state_util", + ":grpc_service_interfaces", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/common:ray_syncer", + "//src/ray/common:task_common", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/protobuf:ray_syncer_cc_proto", + "//src/ray/raylet/scheduling:cluster_resource_manager", + "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/rpc:gcs_server", + "//src/ray/stats:stats_metric", + "//src/ray/util:logging", + "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -206,18 +231,16 @@ ray_cc_library( name = "gcs_job_manager", srcs = ["gcs_job_manager.cc"], hdrs = ["gcs_job_manager.h"], - implementation_deps = [ + deps = [ ":gcs_function_manager", ":gcs_init_data", ":gcs_table_storage", - "//src/ray/gcs:gcs_pb_util", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", - "//src/ray/stats:stats_metric", - ], - deps = [ ":grpc_service_interfaces", "//src/ray/common:runtime_env", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/rpc:core_worker_client", + "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:thread_checker", "@com_google_absl//absl/container:flat_hash_map", @@ -284,7 +307,6 @@ ray_cc_library( "gcs_autoscaler_state_manager.cc", "gcs_placement_group_mgr.cc", "gcs_placement_group_scheduler.cc", - "gcs_resource_manager.cc", "gcs_server.cc", ], hdrs = [ @@ -293,7 +315,6 @@ ray_cc_library( "gcs_autoscaler_state_manager.h", "gcs_placement_group_mgr.h", "gcs_placement_group_scheduler.h", - "gcs_resource_manager.h", "gcs_server.h", ], deps = [ @@ -305,6 +326,7 @@ ray_cc_library( ":gcs_kv_manager", ":gcs_node_manager", ":gcs_pubsub_handler", + ":gcs_resource_manager", ":gcs_runtime_env_handler", ":gcs_server_io_context_policy", ":gcs_state_util", @@ -350,6 +372,7 @@ ray_cc_binary( deps = [ ":gcs_server_lib", "//src/ray/stats:stats_lib", + "//src/ray/util:event", "//src/ray/util:raii", "//src/ray/util:stream_redirection", "//src/ray/util:stream_redirection_options", diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index ae55183c416c..ec0e251d5b20 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -22,9 +22,6 @@ #include #include "absl/strings/match.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/pb_util.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/stats/metric.h" diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_server/gcs_job_manager.h index 97da33b4b478..00b21286a372 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_server/gcs_job_manager.h @@ -22,7 +22,12 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/runtime_env_manager.h" +#include "ray/gcs/gcs_server/gcs_function_manager.h" +#include "ray/gcs/gcs_server/gcs_init_data.h" +#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" @@ -44,11 +49,7 @@ inline std::string JobDataKey(const std::string &submission_id) { using JobFinishListenerCallback = rpc::JobInfoGcsServiceHandler::JobFinishListenerCallback; -class GcsInitData; -class GcsTableStorage; class GcsPublisher; -class GCSFunctionManager; -class InternalKVInterface; class GcsJobManager : public rpc::JobInfoGcsServiceHandler { public: diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index d54536c4ec49..710899260779 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -21,17 +21,21 @@ #include #include "absl/container/flat_hash_map.h" +#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/stats/metric_defs.h" #include "ray/util/event.h" +#include "src/ray/protobuf/autoscaler.pb.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/ray_syncer.pb.h" -namespace ray::gcs { +namespace ray { +namespace gcs { class GcsAutoscalerStateManagerTest; class GcsStateTest; @@ -46,7 +50,7 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { /// \param gcs_publisher GCS message publisher. /// \param gcs_table_storage GCS table external storage accessor. GcsNodeManager(GcsPublisher *gcs_publisher, - gcs::GcsTableStorage *gcs_table_storage, + GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, rpc::RayletClientPool *raylet_client_pool, const ClusterID &cluster_id); @@ -260,7 +264,7 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { /// A publisher for publishing gcs messages. GcsPublisher *gcs_publisher_; /// Storage for GCS tables. - gcs::GcsTableStorage *gcs_table_storage_; + GcsTableStorage *gcs_table_storage_; instrumented_io_context &io_context_; /// Raylet client pool. rpc::RayletClientPool *raylet_client_pool_; @@ -289,4 +293,5 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { friend GcsStateTest; }; -} // namespace ray::gcs +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index 80365c542c87..37d1afdcf58d 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -34,6 +34,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/util/counter_map.h" #include "ray/util/exponential_backoff.h" diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_server/gcs_resource_manager.cc index 373ec4c5dae5..e73f834bf816 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.cc @@ -19,7 +19,8 @@ #include #include "ray/common/ray_config.h" -#include "ray/stats/metric_defs.h" +#include "ray/gcs/gcs_server/state_util.h" +#include "ray/util/logging.h" namespace ray { namespace gcs { @@ -28,7 +29,7 @@ GcsResourceManager::GcsResourceManager(instrumented_io_context &io_context, ClusterResourceManager &cluster_resource_manager, GcsNodeManager &gcs_node_manager, NodeID local_node_id, - ClusterTaskManager *cluster_task_manager) + raylet::ClusterTaskManager *cluster_task_manager) : io_context_(io_context), cluster_resource_manager_(cluster_resource_manager), gcs_node_manager_(gcs_node_manager), @@ -36,7 +37,7 @@ GcsResourceManager::GcsResourceManager(instrumented_io_context &io_context, cluster_task_manager_(cluster_task_manager) {} void GcsResourceManager::ConsumeSyncMessage( - std::shared_ptr message) { + std::shared_ptr message) { // ConsumeSyncMessage is called by ray_syncer which might not run // in a dedicated thread for performance. // GcsResourceManager is a module always run in the main thread, so we just diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.h b/src/ray/gcs/gcs_server/gcs_resource_manager.h index ab523b33bd23..730141ff220f 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.h @@ -20,27 +20,21 @@ #include #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" +#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/state_util.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/raylet/scheduling/cluster_task_manager.h" -#include "ray/rpc/client_call.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/stats/metric_defs.h" #include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/ray_syncer.pb.h" namespace ray { - -using raylet::ClusterTaskManager; - namespace gcs { -class GcsNodeManager; -class GcsServer; /// Ideally, the logic related to resource calculation should be moved from /// `gcs_resource_manager` to `cluster_resource_manager`, and all logic related to @@ -60,7 +54,7 @@ class GcsServer; /// It is responsible for handing node resource related rpc requests and it is used for /// actor and placement group scheduling. It obtains the available resources of nodes /// through heartbeat reporting. Non-thread safe. -class GcsResourceManager : public rpc::NodeResourceInfoHandler, +class GcsResourceManager : public rpc::NodeResourceInfoGcsServiceHandler, public syncer::ReceiverInterface { public: /// Create a GcsResourceManager. @@ -68,12 +62,13 @@ class GcsResourceManager : public rpc::NodeResourceInfoHandler, ClusterResourceManager &cluster_resource_manager, GcsNodeManager &gcs_node_manager, NodeID local_node_id, - ClusterTaskManager *cluster_task_manager = nullptr); + raylet::ClusterTaskManager *cluster_task_manager = nullptr); virtual ~GcsResourceManager() = default; /// Handle the resource update. - void ConsumeSyncMessage(std::shared_ptr message) override; + void ConsumeSyncMessage( + std::shared_ptr message) override; /// Handle get available resources of all nodes. /// Autoscaler-specific RPC called from Python. @@ -202,7 +197,7 @@ class GcsResourceManager : public rpc::NodeResourceInfoHandler, ClusterResourceManager &cluster_resource_manager_; GcsNodeManager &gcs_node_manager_; NodeID local_node_id_; - ClusterTaskManager *cluster_task_manager_; + raylet::ClusterTaskManager *cluster_task_manager_; /// Num of alive nodes in the cluster. size_t num_alive_nodes_ = 0; }; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index f38223c44afb..890d958d72c5 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -361,7 +361,9 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { // Initialize by gcs tables data. gcs_resource_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_resource_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_resource_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); periodical_runner_->RunFnPeriodically( [this] { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 4721344af4ae..f1cf9b70f538 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -64,6 +64,27 @@ class NodeInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class NodeResourceInfoGcsServiceHandler { + public: + virtual ~NodeResourceInfoGcsServiceHandler() = default; + + virtual void HandleGetAllAvailableResources(GetAllAvailableResourcesRequest request, + GetAllAvailableResourcesReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllTotalResources(GetAllTotalResourcesRequest request, + GetAllTotalResourcesReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetDrainingNodes(GetDrainingNodesRequest request, + GetDrainingNodesReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllResourceUsage(GetAllResourceUsageRequest request, + GetAllResourceUsageReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + class InternalPubSubGcsServiceHandler { public: virtual ~InternalPubSubGcsServiceHandler() = default; diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 897cf18e234c..4157256be205 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -36,6 +36,20 @@ void NodeInfoGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(NodeInfoGcsService, CheckAlive, max_active_rpcs_per_handler_) } +void NodeResourceInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER( + NodeResourceInfoGcsService, GetAllAvailableResources, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + NodeResourceInfoGcsService, GetAllTotalResources, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + NodeResourceInfoGcsService, GetDrainingNodes, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + NodeResourceInfoGcsService, GetAllResourceUsage, max_active_rpcs_per_handler_) +} + void InternalPubSubGrpcService::InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index b8f6b69f8180..0a463c2b6b6f 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -58,6 +58,29 @@ class NodeInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class NodeResourceInfoGrpcService : public GrpcService { + public: + explicit NodeResourceInfoGrpcService(instrumented_io_context &io_service, + NodeResourceInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + NodeResourceInfoGcsService::AsyncService service_; + NodeResourceInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + class InternalPubSubGrpcService : public GrpcService { public: InternalPubSubGrpcService(instrumented_io_context &io_service, diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index ccb97f0489f0..417989a559c4 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -68,7 +68,10 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_kv_manager", + "//src/ray/gcs/gcs_server:gcs_store_client_kv", + "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/gcs/store_client:redis_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], @@ -96,7 +99,8 @@ ray_cc_test( "team:core", ], deps = [ - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_health_check_manager", + "//src/ray/rpc:grpc_server", "//src/ray/util:network_util", "@boost//:thread", "@com_google_googletest//:gtest_main", @@ -127,10 +131,11 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_job_manager", + "//src/ray/gcs/gcs_server:gcs_kv_manager", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -146,7 +151,7 @@ ray_cc_test( deps = [ ":gcs_server_test_util", "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_task_manager", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -250,9 +255,10 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_store_client_kv", + "//src/ray/gcs/gcs_server:gcs_worker_manager", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:process", "@com_google_googletest//:gtest_main", @@ -334,8 +340,10 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/gcs/gcs_server:gcs_resource_manager", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], ) @@ -348,9 +356,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/common:asio", + "//src/ray/gcs/gcs_server:gcs_usage_stats_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], @@ -365,10 +373,10 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_job_manager", + "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index 0b5c6494ea3a..dfa789f79805 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include + #include #include #include @@ -20,18 +22,15 @@ #include #include -// clang-format off -#include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" #include "ray/util/event.h" -// clang-format on namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index c4cd529da5df..7d2581b5cf44 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -12,17 +12,17 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include + #include #include #include -#include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/gcs/gcs_server/gcs_job_manager.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 5f3f587c17b6..5507a24b0461 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -30,6 +30,8 @@ #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/gcs/gcs_server/gcs_init_data.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc index f2db28735bad..10b8409dc844 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc @@ -19,7 +19,6 @@ #include #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index b41e4d727e8f..5fe6fad4aa96 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -22,7 +22,6 @@ #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc index 0d34847e9ced..def15f75e97d 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc @@ -19,17 +19,15 @@ #include #include -#include "ray/util/process.h" - -// clang-format off +#include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/gcs_server/store_client_kv.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" -#include "mock/ray/pubsub/publisher.h" -#include "src/ray/protobuf/gcs.pb.h" +#include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" -#include "ray/gcs/gcs_server/store_client_kv.h" -// clang-format on +#include "src/ray/protobuf/gcs.pb.h" + using namespace ::testing; // NOLINT using namespace ray::gcs; // NOLINT using namespace ray; // NOLINT diff --git a/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc b/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc index fbe054f4bebc..7a0b7ffea376 100644 --- a/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc +++ b/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc @@ -14,13 +14,14 @@ #include "ray/gcs/gcs_server/usage_stats_client.h" +#include + #include #include -#include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/common/asio/asio_util.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_server.h" using namespace ray; // NOLINT diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 7843b9ad8d17..7b812c13739e 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -127,11 +127,6 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(NodeResourceInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ HANDLER, \ @@ -234,58 +229,6 @@ class ActorInfoGrpcService : public GrpcService { ActorInfoGcsServiceHandler &service_handler_; }; -class NodeResourceInfoGcsServiceHandler { - public: - virtual ~NodeResourceInfoGcsServiceHandler() = default; - - virtual void HandleGetAllAvailableResources( - rpc::GetAllAvailableResourcesRequest request, - rpc::GetAllAvailableResourcesReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllTotalResources(rpc::GetAllTotalResourcesRequest request, - rpc::GetAllTotalResourcesReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetDrainingNodes(rpc::GetDrainingNodesRequest request, - rpc::GetDrainingNodesReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllResourceUsage(GetAllResourceUsageRequest request, - GetAllResourceUsageReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `NodeResourceInfoGcsService`. -class NodeResourceInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit NodeResourceInfoGrpcService(instrumented_io_context &io_service, - NodeResourceInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(GetAllAvailableResources); - NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(GetAllTotalResources); - NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(GetDrainingNodes); - NODE_RESOURCE_INFO_SERVICE_RPC_HANDLER(GetAllResourceUsage); - } - - private: - /// The grpc async service object. - NodeResourceInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - NodeResourceInfoGcsServiceHandler &service_handler_; -}; - class PlacementGroupInfoGcsServiceHandler { public: virtual ~PlacementGroupInfoGcsServiceHandler() = default; @@ -422,7 +365,6 @@ class RayEventExportGrpcService : public GrpcService { }; using ActorInfoHandler = ActorInfoGcsServiceHandler; -using NodeResourceInfoHandler = NodeResourceInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; using TaskInfoHandler = TaskInfoGcsServiceHandler; using RayEventExportHandler = RayEventExportGcsServiceHandler; From 09887f038659763a9cc99639e7b8e127a1fd7596 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Wed, 27 Aug 2025 15:06:13 -0700 Subject: [PATCH 0896/1566] Support cpu tensor transfer with NIXL in GPU Objects (#55793) Since nixl actually supports cpu tensor transfer, we should also support it in ray gpu objects. Close #55587 Signed-off-by: Douglas Strodtman --- .../channel/serialization_context.py | 4 ++- .../collective/collective_tensor_transport.py | 16 ++++++++-- .../collective/nixl_tensor_transport.py | 13 ++++++++- .../collective/tensor_transport_manager.py | 2 -- python/ray/experimental/collective/util.py | 17 ++++++++++- .../gpu_object_manager/gpu_object_store.py | 29 +++++++++---------- python/ray/tests/test_gpu_objects_nixl.py | 24 ++++++++++----- python/ray/util/collective/types.py | 3 ++ 8 files changed, 79 insertions(+), 29 deletions(-) diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index 40784b38f409..d06a2d9e098b 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -97,7 +97,9 @@ def serialize_tensor( from ray.experimental.channel import ChannelContext ctx = ChannelContext.get_current() - if self._use_external_transport and tensor.device == ctx.torch_device: + if self._use_external_transport and ( + ctx._torch_device is None or ctx._torch_device == tensor.device + ): # External transport is enabled and we found a tensor that matches # our device. Add the actual tensor to a buffer. The buffer of # tensors should later be popped by the caller and sent via diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 7bf39aed7b25..f6766cbd6f36 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -40,8 +40,19 @@ def __ray_get_tensor_transport_metadata__( # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) + tensor_meta = [] + device = None + if gpu_object: + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in one GPU object must be the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) return CollectiveTransportMetadata( - tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + tensor_meta=tensor_meta, + tensor_device=device, ) # Submit a Ray actor task to the source actor to get the tensor metadata. @@ -130,10 +141,11 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CollectiveCommunicatorMetadata, - device: "torch.device", ): import ray.util.collective as collective + device = tensor_transport_metadata.tensor_device + for tensor in tensors: if tensor.device.type != device.type: # TODO(swang): Right now there is no way to catch this error diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index eb86f0cb9a3d..dcedbc11bf41 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -45,14 +45,25 @@ def __ray_get_tensor_transport_metadata__( from ray.util.collective.collective import get_group_handle nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) + device = None + tensor_meta = [] if gpu_object: serialized_descs, agent_meta = nixl_backend.get_nixl_metadata( gpu_object ) + # We assume all tensors in one GPU object have the same device type. + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in one GPU object must be the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) else: serialized_descs, agent_meta = None, None return NixlTransportMetadata( - tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + tensor_meta=tensor_meta, + tensor_device=device, nixl_serialized_descs=serialized_descs, nixl_agent_meta=agent_meta, ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 9f3896699393..18d554d2c6d7 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -143,7 +143,6 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CommunicatorMetadata, - device: "torch.device", ): """ Send multiple tensors to the destination actor. @@ -151,5 +150,4 @@ def send_multiple_tensors( Args: tensors: The tensors to send. communicator_metadata: The communicator metadata for the send/recv operation. - device: The device to send the tensors to. """ diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index fc6ef64229fb..6e9297dba37c 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -1,4 +1,4 @@ -from typing import Tuple +from typing import Tuple, TYPE_CHECKING from contextlib import closing import socket @@ -11,6 +11,9 @@ CollectiveTensorTransport, ) +if TYPE_CHECKING: + import torch + # Singleton instances for tensor transport managers _nixl_tensor_transport_manager = None _collective_tensor_transport_manager = None @@ -41,6 +44,18 @@ def get_tensor_transport_manager( raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") +def device_match_transport(device: "torch.device", tensor_transport: Backend) -> bool: + """Check if the device matches the transport.""" + if tensor_transport == Backend.NIXL: + return device.type == "cuda" or device.type == "cpu" + elif tensor_transport == Backend.TORCH_GLOO: + return device.type == "cpu" + elif tensor_transport == Backend.NCCL: + return device.type == "cuda" + else: + raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") + + def find_free_port() -> int: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: s.bind(("", 0)) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 93fcbc20f54d..01fdbccaf43e 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -11,6 +11,9 @@ TensorTransportMetadata, ) +from ray.experimental.collective import get_tensor_transport_manager +from ray.experimental.collective.util import device_match_transport + try: import torch except ImportError: @@ -25,14 +28,6 @@ TensorTransportEnum.NIXL: Backend.NIXL, } -COLLECTIVE_BACKEND_TO_TORCH_DEVICE = { - Backend.NCCL: torch.device("cuda"), - Backend.TORCH_GLOO: torch.device("cpu"), - # TODO(Qiaolin-Yu): NIXL could also transfer tensors from CPU to CPU. - # More details in https://github.com/ray-project/ray/issues/55587. - Backend.NIXL: torch.device("cuda"), -} - def _tensor_transport_to_collective_backend( tensor_transport: TensorTransportEnum, @@ -61,15 +56,17 @@ def __ray_send__( tensors = gpu_object_store.get_object(obj_id) backend = collective.get_group_handle(communicator_meta.communicator_name).backend() - device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] - - from ray.experimental.collective import get_tensor_transport_manager tensor_transport_manager = get_tensor_transport_manager(backend) + if tensors and not device_match_transport( + tensor_transport_meta.tensor_device, backend + ): + raise ValueError( + f"Tensor transport backend {backend} does not support tensor transfer on device {tensor_transport_meta.tensor_device}." + ) tensor_transport_manager.send_multiple_tensors( tensors, communicator_meta, - device=device, ) @@ -82,14 +79,16 @@ def __ray_recv__( """Helper function that runs on the dst actor to receive tensors from the src actor.""" from ray._private.worker import global_worker - from ray.experimental.collective import get_tensor_transport_manager - backend = collective.get_group_handle(communicator_meta.communicator_name).backend() - device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] + device = tensor_transport_meta.tensor_device tensor_meta = tensor_transport_meta.tensor_meta gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + if tensor_meta and not device_match_transport(device, backend): + raise ValueError( + f"Tensor transport backend {backend} does not support tensor transfer on device {device}." + ) tensors = [] for meta in tensor_meta: shape, dtype = meta diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/test_gpu_objects_nixl.py index e46a24358d37..3a65e8ea7eb9 100644 --- a/python/ray/tests/test_gpu_objects_nixl.py +++ b/python/ray/tests/test_gpu_objects_nixl.py @@ -7,10 +7,11 @@ @ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) class GPUTestActor: @ray.method(tensor_transport="nixl") - def echo(self, data): - return data.to("cuda") + def echo(self, data, device): + return data.to(device) - def sum(self, data): + def sum(self, data, device): + assert data.device.type == device return data.sum().item() @@ -23,12 +24,21 @@ def test_p2p(ray_start_regular): # Create test tensor tensor = torch.tensor([1, 2, 3]) - ref = src_actor.echo.remote(tensor) + + tensor1 = torch.tensor([4, 5, 6]) + + # Test GPU to GPU transfer + ref = src_actor.echo.remote(tensor, "cuda") # Trigger tensor transfer from src to dst actor - result = dst_actor.sum.remote(ref) + result = dst_actor.sum.remote(ref, "cuda") assert tensor.sum().item() == ray.get(result) + # Test CPU to CPU transfer + ref1 = src_actor.echo.remote(tensor1, "cpu") + result1 = dst_actor.sum.remote(ref1, "cpu") + assert tensor1.sum().item() == ray.get(result1) + @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) def test_intra_gpu_tensor_transfer(ray_start_regular): @@ -37,8 +47,8 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): tensor = torch.tensor([1, 2, 3]) # Intra-actor communication for pure GPU tensors - ref = actor.echo.remote(tensor) - result = actor.sum.remote(ref) + ref = actor.echo.remote(tensor, "cuda") + result = actor.sum.remote(ref, "cuda") assert tensor.sum().item() == ray.get(result) diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index 06a05ae71549..e46737c5a033 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -61,9 +61,12 @@ class TensorTransportMetadata: Args: tensor_meta: A list of tuples, each containing the shape and dtype of a tensor. + tensor_device: The device of the tensor. Currently, we require all tensors in the + list have the same device type. """ tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] + tensor_device: Optional["torch.device"] = None @dataclass From eb0f5aa86410df3d2f1a9fa014b07c4f20c3594d Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 27 Aug 2025 15:06:33 -0700 Subject: [PATCH 0897/1566] [deps] upgrading orjson to 3.9.15 (#55972) upgrading orjson due to security vulnerability https://github.com/ray-project/ray/security/dependabot/3692 --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- python/requirements_compiled.txt | 2 +- .../byod/requirements_byod_3.9.txt | 102 +++++++++--------- .../byod/requirements_ml_byod_3.9.txt | 102 +++++++++--------- 3 files changed, 103 insertions(+), 103 deletions(-) diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 27231510d8bc..f66c65c7b33f 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1350,7 +1350,7 @@ opt-einsum==3.3.0 # tensorflow optuna==4.1.0 # via -r python/requirements/ml/tune-requirements.txt -orjson==3.9.10 +orjson==3.9.15 # via # gradio # tensordict diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 91b7f97daaad..982e72c18612 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -1837,57 +1837,57 @@ opt-einsum==3.3.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # tensorflow -orjson==3.9.10 \ - --hash=sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83 \ - --hash=sha256:0a73160e823151f33cdc05fe2cea557c5ef12fdf276ce29bb4f1c571c8368a60 \ - --hash=sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9 \ - --hash=sha256:1d0dc4310da8b5f6415949bd5ef937e60aeb0eb6b16f95041b5e43e6200821fb \ - --hash=sha256:2a11b4b1a8415f105d989876a19b173f6cdc89ca13855ccc67c18efbd7cbd1f8 \ - --hash=sha256:2e2ecd1d349e62e3960695214f40939bbfdcaeaaa62ccc638f8e651cf0970e5f \ - --hash=sha256:3a2ce5ea4f71681623f04e2b7dadede3c7435dfb5e5e2d1d0ec25b35530e277b \ - --hash=sha256:3e892621434392199efb54e69edfff9f699f6cc36dd9553c5bf796058b14b20d \ - --hash=sha256:3fb205ab52a2e30354640780ce4587157a9563a68c9beaf52153e1cea9aa0921 \ - --hash=sha256:4689270c35d4bb3102e103ac43c3f0b76b169760aff8bcf2d401a3e0e58cdb7f \ - --hash=sha256:49f8ad582da6e8d2cf663c4ba5bf9f83cc052570a3a767487fec6af839b0e777 \ - --hash=sha256:4bd176f528a8151a6efc5359b853ba3cc0e82d4cd1fab9c1300c5d957dc8f48c \ - --hash=sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e \ - --hash=sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d \ - --hash=sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5 \ - --hash=sha256:5869e8e130e99687d9e4be835116c4ebd83ca92e52e55810962446d841aba8de \ - --hash=sha256:602a8001bdf60e1a7d544be29c82560a7b49319a0b31d62586548835bbe2c862 \ - --hash=sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7 \ - --hash=sha256:666c6fdcaac1f13eb982b649e1c311c08d7097cbda24f32612dae43648d8db8d \ - --hash=sha256:674eb520f02422546c40401f4efaf8207b5e29e420c17051cddf6c02783ff5ca \ - --hash=sha256:7ec960b1b942ee3c69323b8721df2a3ce28ff40e7ca47873ae35bfafeb4555ca \ - --hash=sha256:7f433be3b3f4c66016d5a20e5b4444ef833a1f802ced13a2d852c637f69729c1 \ - --hash=sha256:7f8fb7f5ecf4f6355683ac6881fd64b5bb2b8a60e3ccde6ff799e48791d8f864 \ - --hash=sha256:81a3a3a72c9811b56adf8bcc829b010163bb2fc308877e50e9910c9357e78521 \ - --hash=sha256:858379cbb08d84fe7583231077d9a36a1a20eb72f8c9076a45df8b083724ad1d \ - --hash=sha256:8b9ba0ccd5a7f4219e67fbbe25e6b4a46ceef783c42af7dbc1da548eb28b6531 \ - --hash=sha256:92af0d00091e744587221e79f68d617b432425a7e59328ca4c496f774a356071 \ - --hash=sha256:9ebbdbd6a046c304b1845e96fbcc5559cd296b4dfd3ad2509e33c4d9ce07d6a1 \ - --hash=sha256:9edd2856611e5050004f4722922b7b1cd6268da34102667bd49d2a2b18bafb81 \ - --hash=sha256:a353bf1f565ed27ba71a419b2cd3db9d6151da426b61b289b6ba1422a702e643 \ - --hash=sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1 \ - --hash=sha256:b90f340cb6397ec7a854157fac03f0c82b744abdd1c0941a024c3c29d1340aff \ - --hash=sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4 \ - --hash=sha256:c338ed69ad0b8f8f8920c13f529889fe0771abbb46550013e3c3d01e5174deef \ - --hash=sha256:c5a02360e73e7208a872bf65a7554c9f15df5fe063dc047f79738998b0506a14 \ - --hash=sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b \ - --hash=sha256:c812312847867b6335cfb264772f2a7e85b3b502d3a6b0586aa35e1858528ab1 \ - --hash=sha256:c943b35ecdf7123b2d81d225397efddf0bce2e81db2f3ae633ead38e85cd5ade \ - --hash=sha256:ce0a29c28dfb8eccd0f16219360530bc3cfdf6bf70ca384dacd36e6c650ef8e8 \ - --hash=sha256:cf80b550092cc480a0cbd0750e8189247ff45457e5a023305f7ef1bcec811616 \ - --hash=sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9 \ - --hash=sha256:d2c1e559d96a7f94a4f581e2a32d6d610df5840881a8cba8f25e446f4d792df3 \ - --hash=sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc \ - --hash=sha256:e28a50b5be854e18d54f75ef1bb13e1abf4bc650ab9d635e4258c58e71eb6ad5 \ - --hash=sha256:e99c625b8c95d7741fe057585176b1b8783d46ed4b8932cf98ee145c4facf499 \ - --hash=sha256:ec6f18f96b47299c11203edfbdc34e1b69085070d9a3d1f302810cc23ad36bf3 \ - --hash=sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7 \ - --hash=sha256:ee5926746232f627a3be1cc175b2cfad24d0170d520361f4ce3fa2fd83f09e1d \ - --hash=sha256:f295efcd47b6124b01255d1491f9e46f17ef40d3d7eabf7364099e463fb45f0f \ - --hash=sha256:fb0b361d73f6b8eeceba47cd37070b5e6c9de5beaeaa63a1cb35c7e1a73ef088 +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index e907ad35cae5..fe20bf45e379 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -2310,57 +2310,57 @@ openskill==6.0.0 \ --hash=sha256:eee2d0b3c1648663a480cf4680654dfd12bdc749a96d611b1904e191f2632f62 \ --hash=sha256:f89b18930c2befd580407e7cf80a480bc69c3b25d2841346be6d875c8c4bc92e # via -r release/ray_release/byod/requirements_ml_byod_3.9.in -orjson==3.9.10 \ - --hash=sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83 \ - --hash=sha256:0a73160e823151f33cdc05fe2cea557c5ef12fdf276ce29bb4f1c571c8368a60 \ - --hash=sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9 \ - --hash=sha256:1d0dc4310da8b5f6415949bd5ef937e60aeb0eb6b16f95041b5e43e6200821fb \ - --hash=sha256:2a11b4b1a8415f105d989876a19b173f6cdc89ca13855ccc67c18efbd7cbd1f8 \ - --hash=sha256:2e2ecd1d349e62e3960695214f40939bbfdcaeaaa62ccc638f8e651cf0970e5f \ - --hash=sha256:3a2ce5ea4f71681623f04e2b7dadede3c7435dfb5e5e2d1d0ec25b35530e277b \ - --hash=sha256:3e892621434392199efb54e69edfff9f699f6cc36dd9553c5bf796058b14b20d \ - --hash=sha256:3fb205ab52a2e30354640780ce4587157a9563a68c9beaf52153e1cea9aa0921 \ - --hash=sha256:4689270c35d4bb3102e103ac43c3f0b76b169760aff8bcf2d401a3e0e58cdb7f \ - --hash=sha256:49f8ad582da6e8d2cf663c4ba5bf9f83cc052570a3a767487fec6af839b0e777 \ - --hash=sha256:4bd176f528a8151a6efc5359b853ba3cc0e82d4cd1fab9c1300c5d957dc8f48c \ - --hash=sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e \ - --hash=sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d \ - --hash=sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5 \ - --hash=sha256:5869e8e130e99687d9e4be835116c4ebd83ca92e52e55810962446d841aba8de \ - --hash=sha256:602a8001bdf60e1a7d544be29c82560a7b49319a0b31d62586548835bbe2c862 \ - --hash=sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7 \ - --hash=sha256:666c6fdcaac1f13eb982b649e1c311c08d7097cbda24f32612dae43648d8db8d \ - --hash=sha256:674eb520f02422546c40401f4efaf8207b5e29e420c17051cddf6c02783ff5ca \ - --hash=sha256:7ec960b1b942ee3c69323b8721df2a3ce28ff40e7ca47873ae35bfafeb4555ca \ - --hash=sha256:7f433be3b3f4c66016d5a20e5b4444ef833a1f802ced13a2d852c637f69729c1 \ - --hash=sha256:7f8fb7f5ecf4f6355683ac6881fd64b5bb2b8a60e3ccde6ff799e48791d8f864 \ - --hash=sha256:81a3a3a72c9811b56adf8bcc829b010163bb2fc308877e50e9910c9357e78521 \ - --hash=sha256:858379cbb08d84fe7583231077d9a36a1a20eb72f8c9076a45df8b083724ad1d \ - --hash=sha256:8b9ba0ccd5a7f4219e67fbbe25e6b4a46ceef783c42af7dbc1da548eb28b6531 \ - --hash=sha256:92af0d00091e744587221e79f68d617b432425a7e59328ca4c496f774a356071 \ - --hash=sha256:9ebbdbd6a046c304b1845e96fbcc5559cd296b4dfd3ad2509e33c4d9ce07d6a1 \ - --hash=sha256:9edd2856611e5050004f4722922b7b1cd6268da34102667bd49d2a2b18bafb81 \ - --hash=sha256:a353bf1f565ed27ba71a419b2cd3db9d6151da426b61b289b6ba1422a702e643 \ - --hash=sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1 \ - --hash=sha256:b90f340cb6397ec7a854157fac03f0c82b744abdd1c0941a024c3c29d1340aff \ - --hash=sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4 \ - --hash=sha256:c338ed69ad0b8f8f8920c13f529889fe0771abbb46550013e3c3d01e5174deef \ - --hash=sha256:c5a02360e73e7208a872bf65a7554c9f15df5fe063dc047f79738998b0506a14 \ - --hash=sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b \ - --hash=sha256:c812312847867b6335cfb264772f2a7e85b3b502d3a6b0586aa35e1858528ab1 \ - --hash=sha256:c943b35ecdf7123b2d81d225397efddf0bce2e81db2f3ae633ead38e85cd5ade \ - --hash=sha256:ce0a29c28dfb8eccd0f16219360530bc3cfdf6bf70ca384dacd36e6c650ef8e8 \ - --hash=sha256:cf80b550092cc480a0cbd0750e8189247ff45457e5a023305f7ef1bcec811616 \ - --hash=sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9 \ - --hash=sha256:d2c1e559d96a7f94a4f581e2a32d6d610df5840881a8cba8f25e446f4d792df3 \ - --hash=sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc \ - --hash=sha256:e28a50b5be854e18d54f75ef1bb13e1abf4bc650ab9d635e4258c58e71eb6ad5 \ - --hash=sha256:e99c625b8c95d7741fe057585176b1b8783d46ed4b8932cf98ee145c4facf499 \ - --hash=sha256:ec6f18f96b47299c11203edfbdc34e1b69085070d9a3d1f302810cc23ad36bf3 \ - --hash=sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7 \ - --hash=sha256:ee5926746232f627a3be1cc175b2cfad24d0170d520361f4ce3fa2fd83f09e1d \ - --hash=sha256:f295efcd47b6124b01255d1491f9e46f17ef40d3d7eabf7364099e463fb45f0f \ - --hash=sha256:fb0b361d73f6b8eeceba47cd37070b5e6c9de5beaeaa63a1cb35c7e1a73ef088 +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in From e133ac51828da3c49aec5532686438afae966dbc Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 27 Aug 2025 15:21:51 -0700 Subject: [PATCH 0898/1566] [core][proto/2] move task+actor event proto to public (#56012) As title, task+actor event proto are supposed to be public. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/protobuf/BUILD.bazel | 50 ++----------------- src/ray/protobuf/events_base_event.proto | 6 +-- src/ray/protobuf/public/BUILD.bazel | 42 ++++++++++++++++ .../events_actor_task_definition_event.proto | 0 .../events_task_definition_event.proto | 0 .../events_task_execution_event.proto | 0 6 files changed, 48 insertions(+), 50 deletions(-) rename src/ray/protobuf/{ => public}/events_actor_task_definition_event.proto (100%) rename src/ray/protobuf/{ => public}/events_task_definition_event.proto (100%) rename src/ray/protobuf/{ => public}/events_task_execution_event.proto (100%) diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index f1c6bad93acf..7e89c341b679 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -443,50 +443,6 @@ cc_grpc_library( ], ) -proto_library( - name = "events_actor_task_definition_event_proto", - srcs = ["events_actor_task_definition_event.proto"], - deps = [ - ":common_proto", - ":runtime_env_common_proto", - "//src/ray/protobuf/public:runtime_environment_proto", - ], -) - -cc_proto_library( - name = "events_actor_task_definition_event_cc_proto", - deps = [":events_actor_task_definition_event_proto"], -) - -proto_library( - name = "events_task_definition_event_proto", - srcs = ["events_task_definition_event.proto"], - deps = [ - ":common_proto", - ":runtime_env_common_proto", - "//src/ray/protobuf/public:runtime_environment_proto", - ], -) - -cc_proto_library( - name = "events_task_definition_event_cc_proto", - deps = [":events_task_definition_event_proto"], -) - -proto_library( - name = "events_task_execution_event_proto", - srcs = ["events_task_execution_event.proto"], - deps = [ - ":common_proto", - "@com_google_protobuf//:timestamp_proto", - ], -) - -cc_proto_library( - name = "events_task_execution_event_cc_proto", - deps = [":events_task_execution_event_proto"], -) - proto_library( name = "events_task_profile_events_proto", srcs = ["events_task_profile_events.proto"], @@ -504,12 +460,12 @@ proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], deps = [ - ":events_actor_task_definition_event_proto", - ":events_task_definition_event_proto", - ":events_task_execution_event_proto", ":events_task_profile_events_proto", + "//src/ray/protobuf/public:events_actor_task_definition_event_proto", "//src/ray/protobuf/public:events_driver_job_definition_event_proto", "//src/ray/protobuf/public:events_driver_job_execution_event_proto", + "//src/ray/protobuf/public:events_task_definition_event_proto", + "//src/ray/protobuf/public:events_task_execution_event_proto", "@com_google_protobuf//:timestamp_proto", ], ) diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/events_base_event.proto index fab95867c473..859e498d3a10 100644 --- a/src/ray/protobuf/events_base_event.proto +++ b/src/ray/protobuf/events_base_event.proto @@ -17,10 +17,10 @@ syntax = "proto3"; package ray.rpc.events; import "google/protobuf/timestamp.proto"; -import "src/ray/protobuf/events_actor_task_definition_event.proto"; -import "src/ray/protobuf/events_task_definition_event.proto"; -import "src/ray/protobuf/events_task_execution_event.proto"; import "src/ray/protobuf/events_task_profile_events.proto"; +import "src/ray/protobuf/public/events_actor_task_definition_event.proto"; +import "src/ray/protobuf/public/events_task_definition_event.proto"; +import "src/ray/protobuf/public/events_task_execution_event.proto"; import "src/ray/protobuf/public/events_driver_job_definition_event.proto"; import "src/ray/protobuf/public/events_driver_job_execution_event.proto"; diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index dc7712fbd8e9..683e604ffffa 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -3,6 +3,48 @@ load("@rules_proto//proto:defs.bzl", "proto_library") package(default_visibility = ["//visibility:public"]) +proto_library( + name = "events_actor_task_definition_event_proto", + srcs = ["events_actor_task_definition_event.proto"], + deps = [ + ":runtime_environment_proto", + "//src/ray/protobuf:common_proto", + ], +) + +cc_proto_library( + name = "events_actor_task_definition_event_cc_proto", + deps = [":events_actor_task_definition_event_proto"], +) + +proto_library( + name = "events_task_definition_event_proto", + srcs = ["events_task_definition_event.proto"], + deps = [ + ":runtime_environment_proto", + "//src/ray/protobuf:common_proto", + ], +) + +cc_proto_library( + name = "events_task_definition_event_cc_proto", + deps = [":events_task_definition_event_proto"], +) + +proto_library( + name = "events_task_execution_event_proto", + srcs = ["events_task_execution_event.proto"], + deps = [ + "//src/ray/protobuf:common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + +cc_proto_library( + name = "events_task_execution_event_cc_proto", + deps = [":events_task_execution_event_proto"], +) + proto_library( name = "events_driver_job_definition_event_proto", srcs = ["events_driver_job_definition_event.proto"], diff --git a/src/ray/protobuf/events_actor_task_definition_event.proto b/src/ray/protobuf/public/events_actor_task_definition_event.proto similarity index 100% rename from src/ray/protobuf/events_actor_task_definition_event.proto rename to src/ray/protobuf/public/events_actor_task_definition_event.proto diff --git a/src/ray/protobuf/events_task_definition_event.proto b/src/ray/protobuf/public/events_task_definition_event.proto similarity index 100% rename from src/ray/protobuf/events_task_definition_event.proto rename to src/ray/protobuf/public/events_task_definition_event.proto diff --git a/src/ray/protobuf/events_task_execution_event.proto b/src/ray/protobuf/public/events_task_execution_event.proto similarity index 100% rename from src/ray/protobuf/events_task_execution_event.proto rename to src/ray/protobuf/public/events_task_execution_event.proto From 94a0cf516edac2bff8776b9e41a6c6e657531998 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 27 Aug 2025 15:42:41 -0700 Subject: [PATCH 0899/1566] [core] Kill copy whenever sending a retryable grpc request (#55991) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/mock/ray/rpc/worker/core_worker_client.h | 4 +- src/ray/core_worker/core_worker.cc | 23 ++- src/ray/core_worker/future_resolver.cc | 3 +- src/ray/gcs/gcs_client/accessor.cc | 162 ++++++++++-------- src/ray/gcs/gcs_client/gcs_client.cc | 7 +- .../gcs_server/tests/gcs_server_rpc_test.cc | 53 +++--- .../ownership_object_directory.cc | 2 +- .../tests/ownership_object_directory_test.cc | 2 +- .../raylet/tests/local_object_manager_test.cc | 2 +- src/ray/rpc/gcs/gcs_rpc_client.h | 12 +- src/ray/rpc/retryable_grpc_client.h | 22 +-- src/ray/rpc/worker/core_worker_client.h | 6 +- 12 files changed, 161 insertions(+), 137 deletions(-) diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index 019d4b42842c..26aed0495833 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -47,7 +47,7 @@ class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { (override)); MOCK_METHOD(void, GetObjectStatus, - (const GetObjectStatusRequest &request, + (GetObjectStatusRequest && request, const ClientCallback &callback), (override)); MOCK_METHOD(void, @@ -67,7 +67,7 @@ class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { (override)); MOCK_METHOD(void, UpdateObjectLocationBatch, - (const UpdateObjectLocationBatchRequest &request, + (UpdateObjectLocationBatchRequest && request, const ClientCallback &callback), (override)); MOCK_METHOD(void, diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 8f1b0dd9bd4f..fcac4106e5dd 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2213,17 +2213,16 @@ Status CoreWorker::CreatePlacementGroup( } const PlacementGroupID placement_group_id = PlacementGroupID::Of(GetCurrentJobId()); PlacementGroupSpecBuilder builder; - builder.SetPlacementGroupSpec( - placement_group_id, - placement_group_creation_options.name_, - placement_group_creation_options.bundles_, - placement_group_creation_options.strategy_, - placement_group_creation_options.is_detached_, - placement_group_creation_options.soft_target_node_id_, - worker_context_->GetCurrentJobID(), - worker_context_->GetCurrentActorID(), - worker_context_->CurrentActorDetached(), - placement_group_creation_options.bundle_label_selector_); + builder.SetPlacementGroupSpec(placement_group_id, + placement_group_creation_options.name_, + placement_group_creation_options.bundles_, + placement_group_creation_options.strategy_, + placement_group_creation_options.is_detached_, + placement_group_creation_options.soft_target_node_id_, + worker_context_->GetCurrentJobID(), + worker_context_->GetCurrentActorID(), + worker_context_->CurrentActorDetached(), + placement_group_creation_options.bundle_label_selector_); PlacementGroupSpecification placement_group_spec = builder.Build(); *return_placement_group_id = placement_group_id; RAY_LOG(INFO).WithField(placement_group_id) @@ -3097,7 +3096,7 @@ Status CoreWorker::ReportGeneratorItemReturns( waiter->IncrementObjectGenerated(); client->ReportGeneratorItemReturns( - request, + std::move(request), [waiter, generator_id, return_id, item_index]( const Status &status, const rpc::ReportGeneratorItemReturnsReply &reply) { RAY_LOG(DEBUG) << "ReportGeneratorItemReturns replied. " << generator_id diff --git a/src/ray/core_worker/future_resolver.cc b/src/ray/core_worker/future_resolver.cc index 3231b9595bd9..153c06a0f84f 100644 --- a/src/ray/core_worker/future_resolver.cc +++ b/src/ray/core_worker/future_resolver.cc @@ -15,6 +15,7 @@ #include "ray/core_worker/future_resolver.h" #include +#include namespace ray { namespace core { @@ -32,7 +33,7 @@ void FutureResolver::ResolveFutureAsync(const ObjectID &object_id, request.set_object_id(object_id.Binary()); request.set_owner_worker_id(owner_address.worker_id()); conn->GetObjectStatus( - request, + std::move(request), [this, object_id, owner_address](const Status &status, const rpc::GetObjectStatusReply &reply) { ProcessResolvedObject(object_id, owner_address, status, reply); diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 1656f86eabdf..75f97ea938bf 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -43,7 +43,8 @@ void JobInfoAccessor::AsyncAdd(const std::shared_ptr &data_pt rpc::AddJobRequest request; request.mutable_data()->CopyFrom(*data_ptr); client_impl_->GetGcsRpcClient().AddJob( - request, [job_id, data_ptr, callback](const Status &status, rpc::AddJobReply &&) { + std::move(request), + [job_id, data_ptr, callback](const Status &status, rpc::AddJobReply &&) { if (callback) { callback(status); } @@ -58,7 +59,8 @@ void JobInfoAccessor::AsyncMarkFinished(const JobID &job_id, rpc::MarkJobFinishedRequest request; request.set_job_id(job_id.Binary()); client_impl_->GetGcsRpcClient().MarkJobFinished( - request, [job_id, callback](const Status &status, rpc::MarkJobFinishedReply &&) { + std::move(request), + [job_id, callback](const Status &status, rpc::MarkJobFinishedReply &&) { if (callback) { callback(status); } @@ -123,7 +125,7 @@ void JobInfoAccessor::AsyncGetAll(const std::optional &job_or_submi request.set_job_or_submission_id(job_or_submission_id.value()); } client_impl_->GetGcsRpcClient().GetAllJobInfo( - request, + std::move(request), [callback](const Status &status, rpc::GetAllJobInfoReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_job_info_list()))); RAY_LOG(DEBUG) << "Finished getting all job info."; @@ -143,8 +145,8 @@ Status JobInfoAccessor::GetAll(const std::optional &job_or_submissi request.set_job_or_submission_id(job_or_submission_id.value()); } rpc::GetAllJobInfoReply reply; - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncGetAllJobInfo(request, &reply, timeout_ms)); + RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncGetAllJobInfo( + std::move(request), &reply, timeout_ms)); job_data_list = VectorFromProtobuf(std::move(*reply.mutable_job_info_list())); return Status::OK(); } @@ -153,7 +155,8 @@ void JobInfoAccessor::AsyncGetNextJobID(const ItemCallback &callback) { RAY_LOG(DEBUG) << "Getting next job id"; rpc::GetNextJobIDRequest request; client_impl_->GetGcsRpcClient().GetNextJobID( - request, [callback](const Status &status, rpc::GetNextJobIDReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetNextJobIDReply &&reply) { RAY_CHECK_OK(status); auto job_id = JobID::FromInt(reply.job_id()); RAY_LOG(DEBUG) << "Finished getting next job id = " << job_id; @@ -170,7 +173,7 @@ void ActorInfoAccessor::AsyncGet( rpc::GetActorInfoRequest request; request.set_actor_id(actor_id.Binary()); client_impl_->GetGcsRpcClient().GetActorInfo( - request, + std::move(request), [actor_id, callback](const Status &status, rpc::GetActorInfoReply &&reply) { if (reply.has_actor_table_data()) { callback(status, reply.actor_table_data()); @@ -203,7 +206,7 @@ void ActorInfoAccessor::AsyncGetAllByFilter( } client_impl_->GetGcsRpcClient().GetAllActorInfo( - request, + std::move(request), [callback](const Status &status, rpc::GetAllActorInfoReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_actor_table_data()))); @@ -222,7 +225,7 @@ void ActorInfoAccessor::AsyncGetByName( request.set_name(name); request.set_ray_namespace(ray_namespace); client_impl_->GetGcsRpcClient().GetNamedActorInfo( - request, + std::move(request), [name, callback](const Status &status, rpc::GetNamedActorInfoReply &&reply) { if (reply.has_actor_table_data()) { callback(status, reply.actor_table_data()); @@ -244,10 +247,10 @@ Status ActorInfoAccessor::SyncGetByName(const std::string &name, request.set_name(name); request.set_ray_namespace(ray_namespace); auto status = client_impl_->GetGcsRpcClient().SyncGetNamedActorInfo( - request, &reply, GetGcsTimeoutMs()); + std::move(request), &reply, GetGcsTimeoutMs()); if (status.ok()) { - actor_table_data = reply.actor_table_data(); - task_spec = reply.task_spec(); + actor_table_data = std::move(*reply.mutable_actor_table_data()); + task_spec = std::move(*reply.mutable_task_spec()); } return status; } @@ -261,14 +264,15 @@ Status ActorInfoAccessor::SyncListNamedActors( request.set_ray_namespace(ray_namespace); rpc::ListNamedActorsReply reply; auto status = client_impl_->GetGcsRpcClient().SyncListNamedActors( - request, &reply, GetGcsTimeoutMs()); + std::move(request), &reply, GetGcsTimeoutMs()); if (!status.ok()) { return status; } actors.reserve(reply.named_actors_list_size()); - for (const auto &actor_info : + for (auto &actor_info : VectorFromProtobuf(std::move(*reply.mutable_named_actors_list()))) { - actors.emplace_back(actor_info.ray_namespace(), actor_info.name()); + actors.emplace_back(std::move(*actor_info.mutable_ray_namespace()), + std::move(*actor_info.mutable_name())); } return status; } @@ -283,7 +287,7 @@ void ActorInfoAccessor::AsyncRestartActorForLineageReconstruction( request.set_num_restarts_due_to_lineage_reconstruction( num_restarts_due_to_lineage_reconstruction); client_impl_->GetGcsRpcClient().RestartActorForLineageReconstruction( - request, + std::move(request), [callback](const Status &status, rpc::RestartActorForLineageReconstructionReply &&reply) { callback(status); @@ -314,7 +318,7 @@ void ActorInfoAccessor::AsyncRegisterActor(const ray::TaskSpecification &task_sp rpc::RegisterActorRequest request; request.mutable_task_spec()->CopyFrom(task_spec.GetMessage()); client_impl_->GetGcsRpcClient().RegisterActor( - request, + std::move(request), [callback](const Status &status, rpc::RegisterActorReply &&reply) { callback(ComputeGcsStatus(status, reply.status())); }, @@ -327,7 +331,7 @@ Status ActorInfoAccessor::SyncRegisterActor(const ray::TaskSpecification &task_s rpc::RegisterActorReply reply; request.mutable_task_spec()->CopyFrom(task_spec.GetMessage()); auto status = client_impl_->GetGcsRpcClient().SyncRegisterActor( - request, &reply, GetGcsTimeoutMs()); + std::move(request), &reply, GetGcsTimeoutMs()); return ComputeGcsStatus(status, reply.status()); } @@ -341,7 +345,7 @@ void ActorInfoAccessor::AsyncKillActor(const ActorID &actor_id, request.set_force_kill(force_kill); request.set_no_restart(no_restart); client_impl_->GetGcsRpcClient().KillActorViaGcs( - request, + std::move(request), [callback](const Status &status, rpc::KillActorViaGcsReply &&reply) { if (callback) { callback(status); @@ -357,7 +361,8 @@ void ActorInfoAccessor::AsyncCreateActor( rpc::CreateActorRequest request; request.mutable_task_spec()->CopyFrom(task_spec.GetMessage()); client_impl_->GetGcsRpcClient().CreateActor( - request, [callback](const Status &status, rpc::CreateActorReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::CreateActorReply &&reply) { callback(status, std::move(reply)); }); } @@ -372,7 +377,7 @@ void ActorInfoAccessor::AsyncReportActorOutOfScope( request.set_num_restarts_due_to_lineage_reconstruction( num_restarts_due_to_lineage_reconstruction); client_impl_->GetGcsRpcClient().ReportActorOutOfScope( - request, + std::move(request), [callback](const Status &status, rpc::ReportActorOutOfScopeReply &&reply) { if (callback) { callback(status); @@ -468,7 +473,7 @@ Status NodeInfoAccessor::RegisterSelf(const rpc::GcsNodeInfo &local_node_info, rpc::RegisterNodeRequest request; request.mutable_node_info()->CopyFrom(local_node_info); client_impl_->GetGcsRpcClient().RegisterNode( - request, + std::move(request), [this, node_id, local_node_info, callback](const Status &status, rpc::RegisterNodeReply &&reply) { if (status.ok()) { @@ -498,7 +503,7 @@ void NodeInfoAccessor::UnregisterSelf(const rpc::NodeDeathInfo &node_death_info, request.set_node_id(local_node_info_.node_id()); request.mutable_node_death_info()->CopyFrom(node_death_info); client_impl_->GetGcsRpcClient().UnregisterNode( - request, + std::move(request), [this, node_id, unregister_done_callback](const Status &status, rpc::UnregisterNodeReply &&reply) { if (status.ok()) { @@ -522,7 +527,8 @@ void NodeInfoAccessor::AsyncRegister(const rpc::GcsNodeInfo &node_info, rpc::RegisterNodeRequest request; request.mutable_node_info()->CopyFrom(node_info); client_impl_->GetGcsRpcClient().RegisterNode( - request, [node_id, callback](const Status &status, rpc::RegisterNodeReply &&reply) { + std::move(request), + [node_id, callback](const Status &status, rpc::RegisterNodeReply &&reply) { if (callback) { callback(status); } @@ -557,7 +563,7 @@ void NodeInfoAccessor::AsyncCheckAlive(const std::vector &node_ids, } size_t num_raylets = node_ids.size(); client_impl_->GetGcsRpcClient().CheckAlive( - request, + std::move(request), [num_raylets, callback](const Status &status, rpc::CheckAliveReply &&reply) { if (status.ok()) { RAY_CHECK_EQ(static_cast(reply.raylet_alive().size()), num_raylets); @@ -584,8 +590,8 @@ Status NodeInfoAccessor::DrainNodes(const std::vector &node_ids, auto draining_request = request.add_drain_node_data(); draining_request->set_node_id(node_id.Binary()); } - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncDrainNode(request, &reply, timeout_ms)); + RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncDrainNode( + std::move(request), &reply, timeout_ms)); drained_node_ids.clear(); for (const auto &s : reply.drain_node_status()) { drained_node_ids.push_back(s.node_id()); @@ -602,7 +608,7 @@ void NodeInfoAccessor::AsyncGetAll(const MultiItemCallback &ca request.add_node_selectors()->set_node_id(node_id.Binary()); } client_impl_->GetGcsRpcClient().GetAllNodeInfo( - request, + std::move(request), [callback](const Status &status, rpc::GetAllNodeInfoReply &&reply) { std::vector result; result.reserve((reply.node_info_list_size())); @@ -684,8 +690,8 @@ StatusOr> NodeInfoAccessor::GetAllNoCache( *request.add_node_selectors() = std::move(node_selector.value()); } rpc::GetAllNodeInfoReply reply; - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncGetAllNodeInfo(request, &reply, timeout_ms)); + RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncGetAllNodeInfo( + std::move(request), &reply, timeout_ms)); return VectorFromProtobuf(std::move(*reply.mutable_node_info_list())); } @@ -784,7 +790,7 @@ void NodeResourceInfoAccessor::AsyncGetAllAvailableResources( const MultiItemCallback &callback) { rpc::GetAllAvailableResourcesRequest request; client_impl_->GetGcsRpcClient().GetAllAvailableResources( - request, + std::move(request), [callback](const Status &status, rpc::GetAllAvailableResourcesReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_resources_list()))); RAY_LOG(DEBUG) << "Finished getting available resources of all nodes, status = " @@ -796,7 +802,8 @@ void NodeResourceInfoAccessor::AsyncGetAllTotalResources( const MultiItemCallback &callback) { rpc::GetAllTotalResourcesRequest request; client_impl_->GetGcsRpcClient().GetAllTotalResources( - request, [callback](const Status &status, rpc::GetAllTotalResourcesReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetAllTotalResourcesReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_resources_list()))); RAY_LOG(DEBUG) << "Finished getting total resources of all nodes, status = " << status; @@ -807,7 +814,8 @@ void NodeResourceInfoAccessor::AsyncGetDrainingNodes( const ItemCallback> &callback) { rpc::GetDrainingNodesRequest request; client_impl_->GetGcsRpcClient().GetDrainingNodes( - request, [callback](const Status &status, rpc::GetDrainingNodesReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetDrainingNodesReply &&reply) { RAY_CHECK_OK(status); std::unordered_map draining_nodes; for (const auto &draining_node : reply.draining_nodes()) { @@ -832,7 +840,8 @@ void NodeResourceInfoAccessor::AsyncGetAllResourceUsage( const ItemCallback &callback) { rpc::GetAllResourceUsageRequest request; client_impl_->GetGcsRpcClient().GetAllResourceUsage( - request, [callback](const Status &status, rpc::GetAllResourceUsageReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetAllResourceUsageReply &&reply) { callback(std::move(*reply.mutable_resource_usage_data())); RAY_LOG(DEBUG) << "Finished getting resource usage of all nodes, status = " << status; @@ -843,7 +852,7 @@ Status NodeResourceInfoAccessor::GetAllResourceUsage( int64_t timeout_ms, rpc::GetAllResourceUsageReply &reply) { rpc::GetAllResourceUsageRequest request; return client_impl_->GetGcsRpcClient().SyncGetAllResourceUsage( - request, &reply, timeout_ms); + std::move(request), &reply, timeout_ms); } void TaskInfoAccessor::AsyncAddTaskEventData(std::unique_ptr data_ptr, @@ -852,7 +861,8 @@ void TaskInfoAccessor::AsyncAddTaskEventData(std::unique_ptr // Prevent copy here request.mutable_data()->Swap(data_ptr.get()); client_impl_->GetGcsRpcClient().AddTaskEventData( - request, [callback](const Status &status, rpc::AddTaskEventDataReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::AddTaskEventDataReply &&reply) { if (callback) { callback(status); } @@ -866,7 +876,8 @@ void TaskInfoAccessor::AsyncGetTaskEvents( RAY_CHECK(callback); rpc::GetTaskEventsRequest request; client_impl_->GetGcsRpcClient().GetTaskEvents( - request, [callback](const Status &status, rpc::GetTaskEventsReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetTaskEventsReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_events_by_task()))); }); } @@ -880,7 +891,8 @@ void ErrorInfoAccessor::AsyncReportJobError(rpc::ErrorTableData data) { rpc::ReportJobErrorRequest request; *request.mutable_job_error() = std::move(data); client_impl_->GetGcsRpcClient().ReportJobError( - request, [job_id](const Status &status, rpc::ReportJobErrorReply &&reply) { + std::move(request), + [job_id](const Status &status, rpc::ReportJobErrorReply &&reply) { RAY_LOG(DEBUG) << "Finished publishing job error, job id = " << job_id; }); } @@ -916,7 +928,7 @@ void WorkerInfoAccessor::AsyncReportWorkerFailure( rpc::ReportWorkerFailureRequest request; request.mutable_worker_failure()->CopyFrom(*data_ptr); client_impl_->GetGcsRpcClient().ReportWorkerFailure( - request, + std::move(request), [worker_address, callback](const Status &status, rpc::ReportWorkerFailureReply &&reply) { if (callback) { @@ -934,7 +946,7 @@ void WorkerInfoAccessor::AsyncGet( rpc::GetWorkerInfoRequest request; request.set_worker_id(worker_id.Binary()); client_impl_->GetGcsRpcClient().GetWorkerInfo( - request, + std::move(request), [worker_id, callback](const Status &status, rpc::GetWorkerInfoReply &&reply) { if (reply.has_worker_table_data()) { callback(status, reply.worker_table_data()); @@ -950,7 +962,8 @@ void WorkerInfoAccessor::AsyncGetAll( RAY_LOG(DEBUG) << "Getting all worker info."; rpc::GetAllWorkerInfoRequest request; client_impl_->GetGcsRpcClient().GetAllWorkerInfo( - request, [callback](const Status &status, rpc::GetAllWorkerInfoReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetAllWorkerInfoReply &&reply) { callback(status, VectorFromProtobuf(std::move(*reply.mutable_worker_table_data()))); RAY_LOG(DEBUG) << "Finished getting all worker info, status = " << status; @@ -962,7 +975,8 @@ void WorkerInfoAccessor::AsyncAdd(const std::shared_ptr &d rpc::AddWorkerInfoRequest request; request.mutable_worker_data()->CopyFrom(*data_ptr); client_impl_->GetGcsRpcClient().AddWorkerInfo( - request, [callback](const Status &status, rpc::AddWorkerInfoReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::AddWorkerInfoReply &&reply) { if (callback) { callback(status); } @@ -978,7 +992,7 @@ void WorkerInfoAccessor::AsyncUpdateDebuggerPort(const WorkerID &worker_id, RAY_LOG(DEBUG) << "Updating the worker debugger port, worker id = " << worker_id << ", port = " << debugger_port << "."; client_impl_->GetGcsRpcClient().UpdateWorkerDebuggerPort( - request, + std::move(request), [callback](const Status &status, rpc::UpdateWorkerDebuggerPortReply &&reply) { if (callback) { callback(status); @@ -996,7 +1010,7 @@ void WorkerInfoAccessor::AsyncUpdateWorkerNumPausedThreads( RAY_LOG(DEBUG).WithField(worker_id) << "Update the num paused threads by delta = " << num_paused_threads_delta << "."; client_impl_->GetGcsRpcClient().UpdateWorkerNumPausedThreads( - request, + std::move(request), [callback](const Status &status, rpc::UpdateWorkerNumPausedThreadsReply &&reply) { if (callback) { callback(status); @@ -1013,7 +1027,7 @@ Status PlacementGroupInfoAccessor::SyncCreatePlacementGroup( rpc::CreatePlacementGroupReply reply; request.mutable_placement_group_spec()->CopyFrom(placement_group_spec.GetMessage()); auto status = client_impl_->GetGcsRpcClient().SyncCreatePlacementGroup( - request, &reply, GetGcsTimeoutMs()); + std::move(request), &reply, GetGcsTimeoutMs()); if (status.ok()) { RAY_LOG(DEBUG).WithField(placement_group_spec.PlacementGroupId()) << "Finished registering placement group."; @@ -1030,7 +1044,7 @@ Status PlacementGroupInfoAccessor::SyncRemovePlacementGroup( rpc::RemovePlacementGroupReply reply; request.set_placement_group_id(placement_group_id.Binary()); auto status = client_impl_->GetGcsRpcClient().SyncRemovePlacementGroup( - request, &reply, GetGcsTimeoutMs()); + std::move(request), &reply, GetGcsTimeoutMs()); return status; } @@ -1041,7 +1055,7 @@ void PlacementGroupInfoAccessor::AsyncGet( rpc::GetPlacementGroupRequest request; request.set_placement_group_id(placement_group_id.Binary()); client_impl_->GetGcsRpcClient().GetPlacementGroup( - request, + std::move(request), [placement_group_id, callback](const Status &status, rpc::GetPlacementGroupReply &&reply) { if (reply.has_placement_group_table_data()) { @@ -1064,7 +1078,7 @@ void PlacementGroupInfoAccessor::AsyncGetByName( request.set_name(name); request.set_ray_namespace(ray_namespace); client_impl_->GetGcsRpcClient().GetNamedPlacementGroup( - request, + std::move(request), [name, callback](const Status &status, rpc::GetNamedPlacementGroupReply &&reply) { if (reply.has_placement_group_table_data()) { callback(status, reply.placement_group_table_data()); @@ -1082,7 +1096,8 @@ void PlacementGroupInfoAccessor::AsyncGetAll( RAY_LOG(DEBUG) << "Getting all placement group info."; rpc::GetAllPlacementGroupRequest request; client_impl_->GetGcsRpcClient().GetAllPlacementGroup( - request, [callback](const Status &status, rpc::GetAllPlacementGroupReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetAllPlacementGroupReply &&reply) { callback( status, VectorFromProtobuf(std::move(*reply.mutable_placement_group_table_data()))); @@ -1097,7 +1112,9 @@ Status PlacementGroupInfoAccessor::SyncWaitUntilReady( rpc::WaitPlacementGroupUntilReadyReply reply; request.set_placement_group_id(placement_group_id.Binary()); auto status = client_impl_->GetGcsRpcClient().SyncWaitPlacementGroupUntilReady( - request, &reply, absl::ToInt64Milliseconds(absl::Seconds(timeout_seconds))); + std::move(request), + &reply, + absl::ToInt64Milliseconds(absl::Seconds(timeout_seconds))); RAY_LOG(DEBUG).WithField(placement_group_id) << "Finished waiting placement group until ready"; return status; @@ -1115,7 +1132,7 @@ void InternalKVAccessor::AsyncInternalKVGet( req.set_key(key); req.set_namespace_(ns); client_impl_->GetGcsRpcClient().InternalKVGet( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVGetReply &&reply) { if (reply.status().code() == static_cast(StatusCode::NotFound)) { callback(status, std::nullopt); @@ -1137,7 +1154,7 @@ void InternalKVAccessor::AsyncInternalKVMultiGet( } req.set_namespace_(ns); client_impl_->GetGcsRpcClient().InternalKVMultiGet( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVMultiGetReply &&reply) { std::unordered_map map; if (!status.ok()) { @@ -1167,7 +1184,7 @@ void InternalKVAccessor::AsyncInternalKVPut(const std::string &ns, req.set_value(value); req.set_overwrite(overwrite); client_impl_->GetGcsRpcClient().InternalKVPut( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVPutReply &&reply) { callback(status, reply.added()); }, @@ -1183,7 +1200,7 @@ void InternalKVAccessor::AsyncInternalKVExists( req.set_namespace_(ns); req.set_key(key); client_impl_->GetGcsRpcClient().InternalKVExists( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVExistsReply &&reply) { callback(status, reply.exists()); }, @@ -1200,7 +1217,7 @@ void InternalKVAccessor::AsyncInternalKVDel(const std::string &ns, req.set_key(key); req.set_del_by_prefix(del_by_prefix); client_impl_->GetGcsRpcClient().InternalKVDel( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVDelReply &&reply) { callback(status, reply.deleted_num()); }, @@ -1216,7 +1233,7 @@ void InternalKVAccessor::AsyncInternalKVKeys( req.set_namespace_(ns); req.set_prefix(prefix); client_impl_->GetGcsRpcClient().InternalKVKeys( - req, + std::move(req), [callback](const Status &status, rpc::InternalKVKeysReply &&reply) { if (!status.ok()) { callback(status, std::nullopt); @@ -1348,7 +1365,8 @@ void InternalKVAccessor::AsyncGetInternalConfig( const OptionalItemCallback &callback) { rpc::GetInternalConfigRequest request; client_impl_->GetGcsRpcClient().GetInternalConfig( - request, [callback](const Status &status, rpc::GetInternalConfigReply &&reply) { + std::move(request), + [callback](const Status &status, rpc::GetInternalConfigReply &&reply) { if (status.ok()) { RAY_LOG(DEBUG) << "Fetched internal config: " << reply.config(); } else { @@ -1368,8 +1386,8 @@ Status RuntimeEnvAccessor::PinRuntimeEnvUri(const std::string &uri, request.set_uri(uri); request.set_expiration_s(expiration_s); rpc::PinRuntimeEnvURIReply reply; - auto status = - client_impl_->GetGcsRpcClient().SyncPinRuntimeEnvURI(request, &reply, timeout_ms); + auto status = client_impl_->GetGcsRpcClient().SyncPinRuntimeEnvURI( + std::move(request), &reply, timeout_ms); return status; } @@ -1396,7 +1414,7 @@ Status AutoscalerStateAccessor::RequestClusterResourceConstraint( } return client_impl_->GetGcsRpcClient().SyncRequestClusterResourceConstraint( - request, &reply, timeout_ms); + std::move(request), &reply, timeout_ms); } Status AutoscalerStateAccessor::GetClusterResourceState(int64_t timeout_ms, @@ -1405,7 +1423,7 @@ Status AutoscalerStateAccessor::GetClusterResourceState(int64_t timeout_ms, rpc::autoscaler::GetClusterResourceStateReply reply; RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncGetClusterResourceState( - request, &reply, timeout_ms)); + std::move(request), &reply, timeout_ms)); if (!reply.SerializeToString(&serialized_reply)) { return Status::IOError("Failed to serialize GetClusterResourceState"); @@ -1418,8 +1436,8 @@ Status AutoscalerStateAccessor::GetClusterStatus(int64_t timeout_ms, rpc::autoscaler::GetClusterStatusRequest request; rpc::autoscaler::GetClusterStatusReply reply; - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncGetClusterStatus(request, &reply, timeout_ms)); + RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncGetClusterStatus( + std::move(request), &reply, timeout_ms)); if (!reply.SerializeToString(&serialized_reply)) { return Status::IOError("Failed to serialize GetClusterStatusReply"); @@ -1432,7 +1450,7 @@ void AutoscalerStateAccessor::AsyncGetClusterStatus( const OptionalItemCallback &callback) { rpc::autoscaler::GetClusterStatusRequest request; client_impl_->GetGcsRpcClient().GetClusterStatus( - request, + std::move(request), [callback](const Status &status, rpc::autoscaler::GetClusterStatusReply &&reply) { if (!status.ok()) { callback(status, std::nullopt); @@ -1452,7 +1470,7 @@ Status AutoscalerStateAccessor::ReportAutoscalingState( return Status::IOError("Failed to parse ReportAutoscalingState"); } return client_impl_->GetGcsRpcClient().SyncReportAutoscalingState( - request, &reply, timeout_ms); + std::move(request), &reply, timeout_ms); } Status AutoscalerStateAccessor::ReportClusterConfig( @@ -1464,7 +1482,7 @@ Status AutoscalerStateAccessor::ReportClusterConfig( return Status::IOError("Failed to parse ClusterConfig"); } return client_impl_->GetGcsRpcClient().SyncReportClusterConfig( - request, &reply, timeout_ms); + std::move(request), &reply, timeout_ms); } Status AutoscalerStateAccessor::DrainNode(const std::string &node_id, @@ -1482,8 +1500,8 @@ Status AutoscalerStateAccessor::DrainNode(const std::string &node_id, rpc::autoscaler::DrainNodeReply reply; - RAY_RETURN_NOT_OK( - client_impl_->GetGcsRpcClient().SyncDrainNode(request, &reply, timeout_ms)); + RAY_RETURN_NOT_OK(client_impl_->GetGcsRpcClient().SyncDrainNode( + std::move(request), &reply, timeout_ms)); is_accepted = reply.is_accepted(); if (!is_accepted) { @@ -1504,7 +1522,8 @@ Status PublisherAccessor::PublishError(std::string key_id, pub_message->set_key_id(std::move(key_id)); *(pub_message->mutable_error_info_message()) = std::move(data); rpc::GcsPublishReply reply; - return client_impl_->GetGcsRpcClient().SyncGcsPublish(request, &reply, timeout_ms); + return client_impl_->GetGcsRpcClient().SyncGcsPublish( + std::move(request), &reply, timeout_ms); } Status PublisherAccessor::PublishLogs(std::string key_id, @@ -1516,7 +1535,8 @@ Status PublisherAccessor::PublishLogs(std::string key_id, pub_message->set_key_id(std::move(key_id)); *(pub_message->mutable_log_batch_message()) = std::move(data); rpc::GcsPublishReply reply; - return client_impl_->GetGcsRpcClient().SyncGcsPublish(request, &reply, timeout_ms); + return client_impl_->GetGcsRpcClient().SyncGcsPublish( + std::move(request), &reply, timeout_ms); } void PublisherAccessor::AsyncPublishNodeResourceUsage( @@ -1530,7 +1550,7 @@ void PublisherAccessor::AsyncPublishNodeResourceUsage( pub_message->mutable_node_resource_usage_message()->set_json( std::move(node_resource_usage_json)); client_impl_->GetGcsRpcClient().GcsPublish( - request, + std::move(request), [done](const Status &status, rpc::GcsPublishReply &&reply) { done(status); }); } diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs/gcs_client/gcs_client.cc index b5d3b1f2bf4f..43d960e0bdf9 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs/gcs_client/gcs_client.cc @@ -58,7 +58,8 @@ void GcsSubscriberClient::PubsubLongPolling( req.set_max_processed_sequence_id(request.max_processed_sequence_id()); req.set_publisher_id(request.publisher_id()); rpc_client_->GcsSubscriberPoll( - req, [callback](const Status &status, rpc::GcsSubscriberPollReply &&poll_reply) { + std::move(req), + [callback](const Status &status, rpc::GcsSubscriberPollReply &&poll_reply) { rpc::PubsubLongPollingReply reply; reply.mutable_pub_messages()->Swap(poll_reply.mutable_pub_messages()); *reply.mutable_publisher_id() = std::move(*poll_reply.mutable_publisher_id()); @@ -73,7 +74,7 @@ void GcsSubscriberClient::PubsubCommandBatch( req.set_subscriber_id(request.subscriber_id()); *req.mutable_commands() = request.commands(); rpc_client_->GcsSubscriberCommandBatch( - req, + std::move(req), [callback](const Status &status, rpc::GcsSubscriberCommandBatchReply &&batch_reply) { rpc::PubsubCommandBatchReply reply; @@ -177,7 +178,7 @@ Status GcsClient::FetchClusterId(int64_t timeout_ms) { rpc::GetClusterIdReply reply; RAY_LOG(DEBUG) << "Cluster ID is nil, getting cluster ID from GCS server."; - Status s = gcs_rpc_client_->SyncGetClusterId(request, &reply, timeout_ms); + Status s = gcs_rpc_client_->SyncGetClusterId(std::move(request), &reply, timeout_ms); if (!s.ok()) { RAY_LOG(WARNING) << "Failed to get cluster ID from GCS server: " << s; gcs_rpc_client_.reset(); diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc index 81798c28be7d..2df5c2681201 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc @@ -69,9 +69,9 @@ class GcsServerTest : public ::testing::Test { rpc::ResetServerCallExecutor(); } - bool AddJob(const rpc::AddJobRequest &request) { + bool AddJob(rpc::AddJobRequest request) { std::promise promise; - client_->AddJob(request, + client_->AddJob(std::move(request), [&promise](const Status &status, const rpc::AddJobReply &reply) { RAY_CHECK_OK(status); promise.set_value(true); @@ -79,10 +79,10 @@ class GcsServerTest : public ::testing::Test { return WaitReady(promise.get_future(), timeout_ms_); } - bool MarkJobFinished(const rpc::MarkJobFinishedRequest &request) { + bool MarkJobFinished(rpc::MarkJobFinishedRequest request) { std::promise promise; client_->MarkJobFinished( - request, + std::move(request), [&promise](const Status &status, const rpc::MarkJobFinishedReply &reply) { RAY_CHECK_OK(status); promise.set_value(true); @@ -95,7 +95,7 @@ class GcsServerTest : public ::testing::Test { request.set_actor_id(actor_id); std::optional actor_table_data_opt; std::promise promise; - client_->GetActorInfo(request, + client_->GetActorInfo(std::move(request), [&actor_table_data_opt, &promise]( const Status &status, const rpc::GetActorInfoReply &reply) { RAY_CHECK_OK(status); @@ -110,10 +110,11 @@ class GcsServerTest : public ::testing::Test { return actor_table_data_opt; } - bool RegisterNode(const rpc::RegisterNodeRequest &request) { + bool RegisterNode(rpc::RegisterNodeRequest request) { std::promise promise; client_->RegisterNode( - request, [&promise](const Status &status, const rpc::RegisterNodeReply &reply) { + std::move(request), + [&promise](const Status &status, const rpc::RegisterNodeReply &reply) { RAY_CHECK_OK(status); promise.set_value(true); }); @@ -121,10 +122,11 @@ class GcsServerTest : public ::testing::Test { return WaitReady(promise.get_future(), timeout_ms_); } - bool UnregisterNode(const rpc::UnregisterNodeRequest &request) { + bool UnregisterNode(rpc::UnregisterNodeRequest request) { std::promise promise; client_->UnregisterNode( - request, [&promise](const Status &status, const rpc::UnregisterNodeReply &reply) { + std::move(request), + [&promise](const Status &status, const rpc::UnregisterNodeReply &reply) { RAY_CHECK_OK(status); promise.set_value(true); }); @@ -137,7 +139,7 @@ class GcsServerTest : public ::testing::Test { rpc::GetAllNodeInfoRequest request; std::promise promise; client_->GetAllNodeInfo( - request, + std::move(request), [&node_info_list, &promise](const Status &status, const rpc::GetAllNodeInfoReply &reply) { RAY_CHECK_OK(status); @@ -150,10 +152,10 @@ class GcsServerTest : public ::testing::Test { return node_info_list; } - bool ReportWorkerFailure(const rpc::ReportWorkerFailureRequest &request) { + bool ReportWorkerFailure(rpc::ReportWorkerFailureRequest request) { std::promise promise; client_->ReportWorkerFailure( - request, + std::move(request), [&promise](const Status &status, const rpc::ReportWorkerFailureReply &reply) { RAY_CHECK_OK(status); promise.set_value(status.ok()); @@ -167,7 +169,7 @@ class GcsServerTest : public ::testing::Test { std::optional worker_table_data_opt; std::promise promise; client_->GetWorkerInfo( - request, + std::move(request), [&worker_table_data_opt, &promise](const Status &status, const rpc::GetWorkerInfoReply &reply) { RAY_CHECK_OK(status); @@ -187,7 +189,7 @@ class GcsServerTest : public ::testing::Test { rpc::GetAllWorkerInfoRequest request; std::promise promise; client_->GetAllWorkerInfo( - request, + std::move(request), [&worker_table_data, &promise](const Status &status, const rpc::GetAllWorkerInfoReply &reply) { RAY_CHECK_OK(status); @@ -200,10 +202,11 @@ class GcsServerTest : public ::testing::Test { return worker_table_data; } - bool AddWorkerInfo(const rpc::AddWorkerInfoRequest &request) { + bool AddWorkerInfo(rpc::AddWorkerInfoRequest request) { std::promise promise; client_->AddWorkerInfo( - request, [&promise](const Status &status, const rpc::AddWorkerInfoReply &reply) { + std::move(request), + [&promise](const Status &status, const rpc::AddWorkerInfoReply &reply) { RAY_CHECK_OK(status); promise.set_value(true); }); @@ -330,7 +333,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { // Get all rpc::GetAllNodeInfoRequest request; rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 3); ASSERT_EQ(reply.num_filtered(), 0); @@ -342,7 +345,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_id(node1->node_id()); request.add_node_selectors()->set_node_id(node2->node_id()); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 2); ASSERT_EQ(reply.num_filtered(), 1); @@ -353,7 +356,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { rpc::GetAllNodeInfoRequest request; request.set_state_filter(rpc::GcsNodeInfo::ALIVE); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 2); ASSERT_EQ(reply.num_filtered(), 1); @@ -365,7 +368,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { rpc::GetAllNodeInfoRequest request; request.set_state_filter(rpc::GcsNodeInfo::DEAD); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 1); ASSERT_EQ(reply.num_filtered(), 2); @@ -378,7 +381,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_name("node1"); request.add_node_selectors()->set_node_name("node2"); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 2); ASSERT_EQ(reply.num_filtered(), 1); @@ -391,7 +394,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_ip_address("127.0.0.1"); request.add_node_selectors()->set_node_ip_address("127.0.0.2"); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 2); ASSERT_EQ(reply.num_filtered(), 1); @@ -404,7 +407,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_id(node1->node_id()); request.add_node_selectors()->set_node_name("node2"); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 2); ASSERT_EQ(reply.num_filtered(), 1); ASSERT_EQ(reply.total(), 3); @@ -417,7 +420,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_id(node3->node_id()); request.set_state_filter(rpc::GcsNodeInfo::ALIVE); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 1); ASSERT_EQ(reply.num_filtered(), 2); ASSERT_EQ(reply.total(), 3); @@ -430,7 +433,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { request.add_node_selectors()->set_node_name("node3"); request.set_state_filter(rpc::GcsNodeInfo::DEAD); rpc::GetAllNodeInfoReply reply; - RAY_CHECK_OK(client_->SyncGetAllNodeInfo(request, &reply)); + RAY_CHECK_OK(client_->SyncGetAllNodeInfo(std::move(request), &reply)); ASSERT_EQ(reply.node_info_list_size(), 1); ASSERT_EQ(reply.num_filtered(), 2); ASSERT_EQ(reply.total(), 3); diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 3e3d958f5a17..dfa9615b6679 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -246,7 +246,7 @@ void OwnershipBasedObjectDirectory::SendObjectLocationUpdateBatchIfNeeded( in_flight_requests_.emplace(worker_id); auto owner_client = GetClient(owner_address); owner_client->UpdateObjectLocationBatch( - request, + std::move(request), [this, worker_id, node_id, owner_address]( const Status &status, const rpc::UpdateObjectLocationBatchReply &reply) { RAY_CHECK(in_flight_requests_.erase(worker_id) > 0); diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index 4156ed167954..1d152f0aadba 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -37,7 +37,7 @@ using ::testing::Return; class MockWorkerClient : public rpc::CoreWorkerClientInterface { public: void UpdateObjectLocationBatch( - const rpc::UpdateObjectLocationBatchRequest &request, + rpc::UpdateObjectLocationBatchRequest &&request, const rpc::ClientCallback &callback) override { const auto &worker_id = WorkerID::FromBinary(request.intended_worker_id()); const auto &object_location_updates = request.object_location_updates(); diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index a5d7192e69b4..9fd1fe7e2490 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -107,7 +107,7 @@ class MockSubscriber : public pubsub::SubscriberInterface { class MockWorkerClient : public rpc::CoreWorkerClientInterface { public: void UpdateObjectLocationBatch( - const rpc::UpdateObjectLocationBatchRequest &request, + rpc::UpdateObjectLocationBatchRequest &&request, const rpc::ClientCallback &callback) override { for (const auto &object_location_update : request.object_location_updates()) { ASSERT_TRUE(object_location_update.has_spilled_location_update()); diff --git a/src/ray/rpc/gcs/gcs_rpc_client.h b/src/ray/rpc/gcs/gcs_rpc_client.h index cd804f1fac41..17f023e3c116 100644 --- a/src/ray/rpc/gcs/gcs_rpc_client.h +++ b/src/ray/rpc/gcs/gcs_rpc_client.h @@ -88,7 +88,7 @@ namespace rpc { method_timeout_ms, \ handle_payload_status, \ SPECS) \ - void METHOD(const METHOD_NAMESPACE::METHOD##Request &request, \ + void METHOD(METHOD_NAMESPACE::METHOD##Request &&request, \ const ClientCallback &callback, \ const int64_t timeout_ms = method_timeout_ms) SPECS { \ invoke_async_method promise; \ METHOD( \ - request, \ + std::move(request), \ [&promise, reply_in](const Status &status, \ const METHOD_NAMESPACE::METHOD##Reply &reply) { \ reply_in->CopyFrom(reply); \ @@ -223,14 +223,14 @@ class GcsRpcClient { PrepareAsyncFunction prepare_async_function, std::shared_ptr> grpc_client, const std::string &call_name, - const Request &request, + Request &&request, const ClientCallback &callback, const int64_t timeout_ms) { retryable_grpc_client_->template CallMethod( prepare_async_function, std::move(grpc_client), call_name, - request, + std::forward(request), [callback](const Status &status, Reply &&reply) { if (status.ok()) { if constexpr (handle_payload_status) { diff --git a/src/ray/rpc/retryable_grpc_client.h b/src/ray/rpc/retryable_grpc_client.h index 6bb6df4477f5..6e7558d118fb 100644 --- a/src/ray/rpc/retryable_grpc_client.h +++ b/src/ray/rpc/retryable_grpc_client.h @@ -32,17 +32,17 @@ namespace ray::rpc { // Define a void retryable RPC client method. -#define VOID_RETRYABLE_RPC_CLIENT_METHOD( \ - retryable_rpc_client, SERVICE, METHOD, rpc_client, method_timeout_ms, SPECS) \ - void METHOD(const METHOD##Request &request, \ - const ClientCallback &callback) SPECS { \ - retryable_rpc_client->CallMethod( \ - &SERVICE::Stub::PrepareAsync##METHOD, \ - rpc_client, \ - #SERVICE ".grpc_client." #METHOD, \ - request, \ - callback, \ - method_timeout_ms); \ +#define VOID_RETRYABLE_RPC_CLIENT_METHOD( \ + retryable_rpc_client, SERVICE, METHOD, rpc_client, method_timeout_ms, SPECS) \ + void METHOD(METHOD##Request &&request, const ClientCallback &callback) \ + SPECS { \ + retryable_rpc_client->CallMethod( \ + &SERVICE::Stub::PrepareAsync##METHOD, \ + rpc_client, \ + #SERVICE ".grpc_client." #METHOD, \ + std::move(request), \ + callback, \ + method_timeout_ms); \ } /** diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 341f07e9786a..0f099dd3e86e 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -109,7 +109,7 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const ClientCallback &callback) {} /// Ask the owner of an object about the object's current status. - virtual void GetObjectStatus(const GetObjectStatusRequest &request, + virtual void GetObjectStatus(GetObjectStatusRequest &&request, const ClientCallback &callback) {} /// Ask the actor's owner to reply when the actor has no references. @@ -128,7 +128,7 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const ClientCallback &callback) {} virtual void UpdateObjectLocationBatch( - const UpdateObjectLocationBatchRequest &request, + UpdateObjectLocationBatchRequest &&request, const ClientCallback &callback) {} virtual void GetObjectLocationsOwner( @@ -136,7 +136,7 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const ClientCallback &callback) {} virtual void ReportGeneratorItemReturns( - const ReportGeneratorItemReturnsRequest &request, + ReportGeneratorItemReturnsRequest &&request, const ClientCallback &callback) {} /// Tell this actor to exit immediately. From 271b11675d65b5741532ebd99eb351518139f469 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 27 Aug 2025 15:53:57 -0700 Subject: [PATCH 0900/1566] [data] dedupe schemas (#55854) ## Why are these changes needed? results: TBD - 2180 columns, 1000 schemas deduping is 1 second ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Alexey Kudinkin Co-authored-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/air/util/object_extensions/arrow.py | 3 +++ python/ray/air/util/tensor_extensions/arrow.py | 8 ++++++++ .../data/_internal/arrow_ops/transform_pyarrow.py | 8 ++++++++ .../_internal/execution/interfaces/ref_bundle.py | 7 +++++++ python/ray/data/tests/test_transform_pyarrow.py | 12 ------------ 5 files changed, 26 insertions(+), 12 deletions(-) diff --git a/python/ray/air/util/object_extensions/arrow.py b/python/ray/air/util/object_extensions/arrow.py index 180fcfc96367..b7e2e569c61b 100644 --- a/python/ray/air/util/object_extensions/arrow.py +++ b/python/ray/air/util/object_extensions/arrow.py @@ -71,6 +71,9 @@ def __reduce__(self): self.__arrow_ext_serialize__(), ) + def __hash__(self) -> int: + return hash((type(self), self.storage_type.id, self.extension_name)) + @PublicAPI(stability="alpha") class ArrowPythonObjectScalar(pa.ExtensionScalar): diff --git a/python/ray/air/util/tensor_extensions/arrow.py b/python/ray/air/util/tensor_extensions/arrow.py index be0a88c83bb8..0c1772b46d78 100644 --- a/python/ray/air/util/tensor_extensions/arrow.py +++ b/python/ray/air/util/tensor_extensions/arrow.py @@ -574,6 +574,9 @@ def _need_variable_shaped_tensor_array( shape = arr_type.shape return False + def __hash__(self) -> int: + return hash((type(self), self.extension_name, self.storage_type, self._shape)) + @PublicAPI(stability="beta") class ArrowTensorType(_BaseFixedShapeArrowTensorType): @@ -584,6 +587,7 @@ class ArrowTensorType(_BaseFixedShapeArrowTensorType): """ OFFSET_DTYPE = np.int32 + __hash__ = _BaseFixedShapeArrowTensorType.__hash__ def __init__(self, shape: Tuple[int, ...], dtype: pa.DataType): """ @@ -614,6 +618,7 @@ class ArrowTensorTypeV2(_BaseFixedShapeArrowTensorType): """Arrow ExtensionType (v2) for tensors (supporting tensors > 4Gb).""" OFFSET_DTYPE = np.int64 + __hash__ = _BaseFixedShapeArrowTensorType.__hash__ def __init__(self, shape: Tuple[int, ...], dtype: pa.DataType): """ @@ -1125,6 +1130,9 @@ def _extension_scalar_to_ndarray(self, scalar: "pa.ExtensionScalar") -> np.ndarr data_buffer = raw_values.buffers()[1] return _to_ndarray_helper(shape, value_type, offset, data_buffer) + def __hash__(self) -> int: + return hash((type(self), self.extension_name, self.storage_type, self._ndim)) + # NOTE: We need to inherit from the mixin before pa.ExtensionArray to ensure that the # mixin's overriding methods appear first in the MRO. diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index b97cf4d641c6..453ba23e4e08 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -179,6 +179,14 @@ def unify_schemas( ArrowVariableShapedTensorType, ) + try: + if len(set(schemas)) == 1: + # Early exit because unifying can be expensive + return schemas[0] + except Exception as e: + # Unsure if there are cases where schemas are NOT hashable + logger.warning(f"Failed to hash the schemas (for deduplication): {e}") + schemas_to_unify = [] schema_field_overrides = {} diff --git a/python/ray/data/_internal/execution/interfaces/ref_bundle.py b/python/ray/data/_internal/execution/interfaces/ref_bundle.py index 50c905803d2a..310acf160b07 100644 --- a/python/ray/data/_internal/execution/interfaces/ref_bundle.py +++ b/python/ray/data/_internal/execution/interfaces/ref_bundle.py @@ -63,6 +63,13 @@ def __post_init__(self): "The size in bytes of the block must be known: {}".format(b) ) + import pyarrow as pa + + # The schema metadata might be unhashable. + # We need schemas to be hashable for unification + if isinstance(self.schema, pa.lib.Schema): + self.schema = self.schema.remove_metadata() + def __setattr__(self, key, value): if hasattr(self, key) and key in ["blocks", "owns_blocks"]: raise ValueError(f"The `{key}` field of RefBundle cannot be updated.") diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index 2d0ba5f2f75c..9c253e4ea4d0 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -603,12 +603,6 @@ def test_unify_schemas_object_types(unify_schemas_object_types_schemas): assert result == schemas["expected"] -def test_unify_schemas_duplicate_fields(unify_schemas_duplicate_fields_schema): - """Test error handling for duplicate field names.""" - with pytest.raises(ValueError, match="has multiple fields with the same name"): - unify_schemas([unify_schemas_duplicate_fields_schema]) - - @pytest.mark.skipif( get_pyarrow_version() < parse_version("17.0.0"), reason="Requires PyArrow version 17 or higher", @@ -2788,12 +2782,6 @@ def unify_schemas_object_types_schemas(): } -@pytest.fixture -def unify_schemas_duplicate_fields_schema(): - """Fixture for duplicate fields unify schemas test data.""" - return pa.schema([("col", pa.int32()), ("col", pa.int64())]) # Duplicate name - - @pytest.fixture def unify_schemas_incompatible_tensor_schemas(): """Fixture for incompatible tensor dtypes unify schemas test data.""" From 78d0c3a4c808a08ce7dd04e76cebcc856461b39c Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 27 Aug 2025 15:58:30 -0700 Subject: [PATCH 0901/1566] [release] Add option to filter test by name prefix (#55670) - This filter test func can now use either or both of name prefix filter or regex filter. If both are used at the same time, test matches either of the filter is accepted --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/ray_release/buildkite/filter.py | 28 +++-- release/ray_release/buildkite/settings.py | 36 +++--- release/ray_release/scripts/build_pipeline.py | 6 +- release/ray_release/tests/test_buildkite.py | 110 +++++++++++------- 4 files changed, 105 insertions(+), 75 deletions(-) diff --git a/release/ray_release/buildkite/filter.py b/release/ray_release/buildkite/filter.py index 727b0711896e..c2685f124918 100644 --- a/release/ray_release/buildkite/filter.py +++ b/release/ray_release/buildkite/filter.py @@ -22,28 +22,38 @@ def _unflattened_lookup(lookup: Dict, flat_key: str, delimiter: str = "/") -> An def filter_tests( test_collection: List[Test], frequency: Frequency, - test_attr_regex_filters: Optional[Dict[str, str]] = None, + test_filters: Optional[Dict[str, str]] = None, prefer_smoke_tests: bool = False, run_jailed_tests: bool = False, run_unstable_tests: bool = False, ) -> List[Tuple[Test, bool]]: - if test_attr_regex_filters is None: - test_attr_regex_filters = {} + if test_filters is None: + test_filters = {} tests_to_run = [] for test in test_collection: + attr_mismatch = False # Skip kuberay tests for now. # TODO: (khluu) Remove this once we start running KubeRay release tests. if test.is_kuberay() and get_global_config()["kuberay_disabled"]: continue - # First, filter by string attributes - attr_mismatch = False - for attr, regex in test_attr_regex_filters.items(): - if not re.fullmatch(regex, _unflattened_lookup(test, attr) or ""): - attr_mismatch = True - break + + # Check if any test attributes match filters + if test_filters: + for attr, value in test_filters.items(): + # Only prefix filter doesn't use regex + if attr == "prefix": + if not test.get_name().startswith(value): + attr_mismatch = True + break + else: # Match filters using regex + attr_value = _unflattened_lookup(test, attr) or "" + if not re.fullmatch(value, attr_value): + attr_mismatch = True + break if attr_mismatch: continue + if not run_jailed_tests: clone_test = copy.deepcopy(test) clone_test.update_from_s3() diff --git a/release/ray_release/buildkite/settings.py b/release/ray_release/buildkite/settings.py index 17ab6f9db657..07cfbd70fcf2 100644 --- a/release/ray_release/buildkite/settings.py +++ b/release/ray_release/buildkite/settings.py @@ -63,11 +63,11 @@ def get_priority(priority_str: str) -> Priority: return priority_str_to_enum[priority_str] -def get_test_attr_regex_filters(filters_str: str) -> Dict[str, str]: +def get_test_filters(filters_str: str) -> Dict[str, str]: if not filters_str: return {} - test_attr_regex_filters = {} + test_filters = {} for line in filters_str.splitlines(): line = line.strip() if not line: @@ -75,11 +75,10 @@ def get_test_attr_regex_filters(filters_str: str) -> Dict[str, str]: parts = line.split(":", maxsplit=1) if len(parts) != 2: raise ReleaseTestConfigError( - f"Invalid test attr regex filter: {line}. " - "Should be of the form attr:regex" + f"Invalid test filter: {line}. " "Should be of the form attr:value" ) - test_attr_regex_filters[parts[0]] = parts[1] - return test_attr_regex_filters + test_filters[parts[0]] = parts[1] + return test_filters def split_ray_repo_str(repo_str: str) -> Tuple[str, str]: @@ -127,7 +126,7 @@ def get_default_settings() -> Dict: settings = { "frequency": Frequency.ANY, "prefer_smoke_tests": False, - "test_attr_regex_filters": None, + "test_filters": None, "ray_test_repo": None, "ray_test_branch": None, "priority": Priority.DEFAULT, @@ -158,12 +157,13 @@ def update_settings_from_environment(settings: Dict) -> Dict: if "TEST_NAME" in os.environ: # This is for backward compatibility. - settings["test_attr_regex_filters"] = get_test_attr_regex_filters( - "name:" + os.environ["TEST_NAME"] - ) + settings["test_filters"] = get_test_filters("name:" + os.environ["TEST_NAME"]) + + if "TEST_FILTERS" in os.environ: + settings["test_filters"] = os.environ["TEST_FILTERS"] if "TEST_ATTR_REGEX_FILTERS" in os.environ: - settings["test_attr_regex_filters"] = get_test_attr_regex_filters( + settings["test_filters"] = get_test_filters( os.environ["TEST_ATTR_REGEX_FILTERS"] ) @@ -191,17 +191,11 @@ def update_settings_from_buildkite(settings: Dict): test_name_filter = get_buildkite_prompt_value("release-test-name") if test_name_filter: - settings["test_attr_regex_filters"] = get_test_attr_regex_filters( - "name:" + test_name_filter - ) + settings["test_filters"] = get_test_filters("name:" + test_name_filter) - test_attr_regex_filters = get_buildkite_prompt_value( - "release-test-attr-regex-filters" - ) - if test_attr_regex_filters: - settings["test_attr_regex_filters"] = get_test_attr_regex_filters( - test_attr_regex_filters - ) + test_filters = get_buildkite_prompt_value("release-test-filters") + if test_filters: + settings["test_filters"] = get_test_filters(test_filters) test_priority = get_buildkite_prompt_value("release-priority") if test_priority: diff --git a/release/ray_release/scripts/build_pipeline.py b/release/ray_release/scripts/build_pipeline.py index 5c6cc5b5998f..4cf21864da0a 100644 --- a/release/ray_release/scripts/build_pipeline.py +++ b/release/ray_release/scripts/build_pipeline.py @@ -78,14 +78,14 @@ def main( env = {} frequency = settings["frequency"] prefer_smoke_tests = settings["prefer_smoke_tests"] - test_attr_regex_filters = settings["test_attr_regex_filters"] + test_filters = settings["test_filters"] priority = settings["priority"] logger.info( f"Found the following buildkite pipeline settings:\n\n" f" frequency = {settings['frequency']}\n" f" prefer_smoke_tests = {settings['prefer_smoke_tests']}\n" - f" test_attr_regex_filters = {settings['test_attr_regex_filters']}\n" + f" test_filters = {settings['test_filters']}\n" f" ray_test_repo = {settings['ray_test_repo']}\n" f" ray_test_branch = {settings['ray_test_branch']}\n" f" priority = {settings['priority']}\n" @@ -110,7 +110,7 @@ def main( filtered_tests = filter_tests( test_collection, frequency=frequency, - test_attr_regex_filters=test_attr_regex_filters, + test_filters=test_filters, prefer_smoke_tests=prefer_smoke_tests, run_jailed_tests=run_jailed_tests, run_unstable_tests=run_unstable_tests, diff --git a/release/ray_release/tests/test_buildkite.py b/release/ray_release/tests/test_buildkite.py index 79e709cfb434..08128ee3c8f0 100644 --- a/release/ray_release/tests/test_buildkite.py +++ b/release/ray_release/tests/test_buildkite.py @@ -20,7 +20,7 @@ Frequency, update_settings_from_buildkite, Priority, - get_test_attr_regex_filters, + get_test_filters, ) from ray_release.buildkite.step import ( get_step, @@ -110,23 +110,23 @@ def testSplitRayRepoStr(self): self.assertEqual(branch, DEFAULT_BRANCH) def testGetTestAttrRegexFilters(self): - test_attr_regex_filters = get_test_attr_regex_filters("") - self.assertDictEqual(test_attr_regex_filters, {}) + test_filters = get_test_filters("") + self.assertDictEqual(test_filters, {}) - test_attr_regex_filters = get_test_attr_regex_filters("name:xxx") - self.assertDictEqual(test_attr_regex_filters, {"name": "xxx"}) + test_filters = get_test_filters("name:xxx") + self.assertDictEqual(test_filters, {"name": "xxx"}) - test_attr_regex_filters = get_test_attr_regex_filters("name:xxx\n") - self.assertDictEqual(test_attr_regex_filters, {"name": "xxx"}) + test_filters = get_test_filters("name:xxx\n") + self.assertDictEqual(test_filters, {"name": "xxx"}) - test_attr_regex_filters = get_test_attr_regex_filters("name:xxx\n\nteam:yyy") - self.assertDictEqual(test_attr_regex_filters, {"name": "xxx", "team": "yyy"}) + test_filters = get_test_filters("name:xxx\n\nteam:yyy") + self.assertDictEqual(test_filters, {"name": "xxx", "team": "yyy"}) - test_attr_regex_filters = get_test_attr_regex_filters("name:xxx\n \nteam:yyy\n") - self.assertDictEqual(test_attr_regex_filters, {"name": "xxx", "team": "yyy"}) + test_filters = get_test_filters("name:xxx\n \nteam:yyy\n") + self.assertDictEqual(test_filters, {"name": "xxx", "team": "yyy"}) with self.assertRaises(ReleaseTestConfigError): - get_test_attr_regex_filters("xxx") + get_test_filters("xxx") def testSettingsOverrideEnv(self): settings = get_default_settings() @@ -168,8 +168,9 @@ def testSettingsOverrideEnv(self): os.environ["TEST_ATTR_REGEX_FILTERS"] = "name:xxx\nteam:yyy\n" updated_settings = settings.copy() update_settings_from_environment(updated_settings) + print(updated_settings) self.assertDictEqual( - updated_settings["test_attr_regex_filters"], + updated_settings["test_filters"], { "name": "xxx", "team": "yyy", @@ -191,7 +192,7 @@ def testSettingsOverrideEnv(self): { "frequency": Frequency.NIGHTLY, "prefer_smoke_tests": False, - "test_attr_regex_filters": {"name": "name_filter"}, + "test_filters": {"name": "name_filter"}, "ray_test_repo": "https://github.com/user/ray.git", "ray_test_branch": "sub/branch", "priority": Priority.MANUAL, @@ -206,7 +207,7 @@ def testSettingsOverrideEnv(self): { "frequency": Frequency.ANY, "prefer_smoke_tests": True, - "test_attr_regex_filters": {"name": "name_filter"}, + "test_filters": {"name": "name_filter"}, "ray_test_repo": "https://github.com/user/ray.git", "ray_test_branch": "sub/branch", "priority": Priority.MANUAL, @@ -321,18 +322,18 @@ def testSettingsOverrideBuildkite(self): # Invalid test attr regex filters self.buildkite.clear() self.buildkite.update(buildkite) - self.buildkite["release-test-attr-regex-filters"] = "xxxx" + self.buildkite["release-test-filters"] = "xxxx" updated_settings = settings.copy() with self.assertRaises(ReleaseTestConfigError): update_settings_from_buildkite(updated_settings) self.buildkite.clear() self.buildkite.update(buildkite) - self.buildkite["release-test-attr-regex-filters"] = "name:xxx\ngroup:yyy" + self.buildkite["release-test-filters"] = "name:xxx\ngroup:yyy" updated_settings = settings.copy() update_settings_from_buildkite(updated_settings) self.assertDictEqual( - updated_settings["test_attr_regex_filters"], + updated_settings["test_filters"], { "name": "xxx", "group": "yyy", @@ -353,7 +354,7 @@ def testSettingsOverrideBuildkite(self): { "frequency": Frequency.NIGHTLY, "prefer_smoke_tests": False, - "test_attr_regex_filters": {"name": "name_filter"}, + "test_filters": {"name": "name_filter"}, "ray_test_repo": "https://github.com/user/ray.git", "ray_test_branch": "sub/branch", "priority": Priority.MANUAL, @@ -369,7 +370,7 @@ def testSettingsOverrideBuildkite(self): { "frequency": Frequency.ANY, "prefer_smoke_tests": True, - "test_attr_regex_filters": {"name": "name_filter"}, + "test_filters": {"name": "name_filter"}, "ray_test_repo": "https://github.com/user/ray.git", "ray_test_branch": "sub/branch", "priority": Priority.MANUAL, @@ -377,7 +378,7 @@ def testSettingsOverrideBuildkite(self): }, ) - def _filter_names_smoke(self, *args, **kwargs): + def _filter_names(self, *args, **kwargs): filtered = filter_tests(*args, **kwargs) return [(t[0]["name"], t[1]) for t in filtered] @@ -429,7 +430,32 @@ def testFilterTests(self, *args): ), ] - filtered = self._filter_names_smoke(tests, frequency=Frequency.ANY) + # Test filter by prefix alone + filtered = self._filter_names( + tests, frequency=Frequency.ANY, test_filters={"prefix": "test"} + ) + self.assertSequenceEqual( + filtered, + [ + ("test_1", False), + ("test_2", False), + ("test_3", False), + ("test_4.kuberay", False), + ], + ) + + # Test filter by prefix and regex together + filtered = self._filter_names( + tests, + frequency=Frequency.NIGHTLY, + test_filters={"prefix": "test", "name": "other.*"}, + ) + self.assertSequenceEqual( + filtered, + [], + ) + + filtered = self._filter_names(tests, frequency=Frequency.ANY) self.assertSequenceEqual( filtered, [ @@ -444,7 +470,7 @@ def testFilterTests(self, *args): ) assert not test.get("update_from_s3") - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.ANY, prefer_smoke_tests=True, @@ -462,7 +488,7 @@ def testFilterTests(self, *args): ], ) - filtered = self._filter_names_smoke(tests, frequency=Frequency.NIGHTLY) + filtered = self._filter_names(tests, frequency=Frequency.NIGHTLY) self.assertSequenceEqual( filtered, [ @@ -474,7 +500,7 @@ def testFilterTests(self, *args): ], ) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, prefer_smoke_tests=True, @@ -490,13 +516,13 @@ def testFilterTests(self, *args): ], ) - filtered = self._filter_names_smoke(tests, frequency=Frequency.WEEKLY) + filtered = self._filter_names(tests, frequency=Frequency.WEEKLY) self.assertSequenceEqual(filtered, [("test_2", False), ("other_1", False)]) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, - test_attr_regex_filters={"name": "other.*"}, + test_filters={"name": "other.*"}, ) self.assertSequenceEqual( filtered, @@ -505,10 +531,10 @@ def testFilterTests(self, *args): ], ) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, - test_attr_regex_filters={"name": "test.*"}, + test_filters={"name": "test.*"}, ) self.assertSequenceEqual( filtered, @@ -520,46 +546,46 @@ def testFilterTests(self, *args): ], ) - filtered = self._filter_names_smoke( - tests, frequency=Frequency.NIGHTLY, test_attr_regex_filters={"name": "test"} + filtered = self._filter_names( + tests, frequency=Frequency.NIGHTLY, test_filters={"name": "test"} ) self.assertSequenceEqual(filtered, []) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, - test_attr_regex_filters={"name": "test.*", "team": "team_1"}, + test_filters={"name": "test.*", "team": "team_1"}, ) self.assertSequenceEqual(filtered, [("test_1", False)]) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, - test_attr_regex_filters={"name": "test_1|test_2"}, + test_filters={"name": "test_1|test_2"}, ) self.assertSequenceEqual(filtered, [("test_1", False), ("test_2", True)]) # Filter by nested properties - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.ANY, - test_attr_regex_filters={"run/type": "job"}, + test_filters={"run/type": "job"}, ) self.assertSequenceEqual( filtered, [("test_1", False), ("other_2", False), ("test_4.kuberay", False)] ) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.ANY, - test_attr_regex_filters={"run/type": "client"}, + test_filters={"run/type": "client"}, ) self.assertSequenceEqual(filtered, [("test_2", False)]) - filtered = self._filter_names_smoke( + filtered = self._filter_names( tests, frequency=Frequency.ANY, - test_attr_regex_filters={"run/invalid": "xxx"}, + test_filters={"run/invalid": "xxx"}, ) self.assertSequenceEqual(filtered, []) From adccc7e3d72512445cdc0eb8dac068ee20b18b06 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 27 Aug 2025 16:04:03 -0700 Subject: [PATCH 0902/1566] [image] move release wanda yaml files to docker/ (#55959) out of `ci/docker`, so that they are closer to the related `Dockerfile` and build contexts. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 24 +++++++++---------- .buildkite/linux_aarch64.rayci.yml | 8 +++---- .buildkite/release/build.rayci.yml | 8 +++---- ci/pipeline/test_rules.txt | 4 ---- .../base-deps/cpu.wanda.yaml | 0 .../base-deps/cuda.wanda.yaml | 0 .../base-extra-testdeps/cpu.wanda.yaml | 0 .../base-extra-testdeps/cuda.wanda.yaml | 0 .../base-extra/cpu.wanda.yaml | 0 .../base-extra/cuda.wanda.yaml | 0 .../base-slim/cpu.wanda.yaml | 0 .../base-slim/cuda.wanda.yaml | 0 .../ray-llm/cuda.wanda.yaml | 0 .../ray-ml/cpu.wanda.yaml | 0 .../ray-ml/cuda.wanda.yaml | 0 15 files changed, 20 insertions(+), 24 deletions(-) rename ci/docker/ray.cpu.base.wanda.yaml => docker/base-deps/cpu.wanda.yaml (100%) rename ci/docker/ray.cuda.base.wanda.yaml => docker/base-deps/cuda.wanda.yaml (100%) rename ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml => docker/base-extra-testdeps/cpu.wanda.yaml (100%) rename ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml => docker/base-extra-testdeps/cuda.wanda.yaml (100%) rename ci/docker/ray.cpu.base-extra.wanda.yaml => docker/base-extra/cpu.wanda.yaml (100%) rename ci/docker/ray.cuda.base-extra.wanda.yaml => docker/base-extra/cuda.wanda.yaml (100%) rename ci/docker/ray-slim.cpu.base.wanda.yaml => docker/base-slim/cpu.wanda.yaml (100%) rename ci/docker/ray-slim.cuda.base.wanda.yaml => docker/base-slim/cuda.wanda.yaml (100%) rename ci/docker/ray-llm.base.wanda.yaml => docker/ray-llm/cuda.wanda.yaml (100%) rename ci/docker/ray-ml.cpu.base.wanda.yaml => docker/ray-ml/cpu.wanda.yaml (100%) rename ci/docker/ray-ml.cuda.base.wanda.yaml => docker/ray-ml/cuda.wanda.yaml (100%) diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 97acc658cc5a..220f556651f7 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -12,7 +12,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray.cpu.base.wanda.yaml + wanda: docker/base-deps/cpu.wanda.yaml matrix: - "3.9" - "3.10" @@ -24,7 +24,7 @@ steps: - name: raycpubaseextra label: "wanda: ray.py{{matrix}}.cpu.base-extra" - wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + wanda: docker/base-extra/cpu.wanda.yaml matrix: - "3.9" - "3.10" @@ -41,7 +41,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray.cuda.base.wanda.yaml + wanda: docker/base-deps/cuda.wanda.yaml matrix: setup: python: @@ -65,7 +65,7 @@ steps: - name: raycudabaseextra label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: python: @@ -94,7 +94,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray-llm.base.wanda.yaml + wanda: docker/ray-llm/cuda.wanda.yaml depends_on: raycudabase matrix: setup: @@ -108,7 +108,7 @@ steps: - name: ray-llmbaseextra label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: python: @@ -127,7 +127,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray-ml.cuda.base.wanda.yaml + wanda: docker/ray-ml/cuda.wanda.yaml depends_on: raycudabase matrix: setup: @@ -143,7 +143,7 @@ steps: - name: ray-mlcudabaseextra label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: python: @@ -164,7 +164,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray-ml.cpu.base.wanda.yaml + wanda: docker/ray-ml/cpu.wanda.yaml depends_on: raycpubase matrix: - "3.9" @@ -175,7 +175,7 @@ steps: - name: ray-mlcpubaseextra label: "wanda: ray-ml.py{{matrix}}.cpu.base-extra" - wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + wanda: docker/base-extra/cpu.wanda.yaml matrix: - "3.9" - "3.10" @@ -191,7 +191,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray-slim.cpu.base.wanda.yaml + wanda: docker/base-slim/cpu.wanda.yaml depends_on: raycpubase matrix: - "3.9" @@ -207,7 +207,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray-slim.cuda.base.wanda.yaml + wanda: docker/base-slim/cuda.wanda.yaml depends_on: raycudabase matrix: setup: diff --git a/.buildkite/linux_aarch64.rayci.yml b/.buildkite/linux_aarch64.rayci.yml index 91bab540ab12..14c397b3d9db 100644 --- a/.buildkite/linux_aarch64.rayci.yml +++ b/.buildkite/linux_aarch64.rayci.yml @@ -18,7 +18,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray.cpu.base.wanda.yaml + wanda: docker/base-deps/cpu.wanda.yaml matrix: - "3.9" - "3.10" @@ -31,7 +31,7 @@ steps: - name: raycpubaseextra-aarch64 label: "wanda: ray.py{{matrix}}.cpu.base-extra (aarch64)" - wanda: ci/docker/ray.cpu.base-extra.wanda.yaml + wanda: docker/base-extra/cpu.wanda.yaml matrix: - "3.9" - "3.10" @@ -49,7 +49,7 @@ steps: tags: - python_dependencies - docker - wanda: ci/docker/ray.cuda.base.wanda.yaml + wanda: docker/base-deps/cuda.wanda.yaml matrix: setup: python: @@ -74,7 +74,7 @@ steps: - name: raycudabaseextra-aarch64 label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra (aarch64)" - wanda: ci/docker/ray.cuda.base-extra.wanda.yaml + wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: python: diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index 1a9137189753..9c7a816c6eae 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -2,7 +2,7 @@ group: release build steps: - name: raycpubaseextra-testdeps label: "wanda: ray.py{{matrix}}.cpu.base-extra-testdeps" - wanda: ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml + wanda: docker/base-extra-testdeps/cpu.wanda.yaml matrix: - "3.9" - "3.11" @@ -16,7 +16,7 @@ steps: - name: raycudabaseextra-testdeps label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra-testdeps" - wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + wanda: docker/base-extra-testdeps/cuda.wanda.yaml matrix: setup: python: @@ -35,7 +35,7 @@ steps: - name: ray-llmbaseextra-testdeps label: "wanda: ray.py{{matrix.python}}.llm.base-extra-testdeps (cuda {{matrix.cuda}})" - wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + wanda: docker/base-extra-testdeps/cuda.wanda.yaml matrix: setup: python: @@ -52,7 +52,7 @@ steps: - name: ray-mlcudabaseextra-testdeps label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.ml.base-extra-testdeps" - wanda: ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml + wanda: docker/base-extra-testdeps/cuda.wanda.yaml matrix: setup: python: diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index 1e3246f2a8bc..f19d274cfee0 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -203,10 +203,6 @@ ci/docker/forge.aarch64.wanda.yaml ci/docker/manylinux.Dockerfile ci/docker/manylinux.wanda.yaml ci/docker/manylinux.aarch64.wanda.yaml -ci/docker/ray.cpu.base.wanda.yaml -ci/docker/ray.cpu.base.aarch64.wanda.yaml -ci/docker/ray.cuda.base.wanda.yaml -ci/docker/ray.cuda.base.aarch64.wanda.yaml ci/docker/windows.build.Dockerfile ci/docker/windows.build.wanda.yaml build-docker.sh diff --git a/ci/docker/ray.cpu.base.wanda.yaml b/docker/base-deps/cpu.wanda.yaml similarity index 100% rename from ci/docker/ray.cpu.base.wanda.yaml rename to docker/base-deps/cpu.wanda.yaml diff --git a/ci/docker/ray.cuda.base.wanda.yaml b/docker/base-deps/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray.cuda.base.wanda.yaml rename to docker/base-deps/cuda.wanda.yaml diff --git a/ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml b/docker/base-extra-testdeps/cpu.wanda.yaml similarity index 100% rename from ci/docker/ray.cpu.base-extra-testdeps.wanda.yaml rename to docker/base-extra-testdeps/cpu.wanda.yaml diff --git a/ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml b/docker/base-extra-testdeps/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray.cuda.base-extra-testdeps.wanda.yaml rename to docker/base-extra-testdeps/cuda.wanda.yaml diff --git a/ci/docker/ray.cpu.base-extra.wanda.yaml b/docker/base-extra/cpu.wanda.yaml similarity index 100% rename from ci/docker/ray.cpu.base-extra.wanda.yaml rename to docker/base-extra/cpu.wanda.yaml diff --git a/ci/docker/ray.cuda.base-extra.wanda.yaml b/docker/base-extra/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray.cuda.base-extra.wanda.yaml rename to docker/base-extra/cuda.wanda.yaml diff --git a/ci/docker/ray-slim.cpu.base.wanda.yaml b/docker/base-slim/cpu.wanda.yaml similarity index 100% rename from ci/docker/ray-slim.cpu.base.wanda.yaml rename to docker/base-slim/cpu.wanda.yaml diff --git a/ci/docker/ray-slim.cuda.base.wanda.yaml b/docker/base-slim/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray-slim.cuda.base.wanda.yaml rename to docker/base-slim/cuda.wanda.yaml diff --git a/ci/docker/ray-llm.base.wanda.yaml b/docker/ray-llm/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray-llm.base.wanda.yaml rename to docker/ray-llm/cuda.wanda.yaml diff --git a/ci/docker/ray-ml.cpu.base.wanda.yaml b/docker/ray-ml/cpu.wanda.yaml similarity index 100% rename from ci/docker/ray-ml.cpu.base.wanda.yaml rename to docker/ray-ml/cpu.wanda.yaml diff --git a/ci/docker/ray-ml.cuda.base.wanda.yaml b/docker/ray-ml/cuda.wanda.yaml similarity index 100% rename from ci/docker/ray-ml.cuda.base.wanda.yaml rename to docker/ray-ml/cuda.wanda.yaml From 82157954ad0d4283f14813978ef464a58f4560c2 Mon Sep 17 00:00:00 2001 From: Kai-Hsun Chen Date: Wed, 27 Aug 2025 16:05:39 -0700 Subject: [PATCH 0903/1566] =?UTF-8?q?[core][gpu-objects]=20tensor=5Ftransp?= =?UTF-8?q?ort=20doesn=E2=80=99t=20transfer=20correctly=20when=20the=20arg?= =?UTF-8?q?ument=20is=20not=20inlined=20(#55876)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Step 1: Call an actor method to create an object ref. ```python ref = sender.produce.remote() ``` * `TaskManager::AddPendingTask`: Adds `tensor_transport` from the task spec to the object ref. * `submit_actor_task` calls VectorToObjectRefs to convert `CObjectReference` (C++) into an `ObjectRef` (Python). We also pass `tensor_transport` to the `ObjectRef`. * Step 2: Pass the GPU object ref from the driver to the receiver actor ```python receiver.consume.remote(ref) ``` * Driver calls `prepare_args_internal` to convert an `ObjectRef` (Python) into a `CTaskArgByReference` (C++). * The `TaskArgByReference` constructor converts an integer into `rpc::TensorTransport`. * `SubmitActorTask` -> `BuildCommonTaskSpec` -> `AddArg` -> `arg.ToProto` * `TaskArgByReference::ToProto` sets `tensor_transport` in `TaskArgByReference` into the gRPC message. * Step 3: Receiver actor * Pass `tensor_transport` from `message ObjectReference` to `message TaskArg`. * `deserialize_objects`: use `tensor_transport` from the object ref instead of Ray objects in some cases. Closes #54281 --------- Signed-off-by: kaihsun Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pxd | 3 +++ python/ray/_raylet.pyx | 20 ++++++++++++---- python/ray/includes/common.pxd | 7 +++++- python/ray/includes/object_ref.pxi | 10 ++++++-- python/ray/tests/test_gpu_objects_gloo.py | 23 +++++++++++++++++++ src/ray/common/task/task_util.h | 15 ++++++++---- src/ray/core_worker/task_manager.cc | 1 + .../task_submission/dependency_resolver.cc | 3 +++ src/ray/protobuf/common.proto | 3 +++ 9 files changed, 73 insertions(+), 12 deletions(-) diff --git a/python/ray/_raylet.pxd b/python/ray/_raylet.pxd index a45f127a3291..89ef3261db2a 100644 --- a/python/ray/_raylet.pxd +++ b/python/ray/_raylet.pxd @@ -110,9 +110,12 @@ cdef class ObjectRef(BaseID): # it up. c_bool in_core_worker c_string call_site_data + int tensor_transport_val cdef CObjectID native(self) + cdef CTensorTransport c_tensor_transport(self) + cdef class ActorID(BaseID): cdef CActorID data diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index fdd0dea05c72..4b4ce13e0205 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -598,7 +598,7 @@ class SerializedRayObject(NamedTuple): cdef RayObjectsToSerializedRayObjects( - const c_vector[shared_ptr[CRayObject]] objects): + const c_vector[shared_ptr[CRayObject]] objects, object_refs: Optional[List[ObjectRef]] = None): serialized_ray_objects = [] for i in range(objects.size()): # core_worker will return a nullptr for objects that couldn't be @@ -614,6 +614,11 @@ cdef RayObjectsToSerializedRayObjects( metadata = Buffer.make( objects[i].get().GetMetadata()).to_pybytes() tensor_transport = TensorTransportEnum((objects[i].get().GetTensorTransport())) + if ( + tensor_transport == TensorTransportEnum.OBJECT_STORE + and object_refs is not None + ): + tensor_transport = TensorTransportEnum(object_refs[i].tensor_transport()) serialized_ray_objects.append(SerializedRayObject(data, metadata, tensor_transport)) return serialized_ray_objects @@ -622,11 +627,13 @@ cdef VectorToObjectRefs(const c_vector[CObjectReference] &object_refs, skip_adding_local_ref): result = [] for i in range(object_refs.size()): + tensor_transport_val = object_refs[i].tensor_transport() result.append(ObjectRef( object_refs[i].object_id(), object_refs[i].owner_address().SerializeAsString(), object_refs[i].call_site(), - skip_adding_local_ref=skip_adding_local_ref)) + skip_adding_local_ref=skip_adding_local_ref, + tensor_transport_val=tensor_transport_val)) return result @@ -937,11 +944,13 @@ cdef prepare_args_internal( op_status = CCoreWorkerProcess.GetCoreWorker().GetOwnerAddress( c_arg, &c_owner_address) check_status(op_status) + c_tensor_transport = (arg).c_tensor_transport() args_vector.push_back( unique_ptr[CTaskArg](new CTaskArgByReference( c_arg, c_owner_address, - arg.call_site()))) + arg.call_site(), + c_tensor_transport))) else: try: @@ -998,7 +1007,8 @@ cdef prepare_args_internal( new CTaskArgByReference( put_id, CCoreWorkerProcess.GetCoreWorker().GetRpcAddress(), - put_arg_call_site + put_arg_call_site, + TENSOR_TRANSPORT_OBJECT_STORE ))) incremented_put_arg_ids.push_back(put_id) @@ -1882,10 +1892,10 @@ cdef void execute_task( if c_args.empty(): args, kwargs = [], {} else: - metadata_pairs = RayObjectsToSerializedRayObjects(c_args) object_refs = VectorToObjectRefs( c_arg_refs, skip_adding_local_ref=False) + metadata_pairs = RayObjectsToSerializedRayObjects(c_args, object_refs) if core_worker.current_actor_is_asyncio(): # We deserialize objects in event loop thread to # prevent segfaults. See #7799 diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 6e50fd8ae35d..d15612e6dd20 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -204,6 +204,7 @@ cdef extern from "src/ray/protobuf/common.pb.h" nogil: CAddress owner_address() const const c_string &object_id() const const c_string &call_site() const + CTensorTransport tensor_transport() const cdef cppclass CNodeLabelSchedulingStrategy "ray::rpc::NodeLabelSchedulingStrategy": # noqa: E501 CNodeLabelSchedulingStrategy() CLabelMatchExpressions* mutable_hard() @@ -263,6 +264,9 @@ cdef extern from "src/ray/protobuf/common.pb.h" nogil: cdef extern from "src/ray/protobuf/common.pb.h" nogil: cdef CTensorTransport TENSOR_TRANSPORT_OBJECT_STORE "ray::rpc::TensorTransport::OBJECT_STORE" + cdef CTensorTransport TENSOR_TRANSPORT_NCCL "ray::rpc::TensorTransport::NCCL" + cdef CTensorTransport TENSOR_TRANSPORT_GLOO "ray::rpc::TensorTransport::GLOO" + cdef CTensorTransport TENSOR_TRANSPORT_NIXL "ray::rpc::TensorTransport::NIXL" cdef extern from "src/ray/protobuf/common.pb.h" nogil: cdef CPlacementStrategy PLACEMENT_STRATEGY_PACK \ @@ -318,7 +322,8 @@ cdef extern from "ray/core_worker/common.h" nogil: cdef cppclass CTaskArgByReference "ray::TaskArgByReference": CTaskArgByReference(const CObjectID &object_id, const CAddress &owner_address, - const c_string &call_site) + const c_string &call_site, + const CTensorTransport &tensor_transport) cdef cppclass CTaskArgByValue "ray::TaskArgByValue": CTaskArgByValue(const shared_ptr[CRayObject] &data) diff --git a/python/ray/includes/object_ref.pxi b/python/ray/includes/object_ref.pxi index f447c9aaa0ce..829ec790c4cf 100644 --- a/python/ray/includes/object_ref.pxi +++ b/python/ray/includes/object_ref.pxi @@ -40,12 +40,12 @@ cdef class ObjectRef(BaseID): def __init__( self, id, owner_addr="", call_site_data="", - skip_adding_local_ref=False): + skip_adding_local_ref=False, tensor_transport_val=0): self._set_id(id) self.owner_addr = owner_addr self.in_core_worker = False self.call_site_data = call_site_data - + self.tensor_transport_val = tensor_transport_val worker = ray._private.worker.global_worker # TODO(edoakes): We should be able to remove the in_core_worker flag. # But there are still some dummy object refs being created outside the @@ -152,3 +152,9 @@ cdef class ObjectRef(BaseID): core_worker = ray._private.worker.global_worker.core_worker core_worker.set_get_async_callback(self, py_callback) return self + + def tensor_transport(self): + return self.tensor_transport_val + + cdef CTensorTransport c_tensor_transport(self): + return self.tensor_transport_val diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 4b01babd9a69..c15b05e2ade6 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -388,6 +388,29 @@ def test_mix_cpu_gpu_data(ray_start_regular): tensor = torch.randn((1,)) cpu_data = random.randint(0, 100) + + data = [tensor, cpu_data] + + sender, receiver = actors[0], actors[1] + ref = sender.echo.remote(data) + ref = receiver.double.remote(ref) + result = ray.get(ref) + + assert result[0] == pytest.approx(tensor * 2) + assert result[1] == cpu_data * 2 + + +def test_object_in_plasma(ray_start_regular): + """ + This test uses a CPU object that is large enough to be stored + in plasma instead of being inlined in the gRPC message. + """ + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + tensor = torch.randn((1,)) + cpu_data = b"1" * 1000 * 1000 data = [tensor, cpu_data] sender, receiver = actors[0], actors[1] diff --git a/src/ray/common/task/task_util.h b/src/ray/common/task/task_util.h index 5779cd2ca3f2..265aed3fb51e 100644 --- a/src/ray/common/task/task_util.h +++ b/src/ray/common/task/task_util.h @@ -56,16 +56,22 @@ class TaskArgByReference : public TaskArg { /// /// \param[in] object_id Id of the argument. /// \return The task argument. - TaskArgByReference(const ObjectID &object_id, - const rpc::Address &owner_address, - const std::string &call_site) - : id_(object_id), owner_address_(owner_address), call_site_(call_site) {} + TaskArgByReference( + const ObjectID &object_id, + const rpc::Address &owner_address, + const std::string &call_site, + const rpc::TensorTransport &tensor_transport = rpc::TensorTransport::OBJECT_STORE) + : id_(object_id), + owner_address_(owner_address), + call_site_(call_site), + tensor_transport_(tensor_transport) {} void ToProto(rpc::TaskArg *arg_proto) const { auto ref = arg_proto->mutable_object_ref(); ref->set_object_id(id_.Binary()); ref->mutable_owner_address()->CopyFrom(owner_address_); ref->set_call_site(call_site_); + ref->set_tensor_transport(tensor_transport_); } private: @@ -73,6 +79,7 @@ class TaskArgByReference : public TaskArg { const ObjectID id_; const rpc::Address owner_address_; const std::string call_site_; + const rpc::TensorTransport tensor_transport_; }; class TaskArgByValue : public TaskArg { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 75f84cd21ad4..56aa59d5b495 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -277,6 +277,7 @@ std::vector TaskManager::AddPendingTask( ref.set_object_id(return_object_id.Binary()); ref.mutable_owner_address()->CopyFrom(caller_address); ref.set_call_site(call_site); + ref.set_tensor_transport(spec.TensorTransport()); // Register the callback to free the GPU object when it is out of scope. auto tensor_transport = reference_counter_.GetTensorTransport(return_object_id); diff --git a/src/ray/core_worker/task_submission/dependency_resolver.cc b/src/ray/core_worker/task_submission/dependency_resolver.cc index be99c9ddacb7..3b3c521cb8d1 100644 --- a/src/ray/core_worker/task_submission/dependency_resolver.cc +++ b/src/ray/core_worker/task_submission/dependency_resolver.cc @@ -77,6 +77,9 @@ void InlineDependencies( mutable_arg->add_nested_inlined_refs()->CopyFrom(nested_ref); contained_ids->push_back(ObjectID::FromBinary(nested_ref.object_id())); } + } else { + auto tensor_transport = mutable_arg->object_ref().tensor_transport(); + mutable_arg->set_tensor_transport(tensor_transport); } found++; } diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 56dc85bb7020..84d91cf599b9 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -671,6 +671,9 @@ message ObjectReference { // Used to print debugging information if there is an error retrieving the // object. string call_site = 3; + // The tensor transport to use for this object. If not specified, then use the + // default object store. + optional TensorTransport tensor_transport = 4; } message ObjectReferenceCount { From df91f9540bac1212e0f622648ee5c824fe6f1499 Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Wed, 27 Aug 2025 16:22:46 -0700 Subject: [PATCH 0904/1566] Add error_type to job failures (#55578) ## Why are these changes needed? Error type enums are useful as they are statically known values that should not contain sensitive information. The status message is dynamic and could contain sensitive pointers to logs or code and may be a field that should be hidden from others. This re-uses the existing error_type field and fills it in in all known error scenarios. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/job/common.py | 37 ++++++++++++++-- .../ray/dashboard/modules/job/job_manager.py | 8 +++- .../dashboard/modules/job/job_supervisor.py | 4 +- .../modules/job/tests/test_common.py | 5 ++- .../modules/job/tests/test_job_manager.py | 44 ++++++++++++++----- python/ray/job_submission/__init__.py | 3 +- 6 files changed, 83 insertions(+), 18 deletions(-) diff --git a/python/ray/dashboard/modules/job/common.py b/python/ray/dashboard/modules/job/common.py index 9b543cd049d2..ee55cb78de13 100644 --- a/python/ray/dashboard/modules/job/common.py +++ b/python/ray/dashboard/modules/job/common.py @@ -66,6 +66,26 @@ def is_terminal(self) -> bool: return self.value in {"STOPPED", "SUCCEEDED", "FAILED"} +@PublicAPI(stability="stable") +class JobErrorType(str, Enum): + """An enumeration for describing the error type of a job.""" + + # Runtime environment failed to be set up + RUNTIME_ENV_SETUP_FAILURE = "RUNTIME_ENV_SETUP_FAILURE" + # Job supervisor actor launched, but job failed to start within timeout + JOB_SUPERVISOR_ACTOR_START_TIMEOUT = "JOB_SUPERVISOR_ACTOR_START_TIMEOUT" + # Job supervisor actor failed to start + JOB_SUPERVISOR_ACTOR_START_FAILURE = "JOB_SUPERVISOR_ACTOR_START_FAILURE" + # Job supervisor actor failed to be scheduled + JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE = "JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE" + # Job supervisor actor failed for unknown exception + JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE = "JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE" + # Job driver script failed to start due to exception + JOB_ENTRYPOINT_COMMAND_START_ERROR = "JOB_ENTRYPOINT_COMMAND_START_ERROR" + # Job driver script failed due to non-zero exit code + JOB_ENTRYPOINT_COMMAND_ERROR = "JOB_ENTRYPOINT_COMMAND_ERROR" + + # TODO(aguo): Convert to pydantic model @PublicAPI(stability="stable") @dataclass @@ -81,9 +101,8 @@ class JobInfo: entrypoint: str #: A message describing the status in more detail. message: Optional[str] = None - # TODO(architkulkarni): Populate this field with e.g. Runtime env setup failure, #: Internal error, user script error - error_type: Optional[str] = None + error_type: Optional[JobErrorType] = None #: The time when the job was started. A Unix timestamp in ms. start_time: Optional[int] = None #: The time when the job moved into a terminal state. A Unix timestamp in ms. @@ -157,6 +176,9 @@ def to_json(self) -> Dict[str, Any]: # Convert enum values to strings. json_dict["status"] = str(json_dict["status"]) + json_dict["error_type"] = ( + json_dict["error_type"].value if json_dict.get("error_type") else None + ) # Convert runtime_env to a JSON-serialized string. if "runtime_env" in json_dict: @@ -181,6 +203,11 @@ def from_json(cls, json_dict: Dict[str, Any]) -> None: """ # Convert enum values to enum objects. json_dict["status"] = JobStatus(json_dict["status"]) + json_dict["error_type"] = ( + JobErrorType(json_dict["error_type"]) + if json_dict.get("error_type") + else None + ) # Convert runtime_env from a JSON-serialized string to a dictionary. if "runtime_env_json" in json_dict: @@ -322,6 +349,7 @@ async def put_status( status: JobStatus, message: Optional[str] = None, driver_exit_code: Optional[int] = None, + error_type: Optional[JobErrorType] = None, jobinfo_replace_kwargs: Optional[Dict[str, Any]] = None, ): """Puts or updates job status. Sets end_time if status is terminal.""" @@ -331,7 +359,10 @@ async def put_status( if jobinfo_replace_kwargs is None: jobinfo_replace_kwargs = dict() jobinfo_replace_kwargs.update( - status=status, message=message, driver_exit_code=driver_exit_code + status=status, + message=message, + driver_exit_code=driver_exit_code, + error_type=error_type, ) if old_info is not None: if status != old_info.status and old_info.status.is_terminal(): diff --git a/python/ray/dashboard/modules/job/job_manager.py b/python/ray/dashboard/modules/job/job_manager.py index 5479757ea1cd..8c3a13690768 100644 --- a/python/ray/dashboard/modules/job/job_manager.py +++ b/python/ray/dashboard/modules/job/job_manager.py @@ -33,7 +33,7 @@ from ray.dashboard.modules.job.utils import get_head_node_id from ray.dashboard.utils import close_logger_file_descriptor from ray.exceptions import ActorUnschedulableError, RuntimeEnvSetupError -from ray.job_submission import JobStatus +from ray.job_submission import JobStatus, JobErrorType from ray.runtime_env import RuntimeEnvConfig from ray.util.scheduling_strategies import ( NodeAffinitySchedulingStrategy, @@ -208,6 +208,7 @@ async def _monitor_job_internal( job_id, JobStatus.FAILED, message=err_msg, + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_TIMEOUT, ) is_alive = False logger.error(err_msg) @@ -234,6 +235,7 @@ async def _monitor_job_internal( "Unexpected error occurred: " "failed to get job supervisor." ), + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_FAILURE, ) is_alive = False continue @@ -264,6 +266,7 @@ async def _monitor_job_internal( job_id, job_status, message=job_error_message, + error_type=JobErrorType.RUNTIME_ENV_SETUP_FAILURE, ) elif isinstance(e, ActorUnschedulableError): logger.info( @@ -277,6 +280,7 @@ async def _monitor_job_internal( job_id, JobStatus.FAILED, message=job_error_message, + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE, ) else: logger.warning( @@ -288,6 +292,7 @@ async def _monitor_job_internal( job_id, job_status, message=job_error_message, + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, ) # Log error message to the job driver file for easy access. @@ -575,6 +580,7 @@ async def submit_job( f"Failed to start supervisor actor {submission_id}: '{e}'" f". Full traceback:\n{tb_str}" ), + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_FAILURE, ) finally: close_logger_file_descriptor(driver_logger) diff --git a/python/ray/dashboard/modules/job/job_supervisor.py b/python/ray/dashboard/modules/job/job_supervisor.py index 9b9536a4129e..1ffaad752f9c 100644 --- a/python/ray/dashboard/modules/job/job_supervisor.py +++ b/python/ray/dashboard/modules/job/job_supervisor.py @@ -24,7 +24,7 @@ JobInfoStorageClient, ) from ray.dashboard.modules.job.job_log_storage_client import JobLogStorageClient -from ray.job_submission import JobStatus +from ray.job_submission import JobStatus, JobErrorType from ray._common.network_utils import build_address import psutil @@ -450,6 +450,7 @@ async def run( JobStatus.FAILED, message=message, driver_exit_code=return_code, + error_type=JobErrorType.JOB_ENTRYPOINT_COMMAND_ERROR, ) except Exception: self._logger.error( @@ -461,6 +462,7 @@ async def run( self._job_id, JobStatus.FAILED, message=traceback.format_exc(), + error_type=JobErrorType.JOB_ENTRYPOINT_COMMAND_START_ERROR, ) except Exception: self._logger.error( diff --git a/python/ray/dashboard/modules/job/tests/test_common.py b/python/ray/dashboard/modules/job/tests/test_common.py index 1bd9d51b9f87..03ca01dc5282 100644 --- a/python/ray/dashboard/modules/job/tests/test_common.py +++ b/python/ray/dashboard/modules/job/tests/test_common.py @@ -7,6 +7,7 @@ from ray.dashboard.modules.job.common import ( JobInfo, JobStatus, + JobErrorType, JobSubmitRequest, http_uri_components_to_uri, uri_to_http_components, @@ -179,7 +180,7 @@ def test_job_info_json_to_proto(): info = JobInfo( status=JobStatus.PENDING, entrypoint="echo hi", - error_type="error_type", + error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE, start_time=123, end_time=456, metadata={"hi": "hi2"}, @@ -208,7 +209,7 @@ def test_job_info_json_to_proto(): "(CPUs, GPUs, memory, custom resources) to become available. " "It may be waiting for the runtime environment to be set up." ) - assert info_proto.error_type == "error_type" + assert info_proto.error_type == "JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE" assert info_proto.driver_agent_http_address == "http://localhost:1234" assert info_proto.driver_node_id == "node_id" diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index 4481acb667b8..d0ed6271a8ff 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -37,7 +37,7 @@ create_job_manager, create_ray_cluster, ) -from ray.job_submission import JobStatus +from ray.job_submission import JobStatus, JobErrorType from ray.tests.conftest import call_ray_start # noqa: F401 from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # noqa: F401 from ray.util.state import list_tasks @@ -412,9 +412,12 @@ async def check_job_succeeded(job_manager, job_id): return status == JobStatus.SUCCEEDED -async def check_job_failed(job_manager, job_id): - status = await job_manager.get_job_status(job_id) +async def check_job_failed(job_manager, job_id, expected_error_type=None): + data = await job_manager.get_job_info(job_id) + status = data.status assert status in {JobStatus.PENDING, JobStatus.RUNNING, JobStatus.FAILED} + if expected_error_type: + assert data.error_type == expected_error_type return status == JobStatus.FAILED @@ -720,7 +723,10 @@ async def test_failed_runtime_env_setup(self, job_manager): ) await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.RUNTIME_ENV_SETUP_FAILURE, ) data = await job_manager.get_job_info(job_id) @@ -880,7 +886,10 @@ async def test_kill_job_actor_in_before_driver_finish(self, job_manager): actor = job_manager._get_actor_for_job(job_id) ray.kill(actor, no_restart=True) await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, ) data = await job_manager.get_job_info(job_id) assert data.driver_exit_code is None @@ -934,7 +943,10 @@ async def test_kill_job_actor_in_pending(self, job_manager): actor = job_manager._get_actor_for_job(job_id) ray.kill(actor, no_restart=True) await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, ) data = await job_manager.get_job_info(job_id) assert data.driver_exit_code is None @@ -1040,7 +1052,10 @@ async def test_failed_job(self, job_manager): print(lines, end="") await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_ENTRYPOINT_COMMAND_ERROR, ) # check if the driver is killed data = await job_manager.get_job_info(job_id) @@ -1255,7 +1270,10 @@ async def test_failed_job_logs_max_char(job_manager): ) await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_ENTRYPOINT_COMMAND_ERROR, ) # Verify the status message length @@ -1330,7 +1348,10 @@ async def test_job_pending_timeout(job_manager, monkeypatch): # Wait for the job to timeout. await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_TIMEOUT, ) # Check that the job timed out. @@ -1355,7 +1376,10 @@ async def test_failed_driver_exit_code(job_manager): job_id = await job_manager.submit_job(entrypoint=exit_code_cmd) # Wait for the job to timeout. await async_wait_for_condition( - check_job_failed, job_manager=job_manager, job_id=job_id + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_ENTRYPOINT_COMMAND_ERROR, ) # Check that the job failed diff --git a/python/ray/job_submission/__init__.py b/python/ray/job_submission/__init__.py index 6a86cf73c329..b3a76be1e535 100644 --- a/python/ray/job_submission/__init__.py +++ b/python/ray/job_submission/__init__.py @@ -1,10 +1,11 @@ -from ray.dashboard.modules.job.common import JobInfo, JobStatus +from ray.dashboard.modules.job.common import JobErrorType, JobInfo, JobStatus from ray.dashboard.modules.job.pydantic_models import DriverInfo, JobDetails, JobType from ray.dashboard.modules.job.sdk import JobSubmissionClient __all__ = [ "JobSubmissionClient", "JobStatus", + "JobErrorType", "JobInfo", "JobDetails", "DriverInfo", From af58aa323acfdb4fa1f7690a3a9830ca1644e015 Mon Sep 17 00:00:00 2001 From: Richard Liaw Date: Wed, 27 Aug 2025 16:26:41 -0700 Subject: [PATCH 0905/1566] [cli] Ray Symmetric Run Script (#55111) ## Why are these changes needed? Implements symmetric-run for HPC and other settings. This aims to bridge the gap between running Ray and other styles of execution like torchrun. ## Related issue number Closes https://github.com/ray-project/ray/issues/55119 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Richard Liaw Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/scripts/symmetric_run.py | 261 +++++++++++++++++++++++++ python/ray/tests/BUILD | 1 + python/ray/tests/test_symmetric_run.py | 169 ++++++++++++++++ 3 files changed, 431 insertions(+) create mode 100644 python/ray/scripts/symmetric_run.py create mode 100644 python/ray/tests/test_symmetric_run.py diff --git a/python/ray/scripts/symmetric_run.py b/python/ray/scripts/symmetric_run.py new file mode 100644 index 000000000000..e93087574369 --- /dev/null +++ b/python/ray/scripts/symmetric_run.py @@ -0,0 +1,261 @@ +"""Symmetric Run for Ray.""" + +from typing import List + +import click +import ray +import socket +import psutil +import subprocess +import sys +import time + +from ray._private.ray_constants import env_integer +from ray._raylet import GcsClient + +CLUSTER_WAIT_TIMEOUT = env_integer("RAY_SYMMETRIC_RUN_CLUSTER_WAIT_TIMEOUT", 30) + + +def check_ray_already_started() -> bool: + import ray._private.services as services + + # Try auto-detecting the Ray instance. + running_gcs_addresses = services.find_gcs_addresses() + return len(running_gcs_addresses) > 0 + + +def check_cluster_ready(nnodes, timeout=CLUSTER_WAIT_TIMEOUT): + """Wait for all nodes to start. + + Raises an exception if the nodes don't start in time. + """ + start_time = time.time() + current_nodes = 1 + ray.init(ignore_reinit_error=True) + + while time.time() - start_time < timeout: + time.sleep(5) + current_nodes = len(ray.nodes()) + if current_nodes == nnodes: + return True + else: + click.echo( + f"Waiting for nodes to start... {current_nodes}/{nnodes} nodes started" + ) + return False + + +def check_head_node_ready(address: str, timeout=CLUSTER_WAIT_TIMEOUT): + start_time = time.time() + gcs_client = GcsClient(address=address) + while time.time() - start_time < timeout: + if gcs_client.check_alive([], timeout=1): + click.echo("Ray cluster is ready!") + return True + time.sleep(5) + return False + + +def curate_and_validate_ray_start_args(run_and_start_args: List[str]) -> List[str]: + # Reparse the arguments to remove symmetric_run arguments. + ctx = symmetric_run.make_context("_", run_and_start_args, resilient_parsing=True) + cleaned_args = list(ctx.params["ray_args_and_entrypoint"]) + + for arg in cleaned_args: + if arg == "--head": + raise click.ClickException("Cannot use --head option in symmetric_run.") + if arg == "--node-ip-address": + raise click.ClickException( + "Cannot use --node-ip-address option in symmetric_run." + ) + if arg == "--port": + raise click.ClickException("Cannot use --port option in symmetric_run.") + if arg == "--block": + raise click.ClickException("Cannot use --block option in symmetric_run.") + + return cleaned_args + + +@click.command( + name="symmetric_run", + context_settings={"ignore_unknown_options": True, "allow_extra_args": True}, + help="""Command to start Ray across all nodes and execute an entrypoint command. + +USAGE: + + python -m ray.scripts.symmetric_run --address ADDRESS +[--min-nodes NUM_NODES] [RAY_START_OPTIONS] -- [ENTRYPOINT_COMMAND] + +DESCRIPTION: + + This command (1) starts a Ray cluster across all nodes, +(2) runs a command on the head node, and (3) stops the Ray cluster. + + The '--' separator is required to distinguish between Ray start arguments +and the entrypoint command. The --min-nodes option is optional and +can be used to wait for a specific number of nodes to start. + +EXAMPLES: + + # Start Ray with default settings and run a Python script + + python -m ray.scripts.symmetric_run --address 127.0.0.1:6379 -- python my_script.py + + # Start Ray with specific head node and run a command + + python -m ray.scripts.symmetric_run --address 127.0.0.1:6379 --min-nodes 4 -- python train_model.py --epochs=100 + + # Start Ray and run a multi-word command + + python -m ray.scripts.symmetric_run --address 127.0.0.1:6379 --min-nodes 4 --num-cpus=4 -- python -m my_module --config=prod + +RAY START OPTIONS: + + Most ray start command options are supported. Arguments that are not +supported are: --head, --node-ip-address, --port, --block. + +SEPARATOR REQUIREMENT: + + The '--' separator is mandatory and must appear between Ray start + arguments and the entrypoint command. This ensures clear separation + between the two sets of arguments. +""", +) +@click.option( + "--address", required=True, type=str, help="The address of the Ray cluster." +) +@click.option( + "--min-nodes", + type=int, + help="If provided, wait for this number of nodes to start.", +) +@click.argument("ray_args_and_entrypoint", nargs=-1, type=click.UNPROCESSED) +def symmetric_run(address, min_nodes, ray_args_and_entrypoint): + all_args = sys.argv[1:] + separator = all_args.index("--") + + if separator == -1: + raise click.ClickException("No separator '--' found in arguments.") + + run_and_start_args, entrypoint_on_head = ( + all_args[:separator], + all_args[separator + 1 :], + ) + + ray_start_args = curate_and_validate_ray_start_args(run_and_start_args) + + min_nodes = 1 if min_nodes is None else min_nodes + + if not entrypoint_on_head: + raise click.ClickException("No entrypoint command provided.") + + if check_ray_already_started(): + raise click.ClickException("Ray is already started on this node.") + + # 1. Parse address and check if we are on the head node. + gcs_host_port = ray._common.network_utils.parse_address(address) + if gcs_host_port is None: + raise click.ClickException( + f"Invalid address format: {address}, should be `host:port`" + ) + gcs_host, gcs_port = gcs_host_port + + try: + # AF_UNSPEC allows resolving both IPv4 and IPv6 + addrinfo = socket.getaddrinfo( + gcs_host, gcs_port, socket.AF_UNSPEC, socket.SOCK_STREAM + ) + resolved_gcs_host = addrinfo[0][4][0] + except socket.gaierror: + raise click.ClickException(f"Could not resolve hostname: {gcs_host}") + + my_ips = [] + for iface, addrs in psutil.net_if_addrs().items(): + for addr in addrs: + # Look for AF_INET (IPv4) or AF_INET6 (IPv6) + if addr.family in [ + socket.AddressFamily.AF_INET, + socket.AddressFamily.AF_INET6, + ]: + my_ips.append(addr.address) + + if min_nodes > 1: + # Ban localhost ips if we are not running on a single node + # to avoid starting N head nodes + my_ips = [ip for ip in my_ips if ip != "127.0.0.1" and ip != "::1"] + + is_head = resolved_gcs_host in my_ips + + result = None + # 2. Start Ray and run commands. + try: + if is_head: + # On the head node, start Ray, run the command, then stop Ray. + click.echo("On head node. Starting Ray cluster head...") + + # Build the ray start command with all parameters + ray_start_cmd = [ + "ray", + "start", + "--head", + f"--node-ip-address={resolved_gcs_host}", + f"--port={gcs_port}", + *ray_start_args, + ] + + # Start Ray head. This runs in the background and hides output. + subprocess.run(ray_start_cmd, check=True, capture_output=True) + click.echo("Head node started.") + click.echo("=======================") + if min_nodes > 1 and not check_cluster_ready(min_nodes): + raise click.ClickException( + "Timed out waiting for other nodes to start." + ) + + click.echo( + f"Running command on head node: {entrypoint_on_head}", + ) + click.echo("=======================") + result = subprocess.run(entrypoint_on_head) + click.echo("=======================") + else: + # On a worker node, start Ray and connect to the head. + click.echo(f"On worker node. Connecting to Ray cluster at {address}...") + + if not check_head_node_ready(address): + raise click.ClickException("Timed out waiting for head node to start.") + + # Build the ray start command for worker nodes with all parameters + ray_start_cmd = [ + "ray", + "start", + "--address", + address, + "--block", + *ray_start_args, + ] + + # This command will block until the Ray cluster is stopped. + subprocess.run(ray_start_cmd, check=True) + + except subprocess.CalledProcessError as e: + click.echo(f"Failed to start Ray: {e}", err=True) + if e.stdout: + click.echo(f"stdout:\n{e.stdout.decode()}", err=True) + if e.stderr: + click.echo(f"stderr:\n{e.stderr.decode()}", err=True) + except KeyboardInterrupt: + # This can be triggered by ctrl-c on the user's side. + click.echo("Interrupted by user.", err=True) + finally: + # Stop Ray cluster. + subprocess.run(["ray", "stop"]) + + # Propagate the exit code of the user script. + if result is not None and result.returncode != 0: + click.echo(f"Command failed with return code {result.returncode}", err=True) + sys.exit(result.returncode) + + +if __name__ == "__main__": + symmetric_run() diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index e6c86d9adac5..1040d7411cc6 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -731,6 +731,7 @@ py_test_module_list( size = "medium", files = [ "test_autoscaler.py", + "test_symmetric_run.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_symmetric_run.py b/python/ray/tests/test_symmetric_run.py new file mode 100644 index 000000000000..524e4c52b6a1 --- /dev/null +++ b/python/ray/tests/test_symmetric_run.py @@ -0,0 +1,169 @@ +import ray +import sys +import pytest +from contextlib import contextmanager +from unittest.mock import patch, MagicMock +from click.testing import CliRunner +import ray.scripts.scripts as scripts + + +@contextmanager +def _setup_mock_network_utils(curr_ip, head_ip): + import socket + + # Mock socket.getaddrinfo to return a valid IP + with patch("socket.getaddrinfo") as mock_getaddrinfo: + mock_getaddrinfo.return_value = [("", "", "", "", (curr_ip, 6379))] + + # Mock psutil.net_if_addrs to return localhost IP + with patch("psutil.net_if_addrs") as mock_net_if_addrs: + mock_net_if_addrs.return_value = { + "lo": [ + type( + "addr", + (), + {"family": socket.AF_INET, "address": head_ip}, + )() + ] + } + yield + + +@pytest.fixture +def cleanup_ray(): + """Shutdown all ray instances""" + yield + runner = CliRunner() + runner.invoke(scripts.stop, ["--force"]) + ray.shutdown() + + +def test_symmetric_run_basic_interface(monkeypatch, cleanup_ray): + """Test basic symmetric_run interface with minimal arguments.""" + from ray.scripts.symmetric_run import symmetric_run + + runner = CliRunner() + + # Mock subprocess.run to avoid actually starting Ray + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + with _setup_mock_network_utils("127.0.0.1", "127.0.0.1"): + args = ["--address", "127.0.0.1:6379", "--", "echo", "test"] + + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + # Test basic symmetric_run call using CliRunner + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 0 + + # Verify that subprocess.run was called for ray start + assert mock_run.called + calls = mock_run.call_args_list + + # Should have called ray start with --head + ray_start_calls = [ + call for call in calls if "ray" in str(call) and "start" in str(call) + ] + assert len(ray_start_calls) > 0 + + # Should have called ray stop + ray_stop_calls = [ + call for call in calls if "ray" in str(call) and "stop" in str(call) + ] + assert len(ray_stop_calls) > 0 + + +def test_symmetric_run_worker_node_behavior(monkeypatch, cleanup_ray): + """Test symmetric_run behavior when not on the head node.""" + from ray.scripts.symmetric_run import symmetric_run + + runner = CliRunner() + + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + + with _setup_mock_network_utils("192.168.1.100", "192.168.1.101"): + # Mock socket connection check to simulate head node ready + with patch("socket.socket") as mock_socket: + mock_socket_instance = MagicMock() + mock_socket_instance.connect_ex.return_value = 0 + mock_socket.return_value.__enter__.return_value = mock_socket_instance + + # Test worker node behavior + args = ["--address", "192.168.1.100:6379", "--", "echo", "test"] + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + with patch( + "ray.scripts.symmetric_run.check_head_node_ready" + ) as mock_check_head_node_ready: + mock_check_head_node_ready.return_value = True + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 0 + + # Verify that subprocess.run was called + assert mock_run.called + calls = mock_run.call_args_list + + # Should have called ray start with --address (worker mode) + ray_start_calls = [ + call + for call in calls + if "ray" in str(call) and "start" in str(call) + ] + assert len(ray_start_calls) > 0 + + # Check that it's in worker mode (--address instead of --head) + start_call = ray_start_calls[0] + start_args = start_call[0][0] + assert "--address" in start_args + assert "192.168.1.100:6379" in start_args + assert "--head" not in start_args + assert "--block" in start_args # Worker nodes should block + + +def test_symmetric_run_arg_validation(monkeypatch, cleanup_ray): + """Test that symmetric_run validates arguments.""" + from ray.scripts.symmetric_run import symmetric_run + + runner = CliRunner() + + # Mock subprocess.run to avoid actually starting Ray + with _setup_mock_network_utils("127.0.0.1", "127.0.0.1"): + + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + args = ["--address", "127.0.0.1:6379", "--", "echo", "test"] + + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + # Test basic symmetric_run call using CliRunner + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 0 + + # Test that invalid arguments are rejected + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + + args = ["--address", "127.0.0.1:6379", "--head", "--", "echo", "test"] + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 1 + assert "Cannot use --head option in symmetric_run." in result.output + + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + + # Test args with "=" are passed to ray start + args = ["--address", "127.0.0.1:6379", "--num-cpus=4", "--", "echo", "test"] + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 0 + + ray_start_calls = [ + call + for call in mock_run.call_args_list + if "ray" in str(call) and "start" in str(call) + ] + assert len(ray_start_calls) > 0 + assert "--num-cpus=4" in ray_start_calls[0][0][0] + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) From 58f51753cd2c130d37486081ef718808f3ba7b21 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 27 Aug 2025 18:29:13 -0500 Subject: [PATCH 0906/1566] [core] Remove `gcs_rpc_server.h` dependency from `GcsTaskManager` (#56001) Splitting gRPC service interface from implementation. Stacked on: https://github.com/ray-project/ray/pull/55999 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 3 +- src/ray/gcs/gcs_server/gcs_server.cc | 12 ++- src/ray/gcs/gcs_server/gcs_task_manager.h | 6 +- .../gcs/gcs_server/grpc_service_interfaces.h | 21 +++++ src/ray/gcs/gcs_server/grpc_services.cc | 18 ++++ src/ray/gcs/gcs_server/grpc_services.h | 46 ++++++++++ src/ray/gcs/gcs_server/tests/BUILD.bazel | 1 - src/ray/rpc/gcs/gcs_rpc_server.h | 85 ------------------- 8 files changed, 99 insertions(+), 93 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 8d6de0908ca3..5e3de7e6ed16 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -199,6 +199,7 @@ ray_cc_library( hdrs = ["gcs_task_manager.h"], deps = [ ":gcs_usage_stats_client", + ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", @@ -206,7 +207,7 @@ ray_cc_library( "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", "//src/ray/protobuf:gcs_cc_proto", - "//src/ray/rpc:gcs_server", + "//src/ray/stats:stats_metric", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 890d958d72c5..9648b6082ed5 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -735,10 +735,14 @@ void GcsServer::InitGcsTaskManager() { auto &io_context = io_context_provider_.GetIOContext(); gcs_task_manager_ = std::make_unique(io_context); // Register service. - rpc_server_.RegisterService( - std::make_unique(io_context, *gcs_task_manager_)); - rpc_server_.RegisterService( - std::make_unique(io_context, *gcs_task_manager_)); + rpc_server_.RegisterService(std::make_unique( + io_context, + *gcs_task_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); + rpc_server_.RegisterService(std::make_unique( + io_context, + *gcs_task_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InstallEventListeners() { diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index a98d30c0f036..d6e5686100c7 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -24,9 +24,10 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pb_util.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/gcs.pb.h" @@ -92,7 +93,8 @@ class FinishedTaskActorTaskGcPolicy : public TaskEventsGcPolicyInterface { /// /// This class has its own io_context and io_thread, that's separate from other GCS /// services. All handling of all rpc should be posted to the single thread it owns. -class GcsTaskManager : public rpc::TaskInfoHandler, public rpc::RayEventExportHandler { +class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, + public rpc::RayEventExportGcsServiceHandler { public: /// Create a GcsTaskManager. explicit GcsTaskManager(instrumented_io_context &io_service); diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index f1cf9b70f538..0c8d68bc7aad 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -206,5 +206,26 @@ class InternalKVGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class TaskInfoGcsServiceHandler { + public: + virtual ~TaskInfoGcsServiceHandler() = default; + + virtual void HandleAddTaskEventData(AddTaskEventDataRequest request, + AddTaskEventDataReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetTaskEvents(GetTaskEventsRequest request, + GetTaskEventsReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +class RayEventExportGcsServiceHandler { + public: + virtual ~RayEventExportGcsServiceHandler() = default; + virtual void HandleAddEvents(events::AddEventsRequest request, + events::AddEventsReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 4157256be205..cf6fad71f43b 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -114,5 +114,23 @@ void InternalKVGrpcService::InitServerCallFactories( InternalKVGcsService, GetInternalConfig, max_active_rpcs_per_handler_) } +void TaskInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(TaskInfoGcsService, AddTaskEventData, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(TaskInfoGcsService, GetTaskEvents, max_active_rpcs_per_handler_) +} + +using events::AddEventsReply; +using events::AddEventsRequest; + +void RayEventExportGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(RayEventExportGcsService, AddEvents, max_active_rpcs_per_handler_) +} + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index 0a463c2b6b6f..a4faaf4bf453 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -196,5 +196,51 @@ class InternalKVGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class TaskInfoGrpcService : public GrpcService { + public: + explicit TaskInfoGrpcService(instrumented_io_context &io_service, + TaskInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + TaskInfoGcsService::AsyncService service_; + TaskInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + +class RayEventExportGrpcService : public GrpcService { + public: + explicit RayEventExportGrpcService(instrumented_io_context &io_service, + RayEventExportGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + RayEventExportGcsService::AsyncService service_; + RayEventExportGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 417989a559c4..87fb68703f42 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -149,7 +149,6 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_task_manager", "//src/ray/gcs/tests:gcs_test_util_lib", diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 7b812c13739e..4175e6271bf3 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -117,16 +117,6 @@ namespace rpc { HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) -#define TASK_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(TaskInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -#define RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(RayEventExportGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ HANDLER, \ @@ -291,83 +281,8 @@ class PlacementGroupInfoGrpcService : public GrpcService { PlacementGroupInfoGcsServiceHandler &service_handler_; }; -class TaskInfoGcsServiceHandler { - public: - virtual ~TaskInfoGcsServiceHandler() = default; - - virtual void HandleAddTaskEventData(AddTaskEventDataRequest request, - AddTaskEventDataReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetTaskEvents(GetTaskEventsRequest request, - GetTaskEventsReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `TaskInfoGcsService`. -class TaskInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] io_service IO service to run the handler. - /// \param[in] handler The service handler that actually handle the requests. - explicit TaskInfoGrpcService(instrumented_io_context &io_service, - TaskInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - TASK_INFO_SERVICE_RPC_HANDLER(AddTaskEventData); - TASK_INFO_SERVICE_RPC_HANDLER(GetTaskEvents); - } - - private: - /// The grpc async service object. - TaskInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - TaskInfoGcsServiceHandler &service_handler_; -}; - -class RayEventExportGcsServiceHandler { - public: - virtual ~RayEventExportGcsServiceHandler() = default; - virtual void HandleAddEvents(AddEventsRequest request, - AddEventsReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `RayEventExportGcsService`. -class RayEventExportGrpcService : public GrpcService { - public: - explicit RayEventExportGrpcService(instrumented_io_context &io_service, - RayEventExportGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - RAY_EVENT_EXPORT_SERVICE_RPC_HANDLER(AddEvents); - } - - private: - /// The grpc async service object. - RayEventExportGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - RayEventExportGcsServiceHandler &service_handler_; -}; - using ActorInfoHandler = ActorInfoGcsServiceHandler; using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; -using TaskInfoHandler = TaskInfoGcsServiceHandler; -using RayEventExportHandler = RayEventExportGcsServiceHandler; } // namespace rpc } // namespace ray From de3d5d16286e05451240e577423b3661d93e58f6 Mon Sep 17 00:00:00 2001 From: ahao-anyscale Date: Wed, 27 Aug 2025 16:57:48 -0700 Subject: [PATCH 0907/1566] [serve.llm] Score API Integration for Serve LLM (#55914) Signed-off-by: ahao-anyscale Co-authored-by: Nikhil G Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/serve/llm/index.md | 1 + .../serve/configs/openai_api_models.py | 14 +++++++ .../serve/deployments/llm/llm_server.py | 25 ++++++++++- .../serve/deployments/llm/vllm/vllm_engine.py | 30 +++++++++++++- .../serve/deployments/routers/router.py | 41 ++++++++++++++++++- python/ray/llm/tests/serve/conftest.py | 11 +++++ .../cpu/deployments/llm/test_llm_engine.py | 15 +++++++ .../cpu/deployments/llm/test_llm_server.py | 28 +++++++++++++ .../llm/tests/serve/mocks/mock_vllm_engine.py | 37 +++++++++++++++++ .../llm/tests/serve/utils/testing_utils.py | 14 +++++++ 10 files changed, 212 insertions(+), 4 deletions(-) diff --git a/doc/source/serve/llm/index.md b/doc/source/serve/llm/index.md index 0cf2a27aa989..893b4a5d370a 100644 --- a/doc/source/serve/llm/index.md +++ b/doc/source/serve/llm/index.md @@ -36,6 +36,7 @@ This deployment provides an OpenAI-compatible FastAPI ingress and routes traffic - `/v1/chat/completions`: Chat interface (ChatGPT-style) - `/v1/completions`: Text completion - `/v1/embeddings`: Text embeddings +- `/v1/score`: Text comparison - `/v1/models`: List available models - `/v1/models/{model}`: Model information diff --git a/python/ray/llm/_internal/serve/configs/openai_api_models.py b/python/ray/llm/_internal/serve/configs/openai_api_models.py index bb0b195d93f4..2d118ab4742e 100644 --- a/python/ray/llm/_internal/serve/configs/openai_api_models.py +++ b/python/ray/llm/_internal/serve/configs/openai_api_models.py @@ -22,6 +22,8 @@ EmbeddingCompletionRequest as vLLMEmbeddingCompletionRequest, EmbeddingResponse as vLLMEmbeddingResponse, ErrorResponse as vLLMErrorResponse, + ScoreRequest as vLLMScoreRequest, + ScoreResponse as vLLMScoreResponse, ) from vllm.utils import random_uuid @@ -89,12 +91,24 @@ class EmbeddingResponse(vLLMEmbeddingResponse): model_config = ConfigDict(arbitrary_types_allowed=True) +class ScoreRequest(vLLMScoreRequest): + model_config = ConfigDict(arbitrary_types_allowed=True) + + +class ScoreResponse(vLLMScoreResponse): + model_config = ConfigDict(arbitrary_types_allowed=True) + + EmbeddingRequest = Union[EmbeddingCompletionRequest, EmbeddingChatRequest] LLMEmbeddingsResponse = Union[ AsyncGenerator[Union[EmbeddingResponse, ErrorResponse], None], ] +LLMScoreResponse = Union[ + AsyncGenerator[Union[ScoreResponse, ErrorResponse], None], +] + LLMChatResponse = Union[ AsyncGenerator[Union[str, ChatCompletionResponse, ErrorResponse], None], ] diff --git a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py index 72a02525286e..faa9f98f87b5 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/llm_server.py +++ b/python/ray/llm/_internal/serve/deployments/llm/llm_server.py @@ -52,6 +52,8 @@ EmbeddingRequest, EmbeddingResponse, ErrorResponse, + ScoreRequest, + ScoreResponse, ) logger = get_logger(__name__) @@ -306,7 +308,10 @@ def _batch_output_stream( async def _run_request( self, request: Union[ - "ChatCompletionRequest", "CompletionRequest", "EmbeddingRequest" + "ChatCompletionRequest", + "CompletionRequest", + "EmbeddingRequest", + "ScoreRequest", ], *, engine_method: str, @@ -392,6 +397,24 @@ async def embeddings( request, engine_method="embeddings", batch_output_stream=False ) + async def score( + self, request: "ScoreRequest" + ) -> AsyncGenerator[Union["ScoreResponse", "ErrorResponse"], None]: + """Runs a score request to the engine and returns the response. + + Returns an AsyncGenerator over the ScoreResponse object. This is so that the caller can have a consistent interface across all the methods of chat, completions, embeddings, and score. + + Args: + request: A ScoreRequest object. + + Returns: + An AsyncGenerator over the ScoreResponse object. + """ + # NOTE: Score does not need batching, similar to embeddings. + return await self._run_request( + request, engine_method="score", batch_output_stream=False + ) + async def check_health(self) -> None: """ Check the health of the replica. Does not return anything. Raise error when diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 9e67fdbe30dd..9df60582bf2a 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -19,6 +19,8 @@ EmbeddingRequest, EmbeddingResponse, ErrorResponse, + ScoreRequest, + ScoreResponse, ) from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, @@ -43,6 +45,7 @@ from vllm.entrypoints.openai.serving_completion import OpenAIServingCompletion from vllm.entrypoints.openai.serving_embedding import OpenAIServingEmbedding from vllm.entrypoints.openai.serving_models import OpenAIServingModels + from vllm.entrypoints.openai.serving_score import ServingScores vllm = try_import("vllm") logger = get_logger(__name__) @@ -134,6 +137,7 @@ def __init__( self._oai_serving_chat: Optional["OpenAIServingChat"] = None self._oai_serving_completion: Optional["OpenAIServingCompletion"] = None self._oai_serving_embedding: Optional["OpenAIServingEmbedding"] = None + self._oai_serving_scores: Optional["ServingScores"] = None async def start(self) -> None: """Start the vLLM engine. @@ -189,6 +193,7 @@ async def start(self) -> None: self._oai_serving_chat = state.openai_serving_chat self._oai_serving_completion = state.openai_serving_completion self._oai_serving_embedding = state.openai_serving_embedding + self._oai_serving_scores = state.openai_serving_scores self._validate_openai_serving_models() self._validate_engine_client() @@ -221,6 +226,11 @@ def _validate_openai_serving_embedding(self): self._oai_serving_embedding, "create_embedding" ), "oai_serving_embedding must have a create_embedding attribute" + def _validate_openai_serving_scores(self): + assert hasattr( + self._oai_serving_scores, "create_score" + ), "oai_serving_scores must have a create_score attribute" + def _validate_engine_client(self): assert hasattr( self._engine_client, "check_health" @@ -354,7 +364,9 @@ async def resolve_lora(self, disk_lora_model: DiskMultiplexConfig): def _create_raw_request( self, - request: Union[CompletionRequest, ChatCompletionRequest, EmbeddingRequest], + request: Union[ + CompletionRequest, ChatCompletionRequest, EmbeddingRequest, ScoreRequest + ], path: str, ) -> Request: scope = { @@ -442,6 +454,22 @@ async def embeddings( else: yield EmbeddingResponse(**embedding_response.model_dump()) + async def score( + self, request: ScoreRequest + ) -> AsyncGenerator[Union[ScoreResponse, ErrorResponse], None]: + self._validate_openai_serving_scores() + + raw_request = self._create_raw_request(request, "/score") + + score_response = await self._oai_serving_scores.create_score( + request, raw_request=raw_request + ) + + if isinstance(score_response, VLLMErrorResponse): + yield ErrorResponse(**score_response.model_dump()) + else: + yield ScoreResponse(**score_response.model_dump()) + async def check_health(self) -> None: assert self._engine_client is not None, "engine_client is not initialized" diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index 0d22410c6ef8..d9af5b28e327 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -46,9 +46,12 @@ LLMChatResponse, LLMCompletionsResponse, LLMEmbeddingsResponse, + LLMScoreResponse, ModelCard, ModelList, OpenAIHTTPException, + ScoreRequest, + ScoreResponse, to_model_metadata, ) from ray.llm._internal.serve.configs.server_models import LLMConfig @@ -310,10 +313,18 @@ def _get_configured_serve_handle(self, model_id: str): async def _get_response( self, *, - body: Union[CompletionRequest, ChatCompletionRequest, EmbeddingRequest], + body: Union[ + CompletionRequest, ChatCompletionRequest, EmbeddingRequest, ScoreRequest + ], call_method: str, ) -> AsyncGenerator[ - Union[LLMChatResponse, LLMCompletionsResponse, LLMEmbeddingsResponse], None + Union[ + LLMChatResponse, + LLMCompletionsResponse, + LLMEmbeddingsResponse, + LLMScoreResponse, + ], + None, ]: """Calls the model deployment and returns the stream.""" model: str = body.model @@ -478,6 +489,32 @@ async def embeddings(self, body: EmbeddingRequest) -> Response: if isinstance(result, EmbeddingResponse): return JSONResponse(content=result.model_dump()) + @fastapi_router_app.post("/v1/score") + async def score(self, body: ScoreRequest) -> Response: + """Create scores for the provided text pairs. + + Note: This is a vLLM specific endpoint. + + Args: + body: The score request containing input text pairs to score. + + Returns: + A response object with scores. + """ + + async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): + results = self._get_response(body=body, call_method="score") + result = await results.__anext__() + if isinstance(result, ErrorResponse): + raise OpenAIHTTPException( + message=result.message, + status_code=result.code, + type=result.type, + ) + + if isinstance(result, ScoreResponse): + return JSONResponse(content=result.model_dump()) + @classmethod def as_deployment( cls, llm_configs: Optional[List[LLMConfig]] = None diff --git a/python/ray/llm/tests/serve/conftest.py b/python/ray/llm/tests/serve/conftest.py index 55d94387f88c..f39a4bfc8483 100644 --- a/python/ray/llm/tests/serve/conftest.py +++ b/python/ray/llm/tests/serve/conftest.py @@ -15,6 +15,7 @@ ChatCompletionRequest, CompletionRequest, EmbeddingCompletionRequest, + ScoreRequest, ) from ray.llm._internal.serve.deployments.llm.vllm.vllm_models import ( VLLMEngineConfig, @@ -112,6 +113,16 @@ def mock_embedding_request(dimensions): return request +@pytest.fixture +def mock_score_request(): + """Fixture for creating score requests for mock testing.""" + return ScoreRequest( + model=MOCK_MODEL_ID, + text_1="What is the capital of France?", + text_2="The capital of France is Paris.", + ) + + def get_test_model_path(yaml_file: str) -> pathlib.Path: current_file_dir = pathlib.Path(__file__).absolute().parent test_model_path = current_file_dir / yaml_file diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py index ef3603cfde2a..e473d6f4e14f 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_engine.py @@ -81,3 +81,18 @@ async def test_embedding_mock_engine( async for response in engine.embeddings(request): LLMResponseValidator.validate_embedding_response(response, dimensions) + + @pytest.mark.asyncio + async def test_score_mock_engine(self, mock_llm_config, mock_score_request): + """Test score API for text similarity.""" + # Create and start the engine + engine = MockVLLMEngine(mock_llm_config) + await engine.start() + + # Create score request + request = mock_score_request + + print("\n\n_____ SCORE _____\n\n") + + async for response in engine.score(request): + LLMResponseValidator.validate_score_response(response) diff --git a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py index 20c517bd23b6..44404585003b 100644 --- a/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py +++ b/python/ray/llm/tests/serve/cpu/deployments/llm/test_llm_server.py @@ -152,6 +152,34 @@ async def test_embedding_llm_server( # Validate embedding response LLMResponseValidator.validate_embedding_response(chunks[0], dimensions) + @pytest.mark.asyncio + async def test_score_llm_server( + self, + serve_handle, + mock_llm_config, + mock_score_request, + ): + """Test score API from LLMServer perspective.""" + + # Create score request + request = mock_score_request + + print("\n\n_____ SCORE SERVER _____\n\n") + + # Get the response + batched_chunks = serve_handle.score.remote(request) + + # Collect responses (should be just one) + chunks = [] + async for batch in batched_chunks: + chunks.append(batch) + + # Check that we got one response + assert len(chunks) == 1 + + # Validate score response + LLMResponseValidator.validate_score_response(chunks[0]) + @pytest.mark.asyncio async def test_check_health(self, mock_llm_config): """Test health check functionality.""" diff --git a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py index 6879d7db1272..068621fbfa71 100644 --- a/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py +++ b/python/ray/llm/tests/serve/mocks/mock_vllm_engine.py @@ -13,6 +13,8 @@ EmbeddingRequest, EmbeddingResponse, ErrorResponse, + ScoreRequest, + ScoreResponse, ) from ray.llm._internal.serve.configs.server_models import ( DiskMultiplexConfig, @@ -135,6 +137,41 @@ async def embeddings( ) yield response + async def score( + self, request: ScoreRequest + ) -> AsyncGenerator[Union[str, ScoreResponse, ErrorResponse], None]: + """Mock score generation for text pairs.""" + if not self.started: + raise RuntimeError("Engine not started") + + # Extract text_1 and text_2 from the request + text_1 = getattr(request, "text_1", "") + text_2 = getattr(request, "text_2", "") + + # Convert to lists if they aren't already + text_1_list = text_1 if isinstance(text_1, list) else [text_1] + text_2_list = text_2 if isinstance(text_2, list) else [text_2] + + # Generate mock scores for each pair + score_data = [] + for i, (t1, t2) in enumerate(zip(text_1_list, text_2_list)): + # Generate a random score (can be any float value) + score = random.uniform(-10.0, 10.0) + + score_data.append({"object": "score", "score": score, "index": i}) + + # Create the response + response = ScoreResponse( + object="list", + data=score_data, + model=getattr(request, "model", "mock-model"), + usage={ + "prompt_tokens": len(str(text_1).split()) + len(str(text_2).split()), + "total_tokens": len(str(text_1).split()) + len(str(text_2).split()), + }, + ) + yield response + async def _generate_chat_response( self, request: ChatCompletionRequest, prompt_text: str, max_tokens: int ) -> AsyncGenerator[Union[str, ChatCompletionResponse], None]: diff --git a/python/ray/llm/tests/serve/utils/testing_utils.py b/python/ray/llm/tests/serve/utils/testing_utils.py index fd62a3034deb..496dd2b50b0b 100644 --- a/python/ray/llm/tests/serve/utils/testing_utils.py +++ b/python/ray/llm/tests/serve/utils/testing_utils.py @@ -11,6 +11,7 @@ ChatCompletionResponse, CompletionResponse, EmbeddingResponse, + ScoreResponse, ) @@ -94,3 +95,16 @@ def validate_embedding_response( # Check dimensions if specified if expected_dimensions: assert len(response.data[0].embedding) == expected_dimensions + + @staticmethod + def validate_score_response(response: ScoreResponse): + """Validate score responses.""" + assert isinstance(response, ScoreResponse) + assert response.object == "list" + assert len(response.data) >= 1 + + # Validate each score data element + for i, score_data in enumerate(response.data): + assert score_data.object == "score" + assert isinstance(score_data.score, float) + assert score_data.index == i # Index should match position in list From cac78eacd67f5a2789a16c6c71ea4a0a1d1ca50b Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 27 Aug 2025 17:22:28 -0700 Subject: [PATCH 0908/1566] Add rank and world size in replica context (#55827) 1. `rank` and `world_size` are now available on `ReplicaContext`. 2. Replica initialization now requires providing a rank 3. Any change to the replicas rank will be communicated from controller via `.reconfigure()` method. 4. Assigned rank to replica can be fetched from `get_metadata()` function, this will be useful during controller recovery to reconstruct the state. This PR fills in a dummy rank value, in the future PR we will fetch the replica from DeploymentRankManager and pass in the correct value. Part 2 of https://github.com/ray-project/ray/pull/54938 Next diff in pipeline https://github.com/ray-project/ray/pull/55829 --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 16 ++++++++- python/ray/serve/_private/replica.py | 35 ++++++++++++++----- python/ray/serve/context.py | 8 +++++ .../serve/tests/test_controller_recovery.py | 4 +-- python/ray/serve/tests/test_multiplex.py | 2 ++ python/ray/serve/tests/unit/test_batching.py | 2 ++ 6 files changed, 56 insertions(+), 11 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 87b1ee46502d..96658abd2cb9 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -250,6 +250,8 @@ def __init__( self._initialization_latency_s: Optional[float] = None self._port: Optional[int] = None self._docs_path: Optional[str] = None + # Rank assigned to the replica. + self._rank: Optional[int] = None # Populated in `on_scheduled` or `recover`. self._actor_handle: ActorHandle = None self._placement_group: PlacementGroup = None @@ -282,6 +284,10 @@ def replica_id(self) -> str: def deployment_name(self) -> str: return self._deployment_id.name + @property + def rank(self) -> Optional[int]: + return self._rank + @property def app_name(self) -> str: return self._deployment_id.app_name @@ -454,6 +460,8 @@ def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: if self._deployment_is_cross_language else deployment_info.replica_config.serialized_init_args ) + # TODO(abrar): Fill in the correct rank + rank = 0 init_args = ( self.replica_id, cloudpickle.dumps(deployment_info.replica_config.deployment_def) @@ -467,6 +475,7 @@ def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: self._version, deployment_info.ingress, deployment_info.route_prefix, + rank, ) # TODO(simon): unify the constructor arguments across language elif ( @@ -598,8 +607,12 @@ def reconfigure(self, version: DeploymentVersion) -> bool: deployment_config.user_config = self._format_user_config( deployment_config.user_config ) + # TODO(abrar): FIll in the correct rank + rank = 0 self._ready_obj_ref = self._actor_handle.reconfigure.remote( - deployment_config, version.route_prefix + deployment_config, + rank, + version.route_prefix, ) self._version = version @@ -729,6 +742,7 @@ def check_ready(self) -> Tuple[ReplicaStartupStatus, Optional[str]]: self._initialization_latency_s, self._port, self._docs_path, + self._rank, ) = ray.get(self._ready_obj_ref) except RayTaskError as e: logger.exception( diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 5ce22606f4b9..6ddfe873d97b 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -115,6 +115,7 @@ Optional[float], Optional[int], Optional[str], + int, ] @@ -356,6 +357,7 @@ def __init__( version: DeploymentVersion, ingress: bool, route_prefix: str, + rank: int, ): self._version = version self._replica_id = replica_id @@ -402,7 +404,7 @@ def __init__( # Set metadata for logs and metrics. # servable_object will be populated in `initialize_and_get_metadata`. - self._set_internal_replica_context(servable_object=None) + self._set_internal_replica_context(servable_object=None, rank=rank) self._metrics_manager = create_replica_metrics_manager( replica_id=replica_id, @@ -422,19 +424,27 @@ def get_num_ongoing_requests(self) -> int: return self._metrics_manager.get_num_ongoing_requests() def get_metadata(self) -> ReplicaMetadata: + current_rank = ray.serve.context._get_internal_replica_context().rank return ( self._version.deployment_config, self._version, self._initialization_latency, self._port, self._docs_path, + current_rank, ) - def _set_internal_replica_context(self, *, servable_object: Callable = None): + def _set_internal_replica_context( + self, *, servable_object: Callable = None, rank: int = None + ): + # Calculate world_size from deployment config instead of storing it + world_size = self._deployment_config.num_replicas ray.serve.context._set_internal_replica_context( replica_id=self._replica_id, servable_object=servable_object, _deployment_config=self._deployment_config, + rank=rank, + world_size=world_size, ) def _configure_logger_and_profilers( @@ -752,7 +762,10 @@ async def initialize(self, deployment_config: DeploymentConfig): raise RuntimeError(traceback.format_exc()) from None async def reconfigure( - self, deployment_config: DeploymentConfig, route_prefix: Optional[str] = None + self, + deployment_config: DeploymentConfig, + rank: int, + route_prefix: Optional[str] = None, ): try: user_config_changed = ( @@ -782,9 +795,10 @@ async def reconfigure( ) # We need to update internal replica context to reflect the new - # deployment_config. + # deployment_config and rank. self._set_internal_replica_context( - servable_object=self._user_callable_wrapper.user_callable + servable_object=self._user_callable_wrapper.user_callable, + rank=rank, ) self._route_prefix = self._version.route_prefix @@ -894,8 +908,11 @@ async def record_routing_stats(self) -> Dict[str, Any]: class Replica(ReplicaBase): async def _on_initialized(self): + # Get current rank from replica context during initialization + current_rank = ray.serve.context._get_internal_replica_context().rank self._set_internal_replica_context( - servable_object=self._user_callable_wrapper.user_callable + servable_object=self._user_callable_wrapper.user_callable, + rank=current_rank, ) # Save the initialization latency if the replica is initializing @@ -969,6 +986,7 @@ async def __init__( version: DeploymentVersion, ingress: bool, route_prefix: str, + rank: int, ): deployment_config = DeploymentConfig.from_proto_bytes( deployment_config_proto_bytes @@ -985,6 +1003,7 @@ async def __init__( version=version, ingress=ingress, route_prefix=route_prefix, + rank=rank, ) def push_proxy_handle(self, handle: ActorHandle): @@ -1047,9 +1066,9 @@ async def record_routing_stats(self) -> Dict[str, Any]: return await self._replica_impl.record_routing_stats() async def reconfigure( - self, deployment_config, route_prefix: Optional[str] = None + self, deployment_config, rank: int, route_prefix: Optional[str] = None ) -> ReplicaMetadata: - await self._replica_impl.reconfigure(deployment_config, route_prefix) + await self._replica_impl.reconfigure(deployment_config, rank, route_prefix) return self._replica_impl.get_metadata() def _preprocess_request_args( diff --git a/python/ray/serve/context.py b/python/ray/serve/context.py index ecb412aab37b..99b8e5f0d9e8 100644 --- a/python/ray/serve/context.py +++ b/python/ray/serve/context.py @@ -41,11 +41,15 @@ class ReplicaContext: - deployment: name of the deployment the replica is a part of. - replica_tag: unique ID for the replica. - servable_object: instance of the user class/function this replica is running. + - rank: the rank of the replica. + - world_size: the number of replicas in the deployment. """ replica_id: ReplicaID servable_object: Callable _deployment_config: DeploymentConfig + rank: int + world_size: int @property def app_name(self) -> str: @@ -108,12 +112,16 @@ def _set_internal_replica_context( replica_id: ReplicaID, servable_object: Callable, _deployment_config: DeploymentConfig, + rank: int, + world_size: int, ): global _INTERNAL_REPLICA_CONTEXT _INTERNAL_REPLICA_CONTEXT = ReplicaContext( replica_id=replica_id, servable_object=servable_object, _deployment_config=_deployment_config, + rank=rank, + world_size=world_size, ) diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index 493931872ea9..52f405153a1e 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -65,7 +65,7 @@ def __call__(self, *args): replica_version_hash = None for replica in deployment_dict[id]: ref = replica.actor_handle.initialize_and_get_metadata.remote() - _, version, _, _, _ = ray.get(ref) + _, version, _, _, _, _ = ray.get(ref) if replica_version_hash is None: replica_version_hash = hash(version) assert replica_version_hash == hash(version), ( @@ -118,7 +118,7 @@ def __call__(self, *args): for replica_name in recovered_replica_names: actor_handle = ray.get_actor(replica_name, namespace=SERVE_NAMESPACE) ref = actor_handle.initialize_and_get_metadata.remote() - _, version, _, _, _ = ray.get(ref) + _, version, _, _, _, _ = ray.get(ref) assert replica_version_hash == hash( version ), "Replica version hash should be the same after recover from actor names" diff --git a/python/ray/serve/tests/test_multiplex.py b/python/ray/serve/tests/test_multiplex.py index 1ebc29066181..b93857f12c03 100644 --- a/python/ray/serve/tests/test_multiplex.py +++ b/python/ray/serve/tests/test_multiplex.py @@ -34,6 +34,8 @@ def start_serve_with_context(): ), servable_object=None, _deployment_config=DeploymentConfig(), + rank=0, + world_size=1, ) try: yield diff --git a/python/ray/serve/tests/unit/test_batching.py b/python/ray/serve/tests/unit/test_batching.py index fa83a018c85a..9c08ffdf6813 100644 --- a/python/ray/serve/tests/unit/test_batching.py +++ b/python/ray/serve/tests/unit/test_batching.py @@ -20,6 +20,8 @@ replica_id=ReplicaID(unique_id="test", deployment_id=DeploymentID(name="test")), servable_object=None, _deployment_config=default_deployment_config, + rank=0, + world_size=1, ) From 4c83092c9f25a8a3e6b895672b22e903031b04f8 Mon Sep 17 00:00:00 2001 From: Jeffrey Wang Date: Wed, 27 Aug 2025 17:27:58 -0700 Subject: [PATCH 0909/1566] [data.llm] Allow vLLM engine to be shared by sequential processors with serve deployments (#55179) Signed-off-by: jeffreyjeffreywang Co-authored-by: jeffreyjeffreywang Signed-off-by: Douglas Strodtman --- python/ray/data/llm.py | 105 ++++++++ .../llm/_internal/batch/processor/__init__.py | 2 + .../batch/processor/serve_deployment_proc.py | 78 ++++++ .../llm/_internal/batch/stages/__init__.py | 2 + .../batch/stages/serve_deployment_stage.py | 156 ++++++++++++ .../serve/builders/application_builders.py | 4 + .../processor/test_serve_deployment_proc.py | 236 ++++++++++++++++++ .../gpu/stages/test_serve_deployment_stage.py | 177 +++++++++++++ python/ray/llm/tests/conftest.py | 66 +++++ python/ray/serve/llm/__init__.py | 12 +- 10 files changed, 836 insertions(+), 2 deletions(-) create mode 100644 python/ray/llm/_internal/batch/processor/serve_deployment_proc.py create mode 100644 python/ray/llm/_internal/batch/stages/serve_deployment_stage.py create mode 100644 python/ray/llm/tests/batch/gpu/processor/test_serve_deployment_proc.py create mode 100644 python/ray/llm/tests/batch/gpu/stages/test_serve_deployment_stage.py diff --git a/python/ray/data/llm.py b/python/ray/data/llm.py index bdae67778cfb..0e8055771795 100644 --- a/python/ray/data/llm.py +++ b/python/ray/data/llm.py @@ -5,6 +5,7 @@ HttpRequestProcessorConfig as _HttpRequestProcessorConfig, Processor, ProcessorConfig as _ProcessorConfig, + ServeDeploymentProcessorConfig as _ServeDeploymentProcessorConfig, SGLangEngineProcessorConfig as _SGLangEngineProcessorConfig, vLLMEngineProcessorConfig as _vLLMEngineProcessorConfig, ) @@ -244,6 +245,109 @@ class SGLangEngineProcessorConfig(_SGLangEngineProcessorConfig): pass +@PublicAPI(stability="alpha") +class ServeDeploymentProcessorConfig(_ServeDeploymentProcessorConfig): + """The configuration for the serve deployment processor. + + This processor enables sharing serve deployments across multiple processors. This is useful + for sharing the same LLM engine across multiple processors. + + Args: + deployment_name: The name of the serve deployment to use. + app_name: The name of the serve application to use. + batch_size: The batch size to send to the serve deployment. Large batch sizes are + likely to saturate the compute resources and could achieve higher throughput. + On the other hand, small batch sizes are more fault-tolerant and could + reduce bubbles in the data pipeline. You can tune the batch size to balance + the throughput and fault-tolerance based on your use case. + dtype_mapping: The mapping of the request class name to the request class. If this is + not provided, the serve deployment is expected to accept a dict as the request. + concurrency: The number of workers for data parallelism. Default to 1. Note that this is + not the concurrency of the underlying serve deployment. + + Examples: + + .. testcode:: + :skipif: True + + import ray + from ray import serve + from ray.data.llm import ServeDeploymentProcessorConfig, build_llm_processor + from ray.serve.llm import ( + LLMConfig, + ModelLoadingConfig, + build_llm_deployment, + ) + from ray.serve.llm.openai_api_models import CompletionRequest + + llm_config = LLMConfig( + model_loading_config=ModelLoadingConfig( + model_id="facebook/opt-1.3b", + model_source="facebook/opt-1.3b", + ), + accelerator_type="A10G", + deployment_config=dict( + name="facebook", + autoscaling_config=dict( + min_replicas=1, + max_replicas=1, + ), + ), + engine_kwargs=dict( + enable_prefix_caching=True, + enable_chunked_prefill=True, + max_num_batched_tokens=4096, + ), + ) + + APP_NAME = "facebook_opt_app" + DEPLOYMENT_NAME = "facebook_deployment" + override_serve_options = dict(name=DEPLOYMENT_NAME) + + llm_app = build_llm_deployment( + llm_config, override_serve_options=override_serve_options + ) + app = serve.run(llm_app, name=APP_NAME) + + config = ServeDeploymentProcessorConfig( + deployment_name=DEPLOYMENT_NAME, + app_name=APP_NAME, + dtype_mapping={ + "CompletionRequest": CompletionRequest, + }, + concurrency=1, + batch_size=64, + ) + processor = build_llm_processor( + config, + preprocess=lambda row: dict( + method="completions", + dtype="CompletionRequest", + request_kwargs=dict( + model="facebook/opt-1.3b", + prompt=f"This is a prompt for {row['id']}", + stream=False, + ), + ), + postprocess=lambda row: dict( + resp=row["choices"][0]["text"], + ), + ) + + # The processor requires specific input columns, which depend on + # your processor config. You can use the following API to check + # the required input columns: + processor.log_input_column_names() + + ds = ray.data.range(10) + ds = processor(ds) + for row in ds.take_all(): + print(row) + """ + + pass + + @PublicAPI(stability="alpha") def build_llm_processor( config: ProcessorConfig, @@ -324,5 +428,6 @@ def build_llm_processor( "HttpRequestProcessorConfig", "vLLMEngineProcessorConfig", "SGLangEngineProcessorConfig", + "ServeDeploymentProcessorConfig", "build_llm_processor", ] diff --git a/python/ray/llm/_internal/batch/processor/__init__.py b/python/ray/llm/_internal/batch/processor/__init__.py index 99388bbbaaef..fed7d021fe8e 100644 --- a/python/ray/llm/_internal/batch/processor/__init__.py +++ b/python/ray/llm/_internal/batch/processor/__init__.py @@ -1,5 +1,6 @@ from .base import Processor, ProcessorBuilder, ProcessorConfig from .http_request_proc import HttpRequestProcessorConfig +from .serve_deployment_proc import ServeDeploymentProcessorConfig from .sglang_engine_proc import SGLangEngineProcessorConfig from .vllm_engine_proc import vLLMEngineProcessorConfig @@ -9,5 +10,6 @@ "HttpRequestProcessorConfig", "vLLMEngineProcessorConfig", "SGLangEngineProcessorConfig", + "ServeDeploymentProcessorConfig", "Processor", ] diff --git a/python/ray/llm/_internal/batch/processor/serve_deployment_proc.py b/python/ray/llm/_internal/batch/processor/serve_deployment_proc.py new file mode 100644 index 000000000000..5a0b4e930318 --- /dev/null +++ b/python/ray/llm/_internal/batch/processor/serve_deployment_proc.py @@ -0,0 +1,78 @@ +"""The processor that runs serve deployment.""" + +from typing import Any, Dict, Optional, Type + +from pydantic import Field + +from ray.data.block import UserDefinedFunction +from ray.llm._internal.batch.processor.base import ( + Processor, + ProcessorBuilder, + ProcessorConfig, +) +from ray.llm._internal.batch.stages import ( + ServeDeploymentStage, +) + + +class ServeDeploymentProcessorConfig(ProcessorConfig): + """The configuration for the serve deployment processor.""" + + # Configurations used to build the serve deployment + deployment_name: str = Field( + description="The name of the serve deployment to use.", + ) + app_name: str = Field( + description="The name of the serve application to use.", + default="default", + ) + dtype_mapping: Dict[str, Type[Any]] = Field( + description="A dictionary mapping data type names to their corresponding request classes for the serve deployment.", + default=None, + ) + + +def build_serve_deployment_processor( + config: ServeDeploymentProcessorConfig, + preprocess: Optional[UserDefinedFunction] = None, + postprocess: Optional[UserDefinedFunction] = None, +) -> Processor: + """ + Construct a processor that runs a serve deployment. + + Args: + config: The configuration for the processor. + preprocess: An optional lambda function that takes a row (dict) as input + and returns a preprocessed row (dict). The output row must contain the + required fields for the following processing stages. + postprocess: An optional lambda function that takes a row (dict) as input + and returns a postprocessed row (dict). + + Returns: + The constructed processor. + """ + stages = [ + ServeDeploymentStage( + fn_constructor_kwargs=dict( + deployment_name=config.deployment_name, + app_name=config.app_name, + dtype_mapping=config.dtype_mapping, + ), + map_batches_kwargs=dict( + concurrency=config.concurrency, + ), + ) + ] + # TODO (Kourosh): Add telemetry for ServeDeploymentStage + processor = Processor( + config, + stages, + preprocess=preprocess, + postprocess=postprocess, + ) + return processor + + +ProcessorBuilder.register( + ServeDeploymentProcessorConfig, build_serve_deployment_processor +) diff --git a/python/ray/llm/_internal/batch/stages/__init__.py b/python/ray/llm/_internal/batch/stages/__init__.py index 0742784cf592..a45d21fc7670 100644 --- a/python/ray/llm/_internal/batch/stages/__init__.py +++ b/python/ray/llm/_internal/batch/stages/__init__.py @@ -6,6 +6,7 @@ from ray.llm._internal.batch.stages.chat_template_stage import ChatTemplateStage from ray.llm._internal.batch.stages.http_request_stage import HttpRequestStage from ray.llm._internal.batch.stages.prepare_image_stage import PrepareImageStage +from ray.llm._internal.batch.stages.serve_deployment_stage import ServeDeploymentStage from ray.llm._internal.batch.stages.sglang_engine_stage import SGLangEngineStage from ray.llm._internal.batch.stages.tokenize_stage import DetokenizeStage, TokenizeStage from ray.llm._internal.batch.stages.vllm_engine_stage import vLLMEngineStage @@ -18,6 +19,7 @@ "DetokenizeStage", "vLLMEngineStage", "SGLangEngineStage", + "ServeDeploymentStage", "wrap_preprocess", "wrap_postprocess", "PrepareImageStage", diff --git a/python/ray/llm/_internal/batch/stages/serve_deployment_stage.py b/python/ray/llm/_internal/batch/stages/serve_deployment_stage.py new file mode 100644 index 000000000000..04626e734cd7 --- /dev/null +++ b/python/ray/llm/_internal/batch/stages/serve_deployment_stage.py @@ -0,0 +1,156 @@ +"""The stage that runs serve deployment.""" + +import asyncio +import logging +import time +import uuid +from typing import Any, AsyncIterator, Dict, List, Optional, Tuple, Type + +from pydantic import BaseModel + +from ray import serve +from ray.llm._internal.batch.stages.base import ( + StatefulStage, + StatefulStageUDF, +) + +logger = logging.getLogger(__name__) + + +class ServeDeploymentStageUDF(StatefulStageUDF): + def __init__( + self, + data_column: str, + expected_input_keys: List[str], + *, + deployment_name: str, + app_name: str, + dtype_mapping: Dict[str, Type[Any]], + ): + """ + Initialize the ServeDeploymentStageUDF. + + Args: + data_column: The data column name. + expected_input_keys: The expected input keys of the stage. + deployment_name: The name of the deployment. + app_name: The name of the deployment app. + dtype_mapping: The mapping of the request class name to the request class. + """ + super().__init__(data_column, expected_input_keys) + self._dtype_mapping = dtype_mapping + + # Using stream=True as LLM serve deployments return async generators. + # TODO (Kourosh): Generalize this to support non-streaming deployments. + self._dh = serve.get_deployment_handle(deployment_name, app_name).options( + stream=True + ) + self.request_id = 0 + + def _prepare_request( + self, row: Dict[str, Any] + ) -> Tuple[Dict[str, Any], Optional[Type[Any]], str]: + """ + Decorate the request with metadata related to the batch. + + Args: + row: The row. + + Returns: + A tuple of (decorated_request, dtype, method_name). dtype is the class of the request object and + can be None if the serve deployment accepts a raw dict. method_name is the name of the method to + invoke on the serve deployment. + """ + method = row.get("method") + dtype_name = row.get("dtype") + + dtype = None + if dtype_name is not None: + if not self._dtype_mapping or dtype_name not in self._dtype_mapping: + raise ValueError( + f"{dtype_name} must be provided in ServeDeploymentProcessorConfig's dtype_mapping." + ) + dtype = self._dtype_mapping[dtype_name] + + request_kwargs = row.pop("request_kwargs") + request = { + "request_id": str(self.request_id), + "idx_in_batch": row[self.IDX_IN_BATCH_COLUMN], + **request_kwargs, + } + self.request_id += 1 + + return request, dtype, method + + async def generate_async( + self, row: Dict[str, Any] + ) -> Tuple[Dict[str, Any], Dict[str, Any], float]: + """ + Run the serve deployment. + + Args: + row: The row to run the serve deployment on. + + Returns: + The response from the serve deployment. + """ + request, dtype, method = self._prepare_request(row) + request_obj = dtype(**request) if dtype else request + + if getattr(self._dh, method) is None: + raise ValueError(f"Method {method} not found in the serve deployment.") + + t = time.perf_counter() + # Directly using anext() requires python3.10 and above + output_data = await getattr(self._dh, method).remote(request_obj).__anext__() + time_taken = time.perf_counter() - t + + # Convert the output data to a dict if it is a Pydantic model. + if isinstance(output_data, BaseModel): + output_data = output_data.model_dump() + + return request, output_data, time_taken + + async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any]]: + """ + Run the serve deployment. + + Args: + batch: A list of rows to run the serve deployment on. + + Yields: + Dict[str, Any]: A dictionary containing the response from the serve deployment + along with processing metadata. + """ + batch_uuid = uuid.uuid4() + t = time.perf_counter() + tasks = [asyncio.create_task(self.generate_async(row)) for row in batch] + + for resp in asyncio.as_completed(tasks): + request, output, time_taken = await resp + + yield { + "request_id": request["request_id"], + self.IDX_IN_BATCH_COLUMN: request["idx_in_batch"], + "batch_uuid": batch_uuid.hex, + "time_taken": time_taken, + **output, + } + + batch_time_taken = time.perf_counter() - t + logger.info( + "[LLM Batch - Serve Deployment] Elapsed time for batch %s with size %d: %s", + batch_uuid.hex, + len(batch), + batch_time_taken, + ) + + +class ServeDeploymentStage(StatefulStage): + fn: Type[StatefulStageUDF] = ServeDeploymentStageUDF + + def get_required_input_keys(self) -> Dict[str, str]: + return { + "method": "Name of the method to invoke on the serve deployment.", + "request_kwargs": "The request_kwargs to construct the request to the serve deployment.", + } diff --git a/python/ray/llm/_internal/serve/builders/application_builders.py b/python/ray/llm/_internal/serve/builders/application_builders.py index 769477044e1d..c8de292f5cda 100644 --- a/python/ray/llm/_internal/serve/builders/application_builders.py +++ b/python/ray/llm/_internal/serve/builders/application_builders.py @@ -21,6 +21,7 @@ def build_llm_deployment( *, name_prefix: Optional[str] = None, deployment_kwargs: Optional[dict] = None, + override_serve_options: Optional[dict] = None, ) -> Application: name_prefix = name_prefix or "LLMServer:" deployment_kwargs = deployment_kwargs or {} @@ -29,6 +30,9 @@ def build_llm_deployment( name_prefix=name_prefix, ) + if override_serve_options: + deployment_options.update(override_serve_options) + return LLMDeployment.options(**deployment_options).bind( llm_config=llm_config, **deployment_kwargs ) diff --git a/python/ray/llm/tests/batch/gpu/processor/test_serve_deployment_proc.py b/python/ray/llm/tests/batch/gpu/processor/test_serve_deployment_proc.py new file mode 100644 index 000000000000..74f72b1eb916 --- /dev/null +++ b/python/ray/llm/tests/batch/gpu/processor/test_serve_deployment_proc.py @@ -0,0 +1,236 @@ +import sys +from typing import Any, Dict + +import pytest + +import ray +from ray import serve +from ray.llm._internal.batch.processor import ProcessorBuilder +from ray.llm._internal.batch.processor.serve_deployment_proc import ( + ServeDeploymentProcessorConfig, +) +from ray.serve.llm.openai_api_models import ChatCompletionRequest, CompletionRequest + + +@pytest.mark.parametrize( + "dtype_mapping", [None, {"CompletionRequest": CompletionRequest}] +) +def test_serve_deployment_processor(dtype_mapping): + app_name = "test_serve_deployment_processor_app" + deployment_name = "test_serve_deployment_name" + + config_kwargs = dict( + deployment_name=deployment_name, + app_name=app_name, + batch_size=16, + concurrency=1, + ) + if dtype_mapping is not None: + config_kwargs["dtype_mapping"] = dtype_mapping + config = ServeDeploymentProcessorConfig(**config_kwargs) + + processor = ProcessorBuilder.build(config) + assert processor.list_stage_names() == [ + "ServeDeploymentStage", + ] + + stage = processor.get_stage_by_name("ServeDeploymentStage") + assert stage.fn_constructor_kwargs == { + "deployment_name": deployment_name, + "app_name": app_name, + "dtype_mapping": dtype_mapping, + } + + assert stage.map_batches_kwargs == { + "concurrency": 1, + } + + +def test_simple_serve_deployment(serve_cleanup): + @serve.deployment + class SimpleServeDeployment: + # ServeDeploymentStageUDF expects an async generator. + async def add(self, request: Dict[str, Any]): + yield {"result": request["x"] + 1} + + app_name = "simple_serve_deployment_app" + deployment_name = "SimpleServeDeployment" + + serve.run(SimpleServeDeployment.bind(), name=app_name) + + config = ServeDeploymentProcessorConfig( + deployment_name=deployment_name, + app_name=app_name, + batch_size=16, + concurrency=1, + ) + + processor = ProcessorBuilder.build( + config, + preprocess=lambda row: dict( + method="add", + dtype=None, # Empty dtype since output is already dict format + request_kwargs=dict(x=row["id"]), + ), + postprocess=lambda row: dict( + resp=row["result"], + id=row["id"], + ), + ) + + ds = ray.data.range(60) + ds = ds.map(lambda x: {"id": x["id"]}) + ds = processor(ds) + + outs = ds.take_all() + assert len(outs) == 60 + assert all("resp" in out for out in outs) + assert all(out["resp"] == out["id"] + 1 for out in outs) + + +def test_completion_model(model_opt_125m, create_model_opt_125m_deployment): + deployment_name, app_name = create_model_opt_125m_deployment + config = ServeDeploymentProcessorConfig( + deployment_name=deployment_name, + app_name=app_name, + dtype_mapping={ + "CompletionRequest": CompletionRequest, + }, + batch_size=16, + concurrency=1, + ) + + processor = ProcessorBuilder.build( + config, + preprocess=lambda row: dict( + method="completions", + dtype="CompletionRequest", + request_kwargs=dict( + model=model_opt_125m, + prompt=row["prompt"], + stream=False, + ), + ), + postprocess=lambda row: dict( + resp=row["choices"][0]["text"], + ), + ) + + ds = ray.data.range(60) + ds = ds.map(lambda x: {"prompt": f"Hello {x['id']}"}) + ds = processor(ds) + ds = ds.materialize() + outs = ds.take_all() + assert len(outs) == 60 + assert all("resp" in out for out in outs) + + +def test_multi_turn_completion_model(model_opt_125m, create_model_opt_125m_deployment): + deployment_name, app_name = create_model_opt_125m_deployment + + config1 = ServeDeploymentProcessorConfig( + deployment_name=deployment_name, + app_name=app_name, + dtype_mapping={ + "CompletionRequest": CompletionRequest, + }, + # Use lower batch size to reduce resource usage as there are multiple processors + batch_size=4, + concurrency=1, + ) + + processor1 = ProcessorBuilder.build( + config1, + preprocess=lambda row: dict( + dtype="CompletionRequest", + method="completions", + request_kwargs=dict( + model=model_opt_125m, + prompt=row["prompt"], + stream=False, + ), + ), + postprocess=lambda row: dict( + prompt=row["choices"][0]["text"], + ), + ) + + config2 = ServeDeploymentProcessorConfig( + deployment_name=deployment_name, + app_name=app_name, + dtype_mapping={ + "CompletionRequest": CompletionRequest, + }, + batch_size=4, + concurrency=1, + ) + + processor2 = ProcessorBuilder.build( + config2, + preprocess=lambda row: dict( + dtype="CompletionRequest", + method="completions", + request_kwargs=dict( + model=model_opt_125m, + prompt=row["prompt"], + stream=False, + ), + ), + postprocess=lambda row: dict( + resp=row["choices"][0]["text"], + ), + ) + + ds = ray.data.range(60) + ds = ds.map(lambda x: {"prompt": f"Hello {x['id']}"}) + ds = processor1(ds) + ds = processor2(ds) + + ds = ds.materialize() + outs = ds.take_all() + assert len(outs) == 60 + assert all("resp" in out for out in outs) + + +def test_chat_model(model_opt_125m, create_model_opt_125m_deployment): + deployment_name, app_name = create_model_opt_125m_deployment + config = ServeDeploymentProcessorConfig( + deployment_name=deployment_name, + app_name=app_name, + dtype_mapping={ + "ChatCompletionRequest": ChatCompletionRequest, + }, + batch_size=16, + concurrency=1, + ) + + processor = ProcessorBuilder.build( + config, + preprocess=lambda row: dict( + dtype="ChatCompletionRequest", + method="chat", + request_kwargs=dict( + model=model_opt_125m, + messages=[ + {"role": "system", "content": "You are a helpful assistant"}, + {"role": "user", "content": f"Hello {row['id']}"}, + ], + stream=False, + ), + ), + postprocess=lambda row: dict( + resp=row["choices"][0]["message"]["content"], + ), + ) + + ds = ray.data.range(60) + ds = ds.map(lambda x: {"id": x["id"]}) + ds = processor(ds) + ds = ds.materialize() + outs = ds.take_all() + assert len(outs) == 60 + assert all("resp" in out for out in outs) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/batch/gpu/stages/test_serve_deployment_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_serve_deployment_stage.py new file mode 100644 index 000000000000..8e07fa739d92 --- /dev/null +++ b/python/ray/llm/tests/batch/gpu/stages/test_serve_deployment_stage.py @@ -0,0 +1,177 @@ +import sys +from unittest.mock import MagicMock, patch + +import pytest + +from ray.llm._internal.batch.stages.serve_deployment_stage import ( + ServeDeploymentStageUDF, +) +from ray.serve.llm.openai_api_models import ChatCompletionRequest, CompletionRequest + + +@pytest.fixture +def mock_serve_deployment_handle(): + """Mock the serve deployment handle and its methods.""" + with patch("ray.serve.get_deployment_handle") as mock_get_handle: + mock_handle = MagicMock() + mock_handle.options.return_value = mock_handle + + # Mock the chat and completions methods + mock_handle.chat = MagicMock() + mock_handle.completions = MagicMock() + + mock_get_handle.return_value = mock_handle + yield mock_handle + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "method,test_data", + [ + ( + "completions", + [ + { + "method": "completions", + "dtype": "CompletionRequest", + "request_kwargs": {"prompt": "Hello", "temperature": 0.7}, + }, + ], + ), + ( + "chat", + [ + { + "method": "chat", + "dtype": "ChatCompletionRequest", + "request_kwargs": { + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant", + }, + {"role": "user", "content": "Hello 1"}, + ] + }, + }, + ], + ), + ], +) +async def test_serve_deployment_udf_methods( + mock_serve_deployment_handle, method, test_data +): + """Test both completions and chat methods.""" + # Create a mock response that will be returned directly + mock_response = {"test": "response"} + + def mock_remote_call(*args, **kwargs): + async def mock_async_iterator(): + yield mock_response + + return mock_async_iterator() + + getattr(mock_serve_deployment_handle, method).remote.side_effect = mock_remote_call + + udf = ServeDeploymentStageUDF( + data_column="__data", + expected_input_keys=["method", "request_kwargs"], + deployment_name="test_deployment", + app_name="test_app", + dtype_mapping={ + "CompletionRequest": CompletionRequest, + "ChatCompletionRequest": ChatCompletionRequest, + }, + ) + + batch = {"__data": test_data} + + responses = [] + async for response in udf(batch): + responses.append(response) + + assert len(responses) == 1 + assert "__data" in responses[0] + assert len(responses[0]["__data"]) == len(test_data) + + for i, item in enumerate(responses[0]["__data"]): + assert "batch_uuid" in item + assert "time_taken" in item + assert item["request_id"] == str(i) + assert "test" in item # From the mock response + + assert getattr(mock_serve_deployment_handle, method).remote.call_count == len( + test_data + ) + + +@pytest.mark.asyncio +async def test_serve_deployment_invalid_method(mock_serve_deployment_handle): + """Test that invalid method raises error at runtime.""" + # Set up the mock to simulate a method that doesn't exist + mock_serve_deployment_handle.invalid_method = None + + udf = ServeDeploymentStageUDF( + data_column="__data", + expected_input_keys=["method", "request_kwargs"], + deployment_name="test_deployment", + app_name="test_app", + dtype_mapping={ + "CompletionRequest": CompletionRequest, + }, + ) + + batch = { + "__data": [ + { + "method": "invalid_method", + "dtype": "CompletionRequest", + "request_kwargs": {"prompt": "Hello", "temperature": 0.7}, + } + ] + } + + with pytest.raises( + ValueError, match="Method invalid_method not found in the serve deployment." + ): + async for _ in udf(batch): + pass + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "dtype_mapping", [None, {"ChatCompletionRequest": ChatCompletionRequest}] +) +async def test_serve_deployment_missing_dtype( + mock_serve_deployment_handle, dtype_mapping +): + """Test that missing dtype raises error at runtime.""" + + udf = ServeDeploymentStageUDF( + data_column="__data", + expected_input_keys=["method", "request_kwargs"], + deployment_name="test_deployment", + app_name="test_app", + dtype_mapping=dtype_mapping, + ) + + batch = { + "__data": [ + { + "method": "completions", + "dtype": "CompletionRequest", + "request_kwargs": {"prompt": "Hello", "temperature": 0.7}, + } + ] + } + + with pytest.raises( + ValueError, + match="CompletionRequest must be provided in ServeDeploymentProcessorConfig's dtype_mapping.", + ): + async for _ in udf(batch): + pass + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/llm/tests/conftest.py b/python/ray/llm/tests/conftest.py index 65291b778714..778c32131de5 100644 --- a/python/ray/llm/tests/conftest.py +++ b/python/ray/llm/tests/conftest.py @@ -5,6 +5,9 @@ import pytest import requests +from ray import serve +from ray.serve.llm import LLMConfig, ModelLoadingConfig, build_llm_deployment + S3_ARTIFACT_URL = "https://air-example-data.s3.amazonaws.com/" S3_ARTIFACT_LLM_OSSCI_URL = S3_ARTIFACT_URL + "rayllm-ossci/" @@ -167,3 +170,66 @@ def gpu_type(): print("Failed to import torch to get GPU type", flush=True) except ValueError as err: print(f"Failed to get the GPU type: {err}", flush=True) + + +@pytest.fixture +def serve_cleanup(): + yield + serve.shutdown() + + +@pytest.fixture +def create_model_opt_125m_deployment(gpu_type, model_opt_125m, serve_cleanup): + """Create a serve deployment for testing.""" + app_name = "test_serve_deployment_processor_app" + deployment_name = "test_deployment_name" + + chat_template = """ +{% if messages[0]['role'] == 'system' %} + {% set offset = 1 %} +{% else %} + {% set offset = 0 %} +{% endif %} + +{{ bos_token }} +{% for message in messages %} + {% if (message['role'] == 'user') != (loop.index0 % 2 == offset) %} + {{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }} + {% endif %} + + {{ '<|im_start|>' + message['role'] + '\n' + message['content'] | trim + '<|im_end|>\n' }} +{% endfor %} + +{% if add_generation_prompt %} + {{ '<|im_start|>assistant\n' }} +{% endif %} + """ + + # Create a vLLM serve deployment + llm_config = LLMConfig( + model_loading_config=ModelLoadingConfig( + model_id=model_opt_125m, + model_source=model_opt_125m, + ), + accelerator_type=gpu_type, + deployment_config=dict( + name="test_deployment_name", # This is not necessarily the final deployment name + autoscaling_config=dict( + min_replicas=1, + max_replicas=1, + ), + ), + engine_kwargs=dict( + enable_prefix_caching=True, + enable_chunked_prefill=True, + max_num_batched_tokens=4096, + # Add chat template for OPT model to enable chat API + chat_template=chat_template, + ), + ) + + llm_app = build_llm_deployment( + llm_config, override_serve_options=dict(name=deployment_name) + ) + serve.run(llm_app, name=app_name) + yield deployment_name, app_name diff --git a/python/ray/serve/llm/__init__.py b/python/ray/serve/llm/__init__.py index 3b04709a0bae..fea4ce70c2f2 100644 --- a/python/ray/serve/llm/__init__.py +++ b/python/ray/serve/llm/__init__.py @@ -93,7 +93,10 @@ class LLMRouter(_LLMRouter): @PublicAPI(stability="alpha") def build_llm_deployment( - llm_config: "LLMConfig", *, name_prefix: Optional[str] = None + llm_config: "LLMConfig", + *, + name_prefix: Optional[str] = None, + override_serve_options: Optional[dict] = None, ) -> "Application": """Helper to build a single vllm deployment from the given llm config. @@ -150,13 +153,18 @@ async def query_model(model_handle): Args: llm_config: The llm config to build vllm deployment. name_prefix: Optional prefix to be used for the deployment name. + override_serve_options: Optional serve options to override the original serve options based on the llm_config. Returns: The configured Ray Serve Application for vllm deployment. """ from ray.llm._internal.serve.builders import build_llm_deployment - return build_llm_deployment(llm_config=llm_config, name_prefix=name_prefix) + return build_llm_deployment( + llm_config=llm_config, + name_prefix=name_prefix, + override_serve_options=override_serve_options, + ) @PublicAPI(stability="alpha") From 7e32c78a03ed5ded8ff9e038f43a26e1e376a379 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 27 Aug 2025 17:56:56 -0700 Subject: [PATCH 0910/1566] Revert "Support cpu tensor transfer with NIXL in GPU Objects" (#56026) Reverts ray-project/ray#55793 fixing lint check Signed-off-by: Douglas Strodtman --- .../channel/serialization_context.py | 4 +-- .../collective/collective_tensor_transport.py | 16 ++-------- .../collective/nixl_tensor_transport.py | 13 +-------- .../collective/tensor_transport_manager.py | 2 ++ python/ray/experimental/collective/util.py | 17 +---------- .../gpu_object_manager/gpu_object_store.py | 29 ++++++++++--------- python/ray/tests/test_gpu_objects_nixl.py | 24 +++++---------- python/ray/util/collective/types.py | 3 -- 8 files changed, 29 insertions(+), 79 deletions(-) diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index d06a2d9e098b..40784b38f409 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -97,9 +97,7 @@ def serialize_tensor( from ray.experimental.channel import ChannelContext ctx = ChannelContext.get_current() - if self._use_external_transport and ( - ctx._torch_device is None or ctx._torch_device == tensor.device - ): + if self._use_external_transport and tensor.device == ctx.torch_device: # External transport is enabled and we found a tensor that matches # our device. Add the actual tensor to a buffer. The buffer of # tensors should later be popped by the caller and sent via diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index f6766cbd6f36..7bf39aed7b25 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -40,19 +40,8 @@ def __ray_get_tensor_transport_metadata__( # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) - tensor_meta = [] - device = None - if gpu_object: - device = gpu_object[0].device - for t in gpu_object: - if t.device.type != device.type: - raise ValueError( - "All tensors in one GPU object must be the same device type." - ) - tensor_meta.append((t.shape, t.dtype)) return CollectiveTransportMetadata( - tensor_meta=tensor_meta, - tensor_device=device, + tensor_meta=[(t.shape, t.dtype) for t in gpu_object], ) # Submit a Ray actor task to the source actor to get the tensor metadata. @@ -141,11 +130,10 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CollectiveCommunicatorMetadata, + device: "torch.device", ): import ray.util.collective as collective - device = tensor_transport_metadata.tensor_device - for tensor in tensors: if tensor.device.type != device.type: # TODO(swang): Right now there is no way to catch this error diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index dcedbc11bf41..eb86f0cb9a3d 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -45,25 +45,14 @@ def __ray_get_tensor_transport_metadata__( from ray.util.collective.collective import get_group_handle nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) - device = None - tensor_meta = [] if gpu_object: serialized_descs, agent_meta = nixl_backend.get_nixl_metadata( gpu_object ) - # We assume all tensors in one GPU object have the same device type. - device = gpu_object[0].device - for t in gpu_object: - if t.device.type != device.type: - raise ValueError( - "All tensors in one GPU object must be the same device type." - ) - tensor_meta.append((t.shape, t.dtype)) else: serialized_descs, agent_meta = None, None return NixlTransportMetadata( - tensor_meta=tensor_meta, - tensor_device=device, + tensor_meta=[(t.shape, t.dtype) for t in gpu_object], nixl_serialized_descs=serialized_descs, nixl_agent_meta=agent_meta, ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 18d554d2c6d7..9f3896699393 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -143,6 +143,7 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CommunicatorMetadata, + device: "torch.device", ): """ Send multiple tensors to the destination actor. @@ -150,4 +151,5 @@ def send_multiple_tensors( Args: tensors: The tensors to send. communicator_metadata: The communicator metadata for the send/recv operation. + device: The device to send the tensors to. """ diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index 6e9297dba37c..fc6ef64229fb 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -1,4 +1,4 @@ -from typing import Tuple, TYPE_CHECKING +from typing import Tuple from contextlib import closing import socket @@ -11,9 +11,6 @@ CollectiveTensorTransport, ) -if TYPE_CHECKING: - import torch - # Singleton instances for tensor transport managers _nixl_tensor_transport_manager = None _collective_tensor_transport_manager = None @@ -44,18 +41,6 @@ def get_tensor_transport_manager( raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") -def device_match_transport(device: "torch.device", tensor_transport: Backend) -> bool: - """Check if the device matches the transport.""" - if tensor_transport == Backend.NIXL: - return device.type == "cuda" or device.type == "cpu" - elif tensor_transport == Backend.TORCH_GLOO: - return device.type == "cpu" - elif tensor_transport == Backend.NCCL: - return device.type == "cuda" - else: - raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") - - def find_free_port() -> int: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: s.bind(("", 0)) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 01fdbccaf43e..93fcbc20f54d 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -11,9 +11,6 @@ TensorTransportMetadata, ) -from ray.experimental.collective import get_tensor_transport_manager -from ray.experimental.collective.util import device_match_transport - try: import torch except ImportError: @@ -28,6 +25,14 @@ TensorTransportEnum.NIXL: Backend.NIXL, } +COLLECTIVE_BACKEND_TO_TORCH_DEVICE = { + Backend.NCCL: torch.device("cuda"), + Backend.TORCH_GLOO: torch.device("cpu"), + # TODO(Qiaolin-Yu): NIXL could also transfer tensors from CPU to CPU. + # More details in https://github.com/ray-project/ray/issues/55587. + Backend.NIXL: torch.device("cuda"), +} + def _tensor_transport_to_collective_backend( tensor_transport: TensorTransportEnum, @@ -56,17 +61,15 @@ def __ray_send__( tensors = gpu_object_store.get_object(obj_id) backend = collective.get_group_handle(communicator_meta.communicator_name).backend() + device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] + + from ray.experimental.collective import get_tensor_transport_manager tensor_transport_manager = get_tensor_transport_manager(backend) - if tensors and not device_match_transport( - tensor_transport_meta.tensor_device, backend - ): - raise ValueError( - f"Tensor transport backend {backend} does not support tensor transfer on device {tensor_transport_meta.tensor_device}." - ) tensor_transport_manager.send_multiple_tensors( tensors, communicator_meta, + device=device, ) @@ -79,16 +82,14 @@ def __ray_recv__( """Helper function that runs on the dst actor to receive tensors from the src actor.""" from ray._private.worker import global_worker + from ray.experimental.collective import get_tensor_transport_manager + backend = collective.get_group_handle(communicator_meta.communicator_name).backend() - device = tensor_transport_meta.tensor_device + device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] tensor_meta = tensor_transport_meta.tensor_meta gpu_object_store = global_worker.gpu_object_manager.gpu_object_store - if tensor_meta and not device_match_transport(device, backend): - raise ValueError( - f"Tensor transport backend {backend} does not support tensor transfer on device {device}." - ) tensors = [] for meta in tensor_meta: shape, dtype = meta diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/test_gpu_objects_nixl.py index 3a65e8ea7eb9..e46a24358d37 100644 --- a/python/ray/tests/test_gpu_objects_nixl.py +++ b/python/ray/tests/test_gpu_objects_nixl.py @@ -7,11 +7,10 @@ @ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) class GPUTestActor: @ray.method(tensor_transport="nixl") - def echo(self, data, device): - return data.to(device) + def echo(self, data): + return data.to("cuda") - def sum(self, data, device): - assert data.device.type == device + def sum(self, data): return data.sum().item() @@ -24,21 +23,12 @@ def test_p2p(ray_start_regular): # Create test tensor tensor = torch.tensor([1, 2, 3]) - - tensor1 = torch.tensor([4, 5, 6]) - - # Test GPU to GPU transfer - ref = src_actor.echo.remote(tensor, "cuda") + ref = src_actor.echo.remote(tensor) # Trigger tensor transfer from src to dst actor - result = dst_actor.sum.remote(ref, "cuda") + result = dst_actor.sum.remote(ref) assert tensor.sum().item() == ray.get(result) - # Test CPU to CPU transfer - ref1 = src_actor.echo.remote(tensor1, "cpu") - result1 = dst_actor.sum.remote(ref1, "cpu") - assert tensor1.sum().item() == ray.get(result1) - @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) def test_intra_gpu_tensor_transfer(ray_start_regular): @@ -47,8 +37,8 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): tensor = torch.tensor([1, 2, 3]) # Intra-actor communication for pure GPU tensors - ref = actor.echo.remote(tensor, "cuda") - result = actor.sum.remote(ref, "cuda") + ref = actor.echo.remote(tensor) + result = actor.sum.remote(ref) assert tensor.sum().item() == ray.get(result) diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index e46737c5a033..06a05ae71549 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -61,12 +61,9 @@ class TensorTransportMetadata: Args: tensor_meta: A list of tuples, each containing the shape and dtype of a tensor. - tensor_device: The device of the tensor. Currently, we require all tensors in the - list have the same device type. """ tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] - tensor_device: Optional["torch.device"] = None @dataclass From 29ab2f555e126a0fb82b142e9cb9bef4a674338a Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Wed, 27 Aug 2025 19:42:11 -0700 Subject: [PATCH 0911/1566] Fix GPU metrics (#56009) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Bugs introduced in #52102 Two bugs: - proc is a TypedDict so it needs to be fetched via `proc["pid"]` instead of `proc.pid`. - Changing `processes_pid` is backwards-incompatible change that ends up changing the dashboard APIs that power the ray dashboard. Maintain backwards-compatibility Verified fix: Metrics work again: Screenshot 2025-08-27 at 12 22 40 PM Ray Dashboard works again: Screenshot 2025-08-27 at 12 21 51 PM ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../ray/dashboard/modules/node/datacenter.py | 2 +- .../modules/reporter/gpu_providers.py | 6 +- .../modules/reporter/reporter_agent.py | 19 +- .../modules/reporter/tests/test_reporter.py | 326 +++++++++++++++--- 4 files changed, 299 insertions(+), 54 deletions(-) diff --git a/python/ray/dashboard/modules/node/datacenter.py b/python/ray/dashboard/modules/node/datacenter.py index 941702822980..3fa86de65e92 100644 --- a/python/ray/dashboard/modules/node/datacenter.py +++ b/python/ray/dashboard/modules/node/datacenter.py @@ -221,7 +221,7 @@ async def _get_actor_info(actor: Optional[dict]) -> Optional[dict]: break for gpu_stats in node_physical_stats.get("gpus", []): - # gpu_stats.get("processes") can be None, an empty list or a + # gpu_stats.get("processesPids") can be None, an empty list or a # list of dictionaries. for process in gpu_stats.get("processesPids") or []: if process["pid"] == pid: diff --git a/python/ray/dashboard/modules/reporter/gpu_providers.py b/python/ray/dashboard/modules/reporter/gpu_providers.py index b50a417c1c48..431bc9f10beb 100644 --- a/python/ray/dashboard/modules/reporter/gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/gpu_providers.py @@ -230,9 +230,9 @@ def _parse_nvsmi_pmon_output( 1 7175 C 86 26 - - - - ray::TorchGPUWo 2 - - - - - - - - - - Returns a dict mapping GPU index to list of ProcessGPUInfo. + Returns a dict mapping GPU index to dict of pid to ProcessGPUInfo. """ - process_utilizations = defaultdict(list) + process_utilizations = defaultdict(dict) lines = nvsmi_stdout.splitlines() # Get the first line that is started with # table_header = None @@ -275,7 +275,7 @@ def _parse_nvsmi_pmon_output( ), # Convert percentage to MB gpu_utilization=sm, ) - process_utilizations[gpu_id].append(process_info) + process_utilizations[gpu_id][pid] = process_info return process_utilizations def _get_pynvml_gpu_usage(self) -> List[GpuUtilizationInfo]: diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index ea842e8eacc7..7a7b1ec83d07 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -893,7 +893,7 @@ def _get_agent_proc(self) -> psutil.Process: def _generate_worker_key(self, proc: psutil.Process) -> Tuple[int, float]: return (proc.pid, proc.create_time()) - def _get_workers(self, gpus: Optional[List[GpuUtilizationInfo]] = None): + def _get_worker_processes(self): raylet_proc = self._get_raylet_proc() if raylet_proc is None: return [] @@ -910,7 +910,13 @@ def _get_workers(self, gpus: Optional[List[GpuUtilizationInfo]] = None): self._generate_worker_key(proc): proc for proc in raylet_proc.children() } + return workers + def _get_workers(self, gpus: Optional[List[GpuUtilizationInfo]] = None): + workers = self._get_worker_processes() + if not workers: + return [] + else: # We should keep `raylet_proc.children()` in `self` because # when `cpu_percent` is first called, it returns the meaningless 0. # See more: https://github.com/ray-project/ray/issues/29848 @@ -937,7 +943,7 @@ def _get_workers(self, gpus: Optional[List[GpuUtilizationInfo]] = None): processes = gpu.get("processes_pids") if processes: for proc in processes.values(): - gpu_pid_mapping[proc.pid].append(proc) + gpu_pid_mapping[proc["pid"]].append(proc) result = [] for w in self._workers.values(): @@ -1763,6 +1769,15 @@ def _compose_stats_payload( self._metrics_agent.clean_all_dead_worker_metrics() + # Convert processes_pids back to a list of dictionaries to maintain backwards-compatibility + for gpu in stats["gpus"]: + if isinstance(gpu.get("processes_pids"), dict): + gpu["processes_pids"] = list(gpu["processes_pids"].values()) + + # TODO(aguo): Add a pydantic model for this dict to maintain compatibility + # with the Ray Dashboard API and UI code. + + # NOTE: This converts keys to "Google style", (e.g: "processes_pids" -> "processesPids") return jsonify_asdict(stats) async def run(self, server): diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 9390275b0297..58fd949584a7 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -509,58 +509,256 @@ def test_report_per_component_stats_gpu(): """ GPU_MEMORY = 22731 - STATS_TEMPLATE["gpus"] = [ - { - "index": 0, - "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b396", - "name": "NVIDIA A10G", - "utilization_gpu": 0, # NOTE: this is a dummy value - "memory_used": 0, - "memory_total": GPU_MEMORY, - "processes_pids": { - 2297322: { - "pid": 2297322, - "gpu_memory_usage": 26, - "gpu_utilization": None, - } + # Prepare the stats data that would be collected by _collect_stats + mock_collected_stats = { + "now": 1614826393.975763, + "hostname": "fake_hostname.local", + "ip": "127.0.0.1", + "cpu": 57.4, + "cpus": (8, 4), + "mem": (17179869184, 5723353088, 66.7, 9234341888), + "shm": 456, + "workers": [ + { + "memory_info": Bunch( + rss=55934976, vms=7026937856, pfaults=15354, pageins=0 + ), + "memory_full_info": Bunch(uss=51428381), + "cpu_percent": 0.0, + "num_fds": 10, + "cmdline": ["ray::IDLE", "", "", "", "", "", "", "", "", "", "", ""], + "create_time": 1614826391.338613, + "pid": 7174, + "cpu_times": Bunch( + user=0.607899328, + system=0.274044032, + children_user=0.0, + children_system=0.0, + ), }, - }, - { - "index": 1, - "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b397", - "name": "NVIDIA A10G", - "utilization_gpu": 1, - "memory_used": 1, - "memory_total": GPU_MEMORY, - "processes_pids": { - 2297332: { - "pid": 2297332, - "gpu_memory_usage": 26, - "gpu_utilization": None, - } + { + "memory_info": Bunch( + rss=55934976, vms=7026937856, pfaults=15354, pageins=0 + ), + "memory_full_info": Bunch(uss=51428381), + "cpu_percent": 10.0, + "num_fds": 5, + "cmdline": [ + "ray::TorchGPUWorker.dummy_method", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + ], + "create_time": 1614826391.338613, + "pid": 7175, + "cpu_times": Bunch( + user=0.607899328, + system=0.274044032, + children_user=0.0, + children_system=0.0, + ), }, + ], + "gcs": { + "memory_info": Bunch(rss=18354171, vms=6921486336, pfaults=6203, pageins=2), + "memory_full_info": Bunch(uss=51428384), + "cpu_percent": 5.0, + "num_fds": 14, + "cmdline": ["fake gcs cmdline"], + "create_time": 1614826395.274854, + "pid": 7154, + "cpu_times": Bunch( + user=0.01683138, + system=0.045913716, + children_user=0.0, + children_system=0.0, + ), }, - ] - gpu_worker = STATS_TEMPLATE["workers"][0].copy() - gpu_worker.update( - {"pid": 7175, "cmdline": ["ray::TorchGPUWorker.dummy_method", ""]} - ) + "raylet": { + "memory_info": Bunch(rss=18354176, vms=6921486336, pfaults=6206, pageins=3), + "cpu_percent": 0.0, + "num_fds": 10, + "cmdline": ["fake raylet cmdline"], + "create_time": 1614826390.274854, + "pid": 7153, + "cpu_times": Bunch( + user=0.03683138, + system=0.035913716, + children_user=0.0, + children_system=0.0, + ), + }, + "agent": { + "memory_info": Bunch(rss=18354176, vms=6921486336, pfaults=6206, pageins=3), + "cpu_percent": 0.0, + "num_fds": 10, + "cmdline": ["fake raylet cmdline"], + "create_time": 1614826390.274854, + "pid": 7154, + "cpu_times": Bunch( + user=0.03683138, + system=0.035913716, + children_user=0.0, + children_system=0.0, + ), + }, + "bootTime": 1612934656.0, + "loadAvg": ((4.4521484375, 3.61083984375, 3.5400390625), (0.56, 0.45, 0.44)), + "disk_io": (100, 100, 100, 100), + "disk_io_speed": (100, 100, 100, 100), + "disk": { + "/": Bunch( + total=250790436864, used=11316781056, free=22748921856, percent=33.2 + ), + "/tmp": Bunch( + total=250790436864, used=209532035072, free=22748921856, percent=90.2 + ), + }, + "gpus": [ + { + "index": 0, + "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b396", + "name": "NVIDIA A10G", + "utilization_gpu": 0, # NOTE: this is a dummy value + "memory_used": 0, + "memory_total": GPU_MEMORY, + "processes_pids": { + 2297322: { + "pid": 2297322, + "gpu_memory_usage": 26, + "gpu_utilization": None, + } + }, + }, + { + "index": 1, + "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b397", + "name": "NVIDIA A10G", + "utilization_gpu": 1, + "memory_used": 1, + "memory_total": GPU_MEMORY, + "processes_pids": { + 2297332: { + "pid": 2297332, + "gpu_memory_usage": 26, + "gpu_utilization": None, + } + }, + }, + ], + "gpu_processes": {}, + "tpus": [], + "network": (13621160960, 11914936320), + "network_speed": (8.435062128545095, 7.378462703142336), + "cmdline": ["fake raylet cmdline"], + } + gpu_metrics_aggregatd = { "component_gpu_utilization": 0, "component_gpu_memory_usage": 0, } - STATS_TEMPLATE["workers"].append(gpu_worker) + def create_mock_agent_proc(): + """Helper function to create a mock agent process.""" + mock_agent_proc = MagicMock() + mock_agent_proc.pid = agent_proc_pid + mock_agent_proc.create_time.return_value = agent_proc_create_time + return mock_agent_proc + + agent_proc_pid = 22334 + agent_proc_create_time = 1614826392.338613 + agent_proc_mock = create_mock_agent_proc() + + def create_mock_worker_processes(): + """Helper function to create mock worker processes for testing.""" + mock_workers = {} + + # Create mock worker processes that match what _get_workers expects + for i, worker_data in enumerate(mock_collected_stats["workers"]): + mock_proc = MagicMock() + mock_proc.status.return_value = psutil.STATUS_RUNNING + mock_proc.as_dict.return_value = { + "pid": worker_data["pid"], + "cmdline": worker_data["cmdline"], + "cpu_percent": worker_data["cpu_percent"], + "memory_info": worker_data["memory_info"], + "memory_full_info": worker_data["memory_full_info"], + "num_fds": worker_data["num_fds"], + "create_time": worker_data["create_time"], + "cpu_times": worker_data["cpu_times"], + } + mock_workers[f"worker_{i}"] = mock_proc + + # Add the agent process to the mock workers + mock_workers[agent._generate_worker_key(agent_proc_mock)] = agent_proc_mock + return mock_workers + + # Mock all the individual methods that _collect_stats calls to return predictable data + mock_patches = { + "_get_network_stats": lambda: (13621160960, 11914936320), + "_get_disk_io_stats": lambda: (100, 100, 100, 100), + "_get_gpu_usage": lambda: mock_collected_stats["gpus"], + "_get_cpu_percent": lambda _: 57.4, + "_get_mem_usage": lambda: (17179869184, 5723353088, 66.7, 9234341888), + "_get_shm_usage": lambda: 456, + "_get_raylet": lambda: mock_collected_stats["raylet"], + "_get_agent": lambda: mock_collected_stats["agent"], + "_get_boot_time": lambda: 1612934656.0, + "_get_load_avg": lambda: ( + (4.4521484375, 3.61083984375, 3.5400390625), + (0.56, 0.45, 0.44), + ), + "_get_disk_usage": lambda: mock_collected_stats["disk"], + "_get_tpu_usage": lambda: [], + "_get_gcs": lambda: mock_collected_stats["gcs"], + "_get_worker_processes": lambda: create_mock_worker_processes(), + "_get_agent_proc": lambda: agent_proc_mock, + } + + with patch.multiple(agent, **mock_patches): + # Call _collect_stats to actually run through the collection process + collected_stats_result = agent._collect_stats() + + # Verify that _collect_stats was called and returned the expected structure + assert "gpus" in collected_stats_result + assert "workers" in collected_stats_result + assert "gcs" in collected_stats_result # Should be present for head node + assert len(collected_stats_result["gpus"]) == 2 + assert len(collected_stats_result["workers"]) == 2 + assert collected_stats_result["cpu"] == 57.4 + assert collected_stats_result["mem"] == ( + 17179869184, + 5723353088, + 66.7, + 9234341888, + ) + assert collected_stats_result["shm"] == 456 + assert collected_stats_result["network"] == (13621160960, 11914936320) + assert collected_stats_result["disk_io"] == (100, 100, 100, 100) + + # Now add the GPU processes data to the collected stats result NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS = ( "# gpu pid type sm mem enc dec jpg ofa command \n" "# Idx # C/G % % % % % % name \n" " 0 7175 C 84 26 - - - - ray::TorchGPUWo\n" " 1 7175 C 86 26 - - - - ray::TorchGPUWo\n" ) - STATS_TEMPLATE["gpu_processes"] = NvidiaGpuProvider._parse_nvsmi_pmon_output( - NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS, STATS_TEMPLATE["gpus"] + collected_stats_result[ + "gpu_processes" + ] = NvidiaGpuProvider._parse_nvsmi_pmon_output( + NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS, collected_stats_result["gpus"] ) - records = agent._to_records(STATS_TEMPLATE, {}) + + # Use the collected stats result for _to_records instead of STATS_TEMPLATE + records = agent._to_records(collected_stats_result, {}) gpu_component_records = defaultdict(list) @@ -587,21 +785,50 @@ def test_report_per_component_stats_gpu(): " 0 7176 C 77 22 - - - - ray::TorchGPUWo\n" " 1 - - - - - - - - - \n" ) - STATS_TEMPLATE["gpu_processes"] = NvidiaGpuProvider._parse_nvsmi_pmon_output( - NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS, STATS_TEMPLATE["gpus"] + + # Update the collected stats result for the second test scenario + collected_stats_result[ + "gpu_processes" + ] = NvidiaGpuProvider._parse_nvsmi_pmon_output( + NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS, collected_stats_result["gpus"] ) # Move process from GPU 1 to GPU 0 - gpu1_process = STATS_TEMPLATE["gpus"][1]["processes_pids"][2297332] - STATS_TEMPLATE["gpus"][0]["processes_pids"][2297332] = gpu1_process - STATS_TEMPLATE["gpus"][1]["processes_pids"] = {} + gpu1_process = collected_stats_result["gpus"][1]["processes_pids"][2297332] + collected_stats_result["gpus"][0]["processes_pids"][2297332] = gpu1_process + collected_stats_result["gpus"][1]["processes_pids"] = {} - gpu_worker = gpu_worker.copy() - gpu_worker.update( - {"pid": 7176, "cmdline": ["ray::TorchGPUWorker.dummy_method_2", ""]} - ) - STATS_TEMPLATE["workers"].append(gpu_worker) + # Add the second GPU worker to the collected stats result + gpu_worker_2 = { + "memory_info": Bunch(rss=55934976, vms=7026937856, pfaults=15354, pageins=0), + "memory_full_info": Bunch(uss=51428381), + "cpu_percent": 15.0, + "num_fds": 6, + "cmdline": [ + "ray::TorchGPUWorker.dummy_method_2", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + ], + "create_time": 1614826391.338613, + "pid": 7176, + "cpu_times": Bunch( + user=0.607899328, + system=0.274044032, + children_user=0.0, + children_system=0.0, + ), + } + collected_stats_result["workers"].append(gpu_worker_2) - records = agent._to_records(STATS_TEMPLATE, {}) + records = agent._to_records(collected_stats_result, {}) gpu_component_records = defaultdict(list) for record in records: @@ -1017,6 +1244,9 @@ def _get_agent_proc(self): def _generate_worker_key(self, proc): return (proc.pid, proc.create_time()) + def _get_worker_processes(self): + return ReporterAgent._get_worker_processes(self) + obj = ReporterAgentDummy() try: From 5675cbea0af488629ad8243fd4e4aeeb59048b12 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 27 Aug 2025 20:09:31 -0700 Subject: [PATCH 0912/1566] [release test] change job title to release test images (#56024) these images are specifically built for running release tests on anyscale. they contain test dependencies that are not part of a normal container image for release only job label text change; no function change. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/build.rayci.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index 9c7a816c6eae..708b7b622aaf 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -67,7 +67,7 @@ steps: depends_on: - ray-mlcudabaseextra - - label: ":tapioca: build: anyscale py{{matrix.python}}-{{matrix.platform}} docker" + - label: ":tapioca: build: ray py{{matrix.python}}-{{matrix.platform}} image for release tests" key: anyscalebuild instance_type: release-medium tags: @@ -93,7 +93,7 @@ steps: - cu12.3.2-cudnn9 - cpu - - label: ":tapioca: build: anyscale-llm py{{matrix}} docker" + - label: ":tapioca: build: ray-llm py{{matrix}} image for release tests" key: anyscalellmbuild instance_type: release-medium tags: @@ -108,7 +108,7 @@ steps: matrix: - "3.11" - - label: ":tapioca: build: anyscale-ml py{{matrix}} docker" + - label: ":tapioca: build: ray-ml py{{matrix}} image for release tests" key: anyscalemlbuild instance_type: release-medium tags: From 00e08120f0735c2abed81cc7c4d79435345792bd Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 27 Aug 2025 21:48:41 -0700 Subject: [PATCH 0913/1566] [core] use prebuilt redis CLI and server binaries for linux (#55975) avoid building from source. the binaries are built with ubuntu 20.04, which is debian bookworm compatible. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 24 ++++++------------------ WORKSPACE | 14 ++++++++++++++ bazel/BUILD.bazel | 40 ++++++++++++++++++++++++++++++++++++++++ 3 files changed, 60 insertions(+), 18 deletions(-) diff --git a/BUILD.bazel b/BUILD.bazel index 47afe3ea98a3..f9a5539a67a4 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -87,27 +87,11 @@ config_setting( flag_values = {":jemalloc_flag": "true"}, ) -config_setting( - name = "linux_x86_64", - constraint_values = [ - "@platforms//os:linux", - "@platforms//cpu:x86_64", - ], -) - -config_setting( - name = "darwin_aarch64", - constraint_values = [ - "@platforms//os:osx", - "@platforms//cpu:aarch64", - ], -) - alias( name = "uv_file", actual = select({ - "//:linux_x86_64": "@uv_x86_64-linux//:file", - "//:darwin_aarch64": "@uv_aarch64-darwin//:file", + "//bazel:linux_x86_64_config": "@uv_x86_64-linux//:file", + "//bazel:osx_arm64_config": "@uv_aarch64-darwin//:file", "//conditions:default": "@uv_x86_64-linux//:file", }), ) @@ -296,6 +280,8 @@ alias( name = "redis-server", actual = select({ "@platforms//os:windows": "@com_github_tporadowski_redis_bin//:redis-server.exe", + "//bazel:linux_x86_64_config": "@redis_linux_x86_64//:redis-server", + "//bazel:linux_arm64_config": "@redis_linux_arm64//:redis-server", "//conditions:default": "@com_github_antirez_redis//:redis-server", }), ) @@ -304,6 +290,8 @@ alias( name = "redis-cli", actual = select({ "@platforms//os:windows": "@com_github_tporadowski_redis_bin//:redis-cli.exe", + "//bazel:linux_x86_64_config": "@redis_linux_x86_64//:redis-cli", + "//bazel:linux_arm64_config": "@redis_linux_arm64//:redis-cli", "//conditions:default": "@com_github_antirez_redis//:redis-cli", }), ) diff --git a/WORKSPACE b/WORKSPACE index 086d69f189ca..44b7942314b0 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -151,6 +151,20 @@ http_archive( ], ) +http_archive( + name = "redis_linux_x86_64", + build_file_content = """exports_files(["redis-server", "redis-cli"])""", + sha256 = "4ae33c10059ed52202a12929d269deea46fac81b8e02e722d30cb22ceb3ed678", + urls = ["https://github.com/ray-project/redis/releases/download/7.2.3/redis-linux-x86_64.tar.gz"], +) + +http_archive( + name = "redis_linux_arm64", + build_file_content = """exports_files(["redis-server", "redis-cli"])""", + sha256 = "2d1085a4f69477e1f44cbddd531e593f0712532b1ade9beab0b221a0cb01f298", + urls = ["https://github.com/ray-project/redis/releases/download/7.2.3/redis-linux-arm64.tar.gz"], +) + load("@com_github_storypku_bazel_iwyu//bazel:dependencies.bzl", "bazel_iwyu_dependencies") bazel_iwyu_dependencies() diff --git a/bazel/BUILD.bazel b/bazel/BUILD.bazel index 2e4ce8f51b18..7aa94b909bc0 100644 --- a/bazel/BUILD.bazel +++ b/bazel/BUILD.bazel @@ -20,3 +20,43 @@ py_library( ], visibility = ["//visibility:public"], ) + +config_setting( + name = "linux_x86_64_config", + constraint_values = [ + "@platforms//os:linux", + "@platforms//cpu:x86_64", + ], +) + +config_setting( + name = "linux_arm64_config", + constraint_values = [ + "@platforms//os:linux", + "@platforms//cpu:arm64", + ], +) + +config_setting( + name = "osx_x86_64_config", + constraint_values = [ + "@platforms//os:osx", + "@platforms//cpu:x86_64", + ], +) + +config_setting( + name = "osx_arm64_config", + constraint_values = [ + "@platforms//os:osx", + "@platforms//cpu:arm64", + ], +) + +config_setting( + name = "windows_x86_64_config", + constraint_values = [ + "@platforms//os:windows", + "@platforms//cpu:x86_64", + ], +) From cc77d24e4352d67b1b7153f69676ee8a8b04488c Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 27 Aug 2025 23:05:25 -0700 Subject: [PATCH 0914/1566] [core] Turn off -wshadow for tests (#56030) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- bazel/ray.bzl | 9 +- .../tests/normal_task_submitter_test.cc | 55 ++--- .../core_worker/tests/memory_store_test.cc | 4 +- .../core_worker/tests/task_manager_test.cc | 4 +- .../gcs/gcs_client/tests/gcs_client_test.cc | 6 +- .../gcs_actor_manager_export_event_test.cc | 12 +- .../tests/gcs_actor_manager_test.cc | 206 +++++++++--------- .../plasma/tests/object_store_test.cc | 8 +- 8 files changed, 151 insertions(+), 153 deletions(-) diff --git a/bazel/ray.bzl b/bazel/ray.bzl index 2c273128fd74..f2215880338b 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -3,7 +3,7 @@ load("@bazel_skylib//rules:copy_file.bzl", "copy_file") load("@com_github_google_flatbuffers//:build_defs.bzl", "flatbuffer_library_public") load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_test") -COPTS_WITHOUT_LOG = select({ +COPTS_TESTS = select({ "//:opt": ["-DBAZEL_OPT"], "//conditions:default": [], }) + select({ @@ -16,7 +16,6 @@ COPTS_WITHOUT_LOG = select({ "-Wconversion-null", "-Wno-misleading-indentation", "-Wimplicit-fallthrough", - "-Wshadow", ], }) + select({ "//:clang-cl": [ @@ -26,7 +25,9 @@ COPTS_WITHOUT_LOG = select({ "//conditions:default": [], }) -COPTS = COPTS_WITHOUT_LOG +COPTS = COPTS_TESTS + select({ + "//conditions:default": ["-Wshadow"], +}) PYX_COPTS = select({ "//:msvc-cl": [], @@ -145,7 +146,7 @@ def ray_cc_library(name, strip_include_prefix = "/src", copts = [], visibility = def ray_cc_test(name, linkopts = [], copts = [], **kwargs): cc_test( name = name, - copts = COPTS + copts, + copts = COPTS_TESTS + copts, linkopts = linkopts + ["-pie"], **kwargs ) diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index fc58a3bdfb4e..5798da1df518 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -39,11 +39,10 @@ namespace { class DynamicRateLimiter : public LeaseRequestRateLimiter { public: - explicit DynamicRateLimiter(size_t limit) : limit(limit) {} - size_t GetMaxPendingLeaseRequestsPerSchedulingCategory() override { return limit; } + explicit DynamicRateLimiter(size_t limit) : limit_(limit) {} + size_t GetMaxPendingLeaseRequestsPerSchedulingCategory() override { return limit_; } - public: - size_t limit; + size_t limit_; }; // Wait (and halt the thread) until object_id appears in memory_store. @@ -925,7 +924,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 2); // Increase max concurrency. Should request leases up to the max concurrency. - rateLimiter->limit = concurrency; + rateLimiter->limit_ = concurrency; ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2 + concurrency); ASSERT_EQ(raylet_client->num_workers_requested, 2 + concurrency); @@ -935,7 +934,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { // Decrease max concurrency again. Should not request any more leases even as // previous requests are granted, since we are still over the current // concurrency. - rateLimiter->limit = 1; + rateLimiter->limit_ = 1; for (int i = 0; i < concurrency - 1; i++) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, NodeID::Nil())); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2 + concurrency); @@ -1010,7 +1009,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 2); // Increase max concurrency. - rateLimiter->limit = concurrency; + rateLimiter->limit_ = concurrency; // The outstanding lease request is spilled back to a remote raylet. ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::FromRandom())); // We should request one lease request from the spillback raylet and then the @@ -1023,7 +1022,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) // Decrease max concurrency again. Should not request any more leases even as // previous requests are granted, since we are still over the current // concurrency. - rateLimiter->limit = 1; + rateLimiter->limit_ = 1; for (int i = 0; i < concurrency - 1; i++) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, NodeID::Nil())); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, concurrency + 1); @@ -1388,12 +1387,12 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { remote_raylet_clients[addr.port()] = client; return client; }; - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); + auto memory_store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, raylet_client_factory, - store, + memory_store, kLongTimeout); TaskSpecification task = BuildEmptyTaskSpec(); @@ -1533,7 +1532,7 @@ void TestSchedulingKey(const std::shared_ptr store, TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { InstrumentedIOContextWithThread io_context("TestSchedulingKeys"); - auto store = std::make_shared(io_context.GetIoService()); + auto memory_store = std::make_shared(io_context.GetIoService()); std::unordered_map resources1({{"a", 1.0}}); std::unordered_map resources2({{"b", 2.0}}); @@ -1544,28 +1543,28 @@ TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { // Tasks with different resources should request different worker leases. RAY_LOG(INFO) << "Test different resources"; - TestSchedulingKey(store, + TestSchedulingKey(memory_store, BuildTaskSpec(resources1, descriptor1), BuildTaskSpec(resources1, descriptor1), BuildTaskSpec(resources2, descriptor1)); // Tasks with different functions should request different worker leases. RAY_LOG(INFO) << "Test different functions"; - TestSchedulingKey(store, + TestSchedulingKey(memory_store, BuildTaskSpec(resources1, descriptor1), BuildTaskSpec(resources1, descriptor1), BuildTaskSpec(resources1, descriptor2)); // Tasks with different depths should request different worker leases. RAY_LOG(INFO) << "Test different depths"; - TestSchedulingKey(store, + TestSchedulingKey(memory_store, BuildTaskSpec(resources1, descriptor1, 0), BuildTaskSpec(resources1, descriptor1, 0), BuildTaskSpec(resources1, descriptor1, 1)); // Tasks with different runtime envs do not request different workers. RAY_LOG(INFO) << "Test different runtimes"; - TestSchedulingKey(store, + TestSchedulingKey(memory_store, BuildTaskSpec(resources1, descriptor1, 0, "a"), BuildTaskSpec(resources1, descriptor1, 0, "b"), BuildTaskSpec(resources1, descriptor1, 1, "a")); @@ -1576,16 +1575,16 @@ TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { ObjectID plasma2 = ObjectID::FromRandom(); // Ensure the data is already present in the local store for direct call objects. auto data = GenerateRandomObject(); - store->Put(*data, direct1); - store->Put(*data, direct2); + memory_store->Put(*data, direct1); + memory_store->Put(*data, direct2); // Force plasma objects to be promoted. std::string meta = std::to_string(static_cast(rpc::ErrorType::OBJECT_IN_PLASMA)); auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto plasma_data = RayObject(nullptr, meta_buffer, std::vector()); - store->Put(plasma_data, plasma1); - store->Put(plasma_data, plasma2); + memory_store->Put(plasma_data, plasma1); + memory_store->Put(plasma_data, plasma2); TaskSpecification same_deps_1 = BuildTaskSpec(resources1, descriptor1); same_deps_1.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( @@ -1611,17 +1610,18 @@ TEST(NormalTaskSubmitterSchedulingKeyTest, TestSchedulingKeys) { // Tasks with different plasma dependencies should request different worker leases, // but direct call dependencies shouldn't be considered. RAY_LOG(INFO) << "Test different dependencies"; - TestSchedulingKey(store, same_deps_1, same_deps_2, different_deps); + TestSchedulingKey(memory_store, same_deps_1, same_deps_2, different_deps); } TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { InstrumentedIOContextWithThread store_io_context("TestBacklogReport"); - auto store = std::make_shared(store_io_context.GetIoService()); + auto memory_store = + std::make_shared(store_io_context.GetIoService()); auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, /*raylet_client_factory=*/nullptr, - store); + memory_store); TaskSpecification task1 = BuildEmptyTaskSpec(); @@ -1638,8 +1638,8 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { auto metadata = const_cast(reinterpret_cast(meta.data())); auto meta_buffer = std::make_shared(metadata, meta.size()); auto plasma_data = RayObject(nullptr, meta_buffer, std::vector()); - store->Put(plasma_data, plasma1); - store->Put(plasma_data, plasma2); + memory_store->Put(plasma_data, plasma1); + memory_store->Put(plasma_data, plasma2); // Same SchedulingClass, different SchedulingKey TaskSpecification task2 = BuildTaskSpec(resources1, descriptor1); @@ -1648,7 +1648,8 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { TaskSpecification task3 = BuildTaskSpec(resources1, descriptor1); task3.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( plasma2.Binary()); - TestSchedulingKey(store, WithRandomTaskId(task2), WithRandomTaskId(task2), task3); + TestSchedulingKey( + memory_store, WithRandomTaskId(task2), WithRandomTaskId(task2), task3); TaskSpecification task4 = BuildTaskSpec(resources2, descriptor2); @@ -1677,12 +1678,12 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { } TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { - auto store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); + auto memory_store = DefaultCoreWorkerMemoryStoreWithThread::CreateShared(); auto submitter = CreateNormalTaskSubmitter(std::make_shared(1), WorkerType::WORKER, /*raylet_client_factory=*/nullptr, - store, + memory_store, /*lease_timeout_ms=*/5); TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); diff --git a/src/ray/core_worker/tests/memory_store_test.cc b/src/ray/core_worker/tests/memory_store_test.cc index 257330888afe..65da14ceec22 100644 --- a/src/ray/core_worker/tests/memory_store_test.cc +++ b/src/ray/core_worker/tests/memory_store_test.cc @@ -195,8 +195,8 @@ TEST(TestMemoryStore, TestObjectAllocator) { auto buf = object.GetData(); mock_buffer_manager.AcquireMemory(buf->Size()); auto data_factory = [&mock_buffer_manager, object]() -> std::shared_ptr { - auto buf = object.GetData(); - std::string data(reinterpret_cast(buf->Data()), buf->Size()); + auto inner_buf = object.GetData(); + std::string data(reinterpret_cast(inner_buf->Data()), inner_buf->Size()); return std::make_shared(mock_buffer_manager, data); }; diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index b8e4c5722253..e2704d4a3cb7 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -2560,10 +2560,10 @@ TEST_F(TaskManagerTest, TestObjectRefStreamBackpressure) { bool signal_called = false; ASSERT_TRUE(manager_.HandleReportGeneratorItemReturns( req, - /*execution_signal_callback*/ [&signal_called](Status status, + /*execution_signal_callback*/ [&signal_called](Status callback_status, int64_t num_objects_consumed) { signal_called = true; - ASSERT_TRUE(status.ok()); + ASSERT_TRUE(callback_status.ok()); ASSERT_EQ(num_objects_consumed, 0); })); ASSERT_TRUE(signal_called); diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc index 7b68e37d1516..ff78ae00d4ab 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc @@ -519,7 +519,7 @@ TEST_P(GcsClientTest, TestActorInfo) { ActorID actor_id = ActorID::FromBinary(actor_table_data->actor_id()); // Subscribe to any update operations of an actor. - auto on_subscribe = [](const ActorID &actor_id, const rpc::ActorTableData &data) {}; + auto on_subscribe = [](const ActorID &, const rpc::ActorTableData &) {}; ASSERT_TRUE(SubscribeActor(actor_id, on_subscribe)); // Register an actor to GCS. @@ -689,7 +689,7 @@ TEST_P(GcsClientTest, TestActorTableResubscribe) { // All the notifications for the following `SubscribeActor` operation. std::vector subscribe_one_notifications; auto actor_subscribe = [&num_subscribe_one_notifications, &subscribe_one_notifications]( - const ActorID &actor_id, const rpc::ActorTableData &data) { + const ActorID &, const rpc::ActorTableData &data) { subscribe_one_notifications.emplace_back(data); ++num_subscribe_one_notifications; RAY_LOG(INFO) << "The number of actor subscription messages received is " @@ -829,7 +829,7 @@ TEST_P(GcsClientTest, TestMultiThreadSubAndUnsub) { auto job_id = JobID::FromInt(1); for (int index = 0; index < size; ++index) { threads[index].reset(new std::thread([this, sub_and_unsub_loop_count, job_id] { - for (int index = 0; index < sub_and_unsub_loop_count; ++index) { + for (int inner_index = 0; inner_index < sub_and_unsub_loop_count; ++inner_index) { auto actor_id = ActorID::Of(job_id, RandomTaskId(), 0); ASSERT_TRUE(SubscribeActor( actor_id, [](const ActorID &id, const rpc::ActorTableData &result) {})); diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index dfa789f79805..a70c40231aba 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -53,8 +53,8 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { auto pending_it = std::find_if(actors.begin(), actors.end(), - [actor_id](const std::shared_ptr &actor) { - return actor->GetActorID() == actor_id; + [actor_id](const std::shared_ptr ¤t_actor) { + return current_actor->GetActorID() == actor_id; }); if (pending_it != actors.end()) { actors.erase(pending_it); @@ -234,7 +234,7 @@ class GcsActorManagerTest : public ::testing::Test { io_service_.post( [this, request, &promise]() { auto status = gcs_actor_manager_->RegisterActor( - request, [this, request, &promise](const Status &status) { + request, [this, request, &promise](const Status &) { auto actor_id = ActorID::FromBinary( request.task_spec().actor_creation_task_spec().actor_id()); promise.set_value( @@ -285,9 +285,9 @@ TEST_F(GcsActorManagerTest, TestBasic) { std::vector> finished_actors; Status status = gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](const std::shared_ptr &actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + [&finished_actors](const std::shared_ptr &result_actor, + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(result_actor); }); RAY_CHECK_OK(status); RAY_CHECK_EQ(gcs_actor_manager_->CountFor(rpc::ActorTableData::PENDING_CREATION, ""), 1); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index e639ac58fc4c..891343111c0b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -49,8 +49,8 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { auto pending_it = std::find_if(actors.begin(), actors.end(), - [actor_id](const std::shared_ptr &actor) { - return actor->GetActorID() == actor_id; + [actor_id](const std::shared_ptr ¤t_actor) { + return current_actor->GetActorID() == actor_id; }); if (pending_it != actors.end()) { actors.erase(pending_it); @@ -178,7 +178,7 @@ class GcsActorManagerTest : public ::testing::Test { } auto request = Mocker::GenRegisterActorRequest( job_id, max_restarts, detached, name, ray_namespace); - auto status = gcs_actor_manager_->RegisterActor(request, [](const Status &status) {}); + auto status = gcs_actor_manager_->RegisterActor(request, [](const Status &) {}); io_service_.run_one(); io_service_.run_one(); auto actor_id = @@ -244,7 +244,7 @@ TEST_F(GcsActorManagerTest, TestBasic) { create_actor_request, [&finished_actors](const std::shared_ptr &actor, const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + const Status &) { finished_actors.emplace_back(actor); }); RAY_CHECK_OK(status); RAY_CHECK_EQ(gcs_actor_manager_->CountFor(rpc::ActorTableData::PENDING_CREATION, ""), 1); @@ -289,7 +289,7 @@ TEST_F(GcsActorManagerTest, TestDeadCount) { gcs_actor_manager_->CreateActor(create_actor_request, [](const std::shared_ptr &actor, const rpc::PushTaskReply &reply, - const Status &status) {}); + const Status &) {}); RAY_CHECK_OK(status); auto actor = mock_actor_scheduler_->actors.back(); mock_actor_scheduler_->actors.pop_back(); @@ -314,9 +314,11 @@ TEST_F(GcsActorManagerTest, TestSchedulingFailed) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -341,9 +343,11 @@ TEST_F(GcsActorManagerTest, TestWorkerFailure) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -388,8 +392,8 @@ TEST_F(GcsActorManagerTest, TestNodeFailure) { Status status = gcs_actor_manager_->CreateActor( create_actor_request, [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(actor); }); RAY_CHECK_OK(status); ASSERT_EQ(finished_actors.size(), 0); @@ -438,8 +442,8 @@ TEST_F(GcsActorManagerTest, TestActorReconstruction) { Status status = gcs_actor_manager_->CreateActor( create_actor_request, [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(actor); }); RAY_CHECK_OK(status); ASSERT_EQ(finished_actors.size(), 0); @@ -505,9 +509,11 @@ TEST_F(GcsActorManagerTest, TestActorRestartWhenOwnerDead) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -555,9 +561,11 @@ TEST_F(GcsActorManagerTest, TestDetachedActorRestartWhenCreatorDead) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -589,8 +597,7 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { /*detached=*/true, /*name=*/""); - Status status = - gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); + Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); io_service_.run_one(); // Ensure successful registration. @@ -604,7 +611,7 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { /*max_restarts=*/0, /*detached=*/true, /*name=*/""); - status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); // Ensure successful registration. ASSERT_TRUE(status.ok()); @@ -619,8 +626,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor1", /*ray_namespace=*/"test_named_actor"); - Status status = - gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); + Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor1", "test_named_actor").Binary(), @@ -631,7 +637,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -647,7 +653,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor(request3, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request3, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -659,7 +665,7 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { /*detached=*/true, /*name=*/"actor2", /*ray_namesapce=*/"test_named_actor"); - status = gcs_actor_manager_->RegisterActor(request4, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request4, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor2", "test_named_actor").Binary(), @@ -678,10 +684,9 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionWorkerFailure) { request1.mutable_task_spec()->CopyFrom( registered_actor_1->GetCreationTaskSpecification().GetMessage()); - Status status = gcs_actor_manager_->CreateActor(request1, - [](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) {}); + Status status = gcs_actor_manager_->CreateActor( + request1, + [](std::shared_ptr, const rpc::PushTaskReply &, const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -716,10 +721,9 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionWorkerFailure) { request2.mutable_task_spec()->CopyFrom( registered_actor_2->GetCreationTaskSpecification().GetMessage()); - status = gcs_actor_manager_->CreateActor(request2, - [](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) {}); + status = gcs_actor_manager_->CreateActor( + request2, + [](std::shared_ptr, const rpc::PushTaskReply &, const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, "test").Binary(), request2.task_spec().actor_creation_task_spec().actor_id()); @@ -736,10 +740,9 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNodeFailure) { request1.mutable_task_spec()->CopyFrom( registered_actor_1->GetCreationTaskSpecification().GetMessage()); - Status status = gcs_actor_manager_->CreateActor(request1, - [](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) {}); + Status status = gcs_actor_manager_->CreateActor( + request1, + [](std::shared_ptr, const rpc::PushTaskReply &, const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -773,10 +776,9 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNodeFailure) { request2.mutable_task_spec()->CopyFrom( registered_actor_2->GetCreationTaskSpecification().GetMessage()); - status = gcs_actor_manager_->CreateActor(request2, - [](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) {}); + status = gcs_actor_manager_->CreateActor( + request2, + [](std::shared_ptr, const rpc::PushTaskReply &, const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request2.task_spec().actor_creation_task_spec().actor_id()); @@ -797,7 +799,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNotHappendWhenReconstructed) { Status status = gcs_actor_manager_->CreateActor(request1, [](std::shared_ptr actor, const rpc::PushTaskReply &reply, - const Status &status) {}); + const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -826,7 +828,7 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNotHappendWhenReconstructed) { /*max_restarts=*/0, /*detached=*/true, /*name=*/"actor"); - status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), @@ -843,9 +845,11 @@ TEST_F(GcsActorManagerTest, TestDestroyActorBeforeActorCreationCompletes) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -878,9 +882,11 @@ TEST_F(GcsActorManagerTest, TestRaceConditionCancelLease) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); ASSERT_EQ(finished_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -922,10 +928,10 @@ TEST_F(GcsActorManagerTest, TestRegisterActor) { registered_actor->GetCreationTaskSpecification().GetMessage()); RAY_CHECK_OK(gcs_actor_manager_->CreateActor( request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { - finished_actors.emplace_back(std::move(actor)); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); })); // Make sure the actor is scheduling. ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -1048,9 +1054,11 @@ TEST_F(GcsActorManagerTest, TestOwnerAndChildDiedAtTheSameTimeRaceCondition) { std::vector> finished_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); })); + [&finished_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { + finished_actors.emplace_back(result_actor); + })); auto actor = mock_actor_scheduler_->actors.back(); mock_actor_scheduler_->actors.pop_back(); @@ -1084,8 +1092,7 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { /*max_restarts=*/0, /*detached=*/true, /*name=*/"actor"); - Status status = - gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); + Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -1098,7 +1105,7 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { second_namespace); // Create a second actor of the same name. Its job id belongs to a different // namespace though. - status = gcs_actor_manager_->RegisterActor(request2, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", second_namespace).Binary(), request2.task_spec().actor_creation_task_spec().actor_id()); @@ -1112,7 +1119,7 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { /*detached=*/true, /*name=*/"actor", /*ray_namespace=*/"test"); - status = gcs_actor_manager_->RegisterActor(request3, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request3, [](const Status &) {}); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); @@ -1128,8 +1135,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { Mocker::GenRegisterActorRequest(job_id_1, 0, true, actor_name, ray_namespace); auto actor_id_1 = ActorID::FromBinary(request_1.task_spec().actor_creation_task_spec().actor_id()); - Status status = - gcs_actor_manager_->RegisterActor(request_1, [](const Status &status) {}); + Status status = gcs_actor_manager_->RegisterActor(request_1, [](const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, ray_namespace).Binary(), actor_id_1.Binary()); @@ -1148,7 +1154,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { Mocker::GenRegisterActorRequest(job_id_2, 0, true, actor_name, ray_namespace); auto actor_id_2 = ActorID::FromBinary(request_2.task_spec().actor_creation_task_spec().actor_id()); - status = gcs_actor_manager_->RegisterActor(request_2, [](const Status &status) {}); + status = gcs_actor_manager_->RegisterActor(request_2, [](const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, ray_namespace).Binary(), actor_id_2.Binary()); @@ -1166,9 +1172,9 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { std::vector> finished_actors; Status create_status = gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](const std::shared_ptr &actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + [&finished_actors](const std::shared_ptr &result_actor, + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(result_actor); }); ASSERT_TRUE(create_status.ok()); auto actor = mock_actor_scheduler_->actors.back(); @@ -1194,8 +1200,7 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { io_service_.run_one(); } - auto callback = - [](Status status, std::function success, std::function failure) {}; + auto callback = [](Status, std::function, std::function) {}; // Filter with actor id { rpc::GetAllActorInfoRequest request; @@ -1266,8 +1271,7 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoLimit) { auto request1 = Mocker::GenRegisterActorRequest(job_id_1, /*max_restarts=*/0, /*detached=*/false); - Status status = - gcs_actor_manager_->RegisterActor(request1, [](const Status &status) {}); + Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); ASSERT_TRUE(status.ok()); io_service_.run_one(); } @@ -1276,9 +1280,7 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoLimit) { rpc::GetAllActorInfoRequest request; auto &reply = *google::protobuf::Arena::CreateMessage(&arena); - auto callback = [](Status status, - std::function success, - std::function failure) {}; + auto callback = [](Status, std::function, std::function) {}; gcs_actor_manager_->HandleGetAllActorInfo(request, &reply, callback); ASSERT_EQ(reply.actor_table_data().size(), 3); @@ -1301,9 +1303,9 @@ TEST_F(GcsActorManagerTest, TestKillActorWhenActorIsCreating) { std::vector> finished_actors; Status status = gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](const std::shared_ptr &actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + [&finished_actors](const std::shared_ptr &result_actor, + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(result_actor); }); RAY_CHECK_OK(status); ASSERT_EQ(finished_actors.size(), 0); @@ -1329,7 +1331,7 @@ TEST_F(GcsActorManagerTest, TestKillActorWhenActorIsCreating) { request, &reply, /*send_reply_callback*/ - [](Status status, std::function success, std::function failure) {}); + [](Status, std::function, std::function) {}); io_service_.run_one(); // Make sure the `KillActor` rpc is send. @@ -1350,9 +1352,9 @@ TEST_F(GcsActorManagerTest, TestRestartActorForLineageReconstruction) { std::vector> created_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&created_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { created_actors.emplace_back(actor); })); + [&created_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { created_actors.emplace_back(result_actor); })); ASSERT_EQ(created_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -1431,9 +1433,9 @@ TEST_F(GcsActorManagerTest, TestRestartPermanentlyDeadActorForLineageReconstruct std::vector> created_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&created_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { created_actors.emplace_back(actor); })); + [&created_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { created_actors.emplace_back(result_actor); })); ASSERT_EQ(created_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -1487,9 +1489,9 @@ TEST_F(GcsActorManagerTest, TestIdempotencyOfRestartActorForLineageReconstructio std::vector> created_actors; RAY_CHECK_OK(gcs_actor_manager_->CreateActor( create_actor_request, - [&created_actors](std::shared_ptr actor, - const rpc::PushTaskReply &reply, - const Status &status) { created_actors.emplace_back(actor); })); + [&created_actors](std::shared_ptr result_actor, + const rpc::PushTaskReply &, + const Status &) { created_actors.emplace_back(result_actor); })); ASSERT_EQ(created_actors.size(), 0); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); @@ -1520,17 +1522,11 @@ TEST_F(GcsActorManagerTest, TestIdempotencyOfRestartActorForLineageReconstructio rpc::RestartActorForLineageReconstructionReply reply2; gcs_actor_manager_->HandleRestartActorForLineageReconstruction( - request, - &reply1, - [&reply1]( - Status status, std::function success, std::function failure) { + request, &reply1, [&reply1](Status, std::function, std::function) { ASSERT_EQ(reply1.status().code(), static_cast(StatusCode::OK)); }); gcs_actor_manager_->HandleRestartActorForLineageReconstruction( - request, - &reply2, - [&reply2]( - Status status, std::function success, std::function failure) { + request, &reply2, [&reply2](Status, std::function, std::function) { ASSERT_EQ(reply2.status().code(), static_cast(StatusCode::OK)); }); io_service_.run_one(); @@ -1580,9 +1576,9 @@ TEST_F(GcsActorManagerTest, TestDestroyActorWhenActorIsCreating) { std::vector> finished_actors; Status status = gcs_actor_manager_->CreateActor( create_actor_request, - [&finished_actors](const std::shared_ptr &actor, - const rpc::PushTaskReply &reply, - const Status &status) { finished_actors.emplace_back(actor); }); + [&finished_actors](const std::shared_ptr &result_actor, + const rpc::PushTaskReply &, + const Status &) { finished_actors.emplace_back(result_actor); }); RAY_CHECK_OK(status); ASSERT_EQ(finished_actors.size(), 0); @@ -1608,7 +1604,7 @@ TEST_F(GcsActorManagerTest, TestDestroyActorWhenActorIsCreating) { request, &reply, /*send_reply_callback*/ - [](Status status, std::function success, std::function failure) {}); + [](Status, std::function, std::function) {}); io_service_.run_one(); io_service_.run_one(); @@ -1659,9 +1655,9 @@ TEST_F(GcsActorManagerTest, TestRestartPreemptedActor) { Status status = gcs_actor_manager_->CreateActor(create_actor_request, - [](const std::shared_ptr &actor, - const rpc::PushTaskReply &reply, - const Status &status) {}); + [](const std::shared_ptr &, + const rpc::PushTaskReply &, + const Status &) {}); RAY_CHECK_OK(status); ASSERT_EQ(mock_actor_scheduler_->actors.size(), 1); diff --git a/src/ray/object_manager/plasma/tests/object_store_test.cc b/src/ray/object_manager/plasma/tests/object_store_test.cc index 67c4f3e44039..20d4267d9bd3 100644 --- a/src/ray/object_manager/plasma/tests/object_store_test.cc +++ b/src/ray/object_manager/plasma/tests/object_store_test.cc @@ -129,8 +129,8 @@ TEST(ObjectStoreTest, PassThroughTest) { EXPECT_EQ(nullptr, store.SealObject(kId2)); // delete sealed - EXPECT_CALL(allocator, Free(_)).Times(1).WillOnce(Invoke([&](auto &&allocation) { - EXPECT_EQ(alloc_str, Serialize(allocation)); + EXPECT_CALL(allocator, Free(_)).Times(1).WillOnce(Invoke([&](auto &&allocation_arg) { + EXPECT_EQ(alloc_str, Serialize(allocation_arg)); })); EXPECT_TRUE(store.DeleteObject(kId1)); @@ -175,8 +175,8 @@ TEST(ObjectStoreTest, PassThroughTest) { EXPECT_TRUE(entry->allocation_.fallback_allocated_); // delete unsealed - EXPECT_CALL(allocator, Free(_)).Times(1).WillOnce(Invoke([&](auto &&allocation) { - EXPECT_EQ(alloc_str, Serialize(allocation)); + EXPECT_CALL(allocator, Free(_)).Times(1).WillOnce(Invoke([&](auto &&allocation_arg) { + EXPECT_EQ(alloc_str, Serialize(allocation_arg)); })); EXPECT_TRUE(store.DeleteObject(kId2)); From 2b11a6a3ec8bccf7976a6d2508cb84d54a5d33d4 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Thu, 28 Aug 2025 12:07:05 +0530 Subject: [PATCH 0915/1566] [core] Remove perf test in `shutdown_coordinator_test` (#56033) Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- .../tests/shutdown_coordinator_test.cc | 22 ------------------- 1 file changed, 22 deletions(-) diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index d20cda359eeb..f01b80dba9d7 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -280,28 +280,6 @@ TEST_F(ShutdownCoordinatorTest, Worker_HandleExit_OnIdleTimeout) { ShutdownReason::kIdleTimeout)); } -TEST_F(ShutdownCoordinatorTest, ShouldEarlyExit_Performance_IsFast) { - auto coordinator = CreateCoordinator(); - auto start = std::chrono::high_resolution_clock::now(); - constexpr int iterations = 1000000; - volatile bool result = false; - - for (int i = 0; i < iterations; ++i) { - result = coordinator->ShouldEarlyExit(); - } - - auto end = std::chrono::high_resolution_clock::now(); - auto duration = std::chrono::duration_cast(end - start); - - // Should be very fast (less than 100ns per call on modern hardware) - double ns_per_call = static_cast(duration.count()) / iterations; - EXPECT_LT(ns_per_call, 100.0) - << "ShouldEarlyExit too slow: " << ns_per_call << "ns per call"; - - // Prevent unused variable warning - (void)result; -} - TEST_F(ShutdownCoordinatorTest, StringRepresentations_StateAndReason_AreReadable) { auto coordinator = CreateCoordinator(); From cacbb6c13e5ae5b333584b809beeb8dc4620f81f Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 08:35:34 -0500 Subject: [PATCH 0916/1566] [core] Split `gcs_placement_group_scheduler` out from `gcs_server_lib` (#55955) Involved splitting `GcsPlacementGroup` into its own file to break circular dependency. Also eliminated `gcs_server_test_util.h` by: 1. Updating the global fakes with the implementation that was defined in the file. 2. Moving other utilities into the single file that depended on them. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/fakes/ray/rpc/raylet/BUILD.bazel | 9 + src/fakes/ray/rpc/raylet/raylet_client.h | 189 +++++++- src/fakes/ray/rpc/worker/BUILD.bazel | 10 + src/fakes/ray/rpc/worker/core_worker_client.h | 58 +++ .../task_submission/tests/BUILD.bazel | 1 + src/ray/core_worker/tests/BUILD.bazel | 3 + src/ray/gcs/gcs_server/BUILD.bazel | 41 +- src/ray/gcs/gcs_server/gcs_placement_group.cc | 151 +++++++ src/ray/gcs/gcs_server/gcs_placement_group.h | 212 +++++++++ .../gcs/gcs_server/gcs_placement_group_mgr.cc | 126 ------ .../gcs/gcs_server/gcs_placement_group_mgr.h | 178 +------- .../gcs_placement_group_scheduler.cc | 2 - .../gcs_placement_group_scheduler.h | 8 +- src/ray/gcs/gcs_server/tests/BUILD.bazel | 45 +- .../gcs_actor_manager_export_event_test.cc | 10 +- .../tests/gcs_actor_manager_test.cc | 18 +- .../tests/gcs_actor_scheduler_mock_test.cc | 1 + .../tests/gcs_actor_scheduler_test.cc | 80 +++- .../gcs_autoscaler_state_manager_test.cc | 6 +- .../tests/gcs_placement_group_mgr_test.cc | 11 +- .../gcs_placement_group_scheduler_test.cc | 409 +++++++++--------- .../gcs_server/tests/gcs_server_test_util.h | 386 ----------------- src/ray/raylet/tests/BUILD.bazel | 1 + src/ray/rpc/node_manager/tests/BUILD.bazel | 2 +- 24 files changed, 1002 insertions(+), 955 deletions(-) create mode 100644 src/fakes/ray/rpc/raylet/BUILD.bazel create mode 100644 src/fakes/ray/rpc/worker/BUILD.bazel create mode 100644 src/fakes/ray/rpc/worker/core_worker_client.h create mode 100644 src/ray/gcs/gcs_server/gcs_placement_group.cc create mode 100644 src/ray/gcs/gcs_server/gcs_placement_group.h delete mode 100644 src/ray/gcs/gcs_server/tests/gcs_server_test_util.h diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel new file mode 100644 index 000000000000..6e2730394697 --- /dev/null +++ b/src/fakes/ray/rpc/raylet/BUILD.bazel @@ -0,0 +1,9 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "fake_raylet_client", + hdrs = ["raylet_client.h"], + deps = [ + "//src/ray/raylet_client:raylet_client_lib", + ], +) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 3c2bcb70a8cd..b18394c56695 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -31,13 +31,21 @@ class FakeRayletClient : public RayletClientInterface { bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size = -1, - const bool is_selected_based_on_locality = false) override {} + const bool is_selected_based_on_locality = false) override { + num_workers_requested += 1; + callbacks.push_back(callback); + } ray::Status ReturnWorker(int worker_port, const WorkerID &worker_id, bool disconnect_worker, const std::string &disconnect_worker_error_detail, bool worker_exiting) override { + if (disconnect_worker) { + num_workers_disconnected++; + } else { + num_workers_returned++; + } return Status::OK(); } @@ -48,30 +56,166 @@ class FakeRayletClient : public RayletClientInterface { void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, const rpc::ClientCallback &callback) override { + num_release_unused_workers += 1; + release_callbacks.push_back(callback); } void CancelWorkerLease( const TaskID &task_id, - const rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override { + num_leases_canceled += 1; + cancel_callbacks.push_back(callback); + } + + bool GrantWorkerLease() { + return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id_, NodeID::Nil()); + } + + bool GrantWorkerLease(const std::string &address, + int port, + const WorkerID &worker_id, + const NodeID &node_id, + const NodeID &retry_at_node_id, + Status status = Status::OK(), + bool rejected = false) { + rpc::RequestWorkerLeaseReply reply; + if (!retry_at_node_id.IsNil()) { + reply.mutable_retry_at_raylet_address()->set_ip_address(address); + reply.mutable_retry_at_raylet_address()->set_port(port); + reply.mutable_retry_at_raylet_address()->set_node_id(retry_at_node_id.Binary()); + } else { + reply.mutable_worker_address()->set_ip_address(address); + reply.mutable_worker_address()->set_port(port); + reply.mutable_worker_address()->set_node_id(node_id.Binary()); + reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); + } + if (rejected) { + reply.set_rejected(true); + auto resources_data = reply.mutable_resources_data(); + resources_data->set_node_id(node_id.Binary()); + resources_data->set_resources_normal_task_changed(true); + auto &normal_task_map = *(resources_data->mutable_resources_normal_task()); + normal_task_map[kMemory_ResourceLabel] = + static_cast(std::numeric_limits::max()); + resources_data->set_resources_normal_task_timestamp(absl::GetCurrentTimeNanos()); + } + + if (callbacks.size() == 0) { + return false; + } else { + auto callback = callbacks.front(); + callback(status, std::move(reply)); + callbacks.pop_front(); + return true; + } + } + + bool ReplyCancelWorkerLease(bool success = true) { + rpc::CancelWorkerLeaseReply reply; + reply.set_success(success); + if (cancel_callbacks.size() == 0) { + return false; + } else { + auto callback = cancel_callbacks.front(); + callback(Status::OK(), std::move(reply)); + cancel_callbacks.pop_front(); + return true; + } + } + + bool ReplyReleaseUnusedActorWorkers() { + rpc::ReleaseUnusedActorWorkersReply reply; + if (release_callbacks.size() == 0) { + return false; + } else { + auto callback = release_callbacks.front(); + callback(Status::OK(), std::move(reply)); + release_callbacks.pop_front(); + return true; + } + } + + bool ReplyDrainRaylet() { + if (drain_raylet_callbacks.size() == 0) { + return false; + } else { + rpc::DrainRayletReply reply; + reply.set_is_accepted(true); + auto callback = drain_raylet_callbacks.front(); + callback(Status::OK(), std::move(reply)); + drain_raylet_callbacks.pop_front(); + return true; + } + } void PrepareBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) - override {} + override { + num_lease_requested += 1; + lease_callbacks.push_back(callback); + } void CommitBundleResources( const std::vector> &bundle_specs, const ray::rpc::ClientCallback &callback) - override {} + override { + num_commit_requested += 1; + commit_callbacks.push_back(callback); + } void CancelResourceReserve( const BundleSpecification &bundle_spec, const ray::rpc::ClientCallback &callback) - override {} + override { + num_return_requested += 1; + return_callbacks.push_back(callback); + } void ReleaseUnusedBundles( const std::vector &bundles_in_use, - const rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override { + ++num_release_unused_bundles_requested; + } + + bool GrantPrepareBundleResources(bool success = true, + const Status &status = Status::OK()) { + rpc::PrepareBundleResourcesReply reply; + reply.set_success(success); + if (lease_callbacks.size() == 0) { + return false; + } else { + auto callback = lease_callbacks.front(); + callback(status, std::move(reply)); + lease_callbacks.pop_front(); + return true; + } + } + + bool GrantCommitBundleResources(const Status &status = Status::OK()) { + rpc::CommitBundleResourcesReply reply; + if (commit_callbacks.size() == 0) { + return false; + } else { + auto callback = commit_callbacks.front(); + callback(status, std::move(reply)); + commit_callbacks.pop_front(); + return true; + } + } + + bool GrantCancelResourceReserve(bool success = true) { + Status status = Status::OK(); + rpc::CancelResourceReserveReply reply; + if (return_callbacks.size() == 0) { + return false; + } else { + auto callback = return_callbacks.front(); + callback(status, std::move(reply)); + return_callbacks.pop_front(); + return true; + } + } void ReportWorkerBacklog( const WorkerID &worker_id, @@ -96,7 +240,11 @@ class FakeRayletClient : public RayletClientInterface { void GetTaskFailureCause( const TaskID &task_id, - const rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override { + ray::rpc::GetTaskFailureCauseReply reply; + callback(Status::OK(), std::move(reply)); + num_get_task_failure_causes += 1; + } void GetSystemConfig( const rpc::ClientCallback &callback) override {} @@ -112,7 +260,11 @@ class FakeRayletClient : public RayletClientInterface { void DrainRaylet(const rpc::autoscaler::DrainNodeReason &reason, const std::string &reason_message, int64_t deadline_timestamp_ms, - const rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override { + rpc::DrainRayletReply reply; + reply.set_is_accepted(true); + drain_raylet_callbacks.push_back(callback); + } void CancelTasksWithResourceShapes( const std::vector> &resource_shapes, @@ -132,6 +284,27 @@ class FakeRayletClient : public RayletClientInterface { void GlobalGC(const rpc::ClientCallback &callback) override {} int64_t GetPinsInFlight() const override { return 0; } + + int num_workers_requested = 0; + int num_workers_returned = 0; + int num_workers_disconnected = 0; + int num_leases_canceled = 0; + int num_release_unused_workers = 0; + int num_get_task_failure_causes = 0; + NodeID node_id_ = NodeID::FromRandom(); + std::list> drain_raylet_callbacks = {}; + std::list> callbacks = {}; + std::list> cancel_callbacks = {}; + std::list> release_callbacks = + {}; + int num_lease_requested = 0; + int num_return_requested = 0; + int num_commit_requested = 0; + + int num_release_unused_bundles_requested = 0; + std::list> lease_callbacks = {}; + std::list> commit_callbacks = {}; + std::list> return_callbacks = {}; }; } // namespace ray diff --git a/src/fakes/ray/rpc/worker/BUILD.bazel b/src/fakes/ray/rpc/worker/BUILD.bazel new file mode 100644 index 000000000000..b5bd45196c99 --- /dev/null +++ b/src/fakes/ray/rpc/worker/BUILD.bazel @@ -0,0 +1,10 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "fake_core_worker_client", + hdrs = ["core_worker_client.h"], + deps = [ + "//src/ray/rpc:core_worker_client", + "@com_google_absl//absl/synchronization", + ], +) diff --git a/src/fakes/ray/rpc/worker/core_worker_client.h b/src/fakes/ray/rpc/worker/core_worker_client.h new file mode 100644 index 000000000000..e4f5f27f1aad --- /dev/null +++ b/src/fakes/ray/rpc/worker/core_worker_client.h @@ -0,0 +1,58 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "absl/synchronization/mutex.h" +#include "ray/rpc/worker/core_worker_client.h" + +namespace ray { + +class FakeCoreWorkerClient : public rpc::CoreWorkerClientInterface { + public: + void PushNormalTask(std::unique_ptr request, + const rpc::ClientCallback &callback) override { + absl::MutexLock lock(&mutex_); + callbacks_.push_back(callback); + } + + bool ReplyPushTask(Status status = Status::OK(), bool exit = false) { + rpc::ClientCallback callback = nullptr; + { + absl::MutexLock lock(&mutex_); + if (callbacks_.size() == 0) { + return false; + } + callback = callbacks_.front(); + callbacks_.pop_front(); + } + // call the callback without the lock to avoid deadlock. + auto reply = rpc::PushTaskReply(); + if (exit) { + reply.set_worker_exiting(true); + } + callback(status, std::move(reply)); + return true; + } + + size_t GetNumCallbacks() { + absl::MutexLock lock(&mutex_); + return callbacks_.size(); + } + + std::list> callbacks_ ABSL_GUARDED_BY(mutex_); + absl::Mutex mutex_; +}; + +} // namespace ray diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 707a4d310589..517b2fb220f3 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -65,6 +65,7 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/core_worker:memory_store", diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index c36833757685..b9625c7b2469 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -68,6 +68,7 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:task_common", "//src/ray/common:test_util", @@ -224,6 +225,7 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/object_manager:object_manager_common", "//src/ray/object_manager/plasma:plasma_client", @@ -244,6 +246,7 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:test_util", "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 5e3de7e6ed16..5ce6e18de9e6 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -248,6 +248,43 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_placement_group", + srcs = ["gcs_placement_group.cc"], + hdrs = ["gcs_placement_group.h"], + implementation_deps = [ + "//src/ray/stats:stats_lib", + ], + deps = [ + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/util:counter_map", + "//src/ray/util:time", + ], +) + +ray_cc_library( + name = "gcs_placement_group_scheduler", + srcs = ["gcs_placement_group_scheduler.cc"], + hdrs = ["gcs_placement_group_scheduler.h"], + deps = [ + ":gcs_node_manager", + ":gcs_placement_group", + ":gcs_table_storage", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/raylet/scheduling:cluster_resource_scheduler", + "//src/ray/raylet/scheduling:scheduling_context", + "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:node_manager_client", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + ], +) + ray_cc_library( name = "grpc_service_interfaces", hdrs = [ @@ -307,7 +344,6 @@ ray_cc_library( "gcs_actor_scheduler.cc", "gcs_autoscaler_state_manager.cc", "gcs_placement_group_mgr.cc", - "gcs_placement_group_scheduler.cc", "gcs_server.cc", ], hdrs = [ @@ -315,7 +351,6 @@ ray_cc_library( "gcs_actor_scheduler.h", "gcs_autoscaler_state_manager.h", "gcs_placement_group_mgr.h", - "gcs_placement_group_scheduler.h", "gcs_server.h", ], deps = [ @@ -326,6 +361,8 @@ ray_cc_library( ":gcs_job_manager", ":gcs_kv_manager", ":gcs_node_manager", + ":gcs_placement_group", + ":gcs_placement_group_scheduler", ":gcs_pubsub_handler", ":gcs_resource_manager", ":gcs_runtime_env_handler", diff --git a/src/ray/gcs/gcs_server/gcs_placement_group.cc b/src/ray/gcs/gcs_server/gcs_placement_group.cc new file mode 100644 index 000000000000..a238e5c51000 --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_placement_group.cc @@ -0,0 +1,151 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/gcs/gcs_server/gcs_placement_group.h" + +#include +#include +#include + +#include "ray/stats/metric_defs.h" + +namespace ray { +namespace gcs { + +void GcsPlacementGroup::UpdateState( + rpc::PlacementGroupTableData::PlacementGroupState state) { + if (state == rpc::PlacementGroupTableData::CREATED) { + RAY_CHECK_EQ(placement_group_table_data_.state(), + rpc::PlacementGroupTableData::PREPARED); + placement_group_table_data_.set_placement_group_final_bundle_placement_timestamp_ms( + current_sys_time_ms()); + + double duration_s = + (placement_group_table_data_ + .placement_group_final_bundle_placement_timestamp_ms() - + placement_group_table_data_.placement_group_creation_timestamp_ms()) / + 1000; + stats::STATS_scheduler_placement_time_s.Record(duration_s, + {{"WorkloadType", "PlacementGroup"}}); + } + placement_group_table_data_.set_state(state); + RefreshMetrics(); +} + +rpc::PlacementGroupTableData::PlacementGroupState GcsPlacementGroup::GetState() const { + return placement_group_table_data_.state(); +} + +PlacementGroupID GcsPlacementGroup::GetPlacementGroupID() const { + return PlacementGroupID::FromBinary(placement_group_table_data_.placement_group_id()); +} + +std::string GcsPlacementGroup::GetName() const { + return placement_group_table_data_.name(); +} + +std::string GcsPlacementGroup::GetRayNamespace() const { + return placement_group_table_data_.ray_namespace(); +} + +std::vector> &GcsPlacementGroup::GetBundles() + const { + // Fill the cache if it wasn't. + if (cached_bundle_specs_.empty()) { + const auto &bundles = placement_group_table_data_.bundles(); + for (const auto &bundle : bundles) { + cached_bundle_specs_.push_back(std::make_shared(bundle)); + } + } + return cached_bundle_specs_; +} + +std::vector> +GcsPlacementGroup::GetUnplacedBundles() const { + const auto &bundle_specs = GetBundles(); + + std::vector> unplaced_bundles; + for (const auto &bundle : bundle_specs) { + if (bundle->NodeId().IsNil()) { + unplaced_bundles.push_back(bundle); + } + } + return unplaced_bundles; +} + +bool GcsPlacementGroup::HasUnplacedBundles() const { + return !GetUnplacedBundles().empty(); +} + +rpc::PlacementStrategy GcsPlacementGroup::GetStrategy() const { + return placement_group_table_data_.strategy(); +} + +const rpc::PlacementGroupTableData &GcsPlacementGroup::GetPlacementGroupTableData() + const { + return placement_group_table_data_; +} + +std::string GcsPlacementGroup::DebugString() const { + std::stringstream stream; + stream << "placement group id = " << GetPlacementGroupID() << ", name = " << GetName() + << ", strategy = " << GetStrategy(); + return stream.str(); +} + +rpc::Bundle *GcsPlacementGroup::GetMutableBundle(int bundle_index) { + // Invalidate the cache. + cached_bundle_specs_.clear(); + return placement_group_table_data_.mutable_bundles(bundle_index); +} + +const ActorID GcsPlacementGroup::GetCreatorActorId() const { + return ActorID::FromBinary(placement_group_table_data_.creator_actor_id()); +} + +const JobID GcsPlacementGroup::GetCreatorJobId() const { + return JobID::FromBinary(placement_group_table_data_.creator_job_id()); +} + +void GcsPlacementGroup::MarkCreatorJobDead() { + placement_group_table_data_.set_creator_job_dead(true); +} + +void GcsPlacementGroup::MarkCreatorActorDead() { + placement_group_table_data_.set_creator_actor_dead(true); +} + +bool GcsPlacementGroup::IsPlacementGroupLifetimeDone() const { + return !IsDetached() && placement_group_table_data_.creator_job_dead() && + placement_group_table_data_.creator_actor_dead(); +} + +bool GcsPlacementGroup::IsDetached() const { + return placement_group_table_data_.is_detached(); +} + +NodeID GcsPlacementGroup::GetSoftTargetNodeID() const { + return NodeID::FromBinary(placement_group_table_data_.soft_target_node_id()); +} + +const rpc::PlacementGroupStats &GcsPlacementGroup::GetStats() const { + return placement_group_table_data_.stats(); +} + +rpc::PlacementGroupStats *GcsPlacementGroup::GetMutableStats() { + return placement_group_table_data_.mutable_stats(); +} + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_placement_group.h b/src/ray/gcs/gcs_server/gcs_placement_group.h new file mode 100644 index 000000000000..61f41fcbbcc4 --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_placement_group.h @@ -0,0 +1,212 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once +#include + +#include +#include +#include +#include +#include + +#include "ray/common/bundle_spec.h" +#include "ray/common/id.h" +#include "ray/util/counter_map.h" +#include "ray/util/time.h" +#include "src/ray/protobuf/gcs_service.pb.h" + +namespace ray { +namespace gcs { + +/// GcsPlacementGroup just wraps `PlacementGroupTableData` and provides some convenient +/// interfaces to access the fields inside `PlacementGroupTableData`. This class is not +/// thread-safe. +class GcsPlacementGroup { + public: + /// Create a GcsPlacementGroup by placement_group_table_data. + /// + /// \param placement_group_table_data Data of the placement_group (see gcs.proto). + explicit GcsPlacementGroup( + rpc::PlacementGroupTableData placement_group_table_data, + std::shared_ptr> + counter) + : placement_group_table_data_(std::move(placement_group_table_data)), + counter_(counter) { + SetupStates(); + } + + /// Create a GcsPlacementGroup by CreatePlacementGroupRequest. + /// + /// \param request Contains the placement group creation task specification. + explicit GcsPlacementGroup( + const ray::rpc::CreatePlacementGroupRequest &request, + std::string ray_namespace, + std::shared_ptr> + counter) + : counter_(counter) { + const auto &placement_group_spec = request.placement_group_spec(); + placement_group_table_data_.set_placement_group_id( + placement_group_spec.placement_group_id()); + placement_group_table_data_.set_name(placement_group_spec.name()); + placement_group_table_data_.set_state(rpc::PlacementGroupTableData::PENDING); + placement_group_table_data_.mutable_bundles()->CopyFrom( + placement_group_spec.bundles()); + placement_group_table_data_.set_strategy(placement_group_spec.strategy()); + placement_group_table_data_.set_creator_job_id(placement_group_spec.creator_job_id()); + placement_group_table_data_.set_creator_actor_id( + placement_group_spec.creator_actor_id()); + placement_group_table_data_.set_creator_job_dead( + placement_group_spec.creator_job_dead()); + placement_group_table_data_.set_creator_actor_dead( + placement_group_spec.creator_actor_dead()); + placement_group_table_data_.set_is_detached(placement_group_spec.is_detached()); + placement_group_table_data_.set_soft_target_node_id( + placement_group_spec.soft_target_node_id()); + placement_group_table_data_.set_ray_namespace(ray_namespace); + placement_group_table_data_.set_placement_group_creation_timestamp_ms( + current_sys_time_ms()); + SetupStates(); + } + + ~GcsPlacementGroup() { + if (last_metric_state_ && + last_metric_state_.value() != rpc::PlacementGroupTableData::REMOVED) { + RAY_LOG(DEBUG) << "Decrementing state at " + << rpc::PlacementGroupTableData::PlacementGroupState_Name( + last_metric_state_.value()); + // Retain groups in the REMOVED state so we have a history of past groups. + counter_->Decrement(last_metric_state_.value()); + } + } + + /// Get the immutable PlacementGroupTableData of this placement group. + const rpc::PlacementGroupTableData &GetPlacementGroupTableData() const; + + /// Get the mutable bundle of this placement group. + rpc::Bundle *GetMutableBundle(int bundle_index); + + /// Update the state of this placement_group. + void UpdateState(rpc::PlacementGroupTableData::PlacementGroupState state); + + /// Get the state of this gcs placement_group. + rpc::PlacementGroupTableData::PlacementGroupState GetState() const; + + /// Get the id of this placement_group. + PlacementGroupID GetPlacementGroupID() const; + + /// Get the name of this placement_group. + std::string GetName() const; + + /// Get the name of this placement_group. + std::string GetRayNamespace() const; + + /// Get the bundles of this placement_group (including unplaced). + std::vector> &GetBundles() const; + + /// Get the unplaced bundles of this placement group. + std::vector> GetUnplacedBundles() const; + + /// Check if there are unplaced bundles. + bool HasUnplacedBundles() const; + + /// Get the Strategy + rpc::PlacementStrategy GetStrategy() const; + + /// Get debug string for the placement group. + std::string DebugString() const; + + /// Below fields are used for automatic cleanup of placement groups. + + /// Get the actor id that created the placement group. + const ActorID GetCreatorActorId() const; + + /// Get the job id that created the placement group. + const JobID GetCreatorJobId() const; + + /// Mark that the creator job of this placement group is dead. + void MarkCreatorJobDead(); + + /// Mark that the creator actor of this placement group is dead. + void MarkCreatorActorDead(); + + /// Return True if the placement group lifetime is done. False otherwise. + bool IsPlacementGroupLifetimeDone() const; + + /// Returns whether or not this is a detached placement group. + bool IsDetached() const; + + /// Return the target node ID where bundles of this placement group should be placed. + /// Only works for STRICT_PACK placement group. + NodeID GetSoftTargetNodeID() const; + + const rpc::PlacementGroupStats &GetStats() const; + + rpc::PlacementGroupStats *GetMutableStats(); + + private: + // XXX. + FRIEND_TEST(GcsPlacementGroupManagerTest, TestPlacementGroupBundleCache); + + /// Setup states other than placement_group_table_data_. + void SetupStates() { + auto stats = placement_group_table_data_.mutable_stats(); + // The default value for the field is 0 + if (stats->creation_request_received_ns() == 0) { + auto now = absl::GetCurrentTimeNanos(); + stats->set_creation_request_received_ns(now); + } + // The default value for the field is 0 + // Only set the state to the QUEUED when the state wasn't persisted before. + if (stats->scheduling_state() == 0) { + stats->set_scheduling_state(rpc::PlacementGroupStats::QUEUED); + } + RefreshMetrics(); + } + + /// Record metric updates if there have been any state changes. + void RefreshMetrics() { + auto cur_state = GetState(); + if (last_metric_state_) { + RAY_LOG(DEBUG) << "Swapping state from " + << rpc::PlacementGroupTableData::PlacementGroupState_Name( + last_metric_state_.value()) + << " to " + << rpc::PlacementGroupTableData::PlacementGroupState_Name(cur_state); + counter_->Swap(last_metric_state_.value(), cur_state); + } else { + RAY_LOG(DEBUG) << "Incrementing state at " + << rpc::PlacementGroupTableData::PlacementGroupState_Name(cur_state); + counter_->Increment(cur_state); + } + last_metric_state_ = cur_state; + } + + /// The placement_group meta data which contains the task specification as well as the + /// state of the gcs placement_group and so on (see gcs.proto). + rpc::PlacementGroupTableData placement_group_table_data_; + /// Creating bundle specification requires heavy computation because it needs to compute + /// formatted strings for all resources (heavy string operations). To optimize the CPU + /// usage, we cache bundle specs. + mutable std::vector> cached_bundle_specs_; + + /// Reference to the counter to use for placement group state metrics tracking. + std::shared_ptr> counter_; + + /// The last recorded metric state. + std::optional last_metric_state_; +}; + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc index 3cd7af20aaac..9c4007df4a8e 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc @@ -54,132 +54,6 @@ ExponentialBackoff CreateDefaultBackoff() { } } // namespace -void GcsPlacementGroup::UpdateState( - rpc::PlacementGroupTableData::PlacementGroupState state) { - if (state == rpc::PlacementGroupTableData::CREATED) { - RAY_CHECK_EQ(placement_group_table_data_.state(), - rpc::PlacementGroupTableData::PREPARED); - placement_group_table_data_.set_placement_group_final_bundle_placement_timestamp_ms( - current_sys_time_ms()); - - double duration_s = - (placement_group_table_data_ - .placement_group_final_bundle_placement_timestamp_ms() - - placement_group_table_data_.placement_group_creation_timestamp_ms()) / - 1000; - stats::STATS_scheduler_placement_time_s.Record(duration_s, - {{"WorkloadType", "PlacementGroup"}}); - } - placement_group_table_data_.set_state(state); - RefreshMetrics(); -} - -rpc::PlacementGroupTableData::PlacementGroupState GcsPlacementGroup::GetState() const { - return placement_group_table_data_.state(); -} - -PlacementGroupID GcsPlacementGroup::GetPlacementGroupID() const { - return PlacementGroupID::FromBinary(placement_group_table_data_.placement_group_id()); -} - -std::string GcsPlacementGroup::GetName() const { - return placement_group_table_data_.name(); -} - -std::string GcsPlacementGroup::GetRayNamespace() const { - return placement_group_table_data_.ray_namespace(); -} - -std::vector> &GcsPlacementGroup::GetBundles() - const { - // Fill the cache if it wasn't. - if (cached_bundle_specs_.empty()) { - const auto &bundles = placement_group_table_data_.bundles(); - for (const auto &bundle : bundles) { - cached_bundle_specs_.push_back(std::make_shared(bundle)); - } - } - return cached_bundle_specs_; -} - -std::vector> -GcsPlacementGroup::GetUnplacedBundles() const { - const auto &bundle_specs = GetBundles(); - - std::vector> unplaced_bundles; - for (const auto &bundle : bundle_specs) { - if (bundle->NodeId().IsNil()) { - unplaced_bundles.push_back(bundle); - } - } - return unplaced_bundles; -} - -bool GcsPlacementGroup::HasUnplacedBundles() const { - return !GetUnplacedBundles().empty(); -} - -rpc::PlacementStrategy GcsPlacementGroup::GetStrategy() const { - return placement_group_table_data_.strategy(); -} - -const rpc::PlacementGroupTableData &GcsPlacementGroup::GetPlacementGroupTableData() - const { - return placement_group_table_data_; -} - -std::string GcsPlacementGroup::DebugString() const { - std::stringstream stream; - stream << "placement group id = " << GetPlacementGroupID() << ", name = " << GetName() - << ", strategy = " << GetStrategy(); - return stream.str(); -} - -rpc::Bundle *GcsPlacementGroup::GetMutableBundle(int bundle_index) { - // Invalidate the cache. - cached_bundle_specs_.clear(); - return placement_group_table_data_.mutable_bundles(bundle_index); -} - -const ActorID GcsPlacementGroup::GetCreatorActorId() const { - return ActorID::FromBinary(placement_group_table_data_.creator_actor_id()); -} - -const JobID GcsPlacementGroup::GetCreatorJobId() const { - return JobID::FromBinary(placement_group_table_data_.creator_job_id()); -} - -void GcsPlacementGroup::MarkCreatorJobDead() { - placement_group_table_data_.set_creator_job_dead(true); -} - -void GcsPlacementGroup::MarkCreatorActorDead() { - placement_group_table_data_.set_creator_actor_dead(true); -} - -bool GcsPlacementGroup::IsPlacementGroupLifetimeDone() const { - return !IsDetached() && placement_group_table_data_.creator_job_dead() && - placement_group_table_data_.creator_actor_dead(); -} - -bool GcsPlacementGroup::IsDetached() const { - return placement_group_table_data_.is_detached(); -} - -NodeID GcsPlacementGroup::GetSoftTargetNodeID() const { - return NodeID::FromBinary(placement_group_table_data_.soft_target_node_id()); -} - -const rpc::PlacementGroupStats &GcsPlacementGroup::GetStats() const { - return placement_group_table_data_.stats(); -} - -rpc::PlacementGroupStats *GcsPlacementGroup::GetMutableStats() { - return placement_group_table_data_.mutable_stats(); -} - -///////////////////////////////////////////////////////////////////////////////////////// - GcsPlacementGroupManager::GcsPlacementGroupManager( instrumented_io_context &io_context, GcsResourceManager &gcs_resource_manager) : io_context_(io_context), gcs_resource_manager_(gcs_resource_manager) {} diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h index 37d1afdcf58d..3ee4264d42df 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h @@ -29,6 +29,7 @@ #include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_server/gcs_placement_group.h" #include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" @@ -44,183 +45,6 @@ namespace ray { namespace gcs { -/// GcsPlacementGroup just wraps `PlacementGroupTableData` and provides some convenient -/// interfaces to access the fields inside `PlacementGroupTableData`. This class is not -/// thread-safe. -class GcsPlacementGroup { - public: - /// Create a GcsPlacementGroup by placement_group_table_data. - /// - /// \param placement_group_table_data Data of the placement_group (see gcs.proto). - explicit GcsPlacementGroup( - rpc::PlacementGroupTableData placement_group_table_data, - std::shared_ptr> - counter) - : placement_group_table_data_(std::move(placement_group_table_data)), - counter_(counter) { - SetupStates(); - } - - /// Create a GcsPlacementGroup by CreatePlacementGroupRequest. - /// - /// \param request Contains the placement group creation task specification. - explicit GcsPlacementGroup( - const ray::rpc::CreatePlacementGroupRequest &request, - std::string ray_namespace, - std::shared_ptr> - counter) - : counter_(counter) { - const auto &placement_group_spec = request.placement_group_spec(); - placement_group_table_data_.set_placement_group_id( - placement_group_spec.placement_group_id()); - placement_group_table_data_.set_name(placement_group_spec.name()); - placement_group_table_data_.set_state(rpc::PlacementGroupTableData::PENDING); - placement_group_table_data_.mutable_bundles()->CopyFrom( - placement_group_spec.bundles()); - placement_group_table_data_.set_strategy(placement_group_spec.strategy()); - placement_group_table_data_.set_creator_job_id(placement_group_spec.creator_job_id()); - placement_group_table_data_.set_creator_actor_id( - placement_group_spec.creator_actor_id()); - placement_group_table_data_.set_creator_job_dead( - placement_group_spec.creator_job_dead()); - placement_group_table_data_.set_creator_actor_dead( - placement_group_spec.creator_actor_dead()); - placement_group_table_data_.set_is_detached(placement_group_spec.is_detached()); - placement_group_table_data_.set_soft_target_node_id( - placement_group_spec.soft_target_node_id()); - placement_group_table_data_.set_ray_namespace(ray_namespace); - placement_group_table_data_.set_placement_group_creation_timestamp_ms( - current_sys_time_ms()); - SetupStates(); - } - - ~GcsPlacementGroup() { - if (last_metric_state_ && - last_metric_state_.value() != rpc::PlacementGroupTableData::REMOVED) { - RAY_LOG(DEBUG) << "Decrementing state at " - << rpc::PlacementGroupTableData::PlacementGroupState_Name( - last_metric_state_.value()); - // Retain groups in the REMOVED state so we have a history of past groups. - counter_->Decrement(last_metric_state_.value()); - } - } - - /// Get the immutable PlacementGroupTableData of this placement group. - const rpc::PlacementGroupTableData &GetPlacementGroupTableData() const; - - /// Get the mutable bundle of this placement group. - rpc::Bundle *GetMutableBundle(int bundle_index); - - /// Update the state of this placement_group. - void UpdateState(rpc::PlacementGroupTableData::PlacementGroupState state); - - /// Get the state of this gcs placement_group. - rpc::PlacementGroupTableData::PlacementGroupState GetState() const; - - /// Get the id of this placement_group. - PlacementGroupID GetPlacementGroupID() const; - - /// Get the name of this placement_group. - std::string GetName() const; - - /// Get the name of this placement_group. - std::string GetRayNamespace() const; - - /// Get the bundles of this placement_group (including unplaced). - std::vector> &GetBundles() const; - - /// Get the unplaced bundles of this placement group. - std::vector> GetUnplacedBundles() const; - - /// Check if there are unplaced bundles. - bool HasUnplacedBundles() const; - - /// Get the Strategy - rpc::PlacementStrategy GetStrategy() const; - - /// Get debug string for the placement group. - std::string DebugString() const; - - /// Below fields are used for automatic cleanup of placement groups. - - /// Get the actor id that created the placement group. - const ActorID GetCreatorActorId() const; - - /// Get the job id that created the placement group. - const JobID GetCreatorJobId() const; - - /// Mark that the creator job of this placement group is dead. - void MarkCreatorJobDead(); - - /// Mark that the creator actor of this placement group is dead. - void MarkCreatorActorDead(); - - /// Return True if the placement group lifetime is done. False otherwise. - bool IsPlacementGroupLifetimeDone() const; - - /// Returns whether or not this is a detached placement group. - bool IsDetached() const; - - /// Return the target node ID where bundles of this placement group should be placed. - /// Only works for STRICT_PACK placement group. - NodeID GetSoftTargetNodeID() const; - - const rpc::PlacementGroupStats &GetStats() const; - - rpc::PlacementGroupStats *GetMutableStats(); - - private: - FRIEND_TEST(GcsPlacementGroupManagerTest, TestPlacementGroupBundleCache); - - /// Setup states other than placement_group_table_data_. - void SetupStates() { - auto stats = placement_group_table_data_.mutable_stats(); - // The default value for the field is 0 - if (stats->creation_request_received_ns() == 0) { - auto now = absl::GetCurrentTimeNanos(); - stats->set_creation_request_received_ns(now); - } - // The default value for the field is 0 - // Only set the state to the QUEUED when the state wasn't persisted before. - if (stats->scheduling_state() == 0) { - stats->set_scheduling_state(rpc::PlacementGroupStats::QUEUED); - } - RefreshMetrics(); - } - - /// Record metric updates if there have been any state changes. - void RefreshMetrics() { - auto cur_state = GetState(); - if (last_metric_state_) { - RAY_LOG(DEBUG) << "Swapping state from " - << rpc::PlacementGroupTableData::PlacementGroupState_Name( - last_metric_state_.value()) - << " to " - << rpc::PlacementGroupTableData::PlacementGroupState_Name(cur_state); - counter_->Swap(last_metric_state_.value(), cur_state); - } else { - RAY_LOG(DEBUG) << "Incrementing state at " - << rpc::PlacementGroupTableData::PlacementGroupState_Name(cur_state); - counter_->Increment(cur_state); - } - last_metric_state_ = cur_state; - } - - /// The placement_group meta data which contains the task specification as well as the - /// state of the gcs placement_group and so on (see gcs.proto). - rpc::PlacementGroupTableData placement_group_table_data_; - /// Creating bundle specification requires heavy computation because it needs to compute - /// formatted strings for all resources (heavy string operations). To optimize the CPU - /// usage, we cache bundle specs. - mutable std::vector> cached_bundle_specs_; - - /// Reference to the counter to use for placement group state metrics tracking. - std::shared_ptr> counter_; - - /// The last recorded metric state. - std::optional last_metric_state_; -}; - /// GcsPlacementGroupManager is responsible for managing the lifecycle of all placement /// group. This class is not thread-safe. /// The placementGroup will be added into queue and set the status as pending first and diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index 703d72c7a4dd..855139ee8e15 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -21,8 +21,6 @@ #include #include "ray/common/asio/asio_util.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" -#include "src/ray/protobuf/gcs.pb.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 6c668fccb8a8..61b7fa651a79 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -26,6 +26,7 @@ #include "ray/common/id.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_server/gcs_placement_group.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" @@ -38,8 +39,6 @@ namespace ray { namespace gcs { -class GcsPlacementGroup; - using PGSchedulingFailureCallback = std::function, bool)>; using PGSchedulingSuccessfulCallback = @@ -513,6 +512,11 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// The bundles that waiting to be destroyed and release resources. std::list>> waiting_removed_bundles_; + + friend class GcsPlacementGroupSchedulerTest; + FRIEND_TEST(GcsPlacementGroupSchedulerTest, TestCheckingWildcardResource); + FRIEND_TEST(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles); + FRIEND_TEST(GcsPlacementGroupSchedulerTest, TestBundlesRemovedWhenNodeDead); }; } // namespace gcs diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 87fb68703f42..ced5b241df0e 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -22,6 +22,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], ) @@ -77,17 +78,6 @@ ray_cc_test( ], ) -ray_cc_library( - name = "gcs_server_test_util", - hdrs = [ - "gcs_server_test_util.h", - ], - deps = [ - "//:ray_fakes", - "//src/ray/gcs/store_client:in_memory_store_client", - ], -) - ray_cc_test( name = "gcs_health_check_manager_test", size = "medium", @@ -116,6 +106,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_fakes", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/tests:gcs_test_util_lib", @@ -167,11 +158,12 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], ) @@ -187,10 +179,17 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", + "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/gcs/gcs_server:gcs_placement_group", + "//src/ray/gcs/gcs_server:gcs_placement_group_scheduler", + "//src/ray/gcs/gcs_server:gcs_resource_manager", + "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], ) @@ -203,11 +202,18 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", + "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/gcs/gcs_server:gcs_function_manager", + "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/gcs/gcs_server:gcs_resource_manager", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs/store_client", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], ) @@ -223,6 +229,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_util", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], ) @@ -237,8 +244,8 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", "//:ray_mock", + "//src/ray/gcs/gcs_server:gcs_actor", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/pubsub:publisher", @@ -322,8 +329,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - ":gcs_server_test_util", + "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", @@ -391,7 +399,6 @@ ray_cc_test( "team:core", ], deps = [ - ":gcs_server_test_util", "//:ray_mock", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/store_client:in_memory_store_client", @@ -409,7 +416,7 @@ ray_cc_test( "team:core", ], deps = [ - "//:ray_fakes", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index a70c40231aba..fa8465fda45d 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -11,7 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. - #include #include @@ -25,15 +24,19 @@ #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/runtime_env_manager.h" +#include "ray/gcs/gcs_server/gcs_actor.h" +#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" +#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" namespace ray { - namespace gcs { using ::testing::_; @@ -351,5 +354,4 @@ TEST_F(GcsActorManagerTest, TestBasic) { } } // namespace gcs - } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 891343111c0b..659c9a5c53e0 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -12,23 +12,27 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/gcs/gcs_server/gcs_actor_manager.h" + +#include + #include #include #include #include #include -// clang-format off -#include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" -#include "ray/gcs/tests/gcs_test_util.h" +#include "ray/common/runtime_env_manager.h" +#include "ray/gcs/gcs_server/gcs_actor.h" +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -// clang-format on namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index c0333a646c0b..8d04a3b18465 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -25,6 +25,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/util/counter_map.h" using namespace ::testing; // NOLINT diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 72ed153bc9b8..9be76e0dd12b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" + #include #include @@ -20,27 +22,78 @@ #include #include -// clang-format off +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "fakes/ray/rpc/worker/core_worker_client.h" +#include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/store_client/store_client.h" #include "ray/gcs/tests/gcs_test_util.h" -#include "mock/ray/pubsub/publisher.h" -// clang-format on +#include "ray/util/counter_map.h" namespace ray { using raylet::NoopLocalTaskManager; namespace gcs { +class MockedGcsActorScheduler : public gcs::GcsActorScheduler { + public: + using gcs::GcsActorScheduler::GcsActorScheduler; + + void TryLeaseWorkerFromNodeAgain(std::shared_ptr actor, + std::shared_ptr node) { + DoRetryLeasingWorkerFromNode(std::move(actor), std::move(node)); + } + + protected: + void RetryLeasingWorkerFromNode(std::shared_ptr actor, + std::shared_ptr node) override { + ++num_retry_leasing_count_; + if (num_retry_leasing_count_ <= 1) { + DoRetryLeasingWorkerFromNode(actor, node); + } + } + + void RetryCreatingActorOnWorker(std::shared_ptr actor, + std::shared_ptr worker) override { + ++num_retry_creating_count_; + DoRetryCreatingActorOnWorker(actor, worker); + } + + public: + int num_retry_leasing_count_ = 0; + int num_retry_creating_count_ = 0; +}; + +class FakeGcsActorTable : public gcs::GcsActorTable { + public: + // The store_client and io_context args are NOT used. + explicit FakeGcsActorTable(std::shared_ptr store_client) + : GcsActorTable(store_client) {} + + Status Put(const ActorID &key, + const rpc::ActorTableData &value, + Postable callback) override { + auto status = Status::OK(); + std::move(callback).Post("FakeGcsActorTable.Put", status); + return status; + } + + private: + std::shared_ptr store_client_ = + std::make_shared(); +}; + class GcsActorSchedulerTest : public ::testing::Test { public: void SetUp() override { io_context_ = std::make_unique("GcsActorSchedulerTest"); - raylet_client_ = std::make_shared(); + raylet_client_ = std::make_shared(); raylet_client_pool_ = std::make_shared( [this](const rpc::Address &addr) { return raylet_client_; }); - worker_client_ = std::make_shared(); + worker_client_ = std::make_shared(); gcs_publisher_ = std::make_shared( std::make_unique()); store_client_ = std::make_shared(); @@ -51,8 +104,7 @@ class GcsActorSchedulerTest : public ::testing::Test { io_context_->GetIoService(), raylet_client_pool_.get(), ClusterID::Nil()); - gcs_actor_table_ = - std::make_shared(store_client_); + gcs_actor_table_ = std::make_shared(store_client_); local_node_id_ = NodeID::FromRandom(); cluster_resource_scheduler_ = std::make_unique( io_context_->GetIoService(), @@ -81,7 +133,7 @@ class GcsActorSchedulerTest : public ::testing::Test { local_node_id_); worker_client_pool_ = std::make_unique( [this](const rpc::Address &address) { return worker_client_; }); - gcs_actor_scheduler_ = std::make_shared( + gcs_actor_scheduler_ = std::make_shared( io_context_->GetIoService(), *gcs_actor_table_, *gcs_node_manager_, @@ -157,15 +209,15 @@ class GcsActorSchedulerTest : public ::testing::Test { protected: std::unique_ptr io_context_; std::shared_ptr store_client_; - std::shared_ptr gcs_actor_table_; - std::shared_ptr raylet_client_; - std::shared_ptr worker_client_; + std::shared_ptr gcs_actor_table_; + std::shared_ptr raylet_client_; + std::shared_ptr worker_client_; std::unique_ptr worker_client_pool_; std::shared_ptr gcs_node_manager_; std::unique_ptr local_task_manager_; std::unique_ptr cluster_resource_scheduler_; std::shared_ptr cluster_task_manager_; - std::shared_ptr gcs_actor_scheduler_; + std::shared_ptr gcs_actor_scheduler_; std::shared_ptr>> counter; std::vector> failure_actors_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 5507a24b0461..0149b081b648 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -22,6 +22,7 @@ #include #include +#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" @@ -33,7 +34,6 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" @@ -54,7 +54,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { protected: static constexpr char kRayletConfig[] = R"({"raylet_config":"this is a config"})"; instrumented_io_context io_service_; - std::shared_ptr raylet_client_; + std::shared_ptr raylet_client_; std::shared_ptr client_pool_; std::unique_ptr cluster_resource_manager_; std::shared_ptr gcs_resource_manager_; @@ -68,7 +68,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { std::unique_ptr worker_client_pool_; void SetUp() override { - raylet_client_ = std::make_shared(); + raylet_client_ = std::make_shared(); client_pool_ = std::make_unique( [this](const rpc::Address &) { return raylet_client_; }); cluster_resource_manager_ = std::make_unique(io_service_); diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc index ca7355faf94e..359814b61514 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc @@ -14,20 +14,19 @@ #include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include + #include #include #include -// clang-format off -#include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/util/counter_map.h" -#include "mock/ray/pubsub/publisher.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -// clang-format on namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc index cfeef60a5fa6..af3db9c5f798 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc @@ -13,22 +13,29 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" + +#include + #include #include #include #include -// clang-format off -#include "gtest/gtest.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/tests/gcs_server_test_util.h" +#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_server/gcs_placement_group.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/util/counter_map.h" -#include "mock/ray/pubsub/publisher.h" -// clang-format on namespace ray { +namespace gcs { enum class GcsPlacementGroupStatus : int32_t { SUCCESS = 0, @@ -44,12 +51,12 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { io_service_.run(); })); for (int index = 0; index < 3; ++index) { - raylet_clients_.push_back(std::make_shared()); + raylet_clients_.push_back(std::make_shared()); } - gcs_table_storage_ = std::make_unique( - std::make_unique()); - gcs_publisher_ = std::make_shared( - std::make_unique()); + gcs_table_storage_ = + std::make_unique(std::make_unique()); + gcs_publisher_ = + std::make_shared(std::make_unique()); auto local_node_id = NodeID::FromRandom(); cluster_resource_scheduler_ = std::make_shared( io_service_, @@ -58,25 +65,25 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { /*is_node_available_fn=*/ [](auto) { return true; }, /*is_local_node_with_raylet=*/false); - gcs_node_manager_ = std::make_shared(gcs_publisher_.get(), - gcs_table_storage_.get(), - io_service_, - raylet_client_pool_.get(), - ClusterID::Nil()); - gcs_resource_manager_ = std::make_shared( + gcs_node_manager_ = std::make_shared(gcs_publisher_.get(), + gcs_table_storage_.get(), + io_service_, + raylet_client_pool_.get(), + ClusterID::Nil()); + gcs_resource_manager_ = std::make_shared( io_service_, cluster_resource_scheduler_->GetClusterResourceManager(), *gcs_node_manager_, local_node_id); - store_client_ = std::make_shared(); + store_client_ = std::make_shared(); raylet_client_pool_ = std::make_unique( [this](const rpc::Address &addr) { return raylet_clients_[addr.port()]; }); - scheduler_ = std::make_shared( - io_service_, - *gcs_table_storage_, - *gcs_node_manager_, - *cluster_resource_scheduler_, - *raylet_client_pool_); + scheduler_ = + std::make_unique(io_service_, + *gcs_table_storage_, + *gcs_node_manager_, + *cluster_resource_scheduler_, + *raylet_client_pool_); counter_.reset(new CounterMap()); } @@ -105,9 +112,8 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } } - void CheckEqWithPlacementGroupFront( - std::shared_ptr placement_group, - const GcsPlacementGroupStatus status) { + void CheckEqWithPlacementGroupFront(std::shared_ptr placement_group, + const GcsPlacementGroupStatus status) { absl::MutexLock lock(&placement_group_requests_mutex_); if (status == GcsPlacementGroupStatus::SUCCESS) { ASSERT_EQ(placement_group, success_placement_groups_.front()); @@ -140,21 +146,19 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { void ScheduleFailedWithZeroNodeTest(rpc::PlacementStrategy strategy) { ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); - auto placement_group = - std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with zero node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); // The lease request should not be send and the scheduling of placement_group should // fail as there are no available nodes. @@ -170,22 +174,20 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); - auto placement_group = - std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_EQ(1, raylet_clients_[0]->num_lease_requested); ASSERT_EQ(1, raylet_clients_[0]->lease_callbacks.size()); @@ -199,30 +201,28 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { void ReschedulingWhenNodeAddTest(rpc::PlacementStrategy strategy) { AddNode(Mocker::GenNodeInfo(0), 1); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = - [this](std::shared_ptr placement_group) { - absl::MutexLock lock(&placement_group_requests_mutex_); - success_placement_groups_.emplace_back(std::move(placement_group)); - }; + auto success_handler = [this](std::shared_ptr placement_group) { + absl::MutexLock lock(&placement_group_requests_mutex_); + success_placement_groups_.emplace_back(std::move(placement_group)); + }; // Failed to schedule the placement group, because the node resources is not enough. auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); - auto placement_group = - std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( - placement_group, failure_handler, success_handler); + SchedulePgRequest{placement_group, failure_handler, success_handler}); WaitPlacementGroupPendingDone(1, GcsPlacementGroupStatus::FAILURE); CheckPlacementGroupSize(0, GcsPlacementGroupStatus::SUCCESS); // A new node is added, and the rescheduling is successful. AddNode(Mocker::GenNodeInfo(0), 2); scheduler_->ScheduleUnplacedBundles( - placement_group, failure_handler, success_handler); + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -250,18 +250,17 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } void ScheduleUnplacedBundles( - const std::shared_ptr &placement_group) { - scheduler_->ScheduleUnplacedBundles( + const std::shared_ptr &placement_group) { + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); } void GrantPrepareBundleResources(const std::pair &grant0, @@ -290,19 +289,19 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { absl::Mutex placement_group_requests_mutex_; std::unique_ptr thread_io_service_; instrumented_io_context io_service_; - std::shared_ptr store_client_; + std::shared_ptr store_client_; - std::vector> raylet_clients_; - std::shared_ptr gcs_resource_manager_; + std::vector> raylet_clients_; + std::shared_ptr gcs_resource_manager_; std::shared_ptr cluster_resource_scheduler_; - std::shared_ptr gcs_node_manager_; - std::shared_ptr scheduler_; - std::vector> success_placement_groups_ + std::shared_ptr gcs_node_manager_; + std::unique_ptr scheduler_; + std::vector> success_placement_groups_ ABSL_GUARDED_BY(placement_group_requests_mutex_); - std::vector> failure_placement_groups_ + std::vector> failure_placement_groups_ ABSL_GUARDED_BY(placement_group_requests_mutex_); - std::shared_ptr gcs_publisher_; - std::shared_ptr gcs_table_storage_; + std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_table_storage_; std::unique_ptr raylet_client_pool_; std::shared_ptr> counter_; }; @@ -341,21 +340,20 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReplyFailure) { ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_EQ(1, raylet_clients_[0]->num_lease_requested); ASSERT_EQ(1, raylet_clients_[0]->lease_callbacks.size()); @@ -371,24 +369,26 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReplyFailure) { TEST_F(GcsPlacementGroupSchedulerTest, TestSpreadStrategyResourceCheck) { auto node = Mocker::GenNodeInfo(0); AddNode(node, 2); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; auto request = Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 3, 2); - auto placement_group = std::make_shared(request, "", counter_); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + auto placement_group = std::make_shared(request, "", counter_); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // The node resource is not enough, scheduling failed. WaitPlacementGroupPendingDone(1, GcsPlacementGroupStatus::FAILURE); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // The node resource is not enough, scheduling failed. WaitPlacementGroupPendingDone(2, GcsPlacementGroupStatus::FAILURE); @@ -400,21 +400,20 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReturnResource) ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_EQ(1, raylet_clients_[0]->num_lease_requested); ASSERT_EQ(1, raylet_clients_[0]->lease_callbacks.size()); @@ -431,12 +430,12 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReturnResource) TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyBalancedScheduling) { AddNode(Mocker::GenNodeInfo(0)); AddNode(Mocker::GenNodeInfo(1)); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; @@ -448,10 +447,9 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyBalancedScheduling) for (int index = 0; index < 10; ++index) { auto request = Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); - auto placement_group = - std::make_shared(request, "", counter_); + auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( - placement_group, failure_handler, success_handler); + SchedulePgRequest{placement_group, failure_handler, success_handler}); node_index = !raylet_clients_[0]->lease_callbacks.empty() ? 0 : 1; ++node_select_count[node_index]; @@ -478,19 +476,20 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyReschedulingWhenNod TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { auto node0 = Mocker::GenNodeInfo(0); AddNode(node0); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; auto request = Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); - auto placement_group = std::make_shared(request, "", counter_); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + auto placement_group = std::make_shared(request, "", counter_); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -502,9 +501,10 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { AddNode(node1, 1); auto create_placement_group_request2 = Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); - auto placement_group2 = std::make_shared( - create_placement_group_request2, "", counter_); - scheduler_->ScheduleUnplacedBundles(placement_group2, failure_handler, success_handler); + auto placement_group2 = + std::make_shared(create_placement_group_request2, "", counter_); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group2, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -517,22 +517,21 @@ TEST_F(GcsPlacementGroupSchedulerTest, DestroyPlacementGroup) { ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -556,23 +555,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, DestroyCancelledPlacementGroup) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); const auto &placement_group_id = placement_group->GetPlacementGroupID(); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); // Now, cancel the schedule request. ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); @@ -591,23 +589,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, PlacementGroupCancelledDuringCommit) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); const auto &placement_group_id = placement_group->GetPlacementGroupID(); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); // Now, cancel the schedule request. ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); @@ -634,21 +631,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, PlacementGroupCancelledDuringPreparedPut) ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group successfully. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); scheduler_->MarkScheduleCancelled(placement_group->GetPlacementGroupID()); ASSERT_TRUE(raylet_clients_[1]->GrantPrepareBundleResources()); @@ -679,12 +677,12 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyReschedulingWhenNodeAdd) TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyLargeBundlesScheduling) { AddNode(Mocker::GenNodeInfo(0)); AddNode(Mocker::GenNodeInfo(1)); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; @@ -693,8 +691,9 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyLargeBundlesScheduling) { // One node does not have enough resources, so we will divide bundles to two nodes. auto request = Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::PACK, 15); - auto placement_group = std::make_shared(request, "", counter_); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + auto placement_group = std::make_shared(request, "", counter_); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // Prepared resource is batched! ASSERT_EQ(raylet_clients_[0]->num_lease_requested, 1); ASSERT_EQ(raylet_clients_[1]->num_lease_requested, 1); @@ -720,21 +719,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadRescheduleWhenNodeDead) { auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest( "pg1", rpc::PlacementStrategy::STRICT_SPREAD); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group successfully. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // Prepare bundle resources. for (int index = 0; index < node_count; ++index) { @@ -767,7 +767,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadRescheduleWhenNodeDead) { // One node is dead, reschedule the placement group. auto bundle_on_dead_node = placement_group->GetMutableBundle(0); bundle_on_dead_node->clear_node_id(); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // Prepare bundle resources. for (int index = 0; index < node_count; ++index) { @@ -791,19 +792,20 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadRescheduleWhenNodeDead) { TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadStrategyResourceCheck) { auto node0 = Mocker::GenNodeInfo(0); AddNode(node0); - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; auto request = Mocker::GenCreatePlacementGroupRequest( "", rpc::PlacementStrategy::STRICT_SPREAD, 2, 2); - auto placement_group = std::make_shared(request, "", counter_); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + auto placement_group = std::make_shared(request, "", counter_); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // The number of nodes is less than the number of bundles, scheduling failed. WaitPlacementGroupPendingDone(1, GcsPlacementGroupStatus::FAILURE); @@ -811,13 +813,15 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadStrategyResourceCheck) { // Node1 resource is insufficient, scheduling failed. auto node1 = Mocker::GenNodeInfo(1); AddNode(node1, 1); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); WaitPlacementGroupPendingDone(2, GcsPlacementGroupStatus::FAILURE); // The node2 resource is enough and the scheduling is successful. auto node2 = Mocker::GenNodeInfo(2); AddNode(node2); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); ASSERT_TRUE(raylet_clients_[2]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); @@ -911,23 +915,24 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringPreparingResources) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group. // One node is dead, so one bundle failed to schedule. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); ASSERT_EQ(placement_group->GetUnplacedBundles().size(), 2); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); RemoveNode(node1); // This should fail because the node is dead. @@ -948,23 +953,24 @@ TEST_F(GcsPlacementGroupSchedulerTest, ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group. // One node is dead, so one bundle failed to schedule. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); ASSERT_EQ(placement_group->GetUnplacedBundles().size(), 1); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); RemoveNode(node1); // If node is dead right after raylet succeds to create a bundle, it will reply that @@ -989,23 +995,24 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadBeforeCommittingResources) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group. // One node is dead, so one bundle failed to schedule. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); ASSERT_EQ(placement_group->GetUnplacedBundles().size(), 1); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); // node1 dead right after prepare succeeded. To simulate gcs_placement_group_scheduler // finding the node dead before it tries to commit all nodes, we remove node *before* @@ -1027,23 +1034,24 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeErrorDuringCommittingResources) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group. // One node is dead, so one bundle failed to schedule. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); ASSERT_EQ(placement_group->GetUnplacedBundles().size(), 1); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); ASSERT_TRUE(raylet_clients_[1]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); @@ -1063,21 +1071,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringRescheduling) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group successfully. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); ASSERT_TRUE(raylet_clients_[1]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); @@ -1095,7 +1104,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringRescheduling) { // All nodes are dead, reschedule the placement group. placement_group->GetMutableBundle(0)->clear_node_id(); placement_group->GetMutableBundle(1)->clear_node_id(); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); // Before prepare requests are done, suppose a node is dead. @@ -1118,21 +1128,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommit) ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group successfully. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); ASSERT_TRUE(raylet_clients_[1]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); @@ -1150,7 +1161,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommit) // All nodes are dead, reschedule the placement group. placement_group->GetMutableBundle(0)->clear_node_id(); placement_group->GetMutableBundle(1)->clear_node_id(); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // Rescheduling happening. ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); @@ -1175,21 +1187,22 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommitPr ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement group successfully. - auto failure_handler = [this](std::shared_ptr placement_group, + auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }; - auto success_handler = [this](std::shared_ptr placement_group) { + auto success_handler = [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); ASSERT_TRUE(raylet_clients_[1]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); @@ -1207,7 +1220,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommitPr // All nodes are dead, reschedule the placement group. placement_group->GetMutableBundle(0)->clear_node_id(); placement_group->GetMutableBundle(1)->clear_node_id(); - scheduler_->ScheduleUnplacedBundles(placement_group, failure_handler, success_handler); + scheduler_->ScheduleUnplacedBundles( + SchedulePgRequest{placement_group, failure_handler, success_handler}); // Rescheduling happening. // Cancel the placement group scheduling before prepare requests are granted. @@ -1237,8 +1251,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestInitialize) { ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); placement_group->GetMutableBundle(0)->set_node_id(node0->node_id()); placement_group->GetMutableBundle(1)->set_node_id(node1->node_id()); @@ -1270,7 +1284,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPrepareFromDeadNodes) { ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( + auto placement_group = std::make_shared( Mocker::GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. @@ -1298,7 +1312,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPrepareFromNodeWithInsufficientResour ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( + auto placement_group = std::make_shared( Mocker::GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. @@ -1326,7 +1340,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestCommitToDeadNodes) { ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( + auto placement_group = std::make_shared( Mocker::GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. @@ -1354,8 +1368,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestCommitToDeadNodes) { TEST_F(GcsPlacementGroupSchedulerTest, TestCheckingWildcardResource) { auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest( /*name=*/"", /*strategy=*/rpc::PlacementStrategy::SPREAD, /*bundles_count=*/1); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); int wildcard_resource_count = 0; for (const auto &bundle_spec : placement_group->GetBundles()) { for (const auto &resource_entry : bundle_spec->GetFormattedResources()) { @@ -1378,22 +1392,21 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles) { ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -1418,7 +1431,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles) { ASSERT_TRUE(raylet_clients_[0]->GrantCancelResourceReserve()); // Because actors have not released the bundle resources, bundles have to keep waiting. - ASSERT_EQ(scheduler_->GetWaitingRemovedBundlesSize(), 2); + ASSERT_EQ(scheduler_->waiting_removed_bundles_.size(), 2); const auto &node_resources = cluster_resource_scheduler_->GetClusterResourceManager().GetNodeResources( scheduling::NodeID(node->node_id())); @@ -1437,7 +1450,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles) { scheduler_->HandleWaitingRemovedBundles(); // The waiting bundles are removed, and resources are successfully returned to node. - ASSERT_EQ(scheduler_->GetWaitingRemovedBundlesSize(), 0); + ASSERT_EQ(scheduler_->waiting_removed_bundles_.size(), 0); ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID::CPU()), node_resources.total.Get(scheduling::ResourceID::CPU())); } @@ -1448,22 +1461,21 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestBundlesRemovedWhenNodeDead) { ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); - auto placement_group = std::make_shared( - create_placement_group_request, "", counter_); + auto placement_group = + std::make_shared(create_placement_group_request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be // send to the node. - scheduler_->ScheduleUnplacedBundles( + scheduler_->ScheduleUnplacedBundles(SchedulePgRequest{ placement_group, - [this](std::shared_ptr placement_group, - bool is_insfeasble) { + [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); failure_placement_groups_.emplace_back(std::move(placement_group)); }, - [this](std::shared_ptr placement_group) { + [this](std::shared_ptr placement_group) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); - }); + }}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); WaitPendingDone(raylet_clients_[0]->commit_callbacks, 1); ASSERT_TRUE(raylet_clients_[0]->GrantCommitBundleResources()); @@ -1479,7 +1491,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestBundlesRemovedWhenNodeDead) { // There shouldn't be any remaining bundles to be removed since the node is // already removed. The bundles are already removed when the node is removed. - ASSERT_EQ(scheduler_->GetWaitingRemovedBundlesSize(), 0); + ASSERT_EQ(scheduler_->waiting_removed_bundles_.size(), 0); } +} // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h deleted file mode 100644 index eb8cf7da9eba..000000000000 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ /dev/null @@ -1,386 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include -#include -#include - -#include "absl/base/thread_annotations.h" -#include "absl/synchronization/mutex.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/store_client/in_memory_store_client.h" - -namespace ray { - -struct GcsServerMocker { - class MockWorkerClient : public rpc::CoreWorkerClientInterface { - public: - void PushNormalTask( - std::unique_ptr request, - const rpc::ClientCallback &callback) override { - absl::MutexLock lock(&mutex_); - callbacks_.push_back(callback); - } - - bool ReplyPushTask(Status status = Status::OK(), bool exit = false) { - rpc::ClientCallback callback = nullptr; - { - absl::MutexLock lock(&mutex_); - if (callbacks_.size() == 0) { - return false; - } - callback = callbacks_.front(); - callbacks_.pop_front(); - } - // call the callback without the lock to avoid deadlock. - auto reply = rpc::PushTaskReply(); - if (exit) { - reply.set_worker_exiting(true); - } - callback(status, std::move(reply)); - return true; - } - - size_t GetNumCallbacks() { - absl::MutexLock lock(&mutex_); - return callbacks_.size(); - } - - std::list> callbacks_ ABSL_GUARDED_BY(mutex_); - absl::Mutex mutex_; - }; - - class MockRayletClient : public FakeRayletClient { - public: - ray::Status ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { - if (disconnect_worker) { - num_workers_disconnected++; - } else { - num_workers_returned++; - } - return Status::OK(); - } - - void GetTaskFailureCause( - const TaskID &task_id, - const ray::rpc::ClientCallback &callback) - override { - ray::rpc::GetTaskFailureCauseReply reply; - callback(Status::OK(), std::move(reply)); - num_get_task_failure_causes += 1; - } - - void RequestWorkerLease( - const rpc::TaskSpec &spec, - bool grant_or_reject, - const rpc::ClientCallback &callback, - const int64_t backlog_size, - const bool is_selected_based_on_locality) override { - num_workers_requested += 1; - callbacks.push_back(callback); - } - - void PrestartWorkers( - const rpc::PrestartWorkersRequest &request, - const rpc::ClientCallback &callback) override { - RAY_LOG(FATAL) << "Not implemented"; - } - - void ReleaseUnusedActorWorkers( - const std::vector &workers_in_use, - const rpc::ClientCallback &callback) - override { - num_release_unused_workers += 1; - release_callbacks.push_back(callback); - } - - void CancelWorkerLease( - const TaskID &task_id, - const rpc::ClientCallback &callback) override { - num_leases_canceled += 1; - cancel_callbacks.push_back(callback); - } - - bool GrantWorkerLease() { - return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id_, NodeID::Nil()); - } - - bool GrantWorkerLease(const std::string &address, - int port, - const WorkerID &worker_id, - const NodeID &node_id, - const NodeID &retry_at_node_id, - Status status = Status::OK(), - bool rejected = false) { - rpc::RequestWorkerLeaseReply reply; - if (!retry_at_node_id.IsNil()) { - reply.mutable_retry_at_raylet_address()->set_ip_address(address); - reply.mutable_retry_at_raylet_address()->set_port(port); - reply.mutable_retry_at_raylet_address()->set_node_id(retry_at_node_id.Binary()); - } else { - reply.mutable_worker_address()->set_ip_address(address); - reply.mutable_worker_address()->set_port(port); - reply.mutable_worker_address()->set_node_id(node_id.Binary()); - reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); - } - if (rejected) { - reply.set_rejected(true); - auto resources_data = reply.mutable_resources_data(); - resources_data->set_node_id(node_id.Binary()); - resources_data->set_resources_normal_task_changed(true); - auto &normal_task_map = *(resources_data->mutable_resources_normal_task()); - normal_task_map[kMemory_ResourceLabel] = - static_cast(std::numeric_limits::max()); - resources_data->set_resources_normal_task_timestamp(absl::GetCurrentTimeNanos()); - } - - if (callbacks.size() == 0) { - return false; - } else { - auto callback = callbacks.front(); - callback(status, std::move(reply)); - callbacks.pop_front(); - return true; - } - } - - bool ReplyCancelWorkerLease(bool success = true) { - rpc::CancelWorkerLeaseReply reply; - reply.set_success(success); - if (cancel_callbacks.size() == 0) { - return false; - } else { - auto callback = cancel_callbacks.front(); - callback(Status::OK(), std::move(reply)); - cancel_callbacks.pop_front(); - return true; - } - } - - bool ReplyReleaseUnusedActorWorkers() { - rpc::ReleaseUnusedActorWorkersReply reply; - if (release_callbacks.size() == 0) { - return false; - } else { - auto callback = release_callbacks.front(); - callback(Status::OK(), std::move(reply)); - release_callbacks.pop_front(); - return true; - } - } - - bool ReplyDrainRaylet() { - if (drain_raylet_callbacks.size() == 0) { - return false; - } else { - rpc::DrainRayletReply reply; - reply.set_is_accepted(true); - auto callback = drain_raylet_callbacks.front(); - callback(Status::OK(), std::move(reply)); - drain_raylet_callbacks.pop_front(); - return true; - } - } - - void PrepareBundleResources( - const std::vector> &bundle_specs, - const ray::rpc::ClientCallback &callback) - override { - num_lease_requested += 1; - lease_callbacks.push_back(callback); - } - - void CommitBundleResources( - const std::vector> &bundle_specs, - const ray::rpc::ClientCallback &callback) - override { - num_commit_requested += 1; - commit_callbacks.push_back(callback); - } - - void CancelResourceReserve( - const BundleSpecification &bundle_spec, - const ray::rpc::ClientCallback &callback) - override { - num_return_requested += 1; - return_callbacks.push_back(callback); - } - - void ReleaseUnusedBundles( - const std::vector &bundles_in_use, - const rpc::ClientCallback &callback) override { - ++num_release_unused_bundles_requested; - } - - bool GrantPrepareBundleResources(bool success = true, - const Status &status = Status::OK()) { - rpc::PrepareBundleResourcesReply reply; - reply.set_success(success); - if (lease_callbacks.size() == 0) { - return false; - } else { - auto callback = lease_callbacks.front(); - callback(status, std::move(reply)); - lease_callbacks.pop_front(); - return true; - } - } - - bool GrantCommitBundleResources(const Status &status = Status::OK()) { - rpc::CommitBundleResourcesReply reply; - if (commit_callbacks.size() == 0) { - return false; - } else { - auto callback = commit_callbacks.front(); - callback(status, std::move(reply)); - commit_callbacks.pop_front(); - return true; - } - } - - bool GrantCancelResourceReserve(bool success = true) { - Status status = Status::OK(); - rpc::CancelResourceReserveReply reply; - if (return_callbacks.size() == 0) { - return false; - } else { - auto callback = return_callbacks.front(); - callback(status, std::move(reply)); - return_callbacks.pop_front(); - return true; - } - } - - void DrainRaylet( - const rpc::autoscaler::DrainNodeReason &reason, - const std::string &reason_message, - int64_t deadline_timestamp_ms, - const rpc::ClientCallback &callback) override { - rpc::DrainRayletReply reply; - reply.set_is_accepted(true); - drain_raylet_callbacks.push_back(callback); - }; - - ~MockRayletClient() {} - - int num_workers_requested = 0; - int num_workers_returned = 0; - int num_workers_disconnected = 0; - int num_leases_canceled = 0; - int num_release_unused_workers = 0; - int num_get_task_failure_causes = 0; - NodeID node_id_ = NodeID::FromRandom(); - std::list> drain_raylet_callbacks = {}; - std::list> callbacks = {}; - std::list> cancel_callbacks = {}; - std::list> - release_callbacks = {}; - int num_lease_requested = 0; - int num_return_requested = 0; - int num_commit_requested = 0; - - int num_release_unused_bundles_requested = 0; - std::list> lease_callbacks = {}; - std::list> commit_callbacks = {}; - std::list> return_callbacks = {}; - }; - - class MockedGcsActorScheduler : public gcs::GcsActorScheduler { - public: - using gcs::GcsActorScheduler::GcsActorScheduler; - - void TryLeaseWorkerFromNodeAgain(std::shared_ptr actor, - std::shared_ptr node) { - DoRetryLeasingWorkerFromNode(std::move(actor), std::move(node)); - } - - protected: - void RetryLeasingWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node) override { - ++num_retry_leasing_count_; - if (num_retry_leasing_count_ <= 1) { - DoRetryLeasingWorkerFromNode(actor, node); - } - } - - void RetryCreatingActorOnWorker(std::shared_ptr actor, - std::shared_ptr worker) override { - ++num_retry_creating_count_; - DoRetryCreatingActorOnWorker(actor, worker); - } - - public: - int num_retry_leasing_count_ = 0; - int num_retry_creating_count_ = 0; - }; - - class MockedGcsPlacementGroupScheduler : public gcs::GcsPlacementGroupScheduler { - public: - using gcs::GcsPlacementGroupScheduler::GcsPlacementGroupScheduler; - - size_t GetWaitingRemovedBundlesSize() { return waiting_removed_bundles_.size(); } - - using gcs::GcsPlacementGroupScheduler::ScheduleUnplacedBundles; - // Extra conveinence overload for the mock tests to keep using the old interface. - void ScheduleUnplacedBundles( - const std::shared_ptr &placement_group, - gcs::PGSchedulingFailureCallback failure_callback, - gcs::PGSchedulingSuccessfulCallback success_callback) { - ScheduleUnplacedBundles( - gcs::SchedulePgRequest{placement_group, failure_callback, success_callback}); - }; - - protected: - friend class GcsPlacementGroupSchedulerTest; - FRIEND_TEST(GcsPlacementGroupSchedulerTest, TestCheckingWildcardResource); - }; - class MockedGcsActorTable : public gcs::GcsActorTable { - public: - // The store_client and io_context args are NOT used. - explicit MockedGcsActorTable(std::shared_ptr store_client) - : GcsActorTable(store_client) {} - - Status Put(const ActorID &key, - const rpc::ActorTableData &value, - Postable callback) override { - auto status = Status::OK(); - std::move(callback).Post("FakeGcsActorTable.Put", status); - return status; - } - - private: - std::shared_ptr store_client_ = - std::make_shared(); - }; -}; - -} // namespace ray diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index d85e2e164fea..52321de9f933 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -180,6 +180,7 @@ ray_cc_test( ":util", "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:ray_object", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/raylet:local_object_manager_interface", diff --git a/src/ray/rpc/node_manager/tests/BUILD.bazel b/src/ray/rpc/node_manager/tests/BUILD.bazel index e8c9d9dd6b2d..d26b0fdb0a0d 100644 --- a/src/ray/rpc/node_manager/tests/BUILD.bazel +++ b/src/ray/rpc/node_manager/tests/BUILD.bazel @@ -6,7 +6,7 @@ ray_cc_test( srcs = ["raylet_client_pool_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", + "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/rpc:node_manager_client", "@com_google_googletest//:gtest", From f574b5b80d8c11eb0dce2ab340fb37c073e83849 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Thu, 28 Aug 2025 09:44:31 -0700 Subject: [PATCH 0917/1566] [serve] use shutdown async for microbenchmark cleanup (#56013) ## Why are these changes needed? `serve.shutdown()` is best effort in async contexts. we should use `shutdown_async()` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../serve_tests/workloads/microbenchmarks.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/release/serve_tests/workloads/microbenchmarks.py b/release/serve_tests/workloads/microbenchmarks.py index 983cef1d5f3a..d75a204f14cf 100644 --- a/release/serve_tests/workloads/microbenchmarks.py +++ b/release/serve_tests/workloads/microbenchmarks.py @@ -145,7 +145,7 @@ async def _main( num_requests=NUM_REQUESTS, ) perf_metrics.extend(convert_latencies_to_perf_metrics(name, latencies)) - serve.shutdown() + await serve.shutdown_async() if run_throughput: # Microbenchmark: HTTP throughput @@ -177,7 +177,7 @@ async def _main( perf_metrics.extend( convert_throughput_to_perf_metrics(test_name, mean, std) ) - serve.shutdown() + await serve.shutdown_async() if run_streaming: # Direct streaming between replica @@ -214,7 +214,7 @@ async def _main( perf_metrics.extend( convert_latencies_to_perf_metrics("http_streaming", latencies) ) - serve.shutdown() + await serve.shutdown_async() # Streaming with intermediate router serve.run( @@ -248,7 +248,7 @@ async def _main( "http_intermediate_streaming", latencies ) ) - serve.shutdown() + await serve.shutdown_async() # GRPC if run_grpc: @@ -280,7 +280,7 @@ async def _main( num_requests=NUM_REQUESTS, ) perf_metrics.extend(convert_latencies_to_perf_metrics(name, latencies)) - serve.shutdown() + await serve.shutdown_async() if run_throughput: # Microbenchmark: GRPC throughput @@ -315,7 +315,7 @@ async def _main( perf_metrics.extend( convert_throughput_to_perf_metrics(test_name, mean, std) ) - serve.shutdown() + await serve.shutdown_async() # Handle if run_handle: @@ -330,7 +330,7 @@ async def _main( num_requests=NUM_REQUESTS, payload=payload ) perf_metrics.extend(convert_latencies_to_perf_metrics(name, latencies)) - serve.shutdown() + await serve.shutdown_async() if run_throughput: # Microbenchmark: Handle throughput @@ -367,7 +367,7 @@ async def _main( perf_metrics.extend( convert_throughput_to_perf_metrics(test_name, mean, std) ) - serve.shutdown() + await serve.shutdown_async() if run_streaming: h: DeploymentHandle = serve.run( @@ -394,7 +394,7 @@ async def _main( perf_metrics.extend( convert_latencies_to_perf_metrics("handle_streaming", latencies) ) - serve.shutdown() + await serve.shutdown_async() logging.info(f"Perf metrics:\n {json.dumps(perf_metrics, indent=4)}") results = {"perf_metrics": perf_metrics} From 95f896e52b2b8c593839f6793a4962c7d26ed19a Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Thu, 28 Aug 2025 09:45:35 -0700 Subject: [PATCH 0918/1566] Calculate _num_batches_to_skip based on global_rows_processed_this_epoch (#55964) 1. Previously, we use `_restored_train_batch_idx` as a run_state to determine how many batches to skip when resuming training. 2. In this PR we introduced a `_global_rows_processed_this_epoch` and `_num_batches_to_skip` instead so that it will be easier for us to calculate the num_batches to skip when resuming training with different number of workers. 3. Added one `checkpoint_every_n_steps: int = -1` config so that we can separate validation and checkpoint frequency. 4. release test run: https://buildkite.com/ray-project/release/builds/55274 Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/train_tests/benchmark/config.py | 27 ++++---- release/train_tests/benchmark/runner.py | 68 +++++++++++++------ .../train_tests/benchmark/train_benchmark.py | 24 ++++--- 3 files changed, 79 insertions(+), 40 deletions(-) diff --git a/release/train_tests/benchmark/config.py b/release/train_tests/benchmark/config.py index 03f55de0ce6d..b0686d8c4d23 100644 --- a/release/train_tests/benchmark/config.py +++ b/release/train_tests/benchmark/config.py @@ -83,6 +83,9 @@ class BenchmarkConfig(BaseModel): num_epochs: int = 1 skip_train_step: bool = False + # Checkpointing + checkpoint_every_n_steps: int = -1 + # Validation validate_every_n_steps: int = -1 skip_validation_step: bool = False @@ -109,11 +112,11 @@ def _add_field_to_parser(parser: argparse.ArgumentParser, field: str, field_info parser.add_argument(f"--{field}", type=field_type, default=field_info.default) -def cli_to_config() -> BenchmarkConfig: +def cli_to_config(benchmark_config_cls=BenchmarkConfig) -> BenchmarkConfig: parser = argparse.ArgumentParser() nested_fields = [] - for field, field_info in BenchmarkConfig.model_fields.items(): + for field, field_info in benchmark_config_cls.model_fields.items(): # Skip nested configs for now if _is_pydantic_model(field_info.annotation): nested_fields.append(field) @@ -127,24 +130,24 @@ def cli_to_config() -> BenchmarkConfig: nested_configs = {} for nested_field in nested_fields: nested_parser = argparse.ArgumentParser() - config_cls = BenchmarkConfig.model_fields[nested_field].annotation + nested_config_cls = benchmark_config_cls.model_fields[nested_field].annotation - if config_cls == DataLoaderConfig: + if nested_config_cls == DataLoaderConfig: if top_level_args.dataloader_type == DataloaderType.RAY_DATA: - config_cls = RayDataConfig + nested_config_cls = RayDataConfig elif top_level_args.dataloader_type == DataloaderType.TORCH: - config_cls = TorchConfig + nested_config_cls = TorchConfig - if config_cls == TaskConfig: + if nested_config_cls == TaskConfig: if top_level_args.task == ImageClassificationConfig.TASK_NAME: - config_cls = ImageClassificationConfig + nested_config_cls = ImageClassificationConfig elif top_level_args.task == RecsysConfig.TASK_NAME: - config_cls = RecsysConfig + nested_config_cls = RecsysConfig - for field, field_info in config_cls.model_fields.items(): + for field, field_info in nested_config_cls.model_fields.items(): _add_field_to_parser(nested_parser, field, field_info) args, _ = nested_parser.parse_known_args() - nested_configs[nested_field] = config_cls(**vars(args)) + nested_configs[nested_field] = nested_config_cls(**vars(args)) - return BenchmarkConfig(**vars(top_level_args), **nested_configs) + return benchmark_config_cls(**vars(top_level_args), **nested_configs) diff --git a/release/train_tests/benchmark/runner.py b/release/train_tests/benchmark/runner.py index 5842059fae6a..ab20c9205a40 100644 --- a/release/train_tests/benchmark/runner.py +++ b/release/train_tests/benchmark/runner.py @@ -32,7 +32,7 @@ def __init__(self, factory: BenchmarkFactory): # Training progress state. self._train_batch_idx: int = 0 self._train_epoch_idx: int = 0 - self._restored_train_batch_idx: Optional[int] = None + self._global_rows_processed_this_epoch: int = 0 # Performance metrics self._metrics = collections.defaultdict(lambda: Timer()) @@ -121,6 +121,17 @@ def dataloader_with_timers(): return dataloader_with_timers() + @property + def _num_batches_to_skip(self) -> int: + """Calculate the number of batches to skip based on the number of rows already processed in this epoch.""" + + global_batch_size = ( + self.benchmark_config.dataloader_config.train_batch_size + * ray.train.get_context().get_world_size() + ) + + return self._global_rows_processed_this_epoch // global_batch_size + def _train_epoch(self): """Subclasses can override the entrire `_train_epoch` method for more training logic customization.""" @@ -132,11 +143,11 @@ def _train_epoch(self): # Skip through batches if we restored to a middle of the epoch. # TODO: Compare this baseline to the data checkpointing approach once we have it. - if self._restored_train_batch_idx is not None: + if self._num_batches_to_skip: if ray.train.get_context().get_world_rank() == 0: - logger.info(f"Skipping {self._restored_train_batch_idx + 1} batches...") + logger.info(f"Skipping {self._num_batches_to_skip} batches...") - for _ in range(self._restored_train_batch_idx + 1): + for _ in range(self._num_batches_to_skip): with self._metrics["train/iter_skip_batch"].timer(): next(train_dataloader) @@ -146,18 +157,27 @@ def _train_epoch(self): self._train_step(batch) # TODO: This is slightly off if the last batch is a partial batch (if drop_last=False) - self._metrics["train/rows_processed"].add( + global_batch_size = ( self.benchmark_config.dataloader_config.train_batch_size + * ray.train.get_context().get_world_size() ) + self._metrics["train/rows_processed"].add(global_batch_size) + + self._global_rows_processed_this_epoch += global_batch_size + + if self._should_checkpoint_during_epoch(): + self._checkpoint() if self._should_validate_during_epoch(): - self._validate_and_checkpoint() + validation_metrics = self._validate() + self._checkpoint(validation_metrics) if self._should_log_metrics(): logger.info(pprint.pformat(self.get_metrics(), indent=2)) self._train_epoch_idx += 1 self._train_batch_idx = 0 + self._global_rows_processed_this_epoch = 0 def _validate_epoch(self) -> Dict[str, float]: if ray.train.get_context().get_world_rank() == 0: @@ -184,6 +204,14 @@ def _validate_epoch(self) -> Dict[str, float]: return {"validation/loss": total_loss.item() / num_rows} + def _should_checkpoint_during_epoch(self) -> bool: + """Handles the checkpoint_every_n_steps logic.""" + return ( + self.benchmark_config.checkpoint_every_n_steps > 0 + and self._train_batch_idx % self.benchmark_config.checkpoint_every_n_steps + == 0 + ) + def _should_validate_during_epoch(self) -> bool: """Handles the validate_every_n_steps logic.""" return ( @@ -200,10 +228,12 @@ def _should_log_metrics(self) -> bool: == 0 ) - def _validate_and_checkpoint(self): + def _validate(self) -> Dict[str, float]: with self._metrics["validation/epoch"].timer(): validation_metrics = self._validate_epoch() + return validation_metrics + def _checkpoint(self, metrics: Optional[Dict[str, float]] = None): with tempfile.TemporaryDirectory( dir="/mnt/local_storage" ) as temp_checkpoint_dir: @@ -212,7 +242,7 @@ def _validate_and_checkpoint(self): with self._metrics["checkpoint/report"].timer(): self._report_checkpoint( - metrics=validation_metrics, + metrics=metrics or {}, checkpoint=ray.train.Checkpoint.from_directory(temp_checkpoint_dir), ) @@ -221,7 +251,10 @@ def _load_checkpoint(self, local_dir: str): run_state = torch.load(os.path.join(local_dir, "run_state.pt")) self._train_epoch_idx = run_state["epoch"] - self._restored_train_batch_idx = run_state["batch_idx"] + self._train_batch_idx = run_state["batch_idx"] + self._global_rows_processed_this_epoch = run_state[ + "global_rows_processed_this_epoch" + ] with open(os.path.join(local_dir, "metrics.json"), "r") as f: metrics_json = json.load(f) @@ -232,7 +265,7 @@ def _load_checkpoint(self, local_dir: str): if ray.train.get_context().get_world_rank() == 0: logger.info( f"Restored to epoch={self._train_epoch_idx}, " - f"train_batch_idx={self._restored_train_batch_idx} from checkpoint: " + f"train_batch_idx={self._train_batch_idx} from checkpoint: " f"{ray.train.get_checkpoint()}" ) @@ -248,6 +281,7 @@ def _save_checkpoint(self, local_dir: str): run_state = { "epoch": self._train_epoch_idx, "batch_idx": self._train_batch_idx, + "global_rows_processed_this_epoch": self._global_rows_processed_this_epoch, } torch.save(run_state, os.path.join(local_dir, "run_state.pt")) @@ -279,7 +313,8 @@ def run(self): self._train_epoch() if not self.benchmark_config.skip_validation_at_epoch_end: - self._validate_and_checkpoint() + validation_metrics = self._validate() + self._checkpoint(validation_metrics) if ray.train.get_context().get_world_rank() == 0: logger.info(pprint.pformat(self.get_metrics(), indent=2)) @@ -304,7 +339,6 @@ def get_metrics(self, dataset_creation_time: float = 0.0) -> Dict[str, float]: # Throughput # TODO: Ray Data can provide these throughput metrics automatically. - num_workers = ray.train.get_context().get_world_size() train_time = ( metrics["train/dataset_creation_time"] + self._metrics["train/step"].get() @@ -313,11 +347,8 @@ def get_metrics(self, dataset_creation_time: float = 0.0) -> Dict[str, float]: + self._metrics["train/iter_batch"].get() ) if train_time > 0: - metrics["train/local_throughput"] = ( - self._metrics["train/rows_processed"].get() / train_time - ) metrics["train/global_throughput"] = ( - metrics["train/local_throughput"] * num_workers + self._metrics["train/rows_processed"].get() / train_time ) validation_time = ( @@ -328,11 +359,8 @@ def get_metrics(self, dataset_creation_time: float = 0.0) -> Dict[str, float]: + self._metrics["validation/iter_batch"].get() ) if validation_time > 0: - metrics["validation/local_throughput"] = ( - self._metrics["validation/rows_processed"].get() / validation_time - ) metrics["validation/global_throughput"] = ( - metrics["validation/local_throughput"] * num_workers + self._metrics["validation/rows_processed"].get() / validation_time ) # Extra time that each worker spends to restore from checkpoint, diff --git a/release/train_tests/benchmark/train_benchmark.py b/release/train_tests/benchmark/train_benchmark.py index b2650baf985b..f2378a19b32b 100644 --- a/release/train_tests/benchmark/train_benchmark.py +++ b/release/train_tests/benchmark/train_benchmark.py @@ -34,12 +34,26 @@ def train_fn_per_worker(config): runner.run() - metrics = runner.get_metrics(dataset_creation_time=config["dataset_creation_time"]) + metrics = runner.get_metrics( + dataset_creation_time=config.get("dataset_creation_time", 0) + ) if ray.train.get_context().get_world_rank() == 0: with open(METRICS_OUTPUT_PATH, "w") as f: json.dump(metrics, f) +def get_datasets_and_data_config(factory: BenchmarkFactory): + dataloader_factory = factory.get_dataloader_factory() + if isinstance(dataloader_factory, RayDataLoaderFactory): + datasets = dataloader_factory.get_ray_datasets() + data_config = dataloader_factory.get_ray_data_config() + else: + datasets = {} + data_config = None + + return datasets, data_config + + def main(): start_time = time.perf_counter() logging.basicConfig(level=logging.INFO) @@ -60,13 +74,7 @@ def main(): else: raise ValueError(f"Unknown task: {benchmark_config.task}") - dataloader_factory = factory.get_dataloader_factory() - if isinstance(dataloader_factory, RayDataLoaderFactory): - datasets = dataloader_factory.get_ray_datasets() - data_config = dataloader_factory.get_ray_data_config() - else: - datasets = {} - data_config = None + datasets, data_config = get_datasets_and_data_config(factory) dataset_creation_time = time.perf_counter() - start_time From 85d04fa0e95fab08f21962360fc1fe360a1cb76e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 28 Aug 2025 09:59:05 -0700 Subject: [PATCH 0919/1566] [ci] enable bazel strict action env by default (#55985) so that action env vars are properly captured and sandboxed, makes caching working properly. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .bazelrc | 24 +++++++++++++++--------- python/setup.py | 7 ------- 2 files changed, 15 insertions(+), 16 deletions(-) diff --git a/.bazelrc b/.bazelrc index 5e4727932249..c71651133b52 100644 --- a/.bazelrc +++ b/.bazelrc @@ -1,15 +1,11 @@ # Must be first. Enables build:windows, build:linux, build:macos, build:freebsd, build:openbsd build --enable_platform_specific_config -build:linux --workspace_status_command="bash ./bazel/workspace_status.sh" - -# Provides users an option to turn on strict action env. -# TODO(aslonnie): make this default, fix the python tests. -# NOTE(edoakes): enable this by default locally by adding a .user.bazelrc file with: -# build --config=strict -# test --config=strict +build --incompatible_strict_action_env build:strict --incompatible_strict_action_env +build:linux --workspace_status_command="bash ./bazel/workspace_status.sh" + # To distinguish different incompatible environments. build --action_env=RAY_BUILD_ENV @@ -84,8 +80,6 @@ build:iwyu --output_groups=report build:windows --attempt_to_print_relative_paths # Save disk space by hardlinking cache hits instead of copying build:windows --experimental_repository_cache_hardlinks -# Clean the environment before building, to make builds more deterministic -build:windows --incompatible_strict_action_env # For colored output (seems necessary on Windows) build:windows --color=yes # For compiler colored output (seems necessary on Windows) @@ -168,6 +162,18 @@ test:ci-base --test_output=errors test:ci-base --test_verbose_timeout_warnings test:ci-base --flaky_test_attempts=3 +# Sending in PATH is required for tests to run on CI, after we enable +# --incompatible_strict_action_env, until we either convert all Python tests to +# hermetic tests -- which not only requires pinning all Python dependencies with bazel, +# but also requires building ray(test) wheel with bazel. Alternatively, we can +# also stop using bazel test to run ray's Python tests. +# +# This PATH test_env is intentionally not enabled on non-CI so that C/C++ +# tests, which are all hermetic, can build, test and cache as intended, ray +# Python developers do not really use bazel test to run tests locally, but more +# often just run tests with "pytest" directly. +test:ci-base --test_env=PATH + build:ci --color=yes build:ci --curses=no build:ci --keep_going diff --git a/python/setup.py b/python/setup.py index 8918efef130b..bae70a9a265e 100644 --- a/python/setup.py +++ b/python/setup.py @@ -635,13 +635,6 @@ def build(build_python, build_java, build_cpp): bazel_precmd_flags = [] if sys.platform == "win32": bazel_precmd_flags = ["--output_user_root=C:/tmp"] - # Using --incompatible_strict_action_env so that the build is more - # cache-able We cannot turn this on for Python tests yet, as Ray's - # Python bazel tests are not hermetic. - # - # And we put it here so that does not change behavior of - # conda-forge build. - bazel_flags.append("--incompatible_strict_action_env") bazel_targets = [] bazel_targets += ["//:gen_ray_pkg"] if build_python else [] From 1c674f8a801e4c1645a5a1be0c357f34288e3d91 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Thu, 28 Aug 2025 09:59:54 -0700 Subject: [PATCH 0920/1566] [release] Read test filters from both release-test-filters and release-test-attr-regex-filters (#56039) `release-test-attr-regex-filters` is the metadata being used in the input box for Release pipeline which we need to make it backward compatible still after adding `release-test-filters` Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/ray_release/buildkite/settings.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/release/ray_release/buildkite/settings.py b/release/ray_release/buildkite/settings.py index 07cfbd70fcf2..6e6579fe4faa 100644 --- a/release/ray_release/buildkite/settings.py +++ b/release/ray_release/buildkite/settings.py @@ -193,7 +193,9 @@ def update_settings_from_buildkite(settings: Dict): if test_name_filter: settings["test_filters"] = get_test_filters("name:" + test_name_filter) - test_filters = get_buildkite_prompt_value("release-test-filters") + test_filters = get_buildkite_prompt_value( + "release-test-filters" + ) or get_buildkite_prompt_value("release-test-attr-regex-filters") if test_filters: settings["test_filters"] = get_test_filters(test_filters) From c58eedfd8e5270aa2421827e1f360bc8b17f7ae8 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Thu, 28 Aug 2025 10:26:03 -0700 Subject: [PATCH 0921/1566] [air] update `/python/ray/air` CODEOWNERS (#55891) Add Ray Train maintainers as the CODEOWNERS for `/python/ray/air` sub-directory. Without this change, this directory will have Ray Core assigned as the CODEOWNER due to [this line](https://github.com/matthewdeng/ray/blob/ca2d866a95385aea4fd3de1c3b9f5148f899c282/.github/CODEOWNERS#L20-L21). Signed-off-by: Matthew Deng Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 723c50deedda..6d12a001d401 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -51,14 +51,17 @@ /rllib/ @ray-project/ray-rllib /doc/source/rllib/ @ray-project/ray-rllib @ray-project/ray-docs -# Tune +# Ray Tune /python/ray/tune/ @ray-project/ray-tune /doc/source/tune/ @ray-project/ray-tune @ray-project/ray-docs -# Train +# Ray Train /python/ray/train/ @ray-project/ray-train /doc/source/train/ @ray-project/ray-train @ray-project/ray-docs +# Ray AIR +/python/ray/air/ @ray-project/ray-train + # LLM /python/ray/llm/ @ray-project/ray-llm From 84cbab82202e410b15738bddff1fe59c723a29c3 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Thu, 28 Aug 2025 10:26:20 -0700 Subject: [PATCH 0922/1566] [data] Remove unification of schemas (#55926) ## Why are these changes needed? - unification of schemas is slow - revert back to pre https://github.com/ray-project/ray/pull/53454/files commit. if no unification before, no unification after. if unification before, we can leave it there or add it back. If I removed it I added a comment with `# NOTE` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Alexey Kudinkin Co-authored-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 14 ++ .../_internal/arrow_ops/transform_pyarrow.py | 2 +- python/ray/data/_internal/equalize.py | 10 +- .../data/_internal/execution/legacy_compat.py | 21 +-- .../execution/operators/map_operator.py | 16 +- .../execution/streaming_executor_state.py | 11 +- .../logical/operators/from_operators.py | 13 +- .../logical/operators/input_data_operator.py | 4 +- .../logical/operators/read_operator.py | 5 +- python/ray/data/_internal/plan.py | 15 +- .../ray/data/_internal/planner/aggregate.py | 1 + .../push_based_shuffle_task_scheduler.py | 5 +- python/ray/data/_internal/planner/sort.py | 1 + python/ray/data/block.py | 15 ++ python/ray/data/context.py | 4 + python/ray/data/tests/test_deduping_schema.py | 19 ++- .../tests/test_unify_schemas_performance.py | 140 ++++++++++++++++++ 17 files changed, 244 insertions(+), 52 deletions(-) create mode 100644 python/ray/data/tests/test_unify_schemas_performance.py diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 0383364d6ced..bbe95eb076a1 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -1239,6 +1239,20 @@ py_test( ], ) +py_test( + name = "test_unify_schemas_performance", + size = "small", + srcs = ["tests/test_unify_schemas_performance.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_util", size = "small", diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index 453ba23e4e08..04f8b5468f3f 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -182,7 +182,7 @@ def unify_schemas( try: if len(set(schemas)) == 1: # Early exit because unifying can be expensive - return schemas[0] + return schemas.pop() except Exception as e: # Unsure if there are cases where schemas are NOT hashable logger.warning(f"Failed to hash the schemas (for deduplication): {e}") diff --git a/python/ray/data/_internal/equalize.py b/python/ray/data/_internal/equalize.py index 92f6ff6c2afa..52561020dfab 100644 --- a/python/ray/data/_internal/equalize.py +++ b/python/ray/data/_internal/equalize.py @@ -2,8 +2,12 @@ from ray.data._internal.execution.interfaces import RefBundle from ray.data._internal.split import _calculate_blocks_rows, _split_at_indices -from ray.data._internal.util import unify_ref_bundles_schema -from ray.data.block import Block, BlockMetadata, BlockPartition +from ray.data.block import ( + Block, + BlockMetadata, + BlockPartition, + _take_first_non_empty_schema, +) from ray.types import ObjectRef @@ -41,7 +45,7 @@ def _equalize( # phase 2: based on the num rows needed for each shaved split, split the leftovers # in the shape that exactly matches the rows needed. - schema = unify_ref_bundles_schema(per_split_bundles) + schema = _take_first_non_empty_schema(bundle.schema for bundle in per_split_bundles) leftover_bundle = RefBundle(leftovers, owns_blocks=owned_by_consumer, schema=schema) leftover_splits = _split_leftovers(leftover_bundle, per_split_needed_rows) diff --git a/python/ray/data/_internal/execution/legacy_compat.py b/python/ray/data/_internal/execution/legacy_compat.py index af651c797352..fefb1592c736 100644 --- a/python/ray/data/_internal/execution/legacy_compat.py +++ b/python/ray/data/_internal/execution/legacy_compat.py @@ -16,10 +16,11 @@ from ray.data._internal.logical.util import record_operators_usage from ray.data._internal.plan import ExecutionPlan from ray.data._internal.stats import DatasetStats -from ray.data._internal.util import ( - unify_schemas_with_validation, +from ray.data.block import ( + BlockMetadata, + BlockMetadataWithSchema, + _take_first_non_empty_schema, ) -from ray.data.block import BlockMetadata, BlockMetadataWithSchema # Warn about tasks larger than this. TASK_SIZE_WARN_THRESHOLD_BYTES = 100000 @@ -171,18 +172,18 @@ def _get_initial_stats_from_plan(plan: ExecutionPlan) -> DatasetStats: def _bundles_to_block_list(bundles: Iterator[RefBundle]) -> BlockList: blocks, metadata = [], [] owns_blocks = True - schemas = [] + bundle_list = list(bundles) + schema = _take_first_non_empty_schema( + ref_bundle.schema for ref_bundle in bundle_list + ) - for ref_bundle in bundles: + for ref_bundle in bundle_list: if not ref_bundle.owns_blocks: owns_blocks = False blocks.extend(ref_bundle.block_refs) metadata.extend(ref_bundle.metadata) - schemas.append(ref_bundle.schema) - unified_schema = unify_schemas_with_validation(schemas) - return BlockList( - blocks, metadata, owned_by_consumer=owns_blocks, schema=unified_schema - ) + + return BlockList(blocks, metadata, owned_by_consumer=owns_blocks, schema=schema) def _set_stats_uuid_recursive(stats: DatasetStats, dataset_uuid: str) -> None: diff --git a/python/ray/data/_internal/execution/operators/map_operator.py b/python/ray/data/_internal/execution/operators/map_operator.py index 3a9f9bd1bced..3efa53e28bb1 100644 --- a/python/ray/data/_internal/execution/operators/map_operator.py +++ b/python/ray/data/_internal/execution/operators/map_operator.py @@ -48,13 +48,14 @@ ) from ray.data._internal.execution.util import memory_string from ray.data._internal.stats import StatsDict -from ray.data._internal.util import MemoryProfiler, unify_ref_bundles_schema +from ray.data._internal.util import MemoryProfiler from ray.data.block import ( Block, BlockAccessor, BlockExecStats, BlockMetadataWithSchema, BlockStats, + _take_first_non_empty_schema, to_stats, ) from ray.data.context import DataContext @@ -541,8 +542,6 @@ def _map_task( A generator of blocks, followed by the list of BlockMetadata for the blocks as the last generator return. """ - from ray.data.block import BlockMetadataWithSchema - logger.debug( "Executing map task of operator %s with task index %d", ctx.op_name, @@ -662,14 +661,13 @@ def _get_bundle_size(bundle: RefBundle): def _merge_ref_bundles(*bundles: RefBundle) -> RefBundle: """Merge N ref bundles into a single bundle of multiple blocks.""" # Check that at least one bundle is non-null. - assert any(bundle is not None for bundle in bundles) + bundles = [bundle for bundle in bundles if bundle is not None] + assert len(bundles) > 0 blocks = list( - itertools.chain( - block for bundle in bundles if bundle is not None for block in bundle.blocks - ) + itertools.chain(block for bundle in bundles for block in bundle.blocks) ) - owns_blocks = all(bundle.owns_blocks for bundle in bundles if bundle is not None) - schema = unify_ref_bundles_schema(bundles) + owns_blocks = all(bundle.owns_blocks for bundle in bundles) + schema = _take_first_non_empty_schema(bundle.schema for bundle in bundles) return RefBundle(blocks, owns_blocks=owns_blocks, schema=schema) diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 586e6817e81f..bd4634900651 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -284,7 +284,10 @@ def add_output(self, ref: RefBundle) -> None: """Move a bundle produced by the operator to its outqueue.""" ref, diverged = dedupe_schemas_with_validation( - self._schema, ref, warn=not self._warned_on_schema_divergence + self._schema, + ref, + warn=not self._warned_on_schema_divergence, + enforce_schemas=self.op.data_context.enforce_schemas, ) self._schema = ref.schema self._warned_on_schema_divergence |= diverged @@ -757,7 +760,7 @@ def dedupe_schemas_with_validation( old_schema: Optional["Schema"], bundle: "RefBundle", warn: bool = True, - allow_divergent: bool = False, + enforce_schemas: bool = False, ) -> Tuple["RefBundle", bool]: """Unify/Dedupe two schemas, warning if warn=True @@ -766,7 +769,7 @@ def dedupe_schemas_with_validation( the new schema will be used as the old schema. bundle: The new `RefBundle` to unify with the old schema. warn: Raise a warning if the schemas diverge. - allow_divergent: If `True`, allow the schemas to diverge and return unified schema. + enforce_schemas: If `True`, allow the schemas to diverge and return unified schema. If `False`, but keep the old schema. Returns: @@ -793,7 +796,7 @@ def dedupe_schemas_with_validation( f"than the previous one. Previous schema: {old_schema}, " f"new schema: {bundle.schema}. This may lead to unexpected behavior." ) - if allow_divergent: + if enforce_schemas: old_schema = unify_schemas_with_validation([old_schema, bundle.schema]) return ( diff --git a/python/ray/data/_internal/logical/operators/from_operators.py b/python/ray/data/_internal/logical/operators/from_operators.py index 05d0d668d3a6..0f6ec1a7a2d2 100644 --- a/python/ray/data/_internal/logical/operators/from_operators.py +++ b/python/ray/data/_internal/logical/operators/from_operators.py @@ -4,8 +4,12 @@ from ray.data._internal.execution.interfaces import RefBundle from ray.data._internal.logical.interfaces import LogicalOperator, SourceOperator -from ray.data._internal.util import unify_block_metadata_schema -from ray.data.block import Block, BlockMetadata, BlockMetadataWithSchema +from ray.data._internal.util import unify_ref_bundles_schema +from ray.data.block import ( + Block, + BlockMetadata, + BlockMetadataWithSchema, +) from ray.types import ObjectRef if TYPE_CHECKING: @@ -28,12 +32,11 @@ def __init__( len(input_metadata), ) # `owns_blocks` is False because this op may be shared by multiple Datasets. - self._schema = unify_block_metadata_schema(input_metadata) self._input_data = [ RefBundle( [(input_blocks[i], input_metadata[i])], owns_blocks=False, - schema=self._schema, + schema=input_metadata[i].schema, ) for i in range(len(input_blocks)) ] @@ -71,7 +74,7 @@ def infer_metadata(self) -> BlockMetadata: return self._cached_output_metadata def infer_schema(self): - return self._schema + return unify_ref_bundles_schema(self._input_data) def is_lineage_serializable(self) -> bool: # This operator isn't serializable because it contains ObjectRefs. diff --git a/python/ray/data/_internal/logical/operators/input_data_operator.py b/python/ray/data/_internal/logical/operators/input_data_operator.py index f779d582706b..373a12e84961 100644 --- a/python/ray/data/_internal/logical/operators/input_data_operator.py +++ b/python/ray/data/_internal/logical/operators/input_data_operator.py @@ -3,7 +3,7 @@ from ray.data._internal.execution.interfaces import RefBundle from ray.data._internal.logical.interfaces import LogicalOperator, SourceOperator -from ray.data._internal.util import unify_ref_bundles_schema +from ray.data._internal.util import unify_schemas_with_validation from ray.data.block import BlockMetadata @@ -49,7 +49,7 @@ def _size_bytes(self): return None def infer_schema(self): - return unify_ref_bundles_schema(self.input_data) + return unify_schemas_with_validation([data.schema for data in self.input_data]) def is_lineage_serializable(self) -> bool: # This operator isn't serializable because it contains ObjectRefs. diff --git a/python/ray/data/_internal/logical/operators/read_operator.py b/python/ray/data/_internal/logical/operators/read_operator.py index b3ba9c42b498..aef39c554d23 100644 --- a/python/ray/data/_internal/logical/operators/read_operator.py +++ b/python/ray/data/_internal/logical/operators/read_operator.py @@ -3,7 +3,10 @@ from ray.data._internal.logical.interfaces import SourceOperator from ray.data._internal.logical.operators.map_operator import AbstractMap -from ray.data.block import BlockMetadata, BlockMetadataWithSchema +from ray.data.block import ( + BlockMetadata, + BlockMetadataWithSchema, +) from ray.data.datasource.datasource import Datasource, Reader diff --git a/python/ray/data/_internal/plan.py b/python/ray/data/_internal/plan.py index a471949d89e3..ba4d6df6727f 100644 --- a/python/ray/data/_internal/plan.py +++ b/python/ray/data/_internal/plan.py @@ -14,8 +14,7 @@ from ray.data._internal.logical.interfaces.operator import Operator from ray.data._internal.logical.operators.read_operator import Read from ray.data._internal.stats import DatasetStats -from ray.data._internal.util import unify_ref_bundles_schema -from ray.data.block import BlockMetadataWithSchema +from ray.data.block import BlockMetadataWithSchema, _take_first_non_empty_schema from ray.data.context import DataContext from ray.data.exceptions import omit_traceback_stdout from ray.util.debug import log_once @@ -401,10 +400,9 @@ def schema( iter_ref_bundles, _, executor = self.execute_to_iterator() # Make sure executor is fully shutdown upon exiting with executor: - for bundle in iter_ref_bundles: - if bundle.schema is not None: - schema = bundle.schema - break + schema = _take_first_non_empty_schema( + bundle.schema for bundle in iter_ref_bundles + ) self.cache_schema(schema) return self._schema @@ -516,9 +514,10 @@ def execute( # `List[RefBundle]` instead of `RefBundle`. Among other reasons, it'd # allow us to remove the unwrapping logic below. output_bundles = self._logical_plan.dag.output_data() - schema = self._logical_plan.dag.infer_schema() owns_blocks = all(bundle.owns_blocks for bundle in output_bundles) - schema = unify_ref_bundles_schema(output_bundles) + schema = _take_first_non_empty_schema( + bundle.schema for bundle in output_bundles + ) bundle = RefBundle( [ (block, metadata) diff --git a/python/ray/data/_internal/planner/aggregate.py b/python/ray/data/_internal/planner/aggregate.py index 75c42657391f..199382e226f0 100644 --- a/python/ray/data/_internal/planner/aggregate.py +++ b/python/ray/data/_internal/planner/aggregate.py @@ -52,6 +52,7 @@ def fn( metadata.extend(ref_bundle.metadata) if len(blocks) == 0: return (blocks, {}) + unified_schema = unify_ref_bundles_schema(refs) for agg_fn in aggs: agg_fn._validate(unified_schema) diff --git a/python/ray/data/_internal/planner/exchange/push_based_shuffle_task_scheduler.py b/python/ray/data/_internal/planner/exchange/push_based_shuffle_task_scheduler.py index eac3c1e88e30..901eb69bd969 100644 --- a/python/ray/data/_internal/planner/exchange/push_based_shuffle_task_scheduler.py +++ b/python/ray/data/_internal/planner/exchange/push_based_shuffle_task_scheduler.py @@ -14,7 +14,6 @@ from ray.data._internal.stats import StatsDict from ray.data._internal.util import ( convert_bytes_to_human_readable_str, - unify_schemas_with_validation, unzip, ) from ray.data.block import ( @@ -23,6 +22,7 @@ BlockExecStats, BlockMetadata, BlockMetadataWithSchema, + _take_first_non_empty_schema, to_stats, ) from ray.data.context import DataContext @@ -743,13 +743,14 @@ def _merge( del block schemas.append(meta_with_schema.schema) + schema = _take_first_non_empty_schema(iter(schemas)) + meta = BlockMetadata( num_rows=num_rows, size_bytes=size_bytes, input_files=None, exec_stats=stats.build(), ) - schema = unify_schemas_with_validation(schemas) meta_with_schema = BlockMetadataWithSchema(metadata=meta, schema=schema) yield meta_with_schema diff --git a/python/ray/data/_internal/planner/sort.py b/python/ray/data/_internal/planner/sort.py index ece9a76e01ce..852154c66c36 100644 --- a/python/ray/data/_internal/planner/sort.py +++ b/python/ray/data/_internal/planner/sort.py @@ -36,6 +36,7 @@ def fn( blocks.extend(ref_bundle.block_refs) if len(blocks) == 0: return (blocks, {}) + sort_key.validate_schema(unify_ref_bundles_schema(refs)) num_mappers = len(blocks) diff --git a/python/ray/data/block.py b/python/ray/data/block.py index 64b09334f4f2..d0edaf4a8574 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -114,6 +114,21 @@ def _is_empty_schema(schema: Optional[Schema]) -> bool: ) +def _take_first_non_empty_schema(schemas: Iterator["Schema"]) -> Optional["Schema"]: + """Return the first non-empty schema from an iterator of schemas. + + Args: + schemas: Iterator of schemas to check. + + Returns: + The first non-empty schema, or None if all schemas are empty. + """ + for schema in schemas: + if not _is_empty_schema(schema): + return schema + return None + + def _apply_batch_format(given_batch_format: Optional[str]) -> str: if given_batch_format == "default": given_batch_format = DEFAULT_BATCH_FORMAT diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 2bbca500edcf..f39c5cd700c1 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -140,6 +140,8 @@ class ShuffleStrategy(str, enum.Enum): "RAY_DATA_ENABLE_PROGRESS_BAR_NAME_TRUNCATION", True ) +DEFAULT_ENFORCE_SCHEMAS = env_bool("RAY_DATA_ALLOW_ENFORCE_SCHEMAS", False) + DEFAULT_ENABLE_GET_OBJECT_LOCATIONS_FOR_METRICS = False @@ -537,6 +539,8 @@ class DataContext: downstream_capacity_backpressure_ratio: float = None downstream_capacity_backpressure_max_queued_bundles: int = None + enforce_schemas: bool = DEFAULT_ENFORCE_SCHEMAS + def __post_init__(self): # The additonal ray remote args that should be added to # the task-pool-based data tasks. diff --git a/python/ray/data/tests/test_deduping_schema.py b/python/ray/data/tests/test_deduping_schema.py index 651efaf86223..2574c7195161 100644 --- a/python/ray/data/tests/test_deduping_schema.py +++ b/python/ray/data/tests/test_deduping_schema.py @@ -7,7 +7,8 @@ from ray.data._internal.execution.streaming_executor_state import ( dedupe_schemas_with_validation, ) -from ray.data.block import Schema +from ray.data._internal.pandas_block import PandasBlockSchema +from ray.data.block import Schema, _is_empty_schema @pytest.mark.parametrize( @@ -15,6 +16,8 @@ [ pa.schema([pa.field("uuid", pa.string())]), # NOTE: diff from old_schema pa.schema([]), # Empty Schema + PandasBlockSchema(names=["col1"], types=[int]), + PandasBlockSchema(names=[], types=[]), None, # Null Schema ], ) @@ -23,6 +26,8 @@ [ pa.schema([pa.field("id", pa.int64())]), pa.schema([]), # Empty Schema + PandasBlockSchema(names=["col2"], types=[int]), + PandasBlockSchema(names=[], types=[]), None, # Null Schema ], ) @@ -33,10 +38,10 @@ def test_dedupe_schema_handle_empty( incoming_bundle = RefBundle([], owns_blocks=False, schema=incoming_schema) out_bundle, diverged = dedupe_schemas_with_validation( - old_schema, incoming_bundle, allow_divergent=False, warn=False + old_schema, incoming_bundle, enforce_schemas=False, warn=False ) - if old_schema is None or len(old_schema) == 0: + if _is_empty_schema(old_schema): # old_schema is invalid assert not diverged, (old_schema, incoming_schema) assert out_bundle.schema == incoming_schema, (old_schema, incoming_schema) @@ -47,25 +52,25 @@ def test_dedupe_schema_handle_empty( assert old_schema == out_bundle.schema, (old_schema, incoming_schema) -@pytest.mark.parametrize("allow_divergent", [False, True]) +@pytest.mark.parametrize("enforce_schemas", [False, True]) @pytest.mark.parametrize( "incoming_schema", [pa.schema([pa.field("uuid", pa.string())])] ) @pytest.mark.parametrize("old_schema", [pa.schema([pa.field("id", pa.int64())])]) def test_dedupe_schema_divergence( - allow_divergent: bool, + enforce_schemas: bool, old_schema: Optional["Schema"], incoming_schema: Optional["Schema"], ): incoming_bundle = RefBundle([], owns_blocks=False, schema=incoming_schema) out_bundle, diverged = dedupe_schemas_with_validation( - old_schema, incoming_bundle, allow_divergent=allow_divergent, warn=False + old_schema, incoming_bundle, enforce_schemas=enforce_schemas, warn=False ) assert diverged - if allow_divergent: + if enforce_schemas: assert out_bundle.schema == pa.schema(list(old_schema) + list(incoming_schema)) else: assert out_bundle.schema == old_schema diff --git a/python/ray/data/tests/test_unify_schemas_performance.py b/python/ray/data/tests/test_unify_schemas_performance.py new file mode 100644 index 000000000000..704f15de5167 --- /dev/null +++ b/python/ray/data/tests/test_unify_schemas_performance.py @@ -0,0 +1,140 @@ +import pyarrow as pa +import pytest + +from ray.data._internal.arrow_ops.transform_pyarrow import ( + unify_schemas, +) +from ray.data.extensions import ( + ArrowPythonObjectType, + ArrowTensorType, + ArrowVariableShapedTensorType, +) + + +# Schema factory functions - just return schemas +def _create_simple_schema(num_columns): + return pa.schema([(f"col_{i}", pa.int64()) for i in range(num_columns)]) + + +def _create_tensor_fixed_schema(num_columns): + return pa.schema( + [ + (f"tensor_{i}", ArrowTensorType((2, 2), pa.float32())) + for i in range(num_columns) + ] + ) + + +def _create_tensor_variable_schema(num_columns): + return pa.schema( + [ + (f"tensor_{i}", ArrowVariableShapedTensorType(pa.float32(), 2)) + for i in range(num_columns) + ] + ) + + +def _create_object_schema(num_columns): + return pa.schema( + [(f"obj_{i}", ArrowPythonObjectType()) for i in range(num_columns)] + ) + + +def _create_nested_struct_schema(num_columns): + fields = [] + for i in range(num_columns): + inner_struct = pa.struct( + [("x", pa.int32()), ("y", pa.string()), ("z", pa.float64())] + ) + fields.append((f"struct_{i}", inner_struct)) + return pa.schema(fields) + + +def _create_deep_nested_schema(num_columns): + fields = [] + for i in range(num_columns): + level4 = pa.struct([("data", pa.int32()), ("meta", pa.string())]) + level3 = pa.struct([("level4", level4), ("id3", pa.int64())]) + level2 = pa.struct([("level3", level3), ("id2", pa.int64())]) + level1 = pa.struct([("level2", level2), ("id1", pa.int64())]) + fields.append((f"deep_{i}", level1)) + return pa.schema(fields) + + +def _create_mixed_complex_schema(num_columns): + fields = [] + for i in range(num_columns): + field_type = i % 5 + if field_type == 0: + fields.append((f"col_{i}", pa.int64())) + elif field_type == 1: + fields.append((f"col_{i}", ArrowTensorType((3, 3), pa.int32()))) + elif field_type == 2: + fields.append((f"col_{i}", ArrowPythonObjectType())) + elif field_type == 3: + inner_struct = pa.struct([("a", pa.int32()), ("b", pa.string())]) + fields.append((f"col_{i}", inner_struct)) + else: + fields.append((f"col_{i}", pa.list_(pa.float64()))) + return pa.schema(fields) + + +@pytest.mark.parametrize("num_schemas", [10, 100]) +@pytest.mark.parametrize("num_columns", [10, 100, 1000, 5000]) +@pytest.mark.parametrize( + "schema_factory,expected_time_per_schema_per_column", + [ + (_create_simple_schema, 0.00001), + (_create_tensor_fixed_schema, 0.00005), + (_create_tensor_variable_schema, 0.00005), + (_create_object_schema, 0.00005), + (_create_nested_struct_schema, 0.0001), + (_create_deep_nested_schema, 0.0002), + (_create_mixed_complex_schema, 0.0002), + ], +) +def test_unify_schemas_equivalent_performance( + num_schemas, num_columns, schema_factory, expected_time_per_schema_per_column +): + """Stress test for unify_schemas when ALL schemas are equivalent (identical). + + This tests the fast path where all schemas are the same and should be optimized + to return quickly without expensive comparisons. + """ + import time + + # Create the base schema + base_schema = schema_factory(num_columns) + + # Create list of identical schemas + schemas = [base_schema] * num_schemas + + # Time the unification + start_time = time.time() + unified = unify_schemas(schemas) + elapsed_time = time.time() - start_time + + # Verify the result is correct (should be identical to base schema) + assert unified == base_schema + + # Performance assertions with scaling based on complexity + scale_factor = num_schemas * num_columns + max_allowed_time = expected_time_per_schema_per_column * scale_factor + buffer_factor = 2 + assert elapsed_time < buffer_factor * max_allowed_time, ( + f"unify_schemas took {elapsed_time:.4f}s for {num_schemas} identical " + f"{schema_factory.__name__} schemas with {num_columns} columns, " + f"should be < {max_allowed_time:.4f}s" + ) + + # Print timing info for large cases + if num_schemas >= 1000 or num_columns >= 100: + print( + f"\n{schema_factory.__name__}: {num_schemas} schemas x {num_columns} cols = {elapsed_time:.4f}s" + ) + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) From c5c0bf284a4e41dd98dbbbe024c4c92185aedcb5 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 12:39:46 -0500 Subject: [PATCH 0923/1566] [core] Remove `core_worker_server.h` from `core_worker_client` target (#56045) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/rpc/BUILD.bazel | 1 - 1 file changed, 1 deletion(-) diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 70d7a6cc97d2..a1bf901ab98f 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -241,7 +241,6 @@ ray_cc_library( hdrs = [ "worker/core_worker_client.h", "worker/core_worker_client_pool.h", - "worker/core_worker_server.h", ], deps = [ "//src/ray/common:id", From 9ac0074894e2195fd90823a2feb9cc8e196e3b36 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 28 Aug 2025 10:41:58 -0700 Subject: [PATCH 0924/1566] [serve] skip running soft-fail tests on premerge (#56034) they never blocks merging practically, and when they are flaky, their retries just make PR merging take longer time without any meaningful blocking. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/serve.rayci.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/serve.rayci.yml b/.buildkite/serve.rayci.yml index 6b45f68f4430..5a2f5a4c00f6 100644 --- a/.buildkite/serve.rayci.yml +++ b/.buildkite/serve.rayci.yml @@ -54,6 +54,7 @@ steps: tags: - serve - python + - skip-on-premerge instance_type: large soft_fail: true commands: @@ -68,6 +69,7 @@ steps: tags: - serve - python + - skip-on-premerge instance_type: large soft_fail: true commands: From 545428b32f6bab35ec7e7d29d2fe64f9251aaf69 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 12:44:30 -0500 Subject: [PATCH 0925/1566] [core] Split `gcs_actor_scheduler` out from `gcs_server_lib` (#56002) Same treatment as: https://github.com/ray-project/ray/pull/55955 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 32 +++++++++++++++++-- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 2 -- src/ray/gcs/gcs_server/tests/BUILD.bazel | 11 +++---- .../tests/gcs_actor_scheduler_mock_test.cc | 2 +- .../tests/gcs_actor_scheduler_test.cc | 20 +++++------- 5 files changed, 44 insertions(+), 23 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 5ce6e18de9e6..3a7b5dd42443 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -337,24 +337,52 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_actor_scheduler", + srcs = [ + "gcs_actor_scheduler.cc", + ], + hdrs = [ + "gcs_actor_scheduler.h", + ], + deps = [ + ":gcs_actor", + ":gcs_node_manager", + ":gcs_table_storage", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:node_manager_client", + "//src/ray/util:logging", + "//src/ray/util:time", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_googletest//:gtest", + ], +) + ray_cc_library( name = "gcs_server_lib", srcs = [ "gcs_actor_manager.cc", - "gcs_actor_scheduler.cc", "gcs_autoscaler_state_manager.cc", "gcs_placement_group_mgr.cc", "gcs_server.cc", ], hdrs = [ "gcs_actor_manager.h", - "gcs_actor_scheduler.h", "gcs_autoscaler_state_manager.h", "gcs_placement_group_mgr.h", "gcs_server.h", ], deps = [ ":gcs_actor", + ":gcs_actor_scheduler", ":gcs_function_manager", ":gcs_health_check_manager", ":gcs_init_data", diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index a970061bd243..9868f13cf08c 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -20,10 +20,8 @@ #include #include "ray/common/asio/asio_util.h" -#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" #include "ray/util/time.h" -#include "src/ray/protobuf/node_manager.pb.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index ced5b241df0e..0235d835391f 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -205,12 +205,10 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_function_manager", - "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/common:test_util", + "//src/ray/gcs/gcs_server:gcs_actor", + "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/gcs/gcs_server:gcs_resource_manager", - "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/gcs_server:gcs_table_storage", - "//src/ray/gcs/store_client", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", @@ -228,7 +226,8 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_util", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_actor", + "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index 8d04a3b18465..c5650fcf9671 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -23,7 +23,7 @@ #include "mock/ray/raylet_client/raylet_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_util.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/util/counter_map.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 9be76e0dd12b..0a6fd64244f4 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -26,10 +26,11 @@ #include "fakes/ray/rpc/worker/core_worker_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/common/test_util.h" +#include "ray/gcs/gcs_server/gcs_actor.h" +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/store_client/store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/counter_map.h" @@ -41,11 +42,6 @@ class MockedGcsActorScheduler : public gcs::GcsActorScheduler { public: using gcs::GcsActorScheduler::GcsActorScheduler; - void TryLeaseWorkerFromNodeAgain(std::shared_ptr actor, - std::shared_ptr node) { - DoRetryLeasingWorkerFromNode(std::move(actor), std::move(node)); - } - protected: void RetryLeasingWorkerFromNode(std::shared_ptr actor, std::shared_ptr node) override { @@ -69,7 +65,7 @@ class MockedGcsActorScheduler : public gcs::GcsActorScheduler { class FakeGcsActorTable : public gcs::GcsActorTable { public: // The store_client and io_context args are NOT used. - explicit FakeGcsActorTable(std::shared_ptr store_client) + explicit FakeGcsActorTable(std::shared_ptr store_client) : GcsActorTable(store_client) {} Status Put(const ActorID &key, @@ -81,7 +77,7 @@ class FakeGcsActorTable : public gcs::GcsActorTable { } private: - std::shared_ptr store_client_ = + std::shared_ptr store_client_ = std::make_shared(); }; @@ -208,7 +204,7 @@ class GcsActorSchedulerTest : public ::testing::Test { protected: std::unique_ptr io_context_; - std::shared_ptr store_client_; + std::shared_ptr store_client_; std::shared_ptr gcs_actor_table_; std::shared_ptr raylet_client_; std::shared_ptr worker_client_; @@ -702,7 +698,7 @@ TEST_F(GcsActorSchedulerTest, TestReleaseUnusedActorWorkers) { // When `GcsActorScheduler` receives the `ReleaseUnusedActorWorkers` reply, it will send // out the `RequestWorkerLease` request. ASSERT_TRUE(raylet_client_->ReplyReleaseUnusedActorWorkers()); - gcs_actor_scheduler_->TryLeaseWorkerFromNodeAgain(actor, node); + gcs_actor_scheduler_->DoRetryLeasingWorkerFromNode(actor, node); ASSERT_EQ(raylet_client_->num_workers_requested, 1); } @@ -1257,7 +1253,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestReleaseUnusedActorWorkersByGc // When `GcsActorScheduler` receives the `ReleaseUnusedActorWorkers` reply, it will send // out the `RequestWorkerLease` request. ASSERT_TRUE(raylet_client_->ReplyReleaseUnusedActorWorkers()); - gcs_actor_scheduler_->TryLeaseWorkerFromNodeAgain(actor, node); + gcs_actor_scheduler_->DoRetryLeasingWorkerFromNode(actor, node); ASSERT_EQ(raylet_client_->num_workers_requested, 1); } From d76a8e66c4cb7f3e37b5fb8443aedb7e31a27452 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 12:44:46 -0500 Subject: [PATCH 0926/1566] [core] Remove unused RPC macros (#56052) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/rpc/gcs/gcs_rpc_server.h | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 4175e6271bf3..dbbd1ddbf3a2 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -112,16 +112,6 @@ namespace rpc { #define ACTOR_INFO_SERVICE_RPC_HANDLER(HANDLER, MAX_ACTIVE_RPCS) \ RPC_SERVICE_HANDLER(ActorInfoGcsService, HANDLER, MAX_ACTIVE_RPCS) -#define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(MonitorGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -#define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(PlacementGroupInfoGcsService, \ HANDLER, \ From 951f71b25a801a71edb4e1f34ddd748d9c6d02b8 Mon Sep 17 00:00:00 2001 From: Mark Rossetti Date: Thu, 28 Aug 2025 11:41:38 -0700 Subject: [PATCH 0927/1566] [Core] [Windows] Ray cluster commands (up, attach, status, etc) updates to work on Windows (#54982) Signed-off-by: Mark Rossetti Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../ray/autoscaler/_private/command_runner.py | 122 ++++++++++++------ python/ray/autoscaler/_private/commands.py | 19 ++- python/ray/autoscaler/_private/util.py | 7 + 3 files changed, 104 insertions(+), 44 deletions(-) diff --git a/python/ray/autoscaler/_private/command_runner.py b/python/ray/autoscaler/_private/command_runner.py index 44ca7369efe3..55ffd5d9c838 100644 --- a/python/ray/autoscaler/_private/command_runner.py +++ b/python/ray/autoscaler/_private/command_runner.py @@ -133,13 +133,18 @@ def __init__(self, ssh_key, control_path=None, **kwargs): "ServerAliveCountMax": 3, } if control_path: - self.arg_dict.update( - { - "ControlMaster": "auto", - "ControlPath": "{}/%C".format(control_path), - "ControlPersist": "10s", - } - ) + if sys.platform == "win32": + # Don't set any control path options on Windows + pass + else: + self.arg_dict.update( + { + "ControlMaster": "auto", + "ControlPath": "{}/%C".format(control_path), + "ControlPersist": "10s", + } + ) + self.arg_dict.update(kwargs) def to_ssh_options_list(self, *, timeout=60): @@ -170,9 +175,13 @@ def __init__( ssh_control_hash = hashlib.sha1(cluster_name.encode()).hexdigest() ssh_user_hash = hashlib.sha1(getuser().encode()).hexdigest() - ssh_control_path = "/tmp/ray_ssh_{}/{}".format( - ssh_user_hash[:HASH_MAX_LENGTH], ssh_control_hash[:HASH_MAX_LENGTH] - ) + if sys.platform == "win32": + # Disable SSH control paths on Windows - currently using it cause socket errors + ssh_control_path = None + else: + ssh_control_path = "/tmp/ray_ssh_{}/{}".format( + ssh_user_hash[:HASH_MAX_LENGTH], ssh_control_hash[:HASH_MAX_LENGTH] + ) self.cluster_name = cluster_name self.log_prefix = log_prefix @@ -238,10 +247,11 @@ def _set_ssh_ip_if_required(self): # This should run before any SSH commands and therefore ensure that # the ControlPath directory exists, allowing SSH to maintain # persistent sessions later on. - try: - os.makedirs(self.ssh_control_path, mode=0o700, exist_ok=True) - except OSError as e: - cli_logger.warning("{}", str(e)) # todo: msg + if self.ssh_control_path is not None: + try: + os.makedirs(self.ssh_control_path, mode=0o700, exist_ok=True) + except OSError as e: + cli_logger.warning("{}", str(e)) # todo: msg def _run_helper( self, @@ -406,32 +416,48 @@ def run_rsync_up(self, source, target, options=None): self._set_ssh_ip_if_required() options = options or {} - command = ["rsync"] - command += [ - "--rsh", - subprocess.list2cmdline( - ["ssh"] + self.ssh_options.to_ssh_options_list(timeout=120) - ), - ] - command += ["-avz"] - command += self._create_rsync_filter_args(options=options) - command += [source, "{}@{}:{}".format(self.ssh_user, self.ssh_ip, target)] + # on windows use scp -r instead of rsync + if sys.platform == "win32": + # Use scp as fallback for Windows + command = ["scp", "-r"] + command += self.ssh_options.to_ssh_options_list(timeout=120) + command += [source, "{}@{}:{}".format(self.ssh_user, self.ssh_ip, target)] + else: + command = ["rsync"] + command += [ + "--rsh", + subprocess.list2cmdline( + ["ssh"] + self.ssh_options.to_ssh_options_list(timeout=120) + ), + ] + command += ["-avz"] + command += self._create_rsync_filter_args(options=options) + command += [source, "{}@{}:{}".format(self.ssh_user, self.ssh_ip, target)] + cli_logger.verbose("Running `{}`", cf.bold(" ".join(command))) self._run_helper(command, silent=is_rsync_silent()) def run_rsync_down(self, source, target, options=None): self._set_ssh_ip_if_required() - command = ["rsync"] - command += [ - "--rsh", - subprocess.list2cmdline( - ["ssh"] + self.ssh_options.to_ssh_options_list(timeout=120) - ), - ] - command += ["-avz"] - command += self._create_rsync_filter_args(options=options) - command += ["{}@{}:{}".format(self.ssh_user, self.ssh_ip, source), target] + # on Windows use scp -r instead of rsync + if sys.platform == "win32": + # Use scp as fallback for Windows + command = ["scp", "-r"] + command += self.ssh_options.to_ssh_options_list(timeout=120) + command += ["{}@{}:{}".format(self.ssh_user, self.ssh_ip, source), target] + else: + command = ["rsync"] + command += [ + "--rsh", + subprocess.list2cmdline( + ["ssh"] + self.ssh_options.to_ssh_options_list(timeout=120) + ), + ] + command += ["-avz"] + command += self._create_rsync_filter_args(options=options) + command += ["{}@{}:{}".format(self.ssh_user, self.ssh_ip, source), target] + cli_logger.verbose("Running `{}`", cf.bold(" ".join(command))) self._run_helper(command, silent=is_rsync_silent()) @@ -510,8 +536,13 @@ def run_rsync_up(self, source, target, options=None): self._get_docker_host_mount_location(self.ssh_command_runner.cluster_name), target.lstrip("/"), ) - host_mount_location = os.path.dirname(host_destination.rstrip("/")) + if sys.platform == "win32": + # fix paths if running on Windows + source = source.replace("\\", "/") + host_mount_location = host_mount_location.replace("\\", "/") + host_destination = host_destination.replace("\\", "/") + self.ssh_command_runner.run( f"mkdir -p {host_mount_location} && chown -R " f"{self.ssh_command_runner.ssh_user} {host_mount_location}", @@ -558,9 +589,11 @@ def run_rsync_down(self, source, target, options=None): source.lstrip("/"), ) host_mount_location = os.path.dirname(host_source.rstrip("/")) + # Convert Windows paths to Unix-style for remote commands + host_mount_location_unix = host_mount_location.replace("\\", "/") self.ssh_command_runner.run( - f"mkdir -p {host_mount_location} && chown -R " - f"{self.ssh_command_runner.ssh_user} {host_mount_location}", + f"mkdir -p {host_mount_location_unix} && chown -R " + f"{self.ssh_command_runner.ssh_user} {host_mount_location_unix}", silent=is_rsync_silent(), ) if source[-1] == "/": @@ -575,7 +608,9 @@ def run_rsync_down(self, source, target, options=None): self.docker_cmd, self.container_name, self._docker_expand_user(source), - host_source, + host_source.replace( + "\\", "/" + ), # Convert Windows paths to Unix-style for rsync ), silent=is_rsync_silent(), ) @@ -728,7 +763,6 @@ def run_init( "{} pull {}".format(self.docker_cmd, specific_image), run_env="host" ) else: - self.run( f"{self.docker_cmd} image inspect {specific_image} " "1> /dev/null 2>&1 || " @@ -750,9 +784,9 @@ def run_init( specific_image, cleaned_bind_mounts ) if requires_re_init: - self.run( - f"{self.docker_cmd} stop {self.container_name}", run_env="host" - ) + docker_stop_cmd = f"{self.docker_cmd} stop {self.container_name}" + logger.info("Executing Docker command: %s", docker_stop_cmd) + self.run(docker_stop_cmd, run_env="host") if (not container_running) or requires_re_init: if not sync_run_yet: @@ -821,7 +855,9 @@ def run_init( self.ssh_command_runner.cluster_name ), mount, - ), + ).replace( + "\\", "/" + ), # Convert Windows paths to Unix-style for rsync container=self.container_name, dst=self._docker_expand_user(mount), ) diff --git a/python/ray/autoscaler/_private/commands.py b/python/ray/autoscaler/_private/commands.py index 52f87f2e31a0..fa571a641b48 100644 --- a/python/ray/autoscaler/_private/commands.py +++ b/python/ray/autoscaler/_private/commands.py @@ -926,6 +926,18 @@ def get_or_create_head_node( ) cli_logger.newline() + # Clean up temporary config file if it was created + # Clean up temporary config file if it was created on Windows + if ( + sys.platform == "win32" + and not no_monitor_on_head + and "remote_config_file" in locals() + ): + try: + os.remove(remote_config_file.name) + except OSError: + pass # Ignore cleanup errors + def _should_create_new_head( head_node_id: Optional[str], @@ -1025,9 +1037,14 @@ def _set_up_config_for_head_node( remote_config = provider.prepare_for_head_node(remote_config) # Now inject the rewritten config and SSH key into the head node - remote_config_file = tempfile.NamedTemporaryFile("w", prefix="ray-bootstrap-") + is_windows = sys.platform == "win32" + remote_config_file = tempfile.NamedTemporaryFile( + "w", prefix="ray-bootstrap-", delete=not is_windows + ) remote_config_file.write(json.dumps(remote_config)) remote_config_file.flush() + if is_windows: + remote_config_file.close() # Close the file handle to ensure it's accessible config["file_mounts"].update( {"~/ray_bootstrap_config.yaml": remote_config_file.name} ) diff --git a/python/ray/autoscaler/_private/util.py b/python/ray/autoscaler/_private/util.py index 17d463304957..66a7e5a8b900 100644 --- a/python/ray/autoscaler/_private/util.py +++ b/python/ray/autoscaler/_private/util.py @@ -4,6 +4,7 @@ import json import logging import os +import sys import threading from dataclasses import dataclass from datetime import datetime @@ -193,6 +194,12 @@ def validate_config(config: Dict[str, Any]) -> None: "sum of `min_workers` of all the available node types." ) + if sys.platform == "win32" and config.get("file_mounts_sync_continuously", False): + raise ValueError( + "`file_mounts_sync_continuously` is not supported on Windows. " + "Please set this to False when running on Windows." + ) + def check_legacy_fields(config: Dict[str, Any]) -> None: """For use in providers that have completed the migration to From 9383e11aa30d5e94690c8922e7e902ac1625d27e Mon Sep 17 00:00:00 2001 From: Jialing He Date: Fri, 29 Aug 2025 02:43:16 +0800 Subject: [PATCH 0928/1566] [Core] Fixed the issue of RemoveActorNameFromRegistry being called repeatedly. (#54955) Signed-off-by: hejialing.hjl Co-authored-by: hejialing.hjl Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor.py | 59 +++++++++++++++++++ src/ray/gcs/gcs_server/gcs_actor_manager.cc | 1 - .../tests/gcs_actor_manager_test.cc | 18 ++++++ 3 files changed, 77 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index b1ff97c2a671..99197d8217e2 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -2,6 +2,7 @@ import random import sys import tempfile +import signal import numpy as np import pytest @@ -1676,5 +1677,63 @@ def method(self): assert result == "ok" +def test_get_actor_after_same_name_actor_dead(shutdown_only): + ACTOR_NAME = "test_actor" + NAMESPACE_NAME = "test_namespace" + + ray.init(namespace=NAMESPACE_NAME) + + @ray.remote + class Actor: + def get_pid(self): + return os.getpid() + + a = Actor.options(name=ACTOR_NAME, max_restarts=0, max_task_retries=-1).remote() + + pid = ray.get(a.get_pid.remote()) + os.kill(pid, signal.SIGKILL) + a_actor_id = a._actor_id.hex() + + wait_for_condition(lambda: ray.state.actors(a_actor_id)["State"] == "DEAD") + + # When a reference is held, the name cannot be reused. + with pytest.raises(ValueError): + Actor.options(name=ACTOR_NAME).remote() + + # Deleting the remaining reference so the name can be reused + del a + + b = None + + def wait_new_actor_ready(): + nonlocal b + b = Actor.options(name=ACTOR_NAME).remote() + return True + + wait_for_condition(wait_new_actor_ready) + + ray.get(b.__ray_ready__.remote()) + _ = ray.get_actor(ACTOR_NAME, namespace=NAMESPACE_NAME) + + # ray.kill can proactively release the name. + ray.kill(b) + wait_for_condition(lambda: ray.state.actors(b._actor_id.hex())["State"] == "DEAD") + + c = Actor.options(name=ACTOR_NAME, lifetime="detached").remote() + ray.get(c.__ray_ready__.remote()) + _ = ray.get_actor(ACTOR_NAME, namespace=NAMESPACE_NAME) + + pid = ray.get(c.get_pid.remote()) + os.kill(pid, signal.SIGKILL) + + wait_for_condition(lambda: ray.state.actors(c._actor_id.hex())["State"] == "DEAD") + + # Detached actors do not subscribe to reference counting, so + # they release the actor name when the actor is dead, without waiting for the reference count + # to be released or the execution of ray.kill. + d = Actor.options(name=ACTOR_NAME).remote() + ray.get(d.__ray_ready__.remote()) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 399dacf8b5b6..ddad4fe2d02f 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -1376,7 +1376,6 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, io_context_})); gcs_actor_scheduler_->Schedule(actor); } else { - RemoveActorNameFromRegistry(actor); actor->UpdateState(rpc::ActorTableData::DEAD); mutable_actor_table_data->mutable_death_cause()->CopyFrom(death_cause); auto time = current_sys_time_ms(); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 659c9a5c53e0..b05cabf4141b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -713,6 +713,24 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionWorkerFailure) { ASSERT_TRUE(absl::StrContains( actor->GetActorTableData().death_cause().actor_died_error_context().error_message(), "worker process has died.")); + ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, "test"), + actor->GetActorID()); + + // Detached actor has no reply of WaitForActorRefDeleted request. + ASSERT_FALSE(worker_client_->Reply()); + // Kill this detached actor + rpc::KillActorViaGcsReply reply; + rpc::KillActorViaGcsRequest request; + request.set_actor_id(actor->GetActorID().Binary()); + request.set_force_kill(true); + request.set_no_restart(true); + gcs_actor_manager_->HandleKillActorViaGcs( + request, + &reply, + /*send_reply_callback*/ + [](Status status, std::function success, std::function failure) {}); + io_service_.run_one(); + ASSERT_EQ(gcs_actor_manager_->GetActorIDByName(actor_name, "test"), ActorID::Nil()); // Create an actor with the same name. This ensures that the name has been properly From 875f0b8636e0377aeaf302036118f2ae55c2b260 Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Thu, 28 Aug 2025 11:53:33 -0700 Subject: [PATCH 0929/1566] [docs] Batch inference for embedding models in ray data (#56027) Signed-off-by: Douglas Strodtman --- doc/source/data/working-with-llms.rst | 58 +++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/doc/source/data/working-with-llms.rst b/doc/source/data/working-with-llms.rst index d9b052b03e83..cfd0c4bedf77 100644 --- a/doc/source/data/working-with-llms.rst +++ b/doc/source/data/working-with-llms.rst @@ -9,6 +9,7 @@ This guide shows you how to use :ref:`ray.data.llm ` to: * :ref:`Perform batch inference with LLMs ` * :ref:`Configure vLLM for LLM inference ` +* :ref:`Batch inference with embedding models ` * :ref:`Query deployed models with an OpenAI compatible API endpoint ` .. _batch_inference_llm: @@ -283,6 +284,63 @@ This example applies 2 adjustments on top of the previous example: vision_processed_ds = vision_processor(vision_dataset).materialize() vision_processed_ds.show(3) +.. _embedding_models: + +Batch inference with embedding models +--------------------------------------- + +Ray Data LLM supports batch inference with embedding models using vLLM: + +.. testcode:: + + import ray + from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor + + embedding_config = vLLMEngineProcessorConfig( + model_source="sentence-transformers/all-MiniLM-L6-v2", + task_type="embed", + engine_kwargs=dict( + enable_prefix_caching=False, + enable_chunked_prefill=False, + max_model_len=256, + enforce_eager=True, + ), + batch_size=32, + concurrency=1, + apply_chat_template=False, + detokenize=False, + ) + + embedding_processor = build_llm_processor( + embedding_config, + preprocess=lambda row: dict(prompt=row["text"]), + postprocess=lambda row: { + "text": row["prompt"], + "embedding": row["embeddings"], + }, + ) + + texts = [ + "Hello world", + "This is a test sentence", + "Embedding models convert text to vectors", + ] + ds = ray.data.from_items([{"text": text} for text in texts]) + + embedded_ds = embedding_processor(ds) + embedded_ds.show(limit=1) + +.. testoutput:: + :options: +MOCK + + {'text': 'Hello world', 'embedding': [0.1, -0.2, 0.3, ...]} + +Key differences for embedding models: + +- Set ``task_type="embed"`` +- Set ``apply_chat_template=False`` and ``detokenize=False`` +- Use direct ``prompt`` input instead of ``messages`` +- Access embeddings through``row["embeddings"]`` .. _openai_compatible_api_endpoint: From b7d0b1cfe9500b3cdcba36ff903b8560222aff1d Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Fri, 29 Aug 2025 00:37:17 +0530 Subject: [PATCH 0930/1566] [core] gcs AddEvent support (#55528) This is a series of PRs that connects each worker's EventAggregator to GCS, completing the OneEvent implementation for task events. For more details, see: https://docs.google.com/document/d/1WjdlKprMqLqyPvmR1OGRQNhCD93SWrCXj21jZXXUcSk/edit?tab=t.0#heading=h.mmmgp2sapmts. Test: - CI - build --------- Signed-off-by: sampan Signed-off-by: Sampan S Nayak Signed-off-by: Cuong Nguyen Co-authored-by: sampan Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/common/grpc_util.h | 7 + src/ray/core_worker/task_event_buffer.cc | 2 + src/ray/gcs/gcs_server/BUILD.bazel | 14 + .../gcs/gcs_server/gcs_ray_event_converter.cc | 239 ++++++++++ .../gcs/gcs_server/gcs_ray_event_converter.h | 107 +++++ src/ray/gcs/gcs_server/gcs_task_manager.cc | 20 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 9 + src/ray/gcs/gcs_server/tests/BUILD.bazel | 11 + .../tests/gcs_ray_event_converter_test.cc | 427 ++++++++++++++++++ .../gcs_server/tests/gcs_task_manager_test.cc | 85 ++++ src/ray/gcs/tests/gcs_test_util.h | 34 ++ .../public/events_task_execution_event.proto | 1 + 12 files changed, 952 insertions(+), 4 deletions(-) create mode 100644 src/ray/gcs/gcs_server/gcs_ray_event_converter.cc create mode 100644 src/ray/gcs/gcs_server/gcs_ray_event_converter.h create mode 100644 src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc diff --git a/src/ray/common/grpc_util.h b/src/ray/common/grpc_util.h index 458c5d17d3e8..ea48af266fce 100644 --- a/src/ray/common/grpc_util.h +++ b/src/ray/common/grpc_util.h @@ -243,4 +243,11 @@ inline google::protobuf::Timestamp AbslTimeNanosToProtoTimestamp(int64_t nanos) return timestamp; } +// Conver a protobuf timestamp to an epoch time in nanoseconds +// Ref: https://protobuf.dev/reference/php/api-docs/Google/Protobuf/Timestamp.html +inline int64_t ProtoTimestampToAbslTimeNanos( + const google::protobuf::Timestamp ×tamp) { + return timestamp.seconds() * 1000000000LL + timestamp.nanos(); +} + } // namespace ray diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index e3ead75ec489..9187764b2768 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -254,6 +254,8 @@ void TaskStatusEvent::PopulateRpcRayTaskExecutionEvent( if (state_update_->pid_.has_value()) { execution_event_data.set_worker_pid(state_update_->pid_.value()); } + + execution_event_data.set_job_id(job_id_.Binary()); } void TaskStatusEvent::PopulateRpcRayEventBaseFields( diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 3a7b5dd42443..50e782c6b17a 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -193,11 +193,25 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_ray_event_converter", + srcs = ["gcs_ray_event_converter.cc"], + hdrs = ["gcs_ray_event_converter.h"], + deps = [ + "//src/ray/common:grpc_util", + "//src/ray/common:id", + "//src/ray/protobuf:events_event_aggregator_service_cc_proto", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/util:logging", + ], +) + ray_cc_library( name = "gcs_task_manager", srcs = ["gcs_task_manager.cc"], hdrs = ["gcs_task_manager.h"], deps = [ + ":gcs_ray_event_converter", ":gcs_usage_stats_client", ":grpc_service_interfaces", "//src/ray/common:asio", diff --git a/src/ray/gcs/gcs_server/gcs_ray_event_converter.cc b/src/ray/gcs/gcs_server/gcs_ray_event_converter.cc new file mode 100644 index 000000000000..43b76e8e001f --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_ray_event_converter.cc @@ -0,0 +1,239 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" + +#include + +#include "absl/container/flat_hash_map.h" +#include "ray/common/grpc_util.h" +#include "ray/common/id.h" +#include "ray/util/logging.h" + +namespace ray { +namespace gcs { + +std::vector +GcsRayEventConverter::ConvertToTaskEventDataRequests( + rpc::events::AddEventsRequest &&request) { + std::vector requests_per_job_id; + absl::flat_hash_map job_id_to_index; + // convert RayEvents to TaskEvents and group by job id. + for (auto &event : *request.mutable_events_data()->mutable_events()) { + std::optional task_event = std::nullopt; + switch (event.event_type()) { + case rpc::events::RayEvent::TASK_DEFINITION_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_definition_event())); + break; + } + case rpc::events::RayEvent::TASK_EXECUTION_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_execution_event())); + break; + } + case rpc::events::RayEvent::TASK_PROFILE_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_profile_events())); + break; + } + case rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT: { + task_event = + ConvertToTaskEvents(std::move(*event.mutable_actor_task_definition_event())); + break; + } + default: + // TODO(can-anyscale): Handle other event types + break; + } + + // Groups all taskEvents belonging to same jobId into one AddTaskEventDataRequest + if (task_event) { + AddTaskEventToRequest(std::move(*task_event), requests_per_job_id, job_id_to_index); + } + } + + // Groups all taskEventMetadata belonging to same jobId into one + // AddTaskEventDataRequest + auto *metadata = request.mutable_events_data()->mutable_task_events_metadata(); + if (metadata->dropped_task_attempts_size() > 0) { + AddDroppedTaskAttemptsToRequest( + std::move(*metadata), requests_per_job_id, job_id_to_index); + } + return requests_per_job_id; +} + +void GcsRayEventConverter::AddTaskEventToRequest( + rpc::TaskEvents &&task_event, + std::vector &requests_per_job_id, + absl::flat_hash_map &job_id_to_index) { + const std::string job_id_key = task_event.job_id(); + auto it = job_id_to_index.find(job_id_key); + if (it == job_id_to_index.end()) { + // Create new AddTaskEventDataRequest entry and add index to map + size_t idx = requests_per_job_id.size(); + requests_per_job_id.emplace_back(); + auto *data = requests_per_job_id.back().mutable_data(); + data->set_job_id(job_id_key); + *data->add_events_by_task() = std::move(task_event); + job_id_to_index.emplace(job_id_key, idx); + } else { + // add taskEvent to existing AddTaskEventDataRequest with same job id + auto *data = requests_per_job_id[it->second].mutable_data(); + *data->add_events_by_task() = std::move(task_event); + } +} + +void GcsRayEventConverter::AddDroppedTaskAttemptsToRequest( + rpc::events::TaskEventsMetadata &&metadata, + std::vector &requests_per_job_id, + absl::flat_hash_map &job_id_to_index) { + // Process each dropped task attempt individually and route to the correct job ID + for (auto &dropped_attempt : *metadata.mutable_dropped_task_attempts()) { + const auto task_id = TaskID::FromBinary(dropped_attempt.task_id()); + const auto job_id_key = task_id.JobId().Binary(); + + auto it = job_id_to_index.find(job_id_key); + if (it == job_id_to_index.end()) { + // Create new request if job_id not found + size_t idx = requests_per_job_id.size(); + requests_per_job_id.emplace_back(); + auto *data = requests_per_job_id.back().mutable_data(); + data->set_job_id(job_id_key); + *data->add_dropped_task_attempts() = std::move(dropped_attempt); + job_id_to_index.emplace(job_id_key, idx); + } else { + // Add to existing request with same job_id + auto *data = requests_per_job_id[it->second].mutable_data(); + *data->add_dropped_task_attempts() = std::move(dropped_attempt); + } + } +} + +rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( + rpc::events::TaskDefinitionEvent &&event) { + rpc::TaskEvents task_event; + task_event.set_task_id(event.task_id()); + task_event.set_attempt_number(event.task_attempt()); + task_event.set_job_id(event.job_id()); + + rpc::TaskInfoEntry *task_info = task_event.mutable_task_info(); + task_info->set_type(event.task_type()); + task_info->set_name(event.task_name()); + task_info->set_task_id(event.task_id()); + task_info->set_job_id(event.job_id()); + task_info->set_parent_task_id(event.parent_task_id()); + if (!event.placement_group_id().empty()) { + task_info->set_placement_group_id(event.placement_group_id()); + } + + PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_runtime_env_info()), + std::move(*event.mutable_task_func()), + std::move(*event.mutable_required_resources()), + event.language(), + task_info); + return task_event; +} + +rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( + rpc::events::TaskExecutionEvent &&event) { + rpc::TaskEvents task_event; + task_event.set_task_id(event.task_id()); + task_event.set_attempt_number(event.task_attempt()); + task_event.set_job_id(event.job_id()); + + rpc::TaskStateUpdate *task_state_update = task_event.mutable_state_updates(); + task_state_update->set_node_id(event.node_id()); + task_state_update->set_worker_id(event.worker_id()); + task_state_update->set_worker_pid(event.worker_pid()); + task_state_update->mutable_error_info()->Swap(event.mutable_ray_error_info()); + + for (const auto &[state, timestamp] : event.task_state()) { + int64_t ns = ProtoTimestampToAbslTimeNanos(timestamp); + (*task_state_update->mutable_state_ts_ns())[state] = ns; + } + return task_event; +} + +rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( + rpc::events::ActorTaskDefinitionEvent &&event) { + rpc::TaskEvents task_event; + task_event.set_task_id(event.task_id()); + task_event.set_attempt_number(event.task_attempt()); + task_event.set_job_id(event.job_id()); + + rpc::TaskInfoEntry *task_info = task_event.mutable_task_info(); + task_info->set_type(rpc::TaskType::ACTOR_TASK); + task_info->set_name(event.actor_task_name()); + task_info->set_task_id(event.task_id()); + task_info->set_job_id(event.job_id()); + task_info->set_parent_task_id(event.parent_task_id()); + if (!event.placement_group_id().empty()) { + task_info->set_placement_group_id(event.placement_group_id()); + } + if (!event.actor_id().empty()) { + task_info->set_actor_id(event.actor_id()); + } + PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_runtime_env_info()), + std::move(*event.mutable_actor_func()), + std::move(*event.mutable_required_resources()), + event.language(), + task_info); + return task_event; +} + +rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( + rpc::events::TaskProfileEvents &&event) { + rpc::TaskEvents task_event; + task_event.set_task_id(event.task_id()); + task_event.set_attempt_number(event.attempt_number()); + task_event.set_job_id(event.job_id()); + + task_event.mutable_profile_events()->Swap(event.mutable_profile_events()); + return task_event; +} + +void GcsRayEventConverter::PopulateTaskRuntimeAndFunctionInfo( + rpc::RuntimeEnvInfo &&runtime_env_info, + rpc::FunctionDescriptor &&function_descriptor, + ::google::protobuf::Map &&required_resources, + rpc::Language language, + rpc::TaskInfoEntry *task_info) { + task_info->set_language(language); + task_info->mutable_runtime_env_info()->Swap(&runtime_env_info); + switch (language) { + case rpc::Language::CPP: + if (function_descriptor.has_cpp_function_descriptor()) { + task_info->set_func_or_class_name( + function_descriptor.cpp_function_descriptor().function_name()); + } + break; + case rpc::Language::PYTHON: + if (function_descriptor.has_python_function_descriptor()) { + task_info->set_func_or_class_name( + function_descriptor.python_function_descriptor().function_name()); + } + break; + case rpc::Language::JAVA: + if (function_descriptor.has_java_function_descriptor()) { + task_info->set_func_or_class_name( + function_descriptor.java_function_descriptor().function_name()); + } + break; + default: + // Other languages are not handled. + break; + } + task_info->mutable_required_resources()->swap(required_resources); +} + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_ray_event_converter.h b/src/ray/gcs/gcs_server/gcs_ray_event_converter.h new file mode 100644 index 000000000000..950d77c00dcb --- /dev/null +++ b/src/ray/gcs/gcs_server/gcs_ray_event_converter.h @@ -0,0 +1,107 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "absl/container/flat_hash_map.h" +#include "gtest/gtest_prod.h" +#include "src/ray/protobuf/events_event_aggregator_service.pb.h" +#include "src/ray/protobuf/gcs_service.pb.h" + +namespace ray { +namespace gcs { + +/// GcsRayEventConverter converts RayEvents to TaskEvents. +class GcsRayEventConverter { + public: + GcsRayEventConverter() = default; + ~GcsRayEventConverter() = default; + + /// Convert an AddEventsRequest to a list of AddTaskEventDataRequest objects, + /// grouping entries by job id. + /// + /// \param request The AddEventsRequest to convert. + /// \return A list of AddTaskEventDataRequest grouped by job id. + std::vector ConvertToTaskEventDataRequests( + rpc::events::AddEventsRequest &&request); + + private: + /// Convert a TaskDefinitionEvent to a TaskEvents. + /// + /// \param event The TaskDefinitionEvent to convert. + /// \return The output TaskEvents to populate. + rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskDefinitionEvent &&event); + + /// Convert ProfileEvents to a TaskEvents. + /// + /// \param event TaskProfileEvents object to convert. + /// \return The output TaskEvents to populate. + rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskProfileEvents &&event); + + /// Convert a TaskExecutionEvent to a TaskEvents. + /// + /// \param event The TaskExecutionEvent to convert. + /// \return The output TaskEvents to populate. + rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskExecutionEvent &&event); + + /// Convert an ActorTaskDefinitionEvent to a TaskEvents. + /// + /// \param event The ActorTaskDefinitionEvent to convert. + /// \return The output TaskEvents to populate. + rpc::TaskEvents ConvertToTaskEvents(rpc::events::ActorTaskDefinitionEvent &&event); + + /// Populate the TaskInfoEntry with the given runtime env info, function descriptor, + /// and required resources. This function is commonly used to convert the task + /// and actor task definition events to TaskEvents. + /// + /// \param runtime_env_info The runtime env info. + /// \param function_descriptor The function descriptor. + /// \param required_resources The required resources. + /// \param language The language of the task. + /// \param task_info The output TaskInfoEntry to populate. + void PopulateTaskRuntimeAndFunctionInfo( + rpc::RuntimeEnvInfo &&runtime_env_info, + rpc::FunctionDescriptor &&function_descriptor, + ::google::protobuf::Map &&required_resources, + rpc::Language language, + rpc::TaskInfoEntry *task_info); + + /// Add a task event to the appropriate job-grouped request. + /// + /// \param task_event The TaskEvents to add. + /// \param requests_per_job_id The list of requests grouped by job id. + /// \param job_id_to_index The map from job id to index in requests_per_job_id. + void AddTaskEventToRequest( + rpc::TaskEvents &&task_event, + std::vector &requests_per_job_id, + absl::flat_hash_map &job_id_to_index); + + /// Add dropped task attempts to the appropriate job-grouped request. + /// + /// \param metadata The task events metadata containing dropped task attempts. + /// \param requests_per_job_id The list of requests grouped by job id. + /// \param job_id_to_index The map from job id to index in requests_per_job_id. + void AddDroppedTaskAttemptsToRequest( + rpc::events::TaskEventsMetadata &&metadata, + std::vector &requests_per_job_id, + absl::flat_hash_map &job_id_to_index); + + FRIEND_TEST(GcsRayEventConverterTest, TestConvertTaskExecutionEvent); + FRIEND_TEST(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent); +}; + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.cc b/src/ray/gcs/gcs_server/gcs_task_manager.cc index 271f704322ac..bbea0fe45f37 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_task_manager.cc @@ -38,6 +38,7 @@ GcsTaskManager::GcsTaskManager(instrumented_io_context &io_service) RayConfig::instance().task_events_max_num_task_in_gcs(), stats_counter_, std::make_unique())), + ray_event_converter_(std::make_unique()), periodical_runner_(PeriodicalRunner::Create(io_service_)) { periodical_runner_->RunFnPeriodically([this] { task_event_storage_->GcJobSummary(); }, 5 * 1000, @@ -638,9 +639,7 @@ void GcsTaskManager::GcsTaskManagerStorage::RecordDataLossFromWorker( } } -void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request, - rpc::AddTaskEventDataReply *reply, - rpc::SendReplyCallback send_reply_callback) { +void GcsTaskManager::RecordTaskEventData(rpc::AddTaskEventDataRequest &request) { auto data = std::move(*request.mutable_data()); task_event_storage_->RecordDataLossFromWorker(data); @@ -648,6 +647,12 @@ void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request stats_counter_.Increment(kTotalNumTaskEventsReported); task_event_storage_->AddOrReplaceTaskEvent(std::move(events_by_task)); } +} + +void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request, + rpc::AddTaskEventDataReply *reply, + rpc::SendReplyCallback send_reply_callback) { + RecordTaskEventData(request); // Processed all the task events GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); @@ -656,7 +661,14 @@ void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request void GcsTaskManager::HandleAddEvents(rpc::events::AddEventsRequest request, rpc::events::AddEventsReply *reply, rpc::SendReplyCallback send_reply_callback) { - // TODO(can-anyscale): Implement this. + auto task_event_data_requests = + ray_event_converter_->ConvertToTaskEventDataRequests(std::move(request)); + + for (auto &task_event_data : task_event_data_requests) { + RecordTaskEventData(task_event_data); + } + + // Processed all the task events GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index d6e5686100c7..bb9c03e7fbc8 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -24,6 +24,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" +#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pb_util.h" @@ -472,6 +473,7 @@ class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, std::vector> task_events_list_; friend class GcsTaskManager; + FRIEND_TEST(GcsTaskManagerTest, TestHandleAddEventBasic); FRIEND_TEST(GcsTaskManagerTest, TestHandleAddTaskEventBasic); FRIEND_TEST(GcsTaskManagerTest, TestMergeTaskEventsSameTaskAttempt); FRIEND_TEST(GcsTaskManagerMemoryLimitedTest, TestLimitTaskEvents); @@ -482,6 +484,8 @@ class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, }; private: + void RecordTaskEventData(rpc::AddTaskEventDataRequest &request); + /// Record data loss from worker. /// /// TODO(rickyx): This will be updated to record task attempt loss properly. @@ -522,10 +526,15 @@ class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, // the io_service_thread_. Access to it is *not* thread safe. std::unique_ptr task_event_storage_; + // Converter for converting RayEvents to TaskEvents. + std::unique_ptr ray_event_converter_; + /// The runner to run function periodically. std::shared_ptr periodical_runner_; + FRIEND_TEST(GcsTaskManagerTest, TestHandleAddEventBasic); FRIEND_TEST(GcsTaskManagerTest, TestHandleAddTaskEventBasic); + FRIEND_TEST(GcsTaskManagerTest, TestHandleAddEventsMultiJobGrouping); FRIEND_TEST(GcsTaskManagerTest, TestMergeTaskEventsSameTaskAttempt); FRIEND_TEST(GcsTaskManagerMemoryLimitedTest, TestLimitTaskEvents); FRIEND_TEST(GcsTaskManagerMemoryLimitedTest, TestIndexNoLeak); diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 0235d835391f..d65aa6f83b35 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -424,3 +424,14 @@ ray_cc_test( "@com_google_googletest//:gtest", ], ) + +ray_cc_test( + name = "gcs_ray_event_converter_test", + size = "small", + srcs = ["gcs_ray_event_converter_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/gcs/gcs_server:gcs_ray_event_converter", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc b/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc new file mode 100644 index 000000000000..02738c4cce4c --- /dev/null +++ b/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc @@ -0,0 +1,427 @@ +// Copyright 2022 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" + +#include + +#include "gtest/gtest.h" +#include "ray/common/id.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/events_base_event.pb.h" +#include "src/ray/protobuf/events_event_aggregator_service.pb.h" +#include "src/ray/protobuf/gcs_service.pb.h" + +namespace ray { +namespace gcs { + +class GcsRayEventConverterTest : public ::testing::Test { + public: + GcsRayEventConverterTest() = default; +}; + +TEST_F(GcsRayEventConverterTest, TestConvertToTaskEventData) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Convert empty request + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Test empty request + EXPECT_EQ(task_event_data_requests.size(), 0); +} + +TEST_F(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Create a task definition event + auto *event = request.mutable_events_data()->add_events(); + event->set_event_id("test_event_id"); + event->set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + event->set_source_type(rpc::events::RayEvent::CORE_WORKER); + event->set_severity(rpc::events::RayEvent::INFO); + event->set_message("test message"); + + auto *task_def_event = event->mutable_task_definition_event(); + + task_def_event->set_task_type(rpc::TaskType::NORMAL_TASK); + task_def_event->set_language(rpc::Language::PYTHON); + task_def_event->mutable_task_func() + ->mutable_python_function_descriptor() + ->set_function_name("test_task_name"); + task_def_event->set_task_id("test_task_id"); + task_def_event->set_task_attempt(1); + task_def_event->set_job_id("test_job_id"); + task_def_event->set_task_name("test_task_name"); + + task_def_event->set_parent_task_id("parent_task_id"); + task_def_event->set_placement_group_id("pg_id"); + + // Add some required resources + (*task_def_event->mutable_required_resources())["CPU"] = 1.0; + (*task_def_event->mutable_required_resources())["memory"] = 1024.0; + + // Set runtime env info + auto *runtime_env = task_def_event->mutable_runtime_env_info(); + runtime_env->set_serialized_runtime_env("test_env"); + + // Convert + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Verify conversion + ASSERT_EQ(task_event_data_requests.size(), 1); + const auto &task_event_data = task_event_data_requests[0]; + EXPECT_EQ(task_event_data.data().events_by_task_size(), 1); + const auto &converted_task = task_event_data.data().events_by_task(0); + EXPECT_EQ(converted_task.task_id(), "test_task_id"); + EXPECT_EQ(converted_task.attempt_number(), 1); + EXPECT_EQ(converted_task.job_id(), "test_job_id"); + EXPECT_EQ(task_event_data.data().job_id(), "test_job_id"); + + // Verify task info + ASSERT_TRUE(converted_task.has_task_info()); + const auto &task_info = converted_task.task_info(); + EXPECT_EQ(task_info.name(), "test_task_name"); + EXPECT_EQ(task_info.type(), rpc::TaskType::NORMAL_TASK); + EXPECT_EQ(task_info.language(), rpc::Language::PYTHON); + EXPECT_EQ(task_info.func_or_class_name(), "test_task_name"); + EXPECT_EQ(task_info.runtime_env_info().serialized_runtime_env(), "test_env"); + EXPECT_EQ(task_info.parent_task_id(), "parent_task_id"); + EXPECT_EQ(task_info.placement_group_id(), "pg_id"); + + // Verify required resources + EXPECT_EQ(task_info.required_resources().at("CPU"), 1.0); + EXPECT_EQ(task_info.required_resources().at("memory"), 1024.0); +} + +TEST_F(GcsRayEventConverterTest, TestConvertWithDroppedTaskAttempts) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Create a proper TaskID for testing + const auto job_id = JobID::FromInt(100); + const auto driver_task_id = TaskID::ForDriverTask(job_id); + const auto test_task_id = TaskID::ForNormalTask(job_id, driver_task_id, 1); + const auto task_id_binary = test_task_id.Binary(); + + // Add dropped task attempts to metadata + auto *dropped_attempt = request.mutable_events_data() + ->mutable_task_events_metadata() + ->add_dropped_task_attempts(); + dropped_attempt->set_task_id(task_id_binary); + dropped_attempt->set_attempt_number(2); + + // Convert + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Verify dropped task attempts are copied + ASSERT_FALSE(task_event_data_requests.empty()); + EXPECT_EQ(task_event_data_requests[0].data().dropped_task_attempts_size(), 1); + const auto &converted_dropped = + task_event_data_requests[0].data().dropped_task_attempts(0); + EXPECT_EQ(converted_dropped.task_id(), task_id_binary); + EXPECT_EQ(converted_dropped.attempt_number(), 2); +} + +TEST_F(GcsRayEventConverterTest, TestMultipleJobIds) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Create events with different job IDs + const auto job_id_1 = JobID::FromInt(100); + const auto job_id_2 = JobID::FromInt(200); + + // Create first task event + auto *event1 = request.mutable_events_data()->add_events(); + event1->set_event_id("test_event_1"); + event1->set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + auto *task_def_event1 = event1->mutable_task_definition_event(); + task_def_event1->set_task_type(rpc::TaskType::NORMAL_TASK); + task_def_event1->set_language(rpc::Language::PYTHON); + task_def_event1->set_task_id("task_1"); + task_def_event1->set_job_id(job_id_1.Binary()); + task_def_event1->set_task_name("task_1_name"); + + // Create second task event with different job ID + auto *event2 = request.mutable_events_data()->add_events(); + event2->set_event_id("test_event_2"); + event2->set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + auto *task_def_event2 = event2->mutable_task_definition_event(); + task_def_event2->set_task_type(rpc::TaskType::NORMAL_TASK); + task_def_event2->set_language(rpc::Language::PYTHON); + task_def_event2->set_task_id("task_2"); + task_def_event2->set_job_id(job_id_2.Binary()); + task_def_event2->set_task_name("task_2_name"); + + // Add dropped task attempts for both job IDs + const auto driver_task_id_1 = TaskID::ForDriverTask(job_id_1); + const auto test_task_id_1 = TaskID::ForNormalTask(job_id_1, driver_task_id_1, 1); + + const auto driver_task_id_2 = TaskID::ForDriverTask(job_id_2); + const auto test_task_id_2 = TaskID::ForNormalTask(job_id_2, driver_task_id_2, 1); + + // Add dropped task attempt for job_id_1 + auto *dropped_attempt_1 = request.mutable_events_data() + ->mutable_task_events_metadata() + ->add_dropped_task_attempts(); + dropped_attempt_1->set_task_id(test_task_id_1.Binary()); + dropped_attempt_1->set_attempt_number(3); + + // Add dropped task attempt for job_id_2 + auto *dropped_attempt_2 = request.mutable_events_data() + ->mutable_task_events_metadata() + ->add_dropped_task_attempts(); + dropped_attempt_2->set_task_id(test_task_id_2.Binary()); + dropped_attempt_2->set_attempt_number(4); + + // Convert + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Verify that we get two separate requests (one for each job ID) + ASSERT_EQ(task_event_data_requests.size(), 2); + + // Check that each request has the correct job ID and dropped task attempts + bool found_job_1 = false, found_job_2 = false; + for (const auto &req : task_event_data_requests) { + if (req.data().job_id() == job_id_1.Binary()) { + found_job_1 = true; + EXPECT_EQ(req.data().events_by_task_size(), 1); + EXPECT_EQ(req.data().events_by_task(0).job_id(), job_id_1.Binary()); + + // Verify dropped task attempt for job_id_1 + EXPECT_EQ(req.data().dropped_task_attempts_size(), 1); + const auto &dropped = req.data().dropped_task_attempts(0); + EXPECT_EQ(dropped.task_id(), test_task_id_1.Binary()); + EXPECT_EQ(dropped.attempt_number(), 3); + } else if (req.data().job_id() == job_id_2.Binary()) { + found_job_2 = true; + EXPECT_EQ(req.data().events_by_task_size(), 1); + EXPECT_EQ(req.data().events_by_task(0).job_id(), job_id_2.Binary()); + + // Verify dropped task attempt for job_id_2 + EXPECT_EQ(req.data().dropped_task_attempts_size(), 1); + const auto &dropped = req.data().dropped_task_attempts(0); + EXPECT_EQ(dropped.task_id(), test_task_id_2.Binary()); + EXPECT_EQ(dropped.attempt_number(), 4); + } + } + EXPECT_TRUE(found_job_1); + EXPECT_TRUE(found_job_2); +} + +TEST_F(GcsRayEventConverterTest, TestSameJobIdGrouping) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Create multiple events with the same job ID + const auto job_id = JobID::FromInt(100); + + // Create first task event + auto *event1 = request.mutable_events_data()->add_events(); + event1->set_event_id("test_event_1"); + event1->set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + auto *task_def_event1 = event1->mutable_task_definition_event(); + task_def_event1->set_task_type(rpc::TaskType::NORMAL_TASK); + task_def_event1->set_language(rpc::Language::PYTHON); + task_def_event1->set_task_id("task_1"); + task_def_event1->set_job_id(job_id.Binary()); + task_def_event1->set_task_name("task_1_name"); + + // Create second task event with same job ID + auto *event2 = request.mutable_events_data()->add_events(); + event2->set_event_id("test_event_2"); + event2->set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + auto *task_def_event2 = event2->mutable_task_definition_event(); + task_def_event2->set_task_type(rpc::TaskType::NORMAL_TASK); + task_def_event2->set_language(rpc::Language::PYTHON); + task_def_event2->set_task_id("task_2"); + task_def_event2->set_job_id(job_id.Binary()); + task_def_event2->set_task_name("task_2_name"); + + // Convert + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Verify that we get one request with both events grouped together + ASSERT_EQ(task_event_data_requests.size(), 1); + EXPECT_EQ(task_event_data_requests[0].data().job_id(), job_id.Binary()); + EXPECT_EQ(task_event_data_requests[0].data().events_by_task_size(), 2); + + // Verify both tasks are present + const auto &events = task_event_data_requests[0].data().events_by_task(); + EXPECT_EQ(events[0].job_id(), job_id.Binary()); + EXPECT_EQ(events[1].job_id(), job_id.Binary()); +} + +TEST_F(GcsRayEventConverterTest, TestConvertTaskProfileEvents) { + rpc::events::AddEventsRequest request; + GcsRayEventConverter converter; + + // Create a task profile event + auto *event = request.mutable_events_data()->add_events(); + event->set_event_id("test_event_id"); + event->set_event_type(rpc::events::RayEvent::TASK_PROFILE_EVENT); + event->set_source_type(rpc::events::RayEvent::CORE_WORKER); + event->set_severity(rpc::events::RayEvent::INFO); + event->set_message("test message"); + + auto *task_profile_events = event->mutable_task_profile_events(); + task_profile_events->set_task_id("test_task_id"); + task_profile_events->set_attempt_number(1); + task_profile_events->set_job_id("test_job_id"); + + // Add a profile event + auto *profile_events = task_profile_events->mutable_profile_events(); + profile_events->set_component_id("test_component_id"); + profile_events->set_component_type("worker"); + profile_events->set_node_ip_address("test_address"); + + // add a profile event entry + auto *ProfileEventEntry = profile_events->add_events(); + ProfileEventEntry->set_start_time(123456789); + ProfileEventEntry->set_end_time(123456799); + ProfileEventEntry->set_extra_data("{\"foo\": \"bar\"}"); + ProfileEventEntry->set_event_name("test_event"); + + // Convert + auto task_event_data_requests = + converter.ConvertToTaskEventDataRequests(std::move(request)); + + // Verify conversion + EXPECT_EQ(task_event_data_requests.size(), 1); + auto task_event_data = task_event_data_requests[0]; + EXPECT_EQ(task_event_data.data().events_by_task_size(), 1); + const auto &converted_task = task_event_data.data().events_by_task(0); + + EXPECT_EQ(converted_task.task_id(), "test_task_id"); + EXPECT_EQ(converted_task.attempt_number(), 1); + EXPECT_EQ(converted_task.job_id(), "test_job_id"); + EXPECT_EQ(converted_task.profile_events().events_size(), 1); + EXPECT_EQ(task_event_data.data().job_id(), "test_job_id"); + + // Check profile event fields + EXPECT_TRUE(converted_task.has_profile_events()); + const auto &profile_event = converted_task.profile_events(); + EXPECT_EQ(profile_event.component_id(), "test_component_id"); + EXPECT_EQ(profile_event.component_type(), "worker"); + EXPECT_EQ(profile_event.node_ip_address(), "test_address"); + + // verify that there is one profile event entry and values match our expectations + EXPECT_TRUE(profile_event.events().size() == 1); + const auto &entry = profile_event.events(0); + EXPECT_EQ(entry.start_time(), 123456789); + EXPECT_EQ(entry.end_time(), 123456799); + EXPECT_EQ(entry.extra_data(), "{\"foo\": \"bar\"}"); + EXPECT_EQ(entry.event_name(), "test_event"); +} + +TEST_F(GcsRayEventConverterTest, TestConvertTaskExecutionEvent) { + GcsRayEventConverter converter; + rpc::events::TaskExecutionEvent exec_event; + + // Set basic fields + exec_event.set_task_id("test_task_id"); + exec_event.set_task_attempt(3); + exec_event.set_job_id("test_job_id"); + exec_event.set_node_id("test_node_id"); + exec_event.set_worker_id("test_worker_id"); + exec_event.set_worker_pid(1234); + + // Set a RayErrorInfo + exec_event.mutable_ray_error_info()->set_error_message("error"); + + google::protobuf::Timestamp ts; + ts.set_seconds(42); + ts.set_nanos(123456789); + (*exec_event.mutable_task_state())[rpc::TaskStatus::SUBMITTED_TO_WORKER] = ts; + + // Call the converter + rpc::TaskEvents task_event = converter.ConvertToTaskEvents(std::move(exec_event)); + + // Check basic fields + EXPECT_EQ(task_event.attempt_number(), 3); + EXPECT_EQ(task_event.job_id(), "test_job_id"); + EXPECT_TRUE(task_event.has_state_updates()); + const auto &state_updates = task_event.state_updates(); + EXPECT_EQ(state_updates.node_id(), "test_node_id"); + EXPECT_EQ(state_updates.worker_id(), "test_worker_id"); + EXPECT_EQ(state_updates.worker_pid(), 1234); + EXPECT_EQ(state_updates.error_info().error_message(), "error"); + + // Check state_ts_ns + ASSERT_EQ(state_updates.state_ts_ns().size(), 1); + int64_t expected_ns = 42 * 1000000000LL + 123456789; + EXPECT_EQ(state_updates.state_ts_ns().at(5), expected_ns); +} + +TEST_F(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent) { + GcsRayEventConverter converter; + rpc::events::ActorTaskDefinitionEvent actor_def_event; + + // Set basic fields + actor_def_event.set_task_id("test_actor_task_id"); + actor_def_event.set_task_attempt(2); + actor_def_event.set_job_id("test_job_id"); + actor_def_event.set_actor_task_name("test_actor_task"); + actor_def_event.set_language(rpc::Language::PYTHON); + actor_def_event.set_actor_id("actor-123"); + actor_def_event.set_parent_task_id("parent-actor-task"); + actor_def_event.set_placement_group_id("pg-actor"); + + // Set runtime env info + auto *runtime_env = actor_def_event.mutable_runtime_env_info(); + runtime_env->set_serialized_runtime_env("test_actor_env"); + + // Set actor function descriptor (Python) + auto *func_desc = actor_def_event.mutable_actor_func(); + auto *python_func = func_desc->mutable_python_function_descriptor(); + python_func->set_function_name("test_actor_function"); + python_func->set_class_name("TestActorClass"); + + // Add required resources + (*actor_def_event.mutable_required_resources())["CPU"] = 2.0; + (*actor_def_event.mutable_required_resources())["GPU"] = 1.0; + + // Call the converter + rpc::TaskEvents task_event = converter.ConvertToTaskEvents(std::move(actor_def_event)); + + // Check basic fields + EXPECT_EQ(task_event.task_id(), "test_actor_task_id"); + EXPECT_EQ(task_event.attempt_number(), 2); + EXPECT_EQ(task_event.job_id(), "test_job_id"); + + // Check task info + EXPECT_TRUE(task_event.has_task_info()); + const auto &task_info = task_event.task_info(); + EXPECT_EQ(task_info.type(), rpc::TaskType::ACTOR_TASK); + EXPECT_EQ(task_info.name(), "test_actor_task"); + EXPECT_EQ(task_info.language(), rpc::Language::PYTHON); + EXPECT_EQ(task_info.func_or_class_name(), "test_actor_function"); + EXPECT_EQ(task_info.runtime_env_info().serialized_runtime_env(), "test_actor_env"); + EXPECT_EQ(task_info.actor_id(), "actor-123"); + EXPECT_EQ(task_info.parent_task_id(), "parent-actor-task"); + EXPECT_EQ(task_info.placement_group_id(), "pg-actor"); + + // Check required resources + EXPECT_EQ(task_info.required_resources().at("CPU"), 2.0); + EXPECT_EQ(task_info.required_resources().at("GPU"), 1.0); +} + +} // namespace gcs +} // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc index efb4c30b9a49..099ceadfad98 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc @@ -146,6 +146,32 @@ class GcsTaskManagerTest : public ::testing::Test { return reply; } + rpc::events::AddEventsReply SyncAddEvents( + const rpc::events::RayEventsData &events_data) { + rpc::events::AddEventsRequest request; + rpc::events::AddEventsReply reply; + std::promise promise; + + request.mutable_events_data()->CopyFrom(events_data); + // Dispatch so that it runs in GcsTaskManager's io service. + io_context_->GetIoService().dispatch( + [this, &promise, &request, &reply]() { + task_manager->HandleAddEvents( + request, + &reply, + [&promise](Status, std::function, std::function) { + promise.set_value(true); + }); + }, + "SyncAddEvent"); + + promise.get_future().get(); + + // Assert on RPC reply. + EXPECT_EQ(StatusCode(reply.status().code()), StatusCode::OK); + return reply; + } + rpc::GetTaskEventsReply SyncGetTaskEvents( const std::vector task_ids, const std::vector task_id_predicates, @@ -401,6 +427,21 @@ class GcsTaskManagerDroppedTaskAttemptsLimit : public GcsTaskManagerTest { } }; +TEST_F(GcsTaskManagerTest, TestHandleAddEventBasic) { + size_t num_task_events = 100; + auto task_ids = GenTaskIDs(num_task_events); + auto events = GenTaskEvents(task_ids, 0); + auto events_data = Mocker::GenRayEventsData(events, {}); + auto reply = SyncAddEvents(events_data); + + // Assert on RPC reply. + EXPECT_EQ(StatusCode(reply.status().code()), StatusCode::OK); + + // Assert on actual data. + EXPECT_EQ(task_manager->task_event_storage_->GetTaskEvents().size(), num_task_events); + EXPECT_EQ(task_manager->GetTotalNumTaskEventsReported(), num_task_events); +} + TEST_F(GcsTaskManagerTest, TestHandleAddTaskEventBasic) { size_t num_task_events = 100; int32_t num_status_events_dropped = 10; @@ -425,6 +466,50 @@ TEST_F(GcsTaskManagerTest, TestHandleAddTaskEventBasic) { } } +TEST_F(GcsTaskManagerTest, TestHandleAddEventsMultiJobGrouping) { + // Prepare events for two jobs in a single AddEvents request + auto task_ids_job0 = GenTaskIDs(3); + auto task_ids_job1 = GenTaskIDs(2); + + auto events_job0 = GenTaskEvents(task_ids_job0, /*attempt_number*/ 0, /*job_id*/ 0); + auto events_job1 = GenTaskEvents(task_ids_job1, /*attempt_number*/ 0, /*job_id*/ 1); + + // Build RayEventsData including dropped attempts for each job + std::vector all_events; + all_events.insert(all_events.end(), events_job0.begin(), events_job0.end()); + all_events.insert(all_events.end(), events_job1.begin(), events_job1.end()); + + std::vector dropped_attempts; + dropped_attempts.emplace_back(GenTaskIDForJob(0), 0); + dropped_attempts.emplace_back(GenTaskIDForJob(1), 0); + + auto ray_events_data = Mocker::GenRayEventsData(all_events, dropped_attempts); + + // Send AddEvents once; converter should group by job id and GCS should record all + auto reply = SyncAddEvents(ray_events_data); + EXPECT_EQ(StatusCode(reply.status().code()), StatusCode::OK); + + // Verify all events stored + EXPECT_EQ(task_manager->task_event_storage_->GetTaskEvents().size(), + task_ids_job0.size() + task_ids_job1.size()); + + // Verify per-job data loss counters populated from dropped attempts + { + auto reply_job0 = SyncGetTaskEvents(/* task_ids */ {}, JobID::FromInt(0)); + EXPECT_EQ(reply_job0.num_status_task_events_dropped(), 1); + } + { + auto reply_job1 = SyncGetTaskEvents(/* task_ids */ {}, JobID::FromInt(1)); + EXPECT_EQ(reply_job1.num_status_task_events_dropped(), 1); + } + + // Verify global counters reflect both drops + { + auto reply_all = SyncGetTaskEvents(/* task_ids */ {}); + EXPECT_EQ(reply_all.num_status_task_events_dropped(), 2); + } +} + TEST_F(GcsTaskManagerTest, TestMergeTaskEventsSameTaskAttempt) { size_t num_task_events = 20; // Same task id and attempt diff --git a/src/ray/gcs/tests/gcs_test_util.h b/src/ray/gcs/tests/gcs_test_util.h index 0d27f047190c..d820eae87261 100644 --- a/src/ray/gcs/tests/gcs_test_util.h +++ b/src/ray/gcs/tests/gcs_test_util.h @@ -308,6 +308,40 @@ struct Mocker { return data; } + static rpc::events::RayEventsData GenRayEventsData( + const std::vector &task_events, + const std::vector &drop_tasks) { + rpc::events::RayEventsData data; + rpc::events::TaskEventsMetadata metadata; + for (const auto &task_attempt : drop_tasks) { + rpc::TaskAttempt rpc_task_attempt; + rpc_task_attempt.set_task_id(task_attempt.first.Binary()); + rpc_task_attempt.set_attempt_number(task_attempt.second); + *(metadata.add_dropped_task_attempts()) = rpc_task_attempt; + } + data.mutable_task_events_metadata()->CopyFrom(metadata); + for (const auto &task_event : task_events) { + rpc::events::RayEvent ray_event; + rpc::events::TaskDefinitionEvent task_definition_event; + task_definition_event.set_task_id(task_event.task_id()); + task_definition_event.set_task_attempt(task_event.attempt_number()); + task_definition_event.set_job_id(task_event.job_id()); + if (task_event.has_task_info()) { + const auto &task_info = task_event.task_info(); + task_definition_event.set_task_type(task_info.type()); + task_definition_event.set_task_name(task_info.name()); + task_definition_event.set_language(task_info.language()); + } + ray_event.set_event_id(task_event.task_id()); + ray_event.set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + ray_event.set_message("test"); + ray_event.mutable_task_definition_event()->CopyFrom(task_definition_event); + *(data.add_events()) = ray_event; + } + + return data; + } + static rpc::TaskEventData GenTaskEventsDataLoss( const std::vector &drop_tasks, int job_id = 0) { rpc::TaskEventData data; diff --git a/src/ray/protobuf/public/events_task_execution_event.proto b/src/ray/protobuf/public/events_task_execution_event.proto index 49e3ee37d569..51724605fb7b 100644 --- a/src/ray/protobuf/public/events_task_execution_event.proto +++ b/src/ray/protobuf/public/events_task_execution_event.proto @@ -39,4 +39,5 @@ message TaskExecutionEvent { bytes node_id = 5; bytes worker_id = 6; int32 worker_pid = 7; + bytes job_id = 8; } From 379b8b7a2e04e316a9fc12889b2030f9327ceff6 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 14:24:56 -0500 Subject: [PATCH 0931/1566] [core] Split `gcs_placement_group_manager` out from `gcs_server_lib` (#56048) Also renamed it for consistency. I think previously this was an issue due to the test path length being too long on Windows, but I mitigated that recently. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../ray/gcs/gcs_server/gcs_actor_manager.h | 13 +- .../ray/gcs/gcs_server/gcs_actor_scheduler.h | 6 + src/mock/ray/gcs/gcs_server/gcs_init_data.h | 23 --- src/mock/ray/gcs/gcs_server/gcs_job_manager.h | 6 + src/mock/ray/gcs/gcs_server/gcs_kv_manager.h | 7 +- .../ray/gcs/gcs_server/gcs_node_manager.h | 3 +- ...up_mgr.h => gcs_placement_group_manager.h} | 11 +- .../gcs_placement_group_scheduler.h | 6 + .../ray/gcs/gcs_server/gcs_resource_manager.h | 6 + src/mock/ray/gcs/gcs_server/gcs_server.h | 33 ---- .../ray/gcs/gcs_server/gcs_table_storage.h | 154 ------------------ .../ray/gcs/gcs_server/gcs_task_manager.h | 6 + .../ray/gcs/gcs_server/gcs_worker_manager.h | 6 + src/ray/gcs/gcs_server/BUILD.bazel | 30 +++- .../gcs_autoscaler_state_manager.cc | 2 +- ..._mgr.cc => gcs_placement_group_manager.cc} | 2 +- ...up_mgr.h => gcs_placement_group_manager.h} | 6 +- src/ray/gcs/gcs_server/gcs_server.cc | 8 +- .../gcs/gcs_server/grpc_service_interfaces.h | 30 ++++ src/ray/gcs/gcs_server/grpc_services.cc | 19 +++ src/ray/gcs/gcs_server/grpc_services.h | 23 +++ src/ray/gcs/gcs_server/tests/BUILD.bazel | 12 +- .../gcs_autoscaler_state_manager_test.cc | 2 +- ... gcs_placement_group_manager_mock_test.cc} | 15 +- ...cc => gcs_placement_group_manager_test.cc} | 2 +- src/ray/rpc/gcs/gcs_rpc_server.h | 74 +-------- 26 files changed, 177 insertions(+), 328 deletions(-) delete mode 100644 src/mock/ray/gcs/gcs_server/gcs_init_data.h rename src/mock/ray/gcs/gcs_server/{gcs_placement_group_mgr.h => gcs_placement_group_manager.h} (93%) delete mode 100644 src/mock/ray/gcs/gcs_server/gcs_server.h delete mode 100644 src/mock/ray/gcs/gcs_server/gcs_table_storage.h rename src/ray/gcs/gcs_server/{gcs_placement_group_mgr.cc => gcs_placement_group_manager.cc} (99%) rename src/ray/gcs/gcs_server/{gcs_placement_group_mgr.h => gcs_placement_group_manager.h} (98%) rename src/ray/gcs/gcs_server/tests/{gcs_placement_group_mgr_mock_test.cc => gcs_placement_group_manager_mock_test.cc} (97%) rename src/ray/gcs/gcs_server/tests/{gcs_placement_group_mgr_test.cc => gcs_placement_group_manager_test.cc} (99%) diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h b/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h index 7799fd7a9c01..b3984e0c36c1 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h @@ -14,18 +14,9 @@ #pragma once -#include "gmock/gmock.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" - -namespace ray { -namespace gcs { - -class MockGcsActor : public GcsActor { - public: -}; +#include -} // namespace gcs -} // namespace ray +#include "ray/gcs/gcs_server/gcs_actor_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h index 2715c57849eb..164be134d22b 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -12,6 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" + namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_init_data.h b/src/mock/ray/gcs/gcs_server/gcs_init_data.h deleted file mode 100644 index e784243ca5af..000000000000 --- a/src/mock/ray/gcs/gcs_server/gcs_init_data.h +++ /dev/null @@ -1,23 +0,0 @@ -// Copyright The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -namespace ray { -namespace gcs { - -class MockGcsInitData : public GcsInitData { - public: -}; - -} // namespace gcs -} // namespace ray diff --git a/src/mock/ray/gcs/gcs_server/gcs_job_manager.h b/src/mock/ray/gcs/gcs_server/gcs_job_manager.h index 9b3b2ca2d1f2..9228c063e4f3 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_job_manager.h @@ -12,6 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + +#include "ray/gcs/gcs_server/gcs_job_manager.h" + namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h b/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h index 9004ffe59785..5a5a224e0199 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h @@ -12,13 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "gmock/gmock.h" +#pragma once + +#include + #include "ray/gcs/gcs_server/gcs_kv_manager.h" namespace ray { namespace gcs { -class MockInternalKVInterface : public ray::gcs::InternalKVInterface { +class MockInternalKVInterface : public InternalKVInterface { public: MockInternalKVInterface() {} diff --git a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h b/src/mock/ray/gcs/gcs_server/gcs_node_manager.h index 919324cb0996..67161c0a6456 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_node_manager.h @@ -14,7 +14,8 @@ #pragma once -#include "gmock/gmock.h" +#include + #include "ray/gcs/gcs_server/gcs_node_manager.h" namespace ray { diff --git a/src/mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h similarity index 93% rename from src/mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h rename to src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h index 97d02a932d94..433bc132bddb 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h @@ -11,17 +11,12 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" -namespace ray { -namespace gcs { +#pragma once -class MockGcsPlacementGroup : public GcsPlacementGroup { - public: -}; +#include -} // namespace gcs -} // namespace ray +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index a0d6f84d1663..e35bcd45940b 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -12,6 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + +#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" + namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h b/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h index eba879e1ad00..a3865ab02968 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h @@ -12,10 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + #include "ray/common/asio/instrumented_io_context.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" namespace ray { namespace gcs { + static instrumented_io_context __mock_io_context_; static ClusterResourceManager __mock_cluster_resource_manager_(__mock_io_context_); static GcsNodeManager __mock_gcs_node_manager_( diff --git a/src/mock/ray/gcs/gcs_server/gcs_server.h b/src/mock/ray/gcs/gcs_server/gcs_server.h deleted file mode 100644 index 8c80774b4078..000000000000 --- a/src/mock/ray/gcs/gcs_server/gcs_server.h +++ /dev/null @@ -1,33 +0,0 @@ -// Copyright The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -namespace ray { -namespace gcs { - -class MockGcsServerConfig : public GcsServerConfig { - public: -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsServer : public GcsServer { - public: -}; - -} // namespace gcs -} // namespace ray diff --git a/src/mock/ray/gcs/gcs_server/gcs_table_storage.h b/src/mock/ray/gcs/gcs_server/gcs_table_storage.h deleted file mode 100644 index 4b229784b8cb..000000000000 --- a/src/mock/ray/gcs/gcs_server/gcs_table_storage.h +++ /dev/null @@ -1,154 +0,0 @@ -// Copyright The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -namespace ray { -namespace gcs { - -template -class MockGcsTable : public GcsTable { - public: - MOCK_METHOD(Status, - Put, - (const Key &key, const Data &value, const StatusCallback &callback), - (override)); - MOCK_METHOD(Status, - Delete, - (const Key &key, const StatusCallback &callback), - (override)); - MOCK_METHOD(Status, - BatchDelete, - (const std::vector &keys, const StatusCallback &callback), - (override)); -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -template -class MockGcsTableWithJobId : public GcsTableWithJobId { - public: - MOCK_METHOD(Status, - Put, - (const Key &key, const Data &value, const StatusCallback &callback), - (override)); - MOCK_METHOD(Status, - Delete, - (const Key &key, const StatusCallback &callback), - (override)); - MOCK_METHOD(Status, - BatchDelete, - (const std::vector &keys, const StatusCallback &callback), - (override)); - MOCK_METHOD(JobID, GetJobIdFromKey, (const Key &key), (override)); -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsJobTable : public GcsJobTable { - public: -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsActorTable : public GcsActorTable { - public: - MockGcsActorTable() : GcsActorTable(nullptr) {} - - MOCK_METHOD(JobID, GetJobIdFromKey, (const ActorID &key), (override)); -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsPlacementGroupTable : public GcsPlacementGroupTable { - public: -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsNodeTable : public GcsNodeTable { - public: - MockGcsNodeTable() : GcsNodeTable(nullptr){}; - - MOCK_METHOD(Status, - Put, - (const NodeID &key, - const GcsNodeInfo &value, - const StatusCallback &callback), - (override)); -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsWorkerTable : public GcsWorkerTable { - public: -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockGcsTableStorage : public GcsTableStorage { - public: - MockGcsTableStorage() : GcsTableStorage(nullptr) {} - - MOCK_METHOD((GcsNodeTable &), NodeTable, (), (override)); -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockRedisGcsTableStorage : public RedisGcsTableStorage { - public: -}; - -} // namespace gcs -} // namespace ray - -namespace ray { -namespace gcs { - -class MockInMemoryGcsTableStorage : public InMemoryGcsTableStorage { - public: -}; - -} // namespace gcs -} // namespace ray diff --git a/src/mock/ray/gcs/gcs_server/gcs_task_manager.h b/src/mock/ray/gcs/gcs_server/gcs_task_manager.h index 67601dfd56a7..e3c8222a01d4 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_task_manager.h @@ -12,6 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + +#include "ray/gcs/gcs_server/gcs_task_manager.h" + namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h b/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h index 7e993fc4814a..deb459f53a65 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h @@ -12,6 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#pragma once + +#include + +#include "ray/gcs/gcs_server/gcs_worker_manager.h" + namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 50e782c6b17a..d8791b891079 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -266,13 +266,11 @@ ray_cc_library( name = "gcs_placement_group", srcs = ["gcs_placement_group.cc"], hdrs = ["gcs_placement_group.h"], - implementation_deps = [ - "//src/ray/stats:stats_lib", - ], deps = [ "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", "//src/ray/util:time", ], @@ -299,6 +297,29 @@ ray_cc_library( ], ) +ray_cc_library( + name = "gcs_placement_group_manager", + srcs = ["gcs_placement_group_manager.cc"], + hdrs = ["gcs_placement_group_manager.h"], + deps = [ + ":gcs_init_data", + ":gcs_node_manager", + ":gcs_placement_group", + ":gcs_placement_group_scheduler", + ":gcs_resource_manager", + ":gcs_table_storage", + ":gcs_usage_stats_client", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/common:task_common", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/util:counter_map", + "//src/ray/util:exponential_backoff", + "//src/ray/util:time", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + ray_cc_library( name = "grpc_service_interfaces", hdrs = [ @@ -385,13 +406,11 @@ ray_cc_library( srcs = [ "gcs_actor_manager.cc", "gcs_autoscaler_state_manager.cc", - "gcs_placement_group_mgr.cc", "gcs_server.cc", ], hdrs = [ "gcs_actor_manager.h", "gcs_autoscaler_state_manager.h", - "gcs_placement_group_mgr.h", "gcs_server.h", ], deps = [ @@ -404,6 +423,7 @@ ray_cc_library( ":gcs_kv_manager", ":gcs_node_manager", ":gcs_placement_group", + ":gcs_placement_group_manager", ":gcs_placement_group_scheduler", ":gcs_pubsub_handler", ":gcs_resource_manager", diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index c6de00a352f6..706c3ab6cdba 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -21,7 +21,7 @@ #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pb_util.h" #include "ray/util/string_utils.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc rename to src/ray/gcs/gcs_server/gcs_placement_group_manager.cc index 9c4007df4a8e..c213394b923d 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h b/src/ray/gcs/gcs_server/gcs_placement_group_manager.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_placement_group_mgr.h rename to src/ray/gcs/gcs_server/gcs_placement_group_manager.h index 3ee4264d42df..24130ccc7df0 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_mgr.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.h @@ -33,10 +33,8 @@ #include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/util/counter_map.h" #include "ray/util/exponential_backoff.h" #include "ray/util/time.h" @@ -52,7 +50,7 @@ namespace gcs { /// the head of the queue and schedule it. If schedule success, using the /// SchedulePendingPlacementGroups() Immediately. else wait for a short time beforw using /// SchedulePendingPlacementGroups() next time. -class GcsPlacementGroupManager : public rpc::PlacementGroupInfoHandler { +class GcsPlacementGroupManager : public rpc::PlacementGroupInfoGcsServiceHandler { public: /// Create a GcsPlacementGroupManager /// diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 9648b6082ed5..be8a25d3b2f3 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -26,7 +26,7 @@ #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" #include "ray/gcs/gcs_server/gcs_job_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_worker_manager.h" #include "ray/gcs/gcs_server/grpc_services.h" @@ -522,10 +522,12 @@ void GcsServer::InitGcsPlacementGroupManager(const GcsInitData &gcs_init_data) { [this](const JobID &job_id) { return gcs_job_manager_->GetJobConfig(job_id)->ray_namespace(); }); - // Initialize by gcs tables data. + gcs_placement_group_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_placement_group_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_placement_group_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } GcsServer::StorageType GcsServer::GetStorageType() const { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 0c8d68bc7aad..1ce4129ca697 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -227,5 +227,35 @@ class RayEventExportGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +class PlacementGroupInfoGcsServiceHandler { + public: + virtual ~PlacementGroupInfoGcsServiceHandler() = default; + + virtual void HandleCreatePlacementGroup(CreatePlacementGroupRequest request, + CreatePlacementGroupReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRemovePlacementGroup(RemovePlacementGroupRequest request, + RemovePlacementGroupReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetPlacementGroup(GetPlacementGroupRequest request, + GetPlacementGroupReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllPlacementGroup(GetAllPlacementGroupRequest request, + GetAllPlacementGroupReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleWaitPlacementGroupUntilReady( + WaitPlacementGroupUntilReadyRequest request, + WaitPlacementGroupUntilReadyReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetNamedPlacementGroup(GetNamedPlacementGroupRequest request, + GetNamedPlacementGroupReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index cf6fad71f43b..4e63a85a4e12 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -132,5 +132,24 @@ void RayEventExportGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(RayEventExportGcsService, AddEvents, max_active_rpcs_per_handler_) } +void PlacementGroupInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER( + PlacementGroupInfoGcsService, CreatePlacementGroup, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + PlacementGroupInfoGcsService, RemovePlacementGroup, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + PlacementGroupInfoGcsService, GetPlacementGroup, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + PlacementGroupInfoGcsService, GetNamedPlacementGroup, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + PlacementGroupInfoGcsService, GetAllPlacementGroup, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(PlacementGroupInfoGcsService, + WaitPlacementGroupUntilReady, + max_active_rpcs_per_handler_) +} + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index a4faaf4bf453..8108dc3760ce 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -242,5 +242,28 @@ class RayEventExportGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; +class PlacementGroupInfoGrpcService : public GrpcService { + public: + explicit PlacementGroupInfoGrpcService(instrumented_io_context &io_service, + PlacementGroupInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + PlacementGroupInfoGcsService::AsyncService service_; + PlacementGroupInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index d65aa6f83b35..51a7dde30e5b 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -12,15 +12,15 @@ ray_cc_test( ) ray_cc_test( - name = "gcs_placement_group_mgr_mock_test", + name = "gcs_placement_group_manager_mock_test", size = "small", srcs = [ - "gcs_placement_group_mgr_mock_test.cc", + "gcs_placement_group_manager_mock_test.cc", ], tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_placement_group_manager", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", @@ -148,10 +148,10 @@ ray_cc_test( ) ray_cc_test( - name = "gcs_placement_group_mgr_test", + name = "gcs_placement_group_manager_test", size = "small", srcs = [ - "gcs_placement_group_mgr_test.cc", + "gcs_placement_group_manager_test.cc", ], tags = [ "no_tsan", @@ -160,7 +160,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_placement_group_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 0149b081b648..5cb34e043dfa 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -27,7 +27,7 @@ #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "mock/ray/gcs/gcs_server/gcs_placement_group_manager.h" #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc similarity index 97% rename from src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc index 643d4f454112..07caca6d2a56 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc @@ -12,21 +12,20 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include +#include + #include #include -// clang-format off -#include "gtest/gtest.h" -#include "gmock/gmock.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" -#include "ray/raylet/scheduling/cluster_resource_manager.h" + #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_placement_group_mgr.h" #include "mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "mock/ray/gcs/gcs_server/gcs_resource_manager.h" #include "mock/ray/gcs/store_client/store_client.h" -#include "ray/util/counter_map.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include "ray/gcs/tests/gcs_test_util.h" -// clang-format on +#include "ray/raylet/scheduling/cluster_resource_manager.h" +#include "ray/util/counter_map.h" using namespace ::testing; // NOLINT using namespace ray; // NOLINT diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc rename to src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc index 359814b61514..15876316cac2 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_mgr_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index dbbd1ddbf3a2..2750b945c35a 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -112,9 +112,14 @@ namespace rpc { #define ACTOR_INFO_SERVICE_RPC_HANDLER(HANDLER, MAX_ACTIVE_RPCS) \ RPC_SERVICE_HANDLER(ActorInfoGcsService, HANDLER, MAX_ACTIVE_RPCS) -#define PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(PlacementGroupInfoGcsService, \ - HANDLER, \ +#define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(MonitorGcsService, \ + HANDLER, \ + RayConfig::instance().gcs_max_active_rpcs_per_handler()) + +#define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ + HANDLER, \ RayConfig::instance().gcs_max_active_rpcs_per_handler()) #define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ @@ -209,70 +214,7 @@ class ActorInfoGrpcService : public GrpcService { ActorInfoGcsServiceHandler &service_handler_; }; -class PlacementGroupInfoGcsServiceHandler { - public: - virtual ~PlacementGroupInfoGcsServiceHandler() = default; - - virtual void HandleCreatePlacementGroup(CreatePlacementGroupRequest request, - CreatePlacementGroupReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleRemovePlacementGroup(RemovePlacementGroupRequest request, - RemovePlacementGroupReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetPlacementGroup(GetPlacementGroupRequest request, - GetPlacementGroupReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllPlacementGroup(GetAllPlacementGroupRequest request, - GetAllPlacementGroupReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleWaitPlacementGroupUntilReady( - WaitPlacementGroupUntilReadyRequest request, - WaitPlacementGroupUntilReadyReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetNamedPlacementGroup(GetNamedPlacementGroupRequest request, - GetNamedPlacementGroupReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `PlacementGroupInfoGcsService`. -class PlacementGroupInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit PlacementGroupInfoGrpcService(instrumented_io_context &io_service, - PlacementGroupInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(CreatePlacementGroup); - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(RemovePlacementGroup); - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(GetPlacementGroup); - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(GetNamedPlacementGroup); - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(GetAllPlacementGroup); - PLACEMENT_GROUP_INFO_SERVICE_RPC_HANDLER(WaitPlacementGroupUntilReady); - } - - private: - /// The grpc async service object. - PlacementGroupInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - PlacementGroupInfoGcsServiceHandler &service_handler_; -}; - using ActorInfoHandler = ActorInfoGcsServiceHandler; -using PlacementGroupInfoHandler = PlacementGroupInfoGcsServiceHandler; } // namespace rpc } // namespace ray From e18ef19294ce323284894928adaa778bc2677c88 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 28 Aug 2025 13:19:15 -0700 Subject: [PATCH 0932/1566] Support cpu tensor transfer with NIXL in GPU Objects (#56055) The original pr #55793 has been reverted because of lint issues, this pr is to apply the changes again. Signed-off-by: Douglas Strodtman --- .../channel/serialization_context.py | 4 ++- .../collective/collective_tensor_transport.py | 16 +++++++++-- .../collective/nixl_tensor_transport.py | 13 ++++++++- .../collective/tensor_transport_manager.py | 2 -- python/ray/experimental/collective/util.py | 17 +++++++++++- .../gpu_object_manager/gpu_object_store.py | 27 +++++++++---------- python/ray/tests/test_gpu_objects_nixl.py | 24 ++++++++++++----- python/ray/util/collective/types.py | 3 +++ 8 files changed, 77 insertions(+), 29 deletions(-) diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index 40784b38f409..d06a2d9e098b 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -97,7 +97,9 @@ def serialize_tensor( from ray.experimental.channel import ChannelContext ctx = ChannelContext.get_current() - if self._use_external_transport and tensor.device == ctx.torch_device: + if self._use_external_transport and ( + ctx._torch_device is None or ctx._torch_device == tensor.device + ): # External transport is enabled and we found a tensor that matches # our device. Add the actual tensor to a buffer. The buffer of # tensors should later be popped by the caller and sent via diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 7bf39aed7b25..2edb06d32072 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -40,8 +40,19 @@ def __ray_get_tensor_transport_metadata__( # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) + tensor_meta = [] + device = None + if gpu_object: + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in one GPU object must be the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) return CollectiveTransportMetadata( - tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + tensor_meta=tensor_meta, + tensor_device=device, ) # Submit a Ray actor task to the source actor to get the tensor metadata. @@ -130,10 +141,11 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CollectiveCommunicatorMetadata, - device: "torch.device", ): import ray.util.collective as collective + device = tensors[0].device if tensors else None + for tensor in tensors: if tensor.device.type != device.type: # TODO(swang): Right now there is no way to catch this error diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index eb86f0cb9a3d..dcedbc11bf41 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -45,14 +45,25 @@ def __ray_get_tensor_transport_metadata__( from ray.util.collective.collective import get_group_handle nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) + device = None + tensor_meta = [] if gpu_object: serialized_descs, agent_meta = nixl_backend.get_nixl_metadata( gpu_object ) + # We assume all tensors in one GPU object have the same device type. + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in one GPU object must be the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) else: serialized_descs, agent_meta = None, None return NixlTransportMetadata( - tensor_meta=[(t.shape, t.dtype) for t in gpu_object], + tensor_meta=tensor_meta, + tensor_device=device, nixl_serialized_descs=serialized_descs, nixl_agent_meta=agent_meta, ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 9f3896699393..18d554d2c6d7 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -143,7 +143,6 @@ def recv_multiple_tensors( def send_multiple_tensors( tensors: List["torch.Tensor"], communicator_metadata: CommunicatorMetadata, - device: "torch.device", ): """ Send multiple tensors to the destination actor. @@ -151,5 +150,4 @@ def send_multiple_tensors( Args: tensors: The tensors to send. communicator_metadata: The communicator metadata for the send/recv operation. - device: The device to send the tensors to. """ diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index fc6ef64229fb..6e9297dba37c 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -1,4 +1,4 @@ -from typing import Tuple +from typing import Tuple, TYPE_CHECKING from contextlib import closing import socket @@ -11,6 +11,9 @@ CollectiveTensorTransport, ) +if TYPE_CHECKING: + import torch + # Singleton instances for tensor transport managers _nixl_tensor_transport_manager = None _collective_tensor_transport_manager = None @@ -41,6 +44,18 @@ def get_tensor_transport_manager( raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") +def device_match_transport(device: "torch.device", tensor_transport: Backend) -> bool: + """Check if the device matches the transport.""" + if tensor_transport == Backend.NIXL: + return device.type == "cuda" or device.type == "cpu" + elif tensor_transport == Backend.TORCH_GLOO: + return device.type == "cpu" + elif tensor_transport == Backend.NCCL: + return device.type == "cuda" + else: + raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") + + def find_free_port() -> int: with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: s.bind(("", 0)) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 93fcbc20f54d..a1e76392df26 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -11,6 +11,9 @@ TensorTransportMetadata, ) +from ray.experimental.collective import get_tensor_transport_manager +from ray.experimental.collective.util import device_match_transport + try: import torch except ImportError: @@ -25,14 +28,6 @@ TensorTransportEnum.NIXL: Backend.NIXL, } -COLLECTIVE_BACKEND_TO_TORCH_DEVICE = { - Backend.NCCL: torch.device("cuda"), - Backend.TORCH_GLOO: torch.device("cpu"), - # TODO(Qiaolin-Yu): NIXL could also transfer tensors from CPU to CPU. - # More details in https://github.com/ray-project/ray/issues/55587. - Backend.NIXL: torch.device("cuda"), -} - def _tensor_transport_to_collective_backend( tensor_transport: TensorTransportEnum, @@ -61,15 +56,15 @@ def __ray_send__( tensors = gpu_object_store.get_object(obj_id) backend = collective.get_group_handle(communicator_meta.communicator_name).backend() - device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] - - from ray.experimental.collective import get_tensor_transport_manager tensor_transport_manager = get_tensor_transport_manager(backend) + if tensors and not device_match_transport(tensors[0].device, backend): + raise ValueError( + f"Tensor transport backend {backend} does not support tensor transfer on device {tensors[0].device}." + ) tensor_transport_manager.send_multiple_tensors( tensors, communicator_meta, - device=device, ) @@ -82,14 +77,16 @@ def __ray_recv__( """Helper function that runs on the dst actor to receive tensors from the src actor.""" from ray._private.worker import global_worker - from ray.experimental.collective import get_tensor_transport_manager - backend = collective.get_group_handle(communicator_meta.communicator_name).backend() - device = COLLECTIVE_BACKEND_TO_TORCH_DEVICE[backend] + device = tensor_transport_meta.tensor_device tensor_meta = tensor_transport_meta.tensor_meta gpu_object_store = global_worker.gpu_object_manager.gpu_object_store + if tensor_meta and not device_match_transport(device, backend): + raise ValueError( + f"Tensor transport backend {backend} does not support tensor transfer on device {device}." + ) tensors = [] for meta in tensor_meta: shape, dtype = meta diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/test_gpu_objects_nixl.py index e46a24358d37..3a65e8ea7eb9 100644 --- a/python/ray/tests/test_gpu_objects_nixl.py +++ b/python/ray/tests/test_gpu_objects_nixl.py @@ -7,10 +7,11 @@ @ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) class GPUTestActor: @ray.method(tensor_transport="nixl") - def echo(self, data): - return data.to("cuda") + def echo(self, data, device): + return data.to(device) - def sum(self, data): + def sum(self, data, device): + assert data.device.type == device return data.sum().item() @@ -23,12 +24,21 @@ def test_p2p(ray_start_regular): # Create test tensor tensor = torch.tensor([1, 2, 3]) - ref = src_actor.echo.remote(tensor) + + tensor1 = torch.tensor([4, 5, 6]) + + # Test GPU to GPU transfer + ref = src_actor.echo.remote(tensor, "cuda") # Trigger tensor transfer from src to dst actor - result = dst_actor.sum.remote(ref) + result = dst_actor.sum.remote(ref, "cuda") assert tensor.sum().item() == ray.get(result) + # Test CPU to CPU transfer + ref1 = src_actor.echo.remote(tensor1, "cpu") + result1 = dst_actor.sum.remote(ref1, "cpu") + assert tensor1.sum().item() == ray.get(result1) + @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) def test_intra_gpu_tensor_transfer(ray_start_regular): @@ -37,8 +47,8 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): tensor = torch.tensor([1, 2, 3]) # Intra-actor communication for pure GPU tensors - ref = actor.echo.remote(tensor) - result = actor.sum.remote(ref) + ref = actor.echo.remote(tensor, "cuda") + result = actor.sum.remote(ref, "cuda") assert tensor.sum().item() == ray.get(result) diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index 06a05ae71549..e46737c5a033 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -61,9 +61,12 @@ class TensorTransportMetadata: Args: tensor_meta: A list of tuples, each containing the shape and dtype of a tensor. + tensor_device: The device of the tensor. Currently, we require all tensors in the + list have the same device type. """ tensor_meta: List[Tuple["torch.Size", "torch.dtype"]] + tensor_device: Optional["torch.device"] = None @dataclass From 5e3311745b68a9dc11b7c0fc91be430d798a74b7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Q=E6=96=87=E4=B8=BE?= <39372502+orangeQWJ@users.noreply.github.com> Date: Fri, 29 Aug 2025 04:22:39 +0800 Subject: [PATCH 0933/1566] [Data] Prevent unbounded growth of_StatsActor.datasets (#55925) Background Closes #43924. The _StatsActor suffers from unbounded memory usage in long-running clusters. Its core metadata dictionaries, `datasets` and `dataset_metadatas`, lacked a proper garbage collection (GC) mechanism. This could lead to an Out-of-Memory (OOM) error in the _StatsActor when a large number of datasets are created. Solution This patch implements an eviction policy for _StatsActor based on the `max_stats` configuration to effectively limit the size of the `datasets` and `dataset_metadatas` dictionaries, preventing their unbounded growth. The implementation details are as follows: 1. **Optimize Queue Implementation** The old, unused `fifo_queue` field has been removed. It is replaced by a new `collections.deque`, `finished_datasets_queue`, which serves as a more efficient FIFO queue for storing the tags of completed datasets. 2. **Implement Eviction Logic** - When a dataset's status is updated to `FINISHED` or `FAILED`, its tag is appended to the `finished_datasets_queue`. - A check is then immediately performed to see if the total number of entries in the `datasets` dictionary exceeds `max_stats`. - If the limit is exceeded, the oldest dataset tag is popped from the front of the `finished_datasets_queue`, and the corresponding entries are synchronously deleted from the `datasets` and `dataset_metadatas` dictionaries. 3. **Clarify Limitation Strategy** `max_stats` is not a strict hard limit. Since the eviction logic is only triggered when a dataset completes (`FINISHED` or `FAILED`), it is possible for the number of `RUNNING` datasets to cause the total entry count to temporarily exceed `max_stats`. This design ensures that metadata for in-progress tasks is never evicted, while still effectively preventing unbounded memory growth and OOM errors by cleaning up the oldest completed data as soon as a task finishes. Testing To verify the correctness of this fix, a new unit test, `test_stats_actor_datasets_eviction`, has been added. This test sets a low `max_stats` value and asserts that the oldest finished dataset is correctly evicted when the limit is surpassed. --------- Signed-off-by: qiwenju Co-authored-by: qiwenju Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/stats.py | 13 ++++- python/ray/data/tests/test_stats.py | 75 +++++++++++++++++++++++++++++ 2 files changed, 87 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index 7f4222f68426..cba592182e65 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -163,7 +163,6 @@ def __init__(self, max_stats=1000): self.last_time = {} self.start_time = {} self.max_stats = max_stats - self.fifo_queue = [] # Assign dataset uuids with a global counter. self.next_dataset_id = 0 @@ -177,6 +176,10 @@ def __init__(self, max_stats=1000): self._metadata_exporter = get_dataset_metadata_exporter() self.dataset_metadatas: Dict[str, DatasetMetadata] = {} + # A FIFO queue of dataset_tags for finished datasets. This is used to + # efficiently evict the oldest finished datasets when max_stats is reached. + self.finished_datasets_queue = collections.deque() + # Ray Data dashboard metrics # Everything is a gauge because we need to reset all of # a dataset's metrics to 0 after each finishes execution. @@ -570,6 +573,14 @@ def update_dataset(self, dataset_tag: str, state: Dict[str, Any]): self.update_dataset_metadata_operator_states(dataset_tag, operator_states) + # Evict the oldest finished datasets to ensure the `max_stats` limit is enforced. + if state["state"] in {DatasetState.FINISHED.name, DatasetState.FAILED.name}: + self.finished_datasets_queue.append(dataset_tag) + while len(self.datasets) > self.max_stats and self.finished_datasets_queue: + tag_to_evict = self.finished_datasets_queue.popleft() + self.datasets.pop(tag_to_evict, None) + self.dataset_metadatas.pop(tag_to_evict, None) + def get_datasets(self, job_id: Optional[str] = None): if not job_id: return self.datasets diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index cbe5b5dfa8ba..71edcc8f94a4 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -22,6 +22,7 @@ from ray.data._internal.execution.backpressure_policy.backpressure_policy import ( BackpressurePolicy, ) +from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.execution.interfaces.op_runtime_metrics import TaskDurationStats from ray.data._internal.execution.interfaces.physical_operator import PhysicalOperator from ray.data._internal.stats import ( @@ -29,6 +30,7 @@ NodeMetrics, StatsManager, _get_or_create_stats_actor, + _StatsActor, ) from ray.data._internal.util import MemoryProfiler from ray.data.context import DataContext @@ -1915,6 +1917,79 @@ def test_stats_actor_datasets(ray_start_cluster): assert value["state"] == "FINISHED" +def test_stats_actor_datasets_eviction(ray_start_cluster): + """ + Tests that finished datasets are evicted from the _StatsActor when + the number of datasets exceeds the configured `max_stats` limit. + """ + # Set a low max_stats limit to easily trigger eviction. + max_stats = 2 + # Create a dedicated _StatsActor for this test to avoid interfering + # with the global actor. + stats_actor = _StatsActor.remote(max_stats=max_stats) + + # Patch the function that retrieves the stats actor to return our + # test-specific actor instance. + with patch( + "ray.data._internal.stats._get_or_create_stats_actor", + return_value=stats_actor, + ): + + def check_ds_finished(ds_name): + """Helper to check if a dataset is marked as FINISHED in the actor.""" + datasets = ray.get(stats_actor.get_datasets.remote()) + ds_tag = next((tag for tag in datasets if tag.startswith(ds_name)), None) + if not ds_tag: + return False + return datasets[ds_tag]["state"] == DatasetState.FINISHED.name + + # --- DS1 --- + # Create and materialize the first dataset. + ds1 = ray.data.range(1, override_num_blocks=1) + ds1.set_name("ds1") + ds1.materialize() + # Wait until the actor has been updated with the FINISHED state. + wait_for_condition(lambda: check_ds_finished("ds1")) + + # --- DS2 --- + # Create and materialize the second dataset. + # This brings the total number of datasets to the `max_stats` limit. + ds2 = ray.data.range(1, override_num_blocks=1) + ds2.set_name("ds2") + ds2.materialize() + wait_for_condition(lambda: check_ds_finished("ds2")) + + # --- Verify state before eviction --- + # At this point, both ds1 and ds2 should be in the actor. + datasets = ray.get(stats_actor.get_datasets.remote()) + names_in_actor = {k.split("_")[0] for k in datasets.keys()} + assert names_in_actor == {"ds1", "ds2"} + + # --- DS3 --- + # Create and materialize the third dataset. This should trigger the + # eviction of the oldest finished dataset (ds1). + ds3 = ray.data.range(1, override_num_blocks=1) + ds3.set_name("ds3") + ds3.materialize() + + def check_eviction(): + """ + Helper to check that the actor state reflects the eviction. + The actor should now contain ds2 and ds3, but not ds1. + """ + datasets = ray.get(stats_actor.get_datasets.remote()) + # The eviction happens asynchronously, so we might briefly see 3 datasets. + # We wait until the count is back to 2. + if len(datasets) == max_stats + 1: + return False + names = {k.split("_")[0] for k in datasets.keys()} + assert names == {"ds2", "ds3"} + return True + + # Wait until the eviction has occurred and the actor state is correct. + wait_for_condition(check_eviction) + + @patch.object(StatsManager, "STATS_ACTOR_UPDATE_INTERVAL_SECONDS", new=0.5) @patch.object(StatsManager, "_stats_actor_handle") @patch.object(StatsManager, "UPDATE_THREAD_INACTIVITY_LIMIT", new=1) From 86a092759d50db61e377d9364f61b03f3f9de02d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Q=E6=96=87=E4=B8=BE?= <39372502+orangeQWJ@users.noreply.github.com> Date: Fri, 29 Aug 2025 04:23:36 +0800 Subject: [PATCH 0934/1566] Update async_api.rst (#56042) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Q文举 <39372502+orangeQWJ@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/actors/async_api.rst | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/doc/source/ray-core/actors/async_api.rst b/doc/source/ray-core/actors/async_api.rst index 36f5296fdba4..7a64a774c85a 100644 --- a/doc/source/ray-core/actors/async_api.rst +++ b/doc/source/ray-core/actors/async_api.rst @@ -63,14 +63,14 @@ async frameworks like aiohttp, aioredis, etc. .. testoutput:: :options: +MOCK - (AsyncActor pid=40293) started - (AsyncActor pid=40293) started - (AsyncActor pid=40293) started - (AsyncActor pid=40293) started - (AsyncActor pid=40293) finished - (AsyncActor pid=40293) finished - (AsyncActor pid=40293) finished - (AsyncActor pid=40293) finished + (AsyncActor pid=9064) Waiting for other coroutines to start. + (AsyncActor pid=9064) Waiting for other coroutines to start. + (AsyncActor pid=9064) Waiting for other coroutines to start. + (AsyncActor pid=9064) All coroutines are executing concurrently, unblocking. + (AsyncActor pid=9064) All coroutines ran concurrently. + (AsyncActor pid=9064) All coroutines ran concurrently. + (AsyncActor pid=9064) All coroutines ran concurrently. + (AsyncActor pid=9064) All coroutines ran concurrently. .. testcode:: :hide: From 0fca9789b04daa5df360498ffb54bdb35f766df2 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Thu, 28 Aug 2025 13:58:54 -0700 Subject: [PATCH 0935/1566] [data] add commas in data dashboard (#56014) ## Why are these changes needed? Add missing commas ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../dashboards/data_dashboard_panels.py | 104 +++++++++--------- 1 file changed, 52 insertions(+), 52 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index f73736e3c56c..5ae50ac361ee 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -16,7 +16,7 @@ # targets=[ # Target( # expr=f"sum(ray_data_{metric.name}" -# + "{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)", +# + "{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)", # legend=legend, # ) # ], @@ -33,7 +33,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_spilled_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_spilled_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Spilled: {{dataset}}, {{operator}}", ) ], @@ -48,7 +48,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_freed_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_freed_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Freed: {{dataset}}, {{operator}}", ) ], @@ -63,7 +63,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_current_bytes{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_current_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Current Usage: {{dataset}}, {{operator}}", ) ], @@ -78,7 +78,7 @@ unit="cores", targets=[ Target( - expr='sum(ray_data_cpu_usage_cores{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_cpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="CPU Usage: {{dataset}}, {{operator}}", ) ], @@ -93,7 +93,7 @@ unit="cores", targets=[ Target( - expr='sum(ray_data_gpu_usage_cores{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_gpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="GPU Usage: {{dataset}}, {{operator}}", ) ], @@ -108,7 +108,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_output_bytes{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_output_bytes{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Output / Second: {{dataset}}, {{operator}}", ) ], @@ -123,7 +123,7 @@ unit="rows/sec", targets=[ Target( - expr='sum(rate(ray_data_output_rows{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_output_rows{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Rows Output / Second: {{dataset}}, {{operator}}", ) ], @@ -139,7 +139,7 @@ unit="blocks/sec", targets=[ Target( - expr='sum(rate(ray_data_num_inputs_received{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_num_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Received / Second: {{dataset}}, {{operator}}", ) ], @@ -154,7 +154,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_inputs_received{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_bytes_inputs_received{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Received / Second: {{dataset}}, {{operator}}", ) ], @@ -171,7 +171,7 @@ unit="blocks/sec", targets=[ Target( - expr='sum(rate(ray_data_num_task_inputs_processed{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_num_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Processed / Second: {{dataset}}, {{operator}}", ) ], @@ -188,7 +188,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_bytes_task_inputs_processed{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Processed / Second: {{dataset}}, {{operator}}", ) ], @@ -203,7 +203,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_bytes_inputs_of_submitted_tasks{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Submitted / Second: {{dataset}}, {{operator}}", ) ], @@ -219,7 +219,7 @@ unit="blocks/sec", targets=[ Target( - expr='sum(rate(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -234,7 +234,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -249,7 +249,7 @@ unit="rows/sec", targets=[ Target( - expr='sum(rate(ray_data_rows_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_rows_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Rows Generated / Second: {{dataset}}, {{operator}}", ) ], @@ -264,7 +264,7 @@ unit="blocks/sec", targets=[ Target( - expr='sum(rate(ray_data_num_outputs_taken{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_num_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Blocks Taken / Second: {{dataset}}, {{operator}}", ) ], @@ -281,7 +281,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_outputs_taken{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, operator)', + expr='sum(rate(ray_data_bytes_outputs_taken{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, operator)', legend="Bytes Taken / Second: {{dataset}}, {{operator}}", ) ], @@ -296,7 +296,7 @@ unit="bytes", targets=[ Target( - expr='increase(ray_data_bytes_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m])', + expr='increase(ray_data_bytes_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Average Bytes Generated / Output Block: {{dataset}}, {{operator}}", ) ], @@ -311,7 +311,7 @@ unit="blocks", targets=[ Target( - expr='increase(ray_data_num_task_outputs_generated{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + expr='increase(ray_data_num_task_outputs_generated{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Average Number of Output Blocks / Task: {{dataset}}, {{operator}}", ) ], @@ -328,7 +328,7 @@ unit="Bps", targets=[ Target( - expr='sum(rate(ray_data_bytes_outputs_of_finished_tasks_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + expr='sum(rate(ray_data_bytes_outputs_of_finished_tasks_per_node{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, node_ip)', legend="Bytes output / Second: {{dataset}}, {{node_ip}}", ) ], @@ -345,7 +345,7 @@ unit="blocks/s", targets=[ Target( - expr='sum(rate(ray_data_blocks_outputs_of_finished_tasks_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + expr='sum(rate(ray_data_blocks_outputs_of_finished_tasks_per_node{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, node_ip)', legend="Blocks output / Second: {{dataset}}, {{node_ip}}", ) ], @@ -361,7 +361,7 @@ unit="tasks", targets=[ Target( - expr='sum(ray_data_num_tasks_submitted{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_tasks_submitted{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Submitted Tasks: {{dataset}}, {{operator}}", ) ], @@ -376,7 +376,7 @@ unit="tasks", targets=[ Target( - expr='sum(ray_data_num_tasks_running{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_tasks_running{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Running Tasks: {{dataset}}, {{operator}}", ) ], @@ -391,7 +391,7 @@ unit="tasks", targets=[ Target( - expr='sum(ray_data_num_tasks_have_outputs{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_tasks_have_outputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Tasks with output blocks: {{dataset}}, {{operator}}", ) ], @@ -406,7 +406,7 @@ unit="tasks", targets=[ Target( - expr='sum(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Finished Tasks: {{dataset}}, {{operator}}", ) ], @@ -421,7 +421,7 @@ unit="tasks", targets=[ Target( - expr='sum(ray_data_num_tasks_failed{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_tasks_failed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Failed Tasks: {{dataset}}, {{operator}}", ) ], @@ -436,7 +436,7 @@ unit="tasks/s", targets=[ Target( - expr='sum(rate(ray_data_num_tasks_finished_per_node{{{global_filters} operator=~"$Operator"}}[1m])) by (dataset, node_ip)', + expr='sum(rate(ray_data_num_tasks_finished_per_node{{{global_filters}, operator=~"$Operator"}}[1m])) by (dataset, node_ip)', legend="Finished Tasks: {{dataset}}, {{node_ip}}", ) ], @@ -451,7 +451,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_block_generation_time{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_block_generation_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Block Generation Time: {{dataset}}, {{operator}}", ) ], @@ -466,7 +466,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_task_submission_backpressure_time{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_task_submission_backpressure_time{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Backpressure Time: {{dataset}}, {{operator}}", ) ], @@ -482,7 +482,7 @@ unit="seconds", targets=[ Target( - expr='increase(ray_data_task_completion_time{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + expr='increase(ray_data_task_completion_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Completion Time: {{dataset}}, {{operator}}", ), ], @@ -497,7 +497,7 @@ unit="seconds", targets=[ Target( - expr='increase(ray_data_task_output_backpressure_time{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + expr='increase(ray_data_task_output_backpressure_time{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Output Backpressure Time: {{dataset}}, {{operator}}", ), ], @@ -512,7 +512,7 @@ unit="seconds", targets=[ Target( - expr='increase(ray_data_task_completion_time_without_backpressure{{{global_filters} operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters} operator=~"$Operator"}}[5m])', + expr='increase(ray_data_task_completion_time_without_backpressure{{{global_filters}, operator=~"$Operator"}}[5m]) / increase(ray_data_num_tasks_finished{{{global_filters}, operator=~"$Operator"}}[5m])', legend="Task Completion Time w/o Backpressure: {{dataset}}, {{operator}}", ), ], @@ -528,7 +528,7 @@ unit="blocks", targets=[ Target( - expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -543,7 +543,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_internal_inqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -558,7 +558,7 @@ unit="blocks", targets=[ Target( - expr='sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_internal_outqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -573,7 +573,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_internal_outqueue{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -588,7 +588,7 @@ unit="blocks", targets=[ Target( - expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Blocks: {{dataset}}, {{operator}}", ) ], @@ -603,7 +603,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Bytes: {{dataset}}, {{operator}}", ) ], @@ -619,7 +619,7 @@ unit="blocks", targets=[ Target( - expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters} operator=~"$Operator"}} + ray_data_num_external_inqueue_blocks{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_internal_inqueue_blocks{{{global_filters}, operator=~"$Operator"}} + ray_data_num_external_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Combined Blocks: {{dataset}}, {{operator}}", ) ], @@ -634,7 +634,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_pending_task_inputs{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -649,7 +649,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_obj_store_mem_freed{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_freed{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -664,7 +664,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_obj_store_mem_spilled{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_obj_store_mem_spilled{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Bytes Size: {{dataset}}, {{operator}}", ) ], @@ -680,7 +680,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_initialize_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + expr='sum(ray_data_iter_initialize_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', legend="Seconds: {{dataset}}, {{operator}}", ) ], @@ -695,7 +695,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_total_blocked_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + expr='sum(ray_data_iter_total_blocked_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', legend="Seconds: {{dataset}}", ) ], @@ -710,7 +710,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_user_seconds{{{global_filters} operator=~"$Operator"}}) by (dataset)', + expr='sum(ray_data_iter_user_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', legend="Seconds: {{dataset}}", ) ], @@ -726,7 +726,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_sched_loop_duration_s{{{global_filters} operator=~"$Operator"}}) by (dataset)', + expr='sum(ray_data_sched_loop_duration_s{{{global_filters}, operator=~"$Operator"}}) by (dataset)', legend="Scheduling Loop Duration: {{dataset}}", ) ], @@ -741,7 +741,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_max_bytes_to_read{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_max_bytes_to_read{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Max Bytes to Read: {{dataset}}, {{operator}}", ) ], @@ -757,7 +757,7 @@ unit="cpu", targets=[ Target( - expr='sum(ray_data_cpu_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_cpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (CPU): {{dataset}}, {{operator}}", ) ], @@ -772,7 +772,7 @@ unit="gpu", targets=[ Target( - expr='sum(ray_data_gpu_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_gpu_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (GPU): {{dataset}}, {{operator}}", ) ], @@ -787,7 +787,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_memory_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (Memory): {{dataset}}, {{operator}}", ) ], @@ -802,7 +802,7 @@ unit="bytes", targets=[ Target( - expr='sum(ray_data_object_store_memory_budget{{{global_filters} operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_object_store_memory_budget{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Budget (Object Store Memory): {{dataset}}, {{operator}}", ) ], From 02bce95f4f83c3c9b8de740606b68b0620231b52 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 16:16:40 -0500 Subject: [PATCH 0936/1566] [core] Split `gcs_actor_manager` out from `gcs_server_lib` (#56049) Stacked on: https://github.com/ray-project/ray/pull/56002 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 49 ++++++++- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 2 + src/ray/gcs/gcs_server/gcs_actor_manager.h | 10 +- src/ray/gcs/gcs_server/gcs_server.cc | 5 +- .../gcs/gcs_server/grpc_service_interfaces.h | 42 ++++++++ src/ray/gcs/gcs_server/grpc_services.cc | 20 ++++ src/ray/gcs/gcs_server/grpc_services.h | 23 ++++ src/ray/gcs/gcs_server/tests/BUILD.bazel | 17 ++- .../gcs_actor_manager_export_event_test.cc | 1 - .../tests/gcs_actor_manager_test.cc | 1 - src/ray/rpc/gcs/gcs_rpc_server.h | 100 ++---------------- 11 files changed, 165 insertions(+), 105 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index d8791b891079..3228dde7e6a7 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -360,6 +360,9 @@ ray_cc_library( hdrs = [ "gcs_actor.h", ], + implementation_deps = [ + "//src/ray/util:logging", + ], deps = [ "//src/ray/common:id", "//src/ray/common:task_common", @@ -368,7 +371,6 @@ ray_cc_library( "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/util:counter_map", "//src/ray/util:event", - "//src/ray/util:logging", ], ) @@ -380,13 +382,16 @@ ray_cc_library( hdrs = [ "gcs_actor_scheduler.h", ], + implementation_deps = [ + "//src/ray/common:ray_config", + "//src/ray/util:time", + ], deps = [ ":gcs_actor", ":gcs_node_manager", ":gcs_table_storage", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/raylet/scheduling:cluster_task_manager", @@ -394,7 +399,44 @@ ray_cc_library( "//src/ray/rpc:core_worker_client", "//src/ray/rpc:node_manager_client", "//src/ray/util:logging", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_googletest//:gtest", + ], +) + +ray_cc_library( + name = "gcs_actor_manager", + srcs = [ + "gcs_actor_manager.cc", + ], + hdrs = [ + "gcs_actor_manager.h", + ], + implementation_deps = [ + "//src/ray/common:ray_config", + "//src/ray/common:task_common", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/stats:stats_lib", + "//src/ray/util:logging", "//src/ray/util:time", + ], + deps = [ + ":gcs_actor", + ":gcs_actor_scheduler", + ":gcs_function_manager", + ":gcs_init_data", + ":gcs_table_storage", + ":gcs_usage_stats_client", + ":grpc_service_interfaces", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/rpc:core_worker_client", + "//src/ray/util:counter_map", + "//src/ray/util:logging", + "//src/ray/util:thread_checker", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_googletest//:gtest", @@ -404,17 +446,16 @@ ray_cc_library( ray_cc_library( name = "gcs_server_lib", srcs = [ - "gcs_actor_manager.cc", "gcs_autoscaler_state_manager.cc", "gcs_server.cc", ], hdrs = [ - "gcs_actor_manager.h", "gcs_autoscaler_state_manager.h", "gcs_server.h", ], deps = [ ":gcs_actor", + ":gcs_actor_manager", ":gcs_actor_scheduler", ":gcs_function_manager", ":gcs_health_check_manager", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index ddad4fe2d02f..b8a45ed147e8 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -23,8 +23,10 @@ #include #include "ray/common/ray_config.h" +#include "ray/common/task/task_spec.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" +#include "ray/util/logging.h" #include "ray/util/time.h" namespace { diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 5fd24a07995d..a0dab85a3903 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -13,6 +13,7 @@ // limitations under the License. #pragma once + #include #include @@ -22,20 +23,21 @@ #include #include "absl/container/flat_hash_map.h" +#include "absl/container/flat_hash_set.h" +#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/runtime_env_manager.h" -#include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" -#include "ray/util/event.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs_service.pb.h" @@ -87,7 +89,7 @@ namespace gcs { /// will update its state to `DEAD` and remove it from `registered_actors_` and /// `created_actors_`. /// 9: A dead actor caused by out-of-scope is lineage reconstructed. -class GcsActorManager : public rpc::ActorInfoHandler { +class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { public: /// Create a GcsActorManager /// diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index be8a25d3b2f3..041412b0b16d 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -499,10 +499,11 @@ void GcsServer::InitGcsActorManager(const GcsInitData &gcs_init_data) { }, worker_client_pool_); - // Initialize by gcs tables data. gcs_actor_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_actor_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_actor_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InitGcsPlacementGroupManager(const GcsInitData &gcs_init_data) { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 1ce4129ca697..3f4feb03b784 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -35,6 +35,48 @@ using SendReplyCallback = std::functionmutable_status()->set_message(status.message()); \ send_reply_callback(ray::Status::OK(), nullptr, nullptr) +class ActorInfoGcsServiceHandler { + public: + virtual ~ActorInfoGcsServiceHandler() = default; + + virtual void HandleRegisterActor(RegisterActorRequest request, + RegisterActorReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRestartActorForLineageReconstruction( + RestartActorForLineageReconstructionRequest request, + RestartActorForLineageReconstructionReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleCreateActor(CreateActorRequest request, + CreateActorReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetActorInfo(GetActorInfoRequest request, + GetActorInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetNamedActorInfo(GetNamedActorInfoRequest request, + GetNamedActorInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleListNamedActors(rpc::ListNamedActorsRequest request, + rpc::ListNamedActorsReply *reply, + rpc::SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetAllActorInfo(GetAllActorInfoRequest request, + GetAllActorInfoReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleKillActorViaGcs(KillActorViaGcsRequest request, + KillActorViaGcsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleReportActorOutOfScope(ReportActorOutOfScopeRequest request, + ReportActorOutOfScopeReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + class NodeInfoGcsServiceHandler { public: virtual ~NodeInfoGcsServiceHandler() = default; diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 4e63a85a4e12..d1b4bb9d9f51 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -19,6 +19,26 @@ namespace ray { namespace rpc { +void ActorInfoGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + /// The register & create actor RPCs take a long time, so we shouldn't limit their + /// concurrency to avoid distributed deadlock. + RPC_SERVICE_HANDLER(ActorInfoGcsService, RegisterActor, -1) + RPC_SERVICE_HANDLER(ActorInfoGcsService, CreateActor, -1) + RPC_SERVICE_HANDLER(ActorInfoGcsService, RestartActorForLineageReconstruction, -1) + + RPC_SERVICE_HANDLER(ActorInfoGcsService, GetActorInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(ActorInfoGcsService, GetAllActorInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + ActorInfoGcsService, GetNamedActorInfo, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(ActorInfoGcsService, ListNamedActors, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(ActorInfoGcsService, KillActorViaGcs, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + ActorInfoGcsService, ReportActorOutOfScope, max_active_rpcs_per_handler_) +} + void NodeInfoGrpcService::InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index 8108dc3760ce..20040d8396aa 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -35,6 +35,29 @@ namespace ray { namespace rpc { +class ActorInfoGrpcService : public GrpcService { + public: + explicit ActorInfoGrpcService(instrumented_io_context &io_service, + ActorInfoGcsServiceHandler &service_handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(service_handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + ActorInfoGcsService::AsyncService service_; + ActorInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + class NodeInfoGrpcService : public GrpcService { public: explicit NodeInfoGrpcService(instrumented_io_context &io_service, diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 51a7dde30e5b..2bb7fc487143 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -244,8 +244,13 @@ ray_cc_test( ], deps = [ "//:ray_mock", + "//src/ray/common:asio", + "//src/ray/common:runtime_env", "//src/ray/gcs/gcs_server:gcs_actor", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs/gcs_server:gcs_actor_manager", + "//src/ray/gcs/gcs_server:gcs_actor_scheduler", + "//src/ray/gcs/gcs_server:gcs_function_manager", + "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/pubsub:publisher", "@com_google_googletest//:gtest_main", @@ -399,9 +404,17 @@ ray_cc_test( ], deps = [ "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/common:asio", + "//src/ray/common:runtime_env", + "//src/ray/gcs/gcs_server:gcs_actor", + "//src/ray/gcs/gcs_server:gcs_actor_manager", + "//src/ray/gcs/gcs_server:gcs_actor_scheduler", + "//src/ray/gcs/gcs_server:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/pubsub:publisher", + "//src/ray/rpc:core_worker_client", + "//src/ray/util:event", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index fa8465fda45d..735acc7c9bbd 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -28,7 +28,6 @@ #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index b05cabf4141b..8efa1aa22544 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -29,7 +29,6 @@ #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 2750b945c35a..28b0c7e73c9f 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -109,8 +109,15 @@ using AutoscalerStateHandler = AutoscalerStateServiceHandler; namespace ray { namespace rpc { -#define ACTOR_INFO_SERVICE_RPC_HANDLER(HANDLER, MAX_ACTIVE_RPCS) \ - RPC_SERVICE_HANDLER(ActorInfoGcsService, HANDLER, MAX_ACTIVE_RPCS) +#define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(MonitorGcsService, \ + HANDLER, \ + RayConfig::instance().gcs_max_active_rpcs_per_handler()) + +#define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ + RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ + HANDLER, \ + RayConfig::instance().gcs_max_active_rpcs_per_handler()) #define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ RPC_SERVICE_HANDLER(MonitorGcsService, \ @@ -127,94 +134,5 @@ namespace rpc { reply->mutable_status()->set_message(status.message()); \ send_reply_callback(ray::Status::OK(), nullptr, nullptr) -class ActorInfoGcsServiceHandler { - public: - virtual ~ActorInfoGcsServiceHandler() = default; - - virtual void HandleRegisterActor(RegisterActorRequest request, - RegisterActorReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleRestartActorForLineageReconstruction( - RestartActorForLineageReconstructionRequest request, - RestartActorForLineageReconstructionReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleCreateActor(CreateActorRequest request, - CreateActorReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetActorInfo(GetActorInfoRequest request, - GetActorInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetNamedActorInfo(GetNamedActorInfoRequest request, - GetNamedActorInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleListNamedActors(rpc::ListNamedActorsRequest request, - rpc::ListNamedActorsReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetAllActorInfo(GetAllActorInfoRequest request, - GetAllActorInfoReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleKillActorViaGcs(KillActorViaGcsRequest request, - KillActorViaGcsReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleReportActorOutOfScope(ReportActorOutOfScopeRequest request, - ReportActorOutOfScopeReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `ActorInfoGcsService`. -class ActorInfoGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit ActorInfoGrpcService(instrumented_io_context &io_service, - ActorInfoGcsServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - /// Register/Create Actor RPC takes long time, we shouldn't limit them to avoid - /// distributed deadlock. - ACTOR_INFO_SERVICE_RPC_HANDLER(RegisterActor, -1); - ACTOR_INFO_SERVICE_RPC_HANDLER(RestartActorForLineageReconstruction, -1); - ACTOR_INFO_SERVICE_RPC_HANDLER(CreateActor, -1); - - /// Others need back pressure. - ACTOR_INFO_SERVICE_RPC_HANDLER( - GetActorInfo, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - ACTOR_INFO_SERVICE_RPC_HANDLER( - GetNamedActorInfo, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - ACTOR_INFO_SERVICE_RPC_HANDLER( - ListNamedActors, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - ACTOR_INFO_SERVICE_RPC_HANDLER( - GetAllActorInfo, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - ACTOR_INFO_SERVICE_RPC_HANDLER( - KillActorViaGcs, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - ACTOR_INFO_SERVICE_RPC_HANDLER( - ReportActorOutOfScope, RayConfig::instance().gcs_max_active_rpcs_per_handler()); - } - - private: - /// The grpc async service object. - ActorInfoGcsService::AsyncService service_; - /// The service handler that actually handle the requests. - ActorInfoGcsServiceHandler &service_handler_; -}; - -using ActorInfoHandler = ActorInfoGcsServiceHandler; - } // namespace rpc } // namespace ray From a4e917f90dc5bba0d054d3ab21afc247f5587607 Mon Sep 17 00:00:00 2001 From: Rueian Date: Thu, 28 Aug 2025 14:17:38 -0700 Subject: [PATCH 0937/1566] [core][autoscaler] Enable autoscaler v2 on clusters launched by the cluster launcher (#55865) Turn on autoscaler v2 on cluster launcher by default in the next Ray release (2.50.0). Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/commands.py | 12 ++++++++-- .../tests/test_cli_patterns/test_ray_up.txt | 1 + .../test_cli_patterns/test_ray_up_docker.txt | 1 + .../test_cli_patterns/test_ray_up_record.txt | 5 ++-- release/release_tests.yaml | 24 +++++++++++++++++++ 5 files changed, 39 insertions(+), 4 deletions(-) diff --git a/python/ray/autoscaler/_private/commands.py b/python/ray/autoscaler/_private/commands.py index fa571a641b48..fd15218e65e2 100644 --- a/python/ray/autoscaler/_private/commands.py +++ b/python/ray/autoscaler/_private/commands.py @@ -824,8 +824,16 @@ def get_or_create_head_node( # Use RAY_UP_enable_autoscaler_v2 instead of RAY_enable_autoscaler_v2 # to avoid accidentally enabling autoscaler v2 for ray up - # due to env inheritance. - if os.getenv("RAY_UP_enable_autoscaler_v2", "0") == "1": + # due to env inheritance. The default value is 1 since Ray 2.50.0. + if os.getenv("RAY_UP_enable_autoscaler_v2", "1") == "1": + if "RAY_UP_enable_autoscaler_v2" not in os.environ: + # TODO (rueian): Remove this notice after Ray 2.52.0. + cli_logger.print( + "Autoscaler v2 is now enabled by default (since Ray 2.50.0). " + "To switch back to v1, set {}=0. This message can be suppressed by setting {} explicitly.", + cf.bold("RAY_UP_enable_autoscaler_v2"), + cf.bold("RAY_UP_enable_autoscaler_v2"), + ) ray_start_commands = with_envs( ray_start_commands, { diff --git a/python/ray/tests/test_cli_patterns/test_ray_up.txt b/python/ray/tests/test_cli_patterns/test_ray_up.txt index 30a9f52d28e9..0da266aaed4a 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_up.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_up.txt @@ -19,6 +19,7 @@ Acquiring an up-to-date head node <1/1> Setting up head node Prepared bootstrap config + Autoscaler v2 is now enabled by default.+ New status: waiting-for-ssh \[1/7\] Waiting for SSH to become available Running `uptime` as a test\. diff --git a/python/ray/tests/test_cli_patterns/test_ray_up_docker.txt b/python/ray/tests/test_cli_patterns/test_ray_up_docker.txt index 30a9f52d28e9..0da266aaed4a 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_up_docker.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_up_docker.txt @@ -19,6 +19,7 @@ Acquiring an up-to-date head node <1/1> Setting up head node Prepared bootstrap config + Autoscaler v2 is now enabled by default.+ New status: waiting-for-ssh \[1/7\] Waiting for SSH to become available Running `uptime` as a test\. diff --git a/python/ray/tests/test_cli_patterns/test_ray_up_record.txt b/python/ray/tests/test_cli_patterns/test_ray_up_record.txt index 1f6ce5e93ce3..3bbbc3b98a13 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_up_record.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_up_record.txt @@ -18,6 +18,7 @@ .+\.py.*Fetching the new head node .+\.py.*<1/1> Setting up head node .+\.py.*Prepared bootstrap config +.+\.py.*Autoscaler v2 is now enabled by default.+ .+\.py.*AWSNodeProvider: Set tag ray-node-status=waiting-for-ssh on \['.+'\] \[LogTimer=.+\] .+\.py.*New status: waiting-for-ssh .+\.py.*\[1/7\] Waiting for SSH to become available @@ -73,9 +74,9 @@ .+\.py.*Full command is `ssh.+` .+\.py.*NodeUpdater: i-.+: Setup commands succeeded \[LogTimer=.+\] .+\.py.*\[7/7\] Starting the Ray runtime -.+\.py.*Running `export RAY_USAGE_STATS_ENABLED=1;export RAY_OVERRIDE_RESOURCES='{"CPU":1}';export RAY_OVERRIDE_LABELS='{"key1":"value1"}';ray stop` +.+\.py.*Running `export RAY_USAGE_STATS_ENABLED=1;export RAY_OVERRIDE_RESOURCES='{"CPU":1}';export RAY_OVERRIDE_LABELS='{"key1":"value1"}';export RAY_enable_autoscaler_v2=1; export RAY_CLOUD_INSTANCE_ID=i-.+; export RAY_NODE_TYPE_NAME=head_node; ray stop` .+\.py.*Full command is `ssh.+` -.+\.py.*Running `export RAY_USAGE_STATS_ENABLED=1;export RAY_OVERRIDE_RESOURCES='{"CPU":1}';export RAY_OVERRIDE_LABELS='{"key1":"value1"}';ray start --head --autoscaling-config=~/ray_bootstrap_config\.yaml` +.+\.py.*Running `export RAY_USAGE_STATS_ENABLED=1;export RAY_OVERRIDE_RESOURCES='{"CPU":1}';export RAY_OVERRIDE_LABELS='{"key1":"value1"}';export RAY_enable_autoscaler_v2=1; export RAY_CLOUD_INSTANCE_ID=i-.+; export RAY_NODE_TYPE_NAME=head_node; ray start --head --autoscaling-config=~/ray_bootstrap_config\.yaml` .+\.py.*Full command is `ssh.+` .+\.py.*NodeUpdater: i-.+: Ray start commands succeeded \[LogTimer=.+\] .+\.py.*NodeUpdater: i-.+: Applied config .+ \[LogTimer=.+\] diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 8cd1f1bee9e4..835ceacbe3f6 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4102,6 +4102,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 @@ -4122,6 +4124,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override nightly - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override nightly @@ -4142,6 +4146,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override latest - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override latest @@ -4162,6 +4168,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override commit - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/tests/aws_cluster.yaml --num-expected-nodes 2 --retries 10 --docker-override commit @@ -4183,6 +4191,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/example-minimal.yaml - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/example-minimal.yaml @@ -4203,6 +4213,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py aws/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py aws/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest @@ -4226,6 +4238,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-minimal-pinned.yaml - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-minimal-pinned.yaml @@ -4249,6 +4263,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 30 --docker-override latest - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 30 --docker-override latest @@ -4272,6 +4288,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override latest @@ -4295,6 +4313,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override nightly - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override nightly @@ -4318,6 +4338,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override commit - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-full.yaml --num-expected-nodes 2 --retries 20 --docker-override commit @@ -4341,6 +4363,8 @@ variations: - __suffix__: v1 + run: + script: RAY_UP_enable_autoscaler_v2=0 python launch_and_verify_cluster.py gcp/example-gpu-docker.yaml - __suffix__: v2 run: script: RAY_UP_enable_autoscaler_v2=1 python launch_and_verify_cluster.py gcp/example-gpu-docker.yaml From dda6af9c55bd250e6f15cb4fcd93f98ac071ed8f Mon Sep 17 00:00:00 2001 From: Len Strnad Date: Thu, 28 Aug 2025 15:45:09 -0600 Subject: [PATCH 0938/1566] [Data] - Handle the case when number of rows exceeds the number of bytes for a block (#55790) ## Why are these changes needed? When num rows is >> bytes int casts to 0 and we get division by zero. ## Related issue number Closes #54385 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: ljstrnadiii Signed-off-by: Alexey Kudinkin Co-authored-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/arrow_block.py | 2 +- python/ray/data/tests/test_arrow_block.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 9d18db5bf028..8f8058cc58c0 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -187,7 +187,7 @@ def _get_max_chunk_size( if table.nbytes == 0: return None else: - avg_row_size = int(table.nbytes / table.num_rows) + avg_row_size = table.nbytes / table.num_rows return max(1, int(max_chunk_size_bytes / avg_row_size)) diff --git a/python/ray/data/tests/test_arrow_block.py b/python/ray/data/tests/test_arrow_block.py index 3790964d19b3..f599bfc58ee5 100644 --- a/python/ray/data/tests/test_arrow_block.py +++ b/python/ray/data/tests/test_arrow_block.py @@ -542,6 +542,7 @@ def test_arrow_nan_element(): "table_data,max_chunk_size_bytes,expected", [ ({"a": []}, 100, None), + ({"a": list(range(100))}, 7, 1), ({"a": list(range(100))}, 10, 1), ({"a": list(range(100))}, 25, 3), ({"a": list(range(100))}, 50, 6), From 4f19593ff13b5216885c127092620a93832e230b Mon Sep 17 00:00:00 2001 From: Goku Mohandas Date: Thu, 28 Aug 2025 15:18:19 -0700 Subject: [PATCH 0939/1566] Mm ai 082725 (#56035) Signed-off-by: Douglas Strodtman --- .../e2e-multimodal-ai-workloads/containerfile | 2 +- .../notebooks/01-Batch-Inference.ipynb | 436 +-- .../notebooks/02-Distributed-Training.ipynb | 3054 ++--------------- .../notebooks/03-Online-Serving.ipynb | 84 +- .../byod/byod_e2e_multimodal_ai_workloads.sh | 2 +- 5 files changed, 547 insertions(+), 3031 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile index 4a370bacac53..a9bc32fc2faa 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/containerfile @@ -1,6 +1,6 @@ # Start with an Anyscale base image. # Use the drop-down above to browse through all available images. -FROM anyscale/ray:2.48.0-slim-py312-cu128 +FROM anyscale/ray:2.49.0-slim-py312-cu128 # Add your pip dependencies here. Disable cache for a smaller image to optimize build and cluster startup time. # RUN pip install --no-cache-dir --upgrade diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb index f50bf23508fd..2b083decd67d 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/01-Batch-Inference.ipynb @@ -31,9 +31,9 @@ "output_type": "stream", "text": [ "\u001b[92mSuccessfully registered `ipywidgets, matplotlib` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_23ry3pgfn3jgq2jk3e5z25udhz?workspace-tab=dependencies\u001b[0m\n", "\u001b[92mSuccessfully registered `doggos` package to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n" + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_23ry3pgfn3jgq2jk3e5z25udhz?workspace-tab=dependencies\u001b[0m\n" ] } ], @@ -121,23 +121,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:14:08,238\tINFO worker.py:1747 -- Connecting to existing Ray cluster at address: 10.0.52.10:6379...\n", - "2025-08-22 00:14:08,250\tINFO worker.py:1918 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-08-22 00:14:08,255\tINFO packaging.py:588 -- Creating a file package for local module '/home/ray/default/doggos/doggos'.\n", - "2025-08-22 00:14:08,258\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_0193267f6c9951ce.zip' (0.02MiB) to Ray cluster...\n", - "2025-08-22 00:14:08,259\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_0193267f6c9951ce.zip'.\n", - "2025-08-22 00:14:08,262\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_6d26725922931a7a9e87fca928dfafe4f4e5e54b.zip' (1.18MiB) to Ray cluster...\n", - "2025-08-22 00:14:08,268\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_6d26725922931a7a9e87fca928dfafe4f4e5e54b.zip'.\n", - "2025-08-22 00:14:08,550\tINFO dataset.py:3057 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-08-22 00:14:08,552\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_59_0\n", - "2025-08-22 00:14:08,641\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_59_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:14:08,642\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_59_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> LimitOperator[limit=1]\n" + "2025-08-28 05:00:43,606\tINFO worker.py:1771 -- Connecting to existing Ray cluster at address: 10.0.17.148:6379...\n", + "2025-08-28 05:00:43,617\tINFO worker.py:1942 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-jhxhj69d6ttkjctcxfnsfe7gwk.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-08-28 05:00:43,621\tINFO packaging.py:588 -- Creating a file package for local module '/home/ray/default/doggos/doggos'.\n", + "2025-08-28 05:00:43,625\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_7400f2bea399eebc.zip' (0.02MiB) to Ray cluster...\n", + "2025-08-28 05:00:43,625\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_7400f2bea399eebc.zip'.\n", + "2025-08-28 05:00:43,628\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_a31dca6092632244a5c9467084f1b1f8df982200.zip' (1.10MiB) to Ray cluster...\n", + "2025-08-28 05:00:43,634\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_a31dca6092632244a5c9467084f1b1f8df982200.zip'.\n", + "2025-08-28 05:00:48,035\tINFO dataset.py:3248 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-08-28 05:00:48,039\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_1_0\n", + "2025-08-28 05:00:48,101\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_1_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:00:48,102\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_1_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> LimitOperator[limit=1] -> TaskPoolMapOperator[ReadFiles]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b6862146286847ef9294638c1aa3d311", + "model_id": "d08e184535944a6c8ea162eca5674cd1", "version_major": 2, "version_minor": 0 }, @@ -151,7 +151,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "86a135d7d9cd45bc8ad9e5f0e5c477ad", + "model_id": "ac866daca29b4379b67367b2c50c65f0", "version_major": 2, "version_minor": 0 }, @@ -165,12 +165,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4bfc88e39a7b450c945855a2d3f908e4", + "model_id": "724c3b66392442aebf0d756157799e44", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- ReadFiles 2: 0.00 row [00:00, ? row/s]" + "- limit=1 2: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -179,12 +179,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1071a49d524e424498985dc424a029a1", + "model_id": "c1d6a10ed6c04fce8135dc2a98b8ebe3", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "- limit=1 3: 0.00 row [00:00, ? row/s]" + "- ReadFiles 3: 0.00 row [00:00, ? row/s]" ] }, "metadata": {}, @@ -194,63 +194,63 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:14:08,686\tWARNING resource_manager.py:130 -- ⚠️ Ray's object store is configured to use only 28.2% of available memory (67.8GB out of 240.5GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", - "2025-08-22 00:15:25,802\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_59_0 execution finished in 77.16 seconds\n" + "2025-08-28 05:00:48,137\tWARNING resource_manager.py:134 -- ⚠️ Ray's object store is configured to use only 27.3% of available memory (8.7GiB out of 32.0GiB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", + "2025-08-28 05:00:52,084\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_1_0 execution finished in 3.98 seconds\n" ] }, { "data": { "text/plain": [ - "[{'image': array([[[123, 118, 78],\n", - " [125, 120, 80],\n", - " [128, 120, 83],\n", + "[{'image': array([[[ 71, 93, 81],\n", + " [ 71, 93, 81],\n", + " [ 71, 91, 79],\n", " ...,\n", - " [162, 128, 83],\n", - " [162, 128, 83],\n", - " [161, 127, 82]],\n", + " [ 99, 129, 137],\n", + " [101, 131, 139],\n", + " [102, 132, 140]],\n", " \n", - " [[123, 118, 78],\n", - " [125, 120, 80],\n", - " [127, 119, 82],\n", + " [[ 61, 81, 70],\n", + " [ 61, 81, 70],\n", + " [ 61, 81, 69],\n", " ...,\n", - " [162, 128, 83],\n", - " [162, 128, 83],\n", - " [161, 127, 82]],\n", + " [ 93, 123, 131],\n", + " [ 96, 125, 133],\n", + " [ 97, 127, 135]],\n", " \n", - " [[123, 118, 78],\n", - " [125, 120, 80],\n", - " [127, 119, 82],\n", + " [[ 51, 68, 58],\n", + " [ 51, 68, 58],\n", + " [ 50, 68, 56],\n", " ...,\n", - " [161, 128, 83],\n", - " [161, 128, 83],\n", - " [160, 127, 82]],\n", + " [ 82, 111, 117],\n", + " [ 85, 112, 119],\n", + " [ 86, 115, 121]],\n", " \n", " ...,\n", " \n", - " [[235, 234, 239],\n", - " [233, 232, 237],\n", - " [221, 220, 225],\n", + " [[ 83, 101, 103],\n", + " [ 83, 101, 103],\n", + " [ 84, 102, 106],\n", " ...,\n", - " [158, 95, 54],\n", - " [150, 85, 53],\n", - " [151, 88, 57]],\n", + " [ 94, 82, 56],\n", + " [ 97, 85, 59],\n", + " [ 99, 87, 61]],\n", " \n", - " [[219, 220, 222],\n", - " [227, 228, 230],\n", - " [222, 223, 225],\n", + " [[ 82, 100, 102],\n", + " [ 82, 100, 102],\n", + " [ 83, 101, 105],\n", " ...,\n", - " [153, 91, 54],\n", - " [146, 83, 52],\n", - " [149, 88, 59]],\n", + " [ 95, 83, 57],\n", + " [ 98, 86, 60],\n", + " [ 99, 87, 61]],\n", " \n", - " [[213, 217, 216],\n", - " [217, 221, 220],\n", - " [213, 214, 216],\n", + " [[ 85, 100, 103],\n", + " [ 85, 100, 103],\n", + " [ 83, 101, 103],\n", " ...,\n", - " [153, 91, 54],\n", - " [144, 83, 54],\n", - " [149, 88, 60]]], dtype=uint8),\n", - " 'path': 'doggos-dataset/train/border_collie/border_collie_1055.jpg'}]" + " [ 95, 84, 56],\n", + " [ 99, 88, 60],\n", + " [100, 89, 61]]], dtype=uint8),\n", + " 'path': 'doggos-dataset/train/malamute/malamute_11814.jpg'}]" ] }, "execution_count": null, @@ -498,15 +498,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:15:55,241\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_64_0\n", - "2025-08-22 00:15:55,265\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_64_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:15:55,267\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_64_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-08-28 05:00:55,737\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_6_0\n", + "2025-08-28 05:00:55,756\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_6_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:00:55,757\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_6_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6d183707412548d5acd113c34ed06a4c", + "model_id": "7dbb9f0a9c364c529da80ff9e3266eb4", "version_major": 2, "version_minor": 0 }, @@ -517,10 +517,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "{\"asctime\":\"2025-08-28 05:00:55,808\",\"levelname\":\"E\",\"message\":\"Actor with class name: 'MapWorker(MapBatches(EmbedImages))' and ID: '1e923c76f6e2b92256b942a802000000' has constructor arguments in the object store and max_restarts > 0. If the arguments in the object store go out of scope or are lost, the actor restart will fail. See https://github.com/ray-project/ray/issues/53727 for more details.\",\"filename\":\"core_worker.cc\",\"lineno\":2254}\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "658e7e6b56fd4ddca63a85f903dc598c", + "model_id": "02bc199f5f074df19b376272e8c29ba8", "version_major": 2, "version_minor": 0 }, @@ -534,7 +541,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ea845b3839f341fe96882d806ad16146", + "model_id": "70ce40105ae34580a6ebb69dfada0de0", "version_major": 2, "version_minor": 0 }, @@ -548,7 +555,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "83e3d887e66844b7a414f95163268c4f", + "model_id": "36450487d0614de89dab8cb02e4e7180", "version_major": 2, "version_minor": 0 }, @@ -562,7 +569,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "dca912f45aab4457b4188f74fb21ab63", + "model_id": "1197937e481a43bb90094625f2c8a569", "version_major": 2, "version_minor": 0 }, @@ -576,7 +583,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1b0ab6aaffeb45aea51b8a3c7b75540a", + "model_id": "c6277d187bd345ff9a773b33bbc03ea6", "version_major": 2, "version_minor": 0 }, @@ -591,30 +598,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(autoscaler +2m12s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", - "\u001b[36m(autoscaler +2m17s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", - "\u001b[36m(autoscaler +2m17s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", - "\u001b[36m(autoscaler +2m57s)\u001b[0m [autoscaler] Cluster upscaled to {104 CPU, 8 GPU}.\n" + "\u001b[36m(autoscaler +20s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", + "\u001b[36m(autoscaler +20s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", + "\u001b[36m(autoscaler +25s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=3333, ip=10.0.27.32)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=116142)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\n", - "\u001b[36m(_MapWorker pid=3332, ip=10.0.27.32)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=34034, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 32x across cluster]\u001b[0m\n", - "2025-08-22 00:18:30,236\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_64_0 execution finished in 154.97 seconds\n", - "2025-08-22 00:18:30,323\tINFO dataset.py:4621 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" + "2025-08-28 05:01:19,478\tWARNING resource_manager.py:551 -- Cluster resources are not engough to run any task from ActorPoolMapOperator[MapBatches(EmbedImages)]. The job may hang forever unless the cluster scales up.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[36m(autoscaler +6m52s)\u001b[0m [autoscaler] Downscaling node i-0b5c2c9a5a27cfba2 (node IP: 10.0.27.32) due to node idle termination.\n", - "\u001b[36m(autoscaler +6m52s)\u001b[0m [autoscaler] Cluster resized to {56 CPU, 4 GPU}.\n" + "\u001b[36m(autoscaler +1m10s)\u001b[0m [autoscaler] Cluster upscaled to {56 CPU, 4 GPU}.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=3337, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-08-28 05:03:39,362\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_6_0 execution finished in 163.60 seconds\n", + "2025-08-28 05:03:39,422\tINFO dataset.py:4871 -- Data sink Parquet finished. 2880 rows and 5.8MB data written.\n" ] } ], @@ -718,12 +727,12 @@ "output_type": "stream", "text": [ "Output\n", - "(anyscale +0.9s) Submitting job with config JobConfig(name='image-batch-embeddings', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", - "(anyscale +3.0s) Uploading local dir '/home/ray/default' to cloud storage.\n", - "(anyscale +4.2s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", - "(anyscale +5.2s) Job 'image-batch-embeddings' submitted, ID: 'prodjob_cmhr6w7l9fb42be6xjsz1rnxsl'.\n", - "(anyscale +5.2s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_cmhr6w7l9fb42be6xjsz1rnxsl\n", - "(anyscale +5.2s) Use `--wait` to wait for the job to run and stream logs.\n" + "(anyscale +0.8s) Submitting job with config JobConfig(name='image-batch-embeddings', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", + "(anyscale +7.2s) Uploading local dir '/home/ray/default' to cloud storage.\n", + "(anyscale +7.9s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", + "(anyscale +9.2s) Job 'image-batch-embeddings' submitted, ID: 'prodjob_7e1fsj9xzs2iryayj7hgbhifl8'.\n", + "(anyscale +9.2s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_7e1fsj9xzs2iryayj7hgbhifl8\n", + "(anyscale +9.2s) Use `--wait` to wait for the job to run and stream logs.\n" ] } ], @@ -790,6 +799,118 @@ "Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" ] }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "91c47446fb224d72987f0f9b4c9c5e90", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "preprocessor_config.json: 0%| | 0.00/316 [00:00 TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" + "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/datasource/parquet_datasource.py:750: FutureWarning: The default `file_extensions` for `read_parquet` will change from `None` to ['parquet'] after Ray 2.43, and your dataset contains files that don't match the new `file_extensions`. To maintain backwards compatibility, set `file_extensions=None` explicitly.\n", + " warnings.warn(\n", + "2025-08-28 05:03:56,303\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_8_0\n", + "2025-08-28 05:03:56,308\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_8_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:03:56,309\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_8_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7b04bc8e4d444e82950af699e0891b1e", + "model_id": "5d82b793825b412c9ab72693c6fb92ce", "version_major": 2, "version_minor": 0 }, @@ -847,7 +964,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5c7fffbb6cf44a29904a90f20015ab9b", + "model_id": "bdd005beb194490e8c641ef7548fdf09", "version_major": 2, "version_minor": 0 }, @@ -861,7 +978,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "57a3c6fc76d448b49941e9459d88b051", + "model_id": "884a8230054a42c88e655c178827a68f", "version_major": 2, "version_minor": 0 }, @@ -872,11 +989,25 @@ "metadata": {}, "output_type": "display_data" }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6f2d6a1e74fd41f6a9be6c2fefdadf64", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "model.safetensors: 0%| | 0.00/605M [00:00\n", " \n", " Ray version:\n", - " 2.48.0\n", + " 2.49.0\n", " \n", " \n", " Dashboard:\n", - " http://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com\n", + " http://session-jhxhj69d6ttkjctcxfnsfe7gwk.i.anyscaleuserdata.com\n", "\n", "\n", "\n", @@ -157,7 +157,7 @@ "
    \n" ], "text/plain": [ - "RayContext(dashboard_url='session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.48.0', ray_commit='61d1966b0b02ce07f95d8f046ea7f6f92f7be190')" + "RayContext(dashboard_url='session-jhxhj69d6ttkjctcxfnsfe7gwk.i.anyscaleuserdata.com', python_version='3.12.11', ray_version='2.49.0', ray_commit='8b349d73c5d5c4b56dc719fcc447d18ae8571dd4')" ] }, "execution_count": null, @@ -337,16 +337,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:26:17,487\tINFO dataset.py:3057 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", - "2025-08-22 00:26:17,490\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_72_0\n", - "2025-08-22 00:26:17,522\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_72_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:26:17,523\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_72_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-08-28 05:06:54,182\tINFO dataset.py:3248 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n", + "2025-08-28 05:06:54,184\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_14_0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-08-28 05:06:54,206\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_14_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:06:54,207\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_14_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "aa17a81a379547a6b397907ffafec33b", + "model_id": "66271b6a5fb7493998bb818d81eb9d12", "version_major": 2, "version_minor": 0 }, @@ -360,7 +366,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "08f021fb0f014335ab09e4baf362d6c3", + "model_id": "342323504f9046f5ab79cc8fab75fd3d", "version_major": 2, "version_minor": 0 }, @@ -374,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bb9749220ab644db83ab9ac57348c6df", + "model_id": "4ad27f68f4954b839ec614deb470dc2c", "version_major": 2, "version_minor": 0 }, @@ -388,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cd4f59d163149d8b1200348eaabebab", + "model_id": "ec8f2f8c07134885bcf1e339079e5602", "version_major": 2, "version_minor": 0 }, @@ -402,7 +408,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9a7fe9e6350a4ce88f4c4a12c3e83fc1", + "model_id": "8af9685130484d73bdcc36ff9a7b6742", "version_major": 2, "version_minor": 0 }, @@ -416,7 +422,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38470d9ffbeb4f4ca11c2c7d4e70886b", + "model_id": "8e2ff9a70b3047b78d3421a9c6ba4a2a", "version_major": 2, "version_minor": 0 }, @@ -430,7 +436,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ea5ecfb1d6fb4eadb1d55130cdf0ec04", + "model_id": "5d47b1e760004a8ba310e0cda5de47f0", "version_major": 2, "version_minor": 0 }, @@ -444,7 +450,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e75cd967f3494a7cad6204c9f523ccad", + "model_id": "d4a4b8c2fd3240a1ad46f9abd4869497", "version_major": 2, "version_minor": 0 }, @@ -458,7 +464,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "37294f34620d4ed99e4c6db7f489e870", + "model_id": "c881bfe545de4d8e9384ad4a4c4a3346", "version_major": 2, "version_minor": 0 }, @@ -473,8 +479,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:26:17,662\tWARNING resource_manager.py:130 -- ⚠️ Ray's object store is configured to use only 28.2% of available memory (67.8GB out of 240.5GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", - "2025-08-22 00:26:29,748\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_72_0 execution finished in 12.22 seconds\n" + "2025-08-28 05:06:54,275\tWARNING resource_manager.py:134 -- ⚠️ Ray's object store is configured to use only 28.5% of available memory (63.9GiB out of 224.0GiB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", + "2025-08-28 05:07:03,480\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_14_0 execution finished in 9.27 seconds\n" ] } ], @@ -513,15 +519,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:26:30,402\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_80_0\n", - "2025-08-22 00:26:30,433\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_80_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:26:30,435\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_80_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "2025-08-28 05:07:04,254\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_22_0\n", + "2025-08-28 05:07:04,270\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_22_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:07:04,271\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_22_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9a4fc2809c524fdea65f33187089279c", + "model_id": "05ab1c63234c4c779fbca8267b744477", "version_major": 2, "version_minor": 0 }, @@ -535,7 +541,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7ed00402d404430596be9d367c53de16", + "model_id": "310392fbcf7f4b50bc122405fdfdaaac", "version_major": 2, "version_minor": 0 }, @@ -549,7 +555,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cb833a76da3245a0bfcf5d7d7959e847", + "model_id": "b600d27a67dc42159f5a97a445538560", "version_major": 2, "version_minor": 0 }, @@ -563,7 +569,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c2223e2ee8e046079a76f8cdcef8abf5", + "model_id": "fbb9d22bf6c74df7b21af88c7363adad", "version_major": 2, "version_minor": 0 }, @@ -577,7 +583,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "14d3a76ba8f84b3ba6729d43dcd221d8", + "model_id": "5b6f5b9affbb4f458851974ec2811594", "version_major": 2, "version_minor": 0 }, @@ -591,7 +597,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b5ea2e535b04e95b3bb8739e478a678", + "model_id": "936041324dbb49dda5872a3e6d3fa979", "version_major": 2, "version_minor": 0 }, @@ -602,35 +608,22 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +25s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n", - "\u001b[36m(autoscaler +25s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", - "\u001b[36m(autoscaler +30s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", - "\u001b[36m(autoscaler +1m15s)\u001b[0m [autoscaler] Cluster upscaled to {104 CPU, 8 GPU}.\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=3320, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=44781, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\n", - "\u001b[36m(_MapWorker pid=3323, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=44781, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 32x across cluster]\u001b[0m\n", - "2025-08-22 00:29:10,480\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_80_0 execution finished in 160.04 seconds\n", - "2025-08-22 00:29:10,570\tINFO dataset.py:4621 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", - "2025-08-22 00:29:10,582\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_83_0\n", - "2025-08-22 00:29:10,601\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_83_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:29:10,603\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_83_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=9215, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-08-28 05:07:20,682\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_22_0 execution finished in 16.41 seconds\n", + "2025-08-28 05:07:20,747\tINFO dataset.py:4871 -- Data sink Parquet finished. 2880 rows and 5.9MB data written.\n", + "2025-08-28 05:07:20,759\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_25_0\n", + "2025-08-28 05:07:20,774\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_25_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:07:20,775\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_25_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)->Write]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0abbbeeb2a35431a95d00c4c921ee61b", + "model_id": "cb6abfa554bd48a8a91f6bf67b72321d", "version_major": 2, "version_minor": 0 }, @@ -644,7 +637,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bf9288444a51499a8b1083a1b784b210", + "model_id": "ebd4d9a7ce0e494cbd256531e82c76a0", "version_major": 2, "version_minor": 0 }, @@ -658,7 +651,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8ec81536f155464c9a2ecf135cf83d80", + "model_id": "bbf925aa09a9434d9a0e1b0a0434a977", "version_major": 2, "version_minor": 0 }, @@ -672,7 +665,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "512fded93ca04523b3ed812aec1ada77", + "model_id": "c061d8e4bee4444fa9d1ddfafa9f99bc", "version_major": 2, "version_minor": 0 }, @@ -686,7 +679,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b3b9c393001d49f4b0535b625a132edb", + "model_id": "47cb0744205149d1860913bf2124338d", "version_major": 2, "version_minor": 0 }, @@ -700,7 +693,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5f38287bfd4b4795a3839f44b0d2b1a8", + "model_id": "a68e006347144beca6b0593d148d0f8d", "version_major": 2, "version_minor": 0 }, @@ -715,36 +708,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:29:12,374\tWARNING streaming_executor_state.py:764 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", + "2025-08-28 05:07:22,417\tWARNING streaming_executor_state.py:790 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", "path: string, new schema: image: extension>\n", "path: string. This may lead to unexpected behavior.\n", - "2025-08-22 00:29:13,110\tWARNING streaming_executor_state.py:764 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", + "2025-08-28 05:07:22,642\tWARNING streaming_executor_state.py:790 -- Operator produced a RefBundle with a different schema than the previous one. Previous schema: image: extension>\n", "path: string\n", "class: string\n", "label: int64, new schema: image: extension>\n", "path: string\n", "class: string\n", "label: int64. This may lead to unexpected behavior.\n", - "\u001b[36m(_MapWorker pid=3910, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=121066)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 7x across cluster]\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +3m10s)\u001b[0m [autoscaler] [8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", - "\u001b[36m(autoscaler +3m10s)\u001b[0m [autoscaler] [8CPU-32GB|m5.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(_MapWorker pid=4731, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(drop_columns)->Write pid=45557, ip=10.0.171.239)\u001b[0m FilenameProvider have to provide proper filename template including '{{i}}' macro to ensure unique filenames when writing multiple files. Appending '{{i}}' macro to the end of the file. For more details on the expected filename template checkout PyArrow's `write_to_dataset` API\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "2025-08-22 00:29:24,485\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_83_0 execution finished in 13.88 seconds\n", - "2025-08-22 00:29:24,531\tINFO dataset.py:4621 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=23307, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 4x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "2025-08-28 05:07:33,184\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_25_0 execution finished in 12.41 seconds\n", + "2025-08-28 05:07:33,214\tINFO dataset.py:4871 -- Data sink Parquet finished. 720 rows and 1.5MB data written.\n" ] } ], @@ -941,21 +917,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:29:25,511\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_85_0\n", - "2025-08-22 00:29:25,523\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_85_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-22 00:29:25,524\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_85_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" + "2025-08-28 05:07:34,380\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_27_0\n", + "2025-08-28 05:07:34,394\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_27_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:07:34,395\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_27_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> LimitOperator[limit=3]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c596b6e4878f41a9ac527bfb3925c95e", + "model_id": "a81b12e57aba4dc3b16c2fafcb91cade", "version_major": 2, "version_minor": 0 }, @@ -969,7 +939,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "124f996b75cd452d89bb404100035d45", + "model_id": "c176ff7a83b54b9b99fc7f5dc12e92c7", "version_major": 2, "version_minor": 0 }, @@ -983,7 +953,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f76037bae4334040bf81176c7ddab96d", + "model_id": "59f86a3defeb41de9be9874b6ae8a234", "version_major": 2, "version_minor": 0 }, @@ -997,7 +967,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "323cdef1b95f405da16d7478a2295072", + "model_id": "1acb1ef77faf42119ee3702dcaa2bcd7", "version_major": 2, "version_minor": 0 }, @@ -1011,7 +981,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2f9da19c9b7046b68d748780426d7886", + "model_id": "59526fe14e3a41cd8abb44b306127a7d", "version_major": 2, "version_minor": 0 }, @@ -1025,7 +995,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3ff417b842ae472f8ef0e640443d3897", + "model_id": "98c20dcbec0b4cb8871a4635a3d02815", "version_major": 2, "version_minor": 0 }, @@ -1039,7 +1009,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b3b34ef888164ae8a618828d9832fd8f", + "model_id": "09f2cbe0afe04bc1a046e4e45a387fc1", "version_major": 2, "version_minor": 0 }, @@ -1054,19 +1024,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=4911, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "2025-08-22 00:29:36,437\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_85_0 execution finished in 10.91 seconds\n", - "/tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=26114, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "2025-08-28 05:07:45,755\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_27_0 execution finished in 11.36 seconds\n", + "/tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", " tensor_batch[key] = torch.as_tensor(\n" ] }, { "data": { "text/plain": [ - "{'embedding': tensor([[ 0.4219, 0.3688, -0.1833, ..., 0.6288, 0.2298, -0.3989],\n", - " [ 0.0385, 0.3297, 0.2076, ..., 0.3434, -0.5492, 0.0362],\n", - " [ 0.1881, 0.1737, -0.3069, ..., 0.3336, 0.1783, -0.0299]]),\n", - " 'label': tensor([11, 34, 7])}" + "{'embedding': tensor([[ 0.0245, 0.6505, 0.0627, ..., 0.4001, -0.2721, -0.0673],\n", + " [-0.2416, 0.2315, 0.0255, ..., 0.4065, 0.2805, -0.1156],\n", + " [-0.2301, -0.3628, 0.1086, ..., 0.3038, 0.0543, 0.6214]]),\n", + " 'label': tensor([10, 29, 27])}" ] }, "execution_count": null, @@ -1321,7 +1291,16 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/datasource/parquet_datasource.py:750: FutureWarning: The default `file_extensions` for `read_parquet` will change from `None` to ['parquet'] after Ray 2.43, and your dataset contains files that don't match the new `file_extensions`. To maintain backwards compatibility, set `file_extensions=None` explicitly.\n", + " warnings.warn(\n" + ] + } + ], "source": [ "# Load preprocessed datasets.\n", "preprocessed_train_ds = ray.data.read_parquet(preprocessed_train_path)\n", @@ -1345,2523 +1324,155 @@ ")\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Train.\n", + "results = trainer.fit()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ray Train" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- automatically handles **multi-node, multi-GPU** setup with no manual SSH setup or hostfile configs. \n", + "- define **per-worker fractional resource requirements**, for example, 2 CPUs and 0.5 GPU per worker.\n", + "- run on **heterogeneous machines** and scale flexibly, for example, CPU for preprocessing and GPU for training. \n", + "- built-in **fault tolerance** with retry of failed workers and continue from last checkpoint.\n", + "- supports Data Parallel, Model Parallel, Parameter Server, and even custom strategies.\n", + "- [Ray Compiled graphs](https://docs.ray.io/en/latest/ray-core/compiled-graph/ray-compiled-graph.html) allow you to even define different parallelism for jointly optimizing multiple models like Megatron, DeepSpeed, etc., or only allow for one global setting.\n", + "- You can also use Torch DDP, FSPD, DeepSpeed, etc., under the hood." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "🔥 [RayTurbo Train](https://docs.anyscale.com/rayturbo/rayturbo-train) offers even more improvement to the price-performance ratio, performance monitoring and more:\n", + "- **elastic training** to scale to a dynamic number of workers, continue training on fewer resources, even on spot instances.\n", + "- **purpose-built dashboard** designed to streamline the debugging of Ray Train workloads:\n", + " - Monitoring: View the status of training runs and train workers.\n", + " - Metrics: See insights on training throughput and training system operation time.\n", + " - Profiling: Investigate bottlenecks, hangs, or errors from individual training worker processes.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can view experiment metrics and model artifacts in the model registry. You're using OSS MLflow so you can run the server by pointing to the model registry location:\n", + "\n", + "```bash\n", + "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/cluster_storage/mlflow/doggos\n", + "```\n", + "\n", + "You can view the dashboard by going to the **Overview tab** > **Open Ports**. \n", + "\n", + "\n", + "\n", + "You also have the preceding Ray Dashboard and Train workload specific dashboards.\n", + "\n", + "\n" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] INITIALIZING -> SCHEDULING.\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m Attempting to start training worker group of size 4 with the following resources: [{'CPU': 8, 'GPU': 2, 'accelerator_type:T4': 0.001}] * 4\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m Using blocking ray.get inside async actor. This blocks the event loop. Please use `await` on object ref with asyncio.gather if you want to yield execution to the event loop instead.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +3m40s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +3m40s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", - "\u001b[36m(autoscaler +3m45s)\u001b[0m [autoscaler] Cluster upscaled to {112 CPU, 8 GPU}.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(TrainController pid=125066)\u001b[0m Retrying the launch of the training worker group. The previous launch attempt encountered the following failure:\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m The worker group startup timed out after 30.0 seconds waiting for 4 workers. Potential causes include: (1) temporary insufficient cluster resources while waiting for autoscaling (ignore this warning in this case), (2) infeasible resource request where the provided `ScalingConfig` cannot be satisfied), and (3) transient network issues. Set the RAY_TRAIN_WORKER_GROUP_START_TIMEOUT_S environment variable to increase the timeout.\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] SCHEDULING -> RESCHEDULING.\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] RESCHEDULING -> SCHEDULING.\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m Attempting to start training worker group of size 4 with the following resources: [{'CPU': 8, 'GPU': 2, 'accelerator_type:T4': 0.001}] * 4\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +4m30s)\u001b[0m [autoscaler] Cluster upscaled to {160 CPU, 12 GPU}.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Setting up process group for: env:// [rank=0, world_size=4]\n", - "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m Moving model to device: cuda:0\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m Started training worker group of size 4: \n", - "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.34.27, pid=3319) world_rank=0, local_rank=0, node_rank=0\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.34.27, pid=3320) world_rank=1, local_rank=1, node_rank=0\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.4.102, pid=16056) world_rank=2, local_rank=0, node_rank=1\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m - (ip=10.0.4.102, pid=16055) world_rank=3, local_rank=1, node_rank=1\n", - "\u001b[36m(TrainController pid=125066)\u001b[0m [State Transition] SCHEDULING -> RUNNING.\n", - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m 2025/08/22 00:32:11 INFO mlflow.tracking.fluent: Experiment with name 'doggos' does not exist. Creating a new experiment.\n", - "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m Wrapping provided model in DistributedDataParallel.\n", - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py:445: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\n", - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m warnings.warn(\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2f9b807b07e24754b872e832186a7ecc", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "477c2f56fd9e4c31974d33eec3c722a0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3b3d7e99c85a496ebad1cba791a6bcd1", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2263907df3504600a2281cb5bb1feb81", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" + "run_id d54aa07059384d139ea572123ae9409c\n", + "experiment_id 653138458592289747\n", + "status FINISHED\n", + "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/6531...\n", + "start_time 2025-08-28 05:10:15.049000+00:00\n", + "end_time 2025-08-28 05:10:33.936000+00:00\n", + "metrics.lr 0.001\n", + "metrics.val_loss 0.778273\n", + "metrics.train_loss 0.39104\n", + "params.lr_factor 0.8\n", + "params.hidden_dim 256\n", + "params.embedding_dim 512\n", + "params.dropout_p 0.3\n", + "params.experiment_name doggos\n", + "params.batch_size 256\n", + "params.lr 0.001\n", + "params.num_classes 36\n", + "params.class_to_label {'pomeranian': 0, 'rottweiler': 1, 'boxer': 2,...\n", + "params.num_epochs 20\n", + "params.lr_patience 3\n", + "params.model_registry /mnt/cluster_storage/mlflow/doggos\n", + "tags.mlflow.source.name /home/ray/anaconda3/lib/python3.12/site-packag...\n", + "tags.mlflow.source.type LOCAL\n", + "tags.mlflow.runName judicious-panda-916\n", + "tags.mlflow.user ray\n", + "Name: 0, dtype: object" ] }, + "execution_count": null, "metadata": {}, - "output_type": "display_data" - }, + "output_type": "execute_result" + } + ], + "source": [ + "# Sorted runs\n", + "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", + "sorted_runs = mlflow.search_runs(\n", + " experiment_names=[experiment_name], \n", + " order_by=[\"metrics.val_loss ASC\"])\n", + "best_run = sorted_runs.iloc[0]\n", + "best_run\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Production Job" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can easily wrap the training workload as a production grade [Anyscale Job](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)).\n", + "\n", + "**Note**: \n", + "- This Job uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", + "- You can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", + "- When you don't specify compute while launching from a workspace, this configuration defaults to the compute configuration of the workspace." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Registered dataset logger for dataset train_88_0\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Starting execution of Dataset train_88_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Execution plan of Dataset train_88_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> OutputSplitter[split(4, equal=True)]\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m ⚠️ Ray's object store is configured to use only 28.5% of available memory (195.9GB out of 687.2GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n", - "\u001b[36m(RayTrainWorker pid=16056, ip=10.0.4.102)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Moving model to device: cuda:0\n", - "\u001b[36m(RayTrainWorker pid=3319, ip=10.0.34.27)\u001b[0m Wrapping provided model in DistributedDataParallel.\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m ✔️ Dataset train_88_0 execution finished in 2.84 seconds\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "dbfdddd23f0a43658486e78ef5db13ec", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4a0cd95efca346bcbd9c962648fb8d18", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9d0c2a55758742729e3e4c41aff6daf7", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fbab3701238a4fc3a295d6116e1908f4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8cca0efc0fdf42309956588e2ebad8d9", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c4a5eedd70c540c68156ae60bd821773", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "692887626f444deaa309ee332a270796", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "364d9c81b14d44b18703999214217018", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(RayTrainWorker pid=16055, ip=10.0.4.102)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py:445: RayDeprecationWarning: Passing a function to `iter_torch_batches(collate_fn)` is deprecated in Ray 2.47. Please switch to using a callable class that inherits from `ArrowBatchCollateFn`, `NumpyBatchCollateFn`, or `PandasBatchCollateFn`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(RayTrainWorker pid=16055, ip=10.0.4.102)\u001b[0m warnings.warn(\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Registered dataset logger for dataset train_88_1\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Starting execution of Dataset train_88_1. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(SplitCoordinator pid=125821)\u001b[0m Execution plan of Dataset train_88_1: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> OutputSplitter[split(4, equal=True)]\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(SplitCoordinator pid=125822)\u001b[0m ⚠️ Ray's object store is configured to use only 28.5% of available memory (195.9GB out of 687.2GB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c94637fd36f7408887c53978632c81d6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d9c770c92271481e824deabb97479d02", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e9394ea598c44b8eaed72c3a567e8f80", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "78f5d148c07843d6ba79aa4443fac4c2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f3c0cca34393418db7a85bf3b5da8de0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1cf9d449bed34bd58633604913c4b6da", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0f9207fa9fe74fb480d20ab6792412e8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d2d38403e0ea479c8745ba86e479e5b6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9245ec966b7142a39ccc3fb881ea1895", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "547f6b9e985a4fbf942e01dd9687245d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "03a5c5eeddbc4c0dbc4b2ae694a2cf23", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a12199d167f24ecab2b9dfe37adafee1", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125822) - split(4, equal=True) 3: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f4a3036c6d42495db3704671a5913e97", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) Running 0: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(RayTrainWorker pid=3320, ip=10.0.34.27)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(SplitCoordinator pid=125822)\u001b[0m ✔️ Dataset val_89_2 execution finished in 0.14 seconds\u001b[32m [repeated 5x across cluster]\u001b[0m\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8daad09e465a4c95b282f6bff58488c4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ListFiles 1: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1c61f75ca7ca467c8995ea64d5fbe622", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - ReadFiles 2: 0.00 row [00:00, ? row/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9686329d65264f15b583f6a26966ca46", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "(pid=125821) - split(4, equal=True) 3: 0.00 row [00:00, ? 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You're using OSS MLflow so you can run the server by pointing to the model registry location:\n", - "\n", - "```bash\n", - "mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri /mnt/cluster_storage/mlflow/doggos\n", - "```\n", - "\n", - "You can view the dashboard by going to the **Overview tab** > **Open Ports**. \n", - "\n", - "\n", - "\n", - "You also have the preceding Ray Dashboard and Train workload specific dashboards.\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "run_id fcb9ef8c96f844f08bcd0185601f3dbd\n", - "experiment_id 858816514880031760\n", - "status FINISHED\n", - "artifact_uri file:///mnt/cluster_storage/mlflow/doggos/8588...\n", - "start_time 2025-08-22 00:32:11.522000+00:00\n", - "end_time 2025-08-22 00:32:32.895000+00:00\n", - "metrics.train_loss 0.35504\n", - "metrics.val_loss 0.593301\n", - "metrics.lr 0.001\n", - "params.lr_patience 3\n", - "params.dropout_p 0.3\n", - "params.num_epochs 20\n", - "params.lr 0.001\n", - "params.num_classes 36\n", - "params.hidden_dim 256\n", - "params.experiment_name doggos\n", - "params.batch_size 256\n", - "params.model_registry /mnt/cluster_storage/mlflow/doggos\n", - "params.class_to_label {'border_collie': 0, 'pomeranian': 1, 'basset'...\n", - "params.lr_factor 0.8\n", - "params.embedding_dim 512\n", - "tags.mlflow.user ray\n", - "tags.mlflow.source.type LOCAL\n", - "tags.mlflow.runName enthused-donkey-931\n", - "tags.mlflow.source.name /home/ray/anaconda3/lib/python3.12/site-packag...\n", - "Name: 0, dtype: object" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Sorted runs\n", - "mlflow.set_tracking_uri(f\"file:{model_registry}\")\n", - "sorted_runs = mlflow.search_runs(\n", - " experiment_names=[experiment_name], \n", - " order_by=[\"metrics.val_loss ASC\"])\n", - "best_run = sorted_runs.iloc[0]\n", - "best_run\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Production Job" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can easily wrap the training workload as a production grade [Anyscale Job](https://docs.anyscale.com/platform/jobs/) ([API ref](https://docs.anyscale.com/reference/job-api/)).\n", - "\n", - "**Note**: \n", - "- This Job uses a `containerfile` to define dependencies, but you could easily use a pre-built image as well.\n", - "- You can specify the compute as a [compute config](https://docs.anyscale.com/configuration/compute-configuration/) or inline in a [job config](https://docs.anyscale.com/reference/job-api#job-cli) file.\n", - "- When you don't specify compute while launching from a workspace, this configuration defaults to the compute configuration of the workspace." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Output\n", - "(anyscale +0.9s) Submitting job with config JobConfig(name='train-image-model', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", - "(anyscale +2.8s) Uploading local dir '/home/ray/default' to cloud storage.\n", - "(anyscale +4.3s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", - "(anyscale +5.4s) Job 'train-image-model' submitted, ID: 'prodjob_ac1sxbql2i2vah66k2462bhxie'.\n", - "(anyscale +5.4s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_ac1sxbql2i2vah66k2462bhxie\n", - "(anyscale +5.4s) Use `--wait` to wait for the job to run and stream logs.\n" + "Output\n", + "(anyscale +0.8s) Submitting job with config JobConfig(name='train-image-model', image_uri='anyscale/ray:2.48.0-slim-py312-cu128', compute_config=None, env_vars=None, py_modules=['/home/ray/default/doggos'], py_executable=None, cloud=None, project=None, ray_version=None, job_queue_config=None).\n", + "(anyscale +3.0s) Uploading local dir '/home/ray/default' to cloud storage.\n", + "(anyscale +3.8s) Uploading local dir '/home/ray/default/doggos' to cloud storage.\n", + "(anyscale +4.9s) Job 'train-image-model' submitted, ID: 'prodjob_zfy5ak9a5masjb4vuidtxvxpqt'.\n", + "(anyscale +4.9s) View the job in the UI: https://console.anyscale.com/jobs/prodjob_zfy5ak9a5masjb4vuidtxvxpqt\n", + "(anyscale +4.9s) Use `--wait` to wait for the job to run and stream logs.\n" ] } ], @@ -3966,15 +1577,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:34:12,802\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_96_0\n", - "2025-08-22 00:34:12,814\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_96_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:34:12,815\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_96_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" + "2025-08-28 05:10:42,369\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_40_0\n", + "2025-08-28 05:10:42,388\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_40_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:10:42,388\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_40_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "50d1c62a744146a398da57614e787e8c", + "model_id": "9c8deb98ca3d40cd8aea0fdaaa3abadc", "version_major": 2, "version_minor": 0 }, @@ -3988,7 +1599,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2d9b9453d0f40928a76a188f7a30eb4", + "model_id": "34c194e15c044a308d3d89e3c99414be", "version_major": 2, "version_minor": 0 }, @@ -4002,7 +1613,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "85b1f60100d8451995792b7da3f8ac83", + "model_id": "7c6efd5cc49744a594a647449d67e6c5", "version_major": 2, "version_minor": 0 }, @@ -4016,7 +1627,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d6f46bc81e674ba38e39f807dae62551", + "model_id": "e9edf72e22d64cf6adaeda87459d0c0b", "version_major": 2, "version_minor": 0 }, @@ -4030,7 +1641,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9133c6ae847f4d52955482803d33c67f", + "model_id": "1fd89ff72f0e42689114fc21b8748658", "version_major": 2, "version_minor": 0 }, @@ -4044,7 +1655,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9ecc392709b442f4b123fcad7fc7e60b", + "model_id": "984b6bbdeaee4207aaa18b88cbaa2691", "version_major": 2, "version_minor": 0 }, @@ -4058,7 +1669,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5df8844d4afa424f8e750c4b362e3667", + "model_id": "6dca7e9346d34396b3d758f7e8eb34f6", "version_major": 2, "version_minor": 0 }, @@ -4072,7 +1683,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d2838a72543d43f4a41520dc98f9dd57", + "model_id": "cd539308a7ef471f927d664745cebb49", "version_major": 2, "version_minor": 0 }, @@ -4087,26 +1698,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=18066, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +8m20s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB] Attempting to add 1 node to the cluster (increasing from 0 to 1).\n", - "\u001b[36m(autoscaler +8m25s)\u001b[0m [autoscaler] [1xT4:8CPU-32GB|g4dn.2xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n", - "\u001b[36m(autoscaler +8m25s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB] Attempting to add 1 node to the cluster (increasing from 1 to 2).\n", - "\u001b[36m(autoscaler +8m30s)\u001b[0m [autoscaler] [4xT4:48CPU-192GB|g4dn.12xlarge] [us-west-2a] [on-demand] Launched 1 instance.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(MapBatches(TorchPredictor) pid=19185, ip=10.0.4.102)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=18062, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "2025-08-22 00:34:50,050\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_96_0 execution finished in 37.23 seconds\n" + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=33395, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=34104, ip=10.0.5.252)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=6674, ip=10.0.5.20)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "2025-08-28 05:10:59,374\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_40_0 execution finished in 16.98 seconds\n" ] }, { @@ -4114,7 +1709,7 @@ "text/plain": [ "[{'path': 'doggos-dataset/test/basset/basset_10005.jpg',\n", " 'class': 'basset',\n", - " 'label': 2,\n", + " 'label': 30,\n", " 'embedding': array([ 8.86104554e-02, -5.89382686e-02, 1.15464866e-01, 2.15815112e-01,\n", " -3.43266308e-01, -3.35150540e-01, 1.48883224e-01, -1.02369718e-01,\n", " -1.69915810e-01, 4.34856862e-03, 2.41593361e-01, 1.79200619e-01,\n", @@ -4292,21 +1887,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:34:50,290\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_99_0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-22 00:34:50,303\tINFO streaming_executor.py:117 -- Starting execution of Dataset dataset_99_0. Full logs are in /tmp/ray/session_2025-08-21_18-48-13_464408_2298/logs/ray-data\n", - "2025-08-22 00:34:50,304\tINFO streaming_executor.py:118 -- Execution plan of Dataset dataset_99_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" + "2025-08-28 05:10:59,627\tINFO logging.py:295 -- Registered dataset logger for dataset dataset_43_0\n", + "2025-08-28 05:10:59,639\tINFO streaming_executor.py:159 -- Starting execution of Dataset dataset_43_0. Full logs are in /tmp/ray/session_2025-08-28_04-57-43_348032_12595/logs/ray-data\n", + "2025-08-28 05:10:59,640\tINFO streaming_executor.py:160 -- Execution plan of Dataset dataset_43_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(add_class)->Map(convert_to_label)] -> ActorPoolMapOperator[MapBatches(EmbedImages)] -> TaskPoolMapOperator[MapBatches(drop_columns)] -> TaskPoolMapOperator[MapBatches(TorchPredictor)] -> TaskPoolMapOperator[MapBatches(batch_metric)] -> AllToAllOperator[Aggregate] -> LimitOperator[limit=1]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1bf87bfd70924161a7f4f956a92eb23f", + "model_id": "d6accaaab88244f09ad25c06860ef15f", "version_major": 2, "version_minor": 0 }, @@ -4320,7 +1909,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2114df52a7ac4646aabfda7f7802a648", + "model_id": "b5716638e4bf437399f7192ed356d610", "version_major": 2, "version_minor": 0 }, @@ -4334,7 +1923,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d889fe01be0545939617a037455180df", + "model_id": "d691aeac306d4249ad7cb71172b81f5c", "version_major": 2, "version_minor": 0 }, @@ -4348,7 +1937,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e8b23a2321514f21a50825b660f670bf", + "model_id": "f9175ec54ce64fd18afcc7d2b31b2e4b", "version_major": 2, "version_minor": 0 }, @@ -4362,7 +1951,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "627c443e2450449c8683775fc89d7a8f", + "model_id": "ac75a05d32484b918a46a7c082a6c88a", "version_major": 2, "version_minor": 0 }, @@ -4376,7 +1965,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2d41291adfbf4c86817b203dc9e6f181", + "model_id": "e0f1ce17c2c54a9ea96762fc0004c543", "version_major": 2, "version_minor": 0 }, @@ -4390,7 +1979,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a2831719e1324270a3662420aff4c1e0", + "model_id": "b3fccdab34974505a9b518ff286f390f", "version_major": 2, "version_minor": 0 }, @@ -4404,7 +1993,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "120a18eec3a64dfda631fa6dbff06232", + "model_id": "3d9e617f49b847a0891fbbdb5185aae6", "version_major": 2, "version_minor": 0 }, @@ -4418,7 +2007,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "18834b310df94e338ad7ad76aaf77ec5", + "model_id": "52a0cd72c7be435894e9ad1981c50301", "version_major": 2, "version_minor": 0 }, @@ -4432,7 +2021,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "898fc65b6d6e491f9bd6dd33572f0d6d", + "model_id": "000b77243d824ddf8a2c199357ce6cf1", "version_major": 2, "version_minor": 0 }, @@ -4446,7 +2035,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7c7712b3872448c49f04dd6ed1af48f6", + "model_id": "51122559786d45c8856839c1818a7158", "version_major": 2, "version_minor": 0 }, @@ -4460,7 +2049,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "970b96aca5db4f1aab1e487105e61cae", + "model_id": "361ff1a618994ef2819407518534ecd7", "version_major": 2, "version_minor": 0 }, @@ -4474,7 +2063,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "aecfe233dbf249b7ab34fc9d26184bc5", + "model_id": "20681d4878dd485e8ca817c2ee333ccc", "version_major": 2, "version_minor": 0 }, @@ -4489,35 +2078,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(_MapWorker pid=19193, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(_MapWorker pid=25926, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 2x across cluster]\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +9m10s)\u001b[0m [autoscaler] Cluster upscaled to {120 CPU, 9 GPU}.\n", - "\u001b[36m(autoscaler +9m15s)\u001b[0m [autoscaler] Cluster upscaled to {168 CPU, 13 GPU}.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(MapBatches(TorchPredictor) pid=2582, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", - "\u001b[36m(_MapWorker pid=27577, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=2578, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=2576, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=3977, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=4229, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=2579, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=2581, ip=10.0.31.199)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5094, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5289, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5548, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(MapBatches(TorchPredictor) pid=5816, ip=10.0.60.138)\u001b[0m /tmp/ipykernel_120810/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "2025-08-22 00:38:03,968\tINFO streaming_executor.py:231 -- ✔️ Dataset dataset_99_0 execution finished in 193.66 seconds\n" + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=34103, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=8149, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n", + "\u001b[36m(MapWorker(MapBatches(EmbedImages)) pid=40389, ip=10.0.5.252)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=8263, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=8340, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=17879, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=18144, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=18411, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=18682, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=18950, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=19219, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(MapBatches(TorchPredictor) pid=19564, ip=10.0.5.20)\u001b[0m /tmp/ipykernel_31027/417303983.py:6: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "2025-08-28 05:12:20,741\tINFO streaming_executor.py:279 -- ✔️ Dataset dataset_43_0 execution finished in 81.10 seconds\n" ] } ], @@ -4553,101 +2126,6 @@ "F1: 0.84\n", "Accuracy: 0.98\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +13m0s)\u001b[0m [autoscaler] Downscaling node i-0ffe5abae6e899f5a (node IP: 10.0.60.138) due to node idle termination.\n", - "\u001b[36m(autoscaler +13m5s)\u001b[0m [autoscaler] Cluster resized to {120 CPU, 9 GPU}.\n", - "\u001b[36m(autoscaler +16m0s)\u001b[0m [autoscaler] Downscaling node i-0aa72cef9b8921af5 (node IP: 10.0.31.199) due to node idle termination.\n", - "\u001b[36m(autoscaler +16m5s)\u001b[0m [autoscaler] Cluster resized to {112 CPU, 8 GPU}.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Using CPython 3.12.11 interpreter at: /home/ray/anaconda3/bin/python3.12\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Creating virtual environment at: .venv\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Building doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow (6.3MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading grpcio (5.9MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sqlalchemy (3.2MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pydantic-core (1.9MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading jedi (1.5MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading virtualenv (5.7MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pandas (11.4MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading setuptools (1.1MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading uvloop (4.5MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-nvrtc-cu12 (22.6MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sympy (6.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading numpy (15.9MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading kiwisolver (1.4MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading tokenizers (3.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pyarrow (38.2MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading botocore (13.3MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading fonttools (4.7MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading widgetsnbextension (2.1MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow-skinny (5.6MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading aiohttp (1.6MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading networkx (1.9MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pygments (1.2MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading debugpy (4.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading py-spy (2.6MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scikit-learn (12.5MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading hf-xet (3.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading matplotlib (8.2MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading torch (783.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading transformers (10.0MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy (33.5MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars (36.7MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow (26.1MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton (148.5MiB)\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Built doggos @ file:///tmp/ray/session_2025-08-21_18-48-13_464408_2298/runtime_resources/working_dir_files/_ray_pkg_f79228c33bd2a431/doggos\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pillow\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading grpcio\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sqlalchemy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pydantic-core\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading jedi\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading virtualenv\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading setuptools\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading uvloop\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-cupti-cu12\u001b[32m [repeated 13x across cluster]\u001b[0m\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading sympy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading kiwisolver\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading tokenizers\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading fonttools\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading widgetsnbextension\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow-skinny\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading aiohttp\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading networkx\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pygments\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading debugpy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading py-spy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading hf-xet\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading matplotlib\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading transformers\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scikit-learn\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading numpy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading botocore\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pandas\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading polars\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cuda-nvrtc-cu12\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading scipy\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading mlflow\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading pyarrow\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-curand-cu12\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cusparselt-cu12\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading triton\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cublas-cu12\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading torch\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If the cache and target directories are on different filesystems, hardlinking may not be supported.\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Downloading nvidia-cudnn-cu12\n", - "\u001b[33m(raylet, ip=10.0.4.102)\u001b[0m Installed 172 packages in 1.96s\n" - ] } ], "source": [ diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb index 0dfd026ca0d8..d60d62c52c13 100644 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/notebooks/03-Online-Serving.ipynb @@ -25,9 +25,9 @@ "output_type": "stream", "text": [ "\u001b[92mSuccessfully registered `ipywidgets, matplotlib` and 4 other packages to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n", + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_23ry3pgfn3jgq2jk3e5z25udhz?workspace-tab=dependencies\u001b[0m\n", "\u001b[92mSuccessfully registered `doggos` package to be installed on all cluster nodes.\u001b[0m\n", - "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_1dp3fa7w5hu3i83ldsi7lqvp9t?workspace-tab=dependencies\u001b[0m\n" + "\u001b[92mView and update dependencies here: https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_23ry3pgfn3jgq2jk3e5z25udhz?workspace-tab=dependencies\u001b[0m\n" ] } ], @@ -278,26 +278,43 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-22 00:51:12,070\tINFO worker.py:1747 -- Connecting to existing Ray cluster at address: 10.0.52.10:6379...\n", - "2025-08-22 00:51:12,082\tINFO worker.py:1918 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-466hy7cqu1gzrp8zk8l4byz7l7.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", - "2025-08-22 00:51:12,091\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_bb1ea558d334a00804951688d29c76ff051341cc.zip' (1.11MiB) to Ray cluster...\n", - "2025-08-22 00:51:12,096\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_bb1ea558d334a00804951688d29c76ff051341cc.zip'.\n", - "INFO 2025-08-22 00:51:12,153 serve 133557 -- Connecting to existing Serve app in namespace \"serve\". New http options will not be applied.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,275 controller 61167 -- Deploying new version of Deployment(name='ClassPredictor', app='default') (initial target replicas: 1).\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,276 controller 61167 -- Deploying new version of Deployment(name='Doggos', app='default') (initial target replicas: 1).\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,400 controller 61167 -- Stopping 1 replicas of Deployment(name='ClassPredictor', app='default') with outdated versions.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,401 controller 61167 -- Adding 1 replica to Deployment(name='ClassPredictor', app='default').\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,403 controller 61167 -- Stopping 1 replicas of Deployment(name='Doggos', app='default') with outdated versions.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,404 controller 61167 -- Adding 1 replica to Deployment(name='Doggos', app='default').\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:12,489 controller 61167 -- Draining proxy on node '7cf4feced6fe6a3166528c758e7aea63f8414ff9b95e3f69304a0bbb'.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:14,489 controller 61167 -- Replica(id='m8hm2lqw', deployment='ClassPredictor', app='default') is stopped.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:14,491 controller 61167 -- Replica(id='r17z6dkp', deployment='Doggos', app='default') is stopped.\n", - "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:14,611 default_Doggos 0qpk1kw9 -- Direct ingress is disabled, skipping direct ingress server start\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", - "\u001b[36m(ServeController pid=61167)\u001b[0m INFO 2025-08-22 00:51:19,249 controller 61167 -- No longer draining proxy on node '7cf4feced6fe6a3166528c758e7aea63f8414ff9b95e3f69304a0bbb'.\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m INFO 2025-08-22 00:51:21,500 default_ClassPredictor qtsnu3yv -- Direct ingress is disabled, skipping direct ingress server start\n", - "INFO 2025-08-22 00:51:22,301 serve 133557 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", - "INFO 2025-08-22 00:51:22,313 serve 133557 -- Started .\n" + "2025-08-28 05:15:38,455\tINFO worker.py:1771 -- Connecting to existing Ray cluster at address: 10.0.17.148:6379...\n", + "2025-08-28 05:15:38,465\tINFO worker.py:1942 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-jhxhj69d6ttkjctcxfnsfe7gwk.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n", + "2025-08-28 05:15:38,471\tINFO packaging.py:588 -- Creating a file package for local module '/home/ray/default/doggos/doggos'.\n", + "2025-08-28 05:15:38,475\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_62e649352ce105b6.zip' (0.04MiB) to Ray cluster...\n", + "2025-08-28 05:15:38,476\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_62e649352ce105b6.zip'.\n", + "2025-08-28 05:15:38,478\tINFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_c3f5a1927d401ecc93333d17727d37c3401aeed9.zip' (1.08MiB) to Ray cluster...\n", + "2025-08-28 05:15:38,484\tINFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_c3f5a1927d401ecc93333d17727d37c3401aeed9.zip'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[36m(autoscaler +9s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36m(ProxyActor pid=42150)\u001b[0m INFO 2025-08-28 05:15:42,208 proxy 10.0.17.148 -- Proxy starting on node 524d54fa7a3dfe7fcd55149e6efeaa7a697a4ce87282da72073206b6 (HTTP port: 8000).\n", + "INFO 2025-08-28 05:15:42,290 serve 41929 -- Started Serve in namespace \"serve\".\n", + "\u001b[36m(ProxyActor pid=42150)\u001b[0m INFO 2025-08-28 05:15:42,286 proxy 10.0.17.148 -- Got updated endpoints: {}.\n", + "\u001b[36m(ServeController pid=42086)\u001b[0m INFO 2025-08-28 05:15:47,403 controller 42086 -- Deploying new version of Deployment(name='ClassPredictor', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ServeController pid=42086)\u001b[0m INFO 2025-08-28 05:15:47,404 controller 42086 -- Deploying new version of Deployment(name='Doggos', app='default') (initial target replicas: 1).\n", + "\u001b[36m(ProxyActor pid=42150)\u001b[0m INFO 2025-08-28 05:15:47,423 proxy 10.0.17.148 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", + "\u001b[36m(ProxyActor pid=42150)\u001b[0m WARNING 2025-08-28 05:15:47,430 proxy 10.0.17.148 -- ANYSCALE_RAY_SERVE_GRPC_RUN_PROXY_ROUTER_SEPARATE_LOOP has been deprecated and will be removed in the ray v2.50.0. Please use RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP instead.\n", + "\u001b[36m(ProxyActor pid=42150)\u001b[0m INFO 2025-08-28 05:15:47,434 proxy 10.0.17.148 -- Started .\n", + "\u001b[36m(ServeController pid=42086)\u001b[0m INFO 2025-08-28 05:15:47,524 controller 42086 -- Adding 1 replica to Deployment(name='ClassPredictor', app='default').\n", + "\u001b[36m(ServeController pid=42086)\u001b[0m INFO 2025-08-28 05:15:47,525 controller 42086 -- Adding 1 replica to Deployment(name='Doggos', app='default').\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=20055, ip=10.0.5.20)\u001b[0m Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.\n", + "\u001b[36m(ProxyActor pid=20172, ip=10.0.5.20)\u001b[0m INFO 2025-08-28 05:15:56,055 proxy 10.0.5.20 -- Proxy starting on node b84e244dca75c40ea981202cae7a1a06df9598ac29ad2b18e1bedb99 (HTTP port: 8000).\n", + "\u001b[36m(ProxyActor pid=20172, ip=10.0.5.20)\u001b[0m INFO 2025-08-28 05:15:56,131 proxy 10.0.5.20 -- Got updated endpoints: {Deployment(name='Doggos', app='default'): EndpointInfo(route='/', app_is_cross_language=False)}.\n", + "\u001b[36m(ProxyActor pid=20172, ip=10.0.5.20)\u001b[0m WARNING 2025-08-28 05:15:56,137 proxy 10.0.5.20 -- ANYSCALE_RAY_SERVE_GRPC_RUN_PROXY_ROUTER_SEPARATE_LOOP has been deprecated and will be removed in the ray v2.50.0. Please use RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP instead.\n", + "\u001b[36m(ProxyActor pid=20172, ip=10.0.5.20)\u001b[0m INFO 2025-08-28 05:15:56,141 proxy 10.0.5.20 -- Started .\n", + "INFO 2025-08-28 05:15:57,505 serve 41929 -- Application 'default' is ready at http://127.0.0.1:8000/.\n", + "INFO 2025-08-28 05:15:57,511 serve 41929 -- Started .\n" ] }, { @@ -325,17 +342,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/serve/_private/replica.py:1376: UserWarning: Calling sync method 'get_probabilities' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1.\n", - "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m warnings.warn(\n", - "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:22,490 default_Doggos 0qpk1kw9 daf11861-073e-4758-82b7-0b222066b668 -- Started .\n" + "\u001b[36m(ServeReplica:default:Doggos pid=42244)\u001b[0m INFO 2025-08-28 05:15:57,646 default_Doggos fs1weamq 31c15b70-89a9-4b2d-b4ab-f8424fe6d8d2 -- Started .\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=20055, ip=10.0.5.20)\u001b[0m /home/ray/anaconda3/lib/python3.12/site-packages/ray/serve/_private/replica.py:1397: UserWarning: Calling sync method 'get_probabilities' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1.\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=20055, ip=10.0.5.20)\u001b[0m warnings.warn(\n" ] }, { "data": { "text/plain": [ - "[('collie', 0.2292557954788208),\n", - " ('border_collie', 0.1228194534778595),\n", - " ('german_shepherd', 0.07383470982313156)]" + "[('border_collie', 0.1990548074245453),\n", + " ('collie', 0.1363961398601532),\n", + " ('german_shepherd', 0.07545585185289383)]" ] }, "execution_count": null, @@ -346,15 +363,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[36m(ServeReplica:default:ClassPredictor pid=30024, ip=10.0.4.102)\u001b[0m INFO 2025-08-22 00:51:23,011 default_ClassPredictor qtsnu3yv daf11861-073e-4758-82b7-0b222066b668 -- CALL /predict/ OK 504.9ms\n", - "\u001b[36m(ServeReplica:default:Doggos pid=133722)\u001b[0m INFO 2025-08-22 00:51:23,013 default_Doggos 0qpk1kw9 daf11861-073e-4758-82b7-0b222066b668 -- POST /predict/ 200 567.1ms\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36m(autoscaler +13m35s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n" + "\u001b[36m(ServeReplica:default:Doggos pid=42244)\u001b[0m INFO 2025-08-28 05:15:58,150 default_Doggos fs1weamq 31c15b70-89a9-4b2d-b4ab-f8424fe6d8d2 -- POST /predict/ 200 516.2ms\n", + "\u001b[36m(ServeReplica:default:ClassPredictor pid=20055, ip=10.0.5.20)\u001b[0m INFO 2025-08-28 05:15:58,148 default_ClassPredictor y7tebd3e 31c15b70-89a9-4b2d-b4ab-f8424fe6d8d2 -- CALL /predict/ OK 491.4ms\n" ] } ], diff --git a/release/ray_release/byod/byod_e2e_multimodal_ai_workloads.sh b/release/ray_release/byod/byod_e2e_multimodal_ai_workloads.sh index bda0ef917f47..05ff13248bd7 100755 --- a/release/ray_release/byod/byod_e2e_multimodal_ai_workloads.sh +++ b/release/ray_release/byod/byod_e2e_multimodal_ai_workloads.sh @@ -5,7 +5,7 @@ set -exo pipefail # Install Python dependencies pip3 install --no-cache-dir \ "matplotlib==3.10.0" \ - "torch==2.7.0" \ + "torch==2.7.1" \ "transformers==4.52.3" \ "scikit-learn==1.6.0" \ "mlflow==2.19.0" \ From f43ca1468bddf25455eb9f15034dc5f4cec59a05 Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Thu, 28 Aug 2025 16:10:10 -0700 Subject: [PATCH 0940/1566] [core][gpu-objects] Fix #55987 (#56021) Miscellaneous bug fixes introduced by some hidden merge conflicts: - Check whether NIXL is available on actors instead of checking whether a collective group has been created - Add back `tensor_transport_metadata` as an argument when coordinating transfers Closes #55987. --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/actor.py | 2 +- .../collective/collective_tensor_transport.py | 17 +++++++++++++ .../collective/nixl_tensor_transport.py | 22 +++++++++++++++++ .../collective/tensor_transport_manager.py | 24 +++++++++++++++++++ python/ray/experimental/collective/util.py | 18 +++++++++----- .../gpu_object_manager/gpu_object_manager.py | 9 ++++--- .../gpu_object_manager/gpu_object_store.py | 2 ++ python/ray/tests/test_gpu_objects_gloo.py | 2 +- 8 files changed, 85 insertions(+), 11 deletions(-) diff --git a/python/ray/actor.py b/python/ray/actor.py index 15b8df351618..64058ee0b728 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -831,7 +831,7 @@ def _remote( self._actor, tensor_transport ): raise ValueError( - f"{self._actor} does not have tensor transport {tensor_transport.name} available. Please create a communicator with " + f'{self._actor} does not have tensor transport {tensor_transport.name} available. If using a collective-based transport ("nccl" or "gloo"), please create a communicator with ' "`ray.experimental.collective.create_collective_group` " "before calling actor tasks with non-default tensor_transport." ) diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 2edb06d32072..1c0f84e05511 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -1,6 +1,7 @@ from typing import Optional, List, TYPE_CHECKING import ray +from ray.util.collective.types import Backend from ray.experimental.collective.tensor_transport_manager import ( TensorTransportManager, TensorTransportEnum, @@ -16,10 +17,25 @@ class CollectiveTensorTransport(TensorTransportManager): + def __init__(self, tensor_transport_backend: Backend): + self._tensor_transport_backend = tensor_transport_backend + + @property + def tensor_transport_backend(self) -> Backend: + return self._tensor_transport_backend + @staticmethod def is_one_sided() -> bool: return False + def actor_has_tensor_transport(self, actor: "ray.actor.ActorHandle") -> bool: + from ray.experimental.collective import get_collective_groups + + communicators = get_collective_groups( + [actor], backend=self.tensor_transport_backend + ) + return len(communicators) > 0 + @staticmethod def get_tensor_transport_metadata( src_actor: "ray.actor.ActorHandle", @@ -140,6 +156,7 @@ def recv_multiple_tensors( @staticmethod def send_multiple_tensors( tensors: List["torch.Tensor"], + tensor_transport_metadata: CollectiveTransportMetadata, communicator_metadata: CollectiveCommunicatorMetadata, ): import ray.util.collective as collective diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index dcedbc11bf41..b9938ccb8507 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -1,10 +1,12 @@ from typing import Optional, List, TYPE_CHECKING import ray +from ray.util.collective.types import Backend from ray.experimental.collective.tensor_transport_manager import ( TensorTransportManager, TensorTransportEnum, ) +from ray.util.collective.collective import get_group_handle from ray.util.collective.types import ( NIXL_GROUP_NAME, NixlTransportMetadata, @@ -16,10 +18,30 @@ class NixlTensorTransport(TensorTransportManager): + @property + def tensor_transport_backend(self) -> Backend: + return Backend.NIXL + @staticmethod def is_one_sided() -> bool: return True + def actor_has_tensor_transport(self, actor: "ray.actor.ActorHandle") -> bool: + def __ray_actor_has_tensor_transport__( + self: "ray.actor.ActorHandle", + ) -> bool: + try: + nixl_backend = get_group_handle(NIXL_GROUP_NAME) + return nixl_backend is not None + except Exception: + return False + + return ray.get( + actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_actor_has_tensor_transport__ + ) + ) + @staticmethod def get_tensor_transport_metadata( src_actor: "ray.actor.ActorHandle", diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 18d554d2c6d7..5daf604f640f 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -1,6 +1,7 @@ from abc import ABC, abstractmethod from typing import List, Optional, TYPE_CHECKING from ray.util.collective.types import TensorTransportMetadata, CommunicatorMetadata +from ray.util.collective.types import Backend from ray._private.custom_types import TensorTransportEnum import ray @@ -10,6 +11,15 @@ class TensorTransportManager(ABC): + @property + @abstractmethod + def tensor_transport_backend(self) -> Backend: + """The tensor transport backend, e.g., NCCL. + + Returns: + Backend: The backend of the tensor transport. + """ + @staticmethod @abstractmethod def is_one_sided() -> bool: @@ -19,6 +29,17 @@ def is_one_sided() -> bool: bool: True if the backend is one-sided, False otherwise. """ + @abstractmethod + def actor_has_tensor_transport(self, actor: "ray.actor.ActorHandle") -> bool: + """Whether the actor has the tensor transport available. + + Args: + actor: The actor to check. + + Returns: + bool: True if the actor has the tensor transport available, False otherwise. + """ + @staticmethod @abstractmethod def get_tensor_transport_metadata( @@ -64,6 +85,7 @@ def get_communicator_metadata( def send_object( src_actor: "ray.actor.ActorHandle", obj_id: str, + tensor_transport_meta: TensorTransportMetadata, communicator_metadata_ref: CommunicatorMetadata, ): """ @@ -72,6 +94,7 @@ def send_object( Args: src_actor: The actor that runs this function. obj_id: The ID of the GPU object to send. + tensor_transport_meta: The tensor transport metadata for the GPU object. communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. """ from ray.experimental.gpu_object_manager.gpu_object_store import __ray_send__ @@ -83,6 +106,7 @@ def send_object( src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( __ray_send__, obj_id, + tensor_transport_meta, communicator_metadata_ref, ) diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index 6e9297dba37c..3539e5780766 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -16,7 +16,8 @@ # Singleton instances for tensor transport managers _nixl_tensor_transport_manager = None -_collective_tensor_transport_manager = None +_gloo_tensor_transport_manager = None +_nccl_tensor_transport_manager = None def get_tensor_transport_manager( @@ -35,11 +36,16 @@ def get_tensor_transport_manager( if _nixl_tensor_transport_manager is None: _nixl_tensor_transport_manager = NixlTensorTransport() return _nixl_tensor_transport_manager - elif tensor_transport == Backend.TORCH_GLOO or tensor_transport == Backend.NCCL: - global _collective_tensor_transport_manager - if _collective_tensor_transport_manager is None: - _collective_tensor_transport_manager = CollectiveTensorTransport() - return _collective_tensor_transport_manager + elif tensor_transport == Backend.TORCH_GLOO: + global _gloo_tensor_transport_manager + if _gloo_tensor_transport_manager is None: + _gloo_tensor_transport_manager = CollectiveTensorTransport(tensor_transport) + return _gloo_tensor_transport_manager + elif tensor_transport == Backend.NCCL: + global _nccl_tensor_transport_manager + if _nccl_tensor_transport_manager is None: + _nccl_tensor_transport_manager = CollectiveTensorTransport(tensor_transport) + return _nccl_tensor_transport_manager else: raise ValueError(f"Unsupported tensor transport protocol: {tensor_transport}") diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 6c3157b13134..5ce2a345b225 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -222,6 +222,7 @@ def trigger_out_of_band_tensor_transfer( tensor_transport_manager.send_object( src_actor, obj_id, + tensor_transport_meta, communicator_meta, ) tensor_transport_manager.recv_object( @@ -269,7 +270,7 @@ def actor_has_tensor_transport( """ # Import get_collective_groups here to avoid dependency on # collective libraries for default Ray installation. - from ray.experimental.collective import get_collective_groups + from ray.experimental.collective import get_tensor_transport_manager from ray.experimental.gpu_object_manager.gpu_object_store import ( _tensor_transport_to_collective_backend, ) @@ -277,5 +278,7 @@ def actor_has_tensor_transport( tensor_transport_backend = _tensor_transport_to_collective_backend( tensor_transport ) - communicators = get_collective_groups([actor], backend=tensor_transport_backend) - return len(communicators) > 0 + tensor_transport_manager = get_tensor_transport_manager( + tensor_transport_backend + ) + return tensor_transport_manager.actor_has_tensor_transport(actor) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index a1e76392df26..7f6309048d8b 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -43,6 +43,7 @@ def _tensor_transport_to_collective_backend( def __ray_send__( self, obj_id: str, + tensor_transport_meta: TensorTransportMetadata, communicator_meta: CommunicatorMetadata, ): """Helper function that runs on the src actor to send tensors to the dst actor.""" @@ -64,6 +65,7 @@ def __ray_send__( ) tensor_transport_manager.send_multiple_tensors( tensors, + tensor_transport_meta, communicator_meta, ) diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index c15b05e2ade6..6298dbcac4b8 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -225,7 +225,7 @@ def test_p2p_errors_before_group_creation(ray_start_regular): with pytest.raises( ValueError, - match="Actor.* does not have tensor transport GLOO available. Please create a communicator with `ray.experimental.collective.create_collective_group` before calling actor tasks with non-default tensor_transport.", + match="Actor.* does not have tensor transport GLOO available.*", ): sender.echo.remote(small_tensor) From 03a6a8b2be1a7c21b8474f1b4ef2ed739d7e78e8 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 28 Aug 2025 16:50:52 -0700 Subject: [PATCH 0941/1566] [core] use prebuilt redis for osx arm64 (#56036) avoids building from source. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 ++ WORKSPACE | 7 +++++++ 2 files changed, 9 insertions(+) diff --git a/BUILD.bazel b/BUILD.bazel index f9a5539a67a4..8fc6429846d3 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -282,6 +282,7 @@ alias( "@platforms//os:windows": "@com_github_tporadowski_redis_bin//:redis-server.exe", "//bazel:linux_x86_64_config": "@redis_linux_x86_64//:redis-server", "//bazel:linux_arm64_config": "@redis_linux_arm64//:redis-server", + "//bazel:osx_arm64_config": "@redis_osx_arm64//:redis-server", "//conditions:default": "@com_github_antirez_redis//:redis-server", }), ) @@ -292,6 +293,7 @@ alias( "@platforms//os:windows": "@com_github_tporadowski_redis_bin//:redis-cli.exe", "//bazel:linux_x86_64_config": "@redis_linux_x86_64//:redis-cli", "//bazel:linux_arm64_config": "@redis_linux_arm64//:redis-cli", + "//bazel:osx_arm64_config": "@redis_osx_arm64//:redis-cli", "//conditions:default": "@com_github_antirez_redis//:redis-cli", }), ) diff --git a/WORKSPACE b/WORKSPACE index 44b7942314b0..20fd81787491 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -165,6 +165,13 @@ http_archive( urls = ["https://github.com/ray-project/redis/releases/download/7.2.3/redis-linux-arm64.tar.gz"], ) +http_archive( + name = "redis_osx_arm64", + build_file_content = """exports_files(["redis-server", "redis-cli"])""", + sha256 = "74b76099c3600b538252cdd1731278e087e8e85eecc6c64318c860f3e9462506", + urls = ["https://github.com/ray-project/redis/releases/download/7.2.3/redis-osx-arm64.tar.gz"], +) + load("@com_github_storypku_bazel_iwyu//bazel:dependencies.bzl", "bazel_iwyu_dependencies") bazel_iwyu_dependencies() From 25859b0e13a331ba3c5f49fb7f4ed80e9f3437eb Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 28 Aug 2025 19:14:14 -0500 Subject: [PATCH 0942/1566] [core] Split `gcs_autoscaler_state_manager` out from `gcs_server_lib` (#56053) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 🫡 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 38 +++++++- .../gcs_autoscaler_state_manager.cc | 4 - .../gcs_server/gcs_autoscaler_state_manager.h | 16 ++-- src/ray/gcs/gcs_server/gcs_server.cc | 6 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 2 +- .../gcs/gcs_server/grpc_service_interfaces.h | 55 +++++++++-- src/ray/gcs/gcs_server/grpc_services.cc | 43 +++++++-- src/ray/gcs/gcs_server/grpc_services.h | 58 ++++++++--- src/ray/gcs/gcs_server/tests/BUILD.bazel | 7 +- .../gcs_autoscaler_state_manager_test.cc | 5 +- src/ray/rpc/gcs/gcs_rpc_server.h | 95 ------------------- 11 files changed, 184 insertions(+), 145 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 3228dde7e6a7..4c24d3ea9dd0 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -328,6 +328,7 @@ ray_cc_library( visibility = ["//visibility:private"], deps = [ "//src/ray/common:status", + "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", ], ) @@ -345,6 +346,7 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/rpc:grpc_server", "//src/ray/rpc:server_call", @@ -444,19 +446,51 @@ ray_cc_library( ) ray_cc_library( - name = "gcs_server_lib", + name = "gcs_autoscaler_state_manager", srcs = [ "gcs_autoscaler_state_manager.cc", - "gcs_server.cc", ], hdrs = [ "gcs_autoscaler_state_manager.h", + ], + implementation_deps = [ + "//src/ray/common:ray_config", + "//src/ray/gcs:gcs_pb_util", + "//src/ray/util:logging", + "//src/ray/util:string_utils", + "//src/ray/util:time", + ], + deps = [ + ":gcs_actor_manager", + ":gcs_init_data", + ":gcs_kv_manager", + ":gcs_node_manager", + ":gcs_placement_group_manager", + ":gcs_state_util", + ":grpc_service_interfaces", + "//src/ray/common:asio", + "//src/ray/common:id", + "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/util:thread_checker", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_googletest//:gtest", + ], +) + +ray_cc_library( + name = "gcs_server_lib", + srcs = [ + "gcs_server.cc", + ], + hdrs = [ "gcs_server.h", ], deps = [ ":gcs_actor", ":gcs_actor_manager", ":gcs_actor_scheduler", + ":gcs_autoscaler_state_manager", ":gcs_function_manager", ":gcs_health_check_manager", ":gcs_init_data", diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 706c3ab6cdba..6fc73a7ff351 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -19,10 +19,6 @@ #include #include -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" -#include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pb_util.h" #include "ray/util/string_utils.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index b57cc5c46626..2dae21963fa2 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -14,16 +14,23 @@ #pragma once +#include + #include #include #include #include +#include "absl/container/flat_hash_map.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" @@ -31,12 +38,7 @@ namespace ray { namespace gcs { -class GcsActorManager; -class GcsNodeManager; -class GcsPlacementGroupManager; -class GcsResourceManager; - -class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateHandler { +class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateServiceHandler { public: GcsAutoscalerStateManager(std::string session_name, GcsNodeManager &gcs_node_manager, diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 041412b0b16d..1cf6c2e8b9e8 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -731,7 +731,9 @@ void GcsServer::InitGcsAutoscalerStateManager(const GcsInitData &gcs_init_data) gcs_autoscaler_state_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService( std::make_unique( - io_context_provider_.GetDefaultIOContext(), *gcs_autoscaler_state_manager_)); + io_context_provider_.GetDefaultIOContext(), + *gcs_autoscaler_state_manager_, + RayConfig::instance().gcs_max_active_rpcs_per_handler())); } void GcsServer::InitGcsTaskManager() { @@ -742,7 +744,7 @@ void GcsServer::InitGcsTaskManager() { io_context, *gcs_task_manager_, RayConfig::instance().gcs_max_active_rpcs_per_handler())); - rpc_server_.RegisterService(std::make_unique( + rpc_server_.RegisterService(std::make_unique( io_context, *gcs_task_manager_, RayConfig::instance().gcs_max_active_rpcs_per_handler())); diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index bb9c03e7fbc8..ca1edcc34ed0 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -95,7 +95,7 @@ class FinishedTaskActorTaskGcPolicy : public TaskEventsGcPolicyInterface { /// This class has its own io_context and io_thread, that's separate from other GCS /// services. All handling of all rpc should be posted to the single thread it owns. class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, - public rpc::RayEventExportGcsServiceHandler { + public rpc::events::RayEventExportGcsServiceHandler { public: /// Create a GcsTaskManager. explicit GcsTaskManager(instrumented_io_context &io_service); diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 3f4feb03b784..03dee80ce3fe 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -22,6 +22,7 @@ #pragma once #include "ray/common/status.h" +#include "src/ray/protobuf/autoscaler.grpc.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { @@ -261,14 +262,6 @@ class TaskInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; -class RayEventExportGcsServiceHandler { - public: - virtual ~RayEventExportGcsServiceHandler() = default; - virtual void HandleAddEvents(events::AddEventsRequest request, - events::AddEventsReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - class PlacementGroupInfoGcsServiceHandler { public: virtual ~PlacementGroupInfoGcsServiceHandler() = default; @@ -299,5 +292,51 @@ class PlacementGroupInfoGcsServiceHandler { SendReplyCallback send_reply_callback) = 0; }; +namespace autoscaler { + +class AutoscalerStateServiceHandler { + public: + virtual ~AutoscalerStateServiceHandler() = default; + + virtual void HandleGetClusterResourceState(GetClusterResourceStateRequest request, + GetClusterResourceStateReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleReportAutoscalingState(ReportAutoscalingStateRequest request, + ReportAutoscalingStateReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRequestClusterResourceConstraint( + RequestClusterResourceConstraintRequest request, + RequestClusterResourceConstraintReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetClusterStatus(GetClusterStatusRequest request, + GetClusterStatusReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleDrainNode(DrainNodeRequest request, + DrainNodeReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleReportClusterConfig(ReportClusterConfigRequest request, + ReportClusterConfigReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +} // namespace autoscaler + +namespace events { + +class RayEventExportGcsServiceHandler { + public: + virtual ~RayEventExportGcsServiceHandler() = default; + virtual void HandleAddEvents(events::AddEventsRequest request, + events::AddEventsReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +} // namespace events + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index d1b4bb9d9f51..1fd61662ba66 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -142,16 +142,6 @@ void TaskInfoGrpcService::InitServerCallFactories( RPC_SERVICE_HANDLER(TaskInfoGcsService, GetTaskEvents, max_active_rpcs_per_handler_) } -using events::AddEventsReply; -using events::AddEventsRequest; - -void RayEventExportGrpcService::InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) { - RPC_SERVICE_HANDLER(RayEventExportGcsService, AddEvents, max_active_rpcs_per_handler_) -} - void PlacementGroupInfoGrpcService::InitServerCallFactories( const std::unique_ptr &cq, std::vector> *server_call_factories, @@ -171,5 +161,38 @@ void PlacementGroupInfoGrpcService::InitServerCallFactories( max_active_rpcs_per_handler_) } +namespace autoscaler { + +void AutoscalerStateGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER( + AutoscalerStateService, GetClusterResourceState, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + AutoscalerStateService, ReportAutoscalingState, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + AutoscalerStateService, ReportClusterConfig, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(AutoscalerStateService, + RequestClusterResourceConstraint, + max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER( + AutoscalerStateService, GetClusterStatus, max_active_rpcs_per_handler_) + RPC_SERVICE_HANDLER(AutoscalerStateService, DrainNode, max_active_rpcs_per_handler_) +} + +} // namespace autoscaler + +namespace events { + +void RayEventExportGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + RPC_SERVICE_HANDLER(RayEventExportGcsService, AddEvents, max_active_rpcs_per_handler_) +} + +} // namespace events + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/gcs_server/grpc_services.h index 20040d8396aa..12e745196163 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/gcs_server/grpc_services.h @@ -30,6 +30,7 @@ #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/server_call.h" +#include "src/ray/protobuf/autoscaler.grpc.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { @@ -242,11 +243,36 @@ class TaskInfoGrpcService : public GrpcService { int64_t max_active_rpcs_per_handler_; }; -class RayEventExportGrpcService : public GrpcService { +class PlacementGroupInfoGrpcService : public GrpcService { public: - explicit RayEventExportGrpcService(instrumented_io_context &io_service, - RayEventExportGcsServiceHandler &handler, - int64_t max_active_rpcs_per_handler) + explicit PlacementGroupInfoGrpcService(instrumented_io_context &io_service, + PlacementGroupInfoGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(io_service), + service_handler_(handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + PlacementGroupInfoGcsService::AsyncService service_; + PlacementGroupInfoGcsServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + +namespace autoscaler { + +class AutoscalerStateGrpcService : public GrpcService { + public: + explicit AutoscalerStateGrpcService(instrumented_io_context &io_service, + AutoscalerStateServiceHandler &handler, + int64_t max_active_rpcs_per_handler) : GrpcService(io_service), service_handler_(handler), max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; @@ -260,19 +286,23 @@ class RayEventExportGrpcService : public GrpcService { const ClusterID &cluster_id) override; private: - RayEventExportGcsService::AsyncService service_; - RayEventExportGcsServiceHandler &service_handler_; + AutoscalerStateService::AsyncService service_; + AutoscalerStateServiceHandler &service_handler_; int64_t max_active_rpcs_per_handler_; }; -class PlacementGroupInfoGrpcService : public GrpcService { +} // namespace autoscaler + +namespace events { + +class RayEventExportGrpcService : public GrpcService { public: - explicit PlacementGroupInfoGrpcService(instrumented_io_context &io_service, - PlacementGroupInfoGcsServiceHandler &handler, - int64_t max_active_rpcs_per_handler) + explicit RayEventExportGrpcService(instrumented_io_context &io_service, + RayEventExportGcsServiceHandler &handler, + int64_t max_active_rpcs_per_handler) : GrpcService(io_service), service_handler_(handler), - max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + max_active_rpcs_per_handler_(max_active_rpcs_per_handler){}; protected: grpc::Service &GetGrpcService() override { return service_; } @@ -283,10 +313,12 @@ class PlacementGroupInfoGrpcService : public GrpcService { const ClusterID &cluster_id) override; private: - PlacementGroupInfoGcsService::AsyncService service_; - PlacementGroupInfoGcsServiceHandler &service_handler_; + RayEventExportGcsService::AsyncService service_; + RayEventExportGcsServiceHandler &service_handler_; int64_t max_active_rpcs_per_handler_; }; +} // namespace events + } // namespace rpc } // namespace ray diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 2bb7fc487143..2bf6918e5fa0 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -336,8 +336,13 @@ ray_cc_test( "//:ray_fakes", "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/common:asio", + "//src/ray/gcs/gcs_server:gcs_autoscaler_state_manager", + "//src/ray/gcs/gcs_server:gcs_init_data", + "//src/ray/gcs/gcs_server:gcs_resource_manager", + "//src/ray/gcs/gcs_server:gcs_store_client_kv", "//src/ray/gcs/tests:gcs_test_util_lib", + "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 5cb34e043dfa..68ed5f907e8a 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -14,6 +14,9 @@ #include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" +#include +#include + #include #include #include @@ -23,8 +26,6 @@ #include #include "fakes/ray/rpc/raylet/raylet_client.h" -#include "gmock/gmock.h" -#include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "mock/ray/gcs/gcs_server/gcs_placement_group_manager.h" diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h index 28b0c7e73c9f..0e797263efda 100644 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ b/src/ray/rpc/gcs/gcs_rpc_server.h @@ -25,110 +25,15 @@ #include "src/ray/protobuf/events_event_aggregator_service.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" -namespace ray { -namespace rpc { // Most of our RPC templates, if not all, expect messages in the ray::rpc protobuf // namespace. Since the following two messages are defined under the rpc::events // namespace, we treat them as if they were part of ray::rpc for compatibility. using ray::rpc::events::AddEventsReply; using ray::rpc::events::AddEventsRequest; -namespace autoscaler { - -#define AUTOSCALER_STATE_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(AutoscalerStateService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -class AutoscalerStateServiceHandler { - public: - virtual ~AutoscalerStateServiceHandler() = default; - - virtual void HandleGetClusterResourceState(GetClusterResourceStateRequest request, - GetClusterResourceStateReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleReportAutoscalingState(ReportAutoscalingStateRequest request, - ReportAutoscalingStateReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleRequestClusterResourceConstraint( - RequestClusterResourceConstraintRequest request, - RequestClusterResourceConstraintReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGetClusterStatus(GetClusterStatusRequest request, - GetClusterStatusReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleDrainNode(DrainNodeRequest request, - DrainNodeReply *reply, - SendReplyCallback send_reply_callback) = 0; - - virtual void HandleReportClusterConfig(ReportClusterConfigRequest request, - ReportClusterConfigReply *reply, - SendReplyCallback send_reply_callback) = 0; -}; - -/// The `GrpcService` for `AutoscalerStateService`. -class AutoscalerStateGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] handler The service handler that actually handle the requests. - explicit AutoscalerStateGrpcService(instrumented_io_context &io_service, - AutoscalerStateServiceHandler &handler) - : GrpcService(io_service), service_handler_(handler){}; - - protected: - grpc::Service &GetGrpcService() override { return service_; } - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(GetClusterResourceState); - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(ReportAutoscalingState); - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(ReportClusterConfig); - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(RequestClusterResourceConstraint); - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(GetClusterStatus); - AUTOSCALER_STATE_SERVICE_RPC_HANDLER(DrainNode); - } - - private: - /// The grpc async service object. - AutoscalerStateService::AsyncService service_; - /// The service handler that actually handle the requests. - AutoscalerStateServiceHandler &service_handler_; -}; - -using AutoscalerStateHandler = AutoscalerStateServiceHandler; - -} // namespace autoscaler -} // namespace rpc -} // namespace ray namespace ray { namespace rpc { -#define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(MonitorGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -#define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -#define MONITOR_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(MonitorGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - -#define OBJECT_INFO_SERVICE_RPC_HANDLER(HANDLER) \ - RPC_SERVICE_HANDLER(ObjectInfoGcsService, \ - HANDLER, \ - RayConfig::instance().gcs_max_active_rpcs_per_handler()) - #define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ reply->mutable_status()->set_code(static_cast(status.code())); \ reply->mutable_status()->set_message(status.message()); \ From 980208597e78fe2395bd646e5e030540453de8d3 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 28 Aug 2025 17:41:37 -0700 Subject: [PATCH 0943/1566] [core] Kill GcsUnregisterSubscriber + publisher retry tests + doc (#56038) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/fakes/ray/pubsub/publisher.h | 14 +- src/mock/ray/pubsub/publisher.h | 4 +- .../core_worker/tests/reference_count_test.cc | 25 ++- .../gcs/gcs_server/grpc_service_interfaces.h | 4 - src/ray/gcs/gcs_server/grpc_services.cc | 2 - src/ray/gcs/gcs_server/pubsub_handler.cc | 9 -- src/ray/gcs/gcs_server/pubsub_handler.h | 4 - src/ray/gcs/pubsub/gcs_pub_sub.cc | 10 +- .../ownership_object_directory.cc | 8 +- src/ray/protobuf/gcs_service.proto | 10 -- src/ray/pubsub/README.md | 39 +++-- src/ray/pubsub/publisher.cc | 115 +++++-------- src/ray/pubsub/publisher.h | 32 ++-- src/ray/pubsub/publisher_interface.h | 12 +- src/ray/pubsub/subscriber.h | 1 - src/ray/pubsub/tests/publisher_test.cc | 151 ++++++++++++------ .../pubsub/tests/pubsub_integration_test.cc | 6 +- src/ray/util/BUILD.bazel | 8 - src/ray/util/sample.h | 50 ------ src/ray/util/tests/BUILD.bazel | 11 -- src/ray/util/tests/sample_test.cc | 83 ---------- 21 files changed, 217 insertions(+), 381 deletions(-) delete mode 100644 src/ray/util/sample.h delete mode 100644 src/ray/util/tests/sample_test.cc diff --git a/src/fakes/ray/pubsub/publisher.h b/src/fakes/ray/pubsub/publisher.h index d6a5c7a6dae0..fe10bc02550c 100644 --- a/src/fakes/ray/pubsub/publisher.h +++ b/src/fakes/ray/pubsub/publisher.h @@ -21,24 +21,20 @@ namespace pubsub { class FakePublisher : public Publisher { public: - bool RegisterSubscription(const rpc::ChannelType channel_type, + void RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, - const std::optional &key_id) override { - return true; - } + const std::optional &key_id) override {} void Publish(rpc::PubMessage pub_message) override {} void PublishFailure(const rpc::ChannelType channel_type, const std::string &key_id) override {} - bool UnregisterSubscription(const rpc::ChannelType channel_type, + void UnregisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, - const std::optional &key_id) override { - return true; - } + const std::optional &key_id) override {} - void UnregisterSubscriber(const UniqueID &subscriber_id) override { return; } + void UnregisterSubscriber(const UniqueID &subscriber_id) override {} std::string DebugString() const override { return "FakePublisher"; } }; diff --git a/src/mock/ray/pubsub/publisher.h b/src/mock/ray/pubsub/publisher.h index 1e384427db95..9a1d7c33635f 100644 --- a/src/mock/ray/pubsub/publisher.h +++ b/src/mock/ray/pubsub/publisher.h @@ -29,7 +29,7 @@ class MockPublisher : public PublisherInterface { google::protobuf::RepeatedPtrField *pub_messages, rpc::SendReplyCallback send_reply_callback), (override)); - MOCK_METHOD(bool, + MOCK_METHOD(void, RegisterSubscription, (const rpc::ChannelType channel_type, const UniqueID &subscriber_id, @@ -40,7 +40,7 @@ class MockPublisher : public PublisherInterface { PublishFailure, (const rpc::ChannelType channel_type, const std::string &key_id), (override)); - MOCK_METHOD(bool, + MOCK_METHOD(void, UnregisterSubscription, (const rpc::ChannelType channel_type, const UniqueID &subscriber_id, diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 44f753bbe693..72f7dc6a1364 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -107,7 +107,7 @@ using SubscriptionFailureCallbackMap = // static maps are used to simulate distirubted environment. static SubscriptionCallbackMap subscription_callback_map; static SubscriptionFailureCallbackMap subscription_failure_callback_map; -static pubsub::pub_internal::SubscriptionIndex directory( +static pubsub::SubscriptionIndex directory( rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL); static std::string GenerateID(UniqueID publisher_id, UniqueID subscriber_id) { @@ -127,7 +127,7 @@ using PublisherFactoryFn = class MockDistributedSubscriber : public pubsub::SubscriberInterface { public: - MockDistributedSubscriber(pubsub::pub_internal::SubscriptionIndex *dict, + MockDistributedSubscriber(pubsub::SubscriptionIndex *dict, SubscriptionCallbackMap *sub_callback_map, SubscriptionFailureCallbackMap *sub_failure_callback_map, UniqueID subscriber_id, @@ -136,7 +136,7 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { subscription_callback_map_(sub_callback_map), subscription_failure_callback_map_(sub_failure_callback_map), subscriber_id_(subscriber_id), - subscriber_(std::make_unique( + subscriber_(std::make_unique( subscriber_id, /*get_time_ms=*/[]() { return 1.0; }, /*subscriber_timeout_ms=*/1000, @@ -207,17 +207,17 @@ class MockDistributedSubscriber : public pubsub::SubscriberInterface { return ""; } - pubsub::pub_internal::SubscriptionIndex *directory_; + pubsub::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; SubscriptionFailureCallbackMap *subscription_failure_callback_map_; UniqueID subscriber_id_; - std::unique_ptr subscriber_; + std::unique_ptr subscriber_; PublisherFactoryFn client_factory_; }; class MockDistributedPublisher : public pubsub::PublisherInterface { public: - MockDistributedPublisher(pubsub::pub_internal::SubscriptionIndex *dict, + MockDistributedPublisher(pubsub::SubscriptionIndex *dict, SubscriptionCallbackMap *sub_callback_map, SubscriptionFailureCallbackMap *sub_failure_callback_map, WorkerID publisher_id) @@ -227,11 +227,10 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { publisher_id_(publisher_id) {} ~MockDistributedPublisher() = default; - bool RegisterSubscription(const rpc::ChannelType channel_type, + void RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id_binary) override { RAY_CHECK(false) << "No need to implement it for testing."; - return false; } void PublishFailure(const rpc::ChannelType channel_type, @@ -256,13 +255,11 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { } } - bool UnregisterSubscription(const rpc::ChannelType channel_type, + void UnregisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, - const std::optional &key_id_binary) override { - return true; - } + const std::optional &key_id_binary) override {} - void UnregisterSubscriber(const UniqueID &subscriber_id) override { return; } + void UnregisterSubscriber(const UniqueID &subscriber_id) override {} void ConnectToSubscriber( const rpc::PubsubLongPollingRequest &request, @@ -272,7 +269,7 @@ class MockDistributedPublisher : public pubsub::PublisherInterface { std::string DebugString() const override { return ""; } - pubsub::pub_internal::SubscriptionIndex *directory_; + pubsub::SubscriptionIndex *directory_; SubscriptionCallbackMap *subscription_callback_map_; SubscriptionFailureCallbackMap *subscription_failure_callback_map_; WorkerID publisher_id_; diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/gcs_server/grpc_service_interfaces.h index 03dee80ce3fe..e7d8dedf5a61 100644 --- a/src/ray/gcs/gcs_server/grpc_service_interfaces.h +++ b/src/ray/gcs/gcs_server/grpc_service_interfaces.h @@ -143,10 +143,6 @@ class InternalPubSubGcsServiceHandler { virtual void HandleGcsSubscriberCommandBatch(GcsSubscriberCommandBatchRequest request, GcsSubscriberCommandBatchReply *reply, SendReplyCallback send_reply_callback) = 0; - - virtual void HandleGcsUnregisterSubscriber(GcsUnregisterSubscriberRequest request, - GcsUnregisterSubscriberReply *reply, - SendReplyCallback send_reply_callback) = 0; }; class JobInfoGcsServiceHandler { diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/gcs_server/grpc_services.cc index 1fd61662ba66..b868c93f9425 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/gcs_server/grpc_services.cc @@ -79,8 +79,6 @@ void InternalPubSubGrpcService::InitServerCallFactories( InternalPubSubGcsService, GcsSubscriberPoll, max_active_rpcs_per_handler_); RPC_SERVICE_HANDLER( InternalPubSubGcsService, GcsSubscriberCommandBatch, max_active_rpcs_per_handler_); - RPC_SERVICE_HANDLER( - InternalPubSubGcsService, GcsUnregisterSubscriber, max_active_rpcs_per_handler_); } void JobInfoGrpcService::InitServerCallFactories( diff --git a/src/ray/gcs/gcs_server/pubsub_handler.cc b/src/ray/gcs/gcs_server/pubsub_handler.cc index 865acac8f9e7..51026d4dc0f0 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.cc +++ b/src/ray/gcs/gcs_server/pubsub_handler.cc @@ -93,15 +93,6 @@ void InternalPubSubHandler::HandleGcsSubscriberCommandBatch( send_reply_callback(Status::OK(), nullptr, nullptr); } -void InternalPubSubHandler::HandleGcsUnregisterSubscriber( - rpc::GcsUnregisterSubscriberRequest request, - rpc::GcsUnregisterSubscriberReply *reply, - rpc::SendReplyCallback send_reply_callback) { - const auto subscriber_id = UniqueID::FromBinary(request.subscriber_id()); - gcs_publisher_.GetPublisher().UnregisterSubscriber(subscriber_id); - send_reply_callback(Status::OK(), nullptr, nullptr); -} - void InternalPubSubHandler::AsyncRemoveSubscriberFrom(const std::string &sender_id) { io_service_.post( [this, sender_id]() { diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/gcs_server/pubsub_handler.h index 521863db6ed9..04a935fd949a 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/gcs_server/pubsub_handler.h @@ -44,10 +44,6 @@ class InternalPubSubHandler : public rpc::InternalPubSubGcsServiceHandler { rpc::GcsSubscriberCommandBatchReply *reply, rpc::SendReplyCallback send_reply_callback) final; - void HandleGcsUnregisterSubscriber(rpc::GcsUnregisterSubscriberRequest request, - rpc::GcsUnregisterSubscriberReply *reply, - rpc::SendReplyCallback send_reply_callback) final; - /// This function is only for external callers. Internally, can just erase from /// sender_to_subscribers_ and everything should be on the Publisher's io_service_. void AsyncRemoveSubscriberFrom(const std::string &sender_id); diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/gcs/pubsub/gcs_pub_sub.cc index 976779ec6c94..12fd6a767f09 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/gcs/pubsub/gcs_pub_sub.cc @@ -335,10 +335,14 @@ Status PythonGcsSubscriber::Close() { grpc::ClientContext context; - rpc::GcsUnregisterSubscriberRequest request; + rpc::GcsSubscriberCommandBatchRequest request; request.set_subscriber_id(subscriber_id_); - rpc::GcsUnregisterSubscriberReply reply; - grpc::Status status = pubsub_stub_->GcsUnregisterSubscriber(&context, request, &reply); + auto *command = request.add_commands(); + command->set_channel_type(channel_type_); + command->mutable_unsubscribe_message(); + rpc::GcsSubscriberCommandBatchReply reply; + grpc::Status status = + pubsub_stub_->GcsSubscriberCommandBatch(&context, request, &reply); if (!status.ok()) { RAY_LOG(WARNING) << "Error while unregistering the subscriber: " diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index dfa9615b6679..431bd14095a2 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -346,7 +346,6 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( auto failure_callback = [this, owner_address](const std::string &object_id_binary, const Status &status) { const auto obj_id = ObjectID::FromBinary(object_id_binary); - rpc::WorkerObjectLocationsPubMessage location_info; if (!status.ok()) { RAY_LOG(INFO).WithField(obj_id) << "Failed to get the location: " << status.ToString(); @@ -362,9 +361,10 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( // Location lookup can fail if the owner is reachable but no longer has a // record of this ObjectRef, most likely due to an issue with the // distributed reference counting protocol. - ObjectLocationSubscriptionCallback(location_info, - obj_id, - /*location_lookup_failed*/ true); + ObjectLocationSubscriptionCallback( + /*location_info=*/rpc::WorkerObjectLocationsPubMessage{}, + obj_id, + /*location_lookup_failed*/ true); }; auto sub_message = std::make_unique(); diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index d0c69395ed4c..3e25c48da3c3 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -680,12 +680,6 @@ message GcsSubscriberCommandBatchReply { GcsStatus status = 100; } -message GcsUnregisterSubscriberRequest { - bytes subscriber_id = 1; -} - -message GcsUnregisterSubscriberReply {} - /// This supports subscribing updates from GCS with long poll, and registering / /// de-registering subscribers. service InternalPubSubGcsService { @@ -699,10 +693,6 @@ service InternalPubSubGcsService { /// A batch of subscribe / unsubscribe requests sent by the subscriber. rpc GcsSubscriberCommandBatch(GcsSubscriberCommandBatchRequest) returns (GcsSubscriberCommandBatchReply); - /// Unregister a subscriber from GCS, removing all subscriptions as well as the - /// subscriber itself. - rpc GcsUnregisterSubscriber(GcsUnregisterSubscriberRequest) - returns (GcsUnregisterSubscriberReply); } message GetAllResourceUsageRequest {} diff --git a/src/ray/pubsub/README.md b/src/ray/pubsub/README.md index 75d32cead1f3..fd791fd1cddb 100644 --- a/src/ray/pubsub/README.md +++ b/src/ray/pubsub/README.md @@ -135,19 +135,26 @@ Note that this section ignores fault tolerance. ### Fault detection -Fault detection needed to be implemented in the component-agonistic manner, so -it doesn't use Ray's GCS for that. - -Subscriber detects the publisher failures from the long polling request. A -single long polling request is initiated from the subscriber, and it sends them -again and again whenever replied as long as there are subscribing entries. If -the publisher fails, the long polling request is also failed, so that the -subscriber can detect the failures of publishers. All metadata is cleaned up in -this case. - -Publishers always have received long polling request from a subscriber as long -as there are subscribing entries from them. If subscribers are failed, they are -not sending any more long polling requests. Publishers refreshes the long -polling request every 30 seconds to check if the subscriber is still alive. If -the subscriber doesn't initiate a long polling request for more than certain -threshold, the subscriber is considered failed and all metadata is cleaned up. +Both pubsub RPC's will be retried by the client on transient network failures using the +retryable grpc client used by other RPC's throughout. + +TODO(dayshah): Only the GCS client currently retries the requests, the core worker clients will in the future. + +Subscribing and unsubscribing are idempotent so the `PubsubCommandBatchRequest` can be resent. +Since we restrict it to one in-flight request, the commands will be ordered even with retries. + +The subscriber's `PubsubLongPollingRequest` can also be retried since it comes with a +max_processed_sequence_id. The retry will be sent with the same max_processed_sequence_id +and therefore the publisher will send back the all the messages from max_processed_sequence_id +to max_sequence_id in that subscriber's mailbox. Messages will not be removed from a subscriber's +mailbox until the subscriber sends a request with max_processed_sequence_id > sequence id of message. +Sequence id increments on every publish on a publisher, regardless of channel or entity. + +Publishers keep receiving long polling requests from a subscriber as long +as there are subscribing entries from them. If subscribers are "dead", they are +not sending any more long polling requests. Publishers check if there's been active +long polling requests every 30 seconds to check if the subscriber is still alive. If +there's no activity on a LongPollingRequest for subscriber_timeout_ms (300s by default), +we'll flush the request (we'll reply) and wait to see if the subscriber sends another one. +If there hasn't been an active long polling request for over subscriber_timeout_ms, the +subscriber is considered dead and all metadata is cleaned up. diff --git a/src/ray/pubsub/publisher.cc b/src/ray/pubsub/publisher.cc index 2f4cdd05f176..b9494c5b0034 100644 --- a/src/ray/pubsub/publisher.cc +++ b/src/ray/pubsub/publisher.cc @@ -25,8 +25,6 @@ namespace ray { namespace pubsub { -namespace pub_internal { - bool EntityState::Publish(const std::shared_ptr &msg, size_t msg_size) { if (subscribers_.empty()) { return false; @@ -92,12 +90,12 @@ bool EntityState::Publish(const std::shared_ptr &msg, size_t ms return true; } -bool EntityState::AddSubscriber(SubscriberState *subscriber) { - return subscribers_.emplace(subscriber->id(), subscriber).second; +void EntityState::AddSubscriber(SubscriberState *subscriber) { + subscribers_.emplace(subscriber->id(), subscriber); } -bool EntityState::RemoveSubscriber(const UniqueID &subscriber_id) { - return subscribers_.erase(subscriber_id) > 0; +void EntityState::RemoveSubscriber(const UniqueID &subscriber_id) { + subscribers_.erase(subscriber_id); } const absl::flat_hash_map &EntityState::Subscribers() const { @@ -131,22 +129,20 @@ bool SubscriptionIndex::Publish(const std::shared_ptr &pub_mess return publish_to_all || publish_to_entity; } -bool SubscriptionIndex::AddEntry(const std::string &key_id, SubscriberState *subscriber) { +void SubscriptionIndex::AddEntry(const std::string &key_id, SubscriberState *subscriber) { if (key_id.empty()) { - return subscribers_to_all_->AddSubscriber(subscriber); + subscribers_to_all_->AddSubscriber(subscriber); + return; } auto &subscribing_key_ids = subscribers_to_key_id_[subscriber->id()]; - const bool key_added = subscribing_key_ids.emplace(key_id).second; + subscribing_key_ids.emplace(key_id); auto sub_it = entities_.find(key_id); if (sub_it == entities_.end()) { sub_it = entities_.emplace(key_id, CreateEntityState(channel_type_)).first; } - const bool subscriber_added = sub_it->second->AddSubscriber(subscriber); - - RAY_CHECK(key_added == subscriber_added); - return key_added; + sub_it->second->AddSubscriber(subscriber); } std::vector SubscriptionIndex::GetSubscriberIdsByKeyId( @@ -166,15 +162,13 @@ std::vector SubscriptionIndex::GetSubscriberIdsByKeyId( return subscribers; } -bool SubscriptionIndex::EraseSubscriber(const UniqueID &subscriber_id) { +void SubscriptionIndex::EraseSubscriber(const UniqueID &subscriber_id) { // Erase subscriber of all keys. - if (subscribers_to_all_->RemoveSubscriber(subscriber_id)) { - return true; - } + subscribers_to_all_->RemoveSubscriber(subscriber_id); auto subscribing_key_it = subscribers_to_key_id_.find(subscriber_id); if (subscribing_key_it == subscribers_to_key_id_.end()) { - return false; + return; } // Erase subscriber of individual keys. @@ -192,46 +186,41 @@ bool SubscriptionIndex::EraseSubscriber(const UniqueID &subscriber_id) { } } subscribers_to_key_id_.erase(subscribing_key_it); - return true; } -bool SubscriptionIndex::EraseEntry(const std::string &key_id, +void SubscriptionIndex::EraseEntry(const std::string &key_id, const UniqueID &subscriber_id) { // Erase the subscriber of all keys. if (key_id.empty()) { - return subscribers_to_all_->RemoveSubscriber(subscriber_id); + subscribers_to_all_->RemoveSubscriber(subscriber_id); } // Erase keys from the subscriber of individual keys. - auto subscribers_to_message_it = subscribers_to_key_id_.find(subscriber_id); - if (subscribers_to_message_it == subscribers_to_key_id_.end()) { - return false; + auto subscribers_to_key_id_it = subscribers_to_key_id_.find(subscriber_id); + if (subscribers_to_key_id_it == subscribers_to_key_id_.end()) { + return; } - auto &objects = subscribers_to_message_it->second; + auto &objects = subscribers_to_key_id_it->second; auto object_it = objects.find(key_id); if (object_it == objects.end()) { - auto it = entities_.find(key_id); - if (it != entities_.end()) { - RAY_CHECK(!it->second->Subscribers().contains(subscriber_id)); - } - return false; + return; } objects.erase(object_it); if (objects.empty()) { - subscribers_to_key_id_.erase(subscribers_to_message_it); + subscribers_to_key_id_.erase(subscribers_to_key_id_it); } // Erase subscribers from keys (reverse index). auto entity_it = entities_.find(key_id); - // If code reaches this line, that means the object id was in the index. - RAY_CHECK(entity_it != entities_.end()); + if (entity_it == entities_.end()) { + return; + } auto &entity = *entity_it->second; // If code reaches this line, that means the subscriber id was in the index. - RAY_CHECK(entity.RemoveSubscriber(subscriber_id)); + entity.RemoveSubscriber(subscriber_id); if (entity.Subscribers().empty()) { entities_.erase(entity_it); } - return true; } bool SubscriptionIndex::HasKeyId(const std::string &key_id) const { @@ -371,8 +360,6 @@ bool SubscriberState::IsActive() const { return get_time_ms_() - last_connection_update_time_ms_ < connection_timeout_ms_; } -} // namespace pub_internal - void Publisher::ConnectToSubscriber( const rpc::PubsubLongPollingRequest &request, std::string *publisher_id, @@ -387,13 +374,12 @@ void Publisher::ConnectToSubscriber( auto it = subscribers_.find(subscriber_id); if (it == subscribers_.end()) { it = subscribers_ - .emplace( - subscriber_id, - std::make_unique(subscriber_id, - get_time_ms_, - subscriber_timeout_ms_, - publish_batch_size_, - publisher_id_)) + .emplace(subscriber_id, + std::make_unique(subscriber_id, + get_time_ms_, + subscriber_timeout_ms_, + publish_batch_size_, + publisher_id_)) .first; } auto &subscriber = it->second; @@ -403,26 +389,25 @@ void Publisher::ConnectToSubscriber( request, publisher_id, pub_messages, std::move(send_reply_callback)); } -bool Publisher::RegisterSubscription(const rpc::ChannelType channel_type, +void Publisher::RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) { absl::MutexLock lock(&mutex_); auto it = subscribers_.find(subscriber_id); if (it == subscribers_.end()) { it = subscribers_ - .emplace( - subscriber_id, - std::make_unique(subscriber_id, - get_time_ms_, - subscriber_timeout_ms_, - publish_batch_size_, - publisher_id_)) + .emplace(subscriber_id, + std::make_unique(subscriber_id, + get_time_ms_, + subscriber_timeout_ms_, + publish_batch_size_, + publisher_id_)) .first; } - pub_internal::SubscriberState *subscriber = it->second.get(); + SubscriberState *subscriber = it->second.get(); auto subscription_index_it = subscription_index_map_.find(channel_type); RAY_CHECK(subscription_index_it != subscription_index_map_.end()); - return subscription_index_it->second.AddEntry(key_id.value_or(""), subscriber); + subscription_index_it->second.AddEntry(key_id.value_or(""), subscriber); } void Publisher::Publish(rpc::PubMessage pub_message) { @@ -430,8 +415,6 @@ void Publisher::Publish(rpc::PubMessage pub_message) { const auto channel_type = pub_message.channel_type(); absl::MutexLock lock(&mutex_); auto &subscription_index = subscription_index_map_.at(channel_type); - // TODO(sang): Currently messages are lost if publish happens - // before there's any subscriber for the object. pub_message.set_sequence_id(++next_sequence_id_); const size_t msg_size = pub_message.ByteSizeLong(); @@ -451,13 +434,14 @@ void Publisher::PublishFailure(const rpc::ChannelType channel_type, Publish(pub_message); } -bool Publisher::UnregisterSubscription(const rpc::ChannelType channel_type, +void Publisher::UnregisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) { absl::MutexLock lock(&mutex_); auto subscription_index_it = subscription_index_map_.find(channel_type); - RAY_CHECK(subscription_index_it != subscription_index_map_.end()); - return subscription_index_it->second.EraseEntry(key_id.value_or(""), subscriber_id); + if (subscription_index_it != subscription_index_map_.end()) { + subscription_index_it->second.EraseEntry(key_id.value_or(""), subscriber_id); + } } void Publisher::UnregisterSubscriber(const UniqueID &subscriber_id) { @@ -465,19 +449,6 @@ void Publisher::UnregisterSubscriber(const UniqueID &subscriber_id) { UnregisterSubscriberInternal(subscriber_id); } -void Publisher::UnregisterAll() { - absl::MutexLock lock(&mutex_); - // Save the subscriber IDs to be removed, because UnregisterSubscriberInternal() - // erases from subscribers_. - std::vector ids; - for (const auto &[id, subscriber] : subscribers_) { - ids.push_back(id); - } - for (const auto &id : ids) { - UnregisterSubscriberInternal(id); - } -} - void Publisher::UnregisterSubscriberInternal(const UniqueID &subscriber_id) { RAY_LOG(DEBUG) << "Unregistering subscriber " << subscriber_id.Hex(); for (auto &index : subscription_index_map_) { diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index 81165e1a8c5e..9657fab90309 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -37,8 +37,6 @@ namespace ray { namespace pubsub { -namespace pub_internal { - class SubscriberState; /// State for an entity / topic in a pub/sub channel. @@ -54,8 +52,8 @@ class EntityState { bool Publish(const std::shared_ptr &pub_message, size_t msg_size); /// Manages the set of subscribers of this entity. - bool AddSubscriber(SubscriberState *subscriber); - bool RemoveSubscriber(const UniqueID &subscriber_id); + void AddSubscriber(SubscriberState *subscriber); + void RemoveSubscriber(const UniqueID &subscriber_id); /// Gets the current set of subscribers, keyed by subscriber IDs. const absl::flat_hash_map &Subscribers() const; @@ -101,16 +99,15 @@ class SubscriptionIndex { /// Adds a new subscriber and the key it subscribes to. /// When `key_id` is empty, the subscriber subscribes to all keys. - /// NOTE: The method is idempotent. If it adds a duplicated entry, it will be no-op. - bool AddEntry(const std::string &key_id, SubscriberState *subscriber); + void AddEntry(const std::string &key_id, SubscriberState *subscriber); /// Erases the subscriber from this index. /// Returns whether the subscriber exists before the call. - bool EraseSubscriber(const UniqueID &subscriber_id); + void EraseSubscriber(const UniqueID &subscriber_id); /// Erases the subscriber from the particular key. /// When `key_id` is empty, the subscriber subscribes to all keys. - bool EraseEntry(const std::string &key_id, const UniqueID &subscriber_id); + void EraseEntry(const std::string &key_id, const UniqueID &subscriber_id); /// Test only. /// Returns true if the entity id exists in the index. @@ -231,8 +228,6 @@ class SubscriberState { std::string publisher_id_binary_; }; -} // namespace pub_internal - /// Protocol detail /// /// - Subscriber always send a long polling connection as long as there are subscribed @@ -272,7 +267,7 @@ class Publisher : public PublisherInterface { publisher_id_(publisher_id) { // Insert index map for each channel. for (auto type : channels) { - subscription_index_map_.emplace(type, pub_internal::SubscriptionIndex(type)); + subscription_index_map_.emplace(type, SubscriptionIndex(type)); } periodical_runner_->RunFnPeriodically([this] { CheckDeadSubscribers(); }, @@ -286,7 +281,7 @@ class Publisher : public PublisherInterface { google::protobuf::RepeatedPtrField *pub_messages, rpc::SendReplyCallback send_reply_callback) override; - bool RegisterSubscription(const rpc::ChannelType channel_type, + void RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) override; @@ -295,7 +290,7 @@ class Publisher : public PublisherInterface { void PublishFailure(const rpc::ChannelType channel_type, const std::string &key_id) override; - bool UnregisterSubscription(const rpc::ChannelType channel_type, + void UnregisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) override; @@ -303,9 +298,6 @@ class Publisher : public PublisherInterface { std::string DebugString() const override; - /// Flushes all inflight pollings and unregisters all subscribers. - void UnregisterAll(); - /// Check all subscribers, detect which subscribers are dead or its connection is timed /// out, and clean up their metadata. This uses the goal-oriented logic to clean up all /// metadata that can happen by subscriber failures. It is how it works; @@ -373,12 +365,12 @@ class Publisher : public PublisherInterface { mutable absl::Mutex mutex_; /// Mapping of node id -> subscribers. - absl::flat_hash_map> - subscribers_ ABSL_GUARDED_BY(mutex_); + absl::flat_hash_map> subscribers_ + ABSL_GUARDED_BY(mutex_); /// Index that stores the mapping of messages <-> subscribers. - absl::flat_hash_map - subscription_index_map_ ABSL_GUARDED_BY(mutex_); + absl::flat_hash_map subscription_index_map_ + ABSL_GUARDED_BY(mutex_); /// The maximum number of objects to publish for each publish calls. const int64_t publish_batch_size_; diff --git a/src/ray/pubsub/publisher_interface.h b/src/ray/pubsub/publisher_interface.h index 2ff6bafe7ecc..35bde4fab94a 100644 --- a/src/ray/pubsub/publisher_interface.h +++ b/src/ray/pubsub/publisher_interface.h @@ -16,9 +16,7 @@ #include -#include #include -#include #include "ray/common/id.h" #include "ray/rpc/server_call.h" @@ -34,10 +32,6 @@ class PublisherInterface { virtual ~PublisherInterface() = default; /// Handle a long poll request from `subscriber_id`. - /// - /// TODO(sang): Currently, we need to pass the callback for connection because we are - /// using long polling internally. This should be changed once the bidirectional grpc - /// streaming is supported. virtual void ConnectToSubscriber( const rpc::PubsubLongPollingRequest &request, std::string *publisher_id, @@ -50,8 +44,7 @@ class PublisherInterface { /// \param subscriber_id The ID of the subscriber. /// \param key_id The key_id that the subscriber is subscribing to. std::nullopt if /// subscribing to all. - /// \return True if registration is new. False otherwise. - virtual bool RegisterSubscription(const rpc::ChannelType channel_type, + virtual void RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) = 0; @@ -75,8 +68,7 @@ class PublisherInterface { /// \param channel_type The type of the channel. /// \param subscriber_id The ID of the subscriber. /// \param key_id The key_id of the subscriber. std::nullopt if subscribing to all. - /// \return True if erased. False otherwise. - virtual bool UnregisterSubscription(const rpc::ChannelType channel_type, + virtual void UnregisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, const std::optional &key_id) = 0; diff --git a/src/ray/pubsub/subscriber.h b/src/ray/pubsub/subscriber.h index 584c5a849452..44920840e6da 100644 --- a/src/ray/pubsub/subscriber.h +++ b/src/ray/pubsub/subscriber.h @@ -264,7 +264,6 @@ class Subscriber : public SubscriberInterface { /// FRIEND_TEST(IntegrationTest, SubscribersToOneIDAndAllIDs); - FRIEND_TEST(IntegrationTest, GcsFailsOver); FRIEND_TEST(SubscriberTest, TestBasicSubscription); FRIEND_TEST(SubscriberTest, TestSingleLongPollingWithMultipleSubscriptions); FRIEND_TEST(SubscriberTest, TestMultiLongPollingWithTheSameSubscription); diff --git a/src/ray/pubsub/tests/publisher_test.cc b/src/ray/pubsub/tests/publisher_test.cc index 4ce919eb94e8..17b728a38c4a 100644 --- a/src/ray/pubsub/tests/publisher_test.cc +++ b/src/ray/pubsub/tests/publisher_test.cc @@ -19,7 +19,6 @@ #include #include -#include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" @@ -28,20 +27,16 @@ namespace ray { namespace pubsub { + namespace { const NodeID kDefaultPublisherId = NodeID::FromRandom(); } -using pub_internal::SubscriberState; -using pub_internal::SubscriptionIndex; - class PublisherTest : public ::testing::Test { public: PublisherTest() : periodical_runner_(PeriodicalRunner::Create(io_service_)) {} - ~PublisherTest() {} - - void SetUp() { + void SetUp() override { publisher_ = std::make_shared( /*channels=*/ std::vector{ @@ -60,26 +55,23 @@ class PublisherTest : public ::testing::Test { request_.set_publisher_id(kDefaultPublisherId.Binary()); } - void TearDown() {} - void ResetSequenceId() { sequence_id_ = 0; } int64_t GetNextSequenceId() { return ++sequence_id_; } - const rpc::PubMessage GeneratePubMessage(const ObjectID &object_id, - int64_t sequence_id = 0) { + rpc::PubMessage GeneratePubMessage(const ObjectID &object_id, int64_t sequence_id = 0) { rpc::PubMessage pub_message; auto *object_eviction_msg = pub_message.mutable_worker_object_eviction_message(); object_eviction_msg->set_object_id(object_id.Binary()); pub_message.set_key_id(object_id.Binary()); pub_message.set_channel_type(rpc::ChannelType::WORKER_OBJECT_EVICTION); - RAY_LOG(INFO) << "message sequence_id is" << sequence_id; + RAY_LOG(INFO) << "message sequence_id is " << sequence_id; pub_message.set_sequence_id(sequence_id); return pub_message; } - const rpc::PubMessage GenerateErrorInfoMessage(const std::string &id, - const std::string &text) { + rpc::PubMessage GenerateErrorInfoMessage(const std::string &id, + const std::string &text) { rpc::PubMessage pub_message; auto *error_msg = pub_message.mutable_error_info_message(); error_msg->set_error_message(text); @@ -232,7 +224,7 @@ TEST_F(PublisherTest, TestSubscriptionIndexErase) { auto current = it++; auto subscriber_id = *current; oid_subscribers.erase(current); - ASSERT_EQ(subscription_index.EraseEntry(oid.Binary(), subscriber_id), 1); + subscription_index.EraseEntry(oid.Binary(), subscriber_id); i++; } const auto &subscribers_from_index = @@ -272,8 +264,8 @@ TEST_F(PublisherTest, TestSubscriptionIndexEraseMultiSubscribers) { subscription_index.AddEntry(oid.Binary(), subscriber_1); subscription_index.AddEntry(oid2.Binary(), subscriber_1); subscription_index.AddEntry(oid.Binary(), subscriber_2); - ASSERT_TRUE(subscription_index.EraseEntry(oid.Binary(), subscriber_id)); - ASSERT_FALSE(subscription_index.EraseEntry(oid.Binary(), subscriber_id)); + subscription_index.EraseEntry(oid.Binary(), subscriber_id); + subscription_index.EraseEntry(oid.Binary(), subscriber_id); } TEST_F(PublisherTest, TestSubscriptionIndexEraseSubscriber) { @@ -1048,24 +1040,19 @@ TEST_F(PublisherTest, TestUnregisterSubscription) { ASSERT_EQ(long_polling_connection_replied, false); // Connection should be replied (removed) when the subscriber is unregistered. - int erased = publisher_->UnregisterSubscription( + publisher_->UnregisterSubscription( rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); - ASSERT_EQ(erased, 1); ASSERT_EQ(long_polling_connection_replied, false); // Make sure when the entries don't exist, it doesn't delete anything. - ASSERT_EQ(publisher_->UnregisterSubscription(rpc::ChannelType::WORKER_OBJECT_EVICTION, - subscriber_id_, - ObjectID::FromRandom().Binary()), - 0); - ASSERT_EQ( - publisher_->UnregisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, NodeID::FromRandom(), oid.Binary()), - 0); - ASSERT_EQ(publisher_->UnregisterSubscription(rpc::ChannelType::WORKER_OBJECT_EVICTION, - NodeID::FromRandom(), - ObjectID::FromRandom().Binary()), - 0); + publisher_->UnregisterSubscription(rpc::ChannelType::WORKER_OBJECT_EVICTION, + subscriber_id_, + ObjectID::FromRandom().Binary()); + publisher_->UnregisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, NodeID::FromRandom(), oid.Binary()); + publisher_->UnregisterSubscription(rpc::ChannelType::WORKER_OBJECT_EVICTION, + NodeID::FromRandom(), + ObjectID::FromRandom().Binary()); ASSERT_EQ(long_polling_connection_replied, false); // Metadata won't be removed until we unregsiter the subscriber. publisher_->UnregisterSubscriber(subscriber_id_); @@ -1115,25 +1102,93 @@ TEST_F(PublisherTest, TestUnregisterSubscriber) { // Test if registration / unregistration is idempotent. TEST_F(PublisherTest, TestRegistrationIdempotency) { const auto oid = ObjectID::FromRandom(); - ASSERT_TRUE(publisher_->RegisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); - ASSERT_FALSE(publisher_->RegisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); - ASSERT_FALSE(publisher_->RegisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); - ASSERT_FALSE(publisher_->RegisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); - ASSERT_FALSE(publisher_->CheckNoLeaks()); - ASSERT_TRUE(publisher_->UnregisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); - ASSERT_FALSE(publisher_->UnregisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); + + // Double register and assert publish + publisher_->RegisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + publisher_->RegisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + publisher_->ConnectToSubscriber( + request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + [](Status, std::function, std::function) {}); + publisher_->Publish(GeneratePubMessage(oid)); + ASSERT_EQ(reply.publisher_id(), kDefaultPublisherId.Binary()); + ASSERT_EQ(reply.pub_messages().size(), 1); + reply = rpc::PubsubLongPollingReply(); + + // Reconnect, unregister and assert no publish messages + request_.set_max_processed_sequence_id(1); + publisher_->ConnectToSubscriber( + request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + [](Status, std::function, std::function) {}); + publisher_->UnregisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + publisher_->UnregisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + auto pub_message = GeneratePubMessage(oid); + publisher_->Publish(pub_message); + ASSERT_TRUE(reply.pub_messages().empty()); ASSERT_TRUE(publisher_->CheckNoLeaks()); - ASSERT_TRUE(publisher_->RegisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); + + // Register and connect. Then unregister a couple times and make sure there's no + // publish. + publisher_->RegisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + publisher_->ConnectToSubscriber( + request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + [](Status, std::function, std::function) {}); ASSERT_FALSE(publisher_->CheckNoLeaks()); - ASSERT_TRUE(publisher_->UnregisterSubscription( - rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary())); + publisher_->UnregisterSubscriber(subscriber_id_); + publisher_->UnregisterSubscriber(subscriber_id_); + publisher_->UnregisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + ASSERT_TRUE(publisher_->CheckNoLeaks()); + publisher_->Publish(GeneratePubMessage(oid)); + ASSERT_TRUE(reply.pub_messages().empty()); +} + +TEST_F(PublisherTest, TestSubscriberLostAPublish) { + const auto oid = ObjectID::FromRandom(); + send_reply_callback = [](Status, std::function, std::function) {}; + + // Subscriber registers and connects and publisher publishes. + publisher_->RegisterSubscription( + rpc::ChannelType::WORKER_OBJECT_EVICTION, subscriber_id_, oid.Binary()); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + publisher_->Publish(GeneratePubMessage(oid)); + ASSERT_EQ(reply.pub_messages().size(), 1); + reply = rpc::PubsubLongPollingReply(); + + // The publisher publishes while there's no active request, then the Subscriber retries + // the LongPollingRequest with the same max_sequence_id since it lost the reply from the + // publisher. The subscriber should get both the 1st and 2nd messages. + publisher_->Publish(GeneratePubMessage(oid)); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + ASSERT_EQ(reply.pub_messages().size(), 2); + auto max_processed = reply.pub_messages(1).sequence_id(); + reply = rpc::PubsubLongPollingReply(); + + // Subscriber got the reply this time, sends another request with a higher + // max_sequence_id, and then the publisher publishes. + request_.set_max_processed_sequence_id(max_processed); + publisher_->ConnectToSubscriber(request_, + reply.mutable_publisher_id(), + reply.mutable_pub_messages(), + send_reply_callback); + publisher_->Publish(GeneratePubMessage(oid)); + ASSERT_EQ(reply.pub_messages().size(), 1); } TEST_F(PublisherTest, TestPublishFailure) { diff --git a/src/ray/pubsub/tests/pubsub_integration_test.cc b/src/ray/pubsub/tests/pubsub_integration_test.cc index 626242d3befc..4f88012c91d1 100644 --- a/src/ray/pubsub/tests/pubsub_integration_test.cc +++ b/src/ray/pubsub/tests/pubsub_integration_test.cc @@ -304,11 +304,15 @@ TEST_F(IntegrationTest, SubscribersToOneIDAndAllIDs) { int wait_count = 0; while (!(subscriber_1->CheckNoLeaks() && subscriber_2->CheckNoLeaks())) { // Flush all the inflight long polling. - subscriber_service_->GetPublisher().UnregisterAll(); + subscriber_service_->GetPublisher().UnregisterSubscriber( + subscriber_1->subscriber_id_); + subscriber_service_->GetPublisher().UnregisterSubscriber( + subscriber_2->subscriber_id_); ASSERT_LT(wait_count, 60) << "Subscribers still have inflight operations after 60s"; ++wait_count; absl::SleepFor(absl::Seconds(1)); } } + } // namespace pubsub } // namespace ray diff --git a/src/ray/util/BUILD.bazel b/src/ray/util/BUILD.bazel index 749c95438b70..98e0c7a74860 100644 --- a/src/ray/util/BUILD.bazel +++ b/src/ray/util/BUILD.bazel @@ -199,14 +199,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "sample", - hdrs = ["sample.h"], - deps = [ - "@com_google_absl//absl/time", - ], -) - ray_cc_library( name = "cmd_line_utils", srcs = ["cmd_line_utils.cc"], diff --git a/src/ray/util/sample.h b/src/ray/util/sample.h deleted file mode 100644 index 886a4a1104e2..000000000000 --- a/src/ray/util/sample.h +++ /dev/null @@ -1,50 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include -#include - -#include "absl/time/clock.h" - -// Randomly samples num_elements from the elements between first and last using reservoir -// sampling. -template ::value_type> -void random_sample(Iterator begin, - Iterator end, - size_t num_elements, - std::vector *out) { - out->resize(0); - if (num_elements == 0) { - return; - } - - std::default_random_engine gen(absl::GetCurrentTimeNanos()); - size_t current_index = 0; - for (auto it = begin; it != end; it++) { - if (current_index < num_elements) { - out->push_back(*it); - } else { - size_t random_index = std::uniform_int_distribution(0, current_index)(gen); - if (random_index < num_elements) { - out->at(random_index) = *it; - } - } - current_index++; - } - return; -} diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index 20c5edd2f103..88854484df15 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -125,17 +125,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "sample_test", - size = "small", - srcs = ["sample_test.cc"], - tags = ["team:core"], - deps = [ - "//src/ray/util:sample", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "sequencer_test", size = "small", diff --git a/src/ray/util/tests/sample_test.cc b/src/ray/util/tests/sample_test.cc deleted file mode 100644 index 451cdf8f18b2..000000000000 --- a/src/ray/util/tests/sample_test.cc +++ /dev/null @@ -1,83 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/util/sample.h" - -#include - -#include - -namespace ray { - -class RandomSampleTest : public ::testing::Test { - protected: - std::vector *sample; - std::vector *test_vector; - virtual void SetUp() { - sample = new std::vector(); - test_vector = new std::vector(); - for (int i = 0; i < 10; i++) { - test_vector->push_back(i); - } - } - - virtual void TearDown() { - delete sample; - delete test_vector; - } -}; - -TEST_F(RandomSampleTest, TestEmpty) { - random_sample(test_vector->begin(), test_vector->end(), 0, sample); - ASSERT_EQ(sample->size(), 0); -} - -TEST_F(RandomSampleTest, TestSmallerThanSampleSize) { - random_sample( - test_vector->begin(), test_vector->end(), test_vector->size() + 1, sample); - ASSERT_EQ(sample->size(), test_vector->size()); -} - -TEST_F(RandomSampleTest, TestEqualToSampleSize) { - random_sample(test_vector->begin(), test_vector->end(), test_vector->size(), sample); - ASSERT_EQ(sample->size(), test_vector->size()); -} - -TEST_F(RandomSampleTest, TestLargerThanSampleSize) { - random_sample( - test_vector->begin(), test_vector->end(), test_vector->size() - 1, sample); - ASSERT_EQ(sample->size(), test_vector->size() - 1); -} - -TEST_F(RandomSampleTest, TestEqualOccurrenceChance) { - int trials = 1000000; - std::vector occurrences(test_vector->size(), 0); - for (int i = 0; i < trials; i++) { - random_sample( - test_vector->begin(), test_vector->end(), test_vector->size() / 2, sample); - for (int idx : *sample) { - occurrences[idx]++; - } - } - for (int count : occurrences) { - ASSERT_NEAR(trials / 2, count, 0.05 * trials / 2); - } -} - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} From 50c532ac21d9b2e47fd8026ade796253d97dd12a Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 28 Aug 2025 18:43:46 -0700 Subject: [PATCH 0944/1566] [core] Skip actor name deletion test on ray client (#56063) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index 99197d8217e2..5c738808ad8b 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -1677,6 +1677,10 @@ def method(self): assert result == "ok" +@pytest.mark.skipif( + client_test_enabled(), + reason="Out of scope actor cleanup doesn't work with Ray client.", +) def test_get_actor_after_same_name_actor_dead(shutdown_only): ACTOR_NAME = "test_actor" NAMESPACE_NAME = "test_namespace" From f01f4ce22b9f102dfce29b4a72acd20deb68c8ce Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Thu, 28 Aug 2025 18:59:41 -0700 Subject: [PATCH 0945/1566] [Data] Improved loading from column of URIs (#55824) ## Why are these changes needed? There are many use cases for Ray Data where you might have a column of URIs, that you want to transform into a column of bytes corresponding to the bytes in those URIs. Currently Ray Data does, not handle this use case very well because the incoming number of bytes is quite small relative to the size of the bytes loaded when loading the data from the URIs. This introduces a new code path that can be used to estimate the size of the files, allowing for more adequate block sizes to be used leading to increased performance. In followups, we will introduce additional code to allow users to efficiently decode the bytes that have been loaded from the URIs. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- doc/source/data/api/expressions.rst | 1 + python/ray/data/BUILD | 14 + .../logical/operators/map_operator.py | 26 ++ .../_internal/planner/plan_download_op.py | 220 ++++++++++++++++ .../data/_internal/planner/plan_udf_map_op.py | 48 +++- python/ray/data/_internal/planner/planner.py | 8 +- python/ray/data/dataset.py | 30 ++- python/ray/data/expressions.py | 44 ++++ .../data/tests/test_download_expression.py | 243 ++++++++++++++++++ 9 files changed, 615 insertions(+), 19 deletions(-) create mode 100644 python/ray/data/_internal/planner/plan_download_op.py create mode 100644 python/ray/data/tests/test_download_expression.py diff --git a/doc/source/data/api/expressions.rst b/doc/source/data/api/expressions.rst index 69c1a50c93d0..a613597fa087 100644 --- a/doc/source/data/api/expressions.rst +++ b/doc/source/data/api/expressions.rst @@ -19,6 +19,7 @@ Public API col lit + download Expression Classes ------------------ diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index bbe95eb076a1..c9273b2aec72 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -1449,6 +1449,20 @@ py_test( ], ) +py_test( + name = "test_download_expression", + size = "small", + srcs = ["tests/test_download_expression.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_context", size = "small", diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index 6b1bcefba5ad..8afee463aef1 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -360,3 +360,29 @@ def target_num_rows_per_block(self) -> int: def can_modify_num_rows(self) -> bool: return False + + +class Download(AbstractMap): + """Logical operator for download operation.""" + + def __init__( + self, + input_op: LogicalOperator, + uri_column_name: str, + output_bytes_column_name: str, + ray_remote_args: Optional[Dict[str, Any]] = None, + ): + super().__init__("Download", input_op, ray_remote_args=ray_remote_args) + self._uri_column_name = uri_column_name + self._output_bytes_column_name = output_bytes_column_name + + def can_modify_num_rows(self) -> bool: + return False + + @property + def uri_column_name(self) -> str: + return self._uri_column_name + + @property + def output_bytes_column_name(self) -> str: + return self._output_bytes_column_name diff --git a/python/ray/data/_internal/planner/plan_download_op.py b/python/ray/data/_internal/planner/plan_download_op.py new file mode 100644 index 000000000000..98617c4593b6 --- /dev/null +++ b/python/ray/data/_internal/planner/plan_download_op.py @@ -0,0 +1,220 @@ +import logging +import math +from concurrent.futures import ThreadPoolExecutor, as_completed +from typing import List +from urllib.parse import urlparse + +import pyarrow as pa + +import ray +from ray.data._internal.compute import ActorPoolStrategy, get_compute +from ray.data._internal.execution.interfaces import PhysicalOperator +from ray.data._internal.execution.operators.map_operator import MapOperator +from ray.data._internal.execution.operators.map_transformer import ( + BlockMapTransformFn, + MapTransformer, +) +from ray.data._internal.logical.operators.map_operator import Download +from ray.data._internal.util import RetryingPyFileSystem, make_async_gen +from ray.data.block import BlockAccessor +from ray.data.context import DataContext +from ray.data.datasource.path_util import _resolve_paths_and_filesystem + +logger = logging.getLogger(__name__) + +URI_DOWNLOAD_MAX_WORKERS = 16 + + +def plan_download_op( + op: Download, + physical_children: List[PhysicalOperator], + data_context: DataContext, +) -> MapOperator: + """Plan the download operation with partitioning and downloading stages.""" + assert len(physical_children) == 1 + input_physical_dag = physical_children[0] + compute = get_compute(op._compute) + uri_column_name = op.uri_column_name + output_bytes_column_name = op.output_bytes_column_name + + # Import _get_udf from the main planner file + from ray.data._internal.planner.plan_udf_map_op import ( + _generate_transform_fn_for_map_batches, + _get_udf, + ) + + # PartitionActor is a callable class, so we need ActorPoolStrategy + partition_compute = ActorPoolStrategy(size=1) # Use single actor for partitioning + + fn, init_fn = _get_udf(PartitionActor, (), {}, (uri_column_name, data_context), {}) + block_fn = _generate_transform_fn_for_map_batches(fn) + partition_transform_fns = [ + BlockMapTransformFn(block_fn), + ] + partition_map_transformer = MapTransformer(partition_transform_fns, init_fn) + partition_map_operator = MapOperator.create( + partition_map_transformer, + input_physical_dag, + data_context, + name="URIPartitioner", + compute_strategy=partition_compute, # Use actor-based compute for callable class + ray_remote_args=op._ray_remote_args, + ray_remote_args_fn=op._ray_remote_args_fn, + ) + + fn, init_fn = _get_udf( + download_bytes_threaded, + (uri_column_name, output_bytes_column_name, data_context), + {}, + None, + None, + ) + download_transform_fn = _generate_transform_fn_for_map_batches(fn) + transform_fns = [ + BlockMapTransformFn(download_transform_fn), + ] + download_map_transformer = MapTransformer(transform_fns, init_fn) + download_map_operator = MapOperator.create( + download_map_transformer, + partition_map_operator, + data_context, + name="URIDownloader", + compute_strategy=compute, + ray_remote_args=op._ray_remote_args, + ray_remote_args_fn=op._ray_remote_args_fn, + ) + + return download_map_operator + + +def uri_to_path(uri: str) -> str: + """Convert a URI to a filesystem path.""" + # TODO(mowen): urlparse might be slow. in the future we could use a faster alternative. + parsed = urlparse(uri) + if parsed.scheme == "file": + return parsed.path + return parsed.netloc + parsed.path + + +def download_bytes_threaded( + block, + uri_column_name, + output_bytes_column_name, + data_context: DataContext, +): + """Optimized version that uses make_async_gen for concurrent downloads.""" + if not isinstance(block, pa.Table): + block = BlockAccessor.for_block(block).to_arrow() + + # Extract URIs from PyArrow table + uris = block.column(uri_column_name).to_pylist() + + if len(uris) == 0: + return block + + paths, fs = _resolve_paths_and_filesystem(uris) + fs = RetryingPyFileSystem.wrap(fs, retryable_errors=data_context.retried_io_errors) + + def load_uri_bytes(uri_path_iterator): + """Function that takes an iterator of URI paths and yields downloaded bytes for each.""" + for uri_path in uri_path_iterator: + with fs.open_input_file(uri_path) as f: + yield f.read() + + # Use make_async_gen to download URI bytes concurrently + # This preserves the order of results to match the input URIs + uri_bytes = list( + make_async_gen( + base_iterator=iter(paths), + fn=load_uri_bytes, + preserve_ordering=True, + num_workers=URI_DOWNLOAD_MAX_WORKERS, + ) + ) + + # Add the new column to the PyArrow table + return block.add_column( + len(block.column_names), output_bytes_column_name, pa.array(uri_bytes) + ) + + +class PartitionActor: + """Actor that partitions download operations based on estimated file sizes.""" + + INIT_SAMPLE_BATCH_SIZE = 25 + + def __init__(self, uri_column_name: str, data_context: DataContext): + self._uri_column_name = uri_column_name + self._data_context = data_context + self._batch_size_estimate = None + + def _sample_sizes(self, uris): + """Fetch file sizes in parallel using ThreadPoolExecutor.""" + + def get_file_size(uri_path, fs): + try: + return fs.get_file_info(uri_path).size + except Exception: + return None + + # If no URIs, return empty list + if not uris: + return [] + + # Get the filesystem from the first URI + paths, fs = _resolve_paths_and_filesystem(uris) + fs = RetryingPyFileSystem.wrap( + fs, retryable_errors=self._data_context.retried_io_errors + ) + + # Use ThreadPoolExecutor for concurrent size fetching + file_sizes = [] + with ThreadPoolExecutor(max_workers=URI_DOWNLOAD_MAX_WORKERS) as executor: + # Submit all size fetch tasks + futures = [ + executor.submit(get_file_size, uri_path, fs) for uri_path in paths + ] + + # Collect results as they complete (order doesn't matter) + for future in as_completed(futures): + try: + size = future.result() + if size is not None: + file_sizes.append(size) + except Exception as e: + logger.warning(f"Error fetching file size for download: {e}") + + return file_sizes + + def _arrow_batcher(self, table, n): + """Batch a PyArrow table into smaller tables of size n using zero-copy slicing.""" + num_rows = table.num_rows + for i in range(0, num_rows, n): + end_idx = min(i + n, num_rows) + # Use PyArrow's zero-copy slice operation + batch_table = table.slice(i, end_idx - i) + yield batch_table + + def __call__(self, block): + if not isinstance(block, pa.Table): + block = BlockAccessor.for_block(block).to_arrow() + + if self._batch_size_estimate is None: + # Extract URIs from PyArrow table for sampling + uris = block.column(self._uri_column_name).to_pylist() + sample_uris = uris[: self.INIT_SAMPLE_BATCH_SIZE] + file_sizes = self._sample_sizes(sample_uris) + if not file_sizes or sum(file_sizes) == 0: + # Fallback to incoming block size if no file sizes could be determined + # or if the total size sampled is 0 + logger.warning( + "No file sizes could be determined, using incoming block size" + ) + self._batch_size_estimate = block.num_rows + else: + file_size_estimate = sum(file_sizes) / len(file_sizes) + ctx = ray.data.context.DatasetContext.get_current() + max_bytes = ctx.target_max_block_size + self._batch_size_estimate = math.floor(max_bytes / file_size_estimate) + + yield from self._arrow_batcher(block, self._batch_size_estimate) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index 945d67717f6b..940773dc0b43 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -5,7 +5,17 @@ import queue from threading import Thread from types import GeneratorType -from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, TypeVar +from typing import ( + Any, + Callable, + Dict, + Iterable, + Iterator, + List, + Optional, + Tuple, + TypeVar, +) import numpy as np import pandas as pd @@ -213,7 +223,14 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": zero_copy_batch=True, ) else: - filter_fn, init_fn = _get_udf(op) + udf_is_callable_class = isinstance(op._fn, CallableClass) + filter_fn, init_fn = _get_udf( + op._fn, + op._fn_args, + op._fn_kwargs, + op._fn_constructor_args if udf_is_callable_class else None, + op._fn_constructor_kwargs if udf_is_callable_class else None, + ) transform_fn = _generate_transform_fn_for_filter(filter_fn) map_transformer = _create_map_transformer_for_row_based_map_op( transform_fn, init_fn @@ -244,7 +261,14 @@ def plan_udf_map_op( input_physical_dag = physical_children[0] compute = get_compute(op._compute) - fn, init_fn = _get_udf(op) + udf_is_callable_class = isinstance(op._fn, CallableClass) + fn, init_fn = _get_udf( + op._fn, + op._fn_args, + op._fn_kwargs, + op._fn_constructor_args if udf_is_callable_class else None, + op._fn_constructor_kwargs if udf_is_callable_class else None, + ) if isinstance(op, MapBatches): transform_fn = _generate_transform_fn_for_map_batches(fn) @@ -280,17 +304,23 @@ def plan_udf_map_op( ) -def _get_udf(op: AbstractUDFMap): +def _get_udf( + op_fn: Callable, + op_fn_args: Tuple[Any, ...], + op_fn_kwargs: Dict[str, Any], + op_fn_constructor_args: Optional[Tuple[Any, ...]], + op_fn_constructor_kwargs: Optional[Dict[str, Any]], +): # Note, it's important to define these standalone variables. # So the parsed functions won't need to capture the entire operator, which may not # be serializable. - udf = op._fn - fn_args = op._fn_args or () - fn_kwargs = op._fn_kwargs or {} + udf = op_fn + fn_args = op_fn_args or () + fn_kwargs = op_fn_kwargs or {} if isinstance(udf, CallableClass): - fn_constructor_args = op._fn_constructor_args or () - fn_constructor_kwargs = op._fn_constructor_kwargs or {} + fn_constructor_args = op_fn_constructor_args or () + fn_constructor_kwargs = op_fn_constructor_kwargs or {} is_async_udf = _is_async_udf(udf.__call__) diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index 3b42c4ab7f91..371a238c33b5 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -26,6 +26,7 @@ from ray.data._internal.logical.operators.join_operator import Join from ray.data._internal.logical.operators.map_operator import ( AbstractUDFMap, + Download, Filter, Project, StreamingRepartition, @@ -36,6 +37,7 @@ from ray.data._internal.logical.operators.streaming_split_operator import StreamingSplit from ray.data._internal.logical.operators.write_operator import Write from ray.data._internal.planner.plan_all_to_all_op import plan_all_to_all_op +from ray.data._internal.planner.plan_download_op import plan_download_op from ray.data._internal.planner.plan_read_op import plan_read_op from ray.data._internal.planner.plan_udf_map_op import ( plan_filter_op, @@ -157,6 +159,7 @@ class Planner: StreamingRepartition: plan_streaming_repartition_op, Join: plan_join_op, StreamingSplit: plan_streaming_split_op, + Download: plan_download_op, } def plan(self, logical_plan: LogicalPlan) -> PhysicalPlan: @@ -214,8 +217,11 @@ def _plan_recursively( break curr_physical_op.set_logical_operators(logical_op) - queue.extend(physical_op.input_dependencies) + # Add this operator to the op_map so optimizer can find it + op_map[curr_physical_op] = logical_op + queue.extend(curr_physical_op.input_dependencies) + # Also add the final operator (in case the loop didn't catch it) op_map[physical_op] = logical_op return physical_op, op_map diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 2254cc7fb90a..4c0aa0d465cc 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -808,17 +808,29 @@ def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Datas Returns: A new dataset with the added column evaluated via the expression. """ - from ray.data._internal.logical.operators.map_operator import Project + from ray.data._internal.logical.operators.map_operator import Download, Project + + # TODO: Once the expression API supports UDFs, we can clean up the code here. + from ray.data.expressions import DownloadExpr plan = self._plan.copy() - project_op = Project( - self._logical_plan.dag, - cols=None, - cols_rename=None, - exprs={column_name: expr}, - ray_remote_args=ray_remote_args, - ) - logical_plan = LogicalPlan(project_op, self.context) + if isinstance(expr, DownloadExpr): + download_op = Download( + self._logical_plan.dag, + uri_column_name=expr.uri_column_name, + output_bytes_column_name=column_name, + ray_remote_args=ray_remote_args, + ) + logical_plan = LogicalPlan(download_op, self.context) + else: + project_op = Project( + self._logical_plan.dag, + cols=None, + cols_rename=None, + exprs={column_name: expr}, + ray_remote_args=ray_remote_args, + ) + logical_plan = LogicalPlan(project_op, self.context) return Dataset(plan, logical_plan) @PublicAPI(api_group=BT_API_GROUP) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index 3ba8f48356da..597b6c19effe 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -239,6 +239,20 @@ def structurally_equals(self, other: Any) -> bool: ) +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class DownloadExpr(Expr): + """Expression that represents a download operation.""" + + uri_column_name: str + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, DownloadExpr) + and self.uri_column_name == other.uri_column_name + ) + + @PublicAPI(stability="beta") def col(name: str) -> ColumnExpr: """ @@ -301,6 +315,34 @@ def lit(value: Any) -> LiteralExpr: return LiteralExpr(value) +@DeveloperAPI(stability="alpha") +def download(uri_column_name: str) -> DownloadExpr: + """ + Create a download expression that downloads content from URIs. + + This creates an expression that will download bytes from URIs stored in + a specified column. When evaluated, it will fetch the content from each URI + and return the downloaded bytes. + + Args: + uri_column_name: The name of the column containing URIs to download from + Returns: + A DownloadExpr that will download content from the specified URI column + + Example: + >>> from ray.data.expressions import download + >>> import ray + >>> # Create dataset with URIs + >>> ds = ray.data.from_items([ + ... {"uri": "s3://bucket/file1.jpg", "id": "1"}, + ... {"uri": "s3://bucket/file2.jpg", "id": "2"} + ... ]) + >>> # Add downloaded bytes column + >>> ds_with_bytes = ds.with_column("bytes", download("uri")) + """ + return DownloadExpr(uri_column_name=uri_column_name) + + # ────────────────────────────────────── # Public API for evaluation # ────────────────────────────────────── @@ -314,6 +356,8 @@ def lit(value: Any) -> LiteralExpr: "ColumnExpr", "LiteralExpr", "BinaryExpr", + "DownloadExpr", "col", "lit", + "download", ] diff --git a/python/ray/data/tests/test_download_expression.py b/python/ray/data/tests/test_download_expression.py new file mode 100644 index 000000000000..53aa28318cd4 --- /dev/null +++ b/python/ray/data/tests/test_download_expression.py @@ -0,0 +1,243 @@ +import io + +import pyarrow as pa +import pytest +from PIL import Image + +import ray +from ray.data.expressions import DownloadExpr, col, download + + +class TestDownloadExpressionStructure: + """Test DownloadExpr structural equality and basic properties.""" + + def test_download_expression_creation(self): + """Test that download() creates a DownloadExpr with correct properties.""" + expr = download("uri_column") + + assert isinstance(expr, DownloadExpr) + assert expr.uri_column_name == "uri_column" + + def test_download_expression_structural_equality(self): + """Test structural equality comparison for download expressions.""" + # Same expressions should be equal + expr1 = download("uri") + expr2 = download("uri") + assert expr1.structurally_equals(expr2) + assert expr2.structurally_equals(expr1) + + # Different URI column names should not be equal + expr3 = download("different_uri") + assert not expr1.structurally_equals(expr3) + assert not expr3.structurally_equals(expr1) + + # Compare with non-DownloadExpr + non_download_expr = col("uri") + assert not expr1.structurally_equals(non_download_expr) + assert not non_download_expr.structurally_equals(expr1) + + +class TestDownloadExpressionFunctionality: + """Test actual download functionality with real and mocked data.""" + + def test_download_expression_with_local_files(self, tmp_path): + """Test basic download expression functionality with local files.""" + # Create sample files with different content types + sample_data = [ + b"This is test file 1 content", + b"Different content for file 2", + b"File 3 has some binary data: \x00\x01\x02\x03", + ] + + file_paths = [] + for i, data in enumerate(sample_data): + file_path = tmp_path / f"test_file_{i}.txt" + file_path.write_bytes(data) + file_paths.append(str(file_path)) + + # Create dataset with file URIs and metadata + table = pa.Table.from_arrays( + [ + pa.array([f"local://{path}" for path in file_paths]), + pa.array([f"id_{i}" for i in range(len(file_paths))]), + pa.array([f"metadata_{i}" for i in range(len(file_paths))]), + pa.array(range(len(file_paths))), + ], + names=["file_uri", "file_id", "metadata", "index"], + ) + + ds = ray.data.from_arrow(table) + + # Add download column using expression + ds_with_downloads = ds.with_column("file_bytes", download("file_uri")) + + # Verify results + results = ds_with_downloads.take_all() + assert len(results) == len(sample_data) + + for i, result in enumerate(results): + # Download column should be added correctly + assert "file_bytes" in result + assert result["file_bytes"] == sample_data[i] + + # All original columns should be preserved + assert result["file_id"] == f"id_{i}" + assert result["metadata"] == f"metadata_{i}" + assert result["index"] == i + assert result["file_uri"] == f"local://{file_paths[i]}" + + def test_download_expression_empty_dataset(self): + """Test download expression with empty dataset.""" + # Create empty dataset with correct schema + table = pa.Table.from_arrays( + [ + pa.array([], type=pa.string()), + ], + names=["uri"], + ) + + ds = ray.data.from_arrow(table) + ds_with_downloads = ds.with_column("bytes", download("uri")) + + results = ds_with_downloads.take_all() + assert len(results) == 0 + + def test_download_expression_with_different_file_types(self, tmp_path): + """Test download expression with various file types including actual images.""" + # Create a small 8x8 RGB image + small_image = Image.new("RGB", (8, 8), color=(255, 0, 0)) # Red 8x8 image + image_buffer = io.BytesIO() + small_image.save(image_buffer, format="PNG") + image_bytes = image_buffer.getvalue() + + # Create files with different types of content + test_files = [ + ("text_file.txt", b"Simple text content"), + ("binary_file.dat", b"\x00\x01\x02\x03\x04\x05"), + ("json_file.json", b'{"key": "value", "number": 123}'), + ("small_image.png", image_bytes), # Actual PNG image (primary use case) + ("empty_file.txt", b""), # Empty file edge case + ] + + file_paths = [] + expected_data = [] + for filename, content in test_files: + file_path = tmp_path / filename + file_path.write_bytes(content) + file_paths.append(str(file_path)) + expected_data.append(content) + + # Create dataset + table = pa.Table.from_arrays( + [ + pa.array([f"local://{path}" for path in file_paths]), + pa.array( + [f.split(".")[0] for f, _ in test_files] + ), # filename without extension + ], + names=["file_uri", "file_type"], + ) + + ds = ray.data.from_arrow(table) + ds_with_downloads = ds.with_column("content", download("file_uri")) + + results = ds_with_downloads.take_all() + assert len(results) == len(test_files) + + for i, result in enumerate(results): + assert result["content"] == expected_data[i] + assert result["file_type"] == test_files[i][0].split(".")[0] + + # Special verification for image file - ensure it can be loaded as an image + if test_files[i][0].endswith(".png"): + downloaded_image = Image.open(io.BytesIO(result["content"])) + assert downloaded_image.size == (8, 8) + assert downloaded_image.mode == "RGB" + + +class TestDownloadExpressionErrors: + """Test error conditions and edge cases for download expressions.""" + + def test_download_expression_invalid_uri_column(self): + """Test download expression with non-existent URI column.""" + table = pa.Table.from_arrays( + [ + pa.array(["local://test.txt"]), + ], + names=["existing_column"], + ) + + ds = ray.data.from_arrow(table) + ds_with_downloads = ds.with_column("bytes", download("non_existent_column")) + + # Should raise error when trying to execute + with pytest.raises(Exception): # Could be KeyError or similar + ds_with_downloads.take_all() + + def test_download_expression_with_null_uris(self): + """Test download expression handling of null/empty URIs.""" + table = pa.Table.from_arrays( + [ + pa.array(["local://test.txt", None, ""]), + ], + names=["uri"], + ) + + ds = ray.data.from_arrow(table) + ds_with_downloads = ds.with_column("bytes", download("uri")) + + # Should handle nulls gracefully (exact behavior may vary) + # This test mainly ensures no crash occurs + try: + results = ds_with_downloads.take_all() + # If it succeeds, verify structure is reasonable + assert len(results) == 3 + for result in results: + assert "bytes" in result + except Exception as e: + # If it fails, should be a reasonable error (not a crash) + assert isinstance(e, (ValueError, KeyError, RuntimeError)) + + +class TestDownloadExpressionIntegration: + """Integration tests combining download expressions with other Ray Data operations.""" + + def test_download_expression_with_map_batches(self, tmpdir): + """Test download expression followed by map_batches processing.""" + # Create a test file + test_file = tmpdir.join("test.txt") + test_content = b"Hello, World!" + test_file.write_binary(test_content) + + # Create dataset + table = pa.Table.from_arrays( + [ + pa.array([f"local://{test_file}"]), + ], + names=["uri"], + ) + + ds = ray.data.from_arrow(table) + + # Download then process + ds_with_content = ds.with_column("raw_bytes", download("uri")) + + def decode_bytes(batch): + # Access the specific column containing the bytes data + batch["decoded_text"] = [ + data.decode("utf-8") for data in batch["raw_bytes"] + ] + return batch + + ds_decoded = ds_with_content.map_batches(decode_bytes) + results = ds_decoded.take_all() + + assert len(results) == 1 + assert results[0]["decoded_text"] == "Hello, World!" + assert results[0]["raw_bytes"] == test_content + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) From 479c0838f5081a702435805082a717bc91b58b58 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 28 Aug 2025 20:41:17 -0700 Subject: [PATCH 0946/1566] [Data] UDF Expression Support for with_column (#55788) Signed-off-by: Douglas Strodtman --- doc/source/data/api/api.rst | 2 +- doc/source/data/api/expressions.rst | 3 +- python/ray/data/_expression_evaluator.py | 27 +- python/ray/data/block.py | 5 + python/ray/data/dataset.py | 37 ++- python/ray/data/expressions.py | 142 +++++++++- python/ray/data/tests/test_map.py | 344 ++++++++++++++++++++++- 7 files changed, 544 insertions(+), 16 deletions(-) diff --git a/doc/source/data/api/api.rst b/doc/source/data/api/api.rst index e0d0e94d9480..2926be209658 100644 --- a/doc/source/data/api/api.rst +++ b/doc/source/data/api/api.rst @@ -16,4 +16,4 @@ Ray Data API data_context.rst preprocessor.rst llm.rst - from_other_data_libs.rst + from_other_data_libs.rst \ No newline at end of file diff --git a/doc/source/data/api/expressions.rst b/doc/source/data/api/expressions.rst index a613597fa087..3e73a314b3bf 100644 --- a/doc/source/data/api/expressions.rst +++ b/doc/source/data/api/expressions.rst @@ -1,7 +1,7 @@ .. _expressions-api: Expressions API -=============== +================ .. currentmodule:: ray.data.expressions @@ -19,6 +19,7 @@ Public API col lit + udf download Expression Classes diff --git a/python/ray/data/_expression_evaluator.py b/python/ray/data/_expression_evaluator.py index 370ef90b83bc..26642055aa2e 100644 --- a/python/ray/data/_expression_evaluator.py +++ b/python/ray/data/_expression_evaluator.py @@ -3,16 +3,19 @@ import operator from typing import Any, Callable, Dict +import numpy as np import pandas as pd import pyarrow as pa import pyarrow.compute as pc +from ray.data.block import DataBatch from ray.data.expressions import ( BinaryExpr, ColumnExpr, Expr, LiteralExpr, Operation, + UDFExpr, ) _PANDAS_EXPR_OPS_MAP = { @@ -44,7 +47,9 @@ } -def _eval_expr_recursive(expr: "Expr", batch, ops: Dict["Operation", Callable]) -> Any: +def _eval_expr_recursive( + expr: "Expr", batch: DataBatch, ops: Dict["Operation", Callable[..., Any]] +) -> Any: """Generic recursive expression evaluator.""" # TODO: Separate unresolved expressions (arbitrary AST with unresolved refs) # and resolved expressions (bound to a schema) for better error handling @@ -58,10 +63,26 @@ def _eval_expr_recursive(expr: "Expr", batch, ops: Dict["Operation", Callable]) _eval_expr_recursive(expr.left, batch, ops), _eval_expr_recursive(expr.right, batch, ops), ) - raise TypeError(f"Unsupported expression node: {type(expr).__name__}") + if isinstance(expr, UDFExpr): + args = [_eval_expr_recursive(arg, batch, ops) for arg in expr.args] + kwargs = { + k: _eval_expr_recursive(v, batch, ops) for k, v in expr.kwargs.items() + } + result = expr.fn(*args, **kwargs) + # Can't perform type validation for unions if python version is < 3.10 + if not isinstance(result, (pd.Series, np.ndarray, pa.Array, pa.ChunkedArray)): + function_name = expr.fn.__name__ + raise TypeError( + f"UDF '{function_name}' returned invalid type {type(result).__name__}. " + f"Expected type (pandas.Series, numpy.ndarray, pyarrow.Array, or pyarrow.ChunkedArray)" + ) -def eval_expr(expr: "Expr", batch) -> Any: + return result + raise TypeError(f"Unsupported expression node: {type(expr).__name__}") + + +def eval_expr(expr: "Expr", batch: DataBatch) -> Any: """Recursively evaluate *expr* against a batch of the appropriate type.""" if isinstance(batch, pd.DataFrame): return _eval_expr_recursive(expr, batch, _PANDAS_EXPR_OPS_MAP) diff --git a/python/ray/data/block.py b/python/ray/data/block.py index d0edaf4a8574..073033d1ef1e 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -57,6 +57,11 @@ # Represents a single column of the ``Block`` BlockColumn = Union["pyarrow.ChunkedArray", "pyarrow.Array", "pandas.Series"] +# Represents a single column of the ``Batch`` +BatchColumn = Union[ + "pandas.Series", "np.ndarray", "pyarrow.Array", "pyarrow.ChunkedArray" +] + logger = logging.getLogger(__name__) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 4c0aa0d465cc..079ac1f0fcf7 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -783,31 +783,50 @@ def _map_batches_without_batch_size_validation( return Dataset(plan, logical_plan) @PublicAPI(api_group=EXPRESSION_API_GROUP, stability="alpha") - def with_column(self, column_name: str, expr: Expr, **ray_remote_args) -> "Dataset": + def with_column( + self, + column_name: str, + expr: Expr, + **ray_remote_args, + ) -> "Dataset": """ Add a new column to the dataset via an expression. - Examples: + This method allows you to add a new column to a dataset by applying an + expression. The expression can be composed of existing columns, literals, + and user-defined functions (UDFs). + Examples: >>> import ray >>> from ray.data.expressions import col >>> ds = ray.data.range(100) - >>> ds.with_column("id_2", (col("id") * 2)).schema() - Column Type - ------ ---- - id int64 - id_2 int64 + >>> # Add a new column 'id_2' by multiplying 'id' by 2. + >>> ds.with_column("id_2", col("id") * 2).show(2) + {'id': 0, 'id_2': 0} + {'id': 1, 'id_2': 2} + + >>> # Using a UDF with with_column + >>> from ray.data.expressions import udf + >>> import pyarrow.compute as pc + >>> + >>> @udf() + ... def add_one(column): + ... return pc.add(column, 1) + >>> + >>> ds.with_column("id_plus_one", add_one(col("id"))).show(2) + {'id': 0, 'id_plus_one': 1} + {'id': 1, 'id_plus_one': 2} Args: column_name: The name of the new column. expr: An expression that defines the new column values. **ray_remote_args: Additional resource requirements to request from - Ray (e.g., num_gpus=1 to request GPUs for the map tasks). See - :func:`ray.remote` for details. + Ray for the map tasks (e.g., `num_gpus=1`). Returns: A new dataset with the added column evaluated via the expression. """ + # TODO: update schema based on the expression AST. from ray.data._internal.logical.operators.map_operator import Download, Project # TODO: Once the expression API supports UDFs, we can clean up the code here. diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index 597b6c19effe..fa99ae638eab 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -1,10 +1,12 @@ from __future__ import annotations +import functools from abc import ABC, abstractmethod from dataclasses import dataclass from enum import Enum -from typing import Any +from typing import Any, Callable, Dict, List +from ray.data.block import BatchColumn from ray.util.annotations import DeveloperAPI, PublicAPI @@ -239,6 +241,142 @@ def structurally_equals(self, other: Any) -> bool: ) +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class UDFExpr(Expr): + """Expression that represents a user-defined function call. + + This expression type wraps a UDF with schema inference capabilities, + allowing UDFs to be used seamlessly within the expression system. + + UDFs operate on batches of data, where each column argument is passed + as a PyArrow Array containing multiple values from that column across the batch. + + Args: + fn: The user-defined function to call + args: List of argument expressions (positional arguments) + kwargs: Dictionary of keyword argument expressions + function_name: Optional name for the function (for debugging) + + Example: + >>> from ray.data.expressions import col, udf + >>> import pyarrow as pa + >>> import pyarrow.compute as pc + >>> + >>> @udf() + ... def add_one(x: pa.Array) -> pa.Array: + ... return pc.add(x, 1) + >>> + >>> # Use in expressions + >>> expr = add_one(col("value")) + """ + + fn: Callable[..., BatchColumn] + args: List[Expr] + kwargs: Dict[str, Expr] + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, UDFExpr) + and self.fn == other.fn + and len(self.args) == len(other.args) + and all(a.structurally_equals(b) for a, b in zip(self.args, other.args)) + and self.kwargs.keys() == other.kwargs.keys() + and all( + self.kwargs[k].structurally_equals(other.kwargs[k]) + for k in self.kwargs.keys() + ) + ) + + +def _create_udf_callable(fn: Callable[..., BatchColumn]) -> Callable[..., UDFExpr]: + """Create a callable that generates UDFExpr when called with expressions.""" + + def udf_callable(*args, **kwargs) -> UDFExpr: + # Convert arguments to expressions if they aren't already + expr_args = [] + for arg in args: + if isinstance(arg, Expr): + expr_args.append(arg) + else: + expr_args.append(LiteralExpr(arg)) + + expr_kwargs = {} + for k, v in kwargs.items(): + if isinstance(v, Expr): + expr_kwargs[k] = v + else: + expr_kwargs[k] = LiteralExpr(v) + + return UDFExpr( + fn=fn, + args=expr_args, + kwargs=expr_kwargs, + ) + + # Preserve original function metadata + functools.update_wrapper(udf_callable, fn) + + # Store the original function for access if needed + udf_callable._original_fn = fn + + return udf_callable + + +@PublicAPI(stability="alpha") +def udf() -> Callable[..., UDFExpr]: + """ + Decorator to convert a UDF into an expression-compatible function. + + This decorator allows UDFs to be used seamlessly within the expression system, + enabling schema inference and integration with other expressions. + + IMPORTANT: UDFs operate on batches of data, not individual rows. When your UDF + is called, each column argument will be passed as a PyArrow Array containing + multiple values from that column across the batch. Under the hood, when working + with multiple columns, they get translated to PyArrow arrays (one array per column). + + Returns: + A callable that creates UDFExpr instances when called with expressions + + Example: + >>> from ray.data.expressions import col, udf + >>> import pyarrow as pa + >>> import pyarrow.compute as pc + >>> import ray + >>> + >>> # UDF that operates on a batch of values (PyArrow Array) + >>> @udf() + ... def add_one(x: pa.Array) -> pa.Array: + ... return pc.add(x, 1) # Vectorized operation on the entire Array + >>> + >>> # UDF that combines multiple columns (each as a PyArrow Array) + >>> @udf() + ... def format_name(first: pa.Array, last: pa.Array) -> pa.Array: + ... return pc.binary_join_element_wise(first, last, " ") # Vectorized string concatenation + >>> + >>> # Use in dataset operations + >>> ds = ray.data.from_items([ + ... {"value": 5, "first": "John", "last": "Doe"}, + ... {"value": 10, "first": "Jane", "last": "Smith"} + ... ]) + >>> + >>> # Single column transformation (operates on batches) + >>> ds_incremented = ds.with_column("value_plus_one", add_one(col("value"))) + >>> + >>> # Multi-column transformation (each column becomes a PyArrow Array) + >>> ds_formatted = ds.with_column("full_name", format_name(col("first"), col("last"))) + >>> + >>> # Can also be used in complex expressions + >>> ds_complex = ds.with_column("doubled_plus_one", add_one(col("value")) * 2) + """ + + def decorator(func: Callable[..., BatchColumn]) -> Callable[..., UDFExpr]: + return _create_udf_callable(func) + + return decorator + + @DeveloperAPI(stability="alpha") @dataclass(frozen=True, eq=False) class DownloadExpr(Expr): @@ -356,6 +494,8 @@ def download(uri_column_name: str) -> DownloadExpr: "ColumnExpr", "LiteralExpr", "BinaryExpr", + "UDFExpr", + "udf", "DownloadExpr", "col", "lit", diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 0bfb35f68f17..6b72f2e6b972 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -35,7 +35,7 @@ ) from ray.data.context import DataContext from ray.data.exceptions import UserCodeException -from ray.data.expressions import col, lit +from ray.data.expressions import col, lit, udf from ray.data.tests.conftest import * # noqa from ray.data.tests.test_util import ConcurrencyCounter # noqa from ray.data.tests.util import column_udf, extract_values @@ -2368,6 +2368,348 @@ def test_with_column_multiple_expressions( assert set(ds.schema().names) == {"id", "plus_one", "times_two", "ten_minus_id"} +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "udf_function, column_name, expected_result", + [ + # Single column UDF - add one to each value + pytest.param( + lambda: udf()(lambda x: pc.add(x, 1)), + "add_one", + 1, # 0 + 1 = 1 + id="single_column_add_one", + ), + # Single column UDF - multiply by 2 + pytest.param( + lambda: udf()(lambda x: pc.multiply(x, 2)), + "times_two", + 0, # 0 * 2 = 0 + id="single_column_multiply", + ), + # Single column UDF - square the value + pytest.param( + lambda: udf()(lambda x: pc.multiply(x, x)), + "squared", + 0, # 0 * 0 = 0 + id="single_column_square", + ), + # Single column UDF with string return type + pytest.param( + lambda: udf()(lambda x: pc.cast(x, pa.string())), + "id_str", + "0", # Convert 0 to "0" + id="single_column_to_string", + ), + # Single column UDF with float return type + pytest.param( + lambda: udf()(lambda x: pc.divide(x, 2.0)), + "half", + 0.0, # 0 / 2.0 = 0.0 + id="single_column_divide_float", + ), + ], +) +def test_with_column_udf_single_column( + ray_start_regular_shared, + udf_function, + column_name, + expected_result, + target_max_block_size_infinite_or_default, +): + """Test UDFExpr functionality with single column operations in with_column.""" + ds = ray.data.range(5) + udf_fn = udf_function() + + # Apply the UDF to the "id" column + ds_with_udf = ds.with_column(column_name, udf_fn(col("id"))) + + result = ds_with_udf.take(1)[0] + assert result["id"] == 0 + assert result[column_name] == expected_result + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "test_scenario", + [ + # Multi-column UDF - add two columns + pytest.param( + { + "data": [{"a": 1, "b": 2}, {"a": 3, "b": 4}], + "udf": lambda: udf()(lambda x, y: pc.add(x, y)), + "column_name": "sum_ab", + "expected_first": 3, # 1 + 2 = 3 + "expected_second": 7, # 3 + 4 = 7 + }, + id="multi_column_add", + ), + # Multi-column UDF - multiply two columns + pytest.param( + { + "data": [{"x": 2, "y": 3}, {"x": 4, "y": 5}], + "udf": lambda: udf()(lambda x, y: pc.multiply(x, y)), + "column_name": "product_xy", + "expected_first": 6, # 2 * 3 = 6 + "expected_second": 20, # 4 * 5 = 20 + }, + id="multi_column_multiply", + ), + # Multi-column UDF - string concatenation + pytest.param( + { + "data": [ + {"first": "John", "last": "Doe"}, + {"first": "Jane", "last": "Smith"}, + ], + "udf": lambda: udf()( + lambda first, last: pc.binary_join_element_wise(first, last, " ") + ), + "column_name": "full_name", + "expected_first": "John Doe", + "expected_second": "Jane Smith", + }, + id="multi_column_string_concat", + ), + ], +) +def test_with_column_udf_multi_column( + ray_start_regular_shared, + test_scenario, + target_max_block_size_infinite_or_default, +): + """Test UDFExpr functionality with multi-column operations in with_column.""" + data = test_scenario["data"] + udf_fn = test_scenario["udf"]() + column_name = test_scenario["column_name"] + expected_first = test_scenario["expected_first"] + expected_second = test_scenario["expected_second"] + + ds = ray.data.from_items(data) + + # Apply UDF to multiple columns based on the scenario + if "a" in data[0] and "b" in data[0]: + ds_with_udf = ds.with_column(column_name, udf_fn(col("a"), col("b"))) + elif "x" in data[0] and "y" in data[0]: + ds_with_udf = ds.with_column(column_name, udf_fn(col("x"), col("y"))) + else: # first/last name scenario + ds_with_udf = ds.with_column(column_name, udf_fn(col("first"), col("last"))) + + results = ds_with_udf.take(2) + assert results[0][column_name] == expected_first + assert results[1][column_name] == expected_second + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "expression_scenario", + [ + # UDF in arithmetic expression + pytest.param( + { + "expression_factory": lambda add_one_udf: add_one_udf(col("id")) * 2, + "expected": 2, # (0 + 1) * 2 = 2 + "column_name": "udf_times_two", + }, + id="udf_in_arithmetic", + ), + # UDF with literal addition + pytest.param( + { + "expression_factory": lambda add_one_udf: add_one_udf(col("id")) + + lit(10), + "expected": 11, # (0 + 1) + 10 = 11 + "column_name": "udf_plus_literal", + }, + id="udf_plus_literal", + ), + # UDF in comparison + pytest.param( + { + "expression_factory": lambda add_one_udf: add_one_udf(col("id")) > 0, + "expected": True, # (0 + 1) > 0 = True + "column_name": "udf_comparison", + }, + id="udf_in_comparison", + ), + # Nested UDF operations (UDF + regular expression) + pytest.param( + { + "expression_factory": lambda add_one_udf: add_one_udf(col("id") + 5), + "expected": 6, # add_one(0 + 5) = add_one(5) = 6 + "column_name": "nested_udf", + }, + id="nested_udf_expression", + ), + ], +) +def test_with_column_udf_in_complex_expressions( + ray_start_regular_shared, + expression_scenario, + target_max_block_size_infinite_or_default, +): + """Test UDFExpr functionality in complex expressions with with_column.""" + ds = ray.data.range(5) + + # Create a simple add_one UDF for use in expressions + @udf() + def add_one(x: pa.Array) -> pa.Array: + return pc.add(x, 1) + + expression = expression_scenario["expression_factory"](add_one) + expected = expression_scenario["expected"] + column_name = expression_scenario["column_name"] + + ds_with_expr = ds.with_column(column_name, expression) + + result = ds_with_expr.take(1)[0] + assert result["id"] == 0 + assert result[column_name] == expected + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_udf_multiple_udfs( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): + """Test applying multiple UDFs in sequence with with_column.""" + ds = ray.data.range(5) + + # Define multiple UDFs + @udf() + def add_one(x: pa.Array) -> pa.Array: + return pc.add(x, 1) + + @udf() + def multiply_by_two(x: pa.Array) -> pa.Array: + return pc.multiply(x, 2) + + @udf() + def divide_by_three(x: pa.Array) -> pa.Array: + return pc.divide(x, 3.0) + + # Apply UDFs in sequence + ds = ds.with_column("plus_one", add_one(col("id"))) + ds = ds.with_column("times_two", multiply_by_two(col("plus_one"))) + ds = ds.with_column("div_three", divide_by_three(col("times_two"))) + + # Convert to pandas and compare with expected result + result_df = ds.to_pandas() + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "plus_one": [1, 2, 3, 4, 5], # id + 1 + "times_two": [2, 4, 6, 8, 10], # (id + 1) * 2 + "div_three": [ + 2.0 / 3.0, + 4.0 / 3.0, + 2.0, + 8.0 / 3.0, + 10.0 / 3.0, + ], # ((id + 1) * 2) / 3 + } + ) + + pd.testing.assert_frame_equal(result_df, expected_df) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_mixed_udf_and_regular_expressions( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): + """Test mixing UDF expressions and regular expressions in with_column operations.""" + ds = ray.data.range(5) + + # Define a UDF for testing + @udf() + def multiply_by_three(x: pa.Array) -> pa.Array: + return pc.multiply(x, 3) + + # Mix regular expressions and UDF expressions + ds = ds.with_column("plus_ten", col("id") + 10) # Regular expression + ds = ds.with_column("times_three", multiply_by_three(col("id"))) # UDF expression + ds = ds.with_column("minus_five", col("id") - 5) # Regular expression + ds = ds.with_column( + "udf_plus_regular", multiply_by_three(col("id")) + col("plus_ten") + ) # Mixed: UDF + regular + ds = ds.with_column( + "comparison", col("times_three") > col("plus_ten") + ) # Regular expression using UDF result + + # Convert to pandas and compare with expected result + result_df = ds.to_pandas() + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "plus_ten": [10, 11, 12, 13, 14], # id + 10 + "times_three": [0, 3, 6, 9, 12], # id * 3 + "minus_five": [-5, -4, -3, -2, -1], # id - 5 + "udf_plus_regular": [10, 14, 18, 22, 26], # (id * 3) + (id + 10) + "comparison": [False, False, False, False, False], # times_three > plus_ten + } + ) + + pd.testing.assert_frame_equal(result_df, expected_df) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_udf_invalid_return_type_validation( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): + """Test that UDFs returning invalid types raise TypeError with clear message.""" + ds = ray.data.range(3) + + # Test UDF returning invalid type (dict) + @udf() + def invalid_dict_return(x: pa.Array) -> dict: + return {"invalid": "return_type"} + + # Test UDF returning invalid type (str) + @udf() + def invalid_str_return(x: pa.Array) -> str: + return "invalid_string" + + # Test UDF returning invalid type (int) + @udf() + def invalid_int_return(x: pa.Array) -> int: + return 42 + + # Test each invalid return type + test_cases = [ + (invalid_dict_return, "dict"), + (invalid_str_return, "str"), + (invalid_int_return, "int"), + ] + + for invalid_udf, expected_type_name in test_cases: + with pytest.raises((RayTaskError, UserCodeException)) as exc_info: + ds.with_column("invalid_col", invalid_udf(col("id"))).take(1) + + # The actual TypeError gets wrapped, so we need to check the exception chain + error_message = str(exc_info.value) + assert f"returned invalid type {expected_type_name}" in error_message + assert "Expected type" in error_message + assert "pandas.Series" in error_message and "numpy.ndarray" in error_message + + if __name__ == "__main__": import sys From 36310f1f81efd88062f656830e53caac255aa36e Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 28 Aug 2025 20:59:39 -0700 Subject: [PATCH 0947/1566] [core] Create LeaseID (#55469) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_placement_group_5.py | 4 +- src/fakes/ray/rpc/raylet/raylet_client.h | 26 +- .../ray/gcs/gcs_server/gcs_actor_scheduler.h | 4 +- ...l_task_manager.h => local_lease_manager.h} | 30 +- src/mock/ray/raylet/worker_pool.h | 4 +- src/mock/ray/raylet_client/raylet_client.h | 16 +- src/ray/common/BUILD.bazel | 21 +- src/ray/common/function_descriptor.h | 2 +- src/ray/common/grpc_util.h | 1 + src/ray/common/id.cc | 33 +- src/ray/common/id.h | 96 +- src/ray/common/lease/lease.h | 82 + src/ray/common/lease/lease_spec.cc | 360 ++++ src/ray/common/lease/lease_spec.h | 114 ++ src/ray/common/task/task.cc | 57 - src/ray/common/task/task.h | 85 - src/ray/common/task/task_spec.cc | 14 +- src/ray/common/task/task_spec.h | 7 +- src/ray/common/tests/BUILD.bazel | 1 - src/ray/common/tests/id_test.cc | 28 +- src/ray/core_worker/BUILD.bazel | 2 +- src/ray/core_worker/lease_policy.cc | 14 +- src/ray/core_worker/lease_policy.h | 24 +- src/ray/core_worker/task_manager_interface.h | 2 +- .../core_worker/task_submission/BUILD.bazel | 1 + .../task_submission/normal_task_submitter.cc | 160 +- .../task_submission/normal_task_submitter.h | 29 +- .../tests/normal_task_submitter_test.cc | 50 +- src/ray/core_worker/tests/BUILD.bazel | 1 - .../core_worker/tests/lease_policy_test.cc | 59 +- src/ray/design_docs/id_specification.md | 17 +- src/ray/gcs/gcs_server/BUILD.bazel | 3 +- src/ray/gcs/gcs_server/gcs_actor.cc | 6 + src/ray/gcs/gcs_server/gcs_actor.h | 6 + src/ray/gcs/gcs_server/gcs_actor_manager.cc | 20 +- src/ray/gcs/gcs_server/gcs_actor_manager.h | 5 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 64 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 18 +- .../gcs_autoscaler_state_manager.cc | 4 +- .../gcs/gcs_server/gcs_resource_manager.cc | 8 +- src/ray/gcs/gcs_server/gcs_resource_manager.h | 15 +- src/ray/gcs/gcs_server/gcs_server.cc | 24 +- src/ray/gcs/gcs_server/gcs_server.h | 20 +- .../gcs_actor_manager_export_event_test.cc | 2 +- .../tests/gcs_actor_manager_test.cc | 7 +- .../tests/gcs_actor_scheduler_mock_test.cc | 24 +- .../tests/gcs_actor_scheduler_test.cc | 60 +- .../gcs_server/tests/gcs_server_test_util.h | 386 +++++ src/ray/gcs/tests/gcs_test_util.h | 1 - src/ray/protobuf/common.proto | 25 + src/ray/protobuf/node_manager.proto | 41 +- src/ray/raylet/BUILD.bazel | 34 +- ...manager.cc => lease_dependency_manager.cc} | 157 +- ...y_manager.h => lease_dependency_manager.h} | 122 +- ...task_manager.cc => local_lease_manager.cc} | 775 ++++----- ...l_task_manager.h => local_lease_manager.h} | 291 ++-- src/ray/raylet/main.cc | 68 +- src/ray/raylet/node_manager.cc | 417 +++-- src/ray/raylet/node_manager.h | 86 +- src/ray/raylet/scheduling/BUILD.bazel | 44 +- ...sk_manager.cc => cluster_lease_manager.cc} | 256 +-- ...task_manager.h => cluster_lease_manager.h} | 141 +- ...ce.h => cluster_lease_manager_interface.h} | 75 +- .../scheduling/cluster_resource_manager.h | 6 +- .../scheduling/cluster_resource_scheduler.cc | 24 +- .../scheduling/cluster_resource_scheduler.h | 6 +- src/ray/raylet/scheduling/internal.h | 11 +- ...face.h => local_lease_manager_interface.h} | 89 +- .../scheduling/scheduler_resource_reporter.cc | 35 +- .../scheduling/scheduler_resource_reporter.h | 14 +- src/ray/raylet/scheduling/scheduler_stats.cc | 82 +- src/ray/raylet/scheduling/scheduler_stats.h | 34 +- src/ray/raylet/scheduling/tests/BUILD.bazel | 11 +- ..._test.cc => cluster_lease_manager_test.cc} | 1495 +++++++++-------- .../tests/cluster_resource_scheduler_test.cc | 14 +- src/ray/raylet/tests/BUILD.bazel | 26 +- .../raylet/tests/dependency_manager_test.cc | 399 ----- .../tests/lease_dependency_manager_test.cc | 403 +++++ ...er_test.cc => local_lease_manager_test.cc} | 133 +- src/ray/raylet/tests/node_manager_test.cc | 105 +- src/ray/raylet/tests/util.h | 40 +- ...rker_killing_policy_group_by_owner_test.cc | 30 +- ...rker_killing_policy_retriable_fifo_test.cc | 24 +- .../tests/worker_killing_policy_test.cc | 46 +- src/ray/raylet/tests/worker_pool_test.cc | 547 +++--- src/ray/raylet/worker.cc | 21 +- src/ray/raylet/worker.h | 78 +- src/ray/raylet/worker_killing_policy.cc | 17 +- .../worker_killing_policy_group_by_owner.cc | 36 +- .../worker_killing_policy_group_by_owner.h | 38 +- .../worker_killing_policy_retriable_fifo.cc | 8 +- src/ray/raylet/worker_pool.cc | 182 +- src/ray/raylet/worker_pool.h | 44 +- src/ray/raylet_client/raylet_client.cc | 55 +- src/ray/raylet_client/raylet_client.h | 52 +- .../rpc/node_manager/node_manager_client.h | 6 +- .../rpc/node_manager/node_manager_server.h | 70 +- src/ray/util/logging.h | 1 + 98 files changed, 4848 insertions(+), 3883 deletions(-) rename src/mock/ray/raylet/{local_task_manager.h => local_lease_manager.h} (76%) create mode 100644 src/ray/common/lease/lease.h create mode 100644 src/ray/common/lease/lease_spec.cc create mode 100644 src/ray/common/lease/lease_spec.h delete mode 100644 src/ray/common/task/task.cc delete mode 100644 src/ray/common/task/task.h create mode 100644 src/ray/gcs/gcs_server/tests/gcs_server_test_util.h rename src/ray/raylet/{dependency_manager.cc => lease_dependency_manager.cc} (65%) rename src/ray/raylet/{dependency_manager.h => lease_dependency_manager.h} (73%) rename src/ray/raylet/{local_task_manager.cc => local_lease_manager.cc} (57%) rename src/ray/raylet/{local_task_manager.h => local_lease_manager.h} (53%) rename src/ray/raylet/scheduling/{cluster_task_manager.cc => cluster_lease_manager.cc} (62%) rename src/ray/raylet/scheduling/{cluster_task_manager.h => cluster_lease_manager.h} (62%) rename src/ray/raylet/scheduling/{cluster_task_manager_interface.h => cluster_lease_manager_interface.h} (58%) rename src/ray/raylet/scheduling/{local_task_manager_interface.h => local_lease_manager_interface.h} (57%) rename src/ray/raylet/scheduling/tests/{cluster_task_manager_test.cc => cluster_lease_manager_test.cc} (63%) delete mode 100644 src/ray/raylet/tests/dependency_manager_test.cc create mode 100644 src/ray/raylet/tests/lease_dependency_manager_test.cc rename src/ray/raylet/tests/{local_task_manager_test.cc => local_lease_manager_test.cc} (75%) diff --git a/python/ray/tests/test_placement_group_5.py b/python/ray/tests/test_placement_group_5.py index 8440cee1ef37..7caf7a77c61f 100644 --- a/python/ray/tests/test_placement_group_5.py +++ b/python/ray/tests/test_placement_group_5.py @@ -510,7 +510,7 @@ def test_remove_placement_group_with_pending_worker_lease_waiting_for_pg_resourc Specific test steps: 1. Create a placement group with only 1 bundle. 2. Create two actors using the aforementioned pg. At this point, - the latter actor lease request will definitely be pending in local task manager dispatch queue due to + the latter actor lease request will definitely be pending in local lease manager leases_to_grant queue due to unavailable pg bundle resources. 3. Remove the pg while the latter actor lease request is pending. 4. Verify that the pending actor lease request is cancelled and the pg @@ -549,7 +549,7 @@ def wait_for_actor2_added_to_dispatch_queue(): return False for sample in samples: if sample.labels["State"] == "Dispatched" and sample.value == 1: - # actor2 is in the local task manager dispatch queue + # actor2 is in the local lease manager leases_to_grant queue return True return False diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index b18394c56695..1a434abc20a6 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -27,7 +27,7 @@ class FakeRayletClient : public RayletClientInterface { const ray::rpc::ClientCallback &callback) override {} void RequestWorkerLease( - const rpc::TaskSpec &task_spec, + const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size = -1, @@ -36,11 +36,11 @@ class FakeRayletClient : public RayletClientInterface { callbacks.push_back(callback); } - ray::Status ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { + ray::Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { if (disconnect_worker) { num_workers_disconnected++; } else { @@ -61,7 +61,7 @@ class FakeRayletClient : public RayletClientInterface { } void CancelWorkerLease( - const TaskID &task_id, + const LeaseID &lease_id, const rpc::ClientCallback &callback) override { num_leases_canceled += 1; cancel_callbacks.push_back(callback); @@ -238,10 +238,10 @@ class FakeRayletClient : public RayletClientInterface { void *metadata, const rpc::ClientCallback &callback) override {} - void GetTaskFailureCause( - const TaskID &task_id, - const rpc::ClientCallback &callback) override { - ray::rpc::GetTaskFailureCauseReply reply; + void GetWorkerFailureCause( + const LeaseID &lease_id, + const rpc::ClientCallback &callback) override { + ray::rpc::GetWorkerFailureCauseReply reply; callback(Status::OK(), std::move(reply)); num_get_task_failure_causes += 1; } @@ -266,9 +266,9 @@ class FakeRayletClient : public RayletClientInterface { drain_raylet_callbacks.push_back(callback); } - void CancelTasksWithResourceShapes( + void CancelLeasesWithResourceShapes( const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) + const rpc::ClientCallback &callback) override {} void IsLocalWorkerDead( diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h index 164be134d22b..f4edac842542 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -28,7 +28,7 @@ class MockGcsActorSchedulerInterface : public GcsActorSchedulerInterface { MOCK_METHOD(std::vector, CancelOnNode, (const NodeID &node_id), (override)); MOCK_METHOD(void, CancelOnLeasing, - (const NodeID &node_id, const ActorID &actor_id, const TaskID &task_id), + (const NodeID &node_id, const ActorID &actor_id, const LeaseID &lease_id), (override)); MOCK_METHOD(ActorID, CancelOnWorker, @@ -68,7 +68,7 @@ class MockGcsActorScheduler : public GcsActorScheduler { MOCK_METHOD(std::vector, CancelOnNode, (const NodeID &node_id), (override)); MOCK_METHOD(void, CancelOnLeasing, - (const NodeID &node_id, const ActorID &actor_id, const TaskID &task_id), + (const NodeID &node_id, const ActorID &actor_id, const LeaseID &lease_id), (override)); MOCK_METHOD(ActorID, CancelOnWorker, diff --git a/src/mock/ray/raylet/local_task_manager.h b/src/mock/ray/raylet/local_lease_manager.h similarity index 76% rename from src/mock/ray/raylet/local_task_manager.h rename to src/mock/ray/raylet/local_lease_manager.h index 1dbbb8aea9ef..825dae47dde7 100644 --- a/src/mock/ray/raylet/local_task_manager.h +++ b/src/mock/ray/raylet/local_lease_manager.h @@ -15,25 +15,25 @@ #pragma once #include "gmock/gmock.h" -#include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/raylet/scheduling/local_lease_manager_interface.h" namespace ray::raylet { -class MockLocalTaskManager : public ILocalTaskManager { +class MockLocalLeaseManager : public LocalLeaseManagerInterface { public: MOCK_METHOD(void, - QueueAndScheduleTask, + QueueAndScheduleLease, (std::shared_ptr work), (override)); - MOCK_METHOD(void, ScheduleAndDispatchTasks, (), (override)); + MOCK_METHOD(void, ScheduleAndGrantLeases, (), (override)); MOCK_METHOD(bool, - CancelTasks, + CancelLeases, (std::function &)> predicate, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message), (override)); MOCK_METHOD((const absl::flat_hash_map>> &), - GetTaskToDispatch, + GetLeasesToGrant, (), (const, override)); MOCK_METHOD((const absl::flat_hash_map worker, RayTask *task), + CleanupLease, + (std::shared_ptr worker, RayLease *lease), (override)); - MOCK_METHOD(void, TasksUnblocked, (const std::vector &ready_ids), (override)); + MOCK_METHOD(void, LeasesUnblocked, (const std::vector &ready_ids), (override)); MOCK_METHOD(void, ReleaseWorkerResources, (std::shared_ptr worker), @@ -72,9 +72,9 @@ class MockLocalTaskManager : public ILocalTaskManager { MOCK_METHOD(ResourceSet, CalcNormalTaskResources, (), (const, override)); MOCK_METHOD(void, RecordMetrics, (), (const, override)); MOCK_METHOD(void, DebugStr, (std::stringstream & buffer), (const, override)); - MOCK_METHOD(size_t, GetNumTaskSpilled, (), (const, override)); - MOCK_METHOD(size_t, GetNumWaitingTaskSpilled, (), (const, override)); - MOCK_METHOD(size_t, GetNumUnschedulableTaskSpilled, (), (const, override)); + MOCK_METHOD(size_t, GetNumLeaseSpilled, (), (const, override)); + MOCK_METHOD(size_t, GetNumWaitingLeaseSpilled, (), (const, override)); + MOCK_METHOD(size_t, GetNumUnschedulableLeaseSpilled, (), (const, override)); }; } // namespace ray::raylet diff --git a/src/mock/ray/raylet/worker_pool.h b/src/mock/ray/raylet/worker_pool.h index 731e59abd424..6e8337aef2d4 100644 --- a/src/mock/ray/raylet/worker_pool.h +++ b/src/mock/ray/raylet/worker_pool.h @@ -22,7 +22,7 @@ class MockWorkerPool : public WorkerPoolInterface { public: MOCK_METHOD(void, PopWorker, - (const TaskSpecification &task_spec, const PopWorkerCallback &callback), + (const LeaseSpecification &lease_spec, const PopWorkerCallback &callback), (override)); MOCK_METHOD(void, PushWorker, @@ -100,7 +100,7 @@ class MockWorkerPool : public WorkerPoolInterface { (override)); MOCK_METHOD(void, PrestartWorkers, - (const TaskSpecification &task_spec, int64_t backlog_size), + (const LeaseSpecification &lease_spec, int64_t backlog_size), (override)); MOCK_METHOD(void, StartNewWorker, diff --git a/src/mock/ray/raylet_client/raylet_client.h b/src/mock/ray/raylet_client/raylet_client.h index dc804ff16207..dab5fb18dc33 100644 --- a/src/mock/ray/raylet_client/raylet_client.h +++ b/src/mock/ray/raylet_client/raylet_client.h @@ -25,14 +25,14 @@ class MockRayletClientInterface : public RayletClientInterface { MOCK_METHOD( void, RequestWorkerLease, - (const rpc::TaskSpec &resource_spec, + (const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size, const bool is_selected_based_on_locality), (override)); MOCK_METHOD(ray::Status, - ReturnWorker, + ReturnWorkerLease, (int worker_port, const WorkerID &worker_id, bool disconnect_worker, @@ -40,9 +40,9 @@ class MockRayletClientInterface : public RayletClientInterface { bool worker_exiting), (override)); MOCK_METHOD(void, - GetTaskFailureCause, - (const TaskID &task_id, - const rpc::ClientCallback &callback), + GetWorkerFailureCause, + (const LeaseID &lease_id, + const rpc::ClientCallback &callback), (override)); MOCK_METHOD(void, PrestartWorkers, @@ -56,7 +56,7 @@ class MockRayletClientInterface : public RayletClientInterface { (override)); MOCK_METHOD(void, CancelWorkerLease, - (const TaskID &task_id, + (const LeaseID &lease_id, const rpc::ClientCallback &callback), (override)); MOCK_METHOD( @@ -132,9 +132,9 @@ class MockRayletClientInterface : public RayletClientInterface { (override)); MOCK_METHOD( void, - CancelTasksWithResourceShapes, + CancelLeasesWithResourceShapes, ((const std::vector>)&resource_shapes, - const rpc::ClientCallback &callback), + const rpc::ClientCallback &callback), (override)); MOCK_METHOD(void, IsLocalWorkerDead, diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 5eea6f6c8bea..9b8a89329019 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -139,6 +139,9 @@ ray_cc_library( ], ) +# TODO(#55922): split out the scheduling dependencies into a separate bazel target +# and have lease and task bazel targets depend on this + ray_cc_library( name = "task_common", srcs = [ @@ -152,7 +155,6 @@ ray_cc_library( "scheduling/resource_instance_set.cc", "scheduling/resource_set.cc", "scheduling/scheduling_ids.cc", - "task/task.cc", "task/task_spec.cc", ], hdrs = [ @@ -166,7 +168,6 @@ ray_cc_library( "scheduling/resource_instance_set.h", "scheduling/resource_set.h", "scheduling/scheduling_ids.h", - "task/task.h", "task/task_common.h", "task/task_spec.h", "task/task_util.h", @@ -188,6 +189,22 @@ ray_cc_library( ], ) +ray_cc_library( + name = "lease", + srcs = [ + "lease/lease_spec.cc", + ], + hdrs = [ + "lease/lease.h", + "lease/lease_spec.h", + ], + deps = [ + ":id", + ":task_common", + "//src/ray/protobuf:common_cc_proto", + ], +) + ray_cc_library( name = "asio", srcs = [ diff --git a/src/ray/common/function_descriptor.h b/src/ray/common/function_descriptor.h index b4f7ca3cd92a..452fc446ae6c 100644 --- a/src/ray/common/function_descriptor.h +++ b/src/ray/common/function_descriptor.h @@ -145,7 +145,7 @@ class JavaFunctionDescriptor : public FunctionDescriptorInterface { virtual std::string ClassName() const { return typed_message_->class_name(); } - const std::string &FunctionName() const { return typed_message_->function_name(); } + virtual std::string FunctionName() const { return typed_message_->function_name(); } const std::string &Signature() const { return typed_message_->signature(); } diff --git a/src/ray/common/grpc_util.h b/src/ray/common/grpc_util.h index ea48af266fce..ae99eaf79081 100644 --- a/src/ray/common/grpc_util.h +++ b/src/ray/common/grpc_util.h @@ -32,6 +32,7 @@ namespace ray { /// Wrap a protobuf message. template +// TODO(#55921): Remove MessageWrapper class and clean up LeaseSpec/TaskSpec classes class MessageWrapper { public: /// Construct an empty message wrapper. This should not be used directly. diff --git a/src/ray/common/id.cc b/src/ray/common/id.cc index 53b033dfb7f5..65ace9147bed 100644 --- a/src/ray/common/id.cc +++ b/src/ray/common/id.cc @@ -143,7 +143,6 @@ ActorID ActorID::Of(const JobID &job_id, absl::GetCurrentTimeNanos(), ActorID::kUniqueBytesLength); std::copy_n(job_id.Data(), JobID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == kLength); return ActorID::FromBinary(data); } @@ -151,7 +150,6 @@ ActorID ActorID::NilFromJob(const JobID &job_id) { std::string data(kUniqueBytesLength, 0); FillNil(&data); std::copy_n(job_id.Data(), JobID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == kLength); return ActorID::FromBinary(data); } @@ -166,7 +164,6 @@ TaskID TaskID::ForDriverTask(const JobID &job_id) { FillNil(&data); const auto dummy_actor_id = ActorID::NilFromJob(job_id); std::copy_n(dummy_actor_id.Data(), ActorID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == TaskID::kLength); return TaskID::FromBinary(data); } @@ -181,7 +178,6 @@ TaskID TaskID::ForActorCreationTask(const ActorID &actor_id) { std::string data(kUniqueBytesLength, 0); FillNil(&data); std::copy_n(actor_id.Data(), ActorID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == TaskID::kLength); return TaskID::FromBinary(data); } @@ -192,7 +188,6 @@ TaskID TaskID::ForActorTask(const JobID &job_id, std::string data = GenerateUniqueBytes( job_id, parent_task_id, parent_task_counter, 0, TaskID::kUniqueBytesLength); std::copy_n(actor_id.Data(), ActorID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == TaskID::kLength); return TaskID::FromBinary(data); } @@ -203,7 +198,6 @@ TaskID TaskID::ForNormalTask(const JobID &job_id, job_id, parent_task_id, parent_task_counter, 0, TaskID::kUniqueBytesLength); const auto dummy_actor_id = ActorID::NilFromJob(job_id); std::copy_n(dummy_actor_id.Data(), ActorID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == TaskID::kLength); return TaskID::FromBinary(data); } @@ -312,7 +306,6 @@ PlacementGroupID PlacementGroupID::Of(const JobID &job_id) { std::string data(PlacementGroupID::kUniqueBytesLength, 0); FillRandom(&data); std::copy_n(job_id.Data(), JobID::kLength, std::back_inserter(data)); - RAY_CHECK(data.size() == kLength); return PlacementGroupID::FromBinary(data); } @@ -322,6 +315,31 @@ JobID PlacementGroupID::JobId() const { reinterpret_cast(this->Data() + kUniqueBytesLength), JobID::kLength)); } +LeaseID LeaseID::FromRandom() { + std::string data(kLength, 0); + FillRandom(&data); + return LeaseID::FromBinary(data); +} + +LeaseID LeaseID::FromWorker(const WorkerID &worker_id, uint32_t counter) { + RAY_CHECK_GT(counter, 0u); + std::string data(kUniqueBytesLength, 0); + std::memcpy(data.data(), &counter, sizeof(counter)); + std::copy_n(worker_id.Data(), kUniqueIDSize, std::back_inserter(data)); + return LeaseID::FromBinary(data); +} + +LeaseID LeaseID::DriverLeaseId(const WorkerID &driver_id) { + std::string data(kUniqueBytesLength, 0); + std::copy_n(driver_id.Data(), kUniqueIDSize, std::back_inserter(data)); + return LeaseID::FromBinary(data); +} + +WorkerID LeaseID::WorkerId() const { + return WorkerID::FromBinary(std::string( + reinterpret_cast(id_ + kUniqueBytesLength), kUniqueIDSize)); +} + #define ID_OSTREAM_OPERATOR(id_type) \ std::ostream &operator<<(std::ostream &os, const id_type &id) { \ if (id.IsNil()) { \ @@ -338,6 +356,7 @@ ID_OSTREAM_OPERATOR(ActorID); ID_OSTREAM_OPERATOR(TaskID); ID_OSTREAM_OPERATOR(ObjectID); ID_OSTREAM_OPERATOR(PlacementGroupID); +ID_OSTREAM_OPERATOR(LeaseID); const NodeID kGCSNodeID = NodeID::FromBinary(std::string(kUniqueIDSize, 0)); diff --git a/src/ray/common/id.h b/src/ray/common/id.h index 736c116a341a..8a1f7e99d610 100644 --- a/src/ray/common/id.h +++ b/src/ray/common/id.h @@ -131,12 +131,8 @@ class ActorID : public BaseID { static constexpr size_t kUniqueBytesLength = 12; public: - /// Length of `ActorID` in bytes. static constexpr size_t kLength = kUniqueBytesLength + JobID::kLength; - /// Size of `ActorID` in bytes. - /// - /// \return Size of `ActorID` in bytes. static constexpr size_t Size() { return kLength; } /// Creates an `ActorID` by hashing the given information. @@ -150,22 +146,13 @@ class ActorID : public BaseID { const TaskID &parent_task_id, const size_t parent_task_counter); - /// Creates a nil ActorID with the given job. - /// - /// \param job_id The job id to which this actor belongs. - /// - /// \return The `ActorID` with unique bytes being nil. static ActorID NilFromJob(const JobID &job_id); // Warning: this can duplicate IDs after a fork() call. We assume this never happens. static ActorID FromRandom() = delete; - /// Constructor of `ActorID`. ActorID() : BaseID() {} - /// Get the job id to which this actor belongs. - /// - /// \return The job id to which this actor belongs. JobID JobId() const; MSGPACK_DEFINE(id_); @@ -190,18 +177,11 @@ class TaskID : public BaseID { // Warning: this can duplicate IDs after a fork() call. We assume this never happens. static TaskID FromRandom() = delete; - /// The ID generated for driver task. static TaskID ForDriverTask(const JobID &job_id); /// Generate driver task id for the given job. static TaskID FromRandom(const JobID &job_id); - /// Creates a TaskID for an actor creation task. - /// - /// \param actor_id The ID of the actor that will be created - /// by this actor creation task. - /// - /// \return The ID of the actor creation task. static TaskID ForActorCreationTask(const ActorID &actor_id); /// Creates a TaskID for actor task. @@ -241,17 +221,10 @@ class TaskID : public BaseID { /// \return The ID of the n-th execution of the task. static TaskID ForExecutionAttempt(const TaskID &task_id, uint64_t attempt_number); - /// Get the id of the actor to which this task belongs. - /// - /// \return The `ActorID` of the actor which creates this task. ActorID ActorId() const; - /// Returns whether this is the ID of an actor creation task. bool IsForActorCreationTask() const; - /// Get the id of the job to which this task belongs. - /// - /// \return The `JobID` of the job which creates this task. JobID JobId() const; MSGPACK_DEFINE(id_); @@ -268,7 +241,6 @@ class ObjectID : public BaseID { /// The maximum number of objects that can be returned or put by a task. static constexpr int64_t kMaxObjectIndex = ((int64_t)1 << kObjectIdIndexSize) - 1; - /// The length of ObjectID in bytes. static constexpr size_t kLength = kIndexBytesLength + TaskID::kLength; ObjectID() : BaseID() {} @@ -288,9 +260,6 @@ class ObjectID : public BaseID { /// this object. ObjectIDIndexType ObjectIndex() const; - /// Compute the task ID of the task that created the object. - /// - /// \return The task ID of the task that created this object. TaskID TaskId() const; /// Compute the object ID of an object created by a task, either via an object put @@ -302,12 +271,8 @@ class ObjectID : public BaseID { /// \return The computed object ID. static ObjectID FromIndex(const TaskID &task_id, ObjectIDIndexType index); - /// Create an object id randomly. - /// /// Warning: this can duplicate IDs after a fork() call. We assume this /// never happens. - /// - /// \return A random object id. static ObjectID FromRandom(); /// Compute the object ID that is used to track an actor's lifetime. This @@ -321,6 +286,7 @@ class ObjectID : public BaseID { /// Whether this ObjectID represents an actor handle. This is the ObjectID /// returned by the actor's creation task. static bool IsActorID(const ObjectID &object_id); + /// Return the ID of the actor that produces this object. For the actor /// creation task and for tasks executed by the actor, this will return a /// non-nil ActorID. @@ -329,7 +295,6 @@ class ObjectID : public BaseID { MSGPACK_DEFINE(id_); private: - /// A helper method to generate an ObjectID. static ObjectID GenerateObjectId(const std::string &task_id_binary, ObjectIDIndexType object_index = 0); @@ -342,12 +307,8 @@ class PlacementGroupID : public BaseID { static constexpr size_t kUniqueBytesLength = 14; public: - /// Length of `PlacementGroupID` in bytes. static constexpr size_t kLength = kUniqueBytesLength + JobID::kLength; - /// Size of `PlacementGroupID` in bytes. - /// - /// \return Size of `PlacementGroupID` in bytes. static constexpr size_t Size() { return kLength; } /// Creates a `PlacementGroupID` by hashing the given information. @@ -359,12 +320,8 @@ class PlacementGroupID : public BaseID { static PlacementGroupID FromRandom() = delete; - /// Constructor of `PlacementGroupID`. PlacementGroupID() : BaseID() {} - /// Get the job id to which this placement group belongs. - /// - /// \return The job id to which this placement group belongs. JobID JobId() const; MSGPACK_DEFINE(id_); @@ -375,6 +332,48 @@ class PlacementGroupID : public BaseID { typedef std::pair BundleID; +class LeaseID : public BaseID { + private: + static constexpr size_t kUniqueBytesLength = 4; + + public: + static constexpr size_t kLength = kUniqueBytesLength + kUniqueIDSize; + + static constexpr size_t Size() { return kLength; } + + /// Creates a `LeaseID` from a specific worker ID. + /// + /// \param worker_id The worker ID from which this lease is requested. + /// \param counter The n-th lease requested by this worker, staring from 1 + /// + /// \return The `LeaseID` for the worker lease. + static LeaseID FromWorker(const WorkerID &worker_id, uint32_t counter); + + /// Creates a `LeaseID` from a driver ID. The counter bits are nulled out only for + /// driver as we need a predetermined lease value that can be calculated indepently by + /// the raylet without having to send the ID over. + /// + /// \param driver_id The driver ID to which this lease belongs. + /// + /// \return The `LeaseID` for the worker lease. + static LeaseID DriverLeaseId(const WorkerID &driver_id); + + /// Creates a random `LeaseID`. + /// + /// \return A `LeaseID` generated with random bytes + /// Warning: this can duplicate IDs after a fork() call. We assume this never happens. + static LeaseID FromRandom(); + + LeaseID() : BaseID() {} + + WorkerID WorkerId() const; + + MSGPACK_DEFINE(id_); + + private: + uint8_t id_[kLength]; +}; + static_assert(sizeof(JobID) == JobID::kLength + sizeof(size_t), "JobID size is not as expected"); static_assert(sizeof(ActorID) == ActorID::kLength + sizeof(size_t), @@ -385,6 +384,8 @@ static_assert(sizeof(ObjectID) == ObjectID::kLength + sizeof(size_t), "ObjectID size is not as expected"); static_assert(sizeof(PlacementGroupID) == PlacementGroupID::kLength + sizeof(size_t), "PlacementGroupID size is not as expected"); +static_assert(sizeof(LeaseID) == LeaseID::kLength + sizeof(size_t), + "LeaseID size is not as expected"); std::ostream &operator<<(std::ostream &os, const UniqueID &id); std::ostream &operator<<(std::ostream &os, const JobID &id); @@ -392,6 +393,7 @@ std::ostream &operator<<(std::ostream &os, const ActorID &id); std::ostream &operator<<(std::ostream &os, const TaskID &id); std::ostream &operator<<(std::ostream &os, const ObjectID &id); std::ostream &operator<<(std::ostream &os, const PlacementGroupID &id); +std::ostream &operator<<(std::ostream &os, const LeaseID &id); #define DEFINE_UNIQUE_ID(type) \ class RAY_EXPORT type : public UniqueID { \ @@ -590,6 +592,11 @@ struct DefaultLogKey { constexpr static std::string_view key = kLogKeyPlacementGroupID; }; +template <> +struct DefaultLogKey { + constexpr static std::string_view key = kLogKeyLeaseID; +}; + } // namespace ray namespace std { @@ -606,6 +613,7 @@ DEFINE_UNIQUE_ID(ActorID); DEFINE_UNIQUE_ID(TaskID); DEFINE_UNIQUE_ID(ObjectID); DEFINE_UNIQUE_ID(PlacementGroupID); +DEFINE_UNIQUE_ID(LeaseID); #include "ray/common/id_def.h" #undef DEFINE_UNIQUE_ID diff --git a/src/ray/common/lease/lease.h b/src/ray/common/lease/lease.h new file mode 100644 index 000000000000..1dd4853c4064 --- /dev/null +++ b/src/ray/common/lease/lease.h @@ -0,0 +1,82 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include +#include + +#include "ray/common/lease/lease_spec.h" + +namespace ray { + +/// \class RayLease +/// +/// A RayLease represents a Ray lease and a specification of its execution (e.g., +/// resource demands). The lease's specification contains both immutable fields, +/// determined at submission time, and mutable fields, determined at execution +/// time. +class RayLease { + public: + /// Construct an empty lease. This should only be used to pass a lease + /// as an out parameter to a function or method. + // TODO(#55923): Remove this constructor and refactor worker.h to use unique_ptr + RayLease() = default; + + /// Construct a `RayLease` object from a protobuf message. + explicit RayLease(rpc::LeaseSpec lease_spec) + : lease_spec_(LeaseSpecification(std::move(lease_spec))) {} + + /// Construct a `RayLease` object from a `LeaseSpecification`. + explicit RayLease(LeaseSpecification lease_spec) : lease_spec_(std::move(lease_spec)) {} + + RayLease(LeaseSpecification lease_spec, std::string preferred_node_id) + : lease_spec_(std::move(lease_spec)), + preferred_node_id_(std::move(preferred_node_id)) {} + + /// Get the immutable specification for the lease. + /// + /// \return The immutable specification for the lease. + const LeaseSpecification &GetLeaseSpecification() const { return lease_spec_; } + + /// Get the lease's object dependencies. This comprises the immutable lease + /// arguments and the mutable execution dependencies. + /// + /// \return The object dependencies. + const std::vector &GetDependencies() const { + return lease_spec_.GetDependencies(); + } + + /// Get the lease's preferred node id for scheduling. If the returned value + /// is empty, then it means the lease has no preferred node. + /// + /// \return The preferred node id. + const std::string &GetPreferredNodeID() const { return preferred_node_id_; } + + std::string DebugString() const { + return absl::StrFormat("lease_spec={%s}", lease_spec_.DebugString()); + } + + private: + /// RayLease specification object, consisting of immutable information about this + /// lease determined at submission time. Includes resource demand, object + /// dependencies, etc. + LeaseSpecification lease_spec_; + + std::string preferred_node_id_; +}; + +} // namespace ray diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc new file mode 100644 index 000000000000..8dcf2552d472 --- /dev/null +++ b/src/ray/common/lease/lease_spec.cc @@ -0,0 +1,360 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/lease/lease_spec.h" + +#include "ray/common/common_protocol.h" +#include "ray/common/function_descriptor.h" +#include "ray/common/runtime_env_common.h" + +namespace ray { + +LeaseSpecification::LeaseSpecification(const rpc::TaskSpec &task_spec) + : MessageWrapper(std::make_shared()) { + RAY_CHECK(task_spec.type() == TaskType::NORMAL_TASK || + task_spec.type() == TaskType::ACTOR_CREATION_TASK); + message_->set_job_id(task_spec.job_id()); + message_->mutable_caller_address()->CopyFrom(task_spec.caller_address()); + message_->mutable_required_resources()->insert(task_spec.required_resources().begin(), + task_spec.required_resources().end()); + message_->mutable_required_placement_resources()->insert( + task_spec.required_placement_resources().begin(), + task_spec.required_placement_resources().end()); + message_->mutable_scheduling_strategy()->CopyFrom(task_spec.scheduling_strategy()); + message_->mutable_label_selector()->insert(task_spec.label_selector().begin(), + task_spec.label_selector().end()); + message_->set_depth(task_spec.depth()); + message_->set_parent_task_id(task_spec.parent_task_id()); + message_->mutable_dependencies()->Reserve(task_spec.args_size()); + for (size_t i = 0; i < static_cast(task_spec.args_size()); ++i) { + if (task_spec.args(i).has_object_ref() && !task_spec.args(i).is_inlined()) { + message_->add_dependencies()->CopyFrom(task_spec.args(i).object_ref()); + } + } + message_->mutable_function_descriptor()->CopyFrom(task_spec.function_descriptor()); + message_->set_language(task_spec.language()); + message_->mutable_runtime_env_info()->CopyFrom(task_spec.runtime_env_info()); + message_->set_attempt_number(task_spec.attempt_number()); + message_->set_root_detached_actor_id(task_spec.root_detached_actor_id()); + message_->set_task_name(task_spec.name()); + message_->set_type(task_spec.type()); + if (IsActorCreationTask()) { + message_->set_actor_id(task_spec.actor_creation_task_spec().actor_id()); + message_->set_is_detached_actor(task_spec.actor_creation_task_spec().is_detached()); + message_->set_max_actor_restarts( + task_spec.actor_creation_task_spec().max_actor_restarts()); + for (const auto &option : + task_spec.actor_creation_task_spec().dynamic_worker_options()) { + message_->add_dynamic_worker_options(option); + } + } else { + message_->set_max_retries(task_spec.max_retries()); + } + ComputeResources(); +} + +LeaseID LeaseSpecification::LeaseId() const { + return LeaseID::FromBinary(message_->lease_id()); +} + +JobID LeaseSpecification::JobId() const { return JobID::FromBinary(message_->job_id()); } + +const rpc::Address &LeaseSpecification::CallerAddress() const { + return message_->caller_address(); +} + +Language LeaseSpecification::GetLanguage() const { return message_->language(); } + +bool LeaseSpecification::IsNormalTask() const { + return message_->type() == TaskType::NORMAL_TASK; +} + +bool LeaseSpecification::IsActorCreationTask() const { + return message_->type() == TaskType::ACTOR_CREATION_TASK; +} + +bool LeaseSpecification::IsNodeAffinitySchedulingStrategy() const { + return GetSchedulingStrategy().scheduling_strategy_case() == + rpc::SchedulingStrategy::kNodeAffinitySchedulingStrategy; +} + +NodeID LeaseSpecification::GetNodeAffinitySchedulingStrategyNodeId() const { + if (!IsNodeAffinitySchedulingStrategy()) { + return NodeID::Nil(); + } + return NodeID::FromBinary( + GetSchedulingStrategy().node_affinity_scheduling_strategy().node_id()); +} + +bool LeaseSpecification::GetNodeAffinitySchedulingStrategySoft() const { + if (!IsNodeAffinitySchedulingStrategy()) { + return false; + } + return GetSchedulingStrategy().node_affinity_scheduling_strategy().soft(); +} + +std::vector LeaseSpecification::GetDependencyIds() const { + std::vector ids; + ids.reserve(dependencies_.size()); + for (const auto &ref : dependencies_) { + ids.emplace_back(ObjectRefToId(ref)); + } + return ids; +} + +const std::vector &LeaseSpecification::GetDependencies() const { + return dependencies_; +} + +WorkerID LeaseSpecification::CallerWorkerId() const { + return WorkerID::FromBinary(message_->caller_address().worker_id()); +} + +NodeID LeaseSpecification::CallerNodeId() const { + return NodeID::FromBinary(message_->caller_address().node_id()); +} + +BundleID LeaseSpecification::PlacementGroupBundleId() const { + if (GetSchedulingStrategy().scheduling_strategy_case() != + rpc::SchedulingStrategy::kPlacementGroupSchedulingStrategy) { + return std::make_pair(PlacementGroupID::Nil(), -1); + } + const auto &pg = GetSchedulingStrategy().placement_group_scheduling_strategy(); + return std::make_pair(PlacementGroupID::FromBinary(pg.placement_group_id()), + pg.placement_group_bundle_index()); +} + +int64_t LeaseSpecification::MaxActorRestarts() const { + RAY_CHECK(IsActorCreationTask()); + return message_->max_actor_restarts(); +} + +int32_t LeaseSpecification::MaxRetries() const { + RAY_CHECK(IsNormalTask()); + return message_->max_retries(); +} + +bool LeaseSpecification::IsRetriable() const { + if (IsActorCreationTask() && MaxActorRestarts() == 0) { + return false; + } + if (IsNormalTask() && MaxRetries() == 0) { + return false; + } + return true; +} + +uint64_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } + +bool LeaseSpecification::IsRetry() const { return AttemptNumber() > 0; } + +std::string LeaseSpecification::GetTaskName() const { return message_->task_name(); } + +std::string LeaseSpecification::GetFunctionOrActorName() const { + if (IsActorCreationTask()) { + return FunctionDescriptor()->ClassName(); + } + return FunctionDescriptor()->CallString(); +} + +TaskID LeaseSpecification::ParentTaskId() const { + // Set to Nil for driver tasks. + if (message_->parent_task_id().empty()) { + return TaskID::Nil(); + } + return TaskID::FromBinary(message_->parent_task_id()); +} + +ActorID LeaseSpecification::ActorId() const { + if (message_->actor_id().empty()) { + return ActorID::Nil(); + } + return ActorID::FromBinary(message_->actor_id()); +} + +ActorID LeaseSpecification::RootDetachedActorId() const { + if (message_->root_detached_actor_id().empty()) { + return ActorID::Nil(); + } + return ActorID::FromBinary(message_->root_detached_actor_id()); +} + +bool LeaseSpecification::IsDetachedActor() const { return message_->is_detached_actor(); } + +int LeaseSpecification::GetRuntimeEnvHash() const { return runtime_env_hash_; } + +std::string LeaseSpecification::DebugString() const { + std::ostringstream stream; + stream << "Type=" << TaskType_Name(message_->type()) + << ", Language=" << Language_Name(message_->language()); + + if (required_resources_ != nullptr) { + stream << ", Resources: {"; + + // Print resource description. + for (const auto &entry : GetRequiredResources().GetResourceMap()) { + stream << entry.first << ": " << entry.second << ", "; + } + stream << "}"; + } + + stream << ", function_descriptor="; + + // Print function descriptor. + stream << FunctionDescriptor()->ToString(); + + stream << ", lease_id=" << LeaseId() << ", task_name=" << GetTaskName() + << ", job_id=" << JobId() << ", depth=" << GetDepth() + << ", attempt_number=" << AttemptNumber(); + + if (IsActorCreationTask()) { + // Print actor creation task spec. + stream << ", actor_creation_task_spec={actor_id=" << ActorId() + << ", max_restarts=" << MaxActorRestarts() + << ", is_detached=" << IsDetachedActor() << "}"; + } else { + stream << ", normal_task_spec={max_retries=" << MaxRetries() << "}"; + } + + // Print non-sensitive runtime env info. + if (HasRuntimeEnv()) { + const auto &runtime_env_info = RuntimeEnvInfo(); + stream << ", runtime_env_hash=" << GetRuntimeEnvHash(); + if (runtime_env_info.has_runtime_env_config()) { + stream << ", eager_install=" + << runtime_env_info.runtime_env_config().eager_install(); + stream << ", setup_timeout_seconds=" + << runtime_env_info.runtime_env_config().setup_timeout_seconds(); + } + } + + return stream.str(); +} + +bool LeaseSpecification::HasRuntimeEnv() const { + return !IsRuntimeEnvEmpty(SerializedRuntimeEnv()); +} + +const std::string &LeaseSpecification::SerializedRuntimeEnv() const { + return message_->runtime_env_info().serialized_runtime_env(); +} + +const rpc::RuntimeEnvInfo &LeaseSpecification::RuntimeEnvInfo() const { + return message_->runtime_env_info(); +} + +int64_t LeaseSpecification::GetDepth() const { return message_->depth(); } + +const rpc::SchedulingStrategy &LeaseSpecification::GetSchedulingStrategy() const { + return message_->scheduling_strategy(); +} + +const ResourceSet &LeaseSpecification::GetRequiredResources() const { + return *required_resources_; +} + +const ResourceSet &LeaseSpecification::GetRequiredPlacementResources() const { + return *required_placement_resources_; +} + +const LabelSelector &LeaseSpecification::GetLabelSelector() const { + return *label_selector_; +} + +ray::FunctionDescriptor LeaseSpecification::FunctionDescriptor() const { + return ray::FunctionDescriptorBuilder::FromProto(message_->function_descriptor()); +} + +void LeaseSpecification::ComputeResources() { + auto &required_resources = message_->required_resources(); + + if (required_resources.empty()) { + // A static nil object is used here to avoid allocating the empty object every time. + required_resources_ = ResourceSet::Nil(); + } else { + required_resources_ = + std::make_shared(MapFromProtobuf(required_resources)); + } + + auto &required_placement_resources = message_->required_placement_resources().empty() + ? required_resources + : message_->required_placement_resources(); + + if (required_placement_resources.empty()) { + required_placement_resources_ = ResourceSet::Nil(); + } else { + required_placement_resources_ = + std::make_shared(MapFromProtobuf(required_placement_resources)); + } + + // Set LabelSelector required for scheduling if specified. Parses string map + // from proto to LabelSelector data type. + label_selector_ = std::make_shared(message_->label_selector()); + + // Copy dependencies from message + dependencies_.reserve(message_->dependencies_size()); + for (int i = 0; i < message_->dependencies_size(); ++i) { + dependencies_.push_back(message_->dependencies(i)); + } + + // There is no need to compute `SchedulingClass` for actor tasks since + // the actor tasks need not be scheduled. + const bool is_actor_creation_task = IsActorCreationTask(); + const bool should_report_placement_resources = + RayConfig::instance().report_actor_placement_resources(); + const auto &resource_set = (is_actor_creation_task && should_report_placement_resources) + ? GetRequiredPlacementResources() + : GetRequiredResources(); + auto depth = GetDepth(); + auto label_selector = GetLabelSelector(); + const auto &function_descriptor = FunctionDescriptor(); + auto sched_cls_desc = SchedulingClassDescriptor( + resource_set, label_selector, function_descriptor, depth, GetSchedulingStrategy()); + // Map the scheduling class descriptor to an integer for performance. + sched_cls_id_ = TaskSpecification::GetSchedulingClass(sched_cls_desc); + RAY_CHECK_GT(sched_cls_id_, 0); + + runtime_env_hash_ = CalculateRuntimeEnvHash(SerializedRuntimeEnv()); +} + +std::vector LeaseSpecification::DynamicWorkerOptionsOrEmpty() const { + if (!IsActorCreationTask()) { + return {}; + } + return VectorFromProtobuf(message_->dynamic_worker_options()); +} + +std::vector LeaseSpecification::DynamicWorkerOptions() const { + RAY_CHECK(IsActorCreationTask()); + return VectorFromProtobuf(message_->dynamic_worker_options()); +} + +size_t LeaseSpecification::DynamicWorkerOptionsSize() const { + return message_->dynamic_worker_options_size(); +} + +const rpc::RuntimeEnvConfig &LeaseSpecification::RuntimeEnvConfig() const { + return message_->runtime_env_info().runtime_env_config(); +} + +bool LeaseSpecification::IsSpreadSchedulingStrategy() const { + return message_->scheduling_strategy().scheduling_strategy_case() == + rpc::SchedulingStrategy::SchedulingStrategyCase::kSpreadSchedulingStrategy; +} + +SchedulingClass LeaseSpecification::GetSchedulingClass() const { return sched_cls_id_; } + +const rpc::LeaseSpec &LeaseSpecification::GetMessage() const { return *message_; } + +} // namespace ray diff --git a/src/ray/common/lease/lease_spec.h b/src/ray/common/lease/lease_spec.h new file mode 100644 index 000000000000..6a2c566b795f --- /dev/null +++ b/src/ray/common/lease/lease_spec.h @@ -0,0 +1,114 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include +#include + +#include "absl/types/optional.h" +#include "ray/common/grpc_util.h" +#include "ray/common/id.h" +#include "ray/common/scheduling/label_selector.h" +#include "ray/common/scheduling/resource_set.h" +#include "ray/common/task/task_spec.h" +#include "src/ray/protobuf/common.pb.h" + +namespace ray { + +// LeaseSpec captures only the subset of TaskSpec used by the raylet for +// leasing, scheduling, dependency resolution, and cancellation. +class LeaseSpecification : public MessageWrapper { + public: + explicit LeaseSpecification(const rpc::TaskSpec &task_spec); + + /// Construct an empty task specification. This should not be used directly. + LeaseSpecification() { ComputeResources(); } + + explicit LeaseSpecification(rpc::LeaseSpec lease_spec) + : MessageWrapper(std::move(lease_spec)) { + ComputeResources(); + } + + explicit LeaseSpecification(std::shared_ptr message) + : MessageWrapper(std::move(message)) { + ComputeResources(); + } + + LeaseID LeaseId() const; + JobID JobId() const; + + const ResourceSet &GetRequiredResources() const; + const ResourceSet &GetRequiredPlacementResources() const; + const LabelSelector &GetLabelSelector() const; + const rpc::SchedulingStrategy &GetSchedulingStrategy() const; + bool IsNodeAffinitySchedulingStrategy() const; + NodeID GetNodeAffinitySchedulingStrategyNodeId() const; + bool GetNodeAffinitySchedulingStrategySoft() const; + std::vector GetDependencyIds() const; + const std::vector &GetDependencies() const; + + bool IsNormalTask() const; + bool IsActorCreationTask() const; + ActorID ActorId() const; + + const rpc::Address &CallerAddress() const; + WorkerID CallerWorkerId() const; + NodeID CallerNodeId() const; + BundleID PlacementGroupBundleId() const; + bool IsRetriable() const; + TaskID ParentTaskId() const; + bool IsDetachedActor() const; + std::string DebugString() const; + int GetRuntimeEnvHash() const; + Language GetLanguage() const; + bool HasRuntimeEnv() const; + const rpc::RuntimeEnvInfo &RuntimeEnvInfo() const; + const std::string &SerializedRuntimeEnv() const; + int64_t GetDepth() const; + ActorID RootDetachedActorId() const; + ray::FunctionDescriptor FunctionDescriptor() const; + int64_t MaxActorRestarts() const; + int32_t MaxRetries() const; + uint64_t AttemptNumber() const; + bool IsRetry() const; + std::string GetTaskName() const; + std::string GetFunctionOrActorName() const; + std::vector DynamicWorkerOptionsOrEmpty() const; + std::vector DynamicWorkerOptions() const; + size_t DynamicWorkerOptionsSize() const; + const rpc::RuntimeEnvConfig &RuntimeEnvConfig() const; + bool IsSpreadSchedulingStrategy() const; + SchedulingClass GetSchedulingClass() const; + const rpc::LeaseSpec &GetMessage() const; + + private: + void ComputeResources(); + + SchedulingClass GetSchedulingClass(const SchedulingClassDescriptor &sched_cls); + + SchedulingClass sched_cls_id_ = 0; + std::shared_ptr required_resources_; + std::shared_ptr required_placement_resources_; + std::shared_ptr label_selector_; + + std::vector dependencies_; + + int runtime_env_hash_ = 0; +}; + +} // namespace ray diff --git a/src/ray/common/task/task.cc b/src/ray/common/task/task.cc deleted file mode 100644 index 28d28d6a8a12..000000000000 --- a/src/ray/common/task/task.cc +++ /dev/null @@ -1,57 +0,0 @@ -// Copyright 2019-2020 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/task/task.h" - -#include -#include -#include - -#include "absl/strings/str_format.h" - -namespace ray { - -RayTask::RayTask(rpc::TaskSpec task_spec) : task_spec_(std::move(task_spec)) { - ComputeDependencies(); -} - -RayTask::RayTask(rpc::Task message) - : task_spec_(std::move(*message.mutable_task_spec())) { - ComputeDependencies(); -} - -RayTask::RayTask(TaskSpecification task_spec) : task_spec_(std::move(task_spec)) { - ComputeDependencies(); -} - -RayTask::RayTask(TaskSpecification task_spec, std::string preferred_node_id) - : task_spec_(std::move(task_spec)), preferred_node_id_(std::move(preferred_node_id)) { - ComputeDependencies(); -} - -const TaskSpecification &RayTask::GetTaskSpecification() const { return task_spec_; } - -const std::vector &RayTask::GetDependencies() const { - return dependencies_; -} - -const std::string &RayTask::GetPreferredNodeID() const { return preferred_node_id_; } - -void RayTask::ComputeDependencies() { dependencies_ = task_spec_.GetDependencies(); } - -std::string RayTask::DebugString() const { - return absl::StrFormat("task_spec={%s}", task_spec_.DebugString()); -} - -} // namespace ray diff --git a/src/ray/common/task/task.h b/src/ray/common/task/task.h deleted file mode 100644 index 9408990fb1de..000000000000 --- a/src/ray/common/task/task.h +++ /dev/null @@ -1,85 +0,0 @@ -// Copyright 2019-2020 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include -#include - -#include "ray/common/task/task_common.h" -#include "ray/common/task/task_spec.h" - -namespace ray { - -/// \class RayTask -/// -/// A RayTask represents a Ray task and a specification of its execution (e.g., -/// resource demands). The task's specification contains both immutable fields, -/// determined at submission time, and mutable fields, determined at execution -/// time. -class RayTask { - public: - /// Construct an empty task. This should only be used to pass a task - /// as an out parameter to a function or method. - RayTask() = default; - - /// Construct a `RayTask` object from a protobuf message. - explicit RayTask(rpc::TaskSpec task_spec); - - /// Construct a `RayTask` object from a protobuf message. - /// - /// \param message The protobuf message. - explicit RayTask(rpc::Task message); - - /// Construct a `RayTask` object from a `TaskSpecification`. - explicit RayTask(TaskSpecification task_spec); - - RayTask(TaskSpecification task_spec, std::string preferred_node_id); - - /// Get the immutable specification for the task. - /// - /// \return The immutable specification for the task. - const TaskSpecification &GetTaskSpecification() const; - - /// Get the task's object dependencies. This comprises the immutable task - /// arguments and the mutable execution dependencies. - /// - /// \return The object dependencies. - const std::vector &GetDependencies() const; - - /// Get the task's preferred node id for scheduling. If the returned value - /// is empty, then it means the task has no preferred node. - /// - /// \return The preferred node id. - const std::string &GetPreferredNodeID() const; - - std::string DebugString() const; - - private: - void ComputeDependencies(); - - /// RayTask specification object, consisting of immutable information about this - /// task determined at submission time. Includes resource demand, object - /// dependencies, etc. - TaskSpecification task_spec_; - /// A cached copy of the task's object dependencies, including arguments from - /// the TaskSpecification. - std::vector dependencies_; - - std::string preferred_node_id_; -}; - -} // namespace ray diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index d231470f174a..dd4ea7cf7e93 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -99,7 +99,8 @@ void TaskSpecification::ComputeResources() { // A static nil object is used here to avoid allocating the empty object every time. required_resources_ = ResourceSet::Nil(); } else { - required_resources_.reset(new ResourceSet(MapFromProtobuf(required_resources))); + required_resources_ = + std::make_shared(MapFromProtobuf(required_resources)); } auto &required_placement_resources = message_->required_placement_resources().empty() @@ -109,8 +110,8 @@ void TaskSpecification::ComputeResources() { if (required_placement_resources.empty()) { required_placement_resources_ = ResourceSet::Nil(); } else { - required_placement_resources_.reset( - new ResourceSet(MapFromProtobuf(required_placement_resources))); + required_placement_resources_ = + std::make_shared(MapFromProtobuf(required_placement_resources)); } // Set LabelSelector required for scheduling if specified. Parses string map @@ -166,12 +167,7 @@ const std::string TaskSpecification::GetSerializedActorHandle() const { return message_->actor_creation_task_spec().serialized_actor_handle(); } -JobID TaskSpecification::JobId() const { - if (message_->job_id().empty() /* e.g., empty proto default */) { - return JobID::Nil(); - } - return JobID::FromBinary(message_->job_id()); -} +JobID TaskSpecification::JobId() const { return JobID::FromBinary(message_->job_id()); } const rpc::JobConfig &TaskSpecification::JobConfig() const { return message_->job_config(); diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index d23fd5bff286..18ad83f80a44 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -283,12 +283,7 @@ class TaskSpecification : public MessageWrapper { /// The input message will be copied/moved into this object. /// /// \param message The protobuf message. - explicit TaskSpecification(rpc::TaskSpec &&message) - : MessageWrapper(std::move(message)) { - ComputeResources(); - } - - explicit TaskSpecification(const rpc::TaskSpec &message) : MessageWrapper(message) { + explicit TaskSpecification(rpc::TaskSpec message) : MessageWrapper(std::move(message)) { ComputeResources(); } diff --git a/src/ray/common/tests/BUILD.bazel b/src/ray/common/tests/BUILD.bazel index 76b56ffbb30d..4822452c0d8b 100644 --- a/src/ray/common/tests/BUILD.bazel +++ b/src/ray/common/tests/BUILD.bazel @@ -112,7 +112,6 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", "//src/ray/protobuf:common_cc_proto", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/common/tests/id_test.cc b/src/ray/common/tests/id_test.cc index 1264dcf0db30..eee4b98e5b5b 100644 --- a/src/ray/common/tests/id_test.cc +++ b/src/ray/common/tests/id_test.cc @@ -18,7 +18,6 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/common_protocol.h" -#include "ray/common/task/task_spec.h" namespace ray { @@ -176,4 +175,31 @@ TEST(PlacementGroupIDTest, TestPlacementGroup) { } } +TEST(LeaseIDTest, TestLeaseID) { + // Test basic LeaseID creation, size, and worker extraction + const WorkerID worker_id = WorkerID::FromRandom(); + const LeaseID lease_id = LeaseID::FromWorker(worker_id, 2); + const size_t lease_id_size = 32; + ASSERT_FALSE(lease_id.IsNil()); + ASSERT_EQ(lease_id.WorkerId(), worker_id); + ASSERT_EQ(LeaseID::Size(), lease_id_size); + ASSERT_EQ(lease_id.Binary().size(), lease_id_size); + + const LeaseID random_lease = LeaseID::FromRandom(); + const LeaseID another_lease = LeaseID::FromWorker(worker_id, 1); + + ASSERT_FALSE(random_lease.IsNil()); + ASSERT_NE(lease_id, another_lease); + ASSERT_NE(lease_id, random_lease); + ASSERT_EQ(lease_id.WorkerId(), another_lease.WorkerId()); + + // Test serialization roundtrip + const LeaseID from_hex = LeaseID::FromHex(lease_id.Hex()); + const LeaseID from_binary = LeaseID::FromBinary(lease_id.Binary()); + + ASSERT_EQ(lease_id, from_hex); + ASSERT_EQ(lease_id, from_binary); + ASSERT_EQ(lease_id.WorkerId(), from_hex.WorkerId()); +} + } // namespace ray diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 5b6ff9734078..5a6c7c1963c3 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -190,7 +190,7 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", + "//src/ray/common:lease", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/core_worker/lease_policy.cc b/src/ray/core_worker/lease_policy.cc index 10e4471cf39c..f1efd15e951c 100644 --- a/src/ray/core_worker/lease_policy.cc +++ b/src/ray/core_worker/lease_policy.cc @@ -21,8 +21,8 @@ namespace ray { namespace core { -std::pair LocalityAwareLeasePolicy::GetBestNodeForTask( - const TaskSpecification &spec) { +std::pair LocalityAwareLeasePolicy::GetBestNodeForLease( + const LeaseSpecification &spec) { if (spec.GetMessage().scheduling_strategy().scheduling_strategy_case() == rpc::SchedulingStrategy::SchedulingStrategyCase::kSpreadSchedulingStrategy) { // The explicit spread scheduling strategy @@ -40,7 +40,7 @@ std::pair LocalityAwareLeasePolicy::GetBestNodeForTask( } // Pick node based on locality. - if (auto node_id = GetBestNodeIdForTask(spec)) { + if (auto node_id = GetBestNodeIdForLease(spec)) { if (auto addr = node_addr_factory_(node_id.value())) { return std::make_pair(addr.value(), true); } @@ -49,8 +49,8 @@ std::pair LocalityAwareLeasePolicy::GetBestNodeForTask( } /// Criteria for "best" node: The node with the most object bytes (from object_ids) local. -std::optional LocalityAwareLeasePolicy::GetBestNodeIdForTask( - const TaskSpecification &spec) { +std::optional LocalityAwareLeasePolicy::GetBestNodeIdForLease( + const LeaseSpecification &spec) { const auto object_ids = spec.GetDependencyIds(); // Number of object bytes (from object_ids) that a given node has local. absl::flat_hash_map bytes_local_table; @@ -76,8 +76,8 @@ std::optional LocalityAwareLeasePolicy::GetBestNodeIdForTask( return max_bytes_node; } -std::pair LocalLeasePolicy::GetBestNodeForTask( - const TaskSpecification &spec) { +std::pair LocalLeasePolicy::GetBestNodeForLease( + const LeaseSpecification &spec) { // Always return the local node. return std::make_pair(local_node_rpc_address_, false); } diff --git a/src/ray/core_worker/lease_policy.h b/src/ray/core_worker/lease_policy.h index 78c927802987..78ae5d4aefd6 100644 --- a/src/ray/core_worker/lease_policy.h +++ b/src/ray/core_worker/lease_policy.h @@ -18,7 +18,7 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/id.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/lease/lease_spec.h" #include "src/ray/protobuf/common.pb.h" namespace ray { @@ -41,9 +41,9 @@ class LocalityDataProviderInterface { /// Interface for mocking the lease policy. class LeasePolicyInterface { public: - /// Get the address of the best worker node for a lease request for the provided task. - virtual std::pair GetBestNodeForTask( - const TaskSpecification &spec) = 0; + /// Get the address of the best worker node for a lease request. + virtual std::pair GetBestNodeForLease( + const LeaseSpecification &spec) = 0; virtual ~LeasePolicyInterface() = default; }; @@ -63,13 +63,13 @@ class LocalityAwareLeasePolicy : public LeasePolicyInterface { ~LocalityAwareLeasePolicy() override = default; - /// Get the address of the best worker node for a lease request for the provided task. - std::pair GetBestNodeForTask( - const TaskSpecification &spec) override; + /// Get the address of the best worker node for a lease request. + std::pair GetBestNodeForLease( + const LeaseSpecification &spec) override; private: - /// Get the best worker node for a lease request for the provided task. - std::optional GetBestNodeIdForTask(const TaskSpecification &spec); + /// Get the best worker node for a lease request. + std::optional GetBestNodeIdForLease(const LeaseSpecification &spec); /// Provider of locality data that will be used in choosing the best lessor. LocalityDataProviderInterface &locality_data_provider_; @@ -90,9 +90,9 @@ class LocalLeasePolicy : public LeasePolicyInterface { ~LocalLeasePolicy() override = default; - /// Get the address of the local node for a lease request for the provided task. - std::pair GetBestNodeForTask( - const TaskSpecification &spec) override; + /// Get the address of the local node for a lease request. + std::pair GetBestNodeForLease( + const LeaseSpecification &spec) override; private: /// RPC address of the local node. diff --git a/src/ray/core_worker/task_manager_interface.h b/src/ray/core_worker/task_manager_interface.h index 9ba0260b40bd..34e04140984d 100644 --- a/src/ray/core_worker/task_manager_interface.h +++ b/src/ray/core_worker/task_manager_interface.h @@ -19,9 +19,9 @@ #include "absl/types/optional.h" #include "ray/common/id.h" +#include "ray/common/lease/lease.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" -#include "ray/common/task/task.h" #include "ray/common/task/task_spec.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 6cd702f312f6..09362fe45c2d 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -88,6 +88,7 @@ ray_cc_library( deps = [ ":dependency_resolver", "//src/ray/common:id", + "//src/ray/common:lease", "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager", diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 773852cd3837..0b7ba9e4c781 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -21,6 +21,7 @@ #include #include +#include "ray/common/lease/lease_spec.h" #include "ray/gcs/pb_util.h" namespace ray { @@ -62,9 +63,15 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { const SchedulingKey scheduling_key(task_spec.GetSchedulingClass(), task_spec.GetDependencyIds(), task_spec.GetRuntimeEnvHash()); - auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; - scheduling_key_entry.task_queue.push_back(task_spec); - scheduling_key_entry.resource_spec = std::move(task_spec); + auto [scheduler_key_entry_iter, new_scheduling_key_entry] = + scheduling_key_entries_.try_emplace(scheduling_key, SchedulingKeyEntry{}); + auto &scheduling_key_entry = scheduler_key_entry_iter->second; + + // Only set lease_spec if this is a new scheduling key entry + if (new_scheduling_key_entry) { + scheduling_key_entry.lease_spec = LeaseSpecification(task_spec.GetMessage()); + } + scheduling_key_entry.task_queue.push_back(std::move(task_spec)); if (!scheduling_key_entry.AllWorkersBusy()) { // There are idle workers, so we don't need more @@ -94,11 +101,11 @@ void NormalTaskSubmitter::AddWorkerLeaseClient( std::shared_ptr raylet_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, - const TaskID &task_id) { + const LeaseID &lease_id) { core_worker_client_pool_->GetOrConnect(addr); int64_t expiration = current_time_ms() + lease_timeout_ms_; LeaseEntry new_lease_entry{ - std::move(raylet_client), expiration, assigned_resources, scheduling_key, task_id}; + std::move(raylet_client), expiration, assigned_resources, scheduling_key, lease_id}; worker_to_lease_entry_.emplace(addr, new_lease_entry); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -106,11 +113,11 @@ void NormalTaskSubmitter::AddWorkerLeaseClient( RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); } -void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, - bool was_error, - const std::string &error_detail, - bool worker_exiting, - const SchedulingKey &scheduling_key) { +void NormalTaskSubmitter::ReturnWorkerLease(const rpc::Address &addr, + bool was_error, + const std::string &error_detail, + bool worker_exiting, + const SchedulingKey &scheduling_key) { RAY_LOG(DEBUG) << "Returning worker " << WorkerID::FromBinary(addr.worker_id()) << " to raylet " << NodeID::FromBinary(addr.node_id()); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -129,11 +136,11 @@ void NormalTaskSubmitter::ReturnWorker(const rpc::Address &addr, } auto status = - lease_entry.raylet_client->ReturnWorker(addr.port(), - WorkerID::FromBinary(addr.worker_id()), - was_error, - error_detail, - worker_exiting); + lease_entry.raylet_client->ReturnWorkerLease(addr.port(), + WorkerID::FromBinary(addr.worker_id()), + was_error, + error_detail, + worker_exiting); if (!status.ok()) { RAY_LOG(ERROR) << "Error returning worker to raylet: " << status.ToString(); } @@ -164,7 +171,7 @@ void NormalTaskSubmitter::OnWorkerIdle( // Return the worker only if there are no tasks to do. if (!lease_entry.is_busy) { - ReturnWorker(addr, was_error, error_detail, worker_exiting, scheduling_key); + ReturnWorkerLease(addr, was_error, error_detail, worker_exiting, scheduling_key); } } else { auto client = core_worker_client_pool_->GetOrConnect(addr); @@ -207,10 +214,10 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul // There is an in-flight lease request. Cancel it. auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(pending_lease_request.second); - auto &task_id = pending_lease_request.first; - RAY_LOG(DEBUG) << "Canceling lease request " << task_id; + const auto &lease_id = pending_lease_request.first; + RAY_LOG(DEBUG) << "Canceling lease request " << lease_id; raylet_client->CancelWorkerLease( - task_id, + lease_id, [this, scheduling_key](const Status &status, const rpc::CancelWorkerLeaseReply &reply) { absl::MutexLock lock(&mu_); @@ -235,11 +242,11 @@ void NormalTaskSubmitter::ReportWorkerBacklog() { } void NormalTaskSubmitter::ReportWorkerBacklogInternal() { - absl::flat_hash_map> backlogs; + absl::flat_hash_map> backlogs; for (auto &scheduling_key_and_entry : scheduling_key_entries_) { const SchedulingClass scheduling_class = std::get<0>(scheduling_key_and_entry.first); if (backlogs.find(scheduling_class) == backlogs.end()) { - backlogs[scheduling_class].first = scheduling_key_and_entry.second.resource_spec; + backlogs[scheduling_class].first = scheduling_key_and_entry.second.lease_spec; backlogs[scheduling_class].second = 0; } // We report backlog size per scheduling class not per scheduling key @@ -253,7 +260,7 @@ void NormalTaskSubmitter::ReportWorkerBacklogInternal() { std::vector backlog_reports; for (const auto &backlog : backlogs) { rpc::WorkerBacklogReport backlog_report; - backlog_report.mutable_resource_spec()->CopyFrom(backlog.second.first.GetMessage()); + backlog_report.mutable_lease_spec()->CopyFrom(backlog.second.first.GetMessage()); backlog_report.set_backlog_size(backlog.second.second); backlog_reports.emplace_back(backlog_report); } @@ -302,36 +309,35 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli // All tasks have corresponding pending leases, no need to request more return; } - - // Create a TaskSpecification with an overwritten TaskID to make sure we don't reuse the - // same TaskID to request a worker - auto resource_spec_msg = scheduling_key_entry.resource_spec.GetMutableMessage(); - resource_spec_msg.set_task_id(TaskID::FromRandom(job_id_).Binary()); - const TaskSpecification resource_spec = TaskSpecification(std::move(resource_spec_msg)); + // Counter for generating unique lease IDs. + static uint32_t lease_id_counter = 1; + const LeaseID lease_id = LeaseID::FromWorker(worker_id_, lease_id_counter++); + rpc::LeaseSpec lease_spec_msg = scheduling_key_entry.lease_spec.GetMessage(); + lease_spec_msg.set_lease_id(lease_id.Binary()); + const LeaseSpecification lease_spec = LeaseSpecification(std::move(lease_spec_msg)); rpc::Address best_node_address; const bool is_spillback = (raylet_address != nullptr); bool is_selected_based_on_locality = false; if (raylet_address == nullptr) { // If no raylet address is given, find the best worker for our next lease request. std::tie(best_node_address, is_selected_based_on_locality) = - lease_policy_->GetBestNodeForTask(resource_spec); + lease_policy_->GetBestNodeForLease(lease_spec); raylet_address = &best_node_address; } auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(*raylet_address); - const TaskID task_id = resource_spec.TaskId(); - const std::string task_name = resource_spec.GetName(); - RAY_LOG(DEBUG) << "Requesting lease from raylet " - << NodeID::FromBinary(raylet_address->node_id()) << " for task " - << task_id; + const std::string function_or_actor_name = lease_spec.GetFunctionOrActorName(); + RAY_LOG(DEBUG) << "Requesting lease " << lease_id << " from raylet " + << NodeID::FromBinary(raylet_address->node_id()) << " for " + << function_or_actor_name; raylet_client->RequestWorkerLease( - resource_spec.GetMessage(), + lease_spec.GetMessage(), /*grant_or_reject=*/is_spillback, [this, scheduling_key, - task_id, - task_name, + lease_id, + function_or_actor_name, is_spillback, raylet_address = *raylet_address](const Status &status, const rpc::RequestWorkerLeaseReply &reply) { @@ -345,12 +351,11 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli auto &sched_entry = scheduling_key_entries_[scheduling_key]; auto raylet_lease_client = raylet_client_pool_->GetOrConnectByAddress(raylet_address); - sched_entry.pending_lease_requests.erase(task_id); + sched_entry.pending_lease_requests.erase(lease_id); if (status.ok()) { if (reply.canceled()) { - RAY_LOG(DEBUG) << "Lease canceled for task: " << task_id - << ", canceled type: " + RAY_LOG(DEBUG) << "Lease canceled for: " << lease_id << ", canceled type: " << rpc::RequestWorkerLeaseReply::SchedulingFailureType_Name( reply.failure_type()); if (reply.failure_type() == @@ -383,10 +388,10 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli } error_info.set_error_message( absl::StrCat(reply.scheduling_failure_message(), - " task_id=", - task_id.Hex(), - ", task_name=", - task_name)); + " lease_id=", + lease_id.Hex(), + ", name=", + function_or_actor_name)); tasks_to_fail = std::move(sched_entry.task_queue); sched_entry.task_queue.clear(); @@ -397,7 +402,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli RequestNewWorkerIfNeeded(scheduling_key); } } else if (reply.rejected()) { - RAY_LOG(DEBUG) << "Lease rejected " << task_id; + RAY_LOG(DEBUG) << "Lease rejected " << lease_id; // It might happen when the first raylet has a stale view // of the spillback raylet resources. // Retry the request at the first raylet since the resource view may be @@ -407,7 +412,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli } else if (!reply.worker_address().node_id().empty()) { // We got a lease for a worker. Add the lease client state and try to // assign work to the worker. - RAY_LOG(DEBUG) << "Lease granted to task " << task_id << " from raylet " + RAY_LOG(DEBUG) << "Lease granted to task " << lease_id << " from raylet " << NodeID::FromBinary(reply.worker_address().node_id()) << " with worker " << WorkerID::FromBinary(reply.worker_address().worker_id()); @@ -416,7 +421,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli std::move(raylet_lease_client), reply.resource_mapping(), scheduling_key, - task_id); + lease_id); RAY_CHECK(sched_entry.active_workers.size() >= 1); OnWorkerIdle(reply.worker_address(), scheduling_key, @@ -427,11 +432,12 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli } else { // The raylet redirected us to a different raylet to retry at. RAY_CHECK(!is_spillback); - RAY_LOG(DEBUG) << "Redirect lease for task " << task_id << " from raylet " + RAY_LOG(DEBUG) << "Redirect lease " << lease_id << " from raylet " << NodeID::FromBinary(raylet_address.node_id()) << " to raylet " << NodeID::FromBinary( - reply.retry_at_raylet_address().node_id()); + reply.retry_at_raylet_address().node_id()) + << " for " << function_or_actor_name; RequestNewWorkerIfNeeded(scheduling_key, &reply.retry_at_raylet_address()); } @@ -440,8 +446,8 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli // still needed. // TODO(swang): Fail after some number of retries? RAY_LOG_EVERY_MS(INFO, 30 * 1000) - << "Retrying attempt to schedule task (id: " << task_id - << " name: " << task_name + << "Retrying attempt to schedule lease (id: " << lease_id + << " name: " << function_or_actor_name << ") at remote node (id: " << raylet_address.node_id() << " ip: " << raylet_address.ip_address() << "). Try again " @@ -499,7 +505,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli }, task_queue.size(), is_selected_based_on_locality); - scheduling_key_entry.pending_lease_requests.emplace(task_id, *raylet_address); + scheduling_key_entry.pending_lease_requests.emplace(lease_id, *raylet_address); ReportWorkerBacklogIfNeeded(scheduling_key); // Lease more workers if there are still pending tasks and @@ -565,16 +571,17 @@ void NormalTaskSubmitter::PushNormalTask( if (!status.ok()) { failed_tasks_pending_failure_cause_.insert(task_id); RAY_LOG(DEBUG) << "Getting error from raylet for task " << task_id; - const ray::rpc::ClientCallback callback = - [this, status, task_id, addr]( - const Status &get_task_failure_cause_reply_status, - const rpc::GetTaskFailureCauseReply &get_task_failure_cause_reply) { + const ray::rpc::ClientCallback + callback = [this, status, task_id, addr]( + const Status &get_task_failure_cause_reply_status, + const rpc::GetWorkerFailureCauseReply + &get_task_failure_cause_reply) { bool will_retry = - HandleGetTaskFailureCause(status, - task_id, - addr, - get_task_failure_cause_reply_status, - get_task_failure_cause_reply); + HandleGetWorkerFailureCause(status, + task_id, + addr, + get_task_failure_cause_reply_status, + get_task_failure_cause_reply); absl::MutexLock task_submission_state_lock(&mu_); if (!will_retry) { // Task submission and task cancellation are the only two other code @@ -587,8 +594,8 @@ void NormalTaskSubmitter::PushNormalTask( }; auto &cur_lease_entry = worker_to_lease_entry_[addr]; RAY_CHECK(cur_lease_entry.raylet_client); - cur_lease_entry.raylet_client->GetTaskFailureCause(cur_lease_entry.task_id, - callback); + cur_lease_entry.raylet_client->GetWorkerFailureCause(cur_lease_entry.lease_id, + callback); } OnWorkerIdle(addr, scheduling_key, @@ -619,31 +626,32 @@ void NormalTaskSubmitter::PushNormalTask( }); } -bool NormalTaskSubmitter::HandleGetTaskFailureCause( +bool NormalTaskSubmitter::HandleGetWorkerFailureCause( const Status &task_execution_status, const TaskID &task_id, const rpc::Address &addr, - const Status &get_task_failure_cause_reply_status, - const rpc::GetTaskFailureCauseReply &get_task_failure_cause_reply) { + const Status &get_worker_failure_cause_reply_status, + const rpc::GetWorkerFailureCauseReply &get_worker_failure_cause_reply) { rpc::ErrorType task_error_type = rpc::ErrorType::WORKER_DIED; std::unique_ptr error_info; bool fail_immediately = false; - if (get_task_failure_cause_reply_status.ok()) { - RAY_LOG(WARNING) << "Task failure cause for task " << task_id << ": " + if (get_worker_failure_cause_reply_status.ok()) { + RAY_LOG(WARNING) << "Worker failure cause for task " << task_id << ": " << ray::gcs::RayErrorInfoToString( - get_task_failure_cause_reply.failure_cause()) + get_worker_failure_cause_reply.failure_cause()) << " fail immedediately: " - << get_task_failure_cause_reply.fail_task_immediately(); - if (get_task_failure_cause_reply.has_failure_cause()) { - task_error_type = get_task_failure_cause_reply.failure_cause().error_type(); + << get_worker_failure_cause_reply.fail_task_immediately(); + if (get_worker_failure_cause_reply.has_failure_cause()) { + task_error_type = get_worker_failure_cause_reply.failure_cause().error_type(); error_info = std::make_unique( - get_task_failure_cause_reply.failure_cause()); + get_worker_failure_cause_reply.failure_cause()); // TODO(clarng): track and append task retry history to the error message. } - fail_immediately = get_task_failure_cause_reply.fail_task_immediately(); + fail_immediately = get_worker_failure_cause_reply.fail_task_immediately(); } else { - RAY_LOG(WARNING) << "Failed to fetch task result with status " - << get_task_failure_cause_reply_status.ToString() + RAY_LOG(WARNING) << "Failed to fetch worker failure cause with status " + << get_worker_failure_cause_reply_status.ToString() + << " worker id: " << WorkerID::FromBinary(addr.worker_id()) << " node id: " << NodeID::FromBinary(addr.node_id()) << " ip: " << addr.ip_address(); task_error_type = rpc::ErrorType::NODE_DIED; diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 1ff97333e5d7..856c322cfd23 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -201,7 +201,7 @@ class NormalTaskSubmitter { std::shared_ptr raylet_client, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, - const TaskID &task_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); + const LeaseID &lease_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); /// This function takes care of returning a worker to the Raylet. /// \param[in] addr The address of the worker. @@ -209,11 +209,11 @@ class NormalTaskSubmitter { /// \param[in] error_detail The reason why it was errored. /// it is unused if was_error is false. /// \param[in] worker_exiting Whether the worker is exiting. - void ReturnWorker(const rpc::Address &addr, - bool was_error, - const std::string &error_detail, - bool worker_exiting, - const SchedulingKey &scheduling_key) + void ReturnWorkerLease(const rpc::Address &addr, + bool was_error, + const std::string &error_detail, + bool worker_exiting, + const SchedulingKey &scheduling_key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); /// Check that the scheduling_key_entries_ hashmap is empty. @@ -229,14 +229,14 @@ class NormalTaskSubmitter { const google::protobuf::RepeatedPtrField &assigned_resources); - /// Handles result from GetTaskFailureCause. - /// \return true if the task should be retried, false otherwise. - bool HandleGetTaskFailureCause( + /// Handles result from GetWorkerFailureCause. + /// \return true if the task executing on the worker should be retried, false otherwise. + bool HandleGetWorkerFailureCause( const Status &task_execution_status, const TaskID &task_id, const rpc::Address &addr, - const Status &get_task_failure_cause_reply_status, - const rpc::GetTaskFailureCauseReply &get_task_failure_cause_reply); + const Status &get_worker_failure_cause_reply_status, + const rpc::GetWorkerFailureCauseReply &get_worker_failure_cause_reply); /// Address of our RPC server. rpc::Address rpc_address_; @@ -291,7 +291,7 @@ class NormalTaskSubmitter { int64_t lease_expiration_time; google::protobuf::RepeatedPtrField assigned_resources; SchedulingKey scheduling_key; - TaskID task_id; + LeaseID lease_id; bool is_busy = false; }; @@ -301,8 +301,9 @@ class NormalTaskSubmitter { struct SchedulingKeyEntry { // Keep track of pending worker lease requests to the raylet. - absl::flat_hash_map pending_lease_requests; - TaskSpecification resource_spec; + absl::flat_hash_map pending_lease_requests; + + LeaseSpecification lease_spec; // Tasks that are queued for execution. We keep an individual queue per // scheduling class to ensure fairness. std::deque task_queue; diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index 5798da1df518..a3af7a15b838 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -223,11 +223,11 @@ class MockTaskManager : public MockTaskManagerInterface { class MockRayletClient : public FakeRayletClient { public: - Status ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { + Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { std::lock_guard lock(mu_); if (disconnect_worker) { num_workers_disconnected++; @@ -240,22 +240,22 @@ class MockRayletClient : public FakeRayletClient { return Status::OK(); } - void GetTaskFailureCause( - const TaskID &task_id, - const ray::rpc::ClientCallback &callback) + void GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) override { std::lock_guard lock(mu_); get_task_failure_cause_callbacks.push_back(callback); num_get_task_failure_causes += 1; } - bool ReplyGetTaskFailureCause() { + bool ReplyGetWorkerFailureCause() { if (get_task_failure_cause_callbacks.size() == 0) { return false; } auto callback = std::move(get_task_failure_cause_callbacks.front()); get_task_failure_cause_callbacks.pop_front(); - rpc::GetTaskFailureCauseReply reply; + rpc::GetWorkerFailureCauseReply reply; callback(Status::OK(), std::move(reply)); return true; } @@ -268,14 +268,14 @@ class MockRayletClient : public FakeRayletClient { reported_backlogs.clear(); for (const auto &backlog_report : backlog_reports) { reported_backlog_size += backlog_report.backlog_size(); - const TaskSpecification resource_spec(backlog_report.resource_spec()); - const SchedulingClass scheduling_class = resource_spec.GetSchedulingClass(); + const LeaseSpecification lease_spec(backlog_report.lease_spec()); + const SchedulingClass scheduling_class = lease_spec.GetSchedulingClass(); reported_backlogs[scheduling_class] = backlog_report.backlog_size(); } } void RequestWorkerLease( - const rpc::TaskSpec &task_spec, + const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size, @@ -301,7 +301,7 @@ class MockRayletClient : public FakeRayletClient { } void CancelWorkerLease( - const TaskID &task_id, + const LeaseID &lease_id, const rpc::ClientCallback &callback) override { std::lock_guard lock(mu_); num_leases_canceled += 1; @@ -400,7 +400,7 @@ class MockRayletClient : public FakeRayletClient { std::map reported_backlogs; std::list> callbacks = {}; std::list> cancel_callbacks = {}; - std::list> + std::list> get_task_failure_cause_callbacks = {}; }; @@ -447,7 +447,7 @@ class MockLeasePolicy : public LeasePolicyInterface { public: void SetNodeID(NodeID node_id) { fallback_rpc_address_.set_node_id(node_id.Binary()); } - std::pair GetBestNodeForTask(const TaskSpecification &spec) { + std::pair GetBestNodeForLease(const LeaseSpecification &spec) { num_lease_policy_consults++; return std::make_pair(fallback_rpc_address_, is_locality_aware); }; @@ -660,7 +660,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate a system failure, i.e., worker died unexpectedly. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); - ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -677,7 +677,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { // This test is a regression test for a bug where a crash happens when - // the task cancellation races between ReplyPushTask and ReplyGetTaskFailureCause. + // the task cancellation races between ReplyPushTask and ReplyGetWorkerFailureCause. // For an example of a python integration test, see // https://github.com/ray-project/ray/blob/2b6807f4d9c4572e6309f57bc404aa641bc4b185/python/ray/tests/test_cancel.py#L35 auto submitter = @@ -687,13 +687,13 @@ TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { ASSERT_TRUE(submitter.SubmitTask(task).ok()); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate a system failure, i.e., worker died unexpectedly so that - // GetTaskFailureCause is called. + // GetWorkerFailureCause is called. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); - // Cancel the task while GetTaskFailureCause has not been completed. + // Cancel the task while GetWorkerFailureCause has not been completed. ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); - // Completing the GetTaskFailureCause call. Check that the reply runs without error + // Completing the GetWorkerFailureCause call. Check that the reply runs without error // and FailPendingTask is not called. - ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); ASSERT_EQ(task_manager->num_fail_pending_task_calls, 0); } @@ -1278,7 +1278,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { // Task 1 finishes with failure; the worker is returned. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("worker dead"))); - ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -1701,7 +1701,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { // Task 1 finishes with failure; the worker is returned due to the error even though // it hasn't timed out. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("worker dead"))); - ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -1741,7 +1741,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); ASSERT_EQ(worker_client->kill_requests.front().intended_task_id(), task.TaskIdBinary()); ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("workerdying"), true)); - ASSERT_TRUE(raylet_client->ReplyGetTaskFailureCause()); + ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(raylet_client->num_workers_returned_exiting, 0); diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index b9625c7b2469..451bff46d50f 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -200,7 +200,6 @@ ray_cc_test( srcs = ["lease_policy_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/common:task_common", "//src/ray/core_worker:lease_policy", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/tests/lease_policy_test.cc b/src/ray/core_worker/tests/lease_policy_test.cc index 37e1a584cd2c..b1219bcf375a 100644 --- a/src/ray/core_worker/tests/lease_policy_test.cc +++ b/src/ray/core_worker/tests/lease_policy_test.cc @@ -18,22 +18,19 @@ #include #include "gtest/gtest.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/lease/lease_spec.h" namespace ray { namespace core { -TaskSpecification CreateFakeTask(std::vector deps) { - TaskSpecification spec; - spec.GetMutableMessage().set_task_id(TaskID::FromRandom(JobID::FromInt(1)).Binary()); +LeaseSpecification CreateFakeLease(std::vector deps) { + rpc::LeaseSpec spec; for (auto &dep : deps) { - spec.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( - dep.Binary()); + spec.add_dependencies()->set_object_id(dep.Binary()); } - spec.GetMutableMessage() - .mutable_scheduling_strategy() - ->mutable_default_scheduling_strategy(); - return spec; + spec.set_lease_id(LeaseID::FromRandom().Binary()); + spec.mutable_scheduling_strategy()->mutable_default_scheduling_strategy(); + return LeaseSpecification(spec); } class MockLocalityDataProvider : public LocalityDataProviderInterface { @@ -73,9 +70,9 @@ TEST(LocalLeasePolicyTest, TestReturnFallback) { ObjectID obj1 = ObjectID::FromRandom(); ObjectID obj2 = ObjectID::FromRandom(); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - local_lease_policy.GetBestNodeForTask(task_spec); + local_lease_policy.GetBestNodeForLease(lease_spec); // Test that fallback node was chosen. ASSERT_EQ(NodeID::FromBinary(best_node_address.node_id()), fallback_node); ASSERT_FALSE(is_selected_based_on_locality); @@ -96,12 +93,12 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackSpreadSchedulingStrat LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); - task_spec.GetMutableMessage() + auto lease_spec = CreateFakeLease(deps); + lease_spec.GetMutableMessage() .mutable_scheduling_strategy() ->mutable_spread_scheduling_strategy(); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality logic is not run since it's a spread scheduling strategy. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, 0); // Test that fallback node was chosen. @@ -125,14 +122,14 @@ TEST(LocalityAwareLeasePolicyTest, LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); NodeID node_affinity_node = NodeID::FromRandom(); - task_spec.GetMutableMessage() + lease_spec.GetMutableMessage() .mutable_scheduling_strategy() ->mutable_node_affinity_scheduling_strategy() ->set_node_id(node_affinity_node.Binary()); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality logic is not run since it's a node affinity scheduling strategy. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, 0); // Test that node affinity node was chosen. @@ -155,9 +152,9 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityDominatingNode) { LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. @@ -181,9 +178,9 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityBiggerObject) { LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. @@ -211,9 +208,9 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityBetterNode) { LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2, obj3}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that best node was chosen. @@ -235,9 +232,9 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackNoLocations) { LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. @@ -252,11 +249,11 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackNoDeps) { auto mock_locality_data_provider = std::make_shared(); LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactory, fallback_rpc_address); - // No task dependencies. + // No lease dependencies. std::vector deps; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. @@ -279,9 +276,9 @@ TEST(LocalityAwareLeasePolicyTest, TestBestLocalityFallbackAddrFetchFail) { LocalityAwareLeasePolicy locality_lease_policy( *mock_locality_data_provider, MockNodeAddrFactoryAlwaysNull, fallback_rpc_address); std::vector deps{obj1, obj2}; - auto task_spec = CreateFakeTask(deps); + auto lease_spec = CreateFakeLease(deps); auto [best_node_address, is_selected_based_on_locality] = - locality_lease_policy.GetBestNodeForTask(task_spec); + locality_lease_policy.GetBestNodeForLease(lease_spec); // Locality data provider should be called once for each dependency. ASSERT_EQ(mock_locality_data_provider->num_locality_data_fetches, deps.size()); // Test that fallback node was chosen. diff --git a/src/ray/design_docs/id_specification.md b/src/ray/design_docs/id_specification.md index e5a4e52368bb..8c56400f7a08 100644 --- a/src/ray/design_docs/id_specification.md +++ b/src/ray/design_docs/id_specification.md @@ -25,14 +25,19 @@ Ray ID Specification | TaskID | index bytes | ObjectID 28B +-----------------------------------------------------------------------+-----------------+ + 4B 28B ++-----------------+-----------------------------------------------------------------------+ +| unique bytes | WorkerID | LeaseID 32B ++-----------------+-----------------------------------------------------------------------+ + ``` #### JobID (4 bytes) `JobID` is generated by `GCS` to ensure uniqueness. Its length is 4 bytes. -#### ActorID (8 bytes) +#### ActorID (16 bytes) An `ActorID` contains two parts: 1) 12 unique bytes, and 2) its `JobID`. -#### TaskID (16 bytes) +#### TaskID (24 bytes) A `TaskID` contains two parts: 1) 8 unique bytes, and 2) its `ActorID`. If the task is a normal task or a driver task, the part 2 is its dummy actor id. @@ -58,3 +63,11 @@ An `ObjectID` contains 2 parts: and `n` is added to the `TaskID`'s unique bytes, where `n` is the number of times that task has executed so far. For task returns, the unique bytes are identical to the parent task. + +#### LeaseID (32 bytes) +A `LeaseID` contains 2 parts: +- `unique bytes`: 4 bytes generated via a counter unique to the lease requester +(worker or gcs). +- `WorkerID`: 28 bytes that represent the WorkerID of the lease requester. +In the case of the gcs it's randomly generated. Due to the possibility of GCS +restarts, we can't simply nil them out. diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 4c24d3ea9dd0..4ff406b335e5 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -106,8 +106,8 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", + "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_manager", - "//src/ray/raylet/scheduling:cluster_task_manager", "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", "//src/ray/util:logging", @@ -367,6 +367,7 @@ ray_cc_library( ], deps = [ "//src/ray/common:id", + "//src/ray/common:lease", "//src/ray/common:task_common", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/protobuf:export_event_cc_proto", diff --git a/src/ray/gcs/gcs_server/gcs_actor.cc b/src/ray/gcs/gcs_server/gcs_actor.cc index 0c4c44bbdc54..2e9b6769b052 100644 --- a/src/ray/gcs/gcs_server/gcs_actor.cc +++ b/src/ray/gcs/gcs_server/gcs_actor.cc @@ -126,6 +126,12 @@ void GcsActor::WriteActorExportEvent() const { rpc::TaskSpec *GcsActor::GetMutableTaskSpec() { return task_spec_.get(); } +rpc::LeaseSpec *GcsActor::GetMutableLeaseSpec() { + return &lease_spec_->GetMutableMessage(); +} + +const LeaseSpecification &GcsActor::GetLeaseSpecification() const { return *lease_spec_; } + const ResourceRequest &GcsActor::GetAcquiredResources() const { return acquired_resources_; } diff --git a/src/ray/gcs/gcs_server/gcs_actor.h b/src/ray/gcs/gcs_server/gcs_actor.h index b9aa9bea5019..4ea57bdfebfb 100644 --- a/src/ray/gcs/gcs_server/gcs_actor.h +++ b/src/ray/gcs/gcs_server/gcs_actor.h @@ -17,6 +17,7 @@ #include #include "ray/common/id.h" +#include "ray/common/lease/lease_spec.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/common/task/task_spec.h" #include "ray/util/counter_map.h" @@ -62,6 +63,7 @@ class GcsActor { task_spec_(std::make_unique(std::move(task_spec))), counter_(std::move(counter)), export_event_write_enabled_(IsExportAPIEnabledActor()) { + lease_spec_ = std::make_unique(*task_spec_); RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); RefreshMetrics(); } @@ -139,6 +141,7 @@ class GcsActor { actor_table_data_.mutable_label_selector()->insert( task_spec_->label_selector().begin(), task_spec_->label_selector().end()); } + lease_spec_ = std::make_unique(*task_spec_); RefreshMetrics(); } @@ -187,12 +190,14 @@ class GcsActor { std::string GetRayNamespace() const; /// Get the task specification of this actor. TaskSpecification GetCreationTaskSpecification() const; + const LeaseSpecification &GetLeaseSpecification() const; /// Get the immutable ActorTableData of this actor. const rpc::ActorTableData &GetActorTableData() const; /// Get the mutable ActorTableData of this actor. rpc::ActorTableData *GetMutableActorTableData(); rpc::TaskSpec *GetMutableTaskSpec(); + rpc::LeaseSpec *GetMutableLeaseSpec(); /// Write an event containing this actor's ActorTableData /// to file for the Export API. void WriteActorExportEvent() const; @@ -265,6 +270,7 @@ class GcsActor { std::optional last_metric_state_; /// If true, actor events are exported for Export API bool export_event_write_enabled_ = false; + std::unique_ptr lease_spec_; }; using RestartActorForLineageReconstructionCallback = diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index b8a45ed147e8..e2b9b5cbf064 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -1000,7 +1000,7 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, // worker exit to avoid process and resource leak. NotifyCoreWorkerToKillActor(actor, death_cause, force_kill); } - CancelActorInScheduling(actor, TaskID::ForActorCreationTask(actor_id)); + CancelActorInScheduling(actor); } } @@ -1710,16 +1710,16 @@ void GcsActorManager::KillActor(const ActorID &actor_id, bool force_kill) { NotifyCoreWorkerToKillActor( actor, GenKilledByApplicationCause(GetActor(actor_id)), force_kill); } else { - const auto &task_id = actor->GetCreationTaskSpecification().TaskId(); - RAY_LOG(DEBUG).WithField(actor->GetActorID()).WithField(task_id) - << "The actor hasn't been created yet, cancel scheduling task"; + const auto &lease_id = actor->GetLeaseSpecification().LeaseId(); + RAY_LOG(DEBUG).WithField(actor->GetActorID()).WithField(lease_id) + << "The actor hasn't been created yet, cancel scheduling lease"; if (!worker_id.IsNil()) { // The actor is in phase of creating, so we need to notify the core // worker exit to avoid process and resource leak. NotifyCoreWorkerToKillActor( actor, GenKilledByApplicationCause(GetActor(actor_id)), force_kill); } - CancelActorInScheduling(actor, task_id); + CancelActorInScheduling(actor); RestartActor(actor_id, /*need_reschedule=*/true, GenKilledByApplicationCause(GetActor(actor_id))); @@ -1743,10 +1743,10 @@ void GcsActorManager::AddDestroyedActorToCache(const std::shared_ptr & } } -void GcsActorManager::CancelActorInScheduling(const std::shared_ptr &actor, - const TaskID &task_id) { - RAY_LOG(DEBUG).WithField(actor->GetActorID()).WithField(task_id) - << "Cancel actor in scheduling"; +void GcsActorManager::CancelActorInScheduling(const std::shared_ptr &actor) { + auto lease_id = actor->GetLeaseSpecification().LeaseId(); + RAY_LOG(DEBUG).WithField(actor->GetActorID()).WithField(lease_id) + << "Cancel actor in scheduling, this may be due to resource re-eviction"; const auto &actor_id = actor->GetActorID(); const auto &node_id = actor->GetNodeID(); // The actor has not been created yet. It is either being scheduled or is @@ -1763,7 +1763,7 @@ void GcsActorManager::CancelActorInScheduling(const std::shared_ptr &a // it doesn't responds, and the actor should be still in leasing state. // NOTE: We will cancel outstanding lease request by calling // `raylet_client->CancelWorkerLease`. - gcs_actor_scheduler_->CancelOnLeasing(node_id, actor_id, task_id); + gcs_actor_scheduler_->CancelOnLeasing(node_id, actor_id, lease_id); // Return the actor's acquired resources (if any). gcs_actor_scheduler_->OnActorDestruction(actor); } diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index a0dab85a3903..479d3818100b 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -392,9 +392,8 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { /// Cancel actor which is either being scheduled or is pending scheduling. /// /// \param actor The actor to be cancelled. - /// \param task_id The id of actor creation task to be cancelled. - void CancelActorInScheduling(const std::shared_ptr &actor, - const TaskID &task_id); + /// \param lease_id The lease id of actor creation task to be cancelled. + void CancelActorInScheduling(const std::shared_ptr &actor); /// Get the alive or dead actor of the actor id. /// NOTE: The return value is not meant to be passed to other scope. diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index 9868f13cf08c..c8e2aff769dc 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -30,7 +30,7 @@ GcsActorScheduler::GcsActorScheduler( instrumented_io_context &io_context, GcsActorTable &gcs_actor_table, const GcsNodeManager &gcs_node_manager, - ClusterTaskManager &cluster_task_manager, + ClusterLeaseManager &cluster_lease_manager, GcsActorSchedulerFailureCallback schedule_failure_handler, GcsActorSchedulerSuccessCallback schedule_success_handler, rpc::RayletClientPool &raylet_client_pool, @@ -40,7 +40,7 @@ GcsActorScheduler::GcsActorScheduler( : io_context_(io_context), gcs_actor_table_(gcs_actor_table), gcs_node_manager_(gcs_node_manager), - cluster_task_manager_(cluster_task_manager), + cluster_lease_manager_(cluster_lease_manager), schedule_failure_handler_(std::move(schedule_failure_handler)), schedule_success_handler_(std::move(schedule_success_handler)), raylet_client_pool_(raylet_client_pool), @@ -54,7 +54,7 @@ void GcsActorScheduler::Schedule(std::shared_ptr actor) { RAY_CHECK(actor->GetNodeID().IsNil() && actor->GetWorkerID().IsNil()); if (RayConfig::instance().gcs_actor_scheduling_enabled() && - !actor->GetCreationTaskSpecification().GetRequiredResources().IsEmpty()) { + !actor->GetLeaseSpecification().GetRequiredResources().IsEmpty()) { ScheduleByGcs(actor); } else { ScheduleByRaylet(actor); @@ -90,8 +90,7 @@ void GcsActorScheduler::ScheduleByGcs(std::shared_ptr actor) { .second); actor->SetAcquiredResources(ResourceMapToResourceRequest( - actor->GetCreationTaskSpecification().GetRequiredResources().GetResourceMap(), - false)); + actor->GetLeaseSpecification().GetRequiredResources().GetResourceMap(), false)); // Lease worker directly from the node. actor->SetGrantOrReject(true); LeaseWorkerFromNode(actor, node.value()); @@ -99,13 +98,14 @@ void GcsActorScheduler::ScheduleByGcs(std::shared_ptr actor) { // Queue and schedule the actor locally (gcs). const auto &owner_node = gcs_node_manager_.GetAliveNode(actor->GetOwnerNodeID()); - RayTask task(actor->GetCreationTaskSpecification(), - owner_node.has_value() ? actor->GetOwnerNodeID().Binary() : std::string()); - cluster_task_manager_.QueueAndScheduleTask(std::move(task), - /*grant_or_reject*/ false, - /*is_selected_based_on_locality*/ false, - /*reply*/ reply.get(), - send_reply_callback); + RayLease lease( + actor->GetLeaseSpecification(), + owner_node.has_value() ? actor->GetOwnerNodeID().Binary() : std::string()); + cluster_lease_manager_.QueueAndScheduleLease(std::move(lease), + /*grant_or_reject=*/false, + /*is_selected_based_on_locality=*/false, + /*reply=*/reply.get(), + send_reply_callback); } void GcsActorScheduler::ScheduleByRaylet(std::shared_ptr actor) { @@ -142,8 +142,8 @@ NodeID GcsActorScheduler::SelectForwardingNode(std::shared_ptr actor) // If an actor has resource requirements, we will try to schedule it on the same node as // the owner if possible. - const auto &task_spec = actor->GetCreationTaskSpecification(); - if (!task_spec.GetRequiredResources().IsEmpty()) { + const auto &lease_spec = actor->GetLeaseSpecification(); + if (!lease_spec.GetRequiredResources().IsEmpty()) { auto maybe_node = gcs_node_manager_.GetAliveNode(actor->GetOwnerNodeID()); node = maybe_node.has_value() ? maybe_node.value() : SelectNodeRandomly(); } else { @@ -227,10 +227,10 @@ std::vector GcsActorScheduler::CancelOnNode(const NodeID &node_id) { void GcsActorScheduler::CancelOnLeasing(const NodeID &node_id, const ActorID &actor_id, - const TaskID &task_id) { + const LeaseID &lease_id) { // NOTE: This method will cancel the outstanding lease request and remove leasing // information from the internal state. - RAY_LOG(DEBUG) << "Canceling worker leasing of task " << task_id; + RAY_LOG(DEBUG) << "Canceling worker lease request " << lease_id; auto node_it = node_to_actors_when_leasing_.find(node_id); RAY_CHECK(node_it != node_to_actors_when_leasing_.end()); node_it->second.erase(actor_id); @@ -248,7 +248,7 @@ void GcsActorScheduler::CancelOnLeasing(const NodeID &node_id, address.set_port(node_info->node_manager_port()); auto raylet_client = GetOrConnectRayletClient(address); raylet_client->CancelWorkerLease( - task_id, [](const Status &status, const rpc::CancelWorkerLeaseReply &reply) {}); + lease_id, [](const Status &status, const rpc::CancelWorkerLeaseReply &reply) {}); } } @@ -327,8 +327,12 @@ void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, auto raylet_client = GetOrConnectRayletClient(remote_address); // Actor leases should be sent to the raylet immediately, so we should never build up a // backlog in GCS. + // Counter for generating unique lease IDs. + static uint32_t lease_id_counter = 1; + actor->GetMutableLeaseSpec()->set_lease_id( + LeaseID::FromWorker(WorkerID::FromRandom(), lease_id_counter++).Binary()); raylet_client->RequestWorkerLease( - actor->GetCreationTaskSpecification().GetMessage(), + actor->GetLeaseSpecification().GetMessage(), actor->GetGrantOrReject(), [this, actor, node](const Status &status, const rpc::RequestWorkerLeaseReply &reply) { @@ -432,13 +436,13 @@ void GcsActorScheduler::HandleRequestWorkerLeaseCanceled( const NodeID &node_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - RAY_LOG(INFO) - << "The lease worker request from node " << node_id << " for actor " - << actor->GetActorID() << "(" - << actor->GetCreationTaskSpecification().FunctionDescriptor()->CallString() << ")" - << " has been canceled, job id = " << actor->GetActorID().JobId() - << ", cancel type: " - << rpc::RequestWorkerLeaseReply::SchedulingFailureType_Name(failure_type); + RAY_LOG(INFO) << "The lease worker request from node " << node_id << " for actor " + << actor->GetActorID() << "(" + << actor->GetLeaseSpecification().FunctionDescriptor()->CallString() + << ")" + << " has been canceled, job id = " << actor->GetActorID().JobId() + << ", cancel type: " + << rpc::RequestWorkerLeaseReply::SchedulingFailureType_Name(failure_type); schedule_failure_handler_(actor, failure_type, scheduling_failure_message); } @@ -663,13 +667,13 @@ void GcsActorScheduler::HandleWorkerLeaseRejectedReply( void GcsActorScheduler::OnActorDestruction(std::shared_ptr actor) { if (!actor->GetAcquiredResources().IsEmpty()) { ReturnActorAcquiredResources(actor); - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } } void GcsActorScheduler::ReturnActorAcquiredResources(std::shared_ptr actor) { auto &cluster_resource_manager = - cluster_task_manager_.GetClusterResourceScheduler().GetClusterResourceManager(); + cluster_lease_manager_.GetClusterResourceScheduler().GetClusterResourceManager(); cluster_resource_manager.AddNodeAvailableResources( scheduling::NodeID(actor->GetNodeID().Binary()), actor->GetAcquiredResources().GetResourceSet()); @@ -677,13 +681,13 @@ void GcsActorScheduler::ReturnActorAcquiredResources(std::shared_ptr a } size_t GcsActorScheduler::GetPendingActorsCount() const { - return cluster_task_manager_.GetInfeasibleQueueSize() + - cluster_task_manager_.GetPendingQueueSize(); + return cluster_lease_manager_.GetInfeasibleQueueSize() + + cluster_lease_manager_.GetPendingQueueSize(); } bool GcsActorScheduler::CancelInFlightActorScheduling( const std::shared_ptr &actor) { - return cluster_task_manager_.CancelTask(actor->GetCreationTaskSpecification().TaskId()); + return cluster_lease_manager_.CancelLease(actor->GetLeaseSpecification().LeaseId()); } } // namespace gcs diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index 218bf9f3b035..582957e99445 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -30,7 +30,7 @@ #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" @@ -39,7 +39,7 @@ #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { -using raylet::ClusterTaskManager; +using raylet::ClusterLeaseManager; namespace gcs { using GcsActorSchedulerFailureCallback = @@ -73,7 +73,7 @@ class GcsActorSchedulerInterface { /// \param actor_id ID of an actor. virtual void CancelOnLeasing(const NodeID &node_id, const ActorID &actor_id, - const TaskID &task_id) = 0; + const LeaseID &lease_id) = 0; /// Cancel the actor that is being scheduled to the specified worker. /// @@ -118,7 +118,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// \param io_context The main event loop. /// \param gcs_actor_table Used to flush actor info to storage. /// \param gcs_node_manager The node manager which is used when scheduling. - /// \param cluster_task_manager The task manager that queues and schedules actor. + /// \param cluster_lease_manager The task manager that queues and schedules actor. /// creation tasks. /// \param schedule_failure_handler Invoked when there are no available /// nodes to schedule actors. @@ -131,7 +131,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { instrumented_io_context &io_context, GcsActorTable &gcs_actor_table, const GcsNodeManager &gcs_node_manager, - ClusterTaskManager &cluster_task_manager_, + ClusterLeaseManager &cluster_lease_manager_, GcsActorSchedulerFailureCallback schedule_failure_handler, GcsActorSchedulerSuccessCallback schedule_success_handler, rpc::RayletClientPool &raylet_client_pool, @@ -143,7 +143,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// Schedule the specified actor. /// If there is no available nodes then the actor would be queued in the - /// `cluster_task_manager_`. + /// `cluster_lease_manager_`. /// /// \param actor to be scheduled. void Schedule(std::shared_ptr actor) override; @@ -169,7 +169,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// \param actor_id ID of an actor. void CancelOnLeasing(const NodeID &node_id, const ActorID &actor_id, - const TaskID &task_id) override; + const LeaseID &lease_id) override; /// Cancel the actor that is being scheduled to the specified worker. /// @@ -379,8 +379,8 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { node_to_workers_when_creating_; /// Reference of GcsNodeManager. const GcsNodeManager &gcs_node_manager_; - /// The cluster task manager. - ClusterTaskManager &cluster_task_manager_; + /// The cluster lease manager. + ClusterLeaseManager &cluster_lease_manager_; /// The handler to handle the scheduling failures. GcsActorSchedulerFailureCallback schedule_failure_handler_; /// The handler to handle the successful scheduling. diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 6fc73a7ff351..5ad9d09c719d 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -617,10 +617,10 @@ void GcsAutoscalerStateManager::CancelInfeasibleRequests() const { RAY_LOG(WARNING) << "Canceling infeasible requests on node " << node_id << " with infeasible_shapes=" << resource_shapes_str; - raylet_client->CancelTasksWithResourceShapes( + raylet_client->CancelLeasesWithResourceShapes( infeasible_shapes, [node_id](const Status &status, - const rpc::CancelTasksWithResourceShapesReply &) { + const rpc::CancelLeasesWithResourceShapesReply &) { if (status.ok()) { RAY_LOG(INFO) << "Infeasible tasks cancelled on node " << node_id; } else { diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_server/gcs_resource_manager.cc index e73f834bf816..0dca317fda20 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.cc @@ -29,12 +29,12 @@ GcsResourceManager::GcsResourceManager(instrumented_io_context &io_context, ClusterResourceManager &cluster_resource_manager, GcsNodeManager &gcs_node_manager, NodeID local_node_id, - raylet::ClusterTaskManager *cluster_task_manager) + raylet::ClusterLeaseManager *cluster_lease_manager) : io_context_(io_context), cluster_resource_manager_(cluster_resource_manager), gcs_node_manager_(gcs_node_manager), local_node_id_(std::move(local_node_id)), - cluster_task_manager_(cluster_task_manager) {} + cluster_lease_manager_(cluster_lease_manager) {} void GcsResourceManager::ConsumeSyncMessage( std::shared_ptr message) { @@ -200,10 +200,10 @@ void GcsResourceManager::HandleGetAllResourceUsage( batch.add_batch()->CopyFrom(usage.second); } - if (cluster_task_manager_ != nullptr) { + if (cluster_lease_manager_ != nullptr) { // Fill the gcs info when gcs actor scheduler is enabled. rpc::ResourcesData gcs_resources_data; - cluster_task_manager_->FillPendingActorInfo(gcs_resources_data); + cluster_lease_manager_->FillPendingActorInfo(gcs_resources_data); // Aggregate the load (pending actor info) of gcs. FillAggregateLoad(gcs_resources_data, &aggregate_load); // We only export gcs's pending info without adding the corresponding diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.h b/src/ray/gcs/gcs_server/gcs_resource_manager.h index 730141ff220f..96242cb291a7 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.h @@ -27,8 +27,8 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" -#include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/stats/metric_defs.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/ray_syncer.pb.h" @@ -58,11 +58,12 @@ class GcsResourceManager : public rpc::NodeResourceInfoGcsServiceHandler, public syncer::ReceiverInterface { public: /// Create a GcsResourceManager. - explicit GcsResourceManager(instrumented_io_context &io_context, - ClusterResourceManager &cluster_resource_manager, - GcsNodeManager &gcs_node_manager, - NodeID local_node_id, - raylet::ClusterTaskManager *cluster_task_manager = nullptr); + explicit GcsResourceManager( + instrumented_io_context &io_context, + ClusterResourceManager &cluster_resource_manager, + GcsNodeManager &gcs_node_manager, + NodeID local_node_id, + raylet::ClusterLeaseManager *cluster_lease_manager = nullptr); virtual ~GcsResourceManager() = default; @@ -197,7 +198,7 @@ class GcsResourceManager : public rpc::NodeResourceInfoGcsServiceHandler, ClusterResourceManager &cluster_resource_manager_; GcsNodeManager &gcs_node_manager_; NodeID local_node_id_; - raylet::ClusterTaskManager *cluster_task_manager_; + raylet::ClusterLeaseManager *cluster_lease_manager_; /// Num of alive nodes in the cluster. size_t num_alive_nodes_ = 0; }; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 1cf6c2e8b9e8..3720f93847ff 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -237,7 +237,7 @@ void GcsServer::GetOrGenerateClusterId( void GcsServer::DoStart(const GcsInitData &gcs_init_data) { InitClusterResourceScheduler(); InitGcsNodeManager(gcs_init_data); - InitClusterTaskManager(); + InitClusterLeaseManager(); InitGcsResourceManager(gcs_init_data); InitGcsHealthCheckManager(gcs_init_data); InitRaySyncer(gcs_init_data); @@ -350,13 +350,13 @@ void GcsServer::InitGcsHealthCheckManager(const GcsInitData &gcs_init_data) { } void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { - RAY_CHECK(cluster_resource_scheduler_ && cluster_task_manager_); + RAY_CHECK(cluster_resource_scheduler_ && cluster_lease_manager_); gcs_resource_manager_ = std::make_unique( io_context_provider_.GetDefaultIOContext(), cluster_resource_scheduler_->GetClusterResourceManager(), *gcs_node_manager_, kGCSNodeID, - cluster_task_manager_.get()); + cluster_lease_manager_.get()); // Initialize by gcs tables data. gcs_resource_manager_->Initialize(gcs_init_data); @@ -422,9 +422,9 @@ void GcsServer::InitClusterResourceScheduler() { /*is_local_node_with_raylet=*/false); } -void GcsServer::InitClusterTaskManager() { +void GcsServer::InitClusterLeaseManager() { RAY_CHECK(cluster_resource_scheduler_); - cluster_task_manager_ = std::make_unique( + cluster_lease_manager_ = std::make_unique( kGCSNodeID, *cluster_resource_scheduler_, /*get_node_info=*/ @@ -433,7 +433,7 @@ void GcsServer::InitClusterTaskManager() { return node.has_value() ? node.value().get() : nullptr; }, /*announce_infeasible_task=*/nullptr, - /*local_task_manager=*/local_task_manager_); + /*local_lease_manager=*/local_lease_manager_); } void GcsServer::InitGcsJobManager(const GcsInitData &gcs_init_data) { @@ -473,12 +473,12 @@ void GcsServer::InitGcsActorManager(const GcsInitData &gcs_init_data) { gcs_actor_manager_->OnActorCreationSuccess(actor, reply); }; - RAY_CHECK(gcs_resource_manager_ && cluster_task_manager_); + RAY_CHECK(gcs_resource_manager_ && cluster_lease_manager_); scheduler = std::make_unique( io_context_provider_.GetDefaultIOContext(), gcs_table_storage_->ActorTable(), *gcs_node_manager_, - *cluster_task_manager_, + *cluster_lease_manager_, schedule_failure_handler, schedule_success_handler, raylet_client_pool_, @@ -772,7 +772,7 @@ void GcsServer::InstallEventListeners() { RAY_CHECK(channel != nullptr); gcs_healthcheck_manager_->AddNode(node_id, channel); } - cluster_task_manager_->ScheduleAndDispatchTasks(); + cluster_lease_manager_->ScheduleAndGrantLeases(); }); gcs_node_manager_->AddNodeRemovedListener( [this](const std::shared_ptr &node) { @@ -829,7 +829,7 @@ void GcsServer::InstallEventListeners() { // Because resources have been changed, we need to try to schedule the // pending placement groups and actors. gcs_placement_group_manager_->SchedulePendingPlacementGroups(); - cluster_task_manager_->ScheduleAndDispatchTasks(); + cluster_lease_manager_->ScheduleAndGrantLeases(); }, "GcsServer.SchedulePendingActors"); }); @@ -840,7 +840,7 @@ void GcsServer::InstallEventListeners() { // Because some placement group resources have been committed or deleted, we // need to try to schedule the pending placement groups and actors. gcs_placement_group_manager_->SchedulePendingPlacementGroups(); - cluster_task_manager_->ScheduleAndDispatchTasks(); + cluster_lease_manager_->ScheduleAndGrantLeases(); }, "GcsServer.SchedulePendingPGActors"); }); @@ -901,7 +901,7 @@ void GcsServer::PrintAsioStats() { } void GcsServer::TryGlobalGC() { - if (cluster_task_manager_->GetPendingQueueSize() == 0) { + if (cluster_lease_manager_->GetPendingQueueSize() == 0) { task_pending_schedule_detected_ = 0; return; } diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 25b3bdea7d9a..5a4ece5e4b21 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -37,8 +37,8 @@ #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet/scheduling/cluster_task_manager.h" #include "ray/rpc/client_call.h" #include "ray/rpc/gcs/gcs_rpc_server.h" #include "ray/rpc/metrics_agent_client.h" @@ -47,8 +47,8 @@ #include "ray/util/throttler.h" namespace ray { -using raylet::ClusterTaskManager; -using raylet::NoopLocalTaskManager; +using raylet::ClusterLeaseManager; +using raylet::NoopLocalLeaseManager; namespace gcs { @@ -149,8 +149,8 @@ class GcsServer { /// Initialize cluster resource scheduler. void InitClusterResourceScheduler(); - /// Initialize cluster task manager. - void InitClusterTaskManager(); + /// Initialize cluster lease manager. + void InitClusterLeaseManager(); /// Initialize gcs job manager. void InitGcsJobManager(const GcsInitData &gcs_init_data); @@ -235,13 +235,13 @@ class GcsServer { rpc::CoreWorkerClientPool worker_client_pool_; /// The cluster resource scheduler. std::shared_ptr cluster_resource_scheduler_; - /// Local task manager. - NoopLocalTaskManager local_task_manager_; + /// Local lease manager. + NoopLocalLeaseManager local_lease_manager_; /// The gcs table storage. std::unique_ptr gcs_table_storage_; - /// The cluster task manager. - std::unique_ptr cluster_task_manager_; - /// [gcs_resource_manager_] depends on [cluster_task_manager_]. + /// The cluster lease manager. + std::unique_ptr cluster_lease_manager_; + /// [gcs_resource_manager_] depends on [cluster_lease_manager_]. /// The gcs resource manager. std::unique_ptr gcs_resource_manager_; /// The autoscaler state manager. diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index 735acc7c9bbd..1dc0fff9e892 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -74,7 +74,7 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { MOCK_METHOD3(CancelOnLeasing, void(const NodeID &node_id, const ActorID &actor_id, - const TaskID &task_id)); + const LeaseID &lease_id)); std::vector> actors; }; diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 8efa1aa22544..8dca97d5ad0c 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -71,7 +71,7 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { MOCK_METHOD3(CancelOnLeasing, void(const NodeID &node_id, const ActorID &actor_id, - const TaskID &task_id)); + const LeaseID &lease_id)); std::vector> actors; }; @@ -924,9 +924,8 @@ TEST_F(GcsActorManagerTest, TestRaceConditionCancelLease) { address.set_worker_id(worker_id.Binary()); actor->UpdateAddress(address); const auto &actor_id = actor->GetActorID(); - const auto &task_id = TaskID::FromBinary( - registered_actor->GetCreationTaskSpecification().GetMessage().task_id()); - EXPECT_CALL(*mock_actor_scheduler_, CancelOnLeasing(node_id, actor_id, task_id)); + // LeaseID is randomly generated, so we can't check for a specific lease ID. + EXPECT_CALL(*mock_actor_scheduler_, CancelOnLeasing(node_id, actor_id, _)); gcs_actor_manager_->OnWorkerDead(owner_node_id, owner_worker_id); io_service_.run_one(); ASSERT_TRUE(actor->GetActorTableData().death_cause().has_actor_died_error_context()); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index c5650fcf9671..70e1003cfeae 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -56,8 +56,8 @@ class GcsActorSchedulerMockTest : public Test { /*is_node_available_fn=*/ [](auto) { return true; }, /*is_local_node_with_raylet=*/false); - local_task_manager_ = std::make_unique(); - cluster_task_manager = std::make_unique( + local_lease_manager_ = std::make_unique(); + cluster_lease_manager = std::make_unique( local_node_id, *cluster_resource_scheduler, /*get_node_info=*/ @@ -65,8 +65,8 @@ class GcsActorSchedulerMockTest : public Test { auto node = gcs_node_manager->GetAliveNode(nid); return node.has_value() ? node.value().get() : nullptr; }, - /*announce_infeasible_task=*/nullptr, - /*local_task_manager=*/*local_task_manager_); + /*announce_infeasible_lease=*/nullptr, + *local_lease_manager_); counter.reset( new CounterMap>()); worker_client_pool_ = std::make_unique( @@ -75,7 +75,7 @@ class GcsActorSchedulerMockTest : public Test { io_context, *actor_table, *gcs_node_manager, - *cluster_task_manager, + *cluster_lease_manager, [this](auto a, auto b, auto c) { schedule_failure_handler(a); }, [this](auto a, const rpc::PushTaskReply) { schedule_success_handler(a); }, *client_pool, @@ -93,8 +93,8 @@ class GcsActorSchedulerMockTest : public Test { std::shared_ptr store_client; std::unique_ptr actor_table; std::unique_ptr gcs_node_manager; - std::unique_ptr local_task_manager_; - std::unique_ptr cluster_task_manager; + std::unique_ptr local_lease_manager_; + std::unique_ptr cluster_lease_manager; std::unique_ptr actor_scheduler; std::shared_ptr core_worker_client; std::unique_ptr worker_client_pool_; @@ -121,7 +121,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak1) { actor_data.set_actor_id(actor_id.Binary()); auto actor = std::make_shared(actor_data, rpc::TaskSpec(), counter); rpc::ClientCallback cb; - EXPECT_CALL(*raylet_client, RequestWorkerLease(An(), _, _, _, _)) + EXPECT_CALL(*raylet_client, + RequestWorkerLease(An(), _, _, _, _)) .WillOnce(testing::SaveArg<2>(&cb)); // Ensure actor is killed EXPECT_CALL(*core_worker_client, KillActor(_, _)); @@ -138,8 +139,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { // Ensure worker is not leak in the following case: // 1. Actor is in pending creation // 2. Gcs push creation task to run in worker - // 3. Cancel the task - // 4. Task creating reply received + // 3. Cancel the lease + // 4. Lease creating reply received // We'd like to test the worker got released eventually. // Worker is released with actor killing auto actor_id = ActorID::FromHex("f4ce02420592ca68c1738a0d01000000"); @@ -150,7 +151,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { rpc::ClientCallback request_worker_lease_cb; // Ensure actor is killed EXPECT_CALL(*core_worker_client, KillActor(_, _)); - EXPECT_CALL(*raylet_client, RequestWorkerLease(An(), _, _, _, _)) + EXPECT_CALL(*raylet_client, + RequestWorkerLease(An(), _, _, _, _)) .WillOnce(testing::SaveArg<2>(&request_worker_lease_cb)); // Postable is not default constructable, so we use a unique_ptr to hold one. diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 0a6fd64244f4..049b7faa42c3 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -35,7 +35,7 @@ #include "ray/util/counter_map.h" namespace ray { -using raylet::NoopLocalTaskManager; +using raylet::NoopLocalLeaseManager; namespace gcs { class MockedGcsActorScheduler : public gcs::GcsActorScheduler { @@ -111,8 +111,8 @@ class GcsActorSchedulerTest : public ::testing::Test { /*is_local_node_with_raylet=*/false); counter.reset( new CounterMap>()); - local_task_manager_ = std::make_unique(); - cluster_task_manager_ = std::make_unique( + local_lease_manager_ = std::make_unique(); + cluster_lease_manager_ = std::make_unique( local_node_id_, *cluster_resource_scheduler_, /*get_node_info=*/ @@ -121,7 +121,7 @@ class GcsActorSchedulerTest : public ::testing::Test { return node.has_value() ? node.value().get() : nullptr; }, /*announce_infeasible_task=*/nullptr, - /*local_task_manager=*/*local_task_manager_); + /*local_lease_manager=*/*local_lease_manager_); auto gcs_resource_manager = std::make_shared( io_context_->GetIoService(), cluster_resource_scheduler_->GetClusterResourceManager(), @@ -133,7 +133,7 @@ class GcsActorSchedulerTest : public ::testing::Test { io_context_->GetIoService(), *gcs_actor_table_, *gcs_node_manager_, - *cluster_task_manager_, + *cluster_lease_manager_, /*schedule_failure_handler=*/ [this](std::shared_ptr actor, const rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, @@ -210,9 +210,9 @@ class GcsActorSchedulerTest : public ::testing::Test { std::shared_ptr worker_client_; std::unique_ptr worker_client_pool_; std::shared_ptr gcs_node_manager_; - std::unique_ptr local_task_manager_; + std::unique_ptr local_lease_manager_; std::unique_ptr cluster_resource_scheduler_; - std::shared_ptr cluster_task_manager_; + std::shared_ptr cluster_lease_manager_; std::shared_ptr gcs_actor_scheduler_; std::shared_ptr>> counter; @@ -440,8 +440,8 @@ TEST_F(GcsActorSchedulerTest, TestLeasingCancelledWhenLeasing) { ASSERT_EQ(1, raylet_client_->callbacks.size()); // Cancel the lease request. - const auto &task_id = TaskID::FromBinary(create_actor_request.task_spec().task_id()); - gcs_actor_scheduler_->CancelOnLeasing(node_id, actor->GetActorID(), task_id); + gcs_actor_scheduler_->CancelOnLeasing( + node_id, actor->GetActorID(), actor->GetLeaseSpecification().LeaseId()); ASSERT_EQ(1, raylet_client_->num_workers_requested); ASSERT_EQ(1, raylet_client_->callbacks.size()); @@ -726,7 +726,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestScheduleFailedWithZeroNodeByG // are no available nodes. ASSERT_EQ(raylet_client_->num_workers_requested, 0); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(1, cluster_task_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(1, cluster_lease_manager_->GetInfeasibleQueueSize()); ASSERT_TRUE(actor->GetNodeID().IsNil()); } @@ -748,7 +748,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNotEnoughClusterResources) { // are not enough cluster resources. ASSERT_EQ(raylet_client_->num_workers_requested, 0); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(1, cluster_task_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(1, cluster_lease_manager_->GetInfeasibleQueueSize()); ASSERT_TRUE(actor->GetNodeID().IsNil()); } @@ -761,7 +761,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestScheduleAndDestroyOneActor) { scheduling::NodeID scheduling_node_id(node->node_id()); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); const auto &cluster_resource_manager = - cluster_task_manager_->GetClusterResourceScheduler().GetClusterResourceManager(); + cluster_lease_manager_->GetClusterResourceScheduler().GetClusterResourceManager(); auto resource_view_before_scheduling = cluster_resource_manager.GetResourceView(); ASSERT_TRUE(resource_view_before_scheduling.contains(scheduling_node_id)); @@ -789,8 +789,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestScheduleAndDestroyOneActor) { // Reply the actor creation request, then the actor should be scheduled successfully. ASSERT_TRUE(worker_client_->ReplyPushTask()); ASSERT_EQ(0, worker_client_->GetNumCallbacks()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); ASSERT_EQ(1, success_actors_.size()); ASSERT_EQ(actor, success_actors_.front()); ASSERT_EQ(actor->GetNodeID(), node_id); @@ -928,8 +928,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestScheduleRetryWhenLeasingByGcs // Reply the actor creation request, then the actor should be scheduled successfully. ASSERT_TRUE(worker_client_->ReplyPushTask()); ASSERT_EQ(0, worker_client_->GetNumCallbacks()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); ASSERT_EQ(1, success_actors_.size()); ASSERT_EQ(actor, success_actors_.front()); ASSERT_EQ(actor->GetNodeID(), node_id); @@ -975,8 +975,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestScheduleRetryWhenCreatingByGc // Reply the actor creation request, then the actor should be scheduled successfully. ASSERT_TRUE(worker_client_->ReplyPushTask()); ASSERT_EQ(0, worker_client_->GetNumCallbacks()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); ASSERT_EQ(1, success_actors_.size()); ASSERT_EQ(actor, success_actors_.front()); ASSERT_EQ(actor->GetNodeID(), node_id); @@ -1024,8 +1024,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNodeFailedWhenLeasingByGcs) { ASSERT_EQ(0, gcs_actor_scheduler_->num_retry_leasing_count_); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); } TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestLeasingCancelledWhenLeasingByGcs) { @@ -1048,8 +1048,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestLeasingCancelledWhenLeasingBy ASSERT_EQ(1, raylet_client_->callbacks.size()); // Cancel the lease request. - const auto &task_id = actor->GetCreationTaskSpecification().TaskId(); - gcs_actor_scheduler_->CancelOnLeasing(node_id, actor->GetActorID(), task_id); + gcs_actor_scheduler_->CancelOnLeasing( + node_id, actor->GetActorID(), actor->GetLeaseSpecification().LeaseId()); ASSERT_EQ(1, raylet_client_->num_workers_requested); ASSERT_EQ(1, raylet_client_->callbacks.size()); @@ -1064,8 +1064,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestLeasingCancelledWhenLeasingBy ASSERT_EQ(0, gcs_actor_scheduler_->num_retry_leasing_count_); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); } TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNodeFailedWhenCreatingByGcs) { @@ -1113,8 +1113,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNodeFailedWhenCreatingByGcs) ASSERT_EQ(0, gcs_actor_scheduler_->num_retry_creating_count_); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); } TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestWorkerFailedWhenCreatingByGcs) { @@ -1158,8 +1158,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestWorkerFailedWhenCreatingByGcs ASSERT_EQ(0, gcs_actor_scheduler_->num_retry_creating_count_); ASSERT_EQ(0, success_actors_.size()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); } TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestRescheduleByGcs) { @@ -1213,8 +1213,8 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestRescheduleByGcs) { ASSERT_TRUE(worker_client_->ReplyPushTask()); ASSERT_EQ(0, worker_client_->GetNumCallbacks()); - ASSERT_EQ(0, cluster_task_manager_->GetInfeasibleQueueSize()); - ASSERT_EQ(0, cluster_task_manager_->GetPendingQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetInfeasibleQueueSize()); + ASSERT_EQ(0, cluster_lease_manager_->GetPendingQueueSize()); ASSERT_EQ(2, success_actors_.size()); } diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h new file mode 100644 index 000000000000..839bbddd31d3 --- /dev/null +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -0,0 +1,386 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include +#include + +#include "absl/base/thread_annotations.h" +#include "absl/synchronization/mutex.h" +#include "fakes/ray/rpc/raylet/raylet_client.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/lease/lease.h" +#include "ray/common/task/task_util.h" +#include "ray/common/test_util.h" +#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/store_client/in_memory_store_client.h" + +namespace ray { + +struct GcsServerMocker { + class MockWorkerClient : public rpc::CoreWorkerClientInterface { + public: + void PushNormalTask( + std::unique_ptr request, + const rpc::ClientCallback &callback) override { + absl::MutexLock lock(&mutex_); + callbacks_.push_back(callback); + } + + bool ReplyPushTask(Status status = Status::OK(), bool exit = false) { + rpc::ClientCallback callback = nullptr; + { + absl::MutexLock lock(&mutex_); + if (callbacks_.size() == 0) { + return false; + } + callback = callbacks_.front(); + callbacks_.pop_front(); + } + // call the callback without the lock to avoid deadlock. + auto reply = rpc::PushTaskReply(); + if (exit) { + reply.set_worker_exiting(true); + } + callback(status, std::move(reply)); + return true; + } + + size_t GetNumCallbacks() { + absl::MutexLock lock(&mutex_); + return callbacks_.size(); + } + + std::list> callbacks_ ABSL_GUARDED_BY(mutex_); + absl::Mutex mutex_; + }; + + class MockRayletClient : public FakeRayletClient { + public: + ray::Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { + if (disconnect_worker) { + num_workers_disconnected++; + } else { + num_workers_returned++; + } + return Status::OK(); + } + + void GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) + override { + ray::rpc::GetWorkerFailureCauseReply reply; + callback(Status::OK(), std::move(reply)); + num_get_task_failure_causes += 1; + } + + void RequestWorkerLease( + const rpc::LeaseSpec &spec, + bool grant_or_reject, + const rpc::ClientCallback &callback, + const int64_t backlog_size, + const bool is_selected_based_on_locality) override { + num_workers_requested += 1; + callbacks.push_back(callback); + } + + void PrestartWorkers( + const rpc::PrestartWorkersRequest &request, + const rpc::ClientCallback &callback) override { + RAY_LOG(FATAL) << "Not implemented"; + } + + void ReleaseUnusedActorWorkers( + const std::vector &workers_in_use, + const rpc::ClientCallback &callback) + override { + num_release_unused_workers += 1; + release_callbacks.push_back(callback); + } + + void CancelWorkerLease( + const LeaseID &lease_id, + const rpc::ClientCallback &callback) override { + num_leases_canceled += 1; + cancel_callbacks.push_back(callback); + } + + bool GrantWorkerLease() { + return GrantWorkerLease("", 0, WorkerID::FromRandom(), node_id_, NodeID::Nil()); + } + + bool GrantWorkerLease(const std::string &address, + int port, + const WorkerID &worker_id, + const NodeID &node_id, + const NodeID &retry_at_node_id, + Status status = Status::OK(), + bool rejected = false) { + rpc::RequestWorkerLeaseReply reply; + if (!retry_at_node_id.IsNil()) { + reply.mutable_retry_at_raylet_address()->set_ip_address(address); + reply.mutable_retry_at_raylet_address()->set_port(port); + reply.mutable_retry_at_raylet_address()->set_node_id(retry_at_node_id.Binary()); + } else { + reply.mutable_worker_address()->set_ip_address(address); + reply.mutable_worker_address()->set_port(port); + reply.mutable_worker_address()->set_node_id(node_id.Binary()); + reply.mutable_worker_address()->set_worker_id(worker_id.Binary()); + } + if (rejected) { + reply.set_rejected(true); + auto resources_data = reply.mutable_resources_data(); + resources_data->set_node_id(node_id.Binary()); + resources_data->set_resources_normal_task_changed(true); + auto &normal_task_map = *(resources_data->mutable_resources_normal_task()); + normal_task_map[kMemory_ResourceLabel] = + static_cast(std::numeric_limits::max()); + resources_data->set_resources_normal_task_timestamp(absl::GetCurrentTimeNanos()); + } + + if (callbacks.size() == 0) { + return false; + } else { + auto callback = callbacks.front(); + callback(status, std::move(reply)); + callbacks.pop_front(); + return true; + } + } + + bool ReplyCancelWorkerLease(bool success = true) { + rpc::CancelWorkerLeaseReply reply; + reply.set_success(success); + if (cancel_callbacks.size() == 0) { + return false; + } else { + auto callback = cancel_callbacks.front(); + callback(Status::OK(), std::move(reply)); + cancel_callbacks.pop_front(); + return true; + } + } + + bool ReplyReleaseUnusedActorWorkers() { + rpc::ReleaseUnusedActorWorkersReply reply; + if (release_callbacks.size() == 0) { + return false; + } else { + auto callback = release_callbacks.front(); + callback(Status::OK(), std::move(reply)); + release_callbacks.pop_front(); + return true; + } + } + + bool ReplyDrainRaylet() { + if (drain_raylet_callbacks.size() == 0) { + return false; + } else { + rpc::DrainRayletReply reply; + reply.set_is_accepted(true); + auto callback = drain_raylet_callbacks.front(); + callback(Status::OK(), std::move(reply)); + drain_raylet_callbacks.pop_front(); + return true; + } + } + + void PrepareBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback &callback) + override { + num_lease_requested += 1; + lease_callbacks.push_back(callback); + } + + void CommitBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback &callback) + override { + num_commit_requested += 1; + commit_callbacks.push_back(callback); + } + + void CancelResourceReserve( + const BundleSpecification &bundle_spec, + const ray::rpc::ClientCallback &callback) + override { + num_return_requested += 1; + return_callbacks.push_back(callback); + } + + void ReleaseUnusedBundles( + const std::vector &bundles_in_use, + const rpc::ClientCallback &callback) override { + ++num_release_unused_bundles_requested; + } + + bool GrantPrepareBundleResources(bool success = true, + const Status &status = Status::OK()) { + rpc::PrepareBundleResourcesReply reply; + reply.set_success(success); + if (lease_callbacks.size() == 0) { + return false; + } else { + auto callback = lease_callbacks.front(); + callback(status, std::move(reply)); + lease_callbacks.pop_front(); + return true; + } + } + + bool GrantCommitBundleResources(const Status &status = Status::OK()) { + rpc::CommitBundleResourcesReply reply; + if (commit_callbacks.size() == 0) { + return false; + } else { + auto callback = commit_callbacks.front(); + callback(status, std::move(reply)); + commit_callbacks.pop_front(); + return true; + } + } + + bool GrantCancelResourceReserve(bool success = true) { + Status status = Status::OK(); + rpc::CancelResourceReserveReply reply; + if (return_callbacks.size() == 0) { + return false; + } else { + auto callback = return_callbacks.front(); + callback(status, std::move(reply)); + return_callbacks.pop_front(); + return true; + } + } + + void DrainRaylet( + const rpc::autoscaler::DrainNodeReason &reason, + const std::string &reason_message, + int64_t deadline_timestamp_ms, + const rpc::ClientCallback &callback) override { + rpc::DrainRayletReply reply; + reply.set_is_accepted(true); + drain_raylet_callbacks.push_back(callback); + }; + + ~MockRayletClient() {} + + int num_workers_requested = 0; + int num_workers_returned = 0; + int num_workers_disconnected = 0; + int num_leases_canceled = 0; + int num_release_unused_workers = 0; + int num_get_task_failure_causes = 0; + NodeID node_id_ = NodeID::FromRandom(); + std::list> drain_raylet_callbacks = {}; + std::list> callbacks = {}; + std::list> cancel_callbacks = {}; + std::list> + release_callbacks = {}; + int num_lease_requested = 0; + int num_return_requested = 0; + int num_commit_requested = 0; + + int num_release_unused_bundles_requested = 0; + std::list> lease_callbacks = {}; + std::list> commit_callbacks = {}; + std::list> return_callbacks = {}; + }; + + class MockedGcsActorScheduler : public gcs::GcsActorScheduler { + public: + using gcs::GcsActorScheduler::GcsActorScheduler; + + void TryLeaseWorkerFromNodeAgain(std::shared_ptr actor, + std::shared_ptr node) { + DoRetryLeasingWorkerFromNode(std::move(actor), std::move(node)); + } + + protected: + void RetryLeasingWorkerFromNode(std::shared_ptr actor, + std::shared_ptr node) override { + ++num_retry_leasing_count_; + if (num_retry_leasing_count_ <= 1) { + DoRetryLeasingWorkerFromNode(actor, node); + } + } + + void RetryCreatingActorOnWorker(std::shared_ptr actor, + std::shared_ptr worker) override { + ++num_retry_creating_count_; + DoRetryCreatingActorOnWorker(actor, worker); + } + + public: + int num_retry_leasing_count_ = 0; + int num_retry_creating_count_ = 0; + }; + + class MockedGcsPlacementGroupScheduler : public gcs::GcsPlacementGroupScheduler { + public: + using gcs::GcsPlacementGroupScheduler::GcsPlacementGroupScheduler; + + size_t GetWaitingRemovedBundlesSize() { return waiting_removed_bundles_.size(); } + + using gcs::GcsPlacementGroupScheduler::ScheduleUnplacedBundles; + // Extra conveinence overload for the mock tests to keep using the old interface. + void ScheduleUnplacedBundles( + const std::shared_ptr &placement_group, + gcs::PGSchedulingFailureCallback failure_callback, + gcs::PGSchedulingSuccessfulCallback success_callback) { + ScheduleUnplacedBundles( + gcs::SchedulePgRequest{placement_group, failure_callback, success_callback}); + }; + + protected: + friend class GcsPlacementGroupSchedulerTest; + FRIEND_TEST(GcsPlacementGroupSchedulerTest, TestCheckingWildcardResource); + }; + class MockedGcsActorTable : public gcs::GcsActorTable { + public: + // The store_client and io_context args are NOT used. + explicit MockedGcsActorTable(std::shared_ptr store_client) + : GcsActorTable(store_client) {} + + Status Put(const ActorID &key, + const rpc::ActorTableData &value, + Postable callback) override { + auto status = Status::OK(); + std::move(callback).Post("FakeGcsActorTable.Put", status); + return status; + } + + private: + std::shared_ptr store_client_ = + std::make_shared(); + }; +}; + +} // namespace ray diff --git a/src/ray/gcs/tests/gcs_test_util.h b/src/ray/gcs/tests/gcs_test_util.h index d820eae87261..cbe7486a04c2 100644 --- a/src/ray/gcs/tests/gcs_test_util.h +++ b/src/ray/gcs/tests/gcs_test_util.h @@ -26,7 +26,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_spec.h" #include "ray/common/placement_group.h" -#include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" #include "ray/gcs/pb_util.h" diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 84d91cf599b9..410e6bfd5e05 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -456,6 +456,31 @@ message StreamingGeneratorReturnIdInfo { bool is_plasma_object = 2; } +message LeaseSpec { + bytes lease_id = 1; + bytes job_id = 2; + Address caller_address = 3; + TaskType type = 4; + bytes actor_id = 5; + bool is_detached_actor = 6; + bytes root_detached_actor_id = 7; + int64 max_actor_restarts = 8; + map required_resources = 9; + map required_placement_resources = 10; + SchedulingStrategy scheduling_strategy = 11; + map label_selector = 12; + int64 depth = 13; + RuntimeEnvInfo runtime_env_info = 14; + repeated ObjectReference dependencies = 15; + bytes parent_task_id = 16; + Language language = 17; + FunctionDescriptor function_descriptor = 18; + repeated string dynamic_worker_options = 19; + int32 max_retries = 20; + uint64 attempt_number = 21; + string task_name = 22; +} + /// The task specification encapsulates all immutable information about the /// task. message TaskSpec { diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index 0585ad27c087..624edac21496 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -22,10 +22,10 @@ import "src/ray/protobuf/autoscaler.proto"; import "src/ray/protobuf/public/runtime_environment.proto"; message WorkerBacklogReport { - // TaskSpec indicating the scheduling class. + // LeaseSpec indicating the scheduling class. // Cannot send scheduling class directly // since it's local to each process. - TaskSpec resource_spec = 1; + LeaseSpec lease_spec = 1; // Size of the backlog for the above scheduling class. int64 backlog_size = 2; } @@ -41,8 +41,8 @@ message ReportWorkerBacklogReply {} // Request a worker from the raylet with the specified resources. message RequestWorkerLeaseRequest { - // TaskSpec containing the requested resources. - TaskSpec resource_spec = 1; + // LeaseSpec containing the requested resources. + LeaseSpec lease_spec = 1; // Worker's backlog size for this spec's shape. int64 backlog_size = 2; // If it's true, either grant the lease if the task is @@ -144,10 +144,10 @@ message ResizeLocalResourceInstancesReply { } // Release a worker back to its raylet. -message ReturnWorkerRequest { +message ReturnWorkerLeaseRequest { // Port of the leased worker that we are now returning. int32 worker_port = 1; - // Unique id of the leased worker we are now returning. + // The worker id of the lease we are now returning. bytes worker_id = 2; // If true, there was some unrecoverable error and the raylet should // disconnect the worker. @@ -158,7 +158,7 @@ message ReturnWorkerRequest { string disconnect_worker_error_detail = 5; } -message ReturnWorkerReply {} +message ReturnWorkerLeaseReply {} message ReleaseUnusedActorWorkersRequest { repeated bytes worker_ids_in_use = 1; @@ -174,8 +174,8 @@ message ShutdownRayletRequest { message ShutdownRayletReply {} message CancelWorkerLeaseRequest { - // The task to cancel. - bytes task_id = 1; + // The lease to cancel. + bytes lease_id = 1; } message CancelWorkerLeaseReply { @@ -308,7 +308,7 @@ message GetResourceLoadReply { ResourcesData resources = 1; } -message CancelTasksWithResourceShapesRequest { +message CancelLeasesWithResourceShapesRequest { message ResourceShape { // A map from resource name to the quantity of that resource. This map represents // the resource request shape of a task. @@ -318,7 +318,7 @@ message CancelTasksWithResourceShapesRequest { repeated ResourceShape resource_shapes = 1; } -message CancelTasksWithResourceShapesReply { +message CancelLeasesWithResourceShapesReply { // Empty } @@ -326,11 +326,11 @@ message NotifyGCSRestartRequest {} message NotifyGCSRestartReply {} -message GetTaskFailureCauseRequest { - bytes task_id = 1; +message GetWorkerFailureCauseRequest { + bytes lease_id = 1; } -message GetTaskFailureCauseReply { +message GetWorkerFailureCauseReply { optional RayErrorInfo failure_cause = 1; bool fail_task_immediately = 2; } @@ -414,8 +414,8 @@ service NodeManagerService { // request. // Failure: This doesn't explicitly retry, only logs on failure, but autoscaler will // keep calling this so it will be retried at a layer above. - rpc CancelTasksWithResourceShapes(CancelTasksWithResourceShapesRequest) - returns (CancelTasksWithResourceShapesReply); + rpc CancelLeasesWithResourceShapes(CancelLeasesWithResourceShapesRequest) + returns (CancelLeasesWithResourceShapesReply); // Request a worker from the raylet. // Failure: Does retry if request to remote raylet fails. Just logs warning if request // to local raylet fails. @@ -430,7 +430,7 @@ service NodeManagerService { rpc ReportWorkerBacklog(ReportWorkerBacklogRequest) returns (ReportWorkerBacklogReply); // Release a worker back to its raylet. // Failure: TODO: Failure behavior needs to be fixed. - rpc ReturnWorker(ReturnWorkerRequest) returns (ReturnWorkerReply); + rpc ReturnWorkerLease(ReturnWorkerLeaseRequest) returns (ReturnWorkerLeaseReply); // This method is only used by GCS, and the purpose is to release leased workers // that may be leaked. When GCS restarts, it doesn't know which workers it has leased // in the previous lifecycle. In this case, GCS will send a list of worker ids that @@ -500,10 +500,11 @@ service NodeManagerService { // [State API] Get the all object information of the node. // Failure: State API user can retry. rpc GetObjectsInfo(GetObjectsInfoRequest) returns (GetObjectsInfoReply); - // Gets the task execution result. May contain a result if - // the task completed in error. + // Gets the worker failure cause. May contain a result if + // the worker executing the task failed. // Failure: Gives user error message on failure. - rpc GetTaskFailureCause(GetTaskFailureCauseRequest) returns (GetTaskFailureCauseReply); + rpc GetWorkerFailureCause(GetWorkerFailureCauseRequest) + returns (GetWorkerFailureCauseReply); // Failure: TODO: Handle network failure for cgraphs. rpc RegisterMutableObject(RegisterMutableObjectRequest) returns (RegisterMutableObjectReply); diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 371381a182bb..aaabeefac51d 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -18,13 +18,13 @@ ray_cc_library( ) ray_cc_library( - name = "dependency_manager", - srcs = ["dependency_manager.cc"], - hdrs = ["dependency_manager.h"], + name = "lease_dependency_manager", + srcs = ["lease_dependency_manager.cc"], + hdrs = ["lease_dependency_manager.h"], visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/object_manager", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", @@ -34,19 +34,19 @@ ray_cc_library( # TODO(edoakes): looks like this belongs under scheduling/... ray_cc_library( - name = "local_task_manager", - srcs = ["local_task_manager.cc"], - hdrs = ["local_task_manager.h"], + name = "local_lease_manager", + srcs = ["local_lease_manager.cc"], + hdrs = ["local_lease_manager.h"], visibility = [":__subpackages__"], deps = [ - ":dependency_manager", + ":lease_dependency_manager", ":worker", ":worker_pool", + "//src/ray/common:lease", "//src/ray/common:ray_object", - "//src/ray/common:task_common", "//src/ray/object_manager:object_manager_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/raylet/scheduling:local_task_manager_interface", + "//src/ray/raylet/scheduling:local_lease_manager_interface", "//src/ray/raylet/scheduling:scheduler_internal", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -60,7 +60,6 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/util:container_util", @@ -86,7 +85,7 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/flatbuffers:node_manager_generated", "//src/ray/ipc:client_connection", "//src/ray/raylet/scheduling:cluster_resource_scheduler", @@ -107,10 +106,10 @@ ray_cc_library( ":runtime_env_agent_client", ":worker", "//src/ray/common:constants", + "//src/ray/common:lease", "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", - "//src/ray/common:task_common", "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", @@ -216,9 +215,9 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ ":agent_manager", - ":dependency_manager", + ":lease_dependency_manager", + ":local_lease_manager", ":local_object_manager_interface", - ":local_task_manager", ":placement_group_resource_manager", ":runtime_env_agent_client", ":wait_manager", @@ -226,6 +225,7 @@ ray_cc_library( ":worker_killing_policy", ":worker_pool", "//src/ray/common:buffer", + "//src/ray/common:lease", "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/flatbuffers:node_manager_generated", @@ -279,13 +279,13 @@ ray_cc_binary( ":local_object_manager_interface", ":raylet_lib", "//src/ray/common:asio", + "//src/ray/common:lease", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/common:task_common", "//src/ray/common/cgroup:cgroup_manager", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", - "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/rpc:metrics_agent_client", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", diff --git a/src/ray/raylet/dependency_manager.cc b/src/ray/raylet/lease_dependency_manager.cc similarity index 65% rename from src/ray/raylet/dependency_manager.cc rename to src/ray/raylet/lease_dependency_manager.cc index 359f399f5a95..1cf2b602f381 100644 --- a/src/ray/raylet/dependency_manager.cc +++ b/src/ray/raylet/lease_dependency_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet/dependency_manager.h" +#include "ray/raylet/lease_dependency_manager.h" #include #include @@ -23,12 +23,12 @@ namespace ray { namespace raylet { -bool DependencyManager::CheckObjectLocal(const ObjectID &object_id) const { +bool LeaseDependencyManager::CheckObjectLocal(const ObjectID &object_id) const { return local_objects_.count(object_id) == 1; } -bool DependencyManager::GetOwnerAddress(const ObjectID &object_id, - rpc::Address *owner_address) const { +bool LeaseDependencyManager::GetOwnerAddress(const ObjectID &object_id, + rpc::Address *owner_address) const { auto obj = required_objects_.find(object_id); if (obj == required_objects_.end()) { return false; @@ -38,8 +38,8 @@ bool DependencyManager::GetOwnerAddress(const ObjectID &object_id, return !owner_address->worker_id().empty(); } -void DependencyManager::RemoveObjectIfNotNeeded( - absl::flat_hash_map::iterator +void LeaseDependencyManager::RemoveObjectIfNotNeeded( + absl::flat_hash_map::iterator required_object_it) { const auto &object_id = required_object_it->first; if (required_object_it->second.Empty()) { @@ -53,9 +53,9 @@ void DependencyManager::RemoveObjectIfNotNeeded( } } -absl::flat_hash_map::iterator -DependencyManager::GetOrInsertRequiredObject(const ObjectID &object_id, - const rpc::ObjectReference &ref) { +absl::flat_hash_map::iterator +LeaseDependencyManager::GetOrInsertRequiredObject(const ObjectID &object_id, + const rpc::ObjectReference &ref) { auto it = required_objects_.find(object_id); if (it == required_objects_.end()) { it = required_objects_.emplace(object_id, ref).first; @@ -63,7 +63,7 @@ DependencyManager::GetOrInsertRequiredObject(const ObjectID &object_id, return it; } -void DependencyManager::StartOrUpdateWaitRequest( +void LeaseDependencyManager::StartOrUpdateWaitRequest( const WorkerID &worker_id, const std::vector &required_objects) { RAY_LOG(DEBUG) << "Starting wait request for worker " << worker_id; @@ -95,7 +95,7 @@ void DependencyManager::StartOrUpdateWaitRequest( } } -void DependencyManager::CancelWaitRequest(const WorkerID &worker_id) { +void LeaseDependencyManager::CancelWaitRequest(const WorkerID &worker_id) { RAY_LOG(DEBUG) << "Canceling wait request for worker " << worker_id; auto req_iter = wait_requests_.find(worker_id); if (req_iter == wait_requests_.end()) { @@ -112,7 +112,7 @@ void DependencyManager::CancelWaitRequest(const WorkerID &worker_id) { wait_requests_.erase(req_iter); } -void DependencyManager::StartOrUpdateGetRequest( +void LeaseDependencyManager::StartOrUpdateGetRequest( const WorkerID &worker_id, const std::vector &required_objects) { RAY_LOG(DEBUG) << "Starting get request for worker " << worker_id; @@ -150,7 +150,7 @@ void DependencyManager::StartOrUpdateGetRequest( } } -void DependencyManager::CancelGetRequest(const WorkerID &worker_id) { +void LeaseDependencyManager::CancelGetRequest(const WorkerID &worker_id) { RAY_LOG(DEBUG) << "Canceling get request for worker " << worker_id; auto req_iter = get_requests_.find(worker_id); if (req_iter == get_requests_.end()) { @@ -171,120 +171,121 @@ void DependencyManager::CancelGetRequest(const WorkerID &worker_id) { get_requests_.erase(req_iter); } -/// Request dependencies for a queued task. -bool DependencyManager::RequestTaskDependencies( - const TaskID &task_id, +/// Request dependencies for a queued lease. +bool LeaseDependencyManager::RequestLeaseDependencies( + const LeaseID &lease_id, const std::vector &required_objects, const TaskMetricsKey &task_key) { - RAY_LOG(DEBUG) << "Adding dependencies for task " << task_id + RAY_LOG(DEBUG) << "Adding dependencies for lease " << lease_id << ". Required objects length: " << required_objects.size(); const auto required_ids = ObjectRefsToIds(required_objects); absl::flat_hash_set deduped_ids(required_ids.begin(), required_ids.end()); - auto inserted = queued_task_requests_.emplace( - task_id, - std::make_unique( - std::move(deduped_ids), waiting_tasks_counter_, task_key)); - RAY_CHECK(inserted.second) << "Task depedencies can be requested only once per task. " - << task_id; - auto &task_entry = inserted.first->second; + auto inserted = queued_lease_requests_.emplace( + lease_id, + std::make_unique( + std::move(deduped_ids), waiting_leases_counter_, task_key)); + RAY_CHECK(inserted.second) << "Lease depedencies can be requested only once per lease. " + << lease_id; + auto &lease_entry = inserted.first->second; for (const auto &ref : required_objects) { const auto obj_id = ObjectRefToId(ref); - RAY_LOG(DEBUG) << "Task " << task_id << " blocked on object " << obj_id; + RAY_LOG(DEBUG).WithField(lease_id).WithField(obj_id) << "Lease blocked on object"; auto it = GetOrInsertRequiredObject(obj_id, ref); - it->second.dependent_tasks.insert(task_id); + it->second.dependent_leases.insert(lease_id); } - for (const auto &obj_id : task_entry->dependencies_) { + for (const auto &obj_id : lease_entry->dependencies_) { if (local_objects_.count(obj_id)) { - task_entry->DecrementMissingDependencies(); + lease_entry->DecrementMissingDependencies(); } } if (!required_objects.empty()) { - task_entry->pull_request_id_ = + lease_entry->pull_request_id_ = object_manager_.Pull(required_objects, BundlePriority::TASK_ARGS, task_key); - RAY_LOG(DEBUG) << "Started pull for dependencies of task " << task_id - << " request: " << task_entry->pull_request_id_; + RAY_LOG(DEBUG) << "Started pull for dependencies of lease " << lease_id + << " request: " << lease_entry->pull_request_id_; } - return task_entry->num_missing_dependencies_ == 0; + return lease_entry->num_missing_dependencies_ == 0; } -void DependencyManager::RemoveTaskDependencies(const TaskID &task_id) { - RAY_LOG(DEBUG) << "Removing dependencies for task " << task_id; - auto task_entry = queued_task_requests_.find(task_id); - RAY_CHECK(task_entry != queued_task_requests_.end()) +void LeaseDependencyManager::RemoveLeaseDependencies(const LeaseID &lease_id) { + RAY_LOG(DEBUG) << "Removing dependencies for lease " << lease_id; + auto lease_entry = queued_lease_requests_.find(lease_id); + RAY_CHECK(lease_entry != queued_lease_requests_.end()) << "Can't remove dependencies of tasks that are not queued."; - if (task_entry->second->pull_request_id_ > 0) { - RAY_LOG(DEBUG) << "Canceling pull for dependencies of task " << task_id - << " request: " << task_entry->second->pull_request_id_; - object_manager_.CancelPull(task_entry->second->pull_request_id_); + if (lease_entry->second->pull_request_id_ > 0) { + RAY_LOG(DEBUG) << "Canceling pull for dependencies of lease " << lease_id + << " request: " << lease_entry->second->pull_request_id_; + object_manager_.CancelPull(lease_entry->second->pull_request_id_); } - for (const auto &obj_id : task_entry->second->dependencies_) { + for (const auto &obj_id : lease_entry->second->dependencies_) { auto it = required_objects_.find(obj_id); RAY_CHECK(it != required_objects_.end()); - it->second.dependent_tasks.erase(task_id); + it->second.dependent_leases.erase(lease_id); RemoveObjectIfNotNeeded(it); } - queued_task_requests_.erase(task_entry); + queued_lease_requests_.erase(lease_entry); } -std::vector DependencyManager::HandleObjectMissing( +std::vector LeaseDependencyManager::HandleObjectMissing( const ray::ObjectID &object_id) { RAY_CHECK(local_objects_.erase(object_id)) << "Evicted object was not local " << object_id; - // Find any tasks that are dependent on the missing object. - std::vector waiting_task_ids; + // Find any leases that are dependent on the missing object. + std::vector waiting_lease_ids; auto object_entry = required_objects_.find(object_id); if (object_entry != required_objects_.end()) { - for (auto &dependent_task_id : object_entry->second.dependent_tasks) { - auto it = queued_task_requests_.find(dependent_task_id); - RAY_CHECK(it != queued_task_requests_.end()); - auto &task_entry = it->second; - // If the dependent task had all of its arguments ready, it was ready to + for (auto &dependent_lease_id : object_entry->second.dependent_leases) { + auto it = queued_lease_requests_.find(dependent_lease_id); + RAY_CHECK(it != queued_lease_requests_.end()); + auto &lease_entry = it->second; + // If the dependent lease had all of its arguments ready, it was ready to // run but must be switched to waiting since one of its arguments is now // missing. - if (task_entry->num_missing_dependencies_ == 0) { - waiting_task_ids.push_back(dependent_task_id); + if (lease_entry->num_missing_dependencies_ == 0) { + waiting_lease_ids.push_back(dependent_lease_id); // During normal execution we should be able to include the check - // RAY_CHECK(pending_tasks_.count(dependent_task_id) == 1); + // RAY_CHECK(pending_leases_.count(dependent_lease_id) == 1); // However, this invariant will not hold during unit test execution. } - task_entry->IncrementMissingDependencies(); + lease_entry->IncrementMissingDependencies(); } } - // Process callbacks for all of the tasks dependent on the object that are + // Process callbacks for all of the leases dependent on the object that are // now ready to run. - return waiting_task_ids; + return waiting_lease_ids; } -std::vector DependencyManager::HandleObjectLocal(const ray::ObjectID &object_id) { +std::vector LeaseDependencyManager::HandleObjectLocal( + const ray::ObjectID &object_id) { // Add the object to the table of locally available objects. auto inserted = local_objects_.insert(object_id); RAY_CHECK(inserted.second) << "Local object was already local " << object_id; - // Find all tasks and workers that depend on the newly available object. - std::vector ready_task_ids; + // Find all leases and workers that depend on the newly available object. + std::vector ready_lease_ids; auto object_entry = required_objects_.find(object_id); if (object_entry != required_objects_.end()) { - // Loop through all tasks that depend on the newly available object. - for (const auto &dependent_task_id : object_entry->second.dependent_tasks) { - auto it = queued_task_requests_.find(dependent_task_id); - RAY_CHECK(it != queued_task_requests_.end()); - auto &task_entry = it->second; - task_entry->DecrementMissingDependencies(); - // If the dependent task now has all of its arguments ready, it's ready + // Loop through all leases that depend on the newly available object. + for (const auto &dependent_lease_id : object_entry->second.dependent_leases) { + auto it = queued_lease_requests_.find(dependent_lease_id); + RAY_CHECK(it != queued_lease_requests_.end()); + auto &lease_entry = it->second; + lease_entry->DecrementMissingDependencies(); + // If the dependent lease now has all of its arguments ready, it's ready // to run. - if (task_entry->num_missing_dependencies_ == 0) { - ready_task_ids.push_back(dependent_task_id); + if (lease_entry->num_missing_dependencies_ == 0) { + ready_lease_ids.push_back(dependent_lease_id); } } @@ -310,29 +311,29 @@ std::vector DependencyManager::HandleObjectLocal(const ray::ObjectID &ob RemoveObjectIfNotNeeded(object_entry); } - return ready_task_ids; + return ready_lease_ids; } -bool DependencyManager::TaskDependenciesBlocked(const TaskID &task_id) const { - auto it = queued_task_requests_.find(task_id); - RAY_CHECK(it != queued_task_requests_.end()); +bool LeaseDependencyManager::LeaseDependenciesBlocked(const LeaseID &lease_id) const { + auto it = queued_lease_requests_.find(lease_id); + RAY_CHECK(it != queued_lease_requests_.end()); RAY_CHECK(it->second->pull_request_id_ != 0); return !object_manager_.PullRequestActiveOrWaitingForMetadata( it->second->pull_request_id_); } -std::string DependencyManager::DebugString() const { +std::string LeaseDependencyManager::DebugString() const { std::stringstream result; - result << "TaskDependencyManager:"; - result << "\n- task deps map size: " << queued_task_requests_.size(); + result << "LeaseDependencyManager:"; + result << "\n- lease deps map size: " << queued_lease_requests_.size(); result << "\n- get req map size: " << get_requests_.size(); result << "\n- wait req map size: " << wait_requests_.size(); result << "\n- local objects map size: " << local_objects_.size(); return result.str(); } -void DependencyManager::RecordMetrics() { - waiting_tasks_counter_.FlushOnChangeCallbacks(); +void LeaseDependencyManager::RecordMetrics() { + waiting_leases_counter_.FlushOnChangeCallbacks(); } } // namespace raylet diff --git a/src/ray/raylet/dependency_manager.h b/src/ray/raylet/lease_dependency_manager.h similarity index 73% rename from src/ray/raylet/dependency_manager.h rename to src/ray/raylet/lease_dependency_manager.h index 01ac2ec5ff53..7c051e4bbbfe 100644 --- a/src/ray/raylet/dependency_manager.h +++ b/src/ray/raylet/lease_dependency_manager.h @@ -24,7 +24,7 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/common_protocol.h" #include "ray/common/id.h" -#include "ray/common/task/task.h" +#include "ray/common/lease/lease.h" #include "ray/object_manager/object_manager.h" #include "ray/util/counter_map.h" @@ -32,36 +32,36 @@ namespace ray { namespace raylet { -/// Used for unit-testing the ClusterTaskManager, which requests dependencies -/// for queued tasks. -class TaskDependencyManagerInterface { +/// Used for unit-testing the ClusterLeaseManager, which requests dependencies +/// for queued leases. +class LeaseDependencyManagerInterface { public: - virtual bool RequestTaskDependencies( - const TaskID &task_id, + virtual bool RequestLeaseDependencies( + const LeaseID &lease_id, const std::vector &required_objects, - const TaskMetricsKey &task_key) = 0; - virtual void RemoveTaskDependencies(const TaskID &task_id) = 0; - virtual bool TaskDependenciesBlocked(const TaskID &task_id) const = 0; + const TaskMetricsKey &lease_key) = 0; + virtual void RemoveLeaseDependencies(const LeaseID &lease_id) = 0; + virtual bool LeaseDependenciesBlocked(const LeaseID &lease_id) const = 0; virtual bool CheckObjectLocal(const ObjectID &object_id) const = 0; - virtual ~TaskDependencyManagerInterface(){}; + virtual ~LeaseDependencyManagerInterface(){}; }; -/// \class DependencyManager +/// \class LeaseDependencyManager /// /// Responsible for managing object dependencies for local workers calling /// `ray.get` or `ray.wait` and arguments of queued tasks. The caller can -/// request object dependencies for a task or worker. The task manager will +/// request object dependencies for a lease or worker. The lease manager will /// determine which object dependencies are remote and will request that these /// objects be made available locally, either via the object manager or by /// storing an error if the object is lost. -class DependencyManager : public TaskDependencyManagerInterface { +class LeaseDependencyManager : public LeaseDependencyManagerInterface { public: - /// Create a task dependency manager. - explicit DependencyManager(ObjectManagerInterface &object_manager) + /// Create a lease dependency manager. + explicit LeaseDependencyManager(ObjectManagerInterface &object_manager) : object_manager_(object_manager) { - waiting_tasks_counter_.SetOnChangeCallback( + waiting_leases_counter_.SetOnChangeCallback( [this](std::pair key) mutable { - int64_t num_total = waiting_tasks_counter_.Get(key); + int64_t num_total = waiting_leases_counter_.Get(key); // Of the waiting tasks of this name, some fraction may be inactive (blocked on // object store memory availability). Get this breakdown by querying the pull // manager. @@ -141,54 +141,54 @@ class DependencyManager : public TaskDependencyManagerInterface { const std::vector &required_objects); /// Cancel a worker's `ray.get` request. We will no longer attempt to fetch - /// any objects that this worker requested previously, if no other task or + /// any objects that this worker requested previously, if no other lease or /// worker requires them. /// /// \param worker_id The ID of the worker whose `ray.get` request we should /// cancel. void CancelGetRequest(const WorkerID &worker_id); - /// Request dependencies for a queued task. This will attempt to make any - /// remote objects local until the caller cancels the task's dependencies. + /// Request dependencies for a queued lease. This will attempt to make any + /// remote objects local until the caller cancels the lease's dependencies. /// - /// This method can only be called once per task, until the task has been + /// This method can only be called once per lease, until the lease has been /// canceled. /// - /// \param task_id The task that requires the objects. - /// \param required_objects The objects required by the task. - bool RequestTaskDependencies(const TaskID &task_id, - const std::vector &required_objects, - const TaskMetricsKey &task_key); - - /// Cancel a task's dependencies. We will no longer attempt to fetch any - /// remote dependencies, if no other task or worker requires them. + /// \param lease_id The lease that requires the objects. + /// \param required_objects The objects required by the lease. + bool RequestLeaseDependencies(const LeaseID &lease_id, + const std::vector &required_objects, + const TaskMetricsKey &task_key); + + /// Cancel a lease's dependencies. We will no longer attempt to fetch any + /// remote dependencies, if no other lease or worker requires them. /// - /// This method can only be called on a task whose dependencies were added. + /// This method can only be called on a lease whose dependencies were added. /// - /// \param task_id The task that requires the objects. - /// \param required_objects The objects required by the task. - void RemoveTaskDependencies(const TaskID &task_id); + /// \param lease_id The lease that requires the objects. + /// \param required_objects The objects required by the lease. + void RemoveLeaseDependencies(const LeaseID &lease_id); /// Handle an object becoming locally available. /// /// \param object_id The object ID of the object to mark as locally /// available. - /// \return A list of task IDs. This contains all added tasks that now have + /// \return A list of lease IDs. This contains all granted leases that now have /// all of their dependencies fulfilled. - std::vector HandleObjectLocal(const ray::ObjectID &object_id); + std::vector HandleObjectLocal(const ray::ObjectID &object_id); /// Handle an object that is no longer locally available. /// /// \param object_id The object ID of the object that was previously locally /// available. - /// \return A list of task IDs. This contains all added tasks that previously + /// \return A list of lease IDs. This contains all granted leases that previously /// had all of their dependencies fulfilled, but are now missing this object /// dependency. - std::vector HandleObjectMissing(const ray::ObjectID &object_id); + std::vector HandleObjectMissing(const ray::ObjectID &object_id); - /// Check whether a requested task's dependencies are not being fetched to + /// Check whether a requested lease's dependencies are not being fetched to /// the local node due to lack of memory. - bool TaskDependenciesBlocked(const TaskID &task_id) const; + bool LeaseDependenciesBlocked(const LeaseID &lease_id) const; /// Returns debug string for class. /// @@ -200,13 +200,13 @@ class DependencyManager : public TaskDependencyManagerInterface { private: /// Metadata for an object that is needed by at least one executing worker - /// and/or one queued task. + /// and/or one queued lease. struct ObjectDependencies { explicit ObjectDependencies(const rpc::ObjectReference &ref) : owner_address(ref.owner_address()) {} - /// The tasks that depend on this object, either because the object is a task argument - /// or because the task called `ray.get` on the object. - std::unordered_set dependent_tasks; + /// The leases that depend on this object, either because the object is a lease + /// argument or because the lease of the lease called `ray.get` on the object. + std::unordered_set dependent_leases; /// The workers that depend on this object because they called `ray.get` on the /// object. std::unordered_set dependent_get_requests; @@ -220,16 +220,16 @@ class DependencyManager : public TaskDependencyManagerInterface { rpc::Address owner_address; bool Empty() const { - return dependent_tasks.empty() && dependent_get_requests.empty() && + return dependent_leases.empty() && dependent_get_requests.empty() && dependent_wait_requests.empty(); } }; /// A struct to represent the object dependencies of a task. - struct TaskDependencies { - TaskDependencies(const absl::flat_hash_set &deps, - CounterMap> &counter_map, - const TaskMetricsKey &task_key) + struct LeaseDependencies { + LeaseDependencies(const absl::flat_hash_set &deps, + CounterMap> &counter_map, + const TaskMetricsKey &task_key) : dependencies_(std::move(deps)), num_missing_dependencies_(dependencies_.size()), waiting_task_counter_map_(counter_map), @@ -238,8 +238,8 @@ class DependencyManager : public TaskDependencyManagerInterface { waiting_task_counter_map_.Increment(task_key_); } } - /// The objects that the task depends on. These are the arguments to the - /// task. These must all be simultaneously local before the task is ready + /// The objects that the lease depends on. These are the arguments to the + /// lease. These must all be simultaneously local before the lease is ready /// to execute. Objects are removed from this set once /// UnsubscribeGetDependencies is called. absl::flat_hash_set dependencies_; @@ -268,7 +268,7 @@ class DependencyManager : public TaskDependencyManagerInterface { } } - ~TaskDependencies() { + ~LeaseDependencies() { if (num_missing_dependencies_ > 0) { waiting_task_counter_map_.Decrement(task_key_); } @@ -280,16 +280,16 @@ class DependencyManager : public TaskDependencyManagerInterface { void RemoveObjectIfNotNeeded( absl::flat_hash_map::iterator required_object_it); - /// Start tracking an object that is needed by a worker and/or queued task. + /// Start tracking an object that is needed by a worker and/or queued lease. absl::flat_hash_map::iterator GetOrInsertRequiredObject( const ObjectID &object_id, const rpc::ObjectReference &ref); /// The object manager, used to fetch required objects from remote nodes. ObjectManagerInterface &object_manager_; - /// A map from the ID of a queued task to metadata about whether the task's + /// A map from the ID of a queued lease to metadata about whether the lease's /// dependencies are all local or not. - absl::flat_hash_map> queued_task_requests_; + absl::flat_hash_map> queued_lease_requests_; /// A map from worker ID to the set of objects that the worker called /// `ray.get` on and a pull request ID for these objects. The pull request ID @@ -303,20 +303,20 @@ class DependencyManager : public TaskDependencyManagerInterface { /// or the worker cancels the `ray.wait` request. absl::flat_hash_map> wait_requests_; - /// Deduplicated pool of objects required by all queued tasks and workers. - /// Objects are removed from this set once there are no more tasks or workers + /// Deduplicated pool of objects required by all queued leases and workers. + /// Objects are removed from this set once there are no more leases or workers /// that require it. absl::flat_hash_map required_objects_; /// The set of locally available objects. This is used to determine which - /// tasks are ready to run and which `ray.wait` requests can be finished. + /// leases are ready to run and which `ray.wait` requests can be finished. std::unordered_set local_objects_; - /// Counts the number of active task dependency fetches by task name. The counter - /// total will be less than or equal to the size of queued_task_requests_. - CounterMap waiting_tasks_counter_; + /// Counts the number of active lease dependency fetches by lease name. The counter + /// total will be less than or equal to the size of queued_lease_requests_. + CounterMap waiting_leases_counter_; - friend class DependencyManagerTest; + friend class LeaseDependencyManagerTest; }; } // namespace raylet diff --git a/src/ray/raylet/local_task_manager.cc b/src/ray/raylet/local_lease_manager.cc similarity index 57% rename from src/ray/raylet/local_task_manager.cc rename to src/ray/raylet/local_lease_manager.cc index cf1956fa91dc..f1d516d3a642 100644 --- a/src/ray/raylet/local_task_manager.cc +++ b/src/ray/raylet/local_lease_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet/local_task_manager.h" +#include "ray/raylet/local_lease_manager.h" #include @@ -31,163 +31,162 @@ namespace ray { namespace raylet { -LocalTaskManager::LocalTaskManager( +LocalLeaseManager::LocalLeaseManager( const NodeID &self_node_id, ClusterResourceScheduler &cluster_resource_scheduler, - TaskDependencyManagerInterface &task_dependency_manager, + LeaseDependencyManagerInterface &lease_dependency_manager, internal::NodeInfoGetter get_node_info, WorkerPoolInterface &worker_pool, absl::flat_hash_map> &leased_workers, std::function &object_ids, std::vector> *results)> - get_task_arguments, - size_t max_pinned_task_arguments_bytes, + get_lease_arguments, + size_t max_pinned_lease_arguments_bytes, std::function get_time_ms, int64_t sched_cls_cap_interval_ms) : self_node_id_(self_node_id), self_scheduling_node_id_(self_node_id.Binary()), cluster_resource_scheduler_(cluster_resource_scheduler), - task_dependency_manager_(task_dependency_manager), + lease_dependency_manager_(lease_dependency_manager), get_node_info_(get_node_info), max_resource_shapes_per_load_report_( RayConfig::instance().max_resource_shapes_per_load_report()), worker_pool_(worker_pool), leased_workers_(leased_workers), - get_task_arguments_(get_task_arguments), - max_pinned_task_arguments_bytes_(max_pinned_task_arguments_bytes), + get_lease_arguments_(get_lease_arguments), + max_pinned_lease_arguments_bytes_(max_pinned_lease_arguments_bytes), get_time_ms_(get_time_ms), sched_cls_cap_enabled_(RayConfig::instance().worker_cap_enabled()), sched_cls_cap_interval_ms_(sched_cls_cap_interval_ms), sched_cls_cap_max_ms_(RayConfig::instance().worker_cap_max_backoff_delay_ms()) {} -void LocalTaskManager::QueueAndScheduleTask(std::shared_ptr work) { - // If the local node is draining, the cluster task manager will +void LocalLeaseManager::QueueAndScheduleLease(std::shared_ptr work) { + // If the local node is draining, the cluster lease manager will // guarantee that the local node is not selected for scheduling. RAY_CHECK(!cluster_resource_scheduler_.GetLocalResourceManager().IsLocalNodeDraining()); - // The local node must be feasible if the cluster task manager decides to run the task + // The local node must be feasible if the cluster lease manager decides to run the task // locally. RAY_CHECK(cluster_resource_scheduler_.GetClusterResourceManager().HasFeasibleResources( self_scheduling_node_id_, - ResourceMapToResourceRequest(work->task_.GetTaskSpecification() + ResourceMapToResourceRequest(work->lease_.GetLeaseSpecification() .GetRequiredPlacementResources() .GetResourceMap(), /*requires_object_store_memory=*/false))) - << work->task_.GetTaskSpecification().DebugString() << " " + << work->lease_.GetLeaseSpecification().DebugString() << " " << cluster_resource_scheduler_.GetClusterResourceManager() .GetNodeResources(self_scheduling_node_id_) .DebugString(); - WaitForTaskArgsRequests(std::move(work)); - ScheduleAndDispatchTasks(); + WaitForLeaseArgsRequests(std::move(work)); + ScheduleAndGrantLeases(); } -void LocalTaskManager::WaitForTaskArgsRequests(std::shared_ptr work) { - const auto &task = work->task_; - const auto &task_id = task.GetTaskSpecification().TaskId(); - const auto &scheduling_key = task.GetTaskSpecification().GetSchedulingClass(); - auto object_ids = task.GetTaskSpecification().GetDependencies(); +void LocalLeaseManager::WaitForLeaseArgsRequests(std::shared_ptr work) { + const auto &lease = work->lease_; + const auto &lease_id = lease.GetLeaseSpecification().LeaseId(); + const auto &scheduling_key = lease.GetLeaseSpecification().GetSchedulingClass(); + auto object_ids = lease.GetLeaseSpecification().GetDependencies(); if (!object_ids.empty()) { - bool args_ready = task_dependency_manager_.RequestTaskDependencies( - task_id, - task.GetDependencies(), - {task.GetTaskSpecification().GetName(), task.GetTaskSpecification().IsRetry()}); + bool args_ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, + lease.GetLeaseSpecification().GetDependencies(), + {lease.GetLeaseSpecification().GetTaskName(), + lease.GetLeaseSpecification().IsRetry()}); if (args_ready) { - RAY_LOG(DEBUG) << "Args already ready, task can be dispatched " << task_id; - tasks_to_dispatch_[scheduling_key].emplace_back(std::move(work)); + RAY_LOG(DEBUG) << "Args already ready, lease can be granted " << lease_id; + leases_to_grant_[scheduling_key].emplace_back(std::move(work)); } else { - RAY_LOG(DEBUG) << "Waiting for args for task: " - << task.GetTaskSpecification().TaskId(); - auto it = waiting_task_queue_.insert(waiting_task_queue_.end(), std::move(work)); - RAY_CHECK(waiting_tasks_index_.emplace(task_id, it).second); + RAY_LOG(DEBUG) << "Waiting for args for lease: " << lease_id; + auto it = waiting_lease_queue_.insert(waiting_lease_queue_.end(), std::move(work)); + RAY_CHECK(waiting_leases_index_.emplace(lease_id, it).second); } } else { - RAY_LOG(DEBUG) << "No args, task can be dispatched " - << task.GetTaskSpecification().TaskId(); - tasks_to_dispatch_[scheduling_key].emplace_back(std::move(work)); + RAY_LOG(DEBUG) << "No args, lease can be granted " << lease_id; + leases_to_grant_[scheduling_key].emplace_back(std::move(work)); } } -void LocalTaskManager::ScheduleAndDispatchTasks() { - DispatchScheduledTasksToWorkers(); +void LocalLeaseManager::ScheduleAndGrantLeases() { + GrantScheduledLeasesToWorkers(); // TODO(swang): Spill from waiting queue first? Otherwise, we may end up - // spilling a task whose args are already local. - // TODO(swang): Invoke ScheduleAndDispatchTasks() when we run out of memory + // spilling a lease whose args are already local. + // TODO(swang): Invoke ScheduleAndGrantLeases() when we run out of memory // in the PullManager or periodically, to make sure that we spill waiting - // tasks that are blocked. - SpillWaitingTasks(); + // leases that are blocked. + SpillWaitingLeases(); } -void LocalTaskManager::DispatchScheduledTasksToWorkers() { - // Check every task in task_to_dispatch queue to see - // whether it can be dispatched and ran. This avoids head-of-line - // blocking where a task which cannot be dispatched because +void LocalLeaseManager::GrantScheduledLeasesToWorkers() { + // Check every lease in leases_to_grant queue to see + // whether it can be granted and ran. This avoids head-of-line + // blocking where a lease which cannot be granted because // there are not enough available resources blocks other - // tasks from being dispatched. - for (auto shapes_it = tasks_to_dispatch_.begin(); - shapes_it != tasks_to_dispatch_.end();) { + // leases from being granted. + for (auto shapes_it = leases_to_grant_.begin(); shapes_it != leases_to_grant_.end();) { auto &scheduling_class = shapes_it->first; - auto &dispatch_queue = shapes_it->second; + auto &leases_to_grant_queue = shapes_it->second; auto sched_cls_iter = info_by_sched_cls_.find(scheduling_class); if (sched_cls_iter == info_by_sched_cls_.end()) { // Initialize the class info. - sched_cls_iter = info_by_sched_cls_ - .emplace(scheduling_class, - SchedulingClassInfo(MaxRunningTasksPerSchedulingClass( - scheduling_class))) - .first; + sched_cls_iter = + info_by_sched_cls_ + .emplace(scheduling_class, + SchedulingClassInfo( + MaxGrantedLeasesPerSchedulingClass(scheduling_class))) + .first; } auto &sched_cls_info = sched_cls_iter->second; // Fair scheduling is applied only when the total CPU requests exceed the node's - // capacity. This skips scheduling classes whose number of running tasks exceeds the - // average number of tasks per scheduling class. + // capacity. This skips scheduling classes whose number of granted leases exceeds the + // average number of granted leases per scheduling class. // The purpose of fair scheduling is to ensure that each scheduling class has an - // equal chance of being selected for dispatch. For instance, in a pipeline with both - // data producers and consumers, we aim for consumers to have the same chance to be - // dispatched as producers. This prevents memory peak caused by dispatching all - // producer tasks first. - // A scheduling class is skipped from dispatching if its number of running tasks - // exceeds the fair_share, which is the average number of running tasks among all + // equal chance of being selected for lease granting. For instance, in a pipeline with + // both data producers and consumers, we aim for consumers to have the same chance to + // be granted a lease as producers. This prevents memory peak caused by granting all + // producer leases first. + // A scheduling class is skipped from lease granting if its number of granted leases + // exceeds the fair_share, which is the average number of granted leases among all // scheduling classes. For example, consider a scenario where we have 3 CPUs and 2 - // scheduling classes, `f` and `g`, each with 4 tasks. - // Status 1: The queue init with [f, f, f, f, g, g, g, g], and 0 running tasks. - // Status 2: We dispatch 3 `f` tasks. Now the queue is [f, g, g, g, g], - // with 3 `f` tasks running. - // Status 3: Suppose 1 `f` task finishes. When choosing the next task to dispatch, - // the queue is [f, g, g, g, g], and there are 2 `f` tasks running. + // scheduling classes, `f` and `g`, each with 4 leases. + // Status 1: The queue init with [f, f, f, f, g, g, g, g], and 0 granted leases. + // Status 2: We grant 3 `f` leases. Now the queue is [f, g, g, g, g], + // with 3 `f` leases granted. + // Status 3: Suppose 1 `f` lease finishes. When choosing the next lease to grant, + // the queue is [f, g, g, g, g], and there are 2 `f` leases granted. // We calculate fair_share as follows: - // fair_share = number of running tasks / number of scheduling classes + // fair_share = number of granted leases / number of scheduling classes // = 2 / 2 = 1. - // Since the number of running `f` tasks (2) is greater than the - // fair_share (1), we skip `f` and choose to dispatch `g`. - // Note 1: Fair_share is calculated as (total number of running tasks with >0 CPU) - // / (number of scheduling classes in tasks_to_dispatch_). + // Since the number of granted `f` leases (2) is greater than the + // fair_share (1), we skip `f` and choose to grant `g`. + // Note 1: Fair_share is calculated as (total number of granted leases with >0 CPU) + // / (number of scheduling classes in leases_to_dispatch_). // Note 2: The decision to skip a scheduling class happens when loop through the - // scheduling classes (keys of tasks_to_dispatch_). This means we check for + // scheduling classes (keys of leases_to_grant_). This means we check for // fair dispatching when looping through the scheduling classes rather than - // for each individual task, reducing the number of checks required. - // This is why in Status 2 of the example, we dispatch 3 `f` tasks because - // we chose `f` for dispatch,and we continue dispatching all `f` - // tasks until resources are fully utilized. + // for each individual lease, reducing the number of checks required. + // This is why in Status 2 of the example, we grant 3 `f` leases because + // we chose `f` for grant, and we continue granting all `f` + // leases until resources are fully utilized. - // Currently, fair dispatching is implemented only for tasks that require CPU + // Currently, fair granting is implemented only for leases that require CPU // resources. CPU. For details, see https://github.com/ray-project/ray/pull/44733. - // Calculate the total CPU requests for all tasks in the tasks_to_dispatch queue. + // Calculate the total CPU requests for all leases in the leases_to_grant queue. double total_cpu_requests_ = 0.0; // Count the number of scheduling classes that require CPU and sum their total CPU // requests. size_t num_classes_with_cpu = 0; - for (const auto &[_, cur_dispatch_queue] : tasks_to_dispatch_) { + for (const auto &[_, cur_dispatch_queue] : leases_to_grant_) { // Only need to check the first because all tasks with the same scheduling class // have the same CPU resource requirements. RAY_CHECK(!cur_dispatch_queue.empty()); const auto &work = cur_dispatch_queue.front(); - const auto &task_spec = work->task_.GetTaskSpecification(); + const auto &lease_spec = work->lease_.GetLeaseSpecification(); auto cpu_request_ = - task_spec.GetRequiredResources().Get(scheduling::ResourceID::CPU()).Double(); + lease_spec.GetRequiredResources().Get(scheduling::ResourceID::CPU()).Double(); if (cpu_request_ > 0) { num_classes_with_cpu++; total_cpu_requests_ += cur_dispatch_queue.size() * cpu_request_; @@ -199,59 +198,62 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { cluster_resource_scheduler_.GetLocalResourceManager().GetNumCpus(); // Compare total CPU requests with the node's total CPU capacity. If the requests - // exceed the capacity, check if fair dispatching is needed. + // exceed the capacity, check if fair granting is needed. if (sched_cls_desc.resource_set.Get(scheduling::ResourceID::CPU()).Double() > 0 && total_cpu_requests_ > total_cpus) { RAY_LOG(DEBUG) - << "Applying fairness policy. Total CPU requests in tasks_to_dispatch_ (" + << "Applying fairness policy. Total CPU requests in leases_to_grant_ (" << total_cpu_requests_ << ") exceed total CPUs available (" << total_cpus << ")."; - // Get the total number of running tasks requires CPU. - size_t total_cpu_running_tasks = 0; + // Get the total number of granted leases that require CPU. + size_t total_cpu_granted_leases = 0; for (auto &entry : info_by_sched_cls_) { // Only consider CPU requests const auto &cur_sched_cls_desc = TaskSpecification::GetSchedulingClassDescriptor(entry.first); if (cur_sched_cls_desc.resource_set.Get(scheduling::ResourceID::CPU()).Double() > 0) { - total_cpu_running_tasks += entry.second.running_tasks.size(); + total_cpu_granted_leases += entry.second.granted_leases.size(); } } // 1. We have confirmed that this is a scheduling class that requires CPU resources, // hence num_classes_with_cpu >= 1 (cannot be 0) as this scheduling class is in - // tasks_to_dispatch_. - // 2. We will compute fair_share as the ideal distribution of tasks among all - // scheduling classes in tasks_to_dispatch_. Then, we will check if the number of - // running tasks for this scheduling class exceeds its ideal fair_share. - // 3. Note: We should get the num_classes_with_cpu from tasks_to_dispatch_ - // instead of the info_by_sched_cls_ although total_cpu_running_tasks gets from - // the task running. First, info_by_sched_cls_ may not be initialized yet for - // some scheduling classes (as we initialize it in the loop). Second, we expect - // the number of running tasks for this scheduling class to not be much. However, - // if no tasks of this scheduling class are running, it will not be skipped. - - size_t fair_share = total_cpu_running_tasks / num_classes_with_cpu; - if (sched_cls_info.running_tasks.size() > fair_share) { - RAY_LOG(DEBUG) << "Skipping dispatch for scheduling class " << scheduling_class - << ". Running tasks (" << sched_cls_info.running_tasks.size() - << ") exceed fair share (" << fair_share << ")."; + // leases_to_grant_. + // 2. We will compute fair_share as the ideal distribution of leases among all + // scheduling classes in leases_to_grant_. Then, we will check if the number + // of granted leases for this scheduling class exceeds its ideal fair_share. + // 3. Note: We should get the num_classes_with_cpu from leases_to_grant_ + // instead of the info_by_sched_cls_ although total_cpu_granted_leases is + // obtained from the granted leases. First, info_by_sched_cls_ may not be + // initialized yet for some scheduling classes (as we initialize it in the loop). + // Second, we expect the number of granted leases for this scheduling class to + // not be much. However, if no leases of this scheduling class are granted, it + // will not be skipped. + + size_t fair_share = total_cpu_granted_leases / num_classes_with_cpu; + if (sched_cls_info.granted_leases.size() > fair_share) { + RAY_LOG(DEBUG) << "Skipping lease granting for scheduling class " + << scheduling_class << ". Granted leases (" + << sched_cls_info.granted_leases.size() << ") exceed fair share (" + << fair_share << ")."; shapes_it++; continue; } } - /// We cap the maximum running tasks of a scheduling class to avoid - /// scheduling too many tasks of a single type/depth, when there are + /// We cap the maximum granted leases of a scheduling class to avoid + /// granting too many leases of a single type/depth, when there are /// deeper/other functions that should be run. We need to apply back /// pressure to limit the number of worker processes started in scenarios /// with nested tasks. bool is_infeasible = false; - for (auto work_it = dispatch_queue.begin(); work_it != dispatch_queue.end();) { + for (auto work_it = leases_to_grant_queue.begin(); + work_it != leases_to_grant_queue.end();) { auto &work = *work_it; - const auto &task = work->task_; - const auto &spec = task.GetTaskSpecification(); - TaskID task_id = spec.TaskId(); + const auto &lease = work->lease_; + const auto &spec = lease.GetLeaseSpecification(); + LeaseID lease_id = spec.LeaseId(); if (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER) { work_it++; continue; @@ -259,14 +261,14 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { // Check if the scheduling class is at capacity now. if (sched_cls_cap_enabled_ && - sched_cls_info.running_tasks.size() >= sched_cls_info.capacity && + sched_cls_info.granted_leases.size() >= sched_cls_info.capacity && work->GetState() == internal::WorkStatus::WAITING) { RAY_LOG(DEBUG) << "Hit cap! time=" << get_time_ms_() << " next update time=" << sched_cls_info.next_update_time; if (get_time_ms_() < sched_cls_info.next_update_time) { - // We're over capacity and it's not time to admit a new task yet. - // Calculate the next time we should admit a new task. - int64_t current_capacity = sched_cls_info.running_tasks.size(); + // We're over capacity and it's not time to grant a new lease yet. + // Calculate the next time we should grant a new lease. + int64_t current_capacity = sched_cls_info.granted_leases.size(); int64_t allowed_capacity = sched_cls_info.capacity; int64_t exp = current_capacity - allowed_capacity; int64_t wait_time = sched_cls_cap_interval_ms_ * (1L << exp); @@ -280,11 +282,11 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { sched_cls_info.next_update_time = std::min(target_time, sched_cls_info.next_update_time); - // While we're over capacity and cannot run the task, - // try to spill to a node that can run it. + // While we're over capacity and cannot grant the lease, + // try to spill to a node that can. bool did_spill = TrySpillback(work, is_infeasible); if (did_spill) { - work_it = dispatch_queue.erase(work_it); + work_it = leases_to_grant_queue.erase(work_it); continue; } @@ -293,32 +295,32 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { } bool args_missing = false; - bool success = PinTaskArgsIfMemoryAvailable(spec, &args_missing); - // An argument was evicted since this task was added to the dispatch + bool success = PinLeaseArgsIfMemoryAvailable(spec, &args_missing); + // An argument was evicted since this lease was added to the grant // queue. Move it back to the waiting queue. The caller is responsible - // for notifying us when the task is unblocked again. + // for notifying us when the lease is unblocked again. if (!success) { if (args_missing) { - // Insert the task at the head of the waiting queue because we + // Insert the lease at the head of the waiting queue because we // prioritize spilling from the end of the queue. // TODO(scv119): where does pulling happen? - auto it = waiting_task_queue_.insert(waiting_task_queue_.begin(), - std::move(*work_it)); - RAY_CHECK(waiting_tasks_index_.emplace(task_id, it).second); - work_it = dispatch_queue.erase(work_it); + auto it = waiting_lease_queue_.insert(waiting_lease_queue_.begin(), + std::move(*work_it)); + RAY_CHECK(waiting_leases_index_.emplace(lease_id, it).second); + work_it = leases_to_grant_queue.erase(work_it); } else { - // The task's args cannot be pinned due to lack of memory. We should - // retry dispatching the task once another task finishes and releases + // The lease's args cannot be pinned due to lack of memory. We should + // retry granting the lease once another lease finishes and releases // its arguments. - RAY_LOG(DEBUG) << "Dispatching task " << task_id + RAY_LOG(DEBUG) << "Granting lease " << lease_id << " would put this node over the max memory allowed for " - "arguments of executing tasks (" - << max_pinned_task_arguments_bytes_ - << "). Waiting to dispatch task until other tasks complete"; - RAY_CHECK(!executing_task_args_.empty() && !pinned_task_arguments_.empty()) - << "Cannot dispatch task " << task_id - << " until another task finishes and releases its arguments, but no other " - "task is running"; + "arguments of granted leases (" + << max_pinned_lease_arguments_bytes_ + << "). Waiting to grant lease until other leases are returned"; + RAY_CHECK(!granted_lease_args_.empty() && !pinned_lease_arguments_.empty()) + << "Cannot grant lease " << lease_id + << " until another lease is returned and releases its arguments, but no " + "other lease is granted"; work->SetStateWaiting( internal::UnscheduledWorkCause::WAITING_FOR_AVAILABLE_PLASMA_MEMORY); work_it++; @@ -335,41 +337,41 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { .AllocateLocalTaskResources(spec.GetRequiredResources().GetResourceMap(), allocated_instances); if (!schedulable) { - ReleaseTaskArgs(task_id); - // The local node currently does not have the resources to run the task, so we + ReleaseLeaseArgs(lease_id); + // The local node currently does not have the resources to grant the lease, so we // should try spilling to another node. bool did_spill = TrySpillback(work, is_infeasible); if (!did_spill) { - // There must not be any other available nodes in the cluster, so the task + // There must not be any other available nodes in the cluster, so the lease // should stay on this node. We can skip the rest of the shape because the // scheduler will make the same decision. work->SetStateWaiting( internal::UnscheduledWorkCause::WAITING_FOR_RESOURCES_AVAILABLE); break; } - work_it = dispatch_queue.erase(work_it); + work_it = leases_to_grant_queue.erase(work_it); } else { // Force us to recalculate the next update time the next time a task // comes through this queue. We should only do this when we're // confident we're ready to dispatch the task after all checks have // passed. sched_cls_info.next_update_time = std::numeric_limits::max(); - sched_cls_info.running_tasks.insert(spec.TaskId()); - // The local node has the available resources to run the task, so we should run - // it. + sched_cls_info.granted_leases.insert(lease_id); + // The local node has the available resources to grant the lease, so we should + // grant it. work->allocated_instances_ = allocated_instances; work->SetStateWaitingForWorker(); bool is_detached_actor = spec.IsDetachedActor(); auto &owner_address = spec.CallerAddress(); - /// TODO(scv119): if a worker is not started, the resources is leaked and + /// TODO(scv119): if a worker is not started, the resources are leaked and // task might be hanging. worker_pool_.PopWorker( spec, - [this, task_id, scheduling_class, work, is_detached_actor, owner_address]( + [this, lease_id, scheduling_class, work, is_detached_actor, owner_address]( const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { - // TODO(hjiang): After getting the ready-to-use worker and task id, we're + // TODO(hjiang): After getting the ready-to-use worker and lease id, we're // able to get physical execution context. // // ownership chain: raylet has-a node manager, node manager has-a local task @@ -381,7 +383,7 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { return PoppedWorkerHandler(worker, status, - task_id, + lease_id, scheduling_class, work, is_detached_actor, @@ -394,77 +396,79 @@ void LocalTaskManager::DispatchScheduledTasksToWorkers() { // In the beginning of the loop, we add scheduling_class // to the `info_by_sched_cls_` map. // In cases like dead owners, we may not add any tasks - // to `running_tasks` so we can remove the map entry + // to `granted_leases` so we can remove the map entry // for that scheduling_class to prevent memory leaks. - if (sched_cls_info.running_tasks.size() == 0) { + if (sched_cls_info.granted_leases.size() == 0) { info_by_sched_cls_.erase(scheduling_class); } if (is_infeasible) { - const auto &front_task = dispatch_queue.front()->task_.GetTaskSpecification(); - RAY_LOG(ERROR) << "A task got scheduled to a node even though it was infeasible. " - "Please report an issue on GitHub.\nTask: " - << front_task.DebugString(); - auto dispatch_queue_iter = dispatch_queue.begin(); - while (dispatch_queue_iter != dispatch_queue.end()) { - CancelTaskToDispatch( - *dispatch_queue_iter, + const auto &front_lease = + leases_to_grant_queue.front()->lease_.GetLeaseSpecification(); + RAY_LOG(ERROR) << "A lease got granted to a node even though it was infeasible. " + "Please report an issue on GitHub.\nLease: " + << front_lease.DebugString(); + auto leases_to_grant_queue_iter = leases_to_grant_queue.begin(); + while (leases_to_grant_queue_iter != leases_to_grant_queue.end()) { + CancelLeaseToGrant( + *leases_to_grant_queue_iter, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE, - "Scheduling failed due to the task becoming infeasible."); - dispatch_queue_iter = dispatch_queue.erase(dispatch_queue_iter); + "Lease granting failed due to the lease becoming infeasible."); + leases_to_grant_queue_iter = + leases_to_grant_queue.erase(leases_to_grant_queue_iter); } - tasks_to_dispatch_.erase(shapes_it++); - } else if (dispatch_queue.empty()) { - tasks_to_dispatch_.erase(shapes_it++); + leases_to_grant_.erase(shapes_it++); + } else if (leases_to_grant_queue.empty()) { + leases_to_grant_.erase(shapes_it++); } else { shapes_it++; } } } -void LocalTaskManager::SpillWaitingTasks() { - // Try to spill waiting tasks to a remote node, prioritizing those at the end - // of the queue. Waiting tasks are spilled if there are enough remote +void LocalLeaseManager::SpillWaitingLeases() { + // Try to spill waiting leases to a remote node, prioritizing those at the end + // of the queue. Waiting leases are spilled if there are enough remote // resources AND (we have no resources available locally OR their - // dependencies are not being fetched). We should not spill tasks whose + // dependencies are not being fetched). We should not spill leases whose // dependencies are actively being fetched because some of their dependencies // may already be local or in-flight to this node. // // NOTE(swang): We do not iterate by scheduling class here, so if we break - // due to lack of remote resources, it is possible that a waiting task that + // due to lack of remote resources, it is possible that a waiting lease that // is earlier in the queue could have been scheduled to a remote node. // TODO(scv119): this looks very aggressive: we will try to spillback - // all the tasks in the waiting queue regardless of the wait time. - auto it = waiting_task_queue_.end(); - while (it != waiting_task_queue_.begin()) { + // all the leases in the waiting queue regardless of the wait time. + auto it = waiting_lease_queue_.end(); + while (it != waiting_lease_queue_.begin()) { it--; - const auto &task = (*it)->task_; - const auto &spec = task.GetTaskSpecification(); - const auto &task_id = spec.TaskId(); + const auto &lease = (*it)->lease_; + const auto &lease_spec = lease.GetLeaseSpecification(); + const auto &lease_id = lease_spec.LeaseId(); - // Check whether this task's dependencies are blocked (not being actively - // pulled). If this is true, then we should force the task onto a remote + // Check whether this lease's dependencies are blocked (not being actively + // pulled). If this is true, then we should force the lease onto a remote // feasible node, even if we have enough resources available locally for // placement. - bool task_dependencies_blocked = - task_dependency_manager_.TaskDependenciesBlocked(task_id); - RAY_LOG(DEBUG) << "Attempting to spill back waiting task " << task_id + bool lease_dependencies_blocked = + lease_dependency_manager_.LeaseDependenciesBlocked(lease_id); + RAY_LOG(DEBUG) << "Attempting to spill back waiting lease " << lease_id << " to remote node. Dependencies blocked? " - << task_dependencies_blocked; + << lease_dependencies_blocked; bool is_infeasible; // TODO(swang): The policy currently does not account for the amount of // object store memory availability. Ideally, we should pick the node with // the most memory availability. scheduling::NodeID scheduling_node_id; - if (!spec.IsSpreadSchedulingStrategy()) { + if (!lease_spec.IsSpreadSchedulingStrategy()) { scheduling_node_id = cluster_resource_scheduler_.GetBestSchedulableNode( - spec, + lease_spec, /*preferred_node_id*/ self_node_id_.Binary(), - /*exclude_local_node*/ task_dependencies_blocked, + /*exclude_local_node*/ lease_dependencies_blocked, /*requires_object_store_memory*/ true, &is_infeasible); } else { // If scheduling strategy is spread, we prefer honoring spread decision - // and waiting for task dependencies to be pulled + // and waiting for lease dependencies to be pulled // locally than spilling back and causing uneven spread. scheduling_node_id = self_scheduling_node_id_; } @@ -472,21 +476,21 @@ void LocalTaskManager::SpillWaitingTasks() { if (!scheduling_node_id.IsNil() && scheduling_node_id != self_scheduling_node_id_) { NodeID node_id = NodeID::FromBinary(scheduling_node_id.Binary()); Spillback(node_id, *it); - if (!spec.GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies(spec.TaskId()); + if (!lease_spec.GetDependencies().empty()) { + lease_dependency_manager_.RemoveLeaseDependencies(lease_id); } - num_waiting_task_spilled_++; - waiting_tasks_index_.erase(task_id); - it = waiting_task_queue_.erase(it); + num_waiting_lease_spilled_++; + waiting_leases_index_.erase(lease_id); + it = waiting_lease_queue_.erase(it); } else { if (scheduling_node_id.IsNil()) { - RAY_LOG(DEBUG) << "RayTask " << task_id + RAY_LOG(DEBUG) << "RayLease " << lease_id << " has blocked dependencies, but no other node has resources, " - "keeping the task local"; + "keeping the lease local"; } else { - RAY_LOG(DEBUG) << "Keeping waiting task " << task_id << " local"; + RAY_LOG(DEBUG) << "Keeping waiting lease " << lease_id << " local"; } - // We should keep the task local. Note that an earlier task in the queue + // We should keep the lease local. Note that an earlier lease in the queue // may have different resource requirements and could actually be // scheduled on a remote node. break; @@ -494,9 +498,9 @@ void LocalTaskManager::SpillWaitingTasks() { } } -bool LocalTaskManager::TrySpillback(const std::shared_ptr &work, - bool &is_infeasible) { - const auto &spec = work->task_.GetTaskSpecification(); +bool LocalLeaseManager::TrySpillback(const std::shared_ptr &work, + bool &is_infeasible) { + const auto &spec = work->lease_.GetLeaseSpecification(); auto scheduling_node_id = cluster_resource_scheduler_.GetBestSchedulableNode( spec, // We should prefer to stay local if possible @@ -514,17 +518,17 @@ bool LocalTaskManager::TrySpillback(const std::shared_ptr &work, NodeID node_id = NodeID::FromBinary(scheduling_node_id.Binary()); Spillback(node_id, work); - num_unschedulable_task_spilled_++; + num_unschedulable_lease_spilled_++; if (!spec.GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies(spec.TaskId()); + lease_dependency_manager_.RemoveLeaseDependencies(spec.LeaseId()); } return true; } -bool LocalTaskManager::PoppedWorkerHandler( +bool LocalLeaseManager::PoppedWorkerHandler( const std::shared_ptr worker, PopWorkerStatus status, - const TaskID &task_id, + const LeaseID &lease_id, SchedulingClass scheduling_class, const std::shared_ptr &work, bool is_detached_actor, @@ -533,12 +537,12 @@ bool LocalTaskManager::PoppedWorkerHandler( const auto &reply = work->reply_; const auto &callback = work->callback_; const bool canceled = work->GetState() == internal::WorkStatus::CANCELLED; - const auto &task = work->task_; - bool dispatched = false; + const auto &lease = work->lease_; + bool granted = false; if (!canceled) { const auto &required_resource = - task.GetTaskSpecification().GetRequiredResources().GetResourceMap(); + lease.GetLeaseSpecification().GetRequiredResources().GetResourceMap(); for (auto &entry : required_resource) { // This is to make sure PG resource is not deleted during popping worker // unless the lease request is cancelled. @@ -548,62 +552,63 @@ bool LocalTaskManager::PoppedWorkerHandler( } } - // Erases the work from task_to_dispatch_ queue, also removes the task dependencies. + // Erases the work from lease_to_grant_ queue, also removes the lease dependencies. // // IDEA(ryw): Make an RAII class to wrap the a shared_ptr and - // requests task dependency upon ctor, and remove task dependency upon dtor. - // I tried this, it works, but we expose the map via GetTaskToDispatch() used in + // requests lease dependency upon ctor, and remove lease dependency upon dtor. + // I tried this, it works, but we expose the map via GetLeasesToGrant() used in // scheduler_resource_reporter.cc. Maybe we can use `boost::any_range` to only expose // a view of the Work ptrs, but I got dependency issues // (can't include boost/range/any_range.hpp). - auto erase_from_dispatch_queue_fn = + auto erase_from_leases_to_grant_queue_fn = [this](const std::shared_ptr &work_to_erase, const SchedulingClass &_scheduling_class) { - auto shapes_it = tasks_to_dispatch_.find(_scheduling_class); - RAY_CHECK(shapes_it != tasks_to_dispatch_.end()); - auto &dispatch_queue = shapes_it->second; + auto shapes_it = leases_to_grant_.find(_scheduling_class); + RAY_CHECK(shapes_it != leases_to_grant_.end()); + auto &leases_to_grant_queue = shapes_it->second; bool erased = false; - for (auto work_it = dispatch_queue.begin(); work_it != dispatch_queue.end(); + for (auto work_it = leases_to_grant_queue.begin(); + work_it != leases_to_grant_queue.end(); work_it++) { if (*work_it == work_to_erase) { - dispatch_queue.erase(work_it); + leases_to_grant_queue.erase(work_it); erased = true; break; } } - if (dispatch_queue.empty()) { - tasks_to_dispatch_.erase(shapes_it); + if (leases_to_grant_queue.empty()) { + leases_to_grant_.erase(shapes_it); } RAY_CHECK(erased); - const auto &_task = work_to_erase->task_; - if (!_task.GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies( - _task.GetTaskSpecification().TaskId()); + const auto &_lease = work_to_erase->lease_; + if (!_lease.GetLeaseSpecification().GetDependencies().empty()) { + lease_dependency_manager_.RemoveLeaseDependencies( + _lease.GetLeaseSpecification().LeaseId()); } }; if (canceled) { // Task has been canceled. - RAY_LOG(DEBUG) << "Task " << task_id << " has been canceled when worker popped"; - RemoveFromRunningTasksIfExists(task); - // All the cleaning work has been done when canceled task. Just return + RAY_LOG(DEBUG) << "Lease " << lease_id << " has been canceled when worker popped"; + RemoveFromGrantedLeasesIfExists(lease); + // All the cleaning work has been done when canceled lease. Just return // false without doing anything. return false; } if (!worker) { - dispatched = false; + granted = false; // We've already acquired resources so we need to release them. cluster_resource_scheduler_.GetLocalResourceManager().ReleaseWorkerResources( work->allocated_instances_); work->allocated_instances_ = nullptr; // Release pinned task args. - ReleaseTaskArgs(task_id); - RemoveFromRunningTasksIfExists(task); + ReleaseLeaseArgs(lease_id); + RemoveFromGrantedLeasesIfExists(lease); // Empty worker popped. - RAY_LOG(DEBUG).WithField(task_id) + RAY_LOG(DEBUG).WithField(lease_id) << "This node has available resources, but no worker processes " "to grant the lease: status " << status; @@ -612,17 +617,17 @@ bool LocalTaskManager::PoppedWorkerHandler( // directly and raise a `RuntimeEnvSetupError` exception to user // eventually. The task will be removed from dispatch queue in // `CancelTask`. - CancelTasks( - [task_id](const auto &w) { - return task_id == w->task_.GetTaskSpecification().TaskId(); + CancelLeases( + [lease_id](const auto &w) { + return lease_id == w->lease_.GetLeaseSpecification().LeaseId(); }, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_RUNTIME_ENV_SETUP_FAILED, /*scheduling_failure_message*/ runtime_env_setup_error_message); } else if (status == PopWorkerStatus::JobFinished) { // The task job finished. // Just remove the task from dispatch queue. - RAY_LOG(DEBUG) << "Call back to a job finished task, task id = " << task_id; - erase_from_dispatch_queue_fn(work, scheduling_class); + RAY_LOG(DEBUG) << "Call back to a job finished lease, lease id = " << lease_id; + erase_from_leases_to_grant_queue_fn(work, scheduling_class); } else { // In other cases, set the work status `WAITING` to make this task // could be re-dispatched. @@ -639,21 +644,21 @@ bool LocalTaskManager::PoppedWorkerHandler( work->SetStateWaiting(cause); } } else { - // A worker has successfully popped for a valid task. Dispatch the task to + // A worker has successfully popped for a valid lease. Grant the lease to // the worker. - RAY_LOG(DEBUG) << "Dispatching task " << task_id << " to worker " + RAY_LOG(DEBUG) << "Granting lease " << lease_id << " to worker " << worker->WorkerId(); - Dispatch(worker, leased_workers_, work->allocated_instances_, task, reply, callback); - erase_from_dispatch_queue_fn(work, scheduling_class); - dispatched = true; + Grant(worker, leased_workers_, work->allocated_instances_, lease, reply, callback); + erase_from_leases_to_grant_queue_fn(work, scheduling_class); + granted = true; } - return dispatched; + return granted; } -void LocalTaskManager::Spillback(const NodeID &spillback_to, - const std::shared_ptr &work) { +void LocalLeaseManager::Spillback(const NodeID &spillback_to, + const std::shared_ptr &work) { auto send_reply_callback = work->callback_; if (work->grant_or_reject_) { @@ -662,15 +667,15 @@ void LocalTaskManager::Spillback(const NodeID &spillback_to, return; } - num_task_spilled_++; - const auto &task = work->task_; - const auto &task_spec = task.GetTaskSpecification(); - RAY_LOG(DEBUG) << "Spilling task " << task_spec.TaskId() << " to node " << spillback_to; + num_lease_spilled_++; + const auto &lease_spec = work->lease_.GetLeaseSpecification(); + RAY_LOG(DEBUG) << "Spilling lease " << lease_spec.LeaseId() << " to node " + << spillback_to; if (!cluster_resource_scheduler_.AllocateRemoteTaskResources( scheduling::NodeID(spillback_to.Binary()), - task_spec.GetRequiredResources().GetResourceMap())) { - RAY_LOG(DEBUG) << "Tried to allocate resources for request " << task_spec.TaskId() + lease_spec.GetRequiredResources().GetResourceMap())) { + RAY_LOG(DEBUG) << "Tried to allocate resources for request " << lease_spec.LeaseId() << " on a remote node that are no longer available"; } @@ -687,74 +692,74 @@ void LocalTaskManager::Spillback(const NodeID &spillback_to, send_reply_callback(); } -void LocalTaskManager::TasksUnblocked(const std::vector &ready_ids) { +void LocalLeaseManager::LeasesUnblocked(const std::vector &ready_ids) { if (ready_ids.empty()) { return; } - for (const auto &task_id : ready_ids) { - auto it = waiting_tasks_index_.find(task_id); - if (it != waiting_tasks_index_.end()) { + for (const auto &lease_id : ready_ids) { + auto it = waiting_leases_index_.find(lease_id); + if (it != waiting_leases_index_.end()) { auto work = *it->second; - const auto &task = work->task_; - const auto &scheduling_key = task.GetTaskSpecification().GetSchedulingClass(); - RAY_LOG(DEBUG) << "Args ready, task can be dispatched " - << task.GetTaskSpecification().TaskId(); - tasks_to_dispatch_[scheduling_key].push_back(work); - waiting_task_queue_.erase(it->second); - waiting_tasks_index_.erase(it); + const auto &lease = work->lease_; + const auto &scheduling_key = lease.GetLeaseSpecification().GetSchedulingClass(); + RAY_LOG(DEBUG) << "Args ready, lease can be granted " + << lease.GetLeaseSpecification().LeaseId(); + leases_to_grant_[scheduling_key].push_back(work); + waiting_lease_queue_.erase(it->second); + waiting_leases_index_.erase(it); } } - ScheduleAndDispatchTasks(); + ScheduleAndGrantLeases(); } -void LocalTaskManager::RemoveFromRunningTasksIfExists(const RayTask &task) { - auto sched_cls = task.GetTaskSpecification().GetSchedulingClass(); +void LocalLeaseManager::RemoveFromGrantedLeasesIfExists(const RayLease &lease) { + auto sched_cls = lease.GetLeaseSpecification().GetSchedulingClass(); auto it = info_by_sched_cls_.find(sched_cls); if (it != info_by_sched_cls_.end()) { - // TODO(hjiang): After remove the task id from `running_tasks`, corresponding cgroup + // TODO(hjiang): After remove the lease id from `granted_leases`, corresponding cgroup // will be updated. - it->second.running_tasks.erase(task.GetTaskSpecification().TaskId()); - if (it->second.running_tasks.size() == 0) { + it->second.granted_leases.erase(lease.GetLeaseSpecification().LeaseId()); + if (it->second.granted_leases.size() == 0) { info_by_sched_cls_.erase(it); } } } -void LocalTaskManager::TaskFinished(std::shared_ptr worker, - RayTask *task) { - RAY_CHECK(worker != nullptr && task != nullptr); - *task = worker->GetAssignedTask(); - RemoveFromRunningTasksIfExists(*task); +void LocalLeaseManager::CleanupLease(std::shared_ptr worker, + RayLease *lease) { + RAY_CHECK(worker != nullptr && lease != nullptr); + *lease = worker->GetGrantedLease(); + RemoveFromGrantedLeasesIfExists(*lease); - ReleaseTaskArgs(task->GetTaskSpecification().TaskId()); + ReleaseLeaseArgs(lease->GetLeaseSpecification().LeaseId()); if (worker->GetAllocatedInstances() != nullptr) { ReleaseWorkerResources(worker); } } -// TODO(scv119): task args related logic probaly belongs task dependency manager. -bool LocalTaskManager::PinTaskArgsIfMemoryAvailable(const TaskSpecification &spec, - bool *args_missing) { +// TODO(scv119): lease args related logic probaly belongs lease dependency manager. +bool LocalLeaseManager::PinLeaseArgsIfMemoryAvailable( + const LeaseSpecification &lease_spec, bool *args_missing) { std::vector> args; - const auto &deps = spec.GetDependencyIds(); + const auto &deps = lease_spec.GetDependencyIds(); if (!deps.empty()) { // This gets refs to the arguments stored in plasma. The refs should be // deleted once we no longer need to pin the arguments. - if (!get_task_arguments_(deps, &args)) { + if (!get_lease_arguments_(deps, &args)) { *args_missing = true; return false; } for (size_t i = 0; i < deps.size(); i++) { if (args[i] == nullptr) { - // This can happen if the task's arguments were all local at some - // point, but then at least one was evicted before the task could - // be dispatched to a worker. + // This can happen if the lease's arguments were all local at some + // point, but then at least one was evicted before the lease could + // be granted to a worker. RAY_LOG(DEBUG) - << "RayTask " << spec.TaskId() << " argument " << deps[i] - << " was evicted before the task could be dispatched. This can happen " - "when there are many objects needed on this node. The task will be " - "scheduled once all of its dependencies are local."; + << "RayLease " << lease_spec.LeaseId() << " argument " << deps[i] + << " was evicted before the lease could be granted. This can happen " + "when there are many objects needed on this node. The lease will be " + "granted once all of its dependencies are local."; *args_missing = true; return false; } @@ -762,76 +767,78 @@ bool LocalTaskManager::PinTaskArgsIfMemoryAvailable(const TaskSpecification &spe } *args_missing = false; - size_t task_arg_bytes = 0; + size_t lease_arg_bytes = 0; for (auto &arg : args) { - task_arg_bytes += arg->GetSize(); + lease_arg_bytes += arg->GetSize(); } - RAY_LOG(DEBUG) << "RayTask " << spec.TaskId() << " has args of size " << task_arg_bytes; - PinTaskArgs(spec, std::move(args)); - RAY_LOG(DEBUG) << "Size of pinned task args is now " << pinned_task_arguments_bytes_; - if (max_pinned_task_arguments_bytes_ == 0) { + RAY_LOG(DEBUG) << "RayLease " << lease_spec.LeaseId() << " has args of size " + << lease_arg_bytes; + PinLeaseArgs(lease_spec, std::move(args)); + RAY_LOG(DEBUG) << "Size of pinned task args is now " << pinned_lease_arguments_bytes_; + if (max_pinned_lease_arguments_bytes_ == 0) { // Max threshold for pinned args is not set. return true; } - if (task_arg_bytes > max_pinned_task_arguments_bytes_) { + if (lease_arg_bytes > max_pinned_lease_arguments_bytes_) { RAY_LOG(WARNING) - << "Dispatched task " << spec.TaskId() << " has arguments of size " - << task_arg_bytes - << ", but the max memory allowed for arguments of executing tasks is only " - << max_pinned_task_arguments_bytes_; - } else if (pinned_task_arguments_bytes_ > max_pinned_task_arguments_bytes_) { - ReleaseTaskArgs(spec.TaskId()); - RAY_LOG(DEBUG) << "Cannot dispatch task " << spec.TaskId() - << " with arguments of size " << task_arg_bytes - << " current pinned bytes is " << pinned_task_arguments_bytes_; + << "Granted lease " << lease_spec.LeaseId() << " has arguments of size " + << lease_arg_bytes + << ", but the max memory allowed for arguments of granted leases is only " + << max_pinned_lease_arguments_bytes_; + } else if (pinned_lease_arguments_bytes_ > max_pinned_lease_arguments_bytes_) { + ReleaseLeaseArgs(lease_spec.LeaseId()); + RAY_LOG(DEBUG) << "Cannot grant lease " << lease_spec.LeaseId() + << " with arguments of size " << lease_arg_bytes + << " current pinned bytes is " << pinned_lease_arguments_bytes_; return false; } return true; } -void LocalTaskManager::PinTaskArgs(const TaskSpecification &spec, - std::vector> args) { - const auto &deps = spec.GetDependencyIds(); +void LocalLeaseManager::PinLeaseArgs(const LeaseSpecification &lease_spec, + std::vector> args) { + const auto &deps = lease_spec.GetDependencyIds(); // TODO(swang): This should really be an assertion, but we can sometimes - // receive a duplicate task request if there is a failure and the original - // version of the task has not yet been canceled. - auto executed_task_inserted = executing_task_args_.emplace(spec.TaskId(), deps).second; - if (executed_task_inserted) { + // receive a duplicate lease request if there is a failure and the original + // version of the lease has not yet been canceled. + auto executed_lease_inserted = + granted_lease_args_.emplace(lease_spec.LeaseId(), deps).second; + if (executed_lease_inserted) { for (size_t i = 0; i < deps.size(); i++) { - auto [it, pinned_task_inserted] = - pinned_task_arguments_.emplace(deps[i], std::make_pair(std::move(args[i]), 0)); - if (pinned_task_inserted) { - // This is the first task that needed this argument. - pinned_task_arguments_bytes_ += it->second.first->GetSize(); + auto [it, pinned_lease_inserted] = + pinned_lease_arguments_.emplace(deps[i], std::make_pair(std::move(args[i]), 0)); + if (pinned_lease_inserted) { + // This is the first lease that needed this argument. + pinned_lease_arguments_bytes_ += it->second.first->GetSize(); } it->second.second++; } } else { - RAY_LOG(DEBUG) << "Scheduler received duplicate task " << spec.TaskId() + RAY_LOG(DEBUG) << "Scheduler received duplicate lease " << lease_spec.LeaseId() << ", most likely because the first execution failed"; } } -void LocalTaskManager::ReleaseTaskArgs(const TaskID &task_id) { - auto it = executing_task_args_.find(task_id); +void LocalLeaseManager::ReleaseLeaseArgs(const LeaseID &lease_id) { + auto it = granted_lease_args_.find(lease_id); // TODO(swang): This should really be an assertion, but we can sometimes - // receive a duplicate task request if there is a failure and the original - // version of the task has not yet been canceled. - if (it != executing_task_args_.end()) { + // receive a duplicate lease request if there is a failure and the original + // version of the lease has not yet been canceled. + if (it != granted_lease_args_.end()) { for (auto &arg : it->second) { - auto arg_it = pinned_task_arguments_.find(arg); - RAY_CHECK(arg_it != pinned_task_arguments_.end()); + auto arg_it = pinned_lease_arguments_.find(arg); + RAY_CHECK(arg_it != pinned_lease_arguments_.end()); RAY_CHECK(arg_it->second.second > 0); arg_it->second.second--; if (arg_it->second.second == 0) { - // This is the last task that needed this argument. - pinned_task_arguments_bytes_ -= arg_it->second.first->GetSize(); - pinned_task_arguments_.erase(arg_it); + // This is the last lease that needed this argument. + pinned_lease_arguments_bytes_ -= arg_it->second.first->GetSize(); + pinned_lease_arguments_.erase(arg_it); } } - executing_task_args_.erase(it); + granted_lease_args_.erase(it); } } @@ -848,31 +855,31 @@ void ReplyCancelled(const std::shared_ptr &work, } } // namespace -bool LocalTaskManager::CancelTasks( +bool LocalLeaseManager::CancelLeases( std::function &)> predicate, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { bool tasks_cancelled = false; ray::erase_if>( - tasks_to_dispatch_, [&](const std::shared_ptr &work) { + leases_to_grant_, [&](const std::shared_ptr &work) { if (!predicate(work)) { return false; } - CancelTaskToDispatch(work, failure_type, scheduling_failure_message); + CancelLeaseToGrant(work, failure_type, scheduling_failure_message); tasks_cancelled = true; return true; }); ray::erase_if>( - waiting_task_queue_, [&](const std::shared_ptr &work) { + waiting_lease_queue_, [&](const std::shared_ptr &work) { if (predicate(work)) { ReplyCancelled(work, failure_type, scheduling_failure_message); - if (!work->task_.GetTaskSpecification().GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies( - work->task_.GetTaskSpecification().TaskId()); + if (!work->lease_.GetLeaseSpecification().GetDependencies().empty()) { + lease_dependency_manager_.RemoveLeaseDependencies( + work->lease_.GetLeaseSpecification().LeaseId()); } - waiting_tasks_index_.erase(work->task_.GetTaskSpecification().TaskId()); + waiting_leases_index_.erase(work->lease_.GetLeaseSpecification().LeaseId()); tasks_cancelled = true; return true; } else { @@ -883,39 +890,39 @@ bool LocalTaskManager::CancelTasks( return tasks_cancelled; } -void LocalTaskManager::CancelTaskToDispatch( +void LocalLeaseManager::CancelLeaseToGrant( const std::shared_ptr &work, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - const TaskID task_id = work->task_.GetTaskSpecification().TaskId(); - RAY_LOG(DEBUG) << "Canceling task " << task_id << " from dispatch queue."; + const LeaseID lease_id = work->lease_.GetLeaseSpecification().LeaseId(); + RAY_LOG(DEBUG) << "Canceling lease " << lease_id << " from leases_to_grant_queue."; ReplyCancelled(work, failure_type, scheduling_failure_message); if (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER) { // We've already acquired resources so we need to release them. cluster_resource_scheduler_.GetLocalResourceManager().ReleaseWorkerResources( work->allocated_instances_); - // Release pinned task args. - ReleaseTaskArgs(task_id); + // Release pinned lease args. + ReleaseLeaseArgs(lease_id); } - if (!work->task_.GetTaskSpecification().GetDependencies().empty()) { - task_dependency_manager_.RemoveTaskDependencies( - work->task_.GetTaskSpecification().TaskId()); + if (!work->lease_.GetLeaseSpecification().GetDependencies().empty()) { + lease_dependency_manager_.RemoveLeaseDependencies( + work->lease_.GetLeaseSpecification().LeaseId()); } - RemoveFromRunningTasksIfExists(work->task_); + RemoveFromGrantedLeasesIfExists(work->lease_); work->SetStateCancelled(); } -const RayTask *LocalTaskManager::AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const { - const RayTask *exemplar = nullptr; - // We are guaranteed that these tasks are blocked waiting for resources after a - // call to ScheduleAndDispatchTasks(). They may be waiting for workers as well, but +const RayLease *LocalLeaseManager::AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const { + const RayLease *exemplar = nullptr; + // We are guaranteed that these leases are blocked waiting for resources after a + // call to ScheduleAndGrantLeases(). They may be waiting for workers as well, but // this should be a transient condition only. - for (const auto &shapes_it : tasks_to_dispatch_) { + for (const auto &shapes_it : leases_to_grant_) { auto &work_queue = shapes_it.second; for (const auto &work_it : work_queue) { const auto &work = *work_it; - const auto &task = work_it->task_; + const auto &lease = work_it->lease_; // If the work is not in the waiting state, it will be scheduled soon or won't be // scheduled. Consider as non-pending. @@ -934,36 +941,36 @@ const RayTask *LocalTaskManager::AnyPendingTasksForResourceAcquisition( continue; } - if (task.GetTaskSpecification().IsActorCreationTask()) { + if (lease.GetLeaseSpecification().IsActorCreationTask()) { *num_pending_actor_creation += 1; } else { - *num_pending_tasks += 1; + *num_pending_leases += 1; } if (exemplar == nullptr) { - exemplar = &task; + exemplar = &lease; } } } return exemplar; } -void LocalTaskManager::Dispatch( +void LocalLeaseManager::Grant( std::shared_ptr worker, absl::flat_hash_map> &leased_workers, const std::shared_ptr &allocated_instances, - const RayTask &task, + const RayLease &lease, rpc::RequestWorkerLeaseReply *reply, std::function send_reply_callback) { - const auto &task_spec = task.GetTaskSpecification(); + const auto &lease_spec = lease.GetLeaseSpecification(); - if (task_spec.IsActorCreationTask()) { + if (lease_spec.IsActorCreationTask()) { // The actor belongs to this worker now. worker->SetLifetimeAllocatedInstances(allocated_instances); } else { worker->SetAllocatedInstances(allocated_instances); } - worker->SetAssignedTask(task); + worker->GrantLease(lease); // Pass the contact info of the worker to use. reply->set_worker_pid(worker->GetProcess().GetId()); @@ -979,7 +986,7 @@ void LocalTaskManager::Dispatch( // Update our internal view of the cluster state. std::shared_ptr allocated_resources; - if (task_spec.IsActorCreationTask()) { + if (lease_spec.IsActorCreationTask()) { allocated_resources = worker->GetLifetimeAllocatedInstances(); } else { allocated_resources = worker->GetAllocatedInstances(); @@ -1006,7 +1013,7 @@ void LocalTaskManager::Dispatch( send_reply_callback(); } -void LocalTaskManager::ClearWorkerBacklog(const WorkerID &worker_id) { +void LocalLeaseManager::ClearWorkerBacklog(const WorkerID &worker_id) { for (auto it = backlog_tracker_.begin(); it != backlog_tracker_.end();) { it->second.erase(worker_id); if (it->second.empty()) { @@ -1017,9 +1024,9 @@ void LocalTaskManager::ClearWorkerBacklog(const WorkerID &worker_id) { } } -void LocalTaskManager::SetWorkerBacklog(SchedulingClass scheduling_class, - const WorkerID &worker_id, - int64_t backlog_size) { +void LocalLeaseManager::SetWorkerBacklog(SchedulingClass scheduling_class, + const WorkerID &worker_id, + int64_t backlog_size) { if (backlog_size == 0) { backlog_tracker_[scheduling_class].erase(worker_id); if (backlog_tracker_[scheduling_class].empty()) { @@ -1030,7 +1037,7 @@ void LocalTaskManager::SetWorkerBacklog(SchedulingClass scheduling_class, } } -void LocalTaskManager::ReleaseWorkerResources(std::shared_ptr worker) { +void LocalLeaseManager::ReleaseWorkerResources(std::shared_ptr worker) { RAY_CHECK(worker != nullptr); auto allocated_instances = worker->GetAllocatedInstances() ? worker->GetAllocatedInstances() @@ -1062,7 +1069,7 @@ void LocalTaskManager::ReleaseWorkerResources(std::shared_ptr w worker->ClearLifetimeAllocatedInstances(); } -bool LocalTaskManager::ReleaseCpuResourcesFromBlockedWorker( +bool LocalLeaseManager::ReleaseCpuResourcesFromBlockedWorker( std::shared_ptr worker) { if (!worker || worker->IsBlocked()) { return false; @@ -1091,7 +1098,7 @@ bool LocalTaskManager::ReleaseCpuResourcesFromBlockedWorker( } } -bool LocalTaskManager::ReturnCpuResourcesToUnblockedWorker( +bool LocalLeaseManager::ReturnCpuResourcesToUnblockedWorker( std::shared_ptr worker) { if (!worker || !worker->IsBlocked()) { return false; @@ -1123,18 +1130,17 @@ bool LocalTaskManager::ReturnCpuResourcesToUnblockedWorker( } } -ResourceSet LocalTaskManager::CalcNormalTaskResources() const { +ResourceSet LocalLeaseManager::CalcNormalTaskResources() const { ResourceSet total_normal_task_resources; for (auto &entry : leased_workers_) { std::shared_ptr worker = entry.second; - auto &task_spec = worker->GetAssignedTask().GetTaskSpecification(); - if (!task_spec.PlacementGroupBundleId().first.IsNil()) { + auto &lease_spec = worker->GetGrantedLease().GetLeaseSpecification(); + if (!lease_spec.PlacementGroupBundleId().first.IsNil()) { continue; } - auto task_id = worker->GetAssignedTaskId(); - auto actor_id = task_id.ActorId(); - if (!actor_id.IsNil() && task_id == TaskID::ForActorCreationTask(actor_id)) { + auto actor_id = worker->GetActorId(); + if (!actor_id.IsNil() && lease_spec.IsActorCreationTask()) { // This task ID corresponds to an actor creation task. continue; } @@ -1155,7 +1161,7 @@ ResourceSet LocalTaskManager::CalcNormalTaskResources() const { return total_normal_task_resources; } -uint64_t LocalTaskManager::MaxRunningTasksPerSchedulingClass( +uint64_t LocalLeaseManager::MaxGrantedLeasesPerSchedulingClass( SchedulingClass sched_cls_id) const { auto sched_cls = TaskSpecification::GetSchedulingClassDescriptor(sched_cls_id); double cpu_req = sched_cls.resource_set.Get(ResourceID::CPU()).Double(); @@ -1168,23 +1174,24 @@ uint64_t LocalTaskManager::MaxRunningTasksPerSchedulingClass( return static_cast(std::round(total_cpus / cpu_req)); } -void LocalTaskManager::RecordMetrics() const { - ray::stats::STATS_scheduler_tasks.Record(executing_task_args_.size(), "Executing"); - ray::stats::STATS_scheduler_tasks.Record(waiting_tasks_index_.size(), "Waiting"); +void LocalLeaseManager::RecordMetrics() const { + ray::stats::STATS_scheduler_tasks.Record(granted_lease_args_.size(), "Executing"); + ray::stats::STATS_scheduler_tasks.Record(waiting_leases_index_.size(), "Waiting"); } -void LocalTaskManager::DebugStr(std::stringstream &buffer) const { - buffer << "Waiting tasks size: " << waiting_tasks_index_.size() << "\n"; - buffer << "Number of executing tasks: " << executing_task_args_.size() << "\n"; - buffer << "Number of pinned task arguments: " << pinned_task_arguments_.size() << "\n"; - buffer << "Number of total spilled tasks: " << num_task_spilled_ << "\n"; - buffer << "Number of spilled waiting tasks: " << num_waiting_task_spilled_ << "\n"; - buffer << "Number of spilled unschedulable tasks: " << num_unschedulable_task_spilled_ +void LocalLeaseManager::DebugStr(std::stringstream &buffer) const { + buffer << "Waiting leases size: " << waiting_leases_index_.size() << "\n"; + buffer << "Number of granted lease arguments: " << granted_lease_args_.size() << "\n"; + buffer << "Number of pinned lease arguments: " << pinned_lease_arguments_.size() + << "\n"; + buffer << "Number of total spilled leases: " << num_lease_spilled_ << "\n"; + buffer << "Number of spilled waiting leases: " << num_waiting_lease_spilled_ << "\n"; + buffer << "Number of spilled unschedulable leases: " << num_unschedulable_lease_spilled_ << "\n"; buffer << "Resource usage {\n"; - // Calculates how much resources are occupied by tasks or actors. - // Only iterate upto this number to avoid excessive CPU usage. + // Calculates how much resources are occupied by leases. + // Only iterate up to this number to avoid excessive CPU usage. auto max_iteration = RayConfig::instance().worker_max_resource_analysis_iteration(); uint32_t iteration = 0; for (const auto &worker : worker_pool_.GetAllRegisteredWorkers( @@ -1194,24 +1201,26 @@ void LocalTaskManager::DebugStr(std::stringstream &buffer) const { } if (worker->IsDead() // worker is dead || worker->IsBlocked() // worker is blocked by blocking Ray API - || (worker->GetAssignedTaskId().IsNil() && - worker->GetActorId().IsNil())) { // Tasks or actors not assigned + || (worker->GetGrantedLeaseId().IsNil() && + worker->GetActorId().IsNil())) { // Lease not assigned + // TODO(#55923) probably don't need to above check for ActorId since LeaseId is not + // reset for actors either // Then this shouldn't have allocated resources. continue; } - const auto &task_or_actor_name = worker->GetAssignedTask() - .GetTaskSpecification() + const auto &task_or_actor_name = worker->GetGrantedLease() + .GetLeaseSpecification() .FunctionDescriptor() ->CallString(); buffer << " - (language=" << rpc::Language_descriptor()->FindValueByNumber(worker->GetLanguage())->name() << " " - << "actor_or_task=" << task_or_actor_name << " " + << "actor_or_task" << task_or_actor_name << " " << "pid=" << worker->GetProcess().GetId() << " " << "worker_id=" << worker->WorkerId() << "): " - << worker->GetAssignedTask() - .GetTaskSpecification() + << worker->GetGrantedLease() + .GetLeaseSpecification() .GetRequiredResources() .DebugString() << "\n"; @@ -1227,13 +1236,13 @@ void LocalTaskManager::DebugStr(std::stringstream &buffer) const { buffer << "\t}\n"; } buffer << "\n"; - buffer << "Running tasks by scheduling class:\n"; + buffer << "Granted leases by scheduling class:\n"; for (const auto &pair : info_by_sched_cls_) { const auto &sched_cls = pair.first; const auto &info = pair.second; const auto &descriptor = TaskSpecification::GetSchedulingClassDescriptor(sched_cls); - buffer << " - " << descriptor.DebugString() << ": " << info.running_tasks.size() + buffer << " - " << descriptor.DebugString() << ": " << info.granted_leases.size() << "/" << info.capacity << "\n"; } } diff --git a/src/ray/raylet/local_task_manager.h b/src/ray/raylet/local_lease_manager.h similarity index 53% rename from src/ray/raylet/local_task_manager.h rename to src/ray/raylet/local_lease_manager.h index ebba83089d23..65611c2c338e 100644 --- a/src/ray/raylet/local_task_manager.h +++ b/src/ray/raylet/local_lease_manager.h @@ -23,120 +23,122 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" +#include "ray/common/lease/lease.h" #include "ray/common/ray_object.h" -#include "ray/common/task/task.h" -#include "ray/raylet/dependency_manager.h" +#include "ray/raylet/lease_dependency_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/internal.h" -#include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/raylet/scheduling/local_lease_manager_interface.h" #include "ray/raylet/worker.h" #include "ray/raylet/worker_pool.h" namespace ray { namespace raylet { -/// Manages the lifetime of a task on the local node. It receives request from -/// cluster_task_manager (the distributed scheduler) and does the following +/// Manages the lifetime of a lease on the local node. It receives request from +/// cluster_lease_manager (the distributed scheduler) and does the following /// steps: -/// 1. Pulling task dependencies, add the task into waiting queue. -/// 2. Once task's dependencies are all pulled locally, the task be added into -/// dispatch queue. -/// 3. For all tasks in dispatch queue, we schedule them by first acquiring -/// local resources (including pinning the objects in memory and deduct -/// cpu/gpu and other resources from local reosource manager)) . -/// If a task failed to acquire resources in step 3, we will try to -/// spill it to an different remote node. -/// 4. If all resources are acquired, we start a worker and returns the worker +/// 1. Pulling lease dependencies, add the lease into waiting queue. +/// 2. Once lease's dependencies are all pulled locally, the lease is added into +/// the grant queue. +/// 3. For all leases in the grant queue, we schedule them by first acquiring +/// local resources (including pinning the objects in memory and deducting +/// cpu/gpu and other resources from the local resource manager). +/// If a lease failed to acquire resources in step 3, we will try to +/// spill it to a different remote node. +/// 4. If all resources are acquired, we start a worker and return the worker /// address to the client once worker starts up. /// 5. When a worker finishes executing its task(s), the requester will return -/// it and we should release the resources in our view of the node's state. -/// 6. If a task has been waiting for arguments for too long, it will also be +/// the lease and we should release the resources in our view of the node's state. +/// 6. If a lease has been waiting for arguments for too long, it will also be /// spilled back to a different node. /// /// TODO(scv119): ideally, the local scheduler shouldn't be responsible for spilling, /// as it should return the request to the distributed scheduler if -/// resource accusition failed, or a task has arguments pending resolution for too long +/// resource accusition failed, or a lease has arguments pending resolution for too long /// time. -class LocalTaskManager : public ILocalTaskManager { +class LocalLeaseManager : public LocalLeaseManagerInterface { public: + /// Create a local lease manager. /// \param self_node_id: ID of local node. /// \param cluster_resource_scheduler: The resource scheduler which contains /// the state of the cluster. - /// \param task_dependency_manager_ Used to fetch task's dependencies. + /// \param lease_dependency_manager_ Used to fetch lease's dependencies. /// \param get_node_info: Function that returns the node info for a node. /// \param worker_pool: A reference to the worker pool. /// \param leased_workers: A reference to the leased workers map. - /// \param get_task_arguments: A callback for getting a tasks' arguments by + /// \param get_lease_arguments: A callback for getting a leases' arguments by /// their ids. - /// \param max_pinned_task_arguments_bytes: The cap on pinned arguments. + /// \param max_pinned_lease_arguments_bytes: The cap on pinned arguments. /// \param get_time_ms: A callback which returns the current time in milliseconds. /// \param sched_cls_cap_interval_ms: The time before we increase the cap - /// on the number of tasks that can run per + /// on the number of leases that can run per /// scheduling class. If set to 0, there is no /// cap. If it's a large number, the cap is hard. - LocalTaskManager( + LocalLeaseManager( const NodeID &self_node_id, ClusterResourceScheduler &cluster_resource_scheduler, - TaskDependencyManagerInterface &task_dependency_manager, + LeaseDependencyManagerInterface &lease_dependency_manager, internal::NodeInfoGetter get_node_info, WorkerPoolInterface &worker_pool, absl::flat_hash_map> &leased_workers, std::function &object_ids, std::vector> *results)> - get_task_arguments, - size_t max_pinned_task_arguments_bytes, + get_lease_arguments, + size_t max_pinned_lease_arguments_bytes, std::function get_time_ms = []() { return static_cast(absl::GetCurrentTimeNanos() / 1e6); }, int64_t sched_cls_cap_interval_ms = RayConfig::instance().worker_cap_initial_backoff_delay_ms()); - /// Queue task and schedule. - void QueueAndScheduleTask(std::shared_ptr work) override; + /// Queue lease and schedule. + void QueueAndScheduleLease(std::shared_ptr work) override; - // Schedule and dispatch tasks. - void ScheduleAndDispatchTasks() override; + // Schedule and dispatch leases. + void ScheduleAndGrantLeases() override; - /// Move tasks from waiting to ready for dispatch. Called when a task's + /// Move leases from waiting to ready for dispatch. Called when a lease's /// dependencies are resolved. /// - /// \param ready_ids: The tasks which are now ready to be dispatched. - void TasksUnblocked(const std::vector &ready_ids) override; + /// \param ready_ids: The leases which are now ready to be granted. + void LeasesUnblocked(const std::vector &ready_ids) override; - /// Return the finished task and release the worker resources. + /// Cleanup the lease and release the worker resources. /// This method will be removed and can be replaced by `ReleaseWorkerResources` directly /// once we remove the legacy scheduler. /// - /// \param worker: The worker which was running the task. - /// \param task: Output parameter. - void TaskFinished(std::shared_ptr worker, RayTask *task) override; + /// \param worker: The worker which was granted the lease. + /// \param lease: Output parameter. + void CleanupLease(std::shared_ptr worker, RayLease *lease) override; - /// Attempt to cancel all queued tasks that match the predicate. + /// Attempt to cancel all queued leases that match the predicate. /// - /// \param predicate: A function that returns true if a task needs to be cancelled. + /// \param predicate: A function that returns true if a lease needs to be cancelled. /// \param failure_type: The reason for cancellation. /// \param scheduling_failure_message: The reason message for cancellation. - /// \return True if any task was successfully cancelled. - bool CancelTasks(std::function &)> predicate, - rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, - const std::string &scheduling_failure_message) override; + /// \return True if any lease was successfully cancelled. + bool CancelLeases( + std::function &)> predicate, + rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, + const std::string &scheduling_failure_message) override; - /// Return with an exemplar if any tasks are pending resource acquisition. + /// Return with an exemplar if any leases are pending resource acquisition. /// - /// \param[in,out] num_pending_actor_creation: Number of pending actor creation tasks. - /// \param[in,out] num_pending_tasks: Number of pending tasks. - /// \return An example task that is deadlocking if any tasks are pending resource + /// \param[in,out] num_pending_actor_creation: Number of pending actor creation leases. + /// \param[in,out] num_pending_leases: Number of pending leases. + /// \return An example lease that is deadlocking if any leases are pending resource /// acquisition. - const RayTask *AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const override; + const RayLease *AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const override; - /// Call once a task finishes (i.e. a worker is returned). + /// Call once a lease finishes (i.e. a worker is returned). /// - /// \param worker: The worker which was running the task. + /// \param worker: The worker which was granted the lease. void ReleaseWorkerResources(std::shared_ptr worker) override; - /// When a task is blocked in ray.get or ray.wait, the worker who is executing the task - /// should give up the CPU resources allocated for the running task for the time being - /// and the worker itself should also be marked as blocked. + /// When a lease is blocked in ray.get or ray.wait, the worker who is executing the + /// lease should give up the CPU resources allocated for the granted lease for the time + /// being and the worker itself should also be marked as blocked. /// /// \param worker: The worker who will give up the CPU resources. /// \return true if the cpu resources of the specified worker are released successfully, @@ -144,7 +146,7 @@ class LocalTaskManager : public ILocalTaskManager { bool ReleaseCpuResourcesFromBlockedWorker( std::shared_ptr worker) override; - /// When a task is no longer blocked in a ray.get or ray.wait, the CPU resources that + /// When a lease is no longer blocked in a ray.get or ray.wait, the CPU resources that /// the worker gave up should be returned to it. /// /// \param worker The blocked worker. @@ -165,8 +167,8 @@ class LocalTaskManager : public ILocalTaskManager { void ClearWorkerBacklog(const WorkerID &worker_id) override; const absl::flat_hash_map>> - &GetTaskToDispatch() const override { - return tasks_to_dispatch_; + &GetLeasesToGrant() const override { + return leases_to_grant_; } const absl::flat_hash_map> @@ -178,160 +180,162 @@ class LocalTaskManager : public ILocalTaskManager { void DebugStr(std::stringstream &buffer) const override; - size_t GetNumTaskSpilled() const override { return num_task_spilled_; } - size_t GetNumWaitingTaskSpilled() const override { return num_waiting_task_spilled_; } - size_t GetNumUnschedulableTaskSpilled() const override { - return num_unschedulable_task_spilled_; + size_t GetNumLeaseSpilled() const override { return num_lease_spilled_; } + size_t GetNumWaitingLeaseSpilled() const override { return num_waiting_lease_spilled_; } + size_t GetNumUnschedulableLeaseSpilled() const override { + return num_unschedulable_lease_spilled_; } private: struct SchedulingClassInfo; - void RemoveFromRunningTasksIfExists(const RayTask &task); + void RemoveFromGrantedLeasesIfExists(const RayLease &lease); /// Handle the popped worker from worker pool. bool PoppedWorkerHandler(const std::shared_ptr worker, PopWorkerStatus status, - const TaskID &task_id, + const LeaseID &lease_id, SchedulingClass scheduling_class, const std::shared_ptr &work, bool is_detached_actor, const rpc::Address &owner_address, const std::string &runtime_env_setup_error_message); - /// Cancels a task in tasks_to_dispatch_. Does not remove it from tasks_to_dispatch_. - void CancelTaskToDispatch( + /// Cancels a lease in leases_to_grant_. Does not remove it from leases_to_grant_. + void CancelLeaseToGrant( const std::shared_ptr &work, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = ""); - /// Attempts to dispatch all tasks which are ready to run. A task - /// will be dispatched if it is on `tasks_to_dispatch_` and there are still + /// Attempts to grant all leases which are ready to run. A lease + /// will be granted if it is on `leases_to_grant_` and there are still /// available resources on the node. /// - /// If there are not enough resources locally, up to one task per resource - /// shape (the task at the head of the queue) will get spilled back to a + /// If there are not enough resources locally, up to one lease per resource + /// shape (the lease at the head of the queue) will get spilled back to a /// different node. - void DispatchScheduledTasksToWorkers(); + void GrantScheduledLeasesToWorkers(); /// Helper method when the current node does not have the available resources to run a - /// task. + /// lease. /// - /// \returns true if the task was spilled. The task may not be spilled if the + /// \returns true if the lease was spilled. The lease may not be spilled if the /// spillback policy specifies the local node (which may happen if no other nodes have /// the requested resources available). bool TrySpillback(const std::shared_ptr &work, bool &is_infeasible); - // Try to spill waiting tasks to a remote node, starting from the end of the + // Try to spill waiting leases to a remote node, starting from the end of the // queue. - void SpillWaitingTasks(); + void SpillWaitingLeases(); - /// Calculate the maximum number of running tasks for a given scheduling + /// Calculate the maximum number of granted leases for a given scheduling /// class. https://github.com/ray-project/ray/issues/16973 /// /// \param sched_cls_id The scheduling class in question. /// \returns The maximum number instances of that scheduling class that - /// should be running (or blocked) at once. - uint64_t MaxRunningTasksPerSchedulingClass(SchedulingClass sched_cls_id) const; + /// should be granted (or blocked) at once. + uint64_t MaxGrantedLeasesPerSchedulingClass(SchedulingClass sched_cls_id) const; /// Recompute the debug stats. - /// It is needed because updating the debug state is expensive for cluster_task_manager. + /// It is needed because updating the debug state is expensive for + /// cluster_lease_manager. /// TODO(sang): Update the internal states value dynamically instead of iterating the /// data structure. void RecomputeDebugStats() const; - void Dispatch( + void Grant( std::shared_ptr worker, absl::flat_hash_map> &leased_workers_, const std::shared_ptr &allocated_instances, - const RayTask &task, + const RayLease &lease, rpc::RequestWorkerLeaseReply *reply, std::function send_reply_callback); void Spillback(const NodeID &spillback_to, const std::shared_ptr &work); - // Helper function to pin a task's args immediately before dispatch. This + // Helper function to pin a lease's args immediately before being granted. This // returns false if there are missing args (due to eviction) or if there is - // not enough memory available to dispatch the task, due to other executing - // tasks' arguments. - bool PinTaskArgsIfMemoryAvailable(const TaskSpecification &spec, bool *args_missing); + // not enough memory available to grant the lease, due to other granted + // leases' arguments. + bool PinLeaseArgsIfMemoryAvailable(const LeaseSpecification &lease_spec, + bool *args_missing); - // Helper functions to pin and release an executing task's args. - void PinTaskArgs(const TaskSpecification &spec, - std::vector> args); - void ReleaseTaskArgs(const TaskID &task_id); + // Helper functions to pin and release a granted lease's args. + void PinLeaseArgs(const LeaseSpecification &lease_spec, + std::vector> args); + void ReleaseLeaseArgs(const LeaseID &lease_id); private: - /// Determine whether a task should be immediately dispatched, + /// Determine whether a lease should be immediately granted, /// or placed on a wait queue. - void WaitForTaskArgsRequests(std::shared_ptr work); + void WaitForLeaseArgsRequests(std::shared_ptr work); const NodeID &self_node_id_; const scheduling::NodeID self_scheduling_node_id_; /// Responsible for resource tracking/view of the cluster. ClusterResourceScheduler &cluster_resource_scheduler_; - /// Class to make task dependencies to be local. - TaskDependencyManagerInterface &task_dependency_manager_; + /// Class to make lease dependencies to be local. + LeaseDependencyManagerInterface &lease_dependency_manager_; /// Function to get the node information of a given node id. internal::NodeInfoGetter get_node_info_; const int max_resource_shapes_per_load_report_; - /// Tracking information about the currently running tasks in a scheduling - /// class. This information is used to place a cap on the number of running - /// running tasks per scheduling class. + /// Tracking information about the currently granted leases in a scheduling + /// class. This information is used to place a cap on the number of + /// granted leases per scheduling class. struct SchedulingClassInfo { explicit SchedulingClassInfo(int64_t cap) : capacity(cap), next_update_time(std::numeric_limits::max()) {} - /// Track the running task ids in this scheduling class. + /// Track the granted lease ids in this scheduling class. /// - /// TODO(hjiang): Store cgroup manager along with task id as the value for map. - absl::flat_hash_set running_tasks; - /// The total number of tasks that can run from this scheduling class. + /// TODO(hjiang): Store cgroup manager along with lease id as the value for map. + absl::flat_hash_set granted_leases; + /// The total number of leases that can run from this scheduling class. uint64_t capacity; - /// The next time that a new task of this scheduling class may be dispatched. + /// The next time that a new lease of this scheduling class may be dispatched. int64_t next_update_time; }; - /// Mapping from scheduling class to information about the running tasks of + /// Mapping from scheduling class to information about the granted leases of /// the scheduling class. See `struct SchedulingClassInfo` above for more /// details about what information is tracked. absl::flat_hash_map info_by_sched_cls_; /// Queue of lease requests that should be scheduled onto workers. - /// Tasks move from scheduled | waiting -> dispatch. - /// Tasks can also move from dispatch -> waiting if one of their arguments is + /// Leases move from scheduled | waiting -> granting. + /// Leases can also move from granting -> waiting if one of their arguments is /// evicted. - /// All tasks in this map that have dependencies should be registered with - /// the dependency manager, in case a dependency gets evicted while the task + /// All leases in this map that have dependencies should be registered with + /// the dependency manager, in case a dependency gets evicted while the lease /// is still queued. /// Note that if a queue exists, it should be guaranteed to be non-empty. absl::flat_hash_map>> - tasks_to_dispatch_; + leases_to_grant_; - /// Tasks waiting for arguments to be transferred locally. - /// Tasks move from waiting -> dispatch. - /// Tasks can also move from dispatch -> waiting if one of their arguments is + /// Leases waiting for arguments to be transferred locally. + /// Leases move from waiting -> granting. + /// Leases can also move from granting -> waiting if one of their arguments is /// evicted. - /// All tasks in this map that have dependencies should be registered with - /// the dependency manager, so that they can be moved to dispatch once their + /// All leases in this map that have dependencies should be registered with + /// the dependency manager, so that they can be moved to granting once their /// dependencies are local. - /// - /// We keep these in a queue so that tasks can be spilled back from the end - /// of the queue. This is to try to prioritize spilling tasks whose + + /// We keep these in a queue so that leases can be spilled back from the end + /// of the queue. This is to try to prioritize spilling leases whose /// dependencies may not be fetched locally yet. - /// - /// Note that because tasks can also move from dispatch -> waiting, the order + + /// Note that because leases can also move from grant -> waiting, the order /// in this queue may not match the order in which we initially received the - /// tasks. This also means that the PullManager may request dependencies for - /// these tasks in a different order than the waiting task queue. + /// leases. This also means that the PullManager may request dependencies for + /// these leases in a different order than the waiting lease queue. /// Note that if a queue exists, it should be guaranteed to be non-empty. - std::list> waiting_task_queue_; + std::list> waiting_lease_queue_; /// An index for the above queue. - absl::flat_hash_map>::iterator> - waiting_tasks_index_; + absl::flat_hash_map>::iterator> + waiting_leases_index_; /// Track the backlog of all workers belonging to this raylet. absl::flat_hash_map> @@ -342,30 +346,29 @@ class LocalTaskManager : public ILocalTaskManager { WorkerPoolInterface &worker_pool_; absl::flat_hash_map> &leased_workers_; - /// Callback to get references to task arguments. These will be pinned while - /// the task is running. + /// Callback to get references to lease arguments. These will be pinned while + /// the lease is granted. std::function &object_ids, std::vector> *results)> - get_task_arguments_; + get_lease_arguments_; - /// Arguments needed by currently granted lease requests. These should be - /// pinned before the lease is granted to ensure that the arguments are not - /// evicted before the task(s) start running. - absl::flat_hash_map> executing_task_args_; + /// Arguments needed by currently granted leases. These should be pinned before + /// the lease is granted to ensure that the arguments are not evicted. + absl::flat_hash_map> granted_lease_args_; - /// All arguments of running tasks, which are also pinned in the object - /// store. The value is a pair: (the pointer to the object store that should - /// be deleted once the object is no longer needed, number of tasks that - /// depend on the object). + /// All arguments of granted leases, which are also pinned in the object store. + /// The value is a pair: (the pointer to the object store that should be deleted + /// once the object is no longer needed, number of leases that depend on the + /// object). absl::flat_hash_map, size_t>> - pinned_task_arguments_; + pinned_lease_arguments_; - /// The total number of arguments pinned for running tasks. + /// The total number of arguments pinned for granted leases. /// Used for debug purposes. - size_t pinned_task_arguments_bytes_ = 0; + size_t pinned_lease_arguments_bytes_ = 0; - /// The maximum amount of bytes that can be used by executing task arguments. - size_t max_pinned_task_arguments_bytes_; + /// The maximum amount of bytes that can be used by granted lease arguments. + size_t max_pinned_lease_arguments_bytes_; /// Returns the current time in milliseconds. std::function get_time_ms_; @@ -378,16 +381,16 @@ class LocalTaskManager : public ILocalTaskManager { const int64_t sched_cls_cap_max_ms_; - size_t num_task_spilled_ = 0; - size_t num_waiting_task_spilled_ = 0; - size_t num_unschedulable_task_spilled_ = 0; + size_t num_lease_spilled_ = 0; + size_t num_waiting_lease_spilled_ = 0; + size_t num_unschedulable_lease_spilled_ = 0; friend class SchedulerResourceReporter; - friend class ClusterTaskManagerTest; + friend class ClusterLeaseManagerTest; friend class SchedulerStats; - friend class LocalTaskManagerTest; - FRIEND_TEST(ClusterTaskManagerTest, FeasibleToNonFeasible); - FRIEND_TEST(LocalTaskManagerTest, TestTaskDispatchingOrder); + friend class LocalLeaseManagerTest; + FRIEND_TEST(ClusterLeaseManagerTest, FeasibleToNonFeasible); + FRIEND_TEST(LocalLeaseManagerTest, TestLeaseGrantingOrder); }; } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 4ce139301327..bc886a851236 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -26,9 +26,9 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/cgroup/cgroup_manager.h" #include "ray/common/id.h" +#include "ray/common/lease/lease.h" #include "ray/common/ray_config.h" #include "ray/common/status.h" -#include "ray/common/task/task_common.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager.h" @@ -43,7 +43,7 @@ #include "ray/util/stream_redirection_options.h" #include "ray/util/subreaper.h" #include "ray/util/time.h" -#include "scheduling/cluster_task_manager.h" +#include "scheduling/cluster_lease_manager.h" using json = nlohmann::json; @@ -269,11 +269,11 @@ int main(int argc, char *argv[]) { std::unique_ptr local_object_manager; /// These classes make up the new scheduler. ClusterResourceScheduler is /// responsible for maintaining a view of the cluster state w.r.t resource - /// usage. ClusterTaskManager is responsible for queuing, spilling back, and - /// dispatching tasks. + /// usage. ClusterLeaseManager is responsible for queuing, spilling back, and + /// granting leases. std::unique_ptr cluster_resource_scheduler; - std::unique_ptr local_task_manager; - std::unique_ptr cluster_task_manager; + std::unique_ptr local_lease_manager; + std::unique_ptr cluster_lease_manager; /// The raylet client to initiate the pubsub to core workers (owners). /// It is used to subscribe objects to evict. std::unique_ptr core_worker_subscriber; @@ -282,13 +282,13 @@ int main(int argc, char *argv[]) { std::unique_ptr object_directory; /// Manages client requests for object transfers and availability. std::unique_ptr object_manager; - /// A manager to resolve objects needed by queued tasks and workers that + /// A manager to resolve objects needed by queued leases and workers that /// called `ray.get` or `ray.wait`. - std::unique_ptr dependency_manager; + std::unique_ptr lease_dependency_manager; /// The client to export metrics to the metrics agent. std::unique_ptr metrics_agent_client; /// Map of workers leased out to clients. - absl::flat_hash_map> + absl::flat_hash_map> leased_workers; // Enable subreaper. This is called in `AsyncGetInternalConfig` below, but MSVC does @@ -511,12 +511,12 @@ int main(int argc, char *argv[]) { return node_manager_config.num_workers_soft_limit; } // If no limit is provided, use the available number of CPUs, - // assuming that each incoming task will likely require 1 CPU. + // assuming that each incoming lease will likely require 1 CPU. // We floor the available CPUs to the nearest integer to avoid // starting too many workers when there is less than 1 CPU left. // Otherwise, we could end up repeatedly starting the worker, then // killing it because it idles for too long. The downside is that - // we will be slower to schedule tasks that could use a fraction + // we will be slower to schedule leases that could use a fraction // of a CPU. return static_cast( cluster_resource_scheduler->GetLocalResourceManager() @@ -531,7 +531,7 @@ int main(int argc, char *argv[]) { node_manager_config.worker_commands, node_manager_config.native_library_path, /*starting_worker_timeout_callback=*/ - [&] { cluster_task_manager->ScheduleAndDispatchTasks(); }, + [&] { cluster_lease_manager->ScheduleAndGrantLeases(); }, node_manager_config.ray_debugger_external, /*get_time=*/[]() { return absl::Now(); }, node_manager_config.enable_resource_isolation); @@ -669,8 +669,8 @@ int main(int argc, char *argv[]) { /*core_worker_subscriber_=*/core_worker_subscriber.get(), object_directory.get()); - dependency_manager = - std::make_unique(*object_manager); + lease_dependency_manager = + std::make_unique(*object_manager); cluster_resource_scheduler = std::make_unique( main_service, @@ -704,31 +704,31 @@ int main(int argc, char *argv[]) { auto get_node_info_func = [&](const NodeID &id) { return gcs_client->Nodes().Get(id); }; - auto announce_infeasible_task = [](const ray::RayTask &task) { - /// Publish the infeasible task error to GCS so that drivers can subscribe to it + auto announce_infeasible_lease = [](const ray::RayLease &lease) { + /// Publish the infeasible lease error to GCS so that drivers can subscribe to it /// and print. bool suppress_warning = false; - if (!task.GetTaskSpecification().PlacementGroupBundleId().first.IsNil()) { - // If the task is part of a placement group, do nothing. If necessary, the + if (!lease.GetLeaseSpecification().PlacementGroupBundleId().first.IsNil()) { + // If the lease is part of a placement group, do nothing. If necessary, the // infeasible warning should come from the placement group scheduling, not the - // task scheduling. + // lease scheduling. suppress_warning = true; } - // Push a warning to the task's driver that this task is currently infeasible. + // Push a warning to the lease's driver that this lease is currently infeasible. if (!suppress_warning) { std::ostringstream error_message; error_message - << "The actor or task with ID " << task.GetTaskSpecification().TaskId() + << "The lease with ID " << lease.GetLeaseSpecification().LeaseId() << " cannot be scheduled right now. It requires " - << task.GetTaskSpecification().GetRequiredPlacementResources().DebugString() + << lease.GetLeaseSpecification().GetRequiredPlacementResources().DebugString() << " for placement, however the cluster currently cannot provide the " "requested " "resources. The required resources may be added as autoscaling takes " "place " "or placement groups are scheduled. Otherwise, consider reducing the " - "resource requirements of the task."; + "resource requirements of the lease."; std::string error_message_str = error_message.str(); RAY_LOG(WARNING) << error_message_str; } @@ -751,10 +751,10 @@ int main(int argc, char *argv[]) { max_task_args_memory = 0; } - local_task_manager = std::make_unique( + local_lease_manager = std::make_unique( raylet_node_id, *cluster_resource_scheduler, - *dependency_manager, + *lease_dependency_manager, get_node_info_func, *worker_pool, leased_workers, @@ -764,12 +764,12 @@ int main(int argc, char *argv[]) { }, max_task_args_memory); - cluster_task_manager = - std::make_unique(raylet_node_id, - *cluster_resource_scheduler, - get_node_info_func, - announce_infeasible_task, - *local_task_manager); + cluster_lease_manager = + std::make_unique(raylet_node_id, + *cluster_resource_scheduler, + get_node_info_func, + announce_infeasible_lease, + *local_lease_manager); auto raylet_client_factory = [&](const NodeID &id) { const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(id); @@ -791,12 +791,12 @@ int main(int argc, char *argv[]) { *raylet_client_pool, *core_worker_subscriber, *cluster_resource_scheduler, - *local_task_manager, - *cluster_task_manager, + *local_lease_manager, + *cluster_lease_manager, *object_directory, *object_manager, *local_object_manager, - *dependency_manager, + *lease_dependency_manager, *worker_pool, leased_workers, *plasma_client, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 0806b072b696..6a958c060631 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -34,17 +34,16 @@ #include "ray/common/common_protocol.h" #include "ray/common/constants.h" #include "ray/common/grpc_util.h" +#include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" -#include "ray/common/task/task_common.h" -#include "ray/common/task/task_spec.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/gcs/pb_util.h" #include "ray/ipc/client_connection.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/node_manager/node_manager_client.h" @@ -121,12 +120,12 @@ NodeManager::NodeManager( rpc::RayletClientPool &raylet_client_pool, pubsub::SubscriberInterface &core_worker_subscriber, ClusterResourceScheduler &cluster_resource_scheduler, - ILocalTaskManager &local_task_manager, - ClusterTaskManagerInterface &cluster_task_manager, + LocalLeaseManagerInterface &local_lease_manager, + ClusterLeaseManagerInterface &cluster_lease_manager, IObjectDirectory &object_directory, ObjectManagerInterface &object_manager, LocalObjectManagerInterface &local_object_manager, - DependencyManager &dependency_manager, + LeaseDependencyManager &lease_dependency_manager, WorkerPoolInterface &worker_pool, absl::flat_hash_map> &leased_workers, plasma::PlasmaClientInterface &store_client, @@ -150,10 +149,10 @@ NodeManager::NodeManager( periodical_runner_(PeriodicalRunner::Create(io_service)), report_resources_period_ms_(config.report_resources_period_ms), initial_config_(config), - dependency_manager_(dependency_manager), + lease_dependency_manager_(lease_dependency_manager), wait_manager_(/*is_object_local*/ [this](const ObjectID &object_id) { - return dependency_manager_.CheckObjectLocal(object_id); + return lease_dependency_manager_.CheckObjectLocal(object_id); }, /*delay_executor*/ [this](std::function fn, int64_t delay_ms) { @@ -171,8 +170,8 @@ NodeManager::NodeManager( global_gc_throttler_(RayConfig::instance().global_gc_min_interval_s() * 1e9), local_gc_interval_ns_(RayConfig::instance().local_gc_interval_s() * 1e9), cluster_resource_scheduler_(cluster_resource_scheduler), - local_task_manager_(local_task_manager), - cluster_task_manager_(cluster_task_manager), + local_lease_manager_(local_lease_manager), + cluster_lease_manager_(cluster_lease_manager), record_metrics_period_ms_(config.record_metrics_period_ms), next_resource_seq_no_(0), ray_syncer_(io_service_, self_node_id_.Binary()), @@ -190,9 +189,9 @@ NodeManager::NodeManager( std::make_unique(cluster_resource_scheduler_); periodical_runner_->RunFnPeriodically( - [this]() { cluster_task_manager_.ScheduleAndDispatchTasks(); }, + [this]() { cluster_lease_manager_.ScheduleAndGrantLeases(); }, RayConfig::instance().worker_cap_initial_backoff_delay_ms(), - "NodeManager.ScheduleAndDispatchTasks"); + "NodeManager.ScheduleAndGrantLeases"); periodical_runner_->RunFnPeriodically( [this]() { CheckForUnexpectedWorkerDisconnects(); }, @@ -227,7 +226,7 @@ NodeManager::NodeManager( worker_pool_.SetRuntimeEnvAgentClient(std::move(runtime_env_agent_client)); worker_pool_.Start(); - periodical_runner_->RunFnPeriodically([this]() { GCTaskFailureReason(); }, + periodical_runner_->RunFnPeriodically([this]() { GCWorkerFailureReason(); }, RayConfig::instance().task_failure_entry_ttl_ms(), "NodeManager.GCTaskFailureReason"); } @@ -409,10 +408,10 @@ void NodeManager::HandleJobStarted(const JobID &job_id, const JobTableData &job_ << " is dead: " << job_data.is_dead() << " driver address: " << job_data.driver_address().ip_address(); worker_pool_.HandleJobStarted(job_id, job_data.config()); - // Tasks of this job may already arrived but failed to pop a worker because the job - // config is not local yet. So we trigger dispatching again here to try to - // reschedule these tasks. - cluster_task_manager_.ScheduleAndDispatchTasks(); + // Leases of this job may already arrived but failed to pop a worker because the job + // config is not local yet. So we trigger granting again here to try to + // reschedule these leases. + cluster_lease_manager_.ScheduleAndGrantLeases(); } void NodeManager::HandleJobFinished(const JobID &job_id, const JobTableData &job_data) { @@ -515,10 +514,10 @@ void NodeManager::HandleReleaseUnusedBundles(rpc::ReleaseUnusedBundlesRequest re // Cancel lease requests that are waiting for workers // to free the acquired pg bundle resources // so that pg bundle can be returned. - local_task_manager_.CancelTasks( + local_lease_manager_.CancelLeases( [&](const std::shared_ptr &work) { const auto bundle_id = - work->task_.GetTaskSpecification().PlacementGroupBundleId(); + work->lease_.GetLeaseSpecification().PlacementGroupBundleId(); return !bundle_id.first.IsNil() && (0 == in_use_bundles.count(bundle_id)) && (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER); }, @@ -544,7 +543,7 @@ void NodeManager::HandleReleaseUnusedBundles(rpc::ReleaseUnusedBundlesRequest re for (const auto &worker : workers_associated_with_unused_bundles) { RAY_LOG(DEBUG) .WithField(worker->GetBundleId().first) - .WithField(worker->GetAssignedTaskId()) + .WithField(worker->GetGrantedLeaseId()) .WithField(worker->GetActorId()) .WithField(worker->WorkerId()) << "Destroying worker since its bundle was unused, bundle index: " @@ -596,21 +595,23 @@ void NodeManager::HandleGetObjectsInfo(rpc::GetObjectsInfoRequest request, /*on_all_replied*/ [total, reply]() { reply->set_total(*total); }); } -void NodeManager::HandleGetTaskFailureCause(rpc::GetTaskFailureCauseRequest request, - rpc::GetTaskFailureCauseReply *reply, - rpc::SendReplyCallback send_reply_callback) { - const TaskID task_id = TaskID::FromBinary(request.task_id()); - RAY_LOG(DEBUG) << "Received a HandleGetTaskFailureCause request for task " << task_id; +void NodeManager::HandleGetWorkerFailureCause( + rpc::GetWorkerFailureCauseRequest request, + rpc::GetWorkerFailureCauseReply *reply, + rpc::SendReplyCallback send_reply_callback) { + const LeaseID lease_id = LeaseID::FromBinary(request.lease_id()); + RAY_LOG(DEBUG) << "Received a HandleGetWorkerFailureCause request for lease " + << lease_id; - auto it = task_failure_reasons_.find(task_id); - if (it != task_failure_reasons_.end()) { - RAY_LOG(DEBUG) << "task " << task_id << " has failure reason " + auto it = worker_failure_reasons_.find(lease_id); + if (it != worker_failure_reasons_.end()) { + RAY_LOG(DEBUG) << "lease " << lease_id << " has failure reason " << ray::gcs::RayErrorInfoToString(it->second.ray_error_info_) << ", fail immediately: " << !it->second.should_retry_; reply->mutable_failure_cause()->CopyFrom(it->second.ray_error_info_); reply->set_fail_task_immediately(!it->second.should_retry_); } else { - RAY_LOG(INFO) << "didn't find failure cause for task " << task_id; + RAY_LOG(INFO) << "didn't find failure cause for lease " << lease_id; } send_reply_callback(Status::OK(), nullptr, nullptr); @@ -710,31 +711,31 @@ void NodeManager::QueryAllWorkerStates( // This warns users that there could be the resource deadlock. It works this way; // - If there's no available workers for scheduling -// - But if there are still pending tasks waiting for resource acquisition +// - But if there are still pending leases waiting for resource acquisition // It means the cluster might not have enough resources to be in progress. // Note that this can print the false negative messages // e.g., there are many actors taking up resources for a long time. void NodeManager::WarnResourceDeadlock() { int pending_actor_creations = 0; - int pending_tasks = 0; + int pending_leases = 0; // Check if any progress is being made on this raylet. if (worker_pool_.IsWorkerAvailableForScheduling()) { - // Progress is being made in a task, don't warn. + // Progress is being made in a lease, don't warn. resource_deadlock_warned_ = 0; return; } - auto exemplar = cluster_task_manager_.AnyPendingTasksForResourceAcquisition( - &pending_actor_creations, &pending_tasks); - // Check if any tasks are blocked on resource acquisition. + auto exemplar = cluster_lease_manager_.AnyPendingLeasesForResourceAcquisition( + &pending_actor_creations, &pending_leases); + // Check if any leases are blocked on resource acquisition. if (exemplar == nullptr) { - // No pending tasks, no need to warn. + // No pending leases, no need to warn. resource_deadlock_warned_ = 0; return; } - // Push an warning to the driver that a task is blocked trying to acquire resources. + // Push an warning to the driver that a lease is blocked trying to acquire resources. // To avoid spurious triggers, only take action starting with the second time. // case resource_deadlock_warned_: 0 => first time, don't do anything yet // case resource_deadlock_warned_: 1 => second time, print a warning @@ -750,26 +751,26 @@ void NodeManager::WarnResourceDeadlock() { } RAY_LOG(WARNING) - << "The actor or task with ID " << exemplar->GetTaskSpecification().TaskId() + << "The lease with ID " << exemplar->GetLeaseSpecification().LeaseId() << " cannot be scheduled right now. You can ignore this message if this " << "Ray cluster is expected to auto-scale or if you specified a " - << "runtime_env for this actor or task, which may take time to install. " + << "runtime_env for this actor or lease, which may take time to install. " << "Otherwise, this is likely due to all cluster resources being claimed " << "by actors. To resolve the issue, consider creating fewer actors or " << "increasing the resources available to this Ray cluster.\n" - << "Required resources for this actor or task: " - << exemplar->GetTaskSpecification().GetRequiredPlacementResources().DebugString() + << "Required resources for this lease: " + << exemplar->GetLeaseSpecification().GetRequiredPlacementResources().DebugString() << "\n" << "Available resources on this node: " << cluster_resource_scheduler_.GetClusterResourceManager() .GetNodeResourceViewString(scheduling::NodeID(self_node_id_.Binary())) - << " In total there are " << pending_tasks << " pending tasks and " + << " In total there are " << pending_leases << " pending leases and " << pending_actor_creations << " pending actors on this node."; - RAY_LOG_EVERY_MS(WARNING, 10 * 1000) << cluster_task_manager_.DebugStr(); + RAY_LOG_EVERY_MS(WARNING, 10 * 1000) << cluster_lease_manager_.DebugStr(); } - // Try scheduling tasks. Without this, if there's no more tasks coming in, deadlocked - // tasks are never be scheduled. - cluster_task_manager_.ScheduleAndDispatchTasks(); + // Try scheduling leases. Without this, if there's no more leases coming in, deadlocked + // leases are never be scheduled. + cluster_lease_manager_.ScheduleAndGrantLeases(); } void NodeManager::NodeAdded(const GcsNodeInfo &node_info) { @@ -819,7 +820,7 @@ void NodeManager::NodeRemoved(const NodeID &node_id) { failed_nodes_cache_.insert(node_id); - cluster_task_manager_.CancelAllTasksOwnedBy(node_id); + cluster_lease_manager_.CancelAllLeasesOwnedBy(node_id); // Clean up workers that were owned by processes that were on the failed // node. @@ -863,7 +864,7 @@ void NodeManager::HandleUnexpectedWorkerFailure(const WorkerID &worker_id) { RAY_LOG(DEBUG).WithField(worker_id) << "Worker failed"; failed_workers_cache_.insert(worker_id); - cluster_task_manager_.CancelAllTasksOwnedBy(worker_id); + cluster_lease_manager_.CancelAllLeasesOwnedBy(worker_id); for (const auto &[_, worker] : leased_workers_) { const auto owner_worker_id = @@ -1143,10 +1144,10 @@ Status NodeManager::RegisterForNewWorker( Status status = worker_pool_.RegisterWorker(worker, pid, worker_startup_token, send_reply_callback); if (!status.ok()) { - // If the worker failed to register to Raylet, trigger task dispatching here to + // If the worker failed to register to Raylet, trigger lease granting here to // allow new worker processes to be started (if capped by // maximum_startup_concurrency). - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } return status; } @@ -1158,11 +1159,13 @@ Status NodeManager::RegisterForNewDriver( const ray::protocol::RegisterClientRequest *message, std::function send_reply_callback) { worker->SetProcess(Process::FromPid(pid)); - // Compute a dummy driver task id from a given driver. - // The task id set in the worker here should be consistent with the task + // Compute a dummy driver lease id from a given driver. + // The lease id set in the worker here should be consistent with the lease // id set in the core worker. - const TaskID driver_task_id = TaskID::ForDriverTask(job_id); - worker->AssignTaskId(driver_task_id); + // TODO(#56010): We shouldn't need to have a special lease id for the driver, just check + // the worker type instead + const LeaseID driver_lease_id = LeaseID::DriverLeaseId(worker->WorkerId()); + worker->GrantLeaseId(driver_lease_id); rpc::JobConfig job_config; job_config.ParseFromString(message->serialized_job_config()->str()); @@ -1262,9 +1265,9 @@ void NodeManager::HandleWorkerAvailable(const std::shared_ptr & bool worker_idle = true; - // If the worker was assigned a task, mark it as finished. - if (!worker->GetAssignedTaskId().IsNil()) { - worker_idle = FinishAssignedTask(worker); + // If the worker was granted a lease, clean up any lease resources and state + if (!worker->GetGrantedLeaseId().IsNil()) { + worker_idle = CleanupLease(worker); } if (worker_idle) { @@ -1272,7 +1275,7 @@ void NodeManager::HandleWorkerAvailable(const std::shared_ptr & worker_pool_.PushWorker(worker); } - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } void SendDisconnectClientReply(const WorkerID &worker_id, @@ -1324,8 +1327,8 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie RAY_CHECK(worker != nullptr); RAY_CHECK(!(is_worker && is_driver)); // Clean up any open ray.get or ray.wait calls that the worker made. - dependency_manager_.CancelGetRequest(worker->WorkerId()); - dependency_manager_.CancelWaitRequest(worker->WorkerId()); + lease_dependency_manager_.CancelGetRequest(worker->WorkerId()); + lease_dependency_manager_.CancelWaitRequest(worker->WorkerId()); // Erase any lease metadata. ReleaseWorker(worker->WorkerId()); @@ -1349,15 +1352,15 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie if (is_worker) { const ActorID &actor_id = worker->GetActorId(); - const TaskID &task_id = worker->GetAssignedTaskId(); - // If the worker was running a task or actor, clean up the task and push an + const LeaseID &lease_id = worker->GetGrantedLeaseId(); + // If the worker was granted a lease, clean up the lease and push an // error to the driver, unless the worker is already dead. - if ((!task_id.IsNil() || !actor_id.IsNil()) && !worker->IsDead()) { + if ((!lease_id.IsNil() || !actor_id.IsNil()) && !worker->IsDead()) { // If the worker was an actor, it'll be cleaned by GCS. if (actor_id.IsNil()) { // Return the resources that were being used by this worker. - RayTask task; - local_task_manager_.TaskFinished(worker, &task); + RayLease lease; + local_lease_manager_.CleanupLease(worker, &lease); } if (disconnect_type == rpc::WorkerExitType::SYSTEM_ERROR) { @@ -1370,8 +1373,7 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie "unexpected system " "error. To troubleshoot the problem, check the logs for the " "dead worker." - << " RayTask ID: " << task_id - << " Worker ID: " << worker->WorkerId() + << " Lease ID: " << lease_id << " Worker ID: " << worker->WorkerId() << " Node ID: " << self_node_id_ << " Worker IP address: " << worker->IpAddress() << " Worker port: " << worker->Port() @@ -1395,10 +1397,10 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie worker_pool_.DisconnectWorker(worker, disconnect_type); // Return the resources that were being used by this worker. - local_task_manager_.ReleaseWorkerResources(worker); + local_lease_manager_.ReleaseWorkerResources(worker); - // Since some resources may have been released, we can try to dispatch more tasks. - cluster_task_manager_.ScheduleAndDispatchTasks(); + // Since some resources may have been released, we can try to grant more leases. + cluster_lease_manager_.ScheduleAndGrantLeases(); } else if (is_driver) { // The client is a driver. const auto job_id = worker->GetAssignedJobId(); @@ -1419,8 +1421,8 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie } } - local_task_manager_.ClearWorkerBacklog(worker->WorkerId()); - cluster_task_manager_.CancelAllTasksOwnedBy(worker->WorkerId()); + local_lease_manager_.ClearWorkerBacklog(worker->WorkerId()); + cluster_lease_manager_.CancelAllLeasesOwnedBy(worker->WorkerId()); if (graceful) { // Graceful disconnects are initiated by a request from the worker and @@ -1477,7 +1479,7 @@ void NodeManager::ProcessWaitRequestMessage( bool all_objects_local = true; for (auto const &object_id : object_ids) { - if (!dependency_manager_.CheckObjectLocal(object_id)) { + if (!lease_dependency_manager_.CheckObjectLocal(object_id)) { all_objects_local = false; } } @@ -1592,13 +1594,13 @@ void NodeManager::HandleGetResourceLoad(rpc::GetResourceLoadRequest request, auto resources_data = reply->mutable_resources(); resources_data->set_node_id(self_node_id_.Binary()); resources_data->set_node_manager_address(initial_config_.node_manager_address); - cluster_task_manager_.FillResourceUsage(*resources_data); + cluster_lease_manager_.FillResourceUsage(*resources_data); send_reply_callback(Status::OK(), nullptr, nullptr); } -void NodeManager::HandleCancelTasksWithResourceShapes( - rpc::CancelTasksWithResourceShapesRequest request, - rpc::CancelTasksWithResourceShapesReply *reply, +void NodeManager::HandleCancelLeasesWithResourceShapes( + rpc::CancelLeasesWithResourceShapesRequest request, + rpc::CancelLeasesWithResourceShapesReply *reply, rpc::SendReplyCallback send_reply_callback) { const auto &resource_shapes = request.resource_shapes(); std::vector target_resource_shapes; @@ -1607,7 +1609,7 @@ void NodeManager::HandleCancelTasksWithResourceShapes( ResourceSet(MapFromProtobuf(resource_shape.resource_shape()))); } - cluster_task_manager_.CancelTasksWithResourceShapes(target_resource_shapes); + cluster_lease_manager_.CancelLeasesWithResourceShapes(target_resource_shapes); send_reply_callback(Status::OK(), nullptr, nullptr); } @@ -1615,14 +1617,15 @@ void NodeManager::HandleReportWorkerBacklog(rpc::ReportWorkerBacklogRequest requ rpc::ReportWorkerBacklogReply *reply, rpc::SendReplyCallback send_reply_callback) { HandleReportWorkerBacklog( - request, reply, send_reply_callback, worker_pool_, local_task_manager_); + request, reply, send_reply_callback, worker_pool_, local_lease_manager_); } -void NodeManager::HandleReportWorkerBacklog(rpc::ReportWorkerBacklogRequest request, - rpc::ReportWorkerBacklogReply *reply, - rpc::SendReplyCallback send_reply_callback, - WorkerPoolInterface &worker_pool, - ILocalTaskManager &local_task_manager) { +void NodeManager::HandleReportWorkerBacklog( + rpc::ReportWorkerBacklogRequest request, + rpc::ReportWorkerBacklogReply *reply, + rpc::SendReplyCallback send_reply_callback, + WorkerPoolInterface &worker_pool, + LocalLeaseManagerInterface &local_lease_manager) { const WorkerID worker_id = WorkerID::FromBinary(request.worker_id()); if (worker_pool.GetRegisteredWorker(worker_id) == nullptr && worker_pool.GetRegisteredDriver(worker_id) == nullptr) { @@ -1631,13 +1634,13 @@ void NodeManager::HandleReportWorkerBacklog(rpc::ReportWorkerBacklogRequest requ return; } - local_task_manager.ClearWorkerBacklog(worker_id); + local_lease_manager.ClearWorkerBacklog(worker_id); std::unordered_set seen; for (const auto &backlog_report : request.backlog_reports()) { - const TaskSpecification resource_spec(backlog_report.resource_spec()); - const SchedulingClass scheduling_class = resource_spec.GetSchedulingClass(); + const LeaseSpecification lease_spec(backlog_report.lease_spec()); + const SchedulingClass scheduling_class = lease_spec.GetSchedulingClass(); RAY_CHECK(seen.find(scheduling_class) == seen.end()); - local_task_manager.SetWorkerBacklog( + local_lease_manager.SetWorkerBacklog( scheduling_class, worker_id, backlog_report.backlog_size()); } send_reply_callback(Status::OK(), nullptr, nullptr); @@ -1646,13 +1649,12 @@ void NodeManager::HandleReportWorkerBacklog(rpc::ReportWorkerBacklogRequest requ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest request, rpc::RequestWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) { - RayTask task{std::move(*request.mutable_resource_spec())}; - + RayLease lease{std::move(*request.mutable_lease_spec())}; const auto caller_worker = - WorkerID::FromBinary(task.GetTaskSpecification().CallerAddress().worker_id()); + WorkerID::FromBinary(lease.GetLeaseSpecification().CallerAddress().worker_id()); const auto caller_node = - NodeID::FromBinary(task.GetTaskSpecification().CallerAddress().node_id()); - if (!task.GetTaskSpecification().IsDetachedActor() && + NodeID::FromBinary(lease.GetLeaseSpecification().CallerAddress().node_id()); + if (!lease.GetLeaseSpecification().IsDetachedActor() && (failed_workers_cache_.contains(caller_worker) || failed_nodes_cache_.contains(caller_node))) { RAY_LOG(INFO).WithField(caller_worker).WithField(caller_node) @@ -1665,16 +1667,16 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques return; }; - const bool is_actor_creation_task = task.GetTaskSpecification().IsActorCreationTask(); + const bool is_actor_creation_task = lease.GetLeaseSpecification().IsActorCreationTask(); ActorID actor_id = ActorID::Nil(); metrics_num_task_scheduled_ += 1; if (is_actor_creation_task) { - actor_id = task.GetTaskSpecification().ActorCreationId(); + actor_id = lease.GetLeaseSpecification().ActorId(); } - const auto &task_spec = task.GetTaskSpecification(); - worker_pool_.PrestartWorkers(task_spec, request.backlog_size()); + const auto &lease_spec = lease.GetLeaseSpecification(); + worker_pool_.PrestartWorkers(lease_spec, request.backlog_size()); auto send_reply_callback_wrapper = [this, is_actor_creation_task, actor_id, reply, send_reply_callback]( @@ -1687,7 +1689,7 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques // with normal task resource usages so GCS can fast update // its resource view of this raylet. if (RayConfig::instance().gcs_actor_scheduling_enabled()) { - auto normal_task_resources = local_task_manager_.CalcNormalTaskResources(); + auto normal_task_resources = local_lease_manager_.CalcNormalTaskResources(); RAY_LOG(DEBUG).WithField(actor_id) << "Reject leasing as the raylet has no enough resources. " "normal_task_resources = " @@ -1706,11 +1708,11 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques send_reply_callback(status, success, failure); }; - cluster_task_manager_.QueueAndScheduleTask(std::move(task), - request.grant_or_reject(), - request.is_selected_based_on_locality(), - reply, - std::move(send_reply_callback_wrapper)); + cluster_lease_manager_.QueueAndScheduleLease(std::move(lease), + request.grant_or_reject(), + request.is_selected_based_on_locality(), + reply, + std::move(send_reply_callback_wrapper)); } void NodeManager::HandlePrestartWorkers(rpc::PrestartWorkersRequest request, @@ -1776,7 +1778,7 @@ void NodeManager::HandleCommitBundleResources( placement_group_resource_manager_->CommitBundles(bundle_specs); send_reply_callback(Status::OK(), nullptr, nullptr); - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } void NodeManager::HandleCancelResourceReserve( @@ -1788,13 +1790,13 @@ void NodeManager::HandleCancelResourceReserve( << bundle_spec.DebugString(); // The PG bundle resource must be committed before a lease request asking for it - // can be added to local_task_manager and the only reason why we cancel + // can be added to local_lease_manager and the only reason why we cancel // a committed bundle is when the placement group is removed. // In the case of placement group removal, we should cancel all the lease requests. - local_task_manager_.CancelTasks( + local_lease_manager_.CancelLeases( [&](const std::shared_ptr &work) { const auto bundle_id = - work->task_.GetTaskSpecification().PlacementGroupBundleId(); + work->lease_.GetLeaseSpecification().PlacementGroupBundleId(); return bundle_id.first == bundle_spec.PlacementGroupId(); }, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_PLACEMENT_GROUP_REMOVED, @@ -1819,7 +1821,7 @@ void NodeManager::HandleCancelResourceReserve( << "Destroying worker since its placement group was removed. Placement group id: " << worker->GetBundleId().first << ", bundle index: " << bundle_spec.BundleId().second - << ", task id: " << worker->GetAssignedTaskId() + << ", lease id: " << worker->GetGrantedLeaseId() << ", actor id: " << worker->GetActorId() << ", worker id: " << worker->WorkerId(); const auto &message = stream.str(); @@ -1828,7 +1830,7 @@ void NodeManager::HandleCancelResourceReserve( } RAY_CHECK_OK(placement_group_resource_manager_->ReturnBundle(bundle_spec)); - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); send_reply_callback(Status::OK(), nullptr, nullptr); } @@ -1919,7 +1921,7 @@ void NodeManager::HandleResizeLocalResourceInstances( << debug_string(updated_total_map); RAY_LOG(INFO) << "Available resources: " << debug_string(updated_available_map); // Trigger scheduling to account for the new resources - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } // Populate the reply with the current resource state @@ -1929,16 +1931,15 @@ void NodeManager::HandleResizeLocalResourceInstances( send_reply_callback(Status::OK(), nullptr, nullptr); } -void NodeManager::HandleReturnWorker(rpc::ReturnWorkerRequest request, - rpc::ReturnWorkerReply *reply, - rpc::SendReplyCallback send_reply_callback) { +void NodeManager::HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, + rpc::ReturnWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) { // Read the resource spec submitted by the client. auto worker_id = WorkerID::FromBinary(request.worker_id()); std::shared_ptr worker = leased_workers_[worker_id]; Status status; ReleaseWorker(worker_id); - if (worker) { if (request.disconnect_worker()) { // The worker should be destroyed. @@ -1955,7 +1956,7 @@ void NodeManager::HandleReturnWorker(rpc::ReturnWorkerRequest request, // unblock RPC by unblocking it immediately (unblock is idempotent). HandleDirectCallTaskUnblocked(worker); } - local_task_manager_.ReleaseWorkerResources(worker); + local_lease_manager_.ReleaseWorkerResources(worker); // If the worker is exiting, don't add it to our pool. The worker will cleanup // and terminate itself. if (!request.worker_exiting()) { @@ -2048,7 +2049,8 @@ void NodeManager::HandleReleaseUnusedActorWorkers( std::vector> unused_actor_workers; for (auto &iter : leased_workers_) { // We only kill *actor* workers. - if (!iter.second->GetActorId().IsNil() && !in_use_worker_ids.count(iter.first)) { + if (!iter.second->GetActorId().IsNil() && + !in_use_worker_ids.count(iter.second->WorkerId())) { unused_actor_workers.push_back(iter.second); } } @@ -2067,8 +2069,8 @@ void NodeManager::HandleReleaseUnusedActorWorkers( void NodeManager::HandleCancelWorkerLease(rpc::CancelWorkerLeaseRequest request, rpc::CancelWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) { - const TaskID task_id = TaskID::FromBinary(request.task_id()); - bool canceled = cluster_task_manager_.CancelTask(task_id); + const LeaseID lease_id = LeaseID::FromBinary(request.lease_id()); + bool canceled = cluster_lease_manager_.CancelLease(lease_id); // The task cancellation failed if we did not have the task queued, since // this means that we may not have received the task request yet. It is // successful if we did have the task queued, since we have now replied to @@ -2122,27 +2124,27 @@ void NodeManager::MarkObjectsAsFailed( void NodeManager::HandleDirectCallTaskBlocked( const std::shared_ptr &worker) { - if (!worker || worker->IsBlocked() || worker->GetAssignedTaskId().IsNil()) { + if (!worker || worker->IsBlocked() || worker->GetGrantedLeaseId().IsNil()) { return; // The worker may have died or is no longer processing the task. } - local_task_manager_.ReleaseCpuResourcesFromBlockedWorker(worker); - cluster_task_manager_.ScheduleAndDispatchTasks(); + local_lease_manager_.ReleaseCpuResourcesFromBlockedWorker(worker); + cluster_lease_manager_.ScheduleAndGrantLeases(); } void NodeManager::HandleDirectCallTaskUnblocked( const std::shared_ptr &worker) { - if (!worker || worker->GetAssignedTaskId().IsNil()) { + if (!worker || worker->GetGrantedLeaseId().IsNil()) { return; // The worker may have died or is no longer processing the task. } // First, always release task dependencies. This ensures we don't leak resources even // if we don't need to unblock the worker below. - dependency_manager_.CancelGetRequest(worker->WorkerId()); + lease_dependency_manager_.CancelGetRequest(worker->WorkerId()); if (worker->IsBlocked()) { - local_task_manager_.ReturnCpuResourcesToUnblockedWorker(worker); - cluster_task_manager_.ScheduleAndDispatchTasks(); + local_lease_manager_.ReturnCpuResourcesToUnblockedWorker(worker); + cluster_lease_manager_.ScheduleAndGrantLeases(); } } @@ -2158,9 +2160,9 @@ void NodeManager::AsyncGetOrWait(const std::shared_ptr &client // Start an async request to get or wait for the objects. // The objects will be fetched locally unless the get or wait request is canceled. if (is_get_request) { - dependency_manager_.StartOrUpdateGetRequest(worker->WorkerId(), object_refs); + lease_dependency_manager_.StartOrUpdateGetRequest(worker->WorkerId(), object_refs); } else { - dependency_manager_.StartOrUpdateWaitRequest(worker->WorkerId(), object_refs); + lease_dependency_manager_.StartOrUpdateWaitRequest(worker->WorkerId(), object_refs); } } @@ -2171,52 +2173,48 @@ void NodeManager::CancelGetRequest(const std::shared_ptr &clie } RAY_CHECK(worker); - dependency_manager_.CancelGetRequest(worker->WorkerId()); + lease_dependency_manager_.CancelGetRequest(worker->WorkerId()); } -bool NodeManager::FinishAssignedTask(const std::shared_ptr &worker) { - TaskID task_id = worker->GetAssignedTaskId(); - RAY_LOG(DEBUG).WithField(task_id) << "Finished task "; +bool NodeManager::CleanupLease(const std::shared_ptr &worker) { + LeaseID lease_id = worker->GetGrantedLeaseId(); + RAY_LOG(DEBUG).WithField(lease_id) << "Cleaning up lease "; - RayTask task; - local_task_manager_.TaskFinished(worker, &task); + RayLease lease; + local_lease_manager_.CleanupLease(worker, &lease); - const auto &spec = task.GetTaskSpecification(); // - if ((spec.IsActorCreationTask())) { - // If this was an actor or actor creation task, handle the actor's new - // state. - FinishAssignedActorCreationTask(worker, task); + const auto &lease_spec = lease.GetLeaseSpecification(); + if ((lease_spec.IsActorCreationTask())) { + // If this was an actor or actor creation task, convert the worker to an actor. + ConvertWorkerToActor(worker, lease); } else { - // If this was a non-actor task, then cancel any ray.wait calls that were - // made during the task execution. - dependency_manager_.CancelWaitRequest(worker->WorkerId()); + // If this was a non-actor lease, cancel any ray.wait calls that were + // made during the lease execution. + lease_dependency_manager_.CancelWaitRequest(worker->WorkerId()); } - // Notify the task dependency manager that this task has finished execution. - dependency_manager_.CancelGetRequest(worker->WorkerId()); + // Notify the lease dependency manager that this lease has returned. + lease_dependency_manager_.CancelGetRequest(worker->WorkerId()); - if (!spec.IsActorCreationTask()) { - // Unset the worker's assigned task. We keep the assigned task ID for - // actor creation calls because this ID is used later if the actor - // requires objects from plasma. - worker->AssignTaskId(TaskID::Nil()); + if (!lease_spec.IsActorCreationTask()) { + worker->GrantLeaseId(LeaseID::Nil()); worker->SetOwnerAddress(rpc::Address()); } // Actors will be assigned tasks via the core worker and therefore are not idle. - return !spec.IsActorCreationTask(); + return !lease_spec.IsActorCreationTask(); } -void NodeManager::FinishAssignedActorCreationTask( - const std::shared_ptr &worker, const RayTask &task) { - RAY_LOG(DEBUG) << "Finishing assigned actor creation task"; - const TaskSpecification task_spec = task.GetTaskSpecification(); - ActorID actor_id = task_spec.ActorCreationId(); +void NodeManager::ConvertWorkerToActor(const std::shared_ptr &worker, + const RayLease &lease) { + RAY_LOG(DEBUG) << "Converting worker to actor"; + const LeaseSpecification lease_spec = lease.GetLeaseSpecification(); + ActorID actor_id = lease_spec.ActorId(); // This was an actor creation task. Convert the worker to an actor. worker->AssignActorId(actor_id); - if (task_spec.IsDetachedActor()) { - auto job_id = task.GetTaskSpecification().JobId(); + if (lease_spec.IsDetachedActor()) { + auto job_id = lease_spec.JobId(); auto job_config = worker_pool_.GetJobConfig(job_id); RAY_CHECK(job_config); } @@ -2242,10 +2240,10 @@ void NodeManager::SpillIfOverPrimaryObjectsThreshold() { void NodeManager::HandleObjectLocal(const ObjectInfo &object_info) { const ObjectID &object_id = object_info.object_id; // Notify the task dependency manager that this object is local. - const auto ready_task_ids = dependency_manager_.HandleObjectLocal(object_id); + const auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(object_id); RAY_LOG(DEBUG).WithField(object_id).WithField(self_node_id_) - << "Object local on node, " << ready_task_ids.size() << " tasks ready"; - local_task_manager_.TasksUnblocked(ready_task_ids); + << "Object local on node, " << ready_lease_ids.size() << " tasks ready"; + local_lease_manager_.LeasesUnblocked(ready_lease_ids); // Notify the wait manager that this object is local. wait_manager_.HandleObjectLocal(object_id); @@ -2276,27 +2274,17 @@ void NodeManager::HandleObjectLocal(const ObjectInfo &object_info) { SpillIfOverPrimaryObjectsThreshold(); } -bool NodeManager::IsActorCreationTask(const TaskID &task_id) { - auto actor_id = task_id.ActorId(); - if (!actor_id.IsNil() && task_id == TaskID::ForActorCreationTask(actor_id)) { - // This task ID corresponds to an actor creation task. - return true; - } - - return false; -} - void NodeManager::HandleObjectMissing(const ObjectID &object_id) { - // Notify the task dependency manager that this object is no longer local. - const auto waiting_task_ids = dependency_manager_.HandleObjectMissing(object_id); + // Notify the lease dependency manager that this object is no longer local. + const auto waiting_lease_ids = lease_dependency_manager_.HandleObjectMissing(object_id); std::stringstream result; result << "Object missing " << object_id << ", " - << " on " << self_node_id_ << ", " << waiting_task_ids.size() - << " tasks waiting"; - if (waiting_task_ids.size() > 0) { - result << ", tasks: "; - for (const auto &task_id : waiting_task_ids) { - result << task_id << " "; + << " on " << self_node_id_ << ", " << waiting_lease_ids.size() + << " leases waiting"; + if (waiting_lease_ids.size() > 0) { + result << ", leases: "; + for (const auto &lease_id : waiting_lease_ids) { + result << lease_id << " "; } } RAY_LOG(DEBUG) << result.str(); @@ -2315,7 +2303,7 @@ void NodeManager::ProcessSubscribePlasmaReady( auto message = flatbuffers::GetRoot(message_data); auto id = from_flatbuf(*message->object_id()); - if (dependency_manager_.CheckObjectLocal(id)) { + if (lease_dependency_manager_.CheckObjectLocal(id)) { // Object is already local, so we directly fire the callback to tell the core worker // that the plasma object is ready. rpc::PlasmaObjectReadyRequest request; @@ -2342,7 +2330,8 @@ void NodeManager::ProcessSubscribePlasmaReady( // is local at this time but when the core worker was notified, the object is // is evicted. The core worker should be able to handle evicted object in this // case. - dependency_manager_.StartOrUpdateWaitRequest(associated_worker->WorkerId(), refs); + lease_dependency_manager_.StartOrUpdateWaitRequest(associated_worker->WorkerId(), + refs); // Add this worker to the listeners for the object ID. { @@ -2369,14 +2358,14 @@ std::string NodeManager::DebugString() const { result << "\nNode ID: " << self_node_id_; result << "\nNode name: " << self_node_name_; result << "\nInitialConfigResources: " << initial_config_.resource_config.DebugString(); - result << "\nClusterTaskManager:\n"; - result << cluster_task_manager_.DebugStr(); + result << "\nClusterLeaseManager:\n"; + result << cluster_lease_manager_.DebugStr(); result << "\nClusterResources:"; result << "\n" << local_object_manager_.DebugString(); result << "\n" << object_manager_.DebugString(); result << "\n" << gcs_client_.DebugString(); result << "\n" << worker_pool_.DebugString(); - result << "\n" << dependency_manager_.DebugString(); + result << "\n" << lease_dependency_manager_.DebugString(); result << "\n" << wait_manager_.DebugString(); result << "\n" << core_worker_subscriber_.DebugString(); { @@ -2748,7 +2737,7 @@ void NodeManager::RecordMetrics() { return; } - cluster_task_manager_.RecordMetrics(); + cluster_lease_manager_.RecordMetrics(); object_manager_.RecordMetrics(); local_object_manager_.RecordMetrics(); @@ -2756,7 +2745,7 @@ void NodeManager::RecordMetrics() { uint64_t duration_ms = current_time - last_metrics_recorded_at_ms_; last_metrics_recorded_at_ms_ = current_time; object_directory_.RecordMetrics(duration_ms); - dependency_manager_.RecordMetrics(); + lease_dependency_manager_.RecordMetrics(); } void NodeManager::ConsumeSyncMessage( @@ -2777,7 +2766,7 @@ void NodeManager::ConsumeSyncMessage( const bool capacity_updated = ResourceCreateUpdated(node_id, resources); const bool usage_update = UpdateResourceUsage(node_id, resource_view_sync_message); if (capacity_updated || usage_update) { - cluster_task_manager_.ScheduleAndDispatchTasks(); + cluster_lease_manager_.ScheduleAndGrantLeases(); } } else if (message->message_type() == syncer::MessageType::COMMANDS) { syncer::CommandsSyncMessage commands_sync_message; @@ -2821,7 +2810,7 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { if (!high_memory_eviction_target_->GetProcess().IsAlive()) { RAY_LOG(INFO) .WithField(high_memory_eviction_target_->WorkerId()) - .WithField(high_memory_eviction_target_->GetAssignedTaskId()) + .WithField(high_memory_eviction_target_->GetGrantedLeaseId()) << "Worker evicted and process killed to reclaim memory. " << "worker pid: " << high_memory_eviction_target_->GetProcess().GetId(); high_memory_eviction_target_ = nullptr; @@ -2830,7 +2819,7 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { if (is_usage_above_threshold) { if (high_memory_eviction_target_ != nullptr) { RAY_LOG_EVERY_MS(INFO, 1000) - .WithField(high_memory_eviction_target_->GetAssignedTaskId()) + .WithField(high_memory_eviction_target_->GetGrantedLeaseId()) .WithField(high_memory_eviction_target_->WorkerId()) << "Memory usage above threshold. " << "Still waiting for worker eviction to free up memory. " @@ -2863,7 +2852,7 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { RAY_LOG(INFO) << "Killing worker with task " - << worker_to_kill->GetAssignedTask().GetTaskSpecification().DebugString() + << worker_to_kill->GetGrantedLease().GetLeaseSpecification().DebugString() << "\n\n" << oom_kill_details << "\n\n" << oom_kill_suggestions; @@ -2878,13 +2867,13 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { // Rerpot the event to the dashboard. RAY_EVENT_EVERY_MS(ERROR, "Out of Memory", 10 * 1000) << worker_exit_message; - // Mark the task as failure and raise an exception from a caller. - rpc::RayErrorInfo task_failure_reason; - task_failure_reason.set_error_message(worker_exit_message); - task_failure_reason.set_error_type(rpc::ErrorType::OUT_OF_MEMORY); - SetTaskFailureReason(worker_to_kill->GetAssignedTaskId(), - std::move(task_failure_reason), - should_retry); + // Mark the worker as failure and raise an exception from a caller. + rpc::RayErrorInfo worker_failure_reason; + worker_failure_reason.set_error_message(worker_exit_message); + worker_failure_reason.set_error_type(rpc::ErrorType::OUT_OF_MEMORY); + SetWorkerFailureReason(worker_to_kill->GetGrantedLeaseId(), + std::move(worker_failure_reason), + should_retry); /// since we print the process memory in the message. Destroy should be called /// as soon as possible to free up memory. @@ -2898,17 +2887,17 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { ray::stats::STATS_memory_manager_worker_eviction_total.Record( 1, {{"Type", "MemoryManager.DriverEviction.Total"}, {"Name", ""}}); } else if (worker_to_kill->GetActorId().IsNil()) { - const auto &ray_task = worker_to_kill->GetAssignedTask(); + const auto &ray_lease = worker_to_kill->GetGrantedLease(); ray::stats::STATS_memory_manager_worker_eviction_total.Record( 1, {{"Type", "MemoryManager.TaskEviction.Total"}, - {"Name", ray_task.GetTaskSpecification().GetName()}}); + {"Name", ray_lease.GetLeaseSpecification().GetTaskName()}}); } else { - const auto &ray_task = worker_to_kill->GetAssignedTask(); + const auto &ray_lease = worker_to_kill->GetGrantedLease(); ray::stats::STATS_memory_manager_worker_eviction_total.Record( 1, {{"Type", "MemoryManager.ActorEviction.Total"}, - {"Name", ray_task.GetTaskSpecification().GetName()}}); + {"Name", ray_lease.GetLeaseSpecification().GetTaskName()}}); } } } @@ -2944,8 +2933,8 @@ const std::string NodeManager::CreateOomKillMessageDetails( oom_kill_details_ss << "Memory on the node (IP: " << worker->IpAddress() << ", ID: " << node_id - << ") where the task (" << worker->GetTaskOrActorIdAsDebugString() - << ", name=" << worker->GetAssignedTask().GetTaskSpecification().GetName() + << ") where the lease (" << worker->GetLeaseIdAsDebugString() + << ", name=" << worker->GetGrantedLease().GetLeaseSpecification().GetTaskName() << ", pid=" << worker->GetProcess().GetId() << ", memory used=" << process_used_bytes_gb << "GB) was running was " << used_bytes_gb << "GB / " << total_bytes_gb << "GB (" << usage_fraction @@ -2964,9 +2953,9 @@ const std::string NodeManager::CreateOomKillMessageDetails( const std::string NodeManager::CreateOomKillMessageSuggestions( const std::shared_ptr &worker, bool should_retry) const { std::stringstream not_retriable_recommendation_ss; - if (worker && !worker->GetAssignedTask().GetTaskSpecification().IsRetriable()) { + if (worker && !worker->GetGrantedLease().GetLeaseSpecification().IsRetriable()) { not_retriable_recommendation_ss << "Set "; - if (worker->GetAssignedTask().GetTaskSpecification().IsNormalTask()) { + if (worker->GetGrantedLease().GetLeaseSpecification().IsNormalTask()) { not_retriable_recommendation_ss << "max_retries"; } else { not_retriable_recommendation_ss << "max_restarts and max_task_retries"; @@ -2994,29 +2983,29 @@ const std::string NodeManager::CreateOomKillMessageSuggestions( return oom_kill_suggestions_ss.str(); } -void NodeManager::SetTaskFailureReason(const TaskID &task_id, - const rpc::RayErrorInfo &failure_reason, - bool should_retry) { - RAY_LOG(DEBUG).WithField(task_id) << "set failure reason for task "; +void NodeManager::SetWorkerFailureReason(const LeaseID &lease_id, + const rpc::RayErrorInfo &failure_reason, + bool should_retry) { + RAY_LOG(DEBUG).WithField(lease_id) << "set failure reason for lease "; ray::TaskFailureEntry entry(failure_reason, should_retry); - auto result = task_failure_reasons_.emplace(task_id, std::move(entry)); + auto result = worker_failure_reasons_.emplace(lease_id, std::move(entry)); if (!result.second) { - RAY_LOG(WARNING).WithField(task_id) + RAY_LOG(WARNING).WithField(lease_id) << "Trying to insert failure reason more than once for the same " - "task, the previous failure will be removed."; + "worker, the previous failure will be removed."; } } -void NodeManager::GCTaskFailureReason() { - for (const auto &entry : task_failure_reasons_) { +void NodeManager::GCWorkerFailureReason() { + for (const auto &entry : worker_failure_reasons_) { auto duration = static_cast( std::chrono::duration_cast( std::chrono::steady_clock::now() - entry.second.creation_time_) .count()); if (duration > RayConfig::instance().task_failure_entry_ttl_ms()) { RAY_LOG(INFO).WithField(entry.first) - << "Removing task failure reason since it expired"; - task_failure_reasons_.erase(entry.first); + << "Removing worker failure reason since it expired"; + worker_failure_reasons_.erase(entry.first); } } } diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 2727f0d3d4a0..0344677df99e 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -24,11 +24,11 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_spec.h" #include "ray/common/id.h" +#include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" #include "ray/common/ray_object.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/common/scheduling/resource_set.h" -#include "ray/common/task/task.h" #include "ray/common/task/task_util.h" #include "ray/core_worker/experimental_mutable_object_provider.h" #include "ray/flatbuffers/node_manager_generated.h" @@ -38,13 +38,13 @@ #include "ray/object_manager/plasma/client.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet/agent_manager.h" -#include "ray/raylet/dependency_manager.h" +#include "ray/raylet/lease_dependency_manager.h" +#include "ray/raylet/local_lease_manager.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/local_task_manager.h" #include "ray/raylet/placement_group_resource_manager.h" #include "ray/raylet/runtime_env_agent_client.h" +#include "ray/raylet/scheduling/cluster_lease_manager_interface.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet/scheduling/cluster_task_manager_interface.h" #include "ray/raylet/wait_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" @@ -143,12 +143,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::RayletClientPool &raylet_client_pool, pubsub::SubscriberInterface &core_worker_subscriber, ClusterResourceScheduler &cluster_resource_scheduler, - ILocalTaskManager &local_task_manager, - ClusterTaskManagerInterface &cluster_task_manager, + LocalLeaseManagerInterface &local_lease_manager, + ClusterLeaseManagerInterface &cluster_lease_manager, IObjectDirectory &object_directory, ObjectManagerInterface &object_manager, LocalObjectManagerInterface &local_object_manager, - DependencyManager &dependency_manager, + LeaseDependencyManager &lease_dependency_manager, WorkerPoolInterface &worker_pool, absl::flat_hash_map> &leased_workers, plasma::PlasmaClientInterface &store_client, @@ -359,18 +359,18 @@ class NodeManager : public rpc::NodeManagerServiceHandler, const NodeID &id, const syncer::ResourceViewSyncMessage &resource_view_sync_message); - /// Handle a worker finishing its assigned task. + /// Cleanup any lease resources and state for a worker that was granted a lease. /// - /// \param worker The worker that finished the task. + /// \param worker The worker that was granted the lease. /// \return Whether the worker should be returned to the idle pool. This is /// only false for actor creation calls, which should never be returned to idle. - bool FinishAssignedTask(const std::shared_ptr &worker); + bool CleanupLease(const std::shared_ptr &worker); - /// Handle a worker finishing an assigned actor creation task. - /// \param worker The worker that finished the task. - /// \param task The actor task or actor creation task. - void FinishAssignedActorCreationTask(const std::shared_ptr &worker, - const RayTask &task); + /// Convert a worker to an actor since it's finished an actor creation task. + /// \param worker The worker that was granted the actor creation lease. + /// \param lease The lease of the actor creation task. + void ConvertWorkerToActor(const std::shared_ptr &worker, + const RayLease &lease); /// Start a get or wait request for the requested objects. /// @@ -414,12 +414,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, const std::string &disconnect_detail, bool force = false); - /// When a job finished, loop over all of the queued tasks for that job and - /// treat them as failed. - /// - /// \param job_id The job that exited. - void CleanUpTasksForFinishedJob(const JobID &job_id); - /// Handles the event that a job is started. /// /// \param job_id ID of the started job. @@ -525,10 +519,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::GetResourceLoadReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Handle a `CancelTasksWithResourceShapes` request. - void HandleCancelTasksWithResourceShapes( - rpc::CancelTasksWithResourceShapesRequest request, - rpc::CancelTasksWithResourceShapesReply *reply, + /// Handle a `CancelLeasesWithResourceShapes` request. + void HandleCancelLeasesWithResourceShapes( + rpc::CancelLeasesWithResourceShapesRequest request, + rpc::CancelLeasesWithResourceShapesReply *reply, rpc::SendReplyCallback send_reply_callback) override; /// Handle a `PrepareBundleResources` request. @@ -561,12 +555,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::ReportWorkerBacklogReply *reply, rpc::SendReplyCallback send_reply_callback, WorkerPoolInterface &worker_pool, - ILocalTaskManager &local_task_manager); + LocalLeaseManagerInterface &local_lease_manager); - /// Handle a `ReturnWorker` request. - void HandleReturnWorker(rpc::ReturnWorkerRequest request, - rpc::ReturnWorkerReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + /// Handle a `ReturnWorkerLease` request. + void HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, + rpc::ReturnWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) override; /// Handle a `ReleaseUnusedActorWorkers` request. // On GCS restart, there's a pruning effort. GCS sends raylet a list of actor workers it @@ -621,10 +615,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::GetSystemConfigReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Handle a `GetTaskFailureCause` request. - void HandleGetTaskFailureCause(rpc::GetTaskFailureCauseRequest request, - rpc::GetTaskFailureCauseReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + /// Handle a `GetWorkerFailureCause` request. + void HandleGetWorkerFailureCause(rpc::GetWorkerFailureCauseRequest request, + rpc::GetWorkerFailureCauseReply *reply, + rpc::SendReplyCallback send_reply_callback) override; void HandleRegisterMutableObject(rpc::RegisterMutableObjectRequest request, rpc::RegisterMutableObjectReply *reply, @@ -714,12 +708,12 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Stores the failure reason for the task. The entry will be cleaned up by a periodic /// function post TTL. - void SetTaskFailureReason(const TaskID &task_id, - const rpc::RayErrorInfo &failure_reason, - bool should_retry); + void SetWorkerFailureReason(const LeaseID &lease_id, + const rpc::RayErrorInfo &failure_reason, + bool should_retry); - /// Checks the expiry time of the task failures and garbage collect them. - void GCTaskFailureReason(); + /// Checks the expiry time of the worker failures and garbage collect them. + void GCWorkerFailureReason(); /// Creates a AgentManager that creates and manages a dashboard agent. std::unique_ptr CreateDashboardAgentManager( @@ -776,7 +770,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// A manager to resolve objects needed by queued tasks and workers that /// called `ray.get` or `ray.wait`. - DependencyManager &dependency_manager_; + LeaseDependencyManager &lease_dependency_manager_; /// A manager for wait requests. WaitManager wait_manager_; @@ -801,11 +795,11 @@ class NodeManager : public rpc::NodeManagerServiceHandler, absl::flat_hash_map> remote_node_manager_addresses_; - /// Map of workers leased out to clients. + /// Map of workers to their worker ids. absl::flat_hash_map> &leased_workers_; - /// Optional extra information about why the task failed. - absl::flat_hash_map task_failure_reasons_; + /// Optional extra information about why the worker failed. + absl::flat_hash_map worker_failure_reasons_; /// Whether to trigger global GC in the next resource usage report. This will broadcast /// a global GC message to all raylets except for this one. @@ -835,11 +829,11 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// These classes make up the new scheduler. ClusterResourceScheduler is /// responsible for maintaining a view of the cluster state w.r.t resource - /// usage. ClusterTaskManager is responsible for queuing, spilling back, and + /// usage. ClusterLeaseManager is responsible for queuing, spilling back, and /// dispatching tasks. ClusterResourceScheduler &cluster_resource_scheduler_; - ILocalTaskManager &local_task_manager_; - ClusterTaskManagerInterface &cluster_task_manager_; + LocalLeaseManagerInterface &local_lease_manager_; + ClusterLeaseManagerInterface &cluster_lease_manager_; absl::flat_hash_map> pinned_objects_; diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index b8616a7a4882..ee89aba03ab6 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -16,9 +16,9 @@ ray_cc_library( deps = [ ":affinity_with_bundle_scheduling_policy", ":bundle_scheduling_policy", + ":cluster_lease_manager", ":cluster_resource_manager", ":cluster_resource_scheduler", - ":cluster_task_manager", ":composite_scheduling_policy", ":hybrid_scheduling_policy", ":local_resource_manager", @@ -33,8 +33,8 @@ ray_cc_library( name = "scheduler_internal", hdrs = ["internal.h"], deps = [ + "//src/ray/common:lease", "//src/ray/common:ray_object", - "//src/ray/common:task_common", "//src/ray/protobuf:node_manager_cc_proto", ], ) @@ -46,8 +46,8 @@ ray_cc_library( deps = [ ":local_resource_manager", "//src/ray/common:grpc_util", + "//src/ray/common:lease", "//src/ray/common:ray_config", - "//src/ray/common:task_common", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/util:container_util", "//src/ray/util:logging", @@ -72,24 +72,24 @@ ray_cc_library( ) ray_cc_library( - name = "cluster_task_manager", + name = "cluster_lease_manager", srcs = [ - "cluster_task_manager.cc", + "cluster_lease_manager.cc", "scheduler_stats.cc", ], hdrs = [ - "cluster_task_manager.h", + "cluster_lease_manager.h", "scheduler_stats.h", ], deps = [ + ":cluster_lease_manager_interface", ":cluster_resource_scheduler", - ":cluster_task_manager_interface", - ":local_task_manager_interface", + ":local_lease_manager_interface", ":scheduler_internal", ":scheduler_resource_reporter", + "//src/ray/common:lease", "//src/ray/common:ray_config", "//src/ray/common:ray_object", - "//src/ray/common:task_common", "//src/ray/stats:stats_lib", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", @@ -97,8 +97,8 @@ ray_cc_library( ) ray_cc_library( - name = "cluster_task_manager_interface", - hdrs = ["cluster_task_manager_interface.h"], + name = "cluster_lease_manager_interface", + hdrs = ["cluster_lease_manager_interface.h"], deps = [ "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/rpc:server_call", @@ -106,11 +106,11 @@ ray_cc_library( ) ray_cc_library( - name = "local_task_manager_interface", - hdrs = ["local_task_manager_interface.h"], + name = "local_lease_manager_interface", + hdrs = ["local_lease_manager_interface.h"], deps = [ ":scheduler_internal", - "//src/ray/common:task_common", + "//src/ray/common:lease", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -121,9 +121,9 @@ ray_cc_library( hdrs = ["local_resource_manager.h"], deps = [ "//src/ray/common:grpc_util", + "//src/ray/common:lease", "//src/ray/common:ray_config", "//src/ray/common:ray_syncer", - "//src/ray/common:task_common", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/stats:stats_metric", @@ -138,10 +138,10 @@ ray_cc_library( srcs = ["scheduler_resource_reporter.cc"], hdrs = ["scheduler_resource_reporter.h"], deps = [ - ":local_task_manager_interface", + ":local_lease_manager_interface", ":scheduler_internal", + "//src/ray/common:lease", "//src/ray/common:ray_config", - "//src/ray/common:task_common", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -160,7 +160,7 @@ ray_cc_library( hdrs = ["policy/scheduling_context.h"], deps = [ "//src/ray/common:id", - "//src/ray/common:task_common", + "//src/ray/common:lease", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -171,7 +171,7 @@ ray_cc_library( hdrs = ["policy/affinity_with_bundle_scheduling_policy.h"], deps = [ ":scheduling_policy", - "//src/ray/common:task_common", + "//src/ray/common:lease", ], ) @@ -184,7 +184,7 @@ ray_cc_library( ":scheduling_context", ":scheduling_policy", ":scorer", - "//src/ray/common:task_common", + "//src/ray/common:lease", ], ) @@ -258,7 +258,7 @@ ray_cc_library( name = "scorer", srcs = ["policy/scorer.cc"], hdrs = ["policy/scorer.h"], - deps = ["//src/ray/common:task_common"], + deps = ["//src/ray/common:lease"], ) ray_cc_library( @@ -266,6 +266,6 @@ ray_cc_library( hdrs = ["policy/scheduling_policy.h"], deps = [ ":scheduling_options", - "//src/ray/common:task_common", + "//src/ray/common:lease", ], ) diff --git a/src/ray/raylet/scheduling/cluster_task_manager.cc b/src/ray/raylet/scheduling/cluster_lease_manager.cc similarity index 62% rename from src/ray/raylet/scheduling/cluster_task_manager.cc rename to src/ray/raylet/scheduling/cluster_lease_manager.cc index 2eaf1edb2f55..f96973da9574 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.cc +++ b/src/ray/raylet/scheduling/cluster_lease_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include @@ -28,34 +28,34 @@ namespace ray { namespace raylet { -ClusterTaskManager::ClusterTaskManager( +ClusterLeaseManager::ClusterLeaseManager( const NodeID &self_node_id, ClusterResourceScheduler &cluster_resource_scheduler, internal::NodeInfoGetter get_node_info, - std::function announce_infeasible_task, - ILocalTaskManager &local_task_manager, + std::function announce_infeasible_lease, + LocalLeaseManagerInterface &local_lease_manager, std::function get_time_ms) : self_node_id_(self_node_id), cluster_resource_scheduler_(cluster_resource_scheduler), get_node_info_(std::move(get_node_info)), - announce_infeasible_task_(std::move(announce_infeasible_task)), - local_task_manager_(local_task_manager), + announce_infeasible_lease_(std::move(announce_infeasible_lease)), + local_lease_manager_(local_lease_manager), scheduler_resource_reporter_( - tasks_to_schedule_, infeasible_tasks_, local_task_manager_), - internal_stats_(*this, local_task_manager_), + leases_to_schedule_, infeasible_leases_, local_lease_manager_), + internal_stats_(*this, local_lease_manager_), get_time_ms_(std::move(get_time_ms)) {} -void ClusterTaskManager::QueueAndScheduleTask( - RayTask task, +void ClusterLeaseManager::QueueAndScheduleLease( + RayLease lease, bool grant_or_reject, bool is_selected_based_on_locality, rpc::RequestWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) { - RAY_LOG(DEBUG) << "Queuing and scheduling task " - << task.GetTaskSpecification().TaskId(); - const auto scheduling_class = task.GetTaskSpecification().GetSchedulingClass(); + RAY_LOG(DEBUG) << "Queuing and scheduling lease " + << lease.GetLeaseSpecification().LeaseId(); + const auto scheduling_class = lease.GetLeaseSpecification().GetSchedulingClass(); auto work = std::make_shared( - std::move(task), + std::move(lease), grant_or_reject, is_selected_based_on_locality, reply, @@ -64,13 +64,13 @@ void ClusterTaskManager::QueueAndScheduleTask( }); // If the scheduling class is infeasible, just add the work to the infeasible queue // directly. - auto infeasible_tasks_iter = infeasible_tasks_.find(scheduling_class); - if (infeasible_tasks_iter != infeasible_tasks_.end()) { - infeasible_tasks_iter->second.emplace_back(std::move(work)); + auto infeasible_leases_iter = infeasible_leases_.find(scheduling_class); + if (infeasible_leases_iter != infeasible_leases_.end()) { + infeasible_leases_iter->second.emplace_back(std::move(work)); } else { - tasks_to_schedule_[scheduling_class].emplace_back(std::move(work)); + leases_to_schedule_[scheduling_class].emplace_back(std::move(work)); } - ScheduleAndDispatchTasks(); + ScheduleAndGrantLeases(); } namespace { @@ -86,20 +86,20 @@ void ReplyCancelled(const internal::Work &work, } } // namespace -bool ClusterTaskManager::CancelTasks( +bool ClusterLeaseManager::CancelLeases( std::function &)> predicate, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - bool tasks_cancelled = false; + bool leases_cancelled = false; ray::erase_if>( - tasks_to_schedule_, [&](const std::shared_ptr &work) { + leases_to_schedule_, [&](const std::shared_ptr &work) { if (predicate(work)) { - RAY_LOG(DEBUG) << "Canceling task " - << work->task_.GetTaskSpecification().TaskId() + RAY_LOG(DEBUG) << "Canceling lease " + << work->lease_.GetLeaseSpecification().LeaseId() << " from schedule queue."; ReplyCancelled(*work, failure_type, scheduling_failure_message); - tasks_cancelled = true; + leases_cancelled = true; return true; } else { return false; @@ -107,28 +107,28 @@ bool ClusterTaskManager::CancelTasks( }); ray::erase_if>( - infeasible_tasks_, [&](const std::shared_ptr &work) { + infeasible_leases_, [&](const std::shared_ptr &work) { if (predicate(work)) { - RAY_LOG(DEBUG) << "Canceling task " - << work->task_.GetTaskSpecification().TaskId() + RAY_LOG(DEBUG) << "Canceling lease " + << work->lease_.GetLeaseSpecification().LeaseId() << " from infeasible queue."; ReplyCancelled(*work, failure_type, scheduling_failure_message); - tasks_cancelled = true; + leases_cancelled = true; return true; } else { return false; } }); - if (local_task_manager_.CancelTasks( + if (local_lease_manager_.CancelLeases( predicate, failure_type, scheduling_failure_message)) { - tasks_cancelled = true; + leases_cancelled = true; } - return tasks_cancelled; + return leases_cancelled; } -bool ClusterTaskManager::CancelTasksWithResourceShapes( +bool ClusterLeaseManager::CancelLeasesWithResourceShapes( const std::vector target_resource_shapes) { auto predicate = [target_resource_shapes, this](const std::shared_ptr &work) { @@ -140,7 +140,7 @@ bool ClusterTaskManager::CancelTasksWithResourceShapes( RAY_LOG(WARNING) << "Cancelling infeasible tasks with resource shapes " << resource_shapes_str; - bool task_cancelled = CancelTasks( + bool lease_cancelled = CancelLeases( predicate, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE, absl::StrCat( @@ -149,17 +149,17 @@ bool ClusterTaskManager::CancelTasksWithResourceShapes( " failed to schedule because there are not enough resources for the tasks " "or actors on the whole cluster.")); - RAY_LOG(INFO) << "Infeasible tasks cancellation complete with result=" << task_cancelled - << ",resource shapes=" << resource_shapes_str; + RAY_LOG(INFO) << "Infeasible tasks cancellation complete with result=" + << lease_cancelled << ",resource shapes=" << resource_shapes_str; - return task_cancelled; + return lease_cancelled; } -bool ClusterTaskManager::IsWorkWithResourceShape( +bool ClusterLeaseManager::IsWorkWithResourceShape( const std::shared_ptr &work, const std::vector &target_resource_shapes) { SchedulingClass scheduling_class = - work->task_.GetTaskSpecification().GetSchedulingClass(); + work->lease_.GetLeaseSpecification().GetSchedulingClass(); ResourceSet resource_set = TaskSpecification::GetSchedulingClassDescriptor(scheduling_class).resource_set; for (const auto &target_resource_shape : target_resource_shapes) { @@ -170,56 +170,56 @@ bool ClusterTaskManager::IsWorkWithResourceShape( return false; } -bool ClusterTaskManager::CancelAllTasksOwnedBy( +bool ClusterLeaseManager::CancelAllLeasesOwnedBy( const NodeID &node_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { // Only tasks and regular actors are canceled because their lifetime is // the same as the owner. auto predicate = [node_id](const std::shared_ptr &work) { - return !work->task_.GetTaskSpecification().IsDetachedActor() && - work->task_.GetTaskSpecification().CallerNodeId() == node_id; + return !work->lease_.GetLeaseSpecification().IsDetachedActor() && + work->lease_.GetLeaseSpecification().CallerNodeId() == node_id; }; - return CancelTasks(predicate, failure_type, scheduling_failure_message); + return CancelLeases(predicate, failure_type, scheduling_failure_message); } -bool ClusterTaskManager::CancelAllTasksOwnedBy( +bool ClusterLeaseManager::CancelAllLeasesOwnedBy( const WorkerID &worker_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { // Only tasks and regular actors are canceled because their lifetime is // the same as the owner. auto predicate = [worker_id](const std::shared_ptr &work) { - return !work->task_.GetTaskSpecification().IsDetachedActor() && - work->task_.GetTaskSpecification().CallerWorkerId() == worker_id; + return !work->lease_.GetLeaseSpecification().IsDetachedActor() && + work->lease_.GetLeaseSpecification().CallerWorkerId() == worker_id; }; - return CancelTasks(predicate, failure_type, scheduling_failure_message); + return CancelLeases(predicate, failure_type, scheduling_failure_message); } -void ClusterTaskManager::ScheduleAndDispatchTasks() { +void ClusterLeaseManager::ScheduleAndGrantLeases() { // Always try to schedule infeasible tasks in case they are now feasible. - TryScheduleInfeasibleTask(); + TryScheduleInfeasibleLease(); std::deque> works_to_cancel; - for (auto shapes_it = tasks_to_schedule_.begin(); - shapes_it != tasks_to_schedule_.end();) { + for (auto shapes_it = leases_to_schedule_.begin(); + shapes_it != leases_to_schedule_.end();) { auto &work_queue = shapes_it->second; bool is_infeasible = false; for (auto work_it = work_queue.begin(); work_it != work_queue.end();) { - // Check every task in task_to_schedule queue to see + // Check every lease in lease_to_schedule queue to see // whether it can be scheduled. This avoids head-of-line - // blocking where a task which cannot be scheduled because + // blocking where a lease which cannot be scheduled because // there are not enough available resources blocks other - // tasks from being scheduled. + // leases from being scheduled. const std::shared_ptr &work = *work_it; - RayTask task = work->task_; - RAY_LOG(DEBUG) << "Scheduling pending task " - << task.GetTaskSpecification().TaskId(); + RayLease lease = work->lease_; + RAY_LOG(DEBUG) << "Scheduling pending lease " + << lease.GetLeaseSpecification().LeaseId(); auto scheduling_node_id = cluster_resource_scheduler_.GetBestSchedulableNode( - task.GetTaskSpecification(), + lease.GetLeaseSpecification(), /*preferred_node_id*/ work->PrioritizeLocalNode() ? self_node_id_.Binary() - : task.GetPreferredNodeID(), + : lease.GetPreferredNodeID(), /*exclude_local_node*/ false, /*requires_object_store_memory*/ false, &is_infeasible); @@ -227,14 +227,14 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { // There is no node that has available resources to run the request. // Move on to the next shape. if (scheduling_node_id.IsNil()) { - RAY_LOG(DEBUG) << "No node found to schedule a task " - << task.GetTaskSpecification().TaskId() << " is infeasible?" + RAY_LOG(DEBUG) << "No node found to schedule a lease " + << lease.GetLeaseSpecification().LeaseId() << " is infeasible?" << is_infeasible; - if (task.GetTaskSpecification().IsNodeAffinitySchedulingStrategy() && - !task.GetTaskSpecification().GetNodeAffinitySchedulingStrategySoft()) { + if (lease.GetLeaseSpecification().IsNodeAffinitySchedulingStrategy() && + !lease.GetLeaseSpecification().GetNodeAffinitySchedulingStrategySoft()) { // This can only happen if the target node doesn't exist or is infeasible. - // The task will never be schedulable in either case so we should fail it. + // The lease will never be schedulable in either case so we should fail it. if (cluster_resource_scheduler_.IsLocalNodeWithRaylet()) { ReplyCancelled( *work, @@ -246,9 +246,9 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { work_it = work_queue.erase(work_it); } else { // If scheduling is done by gcs, we can not `ReplyCancelled` now because it - // would synchronously call `ClusterTaskManager::CancelTask`, where - // `task_to_schedule_`'s iterator will be invalidated. So record this work and - // it will be handled below (out of the loop). + // would synchronously call `ClusterLeaseManager::CancelLease`, where + // `lease_to_schedule_`'s iterator will be invalidated. So record this work + // and it will be handled below (out of the loop). works_to_cancel.push_back(*work_it); work_it++; } @@ -269,15 +269,15 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { // Only announce the first item as infeasible. auto &cur_work_queue = shapes_it->second; const auto &work = cur_work_queue[0]; - const RayTask task = work->task_; - if (announce_infeasible_task_) { - announce_infeasible_task_(task); + const RayLease lease = work->lease_; + if (announce_infeasible_lease_) { + announce_infeasible_lease_(lease); } - infeasible_tasks_[shapes_it->first] = std::move(shapes_it->second); - tasks_to_schedule_.erase(shapes_it++); + infeasible_leases_[shapes_it->first] = std::move(shapes_it->second); + leases_to_schedule_.erase(shapes_it++); } else if (work_queue.empty()) { - tasks_to_schedule_.erase(shapes_it++); + leases_to_schedule_.erase(shapes_it++); } else { shapes_it++; } @@ -285,7 +285,7 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { for (const auto &work : works_to_cancel) { // All works in `works_to_cancel` are scheduled by gcs. So `ReplyCancelled` - // will synchronously call `ClusterTaskManager::CancelTask`, where works are + // will synchronously call `ClusterLeaseManager::CancelLease`, where works are // erased from the pending queue. ReplyCancelled(*work, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE, @@ -294,26 +294,27 @@ void ClusterTaskManager::ScheduleAndDispatchTasks() { } works_to_cancel.clear(); - local_task_manager_.ScheduleAndDispatchTasks(); + local_lease_manager_.ScheduleAndGrantLeases(); } -void ClusterTaskManager::TryScheduleInfeasibleTask() { - for (auto shapes_it = infeasible_tasks_.begin(); - shapes_it != infeasible_tasks_.end();) { +void ClusterLeaseManager::TryScheduleInfeasibleLease() { + for (auto shapes_it = infeasible_leases_.begin(); + shapes_it != infeasible_leases_.end();) { auto &work_queue = shapes_it->second; RAY_CHECK(!work_queue.empty()) << "Empty work queue shouldn't have been added as a infeasible shape."; // We only need to check the first item because every task has the same shape. // If the first entry is infeasible, that means everything else is the same. const auto work = work_queue[0]; - RayTask task = work->task_; - RAY_LOG(DEBUG) << "Check if the infeasible task is schedulable in any node. task_id:" - << task.GetTaskSpecification().TaskId(); + RayLease lease = work->lease_; + RAY_LOG(DEBUG) + << "Check if the infeasible lease is schedulable in any node. lease_id:" + << lease.GetLeaseSpecification().LeaseId(); bool is_infeasible; cluster_resource_scheduler_.GetBestSchedulableNode( - task.GetTaskSpecification(), + lease.GetLeaseSpecification(), /*preferred_node_id*/ work->PrioritizeLocalNode() ? self_node_id_.Binary() - : task.GetPreferredNodeID(), + : lease.GetPreferredNodeID(), /*exclude_local_node*/ false, /*requires_object_store_memory*/ false, &is_infeasible); @@ -321,31 +322,31 @@ void ClusterTaskManager::TryScheduleInfeasibleTask() { // There is no node that has available resources to run the request. // Move on to the next shape. if (is_infeasible) { - RAY_LOG(DEBUG) << "No feasible node found for task " - << task.GetTaskSpecification().TaskId(); + RAY_LOG(DEBUG) << "No feasible node found for lease " + << lease.GetLeaseSpecification().LeaseId(); shapes_it++; } else { - RAY_LOG(DEBUG) << "Infeasible task of task id " - << task.GetTaskSpecification().TaskId() - << " is now feasible. Move the entry back to tasks_to_schedule_"; - tasks_to_schedule_[shapes_it->first] = std::move(shapes_it->second); - infeasible_tasks_.erase(shapes_it++); + RAY_LOG(DEBUG) << "Infeasible lease of lease id " + << lease.GetLeaseSpecification().LeaseId() + << " is now feasible. Move the entry back to leases_to_schedule_"; + leases_to_schedule_[shapes_it->first] = std::move(shapes_it->second); + infeasible_leases_.erase(shapes_it++); } } } -bool ClusterTaskManager::CancelTask( - const TaskID &task_id, +bool ClusterLeaseManager::CancelLease( + const LeaseID &lease_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - auto predicate = [task_id](const std::shared_ptr &work) { - return work->task_.GetTaskSpecification().TaskId() == task_id; + auto predicate = [lease_id](const std::shared_ptr &work) { + return work->lease_.GetLeaseSpecification().LeaseId() == lease_id; }; - return CancelTasks(predicate, failure_type, scheduling_failure_message); + return CancelLeases(predicate, failure_type, scheduling_failure_message); } -void ClusterTaskManager::FillResourceUsage(rpc::ResourcesData &data) { +void ClusterLeaseManager::FillResourceUsage(rpc::ResourcesData &data) { // This populates load information. scheduler_resource_reporter_.FillResourceUsage(data); // This populates usage information. @@ -363,17 +364,17 @@ void ClusterTaskManager::FillResourceUsage(rpc::ResourcesData &data) { resource_view_sync_message.draining_deadline_timestamp_ms()); } -const RayTask *ClusterTaskManager::AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const { - const RayTask *exemplar = nullptr; - // We are guaranteed that these tasks are blocked waiting for resources after a - // call to ScheduleAndDispatchTasks(). They may be waiting for workers as well, but +const RayLease *ClusterLeaseManager::AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const { + const RayLease *exemplar = nullptr; + // We are guaranteed that these leases are blocked waiting for resources after a + // call to ScheduleAndGrantLeases(). They may be waiting for workers as well, but // this should be a transient condition only. - for (const auto &shapes_it : tasks_to_schedule_) { + for (const auto &shapes_it : leases_to_schedule_) { auto &work_queue = shapes_it.second; for (const auto &work_it : work_queue) { const auto &work = *work_it; - const auto &task = work_it->task_; + const auto &lease = work_it->lease_; // If the work is not in the waiting state, it will be scheduled soon or won't be // scheduled. Consider as non-pending. @@ -392,37 +393,37 @@ const RayTask *ClusterTaskManager::AnyPendingTasksForResourceAcquisition( continue; } - if (task.GetTaskSpecification().IsActorCreationTask()) { + if (lease.GetLeaseSpecification().IsActorCreationTask()) { *num_pending_actor_creation += 1; } else { - *num_pending_tasks += 1; + *num_pending_leases += 1; } if (exemplar == nullptr) { - exemplar = &task; + exemplar = &lease; } } } - auto local_task_exemplar = local_task_manager_.AnyPendingTasksForResourceAcquisition( - num_pending_actor_creation, num_pending_tasks); - // Prefer returning the cluster task manager exemplar if it exists. - return exemplar == nullptr ? local_task_exemplar : exemplar; + auto local_lease_exemplar = local_lease_manager_.AnyPendingLeasesForResourceAcquisition( + num_pending_actor_creation, num_pending_leases); + // Prefer returning the cluster lease manager exemplar if it exists. + return exemplar == nullptr ? local_lease_exemplar : exemplar; } -void ClusterTaskManager::RecordMetrics() const { +void ClusterLeaseManager::RecordMetrics() const { internal_stats_.RecordMetrics(); cluster_resource_scheduler_.GetLocalResourceManager().RecordMetrics(); } -std::string ClusterTaskManager::DebugStr() const { +std::string ClusterLeaseManager::DebugStr() const { return internal_stats_.ComputeAndReportDebugStr(); } -void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, - const std::shared_ptr &work) { +void ClusterLeaseManager::ScheduleOnNode(const NodeID &spillback_to, + const std::shared_ptr &work) { if (spillback_to == self_node_id_) { - local_task_manager_.QueueAndScheduleTask(work); + local_lease_manager_.QueueAndScheduleLease(work); return; } @@ -434,16 +435,17 @@ void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, return; } - internal_stats_.TaskSpilled(); + internal_stats_.LeaseSpilled(); - const auto &task = work->task_; - const auto &task_spec = task.GetTaskSpecification(); - RAY_LOG(DEBUG) << "Spilling task " << task_spec.TaskId() << " to node " << spillback_to; + const auto &lease = work->lease_; + const auto &lease_spec = lease.GetLeaseSpecification(); + RAY_LOG(DEBUG) << "Spilling lease " << lease_spec.LeaseId() << " to node " + << spillback_to; if (!cluster_resource_scheduler_.AllocateRemoteTaskResources( scheduling::NodeID(spillback_to.Binary()), - task_spec.GetRequiredResources().GetResourceMap())) { - RAY_LOG(DEBUG) << "Tried to allocate resources for request " << task_spec.TaskId() + lease_spec.GetRequiredResources().GetResourceMap())) { + RAY_LOG(DEBUG) << "Tried to allocate resources for request " << lease_spec.LeaseId() << " on a remote node that are no longer available"; } @@ -460,27 +462,27 @@ void ClusterTaskManager::ScheduleOnNode(const NodeID &spillback_to, send_reply_callback(); } -ClusterResourceScheduler &ClusterTaskManager::GetClusterResourceScheduler() const { +ClusterResourceScheduler &ClusterLeaseManager::GetClusterResourceScheduler() const { return cluster_resource_scheduler_; } -size_t ClusterTaskManager::GetInfeasibleQueueSize() const { +size_t ClusterLeaseManager::GetInfeasibleQueueSize() const { size_t count = 0; - for (const auto &cls_entry : infeasible_tasks_) { + for (const auto &cls_entry : infeasible_leases_) { count += cls_entry.second.size(); } return count; } -size_t ClusterTaskManager::GetPendingQueueSize() const { +size_t ClusterLeaseManager::GetPendingQueueSize() const { size_t count = 0; - for (const auto &cls_entry : tasks_to_schedule_) { + for (const auto &cls_entry : leases_to_schedule_) { count += cls_entry.second.size(); } return count; } -void ClusterTaskManager::FillPendingActorInfo(rpc::ResourcesData &data) const { +void ClusterLeaseManager::FillPendingActorInfo(rpc::ResourcesData &data) const { scheduler_resource_reporter_.FillPendingActorCountByShape(data); } diff --git a/src/ray/raylet/scheduling/cluster_task_manager.h b/src/ray/raylet/scheduling/cluster_lease_manager.h similarity index 62% rename from src/ray/raylet/scheduling/cluster_task_manager.h rename to src/ray/raylet/scheduling/cluster_lease_manager.h index 5137d1fb527a..89f15ba62417 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager.h +++ b/src/ray/raylet/scheduling/cluster_lease_manager.h @@ -19,109 +19,108 @@ #include #include "absl/container/flat_hash_map.h" +#include "ray/common/lease/lease.h" #include "ray/common/ray_object.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_common.h" +#include "ray/raylet/scheduling/cluster_lease_manager_interface.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet/scheduling/cluster_task_manager_interface.h" -#include "ray/raylet/scheduling/internal.h" -#include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/raylet/scheduling/local_lease_manager_interface.h" #include "ray/raylet/scheduling/scheduler_resource_reporter.h" #include "ray/raylet/scheduling/scheduler_stats.h" namespace ray { namespace raylet { -/// Schedules a task onto one node of the cluster. The logic is as follows: -/// 1. Queue tasks for scheduling. +/// Schedules a lease onto one node of the cluster. The logic is as follows: +/// 1. Queue leases for scheduling. /// 2. Pick a node on the cluster which has the available resources to run a -/// task. +/// lease. /// * Step 2 should occur any time the state of the cluster is -/// changed, or a new task is queued. -/// 3. For tasks that's infeasable, put them into infeasible queue and reports -/// it to gcs, where the auto scaler will be notified and start new node +/// changed, or a new lease is queued. +/// 3. For leases that are infeasible, put them into infeasible queue and report +/// it to gcs, where the auto scaler will be notified and start a new node /// to accommodate the requirement. -class ClusterTaskManager : public ClusterTaskManagerInterface { +class ClusterLeaseManager : public ClusterLeaseManagerInterface { public: /// \param self_node_id: ID of local node. /// \param cluster_resource_scheduler: The resource scheduler which contains /// the state of the cluster. /// \param get_node_info: Function that returns the node info for a node. - /// \param announce_infeasible_task: Callback that informs the user if a task + /// \param announce_infeasible_lease: Callback that informs the user if a lease /// is infeasible. - /// \param local_task_manager: Manages local tasks. + /// \param local_lease_manager: Manages local leases. /// \param get_time_ms: A callback which returns the current time in milliseconds. - ClusterTaskManager( + ClusterLeaseManager( const NodeID &self_node_id, ClusterResourceScheduler &cluster_resource_scheduler, internal::NodeInfoGetter get_node_info, - std::function announce_infeasible_task, - ILocalTaskManager &local_task_manager, + std::function announce_infeasible_lease, + LocalLeaseManagerInterface &local_lease_manager, std::function get_time_ms = []() { return static_cast(absl::GetCurrentTimeNanos() / 1e6); }); - /// Queue task and schedule. This happens when processing the worker lease request. + /// Queue lease and schedule. This happens when processing the worker lease request. /// - /// \param task: The incoming task to be queued and scheduled. + /// \param lease: The incoming lease to be queued and scheduled. /// \param grant_or_reject: True if we we should either grant or reject the request /// but no spillback. /// \param is_selected_based_on_locality : should schedule on local node if possible. /// \param reply: The reply of the lease request. /// \param send_reply_callback: The function used during dispatching. - void QueueAndScheduleTask(RayTask task, - bool grant_or_reject, - bool is_selected_based_on_locality, - rpc::RequestWorkerLeaseReply *reply, - rpc::SendReplyCallback send_reply_callback) override; + void QueueAndScheduleLease(RayLease lease, + bool grant_or_reject, + bool is_selected_based_on_locality, + rpc::RequestWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) override; - /// Attempt to cancel an already queued task. + /// Attempt to cancel an already queued lease. /// - /// \param task_id: The id of the task to remove. + /// \param lease_id: The lease_id of the lease to remove. /// \param failure_type: The failure type. /// \param scheduling_failure_message: The failure message. /// - /// \return True if task was successfully removed. This function will return - /// false if the task is already running. - bool CancelTask(const TaskID &task_id, - rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = - rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, - const std::string &scheduling_failure_message = "") override; - - bool CancelAllTasksOwnedBy( + /// \return True if lease was successfully cancelled. This function will return + /// false if the lease is already granted. + bool CancelLease(const LeaseID &lease_id, + rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = + rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, + const std::string &scheduling_failure_message = "") override; + + bool CancelAllLeasesOwnedBy( const WorkerID &worker_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = "") override; - bool CancelAllTasksOwnedBy( + bool CancelAllLeasesOwnedBy( const NodeID &node_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = "") override; - /// Cancel all tasks that requires certain resource shape. - /// This function is intended to be used to cancel the infeasible tasks. To make it a + /// Cancel all leases that requires certain resource shape. + /// This function is intended to be used to cancel the infeasible leases. To make it a /// more general function, please modify the signature by adding parameters including /// the failure type and the failure message. /// /// \param target_resource_shapes: The resource shapes to cancel. /// - /// \return True if any task was successfully cancelled. This function will return - /// false if the task is already running. This shouldn't happen in noremal cases - /// because the infeasible tasks shouldn't be able to run due to resource constraints. - bool CancelTasksWithResourceShapes( + /// \return True if any lease was successfully cancelled. This function will return + /// false if the lease is already granted. This shouldn't happen in normal cases + /// because the infeasible leases shouldn't be granted due to resource constraints. + bool CancelLeasesWithResourceShapes( const std::vector target_resource_shapes) override; - /// Attempt to cancel all queued tasks that match the predicate. + /// Attempt to cancel all queued leases that match the predicate. /// - /// \param predicate: A function that returns true if a task needs to be cancelled. + /// \param predicate: A function that returns true if a lease needs to be cancelled. /// \param failure_type: The reason for cancellation. /// \param scheduling_failure_message: The reason message for cancellation. - /// \return True if any task was successfully cancelled. - bool CancelTasks(std::function &)> predicate, - rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, - const std::string &scheduling_failure_message) override; + /// \return True if any lease was successfully cancelled. + bool CancelLeases( + std::function &)> predicate, + rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, + const std::string &scheduling_failure_message) override; /// Populate the relevant parts of the heartbeat table. This is intended for /// sending resource usage of raylet to gcs. In particular, this should fill in @@ -131,29 +130,29 @@ class ClusterTaskManager : public ClusterTaskManagerInterface { /// the only fields used. void FillResourceUsage(rpc::ResourcesData &data) override; - /// Return with an exemplar if any tasks are pending resource acquisition. + /// Return with an exemplar if any leases are pending resource acquisition. /// - /// \param[in,out] num_pending_actor_creation: Number of pending actor creation tasks. - /// \param[in,out] num_pending_tasks: Number of pending tasks. - /// \return An example task that is deadlocking if any tasks are pending resource + /// \param[in,out] num_pending_actor_creation: Number of pending actor creation leases. + /// \param[in,out] num_pending_leases: Number of pending leases. + /// \return An example lease that is deadlocking if any leases are pending resource /// acquisition. - const RayTask *AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const override; + const RayLease *AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const override; - // Schedule and dispatch tasks. - void ScheduleAndDispatchTasks() override; + // Schedule and grant leases. + void ScheduleAndGrantLeases() override; /// Record the internal metrics. void RecordMetrics() const override; - /// The helper to dump the debug state of the cluster task manater. + /// The helper to dump the debug state of the cluster lease manater. std::string DebugStr() const override; ClusterResourceScheduler &GetClusterResourceScheduler() const; - /// Get the count of tasks in `infeasible_tasks_`. + /// Get the count of leases in `infeasible_leases_`. size_t GetInfeasibleQueueSize() const; - /// Get the count of tasks in `tasks_to_schedule_`. + /// Get the count of leases in `leases_to_schedule_`. size_t GetPendingQueueSize() const; /// Populate the info of pending and infeasible actors. This function @@ -164,14 +163,16 @@ class ClusterTaskManager : public ClusterTaskManagerInterface { void FillPendingActorInfo(rpc::ResourcesData &data) const; private: - void TryScheduleInfeasibleTask(); + void TryScheduleInfeasibleLease(); - // Schedule the task onto a node (which could be either remote or local). + // Schedule the lease onto a node (which could be to a worker thats in a local or remote + // node). void ScheduleOnNode(const NodeID &node_to_schedule, const std::shared_ptr &work); /// Recompute the debug stats. - /// It is needed because updating the debug state is expensive for cluster_task_manager. + /// It is needed because updating the debug state is expensive for + /// cluster_lease_manager. /// TODO(sang): Update the internal states value dynamically instead of iterating the /// data structure. void RecomputeDebugStats() const; @@ -194,20 +195,20 @@ class ClusterTaskManager : public ClusterTaskManagerInterface { /// Function to get the node information of a given node id. internal::NodeInfoGetter get_node_info_; - /// Function to announce infeasible task to GCS. - std::function announce_infeasible_task_; + /// Function to announce infeasible lease to GCS. + std::function announce_infeasible_lease_; - ILocalTaskManager &local_task_manager_; + LocalLeaseManagerInterface &local_lease_manager_; /// Queue of lease requests that are waiting for resources to become available. - /// Tasks move from scheduled -> dispatch | waiting. + /// Leases move from scheduled -> dispatch | waiting. absl::flat_hash_map>> - tasks_to_schedule_; + leases_to_schedule_; /// Queue of lease requests that are infeasible. - /// Tasks go between scheduling <-> infeasible. + /// Leases go between scheduling <-> infeasible. absl::flat_hash_map>> - infeasible_tasks_; + infeasible_leases_; const SchedulerResourceReporter scheduler_resource_reporter_; mutable SchedulerStats internal_stats_; @@ -216,8 +217,8 @@ class ClusterTaskManager : public ClusterTaskManagerInterface { std::function get_time_ms_; friend class SchedulerStats; - friend class ClusterTaskManagerTest; - FRIEND_TEST(ClusterTaskManagerTest, FeasibleToNonFeasible); + friend class ClusterLeaseManagerTest; + FRIEND_TEST(ClusterLeaseManagerTest, FeasibleToNonFeasible); }; } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/scheduling/cluster_task_manager_interface.h b/src/ray/raylet/scheduling/cluster_lease_manager_interface.h similarity index 58% rename from src/ray/raylet/scheduling/cluster_task_manager_interface.h rename to src/ray/raylet/scheduling/cluster_lease_manager_interface.h index 7950706eb04e..e8b885c7a8ad 100644 --- a/src/ray/raylet/scheduling/cluster_task_manager_interface.h +++ b/src/ray/raylet/scheduling/cluster_lease_manager_interface.h @@ -17,17 +17,18 @@ #include #include +#include "ray/raylet/scheduling/internal.h" #include "ray/rpc/server_call.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray { namespace raylet { -class ClusterTaskManagerInterface { +class ClusterLeaseManagerInterface { public: - virtual ~ClusterTaskManagerInterface() = default; + virtual ~ClusterLeaseManagerInterface() = default; - // Schedule and dispatch tasks. - virtual void ScheduleAndDispatchTasks() = 0; + // Schedule and dispatch leases. + virtual void ScheduleAndGrantLeases() = 0; /// Populate the relevant parts of the heartbeat table. This is intended for /// sending raylet <-> gcs heartbeats. In particular, this should fill in @@ -37,81 +38,81 @@ class ClusterTaskManagerInterface { /// fields used. virtual void FillResourceUsage(rpc::ResourcesData &data) = 0; - /// Attempt to cancel an already queued task. + /// Attempt to cancel an already queued lease. /// - /// \param task_id: The id of the task to remove. + /// \param lease_id: The id of the lease to remove. /// \param failure_type: The failure type. /// \param scheduling_failure_message: The failure message. /// - /// \return True if task was successfully removed. This function will return - /// false if the task is already running. - virtual bool CancelTask( - const TaskID &task_id, + /// \return True if lease was successfully cancelled. This function will return + /// false if the lease is already granted. + virtual bool CancelLease( + const LeaseID &lease_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = "") = 0; - /// Cancel all tasks owned by a specific worker. - virtual bool CancelAllTasksOwnedBy( + /// Cancel all leases owned by a specific worker. + virtual bool CancelAllLeasesOwnedBy( const WorkerID &worker_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = "") = 0; - /// Cancel all tasks owned by a worker on the specific node. - virtual bool CancelAllTasksOwnedBy( + /// Cancel all leases owned by a worker on the specific node. + virtual bool CancelAllLeasesOwnedBy( const NodeID &node_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type = rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, const std::string &scheduling_failure_message = "") = 0; - /// Attempt to cancel all queued tasks that match the resource shapes. - /// This function is intended to be used to cancel the infeasible tasks. To make it a + /// Attempt to cancel all queued leases that match the resource shapes. + /// This function is intended to be used to cancel the infeasible leases. To make it a /// more general function, please modify the signature by adding parameters including /// the failure type and the failure message. /// /// \param target_resource_shapes: The resource shapes to cancel. /// - /// \return True if any task was successfully removed. This function will return false - /// if the task is already running. This shouldn't happen in noremal cases because the - /// infeasible tasks shouldn't be able to run due to resource constraints. - virtual bool CancelTasksWithResourceShapes( + /// \return True if any lease was successfully removed. This function will return false + /// if the lease is already running. This shouldn't happen in noremal cases because the + /// infeasible leases shouldn't be able to run due to resource constraints. + virtual bool CancelLeasesWithResourceShapes( const std::vector target_resource_shapes) = 0; - /// Attempt to cancel all queued tasks that match the predicate. + /// Attempt to cancel all queued leases that match the predicate. /// - /// \param predicate: A function that returns true if a task needs to be cancelled. + /// \param predicate: A function that returns true if a lease needs to be cancelled. /// \param failure_type: The reason for cancellation. /// \param scheduling_failure_message: The reason message for cancellation. - /// \return True if any task was successfully cancelled. - virtual bool CancelTasks( + /// \return True if any lease was successfully cancelled. + virtual bool CancelLeases( std::function &)> predicate, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) = 0; - /// Queue task and schedule. This happens when processing the worker lease request. + /// Queue lease and schedule. This happens when processing the worker lease request. /// - /// \param task: The incoming task to be queued and scheduled. + /// \param lease: The incoming lease to be queued and scheduled. /// \param grant_or_reject: True if we we should either grant or reject the request /// but no spillback. /// \param reply: The reply of the lease request. /// \param send_reply_callback: The function used during dispatching. - virtual void QueueAndScheduleTask(RayTask task, - bool grant_or_reject, - bool is_selected_based_on_locality, - rpc::RequestWorkerLeaseReply *reply, - rpc::SendReplyCallback send_reply_callback) = 0; + virtual void QueueAndScheduleLease(RayLease lease, + bool grant_or_reject, + bool is_selected_based_on_locality, + rpc::RequestWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) = 0; - /// Return with an exemplar if any tasks are pending resource acquisition. + /// Return with an exemplar if any leases are pending resource acquisition. /// /// \param[in] num_pending_actor_creation Number of pending actor creation tasks. - /// \param[in] num_pending_tasks Number of pending tasks. - /// \return An example task that is deadlocking if any tasks are pending resource + /// \param[in] num_pending_leases Number of pending leases. + /// \return An example lease that is deadlocking if any leases are pending resource /// acquisition. - virtual const RayTask *AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const = 0; + virtual const RayLease *AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const = 0; - /// The helper to dump the debug state of the cluster task manater. + /// The helper to dump the debug state of the cluster lease manater. virtual std::string DebugStr() const = 0; /// Record the internal metrics. diff --git a/src/ray/raylet/scheduling/cluster_resource_manager.h b/src/ray/raylet/scheduling/cluster_resource_manager.h index 1b3f01528031..58bde9688105 100644 --- a/src/ray/raylet/scheduling/cluster_resource_manager.h +++ b/src/ray/raylet/scheduling/cluster_resource_manager.h @@ -33,7 +33,7 @@ namespace ray { namespace raylet { -class ClusterTaskManagerTest; +class ClusterLeaseManagerTest; class SchedulingPolicyTest; } // namespace raylet namespace raylet_scheduling_policy { @@ -180,7 +180,7 @@ class ClusterResourceManager { friend class ClusterResourceSchedulerTest; friend struct ClusterResourceManagerTest; - friend class raylet::ClusterTaskManagerTest; + friend class raylet::ClusterLeaseManagerTest; FRIEND_TEST(ClusterResourceSchedulerTest, SchedulingDeleteClusterNodeTest); FRIEND_TEST(ClusterResourceSchedulerTest, SchedulingModifyClusterNodeTest); FRIEND_TEST(ClusterResourceSchedulerTest, SchedulingUpdateAvailableResourcesTest); @@ -199,7 +199,7 @@ class ClusterResourceManager { FRIEND_TEST(ClusterResourceSchedulerTest, AvailableResourceInstancesOpsTest); FRIEND_TEST(ClusterResourceSchedulerTest, DirtyLocalViewTest); FRIEND_TEST(ClusterResourceSchedulerTest, DynamicResourceTest); - FRIEND_TEST(ClusterTaskManagerTestWithGPUsAtHead, RleaseAndReturnWorkerCpuResources); + FRIEND_TEST(ClusterLeaseManagerTestWithGPUsAtHead, RleaseAndReturnWorkerCpuResources); FRIEND_TEST(ClusterResourceSchedulerTest, TestForceSpillback); FRIEND_TEST(ClusterResourceSchedulerTest, AffinityWithBundleScheduleTest); FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest); diff --git a/src/ray/raylet/scheduling/cluster_resource_scheduler.cc b/src/ray/raylet/scheduling/cluster_resource_scheduler.cc index dff976ffcf62..4f1448320547 100644 --- a/src/ray/raylet/scheduling/cluster_resource_scheduler.cc +++ b/src/ray/raylet/scheduling/cluster_resource_scheduler.cc @@ -284,7 +284,7 @@ bool ClusterResourceScheduler::IsSchedulableOnNode( } scheduling::NodeID ClusterResourceScheduler::GetBestSchedulableNode( - const TaskSpecification &task_spec, + const LeaseSpecification &lease_spec, const std::string &preferred_node_id, bool exclude_local_node, bool requires_object_store_memory, @@ -293,8 +293,8 @@ scheduling::NodeID ClusterResourceScheduler::GetBestSchedulableNode( // going through the full hybrid policy since we don't want spillback. if (preferred_node_id == local_node_id_.Binary() && !exclude_local_node && IsSchedulableOnNode(local_node_id_, - task_spec.GetRequiredPlacementResources().GetResourceMap(), - task_spec.GetLabelSelector(), + lease_spec.GetRequiredPlacementResources().GetResourceMap(), + lease_spec.GetLabelSelector(), requires_object_store_memory)) { *is_infeasible = false; return local_node_id_; @@ -303,11 +303,11 @@ scheduling::NodeID ClusterResourceScheduler::GetBestSchedulableNode( // This argument is used to set violation, which is an unsupported feature now. int64_t _unused; scheduling::NodeID best_node = - GetBestSchedulableNode(task_spec.GetRequiredPlacementResources().GetResourceMap(), - task_spec.GetLabelSelector(), - task_spec.GetMessage().scheduling_strategy(), + GetBestSchedulableNode(lease_spec.GetRequiredPlacementResources().GetResourceMap(), + lease_spec.GetLabelSelector(), + lease_spec.GetMessage().scheduling_strategy(), requires_object_store_memory, - task_spec.IsActorCreationTask(), + lease_spec.IsActorCreationTask(), exclude_local_node, preferred_node_id, &_unused, @@ -316,16 +316,16 @@ scheduling::NodeID ClusterResourceScheduler::GetBestSchedulableNode( // There is no other available nodes. if (!best_node.IsNil() && !IsSchedulableOnNode(best_node, - task_spec.GetRequiredPlacementResources().GetResourceMap(), - task_spec.GetLabelSelector(), + lease_spec.GetRequiredPlacementResources().GetResourceMap(), + lease_spec.GetLabelSelector(), requires_object_store_memory)) { // Prefer waiting on the local node if possible // since the local node is chosen for a reason (e.g. spread). if ((preferred_node_id == local_node_id_.Binary()) && NodeAvailable(local_node_id_)) { auto resource_request = ResourceMapToResourceRequest( - task_spec.GetRequiredPlacementResources().GetResourceMap(), + lease_spec.GetRequiredPlacementResources().GetResourceMap(), requires_object_store_memory); - const auto &selector = task_spec.GetLabelSelector(); + const auto &selector = lease_spec.GetLabelSelector(); resource_request.SetLabelSelector(selector); if (cluster_resource_manager_->HasFeasibleResources(local_node_id_, resource_request)) { @@ -334,7 +334,7 @@ scheduling::NodeID ClusterResourceScheduler::GetBestSchedulableNode( } } // If the task is being scheduled by gcs, return nil to make it stay in the - // `cluster_task_manager`'s queue. + // `cluster_lease_manager`'s queue. if (!is_local_node_with_raylet_) { return scheduling::NodeID::Nil(); } diff --git a/src/ray/raylet/scheduling/cluster_resource_scheduler.h b/src/ray/raylet/scheduling/cluster_resource_scheduler.h index 39a7f0111e1b..2df66334975f 100644 --- a/src/ray/raylet/scheduling/cluster_resource_scheduler.h +++ b/src/ray/raylet/scheduling/cluster_resource_scheduler.h @@ -84,7 +84,7 @@ class ClusterResourceScheduler { /// Find a node in the cluster on which we can schedule a given resource request. /// In hybrid mode, see `scheduling_policy.h` for a description of the policy. /// - /// \param task_spec: Task/Actor to be scheduled. + /// \param lease_spec: Lease to be scheduled. /// \param preferred_node_id: the node where the task is preferred to be placed. An /// empty `preferred_node_id` (string) means no preferred node. /// \param exclude_local_node: true if we want to avoid local node. This will cancel @@ -96,7 +96,7 @@ class ClusterResourceScheduler { /// /// \return empty string, if no node can schedule the current request; otherwise, /// return the string name of a node that can schedule the resource request. - scheduling::NodeID GetBestSchedulableNode(const TaskSpecification &task_spec, + scheduling::NodeID GetBestSchedulableNode(const LeaseSpecification &lease_spec, const std::string &preferred_node_id, bool exclude_local_node, bool requires_object_store_memory, @@ -244,7 +244,7 @@ class ClusterResourceScheduler { FRIEND_TEST(ClusterResourceSchedulerTest, AvailableResourceInstancesOpsTest); FRIEND_TEST(ClusterResourceSchedulerTest, DirtyLocalViewTest); FRIEND_TEST(ClusterResourceSchedulerTest, DynamicResourceTest); - FRIEND_TEST(ClusterTaskManagerTestWithGPUsAtHead, RleaseAndReturnWorkerCpuResources); + FRIEND_TEST(ClusterLeaseManagerTestWithGPUsAtHead, RleaseAndReturnWorkerCpuResources); FRIEND_TEST(ClusterResourceSchedulerTest, TestForceSpillback); FRIEND_TEST(ClusterResourceSchedulerTest, AffinityWithBundleScheduleTest); FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest); diff --git a/src/ray/raylet/scheduling/internal.h b/src/ray/raylet/scheduling/internal.h index 8e98eb342ff2..dfb6d130a618 100644 --- a/src/ray/raylet/scheduling/internal.h +++ b/src/ray/raylet/scheduling/internal.h @@ -17,10 +17,9 @@ #include #include +#include "ray/common/lease/lease.h" #include "ray/common/ray_object.h" #include "ray/common/scheduling/cluster_resource_data.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_common.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray::raylet::internal { @@ -51,23 +50,23 @@ enum class UnscheduledWorkCause { }; /// Work represents all the information needed to make a scheduling decision. -/// This includes the task, the information we need to communicate to +/// This includes the lease, the information we need to communicate to /// dispatch/spillback and the callback to trigger it. class Work { public: - RayTask task_; + RayLease lease_; bool grant_or_reject_; bool is_selected_based_on_locality_; rpc::RequestWorkerLeaseReply *reply_; std::function callback_; std::shared_ptr allocated_instances_; - Work(RayTask task, + Work(RayLease lease, bool grant_or_reject, bool is_selected_based_on_locality, rpc::RequestWorkerLeaseReply *reply, std::function callback, WorkStatus status = WorkStatus::WAITING) - : task_(std::move(task)), + : lease_(std::move(lease)), grant_or_reject_(grant_or_reject), is_selected_based_on_locality_(is_selected_based_on_locality), reply_(reply), diff --git a/src/ray/raylet/scheduling/local_task_manager_interface.h b/src/ray/raylet/scheduling/local_lease_manager_interface.h similarity index 57% rename from src/ray/raylet/scheduling/local_task_manager_interface.h rename to src/ray/raylet/scheduling/local_lease_manager_interface.h index 3eae10859b0d..dedf7ef53b98 100644 --- a/src/ray/raylet/scheduling/local_task_manager_interface.h +++ b/src/ray/raylet/scheduling/local_lease_manager_interface.h @@ -19,7 +19,7 @@ #include #include "absl/container/flat_hash_map.h" -#include "ray/common/task/task.h" +#include "ray/common/lease/lease.h" #include "ray/raylet/scheduling/internal.h" namespace ray { @@ -28,33 +28,33 @@ namespace raylet { // Forward declaration class WorkerInterface; -/// Manages the lifetime of a task on the local node. It receives request from -/// cluster_task_manager and tries to execute the task locally. -/// Read raylet/local_task_manager.h for more information. -class ILocalTaskManager { +/// Manages the lifetime of a lease on the local node. It receives request from +/// cluster_lease_manager and tries to execute the lease locally. +/// Read raylet/local_lease_manager.h for more information. +class LocalLeaseManagerInterface { public: - virtual ~ILocalTaskManager() = default; + virtual ~LocalLeaseManagerInterface() = default; - /// Queue task and schedule. - virtual void QueueAndScheduleTask(std::shared_ptr work) = 0; + /// Queue lease and schedule. + virtual void QueueAndScheduleLease(std::shared_ptr work) = 0; - // Schedule and dispatch tasks. - virtual void ScheduleAndDispatchTasks() = 0; + // Schedule and grant leases. + virtual void ScheduleAndGrantLeases() = 0; - /// Attempt to cancel all queued tasks that match the predicate. + /// Attempt to cancel all queued leases that match the predicate. /// - /// \param predicate: A function that returns true if a task needs to be cancelled. + /// \param predicate: A function that returns true if a lease needs to be cancelled. /// \param failure_type: The reason for cancellation. /// \param scheduling_failure_message: The reason message for cancellation. - /// \return True if any task was successfully cancelled. - virtual bool CancelTasks( + /// \return True if any lease was successfully cancelled. + virtual bool CancelLeases( std::function &)> predicate, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) = 0; virtual const absl::flat_hash_map>> - &GetTaskToDispatch() const = 0; + &GetLeasesToGrant() const = 0; virtual const absl::flat_hash_map> @@ -66,12 +66,12 @@ class ILocalTaskManager { virtual void ClearWorkerBacklog(const WorkerID &worker_id) = 0; - virtual const RayTask *AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const = 0; + virtual const RayLease *AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const = 0; - virtual void TasksUnblocked(const std::vector &ready_ids) = 0; + virtual void LeasesUnblocked(const std::vector &ready_ids) = 0; - virtual void TaskFinished(std::shared_ptr worker, RayTask *task) = 0; + virtual void CleanupLease(std::shared_ptr worker, RayLease *lease) = 0; virtual void ReleaseWorkerResources(std::shared_ptr worker) = 0; @@ -87,39 +87,38 @@ class ILocalTaskManager { virtual void DebugStr(std::stringstream &buffer) const = 0; - virtual size_t GetNumTaskSpilled() const = 0; - virtual size_t GetNumWaitingTaskSpilled() const = 0; - virtual size_t GetNumUnschedulableTaskSpilled() const = 0; + virtual size_t GetNumLeaseSpilled() const = 0; + virtual size_t GetNumWaitingLeaseSpilled() const = 0; + virtual size_t GetNumUnschedulableLeaseSpilled() const = 0; }; -/// A noop local task manager. It is a no-op class. We need this because there's no -/// "LocalTaskManager" when the `ClusterTaskManager` is used within GCS. In the long term, -/// we should make `ClusterTaskManager` not aware of `LocalTaskManager`. -class NoopLocalTaskManager : public ILocalTaskManager { +/// A noop local lease manager. It is a no-op class. We need this because there's no +/// "LocalLeaseManager" when the `ClusterLeaseManager` is used within GCS. In the long +/// term, we should make `ClusterLeaseManager` not aware of `LocalLeaseManager`. +class NoopLocalLeaseManager : public LocalLeaseManagerInterface { public: - NoopLocalTaskManager() = default; + NoopLocalLeaseManager() = default; - /// Queue task and schedule. - void QueueAndScheduleTask(std::shared_ptr work) override { + void QueueAndScheduleLease(std::shared_ptr work) override { RAY_CHECK(false) - << "This function should never be called by gcs' local task manager."; + << "This function should never be called by gcs' local lease manager."; } - // Schedule and dispatch tasks. - void ScheduleAndDispatchTasks() override {} + void ScheduleAndGrantLeases() override {} - bool CancelTasks(std::function &)> predicate, - rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, - const std::string &scheduling_failure_message) override { + bool CancelLeases( + std::function &)> predicate, + rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, + const std::string &scheduling_failure_message) override { return false; } const absl::flat_hash_map>> - &GetTaskToDispatch() const override { + &GetLeasesToGrant() const override { static const absl::flat_hash_map>> - tasks_to_dispatch; - return tasks_to_dispatch; + leases_to_grant; + return leases_to_grant; } const absl::flat_hash_map> @@ -136,14 +135,14 @@ class NoopLocalTaskManager : public ILocalTaskManager { void ClearWorkerBacklog(const WorkerID &worker_id) override {} - const RayTask *AnyPendingTasksForResourceAcquisition( - int *num_pending_actor_creation, int *num_pending_tasks) const override { + const RayLease *AnyPendingLeasesForResourceAcquisition( + int *num_pending_actor_creation, int *num_pending_leases) const override { return nullptr; } - void TasksUnblocked(const std::vector &ready_ids) override {} + void LeasesUnblocked(const std::vector &ready_ids) override {} - void TaskFinished(std::shared_ptr worker, RayTask *task) override {} + void CleanupLease(std::shared_ptr worker, RayLease *lease) override {} void ReleaseWorkerResources(std::shared_ptr worker) override {} @@ -163,9 +162,9 @@ class NoopLocalTaskManager : public ILocalTaskManager { void DebugStr(std::stringstream &buffer) const override {} - size_t GetNumTaskSpilled() const override { return 0; } - size_t GetNumWaitingTaskSpilled() const override { return 0; } - size_t GetNumUnschedulableTaskSpilled() const override { return 0; } + size_t GetNumLeaseSpilled() const override { return 0; } + size_t GetNumWaitingLeaseSpilled() const override { return 0; } + size_t GetNumUnschedulableLeaseSpilled() const override { return 0; } }; } // namespace raylet diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc index 597e7ddf5277..35be2849e6da 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc @@ -28,17 +28,17 @@ namespace raylet { SchedulerResourceReporter::SchedulerResourceReporter( const absl::flat_hash_map>> - &tasks_to_schedule, + &leases_to_schedule, const absl::flat_hash_map>> - &infeasible_tasks, - const ILocalTaskManager &local_task_manager) + &infeasible_leases, + const LocalLeaseManagerInterface &local_lease_manager) : max_resource_shapes_per_load_report_( RayConfig::instance().max_resource_shapes_per_load_report()), - tasks_to_schedule_(tasks_to_schedule), - tasks_to_dispatch_(local_task_manager.GetTaskToDispatch()), - infeasible_tasks_(infeasible_tasks), - backlog_tracker_(local_task_manager.GetBackLogTracker()) {} + leases_to_schedule_(leases_to_schedule), + leases_to_grant_(local_lease_manager.GetLeasesToGrant()), + infeasible_leases_(infeasible_leases), + backlog_tracker_(local_lease_manager.GetBackLogTracker()) {} int64_t SchedulerResourceReporter::TotalBacklogSize( SchedulingClass scheduling_class) const { @@ -133,22 +133,23 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons }; fill_resource_usage_helper( - tasks_to_schedule_ | boost::adaptors::transformed(transform_func), false); - auto tasks_to_dispatch_range = - tasks_to_dispatch_ | boost::adaptors::transformed([](const auto &pair) { + leases_to_schedule_ | boost::adaptors::transformed(transform_func), false); + auto leases_to_grant_range = + leases_to_grant_ | boost::adaptors::transformed([](const auto &pair) { auto cnt = pair.second.size(); - // We should only report dispatching tasks that do not have resources allocated. - for (const auto &task : pair.second) { - if (task->allocated_instances_) { + // We should only report leases to be granted that do not have resources + // allocated. + for (const auto &lease : pair.second) { + if (lease->allocated_instances_) { cnt--; } } return std::make_pair(pair.first, cnt); }); - fill_resource_usage_helper(tasks_to_dispatch_range, false); + fill_resource_usage_helper(leases_to_grant_range, false); fill_resource_usage_helper( - infeasible_tasks_ | boost::adaptors::transformed(transform_func), true); + infeasible_leases_ | boost::adaptors::transformed(transform_func), true); auto backlog_tracker_range = backlog_tracker_ | boost::adaptors::transformed([](const auto &pair) { return std::make_pair(pair.first, 0); @@ -169,10 +170,10 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons void SchedulerResourceReporter::FillPendingActorCountByShape( rpc::ResourcesData &data) const { absl::flat_hash_map> pending_count_by_shape; - for (const auto &[scheduling_class, queue] : infeasible_tasks_) { + for (const auto &[scheduling_class, queue] : infeasible_leases_) { pending_count_by_shape[scheduling_class].first = queue.size(); } - for (const auto &[scheduling_class, queue] : tasks_to_schedule_) { + for (const auto &[scheduling_class, queue] : leases_to_schedule_) { pending_count_by_shape[scheduling_class].second = queue.size(); } diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.h b/src/ray/raylet/scheduling/scheduler_resource_reporter.h index 29c3f9818910..3357bd484a3f 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.h +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.h @@ -20,7 +20,7 @@ #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" #include "ray/raylet/scheduling/internal.h" -#include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/raylet/scheduling/local_lease_manager_interface.h" namespace ray { namespace raylet { @@ -31,11 +31,11 @@ class SchedulerResourceReporter { SchedulerResourceReporter( const absl::flat_hash_map>> - &tasks_to_schedule, + &leases_to_schedule, const absl::flat_hash_map>> - &infeasible_tasks, - const ILocalTaskManager &local_task_manager); + &infeasible_leases, + const LocalLeaseManagerInterface &local_lease_manager); /// Populate the relevant parts of the heartbeat table. This is intended for /// sending resource usage of raylet to gcs. In particular, this should fill in @@ -56,13 +56,13 @@ class SchedulerResourceReporter { const int64_t max_resource_shapes_per_load_report_; const absl::flat_hash_map>> - &tasks_to_schedule_; + &leases_to_schedule_; const absl::flat_hash_map>> - &tasks_to_dispatch_; + &leases_to_grant_; const absl::flat_hash_map>> - &infeasible_tasks_; + &infeasible_leases_; const absl::flat_hash_map> &backlog_tracker_; diff --git a/src/ray/raylet/scheduling/scheduler_stats.cc b/src/ray/raylet/scheduling/scheduler_stats.cc index 4b62d8e5fae4..0534c80dafd6 100644 --- a/src/ray/raylet/scheduling/scheduler_stats.cc +++ b/src/ray/raylet/scheduling/scheduler_stats.cc @@ -18,16 +18,16 @@ #include #include -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/stats/metric_defs.h" namespace ray { namespace raylet { -SchedulerStats::SchedulerStats(const ClusterTaskManager &cluster_task_manager, - const ILocalTaskManager &local_task_manager) - : cluster_task_manager_(cluster_task_manager), - local_task_manager_(local_task_manager) {} +SchedulerStats::SchedulerStats(const ClusterLeaseManager &cluster_lease_manager, + const LocalLeaseManagerInterface &local_lease_manager) + : cluster_lease_manager_(cluster_lease_manager), + local_lease_manager_(local_lease_manager) {} void SchedulerStats::ComputeStats() { auto accumulator = @@ -41,11 +41,11 @@ void SchedulerStats::ComputeStats() { size_t num_worker_not_started_by_job_config_not_exist = 0; size_t num_worker_not_started_by_registration_timeout = 0; size_t num_tasks_waiting_for_workers = 0; - size_t num_cancelled_tasks = 0; + size_t num_cancelled_leases = 0; - size_t num_infeasible_tasks = - std::accumulate(cluster_task_manager_.infeasible_tasks_.begin(), - cluster_task_manager_.infeasible_tasks_.end(), + size_t num_infeasible_leases = + std::accumulate(cluster_lease_manager_.infeasible_leases_.begin(), + cluster_lease_manager_.infeasible_leases_.end(), static_cast(0), accumulator); @@ -58,7 +58,7 @@ void SchedulerStats::ComputeStats() { &num_worker_not_started_by_job_config_not_exist, &num_worker_not_started_by_registration_timeout, &num_tasks_waiting_for_workers, - &num_cancelled_tasks]( + &num_cancelled_leases]( size_t state, const std::pair< int, @@ -70,7 +70,7 @@ void SchedulerStats::ComputeStats() { if (work->GetState() == internal::WorkStatus::WAITING_FOR_WORKER) { num_tasks_waiting_for_workers += 1; } else if (work->GetState() == internal::WorkStatus::CANCELLED) { - num_cancelled_tasks += 1; + num_cancelled_leases += 1; } else if (work->GetUnscheduledCause() == internal::UnscheduledWorkCause::WAITING_FOR_RESOURCE_ACQUISITION) { num_waiting_for_resource += 1; @@ -90,14 +90,14 @@ void SchedulerStats::ComputeStats() { } return state + pair.second.size(); }; - size_t num_tasks_to_schedule = - std::accumulate(cluster_task_manager_.tasks_to_schedule_.begin(), - cluster_task_manager_.tasks_to_schedule_.end(), + size_t num_leases_to_schedule = + std::accumulate(cluster_lease_manager_.leases_to_schedule_.begin(), + cluster_lease_manager_.leases_to_schedule_.end(), static_cast(0), per_work_accumulator); - size_t num_tasks_to_dispatch = - std::accumulate(local_task_manager_.GetTaskToDispatch().begin(), - local_task_manager_.GetTaskToDispatch().end(), + size_t num_leases_to_grant = + std::accumulate(local_lease_manager_.GetLeasesToGrant().begin(), + local_lease_manager_.GetLeasesToGrant().end(), static_cast(0), per_work_accumulator); @@ -110,21 +110,21 @@ void SchedulerStats::ComputeStats() { num_worker_not_started_by_registration_timeout_ = num_worker_not_started_by_registration_timeout; num_tasks_waiting_for_workers_ = num_tasks_waiting_for_workers; - num_cancelled_tasks_ = num_cancelled_tasks; - num_infeasible_tasks_ = num_infeasible_tasks; - num_tasks_to_schedule_ = num_tasks_to_schedule; - num_tasks_to_dispatch_ = num_tasks_to_dispatch; + num_cancelled_leases_ = num_cancelled_leases; + num_infeasible_leases_ = num_infeasible_leases; + num_leases_to_schedule_ = num_leases_to_schedule; + num_leases_to_grant_ = num_leases_to_grant; } void SchedulerStats::RecordMetrics() { /// This method intentionally doesn't call ComputeStats() because /// that function is expensive. ComputeStats is called by ComputeAndReportDebugStr /// method and they are always periodically called by node manager. - ray_metric_num_spilled_tasks_.Record(metric_tasks_spilled_ + - local_task_manager_.GetNumTaskSpilled()); - local_task_manager_.RecordMetrics(); + ray_metric_num_spilled_tasks_.Record(metric_leases_spilled_ + + local_lease_manager_.GetNumLeaseSpilled()); + local_lease_manager_.RecordMetrics(); ray_metric_num_infeasible_scheduling_classes_.Record( - cluster_task_manager_.infeasible_tasks_.size()); + cluster_lease_manager_.infeasible_leases_.size()); /// Worker startup failure ray::stats::STATS_scheduler_failed_worker_startup_total.Record( num_worker_not_started_by_job_config_not_exist_, "JobConfigMissing"); @@ -134,16 +134,16 @@ void SchedulerStats::RecordMetrics() { num_worker_not_started_by_process_rate_limit_, "RateLimited"); /// Queued tasks. - ray::stats::STATS_scheduler_tasks.Record(num_cancelled_tasks_, "Cancelled"); - ray::stats::STATS_scheduler_tasks.Record(num_tasks_to_dispatch_, "Dispatched"); - ray::stats::STATS_scheduler_tasks.Record(num_tasks_to_schedule_, "Received"); - ray::stats::STATS_scheduler_tasks.Record(local_task_manager_.GetNumWaitingTaskSpilled(), - "SpilledWaiting"); + ray::stats::STATS_scheduler_tasks.Record(num_cancelled_leases_, "Cancelled"); + ray::stats::STATS_scheduler_tasks.Record(num_leases_to_grant_, "Dispatched"); + ray::stats::STATS_scheduler_tasks.Record(num_leases_to_schedule_, "Received"); ray::stats::STATS_scheduler_tasks.Record( - local_task_manager_.GetNumUnschedulableTaskSpilled(), "SpilledUnschedulable"); + local_lease_manager_.GetNumWaitingLeaseSpilled(), "SpilledWaiting"); + ray::stats::STATS_scheduler_tasks.Record( + local_lease_manager_.GetNumUnschedulableLeaseSpilled(), "SpilledUnschedulable"); /// Pending task count. - ray::stats::STATS_scheduler_unscheduleable_tasks.Record(num_infeasible_tasks_, + ray::stats::STATS_scheduler_unscheduleable_tasks.Record(num_infeasible_leases_, "Infeasible"); ray::stats::STATS_scheduler_unscheduleable_tasks.Record(num_waiting_for_resource_, "WaitingForResources"); @@ -157,17 +157,17 @@ void SchedulerStats::RecordMetrics() { std::string SchedulerStats::ComputeAndReportDebugStr() { ComputeStats(); - if (num_tasks_to_schedule_ + num_tasks_to_dispatch_ + num_infeasible_tasks_ > 1000) { + if (num_leases_to_schedule_ + num_leases_to_grant_ + num_infeasible_leases_ > 1000) { RAY_LOG(WARNING) << "More than 1000 tasks are queued for scheduling on this node. " "This can slow down the raylet."; } std::stringstream buffer; - buffer << "========== Node: " << cluster_task_manager_.self_node_id_ + buffer << "========== Node: " << cluster_lease_manager_.self_node_id_ << " =================\n"; - buffer << "Infeasible queue length: " << num_infeasible_tasks_ << "\n"; - buffer << "Schedule queue length: " << num_tasks_to_schedule_ << "\n"; - buffer << "Dispatch queue length: " << num_tasks_to_dispatch_ << "\n"; + buffer << "Infeasible queue length: " << num_infeasible_leases_ << "\n"; + buffer << "Schedule queue length: " << num_leases_to_schedule_ << "\n"; + buffer << "Grant queue length: " << num_leases_to_grant_ << "\n"; buffer << "num_waiting_for_resource: " << num_waiting_for_resource_ << "\n"; buffer << "num_waiting_for_plasma_memory: " << num_waiting_for_plasma_memory_ << "\n"; buffer << "num_waiting_for_remote_node_resources: " @@ -177,16 +177,16 @@ std::string SchedulerStats::ComputeAndReportDebugStr() { buffer << "num_worker_not_started_by_registration_timeout: " << num_worker_not_started_by_registration_timeout_ << "\n"; buffer << "num_tasks_waiting_for_workers: " << num_tasks_waiting_for_workers_ << "\n"; - buffer << "num_cancelled_tasks: " << num_cancelled_tasks_ << "\n"; + buffer << "num_cancelled_leases: " << num_cancelled_leases_ << "\n"; buffer << "cluster_resource_scheduler state: " - << cluster_task_manager_.cluster_resource_scheduler_.DebugString() << "\n"; - local_task_manager_.DebugStr(buffer); + << cluster_lease_manager_.cluster_resource_scheduler_.DebugString() << "\n"; + local_lease_manager_.DebugStr(buffer); buffer << "==================================================\n"; return buffer.str(); } -void SchedulerStats::TaskSpilled() { metric_tasks_spilled_++; } +void SchedulerStats::LeaseSpilled() { metric_leases_spilled_++; } } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/scheduling/scheduler_stats.h b/src/ray/raylet/scheduling/scheduler_stats.h index 97dc0f9a1858..3974ba6f0a2e 100644 --- a/src/ray/raylet/scheduling/scheduler_stats.h +++ b/src/ray/raylet/scheduling/scheduler_stats.h @@ -20,19 +20,19 @@ #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" #include "ray/raylet/scheduling/internal.h" -#include "ray/raylet/scheduling/local_task_manager_interface.h" +#include "ray/raylet/scheduling/local_lease_manager_interface.h" #include "ray/stats/metric.h" namespace ray { namespace raylet { -class ClusterTaskManager; +class ClusterLeaseManager; // Helper class that collects and reports scheduler's metrics into counters or human // readable string. class SchedulerStats { public: - explicit SchedulerStats(const ClusterTaskManager &cluster_task_manager, - const ILocalTaskManager &local_task_manager); + explicit SchedulerStats(const ClusterLeaseManager &cluster_lease_manager, + const LocalLeaseManagerInterface &local_lease_manager); // Report metrics doesn't recompute the stats. void RecordMetrics(); @@ -40,19 +40,19 @@ class SchedulerStats { // Recompute the stats and report the result as string. std::string ComputeAndReportDebugStr(); - // increase the task spilled counter. - void TaskSpilled(); + // increase the lease spilled counter. + void LeaseSpilled(); private: // recompute the metrics. void ComputeStats(); - const ClusterTaskManager &cluster_task_manager_; - const ILocalTaskManager &local_task_manager_; + const ClusterLeaseManager &cluster_lease_manager_; + const LocalLeaseManagerInterface &local_lease_manager_; /// Number of tasks that are spilled to other /// nodes because it cannot be scheduled locally. - int64_t metric_tasks_spilled_ = 0; + int64_t metric_leases_spilled_ = 0; /// Number of tasks that are waiting for /// resources to be available locally. int64_t num_waiting_for_resource_ = 0; @@ -71,14 +71,14 @@ class SchedulerStats { int64_t num_worker_not_started_by_process_rate_limit_ = 0; /// Number of tasks that are waiting for worker processes to start. int64_t num_tasks_waiting_for_workers_ = 0; - /// Number of cancelled tasks. - int64_t num_cancelled_tasks_ = 0; - /// Number of infeasible tasks. - int64_t num_infeasible_tasks_ = 0; - /// Number of tasks to schedule. - int64_t num_tasks_to_schedule_ = 0; - /// Number of tasks to dispatch. - int64_t num_tasks_to_dispatch_ = 0; + /// Number of cancelled leases. + int64_t num_cancelled_leases_ = 0; + /// Number of infeasible leases. + int64_t num_infeasible_leases_ = 0; + /// Number of leases to schedule. + int64_t num_leases_to_schedule_ = 0; + /// Number of leases to grant. + int64_t num_leases_to_grant_ = 0; /// Ray metrics ray::stats::Gauge ray_metric_num_spilled_tasks_{ diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index de54b3c34d61..661e52007f1f 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -9,8 +9,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/ray/common:lease", "//src/ray/common:ray_config", - "//src/ray/common:task_common", "//src/ray/common:test_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", @@ -47,20 +47,21 @@ ray_cc_test( ) ray_cc_test( - name = "cluster_task_manager_test", + name = "cluster_lease_manager_test", size = "small", srcs = [ - "cluster_task_manager_test.cc", + "cluster_lease_manager_test.cc", ], tags = ["team:core"], deps = [ "//:ray_mock", "//src/ray/common:id", + "//src/ray/common:lease", "//src/ray/common:task_common", "//src/ray/common:test_util", - "//src/ray/raylet:local_task_manager", + "//src/ray/raylet:local_lease_manager", + "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/raylet/scheduling:cluster_task_manager", "//src/ray/raylet/tests:util", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc similarity index 63% rename from src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc rename to src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc index 9ce9ccaca635..8d6c3db5890f 100644 --- a/src/ray/raylet/scheduling/tests/cluster_task_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc @@ -14,7 +14,7 @@ // limitations under the License. // clang-format off -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include #include @@ -29,10 +29,10 @@ #include "ray/common/id.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/scheduling/scheduling_ids.h" -#include "ray/common/task/task.h" +#include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" -#include "ray/raylet/local_task_manager.h" +#include "ray/raylet/local_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/tests/util.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" @@ -48,10 +48,10 @@ class MockWorkerPool : public WorkerPoolInterface { public: MockWorkerPool() : num_pops(0) {} - void PopWorker(const TaskSpecification &task_spec, + void PopWorker(const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) override { num_pops++; - const int runtime_env_hash = task_spec.GetRuntimeEnvHash(); + const int runtime_env_hash = lease_spec.GetRuntimeEnvHash(); callbacks[runtime_env_hash].push_back(callback); } @@ -87,7 +87,7 @@ class MockWorkerPool : public WorkerPoolInterface { RAY_CHECK(status != PopWorkerStatus::OK); for (const auto &pair : callbacks) { for (const auto &callback : pair.second) { - // No task should be dispatched. + // No lease should be dispatched. ASSERT_FALSE( callback(nullptr, status, @@ -205,7 +205,7 @@ class MockWorkerPool : public WorkerPoolInterface { RAY_CHECK(false) << "Not used."; } - void PrestartWorkers(const TaskSpecification &task_spec, + void PrestartWorkers(const LeaseSpecification &lease_spec, int64_t backlog_size) override { RAY_CHECK(false) << "Not used."; } @@ -271,12 +271,13 @@ std::shared_ptr CreateSingleNodeScheduler( return scheduler; } -RayTask CreateTask( +RayLease CreateLease( const std::unordered_map &required_resources, int num_args = 0, std::vector args = {}, const std::shared_ptr runtime_env_info = nullptr, - rpc::SchedulingStrategy scheduling_strategy = rpc::SchedulingStrategy()) { + rpc::SchedulingStrategy scheduling_strategy = rpc::SchedulingStrategy(), + const LeaseID &lease_id = LeaseID::FromRandom()) { TaskSpecBuilder spec_builder; TaskID id = RandomTaskId(); JobID job_id = RandomJobId(); @@ -317,19 +318,21 @@ RayTask CreateTask( } spec_builder.SetNormalTaskSpec(0, false, "", scheduling_strategy, ActorID::Nil()); - - return RayTask(std::move(spec_builder).ConsumeAndBuild()); + TaskSpecification spec = std::move(spec_builder).ConsumeAndBuild(); + LeaseSpecification lease_spec(spec.GetMessage()); + lease_spec.GetMutableMessage().set_lease_id(lease_id.Binary()); + return RayLease(std::move(lease_spec)); } -class MockTaskDependencyManager : public TaskDependencyManagerInterface { +class MockLeaseDependencyManager : public LeaseDependencyManagerInterface { public: - explicit MockTaskDependencyManager(std::unordered_set &missing_objects) + explicit MockLeaseDependencyManager(std::unordered_set &missing_objects) : missing_objects_(missing_objects) {} - bool RequestTaskDependencies(const TaskID &task_id, - const std::vector &required_objects, - const TaskMetricsKey &task_key) { - RAY_CHECK(subscribed_tasks.insert(task_id).second); + bool RequestLeaseDependencies(const LeaseID &lease_id, + const std::vector &required_objects, + const TaskMetricsKey &task_key) { + RAY_CHECK(subscribed_leases.insert(lease_id).second); for (auto &obj_ref : required_objects) { if (missing_objects_.find(ObjectRefToId(obj_ref)) != missing_objects_.end()) { return false; @@ -338,19 +341,19 @@ class MockTaskDependencyManager : public TaskDependencyManagerInterface { return true; } - void RemoveTaskDependencies(const TaskID &task_id) { - RAY_CHECK(subscribed_tasks.erase(task_id)); + void RemoveLeaseDependencies(const LeaseID &lease_id) { + RAY_CHECK(subscribed_leases.erase(lease_id)); } - bool TaskDependenciesBlocked(const TaskID &task_id) const { - return blocked_tasks.count(task_id); + bool LeaseDependenciesBlocked(const LeaseID &lease_id) const { + return blocked_leases.count(lease_id); } bool CheckObjectLocal(const ObjectID &object_id) const { return true; } std::unordered_set &missing_objects_; - std::unordered_set subscribed_tasks; - std::unordered_set blocked_tasks; + std::unordered_set subscribed_leases; + std::unordered_set blocked_leases; }; class FeatureFlagEnvironment : public ::testing::Environment { @@ -369,19 +372,19 @@ class FeatureFlagEnvironment : public ::testing::Environment { testing::Environment *const env = ::testing::AddGlobalTestEnvironment(new FeatureFlagEnvironment); -class ClusterTaskManagerTest : public ::testing::Test { +class ClusterLeaseManagerTest : public ::testing::Test { public: - explicit ClusterTaskManagerTest(double num_cpus_at_head = 8.0, - double num_gpus_at_head = 0.0) + explicit ClusterLeaseManagerTest(double num_cpus_at_head = 8.0, + double num_gpus_at_head = 0.0) : gcs_client_(std::make_unique()), id_(NodeID::FromRandom()), scheduler_(CreateSingleNodeScheduler( id_.Binary(), num_cpus_at_head, num_gpus_at_head, *gcs_client_)), - dependency_manager_(missing_objects_), - local_task_manager_(std::make_unique( + lease_dependency_manager_(missing_objects_), + local_lease_manager_(std::make_unique( id_, *scheduler_, - dependency_manager_, + lease_dependency_manager_, /* get_node_info= */ [this](const NodeID &node_id) -> const rpc::GcsNodeInfo * { node_info_calls_++; @@ -392,7 +395,7 @@ class ClusterTaskManagerTest : public ::testing::Test { }, pool_, leased_workers_, - /* get_task_arguments= */ + /* get_lease_args= */ [this](const std::vector &object_ids, std::vector> *results) { for (auto &obj_id : object_ids) { @@ -404,9 +407,9 @@ class ClusterTaskManagerTest : public ::testing::Test { } return true; }, - /*max_pinned_task_arguments_bytes=*/1000, + /*max_pinned_lease_args_bytes=*/1000, /*get_time=*/[this]() { return current_time_ms_; })), - task_manager_( + lease_manager_( id_, *scheduler_, /* get_node_info= */ @@ -417,9 +420,9 @@ class ClusterTaskManagerTest : public ::testing::Test { } return nullptr; }, - /* announce_infeasible_task= */ - [this](const RayTask &task) { announce_infeasible_task_calls_++; }, - *local_task_manager_, + /* announce_infeasible_lease= */ + [this](const RayLease &lease) { announce_infeasible_lease_calls_++; }, + *local_lease_manager_, /*get_time=*/[this]() { return current_time_ms_; }) { RayConfig::instance().initialize("{\"scheduler_top_k_absolute\": 1}"); } @@ -455,31 +458,31 @@ class ClusterTaskManagerTest : public ::testing::Test { } void AssertNoLeaks() { - ASSERT_TRUE(task_manager_.tasks_to_schedule_.empty()); - ASSERT_TRUE(local_task_manager_->tasks_to_dispatch_.empty()); - ASSERT_TRUE(local_task_manager_->waiting_tasks_index_.empty()); - ASSERT_TRUE(local_task_manager_->waiting_task_queue_.empty()); - ASSERT_TRUE(task_manager_.infeasible_tasks_.empty()); - ASSERT_TRUE(local_task_manager_->executing_task_args_.empty()); - ASSERT_TRUE(local_task_manager_->pinned_task_arguments_.empty()); - ASSERT_TRUE(local_task_manager_->info_by_sched_cls_.empty()); - ASSERT_EQ(local_task_manager_->pinned_task_arguments_bytes_, 0); - ASSERT_TRUE(dependency_manager_.subscribed_tasks.empty()); - } - - void AssertPinnedTaskArgumentsPresent(const RayTask &task) { - const auto &expected_deps = task.GetTaskSpecification().GetDependencyIds(); - ASSERT_EQ( - local_task_manager_->executing_task_args_[task.GetTaskSpecification().TaskId()], - expected_deps); + ASSERT_TRUE(lease_manager_.leases_to_schedule_.empty()); + ASSERT_TRUE(local_lease_manager_->leases_to_grant_.empty()); + ASSERT_TRUE(local_lease_manager_->waiting_leases_index_.empty()); + ASSERT_TRUE(local_lease_manager_->waiting_lease_queue_.empty()); + ASSERT_TRUE(lease_manager_.infeasible_leases_.empty()); + ASSERT_TRUE(local_lease_manager_->granted_lease_args_.empty()); + ASSERT_TRUE(local_lease_manager_->pinned_lease_arguments_.empty()); + ASSERT_TRUE(local_lease_manager_->info_by_sched_cls_.empty()); + ASSERT_EQ(local_lease_manager_->pinned_lease_arguments_bytes_, 0); + ASSERT_TRUE(lease_dependency_manager_.subscribed_leases.empty()); + } + + void AssertPinnedLeaseArgumentsPresent(const RayLease &lease) { + const auto &expected_deps = lease.GetLeaseSpecification().GetDependencyIds(); + ASSERT_EQ(local_lease_manager_ + ->granted_lease_args_[lease.GetLeaseSpecification().LeaseId()], + expected_deps); for (auto &arg : expected_deps) { - ASSERT_TRUE(local_task_manager_->pinned_task_arguments_.count(arg)); + ASSERT_TRUE(local_lease_manager_->pinned_lease_arguments_.count(arg)); } } - int NumTasksToDispatchWithStatus(internal::WorkStatus status) { + int NumLeasesToDispatchWithStatus(internal::WorkStatus status) { int count = 0; - for (const auto &pair : local_task_manager_->tasks_to_dispatch_) { + for (const auto &pair : local_lease_manager_->leases_to_grant_) { for (const auto &work : pair.second) { if (work->GetState() == status) { count++; @@ -489,10 +492,10 @@ class ClusterTaskManagerTest : public ::testing::Test { return count; } - int NumRunningTasks() { + int NumRunningLeases() { int count = 0; - for (const auto &pair : local_task_manager_->info_by_sched_cls_) { - count += (pair.second.running_tasks.size()); + for (const auto &pair : local_lease_manager_->info_by_sched_cls_) { + count += (pair.second.granted_leases.size()); } return count; @@ -508,36 +511,36 @@ class ClusterTaskManagerTest : public ::testing::Test { int default_arg_size_ = 10; int node_info_calls_ = 0; - int announce_infeasible_task_calls_ = 0; + int announce_infeasible_lease_calls_ = 0; absl::flat_hash_map node_info_; int64_t current_time_ms_ = 0; - MockTaskDependencyManager dependency_manager_; - std::unique_ptr local_task_manager_; - ClusterTaskManager task_manager_; + MockLeaseDependencyManager lease_dependency_manager_; + std::unique_ptr local_lease_manager_; + ClusterLeaseManager lease_manager_; }; -// Same as ClusterTaskManagerTest, but the head node starts with 4.0 num gpus. -class ClusterTaskManagerTestWithGPUsAtHead : public ClusterTaskManagerTest { +// Same as ClusterLeaseManagerTest, but the head node starts with 4.0 num gpus. +class ClusterLeaseManagerTestWithGPUsAtHead : public ClusterLeaseManagerTest { public: - ClusterTaskManagerTestWithGPUsAtHead() - : ClusterTaskManagerTest(/*num_cpus_at_head=*/8.0, /*num_gpus_at_head=*/4.0) {} + ClusterLeaseManagerTestWithGPUsAtHead() + : ClusterLeaseManagerTest(/*num_cpus_at_head=*/8.0, /*num_gpus_at_head=*/4.0) {} }; -// Same as ClusterTaskManagerTest, but the head node starts with 0.0 num cpus. -class ClusterTaskManagerTestWithoutCPUsAtHead : public ClusterTaskManagerTest { +// Same as ClusterLeaseManagerTest, but the head node starts with 0.0 num cpus. +class ClusterLeaseManagerTestWithoutCPUsAtHead : public ClusterLeaseManagerTest { public: - ClusterTaskManagerTestWithoutCPUsAtHead() - : ClusterTaskManagerTest(/*num_cpus_at_head=*/0.0) {} + ClusterLeaseManagerTestWithoutCPUsAtHead() + : ClusterLeaseManagerTest(/*num_cpus_at_head=*/0.0) {} }; -TEST_F(ClusterTaskManagerTest, BasicTest) { +TEST_F(ClusterLeaseManagerTest, BasicTest) { /* Test basic scheduler functionality: 1. Queue and attempt to schedule/dispatch atest with no workers available 2. A worker becomes available, dispatch again. */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -546,7 +549,7 @@ TEST_F(ClusterTaskManagerTest, BasicTest) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); @@ -562,21 +565,21 @@ TEST_F(ClusterTaskManagerTest, BasicTest) { ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(node_info_calls_, 0); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, IdempotencyTest) { +TEST_F(ClusterLeaseManagerTest, IdempotencyTest) { /* - A few task manager methods are meant to be idempotent. - * `TaskFinished` + A few lease manager methods are meant to be idempotent. + * `CleanupLease` * `ReleaseCpuResourcesFromBlockedWorker` * `ReturnCpuResourcesToUnblockedWorker` */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -585,7 +588,7 @@ TEST_F(ClusterTaskManagerTest, IdempotencyTest) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); @@ -603,30 +606,30 @@ TEST_F(ClusterTaskManagerTest, IdempotencyTest) { ASSERT_EQ(scheduler_->GetLocalResourceManager().GetLocalAvailableCpus(), 4.0); - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); ASSERT_EQ(scheduler_->GetLocalResourceManager().GetLocalAvailableCpus(), 8.0); - local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker); - local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker); + local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker); + local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker); ASSERT_EQ(scheduler_->GetLocalResourceManager().GetLocalAvailableCpus(), 4.0); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); ASSERT_EQ(scheduler_->GetLocalResourceManager().GetLocalAvailableCpus(), 8.0); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, DispatchQueueNonBlockingTest) { +TEST_F(ClusterLeaseManagerTest, GrantQueueNonBlockingTest) { /* - Test that if no worker is available for the first task in a dispatch - queue (because the runtime env in the task spec doesn't match any - available worker), other tasks in the dispatch queue can still be scheduled. + Test that if no worker is available for the first lease in a leases to grant + queue (because the runtime env in the lease spec doesn't match any + available worker), other leases in the grant queue can still be scheduled. https://github.com/ray-project/ray/issues/16226 */ @@ -639,8 +642,8 @@ TEST_F(ClusterTaskManagerTest, DispatchQueueNonBlockingTest) { runtime_env_info_A.reset(new rpc::RuntimeEnvInfo()); runtime_env_info_A->set_serialized_runtime_env(serialized_runtime_env_A); - RayTask task_A = - CreateTask(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_A); + RayLease lease_A = + CreateLease(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_A); rpc::RequestWorkerLeaseReply reply_A; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -654,18 +657,20 @@ TEST_F(ClusterTaskManagerTest, DispatchQueueNonBlockingTest) { runtime_env_info_B.reset(new rpc::RuntimeEnvInfo()); runtime_env_info_B->set_serialized_runtime_env(serialized_runtime_env_B); - RayTask task_B_1 = - CreateTask(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_B); - RayTask task_B_2 = - CreateTask(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_B); + RayLease lease_B_1 = + CreateLease(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_B); + RayLease lease_B_2 = + CreateLease(required_resources, /*num_args=*/0, /*args=*/{}, runtime_env_info_B); rpc::RequestWorkerLeaseReply reply_B_1; rpc::RequestWorkerLeaseReply reply_B_2; auto empty_callback = [](Status, std::function, std::function) {}; // Ensure task_A is not at the front of the queue. - task_manager_.QueueAndScheduleTask(task_B_1, false, false, &reply_B_1, empty_callback); - task_manager_.QueueAndScheduleTask(task_A, false, false, &reply_A, callback); - task_manager_.QueueAndScheduleTask(task_B_2, false, false, &reply_B_2, empty_callback); + lease_manager_.QueueAndScheduleLease( + lease_B_1, false, false, &reply_B_1, empty_callback); + lease_manager_.QueueAndScheduleLease(lease_A, false, false, &reply_A, callback); + lease_manager_.QueueAndScheduleLease( + lease_B_2, false, false, &reply_B_2, empty_callback); pool_.TriggerCallbacks(); // Push a worker that can only run task A. @@ -679,16 +684,16 @@ TEST_F(ClusterTaskManagerTest, DispatchQueueNonBlockingTest) { ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(node_info_calls_, 0); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task_A.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease_A.GetLeaseSpecification().LeaseId()); // task_B_1 and task_B_2 remain in the dispatch queue, so don't call AssertNoLeaks(). // AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, BlockedWorkerDiesTest) { +TEST_F(ClusterLeaseManagerTest, BlockedWorkerDiesTest) { /* Tests the edge case in which a worker crashes while it's blocked. In this case, its CPU resources should not be double freed. @@ -700,9 +705,23 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDiesTest) { scheduler_->GetLocalResourceManager().AddLocalResourceInstances( scheduling::ResourceID("CPU_group_0_aaa"), std::vector{FixedPoint(1)}); - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + WorkerID worker_id1 = WorkerID::FromRandom(); + WorkerID worker_id2 = WorkerID::FromRandom(); + LeaseID lease_id1 = LeaseID::FromWorker(worker_id1, 1); + LeaseID lease_id2 = LeaseID::FromWorker(worker_id2, 1); + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 4}}, + 0, + {}, + nullptr, + rpc::SchedulingStrategy(), + lease_id1); rpc::RequestWorkerLeaseReply reply1; - RayTask task2 = CreateTask({{"CPU_group_aaa", 1}, {"CPU_group_0_aaa", 1}}); + RayLease lease2 = CreateLease({{"CPU_group_aaa", 1}, {"CPU_group_0_aaa", 1}}, + 0, + {}, + nullptr, + rpc::SchedulingStrategy(), + lease_id2); rpc::RequestWorkerLeaseReply reply2; bool callback_occurred = false; @@ -712,25 +731,23 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDiesTest) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task1, false, false, &reply1, callback); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply1, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 0); - std::shared_ptr worker1 = - std::make_shared(WorkerID::FromRandom(), 1234); - std::shared_ptr worker2 = - std::make_shared(WorkerID::FromRandom(), 5678); + std::shared_ptr worker1 = std::make_shared(worker_id1, 1234); + std::shared_ptr worker2 = std::make_shared(worker_id2, 5678); pool_.PushWorker(std::static_pointer_cast(worker1)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply2, callback); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply2, callback); pool_.PushWorker(std::static_pointer_cast(worker2)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_TRUE(callback_occurred); @@ -739,30 +756,28 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDiesTest) { ASSERT_EQ(node_info_calls_, 0); // Block the worker. Which releases only the CPU resource. - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1); - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2); - RayTask finished_task1; - RayTask finished_task2; + RayLease finished_lease1; + RayLease finished_lease2; // If a resource was double-freed, we will crash in this call. - local_task_manager_->TaskFinished(leased_workers_[worker1->WorkerId()], - &finished_task1); - local_task_manager_->TaskFinished(leased_workers_[worker2->WorkerId()], - &finished_task2); - ASSERT_EQ(finished_task1.GetTaskSpecification().TaskId(), - task1.GetTaskSpecification().TaskId()); - ASSERT_EQ(finished_task2.GetTaskSpecification().TaskId(), - task2.GetTaskSpecification().TaskId()); + local_lease_manager_->CleanupLease(leased_workers_[worker_id1], &finished_lease1); + local_lease_manager_->CleanupLease(leased_workers_[worker_id2], &finished_lease2); + ASSERT_EQ(finished_lease1.GetLeaseSpecification().LeaseId(), + lease1.GetLeaseSpecification().LeaseId()); + ASSERT_EQ(finished_lease2.GetLeaseSpecification().LeaseId(), + lease2.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, BlockedWorkerDies2Test) { +TEST_F(ClusterLeaseManagerTest, BlockedWorkerDies2Test) { /* Same edge case as the previous test, but this time the block and finish requests happen in the opposite order. */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -771,7 +786,7 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDies2Test) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); @@ -782,7 +797,7 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDies2Test) { std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_TRUE(callback_occurred); @@ -790,23 +805,23 @@ TEST_F(ClusterTaskManagerTest, BlockedWorkerDies2Test) { ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(node_info_calls_, 0); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); // Block the worker. Which releases only the CPU resource. - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, NoFeasibleNodeTest) { +TEST_F(ClusterLeaseManagerTest, NoFeasibleNodeTest) { std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::dynamic_pointer_cast(worker)); - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 999}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 999}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -816,7 +831,7 @@ TEST_F(ClusterTaskManagerTest, NoFeasibleNodeTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_called); @@ -826,13 +841,13 @@ TEST_F(ClusterTaskManagerTest, NoFeasibleNodeTest) { ASSERT_EQ(node_info_calls_, 0); } -TEST_F(ClusterTaskManagerTest, DrainingWhileResolving) { +TEST_F(ClusterLeaseManagerTest, DrainingWhileResolving) { /* - Test the race condition in which a task is assigned to a node, but cannot + Test the race condition in which a lease is assigned to a node, but cannot run because its dependencies are unresolved. Once its dependencies are resolved, the node is being drained. */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -840,7 +855,7 @@ TEST_F(ClusterTaskManagerTest, DrainingWhileResolving) { Status, std::function, std::function) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); std::shared_ptr worker2 = @@ -855,12 +870,12 @@ TEST_F(ClusterTaskManagerTest, DrainingWhileResolving) { auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 5); - RayTask resolving_args_task = CreateTask({{ray::kCPU_ResourceLabel, 1}}, 1); - auto missing_arg = resolving_args_task.GetTaskSpecification().GetDependencyIds()[0]; + RayLease resolving_args_lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}, 1); + auto missing_arg = resolving_args_lease.GetLeaseSpecification().GetDependencyIds()[0]; missing_objects_.insert(missing_arg); rpc::RequestWorkerLeaseReply spillback_reply; - task_manager_.QueueAndScheduleTask( - resolving_args_task, false, false, &spillback_reply, callback); + lease_manager_.QueueAndScheduleLease( + resolving_args_lease, false, false, &spillback_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); @@ -872,14 +887,15 @@ TEST_F(ClusterTaskManagerTest, DrainingWhileResolving) { // Arg is resolved. missing_objects_.erase(missing_arg); - std::vector unblocked = {resolving_args_task.GetTaskSpecification().TaskId()}; - local_task_manager_->TasksUnblocked(unblocked); + std::vector unblocked = { + resolving_args_lease.GetLeaseSpecification().LeaseId()}; + local_lease_manager_->LeasesUnblocked(unblocked); ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); } -TEST_F(ClusterTaskManagerTest, ResourceTakenWhileResolving) { +TEST_F(ClusterLeaseManagerTest, ResourceTakenWhileResolving) { /* - Test the race condition in which a task is assigned to a node, but cannot + Test the race condition in which a lease is assigned to a node, but cannot run because its dependencies are unresolved. Once its dependencies are resolved, the node no longer has available resources. */ @@ -899,14 +915,14 @@ TEST_F(ClusterTaskManagerTest, ResourceTakenWhileResolving) { }; /* Blocked on dependencies */ - auto task = CreateTask({{ray::kCPU_ResourceLabel, 5}}, 2); - auto missing_arg = task.GetTaskSpecification().GetDependencyIds()[0]; + auto lease = CreateLease({{ray::kCPU_ResourceLabel, 5}}, 2); + auto missing_arg = lease.GetLeaseSpecification().GetDependencyIds()[0]; missing_objects_.insert(missing_arg); - std::unordered_set expected_subscribed_tasks = { - task.GetTaskSpecification().TaskId()}; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + std::unordered_set expected_subscribed_leases = { + lease.GetLeaseSpecification().LeaseId()}; + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - ASSERT_EQ(dependency_manager_.subscribed_tasks, expected_subscribed_tasks); + ASSERT_EQ(lease_dependency_manager_.subscribed_leases, expected_subscribed_leases); ASSERT_EQ(num_callbacks, 0); ASSERT_EQ(leased_workers_.size(), 0); @@ -915,52 +931,52 @@ TEST_F(ClusterTaskManagerTest, ResourceTakenWhileResolving) { // https://github.com/ray-project/ray/issues/13725. ASSERT_EQ(pool_.num_pops, 0); - /* This task can run */ - auto task2 = CreateTask({{ray::kCPU_ResourceLabel, 5}}, 1); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); + /* This lease can run */ + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 5}}, 1); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); pool_.TriggerCallbacks(); - ASSERT_EQ(dependency_manager_.subscribed_tasks, expected_subscribed_tasks); + ASSERT_EQ(lease_dependency_manager_.subscribed_leases, expected_subscribed_leases); - AssertPinnedTaskArgumentsPresent(task2); + AssertPinnedLeaseArgumentsPresent(lease2); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); ASSERT_EQ(pool_.num_pops, 1); - /* First task is unblocked now, but resources are no longer available */ + /* First lease is unblocked now, but resources are no longer available */ missing_objects_.erase(missing_arg); - auto id = task.GetTaskSpecification().TaskId(); - std::vector unblocked = {id}; - local_task_manager_->TasksUnblocked(unblocked); - ASSERT_EQ(dependency_manager_.subscribed_tasks, expected_subscribed_tasks); + auto id = lease.GetLeaseSpecification().LeaseId(); + std::vector unblocked = {id}; + local_lease_manager_->LeasesUnblocked(unblocked); + ASSERT_EQ(lease_dependency_manager_.subscribed_leases, expected_subscribed_leases); - AssertPinnedTaskArgumentsPresent(task2); + AssertPinnedLeaseArgumentsPresent(lease2); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); ASSERT_EQ(pool_.num_pops, 1); - /* Second task finishes, making space for the original task */ - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + /* Second lease finishes, making space for the original lease */ + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.clear(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - ASSERT_TRUE(dependency_manager_.subscribed_tasks.empty()); + ASSERT_TRUE(lease_dependency_manager_.subscribed_leases.empty()); - // Task2 is now done so task can run. - AssertPinnedTaskArgumentsPresent(task); + // Lease2 is now done so lease can run. + AssertPinnedLeaseArgumentsPresent(lease); ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(pool_.num_pops, 2); - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestIsSelectedBasedOnLocality) { +TEST_F(ClusterLeaseManagerTest, TestIsSelectedBasedOnLocality) { std::shared_ptr worker1 = std::make_shared(WorkerID::FromRandom(), 1234); std::shared_ptr worker2 = @@ -976,45 +992,45 @@ TEST_F(ClusterTaskManagerTest, TestIsSelectedBasedOnLocality) { auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 8); - auto task1 = CreateTask({{ray::kCPU_ResourceLabel, 5}}); + auto lease1 = CreateLease({{ray::kCPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply local_reply; - task_manager_.QueueAndScheduleTask( - task1, false, /*is_selected_based_on_locality=*/false, &local_reply, callback); + lease_manager_.QueueAndScheduleLease( + lease1, false, /*is_selected_based_on_locality=*/false, &local_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); - // The first task was dispatched. + // The first lease was dispatched. ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - auto task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply spillback_reply; - task_manager_.QueueAndScheduleTask( - task2, false, /*is_selected_based_on_locality=*/false, &spillback_reply, callback); + lease_manager_.QueueAndScheduleLease( + lease2, false, /*is_selected_based_on_locality=*/false, &spillback_reply, callback); pool_.TriggerCallbacks(); - // The second task was spilled. + // The second lease was spilled. ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - auto task3 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - task_manager_.QueueAndScheduleTask( - task3, false, /*is_selected_based_on_locality=*/true, &local_reply, callback); + auto lease3 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + lease_manager_.QueueAndScheduleLease( + lease3, false, /*is_selected_based_on_locality=*/true, &local_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 3); - // The third task was dispatched. + // The third lease was dispatched. ASSERT_EQ(leased_workers_.size(), 2); ASSERT_EQ(pool_.workers.size(), 0); while (!leased_workers_.empty()) { - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.erase(leased_workers_.begin()); } AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestGrantOrReject) { +TEST_F(ClusterLeaseManagerTest, TestGrantOrReject) { std::shared_ptr worker1 = std::make_shared(WorkerID::FromRandom(), 1234); std::shared_ptr worker2 = @@ -1030,49 +1046,49 @@ TEST_F(ClusterTaskManagerTest, TestGrantOrReject) { auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 8); - auto task1 = CreateTask({{ray::kCPU_ResourceLabel, 5}}); + auto lease1 = CreateLease({{ray::kCPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply local_reply; - task_manager_.QueueAndScheduleTask( - task1, /*grant_or_reject=*/false, false, &local_reply, callback); + lease_manager_.QueueAndScheduleLease( + lease1, /*grant_or_reject=*/false, false, &local_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); - // The first task was dispatched. + // The first lease was dispatched. ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - auto task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply spillback_reply; - task_manager_.QueueAndScheduleTask( - task2, /*grant_or_reject=*/false, false, &spillback_reply, callback); + lease_manager_.QueueAndScheduleLease( + lease2, /*grant_or_reject=*/false, false, &spillback_reply, callback); pool_.TriggerCallbacks(); - // The second task was spilled. + // The second lease was spilled. ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - auto task3 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - task_manager_.QueueAndScheduleTask( - task3, /*grant_or_reject=*/true, false, &local_reply, callback); + auto lease3 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + lease_manager_.QueueAndScheduleLease( + lease3, /*grant_or_reject=*/true, false, &local_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 3); - // The third task was dispatched. + // The third lease was dispatched. ASSERT_EQ(leased_workers_.size(), 2); ASSERT_EQ(pool_.workers.size(), 0); while (!leased_workers_.empty()) { - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.erase(leased_workers_.begin()); } AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestSpillAfterAssigned) { +TEST_F(ClusterLeaseManagerTest, TestSpillAfterAssigned) { /* - Test the race condition in which a task is assigned to the local node, but - it cannot be run because a different task gets assigned the resources - first. The un-runnable task should eventually get spilled back to another + Test the race condition in which a lease is assigned to the local node, but + it cannot be run because a different lease gets assigned the resources + first. The un-runnable lease should eventually get spilled back to another node. */ std::shared_ptr worker = @@ -1086,59 +1102,59 @@ TEST_F(ClusterTaskManagerTest, TestSpillAfterAssigned) { }; /* Blocked on starting a worker. */ - auto task = CreateTask({{ray::kCPU_ResourceLabel, 5}}); + auto lease = CreateLease({{ray::kCPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply local_reply; - task_manager_.QueueAndScheduleTask(task, false, false, &local_reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &local_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 0); ASSERT_EQ(leased_workers_.size(), 0); // Resources are no longer available for the second. - auto task2 = CreateTask({{ray::kCPU_ResourceLabel, 5}}); + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply reject_reply; - task_manager_.QueueAndScheduleTask( - task2, /*grant_or_reject=*/true, false, &reject_reply, callback); + lease_manager_.QueueAndScheduleLease( + lease2, /*grant_or_reject=*/true, false, &reject_reply, callback); pool_.TriggerCallbacks(); - // The second task was rejected. + // The second lease was rejected. ASSERT_EQ(num_callbacks, 1); ASSERT_TRUE(reject_reply.rejected()); ASSERT_EQ(leased_workers_.size(), 0); // Resources are no longer available for the third. - auto task3 = CreateTask({{ray::kCPU_ResourceLabel, 5}}); + auto lease3 = CreateLease({{ray::kCPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply spillback_reply; - task_manager_.QueueAndScheduleTask(task3, false, false, &spillback_reply, callback); + lease_manager_.QueueAndScheduleLease(lease3, false, false, &spillback_reply, callback); pool_.TriggerCallbacks(); - // The third task was spilled. + // The third lease was spilled. ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(spillback_reply.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(leased_workers_.size(), 0); - // Two workers start. First task was dispatched now. + // Two workers start. First lease was dispatched now. pool_.PushWorker(std::static_pointer_cast(worker)); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - // Check that all tasks got removed from the queue. + // Check that all leases got removed from the queue. ASSERT_EQ(num_callbacks, 3); - // The first task was dispatched. + // The first lease was dispatched. ASSERT_EQ(leased_workers_.size(), 1); // Leave one alive worker. ASSERT_EQ(pool_.workers.size(), 1); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestIdleNode) { - RayTask task = CreateTask({{}}); +TEST_F(ClusterLeaseManagerTest, TestIdleNode) { + RayLease lease = CreateLease({{}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -1147,7 +1163,7 @@ TEST_F(ClusterTaskManagerTest, TestIdleNode) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_TRUE(scheduler_->GetLocalResourceManager().IsLocalNodeIdle()); ASSERT_FALSE(callback_occurred); @@ -1164,7 +1180,7 @@ TEST_F(ClusterTaskManagerTest, TestIdleNode) { ASSERT_EQ(node_info_calls_, 0); } -TEST_F(ClusterTaskManagerTest, NotOKPopWorkerAfterDrainingTest) { +TEST_F(ClusterLeaseManagerTest, NotOKPopWorkerAfterDrainingTest) { /* Test cases where the node is being drained after PopWorker is called and PopWorker fails. @@ -1180,8 +1196,8 @@ TEST_F(ClusterTaskManagerTest, NotOKPopWorkerAfterDrainingTest) { task_allocation); } - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply1; rpc::RequestWorkerLeaseReply reply2; bool callback_called = false; @@ -1190,8 +1206,8 @@ TEST_F(ClusterTaskManagerTest, NotOKPopWorkerAfterDrainingTest) { Status, std::function, std::function) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task1, false, false, &reply1, callback); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply2, callback); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply1, callback); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply2, callback); auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 5); @@ -1201,20 +1217,20 @@ TEST_F(ClusterTaskManagerTest, NotOKPopWorkerAfterDrainingTest) { drain_request.set_deadline_timestamp_ms(std::numeric_limits::max()); scheduler_->GetLocalResourceManager().SetLocalNodeDraining(drain_request); - pool_.callbacks[task1.GetTaskSpecification().GetRuntimeEnvHash()].front()( + pool_.callbacks[lease1.GetLeaseSpecification().GetRuntimeEnvHash()].front()( nullptr, PopWorkerStatus::WorkerPendingRegistration, ""); - pool_.callbacks[task1.GetTaskSpecification().GetRuntimeEnvHash()].back()( + pool_.callbacks[lease1.GetLeaseSpecification().GetRuntimeEnvHash()].back()( nullptr, PopWorkerStatus::RuntimeEnvCreationFailed, "runtime env setup error"); pool_.callbacks.clear(); - task_manager_.ScheduleAndDispatchTasks(); - // task1 is spilled and task2 is cancelled. + lease_manager_.ScheduleAndGrantLeases(); + // lease1 is spilled and lease2 is cancelled. ASSERT_EQ(reply1.retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_TRUE(reply2.canceled()); ASSERT_EQ(reply2.scheduling_failure_message(), "runtime env setup error"); } -TEST_F(ClusterTaskManagerTest, NotOKPopWorkerTest) { - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); +TEST_F(ClusterLeaseManagerTest, NotOKPopWorkerTest) { + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; bool *callback_called_ptr = &callback_called; @@ -1222,61 +1238,61 @@ TEST_F(ClusterTaskManagerTest, NotOKPopWorkerTest) { Status, std::function, std::function) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task1, false, false, &reply, callback); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 0); - ASSERT_EQ(NumRunningTasks(), 1); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply, callback); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 0); + ASSERT_EQ(NumRunningLeases(), 1); pool_.TriggerCallbacksWithNotOKStatus(PopWorkerStatus::WorkerPendingRegistration); ASSERT_FALSE(callback_called); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 1); - ASSERT_EQ(NumRunningTasks(), 0); - ASSERT_TRUE(task_manager_.CancelTask(task1.GetTaskSpecification().TaskId())); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 1); + ASSERT_EQ(NumRunningLeases(), 0); + ASSERT_TRUE(lease_manager_.CancelLease(lease1.GetLeaseSpecification().LeaseId())); callback_called = false; reply.Clear(); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 0); - ASSERT_EQ(NumRunningTasks(), 1); - // The task should be cancelled. + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 0); + ASSERT_EQ(NumRunningLeases(), 1); + // The lease should be cancelled. const auto runtime_env_error_msg = "Runtime env error message"; pool_.TriggerCallbacksWithNotOKStatus(PopWorkerStatus::RuntimeEnvCreationFailed, runtime_env_error_msg); ASSERT_TRUE(callback_called); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 0); - ASSERT_EQ(NumRunningTasks(), 0); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 0); + ASSERT_EQ(NumRunningLeases(), 0); ASSERT_TRUE(reply.canceled()); ASSERT_EQ(reply.scheduling_failure_message(), runtime_env_error_msg); - // Test that local task manager handles PopWorkerStatus::JobFinished correctly. + // Test that local lease manager handles PopWorkerStatus::JobFinished correctly. callback_called = false; reply.Clear(); - RayTask task3 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - task_manager_.QueueAndScheduleTask(task3, false, false, &reply, callback); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 0); - ASSERT_EQ(NumRunningTasks(), 1); + RayLease lease3 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + lease_manager_.QueueAndScheduleLease(lease3, false, false, &reply, callback); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 0); + ASSERT_EQ(NumRunningLeases(), 1); pool_.TriggerCallbacksWithNotOKStatus(PopWorkerStatus::JobFinished); - // The task should be removed from the dispatch queue. + // The lease should be removed from the leases_to_grant queue. ASSERT_FALSE(callback_called); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 0); - ASSERT_EQ(NumRunningTasks(), 0); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 0); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 0); + ASSERT_EQ(NumRunningLeases(), 0); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TaskUnschedulableTest) { - TaskSpecification task_spec = - CreateTask({{ray::kCPU_ResourceLabel, 1}}).GetTaskSpecification(); - task_spec.GetMutableMessage() +TEST_F(ClusterLeaseManagerTest, TaskUnschedulableTest) { + LeaseSpecification lease_spec = + CreateLease({{ray::kCPU_ResourceLabel, 1}}).GetLeaseSpecification(); + lease_spec.GetMutableMessage() .mutable_scheduling_strategy() ->mutable_node_affinity_scheduling_strategy() ->set_node_id(NodeID::FromRandom().Binary()); - task_spec.GetMutableMessage() + lease_spec.GetMutableMessage() .mutable_scheduling_strategy() ->mutable_node_affinity_scheduling_strategy() ->set_soft(false); @@ -1289,7 +1305,8 @@ TEST_F(ClusterTaskManagerTest, TaskUnschedulableTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(RayTask(task_spec), false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease( + RayLease(lease_spec), false, false, &reply, callback); ASSERT_TRUE(callback_called); ASSERT_TRUE(reply.canceled()); ASSERT_EQ(reply.failure_type(), @@ -1298,10 +1315,10 @@ TEST_F(ClusterTaskManagerTest, TaskUnschedulableTest) { AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TaskCancellationTest) { +TEST_F(ClusterLeaseManagerTest, TaskCancellationTest) { std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1311,52 +1328,52 @@ TEST_F(ClusterTaskManagerTest, TaskCancellationTest) { *callback_called_ptr = true; }; - // Task1 not queued so we can't cancel it. - ASSERT_FALSE(task_manager_.CancelTask(task1.GetTaskSpecification().TaskId())); + // Lease1 not queued so we can't cancel it. + ASSERT_FALSE(lease_manager_.CancelLease(lease1.GetLeaseSpecification().LeaseId())); - task_manager_.QueueAndScheduleTask(task1, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply, callback); pool_.TriggerCallbacks(); - // Task1 is now in dispatch queue. + // Lease1 is now in dispatch queue. callback_called = false; reply.Clear(); - ASSERT_TRUE(task_manager_.CancelTask(task1.GetTaskSpecification().TaskId())); + ASSERT_TRUE(lease_manager_.CancelLease(lease1.GetLeaseSpecification().LeaseId())); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - // Task1 will not execute. + // Lease1 will not be granted. ASSERT_TRUE(callback_called); ASSERT_TRUE(reply.canceled()); ASSERT_EQ(leased_workers_.size(), 0); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); pool_.TriggerCallbacks(); - // Task2 is now running so we can't cancel it. + // Lease2 is now granted so we can't cancel it. callback_called = false; reply.Clear(); - ASSERT_FALSE(task_manager_.CancelTask(task2.GetTaskSpecification().TaskId())); + ASSERT_FALSE(lease_manager_.CancelLease(lease2.GetLeaseSpecification().LeaseId())); ASSERT_FALSE(reply.canceled()); ASSERT_FALSE(callback_called); ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(leased_workers_.size(), 1); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task2.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease2.GetLeaseSpecification().LeaseId()); - RayTask task3 = CreateTask({{ray::kCPU_ResourceLabel, 2}}); + RayLease lease3 = CreateLease({{ray::kCPU_ResourceLabel, 2}}); rpc::RequestWorkerLeaseReply reply3; - RayTask task4 = CreateTask({{ray::kCPU_ResourceLabel, 200}}); + RayLease lease4 = CreateLease({{ray::kCPU_ResourceLabel, 200}}); rpc::RequestWorkerLeaseReply reply4; - // Task 3 should be popping worker - task_manager_.QueueAndScheduleTask(task3, false, false, &reply3, callback); - // Task 4 is infeasible - task_manager_.QueueAndScheduleTask(task4, false, false, &reply4, callback); + // Lease 3 should be popping worker + lease_manager_.QueueAndScheduleLease(lease3, false, false, &reply3, callback); + // Lease 4 is infeasible + lease_manager_.QueueAndScheduleLease(lease4, false, false, &reply4, callback); pool_.TriggerCallbacks(); - ASSERT_TRUE(task_manager_.CancelTasks( + ASSERT_TRUE(lease_manager_.CancelLeases( [](const std::shared_ptr &work) { return true; }, rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_INTENDED, "")); @@ -1366,13 +1383,13 @@ TEST_F(ClusterTaskManagerTest, TaskCancellationTest) { AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TaskCancelInfeasibleTask) { - /* Make sure cancelTask works for infeasible tasks */ +TEST_F(ClusterLeaseManagerTest, TaskCancelInfeasibleTask) { + /* Make sure cancelLease works for infeasible leases */ std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 12}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 12}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1382,24 +1399,24 @@ TEST_F(ClusterTaskManagerTest, TaskCancelInfeasibleTask) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - // RayTask is now queued so cancellation works. - ASSERT_TRUE(task_manager_.CancelTask(task.GetTaskSpecification().TaskId())); - task_manager_.ScheduleAndDispatchTasks(); + // RayLease is now queued so cancellation works. + ASSERT_TRUE(lease_manager_.CancelLease(lease.GetLeaseSpecification().LeaseId())); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - // Task will not execute. + // Lease will not be granted. ASSERT_TRUE(callback_called); ASSERT_TRUE(reply.canceled()); ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 1); - // Although the feasible node is added, task shouldn't be executed because it is + // Although the feasible node is added, lease shouldn't be granted because it is // cancelled. auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 12); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_TRUE(callback_called); ASSERT_TRUE(reply.canceled()); @@ -1408,13 +1425,13 @@ TEST_F(ClusterTaskManagerTest, TaskCancelInfeasibleTask) { AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TaskCancelWithResourceShape) { - // task1 doesn't match the resource shape so shouldn't be cancelled - // task2 matches the resource shape and should be cancelled +TEST_F(ClusterLeaseManagerTest, TaskCancelWithResourceShape) { + // lease1 doesn't match the resource shape so shouldn't be cancelled + // lease2 matches the resource shape and should be cancelled std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 10}}); + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 10}}); absl::flat_hash_map resource_shape_1 = { {ray::kCPU_ResourceLabel, 10}}; absl::flat_hash_map resource_shape_2 = { @@ -1437,42 +1454,42 @@ TEST_F(ClusterTaskManagerTest, TaskCancelWithResourceShape) { *callback_called_ptr_2 = true; }; - task_manager_.QueueAndScheduleTask(task1, false, false, &reply1, callback1); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply1, callback1); pool_.TriggerCallbacks(); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply2, callback2); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply2, callback2); pool_.TriggerCallbacks(); callback_called_1 = false; callback_called_2 = false; reply1.Clear(); reply2.Clear(); - ASSERT_TRUE(task_manager_.CancelTasksWithResourceShapes(target_resource_shapes)); + ASSERT_TRUE(lease_manager_.CancelLeasesWithResourceShapes(target_resource_shapes)); ASSERT_FALSE(reply1.canceled()); ASSERT_FALSE(callback_called_1); ASSERT_TRUE(reply2.canceled()); ASSERT_TRUE(callback_called_2); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(leased_workers_.size(), 1); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task1.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease1.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, HeartbeatTest) { +TEST_F(ClusterLeaseManagerTest, HeartbeatTest) { std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1482,14 +1499,14 @@ TEST_F(ClusterTaskManagerTest, HeartbeatTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_TRUE(callback_called); // Now {CPU: 7, GPU: 4, MEM:128} } { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1499,15 +1516,15 @@ TEST_F(ClusterTaskManagerTest, HeartbeatTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_called); // No worker available. - // Now {CPU: 7, GPU: 4, MEM:128} with 1 queued task. + // Now {CPU: 7, GPU: 4, MEM:128} with 1 queued lease. } { - RayTask task = - CreateTask({{ray::kCPU_ResourceLabel, 9}, {ray::kGPU_ResourceLabel, 5}}); + RayLease lease = + CreateLease({{ray::kCPU_ResourceLabel, 9}, {ray::kGPU_ResourceLabel, 5}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1517,15 +1534,15 @@ TEST_F(ClusterTaskManagerTest, HeartbeatTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_called); // Infeasible. - // Now there is also an infeasible task {CPU: 9}. + // Now there is also an infeasible lease {CPU: 9}. } { - RayTask task = - CreateTask({{ray::kCPU_ResourceLabel, 10}, {ray::kGPU_ResourceLabel, 1}}); + RayLease lease = + CreateLease({{ray::kCPU_ResourceLabel, 10}, {ray::kGPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_called = false; @@ -1535,15 +1552,15 @@ TEST_F(ClusterTaskManagerTest, HeartbeatTest) { *callback_called_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_called); // Infeasible. - // Now there is also an infeasible task {CPU: 10}. + // Now there is also an infeasible lease {CPU: 10}. } { rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); auto load_by_shape = data.mutable_resource_load_by_shape()->mutable_resource_demands(); @@ -1585,7 +1602,7 @@ TEST_F(ClusterTaskManagerTest, HeartbeatTest) { } } -TEST_F(ClusterTaskManagerTest, ResourceReportForNodeAffinitySchedulingStrategyTasks) { +TEST_F(ClusterLeaseManagerTest, ResourceReportForNodeAffinitySchedulingStrategyTasks) { rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -1594,39 +1611,39 @@ TEST_F(ClusterTaskManagerTest, ResourceReportForNodeAffinitySchedulingStrategyTa *callback_occurred_ptr = true; }; - // Feasible strict task won't be reported. + // Feasible strict lease won't be reported. rpc::SchedulingStrategy scheduling_strategy; scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id( id_.Binary()); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_soft(false); - RayTask task1 = - CreateTask({{ray::kCPU_ResourceLabel, 1}}, 0, {}, nullptr, scheduling_strategy); - task_manager_.QueueAndScheduleTask(task1, false, false, &reply, callback); + RayLease lease1 = + CreateLease({{ray::kCPU_ResourceLabel, 1}}, 0, {}, nullptr, scheduling_strategy); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply, callback); - // Feasible soft task won't be reported. + // Feasible soft lease won't be reported. scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id( id_.Binary()); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_soft(true); - RayTask task2 = - CreateTask({{ray::kCPU_ResourceLabel, 2}}, 0, {}, nullptr, scheduling_strategy); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); + RayLease task2 = + CreateLease({{ray::kCPU_ResourceLabel, 2}}, 0, {}, nullptr, scheduling_strategy); + lease_manager_.QueueAndScheduleLease(task2, false, false, &reply, callback); - // Infeasible soft task will be reported. + // Infeasible soft lease will be reported. scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id( id_.Binary()); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_soft(true); - RayTask task3 = - CreateTask({{ray::kGPU_ResourceLabel, 1}}, 0, {}, nullptr, scheduling_strategy); - task_manager_.QueueAndScheduleTask(task3, false, false, &reply, callback); + RayLease task3 = + CreateLease({{ray::kGPU_ResourceLabel, 1}}, 0, {}, nullptr, scheduling_strategy); + lease_manager_.QueueAndScheduleLease(task3, false, false, &reply, callback); ASSERT_FALSE(callback_occurred); - // Infeasible strict task won't be reported (will fail immediately). + // Infeasible strict lease won't be reported (will fail immediately). scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_node_id( id_.Binary()); scheduling_strategy.mutable_node_affinity_scheduling_strategy()->set_soft(false); - RayTask task4 = - CreateTask({{ray::kGPU_ResourceLabel, 2}}, 0, {}, nullptr, scheduling_strategy); - task_manager_.QueueAndScheduleTask(task4, false, false, &reply, callback); + RayLease task4 = + CreateLease({{ray::kGPU_ResourceLabel, 2}}, 0, {}, nullptr, scheduling_strategy); + lease_manager_.QueueAndScheduleLease(task4, false, false, &reply, callback); ASSERT_TRUE(callback_occurred); ASSERT_TRUE(reply.canceled()); ASSERT_EQ(reply.failure_type(), @@ -1636,7 +1653,7 @@ TEST_F(ClusterTaskManagerTest, ResourceReportForNodeAffinitySchedulingStrategyTa ASSERT_EQ(pool_.workers.size(), 0); rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); auto resource_load_by_shape = data.resource_load_by_shape(); ASSERT_EQ(resource_load_by_shape.resource_demands().size(), 1); auto demand = resource_load_by_shape.resource_demands()[0]; @@ -1645,7 +1662,7 @@ TEST_F(ClusterTaskManagerTest, ResourceReportForNodeAffinitySchedulingStrategyTa ASSERT_EQ(demand.shape().at("GPU"), 1); } -TEST_F(ClusterTaskManagerTest, BacklogReportTest) { +TEST_F(ClusterLeaseManagerTest, BacklogReportTest) { /* Test basic scheduler functionality: 1. Queue and attempt to schedule/dispatch a test with no workers available @@ -1659,18 +1676,18 @@ TEST_F(ClusterTaskManagerTest, BacklogReportTest) { *callback_occurred_ptr = true; }; - std::vector to_cancel; + std::vector to_cancel; std::vector worker_ids; for (int i = 0; i < 10; i++) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); worker_ids.push_back(WorkerID::FromRandom()); - local_task_manager_->SetWorkerBacklog( - task.GetTaskSpecification().GetSchedulingClass(), worker_ids.back(), 10 - i); + local_lease_manager_->SetWorkerBacklog( + lease.GetLeaseSpecification().GetSchedulingClass(), worker_ids.back(), 10 - i); pool_.TriggerCallbacks(); - // Don't add the fist task to `to_cancel`. + // Don't add the first lease to `to_cancel`. if (i != 0) { - to_cancel.push_back(task.GetTaskSpecification().TaskId()); + to_cancel.push_back(lease.GetLeaseSpecification().LeaseId()); } } @@ -1679,9 +1696,9 @@ TEST_F(ClusterTaskManagerTest, BacklogReportTest) { ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(node_info_calls_, 0); - { // 1 task has resources allocated, while remaining 9 is stuck. + { // 1 lease has resources allocated, while remaining 9 are stuck. rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); auto resource_load_by_shape = data.resource_load_by_shape(); auto shape1 = resource_load_by_shape.resource_demands()[0]; @@ -1690,17 +1707,17 @@ TEST_F(ClusterTaskManagerTest, BacklogReportTest) { ASSERT_EQ(shape1.num_ready_requests_queued(), 9); } - // Push a worker so the first task can run. + // Push a worker so the first lease can be granted. std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(worker); - task_manager_.ScheduleAndDispatchTasks(); - local_task_manager_->ClearWorkerBacklog(worker_ids[0]); + lease_manager_.ScheduleAndGrantLeases(); + local_lease_manager_->ClearWorkerBacklog(worker_ids[0]); pool_.TriggerCallbacks(); { rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); auto resource_load_by_shape = data.resource_load_by_shape(); auto shape1 = resource_load_by_shape.resource_demands()[0]; @@ -1711,32 +1728,33 @@ TEST_F(ClusterTaskManagerTest, BacklogReportTest) { } // Cancel the rest. - for (auto &task_id : to_cancel) { - ASSERT_TRUE(task_manager_.CancelTask(task_id)); + for (auto &lease_id : to_cancel) { + ASSERT_TRUE(lease_manager_.CancelLease(lease_id)); } for (size_t i = 1; i < worker_ids.size(); ++i) { - local_task_manager_->ClearWorkerBacklog(worker_ids[i]); + local_lease_manager_->ClearWorkerBacklog(worker_ids[i]); } { rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); auto resource_load_by_shape = data.resource_load_by_shape(); ASSERT_EQ(resource_load_by_shape.resource_demands().size(), 0); while (!leased_workers_.empty()) { - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, + &finished_lease); leased_workers_.erase(leased_workers_.begin()); } AssertNoLeaks(); } } -TEST_F(ClusterTaskManagerTest, OwnerDeadTest) { - // Test the case when the task owner (worker or node) dies, the task is cancelled. - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 4}}); +TEST_F(ClusterLeaseManagerTest, OwnerDeadTest) { + // Test the case when the lease owner (worker or node) dies, the lease is cancelled. + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -1745,64 +1763,64 @@ TEST_F(ClusterTaskManagerTest, OwnerDeadTest) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); - task_manager_.CancelAllTasksOwnedBy(task.GetTaskSpecification().CallerWorkerId()); + lease_manager_.CancelAllLeasesOwnedBy(lease.GetLeaseSpecification().CallerWorkerId()); AssertNoLeaks(); callback_occurred = false; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_FALSE(callback_occurred); - task_manager_.CancelAllTasksOwnedBy(task.GetTaskSpecification().CallerNodeId()); + lease_manager_.CancelAllLeasesOwnedBy(lease.GetLeaseSpecification().CallerNodeId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestInfeasibleTaskWarning) { +TEST_F(ClusterLeaseManagerTest, TestInfeasibleLeaseWarning) { /* - Test if infeasible tasks warnings are printed. + Test if infeasible leases warnings are printed. */ - // Create an infeasible task. - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 12}}); + // Create an infeasible lease. + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 12}}); rpc::RequestWorkerLeaseReply reply; std::shared_ptr callback_occurred = std::make_shared(false); auto callback = [callback_occurred]( Status, std::function, std::function) { *callback_occurred = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - ASSERT_EQ(announce_infeasible_task_calls_, 1); + ASSERT_EQ(announce_infeasible_lease_calls_, 1); - // Infeasible warning shouldn't be reprinted when the previous task is still infeasible + // Infeasible warning shouldn't be reprinted when the previous lease is still infeasible // after adding a new node. AddNode(NodeID::FromRandom(), 8); std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - // Task shouldn't be scheduled yet. - ASSERT_EQ(announce_infeasible_task_calls_, 1); + // Lease shouldn't be scheduled yet. + ASSERT_EQ(announce_infeasible_lease_calls_, 1); ASSERT_FALSE(*callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 1); - // Now we have a node that is feasible to schedule the task. Make sure the infeasible - // task is spillbacked properly. + // Now we have a node that is feasible to schedule the lease. Make sure the infeasible + // lease is spillbacked properly. auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 12); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); // Make sure nothing happens locally. - ASSERT_EQ(announce_infeasible_task_calls_, 1); + ASSERT_EQ(announce_infeasible_lease_calls_, 1); ASSERT_TRUE(*callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 1); @@ -1811,90 +1829,90 @@ TEST_F(ClusterTaskManagerTest, TestInfeasibleTaskWarning) { AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, TestMultipleInfeasibleTasksWarnOnce) { +TEST_F(ClusterLeaseManagerTest, TestMultipleInfeasibleLeasesWarnOnce) { /* Test infeasible warning is printed only once when the same shape is queued again. */ - // Make sure the first infeasible task announces warning. - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 12}}); + // Make sure the first infeasible lease announces warning. + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 12}}); rpc::RequestWorkerLeaseReply reply; std::shared_ptr callback_occurred = std::make_shared(false); auto callback = [callback_occurred]( Status, std::function, std::function) { *callback_occurred = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - ASSERT_EQ(announce_infeasible_task_calls_, 1); + ASSERT_EQ(announce_infeasible_lease_calls_, 1); - // Make sure the same shape infeasible task won't be announced. - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 12}}); + // Make sure the same shape infeasible lease won't be announced. + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 12}}); rpc::RequestWorkerLeaseReply reply2; std::shared_ptr callback_occurred2 = std::make_shared(false); auto callback2 = [callback_occurred2]( Status, std::function, std::function) { *callback_occurred2 = true; }; - task_manager_.QueueAndScheduleTask(task2, false, false, &reply2, callback2); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply2, callback2); pool_.TriggerCallbacks(); - ASSERT_EQ(announce_infeasible_task_calls_, 1); + ASSERT_EQ(announce_infeasible_lease_calls_, 1); } -TEST_F(ClusterTaskManagerTest, TestAnyPendingTasksForResourceAcquisition) { +TEST_F(ClusterLeaseManagerTest, TestAnyPendingLeasesForResourceAcquisition) { /* - Check if the manager can correctly identify pending tasks. + Check if the manager can correctly identify pending leases. */ std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); - // task1: running - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 6}}); + // lease1: running. + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 6}}); rpc::RequestWorkerLeaseReply reply; std::shared_ptr callback_occurred = std::make_shared(false); auto callback = [callback_occurred]( Status, std::function, std::function) { *callback_occurred = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_TRUE(*callback_occurred); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 0); - // task1: running. Progress is made, and there's no deadlock. - int pending_actor_creations = 0; - int pending_tasks = 0; - ASSERT_EQ(task_manager_.AnyPendingTasksForResourceAcquisition(&pending_actor_creations, - &pending_tasks), + // lease1: running. Progress is made, and there's no deadlock. + int pending_lease_creations = 0; + int pending_leases = 0; + ASSERT_EQ(lease_manager_.AnyPendingLeasesForResourceAcquisition( + &pending_lease_creations, &pending_leases), nullptr); - ASSERT_EQ(pending_actor_creations, 0); - ASSERT_EQ(pending_tasks, 0); + ASSERT_EQ(pending_lease_creations, 0); + ASSERT_EQ(pending_leases, 0); - // task1: running, task2: queued. - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 6}}); + // lease1: running, lease2: queued. + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 6}}); rpc::RequestWorkerLeaseReply reply2; std::shared_ptr callback_occurred2 = std::make_shared(false); auto callback2 = [callback_occurred2]( Status, std::function, std::function) { *callback_occurred2 = true; }; - task_manager_.QueueAndScheduleTask(task2, false, false, &reply2, callback2); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply2, callback2); pool_.TriggerCallbacks(); ASSERT_FALSE(*callback_occurred2); - auto pending_task = task_manager_.AnyPendingTasksForResourceAcquisition( - &pending_actor_creations, &pending_tasks); - ASSERT_EQ(pending_task->GetTaskSpecification().TaskId(), - task2.GetTaskSpecification().TaskId()); - ASSERT_EQ(pending_actor_creations, 0); - ASSERT_EQ(pending_tasks, 1); + auto pending_lease = lease_manager_.AnyPendingLeasesForResourceAcquisition( + &pending_lease_creations, &pending_leases); + ASSERT_EQ(pending_lease->GetLeaseSpecification().LeaseId(), + lease2.GetLeaseSpecification().LeaseId()); + ASSERT_EQ(pending_lease_creations, 0); + ASSERT_EQ(pending_leases, 1); } -TEST_F(ClusterTaskManagerTest, ArgumentEvicted) { +TEST_F(ClusterLeaseManagerTest, ArgumentEvicted) { /* - Test the task's dependencies becoming local, then one of the arguments is - evicted. The task should go from waiting -> dispatch -> waiting. + Test the lease's dependencies becoming local, then one of the arguments is + evicted. The lease should go from waiting -> dispatch -> waiting. */ std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); @@ -1909,52 +1927,52 @@ TEST_F(ClusterTaskManagerTest, ArgumentEvicted) { }; /* Blocked on dependencies */ - auto task = CreateTask({{ray::kCPU_ResourceLabel, 5}}, 2); - auto missing_arg = task.GetTaskSpecification().GetDependencyIds()[0]; + auto lease = CreateLease({{ray::kCPU_ResourceLabel, 5}}, 2); + auto missing_arg = lease.GetLeaseSpecification().GetDependencyIds()[0]; missing_objects_.insert(missing_arg); - std::unordered_set expected_subscribed_tasks = { - task.GetTaskSpecification().TaskId()}; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + std::unordered_set expected_subscribed_leases = { + lease.GetLeaseSpecification().LeaseId()}; + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - ASSERT_EQ(dependency_manager_.subscribed_tasks, expected_subscribed_tasks); + ASSERT_EQ(lease_dependency_manager_.subscribed_leases, expected_subscribed_leases); ASSERT_EQ(num_callbacks, 0); ASSERT_EQ(leased_workers_.size(), 0); - /* RayTask is unblocked now */ + /* RayLease is unblocked now */ missing_objects_.erase(missing_arg); pool_.workers.clear(); - auto id = task.GetTaskSpecification().TaskId(); - local_task_manager_->TasksUnblocked({id}); - ASSERT_EQ(dependency_manager_.subscribed_tasks, expected_subscribed_tasks); + auto id = lease.GetLeaseSpecification().LeaseId(); + local_lease_manager_->LeasesUnblocked({id}); + ASSERT_EQ(lease_dependency_manager_.subscribed_leases, expected_subscribed_leases); ASSERT_EQ(num_callbacks, 0); ASSERT_EQ(leased_workers_.size(), 0); /* Worker available and arguments available */ pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, FeasibleToNonFeasible) { - // Test the case, when resources changes in local node, the feasible task should - // able to transfer to infeasible task +TEST_F(ClusterLeaseManagerTest, FeasibleToNonFeasible) { + // Test the case, when resources changes in local node, the feasible lease should + // able to transfer to infeasible lease std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); - RayTask task1 = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + RayLease lease1 = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply1; bool callback_occurred1 = false; - task_manager_.QueueAndScheduleTask( - task1, + lease_manager_.QueueAndScheduleLease( + lease1, false, false, &reply1, @@ -1965,20 +1983,20 @@ TEST_F(ClusterTaskManagerTest, FeasibleToNonFeasible) { ASSERT_EQ(leased_workers_.size(), 1); ASSERT_TRUE(callback_occurred1); ASSERT_EQ(pool_.workers.size(), 0); - ASSERT_EQ(task_manager_.tasks_to_schedule_.size(), 0); - ASSERT_EQ(local_task_manager_->tasks_to_dispatch_.size(), 0); - ASSERT_EQ(task_manager_.infeasible_tasks_.size(), 0); + ASSERT_EQ(lease_manager_.leases_to_schedule_.size(), 0); + ASSERT_EQ(local_lease_manager_->leases_to_grant_.size(), 0); + ASSERT_EQ(lease_manager_.infeasible_leases_.size(), 0); - // Delete cpu resource of local node, then task 2 should be turned into + // Delete cpu resource of local node, then lease 2 should be turned into // infeasible. scheduler_->GetLocalResourceManager().DeleteLocalResource( scheduling::ResourceID(ray::kCPU_ResourceLabel)); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 4}}); + RayLease lease2 = CreateLease({{ray::kCPU_ResourceLabel, 4}}); rpc::RequestWorkerLeaseReply reply2; bool callback_occurred2 = false; - task_manager_.QueueAndScheduleTask( - task2, + lease_manager_.QueueAndScheduleLease( + lease2, false, false, &reply2, @@ -1989,17 +2007,18 @@ TEST_F(ClusterTaskManagerTest, FeasibleToNonFeasible) { ASSERT_EQ(leased_workers_.size(), 1); ASSERT_FALSE(callback_occurred2); ASSERT_EQ(pool_.workers.size(), 0); - ASSERT_EQ(task_manager_.tasks_to_schedule_.size(), 0); - ASSERT_EQ(local_task_manager_->tasks_to_dispatch_.size(), 0); - ASSERT_EQ(task_manager_.infeasible_tasks_.size(), 1); - - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task1.GetTaskSpecification().TaskId()); + ASSERT_EQ(lease_manager_.leases_to_schedule_.size(), 0); + ASSERT_EQ(local_lease_manager_->leases_to_grant_.size(), 0); + ASSERT_EQ(local_lease_manager_->waiting_lease_queue_.size(), 0); + ASSERT_EQ(lease_manager_.infeasible_leases_.size(), 1); + + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease1.GetLeaseSpecification().LeaseId()); } -TEST_F(ClusterTaskManagerTest, NegativePlacementGroupCpuResources) { +TEST_F(ClusterLeaseManagerTest, NegativePlacementGroupCpuResources) { // Add PG CPU resources. scheduler_->GetLocalResourceManager().AddLocalResourceInstances( scheduling::ResourceID("CPU_group_aaa"), std::vector{FixedPoint(2)}); @@ -2018,7 +2037,7 @@ TEST_F(ClusterTaskManagerTest, NegativePlacementGroupCpuResources) { {{"CPU_group_aaa", 1.}, {"CPU_group_0_aaa", 1.}}, allocated_instances)); worker1->SetAllocatedInstances(allocated_instances); // worker1 calls ray.get() and release the CPU resource - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); // the released CPU resource is acquired by worker2 auto worker2 = std::make_shared(WorkerID::FromRandom(), 5678); @@ -2028,7 +2047,7 @@ TEST_F(ClusterTaskManagerTest, NegativePlacementGroupCpuResources) { worker2->SetAllocatedInstances(allocated_instances); // ray.get() returns and worker1 acquires the CPU resource again - ASSERT_TRUE(local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); + ASSERT_TRUE(local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU_group_aaa")), 0); ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU_group_0_aaa")), -1); ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU_group_1_aaa")), 1); @@ -2043,7 +2062,7 @@ TEST_F(ClusterTaskManagerTest, NegativePlacementGroupCpuResources) { ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("CPU_group_1_aaa")), 0); } -TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) { +TEST_F(ClusterLeaseManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) { // Add PG CPU and GPU resources. scheduler_->GetLocalResourceManager().AddLocalResourceInstances( scheduling::ResourceID("CPU_group_aaa"), std::vector{FixedPoint(1)}); @@ -2064,8 +2083,8 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) auto worker2 = std::make_shared(WorkerID::FromRandom(), 5678); // Check failed as the worker has no allocated resource instances. - ASSERT_FALSE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); - ASSERT_FALSE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); + ASSERT_FALSE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); + ASSERT_FALSE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); auto node_resource_instances = scheduler_->GetLocalResourceManager().GetLocalResources(); @@ -2073,18 +2092,18 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) node_resource_instances.GetAvailableResourceInstances(); auto allocated_instances = std::make_shared(); - absl::flat_hash_map task_spec = {{"CPU", 1.}, {"GPU", 1.}}; + absl::flat_hash_map lease_spec = {{"CPU", 1.}, {"GPU", 1.}}; ASSERT_TRUE(scheduler_->GetLocalResourceManager().AllocateLocalTaskResources( - task_spec, allocated_instances)); + lease_spec, allocated_instances)); worker1->SetAllocatedInstances(allocated_instances); allocated_instances = std::make_shared(); - task_spec = {{"CPU_group_aaa", 1.}, - {"CPU_group_0_aaa", 1.}, - {"GPU_group_aaa", 1.}, - {"GPU_group_0_aaa", 1.}}; + lease_spec = {{"CPU_group_aaa", 1.}, + {"CPU_group_0_aaa", 1.}, + {"GPU_group_aaa", 1.}, + {"GPU_group_0_aaa", 1.}}; ASSERT_TRUE(scheduler_->GetLocalResourceManager().AllocateLocalTaskResources( - task_spec, allocated_instances)); + lease_spec, allocated_instances)); worker2->SetAllocatedInstances(allocated_instances); // Check that the resources are allocated successfully. @@ -2096,8 +2115,8 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("GPU_group_0_aaa")), 0); // Check that the cpu resources are released successfully. - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); // Check that only cpu resources are released. ASSERT_EQ(node_resources.available.Get(ResourceID::CPU()), 8); @@ -2111,8 +2130,8 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) worker1->MarkBlocked(); worker2->MarkBlocked(); // Check failed as the worker is blocked. - ASSERT_FALSE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); - ASSERT_FALSE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); + ASSERT_FALSE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); + ASSERT_FALSE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker2)); // Check nothing will be changed. ASSERT_EQ(node_resources.available.Get(ResourceID::CPU()), 8); ASSERT_EQ(node_resources.available.Get(ResourceID::GPU()), 3); @@ -2122,8 +2141,8 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("GPU_group_0_aaa")), 0); // Check that the cpu resources are returned back to worker successfully. - ASSERT_TRUE(local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); - ASSERT_TRUE(local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker2)); + ASSERT_TRUE(local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); + ASSERT_TRUE(local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker2)); // Check that only cpu resources are returned back to the worker. ASSERT_EQ(node_resources.available.Get(ResourceID::CPU()), 7); @@ -2136,8 +2155,8 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) // Mark worker as unblocked. worker1->MarkUnblocked(); worker2->MarkUnblocked(); - ASSERT_FALSE(local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); - ASSERT_FALSE(local_task_manager_->ReturnCpuResourcesToUnblockedWorker(worker2)); + ASSERT_FALSE(local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker1)); + ASSERT_FALSE(local_lease_manager_->ReturnCpuResourcesToUnblockedWorker(worker2)); // Check nothing will be changed. ASSERT_EQ(node_resources.available.Get(ResourceID::CPU()), 7); ASSERT_EQ(node_resources.available.Get(ResourceID::GPU()), 3); @@ -2147,104 +2166,104 @@ TEST_F(ClusterTaskManagerTestWithGPUsAtHead, ReleaseAndReturnWorkerCpuResources) ASSERT_EQ(node_resources.available.Get(scheduling::ResourceID("GPU_group_0_aaa")), 0); } -TEST_F(ClusterTaskManagerTest, TestSpillWaitingTasks) { +TEST_F(ClusterLeaseManagerTest, TestSpillWaitingLeases) { // Cases to check: - // - resources available locally, task dependencies being fetched -> do not spill. - // - resources available locally, task dependencies blocked -> spill. + // - resources available locally, lease dependencies being fetched -> do not spill. + // - resources available locally, lease dependencies blocked -> spill. // - resources not available locally -> spill. - std::vector tasks; + std::vector leases; std::vector> replies; int num_callbacks = 0; auto callback = [&](Status, std::function, std::function) { num_callbacks++; }; for (int i = 0; i < 5; i++) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, /*num_args=*/1); - tasks.push_back(task); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, /*num_args=*/1); + leases.push_back(lease); replies.push_back(std::make_unique()); - // All tasks except the last one added are waiting for dependencies. + // All leases except the last one added are waiting for dependencies. if (i < 4) { - auto missing_arg = task.GetTaskSpecification().GetDependencyIds()[0]; + auto missing_arg = lease.GetLeaseSpecification().GetDependencyIds()[0]; missing_objects_.insert(missing_arg); } if (i == 0) { - const_cast(task.GetTaskSpecification()) + const_cast(lease.GetLeaseSpecification()) .GetMutableMessage() .mutable_scheduling_strategy() ->mutable_spread_scheduling_strategy(); } - task_manager_.QueueAndScheduleTask(task, false, false, replies[i].get(), callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, replies[i].get(), callback); pool_.TriggerCallbacks(); } ASSERT_EQ(num_callbacks, 0); - // Local resources could only dispatch one task. - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); + // Local resources could only dispatch one lease. + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING_FOR_WORKER), 1); auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 16); - // We are fetching dependencies for all waiting tasks but we have no enough - // resources available locally to schedule tasks except the first. + // We are fetching dependencies for all waiting leases but we have no enough + // resources available locally to schedule leases except the first. // We should only spill up to the remote node's resource availability. - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 2); // Spill from the back of the waiting queue. ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), ""); ASSERT_EQ(replies[2]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); ASSERT_EQ(replies[3]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); - ASSERT_FALSE(task_manager_.CancelTask(tasks[2].GetTaskSpecification().TaskId())); - ASSERT_FALSE(task_manager_.CancelTask(tasks[3].GetTaskSpecification().TaskId())); - // Do not spill back tasks ready to dispatch. + ASSERT_FALSE(lease_manager_.CancelLease(leases[2].GetLeaseSpecification().LeaseId())); + ASSERT_FALSE(lease_manager_.CancelLease(leases[3].GetLeaseSpecification().LeaseId())); + // Do not spill back leases ready to dispatch. ASSERT_EQ(replies[4]->retry_at_raylet_address().node_id(), ""); AddNode(remote_node_id, 8); - // Dispatch the ready task. + // Dispatch the ready lease. std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::dynamic_pointer_cast(worker)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); - // One waiting task spilled. + // One waiting lease spilled. ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); - ASSERT_FALSE(task_manager_.CancelTask(tasks[1].GetTaskSpecification().TaskId())); - // One task dispatched. + ASSERT_FALSE(lease_manager_.CancelLease(leases[1].GetLeaseSpecification().LeaseId())); + // One lease dispatched. ASSERT_EQ(replies[4]->worker_address().port(), 1234); // Spillback is idempotent. - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); - // One waiting task spilled. + // One waiting lease spilled. ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); - ASSERT_FALSE(task_manager_.CancelTask(tasks[1].GetTaskSpecification().TaskId())); - // One task dispatched. + ASSERT_FALSE(lease_manager_.CancelLease(leases[1].GetLeaseSpecification().LeaseId())); + // One lease dispatched. ASSERT_EQ(replies[4]->worker_address().port(), 1234); - // Spread task won't be spilled due to waiting for dependencies. + // Spread lease won't be spilled due to waiting for dependencies. AddNode(remote_node_id, 8); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 4); ASSERT_EQ(replies[0]->retry_at_raylet_address().node_id(), ""); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.clear(); - ASSERT_TRUE(task_manager_.CancelTask(tasks[0].GetTaskSpecification().TaskId())); + ASSERT_TRUE(lease_manager_.CancelLease(leases[0].GetLeaseSpecification().LeaseId())); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, PinnedArgsMemoryTest) { +TEST_F(ClusterLeaseManagerTest, PinnedArgsMemoryTest) { /* - Total memory required by executing tasks' args stays under the specified + Total memory required by granted lease args stays under the specified threshold. */ - std::shared_ptr worker = - std::make_shared(WorkerID::FromRandom(), 1234); - std::shared_ptr worker2 = - std::make_shared(WorkerID::FromRandom(), 12345); + auto worker_id1 = WorkerID::FromRandom(); + auto worker_id2 = WorkerID::FromRandom(); + std::shared_ptr worker = std::make_shared(worker_id1, 1234); + std::shared_ptr worker2 = std::make_shared(worker_id2, 12345); pool_.PushWorker(std::static_pointer_cast(worker2)); pool_.PushWorker(std::static_pointer_cast(worker)); @@ -2256,44 +2275,56 @@ TEST_F(ClusterTaskManagerTest, PinnedArgsMemoryTest) { (*num_callbacks_ptr) = *num_callbacks_ptr + 1; }; - // This task can run. + // This lease can run. + auto lease_id1 = LeaseID::FromWorker(worker_id1, 1); default_arg_size_ = 600; - auto task = CreateTask({{ray::kCPU_ResourceLabel, 1}}, 1); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + auto lease1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, + 1, + {}, + nullptr, + rpc::SchedulingStrategy(), + lease_id1); + lease_manager_.QueueAndScheduleLease(lease1, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - AssertPinnedTaskArgumentsPresent(task); - - // This task cannot run because it would put us over the memory threshold. - auto task2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, 1); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); + AssertPinnedLeaseArgumentsPresent(lease1); + + // This lease cannot run because it would put us over the memory threshold. + auto lease_id2 = LeaseID::FromWorker(worker_id2, 1); + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, + 1, + {}, + nullptr, + rpc::SchedulingStrategy(), + lease_id2); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - /* First task finishes, freeing memory for the second task */ - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + /* First lease finishes, freeing memory for the second lease */ + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.clear(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - AssertPinnedTaskArgumentsPresent(task2); + AssertPinnedLeaseArgumentsPresent(lease2); ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 0); - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); leased_workers_.clear(); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, PinnedArgsSameMemoryTest) { +TEST_F(ClusterLeaseManagerTest, PinnedArgsSameMemoryTest) { /* - * Two tasks that depend on the same object can run concurrently. + * Two leases that depend on the same object can run concurrently. */ std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); @@ -2310,33 +2341,34 @@ TEST_F(ClusterTaskManagerTest, PinnedArgsSameMemoryTest) { (*num_callbacks_ptr) = *num_callbacks_ptr + 1; }; - // This task can run. + // This lease can run. default_arg_size_ = 600; - auto task = CreateTask({{ray::kCPU_ResourceLabel, 1}}, 1); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + auto lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}, 1); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); - AssertPinnedTaskArgumentsPresent(task); + AssertPinnedLeaseArgumentsPresent(lease); - // This task can run because it depends on the same object as the first task. - auto task2 = CreateTask( - {{ray::kCPU_ResourceLabel, 1}}, 1, task.GetTaskSpecification().GetDependencyIds()); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); + // This lease can run because it depends on the same object as the first lease. + auto lease2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, + 1, + lease.GetLeaseSpecification().GetDependencyIds()); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(leased_workers_.size(), 2); ASSERT_EQ(pool_.workers.size(), 0); - RayTask finished_task; + RayLease finished_lease; for (auto &cur_worker : leased_workers_) { - local_task_manager_->TaskFinished(cur_worker.second, &finished_task); + local_lease_manager_->CleanupLease(cur_worker.second, &finished_lease); } AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, LargeArgsNoStarvationTest) { +TEST_F(ClusterLeaseManagerTest, LargeArgsNoStarvationTest) { std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::static_pointer_cast(worker)); @@ -2350,29 +2382,29 @@ TEST_F(ClusterTaskManagerTest, LargeArgsNoStarvationTest) { }; default_arg_size_ = 2000; - auto task = CreateTask({{ray::kCPU_ResourceLabel, 1}}, 1); + auto lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}, 1); pool_.PushWorker(std::static_pointer_cast(worker)); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 1); ASSERT_EQ(leased_workers_.size(), 1); - AssertPinnedTaskArgumentsPresent(task); + AssertPinnedLeaseArgumentsPresent(lease); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, PopWorkerExactlyOnce) { - // Create and queue one task. +TEST_F(ClusterLeaseManagerTest, PopWorkerExactlyOnce) { + // Create and queue one lease. std::string serialized_runtime_env = "mock_env"; std::shared_ptr runtime_env_info = nullptr; runtime_env_info.reset(new rpc::RuntimeEnvInfo()); runtime_env_info->set_serialized_runtime_env(serialized_runtime_env); - RayTask task = CreateTask( + RayLease lease = CreateLease( {{ray::kCPU_ResourceLabel, 4}}, /*num_args=*/0, /*args=*/{}, runtime_env_info); - auto runtime_env_hash = task.GetTaskSpecification().GetRuntimeEnvHash(); + auto runtime_env_hash = lease.GetLeaseSpecification().GetRuntimeEnvHash(); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -2381,7 +2413,7 @@ TEST_F(ClusterTaskManagerTest, PopWorkerExactlyOnce) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); // Make sure callback doesn't occurred. ASSERT_FALSE(callback_occurred); @@ -2389,8 +2421,8 @@ TEST_F(ClusterTaskManagerTest, PopWorkerExactlyOnce) { ASSERT_EQ(pool_.workers.size(), 0); // Popworker was called once. ASSERT_EQ(pool_.CallbackSize(runtime_env_hash), 1); - // Try to schedule and dispatch tasks. - task_manager_.ScheduleAndDispatchTasks(); + // Try to schedule and dispatch leases. + lease_manager_.ScheduleAndGrantLeases(); // Popworker has been called once, don't call it repeatedly. ASSERT_EQ(pool_.CallbackSize(runtime_env_hash), 1); // Push a worker and try to call back. @@ -2402,31 +2434,34 @@ TEST_F(ClusterTaskManagerTest, PopWorkerExactlyOnce) { ASSERT_TRUE(callback_occurred); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 0); - // Try to schedule and dispatch tasks. - task_manager_.ScheduleAndDispatchTasks(); + // Try to schedule and dispatch leases. + lease_manager_.ScheduleAndGrantLeases(); // Worker has been popped. Don't call `PopWorker` repeatedly. ASSERT_EQ(pool_.CallbackSize(runtime_env_hash), 0); - RayTask finished_task; - local_task_manager_->TaskFinished(leased_workers_.begin()->second, &finished_task); - ASSERT_EQ(finished_task.GetTaskSpecification().TaskId(), - task.GetTaskSpecification().TaskId()); + RayLease finished_lease; + local_lease_manager_->CleanupLease(leased_workers_.begin()->second, &finished_lease); + ASSERT_EQ(finished_lease.GetLeaseSpecification().LeaseId(), + lease.GetLeaseSpecification().LeaseId()); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, CapRunningOnDispatchQueue) { +TEST_F(ClusterLeaseManagerTest, CapRunningOnDispatchQueue) { scheduler_->GetLocalResourceManager().AddLocalResourceInstances( scheduling::ResourceID(ray::kGPU_ResourceLabel), {1, 1, 1}); - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, - /*num_args=*/0, - /*args=*/{}); - RayTask task2 = CreateTask({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, - /*num_args=*/0, - /*args=*/{}); - RayTask task3 = CreateTask({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, - /*num_args=*/0, - /*args=*/{}); - auto runtime_env_hash = task.GetTaskSpecification().GetRuntimeEnvHash(); + RayLease lease = + CreateLease({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, + /*num_args=*/0, + /*args=*/{}); + RayLease lease2 = + CreateLease({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, + /*num_args=*/0, + /*args=*/{}); + RayLease lease3 = + CreateLease({{ray::kCPU_ResourceLabel, 4}, {ray::kGPU_ResourceLabel, 1}}, + /*num_args=*/0, + /*args=*/{}); + auto runtime_env_hash = lease.GetLeaseSpecification().GetRuntimeEnvHash(); std::vector> workers; for (int i = 0; i < 3; i++) { std::shared_ptr worker = @@ -2440,42 +2475,42 @@ TEST_F(ClusterTaskManagerTest, CapRunningOnDispatchQueue) { auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task3, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease3, false, false, &reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 2); - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(workers[0]); - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(workers[1]); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(workers[0]); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(workers[1]); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); // Even though there are free resources, we've hit our cap of (8/4=)2 workers - // of the given scheduling class so we shouldn't dispatch the remaining task. + // of the given scheduling class so we shouldn't dispatch the remaining lease. ASSERT_EQ(num_callbacks, 2); - RayTask buf; - local_task_manager_->TaskFinished(workers[1], &buf); + RayLease buf; + local_lease_manager_->CleanupLease(workers[1], &buf); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 3); - local_task_manager_->TaskFinished(workers[0], &buf); - local_task_manager_->TaskFinished(workers[2], &buf); + local_lease_manager_->CleanupLease(workers[0], &buf); + local_lease_manager_->CleanupLease(workers[2], &buf); AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, ZeroCPUTasks) { +TEST_F(ClusterLeaseManagerTest, ZeroCPULeases) { scheduler_->GetLocalResourceManager().AddLocalResourceInstances( scheduling::ResourceID(ray::kGPU_ResourceLabel), {1, 1, 1}); - RayTask task = CreateTask({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); - RayTask task2 = CreateTask({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); - RayTask task3 = CreateTask({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); - auto runtime_env_hash = task.GetTaskSpecification().GetRuntimeEnvHash(); + RayLease lease = CreateLease({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); + RayLease lease2 = CreateLease({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); + RayLease lease3 = CreateLease({{"GPU", 1}}, /*num_args=*/0, /*args=*/{}); + auto runtime_env_hash = lease.GetLeaseSpecification().GetRuntimeEnvHash(); std::vector> workers; for (int i = 0; i < 3; i++) { std::shared_ptr worker = @@ -2489,28 +2524,28 @@ TEST_F(ClusterTaskManagerTest, ZeroCPUTasks) { auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task3, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease3, false, false, &reply, callback); pool_.TriggerCallbacks(); - // We shouldn't cap anything for zero cpu tasks (and shouldn't crash before + // We shouldn't cap anything for zero cpu leases (and shouldn't crash before // this point). ASSERT_EQ(num_callbacks, 3); for (auto &worker : workers) { - RayTask buf; - local_task_manager_->TaskFinished(worker, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(worker, &buf); } AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTestWithoutCPUsAtHead, ZeroCPUNode) { - RayTask task = CreateTask({}, /*num_args=*/0, /*args=*/{}); - RayTask task2 = CreateTask({}, /*num_args=*/0, /*args=*/{}); - RayTask task3 = CreateTask({}, /*num_args=*/0, /*args=*/{}); - auto runtime_env_hash = task.GetTaskSpecification().GetRuntimeEnvHash(); +TEST_F(ClusterLeaseManagerTestWithoutCPUsAtHead, ZeroCPUNode) { + RayLease lease = CreateLease({}, /*num_args=*/0, /*args=*/{}); + RayLease lease2 = CreateLease({}, /*num_args=*/0, /*args=*/{}); + RayLease lease3 = CreateLease({}, /*num_args=*/0, /*args=*/{}); + auto runtime_env_hash = lease.GetLeaseSpecification().GetRuntimeEnvHash(); std::vector> workers; for (int i = 0; i < 3; i++) { std::shared_ptr worker = @@ -2524,60 +2559,60 @@ TEST_F(ClusterTaskManagerTestWithoutCPUsAtHead, ZeroCPUNode) { auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task2, false, false, &reply, callback); - task_manager_.QueueAndScheduleTask(task3, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease2, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease3, false, false, &reply, callback); pool_.TriggerCallbacks(); - // We shouldn't cap anything for zero cpu tasks (and shouldn't crash before + // We shouldn't cap anything for zero cpu leases (and shouldn't crash before // this point). ASSERT_EQ(num_callbacks, 3); for (auto &worker : workers) { - RayTask buf; - local_task_manager_->TaskFinished(worker, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(worker, &buf); } AssertNoLeaks(); } -/// Test that we are able to spillback tasks +/// Test that we are able to spillback leases /// while hitting the scheduling class cap. -TEST_F(ClusterTaskManagerTest, SchedulingClassCapSpillback) { +TEST_F(ClusterLeaseManagerTest, SchedulingClassCapSpillback) { std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); pool_.PushWorker(std::dynamic_pointer_cast(worker)); - std::vector tasks; + std::vector leases; std::vector> replies; int num_callbacks = 0; auto callback = [&](Status, std::function, std::function) { num_callbacks++; }; - // The first task will be dispatched right away, - // and the second task will hit the scheduling class cap. + // The first lease will be dispatched right away, + // and the second lease will hit the scheduling class cap. for (int i = 0; i < 2; ++i) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}); - tasks.push_back(task); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}); + leases.push_back(lease); replies.push_back(std::make_unique()); - task_manager_.QueueAndScheduleTask(task, false, false, replies[i].get(), callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, replies[i].get(), callback); pool_.TriggerCallbacks(); } ASSERT_EQ(replies[0]->worker_address().port(), 1234); ASSERT_EQ(num_callbacks, 1); - ASSERT_EQ(NumTasksToDispatchWithStatus(internal::WorkStatus::WAITING), 1); + ASSERT_EQ(NumLeasesToDispatchWithStatus(internal::WorkStatus::WAITING), 1); // A new node is added so we should be able to spillback to it. auto remote_node_id = NodeID::FromRandom(); AddNode(remote_node_id, 8); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 2); ASSERT_EQ(replies[1]->retry_at_raylet_address().node_id(), remote_node_id.Binary()); } /// Test that we exponentially increase the amount of time it takes to increase /// the dispatch cap for a scheduling class. -TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { +TEST_F(ClusterLeaseManagerTest, SchedulingClassCapIncrease) { auto get_unblocked_worker = [](std::vector> &workers) -> std::shared_ptr { for (auto &worker : workers) { @@ -2589,12 +2624,12 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { }; int64_t UNIT = RayConfig::instance().worker_cap_initial_backoff_delay_ms(); - std::vector tasks; + std::vector leases; for (int i = 0; i < 3; i++) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - tasks.emplace_back(task); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + leases.emplace_back(lease); } rpc::RequestWorkerLeaseReply reply; @@ -2602,11 +2637,11 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - for (const auto &task : tasks) { - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + for (const auto &lease : leases) { + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); } - auto runtime_env_hash = tasks[0].GetTaskSpecification().GetRuntimeEnvHash(); + auto runtime_env_hash = leases[0].GetLeaseSpecification().GetRuntimeEnvHash(); std::vector> workers; for (int i = 0; i < 3; i++) { std::shared_ptr worker = @@ -2615,40 +2650,40 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { pool_.TriggerCallbacks(); workers.push_back(worker); } - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 1); current_time_ms_ += UNIT; ASSERT_FALSE(workers.back()->IsBlocked()); - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker( + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker( get_unblocked_worker(workers))); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 2); // Since we're increasing exponentially, increasing by a unit show no longer be enough. current_time_ms_ += UNIT; - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker( + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker( get_unblocked_worker(workers))); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 2); // Now it should run current_time_ms_ += UNIT; - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 3); - // Let just one task finish. + // Let just one lease finish. for (auto it = workers.begin(); it != workers.end(); it++) { if (!(*it)->IsBlocked()) { - RayTask buf; - local_task_manager_->TaskFinished(*it, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(*it, &buf); workers.erase(it); break; } @@ -2656,11 +2691,11 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { current_time_ms_ += UNIT; - // Now schedule another task of the same scheduling class. - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + // Now schedule another lease of the same scheduling class. + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); std::shared_ptr new_worker = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); @@ -2669,31 +2704,31 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapIncrease) { workers.push_back(new_worker); // It can't run for another 2 units (doesn't increase to 4, because one of - // the tasks finished). + // the leases finished). ASSERT_EQ(num_callbacks, 3); current_time_ms_ += 2 * UNIT; - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); for (auto &worker : workers) { - RayTask buf; - local_task_manager_->TaskFinished(worker, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(worker, &buf); } AssertNoLeaks(); } -/// Ensure we reset the cap after we've finished executing through the queue. -TEST_F(ClusterTaskManagerTest, SchedulingClassCapResetTest) { +/// Ensure we reset the cap after we've granted all leases in the queue. +TEST_F(ClusterLeaseManagerTest, SchedulingClassCapResetTest) { int64_t UNIT = RayConfig::instance().worker_cap_initial_backoff_delay_ms(); - std::vector tasks; + std::vector leases; for (int i = 0; i < 2; i++) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - tasks.emplace_back(task); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + leases.emplace_back(lease); } rpc::RequestWorkerLeaseReply reply; @@ -2701,97 +2736,97 @@ TEST_F(ClusterTaskManagerTest, SchedulingClassCapResetTest) { auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - for (const auto &task : tasks) { - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + for (const auto &lease : leases) { + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); } - auto runtime_env_hash = tasks[0].GetTaskSpecification().GetRuntimeEnvHash(); + auto runtime_env_hash = leases[0].GetLeaseSpecification().GetRuntimeEnvHash(); std::shared_ptr worker1 = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); pool_.PushWorker(std::static_pointer_cast(worker1)); pool_.TriggerCallbacks(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker1)); current_time_ms_ += UNIT; std::shared_ptr worker2 = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); pool_.PushWorker(std::static_pointer_cast(worker2)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 2); - RayTask buf; - local_task_manager_->TaskFinished(worker1, &buf); - local_task_manager_->TaskFinished(worker2, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(worker1, &buf); + local_lease_manager_->CleanupLease(worker2, &buf); AssertNoLeaks(); for (int i = 0; i < 2; i++) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); } std::shared_ptr worker3 = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); pool_.PushWorker(std::static_pointer_cast(worker3)); pool_.TriggerCallbacks(); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 3); - ASSERT_TRUE(local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker3)); + ASSERT_TRUE(local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker3)); current_time_ms_ += UNIT; std::shared_ptr worker4 = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); pool_.PushWorker(std::static_pointer_cast(worker4)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 4); { // Ensure a class of a different scheduling class can still be scheduled. - RayTask task5 = CreateTask({}, - /*num_args=*/0, - /*args=*/{}); - task_manager_.QueueAndScheduleTask(task5, false, false, &reply, callback); + RayLease lease5 = CreateLease({}, + /*num_args=*/0, + /*args=*/{}); + lease_manager_.QueueAndScheduleLease(lease5, false, false, &reply, callback); std::shared_ptr worker5 = std::make_shared(WorkerID::FromRandom(), 1234, runtime_env_hash); pool_.PushWorker(std::static_pointer_cast(worker5)); - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 5); - local_task_manager_->TaskFinished(worker5, &buf); + local_lease_manager_->CleanupLease(worker5, &buf); } - local_task_manager_->TaskFinished(worker3, &buf); - local_task_manager_->TaskFinished(worker4, &buf); + local_lease_manager_->CleanupLease(worker3, &buf); + local_lease_manager_->CleanupLease(worker4, &buf); AssertNoLeaks(); } /// Test that scheduling classes which have reached their running cap start -/// their timer after the new task is submitted, not before. -TEST_F(ClusterTaskManagerTest, DispatchTimerAfterRequestTest) { +/// their timer after the new lease is submitted, not before. +TEST_F(ClusterLeaseManagerTest, DispatchTimerAfterRequestTest) { int64_t UNIT = RayConfig::instance().worker_cap_initial_backoff_delay_ms(); - RayTask first_task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); + RayLease first_lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); rpc::RequestWorkerLeaseReply reply; int num_callbacks = 0; auto callback = [&num_callbacks](Status, std::function, std::function) { num_callbacks++; }; - task_manager_.QueueAndScheduleTask(first_task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(first_lease, false, false, &reply, callback); - auto runtime_env_hash = first_task.GetTaskSpecification().GetRuntimeEnvHash(); + auto runtime_env_hash = first_lease.GetLeaseSpecification().GetRuntimeEnvHash(); std::vector> workers; for (int i = 0; i < 3; i++) { std::shared_ptr worker = @@ -2800,68 +2835,68 @@ TEST_F(ClusterTaskManagerTest, DispatchTimerAfterRequestTest) { pool_.TriggerCallbacks(); workers.push_back(worker); } - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); ASSERT_EQ(num_callbacks, 1); - RayTask second_task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - task_manager_.QueueAndScheduleTask(second_task, false, false, &reply, callback); + RayLease second_lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + lease_manager_.QueueAndScheduleLease(second_lease, false, false, &reply, callback); pool_.TriggerCallbacks(); /// Can't schedule yet due to the cap. ASSERT_EQ(num_callbacks, 1); for (auto &worker : workers) { if (worker->GetAllocatedInstances() && !worker->IsBlocked()) { - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); } } current_time_ms_ += UNIT; - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 2); for (auto &worker : workers) { if (worker->GetAllocatedInstances() && !worker->IsBlocked()) { - local_task_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); + local_lease_manager_->ReleaseCpuResourcesFromBlockedWorker(worker); } } /// A lot of time passes, definitely more than the timeout. current_time_ms_ += 100000 * UNIT; - RayTask third_task = CreateTask({{ray::kCPU_ResourceLabel, 8}}, - /*num_args=*/0, - /*args=*/{}); - task_manager_.QueueAndScheduleTask(third_task, false, false, &reply, callback); + RayLease third_lease = CreateLease({{ray::kCPU_ResourceLabel, 8}}, + /*num_args=*/0, + /*args=*/{}); + lease_manager_.QueueAndScheduleLease(third_lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - /// We still can't schedule the third task since the timer doesn't start - /// until after the task is queued. + /// We still can't schedule the third lease since the timer doesn't start + /// until after the lease is queued. ASSERT_EQ(num_callbacks, 2); current_time_ms_ += 2 * UNIT; - task_manager_.ScheduleAndDispatchTasks(); + lease_manager_.ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); ASSERT_EQ(num_callbacks, 3); for (auto &worker : workers) { - RayTask buf; - local_task_manager_->TaskFinished(worker, &buf); + RayLease buf; + local_lease_manager_->CleanupLease(worker, &buf); } AssertNoLeaks(); } -TEST_F(ClusterTaskManagerTest, PopWorkerBeforeDraining) { +TEST_F(ClusterLeaseManagerTest, PopWorkerBeforeDraining) { /* Test that if PopWorker happens before draining, the lease request can still succeed. */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -2869,7 +2904,7 @@ TEST_F(ClusterTaskManagerTest, PopWorkerBeforeDraining) { Status, std::function, std::function) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); // Drain the local node. rpc::DrainRayletRequest drain_request; @@ -2884,11 +2919,11 @@ TEST_F(ClusterTaskManagerTest, PopWorkerBeforeDraining) { ASSERT_EQ(leased_workers_.size(), 1); } -TEST_F(ClusterTaskManagerTest, UnscheduleableWhileDraining) { +TEST_F(ClusterLeaseManagerTest, UnscheduleableWhileDraining) { /* - Test that new tasks are not scheduled onto draining nodes. + Test that new leases are not scheduled onto draining nodes. */ - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -2896,7 +2931,7 @@ TEST_F(ClusterTaskManagerTest, UnscheduleableWhileDraining) { Status, std::function, std::function) { *callback_occurred_ptr = true; }; - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); std::shared_ptr worker = std::make_shared(WorkerID::FromRandom(), 1234); std::shared_ptr worker2 = @@ -2916,10 +2951,10 @@ TEST_F(ClusterTaskManagerTest, UnscheduleableWhileDraining) { drain_request.set_deadline_timestamp_ms(std::numeric_limits::max()); scheduler_->GetLocalResourceManager().SetLocalNodeDraining(drain_request); - RayTask spillback_task = CreateTask({{ray::kCPU_ResourceLabel, 1}}); + RayLease spillback_lease = CreateLease({{ray::kCPU_ResourceLabel, 1}}); rpc::RequestWorkerLeaseReply spillback_reply; - task_manager_.QueueAndScheduleTask( - spillback_task, false, false, &spillback_reply, callback); + lease_manager_.QueueAndScheduleLease( + spillback_lease, false, false, &spillback_reply, callback); pool_.TriggerCallbacks(); ASSERT_EQ(leased_workers_.size(), 1); ASSERT_EQ(pool_.workers.size(), 1); @@ -2927,9 +2962,9 @@ TEST_F(ClusterTaskManagerTest, UnscheduleableWhileDraining) { } // Regression test for https://github.com/ray-project/ray/issues/16935: -// When a task requires 1 CPU and is infeasible because head node has 0 CPU, -// make sure the task's resource demand is reported. -TEST_F(ClusterTaskManagerTestWithoutCPUsAtHead, OneCpuInfeasibleTask) { +// When a lease requires 1 CPU and is infeasible because head node has 0 CPU, +// make sure the lease's resource demand is reported. +TEST_F(ClusterLeaseManagerTestWithoutCPUsAtHead, OneCpuInfeasibleLease) { rpc::RequestWorkerLeaseReply reply; bool callback_occurred = false; bool *callback_occurred_ptr = &callback_occurred; @@ -2940,7 +2975,7 @@ TEST_F(ClusterTaskManagerTestWithoutCPUsAtHead, OneCpuInfeasibleTask) { }; constexpr int num_cases = 5; - // Create 5 tasks with different CPU requests. + // Create 5 leases with different CPU requests. const std::array cpu_request = {1, 2, 1, 3, 1}; // Each type of CPU request corresponds to a types of resource demand. const std::array demand_types = {1, 2, 2, 3, 3}; @@ -2948,18 +2983,18 @@ TEST_F(ClusterTaskManagerTestWithoutCPUsAtHead, OneCpuInfeasibleTask) { const std::array num_infeasible_1cpu = {1, 1, 2, 2, 3}; for (int i = 0; i < num_cases; ++i) { - RayTask task = CreateTask({{ray::kCPU_ResourceLabel, cpu_request[i]}}); - task_manager_.QueueAndScheduleTask(task, false, false, &reply, callback); + RayLease lease = CreateLease({{ray::kCPU_ResourceLabel, cpu_request[i]}}); + lease_manager_.QueueAndScheduleLease(lease, false, false, &reply, callback); pool_.TriggerCallbacks(); - // The task cannot run because there is only 1 node (head) with 0 CPU. + // The lease cannot run because there is only 1 node (head) with 0 CPU. ASSERT_FALSE(callback_occurred); ASSERT_EQ(leased_workers_.size(), 0); ASSERT_EQ(pool_.workers.size(), 0); ASSERT_EQ(node_info_calls_, 0); rpc::ResourcesData data; - task_manager_.FillResourceUsage(data); + lease_manager_.FillResourceUsage(data); const auto &resource_load_by_shape = data.resource_load_by_shape(); ASSERT_EQ(resource_load_by_shape.resource_demands().size(), demand_types[i]); diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc index cafc79dfbeab..f4b0d92bdaed 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc @@ -508,8 +508,10 @@ TEST_F(ClusterResourceSchedulerTest, SchedulingWithPreferredNodeTest) { // Remote node is feasible but has no available resource. resource_scheduler.GetClusterResourceManager().AddOrUpdateNode( remote_node_id, remote_resource_total, {{"CPU", 0}}); + LeaseSpecification lease_spec1( + std::move(spec_builder_1).ConsumeAndBuild().GetMessage()); auto node_id_3 = resource_scheduler.GetBestSchedulableNode( - std::move(spec_builder_1).ConsumeAndBuild(), + lease_spec1, /*preferred_node_id=*/local_node_id.Binary(), false, false, @@ -550,8 +552,10 @@ TEST_F(ClusterResourceSchedulerTest, SchedulingWithPreferredNodeTest) { "", nullptr); spec_builder_2.SetNormalTaskSpec(0, false, "", scheduling_strategy, ActorID::Nil()); + LeaseSpecification lease_spec2( + std::move(spec_builder_2).ConsumeAndBuild().GetMessage()); auto node_id_4 = resource_scheduler.GetBestSchedulableNode( - std::move(spec_builder_2).ConsumeAndBuild(), + lease_spec2, /*preferred_node_id=*/local_node_id.Binary(), false, false, @@ -1848,8 +1852,8 @@ TEST_F(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest) { label_selector_spec.SetNormalTaskSpec( 0, false, "", scheduling_strategy, ActorID::Nil()); auto built_label_selector = std::move(label_selector_spec).ConsumeAndBuild(); - resource_scheduler.GetBestSchedulableNode( - built_label_selector, "", false, false, &is_infeasible); + LeaseSpecification lease_spec(built_label_selector.GetMessage()); + resource_scheduler.GetBestSchedulableNode(lease_spec, "", false, false, &is_infeasible); ASSERT_TRUE(is_infeasible); // Set node labels - node should now be schedulable @@ -1858,7 +1862,7 @@ TEST_F(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest) { }; resource_scheduler.GetClusterResourceManager().SetNodeLabels(node_1, test_labels); auto best_node_2 = resource_scheduler.GetBestSchedulableNode( - built_label_selector, "", false, false, &is_infeasible); + lease_spec, "", false, false, &is_infeasible); ASSERT_EQ(best_node_2, node_1); ASSERT_FALSE(is_infeasible); } diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 52321de9f933..f0b0cbc877ff 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -70,7 +70,6 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:id", - "//src/ray/common:task_common", "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/raylet:placement_group_resource_manager", "@com_google_googletest//:gtest_main", @@ -96,31 +95,32 @@ ray_cc_test( ) ray_cc_test( - name = "dependency_manager_test", + name = "lease_dependency_manager_test", size = "small", - srcs = ["dependency_manager_test.cc"], + srcs = ["lease_dependency_manager_test.cc"], tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/common:test_util", - "//src/ray/raylet:dependency_manager", + "//src/ray/raylet:lease_dependency_manager", "@com_google_googletest//:gtest_main", ], ) ray_cc_test( - name = "local_task_manager_test", + name = "local_lease_manager_test", size = "small", - srcs = ["local_task_manager_test.cc"], + srcs = ["local_lease_manager_test.cc"], tags = ["team:core"], deps = [ ":util", "//:ray_mock", "//src/ray/common:id", + "//src/ray/common:lease", "//src/ray/common:task_common", "//src/ray/common:test_util", - "//src/ray/raylet:local_task_manager", + "//src/ray/raylet:local_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", ], @@ -135,7 +135,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":util", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/raylet:worker_killing_policy", "@com_google_googletest//:gtest_main", ], @@ -150,7 +150,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":util", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/raylet:worker_killing_policy", "@com_google_googletest//:gtest_main", ], @@ -165,7 +165,7 @@ ray_cc_test( tags = ["team:core"], deps = [ ":util", - "//src/ray/common:task_common", + "//src/ray/common:lease", "//src/ray/raylet:worker_killing_policy", "@com_google_googletest//:gtest_main", ], @@ -181,11 +181,13 @@ ray_cc_test( "//:ray_fakes", "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", + "//src/ray/common:lease", "//src/ray/common:ray_object", + "//src/ray/common:task_common", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", - "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/util:macros", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/tests/dependency_manager_test.cc b/src/ray/raylet/tests/dependency_manager_test.cc deleted file mode 100644 index 9ad14a15df91..000000000000 --- a/src/ray/raylet/tests/dependency_manager_test.cc +++ /dev/null @@ -1,399 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/dependency_manager.h" - -#include -#include -#include -#include -#include - -#include "gmock/gmock.h" -#include "gtest/gtest.h" -#include "mock/ray/object_manager/object_manager.h" -#include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" - -namespace ray { - -namespace raylet { - -using ::testing::_; -using ::testing::InSequence; -using ::testing::Return; - -class CustomMockObjectManager : public MockObjectManager { - public: - uint64_t Pull(const std::vector &object_refs, - BundlePriority prio, - const TaskMetricsKey &task_key) override { - if (prio == BundlePriority::GET_REQUEST) { - active_get_requests.insert(req_id); - } else if (prio == BundlePriority::WAIT_REQUEST) { - active_wait_requests.insert(req_id); - } else { - active_task_requests.insert(req_id); - } - return req_id++; - } - - void CancelPull(uint64_t request_id) override { - ASSERT_TRUE(active_get_requests.erase(request_id) || - active_wait_requests.erase(request_id) || - active_task_requests.erase(request_id)); - } - - bool PullRequestActiveOrWaitingForMetadata(uint64_t request_id) const override { - return active_get_requests.count(request_id) || - active_wait_requests.count(request_id) || - active_task_requests.count(request_id); - } - - uint64_t req_id = 1; - std::unordered_set active_get_requests; - std::unordered_set active_wait_requests; - std::unordered_set active_task_requests; -}; - -class DependencyManagerTest : public ::testing::Test { - public: - DependencyManagerTest() - : object_manager_mock_(), dependency_manager_(object_manager_mock_) {} - - int64_t NumWaiting(const std::string &task_name) { - return dependency_manager_.waiting_tasks_counter_.Get({task_name, false}); - } - - int64_t NumWaitingTotal() { return dependency_manager_.waiting_tasks_counter_.Total(); } - - void AssertNoLeaks() { - ASSERT_TRUE(dependency_manager_.required_objects_.empty()); - ASSERT_TRUE(dependency_manager_.queued_task_requests_.empty()); - ASSERT_TRUE(dependency_manager_.get_requests_.empty()); - ASSERT_TRUE(dependency_manager_.wait_requests_.empty()); - ASSERT_EQ(dependency_manager_.waiting_tasks_counter_.Total(), 0); - // All pull requests are canceled. - ASSERT_TRUE(object_manager_mock_.active_task_requests.empty()); - ASSERT_TRUE(object_manager_mock_.active_get_requests.empty()); - ASSERT_TRUE(object_manager_mock_.active_wait_requests.empty()); - } - - CustomMockObjectManager object_manager_mock_; - DependencyManager dependency_manager_; -}; - -/// Test requesting the dependencies for a task. The dependency manager should -/// return the task ID as ready once all of its arguments are local. -TEST_F(DependencyManagerTest, TestSimpleTask) { - // Create a task with 3 arguments. - int num_arguments = 3; - std::vector arguments; - for (int i = 0; i < num_arguments; i++) { - arguments.push_back(ObjectID::FromRandom()); - } - TaskID task_id = RandomTaskId(); - bool ready = dependency_manager_.RequestTaskDependencies( - task_id, ObjectIdsToRefs(arguments), {"foo", false}); - ASSERT_FALSE(ready); - ASSERT_EQ(NumWaiting("bar"), 0); - ASSERT_EQ(NumWaiting("foo"), 1); - ASSERT_EQ(NumWaitingTotal(), 1); - - // For each argument, tell the task dependency manager that the argument is - // local. All arguments should be canceled as they become available locally. - auto ready_task_ids = dependency_manager_.HandleObjectLocal(arguments[0]); - ASSERT_TRUE(ready_task_ids.empty()); - ready_task_ids = dependency_manager_.HandleObjectLocal(arguments[1]); - ASSERT_TRUE(ready_task_ids.empty()); - // The task is ready to run. - ready_task_ids = dependency_manager_.HandleObjectLocal(arguments[2]); - ASSERT_EQ(ready_task_ids.size(), 1); - ASSERT_EQ(ready_task_ids.front(), task_id); - ASSERT_EQ(NumWaiting("bar"), 0); - ASSERT_EQ(NumWaiting("foo"), 0); - ASSERT_EQ(NumWaitingTotal(), 0); - - // Remove the task. - dependency_manager_.RemoveTaskDependencies(task_id); - AssertNoLeaks(); -} - -/// Test multiple tasks that depend on the same object. The dependency manager -/// should return all task IDs as ready once the object is local. -TEST_F(DependencyManagerTest, TestMultipleTasks) { - // Create 3 tasks that are dependent on the same object. - ObjectID argument_id = ObjectID::FromRandom(); - std::vector dependent_tasks; - int num_dependent_tasks = 3; - for (int i = 0; i < num_dependent_tasks; i++) { - TaskID task_id = RandomTaskId(); - dependent_tasks.push_back(task_id); - bool ready = dependency_manager_.RequestTaskDependencies( - task_id, ObjectIdsToRefs({argument_id}), {"foo", false}); - ASSERT_FALSE(ready); - // The object should be requested from the object manager once for each task. - ASSERT_EQ(object_manager_mock_.active_task_requests.size(), i + 1); - } - ASSERT_EQ(NumWaiting("bar"), 0); - ASSERT_EQ(NumWaiting("foo"), 3); - ASSERT_EQ(NumWaitingTotal(), 3); - - // Tell the task dependency manager that the object is local. - auto ready_task_ids = dependency_manager_.HandleObjectLocal(argument_id); - // Check that all tasks are now ready to run. - std::unordered_set added_tasks(dependent_tasks.begin(), dependent_tasks.end()); - for (auto &id : ready_task_ids) { - ASSERT_TRUE(added_tasks.erase(id)); - } - ASSERT_TRUE(added_tasks.empty()); - - for (auto &id : dependent_tasks) { - dependency_manager_.RemoveTaskDependencies(id); - } - AssertNoLeaks(); -} - -/// Test task with multiple dependencies. The dependency manager should return -/// the task ID as ready once all dependencies are local. If a dependency is -/// later evicted, the dependency manager should return the task ID as waiting. -TEST_F(DependencyManagerTest, TestTaskArgEviction) { - // Add a task with 3 arguments. - int num_arguments = 3; - std::vector arguments; - for (int i = 0; i < num_arguments; i++) { - arguments.push_back(ObjectID::FromRandom()); - } - TaskID task_id = RandomTaskId(); - bool ready = dependency_manager_.RequestTaskDependencies( - task_id, ObjectIdsToRefs(arguments), {"", false}); - ASSERT_FALSE(ready); - - // Tell the task dependency manager that each of the arguments is now - // available. - for (size_t i = 0; i < arguments.size(); i++) { - std::vector ready_tasks; - ready_tasks = dependency_manager_.HandleObjectLocal(arguments[i]); - if (i == arguments.size() - 1) { - ASSERT_EQ(ready_tasks.size(), 1); - ASSERT_EQ(ready_tasks.front(), task_id); - } else { - ASSERT_TRUE(ready_tasks.empty()); - } - } - - // Simulate each of the arguments getting evicted. Each object should now be - // considered remote. - for (size_t i = 0; i < arguments.size(); i++) { - std::vector waiting_tasks; - waiting_tasks = dependency_manager_.HandleObjectMissing(arguments[i]); - if (i == 0) { - // The first eviction should cause the task to go back to the waiting - // state. - ASSERT_EQ(waiting_tasks.size(), 1); - ASSERT_EQ(waiting_tasks.front(), task_id); - } else { - // The subsequent evictions shouldn't cause any more tasks to go back to - // the waiting state. - ASSERT_TRUE(waiting_tasks.empty()); - } - } - - // Tell the task dependency manager that each of the arguments is available - // again. - for (size_t i = 0; i < arguments.size(); i++) { - std::vector ready_tasks; - ready_tasks = dependency_manager_.HandleObjectLocal(arguments[i]); - if (i == arguments.size() - 1) { - ASSERT_EQ(ready_tasks.size(), 1); - ASSERT_EQ(ready_tasks.front(), task_id); - } else { - ASSERT_TRUE(ready_tasks.empty()); - } - } - - dependency_manager_.RemoveTaskDependencies(task_id); - AssertNoLeaks(); -} - -/// Test `ray.get`. Worker calls ray.get on {oid1}, then {oid1, oid2}, then -/// {oid1, oid2, oid3}. -TEST_F(DependencyManagerTest, TestGet) { - WorkerID worker_id = WorkerID::FromRandom(); - int num_arguments = 3; - std::vector arguments; - for (int i = 0; i < num_arguments; i++) { - // Add the new argument to the list of dependencies to subscribe to. - ObjectID argument_id = ObjectID::FromRandom(); - arguments.push_back(argument_id); - // Subscribe to the task's dependencies. All arguments except the last are - // duplicates of previous subscription calls. Each argument should only be - // requested from the node manager once. - auto prev_pull_reqs = object_manager_mock_.active_get_requests; - dependency_manager_.StartOrUpdateGetRequest(worker_id, ObjectIdsToRefs(arguments)); - // Previous pull request for this get should be canceled upon each new - // bundle. - ASSERT_EQ(object_manager_mock_.active_get_requests.size(), 1); - ASSERT_NE(object_manager_mock_.active_get_requests, prev_pull_reqs); - } - - // Nothing happens if the same bundle is requested. - auto prev_pull_reqs = object_manager_mock_.active_get_requests; - dependency_manager_.StartOrUpdateGetRequest(worker_id, ObjectIdsToRefs(arguments)); - ASSERT_EQ(object_manager_mock_.active_get_requests, prev_pull_reqs); - - // Cancel the pull request once the worker cancels the `ray.get`. - dependency_manager_.CancelGetRequest(worker_id); - AssertNoLeaks(); -} - -/// Test that when one of the objects becomes local after a `ray.wait` call, -/// all requests to remote nodes associated with the object are canceled. -TEST_F(DependencyManagerTest, TestWait) { - // Generate a random worker and objects to wait on. - WorkerID worker_id = WorkerID::FromRandom(); - int num_objects = 3; - std::vector oids; - for (int i = 0; i < num_objects; i++) { - oids.push_back(ObjectID::FromRandom()); - } - dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); - - for (int i = 0; i < num_objects; i++) { - // Object is local. - auto ready_task_ids = dependency_manager_.HandleObjectLocal(oids[i]); - - // Local object gets evicted. The `ray.wait` call should not be - // reactivated. - auto waiting_task_ids = dependency_manager_.HandleObjectMissing(oids[i]); - ASSERT_TRUE(waiting_task_ids.empty()); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - i - 1); - } - AssertNoLeaks(); -} - -/// Test that when no objects are locally available, a `ray.wait` call makes -/// the correct requests to remote nodes and correctly cancels the requests -/// when the `ray.wait` call is canceled. -TEST_F(DependencyManagerTest, TestWaitThenCancel) { - // Generate a random worker and objects to wait on. - WorkerID worker_id = WorkerID::FromRandom(); - int num_objects = 3; - std::vector oids; - for (int i = 0; i < num_objects; i++) { - oids.push_back(ObjectID::FromRandom()); - } - // Simulate a worker calling `ray.wait` on some objects. - dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); - // Check that it's okay to call `ray.wait` on the same objects again. No new - // calls should be made to try and make the objects local. - dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); - // Cancel the worker's `ray.wait`. - dependency_manager_.CancelWaitRequest(worker_id); - AssertNoLeaks(); -} - -/// Test that when one of the objects is already local at the time of the -/// `ray.wait` call, the `ray.wait` call does not trigger any requests to -/// remote nodes for that object. -TEST_F(DependencyManagerTest, TestWaitObjectLocal) { - // Generate a random worker and objects to wait on. - WorkerID worker_id = WorkerID::FromRandom(); - int num_objects = 3; - std::vector oids; - for (int i = 0; i < num_objects; i++) { - oids.push_back(ObjectID::FromRandom()); - } - // Simulate one of the objects becoming local. The later `ray.wait` call - // should have no effect because the object is already local. - const ObjectID local_object_id = std::move(oids.back()); - auto ready_task_ids = dependency_manager_.HandleObjectLocal(local_object_id); - ASSERT_TRUE(ready_task_ids.empty()); - dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - 1); - // Simulate the local object getting evicted. The `ray.wait` call should not - // be reactivated. - auto waiting_task_ids = dependency_manager_.HandleObjectMissing(local_object_id); - ASSERT_TRUE(waiting_task_ids.empty()); - ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - 1); - // Cancel the worker's `ray.wait`. - dependency_manager_.CancelWaitRequest(worker_id); - AssertNoLeaks(); -} - -/// Test requesting the dependencies for a task. The dependency manager should -/// return the task ID as ready once all of its unique arguments are local. -TEST_F(DependencyManagerTest, TestDuplicateTaskArgs) { - // Create a task with 3 arguments. - int num_arguments = 3; - auto obj_id = ObjectID::FromRandom(); - std::vector arguments; - for (int i = 0; i < num_arguments; i++) { - arguments.push_back(obj_id); - } - TaskID task_id = RandomTaskId(); - bool ready = dependency_manager_.RequestTaskDependencies( - task_id, ObjectIdsToRefs(arguments), {"", false}); - ASSERT_FALSE(ready); - ASSERT_EQ(object_manager_mock_.active_task_requests.size(), 1); - - auto ready_task_ids = dependency_manager_.HandleObjectLocal(obj_id); - ASSERT_EQ(ready_task_ids.size(), 1); - ASSERT_EQ(ready_task_ids.front(), task_id); - dependency_manager_.RemoveTaskDependencies(task_id); - - TaskID task_id2 = RandomTaskId(); - ready = dependency_manager_.RequestTaskDependencies( - task_id2, ObjectIdsToRefs(arguments), {"", false}); - ASSERT_TRUE(ready); - ASSERT_EQ(object_manager_mock_.active_task_requests.size(), 1); - dependency_manager_.RemoveTaskDependencies(task_id2); - - AssertNoLeaks(); -} - -/// Test that RemoveTaskDependencies is called before objects -/// becoming local (e.g. the task is cancelled). -TEST_F(DependencyManagerTest, TestRemoveTaskDependenciesBeforeLocal) { - int num_arguments = 3; - std::vector arguments; - for (int i = 0; i < num_arguments; i++) { - arguments.push_back(ObjectID::FromRandom()); - } - TaskID task_id = RandomTaskId(); - bool ready = dependency_manager_.RequestTaskDependencies( - task_id, ObjectIdsToRefs(arguments), {"foo", false}); - ASSERT_FALSE(ready); - ASSERT_EQ(NumWaiting("bar"), 0); - ASSERT_EQ(NumWaiting("foo"), 1); - ASSERT_EQ(NumWaitingTotal(), 1); - - // The task is cancelled - dependency_manager_.RemoveTaskDependencies(task_id); - ASSERT_EQ(NumWaiting("foo"), 0); - ASSERT_EQ(NumWaitingTotal(), 0); - AssertNoLeaks(); -} - -} // namespace raylet - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} diff --git a/src/ray/raylet/tests/lease_dependency_manager_test.cc b/src/ray/raylet/tests/lease_dependency_manager_test.cc new file mode 100644 index 000000000000..d240d45566db --- /dev/null +++ b/src/ray/raylet/tests/lease_dependency_manager_test.cc @@ -0,0 +1,403 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/raylet/lease_dependency_manager.h" + +#include +#include +#include +#include +#include + +#include "gmock/gmock.h" +#include "gtest/gtest.h" +#include "mock/ray/object_manager/object_manager.h" +#include "ray/common/test_util.h" + +namespace ray { + +namespace raylet { + +using ::testing::_; +using ::testing::InSequence; +using ::testing::Return; + +class CustomMockObjectManager : public MockObjectManager { + public: + uint64_t Pull(const std::vector &object_refs, + BundlePriority prio, + const TaskMetricsKey &task_key) override { + if (prio == BundlePriority::GET_REQUEST) { + active_get_requests.insert(req_id); + } else if (prio == BundlePriority::WAIT_REQUEST) { + active_wait_requests.insert(req_id); + } else { + active_lease_requests.insert(req_id); + } + return req_id++; + } + + void CancelPull(uint64_t request_id) override { + ASSERT_TRUE(active_get_requests.erase(request_id) || + active_wait_requests.erase(request_id) || + active_lease_requests.erase(request_id)); + } + + bool PullRequestActiveOrWaitingForMetadata(uint64_t request_id) const override { + return active_get_requests.count(request_id) || + active_wait_requests.count(request_id) || + active_lease_requests.count(request_id); + } + + uint64_t req_id = 1; + std::unordered_set active_get_requests; + std::unordered_set active_wait_requests; + std::unordered_set active_lease_requests; +}; + +class LeaseDependencyManagerTest : public ::testing::Test { + public: + LeaseDependencyManagerTest() + : object_manager_mock_(), lease_dependency_manager_(object_manager_mock_) {} + + int64_t NumWaiting(const std::string &lease_name) { + return lease_dependency_manager_.waiting_leases_counter_.Get({lease_name, false}); + } + + int64_t NumWaitingTotal() { + return lease_dependency_manager_.waiting_leases_counter_.Total(); + } + + void AssertNoLeaks() { + ASSERT_TRUE(lease_dependency_manager_.required_objects_.empty()); + ASSERT_TRUE(lease_dependency_manager_.queued_lease_requests_.empty()); + ASSERT_TRUE(lease_dependency_manager_.get_requests_.empty()); + ASSERT_TRUE(lease_dependency_manager_.wait_requests_.empty()); + ASSERT_EQ(lease_dependency_manager_.waiting_leases_counter_.Total(), 0); + // All pull requests are canceled. + ASSERT_TRUE(object_manager_mock_.active_lease_requests.empty()); + ASSERT_TRUE(object_manager_mock_.active_get_requests.empty()); + ASSERT_TRUE(object_manager_mock_.active_wait_requests.empty()); + } + + CustomMockObjectManager object_manager_mock_; + LeaseDependencyManager lease_dependency_manager_; +}; + +/// Test requesting the dependencies for a lease. The dependency manager should +/// return the lease ID as ready once all of its arguments are local. +TEST_F(LeaseDependencyManagerTest, TestSimpleLease) { + // Create a lease with 3 arguments. + int num_arguments = 3; + std::vector arguments; + for (int i = 0; i < num_arguments; i++) { + arguments.push_back(ObjectID::FromRandom()); + } + LeaseID lease_id = LeaseID::FromRandom(); + bool ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, ObjectIdsToRefs(arguments), {"foo", false}); + ASSERT_FALSE(ready); + ASSERT_EQ(NumWaiting("bar"), 0); + ASSERT_EQ(NumWaiting("foo"), 1); + ASSERT_EQ(NumWaitingTotal(), 1); + + // For each argument, tell the lease dependency manager that the argument is + // local. All arguments should be canceled as they become available locally. + auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(arguments[0]); + ASSERT_TRUE(ready_lease_ids.empty()); + ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(arguments[1]); + ASSERT_TRUE(ready_lease_ids.empty()); + // The lease is ready to run. + ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(arguments[2]); + ASSERT_EQ(ready_lease_ids.size(), 1); + ASSERT_EQ(ready_lease_ids.front(), lease_id); + ASSERT_EQ(NumWaiting("bar"), 0); + ASSERT_EQ(NumWaiting("foo"), 0); + ASSERT_EQ(NumWaitingTotal(), 0); + + // Remove the lease. + lease_dependency_manager_.RemoveLeaseDependencies(lease_id); + AssertNoLeaks(); +} + +/// Test multiple leases that depend on the same object. The dependency manager +/// should return all lease IDs as ready once the object is local. +TEST_F(LeaseDependencyManagerTest, TestMultipleLeases) { + // Create 3 leases that are dependent on the same object. + ObjectID argument_id = ObjectID::FromRandom(); + std::vector dependent_leases; + int num_dependent_leases = 3; + for (int i = 0; i < num_dependent_leases; i++) { + LeaseID lease_id = LeaseID::FromRandom(); + dependent_leases.push_back(lease_id); + bool ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, ObjectIdsToRefs({argument_id}), {"foo", false}); + ASSERT_FALSE(ready); + // The object should be requested from the object manager once for each lease. + ASSERT_EQ(object_manager_mock_.active_lease_requests.size(), i + 1); + } + ASSERT_EQ(NumWaiting("bar"), 0); + ASSERT_EQ(NumWaiting("foo"), 3); + ASSERT_EQ(NumWaitingTotal(), 3); + + // Tell the lease dependency manager that the object is local. + auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(argument_id); + // Check that all leases are now ready to run. + std::unordered_set added_leases(dependent_leases.begin(), + dependent_leases.end()); + for (auto &id : ready_lease_ids) { + ASSERT_TRUE(added_leases.erase(id)); + } + ASSERT_TRUE(added_leases.empty()); + + for (auto &id : dependent_leases) { + lease_dependency_manager_.RemoveLeaseDependencies(id); + } + AssertNoLeaks(); +} + +/// Test lease with multiple dependencies. The dependency manager should return +/// the lease ID as ready once all dependencies are local. If a dependency is +/// later evicted, the dependency manager should return the lease ID as waiting. +TEST_F(LeaseDependencyManagerTest, TestLeaseArgEviction) { + // Add a lease with 3 arguments. + int num_arguments = 3; + std::vector arguments; + for (int i = 0; i < num_arguments; i++) { + arguments.push_back(ObjectID::FromRandom()); + } + LeaseID lease_id = LeaseID::FromRandom(); + bool ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, ObjectIdsToRefs(arguments), {"", false}); + ASSERT_FALSE(ready); + + // Tell the lease dependency manager that each of the arguments is now + // available. + for (size_t i = 0; i < arguments.size(); i++) { + std::vector ready_leases; + ready_leases = lease_dependency_manager_.HandleObjectLocal(arguments[i]); + if (i == arguments.size() - 1) { + ASSERT_EQ(ready_leases.size(), 1); + ASSERT_EQ(ready_leases.front(), lease_id); + } else { + ASSERT_TRUE(ready_leases.empty()); + } + } + + // Simulate each of the arguments getting evicted. Each object should now be + // considered remote. + for (size_t i = 0; i < arguments.size(); i++) { + std::vector waiting_leases; + waiting_leases = lease_dependency_manager_.HandleObjectMissing(arguments[i]); + if (i == 0) { + // The first eviction should cause the lease to go back to the waiting + // state. + ASSERT_EQ(waiting_leases.size(), 1); + ASSERT_EQ(waiting_leases.front(), lease_id); + } else { + // The subsequent evictions shouldn't cause any more leases to go back to + // the waiting state. + ASSERT_TRUE(waiting_leases.empty()); + } + } + + // Tell the lease dependency manager that each of the arguments is available + // again. + for (size_t i = 0; i < arguments.size(); i++) { + std::vector ready_leases; + ready_leases = lease_dependency_manager_.HandleObjectLocal(arguments[i]); + if (i == arguments.size() - 1) { + ASSERT_EQ(ready_leases.size(), 1); + ASSERT_EQ(ready_leases.front(), lease_id); + } else { + ASSERT_TRUE(ready_leases.empty()); + } + } + + lease_dependency_manager_.RemoveLeaseDependencies(lease_id); + AssertNoLeaks(); +} + +/// Test `ray.get`. Worker calls ray.get on {oid1}, then {oid1, oid2}, then +/// {oid1, oid2, oid3}. +TEST_F(LeaseDependencyManagerTest, TestGet) { + WorkerID worker_id = WorkerID::FromRandom(); + int num_arguments = 3; + std::vector arguments; + for (int i = 0; i < num_arguments; i++) { + // Add the new argument to the list of dependencies to subscribe to. + ObjectID argument_id = ObjectID::FromRandom(); + arguments.push_back(argument_id); + // Subscribe to the lease's dependencies. All arguments except the last are + // duplicates of previous subscription calls. Each argument should only be + // requested from the node manager once. + auto prev_pull_reqs = object_manager_mock_.active_get_requests; + lease_dependency_manager_.StartOrUpdateGetRequest(worker_id, + ObjectIdsToRefs(arguments)); + // Previous pull request for this get should be canceled upon each new + // bundle. + ASSERT_EQ(object_manager_mock_.active_get_requests.size(), 1); + ASSERT_NE(object_manager_mock_.active_get_requests, prev_pull_reqs); + } + + // Nothing happens if the same bundle is requested. + auto prev_pull_reqs = object_manager_mock_.active_get_requests; + lease_dependency_manager_.StartOrUpdateGetRequest(worker_id, + ObjectIdsToRefs(arguments)); + ASSERT_EQ(object_manager_mock_.active_get_requests, prev_pull_reqs); + + // Cancel the pull request once the worker cancels the `ray.get`. + lease_dependency_manager_.CancelGetRequest(worker_id); + AssertNoLeaks(); +} + +/// Test that when one of the objects becomes local after a `ray.wait` call, +/// all requests to remote nodes associated with the object are canceled. +TEST_F(LeaseDependencyManagerTest, TestWait) { + // Generate a random worker and objects to wait on. + WorkerID worker_id = WorkerID::FromRandom(); + int num_objects = 3; + std::vector oids; + for (int i = 0; i < num_objects; i++) { + oids.push_back(ObjectID::FromRandom()); + } + lease_dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); + + for (int i = 0; i < num_objects; i++) { + // Object is local. + auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(oids[i]); + + // Local object gets evicted. The `ray.wait` call should not be + // reactivated. + auto waiting_lease_ids = lease_dependency_manager_.HandleObjectMissing(oids[i]); + ASSERT_TRUE(waiting_lease_ids.empty()); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - i - 1); + } + AssertNoLeaks(); +} + +/// Test that when no objects are locally available, a `ray.wait` call makes +/// the correct requests to remote nodes and correctly cancels the requests +/// when the `ray.wait` call is canceled. +TEST_F(LeaseDependencyManagerTest, TestWaitThenCancel) { + // Generate a random worker and objects to wait on. + WorkerID worker_id = WorkerID::FromRandom(); + int num_objects = 3; + std::vector oids; + for (int i = 0; i < num_objects; i++) { + oids.push_back(ObjectID::FromRandom()); + } + // Simulate a worker calling `ray.wait` on some objects. + lease_dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); + // Check that it's okay to call `ray.wait` on the same objects again. No new + // calls should be made to try and make the objects local. + lease_dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects); + // Cancel the worker's `ray.wait`. + lease_dependency_manager_.CancelWaitRequest(worker_id); + AssertNoLeaks(); +} + +/// Test that when one of the objects is already local at the time of the +/// `ray.wait` call, the `ray.wait` call does not trigger any requests to +/// remote nodes for that object. +TEST_F(LeaseDependencyManagerTest, TestWaitObjectLocal) { + // Generate a random worker and objects to wait on. + WorkerID worker_id = WorkerID::FromRandom(); + int num_objects = 3; + std::vector oids; + for (int i = 0; i < num_objects; i++) { + oids.push_back(ObjectID::FromRandom()); + } + // Simulate one of the objects becoming local. The later `ray.wait` call + // should have no effect because the object is already local. + const ObjectID local_object_id = std::move(oids.back()); + auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(local_object_id); + ASSERT_TRUE(ready_lease_ids.empty()); + lease_dependency_manager_.StartOrUpdateWaitRequest(worker_id, ObjectIdsToRefs(oids)); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - 1); + // Simulate the local object getting evicted. The `ray.wait` call should not + // be reactivated. + auto waiting_lease_ids = lease_dependency_manager_.HandleObjectMissing(local_object_id); + ASSERT_TRUE(waiting_lease_ids.empty()); + ASSERT_EQ(object_manager_mock_.active_wait_requests.size(), num_objects - 1); + // Cancel the worker's `ray.wait`. + lease_dependency_manager_.CancelWaitRequest(worker_id); + AssertNoLeaks(); +} + +/// Test requesting the dependencies for a lease. The dependency manager should +/// return the lease ID as ready once all of its unique arguments are local. +TEST_F(LeaseDependencyManagerTest, TestDuplicateLeaseArgs) { + // Create a lease with 3 arguments. + int num_arguments = 3; + auto obj_id = ObjectID::FromRandom(); + std::vector arguments; + for (int i = 0; i < num_arguments; i++) { + arguments.push_back(obj_id); + } + LeaseID lease_id = LeaseID::FromRandom(); + bool ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, ObjectIdsToRefs(arguments), {"", false}); + ASSERT_FALSE(ready); + ASSERT_EQ(object_manager_mock_.active_lease_requests.size(), 1); + + auto ready_lease_ids = lease_dependency_manager_.HandleObjectLocal(obj_id); + ASSERT_EQ(ready_lease_ids.size(), 1); + ASSERT_EQ(ready_lease_ids.front(), lease_id); + lease_dependency_manager_.RemoveLeaseDependencies(lease_id); + + LeaseID lease_id2 = LeaseID::FromRandom(); + ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id2, ObjectIdsToRefs(arguments), {"", false}); + ASSERT_TRUE(ready); + ASSERT_EQ(object_manager_mock_.active_lease_requests.size(), 1); + lease_dependency_manager_.RemoveLeaseDependencies(lease_id2); + + AssertNoLeaks(); +} + +/// Test that RemoveLeaseDependencies is called before objects +/// becoming local (e.g. the lease is cancelled). +TEST_F(LeaseDependencyManagerTest, TestRemoveLeaseDependenciesBeforeLocal) { + int num_arguments = 3; + std::vector arguments; + for (int i = 0; i < num_arguments; i++) { + arguments.push_back(ObjectID::FromRandom()); + } + LeaseID lease_id = LeaseID::FromRandom(); + bool ready = lease_dependency_manager_.RequestLeaseDependencies( + lease_id, ObjectIdsToRefs(arguments), {"foo", false}); + ASSERT_FALSE(ready); + ASSERT_EQ(NumWaiting("bar"), 0); + ASSERT_EQ(NumWaiting("foo"), 1); + ASSERT_EQ(NumWaitingTotal(), 1); + + // The lease is cancelled + lease_dependency_manager_.RemoveLeaseDependencies(lease_id); + ASSERT_EQ(NumWaiting("foo"), 0); + ASSERT_EQ(NumWaitingTotal(), 0); + AssertNoLeaks(); +} + +} // namespace raylet + +} // namespace ray + +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/src/ray/raylet/tests/local_task_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc similarity index 75% rename from src/ray/raylet/tests/local_task_manager_test.cc rename to src/ray/raylet/tests/local_lease_manager_test.cc index 0c3dcac90442..d877762a9dc0 100644 --- a/src/ray/raylet/tests/local_task_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet/local_task_manager.h" +#include "ray/raylet/local_lease_manager.h" #include #include @@ -28,7 +28,7 @@ #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_manager.h" #include "ray/common/id.h" -#include "ray/common/task/task.h" +#include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" #include "ray/common/test_util.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" @@ -42,10 +42,10 @@ class MockWorkerPool : public WorkerPoolInterface { public: MockWorkerPool() : num_pops(0) {} - void PopWorker(const TaskSpecification &task_spec, + void PopWorker(const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) override { num_pops++; - const int runtime_env_hash = task_spec.GetRuntimeEnvHash(); + const int runtime_env_hash = lease_spec.GetRuntimeEnvHash(); callbacks[runtime_env_hash].push_back(callback); } @@ -81,7 +81,7 @@ class MockWorkerPool : public WorkerPoolInterface { RAY_CHECK(status != PopWorkerStatus::OK); for (const auto &pair : callbacks) { for (const auto &callback : pair.second) { - // No task should be dispatched. + // No lease should be granted. ASSERT_FALSE( callback(nullptr, status, @@ -95,23 +95,23 @@ class MockWorkerPool : public WorkerPoolInterface { for (auto it = workers.begin(); it != workers.end();) { std::shared_ptr worker = *it; auto runtime_env_hash = worker->GetRuntimeEnvHash(); - bool dispatched = false; + bool granted = false; auto cb_it = callbacks.find(runtime_env_hash); if (cb_it != callbacks.end()) { auto &list = cb_it->second; RAY_CHECK(!list.empty()); for (auto list_it = list.begin(); list_it != list.end();) { auto &callback = *list_it; - dispatched = callback(worker, PopWorkerStatus::OK, ""); + granted = callback(worker, PopWorkerStatus::OK, ""); list_it = list.erase(list_it); - if (dispatched) { + if (granted) { break; } } if (list.empty()) { callbacks.erase(cb_it); } - if (dispatched) { + if (granted) { it = workers.erase(it); continue; } @@ -208,7 +208,7 @@ class MockWorkerPool : public WorkerPoolInterface { RAY_CHECK(false) << "Not used."; } - void PrestartWorkers(const TaskSpecification &task_spec, + void PrestartWorkers(const LeaseSpecification &lease_spec, int64_t backlog_size) override { RAY_CHECK(false) << "Not used."; } @@ -265,9 +265,9 @@ std::shared_ptr CreateSingleNodeScheduler( return scheduler; } -RayTask CreateTask(const std::unordered_map &required_resources, - const std::string &task_name = "default", - const std::vector> &args = {}) { +RayLease CreateLease(const std::unordered_map &required_resources, + const std::string &task_name = "default", + const std::vector> &args = {}) { TaskSpecBuilder spec_builder; TaskID id = RandomTaskId(); JobID job_id = RandomJobId(); @@ -301,23 +301,26 @@ RayTask CreateTask(const std::unordered_map &required_resou spec_builder.AddArg(*arg); } - return RayTask(std::move(spec_builder).ConsumeAndBuild()); + TaskSpecification spec = std::move(spec_builder).ConsumeAndBuild(); + LeaseSpecification lease_spec(spec.GetMessage()); + lease_spec.GetMutableMessage().set_lease_id(LeaseID::FromRandom().Binary()); + return RayLease(std::move(lease_spec)); } } // namespace -class LocalTaskManagerTest : public ::testing::Test { +class LocalLeaseManagerTest : public ::testing::Test { public: - explicit LocalTaskManagerTest(double num_cpus = 3.0) + explicit LocalLeaseManagerTest(double num_cpus = 3.0) : gcs_client_(std::make_unique()), id_(NodeID::FromRandom()), scheduler_(CreateSingleNodeScheduler(id_.Binary(), num_cpus, *gcs_client_)), object_manager_(), - dependency_manager_(object_manager_), - local_task_manager_(std::make_shared( + lease_dependency_manager_(object_manager_), + local_lease_manager_(std::make_shared( id_, *scheduler_, - dependency_manager_, + lease_dependency_manager_, /* get_node_info= */ [this](const NodeID &node_id) -> const rpc::GcsNodeInfo * { if (node_info_.count(node_id) != 0) { @@ -327,7 +330,7 @@ class LocalTaskManagerTest : public ::testing::Test { }, pool_, leased_workers_, - /* get_task_arguments= */ + /* get_lease_arguments= */ [this](const std::vector &object_ids, std::vector> *results) { for (auto &obj_id : object_ids) { @@ -339,7 +342,7 @@ class LocalTaskManagerTest : public ::testing::Test { } return true; }, - /*max_pinned_task_arguments_bytes=*/1000, + /*max_pinned_lease_arguments_bytes=*/1000, /*get_time=*/[this]() { return current_time_ms_; })) {} void SetUp() override { @@ -370,11 +373,11 @@ class LocalTaskManagerTest : public ::testing::Test { absl::flat_hash_map node_info_; MockObjectManager object_manager_; - DependencyManager dependency_manager_; - std::shared_ptr local_task_manager_; + LeaseDependencyManager lease_dependency_manager_; + std::shared_ptr local_lease_manager_; }; -TEST_F(LocalTaskManagerTest, TestTaskDispatchingOrder) { +TEST_F(LocalLeaseManagerTest, TestLeaseGrantingOrder) { // Initial setup: 3 CPUs available. std::shared_ptr worker1 = std::make_shared(WorkerID::FromRandom(), 0); @@ -386,42 +389,42 @@ TEST_F(LocalTaskManagerTest, TestTaskDispatchingOrder) { pool_.PushWorker(std::static_pointer_cast(worker2)); pool_.PushWorker(std::static_pointer_cast(worker3)); - // First batch of tasks: 2 'f' tasks - auto task_f1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "f"); - auto task_f2 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "f"); + // First batch of leases: [f, f] + auto lease_f1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "f"); + auto lease_f2 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "f"); rpc::RequestWorkerLeaseReply reply; - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_f1, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->ScheduleAndDispatchTasks(); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_f1, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_f2, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->ScheduleAndDispatchTasks(); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_f2, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - // Second batch of tasks: [f, f, f, g] - auto task_f3 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "f"); - auto task_f4 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "f"); - auto task_f5 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "f"); - auto task_g1 = CreateTask({{ray::kCPU_ResourceLabel, 1}}, "g"); - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_f3, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_f4, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_f5, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->WaitForTaskArgsRequests(std::make_shared( - task_g1, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); - local_task_manager_->ScheduleAndDispatchTasks(); + // Second batch of leases: [f, f, f, g] + auto lease_f3 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "f"); + auto lease_f4 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "f"); + auto lease_f5 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "f"); + auto lease_g1 = CreateLease({{ray::kCPU_ResourceLabel, 1}}, "g"); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_f3, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_f4, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_f5, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->WaitForLeaseArgsRequests(std::make_shared( + lease_g1, false, false, &reply, [] {}, internal::WorkStatus::WAITING)); + local_lease_manager_->ScheduleAndGrantLeases(); pool_.TriggerCallbacks(); - auto tasks_to_dispatch_ = local_task_manager_->GetTaskToDispatch(); - // Only task f in queue now as g is dispatched. - ASSERT_EQ(tasks_to_dispatch_.size(), 1); + auto leases_to_grant_ = local_lease_manager_->GetLeasesToGrant(); + // Out of the leases in the second batch, only lease g is granted due to fair scheduling + ASSERT_EQ(leases_to_grant_.size(), 1); } -TEST_F(LocalTaskManagerTest, TestNoLeakOnImpossibleInfeasibleTask) { - // Note that ideally it shouldn't be possible for an infeasible task to - // be in the local task manager when ScheduleAndDispatchTasks happens. +TEST_F(LocalLeaseManagerTest, TestNoLeakOnImpossibleInfeasibleLease) { + // Note that ideally it shouldn't be possible for an infeasible lease to + // be in the local lease manager when ScheduleAndGrantLeases happens. // See https://github.com/ray-project/ray/pull/52295 for reasons why added this. std::shared_ptr worker1 = @@ -430,43 +433,43 @@ TEST_F(LocalTaskManagerTest, TestNoLeakOnImpossibleInfeasibleTask) { std::make_shared(WorkerID::FromRandom(), 0); pool_.PushWorker(std::static_pointer_cast(worker1)); - // Create 2 tasks that requires 3 CPU's each and are waiting on an arg. + // Create 2 leases that requires 3 CPU's each and are waiting on an arg. auto arg_id = ObjectID::FromRandom(); std::vector> args; args.push_back( std::make_unique(arg_id, rpc::Address{}, "call_site")); - auto task1 = CreateTask({{kCPU_ResourceLabel, 3}}, "f", args); - auto task2 = CreateTask({{kCPU_ResourceLabel, 3}}, "f2", args); + auto lease1 = CreateLease({{kCPU_ResourceLabel, 3}}, "f", args); + auto lease2 = CreateLease({{kCPU_ResourceLabel, 3}}, "f2", args); EXPECT_CALL(object_manager_, Pull(_, _, _)) .WillOnce(::testing::Return(1)) .WillOnce(::testing::Return(2)); - // Submit the tasks to the local task manager. + // Submit the leases to the local lease manager. int num_callbacks_called = 0; auto callback = [&num_callbacks_called]() { ++num_callbacks_called; }; rpc::RequestWorkerLeaseReply reply1; - local_task_manager_->QueueAndScheduleTask(std::make_shared( - task1, false, false, &reply1, callback, internal::WorkStatus::WAITING)); + local_lease_manager_->QueueAndScheduleLease(std::make_shared( + lease1, false, false, &reply1, callback, internal::WorkStatus::WAITING)); rpc::RequestWorkerLeaseReply reply2; - local_task_manager_->QueueAndScheduleTask(std::make_shared( - task2, false, false, &reply2, callback, internal::WorkStatus::WAITING)); + local_lease_manager_->QueueAndScheduleLease(std::make_shared( + lease2, false, false, &reply2, callback, internal::WorkStatus::WAITING)); // Node no longer has cpu. scheduler_->GetLocalResourceManager().DeleteLocalResource( scheduling::ResourceID::CPU()); // Simulate arg becoming local. - local_task_manager_->TasksUnblocked( - {task1.GetTaskSpecification().TaskId(), task2.GetTaskSpecification().TaskId()}); + local_lease_manager_->LeasesUnblocked({lease1.GetLeaseSpecification().LeaseId(), + lease2.GetLeaseSpecification().LeaseId()}); - // Assert that the the correct rpc replies were sent back and the dispatch map is empty. + // Assert that the the correct rpc replies were sent back and the grant map is empty. ASSERT_EQ(reply1.failure_type(), rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE); ASSERT_EQ(reply2.failure_type(), rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE); ASSERT_EQ(num_callbacks_called, 2); - ASSERT_EQ(local_task_manager_->GetTaskToDispatch().size(), 0); + ASSERT_EQ(local_lease_manager_->GetLeasesToGrant().size(), 0); } int main(int argc, char **argv) { diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 2f041bf2825b..e33b9fdfb796 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -29,14 +29,14 @@ #include "mock/ray/object_manager/object_directory.h" #include "mock/ray/object_manager/object_manager.h" #include "mock/ray/object_manager/plasma/client.h" -#include "mock/ray/raylet/local_task_manager.h" +#include "mock/ray/raylet/local_lease_manager.h" #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/object_manager/plasma/client.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/scheduling/cluster_task_manager.h" +#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/tests/util.h" namespace ray::raylet { @@ -183,7 +183,7 @@ class FakePlasmaClient : public plasma::PlasmaClientInterface { objects_in_plasma_; }; -TaskSpecification BuildTaskSpec( +LeaseSpecification BuildLeaseSpec( const std::unordered_map &resources) { TaskSpecBuilder builder; rpc::Address empty_address; @@ -210,11 +210,11 @@ TaskSpecification BuildTaskSpec( 0, TaskID::Nil(), ""); - return std::move(builder).ConsumeAndBuild(); + return LeaseSpecification(std::move(builder).ConsumeAndBuild().GetMessage()); } -TaskSpecBuilder DetachedActorCreationTaskBuilder(const rpc::Address &owner_address, - const ActorID &actor_id) { +LeaseSpecification DetachedActorCreationLeaseSpec(const rpc::Address &owner_address, + const ActorID &actor_id) { rpc::JobConfig config; const FunctionDescriptor function_descriptor = FunctionDescriptorBuilder::BuildPython("x", "", "", ""); @@ -254,7 +254,7 @@ TaskSpecBuilder DetachedActorCreationTaskBuilder(const rpc::Address &owner_addre /*extension_data=*/"", /*allow_out_of_order_execution=*/false, /*root_detached_actor_id=*/actor_id); - return task_spec_builder; + return LeaseSpecification(std::move(task_spec_builder).ConsumeAndBuild().GetMessage()); } } // namespace @@ -263,7 +263,7 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { { // Worker backlog report from a disconnected worker should be ignored. MockWorkerPool worker_pool; - MockLocalTaskManager local_task_manager; + MockLocalLeaseManager local_lease_manager; WorkerID worker_id = WorkerID::FromRandom(); EXPECT_CALL(worker_pool, GetRegisteredWorker(worker_id)) @@ -272,8 +272,8 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { EXPECT_CALL(worker_pool, GetRegisteredDriver(worker_id)) .Times(1) .WillOnce(Return(nullptr)); - EXPECT_CALL(local_task_manager, ClearWorkerBacklog(_)).Times(0); - EXPECT_CALL(local_task_manager, SetWorkerBacklog(_, _, _)).Times(0); + EXPECT_CALL(local_lease_manager, ClearWorkerBacklog(_)).Times(0); + EXPECT_CALL(local_lease_manager, SetWorkerBacklog(_, _, _)).Times(0); rpc::ReportWorkerBacklogRequest request; request.set_worker_id(worker_id.Binary()); @@ -284,13 +284,13 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { [](Status status, std::function success, std::function failure) { }, worker_pool, - local_task_manager); + local_lease_manager); } { // Worker backlog report from a connected driver should be recorded. MockWorkerPool worker_pool; - MockLocalTaskManager local_task_manager; + MockLocalLeaseManager local_lease_manager; WorkerID worker_id = WorkerID::FromRandom(); std::shared_ptr driver = std::make_shared(worker_id, 10); @@ -298,13 +298,13 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { rpc::ReportWorkerBacklogRequest request; request.set_worker_id(worker_id.Binary()); auto backlog_report_1 = request.add_backlog_reports(); - auto task_spec_1 = BuildTaskSpec({{"CPU", 1}}); - backlog_report_1->mutable_resource_spec()->CopyFrom(task_spec_1.GetMessage()); + auto lease_spec_1 = BuildLeaseSpec({{"CPU", 1}}); + backlog_report_1->mutable_lease_spec()->CopyFrom(lease_spec_1.GetMessage()); backlog_report_1->set_backlog_size(1); auto backlog_report_2 = request.add_backlog_reports(); - auto task_spec_2 = BuildTaskSpec({{"GPU", 2}}); - backlog_report_2->mutable_resource_spec()->CopyFrom(task_spec_2.GetMessage()); + auto lease_spec_2 = BuildLeaseSpec({{"GPU", 2}}); + backlog_report_2->mutable_lease_spec()->CopyFrom(lease_spec_2.GetMessage()); backlog_report_2->set_backlog_size(3); rpc::ReportWorkerBacklogReply reply; @@ -314,12 +314,12 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { EXPECT_CALL(worker_pool, GetRegisteredDriver(worker_id)) .Times(1) .WillOnce(Return(driver)); - EXPECT_CALL(local_task_manager, ClearWorkerBacklog(worker_id)).Times(1); - EXPECT_CALL(local_task_manager, - SetWorkerBacklog(task_spec_1.GetSchedulingClass(), worker_id, 1)) + EXPECT_CALL(local_lease_manager, ClearWorkerBacklog(worker_id)).Times(1); + EXPECT_CALL(local_lease_manager, + SetWorkerBacklog(lease_spec_1.GetSchedulingClass(), worker_id, 1)) .Times(1); - EXPECT_CALL(local_task_manager, - SetWorkerBacklog(task_spec_2.GetSchedulingClass(), worker_id, 3)) + EXPECT_CALL(local_lease_manager, + SetWorkerBacklog(lease_spec_2.GetSchedulingClass(), worker_id, 3)) .Times(1); NodeManager::HandleReportWorkerBacklog( @@ -328,13 +328,13 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { [](Status status, std::function success, std::function failure) { }, worker_pool, - local_task_manager); + local_lease_manager); } { // Worker backlog report from a connected worker should be recorded. MockWorkerPool worker_pool; - MockLocalTaskManager local_task_manager; + MockLocalLeaseManager local_lease_manager; WorkerID worker_id = WorkerID::FromRandom(); std::shared_ptr worker = std::make_shared(worker_id, 10); @@ -342,13 +342,13 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { rpc::ReportWorkerBacklogRequest request; request.set_worker_id(worker_id.Binary()); auto backlog_report_1 = request.add_backlog_reports(); - auto task_spec_1 = BuildTaskSpec({{"CPU", 1}}); - backlog_report_1->mutable_resource_spec()->CopyFrom(task_spec_1.GetMessage()); + auto lease_spec_1 = BuildLeaseSpec({{"CPU", 1}}); + backlog_report_1->mutable_lease_spec()->CopyFrom(lease_spec_1.GetMessage()); backlog_report_1->set_backlog_size(1); auto backlog_report_2 = request.add_backlog_reports(); - auto task_spec_2 = BuildTaskSpec({{"GPU", 2}}); - backlog_report_2->mutable_resource_spec()->CopyFrom(task_spec_2.GetMessage()); + auto lease_spec_2 = BuildLeaseSpec({{"GPU", 2}}); + backlog_report_2->mutable_lease_spec()->CopyFrom(lease_spec_2.GetMessage()); backlog_report_2->set_backlog_size(3); rpc::ReportWorkerBacklogReply reply; @@ -357,12 +357,12 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { .WillOnce(Return(worker)); EXPECT_CALL(worker_pool, GetRegisteredDriver(worker_id)).Times(0); - EXPECT_CALL(local_task_manager, ClearWorkerBacklog(worker_id)).Times(1); - EXPECT_CALL(local_task_manager, - SetWorkerBacklog(task_spec_1.GetSchedulingClass(), worker_id, 1)) + EXPECT_CALL(local_lease_manager, ClearWorkerBacklog(worker_id)).Times(1); + EXPECT_CALL(local_lease_manager, + SetWorkerBacklog(lease_spec_1.GetSchedulingClass(), worker_id, 1)) .Times(1); - EXPECT_CALL(local_task_manager, - SetWorkerBacklog(task_spec_2.GetSchedulingClass(), worker_id, 3)) + EXPECT_CALL(local_lease_manager, + SetWorkerBacklog(lease_spec_2.GetSchedulingClass(), worker_id, 3)) .Times(1); NodeManager::HandleReportWorkerBacklog( @@ -371,7 +371,7 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { [](Status status, std::function success, std::function failure) { }, worker_pool, - local_task_manager); + local_lease_manager); } } @@ -418,7 +418,8 @@ class NodeManagerTest : public ::testing::Test { local_object_manager_ = std::make_unique(objects_pending_deletion_); - dependency_manager_ = std::make_unique(*mock_object_manager_); + lease_dependency_manager_ = + std::make_unique(*mock_object_manager_); cluster_resource_scheduler_ = std::make_unique( io_service_, @@ -458,10 +459,10 @@ class NodeManagerTest : public ::testing::Test { static_cast(mock_object_manager_->GetMemoryCapacity()) * RayConfig::instance().max_task_args_memory_fraction()); - local_task_manager_ = std::make_unique( + local_lease_manager_ = std::make_unique( raylet_node_id_, *cluster_resource_scheduler_, - *dependency_manager_, + *lease_dependency_manager_, get_node_info_func, mock_worker_pool_, leased_workers_, @@ -471,12 +472,12 @@ class NodeManagerTest : public ::testing::Test { }, max_task_args_memory); - cluster_task_manager_ = std::make_unique( + cluster_lease_manager_ = std::make_unique( raylet_node_id_, *cluster_resource_scheduler_, get_node_info_func, - [](const ray::RayTask &task) {}, - *local_task_manager_); + [](const ray::RayLease &lease) {}, + *local_lease_manager_); node_manager_ = std::make_unique(io_service_, raylet_node_id_, @@ -488,12 +489,12 @@ class NodeManagerTest : public ::testing::Test { raylet_client_pool_, *core_worker_subscriber_, *cluster_resource_scheduler_, - *local_task_manager_, - *cluster_task_manager_, + *local_lease_manager_, + *cluster_lease_manager_, *mock_object_directory_, *mock_object_manager_, *local_object_manager_, - *dependency_manager_, + *lease_dependency_manager_, mock_worker_pool_, leased_workers_, *mock_store_client_, @@ -510,10 +511,10 @@ class NodeManagerTest : public ::testing::Test { NodeID raylet_node_id_; std::unique_ptr core_worker_subscriber_; std::unique_ptr cluster_resource_scheduler_; - std::unique_ptr local_task_manager_; - std::unique_ptr cluster_task_manager_; + std::unique_ptr local_lease_manager_; + std::unique_ptr cluster_lease_manager_; std::shared_ptr local_object_manager_; - std::unique_ptr dependency_manager_; + std::unique_ptr lease_dependency_manager_; std::unique_ptr mock_gcs_client_ = std::make_unique(); std::unique_ptr mock_object_directory_; @@ -574,7 +575,7 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { PopWorkerCallback pop_worker_callback; EXPECT_CALL(mock_worker_pool_, PopWorker(_, _)) .WillOnce( - [&](const TaskSpecification &task_spec, const PopWorkerCallback &callback) { + [&](const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) { pop_worker_callback = callback; }); @@ -600,15 +601,14 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedWorker) { owner_address.set_worker_id(owner_worker_id.Binary()); const auto actor_id = ActorID::Of(JobID::FromInt(1), TaskID::FromRandom(JobID::FromInt(1)), 0); - const auto task_spec_builder = - DetachedActorCreationTaskBuilder(owner_address, actor_id); + const auto lease_spec = DetachedActorCreationLeaseSpec(owner_address, actor_id); // Invoke RequestWorkerLease to request a leased worker for the task in the // NodeManager. std::promise promise; rpc::RequestWorkerLeaseReply reply; rpc::RequestWorkerLeaseRequest request; - request.mutable_resource_spec()->CopyFrom(task_spec_builder.GetMessage()); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); node_manager_->HandleRequestWorkerLease( request, &reply, @@ -653,7 +653,7 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { PopWorkerCallback pop_worker_callback; EXPECT_CALL(mock_worker_pool_, PopWorker(_, _)) .WillOnce( - [&](const TaskSpecification &task_spec, const PopWorkerCallback &callback) { + [&](const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) { pop_worker_callback = callback; }); @@ -678,15 +678,14 @@ TEST_F(NodeManagerTest, TestDetachedWorkerIsKilledByFailedNode) { owner_address.set_node_id(owner_node_id.Binary()); const auto actor_id = ActorID::Of(JobID::FromInt(1), TaskID::FromRandom(JobID::FromInt(1)), 0); - const auto task_spec_builder = - DetachedActorCreationTaskBuilder(owner_address, actor_id); + const auto lease_spec = DetachedActorCreationLeaseSpec(owner_address, actor_id); // Invoke RequestWorkerLease to request a leased worker for the task in the // NodeManager. std::promise promise; rpc::RequestWorkerLeaseReply reply; rpc::RequestWorkerLeaseRequest request; - request.mutable_resource_spec()->CopyFrom(task_spec_builder.GetMessage()); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); node_manager_->HandleRequestWorkerLease( request, &reply, diff --git a/src/ray/raylet/tests/util.h b/src/ray/raylet/tests/util.h index aee501c99870..7f1372bb5ef7 100644 --- a/src/ray/raylet/tests/util.h +++ b/src/ray/raylet/tests/util.h @@ -42,20 +42,22 @@ class MockWorker : public WorkerInterface { void SetOwnerAddress(const rpc::Address &address) override { address_ = address; } - void AssignTaskId(const TaskID &task_id) override { task_id_ = task_id; } - - void SetAssignedTask(const RayTask &assigned_task) override { - task_ = assigned_task; - task_assign_time_ = absl::Now(); - root_detached_actor_id_ = assigned_task.GetTaskSpecification().RootDetachedActorId(); - const auto &task_spec = assigned_task.GetTaskSpecification(); - SetJobId(task_spec.JobId()); - SetBundleId(task_spec.PlacementGroupBundleId()); - SetOwnerAddress(task_spec.CallerAddress()); - AssignTaskId(task_spec.TaskId()); + void GrantLease(const RayLease &granted_lease) override { + lease_ = granted_lease; + lease_grant_time_ = absl::Now(); + root_detached_actor_id_ = granted_lease.GetLeaseSpecification().RootDetachedActorId(); + const auto &lease_spec = granted_lease.GetLeaseSpecification(); + SetJobId(lease_spec.JobId()); + SetBundleId(lease_spec.PlacementGroupBundleId()); + SetOwnerAddress(lease_spec.CallerAddress()); + GrantLeaseId(lease_spec.LeaseId()); }; - absl::Time GetAssignedTaskTime() const override { return task_assign_time_; }; + void GrantLeaseId(const LeaseID &lease_id) override { lease_id_ = lease_id; } + + const RayLease &GetGrantedLease() const override { return lease_; } + + absl::Time GetGrantedLeaseTime() const override { return lease_grant_time_; }; std::optional GetIsGpu() const override { return is_gpu_; } @@ -116,7 +118,7 @@ class MockWorker : public WorkerInterface { return -1; } void SetAssignedPort(int port) override { RAY_CHECK(false) << "Method unused"; } - const TaskID &GetAssignedTaskId() const override { return task_id_; } + const LeaseID &GetGrantedLeaseId() const override { return lease_id_; } const JobID &GetAssignedJobId() const override { return job_id_; } int GetRuntimeEnvHash() const override { return runtime_env_hash_; } void AssignActorId(const ActorID &actor_id) override { @@ -126,13 +128,13 @@ class MockWorker : public WorkerInterface { RAY_CHECK(false) << "Method unused"; return ActorID::Nil(); } - const std::string GetTaskOrActorIdAsDebugString() const override { + const std::string GetLeaseIdAsDebugString() const override { RAY_CHECK(false) << "Method unused"; return ""; } bool IsDetachedActor() const override { - return task_.GetTaskSpecification().IsDetachedActor(); + return lease_.GetLeaseSpecification().IsDetachedActor(); } const std::shared_ptr Connection() const override { @@ -158,7 +160,7 @@ class MockWorker : public WorkerInterface { void SetBundleId(const BundleID &bundle_id) override { bundle_id_ = bundle_id; } - RayTask &GetAssignedTask() override { return task_; } + RayLease &GetGrantedLease() override { return lease_; } bool IsRegistered() override { RAY_CHECK(false) << "Method unused"; @@ -197,10 +199,10 @@ class MockWorker : public WorkerInterface { std::optional is_actor_worker_; BundleID bundle_id_; bool blocked_ = false; - RayTask task_; - absl::Time task_assign_time_; + RayLease lease_; + absl::Time lease_grant_time_; int runtime_env_hash_; - TaskID task_id_; + LeaseID lease_id_; JobID job_id_; ActorID root_detached_actor_id_; Process proc_; diff --git a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc index 965712213786..93b9b5f8f718 100644 --- a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc @@ -20,7 +20,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" #include "ray/raylet/worker_killing_policy.h" @@ -41,31 +41,31 @@ class WorkerKillingGroupByOwnerTest : public ::testing::Test { std::shared_ptr CreateActorCreationWorker(TaskID owner_id, int32_t max_restarts) { - rpc::TaskSpec message; - message.set_task_id(TaskID::FromRandom(job_id_).Binary()); + rpc::LeaseSpec message; + message.set_lease_id(LeaseID::FromRandom().Binary()); message.set_parent_task_id(owner_id.Binary()); - message.mutable_actor_creation_task_spec()->set_max_actor_restarts(max_restarts); message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + message.set_max_actor_restarts(max_restarts); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); - worker->AssignTaskId(task.GetTaskSpecification().TaskId()); + worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } std::shared_ptr CreateTaskWorker(TaskID owner_id, int32_t max_retries) { - rpc::TaskSpec message; - message.set_task_id(TaskID::FromRandom(job_id_).Binary()); + rpc::LeaseSpec message; + message.set_lease_id(LeaseID::FromRandom().Binary()); message.set_parent_task_id(owner_id.Binary()); - message.set_max_retries(max_retries); message.set_type(ray::rpc::TaskType::NORMAL_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + message.set_max_retries(max_retries); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); - worker->AssignTaskId(task.GetTaskSpecification().TaskId()); + worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } }; diff --git a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc index 27d07b7e5417..9026e26b836a 100644 --- a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc @@ -18,7 +18,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" #include "ray/raylet/worker_killing_policy.h" @@ -32,24 +32,24 @@ class WorkerKillerTest : public ::testing::Test { RetriableFIFOWorkerKillingPolicy worker_killing_policy_; std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { - rpc::TaskSpec message; - message.mutable_actor_creation_task_spec()->set_max_actor_restarts(max_restarts); + rpc::LeaseSpec message; + message.set_max_actor_restarts(max_restarts); message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); + worker->GrantLease(lease); return worker; } std::shared_ptr CreateTaskWorker(int32_t max_retries) { - rpc::TaskSpec message; + rpc::LeaseSpec message; message.set_max_retries(max_retries); message.set_type(ray::rpc::TaskType::NORMAL_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); + worker->GrantLease(lease); return worker; } }; @@ -68,9 +68,9 @@ TEST_F(WorkerKillerTest, auto first_submitted = WorkerKillerTest::CreateActorCreationWorker(0 /* max_restarts */); auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(5 /* max_restarts */); + WorkerKillerTest::CreateActorCreationWorker(1 /* max_restarts */); auto third_submitted = WorkerKillerTest::CreateTaskWorker(0 /* max_restarts */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(11 /* max_restarts */); + auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(1 /* max_restarts */); workers.push_back(first_submitted); workers.push_back(second_submitted); diff --git a/src/ray/raylet/tests/worker_killing_policy_test.cc b/src/ray/raylet/tests/worker_killing_policy_test.cc index 1026b616c09d..dca60ad6f58c 100644 --- a/src/ray/raylet/tests/worker_killing_policy_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_test.cc @@ -18,7 +18,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" namespace ray { @@ -31,36 +31,25 @@ class WorkerKillerTest : public ::testing::Test { int32_t port_ = 2389; RetriableLIFOWorkerKillingPolicy worker_killing_policy_; - std::shared_ptr CreateActorWorker(int32_t max_restarts) { - rpc::TaskSpec message; - message.mutable_actor_creation_task_spec()->set_max_actor_restarts(max_restarts); - message.set_type(ray::rpc::TaskType::ACTOR_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); - return worker; - } - std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { - rpc::TaskSpec message; - message.mutable_actor_creation_task_spec()->set_max_actor_restarts(max_restarts); + rpc::LeaseSpec message; + message.set_max_actor_restarts(max_restarts); message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); + worker->GrantLease(lease); return worker; } std::shared_ptr CreateTaskWorker(int32_t max_retries) { - rpc::TaskSpec message; + rpc::LeaseSpec message; message.set_max_retries(max_retries); message.set_type(ray::rpc::TaskType::NORMAL_TASK); - TaskSpecification task_spec(message); - RayTask task(task_spec); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->SetAssignedTask(task); + worker->GrantLease(lease); return worker; } }; @@ -76,14 +65,15 @@ TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { TEST_F(WorkerKillerTest, TestPreferRetriableOverNonRetriableAndOrderByTimestampDescending) { std::vector> workers; - auto first_submitted = WorkerKillerTest::CreateActorWorker(7 /* max_restarts */); + auto first_submitted = + WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(5 /* max_restarts */); - auto third_submitted = WorkerKillerTest::CreateTaskWorker(0 /* max_restarts */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(11 /* max_restarts */); + WorkerKillerTest::CreateActorCreationWorker(true /* max_restarts */); + auto third_submitted = WorkerKillerTest::CreateTaskWorker(false /* max_retries */); + auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); auto fifth_submitted = - WorkerKillerTest::CreateActorCreationWorker(0 /* max_restarts */); - auto sixth_submitted = WorkerKillerTest::CreateActorWorker(0 /* max_restarts */); + WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); + auto sixth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); workers.push_back(first_submitted); workers.push_back(second_submitted); @@ -93,9 +83,9 @@ TEST_F(WorkerKillerTest, workers.push_back(sixth_submitted); std::vector> expected_order; + expected_order.push_back(sixth_submitted); expected_order.push_back(fourth_submitted); expected_order.push_back(second_submitted); - expected_order.push_back(sixth_submitted); expected_order.push_back(fifth_submitted); expected_order.push_back(third_submitted); expected_order.push_back(first_submitted); diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index 490619ebfa4b..92e0e6556059 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -31,6 +31,7 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/constants.h" +#include "ray/common/lease/lease_spec.h" #include "ray/raylet/runtime_env_agent_client.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" @@ -364,14 +365,14 @@ class WorkerPoolMock : public WorkerPool { // \param[in] push_workers If true, tries to push the workers from the started // processes. std::shared_ptr PopWorkerSync( - const TaskSpecification &task_spec, + const LeaseSpecification &lease_spec, bool push_workers = true, PopWorkerStatus *worker_status = nullptr, int timeout_worker_number = 0, std::string *runtime_env_error_msg = nullptr) { std::shared_ptr popped_worker = nullptr; std::promise promise; - this->PopWorker(task_spec, + this->PopWorker(lease_spec, [&popped_worker, worker_status, &promise, runtime_env_error_msg]( const std::shared_ptr worker, PopWorkerStatus status, @@ -387,7 +388,7 @@ class WorkerPoolMock : public WorkerPool { return true; }); if (push_workers) { - PushWorkers(timeout_worker_number, task_spec.JobId()); + PushWorkers(timeout_worker_number, lease_spec.JobId()); } promise.get_future().get(); return popped_worker; @@ -457,7 +458,7 @@ class WorkerPoolTest : public ::testing::Test { const rpc::JobConfig &job_config = rpc::JobConfig()) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_id); - driver->AssignTaskId(TaskID::ForDriverTask(job_id)); + driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK(worker_pool_->RegisterDriver(driver, job_config, [](Status, int) {})); return driver; } @@ -529,29 +530,29 @@ static inline rpc::RuntimeEnvInfo ExampleRuntimeEnvInfoFromString( return runtime_env_info; } -static inline TaskSpecification ExampleTaskSpec( +static inline LeaseSpecification ExampleLeaseSpec( const ActorID actor_id = ActorID::Nil(), const Language &language = Language::PYTHON, const JobID &job_id = JOB_ID, const ActorID actor_creation_id = ActorID::Nil(), const std::vector &dynamic_worker_options = {}, - const TaskID &task_id = TaskID::FromRandom(JobID::Nil()), + const LeaseID &lease_id = LeaseID::FromRandom(), const rpc::RuntimeEnvInfo runtime_env_info = rpc::RuntimeEnvInfo(), std::unordered_map resources = {{"CPU", 1}}) { - rpc::TaskSpec message; + rpc::LeaseSpec message; message.set_job_id(job_id.Binary()); message.set_language(language); - // Make sure no reduplicative task id. - RAY_CHECK(!task_id.IsNil()); - message.set_task_id(task_id.Binary()); + // Make sure no reduplicative lease id. + RAY_CHECK(!lease_id.IsNil()); + message.set_lease_id(lease_id.Binary()); if (!actor_id.IsNil()) { message.set_type(TaskType::ACTOR_TASK); - message.mutable_actor_task_spec()->set_actor_id(actor_id.Binary()); + message.set_actor_id(actor_id.Binary()); } else if (!actor_creation_id.IsNil()) { message.set_type(TaskType::ACTOR_CREATION_TASK); - message.mutable_actor_creation_task_spec()->set_actor_id(actor_creation_id.Binary()); + message.set_actor_id(actor_creation_id.Binary()); for (const auto &option : dynamic_worker_options) { - message.mutable_actor_creation_task_spec()->add_dynamic_worker_options(option); + message.add_dynamic_worker_options(option); } } else { message.set_type(TaskType::NORMAL_TASK); @@ -559,7 +560,7 @@ static inline TaskSpecification ExampleTaskSpec( message.mutable_required_resources()->insert(resources.begin(), resources.end()); message.mutable_runtime_env_info()->CopyFrom(runtime_env_info); - return TaskSpecification(std::move(message)); + return LeaseSpecification(std::move(message)); } TEST_F(WorkerPoolDriverRegisteredTest, CompareWorkerProcessObjects) { @@ -650,42 +651,42 @@ TEST_F(WorkerPoolDriverRegisteredTest, InitialWorkerProcessCount) { } TEST_F(WorkerPoolDriverRegisteredTest, TestPrestartingWorkers) { - const auto task_spec = ExampleTaskSpec(); + const auto lease_spec = ExampleLeaseSpec(); // Prestarts 2 workers. - worker_pool_->PrestartWorkers(task_spec, 2); + worker_pool_->PrestartWorkers(lease_spec, 2); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 2); // Prestarts 1 more worker. - worker_pool_->PrestartWorkers(task_spec, 3); + worker_pool_->PrestartWorkers(lease_spec, 3); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 3); // No more needed. - worker_pool_->PrestartWorkers(task_spec, 1); + worker_pool_->PrestartWorkers(lease_spec, 1); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 3); // Capped by soft limit. - worker_pool_->PrestartWorkers(task_spec, 20); + worker_pool_->PrestartWorkers(lease_spec, 20); ASSERT_EQ(worker_pool_->NumWorkersStarting(), POOL_SIZE_SOFT_LIMIT); } TEST_F(WorkerPoolDriverRegisteredTest, TestPrestartingWorkersWithRuntimeEnv) { - auto task_spec = ExampleTaskSpec(); - task_spec.GetMutableMessage().mutable_runtime_env_info()->set_serialized_runtime_env( + auto lease_spec = ExampleLeaseSpec(); + lease_spec.GetMutableMessage().mutable_runtime_env_info()->set_serialized_runtime_env( "{\"env_vars\": {\"FOO\": \"bar\"}}"); // Prestarts 2 workers. - worker_pool_->PrestartWorkers(task_spec, 2); + worker_pool_->PrestartWorkers(lease_spec, 2); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 2); // Prestarts 1 more worker. - worker_pool_->PrestartWorkers(task_spec, 3); + worker_pool_->PrestartWorkers(lease_spec, 3); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 3); // No more needed. - worker_pool_->PrestartWorkers(task_spec, 1); + worker_pool_->PrestartWorkers(lease_spec, 1); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 3); // Capped by soft limit. - worker_pool_->PrestartWorkers(task_spec, 20); + worker_pool_->PrestartWorkers(lease_spec, 20); ASSERT_EQ(worker_pool_->NumWorkersStarting(), POOL_SIZE_SOFT_LIMIT); } TEST_F(WorkerPoolDriverRegisteredTest, HandleWorkerPushPop) { std::shared_ptr popped_worker; - const auto task_spec = ExampleTaskSpec(); + const auto lease_spec = ExampleLeaseSpec(); // Create some workers. std::unordered_set> workers; workers.insert(worker_pool_->CreateWorker(Process::CreateNewDummy())); @@ -695,15 +696,15 @@ TEST_F(WorkerPoolDriverRegisteredTest, HandleWorkerPushPop) { worker_pool_->PushWorker(worker); } // Pop two workers and make sure they're one of the workers we created. - popped_worker = worker_pool_->PopWorkerSync(task_spec); + popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); ASSERT_GT(workers.count(popped_worker), 0); - popped_worker = worker_pool_->PopWorkerSync(task_spec); + popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); ASSERT_GT(workers.count(popped_worker), 0); // Pop a worker from the empty pool and make sure it isn't one of the workers we // created. - popped_worker = worker_pool_->PopWorkerSync(task_spec); + popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(workers.count(popped_worker), 0); } @@ -713,26 +714,26 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerSyncsOfMultipleLanguages) { auto py_worker = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON); worker_pool_->PushWorker(py_worker); - // Check that the Python worker will not be popped if the given task is a Java task - const auto java_task_spec = ExampleTaskSpec(ActorID::Nil(), Language::JAVA); - ASSERT_NE(worker_pool_->PopWorkerSync(java_task_spec), py_worker); - // Check that the Python worker can be popped if the given task is a Python task - const auto py_task_spec = ExampleTaskSpec(ActorID::Nil(), Language::PYTHON); - ASSERT_EQ(worker_pool_->PopWorkerSync(py_task_spec), py_worker); + // Check that the Python worker will not be popped if the given lease is a Java lease + const auto java_lease_spec = ExampleLeaseSpec(ActorID::Nil(), Language::JAVA); + ASSERT_NE(worker_pool_->PopWorkerSync(java_lease_spec), py_worker); + // Check that the Python worker can be popped if the given lease is a Python lease + const auto py_lease_spec = ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON); + ASSERT_EQ(worker_pool_->PopWorkerSync(py_lease_spec), py_worker); // Create a Java Worker, and add it to the pool auto java_worker = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::JAVA); worker_pool_->PushWorker(java_worker); - // Check that the Java worker will be popped now for Java task - ASSERT_EQ(worker_pool_->PopWorkerSync(java_task_spec), java_worker); + // Check that the Java worker will be popped now for Java lease + ASSERT_EQ(worker_pool_->PopWorkerSync(java_lease_spec), java_worker); } TEST_F(WorkerPoolDriverRegisteredTest, StartWorkerWithNodeIdArg) { - auto task_id = TaskID::FromRandom(JOB_ID); - TaskSpecification task_spec = ExampleTaskSpec( - ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}, task_id); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec), nullptr); + auto lease_id = LeaseID::FromRandom(); + LeaseSpecification lease_spec = ExampleLeaseSpec( + ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}, lease_id); + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec), nullptr); const auto real_command = worker_pool_->GetWorkerCommand(worker_pool_->LastStartedWorkerProcess()); @@ -756,10 +757,13 @@ TEST_F(WorkerPoolDriverRegisteredTest, StartWorkerWithDynamicOptionsCommand) { actor_jvm_options.end(), {"-Dmy-actor.hello=foo", "-Dmy-actor.world=bar", "-Xmx2g", "-Xms1g"}); JobID job_id = JobID::FromInt(12345); - auto task_id = TaskID::ForDriverTask(job_id); - auto actor_id = ActorID::Of(job_id, task_id, 1); - TaskSpecification task_spec = ExampleTaskSpec( - ActorID::Nil(), Language::JAVA, job_id, actor_id, actor_jvm_options, task_id); + auto actor_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); + LeaseSpecification lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::JAVA, + job_id, + actor_id, + actor_jvm_options, + LeaseID::FromRandom()); rpc::JobConfig job_config = rpc::JobConfig(); job_config.add_code_search_path("/test/code_search_path"); @@ -769,7 +773,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, StartWorkerWithDynamicOptionsCommand) { job_config.add_jvm_options("-Dmy-job.foo=bar"); worker_pool_->HandleJobStarted(job_id, job_config); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec), nullptr); + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec), nullptr); const auto real_command = worker_pool_->GetWorkerCommand(worker_pool_->LastStartedWorkerProcess()); @@ -840,7 +844,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestWorkerStartupKeepAliveDuration) { ASSERT_EQ(worker_pool_->GetProcessSize(), POOL_SIZE_SOFT_LIMIT + 2); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); - // The worker registered. There's no pending tasks so it becomes idle. + // The worker registered. There's no pending leases so it becomes idle. worker_pool_->PushWorkers(0, JOB_ID); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 0); ASSERT_EQ(worker_pool_->GetProcessSize(), POOL_SIZE_SOFT_LIMIT + 2); @@ -881,9 +885,9 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerMultiTenancy) { // Make the first worker an actor worker. if (i == 0) { auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - auto task_spec = ExampleTaskSpec( + auto lease_spec = ExampleLeaseSpec( /*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id, actor_creation_id); - runtime_env_hash = task_spec.GetRuntimeEnvHash(); + runtime_env_hash = lease_spec.GetRuntimeEnvHash(); } auto worker = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, @@ -900,19 +904,19 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerMultiTenancy) { // Pop workers for actor. for (auto job_id : job_ids) { auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - // Pop workers for actor creation tasks. - auto task_spec = ExampleTaskSpec( + // Pop workers for actor creation leases. + auto lease_spec = ExampleLeaseSpec( /*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id, actor_creation_id); - auto worker = worker_pool_->PopWorkerSync(task_spec); + auto worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_TRUE(worker); ASSERT_EQ(worker->GetAssignedJobId(), job_id); workers.push_back(worker); } - // Pop workers for normal tasks. + // Pop workers for normal leases. for (auto job_id : job_ids) { - auto task_spec = ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_id); - auto worker = worker_pool_->PopWorkerSync(task_spec); + auto lease_spec = ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_id); + auto worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_TRUE(worker); ASSERT_EQ(worker->GetAssignedJobId(), job_id); workers.push_back(worker); @@ -932,8 +936,8 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerMultiTenancy) { } } -// Tests the worker assignment logic for task specs that have a root detached actor ID. -// These tasks: +// Tests the worker assignment logic for lease specs that have a root detached actor ID. +// These leases: // - Must be matched to workers that have a matching job ID (or no job ID). // - Must be matched to workers that have a matching detached actor ID (or no detached // actor ID). @@ -943,10 +947,11 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) // NOTE: in all test cases the request has job_1_detached_actor_1 as its root detached // actor. - auto detached_actor_id_1_job_1 = ActorID::Of(job_1_id, TaskID::FromRandom(job_1_id), 0); - auto task_spec_job_1_detached_actor_1 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_1_id); - task_spec_job_1_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( + auto detached_actor_id_1_job_1 = + ActorID::Of(job_1_id, TaskID::ForDriverTask(job_1_id), 0); + auto lease_spec_job_1_detached_actor_1 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_1_id); + lease_spec_job_1_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( detached_actor_id_1_job_1.Binary()); // Case 1 (match): @@ -955,7 +960,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) Process::CreateNewDummy(), Language::PYTHON, JobID::Nil()); worker_pool_->PushWorker(worker_no_job_no_detached_actor); - ASSERT_EQ(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_EQ(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_no_job_no_detached_actor); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); @@ -965,7 +970,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_1_id); worker_pool_->PushWorker(worker_job_1_no_detached_actor); - ASSERT_EQ(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_EQ(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_1_no_detached_actor); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); @@ -973,12 +978,12 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) // worker has matching root detached actor ID and job ID auto worker_job_1_detached_actor_1 = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_1_id); - RayTask job_1_detached_actor_1_task(task_spec_job_1_detached_actor_1); - worker_job_1_detached_actor_1->SetAssignedTask(job_1_detached_actor_1_task); - worker_job_1_detached_actor_1->AssignTaskId(TaskID::Nil()); + RayLease job_1_detached_actor_1_lease(lease_spec_job_1_detached_actor_1); + worker_job_1_detached_actor_1->GrantLease(job_1_detached_actor_1_lease); + worker_job_1_detached_actor_1->GrantLeaseId(LeaseID::Nil()); worker_pool_->PushWorker(worker_job_1_detached_actor_1); - ASSERT_EQ(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_EQ(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_1_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); @@ -988,7 +993,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_2_id); worker_pool_->PushWorker(worker_job_2_no_detached_actor); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_2_no_detached_actor); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); worker_job_2_no_detached_actor->MarkDead(); @@ -999,17 +1004,18 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) // worker has mismatched detached actor ID and mismatched job ID auto worker_job_2_detached_actor_3 = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_2_id); - auto detached_actor_3_id_job_2 = ActorID::Of(job_2_id, TaskID::FromRandom(job_2_id), 0); - auto task_spec_job_2_detached_actor_3 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_2_id); - task_spec_job_2_detached_actor_3.GetMutableMessage().set_root_detached_actor_id( + auto detached_actor_3_id_job_2 = + ActorID::Of(job_2_id, TaskID::ForDriverTask(job_2_id), 0); + auto lease_spec_job_2_detached_actor_3 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_2_id); + lease_spec_job_2_detached_actor_3.GetMutableMessage().set_root_detached_actor_id( detached_actor_3_id_job_2.Binary()); - RayTask job_2_detached_actor_3_task(task_spec_job_2_detached_actor_3); - worker_job_2_detached_actor_3->SetAssignedTask(job_2_detached_actor_3_task); - worker_job_2_detached_actor_3->AssignTaskId(TaskID::Nil()); + RayLease job_2_detached_actor_3_lease(lease_spec_job_2_detached_actor_3); + worker_job_2_detached_actor_3->GrantLease(job_2_detached_actor_3_lease); + worker_job_2_detached_actor_3->GrantLeaseId(LeaseID::Nil()); worker_pool_->PushWorker(worker_job_2_detached_actor_3); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_2_detached_actor_3); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); worker_job_2_detached_actor_3->MarkDead(); @@ -1020,17 +1026,18 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) // worker has mismatched detached actor ID and matching job ID auto worker_job_1_detached_actor_2 = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_1_id); - auto detached_actor_id_2_job_1 = ActorID::Of(job_1_id, TaskID::FromRandom(job_1_id), 1); - auto task_spec_job_1_detached_actor_2 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_1_id); - task_spec_job_1_detached_actor_2.GetMutableMessage().set_root_detached_actor_id( + auto detached_actor_id_2_job_1 = + ActorID::Of(job_1_id, TaskID::ForDriverTask(job_1_id), 1); + auto lease_spec_job_1_detached_actor_2 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_1_id); + lease_spec_job_1_detached_actor_2.GetMutableMessage().set_root_detached_actor_id( detached_actor_id_2_job_1.Binary()); - RayTask job_1_detached_actor_2_task(task_spec_job_1_detached_actor_2); - worker_job_1_detached_actor_2->SetAssignedTask(job_1_detached_actor_2_task); - worker_job_1_detached_actor_2->AssignTaskId(TaskID::Nil()); + RayLease job_1_detached_actor_2_lease(lease_spec_job_1_detached_actor_2); + worker_job_1_detached_actor_2->GrantLease(job_1_detached_actor_2_lease); + worker_job_1_detached_actor_2->GrantLeaseId(LeaseID::Nil()); worker_pool_->PushWorker(worker_job_1_detached_actor_2); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_1_detached_actor_2); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); worker_job_1_detached_actor_2->MarkDead(); @@ -1045,16 +1052,16 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) // Test the worker pool logic regardless for completeness. auto worker_job_2_detached_actor_1 = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_2_id); - auto task_spec_job_2_detached_actor_1 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_2_id); - task_spec_job_2_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( + auto lease_spec_job_2_detached_actor_1 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_2_id); + lease_spec_job_2_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( detached_actor_id_1_job_1.Binary()); - RayTask job_2_detached_actor_1_task(task_spec_job_2_detached_actor_1); - worker_job_2_detached_actor_1->SetAssignedTask(job_2_detached_actor_1_task); - worker_job_2_detached_actor_1->AssignTaskId(TaskID::Nil()); + RayLease job_2_detached_actor_1_lease(lease_spec_job_2_detached_actor_1); + worker_job_2_detached_actor_1->GrantLease(job_2_detached_actor_1_lease); + worker_job_2_detached_actor_1->GrantLeaseId(LeaseID::Nil()); worker_pool_->PushWorker(worker_job_2_detached_actor_1); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_2_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); worker_job_2_detached_actor_1->MarkDead(); @@ -1063,7 +1070,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerForRequestWithRootDetachedActor) } // Tests the worker assignment logic for workers that have a root detached actor ID -// but tasks that *don't* have one. +// but leases that *don't* have one. // // Workers with a root detached actor ID can be used so long as their job ID matches // or hasn't been assigned yet. @@ -1074,63 +1081,65 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerWithRootDetachedActorID) { // NOTE: in all test cases the only worker in the pool is worker_job_1_detached_actor_1. auto worker_job_1_detached_actor_1 = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_1_id); - auto task_spec_job_1_detached_actor_1 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_1_id); - auto detached_actor_id_1_job_1 = ActorID::Of(job_1_id, TaskID::FromRandom(job_1_id), 0); - task_spec_job_1_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( + auto lease_spec_job_1_detached_actor_1 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_1_id); + auto detached_actor_id_1_job_1 = + ActorID::Of(job_1_id, TaskID::ForDriverTask(job_1_id), 0); + lease_spec_job_1_detached_actor_1.GetMutableMessage().set_root_detached_actor_id( detached_actor_id_1_job_1.Binary()); - RayTask job_1_detached_actor_1_task(task_spec_job_1_detached_actor_1); - worker_job_1_detached_actor_1->SetAssignedTask(job_1_detached_actor_1_task); - worker_job_1_detached_actor_1->AssignTaskId(TaskID::Nil()); + RayLease job_1_detached_actor_1_lease(lease_spec_job_1_detached_actor_1); + worker_job_1_detached_actor_1->GrantLease(job_1_detached_actor_1_lease); + worker_job_1_detached_actor_1->GrantLeaseId(LeaseID::Nil()); // Case 1 (match): // request has no root detached actor ID and matching job ID - auto task_spec_job_1_no_detached_actor = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_1_id); + auto lease_spec_job_1_no_detached_actor = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_1_id); worker_pool_->PushWorker(worker_job_1_detached_actor_1); - ASSERT_EQ(worker_pool_->PopWorkerSync(task_spec_job_1_no_detached_actor), + ASSERT_EQ(worker_pool_->PopWorkerSync(lease_spec_job_1_no_detached_actor), worker_job_1_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); // Case 2 (match): // request has matching root detached actor ID and matching job ID worker_pool_->PushWorker(worker_job_1_detached_actor_1); - ASSERT_EQ(worker_pool_->PopWorkerSync(task_spec_job_1_detached_actor_1), + ASSERT_EQ(worker_pool_->PopWorkerSync(lease_spec_job_1_detached_actor_1), worker_job_1_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); // Case 3 (mismatch): // request has no root detached actor ID and mismatched job ID - auto task_spec_job_2_no_detached_actor = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_2_id); + auto lease_spec_job_2_no_detached_actor = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_2_id); worker_pool_->PushWorker(worker_job_1_detached_actor_1); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_2_no_detached_actor), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_2_no_detached_actor), worker_job_1_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); // Case 4 (mismatch): // request has mismatched root detached actor ID and mismatched job ID - auto task_spec_job_2_detached_actor_2 = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_2_id); - auto job_2_detached_actor_2_id = ActorID::Of(job_2_id, TaskID::FromRandom(job_2_id), 0); - task_spec_job_2_detached_actor_2.GetMutableMessage().set_root_detached_actor_id( + auto lease_spec_job_2_detached_actor_2 = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_2_id); + auto job_2_detached_actor_2_id = + ActorID::Of(job_2_id, TaskID::ForDriverTask(job_2_id), 0); + lease_spec_job_2_detached_actor_2.GetMutableMessage().set_root_detached_actor_id( job_2_detached_actor_2_id.Binary()); - ASSERT_NE(worker_pool_->PopWorkerSync(task_spec_job_2_detached_actor_2), + ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec_job_2_detached_actor_2), worker_job_1_detached_actor_1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); } TEST_F(WorkerPoolDriverRegisteredTest, MaximumStartupConcurrency) { - auto task_spec = ExampleTaskSpec(); + auto lease_spec = ExampleLeaseSpec(); std::vector started_processes; // Try to pop some workers. Some worker processes will be started. for (int i = 0; i < MAXIMUM_STARTUP_CONCURRENCY; i++) { worker_pool_->PopWorker( - task_spec, + lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { return true; }); @@ -1144,7 +1153,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, MaximumStartupConcurrency) { // Can't start a new worker process at this point. worker_pool_->PopWorker( - task_spec, + lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { return true; }); @@ -1172,7 +1181,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, MaximumStartupConcurrency) { // Can't start a new worker process at this point. ASSERT_EQ(MAXIMUM_STARTUP_CONCURRENCY, worker_pool_->NumWorkersStarting()); worker_pool_->PopWorker( - task_spec, + lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { return true; }); @@ -1192,7 +1201,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, MaximumStartupConcurrency) { // Can't start a new worker process at this point. worker_pool_->PopWorker( - task_spec, + lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { return true; }); @@ -1249,7 +1258,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, HandleIOWorkersPushPop) { spill_workers.insert(CreateSpillWorker(Process())); spill_workers.insert(CreateSpillWorker(Process())); // Add the workers to the pool. - // 2 pending tasks / 2 new idle workers. + // 2 pending leases / 2 new idle workers. for (const auto &worker : spill_workers) { auto status = PopWorkerStatus::OK; auto [proc, token] = worker_pool_->StartWorkerProcess( @@ -1277,7 +1286,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, HandleIOWorkersPushPop) { worker_pool_->OnWorkerStarted(worker); } // Now push back to used workers - // 0 pending task, 3 idle workers. + // 0 pending lease, 3 idle workers. for (const auto &worker : spill_workers) { worker_pool_->PushSpillWorker(worker); } @@ -1498,20 +1507,20 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestWorkerCapping) { /// std::vector> popped_workers; for (int i = 0; i < num_workers; i++) { - // Pop workers for actor creation tasks. - auto task_spec = - ExampleTaskSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); - auto worker = worker_pool_->PopWorkerSync(task_spec, false); - // Simulate running the task and finish. This is to set task_assign_time_. - RayTask task(task_spec); - worker->SetAssignedTask(task); - worker->AssignTaskId(TaskID::Nil()); + // Pop workers for actor creation leases. + auto lease_spec = + ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + auto worker = worker_pool_->PopWorkerSync(lease_spec, false); + // Simulate granting the lease and finish. This is to set lease_grant_time_. + RayLease lease(lease_spec); + worker->GrantLease(lease); + worker->GrantLeaseId(LeaseID::Nil()); popped_workers.push_back(worker); ASSERT_TRUE(worker); ASSERT_EQ(worker->GetAssignedJobId(), job_id); } - // After scheduling an actor and task, there's no more idle worker. + // After granting a lease to each worker, there should be no idle workers. ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); /// @@ -1720,10 +1729,11 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForPopWorker) { // Finish the job. worker_pool_->HandleJobFinished(job_id); - auto task_spec = ExampleTaskSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + auto lease_spec = + ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); PopWorkerStatus pop_worker_status; // This PopWorker should fail since the job finished. - worker = worker_pool_->PopWorkerSync(task_spec, false, &pop_worker_status); + worker = worker_pool_->PopWorkerSync(lease_spec, false, &pop_worker_status); ASSERT_EQ(pop_worker_status, PopWorkerStatus::JobFinished); ASSERT_FALSE(worker); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); @@ -1736,12 +1746,12 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForPopWorker) { job_id = JOB_ID_2; rpc::JobConfig job_config; RegisterDriver(Language::PYTHON, job_id, job_config); - task_spec = ExampleTaskSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + lease_spec = ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); pop_worker_status = PopWorkerStatus::OK; // This will start a new worker. std::promise promise; worker_pool_->PopWorker( - task_spec, + lease_spec, [&](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { @@ -1796,9 +1806,10 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForceKillIdleWorker) { worker_pool_->PushWorker(worker); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); - /// Execute some task with the worker. - auto task_spec = ExampleTaskSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); - worker = worker_pool_->PopWorkerSync(task_spec, false); + /// Grant some lease with the worker. + auto lease_spec = + ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + worker = worker_pool_->PopWorkerSync(lease_spec, false); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); /// Return the worker. @@ -1889,41 +1900,41 @@ TEST_F(WorkerPoolDriverRegisteredTest, TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerWithRuntimeEnv) { ASSERT_EQ(worker_pool_->GetProcessSize(), 0); auto actor_creation_id = ActorID::Of(JOB_ID, TaskID::ForDriverTask(JOB_ID), 1); - const auto actor_creation_task_spec = ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - JOB_ID, - actor_creation_id, - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfo({"XXX"})); - const auto normal_task_spec = ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - JOB_ID, - ActorID::Nil(), - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfo({"XXX"})); - const auto normal_task_spec_without_runtime_env = - ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}); - // Pop worker for actor creation task again. - auto popped_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec); + const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + JOB_ID, + actor_creation_id, + {"XXX=YYY"}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfo({"XXX"})); + const auto normal_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + JOB_ID, + ActorID::Nil(), + {"XXX=YYY"}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfo({"XXX"})); + const auto normal_lease_spec_without_runtime_env = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}); + // Pop worker for actor creation lease again. + auto popped_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); // Got a worker with correct runtime env hash. ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(popped_worker->GetRuntimeEnvHash(), - actor_creation_task_spec.GetRuntimeEnvHash()); + actor_creation_lease_spec.GetRuntimeEnvHash()); ASSERT_EQ(worker_pool_->GetProcessSize(), 1); - // Pop worker for normal task. - popped_worker = worker_pool_->PopWorkerSync(normal_task_spec); + // Pop worker for normal lease. + popped_worker = worker_pool_->PopWorkerSync(normal_lease_spec); // Got a worker with correct runtime env hash. ASSERT_NE(popped_worker, nullptr); - ASSERT_EQ(popped_worker->GetRuntimeEnvHash(), normal_task_spec.GetRuntimeEnvHash()); + ASSERT_EQ(popped_worker->GetRuntimeEnvHash(), normal_lease_spec.GetRuntimeEnvHash()); ASSERT_EQ(worker_pool_->GetProcessSize(), 2); - // Pop worker for normal task without runtime env. - popped_worker = worker_pool_->PopWorkerSync(normal_task_spec_without_runtime_env); + // Pop worker for normal lease without runtime env. + popped_worker = worker_pool_->PopWorkerSync(normal_lease_spec_without_runtime_env); // Got a worker with correct runtime env hash. ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(popped_worker->GetRuntimeEnvHash(), - normal_task_spec_without_runtime_env.GetRuntimeEnvHash()); + normal_lease_spec_without_runtime_env.GetRuntimeEnvHash()); ASSERT_EQ(worker_pool_->GetProcessSize(), 3); } @@ -1972,25 +1983,24 @@ TEST_F(WorkerPoolDriverRegisteredTest, RuntimeEnvUriReferenceWorkerLevel) { ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 1); // Start actor with runtime env. auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - const auto actor_creation_task_spec = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - job_id, - actor_creation_id, - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - runtime_env_info); - auto popped_actor_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec); + const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + job_id, + actor_creation_id, + {"XXX=YYY"}, + LeaseID::FromRandom(), + runtime_env_info); + auto popped_actor_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 2); - // Start task with runtime env. - const auto normal_task_spec = ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - job_id, - ActorID::Nil(), - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - runtime_env_info); - auto popped_normal_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec); + // Start lease with runtime env. + const auto normal_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + job_id, + ActorID::Nil(), + {"XXX=YYY"}, + LeaseID::FromRandom(), + runtime_env_info); + auto popped_normal_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 3); // Disconnect actor worker. worker_pool_->DisconnectWorker(popped_actor_worker, @@ -2019,18 +2029,17 @@ TEST_F(WorkerPoolDriverRegisteredTest, RuntimeEnvUriReferenceWorkerLevel) { ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 0); // Start actor with runtime env. auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 2); - const auto actor_creation_task_spec = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - job_id, - actor_creation_id, - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - runtime_env_info); - auto popped_actor_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec); + const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + job_id, + actor_creation_id, + {"XXX=YYY"}, + LeaseID::FromRandom(), + runtime_env_info); + auto popped_actor_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 1); - // Start task with runtime env. - auto popped_normal_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec); + // Start lease with runtime env. + auto popped_normal_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 2); // Disconnect actor worker. worker_pool_->DisconnectWorker(popped_actor_worker, @@ -2050,36 +2059,36 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { /// /// Check that a worker can be popped only if there is a /// worker available whose runtime env matches the runtime env - /// in the task spec. + /// in the lease spec. /// ASSERT_EQ(worker_pool_->GetProcessSize(), 0); auto actor_creation_id = ActorID::Of(JOB_ID, TaskID::ForDriverTask(JOB_ID), 1); - const auto actor_creation_task_spec_1 = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - JOB_ID, - actor_creation_id, - /*dynamic_worker_options=*/{}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); - const auto task_spec_1 = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - JOB_ID, - ActorID::Nil(), - /*dynamic_worker_options=*/{}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); - const auto task_spec_2 = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - JOB_ID, - ActorID::Nil(), - /*dynamic_worker_options=*/{}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfoFromString("mock_runtime_env_2")); - - const int runtime_env_hash_1 = actor_creation_task_spec_1.GetRuntimeEnvHash(); + const auto actor_creation_lease_spec_1 = + ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + JOB_ID, + actor_creation_id, + /*dynamic_worker_options=*/{}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); + const auto lease_spec_1 = + ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + JOB_ID, + ActorID::Nil(), + /*dynamic_worker_options=*/{}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); + const auto lease_spec_2 = + ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + JOB_ID, + ActorID::Nil(), + /*dynamic_worker_options=*/{}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfoFromString("mock_runtime_env_2")); + + const int runtime_env_hash_1 = actor_creation_lease_spec_1.GetRuntimeEnvHash(); // Push worker with runtime env 1. auto worker = worker_pool_->CreateWorker(Process::CreateNewDummy(), @@ -2089,14 +2098,14 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { runtime_env_hash_1); worker_pool_->PushWorker(worker); - // Try to pop worker for task with runtime env 2. - auto popped_worker = worker_pool_->PopWorkerSync(task_spec_2); + // Try to pop worker for lease with runtime env 2. + auto popped_worker = worker_pool_->PopWorkerSync(lease_spec_2); // Check that popped worker isn't the one we pushed. ASSERT_NE(popped_worker, nullptr); ASSERT_NE(popped_worker, worker); - // Try to pop the worker for task with runtime env 1. - popped_worker = worker_pool_->PopWorkerSync(task_spec_1); + // Try to pop the worker for lease with runtime env 1. + popped_worker = worker_pool_->PopWorkerSync(lease_spec_1); ASSERT_EQ(popped_worker, worker); // Push another worker with runtime env 1. @@ -2108,7 +2117,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { worker_pool_->PushWorker(worker); // Try to pop the worker for an actor with runtime env 1. - popped_worker = worker_pool_->PopWorkerSync(actor_creation_task_spec_1); + popped_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec_1); // Check that we got the pushed worker. ASSERT_EQ(popped_worker, worker); worker_pool_->ClearProcesses(); @@ -2116,10 +2125,10 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { TEST_F(WorkerPoolDriverRegisteredTest, WorkerNoLeaks) { std::shared_ptr popped_worker; - const auto task_spec = ExampleTaskSpec(); + const auto lease_spec = ExampleLeaseSpec(); // Pop a worker and don't dispatch. - worker_pool_->PopWorker(task_spec, + worker_pool_->PopWorker(lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { @@ -2131,11 +2140,11 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerNoLeaks) { // No idle workers because no workers pushed. ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); // push workers. - worker_pool_->PushWorkers(0, task_spec.JobId()); + worker_pool_->PushWorkers(0, lease_spec.JobId()); // The worker has been pushed but not dispatched. ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); // Pop a worker and don't dispatch. - worker_pool_->PopWorker(task_spec, + worker_pool_->PopWorker(lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { @@ -2146,7 +2155,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerNoLeaks) { ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); ASSERT_EQ(worker_pool_->GetProcessSize(), 1); // Pop a worker and dispatch. - worker_pool_->PopWorker(task_spec, + worker_pool_->PopWorker(lease_spec, [](const std::shared_ptr worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { @@ -2164,56 +2173,56 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerStatus) { PopWorkerStatus status; /* Test PopWorkerStatus JobConfigMissing */ - // Create a task by unregistered job id. + // Create a lease by unregistered job id. auto job_id = JobID::FromInt(123); - auto task_spec = ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, job_id); - popped_worker = worker_pool_->PopWorkerSync(task_spec, true, &status); + auto lease_spec = ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_id); + popped_worker = worker_pool_->PopWorkerSync(lease_spec, true, &status); // PopWorker failed and the status is `JobConfigMissing`. ASSERT_EQ(popped_worker, nullptr); ASSERT_EQ(status, PopWorkerStatus::JobConfigMissing); // Register driver fot the job. RegisterDriver(Language::PYTHON, job_id); - popped_worker = worker_pool_->PopWorkerSync(task_spec, true, &status); + popped_worker = worker_pool_->PopWorkerSync(lease_spec, true, &status); // PopWorker success. ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(status, PopWorkerStatus::OK); /* Test PopWorkerStatus RuntimeEnvCreationFailed */ - // Create a task with bad runtime env. - const auto task_spec_with_bad_runtime_env = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - job_id, - ActorID::Nil(), - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfoFromString(std::string(kBadRuntimeEnv))); + // Create a lease with bad runtime env. + const auto lease_spec_with_bad_runtime_env = + ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + job_id, + ActorID::Nil(), + {"XXX=YYY"}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfoFromString(std::string(kBadRuntimeEnv))); std::string error_msg; popped_worker = worker_pool_->PopWorkerSync( - task_spec_with_bad_runtime_env, true, &status, 0, &error_msg); + lease_spec_with_bad_runtime_env, true, &status, 0, &error_msg); // PopWorker failed and the status is `RuntimeEnvCreationFailed`. ASSERT_EQ(popped_worker, nullptr); ASSERT_EQ(status, PopWorkerStatus::RuntimeEnvCreationFailed); ASSERT_EQ(error_msg, kBadRuntimeEnvErrorMsg); - // Create a task with available runtime env. - const auto task_spec_with_runtime_env = - ExampleTaskSpec(ActorID::Nil(), - Language::PYTHON, - job_id, - ActorID::Nil(), - {"XXX=YYY"}, - TaskID::FromRandom(JobID::Nil()), - ExampleRuntimeEnvInfo({"XXX"})); - popped_worker = worker_pool_->PopWorkerSync(task_spec_with_runtime_env, true, &status); + // Create a lease with available runtime env. + const auto lease_spec_with_runtime_env = + ExampleLeaseSpec(ActorID::Nil(), + Language::PYTHON, + job_id, + ActorID::Nil(), + {"XXX=YYY"}, + LeaseID::FromRandom(), + ExampleRuntimeEnvInfo({"XXX"})); + popped_worker = worker_pool_->PopWorkerSync(lease_spec_with_runtime_env, true, &status); // PopWorker success. ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(status, PopWorkerStatus::OK); /* Test PopWorkerStatus WorkerPendingRegistration */ - // Create a task without push worker. - popped_worker = worker_pool_->PopWorkerSync(task_spec, false, &status); + // Create a lease without push worker. + popped_worker = worker_pool_->PopWorkerSync(lease_spec, false, &status); ASSERT_EQ(popped_worker, nullptr); // PopWorker failed while the timer was triggered and the status is // `WorkerPendingRegistration`. @@ -2224,9 +2233,9 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerStatus) { TEST_F(WorkerPoolDriverRegisteredTest, WorkerPendingRegistrationErasesRequest) { std::shared_ptr popped_worker; PopWorkerStatus status; - auto task_spec = ExampleTaskSpec(); - // Create a task without push worker. It should time out (WorkerPendingRegistration). - popped_worker = worker_pool_->PopWorkerSync(task_spec, false, &status); + auto lease_spec = ExampleLeaseSpec(); + // Create a lease without push worker. It should time out (WorkerPendingRegistration). + popped_worker = worker_pool_->PopWorkerSync(lease_spec, false, &status); ASSERT_EQ(popped_worker, nullptr); ASSERT_EQ(status, PopWorkerStatus::WorkerPendingRegistration); // The request should be erased. @@ -2346,14 +2355,14 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestIOWorkerFailureAndSpawn) { } TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseForPrestartedWorker) { - const auto task_spec = ExampleTaskSpec(); - worker_pool_->PrestartWorkersInternal(task_spec, /*num_needed=*/1); - worker_pool_->PushWorkers(0, task_spec.JobId()); + const auto lease_spec = ExampleLeaseSpec(); + worker_pool_->PrestartWorkersInternal(lease_spec, /*num_needed=*/1); + worker_pool_->PushWorkers(0, lease_spec.JobId()); // One worker process has been prestarted. ASSERT_EQ(worker_pool_->GetProcessSize(), 1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 1); // Pop a worker and don't dispatch. - auto popped_worker = worker_pool_->PopWorkerSync(task_spec); + auto popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); // no new worker started since we can reuse the cached worker. ASSERT_EQ(worker_pool_->GetProcessSize(), 1); @@ -2362,17 +2371,17 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseForPrestartedWorker) { } TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseForSameJobId) { - const auto task_spec = ExampleTaskSpec(); + const auto lease_spec = ExampleLeaseSpec(); // start one worker - auto popped_worker = worker_pool_->PopWorkerSync(task_spec); + auto popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(worker_pool_->GetProcessSize(), 1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); worker_pool_->PushWorker(popped_worker); // start a new worker withe same job_id resuse the same worker. - auto popped_worker1 = worker_pool_->PopWorkerSync(task_spec); + auto popped_worker1 = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker1, nullptr); ASSERT_EQ(popped_worker1, popped_worker); ASSERT_EQ(worker_pool_->GetProcessSize(), 1); @@ -2380,11 +2389,11 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseForSameJobId) { } TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseFailureForDifferentJobId) { - const auto task_spec = ExampleTaskSpec(); - const auto task_spec1 = ExampleTaskSpec(ActorID::Nil(), Language::PYTHON, JOB_ID_2); + const auto lease_spec = ExampleLeaseSpec(); + const auto lease_spec1 = ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID_2); // start one worker - auto popped_worker = worker_pool_->PopWorkerSync(task_spec); + auto popped_worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_NE(popped_worker, nullptr); ASSERT_EQ(worker_pool_->GetProcessSize(), 1); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); @@ -2393,7 +2402,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseFailureForDifferentJobId) { RegisterDriver(Language::PYTHON, JOB_ID_2); // start a new worker with different job_id requires a new worker. - auto popped_worker1 = worker_pool_->PopWorkerSync(task_spec1); + auto popped_worker1 = worker_pool_->PopWorkerSync(lease_spec1); ASSERT_NE(popped_worker1, nullptr); ASSERT_NE(popped_worker1, popped_worker); ASSERT_EQ(worker_pool_->GetProcessSize(), 2); @@ -2403,7 +2412,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseFailureForDifferentJobId) { TEST_F(WorkerPoolTest, RegisterFirstPythonDriverWaitForWorkerStart) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - driver->AssignTaskId(TaskID::ForDriverTask(JOB_ID)); + driver->GrantLeaseId(LeaseID::FromRandom()); bool callback_called = false; auto callback = [callback_called_ptr = &callback_called](Status, int) mutable { *callback_called_ptr = true; @@ -2415,7 +2424,7 @@ TEST_F(WorkerPoolTest, RegisterFirstPythonDriverWaitForWorkerStart) { TEST_F(WorkerPoolTest, RegisterSecondPythonDriverCallbackImmediately) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - driver->AssignTaskId(TaskID::ForDriverTask(JOB_ID)); + driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK( worker_pool_->RegisterDriver(driver, rpc::JobConfig(), [](Status, int) {})); @@ -2425,7 +2434,7 @@ TEST_F(WorkerPoolTest, RegisterSecondPythonDriverCallbackImmediately) { }; auto second_driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - second_driver->AssignTaskId(TaskID::ForDriverTask(JOB_ID)); + second_driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK(worker_pool_->RegisterDriver(second_driver, rpc::JobConfig(), callback)); ASSERT_TRUE(callback_called); } @@ -2434,7 +2443,7 @@ TEST_F(WorkerPoolTest, RegisterFirstJavaDriverCallbackImmediately) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::JAVA, JOB_ID); - driver->AssignTaskId(TaskID::ForDriverTask(JOB_ID)); + driver->GrantLeaseId(LeaseID::FromRandom()); bool callback_called = false; auto callback = [callback_called_ptr = &callback_called](Status, int) mutable { *callback_called_ptr = true; diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index fbdf0400a152..abf4a7e9d4d2 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -173,14 +173,14 @@ void Worker::Connect(std::shared_ptr rpc_client) } } -void Worker::AssignTaskId(const TaskID &task_id) { - assigned_task_id_ = task_id; - if (!task_id.IsNil()) { - task_assign_time_ = absl::Now(); +void Worker::GrantLeaseId(const LeaseID &lease_id) { + lease_id_ = lease_id; + if (!lease_id.IsNil()) { + lease_grant_time_ = absl::Now(); } -} +}; -const TaskID &Worker::GetAssignedTaskId() const { return assigned_task_id_; } +const LeaseID &Worker::GetGrantedLeaseId() const { return lease_id_; } const JobID &Worker::GetAssignedJobId() const { return assigned_job_id_; } @@ -199,18 +199,19 @@ void Worker::AssignActorId(const ActorID &actor_id) { const ActorID &Worker::GetActorId() const { return actor_id_; } -const std::string Worker::GetTaskOrActorIdAsDebugString() const { +const RayLease &Worker::GetGrantedLease() const { return granted_lease_; } + +const std::string Worker::GetLeaseIdAsDebugString() const { std::stringstream id_ss; if (GetActorId().IsNil()) { - id_ss << "task ID: " << GetAssignedTaskId(); - } else { id_ss << "actor ID: " << GetActorId(); } + id_ss << "lease ID: " << GetGrantedLeaseId(); return id_ss.str(); } bool Worker::IsDetachedActor() const { - return assigned_task_.GetTaskSpecification().IsDetachedActor(); + return granted_lease_.GetLeaseSpecification().IsDetachedActor(); } const std::shared_ptr Worker::Connection() const { return connection_; } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 4c61f4860c3d..b4af8ee5cd1b 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -23,10 +23,9 @@ #include "absl/time/time.h" #include "gtest/gtest_prod.h" #include "ray/common/id.h" +#include "ray/common/lease/lease.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/scheduling/scheduling_ids.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_common.h" #include "ray/ipc/client_connection.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/rpc/worker/core_worker_client.h" @@ -67,15 +66,16 @@ class WorkerInterface { virtual int Port() const = 0; virtual int AssignedPort() const = 0; virtual void SetAssignedPort(int port) = 0; - virtual void AssignTaskId(const TaskID &task_id) = 0; - virtual const TaskID &GetAssignedTaskId() const = 0; + virtual void GrantLeaseId(const LeaseID &lease_id) = 0; + virtual const LeaseID &GetGrantedLeaseId() const = 0; virtual const JobID &GetAssignedJobId() const = 0; + virtual const RayLease &GetGrantedLease() const = 0; virtual std::optional GetIsGpu() const = 0; virtual std::optional GetIsActorWorker() const = 0; virtual int GetRuntimeEnvHash() const = 0; virtual void AssignActorId(const ActorID &actor_id) = 0; virtual const ActorID &GetActorId() const = 0; - virtual const std::string GetTaskOrActorIdAsDebugString() const = 0; + virtual const std::string GetLeaseIdAsDebugString() const = 0; virtual bool IsDetachedActor() const = 0; virtual const std::shared_ptr Connection() const = 0; virtual void SetOwnerAddress(const rpc::Address &address) = 0; @@ -100,9 +100,9 @@ class WorkerInterface { virtual void ClearLifetimeAllocatedInstances() = 0; - virtual RayTask &GetAssignedTask() = 0; + virtual RayLease &GetGrantedLease() = 0; - virtual void SetAssignedTask(const RayTask &assigned_task) = 0; + virtual void GrantLease(const RayLease &granted_lease) = 0; virtual bool IsRegistered() = 0; @@ -112,7 +112,7 @@ class WorkerInterface { virtual bool IsAvailableForScheduling() const = 0; /// Time when the last task was assigned to this worker. - virtual absl::Time GetAssignedTaskTime() const = 0; + virtual absl::Time GetGrantedLeaseTime() const = 0; virtual void SetJobId(const JobID &job_id) = 0; @@ -179,17 +179,17 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa int Port() const; int AssignedPort() const; void SetAssignedPort(int port); - void AssignTaskId(const TaskID &task_id); - const TaskID &GetAssignedTaskId() const; + void GrantLeaseId(const LeaseID &lease_id); + const LeaseID &GetGrantedLeaseId() const; const JobID &GetAssignedJobId() const; + const RayLease &GetGrantedLease() const; std::optional GetIsGpu() const; std::optional GetIsActorWorker() const; int GetRuntimeEnvHash() const; void AssignActorId(const ActorID &actor_id); const ActorID &GetActorId() const; - // Creates the debug string for the ID of the task or actor depending on which is - // running. - const std::string GetTaskOrActorIdAsDebugString() const; + // Creates the debug string for the ID of the lease and the actor ID if it exists. + const std::string GetLeaseIdAsDebugString() const; bool IsDetachedActor() const; const std::shared_ptr Connection() const; void SetOwnerAddress(const rpc::Address &address); @@ -225,28 +225,27 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa void ClearLifetimeAllocatedInstances() { lifetime_allocated_instances_ = nullptr; }; - RayTask &GetAssignedTask() { return assigned_task_; }; - - void SetAssignedTask(const RayTask &assigned_task) { - const auto &task_spec = assigned_task.GetTaskSpecification(); - SetJobId(task_spec.JobId()); - SetBundleId(task_spec.PlacementGroupBundleId()); - SetOwnerAddress(task_spec.CallerAddress()); - AssignTaskId(task_spec.TaskId()); - SetIsGpu(task_spec.GetRequiredResources().Get(scheduling::ResourceID::GPU()) > 0); - RAY_CHECK(!task_spec.IsActorTask()); - SetIsActorWorker(task_spec.IsActorCreationTask()); - assigned_task_ = assigned_task; - root_detached_actor_id_ = assigned_task.GetTaskSpecification().RootDetachedActorId(); + RayLease &GetGrantedLease() { return granted_lease_; }; + + void GrantLease(const RayLease &granted_lease) { + const auto &lease_spec = granted_lease.GetLeaseSpecification(); + SetJobId(lease_spec.JobId()); + SetBundleId(lease_spec.PlacementGroupBundleId()); + SetOwnerAddress(lease_spec.CallerAddress()); + GrantLeaseId(lease_spec.LeaseId()); + SetIsGpu(lease_spec.GetRequiredResources().Get(scheduling::ResourceID::GPU()) > 0); + SetIsActorWorker(lease_spec.IsActorCreationTask()); + granted_lease_ = granted_lease; + root_detached_actor_id_ = granted_lease.GetLeaseSpecification().RootDetachedActorId(); } - absl::Time GetAssignedTaskTime() const { return task_assign_time_; }; + absl::Time GetGrantedLeaseTime() const { return lease_grant_time_; }; bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { return !IsDead() // Not dead - && GetAssignedTaskId().IsNil() // No assigned task + && GetGrantedLeaseId().IsNil() // No assigned lease && !IsBlocked() // Not blocked && GetActorId().IsNil(); // No assigned actor } @@ -255,7 +254,6 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa RAY_CHECK(IsRegistered()); return rpc_client_.get(); } - void SetJobId(const JobID &job_id); void SetIsGpu(bool is_gpu); void SetIsActorWorker(bool is_actor_worker); @@ -285,9 +283,9 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa int port_; /// Connection state of a worker. std::shared_ptr connection_; - /// The worker's currently assigned task. - TaskID assigned_task_id_; - /// Job ID for the worker's current assigned task. + /// The lease id of the worker's currently assigned lease. + LeaseID lease_id_; + /// Job ID for the worker's current assigned lease. JobID assigned_job_id_; /// The hash of the worker's assigned runtime env. We use this in the worker /// pool to cache and reuse workers with the same runtime env, because @@ -295,7 +293,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa const int runtime_env_hash_; /// The worker's actor ID. If this is nil, then the worker is not an actor. ActorID actor_id_; - /// Root detached actor ID for the worker's last assigned task. + /// Root detached actor ID for the worker's last assigned lease. ActorID root_detached_actor_id_; /// The worker's placement group bundle. It is used to detect if the worker is /// associated with a placement group bundle. @@ -314,19 +312,19 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// currently holds the lease on this worker, if any. rpc::Address owner_address_; /// The capacity of each resource instance allocated to this worker in order - /// to satisfy the resource requests of the task is currently running. + /// to satisfy the resource requests of the granted lease. std::shared_ptr allocated_instances_; /// The capacity of each resource instance allocated to this worker /// when running as an actor. std::shared_ptr lifetime_allocated_instances_; - /// RayTask being assigned to this worker. - RayTask assigned_task_; - /// Time when the last task was assigned to this worker. - absl::Time task_assign_time_; - /// Whether this worker ever holded a GPU resource. Once it holds a GPU or non-GPU task + /// RayLease being assigned to this worker. + RayLease granted_lease_; + /// Time when the last lease was granted to this worker. + absl::Time lease_grant_time_; + /// Whether this worker ever holded a GPU resource. Once it holds a GPU or non-GPU lease /// it can't switch to the other type. std::optional is_gpu_ = std::nullopt; - /// Whether this worker can hold an actor. Once it holds an actor or a normal task, it + /// Whether this worker can hold an actor. Once it holds an actor or a normal lease, it /// can't switch to the other type. std::optional is_actor_worker_ = std::nullopt; /// If true, a RPC need to be sent to notify the worker about GCS restarting. diff --git a/src/ray/raylet/worker_killing_policy.cc b/src/ray/raylet/worker_killing_policy.cc index ce37f23b298b..e804864f54ac 100644 --- a/src/ray/raylet/worker_killing_policy.cc +++ b/src/ray/raylet/worker_killing_policy.cc @@ -50,13 +50,14 @@ RetriableLIFOWorkerKillingPolicy::SelectWorkerToKill( sorted.end(), [](std::shared_ptr const &left, std::shared_ptr const &right) -> bool { - // First sort by retriable tasks and then by task time in descending order. + // First sort by retriable tasks and then by assigned time in descending + // order. int left_retriable = - left->GetAssignedTask().GetTaskSpecification().IsRetriable() ? 0 : 1; + left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; int right_retriable = - right->GetAssignedTask().GetTaskSpecification().IsRetriable() ? 0 : 1; + right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; if (left_retriable == right_retriable) { - return left->GetAssignedTaskTime() > right->GetAssignedTaskTime(); + return left->GetGrantedLeaseTime() > right->GetGrantedLeaseTime(); } return left_retriable < right_retriable; }); @@ -84,11 +85,11 @@ std::string WorkerKillingPolicy::WorkersDebugString( RAY_LOG_EVERY_MS(INFO, 60000) << "Can't find memory usage for PID, reporting zero. PID: " << pid; } - result << "Worker " << index << ": task assigned time " - << absl::FormatTime(worker->GetAssignedTaskTime(), absl::UTCTimeZone()) + result << "Worker " << index << ": lease granted time " + << absl::FormatTime(worker->GetGrantedLeaseTime(), absl::UTCTimeZone()) << " worker id " << worker->WorkerId() << " memory used " << used_memory - << " task spec " - << worker->GetAssignedTask().GetTaskSpecification().DebugString() << "\n"; + << " lease spec " + << worker->GetGrantedLease().GetLeaseSpecification().DebugString() << "\n"; index += 1; if (index > num_workers) { diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.cc b/src/ray/raylet/worker_killing_policy_group_by_owner.cc index dfa2588856a8..97d7010d55c7 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.cc +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.cc @@ -50,9 +50,9 @@ GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( TaskID non_retriable_owner_id = TaskID::Nil(); std::unordered_map group_map; for (auto worker : workers) { - bool retriable = worker->GetAssignedTask().GetTaskSpecification().IsRetriable(); + bool retriable = worker->GetGrantedLease().GetLeaseSpecification().IsRetriable(); TaskID owner_id = - retriable ? worker->GetAssignedTask().GetTaskSpecification().ParentTaskId() + retriable ? worker->GetGrantedLease().GetLeaseSpecification().ParentTaskId() : non_retriable_owner_id; auto it = group_map.find(owner_id); @@ -81,7 +81,7 @@ GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( if (left_retriable == right_retriable) { if (left.GetAllWorkers().size() == right.GetAllWorkers().size()) { - return left.GetAssignedTaskTime() > right.GetAssignedTaskTime(); + return left.GetGrantedLeaseTime() > right.GetGrantedLeaseTime(); } return left.GetAllWorkers().size() > right.GetAllWorkers().size(); } @@ -93,9 +93,9 @@ GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( selected_group.GetAllWorkers().size() > 1 && selected_group.IsRetriable(); auto worker_to_kill = selected_group.SelectWorkerToKill(); - RAY_LOG(INFO) << "Sorted list of tasks based on the policy:\n" + RAY_LOG(INFO) << "Sorted list of leases based on the policy:\n" << PolicyDebugString(sorted, system_memory) - << "\nTask should be retried? " << should_retry; + << "\nLease should be retried? " << should_retry; return std::make_pair(worker_to_kill, should_retry); } @@ -105,9 +105,9 @@ std::string GroupByOwnerIdWorkerKillingPolicy::PolicyDebugString( std::stringstream result; int32_t group_index = 0; for (auto &group : groups) { - result << "Tasks (retriable: " << group.IsRetriable() - << ") (parent task id: " << group.OwnerId() << ") (Earliest assigned time: " - << absl::FormatTime(group.GetAssignedTaskTime(), absl::UTCTimeZone()) + result << "Leases (retriable: " << group.IsRetriable() + << ") (parent task id: " << group.OwnerId() << ") (Earliest granted time: " + << absl::FormatTime(group.GetGrantedLeaseTime(), absl::UTCTimeZone()) << "):\n"; int64_t worker_index = 0; @@ -121,11 +121,11 @@ std::string GroupByOwnerIdWorkerKillingPolicy::PolicyDebugString( RAY_LOG_EVERY_MS(INFO, 60000) << "Can't find memory usage for PID, reporting zero. PID: " << pid; } - result << "Task assigned time " - << absl::FormatTime(worker->GetAssignedTaskTime(), absl::UTCTimeZone()) + result << "Lease granted time " + << absl::FormatTime(worker->GetGrantedLeaseTime(), absl::UTCTimeZone()) << " worker id " << worker->WorkerId() << " memory used " << used_memory - << " task spec " - << worker->GetAssignedTask().GetTaskSpecification().DebugString() << "\n"; + << " lease spec " + << worker->GetGrantedLease().GetLeaseSpecification().DebugString() << "\n"; worker_index += 1; if (worker_index > 10) { @@ -146,13 +146,15 @@ const TaskID &Group::OwnerId() const { return owner_id_; } const bool Group::IsRetriable() const { return retriable_; } -const absl::Time Group::GetAssignedTaskTime() const { return earliest_task_time_; } +const absl::Time Group::GetGrantedLeaseTime() const { + return earliest_granted_lease_time_; +} void Group::AddToGroup(std::shared_ptr worker) { - if (worker->GetAssignedTaskTime() < earliest_task_time_) { - earliest_task_time_ = worker->GetAssignedTaskTime(); + if (worker->GetGrantedLeaseTime() < earliest_granted_lease_time_) { + earliest_granted_lease_time_ = worker->GetGrantedLeaseTime(); } - bool retriable = worker->GetAssignedTask().GetTaskSpecification().IsRetriable(); + bool retriable = worker->GetGrantedLease().GetLeaseSpecification().IsRetriable(); RAY_CHECK_EQ(retriable_, retriable); workers_.push_back(worker); } @@ -165,7 +167,7 @@ const std::shared_ptr Group::SelectWorkerToKill() const { sorted.end(), [](std::shared_ptr const &left, std::shared_ptr const &right) -> bool { - return left->GetAssignedTaskTime() > right->GetAssignedTaskTime(); + return left->GetGrantedLeaseTime() > right->GetGrantedLeaseTime(); }); return sorted.front(); diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.h b/src/ray/raylet/worker_killing_policy_group_by_owner.h index 2d57b6227662..791126aab92d 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.h +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.h @@ -32,8 +32,8 @@ namespace ray { namespace raylet { -/// Key groups on its owner id. For non-retriable task the owner id is itself, -/// Since non-retriable task forms its own group. +/// Key groups on its owner id. For non-retriable lease the owner id is Nil, +/// Since non-retriable lease forms its own group. struct GroupKey { explicit GroupKey(const TaskID &owner_id) : owner_id_(owner_id) {} const TaskID &owner_id_; @@ -44,46 +44,44 @@ struct Group { Group(const TaskID &owner_id, bool retriable) : owner_id_(owner_id), retriable_(retriable) {} - /// The parent task id of the tasks belonging to this group + /// The parent task id of the leases belonging to this group const TaskID &OwnerId() const; - /// Whether tasks in this group are retriable. + /// Whether leases in this group are retriable. const bool IsRetriable() const; - /// Gets the task time of the earliest task of this group, to be + /// Gets the assigned lease time of the earliest lease of this group, to be /// used for group priority. - const absl::Time GetAssignedTaskTime() const; + const absl::Time GetGrantedLeaseTime() const; /// Returns the worker to be killed in this group, in LIFO order. const std::shared_ptr SelectWorkerToKill() const; - /// Tasks belonging to this group. + /// Leases belonging to this group. const std::vector> GetAllWorkers() const; - /// Adds worker that the task belongs to to the group. + /// Adds worker that the lease belongs to to the group. void AddToGroup(std::shared_ptr worker); private: - /// Tasks belonging to this group. + /// Leases belonging to this group. std::vector> workers_; - /// The earliest creation time of the tasks. - absl::Time earliest_task_time_ = absl::Now(); + /// The earliest creation time of the leases. + absl::Time earliest_granted_lease_time_ = absl::Now(); - /// The owner id shared by tasks of this group. - /// TODO(clarng): make this const and implement move / swap. + /// The owner id shared by leases of this group. TaskID owner_id_; - /// Whether the tasks are retriable. - /// TODO(clarng): make this const and implement move / swap. + /// Whether the leases are retriable. bool retriable_; }; -/// Groups task by its owner id. Non-retriable task (whether it be task or actor) forms -/// its own group. Prioritizes killing groups that are retriable first, else it picks the -/// largest group, else it picks the newest group. The "age" of a group is based on the -/// time of its earliest submitted task. When a group is selected for killing it selects -/// the last submitted task. +/// Groups leases by its owner id. Non-retriable leases (whether it be task or actor) +/// forms its own group. Prioritizes killing groups that are retriable first, else it +/// picks the largest group, else it picks the newest group. The "age" of a group is based +/// on the time of its earliest granted leases. When a group is selected for killing it +/// selects the last submitted task. /// /// When selecting a worker / task to be killed, it will set the task to-be-killed to be /// non-retriable if it is the last member of the group, and is retriable otherwise. diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc index 571517f4558e..1169caf35370 100644 --- a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc +++ b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc @@ -52,13 +52,13 @@ RetriableFIFOWorkerKillingPolicy::SelectWorkerToKill( sorted.end(), [](std::shared_ptr const &left, std::shared_ptr const &right) -> bool { - // First sort by retriable tasks and then by task time in ascending order. + // First sort by retriable leases and then by lease time in ascending order. int left_retriable = - left->GetAssignedTask().GetTaskSpecification().IsRetriable() ? 0 : 1; + left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; int right_retriable = - right->GetAssignedTask().GetTaskSpecification().IsRetriable() ? 0 : 1; + right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; if (left_retriable == right_retriable) { - return left->GetAssignedTaskTime() < right->GetAssignedTaskTime(); + return left->GetGrantedLeaseTime() < right->GetGrantedLeaseTime(); } return left_retriable < right_retriable; }); diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 182070e8777b..342068c7f2e6 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -28,10 +28,10 @@ #include "absl/strings/str_split.h" #include "ray/common/constants.h" +#include "ray/common/lease/lease_spec.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/status.h" -#include "ray/common/task/task_spec.h" #include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" @@ -186,12 +186,12 @@ void WorkerPool::Start() { } if (RayConfig::instance().enable_worker_prestart()) { - rpc::TaskSpec rpc_task_spec; - rpc_task_spec.set_language(Language::PYTHON); - rpc_task_spec.mutable_runtime_env_info()->set_serialized_runtime_env("{}"); + rpc::LeaseSpec rpc_lease_spec; + rpc_lease_spec.set_language(Language::PYTHON); + rpc_lease_spec.mutable_runtime_env_info()->set_serialized_runtime_env("{}"); - TaskSpecification task_spec{std::move(rpc_task_spec)}; - PrestartWorkersInternal(task_spec, num_prestart_python_workers); + LeaseSpecification lease_spec{std::move(rpc_lease_spec)}; + PrestartWorkersInternal(lease_spec, num_prestart_python_workers); } } @@ -481,7 +481,7 @@ std::tuple WorkerPool::StartWorkerProcess( auto it = all_jobs_.find(job_id); if (it == all_jobs_.end()) { RAY_LOG(DEBUG) << "Job config of job " << job_id << " are not local yet."; - // Will reschedule ready tasks in `NodeManager::HandleJobStarted`. + // Will reschedule ready leases in `NodeManager::HandleJobStarted`. *status = PopWorkerStatus::JobConfigMissing; process_failed_job_config_missing_++; return {Process(), (StartupToken)-1}; @@ -631,7 +631,7 @@ void WorkerPool::MonitorPopWorkerRequestForRegistration( auto &requests = state.pending_registration_requests; auto it = std::find(requests.begin(), requests.end(), pop_worker_request); if (it != requests.end()) { - // Pop and fail the task... + // Pop and fail the lease... requests.erase(it); PopWorkerStatus status = PopWorkerStatus::WorkerPendingRegistration; PopWorkerCallbackAsync(pop_worker_request->callback_, nullptr, status); @@ -876,7 +876,7 @@ Status WorkerPool::RegisterDriver(const std::shared_ptr &driver const rpc::JobConfig &job_config, std::function send_reply_callback) { int port; - RAY_CHECK(!driver->GetAssignedTaskId().IsNil()); + RAY_CHECK(!driver->GetGrantedLeaseId().IsNil()); Status status = GetNextFreePort(&port); if (!status.ok()) { send_reply_callback(status, /*port=*/0); @@ -894,12 +894,12 @@ Status WorkerPool::RegisterDriver(const std::shared_ptr &driver if (!first_job_registered_ && RayConfig::instance().prestart_worker_first_driver() && !RayConfig::instance().enable_worker_prestart()) { RAY_LOG(DEBUG) << "PrestartDefaultCpuWorkers " << num_prestart_python_workers; - rpc::TaskSpec rpc_task_spec; - rpc_task_spec.set_language(Language::PYTHON); - rpc_task_spec.mutable_runtime_env_info()->set_serialized_runtime_env("{}"); + rpc::LeaseSpec rpc_lease_spec; + rpc_lease_spec.set_language(Language::PYTHON); + rpc_lease_spec.mutable_runtime_env_info()->set_serialized_runtime_env("{}"); - TaskSpecification task_spec{std::move(rpc_task_spec)}; - PrestartWorkersInternal(task_spec, num_prestart_python_workers); + LeaseSpecification lease_spec{std::move(rpc_lease_spec)}; + PrestartWorkersInternal(lease_spec, num_prestart_python_workers); } // Invoke the `send_reply_callback` later to only finish driver @@ -1049,11 +1049,10 @@ void WorkerPool::PopDeleteWorker( } void WorkerPool::PushWorker(const std::shared_ptr &worker) { - // Since the worker is now idle, unset its assigned task ID. - RAY_CHECK(worker->GetAssignedTaskId().IsNil()) - << "Idle workers cannot have an assigned task ID"; - - // Find a task that this worker can fit. If there's none, put it in the idle pool. + // Since the worker is now idle, verify that it has no assigned lease ID. + RAY_CHECK(worker->GetGrantedLeaseId().IsNil()) + << "Idle workers cannot have an assigned lease ID"; + // Find a lease that this worker can fit. If there's none, put it in the idle pool. // First find in pending_registration_requests, then in pending_start_requests. std::shared_ptr pop_worker_request = nullptr; auto &state = GetStateForLanguage(worker->GetLanguage()); @@ -1062,7 +1061,7 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { state.pending_registration_requests.begin(), state.pending_registration_requests.end(), [this, &worker](const std::shared_ptr &request) { - return WorkerFitsForTask(*worker, *request) == WorkerUnfitForTaskReason::NONE; + return WorkerFitForLease(*worker, *request) == WorkerUnfitForLeaseReason::NONE; }); if (it != state.pending_registration_requests.end()) { pop_worker_request = *it; @@ -1074,7 +1073,7 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { state.pending_start_requests.begin(), state.pending_start_requests.end(), [this, &worker](const std::shared_ptr &request) { - return WorkerFitsForTask(*worker, *request) == WorkerUnfitForTaskReason::NONE; + return WorkerFitForLease(*worker, *request) == WorkerUnfitForLeaseReason::NONE; }); if (it != state.pending_start_requests.end()) { pop_worker_request = *it; @@ -1085,7 +1084,7 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { if (pop_worker_request) { bool used = pop_worker_request->callback_(worker, PopWorkerStatus::OK, ""); if (!used) { - // Retry PushWorker. Maybe it can be used by other tasks. + // Retry PushWorker. Maybe it can be used by other leases. // Can we have tail call optimization for this? :) return PushWorker(worker); } @@ -1097,7 +1096,7 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { absl::Time keep_alive_until = now + absl::Milliseconds(RayConfig::instance().idle_worker_killing_time_threshold_ms()); - if (worker->GetAssignedTaskTime() == absl::Time()) { + if (worker->GetGrantedLeaseTime() == absl::Time()) { // Newly registered worker. Respect worker_startup_keep_alive_duration if any. auto it = state.worker_processes.find(worker->GetStartupToken()); if (it != state.worker_processes.end()) { @@ -1107,9 +1106,9 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { } } - // If the worker never held any tasks, then we should consider it first when + // If the worker never held any leases, then we should consider it first when // choosing which idle workers to kill because it is not warmed up and is slower - // than those workers who served tasks before. + // than those workers who held leases before. // See https://github.com/ray-project/ray/pull/36766 // // Also, we set keep_alive_until w.r.t. worker_startup_keep_alive_duration. @@ -1158,7 +1157,7 @@ void WorkerPool::TryKillingIdleWorkers() { } // Compute the soft limit for the number of idle workers to keep around. - // This assumes the common case where each task requires 1 CPU. + // This assumes the common case where each lease requires 1 CPU. const auto num_desired_idle_workers = get_num_cpus_available_(); RAY_LOG(DEBUG) << "Idle workers: " << idle_of_all_languages_.size() << ", idle workers that are eligible to kill: " @@ -1237,64 +1236,64 @@ void WorkerPool::KillIdleWorker(const IdleWorkerEntry &entry) { }); } -WorkerUnfitForTaskReason WorkerPool::WorkerFitsForTask( +WorkerUnfitForLeaseReason WorkerPool::WorkerFitForLease( const WorkerInterface &worker, const PopWorkerRequest &pop_worker_request) const { if (worker.IsDead()) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } // These workers are exiting. So skip them. if (pending_exit_idle_workers_.contains(worker.WorkerId())) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } if (worker.GetLanguage() != pop_worker_request.language_) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } if (worker.GetWorkerType() != pop_worker_request.worker_type_) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } // For scheduling requests with a root detached actor ID, ensure that either the // worker has _no_ detached actor ID or it matches the request. // NOTE(edoakes): the job ID for a worker with no detached actor ID must still match, - // which is checked below. The pop_worker_request for a task rooted in a detached + // which is checked below. The pop_worker_request for a lease rooted in a detached // actor will have the job ID of the job that created the detached actor. if (!pop_worker_request.root_detached_actor_id_.IsNil() && !worker.GetRootDetachedActorId().IsNil() && pop_worker_request.root_detached_actor_id_ != worker.GetRootDetachedActorId()) { - return WorkerUnfitForTaskReason::ROOT_MISMATCH; + return WorkerUnfitForLeaseReason::ROOT_MISMATCH; } // Only consider workers that haven't been assigned to a job yet or have been assigned // to the requested job. const auto worker_job_id = worker.GetAssignedJobId(); if (!worker_job_id.IsNil() && pop_worker_request.job_id_ != worker_job_id) { - return WorkerUnfitForTaskReason::ROOT_MISMATCH; + return WorkerUnfitForLeaseReason::ROOT_MISMATCH; } // If the request asks for a is_gpu, and the worker is assigned a different is_gpu, // then skip it. if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_gpu_, worker.GetIsGpu())) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } // If the request asks for a is_actor_worker, and the worker is assigned a different // is_actor_worker, then skip it. if (!OptionalsMatchOrEitherEmpty(pop_worker_request.is_actor_worker_, worker.GetIsActorWorker())) { - return WorkerUnfitForTaskReason::OTHERS; + return WorkerUnfitForLeaseReason::OTHERS; } // Skip workers with a mismatched runtime_env. - // Even if the task doesn't have a runtime_env specified, we cannot schedule it to a - // worker with a runtime_env because the task is expected to run in the base + // Even if the lease doesn't have a runtime_env specified, we cannot schedule it to a + // worker with a runtime_env because the lease is expected to run in the base // environment. if (worker.GetRuntimeEnvHash() != pop_worker_request.runtime_env_hash_) { - return WorkerUnfitForTaskReason::RUNTIME_ENV_MISMATCH; + return WorkerUnfitForLeaseReason::RUNTIME_ENV_MISMATCH; } // Skip if the dynamic_options doesn't match. if (LookupWorkerDynamicOptions(worker.GetStartupToken()) != pop_worker_request.dynamic_options_) { - return WorkerUnfitForTaskReason::DYNAMIC_OPTIONS_MISMATCH; + return WorkerUnfitForLeaseReason::DYNAMIC_OPTIONS_MISMATCH; } - return WorkerUnfitForTaskReason::NONE; + return WorkerUnfitForLeaseReason::NONE; } void WorkerPool::StartNewWorker( @@ -1361,32 +1360,27 @@ void WorkerPool::StartNewWorker( } } -void WorkerPool::PopWorker(const TaskSpecification &task_spec, +void WorkerPool::PopWorker(const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) { - RAY_LOG(DEBUG) << "Pop worker for task " << task_spec.TaskId() << " task name " - << task_spec.FunctionDescriptor()->ToString(); - // Code path of actor task. - RAY_CHECK(!task_spec.IsActorTask()) << "Direct call shouldn't reach here."; - auto pop_worker_request = std::make_shared( - task_spec.GetLanguage(), + lease_spec.GetLanguage(), rpc::WorkerType::WORKER, - task_spec.JobId(), - task_spec.RootDetachedActorId(), - /*is_gpu=*/task_spec.GetRequiredResources().Get(scheduling::ResourceID::GPU()) > 0, - /*is_actor_worker=*/task_spec.IsActorCreationTask(), - task_spec.RuntimeEnvInfo(), - task_spec.GetRuntimeEnvHash(), - task_spec.DynamicWorkerOptionsOrEmpty(), + lease_spec.JobId(), + lease_spec.RootDetachedActorId(), + /*is_gpu=*/lease_spec.GetRequiredResources().Get(scheduling::ResourceID::GPU()) > 0, + /*is_actor_worker=*/lease_spec.IsActorCreationTask(), + lease_spec.RuntimeEnvInfo(), + lease_spec.GetRuntimeEnvHash(), + lease_spec.DynamicWorkerOptionsOrEmpty(), /*worker_startup_keep_alive_duration=*/std::nullopt, - [this, task_spec, callback]( + [this, lease_spec, callback]( const std::shared_ptr &worker, PopWorkerStatus status, const std::string &runtime_env_setup_error_message) -> bool { - // We got a worker suitable for the task. Now let's check if the task is still + // We got a worker suitable for the lease. Now let's check if the lease is still // executable. - if (worker && finished_jobs_.contains(task_spec.JobId()) && - task_spec.RootDetachedActorId().IsNil()) { + if (worker && finished_jobs_.contains(lease_spec.JobId()) && + lease_spec.RootDetachedActorId().IsNil()) { // When a job finishes, node manager will kill leased workers one time // and worker pool will kill idle workers periodically. // The current worker is already removed from the idle workers @@ -1407,21 +1401,21 @@ void WorkerPool::PopWorker(const TaskSpecification &task_spec, std::shared_ptr WorkerPool::FindAndPopIdleWorker( const PopWorkerRequest &pop_worker_request) { - absl::flat_hash_map skip_reason_count; + absl::flat_hash_map skip_reason_count; - auto worker_fits_for_task_fn = [this, &pop_worker_request, &skip_reason_count]( + auto worker_fit_for_lease_fn = [this, &pop_worker_request, &skip_reason_count]( const IdleWorkerEntry &entry) -> bool { - WorkerUnfitForTaskReason reason = - WorkerFitsForTask(*entry.worker, pop_worker_request); - if (reason == WorkerUnfitForTaskReason::NONE) { + WorkerUnfitForLeaseReason reason = + WorkerFitForLease(*entry.worker, pop_worker_request); + if (reason == WorkerUnfitForLeaseReason::NONE) { return true; } skip_reason_count[reason]++; - if (reason == WorkerUnfitForTaskReason::DYNAMIC_OPTIONS_MISMATCH) { + if (reason == WorkerUnfitForLeaseReason::DYNAMIC_OPTIONS_MISMATCH) { ray_metric_num_cached_workers_skipped_dynamic_options_mismatch_.Record(1); - } else if (reason == WorkerUnfitForTaskReason::RUNTIME_ENV_MISMATCH) { + } else if (reason == WorkerUnfitForLeaseReason::RUNTIME_ENV_MISMATCH) { ray_metric_num_cached_workers_skipped_runtime_environment_mismatch_.Record(1); - } else if (reason == WorkerUnfitForTaskReason::ROOT_MISMATCH) { + } else if (reason == WorkerUnfitForLeaseReason::ROOT_MISMATCH) { ray_metric_num_cached_workers_skipped_job_mismatch_.Record(1); } return false; @@ -1429,7 +1423,7 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( auto &state = GetStateForLanguage(pop_worker_request.language_); auto worker_it = std::find_if(idle_of_all_languages_.rbegin(), idle_of_all_languages_.rend(), - worker_fits_for_task_fn); + worker_fit_for_lease_fn); if (worker_it == idle_of_all_languages_.rend()) { RAY_LOG(DEBUG) << "No cached worker, cached workers skipped due to " << debug_string(skip_reason_count); @@ -1444,7 +1438,7 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( idle_of_all_languages_.erase(lit); // Assigned workers should always match the request's job_id - // *except* if the task originates from a detached actor. + // *except* if the lease originates from a detached actor. RAY_CHECK(worker->GetAssignedJobId().IsNil() || worker->GetAssignedJobId() == pop_worker_request.job_id_ || !pop_worker_request.root_detached_actor_id_.IsNil()); @@ -1452,7 +1446,7 @@ std::shared_ptr WorkerPool::FindAndPopIdleWorker( } void WorkerPool::PopWorker(std::shared_ptr pop_worker_request) { - // If there's an idle worker that fits the task, use it. + // If there's an idle worker that fits the lease, use it. // Else, start a new worker. auto worker = FindAndPopIdleWorker(*pop_worker_request); if (worker == nullptr) { @@ -1465,21 +1459,21 @@ void WorkerPool::PopWorker(std::shared_ptr pop_worker_request) PopWorkerCallbackAsync(pop_worker_request->callback_, worker, PopWorkerStatus::OK); } -void WorkerPool::PrestartWorkers(const TaskSpecification &task_spec, +void WorkerPool::PrestartWorkers(const LeaseSpecification &lease_spec, int64_t backlog_size) { int64_t num_available_cpus = get_num_cpus_available_(); - // Code path of task that needs a dedicated worker. + // Code path of lease that needs a dedicated worker. RAY_LOG(DEBUG) << "PrestartWorkers, num_available_cpus " << num_available_cpus - << " backlog_size " << backlog_size << " task spec " - << task_spec.DebugString() << " has runtime env " - << task_spec.HasRuntimeEnv(); - if ((task_spec.IsActorCreationTask() && !task_spec.DynamicWorkerOptions().empty()) || - task_spec.GetLanguage() != ray::Language::PYTHON) { + << " backlog_size " << backlog_size << " lease spec " + << lease_spec.DebugString() << " has runtime env " + << lease_spec.HasRuntimeEnv(); + if (lease_spec.IsActorCreationTask() && lease_spec.DynamicWorkerOptionsSize() > 0 && + lease_spec.GetLanguage() != ray::Language::PYTHON) { return; // Not handled. } - auto &state = GetStateForLanguage(task_spec.GetLanguage()); - // The number of available workers that can be used for this task spec. + auto &state = GetStateForLanguage(lease_spec.GetLanguage()); + // The number of available workers that can be used for this lease spec. int num_usable_workers = state.idle.size(); for (auto &entry : state.worker_processes) { num_usable_workers += entry.second.is_pending_registration ? 1 : 0; @@ -1490,48 +1484,48 @@ void WorkerPool::PrestartWorkers(const TaskSpecification &task_spec, if (num_usable_workers < desired_usable_workers) { // Account for workers that are idle or already starting. int64_t num_needed = desired_usable_workers - num_usable_workers; - RAY_LOG(DEBUG) << "Prestarting " << num_needed << " workers given task backlog size " + RAY_LOG(DEBUG) << "Prestarting " << num_needed << " workers given lease backlog size " << backlog_size << " and available CPUs " << num_available_cpus << " num idle workers " << state.idle.size() << " num registered workers " << state.registered_workers.size(); - PrestartWorkersInternal(task_spec, num_needed); + PrestartWorkersInternal(lease_spec, num_needed); } } -void WorkerPool::PrestartWorkersInternal(const TaskSpecification &task_spec, +void WorkerPool::PrestartWorkersInternal(const LeaseSpecification &lease_spec, int64_t num_needed) { RAY_LOG(DEBUG) << "PrestartWorkers " << num_needed; for (int ii = 0; ii < num_needed; ++ii) { // Prestart worker with no runtime env. - if (IsRuntimeEnvEmpty(task_spec.SerializedRuntimeEnv())) { + if (IsRuntimeEnvEmpty(lease_spec.SerializedRuntimeEnv())) { PopWorkerStatus status; StartWorkerProcess( - task_spec.GetLanguage(), rpc::WorkerType::WORKER, task_spec.JobId(), &status); + lease_spec.GetLanguage(), rpc::WorkerType::WORKER, lease_spec.JobId(), &status); continue; } // Prestart worker with runtime env. GetOrCreateRuntimeEnv( - task_spec.SerializedRuntimeEnv(), - task_spec.RuntimeEnvConfig(), - task_spec.JobId(), - [this, task_spec = task_spec](bool successful, - const std::string &serialized_runtime_env_context, - const std::string &setup_error_message) { + lease_spec.SerializedRuntimeEnv(), + lease_spec.RuntimeEnvConfig(), + lease_spec.JobId(), + [this, lease_spec = lease_spec](bool successful, + const std::string &serialized_runtime_env_context, + const std::string &setup_error_message) { if (!successful) { RAY_LOG(ERROR) << "Fails to create or get runtime env " << setup_error_message; return; } PopWorkerStatus status; - StartWorkerProcess(task_spec.GetLanguage(), + StartWorkerProcess(lease_spec.GetLanguage(), rpc::WorkerType::WORKER, - task_spec.JobId(), + lease_spec.JobId(), &status, /*dynamic_options=*/{}, - task_spec.GetRuntimeEnvHash(), + lease_spec.GetRuntimeEnvHash(), serialized_runtime_env_context, - task_spec.RuntimeEnvInfo()); + lease_spec.RuntimeEnvInfo()); }); } } diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 8da7d3046472..30cdb2dc82d7 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -34,9 +34,8 @@ #include "absl/time/time.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" +#include "ray/common/lease/lease.h" #include "ray/common/runtime_env_manager.h" -#include "ray/common/task/task.h" -#include "ray/common/task/task_common.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/ipc/client_connection.h" #include "ray/raylet/runtime_env_agent_client.h" @@ -67,7 +66,7 @@ enum PopWorkerStatus { // Any fails of runtime env creation. // A nullptr worker will be returned with callback. RuntimeEnvCreationFailed = 4, - // The task's job has finished. + // The lease's job has finished. // A nullptr worker will be returned with callback. JobFinished = 5, }; @@ -154,7 +153,7 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { /// Pop an idle worker from the pool. The caller is responsible for pushing /// the worker back onto the pool once the worker has completed its work. /// - /// \param task_spec The returned worker must be able to execute this task. + /// \param lease_spec The returned worker must be able to execute this lease. /// \param callback The callback function that executed when gets the result of /// worker popping. /// The callback will be executed with an empty worker in following cases: @@ -168,7 +167,7 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { /// Case 1: An suitable worker was found in idle worker pool. /// Case 2: An suitable worker registered to raylet. /// The corresponding PopWorkerStatus will be passed to the callback. - virtual void PopWorker(const TaskSpecification &task_spec, + virtual void PopWorker(const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) = 0; /// Add an idle worker to the pool. /// @@ -238,7 +237,7 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { virtual void DisconnectDriver(const std::shared_ptr &driver) = 0; - virtual void PrestartWorkers(const TaskSpecification &task_spec, + virtual void PrestartWorkers(const LeaseSpecification &lease_spec, int64_t backlog_size) = 0; virtual void StartNewWorker( @@ -250,14 +249,14 @@ class WorkerPoolInterface : public IOWorkerPoolInterface { class WorkerInterface; class Worker; -enum class WorkerUnfitForTaskReason { +enum class WorkerUnfitForLeaseReason { NONE = 0, // OK ROOT_MISMATCH = 1, // job ID or root detached actor ID mismatch RUNTIME_ENV_MISMATCH = 2, // runtime env hash mismatch DYNAMIC_OPTIONS_MISMATCH = 3, // dynamic options mismatch OTHERS = 4, // reasons we don't do stats for (e.g. language) }; -static constexpr std::string_view kWorkerUnfitForTaskReasonDebugName[] = { +static constexpr std::string_view kWorkerUnfitForLeaseReasonDebugName[] = { "NONE", "ROOT_MISMATCH", "RUNTIME_ENV_MISMATCH", @@ -266,8 +265,8 @@ static constexpr std::string_view kWorkerUnfitForTaskReasonDebugName[] = { }; inline std::ostream &operator<<(std::ostream &os, - const WorkerUnfitForTaskReason &reason) { - os << kWorkerUnfitForTaskReasonDebugName[static_cast(reason)]; + const WorkerUnfitForLeaseReason &reason) { + os << kWorkerUnfitForLeaseReasonDebugName[static_cast(reason)]; return os; } @@ -477,19 +476,20 @@ class WorkerPool : public WorkerPoolInterface { void PushWorker(const std::shared_ptr &worker) override; /// See interface. - void PopWorker(const TaskSpecification &task_spec, + void PopWorker(const LeaseSpecification &lease_spec, const PopWorkerCallback &callback) override; - /// Try to prestart a number of workers suitable the given task spec. Prestarting + /// Try to prestart a number of workers suitable the given lease spec. Prestarting /// is needed since core workers request one lease at a time, if starting is slow, /// then it means it takes a long time to scale up. /// - /// \param task_spec The returned worker must be able to execute this task. - /// \param backlog_size The number of tasks in the client backlog of this shape. + /// \param lease_spec The returned worker must be able to execute this lease. + /// \param backlog_size The number of leases in the client backlog of this shape. /// We aim to prestart 1 worker per CPU, up to the backlog size. - void PrestartWorkers(const TaskSpecification &task_spec, int64_t backlog_size) override; + void PrestartWorkers(const LeaseSpecification &lease_spec, + int64_t backlog_size) override; - void PrestartWorkersInternal(const TaskSpecification &task_spec, int64_t num_needed); + void PrestartWorkersInternal(const LeaseSpecification &lease_spec, int64_t num_needed); /// Return the current size of the worker pool for the requested language. Counts only /// idle workers. @@ -534,7 +534,7 @@ class WorkerPool : public WorkerPoolInterface { /// Internal implementation of PopWorker. void PopWorker(std::shared_ptr pop_worker_request); - // Find an idle worker that can serve the task. If found, pop it out and return it. + // Find an idle worker that can serve the lease. If found, pop it out and return it. // Otherwise, return nullptr. std::shared_ptr FindAndPopIdleWorker( const PopWorkerRequest &pop_worker_request); @@ -570,8 +570,8 @@ class WorkerPool : public WorkerPoolInterface { /// \param serialized_runtime_env_context The context of runtime env. /// \param runtime_env_info The raw runtime env info. /// \param worker_startup_keep_alive_duration If set, the worker will be kept alive for - /// this duration even if it's idle. This is only applicable before a task is assigned - /// to the worker. + /// this duration even if it's idle. This is only applicable before a lease is + /// assigned to the worker. /// \return The process that we started and a token. If the token is less than 0, /// we didn't start a process. std::tuple StartWorkerProcess( @@ -639,7 +639,7 @@ class WorkerPool : public WorkerPoolInterface { rpc::RuntimeEnvInfo runtime_env_info; /// The dynamic_options. std::vector dynamic_options; - /// The duration to keep the newly created worker alive before it's assigned a task. + /// The duration to keep the newly created worker alive before it's assigned a lease. std::optional worker_startup_keep_alive_duration; }; @@ -843,9 +843,9 @@ class WorkerPool : public WorkerPoolInterface { /// /// \param[in] worker The worker. /// \param[in] pop_worker_request The pop worker request. - /// \return WorkerUnfitForTaskReason::NONE if the worker can be used, else a + /// \return WorkerUnfitForLeaseReason::NONE if the worker can be used, else a /// status indicating why it cannot. - WorkerUnfitForTaskReason WorkerFitsForTask( + WorkerUnfitForLeaseReason WorkerFitForLease( const WorkerInterface &worker, const PopWorkerRequest &pop_worker_request) const; /// For Process class for managing subprocesses (e.g. reaping zombies). diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index bfb8b0665d0a..8e55cb4adfe7 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -23,7 +23,6 @@ #include "absl/synchronization/notification.h" #include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" -#include "ray/common/task/task_spec.h" #include "ray/util/logging.h" namespace ray::raylet { @@ -37,7 +36,7 @@ RayletClient::RayletClient(const rpc::Address &address, std::move(raylet_unavailable_timeout_callback)))) {} void RayletClient::RequestWorkerLease( - const rpc::TaskSpec &task_spec, + const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const rpc::ClientCallback &callback, const int64_t backlog_size, @@ -46,11 +45,11 @@ void RayletClient::RequestWorkerLease( auto request = google::protobuf::Arena::CreateMessage(&arena); // The unsafe allocating here is actually safe because the life-cycle of - // task_spec is longer than request. + // lease_spec is longer than request. // Request will be sent before the end of this call, and after that, it won't be // used any more. - request->unsafe_arena_set_allocated_resource_spec( - const_cast(&task_spec)); + request->unsafe_arena_set_allocated_lease_spec( + const_cast(&lease_spec)); request->set_grant_or_reject(grant_or_reject); request->set_backlog_size(backlog_size); request->set_is_selected_based_on_locality(is_selected_based_on_locality); @@ -77,35 +76,35 @@ void RayletClient::ReportWorkerBacklog( request, [](const Status &status, rpc::ReportWorkerBacklogReply &&reply /*unused*/) { RAY_LOG_IF_ERROR(INFO, status) - << "Error reporting task backlog information: " << status; + << "Error reporting lease backlog information: " << status; }); } -Status RayletClient::ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) { - rpc::ReturnWorkerRequest request; +Status RayletClient::ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) { + rpc::ReturnWorkerLeaseRequest request; request.set_worker_port(worker_port); request.set_worker_id(worker_id.Binary()); request.set_disconnect_worker(disconnect_worker); request.set_disconnect_worker_error_detail(disconnect_worker_error_detail); request.set_worker_exiting(worker_exiting); - grpc_client_->ReturnWorker( - request, [](const Status &status, rpc::ReturnWorkerReply &&reply /*unused*/) { + grpc_client_->ReturnWorkerLease( + request, [](const Status &status, rpc::ReturnWorkerLeaseReply &&reply /*unused*/) { RAY_LOG_IF_ERROR(INFO, status) << "Error returning worker: " << status; }); return Status::OK(); } -void RayletClient::GetTaskFailureCause( - const TaskID &task_id, - const ray::rpc::ClientCallback &callback) { - rpc::GetTaskFailureCauseRequest request; - request.set_task_id(task_id.Binary()); - grpc_client_->GetTaskFailureCause( - request, [callback](const Status &status, rpc::GetTaskFailureCauseReply &&reply) { +void RayletClient::GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) { + rpc::GetWorkerFailureCauseRequest request; + request.set_lease_id(lease_id.Binary()); + grpc_client_->GetWorkerFailureCause( + request, [callback](const Status &status, rpc::GetWorkerFailureCauseReply &&reply) { RAY_LOG_IF_ERROR(INFO, status) << "Error getting task result: " << status; callback(status, std::move(reply)); }); @@ -189,10 +188,10 @@ void RayletClient::ReleaseUnusedActorWorkers( } void RayletClient::CancelWorkerLease( - const TaskID &task_id, + const LeaseID &lease_id, const rpc::ClientCallback &callback) { rpc::CancelWorkerLeaseRequest request; - request.set_task_id(task_id.Binary()); + request.set_lease_id(lease_id.Binary()); grpc_client_->CancelWorkerLease(request, callback); } @@ -312,19 +311,19 @@ void RayletClient::GetResourceLoad( grpc_client_->GetResourceLoad(request, callback); } -void RayletClient::CancelTasksWithResourceShapes( +void RayletClient::CancelLeasesWithResourceShapes( const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) { - rpc::CancelTasksWithResourceShapesRequest request; + const rpc::ClientCallback &callback) { + rpc::CancelLeasesWithResourceShapesRequest request; for (const auto &resource_shape : resource_shapes) { - rpc::CancelTasksWithResourceShapesRequest::ResourceShape *resource_shape_proto = + rpc::CancelLeasesWithResourceShapesRequest::ResourceShape *resource_shape_proto = request.add_resource_shapes(); resource_shape_proto->mutable_resource_shape()->insert(resource_shape.begin(), resource_shape.end()); } - grpc_client_->CancelTasksWithResourceShapes(request, callback); + grpc_client_->CancelLeasesWithResourceShapes(request, callback); } void RayletClient::NotifyGCSRestart( diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index cba4feeee6b7..75592cb1a90c 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -25,7 +25,6 @@ #include "ray/common/bundle_spec.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "ray/common/task/task_spec.h" #include "ray/ipc/client_connection.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/util/process.h" @@ -57,13 +56,14 @@ class RayletClientInterface { const ray::rpc::ClientCallback &callback) = 0; /// Requests a worker from the raylet. The callback will be sent via gRPC. - /// \param resource_spec Resources that should be allocated for the worker. + /// \param lease_spec Lease that is requested by the owner. /// \param grant_or_reject: True if we we should either grant or reject the request /// but no spillback. /// \param callback: The callback to call when the request finishes. /// \param backlog_size The queue length for the given shape on the CoreWorker. + /// \param lease_id Unique lease ID for this worker lease request. virtual void RequestWorkerLease( - const rpc::TaskSpec &task_spec, + const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size = -1, @@ -75,11 +75,11 @@ class RayletClientInterface { /// \param disconnect_worker Whether the raylet should disconnect the worker. /// \param worker_exiting Whether the worker is exiting and cannot be reused. /// \return ray::Status - virtual ray::Status ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) = 0; + virtual ray::Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) = 0; /// Request the raylet to prestart workers. In `request` we can set the worker's owner, /// runtime env info and number of workers. @@ -97,7 +97,7 @@ class RayletClientInterface { const rpc::ClientCallback &callback) = 0; virtual void CancelWorkerLease( - const TaskID &task_id, + const LeaseID &lease_id, const rpc::ClientCallback &callback) = 0; /// Report the backlog size of a given worker and a given scheduling class to the @@ -108,9 +108,9 @@ class RayletClientInterface { const WorkerID &worker_id, const std::vector &backlog_reports) = 0; - virtual void GetTaskFailureCause( - const TaskID &task_id, - const ray::rpc::ClientCallback &callback) = 0; + virtual void GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) = 0; /// Request a raylet to prepare resources of given bundles for atomic placement group /// creation. This is used for the first phase of atomic placement group creation. The @@ -202,9 +202,9 @@ class RayletClientInterface { int64_t deadline_timestamp_ms, const rpc::ClientCallback &callback) = 0; - virtual void CancelTasksWithResourceShapes( + virtual void CancelLeasesWithResourceShapes( const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) = 0; + const rpc::ClientCallback &callback) = 0; virtual void IsLocalWorkerDead( const WorkerID &worker_id, @@ -240,25 +240,25 @@ class RayletClient : public RayletClientInterface { std::shared_ptr GetChannel() const override; void RequestWorkerLease( - const rpc::TaskSpec &resource_spec, + const rpc::LeaseSpec &lease_spec, bool grant_or_reject, const ray::rpc::ClientCallback &callback, const int64_t backlog_size, const bool is_selected_based_on_locality) override; - ray::Status ReturnWorker(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override; + ray::Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override; void PrestartWorkers( const ray::rpc::PrestartWorkersRequest &request, const ray::rpc::ClientCallback &callback) override; - void GetTaskFailureCause( - const TaskID &task_id, - const ray::rpc::ClientCallback &callback) + void GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) override; void RegisterMutableObjectReader( @@ -285,7 +285,7 @@ class RayletClient : public RayletClientInterface { const rpc::ClientCallback &callback) override; void CancelWorkerLease( - const TaskID &task_id, + const LeaseID &lease_id, const rpc::ClientCallback &callback) override; void PrepareBundleResources( @@ -323,9 +323,9 @@ class RayletClient : public RayletClientInterface { int64_t deadline_timestamp_ms, const rpc::ClientCallback &callback) override; - void CancelTasksWithResourceShapes( + void CancelLeasesWithResourceShapes( const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) + const rpc::ClientCallback &callback) override; void IsLocalWorkerDead( diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/rpc/node_manager/node_manager_client.h index 7f119f2db8af..7d8d05df8232 100644 --- a/src/ray/rpc/node_manager/node_manager_client.h +++ b/src/ray/rpc/node_manager/node_manager_client.h @@ -81,7 +81,7 @@ class NodeManagerClient { /*method_timeout_ms*/ -1, ) VOID_RPC_CLIENT_METHOD(NodeManagerService, - CancelTasksWithResourceShapes, + CancelLeasesWithResourceShapes, grpc_client_, /*method_timeout_ms*/ -1, ) @@ -106,7 +106,7 @@ class NodeManagerClient { /*method_timeout_ms*/ -1, ) VOID_RPC_CLIENT_METHOD(NodeManagerService, - ReturnWorker, + ReturnWorkerLease, grpc_client_, /*method_timeout_ms*/ -1, ) @@ -177,7 +177,7 @@ class NodeManagerClient { /*method_timeout_ms*/ -1, ) VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetTaskFailureCause, + GetWorkerFailureCause, grpc_client_, /*method_timeout_ms*/ -1, ) diff --git a/src/ray/rpc/node_manager/node_manager_server.h b/src/ray/rpc/node_manager/node_manager_server.h index 7e0a726832e4..d8b2a781a151 100644 --- a/src/ray/rpc/node_manager/node_manager_server.h +++ b/src/ray/rpc/node_manager/node_manager_server.h @@ -31,32 +31,32 @@ namespace rpc { RPC_SERVICE_HANDLER_CUSTOM_AUTH(NodeManagerService, METHOD, -1, AuthType::NO_AUTH) /// NOTE: See src/ray/core_worker/core_worker.h on how to add a new grpc handler. -#define RAY_NODE_MANAGER_RPC_HANDLERS \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetResourceLoad) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelTasksWithResourceShapes) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(NotifyGCSRestart) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(RequestWorkerLease) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PrestartWorkers) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReportWorkerBacklog) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReturnWorker) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReleaseUnusedActorWorkers) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelWorkerLease) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PinObjectIDs) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetNodeStats) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GlobalGC) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(FormatGlobalMemoryInfo) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PrepareBundleResources) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CommitBundleResources) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelResourceReserve) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ResizeLocalResourceInstances) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReleaseUnusedBundles) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetSystemConfig) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(IsLocalWorkerDead) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ShutdownRaylet) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(DrainRaylet) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetObjectsInfo) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetTaskFailureCause) \ - RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(RegisterMutableObject) \ +#define RAY_NODE_MANAGER_RPC_HANDLERS \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetResourceLoad) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelLeasesWithResourceShapes) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(NotifyGCSRestart) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(RequestWorkerLease) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PrestartWorkers) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReportWorkerBacklog) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReturnWorkerLease) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReleaseUnusedActorWorkers) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelWorkerLease) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PinObjectIDs) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetNodeStats) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GlobalGC) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(FormatGlobalMemoryInfo) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PrepareBundleResources) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CommitBundleResources) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(CancelResourceReserve) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ResizeLocalResourceInstances) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ReleaseUnusedBundles) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetSystemConfig) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(IsLocalWorkerDead) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(ShutdownRaylet) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(DrainRaylet) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetObjectsInfo) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(GetWorkerFailureCause) \ + RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(RegisterMutableObject) \ RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(PushMutableObject) /// Interface of the `NodeManagerService`, see `src/ray/protobuf/node_manager.proto`. @@ -77,9 +77,9 @@ class NodeManagerServiceHandler { rpc::GetResourceLoadReply *reply, rpc::SendReplyCallback send_reply_callback) = 0; - virtual void HandleCancelTasksWithResourceShapes( - rpc::CancelTasksWithResourceShapesRequest request, - rpc::CancelTasksWithResourceShapesReply *reply, + virtual void HandleCancelLeasesWithResourceShapes( + rpc::CancelLeasesWithResourceShapesRequest request, + rpc::CancelLeasesWithResourceShapesReply *reply, rpc::SendReplyCallback send_reply_callback) = 0; virtual void HandleNotifyGCSRestart(rpc::NotifyGCSRestartRequest request, @@ -98,9 +98,9 @@ class NodeManagerServiceHandler { ReportWorkerBacklogReply *reply, SendReplyCallback send_reply_callback) = 0; - virtual void HandleReturnWorker(ReturnWorkerRequest request, - ReturnWorkerReply *reply, - SendReplyCallback send_reply_callback) = 0; + virtual void HandleReturnWorkerLease(ReturnWorkerLeaseRequest request, + ReturnWorkerLeaseReply *reply, + SendReplyCallback send_reply_callback) = 0; virtual void HandleReleaseUnusedActorWorkers(ReleaseUnusedActorWorkersRequest request, ReleaseUnusedActorWorkersReply *reply, @@ -170,9 +170,9 @@ class NodeManagerServiceHandler { GetObjectsInfoReply *reply, SendReplyCallback send_reply_callback) = 0; - virtual void HandleGetTaskFailureCause(GetTaskFailureCauseRequest request, - GetTaskFailureCauseReply *reply, - SendReplyCallback send_reply_callback) = 0; + virtual void HandleGetWorkerFailureCause(GetWorkerFailureCauseRequest request, + GetWorkerFailureCauseReply *reply, + SendReplyCallback send_reply_callback) = 0; virtual void HandleRegisterMutableObject(RegisterMutableObjectRequest request, RegisterMutableObjectReply *reply, diff --git a/src/ray/util/logging.h b/src/ray/util/logging.h index 040a609f9722..405d772b57ef 100644 --- a/src/ray/util/logging.h +++ b/src/ray/util/logging.h @@ -104,6 +104,7 @@ inline constexpr std::string_view kLogKeyActorID = "actor_id"; inline constexpr std::string_view kLogKeyTaskID = "task_id"; inline constexpr std::string_view kLogKeyObjectID = "object_id"; inline constexpr std::string_view kLogKeyPlacementGroupID = "placement_group_id"; +inline constexpr std::string_view kLogKeyLeaseID = "lease_id"; // Define your specialization DefaultLogKey::key to get .WithField(t) // See src/ray/common/id.h From dd22ad838b84a1306aa73313ab719eba94f0a855 Mon Sep 17 00:00:00 2001 From: Yicheng-Lu-llll <51814063+Yicheng-Lu-llll@users.noreply.github.com> Date: Thu, 28 Aug 2025 21:19:18 -0700 Subject: [PATCH 0948/1566] [3/n] IPv6 support: Add Cython bindings for network utility functions (#55443) Signed-off-by: Yicheng-Lu-llll Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_common/network_utils.py | 25 ++------ .../ray/_common/tests/test_network_utils.py | 60 +------------------ python/ray/_raylet.pyx | 32 +++++----- .../modules/reporter/tests/test_reporter.py | 6 ++ python/ray/includes/array.pxd | 6 ++ python/ray/includes/network_util.pxd | 9 +++ python/ray/includes/network_util.pxi | 47 +++++++++++++++ python/ray/serve/_private/controller.py | 3 + 8 files changed, 93 insertions(+), 95 deletions(-) create mode 100644 python/ray/includes/array.pxd create mode 100644 python/ray/includes/network_util.pxd create mode 100644 python/ray/includes/network_util.pxi diff --git a/python/ray/_common/network_utils.py b/python/ray/_common/network_utils.py index 952559142398..9664c53a94a2 100644 --- a/python/ray/_common/network_utils.py +++ b/python/ray/_common/network_utils.py @@ -1,5 +1,8 @@ from typing import Optional, Tuple, Union +from ray._raylet import build_address as _build_address +from ray._raylet import parse_address as _parse_address + def parse_address(address: str) -> Optional[Tuple[str, str]]: """Parse a network address string into host and port. @@ -10,21 +13,7 @@ def parse_address(address: str) -> Optional[Tuple[str, str]]: Returns: Tuple with (host, port) if port found, None if no colon separator. """ - pos = address.rfind(":") - if pos == -1: - return None - - host = address[:pos] - port = address[pos + 1 :] - - if ":" in host: - if host.startswith("[") and host.endswith("]"): - host = host[1:-1] - else: - # Invalid IPv6 (missing brackets) or colon is part of the address, not a host:port split. - return None - - return (host, port) + return _parse_address(address) def build_address(host: str, port: Union[int, str]) -> str: @@ -37,11 +26,7 @@ def build_address(host: str, port: Union[int, str]) -> str: Returns: Formatted address string (e.g., "localhost:8000" or "[::1]:8000"). """ - if host is not None and ":" in host: - # IPv6 address - return f"[{host}]:{port}" - # IPv4 address or hostname - return f"{host}:{port}" + return _build_address(host, port) def is_localhost(host: str) -> bool: diff --git a/python/ray/_common/tests/test_network_utils.py b/python/ray/_common/tests/test_network_utils.py index 98b070cf7b6c..347eed26055a 100644 --- a/python/ray/_common/tests/test_network_utils.py +++ b/python/ray/_common/tests/test_network_utils.py @@ -1,7 +1,7 @@ import pytest import sys -from ray._common.network_utils import parse_address, build_address, is_localhost +from ray._common.network_utils import is_localhost def test_is_localhost(): @@ -12,63 +12,5 @@ def test_is_localhost(): assert not is_localhost("2001:db8::1") -@pytest.mark.parametrize( - "host,port,expected", - [ - # IPv4 - ("192.168.1.1", 8080, "192.168.1.1:8080"), - ("192.168.1.1", "8080", "192.168.1.1:8080"), - # IPv6 - ("::1", 8080, "[::1]:8080"), - ("::1", "8080", "[::1]:8080"), - ("2001:db8::1", 8080, "[2001:db8::1]:8080"), - ("2001:db8::1", "8080", "[2001:db8::1]:8080"), - # Hostname - ("localhost", 9000, "localhost:9000"), - ("localhost", "9000", "localhost:9000"), - ], -) -def test_build_address(host, port, expected): - """Test cases for build_address function, matching C++ tests exactly.""" - result = build_address(host, port) - assert result == expected - - -@pytest.mark.parametrize( - "address,expected", - [ - # IPv4 - ("192.168.1.1:8080", ("192.168.1.1", "8080")), - # IPv6:loopback address - ("[::1]:8080", ("::1", "8080")), - # IPv6 - ("[2001:db8::1]:8080", ("2001:db8::1", "8080")), - # Hostname:Port - ("localhost:9000", ("localhost", "9000")), - ], -) -def test_parse_valid_addresses(address, expected): - """Test cases for parse_address function, matching C++ tests exactly.""" - result = parse_address(address) - assert result == expected - - -@pytest.mark.parametrize( - "address", - [ - # bare IP or hostname - # should return None when no port is found - "::1", - "2001:db8::1", - "192.168.1.1", - "localhost", - ], -) -def test_parse_bare_addresses(address): - """Test parsing bare addresses returns None.""" - result = parse_address(address) - assert result is None - - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 4b4ce13e0205..5765d272a115 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -184,6 +184,22 @@ from ray.includes.optional cimport ( optional, nullopt ) +cimport cpython + +include "includes/network_util.pxi" +include "includes/object_ref.pxi" +include "includes/unique_ids.pxi" +include "includes/ray_config.pxi" +include "includes/function_descriptor.pxi" +include "includes/buffer.pxi" +include "includes/common.pxi" +include "includes/gcs_client.pxi" +include "includes/serialization.pxi" +include "includes/libcoreworker.pxi" +include "includes/global_state_accessor.pxi" +include "includes/metric.pxi" +include "includes/setproctitle.pxi" + import ray from ray.exceptions import ( RayActorError, @@ -230,25 +246,9 @@ import ray._private.profiling as profiling from ray._common.utils import decode from ray._private.utils import DeferSigint from ray._private.object_ref_generator import DynamicObjectRefGenerator -from ray._common.network_utils import build_address, parse_address from ray.util.annotations import PublicAPI from ray._private.custom_types import TensorTransportEnum -cimport cpython - -include "includes/object_ref.pxi" -include "includes/unique_ids.pxi" -include "includes/ray_config.pxi" -include "includes/function_descriptor.pxi" -include "includes/buffer.pxi" -include "includes/common.pxi" -include "includes/gcs_client.pxi" -include "includes/serialization.pxi" -include "includes/libcoreworker.pxi" -include "includes/global_state_accessor.pxi" -include "includes/metric.pxi" -include "includes/setproctitle.pxi" - # Expose GCC & Clang macro to report # whether C++ optimizations were enabled during compilation. OPTIMIZED = __OPTIMIZE__ diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 58fd949584a7..658b23dfa9ee 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -313,6 +313,7 @@ def test_worker_stats(): def test_report_stats(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) # Assume it is a head node. agent._is_head_node = True @@ -374,6 +375,7 @@ def test_report_stats(): def test_report_stats_gpu(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) # Assume it is a head node. agent._is_head_node = True @@ -494,6 +496,7 @@ def test_report_stats_gpu(): def test_report_per_component_stats_gpu(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) # Assume it is a head node. agent._is_head_node = True @@ -857,6 +860,7 @@ def create_mock_worker_processes(): def test_get_tpu_usage(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) fake_metrics_content = """ @@ -913,6 +917,7 @@ def test_get_tpu_usage(): def test_report_stats_tpu(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) STATS_TEMPLATE["tpus"] = [ @@ -985,6 +990,7 @@ def test_report_stats_tpu(): def test_report_per_component_stats(): dashboard_agent = MagicMock() + dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) agent = ReporterAgent(dashboard_agent) # Assume it is a head node. agent._is_head_node = True diff --git a/python/ray/includes/array.pxd b/python/ray/includes/array.pxd new file mode 100644 index 000000000000..a6ce5e135a70 --- /dev/null +++ b/python/ray/includes/array.pxd @@ -0,0 +1,6 @@ +from libc.stddef cimport size_t +from libcpp.string cimport string + +cdef extern from "" namespace "std": + cdef cppclass array_string_2 "std::array": + string& operator[](size_t) except + diff --git a/python/ray/includes/network_util.pxd b/python/ray/includes/network_util.pxd new file mode 100644 index 000000000000..df4f8cb9d18d --- /dev/null +++ b/python/ray/includes/network_util.pxd @@ -0,0 +1,9 @@ +from libc.stddef cimport size_t +from libcpp.string cimport string +from ray.includes.array cimport array_string_2 +from ray.includes.optional cimport optional + +cdef extern from "ray/util/network_util.h" namespace "ray": + optional[array_string_2] ParseAddress(const string &address) + string BuildAddress(const string &host, const string &port) + string BuildAddress(const string &host, int port) diff --git a/python/ray/includes/network_util.pxi b/python/ray/includes/network_util.pxi new file mode 100644 index 000000000000..27e330eeace4 --- /dev/null +++ b/python/ray/includes/network_util.pxi @@ -0,0 +1,47 @@ +from ray.includes.network_util cimport ( + BuildAddress, + ParseAddress, + array_string_2, + optional, +) +from libcpp.string cimport string +from typing import Optional, Tuple, Union + +def parse_address(address: str) -> Optional[Tuple[str, str]]: + """Parse a network address string into host and port. + + Args: + address: The address string to parse (e.g., "localhost:8000", "[::1]:8000"). + + Returns: + Tuple with (host, port) if port found, None if no colon separator. + """ + cdef optional[array_string_2] res = ParseAddress(address.encode('utf-8')) + if not res.has_value(): + return None + + cdef array_string_2 ip_port = res.value() + return (ip_port[0].decode('utf-8'), ip_port[1].decode('utf-8')) + + +def build_address(host: str, port: Union[int, str]) -> str: + """Build a network address string from host and port. + + Args: + host: The hostname or IP address. + port: The port number (int or string). + + Returns: + Formatted address string (e.g., "localhost:8000" or "[::1]:8000"). + """ + cdef string host_c = host.encode('utf-8') + cdef string result + cdef string port_c + + if isinstance(port, int): + result = BuildAddress(host_c, port) + else: + port_c = str(port).encode('utf-8') + result = BuildAddress(host_c, port_c) + + return result.decode('utf-8') diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 3caad988f715..5d53906cecf5 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -652,6 +652,9 @@ def get_root_url(self): if SERVE_ROOT_URL_ENV_KEY in os.environ: return os.environ[SERVE_ROOT_URL_ENV_KEY] else: + # HTTP is disabled + if http_config.host is None: + return "" return ( f"http://{build_address(http_config.host, http_config.port)}" f"{http_config.root_path}" From 3cba6c7d26c759f4f8f0c7be2e643852f9e97005 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 28 Aug 2025 21:24:24 -0700 Subject: [PATCH 0949/1566] [core] Fix windows build wshadow (#56060) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- bazel/ray.bzl | 1 + 1 file changed, 1 insertion(+) diff --git a/bazel/ray.bzl b/bazel/ray.bzl index f2215880338b..0fda67ebd6d0 100644 --- a/bazel/ray.bzl +++ b/bazel/ray.bzl @@ -26,6 +26,7 @@ COPTS_TESTS = select({ }) COPTS = COPTS_TESTS + select({ + "@platforms//os:windows": [""], "//conditions:default": ["-Wshadow"], }) From 58fc7a7bccf2c70c13ba83ad666bec8e49d46738 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Fri, 29 Aug 2025 00:03:33 -0700 Subject: [PATCH 0950/1566] [core] Fixing build failure due to LeaseID change (#56071) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 4ff406b335e5..45b348dba6e8 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -397,7 +397,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", - "//src/ray/raylet/scheduling:cluster_task_manager", + "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:node_manager_client", From 1eb48efa17dd1e7e55a394054aaf9bf62a1e4a12 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Fri, 29 Aug 2025 09:06:24 -0700 Subject: [PATCH 0951/1566] [Data] Fix flakey test_operators (#56028) Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_operators.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index 7f46d75d6dc8..92e5f0ab5741 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -139,7 +139,9 @@ def dummy_all_transform(bundles: List[RefBundle], ctx): # Check we return transformed bundles. assert not op.completed() - assert _take_outputs(op) == [[1, 2], [3, 4]] + outputs = _take_outputs(op) + expected = [[1, 2], [3, 4]] + assert sorted(outputs) == expected, f"Expected {expected}, got {outputs}" stats = op.get_stats() assert "FooStats" in stats assert op.completed() @@ -515,7 +517,9 @@ def test_map_operator_ray_args(shutdown_only, use_actors): run_op_tasks_sync(op) # Check we don't hang and complete with num_gpus=1. - assert _take_outputs(op) == [[i * 2] for i in range(10)] + outputs = _take_outputs(op) + expected = [[i * 2] for i in range(10)] + assert sorted(outputs) == expected, f"Expected {expected}, got {outputs}" assert op.completed() From ab0843157f9d0f74e799b58f8867852ce1cad956 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 30 Aug 2025 01:31:01 +0800 Subject: [PATCH 0952/1566] [DOC][Cluster] Fix typos and grammar issues in cluster documentation (#56065) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- doc/source/cluster/configure-manage-dashboard.md | 6 +++--- doc/source/cluster/faq.rst | 6 +++--- doc/source/cluster/kubernetes/examples.md | 2 +- .../examples/distributed-checkpointing-with-gcsfuse.md | 2 +- doc/source/cluster/kubernetes/troubleshooting.md | 2 +- .../cluster/kubernetes/troubleshooting/troubleshooting.md | 4 ++-- doc/source/cluster/package-overview.rst | 2 +- .../cluster/vms/user-guides/launching-clusters/azure.md | 2 +- 8 files changed, 13 insertions(+), 13 deletions(-) diff --git a/doc/source/cluster/configure-manage-dashboard.md b/doc/source/cluster/configure-manage-dashboard.md index b14476ab5f3b..1e996e6b0e5a 100644 --- a/doc/source/cluster/configure-manage-dashboard.md +++ b/doc/source/cluster/configure-manage-dashboard.md @@ -2,7 +2,7 @@ # Configuring and Managing Ray Dashboard {ref}`Ray Dashboard` is one of the most important tools to monitor and debug Ray applications and Clusters. This page describes how to configure Ray Dashboard on your Clusters. -Dashboard configurations may differ depending on how you launch Ray Clusters (e.g., local Ray Cluster v.s. KubeRay). Integrations with Prometheus and Grafana are optional for enhanced Dashboard experience. +Dashboard configurations may differ depending on how you launch Ray Clusters (e.g., local Ray Cluster vs. KubeRay). Integrations with Prometheus and Grafana are optional for enhanced Dashboard experience. :::{note} Ray Dashboard is useful for interactive development and debugging because when clusters terminate, the dashboard UI and the underlying data are no longer accessible. For production monitoring and debugging, you should rely on [persisted logs](../cluster/kubernetes/user-guides/persist-kuberay-custom-resource-logs.md), [persisted metrics](./metrics.md), [persisted Ray states](../ray-observability/user-guides/cli-sdk.rst), and other observability tools. @@ -135,7 +135,7 @@ The Ray Dashboard provides read **and write** access to the Ray Cluster. The rev Dashboard is included if you use `ray[default]` or {ref}`other installation commands ` and automatically started. -To disable Dashboard, use the following arguments `--include-dashboard`. +To disable the Dashboard, use the `--include-dashboard` argument. ::::{tab-set} @@ -267,7 +267,7 @@ If you have followed the instructions above to set up everything, run the connec ##### Getting an error that says `RAY_GRAFANA_HOST` is not setup -If you have set up Grafana , check that: +If you have set up Grafana, check that: * You've included the protocol in the URL (e.g., `http://your-grafana-url.com` instead of `your-grafana-url.com`). * The URL doesn't have a trailing slash (e.g., `http://your-grafana-url.com` instead of `http://your-grafana-url.com/`). diff --git a/doc/source/cluster/faq.rst b/doc/source/cluster/faq.rst index 19be814cdd81..64f6526415b3 100644 --- a/doc/source/cluster/faq.rst +++ b/doc/source/cluster/faq.rst @@ -43,7 +43,7 @@ connect. Use this command: .. code:: bash - ray start --head --node-ip-address xx.xx.xx.xx --port nnnn`` + ray start --head --node-ip-address xx.xx.xx.xx --port nnnn Then when starting the worker node, use this command to connect to the head node: @@ -66,8 +66,8 @@ debugging routing issues. You may also see failures in the log like: - This node has an IP address of xx.xx.xx.xx, while we can not found the - matched Raylet address. This maybe come from when you connect the Ray + This node has an IP address of xx.xx.xx.xx, while we cannot find the + matched Raylet address. This may come from when you connect the Ray cluster with a different IP address or connect a container. The cause of this error may be the head node overloading with too many simultaneous diff --git a/doc/source/cluster/kubernetes/examples.md b/doc/source/cluster/kubernetes/examples.md index 4e683a784a1f..167a1362b221 100644 --- a/doc/source/cluster/kubernetes/examples.md +++ b/doc/source/cluster/kubernetes/examples.md @@ -31,7 +31,7 @@ This section presents example Ray workloads to try out on your Kubernetes cluste - {ref}`kuberay-batch-inference-example` - {ref}`kuberay-kueue-priority-scheduling-example` - {ref}`kuberay-kueue-gang-scheduling-example` -- {ref}`kuberay-distributed-checkpointing-gcsefuse` +- {ref}`kuberay-distributed-checkpointing-gcsfuse` - {ref}`kuberay-modin-example` - {ref}`kuberay-rayservice-llm-example` - {ref}`kuberay-rayservice-deepseek-example` diff --git a/doc/source/cluster/kubernetes/examples/distributed-checkpointing-with-gcsfuse.md b/doc/source/cluster/kubernetes/examples/distributed-checkpointing-with-gcsfuse.md index fceabc555b8b..19fe6572df6a 100644 --- a/doc/source/cluster/kubernetes/examples/distributed-checkpointing-with-gcsfuse.md +++ b/doc/source/cluster/kubernetes/examples/distributed-checkpointing-with-gcsfuse.md @@ -1,4 +1,4 @@ -(kuberay-distributed-checkpointing-gcsefuse)= +(kuberay-distributed-checkpointing-gcsfuse)= # Distributed checkpointing with KubeRay and GCSFuse diff --git a/doc/source/cluster/kubernetes/troubleshooting.md b/doc/source/cluster/kubernetes/troubleshooting.md index 5bf2257b44f5..b3525993ee88 100644 --- a/doc/source/cluster/kubernetes/troubleshooting.md +++ b/doc/source/cluster/kubernetes/troubleshooting.md @@ -9,5 +9,5 @@ troubleshooting/troubleshooting troubleshooting/rayservice-troubleshooting ``` -- {ref}`kuberay-troubleshootin-guides` +- {ref}`kuberay-troubleshooting-guides` - {ref}`kuberay-raysvc-troubleshoot` diff --git a/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md b/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md index f381efe16567..7ec4279f6f81 100644 --- a/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md +++ b/doc/source/cluster/kubernetes/troubleshooting/troubleshooting.md @@ -1,4 +1,4 @@ -(kuberay-troubleshootin-guides)= +(kuberay-troubleshooting-guides)= # Troubleshooting guide @@ -29,7 +29,7 @@ When a Ray job is created, the Ray dashboard agent process on the head node gets (docker-image-for-apple-macbooks)= ## Use ARM-based docker images for Apple M1 or M2 MacBooks -Ray builds different images for different platforms. Until Ray moves to building multi-architecture images, [tracked by this Github issue](https://github.com/ray-project/ray/issues/39364), use platform-specific docker images in the head and worker group specs of the [RayCluster config](https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#image). +Ray builds different images for different platforms. Until Ray moves to building multi-architecture images, [tracked by this GitHub issue](https://github.com/ray-project/ray/issues/39364), use platform-specific docker images in the head and worker group specs of the [RayCluster config](https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#image). Use an image with the tag `aarch64`, for example, `image: rayproject/ray:2.41.0-aarch64`), if you are running KubeRay on a MacBook M1 or M2. diff --git a/doc/source/cluster/package-overview.rst b/doc/source/cluster/package-overview.rst index 1aef16167d64..b79b5488d242 100644 --- a/doc/source/cluster/package-overview.rst +++ b/doc/source/cluster/package-overview.rst @@ -4,7 +4,7 @@ Ray Cluster Management API ========================== This section contains a reference for the cluster management API. If there is anything missing, please open an issue -on `Github`_. +on `GitHub`_. .. _`GitHub`: https://github.com/ray-project/ray/issues diff --git a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md index 638b66dfb740..37242aeb3bd7 100644 --- a/doc/source/cluster/vms/user-guides/launching-clusters/azure.md +++ b/doc/source/cluster/vms/user-guides/launching-clusters/azure.md @@ -8,7 +8,7 @@ There are two ways to start an Azure Ray cluster. - Deploy a cluster using Azure portal. ```{note} -The Azure integration is community-maintained. Please reach out to the integration maintainers on Github if +The Azure integration is community-maintained. Please reach out to the integration maintainers on GitHub if you run into any problems: gramhagen, eisber, ijrsvt. ``` From d33a6418cf06491ca8783e987a906481720c23d3 Mon Sep 17 00:00:00 2001 From: Ping Date: Sat, 30 Aug 2025 04:29:52 +0800 Subject: [PATCH 0953/1566] [Core] store clients to return void instead of Status::OK (#55663) Signed-off-by: 400Ping Signed-off-by: Ping Signed-off-by: Dhyey Shah Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- .../gcs/store_client/in_memory_store_client.h | 20 +- .../ray/gcs/store_client/redis_store_client.h | 22 +- src/mock/ray/gcs/store_client/store_client.h | 20 +- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 49 ++- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 23 +- src/ray/gcs/gcs_server/gcs_init_data.cc | 39 +-- src/ray/gcs/gcs_server/gcs_job_manager.cc | 25 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 22 +- .../gcs_server/gcs_placement_group_manager.cc | 40 +-- .../gcs_placement_group_scheduler.cc | 6 +- src/ray/gcs/gcs_server/gcs_table_storage.cc | 83 +++-- src/ray/gcs/gcs_server/gcs_table_storage.h | 51 ++- src/ray/gcs/gcs_server/gcs_worker_manager.cc | 47 +-- src/ray/gcs/gcs_server/store_client_kv.cc | 53 ++- .../tests/gcs_actor_scheduler_mock_test.cc | 4 +- .../tests/gcs_actor_scheduler_test.cc | 10 +- .../gcs_placement_group_manager_mock_test.cc | 6 +- .../tests/gcs_placement_group_manager_test.cc | 13 +- .../tests/gcs_table_storage_test_base.h | 12 +- .../store_client/in_memory_store_client.cc | 48 +-- .../gcs/store_client/in_memory_store_client.h | 46 +-- .../store_client/observable_store_client.cc | 106 +++--- .../store_client/observable_store_client.h | 46 +-- .../gcs/store_client/redis_store_client.cc | 75 ++-- src/ray/gcs/store_client/redis_store_client.h | 52 +-- src/ray/gcs/store_client/store_client.h | 54 ++- .../tests/redis_store_client_test.cc | 328 ++++++++---------- .../tests/store_client_test_base.h | 36 +- 28 files changed, 606 insertions(+), 730 deletions(-) diff --git a/src/mock/ray/gcs/store_client/in_memory_store_client.h b/src/mock/ray/gcs/store_client/in_memory_store_client.h index 51bebc607e02..16a7a5cab895 100644 --- a/src/mock/ray/gcs/store_client/in_memory_store_client.h +++ b/src/mock/ray/gcs/store_client/in_memory_store_client.h @@ -17,64 +17,64 @@ namespace gcs { class MockInMemoryStoreClient : public InMemoryStoreClient { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncPut, (const std::string &table_name, const std::string &key, - const std::string &data, + std::string data, bool overwrite, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const std::string &table_name, const std::string &key, ToPostable> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const std::string &table_name, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncMultiGet, (const std::string &table_name, const std::vector &keys, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncDelete, (const std::string &table_name, const std::string &key, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncBatchDelete, (const std::string &table_name, const std::vector &keys, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetKeys, (const std::string &table_name, const std::string &prefix, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncExists, (const std::string &table_name, const std::string &key, Postable callback), (override)); - MOCK_METHOD(Status, AsyncGetNextJobID, (Postable callback), (override)); + MOCK_METHOD(void, AsyncGetNextJobID, (Postable callback), (override)); }; } // namespace gcs diff --git a/src/mock/ray/gcs/store_client/redis_store_client.h b/src/mock/ray/gcs/store_client/redis_store_client.h index a0fc20272f9c..7a73e5b045dd 100644 --- a/src/mock/ray/gcs/store_client/redis_store_client.h +++ b/src/mock/ray/gcs/store_client/redis_store_client.h @@ -17,52 +17,52 @@ namespace gcs { class MockStoreClient : public StoreClient { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncPut, (const std::string &table_name, const std::string &key, - const std::string &data, + std::string data, bool overwrite, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const std::string &table_name, const std::string &key, ToPostable> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const std::string &table_name, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncMultiGet, (const std::string &table_name, - const std::vector &key, + const std::vector &keys, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncDelete, (const std::string &table_name, const std::string &key, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncBatchDelete, (const std::string &table_name, const std::vector &keys, Postable callback), (override)); - MOCK_METHOD(Status, AsyncGetNextJobID, (Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetNextJobID, (Postable callback), (override)); + MOCK_METHOD(void, AsyncGetKeys, (const std::string &table_name, const std::string &prefix, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncExists, (const std::string &table_name, const std::string &key, diff --git a/src/mock/ray/gcs/store_client/store_client.h b/src/mock/ray/gcs/store_client/store_client.h index 9094588f5e37..7a73e5b045dd 100644 --- a/src/mock/ray/gcs/store_client/store_client.h +++ b/src/mock/ray/gcs/store_client/store_client.h @@ -17,7 +17,7 @@ namespace gcs { class MockStoreClient : public StoreClient { public: - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncPut, (const std::string &table_name, const std::string &key, @@ -25,44 +25,44 @@ class MockStoreClient : public StoreClient { bool overwrite, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGet, (const std::string &table_name, const std::string &key, ToPostable> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetAll, (const std::string &table_name, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncMultiGet, (const std::string &table_name, - const std::vector &key, + const std::vector &keys, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncDelete, (const std::string &table_name, const std::string &key, Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncBatchDelete, (const std::string &table_name, const std::vector &keys, Postable callback), (override)); - MOCK_METHOD(Status, AsyncGetNextJobID, (Postable callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncGetNextJobID, (Postable callback), (override)); + MOCK_METHOD(void, AsyncGetKeys, (const std::string &table_name, const std::string &prefix, Postable)> callback), (override)); - MOCK_METHOD(Status, + MOCK_METHOD(void, AsyncExists, (const std::string &table_name, const std::string &key, diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index e2b9b5cbf064..962ab4b8be02 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -529,7 +529,7 @@ void GcsActorManager::HandleGetAllActorInfo(rpc::GetAllActorInfoRequest request, RAY_CHECK(request.show_dead_jobs()); // We don't maintain an in-memory cache of all actors which belong to dead // jobs, so fetch it from redis. - Status status = gcs_table_storage_->ActorTable().GetAll( + gcs_table_storage_->ActorTable().GetAll( {[reply, send_reply_callback, limit, request = std::move(request), filter_fn]( absl::flat_hash_map &&result) { auto total_actors = result.size(); @@ -559,10 +559,6 @@ void GcsActorManager::HandleGetAllActorInfo(rpc::GetAllActorInfoRequest request, RAY_LOG(DEBUG) << "Finished getting all actor info."; }, io_context_}); - if (!status.ok()) { - // Send the response to unblock the sender and free the request. - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); - } } void GcsActorManager::HandleGetNamedActorInfo( @@ -722,11 +718,11 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ } // The backend storage is supposed to be reliable, so the status must be ok. - RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Put( + gcs_table_storage_->ActorTaskSpecTable().Put( actor_id, request.task_spec(), {[this, actor](Status status) { - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor->GetActorID(), *actor->GetMutableActorTableData(), {[this, actor](Status put_status) { @@ -765,9 +761,9 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ } actor_to_register_callbacks_.erase(callback_iter); }, - io_context_})); + io_context_}); }, - io_context_})); + io_context_}); return Status::OK(); } @@ -1044,7 +1040,7 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, auto actor_table_data = std::make_shared(*mutable_actor_table_data); // The backend storage is reliable in the future, so the status must be ok. - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor->GetActorID(), *actor_table_data, {[this, @@ -1059,14 +1055,14 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, gcs_publisher_->PublishActor(actor_id, GenActorDataOnlyWithStates(*actor_table_data)); if (!is_restartable) { - RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Delete( - actor_id, {[](auto) {}, io_context_})); + gcs_table_storage_->ActorTaskSpecTable().Delete(actor_id, + {[](auto) {}, io_context_}); } actor->WriteActorExportEvent(); // Destroy placement group owned by this actor. destroy_owned_placement_group_if_needed_(actor_id); }, - io_context_})); + io_context_}); // Inform all creation callbacks that the actor was cancelled, not created. RunAndClearActorCreationCallbacks( @@ -1288,14 +1284,14 @@ void GcsActorManager::SetPreemptedAndPublish(const NodeID &node_id) { const auto &actor_id = id_iter.second; const auto &actor_table_data = actor_iter->second->GetActorTableData(); - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor_id, actor_table_data, {[this, actor_id, actor_table_data](Status status) { gcs_publisher_->PublishActor(actor_id, GenActorDataOnlyWithStates(actor_table_data)); }, - io_context_})); + io_context_}); } } @@ -1364,7 +1360,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, actor->UpdateAddress(rpc::Address()); mutable_actor_table_data->clear_resource_mapping(); // The backend storage is reliable in the future, so the status must be ok. - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor_id, *mutable_actor_table_data, {[this, actor, actor_id, mutable_actor_table_data, done_callback](Status status) { @@ -1375,7 +1371,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); actor->WriteActorExportEvent(); }, - io_context_})); + io_context_}); gcs_actor_scheduler_->Schedule(actor); } else { actor->UpdateState(rpc::ActorTableData::DEAD); @@ -1385,7 +1381,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, mutable_actor_table_data->set_timestamp(time); // The backend storage is reliable in the future, so the status must be ok. - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor_id, *mutable_actor_table_data, {[this, actor, actor_id, mutable_actor_table_data, death_cause, done_callback]( @@ -1401,11 +1397,11 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, } gcs_publisher_->PublishActor( actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); - RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().Delete( - actor_id, {[](auto) {}, io_context_})); + gcs_table_storage_->ActorTaskSpecTable().Delete(actor_id, + {[](auto) {}, io_context_}); actor->WriteActorExportEvent(); }, - io_context_})); + io_context_}); // The actor is dead, but we should not remove the entry from the // registered actors yet. If the actor is owned, we will destroy the actor // once the owner fails or notifies us that the actor has no references. @@ -1508,7 +1504,7 @@ void GcsActorManager::OnActorCreationSuccess(const std::shared_ptr &ac auto actor_data_only_with_states = GenActorDataOnlyWithStates(*mutable_actor_table_data); // The backend storage is reliable in the future, so the status must be ok. - RAY_CHECK_OK(gcs_table_storage_->ActorTable().Put( + gcs_table_storage_->ActorTable().Put( actor_id, *mutable_actor_table_data, {[this, @@ -1523,7 +1519,7 @@ void GcsActorManager::OnActorCreationSuccess(const std::shared_ptr &ac // actor_to_create_callbacks_. RunAndClearActorCreationCallbacks(actor, reply, Status::OK()); }, - io_context_})); + io_context_}); } void GcsActorManager::SchedulePendingActors() { @@ -1589,8 +1585,8 @@ void GcsActorManager::Initialize(const GcsInitData &gcs_init_data) { } } if (!dead_actors.empty()) { - RAY_CHECK_OK(gcs_table_storage_->ActorTaskSpecTable().BatchDelete( - dead_actors, {[](auto) {}, io_context_})); + gcs_table_storage_->ActorTaskSpecTable().BatchDelete(dead_actors, + {[](auto) {}, io_context_}); } sorted_destroyed_actor_list_.sort([](const std::pair &left, const std::pair &right) { @@ -1730,8 +1726,7 @@ void GcsActorManager::AddDestroyedActorToCache(const std::shared_ptr & if (destroyed_actors_.size() >= RayConfig::instance().maximum_gcs_destroyed_actor_cached_count()) { const auto &actor_id = sorted_destroyed_actor_list_.front().first; - RAY_CHECK_OK( - gcs_table_storage_->ActorTable().Delete(actor_id, {[](auto) {}, io_context_})); + gcs_table_storage_->ActorTable().Delete(actor_id, {[](auto) {}, io_context_}); destroyed_actors_.erase(actor_id); sorted_destroyed_actor_list_.pop_front(); } diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index c8e2aff769dc..a607b94f237f 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -416,18 +416,17 @@ void GcsActorScheduler::HandleWorkerLeaseGrantedReply( // Without this, there could be a possible race condition. Related issues: // https://github.com/ray-project/ray/pull/9215/files#r449469320 worker_client_pool_.GetOrConnect(leased_worker->GetAddress()); - RAY_CHECK_OK(gcs_actor_table_.Put(actor->GetActorID(), - actor->GetActorTableData(), - {[this, actor, leased_worker](Status status) { - RAY_CHECK_OK(status); - if (actor->GetState() == - rpc::ActorTableData::DEAD) { - // Actor has already been killed. - return; - } - CreateActorOnWorker(actor, leased_worker); - }, - io_context_})); + gcs_actor_table_.Put(actor->GetActorID(), + actor->GetActorTableData(), + {[this, actor, leased_worker](Status status) { + RAY_CHECK_OK(status); + if (actor->GetState() == rpc::ActorTableData::DEAD) { + // Actor has already been killed. + return; + } + CreateActorOnWorker(actor, leased_worker); + }, + io_context_}); } } diff --git a/src/ray/gcs/gcs_server/gcs_init_data.cc b/src/ray/gcs/gcs_server/gcs_init_data.cc index 1e33538bf521..1c7ed5389813 100644 --- a/src/ray/gcs/gcs_server/gcs_init_data.cc +++ b/src/ray/gcs/gcs_server/gcs_init_data.cc @@ -44,56 +44,53 @@ void GcsInitData::AsyncLoad(Postable on_done) { void GcsInitData::AsyncLoadJobTableData(Postable on_done) { RAY_LOG(INFO) << "Loading job table data."; - RAY_CHECK_OK(gcs_table_storage_.JobTable().GetAll(std::move(on_done).TransformArg( + gcs_table_storage_.JobTable().GetAll(std::move(on_done).TransformArg( [this](absl::flat_hash_map result) { job_table_data_ = std::move(result); RAY_LOG(INFO) << "Finished loading job table data, size = " << job_table_data_.size(); - }))); + })); } void GcsInitData::AsyncLoadNodeTableData(Postable on_done) { RAY_LOG(INFO) << "Loading node table data."; - RAY_CHECK_OK(gcs_table_storage_.NodeTable().GetAll(std::move(on_done).TransformArg( + gcs_table_storage_.NodeTable().GetAll(std::move(on_done).TransformArg( [this](absl::flat_hash_map result) { node_table_data_ = std::move(result); RAY_LOG(INFO) << "Finished loading node table data, size = " << node_table_data_.size(); - }))); + })); } void GcsInitData::AsyncLoadPlacementGroupTableData(Postable on_done) { RAY_LOG(INFO) << "Loading placement group table data."; - RAY_CHECK_OK( - gcs_table_storage_.PlacementGroupTable().GetAll(std::move(on_done).TransformArg( - [this](absl::flat_hash_map - result) { - placement_group_table_data_ = std::move(result); - RAY_LOG(INFO) << "Finished loading placement group table data, size = " - << placement_group_table_data_.size(); - }))); + gcs_table_storage_.PlacementGroupTable().GetAll(std::move(on_done).TransformArg( + [this](absl::flat_hash_map result) { + placement_group_table_data_ = std::move(result); + RAY_LOG(INFO) << "Finished loading placement group table data, size = " + << placement_group_table_data_.size(); + })); } void GcsInitData::AsyncLoadActorTableData(Postable on_done) { RAY_LOG(INFO) << "Loading actor table data."; - RAY_CHECK_OK(gcs_table_storage_.ActorTable().AsyncRebuildIndexAndGetAll( + gcs_table_storage_.ActorTable().AsyncRebuildIndexAndGetAll( std::move(on_done).TransformArg( [this](absl::flat_hash_map result) { actor_table_data_ = std::move(result); RAY_LOG(INFO) << "Finished loading actor table data, size = " << actor_table_data_.size(); - }))); + })); } void GcsInitData::AsyncLoadActorTaskSpecTableData(Postable on_done) { RAY_LOG(INFO) << "Loading actor task spec table data."; - RAY_CHECK_OK( - gcs_table_storage_.ActorTaskSpecTable().GetAll(std::move(on_done).TransformArg( - [this](absl::flat_hash_map result) -> void { - actor_task_spec_table_data_ = std::move(result); - RAY_LOG(INFO) << "Finished loading actor task spec table data, size = " - << actor_task_spec_table_data_.size(); - }))); + gcs_table_storage_.ActorTaskSpecTable().GetAll(std::move(on_done).TransformArg( + [this](absl::flat_hash_map result) -> void { + actor_task_spec_table_data_ = std::move(result); + RAY_LOG(INFO) << "Finished loading actor task spec table data, size = " + << actor_task_spec_table_data_.size(); + })); } } // namespace gcs diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index ec0e251d5b20..16115389726e 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -130,8 +130,8 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; - RAY_UNUSED(gcs_table_storage_.JobTable().Put( - job_id, mutable_job_table_data, {std::move(on_done), io_context_})); + gcs_table_storage_.JobTable().Put( + job_id, mutable_job_table_data, {std::move(on_done), io_context_}); } void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, @@ -173,11 +173,8 @@ void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, done_callback(status); }; - Status status = - gcs_table_storage_.JobTable().Put(job_id, job_table_data, {on_done, io_context_}); - if (!status.ok()) { - on_done(status); - } + gcs_table_storage_.JobTable().Put( + job_id, job_table_data, {std::move(on_done), io_context_}); } void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, @@ -190,7 +187,7 @@ void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; - Status status = gcs_table_storage_.JobTable().Get( + gcs_table_storage_.JobTable().Get( job_id, {[this, job_id, send_reply](Status get_status, std::optional result) { @@ -211,9 +208,6 @@ void GcsJobManager::HandleMarkJobFinished(rpc::MarkJobFinishedRequest request, send_reply(get_status); }, io_context_}); - if (!status.ok()) { - send_reply(status); - } } void GcsJobManager::ClearJobInfos(const rpc::JobTableData &job_data) { @@ -445,10 +439,7 @@ void GcsJobManager::HandleGetAllJobInfo(rpc::GetAllJobInfoRequest request, "job", job_api_data_keys, {kv_multi_get_callback, io_context_}); } }; - Status status = gcs_table_storage_.JobTable().GetAll({on_done, io_context_}); - if (!status.ok()) { - on_done(absl::flat_hash_map()); - } + gcs_table_storage_.JobTable().GetAll({std::move(on_done), io_context_}); } void GcsJobManager::HandleReportJobError(rpc::ReportJobErrorRequest request, @@ -467,7 +458,7 @@ void GcsJobManager::HandleGetNextJobID(rpc::GetNextJobIDRequest request, reply->set_job_id(job_id); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); }; - RAY_CHECK_OK(gcs_table_storage_.AsyncGetNextJobID({std::move(callback), io_context_})); + gcs_table_storage_.AsyncGetNextJobID({std::move(callback), io_context_}); } std::shared_ptr GcsJobManager::GetJobConfig(const JobID &job_id) const { @@ -499,7 +490,7 @@ void GcsJobManager::OnNodeDead(const NodeID &node_id) { } }; - RAY_CHECK_OK(gcs_table_storage_.JobTable().GetAll({on_done, io_context_})); + gcs_table_storage_.JobTable().GetAll({std::move(on_done), io_context_}); } void GcsJobManager::RecordMetrics() { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index 8a6f6ffbb00c..dbdc5aee78a9 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -115,16 +115,16 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, if (head_nodes.size() == 1) { OnNodeFailure(head_nodes[0], [this, node_id, node_info, on_done = std::move(on_done)]() { - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, node_info, {on_done, io_context_})); + gcs_table_storage_->NodeTable().Put( + node_id, node_info, {on_done, io_context_}); }); } else { - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, node_info, {std::move(on_done), io_context_})); + gcs_table_storage_->NodeTable().Put( + node_id, node_info, {std::move(on_done), io_context_}); } } else { - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, node_info, {std::move(on_done), io_context_})); + gcs_table_storage_->NodeTable().Put( + node_id, node_info, {std::move(on_done), io_context_}); } ++counts_[CountType::REGISTER_NODE_REQUEST]; } @@ -168,8 +168,7 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta); WriteNodeExportEvent(*node); }; - RAY_CHECK_OK( - gcs_table_storage_->NodeTable().Put(node_id, *node, {on_put_done, io_context_})); + gcs_table_storage_->NodeTable().Put(node_id, *node, {on_put_done, io_context_}); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } @@ -469,8 +468,8 @@ void GcsNodeManager::OnNodeFailure( } gcs_publisher_->PublishNodeInfo(node_id, std::move(node_info_delta)); }; - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Put( - node_id, *node, {std::move(on_done), io_context_})); + gcs_table_storage_->NodeTable().Put( + node_id, *node, {std::move(on_done), io_context_}); } else if (node_table_updated_callback != nullptr) { node_table_updated_callback(); } @@ -506,8 +505,7 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { void GcsNodeManager::AddDeadNodeToCache(std::shared_ptr node) { if (dead_nodes_.size() >= RayConfig::instance().maximum_gcs_dead_node_cached_count()) { const auto &node_id = sorted_dead_node_list_.front().first; - RAY_CHECK_OK(gcs_table_storage_->NodeTable().Delete( - node_id, {[](const auto &) {}, io_context_})); + gcs_table_storage_->NodeTable().Delete(node_id, {[](const auto &) {}, io_context_}); dead_nodes_.erase(sorted_dead_node_list_.front().first); sorted_dead_node_list_.pop_front(); } diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc index c213394b923d..19a7fb93d588 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc @@ -133,7 +133,7 @@ void GcsPlacementGroupManager::RegisterPlacementGroup( placement_group); AddToPendingQueue(placement_group); - RAY_CHECK_OK(gcs_table_storage_->PlacementGroupTable().Put( + gcs_table_storage_->PlacementGroupTable().Put( placement_group_id, placement_group->GetPlacementGroupTableData(), {[this, placement_group_id, placement_group](Status status) { @@ -163,7 +163,7 @@ void GcsPlacementGroupManager::RegisterPlacementGroup( return; } }, - io_context_})); + io_context_}); } PlacementGroupID GcsPlacementGroupManager::GetPlacementGroupIDByName( @@ -245,7 +245,7 @@ void GcsPlacementGroupManager::OnPlacementGroupCreationSuccess( // Update states and persists the information. placement_group->UpdateState(rpc::PlacementGroupTableData::CREATED); auto placement_group_id = placement_group->GetPlacementGroupID(); - RAY_CHECK_OK(gcs_table_storage_->PlacementGroupTable().Put( + gcs_table_storage_->PlacementGroupTable().Put( placement_group_id, placement_group->GetPlacementGroupTableData(), {[this, placement_group_id](Status status) { @@ -269,7 +269,7 @@ void GcsPlacementGroupManager::OnPlacementGroupCreationSuccess( placement_group_to_create_callbacks_.erase(pg_to_create_iter); } }, - io_context_})); + io_context_}); lifetime_num_placement_groups_created_++; io_context_.post([this] { SchedulePendingPlacementGroups(); }, "GcsPlacementGroupManager.SchedulePendingPlacementGroups"); @@ -434,7 +434,7 @@ void GcsPlacementGroupManager::RemovePlacementGroup( placement_group->UpdateState(rpc::PlacementGroupTableData::REMOVED); placement_group->GetMutableStats()->set_scheduling_state( rpc::PlacementGroupStats::REMOVED); - RAY_CHECK_OK(gcs_table_storage_->PlacementGroupTable().Put( + gcs_table_storage_->PlacementGroupTable().Put( placement_group->GetPlacementGroupID(), placement_group->GetPlacementGroupTableData(), {[this, on_placement_group_removed, placement_group_id](Status status) { @@ -451,7 +451,7 @@ void GcsPlacementGroupManager::RemovePlacementGroup( } on_placement_group_removed(status); }, - io_context_})); + io_context_}); } void GcsPlacementGroupManager::HandleGetPlacementGroup( @@ -478,11 +478,8 @@ void GcsPlacementGroupManager::HandleGetPlacementGroup( if (it != registered_placement_groups_.end()) { on_done(Status::OK(), it->second->GetPlacementGroupTableData()); } else { - Status status = gcs_table_storage_->PlacementGroupTable().Get( - placement_group_id, {std::move(on_done), io_context_}); - if (!status.ok()) { - on_done(status, std::nullopt); - } + gcs_table_storage_->PlacementGroupTable().Get(placement_group_id, + {std::move(on_done), io_context_}); } ++counts_[CountType::GET_PLACEMENT_GROUP_REQUEST]; } @@ -549,11 +546,7 @@ void GcsPlacementGroupManager::HandleGetAllPlacementGroup( RAY_LOG(DEBUG) << "Finished getting all placement group info."; GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); }; - Status status = - gcs_table_storage_->PlacementGroupTable().GetAll({std::move(on_done), io_context_}); - if (!status.ok()) { - on_done(absl::flat_hash_map()); - } + gcs_table_storage_->PlacementGroupTable().GetAll({std::move(on_done), io_context_}); ++counts_[CountType::GET_ALL_PLACEMENT_GROUP_REQUEST]; } @@ -614,11 +607,8 @@ void GcsPlacementGroupManager::WaitPlacementGroup( } }; - Status status = gcs_table_storage_->PlacementGroupTable().Get( - placement_group_id, {std::move(on_done), io_context_}); - if (!status.ok()) { - on_done(status, std::nullopt); - } + gcs_table_storage_->PlacementGroupTable().Get(placement_group_id, + {std::move(on_done), io_context_}); } else if (iter->second->GetState() == rpc::PlacementGroupTableData::CREATED) { RAY_LOG(DEBUG) << "Placement group is created, placement group id = " << placement_group_id; @@ -710,10 +700,10 @@ void GcsPlacementGroupManager::OnNodeDead(const NodeID &node_id) { iter->second->GetMutableStats()->set_scheduling_state( rpc::PlacementGroupStats::QUEUED); AddToPendingQueue(iter->second, 0); - RAY_CHECK_OK(gcs_table_storage_->PlacementGroupTable().Put( + gcs_table_storage_->PlacementGroupTable().Put( iter->second->GetPlacementGroupID(), iter->second->GetPlacementGroupTableData(), - {[this](Status status) { SchedulePendingPlacementGroups(); }, io_context_})); + {[this](Status status) { SchedulePendingPlacementGroups(); }, io_context_}); } } } @@ -1020,10 +1010,10 @@ bool GcsPlacementGroupManager::RescheduleIfStillHasUnplacedBundles( << placement_group->GetPlacementGroupID(); placement_group->UpdateState(rpc::PlacementGroupTableData::RESCHEDULING); AddToPendingQueue(placement_group, 0); - RAY_CHECK_OK(gcs_table_storage_->PlacementGroupTable().Put( + gcs_table_storage_->PlacementGroupTable().Put( placement_group->GetPlacementGroupID(), placement_group->GetPlacementGroupTableData(), - {[this](Status status) { SchedulePendingPlacementGroups(); }, io_context_})); + {[this](Status status) { SchedulePendingPlacementGroups(); }, io_context_}); return true; } } diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc index 855139ee8e15..68e29aadcc3a 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc @@ -398,16 +398,16 @@ void GcsPlacementGroupScheduler::OnAllBundlePrepareRequestReturned( placement_group->UpdateState(rpc::PlacementGroupTableData::PREPARED); - RAY_CHECK_OK(gcs_table_storage_.PlacementGroupTable().Put( + gcs_table_storage_.PlacementGroupTable().Put( placement_group_id, placement_group->GetPlacementGroupTableData(), {[this, lease_status_tracker, schedule_failure_handler, schedule_success_handler]( - Status status) { + const ray::Status &status) { RAY_CHECK_OK(status); CommitAllBundles( lease_status_tracker, schedule_failure_handler, schedule_success_handler); }, - io_context_})); + io_context_}); } void GcsPlacementGroupScheduler::OnAllBundleCommitRequestReturned( diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.cc b/src/ray/gcs/gcs_server/gcs_table_storage.cc index c3bd5d226ae7..83847884a199 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.cc +++ b/src/ray/gcs/gcs_server/gcs_table_storage.cc @@ -37,24 +37,23 @@ Postable JustOk(Postable callback) { } // namespace template -Status GcsTable::Put(const Key &key, - const Data &value, - Postable callback) { - return store_client_->AsyncPut(table_name_, - key.Binary(), - value.SerializeAsString(), - /*overwrite*/ true, - JustOk(std::move(callback))); +void GcsTable::Put(const Key &key, + const Data &value, + Postable callback) { + store_client_->AsyncPut(table_name_, + key.Binary(), + value.SerializeAsString(), + /*overwrite*/ true, + JustOk(std::move(callback))); } template -Status GcsTable::Get(const Key &key, - Postable)> callback) { +void GcsTable::Get(const Key &key, + Postable)> callback) { // We can't use TransformArg here because we need to return 2 arguments. - return store_client_->AsyncGet( - table_name_, key.Binary(), std::move(callback).Rebind([](auto async_get_callback) { - return [cb = std::move(async_get_callback)](Status status, - std::optional result) { + store_client_->AsyncGet( + table_name_, key.Binary(), std::move(callback).Rebind([](auto cb) { + return [cb = std::move(cb)](Status status, std::optional result) { std::optional value; if (result) { Data data; @@ -67,9 +66,9 @@ Status GcsTable::Get(const Key &key, } template -Status GcsTable::GetAll( +void GcsTable::GetAll( Postable)> callback) { - return store_client_->AsyncGetAll( + store_client_->AsyncGetAll( table_name_, std::move(callback).TransformArg( [](absl::flat_hash_map result) { @@ -85,40 +84,40 @@ Status GcsTable::GetAll( } template -Status GcsTable::Delete(const Key &key, Postable callback) { - return store_client_->AsyncDelete( +void GcsTable::Delete(const Key &key, Postable callback) { + store_client_->AsyncDelete( table_name_, key.Binary(), JustOk(std::move(callback))); } template -Status GcsTable::BatchDelete(const std::vector &keys, - Postable callback) { +void GcsTable::BatchDelete(const std::vector &keys, + Postable callback) { std::vector keys_to_delete; keys_to_delete.reserve(keys.size()); for (auto &key : keys) { keys_to_delete.emplace_back(std::move(key.Binary())); } - return this->store_client_->AsyncBatchDelete( + this->store_client_->AsyncBatchDelete( this->table_name_, keys_to_delete, JustOk(std::move(callback))); } template -Status GcsTableWithJobId::Put(const Key &key, - const Data &value, - Postable callback) { +void GcsTableWithJobId::Put(const Key &key, + const Data &value, + Postable callback) { { absl::MutexLock lock(&mutex_); index_[GetJobIdFromKey(key)].insert(key); } - return this->store_client_->AsyncPut(this->table_name_, - key.Binary(), - value.SerializeAsString(), - /*overwrite*/ true, - JustOk(std::move(callback))); + this->store_client_->AsyncPut(this->table_name_, + key.Binary(), + value.SerializeAsString(), + /*overwrite*/ true, + JustOk(std::move(callback))); } template -Status GcsTableWithJobId::GetByJobId( +void GcsTableWithJobId::GetByJobId( const JobID &job_id, Postable)> callback) { std::vector keys; { @@ -128,7 +127,7 @@ Status GcsTableWithJobId::GetByJobId( keys.push_back(key.Binary()); } } - return this->store_client_->AsyncMultiGet( + this->store_client_->AsyncMultiGet( this->table_name_, keys, std::move(callback).TransformArg( @@ -144,8 +143,8 @@ Status GcsTableWithJobId::GetByJobId( } template -Status GcsTableWithJobId::DeleteByJobId(const JobID &job_id, - Postable callback) { +void GcsTableWithJobId::DeleteByJobId(const JobID &job_id, + Postable callback) { std::vector keys; { absl::MutexLock lock(&mutex_); @@ -154,24 +153,24 @@ Status GcsTableWithJobId::DeleteByJobId(const JobID &job_id, keys.push_back(key); } } - return BatchDelete(keys, std::move(callback)); + BatchDelete(keys, std::move(callback)); } template -Status GcsTableWithJobId::Delete(const Key &key, - Postable callback) { - return BatchDelete({key}, std::move(callback)); +void GcsTableWithJobId::Delete(const Key &key, + Postable callback) { + BatchDelete({key}, std::move(callback)); } template -Status GcsTableWithJobId::BatchDelete(const std::vector &keys, - Postable callback) { +void GcsTableWithJobId::BatchDelete(const std::vector &keys, + Postable callback) { std::vector keys_to_delete; keys_to_delete.reserve(keys.size()); for (auto &key : keys) { keys_to_delete.push_back(key.Binary()); } - return this->store_client_->AsyncBatchDelete( + this->store_client_->AsyncBatchDelete( this->table_name_, keys_to_delete, std::move(callback).TransformArg([this, callback, keys](int64_t) { @@ -186,9 +185,9 @@ Status GcsTableWithJobId::BatchDelete(const std::vector &keys, } template -Status GcsTableWithJobId::AsyncRebuildIndexAndGetAll( +void GcsTableWithJobId::AsyncRebuildIndexAndGetAll( Postable)> callback) { - return this->GetAll(std::move(callback).TransformArg( + this->GetAll(std::move(callback).TransformArg( [this](absl::flat_hash_map result) mutable { absl::MutexLock lock(&this->mutex_); this->index_.clear(); diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.h b/src/ray/gcs/gcs_server/gcs_table_storage.h index 92baeb8f38b4..46f1e8b746dc 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.h +++ b/src/ray/gcs/gcs_server/gcs_table_storage.h @@ -46,38 +46,33 @@ class GcsTable { /// \param key The key that will be written to the table. /// \param value The value of the key that will be written to the table. /// \param callback Callback that will be called after write finishes. - /// \return Status - virtual Status Put(const Key &key, - const Data &value, - Postable callback); + virtual void Put(const Key &key, + const Data &value, + Postable callback); /// Get data from the table asynchronously. /// /// \param key The key to lookup from the table. /// \param callback Callback that will be called after read finishes. - /// \return Status - Status Get(const Key &key, Postable)> callback); + void Get(const Key &key, Postable)> callback); /// Get all data from the table asynchronously. /// /// \param callback Callback that will be called after data has been received. - /// \return Status - Status GetAll(Postable)> callback); + void GetAll(Postable)> callback); /// Delete data from the table asynchronously. /// /// \param key The key that will be deleted from the table. /// \param callback Callback that will be called after delete finishes. - /// \return Status - virtual Status Delete(const Key &key, Postable callback); + virtual void Delete(const Key &key, Postable callback); /// Delete a batch of data from the table asynchronously. /// /// \param keys The batch key that will be deleted from the table. /// \param callback Callback that will be called after delete finishes. - /// \return Status - virtual Status BatchDelete(const std::vector &keys, - Postable callback); + virtual void BatchDelete(const std::vector &keys, + Postable callback); protected: std::string table_name_; @@ -105,43 +100,39 @@ class GcsTableWithJobId : public GcsTable { /// from the key. /// \param value The value of the key that will be written to the table. /// \param callback Callback that will be called after write finishes, whether it - /// succeeds or not. \return Status for issuing the asynchronous write operation. - Status Put(const Key &key, - const Data &value, - Postable callback) override; + /// succeeds or not. + void Put(const Key &key, + const Data &value, + Postable callback) override; /// Get all the data of the specified job id from the table asynchronously. /// /// \param job_id The key to lookup from the table. /// \param callback Callback that will be called after read finishes. - /// \return Status - Status GetByJobId(const JobID &job_id, - Postable)> callback); + void GetByJobId(const JobID &job_id, + Postable)> callback); /// Delete all the data of the specified job id from the table asynchronously. /// /// \param job_id The key that will be deleted from the table. /// \param callback Callback that will be called after delete finishes. - /// \return Status - Status DeleteByJobId(const JobID &job_id, Postable callback); + void DeleteByJobId(const JobID &job_id, Postable callback); /// Delete data and index from the table asynchronously. /// /// \param key The key that will be deleted from the table. /// \param callback Callback that will be called after delete finishes. - /// \return Status - Status Delete(const Key &key, Postable callback) override; + void Delete(const Key &key, Postable callback) override; /// Delete a batch of data and index from the table asynchronously. /// /// \param keys The batch key that will be deleted from the table. /// \param callback Callback that will be called after delete finishes. - /// \return Status - Status BatchDelete(const std::vector &keys, - Postable callback) override; + void BatchDelete(const std::vector &keys, + Postable callback) override; /// Rebuild the index during startup. - Status AsyncRebuildIndexAndGetAll( + void AsyncRebuildIndexAndGetAll( Postable)> callback); protected: @@ -250,9 +241,9 @@ class GcsTableStorage { return *worker_table_; } - Status AsyncGetNextJobID(Postable callback) { + void AsyncGetNextJobID(Postable callback) { RAY_CHECK(store_client_); - return store_client_->AsyncGetNextJobID(std::move(callback)); + store_client_->AsyncGetNextJobID(std::move(callback)); } protected: diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.cc b/src/ray/gcs/gcs_server/gcs_worker_manager.cc index b45e47cf080c..aa13eeda4819 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.cc @@ -105,8 +105,8 @@ void GcsWorkerManager::HandleReportWorkerFailure( // receives the worker registration information first and then the worker failure // message, so we delete the get operation. Related issues: // https://github.com/ray-project/ray/pull/11599 - RAY_UNUSED(gcs_table_storage_.WorkerTable().Put( - worker_id, *worker_failure_data, {std::move(on_done), io_context_})); + gcs_table_storage_.WorkerTable().Put( + worker_id, *worker_failure_data, {std::move(on_done), io_context_}); if (request.worker_failure().exit_type() == rpc::WorkerExitType::SYSTEM_ERROR || request.worker_failure().exit_type() == @@ -197,10 +197,7 @@ void GcsWorkerManager::HandleGetAllWorkerInfo( RAY_LOG(DEBUG) << "Finished getting all worker info."; GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); }; - Status status = gcs_table_storage_.WorkerTable().GetAll({on_done, io_context_}); - if (!status.ok()) { - on_done(absl::flat_hash_map()); - } + gcs_table_storage_.WorkerTable().GetAll({std::move(on_done), io_context_}); } void GcsWorkerManager::HandleAddWorkerInfo(rpc::AddWorkerInfoRequest request, @@ -221,11 +218,7 @@ void GcsWorkerManager::HandleAddWorkerInfo(rpc::AddWorkerInfoRequest request, GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; - Status status = gcs_table_storage_.WorkerTable().Put( - worker_id, *worker_data, {on_done, io_context_}); - if (!status.ok()) { - on_done(status); - } + gcs_table_storage_.WorkerTable().Put(worker_id, *worker_data, {on_done, io_context_}); } void GcsWorkerManager::HandleUpdateWorkerDebuggerPort( @@ -259,19 +252,13 @@ void GcsWorkerManager::HandleUpdateWorkerDebuggerPort( auto worker_data = std::make_shared(); worker_data->CopyFrom(*result); worker_data->set_debugger_port(debugger_port); - Status put_status = gcs_table_storage_.WorkerTable().Put( - worker_id, *worker_data, {on_worker_update_done, io_context_}); - if (!put_status.ok()) { - GCS_RPC_SEND_REPLY(send_reply_callback, reply, put_status); - } + gcs_table_storage_.WorkerTable().Put( + worker_id, *worker_data, {std::move(on_worker_update_done), io_context_}); } }; - Status status = - gcs_table_storage_.WorkerTable().Get(worker_id, {on_worker_get_done, io_context_}); - if (!status.ok()) { - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); - } + gcs_table_storage_.WorkerTable().Get(worker_id, + {std::move(on_worker_get_done), io_context_}); } void GcsWorkerManager::HandleUpdateWorkerNumPausedThreads( @@ -317,19 +304,13 @@ void GcsWorkerManager::HandleUpdateWorkerNumPausedThreads( worker_data->has_num_paused_threads() ? worker_data->num_paused_threads() : 0; worker_data->set_num_paused_threads(current_num_paused_threads + num_paused_threads_delta); - Status put_status = gcs_table_storage_.WorkerTable().Put( - worker_id, *worker_data, {on_worker_update_done, io_context_}); - if (!put_status.ok()) { - GCS_RPC_SEND_REPLY(send_reply_callback, reply, put_status); - } + gcs_table_storage_.WorkerTable().Put( + worker_id, *worker_data, {std::move(on_worker_update_done), io_context_}); } }; - Status status = - gcs_table_storage_.WorkerTable().Get(worker_id, {on_worker_get_done, io_context_}); - if (!status.ok()) { - GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); - } + gcs_table_storage_.WorkerTable().Get(worker_id, + {std::move(on_worker_get_done), io_context_}); } void GcsWorkerManager::AddWorkerDeadListener( @@ -341,7 +322,7 @@ void GcsWorkerManager::AddWorkerDeadListener( void GcsWorkerManager::GetWorkerInfo( const WorkerID &worker_id, Postable)> callback) const { - RAY_CHECK_OK(gcs_table_storage_.WorkerTable().Get( + gcs_table_storage_.WorkerTable().Get( worker_id, std::move(callback).TransformArg( [worker_id](Status status, std::optional data) { @@ -350,7 +331,7 @@ void GcsWorkerManager::GetWorkerInfo( << "Failed to get worker info, status = " << status; } return data; - }))); + })); } } // namespace gcs diff --git a/src/ray/gcs/gcs_server/store_client_kv.cc b/src/ray/gcs/gcs_server/store_client_kv.cc index 6c1fc739073d..1586087246b5 100644 --- a/src/ray/gcs/gcs_server/store_client_kv.cc +++ b/src/ray/gcs/gcs_server/store_client_kv.cc @@ -56,7 +56,7 @@ StoreClientInternalKV::StoreClientInternalKV(std::unique_ptr store_ void StoreClientInternalKV::Get(const std::string &ns, const std::string &key, Postable)> callback) { - RAY_CHECK_OK(delegate_->AsyncGet( + delegate_->AsyncGet( table_name_, MakeKey(ns, key), std::move(callback).TransformArg( @@ -64,7 +64,7 @@ void StoreClientInternalKV::Get(const std::string &ns, std::optional result) -> std::optional { RAY_CHECK(status.ok()) << "Fails to get key from storage " << status; return result; - }))); + })); } void StoreClientInternalKV::MultiGet( @@ -76,20 +76,18 @@ void StoreClientInternalKV::MultiGet( for (const auto &key : keys) { prefixed_keys.emplace_back(MakeKey(ns, key)); } - RAY_CHECK_OK(delegate_->AsyncMultiGet( + delegate_->AsyncMultiGet( table_name_, prefixed_keys, - std::move(callback).TransformArg // < - // absl::flat_hash_map( - // absl::flat_hash_map)> - ([](absl::flat_hash_map before_extract) { - absl::flat_hash_map ret; - ret.reserve(before_extract.size()); - for (auto &&item : std::move(before_extract)) { - ret.emplace(ExtractKey(item.first), std::move(item.second)); - } - return ret; - }))); + std::move(callback).TransformArg( + [](absl::flat_hash_map before_extract) { + absl::flat_hash_map ret; + ret.reserve(before_extract.size()); + for (auto &&item : std::move(before_extract)) { + ret.emplace(ExtractKey(item.first), std::move(item.second)); + } + return ret; + })); } void StoreClientInternalKV::Put(const std::string &ns, @@ -97,8 +95,8 @@ void StoreClientInternalKV::Put(const std::string &ns, std::string value, bool overwrite, Postable callback) { - RAY_CHECK_OK(delegate_->AsyncPut( - table_name_, MakeKey(ns, key), std::move(value), overwrite, std::move(callback))); + delegate_->AsyncPut( + table_name_, MakeKey(ns, key), std::move(value), overwrite, std::move(callback)); } void StoreClientInternalKV::Del(const std::string &ns, @@ -106,17 +104,16 @@ void StoreClientInternalKV::Del(const std::string &ns, bool del_by_prefix, Postable callback) { if (!del_by_prefix) { - RAY_CHECK_OK(delegate_->AsyncDelete( - table_name_, - MakeKey(ns, key), - std::move(callback).TransformArg( - [](bool deleted) -> int64_t { return deleted ? 1 : 0; }))); + delegate_->AsyncDelete(table_name_, + MakeKey(ns, key), + std::move(callback).TransformArg( + [](bool deleted) -> int64_t { return deleted ? 1 : 0; })); return; } instrumented_io_context &io_context = callback.io_context(); - RAY_CHECK_OK(delegate_->AsyncGetKeys( + delegate_->AsyncGetKeys( table_name_, MakeKey(ns, key), {[this, ns, callback = std::move(callback)](auto keys) mutable { @@ -124,23 +121,21 @@ void StoreClientInternalKV::Del(const std::string &ns, std::move(callback).Dispatch("StoreClientInternalKV.Del", 0); return; } - RAY_CHECK_OK( - delegate_->AsyncBatchDelete(table_name_, keys, std::move(callback))); + delegate_->AsyncBatchDelete(table_name_, keys, std::move(callback)); }, - io_context})); + io_context}); } void StoreClientInternalKV::Exists(const std::string &ns, const std::string &key, Postable callback) { - RAY_CHECK_OK( - delegate_->AsyncExists(table_name_, MakeKey(ns, key), std::move(callback))); + delegate_->AsyncExists(table_name_, MakeKey(ns, key), std::move(callback)); } void StoreClientInternalKV::Keys(const std::string &ns, const std::string &prefix, Postable)> callback) { - RAY_CHECK_OK(delegate_->AsyncGetKeys( + delegate_->AsyncGetKeys( table_name_, MakeKey(ns, prefix), std::move(callback).TransformArg([](std::vector keys) { @@ -150,7 +145,7 @@ void StoreClientInternalKV::Keys(const std::string &ns, true_keys.emplace_back(ExtractKey(key)); } return true_keys; - }))); + })); } } // namespace gcs diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index 70e1003cfeae..50208c9ea62a 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -159,8 +159,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { std::unique_ptr> async_put_with_index_cb; // Leasing successfully EXPECT_CALL(*store_client, AsyncPut(_, _, _, _, _)) - .WillOnce( - DoAll(SaveArgToUniquePtr<4>(&async_put_with_index_cb), Return(Status::OK()))); + .WillOnce(DoAll(SaveArgToUniquePtr<4>(&async_put_with_index_cb), + InvokeWithoutArgs([]() {}))); actor_scheduler->ScheduleByRaylet(actor); rpc::RequestWorkerLeaseReply reply; reply.mutable_worker_address()->set_node_id(node_id.Binary()); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 049b7faa42c3..89816e4ca1e3 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -68,12 +68,10 @@ class FakeGcsActorTable : public gcs::GcsActorTable { explicit FakeGcsActorTable(std::shared_ptr store_client) : GcsActorTable(store_client) {} - Status Put(const ActorID &key, - const rpc::ActorTableData &value, - Postable callback) override { - auto status = Status::OK(); - std::move(callback).Post("FakeGcsActorTable.Put", status); - return status; + void Put(const ActorID &key, + const rpc::ActorTableData &value, + Postable callback) override { + std::move(callback).Post("FakeGcsActorTable.Put", Status::OK()); } private: diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc index 07caca6d2a56..4be984192de4 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc @@ -76,7 +76,7 @@ TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityReschedule) { SchedulePgRequest request; std::unique_ptr> put_cb; EXPECT_CALL(*store_client_, AsyncPut(_, _, _, _, _)) - .WillOnce(DoAll(SaveArgToUniquePtr<4>(&put_cb), Return(Status::OK()))); + .WillOnce(DoAll(SaveArgToUniquePtr<4>(&put_cb))); EXPECT_CALL(*gcs_placement_group_scheduler_, ScheduleUnplacedBundles(_)) .WillOnce(DoAll(SaveArg<0>(&request))); auto now = absl::GetCurrentTimeNanos(); @@ -103,7 +103,7 @@ TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityFailed) { SchedulePgRequest request; std::unique_ptr> put_cb; EXPECT_CALL(*store_client_, AsyncPut(_, _, _, _, _)) - .WillOnce(DoAll(SaveArgToUniquePtr<4>(&put_cb), Return(Status::OK()))); + .WillOnce(DoAll(SaveArgToUniquePtr<4>(&put_cb))); EXPECT_CALL(*gcs_placement_group_scheduler_, ScheduleUnplacedBundles(_)) .Times(2) .WillRepeatedly(DoAll(SaveArg<0>(&request))); @@ -161,7 +161,7 @@ TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityOrder) { std::unique_ptr> put_cb; EXPECT_CALL(*store_client_, AsyncPut(_, _, _, _, _)) .Times(2) - .WillRepeatedly(DoAll(SaveArgToUniquePtr<4>(&put_cb), Return(Status::OK()))); + .WillRepeatedly(DoAll(SaveArgToUniquePtr<4>(&put_cb))); EXPECT_CALL(*gcs_placement_group_scheduler_, ScheduleUnplacedBundles(_)) .Times(2) .WillRepeatedly(DoAll(SaveArg<0>(&request))); diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc index 15876316cac2..d6421e6b7758 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc @@ -816,9 +816,9 @@ TEST_F(GcsPlacementGroupManagerTest, TestSchedulerReinitializeAfterGcsRestart) { /* cpu_num */ 1.0, /* job_id */ job_id); auto job_table_data = Mocker::GenJobTableData(job_id); - RAY_CHECK_OK(gcs_table_storage_->JobTable().Put( - job_id, *job_table_data, {[](auto) {}, io_service_})); - std::atomic registered_placement_group_count(0); + gcs_table_storage_->JobTable().Put( + job_id, *job_table_data, {[](auto) {}, io_service_}); + std::atomic registered_placement_group_count{0}; RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; }); @@ -1244,10 +1244,9 @@ TEST_F(GcsPlacementGroupManagerTest, TestCheckCreatorJobIsDeadWhenGcsRestart) { /* job_id */ job_id); auto job_table_data = Mocker::GenJobTableData(job_id); job_table_data->set_is_dead(true); - RAY_CHECK_OK(gcs_table_storage_->JobTable().Put( - job_id, *job_table_data, {[](auto) {}, io_service_})); - - std::atomic registered_placement_group_count(0); + gcs_table_storage_->JobTable().Put( + job_id, *job_table_data, {[](auto) {}, io_service_}); + std::atomic registered_placement_group_count{0}; RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; }); diff --git a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h index 8e628085e38f..cd66ea7fb0e7 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h +++ b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h @@ -38,7 +38,7 @@ class GcsTableStorageTestBase : public ::testing::Test { protected: void TestGcsTableApi() { - auto table = gcs_table_storage_->JobTable(); + auto &table = gcs_table_storage_->JobTable(); JobID job1_id = JobID::FromInt(1); JobID job2_id = JobID::FromInt(2); auto job1_table_data = Mocker::GenJobTableData(job1_id); @@ -105,7 +105,7 @@ class GcsTableStorageTestBase : public ::testing::Test { void Put(TABLE &table, const KEY &key, const VALUE &value) { auto on_done = [this](const Status &status) { --pending_count_; }; ++pending_count_; - RAY_CHECK_OK(table.Put(key, value, {on_done, *(io_service_pool_->Get())})); + table.Put(key, value, {on_done, *(io_service_pool_->Get())}); WaitPendingDone(); } @@ -124,7 +124,7 @@ class GcsTableStorageTestBase : public ::testing::Test { --pending_count_; }; ++pending_count_; - RAY_CHECK_OK(table.Get(key, {on_done, *(io_service_pool_->Get())})); + table.Get(key, {on_done, *(io_service_pool_->Get())}); WaitPendingDone(); return values.size(); } @@ -147,7 +147,7 @@ class GcsTableStorageTestBase : public ::testing::Test { --pending_count_; }; ++pending_count_; - RAY_CHECK_OK(table.GetByJobId(job_id, {on_done, *(io_service_pool_->Get())})); + table.GetByJobId(job_id, {on_done, *(io_service_pool_->Get())}); WaitPendingDone(); return values.size(); } @@ -159,7 +159,7 @@ class GcsTableStorageTestBase : public ::testing::Test { --pending_count_; }; ++pending_count_; - RAY_CHECK_OK(table.Delete(key, {on_done, *(io_service_pool_->Get())})); + table.Delete(key, {on_done, *(io_service_pool_->Get())}); WaitPendingDone(); } @@ -170,7 +170,7 @@ class GcsTableStorageTestBase : public ::testing::Test { --pending_count_; }; ++pending_count_; - RAY_CHECK_OK(table.BatchDelete(keys, {on_done, *(io_service_pool_->Get())})); + table.BatchDelete(keys, {on_done, *(io_service_pool_->Get())}); WaitPendingDone(); } diff --git a/src/ray/gcs/store_client/in_memory_store_client.cc b/src/ray/gcs/store_client/in_memory_store_client.cc index d7e64bba9fcd..cea449dd71d5 100644 --- a/src/ray/gcs/store_client/in_memory_store_client.cc +++ b/src/ray/gcs/store_client/in_memory_store_client.cc @@ -20,11 +20,11 @@ namespace ray::gcs { -Status InMemoryStoreClient::AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) { +void InMemoryStoreClient::AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) { auto &table = GetOrCreateMutableTable(table_name); bool inserted = false; if (overwrite) { @@ -33,10 +33,9 @@ Status InMemoryStoreClient::AsyncPut(const std::string &table_name, inserted = table.Emplace(key, std::move(data)); } std::move(callback).Post("GcsInMemoryStore.Put", inserted); - return Status::OK(); } -Status InMemoryStoreClient::AsyncGet( +void InMemoryStoreClient::AsyncGet( const std::string &table_name, const std::string &key, ToPostable> callback) { @@ -46,10 +45,9 @@ Status InMemoryStoreClient::AsyncGet( data = table->Get(key); } std::move(callback).Post("GcsInMemoryStore.Get", Status::OK(), std::move(data)); - return Status::OK(); } -Status InMemoryStoreClient::AsyncGetAll( +void InMemoryStoreClient::AsyncGetAll( const std::string &table_name, Postable)> callback) { auto result = absl::flat_hash_map(); @@ -58,10 +56,9 @@ Status InMemoryStoreClient::AsyncGetAll( result = table->GetMapClone(); } std::move(callback).Post("GcsInMemoryStore.GetAll", std::move(result)); - return Status::OK(); } -Status InMemoryStoreClient::AsyncMultiGet( +void InMemoryStoreClient::AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) { @@ -74,31 +71,27 @@ Status InMemoryStoreClient::AsyncMultiGet( }); } std::move(callback).Post("GcsInMemoryStore.GetAll", std::move(result)); - return Status::OK(); } -Status InMemoryStoreClient::AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) { +void InMemoryStoreClient::AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) { auto &table = GetOrCreateMutableTable(table_name); auto erased = table.Erase(key); std::move(callback).Post("GcsInMemoryStore.Delete", erased); - return Status::OK(); } -Status InMemoryStoreClient::AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) { +void InMemoryStoreClient::AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) { auto &table = GetOrCreateMutableTable(table_name); int64_t num_erased = table.EraseKeys(absl::MakeSpan(keys)); std::move(callback).Post("GcsInMemoryStore.BatchDelete", num_erased); - return Status::OK(); } -Status InMemoryStoreClient::AsyncGetNextJobID(Postable callback) { +void InMemoryStoreClient::AsyncGetNextJobID(Postable callback) { auto job_id = job_id_.fetch_add(1, std::memory_order_acq_rel); std::move(callback).Post("GcsInMemoryStore.GetNextJobID", job_id); - return Status::OK(); } ConcurrentFlatMap &InMemoryStoreClient::GetOrCreateMutableTable( @@ -121,7 +114,7 @@ const ConcurrentFlatMap *InMemoryStoreClient::GetTable return nullptr; } -Status InMemoryStoreClient::AsyncGetKeys( +void InMemoryStoreClient::AsyncGetKeys( const std::string &table_name, const std::string &prefix, Postable)> callback) { @@ -135,20 +128,17 @@ Status InMemoryStoreClient::AsyncGetKeys( }); } std::move(callback).Post("GcsInMemoryStore.Keys", std::move(result)); - - return Status::OK(); } -Status InMemoryStoreClient::AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) { +void InMemoryStoreClient::AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) { bool result = false; auto table = GetTable(table_name); if (table != nullptr) { result = table->Contains(key); } std::move(callback).Post("GcsInMemoryStore.Exists", result); - return Status::OK(); } } // namespace ray::gcs diff --git a/src/ray/gcs/store_client/in_memory_store_client.h b/src/ray/gcs/store_client/in_memory_store_client.h index e95754592857..0eb2904735b2 100644 --- a/src/ray/gcs/store_client/in_memory_store_client.h +++ b/src/ray/gcs/store_client/in_memory_store_client.h @@ -34,42 +34,42 @@ class InMemoryStoreClient : public StoreClient { public: explicit InMemoryStoreClient() = default; - Status AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) override; + void AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) override; - Status AsyncGet(const std::string &table_name, - const std::string &key, - ToPostable> callback) override; + void AsyncGet(const std::string &table_name, + const std::string &key, + ToPostable> callback) override; - Status AsyncGetAll( + void AsyncGetAll( const std::string &table_name, Postable)> callback) override; - Status AsyncMultiGet( + void AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) override; - Status AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) override; - Status AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) override; + void AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) override; - Status AsyncGetNextJobID(Postable callback) override; + void AsyncGetNextJobID(Postable callback) override; - Status AsyncGetKeys(const std::string &table_name, - const std::string &prefix, - Postable)> callback) override; + void AsyncGetKeys(const std::string &table_name, + const std::string &prefix, + Postable)> callback) override; - Status AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) override; private: // The returned reference is valid as long as the InMemoryStoreClient is alive and diff --git a/src/ray/gcs/store_client/observable_store_client.cc b/src/ray/gcs/store_client/observable_store_client.cc index 5243944a9f77..b9c5d84c31dc 100644 --- a/src/ray/gcs/store_client/observable_store_client.cc +++ b/src/ray/gcs/store_client/observable_store_client.cc @@ -24,79 +24,81 @@ namespace ray { namespace gcs { -Status ObservableStoreClient::AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) { +void ObservableStoreClient::AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "Put"); - return delegate_->AsyncPut( - table_name, key, data, overwrite, std::move(callback).OnInvocation([start]() { - auto end = absl::GetCurrentTimeNanos(); - ray::stats::STATS_gcs_storage_operation_latency_ms.Record( - absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Put"); - })); + delegate_->AsyncPut(table_name, + key, + std::move(data), + overwrite, + std::move(callback).OnInvocation([start]() { + auto end = absl::GetCurrentTimeNanos(); + ray::stats::STATS_gcs_storage_operation_latency_ms.Record( + absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), + "Put"); + })); } -Status ObservableStoreClient::AsyncGet( +void ObservableStoreClient::AsyncGet( const std::string &table_name, const std::string &key, ToPostable> callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "Get"); - return delegate_->AsyncGet(table_name, key, std::move(callback).OnInvocation([start]() { + delegate_->AsyncGet(table_name, key, std::move(callback).OnInvocation([start]() { auto end = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_latency_ms.Record( absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Get"); })); } -Status ObservableStoreClient::AsyncGetAll( +void ObservableStoreClient::AsyncGetAll( const std::string &table_name, Postable)> callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "GetAll"); - return delegate_->AsyncGetAll(table_name, std::move(callback).OnInvocation([start]() { + delegate_->AsyncGetAll(table_name, std::move(callback).OnInvocation([start]() { auto end = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_latency_ms.Record( absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "GetAll"); })); } -Status ObservableStoreClient::AsyncMultiGet( +void ObservableStoreClient::AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "MultiGet"); - return delegate_->AsyncMultiGet( - table_name, keys, std::move(callback).OnInvocation([start]() { - auto end = absl::GetCurrentTimeNanos(); - ray::stats::STATS_gcs_storage_operation_latency_ms.Record( - absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "MultiGet"); - })); + delegate_->AsyncMultiGet(table_name, keys, std::move(callback).OnInvocation([start]() { + auto end = absl::GetCurrentTimeNanos(); + ray::stats::STATS_gcs_storage_operation_latency_ms.Record( + absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "MultiGet"); + })); } -Status ObservableStoreClient::AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) { +void ObservableStoreClient::AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "Delete"); - return delegate_->AsyncDelete( - table_name, key, std::move(callback).OnInvocation([start]() { - auto end = absl::GetCurrentTimeNanos(); - ray::stats::STATS_gcs_storage_operation_latency_ms.Record( - absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Delete"); - })); + delegate_->AsyncDelete(table_name, key, std::move(callback).OnInvocation([start]() { + auto end = absl::GetCurrentTimeNanos(); + ray::stats::STATS_gcs_storage_operation_latency_ms.Record( + absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Delete"); + })); } -Status ObservableStoreClient::AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) { +void ObservableStoreClient::AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "BatchDelete"); - return delegate_->AsyncBatchDelete( + delegate_->AsyncBatchDelete( table_name, keys, std::move(callback).OnInvocation([start]() { auto end = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_latency_ms.Record( @@ -104,35 +106,33 @@ Status ObservableStoreClient::AsyncBatchDelete(const std::string &table_name, })); } -Status ObservableStoreClient::AsyncGetNextJobID(Postable callback) { - return delegate_->AsyncGetNextJobID(std::move(callback)); +void ObservableStoreClient::AsyncGetNextJobID(Postable callback) { + delegate_->AsyncGetNextJobID(std::move(callback)); } -Status ObservableStoreClient::AsyncGetKeys( +void ObservableStoreClient::AsyncGetKeys( const std::string &table_name, const std::string &prefix, Postable)> callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "GetKeys"); - return delegate_->AsyncGetKeys( - table_name, prefix, std::move(callback).OnInvocation([start]() { - auto end = absl::GetCurrentTimeNanos(); - ray::stats::STATS_gcs_storage_operation_latency_ms.Record( - absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "GetKeys"); - })); + delegate_->AsyncGetKeys(table_name, prefix, std::move(callback).OnInvocation([start]() { + auto end = absl::GetCurrentTimeNanos(); + ray::stats::STATS_gcs_storage_operation_latency_ms.Record( + absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "GetKeys"); + })); } -Status ObservableStoreClient::AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) { +void ObservableStoreClient::AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) { auto start = absl::GetCurrentTimeNanos(); ray::stats::STATS_gcs_storage_operation_count.Record(1, "Exists"); - return delegate_->AsyncExists( - table_name, key, std::move(callback).OnInvocation([start]() { - auto end = absl::GetCurrentTimeNanos(); - ray::stats::STATS_gcs_storage_operation_latency_ms.Record( - absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Exists"); - })); + delegate_->AsyncExists(table_name, key, std::move(callback).OnInvocation([start]() { + auto end = absl::GetCurrentTimeNanos(); + ray::stats::STATS_gcs_storage_operation_latency_ms.Record( + absl::ToDoubleMilliseconds(absl::Nanoseconds(end - start)), "Exists"); + })); } } // namespace gcs diff --git a/src/ray/gcs/store_client/observable_store_client.h b/src/ray/gcs/store_client/observable_store_client.h index 1c7bfa9857b6..c483b03b75cd 100644 --- a/src/ray/gcs/store_client/observable_store_client.h +++ b/src/ray/gcs/store_client/observable_store_client.h @@ -31,42 +31,42 @@ class ObservableStoreClient : public StoreClient { explicit ObservableStoreClient(std::unique_ptr delegate) : delegate_(std::move(delegate)) {} - Status AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) override; + void AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) override; - Status AsyncGet(const std::string &table_name, - const std::string &key, - ToPostable> callback) override; + void AsyncGet(const std::string &table_name, + const std::string &key, + ToPostable> callback) override; - Status AsyncGetAll( + void AsyncGetAll( const std::string &table_name, Postable)> callback) override; - Status AsyncMultiGet( + void AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) override; - Status AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) override; - Status AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) override; + void AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) override; - Status AsyncGetNextJobID(Postable callback) override; + void AsyncGetNextJobID(Postable callback) override; - Status AsyncGetKeys(const std::string &table_name, - const std::string &prefix, - Postable)> callback) override; + void AsyncGetKeys(const std::string &table_name, + const std::string &prefix, + Postable)> callback) override; - Status AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) override; private: std::unique_ptr delegate_; diff --git a/src/ray/gcs/store_client/redis_store_client.cc b/src/ray/gcs/store_client/redis_store_client.cc index f564481ea2cf..c963a693bce0 100644 --- a/src/ray/gcs/store_client/redis_store_client.cc +++ b/src/ray/gcs/store_client/redis_store_client.cc @@ -142,11 +142,11 @@ RedisStoreClient::RedisStoreClient(instrumented_io_context &io_service, << kClusterSeparator << "."; } -Status RedisStoreClient::AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) { +void RedisStoreClient::AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) { RedisCommand command{/*command=*/overwrite ? "HSET" : "HSETNX", RedisKey{external_storage_namespace_, table_name}, /*args=*/{key, std::move(data)}}; @@ -157,13 +157,11 @@ Status RedisStoreClient::AsyncPut(const std::string &table_name, std::move(callback).Dispatch("RedisStoreClient.AsyncPut", added_num != 0); }; SendRedisCmdWithKeys({key}, std::move(command), std::move(write_callback)); - return Status::OK(); } -Status RedisStoreClient::AsyncGet( - const std::string &table_name, - const std::string &key, - ToPostable> callback) { +void RedisStoreClient::AsyncGet(const std::string &table_name, + const std::string &key, + ToPostable> callback) { auto redis_callback = [callback = std::move(callback)]( const std::shared_ptr &reply) mutable { std::optional result; @@ -181,49 +179,45 @@ Status RedisStoreClient::AsyncGet( RedisKey{external_storage_namespace_, table_name}, /*args=*/{key}}; SendRedisCmdArgsAsKeys(std::move(command), std::move(redis_callback)); - return Status::OK(); } -Status RedisStoreClient::AsyncGetAll( +void RedisStoreClient::AsyncGetAll( const std::string &table_name, Postable)> callback) { RedisScanner::ScanKeysAndValues(primary_context_, RedisKey{external_storage_namespace_, table_name}, RedisMatchPattern::Any(), std::move(callback)); - return Status::OK(); } -Status RedisStoreClient::AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) { - return AsyncBatchDelete( - table_name, {key}, std::move(callback).TransformArg([](int64_t cnt) { - return cnt > 0; - })); +void RedisStoreClient::AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) { + AsyncBatchDelete(table_name, {key}, std::move(callback).TransformArg([](int64_t cnt) { + return cnt > 0; + })); } -Status RedisStoreClient::AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) { +void RedisStoreClient::AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) { if (keys.empty()) { std::move(callback).Dispatch("RedisStoreClient.AsyncBatchDelete", 0); - return Status::OK(); + return; } - return DeleteByKeys(table_name, keys, std::move(callback)); + DeleteByKeys(table_name, keys, std::move(callback)); } -Status RedisStoreClient::AsyncMultiGet( +void RedisStoreClient::AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) { if (keys.empty()) { std::move(callback).Dispatch("RedisStoreClient.AsyncMultiGet", absl::flat_hash_map{}); - return Status::OK(); + return; } MGetValues(table_name, keys, std::move(callback)); - return Status::OK(); } size_t RedisStoreClient::PushToSendingQueue(const std::vector &keys, @@ -341,9 +335,9 @@ void RedisStoreClient::SendRedisCmdWithKeys(std::vector keys, } } -Status RedisStoreClient::DeleteByKeys(const std::string &table, - const std::vector &keys, - Postable callback) { +void RedisStoreClient::DeleteByKeys(const std::string &table, + const std::vector &keys, + Postable callback) { auto del_cmds = GenCommandsBatched("HDEL", RedisKey{external_storage_namespace_, table}, keys); auto total_count = del_cmds.size(); @@ -364,7 +358,6 @@ Status RedisStoreClient::DeleteByKeys(const std::string &table, }; SendRedisCmdArgsAsKeys(std::move(command), std::move(delete_callback)); } - return Status::OK(); } RedisStoreClient::RedisScanner::RedisScanner( @@ -459,7 +452,7 @@ void RedisStoreClient::RedisScanner::OnScanCallback( } } -Status RedisStoreClient::AsyncGetNextJobID(Postable callback) { +void RedisStoreClient::AsyncGetNextJobID(Postable callback) { // Note: This is not a HASH! It's a simple key-value pair. // Key: "RAYexternal_storage_namespace@JobCounter" // Value: The next job ID. @@ -473,13 +466,11 @@ Status RedisStoreClient::AsyncGetNextJobID(Postable callback) { auto job_id = static_cast(reply->ReadAsInteger()); std::move(callback).Post("GcsStore.GetNextJobID", job_id); }); - - return Status::OK(); } -Status RedisStoreClient::AsyncGetKeys(const std::string &table_name, - const std::string &prefix, - Postable)> callback) { +void RedisStoreClient::AsyncGetKeys(const std::string &table_name, + const std::string &prefix, + Postable)> callback) { RedisScanner::ScanKeysAndValues( primary_context_, RedisKey{external_storage_namespace_, table_name}, @@ -493,12 +484,11 @@ Status RedisStoreClient::AsyncGetKeys(const std::string &table_name, } return keys; })); - return Status::OK(); } -Status RedisStoreClient::AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) { +void RedisStoreClient::AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) { RedisCommand command = { "HEXISTS", RedisKey{external_storage_namespace_, table_name}, {key}}; SendRedisCmdArgsAsKeys( @@ -508,7 +498,6 @@ Status RedisStoreClient::AsyncExists(const std::string &table_name, bool exists = reply->ReadAsInteger() > 0; std::move(callback).Dispatch("RedisStoreClient.AsyncExists", exists); }); - return Status::OK(); } void RedisStoreClient::AsyncCheckHealth(Postable callback) { diff --git a/src/ray/gcs/store_client/redis_store_client.h b/src/ray/gcs/store_client/redis_store_client.h index 6456ee606d86..9d4a6aa6cd62 100644 --- a/src/ray/gcs/store_client/redis_store_client.h +++ b/src/ray/gcs/store_client/redis_store_client.h @@ -135,42 +135,42 @@ class RedisStoreClient : public StoreClient { explicit RedisStoreClient(instrumented_io_context &io_service, const RedisClientOptions &options); - Status AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) override; + void AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) override; - Status AsyncGet(const std::string &table_name, - const std::string &key, - ToPostable> callback) override; + void AsyncGet(const std::string &table_name, + const std::string &key, + ToPostable> callback) override; - Status AsyncGetAll( + void AsyncGetAll( const std::string &table_name, Postable)> callback) override; - Status AsyncMultiGet( + void AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) override; - Status AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) override; - Status AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) override; + void AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) override; - Status AsyncGetNextJobID(Postable callback) override; + void AsyncGetNextJobID(Postable callback) override; - Status AsyncGetKeys(const std::string &table_name, - const std::string &prefix, - Postable)> callback) override; + void AsyncGetKeys(const std::string &table_name, + const std::string &prefix, + Postable)> callback) override; - Status AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) override; + void AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) override; // Check if Redis is available. // @@ -261,9 +261,9 @@ class RedisStoreClient : public StoreClient { std::vector> TakeRequestsFromSendingQueue( const std::vector &keys) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); - Status DeleteByKeys(const std::string &table_name, - const std::vector &keys, - Postable callback); + void DeleteByKeys(const std::string &table_name, + const std::vector &keys, + Postable callback); // Send the redis command to the server. This method will make request to be // serialized for each key in keys. At a given time, only one request for a {table_name, diff --git a/src/ray/gcs/store_client/store_client.h b/src/ray/gcs/store_client/store_client.h index 882a5201a9ee..e2f6a75fb9fc 100644 --- a/src/ray/gcs/store_client/store_client.h +++ b/src/ray/gcs/store_client/store_client.h @@ -43,29 +43,26 @@ class StoreClient { /// will be ignored. /// \param callback WARNING: it returns true if and only if A NEW ENTRY is added. /// Overwritten return false. - /// \return Status - virtual Status AsyncPut(const std::string &table_name, - const std::string &key, - std::string data, - bool overwrite, - Postable callback) = 0; + virtual void AsyncPut(const std::string &table_name, + const std::string &key, + std::string data, + bool overwrite, + Postable callback) = 0; /// Get data from the given table asynchronously. /// /// \param table_name The name of the table to be read. /// \param key The key to lookup from the table. /// \param callback returns the value or null. - /// \return Status - virtual Status AsyncGet(const std::string &table_name, - const std::string &key, - ToPostable> callback) = 0; + virtual void AsyncGet(const std::string &table_name, + const std::string &key, + ToPostable> callback) = 0; /// Get all data from the given table asynchronously. /// /// \param table_name The name of the table to be read. /// \param callback returns the key value pairs in a map. - /// \return Status - virtual Status AsyncGetAll( + virtual void AsyncGetAll( const std::string &table_name, Postable)> callback) = 0; @@ -74,8 +71,7 @@ class StoreClient { /// \param table_name The name of the table to be read. /// \param keys The keys to look up from the table. /// \param callback returns the key value pairs in a map for those keys that exist. - /// \return Status - virtual Status AsyncMultiGet( + virtual void AsyncMultiGet( const std::string &table_name, const std::vector &keys, Postable)> callback) = 0; @@ -85,45 +81,41 @@ class StoreClient { /// \param table_name The name of the table from which data is to be deleted. /// \param key The key that will be deleted from the table. /// \param callback returns true if an entry with matching key is deleted. - /// \return Status - virtual Status AsyncDelete(const std::string &table_name, - const std::string &key, - Postable callback) = 0; + virtual void AsyncDelete(const std::string &table_name, + const std::string &key, + Postable callback) = 0; /// Batch delete data from the given table asynchronously. /// /// \param table_name The name of the table from which data is to be deleted. /// \param keys The keys that will be deleted from the table. /// \param callback returns the number of deleted entries. - /// \return Status - virtual Status AsyncBatchDelete(const std::string &table_name, - const std::vector &keys, - Postable callback) = 0; + virtual void AsyncBatchDelete(const std::string &table_name, + const std::vector &keys, + Postable callback) = 0; /// Get next job id by `INCR` "JobCounter" key asynchronously. /// /// \param callback returns the next job id in integer representation. - /// \return Status - virtual Status AsyncGetNextJobID(Postable callback) = 0; + virtual void AsyncGetNextJobID(Postable callback) = 0; /// Get all the keys match the prefix from the given table asynchronously. /// /// \param table_name The name of the table to be read. /// \param prefix The prefix to be scaned. /// \param callback returns all matching keys in a vector. - /// \return Status - virtual Status AsyncGetKeys(const std::string &table_name, - const std::string &prefix, - Postable)> callback) = 0; + virtual void AsyncGetKeys(const std::string &table_name, + const std::string &prefix, + Postable)> callback) = 0; /// Check whether the key exists in the table. /// /// \param table_name The name of the table to be read. /// \param key The key to be checked. /// \param callback Returns true if such key exists. - virtual Status AsyncExists(const std::string &table_name, - const std::string &key, - Postable callback) = 0; + virtual void AsyncExists(const std::string &table_name, + const std::string &key, + Postable callback) = 0; protected: StoreClient() = default; diff --git a/src/ray/gcs/store_client/tests/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc index 1d3cb4c3f7a9..e3d29abaa1cb 100644 --- a/src/ray/gcs/store_client/tests/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -96,31 +96,27 @@ TEST_F(RedisStoreClientTest, BasicSimple) { for (size_t i = 0; i < 100; ++i) { for (size_t j = 0; j < 20; ++j) { ++*cnt; - ASSERT_TRUE(store_client_ - ->AsyncPut("T", - absl::StrCat("A", std::to_string(j)), - std::to_string(i), - true, - {[i, cnt](auto r) { - --*cnt; - ASSERT_TRUE((i == 0 && r) || (i != 0 && !r)); - }, - *io_service_pool_->Get()}) - .ok()); + store_client_->AsyncPut("T", + absl::StrCat("A", std::to_string(j)), + std::to_string(i), + true, + {[i, cnt](auto r) { + --*cnt; + ASSERT_TRUE((i == 0 && r) || (i != 0 && !r)); + }, + *io_service_pool_->Get()}); } } for (size_t j = 0; j < 20; ++j) { ++*cnt; - ASSERT_TRUE(store_client_ - ->AsyncGet("T", - absl::StrCat("A", std::to_string(j)), - {[cnt](auto s, auto r) { - --*cnt; - ASSERT_TRUE(r.has_value()); - ASSERT_EQ(*r, "99"); - }, - *io_service_pool_->Get()}) - .ok()); + store_client_->AsyncGet("T", + absl::StrCat("A", std::to_string(j)), + {[cnt](auto s, auto r) { + --*cnt; + ASSERT_TRUE(r.has_value()); + ASSERT_EQ(*r, "99"); + }, + *io_service_pool_->Get()}); } ASSERT_TRUE(WaitForCondition([cnt]() { return *cnt == 0; }, 5000)); } @@ -135,19 +131,17 @@ TEST_F(RedisStoreClientTest, Complicated) { for (int j = i; j < i + window; ++j) { ++sent; RAY_LOG(INFO) << "S AsyncPut: " << ("P_" + std::to_string(j)); - ASSERT_TRUE(store_client_ - ->AsyncPut("N", - "P_" + std::to_string(j), - std::to_string(j), - true, - {[&finished, j](auto r) mutable { - RAY_LOG(INFO) - << "F AsyncPut: " << ("P_" + std::to_string(j)); - ++finished; - ASSERT_TRUE(r); - }, - *io_service_pool_->Get()}) - .ok()); + store_client_->AsyncPut("N", + "P_" + std::to_string(j), + std::to_string(j), + true, + {[&finished, j](auto r) mutable { + RAY_LOG(INFO) + << "F AsyncPut: " << ("P_" + std::to_string(j)); + ++finished; + ASSERT_TRUE(r); + }, + *io_service_pool_->Get()}); keys.push_back(std::to_string(j)); } @@ -163,89 +157,73 @@ TEST_F(RedisStoreClientTest, Complicated) { ++sent; RAY_LOG(INFO) << "S AsyncMultiGet: " << absl::StrJoin(p_keys, ","); - ASSERT_TRUE( - store_client_ - ->AsyncMultiGet( - "N", - p_keys, - {[&finished, i, keys, window, &sent, p_keys, n_keys, this]( - absl::flat_hash_map m) mutable -> void { - RAY_LOG(INFO) << "F SendAsyncMultiGet: " << absl::StrJoin(p_keys, ","); - ++finished; - ASSERT_EQ(keys.size(), m.size()); - for (auto &key : keys) { - ASSERT_EQ(m["P_" + key], key); - } - - if ((i / window) % 2 == 0) { - // Delete non exist keys - for (size_t jj = 0; jj < keys.size(); ++jj) { - ++sent; - RAY_LOG(INFO) << "S AsyncDelete: " << n_keys[jj]; - ASSERT_TRUE( - store_client_ - ->AsyncDelete("N", - n_keys[jj], - {[&finished, n_keys, jj](auto b) mutable { - RAY_LOG(INFO) - << "F AsyncDelete: " << n_keys[jj]; - ++finished; - ASSERT_FALSE(b); - }, - *this->io_service_pool_->Get()}) - .ok()); - - ++sent; - RAY_LOG(INFO) << "S AsyncExists: " << p_keys[jj]; - ASSERT_TRUE( - store_client_ - ->AsyncExists("N", - p_keys[jj], - {[&finished, p_keys, jj](auto b) mutable { - RAY_LOG(INFO) - << "F AsyncExists: " << p_keys[jj]; - ++finished; - ASSERT_TRUE(b); - }, - *this->io_service_pool_->Get()}) - .ok()); - } - } else { - ++sent; - RAY_LOG(INFO) - << "S AsyncBatchDelete: " << absl::StrJoin(p_keys, ","); - ASSERT_TRUE(store_client_ - ->AsyncBatchDelete( - "N", - p_keys, - {[&finished, p_keys, keys](auto n) mutable { - RAY_LOG(INFO) << "F AsyncBatchDelete: " - << absl::StrJoin(p_keys, ","); - ++finished; - ASSERT_EQ(n, keys.size()); - }, - *this->io_service_pool_->Get()}) - .ok()); - - for (auto p_key : p_keys) { - ++sent; - RAY_LOG(INFO) << "S AsyncExists: " << p_key; - ASSERT_TRUE(store_client_ - ->AsyncExists("N", - p_key, - {[&finished, p_key](auto b) mutable { - RAY_LOG(INFO) - << "F AsyncExists: " << p_key; - ++finished; - ASSERT_FALSE(false); - }, - *this->io_service_pool_->Get()}) - .ok()); - } - } - }, - *io_service_pool_->Get()}) - .ok()); + store_client_->AsyncMultiGet( + "N", + p_keys, + {[&finished, i, keys, window, &sent, p_keys, n_keys, this]( + absl::flat_hash_map m) mutable -> void { + RAY_LOG(INFO) << "F SendAsyncMultiGet: " << absl::StrJoin(p_keys, ","); + ++finished; + ASSERT_EQ(keys.size(), m.size()); + for (auto &key : keys) { + ASSERT_EQ(m["P_" + key], key); + } + + if ((i / window) % 2 == 0) { + // Delete non exist keys + for (size_t jj = 0; jj < keys.size(); ++jj) { + ++sent; + RAY_LOG(INFO) << "S AsyncDelete: " << n_keys[jj]; + store_client_->AsyncDelete("N", + n_keys[jj], + {[&finished, n_keys, jj](auto b) mutable { + RAY_LOG(INFO) + << "F AsyncDelete: " << n_keys[jj]; + ++finished; + ASSERT_FALSE(b); + }, + *this->io_service_pool_->Get()}); + + ++sent; + RAY_LOG(INFO) << "S AsyncExists: " << p_keys[jj]; + store_client_->AsyncExists("N", + p_keys[jj], + {[&finished, p_keys, jj](auto b) mutable { + RAY_LOG(INFO) + << "F AsyncExists: " << p_keys[jj]; + ++finished; + ASSERT_TRUE(b); + }, + *this->io_service_pool_->Get()}); + } + } else { + ++sent; + RAY_LOG(INFO) << "S AsyncBatchDelete: " << absl::StrJoin(p_keys, ","); + store_client_->AsyncBatchDelete( + "N", + p_keys, + {[&finished, p_keys, keys](auto n) mutable { + RAY_LOG(INFO) << "F AsyncBatchDelete: " << absl::StrJoin(p_keys, ","); + ++finished; + ASSERT_EQ(n, keys.size()); + }, + *this->io_service_pool_->Get()}); + + for (auto p_key : p_keys) { + ++sent; + RAY_LOG(INFO) << "S AsyncExists: " << p_key; + store_client_->AsyncExists("N", + p_key, + {[&finished, p_key](auto b) mutable { + RAY_LOG(INFO) << "F AsyncExists: " << p_key; + ++finished; + ASSERT_FALSE(false); + }, + *this->io_service_pool_->Get()}); + } + } + }, + *io_service_pool_->Get()}); } ASSERT_TRUE(WaitForCondition( [&finished, &sent]() { @@ -279,16 +257,15 @@ TEST_F(RedisStoreClientTest, Random) { } RAY_LOG(INFO) << "m_multi_get Sending: " << idx; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncMultiGet("N", - keys, - {[result, idx, counter](auto m) mutable { - RAY_LOG(INFO) - << "m_multi_get Finished: " << idx - << " " << m.size(); - *counter -= 1; - ASSERT_TRUE(m == result); - }, - *io_service_pool_->Get()})); + store_client_->AsyncMultiGet("N", + keys, + {[result, idx, counter](auto m) mutable { + RAY_LOG(INFO) << "m_multi_get Finished: " << idx + << " " << m.size(); + *counter -= 1; + ASSERT_TRUE(m == result); + }, + *io_service_pool_->Get()}); }; auto m_batch_delete = [&, counter, this](size_t idx) mutable { @@ -299,15 +276,15 @@ TEST_F(RedisStoreClientTest, Random) { } RAY_LOG(INFO) << "m_batch_delete Sending: " << idx; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncBatchDelete( - "N", - keys, - {[&counter, deleted_num, idx](auto v) mutable { - RAY_LOG(INFO) << "m_batch_delete Finished: " << idx << " " << v; - *counter -= 1; - ASSERT_EQ(v, deleted_num); - }, - *io_service_pool_->Get()})); + store_client_->AsyncBatchDelete("N", + keys, + {[&counter, deleted_num, idx](auto v) mutable { + RAY_LOG(INFO) << "m_batch_delete Finished: " << idx + << " " << v; + *counter -= 1; + ASSERT_EQ(v, deleted_num); + }, + *io_service_pool_->Get()}); }; auto m_delete = [&, this](size_t idx) mutable { @@ -315,16 +292,15 @@ TEST_F(RedisStoreClientTest, Random) { bool deleted = dict.erase(k) > 0; RAY_LOG(INFO) << "m_delete Sending: " << idx << " " << k; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncDelete("N", - k, - {[counter, k, idx, deleted](auto r) { - RAY_LOG(INFO) - << "m_delete Finished: " << idx << " " - << k << " " << deleted; - *counter -= 1; - ASSERT_EQ(deleted, r); - }, - *io_service_pool_->Get()})); + store_client_->AsyncDelete("N", + k, + {[counter, k, idx, deleted](auto r) { + RAY_LOG(INFO) << "m_delete Finished: " << idx << " " + << k << " " << deleted; + *counter -= 1; + ASSERT_EQ(deleted, r); + }, + *io_service_pool_->Get()}); }; auto m_get = [&, counter, this](size_t idx) { @@ -335,16 +311,15 @@ TEST_F(RedisStoreClientTest, Random) { } RAY_LOG(INFO) << "m_get Sending: " << idx; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncGet("N", - k, - {[counter, idx, v](auto, auto r) { - RAY_LOG(INFO) - << "m_get Finished: " << idx << " " - << (r ? *r : std::string("-")); - *counter -= 1; - ASSERT_EQ(v, r); - }, - *io_service_pool_->Get()})); + store_client_->AsyncGet("N", + k, + {[counter, idx, v](auto, auto r) { + RAY_LOG(INFO) << "m_get Finished: " << idx << " " + << (r ? *r : std::string("-")); + *counter -= 1; + ASSERT_EQ(v, r); + }, + *io_service_pool_->Get()}); }; auto m_exists = [&, counter, this](size_t idx) { @@ -352,15 +327,15 @@ TEST_F(RedisStoreClientTest, Random) { bool existed = dict.count(k); RAY_LOG(INFO) << "m_exists Sending: " << idx; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncExists( - "N", - k, - {[k, existed, counter, idx](auto r) mutable { - RAY_LOG(INFO) << "m_exists Finished: " << idx << " " << k << " " << r; - *counter -= 1; - ASSERT_EQ(existed, r) << " exists check " << k; - }, - *io_service_pool_->Get()})); + store_client_->AsyncExists("N", + k, + {[k, existed, counter, idx](auto r) mutable { + RAY_LOG(INFO) << "m_exists Finished: " << idx << " " + << k << " " << r; + *counter -= 1; + ASSERT_EQ(existed, r) << " exists check " << k; + }, + *io_service_pool_->Get()}); }; auto m_puts = [&, counter, this](size_t idx) mutable { @@ -373,18 +348,17 @@ TEST_F(RedisStoreClientTest, Random) { dict[k] = v; RAY_LOG(INFO) << "m_put Sending: " << idx << " " << k << " " << v; *counter += 1; - RAY_CHECK_OK(store_client_->AsyncPut("N", - k, - v, - true, - {[idx, added, k, counter](bool r) mutable { - RAY_LOG(INFO) - << "m_put Finished: " - << " " << idx << " " << k << " " << r; - *counter -= 1; - ASSERT_EQ(r, added); - }, - *io_service_pool_->Get()})); + store_client_->AsyncPut("N", + k, + v, + true, + {[idx, added, k, counter](bool r) mutable { + RAY_LOG(INFO) + << "m_put Finished: " << idx << " " << k << " " << r; + *counter -= 1; + ASSERT_EQ(r, added); + }, + *io_service_pool_->Get()}); }; std::vector> ops{ diff --git a/src/ray/gcs/store_client/tests/store_client_test_base.h b/src/ray/gcs/store_client/tests/store_client_test_base.h index c687a7d96e53..5bbc27432708 100644 --- a/src/ray/gcs/store_client/tests/store_client_test_base.h +++ b/src/ray/gcs/store_client/tests/store_client_test_base.h @@ -60,11 +60,11 @@ class StoreClientTestBase : public ::testing::Test { auto put_callback = [this](auto) { --pending_count_; }; for (const auto &[key, value] : key_to_value_) { ++pending_count_; - RAY_CHECK_OK(store_client_->AsyncPut(table_name_, - key.Hex(), - value.SerializeAsString(), - true, - {put_callback, *io_service_pool_->Get()})); + store_client_->AsyncPut(table_name_, + key.Hex(), + value.SerializeAsString(), + true, + {put_callback, *io_service_pool_->Get()}); } WaitPendingDone(); } @@ -73,8 +73,8 @@ class StoreClientTestBase : public ::testing::Test { auto delete_callback = [this](auto) { --pending_count_; }; for (const auto &[key, _] : key_to_value_) { ++pending_count_; - RAY_CHECK_OK(store_client_->AsyncDelete( - table_name_, key.Hex(), {delete_callback, *io_service_pool_->Get()})); + store_client_->AsyncDelete( + table_name_, key.Hex(), {delete_callback, *io_service_pool_->Get()}); } WaitPendingDone(); } @@ -93,8 +93,8 @@ class StoreClientTestBase : public ::testing::Test { }; for (const auto &[key, _] : key_to_value_) { ++pending_count_; - RAY_CHECK_OK(store_client_->AsyncGet( - table_name_, key.Hex(), {get_callback, *io_service_pool_->Get()})); + store_client_->AsyncGet( + table_name_, key.Hex(), {get_callback, *io_service_pool_->Get()}); } WaitPendingDone(); } @@ -110,8 +110,7 @@ class StoreClientTestBase : public ::testing::Test { }; ++pending_count_; - RAY_CHECK_OK(store_client_->AsyncGet( - table_name_, key, {get_callback, *io_service_pool_->Get()})); + store_client_->AsyncGet(table_name_, key, {get_callback, *io_service_pool_->Get()}); } WaitPendingDone(); } @@ -135,8 +134,7 @@ class StoreClientTestBase : public ::testing::Test { }; pending_count_ += key_to_value_.size(); - RAY_CHECK_OK(store_client_->AsyncGetAll( - table_name_, {get_all_callback, *io_service_pool_->Get()})); + store_client_->AsyncGetAll(table_name_, {get_all_callback, *io_service_pool_->Get()}); WaitPendingDone(); } @@ -162,8 +160,8 @@ class StoreClientTestBase : public ::testing::Test { pending_count_ += result_set.size(); - RAY_CHECK_OK(store_client_->AsyncGetKeys( - table_name_, prefix, {get_keys_callback, *io_service_pool_->Get()})); + store_client_->AsyncGetKeys( + table_name_, prefix, {get_keys_callback, *io_service_pool_->Get()}); WaitPendingDone(); } } @@ -176,8 +174,8 @@ class StoreClientTestBase : public ::testing::Test { pending_count_ += key_to_value_.size(); for (const auto &item : key_to_value_) { - RAY_CHECK_OK(store_client_->AsyncExists( - table_name_, item.first.Hex(), {exists_callback, *io_service_pool_->Get()})); + store_client_->AsyncExists( + table_name_, item.first.Hex(), {exists_callback, *io_service_pool_->Get()}); } WaitPendingDone(); } @@ -189,8 +187,8 @@ class StoreClientTestBase : public ::testing::Test { for (auto &[key, _] : key_to_value_) { keys.push_back(key.Hex()); } - RAY_CHECK_OK(store_client_->AsyncBatchDelete( - table_name_, keys, {delete_callback, *io_service_pool_->Get()})); + store_client_->AsyncBatchDelete( + table_name_, keys, {delete_callback, *io_service_pool_->Get()}); WaitPendingDone(); } From f69332a0fad69089e08597f0fedb401aa41ac2c0 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 29 Aug 2025 14:05:39 -0700 Subject: [PATCH 0954/1566] [release test] always use images from previous pipeline steps (#56029) never try to build on one's own --------- Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/test.rayci.yml | 6 +- release/ray_release/byod/build.py | 111 ++----------------- release/ray_release/tests/test_byod_build.py | 30 ++--- 3 files changed, 23 insertions(+), 124 deletions(-) diff --git a/.buildkite/release/test.rayci.yml b/.buildkite/release/test.rayci.yml index 4faa7cf05fca..dd7d235780b0 100644 --- a/.buildkite/release/test.rayci.yml +++ b/.buildkite/release/test.rayci.yml @@ -8,4 +8,8 @@ steps: commands: - /bin/bash .buildkite/release/test-init.sh mount_buildkite_agent: true - depends_on: forge + depends_on: + - forge + - anyscalebuild + - anyscalellmbuild + - anyscalemlbuild diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 62ae1d62f3b3..882a73c24859 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -1,11 +1,8 @@ from typing import List, Optional, Dict -import boto3 -import hashlib import os import subprocess import sys -import time from ray_release.config import RELEASE_PACKAGE_DIR from ray_release.logger import logger @@ -15,19 +12,11 @@ bazel_workspace_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") -DATAPLANE_S3_BUCKET = "ray-release-automation-results" -DATAPLANE_FILENAME = "dataplane_20250624.tar.gz" -DATAPLANE_DIGEST = "3cffb55f1a56f0bc6256cbf1a38bf1e764e202a647a4272b80531760f1250059" -BASE_IMAGE_WAIT_TIMEOUT = 7200 -BASE_IMAGE_WAIT_DURATION = 30 RELEASE_BYOD_DIR = ( os.path.join(bazel_workspace_dir, "release/ray_release/byod") if bazel_workspace_dir else os.path.join(RELEASE_PACKAGE_DIR, "ray_release/byod") ) -REQUIREMENTS_BYOD = "requirements_byod" -REQUIREMENTS_LLM_BYOD = "requirements_llm_byod" -REQUIREMENTS_ML_BYOD = "requirements_ml_byod" def build_anyscale_custom_byod_image( @@ -60,85 +49,22 @@ def build_anyscale_custom_byod_image( _validate_and_push(image) -def build_anyscale_base_byod_images(tests: List[Test]) -> None: +def build_anyscale_base_byod_images(tests: List[Test]) -> List[str]: """ Builds the Anyscale BYOD images for the given tests. """ - _download_dataplane_build_file() - to_be_built = {} - built = set() + images = set() for test in tests: - to_be_built[test.get_anyscale_base_byod_image()] = test + images.add(test.get_anyscale_base_byod_image()) - env = os.environ.copy() - env["DOCKER_BUILDKIT"] = "1" - start = int(time.time()) - # ray images are built on post-merge, so we can wait for them to be available - while ( - len(built) < len(to_be_built) - and int(time.time()) - start < BASE_IMAGE_WAIT_TIMEOUT - ): - for byod_image, test in to_be_built.items(): - py_version = test.get_python_version() - if test.use_byod_ml_image(): - byod_requirements = f"{REQUIREMENTS_ML_BYOD}_{py_version}.txt" - elif test.use_byod_llm_image(): - byod_requirements = f"{REQUIREMENTS_LLM_BYOD}_{py_version}.txt" - else: - byod_requirements = f"{REQUIREMENTS_BYOD}_{py_version}.txt" - - if _image_exist(byod_image): - logger.info(f"Image {byod_image} already exists") - built.add(byod_image) - continue - ray_image = test.get_ray_image() - if not _image_exist(ray_image): - # TODO(can): instead of waiting for the base image to be built, we can - # build it ourselves - timeout = BASE_IMAGE_WAIT_TIMEOUT - (int(time.time()) - start) - logger.info( - f"Image {ray_image} does not exist yet. " - f"Wait for another {timeout}s..." - ) - time.sleep(BASE_IMAGE_WAIT_DURATION) - continue - logger.info(f"Building {byod_image} from {ray_image}") - with open(DATAPLANE_FILENAME, "rb") as build_file: - subprocess.check_call( - [ - "docker", - "build", - "--progress=plain", - "--build-arg", - f"BASE_IMAGE={ray_image}", - "-t", - byod_image, - "-", - ], - stdin=build_file, - stdout=sys.stderr, - env=env, - ) - subprocess.check_call( - [ - "docker", - "build", - "--progress=plain", - "--build-arg", - f"BASE_IMAGE={byod_image}", - "--build-arg", - f"PIP_REQUIREMENTS={byod_requirements}", - "-t", - byod_image, - "-f", - os.path.join(RELEASE_BYOD_DIR, "byod.Dockerfile"), - RELEASE_BYOD_DIR, - ], - stdout=sys.stderr, - env=env, - ) - _validate_and_push(byod_image) - built.add(byod_image) + image_list = list(images) + image_list.sort() + + for image in image_list: + if not _image_exist(image): + raise RuntimeError(f"Image {image} not found") + + return image_list def _validate_and_push(byod_image: str) -> None: @@ -189,21 +115,6 @@ def _get_ray_commit(envs: Optional[Dict[str, str]] = None) -> str: return "" -def _download_dataplane_build_file() -> None: - """ - Downloads the dataplane build file from S3. - """ - s3 = boto3.client("s3") - s3.download_file( - Bucket=DATAPLANE_S3_BUCKET, - Key=DATAPLANE_FILENAME, - Filename=DATAPLANE_FILENAME, - ) - with open(DATAPLANE_FILENAME, "rb") as build_context: - digest = hashlib.sha256(build_context.read()).hexdigest() - assert digest == DATAPLANE_DIGEST, "Mismatched dataplane digest found!" - - def _image_exist(image: str) -> bool: """ Checks if the given image exists in Docker diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 8548a309632f..039d302182a0 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -10,7 +10,6 @@ from ray_release.byod.build import ( build_anyscale_custom_byod_image, build_anyscale_base_byod_images, - DATAPLANE_FILENAME, _get_ray_commit, ) @@ -42,10 +41,6 @@ def test_get_ray_commit() -> None: init_global_config(bazel_runfile("release/ray_release/configs/oss_config.yaml")) -# Create a mock file to simulate the S3 download -with open(DATAPLANE_FILENAME, "wb") as f: - f.write(b"abc123") - def test_build_anyscale_custom_byod_image() -> None: cmds = [] @@ -83,28 +78,17 @@ def _mock_check_call( def test_build_anyscale_base_byod_images() -> None: - images = [] - - def _mock_validate_and_push(image: str) -> None: - images.append(image) - def _mock_image_exist(image: str) -> bool: - return "rayproject/ray" in image + return True with patch( - "ray_release.byod.build._download_dataplane_build_file", return_value=None - ), patch( "os.environ", { "BUILDKITE_COMMIT": "abc123", "RAYCI_BUILD_ID": "a1b2c3d4", }, - ), patch( - "subprocess.check_call", return_value=None - ), patch( + ), patch("subprocess.check_call", return_value=None), patch( "ray_release.byod.build._image_exist", side_effect=_mock_image_exist - ), patch( - "ray_release.byod.build._validate_and_push", side_effect=_mock_validate_and_push ): tests = [ Test(name="aws", env="aws", cluster={"byod": {}}), @@ -128,18 +112,18 @@ def _mock_image_exist(image: str) -> bool: ), Test(name="gce", env="gce", cluster={"byod": {}}), ] - build_anyscale_base_byod_images(tests) + images = build_anyscale_base_byod_images(tests) global_config = get_global_config() aws_cr = global_config["byod_aws_cr"] gcp_cr = global_config["byod_gcp_cr"] - assert images == [ + assert set(images) == { f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cpu", - f"{aws_cr}/anyscale/ray-ml:a1b2c3d4-py39-gpu", - f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cu121", f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cu116", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py39-cu121", f"{aws_cr}/anyscale/ray:a1b2c3d4-py311-cu118", + f"{aws_cr}/anyscale/ray-ml:a1b2c3d4-py39-gpu", f"{gcp_cr}/anyscale/ray:a1b2c3d4-py39-cpu", - ] + } if __name__ == "__main__": From e71e513e1dfc0a26b9cd0ff9fe605dd430b176ff Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Fri, 29 Aug 2025 16:24:39 -0500 Subject: [PATCH 0955/1566] [Serve.llm][dashboard] Add prefix cache hit rate to Serve LLM dashboard (#55675) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../dashboards/serve_llm_dashboard_panels.py | 76 +++++++++++-------- 1 file changed, 46 insertions(+), 30 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py index dff60f13a117..cc876bd17771 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py @@ -274,6 +274,43 @@ stack=False, grid_pos=GridPos(12, 40, 12, 8), ), + Panel( + id=28, + title="vLLM: Prefix Cache Hit Rate", + description="Percentage of prefix cache queries that resulted in a cache hit (GPU).", + unit="percentunit", + targets=[ + Target( + expr='increase(ray_vllm:gpu_prefix_cache_hits_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]) / increase(ray_vllm:gpu_prefix_cache_queries_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])', + legend="GPU: {{model_name}} - {{WorkerId}}", + ), + ], + fill=1, + linewidth=2, + stack=False, + grid_pos=GridPos(0, 48, 12, 8), + ), + Panel( + id=27, + title="Tokens Per Request Per Model Last 7 Days", + description="", + unit="Tokens", + targets=[ + Target( + expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="In: {{ model_name}}", + ), + Target( + expr='sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', + legend="Out: {{ model_name}}", + ), + ], + fill=1, + linewidth=2, + stack=False, + grid_pos=GridPos(12, 48, 12, 8), + template=PanelTemplate.GAUGE, + ), Panel( id=14, title="Tokens Last 24 Hours", @@ -292,7 +329,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(0, 48, 12, 8), + grid_pos=GridPos(0, 56, 12, 8), template=PanelTemplate.STAT, ), Panel( @@ -313,7 +350,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(12, 48, 12, 8), + grid_pos=GridPos(12, 56, 12, 8), template=PanelTemplate.STAT, ), Panel( @@ -330,7 +367,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(12, 56, 12, 8), + grid_pos=GridPos(0, 64, 12, 8), template=PanelTemplate.PIE_CHART, ), Panel( @@ -347,7 +384,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(0, 64, 12, 8), + grid_pos=GridPos(12, 64, 12, 8), template=PanelTemplate.STAT, ), Panel( @@ -364,7 +401,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(12, 64, 12, 8), + grid_pos=GridPos(0, 72, 12, 8), template=PanelTemplate.STAT, ), Panel( @@ -381,7 +418,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(0, 72, 12, 8), + grid_pos=GridPos(12, 72, 12, 8), template=PanelTemplate.STAT, ), Panel( @@ -398,7 +435,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(12, 72, 12, 8), + grid_pos=GridPos(0, 80, 12, 8), template=PanelTemplate.GAUGE, ), Panel( @@ -415,7 +452,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(0, 80, 12, 8), + grid_pos=GridPos(12, 80, 12, 8), template=PanelTemplate.GAUGE, ), Panel( @@ -432,7 +469,7 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(12, 80, 12, 8), + grid_pos=GridPos(0, 88, 12, 8), template=PanelTemplate.GAUGE, ), Panel( @@ -453,27 +490,6 @@ fill=1, linewidth=2, stack=False, - grid_pos=GridPos(0, 88, 12, 8), - template=PanelTemplate.GAUGE, - ), - Panel( - id=27, - title="Tokens Per Request Per Model Last 7 Days", - description="", - unit="Tokens", - targets=[ - Target( - expr='sum by (model_name) (delta(ray_vllm:prompt_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', - legend="In: {{ model_name}}", - ), - Target( - expr='sum by (model_name) (delta(ray_vllm:generation_tokens_total{{WorkerId=~"$workerid", {global_filters}}}[1w])) / sum by (model_name) (delta(ray_vllm:request_success_total{{WorkerId=~"$workerid", {global_filters}}}[1w]))', - legend="Out: {{ model_name}}", - ), - ], - fill=1, - linewidth=2, - stack=False, grid_pos=GridPos(12, 88, 12, 8), template=PanelTemplate.GAUGE, ), From 50a3835c1f0191401a1013be597f2b1baf5b8992 Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Sat, 30 Aug 2025 02:59:59 +0530 Subject: [PATCH 0956/1566] [Core] Enable ruff for python/ray/dag/ (#56075) Signed-off-by: czgdp1807 Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- pyproject.toml | 2 +- python/ray/dag/class_node.py | 13 +-- python/ray/dag/collective_node.py | 6 +- python/ray/dag/compiled_dag_node.py | 106 +++++++++--------- python/ray/dag/conftest.py | 1 + python/ray/dag/context.py | 3 +- python/ray/dag/dag_node.py | 30 +++-- python/ray/dag/dag_node_operation.py | 10 +- python/ray/dag/dag_operation_future.py | 6 +- python/ray/dag/function_node.py | 1 - python/ray/dag/input_node.py | 2 +- python/ray/dag/output_node.py | 4 +- python/ray/dag/py_obj_scanner.py | 4 +- .../ray/dag/tests/experimental/actor_defs.py | 5 +- .../tests/experimental/test_collective_dag.py | 3 +- .../experimental/test_compiled_graphs.py | 15 +-- .../experimental/test_cpu_communicator_dag.py | 8 +- .../experimental/test_dag_error_handling.py | 12 +- .../experimental/test_dag_visualization.py | 9 +- .../experimental/test_execution_schedule.py | 18 +-- .../test_execution_schedule_gpu.py | 8 +- .../experimental/test_mocked_nccl_dag.py | 7 +- .../tests/experimental/test_multi_args_gpu.py | 4 +- .../tests/experimental/test_multi_node_dag.py | 10 +- .../experimental/test_torch_tensor_dag.py | 22 ++-- .../test_torch_tensor_transport.py | 11 +- python/ray/dag/tests/test_input_node.py | 7 +- python/ray/dag/tests/test_output_node.py | 2 +- python/ray/dag/tests/test_plot.py | 3 +- python/ray/dag/tests/test_py_obj_scanner.py | 5 +- python/ray/dag/utils.py | 8 +- python/ray/dag/vis_utils.py | 3 +- 33 files changed, 172 insertions(+), 178 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7a19234ed517..97f83258dffb 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,7 +44,7 @@ repos: args: [ --fix, --exit-non-zero-on-fix ] - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] - files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/' + files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/dag/' - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" diff --git a/pyproject.toml b/pyproject.toml index 5d803303c12a..fde27ee07b05 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,7 +64,7 @@ afterray = ["psutil", "setproctitle"] "python/ray/__init__.py" = ["I"] "python/ray/setup-dev.py" = ["I"] "python/ray/cloudpickle/*" = ["I"] -"python/ray/dag/*.py" = ["I"] +"python/ray/dag/__init__.py" = ["I"] "python/ray/includes/*" = ["I"] "python/ray/internal/*" = ["I"] "python/ray/ray_operator/*" = ["I"] diff --git a/python/ray/dag/class_node.py b/python/ray/dag/class_node.py index 63d29086d34a..1a5b78e8e706 100644 --- a/python/ray/dag/class_node.py +++ b/python/ray/dag/class_node.py @@ -1,19 +1,18 @@ +from typing import Any, Dict, List, Optional, Tuple, Union from weakref import ReferenceType import ray -from ray.dag.dag_node import DAGNode -from ray.dag.input_node import InputNode -from ray.dag.format_utils import get_dag_node_str from ray.dag.constants import ( - PARENT_CLASS_NODE_KEY, - PREV_CLASS_METHOD_CALL_KEY, BIND_INDEX_KEY, IS_CLASS_METHOD_OUTPUT_KEY, + PARENT_CLASS_NODE_KEY, + PREV_CLASS_METHOD_CALL_KEY, ) +from ray.dag.dag_node import DAGNode +from ray.dag.format_utils import get_dag_node_str +from ray.dag.input_node import InputNode from ray.util.annotations import DeveloperAPI -from typing import Any, Dict, List, Union, Tuple, Optional - @DeveloperAPI class ClassNode(DAGNode): diff --git a/python/ray/dag/collective_node.py b/python/ray/dag/collective_node.py index ad55b8c1a08c..03609b20cc2e 100644 --- a/python/ray/dag/collective_node.py +++ b/python/ray/dag/collective_node.py @@ -1,21 +1,21 @@ -from typing import Any, Dict, List, Union, Tuple, Optional, TYPE_CHECKING +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union if TYPE_CHECKING: import torch import ray from ray.dag import ( - DAGNode, ClassMethodNode, + DAGNode, ) from ray.dag.constants import COLLECTIVE_OPERATION_KEY, IS_CLASS_METHOD_OUTPUT_KEY from ray.experimental.channel import ChannelContext from ray.experimental.channel.torch_tensor_type import Communicator, TorchTensorType from ray.experimental.util.types import ( - _CollectiveOp, AllGatherOp, AllReduceOp, ReduceScatterOp, + _CollectiveOp, ) from ray.util.annotations import DeveloperAPI diff --git a/python/ray/dag/compiled_dag_node.py b/python/ray/dag/compiled_dag_node.py index ce59c2c244da..2204cb40ab7b 100644 --- a/python/ray/dag/compiled_dag_node.py +++ b/python/ray/dag/compiled_dag_node.py @@ -1,89 +1,84 @@ -import weakref import asyncio +import logging +import threading +import time +import traceback +import uuid +import weakref from collections import defaultdict from contextlib import nullcontext -from dataclasses import dataclass, asdict +from dataclasses import asdict, dataclass from typing import ( Any, Dict, List, - Tuple, - Union, Optional, Set, + Tuple, + Union, ) -import logging -import threading -import time -import uuid -import traceback -from ray.experimental.channel.auto_transport_type import ( - AutoTransportType, - TypeHintResolver, -) +import ray import ray.exceptions -from ray.dag.dag_operation_future import GPUFuture, DAGOperationFuture, ResolvedFuture -from ray.experimental.channel.cached_channel import CachedChannel -from ray.experimental.channel.communicator import Communicator from ray.dag.constants import ( RAY_CGRAPH_ENABLE_NVTX_PROFILING, RAY_CGRAPH_ENABLE_TORCH_PROFILING, RAY_CGRAPH_VISUALIZE_SCHEDULE, ) -import ray +from ray.dag.dag_node_operation import ( + _build_dag_node_operation_graph, + _DAGNodeOperation, + _DAGNodeOperationType, + _DAGOperationGraphNode, + _extract_execution_schedule, + _generate_actor_to_execution_schedule, + _generate_overlapped_execution_schedule, + _visualize_execution_schedule, +) +from ray.dag.dag_operation_future import DAGOperationFuture, GPUFuture, ResolvedFuture from ray.exceptions import ( RayCgraphCapacityExceeded, - RayTaskError, RayChannelError, RayChannelTimeoutError, -) -from ray.experimental.compiled_dag_ref import ( - CompiledDAGRef, - CompiledDAGFuture, - _process_return_vals, + RayTaskError, ) from ray.experimental.channel import ( + AwaitableBackgroundReader, + AwaitableBackgroundWriter, ChannelContext, ChannelInterface, ChannelOutputType, - ReaderInterface, - SynchronousReader, - WriterInterface, - SynchronousWriter, - AwaitableBackgroundReader, - AwaitableBackgroundWriter, CompiledDAGArgs, CompositeChannel, IntraProcessChannel, + ReaderInterface, + SynchronousReader, + SynchronousWriter, + WriterInterface, ) -from ray.util.annotations import DeveloperAPI - +from ray.experimental.channel.accelerator_context import AcceleratorContext +from ray.experimental.channel.auto_transport_type import ( + AutoTransportType, + TypeHintResolver, +) +from ray.experimental.channel.cached_channel import CachedChannel +from ray.experimental.channel.communicator import Communicator from ray.experimental.channel.shared_memory_channel import ( SharedMemoryType, ) -from ray.experimental.channel.torch_tensor_type import TorchTensorType - from ray.experimental.channel.torch_tensor_accelerator_channel import ( - _init_communicator, _destroy_communicator, + _init_communicator, ) - -from ray.dag.dag_node_operation import ( - _DAGNodeOperation, - _DAGNodeOperationType, - _DAGOperationGraphNode, - _build_dag_node_operation_graph, - _extract_execution_schedule, - _generate_actor_to_execution_schedule, - _generate_overlapped_execution_schedule, - _visualize_execution_schedule, +from ray.experimental.channel.torch_tensor_type import TorchTensorType +from ray.experimental.compiled_dag_ref import ( + CompiledDAGFuture, + CompiledDAGRef, + _process_return_vals, ) - +from ray.util.annotations import DeveloperAPI from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy -from ray.experimental.channel.accelerator_context import AcceleratorContext - logger = logging.getLogger(__name__) # Keep tracking of every compiled dag created during the lifetime of @@ -370,6 +365,7 @@ def _device_context_manager(): return nullcontext() import torch + from ray.experimental.channel.accelerator_context import AcceleratorContext device = ChannelContext.get_current().torch_device @@ -1091,9 +1087,9 @@ def _preprocess(self) -> None: This function is idempotent. """ from ray.dag import ( - DAGNode, ClassMethodNode, CollectiveOutputNode, + DAGNode, FunctionNode, InputAttributeNode, InputNode, @@ -1491,8 +1487,8 @@ def _check_leaf_nodes(self) -> None: Check if there are leaf nodes in the DAG and raise an error if there are. """ from ray.dag import ( - DAGNode, ClassMethodNode, + DAGNode, ) leaf_nodes: List[DAGNode] = [] @@ -1565,11 +1561,11 @@ def _get_or_compile( outputs for the DAG. """ from ray.dag import ( + ClassMethodNode, DAGNode, - InputNode, InputAttributeNode, + InputNode, MultiOutputNode, - ClassMethodNode, ) if self.input_task_idx is None: @@ -2789,11 +2785,11 @@ def _visualize_ascii(self) -> str: """ from ray.dag import ( + ClassMethodNode, + DAGNode, InputAttributeNode, InputNode, MultiOutputNode, - ClassMethodNode, - DAGNode, ) # Check that the DAG has been compiled @@ -3097,11 +3093,11 @@ def visualize( "You can install it by running `pip install graphviz`." ) from ray.dag import ( + ClassMethodNode, + DAGNode, InputAttributeNode, InputNode, MultiOutputNode, - ClassMethodNode, - DAGNode, ) # Check that the DAG has been compiled diff --git a/python/ray/dag/conftest.py b/python/ray/dag/conftest.py index a350eb5be2d7..a6a1a22b89a8 100644 --- a/python/ray/dag/conftest.py +++ b/python/ray/dag/conftest.py @@ -1,4 +1,5 @@ import os + import pytest import ray diff --git a/python/ray/dag/context.py b/python/ray/dag/context.py index 37e29521603c..89fb981eb019 100644 --- a/python/ray/dag/context.py +++ b/python/ray/dag/context.py @@ -1,7 +1,8 @@ -from dataclasses import dataclass import os import threading +from dataclasses import dataclass from typing import Optional + from ray.util.annotations import DeveloperAPI # The context singleton on this process. diff --git a/python/ray/dag/dag_node.py b/python/ray/dag/dag_node.py index 8c43a7bf5f22..c2d0f0579df5 100644 --- a/python/ray/dag/dag_node.py +++ b/python/ray/dag/dag_node.py @@ -1,31 +1,29 @@ +import asyncio import copy -from ray.experimental.channel.auto_transport_type import AutoTransportType -from ray.experimental.channel.torch_tensor_type import TorchTensorType -import ray -from ray.dag.base import DAGNodeBase -from ray.dag.py_obj_scanner import _PyObjScanner -from ray.util.annotations import DeveloperAPI - +import uuid from itertools import chain - from typing import ( - Optional, - Union, - List, - Tuple, - Dict, Any, - TypeVar, Callable, + Dict, + List, Literal, + Optional, + Tuple, + TypeVar, + Union, ) -import uuid -import asyncio +import ray +from ray.dag.base import DAGNodeBase from ray.dag.compiled_dag_node import build_compiled_dag_from_ray_dag +from ray.dag.py_obj_scanner import _PyObjScanner from ray.experimental.channel import ChannelOutputType +from ray.experimental.channel.auto_transport_type import AutoTransportType from ray.experimental.channel.communicator import Communicator +from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.experimental.util.types import Device +from ray.util.annotations import DeveloperAPI T = TypeVar("T") diff --git a/python/ray/dag/dag_node_operation.py b/python/ray/dag/dag_node_operation.py index 52072eec12e9..5a192e9f5da2 100644 --- a/python/ray/dag/dag_node_operation.py +++ b/python/ray/dag/dag_node_operation.py @@ -1,12 +1,12 @@ -from functools import total_ordering -from enum import Enum -from typing import Set, Tuple, List, Dict, Optional import copy -import logging -import ray import heapq +import logging from collections import defaultdict +from enum import Enum +from functools import total_ordering +from typing import Dict, List, Optional, Set, Tuple +import ray logger = logging.getLogger(__name__) diff --git a/python/ray/dag/dag_operation_future.py b/python/ray/dag/dag_operation_future.py index acfc83d7c1d6..392c86286a99 100644 --- a/python/ray/dag/dag_operation_future.py +++ b/python/ray/dag/dag_operation_future.py @@ -1,8 +1,8 @@ from abc import ABC, abstractmethod -from typing import Any, Generic, TypeVar, Dict -from ray.util.annotations import DeveloperAPI -from ray.experimental.channel.accelerator_context import AcceleratorContext +from typing import Any, Dict, Generic, TypeVar +from ray.experimental.channel.accelerator_context import AcceleratorContext +from ray.util.annotations import DeveloperAPI T = TypeVar("T") diff --git a/python/ray/dag/function_node.py b/python/ray/dag/function_node.py index 4565fcffe8ff..b48c63509f2c 100644 --- a/python/ray/dag/function_node.py +++ b/python/ray/dag/function_node.py @@ -1,6 +1,5 @@ from typing import Any, Dict, List - import ray from ray.dag.dag_node import DAGNode from ray.dag.format_utils import get_dag_node_str diff --git a/python/ray/dag/input_node.py b/python/ray/dag/input_node.py index 83f212e4e58f..0386f84cb999 100644 --- a/python/ray/dag/input_node.py +++ b/python/ray/dag/input_node.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List, Union, Optional +from typing import Any, Dict, List, Optional, Union from ray.dag import DAGNode from ray.dag.format_utils import get_dag_node_str diff --git a/python/ray/dag/output_node.py b/python/ray/dag/output_node.py index f9abdf1643e0..fc0ec1a10026 100644 --- a/python/ray/dag/output_node.py +++ b/python/ray/dag/output_node.py @@ -1,6 +1,6 @@ -import ray -from typing import Any, Dict, List, Union, Tuple +from typing import Any, Dict, List, Tuple, Union +import ray from ray.dag import DAGNode from ray.dag.format_utils import get_dag_node_str from ray.util.annotations import DeveloperAPI diff --git a/python/ray/dag/py_obj_scanner.py b/python/ray/dag/py_obj_scanner.py index 6bd6b94ab535..d86b982c10e1 100644 --- a/python/ray/dag/py_obj_scanner.py +++ b/python/ray/dag/py_obj_scanner.py @@ -1,12 +1,10 @@ import io -from typing import Any, Dict, Generic, List, Tuple, Type, TypeVar, Union - import pickle # noqa: F401 +from typing import Any, Dict, Generic, List, Tuple, Type, TypeVar, Union import ray from ray.dag.base import DAGNodeBase - # Used in deserialization hooks to reference scanner instances. _instances: Dict[int, "_PyObjScanner"] = {} diff --git a/python/ray/dag/tests/experimental/actor_defs.py b/python/ray/dag/tests/experimental/actor_defs.py index 55603ef64268..a0446746bc78 100644 --- a/python/ray/dag/tests/experimental/actor_defs.py +++ b/python/ray/dag/tests/experimental/actor_defs.py @@ -1,7 +1,8 @@ -import ray import os -import time import random +import time + +import ray @ray.remote diff --git a/python/ray/dag/tests/experimental/test_collective_dag.py b/python/ray/dag/tests/experimental/test_collective_dag.py index cc14a3b36dfb..9c426791ec14 100644 --- a/python/ray/dag/tests/experimental/test_collective_dag.py +++ b/python/ray/dag/tests/experimental/test_collective_dag.py @@ -2,7 +2,8 @@ import logging import os import sys -from typing import Callable, List, Optional, Tuple, TYPE_CHECKING +from typing import TYPE_CHECKING, Callable, List, Optional, Tuple + import pytest import ray diff --git a/python/ray/dag/tests/experimental/test_compiled_graphs.py b/python/ray/dag/tests/experimental/test_compiled_graphs.py index 4195eb14a481..85b2a5083920 100644 --- a/python/ray/dag/tests/experimental/test_compiled_graphs.py +++ b/python/ray/dag/tests/experimental/test_compiled_graphs.py @@ -5,25 +5,22 @@ import re import sys import time -import numpy as np -import torch +import numpy as np import pytest +import torch - -from ray._private.test_utils import run_string_as_driver -from ray.exceptions import RayChannelTimeoutError import ray import ray._private import ray.cluster_utils -from ray.dag import DAGContext, InputNode, MultiOutputNode -from ray.tests.conftest import * # noqa from ray._common.utils import ( get_or_create_event_loop, ) - +from ray._private.test_utils import run_string_as_driver +from ray.dag import DAGContext, InputNode, MultiOutputNode from ray.dag.tests.experimental.actor_defs import Actor, Collector - +from ray.exceptions import RayChannelTimeoutError +from ray.tests.conftest import * # noqa logger = logging.getLogger(__name__) diff --git a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py index 0ec0a2ebd9e3..64a375985069 100644 --- a/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py +++ b/python/ray/dag/tests/experimental/test_cpu_communicator_dag.py @@ -1,16 +1,16 @@ import os import sys -import torch import pytest +import torch import ray import ray.cluster_utils -from ray.exceptions import RayChannelError, RayTaskError -from ray.experimental.channel.cpu_communicator import CPUCommunicator -from ray.dag import InputNode import ray.experimental.collective as collective +from ray.dag import InputNode from ray.dag.output_node import MultiOutputNode +from ray.exceptions import RayChannelError, RayTaskError +from ray.experimental.channel.cpu_communicator import CPUCommunicator from ray.tests.conftest import * # noqa diff --git a/python/ray/dag/tests/experimental/test_dag_error_handling.py b/python/ray/dag/tests/experimental/test_dag_error_handling.py index bb129a444ca3..e0753e2b4e22 100644 --- a/python/ray/dag/tests/experimental/test_dag_error_handling.py +++ b/python/ray/dag/tests/experimental/test_dag_error_handling.py @@ -3,18 +3,16 @@ import logging import pickle import re +import signal import sys import time import pytest - -from ray.exceptions import ActorDiedError, RayChannelError, RayChannelTimeoutError import ray import ray._private import ray.cluster_utils -from ray.dag import DAGContext, InputNode, MultiOutputNode -from ray.tests.conftest import * # noqa +from ray._common.test_utils import SignalActor from ray._common.utils import ( get_or_create_event_loop, ) @@ -22,10 +20,10 @@ run_string_as_driver_nonblocking, wait_for_pid_to_exit, ) -from ray._common.test_utils import SignalActor -import signal - +from ray.dag import DAGContext, InputNode, MultiOutputNode from ray.dag.tests.experimental.actor_defs import Actor +from ray.exceptions import ActorDiedError, RayChannelError, RayChannelTimeoutError +from ray.tests.conftest import * # noqa logger = logging.getLogger(__name__) diff --git a/python/ray/dag/tests/experimental/test_dag_visualization.py b/python/ray/dag/tests/experimental/test_dag_visualization.py index 4278df31a196..c2908ef63f1e 100644 --- a/python/ray/dag/tests/experimental/test_dag_visualization.py +++ b/python/ray/dag/tests/experimental/test_dag_visualization.py @@ -1,12 +1,13 @@ +import os import sys -import ray + import pydot -import os +import pytest + +import ray from ray.dag import InputNode, MultiOutputNode from ray.tests.conftest import * # noqa -import pytest - @pytest.fixture def cleanup_files(): diff --git a/python/ray/dag/tests/experimental/test_execution_schedule.py b/python/ray/dag/tests/experimental/test_execution_schedule.py index 46bd714d7f47..2c6e2a025dae 100644 --- a/python/ray/dag/tests/experimental/test_execution_schedule.py +++ b/python/ray/dag/tests/experimental/test_execution_schedule.py @@ -1,24 +1,24 @@ # coding: utf-8 import os import sys +from typing import Dict, List, Tuple import pytest -from ray.tests.conftest import * # noqa -from ray.dag import InputNode, MultiOutputNode, ClassMethodNode +from ray.actor import ActorHandle +from ray.dag import ClassMethodNode, InputNode, MultiOutputNode +from ray.dag.compiled_dag_node import CompiledTask from ray.dag.dag_node_operation import ( + _add_edge, + _build_dag_node_operation_graph, + _DAGNodeOperation, _DAGNodeOperationType, _DAGOperationGraphNode, - _DAGNodeOperation, _extract_execution_schedule, - _select_next_nodes, - _build_dag_node_operation_graph, - _add_edge, _generate_actor_to_execution_schedule, + _select_next_nodes, ) -from ray.dag.compiled_dag_node import CompiledTask -from typing import List, Dict, Tuple -from ray.actor import ActorHandle +from ray.tests.conftest import * # noqa if sys.platform != "linux" and sys.platform != "darwin": pytest.skip("Skipping, requires Linux or Mac.", allow_module_level=True) diff --git a/python/ray/dag/tests/experimental/test_execution_schedule_gpu.py b/python/ray/dag/tests/experimental/test_execution_schedule_gpu.py index 8bd3a9dbf751..639db895cff3 100644 --- a/python/ray/dag/tests/experimental/test_execution_schedule_gpu.py +++ b/python/ray/dag/tests/experimental/test_execution_schedule_gpu.py @@ -1,17 +1,17 @@ # coding: utf-8 import os import sys +from typing import Optional import pytest +import torch import ray import ray.cluster_utils -from ray.tests.conftest import * # noqa from ray.dag import InputNode, MultiOutputNode -from ray.dag.dag_node_operation import _DAGNodeOperationType -import torch -from typing import Optional from ray.dag.compiled_dag_node import CompiledDAG +from ray.dag.dag_node_operation import _DAGNodeOperationType +from ray.tests.conftest import * # noqa if sys.platform != "linux" and sys.platform != "darwin": pytest.skip("Skipping, requires Linux or Mac.", allow_module_level=True) diff --git a/python/ray/dag/tests/experimental/test_mocked_nccl_dag.py b/python/ray/dag/tests/experimental/test_mocked_nccl_dag.py index ad10e6d53c5f..0a5dae633792 100644 --- a/python/ray/dag/tests/experimental/test_mocked_nccl_dag.py +++ b/python/ray/dag/tests/experimental/test_mocked_nccl_dag.py @@ -2,20 +2,19 @@ import os import sys -from ray._common.test_utils import wait_for_condition -import torch - import pytest +import torch import ray import ray.cluster_utils +from ray._common.test_utils import wait_for_condition +from ray.dag import InputNode from ray.exceptions import RayChannelError, RayTaskError from ray.experimental.channel.conftest import ( Barrier, start_nccl_mock, ) from ray.tests.conftest import * # noqa -from ray.dag import InputNode def error_logged(capsys, msg): diff --git a/python/ray/dag/tests/experimental/test_multi_args_gpu.py b/python/ray/dag/tests/experimental/test_multi_args_gpu.py index 9a746b8b7f03..d0d88432c099 100644 --- a/python/ray/dag/tests/experimental/test_multi_args_gpu.py +++ b/python/ray/dag/tests/experimental/test_multi_args_gpu.py @@ -3,12 +3,12 @@ import sys import pytest +import torch import ray -from ray.dag import InputNode, MultiOutputNode import ray.cluster_utils +from ray.dag import InputNode, MultiOutputNode from ray.tests.conftest import * # noqa -import torch if sys.platform != "linux" and sys.platform != "darwin": pytest.skip("Skipping, requires Linux or Mac.", allow_module_level=True) diff --git a/python/ray/dag/tests/experimental/test_multi_node_dag.py b/python/ray/dag/tests/experimental/test_multi_node_dag.py index 92c38df66cb5..301f187115c9 100644 --- a/python/ray/dag/tests/experimental/test_multi_node_dag.py +++ b/python/ray/dag/tests/experimental/test_multi_node_dag.py @@ -1,14 +1,16 @@ -import random -import ray import os +import random import sys import time + import pytest + +import ray +import ray.remote_function from ray._common.test_utils import wait_for_condition from ray.dag import InputNode, MultiOutputNode -import ray.remote_function -from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy from ray.tests.conftest import * # noqa +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy if sys.platform != "linux" and sys.platform != "darwin": pytest.skip("Skipping, requires Linux or Mac.", allow_module_level=True) diff --git a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py index 24c4d2524ff8..84ceb2d17f43 100644 --- a/python/ray/dag/tests/experimental/test_torch_tensor_dag.py +++ b/python/ray/dag/tests/experimental/test_torch_tensor_dag.py @@ -3,31 +3,31 @@ import os import socket import sys +import time from typing import List, Optional, Tuple import pytest +import torch + import ray import ray.cluster_utils import ray.experimental.collective as collective -import torch -import time +from ray._private.test_utils import ( + get_log_message, + init_log_pubsub, +) from ray.dag import InputNode -from ray.exceptions import RayChannelError, RayTaskError from ray.dag.output_node import MultiOutputNode +from ray.exceptions import RayChannelError, RayTaskError +from ray.experimental.channel.accelerator_context import AcceleratorContext from ray.experimental.channel.communicator import ( Communicator, TorchTensorAllocator, ) -from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.experimental.channel.nccl_group import _NcclGroup -from ray._private.test_utils import ( - get_log_message, - init_log_pubsub, -) - -from ray.tests.conftest import * # noqa +from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.experimental.util.types import ReduceOp -from ray.experimental.channel.accelerator_context import AcceleratorContext +from ray.tests.conftest import * # noqa logger = logging.getLogger(__name__) diff --git a/python/ray/dag/tests/experimental/test_torch_tensor_transport.py b/python/ray/dag/tests/experimental/test_torch_tensor_transport.py index 5ec1f2526e75..84722ef2f7db 100644 --- a/python/ray/dag/tests/experimental/test_torch_tensor_transport.py +++ b/python/ray/dag/tests/experimental/test_torch_tensor_transport.py @@ -1,13 +1,14 @@ -import ray import os import sys -import torch -import pytest from typing import Dict + +import pytest +import torch + +import ray from ray.dag import InputNode -from ray.exceptions import RayTaskError +from ray.exceptions import RaySystemError, RayTaskError from ray.tests.conftest import * # noqa -from ray.exceptions import RaySystemError if sys.platform != "linux" and sys.platform != "darwin": pytest.skip("Skipping, requires Linux or Mac.", allow_module_level=True) diff --git a/python/ray/dag/tests/test_input_node.py b/python/ray/dag/tests/test_input_node.py index 6874ff21cfd1..e5b54e6c60fd 100644 --- a/python/ray/dag/tests/test_input_node.py +++ b/python/ray/dag/tests/test_input_node.py @@ -3,12 +3,13 @@ request, for all DAGNode types. """ -import pytest -from ray.dag.dag_node import DAGNode -from ray.dag.input_node import InputNode from typing import Any, TypeVar +import pytest + import ray +from ray.dag.dag_node import DAGNode +from ray.dag.input_node import InputNode RayHandleLike = TypeVar("RayHandleLike") diff --git a/python/ray/dag/tests/test_output_node.py b/python/ray/dag/tests/test_output_node.py index 95890b5b6b30..795e736cdfa7 100644 --- a/python/ray/dag/tests/test_output_node.py +++ b/python/ray/dag/tests/test_output_node.py @@ -1,10 +1,10 @@ import pytest import ray +from ray._common.test_utils import wait_for_condition from ray.dag.input_node import InputNode from ray.dag.output_node import MultiOutputNode from ray.util.state import list_tasks -from ray._common.test_utils import wait_for_condition def test_output_node(shared_ray_instance): diff --git a/python/ray/dag/tests/test_plot.py b/python/ray/dag/tests/test_plot.py index d6e00f14b3ef..d3d1244e3ecf 100644 --- a/python/ray/dag/tests/test_plot.py +++ b/python/ray/dag/tests/test_plot.py @@ -1,8 +1,9 @@ import os -import pytest import sys import tempfile +import pytest + import ray diff --git a/python/ray/dag/tests/test_py_obj_scanner.py b/python/ray/dag/tests/test_py_obj_scanner.py index c07fdd499e38..104e6dc94d8f 100644 --- a/python/ray/dag/tests/test_py_obj_scanner.py +++ b/python/ray/dag/tests/test_py_obj_scanner.py @@ -1,7 +1,8 @@ -import pytest from typing import Any -from ray.dag.py_obj_scanner import _PyObjScanner, _instances +import pytest + +from ray.dag.py_obj_scanner import _instances, _PyObjScanner class Source: diff --git a/python/ray/dag/utils.py b/python/ray/dag/utils.py index ce96b3c27a8a..2fe1f3adf3d7 100644 --- a/python/ray/dag/utils.py +++ b/python/ray/dag/utils.py @@ -1,12 +1,12 @@ from typing import Dict from ray.dag import ( + ClassMethodNode, + ClassNode, DAGNode, - InputNode, - InputAttributeNode, FunctionNode, - ClassNode, - ClassMethodNode, + InputAttributeNode, + InputNode, MultiOutputNode, ) diff --git a/python/ray/dag/vis_utils.py b/python/ray/dag/vis_utils.py index c5a3b5cbc096..1274a53cc20d 100644 --- a/python/ray/dag/vis_utils.py +++ b/python/ray/dag/vis_utils.py @@ -1,8 +1,7 @@ -from ray.dag import DAGNode - import os import tempfile +from ray.dag import DAGNode from ray.dag.utils import _DAGNodeNameGenerator from ray.util.annotations import DeveloperAPI From 8e9c6240a9c0225970620f43bf9f16d041cca8dc Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 29 Aug 2025 15:05:16 -0700 Subject: [PATCH 0957/1566] [ci] raydepsets: removing duplicate utils (#56095) removing duplicate testing utils file Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/testing_utils.py | 45 ---------------------------------- 1 file changed, 45 deletions(-) delete mode 100644 ci/raydepsets/testing_utils.py diff --git a/ci/raydepsets/testing_utils.py b/ci/raydepsets/testing_utils.py deleted file mode 100644 index 38f595ce7003..000000000000 --- a/ci/raydepsets/testing_utils.py +++ /dev/null @@ -1,45 +0,0 @@ -"""Shared test utilities for raydepsets tests.""" - -import shutil - -import runfiles - -_REPO_NAME = "io_ray" -_runfiles = runfiles.Create() - - -def copy_data_to_tmpdir(tmpdir): - """Copy test data to a temporary directory.""" - shutil.copytree( - _runfiles.Rlocation(f"{_REPO_NAME}/ci/raydepsets/test_data"), - tmpdir, - dirs_exist_ok=True, - ) - - -def replace_in_file(filepath, old, new): - with open(filepath, "r") as f: - contents = f.read() - - contents = contents.replace(old, new) - - with open(filepath, "w") as f: - f.write(contents) - - -def save_packages_to_file(filepath, packages): - with open(filepath, "w") as f: - for package in packages: - f.write(package + "\n") - - -def save_file_as(input_file, output_file): - with open(input_file, "rb") as f: - contents = f.read() - with open(output_file, "wb") as f: - f.write(contents) - - -def append_to_file(filepath, new): - with open(filepath, "a") as f: - f.write(new + "\n") From 1b301f182374a12fad4de05eeb9b05946ef78db2 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Fri, 29 Aug 2025 18:32:29 -0500 Subject: [PATCH 0958/1566] [core] Remove `gcs_rpc_server.h` (#56062) No longer used; all targets have been moved to `gcs_server/grpc_service_interfaces.h` --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 3 +- src/ray/gcs/gcs_server/gcs_server.h | 2 +- src/ray/rpc/BUILD.bazel | 20 -------------- src/ray/rpc/gcs/gcs_rpc_server.h | 43 ----------------------------- 4 files changed, 2 insertions(+), 66 deletions(-) delete mode 100644 src/ray/rpc/gcs/gcs_rpc_server.h diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 45b348dba6e8..fd3ad8b2c890 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -108,7 +108,6 @@ ray_cc_library( "//src/ray/protobuf:ray_syncer_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_manager", - "//src/ray/rpc:gcs_server", "//src/ray/stats:stats_metric", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", @@ -524,7 +523,7 @@ ray_cc_library( "//src/ray/raylet/scheduling:scheduler", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:gcs_server", + "//src/ray/rpc:grpc_server", "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 5a4ece5e4b21..fc4ca3d63239 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -40,7 +40,7 @@ #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/rpc/client_call.h" -#include "ray/rpc/gcs/gcs_rpc_server.h" +#include "ray/rpc/grpc_server.h" #include "ray/rpc/metrics_agent_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index a1bf901ab98f..4260d0065844 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -181,26 +181,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "gcs_server", - hdrs = [ - "gcs/gcs_rpc_server.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":grpc_server", - ":server_call", - "//src/ray/common:asio", - "//src/ray/common:id", - "//src/ray/common:ray_config", - "//src/ray/protobuf:autoscaler_cc_grpc", - "//src/ray/protobuf:events_event_aggregator_service_cc_grpc", - "//src/ray/protobuf:gcs_service_cc_grpc", - "@boost//:asio", - "@com_github_grpc_grpc//:grpc++", - ], -) - ray_cc_library( name = "object_manager_client", hdrs = [ diff --git a/src/ray/rpc/gcs/gcs_rpc_server.h b/src/ray/rpc/gcs/gcs_rpc_server.h deleted file mode 100644 index 0e797263efda..000000000000 --- a/src/ray/rpc/gcs/gcs_rpc_server.h +++ /dev/null @@ -1,43 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include - -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/id.h" -#include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" -#include "src/ray/protobuf/autoscaler.grpc.pb.h" -#include "src/ray/protobuf/events_event_aggregator_service.pb.h" -#include "src/ray/protobuf/gcs_service.grpc.pb.h" - -// Most of our RPC templates, if not all, expect messages in the ray::rpc protobuf -// namespace. Since the following two messages are defined under the rpc::events -// namespace, we treat them as if they were part of ray::rpc for compatibility. -using ray::rpc::events::AddEventsReply; -using ray::rpc::events::AddEventsRequest; - -namespace ray { -namespace rpc { - -#define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ - reply->mutable_status()->set_code(static_cast(status.code())); \ - reply->mutable_status()->set_message(status.message()); \ - send_reply_callback(ray::Status::OK(), nullptr, nullptr) - -} // namespace rpc -} // namespace ray From 33bf3e1919a9b980be9942906012f545a7a4561c Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 29 Aug 2025 16:39:13 -0700 Subject: [PATCH 0959/1566] [ci] build & test placeholder wheel (#55594) - Building and testing placeholder wheel --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 25 ++++++++++++++ ci/build/test-linux-placeholder-wheel.sh | 42 ++++++++++++++++++++++++ ci/ray_ci/builder_container.py | 1 + python/setup.py | 14 ++++++-- 4 files changed, 79 insertions(+), 3 deletions(-) create mode 100755 ci/build/test-linux-placeholder-wheel.sh diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 01256a3b63c8..3ca111f3ad16 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -19,6 +19,31 @@ steps: - manylinux - forge + - label: ":tapioca: build & test placeholder wheel {{matrix}}" + key: placeholder_wheels + tags: + - python + instance_type: medium + commands: + # validate minimal installation + - python ./ci/env/check_minimal_install.py --expected-python-version {{matrix}} + - python -m pip install --upgrade pip + # build placeholder wheel + - export RAY_DEBUG_BUILD=deps-only + - mkdir -p .whl + - pip wheel python/ --no-deps -w .whl/ --use-pep517 + - ls -a .whl + # test placeholder wheel + - ./ci/build/test-linux-placeholder-wheel.sh {{matrix}} + depends_on: + - minbuild-core + job_env: minbuild-core-py{{matrix}} + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + - label: ":tapioca: build: jar" key: java_wheels tags: diff --git a/ci/build/test-linux-placeholder-wheel.sh b/ci/build/test-linux-placeholder-wheel.sh new file mode 100755 index 000000000000..921f7ee05b6d --- /dev/null +++ b/ci/build/test-linux-placeholder-wheel.sh @@ -0,0 +1,42 @@ +#!/bin/bash +set -exuo pipefail + +PYTHON="$1" + +if [[ ! "${OSTYPE}" =~ ^linux ]]; then + echo "ERROR: This wheel test script is only for Linux platforms." >/dev/stderr + exit 1 +fi + +PYTHON_VERSION="${PYTHON//./}" + +which python + +which pip + +RAY_PLACEHOLDER_VERSION="100.0.0-dev" +MINIFORGE_BIN_PATH="/opt/miniforge/bin" +PYTHON_EXE="${MINIFORGE_BIN_PATH}/python" +PIP_CMD="${MINIFORGE_BIN_PATH}/pip" +PIP_COMPILE_CMD="${MINIFORGE_BIN_PATH}/pip-compile" +# Find the appropriate wheel by grepping for the Python version. +PYTHON_WHEEL=$(find ./.whl -maxdepth 1 -type f -name "*${PYTHON_VERSION}*.whl" -print -quit) + +if [[ -z "$PYTHON_WHEEL" ]]; then + echo "No wheel found for pattern *${PYTHON_VERSION}*.whl" >/dev/stderr + exit 1 +fi + +"$PYTHON_EXE" --version + +"$PIP_CMD" install --upgrade pip + +"$PIP_CMD" install pip-tools + +"$PIP_COMPILE_CMD" --version + +echo "ray[all]==${RAY_PLACEHOLDER_VERSION}" > ray-requirement.txt + +"$PIP_COMPILE_CMD" ray-requirement.txt -o /ray.lock --find-links=.whl/ + +echo "✅ Completed ray placeholder wheel test" diff --git a/ci/ray_ci/builder_container.py b/ci/ray_ci/builder_container.py index 84e5c78ed634..f3601d47b779 100644 --- a/ci/ray_ci/builder_container.py +++ b/ci/ray_ci/builder_container.py @@ -62,6 +62,7 @@ def run(self) -> None: f"./ci/build/build-manylinux-wheel.sh {self.bin_path}", "chown -R 2000:100 /artifact-mount", ] + if self.upload: cmds += ["./ci/build/copy_build_artifacts.sh wheel"] self.run_script(cmds) diff --git a/python/setup.py b/python/setup.py index bae70a9a265e..7f65cf5ef2cd 100644 --- a/python/setup.py +++ b/python/setup.py @@ -38,7 +38,7 @@ RUNTIME_ENV_AGENT_THIRDPARTY_SUBDIR = os.path.join( "ray", "_private", "runtime_env", "agent", "thirdparty_files" ) - +DEPS_ONLY_VERSION = "100.0.0-dev" # In automated builds, we do a few adjustments before building. For instance, # the bazel environment is set up slightly differently, and symlinks are # replaced with junctions in Windows. This variable is set in our conda-forge @@ -71,6 +71,7 @@ class BuildType(Enum): DEBUG = 2 ASAN = 3 TSAN = 4 + DEPS_ONLY = 5 class SetupSpec: @@ -87,6 +88,8 @@ def __init__( self.version: str = f"{version}+asan" elif build_type == BuildType.TSAN: self.version: str = f"{version}+tsan" + elif build_type == BuildType.DEPS_ONLY: + self.version: str = DEPS_ONLY_VERSION else: self.version = version self.description: str = description @@ -96,7 +99,7 @@ def __init__( self.extras: dict = {} def get_packages(self): - if self.type == SetupType.RAY: + if self.type == SetupType.RAY and self.build_type != BuildType.DEPS_ONLY: return setuptools.find_packages(exclude=("tests", "*.tests", "*.tests.*")) else: return [] @@ -109,6 +112,8 @@ def get_packages(self): BUILD_TYPE = BuildType.ASAN elif build_type == "tsan": BUILD_TYPE = BuildType.TSAN +elif build_type == "deps-only": + BUILD_TYPE = BuildType.DEPS_ONLY else: BUILD_TYPE = BuildType.DEFAULT @@ -701,12 +706,15 @@ def copy_file(target_dir, filename, rootdir): def pip_run(build_ext): - if SKIP_BAZEL_BUILD: + if SKIP_BAZEL_BUILD or setup_spec.build_type == BuildType.DEPS_ONLY: build(False, False, False) else: build(True, BUILD_JAVA, BUILD_CPP) if setup_spec.type == SetupType.RAY: + if setup_spec.build_type == BuildType.DEPS_ONLY: + setup_spec.files_to_include = [] + return setup_spec.files_to_include += ray_files thirdparty_dir = os.path.join(ROOT_DIR, THIRDPARTY_SUBDIR) From 2f0c6c80be46f6fae3d6b4944341bdb7aa75fefe Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 29 Aug 2025 18:43:13 -0700 Subject: [PATCH 0960/1566] [deps] add adlfs[abfs] (#56084) into ray images Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-deps/Dockerfile | 1 + docker/base-slim/Dockerfile | 1 + python/deplocks/llm/ray_test_py311_cpu.lock | 20 +++++++++++++++++++ python/deplocks/llm/ray_test_py311_cu121.lock | 20 +++++++++++++++++++ python/deplocks/llm/ray_test_py311_cu128.lock | 20 +++++++++++++++++++ .../deplocks/llm/rayllm_test_py311_cpu.lock | 20 +++++++++++++++++++ .../deplocks/llm/rayllm_test_py311_cu121.lock | 20 +++++++++++++++++++ .../deplocks/llm/rayllm_test_py311_cu128.lock | 20 +++++++++++++++++++ python/requirements/cloud-requirements.txt | 1 + python/requirements_compiled.txt | 15 +++++++++++++- 10 files changed, 137 insertions(+), 1 deletion(-) diff --git a/docker/base-deps/Dockerfile b/docker/base-deps/Dockerfile index 2857ec1cb34f..f86e70e5fc66 100644 --- a/docker/base-deps/Dockerfile +++ b/docker/base-deps/Dockerfile @@ -117,6 +117,7 @@ PIP_PKGS=( cryptography google-api-python-client google-oauth + "adlfs[abfs]" ) # Install uv diff --git a/docker/base-slim/Dockerfile b/docker/base-slim/Dockerfile index 259bfba3d19c..2a3e62d2cc9d 100644 --- a/docker/base-slim/Dockerfile +++ b/docker/base-slim/Dockerfile @@ -124,6 +124,7 @@ PIP_PKGS=( anyscale packaging azure-identity + "adlfs[abfs]" boto3 google-cloud-storage jupyterlab diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index a5778d763b58..4c7476294eaf 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -101,6 +107,7 @@ aiohttp==3.11.16 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp aiohttp-cors==0.7.0 \ @@ -211,20 +218,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -346,6 +362,7 @@ cffi==1.16.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # argon2-cffi-bindings + # azure-datalake-store # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -860,6 +877,7 @@ fsspec==2023.5.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt + # adlfs gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b @@ -1593,6 +1611,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -2734,6 +2753,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # jupyterlab-server diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index 9d7dd16bc2b9..92c04a8fb0ea 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -101,6 +107,7 @@ aiohttp==3.11.16 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp aiohttp-cors==0.7.0 \ @@ -211,20 +218,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -346,6 +362,7 @@ cffi==1.16.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # argon2-cffi-bindings + # azure-datalake-store # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -860,6 +877,7 @@ fsspec==2023.5.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt + # adlfs gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b @@ -1593,6 +1611,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -2734,6 +2753,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # jupyterlab-server diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index 8bde8ef1045a..04402a5fd426 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -101,6 +107,7 @@ aiohttp==3.11.16 \ # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp aiohttp-cors==0.7.0 \ @@ -211,20 +218,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c /tmp/ray-deps/requirements_compiled.txt + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -346,6 +362,7 @@ cffi==1.16.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # argon2-cffi-bindings + # azure-datalake-store # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -860,6 +877,7 @@ fsspec==2023.5.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt + # adlfs gitdb==4.0.11 \ --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b @@ -1593,6 +1611,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c /tmp/ray-deps/requirements_compiled.txt + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -2734,6 +2753,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # jupyterlab-server diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index d52e9ae3b25a..04c9ddb2de7b 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/deplocks/llm/ray_test_py311_cpu.lock + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -102,6 +108,7 @@ aiohttp==3.11.16 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp # vllm @@ -223,20 +230,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c python/deplocks/llm/ray_test_py311_cpu.lock + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/deplocks/llm/ray_test_py311_cpu.lock + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -499,6 +515,7 @@ cffi==1.16.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # argon2-cffi-bindings + # azure-datalake-store # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -1064,6 +1081,7 @@ fsspec==2023.5.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt + # adlfs # huggingface-hub # torch gguf==0.16.2 \ @@ -2100,6 +2118,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c python/deplocks/llm/ray_test_py311_cpu.lock + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -3725,6 +3744,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # huggingface-hub diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index eea2023989b0..18d46b031806 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/deplocks/llm/ray_test_py311_cu121.lock + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -102,6 +108,7 @@ aiohttp==3.11.16 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp # vllm @@ -223,20 +230,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c python/deplocks/llm/ray_test_py311_cu121.lock + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/deplocks/llm/ray_test_py311_cu121.lock + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -499,6 +515,7 @@ cffi==1.16.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # argon2-cffi-bindings + # azure-datalake-store # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -1064,6 +1081,7 @@ fsspec==2023.5.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt + # adlfs # huggingface-hub # torch gguf==0.16.2 \ @@ -2100,6 +2118,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c python/deplocks/llm/ray_test_py311_cu121.lock + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -3816,6 +3835,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # huggingface-hub diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index f750627c7e8a..bea79b3cf3b6 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -3,6 +3,12 @@ --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/deplocks/llm/ray_test_py311_cu128.lock + # -r python/requirements/cloud-requirements.txt aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 @@ -102,6 +108,7 @@ aiohttp==3.11.16 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements/llm/llm-test-requirements.txt # -r python/requirements.txt + # adlfs # aiohttp-cors # pytest-aiohttp # vllm @@ -223,20 +230,29 @@ azure-core==1.29.5 \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c python/deplocks/llm/ray_test_py311_cu128.lock + # adlfs # azure-identity # azure-storage-blob # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/deplocks/llm/ray_test_py311_cu128.lock + # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt + # adlfs azure-storage-blob==12.22.0 \ --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock + # adlfs # smart-open babel==2.13.1 \ --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ @@ -499,6 +515,7 @@ cffi==1.16.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # argon2-cffi-bindings + # azure-datalake-store # cryptography # soundfile charset-normalizer==3.3.2 \ @@ -1063,6 +1080,7 @@ fsspec==2023.5.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt + # adlfs # huggingface-hub # torch gguf==0.17.0 \ @@ -2064,6 +2082,7 @@ msal==1.28.1 \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c python/deplocks/llm/ray_test_py311_cu128.lock + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 \ @@ -3739,6 +3758,7 @@ requests==2.32.3 \ # -r python/requirements/cloud-requirements.txt # -r python/requirements.txt # azure-core + # azure-datalake-store # google-api-core # google-cloud-storage # huggingface-hub diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index 2865270b4bb2..6f8677797288 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -9,6 +9,7 @@ certifi pycurl azure-identity smart_open[s3,gcs,azure,http] +adlfs[abfs] # Anyscale CLI requirements boto3>=1.26.76 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index f66c65c7b33f..03fbe19cc80f 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -24,6 +24,8 @@ adagio==0.2.4 # qpd adal==1.2.7 # via msrestazure +adlfs==2023.8.0 + # via -r python/requirements/cloud-requirements.txt aim==3.23.0 ; python_version < "3.12" # via -r python/requirements/ml/tune-test-requirements.txt aim-ui==3.23.0 @@ -50,6 +52,7 @@ aiohttp==3.11.16 # -r python/requirements.txt # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt + # adlfs # aiobotocore # aiohttp-cors # delta-sharing @@ -160,15 +163,19 @@ azure-common==1.1.28 # smart-open azure-core==1.29.5 # via + # adlfs # azure-identity # azure-mgmt-core # azure-storage-blob # msrest # smart-open +azure-datalake-store==0.0.53 + # via adlfs azure-identity==1.17.1 # via # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt + # adlfs azure-mgmt-compute==31.0.0 # via -r python/requirements/test-requirements.txt azure-mgmt-core==1.4.0 @@ -182,7 +189,9 @@ azure-mgmt-network==25.4.0 azure-mgmt-resource==23.1.1 # via -r python/requirements/test-requirements.txt azure-storage-blob==12.22.0 - # via smart-open + # via + # adlfs + # smart-open babel==2.13.1 # via # jupyterlab-server @@ -270,6 +279,7 @@ certifi==2025.1.31 cffi==1.16.0 # via # argon2-cffi-bindings + # azure-datalake-store # cryptography # pymunk # pynacl @@ -566,6 +576,7 @@ fs==2.4.16 fsspec==2023.5.0 # via # -r python/requirements.txt + # adlfs # dask # datasets # delta-sharing @@ -1096,6 +1107,7 @@ mpmath==1.3.0 msal==1.28.1 # via # azure-cli-core + # azure-datalake-store # azure-identity # msal-extensions msal-extensions==1.2.0b1 @@ -1861,6 +1873,7 @@ requests==2.32.3 # aim # azure-cli-core # azure-core + # azure-datalake-store # comet-ml # databricks-sdk # datasets From 641594ba1bef874ecde138aec356ee8622ed1659 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Sat, 30 Aug 2025 09:48:27 -0500 Subject: [PATCH 0961/1566] [core] Remove unnecessary `core_worker_client` dependency (#56117) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_server/BUILD.bazel | 1 - src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h | 1 - 2 files changed, 2 deletions(-) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index fd3ad8b2c890..2e49691bc518 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -289,7 +289,6 @@ ray_cc_library( "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:scheduling_context", "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:core_worker_client", "//src/ray/rpc:node_manager_client", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 61b7fa651a79..ee3b7a44e161 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -33,7 +33,6 @@ #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/node_manager_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { From f2a5a520442e24e0d6eada70772a517e6eed3339 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 30 Aug 2025 13:04:05 -0700 Subject: [PATCH 0962/1566] [wheel] build wheel with -v (#56119) so that we can see how the bazel action goes and if they are hitting the build cache Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-wheel.sh | 4 ++-- python/build-wheel-macos.sh | 2 +- python/build-wheel-windows.sh | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/ci/build/build-manylinux-wheel.sh b/ci/build/build-manylinux-wheel.sh index a324091b7903..b2b1abdadaa7 100755 --- a/ci/build/build-manylinux-wheel.sh +++ b/ci/build/build-manylinux-wheel.sh @@ -28,13 +28,13 @@ sudo ln -sf "/opt/python/${PYTHON}/bin/python3" /usr/local/bin/python3 # build ray wheel PATH="/opt/python/${PYTHON}/bin:$PATH" RAY_INSTALL_JAVA=0 \ -"/opt/python/${PYTHON}/bin/python" -m pip wheel -q -w dist . --no-deps +"/opt/python/${PYTHON}/bin/python" -m pip wheel -v -w dist . --no-deps if [[ "${RAY_DISABLE_EXTRA_CPP:-}" != 1 ]]; then # build ray-cpp wheel PATH="/opt/python/${PYTHON}/bin:$PATH" RAY_INSTALL_JAVA=0 \ - RAY_INSTALL_CPP=1 "/opt/python/${PYTHON}/bin/python" -m pip wheel -q -w dist . --no-deps + RAY_INSTALL_CPP=1 "/opt/python/${PYTHON}/bin/python" -m pip wheel -v -w dist . --no-deps fi # Rename the wheels so that they can be uploaded to PyPI. TODO(rkn): This is a diff --git a/python/build-wheel-macos.sh b/python/build-wheel-macos.sh index 9837a007f8eb..3b8b0103aefc 100755 --- a/python/build-wheel-macos.sh +++ b/python/build-wheel-macos.sh @@ -82,7 +82,7 @@ for ((i=0; i<${#PY_MMS[@]}; ++i)); do # Add the correct Python to the path and build the wheel. This is only # needed so that the installation finds the cython executable. # build ray wheel - $PIP_CMD wheel -q -w dist . --no-deps + $PIP_CMD wheel -v -w dist . --no-deps # build ray-cpp wheel RAY_INSTALL_CPP=1 $PIP_CMD wheel -q -w dist . --no-deps mv dist/*.whl ../.whl/ diff --git a/python/build-wheel-windows.sh b/python/build-wheel-windows.sh index 3a4b22e8b890..623d4db613a2 100755 --- a/python/build-wheel-windows.sh +++ b/python/build-wheel-windows.sh @@ -130,11 +130,11 @@ build_wheel_windows() { exit 1 fi # build ray wheel - python -m pip wheel -q -w dist . --no-deps + python -m pip wheel -v -w dist . --no-deps # Pack any needed system dlls like msvcp140.dll delvewheel repair dist/ray-*.whl # build ray-cpp wheel - RAY_INSTALL_CPP=1 python -m pip wheel -q -w dist . --no-deps + RAY_INSTALL_CPP=1 python -m pip wheel -v -w dist . --no-deps # No extra dlls are needed, do not call delvewheel uninstall_ray ) From e02e1a2bd787db79e442d51fa46e030a72cee2ff Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Sun, 31 Aug 2025 16:02:08 -0700 Subject: [PATCH 0963/1566] [core] Remove Driver Specific LeaseID (#56090) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/common/id.cc | 7 -- src/ray/common/id.h | 9 --- .../task_submission/normal_task_submitter.cc | 2 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.cc | 2 +- src/ray/raylet/node_manager.cc | 8 +- src/ray/raylet/tests/worker_pool_test.cc | 75 +++++++------------ src/ray/raylet/worker.cc | 1 + src/ray/raylet/worker.h | 1 + src/ray/raylet/worker_pool.cc | 4 +- 9 files changed, 34 insertions(+), 75 deletions(-) diff --git a/src/ray/common/id.cc b/src/ray/common/id.cc index 65ace9147bed..646fe65abb78 100644 --- a/src/ray/common/id.cc +++ b/src/ray/common/id.cc @@ -322,19 +322,12 @@ LeaseID LeaseID::FromRandom() { } LeaseID LeaseID::FromWorker(const WorkerID &worker_id, uint32_t counter) { - RAY_CHECK_GT(counter, 0u); std::string data(kUniqueBytesLength, 0); std::memcpy(data.data(), &counter, sizeof(counter)); std::copy_n(worker_id.Data(), kUniqueIDSize, std::back_inserter(data)); return LeaseID::FromBinary(data); } -LeaseID LeaseID::DriverLeaseId(const WorkerID &driver_id) { - std::string data(kUniqueBytesLength, 0); - std::copy_n(driver_id.Data(), kUniqueIDSize, std::back_inserter(data)); - return LeaseID::FromBinary(data); -} - WorkerID LeaseID::WorkerId() const { return WorkerID::FromBinary(std::string( reinterpret_cast(id_ + kUniqueBytesLength), kUniqueIDSize)); diff --git a/src/ray/common/id.h b/src/ray/common/id.h index 8a1f7e99d610..e01ee20a2ff1 100644 --- a/src/ray/common/id.h +++ b/src/ray/common/id.h @@ -349,15 +349,6 @@ class LeaseID : public BaseID { /// \return The `LeaseID` for the worker lease. static LeaseID FromWorker(const WorkerID &worker_id, uint32_t counter); - /// Creates a `LeaseID` from a driver ID. The counter bits are nulled out only for - /// driver as we need a predetermined lease value that can be calculated indepently by - /// the raylet without having to send the ID over. - /// - /// \param driver_id The driver ID to which this lease belongs. - /// - /// \return The `LeaseID` for the worker lease. - static LeaseID DriverLeaseId(const WorkerID &driver_id); - /// Creates a random `LeaseID`. /// /// \return A `LeaseID` generated with random bytes diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 0b7ba9e4c781..4796a41dcd39 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -310,7 +310,7 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli return; } // Counter for generating unique lease IDs. - static uint32_t lease_id_counter = 1; + static uint32_t lease_id_counter = 0; const LeaseID lease_id = LeaseID::FromWorker(worker_id_, lease_id_counter++); rpc::LeaseSpec lease_spec_msg = scheduling_key_entry.lease_spec.GetMessage(); lease_spec_msg.set_lease_id(lease_id.Binary()); diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc index a607b94f237f..d471ada70c15 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc @@ -328,7 +328,7 @@ void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, // Actor leases should be sent to the raylet immediately, so we should never build up a // backlog in GCS. // Counter for generating unique lease IDs. - static uint32_t lease_id_counter = 1; + static uint32_t lease_id_counter = 0; actor->GetMutableLeaseSpec()->set_lease_id( LeaseID::FromWorker(WorkerID::FromRandom(), lease_id_counter++).Binary()); raylet_client->RequestWorkerLease( diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 6a958c060631..39334551d410 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1159,13 +1159,6 @@ Status NodeManager::RegisterForNewDriver( const ray::protocol::RegisterClientRequest *message, std::function send_reply_callback) { worker->SetProcess(Process::FromPid(pid)); - // Compute a dummy driver lease id from a given driver. - // The lease id set in the worker here should be consistent with the lease - // id set in the core worker. - // TODO(#56010): We shouldn't need to have a special lease id for the driver, just check - // the worker type instead - const LeaseID driver_lease_id = LeaseID::DriverLeaseId(worker->WorkerId()); - worker->GrantLeaseId(driver_lease_id); rpc::JobConfig job_config; job_config.ParseFromString(message->serialized_job_config()->str()); @@ -1250,6 +1243,7 @@ void NodeManager::SendPortAnnouncementResponse( void NodeManager::HandleWorkerAvailable(const std::shared_ptr &worker) { RAY_CHECK(worker); + RAY_CHECK_NE(worker->GetWorkerType(), rpc::WorkerType::DRIVER); if (worker->GetWorkerType() == rpc::WorkerType::SPILL_WORKER) { // Return the worker to the idle pool. diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index 92e0e6556059..41c275d8ba5f 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -458,7 +458,6 @@ class WorkerPoolTest : public ::testing::Test { const rpc::JobConfig &job_config = rpc::JobConfig()) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, job_id); - driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK(worker_pool_->RegisterDriver(driver, job_config, [](Status, int) {})); return driver; } @@ -531,24 +530,18 @@ static inline rpc::RuntimeEnvInfo ExampleRuntimeEnvInfoFromString( } static inline LeaseSpecification ExampleLeaseSpec( - const ActorID actor_id = ActorID::Nil(), + const ActorID actor_creation_id = ActorID::Nil(), const Language &language = Language::PYTHON, const JobID &job_id = JOB_ID, - const ActorID actor_creation_id = ActorID::Nil(), const std::vector &dynamic_worker_options = {}, - const LeaseID &lease_id = LeaseID::FromRandom(), + const LeaseID &lease_id = LeaseID::Nil(), const rpc::RuntimeEnvInfo runtime_env_info = rpc::RuntimeEnvInfo(), std::unordered_map resources = {{"CPU", 1}}) { rpc::LeaseSpec message; message.set_job_id(job_id.Binary()); message.set_language(language); - // Make sure no reduplicative lease id. - RAY_CHECK(!lease_id.IsNil()); message.set_lease_id(lease_id.Binary()); - if (!actor_id.IsNil()) { - message.set_type(TaskType::ACTOR_TASK); - message.set_actor_id(actor_id.Binary()); - } else if (!actor_creation_id.IsNil()) { + if (!actor_creation_id.IsNil()) { message.set_type(TaskType::ACTOR_CREATION_TASK); message.set_actor_id(actor_creation_id.Binary()); for (const auto &option : dynamic_worker_options) { @@ -651,7 +644,8 @@ TEST_F(WorkerPoolDriverRegisteredTest, InitialWorkerProcessCount) { } TEST_F(WorkerPoolDriverRegisteredTest, TestPrestartingWorkers) { - const auto lease_spec = ExampleLeaseSpec(); + auto lease_spec = ExampleLeaseSpec(); + lease_spec.GetMutableMessage().set_lease_id(LeaseID::FromRandom().Binary()); // Prestarts 2 workers. worker_pool_->PrestartWorkers(lease_spec, 2); ASSERT_EQ(worker_pool_->NumWorkersStarting(), 2); @@ -731,8 +725,8 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerSyncsOfMultipleLanguages) { TEST_F(WorkerPoolDriverRegisteredTest, StartWorkerWithNodeIdArg) { auto lease_id = LeaseID::FromRandom(); - LeaseSpecification lease_spec = ExampleLeaseSpec( - ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}, lease_id); + LeaseSpecification lease_spec = + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, {}, lease_id); ASSERT_NE(worker_pool_->PopWorkerSync(lease_spec), nullptr); const auto real_command = worker_pool_->GetWorkerCommand(worker_pool_->LastStartedWorkerProcess()); @@ -757,11 +751,10 @@ TEST_F(WorkerPoolDriverRegisteredTest, StartWorkerWithDynamicOptionsCommand) { actor_jvm_options.end(), {"-Dmy-actor.hello=foo", "-Dmy-actor.world=bar", "-Xmx2g", "-Xms1g"}); JobID job_id = JobID::FromInt(12345); - auto actor_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - LeaseSpecification lease_spec = ExampleLeaseSpec(ActorID::Nil(), + auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); + LeaseSpecification lease_spec = ExampleLeaseSpec(actor_creation_id, Language::JAVA, job_id, - actor_id, actor_jvm_options, LeaseID::FromRandom()); @@ -885,8 +878,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerMultiTenancy) { // Make the first worker an actor worker. if (i == 0) { auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - auto lease_spec = ExampleLeaseSpec( - /*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id, actor_creation_id); + auto lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, job_id); runtime_env_hash = lease_spec.GetRuntimeEnvHash(); } auto worker = worker_pool_->CreateWorker(Process::CreateNewDummy(), @@ -905,8 +897,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerMultiTenancy) { for (auto job_id : job_ids) { auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); // Pop workers for actor creation leases. - auto lease_spec = ExampleLeaseSpec( - /*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id, actor_creation_id); + auto lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, job_id); auto worker = worker_pool_->PopWorkerSync(lease_spec); ASSERT_TRUE(worker); ASSERT_EQ(worker->GetAssignedJobId(), job_id); @@ -1508,14 +1499,12 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestWorkerCapping) { std::vector> popped_workers; for (int i = 0; i < num_workers; i++) { // Pop workers for actor creation leases. - auto lease_spec = - ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + auto lease_spec = ExampleLeaseSpec( + /*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id, {}, LeaseID::FromRandom()); auto worker = worker_pool_->PopWorkerSync(lease_spec, false); // Simulate granting the lease and finish. This is to set lease_grant_time_. RayLease lease(lease_spec); worker->GrantLease(lease); - worker->GrantLeaseId(LeaseID::Nil()); - popped_workers.push_back(worker); ASSERT_TRUE(worker); ASSERT_EQ(worker->GetAssignedJobId(), job_id); @@ -1528,6 +1517,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestWorkerCapping) { /// // Return all workers. for (const auto &worker : popped_workers) { + worker->GrantLeaseId(LeaseID::Nil()); worker_pool_->PushWorker(worker); } ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), num_workers); @@ -1541,8 +1531,8 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestWorkerCapping) { ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), POOL_SIZE_SOFT_LIMIT); // The first core worker exits, so one of idle workers should've been killed. - // Since the idle workers are killed in FIFO, we can assume the first entry in the idle - // workers will be killed. + // Since the idle workers are killed in FIFO if they've been granted a lease, we can + // assume the first entry in the idle workers will be killed. auto mock_rpc_client_it = mock_worker_rpc_clients_.find(popped_workers[0]->WorkerId()); ASSERT_EQ(mock_rpc_client_it->second->exit_count, 1) << " expected pid " << popped_workers[0]->GetProcess().GetId(); @@ -1730,7 +1720,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForPopWorker) { worker_pool_->HandleJobFinished(job_id); auto lease_spec = - ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + ExampleLeaseSpec(/*actor_creation_id=*/ActorID::Nil(), Language::PYTHON, job_id); PopWorkerStatus pop_worker_status; // This PopWorker should fail since the job finished. worker = worker_pool_->PopWorkerSync(lease_spec, false, &pop_worker_status); @@ -1746,7 +1736,8 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForPopWorker) { job_id = JOB_ID_2; rpc::JobConfig job_config; RegisterDriver(Language::PYTHON, job_id, job_config); - lease_spec = ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + lease_spec = + ExampleLeaseSpec(/*actor_creation_id=*/ActorID::Nil(), Language::PYTHON, job_id); pop_worker_status = PopWorkerStatus::OK; // This will start a new worker. std::promise promise; @@ -1808,7 +1799,7 @@ TEST_F(WorkerPoolDriverRegisteredTest, TestJobFinishedForceKillIdleWorker) { /// Grant some lease with the worker. auto lease_spec = - ExampleLeaseSpec(/*actor_id=*/ActorID::Nil(), Language::PYTHON, job_id); + ExampleLeaseSpec(/*actor_creation_id=*/ActorID::Nil(), Language::PYTHON, job_id); worker = worker_pool_->PopWorkerSync(lease_spec, false); ASSERT_EQ(worker_pool_->GetIdleWorkerSize(), 0); @@ -1900,22 +1891,20 @@ TEST_F(WorkerPoolDriverRegisteredTest, TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerWithRuntimeEnv) { ASSERT_EQ(worker_pool_->GetProcessSize(), 0); auto actor_creation_id = ActorID::Of(JOB_ID, TaskID::ForDriverTask(JOB_ID), 1); - const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + const auto actor_creation_lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, JOB_ID, - actor_creation_id, {"XXX=YYY"}, LeaseID::FromRandom(), ExampleRuntimeEnvInfo({"XXX"})); - const auto normal_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + const auto normal_lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, JOB_ID, - ActorID::Nil(), {"XXX=YYY"}, LeaseID::FromRandom(), ExampleRuntimeEnvInfo({"XXX"})); const auto normal_lease_spec_without_runtime_env = - ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, ActorID::Nil(), {}); + ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, {}); // Pop worker for actor creation lease again. auto popped_worker = worker_pool_->PopWorkerSync(actor_creation_lease_spec); // Got a worker with correct runtime env hash. @@ -1983,10 +1972,9 @@ TEST_F(WorkerPoolDriverRegisteredTest, RuntimeEnvUriReferenceWorkerLevel) { ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 1); // Start actor with runtime env. auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 1); - const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + const auto actor_creation_lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, job_id, - actor_creation_id, {"XXX=YYY"}, LeaseID::FromRandom(), runtime_env_info); @@ -1996,7 +1984,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, RuntimeEnvUriReferenceWorkerLevel) { const auto normal_lease_spec = ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_id, - ActorID::Nil(), {"XXX=YYY"}, LeaseID::FromRandom(), runtime_env_info); @@ -2029,10 +2016,9 @@ TEST_F(WorkerPoolDriverRegisteredTest, RuntimeEnvUriReferenceWorkerLevel) { ASSERT_EQ(GetReferenceCount(runtime_env_info.serialized_runtime_env()), 0); // Start actor with runtime env. auto actor_creation_id = ActorID::Of(job_id, TaskID::ForDriverTask(job_id), 2); - const auto actor_creation_lease_spec = ExampleLeaseSpec(ActorID::Nil(), + const auto actor_creation_lease_spec = ExampleLeaseSpec(actor_creation_id, Language::PYTHON, job_id, - actor_creation_id, {"XXX=YYY"}, LeaseID::FromRandom(), runtime_env_info); @@ -2064,10 +2050,9 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { ASSERT_EQ(worker_pool_->GetProcessSize(), 0); auto actor_creation_id = ActorID::Of(JOB_ID, TaskID::ForDriverTask(JOB_ID), 1); const auto actor_creation_lease_spec_1 = - ExampleLeaseSpec(ActorID::Nil(), + ExampleLeaseSpec(actor_creation_id, Language::PYTHON, JOB_ID, - actor_creation_id, /*dynamic_worker_options=*/{}, LeaseID::FromRandom(), ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); @@ -2075,7 +2060,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, - ActorID::Nil(), /*dynamic_worker_options=*/{}, LeaseID::FromRandom(), ExampleRuntimeEnvInfoFromString("mock_runtime_env_1")); @@ -2083,7 +2067,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, CacheWorkersByRuntimeEnvHash) { ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, JOB_ID, - ActorID::Nil(), /*dynamic_worker_options=*/{}, LeaseID::FromRandom(), ExampleRuntimeEnvInfoFromString("mock_runtime_env_2")); @@ -2194,7 +2177,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerStatus) { ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_id, - ActorID::Nil(), {"XXX=YYY"}, LeaseID::FromRandom(), ExampleRuntimeEnvInfoFromString(std::string(kBadRuntimeEnv))); @@ -2211,7 +2193,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, PopWorkerStatus) { ExampleLeaseSpec(ActorID::Nil(), Language::PYTHON, job_id, - ActorID::Nil(), {"XXX=YYY"}, LeaseID::FromRandom(), ExampleRuntimeEnvInfo({"XXX"})); @@ -2412,7 +2393,6 @@ TEST_F(WorkerPoolDriverRegisteredTest, WorkerReuseFailureForDifferentJobId) { TEST_F(WorkerPoolTest, RegisterFirstPythonDriverWaitForWorkerStart) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - driver->GrantLeaseId(LeaseID::FromRandom()); bool callback_called = false; auto callback = [callback_called_ptr = &callback_called](Status, int) mutable { *callback_called_ptr = true; @@ -2424,7 +2404,6 @@ TEST_F(WorkerPoolTest, RegisterFirstPythonDriverWaitForWorkerStart) { TEST_F(WorkerPoolTest, RegisterSecondPythonDriverCallbackImmediately) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK( worker_pool_->RegisterDriver(driver, rpc::JobConfig(), [](Status, int) {})); @@ -2434,7 +2413,6 @@ TEST_F(WorkerPoolTest, RegisterSecondPythonDriverCallbackImmediately) { }; auto second_driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::PYTHON, JOB_ID); - second_driver->GrantLeaseId(LeaseID::FromRandom()); RAY_CHECK_OK(worker_pool_->RegisterDriver(second_driver, rpc::JobConfig(), callback)); ASSERT_TRUE(callback_called); } @@ -2443,7 +2421,6 @@ TEST_F(WorkerPoolTest, RegisterFirstJavaDriverCallbackImmediately) { auto driver = worker_pool_->CreateWorker(Process::CreateNewDummy(), Language::JAVA, JOB_ID); - driver->GrantLeaseId(LeaseID::FromRandom()); bool callback_called = false; auto callback = [callback_called_ptr = &callback_called](Status, int) mutable { *callback_called_ptr = true; diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index abf4a7e9d4d2..8f5a59ef399d 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -176,6 +176,7 @@ void Worker::Connect(std::shared_ptr rpc_client) void Worker::GrantLeaseId(const LeaseID &lease_id) { lease_id_ = lease_id; if (!lease_id.IsNil()) { + RAY_CHECK(worker_type_ != rpc::WorkerType::DRIVER); lease_grant_time_ = absl::Now(); } }; diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index b4af8ee5cd1b..c88c4b83402e 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -284,6 +284,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// Connection state of a worker. std::shared_ptr connection_; /// The lease id of the worker's currently assigned lease. + /// It is always Nil for the driver. LeaseID lease_id_; /// Job ID for the worker's current assigned lease. JobID assigned_job_id_; diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 342068c7f2e6..ce85798dc24f 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -876,7 +876,7 @@ Status WorkerPool::RegisterDriver(const std::shared_ptr &driver const rpc::JobConfig &job_config, std::function send_reply_callback) { int port; - RAY_CHECK(!driver->GetGrantedLeaseId().IsNil()); + RAY_CHECK(driver->GetGrantedLeaseId().IsNil()); Status status = GetNextFreePort(&port); if (!status.ok()) { send_reply_callback(status, /*port=*/0); @@ -1052,6 +1052,8 @@ void WorkerPool::PushWorker(const std::shared_ptr &worker) { // Since the worker is now idle, verify that it has no assigned lease ID. RAY_CHECK(worker->GetGrantedLeaseId().IsNil()) << "Idle workers cannot have an assigned lease ID"; + RAY_CHECK(worker->GetWorkerType() != rpc::WorkerType::DRIVER) + << "Idle workers cannot be drivers"; // Find a lease that this worker can fit. If there's none, put it in the idle pool. // First find in pending_registration_requests, then in pending_start_requests. std::shared_ptr pop_worker_request = nullptr; From 6c155bf8f7fe59f289f8fae47af9c0e60e28141a Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sun, 31 Aug 2025 23:13:01 -0700 Subject: [PATCH 0964/1566] [core] Don't need to return status from submitter cancel + cleanup (#56121) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 71 +++++++++---------- .../core_worker/task_submission/BUILD.bazel | 2 +- .../task_submission/actor_task_submitter.cc | 17 ++--- .../task_submission/actor_task_submitter.h | 6 +- .../task_submission/normal_task_submitter.cc | 24 +++---- .../task_submission/normal_task_submitter.h | 14 ++-- .../tests/normal_task_submitter_test.cc | 14 ++-- 7 files changed, 64 insertions(+), 84 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index fcac4106e5dd..4b73866600b0 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2392,8 +2392,8 @@ Status CoreWorker::CancelTask(const ObjectID &object_id, RAY_LOG(DEBUG).WithField(object_id) << "Request to cancel a task of object to an owner " << obj_addr.SerializeAsString(); - return normal_task_submitter_->CancelRemoteTask( - object_id, obj_addr, force_kill, recursive); + normal_task_submitter_->CancelRemoteTask(object_id, obj_addr, force_kill, recursive); + return Status::OK(); } auto task_spec = task_manager_->GetTaskSpec(object_id.TaskId()); @@ -2414,58 +2414,51 @@ Status CoreWorker::CancelTask(const ObjectID &object_id, return Status::InvalidArgument("force=True is not supported for actor tasks."); } - return actor_task_submitter_->CancelTask(task_spec.value(), recursive); + actor_task_submitter_->CancelTask(task_spec.value(), recursive); } else { - return normal_task_submitter_->CancelTask(task_spec.value(), force_kill, recursive); + normal_task_submitter_->CancelTask(task_spec.value(), force_kill, recursive); } + return Status::OK(); } Status CoreWorker::CancelChildren(const TaskID &task_id, bool force_kill) { - std::vector> recursive_cancellation_status; - bool recursive_success = true; - for (const auto &child_id : task_manager_->GetPendingChildrenTasks(task_id)) { + absl::flat_hash_set unknown_child_task_ids; + auto child_task_ids = task_manager_->GetPendingChildrenTasks(task_id); + for (const auto &child_id : child_task_ids) { auto child_spec = task_manager_->GetTaskSpec(child_id); if (!child_spec.has_value()) { - recursive_success = false; - recursive_cancellation_status.emplace_back( - child_id, - Status::UnknownError( - "Recursive task cancellation failed--check warning logs.")); + unknown_child_task_ids.insert(child_id); } else if (child_spec->IsActorTask()) { - auto result = actor_task_submitter_->CancelTask(child_spec.value(), true); - recursive_cancellation_status.emplace_back(child_id, result); + actor_task_submitter_->CancelTask(std::move(*child_spec), true); } else { - auto result = - normal_task_submitter_->CancelTask(child_spec.value(), force_kill, true); - recursive_cancellation_status.emplace_back(child_id, result); + normal_task_submitter_->CancelTask(std::move(*child_spec), force_kill, true); } } - if (recursive_success) { + if (unknown_child_task_ids.empty()) { return Status::OK(); - } else { - auto kMaxFailedTaskSampleSize = 10; - std::ostringstream ostr; - ostr << "Failed to cancel all the children tasks of " << task_id << " recursively.\n" - << "Here are up to " << kMaxFailedTaskSampleSize - << " samples tasks that failed to be canceled\n"; - auto success = 0; - auto failures = 0; - for (const auto &[child_id, status] : recursive_cancellation_status) { - if (status.ok()) { - success += 1; - } else { - // Only record up to sample sizes. - if (failures < kMaxFailedTaskSampleSize) { - ostr << "\t" << child_id << ", " << status << "\n"; - } - failures += 1; - } + } + + constexpr size_t kMaxFailedTaskSampleSize = 10; + std::ostringstream ostr; + ostr << "Failed to cancel all the children tasks of " << task_id << " recursively.\n" + << "Here are up to " << kMaxFailedTaskSampleSize + << " samples tasks that failed to be canceled\n"; + const auto failure_status_str = + Status::UnknownError("Recursive task cancellation failed--check warning logs.") + .ToString(); + size_t failures = 0; + for (const auto &child_id : unknown_child_task_ids) { + ostr << "\t" << child_id << ", " << failure_status_str << "\n"; + failures += 1; + if (failures >= kMaxFailedTaskSampleSize) { + break; } - ostr << "Total Recursive cancelation success: " << success - << ", failures: " << failures; - return Status::UnknownError(ostr.str()); } + ostr << "Total Recursive cancelation success: " + << (child_task_ids.size() - unknown_child_task_ids.size()) + << ", failures: " << unknown_child_task_ids.size(); + return Status::UnknownError(ostr.str()); } Status CoreWorker::KillActor(const ActorID &actor_id, bool force_kill, bool no_restart) { diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 09362fe45c2d..6261dddb4f60 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -91,7 +91,7 @@ ray_cc_library( "//src/ray/common:lease", "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", - "//src/ray/core_worker:task_manager", + "//src/ray/core_worker:task_manager_interface", "//src/ray/gcs:gcs_pb_util", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 33ece8caf203..e34078b5956d 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -844,12 +844,12 @@ void ActorTaskSubmitter::RetryCancelTask(TaskSpecification task_spec, execute_after( io_service_, [this, task_spec = std::move(task_spec), recursive] { - RAY_UNUSED(CancelTask(task_spec, recursive)); + CancelTask(task_spec, recursive); }, std::chrono::milliseconds(milliseconds)); } -Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) { +void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) { // We don't support force_kill = true for actor tasks. bool force_kill = false; RAY_LOG(INFO).WithField(task_spec.TaskId()).WithField(task_spec.ActorId()) @@ -871,7 +871,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv GetTaskManagerWithoutMu().MarkTaskCanceled(task_id); if (!GetTaskManagerWithoutMu().IsTaskPending(task_id)) { RAY_LOG(DEBUG).WithField(task_id) << "Task is already finished or canceled"; - return Status::OK(); + return; } auto task_queued = false; @@ -886,7 +886,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv // No need to decrement cur_pending_calls because it doesn't matter. RAY_LOG(DEBUG).WithField(task_id) << "Task's actor is already dead. Ignoring the cancel request."; - return Status::OK(); + return; } task_queued = queue->second.actor_submit_queue_->Contains(send_pos); @@ -916,7 +916,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv error_info.set_error_type(rpc::ErrorType::TASK_CANCELLED); GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, rpc::ErrorType::TASK_CANCELLED, /*status*/ nullptr, &error_info); - return Status::OK(); + return; } // At this point, the task is in "sent" state and not finished yet. @@ -934,7 +934,7 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv RAY_CHECK(queue != client_queues_.end()); if (!queue->second.rpc_client_) { RetryCancelTask(task_spec, recursive, 1000); - return Status::OK(); + return; } const auto &client = queue->second.rpc_client_; @@ -964,11 +964,6 @@ Status ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursiv } }); } - - // NOTE: Currently, ray.cancel is asynchronous. - // If we want to have a better guarantee in the cancelation result - // we should make it synchronos, but that can regress the performance. - return Status::OK(); } bool ActorTaskSubmitter::QueueGeneratorForResubmit(const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index 160ad7487a6a..8a98b84579b3 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -236,11 +236,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// /// \param task_spec The task spec of a task that will be canceled. /// \param recursive If true, it will cancel all child tasks. - /// \return True if cancel request is not needed or it will be - /// requested. False otherwise. Note that tasks could be "not" - /// canceled although the status is true because it is an - /// asynchronous API. - Status CancelTask(TaskSpecification task_spec, bool recursive); + void CancelTask(TaskSpecification task_spec, bool recursive); /// Retry the CancelTask in milliseconds. void RetryCancelTask(TaskSpecification task_spec, bool recursive, int64_t milliseconds); diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 4796a41dcd39..36a8d8927595 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -678,9 +678,9 @@ bool NormalTaskSubmitter::HandleGetWorkerFailureCause( fail_immediately); } -Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, - bool force_kill, - bool recursive) { +void NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, + bool force_kill, + bool recursive) { const auto task_id = task_spec.TaskId(); RAY_LOG(INFO) << "Cancelling a task: " << task_id << " force_kill: " << force_kill << " recursive: " << recursive; @@ -695,13 +695,13 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, // For idempotency. if (cancelled_tasks_.contains(task_id)) { // The task cancel is already in progress. We don't need to do anything. - return Status::OK(); + return; } task_manager_.MarkTaskCanceled(task_id); if (!task_manager_.IsTaskPending(task_id)) { // The task is finished or failed so marking the task as cancelled is sufficient. - return Status::OK(); + return; } auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -714,7 +714,7 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, scheduling_tasks.erase(spec); CancelWorkerLeaseIfNeeded(scheduling_key); task_manager_.FailPendingTask(task_id, rpc::ErrorType::TASK_CANCELLED); - return Status::OK(); + return; } } } @@ -742,7 +742,7 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, // scheduling_key_entries_ hashmap. scheduling_key_entries_.erase(scheduling_key); } - return Status::OK(); + return; } // Looks for an RPC handle for the worker executing the task. client = core_worker_client_pool_->GetOrConnect(rpc_client->second); @@ -792,20 +792,18 @@ Status NormalTaskSubmitter::CancelTask(TaskSpecification task_spec, } } }); - return Status::OK(); } -Status NormalTaskSubmitter::CancelRemoteTask(const ObjectID &object_id, - const rpc::Address &worker_addr, - bool force_kill, - bool recursive) { +void NormalTaskSubmitter::CancelRemoteTask(const ObjectID &object_id, + const rpc::Address &worker_addr, + bool force_kill, + bool recursive) { auto client = core_worker_client_pool_->GetOrConnect(worker_addr); auto request = rpc::RemoteCancelTaskRequest(); request.set_force_kill(force_kill); request.set_recursive(recursive); request.set_remote_object_id(object_id.Binary()); client->RemoteCancelTask(request, nullptr); - return Status::OK(); } bool NormalTaskSubmitter::QueueGeneratorForResubmit(const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 856c322cfd23..197ed02dd2f9 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -25,11 +25,9 @@ #include "absl/base/thread_annotations.h" #include "ray/common/id.h" -#include "ray/core_worker/actor_manager.h" -#include "ray/core_worker/context.h" #include "ray/core_worker/lease_policy.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/core_worker/task_manager.h" +#include "ray/core_worker/task_manager_interface.h" #include "ray/core_worker/task_submission/dependency_resolver.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/node_manager/raylet_client_pool.h" @@ -123,16 +121,16 @@ class NormalTaskSubmitter { /// /// \param[in] task_spec The task to kill. /// \param[in] force_kill Whether to kill the worker executing the task. - Status CancelTask(TaskSpecification task_spec, bool force_kill, bool recursive); + void CancelTask(TaskSpecification task_spec, bool force_kill, bool recursive); /// Request the owner of the object ID to cancel a request. /// It is used when a object ID is not owned by the current process. /// We cannot cancel the task in this case because we don't have enough /// information to cancel a task. - Status CancelRemoteTask(const ObjectID &object_id, - const rpc::Address &worker_addr, - bool force_kill, - bool recursive); + void CancelRemoteTask(const ObjectID &object_id, + const rpc::Address &worker_addr, + bool force_kill, + bool recursive); /// Queue the streaming generator up for resubmission. /// \return true if the task is still executing and the submitter agrees to resubmit diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index a3af7a15b838..a42a54991cf5 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -690,7 +690,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { // GetWorkerFailureCause is called. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); // Cancel the task while GetWorkerFailureCause has not been completed. - ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); + submitter.CancelTask(task, true, false); // Completing the GetWorkerFailureCause call. Check that the reply runs without error // and FailPendingTask is not called. ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); @@ -1738,7 +1738,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Try force kill, exiting the worker - ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); + submitter.CancelTask(task, true, false); ASSERT_EQ(worker_client->kill_requests.front().intended_task_id(), task.TaskIdBinary()); ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("workerdying"), true)); ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); @@ -1755,7 +1755,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Try non-force kill, worker returns normally - ASSERT_TRUE(submitter.CancelTask(task, false, false).ok()); + submitter.CancelTask(task, false, false); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(worker_client->kill_requests.front().intended_task_id(), task.TaskIdBinary()); ASSERT_EQ(worker_client->callbacks.size(), 0); @@ -1776,7 +1776,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillPendingTask) { TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); - ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); + submitter.CancelTask(task, true, false); ASSERT_EQ(worker_client->kill_requests.size(), 0); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -1803,7 +1803,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillResolvingTask) { task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); ASSERT_TRUE(submitter.SubmitTask(task).ok()); ASSERT_EQ(task_manager->num_inlined_dependencies, 0); - ASSERT_TRUE(submitter.CancelTask(task, true, false).ok()); + submitter.CancelTask(task, true, false); auto data = GenerateRandomObject(); store->Put(*data, obj1); WaitForObjectIdInMemoryStore(*store, obj1); @@ -1841,7 +1841,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) TaskSpecification task = BuildEmptyTaskSpec(); ASSERT_TRUE(submitter.SubmitTask(task).ok()); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); - ASSERT_TRUE(submitter.CancelTask(task, /*force_kill=*/false, /*recursive=*/true).ok()); + submitter.CancelTask(task, /*force_kill=*/false, /*recursive=*/true); ASSERT_FALSE(submitter.QueueGeneratorForResubmit(task)); worker_client->ReplyCancelTask(); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task)); @@ -1859,7 +1859,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) ASSERT_TRUE(submitter.SubmitTask(task2).ok()); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task2)); - ASSERT_TRUE(submitter.CancelTask(task2, /*force_kill=*/false, /*recursive=*/true).ok()); + submitter.CancelTask(task2, /*force_kill=*/false, /*recursive=*/true); ASSERT_TRUE(worker_client->ReplyPushTask()); worker_client->ReplyCancelTask(Status::OK(), /*attempt_succeeded=*/true, From 1e7858837914b1e03f28960bd54af497790ccc53 Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Mon, 1 Sep 2025 01:29:49 -0700 Subject: [PATCH 0965/1566] [JobManager] Make sure JobManager tolerates intermittent failures (#56085) Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- python/ray/dashboard/BUILD | 12 ++ python/ray/dashboard/modules/job/common.py | 2 + .../ray/dashboard/modules/job/job_manager.py | 153 +++++++++++------- .../modules/job/tests/test_job_manager.py | 97 ++++++++++- 4 files changed, 200 insertions(+), 64 deletions(-) diff --git a/python/ray/dashboard/BUILD b/python/ray/dashboard/BUILD index a443e8f6d8dc..f0e5fc640fb5 100644 --- a/python/ray/dashboard/BUILD +++ b/python/ray/dashboard/BUILD @@ -40,6 +40,7 @@ py_test_run_all_subdirectory( "tests/test_dashboard.py", "tests/test_state_head.py", "modules/serve/tests/**/*.py", + "modules/job/tests/test_job_manager.py", ], extra_srcs = [], tags = [ @@ -60,6 +61,17 @@ py_test( deps = [":conftest"], ) +py_test( + name = "test_job_manager", + size = "large", + srcs = ["modules/job/tests/test_job_manager.py"], + tags = [ + "exclusive", + "team:core", + ], + deps = [":conftest"], +) + py_test( name = "test_http_job_server", size = "large", diff --git a/python/ray/dashboard/modules/job/common.py b/python/ray/dashboard/modules/job/common.py index ee55cb78de13..3f205e6478d2 100644 --- a/python/ray/dashboard/modules/job/common.py +++ b/python/ray/dashboard/modules/job/common.py @@ -80,6 +80,8 @@ class JobErrorType(str, Enum): JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE = "JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE" # Job supervisor actor failed for unknown exception JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE = "JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE" + # Job supervisor actor died + JOB_SUPERVISOR_ACTOR_DIED = "JOB_SUPERVISOR_ACTOR_DIED" # Job driver script failed to start due to exception JOB_ENTRYPOINT_COMMAND_START_ERROR = "JOB_ENTRYPOINT_COMMAND_START_ERROR" # Job driver script failed due to non-zero exit code diff --git a/python/ray/dashboard/modules/job/job_manager.py b/python/ray/dashboard/modules/job/job_manager.py index 8c3a13690768..78aff4850168 100644 --- a/python/ray/dashboard/modules/job/job_manager.py +++ b/python/ray/dashboard/modules/job/job_manager.py @@ -32,7 +32,7 @@ from ray.dashboard.modules.job.job_supervisor import JobSupervisor from ray.dashboard.modules.job.utils import get_head_node_id from ray.dashboard.utils import close_logger_file_descriptor -from ray.exceptions import ActorUnschedulableError, RuntimeEnvSetupError +from ray.exceptions import ActorDiedError, ActorUnschedulableError, RuntimeEnvSetupError from ray.job_submission import JobStatus, JobErrorType from ray.runtime_env import RuntimeEnvConfig from ray.util.scheduling_strategies import ( @@ -43,6 +43,11 @@ logger = logging.getLogger(__name__) +RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES = ray_constants.env_integer( + "RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES", 5 +) + + def generate_job_id() -> str: """Returns a job_id of the form 'raysubmit_XYZ'. @@ -145,6 +150,9 @@ async def _monitor_job( self.monitored_jobs.add(job_id) try: await self._monitor_job_internal(job_id, job_supervisor) + except Exception as e: + logger.error("Unhandled exception in job monitoring!", exc_info=e) + raise e finally: self.monitored_jobs.remove(job_id) @@ -158,10 +166,19 @@ async def _monitor_job_internal( ) ) - is_alive = True + should_monitor = True + num_consecutive_failures = 0 + + job_status = None - while is_alive: + while should_monitor: try: + # NOTE: Job monitoring loop sleeps before proceeding with monitoring + # sequence to consolidate the control-flow of the pacing + # in a single place, rather than having it spread across + # many branches + await asyncio.sleep(self.JOB_MONITOR_LOOP_PERIOD_S) + job_status = await self._job_info_client.get_status(job_id) if job_status == JobStatus.PENDING: # Compare the current time with the job start time. @@ -210,7 +227,7 @@ async def _monitor_job_internal( message=err_msg, error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_TIMEOUT, ) - is_alive = False + should_monitor = False logger.error(err_msg) continue @@ -237,78 +254,102 @@ async def _monitor_job_internal( ), error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_FAILURE, ) - is_alive = False + should_monitor = False continue + # Verify `JobSupervisor` is alive and reachable await job_supervisor.ping.remote() + # Reset consecutive failures counter + num_consecutive_failures = 0 - await asyncio.sleep(self.JOB_MONITOR_LOOP_PERIOD_S) except Exception as e: - is_alive = False - job_status = await self._job_info_client.get_status(job_id) - job_error_message = None - if job_status == JobStatus.FAILED: - job_error_message = ( - "See more details from the dashboard " - "`Job` page or the state API `ray list jobs`." - ) - - job_error_message = "" - if job_status.is_terminal(): + target_job_error_message = "" + target_job_error_type: Optional[JobErrorType] = None + if job_status is not None and job_status.is_terminal(): # If the job is already in a terminal state, then the actor # exiting is expected. + should_monitor = False pass - elif isinstance(e, RuntimeEnvSetupError): - logger.info(f"Failed to set up runtime_env for job {job_id}.") - job_error_message = f"runtime_env setup failed: {e}" - job_status = JobStatus.FAILED - await self._job_info_client.put_status( - job_id, - job_status, - message=job_error_message, - error_type=JobErrorType.RUNTIME_ENV_SETUP_FAILURE, - ) - elif isinstance(e, ActorUnschedulableError): - logger.info( - f"Failed to schedule job {job_id} because the supervisor actor " - f"could not be scheduled: {e}" - ) - job_error_message = ( - f"Job supervisor actor could not be scheduled: {e}" - ) - await self._job_info_client.put_status( - job_id, - JobStatus.FAILED, - message=job_error_message, - error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE, - ) else: - logger.warning( - f"Job supervisor for job {job_id} failed unexpectedly: {e}." - ) - job_error_message = f"Unexpected error occurred: {e}" - job_status = JobStatus.FAILED - await self._job_info_client.put_status( - job_id, - job_status, - message=job_error_message, - error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, - ) + if isinstance(e, RuntimeEnvSetupError): + logger.error(f"Failed to set up runtime_env for job {job_id}.") + + target_job_error_message = f"runtime_env setup failed: {e}" + target_job_error_type = JobErrorType.RUNTIME_ENV_SETUP_FAILURE + + elif isinstance(e, ActorUnschedulableError): + logger.error( + f"Failed to schedule job {job_id} because the supervisor " + f"actor could not be scheduled: {e}" + ) + + target_job_error_message = ( + f"Job supervisor actor could not be scheduled: {e}" + ) + target_job_error_type = ( + JobErrorType.JOB_SUPERVISOR_ACTOR_UNSCHEDULABLE + ) + + elif isinstance(e, ActorDiedError): + logger.error(f"Job supervisor actor for {job_id} died: {e}") + target_job_error_message = f"Job supervisor actor died: {e}" + target_job_error_type = JobErrorType.JOB_SUPERVISOR_ACTOR_DIED + + else: + logger.warning( + f"Job monitoring for job {job_id} failed " + f"unexpectedly: {e}.", + exc_info=e, + ) + + if ( + num_consecutive_failures + < RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES + ): + num_consecutive_failures += 1 + continue + else: + logger.error( + f"Job monitoring failed more than " + f"{RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES} " + f"times, marking job as failed", + exc_info=e, + ) + + target_job_error_message = f"Unexpected error occurred: {e}" + target_job_error_type = ( + JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE + ) + + # If target job error message is set it entails that the job ought + # to be marked as failed (and terminated) + if target_job_error_message: + # Terminate monitoring loop + should_monitor = False + + job_status = JobStatus.FAILED + await self._job_info_client.put_status( + job_id, + job_status, + message=target_job_error_message, + error_type=target_job_error_type + or JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, + ) # Log error message to the job driver file for easy access. - if job_error_message: + if target_job_error_message: log_path = self._log_client.get_log_file_path(job_id) os.makedirs(os.path.dirname(log_path), exist_ok=True) with open(log_path, "a") as log_file: - log_file.write(job_error_message) + log_file.write(target_job_error_message) # Log events if self.event_logger: event_log = ( f"Completed a ray job {job_id} with a status {job_status}." ) - if job_error_message: - event_log += f" {job_error_message}" + if target_job_error_message: + event_log += f" {target_job_error_message}" self.event_logger.error(event_log, submission_id=job_id) else: self.event_logger.info(event_log, submission_id=job_id) diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index d0ed6271a8ff..fb13cbb53df9 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -5,6 +5,7 @@ import tempfile import time import urllib.request +from unittest.mock import AsyncMock from uuid import uuid4 import pytest @@ -27,6 +28,7 @@ ) from ray.dashboard.modules.job.common import JOB_ID_METADATA_KEY, JOB_NAME_METADATA_KEY from ray.dashboard.modules.job.job_manager import ( + RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES, JobLogStorageClient, JobManager, JobSupervisor, @@ -37,6 +39,7 @@ create_job_manager, create_ray_cluster, ) +from ray.exceptions import RpcError from ray.job_submission import JobStatus, JobErrorType from ray.tests.conftest import call_ray_start # noqa: F401 from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # noqa: F401 @@ -350,14 +353,15 @@ async def test_runtime_env_setup_logged_to_job_driver_logs( assert start_message in logs -@pytest.fixture(scope="module") +@pytest.fixture def shared_ray_instance(): # Remove ray address for test ray cluster in case we have # lingering RAY_ADDRESS="http://127.0.0.1:8265" from previous local job # submissions. old_ray_address = os.environ.pop(RAY_ADDRESS_ENVIRONMENT_VARIABLE, None) - yield create_ray_cluster() + with create_ray_cluster() as cluster: + yield cluster if old_ray_address is not None: os.environ[RAY_ADDRESS_ENVIRONMENT_VARIABLE] = old_ray_address @@ -365,7 +369,10 @@ def shared_ray_instance(): @pytest.fixture def job_manager(shared_ray_instance, tmp_path): - yield create_job_manager(shared_ray_instance, tmp_path) + job_manager = create_job_manager(shared_ray_instance, tmp_path) + job_manager.JOB_MONITOR_LOOP_PERIOD_S = 0.01 + + yield job_manager async def _run_hanging_command(job_manager, tmp_dir, start_signal_actor=None): @@ -400,7 +407,14 @@ async def _run_hanging_command(job_manager, tmp_dir, start_signal_actor=None): async def check_job_succeeded(job_manager, job_id): - data = await job_manager.get_job_info(job_id) + return await _check_job_succeeded( + get_job_info=job_manager.get_job_info, job_id=job_id + ) + + +async def _check_job_succeeded(*, get_job_info, job_id: str): + data = await get_job_info(job_id) + status = data.status if status == JobStatus.FAILED: raise RuntimeError(f"Job failed! {data.message}") @@ -413,7 +427,15 @@ async def check_job_succeeded(job_manager, job_id): async def check_job_failed(job_manager, job_id, expected_error_type=None): - data = await job_manager.get_job_info(job_id) + return await _check_job_failed( + get_job_info=job_manager.get_job_info, + job_id=job_id, + expected_error_type=expected_error_type, + ) + + +async def _check_job_failed(*, get_job_info, job_id: str, expected_error_type=None): + data = await get_job_info(job_id) status = data.status assert status in {JobStatus.PENDING, JobStatus.RUNNING, JobStatus.FAILED} if expected_error_type: @@ -889,7 +911,7 @@ async def test_kill_job_actor_in_before_driver_finish(self, job_manager): check_job_failed, job_manager=job_manager, job_id=job_id, - expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_DIED, ) data = await job_manager.get_job_info(job_id) assert data.driver_exit_code is None @@ -946,10 +968,15 @@ async def test_kill_job_actor_in_pending(self, job_manager): check_job_failed, job_manager=job_manager, job_id=job_id, - expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_DIED, ) data = await job_manager.get_job_info(job_id) + assert data.driver_exit_code is None + assert data.message.startswith( + "Job supervisor actor died: The actor died unexpectedly before " + "finishing this task" + ) async def test_stop_job_subprocess_cleanup_upon_stop(self, job_manager): """ @@ -1416,7 +1443,6 @@ async def test_actor_creation_error_not_overwritten(shared_ray_instance, tmp_pat assert data.driver_exit_code is None -@pytest.mark.asyncio async def test_no_task_events_exported(shared_ray_instance, tmp_path): """Verify that no task events are exported by the JobSupervisor.""" job_manager = create_job_manager(shared_ray_instance, tmp_path) @@ -1433,5 +1459,60 @@ async def test_no_task_events_exported(shared_ray_instance, tmp_path): assert "JobSupervisor" not in t.name +@pytest.mark.parametrize( + "max_failures,expected_job_status", + [ + (RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES - 1, JobStatus.SUCCEEDED), + (RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES + 1, JobStatus.FAILED), + ], +) +async def test_job_manager_tolerates_gcs_failures( + job_manager, max_failures, expected_job_status +): + """Test driver exit code from finished task that failed""" + + original_get_info = job_manager._job_info_client.get_info + + num_failures = 0 + + async def _failing_get_info(*args, **kwargs): + nonlocal num_failures + + if num_failures < max_failures: + num_failures += 1 + raise RpcError("deadline exceeded") + else: + return await original_get_info(*args, **kwargs) + + # Mock out `JobManager._job_info_client` + job_manager._job_info_client.get_info = AsyncMock(side_effect=_failing_get_info) + + # Override `JobManager`s monitoring frequency to 100ms + job_manager.JOB_MONITOR_LOOP_PERIOD_S = 0.1 + + # Simulate job running for 5 seconds + job_id = await job_manager.submit_job(entrypoint="sleep 3; echo 'hello world'") + + if expected_job_status == JobStatus.FAILED: + expected_job_state_check = _check_job_failed + elif expected_job_status == JobStatus.SUCCEEDED: + expected_job_state_check = _check_job_succeeded + else: + raise NotImplementedError(f"unexpected job status: {expected_job_status}") + + # Wait for the job to reach expected target state + await async_wait_for_condition( + expected_job_state_check, + timeout=10, + get_job_info=original_get_info, + job_id=job_id, + ) + + # Check that the job failed + job_info = await job_manager.get_job_info(job_id) + + assert job_info.status == expected_job_status + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 5923cabb6d5b5fd380df9817e192f8049f56718a Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 1 Sep 2025 01:47:17 -0700 Subject: [PATCH 0966/1566] [core] Fix named actor test for windows (#56134) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index 5c738808ad8b..175f75c7c518 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -2,7 +2,6 @@ import random import sys import tempfile -import signal import numpy as np import pytest @@ -1695,7 +1694,7 @@ def get_pid(self): a = Actor.options(name=ACTOR_NAME, max_restarts=0, max_task_retries=-1).remote() pid = ray.get(a.get_pid.remote()) - os.kill(pid, signal.SIGKILL) + psutil.Process(pid).kill() a_actor_id = a._actor_id.hex() wait_for_condition(lambda: ray.state.actors(a_actor_id)["State"] == "DEAD") @@ -1728,7 +1727,7 @@ def wait_new_actor_ready(): _ = ray.get_actor(ACTOR_NAME, namespace=NAMESPACE_NAME) pid = ray.get(c.get_pid.remote()) - os.kill(pid, signal.SIGKILL) + psutil.Process(pid).kill() wait_for_condition(lambda: ray.state.actors(c._actor_id.hex())["State"] == "DEAD") From 49ea18f13f68464c95471c44b6ef3c59f1659369 Mon Sep 17 00:00:00 2001 From: Hassam Ullah Sheikh Date: Mon, 1 Sep 2025 08:05:21 -0400 Subject: [PATCH 0967/1566] Fix/metric set state issue (#55892) ## Why are these changes needed? ## Related issue number Closes #55248 --------- Signed-off-by: Hassam Sheikh Co-authored-by: Hassam Sheikh Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- .gitignore | 2 +- rllib/utils/metrics/metrics_logger.py | 2 + rllib/utils/metrics/tests/test_stats.py | 89 +++++++++++++++++++++++++ 3 files changed, 92 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index e33fde76315d..81d26138d2cf 100644 --- a/.gitignore +++ b/.gitignore @@ -38,7 +38,7 @@ python/ray/autoscaler/kuberay/config # Python byte code files *.pyc python/.eggs - +.eggs # Backup files *.bak diff --git a/rllib/utils/metrics/metrics_logger.py b/rllib/utils/metrics/metrics_logger.py index 28432ea7cca3..9d3ba1c4e8f9 100644 --- a/rllib/utils/metrics/metrics_logger.py +++ b/rllib/utils/metrics/metrics_logger.py @@ -1167,6 +1167,8 @@ def set_state(self, state: Dict[str, Any]) -> None: state: The state to set `self` to. """ with self._threading_lock: + # Reset all existing stats to ensure a clean state transition + self.stats = {} for flat_key, stats_state in state["stats"].items(): self._set_key(flat_key.split("--"), Stats.from_state(stats_state)) diff --git a/rllib/utils/metrics/tests/test_stats.py b/rllib/utils/metrics/tests/test_stats.py index b43a0a15559a..e85783a238f1 100644 --- a/rllib/utils/metrics/tests/test_stats.py +++ b/rllib/utils/metrics/tests/test_stats.py @@ -3,6 +3,7 @@ import numpy as np from ray.rllib.utils.metrics.stats import Stats, merge_stats +from ray.rllib.utils.metrics.metrics_logger import MetricsLogger from ray.rllib.utils.test_utils import check # Default values used throughout the tests @@ -1190,6 +1191,94 @@ def test_percentiles(): ) +def test_set_state_complete_replacement(): + """Test that set_state() completely replaces the logger's state. + + This test verifies the fix for the issue where set_state() would only update + keys present in the new state but leave old keys intact, causing stale data + to persist after checkpoint restoration. + """ + # Test case 1: Basic replacement with fewer keys + logger1 = MetricsLogger() + logger1.log_value("solo", 0) + logger1.log_value("duo", 0) + + logger2 = MetricsLogger() + logger2.log_value("duo", 1) + + # Before fix: {'solo': 0, 'duo': 1} - 'solo' would persist + # After fix: {'duo': 1} - only new state keys remain + logger1.set_state(logger2.get_state()) + result = logger1.peek() + expected = {"duo": 1} + + check(result, expected) + + # Test case 2: Complete replacement with different keys + logger3 = MetricsLogger() + logger3.log_value("old_key1", 10) + logger3.log_value("old_key2", 20) + logger3.log_value("shared_key", 30) + + logger4 = MetricsLogger() + logger4.log_value("shared_key", 100) + logger4.log_value("new_key", 200) + + logger3.set_state(logger4.get_state()) + result = logger3.peek() + expected = {"shared_key": 100, "new_key": 200} + + check(result, expected) + + # Test case 3: Setting to empty state + logger5 = MetricsLogger() + logger5.log_value("key1", 1) + logger5.log_value("key2", 2) + + empty_logger = MetricsLogger() + logger5.set_state(empty_logger.get_state()) + result = logger5.peek() + + check(result, {}) + + # Test case 4: Nested keys + logger6 = MetricsLogger() + logger6.log_value(("nested", "old_key"), 1) + logger6.log_value(("nested", "shared_key"), 2) + logger6.log_value("top_level", 3) + + logger7 = MetricsLogger() + logger7.log_value(("nested", "shared_key"), 20) + logger7.log_value(("nested", "new_key"), 30) + + logger6.set_state(logger7.get_state()) + result = logger6.peek() + expected = {"nested": {"shared_key": 20, "new_key": 30}} + + check(result, expected) + + # Test case 5: Multiple set_state calls (simulating multiple restore_from_path calls) + logger8 = MetricsLogger() + logger8.log_value("initial", 0) + + # First set_state + temp1 = MetricsLogger() + temp1.log_value("first", 1) + temp1.log_value("shared", 100) + logger8.set_state(temp1.get_state()) + + # Second set_state - should completely replace first state + temp2 = MetricsLogger() + temp2.log_value("second", 2) + temp2.log_value("shared", 20) + logger8.set_state(temp2.get_state()) + + result = logger8.peek() + expected = {"second": 2, "shared": 20} + + check(result, expected) + + if __name__ == "__main__": import sys From 7ae95e253258b2fea55237a486a3dcb262324ec8 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 1 Sep 2025 12:43:23 -0700 Subject: [PATCH 0968/1566] [core] Cleanup / detangle flatbuffer utilties (#55794) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- src/ray/common/BUILD.bazel | 17 +- src/ray/common/common_protocol.cc | 21 --- src/ray/common/common_protocol.h | 173 ------------------ src/ray/common/constants.h | 3 +- src/ray/common/flatbuf_utils.h | 72 ++++++++ src/ray/common/id.cc | 6 - src/ray/common/id.h | 21 ++- src/ray/common/lease/lease_spec.cc | 1 - src/ray/common/tests/id_test.cc | 3 +- src/ray/core_worker/task_manager.cc | 1 - src/ray/gcs/gcs_client/accessor.cc | 12 +- .../gcs/store_client/in_memory_store_client.h | 1 - src/ray/gcs/store_client/redis_context.h | 3 +- .../gcs/store_client/redis_store_client.cc | 2 +- src/ray/gcs/store_client/redis_store_client.h | 7 +- .../tests/store_client_test_base.h | 1 + src/ray/ipc/BUILD.bazel | 1 + src/ray/ipc/client_connection.h | 3 +- src/ray/ipc/fake_raylet_ipc_client.h | 4 + src/ray/ipc/raylet_ipc_client.cc | 102 ++++++----- src/ray/ipc/raylet_ipc_client.h | 2 - src/ray/object_manager/object_manager.cc | 1 - src/ray/object_manager/pull_manager.cc | 1 - .../object_manager/tests/pull_manager_test.cc | 1 - src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/lease_dependency_manager.cc | 11 +- src/ray/raylet/lease_dependency_manager.h | 23 +-- src/ray/raylet/main.cc | 8 +- src/ray/raylet/node_manager.cc | 170 ++++++++--------- src/ray/raylet/node_manager.h | 2 - src/ray/raylet_client/raylet_client.cc | 2 - 32 files changed, 277 insertions(+), 401 deletions(-) delete mode 100644 src/ray/common/common_protocol.cc delete mode 100644 src/ray/common/common_protocol.h create mode 100644 src/ray/common/flatbuf_utils.h diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 97f83258dffb..30ef94097deb 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,7 +73,7 @@ repos: hooks: - id: cpplint args: ["--filter=-whitespace/braces,-whitespace/line_length,-build/c++11,-build/c++14,-build/c++17,-readability/braces,-whitespace/indent_namespace,-runtime/int,-runtime/references,-build/include_order"] - files: ^src/ray/(common/cgroup2|common/scheduling|common/ray_syncer|common/test|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker)/.*\.(h|cc)$ + files: ^src/ray/(common/cgroup2|common/scheduling|common/ray_syncer|common/test|util|raylet_client|internal|scheduling|pubsub|object_manager|rpc(?:/.*)?|raylet|core_worker|ipc)/.*\.(h|cc)$ exclude: | (?x)^( src/ray/raylet/scheduling/.*\.(h|cc)$ | diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 9b8a89329019..e7baf5412576 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -119,26 +119,33 @@ ray_cc_library( ray_cc_library( name = "id", srcs = [ - "common_protocol.cc", "id.cc", ], hdrs = [ - "common_protocol.h", "id.h", "id_def.h", ], deps = [ ":constants", - ":status", "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:gcs_cc_proto", "//src/ray/thirdparty:sha256", + "//src/ray/util:logging", "//src/ray/util:random", - "@com_github_google_flatbuffers//:flatbuffers", + "//src/ray/util:visibility", "@msgpack", ], ) +ray_cc_library( + name = "flatbuf_utils", + hdrs = [ + "flatbuf_utils.h", + ], + deps = [ + "@com_github_google_flatbuffers//:flatbuffers", + ], +) + # TODO(#55922): split out the scheduling dependencies into a separate bazel target # and have lease and task bazel targets depend on this diff --git a/src/ray/common/common_protocol.cc b/src/ray/common/common_protocol.cc deleted file mode 100644 index 03043efc2dc0..000000000000 --- a/src/ray/common/common_protocol.cc +++ /dev/null @@ -1,21 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/common_protocol.h" - -#include "ray/util/logging.h" - -std::string string_from_flatbuf(const flatbuffers::String &string) { - return std::string(string.data(), string.size()); -} diff --git a/src/ray/common/common_protocol.h b/src/ray/common/common_protocol.h deleted file mode 100644 index e5c06e6fc401..000000000000 --- a/src/ray/common/common_protocol.h +++ /dev/null @@ -1,173 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include - -#include "ray/common/id.h" -#include "ray/util/logging.h" -#include "src/ray/protobuf/common.pb.h" -#include "src/ray/protobuf/gcs.pb.h" - -/// Convert an unique ID to a flatbuffer string. -/// -/// @param fbb Reference to the flatbuffer builder. -/// @param id The ID to be converted. -/// @return The flatbuffer string containing the ID. -template -flatbuffers::Offset to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, - ID id); - -/// Convert a flatbuffer string to an unique ID. -/// -/// @param string The flatbuffer string. -/// @return The ID. -template -ID from_flatbuf(const flatbuffers::String &string); - -/// Convert a flatbuffer vector of strings to a vector of unique IDs. -/// -/// @param vector The flatbuffer vector. -/// @return The vector of IDs. -template -const std::vector from_flatbuf( - const flatbuffers::Vector> &vector); - -/// Convert an array of unique IDs to a flatbuffer vector of strings. -/// -/// @param fbb Reference to the flatbuffer builder. -/// @param ids Array of unique IDs. -/// @param num_ids Number of elements in the array. -/// @return Flatbuffer vector of strings. -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, ID ids[], int64_t num_ids); - -/// Convert a vector of unique IDs to a flatbuffer vector of strings. -/// -/// @param fbb Reference to the flatbuffer builder. -/// @param ids Vector of IDs. -/// @return Flatbuffer vector of strings. -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, const std::vector &ids); - -/// Convert an unordered_set of unique IDs to a flatbuffer vector of strings. -/// -/// @param fbb Reference to the flatbuffer builder. -/// @param ids Unordered set of IDs. -/// @return Flatbuffer vector of strings. -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, const std::unordered_set &ids); - -/// Convert a flatbuffer string to a std::string. -/// -/// @param fbb Reference to the flatbuffer builder. -/// @param string A flatbuffers string. -/// @return The std::string version of the flatbuffer string. -std::string string_from_flatbuf(const flatbuffers::String &string); - -template -flatbuffers::Offset to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, - ID id) { - return fbb.CreateString(reinterpret_cast(id.Data()), id.Size()); -} - -template -ID from_flatbuf(const flatbuffers::String &string) { - return ID::FromBinary(string.str()); -} - -template -const std::vector from_flatbuf( - const flatbuffers::Vector> &vector) { - std::vector ids; - for (int64_t i = 0; i < vector.size(); i++) { - ids.push_back(from_flatbuf(*vector.Get(i))); - } - return ids; -} - -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, ID ids[], int64_t num_ids) { - std::vector> results; - for (int64_t i = 0; i < num_ids; i++) { - results.push_back(to_flatbuf(fbb, ids[i])); - } - return fbb.CreateVector(results); -} - -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, const std::vector &ids) { - std::vector> results; - for (auto id : ids) { - results.push_back(to_flatbuf(fbb, id)); - } - return fbb.CreateVector(results); -} - -template -flatbuffers::Offset>> -to_flatbuf(flatbuffers::FlatBufferBuilder &fbb, const std::unordered_set &ids) { - std::vector> results; - for (auto id : ids) { - results.push_back(to_flatbuf(fbb, id)); - } - return fbb.CreateVector(results); -} - -static inline ray::rpc::ObjectReference ObjectIdToRef( - const ray::ObjectID &object_id, const ray::rpc::Address owner_address) { - ray::rpc::ObjectReference ref; - ref.set_object_id(object_id.Binary()); - ref.mutable_owner_address()->CopyFrom(owner_address); - return ref; -} - -static inline ray::ObjectID ObjectRefToId(const ray::rpc::ObjectReference &object_ref) { - return ray::ObjectID::FromBinary(object_ref.object_id()); -} - -static inline std::vector ObjectRefsToIds( - const std::vector &object_refs) { - std::vector object_ids; - for (const auto &ref : object_refs) { - object_ids.push_back(ObjectRefToId(ref)); - } - return object_ids; -} - -static inline ray::rpc::ActorTableData::ActorState StringToActorState( - const std::string &actor_state_name) { - if (actor_state_name == "DEPENDENCIES_UNREADY") { - return ray::rpc::ActorTableData::DEPENDENCIES_UNREADY; - } else if (actor_state_name == "PENDING_CREATION") { - return ray::rpc::ActorTableData::PENDING_CREATION; - } else if (actor_state_name == "ALIVE") { - return ray::rpc::ActorTableData::ALIVE; - } else if (actor_state_name == "RESTARTING") { - return ray::rpc::ActorTableData::RESTARTING; - } else if (actor_state_name == "DEAD") { - return ray::rpc::ActorTableData::DEAD; - } else { - RAY_CHECK(false) << "Invalid actor state name:" << actor_state_name; - return {}; - } -} diff --git a/src/ray/common/constants.h b/src/ray/common/constants.h index 9ee40fd92673..aa9d858f2811 100644 --- a/src/ray/common/constants.h +++ b/src/ray/common/constants.h @@ -14,8 +14,7 @@ #pragma once -#include -#include +#include /// Default value for enable_task_events within core. constexpr bool kDefaultTaskEventEnabled = true; diff --git a/src/ray/common/flatbuf_utils.h b/src/ray/common/flatbuf_utils.h new file mode 100644 index 000000000000..7a1d56854a16 --- /dev/null +++ b/src/ray/common/flatbuf_utils.h @@ -0,0 +1,72 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include + +namespace ray { + +namespace flatbuf { + +using flatbuffers::FlatBufferBuilder; +using flatbuffers::Offset; +using flatbuffers::String; +using flatbuffers::uoffset_t; +using flatbuffers::Vector; + +template +Offset to_flatbuf(FlatBufferBuilder &fbb, const ID &id) { + return fbb.CreateString(reinterpret_cast(id.Data()), id.Size()); +} + +template +Offset>> to_flatbuf(FlatBufferBuilder &fbb, + ID ids[], + int64_t num_ids) { + std::vector> results; + results.reserve(num_ids); + for (int64_t i = 0; i < num_ids; i++) { + results.push_back(to_flatbuf(fbb, ids[i])); + } + return fbb.CreateVector(results); +} + +template +Offset>> to_flatbuf(FlatBufferBuilder &fbb, + const std::vector &ids) { + std::vector> results; + results.reserve(ids.size()); + for (const auto &id : ids) { + results.push_back(to_flatbuf(fbb, id)); + } + return fbb.CreateVector(results); +} + +template +Offset>> to_flatbuf(FlatBufferBuilder &fbb, + const std::unordered_set &ids) { + std::vector> results; + results.reserve(ids.size()); + for (const auto &id : ids) { + results.push_back(to_flatbuf(fbb, id)); + } + return fbb.CreateVector(results); +} + +} // namespace flatbuf + +} // namespace ray diff --git a/src/ray/common/id.cc b/src/ray/common/id.cc index 646fe65abb78..9883ef0c26dc 100644 --- a/src/ray/common/id.cc +++ b/src/ray/common/id.cc @@ -14,16 +14,10 @@ #include "ray/common/id.h" -#include - #include -#include -#include -#include #include "absl/time/clock.h" #include "ray/common/constants.h" -#include "ray/common/status.h" #include "ray/util/macros.h" extern "C" { diff --git a/src/ray/common/id.h b/src/ray/common/id.h index e01ee20a2ff1..8e89d7e55cca 100644 --- a/src/ray/common/id.h +++ b/src/ray/common/id.h @@ -14,20 +14,15 @@ #pragma once -#include -#include - -#include #include #include -#include -#include #include #include "ray/common/constants.h" #include "ray/util/logging.h" #include "ray/util/random.h" #include "ray/util/visibility.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { @@ -588,6 +583,20 @@ struct DefaultLogKey { constexpr static std::string_view key = kLogKeyLeaseID; }; +inline ObjectID ObjectRefToId(const rpc::ObjectReference &object_ref) { + return ObjectID::FromBinary(object_ref.object_id()); +} + +inline std::vector ObjectRefsToIds( + const std::vector &object_refs) { + std::vector object_ids; + object_ids.reserve(object_refs.size()); + for (const auto &ref : object_refs) { + object_ids.push_back(ObjectRefToId(ref)); + } + return object_ids; +} + } // namespace ray namespace std { diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc index 8dcf2552d472..967ce54b284a 100644 --- a/src/ray/common/lease/lease_spec.cc +++ b/src/ray/common/lease/lease_spec.cc @@ -14,7 +14,6 @@ #include "ray/common/lease/lease_spec.h" -#include "ray/common/common_protocol.h" #include "ray/common/function_descriptor.h" #include "ray/common/runtime_env_common.h" diff --git a/src/ray/common/tests/id_test.cc b/src/ray/common/tests/id_test.cc index eee4b98e5b5b..3cbf782eb5a3 100644 --- a/src/ray/common/tests/id_test.cc +++ b/src/ray/common/tests/id_test.cc @@ -12,12 +12,13 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "ray/common/id.h" + #include #include #include "absl/container/flat_hash_set.h" -#include "ray/common/common_protocol.h" namespace ray { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 56aa59d5b495..8a912f74c585 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -23,7 +23,6 @@ #include "absl/strings/match.h" #include "ray/common/buffer.h" -#include "ray/common/common_protocol.h" #include "ray/core_worker/actor_manager.h" #include "ray/gcs/pb_util.h" #include "ray/util/exponential_backoff.h" diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs/gcs_client/accessor.cc index 75f97ea938bf..e2a3fbf39387 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs/gcs_client/accessor.cc @@ -21,7 +21,6 @@ #include #include -#include "ray/common/common_protocol.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/util/container_util.h" @@ -200,9 +199,14 @@ void ActorInfoAccessor::AsyncGetAllByFilter( request.mutable_filters()->set_job_id(job_id.value().Binary()); } if (actor_state_name) { - rpc::ActorTableData::ActorState actor_state = - StringToActorState(actor_state_name.value()); - request.mutable_filters()->set_state(actor_state); + static absl::flat_hash_map + actor_state_map = { + {"DEPENDENCIES_UNREADY", rpc::ActorTableData::DEPENDENCIES_UNREADY}, + {"PENDING_CREATION", rpc::ActorTableData::PENDING_CREATION}, + {"ALIVE", rpc::ActorTableData::ALIVE}, + {"RESTARTING", rpc::ActorTableData::RESTARTING}, + {"DEAD", rpc::ActorTableData::DEAD}}; + request.mutable_filters()->set_state(actor_state_map[*actor_state_name]); } client_impl_->GetGcsRpcClient().GetAllActorInfo( diff --git a/src/ray/gcs/store_client/in_memory_store_client.h b/src/ray/gcs/store_client/in_memory_store_client.h index 0eb2904735b2..d956ad40752c 100644 --- a/src/ray/gcs/store_client/in_memory_store_client.h +++ b/src/ray/gcs/store_client/in_memory_store_client.h @@ -22,7 +22,6 @@ #include "absl/synchronization/mutex.h" #include "ray/gcs/store_client/store_client.h" #include "ray/util/concurrent_flat_map.h" -#include "src/ray/protobuf/gcs.pb.h" namespace ray::gcs { diff --git a/src/ray/gcs/store_client/redis_context.h b/src/ray/gcs/store_client/redis_context.h index d66f3a04bf12..343465e70565 100644 --- a/src/ray/gcs/store_client/redis_context.h +++ b/src/ray/gcs/store_client/redis_context.h @@ -27,7 +27,6 @@ #include "ray/stats/metric.h" #include "ray/stats/tag_defs.h" #include "ray/util/exponential_backoff.h" -#include "src/ray/protobuf/gcs.pb.h" extern "C" { #include "hiredis/hiredis.h" @@ -63,7 +62,7 @@ class CallbackReply { const std::string &ReadAsString() const; /// Read this reply data as a string array. - [[nodiscard]] const std::vector> &ReadAsStringArray() const; + const std::vector> &ReadAsStringArray() const; /// Read this reply data as a scan array. /// diff --git a/src/ray/gcs/store_client/redis_store_client.cc b/src/ray/gcs/store_client/redis_store_client.cc index c963a693bce0..2f58eac6afe9 100644 --- a/src/ray/gcs/store_client/redis_store_client.cc +++ b/src/ray/gcs/store_client/redis_store_client.cc @@ -100,7 +100,7 @@ void RedisStoreClient::MGetValues( shared_callback, key_value_map](const std::shared_ptr &reply) { if (!reply->IsNil()) { - auto value = reply->ReadAsStringArray(); + const auto &value = reply->ReadAsStringArray(); for (size_t index = 0; index < value.size(); ++index) { if (value[index].has_value()) { (*key_value_map)[args[index]] = *(value[index]); diff --git a/src/ray/gcs/store_client/redis_store_client.h b/src/ray/gcs/store_client/redis_store_client.h index 9d4a6aa6cd62..6ba9c8b4ea3b 100644 --- a/src/ray/gcs/store_client/redis_store_client.h +++ b/src/ray/gcs/store_client/redis_store_client.h @@ -22,14 +22,11 @@ #include #include -#include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" -#include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/postable.h" #include "ray/gcs/store_client/redis_context.h" #include "ray/gcs/store_client/store_client.h" -#include "src/ray/protobuf/gcs.pb.h" namespace ray { @@ -96,8 +93,8 @@ struct RedisClientOptions { int port; // Redis username and password. - std::string username = ""; - std::string password = ""; + std::string username; + std::string password; // Whether to use TLS/SSL for the connection. bool enable_ssl = false; diff --git a/src/ray/gcs/store_client/tests/store_client_test_base.h b/src/ray/gcs/store_client/tests/store_client_test_base.h index 5bbc27432708..0495fff7e24e 100644 --- a/src/ray/gcs/store_client/tests/store_client_test_base.h +++ b/src/ray/gcs/store_client/tests/store_client_test_base.h @@ -29,6 +29,7 @@ #include "ray/common/test_util.h" #include "ray/gcs/store_client/store_client.h" #include "ray/util/logging.h" +#include "src/ray/protobuf/gcs.pb.h" namespace ray { diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/ipc/BUILD.bazel index 38585313420b..1dcf5778fac3 100644 --- a/src/ray/ipc/BUILD.bazel +++ b/src/ray/ipc/BUILD.bazel @@ -31,6 +31,7 @@ ray_cc_library( ":client_connection", "//src/ray/common:asio", "//src/ray/common:buffer", + "//src/ray/common:flatbuf_utils", "//src/ray/common:id", "//src/ray/common:status", "//src/ray/flatbuffers:node_manager_generated", diff --git a/src/ray/ipc/client_connection.h b/src/ray/ipc/client_connection.h index 86f7788ba73c..530d117f7766 100644 --- a/src/ray/ipc/client_connection.h +++ b/src/ray/ipc/client_connection.h @@ -25,7 +25,6 @@ #include #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/common_protocol.h" #include "ray/common/id.h" #include "ray/common/status.h" @@ -232,7 +231,7 @@ class ClientConnection : public ServerConnection { /// ProcessClientMessage handler will be called. void ProcessMessages(); - const std::string GetDebugLabel() const { return debug_label_; } + std::string GetDebugLabel() const { return debug_label_; } protected: /// A protected constructor for a node client connection. diff --git a/src/ray/ipc/fake_raylet_ipc_client.h b/src/ray/ipc/fake_raylet_ipc_client.h index 1b8d32c8d227..7f0ba5daac75 100644 --- a/src/ray/ipc/fake_raylet_ipc_client.h +++ b/src/ray/ipc/fake_raylet_ipc_client.h @@ -14,6 +14,10 @@ #pragma once +#include +#include +#include + #include "ray/ipc/raylet_ipc_client_interface.h" namespace ray { diff --git a/src/ray/ipc/raylet_ipc_client.cc b/src/ray/ipc/raylet_ipc_client.cc index 0cb7b229af82..07e5dcc305c7 100644 --- a/src/ray/ipc/raylet_ipc_client.cc +++ b/src/ray/ipc/raylet_ipc_client.cc @@ -15,44 +15,65 @@ #include "ray/ipc/raylet_ipc_client.h" #include -#include #include #include #include #include "absl/container/flat_hash_set.h" -#include "ray/common/common_protocol.h" +#include "ray/common/flatbuf_utils.h" #include "ray/common/ray_config.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/ipc/client_connection.h" #include "ray/util/logging.h" #include "ray/util/process.h" +namespace ray::ipc { + namespace { -flatbuffers::Offset to_flatbuf( - flatbuffers::FlatBufferBuilder &fbb, const ray::rpc::Address &address) { - return ray::protocol::CreateAddress(fbb, - fbb.CreateString(address.node_id()), - fbb.CreateString(address.ip_address()), - address.port(), - fbb.CreateString(address.worker_id())); +flatbuffers::Offset AddressToFlatbuffer( + flatbuffers::FlatBufferBuilder &fbb, const rpc::Address &address) { + return protocol::CreateAddress(fbb, + fbb.CreateString(address.node_id()), + fbb.CreateString(address.ip_address()), + address.port(), + fbb.CreateString(address.worker_id())); } -flatbuffers::Offset>> +flatbuffers::Offset>> AddressesToFlatbuffer(flatbuffers::FlatBufferBuilder &fbb, - const std::vector &addresses) { - std::vector> address_vec; + const std::vector &addresses) { + std::vector> address_vec; address_vec.reserve(addresses.size()); for (const auto &addr : addresses) { - address_vec.push_back(to_flatbuf(fbb, addr)); + address_vec.push_back(AddressToFlatbuffer(fbb, addr)); } return fbb.CreateVector(address_vec); } -} // namespace +void ShutdownIfLocalRayletDisconnected(const Status &status) { + // Check if the Raylet process is still alive. + // If we know the Raylet PID, check using that. + // Else, assume the Raylet is our parent process. + bool raylet_alive = true; + auto raylet_pid = RayConfig::instance().RAYLET_PID(); + if (!raylet_pid.empty()) { + if (!IsProcessAlive(static_cast(std::stoi(raylet_pid)))) { + raylet_alive = false; + } + } else if (!IsParentProcessAlive()) { + raylet_alive = false; + } -namespace ray::ipc { + if (!status.ok() && !raylet_alive) { + RAY_LOG(WARNING) << "Exiting because the Raylet IPC connection failed and the local " + "Raylet is dead. Status: " + << status; + QuickExit(); + } +} + +} // namespace RayletIpcClient::RayletIpcClient(instrumented_io_context &io_service, const std::string &address, @@ -81,10 +102,10 @@ ray::Status RayletIpcClient::RegisterClient(const WorkerID &worker_id, auto message = protocol::CreateRegisterClientRequest(fbb, static_cast(worker_type), - to_flatbuf(fbb, worker_id), + flatbuf::to_flatbuf(fbb, worker_id), getpid(), startup_token, - to_flatbuf(fbb, job_id), + flatbuf::to_flatbuf(fbb, job_id), runtime_env_hash, language, fbb.CreateString(ip_address), @@ -99,7 +120,7 @@ ray::Status RayletIpcClient::RegisterClient(const WorkerID &worker_id, auto reply_message = flatbuffers::GetRoot(reply.data()); bool success = reply_message->success(); if (!success) { - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); + return Status::Invalid(reply_message->failure_reason()->str()); } *node_id = NodeID::FromBinary(reply_message->node_id()->str()); @@ -165,7 +186,7 @@ Status RayletIpcClient::AnnounceWorkerPortForDriver(int port, if (reply_message->success()) { return Status::OK(); } - return Status::Invalid(string_from_flatbuf(*reply_message->failure_reason())); + return Status::Invalid(reply_message->failure_reason()->str()); } Status RayletIpcClient::ActorCreationTaskDone() { @@ -177,7 +198,7 @@ Status RayletIpcClient::AsyncGetObjects( const std::vector &owner_addresses) { RAY_CHECK(object_ids.size() == owner_addresses.size()); flatbuffers::FlatBufferBuilder fbb; - auto object_ids_message = to_flatbuf(fbb, object_ids); + auto object_ids_message = flatbuf::to_flatbuf(fbb, object_ids); auto message = protocol::CreateAsyncGetObjectsRequest( fbb, object_ids_message, AddressesToFlatbuffer(fbb, owner_addresses)); fbb.Finish(message); @@ -213,7 +234,7 @@ StatusOr> RayletIpcClient::Wait( // Write request. flatbuffers::FlatBufferBuilder fbb; auto message = protocol::CreateWaitRequest(fbb, - to_flatbuf(fbb, object_ids), + flatbuf::to_flatbuf(fbb, object_ids), AddressesToFlatbuffer(fbb, owner_addresses), num_returns, timeout_milliseconds); @@ -242,7 +263,10 @@ Status RayletIpcClient::WaitForActorCallArgs( owner_addresses.push_back(ref.owner_address()); } auto message = protocol::CreateWaitForActorCallArgsRequest( - fbb, to_flatbuf(fbb, object_ids), AddressesToFlatbuffer(fbb, owner_addresses), tag); + fbb, + flatbuf::to_flatbuf(fbb, object_ids), + AddressesToFlatbuffer(fbb, owner_addresses), + tag); fbb.Finish(message); return WriteMessage(MessageType::WaitForActorCallArgsRequest, &fbb); } @@ -253,7 +277,7 @@ Status RayletIpcClient::PushError(const JobID &job_id, double timestamp) { flatbuffers::FlatBufferBuilder fbb; auto message = protocol::CreatePushErrorRequest(fbb, - to_flatbuf(fbb, job_id), + flatbuf::to_flatbuf(fbb, job_id), fbb.CreateString(type), fbb.CreateString(error_message), timestamp); @@ -264,8 +288,8 @@ Status RayletIpcClient::PushError(const JobID &job_id, Status RayletIpcClient::FreeObjects(const std::vector &object_ids, bool local_only) { flatbuffers::FlatBufferBuilder fbb; - auto message = - protocol::CreateFreeObjectsRequest(fbb, local_only, to_flatbuf(fbb, object_ids)); + auto message = protocol::CreateFreeObjectsRequest( + fbb, local_only, flatbuf::to_flatbuf(fbb, object_ids)); fbb.Finish(message); return WriteMessage(MessageType::FreeObjectsInObjectStoreRequest, &fbb); } @@ -274,39 +298,17 @@ void RayletIpcClient::SubscribePlasmaReady(const ObjectID &object_id, const rpc::Address &owner_address) { flatbuffers::FlatBufferBuilder fbb; auto message = protocol::CreateSubscribePlasmaReady( - fbb, to_flatbuf(fbb, object_id), to_flatbuf(fbb, owner_address)); + fbb, flatbuf::to_flatbuf(fbb, object_id), AddressToFlatbuffer(fbb, owner_address)); fbb.Finish(message); RAY_CHECK_OK(WriteMessage(MessageType::SubscribePlasmaReady, &fbb)); } -void ShutdownIfLocalRayletDisconnected(const Status &status) { - // Check if the Raylet process is still alive. - // If we know the Raylet PID, check using that. - // Else, assume the Raylet is our parent process. - bool raylet_alive = true; - auto raylet_pid = RayConfig::instance().RAYLET_PID(); - if (!raylet_pid.empty()) { - if (!IsProcessAlive(static_cast(std::stoi(raylet_pid)))) { - raylet_alive = false; - } - } else if (!IsParentProcessAlive()) { - raylet_alive = false; - } - - if (!status.ok() && !raylet_alive) { - RAY_LOG(WARNING) << "Exiting because the Raylet IPC connection failed and the local " - "Raylet is dead. Status: " - << status; - QuickExit(); - } -} - Status RayletIpcClient::WriteMessage(MessageType type, flatbuffers::FlatBufferBuilder *fbb) { std::unique_lock guard(write_mutex_); - int64_t length = fbb ? fbb->GetSize() : 0; - uint8_t *bytes = fbb ? fbb->GetBufferPointer() : nullptr; + int64_t length = fbb != nullptr ? fbb->GetSize() : 0; + uint8_t *bytes = fbb != nullptr ? fbb->GetBufferPointer() : nullptr; auto status = conn_->WriteMessage(static_cast(type), length, bytes); ShutdownIfLocalRayletDisconnected(status); return status; diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/ipc/raylet_ipc_client.h index b7faec8e8ca6..f6bf672cf799 100644 --- a/src/ray/ipc/raylet_ipc_client.h +++ b/src/ray/ipc/raylet_ipc_client.h @@ -17,8 +17,6 @@ #include #include #include -#include -#include #include #include "absl/container/flat_hash_set.h" diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index c8c3deb29311..4291637d3fd7 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -21,7 +21,6 @@ #include #include -#include "ray/common/common_protocol.h" #include "ray/object_manager/plasma/store_runner.h" #include "ray/object_manager/spilled_object_reader.h" #include "ray/stats/metric_defs.h" diff --git a/src/ray/object_manager/pull_manager.cc b/src/ray/object_manager/pull_manager.cc index ca616c3b0737..3c9af345c527 100644 --- a/src/ray/object_manager/pull_manager.cc +++ b/src/ray/object_manager/pull_manager.cc @@ -20,7 +20,6 @@ #include #include -#include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" #include "ray/stats/metric_defs.h" diff --git a/src/ray/object_manager/tests/pull_manager_test.cc b/src/ray/object_manager/tests/pull_manager_test.cc index 86a727cb8bdf..f245445e7712 100644 --- a/src/ray/object_manager/tests/pull_manager_test.cc +++ b/src/ray/object_manager/tests/pull_manager_test.cc @@ -22,7 +22,6 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "ray/common/common_protocol.h" namespace ray { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index aaabeefac51d..65a002214838 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -225,6 +225,7 @@ ray_cc_library( ":worker_killing_policy", ":worker_pool", "//src/ray/common:buffer", + "//src/ray/common:flatbuf_utils", "//src/ray/common:lease", "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", diff --git a/src/ray/raylet/lease_dependency_manager.cc b/src/ray/raylet/lease_dependency_manager.cc index 1cf2b602f381..543866f0cfb4 100644 --- a/src/ray/raylet/lease_dependency_manager.cc +++ b/src/ray/raylet/lease_dependency_manager.cc @@ -24,7 +24,7 @@ namespace ray { namespace raylet { bool LeaseDependencyManager::CheckObjectLocal(const ObjectID &object_id) const { - return local_objects_.count(object_id) == 1; + return local_objects_.contains(object_id); } bool LeaseDependencyManager::GetOwnerAddress(const ObjectID &object_id, @@ -70,7 +70,7 @@ void LeaseDependencyManager::StartOrUpdateWaitRequest( auto &wait_request = wait_requests_[worker_id]; for (const auto &ref : required_objects) { const auto obj_id = ObjectRefToId(ref); - if (local_objects_.count(obj_id)) { + if (local_objects_.contains(obj_id)) { // Object is already local. No need to fetch it. continue; } @@ -133,7 +133,10 @@ void LeaseDependencyManager::StartOrUpdateGetRequest( for (auto &obj_id : get_request.first) { auto it = required_objects_.find(obj_id); RAY_CHECK(it != required_objects_.end()); - refs.push_back(ObjectIdToRef(obj_id, it->second.owner_address)); + ray::rpc::ObjectReference ref; + ref.set_object_id(obj_id.Binary()); + ref.mutable_owner_address()->CopyFrom(it->second.owner_address); + refs.push_back(std::move(ref)); } // Pull the new dependencies before canceling the old request, in case some // of the old dependencies are still being fetched. @@ -198,7 +201,7 @@ bool LeaseDependencyManager::RequestLeaseDependencies( } for (const auto &obj_id : lease_entry->dependencies_) { - if (local_objects_.count(obj_id)) { + if (local_objects_.contains(obj_id)) { lease_entry->DecrementMissingDependencies(); } } diff --git a/src/ray/raylet/lease_dependency_manager.h b/src/ray/raylet/lease_dependency_manager.h index 7c051e4bbbfe..cb72ebd93405 100644 --- a/src/ray/raylet/lease_dependency_manager.h +++ b/src/ray/raylet/lease_dependency_manager.h @@ -22,9 +22,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" -#include "ray/common/common_protocol.h" #include "ray/common/id.h" -#include "ray/common/lease/lease.h" #include "ray/object_manager/object_manager.h" #include "ray/util/counter_map.h" @@ -43,7 +41,7 @@ class LeaseDependencyManagerInterface { virtual void RemoveLeaseDependencies(const LeaseID &lease_id) = 0; virtual bool LeaseDependenciesBlocked(const LeaseID &lease_id) const = 0; virtual bool CheckObjectLocal(const ObjectID &object_id) const = 0; - virtual ~LeaseDependencyManagerInterface(){}; + virtual ~LeaseDependencyManagerInterface() = default; }; /// \class LeaseDependencyManager @@ -94,7 +92,7 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// /// \param object_id The object to check for. /// \return Whether the object is local. - bool CheckObjectLocal(const ObjectID &object_id) const; + bool CheckObjectLocal(const ObjectID &object_id) const override; /// Get the address of the owner of this object. An address will only be /// returned if the caller previously specified that this object is required @@ -158,7 +156,7 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// \param required_objects The objects required by the lease. bool RequestLeaseDependencies(const LeaseID &lease_id, const std::vector &required_objects, - const TaskMetricsKey &task_key); + const TaskMetricsKey &task_key) override; /// Cancel a lease's dependencies. We will no longer attempt to fetch any /// remote dependencies, if no other lease or worker requires them. @@ -167,7 +165,7 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// /// \param lease_id The lease that requires the objects. /// \param required_objects The objects required by the lease. - void RemoveLeaseDependencies(const LeaseID &lease_id); + void RemoveLeaseDependencies(const LeaseID &lease_id) override; /// Handle an object becoming locally available. /// @@ -188,7 +186,7 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// Check whether a requested lease's dependencies are not being fetched to /// the local node due to lack of memory. - bool LeaseDependenciesBlocked(const LeaseID &lease_id) const; + bool LeaseDependenciesBlocked(const LeaseID &lease_id) const override; /// Returns debug string for class. /// @@ -227,13 +225,13 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// A struct to represent the object dependencies of a task. struct LeaseDependencies { - LeaseDependencies(const absl::flat_hash_set &deps, + LeaseDependencies(absl::flat_hash_set deps, CounterMap> &counter_map, - const TaskMetricsKey &task_key) + TaskMetricsKey task_key) : dependencies_(std::move(deps)), num_missing_dependencies_(dependencies_.size()), waiting_task_counter_map_(counter_map), - task_key_(task_key) { + task_key_(std::move(task_key)) { if (num_missing_dependencies_ > 0) { waiting_task_counter_map_.Increment(task_key_); } @@ -268,6 +266,9 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { } } + LeaseDependencies(const LeaseDependencies &) = delete; + LeaseDependencies &operator=(const LeaseDependencies &) = delete; + ~LeaseDependencies() { if (num_missing_dependencies_ > 0) { waiting_task_counter_map_.Decrement(task_key_); @@ -310,7 +311,7 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// The set of locally available objects. This is used to determine which /// leases are ready to run and which `ray.wait` requests can be finished. - std::unordered_set local_objects_; + absl::flat_hash_set local_objects_; /// Counts the number of active lease dependency fetches by lease name. The counter /// total will be less than or equal to the size of queued_lease_requests_. diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index bc886a851236..08eaa3ce91d5 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -25,6 +25,7 @@ #include "nlohmann/json.hpp" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/cgroup/cgroup_manager.h" +#include "ray/common/constants.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" #include "ray/common/ray_config.h" @@ -498,7 +499,12 @@ int main(int argc, char *argv[]) { << ", object_chunk_size = " << object_manager_config.object_chunk_size; RAY_LOG(INFO).WithField(raylet_node_id) << "Setting node ID"; - node_manager_config.AddDefaultLabels(raylet_node_id.Hex()); + std::vector default_keys = {kLabelKeyNodeID}; + for (const auto &key : default_keys) { + RAY_CHECK(!node_manager_config.labels.contains(key)) + << "The label key name " << key << " should never be set by the user."; + } + node_manager_config.labels[kLabelKeyNodeID] = raylet_node_id.Hex(); worker_pool = std::make_unique( main_service, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 39334551d410..4e55d453d180 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -31,8 +31,8 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/buffer.h" -#include "ray/common/common_protocol.h" #include "ray/common/constants.h" +#include "ray/common/flatbuf_utils.h" #include "ray/common/grpc_util.h" #include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" @@ -41,12 +41,9 @@ #include "ray/flatbuffers/node_manager_generated.h" #include "ray/gcs/pb_util.h" #include "ray/ipc/client_connection.h" -#include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" -#include "ray/rpc/node_manager/node_manager_client.h" #include "ray/stats/metric_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" @@ -54,20 +51,13 @@ #include "ray/util/string_utils.h" #include "ray/util/time.h" -namespace { - -#define RAY_CHECK_ENUM(x, y) \ - static_assert(static_cast(x) == static_cast(y), "protocol mismatch") +namespace ray::raylet { -struct ActorStats { - int live_actors = 0; - int dead_actors = 0; - int restarting_actors = 0; -}; +namespace { -inline ray::rpc::ObjectReference FlatbufferToSingleObjectReference( - const flatbuffers::String &object_id, const ray::protocol::Address &address) { - ray::rpc::ObjectReference ref; +rpc::ObjectReference FlatbufferToSingleObjectReference( + const flatbuffers::String &object_id, const protocol::Address &address) { + rpc::ObjectReference ref; ref.set_object_id(object_id.str()); ref.mutable_owner_address()->set_node_id(address.node_id()->str()); ref.mutable_owner_address()->set_ip_address(address.ip_address()->str()); @@ -76,39 +66,31 @@ inline ray::rpc::ObjectReference FlatbufferToSingleObjectReference( return ref; } -std::vector FlatbufferToObjectReference( +std::vector FlatbufferToObjectReferences( const flatbuffers::Vector> &object_ids, - const flatbuffers::Vector> - &owner_addresses) { + const flatbuffers::Vector> &owner_addresses) { RAY_CHECK(object_ids.size() == owner_addresses.size()); - std::vector refs; + std::vector refs; + refs.reserve(object_ids.size()); for (int64_t i = 0; i < object_ids.size(); i++) { - ray::rpc::ObjectReference ref; - ref.set_object_id(object_ids.Get(i)->str()); - const auto &addr = owner_addresses.Get(i); - ref.mutable_owner_address()->set_node_id(addr->node_id()->str()); - ref.mutable_owner_address()->set_ip_address(addr->ip_address()->str()); - ref.mutable_owner_address()->set_port(addr->port()); - ref.mutable_owner_address()->set_worker_id(addr->worker_id()->str()); - refs.emplace_back(std::move(ref)); + refs.push_back( + FlatbufferToSingleObjectReference(*object_ids.Get(i), *owner_addresses.Get(i))); } return refs; } -} // namespace - -namespace ray::raylet { - -void NodeManagerConfig::AddDefaultLabels(const std::string &self_node_id) { - std::vector default_keys = {kLabelKeyNodeID}; - - for (const auto &key : default_keys) { - RAY_CHECK(!labels.contains(key)) - << "The label key name " << key << " should never be set by the user."; +std::vector FlatbufferToObjectIds( + const flatbuffers::Vector> &vector) { + std::vector ids; + ids.reserve(vector.size()); + for (int64_t i = 0; i < vector.size(); i++) { + ids.push_back(ObjectID::FromBinary(vector.Get(i)->str())); } - labels[kLabelKeyNodeID] = self_node_id; + return ids; } +} // namespace + NodeManager::NodeManager( instrumented_io_context &io_service, const NodeID &self_node_id, @@ -136,7 +118,7 @@ NodeManager::NodeManager( self_node_name_(std::move(self_node_name)), io_service_(io_service), gcs_client_(gcs_client), - shutdown_raylet_gracefully_(shutdown_raylet_gracefully), + shutdown_raylet_gracefully_(std::move(shutdown_raylet_gracefully)), worker_pool_(worker_pool), client_call_manager_(client_call_manager), worker_rpc_pool_(worker_rpc_pool), @@ -156,8 +138,9 @@ NodeManager::NodeManager( }, /*delay_executor*/ [this](std::function fn, int64_t delay_ms) { - RAY_UNUSED(execute_after( - io_service_, fn, std::chrono::milliseconds(delay_ms))); + RAY_UNUSED(execute_after(io_service_, + std::move(fn), + std::chrono::milliseconds(delay_ms))); }), node_manager_server_("NodeManager", config.node_manager_port, @@ -647,7 +630,7 @@ void NodeManager::QueryAllWorkerStates( const std::function &on_all_replied) { auto all_workers = worker_pool_.GetAllRegisteredWorkers(/* filter_dead_worker */ true, /*filter_io_workers*/ true); - for (auto driver : + for (auto &driver : worker_pool_.GetAllRegisteredDrivers(/* filter_dead_driver */ true)) { all_workers.push_back(driver); } @@ -1047,7 +1030,7 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & } break; case protocol::MessageType::FreeObjectsInObjectStoreRequest: { auto message = flatbuffers::GetRoot(message_data); - std::vector object_ids = from_flatbuf(*message->object_ids()); + auto object_ids = FlatbufferToObjectIds(*message->object_ids()); // Clean up objects from the object store. object_manager_.FreeObjects(object_ids, message->local_only()); } break; @@ -1074,12 +1057,12 @@ Status NodeManager::ProcessRegisterClientRequestMessageImpl( client->Register(); Language language = static_cast(message->language()); - const JobID job_id = from_flatbuf(*message->job_id()); + const JobID job_id = JobID::FromBinary(message->job_id()->str()); const int runtime_env_hash = static_cast(message->runtime_env_hash()); - WorkerID worker_id = from_flatbuf(*message->worker_id()); + WorkerID worker_id = WorkerID::FromBinary(message->worker_id()->str()); pid_t pid = message->worker_pid(); StartupToken worker_startup_token = message->startup_token(); - std::string worker_ip_address = string_from_flatbuf(*message->ip_address()); + std::string worker_ip_address = message->ip_address()->str(); // TODO(suquark): Use `WorkerType` in `common.proto` without type converting. rpc::WorkerType worker_type = static_cast(message->worker_type()); if (worker_type == rpc::WorkerType::DRIVER) { @@ -1107,7 +1090,7 @@ Status NodeManager::ProcessRegisterClientRequestMessageImpl( ray::protocol::CreateRegisterClientReply(fbb, status.ok(), fbb.CreateString(status.ToString()), - to_flatbuf(fbb, self_node_id_), + flatbuf::to_flatbuf(fbb, self_node_id_), assigned_port); fbb.Finish(reply); client->WriteMessageAsync( @@ -1201,13 +1184,12 @@ void NodeManager::ProcessAnnounceWorkerPortMessageImpl( driver_address.set_ip_address(worker->IpAddress()); driver_address.set_port(port); driver_address.set_worker_id(worker->WorkerId().Binary()); - auto job_data_ptr = - gcs::CreateJobTableData(job_id, - /*is_dead=*/false, - driver_address, - worker->GetProcess().GetId(), - string_from_flatbuf(*message->entrypoint()), - *job_config); + auto job_data_ptr = gcs::CreateJobTableData(job_id, + /*is_dead=*/false, + driver_address, + worker->GetProcess().GetId(), + message->entrypoint()->str(), + *job_config); gcs_client_.Jobs().AsyncAdd(job_data_ptr, [this, client](Status status) { SendPortAnnouncementResponse(client, std::move(status)); @@ -1455,7 +1437,7 @@ void NodeManager::HandleAsyncGetObjectsRequest( const std::shared_ptr &client, const uint8_t *message_data) { auto request = flatbuffers::GetRoot(message_data); const auto refs = - FlatbufferToObjectReference(*request->object_ids(), *request->owner_addresses()); + FlatbufferToObjectReferences(*request->object_ids(), *request->owner_addresses()); // Asynchronously pull all requested objects to the local node. AsyncGetOrWait(client, @@ -1467,9 +1449,9 @@ void NodeManager::ProcessWaitRequestMessage( const std::shared_ptr &client, const uint8_t *message_data) { // Read the data. auto message = flatbuffers::GetRoot(message_data); - std::vector object_ids = from_flatbuf(*message->object_ids()); + auto object_ids = FlatbufferToObjectIds(*message->object_ids()); const auto refs = - FlatbufferToObjectReference(*message->object_ids(), *message->owner_addresses()); + FlatbufferToObjectReferences(*message->object_ids(), *message->owner_addresses()); bool all_objects_local = true; for (auto const &object_id : object_ids) { @@ -1490,9 +1472,10 @@ void NodeManager::ProcessWaitRequestMessage( // If we don't need to wait for any, return immediately after making the pull // requests through AsyncGetOrWait above. flatbuffers::FlatBufferBuilder fbb; - auto wait_reply = protocol::CreateWaitReply(fbb, - to_flatbuf(fbb, std::vector{}), - to_flatbuf(fbb, std::vector{})); + auto wait_reply = + protocol::CreateWaitReply(fbb, + flatbuf::to_flatbuf(fbb, std::vector{}), + flatbuf::to_flatbuf(fbb, std::vector{})); fbb.Finish(wait_reply); const auto status = client->WriteMessage(static_cast(protocol::MessageType::WaitReply), @@ -1507,17 +1490,17 @@ void NodeManager::ProcessWaitRequestMessage( } return; } - uint64_t num_required_objects = static_cast(message->num_required_objects()); + wait_manager_.Wait( object_ids, message->timeout(), - num_required_objects, - [this, client, all_objects_local](std::vector ready, - std::vector remaining) { + message->num_required_objects(), + [this, client, all_objects_local](const std::vector &ready, + const std::vector &remaining) { // Write the data. flatbuffers::FlatBufferBuilder fbb; flatbuffers::Offset wait_reply = protocol::CreateWaitReply( - fbb, to_flatbuf(fbb, ready), to_flatbuf(fbb, remaining)); + fbb, flatbuf::to_flatbuf(fbb, ready), flatbuf::to_flatbuf(fbb, remaining)); fbb.Finish(wait_reply); auto status = @@ -1544,39 +1527,39 @@ void NodeManager::ProcessWaitForActorCallArgsRequestMessage( const std::shared_ptr &client, const uint8_t *message_data) { auto message = flatbuffers::GetRoot(message_data); - std::vector object_ids = from_flatbuf(*message->object_ids()); + auto object_ids = FlatbufferToObjectIds(*message->object_ids()); int64_t tag = message->tag(); // Pull any missing objects to the local node. const auto refs = - FlatbufferToObjectReference(*message->object_ids(), *message->owner_addresses()); + FlatbufferToObjectReferences(*message->object_ids(), *message->owner_addresses()); AsyncGetOrWait(client, refs, /*is_get_request=*/false); // De-duplicate the object IDs. absl::flat_hash_set object_id_set(object_ids.begin(), object_ids.end()); object_ids.assign(object_id_set.begin(), object_id_set.end()); - wait_manager_.Wait( - object_ids, - -1, - object_ids.size(), - [this, client, tag](std::vector ready, std::vector remaining) { - RAY_CHECK(remaining.empty()); - std::shared_ptr worker = - worker_pool_.GetRegisteredWorker(client); - if (!worker) { - RAY_LOG(ERROR) << "Lost worker for wait request " << client; - } else { - worker->ActorCallArgWaitComplete(tag); - } - }); + wait_manager_.Wait(object_ids, + -1, + object_ids.size(), + [this, client, tag](const std::vector &ready, + const std::vector &remaining) { + RAY_CHECK(remaining.empty()); + std::shared_ptr worker = + worker_pool_.GetRegisteredWorker(client); + if (!worker) { + RAY_LOG(ERROR) << "Lost worker for wait request " << client; + } else { + worker->ActorCallArgWaitComplete(tag); + } + }); } void NodeManager::ProcessPushErrorRequestMessage(const uint8_t *message_data) { auto message = flatbuffers::GetRoot(message_data); - auto const &type = string_from_flatbuf(*message->type()); - auto const &error_message = string_from_flatbuf(*message->error_message()); + auto const &type = message->type()->str(); + auto const &error_message = message->error_message()->str(); // TODO(hjiang): Figure out what's the unit for `PushErrorRequest`. double timestamp = message->timestamp(); - JobID job_id = from_flatbuf(*message->job_id()); + JobID job_id = JobID::FromBinary(message->job_id()->str()); auto error_data = gcs::CreateErrorTableData( type, error_message, absl::FromUnixMillis(timestamp), job_id); gcs_client_.Errors().AsyncReportJobError(std::move(error_data)); @@ -1599,8 +1582,7 @@ void NodeManager::HandleCancelLeasesWithResourceShapes( const auto &resource_shapes = request.resource_shapes(); std::vector target_resource_shapes; for (const auto &resource_shape : resource_shapes) { - target_resource_shapes.emplace_back( - ResourceSet(MapFromProtobuf(resource_shape.resource_shape()))); + target_resource_shapes.emplace_back(MapFromProtobuf(resource_shape.resource_shape())); } cluster_lease_manager_.CancelLeasesWithResourceShapes(target_resource_shapes); @@ -2034,17 +2016,17 @@ void NodeManager::HandleReleaseUnusedActorWorkers( rpc::ReleaseUnusedActorWorkersRequest request, rpc::ReleaseUnusedActorWorkersReply *reply, rpc::SendReplyCallback send_reply_callback) { - std::unordered_set in_use_worker_ids; - for (int index = 0; index < request.worker_ids_in_use_size(); ++index) { - auto worker_id = WorkerID::FromBinary(request.worker_ids_in_use(index)); - in_use_worker_ids.emplace(worker_id); + absl::flat_hash_set in_use_worker_ids; + in_use_worker_ids.reserve(request.worker_ids_in_use_size()); + for (const auto &worker_id_in_use_binary : request.worker_ids_in_use()) { + in_use_worker_ids.emplace(WorkerID::FromBinary(worker_id_in_use_binary)); } std::vector> unused_actor_workers; for (auto &iter : leased_workers_) { // We only kill *actor* workers. if (!iter.second->GetActorId().IsNil() && - !in_use_worker_ids.count(iter.second->WorkerId())) { + !in_use_worker_ids.contains(iter.second->WorkerId())) { unused_actor_workers.push_back(iter.second); } } @@ -2253,7 +2235,7 @@ void NodeManager::HandleObjectLocal(const ObjectInfo &object_info) { rpc::PlasmaObjectReadyRequest request; request.set_object_id(object_id.Binary()); - for (auto worker : waiting_workers) { + for (const auto &worker : waiting_workers) { worker->rpc_client()->PlasmaObjectReady( request, [](Status status, const rpc::PlasmaObjectReadyReply &reply) { if (!status.ok()) { @@ -2295,7 +2277,7 @@ void NodeManager::ProcessSubscribePlasmaReady( << "No worker exists for CoreWorker with client: " << client->DebugString(); auto message = flatbuffers::GetRoot(message_data); - auto id = from_flatbuf(*message->object_id()); + auto id = ObjectID::FromBinary(message->object_id()->str()); if (lease_dependency_manager_.CheckObjectLocal(id)) { // Object is already local, so we directly fire the callback to tell the core worker diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 0344677df99e..4631f8bf0b72 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -119,8 +119,6 @@ struct NodeManagerConfig { // If true, core worker enables resource isolation by adding itself into appropriate // cgroup. bool enable_resource_isolation = false; - - void AddDefaultLabels(const std::string &self_node_id); }; class NodeManager : public rpc::NodeManagerServiceHandler, diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 8e55cb4adfe7..5981265d503c 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -20,8 +20,6 @@ #include #include -#include "absl/synchronization/notification.h" -#include "ray/common/common_protocol.h" #include "ray/common/ray_config.h" #include "ray/util/logging.h" From d27451e79bd5a4fd2fbcbb16ca1e914d4406cbfa Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Mon, 1 Sep 2025 21:06:47 -0700 Subject: [PATCH 0969/1566] [train][checkpoint] Add ray.train.get_all_reported_checkpoints method (#54555) # Summary This PR adds a `ray.train.get_all_reported_checkpoints` method that allows users to get all the checkpoints they have reported from within their training function. This is different from [Result](https://docs.ray.io/en/latest/train/user-guides/results.html) in two ways: * It is called from the training function on the training worker instead of from the driver * It can be called while training is still in progress # Implementation Notes The main idea is to use a worker-side counter and controller-side counter as follows: * Train worker: `ray.train.report` increments a `num_reported_checkpoints` counter and puts the training result into its queue * Train controller: polls the training results from all worker, registers the checkpoint, increments `num_reported_checkpoints`, and then creates an asyncio task to notify asyncio Condition. This works because asyncio Ray actors should always have an event loop. * Train worker: `get_all_reported_results` uses an asyncio.Condition to wait until the worker-side `num_reported_checkpoints` counter matches its controller-side counterpart before returning the checkpoints. This ensures that we wait for all pending reports to finish. It has access to the controller actor through `init_train_context`. `get_checkpoint` should be unaffected because it uses the local checkpoint; we can consider changing it to use the "centrally committed" checkpoint in the future. # Testing I ran the [ray train pytorch example](https://docs.ray.io/en/latest/train/getting-started-pytorch.html) and called `ray.train.get_all_reported_checkpoints` at the end of each epoch. The results are as expected; here are a few examples ` epoch 4: [TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-34-52.538994), metrics={'loss': 0.24510294198989868, 'epoch': 0}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-07.511694), metrics={'loss': 0.23799467086791992, 'epoch': 1}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-24.355974), metrics={'loss': 0.39628422260284424, 'epoch': 2}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-40.273211), metrics={'loss': 0.15193207561969757, 'epoch': 3}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-56.178119), metrics={'loss': 0.17416314780712128, 'epoch': 4})] ` ` epoch 9: [TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-34-52.538994), metrics={'loss': 0.24510294198989868, 'epoch': 0}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-07.511694), metrics={'loss': 0.23799467086791992, 'epoch': 1}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-24.355974), metrics={'loss': 0.39628422260284424, 'epoch': 2}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-40.273211), metrics={'loss': 0.15193207561969757, 'epoch': 3}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-35-56.178119), metrics={'loss': 0.17416314780712128, 'epoch': 4}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-36-12.547310), metrics={'loss': 0.2924661934375763, 'epoch': 5}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-36-28.538090), metrics={'loss': 0.18640762567520142, 'epoch': 6}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-36-44.583228), metrics={'loss': 0.12567029893398285, 'epoch': 7}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-37-00.540405), metrics={'loss': 0.1620682030916214, 'epoch': 8}), TrainingResult(checkpoint=Checkpoint(filesystem=local, path=/mnt/cluster_storage/my_run_name/checkpoint_2025-08-04_17-37-17.129973), metrics={'loss': 0.07022886723279953, 'epoch': 9})] ` I also modified all the Ray Train v2 unit tests that call `ray.train.report`: * `test_persistence` also verifies that `get_all_reported_checkpoints` works on resumption * `test_data_parallel_trainer` verifies that `get_all_reported_checkpoints` stalls until all workers report. I also verified that `get_all_reported_checkpoints` produced similar output when called from Tune + Train. I tried to test that `get_all_reported_checkpoints` finished even with graceful abort but was unable to create such a scenario since `get_all_reported_checkpoints` returns very quickly and each `report` forms a barrier. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 8 --- python/ray/train/__init__.py | 7 +++ .../checkpoint/checkpoint_manager.py | 41 +++++++++++++- .../train/v2/_internal/execution/context.py | 30 ++++++++--- .../execution/controller/controller.py | 18 ++++++- .../v2/_internal/execution/train_fn_utils.py | 18 +++++-- .../execution/worker_group/worker.py | 2 + .../execution/worker_group/worker_group.py | 1 + .../ray/train/v2/api/reported_checkpoint.py | 21 ++++++++ python/ray/train/v2/api/train_fn_utils.py | 54 +++++++++++++++++-- python/ray/train/v2/tests/conftest.py | 24 +++++++++ .../train/v2/tests/test_accelerator_utils.py | 2 +- .../train/v2/tests/test_checkpoint_manager.py | 16 +++--- python/ray/train/v2/tests/test_controller.py | 2 + .../v2/tests/test_data_parallel_trainer.py | 24 +++++++++ python/ray/train/v2/tests/test_persistence.py | 13 +++++ .../ray/train/v2/tests/test_worker_group.py | 2 + 17 files changed, 252 insertions(+), 31 deletions(-) create mode 100644 python/ray/train/v2/api/reported_checkpoint.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 84b97b4f4724..a6ab3cb60a2b 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -2006,14 +2006,6 @@ python/ray/train/v2/_internal/callbacks/accelerators.py python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py DOC103: Method `CheckpointManager.register_checkpoint`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint_result: _TrainingResult]. Arguments in the docstring but not in the function signature: [checkpoint: ]. -------------------- -python/ray/train/v2/_internal/execution/context.py - DOC101: Method `TrainContext._save_checkpoint`: Docstring contains fewer arguments than in function signature. - DOC103: Method `TrainContext._save_checkpoint`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint: Optional[Checkpoint], checkpoint_dir_name: str, metrics: Dict[str, Any]]. --------------------- -python/ray/train/v2/_internal/execution/controller/controller.py - DOC101: Method `TrainController._start_worker_group`: Docstring contains fewer arguments than in function signature. - DOC103: Method `TrainController._start_worker_group`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [num_workers: int, resources_per_worker: dict]. --------------------- python/ray/train/v2/_internal/execution/storage.py DOC101: Method `_ExcludingLocalFilesystem.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `_ExcludingLocalFilesystem.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: ]. diff --git a/python/ray/train/__init__.py b/python/ray/train/__init__.py index 7713ccb705af..5b72413f79bf 100644 --- a/python/ray/train/__init__.py +++ b/python/ray/train/__init__.py @@ -34,8 +34,10 @@ RunConfig, ScalingConfig, ) + from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint # noqa: F811 from ray.train.v2.api.result import Result # noqa: F811 from ray.train.v2.api.train_fn_utils import ( # noqa: F811 + get_all_reported_checkpoints, get_checkpoint, get_context, get_dataset_shard, @@ -76,9 +78,14 @@ SyncConfig.__module__ = "ray.train" TrainingIterator.__module__ = "ray.train" +# TODO: consider implementing these in v1 and raising ImportError instead. if is_v2_enabled(): __all__.append("UserCallback") UserCallback.__module__ = "ray.train" + __all__.append("get_all_reported_checkpoints") + get_all_reported_checkpoints.__module__ = "ray.train" + __all__.append("ReportedCheckpoint") + ReportedCheckpoint.__module__ = "ray.train" # DO NOT ADD ANYTHING AFTER THIS LINE. diff --git a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py index a241ce43619d..bb0ed40e5503 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py @@ -1,3 +1,4 @@ +import asyncio import logging from typing import Any, Dict, List, Optional @@ -16,6 +17,7 @@ from ray.train.v2._internal.execution.context import StorageContext from ray.train.v2._internal.execution.storage import _delete_fs_path, _exists_at_fs_path from ray.train.v2._internal.execution.worker_group import Worker +from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint try: from pydantic import BaseModel @@ -81,6 +83,12 @@ def __init__( ): self._storage_context = storage_context self._checkpoint_config = checkpoint_config + + # This tracks the number of report calls that have been processed + # for the current worker group. + self._num_report_calls = 0 + + self._condition = asyncio.Condition() super().__init__(checkpoint_config) # If the snapshot is found, the checkpoint manager will restore its state. self._maybe_load_state_from_storage() @@ -139,6 +147,14 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): logger.debug("Deleting checkpoint: ", checkpoint) _delete_fs_path(fs=checkpoint.filesystem, fs_path=checkpoint.path) + self._num_report_calls += 1 + + async def async_notify(): + async with self._condition: + self._condition.notify_all() + + asyncio.create_task(async_notify()) + # -------------------------- # CheckpointManager state # -------------------------- @@ -267,6 +283,7 @@ def after_report( self, metrics: List[Dict[str, Any]], checkpoint: Optional[Checkpoint] ): if not checkpoint: + self._num_report_calls += 1 return rank_0_metrics = metrics[0] @@ -279,9 +296,31 @@ def after_report( # -------------------------- def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: + self._num_report_calls = 0 latest_checkpoint = ( self.latest_checkpoint_result.checkpoint if self.latest_checkpoint_result else None ) - return {"checkpoint": [latest_checkpoint] * len(workers)} + train_context_args = { + "checkpoint": [latest_checkpoint] * len(workers), + } + return train_context_args + + async def get_all_reported_checkpoints( + self, expected_num_report_calls: int + ) -> List[ReportedCheckpoint]: + """Once expected_num_checkpoints are reported, return the ReportedCheckpoints.""" + async with self._condition: + await self._condition.wait_for( + lambda: self._num_report_calls == expected_num_report_calls + ) + # TODO: might be nice for CheckpointManager to manage ReportedCheckpoint + # instead of _TrainingResult but that is a large refactor. + return [ + ReportedCheckpoint( + checkpoint=tr.checkpoint, + metrics=tr.metrics, + ) + for tr in self._checkpoint_results + ] diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index a19b308b0709..d21678b307b6 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -7,8 +7,8 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional import ray +from ray.actor import ActorHandle from ray.data import DataIterator, Dataset -from ray.train import BackendConfig, Checkpoint, DataConfig from ray.train._internal import session from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor @@ -17,12 +17,14 @@ from ray.train.v2.api.config import RunConfig, ScalingConfig if TYPE_CHECKING: + from ray.train import BackendConfig, Checkpoint, DataConfig from ray.train.v2._internal.data_integration.interfaces import ( DatasetShardMetadata, DatasetShardProvider, ) from ray.train.v2._internal.execution.callback import TrainContextCallback from ray.train.v2._internal.execution.worker_group.thread_runner import ThreadRunner + from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint logger = logging.getLogger(__file__) @@ -45,13 +47,13 @@ class TrainRunContext: scaling_config: ScalingConfig # The configuration for the training backend (e.g., PyTorch, XGBoost). - backend_config: BackendConfig + backend_config: "BackendConfig" # The datasets used in the current training run. datasets: Dict[str, Dataset] # The configuration for dataset ingestion and sharding. - dataset_config: DataConfig + dataset_config: "DataConfig" def get_run_config(self) -> RunConfig: """Returns the run config of the current training run.""" @@ -96,8 +98,11 @@ class TrainContext: distributed_context: DistributedContext execution_context: ExecutionContext storage_context: StorageContext + controller_actor: ActorHandle + dataset_shard_provider: "DatasetShardProvider" - checkpoint: Optional[Checkpoint] = None + checkpoint: Optional["Checkpoint"] = None + num_report_calls: int = 0 @_copy_doc(session.get_experiment_name) def get_experiment_name(self) -> str: @@ -137,6 +142,13 @@ def get_synchronization_actor(self): def get_checkpoint(self): return self.checkpoint + def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: + return ray.get( + self.controller_actor.get_all_reported_checkpoints.remote( + self.num_report_calls + ) + ) + def get_dataset_shard(self, dataset_info: "DatasetShardMetadata") -> DataIterator: """Returns the :class:`ray.data.DataIterator` shard for this worker. @@ -189,10 +201,15 @@ def _save_checkpoint( self, checkpoint_dir_name: str, metrics: Dict[str, Any], - checkpoint: Optional[Checkpoint] = None, + checkpoint: Optional["Checkpoint"] = None, ) -> _TrainingResult: """Save the checkpoint to remote storage. + Args: + checkpoint_dir_name: The checkpoint dir to persist to. + metrics: The metrics to report. + checkpoint: The checkpoint to report. + Returns: The training result object containing the persisted checkpoint. """ @@ -212,7 +229,7 @@ def _save_checkpoint( def report( self, metrics: Dict[str, Any], - checkpoint: Optional[Checkpoint] = None, + checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, ) -> None: """ @@ -265,6 +282,7 @@ def report( # TODO (hpguo): Add a metrics to track the blocking time waiting for the # training result to be consumed by the controller. self.get_result_queue().put(training_result) + self.num_report_calls += 1 # The global variable holding the current TrainContext diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 59d3760bb503..224d8b906362 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -3,7 +3,7 @@ import os import uuid from dataclasses import dataclass -from typing import Callable, List, Optional, Union +from typing import TYPE_CHECKING, Callable, List, Optional, Union import pandas as pd @@ -67,6 +67,10 @@ ) from ray.train.v2.api.result import Result +if TYPE_CHECKING: + from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint + + logger = logging.getLogger(__name__) @@ -275,6 +279,10 @@ def _start_worker_group( ) -> Optional[ControllerError]: """Start the worker group and launch the train function. + Args: + num_workers: The number of workers to start. + resources_per_worker: The resources per worker to start. + Returns: None if the worker group was successfully started, ControllerError if the worker group failed to start. @@ -537,7 +545,6 @@ def get_result(self) -> Result: raise ValueError( f"Cannot get result when controller is in state {controller_state}" ) - return self._build_result() def get_training_failed_error(self) -> Optional[TrainingFailedError]: @@ -553,3 +560,10 @@ def get_training_failed_error(self) -> Optional[TrainingFailedError]: return controller_state.training_failed_error return None + + async def get_all_reported_checkpoints( + self, expected_num_report_calls: int + ) -> List["ReportedCheckpoint"]: + return await self._checkpoint_manager.get_all_reported_checkpoints( + expected_num_report_calls + ) diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 6038e6655465..3fb791b667d6 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -1,14 +1,17 @@ import threading -from typing import Any, Dict, Optional +from typing import TYPE_CHECKING, Any, Dict, List, Optional from ray.data import DataIterator -from ray.train import Checkpoint from ray.train.v2._internal.execution import collective_impl from ray.train.v2._internal.execution.context import ( get_train_context as get_internal_train_context, ) from ray.train.v2.api.context import TrainContext as ExternalTrainContext +if TYPE_CHECKING: + from ray.train import Checkpoint + from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint + class TrainFnUtils: """Utility class providing an abstraction layer between user-facing APIs @@ -21,7 +24,7 @@ class TrainFnUtils: def report( self, metrics: Dict[str, Any], - checkpoint: Optional[Checkpoint] = None, + checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, ) -> None: """Upload checkpoint to remote storage and put a training result on the result queue. @@ -46,6 +49,15 @@ def get_checkpoint(self): """ return get_internal_train_context().get_checkpoint() + def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: + """Get all the checkpoints reported by the workers. + + Returns: + A list of ReportedCheckpoint objects that represent the checkpoints and + corresponding metrics reported by the workers. + """ + return get_internal_train_context().get_all_reported_checkpoints() + def get_dataset_shard(self, dataset_name: str) -> DataIterator: """Get the dataset shard for this worker. diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index be2e935ca40e..8afc8a7b681e 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -194,6 +194,7 @@ def init_train_context( synchronization_actor: SynchronizationActor, storage_context: StorageContext, worker_callbacks: List[Union[WorkerCallback, TrainContextCallback]], + controller_actor: ActorHandle, dataset_shard_provider: Optional["DatasetShardProvider"] = None, checkpoint: Optional[Checkpoint] = None, ): @@ -213,6 +214,7 @@ def init_train_context( train_context_callbacks=context_callbacks_to_propagate, ), storage_context=storage_context, + controller_actor=controller_actor, checkpoint=checkpoint, dataset_shard_provider=dataset_shard_provider, ) diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index 81087c0f91c7..a3a81fa2021c 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -437,6 +437,7 @@ def _init_train_context_on_workers( synchronization_actor=sync_actor, storage_context=self._storage_context, worker_callbacks=self._worker_callbacks_to_propagate, + controller_actor=ray.get_runtime_context().current_actor, **{ arg: arg_values[i] for arg, arg_values in train_context_args.items() }, diff --git a/python/ray/train/v2/api/reported_checkpoint.py b/python/ray/train/v2/api/reported_checkpoint.py new file mode 100644 index 000000000000..2224f52280d4 --- /dev/null +++ b/python/ray/train/v2/api/reported_checkpoint.py @@ -0,0 +1,21 @@ +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Dict + +from ray.util.annotations import PublicAPI + +if TYPE_CHECKING: + from ray.train import Checkpoint + + +@dataclass +@PublicAPI(stability="alpha") +class ReportedCheckpoint: + """A user-reported checkpoint and its associated metrics. + + Attributes: + checkpoint: The checkpoint reported by the user. + metrics: The metrics associated with that checkpoint. + """ + + checkpoint: "Checkpoint" + metrics: Dict[str, Any] diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index efd3e6575ef4..06603b8c409b 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -1,18 +1,19 @@ -from typing import TYPE_CHECKING, Any, Dict, Optional +from typing import TYPE_CHECKING, Any, Dict, List, Optional -from ray.train import Checkpoint from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.context import TrainContext from ray.util.annotations import PublicAPI if TYPE_CHECKING: from ray.data import DataIterator + from ray.train import Checkpoint + from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint @PublicAPI(stability="stable") def report( metrics: Dict[str, Any], - checkpoint: Optional[Checkpoint] = None, + checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, ): """Report metrics and optionally save a checkpoint. @@ -107,7 +108,7 @@ def get_context() -> TrainContext: @PublicAPI(stability="stable") -def get_checkpoint() -> Optional[Checkpoint]: +def get_checkpoint() -> Optional["Checkpoint"]: """Access the latest reported checkpoint to resume from if one exists. Example: @@ -151,6 +152,51 @@ def train_func(config): return get_train_fn_utils().get_checkpoint() +@PublicAPI(stability="alpha") +def get_all_reported_checkpoints() -> List["ReportedCheckpoint"]: + """Get all the reported checkpoints so far. + + Blocks until Ray Train has finished processing every `ray.train.report` call. + + Example: + + .. testcode:: + + import tempfile + + from ray import train + from ray.train import Checkpoint + from ray.train.torch import TorchTrainer + + + def train_func(config): + start_epoch = 0 + + for epoch in range(start_epoch, config.get("num_epochs", 10)): + # Do training... + + metrics = {"loss": ...} + + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + # Save the checkpoint... + + checkpoint = Checkpoint.from_directory(temp_checkpoint_dir) + train.report(metrics, checkpoint=checkpoint) + + reported_checkpoints = train.get_all_reported_checkpoints() + # Report artifacts/metrics to experiment tracking framework... + + trainer = TorchTrainer( + train_func, scaling_config=train.ScalingConfig(num_workers=2) + ) + + Returns: + List of ReportedCheckpoint objects that represent the checkpoints and + corresponding metrics reported by the workers. + """ + return get_train_fn_utils().get_all_reported_checkpoints() + + @PublicAPI(stability="stable") def get_dataset_shard(dataset_name: Optional[str] = None) -> Optional["DataIterator"]: """Returns the :class:`ray.data.DataIterator` shard for this worker. diff --git a/python/ray/train/v2/tests/conftest.py b/python/ray/train/v2/tests/conftest.py index 6f52bcd6e438..da060d7e8dee 100644 --- a/python/ray/train/v2/tests/conftest.py +++ b/python/ray/train/v2/tests/conftest.py @@ -3,6 +3,7 @@ import pytest import ray +from ray import runtime_context from ray.train.v2._internal.constants import ( ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, ) @@ -34,3 +35,26 @@ def shutdown_only(): def disable_state_actor_polling(monkeypatch): monkeypatch.setenv(ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, "0") yield + + +@pytest.fixture +def mock_runtime_context(monkeypatch): + @ray.remote + class DummyActor: + pass + + # Must return real actor handle so it can get passed to other actors + # Cannot create actor here since ray has not been initialized yet + def mock_current_actor(self): + return DummyActor.remote() + + # In unit tests where the controller is not an actor, current_actor is + # a DummyActor, which is ok because it won't be called in those tests. + # In unit tests where the controller is an actor, current_actor is the + # controller actor because monkeypatch doesn't propagate to the actor + # process. Those tests can successfully test methods on that actor. + monkeypatch.setattr( + runtime_context.RuntimeContext, "current_actor", property(mock_current_actor) + ) + + yield diff --git a/python/ray/train/v2/tests/test_accelerator_utils.py b/python/ray/train/v2/tests/test_accelerator_utils.py index 8c5cff9cd06f..d9e0149bf64c 100644 --- a/python/ray/train/v2/tests/test_accelerator_utils.py +++ b/python/ray/train/v2/tests/test_accelerator_utils.py @@ -98,7 +98,7 @@ def test_missing_accelerator(): ) -def test_accelerator_setup_callback(mock_gpu_cluster): +def test_accelerator_setup_callback(mock_gpu_cluster, mock_runtime_context): """The accelerator setup callback should set the CUDA_VISIBLE_DEVICES on each worker properly.""" diff --git a/python/ray/train/v2/tests/test_checkpoint_manager.py b/python/ray/train/v2/tests/test_checkpoint_manager.py index e1caf79cd8f9..3debda020e7e 100644 --- a/python/ray/train/v2/tests/test_checkpoint_manager.py +++ b/python/ray/train/v2/tests/test_checkpoint_manager.py @@ -89,9 +89,11 @@ def _training_results_equal( ), ], ) -def test_save_load_state_equivalence( +async def test_save_load_state_equivalence( monkeypatch, tmp_path, checkpoint_config: CheckpointConfig ): + # Use async here because register_checkpoint creates an async task + # Mock the delete function as we don't want report checkpoints to be deleted. monkeypatch.setattr( ray.train.v2._internal.execution.checkpoint.checkpoint_manager, @@ -113,8 +115,9 @@ def test_save_load_state_equivalence( ) # Register the training results into checkpoint manager - for tr in training_results: + for i, tr in enumerate(training_results): checkpoint_manager.register_checkpoint(tr) + assert checkpoint_manager._num_report_calls == i + 1 loaded_checkpoint_manager = CheckpointManager( storage_context=storage_context, checkpoint_config=checkpoint_config, @@ -145,7 +148,8 @@ def test_load_state_error(tmp_path, json_state): checkpoint_manager._load_state(json_state) -def test_before_init_train_context(tmp_path): +async def test_before_init_train_context(tmp_path): + storage_context = StorageContext( storage_path=tmp_path, experiment_dir_name="my_experiment_name", @@ -158,14 +162,14 @@ def test_before_init_train_context(tmp_path): # Assert without a checkpoint. assert checkpoint_manager.before_init_train_context(workers) == { - "checkpoint": [None] * 4 + "checkpoint": [None] * 4, } # Assert with a checkpoint latest_checkpoint_result = _create_dummy_training_results(1, storage_context)[0] - checkpoint_manager._latest_checkpoint_result = latest_checkpoint_result + checkpoint_manager.register_checkpoint(latest_checkpoint_result) assert checkpoint_manager.before_init_train_context(workers) == { - "checkpoint": [latest_checkpoint_result.checkpoint] * 4 + "checkpoint": [latest_checkpoint_result.checkpoint] * 4, } diff --git a/python/ray/train/v2/tests/test_controller.py b/python/ray/train/v2/tests/test_controller.py index 3fbddbc2b64e..80a45fba69a3 100644 --- a/python/ray/train/v2/tests/test_controller.py +++ b/python/ray/train/v2/tests/test_controller.py @@ -36,6 +36,8 @@ create_dummy_run_context, ) +pytestmark = pytest.mark.usefixtures("mock_runtime_context") + @pytest.fixture(autouse=True) def patch_worker_group(monkeypatch): diff --git a/python/ray/train/v2/tests/test_data_parallel_trainer.py b/python/ray/train/v2/tests/test_data_parallel_trainer.py index c4ec69739ed3..007bd1226f23 100644 --- a/python/ray/train/v2/tests/test_data_parallel_trainer.py +++ b/python/ray/train/v2/tests/test_data_parallel_trainer.py @@ -141,6 +141,30 @@ def train_fn(): assert tmp_path.joinpath("validate", str(rank)).exists() +def test_report_get_all_reported_checkpoints(): + """Check that get_all_reported_checkpoints returns checkpoints depending on # report calls.""" + + def train_fn(): + if ray.train.get_context().get_world_rank() == 0: + ray.train.report(metrics={}, checkpoint=None) + with create_dict_checkpoint({}) as checkpoint: + ray.train.report(metrics={}, checkpoint=checkpoint) + assert len(ray.train.get_all_reported_checkpoints()) == 1 + with create_dict_checkpoint({}) as checkpoint: + ray.train.report(metrics={}, checkpoint=checkpoint) + else: + ray.train.report(metrics={}, checkpoint=None) + ray.train.report(metrics={}, checkpoint=None) + ray.train.report(metrics={}, checkpoint=None) + assert len(ray.train.get_all_reported_checkpoints()) == 2 + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + ) + trainer.fit() + + def test_error(tmp_path): def _error_func_rank_0(): """An example train_fun that raises an error on rank 0.""" diff --git a/python/ray/train/v2/tests/test_persistence.py b/python/ray/train/v2/tests/test_persistence.py index b1891bbc6e89..2649c5ce2ad7 100644 --- a/python/ray/train/v2/tests/test_persistence.py +++ b/python/ray/train/v2/tests/test_persistence.py @@ -174,6 +174,10 @@ def train_fn(config): print("Loaded back state from checkpoint:", state) start = state["iter"] + 1 + assert len(ray.train.get_all_reported_checkpoints()) == min( + start, config.get("num_to_keep", float("inf")) + ) + for i in range(start, config.get("num_iterations", 5)): time.sleep(config.get("time_per_iter", 0.25)) @@ -215,6 +219,9 @@ def train_fn(config): ray.train.collective.barrier() if i in config.get("fail_iters", []): + assert len(ray.train.get_all_reported_checkpoints()) == min( + i + 1, config.get("num_to_keep", float("inf")) + ) raise RuntimeError(f"Failing on iter={i}!!") @@ -305,6 +312,10 @@ def test_trainer( exp_name = f"trainer_persistence_test-{uuid.uuid4().hex}" no_checkpoint_ranks = [0] + if checkpoint_config.num_to_keep: + num_to_keep = checkpoint_config.num_to_keep + else: + num_to_keep = float("inf") with _resolve_storage_type(storage_path_type, tmp_path) as ( storage_path, @@ -325,6 +336,7 @@ def test_trainer( # Test that global rank 0 is not required to checkpoint. "no_checkpoint_ranks": no_checkpoint_ranks, "time_per_iter": time_between_reports, + "num_to_keep": num_to_keep, }, scaling_config=ScalingConfig(num_workers=TestConstants.NUM_WORKERS), run_config=run_config, @@ -341,6 +353,7 @@ def test_trainer( # Test that global rank 0 is not required to checkpoint. "no_checkpoint_ranks": no_checkpoint_ranks, "time_per_iter": time_between_reports, + "num_to_keep": num_to_keep, }, scaling_config=ScalingConfig(num_workers=TestConstants.NUM_WORKERS), run_config=run_config, diff --git a/python/ray/train/v2/tests/test_worker_group.py b/python/ray/train/v2/tests/test_worker_group.py index 4146cdd763aa..2b796e751c9a 100644 --- a/python/ray/train/v2/tests/test_worker_group.py +++ b/python/ray/train/v2/tests/test_worker_group.py @@ -32,6 +32,8 @@ from ray.train.v2.api.config import RunConfig from ray.train.v2.tests.util import DummyObjectRefWrapper, create_dummy_run_context +pytestmark = pytest.mark.usefixtures("mock_runtime_context") + @pytest.fixture(autouse=True, scope="module") def ray_start_4_cpus(): From 4cbf7d042fb64e2d411ed4138698573fc9921244 Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Tue, 2 Sep 2025 20:22:53 +0530 Subject: [PATCH 0970/1566] Enable ruff for several folders including `python/ray/includes/ ` and `python/ray/streaming/` (#56078) Signed-off-by: czgdp1807 Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- pyproject.toml | 6 ------ python/ray/scripts/scripts.py | 30 ++++++++++++++--------------- python/ray/scripts/symmetric_run.py | 11 ++++++----- 4 files changed, 22 insertions(+), 27 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 30ef94097deb..28358c2a9218 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,7 +44,7 @@ repos: args: [ --fix, --exit-non-zero-on-fix ] - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] - files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/dag/' + files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/' - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" diff --git a/pyproject.toml b/pyproject.toml index fde27ee07b05..765fd83f3423 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,12 +65,6 @@ afterray = ["psutil", "setproctitle"] "python/ray/setup-dev.py" = ["I"] "python/ray/cloudpickle/*" = ["I"] "python/ray/dag/__init__.py" = ["I"] -"python/ray/includes/*" = ["I"] -"python/ray/internal/*" = ["I"] -"python/ray/ray_operator/*" = ["I"] -"python/ray/scripts/*" = ["I"] -"python/ray/serve/generated/serve_pb2.py" = ["I"] -"python/ray/streaming/*" = ["I"] "python/ray/tests/*" = ["I"] "python/ray/util/*" = ["I"] "python/ray/workers/*" = ["I"] diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index 9818eb308604..e05657a5d3c2 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -3,6 +3,7 @@ import logging import os import platform +import shutil import signal import subprocess import sys @@ -10,35 +11,32 @@ import urllib import urllib.parse import warnings -import shutil from datetime import datetime -from typing import Optional, Set, List, Tuple -from ray._common.utils import load_class -from ray.dashboard.modules.metrics import install_and_start_prometheus -from ray.util.check_open_ports import check_open_ports -import requests +from typing import List, Optional, Set, Tuple import click import colorama -import psutil +import requests import yaml import ray +import ray._common.usage.usage_constants as usage_constant import ray._private.ray_constants as ray_constants import ray._private.services as services +from ray._common.network_utils import build_address, parse_address +from ray._common.usage import usage_lib +from ray._common.utils import load_class +from ray._private.internal_api import memory_summary from ray._private.label_utils import ( - parse_node_labels_json, parse_node_labels_from_yaml_file, + parse_node_labels_json, parse_node_labels_string, ) +from ray._private.resource_isolation_config import ResourceIsolationConfig from ray._private.utils import ( get_ray_client_dependency_error, parse_resources_json, ) -from ray._common.network_utils import parse_address, build_address -from ray._private.internal_api import memory_summary -from ray._common.usage import usage_lib -import ray._common.usage.usage_constants as usage_constant from ray.autoscaler._private.cli_logger import add_click_logging_options, cf, cli_logger from ray.autoscaler._private.commands import ( RUN_ENV_TYPES, @@ -57,10 +55,12 @@ ) from ray.autoscaler._private.constants import RAY_PROCESSES from ray.autoscaler._private.fake_multi_node.node_provider import FAKE_HEAD_NODE_ID -from ray.util.annotations import PublicAPI from ray.core.generated import autoscaler_pb2 -from ray._private.resource_isolation_config import ResourceIsolationConfig +from ray.dashboard.modules.metrics import install_and_start_prometheus +from ray.util.annotations import PublicAPI +from ray.util.check_open_ports import check_open_ports +import psutil logger = logging.getLogger(__name__) @@ -2725,9 +2725,9 @@ def add_command_alias(command, name, hidden): try: from ray.util.state.state_cli import ( + logs_state_cli_group, ray_get, ray_list, - logs_state_cli_group, summary_state_cli_group, ) diff --git a/python/ray/scripts/symmetric_run.py b/python/ray/scripts/symmetric_run.py index e93087574369..22f43e58ad57 100644 --- a/python/ray/scripts/symmetric_run.py +++ b/python/ray/scripts/symmetric_run.py @@ -1,18 +1,19 @@ """Symmetric Run for Ray.""" -from typing import List - -import click -import ray import socket -import psutil import subprocess import sys import time +from typing import List +import click + +import ray from ray._private.ray_constants import env_integer from ray._raylet import GcsClient +import psutil + CLUSTER_WAIT_TIMEOUT = env_integer("RAY_SYMMETRIC_RUN_CLUSTER_WAIT_TIMEOUT", 30) From 8d4cecf5618a9b140b8ca6ea866c9538523ed14d Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 2 Sep 2025 11:56:12 -0500 Subject: [PATCH 0971/1566] [core] Move `gcs/callback.h` to `common/gcs_callback.h` (#56161) These callbacks are used across components through pubub & the GCS client. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 8 ++++++++ src/ray/{gcs/callback.h => common/gcs_callbacks.h} | 12 ------------ src/ray/gcs/BUILD.bazel | 8 -------- src/ray/gcs/gcs_client/accessor.h | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 2 -- src/ray/gcs/gcs_server/gcs_init_data.h | 1 - src/ray/gcs/gcs_server/gcs_table_storage.cc | 1 - src/ray/gcs/pubsub/BUILD.bazel | 2 +- src/ray/gcs/pubsub/gcs_pub_sub.h | 2 +- src/ray/gcs/store_client/BUILD.bazel | 5 +---- src/ray/gcs/store_client/store_client.h | 2 +- 11 files changed, 13 insertions(+), 32 deletions(-) rename src/ray/{gcs/callback.h => common/gcs_callbacks.h} (81%) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index e7baf5412576..9a2434e20b78 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -334,3 +334,11 @@ ray_cc_library( srcs = ["source_location.cc"], hdrs = ["source_location.h"], ) + +ray_cc_library( + name = "gcs_callbacks", + hdrs = ["gcs_callbacks.h"], + deps = [ + "//src/ray/common:status", + ], +) diff --git a/src/ray/gcs/callback.h b/src/ray/common/gcs_callbacks.h similarity index 81% rename from src/ray/gcs/callback.h rename to src/ray/common/gcs_callbacks.h index 5d00d80805d4..1d5da52fec9b 100644 --- a/src/ray/gcs/callback.h +++ b/src/ray/common/gcs_callbacks.h @@ -17,16 +17,11 @@ #include #include -#include "absl/container/flat_hash_map.h" #include "ray/common/status.h" namespace ray { - namespace gcs { -/// This callback is used to notify when a operation completes. -using EmptyCallback = std::function; - /// This callback is used to notify when a write/subscribe to GCS completes. /// \param status Status indicates whether the write/subscribe was successful. using StatusCallback = std::function; @@ -35,7 +30,6 @@ using StatusCallback = std::function; /// \param status Status indicates whether the read was successful. /// \param result The item returned by GCS. If the item to read doesn't exist, /// this optional object is empty. -/// TODO(ryw): make an Either union type to avoid the optional. template using OptionalItemCallback = std::function result)>; @@ -57,11 +51,5 @@ using SubscribeCallback = std::function; template using ItemCallback = std::function; -/// This callback is used to receive multiple key-value items from GCS. -/// \param result The key-value items returned by GCS. -template -using MapCallback = std::function &&result)>; - } // namespace gcs - } // namespace ray diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index eaaae3219fdd..fc039b56ae85 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -14,11 +14,3 @@ ray_cc_library( "//src/ray/util:time", ], ) - -ray_cc_library( - name = "gcs_callback", - hdrs = ["callback.h"], - deps = [ - "//src/ray/common:status", - ], -) diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs/gcs_client/accessor.h index 0545fb2268da..973ca76e8824 100644 --- a/src/ray/gcs/gcs_client/accessor.h +++ b/src/ray/gcs/gcs_client/accessor.h @@ -20,11 +20,11 @@ #include #include "absl/types/optional.h" +#include "ray/common/gcs_callbacks.h" #include "ray/common/id.h" #include "ray/common/placement_group.h" #include "ray/common/status_or.h" #include "ray/common/task/task_spec.h" -#include "ray/gcs/callback.h" #include "ray/rpc/client_call.h" #include "ray/util/sequencer.h" #include "src/ray/protobuf/autoscaler.pb.h" diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 2e49691bc518..b11f99a222ed 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -18,7 +18,6 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/gcs:gcs_callback", "//src/ray/gcs/store_client", "//src/ray/protobuf:gcs_cc_proto", "@com_google_absl//absl/container:flat_hash_map", @@ -34,7 +33,6 @@ ray_cc_library( ":gcs_table_storage", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs:gcs_callback", "//src/ray/protobuf:gcs_cc_proto", "@com_google_absl//absl/container:flat_hash_map", ], diff --git a/src/ray/gcs/gcs_server/gcs_init_data.h b/src/ray/gcs/gcs_server/gcs_init_data.h index f6627499cbfd..d5c2c24c8f2c 100644 --- a/src/ray/gcs/gcs_server/gcs_init_data.h +++ b/src/ray/gcs/gcs_server/gcs_init_data.h @@ -17,7 +17,6 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/postable.h" #include "ray/common/id.h" -#include "ray/gcs/callback.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.cc b/src/ray/gcs/gcs_server/gcs_table_storage.cc index 83847884a199..203e8c0e4848 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.cc +++ b/src/ray/gcs/gcs_server/gcs_table_storage.cc @@ -22,7 +22,6 @@ #include "ray/common/asio/postable.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs/callback.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel index 5c61f477186a..5512c0ad67a4 100644 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ b/src/ray/gcs/pubsub/BUILD.bazel @@ -5,8 +5,8 @@ ray_cc_library( srcs = ["gcs_pub_sub.cc"], hdrs = ["gcs_pub_sub.h"], deps = [ + "//src/ray/common:gcs_callbacks", "//src/ray/common:ray_config", - "//src/ray/gcs:gcs_callback", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:gcs_client", diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h index abc40f733bbc..d6da94965247 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ b/src/ray/gcs/pubsub/gcs_pub_sub.h @@ -21,7 +21,7 @@ #include #include "absl/synchronization/mutex.h" -#include "ray/gcs/callback.h" +#include "ray/common/gcs_callbacks.h" #include "ray/pubsub/publisher_interface.h" #include "ray/pubsub/subscriber_interface.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/store_client/BUILD.bazel b/src/ray/gcs/store_client/BUILD.bazel index 4a2af91411b8..dbf318a7ba6c 100644 --- a/src/ray/gcs/store_client/BUILD.bazel +++ b/src/ray/gcs/store_client/BUILD.bazel @@ -5,9 +5,9 @@ ray_cc_library( hdrs = ["store_client.h"], deps = [ "//src/ray/common:asio", + "//src/ray/common:gcs_callbacks", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/gcs:gcs_callback", ], ) @@ -29,7 +29,6 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/gcs:gcs_callback", "//src/ray/stats:stats_lib", "//src/ray/util:container_util", "//src/ray/util:exponential_backoff", @@ -47,7 +46,6 @@ ray_cc_library( deps = [ ":store_client", "//src/ray/common:asio", - "//src/ray/gcs:gcs_callback", "//src/ray/util:concurrent_flat_map", "@com_google_absl//absl/container:node_hash_map", ], @@ -59,6 +57,5 @@ ray_cc_library( hdrs = ["observable_store_client.h"], deps = [ ":store_client", - "//src/ray/gcs:gcs_callback", ], ) diff --git a/src/ray/gcs/store_client/store_client.h b/src/ray/gcs/store_client/store_client.h index e2f6a75fb9fc..f9c78b0057af 100644 --- a/src/ray/gcs/store_client/store_client.h +++ b/src/ray/gcs/store_client/store_client.h @@ -20,9 +20,9 @@ #include "ray/common/asio/io_service_pool.h" #include "ray/common/asio/postable.h" +#include "ray/common/gcs_callbacks.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs/callback.h" namespace ray { From ec2ea73754ad1c3e003ee4727d55b57c380b1145 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 2 Sep 2025 12:06:56 -0500 Subject: [PATCH 0972/1566] [core] Remove `gcs_test_utils_lib` (#56162) Used by GCS client & server tests and some other components. Moving the utils to `test_utils.cc`. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 10 +- src/ray/common/test_util.cc | 193 ------ src/ray/common/test_util.h | 116 ---- src/ray/common/test_utils.cc | 594 ++++++++++++++++++ src/ray/common/test_utils.h | 232 +++++++ .../task_execution/tests/BUILD.bazel | 6 +- .../tests/concurrency_group_manager_test.cc | 2 +- .../tests/scheduling_queue_test.cc | 2 +- .../tests/task_receiver_test.cc | 2 +- .../task_submission/tests/BUILD.bazel | 6 +- .../tests/actor_task_submitter_test.cc | 2 +- .../tests/dependency_resolver_test.cc | 2 +- .../tests/normal_task_submitter_test.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 18 +- .../core_worker/tests/actor_creator_test.cc | 2 +- .../core_worker/tests/actor_manager_test.cc | 2 +- .../core_worker/tests/memory_store_test.cc | 2 +- .../tests/object_recovery_manager_test.cc | 2 +- .../task_event_buffer_export_event_test.cc | 2 +- .../tests/task_event_buffer_test.cc | 2 +- .../core_worker/tests/task_manager_test.cc | 2 +- src/ray/gcs/gcs_client/tests/BUILD.bazel | 8 +- .../tests/gcs_client_reconnection_test.cc | 2 +- .../gcs/gcs_client/tests/gcs_client_test.cc | 50 +- .../tests/global_state_accessor_test.cc | 29 +- src/ray/gcs/gcs_server/tests/BUILD.bazel | 43 +- .../gcs_actor_manager_export_event_test.cc | 11 +- .../gcs_job_manager_export_event_test.cc | 12 +- .../gcs_node_manager_export_event_test.cc | 11 +- .../tests/gcs_actor_manager_test.cc | 118 ++-- .../tests/gcs_actor_scheduler_mock_test.cc | 2 +- .../tests/gcs_actor_scheduler_test.cc | 68 +- .../gcs_autoscaler_state_manager_test.cc | 237 ++++--- .../gcs_server/tests/gcs_job_manager_test.cc | 35 +- .../gcs_server/tests/gcs_kv_manager_test.cc | 2 +- .../gcs_server/tests/gcs_node_manager_test.cc | 8 +- .../gcs_placement_group_manager_mock_test.cc | 14 +- .../tests/gcs_placement_group_manager_test.cc | 70 +-- .../gcs_placement_group_scheduler_test.cc | 167 +++-- .../tests/gcs_resource_manager_test.cc | 16 +- .../gcs_server/tests/gcs_server_rpc_test.cc | 24 +- .../gcs_server/tests/gcs_server_test_util.h | 2 +- .../tests/gcs_table_storage_test_base.h | 13 +- .../gcs_server/tests/gcs_task_manager_test.cc | 65 +- .../tests/gcs_worker_manager_test.cc | 2 +- .../tests/in_memory_gcs_table_storage_test.cc | 2 +- .../tests/redis_gcs_table_storage_test.cc | 2 +- src/ray/gcs/store_client/tests/BUILD.bazel | 4 +- .../tests/redis_async_context_test.cc | 2 +- .../tests/redis_store_client_test.cc | 2 +- .../tests/store_client_test_base.h | 2 +- src/ray/gcs/tests/BUILD.bazel | 14 - src/ray/gcs/tests/gcs_test_util.h | 483 -------------- src/ray/raylet/scheduling/tests/BUILD.bazel | 4 +- .../tests/cluster_lease_manager_test.cc | 2 +- .../tests/cluster_resource_scheduler_test.cc | 2 +- src/ray/raylet/tests/BUILD.bazel | 5 +- .../tests/lease_dependency_manager_test.cc | 2 +- .../raylet/tests/local_lease_manager_test.cc | 2 +- .../placement_group_resource_manager_test.cc | 74 ++- 60 files changed, 1422 insertions(+), 1390 deletions(-) delete mode 100644 src/ray/common/test_util.cc delete mode 100644 src/ray/common/test_util.h create mode 100644 src/ray/common/test_utils.cc create mode 100644 src/ray/common/test_utils.h delete mode 100644 src/ray/gcs/tests/BUILD.bazel delete mode 100644 src/ray/gcs/tests/gcs_test_util.h diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 9a2434e20b78..9abdd7832b6a 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -11,14 +11,18 @@ ray_cc_library( ) ray_cc_library( - name = "test_util", - srcs = ["test_util.cc"], - hdrs = ["test_util.h"], + name = "test_utils", + srcs = ["test_utils.cc"], + hdrs = ["test_utils.h"], deps = [ ":asio", ":id", ":ray_object", + ":task_common", + "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:common_cc_proto", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/util:cmd_line_utils", "//src/ray/util:network_util", "//src/ray/util:path_utils", diff --git a/src/ray/common/test_util.cc b/src/ray/common/test_util.cc deleted file mode 100644 index 0fed9ae8dc5e..000000000000 --- a/src/ray/common/test_util.cc +++ /dev/null @@ -1,193 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/test_util.h" - -#include -#include - -#include "absl/strings/escaping.h" -#include "ray/common/buffer.h" -#include "ray/common/ray_config.h" -#include "ray/common/ray_object.h" -#include "ray/common/test_util.h" -#include "ray/util/cmd_line_utils.h" -#include "ray/util/filesystem.h" -#include "ray/util/logging.h" -#include "ray/util/network_util.h" -#include "ray/util/path_utils.h" -#include "ray/util/process.h" -#include "ray/util/time.h" - -namespace ray { - -void TestSetupUtil::StartUpRedisServers(const std::vector &redis_server_ports, - bool save) { - if (redis_server_ports.empty()) { - TEST_REDIS_SERVER_PORTS.push_back(StartUpRedisServer(0, save)); - } else { - for (const auto &port : redis_server_ports) { - TEST_REDIS_SERVER_PORTS.push_back(StartUpRedisServer(port, save)); - } - } -} - -// start a redis server with specified port, use random one when 0 given -int TestSetupUtil::StartUpRedisServer(int port, bool save) { - int actual_port = port; - if (port == 0) { - static std::atomic srand_called(false); - if (!srand_called.exchange(true)) { - srand(current_time_ms() % RAND_MAX); - } - // Use random port (in range [2000, 7000) to avoid port conflicts between UTs. - do { - actual_port = rand() % 5000 + 2000; - } while (!CheckPortFree(actual_port)); - } - - std::string program = TEST_REDIS_SERVER_EXEC_PATH; -#ifdef _WIN32 - std::vector cmdargs({program, "--loglevel", "warning"}); -#else - std::vector cmdargs; - if (!save) { - cmdargs = {program, "--loglevel", "warning", "--save", "", "--appendonly", "no"}; - } else { - cmdargs = {program, "--loglevel", "warning"}; - } -#endif - cmdargs.insert(cmdargs.end(), {"--port", std::to_string(actual_port)}); - RAY_LOG(INFO) << "Start redis command is: " << CreateCommandLine(cmdargs); - RAY_CHECK(!Process::Spawn(cmdargs, true).second); - std::this_thread::sleep_for(std::chrono::milliseconds(200)); - return actual_port; -} - -void TestSetupUtil::ShutDownRedisServers() { - for (const auto &port : TEST_REDIS_SERVER_PORTS) { - ShutDownRedisServer(port); - } - TEST_REDIS_SERVER_PORTS = std::vector(); -} - -void TestSetupUtil::ShutDownRedisServer(int port) { - std::vector cmdargs( - {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port), "shutdown"}); - RAY_LOG(INFO) << "Stop redis command is: " << CreateCommandLine(cmdargs); - if (Process::Call(cmdargs) != std::error_code()) { - RAY_LOG(WARNING) << "Failed to stop redis. The redis process may no longer exist."; - } - std::this_thread::sleep_for(std::chrono::milliseconds(100)); -} - -void TestSetupUtil::FlushAllRedisServers() { - for (const auto &port : TEST_REDIS_SERVER_PORTS) { - FlushRedisServer(port); - } -} - -void TestSetupUtil::ExecuteRedisCmd(int port, std::vector cmd) { - std::vector cmdargs( - {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port)}); - cmdargs.insert(cmdargs.end(), cmd.begin(), cmd.end()); - RAY_LOG(INFO) << "Send command to redis: " << CreateCommandLine(cmdargs); - if (Process::Call(cmdargs)) { - RAY_LOG(WARNING) << "Failed to send request to redis."; - } -} - -void TestSetupUtil::FlushRedisServer(int port) { - std::vector cmdargs( - {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port), "flushall"}); - RAY_LOG(INFO) << "Cleaning up redis with command: " << CreateCommandLine(cmdargs); - if (Process::Call(cmdargs)) { - RAY_LOG(WARNING) << "Failed to flush redis. The redis process may no longer exist."; - } - std::this_thread::sleep_for(std::chrono::milliseconds(100)); -} - -bool WaitReady(std::future future, const std::chrono::milliseconds &timeout_ms) { - auto status = future.wait_for(timeout_ms); - return status == std::future_status::ready && future.get(); -} - -bool WaitForCondition(std::function condition, int timeout_ms) { - int wait_time = 0; - while (true) { - if (condition()) { - return true; - } - - // sleep 10ms. - const int wait_interval_ms = 10; - std::this_thread::sleep_for(std::chrono::milliseconds(wait_interval_ms)); - wait_time += wait_interval_ms; - if (wait_time > timeout_ms) { - break; - } - } - return false; -} - -void WaitForExpectedCount(std::atomic ¤t_count, - int expected_count, - int timeout_ms) { - auto condition = [¤t_count, expected_count]() { - return current_count == expected_count; - }; - EXPECT_TRUE(WaitForCondition(condition, timeout_ms)); -} - -TaskID RandomTaskId() { - std::string data(TaskID::Size(), 0); - FillRandom(&data); - return TaskID::FromBinary(data); -} - -JobID RandomJobId() { - std::string data(JobID::Size(), 0); - FillRandom(&data); - return JobID::FromBinary(data); -} - -std::shared_ptr GenerateRandomBuffer() { - auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count(); - std::mt19937 gen(seed); - std::uniform_int_distribution<> dis(1, 10); - std::uniform_int_distribution<> value_dis(1, 255); - - std::vector arg1(dis(gen), value_dis(gen)); - return std::make_shared(arg1.data(), arg1.size(), true); -} - -std::shared_ptr GenerateRandomObject( - const std::vector &inlined_ids) { - std::vector refs; - for (const auto &inlined_id : inlined_ids) { - rpc::ObjectReference ref; - ref.set_object_id(inlined_id.Binary()); - refs.push_back(ref); - } - return std::make_shared(GenerateRandomBuffer(), nullptr, refs); -} - -/// Path to redis server executable binary. -std::string TEST_REDIS_SERVER_EXEC_PATH; -/// Path to redis client executable binary. -std::string TEST_REDIS_CLIENT_EXEC_PATH; -/// Ports of redis server. -std::vector TEST_REDIS_SERVER_PORTS; - -} // namespace ray diff --git a/src/ray/common/test_util.h b/src/ray/common/test_util.h deleted file mode 100644 index cdb9ae4dfc88..000000000000 --- a/src/ray/common/test_util.h +++ /dev/null @@ -1,116 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include - -#include "gtest/gtest.h" -#include "ray/common/asio/asio_util.h" -#include "ray/common/id.h" -#include "src/ray/protobuf/common.pb.h" -namespace ray { - -static inline std::vector ObjectIdsToRefs( - std::vector object_ids) { - std::vector refs; - for (const auto &object_id : object_ids) { - rpc::ObjectReference ref; - ref.set_object_id(object_id.Binary()); - refs.push_back(ref); - } - return refs; -} - -class Buffer; -class RayObject; - -/// Wait until the future is ready, or timeout is reached. -/// -/// \param[in] future The future to wait for. -/// \param[in] timeout_ms Timeout in milliseconds to wait for for. -/// \return Whether the future is ready. -bool WaitReady(std::future future, const std::chrono::milliseconds &timeout_ms); - -/// Wait until the condition is met, or timeout is reached. -/// -/// \param[in] condition The condition to wait for. -/// \param[in] timeout_ms Timeout in milliseconds to wait for for. -/// \return Whether the condition is met. -bool WaitForCondition(std::function condition, int timeout_ms); - -/// Wait until the expected count is met, or timeout is reached. -/// -/// \param[in] current_count The current count. -/// \param[in] expected_count The expected count. -/// \param[in] timeout_ms Timeout in milliseconds to wait for for. -/// \return Whether the expected count is met. -void WaitForExpectedCount(std::atomic ¤t_count, - int expected_count, - int timeout_ms = 60000); - -// A helper function to return a random task id. -TaskID RandomTaskId(); - -// A helper function to return a random job id. -JobID RandomJobId(); - -std::shared_ptr GenerateRandomBuffer(); - -std::shared_ptr GenerateRandomObject( - const std::vector &inlined_ids = {}); - -/// Path to redis server executable binary. -extern std::string TEST_REDIS_SERVER_EXEC_PATH; -/// Path to redis client executable binary. -extern std::string TEST_REDIS_CLIENT_EXEC_PATH; -/// Ports of redis server. -extern std::vector TEST_REDIS_SERVER_PORTS; - -//-------------------------------------------------------------------------------- -// COMPONENT MANAGEMENT CLASSES FOR TEST CASES -//-------------------------------------------------------------------------------- -/// Test cases can use it to start/stop/flush redis server(s). -class TestSetupUtil { - public: - static void StartUpRedisServers(const std::vector &redis_server_ports, - bool save = false); - static void ShutDownRedisServers(); - static void FlushAllRedisServers(); - - static void ExecuteRedisCmd(int port, std::vector cmd); - static int StartUpRedisServer(int port, bool save = false); - static void ShutDownRedisServer(int port); - static void FlushRedisServer(int port); -}; - -template -struct SaveArgToUniquePtrAction { - std::unique_ptr *pointer; - - template - void operator()(const Args &...args) const { - *pointer = std::make_unique(std::get(std::tie(args...))); - } -}; - -// Copies the k-th arg with make_unique(arg) into ptr. -template -SaveArgToUniquePtrAction SaveArgToUniquePtr(std::unique_ptr *ptr) { - return {ptr}; -} - -} // namespace ray diff --git a/src/ray/common/test_utils.cc b/src/ray/common/test_utils.cc new file mode 100644 index 000000000000..31b4530df525 --- /dev/null +++ b/src/ray/common/test_utils.cc @@ -0,0 +1,594 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/test_utils.h" + +#include +#include + +#include "absl/strings/escaping.h" +#include "ray/common/buffer.h" +#include "ray/common/ray_object.h" +#include "ray/common/task/task_util.h" +#include "ray/util/cmd_line_utils.h" +#include "ray/util/filesystem.h" +#include "ray/util/logging.h" +#include "ray/util/network_util.h" +#include "ray/util/path_utils.h" +#include "ray/util/process.h" +#include "ray/util/time.h" + +namespace ray { + +void TestSetupUtil::StartUpRedisServers(const std::vector &redis_server_ports, + bool save) { + if (redis_server_ports.empty()) { + TEST_REDIS_SERVER_PORTS.push_back(StartUpRedisServer(0, save)); + } else { + for (const auto &port : redis_server_ports) { + TEST_REDIS_SERVER_PORTS.push_back(StartUpRedisServer(port, save)); + } + } +} + +// start a redis server with specified port, use random one when 0 given +int TestSetupUtil::StartUpRedisServer(int port, bool save) { + int actual_port = port; + if (port == 0) { + static std::atomic srand_called(false); + if (!srand_called.exchange(true)) { + srand(current_time_ms() % RAND_MAX); + } + // Use random port (in range [2000, 7000) to avoid port conflicts between UTs. + do { + actual_port = rand() % 5000 + 2000; + } while (!CheckPortFree(actual_port)); + } + + std::string program = TEST_REDIS_SERVER_EXEC_PATH; +#ifdef _WIN32 + std::vector cmdargs({program, "--loglevel", "warning"}); +#else + std::vector cmdargs; + if (!save) { + cmdargs = {program, "--loglevel", "warning", "--save", "", "--appendonly", "no"}; + } else { + cmdargs = {program, "--loglevel", "warning"}; + } +#endif + cmdargs.insert(cmdargs.end(), {"--port", std::to_string(actual_port)}); + RAY_LOG(INFO) << "Start redis command is: " << CreateCommandLine(cmdargs); + RAY_CHECK(!Process::Spawn(cmdargs, true).second); + std::this_thread::sleep_for(std::chrono::milliseconds(200)); + return actual_port; +} + +void TestSetupUtil::ShutDownRedisServers() { + for (const auto &port : TEST_REDIS_SERVER_PORTS) { + ShutDownRedisServer(port); + } + TEST_REDIS_SERVER_PORTS = std::vector(); +} + +void TestSetupUtil::ShutDownRedisServer(int port) { + std::vector cmdargs( + {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port), "shutdown"}); + RAY_LOG(INFO) << "Stop redis command is: " << CreateCommandLine(cmdargs); + if (Process::Call(cmdargs) != std::error_code()) { + RAY_LOG(WARNING) << "Failed to stop redis. The redis process may no longer exist."; + } + std::this_thread::sleep_for(std::chrono::milliseconds(100)); +} + +void TestSetupUtil::FlushAllRedisServers() { + for (const auto &port : TEST_REDIS_SERVER_PORTS) { + FlushRedisServer(port); + } +} + +void TestSetupUtil::ExecuteRedisCmd(int port, std::vector cmd) { + std::vector cmdargs( + {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port)}); + cmdargs.insert(cmdargs.end(), cmd.begin(), cmd.end()); + RAY_LOG(INFO) << "Send command to redis: " << CreateCommandLine(cmdargs); + if (Process::Call(cmdargs)) { + RAY_LOG(WARNING) << "Failed to send request to redis."; + } +} + +void TestSetupUtil::FlushRedisServer(int port) { + std::vector cmdargs( + {TEST_REDIS_CLIENT_EXEC_PATH, "-p", std::to_string(port), "flushall"}); + RAY_LOG(INFO) << "Cleaning up redis with command: " << CreateCommandLine(cmdargs); + if (Process::Call(cmdargs)) { + RAY_LOG(WARNING) << "Failed to flush redis. The redis process may no longer exist."; + } + std::this_thread::sleep_for(std::chrono::milliseconds(100)); +} + +bool WaitReady(std::future future, const std::chrono::milliseconds &timeout_ms) { + auto status = future.wait_for(timeout_ms); + return status == std::future_status::ready && future.get(); +} + +bool WaitForCondition(std::function condition, int timeout_ms) { + int wait_time = 0; + while (true) { + if (condition()) { + return true; + } + + // sleep 10ms. + const int wait_interval_ms = 10; + std::this_thread::sleep_for(std::chrono::milliseconds(wait_interval_ms)); + wait_time += wait_interval_ms; + if (wait_time > timeout_ms) { + break; + } + } + return false; +} + +void WaitForExpectedCount(std::atomic ¤t_count, + int expected_count, + int timeout_ms) { + auto condition = [¤t_count, expected_count]() { + return current_count == expected_count; + }; + EXPECT_TRUE(WaitForCondition(condition, timeout_ms)); +} + +TaskID RandomTaskId() { + std::string data(TaskID::Size(), 0); + FillRandom(&data); + return TaskID::FromBinary(data); +} + +JobID RandomJobId() { + std::string data(JobID::Size(), 0); + FillRandom(&data); + return JobID::FromBinary(data); +} + +std::shared_ptr GenerateRandomBuffer() { + auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count(); + std::mt19937 gen(seed); + std::uniform_int_distribution<> dis(1, 10); + std::uniform_int_distribution<> value_dis(1, 255); + + std::vector arg1(dis(gen), value_dis(gen)); + return std::make_shared(arg1.data(), arg1.size(), true); +} + +std::shared_ptr GenerateRandomObject( + const std::vector &inlined_ids) { + std::vector refs; + for (const auto &inlined_id : inlined_ids) { + rpc::ObjectReference ref; + ref.set_object_id(inlined_id.Binary()); + refs.push_back(ref); + } + return std::make_shared(GenerateRandomBuffer(), nullptr, refs); +} + +TaskSpecification GenActorCreationTask( + const JobID &job_id, + int max_restarts, + bool detached, + const std::string &name, + const std::string &ray_namespace, + const rpc::Address &owner_address, + std::unordered_map required_resources, + std::unordered_map required_placement_resources) { + TaskSpecBuilder builder; + rpc::JobConfig kJobConfig; + auto actor_id = ActorID::Of(job_id, RandomTaskId(), 0); + auto task_id = TaskID::ForActorCreationTask(actor_id); + FunctionDescriptor function_descriptor; + function_descriptor = FunctionDescriptorBuilder::BuildPython("", "", "", ""); + builder.SetCommonTaskSpec(task_id, + name + ":" + function_descriptor->CallString(), + Language::PYTHON, + function_descriptor, + job_id, + kJobConfig, + TaskID::Nil(), + 0, + TaskID::Nil(), + owner_address, + 1, + false, + false, + -1, + required_resources, + required_placement_resources, + "", + 0, + TaskID::Nil(), + ""); + rpc::SchedulingStrategy scheduling_strategy; + scheduling_strategy.mutable_default_scheduling_strategy(); + builder.SetActorCreationTaskSpec(actor_id, + {}, + scheduling_strategy, + max_restarts, + /*max_task_retries=*/0, + {}, + 1, + detached, + name, + ray_namespace); + return std::move(builder).ConsumeAndBuild(); +} + +rpc::CreateActorRequest GenCreateActorRequest(const JobID &job_id, + int max_restarts, + bool detached, + const std::string &name, + const std::string &ray_namespace) { + rpc::Address owner_address; + owner_address.set_node_id(NodeID::FromRandom().Binary()); + owner_address.set_ip_address("1234"); + owner_address.set_port(5678); + owner_address.set_worker_id(WorkerID::FromRandom().Binary()); + auto actor_creation_task_spec = GenActorCreationTask( + job_id, max_restarts, detached, name, ray_namespace, owner_address); + rpc::CreateActorRequest request; + request.mutable_task_spec()->CopyFrom(actor_creation_task_spec.GetMessage()); + return request; +} + +rpc::RegisterActorRequest GenRegisterActorRequest(const JobID &job_id, + int max_restarts, + bool detached, + const std::string &name, + const std::string &ray_namespace) { + rpc::Address owner_address; + owner_address.set_node_id(NodeID::FromRandom().Binary()); + owner_address.set_ip_address("1234"); + owner_address.set_port(5678); + owner_address.set_worker_id(WorkerID::FromRandom().Binary()); + auto actor_creation_task_spec = GenActorCreationTask( + job_id, max_restarts, detached, name, ray_namespace, owner_address); + rpc::RegisterActorRequest request; + request.mutable_task_spec()->CopyFrom(actor_creation_task_spec.GetMessage()); + return request; +} + +PlacementGroupSpecification GenPlacementGroupCreation( + const std::string &name, + std::vector> &bundles, + rpc::PlacementStrategy strategy, + const JobID &job_id, + const ActorID &actor_id) { + PlacementGroupSpecBuilder builder; + + auto placement_group_id = PlacementGroupID::Of(job_id); + builder.SetPlacementGroupSpec(placement_group_id, + name, + bundles, + strategy, + /* is_detached */ false, + /* soft_target_node_id */ NodeID::Nil(), + job_id, + actor_id, + /* is_creator_detached */ false); + return builder.Build(); +} + +rpc::CreatePlacementGroupRequest GenCreatePlacementGroupRequest( + const std::string name, + rpc::PlacementStrategy strategy, + int bundles_count, + double cpu_num, + const JobID job_id, + const ActorID &actor_id) { + rpc::CreatePlacementGroupRequest request; + std::vector> bundles; + std::unordered_map bundle; + bundle["CPU"] = cpu_num; + for (int index = 0; index < bundles_count; ++index) { + bundles.push_back(bundle); + } + auto placement_group_creation_spec = + GenPlacementGroupCreation(name, bundles, strategy, job_id, actor_id); + request.mutable_placement_group_spec()->CopyFrom( + placement_group_creation_spec.GetMessage()); + return request; +} +std::shared_ptr GenNodeInfo(uint16_t port, + const std::string address, + const std::string node_name) { + auto node = std::make_shared(); + node->set_node_id(NodeID::FromRandom().Binary()); + node->set_node_manager_port(port); + node->set_node_manager_address(address); + node->set_node_name(node_name); + node->set_instance_id("instance_x"); + node->set_state(rpc::GcsNodeInfo::ALIVE); + return node; +} + +std::shared_ptr GenJobTableData(JobID job_id) { + auto job_table_data = std::make_shared(); + job_table_data->set_job_id(job_id.Binary()); + job_table_data->set_is_dead(false); + job_table_data->set_timestamp(current_sys_time_ms()); + job_table_data->set_driver_ip_address("127.0.0.1"); + rpc::Address address; + address.set_ip_address("127.0.0.1"); + address.set_port(1234); + address.set_node_id(UniqueID::FromRandom().Binary()); + address.set_worker_id(UniqueID::FromRandom().Binary()); + job_table_data->mutable_driver_address()->CopyFrom(address); + job_table_data->set_driver_pid(5667L); + return job_table_data; +} + +std::shared_ptr GenActorTableData(const JobID &job_id) { + auto actor_table_data = std::make_shared(); + ActorID actor_id = ActorID::Of(job_id, RandomTaskId(), 0); + actor_table_data->set_actor_id(actor_id.Binary()); + actor_table_data->set_job_id(job_id.Binary()); + actor_table_data->set_state(rpc::ActorTableData::ALIVE); + actor_table_data->set_max_restarts(1); + actor_table_data->set_num_restarts(0); + return actor_table_data; +} + +std::shared_ptr GenErrorTableData(const JobID &job_id) { + auto error_table_data = std::make_shared(); + error_table_data->set_job_id(job_id.Binary()); + return error_table_data; +} + +std::shared_ptr GenWorkerTableData() { + auto worker_table_data = std::make_shared(); + worker_table_data->set_timestamp(std::time(nullptr)); + return worker_table_data; +} + +std::shared_ptr GenAddJobRequest( + const JobID &job_id, + const std::string &ray_namespace, + const std::optional &submission_id, + const std::optional &address) { + auto job_config_data = std::make_shared(); + job_config_data->set_ray_namespace(ray_namespace); + + auto job_table_data = std::make_shared(); + job_table_data->set_job_id(job_id.Binary()); + job_table_data->mutable_config()->CopyFrom(*job_config_data); + if (address.has_value()) { + job_table_data->mutable_driver_address()->CopyFrom(address.value()); + } else { + rpc::Address dummy_address; + dummy_address.set_port(1234); + dummy_address.set_node_id(NodeID::FromRandom().Binary()); + dummy_address.set_ip_address("123.456.7.8"); + dummy_address.set_worker_id(WorkerID::FromRandom().Binary()); + job_table_data->mutable_driver_address()->CopyFrom(dummy_address); + } + if (submission_id.has_value()) { + job_table_data->mutable_config()->mutable_metadata()->insert( + {"job_submission_id", submission_id.value()}); + } + + auto add_job_request = std::make_shared(); + add_job_request->mutable_data()->CopyFrom(*job_table_data); + return add_job_request; +} + +rpc::TaskEventData GenTaskEventsData(const std::vector &task_events, + int32_t num_profile_task_events_dropped, + int32_t num_status_task_events_dropped) { + rpc::TaskEventData data; + for (auto &events : task_events) { + auto new_events = data.add_events_by_task(); + new_events->CopyFrom(events); + } + + for (int i = 0; i < num_status_task_events_dropped; ++i) { + rpc::TaskAttempt rpc_task_attempt; + rpc_task_attempt.set_task_id(RandomTaskId().Binary()); + rpc_task_attempt.set_attempt_number(0); + *(data.add_dropped_task_attempts()) = rpc_task_attempt; + } + + data.set_num_profile_events_dropped(num_profile_task_events_dropped); + data.set_job_id(JobID::FromInt(0).Binary()); + + return data; +} + +rpc::events::RayEventsData GenRayEventsData( + const std::vector &task_events, + const std::vector &drop_tasks) { + rpc::events::RayEventsData data; + rpc::events::TaskEventsMetadata metadata; + for (const auto &task_attempt : drop_tasks) { + rpc::TaskAttempt rpc_task_attempt; + rpc_task_attempt.set_task_id(task_attempt.first.Binary()); + rpc_task_attempt.set_attempt_number(task_attempt.second); + *(metadata.add_dropped_task_attempts()) = rpc_task_attempt; + } + data.mutable_task_events_metadata()->CopyFrom(metadata); + for (const auto &task_event : task_events) { + rpc::events::RayEvent ray_event; + rpc::events::TaskDefinitionEvent task_definition_event; + task_definition_event.set_task_id(task_event.task_id()); + task_definition_event.set_task_attempt(task_event.attempt_number()); + task_definition_event.set_job_id(task_event.job_id()); + if (task_event.has_task_info()) { + const auto &task_info = task_event.task_info(); + task_definition_event.set_task_type(task_info.type()); + task_definition_event.set_task_name(task_info.name()); + task_definition_event.set_language(task_info.language()); + } + ray_event.set_event_id(task_event.task_id()); + ray_event.set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); + ray_event.set_message("test"); + ray_event.mutable_task_definition_event()->CopyFrom(task_definition_event); + *(data.add_events()) = ray_event; + } + + return data; +} + +rpc::TaskEventData GenTaskEventsDataLoss(const std::vector &drop_tasks, + int job_id) { + rpc::TaskEventData data; + for (const auto &task_attempt : drop_tasks) { + rpc::TaskAttempt rpc_task_attempt; + rpc_task_attempt.set_task_id(task_attempt.first.Binary()); + rpc_task_attempt.set_attempt_number(task_attempt.second); + *(data.add_dropped_task_attempts()) = rpc_task_attempt; + } + data.set_job_id(JobID::FromInt(job_id).Binary()); + + return data; +} + +rpc::ResourceDemand GenResourceDemand( + const absl::flat_hash_map &resource_demands, + int64_t num_ready_queued, + int64_t num_infeasible, + int64_t num_backlog, + const std::vector &label_selectors) { + rpc::ResourceDemand resource_demand; + for (const auto &resource : resource_demands) { + (*resource_demand.mutable_shape())[resource.first] = resource.second; + } + resource_demand.set_num_ready_requests_queued(num_ready_queued); + resource_demand.set_num_infeasible_requests_queued(num_infeasible); + resource_demand.set_backlog_size(num_backlog); + for (const auto &selector : label_selectors) { + *resource_demand.add_label_selectors() = selector; + } + return resource_demand; +} + +void FillResourcesData( + rpc::ResourcesData &resources_data, + const NodeID &node_id, + const absl::flat_hash_map &available_resources, + const absl::flat_hash_map &total_resources, + int64_t idle_ms, + bool is_draining, + int64_t draining_deadline_timestamp_ms) { + resources_data.set_node_id(node_id.Binary()); + for (const auto &resource : available_resources) { + (*resources_data.mutable_resources_available())[resource.first] = resource.second; + } + for (const auto &resource : total_resources) { + (*resources_data.mutable_resources_total())[resource.first] = resource.second; + } + resources_data.set_idle_duration_ms(idle_ms); + resources_data.set_is_draining(is_draining); + resources_data.set_draining_deadline_timestamp_ms(draining_deadline_timestamp_ms); +} + +void FillResourcesData(rpc::ResourcesData &data, + const std::string &node_id, + std::vector demands) { + auto load_by_shape = data.mutable_resource_load_by_shape(); + auto agg_load = data.mutable_resource_load(); + for (const auto &demand : demands) { + load_by_shape->add_resource_demands()->CopyFrom(demand); + for (const auto &resource : demand.shape()) { + (*agg_load)[resource.first] += + (resource.second * (demand.num_ready_requests_queued() + + demand.num_infeasible_requests_queued())); + } + } + data.set_node_id(node_id); +} + +std::shared_ptr GenPlacementGroupLoad( + std::vector placement_group_table_data_vec) { + auto placement_group_load = std::make_shared(); + for (auto &placement_group_table_data : placement_group_table_data_vec) { + placement_group_load->add_placement_group_data()->CopyFrom( + placement_group_table_data); + } + return placement_group_load; +} + +rpc::PlacementGroupTableData GenPlacementGroupTableData( + const PlacementGroupID &placement_group_id, + const JobID &job_id, + const std::vector> &bundles, + const std::vector &nodes, + rpc::PlacementStrategy strategy, + const rpc::PlacementGroupTableData::PlacementGroupState state, + const std::string &name, + const ActorID &actor_id) { + rpc::PlacementGroupTableData placement_group_table_data; + placement_group_table_data.set_placement_group_id(placement_group_id.Binary()); + placement_group_table_data.set_state(state); + placement_group_table_data.set_name(name); + placement_group_table_data.set_strategy(strategy); + RAY_CHECK(bundles.size() == nodes.size()); + size_t i = 0; + for (auto &bundle : bundles) { + // Add unit resources + auto bundle_spec = placement_group_table_data.add_bundles(); + for (auto &resource : bundle) { + (*bundle_spec->mutable_unit_resources())[resource.first] = resource.second; + } + + // Add node id + const auto &node = nodes[i]; + if (!node.empty()) { + bundle_spec->set_node_id(node); + } + + i++; + } + return placement_group_table_data; +} +rpc::autoscaler::ClusterResourceConstraint GenClusterResourcesConstraint( + const std::vector> &request_resources, + const std::vector &count_array) { + rpc::autoscaler::ClusterResourceConstraint constraint; + RAY_CHECK(request_resources.size() == count_array.size()); + for (size_t i = 0; i < request_resources.size(); i++) { + auto &resource = request_resources[i]; + auto count = count_array[i]; + auto bundle = constraint.add_resource_requests(); + bundle->set_count(count); + bundle->mutable_request()->mutable_resources_bundle()->insert(resource.begin(), + resource.end()); + } + return constraint; +} +// Read all lines of a file into vector vc +void ReadContentFromFile(std::vector &vc, std::string log_file) { + std::string line; + std::ifstream read_file; + read_file.open(log_file, std::ios::binary); + while (std::getline(read_file, line)) { + vc.push_back(line); + } + read_file.close(); +} + +/// Path to redis server executable binary. +std::string TEST_REDIS_SERVER_EXEC_PATH; +/// Path to redis client executable binary. +std::string TEST_REDIS_CLIENT_EXEC_PATH; +/// Ports of redis server. +std::vector TEST_REDIS_SERVER_PORTS; + +} // namespace ray diff --git a/src/ray/common/test_utils.h b/src/ray/common/test_utils.h new file mode 100644 index 000000000000..70be73269c9c --- /dev/null +++ b/src/ray/common/test_utils.h @@ -0,0 +1,232 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/asio/asio_util.h" +#include "ray/common/id.h" +#include "ray/common/placement_group.h" +#include "ray/common/task/task_spec.h" +#include "src/ray/protobuf/autoscaler.pb.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/gcs_service.grpc.pb.h" + +namespace ray { + +static inline std::vector ObjectIdsToRefs( + std::vector object_ids) { + std::vector refs; + for (const auto &object_id : object_ids) { + rpc::ObjectReference ref; + ref.set_object_id(object_id.Binary()); + refs.push_back(ref); + } + return refs; +} + +class Buffer; +class RayObject; + +/// Wait until the future is ready, or timeout is reached. +/// +/// \param[in] future The future to wait for. +/// \param[in] timeout_ms Timeout in milliseconds to wait for for. +/// \return Whether the future is ready. +bool WaitReady(std::future future, const std::chrono::milliseconds &timeout_ms); + +/// Wait until the condition is met, or timeout is reached. +/// +/// \param[in] condition The condition to wait for. +/// \param[in] timeout_ms Timeout in milliseconds to wait for for. +/// \return Whether the condition is met. +bool WaitForCondition(std::function condition, int timeout_ms); + +/// Wait until the expected count is met, or timeout is reached. +/// +/// \param[in] current_count The current count. +/// \param[in] expected_count The expected count. +/// \param[in] timeout_ms Timeout in milliseconds to wait for for. +/// \return Whether the expected count is met. +void WaitForExpectedCount(std::atomic ¤t_count, + int expected_count, + int timeout_ms = 60000); + +// A helper function to return a random task id. +TaskID RandomTaskId(); + +// A helper function to return a random job id. +JobID RandomJobId(); + +std::shared_ptr GenerateRandomBuffer(); + +std::shared_ptr GenerateRandomObject( + const std::vector &inlined_ids = {}); + +/// Path to redis server executable binary. +extern std::string TEST_REDIS_SERVER_EXEC_PATH; +/// Path to redis client executable binary. +extern std::string TEST_REDIS_CLIENT_EXEC_PATH; +/// Ports of redis server. +extern std::vector TEST_REDIS_SERVER_PORTS; + +//-------------------------------------------------------------------------------- +// COMPONENT MANAGEMENT CLASSES FOR TEST CASES +//-------------------------------------------------------------------------------- +/// Test cases can use it to start/stop/flush redis server(s). +class TestSetupUtil { + public: + static void StartUpRedisServers(const std::vector &redis_server_ports, + bool save = false); + static void ShutDownRedisServers(); + static void FlushAllRedisServers(); + + static void ExecuteRedisCmd(int port, std::vector cmd); + static int StartUpRedisServer(int port, bool save = false); + static void ShutDownRedisServer(int port); + static void FlushRedisServer(int port); +}; + +template +struct SaveArgToUniquePtrAction { + std::unique_ptr *pointer; + + template + void operator()(const Args &...args) const { + *pointer = std::make_unique(std::get(std::tie(args...))); + } +}; + +// Copies the k-th arg with make_unique(arg) into ptr. +template +SaveArgToUniquePtrAction SaveArgToUniquePtr(std::unique_ptr *ptr) { + return {ptr}; +} + +TaskSpecification GenActorCreationTask( + const JobID &job_id, + int max_restarts, + bool detached, + const std::string &name, + const std::string &ray_namespace, + const rpc::Address &owner_address, + std::unordered_map required_resources = + std::unordered_map(), + std::unordered_map required_placement_resources = + std::unordered_map()); + +rpc::CreateActorRequest GenCreateActorRequest(const JobID &job_id, + int max_restarts = 0, + bool detached = false, + const std::string &name = "", + const std::string &ray_namespace = ""); + +rpc::RegisterActorRequest GenRegisterActorRequest( + const JobID &job_id, + int max_restarts = 0, + bool detached = false, + const std::string &name = "", + const std::string &ray_namespace = "test"); + +PlacementGroupSpecification GenPlacementGroupCreation( + const std::string &name, + std::vector> &bundles, + rpc::PlacementStrategy strategy, + const JobID &job_id, + const ActorID &actor_id); + +rpc::CreatePlacementGroupRequest GenCreatePlacementGroupRequest( + const std::string name = "", + rpc::PlacementStrategy strategy = rpc::PlacementStrategy::SPREAD, + int bundles_count = 2, + double cpu_num = 1.0, + const JobID job_id = JobID::FromInt(1), + const ActorID &actor_id = ActorID::Nil()); + +std::shared_ptr GenNodeInfo( + uint16_t port = 0, + const std::string address = "127.0.0.1", + const std::string node_name = "Mocker_node"); + +std::shared_ptr GenJobTableData(JobID job_id); + +std::shared_ptr GenActorTableData(const JobID &job_id); + +std::shared_ptr GenErrorTableData(const JobID &job_id); + +std::shared_ptr GenWorkerTableData(); + +std::shared_ptr GenAddJobRequest( + const JobID &job_id, + const std::string &ray_namespace, + const std::optional &submission_id = std::nullopt, + const std::optional &address = std::nullopt); + +rpc::TaskEventData GenTaskEventsData(const std::vector &task_events, + int32_t num_profile_task_events_dropped = 0, + int32_t num_status_task_events_dropped = 0); + +rpc::events::RayEventsData GenRayEventsData( + const std::vector &task_events, + const std::vector &drop_tasks); + +rpc::TaskEventData GenTaskEventsDataLoss(const std::vector &drop_tasks, + int job_id = 0); + +rpc::ResourceDemand GenResourceDemand( + const absl::flat_hash_map &resource_demands, + int64_t num_ready_queued, + int64_t num_infeasible, + int64_t num_backlog, + const std::vector &label_selectors = {}); + +void FillResourcesData( + rpc::ResourcesData &resources_data, + const NodeID &node_id, + const absl::flat_hash_map &available_resources, + const absl::flat_hash_map &total_resources, + int64_t idle_ms = 0, + bool is_draining = false, + int64_t draining_deadline_timestamp_ms = -1); + +void FillResourcesData(rpc::ResourcesData &data, + const std::string &node_id, + std::vector demands); + +std::shared_ptr GenPlacementGroupLoad( + std::vector placement_group_table_data_vec); + +rpc::PlacementGroupTableData GenPlacementGroupTableData( + const PlacementGroupID &placement_group_id, + const JobID &job_id, + const std::vector> &bundles, + const std::vector &nodes, + rpc::PlacementStrategy strategy, + const rpc::PlacementGroupTableData::PlacementGroupState state, + const std::string &name = "", + const ActorID &actor_id = ActorID::Nil()); + +rpc::autoscaler::ClusterResourceConstraint GenClusterResourcesConstraint( + const std::vector> &request_resources, + const std::vector &count_array); + +// Read all lines of a file into vector vc +void ReadContentFromFile(std::vector &vc, std::string log_file); + +} // namespace ray diff --git a/src/ray/core_worker/task_execution/tests/BUILD.bazel b/src/ray/core_worker/task_execution/tests/BUILD.bazel index 48666ca86ce0..b60f96696bd1 100644 --- a/src/ray/core_worker/task_execution/tests/BUILD.bazel +++ b/src/ray/core_worker/task_execution/tests/BUILD.bazel @@ -29,7 +29,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:asio", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:concurrency_group_manager", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -42,7 +42,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:asio", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:actor_scheduling_queue", "//src/ray/core_worker/task_execution:normal_scheduling_queue", "//src/ray/core_worker/task_execution:out_of_order_actor_scheduling_queue", @@ -58,7 +58,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:asio", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", diff --git a/src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc b/src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc index b12bb8876535..6d3f95030484 100644 --- a/src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc +++ b/src/ray/core_worker/task_execution/tests/concurrency_group_manager_test.cc @@ -19,7 +19,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/task_execution/fiber.h" #include "ray/core_worker/task_execution/thread_pool.h" diff --git a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc index 4eff53179edf..5a779ff091b7 100644 --- a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc +++ b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc @@ -19,7 +19,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/task_execution/actor_scheduling_queue.h" #include "ray/core_worker/task_execution/normal_scheduling_queue.h" #include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" diff --git a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc index 647be3564063..cae330fec4e0 100644 --- a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/task/task_spec.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 517b2fb220f3..0647614c0dd7 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -8,7 +8,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker/task_submission:dependency_resolver", "@com_google_googletest//:gtest", ], @@ -47,7 +47,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", @@ -67,7 +67,7 @@ ray_cc_test( "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/raylet_client:raylet_client_lib", diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 09874520b038..85d058f9007a 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -22,7 +22,7 @@ #include "mock/ray/core_worker/actor_creator.h" #include "mock/ray/core_worker/reference_count.h" #include "mock/ray/core_worker/task_manager_interface.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray::core { diff --git a/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc b/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc index 011a72e99859..21aad49fa165 100644 --- a/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc +++ b/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc @@ -26,7 +26,7 @@ #include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index a42a54991cf5..c9b583fd3e10 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -28,7 +28,7 @@ #include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/raylet_client/raylet_client.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 451bff46d50f..205b16d93ae2 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -32,7 +32,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:status", "//src/ray/common:status_or", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "@com_google_absl//absl/synchronization", "@com_google_googletest//:gtest", @@ -71,7 +71,7 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", @@ -91,7 +91,7 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_event_buffer", @@ -110,7 +110,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:event", @@ -133,7 +133,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:event", @@ -152,7 +152,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:actor_creator", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:path_utils", @@ -169,7 +169,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:common", "//src/ray/core_worker:generator_waiter", "//src/ray/gcs/gcs_client:gcs_client_lib", @@ -186,7 +186,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:actor_manager", "//src/ray/gcs/gcs_client:gcs_client_lib", "@com_google_googletest//:gtest", @@ -246,7 +246,7 @@ ray_cc_test( "//:ray_fakes", "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", diff --git a/src/ray/core_worker/tests/actor_creator_test.cc b/src/ray/core_worker/tests/actor_creator_test.cc index 4bb50d9a6004..7d749d011c47 100644 --- a/src/ray/core_worker/tests/actor_creator_test.cc +++ b/src/ray/core_worker/tests/actor_creator_test.cc @@ -18,7 +18,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/core_worker/actor_creator.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" diff --git a/src/ray/core_worker/tests/actor_manager_test.cc b/src/ray/core_worker/tests/actor_manager_test.cc index 4856e3b6c214..cd5d28bb51d4 100644 --- a/src/ray/core_worker/tests/actor_manager_test.cc +++ b/src/ray/core_worker/tests/actor_manager_test.cc @@ -22,7 +22,7 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/reference_count.h" #include "ray/common/task/task_spec.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" diff --git a/src/ray/core_worker/tests/memory_store_test.cc b/src/ray/core_worker/tests/memory_store_test.cc index 65da14ceec22..fcee0b090698 100644 --- a/src/ray/core_worker/tests/memory_store_test.cc +++ b/src/ray/core_worker/tests/memory_store_test.cc @@ -26,7 +26,7 @@ #include "mock/ray/core_worker/memory_store.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 99024c599bde..db5ad2b37048 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -28,7 +28,7 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/raylet_client/raylet_client.h" diff --git a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc index 9e6345bd9582..066ad5e4c965 100644 --- a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc @@ -28,7 +28,7 @@ #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "ray/common/task/task_spec.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index d117bed1560a..061ccdae97bf 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -34,7 +34,7 @@ #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/util/event.h" using ::testing::_; diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index e2704d4a3cb7..519a6020e9ef 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -27,7 +27,7 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" diff --git a/src/ray/gcs/gcs_client/tests/BUILD.bazel b/src/ray/gcs/gcs_client/tests/BUILD.bazel index 57054315512a..a7b7511a7544 100644 --- a/src/ray/gcs/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_client/tests/BUILD.bazel @@ -8,8 +8,8 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -30,10 +30,10 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -60,9 +60,9 @@ ray_cc_test( "team:core", ], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -87,9 +87,9 @@ ray_cc_test( "team:core", ], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:network_util", "//src/ray/util:path_utils", "//src/ray/util:raii", diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc index 1669031fab25..1167df2f0c53 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc @@ -22,10 +22,10 @@ #include "absl/strings/substitute.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc index ff78ae00d4ab..bc775916d28d 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc @@ -22,9 +22,9 @@ #include "absl/strings/substitute.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" @@ -421,11 +421,11 @@ class GcsClientTest : public ::testing::TestWithParam { INSTANTIATE_TEST_SUITE_P(RedisMigration, GcsClientTest, testing::Bool()); TEST_P(GcsClientTest, TestCheckAlive) { - auto node_info1 = Mocker::GenNodeInfo(); + auto node_info1 = GenNodeInfo(); node_info1->set_node_manager_address("172.1.2.3"); node_info1->set_node_manager_port(31292); - auto node_info2 = Mocker::GenNodeInfo(); + auto node_info2 = GenNodeInfo(); node_info2->set_node_manager_address("172.1.2.4"); node_info2->set_node_manager_port(31293); @@ -458,11 +458,11 @@ TEST_P(GcsClientTest, TestCheckAlive) { } TEST_P(GcsClientTest, TestGcsClientCheckAlive) { - auto node_info1 = Mocker::GenNodeInfo(); + auto node_info1 = GenNodeInfo(); node_info1->set_node_manager_address("172.1.2.3"); node_info1->set_node_manager_port(31292); - auto node_info2 = Mocker::GenNodeInfo(); + auto node_info2 = GenNodeInfo(); node_info2->set_node_manager_address("172.1.2.4"); node_info2->set_node_manager_port(31293); @@ -491,7 +491,7 @@ TEST_P(GcsClientTest, TestGcsClientCheckAlive) { TEST_P(GcsClientTest, TestJobInfo) { // Create job table data. JobID add_job_id = JobID::FromInt(1); - auto job_table_data = Mocker::GenJobTableData(add_job_id); + auto job_table_data = GenJobTableData(add_job_id); // Subscribe to all jobs. std::atomic job_updates(0); @@ -515,7 +515,7 @@ TEST_P(GcsClientTest, TestActorInfo) { // Create actor table data. JobID job_id = JobID::FromInt(1); AddJob(job_id); - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); ActorID actor_id = ActorID::FromBinary(actor_table_data->actor_id()); // Subscribe to any update operations of an actor. @@ -533,7 +533,7 @@ TEST_P(GcsClientTest, TestActorInfo) { TEST_P(GcsClientTest, TestNodeInfo) { // Create gcs node info. - auto gcs_node1_info = Mocker::GenNodeInfo(); + auto gcs_node1_info = GenNodeInfo(); NodeID node1_id = NodeID::FromBinary(gcs_node1_info->node_id()); // Subscribe to node addition and removal events from GCS. @@ -557,7 +557,7 @@ TEST_P(GcsClientTest, TestNodeInfo) { EXPECT_EQ(gcs_client_->Nodes().GetSelfInfo().state(), gcs_node1_info->state()); // Register a node to GCS. - auto gcs_node2_info = Mocker::GenNodeInfo(); + auto gcs_node2_info = GenNodeInfo(); NodeID node2_id = NodeID::FromBinary(gcs_node2_info->node_id()); ASSERT_TRUE(RegisterNode(*gcs_node2_info)); WaitForExpectedCount(register_count, 2); @@ -572,7 +572,7 @@ TEST_P(GcsClientTest, TestNodeInfo) { TEST_P(GcsClientTest, TestUnregisterNode) { // Create gcs node info. - auto gcs_node_info = Mocker::GenNodeInfo(); + auto gcs_node_info = GenNodeInfo(); NodeID node_id = NodeID::FromBinary(gcs_node_info->node_id()); // Register local node to GCS. @@ -601,7 +601,7 @@ TEST_P(GcsClientTest, TestUnregisterNode) { TEST_P(GcsClientTest, TestGetAllAvailableResources) { // Register node. - auto node_info = Mocker::GenNodeInfo(); + auto node_info = GenNodeInfo(); node_info->mutable_resources_total()->insert({"CPU", 1.0}); node_info->mutable_resources_total()->insert({"GPU", 10.0}); @@ -634,7 +634,7 @@ TEST_P(GcsClientTest, TestWorkerInfo) { ASSERT_TRUE(SubscribeToWorkerFailures(on_subscribe)); // Report a worker failure to GCS when this worker doesn't exist. - auto worker_data = Mocker::GenWorkerTableData(); + auto worker_data = GenWorkerTableData(); worker_data->mutable_worker_address()->set_worker_id(WorkerID::FromRandom().Binary()); ASSERT_TRUE(ReportWorkerFailure(worker_data)); WaitForExpectedCount(worker_failure_count, 1); @@ -653,7 +653,7 @@ TEST_P(GcsClientTest, TestJobTableResubscribe) { // Test that subscription of the job table can still work when GCS server restarts. JobID job_id = JobID::FromInt(1); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); // Subscribe to all jobs. std::atomic job_update_count(0); @@ -681,7 +681,7 @@ TEST_P(GcsClientTest, TestActorTableResubscribe) { // Test that subscription of the actor table can still work when GCS server restarts. JobID job_id = JobID::FromInt(1); AddJob(job_id); - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); auto actor_id = ActorID::FromBinary(actor_table_data->actor_id()); // Number of notifications for the following `SubscribeActor` operation. @@ -744,7 +744,7 @@ TEST_P(GcsClientTest, TestNodeTableResubscribe) { }; ASSERT_TRUE(SubscribeToNodeChange(node_subscribe)); - auto node_info = Mocker::GenNodeInfo(1); + auto node_info = GenNodeInfo(1); ASSERT_TRUE(RegisterNode(*node_info)); NodeID node_id = NodeID::FromBinary(node_info->node_id()); std::string key = "CPU"; @@ -753,7 +753,7 @@ TEST_P(GcsClientTest, TestNodeTableResubscribe) { RestartGcsServer(); - node_info = Mocker::GenNodeInfo(1); + node_info = GenNodeInfo(1); ASSERT_TRUE(RegisterNode(*node_info)); node_id = NodeID::FromBinary(node_info->node_id()); gcs_server_->UpdateGcsResourceManagerInTest(node_id, resources); @@ -776,7 +776,7 @@ TEST_P(GcsClientTest, TestWorkerTableResubscribe) { RestartGcsServer(); // Add a worker before report worker failure to GCS. - auto worker_data = Mocker::GenWorkerTableData(); + auto worker_data = GenWorkerTableData(); worker_data->mutable_worker_address()->set_worker_id(WorkerID::FromRandom().Binary()); ASSERT_TRUE(AddWorker(worker_data)); @@ -791,7 +791,7 @@ TEST_P(GcsClientTest, TestGcsTableReload) { return; } // Register node to GCS. - auto node_info = Mocker::GenNodeInfo(); + auto node_info = GenNodeInfo(); ASSERT_TRUE(RegisterNode(*node_info)); // Restart GCS. @@ -858,7 +858,7 @@ TEST_P(GcsClientTest, DISABLED_TestGetActorPerf) { task_spec.add_args()->CopyFrom(task_arg); } for (int index = 0; index < actor_count; ++index) { - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); RegisterActor(actor_table_data, false, true); } @@ -885,7 +885,7 @@ TEST_P(GcsClientTest, TestEvictExpiredDestroyedActors) { absl::flat_hash_set actor_ids; int actor_count = RayConfig::instance().maximum_gcs_destroyed_actor_cached_count(); for (int index = 0; index < actor_count; ++index) { - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); RegisterActor(actor_table_data, false); actor_ids.insert(ActorID::FromBinary(actor_table_data->actor_id())); } @@ -895,7 +895,7 @@ TEST_P(GcsClientTest, TestEvictExpiredDestroyedActors) { ReconnectClient(); for (int index = 0; index < actor_count; ++index) { - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); RegisterActor(actor_table_data, false); actor_ids.insert(ActorID::FromBinary(actor_table_data->actor_id())); } @@ -937,7 +937,7 @@ TEST_P(GcsClientTest, TestGcsAuth) { RayConfig::instance().initialize(R"({"enable_cluster_auth": true})"); // Restart GCS. RestartGcsServer(); - auto node_info = Mocker::GenNodeInfo(); + auto node_info = GenNodeInfo(); if (!no_redis_) { // If we are backed by Redis, we can reuse cluster ID, so the RPC passes. EXPECT_TRUE(RegisterNode(*node_info)); @@ -953,14 +953,14 @@ TEST_P(GcsClientTest, TestGcsAuth) { TEST_P(GcsClientTest, TestRegisterHeadNode) { // Test at most only one head node is alive in GCS server - auto head_node_info = Mocker::GenNodeInfo(1); + auto head_node_info = GenNodeInfo(1); head_node_info->set_is_head_node(true); ASSERT_TRUE(RegisterNode(*head_node_info)); - auto worker_node_info = Mocker::GenNodeInfo(1); + auto worker_node_info = GenNodeInfo(1); ASSERT_TRUE(RegisterNode(*worker_node_info)); - auto head_node_info_2 = Mocker::GenNodeInfo(1); + auto head_node_info_2 = GenNodeInfo(1); head_node_info_2->set_is_head_node(true); ASSERT_TRUE(RegisterNode(*head_node_info_2)); diff --git a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc index 3613d177f4dd..baa880a625a9 100644 --- a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc @@ -20,8 +20,8 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" @@ -132,7 +132,7 @@ TEST_P(GlobalStateAccessorTest, TestJobTable) { ASSERT_EQ(global_state_->GetAllJobInfo().size(), 0); for (int index = 0; index < job_count; ++index) { auto job_id = JobID::FromInt(index); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); std::promise promise; gcs_client_->Jobs().AsyncAdd( job_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); @@ -148,7 +148,7 @@ TEST_P(GlobalStateAccessorTest, TestJobTableWithSubmissionId) { ASSERT_EQ(global_state_->GetAllJobInfo().size(), 0); for (int index = 0; index < job_count; ++index) { auto job_id = JobID::FromInt(index); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); if (index % 2 == 0) { (*job_table_data->mutable_config()->mutable_metadata())["job_submission_id"] = std::to_string(index); @@ -166,10 +166,9 @@ TEST_P(GlobalStateAccessorTest, TestNodeTable) { ASSERT_EQ(global_state_->GetAllNodeInfo().size(), 0); // It's useful to check if index value will be marked as address suffix. for (int index = 0; index < node_count; ++index) { - auto node_table_data = - Mocker::GenNodeInfo(index, - std::string("127.0.0.") + std::to_string(index), - "Mocker_node_" + std::to_string(index * 10)); + auto node_table_data = GenNodeInfo(index, + std::string("127.0.0.") + std::to_string(index), + "Mocker_node_" + std::to_string(index * 10)); std::promise promise; gcs_client_->Nodes().AsyncRegister( *node_table_data, [&promise](Status status) { promise.set_value(status.ok()); }); @@ -192,7 +191,7 @@ TEST_P(GlobalStateAccessorTest, TestGetAllTotalResources) { ASSERT_EQ(global_state_->GetAllTotalResources().size(), 0); // Register node - auto node_table_data = Mocker::GenNodeInfo(); + auto node_table_data = GenNodeInfo(); node_table_data->mutable_resources_total()->insert({"CPU", 1}); node_table_data->mutable_resources_total()->insert({"GPU", 10}); @@ -222,7 +221,7 @@ TEST_P(GlobalStateAccessorTest, TestGetAllResourceUsage) { resource_usage_batch_data.ParseFromString(*resources.get()); ASSERT_EQ(resource_usage_batch_data.batch_size(), 0); - auto node_table_data = Mocker::GenNodeInfo(); + auto node_table_data = GenNodeInfo(); node_table_data->mutable_resources_total()->insert({"CPU", 1}); std::promise promise; @@ -267,7 +266,7 @@ TEST_P(GlobalStateAccessorTest, TestGetAllResourceUsage) { TEST_P(GlobalStateAccessorTest, TestWorkerTable) { ASSERT_EQ(global_state_->GetAllWorkerInfo().size(), 0); // Add worker info - auto worker_table_data = Mocker::GenWorkerTableData(); + auto worker_table_data = GenWorkerTableData(); worker_table_data->mutable_worker_address()->set_worker_id( WorkerID::FromRandom().Binary()); ASSERT_TRUE(global_state_->AddWorkerInfo(worker_table_data->SerializeAsString())); @@ -277,7 +276,7 @@ TEST_P(GlobalStateAccessorTest, TestWorkerTable) { ASSERT_TRUE(global_state_->GetWorkerInfo(worker_id)); // Add another worker info - auto another_worker_data = Mocker::GenWorkerTableData(); + auto another_worker_data = GenWorkerTableData(); another_worker_data->mutable_worker_address()->set_worker_id( WorkerID::FromRandom().Binary()); ASSERT_TRUE(global_state_->AddWorkerInfo(another_worker_data->SerializeAsString())); @@ -287,7 +286,7 @@ TEST_P(GlobalStateAccessorTest, TestWorkerTable) { TEST_P(GlobalStateAccessorTest, TestUpdateWorkerDebuggerPort) { ASSERT_EQ(global_state_->GetAllWorkerInfo().size(), 0); // Add worker info - auto worker_table_data = Mocker::GenWorkerTableData(); + auto worker_table_data = GenWorkerTableData(); worker_table_data->mutable_worker_address()->set_worker_id( WorkerID::FromRandom().Binary()); ASSERT_TRUE(global_state_->AddWorkerInfo(worker_table_data->SerializeAsString())); @@ -301,7 +300,7 @@ TEST_P(GlobalStateAccessorTest, TestUpdateWorkerDebuggerPort) { ASSERT_TRUE(global_state_->UpdateWorkerDebuggerPort(worker_id, debugger_port)); // Verify the debugger port - auto another_worker_table_data = Mocker::GenWorkerTableData(); + auto another_worker_table_data = GenWorkerTableData(); auto worker_info = global_state_->GetWorkerInfo(worker_id); ASSERT_TRUE(another_worker_table_data->ParseFromString(*worker_info)); ASSERT_EQ(another_worker_table_data->debugger_port(), debugger_port); @@ -310,7 +309,7 @@ TEST_P(GlobalStateAccessorTest, TestUpdateWorkerDebuggerPort) { TEST_P(GlobalStateAccessorTest, TestUpdateWorkerNumPausedThreads) { ASSERT_EQ(global_state_->GetAllWorkerInfo().size(), 0); // Add worker info - auto worker_table_data = Mocker::GenWorkerTableData(); + auto worker_table_data = GenWorkerTableData(); worker_table_data->mutable_worker_address()->set_worker_id( WorkerID::FromRandom().Binary()); ASSERT_TRUE(global_state_->AddWorkerInfo(worker_table_data->SerializeAsString())); @@ -325,7 +324,7 @@ TEST_P(GlobalStateAccessorTest, TestUpdateWorkerNumPausedThreads) { global_state_->UpdateWorkerNumPausedThreads(worker_id, num_paused_threads_delta)); // Verify the num paused threads is equal to num_paused_threads_delta - auto another_worker_table_data = Mocker::GenWorkerTableData(); + auto another_worker_table_data = GenWorkerTableData(); auto worker_info = global_state_->GetWorkerInfo(worker_id); ASSERT_TRUE(another_worker_table_data->ParseFromString(*worker_info)); ASSERT_EQ(another_worker_table_data->num_paused_threads(), num_paused_threads_delta); diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 2bf6918e5fa0..05534230c9db 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -20,8 +20,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_placement_group_manager", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -47,8 +47,8 @@ ray_cc_test( "team:core", ], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_server_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -69,11 +69,11 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/gcs_server:gcs_store_client_kv", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client:redis_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -108,8 +108,8 @@ ray_cc_test( "//:ray_fakes", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_node_manager", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -124,10 +124,10 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_job_manager", "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -141,8 +141,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_task_manager", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -160,9 +160,9 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_placement_group_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -182,13 +182,13 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/gcs_server:gcs_placement_group", "//src/ray/gcs/gcs_server:gcs_placement_group_scheduler", "//src/ray/gcs/gcs_server:gcs_resource_manager", "//src/ray/gcs/gcs_server:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -205,12 +205,11 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_actor", "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/gcs/gcs_server:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -225,7 +224,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_actor", "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/util:counter_map", @@ -246,12 +245,12 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:runtime_env", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_actor", "//src/ray/gcs/gcs_server:gcs_actor_manager", "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/gcs/gcs_server:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/pubsub:publisher", "@com_google_googletest//:gtest_main", ], @@ -266,10 +265,10 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_store_client_kv", "//src/ray/gcs/gcs_server:gcs_worker_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:process", "@com_google_googletest//:gtest_main", ], @@ -302,9 +301,9 @@ ray_cc_test( tags = ["team:core"], deps = [ ":gcs_table_storage_test_lib", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_table_storage", "//src/ray/gcs/store_client/tests:store_client_test_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest", ], ) @@ -316,11 +315,10 @@ ray_cc_test( tags = ["team:core"], deps = [ ":gcs_table_storage_test_lib", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client/tests:store_client_test_lib", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -337,11 +335,12 @@ ray_cc_test( "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:asio", + "//src/ray/common:test_utils", + "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_server:gcs_autoscaler_state_manager", "//src/ray/gcs/gcs_server:gcs_init_data", "//src/ray/gcs/gcs_server:gcs_resource_manager", "//src/ray/gcs/gcs_server:gcs_store_client_kv", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -356,9 +355,9 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/gcs_server:gcs_resource_manager", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -374,8 +373,8 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:asio", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_usage_stats_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -391,10 +390,10 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_job_manager", "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "@com_google_googletest//:gtest_main", ], ) @@ -411,12 +410,12 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:runtime_env", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_actor", "//src/ray/gcs/gcs_server:gcs_actor_manager", "//src/ray/gcs/gcs_server:gcs_actor_scheduler", "//src/ray/gcs/gcs_server:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/pubsub:publisher", "//src/ray/rpc:core_worker_client", "//src/ray/util:event", @@ -435,9 +434,9 @@ ray_cc_test( deps = [ "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/util:string_utils", "@com_google_googletest//:gtest", ], diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index 1dc0fff9e892..104715028a9f 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -14,6 +14,7 @@ #include #include +#include #include #include #include @@ -25,11 +26,11 @@ #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" @@ -227,8 +228,8 @@ class GcsActorManagerTest : public ::testing::Test { const std::string &name = "", const std::string &ray_namespace = "test") { std::promise> promise; - auto request = Mocker::GenRegisterActorRequest( - job_id, max_restarts, detached, name, ray_namespace); + auto request = + GenRegisterActorRequest(job_id, max_restarts, detached, name, ray_namespace); // `DestroyActor` triggers some asynchronous operations. // If we register an actor after destroying an actor, it may result in multithreading // reading and writing the same variable. In order to avoid the problem of @@ -318,7 +319,7 @@ TEST_F(GcsActorManagerTest, TestBasic) { "DEPENDENCIES_UNREADY", "PENDING_CREATION", "ALIVE", "DEAD"}; std::vector vc; for (int i = 0; i < num_retry; i++) { - Mocker::ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_ACTOR.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_ACTOR.log"); if (static_cast(vc.size()) == num_export_events) { for (int event_idx = 0; event_idx < num_export_events; event_idx++) { json export_event_as_json = json::parse(vc[event_idx]); @@ -342,7 +343,7 @@ TEST_F(GcsActorManagerTest, TestBasic) { vc.clear(); } } - Mocker::ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_ACTOR.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_ACTOR.log"); std::ostringstream lines; for (auto line : vc) { lines << line << "\n"; diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index 7d2581b5cf44..7ce39262c691 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -14,6 +14,7 @@ #include +#include #include #include #include @@ -21,10 +22,10 @@ #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_job_manager.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" using json = nlohmann::json; @@ -111,8 +112,7 @@ TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { auto job_api_job_id = JobID::FromInt(100); std::string submission_id = "submission_id_100"; - auto add_job_request = - Mocker::GenAddJobRequest(job_api_job_id, "namespace_100", submission_id); + auto add_job_request = GenAddJobRequest(job_api_job_id, "namespace_100", submission_id); rpc::AddJobReply empty_reply; std::promise promise; gcs_job_manager.HandleAddJob( @@ -124,8 +124,7 @@ TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { promise.get_future().get(); std::vector vc; - Mocker::ReadContentFromFile(vc, - log_dir_ + "/export_events/event_EXPORT_DRIVER_JOB.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_DRIVER_JOB.log"); ASSERT_EQ((int)vc.size(), 1); json event_data = json::parse(vc[0])["event_data"].get(); ASSERT_EQ(event_data["is_dead"], false); @@ -144,8 +143,7 @@ TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { job_finished_promise.get_future().get(); vc.clear(); - Mocker::ReadContentFromFile(vc, - log_dir_ + "/export_events/event_EXPORT_DRIVER_JOB.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_DRIVER_JOB.log"); ASSERT_EQ((int)vc.size(), 2); event_data = json::parse(vc[1])["event_data"].get(); ASSERT_EQ(event_data["is_dead"], true); diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc index 03237fe82167..209411686a7a 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc @@ -15,6 +15,7 @@ #include #include +#include #include #include #include @@ -22,9 +23,9 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" @@ -89,7 +90,7 @@ TEST_F(GcsNodeManagerExportAPITest, TestExportEventRegisterNode) { io_service_, client_pool_.get(), ClusterID::Nil()); - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); rpc::RegisterNodeRequest register_request; register_request.mutable_node_info()->CopyFrom(*node); @@ -101,7 +102,7 @@ TEST_F(GcsNodeManagerExportAPITest, TestExportEventRegisterNode) { io_service_.poll(); std::vector vc; - Mocker::ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_NODE.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_NODE.log"); ASSERT_EQ((int)vc.size(), 1); json event_data = json::parse(vc[0])["event_data"].get(); ASSERT_EQ(event_data["state"], "ALIVE"); @@ -114,7 +115,7 @@ TEST_F(GcsNodeManagerExportAPITest, TestExportEventUnregisterNode) { io_service_, client_pool_.get(), ClusterID::Nil()); - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); node_manager.AddNode(node); @@ -132,7 +133,7 @@ TEST_F(GcsNodeManagerExportAPITest, TestExportEventUnregisterNode) { io_service_.poll(); std::vector vc; - Mocker::ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_NODE.log"); + ReadContentFromFile(vc, log_dir_ + "/export_events/event_EXPORT_NODE.log"); ASSERT_EQ((int)vc.size(), 1); json event_data = json::parse(vc[0])["event_data"].get(); ASSERT_EQ(event_data["state"], "DEAD"); diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 8dca97d5ad0c..836687f36fcc 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -26,11 +26,11 @@ #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/pubsub/publisher.h" namespace ray { @@ -179,8 +179,8 @@ class GcsActorManagerTest : public ::testing::Test { while (io_service_.poll_one()) { continue; } - auto request = Mocker::GenRegisterActorRequest( - job_id, max_restarts, detached, name, ray_namespace); + auto request = + GenRegisterActorRequest(job_id, max_restarts, detached, name, ray_namespace); auto status = gcs_actor_manager_->RegisterActor(request, [](const Status &) {}); io_service_.run_one(); io_service_.run_one(); @@ -595,10 +595,10 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { // Gen `CreateActorRequest` with an empty name. // (name,actor_id) => ("", actor_id_1) - auto request1 = Mocker::GenRegisterActorRequest(job_id, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/""); + auto request1 = GenRegisterActorRequest(job_id, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/""); Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); io_service_.run_one(); @@ -610,10 +610,10 @@ TEST_F(GcsActorManagerTest, TestActorWithEmptyName) { // Gen another `CreateActorRequest` with an empty name. // (name,actor_id) => ("", actor_id_2) - auto request2 = Mocker::GenRegisterActorRequest(job_id, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/""); + auto request2 = GenRegisterActorRequest(job_id, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/""); status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); // Ensure successful registration. @@ -624,22 +624,22 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { auto job_id_1 = JobID::FromInt(1); auto job_id_2 = JobID::FromInt(2); - auto request1 = Mocker::GenRegisterActorRequest(job_id_1, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor1", - /*ray_namespace=*/"test_named_actor"); + auto request1 = GenRegisterActorRequest(job_id_1, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor1", + /*ray_namespace=*/"test_named_actor"); Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor1", "test_named_actor").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); - auto request2 = Mocker::GenRegisterActorRequest(job_id_1, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor2", - /*ray_namesapce=*/"test_named_actor"); + auto request2 = GenRegisterActorRequest(job_id_1, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor2", + /*ray_namesapce=*/"test_named_actor"); status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.ok()); @@ -651,11 +651,11 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { ActorID::Nil()); // Check that naming collisions return Status::AlreadyExists. - auto request3 = Mocker::GenRegisterActorRequest(job_id_1, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor2", - /*ray_namesapce=*/"test_named_actor"); + auto request3 = GenRegisterActorRequest(job_id_1, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor2", + /*ray_namesapce=*/"test_named_actor"); status = gcs_actor_manager_->RegisterActor(request3, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); @@ -663,11 +663,11 @@ TEST_F(GcsActorManagerTest, TestNamedActors) { request2.task_spec().actor_creation_task_spec().actor_id()); // Check that naming collisions are enforced across JobIDs. - auto request4 = Mocker::GenRegisterActorRequest(job_id_2, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor2", - /*ray_namesapce=*/"test_named_actor"); + auto request4 = GenRegisterActorRequest(job_id_2, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor2", + /*ray_namesapce=*/"test_named_actor"); status = gcs_actor_manager_->RegisterActor(request4, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); @@ -845,10 +845,10 @@ TEST_F(GcsActorManagerTest, TestNamedActorDeletionNotHappendWhenReconstructed) { // It should fail because actor has been reconstructed, and names shouldn't have been // cleaned. const auto job_id_2 = JobID::FromInt(2); - auto request2 = Mocker::GenRegisterActorRequest(job_id_2, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor"); + auto request2 = GenRegisterActorRequest(job_id_2, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor"); status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); io_service_.run_one(); ASSERT_TRUE(status.IsAlreadyExists()); @@ -1108,21 +1108,21 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { std::string second_namespace = "another_namespace"; job_namespace_table_[job_id_2] = second_namespace; - auto request1 = Mocker::GenRegisterActorRequest(job_id_1, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor"); + auto request1 = GenRegisterActorRequest(job_id_1, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor"); Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); ASSERT_TRUE(status.ok()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), request1.task_spec().actor_creation_task_spec().actor_id()); io_service_.run_one(); - auto request2 = Mocker::GenRegisterActorRequest(job_id_2, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor", - second_namespace); + auto request2 = GenRegisterActorRequest(job_id_2, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor", + second_namespace); // Create a second actor of the same name. Its job id belongs to a different // namespace though. status = gcs_actor_manager_->RegisterActor(request2, [](const Status &) {}); @@ -1134,11 +1134,11 @@ TEST_F(GcsActorManagerTest, TestRayNamespace) { request1.task_spec().actor_creation_task_spec().actor_id()); io_service_.run_one(); - auto request3 = Mocker::GenRegisterActorRequest(job_id_3, - /*max_restarts=*/0, - /*detached=*/true, - /*name=*/"actor", - /*ray_namespace=*/"test"); + auto request3 = GenRegisterActorRequest(job_id_3, + /*max_restarts=*/0, + /*detached=*/true, + /*name=*/"actor", + /*ray_namespace=*/"test"); status = gcs_actor_manager_->RegisterActor(request3, [](const Status &) {}); ASSERT_TRUE(status.IsAlreadyExists()); ASSERT_EQ(gcs_actor_manager_->GetActorIDByName("actor", "test").Binary(), @@ -1151,8 +1151,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { std::string ray_namespace = "actor_namespace"; auto job_id_1 = JobID::FromInt(1); - auto request_1 = - Mocker::GenRegisterActorRequest(job_id_1, 0, true, actor_name, ray_namespace); + auto request_1 = GenRegisterActorRequest(job_id_1, 0, true, actor_name, ray_namespace); auto actor_id_1 = ActorID::FromBinary(request_1.task_spec().actor_creation_task_spec().actor_id()); Status status = gcs_actor_manager_->RegisterActor(request_1, [](const Status &) {}); @@ -1170,8 +1169,7 @@ TEST_F(GcsActorManagerTest, TestReuseActorNameInNamespace) { io_service_.run_one(); auto job_id_2 = JobID::FromInt(2); - auto request_2 = - Mocker::GenRegisterActorRequest(job_id_2, 0, true, actor_name, ray_namespace); + auto request_2 = GenRegisterActorRequest(job_id_2, 0, true, actor_name, ray_namespace); auto actor_id_2 = ActorID::FromBinary(request_2.task_spec().actor_creation_task_spec().actor_id()); status = gcs_actor_manager_->RegisterActor(request_2, [](const Status &) {}); @@ -1211,9 +1209,9 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoFilters) { auto job_id_other = JobID::FromInt(2); auto num_other_actors = 3; for (int i = 0; i < num_other_actors; i++) { - auto request1 = Mocker::GenRegisterActorRequest(job_id_other, - /*max_restarts=*/0, - /*detached=*/false); + auto request1 = GenRegisterActorRequest(job_id_other, + /*max_restarts=*/0, + /*detached=*/false); Status register_status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); ASSERT_TRUE(register_status.ok()); @@ -1288,9 +1286,9 @@ TEST_F(GcsActorManagerTest, TestGetAllActorInfoLimit) { auto job_id_1 = JobID::FromInt(1); auto num_actors = 3; for (int i = 0; i < num_actors; i++) { - auto request1 = Mocker::GenRegisterActorRequest(job_id_1, - /*max_restarts=*/0, - /*detached=*/false); + auto request1 = GenRegisterActorRequest(job_id_1, + /*max_restarts=*/0, + /*detached=*/false); Status status = gcs_actor_manager_->RegisterActor(request1, [](const Status &) {}); ASSERT_TRUE(status.ok()); io_service_.run_one(); @@ -1638,7 +1636,7 @@ TEST_F(GcsActorManagerTest, TestDestroyActorWhenActorIsCreating) { TEST_F(GcsActorManagerTest, TestDestroyWhileRegistering) { // Register comes in -> Kill comes in -> Run all kv operations and callbacks - auto register_request = Mocker::GenRegisterActorRequest( + auto register_request = GenRegisterActorRequest( JobID::FromInt(1), /*max_restarts=*/0, /*detached=*/false, "", "test"); rpc::RegisterActorReply register_reply; gcs_actor_manager_->HandleRegisterActor( diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc index 50208c9ea62a..4aeb171c36d1 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc @@ -22,7 +22,7 @@ #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/raylet_client/raylet_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/util/counter_map.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index 89816e4ca1e3..dcbe76cf4955 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -26,12 +26,11 @@ #include "fakes/ray/rpc/worker/core_worker_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/counter_map.h" namespace ray { @@ -177,15 +176,14 @@ class GcsActorSchedulerTest : public ::testing::Test { required_resources.insert(required_placement_resources.begin(), required_placement_resources.end()); - auto actor_creating_task_spec = - Mocker::GenActorCreationTask(job_id, - /*max_restarts=*/1, - /*detached=*/true, - /*name=*/"", - "", - owner_address, - required_resources, - required_placement_resources); + auto actor_creating_task_spec = GenActorCreationTask(job_id, + /*max_restarts=*/1, + /*detached=*/true, + /*name=*/"", + "", + owner_address, + required_resources, + required_placement_resources); return std::make_shared(actor_creating_task_spec.GetMessage(), /*ray_namespace=*/"", counter); @@ -193,7 +191,7 @@ class GcsActorSchedulerTest : public ::testing::Test { std::shared_ptr AddNewNode( std::unordered_map node_resources) { - auto node_info = Mocker::GenNodeInfo(); + auto node_info = GenNodeInfo(); node_info->mutable_resources_total()->insert(node_resources.begin(), node_resources.end()); gcs_node_manager_->AddNode(node_info); @@ -230,7 +228,7 @@ TEST_F(GcsActorSchedulerTest, TestScheduleFailedWithZeroNode) { ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -246,13 +244,13 @@ TEST_F(GcsActorSchedulerTest, TestScheduleFailedWithZeroNode) { } TEST_F(GcsActorSchedulerTest, TestScheduleActorSuccess) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -284,13 +282,13 @@ TEST_F(GcsActorSchedulerTest, TestScheduleActorSuccess) { } TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenLeasing) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -335,13 +333,13 @@ TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenLeasing) { } TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenCreating) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -379,13 +377,13 @@ TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenCreating) { } TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenLeasing) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -421,13 +419,13 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenLeasing) { } TEST_F(GcsActorSchedulerTest, TestLeasingCancelledWhenLeasing) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -458,13 +456,13 @@ TEST_F(GcsActorSchedulerTest, TestLeasingCancelledWhenLeasing) { } TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenCreating) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -504,13 +502,13 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenCreating) { } TEST_F(GcsActorSchedulerTest, TestWorkerFailedWhenCreating) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -546,13 +544,13 @@ TEST_F(GcsActorSchedulerTest, TestWorkerFailedWhenCreating) { } TEST_F(GcsActorSchedulerTest, TestSpillback) { - auto node1 = Mocker::GenNodeInfo(); + auto node1 = GenNodeInfo(); auto node_id_1 = NodeID::FromBinary(node1->node_id()); gcs_node_manager_->AddNode(node1); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); @@ -564,13 +562,13 @@ TEST_F(GcsActorSchedulerTest, TestSpillback) { ASSERT_EQ(0, worker_client_->GetNumCallbacks()); // Add another node. - auto node2 = Mocker::GenNodeInfo(); + auto node2 = GenNodeInfo(); auto node_id_2 = NodeID::FromBinary(node2->node_id()); gcs_node_manager_->AddNode(node2); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); // Grant with an invalid spillback node, and schedule again. - auto invalid_node_id = NodeID::FromBinary(Mocker::GenNodeInfo()->node_id()); + auto invalid_node_id = NodeID::FromBinary(GenNodeInfo()->node_id()); ASSERT_TRUE(raylet_client_->GrantWorkerLease(node2->node_manager_address(), node2->node_manager_port(), WorkerID::Nil(), @@ -613,14 +611,14 @@ TEST_F(GcsActorSchedulerTest, TestSpillback) { } TEST_F(GcsActorSchedulerTest, TestReschedule) { - auto node1 = Mocker::GenNodeInfo(); + auto node1 = GenNodeInfo(); auto node_id_1 = NodeID::FromBinary(node1->node_id()); gcs_node_manager_->AddNode(node1); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); // 1.Actor is already tied to a leased worker. auto job_id = JobID::FromInt(1); - auto create_actor_request = Mocker::GenCreateActorRequest(job_id); + auto create_actor_request = GenCreateActorRequest(job_id); auto actor = std::make_shared(create_actor_request.task_spec(), "", counter); rpc::Address address; @@ -669,7 +667,7 @@ TEST_F(GcsActorSchedulerTest, TestReleaseUnusedActorWorkers) { // if there is still a pending `ReleaseUnusedActorWorkers` request. // Add a node to the cluster. - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); gcs_node_manager_->AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); @@ -687,7 +685,7 @@ TEST_F(GcsActorSchedulerTest, TestReleaseUnusedActorWorkers) { // `GcsActorScheduler` won't send `RequestWorkerLease` request to node immediately. But // instead, it will invoke the `RetryLeasingWorkerFromNode` to retry later. auto job_id = JobID::FromInt(1); - auto request = Mocker::GenCreateActorRequest(job_id); + auto request = GenCreateActorRequest(job_id); auto actor = std::make_shared(request.task_spec(), "", counter); gcs_actor_scheduler_->ScheduleByRaylet(actor); ASSERT_EQ(2, gcs_actor_scheduler_->num_retry_leasing_count_); diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index 68ed5f907e8a..d94285270952 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -32,10 +32,11 @@ #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" -#include "ray/gcs/tests/gcs_test_util.h" +#include "ray/gcs/pb_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" namespace ray { @@ -201,13 +202,13 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { bool is_draining = false, int64_t draining_deadline_timestamp_ms = -1) { rpc::ResourcesData resources_data; - Mocker::FillResourcesData(resources_data, - node_id, - available_resources, - total_resources, - idle_ms, - is_draining, - draining_deadline_timestamp_ms); + FillResourcesData(resources_data, + node_id, + available_resources, + total_resources, + idle_ms, + is_draining, + draining_deadline_timestamp_ms); gcs_autoscaler_state_manager_->UpdateResourceLoadAndUsage(resources_data); } @@ -225,7 +226,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { void UpdateResourceLoads(const std::string &node_id, std::vector demands) { rpc::ResourcesData data; - Mocker::FillResourcesData(data, node_id, demands); + FillResourcesData(data, node_id, demands); gcs_autoscaler_state_manager_->UpdateResourceLoadAndUsage(data); } @@ -384,7 +385,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGenPlacementConstraintForPlacementGrou } TEST_F(GcsAutoscalerStateManagerTest, TestNodeAddUpdateRemove) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. { @@ -426,7 +427,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestNodeAddUpdateRemove) { } TEST_F(GcsAutoscalerStateManagerTest, TestGetClusterStatusBasic) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Test basic cluster resource. { @@ -457,7 +458,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGetClusterStatusBasic) { TEST_F(GcsAutoscalerStateManagerTest, TestNodeDynamicLabelsWithPG) { /// Check if PGs are created on a node, the node status should include /// the PG labels. - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. node->mutable_resources_total()->insert({"CPU", 2}); @@ -485,7 +486,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestNodeDynamicLabelsWithPG) { } TEST_F(GcsAutoscalerStateManagerTest, TestBasicResourceRequests) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 2}); node->mutable_resources_total()->insert({"GPU", 1}); node->set_instance_id("instance_1"); @@ -501,16 +502,16 @@ TEST_F(GcsAutoscalerStateManagerTest, TestBasicResourceRequests) { // Update resource usages. { UpdateResourceLoads(node->node_id(), - {Mocker::GenResourceDemand({{"CPU", 1}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 1, - /* num_backlog */ 0, - /* label_selectors */ {}), - Mocker::GenResourceDemand({{"CPU", 4}, {"GPU", 2}}, - /* num_ready_queued */ 0, - /* num_infeasible */ 1, - /* num_backlog */ 1, - /* label_selectors */ {})}); + {GenResourceDemand({{"CPU", 1}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 1, + /* num_backlog */ 0, + /* label_selectors */ {}), + GenResourceDemand({{"CPU", 4}, {"GPU", 2}}, + /* num_ready_queued */ 0, + /* num_infeasible */ 1, + /* num_backlog */ 1, + /* label_selectors */ {})}); const auto &state = GetClusterResourceStateSync(); // Expect each pending resources shape to be num_infeasible + num_backlog. @@ -526,7 +527,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestBasicResourceRequests) { } TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsBasic) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 1}); node->set_instance_id("instance_1"); // Adding a node. @@ -543,14 +544,13 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsBasic) { { auto pg = PlacementGroupID::Of(job_id); EXPECT_CALL(*gcs_placement_group_manager_, GetPlacementGroupLoad) - .WillOnce( - Return(Mocker::GenPlacementGroupLoad({Mocker::GenPlacementGroupTableData( - pg, - job_id, - {{{"CPU", 1}}, {{"GPU", 1}}}, - {"", ""}, - rpc::PlacementStrategy::STRICT_SPREAD, - rpc::PlacementGroupTableData::PENDING)}))); + .WillOnce(Return(GenPlacementGroupLoad( + {GenPlacementGroupTableData(pg, + job_id, + {{{"CPU", 1}}, {{"GPU", 1}}}, + {"", ""}, + rpc::PlacementStrategy::STRICT_SPREAD, + rpc::PlacementGroupTableData::PENDING)}))); auto state = GetClusterResourceStateSync(); CheckGangResourceRequests(state, @@ -564,14 +564,13 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsBasic) { { auto pg = PlacementGroupID::Of(job_id); EXPECT_CALL(*gcs_placement_group_manager_, GetPlacementGroupLoad) - .WillOnce( - Return(Mocker::GenPlacementGroupLoad({Mocker::GenPlacementGroupTableData( - pg, - job_id, - {{{"CPU", 1}}, {{"GPU", 1}}}, - {"", ""}, - rpc::PlacementStrategy::STRICT_PACK, - rpc::PlacementGroupTableData::PENDING)}))); + .WillOnce(Return(GenPlacementGroupLoad( + {GenPlacementGroupTableData(pg, + job_id, + {{{"CPU", 1}}, {{"GPU", 1}}}, + {"", ""}, + rpc::PlacementStrategy::STRICT_PACK, + rpc::PlacementGroupTableData::PENDING)}))); auto state = GetClusterResourceStateSync(); CheckGangResourceRequests(state, @@ -583,7 +582,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsBasic) { } TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsNonStrict) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->set_instance_id("instance_1"); node->mutable_resources_total()->insert({"CPU", 1}); // Adding a node. @@ -597,20 +596,19 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsNonStrict) { auto pg1 = PlacementGroupID::Of(job_id1); auto pg2 = PlacementGroupID::Of(job_id2); EXPECT_CALL(*gcs_placement_group_manager_, GetPlacementGroupLoad) - .WillOnce(Return(Mocker::GenPlacementGroupLoad( - {Mocker::GenPlacementGroupTableData(pg1, - job_id1, - {{{"CPU", 1}, {"GPU", 2}}}, - {""}, - rpc::PlacementStrategy::PACK, - rpc::PlacementGroupTableData::PENDING), - Mocker::GenPlacementGroupTableData( - pg2, - job_id2, - {{{"TPU", 1}}}, - {""}, - rpc::PlacementStrategy::SPREAD, - rpc::PlacementGroupTableData::PENDING)}))); + .WillOnce(Return(GenPlacementGroupLoad( + {GenPlacementGroupTableData(pg1, + job_id1, + {{{"CPU", 1}, {"GPU", 2}}}, + {""}, + rpc::PlacementStrategy::PACK, + rpc::PlacementGroupTableData::PENDING), + GenPlacementGroupTableData(pg2, + job_id2, + {{{"TPU", 1}}}, + {""}, + rpc::PlacementStrategy::SPREAD, + rpc::PlacementGroupTableData::PENDING)}))); const auto &state = GetClusterResourceStateSync(); CheckGangResourceRequests(state, @@ -621,7 +619,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsNonStrict) { } TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsPartialRescheduling) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->set_instance_id("instance_1"); node->mutable_resources_total()->insert({"CPU", 1}); // Adding a node. @@ -632,14 +630,13 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGangResourceRequestsPartialReschedulin auto pg1 = PlacementGroupID::Of(job_id1); EXPECT_CALL(*gcs_placement_group_manager_, GetPlacementGroupLoad) - .WillOnce( - Return(Mocker::GenPlacementGroupLoad({Mocker::GenPlacementGroupTableData( - pg1, - job_id1, - {{{"CPU_failed_1", 1}}, {{"CPU_success_2", 2}}}, - {"", node->node_id()}, - rpc::PlacementStrategy::STRICT_SPREAD, - rpc::PlacementGroupTableData::RESCHEDULING)}))); + .WillOnce(Return(GenPlacementGroupLoad( + {GenPlacementGroupTableData(pg1, + job_id1, + {{{"CPU_failed_1", 1}}, {{"CPU_success_2", 2}}}, + {"", node->node_id()}, + rpc::PlacementStrategy::STRICT_SPREAD, + rpc::PlacementGroupTableData::RESCHEDULING)}))); const auto &state = GetClusterResourceStateSync(); @@ -662,7 +659,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestClusterResourcesConstraint) { // Generate one constraint. { RequestClusterResourceConstraint( - Mocker::GenClusterResourcesConstraint({{{"CPU", 2}, {"GPU", 1}}}, {1})); + GenClusterResourcesConstraint({{{"CPU", 2}, {"GPU", 1}}}, {1})); const auto &state = GetClusterResourceStateSync(); ASSERT_EQ(state.cluster_resource_constraints_size(), 1); ASSERT_EQ(state.cluster_resource_constraints(0).resource_requests_size(), 1); @@ -673,8 +670,8 @@ TEST_F(GcsAutoscalerStateManagerTest, TestClusterResourcesConstraint) { // Override it { - RequestClusterResourceConstraint(Mocker::GenClusterResourcesConstraint( - {{{"CPU", 4}, {"GPU", 5}, {"TPU", 1}}}, {1})); + RequestClusterResourceConstraint( + GenClusterResourcesConstraint({{{"CPU", 4}, {"GPU", 5}, {"TPU", 1}}}, {1})); const auto &state = GetClusterResourceStateSync(); ASSERT_EQ(state.cluster_resource_constraints_size(), 1); ASSERT_EQ(state.cluster_resource_constraints(0).resource_requests_size(), 1); @@ -726,7 +723,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestReportAutoscalingState) { } TEST_F(GcsAutoscalerStateManagerTest, TestDrainNonAliveNode) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. node->mutable_resources_total()->insert({"CPU", 2}); @@ -751,7 +748,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestDrainNonAliveNode) { } TEST_F(GcsAutoscalerStateManagerTest, TestDrainingStatus) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. node->mutable_resources_total()->insert({"CPU", 2}); @@ -786,7 +783,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestDrainingStatus) { } TEST_F(GcsAutoscalerStateManagerTest, TestDrainNodeRaceCondition) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. node->mutable_resources_total()->insert({"CPU", 2}); @@ -818,7 +815,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestDrainNodeRaceCondition) { } TEST_F(GcsAutoscalerStateManagerTest, TestIdleTime) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); // Adding a node. node->mutable_resources_total()->insert({"CPU", 2}); @@ -879,8 +876,8 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGcsKvManagerInternalConfig) { TEST_F(GcsAutoscalerStateManagerTest, TestGetPerNodeInfeasibleResourceRequests_NoInfeasibleRequests) { // Prepare - auto node_1 = Mocker::GenNodeInfo(); - auto node_2 = Mocker::GenNodeInfo(); + auto node_1 = GenNodeInfo(); + auto node_2 = GenNodeInfo(); // Add nodes { @@ -895,27 +892,27 @@ TEST_F(GcsAutoscalerStateManagerTest, // Update resource usages { UpdateResourceLoads(node_1->node_id(), - {Mocker::GenResourceDemand({{"GPU", 1}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 1, - /* num_backlog */ 0, - /* label_selectors */ {}), - Mocker::GenResourceDemand({{"CPU", 1}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 0, - /* num_backlog */ 1, - /* label_selectors */ {}), - Mocker::GenResourceDemand({{"CPU", 3}}, - /* num_ready_queued */ 0, - /* num_infeasible */ 1, - /* num_backlog */ 1, - /* label_selectors */ {})}); + {GenResourceDemand({{"GPU", 1}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 1, + /* num_backlog */ 0, + /* label_selectors */ {}), + GenResourceDemand({{"CPU", 1}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 0, + /* num_backlog */ 1, + /* label_selectors */ {}), + GenResourceDemand({{"CPU", 3}}, + /* num_ready_queued */ 0, + /* num_infeasible */ 1, + /* num_backlog */ 1, + /* label_selectors */ {})}); UpdateResourceLoads(node_2->node_id(), - {Mocker::GenResourceDemand({{"CPU", 2}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 0, - /* num_backlog */ 1, - /* label_selectors */ {})}); + {GenResourceDemand({{"CPU", 2}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 0, + /* num_backlog */ 1, + /* label_selectors */ {})}); } // Update autoscaling state @@ -942,8 +939,8 @@ TEST_F(GcsAutoscalerStateManagerTest, TEST_F(GcsAutoscalerStateManagerTest, TestGetPerNodeInfeasibleResourceRequests_WithInfeasibleRequests) { // Prepare - auto node_1 = Mocker::GenNodeInfo(); - auto node_2 = Mocker::GenNodeInfo(); + auto node_1 = GenNodeInfo(); + auto node_2 = GenNodeInfo(); // Add nodes { @@ -958,27 +955,27 @@ TEST_F(GcsAutoscalerStateManagerTest, // Update resource usages { UpdateResourceLoads(node_1->node_id(), - {Mocker::GenResourceDemand({{"GPU", 1}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 1, - /* num_backlog */ 0), + {GenResourceDemand({{"GPU", 1}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 1, + /* num_backlog */ 0), /* label_selectors */ {}, - Mocker::GenResourceDemand({{"CPU", 1}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 0, - /* num_backlog */ 1), + GenResourceDemand({{"CPU", 1}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 0, + /* num_backlog */ 1), /* label_selectors */ {}, - Mocker::GenResourceDemand({{"CPU", 3}}, - /* num_ready_queued */ 0, - /* num_infeasible */ 1, - /* num_backlog */ 1, - /* label_selectors */ {})}); + GenResourceDemand({{"CPU", 3}}, + /* num_ready_queued */ 0, + /* num_infeasible */ 1, + /* num_backlog */ 1, + /* label_selectors */ {})}); UpdateResourceLoads(node_2->node_id(), - {Mocker::GenResourceDemand({{"CPU", 2}}, - /* nun_ready_queued */ 1, - /* nun_infeasible */ 0, - /* num_backlog */ 1, - /* label_selectors */ {})}); + {GenResourceDemand({{"CPU", 2}}, + /* nun_ready_queued */ 1, + /* nun_infeasible */ 0, + /* num_backlog */ 1, + /* label_selectors */ {})}); } // Update autoscaling state @@ -1021,7 +1018,7 @@ TEST_F(GcsAutoscalerStateManagerTest, } TEST_F(GcsAutoscalerStateManagerTest, TestNodeLabelsAdded) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 2}); node->set_instance_id("instance_1"); (*node->mutable_labels())["accelerator-type"] = "TPU"; @@ -1036,7 +1033,7 @@ TEST_F(GcsAutoscalerStateManagerTest, TestNodeLabelsAdded) { } TEST_F(GcsAutoscalerStateManagerTest, TestGetPendingResourceRequestsWithLabelSelectors) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 2}); node->set_instance_id("instance_1"); AddNode(node); @@ -1061,11 +1058,11 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGetPendingResourceRequestsWithLabelSel // Simulate an infeasible request with a label selector UpdateResourceLoads(node->node_id(), - {Mocker::GenResourceDemand({{"CPU", 2}}, - /*ready=*/0, - /*infeasible=*/1, - /*backlog=*/0, - {selector})}); + {GenResourceDemand({{"CPU", 2}}, + /*ready=*/0, + /*infeasible=*/1, + /*backlog=*/0, + {selector})}); } // Validate the cluster state includes the generated pending request diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index 5fe6fad4aa96..0678826f0ac8 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -21,9 +21,9 @@ #include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" namespace ray { @@ -129,7 +129,7 @@ TEST_F(GcsJobManagerTest, TestIsRunningTasks) { address.set_worker_id(WorkerID::FromRandom().Binary()); auto add_job_request = - Mocker::GenAddJobRequest(job_id, std::to_string(i), std::to_string(i), address); + GenAddJobRequest(job_id, std::to_string(i), std::to_string(i), address); rpc::AddJobReply empty_reply; std::promise promise; gcs_job_manager_->HandleAddJob( @@ -171,8 +171,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfo) { // Add 100 jobs. for (int i = 0; i < 100; ++i) { auto job_id = JobID::FromInt(i); - auto add_job_request = - Mocker::GenAddJobRequest(job_id, "namespace_" + std::to_string(i)); + auto add_job_request = GenAddJobRequest(job_id, "namespace_" + std::to_string(i)); rpc::AddJobReply empty_reply; std::promise promise; gcs_job_manager_->HandleAddJob( @@ -203,8 +202,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfo) { // API.") auto job_api_job_id = JobID::FromInt(100); std::string submission_id = "submission_id_100"; - auto add_job_request = - Mocker::GenAddJobRequest(job_api_job_id, "namespace_100", submission_id); + auto add_job_request = GenAddJobRequest(job_api_job_id, "namespace_100", submission_id); rpc::AddJobReply empty_reply; std::promise promise; gcs_job_manager_->HandleAddJob( @@ -307,8 +305,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfo) { // Add another job with the *same* submission ID. This can happen if the entrypoint // script calls ray.init() multiple times. auto job_id2 = JobID::FromInt(2); - auto add_job_request2 = - Mocker::GenAddJobRequest(job_id2, "namespace_100", submission_id); + auto add_job_request2 = GenAddJobRequest(job_id2, "namespace_100", submission_id); std::promise promise4; gcs_job_manager_->HandleAddJob( *add_job_request2, @@ -344,8 +341,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfoWithFilter) { std::promise promise1; std::promise promise2; - auto add_job_request1 = - Mocker::GenAddJobRequest(job_id1, "namespace_1", "submission_1"); + auto add_job_request1 = GenAddJobRequest(job_id1, "namespace_1", "submission_1"); gcs_job_manager_->HandleAddJob( *add_job_request1, &empty_reply, @@ -354,8 +350,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfoWithFilter) { }); promise1.get_future().get(); - auto add_job_request2 = - Mocker::GenAddJobRequest(job_id2, "namespace_2", "submission_2"); + auto add_job_request2 = GenAddJobRequest(job_id2, "namespace_2", "submission_2"); gcs_job_manager_->HandleAddJob( *add_job_request2, &empty_reply, @@ -422,7 +417,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfoWithLimit) { std::promise promise1; std::promise promise2; - auto add_job_request1 = Mocker::GenAddJobRequest(job_id1, "namespace_1"); + auto add_job_request1 = GenAddJobRequest(job_id1, "namespace_1"); gcs_job_manager_->HandleAddJob( *add_job_request1, &empty_reply, @@ -431,7 +426,7 @@ TEST_F(GcsJobManagerTest, TestGetAllJobInfoWithLimit) { }); promise1.get_future().get(); - auto add_job_request2 = Mocker::GenAddJobRequest(job_id2, "namespace_2"); + auto add_job_request2 = GenAddJobRequest(job_id2, "namespace_2"); gcs_job_manager_->HandleAddJob( *add_job_request2, &empty_reply, @@ -518,7 +513,7 @@ TEST_F(GcsJobManagerTest, TestGetJobConfig) { std::promise promise1; std::promise promise2; - auto add_job_request1 = Mocker::GenAddJobRequest(job_id1, "namespace_1"); + auto add_job_request1 = GenAddJobRequest(job_id1, "namespace_1"); gcs_job_manager_->HandleAddJob( *add_job_request1, &empty_reply, @@ -527,7 +522,7 @@ TEST_F(GcsJobManagerTest, TestGetJobConfig) { }); promise1.get_future().get(); - auto add_job_request2 = Mocker::GenAddJobRequest(job_id2, "namespace_2"); + auto add_job_request2 = GenAddJobRequest(job_id2, "namespace_2"); gcs_job_manager_->HandleAddJob( *add_job_request2, &empty_reply, @@ -547,7 +542,7 @@ TEST_F(GcsJobManagerTest, TestPreserveDriverInfo) { auto job_id = JobID::FromInt(1); gcs::GcsInitData gcs_init_data(*gcs_table_storage_); gcs_job_manager_->Initialize(/*init_data=*/gcs_init_data); - auto add_job_request = Mocker::GenAddJobRequest(job_id, "namespace"); + auto add_job_request = GenAddJobRequest(job_id, "namespace"); rpc::Address address; address.set_ip_address("10.0.0.1"); @@ -619,7 +614,7 @@ TEST_F(GcsJobManagerTest, TestMarkJobFinishedIdempotency) { gcs_job_manager.Initialize(/*init_data=*/gcs_init_data); // Add a job first - auto add_job_request = Mocker::GenAddJobRequest(job_id, "namespace"); + auto add_job_request = GenAddJobRequest(job_id, "namespace"); rpc::AddJobReply add_job_reply; std::promise add_promise; gcs_job_manager.HandleAddJob( @@ -703,7 +698,7 @@ TEST_F(GcsJobManagerTest, TestNodeFailure) { std::promise promise1; std::promise promise2; - auto add_job_request1 = Mocker::GenAddJobRequest(job_id1, "namespace_1"); + auto add_job_request1 = GenAddJobRequest(job_id1, "namespace_1"); gcs_job_manager_->HandleAddJob( *add_job_request1, &empty_reply, @@ -712,7 +707,7 @@ TEST_F(GcsJobManagerTest, TestNodeFailure) { }); promise1.get_future().get(); - auto add_job_request2 = Mocker::GenAddJobRequest(job_id2, "namespace_2"); + auto add_job_request2 = GenAddJobRequest(job_id2, "namespace_2"); gcs_job_manager_->HandleAddJob( *add_job_request2, &empty_reply, diff --git a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc index 9792fd9e0898..26d9f1a56fe5 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc @@ -21,7 +21,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc index 7b8472a385bf..7086c31bb025 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc @@ -22,7 +22,7 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" -#include "ray/gcs/tests/gcs_test_util.h" +#include "ray/common/test_utils.h" namespace ray { class GcsNodeManagerTest : public ::testing::Test { @@ -52,7 +52,7 @@ TEST_F(GcsNodeManagerTest, TestManagement) { client_pool_.get(), ClusterID::Nil()); // Test Add/Get/Remove functionality. - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); node_manager.AddNode(node); @@ -77,7 +77,7 @@ TEST_F(GcsNodeManagerTest, TestListener) { added_nodes.emplace_back(std::move(node)); }); for (int i = 0; i < node_count; ++i) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node_manager.AddNode(node); } ASSERT_EQ(node_count, added_nodes.size()); @@ -114,7 +114,7 @@ TEST_F(GcsNodeManagerTest, TestUpdateAliveNode) { ClusterID::Nil()); // Create a test node - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); // Add the node to the manager diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc index 4be984192de4..ad8db572aa44 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc @@ -22,8 +22,8 @@ #include "mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "mock/ray/gcs/gcs_server/gcs_resource_manager.h" #include "mock/ray/gcs/store_client/store_client.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_placement_group_manager.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/util/counter_map.h" @@ -69,8 +69,7 @@ class GcsPlacementGroupManagerMockTest : public Test { TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityReschedule) { // Test priority works // When return with reschedule, it should be given with the highest pri - auto req = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); + auto req = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); auto pg = std::make_shared(req, "", counter_); auto cb = [](Status s) {}; SchedulePgRequest request; @@ -96,8 +95,7 @@ TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityReschedule) { TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityFailed) { // Test priority works // When return with a failure, exp backoff should work - auto req = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); + auto req = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); auto pg = std::make_shared(req, "", counter_); auto cb = [](Status s) {}; SchedulePgRequest request; @@ -150,11 +148,9 @@ TEST_F(GcsPlacementGroupManagerMockTest, PendingQueuePriorityOrder) { // Test priority works // Add two pgs // Fail one and make sure it's scheduled later - auto req1 = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); + auto req1 = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); auto pg1 = std::make_shared(req1, "", counter_); - auto req2 = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); + auto req2 = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 1); auto pg2 = std::make_shared(req2, "", counter_); auto cb = [](Status s) {}; SchedulePgRequest request; diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc index d6421e6b7758..25a0986b0a96 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc @@ -23,8 +23,8 @@ #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/util/counter_map.h" @@ -224,7 +224,7 @@ class GcsPlacementGroupManagerTest : public ::testing::Test { }; TEST_F(GcsPlacementGroupManagerTest, TestPlacementGroupBundleCache) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -244,7 +244,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestPlacementGroupBundleCache) { } TEST_F(GcsPlacementGroupManagerTest, TestBasic) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -263,7 +263,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestBasic) { } TEST_F(GcsPlacementGroupManagerTest, TestSchedulingFailed) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -296,7 +296,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestSchedulingFailed) { } TEST_F(GcsPlacementGroupManagerTest, TestGetPlacementGroupIDByName) { - auto request = Mocker::GenCreatePlacementGroupRequest("test_name"); + auto request = GenCreatePlacementGroupRequest("test_name"); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -315,7 +315,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestGetPlacementGroupIDByName) { } TEST_F(GcsPlacementGroupManagerTest, TestRemoveNamedPlacementGroup) { - auto request = Mocker::GenCreatePlacementGroupRequest("test_name"); + auto request = GenCreatePlacementGroupRequest("test_name"); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -339,7 +339,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRemoveNamedPlacementGroup) { } TEST_F(GcsPlacementGroupManagerTest, TestRemovedPlacementGroupNotReportedAsLoad) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -367,7 +367,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRemovedPlacementGroupNotReportedAsLoad) } TEST_F(GcsPlacementGroupManagerTest, TestRescheduleWhenNodeAdd) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -389,7 +389,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRescheduleWhenNodeAdd) { } TEST_F(GcsPlacementGroupManagerTest, TestRemovingPendingPlacementGroup) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -428,7 +428,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRemovingPendingPlacementGroup) { } TEST_F(GcsPlacementGroupManagerTest, TestRemovingLeasingPlacementGroup) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -464,7 +464,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRemovingLeasingPlacementGroup) { } TEST_F(GcsPlacementGroupManagerTest, TestRemovingCreatedPlacementGroup) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -508,7 +508,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestReschedulingRetry) { /// pg scheduled -> pg created -> node dead -> /// pg rescheduled -> rescheduling failed -> retry. /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -551,7 +551,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRescheduleWhenNodeDead) { /// Test the basic case. /// pg scheduled -> pg created -> node dead -> pg rescheduled. /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -587,7 +587,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestNodeDeadBeforePlacementGroupCreated) { /// Test the case where a node dies before the placement group is created. /// pg scheduled -> node dead -> pg created -> pg rescheduled. /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -630,7 +630,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestTwoNodesWithBundlesFromSamePlacementGro /// -> bundles on node1 created -> pg rescheduled (for bundles on node2) -> pg created /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -693,7 +693,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestTwoNodesWithBundlesFromSamePlacementGro /// -> pg prepared -> bundles on node1 created -> pg rescheduled (for bundles on node2) /// -> pg created /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -755,7 +755,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestTwoNodesWithBundlesFromSamePlacementGro /// pg scheduled -> pg created -> node1 dead -> pg rescheduled -> node2 dead /// -> pg still in rescheduled state -> pg prepared -> pg created /// - auto request1 = Mocker::GenCreatePlacementGroupRequest(); + auto request1 = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -809,15 +809,14 @@ TEST_F(GcsPlacementGroupManagerTest, TestTwoNodesWithBundlesFromSamePlacementGro TEST_F(GcsPlacementGroupManagerTest, TestSchedulerReinitializeAfterGcsRestart) { // Create a placement group and make sure it has been created successfully. auto job_id = JobID::FromInt(1); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, /* cpu_num */ 1.0, /* job_id */ job_id); - auto job_table_data = Mocker::GenJobTableData(job_id); - gcs_table_storage_->JobTable().Put( - job_id, *job_table_data, {[](auto) {}, io_service_}); + auto job_table_data = GenJobTableData(job_id); + gcs_table_storage_->JobTable().Put(job_id, *job_table_data, {[](auto) {}, io_service_}); std::atomic registered_placement_group_count{0}; RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; @@ -851,7 +850,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestAutomaticCleanupWhenActorDeadAndJobDead // Test the scenario where actor dead -> job dead. const auto job_id = JobID::FromInt(1); const auto actor_id = ActorID::Of(job_id, TaskID::Nil(), 0); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, @@ -887,7 +886,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestAutomaticCleanupWhenActorAndJobDead) { // Test the scenario where job dead -> actor dead. const auto job_id = JobID::FromInt(1); const auto actor_id = ActorID::Of(job_id, TaskID::Nil(), 0); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, @@ -925,7 +924,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestAutomaticCleanupWhenActorAndJobDead) { TEST_F(GcsPlacementGroupManagerTest, TestAutomaticCleanupWhenOnlyJobDead) { // Test placement group is cleaned when both actor & job are dead. const auto job_id = JobID::FromInt(1); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, @@ -959,7 +958,7 @@ TEST_F(GcsPlacementGroupManagerTest, // Test placement group is cleaned when both actor & job are dead. const auto job_id = JobID::FromInt(1); const auto different_job_id = JobID::FromInt(3); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, @@ -990,7 +989,7 @@ TEST_F(GcsPlacementGroupManagerTest, } TEST_F(GcsPlacementGroupManagerTest, TestSchedulingCanceledWhenPgIsInfeasible) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -1029,11 +1028,11 @@ TEST_F(GcsPlacementGroupManagerTest, TestSchedulingCanceledWhenPgIsInfeasible) { } TEST_F(GcsPlacementGroupManagerTest, TestRayNamespace) { - auto request1 = Mocker::GenCreatePlacementGroupRequest("test_name"); + auto request1 = GenCreatePlacementGroupRequest("test_name"); job_namespace_table_[JobID::FromInt(11)] = "another_namespace"; - auto request2 = Mocker::GenCreatePlacementGroupRequest( + auto request2 = GenCreatePlacementGroupRequest( "test_name", rpc::PlacementStrategy::SPREAD, 2, 1.0, JobID::FromInt(11)); - auto request3 = Mocker::GenCreatePlacementGroupRequest("test_name"); + auto request3 = GenCreatePlacementGroupRequest("test_name"); { // Create a placement group in the empty namespace. std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request1, [®istered_placement_group_count](Status status) { @@ -1092,7 +1091,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestRayNamespace) { } TEST_F(GcsPlacementGroupManagerTest, TestStats) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { @@ -1152,7 +1151,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestStats) { } TEST_F(GcsPlacementGroupManagerTest, TestStatsCreationTime) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); std::atomic registered_placement_group_count(0); auto request_received_ns = absl::GetCurrentTimeNanos(); RegisterPlacementGroup(request, @@ -1197,7 +1196,7 @@ TEST_F(GcsPlacementGroupManagerTest, TestGetAllPlacementGroupInfoLimit) { auto num_pgs = 3; std::atomic registered_placement_group_count(0); for (int i = 0; i < num_pgs; i++) { - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); RegisterPlacementGroup(request, [®istered_placement_group_count](const Status &status) { ++registered_placement_group_count; @@ -1236,16 +1235,15 @@ TEST_F(GcsPlacementGroupManagerTest, TestGetAllPlacementGroupInfoLimit) { TEST_F(GcsPlacementGroupManagerTest, TestCheckCreatorJobIsDeadWhenGcsRestart) { auto job_id = JobID::FromInt(1); - auto request = Mocker::GenCreatePlacementGroupRequest( + auto request = GenCreatePlacementGroupRequest( /* name */ "", rpc::PlacementStrategy::SPREAD, /* bundles_count */ 2, /* cpu_num */ 1.0, /* job_id */ job_id); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); job_table_data->set_is_dead(true); - gcs_table_storage_->JobTable().Put( - job_id, *job_table_data, {[](auto) {}, io_service_}); + gcs_table_storage_->JobTable().Put(job_id, *job_table_data, {[](auto) {}, io_service_}); std::atomic registered_placement_group_count{0}; RegisterPlacementGroup(request, [®istered_placement_group_count](Status status) { ++registered_placement_group_count; diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc index af3db9c5f798..92b8208f410a 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc @@ -25,12 +25,12 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_placement_group.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/util/counter_map.h" @@ -145,7 +145,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { void ScheduleFailedWithZeroNodeTest(rpc::PlacementStrategy strategy) { ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); - auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); + auto request = GenCreatePlacementGroupRequest("", strategy); auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with zero node. @@ -169,11 +169,11 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } void SchedulePlacementGroupSuccessTest(rpc::PlacementStrategy strategy) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); + auto request = GenCreatePlacementGroupRequest("", strategy); auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be @@ -200,7 +200,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } void ReschedulingWhenNodeAddTest(rpc::PlacementStrategy strategy) { - AddNode(Mocker::GenNodeInfo(0), 1); + AddNode(GenNodeInfo(0), 1); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); @@ -212,7 +212,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { }; // Failed to schedule the placement group, because the node resources is not enough. - auto request = Mocker::GenCreatePlacementGroupRequest("", strategy); + auto request = GenCreatePlacementGroupRequest("", strategy); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -220,7 +220,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { CheckPlacementGroupSize(0, GcsPlacementGroupStatus::SUCCESS); // A new node is added, and the rescheduling is successful. - AddNode(Mocker::GenNodeInfo(0), 2); + AddNode(GenNodeInfo(0), 2); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); ASSERT_TRUE(raylet_clients_[0]->GrantPrepareBundleResources()); @@ -230,8 +230,8 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } void AddTwoNodes() { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); } @@ -335,11 +335,11 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackSchedulePlacementGroupSucce } TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReplyFailure) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be @@ -367,7 +367,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReplyFailure) { } TEST_F(GcsPlacementGroupSchedulerTest, TestSpreadStrategyResourceCheck) { - auto node = Mocker::GenNodeInfo(0); + auto node = GenNodeInfo(0); AddNode(node, 2); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { @@ -378,8 +378,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSpreadStrategyResourceCheck) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - auto request = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 3, 2); + auto request = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::SPREAD, 3, 2); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -395,11 +394,11 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSpreadStrategyResourceCheck) { } TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReturnResource) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto request = Mocker::GenCreatePlacementGroupRequest(); + auto request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(request, "", counter_); // Schedule the placement_group with 1 available node, and the lease request should be @@ -428,8 +427,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestSchedulePlacementGroupReturnResource) } TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyBalancedScheduling) { - AddNode(Mocker::GenNodeInfo(0)); - AddNode(Mocker::GenNodeInfo(1)); + AddNode(GenNodeInfo(0)); + AddNode(GenNodeInfo(1)); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); @@ -446,7 +445,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyBalancedScheduling) int node_index = 0; for (int index = 0; index < 10; ++index) { auto request = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); + GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -474,7 +473,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyReschedulingWhenNod } TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { - auto node0 = Mocker::GenNodeInfo(0); + auto node0 = GenNodeInfo(0); AddNode(node0); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { @@ -485,8 +484,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - auto request = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); + auto request = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -497,10 +495,10 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { // Node1 has less number of bundles, but it doesn't satisfy the resource // requirement. In this case, the bundles should be scheduled on Node0. - auto node1 = Mocker::GenNodeInfo(1); + auto node1 = GenNodeInfo(1); AddNode(node1, 1); auto create_placement_group_request2 = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); + GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_PACK); auto placement_group2 = std::make_shared(create_placement_group_request2, "", counter_); scheduler_->ScheduleUnplacedBundles( @@ -512,11 +510,11 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictPackStrategyResourceCheck) { } TEST_F(GcsPlacementGroupSchedulerTest, DestroyPlacementGroup) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -548,13 +546,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, DestroyPlacementGroup) { } TEST_F(GcsPlacementGroupSchedulerTest, DestroyCancelledPlacementGroup) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); const auto &placement_group_id = placement_group->GetPlacementGroupID(); @@ -582,13 +580,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, DestroyCancelledPlacementGroup) { } TEST_F(GcsPlacementGroupSchedulerTest, PlacementGroupCancelledDuringCommit) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); const auto &placement_group_id = placement_group->GetPlacementGroupID(); @@ -624,13 +622,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, PlacementGroupCancelledDuringPreparedPut) // After a PG is prepared by all nodes, GCS writes to Redis then commit-all. // If a Cancel is happening during prepare, or during the Redis write, i.e. before the // commit-all is called, the PG should be removed and no commits should be sent. - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -675,8 +673,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyReschedulingWhenNodeAdd) } TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyLargeBundlesScheduling) { - AddNode(Mocker::GenNodeInfo(0)); - AddNode(Mocker::GenNodeInfo(1)); + AddNode(GenNodeInfo(0)); + AddNode(GenNodeInfo(1)); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { absl::MutexLock lock(&placement_group_requests_mutex_); @@ -689,8 +687,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyLargeBundlesScheduling) { // Schedule placement group which has large bundles. // One node does not have enough resources, so we will divide bundles to two nodes. - auto request = - Mocker::GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::PACK, 15); + auto request = GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::PACK, 15); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -712,13 +709,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPackStrategyLargeBundlesScheduling) { TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadRescheduleWhenNodeDead) { int node_count = 3; for (int index = 0; index < node_count; ++index) { - auto node = Mocker::GenNodeInfo(index); + auto node = GenNodeInfo(index); AddNode(node); } ASSERT_EQ(3, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest( - "pg1", rpc::PlacementStrategy::STRICT_SPREAD); + auto create_placement_group_request = + GenCreatePlacementGroupRequest("pg1", rpc::PlacementStrategy::STRICT_SPREAD); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -790,7 +787,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadRescheduleWhenNodeDead) { } TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadStrategyResourceCheck) { - auto node0 = Mocker::GenNodeInfo(0); + auto node0 = GenNodeInfo(0); AddNode(node0); auto failure_handler = [this](std::shared_ptr placement_group, bool is_insfeasble) { @@ -801,8 +798,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadStrategyResourceCheck) { absl::MutexLock lock(&placement_group_requests_mutex_); success_placement_groups_.emplace_back(std::move(placement_group)); }; - auto request = Mocker::GenCreatePlacementGroupRequest( - "", rpc::PlacementStrategy::STRICT_SPREAD, 2, 2); + auto request = + GenCreatePlacementGroupRequest("", rpc::PlacementStrategy::STRICT_SPREAD, 2, 2); auto placement_group = std::make_shared(request, "", counter_); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -811,14 +808,14 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestStrictSpreadStrategyResourceCheck) { WaitPlacementGroupPendingDone(1, GcsPlacementGroupStatus::FAILURE); // Node1 resource is insufficient, scheduling failed. - auto node1 = Mocker::GenNodeInfo(1); + auto node1 = GenNodeInfo(1); AddNode(node1, 1); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); WaitPlacementGroupPendingDone(2, GcsPlacementGroupStatus::FAILURE); // The node2 resource is enough and the scheduling is successful. - auto node2 = Mocker::GenNodeInfo(2); + auto node2 = GenNodeInfo(2); AddNode(node2); scheduler_->ScheduleUnplacedBundles( SchedulePgRequest{placement_group, failure_handler, success_handler}); @@ -836,8 +833,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestBundleLocationIndex) { /// Generate data. const auto node1 = NodeID::FromRandom(); const auto node2 = NodeID::FromRandom(); - rpc::CreatePlacementGroupRequest request_pg1 = - Mocker::GenCreatePlacementGroupRequest("pg1"); + rpc::CreatePlacementGroupRequest request_pg1 = GenCreatePlacementGroupRequest("pg1"); const auto pg1_id = PlacementGroupID::FromBinary( request_pg1.placement_group_spec().placement_group_id()); const std::shared_ptr bundle_node1_pg1 = @@ -853,8 +849,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestBundleLocationIndex) { (*bundle_locations_pg1) .emplace(bundle_node2_pg1->BundleId(), std::make_pair(node2, bundle_node2_pg1)); - rpc::CreatePlacementGroupRequest request_pg2 = - Mocker::GenCreatePlacementGroupRequest("pg2"); + rpc::CreatePlacementGroupRequest request_pg2 = GenCreatePlacementGroupRequest("pg2"); const auto pg2_id = PlacementGroupID::FromBinary( request_pg2.placement_group_spec().placement_group_id()); const std::shared_ptr bundle_node1_pg2 = @@ -908,13 +903,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestBundleLocationIndex) { } TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringPreparingResources) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -946,13 +941,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringPreparingResourcesRaceCondition) { // This covers the scnario where the node is dead right after raylet sends a success // response. - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -988,13 +983,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, } TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadBeforeCommittingResources) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1027,13 +1022,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadBeforeCommittingResources) { } TEST_F(GcsPlacementGroupSchedulerTest, TestNodeErrorDuringCommittingResources) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1064,13 +1059,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeErrorDuringCommittingResources) { } TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringRescheduling) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1121,13 +1116,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestNodeDeadDuringRescheduling) { } TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommit) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1180,13 +1175,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommit) } TEST_F(GcsPlacementGroupSchedulerTest, TestPGCancelledDuringReschedulingCommitPrepare) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1244,13 +1239,13 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestReleaseUnusedBundles) { } TEST_F(GcsPlacementGroupSchedulerTest, TestInitialize) { - auto node0 = Mocker::GenNodeInfo(0); - auto node1 = Mocker::GenNodeInfo(1); + auto node0 = GenNodeInfo(0); + auto node1 = GenNodeInfo(1); AddNode(node0); AddNode(node1); ASSERT_EQ(2, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); placement_group->GetMutableBundle(0)->set_node_id(node0->node_id()); @@ -1284,8 +1279,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPrepareFromDeadNodes) { ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( - Mocker::GenCreatePlacementGroupRequest(), "", counter_); + auto placement_group = + std::make_shared(GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. ScheduleUnplacedBundles(placement_group); @@ -1312,8 +1307,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestPrepareFromNodeWithInsufficientResour ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( - Mocker::GenCreatePlacementGroupRequest(), "", counter_); + auto placement_group = + std::make_shared(GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. ScheduleUnplacedBundles(placement_group); @@ -1340,8 +1335,8 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestCommitToDeadNodes) { ASSERT_TRUE(EnsureClusterResourcesAreNotInUse()); // Create a placement group. - auto placement_group = std::make_shared( - Mocker::GenCreatePlacementGroupRequest(), "", counter_); + auto placement_group = + std::make_shared(GenCreatePlacementGroupRequest(), "", counter_); // Schedule the unplaced bundles of the placement_group. ScheduleUnplacedBundles(placement_group); @@ -1366,7 +1361,7 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestCommitToDeadNodes) { } TEST_F(GcsPlacementGroupSchedulerTest, TestCheckingWildcardResource) { - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest( + auto create_placement_group_request = GenCreatePlacementGroupRequest( /*name=*/"", /*strategy=*/rpc::PlacementStrategy::SPREAD, /*bundles_count=*/1); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1387,11 +1382,11 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles) { // This feature is only required by gcs actor scheduler. RayConfig::instance().initialize(R"({"gcs_actor_scheduling_enabled": true})"); - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); @@ -1456,11 +1451,11 @@ TEST_F(GcsPlacementGroupSchedulerTest, TestWaitingRemovedBundles) { } TEST_F(GcsPlacementGroupSchedulerTest, TestBundlesRemovedWhenNodeDead) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); AddNode(node); ASSERT_EQ(1, gcs_node_manager_->GetAllAliveNodes().size()); - auto create_placement_group_request = Mocker::GenCreatePlacementGroupRequest(); + auto create_placement_group_request = GenCreatePlacementGroupRequest(); auto placement_group = std::make_shared(create_placement_group_request, "", counter_); diff --git a/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc index 8a417a77363f..a652ec345edf 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/tests/gcs_test_util.h" +#include "ray/common/test_utils.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" namespace ray { @@ -71,7 +71,7 @@ TEST_F(GcsResourceManagerTest, TestBasic) { absl::flat_hash_map resource_map; resource_map[cpu_resource] = 10; - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert(resource_map.begin(), resource_map.end()); // Add node resources. gcs_resource_manager_->OnNodeAdd(*node); @@ -103,7 +103,7 @@ TEST_F(GcsResourceManagerTest, TestBasic) { } TEST_F(GcsResourceManagerTest, TestResourceUsageAPI) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 2}); auto node_id = NodeID::FromBinary(node->node_id()); rpc::GetAllResourceUsageRequest get_all_request; @@ -140,7 +140,7 @@ TEST_F(GcsResourceManagerTest, TestResourceUsageAPI) { } TEST_F(GcsResourceManagerTest, TestResourceUsageFromDifferentSyncMsgs) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 10}); gcs_resource_manager_->OnNodeAdd(*node); @@ -188,7 +188,7 @@ TEST_F(GcsResourceManagerTest, TestResourceUsageFromDifferentSyncMsgs) { } TEST_F(GcsResourceManagerTest, TestSetAvailableResourcesWhenNodeDead) { - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert({"CPU", 10}); gcs_resource_manager_->OnNodeAdd(*node); @@ -212,7 +212,7 @@ TEST_F(GcsResourceManagerTest, TestNodeLabels) { absl::flat_hash_map labels = {{"key", "value"}, {"gpu_type", "a100"}}; - auto node = Mocker::GenNodeInfo(); + auto node = GenNodeInfo(); node->mutable_resources_total()->insert(resource_map.begin(), resource_map.end()); node->mutable_labels()->insert(labels.begin(), labels.end()); // Add node resources. @@ -226,7 +226,7 @@ TEST_F(GcsResourceManagerTest, TestNodeLabels) { } TEST_F(GcsResourceManagerTest, TestGetDrainingNodes) { - auto node1 = Mocker::GenNodeInfo(); + auto node1 = GenNodeInfo(); node1->mutable_resources_total()->insert({"CPU", 10}); gcs_resource_manager_->OnNodeAdd(*node1); UpdateFromResourceViewSync( @@ -237,7 +237,7 @@ TEST_F(GcsResourceManagerTest, TestGetDrainingNodes) { /* is_draining */ true, /* draining_deadline_timestamp_ms */ std::numeric_limits::max()); - auto node2 = Mocker::GenNodeInfo(); + auto node2 = GenNodeInfo(); node2->mutable_resources_total()->insert({"CPU", 1}); gcs_resource_manager_->OnNodeAdd(*node2); UpdateFromResourceViewSync(NodeID::FromBinary(node2->node_id()), diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc index 2df5c2681201..f9b208f0e33f 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc @@ -19,8 +19,8 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/rpc/gcs/gcs_rpc_client.h" namespace ray { @@ -230,14 +230,14 @@ class GcsServerTest : public ::testing::Test { TEST_F(GcsServerTest, TestActorInfo) { // Create actor_table_data JobID job_id = JobID::FromInt(1); - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); // TODO(sand): Add tests that don't require checkponit. } TEST_F(GcsServerTest, TestJobInfo) { // Create job_table_data JobID job_id = JobID::FromInt(1); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); // Add job rpc::AddJobRequest add_job_request; @@ -253,17 +253,17 @@ TEST_F(GcsServerTest, TestJobInfo) { TEST_F(GcsServerTest, TestJobGarbageCollection) { // Create job_table_data JobID job_id = JobID::FromInt(1); - auto job_table_data = Mocker::GenJobTableData(job_id); + auto job_table_data = GenJobTableData(job_id); // Add job rpc::AddJobRequest add_job_request; add_job_request.mutable_data()->CopyFrom(*job_table_data); ASSERT_TRUE(AddJob(add_job_request)); - auto actor_table_data = Mocker::GenActorTableData(job_id); + auto actor_table_data = GenActorTableData(job_id); // Register detached actor for job - auto detached_actor_table_data = Mocker::GenActorTableData(job_id); + auto detached_actor_table_data = GenActorTableData(job_id); detached_actor_table_data->set_is_detached(true); // Mark job finished @@ -279,7 +279,7 @@ TEST_F(GcsServerTest, TestJobGarbageCollection) { TEST_F(GcsServerTest, TestNodeInfo) { // Create gcs node info - auto gcs_node_info = Mocker::GenNodeInfo(); + auto gcs_node_info = GenNodeInfo(); // Register node info rpc::RegisterNodeRequest register_node_info_request; @@ -308,9 +308,9 @@ TEST_F(GcsServerTest, TestNodeInfo) { TEST_F(GcsServerTest, TestNodeInfoFilters) { // Create gcs node info - auto node1 = Mocker::GenNodeInfo(1, "127.0.0.1", "node1"); - auto node2 = Mocker::GenNodeInfo(2, "127.0.0.2", "node2"); - auto node3 = Mocker::GenNodeInfo(3, "127.0.0.3", "node3"); + auto node1 = GenNodeInfo(1, "127.0.0.1", "node1"); + auto node2 = GenNodeInfo(2, "127.0.0.2", "node2"); + auto node3 = GenNodeInfo(3, "127.0.0.3", "node3"); // Register node infos for (auto &node : {node1, node2, node3}) { @@ -442,7 +442,7 @@ TEST_F(GcsServerTest, TestNodeInfoFilters) { TEST_F(GcsServerTest, TestWorkerInfo) { // Report worker failure - auto worker_failure_data = Mocker::GenWorkerTableData(); + auto worker_failure_data = GenWorkerTableData(); worker_failure_data->mutable_worker_address()->set_ip_address("127.0.0.1"); worker_failure_data->mutable_worker_address()->set_port(5566); rpc::ReportWorkerFailureRequest report_worker_failure_request; @@ -452,7 +452,7 @@ TEST_F(GcsServerTest, TestWorkerInfo) { ASSERT_EQ(worker_table_data.size(), 1); // Add worker info - auto worker_data = Mocker::GenWorkerTableData(); + auto worker_data = GenWorkerTableData(); worker_data->mutable_worker_address()->set_worker_id(WorkerID::FromRandom().Binary()); rpc::AddWorkerInfoRequest add_worker_request; add_worker_request.mutable_worker_data()->CopyFrom(*worker_data); diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h index 839bbddd31d3..b90f7b6aefab 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -26,7 +26,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_actor_manager.h" #include "ray/gcs/gcs_server/gcs_actor_scheduler.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h index cd66ea7fb0e7..982327dffee1 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h +++ b/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h @@ -19,9 +19,8 @@ #include "gtest/gtest.h" #include "ray/common/id.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/tests/gcs_test_util.h" namespace ray { @@ -41,8 +40,8 @@ class GcsTableStorageTestBase : public ::testing::Test { auto &table = gcs_table_storage_->JobTable(); JobID job1_id = JobID::FromInt(1); JobID job2_id = JobID::FromInt(2); - auto job1_table_data = Mocker::GenJobTableData(job1_id); - auto job2_table_data = Mocker::GenJobTableData(job2_id); + auto job1_table_data = GenJobTableData(job1_id); + auto job2_table_data = GenJobTableData(job2_id); // Put. Put(table, job1_id, *job1_table_data); @@ -65,9 +64,9 @@ class GcsTableStorageTestBase : public ::testing::Test { JobID job_id1 = JobID::FromInt(1); JobID job_id2 = JobID::FromInt(2); JobID job_id3 = JobID::FromInt(3); - auto actor_table_data1 = Mocker::GenActorTableData(job_id1); - auto actor_table_data2 = Mocker::GenActorTableData(job_id2); - auto actor_table_data3 = Mocker::GenActorTableData(job_id3); + auto actor_table_data1 = GenActorTableData(job_id1); + auto actor_table_data2 = GenActorTableData(job_id2); + auto actor_table_data3 = GenActorTableData(job_id3); ActorID actor_id1 = ActorID::FromBinary(actor_table_data1->actor_id()); ActorID actor_id2 = ActorID::FromBinary(actor_table_data2->actor_id()); ActorID actor_id3 = ActorID::FromBinary(actor_table_data3->actor_id()); diff --git a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc index 099ceadfad98..bd39ef33c655 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc @@ -26,8 +26,8 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/id.h" #include "ray/common/status.h" +#include "ray/common/test_utils.h" #include "ray/gcs/pb_util.h" -#include "ray/gcs/tests/gcs_test_util.h" namespace ray { namespace gcs { @@ -117,7 +117,7 @@ class GcsTaskManagerTest : public ::testing::Test { actor_id.IsNil() ? TaskType::NORMAL_TASK : TaskType::ACTOR_TASK, actor_id), error_info); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } @@ -431,7 +431,7 @@ TEST_F(GcsTaskManagerTest, TestHandleAddEventBasic) { size_t num_task_events = 100; auto task_ids = GenTaskIDs(num_task_events); auto events = GenTaskEvents(task_ids, 0); - auto events_data = Mocker::GenRayEventsData(events, {}); + auto events_data = GenRayEventsData(events, {}); auto reply = SyncAddEvents(events_data); // Assert on RPC reply. @@ -448,8 +448,8 @@ TEST_F(GcsTaskManagerTest, TestHandleAddTaskEventBasic) { int32_t num_profile_events_dropped = 10; auto task_ids = GenTaskIDs(num_task_events); auto events = GenTaskEvents(task_ids, 0); - auto events_data = Mocker::GenTaskEventsData( - events, num_profile_events_dropped, num_status_events_dropped); + auto events_data = + GenTaskEventsData(events, num_profile_events_dropped, num_status_events_dropped); auto reply = SyncAddTaskEventData(events_data); @@ -483,7 +483,7 @@ TEST_F(GcsTaskManagerTest, TestHandleAddEventsMultiJobGrouping) { dropped_attempts.emplace_back(GenTaskIDForJob(0), 0); dropped_attempts.emplace_back(GenTaskIDForJob(1), 0); - auto ray_events_data = Mocker::GenRayEventsData(all_events, dropped_attempts); + auto ray_events_data = GenRayEventsData(all_events, dropped_attempts); // Send AddEvents once; converter should group by job id and GCS should record all auto reply = SyncAddEvents(ray_events_data); @@ -518,7 +518,7 @@ TEST_F(GcsTaskManagerTest, TestMergeTaskEventsSameTaskAttempt) { for (size_t i = 0; i < num_task_events; ++i) { auto profile_events = GenProfileEvents("event", i, i); auto events = GenTaskEvents(task_ids, attempt_number, 0, profile_events); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); auto reply = SyncAddTaskEventData(events_data); EXPECT_EQ(StatusCode(reply.status().code()), StatusCode::OK); @@ -572,14 +572,14 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEvents) { auto all_events = {events_with_profile, events_with_status, events_with_both}; for (auto &events : all_events) { - auto data = Mocker::GenTaskEventsData(events); + auto data = GenTaskEventsData(events); SyncAddTaskEventData(data); } } { // Add drop counter. - auto data = Mocker::GenTaskEventsData( + auto data = GenTaskEventsData( {}, num_profile_task_events_dropped, num_status_task_events_dropped); SyncAddTaskEventData(data); } @@ -591,7 +591,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEvents) { std::vector expected_events = ConcatTaskEvents({events_with_status, events_with_profile, events_with_both}); - auto expected_data = Mocker::GenTaskEventsData(expected_events); + auto expected_data = GenTaskEventsData(expected_events); // Expect match events ExpectTaskEventsEq(expected_data.mutable_events_by_task(), reply.mutable_events_by_task()); @@ -613,7 +613,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsWithLimit) { auto profile_events = GenProfileEvents("event", /*start*/ 1, /*end*/ 1); auto status_update = GenStateUpdate(); auto events = GenTaskEvents(task_ids, 0, 0, profile_events, status_update); - auto data = Mocker::GenTaskEventsData(events); + auto data = GenTaskEventsData(events); SyncAddTaskEventData(data); } @@ -661,7 +661,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByTaskIDs) { all_events.push_back(GenTaskEvents({task_id1}, attempt_num)); } auto events_task1 = ConcatTaskEvents(all_events); - events_data_task1 = Mocker::GenTaskEventsData(events_task1); + events_data_task1 = GenTaskEventsData(events_task1); SyncAddTaskEventData(events_data_task1); } @@ -673,7 +673,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByTaskIDs) { all_events.push_back(GenTaskEvents({task_id2}, attempt_num)); } auto events_task2 = ConcatTaskEvents(all_events); - events_data_task2 = Mocker::GenTaskEventsData(events_task2); + events_data_task2 = GenTaskEventsData(events_task2); SyncAddTaskEventData(events_data_task2); } @@ -685,7 +685,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByTaskIDs) { all_events.push_back(GenTaskEvents({task_id3}, attempt_num)); } auto events_task3 = ConcatTaskEvents(all_events); - events_data_task3 = Mocker::GenTaskEventsData(events_task3); + events_data_task3 = GenTaskEventsData(events_task3); SyncAddTaskEventData(events_data_task3); } @@ -783,7 +783,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByJobs) { absl::nullopt, absl::nullopt, task_info); - events_data_job1 = Mocker::GenTaskEventsData(events); + events_data_job1 = GenTaskEventsData(events); SyncAddTaskEventData(events_data_job1); } @@ -798,7 +798,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByJobs) { absl::nullopt, absl::nullopt, task_info); - events_data_job2 = Mocker::GenTaskEventsData(events); + events_data_job2 = GenTaskEventsData(events); SyncAddTaskEventData(events_data_job2); } @@ -813,7 +813,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsByJobs) { absl::nullopt, absl::nullopt, task_info); - events_data_job3 = Mocker::GenTaskEventsData(events); + events_data_job3 = GenTaskEventsData(events); SyncAddTaskEventData(events_data_job3); } @@ -921,7 +921,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsFilters) { absl::nullopt, absl::nullopt, task_info_actor_id); - event_data_actor_id_job1 = Mocker::GenTaskEventsData(events); + event_data_actor_id_job1 = GenTaskEventsData(events); SyncAddTaskEventData(event_data_actor_id_job1); } @@ -940,7 +940,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsFilters) { absl::nullopt, absl::nullopt, task_info_name); - event_data_task_name_job1 = Mocker::GenTaskEventsData(events); + event_data_task_name_job1 = GenTaskEventsData(events); SyncAddTaskEventData(event_data_task_name_job1); } @@ -960,7 +960,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsFilters) { GenStateUpdate({{rpc::TaskStatus::PENDING_NODE_ASSIGNMENT, 1}, {task_status, 5}}, WorkerID::Nil()), task_info); - event_data_task_state_job2 = Mocker::GenTaskEventsData(events); + event_data_task_state_job2 = GenTaskEventsData(events); SyncAddTaskEventData(event_data_task_state_job2); } @@ -1424,7 +1424,7 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestIndexNoLeak) { GenProfileEvents("event", 1, 1), GenStateUpdate({}, worker_id), GenTaskInfo(job_id)); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } @@ -1445,7 +1445,7 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestIndexNoLeak) { GenProfileEvents("event", 1, 1), GenStateUpdate(), GenTaskInfo(JobID::FromInt(job_id))); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } } @@ -1479,8 +1479,7 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestLimitTaskEvents) { /* attempt_number */ 0, /* job_id */ 0, GenProfileEvents("event", 1, 1)); - auto events_data = - Mocker::GenTaskEventsData(events, num_profile_events_dropped_on_worker); + auto events_data = GenTaskEventsData(events, num_profile_events_dropped_on_worker); SyncAddTaskEventData(events_data); } { @@ -1490,9 +1489,9 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestLimitTaskEvents) { /* job_id */ 0, /* profile_events */ absl::nullopt, GenStateUpdate()); - auto events_data = Mocker::GenTaskEventsData(events, - /*num_profile_task_events_dropped*/ 0, - num_status_events_dropped_on_worker); + auto events_data = GenTaskEventsData(events, + /*num_profile_task_events_dropped*/ 0, + num_status_events_dropped_on_worker); SyncAddTaskEventData(events_data); } @@ -1501,7 +1500,7 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestLimitTaskEvents) { { // Add new task events to overwrite the existing ones. expected_events = GenTaskEvents(GenTaskIDs(num_batch2), 0); - auto events_data = Mocker::GenTaskEventsData(expected_events); + auto events_data = GenTaskEventsData(expected_events); SyncAddTaskEventData(events_data); } @@ -1542,7 +1541,7 @@ TEST_F(GcsTaskManagerTest, TestGetTaskEventsWithDriver) { /* status_update*/ absl::nullopt, GenTaskInfo( /* job_id */ JobID::FromInt(0), TaskID::Nil(), rpc::TaskType::DRIVER_TASK)); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } @@ -1583,7 +1582,7 @@ TEST_F(GcsTaskManagerMemoryLimitedTest, TestLimitReturnRecentTasksWhenGetAll) { /* job_id */ 0, /* profile event */ absl::nullopt, GenStateUpdate({{rpc::TaskStatus::RUNNING, 1}}, WorkerID::Nil())); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } @@ -1616,7 +1615,7 @@ TEST_F(GcsTaskManagerTest, TestTaskDataLossWorker) { EXPECT_EQ(reply.events_by_task_size(), 1); // Report it as data loss. - auto data = Mocker::GenTaskEventsDataLoss({{task_id, 0}}); + auto data = GenTaskEventsDataLoss({{task_id, 0}}); SyncAddTaskEventData(data); // The task attempt should be dropped. @@ -1639,7 +1638,7 @@ TEST_F(GcsTaskManagerTest, TestMultipleJobsDataLoss) { SyncAddTaskEvent({job_task1}, {{rpc::TaskStatus::RUNNING, 1}}, TaskID::Nil(), 1); // Make data loss happens on job 0. - auto data = Mocker::GenTaskEventsDataLoss({{job_task0, 0}}, 0); + auto data = GenTaskEventsDataLoss({{job_task0, 0}}, 0); SyncAddTaskEventData(data); // Job 0 has data loss @@ -1719,7 +1718,7 @@ TEST_F(GcsTaskManagerProfileEventsLimitTest, TestProfileEventsNoLeak) { /* attempt_number */ 0, /* job_id */ 0, GenProfileEvents("event", 1, 1)); - auto events_data = Mocker::GenTaskEventsData(events); + auto events_data = GenTaskEventsData(events); SyncAddTaskEventData(events_data); } diff --git a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc index def15f75e97d..e23fad95e850 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc @@ -21,9 +21,9 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/gcs/tests/gcs_test_util.h" #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc index 40c68497f628..4b4ddcbcfa7b 100644 --- a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc @@ -16,7 +16,7 @@ #include -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" #include "ray/gcs/store_client/in_memory_store_client.h" diff --git a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc index 9261ca5042d6..f89124b3319e 100644 --- a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc +++ b/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc @@ -15,7 +15,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" #include "ray/gcs/store_client/redis_store_client.h" diff --git a/src/ray/gcs/store_client/tests/BUILD.bazel b/src/ray/gcs/store_client/tests/BUILD.bazel index 5e48c8ef39be..b6bbb280fed8 100644 --- a/src/ray/gcs/store_client/tests/BUILD.bazel +++ b/src/ray/gcs/store_client/tests/BUILD.bazel @@ -4,7 +4,7 @@ ray_cc_library( name = "store_client_test_lib", hdrs = ["store_client_test_base.h"], deps = [ - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/store_client", ], ) @@ -114,7 +114,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", diff --git a/src/ray/gcs/store_client/tests/redis_async_context_test.cc b/src/ray/gcs/store_client/tests/redis_async_context_test.cc index 0bb967c55c84..605ded810aa9 100644 --- a/src/ray/gcs/store_client/tests/redis_async_context_test.cc +++ b/src/ray/gcs/store_client/tests/redis_async_context_test.cc @@ -20,7 +20,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/store_client/redis_context.h" #include "ray/util/logging.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/store_client/tests/redis_store_client_test.cc b/src/ray/gcs/store_client/tests/redis_store_client_test.cc index e3d29abaa1cb..454a2a7af2dc 100644 --- a/src/ray/gcs/store_client/tests/redis_store_client_test.cc +++ b/src/ray/gcs/store_client/tests/redis_store_client_test.cc @@ -22,7 +22,7 @@ #include #include -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/store_client/tests/store_client_test_base.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs/store_client/tests/store_client_test_base.h b/src/ray/gcs/store_client/tests/store_client_test_base.h index 0495fff7e24e..558443e63450 100644 --- a/src/ray/gcs/store_client/tests/store_client_test_base.h +++ b/src/ray/gcs/store_client/tests/store_client_test_base.h @@ -26,7 +26,7 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/io_service_pool.h" #include "ray/common/id.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/gcs/store_client/store_client.h" #include "ray/util/logging.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel deleted file mode 100644 index 8485c8c5a794..000000000000 --- a/src/ray/gcs/tests/BUILD.bazel +++ /dev/null @@ -1,14 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "gcs_test_util_lib", - hdrs = [ - "gcs_test_util.h", - ], - deps = [ - "//src/ray/common:test_util", - "//src/ray/gcs:gcs_pb_util", - "//src/ray/protobuf:autoscaler_cc_grpc", - "//src/ray/protobuf:gcs_service_cc_grpc", - ], -) diff --git a/src/ray/gcs/tests/gcs_test_util.h b/src/ray/gcs/tests/gcs_test_util.h deleted file mode 100644 index cbe7486a04c2..000000000000 --- a/src/ray/gcs/tests/gcs_test_util.h +++ /dev/null @@ -1,483 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include -#include -#include -#include -#include - -#include "gmock/gmock.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/bundle_spec.h" -#include "ray/common/placement_group.h" -#include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" -#include "ray/gcs/pb_util.h" -#include "src/ray/protobuf/autoscaler.grpc.pb.h" -#include "src/ray/protobuf/gcs_service.grpc.pb.h" - -namespace ray { - -struct Mocker { - static TaskSpecification GenActorCreationTask( - const JobID &job_id, - int max_restarts, - bool detached, - const std::string &name, - const std::string &ray_namespace, - const rpc::Address &owner_address, - std::unordered_map required_resources = - std::unordered_map(), - std::unordered_map required_placement_resources = - std::unordered_map()) { - TaskSpecBuilder builder; - static rpc::JobConfig kJobConfig; - auto actor_id = ActorID::Of(job_id, RandomTaskId(), 0); - auto task_id = TaskID::ForActorCreationTask(actor_id); - FunctionDescriptor function_descriptor; - function_descriptor = FunctionDescriptorBuilder::BuildPython("", "", "", ""); - builder.SetCommonTaskSpec(task_id, - name + ":" + function_descriptor->CallString(), - Language::PYTHON, - function_descriptor, - job_id, - kJobConfig, - TaskID::Nil(), - 0, - TaskID::Nil(), - owner_address, - 1, - false, - false, - -1, - required_resources, - required_placement_resources, - "", - 0, - TaskID::Nil(), - ""); - rpc::SchedulingStrategy scheduling_strategy; - scheduling_strategy.mutable_default_scheduling_strategy(); - builder.SetActorCreationTaskSpec(actor_id, - {}, - scheduling_strategy, - max_restarts, - /*max_task_retries=*/0, - {}, - 1, - detached, - name, - ray_namespace); - return std::move(builder).ConsumeAndBuild(); - } - - static rpc::CreateActorRequest GenCreateActorRequest( - const JobID &job_id, - int max_restarts = 0, - bool detached = false, - const std::string &name = "", - const std::string &ray_namespace = "") { - rpc::Address owner_address; - owner_address.set_node_id(NodeID::FromRandom().Binary()); - owner_address.set_ip_address("1234"); - owner_address.set_port(5678); - owner_address.set_worker_id(WorkerID::FromRandom().Binary()); - auto actor_creation_task_spec = GenActorCreationTask( - job_id, max_restarts, detached, name, ray_namespace, owner_address); - rpc::CreateActorRequest request; - request.mutable_task_spec()->CopyFrom(actor_creation_task_spec.GetMessage()); - return request; - } - - static rpc::RegisterActorRequest GenRegisterActorRequest( - const JobID &job_id, - int max_restarts = 0, - bool detached = false, - const std::string &name = "", - const std::string &ray_namespace = "test") { - rpc::Address owner_address; - owner_address.set_node_id(NodeID::FromRandom().Binary()); - owner_address.set_ip_address("1234"); - owner_address.set_port(5678); - owner_address.set_worker_id(WorkerID::FromRandom().Binary()); - auto actor_creation_task_spec = GenActorCreationTask( - job_id, max_restarts, detached, name, ray_namespace, owner_address); - rpc::RegisterActorRequest request; - request.mutable_task_spec()->CopyFrom(actor_creation_task_spec.GetMessage()); - return request; - } - - static std::vector> GenBundleSpecifications( - const PlacementGroupID &placement_group_id, - absl::flat_hash_map &unit_resource, - int bundles_size = 1) { - std::vector> bundle_specs; - for (int i = 0; i < bundles_size; i++) { - rpc::Bundle bundle; - auto mutable_bundle_id = bundle.mutable_bundle_id(); - // The bundle index is start from 1. - mutable_bundle_id->set_bundle_index(i + 1); - mutable_bundle_id->set_placement_group_id(placement_group_id.Binary()); - auto mutable_unit_resources = bundle.mutable_unit_resources(); - for (auto &resource : unit_resource) { - mutable_unit_resources->insert({resource.first, resource.second}); - } - bundle_specs.emplace_back(std::make_shared(bundle)); - } - return bundle_specs; - } - - // TODO(@clay4444): Remove this once we did the batch rpc request refactor. - static BundleSpecification GenBundleCreation( - const PlacementGroupID &placement_group_id, - const int bundle_index, - absl::flat_hash_map &unit_resource) { - rpc::Bundle bundle; - auto mutable_bundle_id = bundle.mutable_bundle_id(); - mutable_bundle_id->set_bundle_index(bundle_index); - mutable_bundle_id->set_placement_group_id(placement_group_id.Binary()); - auto mutable_unit_resources = bundle.mutable_unit_resources(); - for (auto &resource : unit_resource) { - mutable_unit_resources->insert({resource.first, resource.second}); - } - return BundleSpecification(bundle); - } - - static PlacementGroupSpecification GenPlacementGroupCreation( - const std::string &name, - std::vector> &bundles, - rpc::PlacementStrategy strategy, - const JobID &job_id, - const ActorID &actor_id) { - PlacementGroupSpecBuilder builder; - - auto placement_group_id = PlacementGroupID::Of(job_id); - builder.SetPlacementGroupSpec(placement_group_id, - name, - bundles, - strategy, - /* is_detached */ false, - /* soft_target_node_id */ NodeID::Nil(), - job_id, - actor_id, - /* is_creator_detached */ false); - return builder.Build(); - } - - static rpc::CreatePlacementGroupRequest GenCreatePlacementGroupRequest( - const std::string name = "", - rpc::PlacementStrategy strategy = rpc::PlacementStrategy::SPREAD, - int bundles_count = 2, - double cpu_num = 1.0, - const JobID job_id = JobID::FromInt(1), - const ActorID &actor_id = ActorID::Nil()) { - rpc::CreatePlacementGroupRequest request; - std::vector> bundles; - std::unordered_map bundle; - bundle["CPU"] = cpu_num; - for (int index = 0; index < bundles_count; ++index) { - bundles.push_back(bundle); - } - auto placement_group_creation_spec = - GenPlacementGroupCreation(name, bundles, strategy, job_id, actor_id); - request.mutable_placement_group_spec()->CopyFrom( - placement_group_creation_spec.GetMessage()); - return request; - } - static std::shared_ptr GenNodeInfo( - uint16_t port = 0, - const std::string address = "127.0.0.1", - const std::string node_name = "Mocker_node") { - auto node = std::make_shared(); - node->set_node_id(NodeID::FromRandom().Binary()); - node->set_node_manager_port(port); - node->set_node_manager_address(address); - node->set_node_name(node_name); - node->set_instance_id("instance_x"); - node->set_state(rpc::GcsNodeInfo::ALIVE); - return node; - } - - static std::shared_ptr GenJobTableData(JobID job_id) { - auto job_table_data = std::make_shared(); - job_table_data->set_job_id(job_id.Binary()); - job_table_data->set_is_dead(false); - job_table_data->set_timestamp(current_sys_time_ms()); - job_table_data->set_driver_ip_address("127.0.0.1"); - rpc::Address address; - address.set_ip_address("127.0.0.1"); - address.set_port(1234); - address.set_node_id(UniqueID::FromRandom().Binary()); - address.set_worker_id(UniqueID::FromRandom().Binary()); - job_table_data->mutable_driver_address()->CopyFrom(address); - job_table_data->set_driver_pid(5667L); - return job_table_data; - } - - static std::shared_ptr GenActorTableData(const JobID &job_id) { - auto actor_table_data = std::make_shared(); - ActorID actor_id = ActorID::Of(job_id, RandomTaskId(), 0); - actor_table_data->set_actor_id(actor_id.Binary()); - actor_table_data->set_job_id(job_id.Binary()); - actor_table_data->set_state(rpc::ActorTableData::ALIVE); - actor_table_data->set_max_restarts(1); - actor_table_data->set_num_restarts(0); - return actor_table_data; - } - - static std::shared_ptr GenErrorTableData(const JobID &job_id) { - auto error_table_data = std::make_shared(); - error_table_data->set_job_id(job_id.Binary()); - return error_table_data; - } - - static std::shared_ptr GenWorkerTableData() { - auto worker_table_data = std::make_shared(); - worker_table_data->set_timestamp(std::time(nullptr)); - return worker_table_data; - } - - static std::shared_ptr GenAddJobRequest( - const JobID &job_id, - const std::string &ray_namespace, - const std::optional &submission_id = std::nullopt, - const std::optional &address = std::nullopt) { - auto job_config_data = std::make_shared(); - job_config_data->set_ray_namespace(ray_namespace); - - auto job_table_data = std::make_shared(); - job_table_data->set_job_id(job_id.Binary()); - job_table_data->mutable_config()->CopyFrom(*job_config_data); - if (address.has_value()) { - job_table_data->mutable_driver_address()->CopyFrom(address.value()); - } else { - rpc::Address dummy_address; - dummy_address.set_port(1234); - dummy_address.set_node_id(NodeID::FromRandom().Binary()); - dummy_address.set_ip_address("123.456.7.8"); - dummy_address.set_worker_id(WorkerID::FromRandom().Binary()); - job_table_data->mutable_driver_address()->CopyFrom(dummy_address); - } - if (submission_id.has_value()) { - job_table_data->mutable_config()->mutable_metadata()->insert( - {"job_submission_id", submission_id.value()}); - } - - auto add_job_request = std::make_shared(); - add_job_request->mutable_data()->CopyFrom(*job_table_data); - return add_job_request; - } - - static rpc::TaskEventData GenTaskEventsData( - const std::vector &task_events, - int32_t num_profile_task_events_dropped = 0, - int32_t num_status_task_events_dropped = 0) { - rpc::TaskEventData data; - for (auto &events : task_events) { - auto new_events = data.add_events_by_task(); - new_events->CopyFrom(events); - } - - for (int i = 0; i < num_status_task_events_dropped; ++i) { - rpc::TaskAttempt rpc_task_attempt; - rpc_task_attempt.set_task_id(RandomTaskId().Binary()); - rpc_task_attempt.set_attempt_number(0); - *(data.add_dropped_task_attempts()) = rpc_task_attempt; - } - - data.set_num_profile_events_dropped(num_profile_task_events_dropped); - data.set_job_id(JobID::FromInt(0).Binary()); - - return data; - } - - static rpc::events::RayEventsData GenRayEventsData( - const std::vector &task_events, - const std::vector &drop_tasks) { - rpc::events::RayEventsData data; - rpc::events::TaskEventsMetadata metadata; - for (const auto &task_attempt : drop_tasks) { - rpc::TaskAttempt rpc_task_attempt; - rpc_task_attempt.set_task_id(task_attempt.first.Binary()); - rpc_task_attempt.set_attempt_number(task_attempt.second); - *(metadata.add_dropped_task_attempts()) = rpc_task_attempt; - } - data.mutable_task_events_metadata()->CopyFrom(metadata); - for (const auto &task_event : task_events) { - rpc::events::RayEvent ray_event; - rpc::events::TaskDefinitionEvent task_definition_event; - task_definition_event.set_task_id(task_event.task_id()); - task_definition_event.set_task_attempt(task_event.attempt_number()); - task_definition_event.set_job_id(task_event.job_id()); - if (task_event.has_task_info()) { - const auto &task_info = task_event.task_info(); - task_definition_event.set_task_type(task_info.type()); - task_definition_event.set_task_name(task_info.name()); - task_definition_event.set_language(task_info.language()); - } - ray_event.set_event_id(task_event.task_id()); - ray_event.set_event_type(rpc::events::RayEvent::TASK_DEFINITION_EVENT); - ray_event.set_message("test"); - ray_event.mutable_task_definition_event()->CopyFrom(task_definition_event); - *(data.add_events()) = ray_event; - } - - return data; - } - - static rpc::TaskEventData GenTaskEventsDataLoss( - const std::vector &drop_tasks, int job_id = 0) { - rpc::TaskEventData data; - for (const auto &task_attempt : drop_tasks) { - rpc::TaskAttempt rpc_task_attempt; - rpc_task_attempt.set_task_id(task_attempt.first.Binary()); - rpc_task_attempt.set_attempt_number(task_attempt.second); - *(data.add_dropped_task_attempts()) = rpc_task_attempt; - } - data.set_job_id(JobID::FromInt(job_id).Binary()); - - return data; - } - - static rpc::ResourceDemand GenResourceDemand( - const absl::flat_hash_map &resource_demands, - int64_t num_ready_queued, - int64_t num_infeasible, - int64_t num_backlog, - const std::vector &label_selectors = {}) { - rpc::ResourceDemand resource_demand; - for (const auto &resource : resource_demands) { - (*resource_demand.mutable_shape())[resource.first] = resource.second; - } - resource_demand.set_num_ready_requests_queued(num_ready_queued); - resource_demand.set_num_infeasible_requests_queued(num_infeasible); - resource_demand.set_backlog_size(num_backlog); - for (const auto &selector : label_selectors) { - *resource_demand.add_label_selectors() = selector; - } - return resource_demand; - } - - static void FillResourcesData( - rpc::ResourcesData &resources_data, - const NodeID &node_id, - const absl::flat_hash_map &available_resources, - const absl::flat_hash_map &total_resources, - int64_t idle_ms = 0, - bool is_draining = false, - int64_t draining_deadline_timestamp_ms = -1) { - resources_data.set_node_id(node_id.Binary()); - for (const auto &resource : available_resources) { - (*resources_data.mutable_resources_available())[resource.first] = resource.second; - } - for (const auto &resource : total_resources) { - (*resources_data.mutable_resources_total())[resource.first] = resource.second; - } - resources_data.set_idle_duration_ms(idle_ms); - resources_data.set_is_draining(is_draining); - resources_data.set_draining_deadline_timestamp_ms(draining_deadline_timestamp_ms); - } - - static void FillResourcesData(rpc::ResourcesData &data, - const std::string &node_id, - std::vector demands) { - auto load_by_shape = data.mutable_resource_load_by_shape(); - auto agg_load = data.mutable_resource_load(); - for (const auto &demand : demands) { - load_by_shape->add_resource_demands()->CopyFrom(demand); - for (const auto &resource : demand.shape()) { - (*agg_load)[resource.first] += - (resource.second * (demand.num_ready_requests_queued() + - demand.num_infeasible_requests_queued())); - } - } - data.set_node_id(node_id); - } - - static std::shared_ptr GenPlacementGroupLoad( - std::vector placement_group_table_data_vec) { - auto placement_group_load = std::make_shared(); - for (auto &placement_group_table_data : placement_group_table_data_vec) { - placement_group_load->add_placement_group_data()->CopyFrom( - placement_group_table_data); - } - return placement_group_load; - } - - static rpc::PlacementGroupTableData GenPlacementGroupTableData( - const PlacementGroupID &placement_group_id, - const JobID &job_id, - const std::vector> &bundles, - const std::vector &nodes, - rpc::PlacementStrategy strategy, - const rpc::PlacementGroupTableData::PlacementGroupState state, - const std::string &name = "", - const ActorID &actor_id = ActorID::Nil()) { - rpc::PlacementGroupTableData placement_group_table_data; - placement_group_table_data.set_placement_group_id(placement_group_id.Binary()); - placement_group_table_data.set_state(state); - placement_group_table_data.set_name(name); - placement_group_table_data.set_strategy(strategy); - RAY_CHECK(bundles.size() == nodes.size()); - size_t i = 0; - for (auto &bundle : bundles) { - // Add unit resources - auto bundle_spec = placement_group_table_data.add_bundles(); - for (auto &resource : bundle) { - (*bundle_spec->mutable_unit_resources())[resource.first] = resource.second; - } - - // Add node id - const auto &node = nodes[i]; - if (!node.empty()) { - bundle_spec->set_node_id(node); - } - - i++; - } - return placement_group_table_data; - } - static rpc::autoscaler::ClusterResourceConstraint GenClusterResourcesConstraint( - const std::vector> &request_resources, - const std::vector &count_array) { - rpc::autoscaler::ClusterResourceConstraint constraint; - RAY_CHECK(request_resources.size() == count_array.size()); - for (size_t i = 0; i < request_resources.size(); i++) { - auto &resource = request_resources[i]; - auto count = count_array[i]; - auto bundle = constraint.add_resource_requests(); - bundle->set_count(count); - bundle->mutable_request()->mutable_resources_bundle()->insert(resource.begin(), - resource.end()); - } - return constraint; - } - // Read all lines of a file into vector vc - static void ReadContentFromFile(std::vector &vc, std::string log_file) { - std::string line; - std::ifstream read_file; - read_file.open(log_file, std::ios::binary); - while (std::getline(read_file, line)) { - vc.push_back(line); - } - read_file.close(); - } -}; - -} // namespace ray diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index 661e52007f1f..fa88ef1be1cb 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -11,7 +11,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:lease", "//src/ray/common:ray_config", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", @@ -58,7 +58,7 @@ ray_cc_test( "//src/ray/common:id", "//src/ray/common:lease", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/raylet:local_lease_manager", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_scheduler", diff --git a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc index 8d6c3db5890f..3347785c7407 100644 --- a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc @@ -31,7 +31,7 @@ #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/raylet/local_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/tests/util.h" diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc index f4b0d92bdaed..3237971f00de 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc @@ -25,7 +25,7 @@ #include "gtest/gtest.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/scheduling/scheduling_ids.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index f0b0cbc877ff..25321d7d3fab 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -70,7 +70,6 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:id", - "//src/ray/gcs/tests:gcs_test_util_lib", "//src/ray/raylet:placement_group_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -102,7 +101,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:lease", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/raylet:lease_dependency_manager", "@com_google_googletest//:gtest_main", ], @@ -119,7 +118,7 @@ ray_cc_test( "//src/ray/common:id", "//src/ray/common:lease", "//src/ray/common:task_common", - "//src/ray/common:test_util", + "//src/ray/common:test_utils", "//src/ray/raylet:local_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", diff --git a/src/ray/raylet/tests/lease_dependency_manager_test.cc b/src/ray/raylet/tests/lease_dependency_manager_test.cc index d240d45566db..906472c71d46 100644 --- a/src/ray/raylet/tests/lease_dependency_manager_test.cc +++ b/src/ray/raylet/tests/lease_dependency_manager_test.cc @@ -23,7 +23,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/object_manager/object_manager.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" namespace ray { diff --git a/src/ray/raylet/tests/local_lease_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc index d877762a9dc0..0d4a829785f0 100644 --- a/src/ray/raylet/tests/local_lease_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -30,7 +30,7 @@ #include "ray/common/id.h" #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" -#include "ray/common/test_util.h" +#include "ray/common/test_utils.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/tests/util.h" diff --git a/src/ray/raylet/tests/placement_group_resource_manager_test.cc b/src/ray/raylet/tests/placement_group_resource_manager_test.cc index 9247c75ffb7c..c37fdc477cc0 100644 --- a/src/ray/raylet/tests/placement_group_resource_manager_test.cc +++ b/src/ray/raylet/tests/placement_group_resource_manager_test.cc @@ -12,24 +12,60 @@ // See the License for the specific language governing permissions and // limitations under the License. -// clang-format off #include "ray/raylet/placement_group_resource_manager.h" #include -#include -#include #include +#include +#include #include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_client/gcs_client.h" #include "ray/common/bundle_spec.h" #include "ray/common/id.h" #include "ray/common/scheduling/resource_set.h" -#include "ray/gcs/tests/gcs_test_util.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" -// clang-format on namespace ray { +namespace { + +BundleSpecification GenBundleCreation( + const PlacementGroupID &placement_group_id, + const int bundle_index, + const absl::flat_hash_map &unit_resource) { + rpc::Bundle bundle; + auto mutable_bundle_id = bundle.mutable_bundle_id(); + mutable_bundle_id->set_bundle_index(bundle_index); + mutable_bundle_id->set_placement_group_id(placement_group_id.Binary()); + auto mutable_unit_resources = bundle.mutable_unit_resources(); + for (auto &resource : unit_resource) { + mutable_unit_resources->insert({resource.first, resource.second}); + } + return BundleSpecification(bundle); +} + +std::vector> GenBundleSpecifications( + const PlacementGroupID &placement_group_id, + const absl::flat_hash_map &unit_resource, + int bundles_size = 1) { + std::vector> bundle_specs; + for (int i = 0; i < bundles_size; i++) { + rpc::Bundle bundle; + auto mutable_bundle_id = bundle.mutable_bundle_id(); + // The bundle index is start from 1. + mutable_bundle_id->set_bundle_index(i + 1); + mutable_bundle_id->set_placement_group_id(placement_group_id.Binary()); + auto mutable_unit_resources = bundle.mutable_unit_resources(); + for (auto &resource : unit_resource) { + mutable_unit_resources->insert({resource.first, resource.second}); + } + bundle_specs.emplace_back(std::make_shared(bundle)); + } + return bundle_specs; +} + +} // namespace + class NewPlacementGroupResourceManagerTest : public ::testing::Test { public: instrumented_io_context io_context; @@ -150,7 +186,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewPrepareBundleResource) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 1); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 1); /// 2. init local available resource. InitLocalAvailableResource(unit_resource); /// 3. prepare bundle resource. @@ -165,7 +201,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 2.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 1); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 1); /// 2. init local available resource. absl::flat_hash_map init_unit_resource; init_unit_resource.insert({"CPU", 1.0}); @@ -179,9 +215,9 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewPrepareBundleDuringDraining) absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); auto group1_id = PlacementGroupID::Of(JobID::FromInt(1)); - auto bundle1_specs = Mocker::GenBundleSpecifications(group1_id, unit_resource, 1); + auto bundle1_specs = GenBundleSpecifications(group1_id, unit_resource, 1); auto group2_id = PlacementGroupID::Of(JobID::FromInt(2)); - auto bundle2_specs = Mocker::GenBundleSpecifications(group2_id, unit_resource, 1); + auto bundle2_specs = GenBundleSpecifications(group2_id, unit_resource, 1); /// 2. init local available resource. absl::flat_hash_map init_unit_resource; init_unit_resource.insert({"CPU", 2.0}); @@ -218,7 +254,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewCommitBundleResource) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 1); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 1); /// 2. init local available resource. InitLocalAvailableResource(unit_resource); /// 3. prepare and commit bundle resource. @@ -247,7 +283,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewReturnBundleResource) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_spec = Mocker::GenBundleCreation(group_id, 1, unit_resource); + auto bundle_spec = GenBundleCreation(group_id, 1, unit_resource); /// 2. init local available resource. InitLocalAvailableResource(unit_resource); /// 3. prepare and commit bundle resource. @@ -268,8 +304,8 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewMultipleBundlesCommitAndRetu auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto first_bundle_spec = Mocker::GenBundleCreation(group_id, 1, unit_resource); - auto second_bundle_spec = Mocker::GenBundleCreation(group_id, 2, unit_resource); + auto first_bundle_spec = GenBundleCreation(group_id, 1, unit_resource); + auto second_bundle_spec = GenBundleCreation(group_id, 2, unit_resource); /// 2. init local available resource. absl::flat_hash_map init_unit_resource; init_unit_resource.insert({"CPU", 2.0}); @@ -335,7 +371,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewIdempotencyWithMultiPrepare) auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 1); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 1); /// 2. init local available resource. absl::flat_hash_map available_resource = { std::make_pair("CPU", 3.0)}; @@ -357,7 +393,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewIdempotencyWithRandomOrder) auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_spec = Mocker::GenBundleCreation(group_id, 1, unit_resource); + auto bundle_spec = GenBundleCreation(group_id, 1, unit_resource); /// 2. init local available resource. absl::flat_hash_map available_resource = { std::make_pair("CPU", 3.0)}; @@ -413,7 +449,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestPreparedResourceBatched) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 4); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 4); // 2. init local available resource with 3 CPUs. absl::flat_hash_map available_resource = { std::make_pair("CPU", 3.0)}; @@ -472,7 +508,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestCommiteResourceBatched) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"GPU", 2.0}); - auto bundle_specs = Mocker::GenBundleSpecifications(group_id, unit_resource, 4); + auto bundle_specs = GenBundleSpecifications(group_id, unit_resource, 4); // 2. init local available resource with 4 CPUs. absl::flat_hash_map available_resource = { std::make_pair("GPU", 10.0)}; @@ -520,7 +556,7 @@ TEST_F(NewPlacementGroupResourceManagerTest, TestNewReturnBundleFailure) { auto group_id = PlacementGroupID::Of(JobID::FromInt(1)); absl::flat_hash_map unit_resource; unit_resource.insert({"CPU", 1.0}); - auto bundle_spec = Mocker::GenBundleCreation(group_id, 1, unit_resource); + auto bundle_spec = GenBundleCreation(group_id, 1, unit_resource); /// init local available resource. InitLocalAvailableResource(unit_resource); /// prepare and commit bundle resource. From 33664bad8d035f71a245a922074bb551e3f997d8 Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Tue, 2 Sep 2025 22:47:02 +0530 Subject: [PATCH 0973/1566] Enable ruff lint for `python/ray/tests/` (#56079) Signed-off-by: czgdp1807 Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- pyproject.toml | 1 - python/ray/tests/accelerators/mock_pynvml.py | 3 +- .../tests/accelerators/test_accelerators.py | 1 + python/ray/tests/accelerators/test_amd_gpu.py | 9 ++- python/ray/tests/accelerators/test_hpu.py | 5 +- .../ray/tests/accelerators/test_intel_gpu.py | 11 ++- python/ray/tests/accelerators/test_neuron.py | 5 +- python/ray/tests/accelerators/test_npu.py | 3 +- .../ray/tests/accelerators/test_nvidia_gpu.py | 1 + python/ray/tests/accelerators/test_rbln.py | 7 +- python/ray/tests/accelerators/test_tpu.py | 6 +- python/ray/tests/autoscaler/test_providers.py | 8 +- python/ray/tests/autoscaler/util.py | 1 + python/ray/tests/autoscaler_test_utils.py | 2 +- python/ray/tests/aws/conftest.py | 5 +- .../tests/aws/test_aws_batch_tag_update.py | 3 +- python/ray/tests/aws/utils/constants.py | 4 +- python/ray/tests/aws/utils/helpers.py | 15 ++-- python/ray/tests/aws/utils/stubs.py | 33 ++++---- python/ray/tests/chaos/potato_passer.py | 3 +- python/ray/tests/chaos/streaming_llm.py | 4 +- python/ray/tests/conftest.py | 27 ++++--- python/ray/tests/conftest_docker.py | 10 ++- .../ray/tests/gcp/test_gcp_node_provider.py | 25 +++--- .../tests/gcp/test_gcp_tpu_command_runner.py | 6 +- python/ray/tests/horovod/horovod_example.py | 7 +- python/ray/tests/horovod/test_horovod.py | 7 +- .../scripts/non_terminated_nodes_count.py | 2 +- .../tests/kuberay/scripts/scale_up_custom.py | 3 +- .../tests/kuberay/test_autoscaling_config.py | 12 +-- .../ray/tests/kuberay/test_autoscaling_e2e.py | 8 +- .../kuberay/test_kuberay_node_provider.py | 17 ++-- python/ray/tests/kuberay/utils.py | 4 +- python/ray/tests/ludwig/ludwig_test_utils.py | 6 +- python/ray/tests/ludwig/test_ludwig.py | 29 ++++--- python/ray/tests/mock_s3_server.py | 5 +- python/ray/tests/modin/modin_test_utils.py | 8 +- python/ray/tests/modin/test_modin.py | 9 ++- .../tests/runtime_env_container/test_job.py | 2 +- .../test_log_file_exists.py | 9 ++- .../runtime_env_container/test_put_get.py | 6 +- .../runtime_env_container/test_serve_basic.py | 1 + .../test_serve_telemetry.py | 6 +- .../test_shared_memory.py | 7 +- ...xit_intended_system_exit_and_user_error.py | 6 +- python/ray/tests/spark/test_GPU.py | 17 ++-- python/ray/tests/spark/test_basic.py | 27 +++---- .../ray/tests/spark/test_databricks_hook.py | 10 +-- .../tests/spark/test_multicores_per_task.py | 4 +- python/ray/tests/spark/test_utils.py | 15 ++-- python/ray/tests/test_actor.py | 11 +-- python/ray/tests/test_actor_advanced.py | 6 +- .../ray/tests/test_actor_bounded_threads.py | 10 +-- python/ray/tests/test_actor_cancel.py | 5 +- python/ray/tests/test_actor_failures.py | 10 +-- python/ray/tests/test_actor_lifetime.py | 6 +- .../test_actor_lineage_reconstruction.py | 5 +- python/ray/tests/test_actor_pool.py | 1 + python/ray/tests/test_actor_retry_2.py | 2 +- python/ray/tests/test_actor_state_metrics.py | 5 +- python/ray/tests/test_advanced.py | 6 +- python/ray/tests/test_advanced_2.py | 2 +- python/ray/tests/test_advanced_3.py | 5 +- python/ray/tests/test_advanced_4.py | 2 +- python/ray/tests/test_advanced_6.py | 5 +- python/ray/tests/test_advanced_7.py | 2 +- python/ray/tests/test_advanced_8.py | 5 +- python/ray/tests/test_advanced_9.py | 15 ++-- python/ray/tests/test_annotations.py | 2 +- python/ray/tests/test_async.py | 3 +- python/ray/tests/test_asyncio.py | 2 +- python/ray/tests/test_asyncio_cluster.py | 2 +- python/ray/tests/test_autoscaler.py | 22 +++-- .../tests/test_autoscaler_drain_node_api.py | 4 +- python/ray/tests/test_autoscaler_e2e.py | 6 +- .../tests/test_autoscaler_fake_multinode.py | 5 +- python/ray/tests/test_autoscaler_util.py | 2 +- python/ray/tests/test_autoscaler_yaml.py | 2 +- python/ray/tests/test_autoscaling_policy.py | 41 +++++----- .../ray/tests/test_baseexceptionandgroup.py | 5 +- python/ray/tests/test_basic.py | 3 +- python/ray/tests/test_basic_5.py | 8 +- .../test_batch_node_provider_integration.py | 11 +-- .../tests/test_batch_node_provider_unit.py | 24 +++--- python/ray/tests/test_bounded_unix_sockets.py | 7 +- .../ray/tests/test_bundle_label_selector.py | 5 +- python/ray/tests/test_cancel.py | 13 ++- python/ray/tests/test_channel.py | 8 +- .../ray/tests/test_channel_serialization.py | 5 +- python/ray/tests/test_chaos.py | 18 ++--- python/ray/tests/test_cli.py | 10 +-- python/ray/tests/test_client.py | 4 +- python/ray/tests/test_client_builder.py | 2 +- python/ray/tests/test_client_init.py | 12 ++- python/ray/tests/test_client_metadata.py | 3 +- python/ray/tests/test_client_multi.py | 2 + python/ray/tests/test_client_proxy.py | 6 +- python/ray/tests/test_client_reconnect.py | 16 ++-- python/ray/tests/test_client_warnings.py | 2 +- python/ray/tests/test_command_runner.py | 6 +- python/ray/tests/test_component_failures_2.py | 2 +- python/ray/tests/test_component_failures_3.py | 2 +- python/ray/tests/test_concurrency_group.py | 2 +- python/ray/tests/test_coordinator_server.py | 26 +++--- .../tests/test_core_worker_fault_tolerance.py | 3 +- python/ray/tests/test_cross_language.py | 3 +- python/ray/tests/test_dashboard.py | 5 +- python/ray/tests/test_dashboard_profiler.py | 7 +- python/ray/tests/test_debug_tools.py | 2 +- python/ray/tests/test_distributed_sort.py | 3 +- python/ray/tests/test_draining.py | 7 +- python/ray/tests/test_exit_observability.py | 2 +- .../ray/tests/test_experimental_collective.py | 4 +- python/ray/tests/test_failure.py | 6 +- python/ray/tests/test_failure_2.py | 4 +- python/ray/tests/test_failure_3.py | 15 ++-- python/ray/tests/test_failure_4.py | 11 +-- python/ray/tests/test_gcs_fault_tolerance.py | 23 +++--- python/ray/tests/test_gcs_ha_e2e_2.py | 4 +- python/ray/tests/test_gcs_pubsub.py | 5 +- python/ray/tests/test_gcs_utils.py | 8 +- python/ray/tests/test_generators.py | 15 ++-- python/ray/tests/test_get_or_create_actor.py | 3 +- python/ray/tests/test_global_gc.py | 2 +- python/ray/tests/test_global_state.py | 8 +- python/ray/tests/test_gpu_objects_gloo.py | 15 ++-- python/ray/tests/test_gpu_objects_nccl.py | 4 +- python/ray/tests/test_gpu_objects_nixl.py | 4 +- .../ray/tests/test_grpc_client_credentials.py | 2 +- python/ray/tests/test_healthcheck.py | 3 +- python/ray/tests/test_ids.py | 16 ++-- python/ray/tests/test_iter.py | 11 +-- python/ray/tests/test_job.py | 17 ++-- python/ray/tests/test_joblib.py | 24 +++--- .../ray/tests/test_kill_raylet_signal_log.py | 5 +- python/ray/tests/test_kill_subprocesses.py | 15 ++-- python/ray/tests/test_label_utils.py | 8 +- python/ray/tests/test_list_actors.py | 3 +- python/ray/tests/test_list_actors_2.py | 3 +- python/ray/tests/test_list_actors_3.py | 3 +- python/ray/tests/test_list_actors_4.py | 3 +- python/ray/tests/test_logging.py | 26 +++--- python/ray/tests/test_logging_2.py | 9 ++- python/ray/tests/test_memory_deadlock.py | 5 +- python/ray/tests/test_memory_pressure.py | 11 +-- python/ray/tests/test_memory_scheduling.py | 2 +- python/ray/tests/test_memstat.py | 3 +- python/ray/tests/test_metrics.py | 9 ++- python/ray/tests/test_metrics_agent.py | 42 +++++----- python/ray/tests/test_metrics_agent_2.py | 45 +++++------ python/ray/tests/test_metrics_head.py | 8 +- python/ray/tests/test_minimal_install.py | 7 +- python/ray/tests/test_mpi.py | 11 ++- python/ray/tests/test_multi_node.py | 3 +- python/ray/tests/test_multi_node_3.py | 7 +- python/ray/tests/test_multi_tenancy.py | 2 +- python/ray/tests/test_multinode_failures.py | 2 +- python/ray/tests/test_multiprocessing.py | 5 +- .../tests/test_multiprocessing_standalone.py | 3 +- python/ray/tests/test_nccl_channel.py | 10 +-- python/ray/tests/test_network_failure_e2e.py | 8 +- python/ray/tests/test_node_death.py | 2 +- .../test_node_label_scheduling_strategy.py | 7 +- python/ray/tests/test_node_labels.py | 9 ++- python/ray/tests/test_node_manager.py | 9 +-- ...test_node_provider_availability_tracker.py | 10 +-- python/ray/tests/test_numba.py | 5 +- python/ray/tests/test_object_assign_owner.py | 2 +- python/ray/tests/test_object_spilling.py | 18 ++--- python/ray/tests/test_object_spilling_2.py | 5 +- python/ray/tests/test_object_store_metrics.py | 4 +- .../test_open_telemetry_metric_recorder.py | 4 +- python/ray/tests/test_placement_group.py | 12 +-- python/ray/tests/test_placement_group_2.py | 2 +- python/ray/tests/test_placement_group_3.py | 6 +- python/ray/tests/test_placement_group_4.py | 9 ++- python/ray/tests/test_placement_group_5.py | 16 ++-- .../tests/test_placement_group_failover.py | 10 ++- .../test_placement_group_mini_integration.py | 4 +- python/ray/tests/test_plasma_unlimited.py | 11 +-- .../ray/tests/test_pydantic_serialization.py | 24 +++--- python/ray/tests/test_queue.py | 4 +- python/ray/tests/test_ray_debugger.py | 6 +- python/ray/tests/test_ray_init.py | 14 ++-- python/ray/tests/test_ray_init_2.py | 12 +-- python/ray/tests/test_ray_shutdown.py | 16 ++-- python/ray/tests/test_reconstruction_2.py | 7 +- .../tests/test_reconstruction_stress_spill.py | 2 +- python/ray/tests/test_redis_tls.py | 4 +- python/ray/tests/test_reference_counting.py | 2 +- python/ray/tests/test_reference_counting_2.py | 6 +- .../test_reference_counting_standalone.py | 4 +- .../tests/test_resource_demand_scheduler.py | 20 ++--- .../tests/test_resource_isolation_config.py | 3 +- python/ray/tests/test_resource_metrics.py | 4 +- python/ray/tests/test_response_cache.py | 6 +- python/ray/tests/test_runtime_context.py | 4 +- python/ray/tests/test_runtime_env_agent.py | 8 +- .../ray/tests/test_runtime_env_complicated.py | 19 +++-- .../tests/test_runtime_env_conda_and_pip.py | 28 +++---- .../tests/test_runtime_env_conda_and_pip_2.py | 5 +- .../tests/test_runtime_env_conda_and_pip_3.py | 6 +- .../tests/test_runtime_env_conda_and_pip_4.py | 6 +- .../tests/test_runtime_env_conda_and_pip_5.py | 1 + .../ray/tests/test_runtime_env_container.py | 3 +- python/ray/tests/test_runtime_env_failure.py | 3 +- .../tests/test_runtime_env_fork_process.py | 2 +- .../tests/test_runtime_env_get_wheel_names.py | 3 +- .../ray/tests/test_runtime_env_packaging.py | 10 +-- python/ray/tests/test_runtime_env_profiler.py | 7 +- .../tests/test_runtime_env_py_executable.py | 3 +- .../ray/tests/test_runtime_env_ray_minimal.py | 1 + .../ray/tests/test_runtime_env_setup_func.py | 8 +- .../ray/tests/test_runtime_env_standalone.py | 2 +- .../ray/tests/test_runtime_env_strong_type.py | 7 +- python/ray/tests/test_runtime_env_uv.py | 5 +- python/ray/tests/test_runtime_env_uv_run.py | 3 +- .../ray/tests/test_runtime_env_working_dir.py | 6 +- .../tests/test_runtime_env_working_dir_2.py | 15 ++-- .../tests/test_runtime_env_working_dir_3.py | 8 +- .../tests/test_runtime_env_working_dir_4.py | 4 +- python/ray/tests/test_scheduling.py | 14 ++-- python/ray/tests/test_scheduling_2.py | 6 +- python/ray/tests/test_shuffle.py | 5 +- python/ray/tests/test_state_api.py | 81 +++++++++---------- python/ray/tests/test_state_api_2.py | 15 ++-- python/ray/tests/test_state_api_log.py | 26 +++--- python/ray/tests/test_state_api_summary.py | 41 +++++----- python/ray/tests/test_streaming_generator.py | 12 +-- .../ray/tests/test_streaming_generator_2.py | 11 +-- .../ray/tests/test_streaming_generator_3.py | 6 +- .../ray/tests/test_streaming_generator_4.py | 13 +-- .../test_streaming_generator_backpressure.py | 9 ++- python/ray/tests/test_stress.py | 4 +- python/ray/tests/test_symmetric_run.py | 8 +- python/ray/tests/test_task_events.py | 17 ++-- python/ray/tests/test_task_events_2.py | 18 +++-- python/ray/tests/test_task_events_3.py | 3 +- python/ray/tests/test_task_metrics.py | 1 - .../tests/test_task_metrics_reconstruction.py | 3 +- python/ray/tests/test_tls_auth.py | 2 +- python/ray/tests/test_top_level_api.py | 2 +- python/ray/tests/test_tqdm.py | 2 +- python/ray/tests/test_traceback.py | 2 +- python/ray/tests/test_typing.py | 1 - python/ray/tests/test_unavailable_actors.py | 10 +-- python/ray/tests/test_util_helpers.py | 6 +- python/ray/tests/test_utils.py | 7 +- python/ray/tests/test_wait.py | 8 +- python/ray/tests/test_widgets.py | 2 +- python/ray/tests/test_worker_capping.py | 3 +- .../tests/test_worker_graceful_shutdown.py | 3 +- python/ray/tests/test_worker_state.py | 4 +- .../tests/typing_files/check_typing_good.py | 3 +- .../unit/test_node_affinity_validation.py | 3 +- .../unit/test_resource_and_label_spec.py | 8 +- python/ray/tests/unit/test_runtime_env.py | 13 ++- python/ray/tests/unit/test_runtime_env_uv.py | 7 +- .../tests/unit/test_runtime_env_validation.py | 18 ++--- .../tests/vsphere/test_cluster_operator.py | 11 ++- .../tests/vsphere/test_vmray_node_provider.py | 5 +- 262 files changed, 1122 insertions(+), 1054 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 28358c2a9218..189a39b5d48e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,7 +44,7 @@ repos: args: [ --fix, --exit-non-zero-on-fix ] - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] - files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/' + files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/|^python/ray/tests/' - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" diff --git a/pyproject.toml b/pyproject.toml index 765fd83f3423..70e1ee4249aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,7 +65,6 @@ afterray = ["psutil", "setproctitle"] "python/ray/setup-dev.py" = ["I"] "python/ray/cloudpickle/*" = ["I"] "python/ray/dag/__init__.py" = ["I"] -"python/ray/tests/*" = ["I"] "python/ray/util/*" = ["I"] "python/ray/workers/*" = ["I"] "python/ray/workflow/*" = ["I"] diff --git a/python/ray/tests/accelerators/mock_pynvml.py b/python/ray/tests/accelerators/mock_pynvml.py index 6240961aea4b..24079a456d52 100644 --- a/python/ray/tests/accelerators/mock_pynvml.py +++ b/python/ray/tests/accelerators/mock_pynvml.py @@ -1,7 +1,8 @@ -import pytest from typing import List from unittest.mock import patch +import pytest + import ray._private.thirdparty.pynvml as pynvml diff --git a/python/ray/tests/accelerators/test_accelerators.py b/python/ray/tests/accelerators/test_accelerators.py index 80c1ef6ebf57..ac79765e88a7 100644 --- a/python/ray/tests/accelerators/test_accelerators.py +++ b/python/ray/tests/accelerators/test_accelerators.py @@ -1,4 +1,5 @@ import sys + import pytest from ray.util import accelerators diff --git a/python/ray/tests/accelerators/test_amd_gpu.py b/python/ray/tests/accelerators/test_amd_gpu.py index 1449d392b5b3..a1b13e575713 100644 --- a/python/ray/tests/accelerators/test_amd_gpu.py +++ b/python/ray/tests/accelerators/test_amd_gpu.py @@ -1,11 +1,14 @@ import os import sys -import pytest from unittest.mock import patch +import pytest + import ray -from ray._private.accelerators import AMDGPUAcceleratorManager -from ray._private.accelerators import get_accelerator_manager_for_resource +from ray._private.accelerators import ( + AMDGPUAcceleratorManager, + get_accelerator_manager_for_resource, +) @pytest.mark.parametrize( diff --git a/python/ray/tests/accelerators/test_hpu.py b/python/ray/tests/accelerators/test_hpu.py index e1a359051409..f6665c3001ed 100644 --- a/python/ray/tests/accelerators/test_hpu.py +++ b/python/ray/tests/accelerators/test_hpu.py @@ -1,10 +1,11 @@ import os import sys -import pytest from unittest.mock import patch +import pytest + import ray -from ray._private.accelerators import hpu, HPUAcceleratorManager +from ray._private.accelerators import HPUAcceleratorManager, hpu from ray.util.placement_group import placement_group from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy diff --git a/python/ray/tests/accelerators/test_intel_gpu.py b/python/ray/tests/accelerators/test_intel_gpu.py index 93dc8843bbdf..b74dd5296265 100644 --- a/python/ray/tests/accelerators/test_intel_gpu.py +++ b/python/ray/tests/accelerators/test_intel_gpu.py @@ -1,12 +1,15 @@ import os import sys -import pytest from unittest.mock import patch +import pytest + import ray -from ray._private.accelerators import IntelGPUAcceleratorManager as Accelerator -from ray._private.accelerators import get_accelerator_manager_for_resource -from ray.util.accelerators import INTEL_MAX_1550, INTEL_MAX_1100 +from ray._private.accelerators import ( + IntelGPUAcceleratorManager as Accelerator, + get_accelerator_manager_for_resource, +) +from ray.util.accelerators import INTEL_MAX_1100, INTEL_MAX_1550 def test_visible_intel_gpu_ids(shutdown_only): diff --git a/python/ray/tests/accelerators/test_neuron.py b/python/ray/tests/accelerators/test_neuron.py index 75443ec4ae11..19ba76d3d3e3 100644 --- a/python/ray/tests/accelerators/test_neuron.py +++ b/python/ray/tests/accelerators/test_neuron.py @@ -1,8 +1,9 @@ -import sys import subprocess -import pytest +import sys from unittest.mock import patch +import pytest + import ray from ray._private.accelerators import NeuronAcceleratorManager diff --git a/python/ray/tests/accelerators/test_npu.py b/python/ray/tests/accelerators/test_npu.py index 5c79d4d9c185..51cae14422b5 100644 --- a/python/ray/tests/accelerators/test_npu.py +++ b/python/ray/tests/accelerators/test_npu.py @@ -1,8 +1,9 @@ import os import sys -import pytest from unittest.mock import patch +import pytest + import ray from ray._private.accelerators import NPUAcceleratorManager as Accelerator diff --git a/python/ray/tests/accelerators/test_nvidia_gpu.py b/python/ray/tests/accelerators/test_nvidia_gpu.py index 035a866bfcbf..10c2065d3066 100644 --- a/python/ray/tests/accelerators/test_nvidia_gpu.py +++ b/python/ray/tests/accelerators/test_nvidia_gpu.py @@ -1,4 +1,5 @@ import sys + import pytest from ray._private.accelerators import NvidiaGPUAcceleratorManager diff --git a/python/ray/tests/accelerators/test_rbln.py b/python/ray/tests/accelerators/test_rbln.py index fa98927c346f..37865bff1392 100644 --- a/python/ray/tests/accelerators/test_rbln.py +++ b/python/ray/tests/accelerators/test_rbln.py @@ -1,11 +1,12 @@ -import pytest import os import sys +import pytest + from ray._private.accelerators.rbln import ( - RBLNAcceleratorManager, - RBLN_RT_VISIBLE_DEVICES_ENV_VAR, NOSET_RBLN_RT_VISIBLE_DEVICES_ENV_VAR, + RBLN_RT_VISIBLE_DEVICES_ENV_VAR, + RBLNAcceleratorManager, ) diff --git a/python/ray/tests/accelerators/test_tpu.py b/python/ray/tests/accelerators/test_tpu.py index f13f27ffea80..3f2c53286996 100644 --- a/python/ray/tests/accelerators/test_tpu.py +++ b/python/ray/tests/accelerators/test_tpu.py @@ -1,13 +1,13 @@ import os import sys from unittest import mock +from unittest.mock import patch + import pytest import requests -from unittest.mock import patch import ray -from ray._private.accelerators import TPUAcceleratorManager -from ray._private.accelerators import tpu +from ray._private.accelerators import TPUAcceleratorManager, tpu from ray.tests.conftest import _ray_start_cluster diff --git a/python/ray/tests/autoscaler/test_providers.py b/python/ray/tests/autoscaler/test_providers.py index b4e0a8c87676..85dd8b68171a 100644 --- a/python/ray/tests/autoscaler/test_providers.py +++ b/python/ray/tests/autoscaler/test_providers.py @@ -1,10 +1,12 @@ +import unittest + +import yaml + from ray.autoscaler._private.providers import ( + _DEFAULT_CONFIGS, _NODE_PROVIDERS, _PROVIDER_PRETTY_NAMES, - _DEFAULT_CONFIGS, ) -import unittest -import yaml class TestProviders(unittest.TestCase): diff --git a/python/ray/tests/autoscaler/util.py b/python/ray/tests/autoscaler/util.py index 426ff3662402..a6631f3d2a31 100644 --- a/python/ray/tests/autoscaler/util.py +++ b/python/ray/tests/autoscaler/util.py @@ -1,5 +1,6 @@ import unittest from unittest.mock import Mock + from ray.autoscaler._private.util import get_per_node_breakdown_as_dict diff --git a/python/ray/tests/autoscaler_test_utils.py b/python/ray/tests/autoscaler_test_utils.py index 8cbcebd6ac2a..d0a0d39e567a 100644 --- a/python/ray/tests/autoscaler_test_utils.py +++ b/python/ray/tests/autoscaler_test_utils.py @@ -1,8 +1,8 @@ import re import threading - from subprocess import CalledProcessError from typing import Any, Dict, List, Optional + from ray.autoscaler.node_provider import NodeProvider diff --git a/python/ray/tests/aws/conftest.py b/python/ray/tests/aws/conftest.py index ed3a6a4b71ad..8f63e619cea9 100644 --- a/python/ray/tests/aws/conftest.py +++ b/python/ray/tests/aws/conftest.py @@ -1,9 +1,8 @@ import pytest +from botocore.stub import Stubber +from ray.autoscaler._private.aws.utils import client_cache, resource_cache from ray.autoscaler._private.constants import BOTO_MAX_RETRIES -from ray.autoscaler._private.aws.utils import resource_cache, client_cache - -from botocore.stub import Stubber @pytest.fixture() diff --git a/python/ray/tests/aws/test_aws_batch_tag_update.py b/python/ray/tests/aws/test_aws_batch_tag_update.py index a9bcd45ffab5..3bd39c0a4ef0 100644 --- a/python/ray/tests/aws/test_aws_batch_tag_update.py +++ b/python/ray/tests/aws/test_aws_batch_tag_update.py @@ -6,8 +6,7 @@ import pytest -from ray.autoscaler._private.aws.node_provider import AWSNodeProvider -from ray.autoscaler._private.aws.node_provider import TAG_BATCH_DELAY +from ray.autoscaler._private.aws.node_provider import TAG_BATCH_DELAY, AWSNodeProvider def mock_create_tags(provider, batch_updates): diff --git a/python/ray/tests/aws/utils/constants.py b/python/ray/tests/aws/utils/constants.py index b92fc5e45ea0..7b0ee9eca340 100644 --- a/python/ray/tests/aws/utils/constants.py +++ b/python/ray/tests/aws/utils/constants.py @@ -1,11 +1,11 @@ import copy -import ray from datetime import datetime +import ray from ray.autoscaler.tags import ( + NODE_KIND_HEAD, TAG_RAY_LAUNCH_CONFIG, TAG_RAY_NODE_KIND, - NODE_KIND_HEAD, TAG_RAY_USER_NODE_TYPE, ) diff --git a/python/ray/tests/aws/utils/helpers.py b/python/ray/tests/aws/utils/helpers.py index 12476cd6649c..9a3825634896 100644 --- a/python/ray/tests/aws/utils/helpers.py +++ b/python/ray/tests/aws/utils/helpers.py @@ -1,23 +1,24 @@ +import copy import os +from typing import Any, Dict + import yaml -import ray -import copy -from typing import Dict, Any +import ray +from ray.autoscaler._private.aws.cloudwatch.cloudwatch_helper import CloudwatchHelper from ray.autoscaler._private.aws.node_provider import AWSNodeProvider +from ray.autoscaler._private.commands import prepare_config, validate_config from ray.autoscaler.tags import ( - TAG_RAY_NODE_KIND, NODE_KIND_HEAD, NODE_KIND_WORKER, - TAG_RAY_USER_NODE_TYPE, TAG_RAY_CLUSTER_NAME, + TAG_RAY_NODE_KIND, + TAG_RAY_USER_NODE_TYPE, ) -from ray.autoscaler._private.commands import prepare_config, validate_config from ray.tests.aws.utils.constants import ( DEFAULT_CLUSTER_NAME, DEFAULT_NODE_PROVIDER_INSTANCE_TAGS, ) -from ray.autoscaler._private.aws.cloudwatch.cloudwatch_helper import CloudwatchHelper def get_aws_example_config_file_path(file_name): diff --git a/python/ray/tests/aws/utils/stubs.py b/python/ray/tests/aws/utils/stubs.py index a95b65cd9fdb..11c625c5b588 100644 --- a/python/ray/tests/aws/utils/stubs.py +++ b/python/ray/tests/aws/utils/stubs.py @@ -1,33 +1,32 @@ -from typing import Dict, List -import ray import copy import json - +from typing import Dict, List +from unittest import mock from uuid import uuid4 + +from botocore.stub import ANY + +import ray +from ray.autoscaler._private.aws.cloudwatch.cloudwatch_helper import ( + CLOUDWATCH_AGENT_INSTALLED_TAG, + CLOUDWATCH_CONFIG_HASH_TAG_BASE, +) +from ray.autoscaler._private.aws.config import key_pair +from ray.autoscaler.tags import NODE_KIND_HEAD, TAG_RAY_NODE_KIND from ray.tests.aws.utils import helpers from ray.tests.aws.utils.constants import ( + A_THOUSAND_SUBNETS_IN_DIFFERENT_VPCS, + DEFAULT_CLUSTER_NAME, DEFAULT_INSTANCE_PROFILE, DEFAULT_KEY_PAIR, - DEFAULT_SUBNET, - A_THOUSAND_SUBNETS_IN_DIFFERENT_VPCS, DEFAULT_LT, + DEFAULT_SUBNET, TWENTY_SUBNETS_IN_DIFFERENT_AZS, - DEFAULT_CLUSTER_NAME, ) -from ray.autoscaler._private.aws.config import key_pair from ray.tests.aws.utils.helpers import ( - get_cloudwatch_dashboard_config_file_path, get_cloudwatch_alarm_config_file_path, + get_cloudwatch_dashboard_config_file_path, ) -from ray.autoscaler._private.aws.cloudwatch.cloudwatch_helper import ( - CLOUDWATCH_AGENT_INSTALLED_TAG, - CLOUDWATCH_CONFIG_HASH_TAG_BASE, -) -from ray.autoscaler.tags import NODE_KIND_HEAD, TAG_RAY_NODE_KIND - -from unittest import mock - -from botocore.stub import ANY def configure_iam_role_default(iam_client_stub): diff --git a/python/ray/tests/chaos/potato_passer.py b/python/ray/tests/chaos/potato_passer.py index 4f84693fa647..25e5b912ef96 100644 --- a/python/ray/tests/chaos/potato_passer.py +++ b/python/ray/tests/chaos/potato_passer.py @@ -1,5 +1,6 @@ -import asyncio import argparse +import asyncio + import ray ray.init() diff --git a/python/ray/tests/chaos/streaming_llm.py b/python/ray/tests/chaos/streaming_llm.py index bbe5075d8c47..4b0536687dba 100644 --- a/python/ray/tests/chaos/streaming_llm.py +++ b/python/ray/tests/chaos/streaming_llm.py @@ -1,8 +1,8 @@ +import argparse import asyncio import logging -import requests -import argparse +import requests from fastapi import FastAPI from starlette.responses import StreamingResponse diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index 7909600440d9..386f9f63baa0 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -2,6 +2,7 @@ This file defines the common pytest fixtures used in current directory. """ +import copy import json import logging import os @@ -16,35 +17,35 @@ from tempfile import gettempdir from typing import List, Optional from unittest import mock -import psutil + import pytest -import copy import ray -from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants -from ray._private.conftest_utils import set_override_dashboard_url # noqa: F401 from ray._common.network_utils import build_address +from ray._common.test_utils import wait_for_condition +from ray._private.conftest_utils import set_override_dashboard_url # noqa: F401 from ray._private.runtime_env import virtualenv_utils - from ray._private.test_utils import ( + RayletKiller, + external_redis_test_enabled, + find_free_port, get_and_run_resource_killer, + get_redis_cli, init_error_pubsub, init_log_pubsub, - setup_tls, - teardown_tls, - external_redis_test_enabled, redis_replicas, - get_redis_cli, - start_redis_instance, - start_redis_sentinel_instance, redis_sentinel_replicas, - find_free_port, reset_autoscaler_v2_enabled_cache, - RayletKiller, + setup_tls, + start_redis_instance, + start_redis_sentinel_instance, + teardown_tls, ) from ray.cluster_utils import AutoscalingCluster, Cluster, cluster_not_supported +import psutil + # TODO (mengjin) Improve the logging in the conftest files so that the logger can log # information in stdout as well as stderr and replace the print statements in the test # files diff --git a/python/ray/tests/conftest_docker.py b/python/ray/tests/conftest_docker.py index 12be797a23c6..02f4598484b1 100644 --- a/python/ray/tests/conftest_docker.py +++ b/python/ray/tests/conftest_docker.py @@ -1,10 +1,12 @@ +import subprocess import time +from typing import List + import pytest -from pytest_docker_tools import container, fetch, network, volume -from pytest_docker_tools import wrappers -import subprocess +from pytest_docker_tools import container, fetch, network, volume, wrappers + import docker -from typing import List + from ray._common.network_utils import build_address # If you need to debug tests using fixtures in this file, diff --git a/python/ray/tests/gcp/test_gcp_node_provider.py b/python/ray/tests/gcp/test_gcp_node_provider.py index 13623ad41e04..1826b6781d6f 100644 --- a/python/ray/tests/gcp/test_gcp_node_provider.py +++ b/python/ray/tests/gcp/test_gcp_node_provider.py @@ -1,33 +1,32 @@ import logging import sys -from typing import Dict from threading import RLock -from unittest.mock import MagicMock, patch, call +from typing import Dict +from unittest.mock import MagicMock, call, patch import pytest +from ray.autoscaler._private.command_runner import DockerCommandRunner, SSHCommandRunner +from ray.autoscaler._private.gcp.config import ( + _get_num_tpu_chips, + _has_tpus_in_node_configs, + _is_single_host_tpu, + get_node_type, + tpu_accelerator_config_to_type, +) from ray.autoscaler._private.gcp.node import ( GCPCompute, GCPNode, GCPNodeType, GCPResource, ) - -from ray.tests.test_autoscaler import MockProcessRunner from ray.autoscaler._private.gcp.node_provider import GCPNodeProvider -from ray.autoscaler._private.gcp.config import ( - get_node_type, - _get_num_tpu_chips, - _is_single_host_tpu, - _has_tpus_in_node_configs, - tpu_accelerator_config_to_type, -) from ray.autoscaler._private.gcp.tpu_command_runner import ( TPUCommandRunner, - TPUVMSSHCommandRunner, TPUVMDockerCommandRunner, + TPUVMSSHCommandRunner, ) -from ray.autoscaler._private.command_runner import SSHCommandRunner, DockerCommandRunner +from ray.tests.test_autoscaler import MockProcessRunner _PROJECT_NAME = "project-one" _AZ = "us-west1-b" diff --git a/python/ray/tests/gcp/test_gcp_tpu_command_runner.py b/python/ray/tests/gcp/test_gcp_tpu_command_runner.py index df908f58cf8d..4c8a88e9149e 100644 --- a/python/ray/tests/gcp/test_gcp_tpu_command_runner.py +++ b/python/ray/tests/gcp/test_gcp_tpu_command_runner.py @@ -6,10 +6,10 @@ import pytest -from ray.tests.test_autoscaler import MockProvider, MockProcessRunner -from ray.autoscaler._private.gcp.tpu_command_runner import TPUCommandRunner -from ray.autoscaler._private.command_runner import SSHCommandRunner from ray._private import ray_constants +from ray.autoscaler._private.command_runner import SSHCommandRunner +from ray.autoscaler._private.gcp.tpu_command_runner import TPUCommandRunner +from ray.tests.test_autoscaler import MockProcessRunner, MockProvider _MOCK_TPU_NAME = "my-tpu" _MOCK_ACCELERATOR_TYPE = "v4-16" diff --git a/python/ray/tests/horovod/horovod_example.py b/python/ray/tests/horovod/horovod_example.py index 92b4cc1a67f6..d53a93868b82 100644 --- a/python/ray/tests/horovod/horovod_example.py +++ b/python/ray/tests/horovod/horovod_example.py @@ -1,16 +1,15 @@ # This file is duplicated in release/ml_user_tests/horovod import argparse import os -from filelock import FileLock +import horovod.torch as hvd import torch.nn as nn import torch.nn.functional as F import torch.optim as optim -from torchvision import datasets, transforms import torch.utils.data.distributed - -import horovod.torch as hvd +from filelock import FileLock from horovod.ray import RayExecutor +from torchvision import datasets, transforms def metric_average(val, name): diff --git a/python/ray/tests/horovod/test_horovod.py b/python/ray/tests/horovod/test_horovod.py index 19103f399a6d..93aceaae278b 100644 --- a/python/ray/tests/horovod/test_horovod.py +++ b/python/ray/tests/horovod/test_horovod.py @@ -9,8 +9,8 @@ pytest.importorskip("horovod") try: - from horovod.ray.runner import RayExecutor from horovod.common.util import gloo_built + from horovod.ray.runner import RayExecutor except ImportError: pass # This shouldn't be reached - the test should be skipped. @@ -30,11 +30,12 @@ def ray_start_4_cpus(request): def _train(batch_size=32, batch_per_iter=10): + import timeit + + import horovod.torch as hvd import torch.nn.functional as F import torch.optim as optim import torch.utils.data.distributed - import horovod.torch as hvd - import timeit hvd.init() diff --git a/python/ray/tests/kuberay/scripts/non_terminated_nodes_count.py b/python/ray/tests/kuberay/scripts/non_terminated_nodes_count.py index 86f55f67a8ff..7d64678cf679 100644 --- a/python/ray/tests/kuberay/scripts/non_terminated_nodes_count.py +++ b/python/ray/tests/kuberay/scripts/non_terminated_nodes_count.py @@ -1,6 +1,6 @@ import ray -from ray.autoscaler._private.providers import _get_node_provider from ray.autoscaler._private.kuberay.autoscaling_config import _generate_provider_config +from ray.autoscaler._private.providers import _get_node_provider @ray.remote diff --git a/python/ray/tests/kuberay/scripts/scale_up_custom.py b/python/ray/tests/kuberay/scripts/scale_up_custom.py index ada4c9eb757e..3810c635e3be 100644 --- a/python/ray/tests/kuberay/scripts/scale_up_custom.py +++ b/python/ray/tests/kuberay/scripts/scale_up_custom.py @@ -1,6 +1,7 @@ -import ray import time +import ray + def main(): """Submits custom resource request. diff --git a/python/ray/tests/kuberay/test_autoscaling_config.py b/python/ray/tests/kuberay/test_autoscaling_config.py index 29597fc86f8b..61a886d96758 100644 --- a/python/ray/tests/kuberay/test_autoscaling_config.py +++ b/python/ray/tests/kuberay/test_autoscaling_config.py @@ -1,23 +1,23 @@ import copy -from pathlib import Path import platform -import requests import sys +from pathlib import Path from typing import Any, Dict, Optional, Type from unittest import mock -import yaml import pytest +import requests +import yaml from ray.autoscaler._private.kuberay.autoscaling_config import ( GKE_TPU_ACCELERATOR_LABEL, GKE_TPU_TOPOLOGY_LABEL, - _derive_autoscaling_config_from_ray_cr, AutoscalingConfigProducer, - _round_up_k8s_quantity, - _get_num_tpus, + _derive_autoscaling_config_from_ray_cr, _get_custom_resources, + _get_num_tpus, _get_ray_resources_from_group_spec, + _round_up_k8s_quantity, ) from ray.autoscaler._private.kuberay.utils import tpu_node_selectors_to_type diff --git a/python/ray/tests/kuberay/test_autoscaling_e2e.py b/python/ray/tests/kuberay/test_autoscaling_e2e.py index 22d8cd811fb1..5ecc1410cb3f 100644 --- a/python/ray/tests/kuberay/test_autoscaling_e2e.py +++ b/python/ray/tests/kuberay/test_autoscaling_e2e.py @@ -7,20 +7,20 @@ import tempfile import unittest from typing import Any, Dict -import yaml import pytest +import yaml from ray.tests.kuberay.utils import ( get_pod, get_pod_names, get_raycluster, - switch_to_ray_parent_dir, + kubectl_delete, kubectl_exec_python_script, kubectl_logs, - kubectl_delete, - wait_for_pods, + switch_to_ray_parent_dir, wait_for_pod_to_start, + wait_for_pods, wait_for_ray_health, ) diff --git a/python/ray/tests/kuberay/test_kuberay_node_provider.py b/python/ray/tests/kuberay/test_kuberay_node_provider.py index 96ca4863e865..189de40b5521 100644 --- a/python/ray/tests/kuberay/test_kuberay_node_provider.py +++ b/python/ray/tests/kuberay/test_kuberay_node_provider.py @@ -1,25 +1,24 @@ import copy -from unittest import mock import sys +from collections import defaultdict +from pathlib import Path +from typing import List, Set +from unittest import mock import jsonpatch import pytest +import yaml -from collections import defaultdict -from ray.autoscaler.batching_node_provider import NodeData from ray.autoscaler._private.kuberay.node_provider import ( + KubeRayNodeProvider, + ScaleRequest, _worker_group_index, _worker_group_max_replicas, _worker_group_replicas, - KubeRayNodeProvider, - ScaleRequest, ) from ray.autoscaler._private.util import NodeID -from pathlib import Path -import yaml - +from ray.autoscaler.batching_node_provider import NodeData from ray.tests.kuberay.test_autoscaling_config import get_basic_ray_cr -from typing import Set, List def _get_basic_ray_cr_workers_to_delete( diff --git a/python/ray/tests/kuberay/utils.py b/python/ray/tests/kuberay/utils.py index f11f0b24b4c4..63ddd9b3578f 100644 --- a/python/ray/tests/kuberay/utils.py +++ b/python/ray/tests/kuberay/utils.py @@ -4,14 +4,14 @@ import atexit import contextlib import logging +import os import pathlib import subprocess import tempfile import time from typing import Any, Dict, Generator, List, Optional -import yaml -import os +import yaml logger = logging.getLogger(__name__) diff --git a/python/ray/tests/ludwig/ludwig_test_utils.py b/python/ray/tests/ludwig/ludwig_test_utils.py index 069d431655ad..3b567bce129b 100644 --- a/python/ray/tests/ludwig/ludwig_test_utils.py +++ b/python/ray/tests/ludwig/ludwig_test_utils.py @@ -30,12 +30,10 @@ import cloudpickle import numpy as np import pandas as pd - from ludwig.api import LudwigModel from ludwig.backend import LocalBackend -from ludwig.constants import VECTOR, COLUMN, NAME, PROC_COLUMN -from ludwig.data.dataset_synthesizer import DATETIME_FORMATS -from ludwig.data.dataset_synthesizer import build_synthetic_dataset +from ludwig.constants import COLUMN, NAME, PROC_COLUMN, VECTOR +from ludwig.data.dataset_synthesizer import DATETIME_FORMATS, build_synthetic_dataset from ludwig.experiment import experiment_cli from ludwig.features.feature_utils import compute_feature_hash from ludwig.utils.data_utils import read_csv, replace_file_extension diff --git a/python/ray/tests/ludwig/test_ludwig.py b/python/ray/tests/ludwig/test_ludwig.py index a19ec33520a4..6978234a394f 100644 --- a/python/ray/tests/ludwig/test_ludwig.py +++ b/python/ray/tests/ludwig/test_ludwig.py @@ -19,8 +19,8 @@ import contextlib import os -import tempfile import sys +import tempfile import pytest @@ -47,18 +47,21 @@ if not skip: from ludwig.backend.ray import RayBackend, get_horovod_kwargs - from ray.tests.ludwig.ludwig_test_utils import create_data_set_to_use, spawn - from ray.tests.ludwig.ludwig_test_utils import bag_feature - from ray.tests.ludwig.ludwig_test_utils import binary_feature - from ray.tests.ludwig.ludwig_test_utils import category_feature - from ray.tests.ludwig.ludwig_test_utils import date_feature - from ray.tests.ludwig.ludwig_test_utils import generate_data - from ray.tests.ludwig.ludwig_test_utils import h3_feature - from ray.tests.ludwig.ludwig_test_utils import numerical_feature - from ray.tests.ludwig.ludwig_test_utils import sequence_feature - from ray.tests.ludwig.ludwig_test_utils import set_feature - from ray.tests.ludwig.ludwig_test_utils import train_with_backend - from ray.tests.ludwig.ludwig_test_utils import vector_feature + from ray.tests.ludwig.ludwig_test_utils import ( + bag_feature, + binary_feature, + category_feature, + create_data_set_to_use, + date_feature, + generate_data, + h3_feature, + numerical_feature, + sequence_feature, + set_feature, + spawn, + train_with_backend, + vector_feature, + ) else: diff --git a/python/ray/tests/mock_s3_server.py b/python/ray/tests/mock_s3_server.py index b935e7865c1a..f5bd792be488 100644 --- a/python/ray/tests/mock_s3_server.py +++ b/python/ray/tests/mock_s3_server.py @@ -1,12 +1,13 @@ # extracted from aioboto3 # https://github.com/terrycain/aioboto3/blob/16a1a1085191ebe6d40ee45d9588b2173738af0c/tests/mock_server.py -import pytest -import requests import shutil import signal import subprocess as sp import time +import pytest +import requests + from ray._common.network_utils import build_address _proxy_bypass = { diff --git a/python/ray/tests/modin/modin_test_utils.py b/python/ray/tests/modin/modin_test_utils.py index 4071b536104f..5c7ec28aaaf9 100644 --- a/python/ray/tests/modin/modin_test_utils.py +++ b/python/ray/tests/modin/modin_test_utils.py @@ -16,16 +16,16 @@ # This file is copied and adapted from # http://github.com/modin-project/modin/master/modin/pandas/test/utils.py -import pandas import modin.pandas as pd +import numpy as np +import pandas from modin.utils import to_pandas from pandas.testing import ( - assert_series_equal, - assert_frame_equal, assert_extension_array_equal, + assert_frame_equal, assert_index_equal, + assert_series_equal, ) -import numpy as np def categories_equals(left, right): diff --git a/python/ray/tests/modin/test_modin.py b/python/ray/tests/modin/test_modin.py index 9f50fe465a2c..e379c2026df7 100644 --- a/python/ray/tests/modin/test_modin.py +++ b/python/ray/tests/modin/test_modin.py @@ -17,10 +17,12 @@ # http://github.com/modin-project/modin/master/modin/pandas/test/test_general.py import sys -import pytest -import pandas + import numpy as np +import pandas +import pytest from numpy.testing import assert_array_equal + from ray.tests.conftest import ray_start_regular_shared # noqa F401 modin_installed = True @@ -36,9 +38,10 @@ pytestmark = pytest.mark.skipif(skip, reason="Outdated or missing Modin dependency") if not skip: - from ray.tests.modin.modin_test_utils import df_equals import modin.pandas as pd + from ray.tests.modin.modin_test_utils import df_equals + @pytest.fixture(autouse=True) def connect_to_ray_cluster(ray_start_regular_shared): # noqa F811 diff --git a/python/ray/tests/runtime_env_container/test_job.py b/python/ray/tests/runtime_env_container/test_job.py index 9d20c29d8e5a..e0a04d169cc7 100644 --- a/python/ray/tests/runtime_env_container/test_job.py +++ b/python/ray/tests/runtime_env_container/test_job.py @@ -1,8 +1,8 @@ import argparse import ray -from ray.job_submission import JobStatus, JobSubmissionClient from ray._common.test_utils import wait_for_condition +from ray.job_submission import JobStatus, JobSubmissionClient parser = argparse.ArgumentParser() parser.add_argument("--image", type=str, help="The docker image to use for Ray worker") diff --git a/python/ray/tests/runtime_env_container/test_log_file_exists.py b/python/ray/tests/runtime_env_container/test_log_file_exists.py index 8d1afff7eefe..a3dcec682c01 100644 --- a/python/ray/tests/runtime_env_container/test_log_file_exists.py +++ b/python/ray/tests/runtime_env_container/test_log_file_exists.py @@ -1,9 +1,10 @@ -import ray -from pathlib import Path +import argparse import re -from ray.util.state import list_tasks +from pathlib import Path + +import ray from ray._common.test_utils import wait_for_condition -import argparse +from ray.util.state import list_tasks parser = argparse.ArgumentParser() parser.add_argument("--image", type=str, help="The docker image to use for Ray worker") diff --git a/python/ray/tests/runtime_env_container/test_put_get.py b/python/ray/tests/runtime_env_container/test_put_get.py index cc79edf58d29..048b3b863804 100644 --- a/python/ray/tests/runtime_env_container/test_put_get.py +++ b/python/ray/tests/runtime_env_container/test_put_get.py @@ -1,7 +1,9 @@ -import ray -import numpy as np import argparse +import numpy as np + +import ray + parser = argparse.ArgumentParser() parser.add_argument("--image", type=str, help="The docker image to use for Ray worker") parser.add_argument( diff --git a/python/ray/tests/runtime_env_container/test_serve_basic.py b/python/ray/tests/runtime_env_container/test_serve_basic.py index c68597600dbd..8175441eebed 100644 --- a/python/ray/tests/runtime_env_container/test_serve_basic.py +++ b/python/ray/tests/runtime_env_container/test_serve_basic.py @@ -1,4 +1,5 @@ import argparse + from ray import serve from ray._common.test_utils import wait_for_condition from ray.serve.handle import DeploymentHandle diff --git a/python/ray/tests/runtime_env_container/test_serve_telemetry.py b/python/ray/tests/runtime_env_container/test_serve_telemetry.py index d20f0d4c48a3..bd24b23318b2 100644 --- a/python/ray/tests/runtime_env_container/test_serve_telemetry.py +++ b/python/ray/tests/runtime_env_container/test_serve_telemetry.py @@ -5,14 +5,14 @@ import ray from ray import serve from ray._common.test_utils import wait_for_condition -from ray.serve._private.usage import ServeUsageTag -from ray.serve.context import _get_global_client -from ray.serve.schema import ServeDeploySchema from ray.serve._private.test_utils import ( TelemetryStorage, check_ray_started, check_ray_stopped, ) +from ray.serve._private.usage import ServeUsageTag +from ray.serve.context import _get_global_client +from ray.serve.schema import ServeDeploySchema parser = argparse.ArgumentParser( description="Example Python script taking command line arguments." diff --git a/python/ray/tests/runtime_env_container/test_shared_memory.py b/python/ray/tests/runtime_env_container/test_shared_memory.py index 622b6813fbb1..d501a41709a9 100644 --- a/python/ray/tests/runtime_env_container/test_shared_memory.py +++ b/python/ray/tests/runtime_env_container/test_shared_memory.py @@ -1,8 +1,9 @@ -import ray -import numpy as np -import sys import argparse +import sys +import numpy as np + +import ray parser = argparse.ArgumentParser() parser.add_argument("--image", type=str, help="The docker image to use for Ray worker") diff --git a/python/ray/tests/runtime_env_container/test_worker_exit_intended_system_exit_and_user_error.py b/python/ray/tests/runtime_env_container/test_worker_exit_intended_system_exit_and_user_error.py index e8280a2b9214..80db3a460459 100644 --- a/python/ray/tests/runtime_env_container/test_worker_exit_intended_system_exit_and_user_error.py +++ b/python/ray/tests/runtime_env_container/test_worker_exit_intended_system_exit_and_user_error.py @@ -1,12 +1,12 @@ +import argparse import asyncio import os -import argparse import ray -from ray._private.state_api_test_utils import verify_failed_task -from ray.util.state import list_workers from ray._common.test_utils import wait_for_condition +from ray._private.state_api_test_utils import verify_failed_task from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy +from ray.util.state import list_workers parser = argparse.ArgumentParser() parser.add_argument("--image", type=str, help="The docker image to use for Ray worker") diff --git a/python/ray/tests/spark/test_GPU.py b/python/ray/tests/spark/test_GPU.py index 0d8641b75f24..d1d65ef345bf 100644 --- a/python/ray/tests/spark/test_GPU.py +++ b/python/ray/tests/spark/test_GPU.py @@ -1,21 +1,22 @@ -import sys -import pytest +import functools import os +import sys import time -import functools from abc import ABC + +import pytest from pyspark.sql import SparkSession + +import ray +from ray._common.test_utils import wait_for_condition from ray.tests.spark.test_basic import ( + _RAY_ON_SPARK_WORKER_PHYSICAL_MEMORY_BYTES, + _RAY_ON_SPARK_WORKER_SHARED_MEMORY_BYTES, RayOnSparkCPUClusterTestBase, _setup_ray_cluster, _setup_ray_on_spark_envs, - _RAY_ON_SPARK_WORKER_PHYSICAL_MEMORY_BYTES, - _RAY_ON_SPARK_WORKER_SHARED_MEMORY_BYTES, ) from ray.util.spark.utils import _calc_mem_per_ray_worker_node -from ray._common.test_utils import wait_for_condition - -import ray pytestmark = [ pytest.mark.skipif( diff --git a/python/ray/tests/spark/test_basic.py b/python/ray/tests/spark/test_basic.py index 3b1003e591df..bce74852f72f 100644 --- a/python/ray/tests/spark/test_basic.py +++ b/python/ray/tests/spark/test_basic.py @@ -1,32 +1,31 @@ +import logging import os +import re import shutil -import tempfile import socket -import threading -import re -import pytest import sys -from unittest import mock +import tempfile +import threading +import time from abc import ABC +from contextlib import contextmanager +from unittest import mock -import ray +import pytest +from pyspark.sql import SparkSession +import ray import ray.util.spark.cluster_init +from ray._common.test_utils import wait_for_condition from ray.util.spark import ( + MAX_NUM_WORKER_NODES, + setup_global_ray_cluster, setup_ray_cluster, shutdown_ray_cluster, - setup_global_ray_cluster, - MAX_NUM_WORKER_NODES, ) from ray.util.spark.utils import ( _calc_mem_per_ray_worker_node, ) -from pyspark.sql import SparkSession -import time -import logging -from contextlib import contextmanager -from ray._common.test_utils import wait_for_condition - pytestmark = [ pytest.mark.skipif( diff --git a/python/ray/tests/spark/test_databricks_hook.py b/python/ray/tests/spark/test_databricks_hook.py index e0e2d5ed12d8..5995e1103a68 100644 --- a/python/ray/tests/spark/test_databricks_hook.py +++ b/python/ray/tests/spark/test_databricks_hook.py @@ -1,14 +1,14 @@ +import os import sys +import time import pytest -import os -import time -import ray from pyspark.sql import SparkSession -from ray.util.spark import setup_ray_cluster + +import ray import ray.util.spark.databricks_hook from ray._common.test_utils import wait_for_condition - +from ray.util.spark import setup_ray_cluster pytestmark = pytest.mark.skipif( not sys.platform.startswith("linux"), diff --git a/python/ray/tests/spark/test_multicores_per_task.py b/python/ray/tests/spark/test_multicores_per_task.py index b34d93ec3616..3fb693d7466d 100644 --- a/python/ray/tests/spark/test_multicores_per_task.py +++ b/python/ray/tests/spark/test_multicores_per_task.py @@ -1,7 +1,9 @@ +import os import sys + import pytest -import os from pyspark.sql import SparkSession + from ray.tests.spark.test_basic import _setup_ray_on_spark_envs from ray.tests.spark.test_GPU import RayOnSparkGPUClusterTestBase diff --git a/python/ray/tests/spark/test_utils.py b/python/ray/tests/spark/test_utils.py index 35a516c9d4e3..a8efd615f81d 100644 --- a/python/ray/tests/spark/test_utils.py +++ b/python/ray/tests/spark/test_utils.py @@ -1,18 +1,19 @@ -from unittest.mock import patch import os import re import sys +from unittest.mock import patch import pytest -from ray.util.spark.utils import ( - get_spark_task_assigned_physical_gpus, - _calc_mem_per_ray_worker_node, - _get_avail_mem_per_ray_worker_node, -) + from ray.util.spark.cluster_init import ( + _append_default_spilling_dir_config, _convert_ray_node_options, _verify_node_options, - _append_default_spilling_dir_config, +) +from ray.util.spark.utils import ( + _calc_mem_per_ray_worker_node, + _get_avail_mem_per_ray_worker_node, + get_spark_task_assigned_physical_gpus, ) pytestmark = pytest.mark.skipif( diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index 175f75c7c518..7055b78c46e9 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -5,23 +5,24 @@ import numpy as np import pytest -import psutil import ray from ray import cloudpickle as pickle +from ray._common.test_utils import SignalActor, wait_for_condition +from ray._common.utils import hex_to_binary from ray._private import ray_constants +from ray._private.state_api_test_utils import invoke_state_api, invoke_state_api_n from ray._private.test_utils import ( client_test_enabled, wait_for_pid_to_exit, ) from ray.actor import ActorClassInheritanceException -from ray.tests.client_test_utils import create_remote_signal_actor -from ray._common.test_utils import SignalActor, wait_for_condition from ray.core.generated import gcs_pb2 -from ray._common.utils import hex_to_binary -from ray._private.state_api_test_utils import invoke_state_api, invoke_state_api_n +from ray.tests.client_test_utils import create_remote_signal_actor from ray.util.state import list_actors +import psutil + @pytest.mark.parametrize("set_enable_auto_connect", [True, False], indirect=True) def test_caching_actors(shutdown_only, set_enable_auto_connect): diff --git a/python/ray/tests/test_actor_advanced.py b/python/ray/tests/test_actor_advanced.py index 79b4b1c0a541..812cfd7f9557 100644 --- a/python/ray/tests/test_actor_advanced.py +++ b/python/ray/tests/test_actor_advanced.py @@ -1,16 +1,16 @@ import os import sys import time -from typing import Optional from concurrent.futures import ThreadPoolExecutor +from typing import Optional import pytest import ray import ray._private.gcs_utils as gcs_utils -from ray.util.state import list_actors import ray.cluster_utils from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.ray_constants import gcs_actor_scheduling_enabled from ray._private.test_utils import ( convert_actor_state, kill_actor_and_wait_for_failure, @@ -18,8 +18,8 @@ run_string_as_driver, wait_for_pid_to_exit, ) -from ray._private.ray_constants import gcs_actor_scheduling_enabled from ray.experimental.internal_kv import _internal_kv_get, _internal_kv_put +from ray.util.state import list_actors def test_actors_on_nodes_with_no_cpus(ray_start_no_cpu): diff --git a/python/ray/tests/test_actor_bounded_threads.py b/python/ray/tests/test_actor_bounded_threads.py index ba3d536a5851..f2fc7bf24857 100644 --- a/python/ray/tests/test_actor_bounded_threads.py +++ b/python/ray/tests/test_actor_bounded_threads.py @@ -1,13 +1,13 @@ -import sys -import os - -import ray import logging -from typing import Dict +import os +import sys from collections import Counter +from typing import Dict import pytest +import ray + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_actor_cancel.py b/python/ray/tests/test_actor_cancel.py index 7f7042a039f2..201ec2a86eb1 100644 --- a/python/ray/tests/test_actor_cancel.py +++ b/python/ray/tests/test_actor_cancel.py @@ -1,14 +1,13 @@ import asyncio +import concurrent.futures import sys import time -import concurrent.futures from collections import defaultdict import pytest import ray -from ray._common.test_utils import SignalActor -from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import SignalActor, wait_for_condition from ray.exceptions import TaskCancelledError from ray.util.state import list_tasks diff --git a/python/ray/tests/test_actor_failures.py b/python/ray/tests/test_actor_failures.py index 6397b1b48b9c..ed5b2b8a8db4 100644 --- a/python/ray/tests/test_actor_failures.py +++ b/python/ray/tests/test_actor_failures.py @@ -1,5 +1,5 @@ -import atexit import asyncio +import atexit import collections import os import signal @@ -8,18 +8,18 @@ import time from typing import Callable, Generator -import pytest import numpy as np +import pytest import ray -from ray.actor import exit_actor -from ray.exceptions import AsyncioActorExit import ray.cluster_utils from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( - wait_for_pid_to_exit, generate_system_config_map, + wait_for_pid_to_exit, ) +from ray.actor import exit_actor +from ray.exceptions import AsyncioActorExit SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM diff --git a/python/ray/tests/test_actor_lifetime.py b/python/ray/tests/test_actor_lifetime.py index 09ff2a16a13c..7d4f118f98a7 100644 --- a/python/ray/tests/test_actor_lifetime.py +++ b/python/ray/tests/test_actor_lifetime.py @@ -1,17 +1,17 @@ import os -import time import signal import sys +import time import pytest import ray from ray._common.test_utils import wait_for_condition -from ray.exceptions import RayActorError -from ray.job_config import JobConfig from ray._private.test_utils import ( wait_for_pid_to_exit, ) +from ray.exceptions import RayActorError +from ray.job_config import JobConfig SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM diff --git a/python/ray/tests/test_actor_lineage_reconstruction.py b/python/ray/tests/test_actor_lineage_reconstruction.py index 3e3fac33a507..eb06d0bd77e3 100644 --- a/python/ray/tests/test_actor_lineage_reconstruction.py +++ b/python/ray/tests/test_actor_lineage_reconstruction.py @@ -1,14 +1,13 @@ import gc import os -import sys import signal +import sys import pytest import ray from ray._common.test_utils import wait_for_condition -from ray.core.generated import gcs_pb2 -from ray.core.generated import common_pb2 +from ray.core.generated import common_pb2, gcs_pb2 @pytest.mark.parametrize("deterministic_failure", ["request", "response"]) diff --git a/python/ray/tests/test_actor_pool.py b/python/ray/tests/test_actor_pool.py index f7677deccfbf..b969933531cd 100644 --- a/python/ray/tests/test_actor_pool.py +++ b/python/ray/tests/test_actor_pool.py @@ -2,6 +2,7 @@ import sys import time from unittest.mock import MagicMock + import pytest import ray diff --git a/python/ray/tests/test_actor_retry_2.py b/python/ray/tests/test_actor_retry_2.py index fb5fde7f503a..0f06ba3d940e 100644 --- a/python/ray/tests/test_actor_retry_2.py +++ b/python/ray/tests/test_actor_retry_2.py @@ -2,11 +2,11 @@ import sys from collections import defaultdict from typing import Optional -from ray._common.test_utils import SignalActor import pytest import ray +from ray._common.test_utils import SignalActor class MyError(Exception): diff --git a/python/ray/tests/test_actor_state_metrics.py b/python/ray/tests/test_actor_state_metrics.py index f14af6fd8cea..c03ffe5560a2 100644 --- a/python/ray/tests/test_actor_state_metrics.py +++ b/python/ray/tests/test_actor_state_metrics.py @@ -1,6 +1,6 @@ import asyncio -import time import sys +import time from collections import defaultdict from typing import Dict @@ -9,13 +9,12 @@ import ray from ray._common.test_utils import wait_for_condition from ray._common.utils import hex_to_binary - -from ray.util.state import list_actors from ray._private.test_utils import ( raw_metrics, run_string_as_driver, ) from ray._private.worker import RayContext +from ray.util.state import list_actors _SYSTEM_CONFIG = { "metrics_report_interval_ms": 200, diff --git a/python/ray/tests/test_advanced.py b/python/ray/tests/test_advanced.py index 047e71d33c1f..ce5bb7f1e08e 100644 --- a/python/ray/tests/test_advanced.py +++ b/python/ray/tests/test_advanced.py @@ -8,18 +8,18 @@ import numpy as np import pytest -from ray._common.test_utils import wait_for_condition import ray._private.profiling as profiling import ray.cluster_utils +from ray._common.test_utils import wait_for_condition from ray._private.internal_api import ( - memory_summary, get_local_ongoing_lineage_reconstruction_tasks, + memory_summary, ) from ray._private.test_utils import ( client_test_enabled, ) -from ray.exceptions import ObjectFreedError from ray.core.generated import common_pb2 +from ray.exceptions import ObjectFreedError if client_test_enabled(): from ray.util.client import ray diff --git a/python/ray/tests/test_advanced_2.py b/python/ray/tests/test_advanced_2.py index 24714270a7fd..20e7715a461a 100644 --- a/python/ray/tests/test_advanced_2.py +++ b/python/ray/tests/test_advanced_2.py @@ -10,8 +10,8 @@ import ray import ray.cluster_utils from ray._common.test_utils import wait_for_condition -from ray.util.placement_group import placement_group from ray.util.accelerators import AWS_NEURON_CORE +from ray.util.placement_group import placement_group from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_advanced_3.py b/python/ray/tests/test_advanced_3.py index 55a5afc79d8e..09d0743b6a0d 100644 --- a/python/ray/tests/test_advanced_3.py +++ b/python/ray/tests/test_advanced_3.py @@ -1,21 +1,22 @@ # coding: utf-8 +import importlib import logging import os import pickle import socket import sys import time -import importlib import numpy as np import pytest -import psutil import ray import ray._private.ray_constants import ray._private.utils from ray._private.test_utils import check_call_ray, wait_for_num_actors +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_advanced_4.py b/python/ray/tests/test_advanced_4.py index f000ad4d7088..699757aa5592 100644 --- a/python/ray/tests/test_advanced_4.py +++ b/python/ray/tests/test_advanced_4.py @@ -6,11 +6,11 @@ import pytest import ray +from ray._common.test_utils import Semaphore, wait_for_condition from ray._private.test_utils import ( client_test_enabled, get_gcs_memory_used, ) -from ray._common.test_utils import Semaphore, wait_for_condition from ray.experimental.internal_kv import _internal_kv_list diff --git a/python/ray/tests/test_advanced_6.py b/python/ray/tests/test_advanced_6.py index 98e6edfec377..3f54d79fa95f 100644 --- a/python/ray/tests/test_advanced_6.py +++ b/python/ray/tests/test_advanced_6.py @@ -6,17 +6,18 @@ import sys import time -import psutil import pytest import ray -from ray._common.test_utils import wait_for_condition import ray.cluster_utils +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( run_string_as_driver_nonblocking, wait_for_pid_to_exit, ) +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_advanced_7.py b/python/ray/tests/test_advanced_7.py index 339b90fc89d3..7eb7e23fd0a9 100644 --- a/python/ray/tests/test_advanced_7.py +++ b/python/ray/tests/test_advanced_7.py @@ -6,8 +6,8 @@ import time from concurrent.futures import ThreadPoolExecutor -import pytest import numpy as np +import pytest import ray.cluster_utils from ray._private.test_utils import client_test_enabled diff --git a/python/ray/tests/test_advanced_8.py b/python/ray/tests/test_advanced_8.py index 6c0c32d4f1c2..0b24bac5b435 100644 --- a/python/ray/tests/test_advanced_8.py +++ b/python/ray/tests/test_advanced_8.py @@ -9,10 +9,8 @@ from unittest import mock import numpy as np -import psutil import pytest -from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX import ray import ray._private.gcs_utils as gcs_utils import ray._private.ray_constants as ray_constants @@ -20,9 +18,12 @@ import ray.cluster_utils import ray.util.accelerators from ray._common.test_utils import wait_for_condition +from ray._common.utils import RESOURCE_CONSTRAINT_PREFIX from ray.dashboard import k8s_utils from ray.runtime_env import RuntimeEnv +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_advanced_9.py b/python/ray/tests/test_advanced_9.py index 39160849b148..dd139ebed0a3 100644 --- a/python/ray/tests/test_advanced_9.py +++ b/python/ray/tests/test_advanced_9.py @@ -1,25 +1,26 @@ import os -import psutil import subprocess import sys import pytest import ray -import ray.util.state import ray._private.ray_constants as ray_constants +import ray.util.state +from ray._common.network_utils import parse_address +from ray._common.test_utils import Semaphore, wait_for_condition from ray._private.test_utils import ( - external_redis_test_enabled, client_test_enabled, - run_string_as_driver, + external_redis_test_enabled, get_gcs_memory_used, + run_string_as_driver, run_string_as_driver_nonblocking, ) -from ray._common.network_utils import parse_address -from ray._common.test_utils import Semaphore, wait_for_condition +from ray._raylet import GCS_PID_KEY, GcsClient from ray.experimental.internal_kv import _internal_kv_list from ray.tests.conftest import call_ray_start -from ray._raylet import GcsClient, GCS_PID_KEY + +import psutil @pytest.fixture diff --git a/python/ray/tests/test_annotations.py b/python/ray/tests/test_annotations.py index 44569cf32f95..cc8a39ba4561 100644 --- a/python/ray/tests/test_annotations.py +++ b/python/ray/tests/test_annotations.py @@ -3,10 +3,10 @@ import pytest -from ray.util.annotations import Deprecated from ray._private.test_utils import ( run_string_as_driver, ) +from ray.util.annotations import Deprecated # Use default filterwarnings behavior for this test diff --git a/python/ray/tests/test_async.py b/python/ray/tests/test_async.py index 0b556a1cd08e..e98b6971fd77 100644 --- a/python/ray/tests/test_async.py +++ b/python/ray/tests/test_async.py @@ -4,14 +4,13 @@ import time import numpy as np - import pytest import ray +from ray._common.test_utils import wait_for_condition from ray._common.utils import ( get_or_create_event_loop, ) -from ray._common.test_utils import wait_for_condition @pytest.fixture diff --git a/python/ray/tests/test_asyncio.py b/python/ray/tests/test_asyncio.py index 904ff1bb403a..5223ffd98701 100644 --- a/python/ray/tests/test_asyncio.py +++ b/python/ray/tests/test_asyncio.py @@ -8,8 +8,8 @@ import pytest import ray -from ray._private.client_mode_hook import client_mode_should_convert from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.client_mode_hook import client_mode_should_convert from ray._private.test_utils import ( kill_actor_and_wait_for_failure, wait_for_pid_to_exit, diff --git a/python/ray/tests/test_asyncio_cluster.py b/python/ray/tests/test_asyncio_cluster.py index 280bbbae698d..52165bdbb353 100644 --- a/python/ray/tests/test_asyncio_cluster.py +++ b/python/ray/tests/test_asyncio_cluster.py @@ -2,8 +2,8 @@ import asyncio import sys -import pytest import numpy as np +import pytest import ray from ray.cluster_utils import Cluster, cluster_not_supported diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index a728071528c2..a4a6a0216b71 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -1,10 +1,10 @@ import copy -import logging -import sys import json +import logging import os import re import shutil +import sys import tempfile import time import unittest @@ -20,20 +20,15 @@ from jsonschema.exceptions import ValidationError import ray -from ray.tests.autoscaler_test_utils import ( - MockNode, - MockProcessRunner, - MockProvider, -) from ray.autoscaler._private import commands from ray.autoscaler._private.autoscaler import NonTerminatedNodes, StandardAutoscaler from ray.autoscaler._private.commands import get_or_create_head_node from ray.autoscaler._private.constants import ( + AUTOSCALER_HEARTBEAT_TIMEOUT_S, DISABLE_LAUNCH_CONFIG_CHECK_KEY, DISABLE_NODE_UPDATERS_KEY, FOREGROUND_NODE_LAUNCH_KEY, WORKER_LIVENESS_CHECK_KEY, - AUTOSCALER_HEARTBEAT_TIMEOUT_S, ) from ray.autoscaler._private.load_metrics import LoadMetrics from ray.autoscaler._private.monitor import Monitor @@ -62,13 +57,16 @@ TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE, ) +from ray.core.generated import common_pb2, gcs_pb2 +from ray.exceptions import RpcError +from ray.tests.autoscaler_test_utils import ( + MockNode, + MockProcessRunner, + MockProvider, +) from ray.tests.test_batch_node_provider_unit import ( MockBatchingNodeProvider, ) -from ray.exceptions import RpcError - -from ray.core.generated import gcs_pb2, common_pb2 - WORKER_FILTER = {TAG_RAY_NODE_KIND: NODE_KIND_WORKER} diff --git a/python/ray/tests/test_autoscaler_drain_node_api.py b/python/ray/tests/test_autoscaler_drain_node_api.py index 207d9f4f1dfe..abe5e97d1ce0 100644 --- a/python/ray/tests/test_autoscaler_drain_node_api.py +++ b/python/ray/tests/test_autoscaler_drain_node_api.py @@ -1,13 +1,13 @@ import logging import platform -import time import sys +import time import pytest import ray -from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( get_error_message, init_error_pubsub, diff --git a/python/ray/tests/test_autoscaler_e2e.py b/python/ray/tests/test_autoscaler_e2e.py index b491a824a14a..f3ea5dec3195 100644 --- a/python/ray/tests/test_autoscaler_e2e.py +++ b/python/ray/tests/test_autoscaler_e2e.py @@ -4,13 +4,13 @@ import pytest import ray -from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT from ray._common.network_utils import build_address +from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( - get_metric_check_condition, MetricSamplePattern, + get_metric_check_condition, ) -from ray._common.test_utils import SignalActor, wait_for_condition +from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT from ray.autoscaler.node_launch_exception import NodeLaunchException diff --git a/python/ray/tests/test_autoscaler_fake_multinode.py b/python/ray/tests/test_autoscaler_fake_multinode.py index 767edb2596a7..a0a1772f447d 100644 --- a/python/ray/tests/test_autoscaler_fake_multinode.py +++ b/python/ray/tests/test_autoscaler_fake_multinode.py @@ -1,7 +1,8 @@ -import time -import pytest import platform import sys +import time + +import pytest import ray from ray.cluster_utils import AutoscalingCluster diff --git a/python/ray/tests/test_autoscaler_util.py b/python/ray/tests/test_autoscaler_util.py index d4b7a1b27e73..eee85e20334c 100644 --- a/python/ray/tests/test_autoscaler_util.py +++ b/python/ray/tests/test_autoscaler_util.py @@ -1,6 +1,6 @@ import sys -import pytest +import pytest from ray.autoscaler._private.util import with_envs, with_head_node_ip diff --git a/python/ray/tests/test_autoscaler_yaml.py b/python/ray/tests/test_autoscaler_yaml.py index 7e302e47a2f8..320461cebc6a 100644 --- a/python/ray/tests/test_autoscaler_yaml.py +++ b/python/ray/tests/test_autoscaler_yaml.py @@ -5,7 +5,7 @@ import tempfile import unittest import urllib -from typing import Dict, Any +from typing import Any, Dict from unittest import mock from unittest.mock import MagicMock, Mock, patch diff --git a/python/ray/tests/test_autoscaling_policy.py b/python/ray/tests/test_autoscaling_policy.py index 32f44e217555..fa7235250f28 100644 --- a/python/ray/tests/test_autoscaling_policy.py +++ b/python/ray/tests/test_autoscaling_policy.py @@ -1,39 +1,40 @@ import collections import copy import logging -import yaml -import tempfile -import sys -from typing import Dict, Callable, List import shutil -from queue import PriorityQueue +import sys +import tempfile import unittest +from queue import PriorityQueue +from typing import Callable, Dict, List + import pytest +import yaml import ray -from ray.tests.test_autoscaler import ( - MockProvider, - MockProcessRunner, - MockGcsClient, - mock_node_id, - MockAutoscaler, -) -from ray.tests.test_resource_demand_scheduler import MULTI_WORKER_CLUSTER +from ray._private.gcs_utils import PlacementGroupTableData +from ray.autoscaler._private.cli_logger import cli_logger +from ray.autoscaler._private.constants import AUTOSCALER_UPDATE_INTERVAL_S +from ray.autoscaler._private.load_metrics import LoadMetrics +from ray.autoscaler._private.node_launcher import NodeLauncher from ray.autoscaler._private.providers import ( _NODE_PROVIDERS, _clear_provider_cache, ) -from ray.autoscaler._private.load_metrics import LoadMetrics -from ray.autoscaler._private.node_launcher import NodeLauncher from ray.autoscaler.tags import ( - TAG_RAY_USER_NODE_TYPE, - TAG_RAY_NODE_KIND, NODE_KIND_HEAD, + TAG_RAY_NODE_KIND, + TAG_RAY_USER_NODE_TYPE, ) -from ray.autoscaler._private.constants import AUTOSCALER_UPDATE_INTERVAL_S -from ray.autoscaler._private.cli_logger import cli_logger from ray.core.generated.common_pb2 import Bundle, PlacementStrategy -from ray._private.gcs_utils import PlacementGroupTableData +from ray.tests.test_autoscaler import ( + MockAutoscaler, + MockGcsClient, + MockProcessRunner, + MockProvider, + mock_node_id, +) +from ray.tests.test_resource_demand_scheduler import MULTI_WORKER_CLUSTER class Task: diff --git a/python/ray/tests/test_baseexceptionandgroup.py b/python/ray/tests/test_baseexceptionandgroup.py index a363bdf84eaf..208a4b673e9e 100644 --- a/python/ray/tests/test_baseexceptionandgroup.py +++ b/python/ray/tests/test_baseexceptionandgroup.py @@ -1,11 +1,12 @@ -import pytest import sys from textwrap import dedent +import pytest + import ray from ray.exceptions import ( - RayTaskError, ActorDiedError, + RayTaskError, TaskCancelledError, WorkerCrashedError, ) diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index 6300b1e7aa1a..c2bb0c662034 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -10,7 +10,6 @@ import pytest import ray -import psutil import ray.cluster_utils from ray._common.test_utils import SignalActor from ray._private.test_utils import ( @@ -19,6 +18,8 @@ ) from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_basic_5.py b/python/ray/tests/test_basic_5.py index 765bb4d72ee8..2a1568026ebd 100644 --- a/python/ray/tests/test_basic_5.py +++ b/python/ray/tests/test_basic_5.py @@ -2,22 +2,22 @@ import gc import logging import os +import subprocess import sys import time -import subprocess -from unittest.mock import Mock, patch import unittest +from unittest.mock import Mock, patch import pytest import ray import ray.cluster_utils +from ray._common.constants import HEAD_NODE_RESOURCE_NAME from ray._private.test_utils import ( + client_test_enabled, run_string_as_driver, wait_for_pid_to_exit, - client_test_enabled, ) -from ray._common.constants import HEAD_NODE_RESOURCE_NAME logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_batch_node_provider_integration.py b/python/ray/tests/test_batch_node_provider_integration.py index 7a7290a3f021..19423cc2e323 100644 --- a/python/ray/tests/test_batch_node_provider_integration.py +++ b/python/ray/tests/test_batch_node_provider_integration.py @@ -1,21 +1,21 @@ """Integration/e2e test for BatchingNodeProvider. Adapts FakeMultiNodeProvider tests. """ -from copy import deepcopy +import logging import sys +from copy import deepcopy import pytest - import ray from ray._common.test_utils import wait_for_condition +from ray.autoscaler._private.constants import FOREGROUND_NODE_LAUNCH_KEY +from ray.autoscaler._private.fake_multi_node.node_provider import FakeMultiNodeProvider from ray.autoscaler.batching_node_provider import ( BatchingNodeProvider, NodeData, ScaleRequest, ) -from ray.autoscaler._private.fake_multi_node.node_provider import FakeMultiNodeProvider -from ray.autoscaler._private.constants import FOREGROUND_NODE_LAUNCH_KEY from ray.autoscaler.tags import ( NODE_KIND_WORKER, STATUS_UP_TO_DATE, @@ -25,9 +25,6 @@ ) from ray.cluster_utils import AutoscalingCluster - -import logging - logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_batch_node_provider_unit.py b/python/ray/tests/test_batch_node_provider_unit.py index a2adc8a7b0a8..7f8fceb86637 100644 --- a/python/ray/tests/test_batch_node_provider_unit.py +++ b/python/ray/tests/test_batch_node_provider_unit.py @@ -1,34 +1,34 @@ """Unit test for BatchingNodeProvider. Validates BatchingNodeProvider's book-keeping logic. """ -from copy import copy -from uuid import uuid4 import random import sys -from typing import Any, Dict from collections import defaultdict +from copy import copy +from typing import Any, Dict +from uuid import uuid4 import pytest +from ray.autoscaler._private.constants import ( + DISABLE_LAUNCH_CONFIG_CHECK_KEY, + DISABLE_NODE_UPDATERS_KEY, + FOREGROUND_NODE_LAUNCH_KEY, +) +from ray.autoscaler._private.util import NodeID, NodeType from ray.autoscaler.batching_node_provider import ( BatchingNodeProvider, NodeData, ScaleRequest, ) -from ray.autoscaler._private.util import NodeID, NodeType from ray.autoscaler.tags import ( + NODE_KIND_HEAD, + NODE_KIND_WORKER, STATUS_UP_TO_DATE, - TAG_RAY_USER_NODE_TYPE, TAG_RAY_NODE_KIND, TAG_RAY_NODE_STATUS, TAG_RAY_REPLICA_INDEX, - NODE_KIND_HEAD, - NODE_KIND_WORKER, -) -from ray.autoscaler._private.constants import ( - DISABLE_LAUNCH_CONFIG_CHECK_KEY, - DISABLE_NODE_UPDATERS_KEY, - FOREGROUND_NODE_LAUNCH_KEY, + TAG_RAY_USER_NODE_TYPE, ) diff --git a/python/ray/tests/test_bounded_unix_sockets.py b/python/ray/tests/test_bounded_unix_sockets.py index 0f13c2e4a08f..9bbb5e9b09a5 100644 --- a/python/ray/tests/test_bounded_unix_sockets.py +++ b/python/ray/tests/test_bounded_unix_sockets.py @@ -1,10 +1,11 @@ +import logging import sys +import pytest + import ray -import logging -import psutil -import pytest +import psutil logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_bundle_label_selector.py b/python/ray/tests/test_bundle_label_selector.py index 8a029dbf03c8..c27b12eef787 100644 --- a/python/ray/tests/test_bundle_label_selector.py +++ b/python/ray/tests/test_bundle_label_selector.py @@ -1,12 +1,11 @@ -import sys import os +import sys import pytest import ray - -from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray._private.test_utils import placement_group_assert_no_leak +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy def test_bundle_label_selector_with_repeated_labels(ray_start_cluster): diff --git a/python/ray/tests/test_cancel.py b/python/ray/tests/test_cancel.py index 5878853fcf08..54c27641247c 100644 --- a/python/ray/tests/test_cancel.py +++ b/python/ray/tests/test_cancel.py @@ -1,25 +1,24 @@ +import _thread import random import signal import sys import threading -import _thread import time -import numpy as np from typing import List +import numpy as np import pytest import ray +from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.utils import DeferSigint from ray.exceptions import ( - TaskCancelledError, - RayTaskError, GetTimeoutError, + RayTaskError, + TaskCancelledError, WorkerCrashedError, ) from ray.types import ObjectRef -from ray._private.utils import DeferSigint -from ray._common.test_utils import SignalActor -from ray._common.test_utils import wait_for_condition from ray.util.state import list_tasks diff --git a/python/ray/tests/test_channel.py b/python/ray/tests/test_channel.py index f2c692b1d114..ad08512276fa 100644 --- a/python/ray/tests/test_channel.py +++ b/python/ray/tests/test_channel.py @@ -1,6 +1,6 @@ # coding: utf-8 -import pickle import logging +import pickle import sys import time import traceback @@ -13,11 +13,11 @@ import ray.cluster_utils import ray.exceptions import ray.experimental.channel as ray_channel -from ray.experimental.channel.torch_tensor_type import TorchTensorType +from ray._private.test_utils import get_actor_node_id +from ray.dag.compiled_dag_node import CompiledDAG from ray.exceptions import RayChannelError, RayChannelTimeoutError +from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy -from ray.dag.compiled_dag_node import CompiledDAG -from ray._private.test_utils import get_actor_node_id logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_channel_serialization.py b/python/ray/tests/test_channel_serialization.py index 36ef7eebacca..732681feb1fc 100644 --- a/python/ray/tests/test_channel_serialization.py +++ b/python/ray/tests/test_channel_serialization.py @@ -2,11 +2,12 @@ import logging import os import sys + import pytest -from ray.experimental.util.types import Device -from ray.experimental.channel.serialization_context import _SerializationContext import torch +from ray.experimental.channel.serialization_context import _SerializationContext +from ray.experimental.util.types import Device logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_chaos.py b/python/ray/tests/test_chaos.py index 4805e001e2ec..19458773c2f4 100644 --- a/python/ray/tests/test_chaos.py +++ b/python/ray/tests/test_chaos.py @@ -1,24 +1,24 @@ +import random import sys import time -import random import pytest import ray from ray._common.test_utils import wait_for_condition -from ray.experimental import shuffle -from ray.tests.conftest import _ray_start_chaos_cluster -from ray.util.placement_group import placement_group from ray._private.test_utils import ( RayletKiller, - get_log_message, - get_and_run_resource_killer, WorkerKillerActor, + get_and_run_resource_killer, + get_log_message, ) -from ray.exceptions import RayTaskError, ObjectLostError -from ray.util.state.common import ListApiOptions, StateResource -from ray.util.state.api import StateApiClient, list_nodes from ray.cluster_utils import AutoscalingCluster +from ray.exceptions import ObjectLostError, RayTaskError +from ray.experimental import shuffle +from ray.tests.conftest import _ray_start_chaos_cluster +from ray.util.placement_group import placement_group +from ray.util.state.api import StateApiClient, list_nodes +from ray.util.state.common import ListApiOptions, StateResource def assert_no_system_failure(p, timeout): diff --git a/python/ray/tests/test_cli.py b/python/ray/tests/test_cli.py index 782d8792b879..577c54308015 100644 --- a/python/ray/tests/test_cli.py +++ b/python/ray/tests/test_cli.py @@ -18,6 +18,7 @@ randomized each time. """ import glob +import json import multiprocessing as mp import multiprocessing.connection import os @@ -25,10 +26,10 @@ import sys import tempfile import threading -import json import time import uuid from contextlib import contextmanager +from http.server import BaseHTTPRequestHandler, HTTPServer from pathlib import Path from typing import Optional from unittest import mock @@ -42,17 +43,16 @@ from testfixtures.popen import MockPopen, PopenBehaviour import ray +import ray._private.ray_constants as ray_constants +import ray._private.utils as utils import ray.autoscaler._private.aws.config as aws_config import ray.autoscaler._private.constants as autoscaler_constants -import ray._private.ray_constants as ray_constants import ray.scripts.scripts as scripts -import ray._private.utils as utils -from ray.util.check_open_ports import check_open_ports from ray._common.network_utils import build_address, parse_address from ray._common.test_utils import wait_for_condition from ray.cluster_utils import cluster_not_supported +from ray.util.check_open_ports import check_open_ports from ray.util.state import list_nodes -from http.server import BaseHTTPRequestHandler, HTTPServer import psutil diff --git a/python/ray/tests/test_client.py b/python/ray/tests/test_client.py index d9c52088bd97..4ff31cdfba05 100644 --- a/python/ray/tests/test_client.py +++ b/python/ray/tests/test_client.py @@ -6,8 +6,8 @@ import sys import threading import time -from unittest.mock import Mock from typing import Type +from unittest.mock import Mock import numpy as np import pytest @@ -17,12 +17,12 @@ import ray import ray.cloudpickle as cloudpickle import ray.util.client.server.server as ray_client_server +from ray._common.network_utils import build_address from ray._private.client_mode_hook import ( client_mode_should_convert, disable_client_hook, enable_client_mode, ) -from ray._common.network_utils import build_address from ray._private.test_utils import run_string_as_driver from ray.tests.client_test_utils import ( create_remote_signal_actor, diff --git a/python/ray/tests/test_client_builder.py b/python/ray/tests/test_client_builder.py index 5bcad34ca8a5..b98a565f9121 100644 --- a/python/ray/tests/test_client_builder.py +++ b/python/ray/tests/test_client_builder.py @@ -7,9 +7,9 @@ import pytest import ray -from ray._common.test_utils import wait_for_condition import ray.client_builder as client_builder import ray.util.client.server.server as ray_client_server +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( run_string_as_driver, run_string_as_driver_nonblocking, diff --git a/python/ray/tests/test_client_init.py b/python/ray/tests/test_client_init.py index a217245eed28..bcba6a5d5ce6 100644 --- a/python/ray/tests/test_client_init.py +++ b/python/ray/tests/test_client_init.py @@ -1,20 +1,18 @@ """Client tests that run their own init (as with init_and_serve) live here""" -import time import random -import sys import subprocess +import sys +import time from unittest.mock import patch import pytest -import ray.util.client.server.server as ray_client_server +import ray import ray.core.generated.ray_client_pb2 as ray_client_pb2 - -from ray.util.client import _ClientContext +import ray.util.client.server.server as ray_client_server from ray.cluster_utils import cluster_not_supported - -import ray +from ray.util.client import _ClientContext @ray.remote diff --git a/python/ray/tests/test_client_metadata.py b/python/ray/tests/test_client_metadata.py index 7b96588cad29..fa88466a9fab 100644 --- a/python/ray/tests/test_client_metadata.py +++ b/python/ray/tests/test_client_metadata.py @@ -2,10 +2,9 @@ import pytest -from ray.util.client.ray_client_helpers import ray_start_client_server from ray._raylet import NodeID - from ray.runtime_context import RuntimeContext +from ray.util.client.ray_client_helpers import ray_start_client_server def test_get_ray_metadata(ray_start_regular_shared): diff --git a/python/ray/tests/test_client_multi.py b/python/ray/tests/test_client_multi.py index e6c4f8ec6ca4..69e8b7254691 100644 --- a/python/ray/tests/test_client_multi.py +++ b/python/ray/tests/test_client_multi.py @@ -1,5 +1,7 @@ import sys + import pytest + import ray diff --git a/python/ray/tests/test_client_proxy.py b/python/ray/tests/test_client_proxy.py index a653db604bb7..8501cccf2c1e 100644 --- a/python/ray/tests/test_client_proxy.py +++ b/python/ray/tests/test_client_proxy.py @@ -4,17 +4,17 @@ import sys import time from glob import glob -from unittest.mock import patch, MagicMock from itertools import chain +from unittest.mock import MagicMock, patch import grpc import pytest import ray -from ray._common.test_utils import wait_for_condition import ray.core.generated.ray_client_pb2 as ray_client_pb2 -from ray._common.network_utils import parse_address import ray.util.client.server.proxier as proxier +from ray._common.network_utils import parse_address +from ray._common.test_utils import wait_for_condition from ray._private.ray_constants import REDIS_DEFAULT_PASSWORD from ray._private.test_utils import run_string_as_driver from ray.cloudpickle.compat import pickle diff --git a/python/ray/tests/test_client_reconnect.py b/python/ray/tests/test_client_reconnect.py index 47ec8aba8812..28361abbc9a1 100644 --- a/python/ray/tests/test_client_reconnect.py +++ b/python/ray/tests/test_client_reconnect.py @@ -1,21 +1,21 @@ -from concurrent import futures import contextlib import os -import threading +import random import sys +import threading +import time +from concurrent import futures +from typing import Any, Callable, Optional +from unittest.mock import Mock, patch + import grpc import numpy as np - -import time -import random import pytest -from typing import Any, Callable, Optional -from unittest.mock import patch, Mock import ray -from ray._common.utils import get_or_create_event_loop import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc +from ray._common.utils import get_or_create_event_loop from ray.tests.conftest import call_ray_start_context from ray.util.client.common import CLIENT_SERVER_MAX_THREADS, GRPC_OPTIONS diff --git a/python/ray/tests/test_client_warnings.py b/python/ray/tests/test_client_warnings.py index cf463eae1289..7e276c8bfe2c 100644 --- a/python/ray/tests/test_client_warnings.py +++ b/python/ray/tests/test_client_warnings.py @@ -1,8 +1,8 @@ import sys import unittest -import pytest import numpy as np +import pytest from ray.util.client.ray_client_helpers import ray_start_client_server from ray.util.debug import _logged diff --git a/python/ray/tests/test_command_runner.py b/python/ray/tests/test_command_runner.py index af6c609cd502..9832698b0d3c 100644 --- a/python/ray/tests/test_command_runner.py +++ b/python/ray/tests/test_command_runner.py @@ -4,14 +4,14 @@ import pytest -from ray.tests.test_autoscaler import MockProvider, MockProcessRunner -from ray.autoscaler.command_runner import CommandRunnerInterface from ray.autoscaler._private.command_runner import ( - SSHCommandRunner, DockerCommandRunner, + SSHCommandRunner, _with_environment_variables, ) +from ray.autoscaler.command_runner import CommandRunnerInterface from ray.autoscaler.sdk import get_docker_host_mount_location +from ray.tests.test_autoscaler import MockProcessRunner, MockProvider auth_config = { "ssh_user": "ray", diff --git a/python/ray/tests/test_component_failures_2.py b/python/ray/tests/test_component_failures_2.py index 59b82315f919..6ea489606386 100644 --- a/python/ray/tests/test_component_failures_2.py +++ b/python/ray/tests/test_component_failures_2.py @@ -5,8 +5,8 @@ import pytest import ray -from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import get_other_nodes from ray.cluster_utils import Cluster, cluster_not_supported diff --git a/python/ray/tests/test_component_failures_3.py b/python/ray/tests/test_component_failures_3.py index d8f1cf737b9e..2a3c10d3a048 100644 --- a/python/ray/tests/test_component_failures_3.py +++ b/python/ray/tests/test_component_failures_3.py @@ -1,8 +1,8 @@ import sys import time -import pytest import numpy as np +import pytest import ray import ray._private.ray_constants as ray_constants diff --git a/python/ray/tests/test_concurrency_group.py b/python/ray/tests/test_concurrency_group.py index 2b31d5b0d0f2..4ae7eff96478 100644 --- a/python/ray/tests/test_concurrency_group.py +++ b/python/ray/tests/test_concurrency_group.py @@ -8,9 +8,9 @@ import pytest import ray +from ray._common.test_utils import SignalActor from ray._common.utils import get_or_create_event_loop from ray._private.test_utils import run_string_as_driver -from ray._common.test_utils import SignalActor # This tests the methods are executed in the correct eventloop. diff --git a/python/ray/tests/test_coordinator_server.py b/python/ray/tests/test_coordinator_server.py index 645b2d91c4e0..6d1fae41bc81 100644 --- a/python/ray/tests/test_coordinator_server.py +++ b/python/ray/tests/test_coordinator_server.py @@ -7,28 +7,28 @@ import pytest -from ray.autoscaler.local.coordinator_server import OnPremCoordinatorServer -from ray.autoscaler._private.providers import _NODE_PROVIDERS, _get_node_provider +from ray._common.network_utils import build_address +from ray._common.utils import get_ray_temp_dir from ray.autoscaler._private.local import config as local_config -from ray.autoscaler._private.local.node_provider import LocalNodeProvider -from ray.autoscaler._private.local.node_provider import ( - record_local_head_state_if_needed, -) from ray.autoscaler._private.local.coordinator_node_provider import ( CoordinatorSenderNodeProvider, ) -from ray._common.network_utils import build_address +from ray.autoscaler._private.local.node_provider import ( + LocalNodeProvider, + record_local_head_state_if_needed, +) +from ray.autoscaler._private.providers import _NODE_PROVIDERS, _get_node_provider +from ray.autoscaler.local.coordinator_server import OnPremCoordinatorServer from ray.autoscaler.tags import ( - TAG_RAY_NODE_KIND, + NODE_KIND_HEAD, + NODE_KIND_WORKER, + STATUS_UP_TO_DATE, TAG_RAY_CLUSTER_NAME, + TAG_RAY_NODE_KIND, TAG_RAY_NODE_NAME, - NODE_KIND_WORKER, - NODE_KIND_HEAD, - TAG_RAY_USER_NODE_TYPE, TAG_RAY_NODE_STATUS, - STATUS_UP_TO_DATE, + TAG_RAY_USER_NODE_TYPE, ) -from ray._common.utils import get_ray_temp_dir class OnPremCoordinatorServerTest(unittest.TestCase): diff --git a/python/ray/tests/test_core_worker_fault_tolerance.py b/python/ray/tests/test_core_worker_fault_tolerance.py index 578feab855b6..e66d90b2180a 100644 --- a/python/ray/tests/test_core_worker_fault_tolerance.py +++ b/python/ray/tests/test_core_worker_fault_tolerance.py @@ -1,6 +1,7 @@ -import ray import pytest +import ray + @pytest.mark.parametrize("deterministic_failure", ["request", "response"]) def test_get_object_status_rpc_retry_and_idempotency( diff --git a/python/ray/tests/test_cross_language.py b/python/ray/tests/test_cross_language.py index ca87cca5b3de..99cbf7dec7ce 100644 --- a/python/ray/tests/test_cross_language.py +++ b/python/ray/tests/test_cross_language.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + import ray import ray.cluster_utils diff --git a/python/ray/tests/test_dashboard.py b/python/ray/tests/test_dashboard.py index f7d23799304e..4f6d0e958a29 100644 --- a/python/ray/tests/test_dashboard.py +++ b/python/ray/tests/test_dashboard.py @@ -4,15 +4,16 @@ import sys import time -import psutil import pytest -from ray._common.test_utils import wait_for_condition import requests import ray +from ray._common.test_utils import wait_for_condition from ray._private import ray_constants from ray._private.test_utils import run_string_as_driver +import psutil + def search_agents(cluster): all_processes = cluster.head_node.all_processes diff --git a/python/ray/tests/test_dashboard_profiler.py b/python/ray/tests/test_dashboard_profiler.py index 0a261e5f5951..7beee86cfec2 100644 --- a/python/ray/tests/test_dashboard_profiler.py +++ b/python/ray/tests/test_dashboard_profiler.py @@ -1,9 +1,10 @@ -import pytest -import subprocess import os -import requests +import subprocess import sys +import pytest +import requests + import ray from ray._private.test_utils import ( format_web_url, diff --git a/python/ray/tests/test_debug_tools.py b/python/ray/tests/test_debug_tools.py index 6117d07a059d..4a3a60cbf46c 100644 --- a/python/ray/tests/test_debug_tools.py +++ b/python/ray/tests/test_debug_tools.py @@ -6,8 +6,8 @@ import pytest import ray -import ray._private.services as services import ray._private.ray_constants as ray_constants +import ray._private.services as services from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_distributed_sort.py b/python/ray/tests/test_distributed_sort.py index 036970f39179..6138e469ca2e 100644 --- a/python/ray/tests/test_distributed_sort.py +++ b/python/ray/tests/test_distributed_sort.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + from ray.experimental.raysort import main diff --git a/python/ray/tests/test_draining.py b/python/ray/tests/test_draining.py index c94eb8b5a92c..373fca4a8824 100644 --- a/python/ray/tests/test_draining.py +++ b/python/ray/tests/test_draining.py @@ -1,12 +1,13 @@ import sys +import time +from collections import Counter + import pytest import ray -import time -from collections import Counter +from ray._common.test_utils import SignalActor, wait_for_condition from ray._raylet import GcsClient from ray.core.generated import autoscaler_pb2, common_pb2 -from ray._common.test_utils import wait_for_condition, SignalActor from ray.util.scheduling_strategies import ( NodeAffinitySchedulingStrategy, PlacementGroupSchedulingStrategy, diff --git a/python/ray/tests/test_exit_observability.py b/python/ray/tests/test_exit_observability.py index 715b8b9ed2f3..1b74bed2035f 100644 --- a/python/ray/tests/test_exit_observability.py +++ b/python/ray/tests/test_exit_observability.py @@ -9,8 +9,8 @@ from ray._common.test_utils import wait_for_condition from ray._private.state_api_test_utils import verify_failed_task from ray._private.test_utils import run_string_as_driver -from ray.util.state import list_workers, list_nodes, list_tasks from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy +from ray.util.state import list_nodes, list_tasks, list_workers def get_worker_by_pid(pid, detail=True): diff --git a/python/ray/tests/test_experimental_collective.py b/python/ray/tests/test_experimental_collective.py index 2944be7b76c9..4a13813301e1 100644 --- a/python/ray/tests/test_experimental_collective.py +++ b/python/ray/tests/test_experimental_collective.py @@ -1,11 +1,11 @@ -import pytest import sys + +import pytest import torch import ray import ray.experimental.collective - SHAPE = (2, 2) DTYPE = torch.float16 diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index aa77f870e193..a63553b4539f 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -1,9 +1,9 @@ +import logging import os import signal import sys -import time -import logging import threading +import time import numpy as np import pytest @@ -18,7 +18,7 @@ get_error_message, init_error_pubsub, ) -from ray.exceptions import GetTimeoutError, RayActorError, RayTaskError, ActorDiedError +from ray.exceptions import ActorDiedError, GetTimeoutError, RayActorError, RayTaskError from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy diff --git a/python/ray/tests/test_failure_2.py b/python/ray/tests/test_failure_2.py index 83231a5bd0e4..2543e56b9602 100644 --- a/python/ray/tests/test_failure_2.py +++ b/python/ray/tests/test_failure_2.py @@ -10,15 +10,15 @@ import ray import ray._private.ray_constants as ray_constants import ray._private.utils -from ray._private.ray_constants import DEBUG_AUTOSCALING_ERROR from ray._common.network_utils import parse_address +from ray._common.test_utils import Semaphore, wait_for_condition +from ray._private.ray_constants import DEBUG_AUTOSCALING_ERROR from ray._private.test_utils import ( get_error_message, get_log_batch, init_error_pubsub, run_string_as_driver_nonblocking, ) -from ray._common.test_utils import Semaphore, wait_for_condition from ray.cluster_utils import cluster_not_supported from ray.experimental.internal_kv import _internal_kv_get diff --git a/python/ray/tests/test_failure_3.py b/python/ray/tests/test_failure_3.py index 759c8c38ada6..13facd165098 100644 --- a/python/ray/tests/test_failure_3.py +++ b/python/ray/tests/test_failure_3.py @@ -1,21 +1,22 @@ +import json import os -import sys import signal -import time +import sys import threading -import json +import time from pathlib import Path -import ray import numpy as np import pytest -import psutil +import ray +from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( - wait_for_pid_to_exit, run_string_as_driver_nonblocking, + wait_for_pid_to_exit, ) -from ray._common.test_utils import SignalActor, wait_for_condition + +import psutil SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM diff --git a/python/ray/tests/test_failure_4.py b/python/ray/tests/test_failure_4.py index 0c820b623751..7c3dd9552caa 100644 --- a/python/ray/tests/test_failure_4.py +++ b/python/ray/tests/test_failure_4.py @@ -4,24 +4,22 @@ import grpc import numpy as np -import psutil import pytest from grpc._channel import _InactiveRpcError -from ray.util.state import list_tasks -from ray._private.state_api_test_utils import verify_failed_task import ray import ray._private.ray_constants as ray_constants import ray.experimental.internal_kv as internal_kv from ray import NodeID +from ray._common.network_utils import build_address from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.state_api_test_utils import verify_failed_task from ray._private.test_utils import ( get_error_message, init_error_pubsub, - run_string_as_driver, kill_raylet, + run_string_as_driver, ) -from ray._common.network_utils import build_address from ray.cluster_utils import Cluster, cluster_not_supported from ray.core.generated import ( gcs_service_pb2, @@ -30,6 +28,9 @@ node_manager_pb2_grpc, ) from ray.exceptions import LocalRayletDiedError +from ray.util.state import list_tasks + +import psutil def search_raylet(cluster): diff --git a/python/ray/tests/test_gcs_fault_tolerance.py b/python/ray/tests/test_gcs_fault_tolerance.py index af14adf9a2d9..697bb51fed41 100644 --- a/python/ray/tests/test_gcs_fault_tolerance.py +++ b/python/ray/tests/test_gcs_fault_tolerance.py @@ -3,33 +3,33 @@ import signal import subprocess import sys -import time import tempfile +import time from concurrent.futures import ThreadPoolExecutor from typing import Any -from filelock import FileLock import pytest +from filelock import FileLock import ray -from ray._common.test_utils import wait_for_condition -from ray.autoscaler.v2.sdk import get_cluster_status -from ray.util.placement_group import placement_group -from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy import ray._private.gcs_utils as gcs_utils -from ray._private import ray_constants from ray._common.network_utils import parse_address +from ray._common.test_utils import wait_for_condition +from ray._private import ray_constants +from ray._private.runtime_env.plugin import RuntimeEnvPlugin from ray._private.test_utils import ( convert_actor_state, external_redis_test_enabled, generate_system_config_map, - wait_for_pid_to_exit, - run_string_as_driver, redis_sentinel_replicas, + run_string_as_driver, + wait_for_pid_to_exit, ) -from ray.job_submission import JobSubmissionClient, JobStatus from ray._raylet import GcsClient -from ray._private.runtime_env.plugin import RuntimeEnvPlugin +from ray.autoscaler.v2.sdk import get_cluster_status +from ray.job_submission import JobStatus, JobSubmissionClient +from ray.util.placement_group import placement_group +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray.util.state import list_placement_groups import psutil @@ -1008,6 +1008,7 @@ def test_redis_logs(external_redis): # assert "redis_context.cc" not in result.output finally: from click.testing import CliRunner + import ray.scripts.scripts as scripts runner = CliRunner(env={"RAY_USAGE_STATS_PROMPT_ENABLED": "0"}) diff --git a/python/ray/tests/test_gcs_ha_e2e_2.py b/python/ray/tests/test_gcs_ha_e2e_2.py index 2f8896b81dc7..e2b667913efd 100644 --- a/python/ray/tests/test_gcs_ha_e2e_2.py +++ b/python/ray/tests/test_gcs_ha_e2e_2.py @@ -1,6 +1,8 @@ -import pytest import sys from time import sleep + +import pytest + from ray._common.test_utils import wait_for_condition from ray.tests.conftest_docker import * # noqa diff --git a/python/ray/tests/test_gcs_pubsub.py b/python/ray/tests/test_gcs_pubsub.py index 4db3789cd81b..b769cb2a5da9 100644 --- a/python/ray/tests/test_gcs_pubsub.py +++ b/python/ray/tests/test_gcs_pubsub.py @@ -1,13 +1,14 @@ import asyncio +import re import sys import threading -import re + +import pytest import ray from ray._private.gcs_pubsub import ( GcsAioResourceUsageSubscriber, ) -import pytest def test_publish_and_subscribe_error_info(ray_start_regular): diff --git a/python/ray/tests/test_gcs_utils.py b/python/ray/tests/test_gcs_utils.py index 6ada3e99c4ad..7e102c42efca 100644 --- a/python/ray/tests/test_gcs_utils.py +++ b/python/ray/tests/test_gcs_utils.py @@ -6,19 +6,19 @@ import time import pytest -from ray._common.test_utils import async_wait_for_condition import redis import ray -from ray._raylet import GcsClient, NodeID import ray._private.gcs_utils as gcs_utils +import ray._private.ray_constants as ray_constants +from ray._common.network_utils import parse_address +from ray._common.test_utils import async_wait_for_condition from ray._private.test_utils import ( external_redis_test_enabled, find_free_port, generate_system_config_map, ) -from ray._common.network_utils import parse_address -import ray._private.ray_constants as ray_constants +from ray._raylet import GcsClient, NodeID # Import asyncio timeout depends on python version if sys.version_info >= (3, 11): diff --git a/python/ray/tests/test_generators.py b/python/ray/tests/test_generators.py index 417a491c8f30..74f14807cf43 100644 --- a/python/ray/tests/test_generators.py +++ b/python/ray/tests/test_generators.py @@ -1,18 +1,19 @@ -import pytest -import numpy as np +import gc import sys import time -import gc from unittest.mock import Mock +import numpy as np +import pytest + import ray -from ray.util.client.ray_client_helpers import ( - ray_start_client_server_for_address, +from ray._common.test_utils import ( + wait_for_condition, ) from ray._private.client_mode_hook import enable_client_mode from ray.tests.conftest import call_ray_start_context -from ray._common.test_utils import ( - wait_for_condition, +from ray.util.client.ray_client_helpers import ( + ray_start_client_server_for_address, ) diff --git a/python/ray/tests/test_get_or_create_actor.py b/python/ray/tests/test_get_or_create_actor.py index 490d9bc7a9a4..f30d66d654bc 100644 --- a/python/ray/tests/test_get_or_create_actor.py +++ b/python/ray/tests/test_get_or_create_actor.py @@ -1,5 +1,6 @@ -import sys import os +import sys + import pytest import ray diff --git a/python/ray/tests/test_global_gc.py b/python/ray/tests/test_global_gc.py index 204ecf56c601..ad3aca696ebb 100644 --- a/python/ray/tests/test_global_gc.py +++ b/python/ray/tests/test_global_gc.py @@ -9,8 +9,8 @@ import ray import ray.cluster_utils -from ray._private.internal_api import global_gc from ray._common.test_utils import wait_for_condition +from ray._private.internal_api import global_gc logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_global_state.py b/python/ray/tests/test_global_state.py index d786877fb2e4..dcf9654deea5 100644 --- a/python/ray/tests/test_global_state.py +++ b/python/ray/tests/test_global_state.py @@ -1,20 +1,20 @@ import os import sys import time -from typing import Optional, Dict +from typing import Dict, Optional import pytest import ray -from ray._common.test_utils import wait_for_condition import ray._private.gcs_utils as gcs_utils import ray._private.ray_constants -from ray._raylet import GcsClient -from ray.core.generated import autoscaler_pb2 +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( convert_actor_state, make_global_state_accessor, ) +from ray._raylet import GcsClient +from ray.core.generated import autoscaler_pb2 def test_replenish_resources(ray_start_regular): diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/test_gpu_objects_gloo.py index 6298dbcac4b8..1349dc09f4da 100644 --- a/python/ray/tests/test_gpu_objects_gloo.py +++ b/python/ray/tests/test_gpu_objects_gloo.py @@ -1,14 +1,15 @@ -import sys import random -import torch -import pytest +import sys import threading -import ray import time -from ray.experimental.collective import create_collective_group + +import pytest +import torch + +import ray +from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.custom_types import TensorTransportEnum -from ray._common.test_utils import wait_for_condition -from ray._common.test_utils import SignalActor +from ray.experimental.collective import create_collective_group # tensordict is not supported on macos ci, so we skip the tests support_tensordict = sys.platform != "darwin" diff --git a/python/ray/tests/test_gpu_objects_nccl.py b/python/ray/tests/test_gpu_objects_nccl.py index f3e8bc409f20..7c2307871733 100644 --- a/python/ray/tests/test_gpu_objects_nccl.py +++ b/python/ray/tests/test_gpu_objects_nccl.py @@ -1,6 +1,8 @@ import sys -import torch + import pytest +import torch + import ray from ray.experimental.collective import create_collective_group diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/test_gpu_objects_nixl.py index 3a65e8ea7eb9..1b429ea05fc9 100644 --- a/python/ray/tests/test_gpu_objects_nixl.py +++ b/python/ray/tests/test_gpu_objects_nixl.py @@ -1,6 +1,8 @@ import sys -import torch + import pytest +import torch + import ray diff --git a/python/ray/tests/test_grpc_client_credentials.py b/python/ray/tests/test_grpc_client_credentials.py index 7109ac9fe0dd..910ca0e8a84d 100644 --- a/python/ray/tests/test_grpc_client_credentials.py +++ b/python/ray/tests/test_grpc_client_credentials.py @@ -1,7 +1,7 @@ import sys -import pytest import grpc +import pytest from ray.util.client.worker import Worker diff --git a/python/ray/tests/test_healthcheck.py b/python/ray/tests/test_healthcheck.py index 86e83c40674d..f9eac95143e8 100644 --- a/python/ray/tests/test_healthcheck.py +++ b/python/ray/tests/test_healthcheck.py @@ -5,12 +5,13 @@ import sys import time -import psutil import pytest import ray from ray._private import ray_constants +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_ids.py b/python/ray/tests/test_ids.py index a33407e20c95..024d5677d66c 100644 --- a/python/ray/tests/test_ids.py +++ b/python/ray/tests/test_ids.py @@ -1,17 +1,19 @@ -import sys import os +import sys + +import pytest + from ray import ( + ActorClassID, ActorID, + ClusterID, + FunctionID, JobID, - TaskID, NodeID, - WorkerID, - FunctionID, - ActorClassID, - ClusterID, PlacementGroupID, + TaskID, + WorkerID, ) -import pytest @pytest.mark.parametrize( diff --git a/python/ray/tests/test_iter.py b/python/ray/tests/test_iter.py index 979be1d744ae..3c8f011baf18 100644 --- a/python/ray/tests/test_iter.py +++ b/python/ray/tests/test_iter.py @@ -1,19 +1,20 @@ +import collections import sys import time -import collections from collections import Counter + import pytest import ray +from ray._common.test_utils import Semaphore from ray.util.iter import ( + LocalIterator, + ParallelIteratorWorker, + from_actors, from_items, from_iterators, from_range, - from_actors, - ParallelIteratorWorker, - LocalIterator, ) -from ray._common.test_utils import Semaphore def test_select_shards(ray_start_regular_shared): diff --git a/python/ray/tests/test_job.py b/python/ray/tests/test_job.py index 16e5071381c9..4f2efb9494db 100644 --- a/python/ray/tests/test_job.py +++ b/python/ray/tests/test_job.py @@ -1,28 +1,27 @@ +import json import os +import re import subprocess import sys import tempfile import time -import re -import json - -from subprocess import Popen, PIPE, STDOUT, list2cmdline +from subprocess import PIPE, STDOUT, Popen, list2cmdline from typing import List -import pytest -from ray._common.test_utils import wait_for_condition -import ray.cloudpickle as pickle +import pytest import ray +import ray.cloudpickle as pickle +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( + format_web_url, run_string_as_driver, run_string_as_driver_nonblocking, - format_web_url, wait_for_pid_to_exit, ) +from ray.dashboard.modules.job.pydantic_models import JobDetails from ray.job_config import JobConfig, LoggingConfig from ray.job_submission import JobStatus, JobSubmissionClient -from ray.dashboard.modules.job.pydantic_models import JobDetails def execute_driver(commands: List[str], input: bytes = None): diff --git a/python/ray/tests/test_joblib.py b/python/ray/tests/test_joblib.py index 48b7fffa93d6..8d35e148ce76 100644 --- a/python/ray/tests/test_joblib.py +++ b/python/ray/tests/test_joblib.py @@ -1,30 +1,26 @@ +import os +import pickle import sys import time -import os from unittest import mock import joblib -import pickle -import pytest import numpy as np - +import pytest from sklearn.datasets import load_digits, load_iris -from sklearn.model_selection import RandomizedSearchCV -from sklearn.ensemble import ExtraTreesClassifier -from sklearn.ensemble import RandomForestClassifier -from sklearn.kernel_approximation import Nystroem -from sklearn.kernel_approximation import RBFSampler -from sklearn.pipeline import make_pipeline -from sklearn.svm import LinearSVC, SVC -from sklearn.tree import DecisionTreeClassifier +from sklearn.ensemble import ExtraTreesClassifier, RandomForestClassifier +from sklearn.kernel_approximation import Nystroem, RBFSampler from sklearn.linear_model import LogisticRegression +from sklearn.model_selection import RandomizedSearchCV, cross_val_score from sklearn.neural_network import MLPClassifier -from sklearn.model_selection import cross_val_score +from sklearn.pipeline import make_pipeline +from sklearn.svm import SVC, LinearSVC +from sklearn.tree import DecisionTreeClassifier import ray +from ray._common.test_utils import wait_for_condition from ray.util.joblib import register_ray from ray.util.joblib.ray_backend import RayBackend -from ray._common.test_utils import wait_for_condition def test_register_ray(): diff --git a/python/ray/tests/test_kill_raylet_signal_log.py b/python/ray/tests/test_kill_raylet_signal_log.py index 28670507ada8..651caa5bb44a 100644 --- a/python/ray/tests/test_kill_raylet_signal_log.py +++ b/python/ray/tests/test_kill_raylet_signal_log.py @@ -1,13 +1,14 @@ import signal import sys -# Import psutil after ray so the packaged version is used. -import psutil import pytest import ray from ray._common.test_utils import wait_for_condition +# Import psutil after ray so the packaged version is used. +import psutil + def get_pid(name): pids = psutil.process_iter() diff --git a/python/ray/tests/test_kill_subprocesses.py b/python/ray/tests/test_kill_subprocesses.py index 9defa7fc5108..e83db14f4780 100644 --- a/python/ray/tests/test_kill_subprocesses.py +++ b/python/ray/tests/test_kill_subprocesses.py @@ -1,14 +1,17 @@ -import ray -import pytest -import multiprocessing -import subprocess -import time -import psutil import logging +import multiprocessing import os +import subprocess import sys +import time + +import pytest + +import ray from ray._common.test_utils import wait_for_condition +import psutil + logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_label_utils.py b/python/ray/tests/test_label_utils.py index 8d6c3226cd22..24c78685e6e2 100644 --- a/python/ray/tests/test_label_utils.py +++ b/python/ray/tests/test_label_utils.py @@ -1,22 +1,22 @@ -from contextlib import contextmanager import json import os import sys import tempfile +from contextlib import contextmanager from typing import ContextManager, Dict, Optional, Union import pytest from ray._private.label_utils import ( + parse_node_labels_from_yaml_file, parse_node_labels_json, parse_node_labels_string, - parse_node_labels_from_yaml_file, - validate_node_labels, validate_label_key, - validate_label_value, validate_label_selector, validate_label_selector_value, + validate_label_value, validate_node_label_syntax, + validate_node_labels, ) diff --git a/python/ray/tests/test_list_actors.py b/python/ray/tests/test_list_actors.py index d937af64fcd2..305749d703c9 100644 --- a/python/ray/tests/test_list_actors.py +++ b/python/ray/tests/test_list_actors.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + import ray from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_list_actors_2.py b/python/ray/tests/test_list_actors_2.py index dca2e27e9685..cc303ff7089a 100644 --- a/python/ray/tests/test_list_actors_2.py +++ b/python/ray/tests/test_list_actors_2.py @@ -1,7 +1,8 @@ import os -import pytest import sys +import pytest + import ray from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_list_actors_3.py b/python/ray/tests/test_list_actors_3.py index dd3a416459d1..4e1484512882 100644 --- a/python/ray/tests/test_list_actors_3.py +++ b/python/ray/tests/test_list_actors_3.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + import ray from ray._private.test_utils import run_string_as_driver diff --git a/python/ray/tests/test_list_actors_4.py b/python/ray/tests/test_list_actors_4.py index 0527de580b2d..e8dc604ac6c1 100644 --- a/python/ray/tests/test_list_actors_4.py +++ b/python/ray/tests/test_list_actors_4.py @@ -1,8 +1,9 @@ import asyncio -import pytest import sys import time +import pytest + import ray from ray._private.test_utils import run_string_as_driver diff --git a/python/ray/tests/test_logging.py b/python/ray/tests/test_logging.py index e3cd9160fccc..837ebd9b8e95 100644 --- a/python/ray/tests/test_logging.py +++ b/python/ray/tests/test_logging.py @@ -1,16 +1,16 @@ import io +import logging import os import re import subprocess import sys import tempfile import time -import logging from collections import Counter, defaultdict from contextlib import redirect_stderr, redirect_stdout from pathlib import Path from typing import Dict, List, Tuple -from unittest.mock import Mock, MagicMock, patch +from unittest.mock import MagicMock, Mock, patch import colorama import pytest @@ -18,6 +18,13 @@ import ray from ray._common.test_utils import wait_for_condition from ray._private import ray_constants +from ray._private.log_monitor import ( + LOG_NAME_UPDATE_INTERVAL_S, + RAY_LOG_MONITOR_MANY_FILES_THRESHOLD, + LogFileInfo, + LogMonitor, + is_proc_alive, +) from ray._private.ray_constants import ( PROCESS_TYPE_DASHBOARD, PROCESS_TYPE_DASHBOARD_AGENT, @@ -26,30 +33,23 @@ PROCESS_TYPE_MONITOR, PROCESS_TYPE_PYTHON_CORE_WORKER, PROCESS_TYPE_PYTHON_CORE_WORKER_DRIVER, - PROCESS_TYPE_RAYLET, PROCESS_TYPE_RAY_CLIENT_SERVER, + PROCESS_TYPE_RAYLET, PROCESS_TYPE_REAPER, PROCESS_TYPE_REDIS_SERVER, PROCESS_TYPE_RUNTIME_ENV_AGENT, PROCESS_TYPE_WORKER, ) -from ray._private.log_monitor import ( - LOG_NAME_UPDATE_INTERVAL_S, - RAY_LOG_MONITOR_MANY_FILES_THRESHOLD, - LogFileInfo, - LogMonitor, - is_proc_alive, -) from ray._private.test_utils import ( get_log_batch, - get_log_message, get_log_data, + get_log_message, init_log_pubsub, run_string_as_driver, ) -from ray.cross_language import java_actor_class -from ray.autoscaler._private.cli_logger import cli_logger from ray._private.worker import print_worker_logs +from ray.autoscaler._private.cli_logger import cli_logger +from ray.cross_language import java_actor_class def set_logging_config(monkeypatch, max_bytes, backup_count): diff --git a/python/ray/tests/test_logging_2.py b/python/ray/tests/test_logging_2.py index 69bc24c8bdd1..11cca61fb1cf 100644 --- a/python/ray/tests/test_logging_2.py +++ b/python/ray/tests/test_logging_2.py @@ -1,10 +1,11 @@ -import logging.config -import pytest -import ray +import json import logging +import logging.config import sys -import json +import pytest + +import ray from ray._private.ray_logging.filters import CoreContextFilter from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray._private.ray_logging.logging_config import LoggingConfig diff --git a/python/ray/tests/test_memory_deadlock.py b/python/ray/tests/test_memory_deadlock.py index 132455b63a34..fc94f19d32f8 100644 --- a/python/ray/tests/test_memory_deadlock.py +++ b/python/ray/tests/test_memory_deadlock.py @@ -4,13 +4,12 @@ import pytest import ray - from ray.tests.test_memory_pressure import ( - allocate_memory, Leaker, + allocate_memory, get_additional_bytes_to_reach_memory_usage_pct, - memory_usage_threshold, memory_monitor_refresh_ms, + memory_usage_threshold, ) diff --git a/python/ray/tests/test_memory_pressure.py b/python/ray/tests/test_memory_pressure.py index 70264a1ca097..864ba040a673 100644 --- a/python/ray/tests/test_memory_pressure.py +++ b/python/ray/tests/test_memory_pressure.py @@ -1,24 +1,21 @@ -from math import ceil import sys import time +from math import ceil +import numpy as np import pytest import ray from ray._common.test_utils import wait_for_condition +from ray._common.utils import get_system_memory from ray._private import ( ray_constants, ) +from ray._private.state_api_test_utils import verify_failed_task from ray._private.test_utils import raw_metrics - -import numpy as np -from ray._common.utils import get_system_memory from ray._private.utils import get_used_memory -from ray._private.state_api_test_utils import verify_failed_task - from ray.util.state.state_manager import StateDataSourceClient - memory_usage_threshold = 0.5 task_oom_retries = 1 memory_monitor_refresh_ms = 100 diff --git a/python/ray/tests/test_memory_scheduling.py b/python/ray/tests/test_memory_scheduling.py index 73876a902705..cc9eb979ca80 100644 --- a/python/ray/tests/test_memory_scheduling.py +++ b/python/ray/tests/test_memory_scheduling.py @@ -1,8 +1,8 @@ import sys import time -import pytest import numpy as np +import pytest import ray from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_memstat.py b/python/ray/tests/test_memstat.py index 60ac96d71443..9d701441c887 100644 --- a/python/ray/tests/test_memstat.py +++ b/python/ray/tests/test_memstat.py @@ -6,9 +6,8 @@ import pytest import ray +from ray._common.test_utils import Semaphore, wait_for_condition from ray._private.internal_api import memory_summary -from ray._common.test_utils import wait_for_condition -from ray._common.test_utils import Semaphore from ray.cluster_utils import Cluster, cluster_not_supported # RayConfig to enable recording call sites during ObjectRej creations. diff --git a/python/ray/tests/test_metrics.py b/python/ray/tests/test_metrics.py index ecc937fa9453..870b24d86e85 100644 --- a/python/ray/tests/test_metrics.py +++ b/python/ray/tests/test_metrics.py @@ -2,19 +2,20 @@ import platform import sys -import psutil import pytest -from ray._common.test_utils import wait_for_condition import requests import ray +from ray._common.network_utils import build_address +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( - wait_until_succeeded_without_exception, get_node_stats, + wait_until_succeeded_without_exception, ) -from ray._common.network_utils import build_address from ray.core.generated import common_pb2 +import psutil + _WIN32 = os.name == "nt" diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 9767ba79091d..253386c5ac94 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -1,11 +1,10 @@ -import time -import signal import json import os import pathlib -import sys import re -import requests +import signal +import sys +import time import warnings from collections import defaultdict from pprint import pformat @@ -13,35 +12,38 @@ import numpy as np import pytest - +import requests from google.protobuf.timestamp_pb2 import Timestamp + import ray -from ray.dashboard.modules.aggregator.tests.test_aggregator_agent import ( - get_event_aggregator_grpc_stub, -) -from ray.core.generated.common_pb2 import TaskAttempt -from ray.core.generated.events_base_event_pb2 import RayEvent -from ray.core.generated.events_event_aggregator_service_pb2 import ( - AddEventsRequest, - RayEventsData, - TaskEventsMetadata, +from ray._common.network_utils import build_address +from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.metrics_agent import ( + Gauge as MetricsAgentGauge, + PrometheusServiceDiscoveryWriter, ) -from ray.util.state import list_nodes -from ray._private.metrics_agent import PrometheusServiceDiscoveryWriter -from ray._private.metrics_agent import Gauge as MetricsAgentGauge from ray._private.ray_constants import PROMETHEUS_SERVICE_DISCOVERY_FILE -from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( fetch_prometheus, fetch_prometheus_metrics, + find_free_port, get_log_batch, raw_metrics, - find_free_port, ) -from ray._common.network_utils import build_address from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT +from ray.core.generated.common_pb2 import TaskAttempt +from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.core.generated.events_event_aggregator_service_pb2 import ( + AddEventsRequest, + RayEventsData, + TaskEventsMetadata, +) from ray.dashboard.consts import DASHBOARD_METRIC_PORT +from ray.dashboard.modules.aggregator.tests.test_aggregator_agent import ( + get_event_aggregator_grpc_stub, +) from ray.util.metrics import Counter, Gauge, Histogram, Metric +from ray.util.state import list_nodes os.environ["RAY_event_stats"] = "1" diff --git a/python/ray/tests/test_metrics_agent_2.py b/python/ray/tests/test_metrics_agent_2.py index 7da1ded7a348..cbe859930e5c 100644 --- a/python/ray/tests/test_metrics_agent_2.py +++ b/python/ray/tests/test_metrics_agent_2.py @@ -1,46 +1,45 @@ import random import sys import time - -import pytest - -from ray._common.test_utils import wait_for_condition -import ray._private.prometheus_exporter as prometheus_exporter - from typing import List +import pytest from opencensus.metrics.export.metric_descriptor import MetricDescriptorType -from opencensus.stats.view_manager import ViewManager -from opencensus.stats.stats_recorder import StatsRecorder +from opencensus.metrics.export.value import ValueDouble from opencensus.stats import execution_context -from prometheus_client.core import REGISTRY - - -from ray._private.metrics_agent import Gauge, MetricsAgent, Record, RAY_WORKER_TIMEOUT_S from opencensus.stats.aggregation_data import ( - LastValueAggregationData, - SumAggregationData, CountAggregationData, DistributionAggregationData, + LastValueAggregationData, + SumAggregationData, ) -from opencensus.metrics.export.value import ValueDouble -from ray._private.telemetry.metric_cardinality import WORKER_ID_TAG_KEY +from opencensus.stats.stats_recorder import StatsRecorder +from opencensus.stats.view_manager import ViewManager +from prometheus_client.core import REGISTRY + +import ray._private.prometheus_exporter as prometheus_exporter +from ray._common.test_utils import wait_for_condition from ray._private.metrics_agent import ( + RAY_WORKER_TIMEOUT_S, + Gauge, + MetricsAgent, OpenCensusProxyCollector, OpencensusProxyMetric, + Record, +) +from ray._private.telemetry.metric_cardinality import WORKER_ID_TAG_KEY +from ray._private.test_utils import ( + fetch_prometheus_metrics, + fetch_raw_prometheus, ) +from ray._raylet import WorkerID from ray.core.generated.metrics_pb2 import ( + LabelKey, + LabelValue, Metric, MetricDescriptor, Point, - LabelKey, TimeSeries, - LabelValue, -) -from ray._raylet import WorkerID -from ray._private.test_utils import ( - fetch_prometheus_metrics, - fetch_raw_prometheus, ) diff --git a/python/ray/tests/test_metrics_head.py b/python/ray/tests/test_metrics_head.py index 0a7f6133ab99..88bd84b94204 100644 --- a/python/ray/tests/test_metrics_head.py +++ b/python/ray/tests/test_metrics_head.py @@ -2,10 +2,13 @@ import json import logging import os -import pytest import sys import tempfile +import pytest + +from ray._common.utils import get_ray_temp_dir +from ray._private.ray_constants import SESSION_LATEST from ray.dashboard.modules.metrics.dashboards.default_dashboard_panels import ( DEFAULT_GRAFANA_ROWS, ) @@ -13,9 +16,6 @@ SERVE_GRAFANA_PANELS, ) from ray.tests.conftest import _ray_start -from ray._private.ray_constants import SESSION_LATEST -from ray._common.utils import get_ray_temp_dir - logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_minimal_install.py b/python/ray/tests/test_minimal_install.py index a1da0d51648b..50940b817ffa 100644 --- a/python/ray/tests/test_minimal_install.py +++ b/python/ray/tests/test_minimal_install.py @@ -3,13 +3,13 @@ Tests that are specific to minimal installations. """ -import unittest.mock as mock import itertools -import packaging import os import sys +import unittest.mock as mock from typing import Dict +import packaging import pytest @@ -94,8 +94,7 @@ def test_module_import_with_various_non_minimal_deps(pydantic_version: str): mock_modules[mod] = mock.MagicMock() with mock.patch.dict("sys.modules", mock_modules): - from ray.dashboard.utils import get_all_modules - from ray.dashboard.utils import DashboardHeadModule + from ray.dashboard.utils import DashboardHeadModule, get_all_modules get_all_modules(DashboardHeadModule) diff --git a/python/ray/tests/test_mpi.py b/python/ray/tests/test_mpi.py index e806b3f3e1c5..e204da4191d4 100644 --- a/python/ray/tests/test_mpi.py +++ b/python/ray/tests/test_mpi.py @@ -1,8 +1,10 @@ -import pytest -import ray -import sys import os +import sys + import numpy +import pytest + +import ray from ray.runtime_env import mpi_init @@ -91,9 +93,10 @@ def calc_pi(self): def check_gpu_setup(): - from mpi4py import MPI import os + from mpi4py import MPI + mpi_init() comm = MPI.COMM_WORLD rank = comm.Get_rank() diff --git a/python/ray/tests/test_multi_node.py b/python/ray/tests/test_multi_node.py index 52acfa85bad5..a687c1f2290a 100644 --- a/python/ray/tests/test_multi_node.py +++ b/python/ray/tests/test_multi_node.py @@ -2,7 +2,6 @@ import sys import time -import psutil import pytest import ray @@ -16,6 +15,8 @@ run_string_as_driver_nonblocking, ) +import psutil + @pytest.mark.parametrize( "call_ray_start", diff --git a/python/ray/tests/test_multi_node_3.py b/python/ray/tests/test_multi_node_3.py index f741baa7bef0..cc10937d17e8 100644 --- a/python/ray/tests/test_multi_node_3.py +++ b/python/ray/tests/test_multi_node_3.py @@ -4,24 +4,25 @@ import sys from pathlib import Path -import psutil import pytest import ray import ray._private.ray_constants as ray_constants +from ray._common.test_utils import Semaphore from ray._private.test_utils import ( check_call_ray, check_call_subprocess, kill_process_by_name, - start_redis_instance, run_string_as_driver, run_string_as_driver_nonblocking, + start_redis_instance, wait_for_children_of_pid, wait_for_children_of_pid_to_exit, ) -from ray._common.test_utils import Semaphore from ray._private.utils import detect_fate_sharing_support +import psutil + def test_calling_start_ray_head(call_ray_stop_only): # Test that we can call ray start with various command line diff --git a/python/ray/tests/test_multi_tenancy.py b/python/ray/tests/test_multi_tenancy.py index b4458f8f2d59..608fd5078184 100644 --- a/python/ray/tests/test_multi_tenancy.py +++ b/python/ray/tests/test_multi_tenancy.py @@ -6,8 +6,8 @@ import time from typing import List -import pytest import numpy as np +import pytest import ray from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_multinode_failures.py b/python/ray/tests/test_multinode_failures.py index 8faa98513a50..30824cae483b 100644 --- a/python/ray/tests/test_multinode_failures.py +++ b/python/ray/tests/test_multinode_failures.py @@ -7,8 +7,8 @@ import ray import ray._private.ray_constants as ray_constants -from ray._private.test_utils import get_other_nodes from ray._common.test_utils import Semaphore +from ray._private.test_utils import get_other_nodes from ray.cluster_utils import Cluster, cluster_not_supported SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM diff --git a/python/ray/tests/test_multiprocessing.py b/python/ray/tests/test_multiprocessing.py index 947cb173c230..5d1c89ef0d70 100644 --- a/python/ray/tests/test_multiprocessing.py +++ b/python/ray/tests/test_multiprocessing.py @@ -3,6 +3,7 @@ Tests that require a standalone Ray cluster (for example, testing ray.init or shutdown behavior) should go in test_multiprocessing_standalone.py. """ +import multiprocessing as mp import os import platform import queue @@ -10,15 +11,13 @@ import sys import tempfile import time -import multiprocessing as mp from collections import defaultdict import pytest - import ray from ray._common.test_utils import SignalActor -from ray.util.multiprocessing import Pool, TimeoutError, JoinableQueue +from ray.util.multiprocessing import JoinableQueue, Pool, TimeoutError @pytest.fixture(scope="module") diff --git a/python/ray/tests/test_multiprocessing_standalone.py b/python/ray/tests/test_multiprocessing_standalone.py index dec1d956b8f4..1b41f1c08991 100644 --- a/python/ray/tests/test_multiprocessing_standalone.py +++ b/python/ray/tests/test_multiprocessing_standalone.py @@ -3,13 +3,12 @@ Tests that can run on a shared Ray cluster fixture should go in test_multiprocessing.py """ import math +import multiprocessing as mp import os import sys -import multiprocessing as mp import pytest - import ray from ray._private.test_utils import external_redis_test_enabled from ray.util.multiprocessing import Pool diff --git a/python/ray/tests/test_nccl_channel.py b/python/ray/tests/test_nccl_channel.py index 786960999491..555d06cb83a6 100644 --- a/python/ray/tests/test_nccl_channel.py +++ b/python/ray/tests/test_nccl_channel.py @@ -1,23 +1,23 @@ # coding: utf-8 import logging import sys -import torch -from typing import List, Dict, Tuple +from typing import Dict, List, Tuple import pytest +import torch import ray import ray.cluster_utils +from ray._private.test_utils import get_actor_node_id from ray.experimental.channel.conftest import ( Barrier, - start_nccl_mock, TracedChannel, + start_nccl_mock, ) -from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.experimental.channel.torch_tensor_accelerator_channel import ( _init_communicator, ) -from ray._private.test_utils import get_actor_node_id +from ray.experimental.channel.torch_tensor_type import TorchTensorType logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_network_failure_e2e.py b/python/ray/tests/test_network_failure_e2e.py index 59b1403f8aeb..39c56e4bd03d 100644 --- a/python/ray/tests/test_network_failure_e2e.py +++ b/python/ray/tests/test_network_failure_e2e.py @@ -1,14 +1,14 @@ -import sys import json - +import sys +import threading from time import sleep + import pytest -import threading + from ray._common.test_utils import wait_for_condition from ray.tests.conftest_docker import * # noqa from ray.tests.conftest_docker import gen_head_node, gen_worker_node - SLEEP_TASK_SCRIPTS = """ import ray ray.init() diff --git a/python/ray/tests/test_node_death.py b/python/ray/tests/test_node_death.py index 66d3cad6ed1f..f12abc31e83c 100644 --- a/python/ray/tests/test_node_death.py +++ b/python/ray/tests/test_node_death.py @@ -1,8 +1,8 @@ import sys + import pytest import ray - from ray._common.test_utils import wait_for_condition from ray.core.generated import common_pb2 diff --git a/python/ray/tests/test_node_label_scheduling_strategy.py b/python/ray/tests/test_node_label_scheduling_strategy.py index d13fc587ac08..4b3f0dadb272 100644 --- a/python/ray/tests/test_node_label_scheduling_strategy.py +++ b/python/ray/tests/test_node_label_scheduling_strategy.py @@ -1,13 +1,14 @@ import sys + import pytest import ray from ray.util.scheduling_strategies import ( - In, - NotIn, - Exists, DoesNotExist, + Exists, + In, NodeLabelSchedulingStrategy, + NotIn, ) diff --git a/python/ray/tests/test_node_labels.py b/python/ray/tests/test_node_labels.py index 02e2b9630b85..ae94aadef6d2 100644 --- a/python/ray/tests/test_node_labels.py +++ b/python/ray/tests/test_node_labels.py @@ -1,14 +1,15 @@ import os -import sys -import pytest import subprocess +import sys import tempfile from unittest.mock import patch -from ray._private.accelerators.tpu import TPUAcceleratorManager + +import pytest import ray -from ray.cluster_utils import AutoscalingCluster from ray._common.test_utils import wait_for_condition +from ray._private.accelerators.tpu import TPUAcceleratorManager +from ray.cluster_utils import AutoscalingCluster def check_cmd_stderr(cmd): diff --git a/python/ray/tests/test_node_manager.py b/python/ray/tests/test_node_manager.py index d859ae135286..75fec392d2c0 100644 --- a/python/ray/tests/test_node_manager.py +++ b/python/ray/tests/test_node_manager.py @@ -12,17 +12,16 @@ import ray from ray._common.test_utils import wait_for_condition -from ray.util.state import list_workers +from ray._private.runtime_env.context import RuntimeEnvContext +from ray._private.runtime_env.plugin import RuntimeEnvPlugin from ray._private.test_utils import ( get_load_metrics_report, + get_resource_usage, run_string_as_driver, run_string_as_driver_nonblocking, - get_resource_usage, ) -from ray.util.state import list_objects from ray._private.utils import get_num_cpus -from ray._private.runtime_env.context import RuntimeEnvContext -from ray._private.runtime_env.plugin import RuntimeEnvPlugin +from ray.util.state import list_objects, list_workers # This tests the queue transitions for infeasible tasks. This has been an issue diff --git a/python/ray/tests/test_node_provider_availability_tracker.py b/python/ray/tests/test_node_provider_availability_tracker.py index 448c7500cd2f..9512bc7b2010 100644 --- a/python/ray/tests/test_node_provider_availability_tracker.py +++ b/python/ray/tests/test_node_provider_availability_tracker.py @@ -1,16 +1,16 @@ -import datetime import dataclasses +import datetime import sys + import pytest -from ray.autoscaler.node_launch_exception import NodeLaunchException from ray.autoscaler._private.node_provider_availability_tracker import ( - NodeProviderAvailabilityTracker, - NodeAvailabilitySummary, NodeAvailabilityRecord, + NodeAvailabilitySummary, + NodeProviderAvailabilityTracker, UnavailableNodeInformation, ) - +from ray.autoscaler.node_launch_exception import NodeLaunchException cur_time = float(0) diff --git a/python/ray/tests/test_numba.py b/python/ray/tests/test_numba.py index 182684f1f212..7f2ab2800640 100644 --- a/python/ray/tests/test_numba.py +++ b/python/ray/tests/test_numba.py @@ -1,10 +1,9 @@ -import pytest import sys import unittest - -from numba import njit import numpy as np +import pytest +from numba import njit import ray diff --git a/python/ray/tests/test_object_assign_owner.py b/python/ray/tests/test_object_assign_owner.py index de7a4ca76759..af39e5e65ae4 100644 --- a/python/ray/tests/test_object_assign_owner.py +++ b/python/ray/tests/test_object_assign_owner.py @@ -1,8 +1,8 @@ import sys import time -import pytest import numpy as np +import pytest import ray from ray.exceptions import OwnerDiedError diff --git a/python/ray/tests/test_object_spilling.py b/python/ray/tests/test_object_spilling.py index e219a564cc37..f1a2c9741d99 100644 --- a/python/ray/tests/test_object_spilling.py +++ b/python/ray/tests/test_object_spilling.py @@ -1,35 +1,35 @@ import copy import json +import os import platform import random import sys from datetime import datetime, timedelta -from unittest.mock import patch from pathlib import Path -import os +from unittest.mock import patch -import psutil import numpy as np import pytest - import ray +import ray.remote_function +from ray._common.test_utils import wait_for_condition from ray._private.external_storage import ( + ExternalStorageSmartOpenImpl, + FileSystemStorage, + _get_unique_spill_filename, create_url_with_offset, parse_url_with_offset, - _get_unique_spill_filename, - FileSystemStorage, - ExternalStorageSmartOpenImpl, ) from ray._private.internal_api import memory_summary -from ray._common.test_utils import wait_for_condition -import ray.remote_function from ray.tests.conftest import ( buffer_object_spilling_config, file_system_object_spilling_config, mock_distributed_fs_object_spilling_config, ) +import psutil + # Note: Disk write speed can be as low as 6 MiB/s in AWS Mac instances, so we have to # increase the timeout. pytestmark = [pytest.mark.timeout(900 if platform.system() == "Darwin" else 180)] diff --git a/python/ray/tests/test_object_spilling_2.py b/python/ray/tests/test_object_spilling_2.py index 7828edb96e51..c44404f03e5e 100644 --- a/python/ray/tests/test_object_spilling_2.py +++ b/python/ray/tests/test_object_spilling_2.py @@ -10,12 +10,11 @@ import ray from ray._common.test_utils import wait_for_condition -from ray._private.test_utils import run_string_as_driver -from ray.tests.test_object_spilling import is_dir_empty from ray._private.external_storage import ( FileSystemStorage, ) - +from ray._private.test_utils import run_string_as_driver +from ray.tests.test_object_spilling import is_dir_empty # Note: Disk write speed can be as low as 6 MiB/s in AWS Mac instances, so we have to # increase the timeout. diff --git a/python/ray/tests/test_object_store_metrics.py b/python/ray/tests/test_object_store_metrics.py index c1c5c4eebff2..a2070c4665c2 100644 --- a/python/ray/tests/test_object_store_metrics.py +++ b/python/ray/tests/test_object_store_metrics.py @@ -2,12 +2,12 @@ from collections import defaultdict from typing import Dict +import numpy as np import pytest -from ray._common.test_utils import wait_for_condition import requests -import numpy as np import ray +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( raw_metrics, ) diff --git a/python/ray/tests/test_open_telemetry_metric_recorder.py b/python/ray/tests/test_open_telemetry_metric_recorder.py index e20b24563a6a..81095041a42c 100644 --- a/python/ray/tests/test_open_telemetry_metric_recorder.py +++ b/python/ray/tests/test_open_telemetry_metric_recorder.py @@ -2,12 +2,12 @@ from unittest.mock import MagicMock, patch import pytest -from opentelemetry.metrics import NoOpCounter, NoOpUpDownCounter, NoOpHistogram +from opentelemetry.metrics import NoOpCounter, NoOpHistogram, NoOpUpDownCounter +from ray._private.metrics_agent import Gauge, Record from ray._private.telemetry.open_telemetry_metric_recorder import ( OpenTelemetryMetricRecorder, ) -from ray._private.metrics_agent import Record, Gauge @patch("opentelemetry.metrics.set_meter_provider") diff --git a/python/ray/tests/test_placement_group.py b/python/ray/tests/test_placement_group.py index 8dca2c15f135..6cbc51ca12be 100644 --- a/python/ray/tests/test_placement_group.py +++ b/python/ray/tests/test_placement_group.py @@ -1,19 +1,19 @@ +import os import sys import warnings -import os import pytest import ray -from ray._private.utils import get_ray_doc_version from ray._private.test_utils import placement_group_assert_no_leak -from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy +from ray._private.utils import get_ray_doc_version from ray.util.placement_group import ( - validate_placement_group, - _validate_bundles, - _validate_bundle_label_selector, VALID_PLACEMENT_GROUP_STRATEGIES, + _validate_bundle_label_selector, + _validate_bundles, + validate_placement_group, ) +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy def are_pairwise_unique(g): diff --git a/python/ray/tests/test_placement_group_2.py b/python/ray/tests/test_placement_group_2.py index e71d2968c628..a23a3bcba118 100644 --- a/python/ray/tests/test_placement_group_2.py +++ b/python/ray/tests/test_placement_group_2.py @@ -4,9 +4,9 @@ import pytest import ray -from ray._common.test_utils import wait_for_condition import ray._private.gcs_utils as gcs_utils import ray.cluster_utils +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( convert_actor_state, generate_system_config_map, diff --git a/python/ray/tests/test_placement_group_3.py b/python/ray/tests/test_placement_group_3.py index 1b1a234eccce..a4a199a740d5 100644 --- a/python/ray/tests/test_placement_group_3.py +++ b/python/ray/tests/test_placement_group_3.py @@ -6,16 +6,15 @@ import pytest import ray -from ray import ObjectRef -from ray._common.test_utils import wait_for_condition import ray._private.gcs_utils as gcs_utils import ray.cluster_utils import ray.experimental.internal_kv as internal_kv +from ray import ObjectRef +from ray._common.test_utils import wait_for_condition from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS, ) -from ray.autoscaler._private.constants import AUTOSCALER_UPDATE_INTERVAL_S from ray._private.test_utils import ( convert_actor_state, generate_system_config_map, @@ -25,6 +24,7 @@ run_string_as_driver, ) from ray.autoscaler._private.commands import debug_status +from ray.autoscaler._private.constants import AUTOSCALER_UPDATE_INTERVAL_S from ray.exceptions import RaySystemError from ray.util.placement_group import placement_group, remove_placement_group from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy diff --git a/python/ray/tests/test_placement_group_4.py b/python/ray/tests/test_placement_group_4.py index dd0b5cbc0c12..9e9364b51056 100644 --- a/python/ray/tests/test_placement_group_4.py +++ b/python/ray/tests/test_placement_group_4.py @@ -1,11 +1,14 @@ -import pytest import os import sys import time +import pytest + import ray -from ray._common.test_utils import wait_for_condition import ray.cluster_utils +from ray._common.test_utils import wait_for_condition +from ray._private.runtime_env.context import RuntimeEnvContext +from ray._private.runtime_env.plugin import RuntimeEnvPlugin from ray._private.test_utils import ( get_other_nodes, is_placement_group_removed, @@ -14,8 +17,6 @@ from ray._raylet import PlacementGroupID from ray.util.placement_group import PlacementGroup from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy -from ray._private.runtime_env.context import RuntimeEnvContext -from ray._private.runtime_env.plugin import RuntimeEnvPlugin MOCK_WORKER_STARTUP_SLOWLY_PLUGIN_CLASS_PATH = ( "ray.tests.test_placement_group_4.MockWorkerStartupSlowlyPlugin" # noqa diff --git a/python/ray/tests/test_placement_group_5.py b/python/ray/tests/test_placement_group_5.py index 7caf7a77c61f..04702b2e7426 100644 --- a/python/ray/tests/test_placement_group_5.py +++ b/python/ray/tests/test_placement_group_5.py @@ -4,19 +4,21 @@ from functools import reduce from itertools import chain -from click.testing import CliRunner import pytest +from click.testing import CliRunner import ray +import ray.scripts.scripts as scripts +from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition -from ray._private.test_utils import placement_group_assert_no_leak +from ray._private.runtime_env.plugin import RuntimeEnvPlugin +from ray._private.test_utils import ( + fetch_prometheus_metrics, + placement_group_assert_no_leak, +) from ray.tests.test_placement_group import are_pairwise_unique -from ray.util.state import list_actors, list_placement_groups from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy -from ray._private.runtime_env.plugin import RuntimeEnvPlugin -from ray._private.test_utils import fetch_prometheus_metrics -from ray._common.network_utils import build_address -import ray.scripts.scripts as scripts +from ray.util.state import list_actors, list_placement_groups def test_placement_group_no_resource(ray_start_cluster): diff --git a/python/ray/tests/test_placement_group_failover.py b/python/ray/tests/test_placement_group_failover.py index f50cc99dc7c8..886189f8e1bb 100755 --- a/python/ray/tests/test_placement_group_failover.py +++ b/python/ray/tests/test_placement_group_failover.py @@ -1,12 +1,14 @@ -import pytest import sys -import ray import time -from ray._common.test_utils import wait_for_condition + +import pytest + +import ray import ray.cluster_utils +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import get_other_nodes -from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray.util import placement_group_table +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy MB = 1024 * 1024 diff --git a/python/ray/tests/test_placement_group_mini_integration.py b/python/ray/tests/test_placement_group_mini_integration.py index 6c6dc7f9e3e3..e89e6e988eed 100644 --- a/python/ray/tests/test_placement_group_mini_integration.py +++ b/python/ray/tests/test_placement_group_mini_integration.py @@ -1,9 +1,9 @@ -import pytest import sys import time - from random import random +import pytest + import ray import ray.cluster_utils from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_plasma_unlimited.py b/python/ray/tests/test_plasma_unlimited.py index 934f2e6eaf42..d5e0186f07eb 100644 --- a/python/ray/tests/test_plasma_unlimited.py +++ b/python/ray/tests/test_plasma_unlimited.py @@ -1,21 +1,22 @@ -import numpy as np import json -import random import os +import platform +import random import shutil import sys -import platform -import psutil +import numpy as np import pytest import ray +from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( check_spilled_mb, fetch_prometheus, ) -from ray._common.network_utils import build_address + +import psutil MB = 1024 * 1024 diff --git a/python/ray/tests/test_pydantic_serialization.py b/python/ray/tests/test_pydantic_serialization.py index 63310e3f14a9..ef81b8b2c510 100644 --- a/python/ray/tests/test_pydantic_serialization.py +++ b/python/ray/tests/test_pydantic_serialization.py @@ -1,20 +1,20 @@ -from dataclasses import dataclass import logging -from typing import Any, Dict, List, Optional, Type, Tuple import sys -from packaging import version +from dataclasses import dataclass +from typing import Any, Dict, List, Optional, Tuple, Type +import pydantic import pytest from fastapi import FastAPI -import pydantic +from packaging import version try: # Testing with Pydantic 2 - from pydantic import BaseModel as BaseModelV2 - from pydantic.v1 import BaseModel as BaseModelV1 - - from pydantic import ValidationError as ValidationErrorV2 - from pydantic.v1 import ValidationError as ValidationErrorV1 + from pydantic import BaseModel as BaseModelV2, ValidationError as ValidationErrorV2 + from pydantic.v1 import ( + BaseModel as BaseModelV1, + ValidationError as ValidationErrorV1, + ) BASE_MODELS = [BaseModelV1, BaseModelV2] BASE_MODEL_AND_ERRORS = [ @@ -23,16 +23,14 @@ ] except ImportError: # Testing with Pydantic 1 - from pydantic import BaseModel as BaseModelV1 - from pydantic import ValidationError as ValidationErrorV1 + from pydantic import BaseModel as BaseModelV1, ValidationError as ValidationErrorV1 BaseModelV2 = None BASE_MODELS = [BaseModelV1] BASE_MODEL_AND_ERRORS = [(BaseModelV1, ValidationErrorV1)] import ray - -from ray.tests.pydantic_module import User, app, user, closure +from ray.tests.pydantic_module import User, app, closure, user @pytest.fixture(scope="session") diff --git a/python/ray/tests/test_queue.py b/python/ray/tests/test_queue.py index 7f6b2fd95c24..93f0b8ebfd86 100644 --- a/python/ray/tests/test_queue.py +++ b/python/ray/tests/test_queue.py @@ -1,13 +1,13 @@ -import time import sys +import time import pytest import ray from ray._common.test_utils import wait_for_condition +from ray._private.test_utils import BatchQueue from ray.exceptions import GetTimeoutError, RayActorError from ray.util.queue import Empty, Full, Queue -from ray._private.test_utils import BatchQueue # Remote helper functions for testing concurrency diff --git a/python/ray/tests/test_ray_debugger.py b/python/ray/tests/test_ray_debugger.py index 6cf1f164e71d..41eb0ed65f01 100644 --- a/python/ray/tests/test_ray_debugger.py +++ b/python/ray/tests/test_ray_debugger.py @@ -3,17 +3,17 @@ import subprocess import sys import unittest -import pexpect -from pexpect.popen_spawn import PopenSpawn from telnetlib import Telnet from typing import Union +import pexpect import pytest +from pexpect.popen_spawn import PopenSpawn import ray +from ray._common.network_utils import parse_address from ray._common.test_utils import wait_for_condition from ray._private import ray_constants, services -from ray._common.network_utils import parse_address from ray._private.test_utils import run_string_as_driver from ray.cluster_utils import Cluster, cluster_not_supported diff --git a/python/ray/tests/test_ray_init.py b/python/ray/tests/test_ray_init.py index 1d6330bedc03..73e76cb95861 100644 --- a/python/ray/tests/test_ray_init.py +++ b/python/ray/tests/test_ray_init.py @@ -1,13 +1,12 @@ -from concurrent.futures import ThreadPoolExecutor import json import os -import sys -import unittest.mock import signal import subprocess +import sys import tempfile +import unittest.mock +from concurrent.futures import ThreadPoolExecutor from pathlib import Path -from ray._common.network_utils import parse_address, build_address import grpc import pytest @@ -15,14 +14,15 @@ import ray import ray._private.services import ray._private.utils as utils +from ray._common.network_utils import build_address, parse_address +from ray._private import ray_constants +from ray._private.test_utils import external_redis_test_enabled from ray.client_builder import ClientContext from ray.cluster_utils import Cluster +from ray.runtime_env.runtime_env import RuntimeEnv from ray.util.client.common import ClientObjectRef from ray.util.client.ray_client_helpers import ray_start_client_server from ray.util.client.worker import Worker -from ray._private.test_utils import external_redis_test_enabled -from ray._private import ray_constants -from ray.runtime_env.runtime_env import RuntimeEnv @pytest.mark.skipif( diff --git a/python/ray/tests/test_ray_init_2.py b/python/ray/tests/test_ray_init_2.py index 04bc16cdfd16..9fdf2b71eda6 100644 --- a/python/ray/tests/test_ray_init_2.py +++ b/python/ray/tests/test_ray_init_2.py @@ -1,24 +1,24 @@ import logging import os +import shutil import sys -import unittest.mock import tempfile -import shutil +import unittest.mock from unittest.mock import patch import pytest import ray -from ray._common.test_utils import wait_for_condition -from ray._private.ray_constants import RAY_OVERRIDE_DASHBOARD_URL, DEFAULT_RESOURCES import ray._private.services -from ray._private.services import get_node_ip_address from ray._common.network_utils import parse_address -from ray.dashboard.utils import ray_address_to_api_server_url +from ray._common.test_utils import wait_for_condition +from ray._private.ray_constants import DEFAULT_RESOURCES, RAY_OVERRIDE_DASHBOARD_URL +from ray._private.services import get_node_ip_address from ray._private.test_utils import ( get_current_unused_port, run_string_as_driver, ) +from ray.dashboard.utils import ray_address_to_api_server_url from ray.util.client.ray_client_helpers import ray_start_client_server diff --git a/python/ray/tests/test_ray_shutdown.py b/python/ray/tests/test_ray_shutdown.py index a39f6f38eb17..8f2f4298db15 100644 --- a/python/ray/tests/test_ray_shutdown.py +++ b/python/ray/tests/test_ray_shutdown.py @@ -1,21 +1,21 @@ -import sys -import time -import platform +import multiprocessing import os +import platform import signal -import multiprocessing +import sys +import time import pytest -import ray - -import psutil # We must import psutil after ray because we bundle it with ray. +import ray from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( run_string_as_driver_nonblocking, ) -from ray.util.state import get_worker, list_tasks from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy +from ray.util.state import get_worker, list_tasks + +import psutil # We must import psutil after ray because we bundle it with ray. WAIT_TIMEOUT = 20 diff --git a/python/ray/tests/test_reconstruction_2.py b/python/ray/tests/test_reconstruction_2.py index b7c821356ace..42ac99a8baef 100644 --- a/python/ray/tests/test_reconstruction_2.py +++ b/python/ray/tests/test_reconstruction_2.py @@ -2,15 +2,14 @@ import sys import time -import pytest import numpy as np +import pytest import ray import ray._private.ray_constants as ray_constants -from ray._private.internal_api import memory_summary -from ray._common.test_utils import Semaphore, SignalActor -from ray._common.test_utils import wait_for_condition import ray.exceptions +from ray._common.test_utils import Semaphore, SignalActor, wait_for_condition +from ray._private.internal_api import memory_summary from ray.util.state import list_tasks # Task status. diff --git a/python/ray/tests/test_reconstruction_stress_spill.py b/python/ray/tests/test_reconstruction_stress_spill.py index 72fc6307b47c..434553fe9e84 100644 --- a/python/ray/tests/test_reconstruction_stress_spill.py +++ b/python/ray/tests/test_reconstruction_stress_spill.py @@ -1,8 +1,8 @@ import signal import sys -import pytest import numpy as np +import pytest import ray diff --git a/python/ray/tests/test_redis_tls.py b/python/ray/tests/test_redis_tls.py index 1f9ab273b324..c5990981530f 100644 --- a/python/ray/tests/test_redis_tls.py +++ b/python/ray/tests/test_redis_tls.py @@ -1,5 +1,7 @@ -import pytest import sys + +import pytest + import ray from ray._private.test_utils import external_redis_test_enabled diff --git a/python/ray/tests/test_reference_counting.py b/python/ray/tests/test_reference_counting.py index 5999156204d9..031c42d51e73 100644 --- a/python/ray/tests/test_reference_counting.py +++ b/python/ray/tests/test_reference_counting.py @@ -5,10 +5,10 @@ """ # coding: utf-8 import copy +import gc import logging import os import sys -import gc import time import numpy as np diff --git a/python/ray/tests/test_reference_counting_2.py b/python/ray/tests/test_reference_counting_2.py index 4a2b55a6804e..e3658c8d488d 100644 --- a/python/ray/tests/test_reference_counting_2.py +++ b/python/ray/tests/test_reference_counting_2.py @@ -4,9 +4,9 @@ put the test in `test_reference_counting_standalone.py`. """ # coding: utf-8 +import copy import logging import os -import copy import pickle import signal import sys @@ -17,14 +17,14 @@ import pytest import ray +import ray._private.gcs_utils as gcs_utils import ray.cluster_utils -from ray._private.internal_api import memory_summary from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.internal_api import memory_summary from ray._private.test_utils import ( put_object, wait_for_num_actors, ) -import ray._private.gcs_utils as gcs_utils SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM diff --git a/python/ray/tests/test_reference_counting_standalone.py b/python/ray/tests/test_reference_counting_standalone.py index e1ab8132dc50..cb3ced7bb9e2 100644 --- a/python/ray/tests/test_reference_counting_standalone.py +++ b/python/ray/tests/test_reference_counting_standalone.py @@ -15,11 +15,11 @@ import ray import ray.cluster_utils -from ray._private.internal_api import memory_summary -from ray._common.test_utils import SignalActor from ray._common.test_utils import ( + SignalActor, wait_for_condition, ) +from ray._private.internal_api import memory_summary logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_resource_demand_scheduler.py b/python/ray/tests/test_resource_demand_scheduler.py index 99f77f2a812b..2dbd2e459a14 100644 --- a/python/ray/tests/test_resource_demand_scheduler.py +++ b/python/ray/tests/test_resource_demand_scheduler.py @@ -1,6 +1,6 @@ import copy -import os import json +import os import shutil import sys import tempfile @@ -8,21 +8,17 @@ import unittest from dataclasses import asdict from datetime import datetime +from functools import partial from time import sleep from unittest import mock -import yaml import pytest +import yaml import ray import ray._private.ray_constants from ray._private.gcs_utils import PlacementGroupTableData from ray._private.test_utils import same_elements -from ray.autoscaler._private.node_provider_availability_tracker import ( - NodeAvailabilityRecord, - NodeAvailabilitySummary, - UnavailableNodeInformation, -) from ray.autoscaler._private.autoscaler import AutoscalerSummary from ray.autoscaler._private.commands import get_or_create_head_node from ray.autoscaler._private.constants import ( @@ -30,15 +26,20 @@ AUTOSCALER_UTILIZATION_SCORER_KEY, ) from ray.autoscaler._private.load_metrics import LoadMetrics +from ray.autoscaler._private.node_provider_availability_tracker import ( + NodeAvailabilityRecord, + NodeAvailabilitySummary, + UnavailableNodeInformation, +) from ray.autoscaler._private.providers import _NODE_PROVIDERS, _clear_provider_cache from ray.autoscaler._private.resource_demand_scheduler import ( ResourceDemandScheduler, _add_min_workers_nodes, - _resource_based_utilization_scorer, _default_utilization_scorer, + _resource_based_utilization_scorer, get_bin_pack_residual, + get_nodes_for as _get, ) -from ray.autoscaler._private.resource_demand_scheduler import get_nodes_for as _get from ray.autoscaler._private.util import ( LoadMetricsSummary, format_info_string, @@ -65,7 +66,6 @@ fill_in_node_ids, mock_node_id, ) -from functools import partial GET_DEFAULT_METHOD = "ray.autoscaler._private.util._get_default_config" diff --git a/python/ray/tests/test_resource_isolation_config.py b/python/ray/tests/test_resource_isolation_config.py index 0f7c49c6abae..f08b4d694b8d 100644 --- a/python/ray/tests/test_resource_isolation_config.py +++ b/python/ray/tests/test_resource_isolation_config.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + from ray._private import utils from ray._private.resource_isolation_config import ResourceIsolationConfig diff --git a/python/ray/tests/test_resource_metrics.py b/python/ray/tests/test_resource_metrics.py index 8e5a003cc176..a3e7377229a5 100644 --- a/python/ray/tests/test_resource_metrics.py +++ b/python/ray/tests/test_resource_metrics.py @@ -4,14 +4,12 @@ import pytest import ray - +from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( fetch_prometheus_metrics, run_string_as_driver_nonblocking, ) -from ray._common.network_utils import build_address - METRIC_CONFIG = { "_system_config": { diff --git a/python/ray/tests/test_response_cache.py b/python/ray/tests/test_response_cache.py index 21c135af8e48..1a1e9d11f6f2 100644 --- a/python/ray/tests/test_response_cache.py +++ b/python/ray/tests/test_response_cache.py @@ -5,10 +5,10 @@ import pytest from ray.util.client.common import ( - _id_is_newer, - ResponseCache, - OrderedResponseCache, INT32_MAX, + OrderedResponseCache, + ResponseCache, + _id_is_newer, ) diff --git a/python/ray/tests/test_runtime_context.py b/python/ray/tests/test_runtime_context.py index 0d44d1925784..7e358798874e 100644 --- a/python/ray/tests/test_runtime_context.py +++ b/python/ray/tests/test_runtime_context.py @@ -1,15 +1,15 @@ import os import signal -import time import sys +import time import warnings import pytest import ray +from ray._common.test_utils import wait_for_condition from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray.util.state import list_tasks -from ray._common.test_utils import wait_for_condition @pytest.mark.skipif(sys.platform == "win32", reason="Fails on windows") diff --git a/python/ray/tests/test_runtime_env_agent.py b/python/ray/tests/test_runtime_env_agent.py index a3f9c6b27a57..bbd877a417ff 100644 --- a/python/ray/tests/test_runtime_env_agent.py +++ b/python/ray/tests/test_runtime_env_agent.py @@ -1,20 +1,22 @@ -import sys -import pytest import logging import os +import sys import time from typing import List, Tuple +import pytest + import ray from ray._common.test_utils import wait_for_condition -from ray._private.runtime_env.agent.runtime_env_agent import UriType, ReferenceTable from ray._private import ray_constants +from ray._private.runtime_env.agent.runtime_env_agent import ReferenceTable, UriType from ray._private.test_utils import ( get_error_message, init_error_pubsub, ) from ray.core.generated import common_pb2 from ray.runtime_env import RuntimeEnv + import psutil logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_runtime_env_complicated.py b/python/ray/tests/test_runtime_env_complicated.py index 2113dbeb9165..4754ef102a71 100644 --- a/python/ray/tests/test_runtime_env_complicated.py +++ b/python/ray/tests/test_runtime_env_complicated.py @@ -4,38 +4,37 @@ import sys import tempfile import time -from ray._common.test_utils import wait_for_condition -import yaml from pathlib import Path from typing import List from unittest import mock import pytest +import yaml -from ray._common.utils import try_to_create_directory import ray -from ray.runtime_env import RuntimeEnv +from ray._common.test_utils import wait_for_condition +from ray._common.utils import try_to_create_directory from ray._private.runtime_env.conda import ( - inject_dependencies, + _current_py_version, _inject_ray_to_conda_site, _resolve_install_from_source_ray_dependencies, - _current_py_version, + inject_dependencies, ) - from ray._private.runtime_env.conda_utils import ( get_conda_env_list, - get_conda_info_json, get_conda_envs, + get_conda_info_json, ) from ray._private.test_utils import ( + chdir, run_string_as_driver, run_string_as_driver_nonblocking, - chdir, ) from ray._private.utils import ( - get_conda_env_dir, get_conda_bin_executable, + get_conda_env_dir, ) +from ray.runtime_env import RuntimeEnv if not os.environ.get("CI"): # This flags turns on the local development that link against current ray diff --git a/python/ray/tests/test_runtime_env_conda_and_pip.py b/python/ray/tests/test_runtime_env_conda_and_pip.py index 027a582cf833..f656a0a5366a 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip.py @@ -1,29 +1,29 @@ import os -import pytest -import sys import platform +import subprocess +import sys +import tempfile +from pathlib import Path + +import pytest +import yaml + +import ray from ray._common.test_utils import wait_for_condition -from ray._private.test_utils import ( - chdir, - check_local_files_gced, - generate_runtime_env_dict, -) from ray._private.runtime_env import dependency_utils from ray._private.runtime_env.conda import _get_conda_dict_with_ray_inserted from ray._private.runtime_env.dependency_utils import ( INTERNAL_PIP_FILENAME, MAX_INTERNAL_PIP_FILENAME_TRIES, ) +from ray._private.test_utils import ( + chdir, + check_local_files_gced, + generate_runtime_env_dict, +) from ray.runtime_env import RuntimeEnv from ray.util.state import list_tasks -import yaml -import tempfile -from pathlib import Path -import subprocess - -import ray - if not os.environ.get("CI"): # This flags turns on the local development that link against current ray # packages and fall back all the dependencies to current python's site. diff --git a/python/ray/tests/test_runtime_env_conda_and_pip_2.py b/python/ray/tests/test_runtime_env_conda_and_pip_2.py index 0674a3a65a8d..1c22681d7eb9 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip_2.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip_2.py @@ -1,11 +1,12 @@ import os -import pytest import sys from unittest import mock +import pytest + import ray -from ray.exceptions import RuntimeEnvSetupError from ray._private.test_utils import generate_runtime_env_dict +from ray.exceptions import RuntimeEnvSetupError if not os.environ.get("CI"): # This flags turns on the local development that link against current ray diff --git a/python/ray/tests/test_runtime_env_conda_and_pip_3.py b/python/ray/tests/test_runtime_env_conda_and_pip_3.py index 9dee12f6bacb..d330072e3984 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip_3.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip_3.py @@ -1,14 +1,14 @@ import os -import pytest import sys +import pytest + +import ray from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( check_local_files_gced, generate_runtime_env_dict, ) -import ray - if not os.environ.get("CI"): # This flags turns on the local development that link against current ray diff --git a/python/ray/tests/test_runtime_env_conda_and_pip_4.py b/python/ray/tests/test_runtime_env_conda_and_pip_4.py index 69a446cf9de1..08cb20ac56f2 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip_4.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip_4.py @@ -1,10 +1,10 @@ import os -import pytest import sys -from ray._private.runtime_env import virtualenv_utils -import ray +import pytest +import ray +from ray._private.runtime_env import virtualenv_utils if not os.environ.get("CI"): # This flags turns on the local development that link against current ray diff --git a/python/ray/tests/test_runtime_env_conda_and_pip_5.py b/python/ray/tests/test_runtime_env_conda_and_pip_5.py index f5d23143c4fb..889cf9922f8d 100644 --- a/python/ray/tests/test_runtime_env_conda_and_pip_5.py +++ b/python/ray/tests/test_runtime_env_conda_and_pip_5.py @@ -1,4 +1,5 @@ import sys + import pytest from packaging.version import parse diff --git a/python/ray/tests/test_runtime_env_container.py b/python/ray/tests/test_runtime_env_container.py index 933a88e2db6a..7b1ad02bbeb1 100644 --- a/python/ray/tests/test_runtime_env_container.py +++ b/python/ray/tests/test_runtime_env_container.py @@ -5,8 +5,7 @@ import ray from ray.tests.conftest import * # noqa from ray.tests.conftest_docker import * # noqa -from ray.tests.conftest_docker import run_in_container, NESTED_IMAGE_NAME - +from ray.tests.conftest_docker import NESTED_IMAGE_NAME, run_in_container # NOTE(zcin): The actual test code are in python scripts under # python/ray/tests/runtime_env_container. The scripts are copied over to diff --git a/python/ray/tests/test_runtime_env_failure.py b/python/ray/tests/test_runtime_env_failure.py index 7a1f904385ea..3df849d7a802 100644 --- a/python/ray/tests/test_runtime_env_failure.py +++ b/python/ray/tests/test_runtime_env_failure.py @@ -3,12 +3,13 @@ from unittest import mock import pytest + +import ray from ray._private.ray_constants import RAY_RUNTIME_ENV_URI_PIN_EXPIRATION_S_DEFAULT from ray._private.runtime_env.packaging import ( RAY_RUNTIME_ENV_FAIL_DOWNLOAD_FOR_TESTING_ENV_VAR, RAY_RUNTIME_ENV_FAIL_UPLOAD_FOR_TESTING_ENV_VAR, ) -import ray from ray.exceptions import RuntimeEnvSetupError diff --git a/python/ray/tests/test_runtime_env_fork_process.py b/python/ray/tests/test_runtime_env_fork_process.py index e7e31b2768c2..35462c7fe70c 100644 --- a/python/ray/tests/test_runtime_env_fork_process.py +++ b/python/ray/tests/test_runtime_env_fork_process.py @@ -1,7 +1,7 @@ # coding: utf-8 +import json import os import sys -import json import pytest diff --git a/python/ray/tests/test_runtime_env_get_wheel_names.py b/python/ray/tests/test_runtime_env_get_wheel_names.py index e124bc9ae676..fbbc735c461c 100644 --- a/python/ray/tests/test_runtime_env_get_wheel_names.py +++ b/python/ray/tests/test_runtime_env_get_wheel_names.py @@ -3,14 +3,13 @@ import pytest import requests +import ray._private.ray_constants as ray_constants from ray._private.utils import ( get_master_wheel_url, get_release_wheel_url, get_wheel_filename, ) -import ray._private.ray_constants as ray_constants - def test_get_wheel_filename(): """Test the code that generates the filenames of the `latest` wheels.""" diff --git a/python/ray/tests/test_runtime_env_packaging.py b/python/ray/tests/test_runtime_env_packaging.py index 4b56a71c9d03..fdaf2450df92 100644 --- a/python/ray/tests/test_runtime_env_packaging.py +++ b/python/ray/tests/test_runtime_env_packaging.py @@ -6,14 +6,14 @@ import sys import tempfile import uuid +import zipfile from filecmp import dircmp from pathlib import Path from shutil import copytree, make_archive, rmtree -import zipfile -import ray import pytest +import ray from ray._private.ray_constants import ( KV_NAMESPACE_PACKAGE, RAY_RUNTIME_ENV_IGNORE_GITIGNORE, @@ -24,12 +24,13 @@ Protocol, _dir_travel, _get_excludes, + _get_gitignore, _store_package_in_gcs, download_and_unpack_package, get_local_dir_from_uri, get_top_level_dir_from_compressed_package, - get_uri_for_file, get_uri_for_directory, + get_uri_for_file, get_uri_for_package, is_whl_uri, is_zip_uri, @@ -37,7 +38,6 @@ remove_dir_from_filepaths, unzip_package, upload_package_if_needed, - _get_gitignore, upload_package_to_gcs, ) from ray.experimental.internal_kv import ( @@ -713,8 +713,8 @@ async def test_download_and_unpack_package_with_file_uri(self): # Add a file to the zip file so we can verify the file was extracted. zip.writestr("file.txt", "Hello, world!") - from urllib.request import pathname2url from urllib.parse import urljoin + from urllib.request import pathname2url # in windows, file_path = ///C:/Users/... # in linux, file_path = /tmp/... diff --git a/python/ray/tests/test_runtime_env_profiler.py b/python/ray/tests/test_runtime_env_profiler.py index ce3e12735e22..39fa8514677f 100644 --- a/python/ray/tests/test_runtime_env_profiler.py +++ b/python/ray/tests/test_runtime_env_profiler.py @@ -1,13 +1,14 @@ -import os import glob +import os +import subprocess import sys from pathlib import Path + import pytest -import subprocess import ray -from ray._private.runtime_env.nsight import parse_nsight_config from ray._common.test_utils import wait_for_condition +from ray._private.runtime_env.nsight import parse_nsight_config from ray.exceptions import RuntimeEnvSetupError diff --git a/python/ray/tests/test_runtime_env_py_executable.py b/python/ray/tests/test_runtime_env_py_executable.py index b9aef67b5999..daf9445e404d 100644 --- a/python/ray/tests/test_runtime_env_py_executable.py +++ b/python/ray/tests/test_runtime_env_py_executable.py @@ -1,9 +1,10 @@ import os -import pytest import sys import tempfile from pathlib import Path +import pytest + import ray diff --git a/python/ray/tests/test_runtime_env_ray_minimal.py b/python/ray/tests/test_runtime_env_ray_minimal.py index d524ecee30a9..64687d87d5ad 100644 --- a/python/ray/tests/test_runtime_env_ray_minimal.py +++ b/python/ray/tests/test_runtime_env_ray_minimal.py @@ -11,6 +11,7 @@ import os import sys + import pytest import ray diff --git a/python/ray/tests/test_runtime_env_setup_func.py b/python/ray/tests/test_runtime_env_setup_func.py index b66e13a47973..218478ee11c8 100644 --- a/python/ray/tests/test_runtime_env_setup_func.py +++ b/python/ray/tests/test_runtime_env_setup_func.py @@ -1,16 +1,16 @@ -import threading +import logging import os +import platform import sys -import logging import tempfile -import platform +import threading import pytest import ray from ray._common.test_utils import wait_for_condition -from ray.job_submission import JobSubmissionClient, JobStatus from ray._private.test_utils import format_web_url +from ray.job_submission import JobStatus, JobSubmissionClient def _hook(): diff --git a/python/ray/tests/test_runtime_env_standalone.py b/python/ray/tests/test_runtime_env_standalone.py index 4cc1dee743c8..41ba317888d6 100644 --- a/python/ray/tests/test_runtime_env_standalone.py +++ b/python/ray/tests/test_runtime_env_standalone.py @@ -22,8 +22,8 @@ get_log_sources, ) from ray.exceptions import RuntimeEnvSetupError -from ray.runtime_env import RuntimeEnv from ray.job_submission import JobStatus, JobSubmissionClient +from ray.runtime_env import RuntimeEnv @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") diff --git a/python/ray/tests/test_runtime_env_strong_type.py b/python/ray/tests/test_runtime_env_strong_type.py index 4d1f77bf40da..bc61df4e1988 100644 --- a/python/ray/tests/test_runtime_env_strong_type.py +++ b/python/ray/tests/test_runtime_env_strong_type.py @@ -1,11 +1,12 @@ import sys +from dataclasses import dataclass +from typing import List + import pytest -import ray -from typing import List +import ray from ray.runtime_env import RuntimeEnv from ray.runtime_env.types.pip import Pip -from dataclasses import dataclass @dataclass diff --git a/python/ray/tests/test_runtime_env_uv.py b/python/ray/tests/test_runtime_env_uv.py index 7b3e083a4ea4..74fec59f029e 100644 --- a/python/ray/tests/test_runtime_env_uv.py +++ b/python/ray/tests/test_runtime_env_uv.py @@ -3,13 +3,14 @@ # 2. Options for `uv install`. import os -import pytest import sys import tempfile from pathlib import Path -from ray._private.runtime_env import virtualenv_utils +import pytest + import ray +from ray._private.runtime_env import virtualenv_utils @pytest.fixture(scope="function") diff --git a/python/ray/tests/test_runtime_env_uv_run.py b/python/ray/tests/test_runtime_env_uv_run.py index 1db6424432d3..401d822ad058 100644 --- a/python/ray/tests/test_runtime_env_uv_run.py +++ b/python/ray/tests/test_runtime_env_uv_run.py @@ -1,9 +1,9 @@ import json import os -from pathlib import Path import subprocess import sys import tempfile +from pathlib import Path import pytest from uv import find_uv_bin @@ -14,7 +14,6 @@ wait_until_server_available, ) - PYPROJECT_TOML = """ [project] name = "test" diff --git a/python/ray/tests/test_runtime_env_working_dir.py b/python/ray/tests/test_runtime_env_working_dir.py index 00e799ba0d53..cd7a1e8f8684 100644 --- a/python/ray/tests/test_runtime_env_working_dir.py +++ b/python/ray/tests/test_runtime_env_working_dir.py @@ -193,8 +193,8 @@ def reinit(): @ray.remote def test_import(): - import test_module import file_module + import test_module assert TEST_IMPORT_DIR in os.environ.get("PYTHONPATH", "") return test_module.one(), file_module.hello() @@ -236,8 +236,8 @@ def test_read(): @ray.remote class Actor: def test_import(self): - import test_module import file_module + import test_module assert TEST_IMPORT_DIR in os.environ.get("PYTHONPATH", "") return test_module.one(), file_module.hello() @@ -297,8 +297,8 @@ def reinit(): # Import in the driver. sys.path.insert(0, tmp_working_dir) - import test_module import file_module + import test_module @ray.remote def test_import(): diff --git a/python/ray/tests/test_runtime_env_working_dir_2.py b/python/ray/tests/test_runtime_env_working_dir_2.py index a77e8353d0ac..b9addec4c1da 100644 --- a/python/ray/tests/test_runtime_env_working_dir_2.py +++ b/python/ray/tests/test_runtime_env_working_dir_2.py @@ -1,23 +1,22 @@ import os -from pathlib import Path import sys import tempfile +from pathlib import Path import pytest -from ray._private.test_utils import ( - chdir, - run_string_as_driver, -) - import ray -from ray._private.runtime_env.packaging import GCS_STORAGE_MAX_SIZE -from ray.exceptions import RuntimeEnvSetupError from ray._private.runtime_env.packaging import ( + GCS_STORAGE_MAX_SIZE, get_uri_for_directory, upload_package_if_needed, ) +from ray._private.test_utils import ( + chdir, + run_string_as_driver, +) from ray._private.utils import get_directory_size_bytes +from ray.exceptions import RuntimeEnvSetupError # This test requires you have AWS credentials set up (any AWS credentials will # do, this test only accesses a public bucket). diff --git a/python/ray/tests/test_runtime_env_working_dir_3.py b/python/ray/tests/test_runtime_env_working_dir_3.py index d90fff342a37..a53f7f015010 100644 --- a/python/ray/tests/test_runtime_env_working_dir_3.py +++ b/python/ray/tests/test_runtime_env_working_dir_3.py @@ -8,15 +8,15 @@ import pytest import ray -from ray._common.test_utils import wait_for_condition import ray.experimental.internal_kv as kv +from ray._common.test_utils import wait_for_condition from ray._private.ray_constants import RAY_RUNTIME_ENV_URI_PIN_EXPIRATION_S_ENV_VAR -from ray._private.utils import get_directory_size_bytes from ray._private.test_utils import ( chdir, check_local_files_gced, find_free_port, ) +from ray._private.utils import get_directory_size_bytes # This test requires you have AWS credentials set up (any AWS credentials will # do, this test only accesses a public bucket). @@ -113,8 +113,8 @@ def test_job_level_gc( @ray.remote(num_cpus=1) class A: def test_import(self): - import test_module import pip_install_test # noqa: F401 + import test_module test_module.one() @@ -239,8 +239,8 @@ def test_detached_actor_gc( @ray.remote class A: def test_import(self): - import test_module import pip_install_test # noqa: F401 + import test_module test_module.one() diff --git a/python/ray/tests/test_runtime_env_working_dir_4.py b/python/ray/tests/test_runtime_env_working_dir_4.py index 77e2e81d6bef..f2aa7d9f04bc 100644 --- a/python/ray/tests/test_runtime_env_working_dir_4.py +++ b/python/ray/tests/test_runtime_env_working_dir_4.py @@ -1,12 +1,12 @@ import os -from pathlib import Path import sys +from pathlib import Path import pytest -from ray._common.test_utils import wait_for_condition from pytest_lazy_fixtures import lf as lazy_fixture import ray +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( check_local_files_gced, run_string_as_driver_nonblocking, diff --git a/python/ray/tests/test_scheduling.py b/python/ray/tests/test_scheduling.py index ab27dfe31e6b..786006b06139 100644 --- a/python/ray/tests/test_scheduling.py +++ b/python/ray/tests/test_scheduling.py @@ -12,16 +12,16 @@ import ray import ray.cluster_utils import ray.util.accelerators -from ray._private.internal_api import memory_summary -from ray.util.scheduling_strategies import ( - PlacementGroupSchedulingStrategy, - NodeAffinitySchedulingStrategy, -) from ray._common.test_utils import SignalActor, wait_for_condition +from ray._private.internal_api import memory_summary from ray._private.test_utils import ( - object_memory_usage, - get_metric_check_condition, MetricSamplePattern, + get_metric_check_condition, + object_memory_usage, +) +from ray.util.scheduling_strategies import ( + NodeAffinitySchedulingStrategy, + PlacementGroupSchedulingStrategy, ) logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_scheduling_2.py b/python/ray/tests/test_scheduling_2.py index 64f237c50892..77ee41286be4 100644 --- a/python/ray/tests/test_scheduling_2.py +++ b/python/ray/tests/test_scheduling_2.py @@ -9,17 +9,17 @@ import ray import ray._private.gcs_utils as gcs_utils import ray.experimental.internal_kv as internal_kv +from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( - make_global_state_accessor, - get_metric_check_condition, MetricSamplePattern, + get_metric_check_condition, + make_global_state_accessor, ) from ray.util.placement_group import placement_group from ray.util.scheduling_strategies import ( NodeAffinitySchedulingStrategy, PlacementGroupSchedulingStrategy, ) -from ray._common.test_utils import SignalActor, wait_for_condition from ray.util.state import list_tasks diff --git a/python/ray/tests/test_shuffle.py b/python/ray/tests/test_shuffle.py index 0a8bbd5be1dc..520024959d32 100644 --- a/python/ray/tests/test_shuffle.py +++ b/python/ray/tests/test_shuffle.py @@ -1,7 +1,8 @@ -import ray -import pytest import sys +import pytest + +import ray from ray.experimental import shuffle diff --git a/python/ray/tests/test_state_api.py b/python/ray/tests/test_state_api.py index 8c451f72b587..56231924e5f9 100644 --- a/python/ray/tests/test_state_api.py +++ b/python/ray/tests/test_state_api.py @@ -1,91 +1,94 @@ -import os -import time import json -import sys +import os import signal +import sys +import time from collections import Counter from concurrent.futures import ThreadPoolExecutor from typing import List -from unittest.mock import MagicMock, AsyncMock, patch -import yaml +from unittest.mock import AsyncMock, MagicMock, patch -from click.testing import CliRunner import pytest import pytest_asyncio -from ray._private.state_api_test_utils import ( - get_state_api_manager, - create_api_options, - verify_schema, -) -from ray.util.state import get_job -from ray.dashboard.modules.job.pydantic_models import JobDetails -from ray.util.state.common import Humanify +import yaml +from click.testing import CliRunner -from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy import ray -import ray.dashboard.consts as dashboard_consts -import ray._private.state as global_state import ray._private.ray_constants as ray_constants -from ray._raylet import GcsClient, ActorID, JobID, TaskID +import ray._private.state as global_state +import ray.dashboard.consts as dashboard_consts from ray._common.network_utils import parse_address -from ray._private.test_utils import ( - run_string_as_driver, - find_free_port, -) from ray._common.test_utils import ( SignalActor, async_wait_for_condition, wait_for_condition, ) +from ray._private.state_api_test_utils import ( + create_api_options, + get_state_api_manager, + verify_schema, +) +from ray._private.test_utils import ( + find_free_port, + run_string_as_driver, +) +from ray._raylet import ActorID, GcsClient, JobID, NodeID, TaskID from ray.cluster_utils import cluster_not_supported -from ray._raylet import NodeID from ray.core.generated.common_pb2 import ( Address, CoreWorkerStats, ObjectRefInfo, TaskInfoEntry, TaskStatus, - WorkerType, TaskType, + WorkerType, ) -from ray.core.generated.gcs_service_pb2_grpc import TaskInfoGcsServiceStub from ray.core.generated.gcs_pb2 import ( - TaskEvents, - TaskStateUpdate, ActorTableData, GcsNodeInfo, PlacementGroupTableData, + TaskEvents, + TaskStateUpdate, WorkerTableData, ) from ray.core.generated.gcs_service_pb2 import ( FilterPredicate, GcsStatus, - GetTaskEventsReply, GetAllActorInfoReply, GetAllNodeInfoReply, GetAllPlacementGroupReply, GetAllWorkerInfoReply, + GetTaskEventsReply, ) +from ray.core.generated.gcs_service_pb2_grpc import TaskInfoGcsServiceStub from ray.core.generated.node_manager_pb2 import GetObjectsInfoReply from ray.core.generated.reporter_pb2 import ListLogsReply, StreamLogReply from ray.core.generated.runtime_env_agent_pb2 import GetRuntimeEnvsInfoReply from ray.core.generated.runtime_env_common_pb2 import ( RuntimeEnvState as RuntimeEnvStateProto, ) +from ray.dashboard.modules.job.pydantic_models import JobDetails from ray.dashboard.state_aggregator import ( GCS_QUERY_FAILURE_WARNING, NODE_QUERY_FAILURE_WARNING, StateAPIManager, ) from ray.dashboard.state_api_utils import convert_filters_type +from ray.dashboard.utils import ray_address_to_api_server_url +from ray.job_submission import JobSubmissionClient +from ray.runtime_env import RuntimeEnv +from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy from ray.util.state import ( + StateApiClient, get_actor, + get_job, get_node, get_objects, get_placement_group, get_task, get_worker, list_actors, + list_cluster_events, list_jobs, list_nodes, list_objects, @@ -96,37 +99,33 @@ summarize_actors, summarize_objects, summarize_tasks, - list_cluster_events, - StateApiClient, ) from ray.util.state.common import ( DEFAULT_RPC_TIMEOUT, ActorState, + GetApiOptions, + Humanify, ListApiOptions, - SummaryApiOptions, NodeState, ObjectState, PlacementGroupState, RuntimeEnvState, + StateSchema, + SummaryApiOptions, TaskState, WorkerState, - StateSchema, state_column, - GetApiOptions, ) -from ray.dashboard.utils import ray_address_to_api_server_url from ray.util.state.exception import DataSourceUnavailable, RayStateApiException from ray.util.state.state_cli import ( AvailableFormat, - format_list_api_output, _parse_filter, + format_list_api_output, + ray_get, + ray_list, summary_state_cli_group, ) -from ray.util.state.state_cli import ray_get -from ray.util.state.state_cli import ray_list from ray.util.state.state_manager import StateDataSourceClient -from ray.job_submission import JobSubmissionClient -from ray.runtime_env import RuntimeEnv """ Unit tests @@ -3460,9 +3459,9 @@ def verify(): def test_state_api_server_enforce_concurrent_http_requests( api_func, monkeypatch, shutdown_only ): - import time - import threading import queue + import threading + import time # Set environment with monkeypatch.context() as m: diff --git a/python/ray/tests/test_state_api_2.py b/python/ray/tests/test_state_api_2.py index c8aa4095d458..2659e6009c07 100644 --- a/python/ray/tests/test_state_api_2.py +++ b/python/ray/tests/test_state_api_2.py @@ -2,25 +2,24 @@ import json import os import sys -from pathlib import Path import tempfile - from collections import defaultdict -from ray._private.test_utils import check_call_subprocess +from pathlib import Path -import ray -import requests import pytest +import requests +import ray +from ray._common.test_utils import wait_for_condition from ray._private.profiling import chrome_tracing_dump +from ray._private.test_utils import check_call_subprocess from ray.util.state import ( get_actor, - list_tasks, list_actors, - list_workers, list_nodes, + list_tasks, + list_workers, ) -from ray._common.test_utils import wait_for_condition def test_timeline(shutdown_only): diff --git a/python/ray/tests/test_state_api_log.py b/python/ray/tests/test_state_api_log.py index 61554b3b90a3..69a6835101cc 100644 --- a/python/ray/tests/test_state_api_log.py +++ b/python/ray/tests/test_state_api_log.py @@ -2,48 +2,46 @@ import json import os import sys +import urllib from pathlib import Path from typing import List -from unittest.mock import MagicMock, AsyncMock +from unittest.mock import AsyncMock, MagicMock import grpc -from ray._common.test_utils import wait_for_condition -import requests import pytest -import urllib +import requests from click.testing import CliRunner import ray +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( format_web_url, wait_until_server_available, ) -from ray.util.state.state_cli import logs_state_cli_group -from ray.util.state import list_jobs - from ray._raylet import ActorID, NodeID, TaskID, WorkerID from ray.core.generated.common_pb2 import Address -from ray.core.generated.gcs_service_pb2 import GetTaskEventsReply -from ray.core.generated.reporter_pb2 import ListLogsReply, StreamLogReply from ray.core.generated.gcs_pb2 import ( ActorTableData, TaskEvents, - TaskStateUpdate, TaskLogInfo, + TaskStateUpdate, ) +from ray.core.generated.gcs_service_pb2 import GetTaskEventsReply +from ray.core.generated.reporter_pb2 import ListLogsReply, StreamLogReply from ray.dashboard.modules.log.log_agent import ( - find_offset_of_content_in_file, + LogAgentV1Grpc, + _stream_log_in_chunk, find_end_offset_file, find_end_offset_next_n_lines_from_offset, + find_offset_of_content_in_file, find_start_offset_last_n_lines_from_offset, - LogAgentV1Grpc, ) -from ray.dashboard.modules.log.log_agent import _stream_log_in_chunk from ray.dashboard.modules.log.log_manager import LogsManager from ray.dashboard.tests.conftest import * # noqa -from ray.util.state import get_log, list_logs, list_nodes, list_workers +from ray.util.state import get_log, list_jobs, list_logs, list_nodes, list_workers from ray.util.state.common import GetLogOptions from ray.util.state.exception import RayStateApiException +from ray.util.state.state_cli import logs_state_cli_group from ray.util.state.state_manager import StateDataSourceClient diff --git a/python/ray/tests/test_state_api_summary.py b/python/ray/tests/test_state_api_summary.py index 8ad65e8021c2..59303828e276 100644 --- a/python/ray/tests/test_state_api_summary.py +++ b/python/ray/tests/test_state_api_summary.py @@ -1,43 +1,42 @@ -import time import json -import pytest -import ray -from unittest.mock import AsyncMock import random import sys -from dataclasses import asdict +import time from concurrent.futures import ThreadPoolExecutor +from dataclasses import asdict +from unittest.mock import AsyncMock -from ray.util.state import ( - summarize_tasks, - summarize_actors, - summarize_objects, -) -from ray._common.test_utils import wait_for_condition -from ray._raylet import ActorID, TaskID, ObjectID +import pytest +from click.testing import CliRunner +import ray +from ray._common.test_utils import wait_for_condition +from ray._raylet import ActorID, ObjectID, TaskID from ray.core.generated.common_pb2 import TaskStatus, TaskType, WorkerType +from ray.core.generated.gcs_pb2 import ActorTableData, GcsNodeInfo +from ray.core.generated.gcs_service_pb2 import GetAllActorInfoReply, GetAllNodeInfoReply from ray.core.generated.node_manager_pb2 import GetObjectsInfoReply -from ray.core.generated.gcs_pb2 import GcsNodeInfo +from ray.dashboard.state_aggregator import StateAPIManager from ray.tests.test_state_api import ( - generate_task_data, - generate_task_event, generate_actor_data, generate_object_info, + generate_task_data, + generate_task_event, +) +from ray.util.state import ( + summarize_actors, + summarize_objects, + summarize_tasks, ) from ray.util.state.common import ( DEFAULT_RPC_TIMEOUT, - SummaryApiOptions, + DRIVER_TASK_ID_PREFIX, Link, NestedTaskSummary, + SummaryApiOptions, TaskSummaries, - DRIVER_TASK_ID_PREFIX, ) -from ray.core.generated.gcs_service_pb2 import GetAllActorInfoReply, GetAllNodeInfoReply -from ray.core.generated.gcs_pb2 import ActorTableData -from click.testing import CliRunner from ray.util.state.state_cli import summary_state_cli_group -from ray.dashboard.state_aggregator import StateAPIManager from ray.util.state.state_manager import StateDataSourceClient diff --git a/python/ray/tests/test_streaming_generator.py b/python/ray/tests/test_streaming_generator.py index 2e166e190ba5..d3d85fec0559 100644 --- a/python/ray/tests/test_streaming_generator.py +++ b/python/ray/tests/test_streaming_generator.py @@ -1,19 +1,19 @@ import asyncio -import pytest -import numpy as np +import gc import sys -import time import threading -import gc +import time +from unittest.mock import Mock, patch -from unittest.mock import patch, Mock +import numpy as np +import pytest import ray from ray._common.test_utils import wait_for_condition -from ray.experimental.state.api import list_objects from ray._raylet import ObjectRefGenerator, ObjectRefStreamEndOfStreamError from ray.cloudpickle import dumps from ray.exceptions import WorkerCrashedError +from ray.experimental.state.api import list_objects class MockedWorker: diff --git a/python/ray/tests/test_streaming_generator_2.py b/python/ray/tests/test_streaming_generator_2.py index f7cdc4d5d704..517c6f744c78 100644 --- a/python/ray/tests/test_streaming_generator_2.py +++ b/python/ray/tests/test_streaming_generator_2.py @@ -1,16 +1,17 @@ import asyncio -import pytest -import numpy as np +import gc import sys import time -import gc + +import numpy as np +import pytest import ray -from ray.experimental.state.api import list_actors -from ray._common.test_utils import SignalActor from ray._common.test_utils import ( + SignalActor, wait_for_condition, ) +from ray.experimental.state.api import list_actors RECONSTRUCTION_CONFIG = { "health_check_failure_threshold": 10, diff --git a/python/ray/tests/test_streaming_generator_3.py b/python/ray/tests/test_streaming_generator_3.py index c16d03c0b9c3..14c66f286f8f 100644 --- a/python/ray/tests/test_streaming_generator_3.py +++ b/python/ray/tests/test_streaming_generator_3.py @@ -1,11 +1,11 @@ import asyncio -import pytest -import numpy as np import sys import time - from collections import Counter +import numpy as np +import pytest + import ray from ray._raylet import ObjectRefGenerator from ray.exceptions import TaskCancelledError diff --git a/python/ray/tests/test_streaming_generator_4.py b/python/ray/tests/test_streaming_generator_4.py index f9b378e00a6b..45c31c525e73 100644 --- a/python/ray/tests/test_streaming_generator_4.py +++ b/python/ray/tests/test_streaming_generator_4.py @@ -1,13 +1,14 @@ -import pytest -import numpy as np -import sys -import time +import asyncio import gc import os -import signal import random -import asyncio +import signal +import sys +import time from typing import Optional + +import numpy as np +import pytest from pydantic import BaseModel import ray diff --git a/python/ray/tests/test_streaming_generator_backpressure.py b/python/ray/tests/test_streaming_generator_backpressure.py index 0dc220913b82..6d2a3b3d76e5 100644 --- a/python/ray/tests/test_streaming_generator_backpressure.py +++ b/python/ray/tests/test_streaming_generator_backpressure.py @@ -1,10 +1,11 @@ import asyncio -import pytest -import numpy as np +import os +import signal import sys import time -import signal -import os + +import numpy as np +import pytest import ray from ray._common.test_utils import wait_for_condition diff --git a/python/ray/tests/test_stress.py b/python/ray/tests/test_stress.py index 0ff6559094b5..afbc6f40cbba 100644 --- a/python/ray/tests/test_stress.py +++ b/python/ray/tests/test_stress.py @@ -1,8 +1,8 @@ -import time import sys +import time -import pytest import numpy as np +import pytest import ray from ray.cluster_utils import Cluster, cluster_not_supported diff --git a/python/ray/tests/test_symmetric_run.py b/python/ray/tests/test_symmetric_run.py index 524e4c52b6a1..dfbaac359eb4 100644 --- a/python/ray/tests/test_symmetric_run.py +++ b/python/ray/tests/test_symmetric_run.py @@ -1,9 +1,11 @@ -import ray import sys -import pytest from contextlib import contextmanager -from unittest.mock import patch, MagicMock +from unittest.mock import MagicMock, patch + +import pytest from click.testing import CliRunner + +import ray import ray.scripts.scripts as scripts diff --git a/python/ray/tests/test_task_events.py b/python/ray/tests/test_task_events.py index b2372db6117d..943bffecf264 100644 --- a/python/ray/tests/test_task_events.py +++ b/python/ray/tests/test_task_events.py @@ -1,25 +1,24 @@ +import sys +import threading +import time from collections import defaultdict from typing import Dict import pytest -import sys -import threading -import time + +import ray from ray._common.test_utils import wait_for_condition from ray._private.state_api_test_utils import ( verify_failed_task, ) -from ray.exceptions import RuntimeEnvSetupError -from ray.runtime_env import RuntimeEnv - -import ray from ray._private.test_utils import ( raw_metrics, run_string_as_driver_nonblocking, ) -from ray.util.state import list_tasks - from ray._private.worker import RayContext +from ray.exceptions import RuntimeEnvSetupError +from ray.runtime_env import RuntimeEnv +from ray.util.state import list_tasks _SYSTEM_CONFIG = { "task_events_report_interval_ms": 100, diff --git a/python/ray/tests/test_task_events_2.py b/python/ray/tests/test_task_events_2.py index 4bc5fefd57b2..5320aeef1d5a 100644 --- a/python/ray/tests/test_task_events_2.py +++ b/python/ray/tests/test_task_events_2.py @@ -1,23 +1,23 @@ import asyncio -from collections import defaultdict import os -from typing import Dict -import pytest import sys import time -from ray._common.test_utils import async_wait_for_condition, wait_for_condition -from ray._private import ray_constants +from collections import defaultdict from functools import reduce +from typing import Dict + +import pytest import ray +from ray._common.test_utils import async_wait_for_condition, wait_for_condition +from ray._private import ray_constants from ray._private.state_api_test_utils import ( PidActor, + _is_actor_task_running, get_state_api_manager, - verify_tasks_running_or_terminated, verify_failed_task, - _is_actor_task_running, + verify_tasks_running_or_terminated, ) -from ray.util.state.common import ListApiOptions, StateResource from ray._private.test_utils import ( run_string_as_driver, run_string_as_driver_nonblocking, @@ -28,6 +28,8 @@ list_jobs, list_tasks, ) +from ray.util.state.common import ListApiOptions, StateResource + import psutil _SYSTEM_CONFIG = { diff --git a/python/ray/tests/test_task_events_3.py b/python/ray/tests/test_task_events_3.py index 19ca96468585..0f6d3b100043 100644 --- a/python/ray/tests/test_task_events_3.py +++ b/python/ray/tests/test_task_events_3.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + import ray from ray._common.test_utils import ( wait_for_condition, diff --git a/python/ray/tests/test_task_metrics.py b/python/ray/tests/test_task_metrics.py index 05da74f917ae..c57525914fe9 100644 --- a/python/ray/tests/test_task_metrics.py +++ b/python/ray/tests/test_task_metrics.py @@ -15,7 +15,6 @@ wait_for_assertion, ) - METRIC_CONFIG = { "_system_config": { "metrics_report_interval_ms": 100, diff --git a/python/ray/tests/test_task_metrics_reconstruction.py b/python/ray/tests/test_task_metrics_reconstruction.py index cb219075a1f3..b066f5b9a498 100644 --- a/python/ray/tests/test_task_metrics_reconstruction.py +++ b/python/ray/tests/test_task_metrics_reconstruction.py @@ -4,11 +4,10 @@ import pytest import ray - -from ray.tests.test_task_metrics import tasks_by_all, METRIC_CONFIG from ray._common.test_utils import ( wait_for_condition, ) +from ray.tests.test_task_metrics import METRIC_CONFIG, tasks_by_all # Copied from similar test in test_reconstruction_2.py. diff --git a/python/ray/tests/test_tls_auth.py b/python/ray/tests/test_tls_auth.py index 0ed5a1e622b6..21c230c278a4 100644 --- a/python/ray/tests/test_tls_auth.py +++ b/python/ray/tests/test_tls_auth.py @@ -1,8 +1,8 @@ # coding: utf-8 import logging import os -import sys import subprocess +import sys import pytest diff --git a/python/ray/tests/test_top_level_api.py b/python/ray/tests/test_top_level_api.py index 1b30a9f698d2..9858fcbe4f9c 100644 --- a/python/ray/tests/test_top_level_api.py +++ b/python/ray/tests/test_top_level_api.py @@ -1,5 +1,5 @@ -from inspect import getmembers, isfunction, ismodule import sys +from inspect import getmembers, isfunction, ismodule import pytest diff --git a/python/ray/tests/test_tqdm.py b/python/ray/tests/test_tqdm.py index 9e7cc5639e0a..7b0bdbf4ec5f 100644 --- a/python/ray/tests/test_tqdm.py +++ b/python/ray/tests/test_tqdm.py @@ -4,8 +4,8 @@ import pytest import ray -from ray.experimental import tqdm_ray from ray._common.test_utils import wait_for_condition +from ray.experimental import tqdm_ray def test_distributed_tqdm_remote(): diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index 0d3de67cda18..4db33239b4b4 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -5,7 +5,7 @@ import pytest import ray -from ray.exceptions import RayTaskError, RayActorError +from ray.exceptions import RayActorError, RayTaskError """This module tests stacktrace of Ray. diff --git a/python/ray/tests/test_typing.py b/python/ray/tests/test_typing.py index 46d5726b32f5..b049fdd77532 100644 --- a/python/ray/tests/test_typing.py +++ b/python/ray/tests/test_typing.py @@ -6,7 +6,6 @@ import mypy.api as mypy_api import pytest - # Paths are relative to the directory where Bazel is run in the CI TYPING_GOOD_PATH = "python/ray/tests/typing_files/check_typing_good.py" TYPING_BAD_PATH = "python/ray/tests/typing_files/check_typing_bad.py" diff --git a/python/ray/tests/test_unavailable_actors.py b/python/ray/tests/test_unavailable_actors.py index 3c19a4028c46..a2e4ebde25a4 100644 --- a/python/ray/tests/test_unavailable_actors.py +++ b/python/ray/tests/test_unavailable_actors.py @@ -1,13 +1,13 @@ import os -import pytest -import sys import signal +import sys from typing import Optional, Tuple +import pytest + import ray -from ray.exceptions import ActorUnavailableError, ActorDiedError -from ray._common.test_utils import SignalActor -from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import SignalActor, wait_for_condition +from ray.exceptions import ActorDiedError, ActorUnavailableError import psutil # We must import psutil after ray because we bundle it with ray. diff --git a/python/ray/tests/test_util_helpers.py b/python/ray/tests/test_util_helpers.py index 265b6931f528..5d35fc9bc160 100644 --- a/python/ray/tests/test_util_helpers.py +++ b/python/ray/tests/test_util_helpers.py @@ -1,8 +1,10 @@ -import pytest import sys + +import pytest + import ray -from ray.util import as_completed, map_unordered from ray._common.test_utils import SignalActor +from ray.util import as_completed, map_unordered @pytest.fixture(scope="module") diff --git a/python/ray/tests/test_utils.py b/python/ray/tests/test_utils.py index 543a53f9c3e6..7ea8d2c02126 100644 --- a/python/ray/tests/test_utils.py +++ b/python/ray/tests/test_utils.py @@ -5,14 +5,15 @@ This currently expects to work for minimal installs. """ import logging -import pytest import sys -from unittest.mock import patch, mock_open +from unittest.mock import mock_open, patch + +import pytest from ray._private.utils import ( + get_current_node_cpu_model_name, parse_pg_formatted_resources_to_original, try_import_each_module, - get_current_node_cpu_model_name, ) logger = logging.getLogger(__name__) diff --git a/python/ray/tests/test_wait.py b/python/ray/tests/test_wait.py index 6040bae86841..9a37b9fdb40d 100644 --- a/python/ray/tests/test_wait.py +++ b/python/ray/tests/test_wait.py @@ -1,13 +1,13 @@ # coding: utf-8 -import pytest -import numpy as np -import time import logging import sys +import time -from ray._private.test_utils import client_test_enabled +import numpy as np +import pytest +from ray._private.test_utils import client_test_enabled if client_test_enabled(): from ray.util.client import ray diff --git a/python/ray/tests/test_widgets.py b/python/ray/tests/test_widgets.py index 1c5273aa4a32..226568f944b9 100644 --- a/python/ray/tests/test_widgets.py +++ b/python/ray/tests/test_widgets.py @@ -6,7 +6,7 @@ import pytest import ray -from ray.widgets.util import repr_with_fallback, _can_display_ipywidgets +from ray.widgets.util import _can_display_ipywidgets, repr_with_fallback @pytest.fixture diff --git a/python/ray/tests/test_worker_capping.py b/python/ray/tests/test_worker_capping.py index 58b499ee7608..8861c7204176 100644 --- a/python/ray/tests/test_worker_capping.py +++ b/python/ray/tests/test_worker_capping.py @@ -1,10 +1,11 @@ import asyncio import os -import pytest import sys import tempfile import time +import pytest + import ray from ray._common.test_utils import Semaphore diff --git a/python/ray/tests/test_worker_graceful_shutdown.py b/python/ray/tests/test_worker_graceful_shutdown.py index 7ac893beb06f..56eb5ab4d0c4 100644 --- a/python/ray/tests/test_worker_graceful_shutdown.py +++ b/python/ray/tests/test_worker_graceful_shutdown.py @@ -6,8 +6,7 @@ import pytest import ray -from ray._common.test_utils import SignalActor -from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import SignalActor, wait_for_condition @pytest.mark.skipif( diff --git a/python/ray/tests/test_worker_state.py b/python/ray/tests/test_worker_state.py index 5a93aefb5c84..4fa4ab6d38da 100644 --- a/python/ray/tests/test_worker_state.py +++ b/python/ray/tests/test_worker_state.py @@ -1,14 +1,14 @@ -import pytest import sys import threading +import pytest + import ray from ray._common.test_utils import ( wait_for_condition, ) from ray.util.state import list_workers - _SYSTEM_CONFIG = { "task_events_report_interval_ms": 100, "metrics_report_interval_ms": 200, diff --git a/python/ray/tests/typing_files/check_typing_good.py b/python/ray/tests/typing_files/check_typing_good.py index 97d4ed116c34..3e1e96190d90 100644 --- a/python/ray/tests/typing_files/check_typing_good.py +++ b/python/ray/tests/typing_files/check_typing_good.py @@ -1,5 +1,6 @@ -import ray from typing import Generator + +import ray from ray import ObjectRef ray.init() diff --git a/python/ray/tests/unit/test_node_affinity_validation.py b/python/ray/tests/unit/test_node_affinity_validation.py index 88d93c3c6ba4..d5cbc892f96d 100644 --- a/python/ray/tests/unit/test_node_affinity_validation.py +++ b/python/ray/tests/unit/test_node_affinity_validation.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy diff --git a/python/ray/tests/unit/test_resource_and_label_spec.py b/python/ray/tests/unit/test_resource_and_label_spec.py index 53fed3ef9cc1..b1cbf69a5603 100644 --- a/python/ray/tests/unit/test_resource_and_label_spec.py +++ b/python/ray/tests/unit/test_resource_and_label_spec.py @@ -1,9 +1,11 @@ -import sys import json -import pytest +import sys from unittest.mock import patch -from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX + +import pytest + import ray._private.ray_constants as ray_constants +from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX from ray._private.accelerators import AcceleratorManager from ray._private.resource_and_label_spec import ResourceAndLabelSpec diff --git a/python/ray/tests/unit/test_runtime_env.py b/python/ray/tests/unit/test_runtime_env.py index adb8b17e6bfc..494ebb4ca255 100644 --- a/python/ray/tests/unit/test_runtime_env.py +++ b/python/ray/tests/unit/test_runtime_env.py @@ -1,20 +1,17 @@ -from dataclasses import dataclass import dataclasses import json import os import subprocess import sys import tempfile +from dataclasses import dataclass from typing import Any, Dict from unittest import mock import pytest -from ray.runtime_env.runtime_env import ( - RuntimeEnvConfig, - _merge_runtime_env, -) import ray +import ray._private.ray_constants as ray_constants from ray._private.runtime_env.uri_cache import URICache from ray._private.runtime_env.utils import ( SubprocessCalledProcessError, @@ -24,8 +21,10 @@ chdir, ) from ray.runtime_env import RuntimeEnv - -import ray._private.ray_constants as ray_constants +from ray.runtime_env.runtime_env import ( + RuntimeEnvConfig, + _merge_runtime_env, +) def test_runtime_env_merge(): diff --git a/python/ray/tests/unit/test_runtime_env_uv.py b/python/ray/tests/unit/test_runtime_env_uv.py index b4e210049003..2d8aeec68d5a 100644 --- a/python/ray/tests/unit/test_runtime_env_uv.py +++ b/python/ray/tests/unit/test_runtime_env_uv.py @@ -1,9 +1,10 @@ -from ray._private.runtime_env import uv - -import pytest import sys from unittest.mock import patch +import pytest + +from ray._private.runtime_env import uv + class TestRuntimeEnv: def uv_config(self): diff --git a/python/ray/tests/unit/test_runtime_env_validation.py b/python/ray/tests/unit/test_runtime_env_validation.py index df848c8d4c3f..70d722754300 100644 --- a/python/ray/tests/unit/test_runtime_env_validation.py +++ b/python/ray/tests/unit/test_runtime_env_validation.py @@ -1,25 +1,25 @@ import os -from pathlib import Path import sys import tempfile -import yaml +from pathlib import Path import jsonschema import pytest +import yaml from ray import job_config from ray._private.runtime_env import validation -from ray.runtime_env import RuntimeEnv -from ray.runtime_env.runtime_env import ( - _validate_no_local_paths, -) +from ray._private.runtime_env.plugin_schema_manager import RuntimeEnvPluginSchemaManager from ray._private.runtime_env.validation import ( - parse_and_validate_excludes, - parse_and_validate_working_dir, parse_and_validate_conda, + parse_and_validate_excludes, parse_and_validate_py_modules, + parse_and_validate_working_dir, +) +from ray.runtime_env import RuntimeEnv +from ray.runtime_env.runtime_env import ( + _validate_no_local_paths, ) -from ray._private.runtime_env.plugin_schema_manager import RuntimeEnvPluginSchemaManager _CONDA_DICT = {"dependencies": ["pip", {"pip": ["pip-install-test==0.5"]}]} _PIP_LIST = ["requests==1.0.0", "pip-install-test"] diff --git a/python/ray/tests/vsphere/test_cluster_operator.py b/python/ray/tests/vsphere/test_cluster_operator.py index 7ca46872257a..cecd009d8abe 100644 --- a/python/ray/tests/vsphere/test_cluster_operator.py +++ b/python/ray/tests/vsphere/test_cluster_operator.py @@ -8,6 +8,10 @@ import pytest +from ray.autoscaler._private.vsphere.cluster_operator_client import ( + ClusterOperatorClient, + VMNodeStatus, +) from ray.autoscaler.tags import ( NODE_KIND_HEAD, NODE_KIND_WORKER, @@ -20,11 +24,6 @@ TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE, ) -from ray.autoscaler._private.vsphere.cluster_operator_client import ( - ClusterOperatorClient, - VMNodeStatus, -) - _CLUSTER_NAME = "ray-cluster" _PROVIDER_CONFIG = { @@ -146,8 +145,8 @@ def create_random_pvt_key(): - from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.primitives import serialization + from cryptography.hazmat.primitives.asymmetric import rsa private_key = rsa.generate_private_key(public_exponent=65537, key_size=2048) pem_private_key = private_key.private_bytes( diff --git a/python/ray/tests/vsphere/test_vmray_node_provider.py b/python/ray/tests/vsphere/test_vmray_node_provider.py index cceb7a0d1eba..cd1e9889e6a7 100644 --- a/python/ray/tests/vsphere/test_vmray_node_provider.py +++ b/python/ray/tests/vsphere/test_vmray_node_provider.py @@ -5,14 +5,13 @@ import pytest +from ray.autoscaler._private.vsphere.node_provider import VsphereWcpNodeProvider from ray.autoscaler.tags import ( + STATUS_SETTING_UP, TAG_RAY_CLUSTER_NAME, TAG_RAY_NODE_NAME, TAG_RAY_NODE_STATUS, ) -from ray.autoscaler._private.vsphere.node_provider import VsphereWcpNodeProvider - -from ray.autoscaler.tags import STATUS_SETTING_UP _CLUSTER_NAME = "test" _PROVIDER_CONFIG = { From c2721851fb0ce840aaf2498567d2de5a84ab3bc7 Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 3 Sep 2025 01:18:30 +0800 Subject: [PATCH 0974/1566] [DOC] Fix documentation typos, grammar, and terminology inconsistencies in Ray Serve docs (#56131) Signed-off-by: Potato Signed-off-by: Jiajun Yao Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Jiajun Yao Co-authored-by: Douglas Strodtman Signed-off-by: Douglas Strodtman --- doc/source/serve/advanced-guides/app-builder-guide.md | 2 +- doc/source/serve/advanced-guides/dev-workflow.md | 4 ++-- doc/source/serve/advanced-guides/performance.md | 4 ++-- doc/source/serve/architecture.md | 10 +++++----- doc/source/serve/develop-and-deploy.md | 4 ++-- doc/source/serve/getting_started.md | 8 ++++---- doc/source/serve/http-guide.md | 2 +- doc/source/serve/index.md | 4 ++-- doc/source/serve/model-multiplexing.md | 9 ++++----- doc/source/serve/monitoring.md | 2 +- doc/source/serve/multi-app.md | 2 +- doc/source/serve/resource-allocation.md | 2 -- doc/source/serve/tutorials/java.md | 4 ++-- 13 files changed, 27 insertions(+), 30 deletions(-) diff --git a/doc/source/serve/advanced-guides/app-builder-guide.md b/doc/source/serve/advanced-guides/app-builder-guide.md index aecb1c761f75..a306ce3eb2db 100644 --- a/doc/source/serve/advanced-guides/app-builder-guide.md +++ b/doc/source/serve/advanced-guides/app-builder-guide.md @@ -8,7 +8,7 @@ This section describes how to pass arguments to your applications using an appli When writing an application, there are often parameters that you want to be able to easily change in development or production. For example, you might have a path to trained model weights and want to test out a newly trained model. In Ray Serve, these parameters are typically passed to the constructor of your deployments using `.bind()`. -This pattern allows you to be configure deployments using ordinary Python code but it requires modifying the code anytime one of the parameters needs to change. +This pattern allows you to configure deployments using ordinary Python code, but it requires modifying the code whenever one of the parameters needs to change. To pass arguments without changing the code, define an "application builder" function that takes an arguments dictionary (or [Pydantic object](typed-app-builders)) and returns the built application to be run. diff --git a/doc/source/serve/advanced-guides/dev-workflow.md b/doc/source/serve/advanced-guides/dev-workflow.md index 9785c7a68643..b16cc120de6b 100644 --- a/doc/source/serve/advanced-guides/dev-workflow.md +++ b/doc/source/serve/advanced-guides/dev-workflow.md @@ -97,7 +97,7 @@ This mode runs each deployment in a background thread and supports most of the s ## Testing on a remote cluster -To test on a remote cluster, use `serve run` again, but this time, pass in an `--address` argument to specify the address of the Ray cluster to connect to. For remote clusters, this address has the form `ray://:10001`; see [Ray Client](ray-client-ref) for more information. +To test on a remote cluster, use `serve run` again, but this time, pass in an `--address` argument to specify the address of the Ray cluster to connect to. For remote clusters, this address has the form `ray://:10001`; see [Ray Client](ray-client-ref) for more information. When making the transition from your local machine to a remote cluster, you'll need to make sure your cluster has a similar environment to your local machine--files, environment variables, and Python packages, for example. @@ -107,7 +107,7 @@ Let's see a simple example that just packages the code. Run the following comman serve run --address=ray://:10001 --working-dir="./project/src" local_dev:app ``` -This connects to the remote cluster with the Ray Client, uploads the `working_dir` directory, and runs your Serve application. Here, the local directory specified by `working_dir` must contain `local_dev.py` so that it can be uploaded to the cluster and imported by Ray Serve. +This connects to the remote cluster with the Ray Client, uploads the `working_dir` directory, and runs your Serve application. Here, the local directory specified by `working_dir` must contain `local_dev.py` so that it can be uploaded to the cluster and imported by Ray Serve. Once this is up and running, we can send requests to the application: diff --git a/doc/source/serve/advanced-guides/performance.md b/doc/source/serve/advanced-guides/performance.md index 8720d032a519..634847dc5bc2 100644 --- a/doc/source/serve/advanced-guides/performance.md +++ b/doc/source/serve/advanced-guides/performance.md @@ -46,8 +46,8 @@ According to the [FastAPI documentation](https://fastapi.tiangolo.com/async/#ver Are you using `async def` in your callable? If you are using `asyncio` and hitting the same queuing issue mentioned above, you might want to increase -`max_ongoing_requests`. Serve sets a low number (100) by default so the client gets -proper backpressure. You can increase the value in the deployment decorator; e.g., +`max_ongoing_requests`. By default, Serve sets this to a low value (5) to ensure clients receive proper backpressure. +You can increase the value in the deployment decorator; for example, `@serve.deployment(max_ongoing_requests=1000)`. (serve-performance-e2e-timeout)= diff --git a/doc/source/serve/architecture.md b/doc/source/serve/architecture.md index 9aceefa74bda..fa838b0cafc4 100644 --- a/doc/source/serve/architecture.md +++ b/doc/source/serve/architecture.md @@ -29,8 +29,8 @@ There are three kinds of actors that are created to make up a Serve instance: responds once they are completed. For scalability and high availability, you can also run a proxy on each node in the cluster via the `proxy_location` field inside [`serve.start()`](core-apis) or [the config file](serve-in-production-config-file). - **gRPC Proxy**: If Serve is started with valid `port` and `grpc_servicer_functions`, - then the gRPC proxy is started alongside with the HTTP proxy. This Actor runs a - [grpcio](https://grpc.github.io/grpc/python/) server. The gRPC server that accepts + then the gRPC proxy is started alongside the HTTP proxy. This Actor runs a + [grpcio](https://grpc.github.io/grpc/python/) server. The gRPC server accepts incoming requests, forwards them to replicas, and responds once they are completed. - **Replicas**: Actors that actually execute the code in response to a request. For example, they may contain an instantiation of an ML model. Each @@ -51,7 +51,7 @@ When an HTTP or gRPC request is sent to the corresponding HTTP or gRPC proxy, th Each replica maintains a queue of requests and executes requests one at a time, possibly using `asyncio` to process them concurrently. If the handler (the deployment function or the `__call__` method of the deployment class) is declared with `async def`, the replica will not wait for the -handler to run. Otherwise, the replica blocks until the handler returns. +handler to run. Otherwise, the replica blocks until the handler returns. When making a request via a [DeploymentHandle](serve-key-concepts-deployment-handle) instead of HTTP or gRPC for [model composition](serve-model-composition), the request is placed on a queue in the `DeploymentHandle`, and we skip to step 3 above. @@ -88,7 +88,7 @@ Ray Serve's autoscaling feature automatically increases or decreases a deploymen - The Serve Autoscaler runs in the Serve Controller actor. - Each `DeploymentHandle` and each replica periodically pushes its metrics to the autoscaler. - For each deployment, the autoscaler periodically checks `DeploymentHandle` queues and in-flight queries on replicas to decide whether or not to scale the number of replicas. -- Each `DeploymentHandle` continuously polls the controller to check for new deployment replicas. Whenever new replicas are discovered, it sends any buffered or new queries to the replica until `max_ongoing_requests` is reached. Queries are sent to replicas in round-robin fashion, subject to the constraint that no replica is handling more than `max_ongoing_requests` requests at a time. +- Each `DeploymentHandle` continuously polls the controller to check for new deployment replicas. Whenever new replicas are discovered, it sends any buffered or new queries to the replica until `max_ongoing_requests` is reached. Queries are sent to replicas in round-robin fashion, subject to the constraint that no replica is handling more than `max_ongoing_requests` requests at a time. :::{note} When the controller dies, requests can still be sent via HTTP, gRPC and `DeploymentHandle`, but autoscaling is paused. When the controller recovers, the autoscaling resumes, but all previous metrics collected are lost. @@ -105,7 +105,7 @@ Each node in your Ray cluster provides a Serve REST API server that can connect You can configure Serve to start one proxy Actor per node with the `proxy_location` field inside [`serve.start()`](core-apis) or [the config file](serve-in-production-config-file). Each proxy binds to the same port. You should be able to reach Serve and send requests to any models with any of the -servers. You can use your own load balancer on top of Ray Serve. +servers. You can use your own load balancer on top of Ray Serve. This architecture ensures horizontal scalability for Serve. You can scale your HTTP and gRPC ingress by adding more nodes. You can also scale your model inference by increasing the number of replicas via the `num_replicas` option of your deployment. diff --git a/doc/source/serve/develop-and-deploy.md b/doc/source/serve/develop-and-deploy.md index 2e2bf9d2541d..616184deaedd 100644 --- a/doc/source/serve/develop-and-deploy.md +++ b/doc/source/serve/develop-and-deploy.md @@ -38,7 +38,7 @@ Bonjour Monde! ``` Converting this model into a Ray Serve application with FastAPI requires three changes: -1. Import Ray Serve and Fast API dependencies +1. Import Ray Serve and FastAPI dependencies 2. Add decorators for Serve deployment with FastAPI: `@serve.deployment` and `@serve.ingress(app)` 3. `bind` the `Translator` deployment to the arguments that are passed into its constructor @@ -60,7 +60,7 @@ To test locally, run the script with the `serve run` CLI command. This command t $ serve run model:translator_app ``` -This command runs the `translator_app` application and then blocks streaming logs to the console. You can kill it with `Ctrl-C`, which tears down the application. +This command runs the `translator_app` application and then blocks, streaming logs to the console. You can kill it with `Ctrl-C`, which tears down the application. Now test the model over HTTP. Reach it at the following default URL: diff --git a/doc/source/serve/getting_started.md b/doc/source/serve/getting_started.md index 0bbe4084f3e5..23d5171523a5 100644 --- a/doc/source/serve/getting_started.md +++ b/doc/source/serve/getting_started.md @@ -6,7 +6,7 @@ This tutorial will walk you through the process of writing and testing a Ray Ser * convert a machine learning model to a Ray Serve deployment * test a Ray Serve application locally over HTTP -* compose multiple-model machine learning models together into a single application +* compose multi-model machine learning models together into a single application We'll use two models in this tutorial: @@ -101,7 +101,7 @@ parameters in the `@serve.deployment` decorator. The example configures a few co * `ray_actor_options`: a dictionary containing configuration options for each replica. * `num_cpus`: a float representing the logical number of CPUs each replica should reserve. You can make this a fraction to pack multiple replicas together on a machine with fewer CPUs than replicas. * `num_gpus`: a float representing the logical number of GPUs each replica should reserve. You can make this a fraction to pack multiple replicas together on a machine with fewer GPUs than replicas. - * `resources`: a dictionary containing other resource requirements for the replicate, such as non-GPU accelerators like HPUs or TPUs. + * `resources`: a dictionary containing other resource requirements for the replica, such as non-GPU accelerators like HPUs or TPUs. All these parameters are optional, so feel free to omit them: @@ -193,12 +193,12 @@ For example, let's deploy a machine learning pipeline with two steps: :language: python ``` -You can copy-paste this script and run it locally. It summarizes the snippet from _A Tale of Two Cities_ to `it was the best of times, it was worst of times .` +You can copy-paste this script and run it locally. It summarizes the snippet from _A Tale of Two Cities_ to `it was the best of times, it was the worst of times .` ```console $ python summary_model.py -it was the best of times, it was worst of times . +it was the best of times, it was the worst of times . ``` Here's an application that chains the two models together. The graph takes English text, summarizes it, and then translates it: diff --git a/doc/source/serve/http-guide.md b/doc/source/serve/http-guide.md index 054ac9ff2145..a4b14a07f68d 100644 --- a/doc/source/serve/http-guide.md +++ b/doc/source/serve/http-guide.md @@ -63,7 +63,7 @@ When the request is cancelled, a cancellation error is raised inside the `Snorin If you want to define more complex HTTP handling logic, Serve integrates with [FastAPI](https://fastapi.tiangolo.com/). This allows you to define a Serve deployment using the {mod}`@serve.ingress ` decorator that wraps a FastAPI app with its full range of features. The most basic example of this is shown below, but for more details on all that FastAPI has to offer such as variable routes, automatic type validation, dependency injection (e.g., for database connections), and more, please check out [their documentation](https://fastapi.tiangolo.com/). :::{note} -A Serve application that's integrated with FastAPI still respects the `route_prefix` set through Serve. The routes are that registered through the FastAPI `app` object are layered on top of the route prefix. For instance, if your Serve application has `route_prefix = /my_app` and you decorate a method with `@app.get("/fetch_data")`, then you can call that method by sending a GET request to the path `/my_app/fetch_data`. +A Serve application that's integrated with FastAPI still respects the `route_prefix` set through Serve. The routes that are registered through the FastAPI `app` object are layered on top of the route prefix. For instance, if your Serve application has `route_prefix = /my_app` and you decorate a method with `@app.get("/fetch_data")`, then you can call that method by sending a GET request to the path `/my_app/fetch_data`. ::: ```{literalinclude} doc_code/http_guide/http_guide.py :start-after: __begin_fastapi__ diff --git a/doc/source/serve/index.md b/doc/source/serve/index.md index 5cc34ad54f61..498337140771 100644 --- a/doc/source/serve/index.md +++ b/doc/source/serve/index.md @@ -35,7 +35,7 @@ api/index Ray Serve is a scalable model serving library for building online inference APIs. Serve is framework-agnostic, so you can use a single toolkit to serve everything from deep learning models built with frameworks like PyTorch, TensorFlow, and Keras, to Scikit-Learn models, to arbitrary Python business logic. It has several features and performance optimizations for serving Large Language Models such as response streaming, dynamic request batching, multi-node/multi-GPU serving, etc. -Ray Serve is particularly well suited for [model composition](serve-model-composition) and many model serving, enabling you to build a complex inference service consisting of multiple ML models and business logic all in Python code. +Ray Serve is particularly well suited for [model composition](serve-model-composition) and multi-model serving, enabling you to build a complex inference service consisting of multiple ML models and business logic all in Python code. Ray Serve is built on top of Ray, so it easily scales to many machines and offers flexible scheduling support such as fractional GPUs so you can share resources and serve many machine learning models at low cost. @@ -244,7 +244,7 @@ or head over to the {doc}`examples` to get started building your Ray Serve appli **Getting Started** ^^^ - Start with our quick start tutorials for :ref:`deploying a single model locally ` and how to :ref:`convert an existing model into a Ray Serve deployment ` . + Start with our quick start tutorials for :ref:`deploying a single model locally ` and how to :ref:`convert an existing model into a Ray Serve deployment `. +++ .. button-ref:: serve-getting-started diff --git a/doc/source/serve/model-multiplexing.md b/doc/source/serve/model-multiplexing.md index b0bce6a68cb3..4400aac8a6d9 100644 --- a/doc/source/serve/model-multiplexing.md +++ b/doc/source/serve/model-multiplexing.md @@ -13,7 +13,7 @@ model multiplexing optimizes cost and load balances the traffic. This is useful To write a multiplexed deployment, use the `serve.multiplexed` and `serve.get_multiplexed_model_id` APIs. -Assuming you have multiple Torch models inside an aws s3 bucket with the following structure: +Assuming you have multiple PyTorch models inside an AWS S3 bucket with the following structure: ``` s3://my_bucket/1/model.pt s3://my_bucket/2/model.pt @@ -34,15 +34,14 @@ The `serve.multiplexed` API also has a `max_num_models_per_replica` parameter. U ::: :::{tip} -This code example uses the Pytorch Model object. You can also define your own model class and use it here. To release resources when the model is evicted, implement the `__del__` method. Ray Serve internally calls the `__del__` method to release resources when the model is evicted. +This code example uses the PyTorch Model object. You can also define your own model class and use it here. To release resources when the model is evicted, implement the `__del__` method. Ray Serve internally calls the `__del__` method to release resources when the model is evicted. ::: -`serve.get_multiplexed_model_id` is used to retrieve the model id from the request header, and the model_id is then passed into the `get_model` function. If the model id is not found in the replica, Serve will load the model from the s3 bucket and cache it in the replica. If the model id is found in the replica, Serve will return the cached model. +`serve.get_multiplexed_model_id` retrieves the model ID from the request header. This ID is then passed to the `get_model` function. If the model is not already cached in the replica, Serve loads it from the S3 bucket. Otherwise, the cached model is returned. :::{note} -Internally, serve router will route the traffic to the corresponding replica based on the model id in the request header. -If all replicas holding the model are over-subscribed, ray serve sends the request to a new replica that doesn't have the model loaded. The replica will load the model from the s3 bucket and cache it. +Internally, the Serve router uses the model ID in the request header to route traffic to a corresponding replica. If all replicas that have the model are over-subscribed, Ray Serve routes the request to a new replica, which then loads and caches the model from the S3 bucket. ::: To send a request to a specific model, include the `serve_multiplexed_model_id` field in the request header, and set the value to the model ID to which you want to send the request. diff --git a/doc/source/serve/monitoring.md b/doc/source/serve/monitoring.md index 8ed8c706f0f7..9437ba81c07c 100644 --- a/doc/source/serve/monitoring.md +++ b/doc/source/serve/monitoring.md @@ -54,7 +54,7 @@ For a detailed overview of the Ray dashboard, see the [dashboard documentation]( Two Serve CLI commands help you inspect a Serve application in production: `serve config` and `serve status`. If you have a remote cluster, `serve config` and `serve status` also has an `--address/-a` argument to access the cluster. See [VM deployment](serve-in-production-remote-cluster) for more information on this argument. -`serve config` gets the latest config file that the Ray Cluster received. This config file represents the Serve application's goal state. The Ray Cluster constantly strives to reach and maintain this state by deploying deployments, and recovering failed replicas, and performing other relevant actions. +`serve config` gets the latest config file that the Ray Cluster received. This config file represents the Serve application's goal state. The Ray Cluster constantly strives to reach and maintain this state by deploying deployments, recovering failed replicas, and performing other relevant actions. Using the `serve_config.yaml` example from [the production guide](production-config-yaml): diff --git a/doc/source/serve/multi-app.md b/doc/source/serve/multi-app.md index 027281566adc..abb36cd1946a 100644 --- a/doc/source/serve/multi-app.md +++ b/doc/source/serve/multi-app.md @@ -7,7 +7,7 @@ Serve supports deploying multiple independent Serve applications. This user guid ### Background With the introduction of multi-application Serve, we walk you through the new concept of applications and when you should choose to deploy a single application versus multiple applications per cluster. -An application consists of one or more deployments. The deployments in an application are tied into a direct acyclic graph through [model composition](serve-model-composition). An application can be called via HTTP at the specified route prefix, and the ingress deployment handles all such inbound traffic. Due to the dependence between deployments in an application, one application is a unit of upgrade. +An application consists of one or more deployments. The deployments in an application are tied into a directed acyclic graph through [model composition](serve-model-composition). An application can be called via HTTP at the specified route prefix, and the ingress deployment handles all such inbound traffic. Due to the dependence between deployments in an application, one application is a unit of upgrade. ### When to use multiple applications You can solve many use cases by using either model composition or multi-application. However, both have their own individual benefits and can be used together. diff --git a/doc/source/serve/resource-allocation.md b/doc/source/serve/resource-allocation.md index 18df5a8181a4..04dff0c9cc5c 100644 --- a/doc/source/serve/resource-allocation.md +++ b/doc/source/serve/resource-allocation.md @@ -39,8 +39,6 @@ def func(*args): ### Fractional CPUs and fractional GPUs -Suppose you have two models and each doesn't fully saturate a GPU. You might want to have them share a GPU by allocating 0.5 GPUs each. - To do this, the resources specified in `ray_actor_options` can be *fractional*. For example, if you have two models and each doesn't fully saturate a GPU, you might want to have them share a GPU by allocating 0.5 GPUs each. diff --git a/doc/source/serve/tutorials/java.md b/doc/source/serve/tutorials/java.md index 6a57addc34aa..743fff19af24 100644 --- a/doc/source/serve/tutorials/java.md +++ b/doc/source/serve/tutorials/java.md @@ -20,7 +20,7 @@ To use Java Ray Serve, you need the following dependency in your pom.xml. ## Example model -This example use case is a production workflow of a financial application. The application needs to compute the best strategy to interact with different banks for a single task. +This example use case is a production workflow for a financial application. The application needs to compute the best strategy to interact with different banks for a single task. ```{literalinclude} ../../../../java/serve/src/test/java/io/ray/serve/docdemo/Strategy.java :end-before: docs-strategy-end @@ -43,7 +43,7 @@ This code uses the `Strategy` class: :start-after: docs-strategy-calc-start ``` -When the scale of banks and indicators expands, the three-tier `for` loop slows down the calculation. Even if you use the thread pool to calculate each indicator in parallel, you may encounter a single machine performance bottleneck. Moreover, you can't use this `Strategy` object as a resident service. +When the scale of banks and indicators expands, the three-tier `for` loop slows down the calculation. Even if you use the thread pool to calculate each indicator in parallel, you may encounter a single machine performance bottleneck. Moreover, you can't use this `Strategy` object as a resident service. ## Converting to a Ray Serve Deployment From 6d8e32e49dc2aa211f30d43c1e9dffed9274e0e8 Mon Sep 17 00:00:00 2001 From: Rueian Date: Tue, 2 Sep 2025 10:22:54 -0700 Subject: [PATCH 0975/1566] [core][autoscaler] fix races when waiting for stopping aws nodes to be reused by cache_stopped_nodes (#56007) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- .../autoscaler/_private/aws/node_provider.py | 55 ++++++++++--------- 1 file changed, 30 insertions(+), 25 deletions(-) diff --git a/python/ray/autoscaler/_private/aws/node_provider.py b/python/ray/autoscaler/_private/aws/node_provider.py index f11e8a6dbcdb..3b8673dbb730 100644 --- a/python/ray/autoscaler/_private/aws/node_provider.py +++ b/python/ray/autoscaler/_private/aws/node_provider.py @@ -127,6 +127,8 @@ def __init__(self, provider_config, cluster_name): self.ready_for_new_batch.set() self.tag_cache_lock = threading.Lock() self.count_lock = threading.Lock() + # Prevent concurrent create_node calls to get the same stopped/stopping node to reuse. + self._reuse_node_lock = threading.Lock() # Cache of node objects from the last nodes() call. This avoids # excessive DescribeInstances requests. @@ -290,32 +292,35 @@ def create_node(self, node_config, tags, count) -> Dict[str, Any]: } ) - reuse_nodes = list(self.ec2.instances.filter(Filters=filters))[:count] - reuse_node_ids = [n.id for n in reuse_nodes] - reused_nodes_dict = {n.id: n for n in reuse_nodes} - if reuse_nodes: - cli_logger.print( - # todo: handle plural vs singular? - "Reusing nodes {}. " - "To disable reuse, set `cache_stopped_nodes: False` " - "under `provider` in the cluster configuration.", - cli_logger.render_list(reuse_node_ids), - ) + with self._reuse_node_lock: + reuse_nodes = list(self.ec2.instances.filter(Filters=filters))[:count] + reuse_node_ids = [n.id for n in reuse_nodes] + reused_nodes_dict = {n.id: n for n in reuse_nodes} + if reuse_nodes: + cli_logger.print( + # todo: handle plural vs singular? + "Reusing nodes {}. " + "To disable reuse, set `cache_stopped_nodes: False` " + "under `provider` in the cluster configuration.", + cli_logger.render_list(reuse_node_ids), + ) - # todo: timed? - with cli_logger.group("Stopping instances to reuse"): - for node in reuse_nodes: - self.tag_cache[node.id] = from_aws_format( - {x["Key"]: x["Value"] for x in node.tags} - ) - if node.state["Name"] == "stopping": - cli_logger.print("Waiting for instance {} to stop", node.id) - node.wait_until_stopped() - - self.ec2.meta.client.start_instances(InstanceIds=reuse_node_ids) - for node_id in reuse_node_ids: - self.set_node_tags(node_id, tags) - count -= len(reuse_node_ids) + # todo: timed? + with cli_logger.group("Stopping instances to reuse"): + for node in reuse_nodes: + self.tag_cache[node.id] = from_aws_format( + {x["Key"]: x["Value"] for x in node.tags} + ) + if node.state["Name"] == "stopping": + cli_logger.print( + "Waiting for instance {} to stop", node.id + ) + node.wait_until_stopped() + + self.ec2.meta.client.start_instances(InstanceIds=reuse_node_ids) + for node_id in reuse_node_ids: + self.set_node_tags(node_id, tags) + count -= len(reuse_node_ids) created_nodes_dict = {} if count: From da22d5677aa0df917276dd5ed953684bcb660045 Mon Sep 17 00:00:00 2001 From: Praveen Date: Tue, 2 Sep 2025 10:34:34 -0700 Subject: [PATCH 0976/1566] [data] Do not log the content of data block that failed (#56133) ## Why are these changes needed? This reverts PR #52380. When working with large data blocks, this log can dump entire bock to terminal and can be spammy and insecure. ## Related issue number Fixes #56092 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Praveen Gorthy Signed-off-by: Praveen Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../data/_internal/planner/plan_udf_map_op.py | 15 ++++++--------- python/ray/data/tests/test_exceptions.py | 16 ---------------- 2 files changed, 6 insertions(+), 25 deletions(-) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index 940773dc0b43..a27a9a2ec9fb 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -154,7 +154,7 @@ def fn(block: Block) -> Block: return block except Exception as e: - _try_wrap_udf_exception(e, block) + _try_wrap_udf_exception(e) compute = get_compute(op._compute) transform_fn = _generate_transform_fn_for_map_block(fn) @@ -213,7 +213,7 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": try: return block.filter(expression) except Exception as e: - _try_wrap_udf_exception(e, block) + _try_wrap_udf_exception(e) transform_fn = _generate_transform_fn_for_map_batches(filter_batch_fn) map_transformer = _create_map_transformer_for_map_batches_op( @@ -353,7 +353,7 @@ async def _wrapped_udf_map_fn(item: Any) -> Any: **fn_kwargs, ) except Exception as e: - _try_wrap_udf_exception(e, item) + _try_wrap_udf_exception(e) elif inspect.isasyncgenfunction(udf.__call__): @@ -388,7 +388,7 @@ def _wrapped_udf_map_fn(item: Any) -> Any: **fn_kwargs, ) except Exception as e: - _try_wrap_udf_exception(e, item) + _try_wrap_udf_exception(e) else: @@ -396,7 +396,7 @@ def _wrapped_udf_map_fn(item: Any) -> Any: try: return udf(item, *fn_args, **fn_kwargs) except Exception as e: - _try_wrap_udf_exception(e, item) + _try_wrap_udf_exception(e) def init_fn(): pass @@ -408,14 +408,11 @@ def _try_wrap_udf_exception(e: Exception, item: Any = None): """If the Ray Debugger is enabled, keep the full stack trace unmodified so that the debugger can stop at the initial unhandled exception. Otherwise, clear the stack trace to omit noisy internal code path.""" - error_message = f"Failed to process the following data block: {item}" - ctx = ray.data.DataContext.get_current() if _is_ray_debugger_post_mortem_enabled() or ctx.raise_original_map_exception: - logger.error(error_message) raise e else: - raise UserCodeException(error_message) from e + raise UserCodeException("UDF failed to process a data block.") from e # Following are util functions for converting UDFs to `MapTransformCallable`s. diff --git a/python/ray/data/tests/test_exceptions.py b/python/ray/data/tests/test_exceptions.py index 7d57586ca1d2..9818c3f379e0 100644 --- a/python/ray/data/tests/test_exceptions.py +++ b/python/ray/data/tests/test_exceptions.py @@ -9,22 +9,6 @@ from ray.tests.conftest import * # noqa -def test_handle_debugger_exception(ray_start_regular_shared): - def _bad(batch): - if batch["id"][0] == 5: - raise Exception("Test exception") - - return batch - - dataset = ray.data.range(8, override_num_blocks=8).map_batches(_bad) - - with pytest.raises( - UserCodeException, - match=r"Failed to process the following data block: \{'id': array\(\[5\]\)\}", - ): - dataset.materialize() - - @pytest.mark.parametrize("log_internal_stack_trace_to_stdout", [True, False]) def test_user_exception( log_internal_stack_trace_to_stdout, From 0aaf2757b9b2d3b4c2433a8983e41e6d353ee3e4 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 2 Sep 2025 11:50:16 -0700 Subject: [PATCH 0977/1566] [release test] split images into its own group (#56122) and add skip-on-release-tests tag for skipping steps to run on release tests Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_forge.rayci.yml | 223 -------------------------- .buildkite/_images.rayci.yml | 227 +++++++++++++++++++++++++++ .buildkite/release/_images.rayci.yml | 1 + .buildkite/release/config.yml | 3 + 4 files changed, 231 insertions(+), 223 deletions(-) create mode 100644 .buildkite/_images.rayci.yml create mode 120000 .buildkite/release/_images.rayci.yml diff --git a/.buildkite/_forge.rayci.yml b/.buildkite/_forge.rayci.yml index 220f556651f7..69c066c7bca2 100644 --- a/.buildkite/_forge.rayci.yml +++ b/.buildkite/_forge.rayci.yml @@ -6,226 +6,3 @@ steps: - name: manylinux wanda: ci/docker/manylinux.wanda.yaml - - - name: raycpubase - label: "wanda: ray.py{{matrix}}.cpu.base" - tags: - - python_dependencies - - docker - wanda: docker/base-deps/cpu.wanda.yaml - matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - env: - PYTHON_VERSION: "{{matrix}}" - ARCH_SUFFIX: "" - - - name: raycpubaseextra - label: "wanda: ray.py{{matrix}}.cpu.base-extra" - wanda: docker/base-extra/cpu.wanda.yaml - matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - env: - PYTHON_VERSION: "{{matrix}}" - IMAGE_TYPE: "ray" - ARCH_SUFFIX: "" - depends_on: raycpubase - - - name: raycudabase - label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base" - tags: - - python_dependencies - - docker - wanda: docker/base-deps/cuda.wanda.yaml - matrix: - setup: - python: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - cuda: - - "11.7.1-cudnn8" - - "11.8.0-cudnn8" - - "12.1.1-cudnn8" - - "12.3.2-cudnn9" - - "12.4.1-cudnn" - - "12.5.1-cudnn" - - "12.6.3-cudnn" - - "12.8.1-cudnn" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - ARCH_SUFFIX: "" - - - name: raycudabaseextra - label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: docker/base-extra/cuda.wanda.yaml - matrix: - setup: - python: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - cuda: - - "11.7.1-cudnn8" - - "11.8.0-cudnn8" - - "12.1.1-cudnn8" - - "12.3.2-cudnn9" - - "12.4.1-cudnn" - - "12.5.1-cudnn" - - "12.6.3-cudnn" - - "12.8.1-cudnn" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - IMAGE_TYPE: "ray" - ARCH_SUFFIX: "" - depends_on: raycudabase - - - name: ray-llmbase - label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base" - tags: - - python_dependencies - - docker - wanda: docker/ray-llm/cuda.wanda.yaml - depends_on: raycudabase - matrix: - setup: - python: - - "3.11" - cuda: - - "12.8.1-cudnn" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - - - name: ray-llmbaseextra - label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: docker/base-extra/cuda.wanda.yaml - matrix: - setup: - python: - - "3.11" - cuda: - - "12.8.1-cudnn" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - IMAGE_TYPE: "ray-llm" - ARCH_SUFFIX: "" - depends_on: ray-llmbase - - - name: ray-mlcudabase - label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base" - tags: - - python_dependencies - - docker - wanda: docker/ray-ml/cuda.wanda.yaml - depends_on: raycudabase - matrix: - setup: - python: - - "3.9" - - "3.10" - - "3.11" - cuda: - - "12.1.1-cudnn8" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - - - name: ray-mlcudabaseextra - label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" - wanda: docker/base-extra/cuda.wanda.yaml - matrix: - setup: - python: - - "3.9" - - "3.10" - - "3.11" - cuda: - - "12.1.1-cudnn8" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - IMAGE_TYPE: "ray-ml" - ARCH_SUFFIX: "" - depends_on: ray-mlcudabase - - - name: ray-mlcpubase - label: "wanda: ray-ml.py{{matrix}}.cpu.base" - tags: - - python_dependencies - - docker - wanda: docker/ray-ml/cpu.wanda.yaml - depends_on: raycpubase - matrix: - - "3.9" - - "3.10" - - "3.11" - env: - PYTHON_VERSION: "{{matrix}}" - - - name: ray-mlcpubaseextra - label: "wanda: ray-ml.py{{matrix}}.cpu.base-extra" - wanda: docker/base-extra/cpu.wanda.yaml - matrix: - - "3.9" - - "3.10" - - "3.11" - env: - PYTHON_VERSION: "{{matrix}}" - IMAGE_TYPE: "ray-ml" - ARCH_SUFFIX: "" - depends_on: ray-mlcpubase - - - name: ray-slimcpubase - label: "wanda: ray-slim.py{{matrix}}.cpu.base" - tags: - - python_dependencies - - docker - wanda: docker/base-slim/cpu.wanda.yaml - depends_on: raycpubase - matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - env: - PYTHON_VERSION: "{{matrix}}" - ARCH_SUFFIX: "" - - - name: ray-slimcudabase - label: "wanda: ray-slim.py{{matrix.python}}.cu{{matrix.cuda}}.base" - tags: - - python_dependencies - - docker - wanda: docker/base-slim/cuda.wanda.yaml - depends_on: raycudabase - matrix: - setup: - python: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - cuda: - - "11.7.1" - - "11.8.0" - - "12.1.1" - - "12.3.2" - - "12.4.1" - - "12.5.1" - - "12.6.3" - - "12.8.1" - env: - PYTHON_VERSION: "{{matrix.python}}" - CUDA_VERSION: "{{matrix.cuda}}" - ARCH_SUFFIX: "" diff --git a/.buildkite/_images.rayci.yml b/.buildkite/_images.rayci.yml new file mode 100644 index 000000000000..74413964085b --- /dev/null +++ b/.buildkite/_images.rayci.yml @@ -0,0 +1,227 @@ +group: images +sort_key: "_images" +steps: + - name: raycpubase + label: "wanda: ray.py{{matrix}}.cpu.base" + tags: + - python_dependencies + - docker + wanda: docker/base-deps/cpu.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "" + + - name: raycpubaseextra + label: "wanda: ray.py{{matrix}}.cpu.base-extra" + wanda: docker/base-extra/cpu.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray" + ARCH_SUFFIX: "" + depends_on: raycpubase + + - name: raycudabase + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base" + tags: + - python_dependencies + - docker + wanda: docker/base-deps/cuda.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1-cudnn8" + - "11.8.0-cudnn8" + - "12.1.1-cudnn8" + - "12.3.2-cudnn9" + - "12.4.1-cudnn" + - "12.5.1-cudnn" + - "12.6.3-cudnn" + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + ARCH_SUFFIX: "" + + - name: raycudabaseextra + label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: docker/base-extra/cuda.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1-cudnn8" + - "11.8.0-cudnn8" + - "12.1.1-cudnn8" + - "12.3.2-cudnn9" + - "12.4.1-cudnn" + - "12.5.1-cudnn" + - "12.6.3-cudnn" + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray" + ARCH_SUFFIX: "" + depends_on: raycudabase + + - name: ray-llmbase + label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base" + tags: + - python_dependencies + - docker + wanda: docker/ray-llm/cuda.wanda.yaml + depends_on: raycudabase + matrix: + setup: + python: + - "3.11" + cuda: + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + + - name: ray-llmbaseextra + label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: docker/base-extra/cuda.wanda.yaml + matrix: + setup: + python: + - "3.11" + cuda: + - "12.8.1-cudnn" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-llm" + ARCH_SUFFIX: "" + depends_on: ray-llmbase + + - name: ray-mlcpubase + label: "wanda: ray-ml.py{{matrix}}.cpu.base" + tags: + - python_dependencies + - docker + wanda: docker/ray-ml/cpu.wanda.yaml + depends_on: raycpubase + matrix: + - "3.9" + - "3.10" + - "3.11" + env: + PYTHON_VERSION: "{{matrix}}" + + - name: ray-mlcpubaseextra + label: "wanda: ray-ml.py{{matrix}}.cpu.base-extra" + wanda: docker/base-extra/cpu.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + env: + PYTHON_VERSION: "{{matrix}}" + IMAGE_TYPE: "ray-ml" + ARCH_SUFFIX: "" + depends_on: ray-mlcpubase + + - name: ray-mlcudabase + label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base" + tags: + - python_dependencies + - docker + wanda: docker/ray-ml/cuda.wanda.yaml + depends_on: raycudabase + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + cuda: + - "12.1.1-cudnn8" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + + - name: ray-mlcudabaseextra + label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + wanda: docker/base-extra/cuda.wanda.yaml + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + cuda: + - "12.1.1-cudnn8" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + IMAGE_TYPE: "ray-ml" + ARCH_SUFFIX: "" + depends_on: ray-mlcudabase + + - name: ray-slimcpubase + label: "wanda: ray-slim.py{{matrix}}.cpu.base" + tags: + - python_dependencies + - docker + - skip-on-release-tests + wanda: docker/base-slim/cpu.wanda.yaml + depends_on: raycpubase + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + env: + PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "" + + - name: ray-slimcudabase + label: "wanda: ray-slim.py{{matrix.python}}.cu{{matrix.cuda}}.base" + tags: + - python_dependencies + - docker + - skip-on-release-tests + wanda: docker/base-slim/cuda.wanda.yaml + depends_on: raycudabase + matrix: + setup: + python: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + cuda: + - "11.7.1" + - "11.8.0" + - "12.1.1" + - "12.3.2" + - "12.4.1" + - "12.5.1" + - "12.6.3" + - "12.8.1" + env: + PYTHON_VERSION: "{{matrix.python}}" + CUDA_VERSION: "{{matrix.cuda}}" + ARCH_SUFFIX: "" diff --git a/.buildkite/release/_images.rayci.yml b/.buildkite/release/_images.rayci.yml new file mode 120000 index 000000000000..67fd8382b173 --- /dev/null +++ b/.buildkite/release/_images.rayci.yml @@ -0,0 +1 @@ +../_images.rayci.yml \ No newline at end of file diff --git a/.buildkite/release/config.yml b/.buildkite/release/config.yml index 7917e6356526..30ac2983d3b0 100644 --- a/.buildkite/release/config.yml +++ b/.buildkite/release/config.yml @@ -15,6 +15,9 @@ env: RAYCI_SKIP_UPLOAD: "true" hook_env_keys: - RAYCI_CHECKOUT_DIR +skip_tags: + - disabled + - skip-on-release-tests build_env_keys: - AUTOMATIC - RELEASE_FREQUENCY From a760a1d58eab47f5944beff779b447a205aa6839 Mon Sep 17 00:00:00 2001 From: weiliango Date: Tue, 2 Sep 2025 11:57:03 -0700 Subject: [PATCH 0978/1566] [RLlib] Update rllib-env.rst - typo (#56140) minor typo ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: weiliango Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-env.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/rllib/rllib-env.rst b/doc/source/rllib/rllib-env.rst index cd97c0259ba6..321ce169f06f 100644 --- a/doc/source/rllib/rllib-env.rst +++ b/doc/source/rllib/rllib-env.rst @@ -289,7 +289,7 @@ in combination. controlled through your :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig`: ``config.env_runners(num_env_runners=..)``. -1. **Vectorization within a single process:** Many environments achieve high +#. **Vectorization within a single process:** Many environments achieve high frame rates per core but are limited by policy inference latency. To address this limitation, create multiple environments per process to batch the policy forward pass across these vectorized environments. Set ``config.env_runners(num_envs_per_env_runner=..)`` From 1d629ac530a76eece0996723b532f2ce39690b20 Mon Sep 17 00:00:00 2001 From: Jack Gammack <49536617+JackGammack@users.noreply.github.com> Date: Tue, 2 Sep 2025 15:06:19 -0400 Subject: [PATCH 0979/1566] [docs] Update performance tips documentation for new execution options resource limits assignment (#56051) ## Why are these changes needed? The performance tips documentation for setting resource limits in ExecutionOptions is no longer correct and gives an error when directly setting them in 2.49 after #54694. Update the documentation to show how to correctly set them. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Jack Gammack <49536617+JackGammack@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/data/performance-tips.rst | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/doc/source/data/performance-tips.rst b/doc/source/data/performance-tips.rst index 1155663b22f4..0402842c4795 100644 --- a/doc/source/data/performance-tips.rst +++ b/doc/source/data/performance-tips.rst @@ -417,10 +417,12 @@ You can configure execution options with the global DataContext. The options are .. code-block:: - ctx = ray.data.DataContext.get_current() - ctx.execution_options.resource_limits.cpu = 10 - ctx.execution_options.resource_limits.gpu = 5 - ctx.execution_options.resource_limits.object_store_memory = 10e9 + ctx = ray.data.DataContext.get_current() + ctx.execution_options.resource_limits = ctx.execution_options.resource_limits.copy( + cpu=10, + gpu=5, + object_store_memory=10e9, + ) .. note:: It's **not** recommended to modify the Ray Core object store memory limit, as this can reduce available memory for task execution. The one exception to this is if you are using machines with a very large amount of RAM (1 TB or more each); then it's recommended to set the object store to ~30-40%. From 2acb2813ffe5ce2fff8fffd9f4fab6e660457b31 Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 3 Sep 2025 03:07:00 +0800 Subject: [PATCH 0980/1566] [DOC][Data] Fix grammar and formatting issues in Ray Data documentation (#56066) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR addresses various grammar, punctuation, and formatting issues throughout the Ray Data documentation in `doc/source/data/` to improve clarity and readability. ## Changes Made **Grammar Fixes:** - Fixed verb agreement errors in `key-concepts.rst` ("define" → "defines", "translate" → "translates") - Corrected missing articles and prepositions ("sharding your dataset" → "sharding of your dataset") - Fixed awkward phrasing in `saving-data.rst` ("have the control" → "have control") - Improved sentence flow in multiple files ("like following" → "as follows") **Formatting Improvements:** - Restructured bullet list formatting in `aggregations.rst` for better readability - Added missing punctuation and commas for proper sentence structure - Improved note formatting and punctuation consistency **Files Modified:** - `doc/source/data/key-concepts.rst` - 3 grammar corrections - `doc/source/data/user-guide.rst` - 1 verb form correction - `doc/source/data/aggregations.rst` - Bullet list formatting improvement - `doc/source/data/joining-data.rst` - 2 grammar and punctuation fixes - `doc/source/data/comparisons.rst` - 1 preposition correction - `doc/source/data/data-internals.rst` - 1 punctuation fix - `doc/source/data/saving-data.rst` - 1 phrasing improvement ## Review Methodology The review was conducted manually across all 45 files in the `doc/source/data/` directory, focusing specifically on: - Typos and spelling errors - Grammar and syntax issues - RST formatting consistency - Punctuation and capitalization The approach was conservative, making only clear corrections without rewriting content for style, preserving the technical accuracy and existing tone of the documentation. ## Impact These changes improve the overall quality and professionalism of the Ray Data documentation while maintaining all technical content and existing structure. The fixes address common grammatical issues that could distract readers from the technical content. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/data/aggregations.rst | 11 ++++++++--- doc/source/data/comparisons.rst | 2 +- doc/source/data/data-internals.rst | 2 +- doc/source/data/joining-data.rst | 8 ++++---- doc/source/data/key-concepts.rst | 6 +++--- doc/source/data/saving-data.rst | 2 +- doc/source/data/user-guide.rst | 2 +- 7 files changed, 19 insertions(+), 14 deletions(-) diff --git a/doc/source/data/aggregations.rst b/doc/source/data/aggregations.rst index 3ab3da449acd..443af7cc1878 100644 --- a/doc/source/data/aggregations.rst +++ b/doc/source/data/aggregations.rst @@ -8,9 +8,14 @@ Ray Data provides a flexible and performant API for performing aggregations on : Basic Aggregations ------------------ -Ray Data provides several built-in aggregation functions like -* :class:`~ray.data.aggregate.Count`, * :class:`~ray.data.aggregate.Sum`, * :class:`~ray.data.aggregate.Mean`, -* :class:`~ray.data.aggregate.Min`, * :class:`~ray.data.aggregate.Max`, * :class:`~ray.data.aggregate.Std`, +Ray Data provides several built-in aggregation functions like: + +* :class:`~ray.data.aggregate.Count` +* :class:`~ray.data.aggregate.Sum` +* :class:`~ray.data.aggregate.Mean` +* :class:`~ray.data.aggregate.Min` +* :class:`~ray.data.aggregate.Max` +* :class:`~ray.data.aggregate.Std` * :class:`~ray.data.aggregate.Quantile` These can be used directly with datasets like shown below: diff --git a/doc/source/data/comparisons.rst b/doc/source/data/comparisons.rst index 0b6b23b42a78..dfa5d772c3c8 100644 --- a/doc/source/data/comparisons.rst +++ b/doc/source/data/comparisons.rst @@ -8,7 +8,7 @@ How does Ray Data compare to other solutions for offline inference? Cloud providers such as AWS, GCP, and Azure provide batch services to manage compute infrastructure for you. Each service uses the same process: you provide the code, and the service runs your code on each node in a cluster. However, while infrastructure management is necessary, it is often not enough. These services have limitations, such as a lack of software libraries to address optimized parallelization, efficient data transfer, and easy debugging. These solutions are suitable only for experienced users who can write their own optimized batch inference code. - Ray Data abstracts away not only the infrastructure management, but also the sharding your dataset, the parallelization of the inference over these shards, and the transfer of data from storage to CPU to GPU. + Ray Data abstracts away not only the infrastructure management, but also the sharding of your dataset, the parallelization of the inference over these shards, and the transfer of data from storage to CPU to GPU. .. dropdown:: Online inference solutions: Bento ML, Sagemaker Batch Transform diff --git a/doc/source/data/data-internals.rst b/doc/source/data/data-internals.rst index d4a449939b14..de084bb68995 100644 --- a/doc/source/data/data-internals.rst +++ b/doc/source/data/data-internals.rst @@ -96,7 +96,7 @@ images), then Ray Data can’t bound the block size. Shuffle Algorithms ------------------ -In data processing shuffling refers to the process of redistributing individual dataset's partitions (that in Ray Data are +In data processing, shuffling refers to the process of redistributing individual dataset's partitions (that in Ray Data are called :ref:`blocks `). Ray Data implements two main shuffle algorithms: diff --git a/doc/source/data/joining-data.rst b/doc/source/data/joining-data.rst index f9222ae74173..eeac75e1bc9e 100644 --- a/doc/source/data/joining-data.rst +++ b/doc/source/data/joining-data.rst @@ -4,9 +4,9 @@ Joining datasets ================ -.. note:: This is a new feature released in Ray 2.46. Note, this is an experimental feature and some things might not work as expected. +.. note:: This is a new feature released in Ray 2.46. Note that this is an experimental feature and some things might not work as expected. -Ray Data allows multiple :class:`~ray.data.dataset.Dataset` instances to be joined using different join types (inner, outer, semi, anti) based on the provided key columns like following: +Ray Data allows multiple :class:`~ray.data.dataset.Dataset` instances to be joined using different join types (inner, outer, semi, anti) based on the provided key columns as follows: .. testcode:: @@ -27,7 +27,7 @@ Ray Data allows multiple :class:`~ray.data.dataset.Dataset` instances to be join on=("id",), ) -Ray Data supports following join types (check out `Dataset.join` docs for up-to-date list): +Ray Data supports the following join types (check out `Dataset.join` docs for up-to-date list): **Inner/Outer Joins:** - Inner, Left Outer, Right Outer, Full Outer @@ -47,7 +47,7 @@ Configuring Joins Joins are generally memory-intensive operations that require accurate memory accounting and projection and hence are sensitive to skews and imbalances in the dataset. -Ray Data provides following levers to allow to tune up performance of joins for your workload: +Ray Data provides the following levers to allow tuning the performance of joins for your workload: - `num_partitions`: (required) specifies number of partitions both incoming datasets will be hash-partitioned into. Check out :ref:`configuring number of partitions ` section for guidance on how to tune this up. - `partition_size_hint`: (optional) Hint to joining operator about the estimated avg expected size of the individual partition (in bytes). If not specified, defaults to DataContext.target_max_block_size (128Mb by default). diff --git a/doc/source/data/key-concepts.rst b/doc/source/data/key-concepts.rst index 3be2437b261a..a1a979402ab6 100644 --- a/doc/source/data/key-concepts.rst +++ b/doc/source/data/key-concepts.rst @@ -12,7 +12,7 @@ There are two main concepts in Ray Data: * Datasets * Blocks -`Dataset` is the main user-facing Python API. It represents a distributed data collection and define data loading and processing operations. Users typically use the API by: +`Dataset` is the main user-facing Python API. It represents a distributed data collection and defines data loading and processing operations. Users typically use the API by: 1. Create a :class:`Dataset ` from external storage or in-memory data. 2. Apply transformations to the data. @@ -22,7 +22,7 @@ The Dataset API is lazy, meaning that operations aren't executed until you mater like :meth:`~ray.data.Dataset.show`. This allows Ray Data to optimize the execution plan and execute operations in a pipelined, streaming fashion. -*Block* is a set of rows representing single partition of the dataset. Blocks, as collection of rows represented by columnar formats (like Arrow) +*Block* is a set of rows representing single partition of the dataset. Blocks, as a collection of rows represented by columnar formats (like Arrow) are the basic unit of data processing in Ray Data: 1. Every dataset is partitioned into a number of blocks, then @@ -75,7 +75,7 @@ You can inspect the resulting logical plan by printing the dataset: +- MapBatches(add_column) +- Dataset(schema={...}) -When execution begins, Ray Data optimizes the logical plan, then translate it into a physical plan - a series of operators that implement the actual data transformations. During this translation: +When execution begins, Ray Data optimizes the logical plan, then translates it into a physical plan - a series of operators that implement the actual data transformations. During this translation: 1. A single logical operator may become multiple physical operators. For example, ``ReadOp`` becomes both ``InputDataBuffer`` and ``TaskPoolMapOperator``. 2. Both logical and physical plans go through optimization passes. For example, ``OperatorFusionRule`` combines map operators to reduce serialization overhead. diff --git a/doc/source/data/saving-data.rst b/doc/source/data/saving-data.rst index 7347f0bc4c5b..c6c814d04398 100644 --- a/doc/source/data/saving-data.rst +++ b/doc/source/data/saving-data.rst @@ -173,7 +173,7 @@ Writing into Partitioned Dataset ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When writing partitioned dataset (using Hive-style, folder-based partitioning) it's recommended to repartition the dataset by the partition columns prior to writing into it. -This allows you to *have the control over the file-sizes and their number*. When the dataset is repartitioned by the partition columns every block should contain all of the rows corresponding to particular partition, +This allows you to *have control over the file sizes and their number*. When the dataset is repartitioned by the partition columns every block should contain all of the rows corresponding to particular partition, meaning that the number of files created should be controlled based on the configuration provided to, for example, `write_parquet` method (such as `min_rows_per_file`, `max_rows_per_file`). Since every block is written out independently, when writing the dataset without prior diff --git a/doc/source/data/user-guide.rst b/doc/source/data/user-guide.rst index a1f450d17282..a83f34a7ab69 100644 --- a/doc/source/data/user-guide.rst +++ b/doc/source/data/user-guide.rst @@ -7,7 +7,7 @@ User Guides If you’re new to Ray Data, start with the :ref:`Ray Data Quickstart `. This user guide helps you navigate the Ray Data project and -show you how achieve several tasks. +shows you how to achieve several tasks. .. toctree:: :maxdepth: 2 From 6f53b35ed17f53ffd48c6ef6e5b37db6a2f81218 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Wed, 3 Sep 2025 03:10:34 +0800 Subject: [PATCH 0981/1566] [hotfix][data]Fix some Python code defects in ray data scanned by PyLint tool (#55417) ## Overview We scanned the ray data code using the PyLint tool and found some defects. Here are some scan results based on ray 2.46 version: "ray/python/ray/data/read_api.py:3214:4: R1705: Unnecessary "elif" after "return", remove the leading "el" from "elif" (no-else-return) ray/python/ray/data/datasource/file_based_datasource.py:276:20: R1730: Consider using 'num_threads = min(num_threads, len(read_paths))' instead of unnecessary if block (consider-using-min-builtin) R1705: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it (no-else-return)" Scanning the latest branch of the master will also yield similar results ## Why are these changes needed? The modifications in PR do not affect the code logic and functionality, nor do they affect existing unit test cases. The aim is to reduce code complexity and redundant code without changing the code logic, and enhance the readability of ray code. ## Related issue number Closes #53881 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: daiping8 Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 9 ++------- python/ray/data/datasource/file_based_datasource.py | 3 +-- python/ray/data/read_api.py | 2 +- 3 files changed, 4 insertions(+), 10 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 079ac1f0fcf7..0fd023adb610 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -923,11 +923,7 @@ def add_column(batch: DataBatch) -> DataBatch: # The index of the column must be set # to align with the index of the batch. - if ( - isinstance(column, pd.Series) - or isinstance(column, pd.DataFrame) - or isinstance(column, pd.Index) - ): + if isinstance(column, (pd.DataFrame, pd.Index, pd.Series)): column.index = batch.index batch.loc[:, col] = column return batch @@ -948,8 +944,7 @@ def add_column(batch: DataBatch) -> DataBatch: column_idx = batch.schema.get_field_index(col) if column_idx == -1: return batch.append_column(col, column) - else: - return batch.set_column(column_idx, col, column) + return batch.set_column(column_idx, col, column) else: # batch format is assumed to be numpy since we checked at the diff --git a/python/ray/data/datasource/file_based_datasource.py b/python/ray/data/datasource/file_based_datasource.py index 521872ac888b..8e66d5f185ca 100644 --- a/python/ray/data/datasource/file_based_datasource.py +++ b/python/ray/data/datasource/file_based_datasource.py @@ -273,8 +273,7 @@ def read_task_fn(): num_threads = 0 if num_threads > 0: - if len(read_paths) < num_threads: - num_threads = len(read_paths) + num_threads = min(num_threads, len(read_paths)) logger.debug( f"Reading {len(read_paths)} files with {num_threads} threads." diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 227a1378f68f..80ae80d4ff04 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -3428,7 +3428,7 @@ def from_huggingface( hf_ds_arrow = dataset.with_format("arrow") ray_ds = from_arrow(hf_ds_arrow[:], override_num_blocks=override_num_blocks) return ray_ds - elif isinstance(dataset, (datasets.DatasetDict, datasets.IterableDatasetDict)): + if isinstance(dataset, (datasets.DatasetDict, datasets.IterableDatasetDict)): available_keys = list(dataset.keys()) raise DeprecationWarning( "You provided a Hugging Face DatasetDict or IterableDatasetDict, " From a60c0b60b65f0e610d467fc0bbadb07e954b266e Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Tue, 2 Sep 2025 12:51:18 -0700 Subject: [PATCH 0982/1566] [Core] Change the size of `test_gpu_objects_gloo.py` to large (#56168) Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 1040d7411cc6..2181d005e59d 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -609,7 +609,7 @@ py_test_module_list( ) py_test_module_list( - size = "medium", + size = "large", files = [ "test_gpu_objects_gloo.py", ], From 24f1dc3c1119729098c40bbcca0ba5001c71c1a9 Mon Sep 17 00:00:00 2001 From: Rueian Date: Tue, 2 Sep 2025 13:05:00 -0700 Subject: [PATCH 0983/1566] [core] move the `RayletClientInterface` to its own build target (#56101) ## Why are these changes needed? 1. A new `//src/ray/raylet_client:raylet_client_interface` target containing only the `RayletClientInterface`. 2. A new `//src/ray/raylet_client:raylet_client_pool` target moved from the node_manager. 3. A new `//src/ray/raylet_client:node_manager_client` target moved from the node_manager. 4. Remove `using` statements in the `raylet_client.h` that allow others to omit `ray::` implicitly. There are no behavioral changes. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- python/ray/includes/common.pxd | 8 +- src/fakes/ray/rpc/raylet/BUILD.bazel | 2 +- src/fakes/ray/rpc/raylet/raylet_client.h | 3 +- src/ray/core_worker/BUILD.bazel | 4 +- src/ray/core_worker/core_worker.h | 2 +- src/ray/core_worker/core_worker_process.cc | 1 + .../experimental_mutable_object_provider.h | 2 +- .../io_ray_runtime_task_NativeTaskExecutor.cc | 2 +- src/ray/core_worker/object_recovery_manager.h | 4 +- .../core_worker/task_submission/BUILD.bazel | 2 +- .../task_submission/normal_task_submitter.h | 4 +- .../task_submission/tests/BUILD.bazel | 2 +- .../tests/normal_task_submitter_test.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 2 +- .../tests/object_recovery_manager_test.cc | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 10 +- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 4 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 5 +- .../gcs_server/gcs_autoscaler_state_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- .../gcs_placement_group_scheduler.h | 5 +- src/ray/gcs/gcs_server/gcs_server.cc | 1 + src/ray/gcs/gcs_server/gcs_server.h | 2 +- src/ray/gcs/gcs_server/gcs_server_main.cc | 2 +- src/ray/raylet/BUILD.bazel | 3 +- src/ray/raylet/main.cc | 35 +-- src/ray/raylet/node_manager.h | 3 +- src/ray/raylet_client/BUILD.bazel | 50 +++- .../node_manager_client.h | 0 src/ray/raylet_client/raylet_client.cc | 2 + src/ray/raylet_client/raylet_client.h | 198 +--------------- .../raylet_client/raylet_client_interface.h | 215 ++++++++++++++++++ .../raylet_client_pool.cc | 2 +- .../raylet_client_pool.h | 3 +- .../tests/BUILD.bazel | 3 +- .../tests/raylet_client_pool_test.cc | 2 +- src/ray/rpc/BUILD.bazel | 30 +-- .../rpc/node_manager/node_manager_server.h | 2 +- src/ray/rpc/worker/core_worker_client_pool.h | 4 +- 40 files changed, 335 insertions(+), 294 deletions(-) rename src/ray/{rpc/node_manager => raylet_client}/node_manager_client.h (100%) create mode 100644 src/ray/raylet_client/raylet_client_interface.h rename src/ray/{rpc/node_manager => raylet_client}/raylet_client_pool.cc (98%) rename src/ray/{rpc/node_manager => raylet_client}/raylet_client_pool.h (96%) rename src/ray/{rpc/node_manager => raylet_client}/tests/BUILD.bazel (78%) rename src/ray/{rpc/node_manager => raylet_client}/tests/raylet_client_pool_test.cc (99%) diff --git a/BUILD.bazel b/BUILD.bazel index 8fc6429846d3..24bfe58c2f90 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -130,7 +130,7 @@ ray_cc_library( ), deps = [ "//src/ray/common:asio", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", ], ) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index d15612e6dd20..d15746effdde 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -158,7 +158,7 @@ cdef extern from "ray/common/id.h" namespace "ray" nogil: cdef extern from "src/ray/protobuf/common.pb.h" nogil: - cdef cppclass CLanguage "Language": + cdef cppclass CLanguage "ray::Language": pass cdef cppclass CWorkerType "ray::core::WorkerType": pass @@ -243,9 +243,9 @@ cdef extern from "src/ray/protobuf/common.pb.h" nogil: # This is a workaround for C++ enum class since Cython has no corresponding # representation. cdef extern from "src/ray/protobuf/common.pb.h" nogil: - cdef CLanguage LANGUAGE_PYTHON "Language::PYTHON" - cdef CLanguage LANGUAGE_CPP "Language::CPP" - cdef CLanguage LANGUAGE_JAVA "Language::JAVA" + cdef CLanguage LANGUAGE_PYTHON "ray::Language::PYTHON" + cdef CLanguage LANGUAGE_CPP "ray::Language::CPP" + cdef CLanguage LANGUAGE_JAVA "ray::Language::JAVA" cdef extern from "src/ray/protobuf/common.pb.h" nogil: cdef CWorkerType WORKER_TYPE_WORKER "ray::core::WorkerType::WORKER" diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel index 6e2730394697..f6ced3e4fc2e 100644 --- a/src/fakes/ray/rpc/raylet/BUILD.bazel +++ b/src/fakes/ray/rpc/raylet/BUILD.bazel @@ -4,6 +4,6 @@ ray_cc_library( name = "fake_raylet_client", hdrs = ["raylet_client.h"], deps = [ - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", ], ) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 1a434abc20a6..fa4ef1436b6b 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -14,7 +14,8 @@ #pragma once -#include "ray/raylet_client/raylet_client.h" +#include "ray/common/scheduling/scheduling_ids.h" +#include "ray/raylet_client/raylet_client_interface.h" namespace ray { diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 5a6c7c1963c3..67a2cb237046 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -312,7 +312,7 @@ ray_cc_library( hdrs = ["experimental_mutable_object_provider.h"], deps = [ ":experimental_mutable_object_manager", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:client_call", ], ) @@ -336,7 +336,7 @@ ray_cc_library( ":reference_count", ":task_manager", "//src/ray/common:id", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_pool", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index b44df2b5ee05..480f11752972 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -52,7 +52,7 @@ #include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_interface.h" #include "ray/rpc/worker/core_worker_server.h" #include "ray/util/process.h" #include "ray/util/shared_lru.h" diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index c870835c47bd..1d8fed4ed879 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -35,6 +35,7 @@ #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/pb_util.h" #include "ray/ipc/raylet_ipc_client.h" +#include "ray/raylet_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/container_util.h" #include "ray/util/env.h" diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index 364d1f7d3aa1..16a9c11e2149 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -18,7 +18,7 @@ #include #include "ray/core_worker/experimental_mutable_object_manager.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_interface.h" #include "ray/rpc/client_call.h" namespace ray { diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc index 9c0adc401893..55ed42f580a5 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc @@ -20,7 +20,7 @@ #include "ray/common/id.h" #include "ray/core_worker/common.h" #include "ray/core_worker/core_worker.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_interface.h" #ifdef __cplusplus extern "C" { diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index ede91805c789..0e29b5d6ab7b 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -25,8 +25,8 @@ #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/raylet_client/raylet_client_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 6261dddb4f60..4e00ea8ae4eb 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -93,7 +93,7 @@ ray_cc_library( "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager_interface", "//src/ray/gcs:gcs_pb_util", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/base:core_headers", ], diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 197ed02dd2f9..423b3d479500 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -29,8 +29,8 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager_interface.h" #include "ray/core_worker/task_submission/dependency_resolver.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 0647614c0dd7..5687a2de0698 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -70,7 +70,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index c9b583fd3e10..707770c8b2a8 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -30,7 +30,7 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_interface.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 205b16d93ae2..c6f99e1103d9 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -75,7 +75,7 @@ ray_cc_test( "//src/ray/core_worker:memory_store", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index db5ad2b37048..370aefebea00 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -30,7 +30,7 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index b11f99a222ed..846b509d5d29 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -78,7 +78,7 @@ ray_cc_library( "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", - "//src/ray/rpc:node_manager_client", + "//src/ray/raylet_client:raylet_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:logging", @@ -286,8 +286,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:scheduling_context", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/rpc:node_manager_client", + "//src/ray/raylet_client:raylet_client_interface", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -394,9 +393,8 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:node_manager_client", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -519,10 +517,10 @@ ray_cc_library( "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_pool", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:grpc_server", "//src/ray/rpc:metrics_agent_client", - "//src/ray/rpc:node_manager_client", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", "//src/ray/util:network_util", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 962ab4b8be02..061fc36fce81 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -80,7 +80,7 @@ const ray::rpc::ActorDeathCause GenWorkerDiedCause( const ray::rpc::ActorDeathCause GenOwnerDiedCause( const ray::gcs::GcsActor *actor, - const WorkerID &owner_id, + const ray::WorkerID &owner_id, const ray::rpc::WorkerExitType disconnect_type, const std::string &disconnect_detail, const std::string &owner_ip_address) { @@ -153,7 +153,7 @@ bool OnInitializeActorShouldLoad(const ray::gcs::GcsInitData &gcs_init_data, } const auto &actor_task_spec = ray::map_find_or_die(actor_task_specs, actor_id); - ActorID root_detached_actor_id = + ray::ActorID root_detached_actor_id = ray::TaskSpecification(actor_task_spec).RootDetachedActorId(); if (root_detached_actor_id.IsNil()) { // owner is job, NOT detached actor, should die with job diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index 582957e99445..e05fc10e46eb 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -31,9 +31,8 @@ #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index 2dae21963fa2..d262191611fb 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -31,7 +31,7 @@ #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 710899260779..b032d2b5662d 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -27,7 +27,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/stats/metric_defs.h" #include "ray/util/event.h" #include "src/ray/protobuf/autoscaler.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index ee3b7a44e161..778a58f529dd 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -30,9 +30,8 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 3720f93847ff..6ac9cb8492a5 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -36,6 +36,7 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/gcs/store_client/store_client.h" #include "ray/pubsub/publisher.h" +#include "ray/raylet_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index fc4ca3d63239..6a869ef9369e 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -39,10 +39,10 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/client_call.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/metrics_agent_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 7d7fa32f635e..04a277924503 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -123,7 +123,7 @@ int main(int argc, char *argv[]) { {ray::stats::VersionKey, kRayVersion}, {ray::stats::NodeAddressKey, node_ip_address}, {ray::stats::SessionNameKey, session_name}}; - ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); + ray::stats::Init(global_tags, metrics_agent_port, ray::WorkerID::Nil()); // Initialize event framework. if (RayConfig::instance().event_log_reporter_enabled() && !log_dir.empty()) { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 65a002214838..48d6c5081e86 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -237,7 +237,6 @@ ray_cc_library( "//src/ray/pubsub:subscriber", "//src/ray/raylet/scheduling:scheduler", "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:node_manager_client", "//src/ray/rpc:node_manager_server", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", @@ -287,6 +286,8 @@ ray_cc_binary( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_lease_manager", + "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_pool", "//src/ray/rpc:metrics_agent_client", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 08eaa3ce91d5..edc2fdba7660 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -35,6 +35,7 @@ #include "ray/raylet/local_object_manager.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/raylet.h" +#include "ray/raylet_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" @@ -585,10 +586,10 @@ int main(int argc, char *argv[]) { *gcs_client, core_worker_subscriber.get(), worker_rpc_pool.get(), - [&](const ObjectID &obj_id, const ray::rpc::ErrorType &error_type) { + [&](const ray::ObjectID &obj_id, const ray::rpc::ErrorType &error_type) { ray::rpc::ObjectReference ref; ref.set_object_id(obj_id.Binary()); - node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); + node_manager->MarkObjectsAsFailed(error_type, {ref}, ray::JobID::Nil()); }); object_manager = std::make_unique( @@ -598,7 +599,7 @@ int main(int argc, char *argv[]) { *gcs_client, object_directory.get(), /*restore_spilled_object=*/ - [&](const ObjectID &object_id, + [&](const ray::ObjectID &object_id, int64_t object_size, const std::string &object_url, std::function callback) { @@ -606,7 +607,7 @@ int main(int argc, char *argv[]) { object_id, object_size, object_url, std::move(callback)); }, /*get_spilled_object_url=*/ - [&](const ObjectID &object_id) { + [&](const ray::ObjectID &object_id) { return local_object_manager->GetLocalSpilledObjectURL(object_id); }, /*spill_objects_callback=*/ @@ -631,10 +632,12 @@ int main(int argc, char *argv[]) { node_manager->HandleObjectLocal(object_info); }, /*delete_object_callback=*/ - [&](const ObjectID &object_id) { node_manager->HandleObjectMissing(object_id); }, + [&](const ray::ObjectID &object_id) { + node_manager->HandleObjectMissing(object_id); + }, /*pin_object=*/ - [&](const ObjectID &object_id) { - std::vector object_ids = {object_id}; + [&](const ray::ObjectID &object_id) { + std::vector object_ids = {object_id}; std::vector> results; std::unique_ptr result; if (node_manager->GetObjectsFromPlasma(object_ids, &results) && @@ -644,10 +647,10 @@ int main(int argc, char *argv[]) { return result; }, /*fail_pull_request=*/ - [&](const ObjectID &object_id, ray::rpc::ErrorType error_type) { + [&](const ray::ObjectID &object_id, ray::rpc::ErrorType error_type) { ray::rpc::ObjectReference ref; ref.set_object_id(object_id.Binary()); - node_manager->MarkObjectsAsFailed(error_type, {ref}, JobID::Nil()); + node_manager->MarkObjectsAsFailed(error_type, {ref}, ray::JobID::Nil()); }); local_object_manager = std::make_unique( @@ -664,12 +667,12 @@ int main(int argc, char *argv[]) { RayConfig::instance().is_external_storage_type_fs(), /*max_fused_object_count*/ RayConfig::instance().max_fused_object_count(), /*on_objects_freed*/ - [&](const std::vector &object_ids) { + [&](const std::vector &object_ids) { object_manager->FreeObjects(object_ids, /*local_only=*/false); }, /*is_plasma_object_spillable*/ - [&](const ObjectID &object_id) { + [&](const ray::ObjectID &object_id) { return object_manager->IsPlasmaObjectSpillable(object_id); }, /*core_worker_subscriber_=*/core_worker_subscriber.get(), @@ -684,7 +687,7 @@ int main(int argc, char *argv[]) { node_manager_config.resource_config.GetResourceMap(), /*is_node_available_fn*/ [&](ray::scheduling::NodeID id) { - return gcs_client->Nodes().Get(NodeID::FromBinary(id.Binary())) != nullptr; + return gcs_client->Nodes().Get(ray::NodeID::FromBinary(id.Binary())) != nullptr; }, /*get_used_object_store_memory*/ [&]() { @@ -707,7 +710,7 @@ int main(int argc, char *argv[]) { /*labels*/ node_manager_config.labels); - auto get_node_info_func = [&](const NodeID &id) { + auto get_node_info_func = [&](const ray::NodeID &id) { return gcs_client->Nodes().Get(id); }; auto announce_infeasible_lease = [](const ray::RayLease &lease) { @@ -764,7 +767,7 @@ int main(int argc, char *argv[]) { get_node_info_func, *worker_pool, leased_workers, - [&](const std::vector &object_ids, + [&](const std::vector &object_ids, std::vector> *results) { return node_manager->GetObjectsFromPlasma(object_ids, results); }, @@ -777,7 +780,7 @@ int main(int argc, char *argv[]) { announce_infeasible_lease, *local_lease_manager); - auto raylet_client_factory = [&](const NodeID &id) { + auto raylet_client_factory = [&](const ray::NodeID &id) { const ray::rpc::GcsNodeInfo *node_info = gcs_client->Nodes().Get(id); RAY_CHECK(node_info) << "No GCS info for node " << id; auto addr = ray::rpc::RayletClientPool::GenerateRayletAddress( @@ -834,7 +837,7 @@ int main(int argc, char *argv[]) { {ray::stats::VersionKey, kRayVersion}, {ray::stats::NodeAddressKey, node_ip_address}, {ray::stats::SessionNameKey, session_name}}; - ray::stats::Init(global_tags, metrics_agent_port, WorkerID::Nil()); + ray::stats::Init(global_tags, metrics_agent_port, ray::WorkerID::Nil()); metrics_agent_client = std::make_unique( "127.0.0.1", metrics_agent_port, main_service, *client_call_manager); metrics_agent_client->WaitForServerReady( diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 4631f8bf0b72..4feee4e3fabf 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -48,9 +48,8 @@ #include "ray/raylet/wait_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/node_manager/node_manager_server.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel index 9dc98c643617..e8f6d4f05244 100644 --- a/src/ray/raylet_client/BUILD.bazel +++ b/src/ray/raylet_client/BUILD.bazel @@ -1,20 +1,56 @@ load("//bazel:ray.bzl", "ray_cc_library") -exports_files([ - "raylet_client.h", -]) +ray_cc_library( + name = "raylet_client_interface", + hdrs = [ + "raylet_client_interface.h", + ], + deps = [ + "//src/ray/protobuf:autoscaler_cc_proto", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/rpc:client_call", + ], +) + +ray_cc_library( + name = "raylet_client_pool", + srcs = ["raylet_client_pool.cc"], + hdrs = [ + "raylet_client_pool.h", + ], + deps = [ + ":raylet_client_interface", + "//src/ray/gcs/gcs_client:gcs_client_lib", + ], +) + +ray_cc_library( + name = "node_manager_client", + hdrs = [ + "node_manager_client.h", + ], + visibility = [":__subpackages__"], + deps = [ + ":raylet_client_interface", + "//src/ray/common:id", + "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/protobuf:node_manager_cc_grpc", + "//src/ray/rpc:client_call", + "//src/ray/rpc:grpc_client", + "//src/ray/util:network_util", + ], +) ray_cc_library( name = "raylet_client_lib", srcs = ["raylet_client.cc"], hdrs = ["raylet_client.h"], deps = [ - "//src/ray/common:id", - "//src/ray/common:status", - "//src/ray/common:task_common", + ":node_manager_client", + ":raylet_client_interface", "//src/ray/flatbuffers:node_manager_generated", "//src/ray/protobuf:common_cc_proto", - "//src/ray/rpc:node_manager_client", "//src/ray/util:logging", ], ) diff --git a/src/ray/rpc/node_manager/node_manager_client.h b/src/ray/raylet_client/node_manager_client.h similarity index 100% rename from src/ray/rpc/node_manager/node_manager_client.h rename to src/ray/raylet_client/node_manager_client.h diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 5981265d503c..87d91f089ee8 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -20,7 +20,9 @@ #include #include +#include "ray/common/bundle_spec.h" #include "ray/common/ray_config.h" +#include "ray/raylet_client/node_manager_client.h" #include "ray/util/logging.h" namespace ray::raylet { diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index 75592cb1a90c..c2c9c6263d7b 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -20,25 +20,7 @@ #include #include -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/buffer.h" -#include "ray/common/bundle_spec.h" -#include "ray/common/status.h" -#include "ray/common/status_or.h" -#include "ray/ipc/client_connection.h" -#include "ray/rpc/node_manager/node_manager_client.h" -#include "ray/util/process.h" -#include "src/ray/protobuf/common.pb.h" -#include "src/ray/protobuf/gcs.pb.h" - -using ray::ActorID; -using ray::JobID; -using ray::NodeID; -using ray::ObjectID; -using ray::TaskID; -using ray::WorkerID; - -using ray::Language; +#include "ray/raylet_client/raylet_client_interface.h" // Maps from resource name to its allocation. using ResourceMappingType = @@ -46,180 +28,10 @@ using ResourceMappingType = namespace ray { -class RayletClientInterface { - public: - /// Request to a raylet to pin a plasma object. The callback will be sent via gRPC. - virtual void PinObjectIDs( - const rpc::Address &caller_address, - const std::vector &object_ids, - const ObjectID &generator_id, - const ray::rpc::ClientCallback &callback) = 0; - - /// Requests a worker from the raylet. The callback will be sent via gRPC. - /// \param lease_spec Lease that is requested by the owner. - /// \param grant_or_reject: True if we we should either grant or reject the request - /// but no spillback. - /// \param callback: The callback to call when the request finishes. - /// \param backlog_size The queue length for the given shape on the CoreWorker. - /// \param lease_id Unique lease ID for this worker lease request. - virtual void RequestWorkerLease( - const rpc::LeaseSpec &lease_spec, - bool grant_or_reject, - const ray::rpc::ClientCallback &callback, - const int64_t backlog_size = -1, - const bool is_selected_based_on_locality = false) = 0; - - /// Returns a worker to the raylet. - /// \param worker_port The local port of the worker on the raylet node. - /// \param worker_id The unique worker id of the worker on the raylet node. - /// \param disconnect_worker Whether the raylet should disconnect the worker. - /// \param worker_exiting Whether the worker is exiting and cannot be reused. - /// \return ray::Status - virtual ray::Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) = 0; - - /// Request the raylet to prestart workers. In `request` we can set the worker's owner, - /// runtime env info and number of workers. - /// - virtual void PrestartWorkers( - const rpc::PrestartWorkersRequest &request, - const rpc::ClientCallback &callback) = 0; - - /// Notify raylets to release unused workers. - /// \param workers_in_use Workers currently in use. - /// \param callback Callback that will be called after raylet completes the release of - /// unused workers. \return ray::Status - virtual void ReleaseUnusedActorWorkers( - const std::vector &workers_in_use, - const rpc::ClientCallback &callback) = 0; - - virtual void CancelWorkerLease( - const LeaseID &lease_id, - const rpc::ClientCallback &callback) = 0; - - /// Report the backlog size of a given worker and a given scheduling class to the - /// raylet. - /// \param worker_id The ID of the worker that reports the backlog size. - /// \param backlog_reports The backlog report for each scheduling class - virtual void ReportWorkerBacklog( - const WorkerID &worker_id, - const std::vector &backlog_reports) = 0; - - virtual void GetWorkerFailureCause( - const LeaseID &lease_id, - const ray::rpc::ClientCallback &callback) = 0; - - /// Request a raylet to prepare resources of given bundles for atomic placement group - /// creation. This is used for the first phase of atomic placement group creation. The - /// callback will be sent via gRPC. - /// \param bundle_specs Bundles to be scheduled at this raylet. - /// \return ray::Status - virtual void PrepareBundleResources( - const std::vector> &bundle_specs, - const ray::rpc::ClientCallback - &callback) = 0; - - /// Request a raylet to commit resources of given bundles for atomic placement group - /// creation. This is used for the second phase of atomic placement group creation. The - /// callback will be sent via gRPC. - /// \param bundle_specs Bundles to be scheduled at this raylet. - /// \return ray::Status - virtual void CommitBundleResources( - const std::vector> &bundle_specs, - const ray::rpc::ClientCallback &callback) = 0; - - virtual void CancelResourceReserve( - const BundleSpecification &bundle_spec, - const ray::rpc::ClientCallback &callback) = 0; - - virtual void ReleaseUnusedBundles( - const std::vector &bundles_in_use, - const rpc::ClientCallback &callback) = 0; - - virtual void GetResourceLoad( - const rpc::ClientCallback &callback) = 0; - /// Registers a mutable object on this node so that it can be read. Writes are performed - /// on a remote node. This local node creates a mapping from `object_id` -> - /// `reader_ref`. - /// - /// \param writer_object_id The object ID of the mutable object on the remote node that - /// is written to. - /// \param num_readers The number of readers that will read the object on this local - /// node. - /// \param reader_object_id The object ID of the mutable object that is read on this - /// local node. - /// \param callback This callback is executed to send a reply to the remote - /// node once the mutable object is registered. - virtual void RegisterMutableObjectReader( - const ObjectID &writer_object_id, - int64_t num_readers, - const ObjectID &reader_object_id, - const rpc::ClientCallback &callback) = 0; - - /// Handles a mutable object write that was performed on a remote node and is being - /// transferred to this node so that it can be read. - /// - /// \param writer_object_id The object ID of the mutable object on the remote node that - /// is written to. This is *not* the object ID of the corresponding mutable object on - /// this local node. - /// \param data_size The size of the data to write to the mutable object on this local - /// node. - /// \param metadata_size The size of the metadata to write to the mutable object on this - /// local node. - /// \param data The data to write to the mutable object on this local node. - /// \param metadata The metadata to write to the mutable object on this local node. - /// \param callback This callback is executed to send a reply to the remote node once - /// the mutable object is transferred. - virtual void PushMutableObject( - const ObjectID &writer_object_id, - uint64_t data_size, - uint64_t metadata_size, - void *data, - void *metadata, - const rpc::ClientCallback &callback) = 0; - - /// Get the system config from Raylet. - /// \param callback Callback that will be called after raylet replied the system config. - virtual void GetSystemConfig( - const rpc::ClientCallback &callback) = 0; - - virtual void GlobalGC(const rpc::ClientCallback &callback) = 0; - - virtual void NotifyGCSRestart( - const rpc::ClientCallback &callback) = 0; - - virtual void ShutdownRaylet( - const NodeID &node_id, - bool graceful, - const rpc::ClientCallback &callback) = 0; - - virtual void DrainRaylet( - const rpc::autoscaler::DrainNodeReason &reason, - const std::string &reason_message, - int64_t deadline_timestamp_ms, - const rpc::ClientCallback &callback) = 0; - - virtual void CancelLeasesWithResourceShapes( - const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) = 0; - - virtual void IsLocalWorkerDead( - const WorkerID &worker_id, - const rpc::ClientCallback &callback) = 0; - - virtual std::shared_ptr GetChannel() const = 0; - - virtual void GetNodeStats( - const rpc::GetNodeStatsRequest &request, - const rpc::ClientCallback &callback) = 0; - - virtual int64_t GetPinsInFlight() const = 0; - - virtual ~RayletClientInterface() = default; -}; +// Forward declaration. +namespace rpc { +class NodeManagerClient; +} namespace raylet { diff --git a/src/ray/raylet_client/raylet_client_interface.h b/src/ray/raylet_client/raylet_client_interface.h new file mode 100644 index 000000000000..621acb65c415 --- /dev/null +++ b/src/ray/raylet_client/raylet_client_interface.h @@ -0,0 +1,215 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "ray/rpc/client_call.h" +#include "src/ray/protobuf/autoscaler.pb.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/node_manager.pb.h" + +namespace grpc { +class Channel; +} + +namespace ray { + +// Forward declarations. +class Status; +class WorkerID; +class ObjectID; +class LeaseID; +class NodeID; +class BundleSpecification; + +class RayletClientInterface { + public: + /// Request to a raylet to pin a plasma object. The callback will be sent via gRPC. + virtual void PinObjectIDs( + const rpc::Address &caller_address, + const std::vector &object_ids, + const ObjectID &generator_id, + const ray::rpc::ClientCallback &callback) = 0; + + /// Requests a worker from the raylet. The callback will be sent via gRPC. + /// \param lease_spec Lease that is requested by the owner. + /// \param grant_or_reject: True if we we should either grant or reject the request + /// but no spillback. + /// \param callback: The callback to call when the request finishes. + /// \param backlog_size The queue length for the given shape on the CoreWorker. + /// \param lease_id Unique lease ID for this worker lease request. + virtual void RequestWorkerLease( + const rpc::LeaseSpec &lease_spec, + bool grant_or_reject, + const ray::rpc::ClientCallback &callback, + const int64_t backlog_size = -1, + const bool is_selected_based_on_locality = false) = 0; + + /// Returns a worker to the raylet. + /// \param worker_port The local port of the worker on the raylet node. + /// \param worker_id The unique worker id of the worker on the raylet node. + /// \param disconnect_worker Whether the raylet should disconnect the worker. + /// \param worker_exiting Whether the worker is exiting and cannot be reused. + /// \return ray::Status + virtual ray::Status ReturnWorkerLease(int worker_port, + const WorkerID &worker_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) = 0; + + /// Request the raylet to prestart workers. In `request` we can set the worker's owner, + /// runtime env info and number of workers. + /// + virtual void PrestartWorkers( + const rpc::PrestartWorkersRequest &request, + const rpc::ClientCallback &callback) = 0; + + /// Notify raylets to release unused workers. + /// \param workers_in_use Workers currently in use. + /// \param callback Callback that will be called after raylet completes the release of + /// unused workers. \return ray::Status + virtual void ReleaseUnusedActorWorkers( + const std::vector &workers_in_use, + const rpc::ClientCallback &callback) = 0; + + virtual void CancelWorkerLease( + const LeaseID &lease_id, + const rpc::ClientCallback &callback) = 0; + + /// Report the backlog size of a given worker and a given scheduling class to the + /// raylet. + /// \param worker_id The ID of the worker that reports the backlog size. + /// \param backlog_reports The backlog report for each scheduling class + virtual void ReportWorkerBacklog( + const WorkerID &worker_id, + const std::vector &backlog_reports) = 0; + + virtual void GetWorkerFailureCause( + const LeaseID &lease_id, + const ray::rpc::ClientCallback &callback) = 0; + + /// Request a raylet to prepare resources of given bundles for atomic placement group + /// creation. This is used for the first phase of atomic placement group creation. The + /// callback will be sent via gRPC. + /// \param bundle_specs Bundles to be scheduled at this raylet. + /// \return ray::Status + virtual void PrepareBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback + &callback) = 0; + + /// Request a raylet to commit resources of given bundles for atomic placement group + /// creation. This is used for the second phase of atomic placement group creation. The + /// callback will be sent via gRPC. + /// \param bundle_specs Bundles to be scheduled at this raylet. + /// \return ray::Status + virtual void CommitBundleResources( + const std::vector> &bundle_specs, + const ray::rpc::ClientCallback &callback) = 0; + + virtual void CancelResourceReserve( + const BundleSpecification &bundle_spec, + const ray::rpc::ClientCallback &callback) = 0; + + virtual void ReleaseUnusedBundles( + const std::vector &bundles_in_use, + const rpc::ClientCallback &callback) = 0; + + virtual void GetResourceLoad( + const rpc::ClientCallback &callback) = 0; + /// Registers a mutable object on this node so that it can be read. Writes are performed + /// on a remote node. This local node creates a mapping from `object_id` -> + /// `reader_ref`. + /// + /// \param writer_object_id The object ID of the mutable object on the remote node that + /// is written to. + /// \param num_readers The number of readers that will read the object on this local + /// node. + /// \param reader_object_id The object ID of the mutable object that is read on this + /// local node. + /// \param callback This callback is executed to send a reply to the remote + /// node once the mutable object is registered. + virtual void RegisterMutableObjectReader( + const ObjectID &writer_object_id, + int64_t num_readers, + const ObjectID &reader_object_id, + const rpc::ClientCallback &callback) = 0; + + /// Handles a mutable object write that was performed on a remote node and is being + /// transferred to this node so that it can be read. + /// + /// \param writer_object_id The object ID of the mutable object on the remote node that + /// is written to. This is *not* the object ID of the corresponding mutable object on + /// this local node. + /// \param data_size The size of the data to write to the mutable object on this local + /// node. + /// \param metadata_size The size of the metadata to write to the mutable object on this + /// local node. + /// \param data The data to write to the mutable object on this local node. + /// \param metadata The metadata to write to the mutable object on this local node. + /// \param callback This callback is executed to send a reply to the remote node once + /// the mutable object is transferred. + virtual void PushMutableObject( + const ObjectID &writer_object_id, + uint64_t data_size, + uint64_t metadata_size, + void *data, + void *metadata, + const rpc::ClientCallback &callback) = 0; + + /// Get the system config from Raylet. + /// \param callback Callback that will be called after raylet replied the system config. + virtual void GetSystemConfig( + const rpc::ClientCallback &callback) = 0; + + virtual void GlobalGC(const rpc::ClientCallback &callback) = 0; + + virtual void NotifyGCSRestart( + const rpc::ClientCallback &callback) = 0; + + virtual void ShutdownRaylet( + const NodeID &node_id, + bool graceful, + const rpc::ClientCallback &callback) = 0; + + virtual void DrainRaylet( + const rpc::autoscaler::DrainNodeReason &reason, + const std::string &reason_message, + int64_t deadline_timestamp_ms, + const rpc::ClientCallback &callback) = 0; + + virtual void CancelLeasesWithResourceShapes( + const std::vector> &resource_shapes, + const rpc::ClientCallback &callback) = 0; + + virtual void IsLocalWorkerDead( + const WorkerID &worker_id, + const rpc::ClientCallback &callback) = 0; + + virtual std::shared_ptr GetChannel() const = 0; + + virtual void GetNodeStats( + const rpc::GetNodeStatsRequest &request, + const rpc::ClientCallback &callback) = 0; + + virtual int64_t GetPinsInFlight() const = 0; + + virtual ~RayletClientInterface() = default; +}; + +} // namespace ray diff --git a/src/ray/rpc/node_manager/raylet_client_pool.cc b/src/ray/raylet_client/raylet_client_pool.cc similarity index 98% rename from src/ray/rpc/node_manager/raylet_client_pool.cc rename to src/ray/raylet_client/raylet_client_pool.cc index 8c85a8457bb9..f955d37a5a46 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.cc +++ b/src/ray/raylet_client/raylet_client_pool.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_pool.h" #include #include diff --git a/src/ray/rpc/node_manager/raylet_client_pool.h b/src/ray/raylet_client/raylet_client_pool.h similarity index 96% rename from src/ray/rpc/node_manager/raylet_client_pool.h rename to src/ray/raylet_client/raylet_client_pool.h index a1d686fd4e25..2440ee543e45 100644 --- a/src/ray/rpc/node_manager/raylet_client_pool.h +++ b/src/ray/raylet_client/raylet_client_pool.h @@ -24,8 +24,7 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/node_manager_client.h" +#include "ray/raylet_client/raylet_client_interface.h" namespace ray { namespace rpc { diff --git a/src/ray/rpc/node_manager/tests/BUILD.bazel b/src/ray/raylet_client/tests/BUILD.bazel similarity index 78% rename from src/ray/rpc/node_manager/tests/BUILD.bazel rename to src/ray/raylet_client/tests/BUILD.bazel index d26b0fdb0a0d..775291eeb00d 100644 --- a/src/ray/rpc/node_manager/tests/BUILD.bazel +++ b/src/ray/raylet_client/tests/BUILD.bazel @@ -8,7 +8,8 @@ ray_cc_test( deps = [ "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/rpc:node_manager_client", + "//src/ray/raylet_client:node_manager_client", + "//src/ray/raylet_client:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/rpc/node_manager/tests/raylet_client_pool_test.cc b/src/ray/raylet_client/tests/raylet_client_pool_test.cc similarity index 99% rename from src/ray/rpc/node_manager/tests/raylet_client_pool_test.cc rename to src/ray/raylet_client/tests/raylet_client_pool_test.cc index 6b031229354b..7c8a85855f85 100644 --- a/src/ray/rpc/node_manager/tests/raylet_client_pool_test.cc +++ b/src/ray/raylet_client/tests/raylet_client_pool_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_pool.h" #include diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 4260d0065844..295f39aa0d05 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -123,33 +123,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "node_manager_client", - srcs = ["node_manager/raylet_client_pool.cc"], - hdrs = [ - "node_manager/node_manager_client.h", - "node_manager/raylet_client_pool.h", - ] + [ - # TODO(eoakes): these are needed due to a circular dependency: - # raylet_client_pool.cc -> raylet_client.h -> node_manager_client.h - "//src/ray/raylet_client:raylet_client.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":client_call", - ":grpc_client", - "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/protobuf:node_manager_cc_grpc", - "//src/ray/util:network_util", - ] + [ - # TODO(eoakes): these three come from raylet_client.h, remove after breaking the circular dependency. - "//src/ray/ipc:client_connection", - "//src/ray/common:ray_object", - "//src/ray/common:task_common", - ], -) - ray_cc_library( name = "node_manager_server", hdrs = [ @@ -228,7 +201,8 @@ ray_cc_library( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/pubsub:subscriber", - "//src/ray/raylet_client:raylet_client_lib", + "//src/ray/raylet_client:raylet_client_interface", + "//src/ray/raylet_client:raylet_client_pool", "//src/ray/util:logging", "//src/ray/util:network_util", "@com_github_grpc_grpc//:grpc++", diff --git a/src/ray/rpc/node_manager/node_manager_server.h b/src/ray/rpc/node_manager/node_manager_server.h index d8b2a781a151..315507085459 100644 --- a/src/ray/rpc/node_manager/node_manager_server.h +++ b/src/ray/rpc/node_manager/node_manager_server.h @@ -65,7 +65,7 @@ class NodeManagerServiceHandler { /// Handlers. For all of the following handlers, the implementations can /// handle the request asynchronously. When handling is done, the /// `send_reply_callback` should be called. See - /// src/ray/rpc/node_manager/node_manager_client.h and + /// src/ray/raylet_client/node_manager_client.h and /// src/ray/protobuf/node_manager.proto for a description of the /// functionality of each handler. /// diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index 370ac45cf6fd..cbbf4cc3d07c 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -24,8 +24,8 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/raylet_client/raylet_client.h" -#include "ray/rpc/node_manager/raylet_client_pool.h" +#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { From 07e0c47caa71c07037fd045f0e718c69ccdba8b3 Mon Sep 17 00:00:00 2001 From: Anmol Singh Date: Wed, 3 Sep 2025 01:37:54 +0530 Subject: [PATCH 0984/1566] Add metadata to indicate full dashboard embedding is supported (#56077) Since we introduced panel groups to Default (https://github.com/ray-project/ray/pull/55620) & Data (https://github.com/ray-project/ray/pull/55495) dashboards, applications consuming Grafana dashboards can comfortably embed the full dashboard on any UI now (and the other dashboards are pretty usable even without them). Added a `"supportsFullGrafanaView"` tag to the `rayMeta` list in Default Dashboard to indicate to consumers that we support full Grafana dashboard embedding from now on. --------- Signed-off-by: anmol Co-authored-by: anmol Signed-off-by: Douglas Strodtman --- .../metrics/dashboards/default_grafana_dashboard_base.json | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json index 0ad52d3fb128..3771296cd2a1 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/default_grafana_dashboard_base.json @@ -163,6 +163,7 @@ } ] }, + "rayMeta": ["supportsFullGrafanaView"], "time": { "from": "now-30m", "to": "now" From 41cd058153232a988582327461207f8e42fb0351 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Wed, 3 Sep 2025 01:52:15 +0530 Subject: [PATCH 0985/1566] [core] Make test-only transition methods private in ShutdownCoordinator (#56050) ## Why are these changes needed? This is a followup from https://github.com/ray-project/ray/pull/54244 - Restrict `TryInitiateShutdown`, `TryTransitionToDisconnecting`, and `TryTransitionToShutdown` to private once all production code calls `RequestShutdown`. - Minimize API surface and prevent misuse; with a single entry point, internal transitions need not be externally callable. - Update tests to exercise only `RequestShutdown` ## Related issue number Closes #55739 --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- .../core_worker_shutdown_executor.cc | 2 - src/ray/core_worker/shutdown_coordinator.cc | 5 -- src/ray/core_worker/shutdown_coordinator.h | 46 +++++-------------- .../tests/shutdown_coordinator_test.cc | 29 ++++-------- 4 files changed, 20 insertions(+), 62 deletions(-) diff --git a/src/ray/core_worker/core_worker_shutdown_executor.cc b/src/ray/core_worker/core_worker_shutdown_executor.cc index f8680d709219..6b1d66ddc836 100644 --- a/src/ray/core_worker/core_worker_shutdown_executor.cc +++ b/src/ray/core_worker/core_worker_shutdown_executor.cc @@ -123,8 +123,6 @@ void CoreWorkerShutdownExecutor::ExecuteExit( [this, exit_type, detail, creation_task_exception_pb_bytes]() { rpc::DrainServerCallExecutor(); KillChildProcessesImmediately(); - // Disconnect should be put close to Shutdown - // https://github.com/ray-project/ray/pull/34883 DisconnectServices(exit_type, detail, creation_task_exception_pb_bytes); ExecuteGracefulShutdown( exit_type, "Post-exit graceful shutdown", std::chrono::milliseconds{30000}); diff --git a/src/ray/core_worker/shutdown_coordinator.cc b/src/ray/core_worker/shutdown_coordinator.cc index 93e5489b4144..a08cb8ec0f88 100644 --- a/src/ray/core_worker/shutdown_coordinator.cc +++ b/src/ray/core_worker/shutdown_coordinator.cc @@ -82,11 +82,6 @@ bool ShutdownCoordinator::RequestShutdown( return true; } -bool ShutdownCoordinator::TryInitiateShutdown(ShutdownReason reason) { - // Legacy compatibility - delegate to graceful shutdown by default - return RequestShutdown(false, reason, "", kInfiniteTimeout, nullptr); -} - bool ShutdownCoordinator::TryTransitionToDisconnecting() { std::lock_guard lock(mu_); if (state_ != ShutdownState::kShuttingDown) { diff --git a/src/ray/core_worker/shutdown_coordinator.h b/src/ray/core_worker/shutdown_coordinator.h index f685261a5989..2692cb72a28d 100644 --- a/src/ray/core_worker/shutdown_coordinator.h +++ b/src/ray/core_worker/shutdown_coordinator.h @@ -165,40 +165,6 @@ class ShutdownCoordinator { const std::shared_ptr<::ray::LocalMemoryBuffer> &creation_task_exception_pb_bytes = nullptr); - /// Legacy method for compatibility - delegates to RequestShutdown - /// TODO (codope): This is public for now to ease incremental migration and testing. - /// Consider removing or making private once all call sites are wired to - /// RequestShutdown directly. - /// \param reason The reason for shutdown initiation - /// \return true if this call initiated shutdown, false if already shutting down - bool TryInitiateShutdown(ShutdownReason reason); - - /// Attempt to transition to disconnecting state. - /// - /// Begins the disconnection/cleanup phase (e.g., GCS/raylet disconnect). Only - /// valid from kShuttingDown. - /// - /// \return true if transition succeeded, false if invalid state - /// TODO (codope): Public-for-now to support targeted tests; make private when tests - /// drive behavior exclusively via RequestShutdown. - /// TODO (codope): Once private, we can consider removing the internal mutex acquisition - /// here and in TryTransitionToShutdown(), since RequestShutdown serializes the - /// execution path and only a single thread invokes transitions. - bool TryTransitionToDisconnecting(); - - /// Attempt to transition to final shutdown state. - /// - /// Finalizes shutdown. Allowed from kDisconnecting (normal) or kShuttingDown - /// (force path). - /// - /// \return true if transition succeeded, false if invalid state - /// TODO (codope): Public-for-now to support targeted tests; make private when tests - /// drive behavior exclusively via RequestShutdown. - /// TODO (codope): Once private, we can consider removing the internal mutex acquisition - /// here and in TryTransitionToDisconnecting(), since RequestShutdown serializes the - /// execution path and only a single thread invokes transitions. - bool TryTransitionToShutdown(); - /// Get the current shutdown state (mutex-protected, fast path safe). /// /// \return Current shutdown state @@ -248,6 +214,18 @@ class ShutdownCoordinator { std::string GetReasonString() const; private: + /// Attempt to transition to disconnecting state. + /// Begins the disconnection/cleanup phase (e.g., GCS/raylet disconnect). Only + /// valid from kShuttingDown. + /// \return true if transition succeeded, false if invalid state + bool TryTransitionToDisconnecting(); + + /// Attempt to transition to final shutdown state. + /// Finalizes shutdown. Allowed from kDisconnecting (normal) or kShuttingDown + /// (force path). + /// \return true if transition succeeded, false if invalid state + bool TryTransitionToShutdown(); + /// Execute shutdown sequence based on worker type and mode void ExecuteShutdownSequence( bool force_shutdown, diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index f01b80dba9d7..8752a8d8c966 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -148,18 +148,17 @@ TEST_F(ShutdownCoordinatorTest, RequestShutdown_IdempotentBehavior) { EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kForcedExit); // Reason is updated } -TEST_F(ShutdownCoordinatorTest, - TryInitiateShutdown_DelegatesToGraceful_OnlyFirstSucceeds) { +TEST_F(ShutdownCoordinatorTest, RequestShutdown_DelegatesToGraceful_OnlyFirstSucceeds) { auto coordinator = CreateCoordinator(); - EXPECT_TRUE(coordinator->TryInitiateShutdown(ShutdownReason::kUserError)); + EXPECT_TRUE(coordinator->RequestShutdown(false, ShutdownReason::kUserError)); const auto state = coordinator->GetState(); EXPECT_TRUE(state == ShutdownState::kShuttingDown || state == ShutdownState::kDisconnecting); EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kUserError); // Second call should fail - EXPECT_FALSE(coordinator->TryInitiateShutdown(ShutdownReason::kForcedExit)); + EXPECT_FALSE(coordinator->RequestShutdown(false, ShutdownReason::kForcedExit)); EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kUserError); // unchanged } @@ -177,24 +176,12 @@ TEST_F(ShutdownCoordinatorTest, EXPECT_EQ(coordinator->GetReason(), ShutdownReason::kGracefulExit); // Disconnecting -> Shutdown - EXPECT_TRUE(coordinator->TryTransitionToShutdown()); + EXPECT_TRUE(coordinator->RequestShutdown(true, ShutdownReason::kForcedExit)); EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); // Further transitions are no-ops. - EXPECT_FALSE(coordinator->TryTransitionToDisconnecting()); - EXPECT_FALSE(coordinator->TryTransitionToShutdown()); -} - -TEST_F(ShutdownCoordinatorTest, InvalidTransitions_FromRunning_Fail) { - auto coordinator = CreateCoordinator(); - - // Cannot transition to disconnecting from running - EXPECT_FALSE(coordinator->TryTransitionToDisconnecting()); - EXPECT_EQ(coordinator->GetState(), ShutdownState::kRunning); - - // Cannot transition to shutdown from running - EXPECT_FALSE(coordinator->TryTransitionToShutdown()); - EXPECT_EQ(coordinator->GetState(), ShutdownState::kRunning); + EXPECT_FALSE(coordinator->RequestShutdown(false, ShutdownReason::kGracefulExit)); + EXPECT_FALSE(coordinator->RequestShutdown(true, ShutdownReason::kForcedExit)); } TEST_F(ShutdownCoordinatorTest, ForceShutdown_TransitionsDirectlyToShutdown) { @@ -205,7 +192,7 @@ TEST_F(ShutdownCoordinatorTest, ForceShutdown_TransitionsDirectlyToShutdown) { ShutdownReason::kForcedExit)); // Already in shutdown state, manual transition should fail - EXPECT_FALSE(coordinator->TryTransitionToShutdown()); + EXPECT_FALSE(coordinator->RequestShutdown(true, ShutdownReason::kForcedExit)); EXPECT_EQ(coordinator->GetState(), ShutdownState::kShutdown); } @@ -291,7 +278,7 @@ TEST_F(ShutdownCoordinatorTest, StringRepresentations_StateAndReason_AreReadable EXPECT_EQ(coordinator->GetStateString(), "Disconnecting"); EXPECT_EQ(coordinator->GetReasonString(), "GracefulExit"); - coordinator->TryTransitionToShutdown(); + coordinator->RequestShutdown(true, ShutdownReason::kForcedExit); EXPECT_EQ(coordinator->GetStateString(), "Shutdown"); } From fca7c00bedcaef01b5fa3b8b84532571ad548679 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 2 Sep 2025 13:23:45 -0700 Subject: [PATCH 0986/1566] [ci] declare test rule tags in test_rules file (#56127) and perform more aggresive checks, so that people do not forget to declaration when adding new tags. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/pipeline/determine_tests_to_run.py | 57 ++++++++++++++++--------- ci/pipeline/test_conditional_testing.py | 22 +++++++++- ci/pipeline/test_rules.txt | 12 +++++- 3 files changed, 69 insertions(+), 22 deletions(-) diff --git a/ci/pipeline/determine_tests_to_run.py b/ci/pipeline/determine_tests_to_run.py index e32d548668f6..c29815199cf4 100644 --- a/ci/pipeline/determine_tests_to_run.py +++ b/ci/pipeline/determine_tests_to_run.py @@ -8,16 +8,6 @@ from pprint import pformat from typing import List, Optional, Set, Tuple -_ALL_TAGS = set( - """ - always - lint python cpp core_cpp java workflow compiled_graphs dashboard ray_client - data dask serve ml tune train llm rllib rllib_gpu rllib_directly - linux_wheels macos_wheels docker doc python_dependencies tools - release_tests compiled_python spark_on_ray runtime_env_container - """.split() -) - def _list_changed_files(commit_range): """Returns a list of names of files changed in the given commit range. @@ -63,11 +53,13 @@ class TagRule: def __init__( self, tags: List[str], + lineno: int, dirs: Optional[List[str]] = None, files: Optional[List[str]] = None, patterns: Optional[List[str]] = None, ): self.tags = set(tags) + self.lineno = lineno self.dirs = dirs or [] self.patterns = patterns or [] self.files = files or [] @@ -90,7 +82,7 @@ def match_tags(self, changed_file: str) -> Tuple[Set[str], bool]: return set(), False -def _parse_rules(rule_content: str) -> List[TagRule]: +def _parse_rules(rule_content: str) -> Tuple[Set[str], List[TagRule]]: """ Parse the rule config content into a list ot TagRule's. @@ -112,6 +104,9 @@ def _parse_rules(rule_content: str) -> List[TagRule]: """ rules: List[TagRule] = [] + tag_defs: Set[str] = set() + tag_defs_ended: bool = False + tags: Set[str] = set() dirs: List[str] = [] files: List[str] = [] @@ -129,13 +124,22 @@ def _parse_rules(rule_content: str) -> List[TagRule]: if comment_index != -1: line = line[:comment_index].strip() # Remove comments. + if line.startswith("!"): + if tag_defs_ended: + raise ValueError("Tag must be declared at file start.") + tag_defs.update(line[1:].split()) + continue + + if not tag_defs_ended: + tag_defs_ended = True + if line.startswith("@"): # tags. # Strip the leading '@' and split into tags. tags.update(line[1:].split()) elif line.startswith(";"): # End of a rule. if line != ";": raise ValueError(f"Unexpected tokens after semicolon on line {lineno}.") - rules.append(TagRule(tags, dirs, files, patterns)) + rules.append(TagRule(tags, lineno, dirs, files, patterns)) tags, dirs, files, patterns = set(), [], [], [] else: if line.find("*") != -1: # Patterns. @@ -147,20 +151,33 @@ def _parse_rules(rule_content: str) -> List[TagRule]: # Append the last rule if not empty. if tags or dirs or files or patterns: - rules.append(TagRule(tags, dirs, files, patterns)) + rules.append(TagRule(tags, lineno, dirs, files, patterns)) - return rules + return tag_defs, rules class TagRuleSet: def __init__(self, content: Optional[str] = None): + self.tag_defs = set() + self.rules = [] + if content is not None: - self.rules = _parse_rules(content) - else: - self.rules = [] + self.add_rules(content) def add_rules(self, content: str): - self.rules.extend(_parse_rules(content)) + tag_defs, rules = _parse_rules(content) + self.tag_defs.update(tag_defs) + self.rules.extend(rules) + + def check_rules(self): + for rule in self.rules: + if not rule.tags: + continue + for tag in rule.tags: + if tag not in self.tag_defs: + raise ValueError( + f"Tag {tag} not declared, used in rule at line {rule.lineno}." + ) def match_tags(self, changed_file: str) -> Tuple[Set[str], bool]: for rule in self.rules: @@ -187,6 +204,8 @@ def match_tags(self, changed_file: str) -> Tuple[Set[str], bool]: with open(config) as f: rules.add_rules(f.read()) + rules.check_rules() + tags: Set[str] = set() tags.add("always") @@ -220,7 +239,7 @@ def _emit(line: str): # Log the modified environment variables visible in console. output_string = " ".join(list(tags)) for tag in tags: - assert tag in _ALL_TAGS, f"Unknown tag {tag}" + assert tag in rules.tag_defs, f"Unknown tag {tag}" print(output_string, file=sys.stderr) # Debug purpose print(output_string) diff --git a/ci/pipeline/test_conditional_testing.py b/ci/pipeline/test_conditional_testing.py index 91e59c462a94..9dfbb68292d1 100644 --- a/ci/pipeline/test_conditional_testing.py +++ b/ci/pipeline/test_conditional_testing.py @@ -166,6 +166,7 @@ def __init__(self, file: str, tags: Set[str]): def test_tag_rule(): rule = TagRule( tags=["hit"], + lineno=1, dirs=["fancy"], files=["file.txt"], patterns=["python/*.py"], @@ -182,7 +183,7 @@ def test_tag_rule(): assert rule.match_tags("fancy") == ({"hit"}, True) assert rule.match_tags("not_match") == (set(), False) - skip_rule = TagRule(tags=[], files=["skip.txt"]) + skip_rule = TagRule(tags=[], lineno=1, files=["skip.txt"]) assert skip_rule.match("skip.txt") assert skip_rule.match_tags("skip.txt") == (set(), True) assert skip_rule.match_tags("not_match") == (set(), False) @@ -193,8 +194,19 @@ def test_tag_rule_set(): assert rule_set.match_tags("fancy/file.txt") == ({"fancy"}, True) rule_set = TagRuleSet( - "\n".join(["fancy/ #dir", "@fancy", ";", "\t\t ", "foobar.txt", "@foobar"]) + "\n".join( + [ + "!fancy foobar", + "fancy/ #dir", + "@fancy", + ";", + "\t\t ", + "foobar.txt", + "@foobar", + ] + ) ) + rule_set.check_rules() assert rule_set.match_tags("fancy/file.txt") == ({"fancy"}, True) assert rule_set.match_tags("foobar.txt") == ({"foobar"}, True) assert rule_set.match_tags("not_a_match") == (set(), False) @@ -203,5 +215,11 @@ def test_tag_rule_set(): assert rule_set.match_tags("anything") == (set(), False) +def test_tag_rule_set_check_rules(): + rule_set = TagRuleSet("\n".join(["!foobar", "fancy/ #dir", "@fancy"])) + with pytest.raises(ValueError): + rule_set.check_rules() + + if __name__ == "__main__": sys.exit(pytest.main(["-vv", __file__])) diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index f19d274cfee0..a3aebf566d7e 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -3,13 +3,23 @@ # Comment content, after '#', will be ignored. # Empty lines will be ignored too. # +# ! tag1 tag2 tag3 # Declares a tag. A tag must be declared first to be used. +# # Tags must be declared at the beginning. +# # dir/ # Directory to match # file # File to match # dir/*.py # Pattern to match, using fnmatch, matches dir/a.py dir/dir/b.py or dir/.py -# @ tag1 tag2 tag3 # Tags to emit for a rule. A rule without tags is a skipping rule. +# @ tag1 tag2 tag3 # Tags to emit for a rule. A rule without tags is a skipping rule. # # ; # Semicolon to separate rules +! always lint +! python cpp core_cpp java workflow compiled_graphs dashboard +! ray_client runtime_env_container +! data dask serve ml tune train llm rllib rllib_gpu rllib_directly +! linux_wheels macos_wheels docker doc python_dependencies tools +! release_tests spark_on_ray + python/ray/air/ @ ml train tune data linux_wheels ; From 818d10fc44c424585ea61266d3c021ed16665552 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 2 Sep 2025 17:46:04 -0400 Subject: [PATCH 0987/1566] [Data] Removing Parquet metadata fetching in `ParquetDatasource` (#56105) Historically, `ParquetDatasource` have been fetching individual files parquet footer metadata to obtain granular metadata about the dataset. While laudable in principle, it's really inefficient in practice and manifests itself in extremely poor performance on very large datasets (10s to 100s Ks of files). This change revisits this approach by - Removing metadata fetching as a step (and deprecating involved components) - Cleaning up and streamlining some of the other utilities further optimizing performance ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../datasource/parquet_datasource.py | 113 ++++++------- .../logical/operators/count_operator.py | 6 +- python/ray/data/dataset.py | 5 +- .../ray/data/datasource/file_meta_provider.py | 43 ++++- .../data/datasource/parquet_meta_provider.py | 155 +++++++----------- python/ray/data/datasource/partitioning.py | 7 +- python/ray/data/datasource/path_util.py | 4 +- python/ray/data/tests/test_consumption.py | 4 +- .../ray/data/tests/test_metadata_provider.py | 14 +- python/ray/data/tests/test_parquet.py | 98 +++-------- 10 files changed, 194 insertions(+), 255 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 44ccbd1e55b2..9589036aefd4 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -24,7 +24,6 @@ RetryingPyFileSystem, _check_pyarrow_version, _is_local_scheme, - call_with_retry, iterate_with_retry, ) from ray.data.block import Block, BlockAccessor @@ -33,10 +32,13 @@ from ray.data.datasource.datasource import ReadTask from ray.data.datasource.file_based_datasource import FileShuffleConfig from ray.data.datasource.file_meta_provider import ( - DefaultFileMetadataProvider, _handle_read_os_error, + _list_files, +) +from ray.data.datasource.parquet_meta_provider import ( + ParquetFileMetadata, + ParquetMetadataProvider, ) -from ray.data.datasource.parquet_meta_provider import ParquetMetadataProvider from ray.data.datasource.partitioning import ( PartitionDataType, Partitioning, @@ -101,12 +103,19 @@ class _SampleInfo: estimated_bytes_per_row: Optional[int] -# TODO(ekl) this is a workaround for a pyarrow serialization bug, where serializing a -# raw pyarrow file fragment causes S3 network calls. -class SerializedFragment: - def __init__(self, frag: "ParquetFileFragment"): - self._data = cloudpickle.dumps( - (frag.format, frag.path, frag.filesystem, frag.partition_expression) +class _NoIOSerializableFragmentWrapper: + """This is a workaround to avoid utilizing `ParquetFileFragment` original + serialization protocol that actually does network RPCs during serialization + (to fetch metadata)""" + + def __init__(self, f: "ParquetFileFragment"): + self._fragment = f + + def __reduce__(self): + return self._fragment.format.make_fragment, ( + self._fragment.path, + self._fragment.filesystem, + self._fragment.partition_expression, ) def deserialize(self) -> "ParquetFileFragment": @@ -122,7 +131,7 @@ def deserialize(self) -> "ParquetFileFragment": # Visible for test mocking. def _deserialize_fragments( - serialized_fragments: List[SerializedFragment], + serialized_fragments: List[_NoIOSerializableFragmentWrapper], ) -> List["pyarrow._dataset.ParquetFileFragment"]: return [p.deserialize() for p in serialized_fragments] @@ -204,28 +213,24 @@ def __init__( retryable_errors=DataContext.get_current().retried_io_errors, ) - # HACK: PyArrow's `ParquetDataset` errors if input paths contain non-parquet - # files. To avoid this, we expand the input paths with the default metadata - # provider and then apply the partition filter or file extensions. - if partition_filter is not None or file_extensions is not None: - default_meta_provider = DefaultFileMetadataProvider() - expanded_paths, _ = map( - list, zip(*default_meta_provider.expand_paths(paths, filesystem)) - ) - - paths = list(expanded_paths) - if partition_filter is not None: - paths = partition_filter(paths) - if file_extensions is not None: - paths = [ - path for path in paths if _has_file_extension(path, file_extensions) - ] + listed_files = _list_files( + paths, + filesystem, + partition_filter=partition_filter, + file_extensions=file_extensions, + ) - filtered_paths = set(expanded_paths) - set(paths) - if filtered_paths: - logger.info(f"Filtered out {len(filtered_paths)} paths") + if listed_files: + paths, file_sizes = zip(*listed_files) + else: + paths, file_sizes = [], [] - if dataset_kwargs is None: + if dataset_kwargs is not None: + logger.warning( + "Please note that `ParquetDatasource.__init__`s `dataset_kwargs` " + "is a deprecated parameter and will be removed in the future." + ) + else: dataset_kwargs = {} if "partitioning" in dataset_kwargs: @@ -238,7 +243,9 @@ def __init__( # duplicating the partition data, we disable PyArrow's partitioning. dataset_kwargs["partitioning"] = None - pq_ds = get_parquet_dataset(paths, filesystem, dataset_kwargs) + # NOTE: ParquetDataset only accepts list of paths, hence we need to convert + # it to a list + pq_ds = get_parquet_dataset(list(paths), filesystem, dataset_kwargs) # `read_schema` is the schema object that will be used to perform # read operations. @@ -277,12 +284,13 @@ def __init__( "scheduling_strategy" ] = DataContext.get_current().scheduling_strategy - self._metadata = ( - meta_provider.prefetch_file_metadata( - pq_ds.fragments, **prefetch_remote_args + self._metadata = [ + ParquetFileMetadata( + num_bytes=num_bytes, ) - or [] - ) + for num_bytes in file_sizes + ] + except OSError as e: _handle_read_os_error(e, paths) @@ -292,7 +300,9 @@ def __init__( # NOTE: Store the custom serialized `ParquetFileFragment` to avoid unexpected # network calls when `_ParquetDatasourceReader` is serialized. See # `_SerializedFragment()` implementation for more details. - self._pq_fragments = [SerializedFragment(p) for p in pq_ds.fragments] + self._pq_fragments = [ + _NoIOSerializableFragmentWrapper(p) for p in pq_ds.fragments + ] self._pq_paths = [p.path for p in pq_ds.fragments] self._meta_provider = meta_provider self._block_udf = _block_udf @@ -332,7 +342,7 @@ def __init__( def estimate_inmemory_data_size(self) -> Optional[int]: total_size = 0 for file_metadata in self._metadata: - total_size += file_metadata.total_byte_size + total_size += file_metadata.num_bytes return total_size * self._encoding_ratio def get_read_tasks(self, parallelism: int) -> List[ReadTask]: @@ -443,18 +453,13 @@ def read_fragments( data_columns, partition_columns, schema, - serialized_fragments: List[SerializedFragment], + fragments: List["ParquetFileFragment"], include_paths: bool, partitioning: Partitioning, ) -> Iterator["pyarrow.Table"]: # This import is necessary to load the tensor extension type. from ray.data.extensions.tensor_extension import ArrowTensorType # noqa - # Deserialize after loading the filesystem class. - fragments: List[ - "pyarrow._dataset.ParquetFileFragment" - ] = _deserialize_fragments_with_retry(serialized_fragments) - # Ensure that we're reading at least one dataset fragment. assert len(fragments) > 0 @@ -510,30 +515,12 @@ def get_batch_iterable(): yield table -def _deserialize_fragments_with_retry(fragments): - # The deserialization retry helps when the upstream datasource is not able to - # handle overloaded read request or failed with some retriable failures. - # For example when reading data from HA hdfs service, hdfs might - # lose connection for some unknown reason expecially when - # simutaneously running many hyper parameter tuning jobs - # with ray.data parallelism setting at high value like the default 200 - # Such connection failure can be restored with some waiting and retry. - return call_with_retry( - lambda: _deserialize_fragments(fragments), - description="deserialize fragments", - max_attempts=FILE_READING_RETRY, - ) - - def _sample_fragment( to_batches_kwargs, columns, schema, - file_fragment: SerializedFragment, + fragment: "ParquetFileFragment", ) -> _SampleInfo: - # Sample the first rows batch from file fragment `serialized_fragment`. - fragment = _deserialize_fragments_with_retry([file_fragment])[0] - # If the fragment has no row groups, it's an empty or metadata-only file. # Skip it by returning empty sample info. if fragment.metadata.num_row_groups == 0: diff --git a/python/ray/data/_internal/logical/operators/count_operator.py b/python/ray/data/_internal/logical/operators/count_operator.py index 409c99e3c000..39ec706f7e50 100644 --- a/python/ray/data/_internal/logical/operators/count_operator.py +++ b/python/ray/data/_internal/logical/operators/count_operator.py @@ -1,5 +1,3 @@ -from typing import List - from ray.data._internal.logical.interfaces import LogicalOperator @@ -15,6 +13,6 @@ class Count(LogicalOperator): def __init__( self, - input_dependencies: List["LogicalOperator"], + input_op: LogicalOperator, ): - super().__init__("Count", input_dependencies) + super().__init__("Count", [input_op]) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 0fd023adb610..f2cef1c44761 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -3391,7 +3391,10 @@ def count(self) -> int: return meta_count plan = self._plan.copy() - count_op = Count([self._logical_plan.dag]) + + # NOTE: Project the dataset to avoid the need to carrying actual + # data when we're only interested in the total count + count_op = Count(Project(self._logical_plan.dag, cols=[])) logical_plan = LogicalPlan(count_op, self.context) count_ds = Dataset(plan, logical_plan) diff --git a/python/ray/data/datasource/file_meta_provider.py b/python/ray/data/datasource/file_meta_provider.py index ed5ae26f903c..354f761d9651 100644 --- a/python/ray/data/datasource/file_meta_provider.py +++ b/python/ray/data/datasource/file_meta_provider.py @@ -20,7 +20,8 @@ from ray.data._internal.remote_fn import cached_remote_fn from ray.data._internal.util import RetryingPyFileSystem from ray.data.block import BlockMetadata -from ray.data.datasource.partitioning import Partitioning +from ray.data.datasource.partitioning import Partitioning, PathPartitionFilter +from ray.data.datasource.path_util import _has_file_extension from ray.util.annotations import DeveloperAPI if TYPE_CHECKING: @@ -243,6 +244,46 @@ def _handle_read_os_error(error: OSError, paths: Union[str, List[str]]) -> str: raise error +def _list_files( + paths: List[str], + filesystem: "RetryingPyFileSystem", + *, + partition_filter: Optional[PathPartitionFilter], + file_extensions: Optional[List[str]], +) -> List[Tuple[str, int]]: + return list( + _list_files_internal( + paths, + filesystem, + partition_filter=partition_filter, + file_extensions=file_extensions, + ) + ) + + +def _list_files_internal( + paths: List[str], + filesystem: "RetryingPyFileSystem", + *, + partition_filter: Optional[PathPartitionFilter], + file_extensions: Optional[List[str]], +) -> Iterator[Tuple[str, int]]: + default_meta_provider = DefaultFileMetadataProvider() + + for path, file_size in default_meta_provider.expand_paths(paths, filesystem): + # HACK: PyArrow's `ParquetDataset` errors if input paths contain non-parquet + # files. To avoid this, we expand the input paths with the default metadata + # provider and then apply the partition filter or file extensions. + if ( + partition_filter + and not partition_filter.apply(path) + or not _has_file_extension(path, file_extensions) + ): + continue + + yield path, file_size + + def _expand_paths( paths: List[str], filesystem: "RetryingPyFileSystem", diff --git a/python/ray/data/datasource/parquet_meta_provider.py b/python/ray/data/datasource/parquet_meta_provider.py index 73a3c41ef6e2..25b33f27411e 100644 --- a/python/ray/data/datasource/parquet_meta_provider.py +++ b/python/ray/data/datasource/parquet_meta_provider.py @@ -1,6 +1,7 @@ -from typing import TYPE_CHECKING, List, Optional +import logging +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, List, Optional, Tuple -import ray.cloudpickle as cloudpickle from ray.data._internal.util import call_with_retry from ray.data.block import BlockMetadata from ray.data.datasource.file_meta_provider import ( @@ -11,8 +12,7 @@ if TYPE_CHECKING: import pyarrow - - from ray.data._internal.datasource.parquet_datasource import SerializedFragment + from pyarrow.dataset import ParquetFileFragment FRAGMENTS_PER_META_FETCH = 6 @@ -28,35 +28,21 @@ RETRY_MAX_BACKOFF_S_FOR_META_FETCH_TASK = 64 -class _ParquetFileFragmentMetaData: - """Class to store metadata of a Parquet file fragment. This includes - all attributes from `pyarrow.parquet.FileMetaData` except for `schema`, - which is stored in `self.schema_pickled` as a pickled object from - `cloudpickle.loads()`, used in deduplicating schemas across multiple fragments.""" - - def __init__(self, fragment_metadata: "pyarrow.parquet.FileMetaData"): - self.created_by = fragment_metadata.created_by - self.format_version = fragment_metadata.format_version - self.num_columns = fragment_metadata.num_columns - self.num_row_groups = fragment_metadata.num_row_groups - self.num_rows = fragment_metadata.num_rows - self.serialized_size = fragment_metadata.serialized_size +logger = logging.getLogger(__name__) - # Serialize the schema directly in the constructor - schema_ser = cloudpickle.dumps(fragment_metadata.schema.to_arrow_schema()) - self.schema_pickled = schema_ser - # Calculate the total byte size of the file fragment using the original - # object, as it is not possible to access row groups from this class. - self.total_byte_size = 0 - for row_group_idx in range(fragment_metadata.num_row_groups): - row_group_metadata = fragment_metadata.row_group(row_group_idx) - self.total_byte_size += row_group_metadata.total_byte_size +@DeveloperAPI(stability="alpha") +@dataclass +class ParquetFileMetadata: + num_bytes: int + num_rows: Optional[int] = field(default=None) - def set_schema_pickled(self, schema_pickled: bytes): - """Note: to get the underlying schema, use - `cloudpickle.loads(self.schema_pickled)`.""" - self.schema_pickled = schema_pickled + @classmethod + def from_(cls, pqm: "pyarrow.parquet.FileMetaData"): + return ParquetFileMetadata( + num_rows=pqm.num_rows, + num_bytes=_get_total_bytes(pqm), + ) @DeveloperAPI @@ -68,7 +54,7 @@ def _get_block_metadata( paths: List[str], *, num_fragments: int, - prefetched_metadata: Optional[List["_ParquetFileFragmentMetaData"]], + prefetched_metadata: Optional[List["ParquetFileMetadata"]], ) -> BlockMetadata: """Resolves and returns block metadata for files of a single dataset block. @@ -88,11 +74,13 @@ def _get_block_metadata( and len(prefetched_metadata) == num_fragments and all(m is not None for m in prefetched_metadata) ): + total_bytes, total_rows = self._derive_totals(prefetched_metadata) + # Fragment metadata was available, construct a normal # BlockMetadata. block_metadata = BlockMetadata( - num_rows=sum(m.num_rows for m in prefetched_metadata), - size_bytes=sum(m.total_byte_size for m in prefetched_metadata), + num_rows=total_rows, + size_bytes=total_bytes, input_files=paths, exec_stats=None, ) # Exec stats filled in later. @@ -107,11 +95,29 @@ def _get_block_metadata( ) return block_metadata + @staticmethod + def _derive_totals( + prefetched_metadata: List["ParquetFileMetadata"], + ) -> Tuple[int, int]: + total_bytes = 0 + total_rows = 0 + + for m in prefetched_metadata: + total_bytes += m.num_bytes + + if total_rows is not None: + if m.num_rows is not None: + total_rows += m.num_rows + else: + total_rows = None + + return total_bytes, total_rows + def prefetch_file_metadata( self, fragments: List["pyarrow.dataset.ParquetFileFragment"], **ray_remote_args, - ) -> Optional[List[_ParquetFileFragmentMetaData]]: + ) -> Optional[List[ParquetFileMetadata]]: """Pre-fetches file metadata for all Parquet file fragments in a single batch. Subsets of the metadata returned will be provided as input to subsequent calls @@ -126,15 +132,18 @@ def prefetch_file_metadata( must be returned in the same order as all input file fragments, such that `metadata[i]` always contains the metadata for `fragments[i]`. """ - from ray.data._internal.datasource.parquet_datasource import SerializedFragment + from ray.data._internal.datasource.parquet_datasource import ( + _NoIOSerializableFragmentWrapper, + ) if len(fragments) > PARALLELIZE_META_FETCH_THRESHOLD: # Wrap Parquet fragments in serialization workaround. - fragments = [SerializedFragment(fragment) for fragment in fragments] + fragments = [ + _NoIOSerializableFragmentWrapper(fragment) for fragment in fragments + ] # Fetch Parquet metadata in parallel using Ray tasks. - - def fetch_func(fragments): - return _fetch_metadata_serialization_wrapper( + def _remote_fetch(fragments: List["ParquetFileFragment"]): + return _fetch_metadata_with_retry( fragments, # Ensure that retry settings are propagated to remote tasks. retry_match=RETRY_EXCEPTIONS_FOR_META_FETCH_TASK, @@ -145,13 +154,13 @@ def fetch_func(fragments): raw_metadata = list( _fetch_metadata_parallel( fragments, - fetch_func, + _remote_fetch, FRAGMENTS_PER_META_FETCH, **ray_remote_args, ) ) - return _dedupe_schemas(raw_metadata) + return raw_metadata else: # We don't deduplicate schemas in this branch because they're already @@ -162,20 +171,15 @@ def fetch_func(fragments): return raw_metadata -def _fetch_metadata_serialization_wrapper( - fragments: List["SerializedFragment"], +def _fetch_metadata_with_retry( + fragments: List["ParquetFileFragment"], retry_match: Optional[List[str]], retry_max_attempts: int, retry_max_interval: int, -) -> List["_ParquetFileFragmentMetaData"]: - from ray.data._internal.datasource.parquet_datasource import ( - _deserialize_fragments_with_retry, - ) - - deserialized_fragments = _deserialize_fragments_with_retry(fragments) +) -> List["ParquetFileMetadata"]: try: metadata = call_with_retry( - lambda: _fetch_metadata(deserialized_fragments), + lambda: _fetch_metadata(fragments), description="fetch metdata", match=retry_match, max_attempts=retry_max_attempts, @@ -215,53 +219,18 @@ def _fetch_metadata_serialization_wrapper( def _fetch_metadata( fragments: List["pyarrow.dataset.ParquetFileFragment"], -) -> List[_ParquetFileFragmentMetaData]: +) -> List["ParquetFileMetadata"]: fragment_metadatas = [] for f in fragments: try: # Convert directly to _ParquetFileFragmentMetaData - fragment_metadatas.append(_ParquetFileFragmentMetaData(f.metadata)) - except AttributeError: + fragment_metadatas.append(ParquetFileMetadata.from_(f.metadata)) + except AttributeError as ae: + logger.warning(f"Failed to extract metadata from parquet file: {ae}") break # Deduplicate schemas to reduce memory usage - return _dedupe_schemas(fragment_metadatas) - - -def _dedupe_schemas( - metadatas: List[_ParquetFileFragmentMetaData], -) -> List[_ParquetFileFragmentMetaData]: - """Deduplicates schema objects across existing _ParquetFileFragmentMetaData objects. - - For datasets with a large number of columns, the pickled schema can be very large. - This function reduces memory usage by ensuring that identical schemas across multiple - fragment metadata objects reference the same underlying pickled schema object, - rather than each fragment maintaining its own copy. - - Args: - metadatas: List of _ParquetFileFragmentMetaData objects that already have - pickled schemas set. - - Returns: - The same list of _ParquetFileFragmentMetaData objects, but with duplicate - schemas deduplicated to reference the same object in memory. - """ - schema_to_id = {} # schema_ser -> schema_id - id_to_schema = {} # schema_id -> schema_ser - - for metadata in metadatas: - # Get the current schema serialization - schema_ser = metadata.schema_pickled - - if schema_ser not in schema_to_id: - # This is a new unique schema - schema_id = len(schema_to_id) - schema_to_id[schema_ser] = schema_id - id_to_schema[schema_id] = schema_ser - # No need to set schema_pickled - it already has the correct value - else: - # This schema already exists, reuse the existing one - schema_id = schema_to_id[schema_ser] - existing_schema_ser = id_to_schema[schema_id] - metadata.set_schema_pickled(existing_schema_ser) + return fragment_metadatas + - return metadatas +def _get_total_bytes(pqm: "pyarrow.parquet.FileMetaData") -> int: + return sum(pqm.row_group(i).total_byte_size for i in range(pqm.num_row_groups)) diff --git a/python/ray/data/datasource/partitioning.py b/python/ray/data/datasource/partitioning.py index 2d83fe6b67de..20a626b09bce 100644 --- a/python/ray/data/datasource/partitioning.py +++ b/python/ray/data/datasource/partitioning.py @@ -434,11 +434,12 @@ def __call__(self, paths: List[str]) -> List[str]: """ filtered_paths = paths if self._filter_fn is not None: - filtered_paths = [ - path for path in paths if self._filter_fn(self._parser(path)) - ] + filtered_paths = [path for path in paths if self.apply(path)] return filtered_paths + def apply(self, path: str) -> bool: + return self._filter_fn(self._parser(path)) + @property def parser(self) -> PathPartitionParser: """Returns the path partition parser for this filter.""" diff --git a/python/ray/data/datasource/path_util.py b/python/ray/data/datasource/path_util.py index 6498300caa9f..5d9527243f36 100644 --- a/python/ray/data/datasource/path_util.py +++ b/python/ray/data/datasource/path_util.py @@ -39,7 +39,7 @@ def _has_file_extension(path: str, extensions: Optional[List[str]]) -> bool: def _resolve_paths_and_filesystem( paths: Union[str, List[str]], - filesystem: "pyarrow.fs.FileSystem" = None, + filesystem: Optional["pyarrow.fs.FileSystem"] = None, ) -> Tuple[List[str], "pyarrow.fs.FileSystem"]: """ Resolves and normalizes all provided paths, infers a filesystem from the @@ -69,7 +69,7 @@ def _resolve_paths_and_filesystem( elif not isinstance(paths, list) or any(not isinstance(p, str) for p in paths): raise ValueError( "Expected `paths` to be a `str`, `pathlib.Path`, or `list[str]`, but got " - f"`{paths}`." + f"`{paths}`" ) elif len(paths) == 0: raise ValueError("Must provide at least one path.") diff --git a/python/ray/data/tests/test_consumption.py b/python/ray/data/tests/test_consumption.py index c5b4fd3f5b65..c8437d5aaa22 100644 --- a/python/ray/data/tests/test_consumption.py +++ b/python/ray/data/tests/test_consumption.py @@ -1863,7 +1863,7 @@ def test_dataset_plan_as_string(ray_start_cluster): ds = ray.data.read_parquet("example://iris.parquet", override_num_blocks=8) assert ds._plan.get_plan_as_string(type(ds)) == ( "Dataset(\n" - " num_rows=150,\n" + " num_rows=?,\n" " schema={\n" " sepal.length: double,\n" " sepal.width: double,\n" @@ -1882,7 +1882,7 @@ def test_dataset_plan_as_string(ray_start_cluster): " +- MapBatches()\n" " +- MapBatches()\n" " +- Dataset(\n" - " num_rows=150,\n" + " num_rows=?,\n" " schema={\n" " sepal.length: double,\n" " sepal.width: double,\n" diff --git a/python/ray/data/tests/test_metadata_provider.py b/python/ray/data/tests/test_metadata_provider.py index ef4899abd085..c67e0890d506 100644 --- a/python/ray/data/tests/test_metadata_provider.py +++ b/python/ray/data/tests/test_metadata_provider.py @@ -27,6 +27,7 @@ _get_file_infos_parallel, _get_file_infos_serial, ) +from ray.data.datasource.parquet_meta_provider import _get_total_bytes from ray.data.datasource.path_util import ( _resolve_paths_and_filesystem, _unwrap_protocol, @@ -40,13 +41,6 @@ def df_to_csv(dataframe, path, **kwargs): dataframe.to_csv(path, **kwargs) -def _get_parquet_file_meta_size_bytes(file_metas): - return sum( - sum(m.row_group(i).total_byte_size for i in range(m.num_row_groups)) - for m in file_metas - ) - - def _get_file_sizes_bytes(paths, fs): from pyarrow.fs import FileType @@ -111,9 +105,11 @@ def test_default_parquet_metadata_provider(fs, data_path): num_fragments=len(pq_ds.fragments), prefetched_metadata=fragment_file_metas, ) - expected_meta_size_bytes = _get_parquet_file_meta_size_bytes( - [f.metadata for f in pq_ds.fragments] + + expected_meta_size_bytes = sum( + [_get_total_bytes(f.metadata) for f in pq_ds.fragments] ) + assert meta.size_bytes == expected_meta_size_bytes assert meta.num_rows == 6 assert len(paths) == 2 diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index bacf2c649941..67a517cfc002 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -2,7 +2,7 @@ import shutil import time from dataclasses import dataclass -from typing import Any, Optional +from typing import Optional import numpy as np import pandas as pd @@ -23,8 +23,6 @@ from ray.data._internal.datasource.parquet_datasource import ( NUM_CPUS_FOR_META_FETCH_TASK, ParquetDatasource, - SerializedFragment, - _deserialize_fragments_with_retry, ) from ray.data._internal.execution.interfaces.ref_bundle import ( _ref_bundles_iterator_to_block_refs_list, @@ -114,70 +112,6 @@ def test_include_paths( assert paths == [path, path] -@pytest.mark.parametrize( - "fs,data_path", - [ - (lazy_fixture("local_fs"), lazy_fixture("local_path")), - ], -) -def test_parquet_deserialize_fragments_with_retry( - ray_start_regular_shared, fs, data_path, monkeypatch -): - setup_data_path = _unwrap_protocol(data_path) - df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - table = pa.Table.from_pandas(df1) - path1 = os.path.join(setup_data_path, "test1.parquet") - pq.write_table(table, path1, filesystem=fs) - df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - table = pa.Table.from_pandas(df2) - path2 = os.path.join(setup_data_path, "test2.parquet") - pq.write_table(table, path2, filesystem=fs) - - dataset_kwargs = {} - pq_ds = pq.ParquetDataset( - data_path, - **dataset_kwargs, - filesystem=fs, - ) - serialized_fragments = [SerializedFragment(p) for p in pq_ds.fragments] - - # test 1st attempt succeed - fragments = _deserialize_fragments_with_retry(serialized_fragments) - assert "test1.parquet" in fragments[0].path - assert "test2.parquet" in fragments[1].path - - # test the 3rd attempt succeed with a mock function constructed - # to throw in the first two attempts - class MockDeserializer: - def __init__(self, planned_exp_or_return): - self.planned_exp_or_return = planned_exp_or_return - self.cur_index = 0 - - def __call__(self, *args: Any, **kwds: Any) -> Any: - exp_or_ret = self.planned_exp_or_return[self.cur_index] - self.cur_index += 1 - if isinstance(exp_or_ret, Exception): - raise exp_or_ret - else: - return exp_or_ret - - mock_deserializer = MockDeserializer( - [ - Exception("1st mock failed attempt"), - Exception("2nd mock failed attempt"), - fragments, - ] - ) - monkeypatch.setattr( - ray.data._internal.datasource.parquet_datasource, - "_deserialize_fragments", - mock_deserializer, - ) - retried_fragments = _deserialize_fragments_with_retry(serialized_fragments) - assert "test1.parquet" in retried_fragments[0].path - assert "test2.parquet" in retried_fragments[1].path - - @pytest.mark.parametrize( "fs,data_path", [ @@ -267,7 +201,10 @@ def test_parquet_read_meta_provider(ray_start_regular_shared, fs, data_path): pq.write_table(table, path2, filesystem=fs) expected_num_rows = len(df1) + len(df2) - expected_byte_size = 787500 + # NOTE: Since we're testing against various Pyarrow versions size + # on disk could be varying slightly as it on top of data it also + # includes metadata + expected_byte_size = pytest.approx(463500, abs=500) # # Case 1: Test metadata fetching happy path (obtaining, caching and propagating @@ -290,14 +227,19 @@ def prefetch_file_metadata(self, fragments, **ray_remote_args): ) # Expect precomputed row counts and block sizes to be missing. - assert ds._meta_count() == expected_num_rows + assert ds._meta_count() is None read_op = ds._plan._logical_plan.dag # Assert Read op metadata propagation - assert read_op.infer_metadata() == BlockMetadata( - num_rows=expected_num_rows, - size_bytes=expected_byte_size, + metadata = read_op.infer_metadata() + # NOTE: We assert on byte size separately, since we're using `pytest.approx` + # object for it + assert metadata.size_bytes == expected_byte_size + + assert metadata == BlockMetadata( + num_rows=None, + size_bytes=metadata.size_bytes, exec_stats=None, input_files=[path1, path2], ) @@ -371,8 +313,6 @@ def prefetch_file_metadata(self, fragments, **ray_remote_args): assert ds.schema() == Schema(expected_schema) assert set(ds.input_files()) == {path1, path2} - assert ds._plan.has_computed_output() - @pytest.mark.parametrize( "fs,data_path", @@ -899,7 +839,11 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): ctx.decoding_size_estimation = True try: tensor_output_path = os.path.join(tmp_path, "tensor") - ray.data.range_tensor(1000, shape=(1000,)).write_parquet(tensor_output_path) + # NOTE: It's crucial to override # of blocks to get stable # of files + # produced and make sure data size estimates are stable + ray.data.range_tensor( + 1000, shape=(1000,), override_num_blocks=10 + ).write_parquet(tensor_output_path) ds = ray.data.read_parquet( tensor_output_path, meta_provider=ParquetMetadataProvider() ) @@ -940,7 +884,7 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): assert ds._plan.initial_num_blocks() > 1 data_size = ds.size_bytes() assert ( - data_size >= 800_000 and data_size <= 2_000_000 + data_size >= 800_000 and data_size <= 2_200_000 ), "estimated data size is out of expected bound" data_size = ds.materialize().size_bytes() assert ( @@ -955,7 +899,7 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): ), "encoding ratio is out of expected bound" data_size = datasource.estimate_inmemory_data_size() assert ( - data_size >= 800_000 and data_size <= 2_000_000 + data_size >= 800_000 and data_size <= 2_200_000 ), "estimated data size is out of expected bound" assert ( data_size From e53d548185a704c70d74687663dfa44157262bee Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Tue, 2 Sep 2025 14:56:53 -0700 Subject: [PATCH 0988/1566] Fix non thread safe asyncio task creation in router (#56124) Closes https://github.com/ray-project/ray/issues/55142 Creating asyncio tasks from one thread on to event loop on another thread is not thread safe (but permissible) in asyncio. Currently this happens in two places in router 1. during handling assign_request 2. during creation of `_report_cached_metrics_forever` This PR fixes that, so that task creation happens in thread safe manner. I validated that this does not break bulk task cancellation, by rerunning the repro script from https://github.com/ray-project/ray/pull/52591 --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/router.py | 49 ++++++++---- python/ray/serve/_private/utils.py | 33 -------- .../unit/test_run_coroutine_threadsafe.py | 78 ------------------- 3 files changed, 36 insertions(+), 124 deletions(-) delete mode 100644 python/ray/serve/tests/unit/test_run_coroutine_threadsafe.py diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 29658716439d..52e2335df4c0 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -5,7 +5,7 @@ import time import weakref from abc import ABC, abstractmethod -from asyncio import AbstractEventLoop +from asyncio import AbstractEventLoop, ensure_future, futures from collections import defaultdict from collections.abc import MutableMapping from contextlib import contextmanager @@ -53,7 +53,6 @@ from ray.serve._private.utils import ( generate_request_id, resolve_deployment_response, - run_coroutine_or_future_threadsafe, ) from ray.serve.config import AutoscalingConfig from ray.serve.exceptions import BackPressureError, DeploymentUnavailableError @@ -147,7 +146,14 @@ def __init__( if self._cached_metrics_enabled: self._cached_num_router_requests = defaultdict(int) - event_loop.create_task(self._report_cached_metrics_forever()) + + def create_metrics_task(): + event_loop.create_task(self._report_cached_metrics_forever()) + + # the constructor is called in the user thread, but its trying to create a task on the event loop + # which is running in the router thread. This is not thread safe, so we need to use call_soon_threadsafe + # to create the task on the event loop thread safely. + event_loop.call_soon_threadsafe(create_metrics_task) @contextmanager def wrap_request_assignment(self, request_meta: RequestMetadata): @@ -949,17 +955,34 @@ def asyncio_future_callback( ) result.cancel() - task = self._asyncio_loop.create_task( - self._asyncio_router.assign_request( - request_meta, *request_args, **request_kwargs + concurrent_future = concurrent.futures.Future() + + def create_task_and_setup(): + task = self._asyncio_loop.create_task( + self._asyncio_router.assign_request( + request_meta, *request_args, **request_kwargs + ) ) - ) - # Route the actual request assignment coroutine on the asyncio loop thread. - concurrent_future = run_coroutine_or_future_threadsafe( - task, - loop=self._asyncio_loop, - ) - task.add_done_callback(lambda _: asyncio_future_callback(_, concurrent_future)) + + # Set up your cancellation callback + task.add_done_callback( + lambda _: asyncio_future_callback(_, concurrent_future) + ) + + try: + # chain the two futures to handle direction channel of cancellation + futures._chain_future( + ensure_future(task, loop=self._asyncio_loop), concurrent_future + ) + except (SystemExit, KeyboardInterrupt): + raise + except BaseException as exc: + if concurrent_future.set_running_or_notify_cancel(): + concurrent_future.set_exception(exc) + raise + + # Schedule on the event loop thread + self._asyncio_loop.call_soon_threadsafe(create_task_and_setup) return concurrent_future def shutdown(self) -> concurrent.futures.Future: diff --git a/python/ray/serve/_private/utils.py b/python/ray/serve/_private/utils.py index 924702c704da..065f6a8a301d 100644 --- a/python/ray/serve/_private/utils.py +++ b/python/ray/serve/_private/utils.py @@ -1,6 +1,5 @@ import asyncio import collections -import concurrent.futures import copy import importlib import inspect @@ -10,7 +9,6 @@ import time import uuid from abc import ABC, abstractmethod -from asyncio import coroutines, ensure_future, futures from decimal import ROUND_HALF_UP, Decimal from enum import Enum from functools import wraps @@ -636,37 +634,6 @@ def is_grpc_enabled(grpc_config) -> bool: return grpc_config.port > 0 and len(grpc_config.grpc_servicer_functions) > 0 -def run_coroutine_or_future_threadsafe(coro_or_future, loop): - """Submit a coroutine object or future to a given event loop. - - Ref: https://github.com/python/cpython/blob/eef49c359505eaf109d519d39e53dfd3c78d066a/Lib/asyncio/tasks.py#L991 - - Return a concurrent.futures.Future to access the result. - """ - if not coroutines.iscoroutine(coro_or_future) and not futures.isfuture( - coro_or_future - ): - raise TypeError("A coroutine object or future is required") - - if futures.isfuture(coro_or_future): - assert loop == coro_or_future.get_loop() - - future = concurrent.futures.Future() - - def callback(): - try: - futures._chain_future(ensure_future(coro_or_future, loop=loop), future) - except (SystemExit, KeyboardInterrupt): - raise - except BaseException as exc: - if future.set_running_or_notify_cancel(): - future.set_exception(exc) - raise - - loop.call_soon_threadsafe(callback) - return future - - class Semaphore: """Based on asyncio.Semaphore. diff --git a/python/ray/serve/tests/unit/test_run_coroutine_threadsafe.py b/python/ray/serve/tests/unit/test_run_coroutine_threadsafe.py deleted file mode 100644 index ffc8a0fe7c01..000000000000 --- a/python/ray/serve/tests/unit/test_run_coroutine_threadsafe.py +++ /dev/null @@ -1,78 +0,0 @@ -import asyncio -import concurrent.futures -import sys -import threading - -import pytest - -from ray._common.test_utils import wait_for_condition -from ray.serve._private.utils import run_coroutine_or_future_threadsafe - - -@pytest.fixture -def separate_loop(): - loop = asyncio.new_event_loop() - thread = threading.Thread(target=loop.run_forever) - thread.start() - yield loop - loop.call_soon_threadsafe(loop.stop) - thread.join() - loop.close() - - -@pytest.mark.asyncio -async def test_run_coroutine_threadsafe_with_basic_coroutine(separate_loop): - async def sample_coro(): - await asyncio.sleep(0.01) - return "ok" - - future = run_coroutine_or_future_threadsafe(sample_coro(), separate_loop) - result = future.result(timeout=1) - - assert isinstance(future, concurrent.futures.Future) - assert result == "ok" - - -@pytest.mark.asyncio -async def test_run_coroutine_threadsafe_with_future(separate_loop): - async_future = asyncio.Future(loop=separate_loop) - async_future.set_result("ok2") - future = run_coroutine_or_future_threadsafe(async_future, separate_loop) - result = future.result(timeout=1) - assert result == "ok2" - - -@pytest.mark.asyncio -async def test_run_coroutine_threadsafe_with_task(separate_loop): - async def sample_coro(): - await asyncio.sleep(0.01) - return "ok" - - async_future = separate_loop.create_task(sample_coro()) - future = run_coroutine_or_future_threadsafe(async_future, separate_loop) - result = future.result(timeout=1) - assert result == "ok" - - -@pytest.mark.asyncio -async def test_run_coroutine_threadsafe_cancellation(separate_loop): - async def cancelled_coro(): - await asyncio.sleep(5) - - async_future = separate_loop.create_task(cancelled_coro()) - future = run_coroutine_or_future_threadsafe(async_future, separate_loop) - future.cancel() - assert future.cancelled() - wait_for_condition(lambda: async_future.cancelled()) - - -@pytest.mark.asyncio -async def test_run_coroutine_threadsafe_with_future_from_other_loop(separate_loop): - future = asyncio.Future(loop=asyncio.get_running_loop()) - future.set_result("ok") - with pytest.raises(AssertionError): - run_coroutine_or_future_threadsafe(future, separate_loop) - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", "-s", __file__])) From dcf703c0b4eed16c13a6608757bc20282a203c45 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 2 Sep 2025 15:20:06 -0700 Subject: [PATCH 0989/1566] [core] Revert granted check change from #55806 (#56155) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/raylet/worker.h | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index c88c4b83402e..115ff53ce11d 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -244,10 +244,10 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { - return !IsDead() // Not dead - && GetGrantedLeaseId().IsNil() // No assigned lease - && !IsBlocked() // Not blocked - && GetActorId().IsNil(); // No assigned actor + return !IsDead() // Not dead + && !GetGrantedLeaseId().IsNil() // Has assigned lease + && !IsBlocked() // Not blocked + && GetActorId().IsNil(); // No assigned actor } rpc::CoreWorkerClientInterface *rpc_client() { From 7f76d7c8ddfee273dbcf0046fedbc0e3e24b8d29 Mon Sep 17 00:00:00 2001 From: ahao-anyscale Date: Tue, 2 Sep 2025 15:33:10 -0700 Subject: [PATCH 0990/1566] [Serve.llm][PD] changed LMCache dependency to use 0.3.3 to avoid regressions in the release test (#56104) Signed-off-by: Douglas Strodtman --- release/ray_release/byod/byod_llm_lmcache_test.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/ray_release/byod/byod_llm_lmcache_test.sh b/release/ray_release/byod/byod_llm_lmcache_test.sh index f3a1a7d77497..413a7409f17a 100755 --- a/release/ray_release/byod/byod_llm_lmcache_test.sh +++ b/release/ray_release/byod/byod_llm_lmcache_test.sh @@ -4,4 +4,4 @@ set -exo pipefail -pip3 install "lmcache>=0.3.2" +pip3 install "lmcache==0.3.3" From 8c906fac5e34992936424e0e93a532d6a02ee889 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 2 Sep 2025 15:35:23 -0700 Subject: [PATCH 0991/1566] [core] Fix test_kill_raylet_signal_log on mac (#56151) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../ray/tests/test_kill_raylet_signal_log.py | 21 +++++++------------ 1 file changed, 7 insertions(+), 14 deletions(-) diff --git a/python/ray/tests/test_kill_raylet_signal_log.py b/python/ray/tests/test_kill_raylet_signal_log.py index 651caa5bb44a..abc01680cea8 100644 --- a/python/ray/tests/test_kill_raylet_signal_log.py +++ b/python/ray/tests/test_kill_raylet_signal_log.py @@ -6,7 +6,6 @@ import ray from ray._common.test_utils import wait_for_condition -# Import psutil after ray so the packaged version is used. import psutil @@ -15,31 +14,25 @@ def get_pid(name): for pid in pids: if name in pid.name(): return pid.pid - return -1 -def check_result(filename, num_signal, check_key): - ray.init(num_cpus=1) +@pytest.mark.skipif(sys.platform == "win32", reason="Not support on Windows.") +def test_kill_raylet_signal_log(ray_start_regular): session_dir = ray._private.worker._global_node.get_session_dir_path() - raylet_out_path = filename.format(session_dir) + raylet_out_path = "{}/logs/raylet.err".format(session_dir) pid = get_pid("raylet") assert pid > 0 p = psutil.Process(pid) - p.send_signal(num_signal) + p.send_signal(signal.SIGABRT) p.wait(timeout=15) - def check_file(): + def check_for_sigabrt_in_log(): with open(raylet_out_path) as f: s = f.read() - return check_key in s - - wait_for_condition(check_file) + return "SIGABRT" in s - -@pytest.mark.skipif(sys.platform == "win32", reason="Not support on Windows.") -def test_kill_raylet_signal_log(shutdown_only): - check_result("{}/logs/raylet.err", signal.SIGABRT, "SIGABRT") + wait_for_condition(check_for_sigabrt_in_log) if __name__ == "__main__": From 2981dc0f2a7c025a53c6f705a34942692a0abe47 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 2 Sep 2025 17:52:20 -0500 Subject: [PATCH 0992/1566] [core] Move `gcs_pb_utils` to common (#56160) Used across GCS, Raylet, worker, so should be in `common/`. Also moved implementations to `.cc` file (aside from two single-line functions). --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 17 ++ .../pb_util.h => common/protobuf_utils.cc} | 167 +++++----------- src/ray/common/protobuf_utils.h | 178 ++++++++++++++++++ src/ray/core_worker/BUILD.bazel | 11 +- src/ray/core_worker/actor_manager.cc | 2 +- src/ray/core_worker/core_worker.cc | 3 +- src/ray/core_worker/core_worker_process.cc | 2 +- src/ray/core_worker/lib/java/BUILD.bazel | 1 + .../java/io_ray_runtime_RayNativeRuntime.cc | 1 + src/ray/core_worker/task_event_buffer.h | 2 +- .../task_execution/tests/BUILD.bazel | 1 + .../tests/task_receiver_test.cc | 1 + src/ray/core_worker/task_manager.cc | 2 +- .../core_worker/task_submission/BUILD.bazel | 10 +- .../task_submission/actor_task_submitter.cc | 3 +- .../task_submission/normal_task_submitter.cc | 3 +- src/ray/gcs/BUILD.bazel | 16 -- src/ray/gcs/gcs_client/BUILD.bazel | 2 +- src/ray/gcs/gcs_client/tests/BUILD.bazel | 1 + .../gcs/gcs_client/tests/gcs_client_test.cc | 1 + src/ray/gcs/gcs_server/BUILD.bazel | 10 +- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 2 +- .../gcs_autoscaler_state_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_job_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 2 +- .../gcs_server/gcs_placement_group_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_task_manager.h | 2 +- src/ray/gcs/gcs_server/tests/BUILD.bazel | 3 +- .../gcs_autoscaler_state_manager_test.cc | 2 +- .../gcs_server/tests/gcs_task_manager_test.cc | 2 +- src/ray/gcs/pb_utils.cc | 48 ----- src/ray/raylet/BUILD.bazel | 2 +- src/ray/raylet/node_manager.cc | 2 +- src/ray/raylet/worker_pool.cc | 2 +- 34 files changed, 295 insertions(+), 212 deletions(-) rename src/ray/{gcs/pb_util.h => common/protobuf_utils.cc} (72%) create mode 100644 src/ray/common/protobuf_utils.h delete mode 100644 src/ray/gcs/BUILD.bazel delete mode 100644 src/ray/gcs/pb_utils.cc diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 9abdd7832b6a..63c10cc49e43 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -339,6 +339,23 @@ ray_cc_library( hdrs = ["source_location.h"], ) +ray_cc_library( + name = "protobuf_utils", + srcs = ["protobuf_utils.cc"], + hdrs = ["protobuf_utils.h"], + deps = [ + ":constants", + ":id", + ":ray_config", + ":task_common", + "//src/ray/protobuf:autoscaler_cc_proto", + "//src/ray/protobuf:export_task_event_cc_proto", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/util:time", + "@com_google_absl//absl/time", + ], +) + ray_cc_library( name = "gcs_callbacks", hdrs = ["gcs_callbacks.h"], diff --git a/src/ray/gcs/pb_util.h b/src/ray/common/protobuf_utils.cc similarity index 72% rename from src/ray/gcs/pb_util.h rename to src/ray/common/protobuf_utils.cc index f934ea51309d..29a57343a44c 100644 --- a/src/ray/gcs/pb_util.h +++ b/src/ray/common/protobuf_utils.cc @@ -1,4 +1,4 @@ -// Copyright 2017 The Ray Authors. +// Copyright 2025 The Ray Authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -12,47 +12,26 @@ // See the License for the specific language governing permissions and // limitations under the License. -#pragma once +#include "ray/common/protobuf_utils.h" #include #include +#include #include -#include "absl/time/time.h" -#include "ray/common/constants.h" -#include "ray/common/id.h" #include "ray/common/ray_config.h" -#include "ray/common/task/task_spec.h" #include "ray/util/time.h" -#include "src/ray/protobuf/autoscaler.pb.h" -#include "src/ray/protobuf/export_task_event.pb.h" -#include "src/ray/protobuf/gcs.pb.h" namespace ray { - namespace gcs { -using ContextCase = rpc::ActorDeathCause::ContextCase; -// Forward declaration. -std::string GenErrorMessageFromDeathCause(const rpc::ActorDeathCause &death_cause); - -/// Helper function to produce job table data (for newly created job or updated job). -/// -/// \param job_id The ID of job that needs to be registered or updated. -/// \param is_dead Whether the driver of this job is dead. -/// \param timestamp The UNIX timestamp corresponding to this event. -/// \param driver_address Address of the driver that started this job. -/// \param driver_pid Process ID of the driver running this job. -/// \param entrypoint The entrypoint name of the job. -/// \param job_config The config of this job. -/// \return The job table data created by this method. -inline std::shared_ptr CreateJobTableData( +std::shared_ptr CreateJobTableData( const ray::JobID &job_id, bool is_dead, const ray::rpc::Address &driver_address, int64_t driver_pid, const std::string &entrypoint, - const ray::rpc::JobConfig &job_config = {}) { + const ray::rpc::JobConfig &job_config) { auto job_info_ptr = std::make_shared(); job_info_ptr->set_job_id(job_id.Binary()); job_info_ptr->set_is_dead(is_dead); @@ -64,14 +43,29 @@ inline std::shared_ptr CreateJobTableData( return job_info_ptr; } -/// Helper function to produce error table data. rpc::ErrorTableData CreateErrorTableData(const std::string &error_type, const std::string &error_msg, absl::Time timestamp, - const JobID &job_id = JobID::Nil()); + const JobID &job_id) { + uint32_t max_error_msg_size_bytes = RayConfig::instance().max_error_msg_size_bytes(); + rpc::ErrorTableData error_info; + error_info.set_type(error_type); + if (error_msg.length() > max_error_msg_size_bytes) { + std::string formatted_error_message = absl::StrFormat( + "The message size exceeds %d bytes. Find the full log from the log files. Here " + "is abstract: %s", + max_error_msg_size_bytes, + std::string_view{error_msg}.substr(0, max_error_msg_size_bytes)); + error_info.set_error_message(std::move(formatted_error_message)); + } else { + error_info.set_error_message(error_msg); + } + error_info.set_timestamp(absl::ToUnixMillis(timestamp)); + error_info.set_job_id(job_id.Binary()); + return error_info; +} -/// Helper function to produce worker failure data. -inline std::shared_ptr CreateWorkerFailureData( +std::shared_ptr CreateWorkerFailureData( const WorkerID &worker_id, const NodeID &node_id, const std::string &ip_address, @@ -79,7 +73,7 @@ inline std::shared_ptr CreateWorkerFailureData( rpc::WorkerExitType disconnect_type, const std::string &disconnect_detail, int pid, - const rpc::RayException *creation_task_exception = nullptr) { + const rpc::RayException *creation_task_exception) { auto worker_failure_info_ptr = std::make_shared(); // Only report the worker id + delta (new data upon worker failures). // GCS will merge the data with original worker data. @@ -98,9 +92,7 @@ inline std::shared_ptr CreateWorkerFailureData( return worker_failure_info_ptr; } -/// Get actor creation task exception from ActorDeathCause. -/// Returns nullptr if actor isn't dead due to creation task failure. -inline const rpc::RayException *GetCreationTaskExceptionFromDeathCause( +const rpc::RayException *GetCreationTaskExceptionFromDeathCause( const rpc::ActorDeathCause *death_cause) { if (death_cause == nullptr || death_cause->context_case() != ContextCase::kCreationTaskFailureContext) { @@ -109,8 +101,7 @@ inline const rpc::RayException *GetCreationTaskExceptionFromDeathCause( return &(death_cause->creation_task_failure_context()); } -inline const std::string &GetActorDeathCauseString( - const rpc::ActorDeathCause &death_cause) { +const std::string &GetActorDeathCauseString(const rpc::ActorDeathCause &death_cause) { static absl::flat_hash_map death_cause_string{ {ContextCase::CONTEXT_NOT_SET, "CONTEXT_NOT_SET"}, {ContextCase::kRuntimeEnvFailedContext, "RuntimeEnvFailedContext"}, @@ -124,11 +115,7 @@ inline const std::string &GetActorDeathCauseString( return it->second; } -/// Get the error information from the actor death cause. -/// -/// \param[in] death_cause The rpc message that contains the actos death information. -/// \return RayErrorInfo that has propagated death cause. -inline rpc::RayErrorInfo GetErrorInfoFromActorDeathCause( +rpc::RayErrorInfo GetErrorInfoFromActorDeathCause( const rpc::ActorDeathCause &death_cause) { rpc::RayErrorInfo error_info; switch (death_cause.context_case()) { @@ -157,9 +144,7 @@ inline rpc::RayErrorInfo GetErrorInfoFromActorDeathCause( return error_info; } -/// Generate object error type from ActorDeathCause. -inline std::string GenErrorMessageFromDeathCause( - const rpc::ActorDeathCause &death_cause) { +std::string GenErrorMessageFromDeathCause(const rpc::ActorDeathCause &death_cause) { if (death_cause.context_case() == ContextCase::kCreationTaskFailureContext) { return death_cause.creation_task_failure_context().formatted_exception_string(); } else if (death_cause.context_case() == ContextCase::kRuntimeEnvFailedContext) { @@ -176,7 +161,7 @@ inline std::string GenErrorMessageFromDeathCause( } } -inline bool IsActorRestartable(const rpc::ActorTableData &actor) { +bool IsActorRestartable(const rpc::ActorTableData &actor) { RAY_CHECK_EQ(actor.state(), rpc::ActorTableData::DEAD); return actor.death_cause().context_case() == ContextCase::kActorDiedErrorContext && actor.death_cause().actor_died_error_context().reason() == @@ -189,27 +174,21 @@ inline bool IsActorRestartable(const rpc::ActorTableData &actor) { actor.max_restarts())); } -inline std::string RayErrorInfoToString(const ray::rpc::RayErrorInfo &error_info) { +std::string RayErrorInfoToString(const ray::rpc::RayErrorInfo &error_info) { std::stringstream ss; ss << "Error type " << error_info.error_type() << " exception string " << error_info.error_message(); return ss.str(); } -/// Get the parent task id from the task event. -/// -/// \param task_event Task event. -/// \return TaskID::Nil() if parent task id info not available, else the parent task id -/// for the task. -inline TaskID GetParentTaskId(const rpc::TaskEvents &task_event) { +TaskID GetParentTaskId(const rpc::TaskEvents &task_event) { if (task_event.has_task_info()) { return TaskID::FromBinary(task_event.task_info().parent_task_id()); } return TaskID::Nil(); } -inline void FillTaskInfo(rpc::TaskInfoEntry *task_info, - const TaskSpecification &task_spec) { +void FillTaskInfo(rpc::TaskInfoEntry *task_info, const TaskSpecification &task_spec) { rpc::TaskType type; if (task_spec.IsNormalTask()) { type = rpc::TaskType::NORMAL_TASK; @@ -256,9 +235,8 @@ inline void FillTaskInfo(rpc::TaskInfoEntry *task_info, } } -// Fill task_info for the export API with task specification from task_spec -inline void FillExportTaskInfo(rpc::ExportTaskEventData::TaskInfoEntry *task_info, - const TaskSpecification &task_spec) { +void FillExportTaskInfo(rpc::ExportTaskEventData::TaskInfoEntry *task_info, + const TaskSpecification &task_spec) { rpc::TaskType type; if (task_spec.IsNormalTask()) { type = rpc::TaskType::NORMAL_TASK; @@ -316,31 +294,22 @@ inline void FillExportTaskInfo(rpc::ExportTaskEventData::TaskInfoEntry *task_inf } } -/// Generate a RayErrorInfo from ErrorType -inline rpc::RayErrorInfo GetRayErrorInfo(const rpc::ErrorType &error_type, - const std::string &error_msg = "") { +rpc::RayErrorInfo GetRayErrorInfo(const rpc::ErrorType &error_type, + const std::string &error_msg) { rpc::RayErrorInfo error_info; error_info.set_error_type(error_type); error_info.set_error_message(error_msg); return error_info; } -/// Get the worker id from the task event. -/// -/// \param task_event Task event. -/// \return WorkerID::Nil() if worker id info not available, else the worker id. -inline WorkerID GetWorkerID(const rpc::TaskEvents &task_event) { +WorkerID GetWorkerID(const rpc::TaskEvents &task_event) { if (task_event.has_state_updates() && task_event.state_updates().has_worker_id()) { return WorkerID::FromBinary(task_event.state_updates().worker_id()); } return WorkerID::Nil(); } -/// Return if the task has already terminated (finished or failed) -/// -/// \param task_event Task event. -/// \return True if the task has already terminated, false otherwise. -inline bool IsTaskTerminated(const rpc::TaskEvents &task_event) { +bool IsTaskTerminated(const rpc::TaskEvents &task_event) { if (!task_event.has_state_updates()) { return false; } @@ -350,19 +319,19 @@ inline bool IsTaskTerminated(const rpc::TaskEvents &task_event) { state_updates.state_ts_ns().contains(rpc::TaskStatus::FAILED); } -inline size_t NumProfileEvents(const rpc::TaskEvents &task_event) { +size_t NumProfileEvents(const rpc::TaskEvents &task_event) { if (!task_event.has_profile_events()) { return 0; } return static_cast(task_event.profile_events().events_size()); } -inline TaskAttempt GetTaskAttempt(const rpc::TaskEvents &task_event) { +TaskAttempt GetTaskAttempt(const rpc::TaskEvents &task_event) { return std::make_pair(TaskID::FromBinary(task_event.task_id()), task_event.attempt_number()); } -inline bool IsActorTask(const rpc::TaskEvents &task_event) { +bool IsActorTask(const rpc::TaskEvents &task_event) { if (!task_event.has_task_info()) { return false; } @@ -372,7 +341,7 @@ inline bool IsActorTask(const rpc::TaskEvents &task_event) { task_info.type() == rpc::TaskType::ACTOR_CREATION_TASK; } -inline bool IsTaskFinished(const rpc::TaskEvents &task_event) { +bool IsTaskFinished(const rpc::TaskEvents &task_event) { if (!task_event.has_state_updates()) { return false; } @@ -381,14 +350,9 @@ inline bool IsTaskFinished(const rpc::TaskEvents &task_event) { return state_updates.state_ts_ns().contains(rpc::TaskStatus::FINISHED); } -/// Fill the rpc::TaskStateUpdate with the timestamps according to the status change. -/// -/// \param task_status The task status. -/// \param timestamp The timestamp. -/// \param[out] state_updates The state updates with timestamp to be updated. -inline void FillTaskStatusUpdateTime(const ray::rpc::TaskStatus &task_status, - int64_t timestamp, - ray::rpc::TaskStateUpdate *state_updates) { +void FillTaskStatusUpdateTime(const ray::rpc::TaskStatus &task_status, + int64_t timestamp, + ray::rpc::TaskStateUpdate *state_updates) { if (task_status == rpc::TaskStatus::NIL) { // Not status change. return; @@ -396,13 +360,7 @@ inline void FillTaskStatusUpdateTime(const ray::rpc::TaskStatus &task_status, (*state_updates->mutable_state_ts_ns())[task_status] = timestamp; } -/// Fill the rpc::ExportTaskEventData::TaskStateUpdate with the timestamps -/// according to the status change. -/// -/// \param task_status The task status. -/// \param timestamp The timestamp. -/// \param[out] state_updates The state updates with timestamp to be updated. -inline void FillExportTaskStatusUpdateTime( +void FillExportTaskStatusUpdateTime( const ray::rpc::TaskStatus &task_status, int64_t timestamp, rpc::ExportTaskEventData::TaskStateUpdate *state_updates) { @@ -413,9 +371,8 @@ inline void FillExportTaskStatusUpdateTime( (*state_updates->mutable_state_ts_ns())[task_status] = timestamp; } -/// Convert rpc::TaskLogInfo to rpc::ExportTaskEventData::TaskLogInfo -inline void TaskLogInfoToExport(const rpc::TaskLogInfo &src, - rpc::ExportTaskEventData::TaskLogInfo *dest) { +void TaskLogInfoToExport(const rpc::TaskLogInfo &src, + rpc::ExportTaskEventData::TaskLogInfo *dest) { dest->set_stdout_file(src.stdout_file()); dest->set_stderr_file(src.stderr_file()); dest->set_stdout_start(src.stdout_start()); @@ -424,30 +381,7 @@ inline void TaskLogInfoToExport(const rpc::TaskLogInfo &src, dest->set_stderr_end(src.stderr_end()); } -inline std::string FormatPlacementGroupLabelName(const std::string &pg_id) { - return kPlacementGroupConstraintKeyPrefix + pg_id; -} - -/// \brief Format placement group details. -/// Format: -/// :: -/// -/// \param pg_data -/// \return -inline std::string FormatPlacementGroupDetails( - const rpc::PlacementGroupTableData &pg_data) { - return PlacementGroupID::FromBinary(pg_data.placement_group_id()).Hex() + ":" + - rpc::PlacementStrategy_Name(pg_data.strategy()) + "|" + - rpc::PlacementGroupTableData::PlacementGroupState_Name(pg_data.state()); -} - -/// Generate a placement constraint for placement group. -/// -/// \param pg_id The ID of placement group. -/// \param strategy The placement strategy of placement group. -/// \return The placement constraint for placement group if it's not a strict -/// strategy, else absl::nullopt. -inline std::optional +std::optional GenPlacementConstraintForPlacementGroup(const std::string &pg_id, rpc::PlacementStrategy strategy) { rpc::autoscaler::PlacementConstraint pg_constraint; @@ -480,5 +414,4 @@ GenPlacementConstraintForPlacementGroup(const std::string &pg_id, } } // namespace gcs - } // namespace ray diff --git a/src/ray/common/protobuf_utils.h b/src/ray/common/protobuf_utils.h new file mode 100644 index 000000000000..2017107c3db8 --- /dev/null +++ b/src/ray/common/protobuf_utils.h @@ -0,0 +1,178 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "absl/time/time.h" +#include "ray/common/id.h" +#include "ray/common/task/task_spec.h" +#include "src/ray/protobuf/autoscaler.pb.h" +#include "src/ray/protobuf/export_task_event.pb.h" +#include "src/ray/protobuf/gcs.pb.h" + +namespace ray { +namespace gcs { + +using ContextCase = rpc::ActorDeathCause::ContextCase; + +/// Helper function to produce job table data (for newly created job or updated job). +/// +/// \param job_id The ID of job that needs to be registered or updated. +/// \param is_dead Whether the driver of this job is dead. +/// \param timestamp The UNIX timestamp corresponding to this event. +/// \param driver_address Address of the driver that started this job. +/// \param driver_pid Process ID of the driver running this job. +/// \param entrypoint The entrypoint name of the job. +/// \param job_config The config of this job. +/// \return The job table data created by this method. +std::shared_ptr CreateJobTableData( + const ray::JobID &job_id, + bool is_dead, + const ray::rpc::Address &driver_address, + int64_t driver_pid, + const std::string &entrypoint, + const ray::rpc::JobConfig &job_config = {}); + +/// Helper function to produce error table data. +rpc::ErrorTableData CreateErrorTableData(const std::string &error_type, + const std::string &error_msg, + absl::Time timestamp, + const JobID &job_id = JobID::Nil()); + +/// Helper function to produce worker failure data. +std::shared_ptr CreateWorkerFailureData( + const WorkerID &worker_id, + const NodeID &node_id, + const std::string &ip_address, + int64_t timestamp, + rpc::WorkerExitType disconnect_type, + const std::string &disconnect_detail, + int pid, + const rpc::RayException *creation_task_exception = nullptr); + +/// Get actor creation task exception from ActorDeathCause. +/// Returns nullptr if actor isn't dead due to creation task failure. +const rpc::RayException *GetCreationTaskExceptionFromDeathCause( + const rpc::ActorDeathCause *death_cause); + +const std::string &GetActorDeathCauseString(const rpc::ActorDeathCause &death_cause); + +/// Get the error information from the actor death cause. +/// +/// \param[in] death_cause The rpc message that contains the actos death information. +/// \return RayErrorInfo that has propagated death cause. +rpc::RayErrorInfo GetErrorInfoFromActorDeathCause( + const rpc::ActorDeathCause &death_cause); + +/// Generate object error type from ActorDeathCause. +std::string GenErrorMessageFromDeathCause(const rpc::ActorDeathCause &death_cause); + +bool IsActorRestartable(const rpc::ActorTableData &actor); + +std::string RayErrorInfoToString(const ray::rpc::RayErrorInfo &error_info); + +/// Get the parent task id from the task event. +/// +/// \param task_event Task event. +/// \return TaskID::Nil() if parent task id info not available, else the parent task id +/// for the task. +TaskID GetParentTaskId(const rpc::TaskEvents &task_event); + +void FillTaskInfo(rpc::TaskInfoEntry *task_info, const TaskSpecification &task_spec); + +// Fill task_info for the export API with task specification from task_spec +void FillExportTaskInfo(rpc::ExportTaskEventData::TaskInfoEntry *task_info, + const TaskSpecification &task_spec); + +/// Generate a RayErrorInfo from ErrorType +rpc::RayErrorInfo GetRayErrorInfo(const rpc::ErrorType &error_type, + const std::string &error_msg = ""); + +/// Get the worker id from the task event. +/// +/// \param task_event Task event. +/// \return WorkerID::Nil() if worker id info not available, else the worker id. +WorkerID GetWorkerID(const rpc::TaskEvents &task_event); + +/// Return if the task has already terminated (finished or failed) +/// +/// \param task_event Task event. +/// \return True if the task has already terminated, false otherwise. +bool IsTaskTerminated(const rpc::TaskEvents &task_event); + +size_t NumProfileEvents(const rpc::TaskEvents &task_event); + +TaskAttempt GetTaskAttempt(const rpc::TaskEvents &task_event); + +bool IsActorTask(const rpc::TaskEvents &task_event); + +bool IsTaskFinished(const rpc::TaskEvents &task_event); + +/// Fill the rpc::TaskStateUpdate with the timestamps according to the status change. +/// +/// \param task_status The task status. +/// \param timestamp The timestamp. +/// \param[out] state_updates The state updates with timestamp to be updated. +void FillTaskStatusUpdateTime(const ray::rpc::TaskStatus &task_status, + int64_t timestamp, + ray::rpc::TaskStateUpdate *state_updates); + +/// Fill the rpc::ExportTaskEventData::TaskStateUpdate with the timestamps +/// according to the status change. +/// +/// \param task_status The task status. +/// \param timestamp The timestamp. +/// \param[out] state_updates The state updates with timestamp to be updated. +void FillExportTaskStatusUpdateTime( + const ray::rpc::TaskStatus &task_status, + int64_t timestamp, + rpc::ExportTaskEventData::TaskStateUpdate *state_updates); + +/// Convert rpc::TaskLogInfo to rpc::ExportTaskEventData::TaskLogInfo +void TaskLogInfoToExport(const rpc::TaskLogInfo &src, + rpc::ExportTaskEventData::TaskLogInfo *dest); + +inline std::string FormatPlacementGroupLabelName(const std::string &pg_id) { + return kPlacementGroupConstraintKeyPrefix + pg_id; +} + +/// \brief Format placement group details. +/// Format: +/// :: +/// +/// \param pg_data +/// \return +inline std::string FormatPlacementGroupDetails( + const rpc::PlacementGroupTableData &pg_data) { + return PlacementGroupID::FromBinary(pg_data.placement_group_id()).Hex() + ":" + + rpc::PlacementStrategy_Name(pg_data.strategy()) + "|" + + rpc::PlacementGroupTableData::PlacementGroupState_Name(pg_data.state()); +} + +/// Generate a placement constraint for placement group. +/// +/// \param pg_id The ID of placement group. +/// \param strategy The placement strategy of placement group. +/// \return The placement constraint for placement group if it's not a strict +/// strategy, else absl::nullopt. +std::optional +GenPlacementConstraintForPlacementGroup(const std::string &pg_id, + rpc::PlacementStrategy strategy); + +} // namespace gcs +} // namespace ray diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 67a2cb237046..3e10d3417158 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -13,6 +13,9 @@ ray_cc_library( "core_worker_rpc_proxy.h", "core_worker_shutdown_executor.h", ], + implementation_deps = [ + "//src/ray/util:time", + ], deps = [ ":actor_handle", ":actor_manager", @@ -30,12 +33,12 @@ ray_cc_library( ":reference_count", ":shutdown_coordinator", ":task_event_buffer", + "//src/ray/common:protobuf_utils", "//src/ray/common/cgroup:cgroup_context", "//src/ray/common/cgroup:cgroup_manager", "//src/ray/common/cgroup:constants", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:raylet_ipc_client", "//src/ray/protobuf:pubsub_cc_proto", @@ -154,9 +157,9 @@ ray_cc_library( ":core_worker_context", ":reference_count", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", "//src/ray/core_worker/task_submission:actor_task_submitter", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:core_worker_cc_proto", "@com_google_absl//absl/container:flat_hash_map", @@ -205,8 +208,8 @@ ray_cc_library( deps = [ "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:export_task_event_cc_proto", "//src/ray/protobuf:gcs_cc_proto", @@ -262,7 +265,7 @@ ray_cc_library( ":task_manager_interface", "//src/ray/common:buffer", "//src/ray/common:id", - "//src/ray/gcs:gcs_pb_util", + "//src/ray/common:protobuf_utils", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/stats:stats_metric", diff --git a/src/ray/core_worker/actor_manager.cc b/src/ray/core_worker/actor_manager.cc index 418539515a25..767525be2937 100644 --- a/src/ray/core_worker/actor_manager.cc +++ b/src/ray/core_worker/actor_manager.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 4b73866600b0..a45b65dbe3fe 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -38,15 +38,16 @@ #include "ray/common/cgroup/cgroup_context.h" #include "ray/common/cgroup/cgroup_manager.h" #include "ray/common/cgroup/constants.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/task/task_util.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/gcs/pb_util.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/container_util.h" #include "ray/util/event.h" #include "ray/util/subreaper.h" +#include "ray/util/time.h" using json = nlohmann::json; using MessageType = ray::protocol::MessageType; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 1d8fed4ed879..844df982b32a 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -27,13 +27,13 @@ #include "ray/common/cgroup/cgroup_context.h" #include "ray/common/cgroup/cgroup_manager.h" #include "ray/common/cgroup/constants.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/task/task_util.h" #include "ray/core_worker/core_worker.h" #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/gcs/pb_util.h" #include "ray/ipc/raylet_ipc_client.h" #include "ray/raylet_client/raylet_client.h" #include "ray/stats/stats.h" diff --git a/src/ray/core_worker/lib/java/BUILD.bazel b/src/ray/core_worker/lib/java/BUILD.bazel index bce303e200b8..4e35f82a0490 100644 --- a/src/ray/core_worker/lib/java/BUILD.bazel +++ b/src/ray/core_worker/lib/java/BUILD.bazel @@ -26,6 +26,7 @@ ray_cc_binary( "//src/ray/core_worker:core_worker_lib", "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/stats:stats_lib", + "//src/ray/util:time", "@bazel_tools//tools/jdk:jni", ], ) diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc index 7584536ead71..1b8b72cbb8e6 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_RayNativeRuntime.cc @@ -28,6 +28,7 @@ #include "ray/common/ray_config.h" #include "ray/core_worker/actor_handle.h" #include "ray/core_worker/core_worker.h" +#include "ray/util/time.h" thread_local JNIEnv *local_env = nullptr; jobject java_task_executor = nullptr; diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index eaf6511b3b33..1f3d11283612 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -26,9 +26,9 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/gcs/pb_util.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/task_execution/tests/BUILD.bazel b/src/ray/core_worker/task_execution/tests/BUILD.bazel index b60f96696bd1..0f7c8e4a5cc2 100644 --- a/src/ray/core_worker/task_execution/tests/BUILD.bazel +++ b/src/ray/core_worker/task_execution/tests/BUILD.bazel @@ -61,6 +61,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/rpc:core_worker_client", + "//src/ray/util:time", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc index cae330fec4e0..94b143bc9cb4 100644 --- a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc @@ -23,6 +23,7 @@ #include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" #include "ray/rpc/worker/core_worker_client.h" +#include "ray/util/time.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 8a912f74c585..c058ec121bbd 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -23,8 +23,8 @@ #include "absl/strings/match.h" #include "ray/common/buffer.h" +#include "ray/common/protobuf_utils.h" #include "ray/core_worker/actor_manager.h" -#include "ray/gcs/pb_util.h" #include "ray/util/exponential_backoff.h" #include "ray/util/time.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 4e00ea8ae4eb..ce90126245e3 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -57,6 +57,9 @@ ray_cc_library( name = "actor_task_submitter", srcs = ["actor_task_submitter.cc"], hdrs = ["actor_task_submitter.h"], + implementation_deps = [ + "//src/ray/util:time", + ], visibility = [ ":__subpackages__", "//src/ray/core_worker:__pkg__", @@ -68,8 +71,8 @@ ray_cc_library( ":sequential_actor_submit_queue", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", "//src/ray/core_worker:actor_creator", - "//src/ray/gcs:gcs_pb_util", "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", @@ -81,6 +84,9 @@ ray_cc_library( name = "normal_task_submitter", srcs = ["normal_task_submitter.cc"], hdrs = ["normal_task_submitter.h"], + implementation_deps = [ + "//src/ray/util:time", + ], visibility = [ ":__subpackages__", "//src/ray/core_worker:__pkg__", @@ -89,10 +95,10 @@ ray_cc_library( ":dependency_resolver", "//src/ray/common:id", "//src/ray/common:lease", + "//src/ray/common:protobuf_utils", "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager_interface", - "//src/ray/gcs:gcs_pb_util", "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/base:core_headers", diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index e34078b5956d..d0f6063e4865 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -20,7 +20,8 @@ #include #include -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" +#include "ray/util/time.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 36a8d8927595..275760546c88 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -22,7 +22,8 @@ #include #include "ray/common/lease/lease_spec.h" -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" +#include "ray/util/time.h" namespace ray { namespace core { diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel deleted file mode 100644 index fc039b56ae85..000000000000 --- a/src/ray/gcs/BUILD.bazel +++ /dev/null @@ -1,16 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "gcs_pb_util", - srcs = ["pb_utils.cc"], - hdrs = ["pb_util.h"], - deps = [ - "//src/ray/common:constants", - "//src/ray/common:id", - "//src/ray/common:ray_config", - "//src/ray/common:task_common", - "//src/ray/protobuf:autoscaler_cc_proto", - "//src/ray/protobuf:export_task_event_cc_proto", - "//src/ray/util:time", - ], -) diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index 52870712ee48..b4b9ec43ade4 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -13,7 +13,7 @@ ray_cc_library( deps = [ "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs:gcs_pb_util", + "//src/ray/common:protobuf_utils", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:usage_cc_proto", diff --git a/src/ray/gcs/gcs_client/tests/BUILD.bazel b/src/ray/gcs/gcs_client/tests/BUILD.bazel index a7b7511a7544..d94a8b143f23 100644 --- a/src/ray/gcs/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_client/tests/BUILD.bazel @@ -65,6 +65,7 @@ ray_cc_test( "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/util:network_util", "//src/ray/util:raii", + "//src/ray/util:time", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc index bc775916d28d..12fde5c25d50 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs/gcs_client/tests/gcs_client_test.cc @@ -29,6 +29,7 @@ #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" +#include "ray/util/time.h" using namespace std::chrono_literals; // NOLINT diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 846b509d5d29..b3c6248912a9 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -72,8 +72,8 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", @@ -213,9 +213,9 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/gcs:gcs_pb_util", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/stats:stats_metric", @@ -248,8 +248,8 @@ ray_cc_library( ":gcs_init_data", ":gcs_table_storage", ":grpc_service_interfaces", + "//src/ray/common:protobuf_utils", "//src/ray/common:runtime_env", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/rpc:core_worker_client", "//src/ray/stats:stats_metric", @@ -411,9 +411,9 @@ ray_cc_library( "gcs_actor_manager.h", ], implementation_deps = [ + "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", "//src/ray/common:task_common", - "//src/ray/gcs:gcs_pb_util", "//src/ray/stats:stats_lib", "//src/ray/util:logging", "//src/ray/util:time", @@ -449,8 +449,8 @@ ray_cc_library( "gcs_autoscaler_state_manager.h", ], implementation_deps = [ + "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", - "//src/ray/gcs:gcs_pb_util", "//src/ray/util:logging", "//src/ray/util:string_utils", "//src/ray/util:time", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 061fc36fce81..6cd3d33d8ca0 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -22,9 +22,9 @@ #include #include +#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/task/task_spec.h" -#include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index 5ad9d09c719d..f356930f3fc3 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -19,7 +19,7 @@ #include #include -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" #include "ray/util/string_utils.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 16115389726e..2d4e93495b85 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -22,7 +22,7 @@ #include #include "absl/strings/match.h" -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" #include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/stats/metric.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index dbdc5aee78a9..eef85fc4b08b 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -22,7 +22,7 @@ #include #include "absl/container/flat_hash_set.h" -#include "ray/gcs/pb_util.h" +#include "ray/common/protobuf_utils.h" #include "ray/util/logging.h" #include "ray/util/time.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc index 19a7fb93d588..6580f5872327 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc @@ -21,8 +21,8 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" -#include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_server/gcs_task_manager.h index ca1edcc34ed0..2e9b6f3dc877 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_server/gcs_task_manager.h @@ -24,10 +24,10 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" +#include "ray/common/protobuf_utils.h" #include "ray/gcs/gcs_server/gcs_ray_event_converter.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" -#include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 05534230c9db..7d5ecaf74534 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -141,6 +141,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", + "//src/ray/common:protobuf_utils", "//src/ray/common:test_utils", "//src/ray/gcs/gcs_server:gcs_task_manager", "@com_google_googletest//:gtest_main", @@ -335,8 +336,8 @@ ray_cc_test( "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:asio", + "//src/ray/common:protobuf_utils", "//src/ray/common:test_utils", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_server:gcs_autoscaler_state_manager", "//src/ray/gcs/gcs_server:gcs_init_data", "//src/ray/gcs/gcs_server:gcs_resource_manager", diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc index d94285270952..52d244ae3a35 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc @@ -32,11 +32,11 @@ #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" #include "ray/gcs/gcs_server/store_client_kv.h" -#include "ray/gcs/pb_util.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc index bd39ef33c655..b52232537d48 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc @@ -25,9 +25,9 @@ #include "gtest/gtest.h" #include "ray/common/asio/asio_util.h" #include "ray/common/id.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/status.h" #include "ray/common/test_utils.h" -#include "ray/gcs/pb_util.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/pb_utils.cc b/src/ray/gcs/pb_utils.cc deleted file mode 100644 index c75e78a12167..000000000000 --- a/src/ray/gcs/pb_utils.cc +++ /dev/null @@ -1,48 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// TODO(hjiang): Move all functions from `pb_utils.h` to this implementation file. -#include -#include -#include -#include - -#include "absl/strings/str_format.h" -#include "ray/gcs/pb_util.h" - -namespace ray::gcs { - -rpc::ErrorTableData CreateErrorTableData(const std::string &error_type, - const std::string &error_msg, - absl::Time timestamp, - const JobID &job_id) { - uint32_t max_error_msg_size_bytes = RayConfig::instance().max_error_msg_size_bytes(); - rpc::ErrorTableData error_info; - error_info.set_type(error_type); - if (error_msg.length() > max_error_msg_size_bytes) { - std::string formatted_error_message = absl::StrFormat( - "The message size exceeds %d bytes. Find the full log from the log files. Here " - "is abstract: %s", - max_error_msg_size_bytes, - std::string_view{error_msg}.substr(0, max_error_msg_size_bytes)); - error_info.set_error_message(std::move(formatted_error_message)); - } else { - error_info.set_error_message(error_msg); - } - error_info.set_timestamp(absl::ToUnixMillis(timestamp)); - error_info.set_job_id(job_id.Binary()); - return error_info; -} - -} // namespace ray::gcs diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 48d6c5081e86..e4c6ca19b987 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -107,10 +107,10 @@ ray_cc_library( ":worker", "//src/ray/common:constants", "//src/ray/common:lease", + "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", - "//src/ray/gcs:gcs_pb_util", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/ipc:client_connection", "//src/ray/util:network_util", diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 4e55d453d180..1ce39809764a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -36,10 +36,10 @@ #include "ray/common/grpc_util.h" #include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/gcs/pb_util.h" #include "ray/ipc/client_connection.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_killing_policy.h" diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index ce85798dc24f..5f5719d206f1 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -29,10 +29,10 @@ #include "absl/strings/str_split.h" #include "ray/common/constants.h" #include "ray/common/lease/lease_spec.h" +#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/status.h" -#include "ray/gcs/pb_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" From ad04ec6b7b668a7be1dfb3cd4ab05338bcf5d39f Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Tue, 2 Sep 2025 16:08:18 -0700 Subject: [PATCH 0993/1566] [SERVE] E2E Fix: test_standalone_3.py (#55685) ## Why are these changes needed? Current tests are setup only to test the code when `DeploymentMode == EveryNode`. In this case, we have proxies on each node. When the mode is overwritten with `HeadOnly` for any reason whatsoever, the test suite fails. This change enables assertions in both deployment modes. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: omkar Signed-off-by: Omkar Kulkarni Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_proxy.py | 93 ++++++++++++++++++ python/ray/serve/tests/test_standalone_3.py | 102 ++++---------------- 2 files changed, 113 insertions(+), 82 deletions(-) diff --git a/python/ray/serve/tests/test_proxy.py b/python/ray/serve/tests/test_proxy.py index fb7e38c1a743..28337cfbda96 100644 --- a/python/ray/serve/tests/test_proxy.py +++ b/python/ray/serve/tests/test_proxy.py @@ -9,6 +9,7 @@ from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition from ray.actor import ActorHandle +from ray.cluster_utils import Cluster from ray.serve._private.constants import ( DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_NAMESPACE, @@ -19,10 +20,22 @@ request_with_retries, ) from ray.serve.config import gRPCOptions +from ray.serve.context import _get_global_client from ray.serve.generated import serve_pb2 +from ray.serve.schema import ProxyStatus, ServeInstanceDetails +from ray.tests.conftest import call_ray_stop_only # noqa: F401 from ray.util.state import list_actors +@pytest.fixture +def shutdown_ray(): + if ray.is_initialized(): + ray.shutdown() + yield + if ray.is_initialized(): + ray.shutdown() + + class TestTimeoutKeepAliveConfig: """Test setting keep_alive_timeout_s in config and env.""" @@ -225,6 +238,86 @@ def check_replicas_on_worker_nodes(): ping_grpc_healthz(worker_node_channel, test_draining=True) +def test_drain_and_undrain_http_proxy_actors( + monkeypatch, shutdown_ray, call_ray_stop_only # noqa: F811 +): + """Test the state transtion of the proxy actor between + HEALTHY, DRAINING and DRAINED + """ + monkeypatch.setenv("RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", "10") + + cluster = Cluster() + head_node = cluster.add_node(num_cpus=0) + cluster.add_node(num_cpus=1) + cluster.add_node(num_cpus=1) + cluster.wait_for_nodes() + ray.init(address=head_node.address) + serve.start(http_options={"location": "EveryNode"}) + + @serve.deployment + class HelloModel: + def __call__(self): + return "hello" + + serve.run(HelloModel.options(num_replicas=2).bind()) + + # 3 proxies, 1 controller, 2 replicas. + wait_for_condition(lambda: len(list_actors()) == 6) + assert len(ray.nodes()) == 3 + + client = _get_global_client() + serve_details = ServeInstanceDetails( + **ray.get(client._controller.get_serve_instance_details.remote()) + ) + proxy_actor_ids = {proxy.actor_id for _, proxy in serve_details.proxies.items()} + + assert len(proxy_actor_ids) == 3 + + serve.run(HelloModel.options(num_replicas=1).bind()) + # 1 proxy should be draining + + def check_proxy_status(proxy_status_to_count): + serve_details = ServeInstanceDetails( + **ray.get(client._controller.get_serve_instance_details.remote()) + ) + proxy_status_list = [proxy.status for _, proxy in serve_details.proxies.items()] + print("all proxies!!!", [proxy for _, proxy in serve_details.proxies.items()]) + current_status = { + status: proxy_status_list.count(status) for status in proxy_status_list + } + return current_status == proxy_status_to_count, current_status + + wait_for_condition( + condition_predictor=check_proxy_status, + proxy_status_to_count={ProxyStatus.HEALTHY: 2, ProxyStatus.DRAINING: 1}, + ) + + serve.run(HelloModel.options(num_replicas=2).bind()) + # The draining proxy should become healthy. + wait_for_condition( + condition_predictor=check_proxy_status, + proxy_status_to_count={ProxyStatus.HEALTHY: 3}, + ) + serve_details = ServeInstanceDetails( + **ray.get(client._controller.get_serve_instance_details.remote()) + ) + + assert { + proxy.actor_id for _, proxy in serve_details.proxies.items() + } == proxy_actor_ids + + serve.run(HelloModel.options(num_replicas=1).bind()) + # 1 proxy should be draining and eventually be drained. + wait_for_condition( + condition_predictor=check_proxy_status, + timeout=40, + proxy_status_to_count={ProxyStatus.HEALTHY: 2}, + ) + + # Clean up serve. + serve.shutdown() + + def _kill_http_proxies(): http_proxies = ray.get( serve.context._global_client._controller.get_proxies.remote() diff --git a/python/ray/serve/tests/test_standalone_3.py b/python/ray/serve/tests/test_standalone_3.py index cbf5686dc5bc..da3372f8c810 100644 --- a/python/ray/serve/tests/test_standalone_3.py +++ b/python/ray/serve/tests/test_standalone_3.py @@ -22,6 +22,13 @@ from ray.util.state import list_actors +# Some tests are not possible to run if proxy is not available on every node. +# We skip them if proxy is not available. +def is_proxy_on_every_node() -> bool: + client = _get_global_client() + return client._http_config.location == "EveryNode" + + @pytest.fixture def shutdown_ray(): if ray.is_initialized(): @@ -286,8 +293,10 @@ def __call__(self, *args): serve.run(A.bind(), name="app_f") - # 2 proxies, 1 controller, 2 replicas. - wait_for_condition(lambda: len(list_actors()) == 5) + # If proxy is on every node, total actors are 2 proxies, 1 controller, 2 replicas. + # Otherwise, total actors are 1 proxy, 1 controller, 2 replicas. + expected_actors = 5 if is_proxy_on_every_node() else 4 + wait_for_condition(lambda: len(list_actors()) == expected_actors) assert len(ray.nodes()) == 2 # Stop all deployment replicas. @@ -324,82 +333,6 @@ def serve_details_proxy_count(): ray.shutdown() -def test_drain_and_undrain_http_proxy_actors( - monkeypatch, shutdown_ray, call_ray_stop_only # noqa: F811 -): - """Test the state transtion of the proxy actor between - HEALTHY, DRAINING and DRAINED - """ - monkeypatch.setenv("RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", "10") - - cluster = Cluster() - head_node = cluster.add_node(num_cpus=0) - cluster.add_node(num_cpus=1) - cluster.add_node(num_cpus=1) - cluster.wait_for_nodes() - ray.init(address=head_node.address) - serve.start(http_options={"location": "EveryNode"}) - - @serve.deployment - class HelloModel: - def __call__(self): - return "hello" - - serve.run(HelloModel.options(num_replicas=2).bind()) - - # 3 proxies, 1 controller, 2 replicas. - wait_for_condition(lambda: len(list_actors()) == 6) - assert len(ray.nodes()) == 3 - - client = _get_global_client() - serve_details = ServeInstanceDetails( - **ray.get(client._controller.get_serve_instance_details.remote()) - ) - proxy_actor_ids = {proxy.actor_id for _, proxy in serve_details.proxies.items()} - assert len(proxy_actor_ids) == 3 - - serve.run(HelloModel.options(num_replicas=1).bind()) - # 1 proxy should be draining - - def check_proxy_status(proxy_status_to_count): - serve_details = ServeInstanceDetails( - **ray.get(client._controller.get_serve_instance_details.remote()) - ) - proxy_status_list = [proxy.status for _, proxy in serve_details.proxies.items()] - print("all proxies!!!", [proxy for _, proxy in serve_details.proxies.items()]) - current_status = { - status: proxy_status_list.count(status) for status in proxy_status_list - } - return current_status == proxy_status_to_count, current_status - - wait_for_condition( - condition_predictor=check_proxy_status, - proxy_status_to_count={ProxyStatus.HEALTHY: 2, ProxyStatus.DRAINING: 1}, - ) - - serve.run(HelloModel.options(num_replicas=2).bind()) - # The draining proxy should become healthy. - wait_for_condition( - condition_predictor=check_proxy_status, - proxy_status_to_count={ProxyStatus.HEALTHY: 3}, - ) - serve_details = ServeInstanceDetails( - **ray.get(client._controller.get_serve_instance_details.remote()) - ) - {proxy.actor_id for _, proxy in serve_details.proxies.items()} == proxy_actor_ids - - serve.run(HelloModel.options(num_replicas=1).bind()) - # 1 proxy should be draining and eventually be drained. - wait_for_condition( - condition_predictor=check_proxy_status, - timeout=40, - proxy_status_to_count={ProxyStatus.HEALTHY: 2}, - ) - - # Clean up serve. - serve.shutdown() - - @pytest.mark.parametrize("wait_for_controller_shutdown", (True, False)) def test_controller_shutdown_gracefully( shutdown_ray, call_ray_stop_only, wait_for_controller_shutdown # noqa: F811 @@ -426,8 +359,10 @@ def __call__(self): model = HelloModel.bind() serve.run(target=model) - # Ensure total actors of 2 proxies, 1 controller, and 2 replicas - wait_for_condition(lambda: len(list_actors()) == 5) + # If proxy is on every node, total actors are 2 proxies, 1 controller, and 2 replicas + # Otherwise, total actors are 1 proxy, 1 controller, and 2 replicas + expected_actors = 5 if is_proxy_on_every_node() else 4 + wait_for_condition(lambda: len(list_actors()) == expected_actors) assert len(ray.nodes()) == 2 # Call `graceful_shutdown()` on the controller, so it will start shutdown. @@ -485,8 +420,11 @@ def __call__(self): model = HelloModel.bind() serve.run(target=model) - # Ensure total actors of 2 proxies, 1 controller, and 2 replicas - wait_for_condition(lambda: len(list_actors()) == 5) + # Check expected actors based on mode + # If proxy is on every node, total actors are 2 proxies, 1 controller, and 2 replicas + # Otherwise, total actors are 1 proxy, 1 controller, and 2 replicas + expected_actors = 5 if is_proxy_on_every_node() else 4 + wait_for_condition(lambda: len(list_actors()) == expected_actors) assert len(ray.nodes()) == 2 # Ensure client times out if the controller does not shutdown within timeout. From a089d0178025aa1de355cd261eee10b64187d3fe Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 2 Sep 2025 16:29:34 -0700 Subject: [PATCH 0994/1566] [core][proto] add ownership and readme for public proto (#56023) Add ownership and README for how to modify the proto files in the public directory. This is related to a recent work to define proto exposure via directory structure and set expectations for maintainer/users of these proto. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 3 +++ src/ray/protobuf/public/README | 17 +++++++++++++++++ 2 files changed, 20 insertions(+) create mode 100644 src/ray/protobuf/public/README diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 6d12a001d401..38e78b8a4cad 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -29,6 +29,9 @@ /doc/source/cluster/ @ray-project/ray-core @ray-project/ray-docs /doc/source/ray-core/ @ray-project/ray-core @ray-project/ray-docs +# Public protobuf files. +/src/ray/protobuf/public/ @edoakes @jjyao + # ==== Libraries and frameworks ==== # Dependencies diff --git a/src/ray/protobuf/public/README b/src/ray/protobuf/public/README new file mode 100644 index 000000000000..9e8a687b9ce8 --- /dev/null +++ b/src/ray/protobuf/public/README @@ -0,0 +1,17 @@ +All proto files in this directory are part of public APIs. Therefore, please keep the +following guidelines in mind when modifying any of these files: + +Do NOT include private protos in these files. If you need to, either (i) obtain approval +from the core team to make the previously private proto public, or (ii) split the proto +into private and public parts, and move only the public part here. + +Do NOT delete existing fields in any proto messages. If renaming is necessary, add a new +field with the new name, and mark the old field as deprecated. + +For consumers of these proto files (end users): you can rely on field names continuing +to exist, ensuring that applications built on top of these protos do not break +unexpectedly. However, always design applications with the assumption that fields are +always optional, and handle missing or deprecated field contents gracefully. While a +field name may remain, its content could eventually be deprecated and moved to a new +field. This provides a path for us to deprecate emitting logic without breaking your +application. From 71cce530c3286dae8dbbff68b044afbaeee95d27 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Tue, 2 Sep 2025 16:36:40 -0700 Subject: [PATCH 0995/1566] [core][raylet][gcs] Add io_context metrics to gcs and raylet (#55762) The purpose of this change is to add metrics for monitoring the state of gcs and raylet. This change goes about that by repurposing the usage of RayConfig::instance().event_stats_metrics(). This OS environment variable previously enabled metric emission from all services and all instances of classes which wrapped calls to EventStats. This included things like instrumented_io_context which is a fairly prolific class through the code base. So the main thing we do in this change is change the name of RAY_event_stats_metrics to RAY_ emit_main_service_metrics and bring it's usage back up to the main classes of GCS and Raylet, which then pass this config into the main io_contexts used by those services. We then move usage of EventStats to be opt in, defaulting false for all other code paths. As time goes on and as we identify paths we want more monitoring on, we can opt in those code paths, and as we find cases where we don't care to have this kind of monitoring, move them off usage of things like instrumented_io_context or event_stats completely (since we're not really using the overhead for anything particularly useful). This PR also includes some clean up here and there and some metric type changes to make more sense with what they seem to intend to do. Specifically, operation_run_time_ms and operation_queue_time have been updated to be HISTOGRAM instead of GAUGE. The reason for this is that knowing the run time or queue time of the last event isn't quite as useful as knowing the histogram view which would give proper distributions on QoS. GAUGE does make sense for values which are absolute at a certain time (like queue length or CPU utilization). --------- Signed-off-by: zac Signed-off-by: Douglas Strodtman --- python/ray/tests/test_metrics_agent.py | 163 ++++++------------ src/ray/common/asio/asio_util.h | 4 +- .../common/asio/instrumented_io_context.cc | 50 ++++-- src/ray/common/asio/instrumented_io_context.h | 20 ++- src/ray/common/asio/io_service_pool.cc | 2 +- src/ray/common/asio/periodical_runner.cc | 3 +- src/ray/common/event_stats.cc | 43 +++-- src/ray/common/event_stats.h | 28 ++- src/ray/common/file_system_monitor.h | 2 +- src/ray/common/ray_config_def.h | 8 +- src/ray/gcs/gcs_server/gcs_server_main.cc | 8 +- src/ray/raylet/main.cc | 6 +- src/ray/rpc/client_call.h | 4 + src/ray/stats/metric_defs.cc | 21 ++- 14 files changed, 174 insertions(+), 188 deletions(-) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 253386c5ac94..3dadc7015666 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -581,133 +581,68 @@ def test_case_value_correct(): def test_operation_stats(monkeypatch, shutdown_only): # Test operation stats are available when flag is on. operation_metrics = [ - "ray_operation_count", - "ray_operation_run_time_ms", - "ray_operation_queue_time_ms", + "ray_operation_count_total", + "ray_operation_run_time_ms_bucket", + "ray_operation_queue_time_ms_bucket", "ray_operation_active_count", ] - with monkeypatch.context() as m: - m.setenv("RAY_event_stats_metrics", "1") - addr = ray.init() - - signal = SignalActor.remote() - - @ray.remote - class Actor: - def __init__(self, signal): - self.signal = signal - - def get_worker_id(self): - return ray.get_runtime_context().get_worker_id() - - def wait(self): - ray.get(self.signal.wait.remote()) - - actor = Actor.remote(signal) - worker_id = ray.get(actor.get_worker_id.remote()) - obj_ref = actor.wait.remote() - - def verify(): - metrics = raw_metrics(addr) - samples = metrics["ray_operation_count"] - found = False - for sample in samples: - if ( - sample.labels["Method"] == "CoreWorkerService.grpc_client.PushTask" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 1 - if not found: - return False + addr = ray.init() + remote_signal = SignalActor.remote() - samples = metrics["ray_operation_active_count"] - found = False - for sample in samples: - if ( - sample.labels["Method"] == "CoreWorkerService.grpc_client.PushTask" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 1 - if not found: - return False + @ray.remote + class Actor: + def __init__(self, signal): + self.signal = signal - return True + def get_worker_id(self): + return ray.get_runtime_context().get_worker_id() - wait_for_condition(verify, timeout=60) + def wait(self): + ray.get(self.signal.wait.remote()) - ray.get(signal.send.remote()) - ray.get(obj_ref) + actor = Actor.remote(remote_signal) + ray.get(actor.get_worker_id.remote()) + obj_ref = actor.wait.remote() - def verify(): - metrics = raw_metrics(addr) + ray.get(remote_signal.send.remote()) + ray.get(obj_ref) - samples = metrics["ray_operation_count"] - found = False - for sample in samples: - if ( - sample.labels["Method"] == "CoreWorkerService.grpc_client.PushTask" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 1 - if not found: - return False + def verify(): + metrics = raw_metrics(addr) - found = False - for sample in samples: - if ( - sample.labels["Method"] - == "CoreWorkerService.grpc_client.PushTask.OnReplyReceived" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 1 - if not found: - return False + samples = metrics["ray_operation_active_count"] + found = False + for sample in samples: + if ( + sample.labels["Name"] == "gcs_server_main_io_context" + and sample.labels["Component"] == "gcs_server" + ): + found = True + if not found: + return False - samples = metrics["ray_operation_active_count"] - found = False - for sample in samples: - if ( - sample.labels["Method"] == "CoreWorkerService.grpc_client.PushTask" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 0 - if not found: - return False + found = False + for sample in samples: + if ( + sample.labels["Name"] == "raylet_main_io_context" + and sample.labels["Component"] == "raylet" + ): + found = True + if not found: + return False - found = False + metric_names = set(metrics.keys()) + for op_metric in operation_metrics: + assert op_metric in metric_names + samples = metrics[op_metric] + components = set() + print(components) for sample in samples: - if ( - sample.labels["Method"] - == "CoreWorkerService.grpc_client.PushTask.OnReplyReceived" - and sample.labels["Component"] == "core_worker" - and sample.labels["WorkerId"] == worker_id - ): - found = True - assert sample.value == 0 - if not found: - return False - - metric_names = set(metrics.keys()) - for op_metric in operation_metrics: - assert op_metric in metric_names - samples = metrics[op_metric] - components = set() - for sample in samples: - components.add(sample.labels["Component"]) - assert {"raylet", "gcs_server", "core_worker"} == components - return True + components.add(sample.labels["Component"]) + assert {"raylet", "gcs_server"} == components + return True - wait_for_condition(verify, timeout=60) + wait_for_condition(verify, timeout=30) @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") diff --git a/src/ray/common/asio/asio_util.h b/src/ray/common/asio/asio_util.h index 793729fb5d89..f360b058aa8d 100644 --- a/src/ray/common/asio/asio_util.h +++ b/src/ray/common/asio/asio_util.h @@ -60,7 +60,7 @@ class InstrumentedIOContextWithThread { */ explicit InstrumentedIOContextWithThread(const std::string &thread_name, bool enable_lag_probe = false) - : io_service_(enable_lag_probe, /*running_on_single_thread=*/true), + : io_service_(enable_lag_probe, /*running_on_single_thread=*/true, thread_name), work_(io_service_.get_executor()), thread_name_(thread_name) { io_thread_ = std::thread([this] { @@ -90,7 +90,7 @@ class InstrumentedIOContextWithThread { } private: - instrumented_io_context io_service_{/*enable_lag_probe=*/false, + instrumented_io_context io_service_{/*enable_metrics=*/false, /*running_on_single_thread=*/true}; boost::asio::executor_work_guard work_; // to keep io_service_ running diff --git a/src/ray/common/asio/instrumented_io_context.cc b/src/ray/common/asio/instrumented_io_context.cc index 05a398a131db..9147452b6c7f 100644 --- a/src/ray/common/asio/instrumented_io_context.cc +++ b/src/ray/common/asio/instrumented_io_context.cc @@ -26,17 +26,19 @@ namespace { // Post a probe. Records the lag and schedule another probe. // Requires: `interval_ms` > 0. -void LagProbeLoop(instrumented_io_context &io_context, int64_t interval_ms) { +void LagProbeLoop(instrumented_io_context &io_context, + int64_t interval_ms, + const std::optional &context_name) { auto begin = std::chrono::steady_clock::now(); io_context.post( - [&io_context, begin, interval_ms]() { + [&io_context, begin, interval_ms, context_name]() { auto end = std::chrono::steady_clock::now(); auto duration = std::chrono::duration_cast(end - begin); ray::stats::STATS_io_context_event_loop_lag_ms.Record( duration.count(), { - {"Name", GetThreadName()}, + {"Name", context_name.value_or(GetThreadName())}, }); // Schedule the next probe. If `duration` is larger than `interval_ms`, we @@ -44,42 +46,50 @@ void LagProbeLoop(instrumented_io_context &io_context, int64_t interval_ms) { // for `interval_ms - duration`. auto delay = interval_ms - duration.count(); if (delay <= 0) { - LagProbeLoop(io_context, interval_ms); + LagProbeLoop(io_context, interval_ms, context_name); } else { execute_after( io_context, - [&io_context, interval_ms]() { LagProbeLoop(io_context, interval_ms); }, + [&io_context, interval_ms, context_name]() { + LagProbeLoop(io_context, interval_ms, context_name); + }, std::chrono::milliseconds(delay)); } }, "event_loop_lag_probe"); } -void ScheduleLagProbe(instrumented_io_context &io_context) { - if (!RayConfig::instance().enable_metrics_collection()) { - return; - } +void ScheduleLagProbe(instrumented_io_context &io_context, + const std::optional &context_name) { auto interval = RayConfig::instance().io_context_event_loop_lag_collection_interval_ms(); if (interval <= 0) { return; } RAY_LOG(DEBUG) << "Scheduling lag probe for the io_context on thread " - << GetThreadName() << " every " << interval << "ms"; + << context_name.value_or(GetThreadName()) << " every " << interval + << "ms"; // At this time, the `io_context` may not be running yet, so we need to post the // first probe. - io_context.post([&io_context, interval]() { LagProbeLoop(io_context, interval); }, - "event_loop_lag_probe"); + io_context.post( + [&io_context, interval, context_name]() { + LagProbeLoop(io_context, interval, context_name); + }, + "event_loop_lag_probe"); } } // namespace -instrumented_io_context::instrumented_io_context(bool enable_lag_probe, - bool running_on_single_thread) +instrumented_io_context::instrumented_io_context( + const bool emit_metrics, + const bool running_on_single_thread, + const std::optional context_name) : boost::asio::io_context( running_on_single_thread ? 1 : BOOST_ASIO_CONCURRENCY_HINT_DEFAULT), - event_stats_(std::make_shared()) { - if (enable_lag_probe) { - ScheduleLagProbe(*this); + event_stats_(std::make_shared()), + emit_metrics_(emit_metrics), + context_name_(context_name) { + if (emit_metrics) { + ScheduleLagProbe(*this, context_name_); } } @@ -93,7 +103,8 @@ void instrumented_io_context::post(std::function handler, // GuardedHandlerStats synchronizes internal access, we can concurrently write to the // handler stats it->second from multiple threads without acquiring a table-level // readers lock in the callback. - auto stats_handle = event_stats_->RecordStart(std::move(name)); + auto stats_handle = + event_stats_->RecordStart(std::move(name), emit_metrics_, 0, context_name_); handler = [handler = std::move(handler), stats_handle = std::move(stats_handle)]() mutable { EventTracker::RecordExecution(handler, std::move(stats_handle)); @@ -111,7 +122,8 @@ void instrumented_io_context::dispatch(std::function handler, std::strin if (!RayConfig::instance().event_stats()) { return boost::asio::post(*this, std::move(handler)); } - auto stats_handle = event_stats_->RecordStart(std::move(name)); + auto stats_handle = + event_stats_->RecordStart(std::move(name), emit_metrics_, 0, context_name_); // References are only invalidated upon deletion of the corresponding item from the // table, which we won't do until this io_context is deleted. Provided that // GuardedHandlerStats synchronizes internal access, we can concurrently write to the diff --git a/src/ray/common/asio/instrumented_io_context.h b/src/ray/common/asio/instrumented_io_context.h index 120023233a0b..33778bffc80a 100644 --- a/src/ray/common/asio/instrumented_io_context.h +++ b/src/ray/common/asio/instrumented_io_context.h @@ -15,12 +15,9 @@ #pragma once #include -#include #include #include -#include "absl/container/flat_hash_map.h" -#include "absl/synchronization/mutex.h" #include "ray/common/event_stats.h" #include "ray/common/ray_config.h" #include "ray/util/logging.h" @@ -31,11 +28,16 @@ class instrumented_io_context : public boost::asio::io_context { /// Initializes the global stats struct after calling the base contructor. /// TODO(ekl) allow taking an externally defined event tracker. /// - /// \param enable_lag_probe If true, and if related Ray configs are set, schedule a - /// probe to measure the event loop lag. After a probe is done, it schedules another one - /// so a io_context.run() call will never return. - explicit instrumented_io_context(bool enable_lag_probe = false, - bool running_on_single_thread = false); + /// \param emit_metrics enables or disables metric emission on this io_context + /// \param running_on_single_thread hints to the underlying io_context if locking should + /// be enabled or not (that is, if running on multiple threads is true, then concurrency + /// controls will engage) + /// \param context_name optional name assigned to this io_context used for metric + /// emission + explicit instrumented_io_context( + bool emit_metrics = false, + bool running_on_single_thread = false, + std::optional context_name = std::nullopt); /// A proxy post function that collects count, queueing, and execution statistics for /// the given handler. @@ -59,4 +61,6 @@ class instrumented_io_context : public boost::asio::io_context { private: /// The event stats tracker to use to record asio handler stats to. std::shared_ptr event_stats_; + bool emit_metrics_; + std::optional context_name_; }; diff --git a/src/ray/common/asio/io_service_pool.cc b/src/ray/common/asio/io_service_pool.cc index 4603266ed64c..9f3c9f8d2a1e 100644 --- a/src/ray/common/asio/io_service_pool.cc +++ b/src/ray/common/asio/io_service_pool.cc @@ -25,7 +25,7 @@ IOServicePool::~IOServicePool() {} void IOServicePool::Run() { for (size_t i = 0; i < io_service_num_; ++i) { io_services_.emplace_back(std::make_unique( - /*enable_lag_probe=*/false, /*running_on_single_thread=*/true)); + /*enable_metrics=*/false, /*running_on_single_thread=*/true)); instrumented_io_context &io_service = *io_services_[i]; threads_.emplace_back([&io_service] { boost::asio::executor_work_guard work( diff --git a/src/ray/common/asio/periodical_runner.cc b/src/ray/common/asio/periodical_runner.cc index b4f7307c7101..9da73cc39596 100644 --- a/src/ray/common/asio/periodical_runner.cc +++ b/src/ray/common/asio/periodical_runner.cc @@ -106,7 +106,8 @@ void PeriodicalRunner::DoRunFnPeriodicallyInstrumented( // NOTE: We add the timer period to the enqueue time in order only measure the time in // which the handler was elgible to execute on the event loop but was queued by the // event loop. - auto stats_handle = io_service_.stats().RecordStart(name, period.total_nanoseconds()); + auto stats_handle = + io_service_.stats().RecordStart(name, false, period.total_nanoseconds()); timer->async_wait( [weak_self = weak_from_this(), fn = std::move(fn), diff --git a/src/ray/common/event_stats.cc b/src/ray/common/event_stats.cc index 6e4f3a8b1800..b18cfd442374 100644 --- a/src/ray/common/event_stats.cc +++ b/src/ray/common/event_stats.cc @@ -60,26 +60,31 @@ std::string to_human_readable(int64_t duration) { } // namespace std::shared_ptr EventTracker::RecordStart( - std::string name, int64_t expected_queueing_delay_ns) { + std::string name, + bool emit_metrics, + const int64_t expected_queueing_delay_ns, + const std::optional &event_context_name) { auto stats = GetOrCreate(name); - int64_t cum_count = 0; int64_t curr_count = 0; { absl::MutexLock lock(&(stats->mutex)); - cum_count = ++stats->stats.cum_count; + ++stats->stats.cum_count; curr_count = ++stats->stats.curr_count; } - if (RayConfig::instance().event_stats_metrics()) { - ray::stats::STATS_operation_count.Record(cum_count, name); - ray::stats::STATS_operation_active_count.Record(curr_count, name); + if (emit_metrics) { + ray::stats::STATS_operation_count.Record(1, event_context_name.value_or(name)); + ray::stats::STATS_operation_active_count.Record(curr_count, + event_context_name.value_or(name)); } return std::make_shared( std::move(name), absl::GetCurrentTimeNanos() + expected_queueing_delay_ns, std::move(stats), - global_stats_); + global_stats_, + emit_metrics, + event_context_name); } void EventTracker::RecordEnd(std::shared_ptr handle) { @@ -89,11 +94,12 @@ void EventTracker::RecordEnd(std::shared_ptr handle) { const auto execution_time_ns = absl::GetCurrentTimeNanos() - handle->start_time; handle->handler_stats->stats.cum_execution_time += execution_time_ns; - if (RayConfig::instance().event_stats_metrics()) { + if (handle->emit_stats) { // Update event-specific stats. - ray::stats::STATS_operation_run_time_ms.Record(execution_time_ns / 1000000, - handle->event_name); - ray::stats::STATS_operation_active_count.Record(curr_count, handle->event_name); + ray::stats::STATS_operation_run_time_ms.Record( + execution_time_ns / 1000000, handle->context_name.value_or(handle->event_name)); + ray::stats::STATS_operation_active_count.Record( + curr_count, handle->context_name.value_or(handle->event_name)); } handle->end_or_execution_recorded = true; @@ -134,14 +140,15 @@ void EventTracker::RecordExecution(const std::function &fn, stats->stats.running_count--; } - if (RayConfig::instance().event_stats_metrics()) { + if (handle->emit_stats) { // Update event-specific stats. - ray::stats::STATS_operation_run_time_ms.Record(execution_time_ns / 1000000, - handle->event_name); - ray::stats::STATS_operation_active_count.Record(curr_count, handle->event_name); + ray::stats::STATS_operation_run_time_ms.Record( + execution_time_ns / 1000000, handle->context_name.value_or(handle->event_name)); + ray::stats::STATS_operation_active_count.Record( + curr_count, handle->context_name.value_or(handle->event_name)); // Update global stats. - ray::stats::STATS_operation_queue_time_ms.Record(queue_time_ns / 1000000, - handle->event_name); + ray::stats::STATS_operation_queue_time_ms.Record( + queue_time_ns / 1000000, handle->context_name.value_or(handle->event_name)); } { @@ -186,6 +193,7 @@ GlobalStats EventTracker::get_global_stats() const { return to_global_stats_view(global_stats_); } +// Testing only method std::optional EventTracker::get_event_stats( const std::string &event_name) const { absl::ReaderMutexLock lock(&mutex_); @@ -196,6 +204,7 @@ std::optional EventTracker::get_event_stats( return to_event_stats_view(it->second); } +// Logging only method std::vector> EventTracker::get_event_stats() const { // We lock the stats table while copying the table into a vector. absl::ReaderMutexLock lock(&mutex_); diff --git a/src/ray/common/event_stats.h b/src/ray/common/event_stats.h index 1650733e7770..d687d06de141 100644 --- a/src/ray/common/event_stats.h +++ b/src/ray/common/event_stats.h @@ -73,16 +73,23 @@ struct StatsHandle { const std::shared_ptr global_stats; // Whether RecordEnd or RecordExecution is called. std::atomic end_or_execution_recorded; + // Metric emission specific configurations + const bool emit_stats; + const std::optional context_name; StatsHandle(std::string event_name_, - int64_t start_time_, + const int64_t start_time_, std::shared_ptr handler_stats_, - std::shared_ptr global_stats_) + std::shared_ptr global_stats_, + const bool emit_stats_, + const std::optional &context_name_) : event_name(std::move(event_name_)), start_time(start_time_), handler_stats(std::move(handler_stats_)), global_stats(std::move(global_stats_)), - end_or_execution_recorded(false) {} + end_or_execution_recorded(false), + emit_stats(emit_stats_), + context_name(context_name_) {} ~StatsHandle() { if (!end_or_execution_recorded) { @@ -106,12 +113,19 @@ class EventTracker { /// The returned opaque stats handle MUST be given to a subsequent /// RecordExecution() or RecordEnd() call. /// - /// \param name A human-readable name to which collected stats will be associated. - /// \param expected_queueing_delay_ns How much to pad the observed queueing start time, + /// \param name A human-readable name to which collected stats will be associated for + /// logging. \param expected_queueing_delay_ns How much to pad the observed queueing + /// start time, /// in nanoseconds. + /// \param emit_metrics Emit the underlying stat as a service metric + /// \param event_context_name A human-readable name to which collected stats will be + /// associated for metrics. /// \return An opaque stats handle, to be given to RecordExecution() or RecordEnd(). - std::shared_ptr RecordStart(std::string name, - int64_t expected_queueing_delay_ns = 0); + std::shared_ptr RecordStart( + std::string name, + bool emit_metrics = false, + int64_t expected_queueing_delay_ns = 0, + const std::optional &event_context_name = std::nullopt); /// Records stats about the provided function's execution. This is used in conjunction /// with RecordStart() to manually instrument an event loop handler that calls .post(). diff --git a/src/ray/common/file_system_monitor.h b/src/ray/common/file_system_monitor.h index ccba1d5e8696..eae48ae93e3f 100644 --- a/src/ray/common/file_system_monitor.h +++ b/src/ray/common/file_system_monitor.h @@ -67,7 +67,7 @@ class FileSystemMonitor { const std::vector paths_; const double capacity_threshold_; std::atomic over_capacity_; - instrumented_io_context io_context_{/*enable_lag_probe=*/false, + instrumented_io_context io_context_{/*enable_metrics=*/false, /*running_on_single_thread=*/true}; std::thread monitor_thread_; std::shared_ptr runner_; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 85adf608b1cc..6e89e27d4b25 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -24,10 +24,10 @@ RAY_CONFIG(uint64_t, debug_dump_period_milliseconds, 10000) /// Whether to enable Ray event stats collection. RAY_CONFIG(bool, event_stats, true) -/// Whether to enable Ray event stats metrics export. -/// Note that enabling this adds high overhead to -/// Ray metrics agent. -RAY_CONFIG(bool, event_stats_metrics, false) +/// Whether to enable Ray event stats metrics for main services +/// such as gcs and raylet (which today are the sole consumers of +/// this config) +RAY_CONFIG(bool, emit_main_service_metrics, true) /// Whether to enable cluster authentication. RAY_CONFIG(bool, enable_cluster_auth, true) diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 04a277924503..9cf428dbbae7 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -37,7 +37,7 @@ DEFINE_string(stdout_filepath, "", "The filepath to dump gcs server stdout."); DEFINE_string(stderr_filepath, "", "The filepath to dump gcs server stderr."); DEFINE_int32(gcs_server_port, 0, "The port of gcs server."); DEFINE_int32(metrics_agent_port, -1, "The port of metrics agent."); -DEFINE_string(config_list, "", "The config list of raylet."); +DEFINE_string(config_list, "", "The config list of gcs."); DEFINE_string(redis_username, "", "The username of Redis."); DEFINE_string(redis_password, "", "The password of Redis."); DEFINE_bool(retry_redis, false, "Whether to retry to connect to Redis."); @@ -109,8 +109,10 @@ int main(int argc, char *argv[]) { // IO Service for main loop. SetThreadName("gcs_server"); - instrumented_io_context main_service(/*enable_lag_probe=*/true, - /*running_on_single_thread=*/true); + instrumented_io_context main_service( + /*enable_metrics=*/RayConfig::instance().emit_main_service_metrics(), + /*running_on_single_thread=*/true, + "gcs_server_main_io_context"); // Ensure that the IO service keeps running. Without this, the main_service will exit // as soon as there is no more work to be processed. boost::asio::executor_work_guard work( diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index edc2fdba7660..d2a59645651e 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -241,8 +241,10 @@ int main(int argc, char *argv[]) { SetThreadName("raylet"); // IO Service for node manager. - instrumented_io_context main_service{/*enable_lag_probe=*/false, - /*running_on_single_thread=*/true}; + instrumented_io_context main_service{ + /*emit_metrics=*/RayConfig::instance().emit_main_service_metrics(), + /*running_on_single_thread=*/true, + "raylet_main_io_context"}; // Ensure that the IO service keeps running. Without this, the service will exit as soon // as there is no more work to be processed. diff --git a/src/ray/rpc/client_call.h b/src/ray/rpc/client_call.h index e9197e6466d3..dd5c794764c9 100644 --- a/src/ray/rpc/client_call.h +++ b/src/ray/rpc/client_call.h @@ -206,6 +206,10 @@ class ClientCallManager { /// /// \param[in] main_service The main event loop, to which the callback functions will be /// posted. + /// \param record_stats Whether to record stats for calls made with this client + /// \param cluster_id UUID of the destination cluster + /// \param num_threads The number of threads used for polling for completion events + /// \param call_timeout_ms Set's the default call timeout for requests on this client /// explicit ClientCallManager(instrumented_io_context &main_service, bool record_stats, diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index 0edf7668e4a7..d3dc780a84de 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -159,16 +159,19 @@ DEFINE_stats(io_context_event_loop_lag_ms, ray::stats::GAUGE); /// Event stats -DEFINE_stats(operation_count, "operation count", ("Method"), (), ray::stats::GAUGE); -DEFINE_stats( - operation_run_time_ms, "operation execution time", ("Method"), (), ray::stats::GAUGE); +DEFINE_stats(operation_count, "operation count", ("Name"), (), ray::stats::COUNT); +DEFINE_stats(operation_run_time_ms, + "operation execution time", + ("Name"), + ({1, 10, 100, 1000, 10000}), + ray::stats::HISTOGRAM); +DEFINE_stats(operation_queue_time_ms, + "operation queuing time", + ("Name"), + ({1, 10, 100, 1000, 10000}), + ray::stats::HISTOGRAM); DEFINE_stats( - operation_queue_time_ms, "operation queuing time", ("Method"), (), ray::stats::GAUGE); -DEFINE_stats(operation_active_count, - "activate operation number", - ("Method"), - (), - ray::stats::GAUGE); + operation_active_count, "active operation number", ("Name"), (), ray::stats::GAUGE); /// GRPC server DEFINE_stats(grpc_server_req_process_time_ms, From 8660e6f1f601611477db6056d199a135440ff358 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Tue, 2 Sep 2025 19:08:09 -0700 Subject: [PATCH 0996/1566] [release] Use bazel workspace directory when referencing path from repo root (#55989) Currently, this uses Bazel runfiles which causes a problem when `run_release_test` is called as a binary with Bazel, some files in the working directory not included in Bazel binary data don't get packaged into the zip file when submitting as Anyscale job. This switches to use a path with Bazel workspace directory which points to the source code and doesn't have issues of missing files in the zip file. --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 14 ++++++ release/ray_release/template.py | 24 ++++++++-- release/ray_release/tests/test_template.py | 56 ++++++++++++++++++++++ 3 files changed, 90 insertions(+), 4 deletions(-) create mode 100644 release/ray_release/tests/test_template.py diff --git a/release/BUILD.bazel b/release/BUILD.bazel index a726911feac2..374c5ac8a121 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -692,6 +692,20 @@ py_test( ], ) +py_test( + name = "test_template", + srcs = ["ray_release/tests/test_template.py"], + exec_compatible_with = ["//:hermetic_python"], + tags = [ + "release_unit", + "team:ci", + ], + deps = [ + ":ray_release", + bk_require("pytest"), + ], +) + py_binary( name = "build_pipeline", srcs = ["ray_release/scripts/build_pipeline.py"], diff --git a/release/ray_release/template.py b/release/ray_release/template.py index da060da25f93..31cca890db37 100644 --- a/release/ray_release/template.py +++ b/release/ray_release/template.py @@ -25,6 +25,7 @@ class TestEnvironment(dict): _test_env = None +_bazel_workspace_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") def get_test_environment(): @@ -72,13 +73,28 @@ def render_yaml_template(template: str, env: Optional[Dict] = None): ) from e -def get_working_dir(test: "Test", test_definition_root: Optional[str] = None) -> str: +def get_working_dir( + test: "Test", + test_definition_root: Optional[str] = None, + bazel_workspace_dir: Optional[str] = None, +) -> str: + if not bazel_workspace_dir: + bazel_workspace_dir = _bazel_workspace_dir + if bazel_workspace_dir and test_definition_root: + raise ReleaseTestConfigError( + "test_definition_root should not be specified when running with Bazel." + ) working_dir = test.get("working_dir", "") - if working_dir.startswith("//"): - return bazel_runfile(working_dir.lstrip("//")) if test_definition_root: return os.path.join(test_definition_root, working_dir) - return bazel_runfile("release", working_dir) + if working_dir.startswith("//"): + working_dir = working_dir.lstrip("//") + else: + working_dir = os.path.join("release", working_dir) + if bazel_workspace_dir: + return os.path.join(bazel_workspace_dir, working_dir) + else: + return bazel_runfile(working_dir) def load_test_cluster_compute( diff --git a/release/ray_release/tests/test_template.py b/release/ray_release/tests/test_template.py new file mode 100644 index 000000000000..4f5ef46d6426 --- /dev/null +++ b/release/ray_release/tests/test_template.py @@ -0,0 +1,56 @@ +import sys + +import pytest + +from ray_release.test import Test +from ray_release.template import get_working_dir, bazel_runfile +from ray_release.exception import ReleaseTestConfigError + + +def test_get_working_dir_with_path_from_root(): + test_with_path_from_root = Test( + { + "name": "test", + "working_dir": "//ray_testing/ray_release/tests", + } + ) + assert ( + get_working_dir(test_with_path_from_root, None, "/tmp/bazel_workspace") + == "/tmp/bazel_workspace/ray_testing/ray_release/tests" + ) + assert get_working_dir(test_with_path_from_root, None, None) == bazel_runfile( + "ray_testing/ray_release/tests" + ) + + +def test_get_working_dir_with_relative_path(): + test_with_relative_path = Test( + { + "name": "test", + "working_dir": "ray_release/tests", + } + ) + assert ( + get_working_dir(test_with_relative_path, None, "/tmp/bazel_workspace") + == "/tmp/bazel_workspace/release/ray_release/tests" + ) + assert get_working_dir(test_with_relative_path, None, None) == bazel_runfile( + "release/ray_release/tests" + ) + + +def test_get_working_dir_fail(): + test_with_path_from_root = Test( + { + "name": "test", + "working_dir": "//ray_testing/ray_release/tests", + } + ) + with pytest.raises(ReleaseTestConfigError): + get_working_dir( + test_with_path_from_root, "/tmp/test_definition_root", "tmp/bazel_workspace" + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From 6a60c02d61fef1ae5762271e1efe8f627975ac43 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 2 Sep 2025 19:34:22 -0700 Subject: [PATCH 0997/1566] [core] Making ReturnWorkerLease Idempotent (#56073) Making ReturnWorkerLease RPC idempotent and fault tolerant. Added corresponding cpp + python integration tests. This solves the issue mentioned in #55469 as we now use leaseID and not workerID to track granted leases on the raylet side. Hence, the retry for ReturnWorkerLease will not cause a pre-emptive return of an ongoing lease on the same worker since the lease ids for the retry vs current lease request will contain different lease IDs, thus the retry can just be discarded. Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/fakes/ray/rpc/raylet/raylet_client.h | 11 ++- src/mock/ray/raylet_client/raylet_client.h | 4 +- .../task_submission/normal_task_submitter.cc | 11 +-- .../tests/normal_task_submitter_test.cc | 11 ++- .../gcs_server/tests/gcs_server_test_util.h | 11 ++- src/ray/protobuf/node_manager.proto | 8 +-- src/ray/raylet/local_lease_manager.cc | 8 +-- src/ray/raylet/local_lease_manager.h | 8 +-- src/ray/raylet/main.cc | 2 +- src/ray/raylet/node_manager.cc | 67 ++++++++++--------- src/ray/raylet/node_manager.h | 20 +++--- .../tests/cluster_lease_manager_test.cc | 6 +- .../raylet/tests/local_lease_manager_test.cc | 2 +- src/ray/raylet/tests/node_manager_test.cc | 53 ++++++++++++++- src/ray/raylet/tests/util.h | 5 +- src/ray/raylet_client/node_manager_client.h | 9 +-- src/ray/raylet_client/raylet_client.cc | 15 ++--- src/ray/raylet_client/raylet_client.h | 10 +-- .../raylet_client/raylet_client_interface.h | 13 ++-- 19 files changed, 157 insertions(+), 117 deletions(-) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index fa4ef1436b6b..044351f595f4 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -37,17 +37,16 @@ class FakeRayletClient : public RayletClientInterface { callbacks.push_back(callback); } - ray::Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { + void ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { if (disconnect_worker) { num_workers_disconnected++; } else { num_workers_returned++; } - return Status::OK(); } void PrestartWorkers( diff --git a/src/mock/ray/raylet_client/raylet_client.h b/src/mock/ray/raylet_client/raylet_client.h index dab5fb18dc33..9a2c2d06b8b9 100644 --- a/src/mock/ray/raylet_client/raylet_client.h +++ b/src/mock/ray/raylet_client/raylet_client.h @@ -31,10 +31,10 @@ class MockRayletClientInterface : public RayletClientInterface { const int64_t backlog_size, const bool is_selected_based_on_locality), (override)); - MOCK_METHOD(ray::Status, + MOCK_METHOD(void, ReturnWorkerLease, (int worker_port, - const WorkerID &worker_id, + const LeaseID &lease_id, bool disconnect_worker, const std::string &disconnect_worker_error_detail, bool worker_exiting), diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 275760546c88..0045f66876d2 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -136,15 +136,8 @@ void NormalTaskSubmitter::ReturnWorkerLease(const rpc::Address &addr, scheduling_key_entries_.erase(scheduling_key); } - auto status = - lease_entry.raylet_client->ReturnWorkerLease(addr.port(), - WorkerID::FromBinary(addr.worker_id()), - was_error, - error_detail, - worker_exiting); - if (!status.ok()) { - RAY_LOG(ERROR) << "Error returning worker to raylet: " << status.ToString(); - } + lease_entry.raylet_client->ReturnWorkerLease( + addr.port(), lease_entry.lease_id, was_error, error_detail, worker_exiting); worker_to_lease_entry_.erase(addr); } diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index 707770c8b2a8..97d8b6bd48fa 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -223,11 +223,11 @@ class MockTaskManager : public MockTaskManagerInterface { class MockRayletClient : public FakeRayletClient { public: - Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { + void ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { std::lock_guard lock(mu_); if (disconnect_worker) { num_workers_disconnected++; @@ -237,7 +237,6 @@ class MockRayletClient : public FakeRayletClient { num_workers_returned_exiting++; } } - return Status::OK(); } void GetWorkerFailureCause( diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h index b90f7b6aefab..b52445c5c4f5 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h @@ -77,17 +77,16 @@ struct GcsServerMocker { class MockRayletClient : public FakeRayletClient { public: - ray::Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override { + void ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override { if (disconnect_worker) { num_workers_disconnected++; } else { num_workers_returned++; } - return Status::OK(); } void GetWorkerFailureCause( diff --git a/src/ray/protobuf/node_manager.proto b/src/ray/protobuf/node_manager.proto index 624edac21496..b8e2f9f1c0a9 100644 --- a/src/ray/protobuf/node_manager.proto +++ b/src/ray/protobuf/node_manager.proto @@ -147,8 +147,8 @@ message ResizeLocalResourceInstancesReply { message ReturnWorkerLeaseRequest { // Port of the leased worker that we are now returning. int32 worker_port = 1; - // The worker id of the lease we are now returning. - bytes worker_id = 2; + // The lease id of the lease we are now returning. + bytes lease_id = 2; // If true, there was some unrecoverable error and the raylet should // disconnect the worker. bool disconnect_worker = 3; @@ -428,8 +428,8 @@ service NodeManagerService { // Failure: Doesn't need to be retried since it will keep getting periodically called, // and is not critical. rpc ReportWorkerBacklog(ReportWorkerBacklogRequest) returns (ReportWorkerBacklogReply); - // Release a worker back to its raylet. - // Failure: TODO: Failure behavior needs to be fixed. + // Return a worker lease back to its raylet. + // Failure: Retries, it's idempotent. rpc ReturnWorkerLease(ReturnWorkerLeaseRequest) returns (ReturnWorkerLeaseReply); // This method is only used by GCS, and the purpose is to release leased workers // that may be leaked. When GCS restarts, it doesn't know which workers it has leased diff --git a/src/ray/raylet/local_lease_manager.cc b/src/ray/raylet/local_lease_manager.cc index f1d516d3a642..7a497a04993f 100644 --- a/src/ray/raylet/local_lease_manager.cc +++ b/src/ray/raylet/local_lease_manager.cc @@ -37,7 +37,7 @@ LocalLeaseManager::LocalLeaseManager( LeaseDependencyManagerInterface &lease_dependency_manager, internal::NodeInfoGetter get_node_info, WorkerPoolInterface &worker_pool, - absl::flat_hash_map> &leased_workers, + absl::flat_hash_map> &leased_workers, std::function &object_ids, std::vector> *results)> get_lease_arguments, @@ -957,7 +957,7 @@ const RayLease *LocalLeaseManager::AnyPendingLeasesForResourceAcquisition( void LocalLeaseManager::Grant( std::shared_ptr worker, - absl::flat_hash_map> &leased_workers, + absl::flat_hash_map> &leased_workers, const std::shared_ptr &allocated_instances, const RayLease &lease, rpc::RequestWorkerLeaseReply *reply, @@ -979,8 +979,8 @@ void LocalLeaseManager::Grant( reply->mutable_worker_address()->set_worker_id(worker->WorkerId().Binary()); reply->mutable_worker_address()->set_node_id(self_node_id_.Binary()); - RAY_CHECK(leased_workers.find(worker->WorkerId()) == leased_workers.end()); - leased_workers[worker->WorkerId()] = worker; + RAY_CHECK(!leased_workers.contains(lease_spec.LeaseId())); + leased_workers[lease_spec.LeaseId()] = worker; cluster_resource_scheduler_.GetLocalResourceManager().SetBusyFootprint( WorkFootprint::NODE_WORKERS); diff --git a/src/ray/raylet/local_lease_manager.h b/src/ray/raylet/local_lease_manager.h index 65611c2c338e..595ce7d00786 100644 --- a/src/ray/raylet/local_lease_manager.h +++ b/src/ray/raylet/local_lease_manager.h @@ -81,7 +81,7 @@ class LocalLeaseManager : public LocalLeaseManagerInterface { LeaseDependencyManagerInterface &lease_dependency_manager, internal::NodeInfoGetter get_node_info, WorkerPoolInterface &worker_pool, - absl::flat_hash_map> &leased_workers, + absl::flat_hash_map> &leased_workers, std::function &object_ids, std::vector> *results)> get_lease_arguments, @@ -246,7 +246,7 @@ class LocalLeaseManager : public LocalLeaseManagerInterface { void Grant( std::shared_ptr worker, - absl::flat_hash_map> &leased_workers_, + absl::flat_hash_map> &leased_workers_, const std::shared_ptr &allocated_instances, const RayLease &lease, rpc::RequestWorkerLeaseReply *reply, @@ -341,10 +341,8 @@ class LocalLeaseManager : public LocalLeaseManagerInterface { absl::flat_hash_map> backlog_tracker_; - /// TODO(Shanly): Remove `worker_pool_` and `leased_workers_` and make them as - /// parameters of methods if necessary once we remove the legacy scheduler. WorkerPoolInterface &worker_pool_; - absl::flat_hash_map> &leased_workers_; + absl::flat_hash_map> &leased_workers_; /// Callback to get references to lease arguments. These will be pinned while /// the lease is granted. diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index d2a59645651e..85f29663e916 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -292,7 +292,7 @@ int main(int argc, char *argv[]) { /// The client to export metrics to the metrics agent. std::unique_ptr metrics_agent_client; /// Map of workers leased out to clients. - absl::flat_hash_map> + absl::flat_hash_map> leased_workers; // Enable subreaper. This is called in `AsyncGetInternalConfig` below, but MSVC does diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 1ce39809764a..83585d046e38 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -109,7 +109,7 @@ NodeManager::NodeManager( LocalObjectManagerInterface &local_object_manager, LeaseDependencyManager &lease_dependency_manager, WorkerPoolInterface &worker_pool, - absl::flat_hash_map> &leased_workers, + absl::flat_hash_map> &leased_workers, plasma::PlasmaClientInterface &store_client, std::unique_ptr mutable_object_provider, @@ -1307,7 +1307,9 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie lease_dependency_manager_.CancelWaitRequest(worker->WorkerId()); // Erase any lease metadata. - ReleaseWorker(worker->WorkerId()); + if (leased_workers_.contains(worker->GetGrantedLeaseId())) { + ReleaseWorker(worker->GetGrantedLeaseId()); + } if (creation_task_exception != nullptr) { RAY_LOG(INFO).WithField(worker->WorkerId()) @@ -1911,38 +1913,41 @@ void NodeManager::HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, rpc::ReturnWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) { // Read the resource spec submitted by the client. - auto worker_id = WorkerID::FromBinary(request.worker_id()); - std::shared_ptr worker = leased_workers_[worker_id]; + auto lease_id = LeaseID::FromBinary(request.lease_id()); - Status status; - ReleaseWorker(worker_id); - if (worker) { - if (request.disconnect_worker()) { - // The worker should be destroyed. - DisconnectClient( - worker->Connection(), - /*graceful=*/false, - rpc::WorkerExitType::SYSTEM_ERROR, - absl::StrCat("The leased worker has unrecoverable failure. Worker is requested " - "to be destroyed when it is returned. ", - request.disconnect_worker_error_detail())); - } else { - if (worker->IsBlocked()) { - // Handle the edge case where the worker was returned before we got the - // unblock RPC by unblocking it immediately (unblock is idempotent). - HandleDirectCallTaskUnblocked(worker); - } - local_lease_manager_.ReleaseWorkerResources(worker); - // If the worker is exiting, don't add it to our pool. The worker will cleanup - // and terminate itself. - if (!request.worker_exiting()) { - HandleWorkerAvailable(worker); - } - } + // Check if this message is a retry + if (!leased_workers_.contains(lease_id)) { + send_reply_callback(Status::OK(), nullptr, nullptr); + return; + } + + std::shared_ptr worker = leased_workers_[lease_id]; + ReleaseWorker(lease_id); + + if (request.disconnect_worker()) { + // The worker should be destroyed. + DisconnectClient( + worker->Connection(), + /*graceful=*/false, + rpc::WorkerExitType::SYSTEM_ERROR, + absl::StrCat("The leased worker has unrecoverable failure. Worker is requested " + "to be destroyed when it is returned. ", + request.disconnect_worker_error_detail())); } else { - status = Status::Invalid("Returned worker does not exist any more"); + if (worker->IsBlocked()) { + // Handle the edge case where the worker was returned before we got the + // unblock RPC by unblocking it immediately (unblock is idempotent). + HandleDirectCallTaskUnblocked(worker); + } + local_lease_manager_.ReleaseWorkerResources(worker); + // If the worker is exiting, don't add it to our pool. The worker will cleanup + // and terminate itself. + if (!request.worker_exiting()) { + HandleWorkerAvailable(worker); + } } - send_reply_callback(status, nullptr, nullptr); + + send_reply_callback(Status::OK(), nullptr, nullptr); } void NodeManager::HandleIsLocalWorkerDead(rpc::IsLocalWorkerDeadRequest request, diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 4feee4e3fabf..f9865e49735a 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -147,7 +147,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, LocalObjectManagerInterface &local_object_manager, LeaseDependencyManager &lease_dependency_manager, WorkerPoolInterface &worker_pool, - absl::flat_hash_map> &leased_workers, + absl::flat_hash_map> &leased_workers, plasma::PlasmaClientInterface &store_client, std::unique_ptr mutable_object_provider, @@ -282,6 +282,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::ResizeLocalResourceInstancesReply *reply, rpc::SendReplyCallback send_reply_callback) override; + void HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, + rpc::ReturnWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) override; + private: FRIEND_TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog); @@ -289,8 +293,9 @@ class NodeManager : public rpc::NodeManagerServiceHandler, // Warning: this does NOT release the worker's resources, or put the leased worker // back to the worker pool, or destroy the worker. The caller must handle the worker's // resources well. - void ReleaseWorker(const WorkerID &worker_id) { - leased_workers_.erase(worker_id); + void ReleaseWorker(const LeaseID &lease_id) { + RAY_CHECK(leased_workers_.contains(lease_id)); + leased_workers_.erase(lease_id); SetIdleIfLeaseEmpty(); } @@ -554,11 +559,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, WorkerPoolInterface &worker_pool, LocalLeaseManagerInterface &local_lease_manager); - /// Handle a `ReturnWorkerLease` request. - void HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, - rpc::ReturnWorkerLeaseReply *reply, - rpc::SendReplyCallback send_reply_callback) override; - /// Handle a `ReleaseUnusedActorWorkers` request. // On GCS restart, there's a pruning effort. GCS sends raylet a list of actor workers it // still wants (that it keeps tracks of); and the raylet destroys all other actor @@ -792,8 +792,8 @@ class NodeManager : public rpc::NodeManagerServiceHandler, absl::flat_hash_map> remote_node_manager_addresses_; - /// Map of workers to their worker ids. - absl::flat_hash_map> &leased_workers_; + /// Map of leased workers to their lease ids. + absl::flat_hash_map> &leased_workers_; /// Optional extra information about why the worker failed. absl::flat_hash_map worker_failure_reasons_; diff --git a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc index 3347785c7407..40eeee6f1cf5 100644 --- a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc @@ -505,7 +505,7 @@ class ClusterLeaseManagerTest : public ::testing::Test { NodeID id_; std::shared_ptr scheduler_; MockWorkerPool pool_; - absl::flat_hash_map> leased_workers_; + absl::flat_hash_map> leased_workers_; std::unordered_set missing_objects_; int default_arg_size_ = 10; @@ -762,8 +762,8 @@ TEST_F(ClusterLeaseManagerTest, BlockedWorkerDiesTest) { RayLease finished_lease1; RayLease finished_lease2; // If a resource was double-freed, we will crash in this call. - local_lease_manager_->CleanupLease(leased_workers_[worker_id1], &finished_lease1); - local_lease_manager_->CleanupLease(leased_workers_[worker_id2], &finished_lease2); + local_lease_manager_->CleanupLease(leased_workers_[lease_id1], &finished_lease1); + local_lease_manager_->CleanupLease(leased_workers_[lease_id2], &finished_lease2); ASSERT_EQ(finished_lease1.GetLeaseSpecification().LeaseId(), lease1.GetLeaseSpecification().LeaseId()); ASSERT_EQ(finished_lease2.GetLeaseSpecification().LeaseId(), diff --git a/src/ray/raylet/tests/local_lease_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc index 0d4a829785f0..faae316bfba9 100644 --- a/src/ray/raylet/tests/local_lease_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -364,7 +364,7 @@ class LocalLeaseManagerTest : public ::testing::Test { NodeID id_; std::shared_ptr scheduler_; MockWorkerPool pool_; - absl::flat_hash_map> leased_workers_; + absl::flat_hash_map> leased_workers_; std::unordered_set missing_objects_; int default_arg_size_ = 10; diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index e33b9fdfb796..2a35f075c423 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -525,7 +525,7 @@ class NodeManagerTest : public ::testing::Test { std::unique_ptr node_manager_; MockWorkerPool mock_worker_pool_; - absl::flat_hash_map> leased_workers_; + absl::flat_hash_map> leased_workers_; std::shared_ptr> objects_pending_deletion_; }; @@ -948,6 +948,57 @@ TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesClamps) { EXPECT_EQ(reply.total_resources().at("CPU"), 6.0); } +class NodeManagerReturnWorkerLeaseIdempotentTest + : public NodeManagerTest, + public testing::WithParamInterface> {}; + +TEST_P(NodeManagerReturnWorkerLeaseIdempotentTest, TestDifferentRequestArgs) { + const auto ¶ms = GetParam(); + bool disconnect_worker = std::get<0>(params); + bool worker_exiting = std::get<1>(params); + + LeaseID lease_id = LeaseID::FromRandom(); + leased_workers_[lease_id] = std::make_shared(WorkerID::FromRandom(), 10); + rpc::ReturnWorkerLeaseRequest request; + rpc::ReturnWorkerLeaseReply reply1; + rpc::ReturnWorkerLeaseReply reply2; + request.set_lease_id(lease_id.Binary()); + request.set_disconnect_worker(disconnect_worker); + request.set_disconnect_worker_error_detail("test"); + request.set_worker_exiting(worker_exiting); + + if (disconnect_worker) { + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredWorker(testing::A &>())) + .Times(1) + .WillOnce(Return(nullptr)); + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredDriver(testing::A &>())) + .Times(1) + .WillOnce(Return(nullptr)); + } + node_manager_->HandleReturnWorkerLease( + request, + &reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(leased_workers_.size(), 0); + node_manager_->HandleReturnWorkerLease( + request, + &reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(leased_workers_.size(), 0); +} + +INSTANTIATE_TEST_SUITE_P(NodeManagerReturnWorkerLeaseIdempotentVariations, + NodeManagerReturnWorkerLeaseIdempotentTest, + testing::Combine(testing::Bool(), testing::Bool())); + } // namespace ray::raylet int main(int argc, char **argv) { diff --git a/src/ray/raylet/tests/util.h b/src/ray/raylet/tests/util.h index 7f1372bb5ef7..467ff373bbc9 100644 --- a/src/ray/raylet/tests/util.h +++ b/src/ray/raylet/tests/util.h @@ -137,10 +137,7 @@ class MockWorker : public WorkerInterface { return lease_.GetLeaseSpecification().IsDetachedActor(); } - const std::shared_ptr Connection() const override { - RAY_CHECK(false) << "Method unused"; - return nullptr; - } + const std::shared_ptr Connection() const override { return nullptr; } const rpc::Address &GetOwnerAddress() const override { return address_; } void ActorCallArgWaitComplete(int64_t tag) override { diff --git a/src/ray/raylet_client/node_manager_client.h b/src/ray/raylet_client/node_manager_client.h index 7d8d05df8232..6887a4a55ad8 100644 --- a/src/ray/raylet_client/node_manager_client.h +++ b/src/ray/raylet_client/node_manager_client.h @@ -105,10 +105,11 @@ class NodeManagerClient { grpc_client_, /*method_timeout_ms*/ -1, ) - VOID_RPC_CLIENT_METHOD(NodeManagerService, - ReturnWorkerLease, - grpc_client_, - /*method_timeout_ms*/ -1, ) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + NodeManagerService, + ReturnWorkerLease, + grpc_client_, + /*method_timeout_ms*/ -1, ) VOID_RPC_CLIENT_METHOD(NodeManagerService, ReleaseUnusedActorWorkers, diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 87d91f089ee8..79c5496f4794 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -80,22 +80,21 @@ void RayletClient::ReportWorkerBacklog( }); } -Status RayletClient::ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) { +void RayletClient::ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) { rpc::ReturnWorkerLeaseRequest request; request.set_worker_port(worker_port); - request.set_worker_id(worker_id.Binary()); + request.set_lease_id(lease_id.Binary()); request.set_disconnect_worker(disconnect_worker); request.set_disconnect_worker_error_detail(disconnect_worker_error_detail); request.set_worker_exiting(worker_exiting); grpc_client_->ReturnWorkerLease( - request, [](const Status &status, rpc::ReturnWorkerLeaseReply &&reply /*unused*/) { + std::move(request), [](const Status &status, rpc::ReturnWorkerLeaseReply &&) { RAY_LOG_IF_ERROR(INFO, status) << "Error returning worker: " << status; }); - return Status::OK(); } void RayletClient::GetWorkerFailureCause( diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/raylet_client/raylet_client.h index c2c9c6263d7b..5c7eedcfa194 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/raylet_client/raylet_client.h @@ -58,11 +58,11 @@ class RayletClient : public RayletClientInterface { const int64_t backlog_size, const bool is_selected_based_on_locality) override; - ray::Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) override; + void ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) override; void PrestartWorkers( const ray::rpc::PrestartWorkersRequest &request, diff --git a/src/ray/raylet_client/raylet_client_interface.h b/src/ray/raylet_client/raylet_client_interface.h index 621acb65c415..3480f86be848 100644 --- a/src/ray/raylet_client/raylet_client_interface.h +++ b/src/ray/raylet_client/raylet_client_interface.h @@ -62,15 +62,14 @@ class RayletClientInterface { /// Returns a worker to the raylet. /// \param worker_port The local port of the worker on the raylet node. - /// \param worker_id The unique worker id of the worker on the raylet node. + /// \param lease_id The unique lease id of the worker on the raylet node. /// \param disconnect_worker Whether the raylet should disconnect the worker. /// \param worker_exiting Whether the worker is exiting and cannot be reused. - /// \return ray::Status - virtual ray::Status ReturnWorkerLease(int worker_port, - const WorkerID &worker_id, - bool disconnect_worker, - const std::string &disconnect_worker_error_detail, - bool worker_exiting) = 0; + virtual void ReturnWorkerLease(int worker_port, + const LeaseID &lease_id, + bool disconnect_worker, + const std::string &disconnect_worker_error_detail, + bool worker_exiting) = 0; /// Request the raylet to prestart workers. In `request` we can set the worker's owner, /// runtime env info and number of workers. From 5fe6e5938eb1219e0e623f085d1dfa7a8f52582b Mon Sep 17 00:00:00 2001 From: Philipp Moritz Date: Tue, 2 Sep 2025 21:44:16 -0700 Subject: [PATCH 0998/1566] [core] Remove _ID_TYPES (#56184) ## Why are these changes needed? It is not used any more. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Philipp Moritz Signed-off-by: Douglas Strodtman --- python/ray/includes/unique_ids.pxi | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/python/ray/includes/unique_ids.pxi b/python/ray/includes/unique_ids.pxi index 9e2adad94825..3c387833dc29 100644 --- a/python/ray/includes/unique_ids.pxi +++ b/python/ray/includes/unique_ids.pxi @@ -4,9 +4,6 @@ We define different types for different IDs for type safety. See https://github.com/ray-project/ray/issues/3721. """ -# WARNING: Any additional ID types defined in this file must be added to the -# _ID_TYPES list at the bottom of this file. - import logging import os @@ -430,17 +427,3 @@ cdef class PlacementGroupID(BaseID): cdef size_t hash(self): return self.data.Hash() - -_ID_TYPES = [ - ActorClassID, - ActorID, - NodeID, - JobID, - WorkerID, - FunctionID, - ObjectID, - TaskID, - UniqueID, - PlacementGroupID, - ClusterID, -] From 62f281fb62b8132b87193bbf7a63db85cc1913aa Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Wed, 3 Sep 2025 10:27:30 +0530 Subject: [PATCH 0999/1566] [core] Fix flaky `ShutdownCoordinator` test under tsan (#56152) Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/tests/BUILD.bazel | 1 + .../tests/shutdown_coordinator_test.cc | 50 +++++++++++++++---- 2 files changed, 40 insertions(+), 11 deletions(-) diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index c6f99e1103d9..de46fb466ffa 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -18,6 +18,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/core_worker:shutdown_coordinator", + "@com_google_absl//absl/synchronization", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index 8752a8d8c966..9d18f8f7030d 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -24,6 +24,7 @@ #include #include +#include "absl/synchronization/mutex.h" #include "ray/common/buffer.h" #include "src/ray/protobuf/common.pb.h" @@ -41,26 +42,46 @@ class FakeShutdownExecutor : public ShutdownExecutorInterface { std::string last_exit_type; std::string last_detail; + mutable absl::Mutex mu_; + + std::string GetLastExitType() const { + absl::MutexLock lk(&mu_); + return last_exit_type; + } + + std::string GetLastDetail() const { + absl::MutexLock lk(&mu_); + return last_detail; + } void ExecuteGracefulShutdown(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) override { graceful_calls++; - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); + { + absl::MutexLock lk(&mu_); + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } } void ExecuteForceShutdown(std::string_view exit_type, std::string_view detail) override { force_calls++; - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); + { + absl::MutexLock lk(&mu_); + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } } void ExecuteWorkerExit(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) override { worker_exit_calls++; - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); + { + absl::MutexLock lk(&mu_); + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } } void ExecuteExit(std::string_view exit_type, std::string_view detail, @@ -68,15 +89,21 @@ class FakeShutdownExecutor : public ShutdownExecutorInterface { const std::shared_ptr<::ray::LocalMemoryBuffer> &creation_task_exception_pb_bytes) override { worker_exit_calls++; - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); + { + absl::MutexLock lk(&mu_); + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } } void ExecuteHandleExit(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) override { handle_exit_calls++; - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); + { + absl::MutexLock lk(&mu_); + last_exit_type = std::string(exit_type); + last_detail = std::string(detail); + } } void KillChildProcessesImmediately() override {} bool ShouldWorkerIdleExit() const override { return idle_exit_allowed.load(); } @@ -366,7 +393,8 @@ TEST_F(ShutdownCoordinatorTest, Concurrent_DoubleForce_ForceExecutesOnce) { // Verify that only one forced shutdown was called EXPECT_EQ(fake_ptr->force_calls.load(), 1); EXPECT_EQ(fake_ptr->graceful_calls.load(), 0); - EXPECT_TRUE(fake_ptr->last_detail == "force1" || fake_ptr->last_detail == "force2"); + EXPECT_TRUE(fake_ptr->GetLastDetail() == "force1" || + fake_ptr->GetLastDetail() == "force2"); } } // namespace core From d0c021a21aa8fb797c8280ea5c3b5f9eea449037 Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 3 Sep 2025 13:59:15 +0800 Subject: [PATCH 1000/1566] [DOC] Fix documentation errors in ray-references and ray-security directories (#56128) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-references/faq.rst | 2 +- doc/source/ray-references/glossary.rst | 16 ++++++++-------- doc/source/ray-security/index.md | 4 ++-- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/doc/source/ray-references/faq.rst b/doc/source/ray-references/faq.rst index 9fbf54fc9c60..9b18ef07bded 100644 --- a/doc/source/ray-references/faq.rst +++ b/doc/source/ray-references/faq.rst @@ -11,6 +11,6 @@ FAQ Further Questions or Issues? ----------------------------- +----------------------------- .. include:: /_includes/_help.rst diff --git a/doc/source/ray-references/glossary.rst b/doc/source/ray-references/glossary.rst index 265efc260c9b..d43fdeef19af 100644 --- a/doc/source/ray-references/glossary.rst +++ b/doc/source/ray-references/glossary.rst @@ -23,7 +23,7 @@ documentation, sorted alphabetically. essentially a stateful service. :ref:`Learn more about Ray actors`. Actor task - An invocation of an Ray actor method. Sometimes we just call it a task. + An invocation of a Ray actor method. Sometimes we just call it a task. Ray Agent Daemon process running on each Ray node. It has several functionalities like @@ -38,7 +38,7 @@ documentation, sorted alphabetically. Algorithm A class that holds the who/when/where/how for training one or more RL agent(s). The user interacts with an Algorithm instance directly to train their agents - (it is the top-most user facing API or RLlib). + (it is the top-most user facing API of RLlib). Asynchronous execution An execution model where a later task can begin executing in parallel, @@ -66,7 +66,7 @@ documentation, sorted alphabetically. Backend A class containing the initialization and teardown logic for a specific deep - learning framework (eg. Torch, TensorFlow), used to set up distributed + learning framework (e.g., Torch, TensorFlow), used to set up distributed data-parallel training for :ref:`Ray Train’s built-in trainers`. Batch format @@ -116,7 +116,7 @@ documentation, sorted alphabetically. different Ray components and libraries. A Checkpoint can have its data represented as a directory on local (on-disk) storage, as a directory on an external storage (e.g., cloud storage), and as an in-memory dictionary. - :class:`Learn more `, + :class:`Learn more `. .. TODO: How does this relate to RLlib checkpoints etc.? Be clear here @@ -197,7 +197,7 @@ documentation, sorted alphabetically. Environment The world or simulation, in which one or more reinforcement learning agents - have to learn to behave optimally in wrt. a given reward function. An + have to learn to behave optimally with respect to a given reward function. An environment consists of an observation space, a reward function, an action space, a state transition function, and a distribution over initial states (after a reset). @@ -219,7 +219,7 @@ documentation, sorted alphabetically. Trial Executor An internal :ref:`Ray Tune component` that manages the resource management and execution of each trial’s corresponding remote - Trainable actor. The trial executor’s responsibilities include launching + Trainable actor. The trial executor’s responsibilities include launching training, checkpointing, and restoring remote tasks. Experiment @@ -266,7 +266,7 @@ documentation, sorted alphabetically. .. TODO: Inference Job - A ray job is a packaged ray application that can be executed on a + A Ray job is a packaged Ray application that can be executed on a (remote) Ray cluster. :ref:`Learn more`. Lineage @@ -375,7 +375,7 @@ documentation, sorted alphabetically. On-Policy A type of RL Algorithm. In an on-policy algorithm, the policy used to compute the actions inside an RL environment (to generate the training data) must be the - exact same (matching NN weights at all times) than the one that is being + exact same (matching NN weights at all times) as the one that's being optimized. Examples for on-policy Algorithms are PPO, APPO, and IMPALA. OOM (Out of Memory) diff --git a/doc/source/ray-security/index.md b/doc/source/ray-security/index.md index 8a2d87acedde..f7a4a707e1d4 100644 --- a/doc/source/ray-security/index.md +++ b/doc/source/ray-security/index.md @@ -1,6 +1,6 @@ (security)= -# Security +# Security Ray is an easy-to-use framework to run arbitrary code across one or more nodes in a Ray Cluster. Ray provides fault-tolerance, optimized scheduling, task orchestration, and auto-scaling to run a given workload. @@ -15,7 +15,7 @@ If you expose these services (Ray Dashboard, Ray Jobs, Ray Client), anybody who can access the associated ports can execute arbitrary code on your Ray Cluster. This can happen: * Explicitly: By submitting a Ray Job, or using the Ray Client * Indirectly: By calling the Dashboard REST APIs of these services -* Implicitly: Ray extensively uses cloudpickle for serialization of arbitrary python objects. See [the pickle documentation](https://docs.python.org/3/library/pickle.html) for more details on Pickle's security model. +* Implicitly: Ray extensively uses cloudpickle for serialization of arbitrary Python objects. See [the pickle documentation](https://docs.python.org/3/library/pickle.html) for more details on Pickle's security model. The Ray Dashboard, Ray Jobs and Ray Client are developer tools that you should only use with the necessary access controls in place to restrict access to trusted parties only. From 4049e69fa0d084ecd4ad46d09663ca550bb92524 Mon Sep 17 00:00:00 2001 From: Potato Date: Wed, 3 Sep 2025 13:59:43 +0800 Subject: [PATCH 1001/1566] [DOC] Fix documentation issues in ray-overview directory (#56129) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../examples/object-detection/README.md | 34 ------------------- doc/source/ray-overview/getting-started.md | 2 +- doc/source/ray-overview/index.md | 12 +++---- doc/source/ray-overview/installation.rst | 2 +- doc/source/ray-overview/use-cases.rst | 2 +- 5 files changed, 9 insertions(+), 43 deletions(-) diff --git a/doc/source/ray-overview/examples/object-detection/README.md b/doc/source/ray-overview/examples/object-detection/README.md index bd4ae7a8b95f..4a37b2d5a8cb 100644 --- a/doc/source/ray-overview/examples/object-detection/README.md +++ b/doc/source/ray-overview/examples/object-detection/README.md @@ -1,39 +1,5 @@ # Scalable video processing - - -This tutorial builds an end-to-end face mask detection pipeline that leverages distributed fine-tuning, large-scale batch inference, video analytics, and scalable serving: - -[1.object_detection_train.ipynb](1.object_detection_train.ipynb) -Fine-tune a pre-trained Faster R-CNN model on a face mask dataset in Pascal Visual Object Classes (VOC) format using Ray Train. Parse XML annotations with Ray Data, retrieve images from S3, run a distributed training loop, checkpoint the model, and visualize inference results. -Object Detection Training Pipeline - -[2.object_detection_batch_inference_eval.ipynb](2.object_detection_batch_inference_eval.ipynb) -Load a fine-tuned model from S3 into Anyscale cluster storage, perform GPU-accelerated batch inference on a test set with Ray Data, and calculate object detection metrics (mAP, IoU, recall) using TorchMetrics for comprehensive model evaluation. -Metrics Calculation Pipeline - -[3.video_processing_batch_inference.ipynb](3.video_processing_batch_inference.ipynb) -Demonstrate a real-world video analytics workflow: read a video from S3, split it into frames, apply the detection model in parallel using Ray Data batch inference, draw bounding boxes and labels on each frame, and regenerate an annotated video for downstream consumption. -Video Processing Pipeline - -[4.object_detection_serve.ipynb](4.object_detection_serve.ipynb) -Deploy the trained Faster R-CNN mask detector as a production-ready microservice using Ray Serve and FastAPI. Set up ingress, configure autoscaling and fractional GPU allocation, test the HTTP endpoint, and manage the service lifecycle both locally and through Anyscale Services. - - -# Face mask detection pipeline - This tutorial builds an end-to-end face mask detection pipeline that leverages distributed fine-tuning, large-scale batch inference, video analytics, and scalable serving: [1.object_detection_train.ipynb](1.object_detection_train.ipynb) diff --git a/doc/source/ray-overview/getting-started.md b/doc/source/ray-overview/getting-started.md index 958134f20619..785c7976393a 100644 --- a/doc/source/ray-overview/getting-started.md +++ b/doc/source/ray-overview/getting-started.md @@ -34,7 +34,7 @@ Use individual libraries for ML workloads. Each library specializes in a specifi [Ray Data](data_quickstart) provides distributed data processing optimized for machine learning and AI workloads. It efficiently streams data through data pipelines. -Here's an example on how to scale offline inference and training ingest with Ray Data. +Here's an example of how to scale offline inference and training ingest with Ray Data. ````{note} To run this example, install Ray Data: diff --git a/doc/source/ray-overview/index.md b/doc/source/ray-overview/index.md index 99303fc819f7..0eb732ed02df 100644 --- a/doc/source/ray-overview/index.md +++ b/doc/source/ray-overview/index.md @@ -1,7 +1,7 @@ (overview-overview)= # Overview -Ray is an open-source unified framework for scaling AI and Python applications like machine learning. It provides the compute layer for parallel processing so that you don’t need to be a distributed systems expert. Ray minimizes the complexity of running your distributed individual and end-to-end machine learning workflows with these components: +Ray is an open-source unified framework for scaling AI and Python applications like machine learning. It provides the compute layer for parallel processing so that you don’t need to be a distributed systems expert. Ray minimizes the complexity of running your distributed individual workflows and end-to-end machine learning workflows with these components: * Scalable libraries for common machine learning tasks such as data preprocessing, distributed training, hyperparameter tuning, reinforcement learning, and model serving. * Pythonic distributed computing primitives for parallelizing and scaling Python applications. * Integrations and utilities for integrating and deploying a Ray cluster with existing tools and infrastructure such as Kubernetes, AWS, GCP, and Azure. @@ -16,10 +16,10 @@ For ML platform builders and ML engineers, Ray: * Reduces friction between development and production by enabling the same Python code to scale seamlessly from a laptop to a large cluster. For distributed systems engineers, Ray automatically handles key processes: -* Orchestration--Managing the various components of a distributed system. -* Scheduling--Coordinating when and where tasks are executed. -* Fault tolerance--Ensuring tasks complete regardless of inevitable points of failure. -* Auto-scaling--Adjusting the number of resources allocated to dynamic demand. +* Orchestration: Managing the various components of a distributed system. +* Scheduling: Coordinating when and where tasks are executed. +* Fault tolerance: Ensuring tasks complete regardless of inevitable points of failure. +* Auto-scaling: Adjusting the number of resources allocated to dynamic demand. ## What you can do with Ray @@ -110,7 +110,7 @@ Each of [Ray's](../ray-air/getting-started) five native libraries distributes a - [Serve](../serve/index): Scalable and programmable serving to deploy models for online inference, with optional microbatching to improve performance. - [RLlib](../rllib/index): Scalable distributed reinforcement learning workloads. -Ray's libraries are for both data scientists and ML engineers alike. For data scientists, these libraries can be used to scale individual workloads, and also end-to-end ML applications. For ML Engineers, these libraries provides scalable platform abstractions that can be used to easily onboard and integrate tooling from the broader ML ecosystem. +Ray's libraries are for both data scientists and ML engineers. For data scientists, these libraries can be used to scale individual workloads and end-to-end ML applications. For ML engineers, these libraries provide scalable platform abstractions that can be used to easily onboard and integrate tooling from the broader ML ecosystem. For custom applications, the [Ray Core](../ray-core/walkthrough) library enables Python developers to easily build scalable, distributed systems that can run on a laptop, cluster, cloud, or Kubernetes. It's the foundation that Ray AI libraries and third-party integrations (Ray ecosystem) are built on. diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index 1bb7e8fcc552..7ba1db6424b3 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -196,7 +196,7 @@ Here's a summary of the variations: * For MacOS x86_64, commits predating August 7, 2021 will have ``macosx_10_13`` in the filename instead of ``macosx_10_15``. * For MacOS x86_64, commits predating June 1, 2025 will have ``macosx_10_15`` in the filename instead of ``macosx_12_0``. -.. _apple-silcon-supprt: +.. _apple-silicon-support: M1 Mac (Apple Silicon) Support ------------------------------ diff --git a/doc/source/ray-overview/use-cases.rst b/doc/source/ray-overview/use-cases.rst index 9a05bda6a96b..b4d74d51f0d7 100644 --- a/doc/source/ray-overview/use-cases.rst +++ b/doc/source/ray-overview/use-cases.rst @@ -137,7 +137,7 @@ RLlib is an open-source library for reinforcement learning (RL), offering suppor .. figure:: /images/rllib_use_case.png - Decentralized distributed proximal polixy optimiation (DD-PPO) architecture. + Decentralized distributed proximal policy optimization (DD-PPO) architecture. Learn more about reinforcement learning with the following resources. From cb1bd058abd7b69bc2deddacd9296542f27f69bf Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 2 Sep 2025 23:00:20 -0700 Subject: [PATCH 1002/1566] [core] Revert lease spec optimization from #55806 (#56179) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- .../task_submission/normal_task_submitter.cc | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 0045f66876d2..9c2bf707247e 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -64,14 +64,9 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { const SchedulingKey scheduling_key(task_spec.GetSchedulingClass(), task_spec.GetDependencyIds(), task_spec.GetRuntimeEnvHash()); - auto [scheduler_key_entry_iter, new_scheduling_key_entry] = - scheduling_key_entries_.try_emplace(scheduling_key, SchedulingKeyEntry{}); - auto &scheduling_key_entry = scheduler_key_entry_iter->second; - - // Only set lease_spec if this is a new scheduling key entry - if (new_scheduling_key_entry) { - scheduling_key_entry.lease_spec = LeaseSpecification(task_spec.GetMessage()); - } + // TODO(#56107): Only create the lease spec if this is a new scheduling key entry + auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; + scheduling_key_entry.lease_spec = LeaseSpecification(task_spec.GetMessage()); scheduling_key_entry.task_queue.push_back(std::move(task_spec)); if (!scheduling_key_entry.AllWorkersBusy()) { From e3103c5bde408024d6cb2d4b047e871df0e9818d Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 3 Sep 2025 00:38:49 -0700 Subject: [PATCH 1003/1566] [core][gpu-objects] CI for gpu objects (#56020) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 18 +++--------------- ci/pipeline/test_conditional_testing.py | 4 +++- ci/pipeline/test_rules.txt | 9 ++++++--- python/ray/tests/BUILD | 6 +++--- .../{ => gpu_objects}/test_gpu_objects_gloo.py | 0 .../{ => gpu_objects}/test_gpu_objects_nccl.py | 0 .../{ => gpu_objects}/test_gpu_objects_nixl.py | 4 ++-- 7 files changed, 17 insertions(+), 24 deletions(-) rename python/ray/tests/{ => gpu_objects}/test_gpu_objects_gloo.py (100%) rename python/ray/tests/{ => gpu_objects}/test_gpu_objects_nccl.py (100%) rename python/ray/tests/{ => gpu_objects}/test_gpu_objects_nixl.py (94%) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index e5e1afca4e0d..e57b4d61e8b8 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -60,19 +60,7 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/tests/... //python/ray/_common/tests/... //python/ray/dag/... //python/ray/autoscaler/v2/... core --install-mask all-ray-libraries --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,compiled_graphs,dask - --install-mask all-ray-libraries - - - label: ":ray: core: cgraph python tests" - tags: - - compiled_graphs - instance_type: large - commands: - - bazel run //ci/ray_ci:test_in_docker -- //python/ray/dag/... core - --install-mask all-ray-libraries - --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 - --only-tags compiled_graphs - --except-tags multi_gpu + --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask --install-mask all-ray-libraries - label: ":ray: core: python {{matrix.python}} tests ({{matrix.worker_id}})" @@ -469,7 +457,7 @@ steps: depends_on: - corebuild - # block on premerge and microcheck + # block gpu tests on premerge and microcheck - block: "run multi gpu tests" if: build.env("BUILDKITE_PIPELINE_ID") == "0189942e-0876-4b8f-80a4-617f988ec59b" || build.env("BUILDKITE_PIPELINE_ID") == "018f4f1e-1b73-4906-9802-92422e3badaa" key: block-core-gpu-tests @@ -478,7 +466,7 @@ steps: - label: ":ray: core: multi gpu tests" key: core-multi-gpu-tests tags: - - compiled_graphs + - cgraphs_direct_transport - gpu instance_type: gpu-large # we're running some cgraph doc tests here as well since they need gpus diff --git a/ci/pipeline/test_conditional_testing.py b/ci/pipeline/test_conditional_testing.py index 9dfbb68292d1..d42e44973d5b 100644 --- a/ci/pipeline/test_conditional_testing.py +++ b/ci/pipeline/test_conditional_testing.py @@ -43,7 +43,9 @@ - lint ml tune train data - python dashboard linux_wheels macos_wheels java python/ray/dag/dag.py: - - lint python compiled_graphs + - lint python cgraphs_direct_transport +python/ray/experimental/gpu_object_manager/gpu_object_manager.py: + - lint python cgraphs_direct_transport .buildkite/core.rayci.yml: lint python core_cpp java/ray.java: lint java diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index a3aebf566d7e..9bb208c2a0fb 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -14,7 +14,7 @@ # ; # Semicolon to separate rules ! always lint -! python cpp core_cpp java workflow compiled_graphs dashboard +! python cpp core_cpp java workflow cgraphs_direct_transport dashboard ! ray_client runtime_env_container ! data dask serve ml tune train llm rllib rllib_gpu rllib_directly ! linux_wheels macos_wheels docker doc python_dependencies tools @@ -94,7 +94,10 @@ python/requirements/ python/ray/dag/ python/ray/experimental/channel/ -@ python compiled_graphs +python/ray/experimental/gpu_object_manager/ +python/ray/experimental/collective/ +python/ray/tests/gpu_objects/ +@ python cgraphs_direct_transport ; python/ray/util/client/ @@ -232,7 +235,7 @@ src/ src/ray/core_worker/experimental*.h src/ray/core_worker/experimental*.cc -@ compiled_graphs +@ cgraphs_direct_transport ; .github/ diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 2181d005e59d..96da51621016 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -611,7 +611,7 @@ py_test_module_list( py_test_module_list( size = "large", files = [ - "test_gpu_objects_gloo.py", + "gpu_objects/test_gpu_objects_gloo.py", ], tags = [ "exclusive", @@ -629,8 +629,8 @@ py_test_module_list( size = "medium", env = {"RAY_PYTEST_USE_GPU": "1"}, files = [ - "test_gpu_objects_nccl.py", - "test_gpu_objects_nixl.py", + "gpu_objects/test_gpu_objects_nccl.py", + "gpu_objects/test_gpu_objects_nixl.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py similarity index 100% rename from python/ray/tests/test_gpu_objects_gloo.py rename to python/ray/tests/gpu_objects/test_gpu_objects_gloo.py diff --git a/python/ray/tests/test_gpu_objects_nccl.py b/python/ray/tests/gpu_objects/test_gpu_objects_nccl.py similarity index 100% rename from python/ray/tests/test_gpu_objects_nccl.py rename to python/ray/tests/gpu_objects/test_gpu_objects_nccl.py diff --git a/python/ray/tests/test_gpu_objects_nixl.py b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py similarity index 94% rename from python/ray/tests/test_gpu_objects_nixl.py rename to python/ray/tests/gpu_objects/test_gpu_objects_nixl.py index 1b429ea05fc9..835a0ef4c059 100644 --- a/python/ray/tests/test_gpu_objects_nixl.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py @@ -19,8 +19,8 @@ def sum(self, data, device): @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) def test_p2p(ray_start_regular): - world_size = 2 - actors = [GPUTestActor.remote() for _ in range(world_size)] + num_actors = 2 + actors = [GPUTestActor.remote() for _ in range(num_actors)] src_actor, dst_actor = actors[0], actors[1] From 6a7003b2488aba271699db308ebd886b16442eba Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Wed, 3 Sep 2025 04:47:19 -0700 Subject: [PATCH 1004/1566] [core] Remove redundant psutil get_cpu_utilzation call from (#56181) The first call to 'get_cpu_utilization' if you don't pass an interval will always return 0 on the first call. Subsequent calls will have a nonzero number because the sample interval is just assumed to be between successive calls. There are three separate functions for agent/worker/raylet/gcs. They all do the exact same thing but differ slightly in terms of how they're written. Let's look at two. ``` def _get_gcs(self): if self._gcs_pid: gcs_proc = psutil.Process(self._gcs_pid) if gcs_proc: dictionary = gcs_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) # dictionary["cpu_percent"] = gcs_proc.cpu_percent(interval=1) return dictionary return {} ``` The above is for gcs ``` def _get_agent(self): # Current proc == agent proc if not self._agent_proc: self._agent_proc = psutil.Process() return self._agent_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) ``` The above is for agent. The important thing to notice is these two lines: `gcs_proc = psutil.Process(self._gcs_pid)` and ``` if not self._agent_proc: self._agent_proc = psutil.Process() ``` The agent function uses a cached Process object while the gcs one makes a new one on each call to get_gcs which means that every call to get_gcs is the first call to this object and as a result will always return zero. Meanwhile, since the object is cached for the agent version of this function, only the first call will return non zero. The earlier fix here was just to call it again using the api which allowed one to pass an interval. This would return non-zero and at least fixed the metric. However, it's a bit redundant and has the overhead of having to wait for the interval to elapse. This change removes the extra call and the wait. ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: zac Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/reporter/reporter_agent.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 7a7b1ec83d07..8430bff607b6 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -474,6 +474,7 @@ def __init__(self, dashboard_agent): thread_name_prefix="reporter_agent_executor", ) self._gcs_pid = None + self._gcs_proc = None self._gpu_profiling_manager = GpuProfilingManager( profile_dir_path=self._log_dir, ip_address=self._ip @@ -1004,10 +1005,10 @@ def _get_raylet_proc(self): def _get_gcs(self): if self._gcs_pid: - gcs_proc = psutil.Process(self._gcs_pid) - if gcs_proc: - dictionary = gcs_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) - dictionary["cpu_percent"] = gcs_proc.cpu_percent(interval=1) + if not self._gcs_proc or self._gcs_pid != self._gcs_proc.pid: + self._gcs_proc = psutil.Process(self._gcs_pid) + if self._gcs_proc: + dictionary = self._gcs_proc.as_dict(attrs=PSUTIL_PROCESS_ATTRS) return dictionary return {} From 2ae0d88d458d5685d89ecdbe3b48152174c2786f Mon Sep 17 00:00:00 2001 From: simonsays1980 Date: Wed, 3 Sep 2025 14:29:20 +0200 Subject: [PATCH 1005/1566] [RLlib - Offline RL] Add spaces in case only offline data is used (#56141) ## Why are these changes needed? The `spaces` are used to build an `RLModule`. This is in online RL handled by the `EnvRunner`s that check the `EnvToModule` and `ModuleToEnv` spaces. In case of offline RL this is not handled and as soon as a user does use a custom connector that changes observations or actions the `RLModule` cannot be built on the `Learner` anymore. This PR handles this case and adds spaces - deduced from a local learner connector such that users can use space transformations in custom connectors. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 Signed-off-by: Douglas Strodtman --- rllib/algorithms/algorithm.py | 37 +++++++++++++++++++++++++++-------- 1 file changed, 29 insertions(+), 8 deletions(-) diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index 6d455da75c55..4a01276ea040 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -769,14 +769,35 @@ def setup(self, config: AlgorithmConfig) -> None: elif self.eval_env_runner_group: spaces.update(self.eval_env_runner_group.get_spaces()) else: - spaces.update( - { - DEFAULT_MODULE_ID: ( - self.config.observation_space, - self.config.action_space, - ), - } - ) + # If the algorithm is online we use the spaces from as they are + # provided. + if self.config.is_online: + spaces.update( + { + DEFAULT_MODULE_ID: ( + self.config.observation_space, + self.config.action_space, + ), + } + ) + # Otherwise, when we are offline we need to check, if the learner connector + # is transforming the spaces. + elif self.config.is_offline: + # Build the learner connector with the input spaces from the environment. + learner_connector = self.config.build_learner_connector( + input_observation_space=spaces[INPUT_ENV_SPACES][0], + input_action_space=spaces[INPUT_ENV_SPACES][1], + ) + # Update the `spaces` dictionary by using the output spaces of the learner + # connector pipeline. + spaces.update( + { + DEFAULT_MODULE_ID: ( + learner_connector.observation_space, + learner_connector.action_space, + ), + } + ) module_spec: MultiRLModuleSpec = self.config.get_multi_rl_module_spec( spaces=spaces, From c25ab33881232f76d62b89ec024a43c9e2f3c965 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Wed, 3 Sep 2025 18:39:38 +0530 Subject: [PATCH 1006/1566] [core] Introduce new exception type for un-pickleable exceptions (#55878) This PR introduces a new exception type `UnpickleableException` for cases where the RayTaskException is not unpickleable. previously we threw a `RaySystemError` with the original stacktrace (string representation), but this is not right as the exception is not really due to an issue internal to Ray. sample code: ```python import os os.environ["RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO"] = "0" import openai import ray from openai import AuthenticationError def call_openai_and_error_out(): client = openai.OpenAI( base_url="https://api.endpoints.anyscale.com/v1", api_key="test", ) try: client.chat.completions.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a chatbot."}, {"role": "user", "content": "What is the capital of France?"}, ], ) except AuthenticationError as e: print("Errored as expected given API key is invalid.") raise e remote_fn = ray.remote(call_openai_and_error_out) ray.get(remote_fn.remote()) ``` exception message: ```python (base) ubuntu@devbox:~/clone/ray$ python test.py 2025-08-25 08:24:40,371 INFO worker.py:1939 -- Started a local Ray instance. View the dashboard at 127.0.0.1:8265 Traceback (most recent call last): File "/home/ubuntu/clone/ray/test.py", line 28, in ray.get(remote_fn.remote()) File "/home/ubuntu/clone/ray/python/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper return fn(*args, **kwargs) File "/home/ubuntu/clone/ray/python/ray/_private/client_mode_hook.py", line 104, in wrapper return func(*args, **kwargs) File "/home/ubuntu/clone/ray/python/ray/_private/worker.py", line 2894, in get values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) File "/home/ubuntu/clone/ray/python/ray/_private/worker.py", line 967, in get_objects raise value ray.exceptions.UnserializableException: Failed to deserialize exception. This typically occurs when the original exception class is not available, there are version incompatibilities, or the serialized data is corrupted. Original exception: ray.exceptions.RayTaskError: ray::call_openai_and_error_out() (pid=1996227, ip=172.31.5.49) File "/home/ubuntu/clone/ray/test.py", line 15, in call_openai_and_error_out client.chat.completions.create( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_utils/_utils.py", line 287, in wrapper return func(*args, **kwargs) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/resources/chat/completions/completions.py", line 925, in create return self._post( File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1249, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File "/home/ubuntu/.local/lib/python3.9/site-packages/openai/_base_client.py", line 1037, in request raise self._make_status_error_from_response(err.response) from None openai.NotFoundError:

    Thank you for using Anyscale's Public Endpoints API.

    Effective August 1, 2024 Anyscale Endpoints API is available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models has been removed.

    With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.

    ``` --------- Signed-off-by: sampan Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- doc/source/ray-core/api/exceptions.rst | 1 + python/ray/exceptions.py | 39 +++++++++++++++++++----- python/ray/tests/test_traceback.py | 41 ++++---------------------- 3 files changed, 39 insertions(+), 42 deletions(-) diff --git a/doc/source/ray-core/api/exceptions.rst b/doc/source/ray-core/api/exceptions.rst index 104c1c361008..fec840b82eab 100644 --- a/doc/source/ray-core/api/exceptions.rst +++ b/doc/source/ray-core/api/exceptions.rst @@ -39,3 +39,4 @@ Exceptions ray.exceptions.CrossLanguageError ray.exceptions.RaySystemError ray.exceptions.NodeDiedError + ray.exceptions.UnserializableException diff --git a/python/ray/exceptions.py b/python/ray/exceptions.py index 451deb295955..f628ed6549bd 100644 --- a/python/ray/exceptions.py +++ b/python/ray/exceptions.py @@ -48,19 +48,16 @@ def from_ray_exception(ray_exception): if ray_exception.language == PYTHON: try: return pickle.loads(ray_exception.serialized_exception) - except Exception as e: - msg = "Failed to unpickle serialized exception" - # Include a fallback string/stacktrace to aid debugging. - # formatted_exception_string is set in to_bytes() above by calling + except Exception: + # formatted_exception_string is set in to_bytes() above by calling # traceback.format_exception() on the original exception. It contains # the string representation and stack trace of the original error. - formatted = getattr( + original_stacktrace = getattr( ray_exception, "formatted_exception_string", "No formatted exception string available.", ) - msg += f"\nOriginal exception (string repr):\n{formatted}" - raise RuntimeError(msg) from e + return UnserializableException(original_stacktrace) else: return CrossLanguageError(ray_exception) @@ -910,6 +907,33 @@ class RayCgraphCapacityExceeded(RaySystemError): pass +@PublicAPI(stability="alpha") +class UnserializableException(RayError): + """Raised when there is an error deserializing a serialized exception. + + This occurs when deserializing (unpickling) a previously serialized exception + fails. In this case, we fall back to raising the string representation of + the original exception along with its stack trace that was captured at the + time of serialization. + + reference for more details: https://docs.ray.io/en/latest/ray-core/objects/serialization.html + + Args: + original_stack_trace: The string representation and stack trace of the + original exception that was captured during serialization. + """ + + def __init__(self, original_stack_trace: str): + self._original_stack_trace = original_stack_trace + + def __str__(self): + return ( + "Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#troubleshooting to troubleshoot.\n" + "Original exception:\n" + f"{self._original_stack_trace}" + ) + + RAY_EXCEPTION_TYPES = [ PlasmaObjectNotAvailable, RayError, @@ -939,4 +963,5 @@ class RayCgraphCapacityExceeded(RaySystemError): RayChannelTimeoutError, OufOfBandObjectRefSerializationException, RayCgraphCapacityExceeded, + UnserializableException, ] diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index 4db33239b4b4..4921181d24d3 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -5,7 +5,7 @@ import pytest import ray -from ray.exceptions import RayActorError, RayTaskError +from ray.exceptions import RayActorError, RayTaskError, UnserializableException """This module tests stacktrace of Ray. @@ -301,33 +301,8 @@ def __repr__(self): def test_unpickleable_stacktrace(shutdown_only): - expected_output = """System error: Failed to unpickle serialized exception -Original exception (string repr): -ray.exceptions.RayTaskError: ray::f() (pid=XXX, ip=YYY) - File "FILE", line ZZ, in f - return g(c) - File "FILE", line ZZ, in g - raise NoPickleError("FILE") -test_traceback.NoPickleError - -traceback: Traceback (most recent call last): - File "FILE", line ZZ, in from_ray_exception - return pickle.loads(ray_exception.serialized_exception) -TypeError: __init__() missing 1 required positional argument: 'arg' - -The above exception was the direct cause of the following exception: - -Traceback (most recent call last): - File "FILE", line ZZ, in deserialize_objects - obj = self._deserialize_object( - File "FILE", line ZZ, in _deserialize_object - return RayError.from_bytes(obj) - File "FILE", line ZZ, in from_bytes - return RayError.from_ray_exception(ray_exception) - File "FILE", line ZZ, in from_ray_exception - raise RuntimeError(msg) from e -RuntimeError: Failed to unpickle serialized exception -Original exception (string repr): + expected_output = """Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#troubleshooting to troubleshoot. +Original exception: ray.exceptions.RayTaskError: ray::f() (pid=XXX, ip=YYY) File "FILE", line ZZ, in f return g(c) @@ -349,14 +324,10 @@ def f(): c = a + b return g(c) - try: + with pytest.raises(UnserializableException) as excinfo: ray.get(f.remote()) - except Exception as ex: - python310_extra_exc_msg = "test_unpickleable_stacktrace..NoPickleError." - cleaned = scrub_traceback(str(ex)).replace( - f"TypeError: {python310_extra_exc_msg}", "TypeError: " - ) - assert clean_noqa(expected_output) == cleaned + + assert clean_noqa(expected_output) == scrub_traceback(str(excinfo.value)) def test_serialization_error_message(shutdown_only): From 21ac7b93cfb6bbf34ce50db4412d8a7bfd8f57c8 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 3 Sep 2025 09:42:13 -0500 Subject: [PATCH 1007/1566] [core] Split `gcs_pubsub_lib` targets and move to `pubsub/` (#56167) - Avoid coupling publisher & subscriber targets. - Isolate `PythonGcsSubscriber` to only where it needs to be included (it includes heavyweight gRPC headers). - Move to `pubsub/` dir instead of `gcs/` dir. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 1 + python/ray/_raylet.pyx | 2 +- python/ray/includes/common.pxd | 6 +- src/ray/gcs/gcs_client/BUILD.bazel | 2 +- src/ray/gcs/gcs_client/gcs_client.cc | 3 +- src/ray/gcs/gcs_client/gcs_client.h | 6 +- .../gcs/gcs_client/global_state_accessor.h | 1 - src/ray/gcs/gcs_server/BUILD.bazel | 16 +- src/ray/gcs/gcs_server/gcs_actor_manager.cc | 2 +- src/ray/gcs/gcs_server/gcs_actor_manager.h | 6 +- .../gcs_autoscaler_state_manager.cc | 2 +- .../gcs_server/gcs_autoscaler_state_manager.h | 6 +- src/ray/gcs/gcs_server/gcs_job_manager.cc | 1 - src/ray/gcs/gcs_server/gcs_job_manager.h | 8 +- src/ray/gcs/gcs_server/gcs_node_manager.cc | 3 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 6 +- src/ray/gcs/gcs_server/gcs_server.cc | 8 +- src/ray/gcs/gcs_server/gcs_server.h | 4 +- .../gcs_server/gcs_server_io_context_policy.h | 4 +- src/ray/gcs/gcs_server/gcs_worker_manager.h | 6 +- src/ray/gcs/gcs_server/pubsub_handler.cc | 2 +- src/ray/gcs/gcs_server/pubsub_handler.h | 6 +- .../gcs_actor_manager_export_event_test.cc | 4 +- .../gcs_job_manager_export_event_test.cc | 4 +- .../gcs_node_manager_export_event_test.cc | 4 +- .../tests/gcs_actor_manager_test.cc | 4 +- .../tests/gcs_actor_scheduler_test.cc | 4 +- .../gcs_server/tests/gcs_job_manager_test.cc | 4 +- .../gcs_server/tests/gcs_node_manager_test.cc | 4 +- .../tests/gcs_placement_group_manager_test.cc | 6 +- .../gcs_placement_group_scheduler_test.cc | 6 +- .../tests/gcs_worker_manager_test.cc | 13 +- src/ray/gcs/pubsub/BUILD.bazel | 14 -- src/ray/gcs/pubsub/gcs_pub_sub.h | 169 ----------------- src/ray/pubsub/BUILD.bazel | 38 ++++ src/ray/pubsub/gcs_publisher.cc | 67 +++++++ src/ray/pubsub/gcs_publisher.h | 72 ++++++++ src/ray/pubsub/gcs_subscriber.cc | 144 +++++++++++++++ src/ray/pubsub/gcs_subscriber.h | 73 ++++++++ .../python_gcs_subscriber.cc} | 173 +----------------- src/ray/pubsub/python_gcs_subscriber.h | 90 +++++++++ 41 files changed, 566 insertions(+), 428 deletions(-) delete mode 100644 src/ray/gcs/pubsub/BUILD.bazel delete mode 100644 src/ray/gcs/pubsub/gcs_pub_sub.h create mode 100644 src/ray/pubsub/gcs_publisher.cc create mode 100644 src/ray/pubsub/gcs_publisher.h create mode 100644 src/ray/pubsub/gcs_subscriber.cc create mode 100644 src/ray/pubsub/gcs_subscriber.h rename src/ray/{gcs/pubsub/gcs_pub_sub.cc => pubsub/python_gcs_subscriber.cc} (51%) create mode 100644 src/ray/pubsub/python_gcs_subscriber.h diff --git a/BUILD.bazel b/BUILD.bazel index 24bfe58c2f90..93a988b07b9d 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -251,6 +251,7 @@ pyx_library( "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:serialization_cc_proto", + "//src/ray/pubsub:python_gcs_subscriber", "//src/ray/thirdparty/setproctitle", "//src/ray/util:memory", "//src/ray/util:raii", diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 5765d272a115..a8c02bc4848d 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2844,7 +2844,7 @@ cdef class GcsClient: cdef class _GcsSubscriber: - """Cython wrapper class of C++ `ray::gcs::PythonGcsSubscriber`.""" + """Cython wrapper class of C++ `ray::pubsub::PythonGcsSubscriber`.""" cdef: shared_ptr[CPythonGcsSubscriber] inner diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index d15746effdde..95ca2488e59a 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -649,8 +649,8 @@ cdef extern from "ray/gcs/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, double] PythonGetResourcesTotal( const CGcsNodeInfo& node_info) -cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" nogil: - cdef cppclass CPythonGcsSubscriber "ray::gcs::PythonGcsSubscriber": +cdef extern from "ray/pubsub/python_gcs_subscriber.h" nogil: + cdef cppclass CPythonGcsSubscriber "ray::pubsub::PythonGcsSubscriber": CPythonGcsSubscriber( const c_string& gcs_address, int gcs_port, CChannelType channel_type, @@ -668,7 +668,7 @@ cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" nogil: CRayStatus Close() -cdef extern from "ray/gcs/pubsub/gcs_pub_sub.h" namespace "ray::gcs" nogil: +cdef extern from "ray/pubsub/python_gcs_subscriber.h" namespace "ray::pubsub" nogil: c_vector[c_string] PythonGetLogBatchLines(CLogBatch log_batch) cdef extern from "ray/gcs/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index b4b9ec43ade4..bd6dabcc8ae7 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -14,9 +14,9 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:protobuf_utils", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:usage_cc_proto", + "//src/ray/pubsub:gcs_subscriber", "//src/ray/pubsub:subscriber", "//src/ray/rpc:gcs_client", "//src/ray/util:container_util", diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs/gcs_client/gcs_client.cc index 43d960e0bdf9..f3974a75e5d9 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs/gcs_client/gcs_client.cc @@ -146,7 +146,8 @@ Status GcsClient::Connect(instrumented_io_context &io_service, int64_t timeout_m /*callback_service*/ &io_service); // Init GCS subscriber instance. - gcs_subscriber_ = std::make_unique(gcs_address, std::move(subscriber)); + gcs_subscriber_ = + std::make_unique(gcs_address, std::move(subscriber)); job_accessor_ = std::make_unique(this); actor_accessor_ = std::make_unique(this); diff --git a/src/ray/gcs/gcs_client/gcs_client.h b/src/ray/gcs/gcs_client/gcs_client.h index 3c339bc8ff50..913f41415908 100644 --- a/src/ray/gcs/gcs_client/gcs_client.h +++ b/src/ray/gcs/gcs_client/gcs_client.h @@ -29,7 +29,7 @@ #include "ray/common/id.h" #include "ray/common/status.h" #include "ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_subscriber.h" #include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" @@ -223,7 +223,7 @@ class RAY_EXPORT GcsClient : public std::enable_shared_from_this { /// This function is thread safe. virtual InternalKVAccessor &InternalKV() { return *internal_kv_accessor_; } - virtual GcsSubscriber &GetGcsSubscriber() { return *gcs_subscriber_; } + virtual pubsub::GcsSubscriber &GetGcsSubscriber() { return *gcs_subscriber_; } virtual rpc::GcsRpcClient &GetGcsRpcClient() { return *gcs_rpc_client_; } @@ -250,7 +250,7 @@ class RAY_EXPORT GcsClient : public std::enable_shared_from_this { const UniqueID gcs_client_id_ = UniqueID::FromRandom(); - std::unique_ptr gcs_subscriber_; + std::unique_ptr gcs_subscriber_; // Gcs rpc client std::shared_ptr gcs_rpc_client_; diff --git a/src/ray/gcs/gcs_client/global_state_accessor.h b/src/ray/gcs/gcs_client/global_state_accessor.h index 8ad2af80cb2f..7c2266a53b15 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.h +++ b/src/ray/gcs/gcs_client/global_state_accessor.h @@ -24,7 +24,6 @@ #include "absl/synchronization/mutex.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/rpc/server_call.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index b3c6248912a9..35ced96675f6 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -74,10 +74,10 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", + "//src/ray/pubsub:gcs_publisher", "//src/ray/raylet_client:raylet_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", @@ -139,8 +139,8 @@ ray_cc_library( hdrs = ["pubsub_handler.h"], deps = [ "//src/ray/gcs/gcs_server:grpc_service_interfaces", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/pubsub:gcs_publisher", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -169,7 +169,7 @@ ray_cc_library( ":gcs_table_storage", ":gcs_usage_stats_client", ":grpc_service_interfaces", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/pubsub:gcs_publisher", "//src/ray/stats:stats_metric", ], ) @@ -233,7 +233,7 @@ ray_cc_library( deps = [ ":gcs_task_manager", "//src/ray/common:ray_syncer", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/pubsub:gcs_publisher", "//src/ray/util:array", "//src/ray/util:type_traits", ], @@ -250,7 +250,7 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:protobuf_utils", "//src/ray/common:runtime_env", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", + "//src/ray/pubsub:gcs_publisher", "//src/ray/rpc:core_worker_client", "//src/ray/stats:stats_metric", "//src/ray/util:event", @@ -428,8 +428,8 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/pubsub:gcs_publisher", "//src/ray/rpc:core_worker_client", "//src/ray/util:counter_map", "//src/ray/util:logging", @@ -465,8 +465,8 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/pubsub:gcs_publisher", "//src/ray/util:thread_checker", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest", @@ -507,13 +507,13 @@ ray_cc_library( ":gcs_worker_manager", ":grpc_service_interfaces", ":grpc_services", - "//src/ray/gcs/pubsub:gcs_pub_sub_lib", "//src/ray/gcs/store_client", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client:observable_store_client", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/pubsub:gcs_publisher", "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", "//src/ray/raylet_client:raylet_client_lib", diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_server/gcs_actor_manager.cc index 6cd3d33d8ca0..dde37de4b3e0 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.cc @@ -222,7 +222,7 @@ GcsActorManager::GcsActorManager( std::unique_ptr scheduler, GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, - GcsPublisher *gcs_publisher, + pubsub::GcsPublisher *gcs_publisher, RuntimeEnvManager &runtime_env_manager, GCSFunctionManager &function_manager, std::function destroy_owned_placement_group_if_needed, diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_server/gcs_actor_manager.h index 479d3818100b..1f95b8ccf31f 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_server/gcs_actor_manager.h @@ -34,7 +34,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" @@ -100,7 +100,7 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { std::unique_ptr scheduler, GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, - GcsPublisher *gcs_publisher, + pubsub::GcsPublisher *gcs_publisher, RuntimeEnvManager &runtime_env_manager, GCSFunctionManager &function_manager, std::function destroy_owned_placement_group_if_needed, @@ -474,7 +474,7 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { GcsTableStorage *gcs_table_storage_; instrumented_io_context &io_context_; /// A publisher for publishing gcs messages. - GcsPublisher *gcs_publisher_; + pubsub::GcsPublisher *gcs_publisher_; /// This is used to communicate with actors and their owners. rpc::CoreWorkerClientPool &worker_client_pool_; /// A callback that is used to destroy placemenet group owned by the actor. diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc index f356930f3fc3..85ff43477a9d 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc @@ -34,7 +34,7 @@ GcsAutoscalerStateManager::GcsAutoscalerStateManager( rpc::RayletClientPool &raylet_client_pool, InternalKVInterface &kv, instrumented_io_context &io_context, - GcsPublisher *gcs_publisher) + pubsub::GcsPublisher *gcs_publisher) : session_name_(std::move(session_name)), gcs_node_manager_(gcs_node_manager), gcs_actor_manager_(gcs_actor_manager), diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index d262191611fb..61246ad0a6c9 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -30,7 +30,7 @@ #include "ray/gcs/gcs_server/gcs_placement_group_manager.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/state_util.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/raylet_client/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" @@ -47,7 +47,7 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateService rpc::RayletClientPool &raylet_client_pool, InternalKVInterface &kv, instrumented_io_context &io_context, - GcsPublisher *gcs_publisher); + pubsub::GcsPublisher *gcs_publisher); void HandleGetClusterResourceState( rpc::autoscaler::GetClusterResourceStateRequest request, @@ -194,7 +194,7 @@ class GcsAutoscalerStateManager : public rpc::autoscaler::AutoscalerStateService instrumented_io_context &io_context_; // A publisher for publishing gcs messages. - GcsPublisher *gcs_publisher_; + pubsub::GcsPublisher *gcs_publisher_; // The default value of the last seen version for the request is 0, which indicates // no version has been reported. So the first reported version should be 1. diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 2d4e93495b85..0ea008ad7ee9 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -23,7 +23,6 @@ #include "absl/strings/match.h" #include "ray/common/protobuf_utils.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/stats/metric.h" #include "ray/util/time.h" diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_server/gcs_job_manager.h index 00b21286a372..095393c960c0 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_server/gcs_job_manager.h @@ -27,7 +27,7 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" @@ -49,12 +49,10 @@ inline std::string JobDataKey(const std::string &submission_id) { using JobFinishListenerCallback = rpc::JobInfoGcsServiceHandler::JobFinishListenerCallback; -class GcsPublisher; - class GcsJobManager : public rpc::JobInfoGcsServiceHandler { public: explicit GcsJobManager(GcsTableStorage &gcs_table_storage, - GcsPublisher &gcs_publisher, + pubsub::GcsPublisher &gcs_publisher, RuntimeEnvManager &runtime_env_manager, GCSFunctionManager &function_manager, InternalKVInterface &internal_kv, @@ -134,7 +132,7 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { int64_t finished_jobs_count_ = 0; GcsTableStorage &gcs_table_storage_; - GcsPublisher &gcs_publisher_; + pubsub::GcsPublisher &gcs_publisher_; /// Listeners which monitors the finish of jobs. std::vector job_finished_listeners_; diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_server/gcs_node_manager.cc index eef85fc4b08b..116c664c017c 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_node_manager.cc @@ -30,8 +30,7 @@ namespace ray { namespace gcs { -////////////////////////////////////////////////////////////////////////////////////////// -GcsNodeManager::GcsNodeManager(GcsPublisher *gcs_publisher, +GcsNodeManager::GcsNodeManager(pubsub::GcsPublisher *gcs_publisher, gcs::GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, rpc::RayletClientPool *raylet_client_pool, diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index b032d2b5662d..1189fd9ce521 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -26,7 +26,7 @@ #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/raylet_client/raylet_client_pool.h" #include "ray/stats/metric_defs.h" #include "ray/util/event.h" @@ -49,7 +49,7 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { /// /// \param gcs_publisher GCS message publisher. /// \param gcs_table_storage GCS table external storage accessor. - GcsNodeManager(GcsPublisher *gcs_publisher, + GcsNodeManager(pubsub::GcsPublisher *gcs_publisher, GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, rpc::RayletClientPool *raylet_client_pool, @@ -262,7 +262,7 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { std::vector)>> node_removed_listeners_; /// A publisher for publishing gcs messages. - GcsPublisher *gcs_publisher_; + pubsub::GcsPublisher *gcs_publisher_; /// Storage for GCS tables. GcsTableStorage *gcs_table_storage_; instrumented_io_context &io_context_; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 6ac9cb8492a5..ee3e1a478acb 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -113,8 +113,8 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, }); }); }), - pubsub_periodical_runner_( - PeriodicalRunner::Create(io_context_provider_.GetIOContext())), + pubsub_periodical_runner_(PeriodicalRunner::Create( + io_context_provider_.GetIOContext())), periodical_runner_( PeriodicalRunner::Create(io_context_provider_.GetDefaultIOContext())), is_started_(false), @@ -171,7 +171,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, /*publish_batch_size_=*/RayConfig::instance().publish_batch_size(), /*publisher_id=*/NodeID::FromRandom()); - gcs_publisher_ = std::make_unique(std::move(inner_publisher)); + gcs_publisher_ = std::make_unique(std::move(inner_publisher)); metrics_agent_client_ = std::make_unique( "127.0.0.1", config_.metrics_agent_port, @@ -626,7 +626,7 @@ void GcsServer::InitKVService() { } void GcsServer::InitPubSubHandler() { - auto &io_context = io_context_provider_.GetIOContext(); + auto &io_context = io_context_provider_.GetIOContext(); pubsub_handler_ = std::make_unique(io_context, *gcs_publisher_); // This service is used to handle long poll requests, so we don't limit active RPCs. diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 6a869ef9369e..9db51a1e976d 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -33,10 +33,10 @@ #include "ray/gcs/gcs_server/pubsub_handler.h" #include "ray/gcs/gcs_server/runtime_env_handler.h" #include "ray/gcs/gcs_server/usage_stats_client.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet_client/raylet_client_pool.h" @@ -247,7 +247,7 @@ class GcsServer { /// The autoscaler state manager. std::unique_ptr gcs_autoscaler_state_manager_; /// A publisher for publishing gcs messages. - std::unique_ptr gcs_publisher_; + std::unique_ptr gcs_publisher_; /// The gcs node manager. std::unique_ptr gcs_node_manager_; /// The health check manager. diff --git a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h b/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h index 5fcc02400a1a..d43dc1086657 100644 --- a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h +++ b/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h @@ -20,7 +20,7 @@ #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/gcs/gcs_server/gcs_task_manager.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" #include "ray/util/array.h" #include "ray/util/type_traits.h" @@ -37,7 +37,7 @@ struct GcsServerIOContextPolicy { static constexpr int GetDedicatedIOContextIndex() { if constexpr (std::is_same_v) { return IndexOf("task_io_context"); - } else if constexpr (std::is_same_v) { + } else if constexpr (std::is_same_v) { return IndexOf("pubsub_io_context"); } else if constexpr (std::is_same_v) { return IndexOf("ray_syncer_io_context"); diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.h b/src/ray/gcs/gcs_server/gcs_worker_manager.h index 0912e625d1e6..a5823283d9f7 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_server/gcs_worker_manager.h @@ -20,7 +20,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/usage_stats_client.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" namespace ray { namespace gcs { @@ -29,7 +29,7 @@ class GcsWorkerManager : public rpc::WorkerInfoGcsServiceHandler { public: GcsWorkerManager(gcs::GcsTableStorage &gcs_table_storage, instrumented_io_context &io_context, - GcsPublisher &gcs_publisher) + pubsub::GcsPublisher &gcs_publisher) : gcs_table_storage_(gcs_table_storage), io_context_(io_context), gcs_publisher_(gcs_publisher) {} @@ -73,7 +73,7 @@ class GcsWorkerManager : public rpc::WorkerInfoGcsServiceHandler { gcs::GcsTableStorage &gcs_table_storage_; instrumented_io_context &io_context_; - GcsPublisher &gcs_publisher_; + pubsub::GcsPublisher &gcs_publisher_; UsageStatsClient *usage_stats_client_; /// Only listens for unexpected worker deaths not expected like node death. diff --git a/src/ray/gcs/gcs_server/pubsub_handler.cc b/src/ray/gcs/gcs_server/pubsub_handler.cc index 51026d4dc0f0..14b0291c6126 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.cc +++ b/src/ray/gcs/gcs_server/pubsub_handler.cc @@ -21,7 +21,7 @@ namespace ray { namespace gcs { InternalPubSubHandler::InternalPubSubHandler(instrumented_io_context &io_service, - gcs::GcsPublisher &gcs_publisher) + pubsub::GcsPublisher &gcs_publisher) : io_service_(io_service), gcs_publisher_(gcs_publisher) {} void InternalPubSubHandler::HandleGcsPublish(rpc::GcsPublishRequest request, diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/gcs_server/pubsub_handler.h index 04a935fd949a..6808c254ef2c 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/gcs_server/pubsub_handler.h @@ -19,7 +19,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/gcs_publisher.h" namespace ray { namespace gcs { @@ -30,7 +30,7 @@ namespace gcs { class InternalPubSubHandler : public rpc::InternalPubSubGcsServiceHandler { public: InternalPubSubHandler(instrumented_io_context &io_service, - gcs::GcsPublisher &gcs_publisher); + pubsub::GcsPublisher &gcs_publisher); void HandleGcsPublish(rpc::GcsPublishRequest request, rpc::GcsPublishReply *reply, @@ -51,7 +51,7 @@ class InternalPubSubHandler : public rpc::InternalPubSubGcsServiceHandler { private: /// Not owning the io service, to allow sharing it with pubsub::Publisher. instrumented_io_context &io_service_; - gcs::GcsPublisher &gcs_publisher_; + pubsub::GcsPublisher &gcs_publisher_; absl::flat_hash_map> sender_to_subscribers_; }; diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc index 104715028a9f..4622270460a2 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -155,7 +155,7 @@ class GcsActorManagerTest : public ::testing::Test { /*subscriber_timeout_ms=*/absl::ToInt64Microseconds(absl::Seconds(30)), /*batch_size=*/100); - gcs_publisher_ = std::make_unique(std::move(publisher)); + gcs_publisher_ = std::make_unique(std::move(publisher)); gcs_table_storage_ = std::make_unique(std::make_unique()); kv_ = std::make_unique(); @@ -262,7 +262,7 @@ class GcsActorManagerTest : public ::testing::Test { std::unique_ptr worker_client_pool_; absl::flat_hash_map job_namespace_table_; std::unique_ptr gcs_actor_manager_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::unique_ptr runtime_env_mgr_; const std::chrono::milliseconds timeout_ms_{2000}; absl::Mutex mutex_; diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index 7ce39262c691..498ba1754e4c 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -43,7 +43,7 @@ class GcsJobManagerTest : public ::testing::Test { }); promise.get_future().get(); - gcs_publisher_ = std::make_shared( + gcs_publisher_ = std::make_shared( std::make_unique()); store_client_ = std::make_shared(); gcs_table_storage_ = std::make_shared(store_client_); @@ -73,7 +73,7 @@ class GcsJobManagerTest : public ::testing::Test { std::unique_ptr thread_io_service_; std::shared_ptr store_client_; std::shared_ptr gcs_table_storage_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::unique_ptr function_manager_; std::unique_ptr kv_; std::unique_ptr fake_kv_; diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc index 209411686a7a..aa9731d2823f 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc @@ -48,7 +48,7 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { [raylet_client = std::move(raylet_client)](const rpc::Address &) { return raylet_client; }); - gcs_publisher_ = std::make_unique( + gcs_publisher_ = std::make_unique( std::make_unique()); gcs_table_storage_ = std::make_unique( std::make_unique()); @@ -78,7 +78,7 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; std::unique_ptr client_pool_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; instrumented_io_context io_service_; std::string log_dir_; }; diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc index 836687f36fcc..1c4a60bff97c 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc @@ -130,7 +130,7 @@ class GcsActorManagerTest : public ::testing::Test { /*subscriber_timeout_ms=*/absl::ToInt64Microseconds(absl::Seconds(30)), /*batch_size=*/100); - gcs_publisher_ = std::make_unique(std::move(publisher)); + gcs_publisher_ = std::make_unique(std::move(publisher)); store_client_ = std::make_shared(); gcs_table_storage_ = std::make_unique(std::make_unique()); @@ -224,7 +224,7 @@ class GcsActorManagerTest : public ::testing::Test { std::unique_ptr worker_client_pool_; absl::flat_hash_map job_namespace_table_; std::unique_ptr gcs_actor_manager_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::unique_ptr runtime_env_mgr_; const std::chrono::milliseconds timeout_ms_{2000}; absl::Mutex mutex_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc index dcbe76cf4955..d891ce55caba 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc @@ -87,7 +87,7 @@ class GcsActorSchedulerTest : public ::testing::Test { raylet_client_pool_ = std::make_shared( [this](const rpc::Address &addr) { return raylet_client_; }); worker_client_ = std::make_shared(); - gcs_publisher_ = std::make_shared( + gcs_publisher_ = std::make_shared( std::make_unique()); store_client_ = std::make_shared(); gcs_table_storage_ = @@ -214,7 +214,7 @@ class GcsActorSchedulerTest : public ::testing::Test { counter; std::vector> failure_actors_; std::vector> success_actors_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::shared_ptr gcs_table_storage_; std::shared_ptr raylet_client_pool_; NodeID local_node_id_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index 0678826f0ac8..ee9f6a320e9a 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -39,7 +39,7 @@ class GcsJobManagerTest : public ::testing::Test { }); promise.get_future().get(); - gcs_publisher_ = std::make_unique( + gcs_publisher_ = std::make_unique( std::make_unique()); store_client_ = std::make_shared(); gcs_table_storage_ = std::make_shared(store_client_); @@ -74,7 +74,7 @@ class GcsJobManagerTest : public ::testing::Test { std::unique_ptr thread_io_service_; std::shared_ptr store_client_; std::shared_ptr gcs_table_storage_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::unique_ptr function_manager_; std::unique_ptr kv_; std::unique_ptr fake_kv_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc index 7086c31bb025..e1ec7cf7398a 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc @@ -33,7 +33,7 @@ class GcsNodeManagerTest : public ::testing::Test { [raylet_client = std::move(raylet_client)](const rpc::Address &) { return raylet_client; }); - gcs_publisher_ = std::make_unique( + gcs_publisher_ = std::make_unique( std::make_unique()); io_context_ = std::make_unique("GcsNodeManagerTest"); } @@ -41,7 +41,7 @@ class GcsNodeManagerTest : public ::testing::Test { protected: std::unique_ptr gcs_table_storage_; std::unique_ptr client_pool_; - std::unique_ptr gcs_publisher_; + std::unique_ptr gcs_publisher_; std::unique_ptr io_context_; }; diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc index 25a0986b0a96..fc0a0dd953fa 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc @@ -82,8 +82,8 @@ class GcsPlacementGroupManagerTest : public ::testing::Test { GcsPlacementGroupManagerTest() : mock_placement_group_scheduler_(new MockPlacementGroupScheduler()), cluster_resource_manager_(io_service_) { - gcs_publisher_ = - std::make_shared(std::make_unique()); + gcs_publisher_ = std::make_shared( + std::make_unique()); gcs_table_storage_ = std::make_unique(std::make_unique()); gcs_node_manager_ = std::make_shared(); @@ -220,7 +220,7 @@ class GcsPlacementGroupManagerTest : public ::testing::Test { ClusterResourceManager cluster_resource_manager_; std::shared_ptr gcs_node_manager_; std::shared_ptr gcs_resource_manager_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; }; TEST_F(GcsPlacementGroupManagerTest, TestPlacementGroupBundleCache) { diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc index 92b8208f410a..f5d9d64cd84c 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc @@ -55,8 +55,8 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { } gcs_table_storage_ = std::make_unique(std::make_unique()); - gcs_publisher_ = - std::make_shared(std::make_unique()); + gcs_publisher_ = std::make_shared( + std::make_unique()); auto local_node_id = NodeID::FromRandom(); cluster_resource_scheduler_ = std::make_shared( io_service_, @@ -300,7 +300,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { ABSL_GUARDED_BY(placement_group_requests_mutex_); std::vector> failure_placement_groups_ ABSL_GUARDED_BY(placement_group_requests_mutex_); - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::shared_ptr gcs_table_storage_; std::unique_ptr raylet_client_pool_; std::shared_ptr> counter_; diff --git a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc index e23fad95e850..4adaa81169b8 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc @@ -28,15 +28,16 @@ #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/gcs.pb.h" -using namespace ::testing; // NOLINT -using namespace ray::gcs; // NOLINT -using namespace ray; // NOLINT +using namespace ::testing; // NOLINT +using namespace ray::gcs; // NOLINT +using namespace ray::pubsub; // NOLINT +using namespace ray; // NOLINT class GcsWorkerManagerTest : public Test { public: GcsWorkerManagerTest() { - gcs_publisher_ = - std::make_shared(std::make_unique()); + gcs_publisher_ = std::make_shared( + std::make_unique()); gcs_table_storage_ = std::make_unique(std::make_unique()); } @@ -74,7 +75,7 @@ class GcsWorkerManagerTest : public Test { std::unique_ptr thread_io_service_; instrumented_io_context io_service_; std::shared_ptr gcs_table_storage_; - std::shared_ptr gcs_publisher_; + std::shared_ptr gcs_publisher_; std::shared_ptr worker_manager_; }; diff --git a/src/ray/gcs/pubsub/BUILD.bazel b/src/ray/gcs/pubsub/BUILD.bazel deleted file mode 100644 index 5512c0ad67a4..000000000000 --- a/src/ray/gcs/pubsub/BUILD.bazel +++ /dev/null @@ -1,14 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "gcs_pub_sub_lib", - srcs = ["gcs_pub_sub.cc"], - hdrs = ["gcs_pub_sub.h"], - deps = [ - "//src/ray/common:gcs_callbacks", - "//src/ray/common:ray_config", - "//src/ray/pubsub:publisher_interface", - "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:gcs_client", - ], -) diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.h b/src/ray/gcs/pubsub/gcs_pub_sub.h deleted file mode 100644 index d6da94965247..000000000000 --- a/src/ray/gcs/pubsub/gcs_pub_sub.h +++ /dev/null @@ -1,169 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include -#include -#include -#include - -#include "absl/synchronization/mutex.h" -#include "ray/common/gcs_callbacks.h" -#include "ray/pubsub/publisher_interface.h" -#include "ray/pubsub/subscriber_interface.h" -#include "src/ray/protobuf/gcs.pb.h" -#include "src/ray/protobuf/gcs_service.grpc.pb.h" - -namespace ray { -namespace gcs { - -/// \class GcsPublisher -/// -/// Supports publishing per-entity data and errors from GCS. Thread safe. -class GcsPublisher { - public: - /// Initializes GcsPublisher with GCS based publishers. - /// Publish*() member functions below would be incrementally converted to use the GCS - /// based publisher, if available. - explicit GcsPublisher(std::unique_ptr publisher) - : publisher_(std::move(publisher)) { - RAY_CHECK(publisher_); - } - - /// Returns the underlying pubsub::Publisher. Caller does not take ownership. - pubsub::PublisherInterface &GetPublisher() const { return *publisher_; } - - /// Each publishing method below publishes to a different "channel". - /// ID is the entity which the message is associated with, e.g. ActorID for Actor data. - /// Subscribers receive typed messages for the ID that they subscribe to. - /// - /// The full stream of NodeResource and Error channels are needed by its subscribers. - /// But for other channels, subscribers should only need the latest data. - /// - /// TODO: Verify GCS pubsub satisfies the streaming semantics. - /// TODO: Implement optimization for channels where only latest data per ID is useful. - - void PublishActor(const ActorID &id, rpc::ActorTableData message); - - void PublishJob(const JobID &id, rpc::JobTableData message); - - void PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message); - - /// Actually rpc::WorkerDeltaData is not a delta message. - void PublishWorkerFailure(const WorkerID &id, rpc::WorkerDeltaData message); - - void PublishError(std::string id, rpc::ErrorTableData message); - - /// Prints debugging info for the publisher. - std::string DebugString() const; - - private: - const std::unique_ptr publisher_; -}; - -/// \class GcsSubscriber -/// -/// Supports subscribing to an entity or a channel from GCS. Thread safe. -class GcsSubscriber { - public: - /// Initializes GcsSubscriber with GCS based GcsSubscribers. - // TODO(mwtian): Support restarted GCS publisher, at the same or a different address. - GcsSubscriber(rpc::Address gcs_address, - std::unique_ptr subscriber) - : gcs_address_(std::move(gcs_address)), subscriber_(std::move(subscriber)) {} - - /// Subscribe*() member functions below would be incrementally converted to use the GCS - /// based subscriber, if available. - /// The `subscribe` callbacks must not be empty. The `done` callbacks can optionally be - /// empty. - - /// Uses GCS pubsub when created with `subscriber`. - Status SubscribeActor(const ActorID &id, - const SubscribeCallback &subscribe, - const StatusCallback &done); - Status UnsubscribeActor(const ActorID &id); - - bool IsActorUnsubscribed(const ActorID &id); - - Status SubscribeAllJobs(const SubscribeCallback &subscribe, - const StatusCallback &done); - - void SubscribeAllNodeInfo(const ItemCallback &subscribe, - const StatusCallback &done); - - Status SubscribeAllWorkerFailures(const ItemCallback &subscribe, - const StatusCallback &done); - - /// Prints debugging info for the subscriber. - std::string DebugString() const; - - private: - const rpc::Address gcs_address_; - const std::unique_ptr subscriber_; -}; - -// This client is only supposed to be used from Cython / Python -class RAY_EXPORT PythonGcsSubscriber { - public: - PythonGcsSubscriber(const std::string &gcs_address, - int gcs_port, - rpc::ChannelType channel_type, - std::string subscriber_id, - std::string worker_id); - - /// Register a subscription for the subscriber's channel type. - /// - /// Before the registration, published messages in the channel - /// will not be saved for the subscriber. - Status Subscribe(); - - /// Polls for new error message. - /// Both key_id and data are out parameters. - Status PollError(std::string *key_id, int64_t timeout_ms, rpc::ErrorTableData *data); - - /// Polls for new log messages. - Status PollLogs(std::string *key_id, int64_t timeout_ms, rpc::LogBatch *data); - - /// Closes the subscriber and its active subscription. - Status Close(); - - int64_t last_batch_size(); - - private: - Status DoPoll(int64_t timeout_ms, rpc::PubMessage *message); - - mutable absl::Mutex mu_; - - std::shared_ptr channel_; - std::unique_ptr pubsub_stub_; - - const rpc::ChannelType channel_type_; - const std::string subscriber_id_; - std::string publisher_id_; - const std::string worker_id_; - int64_t max_processed_sequence_id_ ABSL_GUARDED_BY(mu_) = 0; - int64_t last_batch_size_ ABSL_GUARDED_BY(mu_) = 0; - std::deque queue_ ABSL_GUARDED_BY(mu_); - bool closed_ ABSL_GUARDED_BY(mu_) = false; - std::shared_ptr current_polling_context_ ABSL_GUARDED_BY(mu_); -}; - -/// Get the .lines() attribute of a LogBatch as a std::vector -/// (this is needed so it can be wrapped in Cython) -std::vector PythonGetLogBatchLines(rpc::LogBatch log_batch); - -} // namespace gcs -} // namespace ray diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index b2c5d89e0efb..2fce880c573b 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -54,3 +54,41 @@ ray_cc_library( "@com_google_absl//absl/synchronization", ], ) + +ray_cc_library( + name = "gcs_publisher", + srcs = ["gcs_publisher.cc"], + hdrs = ["gcs_publisher.h"], + deps = [ + ":publisher_interface", + "//src/ray/protobuf:gcs_cc_proto", + ], +) + +ray_cc_library( + name = "gcs_subscriber", + srcs = ["gcs_subscriber.cc"], + hdrs = ["gcs_subscriber.h"], + deps = [ + ":subscriber_interface", + "//src/ray/common:gcs_callbacks", + "//src/ray/protobuf:gcs_cc_proto", + ], +) + +ray_cc_library( + name = "python_gcs_subscriber", + srcs = ["python_gcs_subscriber.cc"], + hdrs = ["python_gcs_subscriber.h"], + implementation_deps = [ + "//src/ray/rpc:gcs_client", + "@com_github_grpc_grpc//:grpc++", + ], + deps = [ + "//src/ray/common:status", + "//src/ray/protobuf:gcs_service_cc_proto", + "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/util:visibility", + "@com_google_absl//absl/synchronization", + ], +) diff --git a/src/ray/pubsub/gcs_publisher.cc b/src/ray/pubsub/gcs_publisher.cc new file mode 100644 index 000000000000..5cd79bdbe5ca --- /dev/null +++ b/src/ray/pubsub/gcs_publisher.cc @@ -0,0 +1,67 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/pubsub/gcs_publisher.h" + +#include +#include + +namespace ray { +namespace pubsub { + +void GcsPublisher::PublishActor(const ActorID &id, rpc::ActorTableData message) { + rpc::PubMessage msg; + msg.set_channel_type(rpc::ChannelType::GCS_ACTOR_CHANNEL); + msg.set_key_id(id.Binary()); + *msg.mutable_actor_message() = std::move(message); + publisher_->Publish(std::move(msg)); +} + +void GcsPublisher::PublishJob(const JobID &id, rpc::JobTableData message) { + rpc::PubMessage msg; + msg.set_channel_type(rpc::ChannelType::GCS_JOB_CHANNEL); + msg.set_key_id(id.Binary()); + *msg.mutable_job_message() = std::move(message); + publisher_->Publish(std::move(msg)); +} + +void GcsPublisher::PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message) { + rpc::PubMessage msg; + msg.set_channel_type(rpc::ChannelType::GCS_NODE_INFO_CHANNEL); + msg.set_key_id(id.Binary()); + *msg.mutable_node_info_message() = std::move(message); + publisher_->Publish(std::move(msg)); +} + +void GcsPublisher::PublishWorkerFailure(const WorkerID &id, + rpc::WorkerDeltaData message) { + rpc::PubMessage msg; + msg.set_channel_type(rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL); + msg.set_key_id(id.Binary()); + *msg.mutable_worker_delta_message() = std::move(message); + publisher_->Publish(std::move(msg)); +} + +void GcsPublisher::PublishError(std::string id, rpc::ErrorTableData message) { + rpc::PubMessage msg; + msg.set_channel_type(rpc::ChannelType::RAY_ERROR_INFO_CHANNEL); + msg.set_key_id(std::move(id)); + *msg.mutable_error_info_message() = std::move(message); + publisher_->Publish(std::move(msg)); +} + +std::string GcsPublisher::DebugString() const { return publisher_->DebugString(); } + +} // namespace pubsub +} // namespace ray diff --git a/src/ray/pubsub/gcs_publisher.h b/src/ray/pubsub/gcs_publisher.h new file mode 100644 index 000000000000..3f1eb8a4b2d5 --- /dev/null +++ b/src/ray/pubsub/gcs_publisher.h @@ -0,0 +1,72 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "ray/pubsub/publisher_interface.h" +#include "src/ray/protobuf/gcs.pb.h" + +namespace ray { +namespace pubsub { + +/// \class GcsPublisher +/// +/// Supports publishing per-entity data and errors from GCS. Thread safe. +class GcsPublisher { + public: + /// Initializes GcsPublisher with GCS based publishers. + /// Publish*() member functions below would be incrementally converted to use the GCS + /// based publisher, if available. + explicit GcsPublisher(std::unique_ptr publisher) + : publisher_(std::move(publisher)) { + RAY_CHECK(publisher_); + } + + /// Returns the underlying pubsub::Publisher. Caller does not take ownership. + pubsub::PublisherInterface &GetPublisher() const { return *publisher_; } + + /// Each publishing method below publishes to a different "channel". + /// ID is the entity which the message is associated with, e.g. ActorID for Actor data. + /// Subscribers receive typed messages for the ID that they subscribe to. + /// + /// The full stream of NodeResource and Error channels are needed by its subscribers. + /// But for other channels, subscribers should only need the latest data. + /// + /// TODO: Verify GCS pubsub satisfies the streaming semantics. + /// TODO: Implement optimization for channels where only latest data per ID is useful. + + void PublishActor(const ActorID &id, rpc::ActorTableData message); + + void PublishJob(const JobID &id, rpc::JobTableData message); + + void PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message); + + /// Actually rpc::WorkerDeltaData is not a delta message. + void PublishWorkerFailure(const WorkerID &id, rpc::WorkerDeltaData message); + + void PublishError(std::string id, rpc::ErrorTableData message); + + /// Prints debugging info for the publisher. + std::string DebugString() const; + + private: + const std::unique_ptr publisher_; +}; + +} // namespace pubsub +} // namespace ray diff --git a/src/ray/pubsub/gcs_subscriber.cc b/src/ray/pubsub/gcs_subscriber.cc new file mode 100644 index 000000000000..f02e5e66e9ea --- /dev/null +++ b/src/ray/pubsub/gcs_subscriber.cc @@ -0,0 +1,144 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/pubsub/gcs_subscriber.h" + +#include +#include +#include + +namespace ray { +namespace pubsub { + +Status GcsSubscriber::SubscribeAllJobs( + const gcs::SubscribeCallback &subscribe, + const gcs::StatusCallback &done) { + auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { + RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_JOB_CHANNEL); + const JobID id = JobID::FromBinary(msg.key_id()); + subscribe(id, std::move(*msg.mutable_job_message())); + }; + auto subscription_failure_callback = [](const std::string &, const Status &status) { + RAY_LOG(WARNING) << "Subscription to Job channel failed: " << status.ToString(); + }; + subscriber_->Subscribe( + std::make_unique(), + rpc::ChannelType::GCS_JOB_CHANNEL, + gcs_address_, + /*key_id=*/std::nullopt, + [done](const Status &status) { + if (done != nullptr) { + done(status); + } + }, + std::move(subscribe_item_callback), + std::move(subscription_failure_callback)); + return Status::OK(); +} + +Status GcsSubscriber::SubscribeActor( + const ActorID &id, + const gcs::SubscribeCallback &subscribe, + const gcs::StatusCallback &done) { + auto subscription_callback = [id, subscribe](rpc::PubMessage &&msg) { + RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_ACTOR_CHANNEL); + RAY_CHECK(msg.key_id() == id.Binary()); + subscribe(id, std::move(*msg.mutable_actor_message())); + }; + auto subscription_failure_callback = [id](const std::string &failed_id, + const Status &status) { + RAY_CHECK(failed_id == id.Binary()); + RAY_LOG(WARNING) << "Subscription to Actor " << id.Hex() + << " failed: " << status.ToString(); + }; + subscriber_->Subscribe( + std::make_unique(), + rpc::ChannelType::GCS_ACTOR_CHANNEL, + gcs_address_, + /*key_id=*/id.Binary(), + [done](const Status &status) { + if (done != nullptr) { + done(status); + } + }, + std::move(subscription_callback), + std::move(subscription_failure_callback)); + return Status::OK(); +} + +Status GcsSubscriber::UnsubscribeActor(const ActorID &id) { + subscriber_->Unsubscribe( + rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary()); + return Status::OK(); +} + +bool GcsSubscriber::IsActorUnsubscribed(const ActorID &id) { + return !subscriber_->IsSubscribed( + rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary()); +} + +void GcsSubscriber::SubscribeAllNodeInfo( + const gcs::ItemCallback &subscribe, + const gcs::StatusCallback &done) { + auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { + RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_NODE_INFO_CHANNEL); + subscribe(std::move(*msg.mutable_node_info_message())); + }; + auto subscription_failure_callback = [](const std::string &, const Status &status) { + RAY_LOG(WARNING) << "Subscription to NodeInfo channel failed: " << status.ToString(); + }; + subscriber_->Subscribe( + std::make_unique(), + rpc::ChannelType::GCS_NODE_INFO_CHANNEL, + gcs_address_, + /*key_id=*/std::nullopt, + [done](const Status &status) { + if (done != nullptr) { + done(status); + } + }, + std::move(subscribe_item_callback), + std::move(subscription_failure_callback)); +} + +Status GcsSubscriber::SubscribeAllWorkerFailures( + const gcs::ItemCallback &subscribe, + const gcs::StatusCallback &done) { + auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { + RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL); + subscribe(std::move(*msg.mutable_worker_delta_message())); + }; + auto subscription_failure_callback = [](const std::string &, const Status &status) { + RAY_LOG(WARNING) << "Subscription to WorkerDelta channel failed: " + << status.ToString(); + }; + // Ignore if the subscription already exists, because the resubscription is intentional. + subscriber_->Subscribe( + std::make_unique(), + rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL, + gcs_address_, + /*key_id=*/std::nullopt, + /*subscribe_done_callback=*/ + [done](const Status &status) { + if (done != nullptr) { + done(status); + } + }, + std::move(subscribe_item_callback), + std::move(subscription_failure_callback)); + return Status::OK(); +} + +} // namespace pubsub +} // namespace ray diff --git a/src/ray/pubsub/gcs_subscriber.h b/src/ray/pubsub/gcs_subscriber.h new file mode 100644 index 000000000000..31dd9a733bd0 --- /dev/null +++ b/src/ray/pubsub/gcs_subscriber.h @@ -0,0 +1,73 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +#include "ray/common/gcs_callbacks.h" +#include "ray/pubsub/subscriber_interface.h" +#include "src/ray/protobuf/gcs.pb.h" + +namespace ray { +namespace pubsub { + +/// \class GcsSubscriber +/// +/// Supports subscribing to an entity or a channel from GCS. Thread safe. +class GcsSubscriber { + public: + /// Initializes GcsSubscriber with GCS based GcsSubscribers. + // TODO(mwtian): Support restarted GCS publisher, at the same or a different address. + GcsSubscriber(rpc::Address gcs_address, + std::unique_ptr subscriber) + : gcs_address_(std::move(gcs_address)), subscriber_(std::move(subscriber)) {} + + /// Subscribe*() member functions below would be incrementally converted to use the GCS + /// based subscriber, if available. + /// The `subscribe` callbacks must not be empty. The `done` callbacks can optionally be + /// empty. + + /// Uses GCS pubsub when created with `subscriber`. + Status SubscribeActor( + const ActorID &id, + const gcs::SubscribeCallback &subscribe, + const gcs::StatusCallback &done); + Status UnsubscribeActor(const ActorID &id); + + bool IsActorUnsubscribed(const ActorID &id); + + Status SubscribeAllJobs( + const gcs::SubscribeCallback &subscribe, + const gcs::StatusCallback &done); + + void SubscribeAllNodeInfo(const gcs::ItemCallback &subscribe, + const gcs::StatusCallback &done); + + Status SubscribeAllWorkerFailures( + const gcs::ItemCallback &subscribe, + const gcs::StatusCallback &done); + + /// Prints debugging info for the subscriber. + std::string DebugString() const; + + private: + const rpc::Address gcs_address_; + const std::unique_ptr subscriber_; +}; + +} // namespace pubsub +} // namespace ray diff --git a/src/ray/gcs/pubsub/gcs_pub_sub.cc b/src/ray/pubsub/python_gcs_subscriber.cc similarity index 51% rename from src/ray/gcs/pubsub/gcs_pub_sub.cc rename to src/ray/pubsub/python_gcs_subscriber.cc index 12fd6a767f09..d50628b4713d 100644 --- a/src/ray/gcs/pubsub/gcs_pub_sub.cc +++ b/src/ray/pubsub/python_gcs_subscriber.cc @@ -1,4 +1,4 @@ -// Copyright 2017 The Ray Authors. +// Copyright 2025 The Ray Authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -12,7 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/pubsub/gcs_pub_sub.h" +#include "ray/pubsub/python_gcs_subscriber.h" + +#include #include #include @@ -22,170 +24,7 @@ #include "ray/rpc/gcs/gcs_rpc_client.h" namespace ray { -namespace gcs { - -void GcsPublisher::PublishActor(const ActorID &id, rpc::ActorTableData message) { - rpc::PubMessage msg; - msg.set_channel_type(rpc::ChannelType::GCS_ACTOR_CHANNEL); - msg.set_key_id(id.Binary()); - *msg.mutable_actor_message() = std::move(message); - publisher_->Publish(std::move(msg)); -} - -void GcsPublisher::PublishJob(const JobID &id, rpc::JobTableData message) { - rpc::PubMessage msg; - msg.set_channel_type(rpc::ChannelType::GCS_JOB_CHANNEL); - msg.set_key_id(id.Binary()); - *msg.mutable_job_message() = std::move(message); - publisher_->Publish(std::move(msg)); -} - -void GcsPublisher::PublishNodeInfo(const NodeID &id, rpc::GcsNodeInfo message) { - rpc::PubMessage msg; - msg.set_channel_type(rpc::ChannelType::GCS_NODE_INFO_CHANNEL); - msg.set_key_id(id.Binary()); - *msg.mutable_node_info_message() = std::move(message); - publisher_->Publish(std::move(msg)); -} - -void GcsPublisher::PublishWorkerFailure(const WorkerID &id, - rpc::WorkerDeltaData message) { - rpc::PubMessage msg; - msg.set_channel_type(rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL); - msg.set_key_id(id.Binary()); - *msg.mutable_worker_delta_message() = std::move(message); - publisher_->Publish(std::move(msg)); -} - -void GcsPublisher::PublishError(std::string id, rpc::ErrorTableData message) { - rpc::PubMessage msg; - msg.set_channel_type(rpc::ChannelType::RAY_ERROR_INFO_CHANNEL); - msg.set_key_id(std::move(id)); - *msg.mutable_error_info_message() = std::move(message); - publisher_->Publish(std::move(msg)); -} - -std::string GcsPublisher::DebugString() const { return publisher_->DebugString(); } - -Status GcsSubscriber::SubscribeAllJobs( - const SubscribeCallback &subscribe, - const StatusCallback &done) { - // GCS subscriber. - auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { - RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_JOB_CHANNEL); - const JobID id = JobID::FromBinary(msg.key_id()); - subscribe(id, std::move(*msg.mutable_job_message())); - }; - auto subscription_failure_callback = [](const std::string &, const Status &status) { - RAY_LOG(WARNING) << "Subscription to Job channel failed: " << status.ToString(); - }; - subscriber_->Subscribe( - std::make_unique(), - rpc::ChannelType::GCS_JOB_CHANNEL, - gcs_address_, - /*key_id=*/std::nullopt, - [done](const Status &status) { - if (done != nullptr) { - done(status); - } - }, - std::move(subscribe_item_callback), - std::move(subscription_failure_callback)); - return Status::OK(); -} - -Status GcsSubscriber::SubscribeActor( - const ActorID &id, - const SubscribeCallback &subscribe, - const StatusCallback &done) { - // GCS subscriber. - auto subscription_callback = [id, subscribe](rpc::PubMessage &&msg) { - RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_ACTOR_CHANNEL); - RAY_CHECK(msg.key_id() == id.Binary()); - subscribe(id, std::move(*msg.mutable_actor_message())); - }; - auto subscription_failure_callback = [id](const std::string &failed_id, - const Status &status) { - RAY_CHECK(failed_id == id.Binary()); - RAY_LOG(WARNING) << "Subscription to Actor " << id.Hex() - << " failed: " << status.ToString(); - }; - subscriber_->Subscribe( - std::make_unique(), - rpc::ChannelType::GCS_ACTOR_CHANNEL, - gcs_address_, - /*key_id=*/id.Binary(), - [done](const Status &status) { - if (done != nullptr) { - done(status); - } - }, - std::move(subscription_callback), - std::move(subscription_failure_callback)); - return Status::OK(); -} - -Status GcsSubscriber::UnsubscribeActor(const ActorID &id) { - subscriber_->Unsubscribe( - rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary()); - return Status::OK(); -} - -bool GcsSubscriber::IsActorUnsubscribed(const ActorID &id) { - return !subscriber_->IsSubscribed( - rpc::ChannelType::GCS_ACTOR_CHANNEL, gcs_address_, id.Binary()); -} - -void GcsSubscriber::SubscribeAllNodeInfo(const ItemCallback &subscribe, - const StatusCallback &done) { - // GCS subscriber. - auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { - RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_NODE_INFO_CHANNEL); - subscribe(std::move(*msg.mutable_node_info_message())); - }; - auto subscription_failure_callback = [](const std::string &, const Status &status) { - RAY_LOG(WARNING) << "Subscription to NodeInfo channel failed: " << status.ToString(); - }; - subscriber_->Subscribe( - std::make_unique(), - rpc::ChannelType::GCS_NODE_INFO_CHANNEL, - gcs_address_, - /*key_id=*/std::nullopt, - [done](const Status &status) { - if (done != nullptr) { - done(status); - } - }, - std::move(subscribe_item_callback), - std::move(subscription_failure_callback)); -} - -Status GcsSubscriber::SubscribeAllWorkerFailures( - const ItemCallback &subscribe, const StatusCallback &done) { - auto subscribe_item_callback = [subscribe](rpc::PubMessage &&msg) { - RAY_CHECK(msg.channel_type() == rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL); - subscribe(std::move(*msg.mutable_worker_delta_message())); - }; - auto subscription_failure_callback = [](const std::string &, const Status &status) { - RAY_LOG(WARNING) << "Subscription to WorkerDelta channel failed: " - << status.ToString(); - }; - // Ignore if the subscription already exists, because the resubscription is intentional. - subscriber_->Subscribe( - std::make_unique(), - rpc::ChannelType::GCS_WORKER_DELTA_CHANNEL, - gcs_address_, - /*key_id=*/std::nullopt, - /*subscribe_done_callback=*/ - [done](const Status &status) { - if (done != nullptr) { - done(status); - } - }, - std::move(subscribe_item_callback), - std::move(subscription_failure_callback)); - return Status::OK(); -} +namespace pubsub { std::vector PythonGetLogBatchLines(rpc::LogBatch log_batch) { return std::vector( @@ -356,5 +195,5 @@ int64_t PythonGcsSubscriber::last_batch_size() { return last_batch_size_; } -} // namespace gcs +} // namespace pubsub } // namespace ray diff --git a/src/ray/pubsub/python_gcs_subscriber.h b/src/ray/pubsub/python_gcs_subscriber.h new file mode 100644 index 000000000000..5fe4eda29812 --- /dev/null +++ b/src/ray/pubsub/python_gcs_subscriber.h @@ -0,0 +1,90 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include + +#include "absl/synchronization/mutex.h" +#include "ray/common/status.h" +#include "ray/util/visibility.h" +#include "src/ray/protobuf/gcs_service.grpc.pb.h" +#include "src/ray/protobuf/pubsub.pb.h" + +// Use forward declarations to avoid exposing heavyweight gRPC headers. +namespace grpc { + +class Channel; +class ClientContext; + +} // namespace grpc + +namespace ray { +namespace pubsub { + +// This client is only supposed to be used from Cython / Python +class RAY_EXPORT PythonGcsSubscriber { + public: + PythonGcsSubscriber(const std::string &gcs_address, + int gcs_port, + rpc::ChannelType channel_type, + std::string subscriber_id, + std::string worker_id); + + /// Register a subscription for the subscriber's channel type. + /// + /// Before the registration, published messages in the channel + /// will not be saved for the subscriber. + Status Subscribe(); + + /// Polls for new error message. + /// Both key_id and data are out parameters. + Status PollError(std::string *key_id, int64_t timeout_ms, rpc::ErrorTableData *data); + + /// Polls for new log messages. + Status PollLogs(std::string *key_id, int64_t timeout_ms, rpc::LogBatch *data); + + /// Closes the subscriber and its active subscription. + Status Close(); + + int64_t last_batch_size(); + + private: + Status DoPoll(int64_t timeout_ms, rpc::PubMessage *message); + + mutable absl::Mutex mu_; + + std::shared_ptr channel_; + std::unique_ptr pubsub_stub_; + + const rpc::ChannelType channel_type_; + const std::string subscriber_id_; + std::string publisher_id_; + const std::string worker_id_; + int64_t max_processed_sequence_id_ ABSL_GUARDED_BY(mu_) = 0; + int64_t last_batch_size_ ABSL_GUARDED_BY(mu_) = 0; + std::deque queue_ ABSL_GUARDED_BY(mu_); + bool closed_ ABSL_GUARDED_BY(mu_) = false; + std::shared_ptr current_polling_context_ ABSL_GUARDED_BY(mu_); +}; + +/// Get the .lines() attribute of a LogBatch as a std::vector +/// (this is needed so it can be wrapped in Cython) +std::vector PythonGetLogBatchLines(rpc::LogBatch log_batch); + +} // namespace pubsub +} // namespace ray From 5ac6c4c9cc3c47b47738d1b45dfaeda3d9696836 Mon Sep 17 00:00:00 2001 From: Potato Date: Thu, 4 Sep 2025 01:05:56 +0800 Subject: [PATCH 1008/1566] [DOC] docs: Fix typos, grammar, and syntax issues in Ray Tune documentation (#56132) This PR addresses various documentation issues found across 56 Ray Tune documentation files, including typos, grammatical errors, syntax problems, and inconsistencies. The changes focus on improving clarity and correctness while maintaining the original structure and meaning of the content. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/tune/api/api.rst | 2 +- doc/source/tune/api/env.rst | 4 ++-- doc/source/tune/api/logging.rst | 2 +- doc/source/tune/api/schedulers.rst | 2 +- doc/source/tune/examples/index.rst | 2 +- doc/source/tune/faq.rst | 8 ++++---- doc/source/tune/getting-started.rst | 10 +++++----- doc/source/tune/index.rst | 4 ++-- doc/source/tune/key-concepts.rst | 6 +++--- doc/source/tune/tutorials/tune-search-spaces.rst | 2 +- doc/source/tune/tutorials/tune_get_data_in_and_out.md | 4 ++-- 11 files changed, 23 insertions(+), 23 deletions(-) diff --git a/doc/source/tune/api/api.rst b/doc/source/tune/api/api.rst index 2a352e01d37d..3c446bca6fc3 100644 --- a/doc/source/tune/api/api.rst +++ b/doc/source/tune/api/api.rst @@ -6,7 +6,7 @@ Ray Tune API .. tip:: We'd love to hear your feedback on using Tune - `get in touch `_! This section contains a reference for the Tune API. If there is anything missing, please open an issue -on `Github`_. +on `GitHub`_. .. _`GitHub`: https://github.com/ray-project/ray/issues diff --git a/doc/source/tune/api/env.rst b/doc/source/tune/api/env.rst index 513044fc1371..a26e691df1f2 100644 --- a/doc/source/tune/api/env.rst +++ b/doc/source/tune/api/env.rst @@ -63,10 +63,10 @@ These are the environment variables Ray Tune currently considers: but never longer than this value. Defaults to 100 (seconds). * **TUNE_RESULT_BUFFER_MIN_TIME_S**: Additionally, you can specify a minimum time to buffer results. Defaults to 0. * **TUNE_WARN_THRESHOLD_S**: Threshold for logging if an Tune event loop operation takes too long. Defaults to 0.5 (seconds). -* **TUNE_WARN_INSUFFICENT_RESOURCE_THRESHOLD_S**: Threshold for throwing a warning if no active trials are in ``RUNNING`` state +* **TUNE_WARN_INSUFFICIENT_RESOURCE_THRESHOLD_S**: Threshold for throwing a warning if no active trials are in ``RUNNING`` state for this amount of seconds. If the Ray Tune job is stuck in this state (most likely due to insufficient resources), the warning message is printed repeatedly every this amount of seconds. Defaults to 60 (seconds). -* **TUNE_WARN_INSUFFICENT_RESOURCE_THRESHOLD_S_AUTOSCALER**: Threshold for throwing a warning when the autoscaler is enabled and +* **TUNE_WARN_INSUFFICIENT_RESOURCE_THRESHOLD_S_AUTOSCALER**: Threshold for throwing a warning when the autoscaler is enabled and if no active trials are in ``RUNNING`` state for this amount of seconds. If the Ray Tune job is stuck in this state (most likely due to insufficient resources), the warning message is printed repeatedly every this amount of seconds. Defaults to 60 (seconds). diff --git a/doc/source/tune/api/logging.rst b/doc/source/tune/api/logging.rst index f8692a19b2d0..2ef841929056 100644 --- a/doc/source/tune/api/logging.rst +++ b/doc/source/tune/api/logging.rst @@ -97,7 +97,7 @@ Aim Integration Tune also provides a logger for the `Aim `_ experiment tracker. You can install Aim via ``pip install aim``. -See the :doc:`tutorial here ` +See the :doc:`tutorial here `. .. autosummary:: :nosignatures: diff --git a/doc/source/tune/api/schedulers.rst b/doc/source/tune/api/schedulers.rst index 74a44fa826d8..d451d4591b0c 100644 --- a/doc/source/tune/api/schedulers.rst +++ b/doc/source/tune/api/schedulers.rst @@ -44,7 +44,7 @@ setting the ``scheduler`` parameter of ``tune.TuneConfig``, which is taken in by .. code-block:: python from ray import tune - from tune.schedulers import ASHAScheduler + from ray.tune.schedulers import ASHAScheduler asha_scheduler = ASHAScheduler( time_attr='training_iteration', diff --git a/doc/source/tune/examples/index.rst b/doc/source/tune/examples/index.rst index 121e3e47d77e..0de91b153247 100644 --- a/doc/source/tune/examples/index.rst +++ b/doc/source/tune/examples/index.rst @@ -9,7 +9,7 @@ Ray Tune Examples See :ref:`tune-main` to learn more about Tune features. -Below are examples for using Ray Tune for a variety use cases and sorted by categories: +Below are examples for using Ray Tune for a variety of use cases and sorted by categories: * `ML frameworks`_ * `Experiment tracking tools`_ diff --git a/doc/source/tune/faq.rst b/doc/source/tune/faq.rst index 7e3ec9b8bc44..0268caa2f6d8 100644 --- a/doc/source/tune/faq.rst +++ b/doc/source/tune/faq.rst @@ -116,7 +116,7 @@ For **layer sizes** we also suggest trying **powers of 2**. For small problems For **discount factors** in reinforcement learning we suggest sampling uniformly between 0.9 and 1.0. Depending on the problem, a much stricter range above 0.97 -or oeven above 0.99 can make sense (e.g. for Atari). +or even above 0.99 can make sense (e.g. for Atari). How can I use nested/conditional search spaces? @@ -295,7 +295,7 @@ Why is my training stuck and Ray reporting that pending actor or tasks cannot be This is usually caused by Ray actors or tasks being started by the trainable without the trainable resources accounting for them, leading to a deadlock. -This can also be "stealthly" caused by using other libraries in the trainable that are +This can also be "stealthily" caused by using other libraries in the trainable that are based on Ray, such as Modin. In order to fix the issue, request additional resources for the trial using :ref:`placement groups `, as outlined in the section above. @@ -490,7 +490,7 @@ on your machine first to avoid any obvious mistakes. How can I get started contributing to Tune? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We use Github to track issues, feature requests, and bugs. Take a look at the +We use GitHub to track issues, feature requests, and bugs. Take a look at the ones labeled `"good first issue" `__ and `"help wanted" `__ for a place to start. Look for issues with "[tune]" in the title. @@ -674,7 +674,7 @@ running at a time. A symptom was when trials from job A used parameters specifie leading to unexpected results. Please refer to -[this github issue](https://github.com/ray-project/ray/issues/30091#issuecomment-1431676976) +`this GitHub issue `__ for more context and a workaround if you run into this issue. .. _tune-iterative-experimentation: diff --git a/doc/source/tune/getting-started.rst b/doc/source/tune/getting-started.rst index b5321ffbe3bc..9264662589d3 100644 --- a/doc/source/tune/getting-started.rst +++ b/doc/source/tune/getting-started.rst @@ -19,7 +19,7 @@ To run this example, you will need to install the following: $ pip install "ray[tune]" torch torchvision -Setting Up a Pytorch Model to Tune +Setting Up a PyTorch Model to Tune ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ To start off, let's first import some dependencies. @@ -44,7 +44,7 @@ connected layer, and a softmax function. :start-after: __model_def_begin__ :end-before: __model_def_end__ -Below, we have implemented functions for training and evaluating your Pytorch model. +Below, we have implemented functions for training and evaluating your PyTorch model. We define a ``train`` and a ``test`` function for that purpose. If you know how to do this, skip ahead to the next section. @@ -60,7 +60,7 @@ If you know how to do this, skip ahead to the next section. Setting up a ``Tuner`` for a Training Run with Tune ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Below, we define a function that trains the Pytorch model for multiple epochs. +Below, we define a function that trains the PyTorch model for multiple epochs. This function will be executed on a separate :ref:`Ray Actor (process) ` underneath the hood, so we need to communicate the performance of the model back to Tune (which is on the main Python process). @@ -150,7 +150,7 @@ Note that each library has a specific way of defining the search space. Evaluating Your Model after Tuning ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -You can evaluate best trained model using the :ref:`ExperimentAnalysis object ` to retrieve the best model: +You can evaluate the best trained model using the :ref:`ExperimentAnalysis object ` to retrieve the best model: .. literalinclude:: /../../python/ray/tune/tests/tutorial.py :language: python @@ -163,5 +163,5 @@ Next Steps * Check out the :ref:`Tune tutorials ` for guides on using Tune with your preferred machine learning library. * Browse our :ref:`gallery of examples ` to see how to use Tune with PyTorch, XGBoost, Tensorflow, etc. -* `Let us know `__ if you ran into issues or have any questions by opening an issue on our Github. +* `Let us know `__ if you ran into issues or have any questions by opening an issue on our GitHub. * To check how your application is doing, you can use the :ref:`Ray dashboard `. diff --git a/doc/source/tune/index.rst b/doc/source/tune/index.rst index 56537bcf4725..264a402cb54e 100644 --- a/doc/source/tune/index.rst +++ b/doc/source/tune/index.rst @@ -31,7 +31,7 @@ Tune further integrates with a wide range of additional hyperparameter optimizat In this quick-start example you `minimize` a simple function of the form ``f(x) = a**2 + b``, our `objective` function. The closer ``a`` is to zero and the smaller ``b`` is, the smaller the total value of ``f(x)``. - We will define a so-called `search space` for ``a`` and ``b`` and let Ray Tune explore the space for good values. + We will define a so-called `search space` for ``a`` and ``b`` and let Ray Tune explore the space for good values. .. callout:: @@ -261,7 +261,7 @@ Feel free to submit a pull-request adding (or requesting a removal!) of a listed - `Softlearning `_: Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm. - `Flambe `_: An ML framework to accelerate research and its path to production. See `flambe.ai `_. -- `Population Based Augmentation `_: Population Based Augmentation (PBA) is a algorithm that quickly and efficiently learns data augmentation functions for neural network training. PBA matches state-of-the-art results on CIFAR with one thousand times less compute. +- `Population Based Augmentation `_: Population Based Augmentation (PBA) is an algorithm that quickly and efficiently learns data augmentation functions for neural network training. PBA matches state-of-the-art results on CIFAR with one thousand times less compute. - `Fast AutoAugment by Kakao `_: Fast AutoAugment (Accepted at NeurIPS 2019) learns augmentation policies using a more efficient search strategy based on density matching. - `Allentune `_: Hyperparameter Search for AllenNLP from AllenAI. - `machinable `_: A modular configuration system for machine learning research. See `machinable.org `_. diff --git a/doc/source/tune/key-concepts.rst b/doc/source/tune/key-concepts.rst index 1bd43ae963cb..76d5802d124b 100644 --- a/doc/source/tune/key-concepts.rst +++ b/doc/source/tune/key-concepts.rst @@ -42,7 +42,7 @@ Given concrete choices for ``a``, ``b`` and ``x`` we can evaluate the objective .. tab-item:: Function API - With the :ref:`the function-based API ` you create a function (here called ``trainable``) that + With the :ref:`function-based API ` you create a function (here called ``trainable``) that takes in a dictionary of hyperparameters. This function computes a ``score`` in a "training loop" and `reports` this score back to Tune: @@ -238,7 +238,7 @@ Tune also provides helpful utilities to use with Search Algorithms: * :ref:`limiter`: Limits the amount of concurrent trials when running optimization. * :ref:`shim`: Allows creation of the search algorithm object given a string. -Note that in the example above we tell Tune to ``stop`` after ``20`` training iterations. +Note that in the example above we tell Tune to ``stop`` after ``20`` training iterations. This way of stopping trials with explicit rules is useful, but in many cases we can do even better with `schedulers`. @@ -256,7 +256,7 @@ passes through the trials selected by your search algorithm in the order they we In short, schedulers can stop, pause, or tweak the hyperparameters of running trials, potentially making your hyperparameter tuning process much faster. -Unlike search algorithms, :ref:`Trial Scheduler ` do not select which hyperparameter +Unlike search algorithms, :ref:`Trial Schedulers ` do not select which hyperparameter configurations to evaluate. Here's a quick example of using the so-called ``HyperBand`` scheduler to tune an experiment. diff --git a/doc/source/tune/tutorials/tune-search-spaces.rst b/doc/source/tune/tutorials/tune-search-spaces.rst index 3a8eba780c0c..f3707fa80ac1 100644 --- a/doc/source/tune/tutorials/tune-search-spaces.rst +++ b/doc/source/tune/tutorials/tune-search-spaces.rst @@ -59,7 +59,7 @@ If ``grid_search`` is provided as an argument, the *same* grid will be repeated tuner.fit() # 3 different configs. - tuner = tune.Tuner(trainable, tune_config=tune.TuneConfig(num_samples=1), param_space={"x": grid_search([1, 2, 3])}) + tuner = tune.Tuner(trainable, tune_config=tune.TuneConfig(num_samples=1), param_space={"x": tune.grid_search([1, 2, 3])}) tuner.fit() # 6 different configs. diff --git a/doc/source/tune/tutorials/tune_get_data_in_and_out.md b/doc/source/tune/tutorials/tune_get_data_in_and_out.md index ef7fc2d15c38..b255c29c581d 100644 --- a/doc/source/tune/tutorials/tune_get_data_in_and_out.md +++ b/doc/source/tune/tutorials/tune_get_data_in_and_out.md @@ -318,7 +318,7 @@ def training_function(config, data): start_epoch = 0 if checkpoint: with checkpoint.as_directory() as checkpoint_dir: - with open(os.path.join(checkpoint_dir, "model.pkl"), "w") as f: + with open(os.path.join(checkpoint_dir, "model.pkl"), "rb") as f: checkpoint_dict = pickle.load(f) start_epoch = checkpoint_dict["epoch"] + 1 model = checkpoint_dict["state"] @@ -335,7 +335,7 @@ def training_function(config, data): # Create the checkpoint. with tempfile.TemporaryDirectory() as temp_checkpoint_dir: - with open(os.path.join(temp_checkpoint_dir, "model.pkl"), "w") as f: + with open(os.path.join(temp_checkpoint_dir, "model.pkl"), "wb") as f: pickle.dump(checkpoint_dict, f) tune.report( {"metric": metric}, From 0d6d6da2ac7c44ba9a31926b10e375bd8aede8d7 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 3 Sep 2025 12:49:25 -0500 Subject: [PATCH 1009/1566] [core] Move core worker gRPC service definition to `core_worker/` (#56197) - Moves the service definition to `core_worker/`. No need for this to be in a common directory because core worker is the only implementer. - Matches the format of the GCS service definitions. - Removed unnecessary macro indirection and split `.h` & `.cc` files. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 20 +- src/ray/core_worker/core_worker.h | 11 -- src/ray/core_worker/core_worker_process.cc | 3 +- src/ray/core_worker/core_worker_process.h | 1 + src/ray/core_worker/grpc_service.cc | 118 ++++++++++++ src/ray/core_worker/grpc_service.h | 174 ++++++++++++++++++ src/ray/core_worker/tests/BUILD.bazel | 1 + src/ray/core_worker/tests/core_worker_test.cc | 4 +- src/ray/rpc/BUILD.bazel | 13 -- src/ray/rpc/grpc_server.h | 6 - src/ray/rpc/worker/core_worker_server.h | 141 -------------- 11 files changed, 318 insertions(+), 174 deletions(-) create mode 100644 src/ray/core_worker/grpc_service.cc create mode 100644 src/ray/core_worker/grpc_service.h delete mode 100644 src/ray/rpc/worker/core_worker_server.h diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 3e10d3417158..0c72ff982e03 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -26,6 +26,7 @@ ray_cc_library( ":experimental_mutable_object_provider", ":future_resolver", ":generator_waiter", + ":grpc_service", ":memory_store", ":object_recovery_manager", ":plasma_store_provider", @@ -46,7 +47,6 @@ ray_cc_library( "//src/ray/pubsub:subscriber", "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:core_worker_server", "//src/ray/rpc:metrics_agent_client", "//src/ray/stats:stats_lib", "//src/ray/util:container_util", @@ -65,6 +65,24 @@ ray_cc_library( ], ) +ray_cc_library( + name = "grpc_service", + srcs = [ + "grpc_service.cc", + ], + hdrs = [ + "grpc_service.h", + ], + visibility = [":__subpackages__"], + deps = [ + "//src/ray/common:asio", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/rpc:grpc_server", + "//src/ray/rpc:server_call", + ], +) + ray_cc_library( name = "shutdown_coordinator", srcs = [ diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 480f11752972..b5f07f4e8505 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -53,21 +53,10 @@ #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet_client/raylet_client_interface.h" -#include "ray/rpc/worker/core_worker_server.h" #include "ray/util/process.h" #include "ray/util/shared_lru.h" #include "src/ray/protobuf/pubsub.pb.h" -/// The set of gRPC handlers and their associated level of concurrency. If you want to -/// add a new call to the worker gRPC server, do the following: -/// 1) Add the rpc to the CoreWorkerService in core_worker.proto, e.g., "ExampleCall" -/// 2) Add a new macro to RAY_CORE_WORKER_DECLARE_RPC_HANDLERS -/// in core_worker_server.h, -// e.g. "DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(ExampleCall)" -/// 3) Add a new macro to RAY_CORE_WORKER_RPC_HANDLERS in core_worker_server.h, e.g. -/// "RPC_SERVICE_HANDLER(CoreWorkerService, ExampleCall, 1)" -/// 4) Add a method to the CoreWorker class below: "CoreWorker::HandleExampleCall" - namespace ray::core { JobID GetProcessJobID(const CoreWorkerOptions &options); diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 844df982b32a..57c4e217a1a9 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -255,7 +255,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // Start RPC server after all the task receivers are properly initialized and we have // our assigned port from the raylet. core_worker_server->RegisterService( - std::make_unique(io_service_, *service_handler_), + std::make_unique( + io_service_, *service_handler_, /*max_active_rpcs_per_handler_=*/-1), false /* token_auth */); core_worker_server->Run(); diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index f516315e3aa2..dd8536e3963b 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -19,6 +19,7 @@ #include #include "ray/core_worker/core_worker_options.h" +#include "ray/core_worker/grpc_service.h" #include "ray/rpc/metrics_agent_client.h" #include "ray/util/mutex_protected.h" diff --git a/src/ray/core_worker/grpc_service.cc b/src/ray/core_worker/grpc_service.cc new file mode 100644 index 000000000000..128fb3cd72c9 --- /dev/null +++ b/src/ray/core_worker/grpc_service.cc @@ -0,0 +1,118 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/grpc_service.h" + +#include +#include + +namespace ray { +namespace rpc { + +void CoreWorkerGrpcService::InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) { + /// TODO(vitsai): Remove this when auth is implemented for node manager. + /// Disable gRPC server metrics since it incurs too high cardinality. + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, PushTask, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + ActorCallArgWaitComplete, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + RayletNotifyGCSRestart, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + GetObjectStatus, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + WaitForActorRefDeleted, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + PubsubLongPolling, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + PubsubCommandBatch, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + UpdateObjectLocationBatch, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + GetObjectLocationsOwner, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + ReportGeneratorItemReturns, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, KillActor, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, CancelTask, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + RemoteCancelTask, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + RegisterMutableObjectReader, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + GetCoreWorkerStats, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, LocalGC, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, DeleteObjects, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, SpillObjects, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + RestoreSpilledObjects, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + DeleteSpilledObjects, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + PlasmaObjectReady, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( + CoreWorkerService, Exit, max_active_rpcs_per_handler_, AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + AssignObjectOwner, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + NumPendingTasks, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); + RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED(CoreWorkerService, + FreeActorObject, + max_active_rpcs_per_handler_, + AuthType::NO_AUTH); +} + +} // namespace rpc +} // namespace ray diff --git a/src/ray/core_worker/grpc_service.h b/src/ray/core_worker/grpc_service.h new file mode 100644 index 000000000000..fdb2b09fe2c7 --- /dev/null +++ b/src/ray/core_worker/grpc_service.h @@ -0,0 +1,174 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/* + * This file defines the gRPC service handlers for the core worker server. + * + * core_worker_process should be the only user of this target. If other classes need the + * CoreWorkerInterface in the future, split it into its own target that does not include + * the heavyweight gRPC headers.. + * + * To add a new RPC handler: + * - Update core_worker.proto. + * - Add a virtual method to CoreWorkerService. + * - Initialize the handler for the method in InitServerCallFactories. + * - Implement the method in core_worker. + */ + +#pragma once + +#include +#include + +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/rpc/grpc_server.h" +#include "ray/rpc/server_call.h" +#include "src/ray/protobuf/core_worker.grpc.pb.h" +#include "src/ray/protobuf/core_worker.pb.h" + +namespace ray { +namespace rpc { + +class CoreWorkerServiceHandler : public DelayedServiceHandler { + public: + /// Blocks until the service is ready to serve RPCs. + virtual void WaitUntilInitialized() = 0; + + virtual void HandlePushTask(PushTaskRequest request, + PushTaskReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleActorCallArgWaitComplete(ActorCallArgWaitCompleteRequest request, + ActorCallArgWaitCompleteReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRayletNotifyGCSRestart(RayletNotifyGCSRestartRequest request, + RayletNotifyGCSRestartReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetObjectStatus(GetObjectStatusRequest request, + GetObjectStatusReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleWaitForActorRefDeleted(WaitForActorRefDeletedRequest request, + WaitForActorRefDeletedReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandlePubsubLongPolling(PubsubLongPollingRequest request, + PubsubLongPollingReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandlePubsubCommandBatch(PubsubCommandBatchRequest request, + PubsubCommandBatchReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleUpdateObjectLocationBatch(UpdateObjectLocationBatchRequest request, + UpdateObjectLocationBatchReply *reply, + SendReplyCallback send_reply_callback) = 0; + virtual void HandleGetObjectLocationsOwner(GetObjectLocationsOwnerRequest request, + GetObjectLocationsOwnerReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleReportGeneratorItemReturns( + ReportGeneratorItemReturnsRequest request, + ReportGeneratorItemReturnsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleKillActor(KillActorRequest request, + KillActorReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleCancelTask(CancelTaskRequest request, + CancelTaskReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRemoteCancelTask(RemoteCancelTaskRequest request, + RemoteCancelTaskReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRegisterMutableObjectReader( + RegisterMutableObjectReaderRequest request, + RegisterMutableObjectReaderReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleGetCoreWorkerStats(GetCoreWorkerStatsRequest request, + GetCoreWorkerStatsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleLocalGC(LocalGCRequest request, + LocalGCReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleDeleteObjects(DeleteObjectsRequest request, + DeleteObjectsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleSpillObjects(SpillObjectsRequest request, + SpillObjectsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleRestoreSpilledObjects(RestoreSpilledObjectsRequest request, + RestoreSpilledObjectsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleDeleteSpilledObjects(DeleteSpilledObjectsRequest request, + DeleteSpilledObjectsReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandlePlasmaObjectReady(PlasmaObjectReadyRequest request, + PlasmaObjectReadyReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleExit(ExitRequest request, + ExitReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleAssignObjectOwner(AssignObjectOwnerRequest request, + AssignObjectOwnerReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleNumPendingTasks(NumPendingTasksRequest request, + NumPendingTasksReply *reply, + SendReplyCallback send_reply_callback) = 0; + + virtual void HandleFreeActorObject(FreeActorObjectRequest request, + FreeActorObjectReply *reply, + SendReplyCallback send_reply_callback) = 0; +}; + +class CoreWorkerGrpcService : public GrpcService { + public: + CoreWorkerGrpcService(instrumented_io_context &main_service, + CoreWorkerServiceHandler &service_handler, + int64_t max_active_rpcs_per_handler) + : GrpcService(main_service), + service_handler_(service_handler), + max_active_rpcs_per_handler_(max_active_rpcs_per_handler) {} + + protected: + grpc::Service &GetGrpcService() override { return service_; } + + void InitServerCallFactories( + const std::unique_ptr &cq, + std::vector> *server_call_factories, + const ClusterID &cluster_id) override; + + private: + CoreWorkerService::AsyncService service_; + CoreWorkerServiceHandler &service_handler_; + int64_t max_active_rpcs_per_handler_; +}; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index de46fb466ffa..f8f357699e07 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -249,6 +249,7 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:test_utils", "//src/ray/core_worker:core_worker_lib", + "//src/ray/core_worker:grpc_service", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/ipc:fake_raylet_ipc_client", diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 0fa7170c1838..fe05b3f8d39e 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -34,6 +34,7 @@ #include "ray/core_worker/context.h" #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/core_worker/future_resolver.h" +#include "ray/core_worker/grpc_service.h" #include "ray/core_worker/object_recovery_manager.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" @@ -107,7 +108,8 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { auto core_worker_server = std::make_unique(WorkerTypeString(options.worker_type), 0, true); core_worker_server->RegisterService( - std::make_unique(io_service_, *service_handler), + std::make_unique( + io_service_, *service_handler, /*max_active_rpcs_per_handler_=*/-1), false /* token_auth */); core_worker_server->Run(); diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 295f39aa0d05..439e72666618 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -209,16 +209,3 @@ ray_cc_library( "@com_google_absl//absl/synchronization", ], ) - -ray_cc_library( - name = "core_worker_server", - hdrs = [ - "worker/core_worker_server.h", - ], - deps = [ - ":grpc_server", - ":server_call", - "//src/ray/common:asio", - "//src/ray/protobuf:core_worker_cc_grpc", - ], -) diff --git a/src/ray/rpc/grpc_server.h b/src/ray/rpc/grpc_server.h index 93c16457f9cb..db63eed08020 100644 --- a/src/ray/rpc/grpc_server.h +++ b/src/ray/rpc/grpc_server.h @@ -68,12 +68,6 @@ namespace rpc { SERVICE, HANDLER, MAX_ACTIVE_RPCS, AUTH_TYPE) \ _RPC_SERVICE_HANDLER(SERVICE, HANDLER, MAX_ACTIVE_RPCS, AUTH_TYPE, false) -// Define a void RPC client method. -#define DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(METHOD) \ - virtual void Handle##METHOD(::ray::rpc::METHOD##Request request, \ - ::ray::rpc::METHOD##Reply *reply, \ - ::ray::rpc::SendReplyCallback send_reply_callback) = 0; - class GrpcService; /// Class that represents an gRPC server. diff --git a/src/ray/rpc/worker/core_worker_server.h b/src/ray/rpc/worker/core_worker_server.h deleted file mode 100644 index 39a6a918414e..000000000000 --- a/src/ray/rpc/worker/core_worker_server.h +++ /dev/null @@ -1,141 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include - -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" -#include "src/ray/protobuf/core_worker.grpc.pb.h" -#include "src/ray/protobuf/core_worker.pb.h" - -namespace ray { - -class CoreWorker; - -namespace rpc { -/// TODO(vitsai): Remove this when auth is implemented for node manager -#define RAY_CORE_WORKER_RPC_SERVICE_HANDLER(METHOD) \ - RPC_SERVICE_HANDLER_CUSTOM_AUTH_SERVER_METRICS_DISABLED( \ - CoreWorkerService, METHOD, -1, AuthType::NO_AUTH) - -/// NOTE: See src/ray/core_worker/core_worker.h on how to add a new grpc handler. -/// Disable gRPC server metrics since it incurs too high cardinality. -#define RAY_CORE_WORKER_RPC_HANDLERS \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(PushTask) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(ActorCallArgWaitComplete) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(RayletNotifyGCSRestart) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(GetObjectStatus) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(WaitForActorRefDeleted) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(PubsubLongPolling) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(PubsubCommandBatch) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(UpdateObjectLocationBatch) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(GetObjectLocationsOwner) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(ReportGeneratorItemReturns) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(KillActor) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(CancelTask) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(RemoteCancelTask) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(RegisterMutableObjectReader) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(GetCoreWorkerStats) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(LocalGC) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(DeleteObjects) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(SpillObjects) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(RestoreSpilledObjects) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(DeleteSpilledObjects) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(PlasmaObjectReady) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(Exit) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(AssignObjectOwner) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(NumPendingTasks) \ - RAY_CORE_WORKER_RPC_SERVICE_HANDLER(FreeActorObject) - -#define RAY_CORE_WORKER_DECLARE_RPC_HANDLERS \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PushTask) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(ActorCallArgWaitComplete) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(RayletNotifyGCSRestart) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(GetObjectStatus) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(WaitForActorRefDeleted) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PubsubLongPolling) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PubsubCommandBatch) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(UpdateObjectLocationBatch) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(GetObjectLocationsOwner) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(ReportGeneratorItemReturns) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(KillActor) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(CancelTask) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(RemoteCancelTask) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(RegisterMutableObjectReader) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(GetCoreWorkerStats) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(LocalGC) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(DeleteObjects) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(SpillObjects) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(RestoreSpilledObjects) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(DeleteSpilledObjects) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(PlasmaObjectReady) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(Exit) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(AssignObjectOwner) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(NumPendingTasks) \ - DECLARE_VOID_RPC_SERVICE_HANDLER_METHOD(FreeActorObject) - -/// Interface of the `CoreWorkerServiceHandler`, see `src/ray/protobuf/core_worker.proto`. -class CoreWorkerServiceHandler : public DelayedServiceHandler { - public: - /// Blocks until the service is ready to serve RPCs. - virtual void WaitUntilInitialized() = 0; - - /// Handlers. For all of the following handlers, the implementations can - /// handle the request asynchronously. When handling is done, the - /// `send_reply_callback` should be called. See - /// src/ray/rpc/node_manager/node_manager_client.h and - /// src/ray/protobuf/node_manager.proto for a description of the - /// functionality of each handler. - /// - /// \param[in] request The request message. - /// \param[out] reply The reply message. - /// \param[in] send_reply_callback The callback to be called when the request is done. - RAY_CORE_WORKER_DECLARE_RPC_HANDLERS -}; - -/// The `GrpcServer` for `CoreWorkerService`. -class CoreWorkerGrpcService : public GrpcService { - public: - /// Constructor. - /// - /// \param[in] main_service See super class. - /// \param[in] handler The service handler that actually handle the requests. - CoreWorkerGrpcService(instrumented_io_context &main_service, - CoreWorkerServiceHandler &service_handler) - : GrpcService(main_service), service_handler_(service_handler) {} - - protected: - grpc::Service &GetGrpcService() override { return service_; } - - void InitServerCallFactories( - const std::unique_ptr &cq, - std::vector> *server_call_factories, - const ClusterID &cluster_id) override { - RAY_CORE_WORKER_RPC_HANDLERS - } - - private: - /// The grpc async service object. - CoreWorkerService::AsyncService service_; - - /// The service handler that actually handles the requests. - CoreWorkerServiceHandler &service_handler_; -}; - -} // namespace rpc -} // namespace ray From 372f0aaaba04d9010eb9342b4c2b3af92d8180ac Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 3 Sep 2025 10:58:09 -0700 Subject: [PATCH 1010/1566] [train] Add Torch process group shutdown timeout (#56182) Shutting down a healthy torch process group, which we may want to do for reasons like restarting a group of workers if an async checkpoint upload fails, can hang. This is a workaround until we figure out how to avoid this hang. When this happens, `before_worker_group_shutdown` finishes after the timeout and then workers get killed by `ray.kill`: https://github.com/ray-project/ray/blob/master/python/ray/train/v2/_internal/execution/worker_group/state.py#L127. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- python/ray/train/constants.py | 7 +++++++ python/ray/train/tests/test_backend.py | 19 +++++++++++++++++++ python/ray/train/torch/config.py | 20 ++++++++++++++++++-- 3 files changed, 44 insertions(+), 2 deletions(-) diff --git a/python/ray/train/constants.py b/python/ray/train/constants.py index 459c33a7a8f4..8e2294827dcd 100644 --- a/python/ray/train/constants.py +++ b/python/ray/train/constants.py @@ -125,6 +125,12 @@ def _v2_migration_warnings_enabled() -> bool: "TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE" ) +# Seconds to wait for torch process group to shut down. +# Shutting down a healthy torch process group, which we may want to do for reasons +# like restarting a group of workers if an async checkpoint upload fails, can hang. +# This is a workaround until we figure out how to avoid this hang. +TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S = "TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S" +DEFAULT_TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S = 30 # NOTE: When adding a new environment variable, please track it in this list. TRAIN_ENV_VARS = { @@ -137,6 +143,7 @@ def _v2_migration_warnings_enabled() -> bool: RAY_TRAIN_COUNT_PREEMPTION_AS_FAILURE, RAY_TRAIN_ENABLE_STATE_TRACKING, TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE, + TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, } # Key for AIR Checkpoint metadata in TrainingResult metadata diff --git a/python/ray/train/tests/test_backend.py b/python/ray/train/tests/test_backend.py index 3bf9e45a5449..7ea35b11e6bc 100644 --- a/python/ray/train/tests/test_backend.py +++ b/python/ray/train/tests/test_backend.py @@ -28,6 +28,7 @@ from ray.train.constants import ( ENABLE_SHARE_CUDA_VISIBLE_DEVICES_ENV, ENABLE_SHARE_NEURON_CORES_ACCELERATOR_ENV, + TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, TRAIN_ENABLE_WORKER_SPREAD_ENV, ) from ray.train.torch import TorchConfig @@ -364,6 +365,24 @@ def check_process_group(): assert not any(e.finish_training()) +@pytest.mark.parametrize( + "init_method, timeout_s", [("env", 5), ("tcp", 5), ("env", 0), ("tcp", 0)] +) +def test_torch_process_group_shutdown_timeout( + ray_start_2_cpus, monkeypatch, init_method, timeout_s +): + monkeypatch.setenv(TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, timeout_s) + torch_config = TorchConfig(backend="gloo", init_method=init_method) + e = BackendExecutor(torch_config, num_workers=2) + e.start() + + _start_training(e, lambda: 1) + assert e.finish_training() == [1, 1] + + # Verify that we do not raise an exception even if we time out + e._backend.on_shutdown(e.worker_group, e._backend_config) + + @pytest.mark.parametrize( "worker_results", [ diff --git a/python/ray/train/torch/config.py b/python/ray/train/torch/config.py index 9acc0774d5a5..3e9e41c81ac9 100644 --- a/python/ray/train/torch/config.py +++ b/python/ray/train/torch/config.py @@ -10,10 +10,16 @@ import ray from ray._common.network_utils import build_address +from ray._private import ray_constants from ray.air._internal.device_manager import register_custom_torch_dist_backend +from ray.exceptions import GetTimeoutError from ray.train._internal.utils import get_address_and_port from ray.train._internal.worker_group import WorkerGroup from ray.train.backend import Backend, BackendConfig +from ray.train.constants import ( + DEFAULT_TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, + TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, +) from ray.util import PublicAPI logger = logging.getLogger(__name__) @@ -202,11 +208,21 @@ def set_env_vars(addr, port): else: raise RuntimeError("Distributed torch is not available.") - def on_shutdown(self, worker_group: WorkerGroup, backend_config: TorchConfig): - worker_group.execute( + def on_shutdown(self, worker_group, backend_config): + futures = worker_group.execute_async( _shutdown_torch, destroy_process_group=len(worker_group) > 1, ) + timeout_s = ray_constants.env_integer( + TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, + DEFAULT_TORCH_PROCESS_GROUP_SHUTDOWN_TIMEOUT_S, + ) + try: + ray.get(futures, timeout=timeout_s) + except GetTimeoutError: + logger.warning( + f"Torch process group shutdown timed out after {timeout_s} seconds" + ) def on_training_start( self, worker_group: WorkerGroup, backend_config: BackendConfig From 12383417dc45d12175f5ae20f875fefcbf7a519b Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Wed, 3 Sep 2025 11:45:34 -0700 Subject: [PATCH 1011/1566] [release test] Upgrade Ray Train tests on g3 machine to g4dn (#56175) 1. g3 instance is relatively old and have low availability on AWS. 2. upgrade to g4dn machine that have better availability to reduce test flakiness. 3. one successful release test for the [golden_notebook_torch_tune_serve_test](https://buildkite.com/ray-project/release/builds/56322#_).aws Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml | 2 +- release/air_tests/air_benchmarks/compute_gpu_2x2_aws.yaml | 4 ++-- release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml | 4 ++-- release/air_tests/horovod/compute_tpl_aws.yaml | 4 ++-- release/golden_notebook_tests/gpu_tpl_aws.yaml | 2 +- release/ml_user_tests/tune_rllib/compute_tpl_aws.yaml | 2 +- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml b/release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml index 150990710680..c9e54e107da7 100644 --- a/release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml +++ b/release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml @@ -5,7 +5,7 @@ max_workers: 0 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge worker_node_types: [] diff --git a/release/air_tests/air_benchmarks/compute_gpu_2x2_aws.yaml b/release/air_tests/air_benchmarks/compute_gpu_2x2_aws.yaml index 20791f9e4d9d..c81d613a6f89 100644 --- a/release/air_tests/air_benchmarks/compute_gpu_2x2_aws.yaml +++ b/release/air_tests/air_benchmarks/compute_gpu_2x2_aws.yaml @@ -5,11 +5,11 @@ max_workers: 1 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge max_workers: 1 min_workers: 1 use_spot: false diff --git a/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml b/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml index e56edf8bbf28..897fb4ed728e 100644 --- a/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml +++ b/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml @@ -5,11 +5,11 @@ max_workers: 3 head_node_type: name: head_node - instance_type: g4dn.12xlarge + instance_type: g4dn.8xlarge worker_node_types: - name: worker_node - instance_type: g4dn.12xlarge + instance_type: g4dn.8xlarge max_workers: 3 min_workers: 3 use_spot: false diff --git a/release/air_tests/horovod/compute_tpl_aws.yaml b/release/air_tests/horovod/compute_tpl_aws.yaml index 2ef09f059167..f94535b53bef 100644 --- a/release/air_tests/horovod/compute_tpl_aws.yaml +++ b/release/air_tests/horovod/compute_tpl_aws.yaml @@ -6,11 +6,11 @@ max_workers: 1 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g4dn.8xlarge max_workers: 1 min_workers: 1 use_spot: false diff --git a/release/golden_notebook_tests/gpu_tpl_aws.yaml b/release/golden_notebook_tests/gpu_tpl_aws.yaml index 12d5f1a9d9bb..b01340ffea6e 100644 --- a/release/golden_notebook_tests/gpu_tpl_aws.yaml +++ b/release/golden_notebook_tests/gpu_tpl_aws.yaml @@ -9,7 +9,7 @@ head_node_type: worker_node_types: - name: worker_node - instance_type: g3.8xlarge + instance_type: g4dn.12xlarge min_workers: 2 max_workers: 2 use_spot: true diff --git a/release/ml_user_tests/tune_rllib/compute_tpl_aws.yaml b/release/ml_user_tests/tune_rllib/compute_tpl_aws.yaml index 376fd90539c7..1290ca8b6900 100644 --- a/release/ml_user_tests/tune_rllib/compute_tpl_aws.yaml +++ b/release/ml_user_tests/tune_rllib/compute_tpl_aws.yaml @@ -15,7 +15,7 @@ worker_node_types: max_workers: 6 use_spot: false - name: worker_node_gpu - instance_type: g3.4xlarge # 1 GPU and 16 CPU + instance_type: g4dn.4xlarge # 1 GPU and 16 CPU min_workers: 2 max_workers: 2 use_spot: false From fa561b7b92553cf40d905b681b2495852553ab7c Mon Sep 17 00:00:00 2001 From: ahao-anyscale Date: Wed, 3 Sep 2025 11:48:44 -0700 Subject: [PATCH 1012/1566] [serve.llm][bug] Copied Deprecation utility from RLlib to avoid unnecessary imports (#56190) Signed-off-by: ahao-anyscale Signed-off-by: Douglas Strodtman --- .../llm/_internal/common/utils/deprecation.py | 136 ++++++++++++++++++ python/ray/serve/llm/__init__.py | 6 +- 2 files changed, 138 insertions(+), 4 deletions(-) create mode 100644 python/ray/llm/_internal/common/utils/deprecation.py diff --git a/python/ray/llm/_internal/common/utils/deprecation.py b/python/ray/llm/_internal/common/utils/deprecation.py new file mode 100644 index 000000000000..f0a4cfbae186 --- /dev/null +++ b/python/ray/llm/_internal/common/utils/deprecation.py @@ -0,0 +1,136 @@ +# Using Deprecated copied from ray.rllib.utils.deprecation since they are returning better messages. + +import inspect +import logging +from typing import Optional, Union + +from ray.util import log_once +from ray.util.annotations import _mark_annotated + +logger = logging.getLogger(__name__) + +# A constant to use for any configuration that should be deprecated +# (to check, whether this config has actually been assigned a proper value or +# not). +DEPRECATED_VALUE = -1 + + +def deprecation_warning( + old: str, + new: Optional[str] = None, + *, + help: Optional[str] = None, + error: Optional[Union[bool, Exception]] = None, +) -> None: + """Warns (via the `logger` object) or throws a deprecation warning/error. + + Args: + old: A description of the "thing" that is to be deprecated. + new: A description of the new "thing" that replaces it. + help: An optional help text to tell the user, what to + do instead of using `old`. + error: Whether or which exception to raise. If True, raise ValueError. + If False, just warn. If `error` is-a subclass of Exception, + raise that Exception. + + Raises: + ValueError: If `error=True`. + Exception: Of type `error`, iff `error` is a sub-class of `Exception`. + """ + msg = "`{}` has been deprecated.{}".format( + old, (" Use `{}` instead.".format(new) if new else f" {help}" if help else "") + ) + + if error: + if not isinstance(error, bool) and issubclass(error, Exception): + # error is an Exception + raise error(msg) + else: + # error is a boolean, construct ValueError ourselves + raise ValueError(msg) + else: + logger.warning( + "DeprecationWarning: " + msg + " This will raise an error in the future!" + ) + + +def Deprecated(old=None, *, new=None, help=None, error): + """Decorator for documenting a deprecated class, method, or function. + + Automatically adds a `deprecation.deprecation_warning(old=..., + error=False)` to not break existing code at this point to the decorated + class' constructor, method, or function. + + In a next major release, this warning should then be made an error + (by setting error=True), which means at this point that the + class/method/function is no longer supported, but will still inform + the user about the deprecation event. + + In a further major release, the class, method, function should be erased + entirely from the codebase. + + + .. testcode:: + :skipif: True + + from ray.rllib.utils.deprecation import Deprecated + # Deprecated class: Patches the constructor to warn if the class is + # used. + @Deprecated(new="NewAndMuchCoolerClass", error=False) + class OldAndUncoolClass: + ... + + # Deprecated class method: Patches the method to warn if called. + class StillCoolClass: + ... + @Deprecated(new="StillCoolClass.new_and_much_cooler_method()", + error=False) + def old_and_uncool_method(self, uncool_arg): + ... + + # Deprecated function: Patches the function to warn if called. + @Deprecated(new="new_and_much_cooler_function", error=False) + def old_and_uncool_function(*uncool_args): + ... + """ + + def _inner(obj): + # A deprecated class. + if inspect.isclass(obj): + # Patch the class' init method to raise the warning/error. + obj_init = obj.__init__ + + def patched_init(*args, **kwargs): + if log_once(old or obj.__name__): + deprecation_warning( + old=old or obj.__name__, + new=new, + help=help, + error=error, + ) + return obj_init(*args, **kwargs) + + obj.__init__ = patched_init + _mark_annotated(obj) + # Return the patched class (with the warning/error when + # instantiated). + return obj + + # A deprecated class method or function. + # Patch with the warning/error at the beginning. + def _ctor(*args, **kwargs): + if log_once(old or obj.__name__): + deprecation_warning( + old=old or obj.__name__, + new=new, + help=help, + error=error, + ) + # Call the deprecated method/function. + return obj(*args, **kwargs) + + # Return the patched class method/function. + return _ctor + + # Return the prepared decorator. + return _inner diff --git a/python/ray/serve/llm/__init__.py b/python/ray/serve/llm/__init__.py index fea4ce70c2f2..02db3545bd70 100644 --- a/python/ray/serve/llm/__init__.py +++ b/python/ray/serve/llm/__init__.py @@ -1,5 +1,7 @@ from typing import TYPE_CHECKING, Any, Dict, Optional, Union +# TODO (ahao): Ray core should inherit deprecation utility. +from ray.llm._internal.common.utils.deprecation import Deprecated from ray.llm._internal.serve.configs.server_models import ( CloudMirrorConfig as _CloudMirrorConfig, LLMConfig as _LLMConfig, @@ -15,10 +17,6 @@ from ray.llm._internal.serve.deployments.routers.router import ( LLMRouter as _LLMRouter, ) - -# Using Deprecated from rllib since they are retuning better messages. -# TODO: Ray core should inherit that. -from ray.rllib.utils.deprecation import Deprecated from ray.util.annotations import PublicAPI if TYPE_CHECKING: From 4305d902827c9dcd8a4742120b8e74b2e086c25d Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Wed, 3 Sep 2025 11:51:57 -0700 Subject: [PATCH 1013/1566] Remove Placement Group on Train Run Abort (#56011) This PR addresses a bug that occurs when users abort a Train Run from within a Python notebook. When a train run is aborted by stopping a cell execution, the associated placement groups are not removed. And because the train job persists while the notebook kernel is still running, it is never cleaned- preventing the subsequent train run from progressing. This fix manually shuts down the worker group state, which includes the placement group, upon abort- allowing the user to immediately kickoff another train run without having to restart the notebook. --------- Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/train/_internal/worker_group.py | 2 + .../execution/worker_group/worker_group.py | 8 ++-- .../ray/train/v2/tests/test_worker_group.py | 46 +++++++++++++------ 3 files changed, 40 insertions(+), 16 deletions(-) diff --git a/python/ray/train/_internal/worker_group.py b/python/ray/train/_internal/worker_group.py index 853502b3512f..e64de700da39 100644 --- a/python/ray/train/_internal/worker_group.py +++ b/python/ray/train/_internal/worker_group.py @@ -269,6 +269,8 @@ def execute(self, func: Callable[..., T], *args, **kwargs) -> List[T]: worker. The order is the same as ``self.workers``. """ + # TODO: Add a timeout in the case of a hang, particularly + # relevant when func is TorchConfig.on_shutdown return ray.get(self.execute_async(func, *args, **kwargs)) def execute_single_async( diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index a3a81fa2021c..d48772c4e30d 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -475,13 +475,15 @@ def _clear_state(self): def abort(self): """Abort the worker group.""" - # TODO: consider shutting down the workers in the future. - # We don't do this for now due to this risk of hanging e.g. when calling - # `destroy_process_group` on an active group. self._assert_active() for callback in self._callbacks: callback.before_worker_group_abort(self._worker_group_context) + # TODO: Add shutdown callback hooks + + self._worker_group_state.shutdown() + self._clear_state() + ##################################################################################### # Polling Worker Group ##################################################################################### diff --git a/python/ray/train/v2/tests/test_worker_group.py b/python/ray/train/v2/tests/test_worker_group.py index 2b796e751c9a..8bf83334fcd7 100644 --- a/python/ray/train/v2/tests/test_worker_group.py +++ b/python/ray/train/v2/tests/test_worker_group.py @@ -28,6 +28,7 @@ Worker, WorkerGroup, WorkerGroupContext, + WorkerGroupState, ) from ray.train.v2.api.config import RunConfig from ray.train.v2.tests.util import DummyObjectRefWrapper, create_dummy_run_context @@ -497,7 +498,21 @@ def after_worker_group_poll_status(self, worker_group_status): assert hooks.shutdown_hook_called -def test_worker_group_abort(): +def test_worker_log_file_paths(): + """Test that log file paths are correctly assigned to workers.""" + wg = _default_inactive_worker_group() + wg._start() + + # Check that all workers have log file paths assigned + workers = wg.get_workers() + for worker in workers: + assert worker.log_file_path is not None + assert "ray-train-app-worker" in worker.log_file_path + + wg.shutdown() + + +def test_worker_group_abort(monkeypatch): class AssertCallback(WorkerGroupCallback): def __init__(self): self.abort_hook_called = False @@ -509,21 +524,26 @@ def before_worker_group_abort(self, worker_group_context): wg = _default_inactive_worker_group(callbacks=[hooks]) wg._start() - wg.abort() - assert hooks.abort_hook_called - wg.shutdown() + # Track shutdown calls without preventing actual cleanup + shutdown_call_count = 0 + original_shutdown = WorkerGroupState.shutdown -def test_worker_log_file_paths(): - """Test that log file paths are correctly assigned to workers.""" - wg = _default_inactive_worker_group() - wg._start() + def track_shutdown_calls(self): + nonlocal shutdown_call_count + shutdown_call_count += 1 + return original_shutdown(self) - # Check that all workers have log file paths assigned - workers = wg.get_workers() - for worker in workers: - assert worker.log_file_path is not None - assert "ray-train-app-worker" in worker.log_file_path + monkeypatch.setattr(WorkerGroupState, "shutdown", track_shutdown_calls) + + wg.abort() + assert ( + shutdown_call_count == 1 + ), f"Expected shutdown to be called once, but was called {shutdown_call_count} times" + assert hooks.abort_hook_called + + # Bypass _assert_active method, allowing for shutdown + monkeypatch.setattr(wg, "_assert_active", lambda: None) wg.shutdown() From 933202e13fd9624d97ee2dc87771cee99f252397 Mon Sep 17 00:00:00 2001 From: Dongjun Na Date: Thu, 4 Sep 2025 04:51:51 +0900 Subject: [PATCH 1014/1566] [Serve][1/N] Add autoscaler observability core API schema (#55919) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? This PR adds the Serve Autoscaler Observability schema. The schema defines structured models in `schema.py`, allowing `serve status -v` to return detailed observability data for both deployments and applications. With these models, the examples in the design spec can now be expressed as structured Pydantic objects. This lays the groundwork for integrating the schema into controller logic and CLI output in follow-up PRs. ### Example: Deployment snapshot ```sh ======== Serve Autoscaler status: 2025-08-19T15:05:30Z ======== Deployment status --------------------------------------------------------------- deployment_default_policy: Current replicas: 3 Target replicas: 5 Replicas allowed: min=1, max=10 Scaling status: scaling up Scaling decisions: 2025-08-19T14:00:00Z - scaled down from 5 -> 3 (low traffic) 2025-08-19T15:05:00Z - scaled up from 3 -> 5 (12 requests queued) Policy: Default (queue-length based) Metrics (look_back_period_s=30): queued_requests: 12 Metric collection: delayed (last update 30s ago) Errors: (none) ``` | Deployment spec requirement | Schema / fields | |-----------------------------------------------|---------------------------------------------------------------------------------------------------| | Current / Target replicas / Replicas allowed | `DeploymentAutoscalerView.current_replicas`, `target_replicas`, `min_replicas`, `max_replicas` | | Scaling status (up/down/stable) | `DeploymentAutoscalerView.scaling_status` (`ScalingStatus`) | | Scaling decisions (timestamp, from→to, reason)| `ScalingDecision.timestamp_s`, `from_replicas`, `to_replicas`, `reason`, `source`, `policy`, `metrics` | | Policy | `ScalingDecision.policy` | | Metrics (lookback, queued_requests, etc.) | `DeploymentAutoscalerView.metrics`, `lookback_period_s` | | Metric collection state | `DeploymentAutoscalerView.metrics_health` (`MetricsHealth`) | | Errors | `DeploymentAutoscalerView.errors` | | Webhook history | `ExternalScalerView.webhook_history[]` (`WebhookEvent`) | --- ### Example: Application snapshot ```sh ======== Serve Autoscaler status: 2025-08-20T10:00:00Z ======== Application status --------------------------------------------------------------- application_default_policy: Scaling status: scaling up Policy: Custom (example_application_policy) Scaling decisions: 2025-08-20T09:55:00Z - scaled up frontend: 2 -> 4, backend: 4 -> 6 (total_requests=200) Metrics (look_back_period_s=45): total_requests: 200 Errors: (none) Deployments: frontend: Current replicas: 4 Target replicas: 4 Replicas allowed: min=1, max=10 backend: Current replicas: 6 Target replicas: 6 Replicas allowed: min=2, max=20 ``` | Application spec requirement | Schema / fields | |-----------------------------------------------|-------------------------------------------------------------| | Application name | `ApplicationAutoscalerView.application` | | Application scaling status | `ApplicationAutoscalerView.scaling_status` | | Application policy | `ApplicationAutoscalerView.policy` | | Scaling decisions | `ApplicationAutoscalerView.decisions[]` | | Metrics / lookback | `ApplicationAutoscalerView.metrics`, `lookback_period_s` | | Errors | `ApplicationAutoscalerView.errors` | | Deployment summaries (current/target/min/max) | `ApplicationAutoscalerView.deployments` (`{dep: {current, target}}`) | --- ### Snapshot envelope At the top-level, every snapshot is wrapped in: | Snapshot field | Schema / fields | |----------------------|--------------------------------------------------| | Timestamp | `ServeAutoscalerObservability.timestamp_s` | | Version | `ServeAutoscalerObservability.version` | | Deployment list | `ServeAutoscalerObservability.deployments[]` | | Application list | `ServeAutoscalerObservability.applications[]` | | External scaler list | `ServeAutoscalerObservability.external_scalers[]`| ## Related issue number #55834 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Dongjun Na Signed-off-by: Douglas Strodtman --- doc/source/serve/api/index.md | 4 +++ python/ray/serve/schema.py | 62 +++++++++++++++++++++++++++++++++++ 2 files changed, 66 insertions(+) diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index 5b5620c86022..d8d251018c70 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -102,6 +102,10 @@ See the [model composition guide](serve-model-composition) for how to update cod serve.schema.ServeStatus serve.schema.DeploymentStatusOverview serve.schema.EncodingType + serve.schema.AutoscalingMetricsHealth + serve.schema.AutoscalingStatus + serve.schema.ScalingDecision + serve.schema.DeploymentAutoscalingDetail ``` ### Request Router diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index f9d49d079b07..455ba06a9904 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -978,6 +978,63 @@ class ReplicaDetails(ServeActorDetails, frozen=True): ) +@PublicAPI(stability="alpha") +class AutoscalingMetricsHealth(str, Enum): + HEALTHY = "healthy" + DELAYED = "delayed" + UNAVAILABLE = "unavailable" + + +@PublicAPI(stability="alpha") +class AutoscalingStatus(str, Enum): + UPSCALING = "UPSCALING" + DOWNSCALING = "DOWNSCALING" + STABLE = "STABLE" + + +@PublicAPI(stability="alpha") +class ScalingDecision(BaseModel): + """One autoscaling decision with minimal provenance.""" + + timestamp_s: float = Field( + ..., description="Unix time (seconds) when the decision was made." + ) + reason: str = Field( + ..., description="Short, human-readable reason for the decision." + ) + prev_num_replicas: int = Field( + ..., ge=0, description="Replica count before the decision." + ) + curr_num_replicas: int = Field( + ..., ge=0, description="Replica count after the decision." + ) + policy: Optional[str] = Field( + None, description="Policy name or identifier (if applicable)." + ) + + +@PublicAPI(stability="alpha") +class DeploymentAutoscalingDetail(BaseModel): + """Deployment-level autoscaler observability.""" + + scaling_status: AutoscalingStatus = Field( + ..., description="Current scaling direction or stability." + ) + decisions: List[ScalingDecision] = Field( + default_factory=list, description="Recent scaling decisions." + ) + metrics: Optional[Dict[str, Any]] = Field( + None, description="Aggregated metrics for this deployment." + ) + metrics_health: AutoscalingMetricsHealth = Field( + AutoscalingMetricsHealth.HEALTHY, + description="Health of metrics collection pipeline.", + ) + errors: List[str] = Field( + default_factory=list, description="Recent errors/abnormal events." + ) + + @PublicAPI(stability="stable") class DeploymentDetails(BaseModel, extra=Extra.forbid, frozen=True): """ @@ -1018,6 +1075,11 @@ class DeploymentDetails(BaseModel, extra=Extra.forbid, frozen=True): description="Details about the live replicas of this deployment." ) + autoscaling_detail: Optional[DeploymentAutoscalingDetail] = Field( + default=None, + description="[EXPERIMENTAL] Deployment-level autoscaler observability for this deployment.", + ) + @PublicAPI(stability="alpha") class APIType(str, Enum): From de4c9049b13ba8008ee471de25ec06db56401eb6 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 3 Sep 2025 13:12:12 -0700 Subject: [PATCH 1015/1566] [image] unify label and tag conventions (#56189) use the same tagging scheme, with dashes separating fields. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_images.rayci.yml | 24 ++++++++++++------------ docker/base-slim/cpu.wanda.yaml | 4 ++-- docker/base-slim/cuda.wanda.yaml | 4 ++-- 3 files changed, 16 insertions(+), 16 deletions(-) diff --git a/.buildkite/_images.rayci.yml b/.buildkite/_images.rayci.yml index 74413964085b..caa0b158f52d 100644 --- a/.buildkite/_images.rayci.yml +++ b/.buildkite/_images.rayci.yml @@ -2,7 +2,7 @@ group: images sort_key: "_images" steps: - name: raycpubase - label: "wanda: ray.py{{matrix}}.cpu.base" + label: "wanda: ray-py{{matrix}}-cpu-base" tags: - python_dependencies - docker @@ -17,7 +17,7 @@ steps: ARCH_SUFFIX: "" - name: raycpubaseextra - label: "wanda: ray.py{{matrix}}.cpu.base-extra" + label: "wanda: ray-py{{matrix}}-cpu-base-extra" wanda: docker/base-extra/cpu.wanda.yaml matrix: - "3.9" @@ -31,7 +31,7 @@ steps: depends_on: raycpubase - name: raycudabase - label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base" + label: "wanda: ray-py{{matrix.python}}-cu{{matrix.cuda}}-base" tags: - python_dependencies - docker @@ -58,7 +58,7 @@ steps: ARCH_SUFFIX: "" - name: raycudabaseextra - label: "wanda: ray.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + label: "wanda: ray-py{{matrix.python}}-cu{{matrix.cuda}}-base-extra" wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: @@ -84,7 +84,7 @@ steps: depends_on: raycudabase - name: ray-llmbase - label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base" + label: "wanda: ray-llm-py{{matrix.python}}-cu{{matrix.cuda}}-base" tags: - python_dependencies - docker @@ -101,7 +101,7 @@ steps: CUDA_VERSION: "{{matrix.cuda}}" - name: ray-llmbaseextra - label: "wanda: ray-llm.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + label: "wanda: ray-llm-py{{matrix.python}}-cu{{matrix.cuda}}-base-extra" wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: @@ -117,7 +117,7 @@ steps: depends_on: ray-llmbase - name: ray-mlcpubase - label: "wanda: ray-ml.py{{matrix}}.cpu.base" + label: "wanda: ray-ml-py{{matrix}}-cpu-base" tags: - python_dependencies - docker @@ -131,7 +131,7 @@ steps: PYTHON_VERSION: "{{matrix}}" - name: ray-mlcpubaseextra - label: "wanda: ray-ml.py{{matrix}}.cpu.base-extra" + label: "wanda: ray-ml-py{{matrix}}-cpu-base-extra" wanda: docker/base-extra/cpu.wanda.yaml matrix: - "3.9" @@ -144,7 +144,7 @@ steps: depends_on: ray-mlcpubase - name: ray-mlcudabase - label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base" + label: "wanda: ray-ml-py{{matrix.python}}-cu{{matrix.cuda}}-base" tags: - python_dependencies - docker @@ -163,7 +163,7 @@ steps: CUDA_VERSION: "{{matrix.cuda}}" - name: ray-mlcudabaseextra - label: "wanda: ray-ml.py{{matrix.python}}.cu{{matrix.cuda}}.base-extra" + label: "wanda: ray-ml-py{{matrix.python}}-cu{{matrix.cuda}}-base-extra" wanda: docker/base-extra/cuda.wanda.yaml matrix: setup: @@ -181,7 +181,7 @@ steps: depends_on: ray-mlcudabase - name: ray-slimcpubase - label: "wanda: ray-slim.py{{matrix}}.cpu.base" + label: "wanda: ray-slim-py{{matrix}}-cpu-base" tags: - python_dependencies - docker @@ -198,7 +198,7 @@ steps: ARCH_SUFFIX: "" - name: ray-slimcudabase - label: "wanda: ray-slim.py{{matrix.python}}.cu{{matrix.cuda}}.base" + label: "wanda: ray-slim-py{{matrix.python}}-cu{{matrix.cuda}}-base" tags: - python_dependencies - docker diff --git a/docker/base-slim/cpu.wanda.yaml b/docker/base-slim/cpu.wanda.yaml index b6d80f13992a..4276c103336e 100644 --- a/docker/base-slim/cpu.wanda.yaml +++ b/docker/base-slim/cpu.wanda.yaml @@ -1,4 +1,4 @@ -name: "ray-slim.py$PYTHON_VERSION.cpu.base$ARCH_SUFFIX" +name: "ray-slim-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX" froms: ["ubuntu:22.04"] dockerfile: docker/base-slim/Dockerfile srcs: @@ -7,4 +7,4 @@ build_args: - PYTHON_VERSION - BASE_IMAGE=ubuntu:22.04 tags: - - cr.ray.io/rayproject/ray-slim.py$PYTHON_VERSION.cpu.base$ARCH_SUFFIX + - cr.ray.io/rayproject/ray-slim-py$PYTHON_VERSION-cpu-base$ARCH_SUFFIX diff --git a/docker/base-slim/cuda.wanda.yaml b/docker/base-slim/cuda.wanda.yaml index 8ae98a48d11a..0c78b98f5c8b 100644 --- a/docker/base-slim/cuda.wanda.yaml +++ b/docker/base-slim/cuda.wanda.yaml @@ -1,4 +1,4 @@ -name: "ray-slim.py$PYTHON_VERSION.cu$CUDA_VERSION.base$ARCH_SUFFIX" +name: "ray-slim-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX" froms: ["nvidia/cuda:$CUDA_VERSION-runtime-ubuntu22.04"] dockerfile: docker/base-slim/Dockerfile srcs: @@ -7,4 +7,4 @@ build_args: - PYTHON_VERSION - BASE_IMAGE=nvidia/cuda:$CUDA_VERSION-runtime-ubuntu22.04 tags: - - cr.ray.io/rayproject/ray-slim.py$PYTHON_VERSION.cu$CUDA_VERSION.base$ARCH_SUFFIX + - cr.ray.io/rayproject/ray-slim-py$PYTHON_VERSION-cu$CUDA_VERSION-base$ARCH_SUFFIX From 4948cf2ce2a2ff4043e3aee4a36e41f3adb92aeb Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 3 Sep 2025 13:34:20 -0700 Subject: [PATCH 1016/1566] [train][doc] Add get_all_reported_checkpoints and ReportedCheckpoint to API docs (#56174) Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- doc/source/train/api/api.rst | 2 ++ python/ray/train/v2/api/train_fn_utils.py | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/doc/source/train/api/api.rst b/doc/source/train/api/api.rst index 41e10d7c4a65..344682bd66f5 100644 --- a/doc/source/train/api/api.rst +++ b/doc/source/train/api/api.rst @@ -143,6 +143,7 @@ Ray Train Utilities :nosignatures: :toctree: doc/ + ~train.get_all_reported_checkpoints ~train.get_checkpoint ~train.get_context ~train.get_dataset_shard @@ -165,6 +166,7 @@ Ray Train Output :template: autosummary/class_without_autosummary.rst :toctree: doc/ + ~train.ReportedCheckpoint ~train.Result Ray Train Errors diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index 06603b8c409b..740206e190e2 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -192,7 +192,7 @@ def train_func(config): Returns: List of ReportedCheckpoint objects that represent the checkpoints and - corresponding metrics reported by the workers. + corresponding metrics reported by the workers. """ return get_train_fn_utils().get_all_reported_checkpoints() From c898cc2eef9d8ea6685c4ae7a50b88143be17c9d Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 3 Sep 2025 13:37:55 -0700 Subject: [PATCH 1017/1566] Add perf metrics for 2.49.1 (#56183) ``` REGRESSION 29.81%: multi_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 15560.620089508539 to 10922.349171697762 in microbenchmark.json REGRESSION 26.80%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1156.2740440851749 to 846.4118553774217 in microbenchmark.json REGRESSION 26.35%: multi_client_put_gigabytes (THROUGHPUT) regresses from 37.43614465888436 to 27.572292929404366 in microbenchmark.json REGRESSION 25.65%: client__tasks_and_put_batch (THROUGHPUT) regresses from 13581.806864962535 to 10098.586104880465 in microbenchmark.json REGRESSION 24.62%: client__1_1_actor_calls_concurrent (THROUGHPUT) regresses from 1144.7059953730677 to 862.8335019710298 in microbenchmark.json REGRESSION 22.61%: client__tasks_and_get_batch (THROUGHPUT) regresses from 1.040122205853533 to 0.8049748278618892 in microbenchmark.json REGRESSION 20.06%: multi_client_tasks_async (THROUGHPUT) regresses from 24135.499735285084 to 19294.747670848352 in microbenchmark.json REGRESSION 14.64%: 1_1_async_actor_calls_with_args_async (THROUGHPUT) regresses from 2842.6446804977995 to 2426.398157992012 in microbenchmark.json REGRESSION 14.49%: tasks_per_second (THROUGHPUT) regresses from 210.13682904062856 to 179.67755143550417 in benchmarks/many_nodes.json REGRESSION 14.46%: 1_1_async_actor_calls_async (THROUGHPUT) regresses from 4261.744798110754 to 3645.3291604906276 in microbenchmark.json REGRESSION 13.55%: client__1_1_actor_calls_sync (THROUGHPUT) regresses from 564.4854333177283 to 488.0060975075199 in microbenchmark.json REGRESSION 12.68%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2091.781722688228 to 1826.440590474467 in microbenchmark.json REGRESSION 11.51%: client__put_calls (THROUGHPUT) regresses from 869.4133022105747 to 769.3648317551028 in microbenchmark.json REGRESSION 9.32%: single_client_get_calls_Plasma_Store (THROUGHPUT) regresses from 10119.7301338237 to 9176.686326011131 in microbenchmark.json REGRESSION 9.17%: 1_1_actor_calls_concurrent (THROUGHPUT) regresses from 5185.592351945926 to 4710.115509639389 in microbenchmark.json REGRESSION 9.15%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5278.091294531883 to 4795.051007052156 in microbenchmark.json REGRESSION 8.45%: 1_n_async_actor_calls_async (THROUGHPUT) regresses from 7607.418617152194 to 6964.257909926722 in microbenchmark.json REGRESSION 7.73%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23412.17782093146 to 21602.16598513169 in microbenchmark.json REGRESSION 6.78%: single_client_tasks_async (THROUGHPUT) regresses from 7958.403181954658 to 7418.67591750316 in microbenchmark.json REGRESSION 6.17%: n_n_actor_calls_async (THROUGHPUT) regresses from 26441.297568592032 to 24808.730524179864 in microbenchmark.json REGRESSION 5.46%: 1_1_actor_calls_async (THROUGHPUT) regresses from 8382.98999101571 to 7925.658042658907 in microbenchmark.json REGRESSION 5.16%: n_n_actor_calls_with_arg_async (THROUGHPUT) regresses from 2704.110675027102 to 2564.489147392739 in microbenchmark.json REGRESSION 4.76%: single_client_tasks_sync (THROUGHPUT) regresses from 946.027654634476 to 900.96738867954 in microbenchmark.json REGRESSION 4.58%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1440.0280310845594 to 1374.047824125402 in microbenchmark.json REGRESSION 4.10%: client__get_calls (THROUGHPUT) regresses from 1025.614536261544 to 983.5607099398597 in microbenchmark.json REGRESSION 2.83%: single_client_wait_1k_refs (THROUGHPUT) regresses from 4.952999927332959 to 4.8129125825624035 in microbenchmark.json REGRESSION 2.45%: 1_n_actor_calls_async (THROUGHPUT) regresses from 7753.148948018643 to 7563.474741840271 in microbenchmark.json REGRESSION 2.24%: single_client_tasks_and_get_batch (THROUGHPUT) regresses from 5.381854147597904 to 5.261194854317881 in microbenchmark.json REGRESSION 0.93%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 13.265651211414822 to 13.142098493341212 in microbenchmark.json REGRESSION 0.65%: placement_group_create/removal (THROUGHPUT) regresses from 755.9481741578835 to 751.064903521573 in microbenchmark.json REGRESSION 20.25%: dashboard_p95_latency_ms (LATENCY) regresses from 542.827 to 652.763 in benchmarks/many_tasks.json REGRESSION 19.04%: stage_4_spread (LATENCY) regresses from 0.4687484200099014 to 0.5580154959703073 in stress_tests/stress_test_many_tasks.json REGRESSION 12.64%: stage_0_time (LATENCY) regresses from 6.86789870262146 to 7.735846281051636 in stress_tests/stress_test_many_tasks.json REGRESSION 12.06%: dashboard_p50_latency_ms (LATENCY) regresses from 9.667 to 10.833 in benchmarks/many_actors.json REGRESSION 8.83%: avg_iteration_time (LATENCY) regresses from 1.1919621157646179 to 1.2971700072288512 in stress_tests/stress_test_dead_actors.json REGRESSION 8.70%: dashboard_p50_latency_ms (LATENCY) regresses from 6.38 to 6.935 in benchmarks/many_nodes.json REGRESSION 7.86%: dashboard_p95_latency_ms (LATENCY) regresses from 10.012 to 10.799 in benchmarks/many_pgs.json REGRESSION 5.87%: dashboard_p99_latency_ms (LATENCY) regresses from 736.395 to 779.606 in benchmarks/many_tasks.json REGRESSION 5.22%: avg_pg_remove_time_ms (LATENCY) regresses from 1.3276310030028873 to 1.396923734234321 in stress_tests/stress_test_placement_group.json REGRESSION 2.17%: dashboard_p95_latency_ms (LATENCY) regresses from 13.055 to 13.338 in benchmarks/many_nodes.json REGRESSION 1.58%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 13.201167912000003 to 13.41017694899999 in scalability/object_store.json REGRESSION 1.23%: avg_pg_create_time_ms (LATENCY) regresses from 1.544663453452921 to 1.5636188018035782 in stress_tests/stress_test_placement_group.json REGRESSION 1.02%: dashboard_p99_latency_ms (LATENCY) regresses from 186.207 to 188.103 in benchmarks/many_pgs.json REGRESSION 0.38%: stage_3_time (LATENCY) regresses from 1814.6457602977753 to 1821.4706330299377 in stress_tests/stress_test_many_tasks.json REGRESSION 0.25%: 107374182400_large_object_time (LATENCY) regresses from 31.283377702999985 to 31.36117459099995 in scalability/single_node.json REGRESSION 0.23%: 10000_get_time (LATENCY) regresses from 23.946038821000002 to 24.000713915999995 in scalability/single_node.json ``` Signed-off-by: Lonnie Liu Co-authored-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../perf_metrics/benchmarks/many_actors.json | 16 +- .../perf_metrics/benchmarks/many_nodes.json | 18 +- release/perf_metrics/benchmarks/many_pgs.json | 18 +- .../perf_metrics/benchmarks/many_tasks.json | 16 +- release/perf_metrics/metadata.json | 2 +- release/perf_metrics/microbenchmark.json | 186 +++++++++--------- .../scalability/object_store.json | 4 +- .../perf_metrics/scalability/single_node.json | 20 +- .../stress_tests/stress_test_dead_actors.json | 10 +- .../stress_tests/stress_test_many_tasks.json | 36 ++-- .../stress_test_placement_group.json | 8 +- 11 files changed, 167 insertions(+), 167 deletions(-) diff --git a/release/perf_metrics/benchmarks/many_actors.json b/release/perf_metrics/benchmarks/many_actors.json index cae597479e54..d41c48a42071 100644 --- a/release/perf_metrics/benchmarks/many_actors.json +++ b/release/perf_metrics/benchmarks/many_actors.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 102.928384, + "_dashboard_memory_usage_mb": 116.87936, "_dashboard_test_success": true, "_peak_memory": 4.56, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n1147\t7.55GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3549\t2.03GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n4987\t0.83GiB\tpython distributed/test_many_actors.py\n3056\t0.39GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3751\t0.27GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n584\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4235\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3664\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2979\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4237\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", - "actors_per_second": 526.6643292032776, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3537\t2.03GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5556\t0.87GiB\tpython distributed/test_many_actors.py\n2945\t0.39GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3735\t0.23GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n582\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n1143\t0.11GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3652\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4226\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3108\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4228\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "actors_per_second": 566.4200586217125, "num_actors": 10000, "perf_metrics": [ { "perf_metric_name": "actors_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 526.6643292032776 + "perf_metric_value": 566.4200586217125 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 9.667 + "perf_metric_value": 10.833 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 2841.741 + "perf_metric_value": 2612.102 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 3497.265 + "perf_metric_value": 3446.344 } ], "success": "1", - "time": 18.987426042556763 + "time": 17.654742002487183 } diff --git a/release/perf_metrics/benchmarks/many_nodes.json b/release/perf_metrics/benchmarks/many_nodes.json index 0b2e8ccb2f6a..a49b33405678 100644 --- a/release/perf_metrics/benchmarks/many_nodes.json +++ b/release/perf_metrics/benchmarks/many_nodes.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 95.510528, + "_dashboard_memory_usage_mb": 96.198656, "_dashboard_test_success": true, - "_peak_memory": 2.29, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3521\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3063\t0.26GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n1069\t0.19GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n5012\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3719\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n4200\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3637\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3019\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5257\t0.09GiB\tray::StateAPIGeneratorActor.start\n4202\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "_peak_memory": 2.28, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3348\t0.51GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2901\t0.27GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n4907\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3546\t0.13GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1091\t0.13GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4032\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n2825\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n5133\t0.09GiB\tray::StateAPIGeneratorActor.start\n3464\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3549\t0.08GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s", "num_tasks": 1000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 210.13682904062856 + "perf_metric_value": 179.67755143550417 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 6.38 + "perf_metric_value": 6.935 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 13.055 + "perf_metric_value": 13.338 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 38.335 + "perf_metric_value": 35.162 } ], "success": "1", - "tasks_per_second": 210.13682904062856, - "time": 304.7588040828705, + "tasks_per_second": 179.67755143550417, + "time": 305.5655255317688, "used_cpus": 250.0 } diff --git a/release/perf_metrics/benchmarks/many_pgs.json b/release/perf_metrics/benchmarks/many_pgs.json index 66b733a787ba..2df384ac4bda 100644 --- a/release/perf_metrics/benchmarks/many_pgs.json +++ b/release/perf_metrics/benchmarks/many_pgs.json @@ -1,32 +1,32 @@ { - "_dashboard_memory_usage_mb": 90.968064, + "_dashboard_memory_usage_mb": 98.287616, "_dashboard_test_success": true, - "_peak_memory": 2.88, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n1111\t8.31GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3486\t0.98GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2906\t0.4GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5166\t0.39GiB\tpython distributed/test_many_pgs.py\n581\t0.18GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3690\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2765\t0.11GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n4176\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3039\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4178\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", + "_peak_memory": 2.78, + "_peak_process_memory": "PID\tMEM\tCOMMAND\n1146\t7.94GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3546\t0.92GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3049\t0.47GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5004\t0.37GiB\tpython distributed/test_many_pgs.py\n581\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n3758\t0.13GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2816\t0.11GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n4241\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3665\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2941\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/", "num_pgs": 1000, "perf_metrics": [ { "perf_metric_name": "pgs_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 12.799625675009633 + "perf_metric_value": 13.028153672527967 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 4.562 + "perf_metric_value": 4.26 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 10.012 + "perf_metric_value": 10.799 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 186.207 + "perf_metric_value": 188.103 } ], - "pgs_per_second": 12.799625675009633, + "pgs_per_second": 13.028153672527967, "success": "1", - "time": 78.12728476524353 + "time": 76.75684714317322 } diff --git a/release/perf_metrics/benchmarks/many_tasks.json b/release/perf_metrics/benchmarks/many_tasks.json index b16a12b02b26..cfaad9568f2d 100644 --- a/release/perf_metrics/benchmarks/many_tasks.json +++ b/release/perf_metrics/benchmarks/many_tasks.json @@ -1,14 +1,14 @@ { - "_dashboard_memory_usage_mb": 104.685568, + "_dashboard_memory_usage_mb": 104.443904, "_dashboard_test_success": true, "_peak_memory": 3.96, - "_peak_process_memory": "PID\tMEM\tCOMMAND\n3526\t1.11GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n8718\t0.76GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3726\t0.45GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3040\t0.28GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3729\t0.15GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n1122\t0.12GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4209\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3641\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n2964\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n9009\t0.09GiB\tray::StateAPIGeneratorActor.start", + "_peak_process_memory": "PID\tMEM\tCOMMAND\n3538\t1.1GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5120\t0.76GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3748\t0.46GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3008\t0.27GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3751\t0.19GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n1134\t0.11GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4231\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3653\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n3029\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4233\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", "num_tasks": 10000, "perf_metrics": [ { "perf_metric_name": "tasks_per_second", "perf_metric_type": "THROUGHPUT", - "perf_metric_value": 347.0074587793457 + "perf_metric_value": 388.36439061844453 }, { "perf_metric_name": "used_cpus_by_deadline", @@ -18,21 +18,21 @@ { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 7.278 + "perf_metric_value": 5.544 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 542.827 + "perf_metric_value": 652.763 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 736.395 + "perf_metric_value": 779.606 } ], "success": "1", - "tasks_per_second": 347.0074587793457, - "time": 328.8178243637085, + "tasks_per_second": 388.36439061844453, + "time": 325.74901366233826, "used_cpus": 2500.0 } diff --git a/release/perf_metrics/metadata.json b/release/perf_metrics/metadata.json index aa69a1c1e5cc..bae7d94a16a3 100644 --- a/release/perf_metrics/metadata.json +++ b/release/perf_metrics/metadata.json @@ -1 +1 @@ -{"release_version": "2.49.0"} +{"release_version": "2.49.1"} diff --git a/release/perf_metrics/microbenchmark.json b/release/perf_metrics/microbenchmark.json index a58f3baee28e..30eb94e6f8a5 100644 --- a/release/perf_metrics/microbenchmark.json +++ b/release/perf_metrics/microbenchmark.json @@ -1,283 +1,283 @@ { "1_1_actor_calls_async": [ - 8382.98999101571, - 117.79830230521418 + 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"single_client_wait_1k_refs": [ - 4.952999927332959, - 0.036988477470103795 + 4.8129125825624035, + 0.007111082814526685 ] } diff --git a/release/perf_metrics/scalability/object_store.json b/release/perf_metrics/scalability/object_store.json index a2e424a23abd..7d152e5a6d66 100644 --- a/release/perf_metrics/scalability/object_store.json +++ b/release/perf_metrics/scalability/object_store.json @@ -1,12 +1,12 @@ { - "broadcast_time": 13.201167912000003, + "broadcast_time": 13.41017694899999, "num_nodes": 50, "object_size": 1073741824, "perf_metrics": [ { "perf_metric_name": "time_to_broadcast_1073741824_bytes_to_50_nodes", "perf_metric_type": "LATENCY", - "perf_metric_value": 13.201167912000003 + "perf_metric_value": 13.41017694899999 } ], "success": "1" diff --git a/release/perf_metrics/scalability/single_node.json b/release/perf_metrics/scalability/single_node.json index be655d551555..57cdf632f646 100644 --- a/release/perf_metrics/scalability/single_node.json +++ b/release/perf_metrics/scalability/single_node.json @@ -1,8 +1,8 @@ { - "args_time": 19.17184469900002, - "get_time": 23.946038821000002, + "args_time": 19.077259766999987, + "get_time": 24.000713915999995, "large_object_size": 107374182400, - "large_object_time": 31.283377702999985, + "large_object_time": 31.36117459099995, "num_args": 10000, "num_get_args": 10000, "num_queued": 1000000, @@ -11,30 +11,30 @@ { "perf_metric_name": "10000_args_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 19.17184469900002 + "perf_metric_value": 19.077259766999987 }, { "perf_metric_name": "3000_returns_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 5.863585175999987 + "perf_metric_value": 5.790547841000006 }, { "perf_metric_name": "10000_get_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 23.946038821000002 + "perf_metric_value": 24.000713915999995 }, { "perf_metric_name": "1000000_queued_time", "perf_metric_type": "LATENCY", - "perf_metric_value": 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170.76539039611816, - "stage_3_creation_time": 2.032559394836426, - "stage_3_time": 1814.6457602977753, - "stage_4_spread": 0.4687484200099014, + "stage_0_time": 7.735846281051636, + "stage_1_avg_iteration_time": 12.93162693977356, + "stage_1_max_iteration_time": 13.44619870185852, + "stage_1_min_iteration_time": 11.569173812866211, + "stage_1_time": 129.31632256507874, + "stage_2_avg_iteration_time": 33.983641386032104, + "stage_2_max_iteration_time": 34.43809151649475, + "stage_2_min_iteration_time": 33.45232319831848, + "stage_2_time": 169.91874861717224, + "stage_3_creation_time": 1.8725192546844482, + "stage_3_time": 1821.4706330299377, + "stage_4_spread": 0.5580154959703073, "success": 1 } diff --git a/release/perf_metrics/stress_tests/stress_test_placement_group.json b/release/perf_metrics/stress_tests/stress_test_placement_group.json index 49a763bceb42..d70d74c39e18 100644 --- a/release/perf_metrics/stress_tests/stress_test_placement_group.json +++ b/release/perf_metrics/stress_tests/stress_test_placement_group.json @@ -1,16 +1,16 @@ { - "avg_pg_create_time_ms": 1.544663453452921, - "avg_pg_remove_time_ms": 1.3276310030028873, + "avg_pg_create_time_ms": 1.5636188018035782, + "avg_pg_remove_time_ms": 1.396923734234321, "perf_metrics": [ { "perf_metric_name": "avg_pg_create_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.544663453452921 + "perf_metric_value": 1.5636188018035782 }, { "perf_metric_name": "avg_pg_remove_time_ms", "perf_metric_type": "LATENCY", - "perf_metric_value": 1.3276310030028873 + "perf_metric_value": 1.396923734234321 } ], "success": 1 From 46f60f57ea4cf82d5821046f196fff0c33729bd4 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Wed, 3 Sep 2025 13:41:02 -0700 Subject: [PATCH 1018/1566] [Data] - Evaluate Expressions sequentially and upsert columns to block (#56193) ## Why are these changes needed? Previously, the columns were updated after all expressions were evaluated, but this required additional handling in the planner and optimization to handle dependency chaining between columns. In this implementation, each expression will be evaluated and the column will be upserted to the block within the provided Project operator. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Goutam V Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/arrow_block.py | 13 +++++++++++++ python/ray/data/_internal/pandas_block.py | 8 ++++++++ .../ray/data/_internal/planner/plan_udf_map_op.py | 15 +++++---------- python/ray/data/block.py | 13 +++++++++++++ 4 files changed, 39 insertions(+), 10 deletions(-) diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 8f8058cc58c0..9714ecaab709 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -335,6 +335,19 @@ def _zip(self, acc: BlockAccessor) -> "Block": r = r.append_column(col_name, col) return r + def upsert_column( + self, column_name: str, column_data: BlockColumn + ) -> "pyarrow.Table": + assert isinstance( + column_data, (pyarrow.Array, pyarrow.ChunkedArray) + ), f"Expected either a pyarrow.Array or pyarrow.ChunkedArray, got: {type(column_data)}" + + column_idx = self._table.schema.get_field_index(column_name) + if column_idx == -1: + return self._table.append_column(column_name, column_data) + else: + return self._table.set_column(column_idx, column_name, column_data) + @staticmethod def builder() -> ArrowBlockBuilder: return ArrowBlockBuilder() diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index a95ba56691e1..1c82b10cc5c5 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -317,6 +317,14 @@ def select(self, columns: List[str]) -> "pandas.DataFrame": def rename_columns(self, columns_rename: Dict[str, str]) -> "pandas.DataFrame": return self._table.rename(columns=columns_rename, inplace=False, copy=False) + def upsert_column( + self, column_name: str, column_data: BlockColumn + ) -> "pandas.DataFrame": + if isinstance(column_data, (pyarrow.Array, pyarrow.ChunkedArray)): + column_data = column_data.to_pandas() + + return self._table.assign(**{column_name: column_data}) + def random_shuffle(self, random_seed: Optional[int]) -> "pandas.DataFrame": table = self._table.sample(frac=1, random_state=random_seed) table.reset_index(drop=True, inplace=True) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index a27a9a2ec9fb..3809bcafd8a5 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -128,19 +128,14 @@ def fn(block: Block) -> Block: # 1. evaluate / add expressions if exprs: block_accessor = BlockAccessor.for_block(block) - new_columns = {} - for col_name in block_accessor.column_names(): - # For Arrow blocks, block[col_name] gives us a ChunkedArray - # For Pandas blocks, block[col_name] gives us a Series - new_columns[col_name] = block[col_name] - # Add/update with expression results + result_block = block for name, expr in exprs.items(): - result = eval_expr(expr, block) - new_columns[name] = result + result = eval_expr(expr, result_block) + result_block_accessor = BlockAccessor.for_block(result_block) + result_block = result_block_accessor.upsert_column(name, result) - # Create a new block from the combined columns and add it - block = BlockAccessor.batch_to_block(new_columns) + block = result_block # 2. (optional) column projection if columns: diff --git a/python/ray/data/block.py b/python/ray/data/block.py index 073033d1ef1e..6cbeeeae387b 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -343,6 +343,19 @@ def rename_columns(self, columns_rename: Dict[str, str]) -> Block: """Return the block reflecting the renamed columns.""" raise NotImplementedError + def upsert_column(self, column_name: str, column_data: BlockColumn) -> Block: + """ + Upserts a column into the block. If the column already exists, it will be replaced. + + Args: + column_name: The name of the column to upsert. + column_data: The data to upsert into the column. (Arrow Array/ChunkedArray for Arrow blocks, Series or array-like for Pandas blocks) + + Returns: + The updated block. + """ + raise NotImplementedError() + def random_shuffle(self, random_seed: Optional[int]) -> Block: """Randomly shuffle this block.""" raise NotImplementedError From 7503da4a28b7f37585ef3df9259988a49b8067b4 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Wed, 3 Sep 2025 14:06:56 -0700 Subject: [PATCH 1019/1566] [serve.llm] Remove upstreamed workarounds 1/3 (#54512) Signed-off-by: Seiji Eicher Signed-off-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../llm/_internal/serve/deployments/llm/vllm/vllm_engine.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index 9df60582bf2a..b1e9457c8e74 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -4,7 +4,6 @@ from starlette.datastructures import State from starlette.requests import Request -from transformers.dynamic_module_utils import init_hf_modules from vllm.engine.arg_utils import AsyncEngineArgs from vllm.entrypoints.openai.cli_args import FrontendArgs from vllm.entrypoints.openai.protocol import ErrorResponse as VLLMErrorResponse @@ -110,10 +109,6 @@ def __init__( """ super().__init__(llm_config) - # Ensure transformers_modules is initialized early in worker processes. - # This is critical for models with trust_remote_code=True to avoid pickle errors. - init_hf_modules() - self.llm_config = llm_config if vllm is None: From c2214785d7096ac78f67f2bde30b2ce424ad87b4 Mon Sep 17 00:00:00 2001 From: Hassam Ullah Sheikh Date: Wed, 3 Sep 2025 17:48:19 -0400 Subject: [PATCH 1020/1566] [docs] Fix/docs key concepts (#56083) Signed-off-by: Douglas Strodtman --- doc/source/_static/css/custom.css | 14 ++++++++++++++ doc/source/rllib/key-concepts.rst | 4 ++-- 2 files changed, 16 insertions(+), 2 deletions(-) diff --git a/doc/source/_static/css/custom.css b/doc/source/_static/css/custom.css index 24ed4992b2ba..4d685fdb4dea 100644 --- a/doc/source/_static/css/custom.css +++ b/doc/source/_static/css/custom.css @@ -408,4 +408,18 @@ readthedocs-flyout { /* Styling the experimental Anyscale upsell CTA */ .anyscale-cta { margin-bottom: 16px; +} + + +/* Prevent text wrapping around left-aligned images on ultra-wide screens */ +@media (min-width: 1600px) { + .bd-content .align-left, + .bd-content .figure.align-left, + .bd-content img.align-left { + float: none !important; + display: block; + clear: both; + margin-left: 0 !important; + margin-right: 0 !important; + } } \ No newline at end of file diff --git a/doc/source/rllib/key-concepts.rst b/doc/source/rllib/key-concepts.rst index 18bbb82f91fa..6d89d5ea9154 100644 --- a/doc/source/rllib/key-concepts.rst +++ b/doc/source/rllib/key-concepts.rst @@ -142,7 +142,7 @@ and the rules that govern environment transitions when applying actions. A simple **RL environment** where an agent starts with an initial observation returned by the ``reset()`` method. The agent, possibly controlled by a neural network policy, sends actions, like ``right`` or ``jump``, - to the environmant's ``step()`` method, which returns a reward. Here, the reward values are +5 for reaching the goal + to the environment's ``step()`` method, which returns a reward. Here, the reward values are +5 for reaching the goal and 0 otherwise. The environment also returns a boolean flag indicating whether the episode is complete. Environments may vary in complexity, from simple tasks, like navigating a grid world, to highly intricate systems, like autonomous @@ -184,7 +184,7 @@ network models and defines how to use them during the three phases of its RL lif **Exploration**, for collecting training data, **inference** when computing actions for evaluation or in production, and **training** for computing the loss function inputs. -You can chose to use :ref:`RLlib's built-in default models and configure these ` as needed, +You can choose to use :ref:`RLlib's built-in default models and configure these ` as needed, for example for changing the number of layers or the activation functions, or :ref:`write your own custom models in PyTorch `, allowing you to implement any architecture and computation logic. From a27f1759ec491e20e59729ee6b47cf7b87dd9026 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 3 Sep 2025 14:54:48 -0700 Subject: [PATCH 1021/1566] [ci] Raydepsets: Enable defining packages in depset configs (#56169) Enable defining explicit packages in depset config - Added unit tests - Made requirements optional (relying on uv to throw errors if requirements / packages are not present in a depset) - added stdin var to pass packages as stdin to the uv command These changes allow a user to define ray[all]==100.0.0-dev as a requirement in the depset config which removes the need to create temporary requirements files and echoing packages into them --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 21 ++++++++--- ci/raydepsets/tests/test_cli.py | 62 +++++++++++++++++++++++++-------- ci/raydepsets/workspace.py | 10 +++--- 3 files changed, 71 insertions(+), 22 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 70d5287ab680..f7aa52c316f5 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -105,10 +105,12 @@ def execute(self): depset = self.build_graph.nodes[node]["depset"] self.execute_single(depset) - def exec_uv_cmd(self, cmd: str, args: List[str]) -> str: + def exec_uv_cmd( + self, cmd: str, args: List[str], stdin: Optional[bytes] = None + ) -> str: cmd = [self._uv_binary, "pip", cmd, *args] click.echo(f"Executing command: {cmd}") - status = subprocess.run(cmd, cwd=self.workspace.dir) + status = subprocess.run(cmd, cwd=self.workspace.dir, input=stdin) if status.returncode != 0: raise RuntimeError(f"Failed to execute command: {cmd}") return status.stdout @@ -122,6 +124,7 @@ def execute_single(self, depset: Depset): output=depset.output, append_flags=depset.append_flags, override_flags=depset.override_flags, + packages=depset.packages, ) elif depset.operation == "subset": self.subset( @@ -147,14 +150,16 @@ def execute_single(self, depset: Depset): def compile( self, constraints: List[str], - requirements: List[str], name: str, output: str, append_flags: Optional[List[str]] = None, override_flags: Optional[List[str]] = None, + packages: Optional[List[str]] = None, + requirements: Optional[List[str]] = None, ): """Compile a dependency set.""" args = DEFAULT_UV_FLAGS.copy() + stdin = None if self._uv_cache_dir: args.extend(["--cache-dir", self._uv_cache_dir]) if override_flags: @@ -167,9 +172,13 @@ def compile( if requirements: for requirement in requirements: args.extend([requirement]) + if packages: + # need to add a dash to process stdin + args.append("-") + stdin = _get_bytes(packages) if output: args.extend(["-o", output]) - self.exec_uv_cmd("compile", args) + self.exec_uv_cmd("compile", args, stdin) def subset( self, @@ -230,6 +239,10 @@ def check_subset_exists(self, source_depset: Depset, requirements: List[str]): ) +def _get_bytes(packages: List[str]) -> bytes: + return ("\n".join(packages) + "\n").encode("utf-8") + + def _get_depset(depsets: List[Depset], name: str) -> Depset: for depset in depsets: if depset.name == name: diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 052a34e0de40..dc57eda57e52 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -1,4 +1,3 @@ -import shutil import subprocess import sys import tempfile @@ -97,20 +96,12 @@ def test_uv_version(self): assert result.stderr.decode("utf-8") == "" def test_compile(self): - compiled_file = Path( - _runfiles.Rlocation( - f"{_REPO_NAME}/ci/raydepsets/tests/test_data/requirements_compiled_test.txt" - ) - ) - output_file = Path( - _runfiles.Rlocation( - f"{_REPO_NAME}/ci/raydepsets/tests/test_data/requirements_compiled.txt" - ) - ) - shutil.copy(compiled_file, output_file) - with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) + save_file_as( + Path(tmpdir) / "requirements_compiled_test.txt", + Path(tmpdir) / "requirements_compiled.txt", + ) manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], @@ -135,7 +126,7 @@ def test_compile_update_package(self): output_file = Path( _runfiles.Rlocation(f"{tmpdir}/requirements_compiled.txt") ) - shutil.copy(compiled_file, output_file) + save_file_as(compiled_file, output_file) manager = _create_test_manager(tmpdir) manager.compile( constraints=["requirement_constraints_test.txt"], @@ -559,6 +550,49 @@ def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): with self.assertRaises(KeyError): _get_depset(manager.config.depsets, "build_args_test_depset_py311") + def test_compile_with_packages(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + save_file_as( + Path(tmpdir) / "requirements_compiled_test.txt", + Path(tmpdir) / "requirements_compiled_test_packages.txt", + ) + manager = _create_test_manager(tmpdir) + manager.compile( + constraints=["requirement_constraints_test.txt"], + packages=["emoji==2.9.0", "pyperclip==1.6.0"], + append_flags=["--no-annotate", "--no-header"], + name="packages_test_depset", + output="requirements_compiled_test_packages.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled_test_packages.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + + def test_compile_with_packages_and_requirements(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + save_file_as( + Path(tmpdir) / "requirements_compiled_test.txt", + Path(tmpdir) / "requirements_compiled_test_packages.txt", + ) + manager = _create_test_manager(tmpdir) + manager.compile( + constraints=["requirement_constraints_test.txt"], + packages=["emoji==2.9.0", "pyperclip==1.6.0"], + requirements=["requirements_test.txt"], + append_flags=["--no-annotate", "--no-header"], + name="packages_test_depset", + output="requirements_compiled_test_packages.txt", + ) + output_file = Path(tmpdir) / "requirements_compiled_test_packages.txt" + output_text = output_file.read_text() + output_file_valid = Path(tmpdir) / "requirements_compiled_test.txt" + output_text_valid = output_file_valid.read_text() + assert output_text == output_text_valid + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 68d0f9f9bcf6..46d9f74223f0 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -15,11 +15,12 @@ class BuildArgSet: class Depset: name: str operation: str - requirements: List[str] - constraints: List[str] output: str - override_flags: List[str] - append_flags: List[str] + constraints: Optional[List[str]] = None + override_flags: Optional[List[str]] = None + append_flags: Optional[List[str]] = None + requirements: Optional[List[str]] = None + packages: Optional[List[str]] = None source_depset: Optional[str] = None depsets: Optional[List[str]] = None @@ -49,6 +50,7 @@ def _dict_to_depset(depset: dict) -> Depset: depsets=depset.get("depsets", []), override_flags=depset.get("override_flags", []), append_flags=depset.get("append_flags", []), + packages=depset.get("packages", []), ) From 8a19ff4761c3709e2a620650278e4d1e9ae16a92 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 3 Sep 2025 15:46:54 -0700 Subject: [PATCH 1022/1566] [data] remove metadata for hashing + truncate warning logs (#56093) ## Why are these changes needed? We need schemas to be hashable for schema deduplication. We previously removed metadata in Refbundle Creation, however, it can be called without a refbundle. For example, it can happen in delegating block builder ``` def concat( blocks: List["pyarrow.Table"], *, promote_types: bool = False ) -> "pyarrow.Table": ``` or implicity called when calling `count` on a dataset ``` def _cached_output_metadata # will grab all the metadata(including schema), not just rows ``` or in `BlockOutputBuffer` - This PR also reduces the log warning to truncate too. To centralize, added it in unify_schemas ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/arrow_ops/transform_pyarrow.py | 5 ++++- .../ray/data/_internal/execution/interfaces/ref_bundle.py | 7 ------- .../data/_internal/execution/streaming_executor_state.py | 2 +- 3 files changed, 5 insertions(+), 9 deletions(-) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index 04f8b5468f3f..ae0c72389c07 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -179,13 +179,16 @@ def unify_schemas( ArrowVariableShapedTensorType, ) + # The schema metadata might be unhashable. + # We need schemas to be hashable for unification + schemas = [schema.remove_metadata() for schema in schemas] try: if len(set(schemas)) == 1: # Early exit because unifying can be expensive return schemas.pop() except Exception as e: # Unsure if there are cases where schemas are NOT hashable - logger.warning(f"Failed to hash the schemas (for deduplication): {e}") + logger.debug(f"Failed to hash the schemas (for deduplication): {e}") schemas_to_unify = [] schema_field_overrides = {} diff --git a/python/ray/data/_internal/execution/interfaces/ref_bundle.py b/python/ray/data/_internal/execution/interfaces/ref_bundle.py index 310acf160b07..50c905803d2a 100644 --- a/python/ray/data/_internal/execution/interfaces/ref_bundle.py +++ b/python/ray/data/_internal/execution/interfaces/ref_bundle.py @@ -63,13 +63,6 @@ def __post_init__(self): "The size in bytes of the block must be known: {}".format(b) ) - import pyarrow as pa - - # The schema metadata might be unhashable. - # We need schemas to be hashable for unification - if isinstance(self.schema, pa.lib.Schema): - self.schema = self.schema.remove_metadata() - def __setattr__(self, key, value): if hasattr(self, key) and key in ["blocks", "owns_blocks"]: raise ValueError(f"The `{key}` field of RefBundle cannot be updated.") diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index bd4634900651..c3d7ae8e95dc 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -790,7 +790,7 @@ def dedupe_schemas_with_validation( return bundle, diverged diverged = True - if warn: + if warn and enforce_schemas: logger.warning( f"Operator produced a RefBundle with a different schema " f"than the previous one. Previous schema: {old_schema}, " From ebbda3a2f2d59689e20cf4b307f4db87994c90d0 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Wed, 3 Sep 2025 16:33:44 -0700 Subject: [PATCH 1023/1566] [Core] Fix enable_tensor_transport in gpu microbenchmark (#56210) Signed-off-by: Douglas Strodtman --- .../microbenchmark/experimental/gpu_object_microbenchmark.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/release/microbenchmark/experimental/gpu_object_microbenchmark.py b/release/microbenchmark/experimental/gpu_object_microbenchmark.py index 67deb9cb05c7..bded6c4acc76 100644 --- a/release/microbenchmark/experimental/gpu_object_microbenchmark.py +++ b/release/microbenchmark/experimental/gpu_object_microbenchmark.py @@ -27,7 +27,7 @@ class BackendConfig: BACKEND_CONFIG = { "gloo": BackendConfig( - init_actor_kwargs={"enable_tensor_transport": True}, + init_actor_kwargs={}, send_method_kwargs={"tensor_transport": "gloo"}, device=torch.device("cpu"), collective_group_backend="torch_gloo", @@ -51,7 +51,7 @@ class BackendConfig: } -@ray.remote +@ray.remote(enable_tensor_transport=True) class Actor: def __init__( self, From 428ca248877e86a2aec032d2f2f2b1f8a0ccba26 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Wed, 3 Sep 2025 16:34:03 -0700 Subject: [PATCH 1024/1566] [serve] Add accessor for `DeploymentResponse`'s `_by_reference` value (#56199) ## Why are these changes needed? Add accessor for `DeploymentResponse`'s `_by_reference` value ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/handle.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/python/ray/serve/handle.py b/python/ray/serve/handle.py index 929cb6682c27..f5ecf3661d83 100644 --- a/python/ray/serve/handle.py +++ b/python/ray/serve/handle.py @@ -270,6 +270,10 @@ def __init__( def request_id(self) -> str: return self._request_metadata.request_id + @property + def by_reference(self) -> bool: + return self._request_metadata._by_reference + def _fetch_future_result_sync( self, _timeout_s: Optional[float] = None ) -> ReplicaResult: From 6daa270ed752f3d6d9fa4cb354e91b465d7cd8f8 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Wed, 3 Sep 2025 16:59:10 -0700 Subject: [PATCH 1025/1566] [Train] Add local mode support to Ray Train v2 (num_workers=0) (#55487) This PR implements local mode support for Ray Train v2, allowing training functions to run in the same process when `num_workers=0` is specified in the `ScalingConfig`. This feature provides a lightweight alternative for development, debugging, and single-node training scenarios. ### Key Changes: #### Core Infrastructure - **Abstract TrainContext**: Refactored `TrainContext` to be an abstract base class with concrete implementations for distributed and local modes - Created `LocalTrainContext` and `DistributedTrainContext` implementations - **TrainFnUtils Implementations**: - `DistributedTrainFnUtils`: Handles distributed training scenarios - `LocalTrainFnUtils`: Provides local mode implementation with simulated distributed training APIs - **LocalController**: New controller class for managing local mode training execution #### API Enhancements - **ScalingConfig**: Added support for `num_workers=0` with informational logging - **DataParallelTrainer**: Enhanced to detect local mode and route to appropriate controller #### Framework Integration - **PyTorch**: Updated device detection to work correctly in local mode - **Other Frameworks**: Full support for TensorFlow, Lightning, LightGBM, JAX, Xgboost, and HuggingFace Transformers #### Testing - **Comprehensive Test Suite**: Added extensive tests covering all supported frameworks in local mode - **Edge Cases**: Validation of metrics reporting, checkpointing, and dataset handling ### Usage Example: ```python from ray.train import ScalingConfig from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer def train_fn(): # Your training code here ray.train.report({"accuracy": 0.95}) trainer = DataParallelTrainer( train_fn, scaling_config=ScalingConfig(num_workers=0) # Local mode ) result = trainer.fit() ``` --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Signed-off-by: matthewdeng Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- .gitignore | 4 + python/ray/train/torch/__init__.py | 2 + python/ray/train/v2/BUILD | 16 + .../_internal/execution/local_mode_utils.py | 40 ++ .../v2/_internal/execution/train_fn_utils.py | 150 ++++- .../execution/worker_group/worker.py | 4 +- python/ray/train/v2/api/config.py | 11 +- python/ray/train/v2/api/context.py | 81 ++- .../ray/train/v2/api/data_parallel_trainer.py | 66 ++- python/ray/train/v2/tests/test_local_mode.py | 522 ++++++++++++++++++ python/ray/train/v2/torch/train_loop_utils.py | 24 +- python/ray/train/v2/xgboost/__init__.py | 2 + python/ray/train/v2/xgboost/config.py | 21 + python/ray/train/xgboost/__init__.py | 1 + 14 files changed, 889 insertions(+), 55 deletions(-) create mode 100644 python/ray/train/v2/_internal/execution/local_mode_utils.py create mode 100644 python/ray/train/v2/tests/test_local_mode.py create mode 100644 python/ray/train/v2/xgboost/config.py diff --git a/.gitignore b/.gitignore index 81d26138d2cf..5e7bbfa27cfa 100644 --- a/.gitignore +++ b/.gitignore @@ -154,6 +154,10 @@ scripts/nodes.txt .benchmarks python-driver-* +# Ray Train unit test artifacts +lightning_logs/ +hf-internal-testing/ + # Vscode .vscode/ diff --git a/python/ray/train/torch/__init__.py b/python/ray/train/torch/__init__.py index db989336afd1..1774b98cb18a 100644 --- a/python/ray/train/torch/__init__.py +++ b/python/ray/train/torch/__init__.py @@ -30,6 +30,8 @@ accelerate, backward, enable_reproducibility, + get_device, + get_devices, prepare_data_loader, prepare_model, prepare_optimizer, diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD index de2284e3a96e..7ec0bed9018e 100644 --- a/python/ray/train/v2/BUILD +++ b/python/ray/train/v2/BUILD @@ -516,3 +516,19 @@ py_test( "//:ray_lib", ], ) + +py_test( + name = "test_local_mode", + size = "medium", + srcs = ["tests/test_local_mode.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) diff --git a/python/ray/train/v2/_internal/execution/local_mode_utils.py b/python/ray/train/v2/_internal/execution/local_mode_utils.py new file mode 100644 index 000000000000..06a1d12627ac --- /dev/null +++ b/python/ray/train/v2/_internal/execution/local_mode_utils.py @@ -0,0 +1,40 @@ +import logging +from typing import Callable, Dict, Optional + +from ray.train import Result +from ray.train.trainer import GenDataset +from ray.train.v2._internal.execution.train_fn_utils import ( + LocalTrainFnUtils, + get_train_fn_utils, + set_train_fn_utils, +) + +logger = logging.getLogger(__name__) + + +class LocalController: + def __init__( + self, experiment_name: str, datasets: Optional[Dict[str, GenDataset]] = None + ): + if datasets is not None: + datasets = {k: v() if callable(v) else v for k, v in datasets.items()} + + self.datasets = datasets + self.experiment_name = experiment_name + + def run(self, train_func: Callable[[], None]) -> Result: + set_train_fn_utils( + LocalTrainFnUtils( + experiment_name=self.experiment_name, + dataset_shards=self.datasets, + ) + ) + train_func() + train_fn_utils = get_train_fn_utils() + assert isinstance(train_fn_utils, LocalTrainFnUtils) + return Result( + metrics=train_fn_utils._get_last_metrics(), + checkpoint=train_fn_utils.get_checkpoint(), + path=None, + error=None, + ) diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 3fb791b667d6..a5caad707c15 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -1,4 +1,6 @@ +import logging import threading +from abc import ABC, abstractmethod from typing import TYPE_CHECKING, Any, Dict, List, Optional from ray.data import DataIterator @@ -6,21 +8,28 @@ from ray.train.v2._internal.execution.context import ( get_train_context as get_internal_train_context, ) -from ray.train.v2.api.context import TrainContext as ExternalTrainContext +from ray.train.v2.api.context import ( + DistributedTrainContext, + LocalTrainContext, + TrainContext as ExternalTrainContext, +) + +logger = logging.getLogger(__name__) if TYPE_CHECKING: from ray.train import Checkpoint from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint -class TrainFnUtils: +class TrainFnUtils(ABC): """Utility class providing an abstraction layer between user-facing APIs - and :class:`~ray.train.v2._internal.execution.context.TrainContext`. + and :class:`~ray.train.v2.api.context.TrainContext`. - It should be set before the users' training function is called, like training workers initialization. + It should be set before the users' training function is called. This class can be patched if new user APIs behaviors is wanted. """ + @abstractmethod def report( self, metrics: Dict[str, Any], @@ -37,18 +46,18 @@ def report( be stored in the default storage path. If set, make sure this value is unique for each iteration. """ - return get_internal_train_context().report( - metrics, checkpoint, checkpoint_dir_name - ) + pass - def get_checkpoint(self): + @abstractmethod + def get_checkpoint(self) -> Optional["Checkpoint"]: """Get the latest checkpoint to resume training from. Returns: The latest checkpoint if available, None otherwise. """ - return get_internal_train_context().get_checkpoint() + pass + @abstractmethod def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: """Get all the checkpoints reported by the workers. @@ -56,10 +65,11 @@ def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: A list of ReportedCheckpoint objects that represent the checkpoints and corresponding metrics reported by the workers. """ - return get_internal_train_context().get_all_reported_checkpoints() + pass + @abstractmethod def get_dataset_shard(self, dataset_name: str) -> DataIterator: - """Get the dataset shard for this worker. + """Get the dataset shard for this training process. This method is used by the public API function :func:`ray.train.get_dataset_shard`. Users should typically call ``ray.train.get_dataset_shard()`` instead of calling this method directly. @@ -70,17 +80,23 @@ def get_dataset_shard(self, dataset_name: str) -> DataIterator: Returns: The DataIterator shard for this worker. """ - from ray.train.v2._internal.data_integration.interfaces import ( - DatasetShardMetadata, - ) - - return get_internal_train_context().get_dataset_shard( - DatasetShardMetadata(dataset_name=dataset_name) - ) + pass + @abstractmethod def get_context(self) -> ExternalTrainContext: - return ExternalTrainContext() + """Get the TrainContext for this training process. + The specific type of TrainContext returned depends on the implementation of TrainFnUtils. + Returns: + The train context for this training process. + """ + pass + + @abstractmethod + def is_distributed(self) -> bool: + pass + + @abstractmethod def barrier(self) -> None: """Create a barrier across all workers. @@ -89,16 +105,110 @@ def barrier(self) -> None: This method is used by the public API function :func:`ray.train.collective.barrier`. Users should typically call ``ray.train.collective.barrier()`` instead of calling this method directly. """ - return collective_impl.barrier() + pass + @abstractmethod def broadcast_from_rank_zero(self, data: Any) -> Any: """Broadcast data from the rank 0 worker to all other workers. This method is used by the public API function :func:`ray.train.collective.broadcast_from_rank_zero`. Users should typically call ``ray.train.collective.broadcast_from_rank_zero()`` instead of calling this method directly. """ + pass + + +class DistributedTrainFnUtils(TrainFnUtils): + def report( + self, + metrics: Dict[str, Any], + checkpoint: Optional["Checkpoint"] = None, + checkpoint_dir_name: Optional[str] = None, + ) -> None: + return get_internal_train_context().report( + metrics, checkpoint, checkpoint_dir_name + ) + + def get_checkpoint(self): + return get_internal_train_context().get_checkpoint() + + def get_dataset_shard(self, dataset_name: str) -> DataIterator: + from ray.train.v2._internal.data_integration.interfaces import ( + DatasetShardMetadata, + ) + + return get_internal_train_context().get_dataset_shard( + DatasetShardMetadata(dataset_name=dataset_name) + ) + + def get_context(self) -> DistributedTrainContext: + return DistributedTrainContext() + + def is_distributed(self) -> bool: + return True + + def barrier(self) -> None: + return collective_impl.barrier() + + def broadcast_from_rank_zero(self, data: Any) -> Any: return collective_impl.broadcast_from_rank_zero(data) + def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: + return get_internal_train_context().get_all_reported_checkpoints() + + +class LocalTrainFnUtils(TrainFnUtils): + def __init__( + self, + experiment_name: str, + dataset_shards: Optional[Dict[str, DataIterator]] = None, + ): + self._context = LocalTrainContext( + experiment_name=experiment_name, + ) + self._dataset_shards = dataset_shards + self._last_metrics = None + self._last_checkpoint = None + + def report( + self, + metrics: Dict[str, Any], + checkpoint: Optional["Checkpoint"] = None, + checkpoint_dir_name: Optional[str] = None, + ) -> None: + self._last_metrics = metrics + self._last_checkpoint = checkpoint + logger.info(f"Reported metrics: {metrics}") + + def get_checkpoint(self) -> Optional["Checkpoint"]: + return self._last_checkpoint + + def get_dataset_shard(self, dataset_name: str) -> DataIterator: + assert ( + self._dataset_shards is not None and dataset_name in self._dataset_shards + ), f"Dataset shard {dataset_name} not found." + return self._dataset_shards[dataset_name] + + def get_context(self) -> LocalTrainContext: + return self._context + + def is_distributed(self) -> bool: + return False + + def barrier(self) -> None: + pass + + def broadcast_from_rank_zero(self, data: Any) -> Any: + return data + + def _get_last_metrics(self) -> Optional[Dict[str, Any]]: + """Return the last metrics reported by the training function. + This function should only be called by LocalController + """ + return self._last_metrics + + def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: + return [] + _train_fn_utils: Optional[TrainFnUtils] = None _train_fn_utils_lock = threading.Lock() diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 8afc8a7b681e..2735a3991bbd 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -30,7 +30,7 @@ ) from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.execution.train_fn_utils import ( - TrainFnUtils, + DistributedTrainFnUtils, set_train_fn_utils, ) from ray.train.v2._internal.execution.worker_group.poll import WorkerStatus @@ -228,7 +228,7 @@ def init_train_context( set_train_context(context) # user facing train fn utils - set_train_fn_utils(TrainFnUtils()) + set_train_fn_utils(DistributedTrainFnUtils()) for callback in self._callbacks: callback.after_init_train_context() diff --git a/python/ray/train/v2/api/config.py b/python/ray/train/v2/api/config.py index 665b3998cf70..7935c3ba6dcb 100644 --- a/python/ray/train/v2/api/config.py +++ b/python/ray/train/v2/api/config.py @@ -33,7 +33,9 @@ class ScalingConfig(ScalingConfigV1): num_workers: The number of workers (Ray actors) to launch. Each worker will reserve 1 CPU by default. The number of CPUs reserved by each worker can be overridden with the - ``resources_per_worker`` argument. + ``resources_per_worker`` argument. If the number of workers is 0, + the training function will run in local mode, meaning the training + function runs in the same process. use_gpu: If True, training will be done on GPUs (1 per worker). Defaults to False. The number of GPUs reserved by each worker can be overridden with the ``resources_per_worker`` @@ -119,6 +121,13 @@ def __post_init__(self): "`use_tpu=True` and `num_workers` > 1." ) + if self.num_workers == 0: + logger.info( + "Running in local mode. The training function will run in the same process. " + "If you are using it and running into issues please file a report at " + "https://github.com/ray-project/ray/issues." + ) + super().__post_init__() @property diff --git a/python/ray/train/v2/api/context.py b/python/ray/train/v2/api/context.py index c2fce63e430f..6d8896a1364a 100644 --- a/python/ray/train/v2/api/context.py +++ b/python/ray/train/v2/api/context.py @@ -1,3 +1,4 @@ +from abc import ABC, abstractmethod from typing import Any, Dict from ray.train.v2._internal.execution.context import ( @@ -7,7 +8,9 @@ @PublicAPI(stability="stable") -class TrainContext: +class TrainContext(ABC): + """Abstract interface for training context.""" + @Deprecated def get_metadata(self) -> Dict[str, Any]: """[Deprecated] User metadata dict passed to the Trainer constructor.""" @@ -55,10 +58,12 @@ def get_trial_dir(self) -> str: _TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE.format("get_trial_dir") ) + @abstractmethod def get_experiment_name(self) -> str: """Experiment name for the corresponding trial.""" - return get_internal_train_context().get_experiment_name() + pass + @abstractmethod def get_world_size(self) -> int: """Get the current world size (i.e. total number of workers) for this run. @@ -85,8 +90,9 @@ def train_loop_per_worker(config): ... """ - return get_internal_train_context().get_world_size() + pass + @abstractmethod def get_world_rank(self) -> int: """Get the world rank of this worker. @@ -112,8 +118,9 @@ def train_loop_per_worker(config): ... """ - return get_internal_train_context().get_world_rank() + pass + @abstractmethod def get_local_rank(self) -> int: """Get the local rank of this worker (rank of the worker on its node). @@ -142,8 +149,9 @@ def train_loop_per_worker(config): ... """ - return get_internal_train_context().get_local_rank() + pass + @abstractmethod def get_local_world_size(self) -> int: """Get the local world size of this node (i.e. number of workers on this node). @@ -170,8 +178,9 @@ def train_loop_per_worker(): ... """ - return get_internal_train_context().get_local_world_size() + pass + @abstractmethod def get_node_rank(self) -> int: """Get the rank of this node. @@ -198,9 +207,10 @@ def train_loop_per_worker(): ... """ - return get_internal_train_context().get_node_rank() + pass @DeveloperAPI + @abstractmethod def get_storage(self): """Returns the :class:`~ray.train._internal.storage.StorageContext` storage context which gives advanced access to the filesystem and paths @@ -209,4 +219,61 @@ def get_storage(self): NOTE: This is a developer API, and the `StorageContext` interface may change without notice between minor versions. """ + pass + + +class DistributedTrainContext(TrainContext): + """Implementation of TrainContext for distributed mode.""" + + def get_experiment_name(self) -> str: + return get_internal_train_context().get_experiment_name() + + def get_world_size(self) -> int: + return get_internal_train_context().get_world_size() + + def get_world_rank(self) -> int: + return get_internal_train_context().get_world_rank() + + def get_local_rank(self) -> int: + return get_internal_train_context().get_local_rank() + + def get_local_world_size(self) -> int: + return get_internal_train_context().get_local_world_size() + + def get_node_rank(self) -> int: + return get_internal_train_context().get_node_rank() + + def get_storage(self): return get_internal_train_context().get_storage() + + +class LocalTrainContext(TrainContext): + """Implementation of TrainContext for local mode.""" + + def __init__( + self, + experiment_name: str, + ): + self.experiment_name = experiment_name + + def get_experiment_name(self) -> str: + return self.experiment_name + + def get_world_size(self) -> int: + return 1 + + def get_world_rank(self) -> int: + return 0 + + def get_local_rank(self) -> int: + return 0 + + def get_local_world_size(self) -> int: + return 1 + + def get_node_rank(self) -> int: + """For local mode, we only use one node.""" + return 0 + + def get_storage(self): + raise NotImplementedError("Local storage context not yet implemented. ") diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 6eef7c9bb247..079e6bfe3038 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -46,6 +46,7 @@ from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.controller import TrainController from ray.train.v2._internal.execution.failure_handling import create_failure_policy +from ray.train.v2._internal.execution.local_mode_utils import LocalController from ray.train.v2._internal.execution.scaling_policy import create_scaling_policy from ray.train.v2._internal.util import ObjectRefWrapper, construct_train_func from ray.train.v2.api.callback import UserCallback @@ -86,6 +87,8 @@ def __init__( self.datasets = datasets or {} self.data_config = dataset_config or DataConfig() + self.running_in_local_mode = self.scaling_config.num_workers == 0 + self.train_run_context = TrainRunContext( run_config=self.run_config, train_loop_config=self.train_loop_config, @@ -104,6 +107,14 @@ def __init__( usage_lib.record_library_usage("train") tag_train_v2_trainer(self) + def _get_train_func(self) -> Callable[[], None]: + return construct_train_func( + self.train_loop_per_worker, + config=self.train_loop_config, + train_func_context=self.backend_config.train_func_context, + fn_arg_name="train_loop_per_worker", + ) + def fit(self) -> Result: """Launches the Ray Train controller to run training on workers. @@ -114,31 +125,35 @@ def fit(self) -> Result: ray.train.v2.api.exceptions.ControllerError: If a non-retryable error occurs in the Ray Train controller itself, or if the number of retries configured in `FailureConfig` is exhausted. ray.train.v2.api.exceptions.WorkerGroupError: If one or more workers fail during training and the number of retries configured in `FailureConfig` is exhausted. """ - train_fn = construct_train_func( - self.train_loop_per_worker, - config=self.train_loop_config, - train_func_context=self.backend_config.train_func_context, - fn_arg_name="train_loop_per_worker", - ) - train_fn_ref = ObjectRefWrapper(train_fn) - - result = self._initialize_and_run_controller( - train_fn_ref=train_fn_ref, - scaling_policy=create_scaling_policy(self.scaling_config), - failure_policy=create_failure_policy(self.run_config.failure_config), - train_run_context=self.train_run_context, - callbacks=self._create_default_callbacks(), - ) + train_fn = self._get_train_func() + if self.running_in_local_mode: + return self._initialize_and_run_local_controller(train_fn) + else: + train_fn_ref = ObjectRefWrapper(train_fn) + + result = self._initialize_and_run_controller( + train_fn_ref=train_fn_ref, + scaling_policy=create_scaling_policy(self.scaling_config), + failure_policy=create_failure_policy(self.run_config.failure_config), + train_run_context=self.train_run_context, + callbacks=self._create_default_callbacks(), + ) - if result.error: - # NOTE: If the training run errored out, raise an error back to the - # user's driver script. - # For example, if the Train `FailurePolicy` runs out of retries, - # and one of the workers errors. The controller will exit, and - # the error will be raised here. - raise result.error + if result.error: + # NOTE: If the training run errored out, raise an error back to the + # user's driver script. + # For example, if the Train `FailurePolicy` runs out of retries, + # and one of the workers errors. The controller will exit, and + # the error will be raised here. + raise result.error - return result + return result + + def _get_local_controller(self) -> LocalController: + return LocalController( + experiment_name=self.run_config.name, + datasets=self.datasets, + ) def _create_default_callbacks(self) -> List[RayTrainCallback]: # Initialize callbacks from environment variable @@ -194,6 +209,11 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: ) return callbacks + def _initialize_and_run_local_controller( + self, train_func: Callable[[], None] + ) -> Result: + return self._get_local_controller().run(train_func) + def _initialize_and_run_controller(self, **controller_init_kwargs) -> Result: # Attach the controller to the node running the driver script. controller_actor_cls = ray.remote( diff --git a/python/ray/train/v2/tests/test_local_mode.py b/python/ray/train/v2/tests/test_local_mode.py new file mode 100644 index 000000000000..3f690c8ee09f --- /dev/null +++ b/python/ray/train/v2/tests/test_local_mode.py @@ -0,0 +1,522 @@ +import math +import sys +from unittest.mock import MagicMock + +import lightgbm +import pandas as pd +import pytest +import xgboost +from datasets import Dataset +from sklearn.datasets import load_breast_cancer +from sklearn.model_selection import train_test_split +from transformers import AutoConfig, AutoModelForCausalLM, Trainer, TrainingArguments + +import ray +from ray.data.preprocessors import Concatenator +from ray.tests.conftest import _ray_start_cluster +from ray.train import ScalingConfig +from ray.train.constants import TRAIN_DATASET_KEY +from ray.train.examples.pytorch.torch_linear_example import ( + train_func as linear_train_func, +) +from ray.train.huggingface.transformers import ( + RayTrainReportCallback as HuggingFaceRayTrainReportCallback, + prepare_trainer, +) +from ray.train.lightgbm import ( + LightGBMTrainer, + RayTrainReportCallback as LightGBMRayTrainReportCallback, +) +from ray.train.lightning import ( + RayDDPStrategy, + RayFSDPStrategy, + RayLightningEnvironment, + RayTrainReportCallback as LightningRayTrainReportCallback, +) +from ray.train.lightning._lightning_utils import import_lightning +from ray.train.tests._huggingface_data import train_data, validation_data +from ray.train.tests.lightning_test_utils import DummyDataModule, LinearModule +from ray.train.tests.util import create_dict_checkpoint +from ray.train.torch import TorchTrainer +from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer +from ray.train.v2.jax import JaxTrainer +from ray.train.xgboost import ( + RayTrainReportCallback as XGBoostRayTrainReportCallback, + XGBoostTrainer, +) + +if sys.version_info >= (3, 12): + # Tensorflow is not installed for Python 3.12 because of keras compatibility. + pass +else: + from ray.train.examples.tf.tensorflow_regression_example import ( + train_func as tensorflow_linear_train_func, + ) + from ray.train.tensorflow import TensorflowTrainer + +pl = import_lightning() + + +@pytest.fixture +def ray_start_6_cpus(): + address_info = ray.init(num_cpus=6) + yield address_info + # The code after the yield will run as teardown code. + ray.shutdown() + + +@pytest.fixture +def ray_tpu_single_host(monkeypatch): + """Start a mock single-host TPU Ray cluster with 2x4 v6e (8 chips per host).""" + with _ray_start_cluster() as cluster: + monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v6e-8") + + # Simulate one node with 8 TPU chips. + cluster.add_node( + num_cpus=4, + resources={"TPU": 8}, + ) + + ray.init(address=cluster.address) + + yield cluster + ray.shutdown() + + +def test_data_parallel_trainer_local_mode(): + def train_fn(): + with create_dict_checkpoint({}) as checkpoint: + ray.train.report(metrics={"test": 1}, checkpoint=checkpoint) + + trainer = DataParallelTrainer(train_fn, scaling_config=ScalingConfig(num_workers=0)) + result = trainer.fit() + assert result.metrics == {"test": 1} + assert result.checkpoint + + +def test_jax_trainer_local_mode(ray_tpu_single_host, monkeypatch): + def jax_train_func(): + import jax + + devices = jax.devices() + print(f"Devices on this worker: {devices}") + ray.train.report({"result": [str(d) for d in devices]}) + + mock_jax = MagicMock() + mock_jax.devices.return_value = ["TPU:0"] + monkeypatch.setitem(sys.modules, "jax", mock_jax) + + trainer = JaxTrainer( + train_loop_per_worker=jax_train_func, + scaling_config=ScalingConfig( + num_workers=0, + ), + ) + result = trainer.fit() + assert result.error is None + assert result.metrics == {"result": ["TPU:0"]} + + +def test_lightgbm_trainer_local_mode(ray_start_6_cpus): + def lightgbm_train_fn_per_worker( + config: dict, + label_column: str, + dataset_keys: set, + num_boost_round: int = 10, + ): + remaining_iters = num_boost_round + train_ds_iter = ray.train.get_dataset_shard(TRAIN_DATASET_KEY) + train_df = train_ds_iter.materialize().to_pandas() + + eval_ds_iters = { + k: ray.train.get_dataset_shard(k) + for k in dataset_keys + if k != TRAIN_DATASET_KEY + } + eval_dfs = {k: d.materialize().to_pandas() for k, d in eval_ds_iters.items()} + + train_X, train_y = train_df.drop(label_column, axis=1), train_df[label_column] + train_set = lightgbm.Dataset(train_X, label=train_y) + + # NOTE: Include the training dataset in the evaluation datasets. + # This allows `train-*` metrics to be calculated and reported. + valid_sets = [train_set] + valid_names = [TRAIN_DATASET_KEY] + + for eval_name, eval_df in eval_dfs.items(): + eval_X, eval_y = eval_df.drop(label_column, axis=1), eval_df[label_column] + valid_sets.append(lightgbm.Dataset(eval_X, label=eval_y)) + valid_names.append(eval_name) + + # Add network params of the worker group to enable distributed training. + config.update(ray.train.lightgbm.get_network_params()) + + lightgbm.train( + params=config, + train_set=train_set, + num_boost_round=remaining_iters, + valid_sets=valid_sets, + valid_names=valid_names, + init_model=None, + callbacks=[LightGBMRayTrainReportCallback()], + ) + + data_raw = load_breast_cancer() + dataset_df = pd.DataFrame(data_raw["data"], columns=data_raw["feature_names"]) + dataset_df["target"] = data_raw["target"] + train_df, test_df = train_test_split(dataset_df, test_size=0.3) + + train_df_with_cat = train_df.copy() + test_df_with_cat = test_df.copy() + dataset_shard_size = 1 + train_df_with_cat["categorical_column"] = pd.Series( + (["A", "B"] * math.ceil(len(train_df_with_cat) / dataset_shard_size))[ + : len(train_df_with_cat) + ] + ).astype("category") + test_df_with_cat["categorical_column"] = pd.Series( + (["A", "B"] * math.ceil(len(test_df_with_cat) / dataset_shard_size))[ + : len(test_df_with_cat) + ] + ).astype("category") + + scale_config = ScalingConfig(num_workers=0) + train_dataset = ray.data.from_pandas(train_df_with_cat) + valid_dataset = ray.data.from_pandas(test_df_with_cat) + trainer = LightGBMTrainer( + train_loop_per_worker=lambda: lightgbm_train_fn_per_worker( + config={}, + label_column="target", + dataset_keys={TRAIN_DATASET_KEY, "valid"}, + ), + train_loop_config={ + "objective": "binary", + "metric": ["binary_logloss", "binary_error"], + }, + scaling_config=scale_config, + datasets={TRAIN_DATASET_KEY: train_dataset, "valid": valid_dataset}, + ) + result = trainer.fit() + checkpoint = result.checkpoint + assert checkpoint is not None + + +@pytest.mark.parametrize("datasource", ["dataloader", "datamodule"]) +def test_lightning_trainer_local_mode(ray_start_6_cpus, datasource): + + num_epochs = 1 + batch_size = 8 + dataset_size = 256 + dataset_shard_size = 1 + strategy_name = "ddp" + accelerator = "cpu" + + strategy_map = {"ddp": RayDDPStrategy(), "fsdp": RayFSDPStrategy()} + + def train_loop(): + model = LinearModule(input_dim=32, output_dim=4, strategy=strategy_name) + + strategy = strategy_map[strategy_name] + + trainer = pl.Trainer( + max_epochs=num_epochs, + devices="auto", + accelerator=accelerator, + strategy=strategy, + plugins=[RayLightningEnvironment()], + callbacks=[LightningRayTrainReportCallback()], + ) + + datamodule = DummyDataModule(batch_size, dataset_size) + + if datasource == "dataloader": + trainer.fit( + model, + train_dataloaders=datamodule.train_dataloader(), + val_dataloaders=datamodule.val_dataloader(), + ) + if datasource == "datamodule": + trainer.fit(model, datamodule=datamodule) + + trainer = TorchTrainer( + train_loop_per_worker=train_loop, + scaling_config=ScalingConfig(num_workers=0, use_gpu=(accelerator == "gpu")), + ) + + results = trainer.fit() + assert results.metrics["epoch"] == num_epochs - 1 + assert ( + results.metrics["step"] + == num_epochs * dataset_size / dataset_shard_size / batch_size + ) + assert "loss" in results.metrics + assert "val_loss" in results.metrics + + +def test_tensorflow_linear_local_mode(ray_start_4_cpus): + """Also tests air Keras callback.""" + epochs = 1 + + def train_func(config): + result = tensorflow_linear_train_func(config) + assert len(result) == epochs + + train_loop_config = { + "lr": 1e-3, + "batch_size": 32, + "epochs": epochs, + } + scaling_config = ScalingConfig(num_workers=0) + dataset = ray.data.read_csv("s3://anonymous@air-example-data/regression.csv") + columns_to_concatenate = [f"x{i:03}" for i in range(100)] + preprocessor = Concatenator(columns=columns_to_concatenate, output_column_name="x") + dataset = preprocessor.transform(dataset) + + trainer = TensorflowTrainer( + train_loop_per_worker=train_func, + train_loop_config=train_loop_config, + scaling_config=scaling_config, + datasets={TRAIN_DATASET_KEY: dataset}, + ) + result = trainer.fit() + assert not result.error + assert result.checkpoint + + +def test_torch_trainer_local_mode(ray_start_6_cpus): + def train_func(config): + result = linear_train_func(config) + assert len(result) == epochs + assert result[-1]["loss"] < result[0]["loss"] + + epochs = 3 + scaling_config = ScalingConfig(num_workers=0) + config = {"lr": 1e-2, "hidden_size": 1, "batch_size": 4, "epochs": epochs} + trainer = TorchTrainer( + train_loop_per_worker=train_func, + train_loop_config=config, + scaling_config=scaling_config, + ) + result = trainer.fit() + assert result.error is None + assert result.metrics is not None + assert result.metrics["loss"] is not None + assert result.checkpoint + + +HF_BATCH_SIZE_PER_WORKER = 2 +HF_MODEL_NAME = "hf-internal-testing/tiny-random-BloomForCausalLM" +HF_MAX_EPOCHS = 1 +HF_TRAIN_DATASET_SIZE = 16 + + +@pytest.mark.parametrize("use_ray_data", [False, True]) +def test_e2e_hf_local_mode(ray_start_4_cpus, use_ray_data): + def get_transformers_configurations(): + """Get configurations with dynamic step calculations based on number of workers.""" + steps_per_epoch = HF_TRAIN_DATASET_SIZE // HF_BATCH_SIZE_PER_WORKER + return { + "epoch_gpu": { + "evaluation_strategy": "epoch", + "save_strategy": "epoch", + "logging_strategy": "epoch", + "eval_steps": None, + "save_steps": None, + "logging_steps": None, + "no_cuda": False, + }, + "steps_gpu": { + "evaluation_strategy": "steps", + "save_strategy": "steps", + "logging_strategy": "steps", + "eval_steps": steps_per_epoch, + "save_steps": steps_per_epoch * 2, + "logging_steps": 1, + "no_cuda": False, + }, + "steps_cpu": { + "evaluation_strategy": "steps", + "save_strategy": "steps", + "logging_strategy": "steps", + "eval_steps": steps_per_epoch, + "save_steps": steps_per_epoch, + "logging_steps": 1, + "no_cuda": True, + }, + "steps_cpu_local": { + "evaluation_strategy": "steps", + "save_strategy": "steps", + "logging_strategy": "steps", + "eval_steps": steps_per_epoch, + "save_steps": steps_per_epoch, + "logging_steps": 1, + "no_cuda": True, + }, + } + + config_id = "steps_cpu_local" + num_workers = 0 + + def train_func(config): + # Datasets + if config["use_ray_data"]: + train_ds_shard = ray.train.get_dataset_shard("train") + eval_ds_shard = ray.train.get_dataset_shard("eval") + + train_dataset = train_ds_shard.iter_torch_batches( + batch_size=HF_BATCH_SIZE_PER_WORKER + ) + eval_dataset = eval_ds_shard.iter_torch_batches( + batch_size=HF_BATCH_SIZE_PER_WORKER + ) + else: + train_df = pd.read_json(train_data) + validation_df = pd.read_json(validation_data) + + train_dataset = Dataset.from_pandas(train_df) + eval_dataset = Dataset.from_pandas(validation_df) + + # Model + model_config = AutoConfig.from_pretrained(HF_MODEL_NAME) + model = AutoModelForCausalLM.from_config(model_config) + + # HF Transformers Trainer + training_args = TrainingArguments( + f"{HF_MODEL_NAME}-wikitext2", + evaluation_strategy=config["evaluation_strategy"], + logging_strategy=config["logging_strategy"], + save_strategy=config["save_strategy"], + eval_steps=config["eval_steps"], + save_steps=config["save_steps"], + logging_steps=config["logging_steps"], + num_train_epochs=config.get("num_train_epochs", HF_MAX_EPOCHS), + max_steps=config.get("max_steps", -1), + learning_rate=config.get("learning_rate", 2e-5), + per_device_train_batch_size=HF_BATCH_SIZE_PER_WORKER, + per_device_eval_batch_size=HF_BATCH_SIZE_PER_WORKER, + weight_decay=0.01, + disable_tqdm=True, + no_cuda=config["no_cuda"], + report_to="none", + ) + trainer = Trainer( + model=model, + args=training_args, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + ) + + # Report to Ray Train + trainer.add_callback(HuggingFaceRayTrainReportCallback()) + trainer = prepare_trainer(trainer) + + # Start Training + trainer.train() + + configurations = get_transformers_configurations() + train_loop_config = configurations[config_id] + + # Calculate the num of Ray training iterations + max_steps = HF_MAX_EPOCHS * HF_TRAIN_DATASET_SIZE // HF_BATCH_SIZE_PER_WORKER + + train_loop_config["use_ray_data"] = use_ray_data + + datasets = None + if use_ray_data: + # Must specify `max_steps` for Iterable Dataset + train_loop_config["max_steps"] = max_steps + + train_df = pd.read_json(train_data) + validation_df = pd.read_json(validation_data) + + ray_train_ds = ray.data.from_pandas(train_df) + ray_eval_ds = ray.data.from_pandas(validation_df) + datasets = {"train": ray_train_ds, "eval": ray_eval_ds} + else: + # Specify `num_train_epochs` for Map-style Dataset + train_loop_config["num_train_epochs"] = HF_MAX_EPOCHS + + use_gpu = not train_loop_config["no_cuda"] + + trainer = TorchTrainer( + train_func, + train_loop_config=train_loop_config, + scaling_config=ScalingConfig(num_workers=num_workers, use_gpu=use_gpu), + datasets=datasets, + ) + result = trainer.fit() + + assert result.metrics["step"] == max_steps + assert "eval_loss" in result.metrics + if not use_ray_data: + assert result.metrics["epoch"] == HF_MAX_EPOCHS + + +def test_xgboost_trainer_local_mode(ray_start_4_cpus): + def xgboost_train_fn_per_worker(): + label_column = "target" + dataset_keys = {TRAIN_DATASET_KEY, "valid"} + checkpoint = ray.train.get_checkpoint() + starting_model = None + remaining_iters = 10 + if checkpoint: + starting_model = XGBoostRayTrainReportCallback.get_model(checkpoint) + starting_iter = starting_model.num_boosted_rounds() + remaining_iters = remaining_iters - starting_iter + + train_ds_iter = ray.train.get_dataset_shard(TRAIN_DATASET_KEY) + train_df = train_ds_iter.materialize().to_pandas() + + eval_ds_iters = { + k: ray.train.get_dataset_shard(k) + for k in dataset_keys + if k != TRAIN_DATASET_KEY + } + eval_dfs = {k: d.materialize().to_pandas() for k, d in eval_ds_iters.items()} + + train_X, train_y = train_df.drop(label_column, axis=1), train_df[label_column] + dtrain = xgboost.DMatrix(train_X, label=train_y) + + # NOTE: Include the training dataset in the evaluation datasets. + # This allows `train-*` metrics to be calculated and reported. + evals = [(dtrain, TRAIN_DATASET_KEY)] + + for eval_name, eval_df in eval_dfs.items(): + eval_X, eval_y = eval_df.drop(label_column, axis=1), eval_df[label_column] + evals.append((xgboost.DMatrix(eval_X, label=eval_y), eval_name)) + + evals_result = {} + xgboost.train( + {}, + dtrain=dtrain, + evals=evals, + evals_result=evals_result, + num_boost_round=remaining_iters, + xgb_model=starting_model, + ) + + data_raw = load_breast_cancer() + dataset_df = pd.DataFrame(data_raw["data"], columns=data_raw["feature_names"]) + dataset_df["target"] = data_raw["target"] + train_df, test_df = train_test_split(dataset_df, test_size=0.3) + + train_dataset = ray.data.from_pandas(train_df) + valid_dataset = ray.data.from_pandas(test_df) + scale_config = ScalingConfig(num_workers=0) + trainer = XGBoostTrainer( + train_loop_per_worker=xgboost_train_fn_per_worker, + train_loop_config={ + "tree_method": "approx", + "objective": "binary:logistic", + "eval_metric": ["logloss", "error"], + }, + scaling_config=scale_config, + datasets={TRAIN_DATASET_KEY: train_dataset, "valid": valid_dataset}, + ) + result = trainer.fit() + with pytest.raises(DeprecationWarning): + XGBoostTrainer.get_model(result.checkpoint) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/train/v2/torch/train_loop_utils.py b/python/ray/train/v2/torch/train_loop_utils.py index af546f83014f..dfb618dc6b6a 100644 --- a/python/ray/train/v2/torch/train_loop_utils.py +++ b/python/ray/train/v2/torch/train_loop_utils.py @@ -1,7 +1,7 @@ import logging import os import random -from typing import Any, Callable, Dict, Optional, Union +from typing import Any, Callable, Dict, List, Optional, Union import numpy as np import torch @@ -17,7 +17,11 @@ import ray.train.torch from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag -from ray.train.torch.train_loop_utils import _WrappedDataLoader +from ray.train.torch.train_loop_utils import ( + _WrappedDataLoader, + get_devices as get_devices_distributed, +) +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.util.annotations import Deprecated, PublicAPI logger = logging.getLogger(__name__) @@ -34,6 +38,22 @@ ) +def get_device() -> torch.device: + return get_devices()[0] + + +def get_devices() -> List[torch.device]: + if get_train_fn_utils().is_distributed(): + return get_devices_distributed() + else: + # Local mode, we defer to torch.cuda + # TODO(xgui): Use `ScalingConfig.use_gpu` instead + if torch.cuda.is_available(): + return [torch.device(f"cuda:{torch.cuda.current_device()}")] + else: + return [torch.device("cpu")] + + def prepare_model( model: torch.nn.Module, move_to_device: Union[bool, torch.device] = True, diff --git a/python/ray/train/v2/xgboost/__init__.py b/python/ray/train/v2/xgboost/__init__.py index e69de29bb2d1..b4e10280aceb 100644 --- a/python/ray/train/v2/xgboost/__init__.py +++ b/python/ray/train/v2/xgboost/__init__.py @@ -0,0 +1,2 @@ +# This is a workaround to avoid a circular import. +import ray.train.xgboost as ray_train_xgboost # noqa: F401 diff --git a/python/ray/train/v2/xgboost/config.py b/python/ray/train/v2/xgboost/config.py new file mode 100644 index 000000000000..d2c04c99c137 --- /dev/null +++ b/python/ray/train/v2/xgboost/config.py @@ -0,0 +1,21 @@ +from contextlib import contextmanager + +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils +from ray.train.xgboost.config import XGBoostConfig as XGBoostConfigV1 + + +class XGBoostConfig(XGBoostConfigV1): + @property + def train_func_context(self): + distributed_context = super(XGBoostConfig, self).train_func_context + + @contextmanager + def collective_communication_context(): + # The distributed_context is only needed in distributed mode + if get_train_fn_utils().is_distributed(): + with distributed_context(): + yield + else: + yield + + return collective_communication_context diff --git a/python/ray/train/xgboost/__init__.py b/python/ray/train/xgboost/__init__.py index aa2d1c88d11b..447515b95b44 100644 --- a/python/ray/train/xgboost/__init__.py +++ b/python/ray/train/xgboost/__init__.py @@ -6,6 +6,7 @@ from ray.train.xgboost.xgboost_trainer import XGBoostTrainer if is_v2_enabled(): + from ray.train.v2.xgboost.config import XGBoostConfig # noqa: F811 from ray.train.v2.xgboost.xgboost_trainer import XGBoostTrainer # noqa: F811 __all__ = [ From 6641c3a506081cd00125d1e9bcafdc4236815b21 Mon Sep 17 00:00:00 2001 From: Kyle Robinson Date: Thu, 4 Sep 2025 10:30:00 +0900 Subject: [PATCH 1026/1566] Update metrics_utils for future global metrics aggregation in controller. (#55568) ## Why are these changes needed? These changes modify the autoscaler metrics collection and aggregation functions in preparation for global aggregation in the controller. ## Related issue number Partial for #46497 Required for #41135 #51905 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Kyle Robinson Signed-off-by: Kyle Robinson Signed-off-by: abrar Co-authored-by: Abrar Sheikh Co-authored-by: Cindy Zhang Co-authored-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/metrics_utils.py | 240 ++++++++-- python/ray/serve/_private/replica.py | 5 +- python/ray/serve/_private/router.py | 16 +- .../serve/tests/unit/test_metrics_utils.py | 449 ++++++++++++++++-- 4 files changed, 623 insertions(+), 87 deletions(-) diff --git a/python/ray/serve/_private/metrics_utils.py b/python/ray/serve/_private/metrics_utils.py index 14efb553ca09..509ed48ed65c 100644 --- a/python/ray/serve/_private/metrics_utils.py +++ b/python/ray/serve/_private/metrics_utils.py @@ -1,15 +1,28 @@ import asyncio import bisect import logging +import statistics from collections import defaultdict from dataclasses import dataclass, field -from typing import Callable, DefaultDict, Dict, Hashable, List, Optional +from itertools import chain +from typing import ( + Callable, + DefaultDict, + Dict, + Hashable, + Iterable, + List, + Optional, + Tuple, +) from ray.serve._private.constants import ( METRICS_PUSHER_GRACEFUL_SHUTDOWN_TIMEOUT_S, SERVE_LOGGER_NAME, ) +QUEUED_REQUESTS_KEY = "queued" + logger = logging.getLogger(SERVE_LOGGER_NAME) @@ -152,7 +165,7 @@ def prune_keys_and_compact_data(self, start_timestamp_s: float): def _get_datapoints( self, key: Hashable, window_start_timestamp_s: float - ) -> List[float]: + ) -> List[TimeStampedValue]: """Get all data points given key after window_start_timestamp_s""" datapoints = self.data[key] @@ -165,52 +178,205 @@ def _get_datapoints( ) return datapoints[idx:] - def window_average( - self, key: Hashable, window_start_timestamp_s: float, do_compact: bool = True + def _aggregate_reduce( + self, + keys: Iterable[Hashable], + aggregate_fn: Callable[[Iterable[float]], float], + ) -> Tuple[Optional[float], int]: + """Reduce the entire set of timeseries values across the specified keys. + + Args: + keys: Iterable of keys to aggregate across. + aggregate_fn: Function to apply across all float values, e.g., sum, max. + + Returns: + A tuple of (float, int) where the first element is the aggregated value + and the second element is the number of valid keys used. + Returns (None, 0) if no valid keys have data. + + Example: + Suppose the store contains: + >>> store = InMemoryMetricsStore() + >>> store.data.update({ + ... "a": [TimeStampedValue(0, 1.0), TimeStampedValue(1, 2.0)], + ... "b": [], + ... "c": [TimeStampedValue(0, 10.0)], + ... }) + + Using sum across keys: + + >>> store._aggregate_reduce(keys=["a", "b", "c"], aggregate_fn=sum) + (13.0, 2) + + Here: + - The aggregated value is 1.0 + 2.0 + 10.0 = 13.0 + - Only keys "a" and "c" contribute values, so report_count = 2 + """ + valid_key_count = 0 + + def _values_generator(): + """Generator that yields values from valid keys without storing them all in memory.""" + nonlocal valid_key_count + for key in keys: + series = self.data.get(key, []) + if not series: + continue + + valid_key_count += 1 + for timestamp_value in series: + yield timestamp_value.value + + # Create the generator and check if it has any values + values_gen = _values_generator() + try: + first_value = next(values_gen) + except StopIteration: + # No valid data found + return None, 0 + + # Apply aggregation to the generator (memory efficient) + aggregated_result = aggregate_fn(chain([first_value], values_gen)) + return aggregated_result, valid_key_count + + def get_latest( + self, + key: Hashable, ) -> Optional[float]: - """Perform a window average operation for metric `key` + """Get the latest value for a given key.""" + if not self.data.get(key, None): + return None + return self.data[key][-1].value + + def aggregate_min( + self, + keys: Iterable[Hashable], + ) -> Tuple[Optional[float], int]: + """Find the min value across all timeseries values at the specified keys. Args: - key: the metric name. - window_start_timestamp_s: the unix epoch timestamp for the - start of the window. The computed average will use all datapoints - from this timestamp until now. - do_compact: whether or not to delete the datapoints that's - before `window_start_timestamp_s` to save memory. Default is - true. + keys: Iterable of keys to aggregate across. Returns: - The average of all the datapoints for the key on and after time - window_start_timestamp_s, or None if there are no such points. + A tuple of (float, int) where the first element is the min across + all values found at `keys`, and the second is the number of valid + keys used to compute the min. + Returns (None, 0) if no valid keys have data. """ - points_after_idx = self._get_datapoints(key, window_start_timestamp_s) + return self._aggregate_reduce(keys, min) - if do_compact: - self.data[key] = points_after_idx + def aggregate_max( + self, + keys: Iterable[Hashable], + ) -> Tuple[Optional[float], int]: + """Find the max value across all timeseries values at the specified keys. - if len(points_after_idx) == 0: - return - return sum(point.value for point in points_after_idx) / len(points_after_idx) + Args: + keys: Iterable of keys to aggregate across. + Returns: + A tuple of (float, int) where the first element is the max across + all values found at `keys`, and the second is the number of valid + keys used to compute the max. + Returns (None, 0) if no valid keys have data. + """ + return self._aggregate_reduce(keys, max) - def max( - self, key: Hashable, window_start_timestamp_s: float, do_compact: bool = True - ): - """Perform a max operation for metric `key`. + def aggregate_sum( + self, + keys: Iterable[Hashable], + ) -> Tuple[Optional[float], int]: + """Sum the entire set of timeseries values across the specified keys. Args: - key: the metric name. - window_start_timestamp_s: the unix epoch timestamp for the - start of the window. The computed average will use all datapoints - from this timestamp until now. - do_compact: whether or not to delete the datapoints that's - before `window_start_timestamp_s` to save memory. Default is - true. + keys: Iterable of keys to aggregate across. Returns: - Max value of the data points for the key on and after time - window_start_timestamp_s, or None if there are no such points. + A tuple of (float, int) where the first element is the sum across + all values found at `keys`, and the second is the number of valid + keys used to compute the sum. + Returns (None, 0) if no valid keys have data. """ - points_after_idx = self._get_datapoints(key, window_start_timestamp_s) + return self._aggregate_reduce(keys, sum) - if do_compact: - self.data[key] = points_after_idx + def aggregate_avg( + self, + keys: Iterable[Hashable], + ) -> Tuple[Optional[float], int]: + """Average the entire set of timeseries values across the specified keys. - return max((point.value for point in points_after_idx), default=None) + Args: + keys: Iterable of keys to aggregate across. + Returns: + A tuple of (float, int) where the first element is the mean across + all values found at `keys`, and the second is the number of valid + keys used to compute the mean. + Returns (None, 0) if no valid keys have data. + """ + return self._aggregate_reduce(keys, statistics.mean) + + +def _bucket_latest_by_window( + series: List[TimeStampedValue], + start: float, + window_s: float, +) -> Dict[int, float]: + """ + Map each window index -> latest value seen in that window. + Assumes series is sorted by timestamp ascending. + """ + buckets: Dict[int, float] = {} + for p in series: + w = int((p.timestamp - start) // window_s) + buckets[w] = p.value # overwrite keeps the latest within the window + return buckets + + +def _merge_two_timeseries( + t1: List[TimeStampedValue], t2: List[TimeStampedValue], window_s: float +) -> List[TimeStampedValue]: + """ + Merge two ascending time series by summing values within a specified time window. + If multiple values fall within the same window in a series, the latest value is used. + The output contains one point per window that had at least one value, timestamped + at the window center. + """ + if window_s <= 0: + raise ValueError(f"window_s must be positive, got {window_s}") + + if not t1 and not t2: + return [] + + # Align windows so each output timestamp sits at the start of its window. + # start is snapped to window_s boundary for binning stability + earliest = min(x[0].timestamp for x in (t1, t2) if x) + start = earliest // window_s * window_s + + b1 = _bucket_latest_by_window(t1, start, window_s) + b2 = _bucket_latest_by_window(t2, start, window_s) + + windows = sorted(set(b1.keys()) | set(b2.keys())) + + merged: List[TimeStampedValue] = [] + for w in windows: + v = b1.get(w, 0.0) + b2.get(w, 0.0) + ts_start = start + w * window_s + merged.append(TimeStampedValue(timestamp=ts_start, value=v)) + return merged + + +def merge_timeseries_dicts( + *timeseries_dicts: DefaultDict[Hashable, List[TimeStampedValue]], + window_s: float, +) -> DefaultDict[Hashable, List[TimeStampedValue]]: + """ + Merge multiple time-series dictionaries, typically contained within + InMemoryMetricsStore().data. For the same key across stores, time series + are merged with a windowed sum, where each series keeps only its latest + value per window before summing. + """ + merged: DefaultDict[Hashable, List[TimeStampedValue]] = defaultdict(list) + for timeseries_dict in timeseries_dicts: + for key, ts in timeseries_dict.items(): + if key in merged: + merged[key] = _merge_two_timeseries(merged[key], ts, window_s) + else: + # Window the data, even if the key is unique. + merged[key] = _merge_two_timeseries(ts, [], window_s) + return merged diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 6ddfe873d97b..1ca38d1a37f2 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -328,11 +328,10 @@ def record_request_metrics(self, *, route: str, latency_ms: float, was_error: bo def _push_autoscaling_metrics(self) -> Dict[str, Any]: look_back_period = self._autoscaling_config.look_back_period_s + self._metrics_store.prune_keys_and_compact_data(time.time() - look_back_period) self._controller_handle.record_autoscaling_metrics.remote( replica_id=self._replica_id, - window_avg=self._metrics_store.window_average( - self._replica_id, time.time() - look_back_period - ), + window_avg=self._metrics_store.aggregate_avg([self._replica_id])[0], send_timestamp=time.time(), ) diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 52e2335df4c0..7acc79f17fac 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -42,7 +42,11 @@ SERVE_LOGGER_NAME, ) from ray.serve._private.long_poll import LongPollClient, LongPollNamespace -from ray.serve._private.metrics_utils import InMemoryMetricsStore, MetricsPusher +from ray.serve._private.metrics_utils import ( + QUEUED_REQUESTS_KEY, + InMemoryMetricsStore, + MetricsPusher, +) from ray.serve._private.replica_result import ReplicaResult from ray.serve._private.request_router import PendingRequest, RequestRouter from ray.serve._private.request_router.pow_2_router import ( @@ -61,9 +65,6 @@ logger = logging.getLogger(SERVE_LOGGER_NAME) -QUEUED_REQUESTS_KEY = "queued" - - class RouterMetricsManager: """Manages metrics for the router.""" @@ -392,10 +393,11 @@ def _get_aggregated_requests(self): running_requests = dict() if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE and self.autoscaling_config: look_back_period = self.autoscaling_config.look_back_period_s + self.metrics_store.prune_keys_and_compact_data( + time.time() - look_back_period + ) running_requests = { - replica_id: self.metrics_store.window_average( - replica_id, time.time() - look_back_period - ) + replica_id: self.metrics_store.aggregate_avg([replica_id])[0] # If data hasn't been recorded yet, return current # number of queued and ongoing requests. or num_requests diff --git a/python/ray/serve/tests/unit/test_metrics_utils.py b/python/ray/serve/tests/unit/test_metrics_utils.py index 52f8c84166e2..0e37d6b26d15 100644 --- a/python/ray/serve/tests/unit/test_metrics_utils.py +++ b/python/ray/serve/tests/unit/test_metrics_utils.py @@ -2,9 +2,18 @@ import sys import pytest +from toolz.tests.test_dicttoolz import defaultdict from ray._common.test_utils import async_wait_for_condition -from ray.serve._private.metrics_utils import InMemoryMetricsStore, MetricsPusher +from ray.serve._private.metrics_utils import ( + QUEUED_REQUESTS_KEY, + InMemoryMetricsStore, + MetricsPusher, + TimeStampedValue, + _bucket_latest_by_window, + _merge_two_timeseries, + merge_timeseries_dicts, +) from ray.serve._private.test_utils import MockAsyncTimer @@ -136,13 +145,26 @@ def new_f(s): await metrics_pusher.graceful_shutdown() +def assert_timeseries_equal(actual, expected): + assert len(actual) == len( + expected + ), f"Length mismatch: {len(actual)} vs {len(expected)}" + for i, (a, e) in enumerate(zip(actual, expected)): + assert ( + a.timestamp == e.timestamp + ), f"Timestamp mismatch at {i}: {a.timestamp} vs {e.timestamp}" + assert a.value == e.value, f"Value mismatch at {i}: {a.value} vs {e.value}" + + class TestInMemoryMetricsStore: def test_basics(self): s = InMemoryMetricsStore() s.add_metrics_point({"m1": 1}, timestamp=1) s.add_metrics_point({"m1": 2}, timestamp=2) - assert s.window_average("m1", window_start_timestamp_s=0) == 1.5 - assert s.max("m1", window_start_timestamp_s=0) == 2 + assert s.aggregate_avg(["m1"]) == (1.5, 1) + assert s.aggregate_max(["m1"]) == (2, 1) + assert s.aggregate_min(["m1"]) == (1, 1) + assert s.get_latest("m1") == 2 def test_out_of_order_insert(self): s = InMemoryMetricsStore() @@ -151,53 +173,42 @@ def test_out_of_order_insert(self): s.add_metrics_point({"m1": 3}, timestamp=3) s.add_metrics_point({"m1": 2}, timestamp=2) s.add_metrics_point({"m1": 4}, timestamp=4) - assert s.window_average("m1", window_start_timestamp_s=0) == 3 - assert s.max("m1", window_start_timestamp_s=0) == 5 + assert s.aggregate_avg(["m1"]) == (3, 1) + assert s.aggregate_max(["m1"]) == (5, 1) + assert s.aggregate_min(["m1"]) == (1, 1) def test_window_start_timestamp(self): s = InMemoryMetricsStore() - assert s.window_average("m1", window_start_timestamp_s=0) is None - assert s.max("m1", window_start_timestamp_s=0) is None + assert s.aggregate_avg(["m1"]) == (None, 0) + assert s.aggregate_max(["m1"]) == (None, 0) + assert s.aggregate_min(["m1"]) == (None, 0) s.add_metrics_point({"m1": 1}, timestamp=2) - assert s.window_average("m1", window_start_timestamp_s=0) == 1 - assert ( - s.window_average("m1", window_start_timestamp_s=10, do_compact=False) - is None - ) - - def test_compaction_window(self): - s = InMemoryMetricsStore() - - s.add_metrics_point({"m1": 1}, timestamp=1) - s.add_metrics_point({"m1": 2}, timestamp=2) - - assert ( - s.window_average("m1", window_start_timestamp_s=0, do_compact=False) == 1.5 - ) - s.window_average("m1", window_start_timestamp_s=1.1, do_compact=True) - # First record should be removed. - assert s.window_average("m1", window_start_timestamp_s=0, do_compact=False) == 2 - - def test_compaction_max(self): - s = InMemoryMetricsStore() - - s.add_metrics_point({"m1": 1}, timestamp=2) - s.add_metrics_point({"m1": 2}, timestamp=1) - - assert s.max("m1", window_start_timestamp_s=0, do_compact=False) == 2 - - s.window_average("m1", window_start_timestamp_s=1.1, do_compact=True) - - assert s.window_average("m1", window_start_timestamp_s=0, do_compact=False) == 1 + assert s.aggregate_avg(["m1"]) == (1, 1) + s.prune_keys_and_compact_data(10) + assert s.aggregate_avg(["m1"]) == (None, 0) def test_multiple_metrics(self): s = InMemoryMetricsStore() s.add_metrics_point({"m1": 1, "m2": -1}, timestamp=1) s.add_metrics_point({"m1": 2, "m2": -2}, timestamp=2) - assert s.window_average("m1", window_start_timestamp_s=0) == 1.5 - assert s.max("m1", window_start_timestamp_s=0) == 2 - assert s.max("m2", window_start_timestamp_s=0) == -1 + assert s.aggregate_avg(["m1"]) == (1.5, 1) + assert s.aggregate_avg(["m2"]) == (-1.5, 1) + assert s.aggregate_avg(["m1", "m2"]) == (0, 2) + assert s.aggregate_max(["m1"]) == (2, 1) + assert s.aggregate_max(["m2"]) == (-1, 1) + assert s.aggregate_max(["m1", "m2"]) == (2, 2) + assert s.aggregate_min(["m1"]) == (1, 1) + assert s.aggregate_min(["m2"]) == (-2, 1) + assert s.aggregate_min(["m1", "m2"]) == (-2, 2) + + def test_empty_key_mix(self): + s = InMemoryMetricsStore() + s.add_metrics_point({"m1": 1}, timestamp=1) + assert s.aggregate_avg(["m1", "m2"]) == (1, 1) + assert s.aggregate_max(["m1", "m2"]) == (1, 1) + assert s.aggregate_min(["m1", "m2"]) == (1, 1) + assert s.aggregate_avg(["m2"]) == (None, 0) def test_prune_keys_and_compact_data(self): s = InMemoryMetricsStore() @@ -210,6 +221,364 @@ def test_prune_keys_and_compact_data(self): assert len(s.data["m2"]) == 2 and s.data["m2"] == s._get_datapoints("m2", 1.1) assert len(s.data["m3"]) == 1 and s.data["m3"] == s._get_datapoints("m3", 1.1) + def test_merge_metrics_stores(self): + s1 = InMemoryMetricsStore() + s2 = InMemoryMetricsStore() + s3 = InMemoryMetricsStore() + s1.add_metrics_point( + {"m1": 1, "m2": 2, "m3": 3, QUEUED_REQUESTS_KEY: 1}, timestamp=1 + ) + s2.add_metrics_point({"m1": 2, "m2": 2, QUEUED_REQUESTS_KEY: 1}, timestamp=2) + s3.add_metrics_point({"m2": 10, QUEUED_REQUESTS_KEY: 10}, timestamp=2) + merged = merge_timeseries_dicts(s1.data, s2.data, s3.data, window_s=1) + + assert_timeseries_equal( + merged["m1"], [TimeStampedValue(1, 1), TimeStampedValue(2, 2)] + ) + assert_timeseries_equal( + merged["m2"], [TimeStampedValue(1, 2), TimeStampedValue(2, 12)] + ) + assert_timeseries_equal(merged["m3"], [TimeStampedValue(1, 3)]) + assert_timeseries_equal( + merged[QUEUED_REQUESTS_KEY], + [TimeStampedValue(1, 1), TimeStampedValue(2, 11)], + ) + + s4 = InMemoryMetricsStore() + s4.add_metrics_point( + {"m1": 100, "m2": 100, "m3": 100, QUEUED_REQUESTS_KEY: 10}, timestamp=0 + ) + + merged = merge_timeseries_dicts(s1.data, s2.data, s3.data, s4.data, window_s=2) + + # With window_s=2 and window start alignment: + # Window boundaries: [0,2), [2,4), etc. + # timestamp=0 (s4) and timestamp=1 (s1) -> window 0 + # timestamp=2 (s2, s3) -> window 1 + assert_timeseries_equal( + merged["m1"], + [TimeStampedValue(0, 101), TimeStampedValue(2, 2)], # 100+1=101, then 2 + ) + assert_timeseries_equal( + merged["m2"], + [ + TimeStampedValue(0, 102), + TimeStampedValue(2, 12), + ], # 100+2=102, then 2+10=12 + ) + assert_timeseries_equal( + merged["m3"], [TimeStampedValue(0, 103)] # 100+3=103, no data in window 1 + ) + assert_timeseries_equal( + merged[QUEUED_REQUESTS_KEY], + [TimeStampedValue(0, 11), TimeStampedValue(2, 11)], # 10+1=11, then 1+10=11 + ) + + s1_s2 = merge_timeseries_dicts(s1.data, s2.data, window_s=1) + s2_s1 = merge_timeseries_dicts(s2.data, s1.data, window_s=1) + s1_s2_s3_s4 = merge_timeseries_dicts( + s1.data, s2.data, s3.data, s4.data, window_s=1 + ) + s4_s1_s3_s2 = merge_timeseries_dicts( + s4.data, s1.data, s3.data, s2.data, window_s=1 + ) + + # dict equality -> compare per-key time series + for k in s1_s2: + assert_timeseries_equal(s1_s2[k], s2_s1[k]) + for k in s1_s2_s3_s4: + assert_timeseries_equal(s1_s2_s3_s4[k], s4_s1_s3_s2[k]) + + a1_none = merge_timeseries_dicts(s1.data, defaultdict(list), window_s=1) + for k in a1_none: + assert_timeseries_equal(a1_none[k], s1.data[k]) + + def test_bucket_latest_by_window_basic(self): + """Test basic functionality of _bucket_latest_by_window.""" + series = [ + TimeStampedValue(1.0, 10.0), + TimeStampedValue(1.5, 15.0), # Same window as 1.0, should overwrite + TimeStampedValue(3.0, 30.0), + ] + + # With window_s=1.0, start=0.0 + buckets = _bucket_latest_by_window(series, start=0.0, window_s=1.0) + + # Window 1: timestamps 1.0-2.0, latest value should be 15.0 + # Window 3: timestamp 3.0-4.0, value should be 30.0 + expected = {1: 15.0, 3: 30.0} + assert buckets == expected + + def test_bucket_latest_by_window_empty(self): + """Test _bucket_latest_by_window with empty series.""" + buckets = _bucket_latest_by_window([], start=0.0, window_s=1.0) + assert buckets == {} + + def test_bucket_latest_by_window_single_value(self): + """Test _bucket_latest_by_window with single value.""" + series = [TimeStampedValue(2.5, 25.0)] + buckets = _bucket_latest_by_window(series, start=0.0, window_s=1.0) + assert buckets == {2: 25.0} + + def test_bucket_latest_by_window_negative_timestamps(self): + """Test _bucket_latest_by_window with negative timestamps.""" + series = [ + TimeStampedValue(-1.5, 10.0), + TimeStampedValue(-0.5, 20.0), + TimeStampedValue(0.5, 30.0), + ] + buckets = _bucket_latest_by_window(series, start=-2.0, window_s=1.0) + # Window 0: -1.5 (index = (-1.5 - (-2.0)) // 1.0 = 0.5 // 1.0 = 0) + # Window 1: -0.5 (index = (-0.5 - (-2.0)) // 1.0 = 1.5 // 1.0 = 1) + # Window 2: 0.5 (index = (0.5 - (-2.0)) // 1.0 = 2.5 // 1.0 = 2) + expected = {0: 10.0, 1: 20.0, 2: 30.0} + assert buckets == expected + + def test_bucket_latest_by_window_very_small_window(self): + """Test _bucket_latest_by_window with very small windows.""" + series = [ + TimeStampedValue(1.001, 10.0), + TimeStampedValue(1.002, 20.0), # Different window + ] + buckets = _bucket_latest_by_window(series, start=1.0, window_s=0.001) + # With window_s=0.001: + # 1.001: (1.001 - 1.0) // 0.001 = 1.0 => window 1, but floor division gives 0 + # 1.002: (1.002 - 1.0) // 0.001 = 2.0 => window 2 + expected = { + 0: 10.0, + 2: 20.0, + } # Corrected based on actual floor division behavior + assert buckets == expected + + def test_merge_two_timeseries_both_empty(self): + """Test _merge_two_timeseries with both series empty.""" + result = _merge_two_timeseries([], [], window_s=1.0) + assert result == [] + + def test_merge_two_timeseries_one_empty(self): + """Test _merge_two_timeseries with one series empty.""" + t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(2.0, 20.0)] + + result1 = _merge_two_timeseries(t1, [], window_s=1.0) + result2 = _merge_two_timeseries([], t1, window_s=1.0) + + # Results should be the same regardless of order + assert len(result1) == len(result2) == 2 + assert_timeseries_equal(result1, result2) + + def test_merge_two_timeseries_overlapping_windows(self): + """Test _merge_two_timeseries with values in overlapping time windows.""" + t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(1.5, 15.0)] + t2 = [TimeStampedValue(1.3, 13.0), TimeStampedValue(1.8, 18.0)] + + result = _merge_two_timeseries(t1, t2, window_s=1.0) + + # With window_s=1.0 and earliest=1.0: + # start = 1.0 // 1.0 * 1.0 = 1.0 + # Window boundaries are [1.0, 2.0), [2.0, 3.0), etc. + # All values (1.0, 1.3, 1.5, 1.8) fall in window [1.0, 2.0) + # So we get 1 window + assert len(result) == 1 + + # Window 0: latest from t1 is 15.0 (1.5 > 1.0), latest from t2 is 18.0 (1.8 > 1.3), sum: 33.0 + assert result[0].value == 33.0 + + def test_merge_two_timeseries_zero_window(self): + """Test _merge_two_timeseries with zero window size.""" + t1 = [TimeStampedValue(1.0, 10.0)] + t2 = [TimeStampedValue(1.0, 20.0)] + + # Zero window should raise ValueError + with pytest.raises(ValueError, match="window_s must be positive, got 0"): + _merge_two_timeseries(t1, t2, window_s=0.0) + + def test_merge_two_timeseries_negative_window(self): + """Test _merge_two_timeseries with negative window size.""" + t1 = [TimeStampedValue(1.0, 10.0)] + t2 = [TimeStampedValue(1.0, 20.0)] + + # Negative window should raise ValueError + with pytest.raises(ValueError, match="window_s must be positive, got -1"): + _merge_two_timeseries(t1, t2, window_s=-1.0) + + def test_merge_two_timeseries_very_small_window(self): + """Test _merge_two_timeseries with very small window.""" + t1 = [TimeStampedValue(1.0, 10.0)] + t2 = [TimeStampedValue(1.0001, 20.0)] + + result = _merge_two_timeseries(t1, t2, window_s=0.0001) + + # With very small window, these should be in different buckets + assert len(result) == 2 + + def test_merge_two_timeseries_large_window(self): + """Test _merge_two_timeseries with very large window.""" + t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(100.0, 15.0)] + t2 = [TimeStampedValue(50.0, 20.0), TimeStampedValue(200.0, 25.0)] + + result = _merge_two_timeseries(t1, t2, window_s=1000.0) + + # All values should be in the same window + assert len(result) == 1 + # Latest from t1: 15.0, latest from t2: 25.0, sum: 40.0 + assert result[0].value == 40.0 + + def test_merge_two_timeseries_duplicate_timestamps(self): + """Test _merge_two_timeseries with duplicate timestamps in same series.""" + t1 = [ + TimeStampedValue(1.0, 10.0), + TimeStampedValue(1.0, 15.0), # Duplicate timestamp + ] + t2 = [TimeStampedValue(1.0, 20.0)] + + result = _merge_two_timeseries(t1, t2, window_s=1.0) + + # Latest from t1 should be 15.0, t2 should be 20.0, sum: 35.0 + assert len(result) == 1 + assert result[0].value == 35.0 + + def test_merge_two_timeseries_floating_point_precision(self): + """Test _merge_two_timeseries with floating point precision edge cases.""" + # Test with timestamps that might have precision issues + t1 = [TimeStampedValue(0.1 + 0.2, 10.0)] # 0.30000000000000004 + t2 = [TimeStampedValue(0.3, 20.0)] + + result = _merge_two_timeseries(t1, t2, window_s=0.01) + + # These should be in the same window due to floating point precision + # but let's verify the behavior + assert len(result) >= 1 + + def test_merge_timeseries_dicts_empty_dicts(self): + """Test merge_timeseries_dicts with empty dictionaries.""" + result = merge_timeseries_dicts( + defaultdict(list), defaultdict(list), window_s=1.0 + ) + assert dict(result) == {} + + def test_merge_timeseries_dicts_single_dict(self): + """Test merge_timeseries_dicts with single dictionary.""" + data = defaultdict(list) + data["key1"] = [TimeStampedValue(1.0, 10.0)] + + result = merge_timeseries_dicts(data, window_s=1.0) + # With windowing applied, the result should have the same values but potentially different timestamps + expected = defaultdict(list) + expected["key1"] = [TimeStampedValue(1.0, 10.0)] # Window [1,2) starts at 1.0 + assert_timeseries_equal(result["key1"], expected["key1"]) + + def test_merge_timeseries_dicts_no_common_keys(self): + """Test merge_timeseries_dicts with dictionaries having no common keys.""" + d1 = defaultdict(list) + d1["key1"] = [TimeStampedValue(1.0, 10.0)] + + d2 = defaultdict(list) + d2["key2"] = [TimeStampedValue(2.0, 20.0)] + + result = merge_timeseries_dicts(d1, d2, window_s=1.0) + + assert "key1" in result + assert "key2" in result + assert len(result["key1"]) == 1 + assert len(result["key2"]) == 1 + + def test_merge_timeseries_dicts_many_stores(self): + """Test merge_timeseries_dicts with many stores.""" + stores = [] + for i in range(10): + store = defaultdict(list) + store["common_key"] = [TimeStampedValue(float(i), float(i * 10))] + stores.append(store) + + result = merge_timeseries_dicts(*stores, window_s=1.0) + + # Each value should be in its own window, sum should be 0+10+20+...+90 = 450 + assert "common_key" in result + total_value = sum(point.value for point in result["common_key"]) + assert total_value == 450.0 + + def test_merge_timeseries_dicts_zero_window(self): + """Test merge_timeseries_dicts with zero window size.""" + d1 = defaultdict(list) + d1["key1"] = [TimeStampedValue(1.0, 10.0)] + + d2 = defaultdict(list) + d2["key1"] = [TimeStampedValue(1.0, 20.0)] + + # Zero window should raise ValueError + with pytest.raises(ValueError, match="window_s must be positive, got 0"): + merge_timeseries_dicts(d1, d2, window_s=0.0) + + def test_merge_timeseries_dicts_negative_window(self): + """Test merge_timeseries_dicts with negative window size.""" + d1 = defaultdict(list) + d1["key1"] = [TimeStampedValue(1.0, 10.0)] + + # Negative window should raise ValueError + with pytest.raises(ValueError, match="window_s must be positive, got -1"): + merge_timeseries_dicts(d1, window_s=-1.0) + + def test_merge_timeseries_dicts_window_alignment_consistency(self): + """Test that window alignment is consistent regardless of input order.""" + # Create data that might expose window alignment issues + d1 = defaultdict(list) + d1["key1"] = [TimeStampedValue(1.1, 10.0)] + + d2 = defaultdict(list) + d2["key1"] = [TimeStampedValue(1.9, 20.0)] + + d3 = defaultdict(list) + d3["key1"] = [TimeStampedValue(2.1, 30.0)] + + # Test different orderings + result1 = merge_timeseries_dicts(d1, d2, d3, window_s=1.0) + result2 = merge_timeseries_dicts(d3, d1, d2, window_s=1.0) + result3 = merge_timeseries_dicts(d2, d3, d1, window_s=1.0) + + # Results should be the same regardless of order + assert_timeseries_equal(result1["key1"], result2["key1"]) + assert_timeseries_equal(result1["key1"], result3["key1"]) + + def test_merge_stores_bug_fix_window_center_calculation(self): + """Test for potential bug in window center calculation.""" + # This test checks if the window center calculation is correct + d1 = defaultdict(list) + d1["key1"] = [ + TimeStampedValue(0.0, 10.0), + TimeStampedValue(1.0, 15.0), + TimeStampedValue(2.0, 20.0), + TimeStampedValue(4.0, 30.0), + TimeStampedValue(5.0, 40.0), + ] + + result = merge_timeseries_dicts(d1, window_s=2.0) + + # With window_s=2.0 and window start alignment: + # Window [0,2): timestamps 0.0, 1.0 -> latest value 15.0 at window start 0.0 + # Window [2,4): timestamp 2.0 -> value 20.0 at window start 2.0 + # Window [4,6): timestamps 4.0, 5.0 -> latest value 40.0 at window start 4.0 + assert len(result["key1"]) == 3 + expected = [ + TimeStampedValue(timestamp=0.0, value=15.0), # Latest in window [0,2) + TimeStampedValue(timestamp=2.0, value=20.0), # Value in window [2,4) + TimeStampedValue(timestamp=4.0, value=40.0), # Latest in window [4,6) + ] + assert_timeseries_equal(result["key1"], expected) + + def test_merge_stores_preserves_value_precision(self): + """Test that merging preserves floating point precision of values.""" + d1 = defaultdict(list) + d1["key1"] = [TimeStampedValue(1.0, 0.1)] + + d2 = defaultdict(list) + d2["key1"] = [TimeStampedValue(1.0, 0.2)] + + result = merge_timeseries_dicts(d1, d2, window_s=1.0) + + # 0.1 + 0.2 should equal 0.3 exactly + assert len(result["key1"]) == 1 + assert abs(result["key1"][0].value - 0.3) < 1e-10 + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From 8454e09d4cc19daad7909550b367ec4ac4725356 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 3 Sep 2025 19:04:47 -0700 Subject: [PATCH 1027/1566] [release] Init step for custom BYOD image build (#55398) - Add `custom_byod_build_init` to scan the tests and list out all custom images to build, then create a yaml file (that will be included when rayci runs) to launch the build jobs. - Add `custom_byod_build` as a python script that the jobs can call to build & push the images This needs to be merged after https://github.com/ray-project/ray/pull/55397 --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- ci/ray_ci/oss_config.yaml | 1 + release/BUILD.bazel | 27 +++++ release/ray_release/configs/global_config.py | 5 + .../custom_byod_build_init_helper.py | 67 +++++++++++ .../scripts/custom_byod_build_init.py | 112 ++++++++++++++++++ .../test_custom_byod_build_init_helper.py | 77 ++++++++++++ 6 files changed, 289 insertions(+) create mode 100644 release/ray_release/custom_byod_build_init_helper.py create mode 100644 release/ray_release/scripts/custom_byod_build_init.py create mode 100644 release/ray_release/tests/test_custom_byod_build_init_helper.py diff --git a/ci/ray_ci/oss_config.yaml b/ci/ray_ci/oss_config.yaml index cf2b64aa1cc8..1eb2fa0d0a38 100644 --- a/ci/ray_ci/oss_config.yaml +++ b/ci/ray_ci/oss_config.yaml @@ -4,6 +4,7 @@ release_byod: ray_ml_cr_repo: ray-ml ray_llm_cr_repo: ray-llm byod_ecr: 029272617770.dkr.ecr.us-west-2.amazonaws.com + byod_ecr_region: us-west-2 aws_cr: 029272617770.dkr.ecr.us-west-2.amazonaws.com gcp_cr: us-west1-docker.pkg.dev/anyscale-oss-ci aws2gce_credentials: release/aws2gce_iam.json diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 374c5ac8a121..79c3720d6e9b 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -456,6 +456,24 @@ py_test( ], ) +py_test( + name = "test_custom_byod_build_init_helper", + size = "small", + srcs = ["ray_release/tests/test_custom_byod_build_init_helper.py"], + data = [ + "ray_release/configs/oss_config.yaml", + ], + exec_compatible_with = ["//:hermetic_python"], + tags = [ + "release_unit", + "team:ci", + ], + deps = [ + ":ray_release", + bk_require("pytest"), + ], +) + py_test( name = "test_cluster_manager", size = "small", @@ -729,3 +747,12 @@ py_binary( ":ray_release", ], ) + +py_binary( + name = "custom_byod_build_init", + srcs = ["ray_release/scripts/custom_byod_build_init.py"], + exec_compatible_with = ["//:hermetic_python"], + deps = [ + ":ray_release", + ], +) diff --git a/release/ray_release/configs/global_config.py b/release/ray_release/configs/global_config.py index 9de06e104318..c3a07375a2d2 100644 --- a/release/ray_release/configs/global_config.py +++ b/release/ray_release/configs/global_config.py @@ -11,6 +11,7 @@ class GlobalConfig(TypedDict): byod_ray_ml_cr_repo: str byod_ray_llm_cr_repo: str byod_ecr: str + byod_ecr_region: str byod_aws_cr: str byod_gcp_cr: str state_machine_pr_aws_bucket: str @@ -67,6 +68,10 @@ def _init_global_config(config_file: str): config_content.get("byod", {}).get("byod_ecr") or config_content.get("release_byod", {}).get("byod_ecr") ), + byod_ecr_region=( + config_content.get("byod", {}).get("byod_ecr_region") + or config_content.get("release_byod", {}).get("byod_ecr_region") + ), byod_aws_cr=( config_content.get("byod", {}).get("aws_cr") or config_content.get("release_byod", {}).get("aws_cr") diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py new file mode 100644 index 000000000000..cbdd90b55926 --- /dev/null +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -0,0 +1,67 @@ +from typing import List, Tuple +import yaml +from ray_release.configs.global_config import get_global_config +from ray_release.logger import logger +from ray_release.test import Test + + +def _generate_custom_build_step_key(image: str) -> str: + # Buildkite step key cannot contain special characters, so they need to be replaced. + # Buildkite also limits step key length to 80 characters. + return ( + "custom_build_" + + image.replace("/", "_") + .replace(":", "_") + .replace(".", "_") + .replace("-", "_")[-40:] + ) + + +def get_images_from_tests(tests: List[Test]) -> List[Tuple[str, str, str]]: + """Get a list of custom BYOD images to build from a list of tests.""" + custom_byod_images = set() + for test in tests: + if not test.require_custom_byod_image(): + continue + custom_byod_image_build = ( + test.get_anyscale_byod_image(), + test.get_anyscale_base_byod_image(), + test.get_byod_post_build_script(), + ) + logger.info(f"To be built: {custom_byod_image_build[0]}") + custom_byod_images.add(custom_byod_image_build) + return list(custom_byod_images) + + +def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: + config = get_global_config() + if not config or not config.get("byod_ecr_region") or not config.get("byod_ecr"): + raise ValueError("byod_ecr_region and byod_ecr must be set in the config") + """Create a yaml file for building custom BYOD images""" + custom_byod_images = get_images_from_tests(tests) + if not custom_byod_images: + return + build_config = {"group": "Custom images build", "steps": []} + + for image, base_image, post_build_script in custom_byod_images: + if not post_build_script: + continue + step = { + "label": f":tapioca: build custom: {image}", + "key": _generate_custom_build_step_key(image), + "instance_type": "release-medium", + "commands": [ + f"aws ecr get-login-password --region {config['byod_ecr_region']} | docker login --username AWS --password-stdin {config['byod_ecr']}", + f"bazelisk run //release:custom_byod_build -- --image-name {image} --base-image {base_image} --post-build-script {post_build_script}", + ], + } + if "ray-ml" in image: + step["depends_on"] = "anyscalemlbuild" + elif "ray-llm" in image: + step["depends_on"] = "anyscalellmbuild" + else: + step["depends_on"] = "anyscalebuild" + build_config["steps"].append(step) + + with open(destination_file, "w") as f: + yaml.dump(build_config, f, default_flow_style=False, sort_keys=False) diff --git a/release/ray_release/scripts/custom_byod_build_init.py b/release/ray_release/scripts/custom_byod_build_init.py new file mode 100644 index 000000000000..ba0df452e2ce --- /dev/null +++ b/release/ray_release/scripts/custom_byod_build_init.py @@ -0,0 +1,112 @@ +import os +from typing import Tuple +from pathlib import Path +import sys + +import click + +from ray_release.buildkite.filter import filter_tests +from ray_release.buildkite.settings import get_pipeline_settings +from ray_release.config import ( + read_and_validate_release_test_collection, + RELEASE_TEST_CONFIG_FILES, +) +from ray_release.configs.global_config import init_global_config +from ray_release.exception import ReleaseTestConfigError, ReleaseTestCLIError +from ray_release.logger import logger +from ray_release.custom_byod_build_init_helper import create_custom_build_yaml + + +@click.command( + help="Create a rayci yaml file for building custom BYOD images based on tests." +) +@click.option( + "--test-collection-file", + type=str, + multiple=True, + help="Test collection file, relative path to ray repo.", +) +@click.option( + "--run-jailed-tests", + is_flag=True, + show_default=True, + default=False, + help=("Will run jailed tests."), +) +@click.option( + "--run-unstable-tests", + is_flag=True, + show_default=True, + default=False, + help=("Will run unstable tests."), +) +@click.option( + "--global-config", + default="oss_config.yaml", + type=click.Choice( + [x.name for x in (Path(__file__).parent.parent / "configs").glob("*.yaml")] + ), + help="Global config to use for test execution.", +) +@click.option( + "--frequency", + default=None, + type=click.Choice(["manual", "nightly", "nightly-3x", "weekly"]), + help="Run frequency of the test", +) +@click.option( + "--test-filters", + default=None, + type=str, + help="Test filters by prefix/regex.", +) +def main( + test_collection_file: Tuple[str], + run_jailed_tests: bool = False, + run_unstable_tests: bool = False, + global_config: str = "oss_config.yaml", + frequency: str = None, + test_filters: str = None, +): + global_config_file = os.path.join( + os.path.dirname(__file__), "..", "configs", global_config + ) + init_global_config(global_config_file) + settings = get_pipeline_settings() + + frequency = frequency or settings["frequency"] + prefer_smoke_tests = settings["prefer_smoke_tests"] + test_filters = test_filters or settings["test_filters"] + + try: + test_collection = read_and_validate_release_test_collection( + test_collection_file or RELEASE_TEST_CONFIG_FILES + ) + except ReleaseTestConfigError as e: + raise ReleaseTestConfigError( + "Cannot load test yaml file.\nHINT: If you're kicking off tests for a " + "specific commit on Buildkite to test Ray wheels, after clicking " + "'New build', leave the commit at HEAD, and only specify the commit " + "in the dialog that asks for the Ray wheels." + ) from e + + filtered_tests = filter_tests( + test_collection, + frequency=frequency, + test_filters=test_filters, + prefer_smoke_tests=prefer_smoke_tests, + run_jailed_tests=run_jailed_tests, + run_unstable_tests=run_unstable_tests, + ) + logger.info(f"Found {len(filtered_tests)} tests to run.") + if len(filtered_tests) == 0: + raise ReleaseTestCLIError( + "Empty test collection. The selected frequency or filter did " + "not return any tests to run. Adjust your filters." + ) + tests = [test for test, _ in filtered_tests] + create_custom_build_yaml(".buildkite/release/custom_byod_build.rayci.yml", tests) + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py new file mode 100644 index 000000000000..895f192d3278 --- /dev/null +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -0,0 +1,77 @@ +import os +import tempfile +import sys +import pytest +from unittest import mock +import yaml + +from ray_release.custom_byod_build_init_helper import create_custom_build_yaml +from ray_release.configs.global_config import init_global_config +from ray_release.bazel import bazel_runfile +from ray_release.test import Test +from ray_release.configs.global_config import get_global_config + + +init_global_config(bazel_runfile("release/ray_release/configs/oss_config.yaml")) + + +@mock.patch("ray_release.custom_byod_build_init_helper.get_images_from_tests") +def test_create_custom_build_yaml(mock_get_images_from_tests): + config = get_global_config() + custom_byod_images = [ + ( + "ray-project/ray-ml:abc123-custom", + "ray-project/ray-ml:abc123-base", + "custom_script.sh", + ), + ("ray-project/ray-ml:abc123-custom", "ray-project/ray-ml:abc123-base", ""), + ( + "ray-project/ray-ml:nightly-py37-cpu-custom-abcdef123456789abc123456789", + "ray-project/ray-ml:nightly-py37-cpu-base", + "custom_script.sh", + ), # longer than 40 chars + ] + mock_get_images_from_tests.return_value = custom_byod_images + + # List of dummy tests + tests = [ + Test( + name="test_1", + frequency="manual", + group="test_group", + team="test_team", + working_dir="test_working_dir", + ), + Test( + name="test_2", + frequency="manual", + group="test_group", + team="test_team", + working_dir="test_working_dir", + ), + ] + with tempfile.TemporaryDirectory() as tmpdir: + create_custom_build_yaml( + os.path.join(tmpdir, "custom_byod_build.rayci.yml"), tests + ) + with open(os.path.join(tmpdir, "custom_byod_build.rayci.yml"), "r") as f: + content = yaml.safe_load(f) + assert content["group"] == "Custom images build" + assert len(content["steps"]) == 2 + assert ( + f"--region {config['byod_ecr_region']}" + in content["steps"][0]["commands"][0] + ) + assert f"{config['byod_ecr']}" in content["steps"][0]["commands"][0] + assert ( + f"--image-name {custom_byod_images[0][0]}" + in content["steps"][0]["commands"][1] + ) + assert ( + f"--image-name {custom_byod_images[2][0]}" + in content["steps"][1]["commands"][1] + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From eff5679d80d4a60d0baf588e81ed71a40d16189c Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 3 Sep 2025 20:10:57 -0700 Subject: [PATCH 1028/1566] [release] Baseline release test (#56017) Basic hello world release test with minimal cluster compute to smoke test release test pipeline. --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/hello_world_tests/hello_world.py | 14 +++++++++++++ .../hello_world_compute_config.yaml | 8 ++++++++ release/release_tests.yaml | 20 +++++++++++++++++++ 3 files changed, 42 insertions(+) create mode 100644 release/hello_world_tests/hello_world.py create mode 100644 release/hello_world_tests/hello_world_compute_config.yaml diff --git a/release/hello_world_tests/hello_world.py b/release/hello_world_tests/hello_world.py new file mode 100644 index 000000000000..84756ed0a2f4 --- /dev/null +++ b/release/hello_world_tests/hello_world.py @@ -0,0 +1,14 @@ +import ray + + +@ray.remote +def hello_world(): + return "Hello, world!" + + +def main(): + print(ray.get(hello_world.remote())) + + +if __name__ == "__main__": + main() diff --git a/release/hello_world_tests/hello_world_compute_config.yaml b/release/hello_world_tests/hello_world_compute_config.yaml new file mode 100644 index 000000000000..ca578bf09d6b --- /dev/null +++ b/release/hello_world_tests/hello_world_compute_config.yaml @@ -0,0 +1,8 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +head_node_type: + name: head_node + instance_type: m5.xlarge + +worker_node_types: [] diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 835ceacbe3f6..b124ef316c81 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -76,6 +76,26 @@ # # It can then let the test fail, e.g. if a metric regression is observed. # alert: default +####################### +# Baseline test +####################### +- name: hello_world + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + + cluster: + byod: {} + cluster_compute: hello_world_compute_config.yaml + + run: + timeout: 1800 + script: python hello_world.py + + variations: + - __suffix__: aws + ####################### # Cluster scaling tests ####################### From 58430158dbbd55da82c5a0eb69595a722dc155ed Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 3 Sep 2025 21:54:35 -0700 Subject: [PATCH 1029/1566] [core] (cgroups 2/n) adding integration tests for the cgroup sysfs driver. (#55063) Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 9 +- src/ray/common/cgroup2/BUILD.bazel | 23 +- src/ray/common/cgroup2/cgroup_test_utils.cc | 286 +++++++++ src/ray/common/cgroup2/cgroup_test_utils.h | 134 +++++ .../cgroup2/integration_tests/BUILD.bazel | 24 + .../sysfs_cgroup_driver_integration_test.cc | 558 ++++++++++++++++++ ...roup_driver_integration_test_entrypoint.sh | 116 ++++ ..._cgroup_driver_integration_test_fixture.sh | 168 ++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 4 +- src/ray/common/cgroup2/tests/BUILD.bazel | 23 +- .../common/cgroup2/tests/cgroup_test_utils.cc | 107 ---- .../common/cgroup2/tests/cgroup_test_utils.h | 71 --- .../cgroup2/tests/sysfs_cgroup_driver_test.cc | 4 +- 13 files changed, 1319 insertions(+), 208 deletions(-) create mode 100644 src/ray/common/cgroup2/cgroup_test_utils.cc create mode 100644 src/ray/common/cgroup2/cgroup_test_utils.h create mode 100644 src/ray/common/cgroup2/integration_tests/BUILD.bazel create mode 100644 src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc create mode 100755 src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh create mode 100755 src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_fixture.sh delete mode 100644 src/ray/common/cgroup2/tests/cgroup_test_utils.cc delete mode 100644 src/ray/common/cgroup2/tests/cgroup_test_utils.h diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index e57b4d61e8b8..c1291858d276 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -291,15 +291,14 @@ steps: - "3.11" - "3.12" - "3.13" - - # cpp tests - label: ":ray: core: cgroup tests" tags: core_cpp instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --only-tags=cgroup --build-type cgroup - --privileged --cache-test-results - + - bazel run //ci/ray_ci:test_in_docker -- //:all //src/ray/common/cgroup2/tests/... core --build-type clang --cache-test-results + - docker run --privileged -i --rm --volume /tmp/artifacts:/artifact-mount --shm-size=2.5gb + "$${RAYCI_WORK_REPO}":"$${RAYCI_BUILD_ID}"-corebuild /bin/bash + "./src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh" - label: ":ray: core: cpp tests" tags: core_cpp instance_type: medium diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index b74e0505428c..2822450214c2 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -5,8 +5,8 @@ ray_cc_library( hdrs = [ "cgroup_driver_interface.h", ], - tags = [ - "no_windows", + target_compatible_with = [ + "@platforms//os:linux", ], deps = [ "//src/ray/common:status", @@ -20,8 +20,8 @@ ray_cc_library( hdrs = [ "sysfs_cgroup_driver.h", ], - tags = [ - "no_windows", + target_compatible_with = [ + "@platforms//os:linux", ], deps = [ ":cgroup_driver_interface", @@ -31,3 +31,18 @@ ray_cc_library( "@com_google_absl//absl/strings", ], ) + +ray_cc_library( + name = "cgroup_test_utils", + srcs = ["cgroup_test_utils.cc"], + hdrs = ["cgroup_test_utils.h"], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/common:status_or", + "@com_google_absl//absl/strings:str_format", + ], +) diff --git a/src/ray/common/cgroup2/cgroup_test_utils.cc b/src/ray/common/cgroup2/cgroup_test_utils.cc new file mode 100644 index 000000000000..82452818eefc --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_test_utils.cc @@ -0,0 +1,286 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/cgroup_test_utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "absl/strings/str_format.h" +#include "ray/common/id.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" +#include "ray/util/logging.h" + +ray::StatusOr> TempCgroupDirectory::Create( + const std::string &base_path, mode_t mode) { + std::string random_name = ray::UniqueID::FromRandom().Hex(); + std::string name = random_name.substr(0, std::min(6, random_name.size())); + std::string path = base_path + std::filesystem::path::preferred_separator + name; + if (mkdir(path.c_str(), mode) == -1) { + return ray::Status::IOError( + absl::StrFormat("Failed to create cgroup directory at path %s.\n" + "Cgroup tests expect tmpfs and cgroupv2 to be mounted " + "and only run on Linux.\n" + "Error: %s", + path, + strerror(errno))); + } + auto output = std::make_unique(std::move(name), std::move(path)); + return output; +} + +TempCgroupDirectory::~TempCgroupDirectory() noexcept(false) { + RAY_CHECK(rmdir(path_.c_str()) != -1) << absl::StrFormat( + "Failed to delete a cgroup directory at %s with error %s. Please manually " + "delete it with rmdir.", + path_, + strerror(errno)); +} + +ray::StatusOr> TempDirectory::Create() { + std::string path = "/tmp/XXXXXX"; + char *ret = mkdtemp(path.data()); + if (ret == nullptr) { + return ray::Status::Invalid( + absl::StrFormat("Failed to create a temp directory on tmpfs with error %s." + "Cgroup tests expect tmpfs to be mounted and only run on Linux.", + strerror(errno))); + } + std::unique_ptr temp_dir = + std::make_unique(std::move(path)); + return ray::StatusOr>(std::move(temp_dir)); +} + +TempDirectory::~TempDirectory() { + std::error_code error_code; + RAY_CHECK(std::filesystem::remove_all(path_, error_code)) << absl::StrFormat( + "Failed to delete temp directory at %s with error %s. Please manually " + "delete it with rmdir.", + path_, + error_code.message()); +} + +/** + Note: clone3 supports creating a process inside a cgroup instead of creating + and then moving. However, clone3 does not have a glibc wrapper and + must be called directly using syscall syscall (see man 2 syscall). + This function needs linux kernel >= 5.7 to use the CLONE_INTO_CGROUP flag. +*/ +#ifdef CLONE_INTO_CGROUP +ray::StatusOr> StartChildProcessInCgroup( + const std::string &cgroup_path) { + int cgroup_fd = open(cgroup_path.c_str(), O_RDONLY); + if (cgroup_fd == -1) { + return ray::Status::InvalidArgument( + absl::StrFormat("Unable to open fd for cgroup at %s with error %s.", + cgroup_path, + strerror(errno))); + } + + // Will be set by clone3 if a child process is successfully created. + pid_t child_pidfd = -1; + + clone_args cl_args = {}; + cl_args.flags = CLONE_PIDFD | CLONE_INTO_CGROUP; + cl_args.cgroup = cgroup_fd; + + // Can be used both as a pid and as a fd. + cl_args.pidfd = ((__u64)((uintptr_t)(&child_pidfd))); + + int child_pid = -1; + + if ((child_pid = syscall(__NR_clone3, &cl_args, sizeof(struct clone_args))) == -1) { + close(cgroup_fd); + return ray::Status::Invalid( + absl::StrFormat("Failed to clone process into cgroup %s with error %s.", + cgroup_path, + strerror(errno))); + } + + if (child_pid == 0) { + // Child process will wait for parent to unblock it. + pause(); + _exit(0); + } + + // Parent process will continue here. + close(cgroup_fd); + return std::make_pair(child_pid, static_cast(child_pidfd)); +} +#else +// Fallback for older kernels. Uses fork/exec instead. +ray::StatusOr> StartChildProcessInCgroup( + const std::string &cgroup_path) { + int new_pid = fork(); + if (new_pid == -1) { + return ray::Status::Invalid( + absl::StrFormat("Failed to fork process with error %s.", strerror(errno))); + } + + if (new_pid == 0) { + // Child process will pause and wait for parent to terminate and reap it. + pause(); + _exit(0); + } + + std::string cgroup_proc_file_path = cgroup_path + "/cgroup.procs"; + + // Parent process has to move the process into a cgroup. + int cgroup_fd = open(cgroup_proc_file_path.c_str(), O_RDWR); + + if (cgroup_fd == -1) { + return ray::Status::Invalid( + absl::StrFormat("Failed to open cgroup procs file at path %s with error %s.", + cgroup_proc_file_path, + strerror(errno))); + } + + std::string pid_to_write = std::to_string(new_pid); + + if (write(cgroup_fd, pid_to_write.c_str(), pid_to_write.size()) == -1) { + // Best effort killing of the child process because we couldn't move it + // into the cgroup. + kill(SIGKILL, new_pid); + close(cgroup_fd); + return ray::Status::Invalid( + absl::StrFormat("Failed to write pid %i to cgroup procs file %s with error %s.", + new_pid, + cgroup_proc_file_path, + strerror(errno))); + } + + close(cgroup_fd); + + int child_pidfd = static_cast(syscall(SYS_pidfd_open, new_pid, 0)); + if (child_pidfd == -1) { + // Best effort killing of the child process because we couldn't create + // a pidfd from the process. + kill(SIGKILL, new_pid); + close(cgroup_fd); + return ray::Status::Invalid( + absl::StrFormat("Failed to create process fd for pid %i with error %s.", + new_pid, + strerror(errno))); + } + return std::make_pair(new_pid, child_pidfd); +} +#endif + +ray::Status TerminateChildProcessAndWaitForTimeout(pid_t pid, int fd, int timeout_ms) { + if (kill(pid, SIGKILL) == -1) { + return ray::Status::InvalidArgument(absl::StrFormat( + "Failed to send SIGTERM to pid: %i with error %s.", pid, strerror(errno))); + } + struct pollfd poll_fd = { + .fd = fd, + .events = POLLIN, + }; + + int poll_status = poll(&poll_fd, 1, timeout_ms); + if (poll_status == -1) { + return ray::Status::InvalidArgument( + absl::StrFormat("Failed to poll process pid: %i, fd: %i with error %s. Process " + "was not killed. Kill it manually to prevent a leak.", + pid, + fd, + strerror(errno))); + } + if (poll_status == 0) { + return ray::Status::Invalid( + absl::StrFormat("Process pid: %i, fd: %i was not killed within the timeout of " + "%ims. Kill it manually to prevent a leak.", + pid, + fd, + timeout_ms)); + } + siginfo_t dummy = {0}; + int wait_id_status = waitid(P_PID, static_cast(fd), &dummy, WEXITED); + if (wait_id_status == -1) { + if (errno != ECHILD) + return ray::Status::Invalid( + absl::StrFormat("Failed to wait for process pid: %i, fd: %i with error %s. " + "Process was not reaped, but " + "it will be reaped by init after program exits.", + pid, + fd, + strerror(errno))); + }; + return ray::Status::OK(); +} + +TempFile::TempFile(std::string path) { + path_ = path; + fd_ = open(path_.c_str(), O_RDWR | O_CREAT, S_IRUSR | S_IWUSR); // NOLINT + RAY_CHECK(fd_ != -1) << absl::StrFormat( + "Failed to create a temp file at path %s with error %s. Cgroup tests expect " + "tmpfs to be mounted and only run on Linux.", + path_, + strerror(errno)); + file_output_stream_ = std::ofstream(path_, std::ios::trunc); + RAY_CHECK(file_output_stream_.is_open()) << absl::StrFormat( + "Failed to open file %s on tmpfs with error %s", path_, strerror(errno)); +} + +TempFile::TempFile() { + fd_ = mkstemp(path_.data()); // NOLINT + if (fd_ == -1) { + throw std::runtime_error( + "Failed to create a temp file. Cgroup tests expect tmpfs to be " + "mounted " + "and only run on Linux"); + } + file_output_stream_ = std::ofstream(path_, std::ios::trunc); + RAY_CHECK(file_output_stream_.is_open()) + << absl::StrFormat("Could not open temporary file at path %s.", path_); +} + +TempFile::~TempFile() { + RAY_CHECK(close(fd_) != -1) << absl::StrFormat( + "Failed to close file descriptor with error %s.", strerror(errno)); + file_output_stream_.close(); + RAY_CHECK(unlink(path_.c_str()) != -1) + << absl::StrFormat("Failed to unlink temporary file at path %s with error %s.", + path_, + strerror(errno)); +} + +void TempFile::AppendLine(const std::string &line) { + file_output_stream_ << line; + file_output_stream_.flush(); + // All current callers treat this is as a fatal error so this is a RAY_CHECK + // instead of returning a Status. + RAY_CHECK(file_output_stream_.good()) + << absl::StrFormat("Failed to write to temporary file at path %s.", path_); +} diff --git a/src/ray/common/cgroup2/cgroup_test_utils.h b/src/ray/common/cgroup2/cgroup_test_utils.h new file mode 100644 index 000000000000..29cb8364eb84 --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_test_utils.h @@ -0,0 +1,134 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include + +#include +#include +#include +#include + +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +class TempCgroupDirectory { + public: + static ray::StatusOr> Create( + const std::string &base_path, mode_t mode = 0777); + + TempCgroupDirectory() = default; + explicit TempCgroupDirectory(std::string &&name, std::string &&path) + : name_(name), path_(path) {} + + TempCgroupDirectory(const TempCgroupDirectory &) = delete; + TempCgroupDirectory(TempCgroupDirectory &&) = delete; + TempCgroupDirectory &operator=(const TempCgroupDirectory &) = delete; + TempCgroupDirectory &operator=(TempCgroupDirectory &&) = delete; + + const std::string &GetPath() const { return path_; } + const std::string &GetName() const { return name_; } + + ~TempCgroupDirectory() noexcept(false); + + private: + std::string name_; + std::string path_; +}; + +class TempDirectory { + public: + static ray::StatusOr> Create(); + explicit TempDirectory(std::string &&path) : path_(path) {} + + TempDirectory(const TempDirectory &) = delete; + TempDirectory(TempDirectory &&) = delete; + TempDirectory &operator=(const TempDirectory &) = delete; + TempDirectory &operator=(TempDirectory &&) = delete; + + const std::string &GetPath() const { return path_; } + + ~TempDirectory(); + + private: + const std::string path_; +}; + +class TempFile { + public: + explicit TempFile(std::string path); + TempFile(); + + TempFile(TempFile &other) = delete; + TempFile(TempFile &&other) = delete; + TempFile operator=(TempFile &other) = delete; + TempFile &operator=(TempFile &&other) = delete; + + ~TempFile(); + void AppendLine(const std::string &line); + + const std::string &GetPath() const { return path_; } + + private: + std::string path_ = "/tmp/XXXXXX"; + std::ofstream file_output_stream_; + int fd_; +}; + +/** + Starts a process in the given cgroup. Assumes the cgroup already exists and + that the caller has read-write the lowest-common ancestor of the cgroup + the current process is running in and the target cgroup. + + The spawned process will wait forever for the parent to unblock it and then + reap it. + + @param target_cgroup_path target cgroup to create a process in. + @return Status::OK with a pair of the processfd and pid if successful + @return Status::InvalidArgument if target cgroup does exist or current process + has insufficient permissions. + @return Status::Invalid if process cannot be forked/cloned or processfd cannot + be obtained. +*/ +ray::StatusOr> StartChildProcessInCgroup( + const std::string &target_cgroup_path); + +/** + Kills the specified process and polls its processfd to reap it with a timeout. + + @param pid + @param process_fd can be used as a fd and as a pid. It can be created using + clone or pidfd_open or clone. + @param timeout_ms + + @return Status::OK if successfully terminated the process and reaped it. + @return Status::InvalidArgument if could not send SIGKILL to the process or poll its fd. + @return Status::Invalid if could not reap the process within the timeout. +*/ +ray::Status TerminateChildProcessAndWaitForTimeout(pid_t pid, int fd, int timeout_ms); + +// Convenience methods so you can print the TempCgroupDirectory's path directly +// instead of calling temp_cgroup_dir.GetPath() everytime. +std::ostream &operator<<(std::ostream &os, const TempCgroupDirectory &temp_cgroup_dir) { + return os << temp_cgroup_dir.GetPath(); +} + +std::ostream &operator<<(std::ostream &os, + const std::unique_ptr &ptr) { + if (ptr == nullptr) { + return os << ""; + } + return os << *ptr; +} diff --git a/src/ray/common/cgroup2/integration_tests/BUILD.bazel b/src/ray/common/cgroup2/integration_tests/BUILD.bazel new file mode 100644 index 000000000000..fda28fe9a638 --- /dev/null +++ b/src/ray/common/cgroup2/integration_tests/BUILD.bazel @@ -0,0 +1,24 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +# This test is run through sysfs_cgroup_driver_integration_test_entrypoint.sh +# See sysfs_cgroup_driver_integration_test_entrypoint.sh for instructions +# for how to run locally. +ray_cc_test( + name = "sysfs_cgroup_driver_integration_test", + srcs = ["sysfs_cgroup_driver_integration_test.cc"], + tags = [ + "cgroup", + "team:core", + ], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + "//src/ray/common:status", + "//src/ray/common:status_or", + "//src/ray/common/cgroup2:cgroup_test_utils", + "//src/ray/common/cgroup2:sysfs_cgroup_driver", + "@com_google_absl//absl/strings:str_format", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc new file mode 100644 index 000000000000..52dbf51eb72e --- /dev/null +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc @@ -0,0 +1,558 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#include +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_test_utils.h" +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" +#include "ray/common/status.h" + +constexpr const char *ENV_VAR_TEST_CGROUP_PATH = "CGROUP_PATH"; + +namespace ray { + +class SysFsCgroupDriverIntegrationTest : public ::testing::Test { + protected: + static void SetUpTestSuite() { + const char *cgroup_env = std::getenv(ENV_VAR_TEST_CGROUP_PATH); + if (!cgroup_env || std::string(cgroup_env).empty()) { + throw std::runtime_error("Environment variable CGROUP_PATH not set or empty"); + } + test_cgroup_path_ = cgroup_env; + } + + static const std::string &GetTestCgroupPath() { return test_cgroup_path_; } + + inline static std::string test_cgroup_path_; +}; + +TEST_F(SysFsCgroupDriverIntegrationTest, + SysFsCgroupDriverIntegrationTestFailsIfNoCgroupTestPathSpecified) { + ASSERT_FALSE(test_cgroup_path_.empty()) + << "These integration tests cannot be run without the " + "environment variable CGROUP_TEST_PATH"; +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + CheckCgroupFailsIfCgroupv2PathButNoReadPermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, 0000); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup(cgroup_dir->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + CheckCgroupFailsIfCgroupv2PathButNoWritePermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup(cgroup_dir->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + CheckCgroupFailsIfCgroupv2PathButNoExecPermissions) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup(cgroup_dir->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + CheckCgroupSucceedsIfCgroupv2PathAndReadWriteExecPermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CheckCgroup(cgroup_dir->GetPath()); + EXPECT_TRUE(s.ok()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, CreateCgroupFailsIfAlreadyExists) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.CreateCgroup(cgroup_dir->GetPath()); + ASSERT_TRUE(s.IsAlreadyExists()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, CreateCgroupFailsIfAncestorCgroupDoesNotExist) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string non_existent_path = cgroup_dir->GetPath() + + std::filesystem::path::preferred_separator + "no" + + std::filesystem::path::preferred_separator + "bueno"; + Status s = driver.CreateCgroup(non_existent_path); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, CreateCgroupFailsIfOnlyReadPermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string child_cgroup_path = + cgroup_dir->GetPath() + std::filesystem::path::preferred_separator + "child"; + Status s = driver.CreateCgroup(child_cgroup_path); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, CreateCgroupFailsIfOnlyReadWritePermissions) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string child_cgroup_path = + cgroup_dir->GetPath() + std::filesystem::path::preferred_separator + "child"; + Status s = driver.CreateCgroup(child_cgroup_path); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + CreateCgroupSucceedsIfParentExistsAndReadWriteExecPermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string child_cgroup_path = + cgroup_dir->GetPath() + std::filesystem::path::preferred_separator + "child"; + Status s = driver.CreateCgroup(child_cgroup_path); + EXPECT_TRUE(s.ok()) << s.ToString(); + Status check_status = driver.CheckCgroup(child_cgroup_path); + EXPECT_TRUE(check_status.ok()) << check_status.ToString(); + ASSERT_EQ(rmdir(child_cgroup_path.c_str()), 0) + << "Failed to cleanup test cgroup at path " << child_cgroup_path << ".\n" + << "Error: " << strerror(errno); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + GetAvailableControllersFailsIfCgroupDoesNotExist) { + std::string non_existent_path = test_cgroup_path_ + + std::filesystem::path::preferred_separator + "no" + + std::filesystem::path::preferred_separator + "bueno"; + SysFsCgroupDriver driver; + StatusOr> s = + driver.GetAvailableControllers(non_existent_path); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + GetAvailableControllersFailsIfReadWriteButNotExecutePermissions) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + std::unique_ptr cgroup_dir = + std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + StatusOr> s = + driver.GetAvailableControllers(cgroup_dir->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + GetAvailableControllersSucceedsWithCPUAndMemoryControllersOnBaseCgroup) { + SysFsCgroupDriver driver; + StatusOr> s = + driver.GetAvailableControllers(test_cgroup_path_); + EXPECT_TRUE(s.ok()) << s.ToString(); + std::unordered_set controllers = std::move(s.value()); + EXPECT_TRUE(controllers.find("cpu") != controllers.end()) + << "Cgroup integration tests expect the base cgroup at " << test_cgroup_path_ + << " has the cpu controller available"; +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + GetAvailableControllersSucceedsWithNoAvailableControllers) { + auto parent_cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(parent_cgroup_dir_or_status.ok()) << parent_cgroup_dir_or_status.ToString(); + std::unique_ptr parent_cgroup = + std::move(parent_cgroup_dir_or_status.value()); + auto child_cgroup_dir_or_status = + TempCgroupDirectory::Create(parent_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(child_cgroup_dir_or_status.ok()) << child_cgroup_dir_or_status.ToString(); + std::unique_ptr child_cgroup = + std::move(child_cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + StatusOr> s = + driver.GetAvailableControllers(child_cgroup->GetPath()); + EXPECT_TRUE(s.ok()) << s.ToString(); + std::unordered_set controllers = std::move(s.value()); + EXPECT_EQ(controllers.size(), 0); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, MoveAllProcessesFailsIfSourceDoesntExist) { + auto ancestor_cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(ancestor_cgroup_or_status.ok()) << ancestor_cgroup_or_status.ToString(); + auto ancestor_cgroup = std::move(ancestor_cgroup_or_status.value()); + auto dest_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(dest_cgroup_or_status.ok()) << dest_cgroup_or_status.ToString(); + auto dest_cgroup = std::move(dest_cgroup_or_status.value()); + // Do not create the source cgroup + std::string non_existent_path = + ancestor_cgroup->GetPath() + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(non_existent_path, dest_cgroup->GetPath()); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, MoveAllProcessesFailsIfDestDoesntExist) { + auto ancestor_cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(ancestor_cgroup_or_status.ok()) << ancestor_cgroup_or_status.ToString(); + auto ancestor_cgroup = std::move(ancestor_cgroup_or_status.value()); + auto source_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(source_cgroup_or_status.ok()) << source_cgroup_or_status.ToString(); + auto source_cgroup = std::move(source_cgroup_or_status.value()); + // Do not create the dest cgroup. + std::string non_existent_path = + ancestor_cgroup->GetPath() + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(source_cgroup->GetPath(), non_existent_path); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + MoveAllProcessesFailsIfNotReadWriteExecPermissionsForSource) { + auto ancestor_cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(ancestor_cgroup_or_status.ok()) << ancestor_cgroup_or_status.ToString(); + auto ancestor_cgroup = std::move(ancestor_cgroup_or_status.value()); + auto source_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRUSR | S_IWUSR); + ASSERT_TRUE(source_cgroup_or_status.ok()) << source_cgroup_or_status.ToString(); + auto source_cgroup = std::move(source_cgroup_or_status.value()); + auto dest_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(dest_cgroup_or_status.ok()) << dest_cgroup_or_status.ToString(); + auto dest_cgroup = std::move(dest_cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(source_cgroup->GetPath(), dest_cgroup->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + MoveAllProcessesFailsIfNotReadWriteExecPermissionsForDest) { + auto ancestor_cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(ancestor_cgroup_or_status.ok()) << ancestor_cgroup_or_status.ToString(); + auto ancestor_cgroup = std::move(ancestor_cgroup_or_status.value()); + auto source_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(source_cgroup_or_status.ok()) << source_cgroup_or_status.ToString(); + auto source_cgroup = std::move(source_cgroup_or_status.value()); + auto dest_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRUSR | S_IWUSR); + ASSERT_TRUE(dest_cgroup_or_status.ok()) << dest_cgroup_or_status.ToString(); + auto dest_cgroup = std::move(dest_cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(source_cgroup->GetPath(), dest_cgroup->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + MoveAllProcessesFailsIfNotReadWriteExecPermissionsForAncestor) { + auto ancestor_cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(ancestor_cgroup_or_status.ok()) << ancestor_cgroup_or_status.ToString(); + auto ancestor_cgroup = std::move(ancestor_cgroup_or_status.value()); + auto source_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(source_cgroup_or_status.ok()) << source_cgroup_or_status.ToString(); + auto source_cgroup = std::move(source_cgroup_or_status.value()); + auto dest_cgroup_or_status = + TempCgroupDirectory::Create(ancestor_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(dest_cgroup_or_status.ok()) << dest_cgroup_or_status.ToString(); + auto dest_cgroup = std::move(dest_cgroup_or_status.value()); + ASSERT_EQ(chmod(ancestor_cgroup->GetPath().c_str(), S_IRUSR), 0) + << "Failed to chmod cgroup directory " << ancestor_cgroup->GetPath() + << "\n Error: " << strerror(errno); + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(source_cgroup->GetPath(), dest_cgroup->GetPath()); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); + // Change the permissions back read, write, and execute so cgroup can be deleted. + ASSERT_EQ(chmod(ancestor_cgroup->GetPath().c_str(), S_IRWXU), 0) + << "Failed to chmod cgroup directory " << ancestor_cgroup->GetPath() + << "\n Error: " << strerror(errno); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + MoveAllProcessesSucceedsWithCorrectPermissionsAndValidCgroups) { + auto source_cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(source_cgroup_or_status.ok()) << source_cgroup_or_status.ToString(); + auto source_cgroup = std::move(source_cgroup_or_status.value()); + auto dest_cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(dest_cgroup_or_status.ok()) << dest_cgroup_or_status.ToString(); + auto dest_cgroup = std::move(dest_cgroup_or_status.value()); + StatusOr> child_process_s = + StartChildProcessInCgroup(source_cgroup->GetPath()); + ASSERT_TRUE(child_process_s.ok()) << child_process_s.ToString(); + auto [child_pid, child_pidfd] = child_process_s.value(); + SysFsCgroupDriver driver; + Status s = driver.MoveAllProcesses(source_cgroup->GetPath(), dest_cgroup->GetPath()); + ASSERT_TRUE(s.ok()) << s.ToString(); + // Assert that the child's pid is actually in the new file. + std::string dest_cgroup_procs_file_path = dest_cgroup->GetPath() + + std::filesystem::path::preferred_separator + + "cgroup.procs"; + std::ifstream dest_cgroup_procs_file(dest_cgroup_procs_file_path); + ASSERT_TRUE(dest_cgroup_procs_file.is_open()) + << "Could not open file " << dest_cgroup_procs_file_path << "."; + std::unordered_set dest_cgroup_pids; + int pid = -1; + while (dest_cgroup_procs_file >> pid) { + ASSERT_FALSE(dest_cgroup_procs_file.fail()) + << "Unable to read pid from file " << dest_cgroup_procs_file_path; + dest_cgroup_pids.emplace(pid); + } + EXPECT_EQ(dest_cgroup_pids.size(), 1); + EXPECT_TRUE(dest_cgroup_pids.find(child_pid) != dest_cgroup_pids.end()); + Status terminate_s = + TerminateChildProcessAndWaitForTimeout(child_pid, child_pidfd, 5000); + ASSERT_TRUE(terminate_s.ok()) << terminate_s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + EnableControllerFailsIfReadOnlyPermissionsForCgroup) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.EnableController(cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + EnableControllerFailsIfReadWriteOnlyPermissionsForCgroup) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.EnableController(cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, EnableControllerFailsIfCgroupDoesNotExist) { + std::string non_existent_path = + test_cgroup_path_ + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.EnableController(non_existent_path, "memory"); + ASSERT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + EnableControllerFailsIfControllerNotAvailableForCgroup) { + // This will inherit controllers available because testing_cgroup_ has + // CPU and Memory controllers available. + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + auto nested_cgroup_dir_or_status = + TempCgroupDirectory::Create(cgroup_dir->GetPath(), S_IRWXU); + ASSERT_TRUE(nested_cgroup_dir_or_status.ok()) << nested_cgroup_dir_or_status.ToString(); + auto nested_cgroup_dir = std::move(nested_cgroup_dir_or_status.value()); + // Make sure that the cgroup has 0 available controllers. + SysFsCgroupDriver driver; + auto available_controllers_s = + driver.GetAvailableControllers(nested_cgroup_dir->GetPath()); + ASSERT_TRUE(available_controllers_s.ok()) << available_controllers_s.ToString(); + auto available_controllers = std::move(available_controllers_s.value()); + ASSERT_EQ(available_controllers.size(), 0); + Status s = driver.EnableController(nested_cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DisableControllerFailsIfControllerNotEnabled) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + auto enabled_controllers_s = driver.GetEnabledControllers(cgroup_dir->GetPath()); + ASSERT_TRUE(enabled_controllers_s.ok()) << enabled_controllers_s.ToString(); + auto enabled_controllers = std::move(enabled_controllers_s.value()); + ASSERT_EQ(enabled_controllers.size(), 0); + Status s = driver.DisableController(cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + DisableControllerFailsIfReadOnlyPermissionsForCgroup) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.DisableController(cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + DisableControllerFailsIfReadWriteOnlyPermissionsForCgroup) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.DisableController(cgroup_dir->GetPath(), "memory"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DisableControllerFailsIfCgroupDoesNotExist) { + std::string non_existent_path = + test_cgroup_path_ + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.DisableController(non_existent_path, "memory"); + ASSERT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + EnableAndDisableControllerSucceedWithCorrectInputAndPermissions) { + auto parent_cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(parent_cgroup_dir_or_status.ok()) << parent_cgroup_dir_or_status.ToString(); + auto parent_cgroup_dir = std::move(parent_cgroup_dir_or_status.value()); + auto child_cgroup_dir_or_status = + TempCgroupDirectory::Create(parent_cgroup_dir->GetPath(), S_IRWXU); + ASSERT_TRUE(child_cgroup_dir_or_status.ok()) << child_cgroup_dir_or_status.ToString(); + auto child_cgroup_dir = std::move(child_cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + + // There should be no enabled controllers on the parent cgroup so enabling the memory + // controller should fail. + Status invalid_argument_s = driver.EnableController(child_cgroup_dir->GetPath(), "cpu"); + ASSERT_TRUE(invalid_argument_s.IsInvalidArgument()) << invalid_argument_s.ToString(); + + // Enable the controller on the parent cgroup to make it available on the child + Status enable_parent_s = driver.EnableController(parent_cgroup_dir->GetPath(), "cpu"); + ASSERT_TRUE(enable_parent_s.ok()) << enable_parent_s.ToString(); + + // Enable the controller on the child cgroup. + Status enable_child_s = driver.EnableController(child_cgroup_dir->GetPath(), "cpu"); + ASSERT_TRUE(enable_child_s.ok()) << enable_child_s.ToString(); + + // Cannot disable the controller on the parent cgroup while the child cgroup + // still has it enabled. + Status disable_parent_failure_s = + driver.DisableController(parent_cgroup_dir->GetPath(), "cpu"); + ASSERT_FALSE(disable_parent_failure_s.ok()) << enable_parent_s.ToString(); + // Disable the controller on the child cgroup. + Status disable_child_s = driver.DisableController(child_cgroup_dir->GetPath(), "cpu"); + ASSERT_TRUE(disable_child_s.ok()) << disable_child_s.ToString(); + // Can now disable the controller on the parent cgroup. + Status disable_parent_success_s = + driver.DisableController(parent_cgroup_dir->GetPath(), "cpu"); + ASSERT_TRUE(disable_parent_success_s.ok()) << disable_parent_success_s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintFailsIfCgroupDoesntExist) { + std::string non_existent_path = + test_cgroup_path_ + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.AddConstraint(non_existent_path, "memory.min", "1"); + ASSERT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + AddResourceConstraintFailsIfReadOnlyPermissions) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + AddResourceConstraintFailsIfReadWriteOnlyPermissions) { + auto cgroup_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + AddResourceConstraintFailsIfConstraintNotSupported) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + // "memory.max" is not supported. + Status s = driver.AddConstraint(cgroup->GetPath(), "memory.max", "1"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} +TEST_F(SysFsCgroupDriverIntegrationTest, + AddResourceConstraintFailsIfControllerNotEnabled) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + // Memory controller is not enabled. + Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} +TEST_F(SysFsCgroupDriverIntegrationTest, + AddResourceConstraintFailsIfInvalidConstraintValue) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + // Enable the cpu controller first. + Status enable_controller_s = driver.EnableController(cgroup->GetPath(), "cpu"); + ASSERT_TRUE(enable_controller_s.ok()) << enable_controller_s.ToString(); + // cpu.weight must be between [1,10000] + Status s_too_low = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "0"); + ASSERT_TRUE(s_too_low.IsInvalidArgument()) << s_too_low.ToString(); + Status s_too_high = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "10001"); + ASSERT_TRUE(s_too_high.IsInvalidArgument()) << s_too_high.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintSucceeds) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + // Enable the cpu controller first. + Status enable_controller_s = driver.EnableController(cgroup->GetPath(), "cpu"); + ASSERT_TRUE(enable_controller_s.ok()) << enable_controller_s.ToString(); + // cpu.weight must be between [1,10000] + Status s = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "500"); + ASSERT_TRUE(s.ok()) << s.ToString(); +} +} // namespace ray diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh new file mode 100755 index 000000000000..ee4f8d3fa3de --- /dev/null +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh @@ -0,0 +1,116 @@ +#!/usr/bin/env bash +set -euo pipefail + +# To run this test locally, you will need to run it as the root user to be able +# to create cgroups, add users etc. It is recommended to first create a cgroup for testing +# so the tests do not interfere with your root cgroup. +# +# 1) Create a cgroup +# sudo mkdir -p /sys/fs/cgroup/testing +# +# 2) Enable rwx permissions for files in the cgroup +# sudo chmod u+rwx /sys/fs/cgroup/testing +# +# 2) Move the current process into the cgroup +# echo $$ | sudo tee /sys/fs/cgroup/testing/cgroup.procs +# +# 3) Execute the tests with sudo passing your ROOT_CGROUP +# NOTE: the "env PATH=${PATH}" is for the root user to find the bazel executable +# since it may not already be in its path. +# sudo env PATH="${PATH}" ./sysfs_cgroup_driver_integration_test_entrypoint.sh /sys/fs/cgroup/testing +# +# If cleanup fails during local testing, you can run to remove all created cgroups. +# sudo find /sys/fs/cgroup/testing -type d -depth 10 -exec rmdir {} + +if [[ "$(uname -s)" != "Linux" ]]; then + echo "ERROR: Cgroup integration tests can only be run on Linux." + echo " The current OS is $(uname)" + exit 0 +fi + +BAZEL=$(which bazel) +# Defaults to /sys/fs/cgroup if not passed in as an argument. +ROOT_CGROUP="${1:-/sys/fs/cgroup}" +CURR_USER=$(whoami) + +echo "Starting Cgroupv2 Integration Tests as user ${CURR_USER}" +echo "ROOT_CGROUP is ${ROOT_CGROUP}." + +if ! grep -qE 'cgroup2\srw' /etc/mtab; then + echo "Failed because cgroupv2 is not mounted on the system in read-write mode." + echo "See the following documentation for how to enable cgroupv2 properly:" + echo "https://kubernetes.io/docs/concepts/architecture/cgroups/#linux-distribution-cgroup-v2-support" + exit 1 +fi +if grep -qE "cgroup\sr" /etc/mtab; then + echo "Failed because cgroupv2 and cgroupv1 is mounted on this system." + echo "See the following documentation for how to enable cgroupv2 in properly in unified mode:" + echo "https://kubernetes.io/docs/concepts/architecture/cgroups/#linux-distribution-cgroup-v2-support" + exit 1 +fi +if [[ ! -w ${ROOT_CGROUP} ]]; then + echo "$(whoami) needs read and write access to ${ROOT_CGROUP} to run integration tests." + echo "Run 'sudo chown -R ${CURR_USER} ${ROOT_CGROUP}' to fix this." + exit 1 +fi +if ! grep -qE '\scpu\s' "${ROOT_CGROUP}"/cgroup.controllers; then + echo "Failed because the cpu controller is not available in the ${ROOT_CGROUP}/cgroup.controllers." + echo "To enable the cpu controller, you need to add it to the parent cgroup of ${ROOT_CGROUP}." + echo "See: https://docs.kernel.org/admin-guide/cgroup-v2.html#enabling-and-disabling." + exit 1 +fi +if ! grep -qE '\smemory\s' "${ROOT_CGROUP}"/cgroup.controllers; then + echo "Failed because the memory controller is not available in the ${ROOT_CGROUP}/cgroup.controllers." + echo "To enable the memory controller, you need to add it to the parent cgroup of ${ROOT_CGROUP}." + echo "See: https://docs.kernel.org/admin-guide/cgroup-v2.html#enabling-and-disabling." + exit 1 +fi + + +TEST_FIXTURE_SCRIPT=src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_fixture.sh +BASE_CGROUP="$(mktemp -d -p "${ROOT_CGROUP}" testing.XXXXX)" +TEST_CGROUP=${BASE_CGROUP}/test +LEAF_CGROUP=${BASE_CGROUP}/leaf +UNPRIV_USER=cgroup-tester + +trap 'echo "ERROR on line ${LINENO}"; cleanup' ERR INT TERM + +cleanup() { + echo "Running teardown because of an error." + "${TEST_FIXTURE_SCRIPT}" teardown "${ROOT_CGROUP}" "${BASE_CGROUP}" "${UNPRIV_USER}" +} + +# The integration tests assume that the ROOT_CGROUP exists and has read and write access. +# +# This test suite will create the following cgroup hierarchy for the tests +# starting with BASE_CGROUP. +# +# ROOT_CGROUP +# | +# BASE_CGROUP +# / \ +# TEST_CGROUP LEAF_CGROUP +# +# NOTE: The test suite does not assume that ROOT_CGROUP is an actual ROOT_CGROUP. Therefore, +# 1. setup will migrate all processes from the ROOT_CGROUP -> LEAF_CGROUP +# 2. teardown will migrate all processes from the LEAF_CGROUP -> ROOT_CGROUP +# +# NOTE: BASE_CGROUP will have a randomly generated name to isolate tests from each other. +# +# The test suite assumes that +# 1. cpu, memory controllers are available on ROOT_CGROUP i.e. in the ROOT_CGROUP/cgroup.controllers file. +# 2. All processes inside the base_cgroup can be migrated into the leaf_cgroup to avoid not violating +# the no internal processes contstraint. +# +# All C++ tests should only have access to the TEST_CGROUP and nothing outside of it. +# The C++ tests will be executed as a non-root user. Setup/teardown will need root permissions. +echo "ROOT_CGROUP is ${ROOT_CGROUP}." +echo "BASE_CGROUP for the test suite is ${BASE_CGROUP}." +echo "TEST_CGROUP for the test suite is ${TEST_CGROUP}." +echo "LEAF_CGROUP for the test suite is ${LEAF_CGROUP}." + +"${TEST_FIXTURE_SCRIPT}" setup "${ROOT_CGROUP}" "${BASE_CGROUP}" "${UNPRIV_USER}" + +sudo -u "${UNPRIV_USER}" CGROUP_PATH="${TEST_CGROUP}" \ + "${BAZEL}" run //src/ray/common/cgroup2/integration_tests:sysfs_cgroup_driver_integration_test + +"${TEST_FIXTURE_SCRIPT}" teardown "${ROOT_CGROUP}" "${BASE_CGROUP}" "${UNPRIV_USER}" diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_fixture.sh b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_fixture.sh new file mode 100755 index 000000000000..b2f65ef36b0a --- /dev/null +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_fixture.sh @@ -0,0 +1,168 @@ +#!/usr/bin/env bash +set -euo pipefail + +usage() { + echo "Usage: $0 " + echo " ACTION - One of {setup, teardown}." + echo " ROOT_CGROUP - The root cgroup path. Assumes the cgroup already exists." + echo " BASE_CGROUP - The base cgroup path. Assumes the cgroup already exists." + echo " UNPRIV_USER - The name of the unprivileged user. Will create if doesn't exist." + exit 1 +} + +ACTION=${1:-} +ROOT_CGROUP=${2:-} +BASE_CGROUP=${3:-} +UNPRIV_USER=${4:-} + +validate_args() { + if [[ -z "$ACTION" || -z "$ROOT_CGROUP" || -z "$BASE_CGROUP" || -z "$UNPRIV_USER" ]]; then + echo "ERROR: Missing arguments." + usage + fi +} + +# Helper function to move all processes from the src cgroup +# into the dest cgroup. +move_all_processes() { + # Errexit is disabled because pids can be transient i.e. + # you can fail to move a pid that existed when you read the file + # but exited by the time you tried to move it. + set +e + local src="$1" dst="$2" + local count=0 + while IFS= read -r pid + do + if echo "${pid}" > "${dst}" 2>/dev/null; then + ((count++)) + fi + done < <(grep -v '^ *#' "${src}") + echo "Moved ${count} procs from ${src} to ${dst}." + set -e +} + +update_controllers() { + local CONTROLLER_FILE=$1 + local UPDATE=$2 + if echo "${UPDATE}" > "${CONTROLLER_FILE}"; then + echo "Updated ${UPDATE} controllers for ${CONTROLLER_FILE}" + else + echo "ERROR: Failed to update controllers ${UPDATE} for ${CONTROLLER_FILE}" >&2 + exit 1 + fi + +} + +# Setup involves the following steps: +# +# 1. Create the LEAF_CGROUP and TEST_CGROUP. +# 2. Move all processes from the ROOT_CGROUP into the LEAF_CGROUP. +# 3. Enable cpu, memory controllers on the ROOT, BASE, and TEST cgroups. +# 4. Create the UNPRIV_USER to run the tests as a non-root user. +# 5. Make UNPRIV_USER owner of the cgroup subtree starting at BASE_CGROUP. +# +# NOTE: The tests need to be run as a separate user because access control +# checks will always pass for the root user so they cannot be tested properly +# without creating an unprivileged user. +setup() { + +mkdir -p "${LEAF_CGROUP}" +mkdir -p "${TEST_CGROUP}" + +echo "Created LEAF_CGROUP at ${LEAF_CGROUP}." +echo "Created TEST_CGROUP at ${TEST_CGROUP}." + +move_all_processes "${ROOT_CGROUP_PROCS}" "${LEAF_CGROUP_PROCS}" + +if [[ -s "${ROOT_CGROUP_PROCS}" ]]; then + echo "ERROR: Failed to move all processes out of ${ROOT_CGROUP_PROCS}." + echo " Expected cgroup.procs to be empty, but it's not:" + cat "${ROOT_CGROUP_PROCS}" + exit 1 +fi + +update_controllers "${ROOT_CGROUP}/cgroup.subtree_control" "+cpu +memory" +update_controllers "${BASE_CGROUP}/cgroup.subtree_control" "+cpu +memory" +update_controllers "${TEST_CGROUP}/cgroup.subtree_control" "+cpu +memory" + +if ! id -u "${UNPRIV_USER}" >/dev/null 2>&1; then + sudo useradd -m -s /usr/sbin/nologin "${UNPRIV_USER}" + echo "Created unprivilged user ${UNPRIV_USER}." +fi + +sudo chown -R "${UNPRIV_USER}":"${UNPRIV_USER}" "${BASE_CGROUP}" +sudo chmod -R u+rwx "${BASE_CGROUP}" +echo "${UNPRIV_USER} is the owner the cgroup subtree starting at ${BASE_CGROUP}" + +} + +# Cleanup is the reverse of setup +# 1) Delete the user we created. +# 2) Disable controllers throughout heirarchy. +# 3) Migrate all processes back into the ROOT_CGROUP. +# 4) Recursively delete all created subcgroups. +# +# This is best effort. There can be leaks. The recommended thing +# to do is to run these tests inside a container. +# Setup involves the following steps: +# +# 1. Delete the UNPRIV_USER. +# 2. Disable cpu, memory controllers on the ROOT, BASE, and TEST cgroups. +# 3. Move all processes from the LEAF_CGROUP into the ROOT_CGROUP. +# 4. Delete the TEST, LEAF, and BASE cgroups in that order. +# +# NOTE: This assumes that all C++ tests will clean up their own cgroups. +# If they do not, teardown will fail. +teardown() { + +# Delete the user we created +if id -u "${UNPRIV_USER}" >/dev/null 2>&1; then + pkill -KILL -u "${UNPRIV_USER}" 2>/dev/null || true + deluser -f "${UNPRIV_USER}" --remove-home 2>/dev/null || true + echo "Deleted unprivilged user ${UNPRIV_USER}." +fi + +update_controllers "${TEST_CGROUP}/cgroup.subtree_control" "-cpu -memory" +update_controllers "${BASE_CGROUP}/cgroup.subtree_control" "-cpu -memory" +update_controllers "${ROOT_CGROUP}/cgroup.subtree_control" "-cpu -memory" + +move_all_processes "${LEAF_CGROUP_PROCS}" "${ROOT_CGROUP_PROCS}" + +rmdir "${TEST_CGROUP}" +echo "Deleted ${TEST_CGROUP}" +rmdir "${LEAF_CGROUP}" +echo "Deleted ${LEAF_CGROUP}" +rmdir "${BASE_CGROUP}" +echo "Deleted ${BASE_CGROUP}" + +echo "Teardown successful." + +} + +validate_args + +LEAF_CGROUP="${BASE_CGROUP}/leaf" +TEST_CGROUP="${BASE_CGROUP}/test" +ROOT_CGROUP_PROCS="${ROOT_CGROUP}/cgroup.procs" +LEAF_CGROUP_PROCS="${LEAF_CGROUP}/cgroup.procs" + +echo "Starting integration test fixture with:" +echo " ACTION=${ACTION}" +echo " ROOT_CGROUP=${ROOT_CGROUP}" +echo " BASE_CGROUP=${BASE_CGROUP}" +echo " TEST_CGROUP=${TEST_CGROUP}" +echo " UNPRIV_USER=${UNPRIV_USER}" + +SETUP_ACTION=setup +TEARDOWN_ACTION=teardown + +if [[ "${ACTION}" == "${SETUP_ACTION}" ]]; then + echo "Running ACTION: ${SETUP_ACTION}" + setup +elif [[ "${ACTION}" == "${TEARDOWN_ACTION}" ]]; then + echo "Running ACTION: ${TEARDOWN_ACTION}" + teardown +else + echo "[ERROR]: Unknown action ${ACTION}." + usage +fi diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index fc564dfb7fd9..88a41d74af8a 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -56,8 +56,8 @@ Status SysFsCgroupDriver::CheckCgroupv2Enabled() { struct mntent *mnt; while ((mnt = getmntent(fp)) != nullptr) { - found_cgroupv1 = found_cgroupv1 || strcmp(mnt->mnt_fsname, "cgroup") == 0; - found_cgroupv2 = found_cgroupv2 || strcmp(mnt->mnt_fsname, "cgroup2") == 0; + found_cgroupv1 = found_cgroupv1 || strcmp(mnt->mnt_type, "cgroup") == 0; + found_cgroupv2 = found_cgroupv2 || strcmp(mnt->mnt_type, "cgroup2") == 0; } // After parsing the mount file, the file should be at the EOF position. diff --git a/src/ray/common/cgroup2/tests/BUILD.bazel b/src/ray/common/cgroup2/tests/BUILD.bazel index c31181a7ec2d..e9d165d5d49c 100644 --- a/src/ray/common/cgroup2/tests/BUILD.bazel +++ b/src/ray/common/cgroup2/tests/BUILD.bazel @@ -1,30 +1,19 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") - -ray_cc_library( - name = "cgroup_test_utils", - srcs = ["cgroup_test_utils.cc"], - hdrs = ["cgroup_test_utils.h"], - tags = [ - "no_windows", - ], - deps = [ - "//src/ray/common:status", - "//src/ray/common:status_or", - "@com_google_absl//absl/strings:str_format", - ], -) +load("//bazel:ray.bzl", "ray_cc_test") ray_cc_test( name = "sysfs_cgroup_driver_test", srcs = ["sysfs_cgroup_driver_test.cc"], tags = [ - "no_windows", + "cgroup", "team:core", ], + target_compatible_with = [ + "@platforms//os:linux", + ], deps = [ - ":cgroup_test_utils", "//src/ray/common:status", "//src/ray/common:status_or", + "//src/ray/common/cgroup2:cgroup_test_utils", "//src/ray/common/cgroup2:sysfs_cgroup_driver", "//src/ray/common/tests:testing", "@com_google_absl//absl/strings:str_format", diff --git a/src/ray/common/cgroup2/tests/cgroup_test_utils.cc b/src/ray/common/cgroup2/tests/cgroup_test_utils.cc deleted file mode 100644 index c31109dddb54..000000000000 --- a/src/ray/common/cgroup2/tests/cgroup_test_utils.cc +++ /dev/null @@ -1,107 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup2/tests/cgroup_test_utils.h" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include "absl/strings/str_format.h" -#include "ray/common/status.h" -#include "ray/common/status_or.h" -#include "ray/util/logging.h" - -ray::StatusOr> TempDirectory::Create() { - std::string path = "/tmp/XXXXXX"; - char *ret = mkdtemp(path.data()); - if (ret == nullptr) { - return ray::Status::UnknownError( - absl::StrFormat("Failed to create a temp directory. " - "Cgroup tests expect tmpfs to be mounted and only run on Linux.\n" - "Error: %s", - strerror(errno))); - } - std::unique_ptr temp_dir = - std::make_unique(std::move(path)); - return ray::StatusOr>(std::move(temp_dir)); -} - -TempDirectory::~TempDirectory() { std::filesystem::remove_all(path_); } - -TempFile::TempFile(std::string path) { - path_ = path; - fd_ = open(path_.c_str(), O_RDWR | O_CREAT, S_IRUSR | S_IWUSR); // NOLINT - if (fd_ == -1) { - throw std::runtime_error( - absl::StrFormat("Failed to create a temp file. Cgroup tests expect " - "tmpfs to be mounted " - "and only run on Linux. Error: %s", - strerror(errno))); - } - file_output_stream_ = std::ofstream(path_, std::ios::trunc); - if (!file_output_stream_.is_open()) { - throw std::runtime_error("Could not open file on tmpfs."); - } -} - -TempFile::TempFile() { - fd_ = mkstemp(path_.data()); // NOLINT - if (fd_ == -1) { - throw std::runtime_error( - "Failed to create a temp file. Cgroup tests expect tmpfs to be " - "mounted " - "and only run on Linux"); - } - if (unlink(path_.c_str()) == -1) { - close(fd_); - throw std::runtime_error("Failed to unlink temporary file."); - } - file_output_stream_ = std::ofstream(path_, std::ios::trunc); - if (!file_output_stream_.is_open()) { - throw std::runtime_error("Could not open mount file on tmpfs."); - } -} - -TempFile::~TempFile() { - close(fd_); - file_output_stream_.close(); -} - -void TempFile::AppendLine(const std::string &line) { - file_output_stream_ << line; - file_output_stream_.flush(); - if (file_output_stream_.fail()) { - throw std::runtime_error("Could not write to mount file on tmpfs"); - } -} diff --git a/src/ray/common/cgroup2/tests/cgroup_test_utils.h b/src/ray/common/cgroup2/tests/cgroup_test_utils.h deleted file mode 100644 index f1622d413573..000000000000 --- a/src/ray/common/cgroup2/tests/cgroup_test_utils.h +++ /dev/null @@ -1,71 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. -#pragma once - -#include - -#include -#include -#include -#include - -#include "ray/common/status.h" -#include "ray/common/status_or.h" - -/** - RAII style class for creating and destroying temporary directory for testing. - TODO(irabbani): add full documentation once complete. - */ -class TempDirectory { - public: - static ray::StatusOr> Create(); - explicit TempDirectory(std::string &&path) : path_(path) {} - - TempDirectory(const TempDirectory &) = delete; - TempDirectory(TempDirectory &&) = delete; - TempDirectory &operator=(const TempDirectory &) = delete; - TempDirectory &operator=(TempDirectory &&) = delete; - - const std::string &GetPath() const { return path_; } - - ~TempDirectory(); - - private: - const std::string path_; -}; - -/** - RAII wrapper that creates a file that can be written to. - TODO(irabbani): Add full documentation once the API is complete. -*/ -class TempFile { - public: - explicit TempFile(std::string path); - TempFile(); - - TempFile(TempFile &other) = delete; - TempFile(TempFile &&other) = delete; - TempFile operator=(TempFile &other) = delete; - TempFile &operator=(TempFile &&other) = delete; - - ~TempFile(); - void AppendLine(const std::string &line); - - const std::string &GetPath() const { return path_; } - - private: - std::string path_ = "/tmp/XXXXXX"; - std::ofstream file_output_stream_; - int fd_; -}; diff --git a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc index a349be577616..a381c81f97de 100644 --- a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc +++ b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc @@ -20,7 +20,7 @@ #include #include "gtest/gtest.h" -#include "ray/common/cgroup2/tests/cgroup_test_utils.h" +#include "ray/common/cgroup2/cgroup_test_utils.h" #include "ray/common/status.h" #include "ray/common/status_or.h" @@ -64,7 +64,7 @@ TEST(SysFsCgroupDriverTest, TEST(SysFsCgroupDriverTest, CheckCgroupv2EnabledSucceedsIfOnlyCgroupv2Mounted) { TempFile temp_mount_file; - temp_mount_file.AppendLine("cgroup2 /sys/fs/cgroup rw 0 0\n"); + temp_mount_file.AppendLine("cgroup2 /sys/fs/cgroup cgroup2 rw 0 0\n"); SysFsCgroupDriver driver(temp_mount_file.GetPath()); Status s = driver.CheckCgroupv2Enabled(); EXPECT_TRUE(s.ok()) << s.ToString(); From 810fffcf68586dc31312571e7e63d66c852deb5a Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Thu, 4 Sep 2025 15:06:44 +0800 Subject: [PATCH 1030/1566] [Dashboard] Fix typo in memory_utils and adjust display formatting for clarity (#56217) Signed-off-by: daiping8 Signed-off-by: Douglas Strodtman --- python/ray/dashboard/memory_utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/dashboard/memory_utils.py b/python/ray/dashboard/memory_utils.py index ef2d51a1de1c..e81532f5af9e 100644 --- a/python/ray/dashboard/memory_utils.py +++ b/python/ray/dashboard/memory_utils.py @@ -430,7 +430,7 @@ def memory_summary( "Type", "Call Site", "Status", - "Attampt", + "Attempt", "Size", "Reference Type", "Object Ref", @@ -444,7 +444,7 @@ def memory_summary( mem += f"Grouping by {group_by}...\ Sorting by {sort_by}...\ - Display {num_entries if num_entries is not None else 'all'}\ + Display {num_entries if num_entries is not None else 'all'} \ entries per group...\n\n\n" for key, group in memory_table["group"].items(): From ebe122a548dd46d1996181e132b846a15b88aa1c Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 4 Sep 2025 02:55:06 -0700 Subject: [PATCH 1031/1566] [data][train] Create a deepcopy of the data context on the split coordinator process (#56211) The main change of this PR is to create a deepcopy of the base dataset's context before setting the process-global context. Otherwise, mutations to the base dataset's context during the planning phase are also propagated to the global context, which can affect future dataset executions launched from the same process. Misc. drive-by changes: * Utility to create a `StorageContext` from the `RunConfig` directly * Pipe the `DatasetShardMetadata` from the outermost level among other changes, for easier patching --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../iterator/stream_split_iterator.py | 6 ++++- python/ray/data/iterator.py | 7 +++++- .../train/v2/_internal/callbacks/datasets.py | 15 +++++-------- .../execution/controller/controller.py | 7 +----- .../v2/_internal/execution/train_fn_utils.py | 21 ++++++------------ .../execution/worker_group/worker_group.py | 7 +----- python/ray/train/v2/api/config.py | 10 +++++++++ .../ray/train/v2/api/data_parallel_trainer.py | 6 ++--- python/ray/train/v2/api/train_fn_utils.py | 5 ++++- .../train/v2/tests/test_data_integration.py | 22 ++++++++++--------- 10 files changed, 53 insertions(+), 53 deletions(-) diff --git a/python/ray/data/_internal/iterator/stream_split_iterator.py b/python/ray/data/_internal/iterator/stream_split_iterator.py index ab804886a49f..93f041994872 100644 --- a/python/ray/data/_internal/iterator/stream_split_iterator.py +++ b/python/ray/data/_internal/iterator/stream_split_iterator.py @@ -139,9 +139,13 @@ def __init__( locality_hints: Optional[List[NodeIdStr]], ): dataset = dataset_wrapper._dataset + # Set current DataContext. - self._data_context = dataset.context + # This needs to be a deep copy so that updates to the base dataset's + # context does not affect this process's global DataContext. + self._data_context = dataset.context.copy() ray.data.DataContext._set_current(self._data_context) + if self._data_context.execution_options.locality_with_output is True: self._data_context.execution_options.locality_with_output = locality_hints logger.info(f"Auto configuring locality_with_output={locality_hints}") diff --git a/python/ray/data/iterator.py b/python/ray/data/iterator.py index 70144586a80b..7ed94eef077e 100644 --- a/python/ray/data/iterator.py +++ b/python/ray/data/iterator.py @@ -158,6 +158,11 @@ def iter_batches( local_shuffle_seed=local_shuffle_seed, ) + def _create_batch_iterator( + self, ref_bundles_iter: Iterator[RefBundle], **kwargs + ) -> BatchIterator: + return BatchIterator(ref_bundles_iter, **kwargs) + def _iter_batches( self, *, @@ -186,7 +191,7 @@ def _create_iterator() -> Iterator[DataBatch]: dataset_tag = self._get_dataset_tag() - batch_iterator = BatchIterator( + batch_iterator = self._create_batch_iterator( ref_bundles_iterator, stats=stats, dataset_tag=dataset_tag, diff --git a/python/ray/train/v2/_internal/callbacks/datasets.py b/python/ray/train/v2/_internal/callbacks/datasets.py index 9a6ce9d76cab..908411cab443 100644 --- a/python/ray/train/v2/_internal/callbacks/datasets.py +++ b/python/ray/train/v2/_internal/callbacks/datasets.py @@ -7,9 +7,9 @@ from ray.train.v2._internal.data_integration.interfaces import ( DatasetShardMetadata, DatasetShardProvider, - GenDataset, ) from ray.train.v2._internal.execution.callback import WorkerGroupCallback +from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.worker_group.worker_group import ( Worker, WorkerGroup, @@ -37,15 +37,10 @@ def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: class DatasetsSetupCallback(WorkerGroupCallback): """The callback to setup Ray Datasets for the worker group.""" - def __init__( - self, - datasets: Dict[str, GenDataset], - data_config: ray.train.DataConfig, - scaling_config: ray.train.ScalingConfig, - ): - self._datasets = datasets - self._data_config = data_config - self._scaling_config = scaling_config + def __init__(self, train_run_context: TrainRunContext): + self._datasets = train_run_context.datasets + self._data_config = copy.deepcopy(train_run_context.dataset_config) + self._scaling_config = train_run_context.scaling_config # Capture the current DataContext to propagate it to # the Train workers later. diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 224d8b906362..53074db40858 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -50,7 +50,6 @@ ResizeDecision, ScalingPolicy, ) -from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.execution.worker_group import ( WorkerGroup, WorkerGroupPollStatus, @@ -126,11 +125,7 @@ def __init__( self._failure_policy = failure_policy self._run_config = self._train_run_context.run_config self._callbacks = callbacks or [] - self._storage_context = StorageContext( - storage_path=self._run_config.storage_path, - experiment_dir_name=self._run_config.name, - storage_filesystem=self._run_config.storage_filesystem, - ) + self._storage_context = self._train_run_context.run_config.storage_context self._checkpoint_manager = CheckpointManager( checkpoint_config=self._run_config.checkpoint_config, diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index a5caad707c15..b05f7dae0631 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -4,6 +4,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional from ray.data import DataIterator +from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata from ray.train.v2._internal.execution import collective_impl from ray.train.v2._internal.execution.context import ( get_train_context as get_internal_train_context, @@ -68,14 +69,11 @@ def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: pass @abstractmethod - def get_dataset_shard(self, dataset_name: str) -> DataIterator: + def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: """Get the dataset shard for this training process. - This method is used by the public API function :func:`ray.train.get_dataset_shard`. - Users should typically call ``ray.train.get_dataset_shard()`` instead of calling this method directly. - Args: - dataset_name: The name of the dataset to get the shard for. + dataset_info: The metadata of the dataset to get the shard for. Returns: The DataIterator shard for this worker. @@ -131,14 +129,8 @@ def report( def get_checkpoint(self): return get_internal_train_context().get_checkpoint() - def get_dataset_shard(self, dataset_name: str) -> DataIterator: - from ray.train.v2._internal.data_integration.interfaces import ( - DatasetShardMetadata, - ) - - return get_internal_train_context().get_dataset_shard( - DatasetShardMetadata(dataset_name=dataset_name) - ) + def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: + return get_internal_train_context().get_dataset_shard(dataset_info) def get_context(self) -> DistributedTrainContext: return DistributedTrainContext() @@ -182,7 +174,8 @@ def report( def get_checkpoint(self) -> Optional["Checkpoint"]: return self._last_checkpoint - def get_dataset_shard(self, dataset_name: str) -> DataIterator: + def get_dataset_shard(self, dataset_info: DatasetShardMetadata) -> DataIterator: + dataset_name = dataset_info.dataset_name assert ( self._dataset_shards is not None and dataset_name in self._dataset_shards ), f"Dataset shard {dataset_name} not found." diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index d48772c4e30d..b103bceac1b7 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -37,7 +37,6 @@ from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor from ray.train.v2._internal.execution.context import ( DistributedContext, - StorageContext, TrainRunContext, ) from ray.train.v2._internal.execution.worker_group.poll import ( @@ -145,11 +144,7 @@ def __init__( """ self._train_run_context = train_run_context run_config = self._train_run_context.run_config - self._storage_context = StorageContext( - storage_path=run_config.storage_path, - experiment_dir_name=run_config.name, - storage_filesystem=run_config.storage_filesystem, - ) + self._storage_context = run_config.storage_context self._worker_group_context: WorkerGroupContext = worker_group_context diff --git a/python/ray/train/v2/api/config.py b/python/ray/train/v2/api/config.py index 7935c3ba6dcb..a640143d6efe 100644 --- a/python/ray/train/v2/api/config.py +++ b/python/ray/train/v2/api/config.py @@ -1,5 +1,6 @@ import logging from dataclasses import dataclass +from functools import cached_property from pathlib import Path from typing import TYPE_CHECKING, List, Optional, Union @@ -12,6 +13,7 @@ ) from ray.runtime_env import RuntimeEnv from ray.train.v2._internal.constants import _DEPRECATED +from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.migration_utils import ( FAIL_FAST_DEPRECATION_MESSAGE, TRAINER_RESOURCES_DEPRECATION_MESSAGE, @@ -261,3 +263,11 @@ def __post_init__(self): "See this issue for more context: " "https://github.com/ray-project/ray/issues/49454" ) + + @cached_property + def storage_context(self) -> StorageContext: + return StorageContext( + storage_path=self.storage_path, + experiment_dir_name=self.name, + storage_filesystem=self.storage_filesystem, + ) diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 079e6bfe3038..b9f607f3422b 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -30,7 +30,6 @@ TPUReservationCallback, WorkingDirectorySetupCallback, ) -from ray.train.v2._internal.callbacks.datasets import GenDataset from ray.train.v2._internal.callbacks.env_callback import _initialize_env_callbacks from ray.train.v2._internal.callbacks.metrics import ( ControllerMetricsCallback, @@ -42,6 +41,7 @@ METRICS_ENABLED_ENV_VAR, get_env_vars_to_propagate, ) +from ray.train.v2._internal.data_integration.interfaces import GenDataset from ray.train.v2._internal.execution.callback import RayTrainCallback from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.controller import TrainController @@ -164,9 +164,7 @@ def _create_default_callbacks(self) -> List[RayTrainCallback]: ) backend_setup_callback = BackendSetupCallback(self.backend_config) datasets_setup_callback = DatasetsSetupCallback( - datasets=self.datasets, - data_config=self.data_config, - scaling_config=self.scaling_config, + train_run_context=self.train_run_context ) tpu_reservation_setup_callback = TPUReservationCallback() callbacks.extend( diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index 740206e190e2..639867e29257 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -1,5 +1,6 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional +from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.context import TrainContext from ray.util.annotations import PublicAPI @@ -241,4 +242,6 @@ def train_loop_per_worker(config): The ``DataIterator`` shard to use for this worker. If no dataset is passed into Trainer, then return None. """ - return get_train_fn_utils().get_dataset_shard(dataset_name) + return get_train_fn_utils().get_dataset_shard( + DatasetShardMetadata(dataset_name=dataset_name) + ) diff --git a/python/ray/train/v2/tests/test_data_integration.py b/python/ray/train/v2/tests/test_data_integration.py index bf7b0f4e694b..a542520f0001 100644 --- a/python/ray/train/v2/tests/test_data_integration.py +++ b/python/ray/train/v2/tests/test_data_integration.py @@ -1,5 +1,3 @@ -from unittest.mock import MagicMock - import pytest import ray.data @@ -9,12 +7,15 @@ from ray.data.tests.conftest import restore_data_context # noqa: F401 from ray.train.v2._internal.callbacks.datasets import DatasetsSetupCallback from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata -from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.worker_group.worker_group import ( WorkerGroupContext, ) from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer -from ray.train.v2.tests.util import DummyObjectRefWrapper, DummyWorkerGroup +from ray.train.v2.tests.util import ( + DummyObjectRefWrapper, + DummyWorkerGroup, + create_dummy_run_context, +) # TODO(justinvyu): Bring over more tests from ray/air/tests/test_new_dataset_config.py @@ -77,17 +78,18 @@ def test_dataset_setup_callback(ray_start_4_cpus): num_workers=scaling_config.num_workers, resources_per_worker=scaling_config.resources_per_worker, ) + train_run_context = create_dummy_run_context( + datasets={"train": train_ds, "valid": valid_ds}, + dataset_config=data_config, + scaling_config=scaling_config, + ) worker_group = DummyWorkerGroup( - train_run_context=MagicMock(spec=TrainRunContext), + train_run_context=train_run_context, worker_group_context=worker_group_context, ) worker_group._start() - callback = DatasetsSetupCallback( - datasets={"train": train_ds, "valid": valid_ds}, - data_config=data_config, - scaling_config=scaling_config, - ) + callback = DatasetsSetupCallback(train_run_context) dataset_manager_for_each_worker = callback.before_init_train_context( worker_group.get_workers() )["dataset_shard_provider"] From 55eb2e0899e30ed08bc1550ad731fdc1f6e5b685 Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Thu, 4 Sep 2025 19:18:04 +0200 Subject: [PATCH 1032/1566] [doc] fix: Typo and missing import in doc (#48311) ## Why are these changes needed? I realized that the code samples of [`RLModule`](https://docs.ray.io/en/latest/rllib/package_ref/doc/ray.rllib.core.rl_module.rl_module.RLModule.html#ray.rllib.core.rl_module.rl_module.RLModule) were incomplete and missed some imports. Another code sample lacked a comma for correct syntax. ## Related issue number NA/ ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Daraan Signed-off-by: Daniel Signed-off-by: Douglas Strodtman --- doc/source/rllib/rl-modules.rst | 2 +- rllib/core/rl_module/rl_module.py | 14 ++++++++++++++ 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/doc/source/rllib/rl-modules.rst b/doc/source/rllib/rl-modules.rst index c8e27ee7c21f..32efc840f599 100644 --- a/doc/source/rllib/rl-modules.rst +++ b/doc/source/rllib/rl-modules.rst @@ -569,7 +569,7 @@ If you don't return the ``actions`` key from your forward method: def _forward_exploration(self, batch): ... return { - Columns.ACTIONS: ... # RLlib uses these actions as-is (no sampling step!) + Columns.ACTIONS: ..., # RLlib uses these actions as-is (no sampling step!) Columns.ACTION_DIST_INPUTS: ... # If provided, RLlib uses these dist inputs to compute probs and logp. } diff --git a/rllib/core/rl_module/rl_module.py b/rllib/core/rl_module/rl_module.py index 644ecae02a46..247fa0b79160 100644 --- a/rllib/core/rl_module/rl_module.py +++ b/rllib/core/rl_module/rl_module.py @@ -269,6 +269,8 @@ class RLModule(Checkpointable, abc.ABC): DefaultPPOTorchRLModule ) from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog + from ray.rllib.core.rl_module.rl_module import RLModuleSpec + from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig import gymnasium as gym import torch @@ -300,6 +302,12 @@ class RLModule(Checkpointable, abc.ABC): .. testcode:: + from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import ( + PPOTorchRLModule + ) + from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog + from ray.rllib.core.rl_module.rl_module import RLModuleSpec + from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig import gymnasium as gym import torch @@ -327,6 +335,12 @@ class RLModule(Checkpointable, abc.ABC): .. testcode:: + from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import ( + PPOTorchRLModule + ) + from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog + from ray.rllib.core.rl_module.rl_module import RLModuleSpec + from ray.rllib.core.rl_module.default_model_config import DefaultModelConfig import gymnasium as gym import torch From 154be0775c504ec0f8a118ce4ffbbbd8a508e965 Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Thu, 4 Sep 2025 19:22:09 +0200 Subject: [PATCH 1033/1566] [test] fix test not ending cluster; spelling mistake: tearDow -> tearDown (#54171) ## Why are these changes needed? One of the tests had a spelling mistake `tearDowClass` instead of `tearDownClass` not calling `ray.shudown()` ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests Signed-off-by: Daraan Signed-off-by: Douglas Strodtman --- .../tests/test_algorithm_save_load_checkpoint_learner.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_learner.py b/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_learner.py index 5cb37f805e35..78840a3fe4be 100644 --- a/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_learner.py +++ b/rllib/algorithms/tests/test_algorithm_save_load_checkpoint_learner.py @@ -95,7 +95,7 @@ def setUpClass(cls) -> None: ray.init() @classmethod - def tearDowClass(cls) -> None: + def tearDownClass(cls) -> None: ray.shutdown() def test_save_and_restore(self): From b33bab80250d7bec62ad43092bfd9c641f48ec2e Mon Sep 17 00:00:00 2001 From: Jack Gammack <49536617+JackGammack@users.noreply.github.com> Date: Thu, 4 Sep 2025 13:24:53 -0400 Subject: [PATCH 1034/1566] [data] Fix high memory usage with FileBasedDatasource & ParquetDatasource when using a large number of files (#55978) ## Why are these changes needed? Using `FileBasedDatasource` or `ParquetDatasource` with a very large number of files causes OOM when creating read tasks. The full list of file paths is stored in `self`, causing it to persist to every read task, leading to this warning: ``` The serialized size of your read function named 'read_task_fn' is 49.8MB. This size relatively large. As a result, Ray might excessively spill objects during execution. To fix this issue, avoid accessing `self` or other large objects in 'read_task_fn'. ``` When using a small number of blocks, OOM does not occur because the large file list is not repeated so many times. But when setting high parallelism with `override_num_blocks`, OOM occurs. This is because the full list of paths is added to `self._unresolved_paths`. This attribute isn't currently used anywhere in ray. This PR removes `self._unresolved_paths` to alleviate unexpected high memory usage with very large numbers of files. ## Related issue number Similar to this issue with Iceberg: #49054 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Jack Gammack Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/datasource/parquet_datasource.py | 1 - python/ray/data/_internal/planner/plan_read_op.py | 2 +- python/ray/data/datasource/file_based_datasource.py | 1 - python/ray/data/tests/test_streaming_executor.py | 1 - 4 files changed, 1 insertion(+), 4 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 9589036aefd4..e893365a7e71 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -206,7 +206,6 @@ def __init__( ray.get_runtime_context().get_node_id(), soft=False ) - self._unresolved_paths = paths paths, self._filesystem = _resolve_paths_and_filesystem(paths, filesystem) filesystem = RetryingPyFileSystem.wrap( self._filesystem, diff --git a/python/ray/data/_internal/planner/plan_read_op.py b/python/ray/data/_internal/planner/plan_read_op.py index 360dce30cea8..34bb16e49f67 100644 --- a/python/ray/data/_internal/planner/plan_read_op.py +++ b/python/ray/data/_internal/planner/plan_read_op.py @@ -42,7 +42,7 @@ def _derive_metadata(read_task: ReadTask, read_task_ref: ObjectRef) -> BlockMeta warnings.warn( "The serialized size of your read function named " f"'{read_task.read_fn.__name__}' is {memory_string(task_size)}. This size " - "relatively large. As a result, Ray might excessively " + "is relatively large. As a result, Ray might excessively " "spill objects during execution. To fix this issue, avoid accessing " f"`self` or other large objects in '{read_task.read_fn.__name__}'." ) diff --git a/python/ray/data/datasource/file_based_datasource.py b/python/ray/data/datasource/file_based_datasource.py index 8e66d5f185ca..d65fe8d98293 100644 --- a/python/ray/data/datasource/file_based_datasource.py +++ b/python/ray/data/datasource/file_based_datasource.py @@ -140,7 +140,6 @@ def __init__( self._partitioning = partitioning self._ignore_missing_paths = ignore_missing_paths self._include_paths = include_paths - self._unresolved_paths = paths paths, self._filesystem = _resolve_paths_and_filesystem(paths, filesystem) self._filesystem = RetryingPyFileSystem.wrap( self._filesystem, retryable_errors=self._data_context.retried_io_errors diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index a8989c2bd409..4bb996a280cf 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -798,7 +798,6 @@ def udf(row): assert isinstance(logical_ops[0], Read) datasource = logical_ops[0]._datasource assert isinstance(datasource, ParquetDatasource) - assert datasource._unresolved_paths == input_path assert isinstance(logical_ops[1], MapRows) assert logical_ops[1]._fn == udf From b504df204c5b035e0e5e1b7539f8885f82e6374e Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Thu, 4 Sep 2025 10:35:15 -0700 Subject: [PATCH 1035/1566] [docs] Example serve llm deployment (#55819) Signed-off-by: Douglas Strodtman --- .../config/vocabularies/General/accept.txt | 10 +- doc/BUILD.bazel | 6 + doc/source/conf.py | 2 + doc/source/serve/examples.yml | 48 ++ doc/source/serve/tutorials/BUILD.bazel | 5 - .../deployment-serve-llm/README.ipynb | 58 +++ .../tutorials/deployment-serve-llm/README.md | 41 ++ .../deployment-serve-llm/ci/aws.yaml | 14 + .../deployment-serve-llm/ci/build.sh | 3 + .../deployment-serve-llm/ci/gce.yaml | 14 + .../deployment-serve-llm/ci/nb2py.py | 85 ++++ .../deployment-serve-llm/ci/tests.sh | 20 + .../deployment-serve-llm/configs/aws.yaml | 7 + .../deployment-serve-llm/configs/gce.yaml | 7 + .../hybrid-reasoning-llm/README.md | 369 ++++++++++++++ .../hybrid-reasoning-llm/client_streaming.py | 34 ++ .../client_thinking_disabled.py | 18 + .../client_thinking_enabled.py | 18 + .../hybrid-reasoning-llm/notebook.ipynb | 470 ++++++++++++++++++ .../hybrid-reasoning-llm/serve_qwen_3_32b.py | 23 + .../large-size-llm/Dockerfile | 8 + .../large-size-llm/README.md | 358 +++++++++++++ .../large-size-llm/client.py | 27 + .../large-size-llm/notebook.ipynb | 450 +++++++++++++++++ .../large-size-llm/serve_deepseek_r1.py | 27 + .../large-size-llm/service.yaml | 29 ++ .../medium-size-llm/Dockerfile | 8 + .../medium-size-llm/README.md | 315 ++++++++++++ .../medium-size-llm/client.py | 19 + .../medium-size-llm/notebook.ipynb | 407 +++++++++++++++ .../medium-size-llm/serve_llama_3_1_70b.py | 29 ++ .../medium-size-llm/service.yaml | 10 + .../reasoning-llm/README.md | 269 ++++++++++ .../reasoning-llm/client.py | 21 + .../reasoning-llm/client_streaming.py | 33 ++ .../reasoning-llm/notebook.ipynb | 348 +++++++++++++ .../reasoning-llm/serve_qwq_32b.py | 24 + .../small-size-llm/Dockerfile | 8 + .../small-size-llm/README.md | 315 ++++++++++++ .../small-size-llm/client.py | 18 + .../small-size-llm/notebook.ipynb | 407 +++++++++++++++ .../small-size-llm/serve_llama_3_1_8b.py | 24 + .../small-size-llm/service.yaml | 10 + .../deployment-serve-llm/vision-llm/README.md | 232 +++++++++ .../vision-llm/client_local_image.py | 37 ++ .../vision-llm/client_url_image.py | 33 ++ .../vision-llm/notebook.ipynb | 311 ++++++++++++ .../vision-llm/serve_qwen_VL.py | 22 + release/BUILD.bazel | 1 + .../byod/byod_deployment_serve_llm.sh | 3 + release/release_tests.yaml | 27 + 51 files changed, 5076 insertions(+), 6 deletions(-) delete mode 100644 doc/source/serve/tutorials/BUILD.bazel create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/README.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/ci/aws.yaml create mode 100755 doc/source/serve/tutorials/deployment-serve-llm/ci/build.sh create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/ci/gce.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/ci/nb2py.py create mode 100755 doc/source/serve/tutorials/deployment-serve-llm/ci/tests.sh create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/configs/aws.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/configs/gce.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/Dockerfile create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/serve_deepseek_r1.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/Dockerfile create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/Dockerfile create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py create mode 100755 release/ray_release/byod/byod_deployment_serve_llm.sh diff --git a/.vale/styles/config/vocabularies/General/accept.txt b/.vale/styles/config/vocabularies/General/accept.txt index 886a23d9b920..dfd100659547 100644 --- a/.vale/styles/config/vocabularies/General/accept.txt +++ b/.vale/styles/config/vocabularies/General/accept.txt @@ -33,6 +33,7 @@ autoscales bool breakpoint BTS +bursty chatbot CLI configs @@ -45,8 +46,10 @@ deserialize deserializes dev dev to prod -disable +[d|D]isable[d] +[d|D]isable DLinear +Dockerfile DPO EKS ETDataset @@ -69,6 +72,7 @@ LMs LSH MCP Megatron +Mixtral MLflow MLOps namespace @@ -76,6 +80,7 @@ NER Nsight NumPy NVIDIA +NVLink OOM open-source PACK @@ -86,6 +91,8 @@ pretraining productionize Pythonic QPS +Qwen +Quantizing retrigger RISECamp RLHF @@ -104,6 +111,7 @@ teardown uncaptured URI(s)? UUID +USD uv verl VM(s)? diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 617dd3bac2a3..018aa5185495 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -599,3 +599,9 @@ filegroup( srcs = glob(["source/ray-overview/examples/**/*.yaml"]), visibility = ["//release:__pkg__"], ) + +filegroup( + name = "deployment_serve_llm_example_configs", + srcs = glob(["source/serve/tutorials/deployment-serve-llm/**/*.yaml"]), + visibility = ["//release:__pkg__"], +) diff --git a/doc/source/conf.py b/doc/source/conf.py index d72a24fb14eb..02db9e3b801a 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -228,6 +228,8 @@ def __init__(self, version: str): "data/api/ray.data.*.rst", "ray-overview/examples/**/README.md", # Exclude .md files in examples subfolders "train/examples/**/README.md", + "serve/tutorials/deployment-serve-llm/README.*", + "serve/tutorials/deployment-serve-llm/*/notebook.ipynb", ] + autogen_files # If "DOC_LIB" is found, only build that top-level navigation item. diff --git a/doc/source/serve/examples.yml b/doc/source/serve/examples.yml index bd830b01e8d8..e1077becdf6d 100644 --- a/doc/source/serve/examples.yml +++ b/doc/source/serve/examples.yml @@ -74,6 +74,54 @@ examples: - natural language processing link: tutorials/serve-deepseek related_technology: llm applications + - title: Deploying a small-sized LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/small-size-llm/README + related_technology: llm applications + - title: Deploying a medium-sized LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/medium-size-llm/README + related_technology: llm applications + - title: Deploying a large-sized LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/large-size-llm/README + related_technology: llm applications + - title: Deploying a vision LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/vision-llm/README + related_technology: llm applications + - title: Deploying a reasoning LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/reasoning-llm/README + related_technology: llm applications + - title: Deploying a hybrid reasoning LLM + skill_level: beginner + use_cases: + - generative ai + - large language models + - natural language processing + link: tutorials/deployment-serve-llm/hybrid-reasoning-llm/README + related_technology: llm applications - title: Serve a Chatbot with Request and Response Streaming skill_level: intermediate use_cases: diff --git a/doc/source/serve/tutorials/BUILD.bazel b/doc/source/serve/tutorials/BUILD.bazel deleted file mode 100644 index beb03dfbbaa8..000000000000 --- a/doc/source/serve/tutorials/BUILD.bazel +++ /dev/null @@ -1,5 +0,0 @@ -filegroup( - name = "markdowns", - srcs = glob(["*.md"]), - visibility = ["//python/ray/serve:__subpackages__"], -) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb new file mode 100644 index 000000000000..d7f694270177 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb @@ -0,0 +1,58 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "bc12c0d2", + "metadata": {}, + "source": [ + "# Quickstarts for LLM serving\n", + "\n", + "These guides provide a fast path to serving LLMs using Ray Serve on Anyscale, with focused tutorials for different deployment scales, from single-GPU setups to multi-node clusters.\n", + "\n", + "Each tutorial includes development and production setups, tips for configuring your cluster, and guidance on monitoring and scaling with Ray Serve.\n", + "\n", + "## Tutorial categories\n", + "\n", + "**[Small-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/small-size-llm/README.html)** \n", + "Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. \n", + "\n", + "---\n", + "\n", + "**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/medium-size-llm/README.html)** \n", + "Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. \n", + "\n", + "---\n", + "\n", + "**[Large-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/large-size-llm/README.html)** \n", + "Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. \n", + "\n", + "---\n", + "\n", + "**[Vision LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/vision-llm/README.html)** \n", + "Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. \n", + "\n", + "---\n", + "\n", + "**[Reasoning LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/reasoning-llm/README.html)** \n", + "Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. \n", + "\n", + "---\n", + "\n", + "**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/hybrid-reasoning-llm/README.html)** \n", + "Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3." + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + }, + "myst": { + "front_matter": { + "orphan": true + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/README.md new file mode 100644 index 000000000000..e4372a2a92b7 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.md @@ -0,0 +1,41 @@ + + +# Quickstarts for LLM serving + +These guides provide a fast path to serving LLMs using Ray Serve on Anyscale, with focused tutorials for different deployment scales, from single-GPU setups to multi-node clusters. + +Each tutorial includes development and production setups, tips for configuring your cluster, and guidance on monitoring and scaling with Ray Serve. + +## Tutorial categories + +**[Small-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/small-size-llm/README.html)** +Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. + +--- + +**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/medium-size-llm/README.html)** +Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. + +--- + +**[Large-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/large-size-llm/README.html)** +Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. + +--- + +**[Vision LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/vision-llm/README.html)** +Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. + +--- + +**[Reasoning LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/reasoning-llm/README.html)** +Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. + +--- + +**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/hybrid-reasoning-llm/README.html)** +Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/ci/aws.yaml b/doc/source/serve/tutorials/deployment-serve-llm/ci/aws.yaml new file mode 100644 index 000000000000..beb4314156b7 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/ci/aws.yaml @@ -0,0 +1,14 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +# Head node +head_node_type: + name: head + instance_type: m5.2xlarge + resources: + cpu: 8 + +# Worker nodes +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/serve/tutorials/deployment-serve-llm/ci/build.sh b/doc/source/serve/tutorials/deployment-serve-llm/ci/build.sh new file mode 100755 index 000000000000..ef7e19de90b6 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/ci/build.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +set -exo pipefail diff --git a/doc/source/serve/tutorials/deployment-serve-llm/ci/gce.yaml b/doc/source/serve/tutorials/deployment-serve-llm/ci/gce.yaml new file mode 100644 index 000000000000..9c3790622d03 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/ci/gce.yaml @@ -0,0 +1,14 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-central1 + +# Head node +head_node_type: + name: head + instance_type: n2-standard-8 + resources: + cpu: 8 + +# Worker nodes +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/serve/tutorials/deployment-serve-llm/ci/nb2py.py b/doc/source/serve/tutorials/deployment-serve-llm/ci/nb2py.py new file mode 100644 index 000000000000..2c94f8270b9e --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/ci/nb2py.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python3 +import argparse +import nbformat + + +def convert_notebook( + input_path: str, output_path: str, ignore_cmds: bool = False +) -> None: + """ + Read a Jupyter notebook and write a Python script, converting all %%bash + cells and IPython "!" commands into subprocess.run calls that raise on error. + Cells that load or autoreload extensions are ignored. + """ + nb = nbformat.read(input_path, as_version=4) + with open(output_path, "w") as out: + for cell in nb.cells: + # Only process code cells + if cell.cell_type != "code": + continue + + lines = cell.source.splitlines() + # Skip cells that load or autoreload extensions + if any( + l.strip().startswith("%load_ext autoreload") + or l.strip().startswith("%autoreload all") + for l in lines + ): + continue + + # Detect a %%bash cell + if lines and lines[0].strip().startswith("%%bash"): + if ignore_cmds: + continue + bash_script = "\n".join(lines[1:]).rstrip() + out.write("import subprocess\n") + out.write( + f"subprocess.run(r'''{bash_script}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n\n" + ) + else: + # Detect any IPython '!' shell commands in code lines + has_bang = any(line.lstrip().startswith("!") for line in lines) + if has_bang: + if ignore_cmds: + continue + out.write("import subprocess\n") + for line in lines: + stripped = line.lstrip() + if stripped.startswith("!"): + cmd = stripped[1:].lstrip() + out.write( + f"subprocess.run(r'''{cmd}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n" + ) + else: + out.write(line.rstrip() + "\n") + out.write("\n") + else: + # Regular Python cell: + code = cell.source.rstrip() + if "client.chat.completions.create" in code: + continue # Model isn't deployed in CI so skip cells calling the service + # else, dump as-is + out.write(cell.source.rstrip() + "\n\n") + + +def main() -> None: + parser = argparse.ArgumentParser( + description="Convert a Jupyter notebook to a Python script, preserving bash cells and '!' commands as subprocess calls unless ignored with --ignore-cmds." + ) + parser.add_argument("input_nb", help="Path to the input .ipynb file") + parser.add_argument("output_py", help="Path for the output .py script") + parser.add_argument( + "--ignore-cmds", action="store_true", help="Ignore bash cells and '!' commands" + ) + args = parser.parse_args() + convert_notebook(args.input_nb, args.output_py, ignore_cmds=args.ignore_cmds) + + +if __name__ == "__main__": + main() diff --git a/doc/source/serve/tutorials/deployment-serve-llm/ci/tests.sh b/doc/source/serve/tutorials/deployment-serve-llm/ci/tests.sh new file mode 100755 index 000000000000..79e90ee0905e --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/ci/tests.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +# Don't use nbconvert or jupytext unless you're willing +# to check each subprocess unit and validate that errors +# aren't being consumed/hidden + +set -exo pipefail + +for nb in \ + "small-size-llm/notebook" \ + "medium-size-llm/notebook" \ + "large-size-llm/notebook" \ + "vision-llm/notebook" \ + "reasoning-llm/notebook" \ + "hybrid-reasoning-llm/notebook" +do + python ci/nb2py.py "${nb}.ipynb" "${nb}.py" --ignore-cmds + python "${nb}.py" + rm "${nb}.py" +done diff --git a/doc/source/serve/tutorials/deployment-serve-llm/configs/aws.yaml b/doc/source/serve/tutorials/deployment-serve-llm/configs/aws.yaml new file mode 100644 index 000000000000..823b7cf2d786 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/configs/aws.yaml @@ -0,0 +1,7 @@ +head_node_type: + name: head + instance_type: m5.2xlarge +worker_node_types: [] +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/serve/tutorials/deployment-serve-llm/configs/gce.yaml b/doc/source/serve/tutorials/deployment-serve-llm/configs/gce.yaml new file mode 100644 index 000000000000..455977d495e0 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/configs/gce.yaml @@ -0,0 +1,7 @@ +head_node_type: + name: head + instance_type: n1-standard-8 +worker_node_types: [] +auto_select_worker_config: true +flags: + allow-cross-zone-autoscaling: true diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md new file mode 100644 index 000000000000..6fdd089399d8 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md @@ -0,0 +1,369 @@ +--- +orphan: true +--- + + + +# Deploy a hybrid reasoning LLM + +A hybrid reasoning model provides flexibility by allowing you to enable or disable reasoning as needed. You can use structured, step-by-step thinking for complex queries while skipping it for simpler ones, balancing accuracy with efficiency depending on the task. + +This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. + +--- + +## Distinction with purely reasoning models + +*Hybrid reasoning models* are reasoning-capable models that allow you to toggle the thinking process on and off. You can enable structured, step-by-step reasoning when needed but skip it for simpler queries to reduce latency. Purely reasoning models always apply their reasoning behavior, while hybrid models give you fine-grained control over when to use reasoning. + +| **Mode** | **Core behavior** | **Use case examples** | **Limitation** | +| ---------------- | -------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------- | +| **Thinking ON** | Explicit multi-step thinking process | Math, coding, logic puzzles, multi-hop QA, CoT prompting | Slower response time, more tokens used. | +| **Thinking OFF** | Direct answer generation | Casual queries, short instructions, single-step answers | May struggle with complex reasoning or interpretability. | + +**Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning. + +To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.html). + +--- + +## Enable or disable thinking + +Some hybrid reasoning models let you toggle their "thinking" mode on or off. This section explains when to use thinking mode versus skipping it, and shows how to control the setting in practice. + +--- + +### When to enable or disable thinking mode + +**Enable thinking mode for:** +- Complex, multi-step tasks that require reasoning, such as math, physics, or logic problems. +- Ambiguous queries or situations with incomplete information. +- Planning, workflow orchestration, or when the model needs to act as an "agent" coordinating other tools or models. +- Analyzing intricate data, images, or charts. +- In-depth code reviews or evaluating outputs from other AI systems (LLM as Judge approach). + +**Disable thinking mode for:** +- Simple, well-defined, or routine tasks. +- Low latency and fast responses as the priority. +- Repetitive, straightforward steps within a larger automated workflow. + +--- + +### How to enable or disable thinking mode + +Toggle thinking mode varies by model and framework. Consult the documentation for the model to see how it structures and controls thinking. + +For example, to [control reasoning in Qwen-3](https://huggingface.co/Qwen/Qwen3-32B#switching-between-thinking-and-non-thinking-mode), you can: +* Add `"/think"` or `"/no_think"` in the prompt. +* Set `enable_thinking` in the request: + `extra_body={"chat_template_kwargs": {"enable_thinking": ...}}`. + +See [Send request with thinking enabled](#send-request-with-thinking-enabled) or [Send request with thinking disabled](#send-request-with-thinking-disabled) for practical examples. + +--- + +## Parse reasoning outputs + +In thinking mode, hybrid models often separate _reasoning_ from the _final answer_ using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. + +To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. +**Note:** For example, *Qwen-3* uses the `qwen3` parser. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed. + +```yaml +applications: +- ... + args: + llm_configs: + - model_loading_config: + model_id: my-qwen-3-32b + model_source: Qwen/Qwen3-32B + ... + engine_kwargs: + ... + reasoning_parser: qwen3 # <-- for Qwen-3 models +``` + +See [Configure Ray Serve LLM](#configure-ray-serve-llm) for a complete example. + +**Example response** +When using a reasoning parser, the response is typically structured like this: + +```python +ChatCompletionMessage( + content="The temperature is...", + ..., + reasoning_content="Okay, the user is asking for the temperature today and tomorrow..." +) +``` +And you can extract the content and reasoning like this +```python +response = client.chat.completions.create( + ... +) + +print(f"Content: {response.choices[0].message.content}") +print(f"Reasoning: {response.choices[0].message.reasoning_content}") +``` + +--- + +## Configure Ray Serve LLM + +Set your Hugging Face token in the config file to access gated models. + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + +Set `tensor_parallel_size` to distribute the model's weights among 8 GPUs in the node. + + +```python +# serve_qwen_3_32b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwen-3-32b", + model_source="Qwen/Qwen3-32B", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + tensor_parallel_size=8, max_model_len=32768, reasoning_parser="qwen3" + ), +) +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. + +**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +--- + +### Launch + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwen_3_32b.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_qwen_3_32b:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"` + +Use the `model_id` defined in your config (here, `my-qwen-3-32b`) to query your model. Below are some examples on how to send a request to a Qwen-3 deployment with thinking enabled or disabled. + +--- + +### Send request with thinking disabled + +You can disable thinking in Qwen-3 by either adding a `/no_think` tag in the prompt or by forwarding `enable_thinking: False` to the vLLM inference engine. + +Example curl with `/no_think` + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer FAKE_KEY" \ + -d '{ \ + "model": "my-qwen-3-32b", \ + "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /no_think"}] \ + }' +``` + +Example Python with `enable_thinking: False`: + + +```python +#client_thinking_disabled.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[ + {"role": "user", "content": "What's the capital of France ?"} + ], + extra_body={"chat_template_kwargs": {"enable_thinking": False}} +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") +``` + +Notice the `reasoning_content` is empty here. +**Note:** Depending on your model's documentation, empty could mean `None`, an empty string or even empty tags `""`. + +--- + +### Send request with thinking enabled + +You can enable thinking in Qwen-3 by either adding a `/think` tag in the prompt or by forwarding `enable_thinking: True` to the vLLM inference engine. + +Example curl with `/think` + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer FAKE_KEY" \ + -d '{ \ + "model": "my-qwen-3-32b", \ + "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /think"}] \ + }' +``` + + Example Python with `enable_thinking: True`: + + +```python +#client_thinking_enabled.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[ + {"role": "user", "content": "What's the capital of France ?"} + ], + extra_body={"chat_template_kwargs": {"enable_thinking": True}} +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") +``` + +If you configure a valid reasoning parser, the reasoning output should appear in the `reasoning_content` field of the response message. Otherwise, it may be included in the main `content` field, typically wrapped in `...` tags. See [Parse reasoning outputs](#parse-reasoning-outputs) for more information. + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale services + +For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#production-deployment-with-anyscale-service) for an example with a medium-sized model like the *Qwen-32b* from this tutorial. + +--- + +## Stream reasoning content + +In thinking mode, hybrid reasoning models may take longer to begin generating the main content. You can stream intermediate reasoning output in the same way as the main content. + + +```python +#client_streaming.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[ + {"role": "user", "content": "What's the capital of France ?"} + ], + extra_body={"chat_template_kwargs": {"enable_thinking": True}} +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[ + {"role": "user", "content": "I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?"} + ], + extra_body={"chat_template_kwargs": {"enable_thinking": True}}, + stream=True +) + +# Stream +for chunk in response: + # Stream reasoning content + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) +``` + + +--- + +## Summary + +In this tutorial, you deployed a hybrid reasoning LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM with the right reasoning parser, deploy your service on your Ray cluster, send requests, and parse reasoning outputs in the response. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py new file mode 100644 index 000000000000..7e51b794445c --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py @@ -0,0 +1,34 @@ +# client_streaming.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[ + { + "role": "user", + "content": "I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?", + } + ], + extra_body={"chat_template_kwargs": {"enable_thinking": True}}, + stream=True, +) + +# Stream +for chunk in response: + # Stream reasoning content + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py new file mode 100644 index 000000000000..46aa914441ea --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py @@ -0,0 +1,18 @@ +# client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[{"role": "user", "content": "What's the capital of France ?"}], + extra_body={"chat_template_kwargs": {"enable_thinking": False}}, +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py new file mode 100644 index 000000000000..f09b5868648d --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py @@ -0,0 +1,18 @@ +# client_thinking_enabled.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwen-3-32b", + messages=[{"role": "user", "content": "What's the capital of France ?"}], + extra_body={"chat_template_kwargs": {"enable_thinking": True}}, +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb new file mode 100644 index 000000000000..08d565da1443 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb @@ -0,0 +1,470 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e926219a", + "metadata": {}, + "source": [ + "# Deploy a hybrid reasoning LLM\n", + "\n", + "A hybrid reasoning model provides flexibility by allowing you to enable or disable reasoning as needed. You can use structured, step-by-step thinking for complex queries while skipping it for simpler ones, balancing accuracy with efficiency depending on the task.\n", + "\n", + "This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. \n", + "\n", + "---\n", + "\n", + "## Distinction with purely reasoning models\n", + "\n", + "*Hybrid reasoning models* are reasoning-capable models that allow you to toggle the thinking process on and off. You can enable structured, step-by-step reasoning when needed but skip it for simpler queries to reduce latency. Purely reasoning models always apply their reasoning behavior, while hybrid models give you fine-grained control over when to use reasoning.\n", + "\n", + "| **Mode** | **Core behavior** | **Use case examples** | **Limitation** |\n", + "| ---------------- | -------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------- |\n", + "| **Thinking ON** | Explicit multi-step thinking process | Math, coding, logic puzzles, multi-hop QA, CoT prompting | Slower response time, more tokens used. |\n", + "| **Thinking OFF** | Direct answer generation | Casual queries, short instructions, single-step answers | May struggle with complex reasoning or interpretability. |\n", + "\n", + "**Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning.\n", + "\n", + "To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.html).\n", + "\n", + "---\n", + "\n", + "## Enable or disable thinking\n", + "\n", + "Some hybrid reasoning models let you toggle their \"thinking\" mode on or off. This section explains when to use thinking mode versus skipping it, and shows how to control the setting in practice.\n", + "\n", + "---\n", + "\n", + "### When to enable or disable thinking mode\n", + "\n", + "**Enable thinking mode for:**\n", + "- Complex, multi-step tasks that require reasoning, such as math, physics, or logic problems.\n", + "- Ambiguous queries or situations with incomplete information.\n", + "- Planning, workflow orchestration, or when the model needs to act as an \"agent\" coordinating other tools or models.\n", + "- Analyzing intricate data, images, or charts.\n", + "- In-depth code reviews or evaluating outputs from other AI systems (LLM as Judge approach).\n", + "\n", + "**Disable thinking mode for:**\n", + "- Simple, well-defined, or routine tasks.\n", + "- Low latency and fast responses as the priority.\n", + "- Repetitive, straightforward steps within a larger automated workflow.\n", + "\n", + "---\n", + "\n", + "### How to enable or disable thinking mode\n", + "\n", + "Toggle thinking mode varies by model and framework. Consult the documentation for the model to see how it structures and controls thinking.\n", + "\n", + "For example, to [control reasoning in Qwen-3](https://huggingface.co/Qwen/Qwen3-32B#switching-between-thinking-and-non-thinking-mode), you can:\n", + "* Add `\"/think\"` or `\"/no_think\"` in the prompt.\n", + "* Set `enable_thinking` in the request:\n", + " `extra_body={\"chat_template_kwargs\": {\"enable_thinking\": ...}}`.\n", + "\n", + "See [Send request with thinking enabled](#send-request-with-thinking-enabled) or [Send request with thinking disabled](#send-request-with-thinking-disabled) for practical examples.\n", + "\n", + "---\n", + "\n", + "## Parse reasoning outputs\n", + "\n", + "In thinking mode, hybrid models often separate _reasoning_ from the _final answer_ using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. \n", + "\n", + "To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output.\n", + "**Note:** For example, *Qwen-3* uses the `qwen3` parser. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed.\n", + "\n", + "```yaml\n", + "applications:\n", + "- ...\n", + " args:\n", + " llm_configs:\n", + " - model_loading_config:\n", + " model_id: my-qwen-3-32b\n", + " model_source: Qwen/Qwen3-32B\n", + " ...\n", + " engine_kwargs:\n", + " ...\n", + " reasoning_parser: qwen3 # <-- for Qwen-3 models\n", + "```\n", + "\n", + "See [Configure Ray Serve LLM](#configure-ray-serve-llm) for a complete example.\n", + "\n", + "**Example response** \n", + "When using a reasoning parser, the response is typically structured like this:\n", + "\n", + "```python\n", + "ChatCompletionMessage(\n", + " content=\"The temperature is...\",\n", + " ...,\n", + " reasoning_content=\"Okay, the user is asking for the temperature today and tomorrow...\"\n", + ")\n", + "```\n", + "And you can extract the content and reasoning like this\n", + "```python\n", + "response = client.chat.completions.create(\n", + " ...\n", + ")\n", + "\n", + "print(f\"Content: {response.choices[0].message.content}\")\n", + "print(f\"Reasoning: {response.choices[0].message.reasoning_content}\")\n", + "```\n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "Set your Hugging Face token in the config file to access gated models.\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object.\n", + "\n", + "Set `tensor_parallel_size` to distribute the model's weights among 8 GPUs in the node. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1daf892", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_qwen_3_32b.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "import os\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-qwen-3-32b\",\n", + " model_source=\"Qwen/Qwen3-32B\",\n", + " ),\n", + " accelerator_type=\"A100-40G\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=2,\n", + " )\n", + " ),\n", + " ### Uncomment if your model is gated and needs your Hugging Face token to access it.\n", + " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(\n", + " tensor_parallel_size=8, max_model_len=32768, reasoning_parser=\"qwen3\"\n", + " ),\n", + ")\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "32272280", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "\n", + "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "---\n", + "\n", + "### Launch\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwen_3_32b.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6a8f1b58", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_qwen_3_32b:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "a24501f5", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`\n", + "\n", + "Use the `model_id` defined in your config (here, `my-qwen-3-32b`) to query your model. Below are some examples on how to send a request to a Qwen-3 deployment with thinking enabled or disabled. \n", + "\n", + "---\n", + "\n", + "### Send request with thinking disabled\n", + "\n", + "You can disable thinking in Qwen-3 by either adding a `/no_think` tag in the prompt or by forwarding `enable_thinking: False` to the vLLM inference engine. \n", + "\n", + "Example curl with `/no_think`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d77d2201", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-qwen-3-32b\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /no_think\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "a127ea5f", + "metadata": {}, + "source": [ + "Example Python with `enable_thinking: False`:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e51e9d85", + "metadata": {}, + "outputs": [], + "source": [ + "#client_thinking_disabled.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "# Example: Complex query with thinking process\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-3-32b\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"What's the capital of France ?\"}\n", + " ],\n", + " extra_body={\"chat_template_kwargs\": {\"enable_thinking\": False}}\n", + ")\n", + "\n", + "print(f\"Reasoning: \\n{response.choices[0].message.reasoning_content}\\n\\n\")\n", + "print(f\"Answer: \\n {response.choices[0].message.content}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9765b3f8", + "metadata": {}, + "source": [ + "Notice the `reasoning_content` is empty here. \n", + "**Note:** Depending on your model's documentation, empty could mean `None`, an empty string or even empty tags `\"\"`.\n", + "\n", + "---\n", + "\n", + "### Send request with thinking enabled\n", + " \n", + "You can enable thinking in Qwen-3 by either adding a `/think` tag in the prompt or by forwarding `enable_thinking: True` to the vLLM inference engine. \n", + "\n", + "Example curl with `/think`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8702258c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-qwen-3-32b\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /think\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "c0bad31b", + "metadata": {}, + "source": [ + " Example Python with `enable_thinking: True`:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a52eb68", + "metadata": {}, + "outputs": [], + "source": [ + "#client_thinking_enabled.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "# Example: Complex query with thinking process\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-3-32b\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"What's the capital of France ?\"}\n", + " ],\n", + " extra_body={\"chat_template_kwargs\": {\"enable_thinking\": True}}\n", + ")\n", + "\n", + "print(f\"Reasoning: \\n{response.choices[0].message.reasoning_content}\\n\\n\")\n", + "print(f\"Answer: \\n {response.choices[0].message.content}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1f36ba3d", + "metadata": {}, + "source": [ + "If you configure a valid reasoning parser, the reasoning output should appear in the `reasoning_content` field of the response message. Otherwise, it may be included in the main `content` field, typically wrapped in `...` tags. See [Parse reasoning outputs](#parse-reasoning-outputs) for more information.\n", + "\n", + "---\n", + "\n", + "### Shutdown \n", + "\n", + "Shutdown your LLM service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cc5cc23", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "8009515b", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale services\n", + "\n", + "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#production-deployment-with-anyscale-service) for an example with a medium-sized model like the *Qwen-32b* from this tutorial.\n", + "\n", + "---\n", + "\n", + "## Stream reasoning content\n", + "\n", + "In thinking mode, hybrid reasoning models may take longer to begin generating the main content. You can stream intermediate reasoning output in the same way as the main content. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5f5a877", + "metadata": {}, + "outputs": [], + "source": [ + "#client_streaming.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "# Example: Complex query with thinking process\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-3-32b\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"What's the capital of France ?\"}\n", + " ],\n", + " extra_body={\"chat_template_kwargs\": {\"enable_thinking\": True}}\n", + ")\n", + "\n", + "print(f\"Reasoning: \\n{response.choices[0].message.reasoning_content}\\n\\n\")\n", + "print(f\"Answer: \\n {response.choices[0].message.content}\")\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "# Example: Complex query with thinking process\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-3-32b\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?\"}\n", + " ],\n", + " extra_body={\"chat_template_kwargs\": {\"enable_thinking\": True}},\n", + " stream=True\n", + ")\n", + "\n", + "# Stream \n", + "for chunk in response:\n", + " # Stream reasoning content\n", + " if hasattr(chunk.choices[0].delta, \"reasoning_content\"):\n", + " data_reasoning = chunk.choices[0].delta.reasoning_content\n", + " if data_reasoning:\n", + " print(data_reasoning, end=\"\", flush=True)\n", + " # Later, stream the final answer\n", + " if hasattr(chunk.choices[0].delta, \"content\"):\n", + " data_content = chunk.choices[0].delta.content\n", + " if data_content:\n", + " print(data_content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "d6357c06", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a hybrid reasoning LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM with the right reasoning parser, deploy your service on your Ray cluster, send requests, and parse reasoning outputs in the response." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py new file mode 100644 index 000000000000..e53f28ac6a90 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py @@ -0,0 +1,23 @@ +# serve_qwen_3_32b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwen-3-32b", + model_source="Qwen/Qwen3-32B", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + tensor_parallel_size=8, max_model_len=32768, reasoning_parser="qwen3" + ), +) +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/Dockerfile b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/Dockerfile new file mode 100644 index 000000000000..a2412390df61 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/Dockerfile @@ -0,0 +1,8 @@ +FROM anyscale/ray:2.49.0-slim-py312-cu128 + +# C compiler for Triton’s runtime build step (vLLM V1 engine) +# https://github.com/vllm-project/vllm/issues/2997 +RUN sudo apt-get update && \ + sudo apt-get install -y --no-install-recommends build-essential + +RUN pip install vllm==0.10.0 \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md new file mode 100644 index 000000000000..f269a9ea8db5 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md @@ -0,0 +1,358 @@ +--- +orphan: true +--- + + + +# Deploy a large size LLM + +A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results. + +This tutorial deploys DeepSeek-R1, a large LLM with 685 B parameters, using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html) or [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html). + +--- + +## Challenges of large-scale deployments + +Deploying a 685 B-parameter model like DeepSeek-R1 presents significant technical challenges. At this scale, the model can't fit on a single GPU or even a single node. You must distribute it across multiple GPUs and nodes using *tensor parallelism* (splitting tensors within each layer) and *pipeline parallelism* (spreading layers across devices). + +Deploying a model of this scale normally requires you to manually launch and coordinate multiple nodes, unless you use a managed platform like [Anyscale](https://www.anyscale.com/), which automates cluster scaling and node orchestration. See [Deploy to production with Anyscale Services](#deploy-to-production-with-anyscale-services) for more details. + +--- + +## Configure Ray Serve LLM + +A large-sized LLM is typically deployed across multiple nodes with multiple GPUs. To fully utilize the hardware, set `pipeline_parallel_size` to the number of nodes and `tensor_parallel_size` to the number of GPUs per node, which distributes the model’s weights evenly. + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + +**Optional:** Because Deepseek-R1 is a reasoning model, this tutorial uses vLLM’s built-in reasoning parser to correctly separate its reasoning content from the final response. See [Deploying a reasoning LLM: Parse reasoning outputs](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html#parse-reasoning-outputs). + + +```python +# serve_deepseek_r1.py +from ray.serve.llm import LLMConfig, build_openai_app + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-deepseek-r1", + model_source="deepseek-ai/DeepSeek-R1", + ), + accelerator_type="H100", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=1, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + max_model_len=16384, + # Split weights among 8 GPUs in the node + tensor_parallel_size=8, + pipeline_parallel_size=2, + reasoning_parser="deepseek_r1", # Optional: separate reasoning content from the final answer + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. + +**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +**Beware**: this is an expensive deployment. + +--- + +### Launch + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_deepseek_r1.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_deepseek_r1:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +--- + +### Send requests + +Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. + +Example curl: + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Authorization: Bearer FAKE_KEY" \ + -H "Content-Type: application/json" \ + -d '{ \ + "model": "my-deepseek-r1", \ + "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ + }' +``` + +Example Python: + + +```python +#client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-deepseek-r1", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True, +) + +# Stream and print JSON +for chunk in response: + # Stream reasoning content first + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) +``` + + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale services + +For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale provides scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates, while also automating multi-node setup and autoscaling for large models like DeepSeek-R1. + +**Beware**: this is an expensive deployment. At the time of writing, the deployment cost is around \$110 USD per hour in the `us-west-2` AWS region using on-demand instances. Because this node has a high amount of inter-node traffic, and cross-zone traffic is expensive (around \$0.02 per GB), it's recommended to *disable cross-zone autoscaling*. This demo is pre-configured with cross-zone autoscaling disabled for your convenience. + +### Prerequisites + +The following template runs only on H100 GPUs in your self-hosted Anyscale cloud, as H100s aren't available in Anyscale’s public cloud. This example uses two nodes of type *8xH100-80 GB:208CPU-1830 GB* on an AWS cloud. + +To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp/#changing-the-default-disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws/#changing-the-default-disk-size) for Amazon Web Services (AWS). + +--- + +### Launch the service + +Anyscale provides out-of-the-box images (`anyscale/ray-llm`), which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image. + +Create your Anyscale service configuration in a new `service.yaml` file: +```yaml +#service.yaml +name: deploy-deepseek-r1 +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 +compute_config: + auto_select_worker_config: true + # Change default disk size to 1000GB + advanced_instance_config: + ## AWS ## + BlockDeviceMappings: + - Ebs: + - VolumeSize: 1000 + VolumeType: gp3 + DeleteOnTermination: true + DeviceName: "/dev/sda1" + ######### + ## GCP ## + #instanceProperties: + # disks: + # - boot: true + # auto_delete: true + # initialize_params: + # - disk_size_gb: 1000 + ######### + +working_dir: . +cloud: +applications: +# Point to your app in your Python module +- import_path: serve_deepseek_r1:app +``` + +Deploy your service + + +```bash +%%bash +anyscale service deploy -f service.yaml +``` + +**Note:** If your model is gated, make sure to pass your Hugging Face token to the service with `--env HF_TOKEN=` + +**Custom Dockerfile** +You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`): + +```yaml +# service.yaml +# Replace: +# image_uri: anyscale/ray-llm:2.49.0-py311-cu128 + +# with: +containerfile: ./Dockerfile +``` + +See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes. + +--- + +### Send requests + +The `anyscale service deploy` command output shows both the endpoint and authentication token: +```console +(anyscale +3.9s) curl -H "Authorization: Bearer " +``` +You can also retrieve both from the service page in the Anyscale console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. + +--- + +### Access the Serve LLM dashboard + +See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM dashboard from an Anyscale service: +1. In the Anyscale console, go to your **Service** or **Workspace** +2. Navigate to the **Metrics** tab +3. Click **View in Grafana** and click **Serve LLM Dashboard** + +--- + +### Shutdown + +Shutdown your Anyscale service: + + +```bash +%%bash +anyscale service terminate -n deploy-deepseek-r1 +``` + + +--- + +## Enable LLM monitoring + +The *Serve LLM dashboard* offers deep visibility into model performance, latency, and system behavior, including: + +* Token throughput (tokens/sec) +* Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT) +* KV cache utilization + +To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: "1"`. +**Note:** `VLLM_USE_V1: "1"` is the default value with `ray >= 2.48.0` and can be omitted. +```yaml +applications: +- ... + args: + llm_configs: + - ... + runtime_env: + env_vars: + VLLM_USE_V1: "1" + ... + log_engine_metrics: true +``` + +--- + +## Improve concurrency + +Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. + +Example log: +```console +INFO 07-30 11:56:04 [kv_cache_utils.py:637] Maximum concurrency for 32,768 tokens per request: 29.06x +``` + +The following are a few ways to improve concurrency depending on your model and hardware: + +**Reduce `max_model_len`** +Lowering `max_model_len` reduces the memory needed for KV cache. + +**Example**: Running DeepSeek-R1 on 2 nodes with 8xH100-80 GB GPUs each: +* `max_model_len = 32,768` → concurrency ≈ 29 +* `max_model_len = 16,384` → concurrency ≈ 58 + +**Use distilled or quantized models** +Quantizing or distilling your model reduces its memory footprint, freeing up space for more KV cache and enabling more concurrent requests. For example, see [`deepseek-ai/DeepSeek-R1-Distill-Llama-70B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) for a distilled version of DeepSeek-R1. + + +**Upgrade to GPUs with more memory** +Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. + +**Scale with more replicas** +In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +```yaml +deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 4 +``` + +*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).* + +--- + +## Troubleshooting + +**Hugging Face auth errors** +Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access. + +**Out-Of-Memory errors** +Out‑of‑memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes, and context length increase. +See [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them. + +--- + +## Summary + +In this tutorial, you deployed a large-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and troubleshoot common issues. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py new file mode 100644 index 000000000000..0f76eb43e6b9 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py @@ -0,0 +1,27 @@ +# client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-deepseek-r1", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True, +) + +# Stream and print JSON +for chunk in response: + # Stream reasoning content first + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb new file mode 100644 index 000000000000..e55d72774072 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb @@ -0,0 +1,450 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f8f6fcbd", + "metadata": {}, + "source": [ + "# Deploy a large size LLM\n", + "\n", + "A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results.\n", + "\n", + "This tutorial deploys DeepSeek-R1, a large LLM with 685 B parameters, using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html) or [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html).\n", + "\n", + "---\n", + "\n", + "## Challenges of large-scale deployments\n", + "\n", + "Deploying a 685 B-parameter model like DeepSeek-R1 presents significant technical challenges. At this scale, the model can't fit on a single GPU or even a single node. You must distribute it across multiple GPUs and nodes using *tensor parallelism* (splitting tensors within each layer) and *pipeline parallelism* (spreading layers across devices). \n", + "\n", + "Deploying a model of this scale normally requires you to manually launch and coordinate multiple nodes, unless you use a managed platform like [Anyscale](https://www.anyscale.com/), which automates cluster scaling and node orchestration. See [Deploy to production with Anyscale Services](#deploy-to-production-with-anyscale-services) for more details.\n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "A large-sized LLM is typically deployed across multiple nodes with multiple GPUs. To fully utilize the hardware, set `pipeline_parallel_size` to the number of nodes and `tensor_parallel_size` to the number of GPUs per node, which distributes the model’s weights evenly.\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object.\n", + "\n", + "**Optional:** Because Deepseek-R1 is a reasoning model, this tutorial uses vLLM’s built-in reasoning parser to correctly separate its reasoning content from the final response. See [Deploying a reasoning LLM: Parse reasoning outputs](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html#parse-reasoning-outputs)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d185d580", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_deepseek_r1.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-deepseek-r1\",\n", + " model_source=\"deepseek-ai/DeepSeek-R1\",\n", + " ),\n", + " accelerator_type=\"H100\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=1,\n", + " )\n", + " ),\n", + " ### Uncomment if your model is gated and needs your Hugging Face token to access it.\n", + " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(\n", + " max_model_len=16384,\n", + " # Split weights among 8 GPUs in the node\n", + " tensor_parallel_size=8,\n", + " pipeline_parallel_size=2,\n", + " reasoning_parser=\"deepseek_r1\", # Optional: separate reasoning content from the final answer\n", + " ),\n", + ")\n", + "\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "6b2231a5", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "\n", + "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "**Beware**: this is an expensive deployment.\n", + "\n", + "---\n", + "\n", + "### Launch\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_deepseek_r1.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae9da12c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_deepseek_r1:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "96d18e22", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "---\n", + "\n", + "### Send requests\n", + "\n", + "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", + "\n", + "Example curl:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1dd345c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-deepseek-r1\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "dca5e4fd", + "metadata": {}, + "source": [ + "Example Python:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "584f01f7", + "metadata": {}, + "outputs": [], + "source": [ + "#client.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-deepseek-r1\",\n", + " messages=[{\"role\": \"user\", \"content\": \"Tell me a joke\"}],\n", + " stream=True,\n", + ")\n", + "\n", + "# Stream and print JSON\n", + "for chunk in response:\n", + " # Stream reasoning content first\n", + " if hasattr(chunk.choices[0].delta, \"reasoning_content\"):\n", + " data_reasoning = chunk.choices[0].delta.reasoning_content\n", + " if data_reasoning:\n", + " print(data_reasoning, end=\"\", flush=True)\n", + " # Later, stream the final answer\n", + " if hasattr(chunk.choices[0].delta, \"content\"):\n", + " data_content = chunk.choices[0].delta.content\n", + " if data_content:\n", + " print(data_content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "1a5fd1fb", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "### Shutdown\n", + "\n", + "Shutdown your LLM service: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1c03cdb9", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "dc223463", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale services\n", + "\n", + "For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale provides scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates, while also automating multi-node setup and autoscaling for large models like DeepSeek-R1.\n", + "\n", + "**Beware**: this is an expensive deployment. At the time of writing, the deployment cost is around \\$110 USD per hour in the `us-west-2` AWS region using on-demand instances. Because this node has a high amount of inter-node traffic, and cross-zone traffic is expensive (around \\$0.02 per GB), it's recommended to *disable cross-zone autoscaling*. This demo is pre-configured with cross-zone autoscaling disabled for your convenience.\n", + "\n", + "### Prerequisites\n", + "\n", + "The following template runs only on H100 GPUs in your self-hosted Anyscale cloud, as H100s aren't available in Anyscale’s public cloud. This example uses two nodes of type *8xH100-80 GB:208CPU-1830 GB* on an AWS cloud.\n", + "\n", + "To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp/#changing-the-default-disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws/#changing-the-default-disk-size) for Amazon Web Services (AWS). \n", + "\n", + "---\n", + "\n", + "### Launch the service\n", + "\n", + "Anyscale provides out-of-the-box images (`anyscale/ray-llm`), which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image.\n", + "\n", + "Create your Anyscale service configuration in a new `service.yaml` file:\n", + "```yaml\n", + "#service.yaml\n", + "name: deploy-deepseek-r1\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "compute_config:\n", + " auto_select_worker_config: true \n", + " # Change default disk size to 1000GB\n", + " advanced_instance_config:\n", + " ## AWS ##\n", + " BlockDeviceMappings:\n", + " - Ebs:\n", + " - VolumeSize: 1000\n", + " VolumeType: gp3\n", + " DeleteOnTermination: true\n", + " DeviceName: \"/dev/sda1\"\n", + " #########\n", + " ## GCP ##\n", + " #instanceProperties:\n", + " # disks:\n", + " # - boot: true\n", + " # auto_delete: true\n", + " # initialize_params:\n", + " # - disk_size_gb: 1000\n", + " #########\n", + " \n", + "working_dir: .\n", + "cloud:\n", + "applications:\n", + "# Point to your app in your Python module\n", + "- import_path: serve_deepseek_r1:app\n", + "```\n", + "\n", + "Deploy your service" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa1c6108", + "metadata": { + "pygments_lexer": "bash" + }, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service deploy -f service.yaml" + ] + }, + { + "cell_type": "markdown", + "id": "18226fd7", + "metadata": {}, + "source": [ + "**Note:** If your model is gated, make sure to pass your Hugging Face token to the service with `--env HF_TOKEN=`\n", + "\n", + "**Custom Dockerfile** \n", + "You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`):\n", + "\n", + "```yaml\n", + "# service.yaml\n", + "# Replace:\n", + "# image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "\n", + "# with:\n", + "containerfile: ./Dockerfile\n", + "```\n", + "\n", + "See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes.\n", + "\n", + "---\n", + "\n", + "### Send requests \n", + "\n", + "The `anyscale service deploy` command output shows both the endpoint and authentication token:\n", + "```console\n", + "(anyscale +3.9s) curl -H \"Authorization: Bearer \" \n", + "```\n", + "You can also retrieve both from the service page in the Anyscale console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. \n", + "\n", + "---\n", + "\n", + "### Access the Serve LLM dashboard\n", + "\n", + "See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM dashboard from an Anyscale service:\n", + "1. In the Anyscale console, go to your **Service** or **Workspace**\n", + "2. Navigate to the **Metrics** tab\n", + "3. Click **View in Grafana** and click **Serve LLM Dashboard**\n", + "\n", + "---\n", + "\n", + "### Shutdown \n", + " \n", + "Shutdown your Anyscale service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "211d5baf", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service terminate -n deploy-deepseek-r1" + ] + }, + { + "cell_type": "markdown", + "id": "1d8fba49", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Enable LLM monitoring\n", + "\n", + "The *Serve LLM dashboard* offers deep visibility into model performance, latency, and system behavior, including:\n", + "\n", + "* Token throughput (tokens/sec)\n", + "* Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT)\n", + "* KV cache utilization\n", + "\n", + "To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: \"1\"`. \n", + "**Note:** `VLLM_USE_V1: \"1\"` is the default value with `ray >= 2.48.0` and can be omitted.\n", + "```yaml\n", + "applications:\n", + "- ...\n", + " args:\n", + " llm_configs:\n", + " - ...\n", + " runtime_env:\n", + " env_vars:\n", + " VLLM_USE_V1: \"1\"\n", + " ...\n", + " log_engine_metrics: true\n", + "```\n", + "\n", + "---\n", + "\n", + "## Improve concurrency\n", + "\n", + "Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. \n", + "\n", + "Example log:\n", + "```console\n", + "INFO 07-30 11:56:04 [kv_cache_utils.py:637] Maximum concurrency for 32,768 tokens per request: 29.06x\n", + "```\n", + "\n", + "The following are a few ways to improve concurrency depending on your model and hardware: \n", + "\n", + "**Reduce `max_model_len`** \n", + "Lowering `max_model_len` reduces the memory needed for KV cache.\n", + "\n", + "**Example**: Running DeepSeek-R1 on 2 nodes with 8xH100-80 GB GPUs each:\n", + "* `max_model_len = 32,768` → concurrency ≈ 29\n", + "* `max_model_len = 16,384` → concurrency ≈ 58\n", + "\n", + "**Use distilled or quantized models** \n", + "Quantizing or distilling your model reduces its memory footprint, freeing up space for more KV cache and enabling more concurrent requests. For example, see [`deepseek-ai/DeepSeek-R1-Distill-Llama-70B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) for a distilled version of DeepSeek-R1.\n", + "\n", + "\n", + "**Upgrade to GPUs with more memory** \n", + "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", + "\n", + "**Scale with more replicas** \n", + "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "```yaml\n", + "deployment_config:\n", + " autoscaling_config:\n", + " min_replicas: 1\n", + " max_replicas: 4\n", + "```\n", + "\n", + "*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).*\n", + "\n", + "---\n", + "\n", + "## Troubleshooting\n", + "\n", + "**Hugging Face auth errors** \n", + "Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access.\n", + "\n", + "**Out-Of-Memory errors** \n", + "Out‑of‑memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes, and context length increase. \n", + "See [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them.\n", + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a large-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and troubleshoot common issues." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/serve_deepseek_r1.py b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/serve_deepseek_r1.py new file mode 100644 index 000000000000..4f95a2e6d8aa --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/serve_deepseek_r1.py @@ -0,0 +1,27 @@ +# serve_deepseek_r1.py +from ray.serve.llm import LLMConfig, build_openai_app + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-deepseek-r1", + model_source="deepseek-ai/DeepSeek-R1", + ), + accelerator_type="H100", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=1, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + max_model_len=16384, + # Split weights among 8 GPUs in the node + tensor_parallel_size=8, + pipeline_parallel_size=2, + reasoning_parser="deepseek_r1", # Optional: separate reasoning content from the final answer + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml new file mode 100644 index 000000000000..fb53624fe496 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml @@ -0,0 +1,29 @@ +#service.yaml +name: deploy-deepseek-r1 +image_uri: anyscale/ray-llm:2.48.0-py311-cu128 +compute_config: + auto_select_worker_config: true + # Change default disk size to 1000GB + advanced_instance_config: + ## AWS ## + BlockDeviceMappings: + - Ebs: + - VolumeSize: 1000 + VolumeType: gp3 + DeleteOnTermination: true + DeviceName: "/dev/sda1" + ######### + ## GCP ## + #instanceProperties: + # disks: + # - boot: true + # auto_delete: true + # initialize_params: + # - disk_size_gb: 1000 + ######### + +working_dir: . +cloud: +applications: +# Point to your app in your Python module +- import_path: serve_deepseek_r1:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/Dockerfile b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/Dockerfile new file mode 100644 index 000000000000..a2412390df61 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/Dockerfile @@ -0,0 +1,8 @@ +FROM anyscale/ray:2.49.0-slim-py312-cu128 + +# C compiler for Triton’s runtime build step (vLLM V1 engine) +# https://github.com/vllm-project/vllm/issues/2997 +RUN sudo apt-get update && \ + sudo apt-get install -y --no-install-recommends build-essential + +RUN pip install vllm==0.10.0 \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md new file mode 100644 index 000000000000..b93843b2cc90 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md @@ -0,0 +1,315 @@ +--- +orphan: true +--- + + + +# Deploying a medium size LLM + +A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive. + +This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). + +--- + +## Configure Ray Serve LLM + +You can deploy a medium-sized LLM on a single node with multiple GPUs. To leverage all available GPUs, set `tensor_parallel_size` to the number of GPUs on the node, which distributes the model’s weights evenly across them. + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + +Set your Hugging Face token in the config file to access gated models like `Llama-3.1`. + + +```python +# serve_llama_3_1_70b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-llama-3.1-70b", + # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model + model_source="meta-llama/Llama-3.1-70B-Instruct", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=4, + ) + ), + ### If your model is not gated, you can skip `hf_token` + # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3. + # Type `export HF_TOKEN=` in a terminal + runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + max_model_len=32768, + # Split weights among 8 GPUs in the node + tensor_parallel_size=8, + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. + +**Note: **Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama model approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +--- + +### Launch + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_llama_3_1_70b.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_llama_3_1_70b:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +--- + +### Send requests + +Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. + +Example curl: + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Authorization: Bearer FAKE_KEY" \ + -H "Content-Type: application/json" \ + -d '{ \ + "model": "my-llama-3.1-70b", \ + "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ + }' +``` + +Example Python: + + +```python +#client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-llama-3.1-70b", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) +``` + + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale services + +For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates. + +--- + +### Launch the service + +Anyscale provides out-of-the-box images (`anyscale/ray-llm`), which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image. + +Create your Anyscale service configuration in a new `service.yaml` file: +```yaml +#service.yaml +name: deploy-llama-3-70b +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 +compute_config: + auto_select_worker_config: true +working_dir: . +cloud: +applications: +# Point to your app in your Python module +- import_path: serve_llama_3_1_70b:app +``` + +Deploy your service. Make sure you forward your Hugging Face token to the command. + + +```bash +%%bash +anyscale service deploy -f service.yaml --env HF_TOKEN= +``` + +**Custom Dockerfile** +You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`): + +```yaml +# service.yaml +# Replace: +# image_uri: anyscale/ray-llm:2.49.0-py311-cu128 + +# with: +containerfile: ./Dockerfile +``` + +See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes. + +--- + +### Send requests + +The `anyscale service deploy` command output shows both the endpoint and authentication token: +```console +(anyscale +3.9s) curl -H "Authorization: Bearer " +``` +You can also retrieve both from the service page in the Anyscale console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. + +--- + +### Access the Serve LLM dashboard + +See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM dashboard from an Anyscale service: +1. In the Anyscale console, go to your **Service** or **Workspace** +2. Navigate to the **Metrics** tab +3. Click **View in Grafana** and click **Serve LLM Dashboard** + +--- + +### Shutdown + +Shutdown your Anyscale service: + + +```bash +%%bash +anyscale service terminate -n deploy-llama-3-70b +``` + + +--- + +## Enable LLM monitoring + +The *Serve LLM Dashboard* offers deep visibility into model performance, latency, and system behavior, including: + +* Token throughput (tokens/sec). +* Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT). +* KV cache utilization. + +To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: "1"`. +**Note:** `VLLM_USE_V1: "1"` is the default value with `ray >= 2.48.0` and can be omitted. +```yaml +applications: +- ... + args: + llm_configs: + - ... + runtime_env: + env_vars: + VLLM_USE_V1: "1" + ... + log_engine_metrics: true +``` + +--- + +## Improve concurrency + +Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/latest/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. + +Example log: +```console +INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 13.02x +``` + +The following are a few ways to improve concurrency depending on your model and hardware: + +**Reduce `max_model_len`** +Lowering `max_model_len` reduces the memory needed for KV cache. + +**Example:** Running Llama-3.1-70 B on an A100-40G: +* `max_model_len = 32,768` → concurrency ≈ 13 +* `max_model_len = 16,384` → concurrency ≈ 26 + +**Use Quantized models** +Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests. + +**Use pipeline parallelism** +If a single node isn't enough to handle your workload, consider distributing the model's layers across multiple nodes with `pipeline_parallel_size > 1`. + +**Upgrade to GPUs with more memory** +Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. + +**Scale with more replicas** +In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +```yaml +deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 4 +``` + +*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).* + +--- + +## Troubleshooting + +**Hugging Face auth errors** +Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access. + +**Out-of-memory errors** +Out-of-memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes and context length increase. +See this [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them. + +--- + +## Summary + +In this tutorial, you deployed a medium-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and send requests. You also learned how to monitor your app and troubleshoot common issues. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py new file mode 100644 index 000000000000..4f51d2f67a46 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py @@ -0,0 +1,19 @@ +# client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-llama-3.1-70b", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True, +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb new file mode 100644 index 000000000000..40d49aa0a749 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb @@ -0,0 +1,407 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f8f6fcbd", + "metadata": {}, + "source": [ + "# Deploying a medium size LLM\n", + "\n", + "A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive.\n", + "\n", + "This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "You can deploy a medium-sized LLM on a single node with multiple GPUs. To leverage all available GPUs, set `tensor_parallel_size` to the number of GPUs on the node, which distributes the model’s weights evenly across them.\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object.\n", + "\n", + "Set your Hugging Face token in the config file to access gated models like `Llama-3.1`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d185d580", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_llama_3_1_70b.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "import os\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-llama-3.1-70b\",\n", + " # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model\n", + " model_source=\"meta-llama/Llama-3.1-70B-Instruct\",\n", + " ),\n", + " accelerator_type=\"A100-40G\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=4,\n", + " )\n", + " ),\n", + " ### If your model is not gated, you can skip `hf_token`\n", + " # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3.\n", + " # Type `export HF_TOKEN=` in a terminal\n", + " runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(\n", + " max_model_len=32768,\n", + " # Split weights among 8 GPUs in the node\n", + " tensor_parallel_size=8,\n", + " ),\n", + ")\n", + "\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "6b2231a5", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "\n", + "**Note: **Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama model approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "---\n", + "\n", + "### Launch\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_llama_3_1_70b.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae9da12c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_llama_3_1_70b:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "96d18e22", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "---\n", + "\n", + "### Send requests\n", + "\n", + "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", + "\n", + "Example curl:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1dd345c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-llama-3.1-70b\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "dca5e4fd", + "metadata": {}, + "source": [ + "Example Python:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "584f01f7", + "metadata": {}, + "outputs": [], + "source": [ + "#client.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-llama-3.1-70b\",\n", + " messages=[{\"role\": \"user\", \"content\": \"Tell me a joke\"}],\n", + " stream=True\n", + ")\n", + "\n", + "for chunk in response:\n", + " content = chunk.choices[0].delta.content\n", + " if content:\n", + " print(content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "1a5fd1fb", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "### Shutdown\n", + "\n", + "Shutdown your LLM service: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1c03cdb9", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "dc223463", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale services\n", + "\n", + "For production deployment, use Anyscale services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "---\n", + "\n", + "### Launch the service\n", + "\n", + "Anyscale provides out-of-the-box images (`anyscale/ray-llm`), which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image.\n", + "\n", + "Create your Anyscale service configuration in a new `service.yaml` file:\n", + "```yaml\n", + "#service.yaml\n", + "name: deploy-llama-3-70b\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "compute_config:\n", + " auto_select_worker_config: true \n", + "working_dir: .\n", + "cloud:\n", + "applications:\n", + "# Point to your app in your Python module\n", + "- import_path: serve_llama_3_1_70b:app\n", + "```\n", + "\n", + "Deploy your service. Make sure you forward your Hugging Face token to the command." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa1c6108", + "metadata": { + "pygments_lexer": "bash" + }, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service deploy -f service.yaml --env HF_TOKEN=" + ] + }, + { + "cell_type": "markdown", + "id": "18226fd7", + "metadata": {}, + "source": [ + "**Custom Dockerfile** \n", + "You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`):\n", + "\n", + "```yaml\n", + "# service.yaml\n", + "# Replace:\n", + "# image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "\n", + "# with:\n", + "containerfile: ./Dockerfile\n", + "```\n", + "\n", + "See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes.\n", + "\n", + "---\n", + "\n", + "### Send requests \n", + "\n", + "The `anyscale service deploy` command output shows both the endpoint and authentication token:\n", + "```console\n", + "(anyscale +3.9s) curl -H \"Authorization: Bearer \" \n", + "```\n", + "You can also retrieve both from the service page in the Anyscale console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. \n", + "\n", + "---\n", + "\n", + "### Access the Serve LLM dashboard\n", + "\n", + "See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM dashboard from an Anyscale service:\n", + "1. In the Anyscale console, go to your **Service** or **Workspace**\n", + "2. Navigate to the **Metrics** tab\n", + "3. Click **View in Grafana** and click **Serve LLM Dashboard**\n", + "\n", + "---\n", + "\n", + "### Shutdown \n", + " \n", + "Shutdown your Anyscale service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "211d5baf", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service terminate -n deploy-llama-3-70b" + ] + }, + { + "cell_type": "markdown", + "id": "1d8fba49", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Enable LLM monitoring\n", + "\n", + "The *Serve LLM Dashboard* offers deep visibility into model performance, latency, and system behavior, including:\n", + "\n", + "* Token throughput (tokens/sec).\n", + "* Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT).\n", + "* KV cache utilization.\n", + "\n", + "To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: \"1\"`. \n", + "**Note:** `VLLM_USE_V1: \"1\"` is the default value with `ray >= 2.48.0` and can be omitted.\n", + "```yaml\n", + "applications:\n", + "- ...\n", + " args:\n", + " llm_configs:\n", + " - ...\n", + " runtime_env:\n", + " env_vars:\n", + " VLLM_USE_V1: \"1\"\n", + " ...\n", + " log_engine_metrics: true\n", + "```\n", + "\n", + "---\n", + "\n", + "## Improve concurrency\n", + "\n", + "Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/latest/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. \n", + "\n", + "Example log:\n", + "```console\n", + "INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 13.02x\n", + "```\n", + "\n", + "The following are a few ways to improve concurrency depending on your model and hardware: \n", + "\n", + "**Reduce `max_model_len`** \n", + "Lowering `max_model_len` reduces the memory needed for KV cache.\n", + "\n", + "**Example:** Running Llama-3.1-70 B on an A100-40G:\n", + "* `max_model_len = 32,768` → concurrency ≈ 13\n", + "* `max_model_len = 16,384` → concurrency ≈ 26\n", + "\n", + "**Use Quantized models** \n", + "Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests.\n", + "\n", + "**Use pipeline parallelism** \n", + "If a single node isn't enough to handle your workload, consider distributing the model's layers across multiple nodes with `pipeline_parallel_size > 1`.\n", + "\n", + "**Upgrade to GPUs with more memory** \n", + "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", + "\n", + "**Scale with more replicas** \n", + "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "```yaml\n", + "deployment_config:\n", + " autoscaling_config:\n", + " min_replicas: 1\n", + " max_replicas: 4\n", + "```\n", + "\n", + "*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).*\n", + "\n", + "---\n", + "\n", + "## Troubleshooting\n", + "\n", + "**Hugging Face auth errors** \n", + "Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access.\n", + "\n", + "**Out-of-memory errors** \n", + "Out-of-memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes and context length increase. \n", + "See this [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them.\n", + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a medium-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and send requests. You also learned how to monitor your app and troubleshoot common issues." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py new file mode 100644 index 000000000000..650b4e2d6574 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py @@ -0,0 +1,29 @@ +# serve_llama_3_1_70b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-llama-3.1-70b", + # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model + model_source="meta-llama/Llama-3.1-70B-Instruct", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=4, + ) + ), + ### If your model is not gated, you can skip `hf_token` + # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3. + # Type `export HF_TOKEN=` in a terminal + runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + max_model_len=32768, + # Split weights among 8 GPUs in the node + tensor_parallel_size=8, + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml new file mode 100644 index 000000000000..c3828c619110 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml @@ -0,0 +1,10 @@ +#service.yaml +name: deploy-llama-3-70b +containerfile: ./Dockerfile +compute_config: + auto_select_worker_config: true +working_dir: . +cloud: +applications: +# Point to your app in your Python module +- import_path: serve_llama_3_1_70b:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md new file mode 100644 index 000000000000..dcecf2ae8d0e --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md @@ -0,0 +1,269 @@ +--- +orphan: true +--- + + + +# Deploy a reasoning LLM + +A reasoning LLM handles tasks that require deeper analysis or step-by-step thought. It generates intermediate reasoning before arriving at a final answer, making it better suited for situations where careful logic or structured problem-solving is more important than speed or efficiency. + +This tutorial deploys a reasoning LLM using Ray Serve LLM. + +--- + +## Compare reasoning and non-reasoning models + +Reasoning models simulate step-by-step, structured thought processes to solve complex tasks like math, multi-hop QA, or code generation. In contrast, non-reasoning models provide fast, direct responses and focus on fluency or instruction following without explicit intermediate reasoning. The key distinction lies in whether the model attempts to "think through" the problem before answering. + +| **Model type** | **Core behavior** | **Use case examples** | **Limitation** | +| ----------------------- | ------------------------------------ | -------------------------------------------------------- | ----------------------------------------------------- | +| **Reasoning model** | Explicit multi-step thinking process | Math, coding, logic puzzles, multi-hop QA, CoT prompting | Slower response time, more tokens used. | +| **Non-reasoning model** | Direct answer generation | Casual queries, short instructions, single-step answers | May struggle with complex reasoning or interpretability. | + +Many reasoning-capable models structure their outputs with special markers such as `` tags, or expose reasoning traces inside dedicated fields like `reasoning_content` in the OpenAI API response. Always check the model's documentation for how to structure and control thinking. + +**Note:** Reasoning LLMs often benefit from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning. + +--- + +### Choose when to use reasoning models + +Whether you should use a reasoning model depends on how much information your prompt already provides. + +If your input is clear and complete, a standard model is usually faster and more efficient. If your input is ambiguous or complex, a reasoning model works better because it can work through the problem step by step and fill in gaps through intermediate reasoning. + +--- + +## Parse reasoning outputs + +Reasoning models often separate *reasoning* from the *final answer* using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. + +To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. +**Note:** For example, *QwQ* uses the `deepseek-r1` parser. Other models may require different parsers. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed. + +```yaml +applications: +- name: reasoning-llm-app + ... + args: + llm_configs: + - model_loading_config: + model_id: my-qwq-32B + model_source: Qwen/QwQ-32B + ... + engine_kwargs: + ... + reasoning_parser: deepseek_r1 # <-- for QwQ models +``` + +See [Configure Ray Serve LLM](#configure-ray-serve-llm) for a complete example. + +**Example response** +When using a reasoning parser, the response is typically structured like this: + +```python +ChatCompletionMessage( + content="The temperature is...", + ..., + reasoning_content="Okay, the user is asking for the temperature today and tomorrow..." +) +``` +And you can extract the content and reasoning as follows: +```python +response = client.chat.completions.create( + ... +) + +print(f"Content: {response.choices[0].message.content}") +print(f"Reasoning: {response.choices[0].message.reasoning_content}") +``` + +--- + +## Configure Ray Serve LLM + +Set your Hugging Face token in the config file to access gated models. + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + +Set `tensor_parallel_size=8` to distribute the model's weights among 8 GPUs in the node. + + +```python +# serve_qwq_32b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwq-32B", + model_source="Qwen/QwQ-32B", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + tensor_parallel_size=8, max_model_len=32768, reasoning_parser="deepseek_r1" + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=` + +**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +--- + +### Launch the service + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwq_32b.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_qwq_32b:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +--- + +### Send requests + +Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. + +Example curl: + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Authorization: Bearer FAKE_KEY" \ + -H "Content-Type: application/json" \ + -d '{ \ + "model": "my-qwq-32B", \ + "messages": [{"role": "user", "content": "Pick three random words with 3 syllables each and count the number of R'\''s in each of them"}] \ + }' +``` + +Example python: + + +```python +#client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-qwq-32B", + messages=[ + {"role": "user", "content": "What is the sum of all even numbers between 1 and 100?"} + ] +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") +``` + +If you configure a valid reasoning parser, the reasoning output should appear in the `reasoning_content` field of the response message. Otherwise, it may be included in the main `content` field, typically wrapped in `...` tags. See [Parse reasoning outputs](#parse-reasoning-outputs) for more information. + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale services + +For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium size LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here. + +--- + +## Stream reasoning content + +Reasoning models may take longer to begin generating the main content. You can stream their intermediate reasoning output in the same way as the main content. + + +```python +#client_streaming.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = +base_url = + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwq-32B", + messages=[ + {"role": "user", "content": "I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?"} + ], + stream=True +) + +# Stream +for chunk in response: + # Stream reasoning content + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) +``` + + +--- + +## Summary + +In this tutorial, you deployed a reasoning LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM with the right reasoning parser, deploy your service on your Ray cluster, send requests, and parse reasoning outputs in the response. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py new file mode 100644 index 000000000000..9b5d768acc65 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py @@ -0,0 +1,21 @@ +# client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-qwq-32B", + messages=[ + { + "role": "user", + "content": "What is the sum of all even numbers between 1 and 100?", + } + ], +) + +print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") +print(f"Answer: \n {response.choices[0].message.content}") diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py new file mode 100644 index 000000000000..f5c896593a3c --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py @@ -0,0 +1,33 @@ +# client_streaming.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +# Example: Complex query with thinking process +response = client.chat.completions.create( + model="my-qwq-32B", + messages=[ + { + "role": "user", + "content": "I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?", + } + ], + stream=True, +) + +# Stream +for chunk in response: + # Stream reasoning content + if hasattr(chunk.choices[0].delta, "reasoning_content"): + data_reasoning = chunk.choices[0].delta.reasoning_content + if data_reasoning: + print(data_reasoning, end="", flush=True) + # Later, stream the final answer + if hasattr(chunk.choices[0].delta, "content"): + data_content = chunk.choices[0].delta.content + if data_content: + print(data_content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb new file mode 100644 index 000000000000..938268090be5 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb @@ -0,0 +1,348 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c105c497", + "metadata": {}, + "source": [ + "# Deploy a reasoning LLM\n", + "\n", + "A reasoning LLM handles tasks that require deeper analysis or step-by-step thought. It generates intermediate reasoning before arriving at a final answer, making it better suited for situations where careful logic or structured problem-solving is more important than speed or efficiency.\n", + "\n", + "This tutorial deploys a reasoning LLM using Ray Serve LLM. \n", + "\n", + "---\n", + "\n", + "## Compare reasoning and non-reasoning models\n", + "\n", + "Reasoning models simulate step-by-step, structured thought processes to solve complex tasks like math, multi-hop QA, or code generation. In contrast, non-reasoning models provide fast, direct responses and focus on fluency or instruction following without explicit intermediate reasoning. The key distinction lies in whether the model attempts to \"think through\" the problem before answering.\n", + "\n", + "| **Model type** | **Core behavior** | **Use case examples** | **Limitation** |\n", + "| ----------------------- | ------------------------------------ | -------------------------------------------------------- | ----------------------------------------------------- |\n", + "| **Reasoning model** | Explicit multi-step thinking process | Math, coding, logic puzzles, multi-hop QA, CoT prompting | Slower response time, more tokens used. |\n", + "| **Non-reasoning model** | Direct answer generation | Casual queries, short instructions, single-step answers | May struggle with complex reasoning or interpretability. |\n", + "\n", + "Many reasoning-capable models structure their outputs with special markers such as `` tags, or expose reasoning traces inside dedicated fields like `reasoning_content` in the OpenAI API response. Always check the model's documentation for how to structure and control thinking.\n", + "\n", + "**Note:** Reasoning LLMs often benefit from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning.\n", + "\n", + "---\n", + "\n", + "### Choose when to use reasoning models\n", + "\n", + "Whether you should use a reasoning model depends on how much information your prompt already provides.\n", + "\n", + "If your input is clear and complete, a standard model is usually faster and more efficient. If your input is ambiguous or complex, a reasoning model works better because it can work through the problem step by step and fill in gaps through intermediate reasoning.\n", + "\n", + "---\n", + "\n", + "## Parse reasoning outputs\n", + "\n", + "Reasoning models often separate *reasoning* from the *final answer* using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field.\n", + "\n", + "To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output.\n", + "**Note:** For example, *QwQ* uses the `deepseek-r1` parser. Other models may require different parsers. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed.\n", + "\n", + "```yaml\n", + "applications:\n", + "- name: reasoning-llm-app\n", + " ...\n", + " args:\n", + " llm_configs:\n", + " - model_loading_config:\n", + " model_id: my-qwq-32B\n", + " model_source: Qwen/QwQ-32B\n", + " ...\n", + " engine_kwargs:\n", + " ...\n", + " reasoning_parser: deepseek_r1 # <-- for QwQ models\n", + "```\n", + "\n", + "See [Configure Ray Serve LLM](#configure-ray-serve-llm) for a complete example.\n", + "\n", + "**Example response** \n", + "When using a reasoning parser, the response is typically structured like this:\n", + "\n", + "```python\n", + "ChatCompletionMessage(\n", + " content=\"The temperature is...\",\n", + " ...,\n", + " reasoning_content=\"Okay, the user is asking for the temperature today and tomorrow...\"\n", + ")\n", + "```\n", + "And you can extract the content and reasoning as follows:\n", + "```python\n", + "response = client.chat.completions.create(\n", + " ...\n", + ")\n", + "\n", + "print(f\"Content: {response.choices[0].message.content}\")\n", + "print(f\"Reasoning: {response.choices[0].message.reasoning_content}\")\n", + "```\n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "Set your Hugging Face token in the config file to access gated models.\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object.\n", + "\n", + "Set `tensor_parallel_size=8` to distribute the model's weights among 8 GPUs in the node. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99ae0ed2", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_qwq_32b.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "import os\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-qwq-32B\",\n", + " model_source=\"Qwen/QwQ-32B\",\n", + " ),\n", + " accelerator_type=\"A100-40G\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=2,\n", + " )\n", + " ),\n", + " ### Uncomment if your model is gated and needs your Hugging Face token to access it\n", + " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(\n", + " tensor_parallel_size=8, max_model_len=32768, reasoning_parser=\"deepseek_r1\"\n", + " ),\n", + ")\n", + "\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "d515e268", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`\n", + "\n", + "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "---\n", + "\n", + "### Launch the service\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwq_32b.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6d6a307", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_qwq_32b:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "646f1272", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "---\n", + "\n", + "### Send requests\n", + "\n", + "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", + "\n", + "Example curl:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56a53387", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-qwq-32B\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"Pick three random words with 3 syllables each and count the number of R'\\''s in each of them\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "942e675c", + "metadata": {}, + "source": [ + "Example python:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5005dde7", + "metadata": {}, + "outputs": [], + "source": [ + "#client.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwq-32B\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"What is the sum of all even numbers between 1 and 100?\"}\n", + " ]\n", + ")\n", + "\n", + "print(f\"Reasoning: \\n{response.choices[0].message.reasoning_content}\\n\\n\")\n", + "print(f\"Answer: \\n {response.choices[0].message.content}\")" + ] + }, + { + "cell_type": "markdown", + "id": "5e04db4e", + "metadata": {}, + "source": [ + "If you configure a valid reasoning parser, the reasoning output should appear in the `reasoning_content` field of the response message. Otherwise, it may be included in the main `content` field, typically wrapped in `...` tags. See [Parse reasoning outputs](#parse-reasoning-outputs) for more information.\n", + "\n", + "---\n", + "\n", + "### Shutdown\n", + "\n", + "Shutdown your LLM service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ac1f3edd", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "fdc9e8eb", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale services\n", + "\n", + "For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium size LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here.\n", + "\n", + "---\n", + "\n", + "## Stream reasoning content\n", + "\n", + "Reasoning models may take longer to begin generating the main content. You can stream their intermediate reasoning output in the same way as the main content. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02472f7c", + "metadata": {}, + "outputs": [], + "source": [ + "#client_streaming.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \n", + "base_url = \n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "# Example: Complex query with thinking process\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwq-32B\",\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": \"I need to plan a trip to Paris from Seattle. Can you help me research flight costs, create an itinerary for 3 days, and suggest restaurants based on my dietary restrictions (vegetarian)?\"}\n", + " ],\n", + " stream=True\n", + ")\n", + "\n", + "# Stream\n", + "for chunk in response:\n", + " # Stream reasoning content\n", + " if hasattr(chunk.choices[0].delta, \"reasoning_content\"):\n", + " data_reasoning = chunk.choices[0].delta.reasoning_content\n", + " if data_reasoning:\n", + " print(data_reasoning, end=\"\", flush=True)\n", + " # Later, stream the final answer\n", + " if hasattr(chunk.choices[0].delta, \"content\"):\n", + " data_content = chunk.choices[0].delta.content\n", + " if data_content:\n", + " print(data_content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "70455ea2", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a reasoning LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM with the right reasoning parser, deploy your service on your Ray cluster, send requests, and parse reasoning outputs in the response." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py new file mode 100644 index 000000000000..8c8cda59f8a5 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py @@ -0,0 +1,24 @@ +# serve_qwq_32b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwq-32B", + model_source="Qwen/QwQ-32B", + ), + accelerator_type="A100-40G", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict( + tensor_parallel_size=8, max_model_len=32768, reasoning_parser="deepseek_r1" + ), +) + +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/Dockerfile b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/Dockerfile new file mode 100644 index 000000000000..a2412390df61 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/Dockerfile @@ -0,0 +1,8 @@ +FROM anyscale/ray:2.49.0-slim-py312-cu128 + +# C compiler for Triton’s runtime build step (vLLM V1 engine) +# https://github.com/vllm-project/vllm/issues/2997 +RUN sudo apt-get update && \ + sudo apt-get install -y --no-install-recommends build-essential + +RUN pip install vllm==0.10.0 \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md new file mode 100644 index 000000000000..503abeb49e94 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md @@ -0,0 +1,315 @@ +--- +orphan: true +--- + + + +# Deploy a small size LLM + +A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy. + + +For larger models, see [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). + +--- + +## Configure Ray Serve LLM + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + +Set your Hugging Face token in the config file to access gated models like `Llama-3.1`. + + +```python +# serve_llama_3_1_8b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-llama-3.1-8b", + # Or unsloth/Meta-Llama-3.1-8B-Instruct for an ungated model + model_source="meta-llama/Llama-3.1-8B-Instruct", + ), + accelerator_type="L4", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### If your model isn't gated, you can skip `hf_token` + # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3 + # Type `export HF_TOKEN=` in a terminal + runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict(max_model_len=8192), +) +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. + +**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +--- + +### Launch + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_llama_3_1_8b.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_llama_3_1_8b:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +--- + +### Send requests + +Your endpoint is available locally at `http://localhost:8000`. You can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. + +**Example curl:** + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Authorization: Bearer FAKE_KEY" \ + -H "Content-Type: application/json" \ + -d '{ \ + "model": "my-llama-3.1-8b", \ + "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ + }' +``` + +**Example Python:** + + +```python +#client.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-llama-3.1-8b", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) +``` + + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale Services + +For production deployment, use Anyscale Services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates. + +--- + +### Launch the service + +Anyscale provides out-of-the-box images (`anyscale/ray-llm`) which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image. + +Create your Anyscale Service configuration in a new `service.yaml` file: + +```yaml +# service.yaml +name: deploy-llama-3-8b +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image +compute_config: + auto_select_worker_config: true +working_dir: . +cloud: +applications: + # Point to your app in your Python module + - import_path: serve_llama_3_1_8b:app +``` + + +Deploy your service with the following command. Make sure to forward your Hugging Face token: + + +```bash +%%bash +anyscale service deploy -f service.yaml --env HF_TOKEN= +``` + +**Custom Dockerfile** +You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`): + +```yaml +# service.yaml +# Replace: +# image_uri: anyscale/ray-llm:2.49.0-py311-cu128 + +# with: +containerfile: ./Dockerfile +``` + +See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes. + +--- + +### Send requests + +The `anyscale service deploy` command output shows both the endpoint and authentication token: +```console +(anyscale +3.9s) curl -H "Authorization: Bearer " +``` +You can also retrieve both from the service page in the Anyscale Console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. + +--- + +### Access the Serve LLM dashboard + +See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM Dashboard from an Anyscale Service: +1. In the Anyscale console, go to your **Service** or **Workspace**. +2. Navigate to the **Metrics** tab. +3. Expand **View in Grafana** and click **Serve LLM Dashboard**. + +--- + +### Shutdown + +Shutdown your Anyscale Service: + + +```bash +%%bash +anyscale service terminate -n deploy-llama-3-8b +``` + + +--- + +## Enable LLM monitoring + +The *Serve LLM Dashboard* offers deep visibility into model performance, latency, and system behavior, including: + +- Token throughput (tokens/sec). +- Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT). +- KV cache utilization. + +To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: "1"`. + +**Note:** `VLLM_USE_V1: "1"` is the default value with `ray >= 2.48.0` and can be omitted. +```yaml +applications: +- ... + args: + llm_configs: + - ... + runtime_env: + env_vars: + VLLM_USE_V1: "1" + ... + log_engine_metrics: true +``` + +--- + +## Improve concurrency + +Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. + +Example log: +```console +INFO 08-06 20:15:53 [executor_base.py:118] Maximum concurrency for 8192 tokens per request: 3.53x +``` + +You can improve concurrency depending on your model and hardware in several ways: + +**Reduce `max_model_len`** +Lowering `max_model_len` reduces the memory needed for KV cache. + +**Example:** Running *llama-3.1-8 B* on an A10G or L4 GPU: +- `max_model_len = 8192` → concurrency ≈ 3.5 +- `max_model_len = 4096` → concurrency ≈ 7 + +**Use Quantized Models** +Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests. + +**Use Tensor Parallelism** +Distribute the model across multiple GPUs with `tensor_parallel_size > 1`. + +**Note:** Latency may rise if GPUs don’t have strong GPU interconnect like NVLink. + +**Upgrade to GPUs with more memory** +Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. + +**Scale with more Replicas** +In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +```yaml +deployment_config: + autoscaling_config: + min_replicas: 1 + max_replicas: 4 +``` + +*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).* + +--- + +## Troubleshooting + +**Hugging Face authentication errors** +Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access. + +**Out-of-memory errors** +Out-of-memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes and context length increase. +See this [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them. + +--- + +## Summary + +In this tutorial, you deployed a small size LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py new file mode 100644 index 000000000000..25025a73dbcf --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py @@ -0,0 +1,18 @@ +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-llama-3.1-8b", + messages=[{"role": "user", "content": "Tell me a joke"}], + stream=True, +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb new file mode 100644 index 000000000000..09dfb2206b82 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb @@ -0,0 +1,407 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6a51548b", + "metadata": {}, + "source": [ + "# Deploy a small size LLM\n", + "\n", + "A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy.\n", + "\n", + "\n", + "For larger models, see [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object.\n", + "\n", + "Set your Hugging Face token in the config file to access gated models like `Llama-3.1`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e555ca3f", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_llama_3_1_8b.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "import os\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-llama-3.1-8b\",\n", + " # Or unsloth/Meta-Llama-3.1-8B-Instruct for an ungated model\n", + " model_source=\"meta-llama/Llama-3.1-8B-Instruct\",\n", + " ),\n", + " accelerator_type=\"L4\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=2,\n", + " )\n", + " ),\n", + " ### If your model isn't gated, you can skip `hf_token`\n", + " # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3\n", + " # Type `export HF_TOKEN=` in a terminal\n", + " runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(max_model_len=8192),\n", + ")\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "b17a7140", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "\n", + "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "---\n", + "\n", + "### Launch\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_llama_3_1_8b.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbdb0921", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_llama_3_1_8b:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "df944967", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "---\n", + "\n", + "### Send requests\n", + "\n", + "Your endpoint is available locally at `http://localhost:8000`. You can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", + "\n", + "**Example curl:**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5309437", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-llama-3.1-8b\", \\\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "d623a30f", + "metadata": {}, + "source": [ + "**Example Python:**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75bedc22", + "metadata": {}, + "outputs": [], + "source": [ + "#client.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-llama-3.1-8b\",\n", + " messages=[{\"role\": \"user\", \"content\": \"Tell me a joke\"}],\n", + " stream=True\n", + ")\n", + "\n", + "for chunk in response:\n", + " content = chunk.choices[0].delta.content\n", + " if content:\n", + " print(content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "b095ebf3", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "### Shutdown\n", + "\n", + "Shutdown your LLM service: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4fd3dacf", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "fb81fa41", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale Services\n", + "\n", + "For production deployment, use Anyscale Services to deploy the Ray Serve app to a dedicated cluster without modifying the code. Anyscale ensures scalability, fault tolerance, and load balancing, keeping the service resilient against node failures, high traffic, and rolling updates.\n", + "\n", + "---\n", + "\n", + "### Launch the service\n", + "\n", + "Anyscale provides out-of-the-box images (`anyscale/ray-llm`) which come pre-loaded with Ray Serve LLM, vLLM, and all required GPU/runtime dependencies. This makes it easy to get started without building a custom image.\n", + "\n", + "Create your Anyscale Service configuration in a new `service.yaml` file:\n", + "\n", + "```yaml\n", + "# service.yaml\n", + "name: deploy-llama-3-8b\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image\n", + "compute_config:\n", + " auto_select_worker_config: true \n", + "working_dir: .\n", + "cloud:\n", + "applications:\n", + " # Point to your app in your Python module\n", + " - import_path: serve_llama_3_1_8b:app\n", + "```\n", + "\n", + "\n", + "Deploy your service with the following command. Make sure to forward your Hugging Face token:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66b3b53a", + "metadata": { + "pygments_lexer": "bash" + }, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service deploy -f service.yaml --env HF_TOKEN=" + ] + }, + { + "cell_type": "markdown", + "id": "7e6de36c", + "metadata": {}, + "source": [ + "**Custom Dockerfile** \n", + "You can customize the container by building your own Dockerfile. In your Anyscale Service config, reference the Dockerfile with `containerfile` (instead of `image_uri`):\n", + "\n", + "```yaml\n", + "# service.yaml\n", + "# Replace:\n", + "# image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "\n", + "# with:\n", + "containerfile: ./Dockerfile\n", + "```\n", + "\n", + "See the [Anyscale base images](https://docs.anyscale.com/reference/base-images) for details on what each image includes.\n", + "\n", + "---\n", + "\n", + "### Send requests \n", + "\n", + "The `anyscale service deploy` command output shows both the endpoint and authentication token:\n", + "```console\n", + "(anyscale +3.9s) curl -H \"Authorization: Bearer \" \n", + "```\n", + "You can also retrieve both from the service page in the Anyscale Console. Click the **Query** button at the top. See [Send requests](#send-requests) for example requests, but make sure to use the correct endpoint and authentication token. \n", + "\n", + "---\n", + "\n", + "### Access the Serve LLM dashboard\n", + "\n", + "See [Enable LLM monitoring](#enable-llm-monitoring) for instructions on enabling LLM-specific logging. To open the Ray Serve LLM Dashboard from an Anyscale Service:\n", + "1. In the Anyscale console, go to your **Service** or **Workspace**.\n", + "2. Navigate to the **Metrics** tab.\n", + "3. Expand **View in Grafana** and click **Serve LLM Dashboard**.\n", + "\n", + "---\n", + "\n", + "### Shutdown\n", + "\n", + "Shutdown your Anyscale Service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "474b2764", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "anyscale service terminate -n deploy-llama-3-8b" + ] + }, + { + "cell_type": "markdown", + "id": "49f67c39", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Enable LLM monitoring\n", + "\n", + "The *Serve LLM Dashboard* offers deep visibility into model performance, latency, and system behavior, including:\n", + "\n", + "- Token throughput (tokens/sec).\n", + "- Latency metrics: Time To First Token (TTFT), Time Per Output Token (TPOT).\n", + "- KV cache utilization.\n", + "\n", + "To enable these metrics, go to your LLM config and set `log_engine_metrics: true`. Ensure vLLM V1 is active with `VLLM_USE_V1: \"1\"`.\n", + "\n", + "**Note:** `VLLM_USE_V1: \"1\"` is the default value with `ray >= 2.48.0` and can be omitted.\n", + "```yaml\n", + "applications:\n", + "- ...\n", + " args:\n", + " llm_configs:\n", + " - ...\n", + " runtime_env:\n", + " env_vars:\n", + " VLLM_USE_V1: \"1\"\n", + " ...\n", + " log_engine_metrics: true\n", + "```\n", + "\n", + "---\n", + "\n", + "## Improve concurrency\n", + "\n", + "Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration.\n", + "\n", + "Example log:\n", + "```console\n", + "INFO 08-06 20:15:53 [executor_base.py:118] Maximum concurrency for 8192 tokens per request: 3.53x\n", + "```\n", + "\n", + "You can improve concurrency depending on your model and hardware in several ways: \n", + "\n", + "**Reduce `max_model_len`** \n", + "Lowering `max_model_len` reduces the memory needed for KV cache.\n", + "\n", + "**Example:** Running *llama-3.1-8 B* on an A10G or L4 GPU:\n", + "- `max_model_len = 8192` → concurrency ≈ 3.5\n", + "- `max_model_len = 4096` → concurrency ≈ 7\n", + "\n", + "**Use Quantized Models** \n", + "Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests.\n", + "\n", + "**Use Tensor Parallelism** \n", + "Distribute the model across multiple GPUs with `tensor_parallel_size > 1`.\n", + "\n", + "**Note:** Latency may rise if GPUs don’t have strong GPU interconnect like NVLink.\n", + "\n", + "**Upgrade to GPUs with more memory** \n", + "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", + "\n", + "**Scale with more Replicas** \n", + "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "```yaml\n", + "deployment_config:\n", + " autoscaling_config:\n", + " min_replicas: 1\n", + " max_replicas: 4\n", + "```\n", + "\n", + "*For more details on tuning strategies, hardware guidance, and serving configurations, see [Choose a GPU for LLM serving](https://docs.anyscale.com/llm/serving/gpu-guidance) and [Tune parameters for LLMs on Anyscale services](https://docs.anyscale.com/llm/serving/parameter-tuning).*\n", + "\n", + "---\n", + "\n", + "## Troubleshooting\n", + "\n", + "**Hugging Face authentication errors** \n", + "Some models, such as Llama-3.1, are gated and require prior authorization from the organization. See your model’s documentation for instructions on obtaining access.\n", + "\n", + "**Out-of-memory errors** \n", + "Out-of-memory (OOM) errors are one of the most common failure modes when deploying LLMs, especially as model sizes and context length increase. \n", + "See this [Troubleshooting Guide](https://docs.anyscale.com/overview) for common errors and how to fix them.\n", + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a small size LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py new file mode 100644 index 000000000000..c5ed01f7b304 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py @@ -0,0 +1,24 @@ +# serve_llama_3_1_8b.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-llama-3.1-8b", + # Or unsloth/Meta-Llama-3.1-8B-Instruct for an ungated model + model_source="meta-llama/Llama-3.1-8B-Instruct", + ), + accelerator_type="L4", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### If your model isn't gated, you can skip `hf_token` + # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3 + # Type `export HF_TOKEN=` in a terminal + runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict(max_model_len=8192), +) +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml new file mode 100644 index 000000000000..98d3ed37539b --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml @@ -0,0 +1,10 @@ +#service.yaml +name: deploy-llama-3-8b +containerfile: ./Dockerfile +compute_config: + auto_select_worker_config: true +working_dir: . +cloud: +applications: +# Point to your app in your Python module +- import_path: serve_llama_3_1_8b:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md new file mode 100644 index 000000000000..050f7e32904b --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md @@ -0,0 +1,232 @@ +--- +orphan: true +--- + + + +# Deploying a vision LLM + +A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. + +This tutorial deploys a vision LLM using Ray Serve LLM. + +--- + +## Configure Ray Serve LLM + +Make sure to set your Hugging Face token in the config file to access gated models. + +Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object. + + +```python +# serve_qwen_VL.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwen-VL", + model_source="qwen/Qwen2.5-VL-7B-Instruct", + ), + accelerator_type="L40S", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict(max_model_len=8192), +) + +app = build_openai_app({"llm_configs": [llm_config]}) + +``` + +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. + +--- + +## Deploy locally + +**Prerequisites** + +* Access to GPU compute. +* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=` + +**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. + +**Dependencies:** +```bash +pip install "ray[serve,llm]" +``` + +--- + +### Launch + +Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwen_VL.py`. + +In a terminal, run: + + +```bash +%%bash +serve run serve_qwen_VL:app --non-blocking +``` + +Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. + +--- + +### Sending requests with images + +Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. + +Example cURL with image URL + + +```bash +%%bash +curl -X POST http://localhost:8000/v1/chat/completions \ + -H "Authorization: Bearer FAKE_KEY" \ + -H "Content-Type: application/json" \ + -d '{ \ + "model": "my-qwen-VL", \ + "messages": [ \ + { \ + "role": "user", \ + "content": [ \ + {"type": "text", "text": "What do you see in this image?"}, \ + {"type": "image_url", "image_url": { \ + "url": "http://images.cocodataset.org/val2017/000000039769.jpg" \ + }} \ + ] \ + } \ + ] \ + }' +``` + +Example Python with image URL: + + +```python +#client_url_image.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-qwen-VL", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What is in this image?"}, + {"type": "image_url", "image_url": {"url": "http://images.cocodataset.org/val2017/000000039769.jpg"}} + ] + } + ], + temperature=0.5, + stream=True +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) +``` + +Example Python with local image: + + +```python +#client_local_image.py +from urllib.parse import urljoin +import base64 +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +### From an image locally saved as `example.jpg` +# Load and encode image as base64 +with open("example.jpg", "rb") as f: + img_base64 = base64.b64encode(f.read()).decode() + +response = client.chat.completions.create( + model="my-qwen-VL", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What is in this image?"}, + {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img_base64}"}} + ] + } + ], + temperature=0.5, + stream=True +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) +``` + + +--- + +### Shutdown + +Shutdown your LLM service: + + +```bash +%%bash +serve shutdown -y +``` + + +--- + +## Deploy to production with Anyscale services + +For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial. + +--- + +## Limiting images per prompt + +Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine. You can configure vLLM by passing parameters through the `engine_kwargs` section of your Serve LLM configuration. For a full list of supported options, see the [vLLM documentation](https://docs.vllm.ai/en/stable/configuration/engine_args.html#multimodalconfig). + +In particular, you can limit the number of images per request by setting `limit_mm_per_prompt` in your configuration. +```yaml +applications: +- ... + args: + llm_configs: + ... + engine_kwargs: + ... + limit_mm_per_prompt: {"image": 3} +``` + +--- + +## Summary + +In this tutorial, you deployed a vision LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and send requests with images. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py new file mode 100644 index 000000000000..14cfcb2c9f0a --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py @@ -0,0 +1,37 @@ +# client_local_image.py +from urllib.parse import urljoin +import base64 +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +### From an image locally saved as `example.jpg` +# Load and encode image as base64 +with open("example.jpg", "rb") as f: + img_base64 = base64.b64encode(f.read()).decode() + +response = client.chat.completions.create( + model="my-qwen-VL", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What is in this image?"}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{img_base64}"}, + }, + ], + } + ], + temperature=0.5, + stream=True, +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py new file mode 100644 index 000000000000..c976e460f2dc --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py @@ -0,0 +1,33 @@ +# client_url_image.py +from urllib.parse import urljoin +from openai import OpenAI + +api_key = "FAKE_KEY" +base_url = "http://localhost:8000" + +client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) + +response = client.chat.completions.create( + model="my-qwen-VL", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What is in this image?"}, + { + "type": "image_url", + "image_url": { + "url": "http://images.cocodataset.org/val2017/000000039769.jpg" + }, + }, + ], + } + ], + temperature=0.5, + stream=True, +) + +for chunk in response: + content = chunk.choices[0].delta.content + if content: + print(content, end="", flush=True) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb new file mode 100644 index 000000000000..e978985f0aa0 --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb @@ -0,0 +1,311 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "23243c2e", + "metadata": {}, + "source": [ + "# Deploying a vision LLM\n", + "\n", + "A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. \n", + "\n", + "This tutorial deploys a vision LLM using Ray Serve LLM. \n", + "\n", + "---\n", + "\n", + "## Configure Ray Serve LLM\n", + "\n", + "Make sure to set your Hugging Face token in the config file to access gated models.\n", + "\n", + "Ray Serve LLM provides multiple [Python APIs](https://docs.ray.io/en/latest/serve/api/index.html#llm-api) for defining your application. Use [`build_openai_app`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.build_openai_app.html#ray.serve.llm.build_openai_app) to build a full application from your [`LLMConfig`](https://docs.ray.io/en/latest/serve/api/doc/ray.serve.llm.LLMConfig.html#ray.serve.llm.LLMConfig) object." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ebc41d60", + "metadata": {}, + "outputs": [], + "source": [ + "# serve_qwen_VL.py\n", + "from ray.serve.llm import LLMConfig, build_openai_app\n", + "import os\n", + "\n", + "llm_config = LLMConfig(\n", + " model_loading_config=dict(\n", + " model_id=\"my-qwen-VL\",\n", + " model_source=\"qwen/Qwen2.5-VL-7B-Instruct\",\n", + " ),\n", + " accelerator_type=\"L40S\",\n", + " deployment_config=dict(\n", + " autoscaling_config=dict(\n", + " min_replicas=1,\n", + " max_replicas=2,\n", + " )\n", + " ),\n", + " ### Uncomment if your model is gated and needs your Hugging Face token to access it.\n", + " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", + " engine_kwargs=dict(max_model_len=8192),\n", + ")\n", + "\n", + "app = build_openai_app({\"llm_configs\": [llm_config]})\n" + ] + }, + { + "cell_type": "markdown", + "id": "c76a6362", + "metadata": {}, + "source": [ + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "\n", + "---\n", + "\n", + "## Deploy locally\n", + "\n", + "**Prerequisites**\n", + "\n", + "* Access to GPU compute.\n", + "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`\n", + "\n", + "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", + "\n", + "**Dependencies:** \n", + "```bash\n", + "pip install \"ray[serve,llm]\"\n", + "```\n", + "\n", + "---\n", + "\n", + "### Launch\n", + "\n", + "Follow the instructions at [Configure Ray Serve LLM](#configure-ray-serve-llm) to define your app in a Python module `serve_qwen_VL.py`. \n", + "\n", + "In a terminal, run: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7eb8734c", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve run serve_qwen_VL:app --non-blocking" + ] + }, + { + "cell_type": "markdown", + "id": "d36f41d1", + "metadata": {}, + "source": [ + "Deployment typically takes a few minutes as the cluster is provisioned, the vLLM server starts, and the model is downloaded. \n", + "\n", + "---\n", + "\n", + "### Sending requests with images\n", + "\n", + "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", + "\n", + "Example cURL with image URL" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "400e7790", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "curl -X POST http://localhost:8000/v1/chat/completions \\\n", + " -H \"Authorization: Bearer FAKE_KEY\" \\\n", + " -H \"Content-Type: application/json\" \\\n", + " -d '{ \\\n", + " \"model\": \"my-qwen-VL\", \\\n", + " \"messages\": [ \\\n", + " { \\\n", + " \"role\": \"user\", \\\n", + " \"content\": [ \\\n", + " {\"type\": \"text\", \"text\": \"What do you see in this image?\"}, \\\n", + " {\"type\": \"image_url\", \"image_url\": { \\\n", + " \"url\": \"http://images.cocodataset.org/val2017/000000039769.jpg\" \\\n", + " }} \\\n", + " ] \\\n", + " } \\\n", + " ] \\\n", + " }'" + ] + }, + { + "cell_type": "markdown", + "id": "291743a5", + "metadata": {}, + "source": [ + "Example Python with image URL:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b447094", + "metadata": {}, + "outputs": [], + "source": [ + "#client_url_image.py\n", + "from urllib.parse import urljoin\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-VL\",\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\"type\": \"text\", \"text\": \"What is in this image?\"},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": \"http://images.cocodataset.org/val2017/000000039769.jpg\"}}\n", + " ]\n", + " }\n", + " ],\n", + " temperature=0.5,\n", + " stream=True\n", + ")\n", + "\n", + "for chunk in response:\n", + " content = chunk.choices[0].delta.content\n", + " if content:\n", + " print(content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "811f1d41", + "metadata": {}, + "source": [ + "Example Python with local image:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8296023b", + "metadata": {}, + "outputs": [], + "source": [ + "#client_local_image.py\n", + "from urllib.parse import urljoin\n", + "import base64\n", + "from openai import OpenAI\n", + "\n", + "api_key = \"FAKE_KEY\"\n", + "base_url = \"http://localhost:8000\"\n", + "\n", + "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "\n", + "### From an image locally saved as `example.jpg`\n", + "# Load and encode image as base64\n", + "with open(\"example.jpg\", \"rb\") as f:\n", + " img_base64 = base64.b64encode(f.read()).decode()\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"my-qwen-VL\",\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\"type\": \"text\", \"text\": \"What is in this image?\"},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/jpeg;base64,{img_base64}\"}}\n", + " ]\n", + " }\n", + " ],\n", + " temperature=0.5,\n", + " stream=True\n", + ")\n", + "\n", + "for chunk in response:\n", + " content = chunk.choices[0].delta.content\n", + " if content:\n", + " print(content, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "ccc60c1f", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "### Shutdown \n", + "\n", + "Shutdown your LLM service:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0ee4b879", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "serve shutdown -y" + ] + }, + { + "cell_type": "markdown", + "id": "a94c0307", + "metadata": {}, + "source": [ + "\n", + "---\n", + "\n", + "## Deploy to production with Anyscale services\n", + "\n", + "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial.\n", + "\n", + "---\n", + "\n", + "## Limiting images per prompt\n", + "\n", + "Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/stable/) as its backend engine. You can configure vLLM by passing parameters through the `engine_kwargs` section of your Serve LLM configuration. For a full list of supported options, see the [vLLM documentation](https://docs.vllm.ai/en/stable/configuration/engine_args.html#multimodalconfig). \n", + "\n", + "In particular, you can limit the number of images per request by setting `limit_mm_per_prompt` in your configuration. \n", + "```yaml\n", + "applications:\n", + "- ...\n", + " args:\n", + " llm_configs:\n", + " ...\n", + " engine_kwargs:\n", + " ...\n", + " limit_mm_per_prompt: {\"image\": 3}\n", + "```\n", + "\n", + "---\n", + "\n", + "## Summary\n", + "\n", + "In this tutorial, you deployed a vision LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and send requests with images." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "repo_ray_docs", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py new file mode 100644 index 000000000000..d1239439700a --- /dev/null +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py @@ -0,0 +1,22 @@ +# serve_qwen_VL.py +from ray.serve.llm import LLMConfig, build_openai_app +import os + +llm_config = LLMConfig( + model_loading_config=dict( + model_id="my-qwen-VL", + model_source="qwen/Qwen2.5-VL-7B-Instruct", + ), + accelerator_type="L40S", + deployment_config=dict( + autoscaling_config=dict( + min_replicas=1, + max_replicas=2, + ) + ), + ### Uncomment if your model is gated and needs your Hugging Face token to access it. + # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), + engine_kwargs=dict(max_model_len=8192), +) + +app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 79c3720d6e9b..705d230a9c32 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -309,6 +309,7 @@ py_library( ]) + [ "ray_release/buildkite/aws_instance_types.csv", "ray_release/schema.json", + "//doc:deployment_serve_llm_example_configs", "//doc:example_configs", "//doc/source/train/examples/pytorch/distributing-pytorch/ci:ci_yamls", ], diff --git a/release/ray_release/byod/byod_deployment_serve_llm.sh b/release/ray_release/byod/byod_deployment_serve_llm.sh new file mode 100755 index 000000000000..ef7e19de90b6 --- /dev/null +++ b/release/ray_release/byod/byod_deployment_serve_llm.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +set -exo pipefail diff --git a/release/release_tests.yaml b/release/release_tests.yaml index b124ef316c81..1c7932f46d7d 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4791,6 +4791,33 @@ cluster: cluster_compute: ci/gce.yaml # relative to working_dir + +- name: deployment_serve_llm # do not use dashes (regex sensitive) + frequency: weekly + python: "3.11" + group: ray-examples + team: ml + working_dir: //doc/source/serve/tutorials/deployment-serve-llm # use // to access from repo's root + + cluster: + byod: + type: llm-cu128 # anyscale/ray-llm:-py311-cu128 + post_build_script: byod_deployment_serve_llm.sh # release/ray_release/byod/ + cluster_compute: ci/aws.yaml # relative to working_dir + + run: + timeout: 3600 + script: bash ci/tests.sh # relative to working_dir + + variations: + - __suffix__: aws # uses default specs above + - __suffix__: gce + env: gce + frequency: manual + cluster: + cluster_compute: ci/gce.yaml # relative to working_dir + + - name: distributing_pytorch # do not use dashes (regex sensitive) frequency: weekly group: ray-examples From 5ba12e81fe6ac13aaebef2b29cbb3c618dd5896a Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Thu, 4 Sep 2025 13:43:41 -0400 Subject: [PATCH 1036/1566] stable links for Ray serve (#56241) Signed-off-by: Douglas Strodtman --- doc/source/serve/production-guide/config.md | 26 ++++++++++++++++++++- 1 file changed, 25 insertions(+), 1 deletion(-) diff --git a/doc/source/serve/production-guide/config.md b/doc/source/serve/production-guide/config.md index 8906d39894f0..fa5eff346fe5 100644 --- a/doc/source/serve/production-guide/config.md +++ b/doc/source/serve/production-guide/config.md @@ -51,11 +51,19 @@ applications: The file contains `proxy_location`, `http_options`, `grpc_options`, `logging_config` and `applications`. +(proxy-config)= + +## Proxy config + The `proxy_location` field configures where to run proxies to handle traffic to the cluster. You can set `proxy_location` to the following values: - EveryNode (default): Run a proxy on every node in the cluster that has at least one replica actor. - HeadOnly: Only run a single proxy on the head node. - Disabled: Don't run proxies at all. Set this value if you are only making calls to your applications using deployment handles. +(http-config)= + +## HTTP config + The `http_options` are as follows. Note that the HTTP config is global to your Ray cluster, and you can't update it during runtime. - **`host`**: The host IP address for Serve's HTTP proxies. This is optional and can be omitted. By default, the `host` is set to `0.0.0.0` to expose your deployments publicly. If you're using Kubernetes, you must set `host` to `0.0.0.0` to expose your deployments outside the cluster. @@ -63,15 +71,29 @@ The `http_options` are as follows. Note that the HTTP config is global to your R - **`request_timeout_s`**: Allows you to set the end-to-end timeout for a request before terminating and retrying at another replica. By default, there is no request timeout. - **`keep_alive_timeout_s`**: Allows you to set the keep alive timeout for the HTTP proxy. For more details, see [here](serve-http-guide-keep-alive-timeout) +(grpc-config)= + +## gRPC config + The `grpc_options` are as follows. Note that the gRPC config is global to your Ray cluster, and you can't update it during runtime. - **`port`**: The port that the gRPC proxies listen on. These are optional settings and can be omitted. By default, the port is set to `9000`. - **`grpc_servicer_functions`**: List of import paths for gRPC `add_servicer_to_server` functions to add to Serve's gRPC proxy. The servicer functions need to be importable from the context of where Serve is running. This defaults to an empty list, which means the gRPC server isn't started. - **`request_timeout_s`**: Allows you to set the end-to-end timeout for a request before terminating and retrying at another replica. By default, there is no request timeout. +(logging-config)= + +## Logging config + The `logging_config` is global config, you can configure controller & proxy & replica logs. Note that you can also set application and deployment level logging config, which will take precedence over the global config. See logging config API [here](../../serve/api/doc/ray.serve.schema.LoggingConfig.rst) for more details. -These are the fields per application: +(application-config)= + +## Application config + +You configure one or more deployments as part of your Serve application. See [deployment config](serve-configure-deployment). + +These are the fields per `application`: - **`name`**: The names for each application that are auto-generated by `serve build`. The name of each application must be unique. - **`route_prefix`**: An application can be called via HTTP at the specified route prefix. It defaults to `/`. The route prefix for each application must be unique. @@ -80,6 +102,8 @@ These are the fields per application: - **`deployments (optional)`**: A list of deployment options that allows you to override the `@serve.deployment` settings specified in the deployment graph code. Each entry in this list must include the deployment `name`, which must match one in the code. If this section is omitted, Serve launches all deployments in the graph with the parameters specified in the code. See how to [configure serve deployment options](serve-configure-deployment). - **`args`**: Arguments that are passed to the [application builder](serve-app-builder-guide). +## Example config + Below is a config for the [`Text ML Model` example](serve-in-production-example) that follows the format explained above: ```yaml From 660122c07e32b57a4ca37451f4bb2f4322239286 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 4 Sep 2025 11:44:59 -0700 Subject: [PATCH 1037/1566] [core][proto] move events_base_event_proto to public (#56212) Move events_base_event_proto to the public proto directory. Will merge and update doc after https://github.com/ray-project/ray/pull/56203. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 2 +- .../tests/gcs_ray_event_converter_test.cc | 2 +- src/ray/protobuf/BUILD.bazel | 21 +------------------ .../events_event_aggregator_service.proto | 2 +- src/ray/protobuf/public/BUILD.bazel | 19 +++++++++++++++++ .../{ => public}/events_base_event.proto | 0 6 files changed, 23 insertions(+), 23 deletions(-) rename src/ray/protobuf/{ => public}/events_base_event.proto (100%) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 228685b90fbb..d7782436ac22 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -74,7 +74,7 @@ # Event filtering configurations # Comma-separated list of event types that are allowed to be exposed to external services # Valid values: TASK_DEFINITION_EVENT, TASK_EXECUTION_EVENT, ACTOR_TASK_DEFINITION_EVENT, ACTOR_TASK_EXECUTION_EVENT -# The list of all supported event types can be found in src/ray/protobuf/events_base_event.proto (EventType enum) +# The list of all supported event types can be found in src/ray/protobuf/public/events_base_event.proto (EventType enum) # By default TASK_PROFILE_EVENT is not exposed to external services DEFAULT_EXPOSABLE_EVENT_TYPES = ( "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT," diff --git a/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc b/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc index 02738c4cce4c..ffffa9ddea0b 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc @@ -19,9 +19,9 @@ #include "gtest/gtest.h" #include "ray/common/id.h" #include "src/ray/protobuf/common.pb.h" -#include "src/ray/protobuf/events_base_event.pb.h" #include "src/ray/protobuf/events_event_aggregator_service.pb.h" #include "src/ray/protobuf/gcs_service.pb.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" namespace ray { namespace gcs { diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 7e89c341b679..5448fa1d071f 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -456,31 +456,12 @@ cc_proto_library( deps = [":events_task_profile_events_proto"], ) -proto_library( - name = "events_base_event_proto", - srcs = ["events_base_event.proto"], - deps = [ - ":events_task_profile_events_proto", - "//src/ray/protobuf/public:events_actor_task_definition_event_proto", - "//src/ray/protobuf/public:events_driver_job_definition_event_proto", - "//src/ray/protobuf/public:events_driver_job_execution_event_proto", - "//src/ray/protobuf/public:events_task_definition_event_proto", - "//src/ray/protobuf/public:events_task_execution_event_proto", - "@com_google_protobuf//:timestamp_proto", - ], -) - -cc_proto_library( - name = "events_base_event_cc_proto", - deps = [":events_base_event_proto"], -) - proto_library( name = "events_event_aggregator_service_proto", srcs = ["events_event_aggregator_service.proto"], deps = [ ":common_proto", - ":events_base_event_proto", + "//src/ray/protobuf/public:events_base_event_proto", ], ) diff --git a/src/ray/protobuf/events_event_aggregator_service.proto b/src/ray/protobuf/events_event_aggregator_service.proto index 896a9d9be350..9c1557ca7563 100644 --- a/src/ray/protobuf/events_event_aggregator_service.proto +++ b/src/ray/protobuf/events_event_aggregator_service.proto @@ -15,7 +15,7 @@ syntax = "proto3"; import "src/ray/protobuf/common.proto"; -import "src/ray/protobuf/events_base_event.proto"; +import "src/ray/protobuf/public/events_base_event.proto"; package ray.rpc.events; diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 683e604ffffa..03a9f4b1c5f4 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -3,6 +3,25 @@ load("@rules_proto//proto:defs.bzl", "proto_library") package(default_visibility = ["//visibility:public"]) +proto_library( + name = "events_base_event_proto", + srcs = ["events_base_event.proto"], + deps = [ + ":events_actor_task_definition_event_proto", + ":events_driver_job_definition_event_proto", + ":events_driver_job_execution_event_proto", + ":events_task_definition_event_proto", + ":events_task_execution_event_proto", + "//src/ray/protobuf:events_task_profile_events_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + +cc_proto_library( + name = "events_base_event_cc_proto", + deps = [":events_base_event_proto"], +) + proto_library( name = "events_actor_task_definition_event_proto", srcs = ["events_actor_task_definition_event.proto"], diff --git a/src/ray/protobuf/events_base_event.proto b/src/ray/protobuf/public/events_base_event.proto similarity index 100% rename from src/ray/protobuf/events_base_event.proto rename to src/ray/protobuf/public/events_base_event.proto From abc6e836e5e652df043f512549b8ea562f3c71ce Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 4 Sep 2025 12:05:47 -0700 Subject: [PATCH 1038/1566] [core] Task submitters don't need to return a status (#56220) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 18 +-- .../task_submission/actor_task_submitter.cc | 10 +- .../task_submission/actor_task_submitter.h | 8 +- .../task_submission/normal_task_submitter.cc | 3 +- .../task_submission/normal_task_submitter.h | 4 +- .../tests/actor_task_submitter_test.cc | 80 ++++++------- .../tests/direct_actor_transport_test.cc | 17 ++- .../tests/normal_task_submitter_test.cc | 112 +++++++++--------- 8 files changed, 118 insertions(+), 134 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index a45b65dbe3fe..0dc1ea211221 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -778,11 +778,11 @@ void CoreWorker::InternalHeartbeat() { if (spec.IsActorTask()) { auto actor_handle = actor_manager_->GetActorHandle(spec.ActorId()); actor_handle->SetResubmittedActorTaskSpec(spec); - RAY_CHECK_OK(actor_task_submitter_->SubmitTask(spec)); + actor_task_submitter_->SubmitTask(spec); } else if (spec.IsActorCreationTask()) { - RAY_CHECK_OK(actor_task_submitter_->SubmitActorCreationTask(spec)); + actor_task_submitter_->SubmitActorCreationTask(spec); } else { - RAY_CHECK_OK(normal_task_submitter_->SubmitTask(spec)); + normal_task_submitter_->SubmitTask(spec); } } @@ -1996,7 +1996,7 @@ std::vector CoreWorker::SubmitTask( io_service_.post( [this, task_spec = std::move(task_spec)]() mutable { - RAY_UNUSED(normal_task_submitter_->SubmitTask(std::move(task_spec))); + normal_task_submitter_->SubmitTask(std::move(task_spec)); }, "CoreWorker.SubmitTask"); } @@ -2176,7 +2176,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, task_manager_->FailPendingTask( task_spec.TaskId(), rpc::ErrorType::ACTOR_CREATION_FAILED, &status); } else { - RAY_UNUSED(actor_task_submitter_->SubmitActorCreationTask(task_spec)); + actor_task_submitter_->SubmitActorCreationTask(task_spec); } }); }, @@ -2191,7 +2191,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, } io_service_.post( [this, task_spec = std::move(task_spec)]() { - RAY_UNUSED(actor_task_submitter_->SubmitActorCreationTask(task_spec)); + actor_task_submitter_->SubmitActorCreationTask(task_spec); }, "CoreWorker.SubmitTask"); } @@ -2373,7 +2373,7 @@ Status CoreWorker::SubmitActorTask( returned_refs = task_manager_->AddPendingTask( rpc_address_, task_spec, CurrentCallSite(), max_retries); - RAY_CHECK_OK(actor_task_submitter_->SubmitTask(task_spec)); + actor_task_submitter_->SubmitTask(task_spec); } task_returns = std::move(returned_refs); return Status::OK(); @@ -4560,10 +4560,10 @@ void CoreWorker::TaskManagerRetryTask(TaskSpecification &spec, if (spec.IsActorTask()) { auto actor_handle = actor_manager_->GetActorHandle(spec.ActorId()); actor_handle->SetResubmittedActorTaskSpec(spec); - RAY_CHECK_OK(actor_task_submitter_->SubmitTask(spec)); + actor_task_submitter_->SubmitTask(spec); } else { RAY_CHECK(spec.IsNormalTask()); - RAY_CHECK_OK(normal_task_submitter_->SubmitTask(spec)); + normal_task_submitter_->SubmitTask(spec); } } } diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index d0f6063e4865..765697d75a1a 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -89,7 +89,7 @@ void ActorTaskSubmitter::AddActorQueueIfNotExists(const ActorID &actor_id, } } -Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) { +void ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) { RAY_CHECK(task_spec.IsActorCreationTask()); RAY_LOG(DEBUG).WithField(task_spec.ActorCreationId()).WithField(task_spec.TaskId()) << "Submitting actor creation task"; @@ -162,11 +162,9 @@ Status ActorTaskSubmitter::SubmitActorCreationTask(TaskSpecification task_spec) } }); }); - - return Status::OK(); } -Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { +void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { auto task_id = task_spec.TaskId(); auto actor_id = task_spec.ActorId(); RAY_LOG(DEBUG).WithField(task_id) << "Submitting task"; @@ -254,10 +252,6 @@ Status ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { /*mark_task_object_failed*/ true, fail_immediately); } - - // If the task submission subsequently fails, then the client will receive - // the error in a callback. - return Status::OK(); } void ActorTaskSubmitter::DisconnectRpcClient(ClientQueue &queue) { diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index 8a98b84579b3..64b809da29b9 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -113,14 +113,10 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { bool owned); /// Submit a task to an actor for execution. - /// - /// \param[in] task_spec The task spec to submit. - /// - /// \return Status::Invalid if the task is not yet supported. - Status SubmitTask(TaskSpecification task_spec); + void SubmitTask(TaskSpecification task_spec); /// Submit an actor creation task to an actor via GCS. - Status SubmitActorCreationTask(TaskSpecification task_spec); + void SubmitActorCreationTask(TaskSpecification task_spec); /// Create connection to actor and send all pending tasks. /// diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 9c2bf707247e..00a9a71ec4ac 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -28,7 +28,7 @@ namespace ray { namespace core { -Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { +void NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { RAY_CHECK(task_spec.IsNormalTask()); RAY_LOG(DEBUG) << "Submit task " << task_spec.TaskId(); @@ -89,7 +89,6 @@ Status NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } RequestNewWorkerIfNeeded(scheduling_key); }); - return Status::OK(); } void NormalTaskSubmitter::AddWorkerLeaseClient( diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 423b3d479500..1bd4b75f67ad 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -113,9 +113,7 @@ class NormalTaskSubmitter { cancel_retry_timer_(std::move(cancel_timer)) {} /// Schedule a task for direct submission to a worker. - /// - /// \param[in] task_spec The task to schedule. - Status SubmitTask(TaskSpecification task_spec); + void SubmitTask(TaskSpecification task_spec); /// Either remove a pending task or send an RPC to kill a running task /// diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 85d058f9007a..96044df6722e 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -135,7 +135,7 @@ TEST_P(ActorTaskSubmitterTest, TestSubmitTask) { /*owned*/ false); auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 0); @@ -143,7 +143,7 @@ TEST_P(ActorTaskSubmitterTest, TestSubmitTask) { ASSERT_EQ(worker_client_->callbacks.size(), 1); auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 2); @@ -176,7 +176,7 @@ TEST_P(ActorTaskSubmitterTest, TestQueueingWarning) { for (int i = 0; i < 7500; i++) { auto task = CreateActorTaskHelper(actor_id, worker_id, i); - ASSERT_TRUE(submitter_.SubmitTask(task).ok()); + submitter_.SubmitTask(task); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_TRUE(worker_client_->ReplyPushTask(task.GetTaskAttempt(), Status::OK())); } @@ -184,7 +184,7 @@ TEST_P(ActorTaskSubmitterTest, TestQueueingWarning) { for (int i = 7500; i < 15000; i++) { auto task = CreateActorTaskHelper(actor_id, worker_id, i); - ASSERT_TRUE(submitter_.SubmitTask(task).ok()); + submitter_.SubmitTask(task); ASSERT_EQ(io_context.poll_one(), 1); /* no ack */ } @@ -192,7 +192,7 @@ TEST_P(ActorTaskSubmitterTest, TestQueueingWarning) { for (int i = 15000; i < 35000; i++) { auto task = CreateActorTaskHelper(actor_id, worker_id, i); - ASSERT_TRUE(submitter_.SubmitTask(task).ok()); + submitter_.SubmitTask(task); ASSERT_EQ(io_context.poll_one(), 1); /* no ack */ } @@ -225,9 +225,9 @@ TEST_P(ActorTaskSubmitterTest, TestDependencies) { // Neither task can be submitted yet because they are still waiting on // dependencies. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 0); @@ -272,9 +272,9 @@ TEST_P(ActorTaskSubmitterTest, TestOutOfOrderDependencies) { // Neither task can be submitted yet because they are still waiting on // dependencies. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 0); @@ -325,9 +325,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorDead) { ObjectID obj = ObjectID::FromRandom(); auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); task2.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj.Binary()); - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_EQ(worker_client_->callbacks.size(), 1); @@ -369,11 +369,11 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartNoRetry) { auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); auto task4 = CreateActorTaskHelper(actor_id, worker_id, 3); // Submit three tasks. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); + submitter_.SubmitTask(task3); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); @@ -397,7 +397,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartNoRetry) { // Actor gets restarted. addr.set_port(1); submitter_.ConnectActor(actor_id, addr, 1); - ASSERT_TRUE(submitter_.SubmitTask(task4).ok()); + submitter_.SubmitTask(task4); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_TRUE(worker_client_->ReplyPushTask(task4.GetTaskAttempt(), Status::OK())); ASSERT_TRUE(worker_client_->callbacks.empty()); @@ -426,11 +426,11 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartRetry) { auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); auto task4 = CreateActorTaskHelper(actor_id, worker_id, 3); // Submit three tasks. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); + submitter_.SubmitTask(task3); ASSERT_EQ(io_context.poll_one(), 1); // All tasks will eventually finish. @@ -457,17 +457,17 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartRetry) { addr.set_port(1); submitter_.ConnectActor(actor_id, addr, 1); // A new task is submitted. - ASSERT_TRUE(submitter_.SubmitTask(task4).ok()); + submitter_.SubmitTask(task4); ASSERT_EQ(io_context.poll_one(), 1); // Tasks 2 and 3 get retried. In the real world, the seq_no of these two tasks should be // updated to 4 and 5 by `CoreWorker::InternalHeartbeat`. task2.GetMutableMessage().set_attempt_number(task2.AttemptNumber() + 1); task2.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(4); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); task3.GetMutableMessage().set_attempt_number(task2.AttemptNumber() + 1); task3.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(5); - ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); + submitter_.SubmitTask(task3); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_TRUE(worker_client_->ReplyPushTask(task4.GetTaskAttempt(), Status::OK())); ASSERT_TRUE(worker_client_->ReplyPushTask(task2.GetTaskAttempt(), Status::OK())); @@ -496,11 +496,11 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); // Submit three tasks. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); + submitter_.SubmitTask(task3); ASSERT_EQ(io_context.poll_one(), 1); // All tasks will eventually finish. EXPECT_CALL(*task_manager_, CompletePendingTask(_, _, _, _)).Times(3); @@ -526,7 +526,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderRetry) { // Retry task 2 manually (simulating task_manager and SendPendingTask's behavior) task2.GetMutableMessage().set_attempt_number(task2.AttemptNumber() + 1); task2.GetMutableMessage().mutable_actor_task_spec()->set_sequence_number(3); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); // Only task2 should be submitted. task 3 (completed) should not be retried. @@ -553,7 +553,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { // Create four tasks for the actor. auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); // Submit a task. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK())); @@ -564,7 +564,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task2.GetTaskAttempt(), Status::OK())); @@ -576,7 +576,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); - ASSERT_TRUE(submitter_.SubmitTask(task3).ok()); + submitter_.SubmitTask(task3); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task3.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task3.GetTaskAttempt(), Status::OK())); @@ -587,7 +587,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task4 = CreateActorTaskHelper(actor_id, worker_id, 3); - ASSERT_TRUE(submitter_.SubmitTask(task4).ok()); + submitter_.SubmitTask(task4); ASSERT_EQ(io_context.poll_one(), 1); // Tasks submitted when the actor is in RESTARTING state will fail immediately. // This happens in an io_service.post. Search `SendPendingTasks_ForceFail` to locate @@ -618,7 +618,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { auto task5 = CreateActorTaskHelper(actor_id, worker_id, 4); EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task5.TaskId(), _, _, _, _, _)) .Times(1); - ASSERT_TRUE(submitter_.SubmitTask(task5).ok()); + submitter_.SubmitTask(task5); ASSERT_EQ(io_context.poll_one(), 0); } @@ -642,7 +642,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { auto task2_first_attempt = CreateActorTaskHelper(actor_id, caller_worker_id, 1); auto task3_first_attempt = CreateActorTaskHelper(actor_id, caller_worker_id, 2); // Submit a task. - ASSERT_TRUE(submitter_.SubmitTask(task1_first_attempt).ok()); + submitter_.SubmitTask(task1_first_attempt); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task1_first_attempt.TaskId(), _, _, _)) .Times(1); @@ -651,9 +651,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { ASSERT_EQ(worker_client_->callbacks.size(), 0); // Submit 2 tasks. - ASSERT_TRUE(submitter_.SubmitTask(task2_first_attempt).ok()); + submitter_.SubmitTask(task2_first_attempt); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task3_first_attempt).ok()); + submitter_.SubmitTask(task3_first_attempt); ASSERT_EQ(io_context.poll_one(), 1); // Actor failed, but the task replies are delayed (or in some scenarios, lost). // We should still be able to fail the inflight tasks. @@ -681,9 +681,9 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { task3_first_attempt.TaskIdBinary()); task3_second_attempt.GetMutableMessage().set_attempt_number( task3_first_attempt.AttemptNumber() + 1); - ASSERT_TRUE(submitter_.SubmitTask(task2_second_attempt).ok()); + submitter_.SubmitTask(task2_second_attempt); ASSERT_EQ(io_context.poll_one(), 1); - ASSERT_TRUE(submitter_.SubmitTask(task3_second_attempt).ok()); + submitter_.SubmitTask(task3_second_attempt); ASSERT_EQ(io_context.poll_one(), 1); // Restart the actor. @@ -752,7 +752,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); // Submit a task. - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task1.TaskId(), _, _, _)).Times(1); ASSERT_TRUE(worker_client_->ReplyPushTask(task1.GetTaskAttempt(), Status::OK())); @@ -764,7 +764,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { // Submit a new task. This task should fail immediately because "max_task_retries" is 0. auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); - ASSERT_TRUE(submitter_.SubmitTask(task2).ok()); + submitter_.SubmitTask(task2); ASSERT_EQ(io_context.poll_one(), 1); EXPECT_CALL(*task_manager_, CompletePendingTask(task2.TaskId(), _, _, _)).Times(0); EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task2.TaskId(), _, _, _, _, _)) @@ -792,7 +792,7 @@ TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { ASSERT_FALSE(submitter_.PendingTasksFull(actor_id)); auto task = CreateActorTaskHelper(actor_id, worker_id, i); tasks.push_back(task); - ASSERT_TRUE(submitter_.SubmitTask(task).ok()); + submitter_.SubmitTask(task); ASSERT_EQ(io_context.poll_one(), 1); } @@ -811,7 +811,7 @@ TEST_P(ActorTaskSubmitterTest, TestPendingTasks) { // We can submit task 10, but after that the queue is full. auto task = CreateActorTaskHelper(actor_id, worker_id, 10); tasks.push_back(task); - ASSERT_TRUE(submitter_.SubmitTask(task).ok()); + submitter_.SubmitTask(task); ASSERT_EQ(io_context.poll_one(), 1); ASSERT_TRUE(submitter_.PendingTasksFull(actor_id)); @@ -837,7 +837,7 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartResubmit) { // Generator is pushed to worker -> generator queued for resubmit -> comes back from // worker -> resubmit happens. auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); - ASSERT_TRUE(submitter_.SubmitTask(task1).ok()); + submitter_.SubmitTask(task1); io_context.run_one(); submitter_.ConnectActor(actor_id, addr, 0); ASSERT_EQ(worker_client_->callbacks.size(), 1); diff --git a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc index b5a7bf44bb77..eb52aa92bef5 100644 --- a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc +++ b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc @@ -11,20 +11,17 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/core_worker/task_submission/actor_task_submitter.h" -// clang-format off #include #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "ray/core_worker/actor_creator.h" +#include "mock/ray/core_worker/memory_store.h" +#include "mock/ray/core_worker/reference_count.h" #include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" -#include "mock/ray/core_worker/reference_count.h" -#include "mock/ray/core_worker/memory_store.h" - -// clang-format on +#include "ray/core_worker/actor_creator.h" +#include "ray/core_worker/task_submission/actor_task_submitter.h" namespace ray { namespace core { @@ -75,7 +72,7 @@ class DirectTaskTransportTest : public ::testing::Test { protected: bool CheckSubmitTask(TaskSpecification task) { - EXPECT_TRUE(actor_task_submitter->SubmitTask(task).ok()); + actor_task_submitter->SubmitTask(task); return 1 == io_context.poll_one(); } @@ -99,7 +96,7 @@ TEST_F(DirectTaskTransportTest, ActorCreationOk) { EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncCreateActor(creation_task_spec, ::testing::_)) .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb))); - ASSERT_TRUE(actor_task_submitter->SubmitActorCreationTask(creation_task_spec).ok()); + actor_task_submitter->SubmitActorCreationTask(creation_task_spec); create_cb(Status::OK(), rpc::CreateActorReply()); } @@ -115,7 +112,7 @@ TEST_F(DirectTaskTransportTest, ActorCreationFail) { EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncCreateActor(creation_task_spec, ::testing::_)) .WillOnce(::testing::DoAll(::testing::SaveArg<1>(&create_cb))); - ASSERT_TRUE(actor_task_submitter->SubmitActorCreationTask(creation_task_spec).ok()); + actor_task_submitter->SubmitActorCreationTask(creation_task_spec); create_cb(Status::IOError(""), rpc::CreateActorReply()); } diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index 97d8b6bd48fa..fc2d400714c5 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -556,7 +556,7 @@ TEST_F(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_EQ(raylet_client->num_is_selected_based_on_locality_leases_requested, 1); ASSERT_EQ(raylet_client->num_workers_requested, 1); @@ -587,7 +587,7 @@ TEST_F(NormalTaskSubmitterTest, TestSubmitOneTask) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_EQ(raylet_client->num_is_selected_based_on_locality_leases_requested, 0); ASSERT_EQ(raylet_client->num_workers_requested, 1); @@ -619,7 +619,7 @@ TEST_F(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { TaskSpecification task = BuildEmptyTaskSpec(); task.GetMutableMessage().set_retry_exceptions(true); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate an application-level error. ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); @@ -633,7 +633,7 @@ TEST_F(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { task.GetMutableMessage().set_retry_exceptions(false); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate an application-level error. ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); @@ -655,7 +655,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate a system failure, i.e., worker died unexpectedly. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); @@ -683,7 +683,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Simulate a system failure, i.e., worker died unexpectedly so that // GetWorkerFailureCause is called. @@ -703,9 +703,9 @@ TEST_F(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -753,9 +753,9 @@ TEST_F(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -800,7 +800,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerHandleLocalRayletDied) { CreateNormalTaskSubmitter(std::make_shared(2)); TaskSpecification task1 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); + submitter.SubmitTask(task1); ASSERT_DEATH(raylet_client->FailWorkerLeaseDueToGrpcUnavailable(), ""); } @@ -812,9 +812,9 @@ TEST_F(NormalTaskSubmitterTest, TestDriverHandleLocalRayletDied) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -847,7 +847,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { for (int i = 0; i < 2 * concurrency; i++) { auto task = BuildEmptyTaskSpec(); tasks.push_back(task); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); } ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, concurrency); @@ -903,7 +903,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { for (int i = 0; i < 2 * concurrency; i++) { auto task = BuildEmptyTaskSpec(); tasks.push_back(task); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); } ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); @@ -988,7 +988,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) for (int i = 0; i < 2 * concurrency; i++) { auto task = BuildEmptyTaskSpec(); tasks.push_back(task); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); } ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); @@ -1071,9 +1071,9 @@ TEST_F(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_EQ(raylet_client->num_workers_requested, 1); ASSERT_EQ(raylet_client->reported_backlog_size, 0); @@ -1122,9 +1122,9 @@ TEST_F(NormalTaskSubmitterTest, TestReuseWorkerLease) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_EQ(raylet_client->num_workers_requested, 1); @@ -1174,9 +1174,9 @@ TEST_F(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. @@ -1222,8 +1222,8 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); // Task 1 is pushed. ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); @@ -1239,7 +1239,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { ASSERT_EQ(raylet_client->num_workers_returned, 1); // Another task is submitted while task 2's lease request is being canceled. - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task3); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Task 2's lease request is canceled, a new worker is requested for task 3. @@ -1266,8 +1266,8 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { TaskSpecification task1 = BuildEmptyTaskSpec(); TaskSpecification task2 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. @@ -1302,7 +1302,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task1 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); + submitter.SubmitTask(task1); ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. @@ -1338,7 +1338,7 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { raylet_client_factory); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); ASSERT_EQ(raylet_client->num_workers_requested, 1); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -1395,7 +1395,7 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { kLongTimeout); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_EQ(raylet_client->num_grant_or_reject_leases_requested, 0); ASSERT_EQ(raylet_client->num_workers_requested, 1); ASSERT_EQ(raylet_client->num_workers_returned, 0); @@ -1479,9 +1479,9 @@ void TestSchedulingKey(const std::shared_ptr store, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, boost::asio::steady_timer(io_context)); - ASSERT_TRUE(submitter.SubmitTask(same1).ok()); - ASSERT_TRUE(submitter.SubmitTask(same2).ok()); - ASSERT_TRUE(submitter.SubmitTask(different).ok()); + submitter.SubmitTask(same1); + submitter.SubmitTask(same2); + submitter.SubmitTask(different); WaitForCondition( [&raylet_client]() { return raylet_client->num_workers_returned == 2; }, @@ -1652,14 +1652,14 @@ TEST_F(NormalTaskSubmitterTest, TestBacklogReport) { TaskSpecification task4 = BuildTaskSpec(resources2, descriptor2); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); + submitter.SubmitTask(task1); // One is requested and one is in the backlog for each SchedulingKey - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task2)).ok()); - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task2)).ok()); - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task3)).ok()); - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task3)).ok()); - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task4)).ok()); - ASSERT_TRUE(submitter.SubmitTask(WithRandomTaskId(task4)).ok()); + submitter.SubmitTask(WithRandomTaskId(task2)); + submitter.SubmitTask(WithRandomTaskId(task2)); + submitter.SubmitTask(WithRandomTaskId(task3)); + submitter.SubmitTask(WithRandomTaskId(task3)); + submitter.SubmitTask(WithRandomTaskId(task4)); + submitter.SubmitTask(WithRandomTaskId(task4)); // Waits for the async callbacks in submitter.SubmitTask to finish, before we call // ReportWorkerBacklog. @@ -1688,9 +1688,9 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { TaskSpecification task2 = BuildEmptyTaskSpec(); TaskSpecification task3 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task1).ok()); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); - ASSERT_TRUE(submitter.SubmitTask(task3).ok()); + submitter.SubmitTask(task1); + submitter.SubmitTask(task2); + submitter.SubmitTask(task3); ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. @@ -1733,7 +1733,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Try force kill, exiting the worker @@ -1750,7 +1750,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { task.GetMutableMessage().set_task_id( TaskID::ForNormalTask(JobID::Nil(), TaskID::Nil(), 1).Binary()); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); // Try non-force kill, worker returns normally @@ -1774,7 +1774,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillPendingTask) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); submitter.CancelTask(task, true, false); ASSERT_EQ(worker_client->kill_requests.size(), 0); ASSERT_EQ(worker_client->callbacks.size(), 0); @@ -1800,7 +1800,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillResolvingTask) { TaskSpecification task = BuildEmptyTaskSpec(); ObjectID obj1 = ObjectID::FromRandom(); task.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id(obj1.Binary()); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_EQ(task_manager->num_inlined_dependencies, 0); submitter.CancelTask(task, true, false); auto data = GenerateRandomObject(); @@ -1823,7 +1823,7 @@ TEST_F(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { auto submitter = CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task)); ASSERT_TRUE(worker_client->ReplyPushTask()); @@ -1838,7 +1838,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) auto submitter = CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task).ok()); + submitter.SubmitTask(task); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); submitter.CancelTask(task, /*force_kill=*/false, /*recursive=*/true); ASSERT_FALSE(submitter.QueueGeneratorForResubmit(task)); @@ -1855,7 +1855,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) // Succesful queue generator for resubmit -> cancel -> successful execution -> no // resubmit. TaskSpecification task2 = BuildEmptyTaskSpec(); - ASSERT_TRUE(submitter.SubmitTask(task2).ok()); + submitter.SubmitTask(task2); ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task2)); submitter.CancelTask(task2, /*force_kill=*/false, /*recursive=*/true); From 42f48109e35599ae71c2e8ac42f81119ac39ddeb Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 4 Sep 2025 12:15:15 -0700 Subject: [PATCH 1039/1566] [Data] - Add DataType to Expression class (#55915) ## Why are these changes needed? Add return_dtype to all Expr types. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- doc/source/data/api/api.rst | 1 + doc/source/data/api/datatype.rst | 12 + python/ray/data/BUILD | 10 + python/ray/data/dataset.py | 3 +- python/ray/data/datatype.py | 255 ++++++++++++++++ python/ray/data/expressions.py | 37 ++- python/ray/data/tests/test_datatype.py | 392 +++++++++++++++++++++++++ python/ray/data/tests/test_map.py | 39 +-- 8 files changed, 722 insertions(+), 27 deletions(-) create mode 100644 doc/source/data/api/datatype.rst create mode 100644 python/ray/data/datatype.py create mode 100644 python/ray/data/tests/test_datatype.py diff --git a/doc/source/data/api/api.rst b/doc/source/data/api/api.rst index 2926be209658..009eafbdc950 100644 --- a/doc/source/data/api/api.rst +++ b/doc/source/data/api/api.rst @@ -13,6 +13,7 @@ Ray Data API aggregate.rst grouped_data.rst expressions.rst + datatype.rst data_context.rst preprocessor.rst llm.rst diff --git a/doc/source/data/api/datatype.rst b/doc/source/data/api/datatype.rst new file mode 100644 index 000000000000..4e39831b50a9 --- /dev/null +++ b/doc/source/data/api/datatype.rst @@ -0,0 +1,12 @@ +.. _datatype-api: + +Data types +========== + +.. currentmodule:: ray.data.datatype + +Class +----- + +.. autoclass:: DataType + :members: diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index c9273b2aec72..396cb8501b2a 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -111,6 +111,16 @@ py_test( ], ) +py_test( + name = "test_datatype", + size = "small", + srcs = ["tests/test_datatype.py"], + tags = [ + "exclusive", + "team:data", + ], +) + py_test( name = "test_sql", size = "small", diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index f2cef1c44761..33a628977bae 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -806,10 +806,11 @@ def with_column( {'id': 1, 'id_2': 2} >>> # Using a UDF with with_column + >>> from ray.data.datatype import DataType >>> from ray.data.expressions import udf >>> import pyarrow.compute as pc >>> - >>> @udf() + >>> @udf(return_dtype=DataType.int32()) ... def add_one(column): ... return pc.add(column, 1) >>> diff --git a/python/ray/data/datatype.py b/python/ray/data/datatype.py new file mode 100644 index 000000000000..4c9fb79defce --- /dev/null +++ b/python/ray/data/datatype.py @@ -0,0 +1,255 @@ +from dataclasses import dataclass +from typing import Any, Dict, List, Optional, Tuple, Union + +import numpy as np +import pyarrow as pa + +from ray.air.util.tensor_extensions.arrow import ( + _infer_pyarrow_type, +) +from ray.util.annotations import PublicAPI + +PYARROW_TYPE_DEFINITIONS: Dict[str, Tuple[callable, str]] = { + "int8": (pa.int8, "an 8-bit signed integer"), + "int16": (pa.int16, "a 16-bit signed integer"), + "int32": (pa.int32, "a 32-bit signed integer"), + "int64": (pa.int64, "a 64-bit signed integer"), + "uint8": (pa.uint8, "an 8-bit unsigned integer"), + "uint16": (pa.uint16, "a 16-bit unsigned integer"), + "uint32": (pa.uint32, "a 32-bit unsigned integer"), + "uint64": (pa.uint64, "a 64-bit unsigned integer"), + "float32": (pa.float32, "a 32-bit floating point number"), + "float64": (pa.float64, "a 64-bit floating point number"), + "string": (pa.string, "a variable-length string"), + "bool": (pa.bool_, "a boolean value"), + "binary": (pa.binary, "variable-length binary data"), +} + + +def _factory_methods(cls: type): + """Metaprogramming: Class decorator to generate factory methods for PyArrow types using from_arrow. + + This decorator automatically creates class methods for common PyArrow data types. + Each generated method is a convenient factory that calls cls.from_arrow(pa.type()). + + Generated methods include: + - Signed integers: int8, int16, int32, int64 + - Unsigned integers: uint8, uint16, uint32, uint64 + - Floating point: float32, float64 + - Other types: string, bool, binary + + Examples of generated methods:: + + @classmethod + def int32(cls): + \"\"\"Create a DataType representing a 32-bit signed integer. + + Returns: + DataType: A DataType with PyArrow int32 type + \"\"\" + return cls.from_arrow(pa.int32()) + + @classmethod + def string(cls): + \"\"\"Create a DataType representing a variable-length string. + + Returns: + DataType: A DataType with PyArrow string type + \"\"\" + return cls.from_arrow(pa.string()) + + Usage: + Instead of DataType.from_arrow(pa.int32()), you can use DataType.int32() + """ + + for method_name, (pa_func, description) in PYARROW_TYPE_DEFINITIONS.items(): + + def create_method(name, func, desc): + def factory_method(cls): + return cls.from_arrow(func()) + + factory_method.__doc__ = f"""Create a DataType representing {desc}. + + Returns: + DataType: A DataType with PyArrow {name} type + """ + factory_method.__name__ = name + factory_method.__qualname__ = f"{cls.__name__}.{name}" + return classmethod(factory_method) + + setattr(cls, method_name, create_method(method_name, pa_func, description)) + + return cls + + +@PublicAPI(stability="alpha") +@dataclass +@_factory_methods +class DataType: + """A simplified Ray Data DataType supporting Arrow, NumPy, and Python types.""" + + _internal_type: Union[pa.DataType, np.dtype, type] + + def __post_init__(self): + """Validate the _internal_type after initialization.""" + # TODO: Support Pandas extension types + if not isinstance( + self._internal_type, + (pa.DataType, np.dtype, type), + ): + raise TypeError( + f"DataType supports only PyArrow DataType, NumPy dtype, or Python type, but was given type {type(self._internal_type)}." + ) + + # Type checking methods + def is_arrow_type(self) -> bool: + return isinstance(self._internal_type, pa.DataType) + + def is_numpy_type(self) -> bool: + return isinstance(self._internal_type, np.dtype) + + def is_python_type(self) -> bool: + return isinstance(self._internal_type, type) + + # Conversion methods + def to_arrow_dtype(self, values: Optional[List[Any]] = None) -> pa.DataType: + """ + Convert the DataType to a PyArrow DataType. + + Args: + values: Optional list of values to infer the Arrow type from. Required if the DataType is a Python type. + + Returns: + A PyArrow DataType + """ + if self.is_arrow_type(): + return self._internal_type + else: + if isinstance(self._internal_type, np.dtype): + return pa.from_numpy_dtype(self._internal_type) + else: + assert ( + values is not None and len(values) > 0 + ), "Values are required to infer Arrow type if the provided type is a Python type" + return _infer_pyarrow_type(values) + + def to_numpy_dtype(self) -> np.dtype: + if self.is_numpy_type(): + return self._internal_type + elif self.is_arrow_type(): + try: + # For most basic arrow types, this will work + pandas_dtype = self._internal_type.to_pandas_dtype() + if isinstance(pandas_dtype, np.dtype): + return pandas_dtype + else: + # If pandas returns an extension dtype, fall back to object + return np.dtype("object") + except (TypeError, NotImplementedError, pa.ArrowNotImplementedError): + return np.dtype("object") + else: + return np.dtype("object") + + def to_python_type(self) -> type: + if self.is_python_type(): + return self._internal_type + else: + raise ValueError(f"DataType {self} is not a Python type") + + # Factory methods from external systems + @classmethod + def from_arrow(cls, arrow_type: pa.DataType) -> "DataType": + """Create a DataType from a PyArrow DataType. + + Args: + arrow_type: A PyArrow DataType to wrap + + Returns: + DataType: A DataType wrapping the given PyArrow type + + Examples: + >>> import pyarrow as pa + >>> from ray.data.datatype import DataType + >>> DataType.from_arrow(pa.timestamp('s')) + DataType(arrow:timestamp[s]) + >>> DataType.from_arrow(pa.int64()) + DataType(arrow:int64) + """ + return cls(_internal_type=arrow_type) + + @classmethod + def from_numpy(cls, numpy_dtype: Union[np.dtype, str]) -> "DataType": + """Create a DataType from a NumPy dtype. + + Args: + numpy_dtype: A NumPy dtype object or string representation + + Returns: + DataType: A DataType wrapping the given NumPy dtype + + Examples: + >>> import numpy as np + >>> from ray.data.datatype import DataType + >>> DataType.from_numpy(np.dtype('int32')) + DataType(numpy:int32) + >>> DataType.from_numpy('float64') + DataType(numpy:float64) + """ + if isinstance(numpy_dtype, str): + numpy_dtype = np.dtype(numpy_dtype) + return cls(_internal_type=numpy_dtype) + + @classmethod + def infer_dtype(cls, value: Any) -> "DataType": + """Infer DataType from a Python value, handling numpy, Arrow, and Python types. + + Args: + value: Any Python value to infer the type from + + Returns: + DataType: The inferred data type + + Examples: + >>> import numpy as np + >>> from ray.data.datatype import DataType + >>> DataType.infer_dtype(5) + DataType(arrow:int64) + >>> DataType.infer_dtype("hello") + DataType(arrow:string) + >>> DataType.infer_dtype(np.int32(42)) + DataType(numpy:int32) + """ + # 1. Handle numpy arrays and scalars + if isinstance(value, (np.ndarray, np.generic)): + return cls.from_numpy(value.dtype) + # 3. Try PyArrow type inference for regular Python values + try: + inferred_arrow_type = _infer_pyarrow_type([value]) + if inferred_arrow_type is not None: + return cls.from_arrow(inferred_arrow_type) + except Exception: + return cls(type(value)) + + def __repr__(self) -> str: + if self.is_arrow_type(): + return f"DataType(arrow:{self._internal_type})" + elif self.is_numpy_type(): + return f"DataType(numpy:{self._internal_type})" + else: + return f"DataType(python:{self._internal_type.__name__})" + + def __eq__(self, other) -> bool: + if not isinstance(other, DataType): + return False + + # Ensure they're from the same type system by checking the actual type + # of the internal type object, not just the value + if type(self._internal_type) is not type(other._internal_type): + return False + + return self._internal_type == other._internal_type + + def __hash__(self) -> int: + # Include the type of the internal type in the hash to ensure + # different type systems don't collide + return hash((type(self._internal_type), self._internal_type)) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index fa99ae638eab..94a799802068 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -2,11 +2,12 @@ import functools from abc import ABC, abstractmethod -from dataclasses import dataclass +from dataclasses import dataclass, field from enum import Enum from typing import Any, Callable, Dict, List from ray.data.block import BatchColumn +from ray.data.datatype import DataType from ray.util.annotations import DeveloperAPI, PublicAPI @@ -69,6 +70,8 @@ class Expr(ABC): subclasses like ColumnExpr, LiteralExpr, etc. """ + data_type: DataType + @abstractmethod def structurally_equals(self, other: Any) -> bool: """Compare two expression ASTs for structural equality.""" @@ -174,6 +177,7 @@ class ColumnExpr(Expr): """ name: str + data_type: DataType = field(default_factory=lambda: DataType(object), init=False) def structurally_equals(self, other: Any) -> bool: return isinstance(other, ColumnExpr) and self.name == other.name @@ -192,12 +196,22 @@ class LiteralExpr(Expr): Example: >>> from ray.data.expressions import lit + >>> import numpy as np >>> # Create a literal value >>> five = lit(5) # Creates LiteralExpr(value=5) >>> name = lit("John") # Creates LiteralExpr(value="John") + >>> numpy_val = lit(np.int32(42)) # Creates LiteralExpr with numpy type """ value: Any + data_type: DataType = field(init=False) + + def __post_init__(self): + # Infer the type from the value using DataType.infer_dtype + inferred_dtype = DataType.infer_dtype(self.value) + + # Use object.__setattr__ since the dataclass is frozen + object.__setattr__(self, "data_type", inferred_dtype) def structurally_equals(self, other: Any) -> bool: return ( @@ -232,6 +246,8 @@ class BinaryExpr(Expr): left: Expr right: Expr + data_type: DataType = field(default_factory=lambda: DataType(object), init=False) + def structurally_equals(self, other: Any) -> bool: return ( isinstance(other, BinaryExpr) @@ -263,7 +279,7 @@ class UDFExpr(Expr): >>> import pyarrow as pa >>> import pyarrow.compute as pc >>> - >>> @udf() + >>> @udf(return_dtype=DataType.int32()) ... def add_one(x: pa.Array) -> pa.Array: ... return pc.add(x, 1) >>> @@ -289,7 +305,9 @@ def structurally_equals(self, other: Any) -> bool: ) -def _create_udf_callable(fn: Callable[..., BatchColumn]) -> Callable[..., UDFExpr]: +def _create_udf_callable( + fn: Callable[..., BatchColumn], return_dtype: DataType +) -> Callable[..., UDFExpr]: """Create a callable that generates UDFExpr when called with expressions.""" def udf_callable(*args, **kwargs) -> UDFExpr: @@ -312,6 +330,7 @@ def udf_callable(*args, **kwargs) -> UDFExpr: fn=fn, args=expr_args, kwargs=expr_kwargs, + data_type=return_dtype, ) # Preserve original function metadata @@ -324,7 +343,7 @@ def udf_callable(*args, **kwargs) -> UDFExpr: @PublicAPI(stability="alpha") -def udf() -> Callable[..., UDFExpr]: +def udf(return_dtype: DataType) -> Callable[..., UDFExpr]: """ Decorator to convert a UDF into an expression-compatible function. @@ -336,6 +355,9 @@ def udf() -> Callable[..., UDFExpr]: multiple values from that column across the batch. Under the hood, when working with multiple columns, they get translated to PyArrow arrays (one array per column). + Args: + return_dtype: The data type of the return value of the UDF + Returns: A callable that creates UDFExpr instances when called with expressions @@ -346,12 +368,12 @@ def udf() -> Callable[..., UDFExpr]: >>> import ray >>> >>> # UDF that operates on a batch of values (PyArrow Array) - >>> @udf() + >>> @udf(return_dtype=DataType.int32()) ... def add_one(x: pa.Array) -> pa.Array: ... return pc.add(x, 1) # Vectorized operation on the entire Array >>> >>> # UDF that combines multiple columns (each as a PyArrow Array) - >>> @udf() + >>> @udf(return_dtype=DataType.string()) ... def format_name(first: pa.Array, last: pa.Array) -> pa.Array: ... return pc.binary_join_element_wise(first, last, " ") # Vectorized string concatenation >>> @@ -372,7 +394,7 @@ def udf() -> Callable[..., UDFExpr]: """ def decorator(func: Callable[..., BatchColumn]) -> Callable[..., UDFExpr]: - return _create_udf_callable(func) + return _create_udf_callable(func, return_dtype) return decorator @@ -383,6 +405,7 @@ class DownloadExpr(Expr): """Expression that represents a download operation.""" uri_column_name: str + data_type: DataType = field(default_factory=lambda: DataType.binary(), init=False) def structurally_equals(self, other: Any) -> bool: return ( diff --git a/python/ray/data/tests/test_datatype.py b/python/ray/data/tests/test_datatype.py new file mode 100644 index 000000000000..ceb3a2650941 --- /dev/null +++ b/python/ray/data/tests/test_datatype.py @@ -0,0 +1,392 @@ +import numpy as np +import pyarrow as pa +import pytest + +from ray.data.datatype import DataType + + +class TestDataTypeFactoryMethods: + """Test the generated factory methods.""" + + @pytest.mark.parametrize( + "method_name,pa_type,description", + [ + ("int8", pa.int8(), "8-bit signed integer"), + ("int16", pa.int16(), "16-bit signed integer"), + ("int32", pa.int32(), "32-bit signed integer"), + ("int64", pa.int64(), "64-bit signed integer"), + ("uint8", pa.uint8(), "8-bit unsigned integer"), + ("uint16", pa.uint16(), "16-bit unsigned integer"), + ("uint32", pa.uint32(), "32-bit unsigned integer"), + ("uint64", pa.uint64(), "64-bit unsigned integer"), + ("float32", pa.float32(), "32-bit floating point number"), + ("float64", pa.float64(), "64-bit floating point number"), + ("string", pa.string(), "variable-length string"), + ("bool", pa.bool_(), "boolean value"), + ("binary", pa.binary(), "variable-length binary data"), + ], + ) + def test_factory_method_creates_correct_type( + self, method_name, pa_type, description + ): + """Test that factory methods create DataType with correct PyArrow type.""" + factory_method = getattr(DataType, method_name) + result = factory_method() + + assert isinstance(result, DataType) + assert result.is_arrow_type() + assert result._internal_type == pa_type + + @pytest.mark.parametrize( + "method_name", + [ + "int8", + "int16", + "int32", + "int64", + "uint8", + "uint16", + "uint32", + "uint64", + "float32", + "float64", + "string", + "bool", + "binary", + ], + ) + def test_factory_method_has_proper_docstring(self, method_name): + """Test that generated factory methods have proper docstrings.""" + factory_method = getattr(DataType, method_name) + doc = factory_method.__doc__ + + assert "Create a DataType representing" in doc + assert "Returns:" in doc + assert f"DataType with PyArrow {method_name} type" in doc + + +class TestDataTypeValidation: + """Test DataType validation and initialization.""" + + @pytest.mark.parametrize( + "valid_type", + [ + pa.int64(), + pa.string(), + pa.timestamp("s"), + np.dtype("int32"), + np.dtype("float64"), + int, + str, + float, + ], + ) + def test_post_init_accepts_valid_types(self, valid_type): + """Test that __post_init__ accepts valid type objects.""" + # Should not raise + dt = DataType(valid_type) + assert dt._internal_type == valid_type + + @pytest.mark.parametrize( + "invalid_type", + [ + "string", + 123, + [1, 2, 3], + {"key": "value"}, + None, + object(), + ], + ) + def test_post_init_rejects_invalid_types(self, invalid_type): + """Test that __post_init__ rejects invalid type objects.""" + with pytest.raises( + TypeError, + match="DataType supports only PyArrow DataType, NumPy dtype, or Python type", + ): + DataType(invalid_type) + + +class TestDataTypeCheckers: + """Test type checking methods.""" + + @pytest.mark.parametrize( + "datatype,is_arrow,is_numpy,is_python", + [ + (DataType.from_arrow(pa.int64()), True, False, False), + (DataType.from_arrow(pa.string()), True, False, False), + (DataType.from_numpy(np.dtype("int32")), False, True, False), + (DataType.from_numpy(np.dtype("float64")), False, True, False), + (DataType(int), False, False, True), + (DataType(str), False, False, True), + ], + ) + def test_type_checkers(self, datatype, is_arrow, is_numpy, is_python): + """Test is_arrow_type, is_numpy_type, and is_python_type methods.""" + assert datatype.is_arrow_type() == is_arrow + assert datatype.is_numpy_type() == is_numpy + assert datatype.is_python_type() == is_python + + +class TestDataTypeFactories: + """Test factory methods from external systems.""" + + @pytest.mark.parametrize( + "pa_type", + [ + pa.int32(), + pa.string(), + pa.timestamp("s"), + pa.list_(pa.int32()), + pa.decimal128(10, 2), + ], + ) + def test_from_arrow(self, pa_type): + """Test from_arrow factory method.""" + dt = DataType.from_arrow(pa_type) + + assert isinstance(dt, DataType) + assert dt.is_arrow_type() + assert dt._internal_type == pa_type + + @pytest.mark.parametrize( + "numpy_input,expected_dtype", + [ + (np.dtype("int32"), np.dtype("int32")), + (np.dtype("float64"), np.dtype("float64")), + ("int64", np.dtype("int64")), + ("float32", np.dtype("float32")), + ], + ) + def test_from_numpy(self, numpy_input, expected_dtype): + """Test from_numpy factory method.""" + dt = DataType.from_numpy(numpy_input) + + assert isinstance(dt, DataType) + assert dt.is_numpy_type() + assert dt._internal_type == expected_dtype + + +class TestDataTypeConversions: + """Test type conversion methods.""" + + def test_to_arrow_dtype_arrow_passthrough(self): + """Test that Arrow types return themselves.""" + dt = DataType.from_arrow(pa.int64()) + result = dt.to_arrow_dtype() + assert result == pa.int64() + + def test_to_arrow_dtype_numpy_conversion(self): + """Test conversion from NumPy to Arrow types.""" + dt = DataType.from_numpy(np.dtype("int32")) + result = dt.to_arrow_dtype() + assert result == pa.int32() + + def test_to_arrow_dtype_python_conversion(self): + """Test conversion from Python to Arrow types.""" + dt = DataType(int) + result = dt.to_arrow_dtype([1]) + # Python int should map to int64 in Arrow + assert result == pa.int64() + + @pytest.mark.parametrize( + "source_dt,expected_result", + [ + # NumPy types should return themselves + (DataType.from_numpy(np.dtype("int32")), np.dtype("int32")), + (DataType.from_numpy(np.dtype("float64")), np.dtype("float64")), + # Python types should fall back to object + (DataType(str), np.dtype("object")), + (DataType(list), np.dtype("object")), + ], + ) + def test_to_numpy_dtype(self, source_dt, expected_result): + """Test to_numpy_dtype conversion.""" + result = source_dt.to_numpy_dtype() + assert result == expected_result + + def test_to_numpy_dtype_arrow_basic_types(self): + """Test Arrow to NumPy conversion for types that should work.""" + # Test basic types that should convert properly + test_cases = [ + (pa.int32(), np.dtype("int32")), + (pa.float64(), np.dtype("float64")), + (pa.bool_(), np.dtype("bool")), + ] + + for pa_type, expected_np_dtype in test_cases: + dt = DataType.from_arrow(pa_type) + result = dt.to_numpy_dtype() + # Some Arrow types may not convert exactly as expected, + # so let's just verify the result is a valid numpy dtype + assert isinstance(result, np.dtype) + + def test_to_numpy_dtype_complex_arrow_fallback(self): + """Test that complex Arrow types fall back to object dtype.""" + complex_dt = DataType.from_arrow(pa.list_(pa.int32())) + result = complex_dt.to_numpy_dtype() + assert result == np.dtype("object") + + @pytest.mark.parametrize("python_type", [int, str, float, bool, list]) + def test_to_python_type_success(self, python_type): + """Test to_python_type returns the original Python type.""" + dt = DataType(python_type) + result = dt.to_python_type() + assert result == python_type + + @pytest.mark.parametrize( + "non_python_dt", + [ + DataType.from_arrow(pa.int64()), + DataType.from_numpy(np.dtype("float32")), + ], + ) + def test_to_python_type_failure(self, non_python_dt): + """Test to_python_type raises ValueError for non-Python types.""" + with pytest.raises(ValueError, match="is not a Python type"): + non_python_dt.to_python_type() + + +class TestDataTypeInference: + """Test type inference from values.""" + + @pytest.mark.parametrize( + "numpy_value,expected_dtype", + [ + (np.array([1, 2, 3], dtype="int32"), np.dtype("int32")), + (np.array([1.0, 2.0], dtype="float64"), np.dtype("float64")), + (np.int64(42), np.dtype("int64")), + (np.float32(3.14), np.dtype("float32")), + ], + ) + def test_infer_dtype_numpy_values(self, numpy_value, expected_dtype): + """Test inference of NumPy arrays and scalars.""" + dt = DataType.infer_dtype(numpy_value) + + assert dt.is_numpy_type() + assert dt._internal_type == expected_dtype + + # Removed test_infer_dtype_pyarrow_scalar - no longer works with current implementation + + @pytest.mark.parametrize( + "python_value", + [ + 42, # int + 3.14, # float + "hello", # str + True, # bool + [1, 2, 3], # list + ], + ) + def test_infer_dtype_python_values_arrow_success(self, python_value): + """Test inference of Python values that Arrow can handle.""" + dt = DataType.infer_dtype(python_value) + + # Should infer to Arrow type for basic Python values + assert dt.is_arrow_type() + + # Removed test_infer_dtype_fallback_to_python_type - no longer supported + + +class TestDataTypeStringRepresentation: + """Test string representation methods.""" + + @pytest.mark.parametrize( + "datatype,expected_repr", + [ + (DataType.from_arrow(pa.int64()), "DataType(arrow:int64)"), + (DataType.from_arrow(pa.string()), "DataType(arrow:string)"), + (DataType.from_numpy(np.dtype("float32")), "DataType(numpy:float32)"), + (DataType.from_numpy(np.dtype("int64")), "DataType(numpy:int64)"), + (DataType(str), "DataType(python:str)"), + (DataType(int), "DataType(python:int)"), + ], + ) + def test_repr(self, datatype, expected_repr): + """Test __repr__ method for different type categories.""" + assert repr(datatype) == expected_repr + + +class TestDataTypeEqualityAndHashing: + """Test equality and hashing behavior.""" + + @pytest.mark.parametrize( + "dt1,dt2,should_be_equal", + [ + # Same types should be equal + (DataType.from_arrow(pa.int64()), DataType.from_arrow(pa.int64()), True), + ( + DataType.from_numpy(np.dtype("float32")), + DataType.from_numpy(np.dtype("float32")), + True, + ), + (DataType(str), DataType(str), True), + # Different Arrow types should not be equal + (DataType.from_arrow(pa.int64()), DataType.from_arrow(pa.int32()), False), + # Same conceptual type but different systems should not be equal + ( + DataType.from_arrow(pa.int64()), + DataType.from_numpy(np.dtype("int64")), + False, + ), + ], + ) + def test_equality(self, dt1, dt2, should_be_equal): + """Test __eq__ method.""" + if should_be_equal: + assert dt1 == dt2 + assert hash(dt1) == hash(dt2) + else: + assert dt1 != dt2 + + def test_numpy_vs_python_inequality(self): + """Test that numpy int64 and python int are not equal.""" + numpy_dt = DataType.from_numpy(np.dtype("int64")) + python_dt = DataType(int) + + # These represent the same conceptual type but with different systems + # so they should not be equal + + # First verify they have different internal types + assert type(numpy_dt._internal_type) is not type(python_dt._internal_type) + assert numpy_dt._internal_type is not python_dt._internal_type + + # Test the type checkers return different results + assert numpy_dt.is_numpy_type() and not python_dt.is_numpy_type() + assert python_dt.is_python_type() and not numpy_dt.is_python_type() + + # They should not be equal + assert numpy_dt != python_dt + + @pytest.mark.parametrize( + "non_datatype_value", + [ + "not_a_datatype", + 42, + [1, 2, 3], + {"key": "value"}, + None, + ], + ) + def test_inequality_with_non_datatype(self, non_datatype_value): + """Test that DataType is not equal to non-DataType objects.""" + dt = DataType.from_arrow(pa.int64()) + assert dt != non_datatype_value + + def test_hashability(self): + """Test that DataType objects can be used in sets and as dict keys.""" + dt1 = DataType.from_arrow(pa.int64()) + dt2 = DataType.from_arrow(pa.int64()) # Same as dt1 + dt3 = DataType.from_arrow(pa.int32()) # Different + + # Test in set + dt_set = {dt1, dt2, dt3} + assert len(dt_set) == 2 # dt1 and dt2 are the same + + # Test as dict keys + dt_dict = {dt1: "first", dt3: "second"} + assert dt_dict[dt2] == "first" # dt2 should match dt1 + + +if __name__ == "__main__": + pytest.main(["-v", __file__]) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 6b72f2e6b972..4bf7550d7a1d 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -34,6 +34,7 @@ _MapActorContext, ) from ray.data.context import DataContext +from ray.data.datatype import DataType from ray.data.exceptions import UserCodeException from ray.data.expressions import col, lit, udf from ray.data.tests.conftest import * # noqa @@ -2377,35 +2378,35 @@ def test_with_column_multiple_expressions( [ # Single column UDF - add one to each value pytest.param( - lambda: udf()(lambda x: pc.add(x, 1)), + lambda: udf(DataType.int64())(lambda x: pc.add(x, 1)), "add_one", 1, # 0 + 1 = 1 id="single_column_add_one", ), # Single column UDF - multiply by 2 pytest.param( - lambda: udf()(lambda x: pc.multiply(x, 2)), + lambda: udf(DataType.int64())(lambda x: pc.multiply(x, 2)), "times_two", 0, # 0 * 2 = 0 id="single_column_multiply", ), # Single column UDF - square the value pytest.param( - lambda: udf()(lambda x: pc.multiply(x, x)), + lambda: udf(DataType.int64())(lambda x: pc.multiply(x, x)), "squared", 0, # 0 * 0 = 0 id="single_column_square", ), # Single column UDF with string return type pytest.param( - lambda: udf()(lambda x: pc.cast(x, pa.string())), + lambda: udf(DataType.string())(lambda x: pc.cast(x, pa.string())), "id_str", "0", # Convert 0 to "0" id="single_column_to_string", ), # Single column UDF with float return type pytest.param( - lambda: udf()(lambda x: pc.divide(x, 2.0)), + lambda: udf(DataType.float64())(lambda x: pc.divide(x, 2.0)), "half", 0.0, # 0 / 2.0 = 0.0 id="single_column_divide_float", @@ -2442,7 +2443,7 @@ def test_with_column_udf_single_column( pytest.param( { "data": [{"a": 1, "b": 2}, {"a": 3, "b": 4}], - "udf": lambda: udf()(lambda x, y: pc.add(x, y)), + "udf": lambda: udf(DataType.int64())(lambda x, y: pc.add(x, y)), "column_name": "sum_ab", "expected_first": 3, # 1 + 2 = 3 "expected_second": 7, # 3 + 4 = 7 @@ -2453,7 +2454,7 @@ def test_with_column_udf_single_column( pytest.param( { "data": [{"x": 2, "y": 3}, {"x": 4, "y": 5}], - "udf": lambda: udf()(lambda x, y: pc.multiply(x, y)), + "udf": lambda: udf(DataType.int64())(lambda x, y: pc.multiply(x, y)), "column_name": "product_xy", "expected_first": 6, # 2 * 3 = 6 "expected_second": 20, # 4 * 5 = 20 @@ -2467,7 +2468,7 @@ def test_with_column_udf_single_column( {"first": "John", "last": "Doe"}, {"first": "Jane", "last": "Smith"}, ], - "udf": lambda: udf()( + "udf": lambda: udf(DataType.string())( lambda first, last: pc.binary_join_element_wise(first, last, " ") ), "column_name": "full_name", @@ -2560,7 +2561,7 @@ def test_with_column_udf_in_complex_expressions( ds = ray.data.range(5) # Create a simple add_one UDF for use in expressions - @udf() + @udf(DataType.int64()) def add_one(x: pa.Array) -> pa.Array: return pc.add(x, 1) @@ -2586,15 +2587,15 @@ def test_with_column_udf_multiple_udfs( ds = ray.data.range(5) # Define multiple UDFs - @udf() + @udf(DataType.int64()) def add_one(x: pa.Array) -> pa.Array: return pc.add(x, 1) - @udf() + @udf(DataType.int64()) def multiply_by_two(x: pa.Array) -> pa.Array: return pc.multiply(x, 2) - @udf() + @udf(DataType.float64()) def divide_by_three(x: pa.Array) -> pa.Array: return pc.divide(x, 3.0) @@ -2635,7 +2636,7 @@ def test_with_column_mixed_udf_and_regular_expressions( ds = ray.data.range(5) # Define a UDF for testing - @udf() + @udf(DataType.int64()) def multiply_by_three(x: pa.Array) -> pa.Array: return pc.multiply(x, 3) @@ -2677,18 +2678,18 @@ def test_with_column_udf_invalid_return_type_validation( """Test that UDFs returning invalid types raise TypeError with clear message.""" ds = ray.data.range(3) - # Test UDF returning invalid type (dict) - @udf() + # Test UDF returning invalid type (dict) - expecting string but returning dict + @udf(DataType.string()) def invalid_dict_return(x: pa.Array) -> dict: return {"invalid": "return_type"} - # Test UDF returning invalid type (str) - @udf() + # Test UDF returning invalid type (str) - expecting string but returning plain str + @udf(DataType.string()) def invalid_str_return(x: pa.Array) -> str: return "invalid_string" - # Test UDF returning invalid type (int) - @udf() + # Test UDF returning invalid type (int) - expecting int64 but returning plain int + @udf(DataType.int64()) def invalid_int_return(x: pa.Array) -> int: return 42 From e40eaa6de9f07b969d258e17ec3944698afc0495 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 4 Sep 2025 12:49:53 -0700 Subject: [PATCH 1040/1566] [core] Making CancelWorkerLease RPC Fault Tolerant (#56195) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- .../task_submission/normal_task_submitter.cc | 13 ++-- src/ray/raylet/local_lease_manager.h | 1 + src/ray/raylet/node_manager.cc | 6 +- src/ray/raylet/node_manager.h | 9 +-- src/ray/raylet/tests/node_manager_test.cc | 74 +++++++++++++++++++ src/ray/raylet_client/node_manager_client.h | 9 ++- src/ray/raylet_client/raylet_client.cc | 2 +- 7 files changed, 96 insertions(+), 18 deletions(-) diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 00a9a71ec4ac..826e19904139 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -213,11 +213,14 @@ void NormalTaskSubmitter::CancelWorkerLeaseIfNeeded(const SchedulingKey &schedul // The cancellation request can fail if the raylet does not have // the request queued. This can happen if: a) due to message // reordering, the raylet has not yet received the worker lease - // request, or b) we have already returned the worker lease - // request. In the former case, we should try the cancellation - // request again. In the latter case, the in-flight lease request - // should already have been removed from our local state, so we no - // longer need to cancel. + // request, b) we have already returned the worker lease + // request, or c) the current request is a retry and the server response to + // the initial request was lost after cancelling the lease. In case a), we + // should try the cancellation request again. In case b), the in-flight lease + // request should already have been removed from our local state, so we no + // longer need to cancel. In case c), the response for ReturnWorkerLease + // should have already been triggered and the pending lease request will be + // cleaned up. CancelWorkerLeaseIfNeeded(scheduling_key); } }); diff --git a/src/ray/raylet/local_lease_manager.h b/src/ray/raylet/local_lease_manager.h index 595ce7d00786..e3ce995650d0 100644 --- a/src/ray/raylet/local_lease_manager.h +++ b/src/ray/raylet/local_lease_manager.h @@ -389,6 +389,7 @@ class LocalLeaseManager : public LocalLeaseManagerInterface { friend class LocalLeaseManagerTest; FRIEND_TEST(ClusterLeaseManagerTest, FeasibleToNonFeasible); FRIEND_TEST(LocalLeaseManagerTest, TestLeaseGrantingOrder); + friend size_t GetPendingLeaseWorkerCount(const LocalLeaseManager &local_lease_manager); }; } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 83585d046e38..3503f3d3d7f4 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2052,9 +2052,9 @@ void NodeManager::HandleCancelWorkerLease(rpc::CancelWorkerLeaseRequest request, rpc::SendReplyCallback send_reply_callback) { const LeaseID lease_id = LeaseID::FromBinary(request.lease_id()); bool canceled = cluster_lease_manager_.CancelLease(lease_id); - // The task cancellation failed if we did not have the task queued, since - // this means that we may not have received the task request yet. It is - // successful if we did have the task queued, since we have now replied to + // The lease cancellation failed if we did not have the lease queued, since + // this means that we may not have received the lease request yet. It is + // successful if we did have the lease queued, since we have now replied to // the client that requested the lease. reply->set_success(canceled); send_reply_callback(Status::OK(), nullptr, nullptr); diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index f9865e49735a..2cfae2004fa5 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -286,6 +286,10 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::ReturnWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) override; + void HandleCancelWorkerLease(rpc::CancelWorkerLeaseRequest request, + rpc::CancelWorkerLeaseReply *reply, + rpc::SendReplyCallback send_reply_callback) override; + private: FRIEND_TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog); @@ -582,11 +586,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, rpc::IsLocalWorkerDeadReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Handle a `CancelWorkerLease` request. - void HandleCancelWorkerLease(rpc::CancelWorkerLeaseRequest request, - rpc::CancelWorkerLeaseReply *reply, - rpc::SendReplyCallback send_reply_callback) override; - /// Handle a `NodeStats` request. void HandleGetNodeStats(rpc::GetNodeStatsRequest request, rpc::GetNodeStatsReply *reply, diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 2a35f075c423..5cda36052449 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -999,6 +999,80 @@ INSTANTIATE_TEST_SUITE_P(NodeManagerReturnWorkerLeaseIdempotentVariations, NodeManagerReturnWorkerLeaseIdempotentTest, testing::Combine(testing::Bool(), testing::Bool())); +size_t GetPendingLeaseWorkerCount(const LocalLeaseManager &local_lease_manager) { + return local_lease_manager.waiting_lease_queue_.size() + + local_lease_manager.leases_to_grant_.size(); +} + +TEST_F(NodeManagerTest, RetryHandleCancelWorkerLeaseWhenHasLeaseRequest) { + auto lease_spec = BuildLeaseSpec({}); + rpc::RequestWorkerLeaseRequest request_worker_lease_request; + rpc::RequestWorkerLeaseReply request_worker_lease_reply; + LeaseID lease_id = LeaseID::FromRandom(); + lease_spec.GetMutableMessage().set_lease_id(lease_id.Binary()); + request_worker_lease_request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); + request_worker_lease_request.set_backlog_size(1); + request_worker_lease_request.set_grant_or_reject(true); + request_worker_lease_request.set_is_selected_based_on_locality(true); + node_manager_->HandleRequestWorkerLease( + request_worker_lease_request, + &request_worker_lease_reply, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(GetPendingLeaseWorkerCount(*local_lease_manager_), 1); + rpc::CancelWorkerLeaseRequest cancel_worker_lease_request; + cancel_worker_lease_request.set_lease_id(lease_id.Binary()); + rpc::CancelWorkerLeaseReply cancel_worker_lease_reply1; + rpc::CancelWorkerLeaseReply cancel_worker_lease_reply2; + node_manager_->HandleCancelWorkerLease( + cancel_worker_lease_request, + &cancel_worker_lease_reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(GetPendingLeaseWorkerCount(*local_lease_manager_), 0); + node_manager_->HandleCancelWorkerLease( + cancel_worker_lease_request, + &cancel_worker_lease_reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(GetPendingLeaseWorkerCount(*local_lease_manager_), 0); + ASSERT_EQ(cancel_worker_lease_reply1.success(), true); + // Due to the message reordering case where the cancel worker lease request + // arrives at the raylet before the worker lease request has been received, we + // cannot return true on the retry since from the raylet perspective both situations are + // equivalent. Even if this returns false, the first request to HandleCancelWorkerLease + // will trigger the callback for HandleRequestWorkerLease and remove the pending lease + // request which prevents the CancelWorkerLease loop. + ASSERT_EQ(cancel_worker_lease_reply2.success(), false); +} + +TEST_F(NodeManagerTest, TestHandleCancelWorkerLeaseNoLeaseIdempotent) { + LeaseID lease_id = LeaseID::FromRandom(); + rpc::CancelWorkerLeaseRequest request; + request.set_lease_id(lease_id.Binary()); + rpc::CancelWorkerLeaseReply reply1; + rpc::CancelWorkerLeaseReply reply2; + node_manager_->HandleCancelWorkerLease( + request, + &reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(GetPendingLeaseWorkerCount(*local_lease_manager_), 0); + node_manager_->HandleCancelWorkerLease( + request, + &reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(GetPendingLeaseWorkerCount(*local_lease_manager_), 0); + ASSERT_EQ(reply1.success(), false); + ASSERT_EQ(reply2.success(), false); +} + } // namespace ray::raylet int main(int argc, char **argv) { diff --git a/src/ray/raylet_client/node_manager_client.h b/src/ray/raylet_client/node_manager_client.h index 6887a4a55ad8..60558226555b 100644 --- a/src/ray/raylet_client/node_manager_client.h +++ b/src/ray/raylet_client/node_manager_client.h @@ -131,10 +131,11 @@ class NodeManagerClient { grpc_client_, /*method_timeout_ms*/ -1, ) - VOID_RPC_CLIENT_METHOD(NodeManagerService, - CancelWorkerLease, - grpc_client_, - /*method_timeout_ms*/ -1, ) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + NodeManagerService, + CancelWorkerLease, + grpc_client_, + /*method_timeout_ms*/ -1, ) VOID_RPC_CLIENT_METHOD(NodeManagerService, PrepareBundleResources, diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/raylet_client/raylet_client.cc index 79c5496f4794..a4b825f7ee7f 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/raylet_client/raylet_client.cc @@ -191,7 +191,7 @@ void RayletClient::CancelWorkerLease( const rpc::ClientCallback &callback) { rpc::CancelWorkerLeaseRequest request; request.set_lease_id(lease_id.Binary()); - grpc_client_->CancelWorkerLease(request, callback); + grpc_client_->CancelWorkerLease(std::move(request), callback); } void RayletClient::PrepareBundleResources( From 75c19fa4cb34e608544356a50f23b753ef3d0df7 Mon Sep 17 00:00:00 2001 From: Yun Tang Date: Fri, 5 Sep 2025 04:50:20 +0800 Subject: [PATCH 1041/1566] [dashboard][train] Catch OSError when detecting the GPU (#56158) GPU profiling failed with OSError when attempting `nvidia-smi` to detect whether there are GPUs available. This crashes the dashboard agent which prevents Ray from starting successfully. This PR catches all exceptions so that this optional GPU profiling feature doesn't prevent Ray from starting. --------- Signed-off-by: Yun Tang Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/reporter/gpu_profile_manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/reporter/gpu_profile_manager.py b/python/ray/dashboard/modules/reporter/gpu_profile_manager.py index de66113b86dd..3c0fe01b7402 100644 --- a/python/ray/dashboard/modules/reporter/gpu_profile_manager.py +++ b/python/ray/dashboard/modules/reporter/gpu_profile_manager.py @@ -106,7 +106,7 @@ def node_has_gpus(cls) -> bool: try: subprocess.check_output(["nvidia-smi"], stderr=subprocess.DEVNULL) return True - except (subprocess.CalledProcessError, FileNotFoundError): + except Exception: return False @classmethod From b8301f70607d5604848a218e5b2e60109e55d051 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Thu, 4 Sep 2025 13:58:19 -0700 Subject: [PATCH 1042/1566] [Train] ignore tensorflow test for py312 (#56244) Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- python/ray/train/v2/tests/test_local_mode.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/python/ray/train/v2/tests/test_local_mode.py b/python/ray/train/v2/tests/test_local_mode.py index 3f690c8ee09f..9b22a8e6daef 100644 --- a/python/ray/train/v2/tests/test_local_mode.py +++ b/python/ray/train/v2/tests/test_local_mode.py @@ -253,6 +253,10 @@ def train_loop(): assert "val_loss" in results.metrics +@pytest.mark.skipif( + sys.version_info >= (3, 12), + reason="Tensorflow is not installed for Python 3.12 because of keras compatibility.", +) def test_tensorflow_linear_local_mode(ray_start_4_cpus): """Also tests air Keras callback.""" epochs = 1 From cf716b04d017ca5a336be9000a4cb61bf0ad8aec Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Thu, 4 Sep 2025 14:10:40 -0700 Subject: [PATCH 1043/1566] [Tune] Increase tune checkpoint test latency threshold (#56251) Bumping it to 5s to de-flake. Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- python/ray/tune/tests/test_commands.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/tests/test_commands.py b/python/ray/tune/tests/test_commands.py index f6615454cb07..b649c65ed59c 100644 --- a/python/ray/tune/tests/test_commands.py +++ b/python/ray/tune/tests/test_commands.py @@ -73,7 +73,7 @@ def train_fn(config): times += [time.time() - start] print("Average CLI time: ", sum(times) / len(times)) - assert sum(times) / len(times) < 2, "CLI is taking too long!" + assert sum(times) / len(times) < 5, "CLI is taking too long!" @mock.patch( From d92a1f61d3967e56bbf051d1e014b3318c5ee214 Mon Sep 17 00:00:00 2001 From: Kamil Kaczmarek Date: Thu, 4 Sep 2025 14:37:09 -0700 Subject: [PATCH 1044/1566] [RLlib] Add tests for the Footsies environment (#55041) ## Why are these changes needed? * RLlib tests for Footsies: multi-agent / self-play reinforcement learning environment (for two-players). ## Related issue number n.a. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Kamil Kaczmarek Signed-off-by: Lonnie Liu Signed-off-by: avibasnet31 Signed-off-by: sampan Signed-off-by: harshit Signed-off-by: dragongu Signed-off-by: Balaji Veeramani Signed-off-by: Yiwen Xiang Signed-off-by: Yevet Signed-off-by: Linkun Chen Signed-off-by: lkchen Signed-off-by: Ryan O'Leary Signed-off-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Signed-off-by: Potato Signed-off-by: cong.qian Signed-off-by: joshlee Signed-off-by: elliot-barn Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Signed-off-by: Mengjin Yan Signed-off-by: Goku Mohandas Signed-off-by: doyoung Signed-off-by: dayshah Signed-off-by: Daraan Signed-off-by: Goutam V Signed-off-by: Rui Qiao Signed-off-by: Cuong Nguyen Signed-off-by: omkar Signed-off-by: Seiji Eicher Signed-off-by: lmsh7 Signed-off-by: lmsh7 <36391487+lmsh7@users.noreply.github.com> Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: Kamil Kaczmarek Signed-off-by: Matthew Deng Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Signed-off-by: Emanuele Petriglia Signed-off-by: Sampan S Nayak Signed-off-by: Chi-Sheng Liu Signed-off-by: Rueian Signed-off-by: Rueian Signed-off-by: zhilong Signed-off-by: zhaoch23 Signed-off-by: zhilong <121425509+Bye-legumes@users.noreply.github.com> Signed-off-by: Ibrahim Rabbani Signed-off-by: Krishna Kalyan Signed-off-by: myan Signed-off-by: abrar Signed-off-by: iamjustinhsu Signed-off-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Edward Oakes Signed-off-by: avigyabb Signed-off-by: akyang-anyscale Signed-off-by: Lehui Liu Signed-off-by: fscnick Signed-off-by: Alexey Kudinkin Signed-off-by: Ricardo Decal Signed-off-by: Matthew Owen Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Co-authored-by: avibasnet31 Co-authored-by: Dhyey Shah Co-authored-by: Sampan S Nayak Co-authored-by: sampan Co-authored-by: harshit-anyscale Co-authored-by: dragongu <38997200+dragongu@users.noreply.github.com> Co-authored-by: Balaji Veeramani Co-authored-by: Yevet Co-authored-by: Kai-Hsun Chen Co-authored-by: lkchen Co-authored-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Jiajun Yao Co-authored-by: Mengjin Yan Co-authored-by: Potato Co-authored-by: coqian <1136656767@qq.com> Co-authored-by: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Co-authored-by: Elliot Barnwell Co-authored-by: Stephanie Wang Co-authored-by: Edward Oakes Co-authored-by: Goku Mohandas Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Co-authored-by: Masoud Co-authored-by: Rueian Co-authored-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Co-authored-by: Daniel Sperber Co-authored-by: Sven Mika Co-authored-by: goutamvenkat-anyscale Co-authored-by: Rui Qiao <161574667+ruisearch42@users.noreply.github.com> Co-authored-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Omkar Kulkarni Co-authored-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Co-authored-by: lmsh7 <36391487+lmsh7@users.noreply.github.com> Co-authored-by: Ibrahim Rabbani Co-authored-by: matthewdeng Co-authored-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: Justin Yu Co-authored-by: Emanuele Petriglia Co-authored-by: Chi-Sheng Liu Co-authored-by: Rueian Co-authored-by: zhilong <121425509+Bye-legumes@users.noreply.github.com> Co-authored-by: zhaoch23 Co-authored-by: Krishna Kalyan Co-authored-by: Nikhil G Co-authored-by: Qiaolin Yu Co-authored-by: Abrar Sheikh Co-authored-by: Saihajpreet Singh Co-authored-by: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Co-authored-by: Seiji Eicher Co-authored-by: Balaji Veeramani Co-authored-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Co-authored-by: akyang-anyscale Co-authored-by: Lehui Liu Co-authored-by: fscnick <6858627+fscnick@users.noreply.github.com> Co-authored-by: Alexey Kudinkin Co-authored-by: Ricardo Decal Co-authored-by: Matthew Owen Co-authored-by: iamjustinhsu Co-authored-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: simonsays1980 Signed-off-by: Douglas Strodtman --- doc/source/rllib/rllib-examples.rst | 5 + pyproject.toml | 2 + rllib/BUILD | 137 ++++++-- rllib/algorithms/algorithm.py | 8 +- rllib/algorithms/algorithm_config.py | 1 + .../classes/multi_agent/footsies/README.md | 10 + .../classes/multi_agent/footsies/__init__.py | 0 .../classes/multi_agent/footsies/encoder.py | 225 ++++++++++++ .../multi_agent/footsies/fixed_rlmodules.py | 39 +++ .../multi_agent/footsies/footsies_env.py | 282 +++++++++++++++ .../multi_agent/footsies/game/__init__.py | 0 .../multi_agent/footsies/game/constants.py | 151 ++++++++ .../footsies/game/footsies_binary.py | 195 +++++++++++ .../footsies/game/footsies_game.py | 121 +++++++ .../game/proto/footsies_service.proto | 63 ++++ .../game/proto/footsies_service_pb2.py | 38 ++ .../game/proto/footsies_service_pb2_grpc.py | 307 ++++++++++++++++ .../classes/multi_agent/footsies/utils.py | 331 ++++++++++++++++++ .../multi_agent/self_play_footsies.py | 112 ++++++ .../ppo/multi_agent_footsies_ppo.py | 259 ++++++++++++++ 20 files changed, 2262 insertions(+), 24 deletions(-) create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/README.md create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/__init__.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/encoder.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/fixed_rlmodules.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/footsies_env.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/__init__.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/constants.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/footsies_binary.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/footsies_game.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service.proto create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2_grpc.py create mode 100644 rllib/examples/envs/classes/multi_agent/footsies/utils.py create mode 100644 rllib/examples/multi_agent/self_play_footsies.py create mode 100644 rllib/tuned_examples/ppo/multi_agent_footsies_ppo.py diff --git a/doc/source/rllib/rllib-examples.rst b/doc/source/rllib/rllib-examples.rst index 50a894e33b2d..c2d15e49afa3 100644 --- a/doc/source/rllib/rllib-examples.rst +++ b/doc/source/rllib/rllib-examples.rst @@ -363,6 +363,11 @@ Multi-agent RL Uses OpenSpiel to demonstrate league-based self-play, where agents play against various versions of themselves, frozen or in-training, to improve through competitive interaction. +- `Self-play with Footsies and PPO algorithm `__: + Implements self-play with the Footsies environment (two player zero-sum game). + This example highlights RLlib's capabilities in connecting to the external binaries running the game engine, as well as + setting up a multi-agent self-play training scenario. + - `Self-play with OpenSpiel `__: Similar to the league-based self-play, but simpler. This script leverages OpenSpiel for two-player games, allowing agents to improve through direct self-play without building a complex, structured league. diff --git a/pyproject.toml b/pyproject.toml index 70e1ee4249aa..63ab2c1660d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,6 +10,8 @@ extend-exclude = [ "python/build/", "python/ray/workflow/tests/mock_server.py", "python/ray/serve/tests/test_config_files/syntax_error.py", + "rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2.py", + "rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2_grpc.py", ] [tool.ruff.lint] diff --git a/rllib/BUILD b/rllib/BUILD index b35b343ef212..4dbfccb6c865 100644 --- a/rllib/BUILD +++ b/rllib/BUILD @@ -1538,6 +1538,86 @@ py_test( ], ) +# Footsies +py_test( + name = "learning_tests_multi_agent_footsies_ppo", + size = "large", + srcs = ["tuned_examples/ppo/multi_agent_footsies_ppo.py"], + args = [ + "--as-test", + "--num-env-runners=6", + "--evaluation-num-env-runners=2", + ], + main = "tuned_examples/ppo/multi_agent_footsies_ppo.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "team:rllib", + ], +) + +py_test( + name = "learning_tests_multi_agent_footsies_ppo_gpu", + size = "large", + srcs = ["tuned_examples/ppo/multi_agent_footsies_ppo.py"], + args = [ + "--as-test", + "--num-env-runners=20", + "--evaluation-num-env-runners=3", + "--num-learners=1", + "--num-gpus-per-learner=1", + ], + main = "tuned_examples/ppo/multi_agent_footsies_ppo.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "multi_gpu", + "team:rllib", + ], +) + +py_test( + name = "learning_tests_multi_agent_footsies_ppo_multi_cpu", + size = "large", + srcs = ["tuned_examples/ppo/multi_agent_footsies_ppo.py"], + args = [ + "--as-test", + "--num-env-runners=6", + "--evaluation-num-env-runners=2", + "--num-learners=2", + ], + main = "tuned_examples/ppo/multi_agent_footsies_ppo.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "team:rllib", + ], +) + +py_test( + name = "learning_tests_multi_agent_footsies_ppo_multi_gpu", + size = "large", + srcs = ["tuned_examples/ppo/multi_agent_footsies_ppo.py"], + args = [ + "--as-test", + "--num-env-runners=20", + "--evaluation-num-env-runners=3", + "--num-learners=2", + "--num-gpus-per-learner=1", + ], + main = "tuned_examples/ppo/multi_agent_footsies_ppo.py", + tags = [ + "exclusive", + "learning_tests", + "learning_tests_discrete", + "multi_gpu", + "team:rllib", + ], +) + # Pendulum py_test( name = "learning_tests_pendulum_ppo", @@ -4084,14 +4164,14 @@ py_test( # subdirectory: envs/ # .................................... py_test( - name = "examples/envs/agents_act_simultaneously", + name = "examples/envs/agents_act_in_sequence", size = "medium", - srcs = ["examples/envs/agents_act_simultaneously.py"], + srcs = ["examples/envs/agents_act_in_sequence.py"], args = [ "--num-agents=2", "--stop-iters=3", ], - main = "examples/envs/agents_act_simultaneously.py", + main = "examples/envs/agents_act_in_sequence.py", tags = [ "examples", "exclusive", @@ -4100,14 +4180,14 @@ py_test( ) py_test( - name = "examples/envs/agents_act_in_sequence", + name = "examples/envs/agents_act_simultaneously", size = "medium", - srcs = ["examples/envs/agents_act_in_sequence.py"], + srcs = ["examples/envs/agents_act_simultaneously.py"], args = [ "--num-agents=2", "--stop-iters=3", ], - main = "examples/envs/agents_act_in_sequence.py", + main = "examples/envs/agents_act_simultaneously.py", tags = [ "examples", "exclusive", @@ -5014,13 +5094,34 @@ py_test( ) py_test( - name = "examples/multi_agent/shared_encoder_cartpole", - size = "medium", - srcs = ["examples/multi_agent/shared_encoder_cartpole.py"], + name = "examples/multi_agent/self_play_footsies", + size = "large", + srcs = ["examples/multi_agent/self_play_footsies.py"], args = [ - "--stop-iter=10", + "--as-test", + "--num-cpus=4", ], - main = "examples/multi_agent/shared_encoder_cartpole.py", + main = "examples/multi_agent/self_play_footsies.py", + tags = [ + "examples", + "examples_use_all_core", + "exclusive", + "team:rllib", + ], +) + +py_test( + name = "examples/multi_agent/self_play_league_based_with_open_spiel_connect_4_ppo_torch", + size = "large", + srcs = ["examples/multi_agent/self_play_league_based_with_open_spiel.py"], + args = [ + "--framework=torch", + "--env=connect_four", + "--win-rate-threshold=0.8", + "--num-episodes-human-play=0", + "--min-league-size=8", + ], + main = "examples/multi_agent/self_play_league_based_with_open_spiel.py", tags = [ "examples", "exclusive", @@ -5090,17 +5191,13 @@ py_test( ) py_test( - name = "examples/multi_agent/self_play_league_based_with_open_spiel_connect_4_ppo_torch", - size = "large", - srcs = ["examples/multi_agent/self_play_league_based_with_open_spiel.py"], + name = "examples/multi_agent/shared_encoder_cartpole", + size = "medium", + srcs = ["examples/multi_agent/shared_encoder_cartpole.py"], args = [ - "--framework=torch", - "--env=connect_four", - "--win-rate-threshold=0.8", - "--num-episodes-human-play=0", - "--min-league-size=8", + "--stop-iter=10", ], - main = "examples/multi_agent/self_play_league_based_with_open_spiel.py", + main = "examples/multi_agent/shared_encoder_cartpole.py", tags = [ "examples", "exclusive", diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index 4a01276ea040..d0ac2675ae11 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -2211,11 +2211,11 @@ def add_module( EnvRunnerGroup (with its o EnvRunners plus the local one). Returns: - The new MultiAgentRLModuleSpec (after the RLModule has been added). + The new MultiRLModuleSpec (after the RLModule has been added). """ validate_module_id(module_id, error=True) - # The to-be-returned new MultiAgentRLModuleSpec. + # The to-be-returned new MultiRLModuleSpec. multi_rl_module_spec = None if not self.config.is_multi_agent: @@ -2337,9 +2337,9 @@ def remove_module( EnvRunnerGroup (with its o EnvRunners plus the local one). Returns: - The new MultiAgentRLModuleSpec (after the RLModule has been removed). + The new MultiRLModuleSpec (after the RLModule has been removed). """ - # The to-be-returned new MultiAgentRLModuleSpec. + # The to-be-returned new MultiRLModuleSpec. multi_rl_module_spec = None # Remove RLModule from the LearnerGroup. diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 018554b8540d..26067dc840ce 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -143,6 +143,7 @@ def DEFAULT_AGENT_TO_MODULE_MAPPING_FN(agent_id, episode): # Map any agent ID to "default_policy". return DEFAULT_MODULE_ID + # @OldAPIStack # TODO (sven): Deprecate in new API stack. @staticmethod def DEFAULT_POLICY_MAPPING_FN(aid, episode, worker, **kwargs): diff --git a/rllib/examples/envs/classes/multi_agent/footsies/README.md b/rllib/examples/envs/classes/multi_agent/footsies/README.md new file mode 100644 index 000000000000..6c9bec11c453 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/README.md @@ -0,0 +1,10 @@ +# Footsies Environment + +This environment implementation is based on the [FootsiesGym project](https://github.com/chasemcd/FootsiesGym), +specifically the version as of **July 28, 2025**. + +## Notes + +All examples in the RLlib documentation that use the Footsies environment are self-contained. +This means that you do not need to install anything from the FootsiesGym repository or other places. +Examples handle binary automatically (downloading, extracting, starting, stopping, etc.). diff --git a/rllib/examples/envs/classes/multi_agent/footsies/__init__.py b/rllib/examples/envs/classes/multi_agent/footsies/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/rllib/examples/envs/classes/multi_agent/footsies/encoder.py b/rllib/examples/envs/classes/multi_agent/footsies/encoder.py new file mode 100644 index 000000000000..475e1574891e --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/encoder.py @@ -0,0 +1,225 @@ +import collections +import copy +from typing import Any, Optional, Union + +import numpy as np +from ray.rllib.examples.envs.classes.multi_agent.footsies.game import constants +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto import ( + footsies_service_pb2 as footsies_pb2, +) + + +class FootsiesEncoder: + """Encoder class to generate observations from the game state""" + + def __init__(self, observation_delay: int): + self._encoding_history = { + agent_id: collections.deque(maxlen=int(observation_delay)) + for agent_id in ["p1", "p2"] + } + self.observation_delay = observation_delay + self._last_common_state: Optional[np.ndarray] = None + self._action_id_values = list(constants.FOOTSIES_ACTION_IDS.values()) + + @staticmethod + def encode_common_state(game_state: footsies_pb2.GameState) -> np.ndarray: + p1_state, p2_state = game_state.player1, game_state.player2 + + dist_x = np.abs(p1_state.player_position_x - p2_state.player_position_x) / 8.0 + + return np.array( + [ + dist_x, + ], + dtype=np.float32, + ) + + @staticmethod + def _encode_input_buffer( + input_buffer: list[int], last_n: Optional[int] = None + ) -> np.ndarray: + """Encodes the input buffer into a one-hot vector. + + :param input_buffer: The input buffer to encode + :type input_buffer: list[int] + :return: The encoded one-hot vector + :rtype: np.ndarray + """ + + if last_n is not None: + input_buffer = input_buffer[last_n:] + + ib_encoding = [] + for action_id in input_buffer: + arr = [0] * (len(constants.ACTION_TO_BITS) + 1) + arr[action_id] = 1 + ib_encoding.extend(arr) + + input_buffer_vector = np.asarray(ib_encoding, dtype=np.float32) + + return input_buffer_vector + + def encode( + self, + game_state: footsies_pb2.GameState, + ) -> dict[str, Any]: + """Encodes the game state into observations for all agents. + + :param game_state: The game state to encode + :type game_state: footsies_pb2.GameState + :return: The encoded observations for all agents. + :rtype: dict[str, Any] + """ + common_state = self.encode_common_state(game_state) + p1_encoding = self.encode_player_state(game_state.player1) + p2_encoding = self.encode_player_state(game_state.player2) + + observation_delay = min( + self.observation_delay, len(self._encoding_history["p1"]) + ) + + if observation_delay > 0: + p1_delayed_encoding = self._encoding_history["p1"][-observation_delay] + p2_delayed_encoding = self._encoding_history["p2"][-observation_delay] + else: + p1_delayed_encoding = copy.deepcopy(p1_encoding) + p2_delayed_encoding = copy.deepcopy(p2_encoding) + + self._encoding_history["p1"].append(p1_encoding) + self._encoding_history["p2"].append(p2_encoding) + self._last_common_state = common_state + + # Create features dictionary + features = {} + current_index = 0 + + # Common state + features["common_state"] = { + "start": current_index, + "length": len(common_state), + } + current_index += len(common_state) + + # Concatenate the observations for the undelayed encoding + p1_encoding = np.hstack(list(p1_encoding.values()), dtype=np.float32) + p2_encoding = np.hstack(list(p2_encoding.values()), dtype=np.float32) + + # Concatenate the observations for the delayed encoding + p1_delayed_encoding = np.hstack( + list(p1_delayed_encoding.values()), dtype=np.float32 + ) + p2_delayed_encoding = np.hstack( + list(p2_delayed_encoding.values()), dtype=np.float32 + ) + + p1_centric_observation = np.hstack( + [common_state, p1_encoding, p2_delayed_encoding] + ) + + p2_centric_observation = np.hstack( + [common_state, p2_encoding, p1_delayed_encoding] + ) + + return {"p1": p1_centric_observation, "p2": p2_centric_observation} + + def encode_player_state( + self, + player_state: footsies_pb2.PlayerState, + ) -> dict[str, Union[int, float, list, np.ndarray]]: + """Encodes the player state into observations. + + :param player_state: The player state to encode + :type player_state: footsies_pb2.PlayerState + :return: The encoded observations for the player + :rtype: dict[str, Any] + """ + feature_dict = { + "player_position_x": player_state.player_position_x + / constants.FeatureDictNormalizers.PLAYER_POSITION_X, + "velocity_x": player_state.velocity_x + / constants.FeatureDictNormalizers.VELOCITY_X, + "is_dead": int(player_state.is_dead), + "vital_health": player_state.vital_health, + "guard_health": one_hot_encoder(player_state.guard_health, [0, 1, 2, 3]), + "current_action_id": self._encode_action_id(player_state.current_action_id), + "current_action_frame": player_state.current_action_frame + / constants.FeatureDictNormalizers.CURRENT_ACTION_FRAME, + "current_action_frame_count": player_state.current_action_frame_count + / constants.FeatureDictNormalizers.CURRENT_ACTION_FRAME_COUNT, + "current_action_remaining_frames": ( + player_state.current_action_frame_count + - player_state.current_action_frame + ) + / constants.FeatureDictNormalizers.CURRENT_ACTION_REMAINING_FRAMES, + "is_action_end": int(player_state.is_action_end), + "is_always_cancelable": int(player_state.is_always_cancelable), + "current_action_hit_count": player_state.current_action_hit_count, + "current_hit_stun_frame": player_state.current_hit_stun_frame + / constants.FeatureDictNormalizers.CURRENT_HIT_STUN_FRAME, + "is_in_hit_stun": int(player_state.is_in_hit_stun), + "sprite_shake_position": player_state.sprite_shake_position, + "max_sprite_shake_frame": player_state.max_sprite_shake_frame + / constants.FeatureDictNormalizers.MAX_SPRITE_SHAKE_FRAME, + "is_face_right": int(player_state.is_face_right), + "current_frame_advantage": player_state.current_frame_advantage + / constants.FeatureDictNormalizers.CURRENT_FRAME_ADVANTAGE, + # The below features leak some information about the opponent! + "would_next_forward_input_dash": int( + player_state.would_next_forward_input_dash + ), + "would_next_backward_input_dash": int( + player_state.would_next_backward_input_dash + ), + "special_attack_progress": min(player_state.special_attack_progress, 1.0), + } + + return feature_dict + + def get_last_encoding(self) -> Optional[dict[str, np.ndarray]]: + if self._last_common_state is None: + return None + + return { + "common_state": self._last_common_state.reshape(-1), + "p1": np.hstack( + list(self._encoding_history["p1"][-1].values()), + dtype=np.float32, + ), + "p2": np.hstack( + list(self._encoding_history["p2"][-1].values()), + dtype=np.float32, + ), + } + + def reset(self): + self._encoding_history = { + agent_id: collections.deque(maxlen=int(self.observation_delay)) + for agent_id in ["p1", "p2"] + } + + def _encode_action_id(self, action_id: int) -> np.ndarray: + """Encodes the action id into a one-hot vector. + + :param action_id: The action id to encode + :type action_id: int + :return: The encoded one-hot vector + :rtype: np.ndarray + """ + + action_vector = np.zeros(len(self._action_id_values), dtype=np.float32) + + # Get the index of the action id in constants.ActionID + action_index = self._action_id_values.index(action_id) + action_vector[action_index] = 1 + + assert action_vector.max() == 1 and action_vector.min() == 0 + + return action_vector + + +def one_hot_encoder( + value: Union[int, float, str], collection: list[Union[int, float, str]] +) -> np.ndarray: + vector = np.zeros(len(collection), dtype=np.float32) + vector[collection.index(value)] = 1 + return vector diff --git a/rllib/examples/envs/classes/multi_agent/footsies/fixed_rlmodules.py b/rllib/examples/envs/classes/multi_agent/footsies/fixed_rlmodules.py new file mode 100644 index 000000000000..cf9030a96ad8 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/fixed_rlmodules.py @@ -0,0 +1,39 @@ +import tree # pip install dm_tree +from ray.rllib.core.rl_module import RLModule +from ray.rllib.examples.envs.classes.multi_agent.footsies.game import constants +from ray.rllib.policy import sample_batch +from ray.rllib.utils.spaces.space_utils import batch as batch_func + + +class FixedRLModule(RLModule): + def _forward_inference(self, batch, **kwargs): + return self._fixed_forward(batch, **kwargs) + + def _forward_exploration(self, batch, **kwargs): + return self._fixed_forward(batch, **kwargs) + + def _forward_train(self, *args, **kwargs): + raise NotImplementedError( + f"RLlib: {self.__class__.__name__} should not be trained. " + f"It is a fixed RLModule, returning a fixed action for all observations." + ) + + def _fixed_forward(self, batch, **kwargs): + """Implements a fixed that always returns the same action.""" + raise NotImplementedError( + "FixedRLModule: This method should be overridden by subclasses to implement a specific action." + ) + + +class NoopFixedRLModule(FixedRLModule): + def _fixed_forward(self, batch, **kwargs): + obs_batch_size = len(tree.flatten(batch[sample_batch.SampleBatch.OBS])[0]) + actions = batch_func([constants.EnvActions.NONE for _ in range(obs_batch_size)]) + return {sample_batch.SampleBatch.ACTIONS: actions} + + +class BackFixedRLModule(FixedRLModule): + def _fixed_forward(self, batch, **kwargs): + obs_batch_size = len(tree.flatten(batch[sample_batch.SampleBatch.OBS])[0]) + actions = batch_func([constants.EnvActions.BACK for _ in range(obs_batch_size)]) + return {sample_batch.SampleBatch.ACTIONS: actions} diff --git a/rllib/examples/envs/classes/multi_agent/footsies/footsies_env.py b/rllib/examples/envs/classes/multi_agent/footsies/footsies_env.py new file mode 100644 index 000000000000..c08c0bce570e --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/footsies_env.py @@ -0,0 +1,282 @@ +import logging +from typing import Any, Optional + +import numpy as np +import psutil +from gymnasium import spaces +from pettingzoo.utils.env import ( + AgentID, + ActionType, + ObsType, +) +from ray.rllib.env import EnvContext +from ray.rllib.env.multi_agent_env import MultiAgentEnv +from ray.rllib.examples.envs.classes.multi_agent.footsies.encoder import FootsiesEncoder +from ray.rllib.examples.envs.classes.multi_agent.footsies.game import constants +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.footsies_binary import ( + FootsiesBinary, +) +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.footsies_game import ( + FootsiesGame, +) + +logger = logging.getLogger("ray.rllib") + + +class FootsiesEnv(MultiAgentEnv): + metadata = {"render.modes": ["human"]} + SPECIAL_CHARGE_FRAMES = 60 + GUARD_BREAK_REWARD = 0.3 + + observation_space = spaces.Dict( + { + agent: spaces.Box( + low=-np.inf, + high=np.inf, + shape=(constants.OBSERVATION_SPACE_SIZE,), + ) + for agent in ["p1", "p2"] + } + ) + + action_space = spaces.Dict( + { + agent: spaces.Discrete( + len( + [ + constants.EnvActions.NONE, + constants.EnvActions.BACK, + constants.EnvActions.FORWARD, + constants.EnvActions.ATTACK, + constants.EnvActions.BACK_ATTACK, + constants.EnvActions.FORWARD_ATTACK, + # This is a special input that holds down + # attack for 60 frames. It's just too long of a sequence + # to easily learn by holding ATTACK for so long. + constants.EnvActions.SPECIAL_CHARGE, + ] + ) + ) + for agent in ["p1", "p2"] + } + ) + + def __init__(self, config: EnvContext, port: int): + super().__init__() + + if config is None: + config = {} + self.config = config + self.port = port + self.footsies_process_pid = ( + None # Store PID of the running footsies process (we assume one per env) + ) + self.agents: list[AgentID] = ["p1", "p2"] + self.possible_agents: list[AgentID] = self.agents.copy() + self._agent_ids: set[AgentID] = set(self.agents) + + self.t: int = 0 + self.max_t: int = config.get("max_t", 1000) + self.frame_skip = config.get("frame_skip", 4) + observation_delay = config.get("observation_delay", 16) + + assert ( + observation_delay % self.frame_skip == 0 + ), "observation_delay must be divisible by frame_skip" + + self.encoder = FootsiesEncoder( + observation_delay=observation_delay // self.frame_skip + ) + + # start the game server before initializing the communication between the + # game server and the Python harness via gRPC + self._prepare_and_start_game_server() + self.game = FootsiesGame( + host=config["host"], + port=self.port, + ) + + self.last_game_state = None + self.special_charge_queue = { + "p1": -1, + "p2": -1, + } + + @staticmethod + def _convert_to_charge_action(action: int) -> int: + if action == constants.EnvActions.BACK: + return constants.EnvActions.BACK_ATTACK + elif action == constants.EnvActions.FORWARD: + return constants.EnvActions.FORWARD_ATTACK + else: + return constants.EnvActions.ATTACK + + def close(self): + """Terminate Footsies game server process. + + Run to ensure no game servers are left running. + """ + timeout = 2 + try: + logger.info( + f"RLlib {self.__class__.__name__}: Terminating Footsies " + f"game server process with PID: {self.footsies_process_pid}..." + ) + p = psutil.Process(self.footsies_process_pid) + p.terminate() + p.wait(timeout=timeout) + except psutil.NoSuchProcess: + logger.info( + f"RLlib {self.__class__.__name__}: Process with PID {self.footsies_process_pid} not found, " + f"it might have been already terminated." + ) + except psutil.TimeoutExpired: + logger.warning( + f"RLlib {self.__class__.__name__}: Process with PID {self.footsies_process_pid} did not terminate " + f"within {timeout} seconds. " + f"Sending SIGKILL signal instead.", + ) + p.kill() + p.wait(timeout=timeout) + + def get_infos(self): + return {agent: {} for agent in self.agents} + + def get_obs(self, game_state): + return self.encoder.encode(game_state) + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ) -> tuple[dict[AgentID, ObsType], dict[AgentID, Any]]: + """Resets the environment to the starting state + and returns the initial observations for all agents. + + :return: Tuple of observations and infos for each agent. + :rtype: tuple[dict[AgentID, ObsType], dict[AgentID, Any]] + """ + self.t = 0 + self.game.reset_game() + self.game.start_game() + + self.encoder.reset() + self.last_game_state = self.game.get_state() + + observations = self.get_obs(self.last_game_state) + + return observations, {agent: {} for agent in self.agents} + + def step( + self, actions: dict[AgentID, ActionType] + ) -> tuple[ + dict[AgentID, ObsType], + dict[AgentID, float], + dict[AgentID, bool], + dict[AgentID, bool], + dict[AgentID, dict[str, Any]], + ]: + """Step the environment with the provided actions for all agents. + + :param actions: Dictionary mapping agent ids to their actions for this step. + :type actions: dict[AgentID, ActionType] + :return: Tuple of observations, rewards, terminates, truncateds and infos for all agents. + :rtype: tuple[ dict[AgentID, ObsType], dict[AgentID, float], dict[AgentID, bool], dict[AgentID, bool], dict[AgentID, dict[str, Any]], ] + """ + self.t += 1 + + for agent_id in self.agents: + empty_queue = self.special_charge_queue[agent_id] < 0 + action_is_special_charge = ( + actions[agent_id] == constants.EnvActions.SPECIAL_CHARGE + ) + + # Refill the charge queue only if we're not already in a special charge. + if action_is_special_charge and empty_queue: + self.special_charge_queue[ + agent_id + ] = self._build_charged_special_queue() + + if self.special_charge_queue[agent_id] >= 0: + self.special_charge_queue[agent_id] -= 1 + actions[agent_id] = self._convert_to_charge_action(actions[agent_id]) + + p1_action = self.game.action_to_bits(actions["p1"], is_player_1=True) + p2_action = self.game.action_to_bits(actions["p2"], is_player_1=False) + + game_state = self.game.step_n_frames( + p1_action=p1_action, p2_action=p2_action, n_frames=self.frame_skip + ) + observations = self.get_obs(game_state) + + terminated = game_state.player1.is_dead or game_state.player2.is_dead + + # Zero-sum game: 1 if other player is dead, -1 if you're dead: + rewards = { + "p1": int(game_state.player2.is_dead) - int(game_state.player1.is_dead), + "p2": int(game_state.player1.is_dead) - int(game_state.player2.is_dead), + } + + if self.config.get("reward_guard_break", False): + p1_prev_guard_health = self.last_game_state.player1.guard_health + p2_prev_guard_health = self.last_game_state.player2.guard_health + p1_guard_health = game_state.player1.guard_health + p2_guard_health = game_state.player2.guard_health + + if p2_guard_health < p2_prev_guard_health: + rewards["p1"] += self.GUARD_BREAK_REWARD + rewards["p2"] -= self.GUARD_BREAK_REWARD + if p1_guard_health < p1_prev_guard_health: + rewards["p2"] += self.GUARD_BREAK_REWARD + rewards["p1"] -= self.GUARD_BREAK_REWARD + + terminateds = { + "p1": terminated, + "p2": terminated, + "__all__": terminated, + } + + truncated = self.t >= self.max_t + truncateds = { + "p1": truncated, + "p2": truncated, + "__all__": truncated, + } + + self.last_game_state = game_state + + return observations, rewards, terminateds, truncateds, self.get_infos() + + def _build_charged_special_queue(self): + assert self.SPECIAL_CHARGE_FRAMES % self.frame_skip == 0 + steps_to_apply_attack = int(self.SPECIAL_CHARGE_FRAMES // self.frame_skip) + return steps_to_apply_attack + + def _prepare_and_start_game_server(self): + fb = FootsiesBinary(config=self.config, port=self.port) + self.footsies_process_pid = fb.start_game_server() + + +def env_creator(env_config: EnvContext) -> FootsiesEnv: + """Creates the Footsies environment + + Ensure that each game server runs on a unique port. Training and evaluation env runners have separate port ranges. + + Helper function to create the FootsiesEnv with a unique port based on the worker index and vector index. + It's usually passed to the `register_env()`, like this: register_env(name="FootsiesEnv", env_creator=env_creator). + """ + if env_config.get("env-for-evaluation", False): + port = ( + env_config["eval_start_port"] + - 1 # "-1" to start with eval_start_port as the first port (eval worker index starts at 1) + + int(env_config.worker_index) * env_config.get("num_envs_per_worker", 1) + + env_config.get("vector_index", 0) + ) + else: + port = ( + env_config["train_start_port"] + + int(env_config.worker_index) * env_config.get("num_envs_per_worker", 1) + + env_config.get("vector_index", 0) + ) + return FootsiesEnv(config=env_config, port=port) diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/__init__.py b/rllib/examples/envs/classes/multi_agent/footsies/game/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/constants.py b/rllib/examples/envs/classes/multi_agent/footsies/game/constants.py new file mode 100644 index 000000000000..9a5c86065128 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/constants.py @@ -0,0 +1,151 @@ +from dataclasses import dataclass + +OBSERVATION_SPACE_SIZE: int = 81 + + +@dataclass +class EnvActions: + NONE = 0 + BACK = 1 + FORWARD = 2 + ATTACK = 3 + BACK_ATTACK = 4 + FORWARD_ATTACK = 5 + SPECIAL_CHARGE = 6 + + +@dataclass +class GameActions: + NONE = 0 + LEFT = 1 + RIGHT = 2 + ATTACK = 3 + LEFT_ATTACK = 4 + RIGHT_ATTACK = 5 + + +@dataclass +class ActionBits: + NONE: int = 0 + LEFT: int = 1 << 0 + RIGHT: int = 1 << 1 + ATTACK: int = 1 << 2 + LEFT_ATTACK: int = LEFT | ATTACK + RIGHT_ATTACK: int = RIGHT | ATTACK + + +@dataclass +class ActionID: + STAND = 0 + FORWARD = 1 + BACKWARD = 2 + DASH_FORWARD = 10 + DASH_BACKWARD = 11 + N_ATTACK = 100 + B_ATTACK = 105 + N_SPECIAL = 110 + B_SPECIAL = 115 + DAMAGE = 200 + GUARD_M = 301 + GUARD_STAND = 305 + GUARD_CROUCH = 306 + GUARD_BREAK = 310 + GUARD_PROXIMITY = 350 + DEAD = 500 + WIN = 510 + + +@dataclass +class FeatureDictNormalizers: + PLAYER_POSITION_X = 4.0 + VELOCITY_X = 5.0 + CURRENT_ACTION_FRAME = 25 + CURRENT_ACTION_FRAME_COUNT = 25 + CURRENT_ACTION_REMAINING_FRAMES = 25 + CURRENT_HIT_STUN_FRAME = 10 + MAX_SPRITE_SHAKE_FRAME = 10 + CURRENT_FRAME_ADVANTAGE = 10 + + +ACTION_TO_BITS = { + GameActions.NONE: ActionBits.NONE, + GameActions.LEFT: ActionBits.LEFT, + GameActions.RIGHT: ActionBits.RIGHT, + GameActions.ATTACK: ActionBits.ATTACK, + GameActions.LEFT_ATTACK: ActionBits.LEFT_ATTACK, + GameActions.RIGHT_ATTACK: ActionBits.RIGHT_ATTACK, +} + +FOOTSIES_ACTION_IDS = { + "STAND": ActionID.STAND, + "FORWARD": ActionID.FORWARD, + "BACKWARD": ActionID.BACKWARD, + "DASH_FORWARD": ActionID.DASH_FORWARD, + "DASH_BACKWARD": ActionID.DASH_BACKWARD, + "N_ATTACK": ActionID.N_ATTACK, + "B_ATTACK": ActionID.B_ATTACK, + "N_SPECIAL": ActionID.N_SPECIAL, + "B_SPECIAL": ActionID.B_SPECIAL, + "DAMAGE": ActionID.DAMAGE, + "GUARD_M": ActionID.GUARD_M, + "GUARD_STAND": ActionID.GUARD_STAND, + "GUARD_CROUCH": ActionID.GUARD_CROUCH, + "GUARD_BREAK": ActionID.GUARD_BREAK, + "GUARD_PROXIMITY": ActionID.GUARD_PROXIMITY, + "DEAD": ActionID.DEAD, + "WIN": ActionID.WIN, +} + +# backup file location (uploaded July 29th, 2025): +# https://ray-example-data.s3.us-west-2.amazonaws.com/rllib/env-footsies/feature_indices.json +# Dictionary mapping feature names to their index ranges within a flat observation vector. +# Each key is a feature name, and its value is a dictionary with keys: +# "start": the starting index in the observation array. +# "length": it's length in bytes +feature_indices = { + "common_state": {"start": 0, "length": 1}, + "frame_count": {"start": 1, "length": 1}, + "player_position_x": {"start": 2, "length": 1}, + "velocity_x": {"start": 3, "length": 1}, + "is_dead": {"start": 4, "length": 1}, + "vital_health": {"start": 5, "length": 1}, + "guard_health": {"start": 6, "length": 4}, + "current_action_id": {"start": 10, "length": 17}, + "current_action_frame": {"start": 27, "length": 1}, + "current_action_frame_count": {"start": 28, "length": 1}, + "current_action_remaining_frames": {"start": 29, "length": 1}, + "is_action_end": {"start": 30, "length": 1}, + "is_always_cancelable": {"start": 31, "length": 1}, + "current_action_hit_count": {"start": 32, "length": 1}, + "current_hit_stun_frame": {"start": 33, "length": 1}, + "is_in_hit_stun": {"start": 34, "length": 1}, + "sprite_shake_position": {"start": 35, "length": 1}, + "max_sprite_shake_frame": {"start": 36, "length": 1}, + "is_face_right": {"start": 37, "length": 1}, + "current_frame_advantage": {"start": 38, "length": 1}, + "would_next_forward_input_dash": {"start": 39, "length": 1}, + "would_next_backward_input_dash": {"start": 40, "length": 1}, + "special_attack_progress": {"start": 41, "length": 1}, + "opponent_frame_count": {"start": 42, "length": 1}, + "opponent_player_position_x": {"start": 43, "length": 1}, + "opponent_velocity_x": {"start": 44, "length": 1}, + "opponent_is_dead": {"start": 45, "length": 1}, + "opponent_vital_health": {"start": 46, "length": 1}, + "opponent_guard_health": {"start": 47, "length": 4}, + "opponent_current_action_id": {"start": 51, "length": 17}, + "opponent_current_action_frame": {"start": 68, "length": 1}, + "opponent_current_action_frame_count": {"start": 69, "length": 1}, + "opponent_current_action_remaining_frames": {"start": 70, "length": 1}, + "opponent_is_action_end": {"start": 71, "length": 1}, + "opponent_is_always_cancelable": {"start": 72, "length": 1}, + "opponent_current_action_hit_count": {"start": 73, "length": 1}, + "opponent_current_hit_stun_frame": {"start": 74, "length": 1}, + "opponent_is_in_hit_stun": {"start": 75, "length": 1}, + "opponent_sprite_shake_position": {"start": 76, "length": 1}, + "opponent_max_sprite_shake_frame": {"start": 77, "length": 1}, + "opponent_is_face_right": {"start": 78, "length": 1}, + "opponent_current_frame_advantage": {"start": 79, "length": 1}, + "opponent_would_next_forward_input_dash": {"start": 80, "length": 1}, + "opponent_would_next_backward_input_dash": {"start": 81, "length": 1}, + "opponent_special_attack_progress": {"start": 82, "length": 1}, +} diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_binary.py b/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_binary.py new file mode 100644 index 000000000000..2b9e3bcbc5b9 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_binary.py @@ -0,0 +1,195 @@ +import logging +import os +import stat +import subprocess +import time +import zipfile +from dataclasses import dataclass +from pathlib import Path + +import grpc +import requests +from ray.rllib.env import EnvContext +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto import ( + footsies_service_pb2 as footsies_pb2, +) +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto import ( + footsies_service_pb2_grpc as footsies_pb2_grpc, +) + +logger = logging.getLogger(__name__) + + +@dataclass +class BinaryUrls: + # Uploaded 07.28.2025 + S3_ROOT = "https://ray-example-data.s3.us-west-2.amazonaws.com/rllib/env-footsies/binaries/" + + # Zip file names + ZIP_LINUX_SERVER = "footsies_linux_server_021725.zip" + ZIP_LINUX_WINDOWED = "footsies_linux_windowed_021725.zip" + ZIP_MAC_HEADLESS = "footsies_mac_headless_5709b6d.zip" + ZIP_MAC_WINDOWED = "footsies_mac_windowed_5709b6d.zip" + + # Full URLs + URL_LINUX_SERVER_BINARIES = S3_ROOT + ZIP_LINUX_SERVER + URL_LINUX_WINDOWED_BINARIES = S3_ROOT + ZIP_LINUX_WINDOWED + URL_MAC_HEADLESS_BINARIES = S3_ROOT + ZIP_MAC_HEADLESS + URL_MAC_WINDOWED_BINARIES = S3_ROOT + ZIP_MAC_WINDOWED + + +class FootsiesBinary: + def __init__(self, config: EnvContext, port: int): + self._urls = BinaryUrls() + self.config = config + self.port = port + self.binary_to_download = config["binary_to_download"] + if self.binary_to_download == "linux_server": + self.url = self._urls.URL_LINUX_SERVER_BINARIES + elif self.binary_to_download == "linux_windowed": + self.url = self._urls.URL_LINUX_WINDOWED_BINARIES + elif self.binary_to_download == "mac_headless": + self.url = self._urls.URL_MAC_HEADLESS_BINARIES + elif self.binary_to_download == "mac_windowed": + self.url = self._urls.URL_MAC_WINDOWED_BINARIES + else: + raise ValueError(f"Invalid target binary: {self.binary_to_download}") + + self.full_download_dir = Path(config["binary_download_dir"]).resolve() + self.full_download_path = ( + self.full_download_dir / str.split(self.url, sep="/")[-1] + ) + self.full_extract_dir = Path(config["binary_extract_dir"]).resolve() + self.renamed_path = self.full_extract_dir / "footsies_binaries" + + @staticmethod + def _add_executable_permission(binary_path: Path) -> None: + binary_path.chmod(binary_path.stat().st_mode | stat.S_IXUSR) + + def start_game_server(self) -> int: + """Downloads, unzips, and starts the Footsies game server binary. + + Returns footsies process PID. + """ + self._download_game_binary() + self._unzip_game_binary() + + if self.binary_to_download == "mac_windowed": + game_binary_path = ( + Path(self.renamed_path) / "Contents" / "MacOS" / "FOOTSIES" + ) + elif self.binary_to_download == "mac_headless": + game_binary_path = Path(self.renamed_path) / "FOOTSIES" + else: + game_binary_path = Path(self.renamed_path) / "footsies.x86_64" + + if os.access(game_binary_path, os.X_OK): + logger.info( + f"Game binary has an 'executable' permission: {game_binary_path}" + ) + else: + self._add_executable_permission(game_binary_path) + logger.info(f"Game binary path: {game_binary_path}") + + if ( + self.binary_to_download == "linux_server" + or self.binary_to_download == "linux_windowed" + ): + process = subprocess.Popen([game_binary_path, "--port", str(self.port)]) + else: + process = subprocess.Popen( + [ + "arch", + "-x86_64", + game_binary_path, + "--port", + str(self.port), + ], + ) + + # check if the game server is running correctly + timeout = 2 + channel = grpc.insecure_channel(f"localhost:{self.port}") + stub = footsies_pb2_grpc.FootsiesGameServiceStub(channel) + + # step 1: try to start the game + while True: + try: + stub.StartGame(footsies_pb2.Empty()) + logger.info("Game ready!") + break + except grpc.RpcError as e: + code = e.code() + if code in ( + grpc.StatusCode.UNAVAILABLE, + grpc.StatusCode.DEADLINE_EXCEEDED, + ): + logger.info(f"RLlib {self.__class__.__name__}: Game not ready...") + time.sleep(timeout) + continue + raise + + # step 2: check if the game is ready + ready = False + while not ready: + try: + ready = stub.IsReady(footsies_pb2.Empty()).value + if not ready: + logger.info(f"RLlib {self.__class__.__name__}: Game not ready...") + time.sleep(timeout) + continue + else: + logger.info("Game ready!") + break + except grpc.RpcError as e: + if e.code() in ( + grpc.StatusCode.UNAVAILABLE, + grpc.StatusCode.DEADLINE_EXCEEDED, + ): + time.sleep(timeout) + logger.info(f"RLlib {self.__class__.__name__}: Game not ready...") + continue + raise + + channel.close() + return process.pid + + def _download_game_binary(self): + chunk_size = 1024 * 1024 # 1MB + + if Path(self.full_download_path).exists(): + logger.info( + f"Game binary already exists at {self.full_download_path}, skipping download." + ) + + else: + try: + with requests.get(self.url, stream=True) as response: + response.raise_for_status() + self.full_download_dir.mkdir(parents=True, exist_ok=True) + with open(self.full_download_path, "wb") as f: + for chunk in response.iter_content(chunk_size=chunk_size): + if chunk: + f.write(chunk) + logger.info( + f"Downloaded game binary to {self.full_download_path}\n" + f"Binary size: {self.full_download_path.stat().st_size / 1024 / 1024:.1f} MB\n" + ) + except requests.exceptions.RequestException as e: + logger.error(f"Failed to download binary from {self.url}: {e}") + + def _unzip_game_binary(self): + if Path(self.renamed_path).exists(): + logger.info( + f"Game binary already extracted at {self.renamed_path}, skipping extraction." + ) + else: + self.full_extract_dir.mkdir(parents=True, exist_ok=True) + with zipfile.ZipFile(self.full_download_path, mode="r") as zip_ref: + zip_ref.extractall(self.full_extract_dir) + + if self.binary_to_download == "mac_windowed": + self.full_download_path.with_suffix(".app").rename(self.renamed_path) + else: + self.full_download_path.with_suffix("").rename(self.renamed_path) + logger.info(f"Extracted game binary to {self.renamed_path}") diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_game.py b/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_game.py new file mode 100644 index 000000000000..5f4252412958 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/footsies_game.py @@ -0,0 +1,121 @@ +import logging +import time + +import grpc +import numpy as np + +import ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto.footsies_service_pb2 as footsies_pb2 +import ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto.footsies_service_pb2_grpc as footsies_pb2_grpc +from ray.rllib.examples.envs.classes.multi_agent.footsies.game import constants + +logger = logging.getLogger(__name__) + + +class FootsiesGame: + """Handles gRPC communication with game the server. + + This class establishes communication between the + game server and the Python harness via gRPC. It provides methods + to start the game, reset it, get the current state, and step the + game by a certain number of frames. + """ + + def __init__(self, host: str, port: int): + self.host = host + self.port = port + self.stub = self._initialize_stub() + + @staticmethod + def action_to_bits(action: int, is_player_1: bool) -> int: + """Converts an action to its corresponding bit representation.""" + + if isinstance(action, np.ndarray): + action = action.item() + + if is_player_1: + if action == constants.EnvActions.BACK: + action = constants.GameActions.LEFT + elif action == constants.EnvActions.FORWARD: + action = constants.GameActions.RIGHT + elif action == constants.EnvActions.BACK_ATTACK: + action = constants.GameActions.LEFT_ATTACK + elif action == constants.EnvActions.FORWARD_ATTACK: + action = constants.GameActions.RIGHT_ATTACK + else: + if action == constants.EnvActions.BACK: + action = constants.GameActions.RIGHT + elif action == constants.EnvActions.FORWARD: + action = constants.GameActions.LEFT + elif action == constants.EnvActions.BACK_ATTACK: + action = constants.GameActions.RIGHT_ATTACK + elif action == constants.EnvActions.FORWARD_ATTACK: + action = constants.GameActions.LEFT_ATTACK + + return constants.ACTION_TO_BITS[action] + + def get_encoded_state(self) -> footsies_pb2.EncodedGameState: + """Gets the current encoded game state by calling the GetEncodedState RPC.""" + try: + return self.stub.GetEncodedState(footsies_pb2.Empty()) + except Exception as e: + logger.error(f"Error calling GetEncodedState with exception: {e}") + raise e + + def get_state(self) -> footsies_pb2.GameState: + """Gets the current game state by calling the GetState RPC.""" + try: + return self.stub.GetState(footsies_pb2.Empty()) + except Exception as e: + logger.error(f"Error calling GetState with exception: {e}") + raise e + + def is_ready(self) -> bool: + """Checks if the game is ready by calling the IsReady RPC.""" + try: + return self.stub.IsReady(footsies_pb2.Empty()).value + except Exception as e: + logger.error(f"Error calling IsReady with exception: {e}") + raise e + + def reset_game(self) -> None: + """Resets the game by calling the ResetGame RPC.""" + try: + self.stub.ResetGame(footsies_pb2.Empty()) + except Exception as e: + logger.error(f"Error calling ResetGame with exception: {e}") + raise e + + def start_game(self) -> None: + """Starts the game by calling the StartGame RPC.""" + try: + self.stub.StartGame(footsies_pb2.Empty()) + + while not self.is_ready(): + logger.info("Game not ready...") + time.sleep(0.5) + logger.info("StartGame called successfully") + + except Exception as e: + logger.error(f"Error calling StartGame with exception: {e}") + raise e + + def step_n_frames( + self, p1_action: int, p2_action: int, n_frames: int + ) -> footsies_pb2.GameState: + """Steps the game by n_frames with the given player actions. The provided actions will be repeated for all n_frames.""" + try: + step_input = footsies_pb2.StepInput( + p1_action=p1_action, p2_action=p2_action, nFrames=n_frames + ) + return self.stub.StepNFrames(step_input) + except Exception as e: + logger.error(f"Error calling StepNFrames with exception: {e}") + raise e + + def _initialize_stub(self) -> footsies_pb2_grpc.FootsiesGameServiceStub: + try: + channel = grpc.insecure_channel(f"{self.host}:{self.port}") + return footsies_pb2_grpc.FootsiesGameServiceStub(channel) + except grpc.RpcError as e: + logger.error(f"Error connecting to gRPC stub with exception: {e}") + raise e diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service.proto b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service.proto new file mode 100644 index 000000000000..5edbd7bda692 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service.proto @@ -0,0 +1,63 @@ +syntax = "proto3"; + + +service FootsiesGameService { + rpc StartGame(Empty) returns (Empty) {} + rpc ResetGame(Empty) returns (Empty) {} + rpc StepNFrames(StepInput) returns (GameState) {} + rpc GetState(Empty) returns (GameState) {} + rpc GetEncodedState(Empty) returns (EncodedGameState) {} + rpc IsReady(Empty) returns (BoolValue) {} +} + + +message StepInput { + int64 p1_action = 1; + int64 p2_action = 2; + int64 nFrames = 3; +} + +message PlayerState { + float player_position_x = 1; + bool is_dead = 2; + int64 vital_health = 3; + int64 guard_health = 4; + int64 current_action_id = 5; + int64 current_action_frame = 6; + int64 current_action_frame_count = 7; + bool is_action_end = 8; + bool is_always_cancelable = 9; + int64 current_action_hit_count = 10; + int64 current_hit_stun_frame = 11; + bool is_in_hit_stun = 12; + int64 sprite_shake_position = 13; + int64 max_sprite_shake_frame = 14; + float velocity_x = 15; + bool is_face_right = 16; + repeated int64 input_buffer = 17; + int64 current_frame_advantage = 18; + bool would_next_forward_input_dash = 19; + bool would_next_backward_input_dash = 20; + float special_attack_progress = 21; +} + +message GameState { + PlayerState player1 = 1; + PlayerState player2 = 2; + int64 round_state = 3; + int64 frame_count = 4; +} + +message EncodedGameState { + repeated float player1_encoding = 1; + repeated float player2_encoding = 2; +} + +message BoolValue { + bool value = 1; +} + + + + +message Empty {} diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2.py b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2.py new file mode 100644 index 000000000000..8dc26277dff8 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2.py @@ -0,0 +1,38 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: footsies_service.proto +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder + +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( + b'\n\x16\x66ootsies_service.proto"B\n\tStepInput\x12\x11\n\tp1_action\x18\x01 \x01(\x03\x12\x11\n\tp2_action\x18\x02 \x01(\x03\x12\x0f\n\x07nFrames\x18\x03 \x01(\x03"\xe2\x04\n\x0bPlayerState\x12\x19\n\x11player_position_x\x18\x01 \x01(\x02\x12\x0f\n\x07is_dead\x18\x02 \x01(\x08\x12\x14\n\x0cvital_health\x18\x03 \x01(\x03\x12\x14\n\x0cguard_health\x18\x04 \x01(\x03\x12\x19\n\x11\x63urrent_action_id\x18\x05 \x01(\x03\x12\x1c\n\x14\x63urrent_action_frame\x18\x06 \x01(\x03\x12"\n\x1a\x63urrent_action_frame_count\x18\x07 \x01(\x03\x12\x15\n\ris_action_end\x18\x08 \x01(\x08\x12\x1c\n\x14is_always_cancelable\x18\t \x01(\x08\x12 \n\x18\x63urrent_action_hit_count\x18\n \x01(\x03\x12\x1e\n\x16\x63urrent_hit_stun_frame\x18\x0b \x01(\x03\x12\x16\n\x0eis_in_hit_stun\x18\x0c \x01(\x08\x12\x1d\n\x15sprite_shake_position\x18\r \x01(\x03\x12\x1e\n\x16max_sprite_shake_frame\x18\x0e \x01(\x03\x12\x12\n\nvelocity_x\x18\x0f \x01(\x02\x12\x15\n\ris_face_right\x18\x10 \x01(\x08\x12\x14\n\x0cinput_buffer\x18\x11 \x03(\x03\x12\x1f\n\x17\x63urrent_frame_advantage\x18\x12 \x01(\x03\x12%\n\x1dwould_next_forward_input_dash\x18\x13 \x01(\x08\x12&\n\x1ewould_next_backward_input_dash\x18\x14 \x01(\x08\x12\x1f\n\x17special_attack_progress\x18\x15 \x01(\x02"s\n\tGameState\x12\x1d\n\x07player1\x18\x01 \x01(\x0b\x32\x0c.PlayerState\x12\x1d\n\x07player2\x18\x02 \x01(\x0b\x32\x0c.PlayerState\x12\x13\n\x0bround_state\x18\x03 \x01(\x03\x12\x13\n\x0b\x66rame_count\x18\x04 \x01(\x03"F\n\x10\x45ncodedGameState\x12\x18\n\x10player1_encoding\x18\x01 \x03(\x02\x12\x18\n\x10player2_encoding\x18\x02 \x03(\x02"\x1a\n\tBoolValue\x12\r\n\x05value\x18\x01 \x01(\x08"\x07\n\x05\x45mpty2\xef\x01\n\x13\x46ootsiesGameService\x12\x1d\n\tStartGame\x12\x06.Empty\x1a\x06.Empty"\x00\x12\x1d\n\tResetGame\x12\x06.Empty\x1a\x06.Empty"\x00\x12\'\n\x0bStepNFrames\x12\n.StepInput\x1a\n.GameState"\x00\x12 \n\x08GetState\x12\x06.Empty\x1a\n.GameState"\x00\x12.\n\x0fGetEncodedState\x12\x06.Empty\x1a\x11.EncodedGameState"\x00\x12\x1f\n\x07IsReady\x12\x06.Empty\x1a\n.BoolValue"\x00\x62\x06proto3' +) + +_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals()) +_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, "footsies_service_pb2", globals()) +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + _STEPINPUT._serialized_start = 26 + _STEPINPUT._serialized_end = 92 + _PLAYERSTATE._serialized_start = 95 + _PLAYERSTATE._serialized_end = 705 + _GAMESTATE._serialized_start = 707 + _GAMESTATE._serialized_end = 822 + _ENCODEDGAMESTATE._serialized_start = 824 + _ENCODEDGAMESTATE._serialized_end = 894 + _BOOLVALUE._serialized_start = 896 + _BOOLVALUE._serialized_end = 922 + _EMPTY._serialized_start = 924 + _EMPTY._serialized_end = 931 + _FOOTSIESGAMESERVICE._serialized_start = 934 + _FOOTSIESGAMESERVICE._serialized_end = 1173 +# @@protoc_insertion_point(module_scope) diff --git a/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2_grpc.py b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2_grpc.py new file mode 100644 index 000000000000..b39a76d7bf5a --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/game/proto/footsies_service_pb2_grpc.py @@ -0,0 +1,307 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + +import ray.rllib.examples.envs.classes.multi_agent.footsies.game.proto.footsies_service_pb2 as footsies__service__pb2 + + +# import footsies_service_pb2 as footsies__service__pb2 + + +class FootsiesGameServiceStub(object): + """Missing associated documentation comment in .proto file.""" + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.StartGame = channel.unary_unary( + "/FootsiesGameService/StartGame", + request_serializer=footsies__service__pb2.Empty.SerializeToString, + response_deserializer=footsies__service__pb2.Empty.FromString, + ) + self.ResetGame = channel.unary_unary( + "/FootsiesGameService/ResetGame", + request_serializer=footsies__service__pb2.Empty.SerializeToString, + response_deserializer=footsies__service__pb2.Empty.FromString, + ) + self.StepNFrames = channel.unary_unary( + "/FootsiesGameService/StepNFrames", + request_serializer=footsies__service__pb2.StepInput.SerializeToString, + response_deserializer=footsies__service__pb2.GameState.FromString, + ) + self.GetState = channel.unary_unary( + "/FootsiesGameService/GetState", + request_serializer=footsies__service__pb2.Empty.SerializeToString, + response_deserializer=footsies__service__pb2.GameState.FromString, + ) + self.GetEncodedState = channel.unary_unary( + "/FootsiesGameService/GetEncodedState", + request_serializer=footsies__service__pb2.Empty.SerializeToString, + response_deserializer=footsies__service__pb2.EncodedGameState.FromString, + ) + self.IsReady = channel.unary_unary( + "/FootsiesGameService/IsReady", + request_serializer=footsies__service__pb2.Empty.SerializeToString, + response_deserializer=footsies__service__pb2.BoolValue.FromString, + ) + + +class FootsiesGameServiceServicer(object): + """Missing associated documentation comment in .proto file.""" + + def StartGame(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + def ResetGame(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + def StepNFrames(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + def GetState(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + def GetEncodedState(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + def IsReady(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details("Method not implemented!") + raise NotImplementedError("Method not implemented!") + + +def add_FootsiesGameServiceServicer_to_server(servicer, server): + rpc_method_handlers = { + "StartGame": grpc.unary_unary_rpc_method_handler( + servicer.StartGame, + request_deserializer=footsies__service__pb2.Empty.FromString, + response_serializer=footsies__service__pb2.Empty.SerializeToString, + ), + "ResetGame": grpc.unary_unary_rpc_method_handler( + servicer.ResetGame, + request_deserializer=footsies__service__pb2.Empty.FromString, + response_serializer=footsies__service__pb2.Empty.SerializeToString, + ), + "StepNFrames": grpc.unary_unary_rpc_method_handler( + servicer.StepNFrames, + request_deserializer=footsies__service__pb2.StepInput.FromString, + response_serializer=footsies__service__pb2.GameState.SerializeToString, + ), + "GetState": grpc.unary_unary_rpc_method_handler( + servicer.GetState, + request_deserializer=footsies__service__pb2.Empty.FromString, + response_serializer=footsies__service__pb2.GameState.SerializeToString, + ), + "GetEncodedState": grpc.unary_unary_rpc_method_handler( + servicer.GetEncodedState, + request_deserializer=footsies__service__pb2.Empty.FromString, + response_serializer=footsies__service__pb2.EncodedGameState.SerializeToString, + ), + "IsReady": grpc.unary_unary_rpc_method_handler( + servicer.IsReady, + request_deserializer=footsies__service__pb2.Empty.FromString, + response_serializer=footsies__service__pb2.BoolValue.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + "FootsiesGameService", rpc_method_handlers + ) + server.add_generic_rpc_handlers((generic_handler,)) + + +# This class is part of an EXPERIMENTAL API. +class FootsiesGameService(object): + """Missing associated documentation comment in .proto file.""" + + @staticmethod + def StartGame( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/StartGame", + footsies__service__pb2.Empty.SerializeToString, + footsies__service__pb2.Empty.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) + + @staticmethod + def ResetGame( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/ResetGame", + footsies__service__pb2.Empty.SerializeToString, + footsies__service__pb2.Empty.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) + + @staticmethod + def StepNFrames( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/StepNFrames", + footsies__service__pb2.StepInput.SerializeToString, + footsies__service__pb2.GameState.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) + + @staticmethod + def GetState( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/GetState", + footsies__service__pb2.Empty.SerializeToString, + footsies__service__pb2.GameState.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) + + @staticmethod + def GetEncodedState( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/GetEncodedState", + footsies__service__pb2.Empty.SerializeToString, + footsies__service__pb2.EncodedGameState.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) + + @staticmethod + def IsReady( + request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None, + ): + return grpc.experimental.unary_unary( + request, + target, + "/FootsiesGameService/IsReady", + footsies__service__pb2.Empty.SerializeToString, + footsies__service__pb2.BoolValue.FromString, + options, + channel_credentials, + insecure, + call_credentials, + compression, + wait_for_ready, + timeout, + metadata, + ) diff --git a/rllib/examples/envs/classes/multi_agent/footsies/utils.py b/rllib/examples/envs/classes/multi_agent/footsies/utils.py new file mode 100644 index 000000000000..3321f32058c6 --- /dev/null +++ b/rllib/examples/envs/classes/multi_agent/footsies/utils.py @@ -0,0 +1,331 @@ +import collections +import logging +from dataclasses import dataclass +from typing import Dict, Optional + +import gymnasium as gym +import numpy as np +from ray.rllib.algorithms.algorithm import Algorithm +from ray.rllib.algorithms.callbacks import RLlibCallback +from ray.rllib.core.rl_module import RLModuleSpec +from ray.rllib.env.env_runner import EnvRunner +from ray.rllib.env.multi_agent_episode import MultiAgentEpisode +from ray.rllib.examples.envs.classes.multi_agent.footsies.game.constants import ( + FOOTSIES_ACTION_IDS, +) +from ray.rllib.utils.metrics import ENV_RUNNER_RESULTS +from ray.rllib.utils.metrics.metrics_logger import MetricsLogger +from ray.rllib.utils.typing import EpisodeType + +logger = logging.getLogger("ray.rllib") + + +@dataclass +class Matchup: + p1: str + p2: str + prob: float + + +class Matchmaker: + def __init__(self, matchups: list[Matchup]): + self.matchups = matchups + self.probs = [matchup.prob for matchup in matchups] + self.current_matchups = collections.defaultdict(dict) + + def agent_to_module_mapping_fn( + self, agent_id: str, episode: EpisodeType, **kwargs + ) -> str: + """Mapping function that retrieves policy_id from the sampled matchup""" + id_ = episode.id_ + if self.current_matchups.get(id_) is None: + # step 1: sample a matchup according to the specified probabilities + sampled_matchup = np.random.choice(a=self.matchups, p=self.probs) + + # step 2: Randomize who is player 1 and player 2 + policies = [sampled_matchup.p1, sampled_matchup.p2] + p1, p2 = np.random.choice(policies, size=2, replace=False) + + # step 3: Set as the current matchup for the episode in question (id_) + self.current_matchups[id_]["p1"] = p1 + self.current_matchups[id_]["p2"] = p2 + + policy_id = self.current_matchups[id_].pop(agent_id) + + # remove (an empty dict) for the current episode with id_ + if not self.current_matchups[id_]: + del self.current_matchups[id_] + + return policy_id + + +class MetricsLoggerCallback(RLlibCallback): + def __init__(self, main_policy: str) -> None: + """Log experiment metrics + + Logs metrics after each episode step and at the end of each (train or eval) episode. + Metrics logged at the end of each episode will be later used by MixManagerCallback + to decide whether to add a new opponent to the mix. + """ + super().__init__() + self.main_policy = main_policy + self.action_id_to_str = { + action_id: action_str + for action_str, action_id in FOOTSIES_ACTION_IDS.items() + } + + def on_episode_step( + self, + *, + episode: MultiAgentEpisode, + env_runner: Optional[EnvRunner] = None, + metrics_logger: Optional[MetricsLogger] = None, + env: Optional[gym.Env] = None, + env_index: int, + **kwargs, + ) -> None: + """Log action usage frequency + + Log actions performed by both players at each step of the (training or evaluation) episode. + """ + stage = "eval" if env_runner.config.in_evaluation else "train" + + # get the ModuleID for each agent + p1_module = episode.module_for("p1") + p2_module = episode.module_for("p2") + + # get action string for each agent + p1_action_id = env.envs[ + env_index + ].unwrapped.last_game_state.player1.current_action_id + p2_action_id = env.envs[ + env_index + ].unwrapped.last_game_state.player2.current_action_id + p1_action_str = self.action_id_to_str[p1_action_id] + p2_action_str = self.action_id_to_str[p2_action_id] + + metrics_logger.log_value( + key=f"footsies/{stage}/actions/{p1_module}/{p1_action_str}", + value=1, + reduce="sum", + window=100, + clear_on_reduce=True, + ) + metrics_logger.log_value( + key=f"footsies/{stage}/actions/{p2_module}/{p2_action_str}", + value=1, + reduce="sum", + window=100, + clear_on_reduce=True, + ) + + def on_episode_end( + self, + *, + episode: MultiAgentEpisode, + env_runner: Optional[EnvRunner] = None, + metrics_logger: Optional[MetricsLogger] = None, + env: Optional[gym.Env] = None, + env_index: int, + **kwargs, + ) -> None: + """Log win rates + + Log win rates of the main policy against its opponent at the end of the (training or evaluation) episode. + """ + stage = "eval" if env_runner.config.in_evaluation else "train" + + # check status of "p1" and "p2" + last_game_state = env.envs[env_index].unwrapped.last_game_state + p1_dead = last_game_state.player1.is_dead + p2_dead = last_game_state.player2.is_dead + + # get the ModuleID for each agent + p1_module = episode.module_for("p1") + p2_module = episode.module_for("p2") + + if self.main_policy == p1_module: + opponent_id = p2_module + main_policy_win = p2_dead + elif self.main_policy == p2_module: + opponent_id = p1_module + main_policy_win = p1_dead + else: + logger.info( + f"RLlib {self.__class__.__name__}: Main policy: '{self.main_policy}' not found in this episode. " + f"Policies in this episode are: '{p1_module}' and '{p2_module}'. " + f"Check your multi_agent 'policy_mapping_fn'. " + f"Metrics logging for this episode will be skipped." + ) + return + + if p1_dead and p2_dead: + metrics_logger.log_value( + key=f"footsies/{stage}/both_dead/{self.main_policy}/vs_{opponent_id}", + value=1, + reduce="mean", + window=100, + clear_on_reduce=True, + ) + elif not p1_dead and not p2_dead: + metrics_logger.log_value( + key=f"footsies/{stage}/both_alive/{self.main_policy}/vs_{opponent_id}", + value=1, + reduce="mean", + window=100, + clear_on_reduce=True, + ) + else: + # log the win rate against the opponent with an 'opponent_id' + metrics_logger.log_value( + key=f"footsies/{stage}/win_rates/{self.main_policy}/vs_{opponent_id}", + value=int(main_policy_win), + reduce="mean", + window=100, + clear_on_reduce=True, + ) + + # log the win rate, without specifying the opponent + # this metric collected from the eval env runner + # will be used to decide whether to add + # a new opponent at the current level. + metrics_logger.log_value( + key=f"footsies/{stage}/win_rates/{self.main_policy}/vs_any", + value=int(main_policy_win), + reduce="mean", + window=100, + clear_on_reduce=True, + ) + + +class MixManagerCallback(RLlibCallback): + def __init__( + self, + win_rate_threshold: float, + main_policy: str, + target_mix_size: int, + starting_modules=list[str], # default is ["lstm", "noop"] + fixed_modules_progression_sequence=tuple[str], # default is ("noop", "back") + ) -> None: + """Track win rates and manage mix of opponents""" + super().__init__() + self.win_rate_threshold = win_rate_threshold + self.main_policy = main_policy + self.target_mix_size = target_mix_size + self.fixed_modules_progression_sequence = tuple( + fixed_modules_progression_sequence + ) # Order of RL modules to be added to the mix + self.modules_in_mix = list( + starting_modules + ) # RLModules that are currently in the mix + self._trained_policy_idx = ( + 0 # We will use this to create new opponents of the main policy + ) + + def on_evaluate_end( + self, + *, + algorithm: Algorithm, + metrics_logger: Optional[MetricsLogger] = None, + evaluation_metrics: dict, + **kwargs, + ) -> None: + """Check win rates and add new opponent if necessary. + + Check the win rate of the main policy against its current opponent. + If the win rate exceeds the specified threshold, add a new opponent to the mix, by modifying: + 1. update the policy_mapping_fn for (training and evaluation) env runners + 2. if the new policy is a trained one (not a fixed RL module), modify Algorithm's state (initialize the state of the newly added RLModule by using the main policy) + """ + _main_module = algorithm.get_module(self.main_policy) + new_module_id = None + new_module_spec = None + + win_rate = evaluation_metrics[ENV_RUNNER_RESULTS][ + f"footsies/eval/win_rates/{self.main_policy}/vs_any" + ] + + if win_rate > self.win_rate_threshold: + logger.info( + f"RLlib {self.__class__.__name__}: Win rate for main policy '{self.main_policy}' " + f"exceeded threshold ({win_rate} > {self.win_rate_threshold})." + f" Adding new RL Module to the mix..." + ) + + # check if fixed RL module should be added to the mix, + # and if so, create new_module_id and new_module_spec for it + for module_id in self.fixed_modules_progression_sequence: + if module_id not in self.modules_in_mix: + new_module_id = module_id + break + + # in case that all fixed RL Modules are already in the mix (together with the main policy), + # we will add a new RL Module by taking main policy and adding an instance of it to the mix + if new_module_id is None: + new_module_id = f"{self.main_policy}_v{self._trained_policy_idx}" + new_module_spec = RLModuleSpec.from_module(_main_module) + self._trained_policy_idx += 1 + + # create new policy mapping function, to ensure that the main policy plays against newly added policy + new_mapping_fn = Matchmaker( + [ + Matchup( + p1=self.main_policy, + p2=new_module_id, + prob=1.0, + ) + ] + ).agent_to_module_mapping_fn + + # update (training) env runners with the new mapping function + algorithm.env_runner_group.foreach_env_runner( + lambda er: er.config.multi_agent(policy_mapping_fn=new_mapping_fn), + local_env_runner=True, + ) + + # update (eval) env runners with the new mapping function + algorithm.eval_env_runner_group.foreach_env_runner( + lambda er: er.config.multi_agent(policy_mapping_fn=new_mapping_fn), + local_env_runner=True, + ) + + if new_module_id not in self.fixed_modules_progression_sequence: + algorithm.add_module( + module_id=new_module_id, + module_spec=new_module_spec, + new_agent_to_module_mapping_fn=new_mapping_fn, + ) + # newly added trained policy should be initialized with the state of the main policy + algorithm.set_state( + { + "learner_group": { + "learner": { + "rl_module": { + new_module_id: _main_module.get_state(), + } + } + }, + } + ) + # we added a new RL Module, so we need to update the current mix list. + self.modules_in_mix.append(new_module_id) + + else: + logger.info( + f"RLlib {self.__class__.__name__}: Win rate for main policy '{self.main_policy}' " + f"did not exceed threshold ({win_rate} <= {self.win_rate_threshold})." + ) + + def on_train_result( + self, + *, + algorithm: Algorithm, + metrics_logger: Optional[MetricsLogger] = None, + result: Dict, + **kwargs, + ) -> None: + """Report the current mix size at the end of training iteration. + + That will tell Ray Tune, whether to stop training (once the 'target_mix_size' has been reached). + """ + result["mix_size"] = len(self.modules_in_mix) diff --git a/rllib/examples/multi_agent/self_play_footsies.py b/rllib/examples/multi_agent/self_play_footsies.py new file mode 100644 index 000000000000..2cc5213eced2 --- /dev/null +++ b/rllib/examples/multi_agent/self_play_footsies.py @@ -0,0 +1,112 @@ +""" +Multi-agent RLlib Footsies Simplified Example (PPO) + +About: + - This example as a simplified version of "rllib/tuned_examples/ppo/multi_agent_footsies_ppo.py", + which has more detailed comments and instructions. Please refer to that example for more information. + - This example is created to test the self-play training progression with footsies. + - Simplified version runs with single learner (cpu), single env runner, and single eval env runner. +""" +from pathlib import Path + +from ray.rllib.tuned_examples.ppo.multi_agent_footsies_ppo import ( + config, + env_creator, + stop, +) +from ray.rllib.utils.test_utils import ( + add_rllib_example_script_args, +) +from ray.tune.registry import register_env + +parser = add_rllib_example_script_args( + default_iters=500, + default_timesteps=5_000_000, +) +parser.add_argument( + "--train-start-port", + type=int, + default=45001, + help="First port number for the Footsies training environment server (default: 45001). Each server gets its own port.", +) +parser.add_argument( + "--eval-start-port", + type=int, + default=55001, + help="First port number for the Footsies evaluation environment server (default: 55001) Each server gets its own port.", +) +parser.add_argument( + "--binary-download-dir", + type=Path, + default="/tmp/ray/binaries/footsies", + help="Directory to download Footsies binaries (default: /tmp/ray/binaries/footsies)", +) +parser.add_argument( + "--binary-extract-dir", + type=Path, + default="/tmp/ray/binaries/footsies", + help="Directory to extract Footsies binaries (default: /tmp/ray/binaries/footsies)", +) +parser.add_argument( + "--binary-to-download", + type=str, + choices=["linux_server", "linux_windowed", "mac_headless", "mac_windowed"], + default="linux_server", + help="Target binary for Footsies environment (default: linux_server). Linux and Mac machines are supported. " + "'linux_server' and 'mac_headless' choices are the default options for the training. Game will run in the batchmode, without initializing the graphics. " + "'linux_windowed' and 'mac_windowed' choices are for the local run only, because " + "game will be rendered in the OS window. To use this option effectively, set up: " + "--no-tune --num-env-runners 0 --evaluation-num-env-runners 0", +) +parser.add_argument( + "--win-rate-threshold", + type=float, + default=0.55, + help="The main policy should have at least 'win-rate-threshold' win rate against the " + "other policy to advance to the next level. Moving to the next level " + "means adding a new policy to the mix.", +) +parser.add_argument( + "--target-mix-size", + type=int, + default=4, + help="Target number of policies (RLModules) in the mix to consider the test passed. " + "The initial mix size is 2: 'main policy' vs. 'other'. " + "`--target-mix-size=4` means that 2 new policies will be added to the mix. " + "Whether to add new policy is decided by checking the '--win-rate-threshold' condition. ", +) +parser.add_argument( + "--rollout-fragment-length", + type=int, + default=256, + help="The length of each rollout fragment to be collected by the EnvRunners when sampling.", +) + +args = parser.parse_args() +register_env(name="FootsiesEnv", env_creator=env_creator) +stop["mix_size"] = args.target_mix_size + +config.environment( + env="FootsiesEnv", + env_config={ + "train_start_port": args.train_start_port, + "eval_start_port": args.eval_start_port, + "binary_download_dir": args.binary_download_dir, + "binary_extract_dir": args.binary_extract_dir, + "binary_to_download": args.binary_to_download, + }, +).training( + train_batch_size_per_learner=args.rollout_fragment_length + * (args.num_env_runners or 1), +) + + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + results = run_rllib_example_script_experiment( + base_config=config, + args=args, + stop=stop, + success_metric={"mix_size": args.target_mix_size}, + ) diff --git a/rllib/tuned_examples/ppo/multi_agent_footsies_ppo.py b/rllib/tuned_examples/ppo/multi_agent_footsies_ppo.py new file mode 100644 index 000000000000..e046c380933b --- /dev/null +++ b/rllib/tuned_examples/ppo/multi_agent_footsies_ppo.py @@ -0,0 +1,259 @@ +""" +Multi-agent RLlib Footsies Example (PPO) + +About: + - Example is based on the Footsies environment (https://github.com/chasemcd/FootsiesGym). + - Footsies is a two-player fighting game where each player controls a character and tries to hit the opponent while avoiding being hit. + - Footsies is a zero-sum game, when one player wins (+1 reward) the other loses (-1 reward). + +Summary: + - Main policy is an LSTM-based policy. + - Training algorithm is PPO. + +Training: + - Training is governed by adding new, more complex opponents to the mix as the main policy reaches a certain win rate threshold against the current opponent. + - Current opponent is always the newest opponent added to the mix. + - Training starts with a very simple opponent: "noop" (does nothing), then progresses to "back" (only moves backwards). These are the fixed (very simple) policies that are used to kick off the training. + - After "random", new opponents are frozen copies of the main policy at different training stages. They will be added to the mix as "lstm_v0", "lstm_v1", etc. + - In this way - after kick-starting the training with fixed simple opponents - the main policy will play against a version of itself from an earlier training stage. + - The main policy has to achieve the win rate threshold against the current opponent to add a new opponent to the mix. + - Training concludes when the target mix size is reached. + +Evaluation: + - Evaluation is performed against the current (newest) opponent. + - Evaluation runs for a fixed number of episodes at the end of each training iteration. + +""" +import functools +from pathlib import Path + +from ray.rllib.algorithms.ppo import PPOConfig +from ray.rllib.core.rl_module import RLModuleSpec, MultiRLModuleSpec +from ray.rllib.env.multi_agent_env_runner import MultiAgentEnvRunner +from ray.rllib.examples.envs.classes.multi_agent.footsies.fixed_rlmodules import ( + NoopFixedRLModule, + BackFixedRLModule, +) +from ray.rllib.examples.envs.classes.multi_agent.footsies.footsies_env import ( + env_creator, +) +from ray.rllib.examples.envs.classes.multi_agent.footsies.utils import ( + Matchup, + Matchmaker, + MetricsLoggerCallback, + MixManagerCallback, +) +from ray.rllib.examples.rl_modules.classes.lstm_containing_rlm import ( + LSTMContainingRLModule, +) +from ray.rllib.utils.metrics import NUM_ENV_STEPS_SAMPLED_LIFETIME +from ray.rllib.utils.test_utils import ( + add_rllib_example_script_args, +) +from ray.tune.registry import register_env +from ray.tune.result import TRAINING_ITERATION + +# setting two default stopping criteria: +# 1. training_iteration (via "stop_iters") +# 2. num_env_steps_sampled_lifetime (via "default_timesteps") +# ...values very high to make sure that the test passes by adding +# all required policies to the mix, not by hitting the iteration limit. +# Our main stopping criterion is "target_mix_size" (see an argument below). +parser = add_rllib_example_script_args( + default_iters=500, + default_timesteps=5_000_000, +) + +parser.add_argument( + "--train-start-port", + type=int, + default=45001, + help="First port number for the Footsies training environment server (default: 45001). Each server gets its own port.", +) +parser.add_argument( + "--eval-start-port", + type=int, + default=55001, + help="First port number for the Footsies evaluation environment server (default: 55001) Each server gets its own port.", +) +parser.add_argument( + "--binary-download-dir", + type=Path, + default="/tmp/ray/binaries/footsies", + help="Directory to download Footsies binaries (default: /tmp/ray/binaries/footsies)", +) +parser.add_argument( + "--binary-extract-dir", + type=Path, + default="/tmp/ray/binaries/footsies", + help="Directory to extract Footsies binaries (default: /tmp/ray/binaries/footsies)", +) +parser.add_argument( + "--binary-to-download", + type=str, + choices=["linux_server", "linux_windowed", "mac_headless", "mac_windowed"], + default="linux_server", + help="Target binary for Footsies environment (default: linux_server). Linux and Mac machines are supported. " + "'linux_server' and 'mac_headless' choices are the default options for the training. Game will run in the batchmode, without initializing the graphics. " + "'linux_windowed' and 'mac_windowed' choices are for the local run only, because " + "game will be rendered in the OS window. To use this option effectively, set up: " + "--no-tune --num-env-runners 0 --evaluation-num-env-runners 0", +) +parser.add_argument( + "--win-rate-threshold", + type=float, + default=0.8, + help="The main policy should have at least 'win-rate-threshold' win rate against the " + "other policy to advance to the next level. Moving to the next level " + "means adding a new policy to the mix.", +) +parser.add_argument( + "--target-mix-size", + type=int, + default=5, + help="Target number of policies (RLModules) in the mix to consider the test passed. " + "The initial mix size is 2: 'main policy' vs. 'other'. " + "`--target-mix-size=5` means that 3 new policies will be added to the mix. " + "Whether to add new policy is decided by checking the '--win-rate-threshold' condition. ", +) +parser.add_argument( + "--rollout-fragment-length", + type=int, + default=256, + help="The length of each rollout fragment to be collected by the EnvRunners when sampling.", +) + +main_policy = "lstm" +args = parser.parse_args() +register_env(name="FootsiesEnv", env_creator=env_creator) + +config = ( + PPOConfig() + .reporting( + min_time_s_per_iteration=30, + ) + .environment( + env="FootsiesEnv", + env_config={ + "max_t": 1000, + "frame_skip": 4, + "observation_delay": 16, + "train_start_port": args.train_start_port, + "eval_start_port": args.eval_start_port, + "host": "localhost", + "binary_download_dir": args.binary_download_dir, + "binary_extract_dir": args.binary_extract_dir, + "binary_to_download": args.binary_to_download, + }, + ) + .learners( + num_learners=1, + num_cpus_per_learner=1, + num_gpus_per_learner=0, + num_aggregator_actors_per_learner=0, + ) + .env_runners( + env_runner_cls=MultiAgentEnvRunner, + num_env_runners=args.num_env_runners or 1, + num_cpus_per_env_runner=0.5, + num_envs_per_env_runner=1, + batch_mode="truncate_episodes", + rollout_fragment_length=args.rollout_fragment_length, + episodes_to_numpy=False, + create_env_on_local_worker=True, + ) + .training( + train_batch_size_per_learner=args.rollout_fragment_length + * (args.num_env_runners or 1), + lr=1e-4, + entropy_coeff=0.01, + num_epochs=10, + minibatch_size=128, + ) + .multi_agent( + policies={ + main_policy, + "noop", + "back", + }, + # this is a starting policy_mapping_fn + # It will be updated by the MixManagerCallback during training. + policy_mapping_fn=Matchmaker( + [Matchup(main_policy, "noop", 1.0)] + ).agent_to_module_mapping_fn, + # we only train the main policy, this doesn't change during training. + policies_to_train=[main_policy], + ) + .rl_module( + rl_module_spec=MultiRLModuleSpec( + rl_module_specs={ + main_policy: RLModuleSpec( + module_class=LSTMContainingRLModule, + model_config={ + "lstm_cell_size": 128, + "dense_layers": [128, 128], + "max_seq_len": 64, + }, + ), + # for simplicity, all fixed RLModules are added to the config at the start. + # However, only "noop" is used at the start of training, + # the others are added to the mix later by the MixManagerCallback. + "noop": RLModuleSpec(module_class=NoopFixedRLModule), + "back": RLModuleSpec(module_class=BackFixedRLModule), + }, + ) + ) + .evaluation( + evaluation_num_env_runners=args.evaluation_num_env_runners or 1, + evaluation_sample_timeout_s=120, + evaluation_interval=1, + evaluation_duration=10, # 10 episodes is enough to get a good win rate estimate + evaluation_duration_unit="episodes", + evaluation_parallel_to_training=False, + # we may add new RLModules to the mix at the end of the evaluation stage. + # Running evaluation in parallel may result in training for one more iteration on the old mix. + evaluation_force_reset_envs_before_iteration=True, + evaluation_config={ + "env_config": {"env-for-evaluation": True}, + }, # evaluation_config is used to add an argument to the env creator. + ) + .callbacks( + [ + functools.partial( + MetricsLoggerCallback, + main_policy=main_policy, + ), + functools.partial( + MixManagerCallback, + win_rate_threshold=args.win_rate_threshold, + main_policy=main_policy, + target_mix_size=args.target_mix_size, + starting_modules=[main_policy, "noop"], + fixed_modules_progression_sequence=( + "noop", + "back", + ), + ), + ] + ) +) + +# stopping criteria to be passed to Ray Tune. The main stopping criterion is "mix_size". +# "mix_size" is reported at the end of each training iteration by the MixManagerCallback. +stop = { + NUM_ENV_STEPS_SAMPLED_LIFETIME: args.stop_timesteps, + TRAINING_ITERATION: args.stop_iters, + "mix_size": args.target_mix_size, +} + +if __name__ == "__main__": + from ray.rllib.utils.test_utils import run_rllib_example_script_experiment + + results = run_rllib_example_script_experiment( + base_config=config, + args=args, + stop=stop, + success_metric={ + "mix_size": args.target_mix_size + }, # pass the success metric for RLlib's testing framework + ) From 19cd1147f05f341ba71af2b16e8c05f5630a4b24 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Thu, 4 Sep 2025 15:12:49 -0700 Subject: [PATCH 1045/1566] [Data] Mark `test_groupby_e2e` as `data_non_parallel` (#56250) ## Why are these changes needed? ### Mark `test_groupby_e2e` as `data_non_parallel` `test_groupby_e2e` running into OOMs even though marked `enormous`. So tagging as `data_non_parallel`. https://buildkite.com/anyscale/rayturbo/builds/6127#0199137b-052c-404e-829b-4992e4d309e3 ``` [2025-09-04T07:54:10Z] Memory on the node (IP: 172.17.0.3, ID: 8141a363c5d7cf3ced6026777eaf254b1da0321a09a65b102a2e196e) where the lease (actor ID: NIL_IDlease ID: 9950000001000000ffffffffffffffffffffffffffffffffffffffffffffffff, name=_shuffle_block, pid=38068, memory used=0.13GB) was running was 14.68GB / 15.33GB (0.957355), which exceeds the memory usage threshold of 0.95. Ray killed this worker (ID: a6221da9f5db12ddd527e8edc718f3c279f7f8bfb094e38307ad2b3c) because it was the most recently scheduled task; to see more information about memory usage on this node, use `ray logs raylet.out -ip 172.17.0.3`. To see the logs of the worker, use `ray logs worker-a6221da9f5db12ddd527e8edc718f3c279f7f8bfb094e38307ad2b3c*out -ip 172.17.0.3. Top 10 memory users: ``` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD index 396cb8501b2a..a3b44dadf21b 100644 --- a/python/ray/data/BUILD +++ b/python/ray/data/BUILD @@ -383,6 +383,7 @@ py_test( size = "enormous", srcs = ["tests/test_groupby_e2e.py"], tags = [ + "data_non_parallel", "exclusive", "team:data", ], From 53abdd749f5d76e408847519c6f9b88e847e9e05 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 4 Sep 2025 18:48:24 -0500 Subject: [PATCH 1046/1566] [core] Drop messages received after `ClientConnection::Close` (#56240) ## Problem Previously, we've made the assumption that after the Raylet calls [client->Close](https://github.com/ray-project/ray/blob/6f3689a909d85b431983ad68e006fb4f59259233/src/ray/raylet/node_manager.cc#L1410), no messages will ever be received from that client again. We have many `RAY_CHECK(worker)` calls that assert that the client that sent the messages is a "registered client" or a "registered driver" in the worker pool. This was assumed to be safe because the Raylet is single threaded and we remove the worker from the registered maps *and* call `client->Close()` when we [disconnect a worker](https://github.com/ray-project/ray/blob/6f3689a909d85b431983ad68e006fb4f59259233/src/ray/raylet/node_manager.cc#L1275). Therefore, if no messages can be received after `client->Close()`, we can assume all messages are from registered workers. This assumption was not completely safe. In most cases, outstanding [boost::asio_async_read](https://github.com/ray-project/ray/blob/6f3689a909d85b431983ad68e006fb4f59259233/src/ray/ipc/client_connection.cc#L377) calls will be canceled and call their callback with an error code when `socket_.close()` is called ([docs](https://www.boost.org/doc/libs/boost_1_42_0/doc/html/boost_asio/reference/basic_stream_socket/close/overload2.html)). Sometimes, presumably when the underyling poll syscall has already populated boost's internal data buffer, the `async_read` call _will_ actually call its callback with a fully populated data buffer. See https://github.com/ray-project/ray/pull/56205 for a manual reproduction of this behavior. ## Solution To handle this edge case, I've introduced a `closed_` flag that is set when `ClientConnection::Close()` is called. If this flag is set and `async_read` returns a message with no error, we drop the message. This provides the guarantee that we previously assumed. I've also moved `Close()` to `ClientConnection` instead of inheriting it from `ServerConnection` because it was never used in `ServerConnection`. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/ipc/client_connection.cc | 24 ++++++++++++++++++++++-- src/ray/ipc/client_connection.h | 16 ++++++++++------ 2 files changed, 32 insertions(+), 8 deletions(-) diff --git a/src/ray/ipc/client_connection.cc b/src/ray/ipc/client_connection.cc index 24de00f14c3f..fd6c7a7dc971 100644 --- a/src/ray/ipc/client_connection.cc +++ b/src/ray/ipc/client_connection.cc @@ -360,6 +360,12 @@ void ClientConnection::Register() { registered_ = true; } +void ClientConnection::Close() { + closed_ = true; + boost::system::error_code ec; + socket_.close(ec); +} + void ClientConnection::ProcessMessages() { // Wait for a message header from the client. The message header includes the // protocol version, the message type, and the length of the message. @@ -399,9 +405,16 @@ void ClientConnection::ProcessMessageHeader(const boost::system::error_code &err return; } - // If there was no error, make sure the ray cookie matches. + if (closed_) { + // In most cases all outstanding reads will have been canceled when the socket was. + // closed. However, if the boost async_read call has already received data into its + // buffer from the poll syscall, it may succeed. If this happens, drop the message. + return; + } + if (!CheckRayCookie()) { - ServerConnection::Close(); + RAY_LOG(WARNING) << "Mismatched Ray cookie, closing client connection."; + Close(); return; } @@ -470,6 +483,13 @@ void ClientConnection::ProcessMessage(const boost::system::error_code &error) { return connection_error_handler_(std::move(this_ptr), error); } + if (closed_) { + // In most cases all outstanding reads will have been canceled when the socket was. + // closed. However, if the boost async_read call has already received data into its + // buffer from the poll syscall, it may succeed. If this happens, drop the message. + return; + } + int64_t start_ms = current_time_ms(); message_handler_(std::move(this_ptr), read_type_, read_message_); int64_t interval = current_time_ms() - start_ms; diff --git a/src/ray/ipc/client_connection.h b/src/ray/ipc/client_connection.h index 530d117f7766..1f03a0863a45 100644 --- a/src/ray/ipc/client_connection.h +++ b/src/ray/ipc/client_connection.h @@ -105,12 +105,6 @@ class ServerConnection : public std::enable_shared_from_this { /// \return Status. virtual Status ReadBuffer(const std::vector &buffer); - /// Shuts down socket for this connection. - void Close() { - boost::system::error_code ec; - socket_.close(ec); - } - /// Get the native handle of the socket. int GetNativeHandle() { return socket_.native_handle(); } @@ -226,6 +220,14 @@ class ClientConnection : public ServerConnection { /// Register the client. void Register(); + /// Close the connection forcefully. + /// + /// - Clients will receive an error the next time they interact with the connection. + /// - No further messages will be processed from `ProcessMessages`. + /// - The `ConnectionErrorHandler` may be called with an error indicating that + /// outstanding reads failed. + void Close(); + /// Listen for and process messages from the client connection. Once a /// message has been fully received, the client manager's /// ProcessClientMessage handler will be called. @@ -266,6 +268,8 @@ class ClientConnection : public ServerConnection { /// Whether the client has sent us a registration message yet. bool registered_; + /// Whether the connection has been explicitly closed by the server. + bool closed_ = false; /// The handler for a message from the client. MessageHandler message_handler_; /// The handler for an unexpected connection error from this client. From 05d3e04cbd1fe91dd9ca44385b44047743211e0d Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 4 Sep 2025 16:55:17 -0700 Subject: [PATCH 1047/1566] [serve] swap toolz for collections.defaultdict in tests (#56249) ## Why are these changes needed? Use `collections` instead of `toolz` in `test_metrics_utils` ## Related issue number https://github.com/ray-project/ray/issues/56227 Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/unit/test_metrics_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/unit/test_metrics_utils.py b/python/ray/serve/tests/unit/test_metrics_utils.py index 0e37d6b26d15..dd5e68c25d81 100644 --- a/python/ray/serve/tests/unit/test_metrics_utils.py +++ b/python/ray/serve/tests/unit/test_metrics_utils.py @@ -1,8 +1,8 @@ import asyncio import sys +from collections import defaultdict import pytest -from toolz.tests.test_dicttoolz import defaultdict from ray._common.test_utils import async_wait_for_condition from ray.serve._private.metrics_utils import ( From 9b910365e022f5cd10d394ee6d4216c41f4ffa93 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 4 Sep 2025 17:02:43 -0700 Subject: [PATCH 1048/1566] [core] Fix cancel race that leads to RAY_CHECK it->second.submitted_task_ref_count > 0 (#56123) Signed-off-by: hejialing.hjl Signed-off-by: dayshah Co-authored-by: hejialing.hjl Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 1 - src/ray/core_worker/core_worker.h | 2 - .../task_submission/actor_task_submitter.cc | 81 ++++++------ .../task_submission/actor_task_submitter.h | 39 +++--- src/ray/core_worker/tests/core_worker_test.cc | 117 ++++++++++++++---- .../core_worker/tests/memory_store_test.cc | 15 ++- 6 files changed, 165 insertions(+), 90 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 0dc1ea211221..147e0fa58627 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2287,7 +2287,6 @@ Status CoreWorker::SubmitActorTask( std::string err_msg = absl::StrFormat( "Can't find actor %s. It might be dead or it's from a different cluster", actor_id.Hex()); - // TODO(dayshah): make status take by value return Status::NotFound(err_msg); } /// Check whether backpressure may happen at the very beginning of submitting a task. diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index b5f07f4e8505..ba060a05b500 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1888,8 +1888,6 @@ class CoreWorker { int64_t max_direct_call_object_size_; - friend class CoreWorkerTest; - TaskCounter task_counter_; /// Used to guarantee that submitting actor task is thread safe. diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 765697d75a1a..9df800d15e39 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -173,6 +173,8 @@ void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { bool task_queued = false; uint64_t send_pos = 0; { + // We must release mu_ before resolving the task dependencies since the callback that + // reacquires mu_ may get called in the same call stack. absl::MutexLock lock(&mu_); auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); @@ -193,37 +195,45 @@ void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } if (task_queued) { + { + absl::MutexLock resolver_lock(&resolver_mu_); + pending_dependency_resolution_.insert(task_id); + } io_service_.post( [task_spec, task_id, actor_id, send_pos, this]() mutable { - // We must release the lock before resolving the task dependencies since - // the callback may get called in the same call stack. - resolver_.ResolveDependencies( - task_spec, [this, send_pos, actor_id, task_id](Status status) { - task_manager_.MarkDependenciesResolved(task_id); - bool fail_or_retry_task = false; - { - absl::MutexLock lock(&mu_); - auto queue = client_queues_.find(actor_id); - RAY_CHECK(queue != client_queues_.end()); - auto &actor_submit_queue = queue->second.actor_submit_queue_; - // Only dispatch tasks if the submitted task is still queued. The task - // may have been dequeued if the actor has since failed. - if (actor_submit_queue->Contains(send_pos)) { - if (status.ok()) { - actor_submit_queue->MarkDependencyResolved(send_pos); - SendPendingTasks(actor_id); - } else { - fail_or_retry_task = true; - actor_submit_queue->MarkDependencyFailed(send_pos); + { + absl::MutexLock resolver_lock(&resolver_mu_); + if (pending_dependency_resolution_.erase(task_id) == 0) { + return; + } + resolver_.ResolveDependencies( + task_spec, [this, send_pos, actor_id, task_id](Status status) { + task_manager_.MarkDependenciesResolved(task_id); + bool fail_or_retry_task = false; + { + absl::MutexLock lock(&mu_); + auto queue = client_queues_.find(actor_id); + RAY_CHECK(queue != client_queues_.end()); + auto &actor_submit_queue = queue->second.actor_submit_queue_; + // Only dispatch tasks if the submitted task is still queued. The task + // may have been dequeued if the actor has since failed. + if (actor_submit_queue->Contains(send_pos)) { + if (status.ok()) { + actor_submit_queue->MarkDependencyResolved(send_pos); + SendPendingTasks(actor_id); + } else { + fail_or_retry_task = true; + actor_submit_queue->MarkDependencyFailed(send_pos); + } } } - } - if (fail_or_retry_task) { - GetTaskManagerWithoutMu().FailOrRetryPendingTask( - task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); - } - }); + if (fail_or_retry_task) { + GetTaskManagerWithoutMu().FailOrRetryPendingTask( + task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); + } + }); + } }, "ActorTaskSubmitter::SubmitTask"); } else { @@ -254,6 +264,12 @@ void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } } +void ActorTaskSubmitter::CancelDependencyResolution(const TaskID &task_id) { + absl::MutexLock resolver_lock(&resolver_mu_); + pending_dependency_resolution_.erase(task_id); + RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); +} + void ActorTaskSubmitter::DisconnectRpcClient(ClientQueue &queue) { queue.rpc_client_ = nullptr; core_worker_client_pool_.Disconnect(WorkerID::FromBinary(queue.worker_id_)); @@ -435,7 +451,7 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, task_manager_.MarkTaskNoRetry(task_id); // This task may have been waiting for dependency resolution, so cancel // this first. - RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); + CancelDependencyResolution(task_id); bool fail_immediatedly = error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && @@ -707,7 +723,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // This task may have been waiting for dependency resolution, so cancel // this first. - RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); + CancelDependencyResolution(task_id); will_retry = GetTaskManagerWithoutMu().FailOrRetryPendingTask( task_id, @@ -886,13 +902,6 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) task_queued = queue->second.actor_submit_queue_->Contains(send_pos); if (task_queued) { - auto dep_resolved = - queue->second.actor_submit_queue_->DependenciesResolved(send_pos); - if (!dep_resolved) { - RAY_LOG(DEBUG).WithField(task_id) - << "Task has been resolving dependencies. Cancel to resolve dependencies"; - RAY_UNUSED(resolver_.CancelDependencyResolution(task_id)); - } RAY_LOG(DEBUG).WithField(task_id) << "Task was queued. Mark a task is canceled from a queue."; queue->second.actor_submit_queue_->MarkTaskCanceled(send_pos); @@ -903,6 +912,8 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) // The task won't be sent to an actor in this case. // We cannot hold a lock when calling `FailOrRetryPendingTask`. if (task_queued) { + // Could be in dependency resolution or ResolveDependencies call may be queued up + CancelDependencyResolution(task_id); rpc::RayErrorInfo error_info; std::ostringstream stream; stream << "The task " << task_id << " is canceled from an actor " << actor_id diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index 64b809da29b9..a07591d582b7 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -15,11 +15,8 @@ #pragma once #include -#include #include #include -#include -#include #include #include @@ -27,7 +24,6 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" -#include "ray/common/asio/asio_util.h" #include "ray/common/id.h" #include "ray/core_worker/actor_creator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" @@ -63,7 +59,7 @@ class ActorTaskSubmitterInterface { /// If called, preempted = true will be set in the death cause upon actor death. virtual void SetPreempted(const ActorID &actor_id) = 0; - virtual ~ActorTaskSubmitterInterface() {} + virtual ~ActorTaskSubmitterInterface() = default; }; // This class is thread-safe. @@ -81,14 +77,13 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { actor_creator_(actor_creator), resolver_(store, task_manager, actor_creator, tensor_transport_getter), task_manager_(task_manager), - warn_excess_queueing_(warn_excess_queueing), + warn_excess_queueing_(std::move(warn_excess_queueing)), + next_queueing_warn_threshold_( + ::RayConfig::instance().actor_excess_queueing_warn_threshold()), io_service_(io_service), - reference_counter_(reference_counter) { - next_queueing_warn_threshold_ = - ::RayConfig::instance().actor_excess_queueing_warn_threshold(); - } + reference_counter_(std::move(reference_counter)) {} - void SetPreempted(const ActorID &actor_id) { + void SetPreempted(const ActorID &actor_id) override { absl::MutexLock lock(&mu_); if (auto iter = client_queues_.find(actor_id); iter != client_queues_.end()) { iter->second.preempted_ = true; @@ -110,7 +105,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { int32_t max_pending_calls, bool allow_out_of_order_execution, bool fail_if_actor_unreachable, - bool owned); + bool owned) override; /// Submit a task to an actor for execution. void SubmitTask(TaskSpecification task_spec); @@ -127,7 +122,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// ignore the command to connect. void ConnectActor(const ActorID &actor_id, const rpc::Address &address, - int64_t num_restarts); + int64_t num_restarts) override; /// Disconnect from a failed actor. /// @@ -143,13 +138,13 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { int64_t num_restarts, bool dead, const rpc::ActorDeathCause &death_cause, - bool is_restartable); + bool is_restartable) override; /// Set the timerstamp for the caller. void SetCallerCreationTimestamp(int64_t timestamp); /// Check timeout tasks that are waiting for Death info. - void CheckTimeoutTasks(); + void CheckTimeoutTasks() override; /// If the number of tasks in requests is greater than or equal to /// max_pending_calls. @@ -303,7 +298,7 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { /// pending client callbacks. std::shared_ptr rpc_client_ = nullptr; /// The intended worker ID of the actor. - std::string worker_id_ = ""; + std::string worker_id_; /// The actor is out of scope but the death info is not published /// to this worker yet. bool pending_out_of_scope_death_ = false; @@ -360,6 +355,9 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { } }; + void CancelDependencyResolution(const TaskID &task_id) + ABSL_LOCKS_EXCLUDED(resolver_mu_); + /// Fail the task with the timeout error, or the preempted error. void FailTaskWithError(const PendingTaskWaitingForDeathInfo &task); @@ -418,6 +416,13 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { // Generators that are currently running and need to be resubmitted. absl::flat_hash_set generators_to_resubmit_ ABSL_GUARDED_BY(mu_); + // For when kicking off dependency resolution is still queued on the io_context. + // We need an extra mutex because the ResolveDependencies callback could be called + // immediately and it acquires mu_ and needs to call GetTaskManagerWithoutMu. + absl::Mutex resolver_mu_ ABSL_ACQUIRED_BEFORE(mu_); + absl::flat_hash_set pending_dependency_resolution_ + ABSL_GUARDED_BY(resolver_mu_); + /// Resolve object dependencies. LocalDependencyResolver resolver_; @@ -435,8 +440,6 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { instrumented_io_context &io_service_; std::shared_ptr reference_counter_; - - friend class CoreWorkerTest; }; } // namespace core diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index fe05b3f8d39e..635bbe4e19fa 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -50,9 +50,9 @@ using ::testing::_; using ::testing::InvokeWithoutArgs; using ::testing::Return; -class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { +class CoreWorkerTest : public ::testing::Test { public: - CoreWorkerHandleGetObjectStatusTest() + CoreWorkerTest() : io_work_(io_service_.get_executor()), task_execution_service_work_(task_execution_service_.get_executor()) { CoreWorkerOptions options; @@ -113,17 +113,16 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { false /* token_auth */); core_worker_server->Run(); - rpc::Address rpc_address; - rpc_address.set_ip_address(options.node_ip_address); - rpc_address.set_port(core_worker_server->GetPort()); - rpc_address.set_node_id(NodeID::FromRandom().Binary()); - rpc_address.set_worker_id(worker_context->GetWorkerID().Binary()); + rpc_address_.set_ip_address(options.node_ip_address); + rpc_address_.set_port(core_worker_server->GetPort()); + rpc_address_.set_node_id(NodeID::FromRandom().Binary()); + rpc_address_.set_worker_id(worker_context->GetWorkerID().Binary()); auto fake_object_info_publisher = std::make_unique(); auto fake_object_info_subscriber = std::make_unique(); reference_counter_ = std::make_shared( - rpc_address, + rpc_address_, fake_object_info_publisher.get(), fake_object_info_subscriber.get(), [](const NodeID &) { return false; }, @@ -139,14 +138,14 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { const absl::flat_hash_set &locations, uint64_t object_size) {}, core_worker_client_pool, - rpc_address); + rpc_address_); auto task_event_buffer = std::make_unique( std::make_unique(), std::make_unique(0, *client_call_manager), "test_session"); - auto task_manager = std::make_shared( + task_manager_ = std::make_shared( *memory_store_, *reference_counter_, [](const RayObject &object, const ObjectID &object_id) { return Status::OK(); }, @@ -164,31 +163,31 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { mock_gcs_client); auto object_recovery_manager = std::make_unique( - rpc_address, + rpc_address_, raylet_client_pool, [](const ObjectID &object_id, const ObjectLookupCallback &callback) { return Status::OK(); }, - *task_manager, + *task_manager_, *reference_counter_, *memory_store_, [](const ObjectID &object_id, rpc::ErrorType reason, bool pin_object) {}); auto lease_policy = std::unique_ptr( - std::make_unique(rpc_address)); + std::make_unique(rpc_address_)); auto lease_request_rate_limiter = std::make_shared(10); auto actor_creator = std::make_shared(mock_gcs_client); auto normal_task_submitter = std::make_unique( - rpc_address, + rpc_address_, fake_local_raylet_rpc_client, core_worker_client_pool, raylet_client_pool, std::move(lease_policy), memory_store_, - *task_manager, + *task_manager_, NodeID::Nil(), WorkerType::WORKER, 10000, @@ -201,13 +200,14 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { auto actor_task_submitter = std::make_unique( *core_worker_client_pool, *memory_store_, - *task_manager, + *task_manager_, *actor_creator, /*tensor_transport_getter=*/ [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; }, [](const ActorID &actor_id, uint64_t num_queued) { return Status::OK(); }, io_service_, reference_counter_); + actor_task_submitter_ = actor_task_submitter.get(); auto actor_manager = std::make_unique( mock_gcs_client, *actor_task_submitter, *reference_counter_); @@ -224,7 +224,7 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { std::move(raylet_client_pool), std::move(periodical_runner), std::move(core_worker_server), - std::move(rpc_address), + std::move(rpc_address_), std::move(mock_gcs_client), std::move(fake_raylet_ipc_client), std::move(fake_local_raylet_rpc_client), @@ -234,7 +234,7 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { nullptr, // plasma_store_provider_ nullptr, // mutable_object_provider_ std::move(future_resolver), - std::move(task_manager), + task_manager_, std::move(actor_creator), std::move(actor_task_submitter), std::move(fake_object_info_publisher), @@ -249,18 +249,19 @@ class CoreWorkerHandleGetObjectStatusTest : public ::testing::Test { } protected: - instrumented_io_context io_service_{/*enable_lag_probe=*/false, - /*running_on_single_thread=*/true}; - instrumented_io_context task_execution_service_{/*enable_lag_probe=*/false, - /*running_on_single_thread=*/true}; + instrumented_io_context io_service_; + instrumented_io_context task_execution_service_; boost::asio::executor_work_guard io_work_; boost::asio::executor_work_guard task_execution_service_work_; boost::thread io_thread_; + rpc::Address rpc_address_; std::shared_ptr reference_counter_; std::shared_ptr memory_store_; + ActorTaskSubmitter *actor_task_submitter_; + std::shared_ptr task_manager_; std::shared_ptr core_worker_; }; @@ -277,7 +278,7 @@ std::shared_ptr MakeRayObject(const std::string &data_str, return std::make_shared(data, metadata, std::vector()); } -TEST_F(CoreWorkerHandleGetObjectStatusTest, IdempotencyTest) { +TEST_F(CoreWorkerTest, HandleGetObjectStatusIdempotency) { auto object_id = ObjectID::FromRandom(); auto ray_object = MakeRayObject("test_data", "meta"); @@ -327,7 +328,7 @@ TEST_F(CoreWorkerHandleGetObjectStatusTest, IdempotencyTest) { EXPECT_EQ("meta", reply2.object().metadata()); } -TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectPutAfterFirstRequest) { +TEST_F(CoreWorkerTest, HandleGetObjectStatusObjectPutAfterFirstRequest) { auto object_id = ObjectID::FromRandom(); auto ray_object = MakeRayObject("test_data", "meta"); @@ -382,7 +383,7 @@ TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectPutAfterFirstRequest) { EXPECT_EQ("meta", reply2.object().metadata()); } -TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectFreedBetweenRequests) { +TEST_F(CoreWorkerTest, HandleGetObjectStatusObjectFreedBetweenRequests) { auto object_id = ObjectID::FromRandom(); auto ray_object = MakeRayObject("test_data", "meta"); @@ -432,7 +433,7 @@ TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectFreedBetweenRequests) { ASSERT_FALSE(io_service_.poll_one()); } -TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectOutOfScope) { +TEST_F(CoreWorkerTest, HandleGetObjectStatusObjectOutOfScope) { auto object_id = ObjectID::FromRandom(); auto ray_object = MakeRayObject("test_data", "meta"); @@ -483,5 +484,69 @@ TEST_F(CoreWorkerHandleGetObjectStatusTest, ObjectOutOfScope) { EXPECT_EQ(reply2.status(), rpc::GetObjectStatusReply::OUT_OF_SCOPE); } +namespace { + +ObjectID CreateInlineObjectInMemoryStoreAndRefCounter(CoreWorkerMemoryStore &memory_store, + ReferenceCounter &reference_counter, + rpc::Address &rpc_address) { + auto inlined_dependency_id = ObjectID::FromRandom(); + std::string data = "hello"; + auto data_ptr = const_cast(reinterpret_cast(data.data())); + auto data_buffer = + std::make_shared(data_ptr, data.size(), /*copy_data=*/true); + RayObject memory_store_object(data_buffer, + /*metadata=*/nullptr, + std::vector(), + /*copy_data=*/true); + reference_counter.AddOwnedObject(inlined_dependency_id, + /*contained_ids=*/{}, + rpc_address, + "call_site", + /*object_size=*/100, + /*is_reconstructable=*/false, + /*add_local_ref=*/true); + memory_store.Put(memory_store_object, inlined_dependency_id); + return inlined_dependency_id; +} + +} // namespace + +TEST_F(CoreWorkerTest, ActorTaskCancelDuringDepResolution) { + /* + See https://github.com/ray-project/ray/pull/56123 for context. + 1. Put an inline object in the memory store + ref counter. + 2. Create an actor (just creating an actor queue in the submitter). + 3. Submit an actor task with the inline objects as dependencies. + 4. Cancel the actor task. + 5. Run the io context to completion to run the actual submission + dependency + resolution logic. + */ + + auto inlined_dependency_id = CreateInlineObjectInMemoryStoreAndRefCounter( + *memory_store_, *reference_counter_, rpc_address_); + + auto actor_id = ActorID::Of(JobID::FromInt(0), TaskID::Nil(), 0); + actor_task_submitter_->AddActorQueueIfNotExists(actor_id, + /*max_pending_calls=*/-1, + /*allow_out_of_order_execution=*/false, + /*fail_if_actor_unreachable=*/true, + /*owned=*/false); + + TaskSpecification task; + auto &task_message = task.GetMutableMessage(); + task_message.set_task_id(TaskID::FromRandom(actor_id.JobId()).Binary()); + task_message.set_type(TaskType::ACTOR_TASK); + task_message.mutable_actor_task_spec()->set_actor_id(actor_id.Binary()); + task_message.add_args()->mutable_object_ref()->set_object_id( + inlined_dependency_id.Binary()); + task_manager_->AddPendingTask(rpc_address_, task, "call_site"); + actor_task_submitter_->SubmitTask(task); + + actor_task_submitter_->CancelTask(task, /*recursive=*/false); + + while (io_service_.poll_one() > 0) { + } +} + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/tests/memory_store_test.cc b/src/ray/core_worker/tests/memory_store_test.cc index fcee0b090698..5a90b26af481 100644 --- a/src/ray/core_worker/tests/memory_store_test.cc +++ b/src/ray/core_worker/tests/memory_store_test.cc @@ -31,18 +31,17 @@ namespace ray { namespace core { -inline std::shared_ptr MakeBufferFromString(const uint8_t *data, - size_t data_size) { - auto metadata = const_cast(data); +namespace { + +std::shared_ptr MakeLocalMemoryBufferFromString( + const std::string &str) { + auto metadata = const_cast(reinterpret_cast(str.data())); auto meta_buffer = - std::make_shared(metadata, data_size, /*copy_data=*/true); + std::make_shared(metadata, str.size(), /*copy_data=*/true); return meta_buffer; } -inline std::shared_ptr MakeLocalMemoryBufferFromString( - const std::string &str) { - return MakeBufferFromString(reinterpret_cast(str.data()), str.size()); -} +} // namespace TEST(TestMemoryStore, TestReportUnhandledErrors) { std::vector> results; From 898926deab7ff3dd662e93f0063108002ee503cc Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 5 Sep 2025 02:37:34 +0200 Subject: [PATCH 1049/1566] [Serve.llm] Gracefully return timeouts as HTTPException (#56264) Signed-off-by: Kourosh Hakhamaneshi Signed-off-by: Douglas Strodtman --- .../serve/deployments/routers/router.py | 20 ++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index d9af5b28e327..240fff0184e7 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -1,6 +1,7 @@ import asyncio import json import sys +from contextlib import asynccontextmanager from typing import ( Any, AsyncGenerator, @@ -218,6 +219,19 @@ async def _openai_json_wrapper( yield "data: [DONE]\n\n" +@asynccontextmanager +async def router_request_timeout(timeout_duration: float): + try: + async with timeout(timeout_duration): + yield + except asyncio.TimeoutError as e: + raise OpenAIHTTPException( + status_code=status.HTTP_408_REQUEST_TIMEOUT, + message="Request server side timeout", + internal_message=str(e), + ) + + class LLMRouter: def __init__( self, @@ -418,7 +432,7 @@ async def _process_llm_request( ) call_method = "chat" if is_chat else "completions" - async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): + async with router_request_timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): gen = self._get_response(body=body, call_method=call_method) @@ -476,7 +490,7 @@ async def embeddings(self, body: EmbeddingRequest) -> Response: Returns: A response object with embeddings. """ - async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): + async with router_request_timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): results = self._get_response(body=body, call_method="embeddings") result = await results.__anext__() if isinstance(result, ErrorResponse): @@ -502,7 +516,7 @@ async def score(self, body: ScoreRequest) -> Response: A response object with scores. """ - async with timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): + async with router_request_timeout(DEFAULT_LLM_ROUTER_HTTP_TIMEOUT): results = self._get_response(body=body, call_method="score") result = await results.__anext__() if isinstance(result, ErrorResponse): From 51a220e9f7b1b9e1a7198b2e230cc0009dd2ca70 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 4 Sep 2025 23:26:45 -0700 Subject: [PATCH 1050/1566] [core][gpu-objects] Fix wrong skipif in test_gpu_objects_gloo (#56258) We should not skip it, since it doesn't need the tensordict dependency. Signed-off-by: Douglas Strodtman --- python/ray/tests/gpu_objects/test_gpu_objects_gloo.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index 1349dc09f4da..7ad5a4a3081d 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -517,10 +517,6 @@ def test_fetch_gpu_object_to_driver(ray_start_regular): assert result[2] == 7 -@pytest.mark.skipif( - not support_tensordict, - reason="tensordict is not supported on this platform", -) def test_invalid_tensor_transport(ray_start_regular): with pytest.raises(ValueError, match="Invalid tensor transport"): From 1925b5ca084c5699f6372f904275d167f974a51b Mon Sep 17 00:00:00 2001 From: Mao Yancan Date: Fri, 5 Sep 2025 23:01:46 +0800 Subject: [PATCH 1051/1566] gc collect from a gc_thread (#55838) Ray proactively triggers gc.collect() on idle workers to release Python objects that may still hold Plasma shared memory (shm) references. In the current implementation in (_raylet.pyx gc_collect()), Ray calls gc.collect() from Cython under a with gil block periodically. If the Python object graph is complex (e.g., cyclic references with finalizers), gc.collect() may take a long time. During this period, since the GIL is held for the entire collection, user code is completely frozen if gc.collect() time is longer than the periodic interval (e.g., 10s). We propose decoupling GC execution from the RPC call: gc_collect in Cython should not directly run gc.collect(). Instead, it should "signal an event" with minimum execution time (e.g., using a threading.Event or similar). A dedicated Python GC thread consumes this event and executes gc.collect() asynchronously, with a configurable GC interval. ## Related issue number Closes #55837 --------- Signed-off-by: Mao Yancan Co-authored-by: Mao Yancan Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/gc_collect_manager.py | 65 +++++++++++ python/ray/_private/ray_constants.py | 2 + python/ray/_raylet.pxd | 1 + python/ray/_raylet.pyx | 35 ++++-- python/ray/includes/ray_config.pxd | 2 + python/ray/includes/ray_config.pxi | 4 + python/ray/tests/test_basic.py | 2 +- python/ray/tests/test_global_gc.py | 134 ++++++++++++++++++++++ src/ray/common/ray_config_def.h | 3 + src/ray/raylet/worker_pool.cc | 1 + 10 files changed, 240 insertions(+), 9 deletions(-) create mode 100644 python/ray/_private/gc_collect_manager.py diff --git a/python/ray/_private/gc_collect_manager.py b/python/ray/_private/gc_collect_manager.py new file mode 100644 index 000000000000..d9bb723b88b0 --- /dev/null +++ b/python/ray/_private/gc_collect_manager.py @@ -0,0 +1,65 @@ +import gc +import logging +import threading +import time +from typing import Callable, Optional + +logger = logging.getLogger(__name__) + + +class PythonGCThread(threading.Thread): + """A background thread that triggers Python garbage collection. + + This thread waits for GC events from CoreWorker and triggers `gc.collect()` when + requested, ensuring that collections are spaced out by at least + `min_interval_s` seconds.""" + + def __init__( + self, *, min_interval_s: int = 5, gc_collect_func: Optional[Callable] = None + ): + logger.debug("Starting Python GC thread") + super().__init__(name="PythonGCThread", daemon=True) + self._should_exit = False + self._last_gc_time = float("-inf") + self._min_gc_interval = min_interval_s + self._gc_event = threading.Event() + # Set the gc_collect_func for UT, defaulting to gc.collect if None + self._gc_collect_func = gc_collect_func or gc.collect + + def trigger_gc(self) -> None: + self._gc_event.set() + + def run(self): + while not self._should_exit: + self._gc_event.wait() + self._gc_event.clear() + + if self._should_exit: + break + + time_since_last_gc = time.monotonic() - self._last_gc_time + if time_since_last_gc < self._min_gc_interval: + logger.debug( + f"Skipping GC, only {time_since_last_gc:.2f}s since last GC" + ) + continue + + try: + start = time.monotonic() + num_freed = self._gc_collect_func() + self._last_gc_time = time.monotonic() + if num_freed > 0: + logger.debug( + "gc.collect() freed {} refs in {} seconds".format( + num_freed, self._last_gc_time - start + ) + ) + except Exception as e: + logger.error(f"Error during GC: {e}") + self._last_gc_time = time.monotonic() + + def stop(self): + logger.debug("Stopping Python GC thread") + self._should_exit = True + self._gc_event.set() + self.join() diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index 33de100852ba..c161a95c38f9 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -584,3 +584,5 @@ def gcs_actor_scheduling_enabled(): FETCH_FAIL_TIMEOUT_SECONDS = ( env_integer("RAY_fetch_fail_timeout_milliseconds", 60000) / 1000 ) + +RAY_GC_MIN_COLLECT_INTERVAL = env_float("RAY_GC_MIN_COLLECT_INTERVAL_S", 5) diff --git a/python/ray/_raylet.pxd b/python/ray/_raylet.pxd index 89ef3261db2a..98b445fc3abb 100644 --- a/python/ray/_raylet.pxd +++ b/python/ray/_raylet.pxd @@ -140,6 +140,7 @@ cdef class CoreWorker: object _task_id_to_future_lock dict _task_id_to_future object event_loop_executor + object _gc_thread cdef unique_ptr[CAddress] _convert_python_address(self, address=*) cdef store_task_output( diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index a8c02bc4848d..edcb38d2c41c 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -248,6 +248,7 @@ from ray._private.utils import DeferSigint from ray._private.object_ref_generator import DynamicObjectRefGenerator from ray.util.annotations import PublicAPI from ray._private.custom_types import TensorTransportEnum +from ray._private.gc_collect_manager import PythonGCThread # Expose GCC & Clang macro to report # whether C++ optimizations were enabled during compilation. @@ -2496,14 +2497,21 @@ cdef CRayStatus check_signals() nogil: cdef void gc_collect(c_bool triggered_by_global_gc) nogil: - with gil: - start = time.perf_counter() - num_freed = gc.collect() - end = time.perf_counter() - if num_freed > 0: - logger.debug( - "gc.collect() freed {} refs in {} seconds".format( - num_freed, end - start)) + with gil: + if RayConfig.instance().start_python_gc_manager_thread(): + start = time.perf_counter() + worker = ray._private.worker.global_worker + worker.core_worker.trigger_gc() + end = time.perf_counter() + logger.debug("GC event triggered in {} seconds".format(end - start)) + else: + start = time.perf_counter() + num_freed = gc.collect() + end = time.perf_counter() + if num_freed > 0: + logger.debug( + "gc.collect() freed {} refs in {} seconds".format( + num_freed, end - start)) cdef c_vector[c_string] spill_objects_handler( @@ -3054,6 +3062,11 @@ cdef class CoreWorker: self._task_id_to_future = {} self.event_loop_executor = None + self._gc_thread = None + if RayConfig.instance().start_python_gc_manager_thread(): + self._gc_thread = PythonGCThread(min_interval_s=ray_constants.RAY_GC_MIN_COLLECT_INTERVAL) + self._gc_thread.start() + def shutdown_driver(self): # If it's a worker, the core worker process should have been # shutdown. So we can't call @@ -3061,6 +3074,9 @@ cdef class CoreWorker: # Instead, we use the cached `is_driver` flag to test if it's a # driver. assert self.is_driver + if self._gc_thread is not None: + self._gc_thread.stop() + self._gc_thread = None with nogil: CCoreWorkerProcess.Shutdown() @@ -4719,6 +4735,9 @@ cdef class CoreWorker: return self.current_runtime_env + def trigger_gc(self): + self._gc_thread.trigger_gc() + def get_pending_children_task_ids(self, parent_task_id: TaskID): cdef: CTaskID c_parent_task_id = parent_task_id.native() diff --git a/python/ray/includes/ray_config.pxd b/python/ray/includes/ray_config.pxd index 01e9827b98f9..729395a22ee3 100644 --- a/python/ray/includes/ray_config.pxd +++ b/python/ray/includes/ray_config.pxd @@ -86,3 +86,5 @@ cdef extern from "ray/common/ray_config.h" nogil: int maximum_gcs_destroyed_actor_cached_count() const c_bool record_task_actor_creation_sites() const + + c_bool start_python_gc_manager_thread() const diff --git a/python/ray/includes/ray_config.pxi b/python/ray/includes/ray_config.pxi index 26236f2cce2c..6915e4877962 100644 --- a/python/ray/includes/ray_config.pxi +++ b/python/ray/includes/ray_config.pxi @@ -140,3 +140,7 @@ cdef class Config: @staticmethod def maximum_gcs_destroyed_actor_cached_count(): return RayConfig.instance().maximum_gcs_destroyed_actor_cached_count() + + @staticmethod + def start_python_gc_manager_thread(): + return RayConfig.instance().start_python_gc_manager_thread() diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py index c2bb0c662034..968005cf4980 100644 --- a/python/ray/tests/test_basic.py +++ b/python/ray/tests/test_basic.py @@ -267,7 +267,7 @@ def get_thread_count(self): ray.get(actor.get_thread_count.remote()) # Lowering these numbers in this assert should be celebrated, # increasing these numbers should be scrutinized - assert ray.get(actor.get_thread_count.remote()) in {24, 25} + assert ray.get(actor.get_thread_count.remote()) in {24, 25, 26} # https://github.com/ray-project/ray/issues/7287 diff --git a/python/ray/tests/test_global_gc.py b/python/ray/tests/test_global_gc.py index ad3aca696ebb..1e6fa4cf2606 100644 --- a/python/ray/tests/test_global_gc.py +++ b/python/ray/tests/test_global_gc.py @@ -2,7 +2,9 @@ import gc import logging import sys +import time import weakref +from unittest.mock import Mock import numpy as np import pytest @@ -10,6 +12,7 @@ import ray import ray.cluster_utils from ray._common.test_utils import wait_for_condition +from ray._private.gc_collect_manager import PythonGCThread from ray._private.internal_api import global_gc logger = logging.getLogger(__name__) @@ -216,5 +219,136 @@ def f(self): gc.enable() +def test_local_gc_called_once_per_interval(shutdown_only): + ray.init( + num_cpus=2, + _system_config={ + "local_gc_interval_s": 1, + "local_gc_min_interval_s": 0, + "global_gc_min_interval_s": 0, + }, + ) + + class ObjectWithCyclicRef: + def __init__(self): + self.loop = self + + @ray.remote(num_cpus=1) + class GarbageHolder: + def __init__(self): + gc.disable() + self.garbage = None + + def make_garbage(self): + x = ObjectWithCyclicRef() + self.garbage = weakref.ref(x) + return True + + def has_garbage(self): + return self.garbage() is not None + + def all_garbage_collected(local_ref): + return local_ref() is None and not any( + ray.get([a.has_garbage.remote() for a in actors]) + ) + + try: + gc.disable() + + # Round 1: first batch of garbage should be collected + # Local driver. + local_ref = weakref.ref(ObjectWithCyclicRef()) + # Remote workers. + actors = [GarbageHolder.remote() for _ in range(2)] + ray.get([a.make_garbage.remote() for a in actors]) + + assert local_ref() is not None + assert all(ray.get([a.has_garbage.remote() for a in actors])) + + wait_for_condition( + lambda: all_garbage_collected(local_ref), + ) + + # Round 2: second batch should NOT be collected within min_interval + local_ref = weakref.ref(ObjectWithCyclicRef()) + ray.get([a.make_garbage.remote() for a in actors]) + + with pytest.raises(RuntimeError): + wait_for_condition( + lambda: all_garbage_collected(local_ref), + timeout=2.0, # shorter than min_interval + retry_interval_ms=50, + ) + + # Round 3: after min_interval passes, garbage should be collected + wait_for_condition( + lambda: all_garbage_collected(local_ref), + timeout=10.0, + retry_interval_ms=50, + ) + + finally: + gc.enable() + + +def test_gc_manager_thread_basic_functionality(): + mock_gc_collect = Mock(return_value=10) + + gc_thread = PythonGCThread(min_interval_s=1, gc_collect_func=mock_gc_collect) + + try: + gc_thread.start() + assert gc_thread.is_alive() + + gc_thread.trigger_gc() + + wait_for_condition(lambda: mock_gc_collect.call_count == 1, timeout=2) + + mock_gc_collect.assert_called_once() + + finally: + gc_thread.stop() + assert not gc_thread.is_alive() + + +def test_gc_manager_thread_min_interval_throttling(): + mock_gc_collect = Mock(return_value=5) + + gc_thread = PythonGCThread(min_interval_s=2, gc_collect_func=mock_gc_collect) + + try: + gc_thread.start() + + for _ in range(3): + gc_thread.trigger_gc() + time.sleep(1) + + wait_for_condition(lambda: mock_gc_collect.call_count == 2, timeout=2) + + assert mock_gc_collect.call_count == 2 + + finally: + gc_thread.stop() + + +def test_gc_manager_thread_exception_handling(): + mock_gc_collect = Mock(side_effect=RuntimeError("GC failed")) + + gc_thread = PythonGCThread(min_interval_s=5, gc_collect_func=mock_gc_collect) + + try: + gc_thread.start() + + for _ in range(3): + gc_thread.trigger_gc() + time.sleep(0.1) + + assert gc_thread.is_alive() + mock_gc_collect.assert_called_once() + + finally: + gc_thread.stop() + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 6e89e27d4b25..d496e52fed7b 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -945,3 +945,6 @@ RAY_CONFIG(int32_t, raylet_rpc_server_reconnect_timeout_s, 60) // process getting spawned. Setting to zero or less maintains the default // number of threads grpc will spawn. RAY_CONFIG(int64_t, worker_num_grpc_internal_threads, 0) + +// Whether to start a background thread to manage Python GC in workers. +RAY_CONFIG(bool, start_python_gc_manager_thread, true) diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 5f5719d206f1..f20274fbb5b8 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -461,6 +461,7 @@ WorkerPool::BuildProcessCommandArgs(const Language &language, // Support forking in gRPC. env.insert({"GRPC_ENABLE_FORK_SUPPORT", "True"}); env.insert({"GRPC_POLL_STRATEGY", "poll"}); + env.insert({"RAY_start_python_gc_manager_thread", "0"}); } return {std::move(worker_command_args), std::move(env)}; From 5c9c88257a648d9006bd9ba58559f4ff0e6eed4b Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 5 Sep 2025 08:49:07 -0700 Subject: [PATCH 1052/1566] [Core] Remove the unnecessary redirection of get_protocols_provider (#56262) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/default_impl.py | 6 ------ python/ray/_private/runtime_env/protocol.py | 10 +++------- 2 files changed, 3 insertions(+), 13 deletions(-) diff --git a/python/ray/_private/runtime_env/default_impl.py b/python/ray/_private/runtime_env/default_impl.py index 331dc7fce01e..f0d1567530af 100644 --- a/python/ray/_private/runtime_env/default_impl.py +++ b/python/ray/_private/runtime_env/default_impl.py @@ -3,9 +3,3 @@ def get_image_uri_plugin_cls(): return ImageURIPlugin - - -def get_protocols_provider(): - from ray._private.runtime_env.protocol import ProtocolsProvider - - return ProtocolsProvider diff --git a/python/ray/_private/runtime_env/protocol.py b/python/ray/_private/runtime_env/protocol.py index 9d9887b409a5..d5db021f75c8 100644 --- a/python/ray/_private/runtime_env/protocol.py +++ b/python/ray/_private/runtime_env/protocol.py @@ -1,8 +1,6 @@ import enum import os -from ray._private.runtime_env.default_impl import get_protocols_provider - class ProtocolsProvider: _MISSING_DEPENDENCIES_WARNING = ( @@ -210,11 +208,9 @@ def open_file(uri, mode, *, transport_params=None): fout.write(fin.read()) -_protocols_provider = get_protocols_provider() - Protocol = enum.Enum( "Protocol", - {protocol.upper(): protocol for protocol in _protocols_provider.get_protocols()}, + {protocol.upper(): protocol for protocol in ProtocolsProvider.get_protocols()}, ) @@ -223,7 +219,7 @@ def _remote_protocols(cls): # Returns a list of protocols that support remote storage # These protocols should only be used with paths that end in ".zip" or ".whl" return [ - cls[protocol.upper()] for protocol in _protocols_provider.get_remote_protocols() + cls[protocol.upper()] for protocol in ProtocolsProvider.get_remote_protocols() ] @@ -231,7 +227,7 @@ def _remote_protocols(cls): def _download_remote_uri(self, source_uri, dest_file): - return _protocols_provider.download_remote_uri(self.value, source_uri, dest_file) + return ProtocolsProvider.download_remote_uri(self.value, source_uri, dest_file) Protocol.download_remote_uri = _download_remote_uri From acbcb832e149be27cb28107cb79c1840faa6002f Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Fri, 5 Sep 2025 21:34:12 +0530 Subject: [PATCH 1053/1566] Enable ruff lint for `workers/`, `workflow/`, `setup-dev.py`, and `cloudpickle/` (#56081) Signed-off-by: Gagandeep Singh Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 2 +- pyproject.toml | 5 ----- python/ray/setup-dev.py | 3 ++- 3 files changed, 3 insertions(+), 7 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 189a39b5d48e..89ba195ebe62 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,7 +44,7 @@ repos: args: [ --fix, --exit-non-zero-on-fix ] - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] - files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/|^python/ray/tests/' + files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/|^python/ray/tests/|^python/ray/setup-dev.py|^python/ray/cloudpickle/|^python/ray/workers/|^python/ray/workflow/' - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" diff --git a/pyproject.toml b/pyproject.toml index 63ab2c1660d6..5711be013c27 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,18 +58,13 @@ afterray = ["psutil", "setproctitle"] # python/ray/cloudpickle/* # doc/* # python/ray/__init__.py -# python/ray/setup-dev.py # For the rest we will gradually remove them from the blacklist as we # reformat the code to follow the style guide. [tool.ruff.lint.per-file-ignores] "doc/*" = ["I"] "python/ray/__init__.py" = ["I"] -"python/ray/setup-dev.py" = ["I"] -"python/ray/cloudpickle/*" = ["I"] "python/ray/dag/__init__.py" = ["I"] "python/ray/util/*" = ["I"] -"python/ray/workers/*" = ["I"] -"python/ray/workflow/*" = ["I"] "rllib/*" = ["I"] "release/*" = ["I"] diff --git a/python/ray/setup-dev.py b/python/ray/setup-dev.py index 372ee95912ef..8f65e4e716ff 100755 --- a/python/ray/setup-dev.py +++ b/python/ray/setup-dev.py @@ -16,10 +16,11 @@ sys.path.append(this_dir) import argparse -import click import shutil import subprocess +import click + import ray From e6a5e276778117a9bf97476d6e699c0549de5bb3 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 00:20:24 +0800 Subject: [PATCH 1054/1566] [CORE][DOC] Fix documentation typos, grammar, and formatting issues in ray-core directories (#56275) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/actors/async_api.rst | 6 +++--- doc/source/ray-core/actors/concurrency_group_api.rst | 9 +++++---- doc/source/ray-core/actors/named-actors.rst | 4 ++-- doc/source/ray-core/actors/out-of-band-communication.rst | 4 ++-- doc/source/ray-core/actors/terminating-actors.rst | 8 ++++---- doc/source/ray-core/compiled-graph/profiling.rst | 2 +- .../ray-core/compiled-graph/ray-compiled-graph.rst | 2 +- 7 files changed, 18 insertions(+), 17 deletions(-) diff --git a/doc/source/ray-core/actors/async_api.rst b/doc/source/ray-core/actors/async_api.rst index 7a64a774c85a..50427459d433 100644 --- a/doc/source/ray-core/actors/async_api.rst +++ b/doc/source/ray-core/actors/async_api.rst @@ -22,7 +22,7 @@ AsyncIO for Actors Since Python 3.5, it is possible to write concurrent code using the ``async/await`` `syntax `__. -Ray natively integrates with asyncio. You can use ray alongside with popular +Ray natively integrates with asyncio. You can use Ray alongside popular async frameworks like aiohttp, aioredis, etc. .. testcode:: @@ -217,7 +217,7 @@ Please note that running blocking ``ray.get`` or ``ray.wait`` inside async actor method is not allowed, because ``ray.get`` will block the execution of the event loop. -In async actors, only one task can be running at any point in time (though tasks can be multi-plexed). There will be only one thread in AsyncActor! See :ref:`threaded-actors` if you want a threadpool. +In async actors, only one task can be running at any point in time (though tasks can be multiplexed). There will be only one thread in AsyncActor! See :ref:`threaded-actors` if you want a threadpool. Setting concurrency in Async Actors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -284,7 +284,7 @@ Sometimes, asyncio is not an ideal solution for your actor. For example, you may have one method that performs some computation heavy task while blocking the event loop, not giving up control via ``await``. This would hurt the performance of an Async Actor because Async Actors can only execute 1 task at a time and rely on ``await`` to context switch. -Instead, you can use the ``max_concurrency`` Actor options without any async methods, allowng you to achieve threaded concurrency (like a thread pool). +Instead, you can use the ``max_concurrency`` Actor options without any async methods, allowing you to achieve threaded concurrency (like a thread pool). .. warning:: diff --git a/doc/source/ray-core/actors/concurrency_group_api.rst b/doc/source/ray-core/actors/concurrency_group_api.rst index 326f3b957bbc..29e9e6d788b7 100644 --- a/doc/source/ray-core/actors/concurrency_group_api.rst +++ b/doc/source/ray-core/actors/concurrency_group_api.rst @@ -1,7 +1,7 @@ Limiting Concurrency Per-Method with Concurrency Groups ======================================================= -Besides setting the max concurrency overall for an actor, Ray allows methods to be separated into *concurrency groups*, each with its own threads(s). This allows you to limit the concurrency per-method, e.g., allow a health-check method to be given its own concurrency quota separate from request serving methods. +Besides setting the max concurrency overall for an actor, Ray allows methods to be separated into *concurrency groups*, each with its own thread(s). This allows you to limit the concurrency per-method, e.g., allow a health-check method to be given its own concurrency quota separate from request serving methods. .. tip:: Concurrency groups work with both asyncio and threaded actors. The syntax is the same. @@ -14,7 +14,7 @@ This defines two concurrency groups, "io" with max concurrency = 2 and "compute" with max concurrency = 4. The methods ``f1`` and ``f2`` are placed in the "io" group, and the methods ``f3`` and ``f4`` are placed into the "compute" group. Note that there is always a default -concurrency group for actors, which has a default concurrency of 1000 +concurrency group for actors, which has a default concurrency of 1000 for AsyncIO actors and 1 otherwise. .. tab-set:: @@ -143,10 +143,11 @@ The concurrency of the default group can be changed by setting the ``max_concurr .. code-block:: java - class ConcurrentActor: + class ConcurrentActor { public long f1() { return Thread.currentThread().getId(); } + } ConcurrencyGroup group = new ConcurrencyGroupBuilder() @@ -156,7 +157,7 @@ The concurrency of the default group can be changed by setting the ``max_concurr .build(); ActorHandle myActor = Ray.actor(ConcurrentActor::new) - .setConcurrencyGroups(group1) + .setConcurrencyGroups(group) .setMaxConcurrency(10) .remote(); diff --git a/doc/source/ray-core/actors/named-actors.rst b/doc/source/ray-core/actors/named-actors.rst index 81ec48230010..980a2053c46f 100644 --- a/doc/source/ray-core/actors/named-actors.rst +++ b/doc/source/ray-core/actors/named-actors.rst @@ -52,7 +52,7 @@ exist. See :ref:`actor-lifetimes` for more details. // Retrieve the actor later somewhere boost::optional> counter = ray::GetGlobalActor("some_name"); - We also support non-global named actors in C++, which means that the actor name is only valid within the job and the actor cannot be accessed from another job + We also support non-global named actors in C++, which means that the actor name is only valid within the job and the actor cannot be accessed from another job. .. code-block:: c++ @@ -80,7 +80,7 @@ exist. See :ref:`actor-lifetimes` for more details. @ray.remote class Actor: - pass + pass # driver_1.py # Job 1 creates an actor, "orange" in the "colors" namespace. diff --git a/doc/source/ray-core/actors/out-of-band-communication.rst b/doc/source/ray-core/actors/out-of-band-communication.rst index 063b9a26f69d..ba6719046ecc 100644 --- a/doc/source/ray-core/actors/out-of-band-communication.rst +++ b/doc/source/ray-core/actors/out-of-band-communication.rst @@ -19,8 +19,8 @@ See :ref:`Ray Collective ` for more details. HTTP Server ----------- -You can start a http server inside the actor and expose http endpoints to clients -so users outside of the ray cluster can communicate with the actor. +You can start an HTTP server inside the actor and expose HTTP endpoints to clients +so users outside of the Ray cluster can communicate with the actor. .. tab-set:: diff --git a/doc/source/ray-core/actors/terminating-actors.rst b/doc/source/ray-core/actors/terminating-actors.rst index 3ac8dc22eefb..2422ffa88068 100644 --- a/doc/source/ray-core/actors/terminating-actors.rst +++ b/doc/source/ray-core/actors/terminating-actors.rst @@ -64,7 +64,7 @@ Ray to :ref:`automatically restart ` the actor, make sur flag ``no_restart=False`` to ``ray.kill``. For :ref:`named and detached actors `, calling ``ray.kill`` on -an actor handle destroys the actor and allow the name to be reused. +an actor handle destroys the actor and allows the name to be reused. Use `ray list actors --detail` from :ref:`State API ` to see the death cause of dead actors: @@ -133,7 +133,7 @@ This will kill the actor process and release resources associated/assigned to th Ray.exitActor(); - Garbage collection for actors haven't been implemented yet, so this is currently the + Garbage collection for actors hasn't been implemented yet, so this is currently the only way to terminate an actor gracefully. The ``ObjectRef`` resulting from the task can be waited on to wait for the actor to exit (calling ``ObjectRef::get`` on it will throw a ``RayActorException``). @@ -144,7 +144,7 @@ This will kill the actor process and release resources associated/assigned to th ray::ExitActor(); - Garbage collection for actors haven't been implemented yet, so this is currently the + Garbage collection for actors hasn't been implemented yet, so this is currently the only way to terminate an actor gracefully. The ``ObjectRef`` resulting from the task can be waited on to wait for the actor to exit (calling ``ObjectRef::Get`` on it will throw a ``RayActorException``). @@ -178,7 +178,7 @@ You could see the actor is dead as a result of the user's `exit_actor()` call: actor_died_error_context: error_message: 'The actor is dead because its worker process has died. Worker exit type: INTENDED_USER_EXIT Worker exit detail: Worker exits - by an user request. exit_actor() is called.' + by a user request. exit_actor() is called.' owner_id: 02000000ffffffffffffffffffffffffffffffffffffffffffffffff owner_ip_address: 127.0.0.1 node_ip_address: 127.0.0.1 diff --git a/doc/source/ray-core/compiled-graph/profiling.rst b/doc/source/ray-core/compiled-graph/profiling.rst index 8c3ac5d4bfb8..ddfae1313541 100644 --- a/doc/source/ray-core/compiled-graph/profiling.rst +++ b/doc/source/ray-core/compiled-graph/profiling.rst @@ -2,7 +2,7 @@ Profiling ========= Ray Compiled Graph provides both PyTorch-based and Nsight-based profiling functionalities to better understand the performance -of individual tasks, systems overhead, and performance bottlenecks. You can pick your favorite profiler based on your preference. +of individual tasks, system overhead, and performance bottlenecks. You can pick your favorite profiler based on your preference. PyTorch profiler ---------------- diff --git a/doc/source/ray-core/compiled-graph/ray-compiled-graph.rst b/doc/source/ray-core/compiled-graph/ray-compiled-graph.rst index 88cbd6bb4b11..b40956af2e94 100644 --- a/doc/source/ray-core/compiled-graph/ray-compiled-graph.rst +++ b/doc/source/ray-core/compiled-graph/ray-compiled-graph.rst @@ -12,7 +12,7 @@ As large language models (LLMs) become common, programming distributed systems w :ref:`Ray Core APIs ` facilitate using multiple GPUs but have limitations such as: * System overhead of ~1 ms per task launch, which is unsuitable for high-performance tasks like LLM inference. -* Lack support for direct GPU-to-GPU communication, requiring manual development with external libraries like NVIDIA Collective Communications Library (`NCCL `_). +* Lack of support for direct GPU-to-GPU communication, requiring manual development with external libraries like NVIDIA Collective Communications Library (`NCCL `_). Ray Compiled Graph gives you a Ray Core-like API but with: From 7185395d798f0e03c48e162a0be764bf45b1e10b Mon Sep 17 00:00:00 2001 From: Rueian Date: Fri, 5 Sep 2025 09:48:29 -0700 Subject: [PATCH 1055/1566] [core][autoscaler] Reword `Total Demands` and `Total Constraints` to `Pending Demands` and `From request_resources` (#55787) Signed-off-by: Rueian Signed-off-by: Rueian Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../user-guides/configuring-autoscaling.md | 2 +- python/ray/autoscaler/_private/util.py | 6 ++-- python/ray/autoscaler/v2/tests/test_utils.py | 4 +-- python/ray/autoscaler/v2/utils.py | 6 ++-- python/ray/tests/test_autoscaler_e2e.py | 9 ++++-- .../test_cli_patterns/test_ray_status.txt | 6 ++-- .../test_ray_status_multinode.txt | 6 ++-- .../test_ray_status_multinode_v1.txt | 6 ++-- .../test_cli_patterns/test_ray_status_v1.txt | 6 ++-- .../tests/test_resource_demand_scheduler.py | 32 +++++++++---------- 10 files changed, 43 insertions(+), 40 deletions(-) diff --git a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md index 1586124868a9..b24b891c7b45 100644 --- a/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md +++ b/doc/source/cluster/kubernetes/user-guides/configuring-autoscaling.md @@ -431,7 +431,7 @@ Total Usage: 0B/72.63GiB memory 0B/33.53GiB object_store_memory -Total Demands: +Pending Demands: (no resource demands) Node: 40f427230584b2d9c9f113d8db51d10eaf914aa9bf61f81dc7fabc64 diff --git a/python/ray/autoscaler/_private/util.py b/python/ray/autoscaler/_private/util.py index 66a7e5a8b900..de5b9f506c3e 100644 --- a/python/ray/autoscaler/_private/util.py +++ b/python/ray/autoscaler/_private/util.py @@ -756,7 +756,7 @@ def get_constraint_report(request_demand: List[DictCount]): if len(constraint_lines) > 0: constraints_report = "\n".join(constraint_lines) else: - constraints_report = " (no request_resources() constraints)" + constraints_report = " (none)" return constraints_report @@ -948,9 +948,9 @@ def format_info_string( {separator} Total Usage: {usage_report} -Total Constraints: +From request_resources: {constraints_report} -Total Demands: +Pending Demands: {demand_report}""" if verbose: diff --git a/python/ray/autoscaler/v2/tests/test_utils.py b/python/ray/autoscaler/v2/tests/test_utils.py index 1322c5ee3b0d..2bec1c29e4e4 100644 --- a/python/ray/autoscaler/v2/tests/test_utils.py +++ b/python/ray/autoscaler/v2/tests/test_utils.py @@ -567,9 +567,9 @@ def test_cluster_status_formatter(): 0.0/4.0 GPU 5.42KiB/10.04KiB object_store_memory -Total Constraints: +From request_resources: {'GPU': 2, 'CPU': 100}: 2 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1, 'GPU': 1}: 11+ pending tasks/actors {'CPU': 1, 'GPU': 1} * 1 (STRICT_SPREAD): 1+ pending placement groups {'GPU': 2} * 1 (STRICT_PACK): 2+ pending placement groups diff --git a/python/ray/autoscaler/v2/utils.py b/python/ray/autoscaler/v2/utils.py index d3128e961c63..8cf3dd13fc94 100644 --- a/python/ray/autoscaler/v2/utils.py +++ b/python/ray/autoscaler/v2/utils.py @@ -400,9 +400,9 @@ def format(cls, data: ClusterStatus, verbose: bool = False) -> str: separator, "Total Usage:", cluster_usage_report, - "Total Constraints:", + "From request_resources:", constraints_report, - "Total Demands:", + "Pending Demands:", demand_report, node_usage_report, ] @@ -631,7 +631,7 @@ def _constraint_report( constraint_lines.append(f" {bundle}: {count} from request_resources()") if constraint_lines: return "\n".join(constraint_lines) - return " (no request_resources() constraints)" + return " (none)" @staticmethod def _demand_report(data: ClusterStatus) -> str: diff --git a/python/ray/tests/test_autoscaler_e2e.py b/python/ray/tests/test_autoscaler_e2e.py index f3ea5dec3195..5585413e86b9 100644 --- a/python/ray/tests/test_autoscaler_e2e.py +++ b/python/ray/tests/test_autoscaler_e2e.py @@ -124,12 +124,15 @@ def ping(self): actor = Actor.remote() ray.get(actor.ping.remote()) - assert "Total Demands" in subprocess.check_output("ray status", shell=True).decode() assert ( - "Total Demands" in subprocess.check_output("ray status -v", shell=True).decode() + "Pending Demands" in subprocess.check_output("ray status", shell=True).decode() ) assert ( - "Total Demands" + "Pending Demands" + in subprocess.check_output("ray status -v", shell=True).decode() + ) + assert ( + "Pending Demands" in subprocess.check_output("ray status --verbose", shell=True).decode() ) diff --git a/python/ray/tests/test_cli_patterns/test_ray_status.txt b/python/ray/tests/test_cli_patterns/test_ray_status.txt index 5cdf2e0a220a..998eacc9c3f4 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_status.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_status.txt @@ -17,7 +17,7 @@ Total Usage: 0.+ 0.+ -Total Constraints: - \(no request_resources\(\) constraints\) -Total Demands: +From request_resources: + \(none\) +Pending Demands: \(no resource demands\) diff --git a/python/ray/tests/test_cli_patterns/test_ray_status_multinode.txt b/python/ray/tests/test_cli_patterns/test_ray_status_multinode.txt index c86f8cf00c89..b0ada8cd82c3 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_status_multinode.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_status_multinode.txt @@ -20,7 +20,7 @@ Total Usage: 0.+ 0.+ -Total Constraints: - \(no request_resources\(\) constraints\) -Total Demands: +From request_resources: + \(none\) +Pending Demands: \(no resource demands\) diff --git a/python/ray/tests/test_cli_patterns/test_ray_status_multinode_v1.txt b/python/ray/tests/test_cli_patterns/test_ray_status_multinode_v1.txt index cd228fbc591d..537cab7f8abc 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_status_multinode_v1.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_status_multinode_v1.txt @@ -18,7 +18,7 @@ Total Usage: 0.+ 0.+ -Total Constraints: - \(no request_resources\(\) constraints\) -Total Demands: +From request_resources: + \(none\) +Pending Demands: \(no resource demands\) diff --git a/python/ray/tests/test_cli_patterns/test_ray_status_v1.txt b/python/ray/tests/test_cli_patterns/test_ray_status_v1.txt index ec5125f5eb0e..8eac046f8444 100644 --- a/python/ray/tests/test_cli_patterns/test_ray_status_v1.txt +++ b/python/ray/tests/test_cli_patterns/test_ray_status_v1.txt @@ -15,7 +15,7 @@ Total Usage: 0.+ 0.+ -Total Constraints: - \(no request_resources\(\) constraints\) -Total Demands: +From request_resources: + \(none\) +Pending Demands: \(no resource demands\) diff --git a/python/ray/tests/test_resource_demand_scheduler.py b/python/ray/tests/test_resource_demand_scheduler.py index 2dbd2e459a14..2c8d921bf0a2 100644 --- a/python/ray/tests/test_resource_demand_scheduler.py +++ b/python/ray/tests/test_resource_demand_scheduler.py @@ -3284,9 +3284,9 @@ def test_info_string(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups """.strip() @@ -3341,10 +3341,10 @@ def test_info_string_multiple_constraints(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() {'CPU': 1, 'GPU': 16}: 10 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups """.strip() @@ -3433,9 +3433,9 @@ def test_info_string_verbose(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups @@ -3548,9 +3548,9 @@ def test_info_string_verbose_node_types(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups @@ -3640,9 +3640,9 @@ def test_info_string_verbose_no_breakdown(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups """.strip() @@ -3735,9 +3735,9 @@ def test_info_string_with_launch_failures(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups """.strip() @@ -3828,9 +3828,9 @@ def test_info_string_with_launch_failures_verbose(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 1}: 150+ pending tasks/actors {'CPU': 4} * 5 (PACK): 420+ pending placement groups """.strip() @@ -3917,9 +3917,9 @@ def test_info_string_failed_node_cap(): 2.00GiB/8.00GiB memory 3.14GiB/16.00GiB object_store_memory -Total Constraints: +From request_resources: {'CPU': 16}: 100 from request_resources() -Total Demands: +Pending Demands: {'CPU': 2.0}: 153+ pending tasks/actors (3+ using placement groups) {'GPU': 0.5}: 100+ pending tasks/actors (100+ using placement groups) {'CPU': 4} * 5 (PACK): 420+ pending placement groups From eba1a2b79ce5a7ae1813218660dd8f849c62e21b Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Fri, 5 Sep 2025 09:54:10 -0700 Subject: [PATCH 1056/1566] [data] Adding in updated code to from uris release test (#56091) ## Why are these changes needed? Update the from uris release test to use the new code from https://github.com/ray-project/ray/pull/55824. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- .../logical/operators/map_operator.py | 10 ++++- .../dataset/read_from_uris_benchmark.py | 42 +++++++++++-------- 2 files changed, 33 insertions(+), 19 deletions(-) diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index 8afee463aef1..c6597ae084a2 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -372,7 +372,15 @@ def __init__( output_bytes_column_name: str, ray_remote_args: Optional[Dict[str, Any]] = None, ): - super().__init__("Download", input_op, ray_remote_args=ray_remote_args) + from ray.data._internal.compute import ActorPoolStrategy + + # Download operation uses CallableClass (PartitionActor) so needs ActorPoolStrategy + super().__init__( + "Download", + input_op, + ray_remote_args=ray_remote_args, + compute=ActorPoolStrategy(size=1), + ) self._uri_column_name = uri_column_name self._output_bytes_column_name = output_bytes_column_name diff --git a/release/nightly_tests/dataset/read_from_uris_benchmark.py b/release/nightly_tests/dataset/read_from_uris_benchmark.py index e1da9cb52142..eed591aaf502 100644 --- a/release/nightly_tests/dataset/read_from_uris_benchmark.py +++ b/release/nightly_tests/dataset/read_from_uris_benchmark.py @@ -1,11 +1,12 @@ import io -import boto3 import numpy as np +import pyarrow as pa +import pyarrow.compute as pc from PIL import Image import ray -from ray.data import ActorPoolStrategy +from ray.data.expressions import download from benchmark import Benchmark BUCKET = "anyscale-imagenet" @@ -21,22 +22,27 @@ def main(): def benchmark_fn(): metadata = ray.data.read_parquet(METADATA_PATH) - # Assuming there are 80 CPUs and 4 in-flight tasks per actor, we need at least 320 - # partitions to utilize all CPUs. - # TODO: This is a temporary workaround. We need to improve the default partitioning. - metadata = metadata.repartition(320) - - class LoadImage: - def __init__(self): - self._client = boto3.client("s3") - - def __call__(self, row): - data = io.BytesIO() - self._client.download_fileobj(BUCKET, row["key"], data) - image = Image.open(data).convert("RGB") - return {"image": np.array(image)} - - ds = metadata.map(LoadImage, compute=ActorPoolStrategy(min_size=1)) + + def decode_images(batch): + images = [] + for b in batch["image_bytes"]: + image = Image.open(io.BytesIO(b)).convert("RGB") + images.append(np.array(image)) + del batch["image_bytes"] + batch["image"] = np.array(images, dtype=object) + return batch + + def convert_key(table): + col = table["key"] + t = col.type + new_col = pc.binary_join_element_wise( + pa.scalar("s3://" + BUCKET, type=t), col, pa.scalar("/", type=t) + ) + return table.set_column(table.schema.get_field_index("key"), "key", new_col) + + ds = metadata.map_batches(convert_key, batch_format="pyarrow") + ds = ds.with_column("image_bytes", download("key")) + ds = ds.map_batches(decode_images) for _ in ds.iter_internal_ref_bundles(): pass From bd49bbfc85f0f7947219519ba92d8ce71abc89cf Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Fri, 5 Sep 2025 22:32:03 +0530 Subject: [PATCH 1057/1566] add tests and DLQ business logic (#55608) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ### Summary This pull request introduces Dead-Letter Queue (DLQ) functionality for async inference. Users can configure two DLQs: 1. `failed_task_queue` – for tasks that fail during normal execution. 2. `unprocessable_task_queue` – for tasks that cannot be processed (e.g., deserialization failures or missing handlers). All unprocessable tasks will automatically be routed to the unprocessable_task_queue, while other failures will go to the failed_task_queue. The detailed behavior is defined in the [RFC document](https://docs.google.com/document/d/1Ix7uKrP3Q5LCjJ5wZG47ncUi5ScbYzyrtFXsYSlGnwg/edit?tab=t.0). ### Changes in this PR 1. Integrated Celery signals (task_failure, task_unknown) to handle task failures. 2. Added helper functions for moving tasks into the correct DLQ. 3. Introduced tests to verify DLQ routing logic across different failure scenarios. 4. Added a persistence test to ensure tasks are retried at-least-once as per the [RFC’s NFR requirements](https://docs.google.com/document/d/1Ix7uKrP3Q5LCjJ5wZG47ncUi5ScbYzyrtFXsYSlGnwg/edit?tab=t.0#heading=h.4om3bw49w03x). ### Follow-up work (to be added in a separate PR) Additional tests will be added in the next PR to keep this one focused and manageable. These will cover: 1. Task processor metrics 2. Task processor health checks 3. Task cancellation (cancel_task) 4. Multiple task consumers in a single Serve application 5. Ensuring failed tasks are retried exactly max_retry + 1 times --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/task_consumer.py | 4 +- python/ray/serve/task_processor.py | 203 ++++++++++-- python/ray/serve/tests/BUILD | 2 +- python/ray/serve/tests/test_task_processor.py | 288 +++++++++++++++++- .../serve/tests/unit/test_task_consumer.py | 2 +- 5 files changed, 471 insertions(+), 28 deletions(-) diff --git a/python/ray/serve/task_consumer.py b/python/ray/serve/task_consumer.py index 8210bc69ab31..da1266969980 100644 --- a/python/ray/serve/task_consumer.py +++ b/python/ray/serve/task_consumer.py @@ -71,7 +71,7 @@ def instantiate_adapter_from_config( ) try: - adapter_instance.initialize(config=task_processor_config) + adapter_instance.initialize() except Exception as e: raise RuntimeError(f"Failed to initialize {adapter_class.__name__}: {e}") @@ -158,7 +158,7 @@ def task_handler( Arguments: _func: The function to decorate. - name: The name of the task. + name: The name of the task. Default is the method name. Returns: A wrapper function that is marked as a task handler. diff --git a/python/ray/serve/task_processor.py b/python/ray/serve/task_processor.py index ed7435b75981..4d1d21ba6db6 100644 --- a/python/ray/serve/task_processor.py +++ b/python/ray/serve/task_processor.py @@ -1,3 +1,4 @@ +import json import logging import threading import time @@ -6,7 +7,9 @@ from typing import Any, Callable, Dict, List, Optional, Set from celery import Celery +from celery.signals import task_failure, task_unknown +from ray.serve import get_replica_context from ray.serve._private.constants import SERVE_LOGGER_NAME from ray.serve.schema import ( CeleryAdapterConfig, @@ -35,6 +38,18 @@ class AsyncCapability(Enum): HEALTH_CHECK = auto() # Ability to perform health checks asynchronously +def _json_dump(obj: Any) -> Any: + """Recursively make an object JSON serializable.""" + if isinstance(obj, dict): + return {k: _json_dump(v) for k, v in obj.items()} + if isinstance(obj, list): + return [_json_dump(i) for i in obj] + try: + return json.dumps(obj) + except (TypeError, ValueError): + return str(obj) + + @PublicAPI(stability="alpha") class TaskProcessorAdapter(ABC): """ @@ -88,12 +103,9 @@ def supports_any_async(self) -> bool: return len(self._async_capabilities) > 0 @abstractmethod - def initialize(self, config: TaskProcessorConfig): + def initialize(self): """ - Initialize the task processor with the given configuration. - - Args: - config: TaskProcessorConfig containing adapter-specific configuration, queue names, retry settings, and other options. + Initialize the task processor. """ pass @@ -322,6 +334,7 @@ class CeleryTaskProcessorAdapter(TaskProcessorAdapter): _app: Celery _config: TaskProcessorConfig _worker_thread: Optional[threading.Thread] = None + _worker_hostname: Optional[str] = None def __init__(self, config: TaskProcessorConfig): super().__init__() @@ -336,33 +349,69 @@ def __init__(self, config: TaskProcessorConfig): # Celery adapter does not support any async capabilities # self._async_capabilities is already an empty set from parent class - def initialize(self, config: TaskProcessorConfig): + def initialize(self): self._app = Celery( - config.queue_name, - backend=config.adapter_config.backend_url, - broker=config.adapter_config.broker_url, + self._config.queue_name, + backend=self._config.adapter_config.backend_url, + broker=self._config.adapter_config.broker_url, ) self._app.conf.update( loglevel="info", worker_pool="threads", - worker_concurrency=config.adapter_config.worker_concurrency, - max_retries=config.max_retries, - task_default_queue=config.queue_name, + worker_concurrency=self._config.adapter_config.worker_concurrency, + max_retries=self._config.max_retries, + task_default_queue=self._config.queue_name, # Store task results so they can be retrieved after completion task_ignore_result=False, # Acknowledge tasks only after completion (not when received) for better reliability task_acks_late=True, # Reject and requeue tasks when worker is lost to prevent data loss - reject_on_worker_lost=True, + task_reject_on_worker_lost=True, + # Only prefetch 1 task at a time to match concurrency and prevent task hoarding + worker_prefetch_multiplier=1, + ) + + queue_config = { + self._config.queue_name: { + "exchange": self._config.queue_name, + "exchange_type": "direct", + "routing_key": self._config.queue_name, + }, + } + + if self._config.failed_task_queue_name: + queue_config[self._config.failed_task_queue_name] = { + "exchange": self._config.failed_task_queue_name, + "exchange_type": "direct", + "routing_key": self._config.failed_task_queue_name, + } + + if self._config.unprocessable_task_queue_name: + queue_config[self._config.unprocessable_task_queue_name] = { + "exchange": self._config.unprocessable_task_queue_name, + "exchange_type": "direct", + "routing_key": self._config.unprocessable_task_queue_name, + } + + self._app.conf.update( + task_queues=queue_config, + task_routes={ + # Default tasks go to main queue + "*": {"queue": self._config.queue_name}, + }, ) - if config.adapter_config.broker_transport_options is not None: + if self._config.adapter_config.broker_transport_options is not None: self._app.conf.update( - broker_transport_options=config.adapter_config.broker_transport_options, + broker_transport_options=self._config.adapter_config.broker_transport_options, ) - ### TODO(harshit|SERVE-987): add the failed_task_queue_name and unprocessable_task_queue_name business logic here + if self._config.failed_task_queue_name: + task_failure.connect(self._handle_task_failure) + + if self._config.unprocessable_task_queue_name: + task_unknown.connect(self._handle_unknown_task) def register_task_handle(self, func, name=None): task_options = { @@ -410,13 +459,25 @@ def start_consumer(self, **kwargs): logger.info("Celery worker thread is already running.") return + unique_id = get_replica_context().replica_tag + self._worker_hostname = f"{self._app.main}_{unique_id}" + + worker_args = [ + "worker", + f"--hostname={self._worker_hostname}", + "-Q", + self._config.queue_name, + ] + self._worker_thread = threading.Thread( target=self._app.worker_main, - args=(("worker", f"--hostname={self._app.main}"),), + args=(worker_args,), ) self._worker_thread.start() - logger.info(f"Celery worker thread started with hostname: {self._app.main}") + logger.info( + f"Celery worker thread started with hostname: {self._worker_hostname}" + ) def stop_consumer(self, timeout: float = 10.0): """Signals the Celery worker to shut down and waits for it to terminate.""" @@ -428,7 +489,7 @@ def stop_consumer(self, timeout: float = 10.0): # Use the worker's hostname for targeted shutdown self._app.control.broadcast( - "shutdown", destination=[f"celery@{self._app.main}"] + "shutdown", destination=[f"celery@{self._worker_hostname}"] ) self._worker_thread.join(timeout=timeout) @@ -440,7 +501,9 @@ def stop_consumer(self, timeout: float = 10.0): self._worker_thread = None def shutdown(self): + logger.info("Shutting down Celery worker...") self._app.control.shutdown() + logger.info("Celery worker shutdown complete...") def cancel_task_sync(self, task_id) -> bool: return self._app.AsyncResult(task_id).cancel() @@ -460,3 +523,105 @@ def health_check_sync(self) -> List[Dict]: More details can be found here: https://docs.celeryq.dev/en/stable/reference/celery.app.control.html#celery.app.control.Control.ping """ return self._app.control.ping() + + def _handle_task_failure( + self, + sender: Any = None, + task_id: str = None, + args: Any = None, + kwargs: Any = None, + einfo: Any = None, + **kw, + ): + """Handle task failures and route them to appropriate dead letter queues. + + This method is called when a task fails after all retry attempts have been + exhausted. It logs the failure and moves the task to failed_task_queue + + Args: + sender: The task object that failed + task_id: Unique identifier of the failed task + args: Positional arguments passed to the task + kwargs: Keyword arguments passed to the task + einfo: Exception info object containing exception details and traceback + **kw: Additional keyword arguments passed by Celery + """ + logger.info( + f"Task failure detected for task_id: {task_id}, args: {args}, kwargs: {kwargs}, einfo: {einfo}" + ) + + dlq_args = [ + task_id, + str(einfo.exception), + _json_dump(args), + _json_dump(kwargs), + str(einfo), + ] + + if self._config.failed_task_queue_name: + self._move_task_to_queue( + self._config.failed_task_queue_name, + sender.name, + dlq_args, + ) + + logger.error( + f"Task {task_id} failed after max retries. Exception: {einfo}. Moved it to the {self._config.failed_task_queue_name} queue." + ) + + def _handle_unknown_task( + self, + sender: Any = None, + name: str = None, + id: str = None, + message: Any = None, + exc: Any = None, + **kwargs, + ): + """Handle unknown or unregistered tasks received by Celery. + + This method is called when Celery receives a task that it doesn't recognize + (i.e., a task that hasn't been registered with the Celery app). These tasks + are moved to the unprocessable task queue if configured. + + Args: + sender: The Celery app or worker that detected the unknown task + name: Name of the unknown task + id: Task ID of the unknown task + message: The raw message received for the unknown task + exc: The exception raised when trying to process the unknown task + **kwargs: Additional context information from Celery + """ + logger.info( + f"Unknown task detected by Celery. Name: {name}, ID: {id}, Message: {message}" + ) + + if self._config.unprocessable_task_queue_name: + self._move_task_to_queue( + self._config.unprocessable_task_queue_name, + name, + [ + name, + id, + _json_dump(message), + str(exc), + _json_dump(kwargs), + ], + ) + + def _move_task_to_queue(self, queue_name: str, task_name: str, args: list): + """Helper function to move a task to a specified queue.""" + try: + logger.info( + f"Moving task: {task_name} to queue: {queue_name}, args: {args}" + ) + self._app.send_task( + name=task_name, + queue=queue_name, + args=args, + ) + except Exception as e: + logger.error( + f"Failed to move task: {task_name} to queue: {queue_name}, error: {e}" + ) + raise e diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD index 174d782d925d..653b75363a2c 100644 --- a/python/ray/serve/tests/BUILD +++ b/python/ray/serve/tests/BUILD @@ -47,7 +47,6 @@ py_test_module_list( "test_persistence.py", "test_proxy_actor_wrapper.py", "test_replica_request_context.py", - "test_task_processor.py", "test_util.py", "test_websockets.py", ], @@ -94,6 +93,7 @@ py_test_module_list( "test_request_timeout.py", "test_streaming_response.py", "test_target_capacity.py", + "test_task_processor.py", "test_telemetry.py", ], tags = [ diff --git a/python/ray/serve/tests/test_task_processor.py b/python/ray/serve/tests/test_task_processor.py index d31192d2d0b5..1dc662325d69 100644 --- a/python/ray/serve/tests/test_task_processor.py +++ b/python/ray/serve/tests/test_task_processor.py @@ -1,12 +1,14 @@ +import json import sys import tempfile +from collections import defaultdict from pathlib import Path import pytest import ray from ray import serve -from ray._common.test_utils import wait_for_condition +from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve.schema import CeleryAdapterConfig, TaskProcessorConfig from ray.serve.task_consumer import ( instantiate_adapter_from_config, @@ -16,11 +18,28 @@ @ray.remote -def send_request_to_queue(processor_config: TaskProcessorConfig, data): - adapter_instance = instantiate_adapter_from_config( +class ProcessedTasksTracker: + def __init__(self): + self.processed_tasks = set() + + def add_task(self, task_data): + self.processed_tasks.add(task_data) + + def get_processed_tasks(self): + return self.processed_tasks + + def get_count(self): + return len(self.processed_tasks) + + +@ray.remote +def send_request_to_queue( + processor_config: TaskProcessorConfig, data, task_name="process_request" +): + adapter_instance_global = instantiate_adapter_from_config( task_processor_config=processor_config ) - result = adapter_instance.enqueue_task_sync("process_request", args=[data]) + result = adapter_instance_global.enqueue_task_sync(task_name, args=[data]) assert result.id is not None return result.id @@ -71,7 +90,9 @@ def transport_options(temp_queue_directory): def create_processor_config(temp_queue_directory, transport_options): """Create a TaskProcessorConfig with common defaults.""" - def _create(**kwargs): + def _create( + failed_task_queue_name=None, unprocessable_task_queue_name=None, **kwargs + ): results_path = temp_queue_directory["results_path"] config_params = { @@ -80,8 +101,18 @@ def _create(**kwargs): broker_url="filesystem://", backend_url=f"file://{results_path}", broker_transport_options=transport_options, + worker_concurrency=1, ), } + + # Add dead letter queue names if provided + if failed_task_queue_name is not None: + config_params["failed_task_queue_name"] = failed_task_queue_name + if unprocessable_task_queue_name is not None: + config_params[ + "unprocessable_task_queue_name" + ] = unprocessable_task_queue_name + config_params.update(kwargs) return TaskProcessorConfig(**config_params) @@ -89,6 +120,33 @@ def _create(**kwargs): return _create +def _get_task_counts_by_routing_key(queue_path): + """Counts tasks in a queue directory by reading the routing key from each message.""" + counts = defaultdict(int) + if not queue_path.exists(): + return counts + + # Celery doesn't provide a way to get the queue size. + # so we've to levarage the broker's API to get the queue size. + # Since we are using the filesystem broker in tests, we can read the files in the queue directory to get the queue size. + for msg_file in queue_path.iterdir(): + if msg_file.is_file(): + try: + with open(msg_file, "r") as f: + data = json.load(f) + routing_key = ( + data.get("properties", {}) + .get("delivery_info", {}) + .get("routing_key") + ) + if routing_key: + counts[routing_key] += 1 + except (json.JSONDecodeError, IOError): + # Ignore files that aren't valid JSON or are otherwise unreadable + continue + return counts + + @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") class TestTaskConsumerWithRayServe: """Test task consumer integration with Ray Serve.""" @@ -177,6 +235,82 @@ def assert_result(): wait_for_condition(assert_result, timeout=10) + def test_task_consumer_persistence_across_restarts( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that tasks persist in queue and get executed after deployment restart.""" + # Setup + config = create_processor_config() + tracker = ProcessedTasksTracker.remote() + signal1 = SignalActor.remote() + + @serve.deployment(num_replicas=1, graceful_shutdown_timeout_s=60) + @task_consumer(task_processor_config=config) + class TaskConsumer: + def __init__(self, tracker_ref, signal_ref): + self.tracker, self.signal = tracker_ref, signal_ref + self.local_processed = [] + + @task_handler(name="process_request") + def process_request(self, data): + ray.get(self.signal.wait.remote()) # Block until signal + self.local_processed.append(data) + ray.get(self.tracker.add_task.remote(data)) + return f"Processed: {data}" + + def get_local_processed(self): + return self.local_processed + + # Deploy first version and send tasks + serve.run(TaskConsumer.bind(tracker, signal1), name="app_v1") + + num_tasks = 20 + for i in range(num_tasks): + ray.get(send_request_to_queue.remote(config, f"task_{i}")) + + # Process exactly 1 task, then restart deployment + wait_for_condition( + lambda: ray.get(signal1.cur_num_waiters.remote()) == 1, timeout=10 + ) + ray.get(signal1.send.remote(clear=True)) # Allow 1 task to complete + wait_for_condition(lambda: ray.get(tracker.get_count.remote()) == 1, timeout=10) + + # Shutdown first deployment + serve.delete("app_v1", _blocking=False) + ray.get(signal1.send.remote()) # Release any stuck tasks + wait_for_condition( + lambda: "app_v1" not in serve.status().applications, timeout=100 + ) + + tasks_before_restart = ray.get(tracker.get_count.remote()) + assert ( + tasks_before_restart >= 2 and tasks_before_restart < num_tasks + ), f"Expected at least 2 tasks processed and atleast one less than num_tasks, got {tasks_before_restart}" + + # Deploy second version and process remaining tasks + signal2 = SignalActor.remote() + handle = serve.run(TaskConsumer.bind(tracker, signal2), name="app_v2") + + wait_for_condition( + lambda: ray.get(signal2.cur_num_waiters.remote()) == 1, timeout=10 + ) + ray.get(signal2.send.remote()) # Process all remaining tasks + wait_for_condition( + lambda: ray.get(tracker.get_count.remote()) == num_tasks, timeout=100 + ) + + # Verify all tasks were processed and distributed correctly + expected_tasks = {f"task_{i}" for i in range(num_tasks)} + final_tasks = ray.get(tracker.get_processed_tasks.remote()) + second_deployment_tasks = handle.get_local_processed.remote().result() + + assert ( + final_tasks == expected_tasks + ), f"Missing tasks: {expected_tasks - final_tasks}" + assert ( + len(second_deployment_tasks) == num_tasks - tasks_before_restart + ), f"Second deployment processed {len(second_deployment_tasks)} tasks, expected {num_tasks - tasks_before_restart}" + def test_task_consumer_as_serve_deployment_with_async_task_handler( self, temp_queue_directory, serve_instance, create_processor_config ): @@ -203,5 +337,149 @@ async def process_request(self, data): self.data_received = data +@pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") +class TestTaskConsumerWithDLQsConfiguration: + """Test task consumer with dead letter queues.""" + + def _assert_queue_counts( + self, + temp_queue_directory, + processor_config, + expected_main=0, + expected_unprocessable=0, + expected_failed=0, + timeout=15, + ): + """Helper to assert expected task counts in different queues.""" + + def check_counts(): + queue_path = Path(temp_queue_directory["queue_path"]) + counts = _get_task_counts_by_routing_key(queue_path) + + main_count = counts.get(processor_config.queue_name, 0) + unprocessable_count = counts.get( + getattr(processor_config, "unprocessable_task_queue_name", ""), 0 + ) + failed_count = counts.get( + getattr(processor_config, "failed_task_queue_name", ""), 0 + ) + + return ( + main_count == expected_main + and unprocessable_count == expected_unprocessable + and failed_count == expected_failed + ) + + wait_for_condition(check_counts, timeout=timeout) + + def test_task_consumer_as_serve_deployment_with_unknown_task( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that unknown tasks are sent to the unprocessable task queue.""" + processor_config = create_processor_config( + unprocessable_task_queue_name="unprocessable_task_queue" + ) + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + @task_handler(name="process_request") + def process_request(self, data): + pass + + serve.run(ServeTaskConsumer.bind()) + + # Send a task with an unknown name + send_request_to_queue.remote( + processor_config, "test_data_1", task_name="unregistered_task" + ) + + self._assert_queue_counts( + temp_queue_directory, + processor_config, + expected_main=0, + expected_unprocessable=1, + timeout=10, + ) + + def test_task_consumer_as_serve_deployment_with_failed_task_and_dead_letter_queue( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that failed tasks are sent to the failed task queue.""" + processor_config = create_processor_config( + failed_task_queue_name="failed_task_queue" + ) + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + @task_handler(name="process_request") + def process_request(self, data): + raise ValueError("Task failed as expected") + + serve.run(ServeTaskConsumer.bind()) + send_request_to_queue.remote(processor_config, "test_data_1") + + self._assert_queue_counts( + temp_queue_directory, processor_config, expected_main=0, expected_failed=1 + ) + + def test_task_consumer_with_mismatched_arguments( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that tasks with mismatched arguments are sent to the unprocessable task queue.""" + processor_config = create_processor_config( + unprocessable_task_queue_name="unprocessable_task_queue", + failed_task_queue_name="failed_task_queue", + ) + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + @task_handler(name="process_request") + def process_request(self, arg1, arg2): # Expects two arguments + pass + + serve.run(ServeTaskConsumer.bind()) + + # Send a task with only one argument, which should cause a TypeError + send_request_to_queue.remote(processor_config, ["test_data_1"]) + + self._assert_queue_counts( + temp_queue_directory, + processor_config, + expected_main=0, + expected_failed=1, + ) + + def test_task_consumer_with_argument_type_mismatch( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that tasks with argument type mismatches are sent to the unprocessable task queue.""" + processor_config = create_processor_config( + unprocessable_task_queue_name="unprocessable_task_queue", + failed_task_queue_name="failed_task_queue", + ) + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + @task_handler(name="process_request") + def process_request(self, data: str): + return len(data) # This will fail if data is not a sequence + + serve.run(ServeTaskConsumer.bind()) + + # Send an integer, for which len() is undefined, causing a TypeError + send_request_to_queue.remote(processor_config, 12345) + + self._assert_queue_counts( + temp_queue_directory, + processor_config, + expected_main=0, + expected_failed=1, + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/unit/test_task_consumer.py b/python/ray/serve/tests/unit/test_task_consumer.py index 4fe3c547ed01..f7e6435a0254 100644 --- a/python/ray/serve/tests/unit/test_task_consumer.py +++ b/python/ray/serve/tests/unit/test_task_consumer.py @@ -21,7 +21,7 @@ def __init__(self, config: TaskProcessorConfig): self._config = config self.register_task_handle_mock = MagicMock() - def initialize(self, config: TaskProcessorConfig): + def initialize(self): pass def register_task_handle(self, func, name=None): From 5fc6d8166210a43abcb7d65d42a66351bc10e3bf Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Fri, 5 Sep 2025 10:12:35 -0700 Subject: [PATCH 1058/1566] [llm] Vllm bump -> 0.10.1.1 (#56099) image --------- Signed-off-by: Linkun Signed-off-by: Nikhil Ghosh Signed-off-by: dayshah Signed-off-by: Edward Oakes Signed-off-by: omkar Signed-off-by: Omkar Kulkarni Signed-off-by: Cuong Nguyen Signed-off-by: zac Signed-off-by: Kourosh Hakhamaneshi Co-authored-by: Linkun Co-authored-by: Dhyey Shah Co-authored-by: ahao-anyscale Co-authored-by: Edward Oakes Co-authored-by: Omkar Kulkarni Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Cindy Zhang Co-authored-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Zac Policzer Co-authored-by: Kourosh Hakhamaneshi Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/deplocks/llm/ray_py311_cpu.lock | 214 ++++++----- python/deplocks/llm/ray_py311_cu121.lock | 214 ++++++----- python/deplocks/llm/ray_py311_cu128.lock | 214 ++++++----- python/deplocks/llm/ray_test_py311_cpu.lock | 214 ++++++----- python/deplocks/llm/ray_test_py311_cu121.lock | 214 ++++++----- python/deplocks/llm/ray_test_py311_cu128.lock | 214 ++++++----- python/deplocks/llm/rayllm_py311_cpu.lock | 356 ++++++++++++------ python/deplocks/llm/rayllm_py311_cu121.lock | 356 ++++++++++++------ python/deplocks/llm/rayllm_py311_cu128.lock | 356 ++++++++++++------ .../deplocks/llm/rayllm_test_py311_cpu.lock | 352 +++++++++++------ .../deplocks/llm/rayllm_test_py311_cu121.lock | 352 +++++++++++------ .../deplocks/llm/rayllm_test_py311_cu128.lock | 352 +++++++++++------ .../batch/stages/vllm_engine_stage.py | 8 +- .../serve/configs/openai_api_models.py | 5 + .../serve/deployments/llm/vllm/vllm_engine.py | 13 +- .../serve/deployments/llm/vllm/vllm_models.py | 29 +- .../serve/deployments/routers/middleware.py | 10 +- .../serve/deployments/routers/router.py | 12 +- .../serve/deployments/utils/server_utils.py | 4 +- .../gpu/stages/test_vllm_engine_stage.py | 2 +- python/requirements/llm/llm-requirements.txt | 3 +- python/requirements_compiled.txt | 7 +- python/setup.py | 2 +- release/release_tests.yaml | 2 +- 24 files changed, 2142 insertions(+), 1363 deletions(-) diff --git a/python/deplocks/llm/ray_py311_cpu.lock b/python/deplocks/llm/ray_py311_cpu.lock index cd1fdcbbc79f..8cd0117266c0 100644 --- a/python/deplocks/llm/ray_py311_cpu.lock +++ b/python/deplocks/llm/ray_py311_cpu.lock @@ -1544,114 +1544,113 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # cffi -pydantic==2.10.0 \ - 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--hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # pydantic @@ -1991,6 +1990,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cpu.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/ray_py311_cu121.lock b/python/deplocks/llm/ray_py311_cu121.lock index 3417dd6ec83c..cdddd9e0dff0 100644 --- a/python/deplocks/llm/ray_py311_cu121.lock +++ b/python/deplocks/llm/ray_py311_cu121.lock @@ -1544,114 +1544,113 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - 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--hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic @@ -1991,6 +1990,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cu121.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/ray_py311_cu128.lock b/python/deplocks/llm/ray_py311_cu128.lock index 411cb5498708..5d6886ea1bf7 100644 --- a/python/deplocks/llm/ray_py311_cu128.lock +++ b/python/deplocks/llm/ray_py311_cu128.lock @@ -1508,114 +1508,113 @@ pycparser==2.21 ; platform_python_implementation != 'PyPy' \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt # fastapi -pydantic-core==2.27.0 \ - 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--hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # pydantic @@ -1954,6 +1953,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cu128.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index 4c7476294eaf..a8b64f17e94a 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -2403,114 +2403,113 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - 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--hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ - --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ - --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ - --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ - --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ - --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ - --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + 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--hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic @@ -3174,6 +3173,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index 92c04a8fb0ea..cf09d162e9a3 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -2403,114 +2403,113 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - 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--hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic @@ -3174,6 +3173,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index 04402a5fd426..f514c628272b 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -2403,114 +2403,113 @@ pycurl==7.45.3 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - 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--hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c /tmp/ray-deps/requirements_compiled.txt # pydantic @@ -3174,6 +3173,13 @@ typing-extensions==4.12.2 \ # pyopenssl # referencing # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c /tmp/ray-deps/requirements_compiled.txt + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 diff --git a/python/deplocks/llm/rayllm_py311_cpu.lock b/python/deplocks/llm/rayllm_py311_cpu.lock index fafc05f0902e..a11f2db1e997 100644 --- a/python/deplocks/llm/rayllm_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -995,7 +995,7 @@ hf-transfer==0.1.9 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.5 \ +hf-xet==1.1.5 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ @@ -1074,7 +1074,6 @@ huggingface-hub==0.34.3 \ # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # tokenizers # transformers - # vllm idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 @@ -1768,9 +1767,27 @@ numpy==1.26.4 \ # transformers # vllm # xformers -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock + # vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm @@ -2425,9 +2442,9 @@ pycparser==2.21 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt @@ -2436,110 +2453,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ - --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ - --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ - --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ - --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ - --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ - 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--hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # pydantic @@ -3122,6 +3139,107 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock + # vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3338,12 +3456,11 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -3391,7 +3508,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -3467,9 +3591,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt diff --git a/python/deplocks/llm/rayllm_py311_cu121.lock b/python/deplocks/llm/rayllm_py311_cu121.lock index 4f260cad18b3..76431a88ef1b 100644 --- a/python/deplocks/llm/rayllm_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -995,7 +995,7 @@ hf-transfer==0.1.9 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.5 \ +hf-xet==1.1.5 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ @@ -1074,7 +1074,6 @@ huggingface-hub==0.34.3 \ # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # tokenizers # transformers - # vllm idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 @@ -1884,9 +1883,27 @@ nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'li # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock + # vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm @@ -2541,9 +2558,9 @@ pycparser==2.21 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt @@ -2552,110 +2569,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - 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--hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ - --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ - --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ - --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ - --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ - --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ - --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ - --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ - --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ - --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ - --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a +pydantic-core==2.33.2 \ + 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--hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock + # vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3483,12 +3601,11 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -3526,7 +3643,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -3602,9 +3726,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt diff --git a/python/deplocks/llm/rayllm_py311_cu128.lock b/python/deplocks/llm/rayllm_py311_cu128.lock index 48efbd5be7dd..c0e933c02c02 100644 --- a/python/deplocks/llm/rayllm_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -995,7 +995,7 @@ hf-transfer==0.1.9 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.3 \ +hf-xet==1.1.3 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:30c575a5306f8e6fda37edb866762140a435037365eba7a17ce7bd0bc0216a8b \ --hash=sha256:7c1a6aa6abed1f696f8099aa9796ca04c9ee778a58728a115607de9cc4638ff1 \ --hash=sha256:8203f52827e3df65981984936654a5b390566336956f65765a8aa58c362bb841 \ @@ -1074,7 +1074,6 @@ huggingface-hub==0.34.3 \ # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # tokenizers # transformers - # vllm idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 @@ -1808,9 +1807,27 @@ nvidia-nvtx-cu12==12.8.55 ; platform_machine == 'x86_64' and sys_platform == 'li # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock + # vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm @@ -2465,9 +2482,9 @@ pycparser==2.21 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt @@ -2476,110 +2493,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ - --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ - --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ - --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ - --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ - --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ - --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ - --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ - --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ - 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--hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # pydantic @@ -3162,6 +3179,107 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock + # vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -3377,12 +3495,11 @@ tqdm==4.67.1 \ # openai # transformers # vllm -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -3419,7 +3536,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -3495,9 +3619,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index 04c9ddb2de7b..dc1ea6c32e2e 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -1374,7 +1374,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.5 \ +hf-xet==1.1.5 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ @@ -1452,7 +1452,6 @@ huggingface-hub==0.34.3 \ # via # tokenizers # transformers - # vllm humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea @@ -2506,9 +2505,25 @@ oauth2client==4.1.3 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -3260,9 +3275,9 @@ pycurl==7.45.3 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt @@ -3271,110 +3286,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ - --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ - --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ - --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ - --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ - --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ - --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ - --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ - --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ - --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ - --hash=sha256:68950bc08f9735306322bfc16a18391fcaac99ded2509e1cc41d03ccb6013cfe \ - --hash=sha256:68ef5377eb582fa4343c9d0b57a5b094046d447b4c73dd9fbd9ffb216f829e7d \ - --hash=sha256:6b4c19525c3538fbc0bbda6229f9682fb8199ce9ac37395880e6952798e00373 \ - --hash=sha256:6bb69bf3b6500f195c3deb69c1205ba8fc3cb21d1915f1f158a10d6b1ef29b6a \ - --hash=sha256:6e19401742ed7b69e51d8e4df3c03ad5ec65a83b36244479fd70edde2828a5d9 \ - --hash=sha256:6f4a53af9e81d757756508b57cae1cf28293f0f31b9fa2bfcb416cc7fb230f9d \ - --hash=sha256:6fda87808429c520a002a85d6e7cdadbf58231d60e96260976c5b8f9a12a8e13 \ - --hash=sha256:78f841523729e43e3928a364ec46e2e3f80e6625a4f62aca5c345f3f626c6e8a \ - --hash=sha256:7a6ebfac28fd51890a61df36ef202adbd77d00ee5aca4a3dadb3d9ed49cfb929 \ - --hash=sha256:7b0202ebf2268954090209a84f9897345719e46a57c5f2c9b7b250ca0a9d3e63 \ - --hash=sha256:8117839a9bdbba86e7f9df57018fe3b96cec934c3940b591b0fd3fbfb485864a \ - 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--hash=sha256:9a8fbf506fde1529a1e3698198fe64bfbe2e0c09557bc6a7dcf872e7c01fec40 \ - --hash=sha256:9ce048deb1e033e7a865ca384770bccc11d44179cf09e5193a535c4c2f497bdc \ - --hash=sha256:9fe94d9d2a2b4edd7a4b22adcd45814b1b59b03feb00e56deb2e89747aec7bfe \ - --hash=sha256:a291d0b4243a259c8ea7e2b84eb9ccb76370e569298875a7c5e3e71baf49057a \ - --hash=sha256:a5c022bb0d453192426221605efc865373dde43b17822a264671c53b068ac20c \ - --hash=sha256:abb4785894936d7682635726613c44578c420a096729f1978cd061a7e72d5275 \ - --hash=sha256:b872c86d8d71827235c7077461c502feb2db3f87d9d6d5a9daa64287d75e4fa0 \ - --hash=sha256:bf37b72834e7239cf84d4a0b2c050e7f9e48bced97bad9bdf98d26b8eb72e846 \ - --hash=sha256:c0c431e4be5c1a0c6654e0c31c661cd89e0ca956ef65305c3c3fd96f4e72ca39 \ - --hash=sha256:c5726eec789ee38f2c53b10b1821457b82274f81f4f746bb1e666d8741fcfadb \ - --hash=sha256:c6fcb3fa3855d583aa57b94cf146f7781d5d5bc06cb95cb3afece33d31aac39b \ - --hash=sha256:c86679f443e7085ea55a7376462553996c688395d18ef3f0d3dbad7838f857a2 \ - --hash=sha256:c91e3c04f5191fd3fb68764bddeaf02025492d5d9f23343b283870f6ace69708 \ - --hash=sha256:c921ad596ff1a82f9c692b0758c944355abc9f0de97a4c13ca60ffc6d8dc15d4 \ - --hash=sha256:c9ed88b398ba7e3bad7bd64d66cc01dcde9cfcb7ec629a6fd78a82fa0b559d78 \ - --hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ - --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ - --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ - --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ - --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ - --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ - --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ - --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ - --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ - --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ - --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ - --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ - --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ - --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ - --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ - --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ - --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ - --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ - --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + 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--hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -4405,11 +4519,10 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -4464,7 +4577,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cpu.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -4552,9 +4672,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index 18d46b031806..eabbdaefa580 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -1374,7 +1374,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.5 \ +hf-xet==1.1.5 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694 \ --hash=sha256:73e167d9807d166596b4b2f0b585c6d5bd84a26dea32843665a8b58f6edba245 \ --hash=sha256:83088ecea236d5113de478acb2339f92c95b4fb0462acaa30621fac02f5a534a \ @@ -1452,7 +1452,6 @@ huggingface-hub==0.34.3 \ # via # tokenizers # transformers - # vllm humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea @@ -2597,9 +2596,25 @@ oauth2client==4.1.3 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -3351,9 +3366,9 @@ pycurl==7.45.3 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt @@ -3362,110 +3377,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ - --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ - --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ - --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ - --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ - --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ - --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ - --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ - --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ - --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ - 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--hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # pydantic @@ -4131,6 +4146,105 @@ sentencepiece==0.2.0 \ # gguf # mistral-common # vllm +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -4525,11 +4639,10 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -4575,7 +4688,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cu121.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -4663,9 +4783,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index bea79b3cf3b6..713e00a75f78 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -1373,7 +1373,7 @@ hf-transfer==0.1.9 \ --hash=sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f \ --hash=sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d # via -r python/requirements/llm/llm-requirements.txt -hf-xet==1.1.3 \ +hf-xet==1.1.3 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ --hash=sha256:30c575a5306f8e6fda37edb866762140a435037365eba7a17ce7bd0bc0216a8b \ --hash=sha256:7c1a6aa6abed1f696f8099aa9796ca04c9ee778a58728a115607de9cc4638ff1 \ --hash=sha256:8203f52827e3df65981984936654a5b390566336956f65765a8aa58c362bb841 \ @@ -1451,7 +1451,6 @@ huggingface-hub==0.34.3 \ # via # tokenizers # transformers - # vllm humanize==4.12.1 \ --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea @@ -2520,9 +2519,25 @@ oauth2client==4.1.3 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt -openai==1.90.0 \ - --hash=sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b \ - --hash=sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02 +openai==1.100.2 \ + --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ + --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 + # via vllm +openai-harmony==0.0.4 \ + --hash=sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a \ + --hash=sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f \ + --hash=sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1 \ + --hash=sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2 \ + --hash=sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f \ + --hash=sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932 \ + --hash=sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7 \ + --hash=sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c \ + --hash=sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44 \ + --hash=sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d \ + --hash=sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340 \ + --hash=sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282 \ + --hash=sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e \ + --hash=sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54 # via vllm opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ @@ -3274,9 +3289,9 @@ pycurl==7.45.3 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt @@ -3285,110 +3300,110 @@ pydantic==2.10.0 \ # lm-format-enforcer # mistral-common # openai + # openai-harmony # pydantic-extra-types # vllm # xgrammar -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - --hash=sha256:4523c4009c3f39d948e01962223c9f5538602e7087a628479b723c939fab262d \ - --hash=sha256:483c2213a609e7db2c592bbc015da58b6c75af7360ca3c981f178110d9787bcf \ - --hash=sha256:49633583eb7dc5cba61aaf7cdb2e9e662323ad394e543ee77af265736bcd3eaa \ - --hash=sha256:4b51f964fcbb02949fc546022e56cdb16cda457af485e9a3e8b78ac2ecf5d77e \ - --hash=sha256:4bf1340ae507f6da6360b24179c2083857c8ca7644aab65807023cf35404ea8d \ - --hash=sha256:4fb49cfdb53af5041aba909be00cccfb2c0d0a2e09281bf542371c5fd36ad04c \ - --hash=sha256:510b11e9c3b1a852876d1ccd8d5903684336d635214148637ceb27366c75a467 \ - --hash=sha256:513cb14c0cc31a4dfd849a4674b20c46d87b364f997bbcb02282306f5e187abf \ - --hash=sha256:58560828ee0951bb125c6f2862fbc37f039996d19ceb6d8ff1905abf7da0bf3d \ - --hash=sha256:58ab0d979c969983cdb97374698d847a4acffb217d543e172838864636ef10d9 \ - --hash=sha256:5982048129f40b082c2654de10c0f37c67a14f5ff9d37cf35be028ae982f26df \ - --hash=sha256:5ab325fc86fbc077284c8d7f996d904d30e97904a87d6fb303dce6b3de7ebba9 \ - --hash=sha256:5cc822ab90a70ea3a91e6aed3afac570b276b1278c6909b1d384f745bd09c714 \ - --hash=sha256:5f2b19b8d6fca432cb3acf48cf5243a7bf512988029b6e6fd27e9e8c0a204d85 \ - --hash=sha256:5fc72fbfebbf42c0856a824b8b0dc2b5cd2e4a896050281a21cfa6fed8879cb1 \ - --hash=sha256:6354e18a9be37bfa124d6b288a87fb30c673745806c92956f1a25e3ae6e76b96 \ - --hash=sha256:678f66462058dd978702db17eb6a3633d634f7aa0deaea61e0a674152766d3fc \ - --hash=sha256:68950bc08f9735306322bfc16a18391fcaac99ded2509e1cc41d03ccb6013cfe \ - --hash=sha256:68ef5377eb582fa4343c9d0b57a5b094046d447b4c73dd9fbd9ffb216f829e7d \ - --hash=sha256:6b4c19525c3538fbc0bbda6229f9682fb8199ce9ac37395880e6952798e00373 \ - --hash=sha256:6bb69bf3b6500f195c3deb69c1205ba8fc3cb21d1915f1f158a10d6b1ef29b6a \ - --hash=sha256:6e19401742ed7b69e51d8e4df3c03ad5ec65a83b36244479fd70edde2828a5d9 \ - --hash=sha256:6f4a53af9e81d757756508b57cae1cf28293f0f31b9fa2bfcb416cc7fb230f9d \ - --hash=sha256:6fda87808429c520a002a85d6e7cdadbf58231d60e96260976c5b8f9a12a8e13 \ - --hash=sha256:78f841523729e43e3928a364ec46e2e3f80e6625a4f62aca5c345f3f626c6e8a \ - --hash=sha256:7a6ebfac28fd51890a61df36ef202adbd77d00ee5aca4a3dadb3d9ed49cfb929 \ - --hash=sha256:7b0202ebf2268954090209a84f9897345719e46a57c5f2c9b7b250ca0a9d3e63 \ - --hash=sha256:8117839a9bdbba86e7f9df57018fe3b96cec934c3940b591b0fd3fbfb485864a \ - --hash=sha256:82e1ad4ca170e8af4c928b67cff731b6296e6a0a0981b97b2eb7c275cc4e15bd \ - --hash=sha256:836a4bfe0cc6d36dc9a9cc1a7b391265bf6ce9d1eb1eac62ac5139f5d8d9a6fa \ - --hash=sha256:84af1cf7bfdcbc6fcf5a5f70cc9896205e0350306e4dd73d54b6a18894f79386 \ - --hash=sha256:84e35afd9e10b2698e6f2f32256678cb23ca6c1568d02628033a837638b3ed12 \ - --hash=sha256:884f1806609c2c66564082540cffc96868c5571c7c3cf3a783f63f2fb49bd3cd \ - --hash=sha256:8a150392102c402c538190730fda06f3bce654fc498865579a9f2c1d2b425833 \ - --hash=sha256:8e21d927469d04b39386255bf00d0feedead16f6253dcc85e9e10ddebc334084 \ - --hash=sha256:8e96ca781e0c01e32115912ebdf7b3fb0780ce748b80d7d28a0802fa9fbaf44e \ - --hash=sha256:8ee4c2a75af9fe21269a4a0898c5425afb01af1f5d276063f57e2ae1bc64e191 \ - --hash=sha256:91bc66f878557313c2a6bcf396e7befcffe5ab4354cfe4427318968af31143c3 \ - --hash=sha256:951e71da6c89d354572098bada5ba5b5dc3a9390c933af8a614e37755d3d1840 \ - --hash=sha256:99b2863c1365f43f74199c980a3d40f18a218fbe683dd64e470199db426c4d6a \ - --hash=sha256:9a8fbf506fde1529a1e3698198fe64bfbe2e0c09557bc6a7dcf872e7c01fec40 \ - --hash=sha256:9ce048deb1e033e7a865ca384770bccc11d44179cf09e5193a535c4c2f497bdc \ - --hash=sha256:9fe94d9d2a2b4edd7a4b22adcd45814b1b59b03feb00e56deb2e89747aec7bfe \ - 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--hash=sha256:cd2ac6b919f7fed71b17fe0b4603c092a4c9b5bae414817c9c81d3c22d1e1bcc \ - --hash=sha256:d28ca7066d6cdd347a50d8b725dc10d9a1d6a1cce09836cf071ea6a2d4908be0 \ - --hash=sha256:d29e235ce13c91902ef3efc3d883a677655b3908b1cbc73dee816e5e1f8f7739 \ - --hash=sha256:d8b5ee4ae9170e2775d495b81f414cc20268041c42571530513496ba61e94ba3 \ - --hash=sha256:db72e40628967f6dc572020d04b5f800d71264e0531c6da35097e73bdf38b003 \ - --hash=sha256:df45c4073bed486ea2f18757057953afed8dd77add7276ff01bccb79982cf46c \ - --hash=sha256:dfa5f5c0a4c8fced1422dc2ca7eefd872d5d13eb33cf324361dbf1dbfba0a9fe \ - --hash=sha256:e015833384ca3e1a0565a79f5d953b0629d9138021c27ad37c92a9fa1af7623c \ - --hash=sha256:e15315691fe2253eb447503153acef4d7223dfe7e7702f9ed66539fcd0c43801 \ - --hash=sha256:e65466b31be1070b4a5b7dbfbd14b247884cb8e8b79c64fb0f36b472912dbaea \ - --hash=sha256:e7820bb0d65e3ce1e3e70b6708c2f66143f55912fa02f4b618d0f08b61575f12 \ - --hash=sha256:e851a051f7260e6d688267eb039c81f05f23a19431bd7dfa4bf5e3cb34c108cd \ - --hash=sha256:e9f9feee7f334b72ceae46313333d002b56f325b5f04271b4ae2aadd9e993ae4 \ - --hash=sha256:eb40f828bc2f73f777d1eb8fee2e86cd9692a4518b63b6b5aa8af915dfd3207b \ - --hash=sha256:eb704155e73b833801c247f39d562229c0303f54770ca14fb1c053acb376cf10 \ - --hash=sha256:edb1bfd45227dec8d50bc7c7d86463cd8728bcc574f9b07de7369880de4626a3 \ - --hash=sha256:ee7d9d5537daf6d5c74a83b38a638cc001b648096c1cae8ef695b0c919d9d379 \ - --hash=sha256:f57783fbaf648205ac50ae7d646f27582fc706be3977e87c3c124e7a92407b10 \ - --hash=sha256:ff63a92f6e249514ef35bc795de10745be0226eaea06eb48b4bbeaa0c8850a4a +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + 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--hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via vllm shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de @@ -4418,11 +4532,10 @@ traitlets==5.14.3 \ # nbconvert # nbformat # notebook -transformers==4.53.2 \ - --hash=sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2 \ - --hash=sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf +transformers==4.55.2 \ + --hash=sha256:097e3c2e2c0c9681db3da9d748d8f9d6a724c644514673d0030e8c5a1109f1f1 \ + --hash=sha256:a45ec60c03474fd67adbce5c434685051b7608b3f4f167c25aa6aeb1cad16d4f # via - # -r python/requirements/llm/llm-requirements.txt # compressed-tensors # vllm # xgrammar @@ -4467,7 +4580,14 @@ typing-extensions==4.12.2 \ # referencing # torch # typer + # typing-inspection # vllm +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/deplocks/llm/ray_test_py311_cu128.lock + # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 @@ -4555,9 +4675,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt -vllm==0.10.0 \ - --hash=sha256:8ca37559d82b43b5e8c8248d2e4a1ecb51d6d4e5d517491d656df6491ed93dab \ - --hash=sha256:a44e9013db26082a82c3931ed8772ac884d6d60566d36ecdb0e8dc01c65b241a +vllm==0.10.1.1 \ + --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ + --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ diff --git a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py index 092622d70bea..18606714869f 100644 --- a/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py +++ b/python/ray/llm/_internal/batch/stages/vllm_engine_stage.py @@ -11,6 +11,7 @@ from typing import Any, AsyncIterator, Dict, List, Optional, Tuple, Type import numpy as np +import torch from pydantic import BaseModel, Field, root_validator import ray @@ -109,6 +110,11 @@ def from_vllm_engine_output(cls, output: Any) -> "vLLMOutputData": data.num_generated_tokens = len(output.outputs[0].token_ids) elif isinstance(output, vllm.outputs.PoolingRequestOutput): data.embeddings = output.outputs.data.cpu() + if ( + isinstance(data.embeddings, torch.Tensor) + and data.embeddings.dtype == torch.bfloat16 + ): + data.embeddings = data.embeddings.to(torch.float32) else: raise ValueError(f"Unknown output type: {type(output)}") @@ -487,7 +493,7 @@ def __init__( model=self.model, model_source=model_source, idx_in_batch_column=self.IDX_IN_BATCH_COLUMN, - disable_log_requests=True, + enable_log_requests=False, max_pending_requests=self.max_pending_requests, dynamic_lora_loading_path=dynamic_lora_loading_path, **self.engine_kwargs, diff --git a/python/ray/llm/_internal/serve/configs/openai_api_models.py b/python/ray/llm/_internal/serve/configs/openai_api_models.py index 2d118ab4742e..78d4f4687e25 100644 --- a/python/ray/llm/_internal/serve/configs/openai_api_models.py +++ b/python/ray/llm/_internal/serve/configs/openai_api_models.py @@ -21,6 +21,7 @@ EmbeddingChatRequest as vLLMEmbeddingChatRequest, EmbeddingCompletionRequest as vLLMEmbeddingCompletionRequest, EmbeddingResponse as vLLMEmbeddingResponse, + ErrorInfo as vLLMErrorInfo, ErrorResponse as vLLMErrorResponse, ScoreRequest as vLLMScoreRequest, ScoreResponse as vLLMScoreResponse, @@ -43,6 +44,10 @@ class ChatCompletionStreamResponse(vLLMChatCompletionStreamResponse): model_config = ConfigDict(arbitrary_types_allowed=True) +class ErrorInfo(vLLMErrorInfo): + model_config = ConfigDict(arbitrary_types_allowed=True) + + class ErrorResponse(vLLMErrorResponse): model_config = ConfigDict(arbitrary_types_allowed=True) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py index b1e9457c8e74..d8eeea45801a 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py @@ -17,6 +17,7 @@ CompletionResponse, EmbeddingRequest, EmbeddingResponse, + ErrorInfo, ErrorResponse, ScoreRequest, ScoreResponse, @@ -355,7 +356,7 @@ async def resolve_lora(self, disk_lora_model: DiskMultiplexConfig): ) if isinstance(lora_request, VLLMErrorResponse): - raise ValueError(f"Failed to load lora model: {lora_request.message}") + raise ValueError(f"Failed to load lora model: {lora_request.error.message}") def _create_raw_request( self, @@ -397,7 +398,7 @@ async def chat( yield response else: if isinstance(chat_response, VLLMErrorResponse): - yield ErrorResponse(**chat_response.model_dump()) + yield ErrorResponse(error=ErrorInfo(**chat_response.error.model_dump())) else: yield ChatCompletionResponse(**chat_response.model_dump()) @@ -426,7 +427,9 @@ async def completions( yield response else: if isinstance(completion_response, VLLMErrorResponse): - yield ErrorResponse(**completion_response.model_dump()) + yield ErrorResponse( + error=ErrorInfo(**completion_response.error.model_dump()) + ) else: yield CompletionResponse(**completion_response.model_dump()) @@ -445,7 +448,9 @@ async def embeddings( ) if isinstance(embedding_response, VLLMErrorResponse): - yield ErrorResponse(**embedding_response.model_dump()) + yield ErrorResponse( + error=ErrorInfo(**embedding_response.error.model_dump()) + ) else: yield EmbeddingResponse(**embedding_response.model_dump()) diff --git a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py index 36a5444fc564..610205de86c4 100644 --- a/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py +++ b/python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_models.py @@ -93,26 +93,17 @@ def get_initialization_kwargs(self) -> dict: else: engine_kwargs["distributed_executor_backend"] = "ray" - # TODO(lk-chen): Remove the logic once we require vllm>=0.10.1 - # vLLM 0.10.1 replaces `disable_log_requests` with - # `enable_log_requests`. Here we are trying to be compatible with both. - if hasattr(AsyncEngineArgs, "enable_log_requests"): - if "disable_log_requests" in engine_kwargs: - logger.warning( - "disable_log_requests is set in engine_kwargs, but vLLM " - "does not support it. Converting to enable_log_requests." - ) - engine_kwargs["enable_log_requests"] = not engine_kwargs.pop( - "disable_log_requests" - ) - else: - engine_kwargs["enable_log_requests"] = False - elif "disable_log_requests" not in engine_kwargs: - logger.info( - "Disabling request logging by default. To enable, set to False" - " in engine_kwargs." + # TODO (Nikhil): Remove this once vLLM fully deprecates disable_log_requests. + if "disable_log_requests" in engine_kwargs: + logger.warning( + "disable_log_requests is set in engine_kwargs, but vLLM " + "does not support it. Converting to enable_log_requests." + ) + engine_kwargs["enable_log_requests"] = not engine_kwargs.pop( + "disable_log_requests" ) - engine_kwargs["disable_log_requests"] = True + elif "enable_log_requests" not in engine_kwargs: + engine_kwargs["enable_log_requests"] = False return engine_kwargs diff --git a/python/ray/llm/_internal/serve/deployments/routers/middleware.py b/python/ray/llm/_internal/serve/deployments/routers/middleware.py index 961e199332ff..6a2588d2a4dd 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/middleware.py +++ b/python/ray/llm/_internal/serve/deployments/routers/middleware.py @@ -67,10 +67,10 @@ def _uncaught_exception_handler(request: Request, e: Exception): logger.error(f"Uncaught exception while handling request {request_id}", exc_info=e) - response_payload = get_response_for_error(e, request_id) + error_response = get_response_for_error(e, request_id) return JSONResponse( - content=response_payload.model_dump(), status_code=response_payload.code + content=error_response.model_dump(), status_code=error_response.error.code ) @@ -111,11 +111,11 @@ async def _handle_application_exceptions( return await _handle_validation_error(request, e) except Exception as e: request_id = get_request_id(request) - response_payload = get_response_for_error(e, request_id) + error_response = get_response_for_error(e, request_id) return JSONResponse( - content=response_payload.model_dump(), - status_code=response_payload.code, + content=error_response.model_dump(), + status_code=error_response.error.code, ) # This adds last-resort uncaught exception handler into Starlette diff --git a/python/ray/llm/_internal/serve/deployments/routers/router.py b/python/ray/llm/_internal/serve/deployments/routers/router.py index 240fff0184e7..5a859bc5e100 100644 --- a/python/ray/llm/_internal/serve/deployments/routers/router.py +++ b/python/ray/llm/_internal/serve/deployments/routers/router.py @@ -446,9 +446,9 @@ async def _process_llm_request( if isinstance(first_chunk, ErrorResponse): raise OpenAIHTTPException( - message=first_chunk.message, - status_code=first_chunk.code, - type=first_chunk.type, + message=first_chunk.error.message, + status_code=first_chunk.error.code, + type=first_chunk.error.type, ) if isinstance(first_chunk, NoneStreamingResponseType): @@ -495,9 +495,9 @@ async def embeddings(self, body: EmbeddingRequest) -> Response: result = await results.__anext__() if isinstance(result, ErrorResponse): raise OpenAIHTTPException( - message=result.message, - status_code=result.code, - type=result.type, + message=result.error.message, + status_code=result.error.code, + type=result.error.type, ) if isinstance(result, EmbeddingResponse): diff --git a/python/ray/llm/_internal/serve/deployments/utils/server_utils.py b/python/ray/llm/_internal/serve/deployments/utils/server_utils.py index 121b5ea68118..4d490ec329f2 100644 --- a/python/ray/llm/_internal/serve/deployments/utils/server_utils.py +++ b/python/ray/llm/_internal/serve/deployments/utils/server_utils.py @@ -9,6 +9,7 @@ from ray import serve from ray.llm._internal.serve.configs.openai_api_models import ( + ErrorInfo, ErrorResponse, OpenAIHTTPException, ) @@ -110,11 +111,12 @@ def get_response_for_error( if "(Request ID: " not in internal_message: internal_message += f" (Request ID: {request_id})" - error_response = ErrorResponse( + error_info = ErrorInfo( message=f"Message: {message}, Internal exception: {internal_message}, original exception: {str(e)}", code=status_code, type=exc_type, ) + error_response = ErrorResponse(error=error_info) return error_response diff --git a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py index d05805f13eea..71971caf62e1 100644 --- a/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py +++ b/python/ray/llm/tests/batch/gpu/stages/test_vllm_engine_stage.py @@ -171,7 +171,7 @@ async def test_vllm_engine_udf_basic(mock_vllm_wrapper, model_llama_3_2_216M): task=vLLMTaskType.GENERATE, max_num_seqs=100, dynamic_lora_loading_path=None, - disable_log_requests=True, + enable_log_requests=False, ) diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index d8eb58a1fd7d..dde9a0e38905 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -2,7 +2,7 @@ # constraining to a maximum version (i.e. <=) to temporarily work around a bug. # Those pins for the sake of workarounds should not be advertised as constraints # on future releases in setup.py. -vllm>=0.10.0 +vllm>=0.10.1.1 # For json mode jsonref>=1.1.0 jsonschema @@ -13,7 +13,6 @@ typer meson pybind11 hf_transfer -transformers<4.54.0 # Due to https://github.com/vllm-project/vllm-ascend/issues/2046 # nixl version Needs to be in sync with the one in ray-llm/Dockerfile nixl==0.4.1 diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 03fbe19cc80f..466bf856d272 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -1619,7 +1619,7 @@ pycparser==2.21 # via cffi pycurl==7.45.3 # via -r python/requirements/cloud-requirements.txt -pydantic==2.10.0 +pydantic==2.11.7 # via # -r python/requirements.txt # -r python/requirements/test-requirements.txt @@ -1629,7 +1629,7 @@ pydantic==2.10.0 # gradio # mlflow-skinny # pyiceberg -pydantic-core==2.27.0 +pydantic-core==2.33.2 # via pydantic pydot==1.4.2 # via -r python/requirements/test-requirements.txt @@ -2416,6 +2416,9 @@ typing-extensions==4.12.2 # tensorflow # torch # typer + # typing-inspection +typing-inspection==0.4.1 + # via pydantic tzdata==2025.2 # via kombu tzlocal==5.3 diff --git a/python/setup.py b/python/setup.py index 7f65cf5ef2cd..d4770cd2f8c8 100644 --- a/python/setup.py +++ b/python/setup.py @@ -372,7 +372,7 @@ def get_packages(self): setup_spec.extras["llm"] = list( set( [ - "vllm>=0.10.0", + "vllm>=0.10.1.1", "jsonref>=1.1.0", "jsonschema", "ninja", diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 1c7932f46d7d..110ebf61b755 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4598,7 +4598,7 @@ script: python run_llm_serve_test_and_bms.py --serve-config-file configs/serve_llama_3dot1_8b_quantized_tp1_2p6d.yaml --skip-hf-token true - name: llm_serve_llama_3dot1_8B_quantized_tp1_2p6d_lmcache - frequency: nightly + frequency: manual # todo(ray-llm): fix this test with new/old lmcache version and new vllm version and re-enable it. python: "3.11" group: llm-serve team: llm From 9cc6bb33d6511639018904824f1e7d57563465c4 Mon Sep 17 00:00:00 2001 From: Ricardo Decal Date: Fri, 5 Sep 2025 10:33:59 -0700 Subject: [PATCH 1059/1566] [CI] Add text embed benchmark tests to group: data-tests. (#56256) The text embedding benchmarks are currently ungrouped in buildkite. This PR adds them to the Data group Signed-off-by: Ricardo Decal Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 110ebf61b755..e4ff69657d36 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4666,6 +4666,7 @@ python: "3.11" # necessary for the llm-cu128 image working_dir: nightly_tests team: data + group: data-tests cluster: byod: @@ -4688,6 +4689,7 @@ python: "3.11" working_dir: nightly_tests team: data + group: data-tests cluster: byod: From 0e7f41250f3adc77ff1e5f55d1439548ca7a148d Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Fri, 5 Sep 2025 10:44:22 -0700 Subject: [PATCH 1060/1566] [Core] [TaskEvent] Fix Missing Events Issue in Task Events (#55916) Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_event_buffer.cc | 39 ++-- src/ray/core_worker/task_event_buffer.h | 33 ++-- .../tests/task_event_buffer_test.cc | 171 +++++++++++------- 3 files changed, 143 insertions(+), 100 deletions(-) diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 9187764b2768..f6f632b581c1 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -279,8 +279,9 @@ void TaskStatusEvent::PopulateRpcRayEventBaseFields( } } -void TaskStatusEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { - auto &[task_definition_event_rpc, task_execution_event_rpc] = ray_events_pair; +void TaskStatusEvent::ToRpcRayEvents(RayEventsTuple &ray_events_tuple) { + auto &[task_definition_event_rpc, task_execution_event_rpc, task_profile_event_rpc] = + ray_events_tuple; google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(timestamp_); @@ -356,16 +357,15 @@ void TaskProfileEvent::PopulateRpcRayEventBaseFields( ray_event.set_session_name(session_name_); } -void TaskProfileEvent::ToRpcRayEvents(RayEventsPair &ray_events_pair) { - auto &[task_profile_Event, null_event] = ray_events_pair; - // Second element of the RayEventsPair will always be empty for TaskProfileEvent - null_event = std::nullopt; +void TaskProfileEvent::ToRpcRayEvents(RayEventsTuple &ray_events_tuple) { + auto &[task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; // Using profile start time as the event generation timestamp google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(start_time_); // Populate Ray event base fields - auto &ray_event = task_profile_Event.emplace(); + auto &ray_event = task_profile_event.emplace(); PopulateRpcRayEventBaseFields(ray_event, timestamp); // Populate the task profile event @@ -622,21 +622,24 @@ std::unique_ptr TaskEventBufferImpl::CreateTaskEventDataToSe std::unique_ptr TaskEventBufferImpl::CreateRayEventsDataToSend( - absl::flat_hash_map &&agg_task_events, + absl::flat_hash_map &&agg_task_events, const absl::flat_hash_set &dropped_task_attempts_to_send) { auto data = std::make_unique(); // Move the ray events. - for (auto &[task_attempt, ray_events_pair] : agg_task_events) { - // For TaskStatusEvent: first = task definition event, second = task execution event - // For TaskProfileEvent: first = task profile event, second = nullopt (empty) - auto &[first_event, second_event] = ray_events_pair; - if (first_event) { + for (auto &[task_attempt, ray_events_tuple] : agg_task_events) { + auto &[task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; + if (task_definition_event) { auto events = data->add_events(); - *events = std::move(first_event.value()); + *events = std::move(task_definition_event.value()); } - if (second_event) { + if (task_execution_event) { auto events = data->add_events(); - *events = std::move(second_event.value()); + *events = std::move(task_execution_event.value()); + } + if (task_profile_event) { + auto events = data->add_events(); + *events = std::move(task_profile_event.value()); } } @@ -657,8 +660,8 @@ TaskEventBuffer::TaskEventDataToSend TaskEventBufferImpl::CreateDataToSend( const absl::flat_hash_set &dropped_task_attempts_to_send) { // Aggregate the task events by TaskAttempt. absl::flat_hash_map agg_task_events; - // (task_attempt, (task_definition_event, task_execution_events)) - absl::flat_hash_map agg_ray_events; + // (task_attempt, (task_definition_event, task_execution_event, task_profile_event)) + absl::flat_hash_map agg_ray_events; auto to_rpc_event_fn = [this, &agg_task_events, &agg_ray_events, &dropped_task_attempts_to_send]( diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 1f3d11283612..39030c3a7c0f 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -17,6 +17,7 @@ #include #include #include +#include #include #include @@ -41,13 +42,16 @@ namespace core { namespace worker { using TaskAttempt = std::pair; -/// A pair of rpc::events::RayEvent. -/// When converting the TaskStatusEvent, the pair will be populated with the -/// rpc::events::TaskDefinitionEvent and rpc::events::TaskExecutionEvent respectively. -/// When converting the TaskProfileEvent, only the first element of the pair will be -/// populated with rpc::events::TaskProfileEvents -using RayEventsPair = - std::pair, std::optional>; +/// A tuple of rpc::events::RayEvent. +/// When converting the TaskStatusEvent, the first 2 elements of the tuple will be +/// populated with rpc::events::TaskDefinitionEvent and rpc::events::TaskExecutionEvent +/// respectively. When converting the TaskProfileEvent, the last element of the tuple will +/// be populated with rpc::events::TaskProfileEvent. A tuple is needed because the +/// TaskProfileEvent, TaskDefinitionEvent and TaskExecutionEvent all can share the same +/// task_id and attempt_number. +using RayEventsTuple = std::tuple, + std::optional, + std::optional>; /// A wrapper class that will be converted to protobuf task events representation. /// @@ -84,7 +88,7 @@ class TaskEvent { /// Convert itself to a pair of RayEvent. /// /// \param[out] ray_events The pair of rpc::events::RayEvent - virtual void ToRpcRayEvents(RayEventsPair &ray_events) = 0; + virtual void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) = 0; /// If it is a profile event. virtual bool IsProfileEvent() const = 0; @@ -169,9 +173,9 @@ class TaskStatusEvent : public TaskEvent { /// NOTE: this method will modify internal states by moving fields of task_spec_ to /// the rpc::events::RayEvent. /// - /// \param[out] ray_events The pair of rpc::events::RayEvent protobuf messages to be + /// \param[out] ray_events The tuple of rpc::events::RayEvent protobuf messages to be /// filled. - void ToRpcRayEvents(RayEventsPair &ray_events) override; + void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) override; bool IsProfileEvent() const override { return false; } @@ -224,8 +228,8 @@ class TaskProfileEvent : public TaskEvent { std::shared_ptr rpc_task_export_event_data) override; /// Note: The extra data will be moved when this is called and will no longer be usable. - /// Second element of the RayEventsPair will always be empty for TaskProfileEvent. - void ToRpcRayEvents(RayEventsPair &ray_events) override; + /// Second element of the RayEventsTuple will always be empty for TaskProfileEvent. + void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) override; bool IsProfileEvent() const override { return true; } @@ -464,7 +468,7 @@ class TaskEventBufferImpl : public TaskEventBuffer { /// status events being dropped. /// \return data The ray event data to be sent. std::unique_ptr CreateRayEventsDataToSend( - absl::flat_hash_map &&agg_task_events, + absl::flat_hash_map &&agg_task_events, const absl::flat_hash_set &dropped_task_attempts_to_send); /// Reset the metrics counters for flush. @@ -607,7 +611,8 @@ class TaskEventBufferImpl : public TaskEventBuffer { FRIEND_TEST(TaskEventBufferTestLimitProfileEvents, TestLimitProfileEventsPerTask); FRIEND_TEST(TaskEventTestWriteExport, TestWriteTaskExportEvents); FRIEND_TEST(TaskEventBufferTest, TestCreateRayEventsDataWithProfileEvents); - FRIEND_TEST(TaskEventBufferTest, TestMixedStatusAndProfileEventsToRayEvents); + FRIEND_TEST(TaskEventBufferTestDifferentDestination, + TestMixedStatusAndProfileEventsToRayEvents); }; } // namespace worker diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index 061ccdae97bf..6169b36b0176 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -433,9 +433,10 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { auto event = expected_task_event_data.add_events_by_task(); task_event->ToRpcTaskEvents(event); - RayEventsPair ray_events_pair; - task_event->ToRpcRayEvents(ray_events_pair); - auto [task_definition_event, task_execution_event] = ray_events_pair; + RayEventsTuple ray_events_tuple; + task_event->ToRpcRayEvents(ray_events_tuple); + auto [task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; if (task_definition_event) { auto new_event = expected_ray_events_data.add_events(); *new_event = std::move(task_definition_event.value()); @@ -444,6 +445,10 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { auto new_event = expected_ray_events_data.add_events(); *new_event = std::move(task_execution_event.value()); } + if (task_profile_event) { + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_profile_event.value()); + } } for (auto &task_event : task_events) { @@ -748,9 +753,10 @@ TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, *static_cast(event_ptr.get())); event->ToRpcTaskEvents(expect_event); - RayEventsPair ray_events_pair; - event->ToRpcRayEvents(ray_events_pair); - auto [task_definition_event, task_execution_event] = ray_events_pair; + RayEventsTuple ray_events_tuple; + event->ToRpcRayEvents(ray_events_tuple); + auto [task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; if (task_definition_event) { auto new_event = expected_ray_events_data.add_events(); *new_event = std::move(task_definition_event.value()); @@ -759,6 +765,10 @@ TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, auto new_event = expected_ray_events_data.add_events(); *new_event = std::move(task_execution_event.value()); } + if (task_profile_event) { + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_profile_event.value()); + } } // Add the data @@ -948,20 +958,23 @@ TEST_F(TaskEventBufferTest, TestTaskProfileEventToRpcRayEvents) { profile_event->SetEndTime(2000); profile_event->SetExtraData("test_extra_data"); - RayEventsPair ray_events_pair; - profile_event->ToRpcRayEvents(ray_events_pair); + RayEventsTuple ray_events_tuple; + profile_event->ToRpcRayEvents(ray_events_tuple); - auto &[first_event, second_event] = ray_events_pair; + auto &[task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; // Verify that the second event is nullopt (empty) - EXPECT_FALSE(second_event.has_value()) - << "TaskProfileEvent should set second element of RayEventsPair to nullopt"; + EXPECT_FALSE(task_definition_event.has_value()) + << "TaskProfileEvent should be populated at the third element of RayEventsTuple"; + EXPECT_FALSE(task_execution_event.has_value()) + << "TaskProfileEvent should be populated at the third element of RayEventsTuple"; // Verify that the first event contains the profile event - ASSERT_TRUE(first_event.has_value()) - << "TaskProfileEvent should populate first element of RayEventsPair"; + ASSERT_TRUE(task_profile_event.has_value()) + << "TaskProfileEvent should populate third element of RayEventsTuple"; - const auto &ray_event = first_event.value(); + const auto &ray_event = task_profile_event.value(); // Verify base fields EXPECT_EQ(ray_event.source_type(), rpc::events::RayEvent::CORE_WORKER); @@ -1016,13 +1029,13 @@ TEST_F(TaskEventBufferTest, TestCreateRayEventsDataWithProfileEvents) { "test_session_name"); profile_event->SetEndTime(6000); - absl::flat_hash_map agg_ray_events; + absl::flat_hash_map agg_ray_events; TaskAttempt task_attempt = std::make_pair(task_id, attempt_number); // Populate the ray events pair - RayEventsPair ray_events_pair; - profile_event->ToRpcRayEvents(ray_events_pair); - agg_ray_events[task_attempt] = std::move(ray_events_pair); + RayEventsTuple ray_events_tuple; + profile_event->ToRpcRayEvents(ray_events_tuple); + agg_ray_events[task_attempt] = std::move(ray_events_tuple); // Create the data using the real implementation absl::flat_hash_set dropped_task_attempts; @@ -1044,17 +1057,20 @@ TEST_F(TaskEventBufferTest, TestCreateRayEventsDataWithProfileEvents) { EXPECT_EQ(task_profile_events.attempt_number(), attempt_number); } -TEST_F(TaskEventBufferTest, TestMixedStatusAndProfileEventsToRayEvents) { +TEST_P(TaskEventBufferTestDifferentDestination, + TestMixedStatusAndProfileEventsToRayEvents) { // Test that a mix of status events and profile events are correctly handled - auto task_id1 = RandomTaskId(); - auto task_id2 = RandomTaskId(); + const auto [to_gcs, to_aggregator] = GetParam(); + + // Generate the task id and job id + auto task_id = RandomTaskId(); auto job_id = JobID::FromInt(789); // Create a status event (should populate both elements of RayEventsPair) - auto status_event = GenStatusTaskEvent(task_id1, 1, 1000); + auto status_event = GenStatusTaskEvent(task_id, 1, 1000); // Create a profile event (should populate only first element) - auto profile_event = std::make_unique(task_id2, + auto profile_event = std::make_unique(task_id, job_id, 1, "core_worker", @@ -1063,56 +1079,75 @@ TEST_F(TaskEventBufferTest, TestMixedStatusAndProfileEventsToRayEvents) { "mixed_test", 7000, "test_session_name"); + // Expect data flushed match. Generate the expected data + rpc::TaskEventData expected_task_event_data; + rpc::events::RayEventsData expected_ray_events_data; + auto event = expected_task_event_data.add_events_by_task(); + status_event->ToRpcTaskEvents(event); + profile_event->ToRpcTaskEvents(event); + + RayEventsTuple ray_events_tuple; + status_event->ToRpcRayEvents(ray_events_tuple); + profile_event->ToRpcRayEvents(ray_events_tuple); + auto [task_definition_event, task_execution_event, task_profile_event] = + ray_events_tuple; + if (task_definition_event) { + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_definition_event.value()); + } + if (task_execution_event) { + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_execution_event.value()); + } + if (task_profile_event) { + auto new_event = expected_ray_events_data.add_events(); + *new_event = std::move(task_profile_event.value()); + } - // Create aggregated events - absl::flat_hash_map agg_ray_events; - - // Add status event - RayEventsPair status_ray_events_pair; - status_event->ToRpcRayEvents(status_ray_events_pair); - agg_ray_events[std::make_pair(task_id1, 1)] = std::move(status_ray_events_pair); - - // Add profile event - RayEventsPair profile_ray_events_pair; - profile_event->ToRpcRayEvents(profile_ray_events_pair); - agg_ray_events[std::make_pair(task_id2, 1)] = std::move(profile_ray_events_pair); + // Add Events to the task event buffer + task_event_buffer_->AddTaskEvent(std::move(status_event)); + task_event_buffer_->AddTaskEvent(std::move(profile_event)); + ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 2); - // Create the data - absl::flat_hash_set dropped_task_attempts; - auto ray_events_data = task_event_buffer_->CreateRayEventsDataToSend( - std::move(agg_ray_events), dropped_task_attempts); + // Manually call flush should call GCS client's flushing grpc. + auto task_gcs_accessor = + static_cast(task_event_buffer_->GetGcsClient()) + ->mock_task_accessor; + if (to_gcs) { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)) + .WillOnce([&](std::unique_ptr actual_data, + ray::gcs::StatusCallback callback) { + CompareTaskEventData(*actual_data, expected_task_event_data); + return Status::OK(); + }); + } else { + EXPECT_CALL(*task_gcs_accessor, AsyncAddTaskEventData(_, _)).Times(0); + } - // Should have 2 events: 1 from status event (execution only since no task_spec) + 1 - // from profile event - ASSERT_EQ(ray_events_data->events_size(), 2); - - // Count event types - int task_definition_events = 0; - int task_execution_events = 0; - int task_profile_events = 0; - - for (const auto &event : ray_events_data->events()) { - switch (event.event_type()) { - case rpc::events::RayEvent::TASK_DEFINITION_EVENT: - task_definition_events++; - break; - case rpc::events::RayEvent::TASK_EXECUTION_EVENT: - task_execution_events++; - break; - case rpc::events::RayEvent::TASK_PROFILE_EVENT: - task_profile_events++; - break; - default: - FAIL() << "Unexpected event type: " << event.event_type(); - } + // If ray events to aggregator is enabled, expect to call AddEvents grpc. + auto event_aggregator_client = static_cast( + task_event_buffer_->event_aggregator_client_.get()); + rpc::events::AddEventsRequest add_events_request; + if (to_aggregator) { + rpc::events::AddEventsReply reply; + Status status = Status::OK(); + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)) + .WillOnce(DoAll( + Invoke([&](const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback) { + CompareRayEventsData(request.events_data(), expected_ray_events_data); + }), + MakeAction( + new MockEventAggregatorAddEvents(std::move(status), std::move(reply))))); + } else { + EXPECT_CALL(*event_aggregator_client, AddEvents(_, _)).Times(0); } - EXPECT_EQ(task_definition_events, 0) - << "Should have 0 task definition events since GenStatusTaskEvent has no task_spec"; - EXPECT_EQ(task_execution_events, 1) - << "Should have 1 task execution event from status event"; - EXPECT_EQ(task_profile_events, 1) - << "Should have 1 task profile event from profile event"; + // Flush events + task_event_buffer_->FlushEvents(false); + + // Expect no more events. + ASSERT_EQ(task_event_buffer_->GetNumTaskEventsStored(), 0); } INSTANTIATE_TEST_SUITE_P(TaskEventBufferTest, From b4d2bb3e14f6747a51623c881c54542362c7fcaa Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Fri, 5 Sep 2025 10:57:50 -0700 Subject: [PATCH 1061/1566] [core] (cgroups 3/n) Creating CgroupManager to setup Ray's cgroup hierarchy and clean it up (#56186) Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/cgroup2/BUILD.bazel | 48 ++++ src/ray/common/cgroup2/cgroup_manager.cc | 227 ++++++++++++++++++ src/ray/common/cgroup2/cgroup_manager.h | 134 +++++++++++ .../common/cgroup2/cgroup_manager_interface.h | 87 +++++++ src/ray/common/cgroup2/fake_cgroup_driver.h | 151 ++++++++++++ .../common/cgroup2/scoped_cgroup_operation.h | 54 +++++ src/ray/common/cgroup2/tests/BUILD.bazel | 19 ++ .../cgroup2/tests/cgroup_manager_test.cc | 101 ++++++++ src/ray/common/status_or.h | 1 + 9 files changed, 822 insertions(+) create mode 100644 src/ray/common/cgroup2/cgroup_manager.cc create mode 100644 src/ray/common/cgroup2/cgroup_manager.h create mode 100644 src/ray/common/cgroup2/cgroup_manager_interface.h create mode 100644 src/ray/common/cgroup2/fake_cgroup_driver.h create mode 100644 src/ray/common/cgroup2/scoped_cgroup_operation.h create mode 100644 src/ray/common/cgroup2/tests/cgroup_manager_test.cc diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index 2822450214c2..85cd2a9dc059 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -14,6 +14,40 @@ ray_cc_library( ], ) +ray_cc_library( + name = "cgroup_manager_interface", + hdrs = [ + "cgroup_manager_interface.h", + ], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + "//src/ray/common:status", + "//src/ray/common:status_or", + ], +) + +ray_cc_library( + name = "cgroup_manager", + srcs = ["cgroup_manager.cc"], + hdrs = [ + "cgroup_manager.h", + "scoped_cgroup_operation.h", + ], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + ":cgroup_driver_interface", + ":cgroup_manager_interface", + "//src/ray/common:status", + "//src/ray/common:status_or", + "//src/ray/util:logging", + "@com_google_absl//absl/strings", + ], +) + ray_cc_library( name = "sysfs_cgroup_driver", srcs = ["sysfs_cgroup_driver.cc"], @@ -32,6 +66,20 @@ ray_cc_library( ], ) +ray_cc_library( + name = "fake_cgroup_driver", + hdrs = [ + "fake_cgroup_driver.h", + ], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + ":cgroup_driver_interface", + "//src/ray/common:status", + ], +) + ray_cc_library( name = "cgroup_test_utils", srcs = ["cgroup_test_utils.cc"], diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc new file mode 100644 index 000000000000..f01741ea0d1d --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -0,0 +1,227 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/cgroup_manager.h" + +#include +#include +#include +#include +#include + +#include "absl/strings/str_format.h" +#include "absl/strings/str_join.h" +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/cgroup2/scoped_cgroup_operation.h" +#include "ray/common/status_or.h" + +namespace ray { + +CgroupManager::CgroupManager(std::string base_cgroup_path, + const std::string &node_id, + std::unique_ptr cgroup_driver) + : base_cgroup_path_(std::move(base_cgroup_path)), + cgroup_driver_(std::move(cgroup_driver)) { + node_cgroup_path_ = base_cgroup_path_ + std::filesystem::path::preferred_separator + + absl::StrFormat("%s_%s", kNodeCgroupName, node_id); + system_cgroup_path_ = + node_cgroup_path_ + std::filesystem::path::preferred_separator + kSystemCgroupName; + + application_cgroup_path_ = node_cgroup_path_ + + std::filesystem::path::preferred_separator + + kApplicationCgroupName; +} + +CgroupManager::~CgroupManager() { + while (!cleanup_operations_.empty()) { + cleanup_operations_.pop_back(); + } +} + +StatusOr> CgroupManager::Create( + std::string base_cgroup_path, + const std::string &node_id, + const int64_t system_reserved_cpu_weight, + const int64_t system_reserved_memory_bytes, + std::unique_ptr cgroup_driver) { + // TODO(#54703): Add bounds checking for system_reserved_cpu_weight + // and system_reserved_memory_bytes. + RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroupv2Enabled()); + RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroup(base_cgroup_path)); + StatusOr> available_controllers = + cgroup_driver->GetAvailableControllers(base_cgroup_path); + + if (!available_controllers.ok()) { + return available_controllers.status(); + } + + std::string supported_controllers_str = + absl::StrCat("[", absl::StrJoin(supported_controllers_, ", "), "]"); + + for (const auto &ctrl : supported_controllers_) { + if (available_controllers->find(ctrl) == available_controllers->end()) { + std::string available_controllers_str = + absl::StrCat("[", absl::StrJoin(*available_controllers, ", "), "]"); + return Status::Invalid(absl::StrFormat( + "Failed to initialize resource isolation " + "because required controllers are not available in the cgroup %s. " + "To make controllers available in %s, you need to enable controllers for its " + "ancestor cgroups. See " + "https://docs.kernel.org/admin-guide/cgroup-v2.html#controlling-controllers " + "for more details. Available controllers: %s. Required controllers: " + "%s.", + base_cgroup_path, + base_cgroup_path, + available_controllers_str, + supported_controllers_str)); + } + } + + std::unique_ptr cgroup_manager = std::unique_ptr( + new CgroupManager(std::move(base_cgroup_path), node_id, std::move(cgroup_driver))); + + RAY_RETURN_NOT_OK(cgroup_manager->Initialize(system_reserved_cpu_weight, + system_reserved_memory_bytes)); + + return cgroup_manager; +} + +// TODO(#54703): This is a placeholder for cleanup. This will call +// CgroupDriver::DeleteCgroup. +void CgroupManager::RegisterDeleteCgroup(const std::string &cgroup_path) { + cleanup_operations_.emplace_back([cgroup = cgroup_path]() { + RAY_LOG(INFO) << absl::StrFormat("Deleting all cgroup %s.", cgroup); + }); +} + +// TODO(#54703): This is a placeholder for cleanup. This will call +// CgroupDriver::MoveAllProcesses. +void CgroupManager::RegisterMoveAllProcesses(const std::string &from, + const std::string &to) { + cleanup_operations_.emplace_back([from_cgroup = from, to_cgroup = to]() { + RAY_LOG(INFO) << absl::StrFormat( + "Moved All Processes from %s to %s.", from_cgroup, to_cgroup); + }); +} + +// TODO(#54703): This is a placeholder for cleanup. This will call +// CgroupDriver::AddConstraint(cgroup, constraint, default_value). +void CgroupManager::RegisterRemoveConstraint(const std::string &cgroup, + const std::string &constraint) { + cleanup_operations_.emplace_back( + [constrained_cgroup = cgroup, constraint_to_remove = constraint]() { + auto constraint_metadata = supported_constraints_.find(constraint_to_remove); + RAY_CHECK(constraint_metadata != supported_constraints_.end()); + RAY_LOG(INFO) << absl::StrFormat( + "Setting constraint %s to default value %lld for cgroup %s", + constraint_to_remove, + constraint_metadata->second.default_value, + constrained_cgroup); + }); +} + +// TODO(#54703): This is a placeholder for cleanup. This will call +// CgroupDriver::DisableController. +void CgroupManager::RegisterDisableController(const std::string &cgroup, + const std::string &controller) { + cleanup_operations_.emplace_back([cgroup_to_clean = cgroup, + controller_to_disable = controller]() { + RAY_LOG(INFO) << absl::StrFormat( + "Disabling controller %s for cgroup %s.", controller_to_disable, cgroup_to_clean); + }); +} + +Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, + int64_t system_reserved_memory_bytes) { + std::string supported_controllers = + absl::StrCat("[", absl::StrJoin(supported_controllers_, ", "), "]"); + + // The cpu.weight is distributed between the system and application cgroups. + // The application cgroup gets whatever is leftover from the system cgroup. + int64_t max_cpu_weight = supported_constraints_.at(kCPUWeightConstraint).Max(); + int64_t application_cgroup_cpu_weight = max_cpu_weight - system_reserved_cpu_weight; + + RAY_LOG(INFO) << absl::StrFormat( + "Initializing CgroupManager at base cgroup path at %s. Ray's cgroup " + "hierarchy will under the node cgroup %s. The %s controllers will be " + "enabled. " + "System cgroup %s will have constraints [%s=%lld, %s=%lld]. " + "Application cgroup %s will have constraints [%s=%lld].", + base_cgroup_path_, + node_cgroup_path_, + supported_controllers, + system_cgroup_path_, + kCPUWeightConstraint, + system_reserved_cpu_weight, + kMemoryMinConstraint, + system_reserved_memory_bytes, + application_cgroup_path_, + kCPUWeightConstraint, + application_cgroup_cpu_weight); + + // Create the cgroup heirarchy: + // base_cgroup_path (e.g. /sys/fs/cgroup) + // | + // ray_node_ + // | | + // system application + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(node_cgroup_path_)); + RegisterDeleteCgroup(node_cgroup_path_); + + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(system_cgroup_path_)); + RegisterDeleteCgroup(system_cgroup_path_); + + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(application_cgroup_path_)); + RegisterDeleteCgroup(application_cgroup_path_); + + // Move all processes from the base_cgroup into the system_cgroup to make sure + // that the no internal process constraint is not violated. This is relevant + // when the base_cgroup_path is not a root cgroup for the system. This is likely + // the case if Ray is running inside a container. + RAY_RETURN_NOT_OK( + cgroup_driver_->MoveAllProcesses(base_cgroup_path_, system_cgroup_path_)); + RegisterMoveAllProcesses(system_cgroup_path_, base_cgroup_path_); + + for (const auto &ctrl : supported_controllers_) { + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(base_cgroup_path_, ctrl)); + RegisterDisableController(base_cgroup_path_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(node_cgroup_path_, ctrl)); + RegisterDisableController(node_cgroup_path_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(system_cgroup_path_, ctrl)); + RegisterDisableController(system_cgroup_path_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(application_cgroup_path_, ctrl)); + RegisterDisableController(application_cgroup_path_, ctrl); + } + + RAY_RETURN_NOT_OK( + cgroup_driver_->AddConstraint(system_cgroup_path_, + kMemoryMinConstraint, + std::to_string(system_reserved_memory_bytes))); + RegisterRemoveConstraint(system_cgroup_path_, kMemoryMinConstraint); + + RAY_RETURN_NOT_OK( + cgroup_driver_->AddConstraint(system_cgroup_path_, + kCPUWeightConstraint, + std::to_string(system_reserved_cpu_weight))); + RegisterRemoveConstraint(system_cgroup_path_, kCPUWeightConstraint); + + RAY_RETURN_NOT_OK( + cgroup_driver_->AddConstraint(application_cgroup_path_, + kCPUWeightConstraint, + std::to_string(application_cgroup_cpu_weight))); + RegisterRemoveConstraint(application_cgroup_path_, kCPUWeightConstraint); + + return Status::OK(); +} +} // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h new file mode 100644 index 000000000000..fa281e7376bf --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -0,0 +1,134 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/cgroup2/cgroup_manager_interface.h" +#include "ray/common/cgroup2/scoped_cgroup_operation.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +namespace ray { +class CgroupManager : public CgroupManagerInterface { + public: + /** + + Creates a CgroupManager after checking for the following invariants: + + 1. cgroupv2 is mounted correctly in unified mode. For more details (@see + CgroupDriverInterface::CheckCgroupv2Enabled). + 2. the current process has permissions to read and write to the base_cgroup. + 3. supported cgroup controllers are available (@see supported_controllers_). + + The CgroupManager will be used to + 1. construct the cgroup hierarchy. + 2. move processes into the appropriate cgroups. + 3. enable controllers and resource constraints. + + @param base_cgroup the cgroup that the process will take ownership of. + @param node_id used to create a ray node cgroup. + @param system_reserved_cpu_weight a value between [1,10000] to assign to the cgroup + for system processes. The cgroup for application processes gets 10000 - + system_reserved_cpu_weight. + @param system_reserved_memory_bytes used to reserve memory for the system cgroup. + @param cgroup_driver used to perform cgroup operations. + + @return Status::OK with an instance of CgroupManager if everything succeeds. + @return Status::Invalid if cgroupv2 is not enabled correctly. + @return Status::InvalidArgument if base_cgroup is not a cgroup. + @return Status::NotFound if the base_cgroupd does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and + execute permissions. + */ + static StatusOr> Create( + std::string base_cgroup_path, + const std::string &node_id, + const int64_t system_reserved_cpu_weight, + const int64_t system_reserved_memory_bytes, + std::unique_ptr cgroup_driver); + + // Unmovable and uncopyable type. + CgroupManager(const CgroupManager &) = delete; + CgroupManager &operator=(const CgroupManager &) = delete; + CgroupManager(CgroupManager &&) = default; + CgroupManager &operator=(CgroupManager &&) = default; + + /** + Performs cleanup in reverse order from the Initialize function: + 1. remove resource constraints to the system and application cgroups. + 2. disable controllers on the base, system, and application cgroups respectively. + 3. move all processes from the system cgroup into the base cgroup. + 4. delete the node, system, and application cgroups respectively. + + Cleanup is best-effort. If any step fails, it will log a warning. + */ + ~CgroupManager() override; + + private: + CgroupManager(std::string base_cgroup_path, + const std::string &node_id, + std::unique_ptr cgroup_driver); + + /** + Performs the following operations: + + 1. create the node, system, and application cgroups respectively. + 2. move all processes from the base_cgroup into the system cgroup. + 3. enable controllers the base, node, system, and application cgroups respectively. + 4. add resource constraints to the system and application cgroups. + + @param system_reserved_cpu_weight a value between [1,10000] to assign to the cgroup + for system processes. The cgroup for application processes gets 10000 - + system_reserved_cpu_weight. + @param system_reserved_memory_bytes used to reserve memory for the system cgroup. + + @return Status::OK if no errors encountered. + @return Status::NotFound if base_cgroup does not exist. + @return Status::PermissionDenied if the process does not have enough permissions + to create a cgroup or write to it. + @return Status::Invalid if processes could not be moved between cgroups. + @return Status::InvalidArgument if base_cgroup_path_ is not a valid cgroup, + supported_controllers_ cannot be enabled, or a constraint is not supported. + @return Status::AlreadyExists if the the node, application, or system cgroup already + exists. + + */ + Status Initialize(const int64_t system_reserved_cpu_weight, + const int64_t system_reserved_memory_bytes); + + // TODO(#54703): This is a placeholder for cleanup. This will be implemented in the a + // future PR. + void RegisterDeleteCgroup(const std::string &cgroup_path); + void RegisterMoveAllProcesses(const std::string &from, const std::string &to); + void RegisterRemoveConstraint(const std::string &cgroup, const std::string &constraint); + void RegisterDisableController(const std::string &cgroup, + const std::string &controller); + + std::string base_cgroup_path_; + std::string node_cgroup_path_; + std::string system_cgroup_path_; + std::string application_cgroup_path_; + + // This will be popped in reverse order to clean up all side-effects performed + // during setup. + std::vector cleanup_operations_; + + std::unique_ptr cgroup_driver_; +}; +} // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager_interface.h b/src/ray/common/cgroup2/cgroup_manager_interface.h new file mode 100644 index 000000000000..5b69405d3863 --- /dev/null +++ b/src/ray/common/cgroup2/cgroup_manager_interface.h @@ -0,0 +1,87 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/status_or.h" + +namespace ray { + +/** + Sets up resource isolation for a Ray node using cgroup2 using the following + cgroup hierachy: + + base_cgroup_path (e.g. /sys/fs/cgroup) + | + ray_node_ + | | + system application +*/ +class CgroupManagerInterface { + // TODO(#54703): The Constraint struct, supported_constraints_, and + // supported_controllers_ are duplicated across CgroupManagerInterface and + // CgroupDriverInterface. It makes sense for these to be separated into two concerns: + // 1) Checking which controllers and constraints are supported in Ray should be in + // CgroupManagerInterface. + // 2) Checking what values are allowed for constraints should be inside + // CgroupDriverInterface. + // This will be done in a later PR. + struct Constraint { + std::pair range; + std::string controller; + int64_t default_value; + + int64_t Max() const { return range.second; } + int64_t Min() const { return range.first; } + }; + + public: + // TODO(#54703): These will be implemented in a later PR to move processes + // into a cgroup. + // virtual Status AddProcessToApplicationCgroup(int) = 0; + // virtual Status AddProcessToSystemCgroup(int) = 0; + + /** + Cleans up the cgroup hierarchy, disables all controllers and removes all + constraints. + */ + virtual ~CgroupManagerInterface() = default; + + protected: + inline static const std::string kNodeCgroupName = "ray_node"; + inline static const std::string kSystemCgroupName = "system"; + inline static const std::string kApplicationCgroupName = "application"; + inline static const std::string kCPUWeightConstraint = "cpu.weight"; + inline static const std::string kMemoryMinConstraint = "memory.min"; + + inline static const std::unordered_map supported_constraints_ = + {{kCPUWeightConstraint, {{1, 10000}, "cpu", 100}}, + { + kMemoryMinConstraint, + {{0, std::numeric_limits::max()}, "memory", 0}, + }}; + inline static const std::unordered_set supported_controllers_ = {"cpu", + "memory"}; +}; +} // namespace ray diff --git a/src/ray/common/cgroup2/fake_cgroup_driver.h b/src/ray/common/cgroup2/fake_cgroup_driver.h new file mode 100644 index 000000000000..d40235f71ee3 --- /dev/null +++ b/src/ray/common/cgroup2/fake_cgroup_driver.h @@ -0,0 +1,151 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/cgroup2/cgroup_manager.h" +#include "ray/common/status.h" + +namespace ray { + +struct FakeCgroup { + std::string path_; + std::vector processes_; + std::vector> constraints_; + std::unordered_set available_controllers_; + std::unordered_set enabled_controllers_; + bool operator==(const FakeCgroup &other) const { + return path_ == other.path_ && processes_ == other.processes_ && + constraints_ == other.constraints_ && + available_controllers_ == other.available_controllers_ && + enabled_controllers_ == other.enabled_controllers_; + } +}; +class FakeCgroupDriver : public CgroupDriverInterface { + public: + explicit FakeCgroupDriver( + std::shared_ptr> cgroups) + : cgroups_(cgroups) {} + + explicit FakeCgroupDriver(std::string base_cgroup) + : cgroups_(std::make_shared>()) { + RAY_LOG(INFO) << "FakeCgroupDriver(std::string base_cgroup)"; + cgroups_->emplace(base_cgroup, FakeCgroup{base_cgroup}); + } + FakeCgroupDriver(std::string base_cgroup, + std::vector processes_in_base_cgroup, + std::unordered_set available_controllers) + : cgroups_(std::make_shared>()) { + cgroups_->emplace(base_cgroup, + FakeCgroup{base_cgroup, + std::move(processes_in_base_cgroup), + {}, + std::move(available_controllers), + {}}); + } + + std::shared_ptr> cgroups_; + + Status check_cgroup_enabled_s_ = Status::OK(); + Status check_cgroup_s_ = Status::OK(); + Status create_cgroup_s_ = Status::OK(); + Status move_all_processes_s_ = Status::OK(); + Status enable_controller_s_ = Status::OK(); + Status disable_controller_s_ = Status::OK(); + Status add_constraint_s_ = Status::OK(); + Status available_controllers_s_ = Status::OK(); + Status enabled_controllers_s_ = Status::OK(); + + // These have no side-effects. + Status CheckCgroupv2Enabled() override { return check_cgroup_enabled_s_; } + Status CheckCgroup(const std::string &cgroup) override { return check_cgroup_s_; } + + // These have side-effects made visible through the cgroups_ map. + // All of them can be short-circuited by setting the corresponding + // status to not ok. + Status CreateCgroup(const std::string &cgroup) override { + RAY_LOG(INFO) << "CreateCgroup " << cgroup; + if (!create_cgroup_s_.ok()) { + return create_cgroup_s_; + } + cgroups_->emplace(cgroup, FakeCgroup{cgroup}); + return create_cgroup_s_; + } + + Status MoveAllProcesses(const std::string &from, const std::string &to) override { + if (!move_all_processes_s_.ok()) { + return move_all_processes_s_; + } + FakeCgroup &from_cgroup = (*cgroups_)[from]; + FakeCgroup &to_cgroup = (*cgroups_)[to]; + while (!from_cgroup.processes_.empty()) { + to_cgroup.processes_.emplace_back(from_cgroup.processes_.back()); + from_cgroup.processes_.pop_back(); + } + return move_all_processes_s_; + } + + Status EnableController(const std::string &cgroup, + const std::string &controller) override { + if (!enable_controller_s_.ok()) { + return enable_controller_s_; + } + (*cgroups_)[cgroup].enabled_controllers_.emplace(controller); + return enable_controller_s_; + } + + Status DisableController(const std::string &cgroup, + const std::string &controller) override { + if (!disable_controller_s_.ok()) { + return disable_controller_s_; + } + (*cgroups_)[cgroup].enabled_controllers_.erase(controller); + return disable_controller_s_; + } + + Status AddConstraint(const std::string &cgroup, + const std::string &constraint, + const std::string &value) override { + if (!add_constraint_s_.ok()) { + return add_constraint_s_; + } + (*cgroups_)[cgroup].constraints_.emplace_back(constraint, value); + return add_constraint_s_; + } + + StatusOr> GetAvailableControllers( + const std::string &cgroup) override { + if (!available_controllers_s_.ok()) { + return available_controllers_s_; + } + return (*cgroups_)[cgroup].available_controllers_; + } + + StatusOr> GetEnabledControllers( + const std::string &cgroup) override { + if (!enabled_controllers_s_.ok()) { + return enabled_controllers_s_; + } + return (*cgroups_)[cgroup].enabled_controllers_; + } +}; + +} // namespace ray diff --git a/src/ray/common/cgroup2/scoped_cgroup_operation.h b/src/ray/common/cgroup2/scoped_cgroup_operation.h new file mode 100644 index 000000000000..4f8f26992ab2 --- /dev/null +++ b/src/ray/common/cgroup2/scoped_cgroup_operation.h @@ -0,0 +1,54 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#pragma once + +#include + +namespace ray { + +/** + A simple RAII style guard that calls the registered callback on destruction. + ScopedCgroupOperation instances can be moved, but they cannot be copied. + + Usage: + ScopedCgroupOperation say_hello_on_death([]() { + RAY_INFO(INFO) << "Hi, I'm dying!"; + }); +*/ +class ScopedCgroupOperation { + public: + explicit ScopedCgroupOperation(std::function cleanup_fcn) + : cleanup_fcn_(std::move(cleanup_fcn)) {} + + ~ScopedCgroupOperation() { cleanup_fcn_(); } + + ScopedCgroupOperation(const ScopedCgroupOperation &) = delete; + ScopedCgroupOperation &operator=(const ScopedCgroupOperation &other) = delete; + + ScopedCgroupOperation(ScopedCgroupOperation &&other) noexcept + : cleanup_fcn_(std::move(other.cleanup_fcn_)) { + other.cleanup_fcn_ = []() {}; + } + + ScopedCgroupOperation &operator=(ScopedCgroupOperation &&other) noexcept { + cleanup_fcn_ = std::move(other.cleanup_fcn_); + other.cleanup_fcn_ = []() {}; + return *this; + } + + private: + // Defaults to no cleanup. + std::function cleanup_fcn_ = []() {}; +}; +} // namespace ray diff --git a/src/ray/common/cgroup2/tests/BUILD.bazel b/src/ray/common/cgroup2/tests/BUILD.bazel index e9d165d5d49c..06d0ca6d1221 100644 --- a/src/ray/common/cgroup2/tests/BUILD.bazel +++ b/src/ray/common/cgroup2/tests/BUILD.bazel @@ -20,3 +20,22 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "cgroup_manager_test", + srcs = ["cgroup_manager_test.cc"], + tags = [ + "cgroup", + "no_windows", + "team:core", + ], + deps = [ + "//src/ray/common:status", + "//src/ray/common:status_or", + "//src/ray/common/cgroup2:cgroup_driver_interface", + "//src/ray/common/cgroup2:cgroup_manager", + "//src/ray/common/cgroup2:fake_cgroup_driver", + "@com_google_absl//absl/strings:str_format", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc new file mode 100644 index 000000000000..1c7f5e154013 --- /dev/null +++ b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc @@ -0,0 +1,101 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/cgroup2/cgroup_manager.h" + +#include +#include +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/cgroup2/fake_cgroup_driver.h" +#include "ray/common/status.h" +namespace ray { + +TEST(CgroupManagerTest, CreateReturnsInvalidIfCgroupv2NotAvailable) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + driver->check_cgroup_enabled_s_ = Status::Invalid(""); + auto cgroup_manager_s = + CgroupManager::Create("/sys/fs/cgroup/ray", + "node_id_123", + 100, + 1000000, + std::unique_ptr(driver)); + ASSERT_TRUE(cgroup_manager_s.IsInvalid()) << cgroup_manager_s.ToString(); + // No visible side-effects + ASSERT_EQ(cgroups->size(), 1); + ASSERT_EQ(cgroups->begin()->second, base_cgroup); +} + +TEST(CgroupManagerTest, CreateReturnsNotFoundIfBaseCgroupDoesNotExist) { + std::shared_ptr> cgroups = + std::make_shared>(); + FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + driver->check_cgroup_s_ = Status::NotFound(""); + auto cgroup_manager_s = + CgroupManager::Create("/sys/fs/cgroup/ray", + "node_id_123", + 100, + 1000000, + std::unique_ptr(driver)); + ASSERT_TRUE(cgroup_manager_s.IsNotFound()) << cgroup_manager_s.ToString(); + // No visible side-effects + ASSERT_EQ(cgroups->size(), 0); +} + +TEST(CgroupManagerTest, + CreateReturnsNotFoundIfProcessDoesNotHavePermissionsForBaseCgroup) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + driver->check_cgroup_s_ = Status::PermissionDenied(""); + auto cgroup_manager_s = + CgroupManager::Create("/sys/fs/cgroup/ray", + "node_id_123", + 100, + 1000000, + std::unique_ptr(driver)); + ASSERT_TRUE(cgroup_manager_s.IsPermissionDenied()) << cgroup_manager_s.ToString(); + // No visible side-effects + ASSERT_EQ(cgroups->size(), 1); + ASSERT_EQ(cgroups->begin()->second, base_cgroup); +} + +TEST(CgroupManagerTest, CreateReturnsInvalidIfSupportedControllersAreNotAvailable) { + std::shared_ptr> cgroups = + std::make_shared>(); + // By default no controllers are available. + cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + auto cgroup_manager_s = + CgroupManager::Create("/sys/fs/cgroup", + "node_id_123", + 100, + 1000000, + std::unique_ptr(driver)); + ASSERT_TRUE(cgroup_manager_s.IsInvalid()) << cgroup_manager_s.ToString(); + // No visible side-effects + ASSERT_EQ(cgroups->size(), 1); + ASSERT_EQ(cgroups->begin()->second, base_cgroup); +} + +} // namespace ray diff --git a/src/ray/common/status_or.h b/src/ray/common/status_or.h index 2a94bb4bec99..12c7ed8f7b44 100644 --- a/src/ray/common/status_or.h +++ b/src/ray/common/status_or.h @@ -155,6 +155,7 @@ class StatusOr { bool IsNotFound() const { return code() == StatusCode::NotFound; } bool IsInvalidArgument() const { return code() == StatusCode::InvalidArgument; } + bool IsInvalid() const { return code() == StatusCode::Invalid; } bool IsPermissionDenied() const { return code() == StatusCode::PermissionDenied; } // Returns a reference to the current `ray::Status` contained within the From acd1b692aaf83d6a633258f41cd3657d36ceb4e1 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 02:30:47 +0800 Subject: [PATCH 1062/1566] [CORE][DOC] Fix grammar, spelling, and formatting issues in Ray Core documentation (#56278) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../patterns/concurrent-operations-async-actor.rst | 4 ++-- .../ray-core/patterns/fork-new-processes.rst | 14 +++++++------- .../ray-core/patterns/limit-pending-tasks.rst | 2 +- .../out-of-band-object-ref-serialization.rst | 10 +++++----- doc/source/ray-core/scheduling/accelerators.rst | 4 ++-- doc/source/ray-core/scheduling/index.rst | 2 +- doc/source/ray-core/scheduling/placement-group.rst | 2 +- 7 files changed, 19 insertions(+), 19 deletions(-) diff --git a/doc/source/ray-core/patterns/concurrent-operations-async-actor.rst b/doc/source/ray-core/patterns/concurrent-operations-async-actor.rst index 656c3215243d..fc8e897569c3 100644 --- a/doc/source/ray-core/patterns/concurrent-operations-async-actor.rst +++ b/doc/source/ray-core/patterns/concurrent-operations-async-actor.rst @@ -22,7 +22,7 @@ With the default actor, the code will look like this: :start-after: __sync_actor_start__ :end-before: __sync_actor_end__ -This is problematic because ``TaskExecutor.run`` method runs forever and never yield the control to run other methods. +This is problematic because ``TaskExecutor.run`` method runs forever and never yields control to run other methods. We can solve this problem by using :ref:`async actors ` and use ``await`` to yield control: .. literalinclude:: ../doc_code/pattern_async_actor.py @@ -30,4 +30,4 @@ We can solve this problem by using :ref:`async actors ` and use `` :start-after: __async_actor_start__ :end-before: __async_actor_end__ -Here, instead of using the blocking :func:`ray.get() ` to get the value of an ObjectRef, we use ``await`` so it can yield the control while we are waiting for the object to be fetched. +Here, instead of using the blocking :func:`ray.get() ` to get the value of an ObjectRef, we use ``await`` so it can yield control while we are waiting for the object to be fetched. diff --git a/doc/source/ray-core/patterns/fork-new-processes.rst b/doc/source/ray-core/patterns/fork-new-processes.rst index 0ef83b88d274..0323d906dced 100644 --- a/doc/source/ray-core/patterns/fork-new-processes.rst +++ b/doc/source/ray-core/patterns/fork-new-processes.rst @@ -3,21 +3,21 @@ Anti-pattern: Forking new processes in application code ======================================================== -**Summary:** Don't fork new processes in Ray application code-for example, in -driver, tasks or actors. Instead, use "spawn" method to start new processes or use Ray +**Summary:** Don't fork new processes in Ray application code—for example, in +driver, tasks or actors. Instead, use the "spawn" method to start new processes or use Ray tasks and actors to parallelize your workload Ray manages the lifecycle of processes for you. Ray Objects, Tasks, and -Actors manages sockets to communicate with the Raylet and the GCS. If you fork new +Actors manage sockets to communicate with the Raylet and the GCS. If you fork new processes in your application code, the processes could share the same sockets without -any synchronization. This can lead to corrupted message and unexpected +any synchronization. This can lead to corrupted messages and unexpected behavior. The solution is to: -1. use "spawn" method to start new processes so that parent process's -memory space isn't copied to the child processes or +1. use the "spawn" method to start new processes so that the parent process's +memory space is not copied to the child processes or 2. use Ray tasks and -actors to parallelize your workload and let Ray to manage the lifecycle of the +actors to parallelize your workload and let Ray manage the lifecycle of the processes for you. Code example diff --git a/doc/source/ray-core/patterns/limit-pending-tasks.rst b/doc/source/ray-core/patterns/limit-pending-tasks.rst index 8a266990c4d4..6bdac69273aa 100644 --- a/doc/source/ray-core/patterns/limit-pending-tasks.rst +++ b/doc/source/ray-core/patterns/limit-pending-tasks.rst @@ -22,7 +22,7 @@ With ``ray.wait()``, we can apply backpressure and limit the number of pending t Example use case ---------------- -You have a worker actor that process tasks at a rate of X tasks per second and you want to submit tasks to it at a rate lower than X to avoid OOM. +You have a worker actor that processes tasks at a rate of X tasks per second and you want to submit tasks to it at a rate lower than X to avoid OOM. For example, Ray Serve uses this pattern to limit the number of pending queries for each worker. diff --git a/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst b/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst index 4b87f16d68fb..6a24ea50b1aa 100644 --- a/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst +++ b/doc/source/ray-core/patterns/out-of-band-object-ref-serialization.rst @@ -6,14 +6,14 @@ Anti-pattern: Serialize ray.ObjectRef out of band **TLDR:** Avoid serializing ``ray.ObjectRef`` because Ray can't know when to garbage collect the underlying object. Ray's ``ray.ObjectRef`` is distributed reference counted. Ray pins the underlying object until the reference isn't used by the system anymore. -When all references are the pinned object gone, Ray garbage collects the pinned object and cleans it up from the system. -However, if user code serializes ``ray.objectRef``, Ray can't keep track of the reference. +When all references to the pinned object are gone, Ray garbage collects the pinned object and cleans it up from the system. +However, if user code serializes ``ray.ObjectRef``, Ray can't keep track of the reference. -To avoid incorrect behavior, if ``ray.cloudpickle`` serializes``ray.ObjectRef``, Ray pins the object for the lifetime of a worker. "Pin" means that object can't be evicted from the object store -until the corresponding owner worker dies. It's prone to Ray object leaks, which can lead disk spilling. See :ref:`this page ` for more details. +To avoid incorrect behavior, if ``ray.cloudpickle`` serializes ``ray.ObjectRef``, Ray pins the object for the lifetime of a worker. "Pin" means that object can't be evicted from the object store +until the corresponding owner worker dies. It's prone to Ray object leaks, which can lead to disk spilling. See :ref:`this page ` for more details. To detect if this pattern exists in your code, you can set an environment variable ``RAY_allow_out_of_band_object_ref_serialization=0``. If Ray detects -that ``ray.cloudpickle`` serialized``ray.ObjectRef``, it raises an exception with helpful messages. +that ``ray.cloudpickle`` serialized ``ray.ObjectRef``, it raises an exception with helpful messages. Code example ------------ diff --git a/doc/source/ray-core/scheduling/accelerators.rst b/doc/source/ray-core/scheduling/accelerators.rst index 707b5b75a053..47ef5cd80e6e 100644 --- a/doc/source/ray-core/scheduling/accelerators.rst +++ b/doc/source/ray-core/scheduling/accelerators.rst @@ -84,11 +84,11 @@ If you need to, you can :ref:`override ` this. .. tip:: You can set the ``NEURON_RT_VISIBLE_CORES`` environment variable before starting a Ray node - to limit the AWS Neuro Cores that are visible to Ray. + to limit the AWS Neuron Cores that are visible to Ray. For example, ``NEURON_RT_VISIBLE_CORES=1,3 ray start --head --resources='{"neuron_cores": 2}'`` lets Ray only see devices 1 and 3. - See the `Amazon documentation` for more examples of Ray on Neuron with EKS as an orchestration substrate. + See the `Amazon documentation `_ for more examples of Ray on Neuron with EKS as an orchestration substrate. .. tab-item:: Google TPU :sync: Google TPU diff --git a/doc/source/ray-core/scheduling/index.rst b/doc/source/ray-core/scheduling/index.rst index f4e2ddaac9c5..77fb5671b138 100644 --- a/doc/source/ray-core/scheduling/index.rst +++ b/doc/source/ray-core/scheduling/index.rst @@ -34,7 +34,7 @@ Given that, a node can be in one of the following states: - Infeasible: the node doesn't have the required resources. For example a CPU-only node is infeasible for a GPU task. Resource requirements are **hard** requirements meaning that only feasible nodes are eligible to run the task or actor. -If there are feasible nodes, Ray will either choose an available node or wait until a unavailable node to become available +If there are feasible nodes, Ray will either choose an available node or wait until an unavailable node to become available depending on other factors discussed below. If all nodes are infeasible, the task or actor cannot be scheduled until feasible nodes are added to the cluster. diff --git a/doc/source/ray-core/scheduling/placement-group.rst b/doc/source/ray-core/scheduling/placement-group.rst index beb00ee77cca..5a4245eeb005 100644 --- a/doc/source/ray-core/scheduling/placement-group.rst +++ b/doc/source/ray-core/scheduling/placement-group.rst @@ -37,7 +37,7 @@ Create a Placement Group (Reserve Resources) You can create a placement group using :func:`ray.util.placement_group`. Placement groups take in a list of bundles and a :ref:`placement strategy `. Note that each bundle must be able to fit on a single node on the Ray cluster. -For example, if you only have a 8 CPU node, and if you have a bundle that requires ``{"CPU": 9}``, +For example, if you only have an 8 CPU node, and if you have a bundle that requires ``{"CPU": 9}``, this bundle cannot be scheduled. Bundles are specified by a list of dictionaries, e.g., ``[{"CPU": 1}, {"CPU": 1, "GPU": 1}]``). From 0db4809a06cd7da5226c85f49540327a11980498 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 02:39:49 +0800 Subject: [PATCH 1063/1566] [CORE][DOC] Fix typos and grammatical issues in Ray Core documentation (#56279) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR systematically reviews and fixes typos, grammatical errors, and syntax issues across all 21 `.rst` files in the `doc/source/ray-core/` directory. The changes are minimal and surgical, preserving the original intent and voice of the documentation while improving clarity and correctness. ## Issues Fixed ### Grammatical Errors - **configure.rst**: Fixed "various way" → "various ways" and improved consistency with "Look" → "See" - **cross-language.rst**: Fixed capitalization "ray call" → "Ray calls" - **ray-generator.rst**: Fixed article error "the an application" → "an application" - **user-spawn-processes.rst**: Fixed verb agreement "spawns" → "spawn" ### Typos - **handling-dependencies.rst**: - Fixed "what to compress" → "want to compress" - Fixed repository name typo "example_respository" → "example_repository" ### Syntax Issues - **actors.rst**: Fixed reference link spacing in async actors section - **fault-tolerance.rst**: Fixed missing underscore in code marker `_node_affinity_scheduling_strategy_start__` → `__node_affinity_scheduling_strategy_start__` - **namespaces.rst**: - Fixed C++ code block syntax `.. code-block::` → `.. code-block:: c++` - Removed stray backtick at end of code line ## Files Reviewed All 21 `.rst` files were manually reviewed following a systematic methodology to check for: - reStructuredText syntax errors - Grammatical issues (subject-verb agreement, tense consistency, article usage) - Spelling and typos - Technical content accuracy - Style and formatting consistency ## Impact These changes improve the overall quality and professionalism of the Ray Core documentation without altering any functional content or breaking existing links. The documentation now has better readability and fewer distractions from minor errors. --------- Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/actors.rst | 2 +- doc/source/ray-core/configure.rst | 4 ++-- doc/source/ray-core/cross-language.rst | 2 +- doc/source/ray-core/fault-tolerance.rst | 2 +- doc/source/ray-core/handling-dependencies.rst | 4 ++-- doc/source/ray-core/namespaces.rst | 6 +++--- doc/source/ray-core/ray-generator.rst | 2 +- doc/source/ray-core/user-spawn-processes.rst | 2 +- 8 files changed, 12 insertions(+), 12 deletions(-) diff --git a/doc/source/ray-core/actors.rst b/doc/source/ray-core/actors.rst index ebbabda54342..50add30ab2c5 100644 --- a/doc/source/ray-core/actors.rst +++ b/doc/source/ray-core/actors.rst @@ -412,7 +412,7 @@ For tasks classified as a single-threaded Actor or a multi-threaded Actor, Ray offers no mechanism for interruption. **Running async actor tasks**: -For Tasks classified as `async Actors <_async-actors>`, Ray seeks to cancel the associated `asyncio.Task`. +For Tasks classified as :ref:`async Actors `, Ray seeks to cancel the associated `asyncio.Task`. This cancellation approach aligns with the standards presented in `asyncio task cancellation `__. Note that `asyncio.Task` won't be interrupted in the middle of execution if you don't `await` within the async function. diff --git a/doc/source/ray-core/configure.rst b/doc/source/ray-core/configure.rst index 85a960fee13c..060ec42eb79c 100644 --- a/doc/source/ray-core/configure.rst +++ b/doc/source/ray-core/configure.rst @@ -5,7 +5,7 @@ Configuring Ray .. note:: For running Java applications, see `Java Applications`_. -This page discusses the various way to configure Ray, both from the Python API +This page discusses the various ways to configure Ray, both from the Python API and from the command line. Take a look at the ``ray.init`` `documentation `__ for a complete overview of the configurations. @@ -96,7 +96,7 @@ Change the *root temporary directory* by passing ``--temp-dir={your temp path}`` There currently isn't a stable way to change the root temporary directory when calling ``ray.init()``, but if you need to, you can provide the ``_temp_dir`` argument to ``ray.init()``. -Look :ref:`Logging Directory Structure ` for more details. +See :ref:`Logging Directory Structure ` for more details. .. _ray-ports: diff --git a/doc/source/ray-core/cross-language.rst b/doc/source/ray-core/cross-language.rst index bde0c2a50cfc..c2bf5dba990c 100644 --- a/doc/source/ray-core/cross-language.rst +++ b/doc/source/ray-core/cross-language.rst @@ -148,7 +148,7 @@ from the preceding Python class. Cross-language data serialization --------------------------------- -Ray automatically serializes and deserializes the arguments and return values of ray call +Ray automatically serializes and deserializes the arguments and return values of Ray calls if their types are the following: - Primitive data types diff --git a/doc/source/ray-core/fault-tolerance.rst b/doc/source/ray-core/fault-tolerance.rst index d9f9f329e0b6..4de1bab34677 100644 --- a/doc/source/ray-core/fault-tolerance.rst +++ b/doc/source/ray-core/fault-tolerance.rst @@ -69,7 +69,7 @@ It allows you to specify the affinity as a soft constraint so even if the target .. literalinclude:: doc_code/fault_tolerance_tips.py :language: python - :start-after: _node_affinity_scheduling_strategy_start__ + :start-after: __node_affinity_scheduling_strategy_start__ :end-before: __node_affinity_scheduling_strategy_end__ diff --git a/doc/source/ray-core/handling-dependencies.rst b/doc/source/ray-core/handling-dependencies.rst index 272cb5aebe36..993ac51ff644 100644 --- a/doc/source/ray-core/handling-dependencies.rst +++ b/doc/source/ray-core/handling-dependencies.rst @@ -847,7 +847,7 @@ Your ``runtime_env`` dictionary should contain: Check for hidden files and metadata directories in zipped dependencies. You can inspect a zip file's contents by running the ``zipinfo -1 zip_file_name.zip`` command in the Terminal. Some zipping methods can cause hidden files or metadata directories to appear in the zip file at the top level. - To avoid this, use the ``zip -r`` command directly on the directory you want to compress from its parent's directory. For example, if you have a directory structure such as: ``a/b`` and you what to compress ``b``, issue the ``zip -r b`` command from the directory ``a.`` + To avoid this, use the ``zip -r`` command directly on the directory you want to compress from its parent's directory. For example, if you have a directory structure such as: ``a/b`` and you want to compress ``b``, issue the ``zip -r b`` command from the directory ``a.`` If Ray detects more than a single directory at the top level, it will use the entire zip file instead of the top-level directory, which may lead to unexpected behavior. Currently, four types of remote URIs are supported for hosting ``working_dir`` and ``py_modules`` packages: @@ -859,7 +859,7 @@ Currently, four types of remote URIs are supported for hosting ``working_dir`` a - Example: - - ``runtime_env = {"working_dir": "https://github.com/example_username/example_respository/archive/HEAD.zip"}`` + - ``runtime_env = {"working_dir": "https://github.com/example_username/example_repository/archive/HEAD.zip"}`` - ``S3``: ``S3`` refers to URIs starting with ``s3://`` that point to compressed packages stored in `AWS S3 `_. To use packages via ``S3`` URIs, you must have the ``smart_open`` and ``boto3`` libraries (you can install them using ``pip install smart_open`` and ``pip install boto3``). diff --git a/doc/source/ray-core/namespaces.rst b/doc/source/ray-core/namespaces.rst index 6a502534bda2..8f0c1a6ab70c 100644 --- a/doc/source/ray-core/namespaces.rst +++ b/doc/source/ray-core/namespaces.rst @@ -161,7 +161,7 @@ the specified namespace, no matter what namespace of the current job is. .. tab-item:: C++ - .. code-block:: + .. code-block:: c++ // `ray start --head` has been run to launch a local cluster. ray::RayConfig config; @@ -169,8 +169,8 @@ the specified namespace, no matter what namespace of the current job is. // Create an actor with specified namespace. ray::Actor(RAY_FUNC(Counter::FactoryCreate)).SetName("my_actor", "actor_namespace").Remote(); // It is accessible in its namespace. - ray::GetActor("orange"); - ray::Shutdown();` + ray::GetActor("my_actor", "actor_namespace"); + ray::Shutdown(); Anonymous namespaces diff --git a/doc/source/ray-core/ray-generator.rst b/doc/source/ray-core/ray-generator.rst index da81bc22f7ca..6aba716d4834 100644 --- a/doc/source/ray-core/ray-generator.rst +++ b/doc/source/ray-core/ray-generator.rst @@ -97,7 +97,7 @@ Ray raises the exception. :start-after: __streaming_generator_exception_start__ :end-before: __streaming_generator_exception_end__ -In the above example, if the an application fails the task, Ray returns the object reference with an exception +In the above example, if an application fails the task, Ray returns the object reference with an exception in a correct order. For example, if Ray raises the exception after the second yield, the third ``next(gen)`` returns an object reference with an exception all the time. If a system error fails the task, (e.g., a node failure or worker process failure), ``next(gen)`` returns the object reference that contains the system level exception diff --git a/doc/source/ray-core/user-spawn-processes.rst b/doc/source/ray-core/user-spawn-processes.rst index 1302f0a7b16a..af9dd7b0d072 100644 --- a/doc/source/ray-core/user-spawn-processes.rst +++ b/doc/source/ray-core/user-spawn-processes.rst @@ -1,7 +1,7 @@ Lifetimes of a User-Spawn Process ================================= -When you spawns child processes from Ray workers, you are responsible for managing the lifetime of child processes. However, it is not always possible, especially when worker crashes and child processes are spawned from libraries (torch dataloader). +When you spawn child processes from Ray workers, you are responsible for managing the lifetime of child processes. However, it is not always possible, especially when worker crashes and child processes are spawned from libraries (torch dataloader). To avoid leaking user-spawned processes, Ray provides mechanisms to kill all user-spawned processes when a worker that starts it exits. This feature prevents GPU memory leaks from child processes (e.g., torch). From cab9d8ae103b3e97c4e5f3a028d9083c04f03f80 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 5 Sep 2025 11:58:00 -0700 Subject: [PATCH 1064/1566] [ci] raydepsets: single depset compilation with dependencies (#56263) Raydepsets has a single depset compilation mode which compiles ONLY the depset referenced by name In some cases depsets have dependencies (ex. expand and subset depend on source depsets) To allow for the depset dependencies to be compiled: Subset the build graph by including the user specified target depset and all ancestors execute all of the depsets in build graph order Added unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 19 +++++++++++++------ ci/raydepsets/tests/test_cli.py | 18 ++++++++++++++++++ 2 files changed, 31 insertions(+), 6 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index f7aa52c316f5..77733f025943 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -5,7 +5,7 @@ import click import runfiles -from networkx import DiGraph, topological_sort +from networkx import DiGraph, topological_sort, ancestors as networkx_ancestors from ci.raydepsets.workspace import Depset, Workspace @@ -60,10 +60,7 @@ def build( workspace_dir=workspace_dir, uv_cache_dir=uv_cache_dir, ) - if name: - manager.execute_single(_get_depset(manager.config.depsets, name)) - else: - manager.execute() + manager.execute(name) class DependencySetManager: @@ -100,7 +97,17 @@ def _build(self): else: raise ValueError(f"Invalid operation: {depset.operation}") - def execute(self): + def subgraph_dependency_nodes(self, depset_name: str): + dependency_nodes = networkx_ancestors(self.build_graph, depset_name) + nodes = dependency_nodes | {depset_name} + self.build_graph = self.build_graph.subgraph(nodes).copy() + + def execute(self, single_depset_name: Optional[str] = None): + if single_depset_name: + # check if the depset exists + _get_depset(self.config.depsets, single_depset_name) + self.subgraph_dependency_nodes(single_depset_name) + for node in topological_sort(self.build_graph): depset = self.build_graph.nodes[node]["depset"] self.execute_single(depset) diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index dc57eda57e52..4a7fa2d5237b 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -437,6 +437,24 @@ def test_execute(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) + def test_execute_single_depset(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.execute(single_depset_name="general_depset__py311_cpu") + assert ( + manager.build_graph.nodes["general_depset__py311_cpu"]["operation"] + == "compile" + ) + assert len(manager.build_graph.nodes()) == 1 + + def test_execute_single_depset_that_does_not_exist(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + with self.assertRaises(KeyError): + manager.execute(single_depset_name="fake_depset") + def test_expand(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) From dd0c94a19b620cbd86d0439f9892b222a1773a53 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Sat, 6 Sep 2025 03:48:33 +0800 Subject: [PATCH 1065/1566] [core][gpu-objects] Add warning when GPU object refs passed back to the same actor (#55639) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Closes #55511 Below is my complete test script. ```python import ray import torch from ray.experimental.collective import create_collective_group @ray.remote(enable_tensor_transport=True) class Actor: def __init__(self): self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") @ray.method(tensor_transport="gloo") def tensor(self): return torch.zeros(1, device=self.device) def increment(self, t): t = t + 1 return t a = Actor.remote() b = Actor.remote() create_collective_group([a, b], backend="torch_gloo") t = a.tensor.remote() t1 = a.increment.remote(t) t2 = b.increment.remote(t) result1, result2 = ray.get([t1, t2]) try: assert torch.allclose(result1, result2), "The two tensor results are not equal" print("Assertion passed: The values of t1 and t2 are equal") except AssertionError as e: print(f"Assertion failed: {e}") ray.shutdown() ``` Log： image --------- Signed-off-by: daiping8 Signed-off-by: Ping Dai Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Stephanie Wang Signed-off-by: Douglas Strodtman --- .../gpu_object_manager/gpu_object_manager.py | 38 +++++++++++++++++-- .../gpu_objects/test_gpu_objects_gloo.py | 24 ++++++++++++ 2 files changed, 59 insertions(+), 3 deletions(-) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 5ce2a345b225..87d089880a98 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -1,4 +1,5 @@ -from typing import TYPE_CHECKING, Any, Dict, NamedTuple, Optional, Tuple, List +import warnings +from typing import TYPE_CHECKING, Any, Dict, NamedTuple, Optional, Tuple, List, Set import threading import ray @@ -14,7 +15,7 @@ import torch # GPUObjectMeta is a named tuple containing the source actor, tensor transport -# backend, and tensor metadata. +# backend, tensor metadata, and other information that needs to be recorded. # - The tensor transport backend is the backend used to transport the tensors. # Currently, the supported backends are "nccl" and "torch_gloo". # - The tensor metadata is a list of tuples, each containing the shape and dtype @@ -25,6 +26,10 @@ class GPUObjectMeta(NamedTuple): # `ray.util.collective.types.Backend`. tensor_transport_backend: str tensor_transport_meta: "TensorTransportMetadata" + # sent_dest_actors tracks the set of actor IDs that this object has been sent to. + sent_dest_actors: Set[str] + # sent_to_src_actor_and_others_warned indicates whether the object has already triggered a warning about being sent back to the source actor and other actors simultaneously. + sent_to_src_actor_and_others_warned: bool # TODO(swang): Uncomment and add an API docs page and example usage. @@ -124,6 +129,8 @@ def add_gpu_object_ref( src_actor=src_actor, tensor_transport_backend=tensor_transport_backend, tensor_transport_meta=tensor_meta, + sent_dest_actors=set(), + sent_to_src_actor_and_others_warned=False, ) def _get_gpu_object_metadata(self, obj_ref: ObjectRef) -> GPUObjectMeta: @@ -203,13 +210,38 @@ def trigger_out_of_band_tensor_transfer( src_actor = gpu_object_meta.src_actor tensor_transport_meta = gpu_object_meta.tensor_transport_meta + + obj_id = obj_ref.hex() + + # Update the set of destination actors for this object + # The set inside NamedTuple is mutable, so we can modify it directly + gpu_object_meta.sent_dest_actors.add(dst_actor._actor_id) + # Check if a warning should be triggered for this object: + # 1. object has not triggered a warning yet. + # 2. object is sent back to its source actor. + # 3. object is also sent to at least one other actor + if ( + not gpu_object_meta.sent_to_src_actor_and_others_warned + and src_actor._actor_id in gpu_object_meta.sent_dest_actors + and len(gpu_object_meta.sent_dest_actors) > 1 + ): + warnings.warn( + f"GPU ObjectRef({obj_id}) is being passed back to the actor that created it {src_actor}. " + "Note that GPU objects are mutable. If the tensor is modified, Ray's internal copy will also be updated, and subsequent passes to other actors " + "will receive the updated version instead of the original.", + UserWarning, + ) + # Mark the object as warned by creating a new NamedTuple instance + self.managed_gpu_object_metadata[obj_id] = gpu_object_meta._replace( + sent_to_src_actor_and_others_warned=True + ) + if src_actor._actor_id == dst_actor._actor_id: # If the source and destination actors are the same, the tensors can # be transferred intra-process, so we skip the out-of-band tensor # transfer. continue - obj_id = obj_ref.hex() tensor_transport_manager = get_tensor_transport_manager( gpu_object_meta.tensor_transport_backend ) diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index 7ad5a4a3081d..0d17c4c76c91 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -836,6 +836,30 @@ def gc(obj_id): assert not gpu_object_store.has_object(obj_id2) +def test_send_back_and_dst_warning(ray_start_regular): + # Test warning when object is sent back to the src actor and to dst actors + world_size = 2 + actors = [GPUTestActor.remote() for _ in range(world_size)] + create_collective_group(actors, backend="torch_gloo") + + src_actor, dst_actor = actors[0], actors[1] + + tensor = torch.tensor([1, 2, 3]) + + warning_message = r"GPU ObjectRef\(.+\)" + + with pytest.warns(UserWarning, match=warning_message): + t = src_actor.echo.remote(tensor) + t1 = src_actor.echo.remote(t) # Sent back to the source actor + t2 = dst_actor.echo.remote(t) # Also sent to another actor + ray.get([t1, t2]) + + # Second transmission of ObjectRef `t` to `dst_actor` should not trigger a warning + # Verify no `pytest.warns` context is used here because no warning should be raised + t3 = dst_actor.echo.remote(t) + ray.get(t3) + + def test_duplicate_objectref_transfer(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] From e394f75e8a9e79d08d88e88d466fc4a991b5a446 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Fri, 5 Sep 2025 14:42:30 -0700 Subject: [PATCH 1066/1566] [Data] Bump test_json timeout (#56267) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? [Data] Bump test_json timeout Bump up test_json timeout to 6 minutes. In 3 minutes, it got 2/3rd of the way. https://buildkite.com/anyscale/rayturbo/builds/6172#0199175c-50ee-4076-a0dc-a6da0b207ecc ``` [2025-09-05T01:43:06Z] ================================================================================   | [2025-09-05T01:43:06Z] ==================== Test output for //python/ray/data:test_json:   | [2025-09-05T01:43:06Z] /opt/miniforge/lib/python3.9/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.   | [2025-09-05T01:43:06Z] "cipher": algorithms.TripleDES,   | [2025-09-05T01:43:06Z] /opt/miniforge/lib/python3.9/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.   | [2025-09-05T01:43:06Z] "class": algorithms.TripleDES,   | [2025-09-05T01:43:06Z] ============================= test session starts ==============================   | [2025-09-05T01:43:06Z] platform linux -- Python 3.9.23, pytest-7.4.4, pluggy-1.3.0 -- /opt/miniforge/bin/python3   | [2025-09-05T01:43:06Z] cachedir: .pytest_cache   | [2025-09-05T01:43:06Z] rootdir: /root/.cache/bazel/_bazel_root/1df605deb6d24fc8068f6e25793ec703/execroot/io_ray   | [2025-09-05T01:43:06Z] configfile: pytest.ini   | [2025-09-05T01:43:06Z] plugins: repeat-0.9.3, anyio-3.7.1, fugue-0.8.7, aiohttp-1.1.0, asyncio-0.17.2, docker-tools-3.1.3, forked-1.4.0, pytest_httpserver-1.1.3, lazy-fixtures-1.1.2, mock-3.14.0, remotedata-0.3.2, rerunfailures-11.1.2, shutil-1.8.1, sphinx-0.5.1.dev0, sugar-0.9.5, timeout-2.1.0, virtualenv-1.8.1, typeguard-2.13.3   | [2025-09-05T01:43:06Z] asyncio: mode=auto   | [2025-09-05T01:43:06Z] timeout: 180.0s   | [2025-09-05T01:43:06Z] timeout method: signal   | [2025-09-05T01:43:06Z] timeout func_only: False   | [2025-09-05T01:43:06Z] collecting ... collected 102 items   | [2025-09-05T01:43:06Z]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_partitioning[None] PASSED [ 0%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_partitioning[134217728] PASSED [ 1%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read[None-None-local_path-None] PASSED [ 2%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read[None-local_fs-local_path-None] PASSED [ 3%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read[None-s3_fs-s3_path-s3_server] PASSED [ 4%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read[134217728-None-local_path-None] PASSED [ 5%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read[134217728-local_fs-local_path-None] PASSED [ 6%]   | [2025-09-05T01:43:06Z] 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python/ray/data/tests/test_json.py::test_read_json_fallback_from_pyarrow_failure[134217728] PASSED [ 15%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[None-None-local_path-None] PASSED [ 16%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[None-local_fs-local_path-None] PASSED [ 17%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[None-s3_fs-s3_path-s3_server] PASSED [ 18%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[134217728-None-local_path-None] PASSED [ 19%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[134217728-local_fs-local_path-None] PASSED [ 20%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_meta_provider[134217728-s3_fs-s3_path-s3_server] PASSED [ 21%]   | [2025-09-05T01:43:06Z] 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python/ray/data/tests/test_json.py::test_json_read_partitioned_with_filter[134217728-hive-s3_fs-s3_path-s3_server] PASSED [ 42%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_partitioned_with_filter[134217728-dir-None-local_path-None] PASSED [ 43%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_partitioned_with_filter[134217728-dir-local_fs-local_path-None] PASSED [ 44%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_partitioned_with_filter[134217728-dir-s3_fs-s3_path-s3_server] PASSED [ 45%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[None-None] PASSED [ 46%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[None-1] PASSED [ 47%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[None-3] PASSED [ 48%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[134217728-None] PASSED [ 49%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[134217728-1] PASSED [ 50%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_lists[134217728-3] PASSED [ 50%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_mixed_types[None] PASSED [ 51%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_jsonl_mixed_types[134217728] PASSED [ 52%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_write[None] PASSED [ 53%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_write[134217728] PASSED [ 54%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_roundtrip[None-None] PASSED [ 55%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_roundtrip[None-2] PASSED [ 56%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_roundtrip[134217728-None] PASSED [ 57%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_roundtrip[134217728-2] PASSED [ 58%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[None-None-local_path-None] PASSED [ 59%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[None-local_fs-local_path-None] PASSED [ 60%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[None-s3_fs-s3_path-s3_server] PASSED [ 61%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[134217728-None-local_path-None] PASSED [ 62%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[134217728-local_fs-local_path-None] PASSED [ 63%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_small_file_unit_block_size[134217728-s3_fs-s3_path-s3_server] PASSED [ 64%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_file_larger_than_block_size[None-None-local_path-None] PASSED [ 65%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_file_larger_than_block_size[None-local_fs-local_path-None] FAILED [ 66%]   | [2025-09-05T01:43:06Z] python/ray/data/tests/test_json.py::test_json_read_file_larger_than_block_size[None-s3_fs-s3_path-s3_server] -- Test timed out at 2025-09-05 01:43:03 UTC --   | [2025-09-05T01:43:06Z] ================================================================================   |   ``` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_json.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index 891f88ca46ea..7f5364a0f2b7 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -31,6 +31,9 @@ from ray.data.tests.test_partitioning import PathPartitionEncoder from ray.tests.conftest import * # noqa +# Set the test timeout to 6 minutes +pytestmark = pytest.mark.timeout(360) + def test_json_read_partitioning( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default From 7433c6a67de394ed76791edefd6b78e09e2fa817 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 05:49:54 +0800 Subject: [PATCH 1067/1566] [DOC] Fix grammar, syntax, and formatting issues in ray-more-libs documentation (#56068) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-more-libs/dask-on-ray.rst | 4 ++-- .../data_juicer_distributed_data_processing.md | 14 +++++++------- doc/source/ray-more-libs/joblib.rst | 4 ++-- doc/source/ray-more-libs/mars-on-ray.rst | 12 +++++++----- doc/source/ray-more-libs/modin/index.rst | 8 ++++---- doc/source/ray-more-libs/multiprocessing.rst | 2 +- doc/source/ray-more-libs/ray-collective.rst | 8 ++++---- doc/source/ray-more-libs/raydp.rst | 8 ++++---- 8 files changed, 31 insertions(+), 29 deletions(-) diff --git a/doc/source/ray-more-libs/dask-on-ray.rst b/doc/source/ray-more-libs/dask-on-ray.rst index 64dc2cdb6a5a..4bd68bce4abd 100644 --- a/doc/source/ray-more-libs/dask-on-ray.rst +++ b/doc/source/ray-more-libs/dask-on-ray.rst @@ -118,13 +118,13 @@ Best Practice for Large Scale workloads For Ray 1.3, the default scheduling policy is to pack tasks to the same node as much as possible. It is more desirable to spread tasks if you run a large scale / memory intensive Dask on Ray workloads. -In this case, there are two recommended setup. +In this case, there are two recommended setups. - Reducing the config flag `scheduler_spread_threshold` to tell the scheduler to prefer spreading tasks across the cluster instead of packing. - Setting the head node's `num-cpus` to 0 so that tasks are not scheduled on a head node. .. code-block:: bash - # Head node. Set `num_cpus=0` to avoid tasks are being scheduled on a head node. + # Head node. Set `num_cpus=0` to avoid tasks being scheduled on a head node. RAY_scheduler_spread_threshold=0.0 ray start --head --num-cpus=0 # Worker node. diff --git a/doc/source/ray-more-libs/data_juicer_distributed_data_processing.md b/doc/source/ray-more-libs/data_juicer_distributed_data_processing.md index 926368ffa65d..f48238127a7f 100644 --- a/doc/source/ray-more-libs/data_juicer_distributed_data_processing.md +++ b/doc/source/ray-more-libs/data_juicer_distributed_data_processing.md @@ -18,12 +18,12 @@ See the [Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Mo ### Ray mode in Data-Juicer -- For most implementations of Data-Juicer [operators](https://github.com/modelscope/data-juicer/blob/main/docs/Operators.md), the core processing functions are engine-agnostic. Operators manage interoperability is primarily in [RayDataset](https://github.com/modelscope/data-juicer/blob/main/data_juicer/core/data/ray_dataset.py) and [RayExecutor](https://github.com/modelscope/data-juicer/blob/main/data_juicer/core/executor/ray_executor.py), which are subclasses of the base `DJDataset` and `BaseExecutor`, respectively, and support both Ray [Tasks](ray-remote-functions) and [Actors](actor-guide). -- The exception is the deduplication operators, which are challenging to scale in standalone mode. The names of these operators follow the pattern of [`ray_xx_deduplicator`](https://github.com/modelscope/data-juicer/blob/main//data_juicer/ops/deduplicator/). +- For most implementations of Data-Juicer [operators](https://github.com/modelscope/data-juicer/blob/main/docs/Operators.md), the core processing functions are engine-agnostic. Operator interoperability is managed primarily in [RayDataset](https://github.com/modelscope/data-juicer/blob/main/data_juicer/core/data/ray_dataset.py) and [RayExecutor](https://github.com/modelscope/data-juicer/blob/main/data_juicer/core/executor/ray_executor.py), which are subclasses of the base `DJDataset` and `BaseExecutor`, respectively, and support both Ray [Tasks](ray-remote-functions) and [Actors](actor-guide). +- The exception is the deduplication operators, which are challenging to scale in standalone mode. The names of these operators follow the pattern of [`ray_xx_deduplicator`](https://github.com/modelscope/data-juicer/blob/main/data_juicer/ops/deduplicator/). ### Subset splitting -When a cluster has tens of thousands of nodes but only a few dataset files, Ray splits the dataset files according to available resources and distribute the blocks across all nodes, incurring high network communication costs and reduced CPU utilization. For more details, see [Ray's `_autodetect_parallelism` function](https://github.com/ray-project/ray/blob/2dbd08a46f7f08ea614d8dd20fd0bca5682a3078/python/ray/data/_internal/util.py#L201-L205) and [tuning output blocks for Ray](read_output_blocks). +When a cluster has tens of thousands of nodes but only a few dataset files, Ray splits the dataset files according to available resources and distributes the blocks across all nodes, incurring high network communication costs and reducing CPU utilization. For more details, see [Ray's `_autodetect_parallelism` function](https://github.com/ray-project/ray/blob/2dbd08a46f7f08ea614d8dd20fd0bca5682a3078/python/ray/data/_internal/util.py#L201-L205) and [tuning output blocks for Ray](read_output_blocks). This default execution plan can be quite inefficient especially for scenarios with a large number of nodes. To optimize performance for such cases, Data-Juicer automatically splits the original dataset into smaller files in advance, taking into consideration the features of Ray and Arrow. When you encounter such performance issues, you can use this feature or split the dataset according to your own preferences. In this auto-split strategy, the single file size is about 128 MB, and the result should ensure that the number of sub-files after splitting is at least twice the total number of CPU cores available in the cluster. @@ -93,7 +93,7 @@ demos/process_on_ray ### Running Example of Ray Mode -In the `demo.yaml` config file, it sets the executor type to "ray" and specify an automatic Ray address. +In the `demo.yaml` config file, it sets the executor type to "ray" and specifies an automatic Ray address. ```yaml ... @@ -115,11 +115,11 @@ python tools/process_data.py --config demos/process_on_ray/configs/demo.yaml dj-process --config demos/process_on_ray/configs/demo.yaml ``` -Data-Juicer processes the demo dataset with the demo config file and export the result datasets to the directory specified by the `export_path` argument in the config file. +Data-Juicer processes the demo dataset with the demo config file and exports the result datasets to the directory specified by the `export_path` argument in the config file. ### Running Example of Distributed Deduplication -In the `dedup.yaml` config file, it sets the executor type to "ray" and specify an automatic Ray address. +In the `dedup.yaml` config file, it sets the executor type to "ray" and specifies an automatic Ray address. And it uses a dedicated distributed version of MinHash deduplication operator to deduplicate the dataset. ```yaml @@ -147,4 +147,4 @@ python tools/process_data.py --config demos/process_on_ray/configs/dedup.yaml dj-process --config demos/process_on_ray/configs/dedup.yaml ``` -Data-Juicer deduplicates the demo dataset with the demo config file and export the result datasets to the directory specified by the `export_path` argument in the config file. +Data-Juicer deduplicates the demo dataset with the demo config file and exports the result datasets to the directory specified by the `export_path` argument in the config file. diff --git a/doc/source/ray-more-libs/joblib.rst b/doc/source/ray-more-libs/joblib.rst index 3d9e5d6f818c..cb3f20c6d2a9 100644 --- a/doc/source/ray-more-libs/joblib.rst +++ b/doc/source/ray-more-libs/joblib.rst @@ -52,7 +52,7 @@ a multi-node Ray cluster instead. search.fit(digits.data, digits.target) You can also set the ``ray_remote_args`` argument in ``parallel_backend`` to :func:`configure -the Ray Actors ` making up the Pool. This can be used to eg. :ref:`assign resources +the Ray Actors ` making up the Pool. This can be used to e.g., :ref:`assign resources to Actors, such as GPUs `. .. code-block:: python @@ -67,7 +67,7 @@ Run on a Cluster This section assumes that you have a running Ray cluster. To start a Ray cluster, see the :ref:`cluster setup ` instructions. -To connect a scikit-learn to a running Ray cluster, you have to specify the address of the +To connect scikit-learn to a running Ray cluster, you have to specify the address of the head node by setting the ``RAY_ADDRESS`` environment variable. You can also start Ray manually by calling ``ray.init()`` (with any of its supported diff --git a/doc/source/ray-more-libs/mars-on-ray.rst b/doc/source/ray-more-libs/mars-on-ray.rst index 129fa94724f7..4baf6e38538d 100644 --- a/doc/source/ray-more-libs/mars-on-ray.rst +++ b/doc/source/ray-more-libs/mars-on-ray.rst @@ -6,11 +6,11 @@ Using Mars on Ray .. _`issue on GitHub`: https://github.com/mars-project/mars/issues -`Mars`_ is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. +`Mars`_ is a tensor-based unified framework for large-scale data computation which scales NumPy, Pandas and Scikit-learn. Mars on Ray makes it easy to scale your programs with a Ray cluster. Currently Mars on Ray supports both Ray actors -and tasks as execution backend. The task will be scheduled by mars scheduler if Ray actors is used. This mode can reuse -all mars scheduler optimizations. If ray tasks mode is used, all tasks will be scheduled by ray, which can reuse failover and -pipeline capabilities provided by ray futures. +and tasks as an execution backend. The task will be scheduled by Mars scheduler if Ray actors are used. This mode can reuse +all Mars scheduler optimizations. If Ray tasks mode is used, all tasks will be scheduled by Ray, which can reuse failover and +pipeline capabilities provided by Ray futures. .. _`Mars`: https://mars-project.readthedocs.io/en/latest/ @@ -75,4 +75,6 @@ Interact with Dataset: df2 = ds.to_mars() print(df2.head(5).execute()) -Refer to _`Mars on Ray`: https://mars-project.readthedocs.io/en/latest/installation/ray.html#mars-ray for more information. +Refer to `Mars on Ray`_ for more information. + +.. _`Mars on Ray`: https://mars-project.readthedocs.io/en/latest/installation/ray.html#mars-ray diff --git a/doc/source/ray-more-libs/modin/index.rst b/doc/source/ray-more-libs/modin/index.rst index 04bfbcb82064..ad88c31d49c6 100644 --- a/doc/source/ray-more-libs/modin/index.rst +++ b/doc/source/ray-more-libs/modin/index.rst @@ -20,7 +20,7 @@ You can use Modin on Ray with your laptop or cluster. In this document, we show instructions for how to set up a Modin compatible Ray cluster and connect Modin to Ray. -.. note:: In previous versions of Modin, you had to initialize Ray before importing Modin. As of Modin 0.9.0, This is no longer the case. +.. note:: In previous versions of Modin, you had to initialize Ray before importing Modin. As of Modin 0.9.0, this is no longer the case. Using Modin with Ray's autoscaler --------------------------------- @@ -54,7 +54,7 @@ and operate on data with Ray. Dataframe operations '''''''''''''''''''' -The Modin Dataframe uses Ray tasks to perform data manipulations. Ray Tasks have +The Modin Dataframe uses Ray Tasks to perform data manipulations. Ray Tasks have a number of benefits over the actor model for data manipulation: - Multiple tasks may be manipulating the same objects simultaneously @@ -63,7 +63,7 @@ a number of benefits over the actor model for data manipulation: - As new workers come online the shuffling of data will happen as tasks are scheduled on the new node - Identical partitions need not be replicated, especially beneficial for operations - that selectively mutate the data (e.g. ``fillna``). + that selectively mutate the data (e.g., ``fillna``). - Finer grained parallelism with finer grained placement control Machine Learning @@ -71,7 +71,7 @@ Machine Learning Modin uses Ray Actors for the machine learning support it currently provides. Modin's implementation of XGBoost is able to spin up one actor for each node -and aggregate all of the partitions on that node to the XGBoost Actor. Modin +and aggregate all of the partitions on that node to the XGBoost actor. Modin is able to specify precisely the node IP for each actor on creation, giving fine-grained control over placement - a must for distributed training performance. diff --git a/doc/source/ray-more-libs/multiprocessing.rst b/doc/source/ray-more-libs/multiprocessing.rst index d57c4db54e0a..05c153c0472f 100644 --- a/doc/source/ray-more-libs/multiprocessing.rst +++ b/doc/source/ray-more-libs/multiprocessing.rst @@ -5,7 +5,7 @@ Distributed multiprocessing.Pool .. _`issue on GitHub`: https://github.com/ray-project/ray/issues -Ray supports running distributed python programs with the `multiprocessing.Pool API`_ +Ray supports running distributed Python programs with the `multiprocessing.Pool API`_ using `Ray Actors `__ instead of local processes. This makes it easy to scale existing applications that use ``multiprocessing.Pool`` from a single node to a cluster. diff --git a/doc/source/ray-more-libs/ray-collective.rst b/doc/source/ray-more-libs/ray-collective.rst index 46df357faa3f..c0c5d4f6afaf 100644 --- a/doc/source/ray-more-libs/ray-collective.rst +++ b/doc/source/ray-more-libs/ray-collective.rst @@ -185,19 +185,19 @@ remote actors. Refer to `APIs <#api-reference>`_ for the detailed descriptions o results = ray.get([w.compute.remote() for w in workers]) Note that for the same set of actors/task processes, multiple collective groups can be constructed, with ``group_name`` as their unique identifier. -This enables to specify complex communication patterns between different (sub)set of processes. +This enables specifying complex communication patterns between different (sub)set of processes. Collective Communication ^^^^^^^^^^^^^^^^^^^^^^^^ Check `the support matrix <#collective-primitives-support-matrix>`_ for the current status of supported collective calls and backends. -Note that the current set of collective communication API are imperative, and exhibit the following behaviours: +Note that the current set of collective communication APIs are imperative, and exhibit the following behaviours: * All the collective APIs are synchronous blocking calls * Since each API only specifies a part of the collective communication, the API is expected to be called by each participating process of the (pre-declared) collective group. - Upon all the processes have made the call and rendezvous with each other, the collective communication happens and proceeds. + Once all the processes have made the call and rendezvous with each other, the collective communication happens and proceeds. * The APIs are imperative and the communication happens out-of-band --- they need to be used inside the collective process (actor/task) code. An example of using ``ray.util.collective.allreduce`` is below: @@ -351,7 +351,7 @@ The following links provide helpful resources on how to efficiently leverage the * `More running examples `_ under ``ray.util.collective.examples``. -* `Scaling up the Spacy Name Entity Recognition (NER) pipeline `_ using Ray collective library. +* `Scaling up the spaCy Named Entity Recognition (NER) pipeline `_ using Ray collective library. * `Implementing the AllReduce strategy `_ for data-parallel distributed ML training. API References diff --git a/doc/source/ray-more-libs/raydp.rst b/doc/source/ray-more-libs/raydp.rst index 8ffcc70966d6..a227ef1f6046 100644 --- a/doc/source/ray-more-libs/raydp.rst +++ b/doc/source/ray-more-libs/raydp.rst @@ -8,7 +8,7 @@ RayDP combines your Spark and Ray clusters, making it easy to do large scale data processing using the PySpark API and seamlessly use that data to train your models using TensorFlow and PyTorch. -For more information and examples, see the RayDP Github page: +For more information and examples, see the RayDP GitHub page: https://github.com/oap-project/raydp ================ @@ -17,7 +17,7 @@ Installing RayDP RayDP can be installed from PyPI and supports PySpark 3.0 and 3.1. -.. code-block bash +.. code-block:: bash pip install raydp @@ -31,7 +31,7 @@ RayDP can be installed from PyPI and supports PySpark 3.0 and 3.1. Creating a Spark Session ======================== -To create a spark session, call ``raydp.init_spark`` +To create a Spark session, call ``raydp.init_spark`` For example, @@ -123,7 +123,7 @@ PyTorch. from raydp.utils import random_split train_df, test_df = random_split(df, [0.7, 0.3]) - # PyTorch Code + # PyTorch Code import torch class LinearModel(torch.nn.Module): def __init__(self): From 926d53edc9dd301779224cc0d7cb6e7db20ac2f0 Mon Sep 17 00:00:00 2001 From: gangsf Date: Fri, 5 Sep 2025 15:26:08 -0700 Subject: [PATCH 1068/1566] [Core] Fix ABFSS (Azure Blob File System Secure) protocol support problems during E2E test in Anyscale environment (#56188) Signed-off-by: Gang Zhao Co-authored-by: Gang Zhao Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/protocol.py | 58 +++++++++++++------ .../ray/tests/test_runtime_env_packaging.py | 43 ++++++++++++++ 2 files changed, 83 insertions(+), 18 deletions(-) diff --git a/python/ray/_private/runtime_env/protocol.py b/python/ray/_private/runtime_env/protocol.py index d5db021f75c8..12d562c6159a 100644 --- a/python/ray/_private/runtime_env/protocol.py +++ b/python/ray/_private/runtime_env/protocol.py @@ -1,5 +1,6 @@ import enum import os +from urllib.parse import urlparse class ProtocolsProvider: @@ -131,36 +132,57 @@ def _handle_abfss_protocol(cls): Raises: ImportError: If required dependencies are not installed. - ValueError: If required environment variables are not set. + ValueError: If the ABFSS URI format is invalid. """ try: + import adlfs from azure.identity import DefaultAzureCredential - from azure.storage.blob import BlobServiceClient # noqa: F401 - from smart_open import open as open_file except ImportError: raise ImportError( - "You must `pip install azure-storage-blob azure-identity smart_open[azure]` " + "You must `pip install adlfs azure-identity` " "to fetch URIs in Azure Blob File System Secure. " + cls._MISSING_DEPENDENCIES_WARNING ) - # Define authentication variable - azure_storage_account_name = os.getenv("AZURE_STORAGE_ACCOUNT") + def open_file(uri, mode, *, transport_params=None): + # Parse and validate the ABFSS URI + parsed = urlparse(uri) - if not azure_storage_account_name: - raise ValueError( - "Azure Blob File System Secure authentication requires " - "AZURE_STORAGE_ACCOUNT environment variable to be set." - ) + # Validate ABFSS URI format: abfss://container@account.dfs.core.windows.net/path + if not parsed.netloc or "@" not in parsed.netloc: + raise ValueError( + f"Invalid ABFSS URI format - missing container@account: {uri}" + ) - account_url = f"https://{azure_storage_account_name}.dfs.core.windows.net/" - transport_params = { - "client": BlobServiceClient( - account_url=account_url, credential=DefaultAzureCredential() + container_part, hostname_part = parsed.netloc.split("@", 1) + + # Validate container name (must be non-empty) + if not container_part: + raise ValueError( + f"Invalid ABFSS URI format - empty container name: {uri}" + ) + + # Validate hostname format + if not hostname_part or not hostname_part.endswith(".dfs.core.windows.net"): + raise ValueError( + f"Invalid ABFSS URI format - invalid hostname (must end with .dfs.core.windows.net): {uri}" + ) + + # Extract and validate account name + azure_storage_account_name = hostname_part.split(".")[0] + if not azure_storage_account_name: + raise ValueError( + f"Invalid ABFSS URI format - empty account name: {uri}" + ) + + # Handle ABFSS URI with adlfs + filesystem = adlfs.AzureBlobFileSystem( + account_name=azure_storage_account_name, + credential=DefaultAzureCredential(), ) - } + return filesystem.open(uri, mode) - return open_file, transport_params + return open_file, None @classmethod def download_remote_uri(cls, protocol: str, source_uri: str, dest_file: str): @@ -204,7 +226,7 @@ def open_file(uri, mode, *, transport_params=None): ) with open_file(source_uri, "rb", transport_params=tp) as fin: - with open_file(dest_file, "wb") as fout: + with open(dest_file, "wb") as fout: fout.write(fin.read()) diff --git a/python/ray/tests/test_runtime_env_packaging.py b/python/ray/tests/test_runtime_env_packaging.py index fdaf2450df92..98e72caf4f07 100644 --- a/python/ray/tests/test_runtime_env_packaging.py +++ b/python/ray/tests/test_runtime_env_packaging.py @@ -633,6 +633,49 @@ def test_parse_gcs_uri(self, gcs_uri): assert package_name == gcs_uri.split("/")[-1] +class TestAbfssProtocol: + """Test ABFSS protocol implementation.""" + + def test_abfss_protocol_handler_with_invalid_uris(self, tmp_path): + """Test that ABFSS protocol handler raises ValueError for invalid URIs.""" + import unittest.mock as mock + + invalid_uris = [ + "abfss://@account.dfs.core.windows.net/file.zip", # Empty container name + "abfss://container@.dfs.core.windows.net/file.zip", # Empty account name + "abfss://container@account.blob.core.windows.net/file.zip", # Wrong endpoint + "abfss://container@account.core.windows.net/file.zip", # Missing .dfs + "abfss://account.dfs.core.windows.net/file.zip", # Missing container@ + "abfss://container", # Missing @ and hostname + "abfss://", # Empty netloc + ] + + dest_file = tmp_path / "test_download.zip" + + # Mock adlfs and azure.identity modules in sys.modules to avoid import errors in CI + import sys + + mock_adlfs_module = mock.MagicMock() + mock_azure_identity_module = mock.MagicMock() + + with mock.patch.dict( + sys.modules, + { + "adlfs": mock_adlfs_module, + "azure": mock.MagicMock(), + "azure.identity": mock_azure_identity_module, + }, + ): + # Setup the mocks (though they won't be called due to validation failures) + mock_filesystem = mock.Mock() + mock_adlfs_module.AzureBlobFileSystem.return_value = mock_filesystem + mock_filesystem.open.return_value = mock.Mock() + + for invalid_uri in invalid_uris: + with pytest.raises(ValueError, match="Invalid ABFSS URI format"): + Protocol.ABFSS.download_remote_uri(invalid_uri, str(dest_file)) + + @pytest.mark.asyncio class TestDownloadAndUnpackPackage: async def test_download_and_unpack_package_with_gcs_uri_without_gcs_client( From 3e09fcfe3189d5d638c788ac6617c3f8febd7648 Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 07:13:41 +0800 Subject: [PATCH 1069/1566] [DOC] Fix grammar, syntax, and formatting issues in ray-air and ray-contribute documentation (#56067) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-air/deployment.rst | 4 ++-- doc/source/ray-air/getting-started.rst | 10 +++++----- doc/source/ray-contribute/ci.rst | 2 +- doc/source/ray-contribute/debugging.rst | 2 +- doc/source/ray-contribute/development.rst | 2 +- doc/source/ray-contribute/docs.md | 2 +- doc/source/ray-contribute/fake-autoscaler.rst | 2 +- doc/source/ray-contribute/getting-involved.rst | 2 +- doc/source/ray-contribute/involvement.rst | 8 ++++---- 9 files changed, 17 insertions(+), 17 deletions(-) diff --git a/doc/source/ray-air/deployment.rst b/doc/source/ray-air/deployment.rst index 812e7cf691fd..343618b97a1a 100644 --- a/doc/source/ray-air/deployment.rst +++ b/doc/source/ray-air/deployment.rst @@ -1,14 +1,14 @@ Deploying Ray for ML platforms ============================== -Here, we describe how you might use or deploy Ray in your infrastructure. There are two main deployment patterns -- pick and choose and within existing platforms. +This page describes how you might use or deploy Ray in your infrastructure. There are two main deployment patterns -- pick and choose, and within existing platforms. The core idea is that Ray can be **complementary** to your existing infrastructure and integration tools. Design Principles ----------------- -* Ray and its libraries handles the heavyweight compute aspects of AI apps and services. +* Ray and its libraries handle the heavyweight compute aspects of AI apps and services. * Ray relies on external integrations (e.g., Tecton, MLFlow, W&B) for Storage and Tracking. * Workflow Orchestrators (e.g., AirFlow) are an optional component that can be used for scheduling recurring jobs, launching new Ray clusters for jobs, and running non-Ray compute steps. * Lightweight orchestration of task graphs within a single Ray app can be handled using Ray tasks. diff --git a/doc/source/ray-air/getting-started.rst b/doc/source/ray-air/getting-started.rst index 047adbaf55f8..2ed5395fdd38 100644 --- a/doc/source/ray-air/getting-started.rst +++ b/doc/source/ray-air/getting-started.rst @@ -5,9 +5,9 @@ Ray for ML Infrastructure .. tip:: - We'd love to hear from you if you are using Ray to build a ML platform! Fill out `this short form `__ to get involved. + We'd love to hear from you if you are using Ray to build an ML platform! Fill out `this short form `__ to get involved. -Ray and its AI libraries provide unified compute runtime for teams looking to simplify their ML platform. +Ray and its AI libraries provide a unified compute runtime for teams looking to simplify their ML platform. Ray's libraries such as Ray Train, Ray Data, and Ray Serve can be used to compose end-to-end ML workflows, providing features and APIs for data preprocessing as part of training, and transitioning from training to serving. @@ -27,9 +27,9 @@ Ray's AI libraries simplify the ecosystem of machine learning frameworks, platfo .. https://docs.google.com/drawings/d/1oi_JwNHXVgtR_9iTdbecquesUd4hOk0dWgHaTaFj6gk/edit -**1. Seamless Dev to Prod**: Ray's AI libraries reduces friction going from development to production. With Ray and its libraries, the same Python code scales seamlessly from a laptop to a large cluster. +**1. Seamless Dev to Prod**: Ray's AI libraries reduce friction going from development to production. With Ray and its libraries, the same Python code scales seamlessly from a laptop to a large cluster. -**2. Unified ML API and Runtime**: Ray's APIs enables swapping between popular frameworks, such as XGBoost, PyTorch, and Hugging Face, with minimal code changes. Everything from training to serving runs on a single runtime (Ray + KubeRay). +**2. Unified ML API and Runtime**: Ray's APIs enable swapping between popular frameworks, such as XGBoost, PyTorch, and Hugging Face, with minimal code changes. Everything from training to serving runs on a single runtime (Ray + KubeRay). **3. Open and Extensible**: Ray is fully open-source and can run on any cluster, cloud, or Kubernetes. Build custom components and integrations on top of scalable developer APIs. @@ -46,7 +46,7 @@ Spotify `uses Ray for advanced applications `_ to discuss Ray! - Star and follow us on `on GitHub`_. -- To post questions or feature requests, check out the `Discussion Board`_! -- Follow us and spread the word on `Twitter`_! -- Join our `Meetup Group`_ to connect with others in the community! -- Use the `[ray]` tag on `StackOverflow`_ to ask and answer questions about Ray usage +- To post questions or feature requests, check out the `Discussion Board`_. +- Follow us and spread the word on `Twitter`_. +- Join our `Meetup Group`_ to connect with others in the community. +- Use the `[ray]` tag on `StackOverflow`_ to ask and answer questions about Ray usage. .. _`Discussion Board`: https://discuss.ray.io/ From ab358e305b7b3a4cbdde0bdf8fc43234e74b3b11 Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Fri, 5 Sep 2025 16:54:14 -0700 Subject: [PATCH 1070/1566] [data] refactor download expression to use inheritance from `AbstractOneToOne` (#56294) ## Why are these changes needed? `Download` logical operator isn't really a map, we should use `AbstractOneToOne` as the base class instead. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Matthew Owen Signed-off-by: Matthew Owen Co-authored-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../logical/operators/map_operator.py | 34 ------------------- .../logical/operators/one_to_one_operator.py | 33 +++++++++++++++++- .../_internal/planner/plan_download_op.py | 15 ++++---- python/ray/data/_internal/planner/planner.py | 3 +- python/ray/data/dataset.py | 3 +- 5 files changed, 42 insertions(+), 46 deletions(-) diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index c6597ae084a2..6b1bcefba5ad 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -360,37 +360,3 @@ def target_num_rows_per_block(self) -> int: def can_modify_num_rows(self) -> bool: return False - - -class Download(AbstractMap): - """Logical operator for download operation.""" - - def __init__( - self, - input_op: LogicalOperator, - uri_column_name: str, - output_bytes_column_name: str, - ray_remote_args: Optional[Dict[str, Any]] = None, - ): - from ray.data._internal.compute import ActorPoolStrategy - - # Download operation uses CallableClass (PartitionActor) so needs ActorPoolStrategy - super().__init__( - "Download", - input_op, - ray_remote_args=ray_remote_args, - compute=ActorPoolStrategy(size=1), - ) - self._uri_column_name = uri_column_name - self._output_bytes_column_name = output_bytes_column_name - - def can_modify_num_rows(self) -> bool: - return False - - @property - def uri_column_name(self) -> str: - return self._uri_column_name - - @property - def output_bytes_column_name(self) -> str: - return self._output_bytes_column_name diff --git a/python/ray/data/_internal/logical/operators/one_to_one_operator.py b/python/ray/data/_internal/logical/operators/one_to_one_operator.py index d9195aebcbdb..79da7094793a 100644 --- a/python/ray/data/_internal/logical/operators/one_to_one_operator.py +++ b/python/ray/data/_internal/logical/operators/one_to_one_operator.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Any, Dict, Optional from ray.data._internal.logical.interfaces import LogicalOperator from ray.data.block import BlockMetadata @@ -83,3 +83,34 @@ def _input_files(self): assert len(self._input_dependencies) == 1, len(self._input_dependencies) assert isinstance(self._input_dependencies[0], LogicalOperator) return self._input_dependencies[0].infer_metadata().input_files + + +class Download(AbstractOneToOne): + """Logical operator for download operation.""" + + def __init__( + self, + input_op: LogicalOperator, + uri_column_name: str, + output_bytes_column_name: str, + ray_remote_args: Optional[Dict[str, Any]] = None, + ): + super().__init__("Download", input_op) + self._uri_column_name = uri_column_name + self._output_bytes_column_name = output_bytes_column_name + self._ray_remote_args = ray_remote_args or {} + + def can_modify_num_rows(self) -> bool: + return False + + @property + def uri_column_name(self) -> str: + return self._uri_column_name + + @property + def output_bytes_column_name(self) -> str: + return self._output_bytes_column_name + + @property + def ray_remote_args(self) -> Dict[str, Any]: + return self._ray_remote_args diff --git a/python/ray/data/_internal/planner/plan_download_op.py b/python/ray/data/_internal/planner/plan_download_op.py index 98617c4593b6..2e2756b6a886 100644 --- a/python/ray/data/_internal/planner/plan_download_op.py +++ b/python/ray/data/_internal/planner/plan_download_op.py @@ -7,14 +7,14 @@ import pyarrow as pa import ray -from ray.data._internal.compute import ActorPoolStrategy, get_compute +from ray.data._internal.compute import ActorPoolStrategy, TaskPoolStrategy from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.execution.operators.map_transformer import ( BlockMapTransformFn, MapTransformer, ) -from ray.data._internal.logical.operators.map_operator import Download +from ray.data._internal.logical.operators.one_to_one_operator import Download from ray.data._internal.util import RetryingPyFileSystem, make_async_gen from ray.data.block import BlockAccessor from ray.data.context import DataContext @@ -33,9 +33,9 @@ def plan_download_op( """Plan the download operation with partitioning and downloading stages.""" assert len(physical_children) == 1 input_physical_dag = physical_children[0] - compute = get_compute(op._compute) uri_column_name = op.uri_column_name output_bytes_column_name = op.output_bytes_column_name + ray_remote_args = op.ray_remote_args # Import _get_udf from the main planner file from ray.data._internal.planner.plan_udf_map_op import ( @@ -58,8 +58,7 @@ def plan_download_op( data_context, name="URIPartitioner", compute_strategy=partition_compute, # Use actor-based compute for callable class - ray_remote_args=op._ray_remote_args, - ray_remote_args_fn=op._ray_remote_args_fn, + ray_remote_args=ray_remote_args, ) fn, init_fn = _get_udf( @@ -74,14 +73,14 @@ def plan_download_op( BlockMapTransformFn(download_transform_fn), ] download_map_transformer = MapTransformer(transform_fns, init_fn) + download_compute = TaskPoolStrategy() download_map_operator = MapOperator.create( download_map_transformer, partition_map_operator, data_context, name="URIDownloader", - compute_strategy=compute, - ray_remote_args=op._ray_remote_args, - ray_remote_args_fn=op._ray_remote_args_fn, + compute_strategy=download_compute, + ray_remote_args=ray_remote_args, ) return download_map_operator diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index 371a238c33b5..5cc78fb7aa3a 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -26,13 +26,12 @@ from ray.data._internal.logical.operators.join_operator import Join from ray.data._internal.logical.operators.map_operator import ( AbstractUDFMap, - Download, Filter, Project, StreamingRepartition, ) from ray.data._internal.logical.operators.n_ary_operator import Union, Zip -from ray.data._internal.logical.operators.one_to_one_operator import Limit +from ray.data._internal.logical.operators.one_to_one_operator import Download, Limit from ray.data._internal.logical.operators.read_operator import Read from ray.data._internal.logical.operators.streaming_split_operator import StreamingSplit from ray.data._internal.logical.operators.write_operator import Write diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 33a628977bae..7fb1c46b7651 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -828,7 +828,8 @@ def with_column( A new dataset with the added column evaluated via the expression. """ # TODO: update schema based on the expression AST. - from ray.data._internal.logical.operators.map_operator import Download, Project + from ray.data._internal.logical.operators.map_operator import Project + from ray.data._internal.logical.operators.one_to_one_operator import Download # TODO: Once the expression API supports UDFs, we can clean up the code here. from ray.data.expressions import DownloadExpr From 3c46e5216915aea8d7bf820cc941006be4267aa3 Mon Sep 17 00:00:00 2001 From: minerharry <35383543+minerharry@users.noreply.github.com> Date: Fri, 5 Sep 2025 19:54:25 -0400 Subject: [PATCH 1071/1566] [core] Proper typing for ObjectRef (#55566) ## Why are these changes needed? Adds proper type-stubbing for ObjectRef (and its cousins, ActorID, TaskID, etc). See #53591. The ray/includes .pxi files (and the _raylet.pxi) are inaccessible to type-checkers, so core ray objects like ObjectRef don't have proper code-completion. While the issue extends to many ray objects defined in includes/* and _raylet.pxi, notably ObjectRefGenerator and similar, this PR focuses just on unique_ids.pxi and object_ref.pxi. By adding python stub files, .pyi, that correspond to the .pxi files, this PR allows type-checkers to understand the contents of the cython files. Each .pyi file contains the signature of every class and method in the .pxi files to expose (though I went ahead and added every method for completeness). Also, I added a `__class_getitem__` method to ObjectRef in object_ref.pxi which mirrors how typing.Generic works, as multiple inheritance (which would be required for generic subclassing of BaseID) is not well supported in cython. This allows for runtime type-subscripting (e.g. ObjectRef[int]) without error and returns a proper annotated type. ## Related issue number Limited-scope version of #55066, just focusing on unique_ids.pxi and object_ref.pxi. Partially satisfies #53591. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [x] This PR is not tested :( --------- Signed-off-by: minerharry Signed-off-by: Philipp Moritz Co-authored-by: Philipp Moritz Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyi | 45 +++++++-- python/ray/includes/object_ref.pxi | 5 +- python/ray/includes/object_ref.pyi | 74 +++++++++++++++ python/ray/includes/unique_ids.pyi | 146 +++++++++++++++++++++++++++++ 4 files changed, 262 insertions(+), 8 deletions(-) create mode 100644 python/ray/includes/object_ref.pyi create mode 100644 python/ray/includes/unique_ids.pyi diff --git a/python/ray/_raylet.pyi b/python/ray/_raylet.pyi index c28976409578..96c79d343b19 100644 --- a/python/ray/_raylet.pyi +++ b/python/ray/_raylet.pyi @@ -1,11 +1,42 @@ -from typing import Awaitable, TypeVar +from ray.includes.object_ref import ( + _set_future_helper, + ObjectRef +) -R = TypeVar("R") +from ray.includes.unique_ids import ( + check_id, + BaseID, + UniqueID, + TaskID, + NodeID, + JobID, + WorkerID, + ActorID, + FunctionID, + ActorClassID, + ClusterID, + ObjectID, + PlacementGroupID, +) -class ObjectRef(Awaitable[R]): # type: ignore - pass +__all__ = [ + # ray.includes.unique_ids + "ActorClassID", + "ActorID", + "BaseID", + "ClusterID", + "FunctionID", + "JobID", + "NodeID", + "ObjectID", + "PlacementGroupID", + "TaskID", + "UniqueID", + "WorkerID", + "check_id", - -class ObjectID(Awaitable[R]): # type: ignore - pass + # ray.includes.object_ref + "_set_future_helper", + "ObjectRef", +] diff --git a/python/ray/includes/object_ref.pxi b/python/ray/includes/object_ref.pxi index 829ec790c4cf..fa498c14bf98 100644 --- a/python/ray/includes/object_ref.pxi +++ b/python/ray/includes/object_ref.pxi @@ -6,6 +6,7 @@ import functools import logging import threading from typing import Callable, Any, Union +from _collections_abc import GenericAlias import ray import cython @@ -34,6 +35,7 @@ def _set_future_helper( cdef class ObjectRef(BaseID): + __class_getitem__ = classmethod(GenericAlias) # should match how typing.Generic works def __cinit__(self): self.in_core_worker = False @@ -97,7 +99,8 @@ cdef class ObjectRef(BaseID): def call_site(self): return decode(self.call_site_data) - def size(self): + @classmethod + def size(cls): return CObjectID.Size() def _set_id(self, id): diff --git a/python/ray/includes/object_ref.pyi b/python/ray/includes/object_ref.pyi new file mode 100644 index 000000000000..78a744e8a856 --- /dev/null +++ b/python/ray/includes/object_ref.pyi @@ -0,0 +1,74 @@ +# source: object_ref.pxi +import asyncio +import concurrent.futures +from typing import Any, Awaitable, Callable, Generator, TypeVar, Union + +from ray.includes.unique_ids import BaseID, JobID, TaskID + +_T = TypeVar("_T") +def _set_future_helper( + result: _T, + *, + py_future: Union[asyncio.Future[_T], concurrent.futures.Future[_T]], +) -> None: ... + + +_OR = TypeVar("_OR", bound=ObjectRef) +class ObjectRef(BaseID, Awaitable[_T]): + + + def __init__( + self, id: bytes, owner_addr: str = "", call_site_data: str = "", + skip_adding_local_ref: bool = False, tensor_transport_val = 0) -> None: ... + + def __dealloc__(self) -> None: ... + + + def task_id(self) -> TaskID: ... + + def job_id(self) -> JobID: ... + + def owner_address(self) -> str: ... + + def call_site(self) -> str: ... + + @classmethod + def size(cls) -> int: ... + + def _set_id(self, id: bytes) -> None: ... + + @classmethod + def nil(cls: type[_OR]) -> _OR: ... + + @classmethod + def from_random(cls: type[_OR]) -> _OR: ... + + def future(self) -> concurrent.futures.Future[_T]: + """Wrap ObjectRef with a concurrent.futures.Future + + Note that the future cancellation will not cancel the correspoding + task when the ObjectRef representing return object of a task. + Additionally, future.running() will always be ``False`` even if the + underlying task is running. + """ + ... + + def __await__(self) -> Generator[Any, None, _T]: ... + + def as_future(self, _internal=False) -> asyncio.Future[_T]: + """Wrap ObjectRef with an asyncio.Future. + + Note that the future cancellation will not cancel the correspoding + task when the ObjectRef representing return object of a task. + """ + ... + + def _on_completed(self, py_callback: Callable[[_T], None]): + """Register a callback that will be called after Object is ready. + If the ObjectRef is already ready, the callback will be called soon. + The callback should take the result as the only argument. The result + can be an exception object in case of task error. + """ + ... + + def tensor_transport(self) -> int: ... diff --git a/python/ray/includes/unique_ids.pyi b/python/ray/includes/unique_ids.pyi new file mode 100644 index 000000000000..5f04389f1aed --- /dev/null +++ b/python/ray/includes/unique_ids.pyi @@ -0,0 +1,146 @@ +from __future__ import annotations + +from typing import Tuple, TypeVar + +# backwards compatibility. Luckily circular references are fine in type stubs +from ray._raylet import ObjectRef + +ObjectID = ObjectRef + +# implementations are in unique_ids.pxi +def check_id(b: bytes, size: int = ...) -> None: ... + +_BID = TypeVar("_BID", bound=BaseID) +class BaseID: + + @classmethod + def from_binary(cls: type[_BID], id_bytes: bytes) -> _BID: ... + + @classmethod + def from_hex(cls: type[_BID], hex_id: str | bytes) -> _BID: ... + + def binary(self) -> bytes: ... + + @classmethod + def size(cls) -> int: ... + + def hex(self) -> str: ... + + def is_nil(self) -> bool: ... + + def __hash__(self) -> int: ... + + def __eq__(self, other: object) -> bool: ... + + def __ne__(self, other: object) -> bool: ... + + def __bytes__(self) -> bytes: ... + + def __hex__(self) -> str: ... + + def __repr__(self) -> str: ... + + def __str__(self) -> str: ... + + def __reduce__(self: _BID) -> Tuple[type[_BID], Tuple[bytes]]: ... + + def redis_shard_hash(self) -> int: ... + + +_UID = TypeVar("_UID", bound=UniqueID) +class UniqueID(BaseID): + + def __init__(self, id: bytes) -> None: ... + + @classmethod + def nil(cls: type[_UID]) -> _UID: ... + + @classmethod + def from_random(cls: type[_UID]) -> _UID: ... + + +_TID = TypeVar("_TID", bound=TaskID) +class TaskID(BaseID): + + def __init__(self, id: bytes) -> None: ... + + def actor_id(self) -> ActorID: ... + + def job_id(self) -> JobID: ... + + @classmethod + def nil(cls: type[_TID]) -> _TID: ... + + @classmethod + def for_fake_task(cls: type[_TID], job_id: JobID) -> _TID: ... + + @classmethod + def for_driver_task(cls: type[_TID], job_id: JobID) -> _TID: ... + + @classmethod + def for_actor_creation_task(cls: type[_TID], actor_id: ActorID) -> _TID: ... + + @classmethod + def for_actor_task(cls: type[_TID], job_id: JobID, parent_task_id: TaskID, + parent_task_counter: int, actor_id: ActorID) -> _TID: ... + + @classmethod + def for_normal_task(cls: type[_TID], job_id: JobID, parent_task_id: TaskID, parent_task_counter: int) -> _TID: ... + + +class NodeID(UniqueID): ... + +_JID = TypeVar("_JID", bound=JobID) +class JobID(BaseID): + + def __init__(self, id: bytes) -> None: ... + + @classmethod + def from_int(cls: type[_JID], value: int) -> _JID: ... + + @classmethod + def nil(cls: type[_JID]) -> _JID: ... + + def int(self) -> int: ... + + +class WorkerID(UniqueID): ... + +_AID = TypeVar("_AID", bound=ActorID) +class ActorID(BaseID): + + def __init__(self, id: bytes) -> None: ... + + @classmethod + def of(cls: type[_AID], job_id: JobID, parent_task_id: TaskID, parent_task_counter: int) -> _AID: ... + + @classmethod + def nil(cls: type[_AID]) -> _AID: ... + + @classmethod + def from_random(cls: type[_AID]) -> _AID: ... + + def _set_id(self, id: bytes) -> None: ... + + @property + def job_id(self) -> JobID: ... + + +class FunctionID(UniqueID): ... +class ActorClassID(UniqueID): ... +class ClusterID(UniqueID): ... + + +_PGID = TypeVar("_PGID", bound=PlacementGroupID) +class PlacementGroupID(BaseID): + + def __init__(self, id: bytes) -> None: ... + + @classmethod + def from_random(cls: type[_PGID]) -> _PGID: ... + + @classmethod + def of(cls: type[_PGID], job_id: JobID) -> _PGID: ... + + @classmethod + def nil(cls: type[_PGID]) -> _PGID: ... From 13b84d5505b907cc51c352e4be6f7c06e2c4ed3d Mon Sep 17 00:00:00 2001 From: Potato Date: Sat, 6 Sep 2025 08:00:13 +0800 Subject: [PATCH 1072/1566] [RLlib] [DOC] Fix documentation typos and grammatical issues in RLlib docs (#56130) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/rllib/algorithm-config.rst | 2 +- doc/source/rllib/external-envs.rst | 4 ++-- doc/source/rllib/getting-started.rst | 2 +- doc/source/rllib/metrics-logger.rst | 8 ++++---- doc/source/rllib/package_ref/index.rst | 2 +- doc/source/rllib/rllib-offline.rst | 6 +++--- 6 files changed, 12 insertions(+), 12 deletions(-) diff --git a/doc/source/rllib/algorithm-config.rst b/doc/source/rllib/algorithm-config.rst index 800ff8de3d0e..76f1b2a7afbd 100644 --- a/doc/source/rllib/algorithm-config.rst +++ b/doc/source/rllib/algorithm-config.rst @@ -12,7 +12,7 @@ the auto-validated and type-safe gateway into configuring and building an RLlib :py:class:`~ray.rllib.algorithms.algorithm.Algorithm`. In essence, you first create an instance of :py:class:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig` -and then call some of its methods to set various configuration options. RLlib uses the following, `black `__ compliant format +and then call some of its methods to set various configuration options. RLlib uses the following `black `__-compliant format in all parts of its code. Note that you can chain together more than one method call, including the constructor: diff --git a/doc/source/rllib/external-envs.rst b/doc/source/rllib/external-envs.rst index 2307457447a8..467e9fdfb4da 100644 --- a/doc/source/rllib/external-envs.rst +++ b/doc/source/rllib/external-envs.rst @@ -68,7 +68,7 @@ Message Structure RLlink messages consist of a header and a body: - - **Header**: 8-byte length field indicating the size of the body, for example `00000016` for a body of length 16 (thus, in total, the message size ). + - **Header**: 8-byte length field indicating the size of the body, for example `00000016` for a body of length 16 (thus, in total, the message size). - **Body**: JSON-encoded content with a `type` field indicating the message type. Example Messages: PING and EPISODES_AND_GET_STATE @@ -153,7 +153,7 @@ Responses: Server → Client - **``SET_STATE``** - - Example: ``{"type": "PONG"}`` + - Example: ``{"type": "SET_STATE", "weights_seq_no": 123, "onnx_file": "... [base64 encoded ONNX file] ..."}`` - Purpose: Provide the client with the current state (for example, model weights). - Body: diff --git a/doc/source/rllib/getting-started.rst b/doc/source/rllib/getting-started.rst index 7cf14882a2fd..0958682c4765 100644 --- a/doc/source/rllib/getting-started.rst +++ b/doc/source/rllib/getting-started.rst @@ -77,7 +77,7 @@ method: ) -To scale your setup and define, how many :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors you want to leverage, +To scale your setup and define how many :py:class:`~ray.rllib.env.env_runner.EnvRunner` actors you want to leverage, you can call the :py:meth:`~ray.rllib.algorithms.algorithm_config.AlgorithmConfig.env_runners` method. ``EnvRunners`` are used to collect samples for training updates from your :ref:`environment `. diff --git a/doc/source/rllib/metrics-logger.rst b/doc/source/rllib/metrics-logger.rst index 382ce6ad8596..2ef0b0d4c0b0 100644 --- a/doc/source/rllib/metrics-logger.rst +++ b/doc/source/rllib/metrics-logger.rst @@ -46,7 +46,7 @@ Features of MetricsLogger The :py:class:`~ray.rllib.utils.metrics.metrics_logger.MetricsLogger` API offers the following functionalities: - Log scalar values over time, such as losses, individual rewards, or episode returns. -- Configure different reduction types, in particular ``mean``, ``min``, ``max``, or ``sum``. Also, users can chose to not +- Configure different reduction types, in particular ``mean``, ``min``, ``max``, or ``sum``. Also, users can choose to not reduce at all through the ``reduce=None`` setting, leaving the logged values untouched. A separate ``clear_on_reduce=True`` setting allows for automatically clearing all logged values on each ``reduce`` event. - Specify sliding windows, over which reductions take place, for example ``window=100`` to average over the @@ -169,7 +169,7 @@ whenever reduction takes place or you peek at the current value: logger.peek("max_value") # Expect: 1000.0, which is the lifetime max (infinite window) -You can also chose to not reduce at all, but to simply collect individual values, for example a set of images you receive +You can also choose to not reduce at all, but to simply collect individual values, for example a set of images you receive from your environment over time and for which it doesn't make sense to reduce them in any way. Use the ``reduce=None`` argument for achieving this. However, it's strongly advised that you should also @@ -192,7 +192,7 @@ to :py:class:`~ray.rllib.algorithms.algorithm.Algorithm`: You should pass additional arguments like ``reduce=None`` and ``clear_on_reduce=True`` to the :py:meth:`~ray.rllib.utils.metrics.metrics_logger.MetricsLogger.log_value` method on each call. -Otherwise, MetricsLogger will emit warnings to ensure that it's behaviour is always as expected. +Otherwise, MetricsLogger will emit warnings to ensure that its behavior is always as expected. Logging a set of nested scalar values @@ -228,7 +228,7 @@ Logging non-scalar data :py:class:`~ray.rllib.utils.metrics.metrics_logger.MetricsLogger` isn't limited to scalar values. You can also use it to log images, videos, or any other complex data. -Normally, you would chose the previously described ``reduce=None`` argument. For example, to +Normally, you would choose the previously described ``reduce=None`` argument. For example, to log three consecutive image frames from a ``CartPole`` environment, do the following: .. testcode:: diff --git a/doc/source/rllib/package_ref/index.rst b/doc/source/rllib/package_ref/index.rst index 5411f2c213b1..7b88fbd8c8e9 100644 --- a/doc/source/rllib/package_ref/index.rst +++ b/doc/source/rllib/package_ref/index.rst @@ -10,7 +10,7 @@ Ray RLlib API .. tip:: We'd love to hear your feedback on using RLlib - `sign up to our forum and start asking questions `_! This section contains an overview of RLlib's package- and API reference. -If you think there is anything missing, please open an issue on `Github`_. +If you think there is anything missing, please open an issue on `GitHub`_. .. _`GitHub`: https://github.com/ray-project/ray/issues diff --git a/doc/source/rllib/rllib-offline.rst b/doc/source/rllib/rllib-offline.rst index 3d08c287f9c2..2320e1cfcc43 100644 --- a/doc/source/rllib/rllib-offline.rst +++ b/doc/source/rllib/rllib-offline.rst @@ -22,7 +22,7 @@ format. You should use the episode format when #. You need experiences grouped by their trajectory and ordered in time (for example, to train stateful modules). #. You want to use recorded experiences exclusively within RLlib (for example for offline RL or behavior cloning). -Contrary, you should prefer the table (columns) format, if +On the contrary, you should prefer the table (columns) format, if #. You need to read the data easily with other data tools or ML libraries. @@ -30,8 +30,8 @@ Contrary, you should prefer the table (columns) format, if :py:class:`~ray.rllib.env.single_agent_episode.SingleAgentEpisode` class is usable outside of an RLlib context. To enable faster access through external data tools (for example, for data transformations), it's recommended to use the table record format. -Most importantly, RLlib's offline RL API builds on top of :ref:`Ray Data ` and therefore features in general all read and -write methods supported by Ray Data (for example :py:class:`~ray.data.read_parquet`, :py:class:`~ray.data.read_json`, etc.) with +Most importantly, RLlib's offline RL API builds on top of :ref:`Ray Data ` and therefore supports all of its read and +write methods (for example :py:class:`~ray.data.read_parquet`, :py:class:`~ray.data.read_json`, etc.) with :py:class:`~ray.data.read_parquet` and :py:class:`~ray.data.Dataset.write_parquet` being the default read and write methods. A core design principle of the API is to apply as many data transformations as possible on-the-fly prior to engaging the learner, allowing the latter to focus exclusively on model updates. From c4de2f5b206016f423e854c1cac44ad5869c17cd Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Fri, 5 Sep 2025 17:05:36 -0700 Subject: [PATCH 1073/1566] [core] (cgroups 4/n) adding constraint bounds checking to the CgroupManager. (#56246) This PR continues to implement the CgroupManager. CgroupManager will be used by the Raylet to manage the cgroup hierarchy. The implementation will be completed in subsequent PRs. This PR stacks on #56186. For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. In this PR: * CgroupManager now bound checks constraints (e.g. cpu.weight is within [1,10000]. * CgroupDriver no longer bound checks constraints. --------- Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../common/cgroup2/cgroup_driver_interface.h | 13 +---- src/ray/common/cgroup2/cgroup_manager.cc | 58 ++++++++++++------- src/ray/common/cgroup2/cgroup_manager.h | 5 +- .../common/cgroup2/cgroup_manager_interface.h | 52 +++++++++-------- src/ray/common/cgroup2/cgroup_test_utils.h | 1 - src/ray/common/cgroup2/fake_cgroup_driver.h | 1 + .../sysfs_cgroup_driver_integration_test.cc | 37 ++---------- src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 51 +++------------- src/ray/common/cgroup2/sysfs_cgroup_driver.h | 18 +++--- .../cgroup2/tests/sysfs_cgroup_driver_test.cc | 2 +- 10 files changed, 94 insertions(+), 144 deletions(-) diff --git a/src/ray/common/cgroup2/cgroup_driver_interface.h b/src/ray/common/cgroup2/cgroup_driver_interface.h index 132000c79ff5..62e9f47f7b9a 100644 --- a/src/ray/common/cgroup2/cgroup_driver_interface.h +++ b/src/ray/common/cgroup2/cgroup_driver_interface.h @@ -157,6 +157,7 @@ class CgroupDriverInterface { supported or the value not correct. */ virtual Status AddConstraint(const std::string &cgroup, + const std::string &controller, const std::string &constraint, const std::string &value) = 0; /** @@ -190,17 +191,5 @@ class CgroupDriverInterface { */ virtual StatusOr> GetEnabledControllers( const std::string &cgroup) = 0; - - struct Constraint { - std::pair range; - std::string controller; - }; - - protected: - const std::unordered_map supported_constraints_ = { - {"cpu.weight", {{1, 10000}, "cpu"}}, - {"memory.min", {{0, std::numeric_limits::max()}, "memory"}}, - }; - const std::unordered_set supported_controllers_ = {"cpu", "memory"}; }; } // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index f01741ea0d1d..28402ba27617 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -55,8 +55,24 @@ StatusOr> CgroupManager::Create( const int64_t system_reserved_cpu_weight, const int64_t system_reserved_memory_bytes, std::unique_ptr cgroup_driver) { - // TODO(#54703): Add bounds checking for system_reserved_cpu_weight - // and system_reserved_memory_bytes. + if (!cpu_weight_constraint_.IsValid(system_reserved_cpu_weight)) { + return Status::InvalidArgument( + absl::StrFormat("Invalid constraint %s=%d. %s must be in the range [%d, %d].", + cpu_weight_constraint_.name_, + system_reserved_cpu_weight, + cpu_weight_constraint_.name_, + cpu_weight_constraint_.Min(), + cpu_weight_constraint_.Max())); + } + if (!memory_min_constraint_.IsValid(system_reserved_memory_bytes)) { + return Status::InvalidArgument( + absl::StrFormat("Invalid constraint %s=%d. %s must be in the range [%d, %d].", + memory_min_constraint_.name_, + system_reserved_memory_bytes, + memory_min_constraint_.name_, + memory_min_constraint_.Min(), + memory_min_constraint_.Max())); + } RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroupv2Enabled()); RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroup(base_cgroup_path)); StatusOr> available_controllers = @@ -117,16 +133,15 @@ void CgroupManager::RegisterMoveAllProcesses(const std::string &from, // TODO(#54703): This is a placeholder for cleanup. This will call // CgroupDriver::AddConstraint(cgroup, constraint, default_value). +template void CgroupManager::RegisterRemoveConstraint(const std::string &cgroup, - const std::string &constraint) { + const Constraint &constraint) { cleanup_operations_.emplace_back( [constrained_cgroup = cgroup, constraint_to_remove = constraint]() { - auto constraint_metadata = supported_constraints_.find(constraint_to_remove); - RAY_CHECK(constraint_metadata != supported_constraints_.end()); RAY_LOG(INFO) << absl::StrFormat( "Setting constraint %s to default value %lld for cgroup %s", - constraint_to_remove, - constraint_metadata->second.default_value, + constraint_to_remove.name_, + constraint_to_remove.default_value_, constrained_cgroup); }); } @@ -149,8 +164,8 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, // The cpu.weight is distributed between the system and application cgroups. // The application cgroup gets whatever is leftover from the system cgroup. - int64_t max_cpu_weight = supported_constraints_.at(kCPUWeightConstraint).Max(); - int64_t application_cgroup_cpu_weight = max_cpu_weight - system_reserved_cpu_weight; + int64_t application_cgroup_cpu_weight = + cpu_weight_constraint_.Max() - system_reserved_cpu_weight; RAY_LOG(INFO) << absl::StrFormat( "Initializing CgroupManager at base cgroup path at %s. Ray's cgroup " @@ -162,12 +177,12 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, node_cgroup_path_, supported_controllers, system_cgroup_path_, - kCPUWeightConstraint, + cpu_weight_constraint_.name_, system_reserved_cpu_weight, - kMemoryMinConstraint, + memory_min_constraint_.name_, system_reserved_memory_bytes, application_cgroup_path_, - kCPUWeightConstraint, + cpu_weight_constraint_.name_, application_cgroup_cpu_weight); // Create the cgroup heirarchy: @@ -206,21 +221,24 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, RAY_RETURN_NOT_OK( cgroup_driver_->AddConstraint(system_cgroup_path_, - kMemoryMinConstraint, - std::to_string(system_reserved_memory_bytes))); - RegisterRemoveConstraint(system_cgroup_path_, kMemoryMinConstraint); + cpu_weight_constraint_.controller_, + cpu_weight_constraint_.name_, + std::to_string(system_reserved_cpu_weight))); + RegisterRemoveConstraint(system_cgroup_path_, cpu_weight_constraint_); RAY_RETURN_NOT_OK( cgroup_driver_->AddConstraint(system_cgroup_path_, - kCPUWeightConstraint, - std::to_string(system_reserved_cpu_weight))); - RegisterRemoveConstraint(system_cgroup_path_, kCPUWeightConstraint); + memory_min_constraint_.controller_, + memory_min_constraint_.name_, + std::to_string(system_reserved_memory_bytes))); + RegisterRemoveConstraint(system_cgroup_path_, memory_min_constraint_); RAY_RETURN_NOT_OK( cgroup_driver_->AddConstraint(application_cgroup_path_, - kCPUWeightConstraint, + cpu_weight_constraint_.controller_, + cpu_weight_constraint_.name_, std::to_string(application_cgroup_cpu_weight))); - RegisterRemoveConstraint(application_cgroup_path_, kCPUWeightConstraint); + RegisterRemoveConstraint(application_cgroup_path_, cpu_weight_constraint_); return Status::OK(); } diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h index fa281e7376bf..ba402d496c32 100644 --- a/src/ray/common/cgroup2/cgroup_manager.h +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -28,7 +28,6 @@ namespace ray { class CgroupManager : public CgroupManagerInterface { public: /** - Creates a CgroupManager after checking for the following invariants: 1. cgroupv2 is mounted correctly in unified mode. For more details (@see @@ -116,7 +115,9 @@ class CgroupManager : public CgroupManagerInterface { // future PR. void RegisterDeleteCgroup(const std::string &cgroup_path); void RegisterMoveAllProcesses(const std::string &from, const std::string &to); - void RegisterRemoveConstraint(const std::string &cgroup, const std::string &constraint); + template + void RegisterRemoveConstraint(const std::string &cgroup, + const Constraint &constraint); void RegisterDisableController(const std::string &cgroup, const std::string &controller); diff --git a/src/ray/common/cgroup2/cgroup_manager_interface.h b/src/ray/common/cgroup2/cgroup_manager_interface.h index 5b69405d3863..28b6f936932f 100644 --- a/src/ray/common/cgroup2/cgroup_manager_interface.h +++ b/src/ray/common/cgroup2/cgroup_manager_interface.h @@ -39,23 +39,6 @@ namespace ray { system application */ class CgroupManagerInterface { - // TODO(#54703): The Constraint struct, supported_constraints_, and - // supported_controllers_ are duplicated across CgroupManagerInterface and - // CgroupDriverInterface. It makes sense for these to be separated into two concerns: - // 1) Checking which controllers and constraints are supported in Ray should be in - // CgroupManagerInterface. - // 2) Checking what values are allowed for constraints should be inside - // CgroupDriverInterface. - // This will be done in a later PR. - struct Constraint { - std::pair range; - std::string controller; - int64_t default_value; - - int64_t Max() const { return range.second; } - int64_t Min() const { return range.first; } - }; - public: // TODO(#54703): These will be implemented in a later PR to move processes // into a cgroup. @@ -72,16 +55,35 @@ class CgroupManagerInterface { inline static const std::string kNodeCgroupName = "ray_node"; inline static const std::string kSystemCgroupName = "system"; inline static const std::string kApplicationCgroupName = "application"; - inline static const std::string kCPUWeightConstraint = "cpu.weight"; - inline static const std::string kMemoryMinConstraint = "memory.min"; - inline static const std::unordered_map supported_constraints_ = - {{kCPUWeightConstraint, {{1, 10000}, "cpu", 100}}, - { - kMemoryMinConstraint, - {{0, std::numeric_limits::max()}, "memory", 0}, - }}; + // Controllers that can be enabled in Ray. inline static const std::unordered_set supported_controllers_ = {"cpu", "memory"}; + /** + Metadata about constraints that can be used. + @tparam the type of value that the constraint can take. + */ + template + struct Constraint { + std::string name_; + std::string controller_; + std::pair range_; + T default_value_; + T Max() const { return range_.second; } + T Min() const { return range_.first; } + bool IsValid(T value) const { return value <= Max() && value >= Min(); } + }; + + // cpu.weight distributes a cgroup's cpu cycles between it's children. + // See https://docs.kernel.org/admin-guide/cgroup-v2.html#cpu-interface-files + inline static const Constraint cpu_weight_constraint_{ + "cpu.weight", "cpu", {1, 10000}, 100}; + + // memory.min guarantees hard memory protection. If the memory usage of a cgroup + // is within its effective min boundary, the cgroup’s memory won’t be reclaimed under + // any conditions. + // See https://docs.kernel.org/admin-guide/cgroup-v2.html#memory-interface-files + inline static const Constraint memory_min_constraint_{ + "memory.min", "memory", {0, std::numeric_limits::max()}, 0}; }; } // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_test_utils.h b/src/ray/common/cgroup2/cgroup_test_utils.h index 29cb8364eb84..beaa58c7de91 100644 --- a/src/ray/common/cgroup2/cgroup_test_utils.h +++ b/src/ray/common/cgroup2/cgroup_test_utils.h @@ -13,7 +13,6 @@ // limitations under the License. #pragma once -#include #include #include diff --git a/src/ray/common/cgroup2/fake_cgroup_driver.h b/src/ray/common/cgroup2/fake_cgroup_driver.h index d40235f71ee3..0fe1ad041c85 100644 --- a/src/ray/common/cgroup2/fake_cgroup_driver.h +++ b/src/ray/common/cgroup2/fake_cgroup_driver.h @@ -122,6 +122,7 @@ class FakeCgroupDriver : public CgroupDriverInterface { } Status AddConstraint(const std::string &cgroup, + const std::string &controller, const std::string &constraint, const std::string &value) override { if (!add_constraint_s_.ok()) { diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc index 52dbf51eb72e..ab3312f27f25 100644 --- a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc @@ -11,9 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include #include -#include #include #include @@ -482,7 +480,7 @@ TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintFailsIfCgroupDoesn std::string non_existent_path = test_cgroup_path_ + std::filesystem::path::preferred_separator + "nope"; SysFsCgroupDriver driver; - Status s = driver.AddConstraint(non_existent_path, "memory.min", "1"); + Status s = driver.AddConstraint(non_existent_path, "memory", "memory.min", "1"); ASSERT_TRUE(s.IsNotFound()) << s.ToString(); } @@ -492,7 +490,7 @@ TEST_F(SysFsCgroupDriverIntegrationTest, ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); auto cgroup = std::move(cgroup_or_status.value()); SysFsCgroupDriver driver; - Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + Status s = driver.AddConstraint(cgroup->GetPath(), "memory", "memory.min", "1"); ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); } @@ -503,20 +501,10 @@ TEST_F(SysFsCgroupDriverIntegrationTest, ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); auto cgroup = std::move(cgroup_or_status.value()); SysFsCgroupDriver driver; - Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + Status s = driver.AddConstraint(cgroup->GetPath(), "memory", "memory.min", "1"); ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); } -TEST_F(SysFsCgroupDriverIntegrationTest, - AddResourceConstraintFailsIfConstraintNotSupported) { - auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); - ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); - auto cgroup = std::move(cgroup_or_status.value()); - SysFsCgroupDriver driver; - // "memory.max" is not supported. - Status s = driver.AddConstraint(cgroup->GetPath(), "memory.max", "1"); - ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); -} TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintFailsIfControllerNotEnabled) { auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); @@ -524,24 +512,9 @@ TEST_F(SysFsCgroupDriverIntegrationTest, auto cgroup = std::move(cgroup_or_status.value()); SysFsCgroupDriver driver; // Memory controller is not enabled. - Status s = driver.AddConstraint(cgroup->GetPath(), "memory.min", "1"); + Status s = driver.AddConstraint(cgroup->GetPath(), "memory", "memory.min", "1"); ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); } -TEST_F(SysFsCgroupDriverIntegrationTest, - AddResourceConstraintFailsIfInvalidConstraintValue) { - auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); - ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); - auto cgroup = std::move(cgroup_or_status.value()); - SysFsCgroupDriver driver; - // Enable the cpu controller first. - Status enable_controller_s = driver.EnableController(cgroup->GetPath(), "cpu"); - ASSERT_TRUE(enable_controller_s.ok()) << enable_controller_s.ToString(); - // cpu.weight must be between [1,10000] - Status s_too_low = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "0"); - ASSERT_TRUE(s_too_low.IsInvalidArgument()) << s_too_low.ToString(); - Status s_too_high = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "10001"); - ASSERT_TRUE(s_too_high.IsInvalidArgument()) << s_too_high.ToString(); -} TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintSucceeds) { auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); @@ -552,7 +525,7 @@ TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintSucceeds) { Status enable_controller_s = driver.EnableController(cgroup->GetPath(), "cpu"); ASSERT_TRUE(enable_controller_s.ok()) << enable_controller_s.ToString(); // cpu.weight must be between [1,10000] - Status s = driver.AddConstraint(cgroup->GetPath(), "cpu.weight", "500"); + Status s = driver.AddConstraint(cgroup->GetPath(), "cpu", "cpu.weight", "500"); ASSERT_TRUE(s.ok()) << s.ToString(); } } // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index 88a41d74af8a..bf29d8cafa66 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -28,9 +28,7 @@ #include #include #include -#include #include -#include #include #include @@ -297,61 +295,28 @@ Status SysFsCgroupDriver::DisableController(const std::string &cgroup_path, return Status::OK(); } -Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup, +Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup_path, + const std::string &controller, const std::string &constraint, const std::string &constraint_value) { - RAY_RETURN_NOT_OK(CheckCgroup(cgroup)); - auto constraint_it = supported_constraints_.find(constraint); - if (constraint_it == supported_constraints_.end()) { - std::string supported_constraint_names("["); - for (auto it = supported_constraints_.begin(); it != supported_constraints_.end(); - ++it) { - supported_constraint_names.append(it->first); - if (std::next(it) != supported_constraints_.end()) { - supported_constraint_names.append(", "); - } - } - supported_constraint_names.append("]"); - return Status::InvalidArgument(absl::StrFormat( - "Failed to apply constraint %s to cgroup %s. Ray only supports %s", - constraint, - cgroup, - supported_constraint_names)); - } - - // Check if the constraint value is out of range and therefore invalid. - auto [low, high] = constraint_it->second.range; - size_t value = static_cast(std::stoi(constraint_value)); - if (value < low || value > high) { - return Status::InvalidArgument(absl::StrFormat( - "Failed to apply constraint %s=%s to cgroup %s. %s can only have values " - "in the range[%i, %i].", - constraint, - constraint_value, - cgroup, - constraint, - low, - high)); - } - + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_path)); // Check if the required controller for the constraint is enabled. - const std::string &controller = constraint_it->second.controller; StatusOr> available_controllers_s = - GetEnabledControllers(cgroup); + GetEnabledControllers(cgroup_path); RAY_RETURN_NOT_OK(available_controllers_s.status()); const auto &controllers = available_controllers_s.value(); if (controllers.find(controller) == controllers.end()) { return Status::InvalidArgument(absl::StrFormat( "Failed to apply %s to cgroup %s. To use %s, enable the %s controller.", constraint, - cgroup, + cgroup_path, constraint, controller)); } // Try to apply the constraint and propagate the appropriate failure error. std::string file_path = - cgroup + std::filesystem::path::preferred_separator + constraint; + cgroup_path + std::filesystem::path::preferred_separator + constraint; int fd = open(file_path.c_str(), O_RDWR); @@ -361,7 +326,7 @@ Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup, "Error: %s", constraint, constraint_value, - cgroup, + cgroup_path, strerror(errno))); } @@ -374,7 +339,7 @@ Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup, "Error: %s", constraint, constraint_value, - cgroup, + cgroup_path, strerror(errno))); } close(fd); diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.h b/src/ray/common/cgroup2/sysfs_cgroup_driver.h index fd56d129617b..2f654115d282 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.h +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.h @@ -188,8 +188,7 @@ class SysFsCgroupDriver : public CgroupDriverInterface { https://docs.kernel.org/admin-guide/cgroup-v2.html#controlling-controllers @param cgroup_path absolute path of the cgroup. - @param controller name of the controller i.e. "cpu" or "memory" from - @ref CgroupDriverInterface::supported_controllers_ "supported controllers". + @param controller name of the controller e.g. "cpu", "memory" etc. @return Status::OK if successful @return Status::NotFound if the cgroup does not exist. @@ -225,19 +224,22 @@ class SysFsCgroupDriver : public CgroupDriverInterface { const std::string &controller) override; /** - Adds a constraint to the respective cgroup file. See - @ref CgroupDriverInterface::supported_constraints_ "supported constraints" and valid - values. + Adds a constraint to the respective cgroup file. + + @param cgroup_path absolute path of the cgroup. + @param controller the name of the controller + @param constraint the name of the cgroup file to add the constraint to e.g. cpu.weight + @param constraint_value @return Status::OK if no errors are encounted. @return Status::NotFound if the cgroup does not exist. @return Status::PermissionDenied if current user doesn't have read, write, and execute permissions. - @return Status::InvalidArgument if the cgroup is not using cgroupv2, the constraint - is not supported in ray, the constraint value is out of range, or if cannot write - to the relevant constraint file. + @return Status::InvalidArgument if the cgroup is not using cgroupv2, controller is not + enabled, or cannot write to the constraint file. */ Status AddConstraint(const std::string &cgroup, + const std::string &controller, const std::string &constraint, const std::string &constraint_value) override; diff --git a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc index a381c81f97de..70d123c5f5fb 100644 --- a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc +++ b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc @@ -125,7 +125,7 @@ TEST(SysFsCgroupDriver, AddConstraintFailsIfNotCgroupv2Path) { ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); SysFsCgroupDriver driver; - Status s = driver.AddConstraint(temp_dir->GetPath(), "memory.min", "1"); + Status s = driver.AddConstraint(temp_dir->GetPath(), "memory", "memory.min", "1"); ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); } From 4b244cd817684c2c820e32c5148c81d07e097d83 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Fri, 5 Sep 2025 18:21:35 -0700 Subject: [PATCH 1074/1566] [Core] Remove test_head_node_job_agent_always_used (#56292) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../dashboard/modules/job/tests/test_sdk.py | 49 ------------------- 1 file changed, 49 deletions(-) diff --git a/python/ray/dashboard/modules/job/tests/test_sdk.py b/python/ray/dashboard/modules/job/tests/test_sdk.py index cc7ec6bf0f90..f3c370b22b06 100644 --- a/python/ray/dashboard/modules/job/tests/test_sdk.py +++ b/python/ray/dashboard/modules/job/tests/test_sdk.py @@ -8,7 +8,6 @@ import pytest -import ray from ray._common.test_utils import wait_for_condition import ray.experimental.internal_kv as kv from ray._private.ray_constants import ( @@ -172,54 +171,6 @@ def get_register_agents_number(gcs_client): return len(keys) -@pytest.mark.parametrize( - "ray_start_cluster_head_with_env_vars", - [ - { - "include_dashboard": True, - "env_vars": { - RAY_JOB_ALLOW_DRIVER_ON_WORKER_NODES_ENV_VAR: "1", - "RAY_health_check_initial_delay_ms": "0", - "RAY_health_check_period_ms": "1000", - }, - } - ], - indirect=True, -) -def test_head_node_job_agent_always_used(ray_start_cluster_head_with_env_vars): - """Makes sure that job submission always uses the head node's job agent. - - 1. Create a cluster with a worker node and a head node. - 2. Submit 10 jobs. - 3. Make sure they all execute on the head node's job agent. - """ - cluster = ray_start_cluster_head_with_env_vars - assert wait_until_server_available(cluster.webui_url) is True - webui_url = cluster.webui_url - webui_url = format_web_url(webui_url) - client = JobSubmissionClient(webui_url) - - cluster_nodes = cluster.list_all_nodes() - assert len(cluster_nodes) == 1 and cluster_nodes[0].is_head - head_node_id = cluster_nodes[0].node_id - - # add a worker node. - cluster.add_node() - - job_ids = [client.submit_job(entrypoint="echo hello")] - - for job_id in job_ids: - wait_for_condition( - _check_job_succeeded, client=client, job_id=job_id, timeout=30 - ) - - actors = ray.state.actors() - - for _, actor_info in actors.items(): - if actor_info["Name"].startswith("_ray_internal_job_actor"): - assert actor_info["Address"]["NodeID"] == head_node_id - - @pytest.mark.parametrize( "ray_start_cluster_head_with_env_vars", [ From eb800edb5c72dd48a4bd61e037f5db762d3cc559 Mon Sep 17 00:00:00 2001 From: Haichuan Hu <74917084+KaisennHu@users.noreply.github.com> Date: Sat, 6 Sep 2025 12:10:13 +0800 Subject: [PATCH 1075/1566] [core] Add a warning when returning an object w/ num_returns=0 (#56213) Signed-off-by: Haichuan Hu Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index edcb38d2c41c..c9c87b70053d 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -262,6 +262,13 @@ GRPC_STATUS_CODE_UNIMPLEMENTED = CGrpcStatusCode.UNIMPLEMENTED logger = logging.getLogger(__name__) +import warnings +class NumReturnsWarning(UserWarning): + """Warning when num_returns=0 but the task returns a non-None value.""" + pass + +warnings.filterwarnings("once", category=NumReturnsWarning) + # The currently running task, if any. These are used to synchronize task # interruption for ray.cancel. current_task_id = None @@ -4413,6 +4420,17 @@ cdef class CoreWorker: num_returns = returns[0].size() if num_returns == 0: + if outputs is not None and len(outputs) > 0: + # Warn if num_returns=0 but the task returns a non-None value (likely unintended). + task_name = self.get_current_task_name() + obj_value = repr(outputs) + warnings.warn( + f"Task '{task_name}' has num_returns=0 but returned a non-None value '{obj_value}'. " + "The return value will be ignored.", + NumReturnsWarning, + stacklevel=2 + ) + return num_outputs_stored task_output_inlined_bytes = 0 From ac43fcce912546e0dde57278bb67e7cb81723587 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Sat, 6 Sep 2025 00:17:42 -0400 Subject: [PATCH 1076/1566] [Data] Fixed `ParquetDatasource` encoding ratio estimation (#56268) ## Why are these changes needed? This change is a follow-up for https://github.com/ray-project/ray/pull/56105. Now dataset size estimation is based on listed file sizes. However, encoding ratio was still based on the file size estimates derived from the uncompressed data size obtained from Parquet metadata. This change is addressing that by: - Rebasing encoding ratio to relate estimated in-memory size to the listed file size - Cleaning up unused abstractions (like `ParquetMetadataProvider`) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 - doc/source/data/api/input_output.rst | 1 - .../datasource/parquet_datasource.py | 426 +++++++++--------- python/ray/data/datasource/__init__.py | 2 - .../ray/data/datasource/file_meta_provider.py | 1 - .../data/datasource/parquet_meta_provider.py | 236 ---------- python/ray/data/read_api.py | 8 +- .../ray/data/tests/test_metadata_provider.py | 55 --- python/ray/data/tests/test_parquet.py | 216 +-------- python/ray/data/tests/test_size_estimation.py | 2 +- 10 files changed, 230 insertions(+), 721 deletions(-) delete mode 100644 python/ray/data/datasource/parquet_meta_provider.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index a6ab3cb60a2b..8aa286605a2c 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1332,10 +1332,6 @@ python/ray/data/datasource/filename_provider.py DOC201: Method `FilenameProvider.get_filename_for_block` does not have a return section in docstring DOC201: Method `FilenameProvider.get_filename_for_row` does not have a return section in docstring -------------------- -python/ray/data/datasource/parquet_meta_provider.py - DOC101: Method `ParquetMetadataProvider.prefetch_file_metadata`: Docstring contains fewer arguments than in function signature. - DOC103: Method `ParquetMetadataProvider.prefetch_file_metadata`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**ray_remote_args: ]. --------------------- python/ray/data/datasource/path_util.py DOC201: Function `_has_file_extension` does not have a return section in docstring DOC201: Function `_resolve_paths_and_filesystem` does not have a return section in docstring diff --git a/doc/source/data/api/input_output.rst b/doc/source/data/api/input_output.rst index 9c4ad3868bb2..0b32168c35f6 100644 --- a/doc/source/data/api/input_output.rst +++ b/doc/source/data/api/input_output.rst @@ -410,7 +410,6 @@ MetadataProvider API datasource.FileMetadataProvider datasource.BaseFileMetadataProvider datasource.DefaultFileMetadataProvider - datasource.ParquetMetadataProvider datasource.FastFileMetadataProvider Shuffling API diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index e893365a7e71..8cb6db7600ae 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -1,4 +1,5 @@ import logging +import math import warnings from dataclasses import dataclass from typing import ( @@ -15,9 +16,10 @@ ) import numpy as np +from packaging.version import parse as parse_version import ray -import ray.cloudpickle as cloudpickle +from ray._private.arrow_utils import get_pyarrow_version from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.remote_fn import cached_remote_fn from ray.data._internal.util import ( @@ -26,19 +28,16 @@ _is_local_scheme, iterate_with_retry, ) -from ray.data.block import Block, BlockAccessor +from ray.data.block import Block, BlockAccessor, BlockMetadata from ray.data.context import DataContext from ray.data.datasource import Datasource from ray.data.datasource.datasource import ReadTask from ray.data.datasource.file_based_datasource import FileShuffleConfig from ray.data.datasource.file_meta_provider import ( + FileMetadataProvider, _handle_read_os_error, _list_files, ) -from ray.data.datasource.parquet_meta_provider import ( - ParquetFileMetadata, - ParquetMetadataProvider, -) from ray.data.datasource.partitioning import ( PartitionDataType, Partitioning, @@ -58,13 +57,17 @@ logger = logging.getLogger(__name__) + +MIN_PYARROW_TO_BATCHES_READAHEAD = parse_version("10.0.0") + + # The `num_cpus` for each metadata prefetching task. # Default to 0.5 instead of 1 because it is cheaper than normal read task. NUM_CPUS_FOR_META_FETCH_TASK = 0.5 # The number of rows to read per batch. This is sized to generate 10MiB batches # for rows about 1KiB in size. -PARQUET_READER_ROW_BATCH_SIZE = 10_000 +DEFAULT_PARQUET_READER_ROW_BATCH_SIZE = 10_000 FILE_READING_RETRY = 8 # The default size multiplier for reading Parquet data source in Arrow. @@ -97,43 +100,36 @@ PARQUET_ENCODING_RATIO_ESTIMATE_NUM_ROWS = 1024 -@dataclass(frozen=True) -class _SampleInfo: - actual_bytes_per_row: Optional[int] - estimated_bytes_per_row: Optional[int] - - -class _NoIOSerializableFragmentWrapper: - """This is a workaround to avoid utilizing `ParquetFileFragment` original +class _ParquetFragment: + """This wrapper class is created to avoid utilizing `ParquetFileFragment` original serialization protocol that actually does network RPCs during serialization - (to fetch metadata)""" + (to fetch actual parquet metadata)""" - def __init__(self, f: "ParquetFileFragment"): + def __init__(self, f: "ParquetFileFragment", file_size: int): self._fragment = f + self._file_size = file_size + + @property + def file_size(self) -> int: + return self._file_size + + @property + def original(self) -> "ParquetFileFragment": + return self._fragment def __reduce__(self): - return self._fragment.format.make_fragment, ( + return _ParquetFragment.make_fragment, ( + self._fragment.format, self._fragment.path, self._fragment.filesystem, self._fragment.partition_expression, + self._file_size, ) - def deserialize(self) -> "ParquetFileFragment": - # Implicitly trigger S3 subsystem initialization by importing - # pyarrow.fs. - import pyarrow.fs # noqa: F401 - - (file_format, path, filesystem, partition_expression) = cloudpickle.loads( - self._data - ) - return file_format.make_fragment(path, filesystem, partition_expression) - - -# Visible for test mocking. -def _deserialize_fragments( - serialized_fragments: List[_NoIOSerializableFragmentWrapper], -) -> List["pyarrow._dataset.ParquetFileFragment"]: - return [p.deserialize() for p in serialized_fragments] + @staticmethod + def make_fragment(format, path, filesystem, partition_expression, file_size): + fragment = format.make_fragment(path, filesystem, partition_expression) + return _ParquetFragment(fragment, file_size) def check_for_legacy_tensor_type(schema): @@ -181,7 +177,7 @@ def __init__( _block_udf: Optional[Callable[[Block], Block]] = None, filesystem: Optional["pyarrow.fs.FileSystem"] = None, schema: Optional[Union[type, "pyarrow.lib.Schema"]] = None, - meta_provider: ParquetMetadataProvider = ParquetMetadataProvider(), + meta_provider: Optional[FileMetadataProvider] = None, partition_filter: PathPartitionFilter = None, partitioning: Optional[Partitioning] = Partitioning("hive"), shuffle: Union[Literal["files"], None] = None, @@ -269,30 +265,6 @@ def __init__( columns, pq_ds.fragments[0], partitioning ) - try: - prefetch_remote_args = {} - prefetch_remote_args["num_cpus"] = NUM_CPUS_FOR_META_FETCH_TASK - if self._local_scheduling: - prefetch_remote_args["scheduling_strategy"] = self._local_scheduling - else: - # Use the scheduling strategy ("SPREAD" by default) provided in - # `DataContext``, to spread out prefetch tasks in cluster, avoid - # AWS S3 throttling error. - # Note: this is the same scheduling strategy used by read tasks. - prefetch_remote_args[ - "scheduling_strategy" - ] = DataContext.get_current().scheduling_strategy - - self._metadata = [ - ParquetFileMetadata( - num_bytes=num_bytes, - ) - for num_bytes in file_sizes - ] - - except OSError as e: - _handle_read_os_error(e, paths) - if to_batch_kwargs is None: to_batch_kwargs = {} @@ -300,10 +272,10 @@ def __init__( # network calls when `_ParquetDatasourceReader` is serialized. See # `_SerializedFragment()` implementation for more details. self._pq_fragments = [ - _NoIOSerializableFragmentWrapper(p) for p in pq_ds.fragments + _ParquetFragment(fragment, file_size) + for fragment, file_size in zip(pq_ds.fragments, file_sizes) ] self._pq_paths = [p.path for p in pq_ds.fragments] - self._meta_provider = meta_provider self._block_udf = _block_udf self._to_batches_kwargs = to_batch_kwargs self._data_columns = data_columns @@ -313,21 +285,35 @@ def __init__( self._file_metadata_shuffler = None self._include_paths = include_paths self._partitioning = partitioning + if shuffle == "files": self._file_metadata_shuffler = np.random.default_rng() elif isinstance(shuffle, FileShuffleConfig): self._file_metadata_shuffler = np.random.default_rng(shuffle.seed) - sample_infos = sample_fragments( + # Sample small number of parquet files to estimate + # - Encoding ratio: ratio of file size on disk to approximate expected + # size of the corresponding block in memory + # - Default batch-size: number of rows to be read from a file at a time, + # used to limit amount of memory pressure + sampled_fragments = _sample_fragments( self._pq_fragments, - to_batches_kwargs=to_batch_kwargs, - columns=data_columns, - schema=self._read_schema, + ) + + sampled_file_infos = _fetch_file_infos( + sampled_fragments, + columns=self._data_columns, + schema=schema, local_scheduling=self._local_scheduling, ) - self._encoding_ratio = estimate_files_encoding_ratio(sample_infos) - self._default_read_batch_size_rows = estimate_default_read_batch_size_rows( - sample_infos + + self._encoding_ratio = _estimate_files_encoding_ratio( + sampled_fragments, + sampled_file_infos, + ) + + self._default_batch_size = _estimate_reader_batch_size( + sampled_file_infos, DataContext.get_current().target_max_block_size ) if file_extensions is None: @@ -338,60 +324,41 @@ def __init__( emit_file_extensions_future_warning(self._FUTURE_FILE_EXTENSIONS) break - def estimate_inmemory_data_size(self) -> Optional[int]: - total_size = 0 - for file_metadata in self._metadata: - total_size += file_metadata.num_bytes - return total_size * self._encoding_ratio + def estimate_inmemory_data_size(self) -> int: + return self._estimate_in_mem_size(self._pq_fragments) def get_read_tasks(self, parallelism: int) -> List[ReadTask]: # NOTE: We override the base class FileBasedDatasource.get_read_tasks() # method in order to leverage pyarrow's ParquetDataset abstraction, # which simplifies partitioning logic. We still use # FileBasedDatasource's write side, however. - pq_metadata = self._metadata - if len(pq_metadata) < len(self._pq_fragments): - # Pad `pq_metadata` to be same length of `self._pq_fragments`. - # This can happen when no file metadata being prefetched. - pq_metadata += [None] * (len(self._pq_fragments) - len(pq_metadata)) - if self._file_metadata_shuffler is not None: - files_metadata = list(zip(self._pq_fragments, self._pq_paths, pq_metadata)) + files_metadata = list(zip(self._pq_fragments, self._pq_paths)) shuffled_files_metadata = [ files_metadata[i] for i in self._file_metadata_shuffler.permutation(len(files_metadata)) ] - pq_fragments, pq_paths, pq_metadata = list( - map(list, zip(*shuffled_files_metadata)) - ) + pq_fragments, pq_paths = list(map(list, zip(*shuffled_files_metadata))) else: - pq_fragments, pq_paths, pq_metadata = ( + pq_fragments, pq_paths = ( self._pq_fragments, self._pq_paths, - pq_metadata, ) read_tasks = [] - for fragments, paths, metadata in zip( + for fragments, paths in zip( np.array_split(pq_fragments, parallelism), np.array_split(pq_paths, parallelism), - np.array_split(pq_metadata, parallelism), ): if len(fragments) <= 0: continue - meta = self._meta_provider( - paths, - num_fragments=len(fragments), - prefetched_metadata=metadata, + meta = BlockMetadata( + num_rows=None, + size_bytes=self._estimate_in_mem_size(fragments), + input_files=paths, + exec_stats=None, ) - # If there is a filter operation, reset the calculated row count, - # since the resulting row count is unknown. - if self._to_batches_kwargs.get("filter") is not None: - meta.num_rows = None - - if meta.size_bytes is not None: - meta.size_bytes = int(meta.size_bytes * self._encoding_ratio) ( block_udf, @@ -405,7 +372,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: ) = ( self._block_udf, self._to_batches_kwargs, - self._default_read_batch_size_rows, + self._default_batch_size, self._data_columns, self._partition_columns, self._read_schema, @@ -444,6 +411,11 @@ def get_name(self): def supports_distributed_reads(self) -> bool: return self._supports_distributed_reads + def _estimate_in_mem_size(self, fragments: List[_ParquetFragment]) -> int: + in_mem_size = sum([f.file_size for f in fragments]) * self._encoding_ratio + + return round(in_mem_size) + def read_fragments( block_udf, @@ -452,7 +424,7 @@ def read_fragments( data_columns, partition_columns, schema, - fragments: List["ParquetFileFragment"], + fragments: List[_ParquetFragment], include_paths: bool, partitioning: Partitioning, ) -> Iterator["pyarrow.Table"]: @@ -465,13 +437,14 @@ def read_fragments( import pyarrow as pa logger.debug(f"Reading {len(fragments)} parquet fragments") + use_threads = to_batches_kwargs.pop("use_threads", False) batch_size = to_batches_kwargs.pop("batch_size", default_read_batch_size_rows) for fragment in fragments: partitions = {} if partitioning is not None: parse = PathPartitionParser(partitioning) - partitions = parse(fragment.path) + partitions = parse(fragment.original.path) # Filter out partitions that aren't in the user-specified columns list. if partition_columns is not None: @@ -485,7 +458,7 @@ def get_batch_iterable(): if batch_size is not None: to_batches_kwargs["batch_size"] = batch_size - return fragment.to_batches( + return fragment.original.to_batches( use_threads=use_threads, columns=data_columns, schema=schema, @@ -501,7 +474,7 @@ def get_batch_iterable(): table = pa.Table.from_batches([batch], schema=schema) if include_paths: table = BlockAccessor.for_block(table).fill_column( - "path", fragment.path + "path", fragment.original.path ) if partitions: table = _add_partitions_to_table(partitions, table) @@ -514,56 +487,77 @@ def get_batch_iterable(): yield table -def _sample_fragment( - to_batches_kwargs, - columns, - schema, - fragment: "ParquetFileFragment", -) -> _SampleInfo: +def _fetch_parquet_file_info( + fragment: _ParquetFragment, + *, + columns: Optional[List[str]], + schema: Optional["pyarrow.Schema"], +) -> Optional["_ParquetFileInfo"]: # If the fragment has no row groups, it's an empty or metadata-only file. # Skip it by returning empty sample info. - if fragment.metadata.num_row_groups == 0: - return _SampleInfo(actual_bytes_per_row=None, estimated_bytes_per_row=None) + # + # NOTE: Accessing `ParquetFileFragment.metadata` does fetch a parquet footer + # from storage + metadata = fragment.original.metadata + + if metadata.num_row_groups == 0: + return None # Only sample the first row group. - fragment = fragment.subset(row_group_ids=[0]) + row_group_fragment = fragment.original.subset(row_group_ids=[0]) batch_size = max( - min(fragment.metadata.num_rows, PARQUET_ENCODING_RATIO_ESTIMATE_NUM_ROWS), 1 + min( + row_group_fragment.metadata.num_rows, + PARQUET_ENCODING_RATIO_ESTIMATE_NUM_ROWS, + ), + 1, ) - # Use the batch_size calculated above, and ignore the one specified by user if set. - # This is to avoid sampling too few or too many rows. - to_batches_kwargs.pop("batch_size", None) - batches = fragment.to_batches( + + to_batches_kwargs = {} + + if get_pyarrow_version() >= MIN_PYARROW_TO_BATCHES_READAHEAD: + # Limit prefetching to just 1 batch + to_batches_kwargs["batch_readahead"] = 1 + + batches_iter = row_group_fragment.to_batches( columns=columns, schema=schema, batch_size=batch_size, **to_batches_kwargs, ) - # Use first batch in-memory size for estimation. - try: - batch = next(batches) - except StopIteration: - sample_data = _SampleInfo( - actual_bytes_per_row=None, estimated_bytes_per_row=None - ) - else: + + avg_row_size: Optional[int] = None + # Use first batch non-empty batch to estimate the avg size of the + # row in-memory + for batch in batches_iter: if batch.num_rows > 0: - metadata = fragment.metadata - total_size = 0 - for idx in range(metadata.num_row_groups): - total_size += metadata.row_group(idx).total_byte_size - sample_data = _SampleInfo( - actual_bytes_per_row=batch.nbytes / batch.num_rows, - estimated_bytes_per_row=total_size / metadata.num_rows, - ) - else: - sample_data = _SampleInfo( - actual_bytes_per_row=None, estimated_bytes_per_row=None - ) - return sample_data + avg_row_size = math.ceil(batch.nbytes / batch.num_rows) + break + return _ParquetFileInfo( + avg_row_in_mem_bytes=avg_row_size, + metadata=metadata, + ) -def estimate_files_encoding_ratio(sample_infos: List[_SampleInfo]) -> float: + +@dataclass +class _ParquetFileInfo: + # Estimated avg byte size of a row (in-memory) + avg_row_in_mem_bytes: Optional[int] + # Corresponding file metadata + metadata: "pyarrow._parquet.FileMetaData" + + def estimate_in_memory_bytes(self) -> Optional[int]: + if self.avg_row_in_mem_bytes is None: + return None + + return self.avg_row_in_mem_bytes * self.metadata.num_rows + + +def _estimate_files_encoding_ratio( + fragments: List[_ParquetFragment], + file_infos: List[_ParquetFileInfo], +) -> float: """Return an estimate of the Parquet files encoding ratio. To avoid OOMs, it is safer to return an over-estimate than an underestimate. @@ -571,46 +565,90 @@ def estimate_files_encoding_ratio(sample_infos: List[_SampleInfo]) -> float: if not DataContext.get_current().decoding_size_estimation: return PARQUET_ENCODING_RATIO_ESTIMATE_DEFAULT - def compute_encoding_ratio(sample_info: _SampleInfo) -> float: - if ( - sample_info.actual_bytes_per_row is None - or sample_info.estimated_bytes_per_row is None - ): - return PARQUET_ENCODING_RATIO_ESTIMATE_LOWER_BOUND - else: - return ( - sample_info.actual_bytes_per_row / sample_info.estimated_bytes_per_row + assert len(file_infos) == len(fragments) + + # Estimate size of the rows in a file in memory + estimated_in_mem_size_arr = [ + fi.estimate_in_memory_bytes() if fi is not None else None for fi in file_infos + ] + + file_size_arr = [f.file_size for f in fragments] + + estimated_encoding_ratios = [ + float(in_mem_size) / file_size + for in_mem_size, file_size in zip(estimated_in_mem_size_arr, file_size_arr) + if file_size > 0 and in_mem_size is not None + ] + + # Return default estimate of 5 if all sampled files turned out to be empty + if not estimated_encoding_ratios: + return PARQUET_ENCODING_RATIO_ESTIMATE_DEFAULT + + estimated_ratio = np.mean(estimated_encoding_ratios) + + logger.info(f"Estimated parquet encoding ratio is {estimated_ratio:.3f}.") + + return max(estimated_ratio, PARQUET_ENCODING_RATIO_ESTIMATE_LOWER_BOUND) + + +def _fetch_file_infos( + sampled_fragments: List[_ParquetFragment], + *, + columns: Optional[List[str]], + schema: Optional["pyarrow.Schema"], + local_scheduling: Optional[bool], +) -> List[Optional[_ParquetFileInfo]]: + fetc_file_info = cached_remote_fn(_fetch_parquet_file_info) + futures = [] + + for fragment in sampled_fragments: + # Sample the first rows batch in i-th file. + # Use SPREAD scheduling strategy to avoid packing many sampling tasks on + # same machine to cause OOM issue, as sampling can be memory-intensive. + futures.append( + fetc_file_info.options( + scheduling_strategy=local_scheduling + or DataContext.get_current().scheduling_strategy, + # Retry in case of transient errors during sampling. + retry_exceptions=[OSError], + ).remote( + fragment, + columns=columns, + schema=schema, ) + ) - ratio = np.mean(list(map(compute_encoding_ratio, sample_infos))) - logger.debug(f"Estimated Parquet encoding ratio from sampling is {ratio}.") - return max(ratio, PARQUET_ENCODING_RATIO_ESTIMATE_LOWER_BOUND) + sample_bar = ProgressBar("Parquet dataset sampling", len(futures), unit="file") + file_infos = sample_bar.fetch_until_complete(futures) + sample_bar.close() + return file_infos -def estimate_default_read_batch_size_rows( - sample_infos: List[_SampleInfo], + +def _estimate_reader_batch_size( + file_infos: List[Optional[_ParquetFileInfo]], target_block_size: Optional[int] ) -> Optional[int]: - ctx = DataContext.get_current() - if ctx.target_max_block_size is None: + if target_block_size is None: return None - def compute_batch_size_rows(sample_info: _SampleInfo) -> int: - # 'actual_bytes_per_row' is None if the sampled file was empty and 0 if the data - # was all null. - if not sample_info.actual_bytes_per_row: - return PARQUET_READER_ROW_BATCH_SIZE - else: - max_parquet_reader_row_batch_size_bytes = ctx.target_max_block_size // 10 - return max( - 1, - min( - PARQUET_READER_ROW_BATCH_SIZE, - max_parquet_reader_row_batch_size_bytes - // sample_info.actual_bytes_per_row, - ), - ) + avg_num_rows_per_block = [ + target_block_size / fi.avg_row_in_mem_bytes + for fi in file_infos + if ( + fi is not None + and fi.avg_row_in_mem_bytes is not None + and fi.avg_row_in_mem_bytes > 0 + ) + ] + + if not avg_num_rows_per_block: + return DEFAULT_PARQUET_READER_ROW_BATCH_SIZE - return np.mean(list(map(compute_batch_size_rows, sample_infos))) + estimated_batch_size: int = max(math.ceil(np.mean(avg_num_rows_per_block)), 1) + + logger.info(f"Estimated parquet reader batch size at {estimated_batch_size} rows") + + return estimated_batch_size def get_parquet_dataset(paths, filesystem, dataset_kwargs): @@ -634,19 +672,10 @@ def get_parquet_dataset(paths, filesystem, dataset_kwargs): return dataset -def sample_fragments( - serialized_fragments, - *, - to_batches_kwargs, - columns, - schema, - local_scheduling=None, -) -> List[_SampleInfo]: - # Sample a few rows from Parquet files to estimate the encoding ratio. - # Launch tasks to sample multiple files remotely in parallel. - # Evenly distributed to sample N rows in i-th row group in i-th file. - # TODO(ekl/cheng) take into account column pruning. - num_files = len(serialized_fragments) +def _sample_fragments( + fragments: List[_ParquetFragment], +) -> List[_ParquetFragment]: + num_files = len(fragments) num_samples = int(num_files * PARQUET_ENCODING_RATIO_ESTIMATE_SAMPLING_RATIO) min_num_samples = min(PARQUET_ENCODING_RATIO_ESTIMATE_MIN_NUM_SAMPLES, num_files) max_num_samples = min(PARQUET_ENCODING_RATIO_ESTIMATE_MAX_NUM_SAMPLES, num_files) @@ -654,36 +683,11 @@ def sample_fragments( # Evenly distributed to choose which file to sample, to avoid biased prediction # if data is skewed. - file_samples = [ - serialized_fragments[idx] + return [ + fragments[idx] for idx in np.linspace(0, num_files - 1, num_samples).astype(int).tolist() ] - sample_fragment = cached_remote_fn(_sample_fragment) - futures = [] - scheduling = local_scheduling or DataContext.get_current().scheduling_strategy - for sample in file_samples: - # Sample the first rows batch in i-th file. - # Use SPREAD scheduling strategy to avoid packing many sampling tasks on - # same machine to cause OOM issue, as sampling can be memory-intensive. - futures.append( - sample_fragment.options( - scheduling_strategy=scheduling, - # Retry in case of transient errors during sampling. - retry_exceptions=[OSError], - ).remote( - to_batches_kwargs, - columns, - schema, - sample, - ) - ) - sample_bar = ProgressBar("Parquet Files Sample", len(futures), unit="file") - sample_infos = sample_bar.fetch_until_complete(futures) - sample_bar.close() - - return sample_infos - def _add_partitions_to_table( partitions: Dict[str, PartitionDataType], table: "pyarrow.Table" diff --git a/python/ray/data/datasource/__init__.py b/python/ray/data/datasource/__init__.py index ef2eca5977ed..1e76f1bfd9d0 100644 --- a/python/ray/data/datasource/__init__.py +++ b/python/ray/data/datasource/__init__.py @@ -28,7 +28,6 @@ FileMetadataProvider, ) from ray.data.datasource.filename_provider import FilenameProvider -from ray.data.datasource.parquet_meta_provider import ParquetMetadataProvider from ray.data.datasource.partitioning import ( Partitioning, PartitionStyle, @@ -53,7 +52,6 @@ "FileShuffleConfig", "FileMetadataProvider", "FilenameProvider", - "ParquetMetadataProvider", "PartitionStyle", "PathPartitionFilter", "PathPartitionParser", diff --git a/python/ray/data/datasource/file_meta_provider.py b/python/ray/data/datasource/file_meta_provider.py index 354f761d9651..5d3b2b55cb45 100644 --- a/python/ray/data/datasource/file_meta_provider.py +++ b/python/ray/data/datasource/file_meta_provider.py @@ -37,7 +37,6 @@ class FileMetadataProvider: Current subclasses: - :class:`BaseFileMetadataProvider` - - :class:`ParquetMetadataProvider` """ def _get_block_metadata( diff --git a/python/ray/data/datasource/parquet_meta_provider.py b/python/ray/data/datasource/parquet_meta_provider.py deleted file mode 100644 index 25b33f27411e..000000000000 --- a/python/ray/data/datasource/parquet_meta_provider.py +++ /dev/null @@ -1,236 +0,0 @@ -import logging -from dataclasses import dataclass, field -from typing import TYPE_CHECKING, List, Optional, Tuple - -from ray.data._internal.util import call_with_retry -from ray.data.block import BlockMetadata -from ray.data.datasource.file_meta_provider import ( - FileMetadataProvider, - _fetch_metadata_parallel, -) -from ray.util.annotations import DeveloperAPI - -if TYPE_CHECKING: - import pyarrow - from pyarrow.dataset import ParquetFileFragment - - -FRAGMENTS_PER_META_FETCH = 6 -PARALLELIZE_META_FETCH_THRESHOLD = 24 - -# The application-level exceptions to retry for metadata prefetching task. -# Default to retry on access denied and read timeout errors because AWS S3 would throw -# these transient errors when load is too high. -RETRY_EXCEPTIONS_FOR_META_FETCH_TASK = ["AWS Error ACCESS_DENIED", "Timeout"] -# Maximum number of retries for metadata prefetching task due to transient errors. -RETRY_MAX_ATTEMPTS_FOR_META_FETCH_TASK = 32 -# Maximum retry back-off interval in seconds for failed metadata prefetching task. -RETRY_MAX_BACKOFF_S_FOR_META_FETCH_TASK = 64 - - -logger = logging.getLogger(__name__) - - -@DeveloperAPI(stability="alpha") -@dataclass -class ParquetFileMetadata: - num_bytes: int - num_rows: Optional[int] = field(default=None) - - @classmethod - def from_(cls, pqm: "pyarrow.parquet.FileMetaData"): - return ParquetFileMetadata( - num_rows=pqm.num_rows, - num_bytes=_get_total_bytes(pqm), - ) - - -@DeveloperAPI -class ParquetMetadataProvider(FileMetadataProvider): - """Provides block metadata for Arrow Parquet file fragments.""" - - def _get_block_metadata( - self, - paths: List[str], - *, - num_fragments: int, - prefetched_metadata: Optional[List["ParquetFileMetadata"]], - ) -> BlockMetadata: - """Resolves and returns block metadata for files of a single dataset block. - - Args: - paths: The file paths for a single dataset block. - num_fragments: The number of Parquet file fragments derived from the input - file paths. - prefetched_metadata: Metadata previously returned from - `prefetch_file_metadata()` for each file fragment, where - `prefetched_metadata[i]` contains the metadata for `fragments[i]`. - - Returns: - BlockMetadata aggregated across the given file paths. - """ - if ( - prefetched_metadata is not None - and len(prefetched_metadata) == num_fragments - and all(m is not None for m in prefetched_metadata) - ): - total_bytes, total_rows = self._derive_totals(prefetched_metadata) - - # Fragment metadata was available, construct a normal - # BlockMetadata. - block_metadata = BlockMetadata( - num_rows=total_rows, - size_bytes=total_bytes, - input_files=paths, - exec_stats=None, - ) # Exec stats filled in later. - else: - # Fragment metadata was not available, construct an empty - # BlockMetadata. - block_metadata = BlockMetadata( - num_rows=None, - size_bytes=None, - input_files=paths, - exec_stats=None, - ) - return block_metadata - - @staticmethod - def _derive_totals( - prefetched_metadata: List["ParquetFileMetadata"], - ) -> Tuple[int, int]: - total_bytes = 0 - total_rows = 0 - - for m in prefetched_metadata: - total_bytes += m.num_bytes - - if total_rows is not None: - if m.num_rows is not None: - total_rows += m.num_rows - else: - total_rows = None - - return total_bytes, total_rows - - def prefetch_file_metadata( - self, - fragments: List["pyarrow.dataset.ParquetFileFragment"], - **ray_remote_args, - ) -> Optional[List[ParquetFileMetadata]]: - """Pre-fetches file metadata for all Parquet file fragments in a single batch. - - Subsets of the metadata returned will be provided as input to subsequent calls - to ``_get_block_metadata`` together with their corresponding Parquet file - fragments. - - Args: - fragments: The Parquet file fragments to fetch metadata for. - - Returns: - Metadata resolved for each input file fragment, or `None`. Metadata - must be returned in the same order as all input file fragments, such - that `metadata[i]` always contains the metadata for `fragments[i]`. - """ - from ray.data._internal.datasource.parquet_datasource import ( - _NoIOSerializableFragmentWrapper, - ) - - if len(fragments) > PARALLELIZE_META_FETCH_THRESHOLD: - # Wrap Parquet fragments in serialization workaround. - fragments = [ - _NoIOSerializableFragmentWrapper(fragment) for fragment in fragments - ] - # Fetch Parquet metadata in parallel using Ray tasks. - def _remote_fetch(fragments: List["ParquetFileFragment"]): - return _fetch_metadata_with_retry( - fragments, - # Ensure that retry settings are propagated to remote tasks. - retry_match=RETRY_EXCEPTIONS_FOR_META_FETCH_TASK, - retry_max_attempts=RETRY_MAX_ATTEMPTS_FOR_META_FETCH_TASK, - retry_max_interval=RETRY_MAX_BACKOFF_S_FOR_META_FETCH_TASK, - ) - - raw_metadata = list( - _fetch_metadata_parallel( - fragments, - _remote_fetch, - FRAGMENTS_PER_META_FETCH, - **ray_remote_args, - ) - ) - - return raw_metadata - - else: - # We don't deduplicate schemas in this branch because they're already - # deduplicated in `_fetch_metadata`. See - # https://github.com/ray-project/ray/pull/54821/files#r2265140929 for - # related discussion. - raw_metadata = _fetch_metadata(fragments) - return raw_metadata - - -def _fetch_metadata_with_retry( - fragments: List["ParquetFileFragment"], - retry_match: Optional[List[str]], - retry_max_attempts: int, - retry_max_interval: int, -) -> List["ParquetFileMetadata"]: - try: - metadata = call_with_retry( - lambda: _fetch_metadata(fragments), - description="fetch metdata", - match=retry_match, - max_attempts=retry_max_attempts, - max_backoff_s=retry_max_interval, - ) - except OSError as e: - raise RuntimeError( - f"Exceeded maximum number of attempts ({retry_max_attempts}) to retry " - "metadata fetching task. Metadata fetching tasks can fail due to transient " - "errors like rate limiting.\n" - "\n" - "To increase the maximum number of attempts, configure " - "`RETRY_MAX_ATTEMPTS_FOR_META_FETCH_TASK`. For example:\n" - "```\n" - "ray.data._internal.datasource.parquet_datasource.RETRY_MAX_ATTEMPTS_FOR_META_FETCH_TASK = 64\n" # noqa: E501 - "```\n" - "To increase the maximum retry backoff interval, configure " - "`RETRY_MAX_BACKOFF_S_FOR_META_FETCH_TASK`. For example:\n" - "```\n" - "ray.data._internal.datasource.parquet_datasource.RETRY_MAX_BACKOFF_S_FOR_META_FETCH_TASK = 128\n" # noqa: E501 - "```\n" - "If the error continues to occur, you can also try decresasing the " - "concurency of metadata fetching tasks by setting " - "`NUM_CPUS_FOR_META_FETCH_TASK` to a larger value. For example:\n" - "```\n" - "ray.data._internal.datasource.parquet_datasource.NUM_CPUS_FOR_META_FETCH_TASK = 4.\n" # noqa: E501 - "```\n" - "To change which exceptions to retry on, set " - "`RETRY_EXCEPTIONS_FOR_META_FETCH_TASK` to a list of error messages. For " - "example:\n" - "```\n" - 'ray.data._internal.datasource.parquet_datasource.RETRY_EXCEPTIONS_FOR_META_FETCH_TASK = ["AWS Error ACCESS_DENIED", "Timeout"]\n' # noqa: E501 - "```" - ) from e - return metadata - - -def _fetch_metadata( - fragments: List["pyarrow.dataset.ParquetFileFragment"], -) -> List["ParquetFileMetadata"]: - fragment_metadatas = [] - for f in fragments: - try: - # Convert directly to _ParquetFileFragmentMetaData - fragment_metadatas.append(ParquetFileMetadata.from_(f.metadata)) - except AttributeError as ae: - logger.warning(f"Failed to extract metadata from parquet file: {ae}") - break - # Deduplicate schemas to reduce memory usage - return fragment_metadatas - - -def _get_total_bytes(pqm: "pyarrow.parquet.FileMetaData") -> int: - return sum(pqm.row_group(i).total_byte_size for i in range(pqm.num_row_groups)) diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 80ae80d4ff04..5ead3a4eead5 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -95,8 +95,8 @@ from ray.data.datasource.file_meta_provider import ( DefaultFileMetadataProvider, FastFileMetadataProvider, + FileMetadataProvider, ) -from ray.data.datasource.parquet_meta_provider import ParquetMetadataProvider from ray.data.datasource.partitioning import Partitioning from ray.types import ObjectRef from ray.util.annotations import Deprecated, DeveloperAPI, PublicAPI @@ -801,7 +801,7 @@ def read_parquet( parallelism: int = -1, ray_remote_args: Dict[str, Any] = None, tensor_column_schema: Optional[Dict[str, Tuple[np.dtype, Tuple[int, ...]]]] = None, - meta_provider: Optional[ParquetMetadataProvider] = None, + meta_provider: Optional[FileMetadataProvider] = None, partition_filter: Optional[PathPartitionFilter] = None, partitioning: Optional[Partitioning] = Partitioning("hive"), shuffle: Optional[Union[Literal["files"], FileShuffleConfig]] = None, @@ -937,8 +937,6 @@ def read_parquet( _emit_meta_provider_deprecation_warning(meta_provider) _validate_shuffle_arg(shuffle) - if meta_provider is None: - meta_provider = ParquetMetadataProvider() arrow_parquet_args = _resolve_parquet_args( tensor_column_schema, **arrow_parquet_args, @@ -3886,7 +3884,7 @@ def read_delta( columns: Optional[List[str]] = None, parallelism: int = -1, ray_remote_args: Optional[Dict[str, Any]] = None, - meta_provider: Optional[ParquetMetadataProvider] = None, + meta_provider: Optional[FileMetadataProvider] = None, partition_filter: Optional[PathPartitionFilter] = None, partitioning: Optional[Partitioning] = Partitioning("hive"), shuffle: Union[Literal["files"], None] = None, diff --git a/python/ray/data/tests/test_metadata_provider.py b/python/ray/data/tests/test_metadata_provider.py index c67e0890d506..b8d49544c9da 100644 --- a/python/ray/data/tests/test_metadata_provider.py +++ b/python/ray/data/tests/test_metadata_provider.py @@ -6,8 +6,6 @@ from unittest.mock import patch import pandas as pd -import pyarrow as pa -import pyarrow.parquet as pq import pytest from pyarrow.fs import LocalFileSystem from pytest_lazy_fixtures import lf as lazy_fixture @@ -17,7 +15,6 @@ DefaultFileMetadataProvider, FastFileMetadataProvider, FileMetadataProvider, - ParquetMetadataProvider, ) from ray.data.datasource.file_based_datasource import ( FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD, @@ -27,7 +24,6 @@ _get_file_infos_parallel, _get_file_infos_serial, ) -from ray.data.datasource.parquet_meta_provider import _get_total_bytes from ray.data.datasource.path_util import ( _resolve_paths_and_filesystem, _unwrap_protocol, @@ -65,57 +61,6 @@ def test_file_metadata_providers_not_implemented(): meta_provider.expand_paths(["/foo/bar.csv"], None) -@pytest.mark.parametrize( - "fs,data_path", - [ - (None, lazy_fixture("local_path")), - (lazy_fixture("local_fs"), lazy_fixture("local_path")), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path")), - ( - lazy_fixture("s3_fs_with_space"), - lazy_fixture("s3_path_with_space"), - ), # Path contains space. - ( - lazy_fixture("s3_fs_with_special_chars"), - lazy_fixture("s3_path_with_special_chars"), - ), - ], -) -def test_default_parquet_metadata_provider(fs, data_path): - path_module = os.path if urllib.parse.urlparse(data_path).scheme else posixpath - paths = [ - path_module.join(data_path, "test1.parquet"), - path_module.join(data_path, "test2.parquet"), - ] - paths, fs = _resolve_paths_and_filesystem(paths, fs) - - df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - table = pa.Table.from_pandas(df1) - pq.write_table(table, paths[0], filesystem=fs) - df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - table = pa.Table.from_pandas(df2) - pq.write_table(table, paths[1], filesystem=fs) - - meta_provider = ParquetMetadataProvider() - pq_ds = pq.ParquetDataset(paths, filesystem=fs) - fragment_file_metas = meta_provider.prefetch_file_metadata(pq_ds.fragments) - - meta = meta_provider( - [p.path for p in pq_ds.fragments], - num_fragments=len(pq_ds.fragments), - prefetched_metadata=fragment_file_metas, - ) - - expected_meta_size_bytes = sum( - [_get_total_bytes(f.metadata) for f in pq_ds.fragments] - ) - - assert meta.size_bytes == expected_meta_size_bytes - assert meta.num_rows == 6 - assert len(paths) == 2 - assert all(path in meta.input_files for path in paths) - - @pytest.mark.parametrize( "fs,data_path,endpoint_url", [ diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index 67a517cfc002..08471a7653c3 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -21,17 +21,15 @@ from ray.data import FileShuffleConfig, Schema from ray.data._internal.datasource.parquet_bulk_datasource import ParquetBulkDatasource from ray.data._internal.datasource.parquet_datasource import ( - NUM_CPUS_FOR_META_FETCH_TASK, ParquetDatasource, ) from ray.data._internal.execution.interfaces.ref_bundle import ( _ref_bundles_iterator_to_block_refs_list, ) from ray.data._internal.util import rows_same -from ray.data.block import BlockAccessor, BlockMetadata +from ray.data.block import BlockAccessor from ray.data.context import DataContext -from ray.data.datasource import DefaultFileMetadataProvider, ParquetMetadataProvider -from ray.data.datasource.parquet_meta_provider import PARALLELIZE_META_FETCH_THRESHOLD +from ray.data.datasource import DefaultFileMetadataProvider from ray.data.datasource.partitioning import Partitioning, PathPartitionFilter from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa @@ -177,143 +175,6 @@ def test_parquet_read_basic( assert sorted(values) == [1, 2, 3, 4, 5, 6] -@pytest.mark.parametrize( - "fs,data_path", - [ - (None, lazy_fixture("local_path")), - (lazy_fixture("local_fs"), lazy_fixture("local_path")), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path")), - ( - lazy_fixture("s3_fs_with_anonymous_crendential"), - lazy_fixture("s3_path_with_anonymous_crendential"), - ), - ], -) -def test_parquet_read_meta_provider(ray_start_regular_shared, fs, data_path): - df1 = pd.DataFrame({"one": range(30_000), "two": ["a", "b", "c"] * 10_000}) - table = pa.Table.from_pandas(df1) - setup_data_path = _unwrap_protocol(data_path) - path1 = os.path.join(setup_data_path, "test1.parquet") - pq.write_table(table, path1, filesystem=fs) - df2 = pd.DataFrame({"one": range(30_000, 60_000), "two": ["e", "f", "g"] * 10000}) - table = pa.Table.from_pandas(df2) - path2 = os.path.join(setup_data_path, "test2.parquet") - pq.write_table(table, path2, filesystem=fs) - - expected_num_rows = len(df1) + len(df2) - # NOTE: Since we're testing against various Pyarrow versions size - # on disk could be varying slightly as it on top of data it also - # includes metadata - expected_byte_size = pytest.approx(463500, abs=500) - - # - # Case 1: Test metadata fetching happy path (obtaining, caching and propagating - # metadata) - # - - class AssertingMetadataProvider(ParquetMetadataProvider): - def prefetch_file_metadata(self, fragments, **ray_remote_args): - assert ray_remote_args["num_cpus"] == NUM_CPUS_FOR_META_FETCH_TASK - assert ( - ray_remote_args["scheduling_strategy"] - == DataContext.get_current().scheduling_strategy - ) - return super().prefetch_file_metadata(fragments, **ray_remote_args) - - ds = ray.data.read_parquet( - data_path, - filesystem=fs, - meta_provider=AssertingMetadataProvider(), - ) - - # Expect precomputed row counts and block sizes to be missing. - assert ds._meta_count() is None - - read_op = ds._plan._logical_plan.dag - - # Assert Read op metadata propagation - metadata = read_op.infer_metadata() - # NOTE: We assert on byte size separately, since we're using `pytest.approx` - # object for it - assert metadata.size_bytes == expected_byte_size - - assert metadata == BlockMetadata( - num_rows=None, - size_bytes=metadata.size_bytes, - exec_stats=None, - input_files=[path1, path2], - ) - - expected_schema = pa.schema({"one": pa.int64(), "two": pa.string()}) - - assert read_op.infer_schema().equals(expected_schema) - - # Expected - # - Fetched Parquet metadata to be reused - # - *No* dataset execution performed - assert ds.count() == expected_num_rows - assert ds.size_bytes() == expected_byte_size - assert ds.schema() == Schema(expected_schema) - assert set(ds.input_files()) == {path1, path2} - - assert not ds._plan.has_computed_output() - - expected_values = list( - zip(range(60_000), ["a", "b", "c"] * 10_000 + ["e", "f", "g"] * 10_000) - ) - - values = [(s["one"], s["two"]) for s in ds.take(60000)] - - exec_stats = ds._plan._snapshot_stats - read_stats = exec_stats.parents[0] - - # Assert that ref-bundles - # - Passed to ReadParquet hold metadata matching actual bundle - # - Produced by ReadParquet reflects actual amount of bytes read - assert read_stats.base_name == "ReadParquet" - # NOTE: Size of the task should be ~5kb, but could vary from platform to platform - # alas for different Python versions. However, it is substantially smaller - # than the dataset itself (~750kb) - assert read_stats.extra_metrics["average_bytes_inputs_per_task"] < 10_000 - - # TODO stats are broken for iteration-based executions due to the fact - # that returned stats object is obtained before iteration completes, - # hence not capturing the final state of the pipeline - # assert ( - # read_stats.extra_metrics["bytes_task_outputs_generated"] == expected_byte_size - # ) - - assert sorted(values) == expected_values - - # - # Case 2: Test metadata fetching *failing* (falling back to actually - # executing the dataset) - # - - class FailingMetadataProvider(ParquetMetadataProvider): - def prefetch_file_metadata(self, fragments, **ray_remote_args): - assert ray_remote_args["num_cpus"] == NUM_CPUS_FOR_META_FETCH_TASK - assert ( - ray_remote_args["scheduling_strategy"] - == DataContext.get_current().scheduling_strategy - ) - return None - - ds = ray.data.read_parquet( - data_path, - filesystem=fs, - meta_provider=FailingMetadataProvider(), - ) - - # Expected - # - Fetched Parquet metadata is not used (returns null), hence - # - Dataset execution has to be performed - assert ds.count() == expected_num_rows - assert ds.size_bytes() == expected_byte_size - assert ds.schema() == Schema(expected_schema) - assert set(ds.input_files()) == {path1, path2} - - @pytest.mark.parametrize( "fs,data_path", [ @@ -790,49 +651,6 @@ def _block_udf(block: pa.Table): np.testing.assert_array_equal(sorted(ones), np.array(one_data[:2]) + 1) -@pytest.mark.parametrize( - "fs,data_path", - [ - (None, lazy_fixture("local_path")), - (lazy_fixture("local_fs"), lazy_fixture("local_path")), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path")), - (lazy_fixture("s3_fs_with_space"), lazy_fixture("s3_path_with_space")), - ( - lazy_fixture("s3_fs_with_anonymous_crendential"), - lazy_fixture("s3_path_with_anonymous_crendential"), - ), - ], -) -def test_parquet_read_parallel_meta_fetch( - ray_start_regular_shared, fs, data_path, target_max_block_size_infinite_or_default -): - setup_data_path = _unwrap_protocol(data_path) - num_dfs = PARALLELIZE_META_FETCH_THRESHOLD + 1 - for idx in range(num_dfs): - df = pd.DataFrame({"one": list(range(3 * idx, 3 * (idx + 1)))}) - table = pa.Table.from_pandas(df) - path = os.path.join(setup_data_path, f"test_{idx}.parquet") - pq.write_table(table, path, filesystem=fs) - - parallelism = 8 - ds = ray.data.read_parquet( - data_path, filesystem=fs, override_num_blocks=parallelism - ) - - # Test metadata-only parquet ops. - assert ds.count() == num_dfs * 3 - assert ds.size_bytes() > 0 - # Schema information and input files are available from Parquet metadata, - # so we do not need to compute the first block. - assert ds.schema() is not None - input_files = ds.input_files() - assert len(input_files) == num_dfs, input_files - - # Forces a data read. - values = [s["one"] for s in ds.take(limit=3 * num_dfs)] - assert sorted(values) == list(range(3 * num_dfs)) - - def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): ctx = ray.data.context.DataContext.get_current() old_decoding_size_estimation = ctx.decoding_size_estimation @@ -844,9 +662,7 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): ray.data.range_tensor( 1000, shape=(1000,), override_num_blocks=10 ).write_parquet(tensor_output_path) - ds = ray.data.read_parquet( - tensor_output_path, meta_provider=ParquetMetadataProvider() - ) + ds = ray.data.read_parquet(tensor_output_path) assert ds._plan.initial_num_blocks() > 1 data_size = ds.size_bytes() assert ( @@ -857,9 +673,7 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): data_size >= 7_000_000 and data_size <= 10_000_000 ), "actual data size is out of expected bound" - datasource = ParquetDatasource( - tensor_output_path, meta_provider=ParquetMetadataProvider() - ) + datasource = ParquetDatasource(tensor_output_path) assert ( datasource._encoding_ratio >= 300 and datasource._encoding_ratio <= 600 ), "encoding ratio is out of expected bound" @@ -869,43 +683,35 @@ def test_parquet_reader_estimate_data_size(shutdown_only, tmp_path): ), "estimated data size is either out of expected bound" assert ( data_size - == ParquetDatasource( - tensor_output_path, meta_provider=ParquetMetadataProvider() - ).estimate_inmemory_data_size() + == ParquetDatasource(tensor_output_path).estimate_inmemory_data_size() ), "estimated data size is not deterministic in multiple calls." text_output_path = os.path.join(tmp_path, "text") ray.data.range(1000).map(lambda _: {"text": "a" * 1000}).write_parquet( text_output_path ) - ds = ray.data.read_parquet( - text_output_path, meta_provider=ParquetMetadataProvider() - ) + ds = ray.data.read_parquet(text_output_path) assert ds._plan.initial_num_blocks() > 1 data_size = ds.size_bytes() assert ( - data_size >= 800_000 and data_size <= 2_200_000 + data_size >= 700_000 and data_size <= 2_200_000 ), "estimated data size is out of expected bound" data_size = ds.materialize().size_bytes() assert ( data_size >= 1_000_000 and data_size <= 2_000_000 ), "actual data size is out of expected bound" - datasource = ParquetDatasource( - text_output_path, meta_provider=ParquetMetadataProvider() - ) + datasource = ParquetDatasource(text_output_path) assert ( - datasource._encoding_ratio >= 9 and datasource._encoding_ratio <= 300 + datasource._encoding_ratio >= 6 and datasource._encoding_ratio <= 300 ), "encoding ratio is out of expected bound" data_size = datasource.estimate_inmemory_data_size() assert ( - data_size >= 800_000 and data_size <= 2_200_000 + data_size >= 700_000 and data_size <= 2_200_000 ), "estimated data size is out of expected bound" assert ( data_size - == ParquetDatasource( - text_output_path, meta_provider=ParquetMetadataProvider() - ).estimate_inmemory_data_size() + == ParquetDatasource(text_output_path).estimate_inmemory_data_size() ), "estimated data size is not deterministic in multiple calls." finally: ctx.decoding_size_estimation = old_decoding_size_estimation diff --git a/python/ray/data/tests/test_size_estimation.py b/python/ray/data/tests/test_size_estimation.py index 7615b1a3beea..d23610b86261 100644 --- a/python/ray/data/tests/test_size_estimation.py +++ b/python/ray/data/tests/test_size_estimation.py @@ -146,7 +146,7 @@ def gen(name): nrow = ds2._block_num_rows() assert 2 < len(nrow) < 5, nrow for x in nrow[:-1]: - assert 50000 < x < 95000, (x, nrow) + assert 50000 < x < 96000, (x, nrow) # 1MiB ctx.target_max_block_size = 1_000_000 From 03706c8c6c961b4966176e72878ea4efd18a3c5f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 5 Sep 2025 23:11:58 -0700 Subject: [PATCH 1077/1566] [lint] change API annotations and policy check triggers (#56289) so that they are limited ot python related changes, rather than all changes. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/lint.rayci.yml | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/.buildkite/lint.rayci.yml b/.buildkite/lint.rayci.yml index f45c826374c4..9762ce7a8261 100644 --- a/.buildkite/lint.rayci.yml +++ b/.buildkite/lint.rayci.yml @@ -35,11 +35,21 @@ steps: commands: - ./ci/lint/lint.sh pre_commit_pydoclint - - label: ":lint-roller: lint: {{matrix}}" + - label: ":lint-roller: python API: {{matrix}}" tags: - oss - - lint - - always + - python + - dashboard + - ray_client + - data + - serve + - ml + - tune + - train + - llm + - rllib + - rllib_gpu + - doc key: lint-medium instance_type: medium depends_on: docbuild From 8eaddb1214409d6736e1decb089ac972f2a04a79 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 5 Sep 2025 23:12:52 -0700 Subject: [PATCH 1078/1566] [deps] upgrade boto3 (#56291) upgrading boto3 --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- python/deplocks/llm/ray_py311_cpu.lock | 114 +++++++------ python/deplocks/llm/ray_py311_cu121.lock | 114 +++++++------ python/deplocks/llm/ray_py311_cu128.lock | 114 +++++++------ python/deplocks/llm/ray_test_py311_cpu.lock | 126 +++++++-------- python/deplocks/llm/ray_test_py311_cu121.lock | 126 +++++++-------- python/deplocks/llm/ray_test_py311_cu128.lock | 126 +++++++-------- python/deplocks/llm/rayllm_py311_cpu.lock | 114 +++++++------ python/deplocks/llm/rayllm_py311_cu121.lock | 114 +++++++------ python/deplocks/llm/rayllm_py311_cu128.lock | 114 +++++++------ .../deplocks/llm/rayllm_test_py311_cpu.lock | 126 +++++++-------- .../deplocks/llm/rayllm_test_py311_cu121.lock | 126 +++++++-------- .../deplocks/llm/rayllm_test_py311_cu128.lock | 126 +++++++-------- python/requirements/cloud-requirements.txt | 4 +- python/requirements/ml/core-requirements.txt | 2 +- python/requirements/ml/data-requirements.txt | 2 +- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 14 +- .../ray_release/byod/requirements_byod_3.9.in | 2 +- .../byod/requirements_byod_3.9.txt | 151 +++++++++--------- .../byod/requirements_ml_byod_3.9.in | 2 +- .../byod/requirements_ml_byod_3.9.txt | 24 +-- 21 files changed, 796 insertions(+), 847 deletions(-) diff --git a/python/deplocks/llm/ray_py311_cpu.lock b/python/deplocks/llm/ray_py311_cpu.lock index 8cd0117266c0..943eb4050549 100644 --- a/python/deplocks/llm/ray_py311_cpu.lock +++ b/python/deplocks/llm/ray_py311_cpu.lock @@ -649,9 +649,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt @@ -673,62 +673,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/ray_py311_cu121.lock b/python/deplocks/llm/ray_py311_cu121.lock index cdddd9e0dff0..e1d9eee4a8ef 100644 --- a/python/deplocks/llm/ray_py311_cu121.lock +++ b/python/deplocks/llm/ray_py311_cu121.lock @@ -649,9 +649,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt @@ -673,62 +673,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/ray_py311_cu128.lock b/python/deplocks/llm/ray_py311_cu128.lock index 5d6886ea1bf7..a685eb63910c 100644 --- a/python/deplocks/llm/ray_py311_cu128.lock +++ b/python/deplocks/llm/ray_py311_cu128.lock @@ -649,9 +649,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt @@ -673,62 +673,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index a8b64f17e94a..c142079eff8f 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -871,9 +871,9 @@ frozenlist==1.4.1 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -1005,62 +1005,58 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index cf09d162e9a3..87a35a550a95 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -871,9 +871,9 @@ frozenlist==1.4.1 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -1005,62 +1005,58 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index f514c628272b..ec467bbc1f61 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -871,9 +871,9 @@ frozenlist==1.4.1 \ # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements.txt @@ -1005,62 +1005,58 @@ googleapis-common-protos==1.61.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt diff --git a/python/deplocks/llm/rayllm_py311_cpu.lock b/python/deplocks/llm/rayllm_py311_cpu.lock index a11f2db1e997..89da379ee9c5 100644 --- a/python/deplocks/llm/rayllm_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -862,9 +862,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt @@ -894,62 +894,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/rayllm_py311_cu121.lock b/python/deplocks/llm/rayllm_py311_cu121.lock index 76431a88ef1b..7a291b4f9eac 100644 --- a/python/deplocks/llm/rayllm_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -862,9 +862,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt @@ -894,62 +894,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/rayllm_py311_cu128.lock b/python/deplocks/llm/rayllm_py311_cu128.lock index c0e933c02c02..41dcc9dce7dc 100644 --- a/python/deplocks/llm/rayllm_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -862,9 +862,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt @@ -894,62 +894,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - 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--hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index dc1ea6c32e2e..a64a3ea650a1 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt @@ -1075,9 +1075,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cpu.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt @@ -1215,62 +1215,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index eabbdaefa580..0f94bbb0514d 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt @@ -1075,9 +1075,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cu121.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt @@ -1215,62 +1215,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index 713e00a75f78..e4a81a7eab1d 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt @@ -1074,9 +1074,9 @@ frozenlist==1.4.1 \ # -c python/deplocks/llm/ray_test_py311_cu128.lock # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt @@ -1214,62 +1214,58 @@ googleapis-common-protos==1.61.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-api-core -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index 6f8677797288..faccc9caa716 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -12,8 +12,8 @@ smart_open[s3,gcs,azure,http] adlfs[abfs] # Anyscale CLI requirements -boto3>=1.26.76 -botocore>=1.19.52 +boto3==1.28.17 +botocore>=1.31.17,<1.32.0 aiohttp>=3.7.4.post0 certifi>=2024.8.30 Click>=7.0 diff --git a/python/requirements/ml/core-requirements.txt b/python/requirements/ml/core-requirements.txt index 7f0b2caed3b0..2d6948ccef11 100644 --- a/python/requirements/ml/core-requirements.txt +++ b/python/requirements/ml/core-requirements.txt @@ -12,4 +12,4 @@ transformers==4.36.2 accelerate==0.28.0 # Cloud storage tools -s3fs==2023.5.0 +s3fs==2023.12.1 diff --git a/python/requirements/ml/data-requirements.txt b/python/requirements/ml/data-requirements.txt index 14ec80e7d00c..94f628a17cf9 100644 --- a/python/requirements/ml/data-requirements.txt +++ b/python/requirements/ml/data-requirements.txt @@ -6,7 +6,7 @@ dask[complete]==2023.6.1; python_version < '3.12' distributed==2023.6.1; python_version < '3.12' dask[complete]==2025.5.0; python_version >= '3.12' distributed==2025.5.0; python_version >= '3.12' -aioboto3==11.2.0 +aioboto3==11.3.0 crc32c==2.3 flask_cors bokeh==2.4.3; python_version < '3.12' diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index 480b1eab6eb4..b59f858e70a1 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -10,7 +10,7 @@ azure-mgmt-network==25.4.0 azure-mgmt-resource==23.1.1 msrestazure==0.6.4 beautifulsoup4==4.11.1 -boto3==1.26.76 +boto3==1.28.17 # Todo: investigate if we can get rid of this and exchange for ray.cloudpickle cloudpickle==2.2.0 ; python_version < "3.12" cloudpickle==3.0.0 ; python_version >= "3.12" diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index 466bf856d272..ad16f111c782 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -34,9 +34,9 @@ aimrecords==0.0.7 # via aim aimrocks==0.5.2 # via aim -aioboto3==11.2.0 +aioboto3==11.3.0 # via -r python/requirements/ml/data-requirements.txt -aiobotocore==2.5.0 +aiobotocore==2.6.0 # via # aioboto3 # s3fs @@ -231,7 +231,7 @@ boltons==21.0.0 # semgrep boto==2.49.0 # via gcs-oauth2-boto-plugin -boto3==1.26.76 +boto3==1.28.17 # via # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt @@ -241,7 +241,7 @@ boto3==1.26.76 # moto # smart-open # snowflake-connector-python -botocore==1.29.76 +botocore==1.31.17 # via # -r python/requirements/cloud-requirements.txt # aiobotocore @@ -573,7 +573,7 @@ frozenlist==1.4.1 # aiosignal fs==2.4.16 # via triad -fsspec==2023.5.0 +fsspec==2023.12.1 # via # -r python/requirements.txt # adlfs @@ -703,7 +703,7 @@ graphviz==0.20.3 # via -r python/requirements/test-requirements.txt greenlet==3.0.1 # via sqlalchemy -grpcio==1.66.2 ; python_version >= "3.10" +grpcio==1.74.0 ; python_version >= "3.10" # via # -r python/requirements.txt # -r python/requirements/cloud-requirements.txt @@ -1965,7 +1965,7 @@ ruamel-yaml==0.17.40 # yahp ruamel-yaml-clib==0.2.8 # via ruamel-yaml -s3fs==2023.5.0 +s3fs==2023.12.1 # via -r python/requirements/ml/core-requirements.txt s3transfer==0.6.2 # via boto3 diff --git a/release/ray_release/byod/requirements_byod_3.9.in b/release/ray_release/byod/requirements_byod_3.9.in index be42c3f1f682..515cdcbb8d61 100644 --- a/release/ray_release/byod/requirements_byod_3.9.in +++ b/release/ray_release/byod/requirements_byod_3.9.in @@ -7,7 +7,7 @@ cmake crc32c cython fastapi -gcsfs==2023.5.0 +gcsfs==2023.12.1 gsutil gymnasium gymnasium[atari] diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 982e72c18612..1c291b2c3970 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -14,9 +14,9 @@ absl-py==1.4.0 \ # -c release/ray_release/byod/requirements_compiled.txt # tensorboard # tensorflow -aiobotocore==2.5.0 \ - --hash=sha256:6a5b397cddd4f81026aa91a14c7dd2650727425740a5af8ba75127ff663faf67 \ - --hash=sha256:9a2a022d7b78ec9a2af0de589916d2721cddbf96264401b78d7a73c1a1435f3b +aiobotocore==2.6.0 \ + --hash=sha256:0186e6a843364748cdbbf76ee98e9337c44f71a4e694ad1b110d5c516fbce909 \ + --hash=sha256:4805d0140bdfa17bfc2d0ba1243c8cc4273e927201fca5cf2e497c0004a9fab7 # via # -c release/ray_release/byod/requirements_compiled.txt # s3fs @@ -204,15 +204,15 @@ boto==2.49.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c release/ray_release/byod/requirements_compiled.txt # aiobotocore @@ -683,9 +683,9 @@ diskcache==5.6.3 \ --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 # via petastorm -exceptiongroup==1.2.1 \ - --hash=sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad \ - --hash=sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16 +exceptiongroup==1.3.0 \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 # via # anyio # pytest @@ -814,9 +814,9 @@ frozenlist==1.4.1 \ # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # aiosignal -fsspec==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c release/ray_release/byod/requirements_compiled.txt # gcsfs @@ -839,9 +839,9 @@ gcs-oauth2-boto-plugin==3.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gsutil -gcsfs==2023.5.0 \ - --hash=sha256:02a815e1cf28197ab4f57335e89dc5df8744a065c7c956d42692b50a9e8f1625 \ - --hash=sha256:4f2ebc41814de3f566f85dec208704cf19823b9d04a55fd12b3142aef9046525 +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c # via -r release/ray_release/byod/requirements_byod_3.9.in gevent==24.2.1 \ --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ @@ -1202,62 +1202,58 @@ greenlet==3.0.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gevent -grpcio==1.66.2 \ - --hash=sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd \ - --hash=sha256:03b0b307ba26fae695e067b94cbb014e27390f8bc5ac7a3a39b7723fed085604 \ - --hash=sha256:05bc2ceadc2529ab0b227b1310d249d95d9001cd106aa4d31e8871ad3c428d73 \ - --hash=sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3 \ - --hash=sha256:0be4e0490c28da5377283861bed2941d1d20ec017ca397a5df4394d1c31a9b50 \ - --hash=sha256:12fda97ffae55e6526825daf25ad0fa37483685952b5d0f910d6405c87e3adb6 \ - --hash=sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34 \ - --hash=sha256:2018b053aa15782db2541ca01a7edb56a0bf18c77efed975392583725974b249 \ - --hash=sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75 \ - --hash=sha256:2335c58560a9e92ac58ff2bc5649952f9b37d0735608242973c7a8b94a6437d8 \ - --hash=sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453 \ - --hash=sha256:38b68498ff579a3b1ee8f93a05eb48dc2595795f2f62716e797dc24774c1aaa8 \ - --hash=sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d \ - --hash=sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c \ - --hash=sha256:45a3d462826f4868b442a6b8fdbe8b87b45eb4f5b5308168c156b21eca43f61c \ - --hash=sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c \ - --hash=sha256:4e504572433f4e72b12394977679161d495c4c9581ba34a88d843eaf0f2fbd39 \ - --hash=sha256:4ea1d062c9230278793820146c95d038dc0f468cbdd172eec3363e42ff1c7d01 \ - --hash=sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231 \ - --hash=sha256:6001e575b8bbd89eee11960bb640b6da6ae110cf08113a075f1e2051cc596cae \ - --hash=sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a \ - --hash=sha256:6851de821249340bdb100df5eacfecfc4e6075fa85c6df7ee0eb213170ec8e5d \ - --hash=sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987 \ - --hash=sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a \ - --hash=sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7 \ - --hash=sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7 \ - --hash=sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3 \ - --hash=sha256:7d69ce1f324dc2d71e40c9261d3fdbe7d4c9d60f332069ff9b2a4d8a257c7b2b \ - --hash=sha256:802d84fd3d50614170649853d121baaaa305de7b65b3e01759247e768d691ddf \ - --hash=sha256:80fd702ba7e432994df208f27514280b4b5c6843e12a48759c9255679ad38db8 \ - --hash=sha256:8ac475e8da31484efa25abb774674d837b343afb78bb3bcdef10f81a93e3d6bf \ - --hash=sha256:950da58d7d80abd0ea68757769c9db0a95b31163e53e5bb60438d263f4bed7b7 \ - --hash=sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839 \ - --hash=sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e \ - --hash=sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b \ - --hash=sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3 \ - --hash=sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee \ - --hash=sha256:a9539f01cb04950fd4b5ab458e64a15f84c2acc273670072abe49a3f29bbad54 \ - --hash=sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e \ - --hash=sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc \ - --hash=sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd \ - --hash=sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d \ - --hash=sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed \ - --hash=sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7 \ - --hash=sha256:ce89f5876662f146d4c1f695dda29d4433a5d01c8681fbd2539afff535da14d4 \ - --hash=sha256:d25a14af966438cddf498b2e338f88d1c9706f3493b1d73b93f695c99c5f0e2a \ - --hash=sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec \ - --hash=sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8 \ - --hash=sha256:e636ce23273683b00410f1971d209bf3689238cf5538d960adc3cdfe80dd0dbd \ - --hash=sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c \ - --hash=sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46 \ - --hash=sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e \ - --hash=sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf \ - --hash=sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa \ - --hash=sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679 +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # tensorboard # tensorflow @@ -2637,9 +2633,9 @@ rsa==4.7.2 \ # gcs-oauth2-boto-plugin # google-auth # oauth2client -s3fs==2023.5.0 \ - --hash=sha256:0d82c4fa43d1214117f56b239c3e03c9a2886f41c31000c1c967ac6030d20362 \ - --hash=sha256:106b5d9a1000e6af413f918156ba4b96789ac832b7e08c99d186eb08164e6981 +s3fs==2023.12.1 \ + --hash=sha256:63e429bb6b5e814568cacd3f2a8551fc35493e8c418ddfcb44e6f86aa8696ccd \ + --hash=sha256:ed0b7df8cc20a2b5cefe607b1cf4e860d37c5ca4ac2d68f55464805d75d18710 # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in @@ -2915,6 +2911,7 @@ typing-extensions==4.12.2 \ # -r release/ray_release/byod/requirements_byod_3.9.in # aioitertools # ale-py + # exceptiongroup # fastapi # gymnasium # pydantic diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.in b/release/ray_release/byod/requirements_ml_byod_3.9.in index 1a7ce561af71..6c373e1b1a2e 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.in +++ b/release/ray_release/byod/requirements_ml_byod_3.9.in @@ -14,7 +14,7 @@ evaluate fairscale fastapi filelock -gcsfs==2023.5.0 +gcsfs==2023.12.1 gsutil ipywidgets jupytext diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index fe20bf45e379..687a325b9329 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -203,15 +203,15 @@ boto==2.49.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin -boto3==1.26.76 \ - --hash=sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027 \ - --hash=sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729 +boto3==1.28.17 \ + --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ + --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in -botocore==1.29.76 \ - --hash=sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7 \ - --hash=sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7 +botocore==1.31.17 \ + --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ + --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b # via # -c release/ray_release/byod/requirements_compiled.txt # boto3 @@ -968,9 +968,9 @@ fs==2.4.16 \ # via # -c release/ray_release/byod/requirements_compiled.txt # triad -fsspec[http]==2023.5.0 \ - --hash=sha256:51a4ad01a5bb66fcc58036e288c0d53d3975a0df2a5dc59a93b59bade0391f2a \ - --hash=sha256:b3b56e00fb93ea321bc9e5d9cf6f8522a0198b20eb24e02774d329e9c6fb84ce +fsspec[http]==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c release/ray_release/byod/requirements_compiled.txt # datasets @@ -1004,9 +1004,9 @@ gcs-oauth2-boto-plugin==3.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gsutil -gcsfs==2023.5.0 \ - --hash=sha256:02a815e1cf28197ab4f57335e89dc5df8744a065c7c956d42692b50a9e8f1625 \ - --hash=sha256:4f2ebc41814de3f566f85dec208704cf19823b9d04a55fd12b3142aef9046525 +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c # via -r release/ray_release/byod/requirements_ml_byod_3.9.in gevent==24.2.1 \ --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ From 1d4c46964ef94427f3ac02892b73d7391a4c4275 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Sun, 7 Sep 2025 04:13:56 +0800 Subject: [PATCH 1079/1566] [Data] Add total input/output row counts of Operator in the output of Dataset.stats() (#56040) Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/stats.py | 70 ++++++++++++++-- python/ray/data/tests/test_stats.py | 120 +++++++++++++++++++++++++++- 2 files changed, 180 insertions(+), 10 deletions(-) diff --git a/python/ray/data/_internal/stats.py b/python/ray/data/_internal/stats.py index cba592182e65..088acffc2e0f 100644 --- a/python/ray/data/_internal/stats.py +++ b/python/ray/data/_internal/stats.py @@ -1006,14 +1006,6 @@ def to_summary(self) -> "DatasetStatsSummary": object, which can be used to generate a summary string.""" operators_stats = [] is_sub_operator = len(self.metadata) > 1 - for name, stats in self.metadata.items(): - operators_stats.append( - OperatorStatsSummary.from_block_metadata( - name, - stats, - is_sub_operator=is_sub_operator, - ) - ) iter_stats = IterStatsSummary( self.iter_wait_s, @@ -1032,9 +1024,56 @@ def to_summary(self) -> "DatasetStatsSummary": self.iter_blocks_remote, self.iter_unknown_location, ) + stats_summary_parents = [] if self.parents is not None: stats_summary_parents = [p.to_summary() for p in self.parents] + + # Collect the sum of the final output row counts from all parent nodes + parent_total_output = 0 + for i, parent_summary in enumerate(stats_summary_parents): + if parent_summary.operators_stats: + # Get the last operator stats from the current parent summary + last_parent_op = parent_summary.operators_stats[-1] + # Extract output row count (handle dict type with "sum" key) + op_output = ( + last_parent_op.output_num_rows.get("sum", 0) + if isinstance(last_parent_op.output_num_rows, dict) + else 0 + ) + logger.debug( + f"Parent {i + 1} (operator: {last_parent_op.operator_name}) contributes {op_output} rows to input" + ) + parent_total_output += op_output + + # Create temporary operator stats objects from block metadata + op_stats = [ + OperatorStatsSummary.from_block_metadata( + name, stats, is_sub_operator=is_sub_operator + ) + for name, stats in self.metadata.items() + ] + + for i, op_stat in enumerate(op_stats): + # For sub-operators: inherit input based on the order in the current list + if is_sub_operator: + if i == 0: + # Input of the first sub-operator is the total output from parent nodes + op_stat.total_input_num_rows = parent_total_output + else: + # Input of subsequent sub-operators is the output of the previous sub-operator + prev_op = op_stats[i - 1] + op_stat.total_input_num_rows = ( + prev_op.output_num_rows["sum"] + if ( + prev_op.output_num_rows and "sum" in prev_op.output_num_rows + ) + else 0 + ) + else: + # Single operator scenario: input rows = total output from all parent nodes + op_stat.total_input_num_rows = parent_total_output + operators_stats.append(op_stat) streaming_exec_schedule_s = ( self.streaming_exec_schedule_s.get() if self.streaming_exec_schedule_s @@ -1336,6 +1375,8 @@ class OperatorStatsSummary: udf_time: Optional[Dict[str, float]] = None # memory: no "sum" stat memory: Optional[Dict[str, float]] = None + # Use the output_num_rows of the parent Operator as output_num_rows + total_input_num_rows: Optional[int] = None output_num_rows: Optional[Dict[str, float]] = None output_size_bytes: Optional[Dict[str, float]] = None # node_count: "count" stat instead of "sum" @@ -1470,6 +1511,9 @@ def from_block_metadata( "count": len(node_counts), } + # Assign a value in to_summary and initialize it as None. + total_input_num_rows = None + return OperatorStatsSummary( operator_name=operator_name, is_sub_operator=is_sub_operator, @@ -1481,6 +1525,7 @@ def from_block_metadata( cpu_time=cpu_stats, udf_time=udf_stats, memory=memory_stats, + total_input_num_rows=total_input_num_rows, output_num_rows=output_num_rows_stats, output_size_bytes=output_size_bytes_stats, node_count=node_counts_stats, @@ -1594,9 +1639,18 @@ def __str__(self) -> str: # total number of rows produced by the sum of the wall times across all # blocks of the operator. This assumes that on a single node the work done # would be equivalent, with no concurrency. + total_num_in_rows = ( + self.total_input_num_rows if self.total_input_num_rows else 0 + ) total_num_out_rows = output_num_rows_stats["sum"] out += indent out += "* Operator throughput:\n" + out += ( + indent + "\t* Total input num rows:" f" {total_num_in_rows} " "rows\n" + ) + out += ( + indent + "\t* Total output num rows:" f" {total_num_out_rows} " "rows\n" + ) out += ( indent + "\t* Ray Data throughput:" f" {total_num_out_rows / self.time_total_s} " diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 71edcc8f94a4..4d7a5660a86c 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -296,6 +296,14 @@ def canonicalize(stats: str, filter_global_stats: bool = True) -> str: ) # Handle floats in (0, 1) canonicalized_stats = re.sub(r" (0\.0*[1-9][0-9]*)", " N", canonicalized_stats) + # Replace input rows value (0 or non-0) with 'N' while keeping key prefix + canonicalized_stats = re.sub( + r"(Total input num rows: )\d+(\.\d+)?", r"\g<1>N", canonicalized_stats + ) + # Replace output rows value (0 or non-0) with 'N' while keeping key prefix + canonicalized_stats = re.sub( + r"(Total output num rows: )\d+(\.\d+)?", r"\g<1>N", canonicalized_stats + ) # Handle zero values specially so we can check for missing values. canonicalized_stats = re.sub(r" [0]+(\.[0])?", " Z", canonicalized_stats) # Scientific notation for small or large numbers @@ -384,6 +392,8 @@ def test_streaming_split_stats(ray_start_regular_shared, restore_data_context): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s * Extra metrics: {extra_metrics_1} @@ -448,6 +458,8 @@ def test_large_args_scheduling_strategy( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{read_extra_metrics}\n" @@ -461,6 +473,8 @@ def test_large_args_scheduling_strategy( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{map_extra_metrics}" @@ -505,6 +519,8 @@ def test_dataset_stats_basic( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{gen_extra_metrics_str(STANDARD_EXTRA_METRICS_TASK_BACKPRESSURE, verbose_stats_logs)}" # noqa: E501 @@ -530,6 +546,8 @@ def test_dataset_stats_basic( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{gen_extra_metrics_str(STANDARD_EXTRA_METRICS_TASK_BACKPRESSURE, verbose_stats_logs)}" # noqa: E501 @@ -560,6 +578,8 @@ def test_dataset_stats_basic( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{extra_metrics}\n" @@ -573,6 +593,8 @@ def test_dataset_stats_basic( f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{extra_metrics}\n" @@ -615,6 +637,8 @@ def test_block_location_nums(ray_start_regular_shared, restore_data_context): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"\n" @@ -1006,6 +1030,8 @@ def test_dataset_stats_shuffle(ray_start_regular_shared): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1019,6 +1045,8 @@ def test_dataset_stats_shuffle(ray_start_regular_shared): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1034,6 +1062,8 @@ def test_dataset_stats_shuffle(ray_start_regular_shared): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1047,6 +1077,8 @@ def test_dataset_stats_shuffle(ray_start_regular_shared): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1106,6 +1138,8 @@ def test_dataset_stats_range(ray_start_regular_shared, tmp_path): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"\n" @@ -1135,6 +1169,8 @@ def test_dataset_split_stats(ray_start_regular_shared, tmp_path): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"\n" @@ -1148,6 +1184,8 @@ def test_dataset_split_stats(ray_start_regular_shared, tmp_path): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"\n" @@ -1161,6 +1199,8 @@ def test_dataset_split_stats(ray_start_regular_shared, tmp_path): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"\n" @@ -1361,6 +1401,8 @@ def test_streaming_stats_full(ray_start_regular_shared, restore_data_context): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1399,6 +1441,8 @@ def test_write_ds_stats(ray_start_regular_shared, tmp_path): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1430,6 +1474,8 @@ def test_write_ds_stats(ray_start_regular_shared, tmp_path): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1443,6 +1489,8 @@ def test_write_ds_stats(ray_start_regular_shared, tmp_path): * Output rows per task: N min, N max, N mean, N tasks used * Tasks per node: N min, N max, N mean; N nodes used * Operator throughput: + * Total input num rows: N rows + * Total output num rows: N rows * Ray Data throughput: N rows/s * Estimated single node throughput: N rows/s @@ -1640,9 +1688,8 @@ def test_dataset_throughput(shutdown_only): f = dummy_map_batches_sleep(0.01) ds = ray.data.range(100).map(f).materialize().map(f).materialize() - # Pattern to match operator throughput operator_pattern = re.compile( - r"Operator (\d+).*?Ray Data throughput: (\d+\.\d+) rows/s.*?Estimated single node throughput: (\d+\.\d+) rows/s", # noqa: E501 + r"Operator (\d+).*?\* Operator throughput:\s*.*?\* Ray Data throughput: (\d+\.\d+) rows/s.*?\* Estimated single node throughput: (\d+\.\d+) rows/s", re.DOTALL, ) @@ -1661,6 +1708,73 @@ def test_dataset_throughput(shutdown_only): assert float(dataset_match[1]) >= float(dataset_match[2]) +def test_individual_operator_num_rows(shutdown_only): + # The input num rows of an individual operator should be the same as the output num rows of its parent operator. + ray.shutdown() + ray.init(num_cpus=2) + + data = [{"id": i, "value": i * 1.5, "category": i % 5} for i in range(500)] + ds = ( + ray.data.from_items(data) + .map(lambda x: {**x, "value_squared": x["value"] ** 2}) + .filter(lambda x: x["value_squared"] > 300) + ) + + stats_output = ds.materialize().stats() + re_op0_output = re.compile(r"Operator 0.*?Total output num rows: (\d+)", re.DOTALL) + re_op1_input = re.compile(r"Operator 1.*?Total input num rows: (\d+)", re.DOTALL) + + op0_output = int(re_op0_output.search(stats_output).group(1)) + op1_input = int(re_op1_input.search(stats_output).group(1)) + + assert op0_output == 500 + assert op0_output == op1_input + + +def test_sub_operator_num_rows(shutdown_only): + # The input num rows of sub operator: + # The first sub-operator: total output from all parent nodes + # Subsequent sub-operators: output of the previous sub-operator + ray.shutdown() + ray.init(num_cpus=2) + + data1 = [{"id": i, "value1": i * 1.5, "category1": i % 5} for i in range(500)] + ds1 = ray.data.from_items(data1) + data2 = [{"id": i, "value2": i * 1.5, "category2": i % 5} for i in range(300)] + ds2 = ray.data.from_items(data2) + ds = ds1.join(ds2, join_type="left_outer", num_partitions=2) + + stats_output = ds.materialize().stats() + + patterns = { + "operator0_output": re.compile( + r"Operator 0.*?Total output num rows: (\d+)", re.DOTALL + ), + "subop0_input": re.compile( + r"Suboperator 0.*?Total input num rows: (\d+)", re.DOTALL + ), + "subop0_output": re.compile( + r"Suboperator 0.*?Total output num rows: (\d+)", re.DOTALL + ), + "subop1_input": re.compile( + r"Suboperator 1.*?Total input num rows: (\d+)", re.DOTALL + ), + } + + extracted_data = {} + for key, pattern in patterns.items(): + match = pattern.search(stats_output) + if match: + extracted_data[key] = int(match.group(1)) + else: + extracted_data[key] = None + + assert extracted_data["operator0_output"] == 500 + assert extracted_data["subop0_output"] == 800 + assert extracted_data["operator0_output"] == extracted_data["subop0_input"] + assert extracted_data["subop0_output"] == extracted_data["subop1_input"] + + @pytest.mark.parametrize("verbose_stats_logs", [True, False]) def test_spilled_stats(shutdown_only, verbose_stats_logs, restore_data_context): context = DataContext.get_current() @@ -1686,6 +1800,8 @@ def test_spilled_stats(shutdown_only, verbose_stats_logs, restore_data_context): f"* Output rows per task: N min, N max, N mean, N tasks used\n" f"* Tasks per node: N min, N max, N mean; N nodes used\n" f"* Operator throughput:\n" + f" * Total input num rows: N rows\n" + f" * Total output num rows: N rows\n" f" * Ray Data throughput: N rows/s\n" f" * Estimated single node throughput: N rows/s\n" f"{extra_metrics}\n" From b4dd5cefe30ce95435415e63374dc99e4279f571 Mon Sep 17 00:00:00 2001 From: Vaishnavi Panchavati <38342947+vaishdho1@users.noreply.github.com> Date: Sat, 6 Sep 2025 16:21:56 -0700 Subject: [PATCH 1080/1566] [serve] Fix buffered logging reusing request context (Fixes #55851) (#56094) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Currently, when Serve file logs are buffered via a `MemoryHandler`, `ServeContextFilter` fetches the serve request context at flush time instead of when the log record is emitted. As a result, many log records flushed together can share the same request context, breaking per request tracing. This PR captures the request context at emit time when buffering is enabled and makes the filter idempotent so it won’t overwrite pre populated fields. This preserves correct per record context for buffered file logs without changing non buffered behavior. ## Related issue number Closes #55851 ## Performance Testing Manual Verification - Benchmarked both buffered and non buffered cases with and without the fix. Performance- Used Locust with 100 users for a duration of 3-4 mins Without buffering: With fix: `Avg: 396.69(ms), P99: 580(ms), RPS: 228.4` Without fix: `391.29(ms), P99: 560(ms), RPS: 239` With buffering: set `RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE` = 1000 With fix: `Avg(ms): 400.83, P99(ms): 620, RPS: 230.5` Without fix: `Avg(ms): 373.25, P99(ms): 610, RPS: 249.4` ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Vaishnavi Panchavati Signed-off-by: Vaishnavi Panchavati <38342947+vaishdho1@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Abrar Sheikh Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/logging_utils.py | 31 +++++++------- python/ray/serve/tests/test_logging.py | 48 ++++++++++++++++++++++ 2 files changed, 64 insertions(+), 15 deletions(-) diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 4688e30e4089..1e44c059d583 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -93,6 +93,7 @@ class ServeContextFilter(logging.Filter): def filter(self, record): if should_skip_context_filter(record): return True + request_context = ray.serve.context._get_serve_request_context() if request_context.route: setattr(record, SERVE_LOG_ROUTE, request_context.route) @@ -369,15 +370,24 @@ def configure_component_logger( maxBytes=max_bytes, backupCount=backup_count, ) + # Create a memory handler that buffers log records and flushes to file handler + # Buffer capacity: buffer_size records + # Flush triggers: buffer full, ERROR messages, or explicit flush + memory_handler = logging.handlers.MemoryHandler( + capacity=buffer_size, + target=file_handler, + flushLevel=logging.ERROR, # Auto-flush on ERROR/CRITICAL + ) if RAY_SERVE_ENABLE_JSON_LOGGING: logger.warning( "'RAY_SERVE_ENABLE_JSON_LOGGING' is deprecated, please use " "'LoggingConfig' to enable json format." ) + # Add filters directly to the memory handler effective for both buffered and non buffered cases if RAY_SERVE_ENABLE_JSON_LOGGING or logging_config.encoding == EncodingType.JSON: - file_handler.addFilter(ServeCoreContextFilter()) - file_handler.addFilter(ServeContextFilter()) - file_handler.addFilter( + memory_handler.addFilter(ServeCoreContextFilter()) + memory_handler.addFilter(ServeContextFilter()) + memory_handler.addFilter( ServeComponentFilter(component_name, component_id, component_type) ) file_handler.setFormatter(json_formatter) @@ -385,12 +395,12 @@ def configure_component_logger( file_handler.setFormatter(serve_formatter) if logging_config.enable_access_log is False: - file_handler.addFilter(log_access_log_filter) + memory_handler.addFilter(log_access_log_filter) else: - file_handler.addFilter(ServeContextFilter()) + memory_handler.addFilter(ServeContextFilter()) # Remove unwanted attributes from the log record. - file_handler.addFilter(ServeLogAttributeRemovalFilter()) + memory_handler.addFilter(ServeLogAttributeRemovalFilter()) # Redirect print, stdout, and stderr to Serve logger, only when it's on the replica. if not RAY_SERVE_LOG_TO_STDERR and component_type == ServeComponentType.REPLICA: @@ -398,15 +408,6 @@ def configure_component_logger( sys.stdout = StreamToLogger(logger, logging.INFO, sys.stdout) sys.stderr = StreamToLogger(logger, logging.INFO, sys.stderr) - # Create a memory handler that buffers log records and flushes to file handler - # Buffer capacity: buffer_size records - # Flush triggers: buffer full, ERROR messages, or explicit flush - memory_handler = logging.handlers.MemoryHandler( - capacity=buffer_size, - target=file_handler, - flushLevel=logging.ERROR, # Auto-flush on ERROR/CRITICAL - ) - # Add the memory handler instead of the file handler directly logger.addHandler(memory_handler) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index df6377a6acad..179f99c616f3 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -7,6 +7,7 @@ import sys import time import uuid +from collections import Counter from contextlib import redirect_stderr from pathlib import Path from typing import List, Tuple @@ -1360,5 +1361,52 @@ def test_configure_default_serve_logger_with_stderr_redirect( assert not isinstance(sys.stderr, StreamToLogger) +@pytest.mark.parametrize( + "ray_instance", + [ + {"RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE": "1"}, + {"RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE": "100"}, + ], + indirect=True, +) +def test_request_id_uniqueness_with_buffering(ray_instance): + """Test request IDs are unique when buffering is enabled.""" + + logger = logging.getLogger("ray.serve") + + @serve.deployment(logging_config={"encoding": "JSON"}) + class TestApp: + async def __call__(self): + logger.info("Processing request") + logger.info("Additional log entry") + return "OK" + + serve.run(TestApp.bind()) + for _ in range(200): + httpx.get("http://127.0.0.1:8000/") + + logs_dir = get_serve_logs_dir() + + def check_logs(): + for log_file in os.listdir(logs_dir): + if log_file.startswith("replica"): + with open(os.path.join(logs_dir, log_file)) as f: + log_request_ids = [] + for line in f: + log_entry = json.loads(line) + request_id = log_entry.get("request_id", None) + message = log_entry.get("message", None) + if request_id: + # Append the (request_id, message) pairs to the list + log_request_ids.append((request_id, message)) + # Check that there are no duplicate (request_id, message) pairs + request_id_counts = Counter(log_request_ids) + for _, count in request_id_counts.items(): + assert count == 1, "Request ID duplicates when buffering" + return True + + wait_for_condition(check_logs) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From f37eb501ff42be5d54f1b914c7fd846a17a7bf02 Mon Sep 17 00:00:00 2001 From: Rueian Date: Sun, 7 Sep 2025 11:14:32 -0700 Subject: [PATCH 1081/1566] [core] replace node_manager_client with raylet_client_lib (#56261) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- BUILD.bazel | 2 +- src/fakes/ray/rpc/raylet/BUILD.bazel | 2 +- src/fakes/ray/rpc/raylet/raylet_client.h | 2 +- src/ray/core_worker/BUILD.bazel | 6 +- src/ray/core_worker/core_worker.h | 2 +- src/ray/core_worker/core_worker_process.cc | 15 +- .../experimental_mutable_object_provider.h | 2 +- .../io_ray_runtime_task_NativeTaskExecutor.cc | 2 +- src/ray/core_worker/object_recovery_manager.h | 4 +- .../core_worker/task_submission/BUILD.bazel | 2 +- .../task_submission/normal_task_submitter.h | 4 +- .../task_submission/tests/BUILD.bazel | 2 +- .../tests/normal_task_submitter_test.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 2 +- .../tests/object_recovery_manager_test.cc | 2 +- src/ray/gcs/gcs_server/BUILD.bazel | 10 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 4 +- .../gcs_server/gcs_autoscaler_state_manager.h | 2 +- src/ray/gcs/gcs_server/gcs_node_manager.h | 2 +- .../gcs_placement_group_scheduler.h | 4 +- src/ray/gcs/gcs_server/gcs_server.cc | 4 +- src/ray/gcs/gcs_server/gcs_server.h | 2 +- src/ray/raylet/BUILD.bazel | 4 +- src/ray/raylet/main.cc | 4 +- src/ray/raylet/node_manager.h | 2 +- src/ray/raylet_client/BUILD.bazel | 56 ----- src/ray/raylet_client/node_manager_client.h | 207 ----------------- src/ray/rpc/BUILD.bazel | 46 +++- .../rpc/node_manager/node_manager_server.h | 2 +- .../raylet}/raylet_client.cc | 210 ++++++++++++++---- .../raylet}/raylet_client.h | 22 +- .../raylet}/raylet_client_interface.h | 0 .../raylet}/raylet_client_pool.cc | 2 +- .../raylet}/raylet_client_pool.h | 2 +- .../raylet}/tests/BUILD.bazel | 3 +- .../raylet}/tests/raylet_client_pool_test.cc | 2 +- src/ray/rpc/retryable_grpc_client.h | 31 ++- src/ray/rpc/worker/core_worker_client_pool.h | 4 +- 38 files changed, 300 insertions(+), 376 deletions(-) delete mode 100644 src/ray/raylet_client/BUILD.bazel delete mode 100644 src/ray/raylet_client/node_manager_client.h rename src/ray/{raylet_client => rpc/raylet}/raylet_client.cc (66%) rename src/ray/{raylet_client => rpc/raylet}/raylet_client.h (92%) rename src/ray/{raylet_client => rpc/raylet}/raylet_client_interface.h (100%) rename src/ray/{raylet_client => rpc/raylet}/raylet_client_pool.cc (98%) rename src/ray/{raylet_client => rpc/raylet}/raylet_client_pool.h (98%) rename src/ray/{raylet_client => rpc/raylet}/tests/BUILD.bazel (78%) rename src/ray/{raylet_client => rpc/raylet}/tests/raylet_client_pool_test.cc (99%) diff --git a/BUILD.bazel b/BUILD.bazel index 93a988b07b9d..c30d1b1f43ae 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -130,7 +130,7 @@ ray_cc_library( ), deps = [ "//src/ray/common:asio", - "//src/ray/raylet_client:raylet_client_interface", + "//src/ray/rpc:raylet_client_interface", ], ) diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel index f6ced3e4fc2e..af2537ff4ab0 100644 --- a/src/fakes/ray/rpc/raylet/BUILD.bazel +++ b/src/fakes/ray/rpc/raylet/BUILD.bazel @@ -4,6 +4,6 @@ ray_cc_library( name = "fake_raylet_client", hdrs = ["raylet_client.h"], deps = [ - "//src/ray/raylet_client:raylet_client_interface", + "//src/ray/rpc:raylet_client_interface", ], ) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 044351f595f4..4b4e048cafd7 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -15,7 +15,7 @@ #pragma once #include "ray/common/scheduling/scheduling_ids.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 0c72ff982e03..10c55d1d387a 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -45,9 +45,9 @@ ray_cc_library( "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", - "//src/ray/raylet_client:raylet_client_lib", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:metrics_agent_client", + "//src/ray/rpc:raylet_client_lib", "//src/ray/stats:stats_lib", "//src/ray/util:container_util", "//src/ray/util:env", @@ -333,8 +333,8 @@ ray_cc_library( hdrs = ["experimental_mutable_object_provider.h"], deps = [ ":experimental_mutable_object_manager", - "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:client_call", + "//src/ray/rpc:raylet_client_interface", ], ) @@ -357,7 +357,7 @@ ray_cc_library( ":reference_count", ":task_manager", "//src/ray/common:id", - "//src/ray/raylet_client:raylet_client_pool", + "//src/ray/rpc:raylet_client_pool", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index ba060a05b500..ec5af5e24fa2 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -52,7 +52,7 @@ #include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/util/process.h" #include "ray/util/shared_lru.h" #include "src/ray/protobuf/pubsub.pb.h" diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 57c4e217a1a9..1c8d06f0f117 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -35,7 +35,7 @@ #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/container_util.h" #include "ray/util/env.h" @@ -244,10 +244,10 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( // instead of crashing. auto raylet_address = rpc::RayletClientPool::GenerateRayletAddress( local_node_id, options.node_ip_address, options.node_manager_port); - auto local_raylet_rpc_client = std::make_shared( - std::move(raylet_address), - *client_call_manager, - /*raylet_unavailable_timeout_callback=*/[] {}); + auto local_raylet_rpc_client = + std::make_shared(std::move(raylet_address), + *client_call_manager, + /*raylet_unavailable_timeout_callback=*/[] {}); auto core_worker_server = std::make_unique(WorkerTypeString(options.worker_type), assigned_port, @@ -284,7 +284,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( auto raylet_client_pool = std::make_shared([&](const rpc::Address &addr) { auto core_worker = GetCoreWorker(); - return std::make_shared( + return std::make_shared( addr, *core_worker->client_call_manager_, rpc::RayletClientPool::GetDefaultUnavailableTimeoutCallback( @@ -841,8 +841,7 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { // TODO(joshlee): This local raylet client has a custom retry policy below since its // likely the driver can start up before the raylet is ready. We want to move away // from this and will be fixed in https://github.com/ray-project/ray/issues/55200 - raylet::RayletClient local_raylet_rpc_client( - raylet_address, client_call_manager, [] {}); + rpc::RayletClient local_raylet_rpc_client(raylet_address, client_call_manager, [] {}); std::function get_once = [this, &get_once, diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index 16a9c11e2149..085f8994cfea 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -18,8 +18,8 @@ #include #include "ray/core_worker/experimental_mutable_object_manager.h" -#include "ray/raylet_client/raylet_client_interface.h" #include "ray/rpc/client_call.h" +#include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc index 55ed42f580a5..b0077962cb2a 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc @@ -20,7 +20,7 @@ #include "ray/common/id.h" #include "ray/core_worker/common.h" #include "ray/core_worker/core_worker.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" #ifdef __cplusplus extern "C" { diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index 0e29b5d6ab7b..77cd9dac636c 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -25,8 +25,8 @@ #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" -#include "ray/raylet_client/raylet_client_interface.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index ce90126245e3..7054fc3e68cc 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -99,8 +99,8 @@ ray_cc_library( "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager_interface", - "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:raylet_client_interface", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 1bd4b75f67ad..f7b385f05a36 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -29,8 +29,8 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager_interface.h" #include "ray/core_worker/task_submission/dependency_resolver.h" -#include "ray/raylet_client/raylet_client_interface.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 5687a2de0698..4a8ff0ec0d95 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -70,8 +70,8 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index fc2d400714c5..f3c741b5a5f4 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -30,7 +30,7 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index f8f357699e07..ab453f5da2c5 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -76,7 +76,7 @@ ray_cc_test( "//src/ray/core_worker:memory_store", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", - "//src/ray/raylet_client:raylet_client_interface", + "//src/ray/rpc:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 370aefebea00..814e886411c8 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -30,7 +30,7 @@ #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 35ced96675f6..42b88c0c16f3 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -78,7 +78,7 @@ ray_cc_library( "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", "//src/ray/pubsub:gcs_publisher", - "//src/ray/raylet_client:raylet_client_pool", + "//src/ray/rpc:raylet_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:logging", @@ -286,7 +286,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:scheduling_context", - "//src/ray/raylet_client:raylet_client_interface", + "//src/ray/rpc:raylet_client_interface", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -393,8 +393,8 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/raylet_client:raylet_client_interface", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:raylet_client_interface", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -516,11 +516,11 @@ ray_cc_library( "//src/ray/pubsub:gcs_publisher", "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/raylet_client:raylet_client_pool", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:grpc_server", "//src/ray/rpc:metrics_agent_client", + "//src/ray/rpc:raylet_client_lib", + "//src/ray/rpc:raylet_client_pool", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", "//src/ray/util:network_util", diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index e05fc10e46eb..bc12aa833b57 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -31,8 +31,8 @@ #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" -#include "ray/raylet_client/raylet_client_interface.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h index 61246ad0a6c9..9079b75bfbd8 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h @@ -31,7 +31,7 @@ #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/gcs/gcs_server/state_util.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_server/gcs_node_manager.h index 1189fd9ce521..65efb9a18cc2 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_server/gcs_node_manager.h @@ -27,7 +27,7 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/stats/metric_defs.h" #include "ray/util/event.h" #include "src/ray/protobuf/autoscaler.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 778a58f529dd..1f074da8c0a4 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -30,8 +30,8 @@ #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" -#include "ray/raylet_client/raylet_client_interface.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index ee3e1a478acb..9adbcb2b9445 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -36,7 +36,7 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/gcs/store_client/store_client.h" #include "ray/pubsub/publisher.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/network_util.h" @@ -71,7 +71,7 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), raylet_client_pool_([this](const rpc::Address &addr) { - return std::make_shared( + return std::make_shared( addr, this->client_call_manager_, /*raylet_unavailable_timeout_callback=*/[this, addr]() { diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 9db51a1e976d..4bbe81432e01 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -39,10 +39,10 @@ #include "ray/pubsub/gcs_publisher.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/client_call.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/metrics_agent_client.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index e4c6ca19b987..854a8d2478ee 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -286,9 +286,9 @@ ray_cc_binary( "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/raylet_client:raylet_client_lib", - "//src/ray/raylet_client:raylet_client_pool", "//src/ray/rpc:metrics_agent_client", + "//src/ray/rpc:raylet_client_lib", + "//src/ray/rpc:raylet_client_pool", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:event", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 85f29663e916..e96b52f195e9 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -35,7 +35,7 @@ #include "ray/raylet/local_object_manager.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/raylet.h" -#include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" @@ -562,7 +562,7 @@ int main(int argc, char *argv[]) { raylet_client_pool = std::make_unique([&](const ray::rpc::Address &addr) { - return std::make_shared( + return std::make_shared( addr, *client_call_manager, ray::rpc::RayletClientPool::GetDefaultUnavailableTimeoutCallback( diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 2cfae2004fa5..da0b2182d200 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -48,8 +48,8 @@ #include "ray/raylet/wait_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" -#include "ray/raylet_client/raylet_client_pool.h" #include "ray/rpc/node_manager/node_manager_server.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" diff --git a/src/ray/raylet_client/BUILD.bazel b/src/ray/raylet_client/BUILD.bazel deleted file mode 100644 index e8f6d4f05244..000000000000 --- a/src/ray/raylet_client/BUILD.bazel +++ /dev/null @@ -1,56 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "raylet_client_interface", - hdrs = [ - "raylet_client_interface.h", - ], - deps = [ - "//src/ray/protobuf:autoscaler_cc_proto", - "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/rpc:client_call", - ], -) - -ray_cc_library( - name = "raylet_client_pool", - srcs = ["raylet_client_pool.cc"], - hdrs = [ - "raylet_client_pool.h", - ], - deps = [ - ":raylet_client_interface", - "//src/ray/gcs/gcs_client:gcs_client_lib", - ], -) - -ray_cc_library( - name = "node_manager_client", - hdrs = [ - "node_manager_client.h", - ], - visibility = [":__subpackages__"], - deps = [ - ":raylet_client_interface", - "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/protobuf:node_manager_cc_grpc", - "//src/ray/rpc:client_call", - "//src/ray/rpc:grpc_client", - "//src/ray/util:network_util", - ], -) - -ray_cc_library( - name = "raylet_client_lib", - srcs = ["raylet_client.cc"], - hdrs = ["raylet_client.h"], - deps = [ - ":node_manager_client", - ":raylet_client_interface", - "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/protobuf:common_cc_proto", - "//src/ray/util:logging", - ], -) diff --git a/src/ray/raylet_client/node_manager_client.h b/src/ray/raylet_client/node_manager_client.h deleted file mode 100644 index 60558226555b..000000000000 --- a/src/ray/raylet_client/node_manager_client.h +++ /dev/null @@ -1,207 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include -#include -#include -#include -#include - -#include "ray/common/status.h" -#include "ray/rpc/grpc_client.h" -#include "ray/rpc/retryable_grpc_client.h" -#include "ray/util/logging.h" -#include "src/ray/protobuf/node_manager.grpc.pb.h" -#include "src/ray/protobuf/node_manager.pb.h" - -namespace ray { - -namespace raylet { -class RayletClient; -} - -namespace rpc { - -/// TODO(dayshah): https://github.com/ray-project/ray/issues/54816 Kill this completely. -/// This class is only used by the RayletClient which is just a wrapper around this. This -/// exists for the legacy reason that all the function definitions in RayletClient have to -/// change if you move the things in here into RayletClient. -class NodeManagerClient { - public: - friend class raylet::RayletClient; - - private: - /// Constructor. - /// - /// \param[in] address Address of the node manager server. - /// \param[in] port Port of the node manager server. - /// \param[in] client_call_manager The `ClientCallManager` used for managing requests. - /// \param[in] raylet_unavailable_timeout_callback The callback function that is used - /// by the retryable grpc to remove unresponsive raylet connections from the pool once - /// its been unavailable for more than server_unavailable_timeout_seconds. - NodeManagerClient(const rpc::Address &address, - ClientCallManager &client_call_manager, - std::function raylet_unavailable_timeout_callback) - : grpc_client_(std::make_shared>( - address.ip_address(), address.port(), client_call_manager)), - retryable_grpc_client_(RetryableGrpcClient::Create( - grpc_client_->Channel(), - client_call_manager.GetMainService(), - /*max_pending_requests_bytes=*/ - std::numeric_limits::max(), - /*check_channel_status_interval_milliseconds=*/ - ::RayConfig::instance() - .grpc_client_check_connection_status_interval_milliseconds(), - /*server_unavailable_timeout_seconds=*/ - ::RayConfig::instance().raylet_rpc_server_reconnect_timeout_s(), - /*server_unavailable_timeout_callback=*/ - std::move(raylet_unavailable_timeout_callback), - /*server_name=*/"Raylet " + address.ip_address())) {} - - std::shared_ptr Channel() const { return grpc_client_->Channel(); } - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetResourceLoad, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - CancelLeasesWithResourceShapes, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - NotifyGCSRestart, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - RequestWorkerLease, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - PrestartWorkers, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - ReportWorkerBacklog, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, - NodeManagerService, - ReturnWorkerLease, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - ReleaseUnusedActorWorkers, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - ShutdownRaylet, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - DrainRaylet, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - IsLocalWorkerDead, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, - NodeManagerService, - CancelWorkerLease, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - PrepareBundleResources, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - CommitBundleResources, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - CancelResourceReserve, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - PinObjectIDs, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GlobalGC, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - ReleaseUnusedBundles, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetSystemConfig, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - /// Get all the object information from the node. - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetObjectsInfo, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetWorkerFailureCause, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - RegisterMutableObject, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - PushMutableObject, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - VOID_RPC_CLIENT_METHOD(NodeManagerService, - GetNodeStats, - grpc_client_, - /*method_timeout_ms*/ -1, ) - - std::shared_ptr> grpc_client_; - - std::shared_ptr retryable_grpc_client_; -}; - -} // namespace rpc -} // namespace ray diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 439e72666618..1fb75da79340 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -185,6 +185,48 @@ ray_cc_library( ], ) +ray_cc_library( + name = "raylet_client_interface", + hdrs = [ + "raylet/raylet_client_interface.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":client_call", + "//src/ray/protobuf:autoscaler_cc_proto", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/protobuf:node_manager_cc_proto", + ], +) + +ray_cc_library( + name = "raylet_client_pool", + srcs = ["raylet/raylet_client_pool.cc"], + hdrs = [ + "raylet/raylet_client_pool.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + "//src/ray/gcs/gcs_client:gcs_client_lib", + ], +) + +ray_cc_library( + name = "raylet_client_lib", + srcs = ["raylet/raylet_client.cc"], + hdrs = ["raylet/raylet_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + ":retryable_grpc_client", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", + "//src/ray/protobuf:node_manager_cc_grpc", + "//src/ray/util:logging", + ], +) + ray_cc_library( name = "core_worker_client", srcs = [ @@ -196,13 +238,13 @@ ray_cc_library( "worker/core_worker_client_pool.h", ], deps = [ + ":raylet_client_interface", + ":raylet_client_pool", "//src/ray/common:id", "//src/ray/common:status", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/pubsub:subscriber", - "//src/ray/raylet_client:raylet_client_interface", - "//src/ray/raylet_client:raylet_client_pool", "//src/ray/util:logging", "//src/ray/util:network_util", "@com_github_grpc_grpc//:grpc++", diff --git a/src/ray/rpc/node_manager/node_manager_server.h b/src/ray/rpc/node_manager/node_manager_server.h index 315507085459..262c72cb284b 100644 --- a/src/ray/rpc/node_manager/node_manager_server.h +++ b/src/ray/rpc/node_manager/node_manager_server.h @@ -65,7 +65,7 @@ class NodeManagerServiceHandler { /// Handlers. For all of the following handlers, the implementations can /// handle the request asynchronously. When handling is done, the /// `send_reply_callback` should be called. See - /// src/ray/raylet_client/node_manager_client.h and + /// src/ray/rpc/raylet/raylet_client.cc and /// src/ray/protobuf/node_manager.proto for a description of the /// functionality of each handler. /// diff --git a/src/ray/raylet_client/raylet_client.cc b/src/ray/rpc/raylet/raylet_client.cc similarity index 66% rename from src/ray/raylet_client/raylet_client.cc rename to src/ray/rpc/raylet/raylet_client.cc index a4b825f7ee7f..de28d5b8e09a 100644 --- a/src/ray/raylet_client/raylet_client.cc +++ b/src/ray/rpc/raylet/raylet_client.cc @@ -12,8 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet_client/raylet_client.h" +#include "ray/rpc/raylet/raylet_client.h" +#include #include #include #include @@ -22,18 +23,29 @@ #include "ray/common/bundle_spec.h" #include "ray/common/ray_config.h" -#include "ray/raylet_client/node_manager_client.h" #include "ray/util/logging.h" +#include "src/ray/protobuf/node_manager.grpc.pb.h" -namespace ray::raylet { +namespace ray { +namespace rpc { RayletClient::RayletClient(const rpc::Address &address, rpc::ClientCallManager &client_call_manager, std::function raylet_unavailable_timeout_callback) - : grpc_client_(std::shared_ptr( - new rpc::NodeManagerClient(address, - client_call_manager, - std::move(raylet_unavailable_timeout_callback)))) {} + : grpc_client_(std::make_shared>( + address.ip_address(), address.port(), client_call_manager)), + retryable_grpc_client_(rpc::RetryableGrpcClient::Create( + grpc_client_->Channel(), + client_call_manager.GetMainService(), + /*max_pending_requests_bytes=*/std::numeric_limits::max(), + /*check_channel_status_interval_milliseconds=*/ + ::RayConfig::instance() + .grpc_client_check_connection_status_interval_milliseconds(), + /*server_unavailable_timeout_seconds=*/ + ::RayConfig::instance().raylet_rpc_server_reconnect_timeout_s(), + /*server_unavailable_timeout_callback=*/ + std::move(raylet_unavailable_timeout_callback), + /*server_name=*/std::string("Raylet ") + address.ip_address())) {} void RayletClient::RequestWorkerLease( const rpc::LeaseSpec &lease_spec, @@ -53,13 +65,23 @@ void RayletClient::RequestWorkerLease( request->set_grant_or_reject(grant_or_reject); request->set_backlog_size(backlog_size); request->set_is_selected_based_on_locality(is_selected_based_on_locality); - grpc_client_->RequestWorkerLease(*request, callback); + INVOKE_RPC_CALL(NodeManagerService, + RequestWorkerLease, + *request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::PrestartWorkers( const rpc::PrestartWorkersRequest &request, const rpc::ClientCallback &callback) { - grpc_client_->PrestartWorkers(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + PrestartWorkers, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } std::shared_ptr RayletClient::GetChannel() const { @@ -72,12 +94,16 @@ void RayletClient::ReportWorkerBacklog( rpc::ReportWorkerBacklogRequest request; request.set_worker_id(worker_id.Binary()); request.mutable_backlog_reports()->Add(backlog_reports.begin(), backlog_reports.end()); - grpc_client_->ReportWorkerBacklog( + INVOKE_RPC_CALL( + NodeManagerService, + ReportWorkerBacklog, request, [](const Status &status, rpc::ReportWorkerBacklogReply &&reply /*unused*/) { RAY_LOG_IF_ERROR(INFO, status) << "Error reporting lease backlog information: " << status; - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::ReturnWorkerLease(int worker_port, @@ -91,10 +117,16 @@ void RayletClient::ReturnWorkerLease(int worker_port, request.set_disconnect_worker(disconnect_worker); request.set_disconnect_worker_error_detail(disconnect_worker_error_detail); request.set_worker_exiting(worker_exiting); - grpc_client_->ReturnWorkerLease( - std::move(request), [](const Status &status, rpc::ReturnWorkerLeaseReply &&) { + INVOKE_RETRYABLE_RPC_CALL( + retryable_grpc_client_, + NodeManagerService, + ReturnWorkerLease, + request, + [](const Status &status, rpc::ReturnWorkerLeaseReply &&reply /*unused*/) { RAY_LOG_IF_ERROR(INFO, status) << "Error returning worker: " << status; - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::GetWorkerFailureCause( @@ -102,11 +134,16 @@ void RayletClient::GetWorkerFailureCause( const ray::rpc::ClientCallback &callback) { rpc::GetWorkerFailureCauseRequest request; request.set_lease_id(lease_id.Binary()); - grpc_client_->GetWorkerFailureCause( - request, [callback](const Status &status, rpc::GetWorkerFailureCauseReply &&reply) { + INVOKE_RPC_CALL( + NodeManagerService, + GetWorkerFailureCause, + request, + [callback](const Status &status, rpc::GetWorkerFailureCauseReply &&reply) { RAY_LOG_IF_ERROR(INFO, status) << "Error getting task result: " << status; callback(status, std::move(reply)); - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::RegisterMutableObjectReader( @@ -118,7 +155,12 @@ void RayletClient::RegisterMutableObjectReader( request.set_writer_object_id(writer_object_id.Binary()); request.set_num_readers(num_readers); request.set_reader_object_id(reader_object_id.Binary()); - grpc_client_->RegisterMutableObject(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + RegisterMutableObject, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::PushMutableObject( @@ -155,15 +197,20 @@ void RayletClient::PushMutableObject( request.set_metadata(static_cast(metadata), metadata_size); // TODO(jackhumphries): Add failure recovery, retries, and timeout. - grpc_client_->PushMutableObject( - request, [callback](const Status &status, rpc::PushMutableObjectReply &&reply) { + INVOKE_RPC_CALL( + NodeManagerService, + PushMutableObject, + request, + [callback](const Status &status, rpc::PushMutableObjectReply &&reply) { RAY_LOG_IF_ERROR(ERROR, status) << "Error pushing mutable object: " << status; if (reply.done()) { // The callback is only executed once the receiver node receives all chunks // for the mutable object write. callback(status, std::move(reply)); } - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } } @@ -174,7 +221,9 @@ void RayletClient::ReleaseUnusedActorWorkers( for (auto &worker_id : workers_in_use) { request.add_worker_ids_in_use(worker_id.Binary()); } - grpc_client_->ReleaseUnusedActorWorkers( + INVOKE_RPC_CALL( + NodeManagerService, + ReleaseUnusedActorWorkers, request, [callback](const Status &status, rpc::ReleaseUnusedActorWorkersReply &&reply) { if (!status.ok()) { @@ -183,7 +232,9 @@ void RayletClient::ReleaseUnusedActorWorkers( << status; } callback(status, std::move(reply)); - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::CancelWorkerLease( @@ -191,7 +242,13 @@ void RayletClient::CancelWorkerLease( const rpc::ClientCallback &callback) { rpc::CancelWorkerLeaseRequest request; request.set_lease_id(lease_id.Binary()); - grpc_client_->CancelWorkerLease(std::move(request), callback); + INVOKE_RETRYABLE_RPC_CALL(retryable_grpc_client_, + NodeManagerService, + CancelWorkerLease, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::PrepareBundleResources( @@ -205,7 +262,12 @@ void RayletClient::PrepareBundleResources( message_bundle->CopyFrom(bundle_spec->GetMessage()); } RAY_CHECK(nodes.size() == 1); - grpc_client_->PrepareBundleResources(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + PrepareBundleResources, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::CommitBundleResources( @@ -219,7 +281,12 @@ void RayletClient::CommitBundleResources( message_bundle->CopyFrom(bundle_spec->GetMessage()); } RAY_CHECK(nodes.size() == 1); - grpc_client_->CommitBundleResources(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + CommitBundleResources, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::CancelResourceReserve( @@ -227,7 +294,12 @@ void RayletClient::CancelResourceReserve( const ray::rpc::ClientCallback &callback) { rpc::CancelResourceReserveRequest request; request.mutable_bundle_spec()->CopyFrom(bundle_spec.GetMessage()); - grpc_client_->CancelResourceReserve(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + CancelResourceReserve, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::ReleaseUnusedBundles( @@ -237,15 +309,20 @@ void RayletClient::ReleaseUnusedBundles( for (auto &bundle : bundles_in_use) { request.add_bundles_in_use()->CopyFrom(bundle); } - grpc_client_->ReleaseUnusedBundles( - request, [callback](const Status &status, rpc::ReleaseUnusedBundlesReply &&reply) { + INVOKE_RPC_CALL( + NodeManagerService, + ReleaseUnusedBundles, + request, + [callback](const Status &status, rpc::ReleaseUnusedBundlesReply &&reply) { if (!status.ok()) { RAY_LOG(WARNING) << "Error releasing bundles from raylet, the raylet may have died:" << status; } callback(status, std::move(reply)); - }); + }, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::PinObjectIDs( @@ -267,7 +344,12 @@ void RayletClient::PinObjectIDs( pins_in_flight_--; callback(status, std::move(reply)); }; - grpc_client_->PinObjectIDs(request, rpc_callback); + INVOKE_RPC_CALL(NodeManagerService, + PinObjectIDs, + request, + rpc_callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::ShutdownRaylet( @@ -276,7 +358,12 @@ void RayletClient::ShutdownRaylet( const rpc::ClientCallback &callback) { rpc::ShutdownRayletRequest request; request.set_graceful(graceful); - grpc_client_->ShutdownRaylet(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + ShutdownRaylet, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::DrainRaylet( @@ -288,7 +375,12 @@ void RayletClient::DrainRaylet( request.set_reason(reason); request.set_reason_message(reason_message); request.set_deadline_timestamp_ms(deadline_timestamp_ms); - grpc_client_->DrainRaylet(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + DrainRaylet, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::IsLocalWorkerDead( @@ -296,18 +388,33 @@ void RayletClient::IsLocalWorkerDead( const rpc::ClientCallback &callback) { rpc::IsLocalWorkerDeadRequest request; request.set_worker_id(worker_id.Binary()); - grpc_client_->IsLocalWorkerDead(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + IsLocalWorkerDead, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::GlobalGC(const rpc::ClientCallback &callback) { rpc::GlobalGCRequest request; - grpc_client_->GlobalGC(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + GlobalGC, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::GetResourceLoad( const rpc::ClientCallback &callback) { rpc::GetResourceLoadRequest request; - grpc_client_->GetResourceLoad(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + GetResourceLoad, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::CancelLeasesWithResourceShapes( @@ -322,25 +429,46 @@ void RayletClient::CancelLeasesWithResourceShapes( resource_shape.end()); } - grpc_client_->CancelLeasesWithResourceShapes(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + CancelLeasesWithResourceShapes, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::NotifyGCSRestart( const rpc::ClientCallback &callback) { rpc::NotifyGCSRestartRequest request; - grpc_client_->NotifyGCSRestart(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + NotifyGCSRestart, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::GetSystemConfig( const rpc::ClientCallback &callback) { rpc::GetSystemConfigRequest request; - grpc_client_->GetSystemConfig(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + GetSystemConfig, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::GetNodeStats( const rpc::GetNodeStatsRequest &request, const rpc::ClientCallback &callback) { - grpc_client_->GetNodeStats(request, callback); + INVOKE_RPC_CALL(NodeManagerService, + GetNodeStats, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } -} // namespace ray::raylet +} // namespace rpc +} // namespace ray diff --git a/src/ray/raylet_client/raylet_client.h b/src/ray/rpc/raylet/raylet_client.h similarity index 92% rename from src/ray/raylet_client/raylet_client.h rename to src/ray/rpc/raylet/raylet_client.h index 5c7eedcfa194..ad8ea08cd37a 100644 --- a/src/ray/raylet_client/raylet_client.h +++ b/src/ray/rpc/raylet/raylet_client.h @@ -14,26 +14,26 @@ #pragma once +#include + #include #include #include #include #include -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/grpc_client.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/retryable_grpc_client.h" +#include "src/ray/protobuf/node_manager.grpc.pb.h" +#include "src/ray/protobuf/node_manager.pb.h" // Maps from resource name to its allocation. using ResourceMappingType = std::unordered_map>>; namespace ray { - -// Forward declaration. namespace rpc { -class NodeManagerClient; -} - -namespace raylet { /// Raylet client is responsible for communication with raylet. It implements /// [RayletClientInterface] and works on worker registration, lease management, etc. @@ -164,7 +164,10 @@ class RayletClient : public RayletClientInterface { private: /// gRPC client to the NodeManagerService. - std::shared_ptr grpc_client_; + std::shared_ptr> grpc_client_; + + /// Retryable gRPC client to monitor channel health and trigger timeout callbacks. + std::shared_ptr retryable_grpc_client_; /// A map from resource name to the resource IDs that are currently reserved /// for this worker. Each pair consists of the resource ID and the fraction @@ -175,6 +178,5 @@ class RayletClient : public RayletClientInterface { std::atomic pins_in_flight_ = 0; }; -} // namespace raylet - +} // namespace rpc } // namespace ray diff --git a/src/ray/raylet_client/raylet_client_interface.h b/src/ray/rpc/raylet/raylet_client_interface.h similarity index 100% rename from src/ray/raylet_client/raylet_client_interface.h rename to src/ray/rpc/raylet/raylet_client_interface.h diff --git a/src/ray/raylet_client/raylet_client_pool.cc b/src/ray/rpc/raylet/raylet_client_pool.cc similarity index 98% rename from src/ray/raylet_client/raylet_client_pool.cc rename to src/ray/rpc/raylet/raylet_client_pool.cc index f955d37a5a46..5283f73c88ff 100644 --- a/src/ray/raylet_client/raylet_client_pool.cc +++ b/src/ray/rpc/raylet/raylet_client_pool.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include #include diff --git a/src/ray/raylet_client/raylet_client_pool.h b/src/ray/rpc/raylet/raylet_client_pool.h similarity index 98% rename from src/ray/raylet_client/raylet_client_pool.h rename to src/ray/rpc/raylet/raylet_client_pool.h index 2440ee543e45..d69edf0533ab 100644 --- a/src/ray/raylet_client/raylet_client_pool.h +++ b/src/ray/rpc/raylet/raylet_client_pool.h @@ -24,7 +24,7 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/raylet_client/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { namespace rpc { diff --git a/src/ray/raylet_client/tests/BUILD.bazel b/src/ray/rpc/raylet/tests/BUILD.bazel similarity index 78% rename from src/ray/raylet_client/tests/BUILD.bazel rename to src/ray/rpc/raylet/tests/BUILD.bazel index 775291eeb00d..280f5a3c3927 100644 --- a/src/ray/raylet_client/tests/BUILD.bazel +++ b/src/ray/rpc/raylet/tests/BUILD.bazel @@ -8,8 +8,7 @@ ray_cc_test( deps = [ "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/raylet_client:node_manager_client", - "//src/ray/raylet_client:raylet_client_pool", + "//src/ray/rpc:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet_client/tests/raylet_client_pool_test.cc b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc similarity index 99% rename from src/ray/raylet_client/tests/raylet_client_pool_test.cc rename to src/ray/rpc/raylet/tests/raylet_client_pool_test.cc index 7c8a85855f85..5d711c92e5b3 100644 --- a/src/ray/raylet_client/tests/raylet_client_pool_test.cc +++ b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include diff --git a/src/ray/rpc/retryable_grpc_client.h b/src/ray/rpc/retryable_grpc_client.h index 6e7558d118fb..270f101f83c4 100644 --- a/src/ray/rpc/retryable_grpc_client.h +++ b/src/ray/rpc/retryable_grpc_client.h @@ -31,18 +31,35 @@ namespace ray::rpc { +// This macro wraps the logic to call a specific RPC method of a service with the +// retryable grpc client, to make it easier to implement a new RPC client. +#define INVOKE_RETRYABLE_RPC_CALL(retryable_rpc_client, \ + SERVICE, \ + METHOD, \ + request, \ + callback, \ + rpc_client, \ + method_timeout_ms) \ + (retryable_rpc_client->CallMethod( \ + &SERVICE::Stub::PrepareAsync##METHOD, \ + rpc_client, \ + #SERVICE ".grpc_client." #METHOD, \ + std::move(request), \ + callback, \ + method_timeout_ms)) + // Define a void retryable RPC client method. #define VOID_RETRYABLE_RPC_CLIENT_METHOD( \ retryable_rpc_client, SERVICE, METHOD, rpc_client, method_timeout_ms, SPECS) \ void METHOD(METHOD##Request &&request, const ClientCallback &callback) \ SPECS { \ - retryable_rpc_client->CallMethod( \ - &SERVICE::Stub::PrepareAsync##METHOD, \ - rpc_client, \ - #SERVICE ".grpc_client." #METHOD, \ - std::move(request), \ - callback, \ - method_timeout_ms); \ + INVOKE_RETRYABLE_RPC_CALL(retryable_rpc_client, \ + SERVICE, \ + METHOD, \ + request, \ + callback, \ + rpc_client, \ + method_timeout_ms); \ } /** diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index cbbf4cc3d07c..b4008797fd26 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -24,8 +24,8 @@ #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/gcs/gcs_client/gcs_client.h" -#include "ray/raylet_client/raylet_client_interface.h" -#include "ray/raylet_client/raylet_client_pool.h" +#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray { From 763849672e7888b51e758c85709e3787061d2f25 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sun, 7 Sep 2025 14:43:38 -0700 Subject: [PATCH 1082/1566] [core] Delete unnecessary plasma.cc + macro (#56308) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/object_manager/object_buffer_pool.h | 3 +- src/ray/object_manager/plasma/BUILD.bazel | 3 -- src/ray/object_manager/plasma/common.h | 15 +++++----- src/ray/object_manager/plasma/plasma.cc | 28 ------------------- src/ray/object_manager/plasma/plasma.h | 10 ++----- src/ray/object_manager/plasma/shared_memory.h | 5 ++-- src/ray/util/macros.h | 7 ----- src/ray/util/subreaper.h | 7 +++-- 8 files changed, 19 insertions(+), 59 deletions(-) delete mode 100644 src/ray/object_manager/plasma/plasma.cc diff --git a/src/ray/object_manager/object_buffer_pool.h b/src/ray/object_manager/object_buffer_pool.h index 1a5345520120..108af01340bc 100644 --- a/src/ray/object_manager/object_buffer_pool.h +++ b/src/ray/object_manager/object_buffer_pool.h @@ -63,7 +63,8 @@ class ObjectBufferPool { ~ObjectBufferPool(); /// This object cannot be copied due to pool_mutex. - RAY_DISALLOW_COPY_AND_ASSIGN(ObjectBufferPool); + ObjectBufferPool(const ObjectBufferPool &) = delete; + ObjectBufferPool &operator=(const ObjectBufferPool &) = delete; /// Computes the number of chunks needed to transfer an object and its metadata. /// diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index e3c41627e1ec..6efca1100e7a 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -242,7 +242,6 @@ ray_cc_library( ray_cc_library( name = "object_manager_plasma_common", - srcs = ["plasma.cc"], hdrs = [ "common.h", "plasma.h", @@ -252,8 +251,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/object_manager:object_manager_common", "//src/ray/util:compat", - "//src/ray/util:macros", - "@boost//:asio", "@com_google_googletest//:gtest_prod", ], ) diff --git a/src/ray/object_manager/plasma/common.h b/src/ray/object_manager/plasma/common.h index 3796905b5d72..669aad1b7c3c 100644 --- a/src/ray/object_manager/plasma/common.h +++ b/src/ray/object_manager/plasma/common.h @@ -18,11 +18,8 @@ #pragma once #include -#include -#include -#include -#include +#include #include #include "ray/common/id.h" @@ -30,7 +27,6 @@ #include "ray/object_manager/plasma/plasma.h" #include "ray/object_manager/plasma/plasma_generated.h" #include "ray/util/compat.h" -#include "ray/util/macros.h" namespace plasma { @@ -73,7 +69,8 @@ struct Allocation { bool fallback_allocated_; // only allow moves. - RAY_DISALLOW_COPY_AND_ASSIGN(Allocation); + Allocation(const Allocation &) = delete; + Allocation &operator=(const Allocation &) = delete; Allocation(Allocation &&) noexcept = default; Allocation &operator=(Allocation &&) noexcept = default; @@ -116,9 +113,11 @@ struct Allocation { /// the eviction policy. class LocalObject { public: - explicit LocalObject(Allocation allocation); + explicit LocalObject(Allocation allocation) + : allocation_(std::move(allocation)), ref_count_(0) {} - RAY_DISALLOW_COPY_AND_ASSIGN(LocalObject); + LocalObject(const LocalObject &) = delete; + LocalObject &operator=(const LocalObject &) = delete; int64_t GetObjectSize() const { return object_info_.GetObjectSize(); } diff --git a/src/ray/object_manager/plasma/plasma.cc b/src/ray/object_manager/plasma/plasma.cc deleted file mode 100644 index 04bf03779d94..000000000000 --- a/src/ray/object_manager/plasma/plasma.cc +++ /dev/null @@ -1,28 +0,0 @@ -// Licensed to the Apache Software Foundation (ASF) under one -// or more contributor license agreements. See the NOTICE file -// distributed with this work for additional information -// regarding copyright ownership. The ASF licenses this file -// to you under the Apache License, Version 2.0 (the -// "License"); you may not use this file except in compliance -// with the License. You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -#include "ray/object_manager/plasma/plasma.h" - -#include - -#include "ray/object_manager/plasma/common.h" - -namespace plasma { - -LocalObject::LocalObject(Allocation allocation) - : allocation_(std::move(allocation)), ref_count_(0) {} -} // namespace plasma diff --git a/src/ray/object_manager/plasma/plasma.h b/src/ray/object_manager/plasma/plasma.h index 6b2eecbf805f..3f162396dc90 100644 --- a/src/ray/object_manager/plasma/plasma.h +++ b/src/ray/object_manager/plasma/plasma.h @@ -17,14 +17,8 @@ #pragma once -#include -#include - -#include -#include -#include -#include -#include +#include +#include #include "ray/util/compat.h" diff --git a/src/ray/object_manager/plasma/shared_memory.h b/src/ray/object_manager/plasma/shared_memory.h index 8d597d538e1a..6623f25970b9 100644 --- a/src/ray/object_manager/plasma/shared_memory.h +++ b/src/ray/object_manager/plasma/shared_memory.h @@ -27,6 +27,9 @@ class ClientMmapTableEntry { public: ClientMmapTableEntry(MEMFD_TYPE fd, int64_t map_size); + ClientMmapTableEntry(const ClientMmapTableEntry &) = delete; + ClientMmapTableEntry &operator=(const ClientMmapTableEntry &) = delete; + ~ClientMmapTableEntry(); uint8_t *pointer() const { return reinterpret_cast(pointer_); } @@ -42,8 +45,6 @@ class ClientMmapTableEntry { size_t length_; void MaybeMadviseDontdump(); - - RAY_DISALLOW_COPY_AND_ASSIGN(ClientMmapTableEntry); }; } // namespace plasma diff --git a/src/ray/util/macros.h b/src/ray/util/macros.h index 0a81b92bc230..5e111c43fcb3 100644 --- a/src/ray/util/macros.h +++ b/src/ray/util/macros.h @@ -14,13 +14,6 @@ #pragma once -// From Google gutil -#ifndef RAY_DISALLOW_COPY_AND_ASSIGN -#define RAY_DISALLOW_COPY_AND_ASSIGN(TypeName) \ - TypeName(const TypeName &) = delete; \ - void operator=(const TypeName &) = delete -#endif - #define RAY_UNUSED(x) (void)x // diff --git a/src/ray/util/subreaper.h b/src/ray/util/subreaper.h index ab3f060f00a9..94047a751373 100644 --- a/src/ray/util/subreaper.h +++ b/src/ray/util/subreaper.h @@ -105,10 +105,13 @@ class KnownChildrenTracker { std::vector ListUnknownChildren( std::function()> list_pids_fn); + KnownChildrenTracker(const KnownChildrenTracker &) = delete; + KnownChildrenTracker &operator=(const KnownChildrenTracker &) = delete; + + ~KnownChildrenTracker() = default; + private: KnownChildrenTracker() = default; - ~KnownChildrenTracker() = default; - RAY_DISALLOW_COPY_AND_ASSIGN(KnownChildrenTracker); bool enabled_ = false; absl::Mutex m_; From b7649079bc683d19c4df19c624fada2fa8ffb905 Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Mon, 8 Sep 2025 18:47:29 +0200 Subject: [PATCH 1083/1566] [serve] Require prefix `RAY_SERVE_` for env vars + value verification (#55864) ## Why are these changes needed? - Require prefix `RAY_SERVE_` for all environment variable names in the `serve` module (excluding existent). - Introduce deprecation warning and replacement for existing environment variable names without `RAY_SERVE_` prefix (deprecation in the next major `3.0.0` release): - the warning is logged only for explicitly defined variable - replacement contains `RAY_SERVE_` prefix (e.g. `RAY_SERVE_MAX_PER_REPLICA_RETRY_COUNT` for `MAX_PER_REPLICA_RETRY_COUNT`) Commands: ```bash ray start --head serve config # wrong name warning export MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT=1 export MAX_PER_REPLICA_RETRY_COUNT=1 export REQUEST_LATENCY_BUCKETS_MS=1 export MODEL_LOAD_LATENCY_BUCKETS_MS=1 export MAX_CACHED_HANDLES=1 export CONTROLLER_MAX_CONCURRENCY=1 export SERVE_REQUEST_PROCESSING_TIMEOUT_S=1 export RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S=1 ``` Output: ```bash bash$ serve config ~/ray/python/ray/serve/_private/constants.py:60: FutureWarning: Starting from version `3.0.0` environment variable `MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT` will be deprecated. Please use `RAY_SERVE_MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT` instead. get_env_int("MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", 20), ~/ray/python/ray/serve/_private/constants.py:67: FutureWarning: Starting from version `3.0.0` environment variable `MAX_PER_REPLICA_RETRY_COUNT` will be deprecated. Please use `RAY_SERVE_MAX_PER_REPLICA_RETRY_COUNT` instead. get_env_int("MAX_PER_REPLICA_RETRY_COUNT", 3), ~/ray/python/ray/serve/_private/constants.py:112: FutureWarning: Starting from version `3.0.0` environment variable `REQUEST_LATENCY_BUCKETS_MS` will be deprecated. Please use `RAY_SERVE_REQUEST_LATENCY_BUCKETS_MS` instead. get_env_str("REQUEST_LATENCY_BUCKETS_MS", ""), ~/ray/python/ray/serve/_private/constants.py:120: FutureWarning: Starting from version `3.0.0` environment variable `MODEL_LOAD_LATENCY_BUCKETS_MS` will be deprecated. Please use `RAY_SERVE_MODEL_LOAD_LATENCY_BUCKETS_MS` instead. get_env_str("MODEL_LOAD_LATENCY_BUCKETS_MS", ""), ~/ray/python/ray/serve/_private/constants.py:136: FutureWarning: Starting from version `3.0.0` environment variable `MAX_CACHED_HANDLES` will be deprecated. Please use `RAY_SERVE_MAX_CACHED_HANDLES` instead. "RAY_SERVE_MAX_CACHED_HANDLES", get_env_int_positive("MAX_CACHED_HANDLES", 100) ~/ray/python/ray/serve/_private/constants.py:143: FutureWarning: Starting from version `3.0.0` environment variable `CONTROLLER_MAX_CONCURRENCY` will be deprecated. Please use `RAY_SERVE_CONTROLLER_MAX_CONCURRENCY` instead. get_env_int_positive("CONTROLLER_MAX_CONCURRENCY", 15_000), ~/ray/python/ray/serve/_private/constants.py:255: FutureWarning: Starting from version `3.0.0` environment variable `SERVE_REQUEST_PROCESSING_TIMEOUT_S` will be deprecated. Please use `RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S` instead. get_env_float_non_negative("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0), ~/ray/python/ray/serve/_private/constants.py:306: FutureWarning: Starting from version `3.0.0` environment variable `RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S` will be deprecated. Please use `RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S` instead. get_env_float("RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S", 10.0), ``` - Update `get_env_str` and `get_env_bool` to use internal `_get_env_value` + update type hints -- - Replace `get_env_float_non_zero_with_warning` with `get_env_float_positive` for the `2.50.0` release. See PR #55464 for details. Now the following environment variables require positive value: ``` RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S RAY_SERVE_KV_TIMEOUT_S ``` - Require non negative value for the following environment variables: ``` RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S ``` -- For this change, the following could be added to `2.50.0` **release notes**: Ray Serve: Enhancements: Health check & env var safety: - Introduced `RAY_SERVE_` required prefix for environment variables. - Warnings for invalid environment variable names, with migration path planned for Ray `3.0.0`. - Added verification for timeout environment variables to be positive or non negative. ## Related issue number Closes #55453 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: axreldable Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 63 +++-- python/ray/serve/_private/constants_utils.py | 105 +++++--- .../serve/tests/unit/test_constants_utils.py | 225 +++++++----------- 3 files changed, 200 insertions(+), 193 deletions(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 168fcb718ecf..774aee0c86f8 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -4,8 +4,9 @@ get_env_bool, get_env_float, get_env_float_non_negative, - get_env_float_non_zero_with_warning, + get_env_float_positive, get_env_int, + get_env_int_non_negative, get_env_int_positive, get_env_str, parse_latency_buckets, @@ -52,15 +53,20 @@ #: Max retry count for allowing failures in replica constructor. #: If no replicas at target version is running by the time we're at -#: max construtor retry count, deploy() is considered failed. +#: max constructor retry count, deploy() is considered failed. #: By default we set threshold as min(num_replicas * 3, this value) MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT = get_env_int( - "MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", 20 + "RAY_SERVE_MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", + get_env_int("MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", 20), ) # Max retry on deployment constructor is # min(num_replicas * MAX_PER_REPLICA_RETRY_COUNT, MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT) -MAX_PER_REPLICA_RETRY_COUNT = get_env_int("MAX_PER_REPLICA_RETRY_COUNT", 3) +MAX_PER_REPLICA_RETRY_COUNT = get_env_int( + "RAY_SERVE_MAX_PER_REPLICA_RETRY_COUNT", + get_env_int("MAX_PER_REPLICA_RETRY_COUNT", 3), +) + # If you are wondering why we are using histogram buckets, please refer to # https://prometheus.io/docs/practices/histograms/ @@ -101,11 +107,19 @@ # RAY_SERVE_MODEL_LOAD_LATENCY_BUCKET_MS="1,2,3,4" #: Histogram buckets for request latency. REQUEST_LATENCY_BUCKETS_MS = parse_latency_buckets( - get_env_str("REQUEST_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS + get_env_str( + "RAY_SERVE_REQUEST_LATENCY_BUCKETS_MS", + get_env_str("REQUEST_LATENCY_BUCKETS_MS", ""), + ), + DEFAULT_LATENCY_BUCKET_MS, ) #: Histogram buckets for model load/unload latency. MODEL_LOAD_LATENCY_BUCKETS_MS = parse_latency_buckets( - get_env_str("MODEL_LOAD_LATENCY_BUCKETS_MS", ""), DEFAULT_LATENCY_BUCKET_MS + get_env_str( + "RAY_SERVE_MODEL_LOAD_LATENCY_BUCKETS_MS", + get_env_str("MODEL_LOAD_LATENCY_BUCKETS_MS", ""), + ), + DEFAULT_LATENCY_BUCKET_MS, ) #: Name of deployment health check method implemented by user. @@ -118,11 +132,16 @@ #: Limit the number of cached handles because each handle has long poll #: overhead. See https://github.com/ray-project/ray/issues/18980 -MAX_CACHED_HANDLES = get_env_int_positive("MAX_CACHED_HANDLES", 100) +MAX_CACHED_HANDLES = get_env_int_positive( + "RAY_SERVE_MAX_CACHED_HANDLES", get_env_int_positive("MAX_CACHED_HANDLES", 100) +) #: Because ServeController will accept one long poll request per handle, its #: concurrency needs to scale as O(num_handles) -CONTROLLER_MAX_CONCURRENCY = get_env_int_positive("CONTROLLER_MAX_CONCURRENCY", 15_000) +CONTROLLER_MAX_CONCURRENCY = get_env_int_positive( + "RAY_SERVE_CONTROLLER_MAX_CONCURRENCY", + get_env_int_positive("CONTROLLER_MAX_CONCURRENCY", 15_000), +) DEFAULT_GRACEFUL_SHUTDOWN_TIMEOUT_S = 20 DEFAULT_GRACEFUL_SHUTDOWN_WAIT_LOOP_S = 2 @@ -132,14 +151,14 @@ DEFAULT_TARGET_ONGOING_REQUESTS = 2 # HTTP Proxy health check configs -PROXY_HEALTH_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( +PROXY_HEALTH_CHECK_TIMEOUT_S = get_env_float_positive( "RAY_SERVE_PROXY_HEALTH_CHECK_TIMEOUT_S", 10.0 ) -PROXY_HEALTH_CHECK_PERIOD_S = get_env_float_non_zero_with_warning( +PROXY_HEALTH_CHECK_PERIOD_S = get_env_float_positive( "RAY_SERVE_PROXY_HEALTH_CHECK_PERIOD_S", 10.0 ) -PROXY_READY_CHECK_TIMEOUT_S = get_env_float_non_zero_with_warning( +PROXY_READY_CHECK_TIMEOUT_S = get_env_float_positive( "RAY_SERVE_PROXY_READY_CHECK_TIMEOUT_S", 5.0 ) @@ -148,7 +167,7 @@ PROXY_HEALTH_CHECK_UNHEALTHY_THRESHOLD = 3 # The minimum drain period for a HTTP proxy. -PROXY_MIN_DRAINING_PERIOD_S = get_env_float_non_zero_with_warning( +PROXY_MIN_DRAINING_PERIOD_S = get_env_float_positive( "RAY_SERVE_PROXY_MIN_DRAINING_PERIOD_S", 30.0 ) # The time in seconds that the http proxy state waits before @@ -167,9 +186,7 @@ CLIENT_CHECK_CREATION_POLLING_INTERVAL_S = 0.1 # Timeout for GCS internal KV service -RAY_SERVE_KV_TIMEOUT_S = get_env_float_non_zero_with_warning( - "RAY_SERVE_KV_TIMEOUT_S", None -) +RAY_SERVE_KV_TIMEOUT_S = get_env_float_positive("RAY_SERVE_KV_TIMEOUT_S", None) # Timeout for GCS RPC request RAY_GCS_RPC_TIMEOUT_S = 3.0 @@ -228,13 +245,15 @@ "skip_context_filter", } -RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S = get_env_int( +RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S = get_env_int_non_negative( "RAY_SERVE_HTTP_KEEP_ALIVE_TIMEOUT_S", 0 ) RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S = ( - get_env_float("RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0) - or get_env_float("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0) + get_env_float_non_negative( + "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S", + get_env_float_non_negative("SERVE_REQUEST_PROCESSING_TIMEOUT_S", 0.0), + ) or None ) @@ -289,11 +308,11 @@ # Serve multiplexed matching timeout. # This is the timeout for the matching process of multiplexed requests. To avoid -# thundering herd problem, the timeout value will be randomed between this value +# thundering herd problem, the timeout value will be randomized between this value # and this value * 2. The unit is second. # If the matching process takes longer than the timeout, the request will be # fallen to the default routing strategy. -RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S = get_env_float( +RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S = get_env_float_non_negative( "RAY_SERVE_MULTIPLEXED_MODEL_ID_MATCHING_TIMEOUT_S", 1.0 ) @@ -328,7 +347,7 @@ ) # Length of time to respect entries in the queue length cache when routing requests. -RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S = get_env_float( +RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S = get_env_float_non_negative( "RAY_SERVE_QUEUE_LENGTH_CACHE_TIMEOUT_S", 10.0 ) @@ -356,7 +375,7 @@ "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE", "1" ) -RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S = get_env_float( +RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S = get_env_float_non_negative( "RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S", 10.0 ) diff --git a/python/ray/serve/_private/constants_utils.py b/python/ray/serve/_private/constants_utils.py index 0ac97ab3eabd..019df87d86b8 100644 --- a/python/ray/serve/_private/constants_utils.py +++ b/python/ray/serve/_private/constants_utils.py @@ -47,13 +47,38 @@ def parse_latency_buckets(bucket_str: str, default_buckets: List[float]) -> List T = TypeVar("T") +# todo: remove for the '3.0.0' release. +_wrong_names_white_list = { + "MAX_DEPLOYMENT_CONSTRUCTOR_RETRY_COUNT", + "MAX_PER_REPLICA_RETRY_COUNT", + "REQUEST_LATENCY_BUCKETS_MS", + "MODEL_LOAD_LATENCY_BUCKETS_MS", + "MAX_CACHED_HANDLES", + "CONTROLLER_MAX_CONCURRENCY", + "SERVE_REQUEST_PROCESSING_TIMEOUT_S", +} + + +def _validate_name(name: str) -> None: + """Validate Ray Serve environment variable name.""" + required_prefix = "RAY_SERVE_" + + if not name.startswith(required_prefix): + if name in _wrong_names_white_list: + return + + raise ValueError( + f"Got unexpected environment variable name `{name}`! " + f"Ray Serve environment variables require prefix `{required_prefix}`. " + ) + def _get_env_value( name: str, default: Optional[T], value_type: Type[T], validation_func: Optional[Callable[[T], bool]] = None, - expected_value_description: str = None, + expected_value_description: Optional[str] = None, ) -> Optional[T]: """Get environment variable with type conversion and validation. @@ -63,12 +88,13 @@ def _get_env_value( Args: name: The name of the environment variable. default: Default value to use if the environment variable is not set. - If None, the function will return None without validation. + If None, the function will return None without validation. value_type: Type to convert the environment variable value to (e.g., int, float, str). validation_func: Optional function that takes the converted value and returns - a boolean indicating whether the value is valid. + a boolean indicating whether the value is valid. expected_value_description: Description of the expected value characteristics - (e.g., "positive", "non negative") used in error messages. + (e.g., "positive", "non-negative") used in error messages. + Optional, expected only if validation_func is provided. Returns: The environment variable value converted to the specified type and validated, @@ -76,11 +102,19 @@ def _get_env_value( Raises: ValueError: If the environment variable value cannot be converted to the specified - type, or if it fails the optional validation check. + type, or if it fails the optional validation check. Also, if name validation fails. """ - raw = os.environ.get(name, default) - if raw is None: - return None + _validate_name(name) + + explicitly_defined_value = os.environ.get(name) + if explicitly_defined_value is None: + if default is None: + return None + else: + raw = default + else: + _deprecation_warning(name) + raw = explicitly_defined_value try: value = value_type(raw) @@ -194,7 +228,7 @@ def get_env_float_non_negative(name: str, default: Optional[float]) -> Optional[ return _get_env_value(name, default, float, lambda x: x >= 0, "non negative") -def get_env_str(name: str, default: Optional[str]) -> str: +def get_env_str(name: str, default: Optional[str]) -> Optional[str]: """Get environment variable as a string. Args: @@ -203,11 +237,12 @@ def get_env_str(name: str, default: Optional[str]) -> str: Returns: The environment variable value as a string. + Returns `None` if default is `None` and value not found. """ - return os.environ.get(name, default) + return _get_env_value(name, default, str) -def get_env_bool(name: str, default: Optional[str]) -> bool: +def get_env_bool(name: str, default: str) -> bool: """Get environment variable as a boolean. Environment variable values of "1" are interpreted as True, all others as False. @@ -215,38 +250,42 @@ def get_env_bool(name: str, default: Optional[str]) -> bool: Args: name: The name of the environment variable. default: Default value to use if the environment variable is not set. + Expects "0" or "1". Returns: True if the environment variable value is "1", False otherwise. """ - return os.environ.get(name, default) == "1" + env_value_str = _get_env_value(name, default, str) + return env_value_str == "1" -def get_env_float_non_zero_with_warning( - name: str, default: Optional[float] -) -> Optional[float]: - """Introduced for backward compatibility for constants: +def _deprecation_warning(name: str) -> None: + """Log replacement warning for wrong or legacy environment variables. - PROXY_HEALTH_CHECK_TIMEOUT_S - PROXY_HEALTH_CHECK_PERIOD_S - PROXY_READY_CHECK_TIMEOUT_S - PROXY_MIN_DRAINING_PERIOD_S - RAY_SERVE_KV_TIMEOUT_S + TODO: remove this function for the '3.0.0' release. - todo: replace this function with 'get_env_float_positive' for the '2.50.0' release. + :param name: environment variable name """ - removal_version = "2.50.0" - - env_value = get_env_float(name, default) - backward_compatible_result = env_value or default - if env_value is not None and env_value <= 0: - # warning message if unexpected value + def get_new_name(name: str) -> str: + if name == "RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S": + return "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S" + elif name == "SERVE_REQUEST_PROCESSING_TIMEOUT_S": + return "RAY_SERVE_REQUEST_PROCESSING_TIMEOUT_S" + else: + return f"{required_prefix}{name}" + + change_version = "3.0.0" + required_prefix = "RAY_SERVE_" + + if ( + name in _wrong_names_white_list + or name == "RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S" + ): + new_name = get_new_name(name) warnings.warn( - f"Got unexpected value `{env_value}` for `{name}` environment variable! " - f"Starting from version `{removal_version}`, the environment variable will require a positive value. " - f"Setting `{name}` to `{backward_compatible_result}`. ", + f"Starting from version `{change_version}` environment variable " + f"`{name}` will be deprecated. Please use `{new_name}` instead.", FutureWarning, - stacklevel=2, + stacklevel=4, ) - return backward_compatible_result diff --git a/python/ray/serve/tests/unit/test_constants_utils.py b/python/ray/serve/tests/unit/test_constants_utils.py index 96bcbcbd05e6..e5e2754b5190 100644 --- a/python/ray/serve/tests/unit/test_constants_utils.py +++ b/python/ray/serve/tests/unit/test_constants_utils.py @@ -2,13 +2,12 @@ from unittest.mock import patch import pytest -from testfixtures import mock from ray.serve._private.constants_utils import ( + _validate_name, get_env_bool, get_env_float, get_env_float_non_negative, - get_env_float_non_zero_with_warning, get_env_float_positive, get_env_int, get_env_int_non_negative, @@ -97,192 +96,142 @@ def mock_environ(): class TestEnvValueFunctions: def test_get_env_int(self, mock_environ): - assert get_env_int("TEST_VAR", 0) == 0 + assert get_env_int("RAY_SERVE_TEST_VAR", 0) == 0 - mock_environ["TEST_VAR"] = "42" - assert get_env_int("TEST_VAR", 0) == 42 + mock_environ["RAY_SERVE_TEST_VAR"] = "42" + assert get_env_int("RAY_SERVE_TEST_VAR", 0) == 42 - mock_environ["TEST_VAR"] = "-1" - assert get_env_int("TEST_VAR", 0) == -1 + mock_environ["RAY_SERVE_TEST_VAR"] = "-1" + assert get_env_int("RAY_SERVE_TEST_VAR", 0) == -1 - mock_environ["TEST_VAR"] = "0.1" + mock_environ["RAY_SERVE_TEST_VAR"] = "0.1" with pytest.raises(ValueError, match=".*`0.1` cannot be converted to `int`!*"): - get_env_int_positive("TEST_VAR", 5) + get_env_int_positive("RAY_SERVE_TEST_VAR", 5) - mock_environ["TEST_VAR"] = "abc" + mock_environ["RAY_SERVE_TEST_VAR"] = "abc" with pytest.raises(ValueError, match=".*`abc` cannot be converted to `int`!*"): - get_env_int_positive("TEST_VAR", 5) + get_env_int_positive("RAY_SERVE_TEST_VAR", 5) + + with pytest.raises(ValueError, match=".*require prefix `RAY_SERVE_`*"): + get_env_int_positive("NO_PREFIX", 5) def test_get_env_int_positive(self, mock_environ): - assert get_env_int_positive("TEST_VAR", 1) == 1 + assert get_env_int_positive("RAY_SERVE_TEST_VAR", 1) == 1 - mock_environ["TEST_VAR"] = "42" - assert get_env_int_positive("TEST_VAR", 1) == 42 + mock_environ["RAY_SERVE_TEST_VAR"] = "42" + assert get_env_int_positive("RAY_SERVE_TEST_VAR", 1) == 42 - mock_environ["TEST_VAR"] = "-1" + mock_environ["RAY_SERVE_TEST_VAR"] = "-1" with pytest.raises(ValueError, match=".*Expected positive `int`.*"): - get_env_int_positive("TEST_VAR", 5) + get_env_int_positive("RAY_SERVE_TEST_VAR", 5) def test_get_env_int_non_negative(self, mock_environ): - assert get_env_int_non_negative("TEST_VAR", 0) == 0 - assert get_env_int_non_negative("TEST_VAR", 1) == 1 + assert get_env_int_non_negative("RAY_SERVE_TEST_VAR", 0) == 0 + assert get_env_int_non_negative("RAY_SERVE_TEST_VAR", 1) == 1 - mock_environ["TEST_VAR"] = "42" - assert get_env_int_non_negative("TEST_VAR", 0) == 42 + mock_environ["RAY_SERVE_TEST_VAR"] = "42" + assert get_env_int_non_negative("RAY_SERVE_TEST_VAR", 0) == 42 - mock_environ["TEST_VAR"] = "-1" + mock_environ["RAY_SERVE_TEST_VAR"] = "-1" with pytest.raises(ValueError, match=".*Expected non negative `int`.*"): - get_env_int_non_negative("TEST_VAR", 5) + get_env_int_non_negative("RAY_SERVE_TEST_VAR", 5) with pytest.raises(ValueError, match=".*Expected non negative `int`.*"): - get_env_int_non_negative("TEST_VAR_FROM_DEFAULT", -1) + get_env_int_non_negative("RAY_SERVE_TEST_VAR_FROM_DEFAULT", -1) def test_get_env_float(self, mock_environ): - assert get_env_float("TEST_VAR", 0.0) == 0.0 + assert get_env_float("RAY_SERVE_TEST_VAR", 0.0) == 0.0 - mock_environ["TEST_VAR"] = "3.14" - assert get_env_float("TEST_VAR", 0.0) == 3.14 + mock_environ["RAY_SERVE_TEST_VAR"] = "3.14" + assert get_env_float("RAY_SERVE_TEST_VAR", 0.0) == 3.14 - mock_environ["TEST_VAR"] = "-2.5" - assert get_env_float("TEST_VAR", 0.0) == -2.5 + mock_environ["RAY_SERVE_TEST_VAR"] = "-2.5" + assert get_env_float("RAY_SERVE_TEST_VAR", 0.0) == -2.5 - mock_environ["TEST_VAR"] = "abc" + mock_environ["RAY_SERVE_TEST_VAR"] = "abc" with pytest.raises( ValueError, match=".*`abc` cannot be converted to `float`!*" ): - get_env_float("TEST_VAR", 0.0) + get_env_float("RAY_SERVE_TEST_VAR", 0.0) def test_get_env_float_positive(self, mock_environ): - assert get_env_float_positive("TEST_VAR", 1.5) == 1.5 - assert get_env_float_positive("TEST_VAR", None) is None + assert get_env_float_positive("RAY_SERVE_TEST_VAR", 1.5) == 1.5 + assert get_env_float_positive("RAY_SERVE_TEST_VAR", None) is None - mock_environ["TEST_VAR"] = "42.5" - assert get_env_float_positive("TEST_VAR", 1.0) == 42.5 + mock_environ["RAY_SERVE_TEST_VAR"] = "42.5" + assert get_env_float_positive("RAY_SERVE_TEST_VAR", 1.0) == 42.5 - mock_environ["TEST_VAR"] = "-1.2" + mock_environ["RAY_SERVE_TEST_VAR"] = "-1.2" with pytest.raises(ValueError, match=".*Expected positive `float`.*"): - get_env_float_positive("TEST_VAR", 5.0) + get_env_float_positive("RAY_SERVE_TEST_VAR", 5.0) with pytest.raises(ValueError, match=".*Expected positive `float`.*"): - get_env_float_positive("TEST_VAR_FROM_DEFAULT", 0.0) + get_env_float_positive("RAY_SERVE_TEST_VAR_FROM_DEFAULT", 0.0) with pytest.raises(ValueError, match=".*Expected positive `float`.*"): - get_env_float_positive("TEST_VAR_FROM_DEFAULT", -1) + get_env_float_positive("RAY_SERVE_TEST_VAR_FROM_DEFAULT", -1) def test_get_env_float_non_negative(self, mock_environ): - assert get_env_float_non_negative("TEST_VAR", 0.0) == 0.0 - assert get_env_float_non_negative("TEST_VAR", 1.5) == 1.5 + assert get_env_float_non_negative("RAY_SERVE_TEST_VAR", 0.0) == 0.0 + assert get_env_float_non_negative("RAY_SERVE_TEST_VAR", 1.5) == 1.5 - mock_environ["TEST_VAR"] = "42.5" - assert get_env_float_non_negative("TEST_VAR", 0.0) == 42.5 + mock_environ["RAY_SERVE_TEST_VAR"] = "42.5" + assert get_env_float_non_negative("RAY_SERVE_TEST_VAR", 0.0) == 42.5 - mock_environ["TEST_VAR"] = "-1.2" + mock_environ["RAY_SERVE_TEST_VAR"] = "-1.2" with pytest.raises(ValueError, match=".*Expected non negative `float`.*"): - get_env_float_non_negative("TEST_VAR", 5.0) + get_env_float_non_negative("RAY_SERVE_TEST_VAR", 5.0) def test_get_env_str(self, mock_environ): - mock_environ["TEST_STR"] = "hello" - assert get_env_str("TEST_STR", "default") == "hello" + mock_environ["RAY_SERVE_TEST_STR"] = "hello" + assert get_env_str("RAY_SERVE_TEST_STR", "default") == "hello" - assert get_env_str("NONEXISTENT_VAR", "default_str") == "default_str" + assert get_env_str("RAY_SERVE_NONEXISTENT_VAR", "default_str") == "default_str" - assert get_env_str("NONEXISTENT_VAR", None) is None + assert get_env_str("RAY_SERVE_NONEXISTENT_VAR", None) is None def test_get_env_bool(self, mock_environ): - mock_environ["TEST_BOOL_TRUE"] = "1" - assert get_env_bool("TEST_BOOL_TRUE", "0") is True + mock_environ["RAY_SERVE_TEST_BOOL_TRUE"] = "1" + assert get_env_bool("RAY_SERVE_TEST_BOOL_TRUE", "0") is True # Test with any other value (False) - mock_environ["TEST_BOOL_FALSE"] = "true" - assert get_env_bool("TEST_BOOL_FALSE", "0") is False - mock_environ["TEST_BOOL_FALSE2"] = "yes" - assert get_env_bool("TEST_BOOL_FALSE2", "0") is False + mock_environ["RAY_SERVE_TEST_BOOL_FALSE"] = "true" + assert get_env_bool("RAY_SERVE_TEST_BOOL_FALSE", "0") is False + mock_environ["RAY_SERVE_TEST_BOOL_FALSE2"] = "yes" + assert get_env_bool("RAY_SERVE_TEST_BOOL_FALSE2", "0") is False # Test with default when environment variable not set - assert get_env_bool("NONEXISTENT_VAR", "1") is True - assert get_env_bool("NONEXISTENT_VAR", "0") is False - - -class TestDeprecationFunctions: - def test_current_behavior(self, mock_environ): - mock_environ["OLD_VAR_NEG"] = "-1" - assert get_env_float("OLD_VAR_NEG", 10.0) or 10.0 == -1.0 - assert (get_env_float("OLD_VAR_NEG", 0.0) or None) == -1.0 - - mock_environ["OLD_VAR_ZERO"] = "0" - assert get_env_float("OLD_VAR_ZERO", 10.0) or 10.0 == 10.0 - - assert get_env_float("NOT_SET", 10.0) or 10.0 == 10.0 - - assert (get_env_float("NOT_SET", 0.0) or None) is None - - @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 - def test_with_positive_value_before_250(self, mock_environ): - env_name = "TEST_POSITIVE_FLOAT" - mock_environ[env_name] = "5.5" - - result = get_env_float_non_zero_with_warning(env_name, 10.0) - - assert result == 5.5 - - @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 - def test_with_non_positive_value_before_250(self, mock_environ): - env_name = "TEST_NON_POSITIVE_FLOAT" - mock_environ[env_name] = "-2.5" - - with pytest.warns(FutureWarning) as record: - result = get_env_float_non_zero_with_warning(env_name, 10.0) - - assert result == -2.5 - assert len(record) == 1 - assert "will require a positive value" in str(record[0].message) - - @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 - def test_with_zero_value_before_250(self, mock_environ): - env_name = "TEST_ZERO_FLOAT" - mock_environ[env_name] = "0.0" - - with pytest.warns(FutureWarning) as record: - result = get_env_float_non_zero_with_warning(env_name, 10.0) - - assert result == 10.0 - assert len(record) == 1 - assert "will require a positive value" in str(record[0].message) - - @mock.patch("ray.__version__", "2.49.0") # Version before 2.50.0 - def test_with_no_env_value_before_250(self): - env_name = "TEST_MISSING_FLOAT" - # Don't set environment variable - - result = get_env_float_non_zero_with_warning(env_name, 1.0) - - assert result == 1.0 - - @mock.patch("ray.__version__", "2.50.0") # Version at 2.50.0 - def test_remain_the_same_behavior_at_2_50(self, mock_environ): - env_name = "TEST_FLOAT" - mock_environ[env_name] = "2.0" - - assert get_env_float_non_zero_with_warning(env_name, 1.0) == 2.0 - - mock_environ["TEST_VAR"] = "-1.2" - assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == -1.2 - - mock_environ["TEST_VAR"] = "0.0" - assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == 5.0 - - @mock.patch("ray.__version__", "2.51.0") # Version after 2.50.0 - def test_remain_the_same_behavior_after_2_50(self, mock_environ): - env_name = "TEST_FLOAT" - mock_environ[env_name] = "2.0" - - assert get_env_float_non_zero_with_warning(env_name, 1.0) == 2.0 - - mock_environ["TEST_VAR"] = "-1.2" - assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == -1.2 - - mock_environ["TEST_VAR"] = "0.0" - assert get_env_float_non_zero_with_warning("TEST_VAR", 5.0) == 5.0 + assert get_env_bool("RAY_SERVE_NONEXISTENT_VAR", "1") is True + assert get_env_bool("RAY_SERVE_NONEXISTENT_VAR", "0") is False + + +class TestValidation: + @pytest.mark.parametrize( + "name", + [ + "RAY_SERVE_FOO", + "RAY_SERVE__DOUBLE_UNDERSCORE", + "RAY_SERVE_123", + "RAY_SERVE_VAR_NAME", + ], + ) + def test_validate_name_accepts_valid_prefix(self, name): + # Should not raise + assert _validate_name(name) is None + + @pytest.mark.parametrize( + "name", + [ + "", + "RAY_SERVE", # missing trailing underscore and name + "SERVE_VAR", + "ray_SERVE_BAR", + "RAY_service_VAR", + ], + ) + def test_validate_name_rejects_invalid_prefix(self, name): + with pytest.raises(ValueError, match=".*require prefix `RAY_SERVE_`*"): + _validate_name(name) if __name__ == "__main__": From 1f6cf55d9d51eae3a371537b6eede367dd8643f7 Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Mon, 8 Sep 2025 10:09:23 -0700 Subject: [PATCH 1084/1566] [docs] serve llm deployment examples refinement (#56287) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? While testing the examples as Anyscale templates, I found few issues here are the fixes: * **URLs**: Change `latest` links to `master` because the links are not available in `latest` yet Example: `…/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html` → `…/en/master/serve/tutorials/deployment-serve-llm/small-size-llm/README.html` * **Wording**: Standardized “small size / medium size / large size” → “small-sized / medium-sized / large-sized.” * **HF token**: Added `export HF_TOKEN` to small/medium/large tutorials for easier sequential runs; updated comments. * **Service config**: Updated `service.yaml` examples to use Anyscale base images (faster startup); Dockerfile remains as an option in comments. * **Curl examples**: Fixed commands so they run both in terminal and Jupyter cells. * **Vision LLM**: Added a local image example and fixed a relative path error. * **nitpicks**: Improved consistency across docs (e.g. “Example curl:” and “Example python:” formatting for example). ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Aydin Abiar Co-authored-by: Aydin Abiar Signed-off-by: Douglas Strodtman --- .../deployment-serve-llm/README.ipynb | 12 +++++------ .../tutorials/deployment-serve-llm/README.md | 12 +++++------ .../hybrid-reasoning-llm/README.md | 20 ++++++------------ .../hybrid-reasoning-llm/notebook.ipynb | 20 ++++++------------ .../large-size-llm/README.md | 11 ++++------ .../large-size-llm/notebook.ipynb | 11 ++++------ .../large-size-llm/service.yaml | 6 +++--- .../medium-size-llm/README.md | 18 +++++++--------- .../medium-size-llm/notebook.ipynb | 18 +++++++--------- .../medium-size-llm/serve_llama_3_1_70b.py | 2 +- .../medium-size-llm/service.yaml | 8 +++---- .../reasoning-llm/README.md | 11 ++++------ .../reasoning-llm/notebook.ipynb | 11 ++++------ .../small-size-llm/README.md | 18 +++++++--------- .../small-size-llm/notebook.ipynb | 18 +++++++--------- .../small-size-llm/serve_llama_3_1_8b.py | 2 +- .../small-size-llm/service.yaml | 8 +++---- .../deployment-serve-llm/vision-llm/README.md | 19 +++-------------- .../vision-llm/client_local_image.py | 2 +- .../vision-llm/example.jpg | Bin 0 -> 32458 bytes .../vision-llm/notebook.ipynb | 19 +++-------------- 21 files changed, 94 insertions(+), 152 deletions(-) create mode 100644 doc/source/serve/tutorials/deployment-serve-llm/vision-llm/example.jpg diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb index d7f694270177..0b90c73aca73 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb @@ -13,32 +13,32 @@ "\n", "## Tutorial categories\n", "\n", - "**[Small-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/small-size-llm/README.html)** \n", + "**[Small-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** \n", "Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. \n", "\n", "---\n", "\n", - "**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/medium-size-llm/README.html)** \n", + "**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** \n", "Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. \n", "\n", "---\n", "\n", - "**[Large-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/large-size-llm/README.html)** \n", + "**[Large-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** \n", "Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. \n", "\n", "---\n", "\n", - "**[Vision LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/vision-llm/README.html)** \n", + "**[Vision LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** \n", "Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. \n", "\n", "---\n", "\n", - "**[Reasoning LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/reasoning-llm/README.html)** \n", + "**[Reasoning LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** \n", "Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. \n", "\n", "---\n", "\n", - "**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/hybrid-reasoning-llm/README.html)** \n", + "**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** \n", "Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3." ] } diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/README.md index e4372a2a92b7..4aa5318b28cd 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.md @@ -12,30 +12,30 @@ Each tutorial includes development and production setups, tips for configuring y ## Tutorial categories -**[Small-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/small-size-llm/README.html)** +**[Small-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. --- -**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/medium-size-llm/README.html)** +**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. --- -**[Large-sized LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/large-size-llm/README.html)** +**[Large-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. --- -**[Vision LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/vision-llm/README.html)** +**[Vision LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. --- -**[Reasoning LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/reasoning-llm/README.html)** +**[Reasoning LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. --- -**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/ray-overview/examples/deployment-serve-llm/hybrid-reasoning-llm/README.html)** +**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md index 6fdd089399d8..5a01ee73875c 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md @@ -27,7 +27,7 @@ This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. **Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning. -To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.html). +To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html). --- @@ -156,7 +156,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) **Prerequisites** * Access to GPU compute. -* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. +* (Optional) A **Hugging Face token** if using gated models like. Store it in `export HF_TOKEN=`. **Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. @@ -191,7 +191,7 @@ Use the `model_id` defined in your config (here, `my-qwen-3-32b`) to query your You can disable thinking in Qwen-3 by either adding a `/no_think` tag in the prompt or by forwarding `enable_thinking: False` to the vLLM inference engine. -Example curl with `/no_think` +Example curl with `/no_think`: ```bash @@ -199,10 +199,7 @@ Example curl with `/no_think` curl -X POST http://localhost:8000/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer FAKE_KEY" \ - -d '{ \ - "model": "my-qwen-3-32b", \ - "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /no_think"}] \ - }' + -d '{ "model": "my-qwen-3-32b", "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /no_think"}] }' ``` Example Python with `enable_thinking: False`: @@ -240,7 +237,7 @@ Notice the `reasoning_content` is empty here. You can enable thinking in Qwen-3 by either adding a `/think` tag in the prompt or by forwarding `enable_thinking: True` to the vLLM inference engine. -Example curl with `/think` +Example curl with `/think`: ```bash @@ -248,10 +245,7 @@ Example curl with `/think` curl -X POST http://localhost:8000/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer FAKE_KEY" \ - -d '{ \ - "model": "my-qwen-3-32b", \ - "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /think"}] \ - }' + -d '{ "model": "my-qwen-3-32b", "messages": [{"role": "user", "content": "What is greater between 7.8 and 7.11 ? /think"}] }' ``` Example Python with `enable_thinking: True`: @@ -299,7 +293,7 @@ serve shutdown -y ## Deploy to production with Anyscale services -For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#production-deployment-with-anyscale-service) for an example with a medium-sized model like the *Qwen-32b* from this tutorial. +For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial. --- diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb index 08d565da1443..221e991e88d1 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb @@ -24,7 +24,7 @@ "\n", "**Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning.\n", "\n", - "To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.html).\n", + "To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html).\n", "\n", "---\n", "\n", @@ -163,7 +163,7 @@ "**Prerequisites**\n", "\n", "* Access to GPU compute.\n", - "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "* (Optional) A **Hugging Face token** if using gated models like. Store it in `export HF_TOKEN=`.\n", "\n", "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", "\n", @@ -209,7 +209,7 @@ "\n", "You can disable thinking in Qwen-3 by either adding a `/no_think` tag in the prompt or by forwarding `enable_thinking: False` to the vLLM inference engine. \n", "\n", - "Example curl with `/no_think`" + "Example curl with `/no_think`:" ] }, { @@ -223,10 +223,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Content-Type: application/json\" \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-qwen-3-32b\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /no_think\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-qwen-3-32b\", \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /no_think\"}] }'" ] }, { @@ -280,7 +277,7 @@ " \n", "You can enable thinking in Qwen-3 by either adding a `/think` tag in the prompt or by forwarding `enable_thinking: True` to the vLLM inference engine. \n", "\n", - "Example curl with `/think`" + "Example curl with `/think`:" ] }, { @@ -294,10 +291,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Content-Type: application/json\" \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-qwen-3-32b\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /think\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-qwen-3-32b\", \"messages\": [{\"role\": \"user\", \"content\": \"What is greater between 7.8 and 7.11 ? /think\"}] }'" ] }, { @@ -372,7 +366,7 @@ "\n", "## Deploy to production with Anyscale services\n", "\n", - "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#production-deployment-with-anyscale-service) for an example with a medium-sized model like the *Qwen-32b* from this tutorial.\n", + "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial.\n", "\n", "---\n", "\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md index f269a9ea8db5..e40fd9d80c8e 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md @@ -8,7 +8,7 @@ Modify notebook.ipynb instead, then regenerate this file with: jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" --> -# Deploy a large size LLM +# Deploy a large-sized LLM A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results. @@ -73,7 +73,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) **Prerequisites** * Access to GPU compute. -* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`. +* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=`. **Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. @@ -114,10 +114,7 @@ Example curl: curl -X POST http://localhost:8000/v1/chat/completions \ -H "Authorization: Bearer FAKE_KEY" \ -H "Content-Type: application/json" \ - -d '{ \ - "model": "my-deepseek-r1", \ - "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ - }' + -d '{ "model": "my-deepseek-r1", "messages": [{"role": "user", "content": "What is 2 + 2?"}] }' ``` Example Python: @@ -191,7 +188,7 @@ Create your Anyscale service configuration in a new `service.yaml` file: ```yaml #service.yaml name: deploy-deepseek-r1 -image_uri: anyscale/ray-llm:2.49.0-py311-cu128 +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true # Change default disk size to 1000GB diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb index e55d72774072..d4744d6f304f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb @@ -5,7 +5,7 @@ "id": "f8f6fcbd", "metadata": {}, "source": [ - "# Deploy a large size LLM\n", + "# Deploy a large-sized LLM\n", "\n", "A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results.\n", "\n", @@ -80,7 +80,7 @@ "**Prerequisites**\n", "\n", "* Access to GPU compute.\n", - "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`.\n", + "* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=`.\n", "\n", "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", "\n", @@ -138,10 +138,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", " -H \"Content-Type: application/json\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-deepseek-r1\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-deepseek-r1\", \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] }'" ] }, { @@ -242,7 +239,7 @@ "```yaml\n", "#service.yaml\n", "name: deploy-deepseek-r1\n", - "image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile.\n", "compute_config:\n", " auto_select_worker_config: true \n", " # Change default disk size to 1000GB\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml index fb53624fe496..9fb4e4e7130b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/service.yaml @@ -1,6 +1,6 @@ #service.yaml name: deploy-deepseek-r1 -image_uri: anyscale/ray-llm:2.48.0-py311-cu128 +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true # Change default disk size to 1000GB @@ -25,5 +25,5 @@ compute_config: working_dir: . cloud: applications: -# Point to your app in your Python module -- import_path: serve_deepseek_r1:app \ No newline at end of file + # Point to your app in your Python module + - import_path: serve_deepseek_r1:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md index b93843b2cc90..b40f78e86b6b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md @@ -8,7 +8,7 @@ Modify notebook.ipynb instead, then regenerate this file with: jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" --> -# Deploying a medium size LLM +# Deploying a medium-sized LLM A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive. @@ -43,7 +43,7 @@ llm_config = LLMConfig( max_replicas=4, ) ), - ### If your model is not gated, you can skip `hf_token` + ### If your model is not gated, you can skip `HF_TOKEN` # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3. # Type `export HF_TOKEN=` in a terminal runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), @@ -87,6 +87,7 @@ In a terminal, run: ```bash %%bash +export HF_TOKEN= serve run serve_llama_3_1_70b:app --non-blocking ``` @@ -106,10 +107,7 @@ Example curl: curl -X POST http://localhost:8000/v1/chat/completions \ -H "Authorization: Bearer FAKE_KEY" \ -H "Content-Type: application/json" \ - -d '{ \ - "model": "my-llama-3.1-70b", \ - "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ - }' + -d '{ "model": "my-llama-3.1-70b", "messages": [{"role": "user", "content": "What is 2 + 2?"}] }' ``` Example Python: @@ -165,16 +163,16 @@ Anyscale provides out-of-the-box images (`anyscale/ray-llm`), which come pre-loa Create your Anyscale service configuration in a new `service.yaml` file: ```yaml -#service.yaml +# service.yaml name: deploy-llama-3-70b -image_uri: anyscale/ray-llm:2.49.0-py311-cu128 +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true working_dir: . cloud: applications: -# Point to your app in your Python module -- import_path: serve_llama_3_1_70b:app + # Point to your app in your Python module + - import_path: serve_llama_3_1_70b:app ``` Deploy your service. Make sure you forward your Hugging Face token to the command. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb index 40d49aa0a749..fa284ed6f02b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb @@ -5,7 +5,7 @@ "id": "f8f6fcbd", "metadata": {}, "source": [ - "# Deploying a medium size LLM\n", + "# Deploying a medium-sized LLM\n", "\n", "A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive.\n", "\n", @@ -46,7 +46,7 @@ " max_replicas=4,\n", " )\n", " ),\n", - " ### If your model is not gated, you can skip `hf_token`\n", + " ### If your model is not gated, you can skip `HF_TOKEN`\n", " # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3.\n", " # Type `export HF_TOKEN=` in a terminal\n", " runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", @@ -100,6 +100,7 @@ "outputs": [], "source": [ "%%bash\n", + "export HF_TOKEN=\n", "serve run serve_llama_3_1_70b:app --non-blocking" ] }, @@ -130,10 +131,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", " -H \"Content-Type: application/json\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-llama-3.1-70b\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-llama-3.1-70b\", \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] }'" ] }, { @@ -216,16 +214,16 @@ "\n", "Create your Anyscale service configuration in a new `service.yaml` file:\n", "```yaml\n", - "#service.yaml\n", + "# service.yaml\n", "name: deploy-llama-3-70b\n", - "image_uri: anyscale/ray-llm:2.49.0-py311-cu128\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile.\n", "compute_config:\n", " auto_select_worker_config: true \n", "working_dir: .\n", "cloud:\n", "applications:\n", - "# Point to your app in your Python module\n", - "- import_path: serve_llama_3_1_70b:app\n", + " # Point to your app in your Python module\n", + " - import_path: serve_llama_3_1_70b:app\n", "```\n", "\n", "Deploy your service. Make sure you forward your Hugging Face token to the command." diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py index 650b4e2d6574..9e62adffb19a 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py @@ -15,7 +15,7 @@ max_replicas=4, ) ), - ### If your model is not gated, you can skip `hf_token` + ### If your model is not gated, you can skip `HF_TOKEN` # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3. # Type `export HF_TOKEN=` in a terminal runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml index c3828c619110..35388c72f961 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/service.yaml @@ -1,10 +1,10 @@ -#service.yaml +# service.yaml name: deploy-llama-3-70b -containerfile: ./Dockerfile +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true working_dir: . cloud: applications: -# Point to your app in your Python module -- import_path: serve_llama_3_1_70b:app \ No newline at end of file + # Point to your app in your Python module + - import_path: serve_llama_3_1_70b:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md index dcecf2ae8d0e..d7a3aa48f702 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md @@ -131,7 +131,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) **Prerequisites** * Access to GPU compute. -* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=` +* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=` **Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. @@ -170,13 +170,10 @@ Example curl: curl -X POST http://localhost:8000/v1/chat/completions \ -H "Authorization: Bearer FAKE_KEY" \ -H "Content-Type: application/json" \ - -d '{ \ - "model": "my-qwq-32B", \ - "messages": [{"role": "user", "content": "Pick three random words with 3 syllables each and count the number of R'\''s in each of them"}] \ - }' + -d '{ "model": "my-qwq-32B", "messages": [{"role": "user", "content": "Pick three random words with 3 syllables each and count the number of R'\''s in each of them"}] }' ``` -Example python: +Example Python: ```python @@ -219,7 +216,7 @@ serve shutdown -y ## Deploy to production with Anyscale services -For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium size LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here. +For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here. --- diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb index 938268090be5..7f60d2c396c2 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb @@ -138,7 +138,7 @@ "**Prerequisites**\n", "\n", "* Access to GPU compute.\n", - "* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=`\n", + "* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=`\n", "\n", "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", "\n", @@ -194,10 +194,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", " -H \"Content-Type: application/json\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-qwq-32B\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"Pick three random words with 3 syllables each and count the number of R'\\''s in each of them\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-qwq-32B\", \"messages\": [{\"role\": \"user\", \"content\": \"Pick three random words with 3 syllables each and count the number of R'\\''s in each of them\"}] }'" ] }, { @@ -205,7 +202,7 @@ "id": "942e675c", "metadata": {}, "source": [ - "Example python:" + "Example Python:" ] }, { @@ -270,7 +267,7 @@ "\n", "## Deploy to production with Anyscale services\n", "\n", - "For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium size LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here.\n", + "For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here.\n", "\n", "---\n", "\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md index 503abeb49e94..3523ece616b3 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md @@ -8,7 +8,7 @@ Modify notebook.ipynb instead, then regenerate this file with: jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" --> -# Deploy a small size LLM +# Deploy a small-sized LLM A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy. @@ -42,7 +42,7 @@ llm_config = LLMConfig( max_replicas=2, ) ), - ### If your model isn't gated, you can skip `hf_token` + ### If your model isn't gated, you can skip `HF_TOKEN` # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3 # Type `export HF_TOKEN=` in a terminal runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), @@ -82,6 +82,7 @@ In a terminal, run: ```bash %%bash +export HF_TOKEN= serve run serve_llama_3_1_8b:app --non-blocking ``` @@ -93,7 +94,7 @@ Deployment typically takes a few minutes as the cluster is provisioned, the vLLM Your endpoint is available locally at `http://localhost:8000`. You can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. -**Example curl:** +Example curl: ```bash @@ -101,13 +102,10 @@ Your endpoint is available locally at `http://localhost:8000`. You can use a pla curl -X POST http://localhost:8000/v1/chat/completions \ -H "Authorization: Bearer FAKE_KEY" \ -H "Content-Type: application/json" \ - -d '{ \ - "model": "my-llama-3.1-8b", \ - "messages": [{"role": "user", "content": "What is 2 + 2?"}] \ - }' + -d '{ "model": "my-llama-3.1-8b", "messages": [{"role": "user", "content": "What is 2 + 2?"}] }' ``` -**Example Python:** +Example Python: ```python @@ -163,7 +161,7 @@ Create your Anyscale Service configuration in a new `service.yaml` file: ```yaml # service.yaml name: deploy-llama-3-8b -image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true working_dir: . @@ -312,4 +310,4 @@ See this [Troubleshooting Guide](https://docs.anyscale.com/overview) for common ## Summary -In this tutorial, you deployed a small size LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues. +In this tutorial, you deployed a small-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb index 09dfb2206b82..f4cd9ec72d34 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb @@ -5,7 +5,7 @@ "id": "6a51548b", "metadata": {}, "source": [ - "# Deploy a small size LLM\n", + "# Deploy a small-sized LLM\n", "\n", "A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy.\n", "\n", @@ -45,7 +45,7 @@ " max_replicas=2,\n", " )\n", " ),\n", - " ### If your model isn't gated, you can skip `hf_token`\n", + " ### If your model isn't gated, you can skip `HF_TOKEN`\n", " # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3\n", " # Type `export HF_TOKEN=` in a terminal\n", " runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", @@ -95,6 +95,7 @@ "outputs": [], "source": [ "%%bash\n", + "export HF_TOKEN=\n", "serve run serve_llama_3_1_8b:app --non-blocking" ] }, @@ -111,7 +112,7 @@ "\n", "Your endpoint is available locally at `http://localhost:8000`. You can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", "\n", - "**Example curl:**" + "Example curl:" ] }, { @@ -125,10 +126,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", " -H \"Content-Type: application/json\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-llama-3.1-8b\", \\\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] \\\n", - " }'" + " -d '{ \"model\": \"my-llama-3.1-8b\", \"messages\": [{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}] }'" ] }, { @@ -136,7 +134,7 @@ "id": "d623a30f", "metadata": {}, "source": [ - "**Example Python:**" + "Example Python:" ] }, { @@ -214,7 +212,7 @@ "```yaml\n", "# service.yaml\n", "name: deploy-llama-3-8b\n", - "image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image\n", + "image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile.\n", "compute_config:\n", " auto_select_worker_config: true \n", "working_dir: .\n", @@ -387,7 +385,7 @@ "\n", "## Summary\n", "\n", - "In this tutorial, you deployed a small size LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues." + "In this tutorial, you deployed a small-sized LLM with Ray Serve LLM, from development to production. You learned how to configure Ray Serve LLM, deploy your service on your Ray cluster, and how to send requests. You also learned how to monitor your app and common troubleshooting issues." ] } ], diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py index c5ed01f7b304..861a4f7aae7b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/serve_llama_3_1_8b.py @@ -15,7 +15,7 @@ max_replicas=2, ) ), - ### If your model isn't gated, you can skip `hf_token` + ### If your model isn't gated, you can skip `HF_TOKEN` # Share your Hugging Face token with the vllm engine so it can access the gated Llama 3 # Type `export HF_TOKEN=` in a terminal runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml index 98d3ed37539b..4c12e613c0d0 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/service.yaml @@ -1,10 +1,10 @@ -#service.yaml +# service.yaml name: deploy-llama-3-8b -containerfile: ./Dockerfile +image_uri: anyscale/ray-llm:2.49.0-py311-cu128 # Anyscale Ray Serve LLM image. Use `containerfile: ./Dockerfile` to use a custom Dockerfile. compute_config: auto_select_worker_config: true working_dir: . cloud: applications: -# Point to your app in your Python module -- import_path: serve_llama_3_1_8b:app \ No newline at end of file + # Point to your app in your Python module + - import_path: serve_llama_3_1_8b:app \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md index 050f7e32904b..352153951931 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md @@ -58,7 +58,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) **Prerequisites** * Access to GPU compute. -* (Optional) A **Hugging Face token** if using gated models like Meta’s Llama. Store it in `export HF_TOKEN=` +* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=` **Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks. @@ -89,7 +89,7 @@ Deployment typically takes a few minutes as the cluster is provisioned, the vLLM Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `"FAKE_KEY"`. -Example cURL with image URL +Example curl with image URL: ```bash @@ -97,20 +97,7 @@ Example cURL with image URL curl -X POST http://localhost:8000/v1/chat/completions \ -H "Authorization: Bearer FAKE_KEY" \ -H "Content-Type: application/json" \ - -d '{ \ - "model": "my-qwen-VL", \ - "messages": [ \ - { \ - "role": "user", \ - "content": [ \ - {"type": "text", "text": "What do you see in this image?"}, \ - {"type": "image_url", "image_url": { \ - "url": "http://images.cocodataset.org/val2017/000000039769.jpg" \ - }} \ - ] \ - } \ - ] \ - }' + -d '{ "model": "my-qwen-VL", "messages": [ { "role": "user", "content": [ {"type": "text", "text": "What do you see in this image?"}, {"type": "image_url", "image_url": { "url": "http://images.cocodataset.org/val2017/000000039769.jpg" }} ] } ] }' ``` Example Python with image URL: diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py index 14cfcb2c9f0a..200d46c49ab9 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py @@ -10,7 +10,7 @@ ### From an image locally saved as `example.jpg` # Load and encode image as base64 -with open("example.jpg", "rb") as f: +with open("vision-llm/example.jpg", "rb") as f: img_base64 = base64.b64encode(f.read()).decode() response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/example.jpg 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z4|zyD?(awNBlgTiF&FW-V;@i}9@j(IZK}qOj$30eOHBD6a<6LVA(MWSbfWvTt<0H} zYe-SQ*@0ByC*wT`e*vLBJ|g!7lqaQO`-XWLQ3U?WQBMI|CI=r0ug!$2Pu8u2(Cv+vM%|zyU}z71V;o5e`26TF2NOWQw_ZX`\n", + "* (Optional) A **Hugging Face token** if using gated models. Store it in `export HF_TOKEN=`\n", "\n", "**Note:** Depending on the organization, you can usually request access on the model's Hugging Face page. For example, Meta’s Llama models approval can take anywhere from a few hours to several weeks.\n", "\n", @@ -107,7 +107,7 @@ "\n", "Your endpoint is available locally at `http://localhost:8000` and you can use a placeholder authentication token for the OpenAI client, for example `\"FAKE_KEY\"`.\n", "\n", - "Example cURL with image URL" + "Example curl with image URL:" ] }, { @@ -121,20 +121,7 @@ "curl -X POST http://localhost:8000/v1/chat/completions \\\n", " -H \"Authorization: Bearer FAKE_KEY\" \\\n", " -H \"Content-Type: application/json\" \\\n", - " -d '{ \\\n", - " \"model\": \"my-qwen-VL\", \\\n", - " \"messages\": [ \\\n", - " { \\\n", - " \"role\": \"user\", \\\n", - " \"content\": [ \\\n", - " {\"type\": \"text\", \"text\": \"What do you see in this image?\"}, \\\n", - " {\"type\": \"image_url\", \"image_url\": { \\\n", - " \"url\": \"http://images.cocodataset.org/val2017/000000039769.jpg\" \\\n", - " }} \\\n", - " ] \\\n", - " } \\\n", - " ] \\\n", - " }'" + " -d '{ \"model\": \"my-qwen-VL\", \"messages\": [ { \"role\": \"user\", \"content\": [ {\"type\": \"text\", \"text\": \"What do you see in this image?\"}, {\"type\": \"image_url\", \"image_url\": { \"url\": \"http://images.cocodataset.org/val2017/000000039769.jpg\" }} ] } ] }'" ] }, { From 1102400632b61917dff0353a13121b0fd8691e2d Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 9 Sep 2025 01:34:13 +0800 Subject: [PATCH 1085/1566] [CORE][DOC] Fix grammar, typos, and formatting issues in Ray Core documentation (#56277) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR addresses various documentation issues found during a comprehensive manual review of Ray Core documentation files in the `fault_tolerance`, `internals`, and `objects` directories. ## Issues Fixed **Grammar and Language Errors:** - Fixed "Sometime" → "Sometimes" in actor fault tolerance documentation - Added missing "to be" in serialization description: "will need to serialized" → "will need to be serialized" - Fixed grammar in tip section: "by using Actors hold objects" → "by using Actors to hold objects" - Added missing word "request" in task lifecycle workflow description **Formatting and Consistency:** - Standardized error name formatting from single backticks to double backticks for consistency with RestructuredText conventions - Fixed spacing issues: "logs-for example" → "logs--for example" - Added missing space after comma in default value formatting **Files Updated:** - `doc/source/ray-core/fault_tolerance/actors.rst` - `doc/source/ray-core/fault_tolerance/nodes.rst` - `doc/source/ray-core/fault_tolerance/objects.rst` - `doc/source/ray-core/internals/task-lifecycle.rst` - `doc/source/ray-core/objects/object-spilling.rst` - `doc/source/ray-core/objects/serialization.rst` All changes are minimal corrections focused on improving readability and consistency without altering the technical content or meaning of the documentation. --------- Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: Edward Oakes Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/fault_tolerance/actors.rst | 4 ++-- doc/source/ray-core/fault_tolerance/nodes.rst | 2 +- doc/source/ray-core/fault_tolerance/objects.rst | 4 ++-- doc/source/ray-core/internals/task-lifecycle.rst | 2 +- doc/source/ray-core/objects/object-spilling.rst | 2 +- doc/source/ray-core/objects/serialization.rst | 4 ++-- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/doc/source/ray-core/fault_tolerance/actors.rst b/doc/source/ray-core/fault_tolerance/actors.rst index 6f46a6d67412..9dcbc6029a3b 100644 --- a/doc/source/ray-core/fault_tolerance/actors.rst +++ b/doc/source/ray-core/fault_tolerance/actors.rst @@ -163,7 +163,7 @@ If a task has ``max_task_retries > 0`` and it received ``ActorUnavailableError`` Actor method exceptions ----------------------- -Sometime you want to retry when an actor method raises exceptions. Use ``max_task_retries`` with ``retry_exceptions`` to retry. +Sometimes you want to retry when an actor method raises exceptions. Use ``max_task_retries`` with ``retry_exceptions`` to enable this. Note that by default, retrying on user raised exceptions is disabled. To enable it, make sure the method is **idempotent**, that is, invoking it multiple times should be equivalent to invoking it only once. @@ -180,6 +180,6 @@ Retry behavior depends on the value you set ``retry_exceptions`` to: - The method definition's value, for example, `@ray.method(max_task_retries=2)`. Ray ignores this value if you don't set it. - The actor creation call's value, for example, `Actor.options(max_task_retries=2)`. Ray ignores this value if you didn't set it. - The Actor class definition's value, for example, `@ray.remote(max_task_retries=2)` decorator. Ray ignores this value if you didn't set it. -- The default value,`0`. +- The default value, `0`. For example, if a method sets `max_task_retries=5` and `retry_exceptions=True`, and the actor sets `max_restarts=2`, Ray executes the method up to 6 times: once for the initial invocation, and 5 additional retries. The 6 invocations may include 2 actor crashes. After the 6th invocation, a `ray.get` call to the result Ray ObjectRef raises the exception raised in the last invocation, or `ray.exceptions.RayActorError` if the actor crashed in the last invocation. diff --git a/doc/source/ray-core/fault_tolerance/nodes.rst b/doc/source/ray-core/fault_tolerance/nodes.rst index 41d8959e3ae7..e106a962797a 100644 --- a/doc/source/ray-core/fault_tolerance/nodes.rst +++ b/doc/source/ray-core/fault_tolerance/nodes.rst @@ -24,6 +24,6 @@ so that when we start a new head node we still have all the cluster-level data. Raylet failure -------------- -When a raylet process fails, the corresponding node will be marked as dead and is treated the same as node failure. +When a raylet process fails, the corresponding node will be marked as dead and is treated the same as a node failure. Each raylet is associated with a unique id, so even if the raylet restarts on the same physical machine, it'll be treated as a new raylet/node to the Ray cluster. diff --git a/doc/source/ray-core/fault_tolerance/objects.rst b/doc/source/ray-core/fault_tolerance/objects.rst index 4c2987d8efd2..b363baebe9af 100644 --- a/doc/source/ray-core/fault_tolerance/objects.rst +++ b/doc/source/ray-core/fault_tolerance/objects.rst @@ -73,8 +73,8 @@ will clean up any remaining copies of the object's value to prevent a memory leak. Any workers that subsequently try to get the object's value will receive an ``OwnerDiedError`` exception, which can be handled manually. -Understanding `ObjectLostErrors` --------------------------------- +Understanding ``ObjectLostErrors`` +---------------------------------- Ray throws an ``ObjectLostError`` to the application when an object cannot be retrieved due to application or system error. This can occur during a diff --git a/doc/source/ray-core/internals/task-lifecycle.rst b/doc/source/ray-core/internals/task-lifecycle.rst index a3d47d9f7017..7c0393f09891 100644 --- a/doc/source/ray-core/internals/task-lifecycle.rst +++ b/doc/source/ray-core/internals/task-lifecycle.rst @@ -59,7 +59,7 @@ Once the task is submitted to ``NormalTaskSubmitter``, a worker process on some 2. Once all the arguments are available, ``NormalTaskSubmitter`` will try to find an idle worker to execute the task. ``NormalTaskSubmitter`` gets workers for task execution from raylet via a process called worker lease and this is where scheduling happens. Specifically, it will `send `__ a ``RequestWorkerLease`` RPC to a `selected `__ (it's either the local raylet or a data-locality-favored raylet) raylet for a worker lease. 3. Raylet `handles `__ the ``RequestWorkerLease`` RPC. -4. When the ``RequestWorkerLease`` RPC returns and a leased worker address is included in the response, a worker lease is granted to the caller to execute the task. If the ``RequestWorkerLease`` response contains another raylet address instead, ``NormalTaskSubmitter`` will then worker lease from the specified raylet. This process continues until a worker lease is obtained. +4. When the ``RequestWorkerLease`` RPC returns with a leased worker address in the response, a worker lease is granted to the caller to execute the task. If the ``RequestWorkerLease`` response contains another raylet address instead, ``NormalTaskSubmitter`` will then request a worker lease from the specified raylet. This process continues until a worker lease is obtained. Executing a task ---------------- diff --git a/doc/source/ray-core/objects/object-spilling.rst b/doc/source/ray-core/objects/object-spilling.rst index 1875a3229453..8f0ff5c7c857 100644 --- a/doc/source/ray-core/objects/object-spilling.rst +++ b/doc/source/ray-core/objects/object-spilling.rst @@ -31,7 +31,7 @@ For advanced usage and customizations, reach out to the `Ray team `_ to efficiently transfer objects across different processes and different nodes. Numpy arrays in the object store are shared between workers on the same node (zero-copy deserialization). +Since Ray processes do not share memory space, data transferred between workers and nodes will need to be **serialized** and **deserialized**. Ray uses the `Plasma object store `_ to efficiently transfer objects across different processes and different nodes. Numpy arrays in the object store are shared between workers on the same node (zero-copy deserialization). Overview -------- @@ -48,7 +48,7 @@ Numpy Arrays Ray optimizes for numpy arrays by using Pickle protocol 5 with out-of-band data. The numpy array is stored as a read-only object, and all Ray workers on the same node can read the numpy array in the object store without copying (zero-copy reads). Each numpy array object in the worker process holds a pointer to the relevant array held in shared memory. Any writes to the read-only object will require the user to first copy it into the local process memory. -.. tip:: You can often avoid serialization issues by using only native types (e.g., numpy arrays or lists/dicts of numpy arrays and other primitive types), or by using Actors hold objects that cannot be serialized. +.. tip:: You can often avoid serialization issues by using only native types (e.g., numpy arrays or lists/dicts of numpy arrays and other primitive types), or by using Actors to hold objects that cannot be serialized. Fixing "assignment destination is read-only" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From 91d1dd99f182e6dbb2ed6829cd5de20341910043 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 8 Sep 2025 10:37:08 -0700 Subject: [PATCH 1086/1566] [core][event/04] node event: add proto schema (#56031) Add proto schema for node events. This contains all the field and not more from the existing https://github.com/ray-project/ray/blob/master/src/ray/protobuf/export_node_data.proto. It splits by the static vs dynamic state transition information, similar to other one event schema designs. The dynamic state transition information (captured by `StateTransition` in this PRs) is a vector of timestamp and State. It also includes metadata associated with the transition, such as the resource maps (which can change during a, future, to-be-added Resize state) and DeathInfo (which is set only when the node is dead). Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/protobuf/public/BUILD.bazel | 25 +++++++++ .../protobuf/public/events_base_event.proto | 6 ++ .../public/events_node_definition_event.proto | 27 +++++++++ .../public/events_node_lifecycle_event.proto | 56 +++++++++++++++++++ 4 files changed, 114 insertions(+) create mode 100644 src/ray/protobuf/public/events_node_definition_event.proto create mode 100644 src/ray/protobuf/public/events_node_lifecycle_event.proto diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 03a9f4b1c5f4..55f0364bb421 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -10,6 +10,8 @@ proto_library( ":events_actor_task_definition_event_proto", ":events_driver_job_definition_event_proto", ":events_driver_job_execution_event_proto", + ":events_node_definition_event_proto", + ":events_node_lifecycle_event_proto", ":events_task_definition_event_proto", ":events_task_execution_event_proto", "//src/ray/protobuf:events_task_profile_events_proto", @@ -92,6 +94,29 @@ cc_proto_library( deps = [":events_driver_job_execution_event_proto"], ) +proto_library( + name = "events_node_definition_event_proto", + srcs = ["events_node_definition_event.proto"], +) + +cc_proto_library( + name = "events_node_definition_event_cc_proto", + deps = [":events_node_definition_event_proto"], +) + +proto_library( + name = "events_node_lifecycle_event_proto", + srcs = ["events_node_lifecycle_event.proto"], + deps = [ + "@com_google_protobuf//:timestamp_proto", + ], +) + +cc_proto_library( + name = "events_node_lifecycle_event_cc_proto", + deps = [":events_node_lifecycle_event_proto"], +) + proto_library( name = "runtime_environment_proto", srcs = ["runtime_environment.proto"], diff --git a/src/ray/protobuf/public/events_base_event.proto b/src/ray/protobuf/public/events_base_event.proto index 859e498d3a10..af668a75c8a0 100644 --- a/src/ray/protobuf/public/events_base_event.proto +++ b/src/ray/protobuf/public/events_base_event.proto @@ -23,6 +23,8 @@ import "src/ray/protobuf/public/events_task_definition_event.proto"; import "src/ray/protobuf/public/events_task_execution_event.proto"; import "src/ray/protobuf/public/events_driver_job_definition_event.proto"; import "src/ray/protobuf/public/events_driver_job_execution_event.proto"; +import "src/ray/protobuf/public/events_node_definition_event.proto"; +import "src/ray/protobuf/public/events_node_lifecycle_event.proto"; // This is the base message for all ray events. message RayEvent { @@ -50,6 +52,8 @@ message RayEvent { TASK_PROFILE_EVENT = 4; DRIVER_JOB_DEFINITION_EVENT = 5; DRIVER_JOB_EXECUTION_EVENT = 6; + NODE_DEFINITION_EVENT = 7; + NODE_LIFECYCLE_EVENT = 8; } // The severities of events that can be generated. @@ -91,4 +95,6 @@ message RayEvent { TaskProfileEvents task_profile_events = 11; DriverJobDefinitionEvent driver_job_definition_event = 12; DriverJobExecutionEvent driver_job_execution_event = 13; + NodeDefinitionEvent node_definition_event = 14; + NodeLifecycleEvent node_lifecycle_event = 15; } diff --git a/src/ray/protobuf/public/events_node_definition_event.proto b/src/ray/protobuf/public/events_node_definition_event.proto new file mode 100644 index 000000000000..3d41a5ab27ed --- /dev/null +++ b/src/ray/protobuf/public/events_node_definition_event.proto @@ -0,0 +1,27 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc; + +// Message containing the definition of a node, as observed via GCS. +// The message is expected to be emitted once per node creation. +// +// For runtime information associated with this event, see NodeLifecycleEvent. +message NodeDefinitionEvent { + bytes node_id = 1; + string node_ip_address = 2; + map labels = 3; +} diff --git a/src/ray/protobuf/public/events_node_lifecycle_event.proto b/src/ray/protobuf/public/events_node_lifecycle_event.proto new file mode 100644 index 000000000000..cd72ea6b5a97 --- /dev/null +++ b/src/ray/protobuf/public/events_node_lifecycle_event.proto @@ -0,0 +1,56 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +import "google/protobuf/timestamp.proto"; + +package ray.rpc; + +// Message containing the lifecycle information of a node, as observed via GCS. +// It can be used to capture the full state transition history. +// +// For static information associated with this event, see NodeDefinitionEvent. +message NodeLifecycleEvent { + enum State { + ALIVE = 0; + DEAD = 1; + } + + message DeathInfo { + enum Reason { + UNSPECIFIED = 0; + EXPECTED_TERMINATION = 1; + UNEXPECTED_TERMINATION = 2; + AUTOSCALER_DRAIN_PREEMPTED = 3; + AUTOSCALER_DRAIN_IDLE = 4; + } + Reason reason = 1; + string reason_message = 2; + } + + message StateTransition { + State state = 1; + google.protobuf.Timestamp timestamp = 2; + map resources = 3; // Resources (cpu, gpu, etc.) and their counts, + // available only in the ALIVE state. + DeathInfo death_info = 4; // Available only in the DEAD state + } + + bytes node_id = 1; + // This records the state transitions within each export interval. The consumer should + // concatenate these intervals over the node’s lifetime to reconstruct the complete + // state transition time series. + repeated StateTransition state_transitions = 2; +} From 5e72803efafe69e5c131e84a4b0c39f295f5dce0 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 8 Sep 2025 10:37:18 -0700 Subject: [PATCH 1087/1566] [core][metric] Redefine STATS_tasks using Metric interface (#56015) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Currently, we have two metric definition systems: the legacy STATS_ macros and the newer Metric/Gauge/etc. API. We only need one. This PR redefines STATS_tasks using the Metric interface. Over time, I’ll migrate all STATS_ metrics to the new system and eventually remove the old one. In this new design: - The tasks metric is defined at the `raylet/main.cc` and `core_worker_process.cc` top level. - It is passed down to sub-components through the MetricInterface. - Sub-component test cases use the newly added `MockMetricInterface` implementation. Pure refactoring, no functional changes. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 9 +++ src/ray/core_worker/core_worker.cc | 57 ++++++++------- src/ray/core_worker/core_worker.h | 13 +++- src/ray/core_worker/core_worker_process.cc | 6 +- src/ray/core_worker/core_worker_process.h | 3 + src/ray/core_worker/metrics.h | 45 ++++++++++++ src/ray/core_worker/task_manager.h | 27 +++++-- src/ray/core_worker/tests/BUILD.bazel | 2 + src/ray/core_worker/tests/core_worker_test.cc | 24 ++++++- .../core_worker/tests/task_manager_test.cc | 27 +++++-- src/ray/observability/BUILD.bazel | 10 +++ src/ray/observability/fake_metric.h | 70 +++++++++++++++++++ src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/lease_dependency_manager.h | 47 ++++++++----- src/ray/raylet/main.cc | 6 +- src/ray/raylet/tests/BUILD.bazel | 3 + .../tests/lease_dependency_manager_test.cc | 18 ++++- .../raylet/tests/local_lease_manager_test.cc | 5 +- src/ray/raylet/tests/node_manager_test.cc | 7 +- src/ray/stats/metric_defs.cc | 18 ----- src/ray/stats/metric_defs.h | 3 - 21 files changed, 314 insertions(+), 87 deletions(-) create mode 100644 src/ray/core_worker/metrics.h create mode 100644 src/ray/observability/fake_metric.h diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 10c55d1d387a..6cb8cff9b7f4 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -28,6 +28,7 @@ ray_cc_library( ":generator_waiter", ":grpc_service", ":memory_store", + ":metrics", ":object_recovery_manager", ":plasma_store_provider", ":profile_event", @@ -395,3 +396,11 @@ ray_cc_library( "@com_google_absl//absl/container:flat_hash_set", ], ) + +ray_cc_library( + name = "metrics", + hdrs = ["metrics.h"], + deps = [ + "//src/ray/stats:stats_lib", + ], +) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 147e0fa58627..433baa6a0184 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -54,6 +54,8 @@ using MessageType = ray::protocol::MessageType; namespace ray::core { +using std::literals::operator""sv; + namespace { // Default capacity for serialization caches. constexpr size_t kDefaultSerializationCacheCap = 500; @@ -166,7 +168,8 @@ JobID GetProcessJobID(const CoreWorkerOptions &options) { return options.job_id; } -TaskCounter::TaskCounter() { +TaskCounter::TaskCounter(ray::observability::MetricInterface &task_by_state_counter) + : task_by_state_counter_(task_by_state_counter) { counter_.SetOnChangeCallback( [this](const std::tuple &key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(&mu_) mutable { @@ -181,37 +184,37 @@ TaskCounter::TaskCounter() { const auto is_retry_label = is_retry ? "1" : "0"; // RUNNING_IN_RAY_GET/WAIT are sub-states of RUNNING, so we need to subtract // them out to avoid double-counting. - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( running_total - num_in_get - num_in_wait, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING)}, - {"Name", func_name}, - {"IsRetry", is_retry_label}, - {"JobId", job_id_}, - {"Source", "executor"}}); + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING)}, + {"Name"sv, func_name}, + {"IsRetry"sv, is_retry_label}, + {"JobId"sv, job_id_}, + {"Source"sv, "executor"}}); // Negate the metrics recorded from the submitter process for these tasks. - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( -running_total, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::SUBMITTED_TO_WORKER)}, - {"Name", func_name}, - {"IsRetry", is_retry_label}, - {"JobId", job_id_}, - {"Source", "executor"}}); + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::SUBMITTED_TO_WORKER)}, + {"Name"sv, func_name}, + {"IsRetry"sv, is_retry_label}, + {"JobId"sv, job_id_}, + {"Source"sv, "executor"}}); // Record sub-state for get. - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( num_in_get, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING_IN_RAY_GET)}, - {"Name", func_name}, - {"IsRetry", is_retry_label}, - {"JobId", job_id_}, - {"Source", "executor"}}); + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING_IN_RAY_GET)}, + {"Name"sv, func_name}, + {"IsRetry"sv, is_retry_label}, + {"JobId"sv, job_id_}, + {"Source"sv, "executor"}}); // Record sub-state for wait. - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( num_in_wait, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING_IN_RAY_WAIT)}, - {"Name", func_name}, - {"IsRetry", is_retry_label}, - {"JobId", job_id_}, - {"Source", "executor"}}); + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::RUNNING_IN_RAY_WAIT)}, + {"Name"sv, func_name}, + {"IsRetry"sv, is_retry_label}, + {"JobId"sv, job_id_}, + {"Source"sv, "executor"}}); }); } @@ -318,7 +321,8 @@ CoreWorker::CoreWorker( std::unique_ptr actor_manager, instrumented_io_context &task_execution_service, std::unique_ptr task_event_buffer, - uint32_t pid) + uint32_t pid, + ray::observability::MetricInterface &task_by_state_counter) : options_(std::move(options)), get_call_site_(RayConfig::instance().record_ref_creation_sites() ? options_.get_lang_stack @@ -357,6 +361,7 @@ CoreWorker::CoreWorker( task_execution_service_(task_execution_service), exiting_detail_(std::nullopt), max_direct_call_object_size_(RayConfig::instance().max_direct_call_object_size()), + task_counter_(task_by_state_counter), task_event_buffer_(std::move(task_event_buffer)), pid_(pid), actor_shutdown_callback_(std::move(options_.actor_shutdown_callback)), diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index ec5af5e24fa2..f1de5e739d7d 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -69,7 +69,7 @@ class TaskCounter { enum class TaskStatusType { kPending, kRunning, kFinished }; public: - TaskCounter(); + explicit TaskCounter(ray::observability::MetricInterface &task_by_state_counter); void BecomeActor(const std::string &actor_name) { absl::MutexLock l(&mu_); @@ -127,6 +127,14 @@ class TaskCounter { // Used for actor state tracking. std::string actor_name_ ABSL_GUARDED_BY(mu_); int64_t num_tasks_running_ ABSL_GUARDED_BY(mu_) = 0; + + // Metric to track the number of tasks by state. + // Expected tags: + // - State: the task state, as described by rpc::TaskState proto in common.proto + // - Name: the name of the function called + // - IsRetry: whether the task is a retry + // - Source: component reporting, e.g., "core_worker", "executor", or "pull_manager" + ray::observability::MetricInterface &task_by_state_counter_; }; struct TaskToRetry { @@ -190,7 +198,8 @@ class CoreWorker { std::unique_ptr actor_manager, instrumented_io_context &task_execution_service, std::unique_ptr task_event_buffer, - uint32_t pid); + uint32_t pid, + ray::observability::MetricInterface &task_by_state_counter); CoreWorker(CoreWorker const &) = delete; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 1c8d06f0f117..54db5f6fece9 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -456,7 +456,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; return core_worker->core_worker_client_pool_->GetOrConnect(addr.value()); }, - gcs_client); + gcs_client, + task_by_state_counter_); auto on_excess_queueing = [this](const ActorID &actor_id, uint64_t num_queued) { auto timestamp = std::chrono::duration_cast( @@ -660,7 +661,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( std::move(actor_manager), task_execution_service_, std::move(task_event_buffer), - pid); + pid, + task_by_state_counter_); return core_worker; } diff --git a/src/ray/core_worker/core_worker_process.h b/src/ray/core_worker/core_worker_process.h index dd8536e3963b..9081360c02ed 100644 --- a/src/ray/core_worker/core_worker_process.h +++ b/src/ray/core_worker/core_worker_process.h @@ -20,6 +20,7 @@ #include "ray/core_worker/core_worker_options.h" #include "ray/core_worker/grpc_service.h" +#include "ray/core_worker/metrics.h" #include "ray/rpc/metrics_agent_client.h" #include "ray/util/mutex_protected.h" @@ -182,6 +183,8 @@ class CoreWorkerProcessImpl { /// The client to export metrics to the metrics agent. std::unique_ptr metrics_agent_client_; + + ray::stats::Gauge task_by_state_counter_{GetTaskMetric()}; }; } // namespace core } // namespace ray diff --git a/src/ray/core_worker/metrics.h b/src/ray/core_worker/metrics.h new file mode 100644 index 000000000000..e4a8b207ba25 --- /dev/null +++ b/src/ray/core_worker/metrics.h @@ -0,0 +1,45 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/stats/metric.h" + +namespace ray { +namespace core { + +inline ray::stats::Gauge GetTaskMetric() { + /// Tracks tasks by state, including pending, running, and finished tasks. + /// This metric may be recorded from multiple components processing the task in Ray, + /// including the submitting core worker, executor core worker, and pull manager. + /// + /// To avoid metric collection conflicts between components reporting on the same task, + /// we use the "Source" required label. + return ray::stats::Gauge{ + /*name=*/"tasks", + /*description=*/"Current number of tasks currently in a particular state.", + /*unit=*/"", + // Expected tags: + // - State: the task state, as described by rpc::TaskState proto in common.proto + // - Name: the name of the function called (Keep this tag name in sync with the + // TASK_OR_ACTOR_NAME_TAG_KEY in + // python/ray/_private/telemetry/metric_cardinality.py) + // - IsRetry: whether the task is a retry + // - Source: component reporting, e.g., "core_worker", "executor", or "pull_manager" + /*tag_keys=*/{"State", "Name", "Source", "IsRetry", "JobId"}, + }; +} + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 4b1c32e1e873..f4d85337a0d1 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -31,6 +31,7 @@ #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_manager_interface.h" #include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/observability/metric_interface.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/common.pb.h" @@ -40,6 +41,8 @@ namespace ray { namespace core { +using std::literals::operator""sv; + class ActorManager; using TaskStatusCounter = CounterMap>; @@ -182,7 +185,8 @@ class TaskManager : public TaskManagerInterface { worker::TaskEventBuffer &task_event_buffer, std::function(const ActorID &)> client_factory, - std::shared_ptr gcs_client) + std::shared_ptr gcs_client, + ray::observability::MetricInterface &task_by_state_counter) : in_memory_store_(in_memory_store), reference_counter_(reference_counter), put_in_local_plasma_callback_(std::move(put_in_local_plasma_callback)), @@ -192,16 +196,17 @@ class TaskManager : public TaskManagerInterface { max_lineage_bytes_(max_lineage_bytes), task_event_buffer_(task_event_buffer), get_actor_rpc_client_callback_(std::move(client_factory)), - gcs_client_(std::move(gcs_client)) { + gcs_client_(std::move(gcs_client)), + task_by_state_counter_(task_by_state_counter) { task_counter_.SetOnChangeCallback( [this](const std::tuple &key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(&mu_) { - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( task_counter_.Get(key), - {{"State", rpc::TaskStatus_Name(std::get<1>(key))}, - {"Name", std::get<0>(key)}, - {"IsRetry", std::get<2>(key) ? "1" : "0"}, - {"Source", "owner"}}); + {{"State"sv, rpc::TaskStatus_Name(std::get<1>(key))}, + {"Name"sv, std::get<0>(key)}, + {"IsRetry"sv, std::get<2>(key) ? "1" : "0"}, + {"Source"sv, "owner"}}); }); reference_counter_.SetReleaseLineageCallback( [this](const ObjectID &object_id, std::vector *ids_to_release) { @@ -797,6 +802,14 @@ class TaskManager : public TaskManagerInterface { std::shared_ptr gcs_client_; + // Metric to track the number of tasks by state. + // Expected tags: + // - State: the task state, as described by rpc::TaskState proto in common.proto + // - Name: the name of the function called + // - IsRetry: whether the task is a retry + // - Source: component reporting, e.g., "core_worker", "executor", or "pull_manager" + observability::MetricInterface &task_by_state_counter_; + friend class TaskManagerTest; }; diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index ab453f5da2c5..6bd83a868c8b 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -98,6 +98,7 @@ ray_cc_test( "//src/ray/core_worker:task_event_buffer", "//src/ray/core_worker:task_manager", "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/observability:fake_metric", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -253,6 +254,7 @@ ray_cc_test( "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/ipc:fake_raylet_ipc_client", + "//src/ray/observability:fake_metric", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 635bbe4e19fa..76535e79b74b 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -41,6 +41,7 @@ #include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/ipc/fake_raylet_ipc_client.h" +#include "ray/observability/fake_metric.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { @@ -160,7 +161,8 @@ class CoreWorkerTest : public ::testing::Test { [](const ActorID &actor_id) { return std::make_shared(); }, - mock_gcs_client); + mock_gcs_client, + fake_task_by_state_counter_); auto object_recovery_manager = std::make_unique( rpc_address_, @@ -245,7 +247,8 @@ class CoreWorkerTest : public ::testing::Test { std::move(actor_manager), task_execution_service_, std::move(task_event_buffer), - getpid()); + getpid(), + fake_task_by_state_counter_); } protected: @@ -263,6 +266,7 @@ class CoreWorkerTest : public ::testing::Test { ActorTaskSubmitter *actor_task_submitter_; std::shared_ptr task_manager_; std::shared_ptr core_worker_; + ray::observability::FakeMetric fake_task_by_state_counter_; }; std::shared_ptr MakeRayObject(const std::string &data_str, @@ -278,6 +282,22 @@ std::shared_ptr MakeRayObject(const std::string &data_str, return std::make_shared(data, metadata, std::vector()); } +TEST_F(CoreWorkerTest, RecordMetrics) { + std::vector> results; + auto status = core_worker_->Get({}, -1, results); + ASSERT_TRUE(status.ok()); + // disconnect to trigger metric recording + core_worker_->Disconnect(rpc::WorkerExitType::SYSTEM_ERROR, "test", nullptr); + auto tag_to_value = fake_task_by_state_counter_.GetTagToValue(); + // 4 states: RUNNING, SUBMITTED_TO_WORKER, RUNNING_IN_RAY_GET and RUNNING_IN_RAY_WAIT + ASSERT_EQ(tag_to_value.size(), 4); + for (auto &[key, value] : tag_to_value) { + ASSERT_EQ(key.at("Name"), "Unknown task"); + ASSERT_EQ(key.at("Source"), "executor"); + ASSERT_EQ(key.at("IsRetry"), "0"); + } +} + TEST_F(CoreWorkerTest, HandleGetObjectStatusIdempotency) { auto object_id = ObjectID::FromRandom(); auto ray_object = MakeRayObject("test_data", "meta"); diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index 519a6020e9ef..d99915cbef1d 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -31,6 +31,7 @@ #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" +#include "ray/observability/fake_metric.h" namespace ray { namespace core { @@ -181,7 +182,8 @@ class TaskManagerTest : public ::testing::Test { -> std::shared_ptr { return nullptr; }, - mock_gcs_client_) {} + mock_gcs_client_, + fake_task_by_state_counter_) {} virtual void TearDown() { AssertNoLeaks(); } @@ -228,6 +230,7 @@ class TaskManagerTest : public ::testing::Test { uint32_t last_delay_ms_ = 0; bool last_object_recovery_ = false; std::unordered_set stored_in_plasma; + ray::observability::FakeMetric fake_task_by_state_counter_; }; class TaskManagerLineageTest : public TaskManagerTest { @@ -235,6 +238,19 @@ class TaskManagerLineageTest : public TaskManagerTest { TaskManagerLineageTest() : TaskManagerTest(true, /*max_lineage_bytes=*/10000) {} }; +TEST_F(TaskManagerTest, TestRecordMetrics) { + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + manager_.AddPendingTask(caller_address, spec, ""); + manager_.RecordMetrics(); + auto tag_to_value = fake_task_by_state_counter_.GetTagToValue(); + ASSERT_EQ(tag_to_value.size(), 1); // one task state data point + ASSERT_EQ(tag_to_value.begin()->first.at("State"), + rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_ARGS_AVAIL)); + ASSERT_EQ(tag_to_value.begin()->second, 1); // one task in the PENDING_ARGS_AVAIL state + manager_.FailPendingTask(spec.TaskId(), rpc::ErrorType::WORKER_DIED); +} + TEST_F(TaskManagerTest, TestTaskSuccess) { rpc::Address caller_address; ObjectID dep1 = ObjectID::FromRandom(); @@ -1396,7 +1412,8 @@ TEST_F(TaskManagerTest, PlasmaPut_ObjectStoreFull_FailsTaskAndWritesError) { [](const ActorID &) -> std::shared_ptr { return nullptr; }, - mock_gcs_client_); + mock_gcs_client_, + fake_task_by_state_counter_); rpc::Address caller_address; auto spec = CreateTaskHelper(1, {}); @@ -1459,7 +1476,8 @@ TEST_F(TaskManagerTest, PlasmaPut_TransientFull_RetriesThenSucceeds) { [](const ActorID &) -> std::shared_ptr { return nullptr; }, - mock_gcs_client_); + mock_gcs_client_, + fake_task_by_state_counter_); rpc::Address caller_address; auto spec = CreateTaskHelper(1, {}); @@ -1520,7 +1538,8 @@ TEST_F(TaskManagerTest, DynamicReturn_PlasmaPutFailure_FailsTaskImmediately) { [](const ActorID &) -> std::shared_ptr { return nullptr; }, - mock_gcs_client_); + mock_gcs_client_, + fake_task_by_state_counter_); auto spec = CreateTaskHelper(1, {}, /*dynamic_returns=*/true); dyn_mgr.AddPendingTask(addr_, spec, "", /*num_retries=*/0); diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index 623bd3ab6a53..ebdfb1aacaed 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -24,3 +24,13 @@ ray_cc_library( "@io_opencensus_cpp//opencensus/stats", ], ) + +ray_cc_library( + name = "fake_metric", + hdrs = [ + "fake_metric.h", + ], + deps = [ + ":metric_interface", + ], +) diff --git a/src/ray/observability/fake_metric.h b/src/ray/observability/fake_metric.h new file mode 100644 index 000000000000..8cafb45ded68 --- /dev/null +++ b/src/ray/observability/fake_metric.h @@ -0,0 +1,70 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/observability/metric_interface.h" + +namespace ray { +namespace observability { + +class FakeMetric : public MetricInterface { + public: + FakeMetric() = default; + ~FakeMetric() = default; + + void Record(double value) override { Record(value, stats::TagsType{}); } + + void Record(double value, stats::TagsType tags) override { + absl::flat_hash_map tags_map; + for (const auto &tag : tags) { + tags_map[tag.first.name()] = tag.second; + } + tag_to_value_.emplace(std::move(tags_map), value); + } + + void Record(double value, + const std::unordered_map &tags) override { + stats::TagsType tags_pair_vec; + tags_pair_vec.reserve(tags.size()); + std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { + return tags_pair_vec.emplace_back(stats::TagKeyType::Register(tag.first), + std::move(tag.second)); + }); + Record(value, std::move(tags_pair_vec)); + } + + void Record(double value, + const std::unordered_map &tags) override { + stats::TagsType tags_pair_vec; + tags_pair_vec.reserve(tags.size()); + std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { + return tags_pair_vec.emplace_back(stats::TagKeyType::Register(tag.first), + std::move(tag.second)); + }); + Record(value, std::move(tags_pair_vec)); + } + + const absl::flat_hash_map, double> + &GetTagToValue() const { + return tag_to_value_; + } + + private: + absl::flat_hash_map, double> + tag_to_value_; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 854a8d2478ee..f8b4b2637aeb 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -283,6 +283,7 @@ ray_cc_binary( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/common/cgroup:cgroup_manager", + "//src/ray/core_worker:metrics", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_lease_manager", diff --git a/src/ray/raylet/lease_dependency_manager.h b/src/ray/raylet/lease_dependency_manager.h index cb72ebd93405..358a3e3cad0c 100644 --- a/src/ray/raylet/lease_dependency_manager.h +++ b/src/ray/raylet/lease_dependency_manager.h @@ -30,6 +30,8 @@ namespace ray { namespace raylet { +using std::literals::operator""sv; + /// Used for unit-testing the ClusterLeaseManager, which requests dependencies /// for queued leases. class LeaseDependencyManagerInterface { @@ -55,8 +57,10 @@ class LeaseDependencyManagerInterface { class LeaseDependencyManager : public LeaseDependencyManagerInterface { public: /// Create a lease dependency manager. - explicit LeaseDependencyManager(ObjectManagerInterface &object_manager) - : object_manager_(object_manager) { + explicit LeaseDependencyManager( + ObjectManagerInterface &object_manager, + ray::observability::MetricInterface &task_by_state_counter) + : object_manager_(object_manager), task_by_state_counter_(task_by_state_counter) { waiting_leases_counter_.SetOnChangeCallback( [this](std::pair key) mutable { int64_t num_total = waiting_leases_counter_.Get(key); @@ -66,25 +70,26 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { int64_t num_inactive = std::min( num_total, object_manager_.PullManagerNumInactivePullsByTaskName(key)); // Offset the metric values recorded from the owner process. - ray::stats::STATS_tasks.Record( + task_by_state_counter_.Record( -num_total, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_NODE_ASSIGNMENT)}, - {"Name", key.first}, - {"IsRetry", key.second ? "1" : "0"}, - {"Source", "dependency_manager"}}); - ray::stats::STATS_tasks.Record( + {{"State"sv, + rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_NODE_ASSIGNMENT)}, + {"Name"sv, key.first}, + {"IsRetry"sv, key.second ? "1" : "0"}, + {"Source"sv, "dependency_manager"}}); + task_by_state_counter_.Record( num_total - num_inactive, - {{"State", rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_ARGS_FETCH)}, - {"Name", key.first}, - {"IsRetry", key.second ? "1" : "0"}, - {"Source", "dependency_manager"}}); - ray::stats::STATS_tasks.Record( + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_ARGS_FETCH)}, + {"Name"sv, key.first}, + {"IsRetry"sv, key.second ? "1" : "0"}, + {"Source"sv, "dependency_manager"}}); + task_by_state_counter_.Record( num_inactive, - {{"State", + {{"State"sv, rpc::TaskStatus_Name(rpc::TaskStatus::PENDING_OBJ_STORE_MEM_AVAIL)}, - {"Name", key.first}, - {"IsRetry", key.second ? "1" : "0"}, - {"Source", "dependency_manager"}}); + {"Name"sv, key.first}, + {"IsRetry"sv, key.second ? "1" : "0"}, + {"Source"sv, "dependency_manager"}}); }); } @@ -317,6 +322,14 @@ class LeaseDependencyManager : public LeaseDependencyManagerInterface { /// total will be less than or equal to the size of queued_lease_requests_. CounterMap waiting_leases_counter_; + // Metric to track the number of tasks by state. + // Expected tags: + // - State: the task state, as described by rpc::TaskState proto in common.proto + // - Name: the name of the function called + // - IsRetry: whether the task is a retry + // - Source: component reporting, e.g., "core_worker", "executor", or "pull_manager" + ray::observability::MetricInterface &task_by_state_counter_; + friend class LeaseDependencyManagerTest; }; diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index e96b52f195e9..9a433e473ebb 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -30,6 +30,7 @@ #include "ray/common/lease/lease.h" #include "ray/common/ray_config.h" #include "ray/common/status.h" +#include "ray/core_worker/metrics.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager.h" @@ -262,6 +263,7 @@ int main(int argc, char *argv[]) { RAY_CHECK_OK(gcs_client->Connect(main_service)); std::unique_ptr raylet; + ray::stats::Gauge task_by_state_counter = ray::core::GetTaskMetric(); std::unique_ptr plasma_client; std::unique_ptr node_manager; std::unique_ptr client_call_manager; @@ -680,8 +682,8 @@ int main(int argc, char *argv[]) { /*core_worker_subscriber_=*/core_worker_subscriber.get(), object_directory.get()); - lease_dependency_manager = - std::make_unique(*object_manager); + lease_dependency_manager = std::make_unique( + *object_manager, task_by_state_counter); cluster_resource_scheduler = std::make_unique( main_service, diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 25321d7d3fab..1577fce0758a 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -102,6 +102,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:lease", "//src/ray/common:test_utils", + "//src/ray/observability:fake_metric", "//src/ray/raylet:lease_dependency_manager", "@com_google_googletest//:gtest_main", ], @@ -119,6 +120,7 @@ ray_cc_test( "//src/ray/common:lease", "//src/ray/common:task_common", "//src/ray/common:test_utils", + "//src/ray/observability:fake_metric", "//src/ray/raylet:local_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", @@ -184,6 +186,7 @@ ray_cc_test( "//src/ray/common:ray_object", "//src/ray/common:task_common", "//src/ray/object_manager/plasma:plasma_client", + "//src/ray/observability:fake_metric", "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", "//src/ray/raylet/scheduling:cluster_lease_manager", diff --git a/src/ray/raylet/tests/lease_dependency_manager_test.cc b/src/ray/raylet/tests/lease_dependency_manager_test.cc index 906472c71d46..250032273c36 100644 --- a/src/ray/raylet/tests/lease_dependency_manager_test.cc +++ b/src/ray/raylet/tests/lease_dependency_manager_test.cc @@ -24,6 +24,7 @@ #include "gtest/gtest.h" #include "mock/ray/object_manager/object_manager.h" #include "ray/common/test_utils.h" +#include "ray/observability/fake_metric.h" namespace ray { @@ -69,7 +70,9 @@ class CustomMockObjectManager : public MockObjectManager { class LeaseDependencyManagerTest : public ::testing::Test { public: LeaseDependencyManagerTest() - : object_manager_mock_(), lease_dependency_manager_(object_manager_mock_) {} + : object_manager_mock_(), + fake_task_by_state_counter_(), + lease_dependency_manager_(object_manager_mock_, fake_task_by_state_counter_) {} int64_t NumWaiting(const std::string &lease_name) { return lease_dependency_manager_.waiting_leases_counter_.Get({lease_name, false}); @@ -92,9 +95,22 @@ class LeaseDependencyManagerTest : public ::testing::Test { } CustomMockObjectManager object_manager_mock_; + ray::observability::FakeMetric fake_task_by_state_counter_; LeaseDependencyManager lease_dependency_manager_; }; +TEST_F(LeaseDependencyManagerTest, TestRecordMetrics) { + auto obj_id = ObjectID::FromRandom(); + lease_dependency_manager_.RequestLeaseDependencies( + LeaseID::FromRandom(), ObjectIdsToRefs({obj_id}), {"foo", false}); + lease_dependency_manager_.HandleObjectLocal(obj_id); + lease_dependency_manager_.RecordMetrics(); + auto tag_to_value = fake_task_by_state_counter_.GetTagToValue(); + // 3 states: PENDING_NODE_ASSIGNMENT, PENDING_ARGS_FETCH, PENDING_OBJ_STORE_MEM_AVAIL + ASSERT_EQ(tag_to_value.size(), 3); + ASSERT_EQ(tag_to_value.begin()->first.at("Name"), "foo"); +} + /// Test requesting the dependencies for a lease. The dependency manager should /// return the lease ID as ready once all of its arguments are local. TEST_F(LeaseDependencyManagerTest, TestSimpleLease) { diff --git a/src/ray/raylet/tests/local_lease_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc index faae316bfba9..4830b029c9ce 100644 --- a/src/ray/raylet/tests/local_lease_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -31,6 +31,7 @@ #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" +#include "ray/observability/fake_metric.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/tests/util.h" @@ -316,7 +317,8 @@ class LocalLeaseManagerTest : public ::testing::Test { id_(NodeID::FromRandom()), scheduler_(CreateSingleNodeScheduler(id_.Binary(), num_cpus, *gcs_client_)), object_manager_(), - lease_dependency_manager_(object_manager_), + fake_task_by_state_counter_(), + lease_dependency_manager_(object_manager_, fake_task_by_state_counter_), local_lease_manager_(std::make_shared( id_, *scheduler_, @@ -373,6 +375,7 @@ class LocalLeaseManagerTest : public ::testing::Test { absl::flat_hash_map node_info_; MockObjectManager object_manager_; + ray::observability::FakeMetric fake_task_by_state_counter_; LeaseDependencyManager lease_dependency_manager_; std::shared_ptr local_lease_manager_; }; diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 5cda36052449..5dce1b2d3ec7 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -35,6 +35,7 @@ #include "ray/common/buffer.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/object_manager/plasma/client.h" +#include "ray/observability/fake_metric.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/tests/util.h" @@ -395,6 +396,7 @@ class NodeManagerTest : public ::testing::Test { core_worker_subscriber_ = std::make_unique(); mock_object_directory_ = std::make_unique(); mock_object_manager_ = std::make_unique(); + fake_task_by_state_counter_ = ray::observability::FakeMetric(); EXPECT_CALL(*mock_object_manager_, GetMemoryCapacity()).WillRepeatedly(Return(0)); @@ -418,8 +420,8 @@ class NodeManagerTest : public ::testing::Test { local_object_manager_ = std::make_unique(objects_pending_deletion_); - lease_dependency_manager_ = - std::make_unique(*mock_object_manager_); + lease_dependency_manager_ = std::make_unique( + *mock_object_manager_, fake_task_by_state_counter_); cluster_resource_scheduler_ = std::make_unique( io_service_, @@ -527,6 +529,7 @@ class NodeManagerTest : public ::testing::Test { MockWorkerPool mock_worker_pool_; absl::flat_hash_map> leased_workers_; std::shared_ptr> objects_pending_deletion_; + ray::observability::FakeMetric fake_task_by_state_counter_; }; TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index d3dc780a84de..b42d661eec64 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -37,24 +37,6 @@ namespace ray::stats { /// =========== PUBLIC METRICS; keep in sync with ray-metrics.rst ================= /// =============================================================================== -/// Tracks tasks by state, including pending, running, and finished tasks. -/// This metric may be recorded from multiple components processing the task in Ray, -/// including the submitting core worker, executor core worker, and pull manager. -/// -/// To avoid metric collection conflicts between components reporting on the same task, -/// we use the "Source" required label. -DEFINE_stats( - tasks, - "Current number of tasks currently in a particular state.", - // State: the task state, as described by rpc::TaskState proto in common.proto. - // Name: the name of the function called (Keep in sync with the - // TASK_OR_ACTOR_NAME_TAG_KEY in python/ray/_private/telemetry/metric_cardinality.py) - // Source: component reporting, e.g., "core_worker", "executor", or "pull_manager". - // IsRetry: whether this task is a retry. - ("State", "Name", "Source", "IsRetry", "JobId"), - (), - ray::stats::GAUGE); - /// Tracks actors by state, including pending, running, and idle actors. /// /// To avoid metric collection conflicts between components reporting on the same task, diff --git a/src/ray/stats/metric_defs.h b/src/ray/stats/metric_defs.h index dfe22aa345c4..8a78603f3968 100644 --- a/src/ray/stats/metric_defs.h +++ b/src/ray/stats/metric_defs.h @@ -42,9 +42,6 @@ namespace stats { /// ray_[component]_[metrics_name]_total (e.g., ray_pull_manager_total) /// -/// Tasks stats, broken down by state. -DECLARE_stats(tasks); - /// Actor stats, broken down by state. DECLARE_stats(actors); From d82c8daaf5fcb868c7d0a96685c287d55f083370 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Mon, 8 Sep 2025 10:40:04 -0700 Subject: [PATCH 1088/1566] [core] (cgroups 5/n) Adding clean up methods to CgroupDriverInterface and SysFsCgroupDriver (#56255) This PR stacks on #56246. For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR adds the DeleteCgroup method (along with unit and integration tests) to the CgroupDriverInterface and the SysFsCgroupDriver to allow CgroupManager to clean up the cgroup hierarchy is graceful shutdown. --------- Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../common/cgroup2/cgroup_driver_interface.h | 21 ++++- src/ray/common/cgroup2/cgroup_test_utils.cc | 17 +++- src/ray/common/cgroup2/fake_cgroup_driver.h | 10 +- .../sysfs_cgroup_driver_integration_test.cc | 94 +++++++++++++++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 45 +++++++-- src/ray/common/cgroup2/sysfs_cgroup_driver.h | 19 ++++ .../cgroup2/tests/sysfs_cgroup_driver_test.cc | 17 ++++ 7 files changed, 206 insertions(+), 17 deletions(-) diff --git a/src/ray/common/cgroup2/cgroup_driver_interface.h b/src/ray/common/cgroup2/cgroup_driver_interface.h index 62e9f47f7b9a..01f61c68e0e7 100644 --- a/src/ray/common/cgroup2/cgroup_driver_interface.h +++ b/src/ray/common/cgroup2/cgroup_driver_interface.h @@ -68,19 +68,34 @@ class CgroupDriverInterface { /** Creates a new cgroup at the specified path. + Expects all cgroups on the path from root -> the new cgroup to already exist. Expects the user to have read, write, and execute privileges to parent cgroup. @param cgroup is an absolute path to the cgroup - @return Status::OK if no errors are encounted. Otherwise, one of the following errors + @return Status::OK if no errors are encounted. @return Status::NotFound if an ancestor cgroup does not exist. - @return Status::PermissionDenied if current user doesn't have read, write, and execute - permissions. + @return Status::PermissionDenied if the process doesn't have sufficient permissions. @return Status::AlreadyExists if the cgroup already exists. */ virtual Status CreateCgroup(const std::string &cgroup) = 0; + /** + Deletes the specified cgroup. + + Expects all cgroups from the root -> the specified cgroup to exist. + Expects the cgroup to have no children. + Expects the process to have adequate permissions for the parent cgroup. + + @param cgroup is an absolute path to the cgroup + + @return Status::OK if no errors are encounted. + @return Status::NotFound if an ancestor cgroup does not exist. + @return Status::PermissionDenied if the process doesn't have sufficient permissions. + */ + virtual Status DeleteCgroup(const std::string &cgroup) = 0; + /** Move all processes from one cgroup to another. The process must have read, write, and execute permissions for both cgroups and their lowest common ancestor. diff --git a/src/ray/common/cgroup2/cgroup_test_utils.cc b/src/ray/common/cgroup2/cgroup_test_utils.cc index 82452818eefc..49939b576153 100644 --- a/src/ray/common/cgroup2/cgroup_test_utils.cc +++ b/src/ray/common/cgroup2/cgroup_test_utils.cc @@ -62,11 +62,18 @@ ray::StatusOr> TempCgroupDirectory::Create( } TempCgroupDirectory::~TempCgroupDirectory() noexcept(false) { - RAY_CHECK(rmdir(path_.c_str()) != -1) << absl::StrFormat( - "Failed to delete a cgroup directory at %s with error %s. Please manually " - "delete it with rmdir.", - path_, - strerror(errno)); + // TODO(#54703): This can be refactored to disarm the destructor so that when you delete + // a cgroup created with TempCgroupDirectory and delete it outside the handler, this + // will not attempt to delete it. + if (rmdir(path_.c_str()) == -1) { + if (errno != ENOENT) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to delete a cgroup directory at %s with error %s. Please manually " + "delete it with rmdir.", + path_, + strerror(errno)); + } + } } ray::StatusOr> TempDirectory::Create() { diff --git a/src/ray/common/cgroup2/fake_cgroup_driver.h b/src/ray/common/cgroup2/fake_cgroup_driver.h index 0fe1ad041c85..6245d0fc1f5b 100644 --- a/src/ray/common/cgroup2/fake_cgroup_driver.h +++ b/src/ray/common/cgroup2/fake_cgroup_driver.h @@ -67,6 +67,7 @@ class FakeCgroupDriver : public CgroupDriverInterface { Status check_cgroup_enabled_s_ = Status::OK(); Status check_cgroup_s_ = Status::OK(); Status create_cgroup_s_ = Status::OK(); + Status delete_cgroup_s_ = Status::OK(); Status move_all_processes_s_ = Status::OK(); Status enable_controller_s_ = Status::OK(); Status disable_controller_s_ = Status::OK(); @@ -82,7 +83,6 @@ class FakeCgroupDriver : public CgroupDriverInterface { // All of them can be short-circuited by setting the corresponding // status to not ok. Status CreateCgroup(const std::string &cgroup) override { - RAY_LOG(INFO) << "CreateCgroup " << cgroup; if (!create_cgroup_s_.ok()) { return create_cgroup_s_; } @@ -90,6 +90,14 @@ class FakeCgroupDriver : public CgroupDriverInterface { return create_cgroup_s_; } + Status DeleteCgroup(const std::string &cgroup) override { + if (!delete_cgroup_s_.ok()) { + return delete_cgroup_s_; + } + cgroups_->erase(cgroup); + return delete_cgroup_s_; + } + Status MoveAllProcesses(const std::string &from, const std::string &to) override { if (!move_all_processes_s_.ok()) { return move_all_processes_s_; diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc index ab3312f27f25..3be47faaf5bd 100644 --- a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc @@ -12,6 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. #include +#include #include #include @@ -154,6 +155,99 @@ TEST_F(SysFsCgroupDriverIntegrationTest, << "Error: " << strerror(errno); } +// Tests for DeleteCgroup +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfDoesNotExist) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup = std::move(cgroup_dir_or_status.value()); + std::string cgroup_to_delete = + cgroup->GetPath() + std::filesystem::path::preferred_separator + "cool_group"; + SysFsCgroupDriver driver; + Status s = driver.DeleteCgroup(cgroup_to_delete); + ASSERT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfAncestorCgroupDoesNotExist) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string non_existent_path = cgroup_dir->GetPath() + + std::filesystem::path::preferred_separator + "no" + + std::filesystem::path::preferred_separator + "bueno"; + Status s = driver.DeleteCgroup(non_existent_path); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfOnlyReadPermissions) { + auto cgroup_dir_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string child_cgroup_path = + cgroup_dir->GetPath() + std::filesystem::path::preferred_separator + "child"; + Status s = driver.DeleteCgroup(child_cgroup_path); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfOnlyReadWritePermissions) { + auto cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRUSR | S_IWUSR); + ASSERT_TRUE(cgroup_dir_or_status.ok()) << cgroup_dir_or_status.ToString(); + auto cgroup_dir = std::move(cgroup_dir_or_status.value()); + SysFsCgroupDriver driver; + std::string child_cgroup_path = + cgroup_dir->GetPath() + std::filesystem::path::preferred_separator + "child"; + Status s = driver.DeleteCgroup(child_cgroup_path); + EXPECT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfCgroupHasChildren) { + auto parent_cgroup_dir_or_status = + TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(parent_cgroup_dir_or_status.ok()) << parent_cgroup_dir_or_status.ToString(); + std::unique_ptr parent_cgroup = + std::move(parent_cgroup_dir_or_status.value()); + auto child_cgroup_dir_or_status = + TempCgroupDirectory::Create(parent_cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(child_cgroup_dir_or_status.ok()) << child_cgroup_dir_or_status.ToString(); + SysFsCgroupDriver driver; + Status s = driver.DeleteCgroup(parent_cgroup->GetPath()); + EXPECT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, DeleteCgroupFailsIfCgroupHasProcesses) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + StatusOr> child_process = + StartChildProcessInCgroup(cgroup->GetPath()); + ASSERT_TRUE(child_process.ok()) << child_process.ToString(); + auto [child_pid, child_pidfd] = *child_process; + SysFsCgroupDriver driver; + // Delete fails while process is alive. + Status failed_s = driver.DeleteCgroup(cgroup->GetPath()); + EXPECT_TRUE(failed_s.IsInvalidArgument()) << failed_s.ToString(); + Status terminate_child = + TerminateChildProcessAndWaitForTimeout(child_pid, child_pidfd, 5000); + ASSERT_TRUE(terminate_child.ok()) << terminate_child.ToString(); + // Delete succeeds after child process terminates. + Status succeeded_s = driver.DeleteCgroup(cgroup->GetPath()); + EXPECT_TRUE(succeeded_s.ok()) << succeeded_s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + DeleteCgroupSucceedsIfLeafCgroupExistsWithNoProcessesAndCorrectPermissions) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.DeleteCgroup(cgroup->GetPath()); + EXPECT_TRUE(s.ok()) << s.ToString(); +} + +// RemoveController tests + TEST_F(SysFsCgroupDriverIntegrationTest, GetAvailableControllersFailsIfCgroupDoesNotExist) { std::string non_existent_path = test_cgroup_path_ + diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index bf29d8cafa66..b36960c6127c 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -134,14 +134,14 @@ Status SysFsCgroupDriver::CreateCgroup(const std::string &cgroup_path) { strerror(errno))); } if (errno == EACCES) { - return Status::PermissionDenied(absl::StrFormat( - "Failed to create cgroup at path %s with permissions %#o. " - "The current user does not have read, write, execute permissions " - "for the parent cgroup.\n" - "Error: %s.", - cgroup_path, - S_IRWXU, - strerror(errno))); + return Status::PermissionDenied( + absl::StrFormat("Failed to create cgroup at path %s with permissions %#o. " + "The process does not have read, write, execute permissions " + "for the parent cgroup.\n" + "Error: %s.", + cgroup_path, + S_IRWXU, + strerror(errno))); } if (errno == EEXIST) { return Status::AlreadyExists( @@ -162,6 +162,35 @@ Status SysFsCgroupDriver::CreateCgroup(const std::string &cgroup_path) { return Status::OK(); } +Status SysFsCgroupDriver::DeleteCgroup(const std::string &cgroup_path) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup_path)); + if (rmdir(cgroup_path.c_str()) == -1) { + if (errno == ENOENT) { + return Status::NotFound(absl::StrFormat( + "Failed to delete cgroup at path %s. The parent cgroup does not exist.\n" + "Error: %s.", + cgroup_path, + strerror(errno))); + } + if (errno == EACCES) { + return Status::PermissionDenied( + absl::StrFormat("Failed to delete cgroup at path %s. " + "The process does not have read, write, execute permissions " + "for the parent cgroup.\n" + "Error: %s.", + cgroup_path, + strerror(errno))); + } + return Status::InvalidArgument( + absl::StrFormat("Failed to delete cgroup at path %s. To delete a cgroup, it must " + "have no children and it must not have any processes.\n" + "Error: %s.", + cgroup_path, + strerror(errno))); + } + return Status::OK(); +} + StatusOr> SysFsCgroupDriver::GetAvailableControllers( const std::string &cgroup_dir) { RAY_RETURN_NOT_OK(CheckCgroup(cgroup_dir)); diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.h b/src/ray/common/cgroup2/sysfs_cgroup_driver.h index 2f654115d282..de5104caeec6 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.h +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.h @@ -121,6 +121,25 @@ class SysFsCgroupDriver : public CgroupDriverInterface { */ Status CreateCgroup(const std::string &cgroup_path) override; + /** + To delete a cgroup using the cgroupv2 vfs, the current user needs to read, write, and + execute permissions for the parent cgroup. This can be achieved through cgroup + delegation. The cgroup must also have no processes or children. + + @see The relevant manpage section on delegation for more details + https://docs.kernel.org/admin-guide/cgroup-v2.html#delegation + + @param cgroup_path the absolute path of the cgroup directory to create. + + @return Status::OK if no errors are encounted. + @return Status::NotFound if an ancestor cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions. + @return Status::InvalidArgument if the cgroup has children, processes, or for any + other reason. + */ + Status DeleteCgroup(const std::string &cgroup_path) override; + /** Parses the cgroup.controllers file which has a space separated list of all controllers available to the cgroup. diff --git a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc index 70d123c5f5fb..0d712c1443c3 100644 --- a/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc +++ b/src/ray/common/cgroup2/tests/sysfs_cgroup_driver_test.cc @@ -87,6 +87,23 @@ TEST(SysFsCgroupDriver, CheckCgroupFailsIfCgroupDoesNotExist) { EXPECT_TRUE(s.IsNotFound()) << s.ToString(); } +TEST(SysFsCgroupDriver, DeleteCgroupFailsIfNotCgroup2Path) { + // This is not a directory on the cgroupv2 vfs. + auto temp_dir_or_status = TempDirectory::Create(); + ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); + std::unique_ptr temp_dir = std::move(temp_dir_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.DeleteCgroup(temp_dir->GetPath()); + EXPECT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(SysFsCgroupDriver, DeleteCgroupFailsIfCgroupDoesNotExist) { + // This is not a directory on the cgroupv2 vfs. + SysFsCgroupDriver driver; + Status s = driver.DeleteCgroup("/some/path/that/doesnt/exist"); + EXPECT_TRUE(s.IsNotFound()) << s.ToString(); +} + TEST(SysFsCgroupDriver, GetAvailableControllersFailsIfNotCgroup2Path) { auto temp_dir_or_status = TempDirectory::Create(); ASSERT_TRUE(temp_dir_or_status.ok()) << temp_dir_or_status.ToString(); From 786b43bf9094aab052ab7819c6042aefc5eb75db Mon Sep 17 00:00:00 2001 From: Jun-Hao Wan Date: Tue, 9 Sep 2025 01:51:13 +0800 Subject: [PATCH 1089/1566] [Docs] Include CR UID in KubeRay metrics reference (#56312) Since https://github.com/ray-project/kuberay/pull/4003 added a new label `uid` to each metric, the documentation needs to be updated accordingly. image Result: https://anyscale-ray--56312.com.readthedocs.build/en/56312/cluster/kubernetes/k8s-ecosystem/metrics-references.html Signed-off-by: win5923 Signed-off-by: Douglas Strodtman --- .../k8s-ecosystem/metrics-references.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/metrics-references.md b/doc/source/cluster/kubernetes/k8s-ecosystem/metrics-references.md index c3f95c771e14..f4a7a6c97ee5 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/metrics-references.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/metrics-references.md @@ -28,24 +28,24 @@ curl localhost:8080/metrics | Metric name | Type | Description | Labels | |--------------------------------------------------|-------|----------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------| -| `kuberay_cluster_info` | Gauge | Metadata information about RayCluster custom resources. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name>
    `owner_kind`: <RayJob\|RayService\|None> | -| `kuberay_cluster_condition_provisioned` | Gauge | Indicates whether the RayCluster is provisioned. See [RayClusterProvisioned](https://github.com/ray-project/kuberay/blob/7c6aedff5b4106281f50e87a7e9e177bf1237ec7/ray-operator/apis/ray/v1/raycluster_types.go#L214) for more information. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name>
    `condition`: <true\|false> | -| `kuberay_cluster_provisioned_duration_seconds` | Gauge | The time, in seconds, when a RayCluster's `RayClusterProvisioned` status transitions from false (or unset) to true. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name> | +| `kuberay_cluster_info` | Gauge | Metadata information about RayCluster custom resources. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name>
    `owner_kind`: <RayJob\|RayService\|None>
    `uid`: <RayCluster-uid> | +| `kuberay_cluster_condition_provisioned` | Gauge | Indicates whether the RayCluster is provisioned. See [RayClusterProvisioned](https://github.com/ray-project/kuberay/blob/7c6aedff5b4106281f50e87a7e9e177bf1237ec7/ray-operator/apis/ray/v1/raycluster_types.go#L214) for more information. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name>
    `condition`: <true\|false>
    `uid`: <RayCluster-uid> | +| `kuberay_cluster_provisioned_duration_seconds` | Gauge | The time, in seconds, when a RayCluster's `RayClusterProvisioned` status transitions from false (or unset) to true. | `namespace`: <RayCluster-namespace>
    `name`: <RayCluster-name>
    `uid`: <RayCluster-uid> | ### RayService metrics | Metric name | Type | Description | Labels | |--------------------------------------------------|-------|------------------------------------------------------------|--------------------------------------------------------------------| -| `kuberay_service_info` | Gauge | Metadata information about RayService custom resources. | `namespace`: <RayService-namespace>
    `name`: <RayService-name> | -| `kuberay_service_condition_ready` | Gauge | Describes whether the RayService is ready. Ready means users can send requests to the underlying cluster and the number of serve endpoints is greater than 0. See [RayServiceReady](https://github.com/ray-project/kuberay/blob/33ee6724ca2a429c77cb7ff5821ba9a3d63f7c34/ray-operator/apis/ray/v1/rayservice_types.go#L135) for more information. | `namespace`: <RayService-namespace>
    `name`: <RayService-name> | -| `kuberay_service_condition_upgrade_in_progress` | Gauge | Describes whether the RayService is performing a zero-downtime upgrade. See [UpgradeInProgress](https://github.com/ray-project/kuberay/blob/33ee6724ca2a429c77cb7ff5821ba9a3d63f7c34/ray-operator/apis/ray/v1/rayservice_types.go#L137) for more information. | `namespace`: <RayService-namespace>
    `name`: <RayService-name> | +| `kuberay_service_info` | Gauge | Metadata information about RayService custom resources. | `namespace`: <RayService-namespace>
    `name`: <RayService-name>
    `uid`: <RayService-uid> | +| `kuberay_service_condition_ready` | Gauge | Describes whether the RayService is ready. Ready means users can send requests to the underlying cluster and the number of serve endpoints is greater than 0. See [RayServiceReady](https://github.com/ray-project/kuberay/blob/33ee6724ca2a429c77cb7ff5821ba9a3d63f7c34/ray-operator/apis/ray/v1/rayservice_types.go#L135) for more information. | `namespace`: <RayService-namespace>
    `name`: <RayService-name>
    `uid`: <RayService-uid> | +| `kuberay_service_condition_upgrade_in_progress` | Gauge | Describes whether the RayService is performing a zero-downtime upgrade. See [UpgradeInProgress](https://github.com/ray-project/kuberay/blob/33ee6724ca2a429c77cb7ff5821ba9a3d63f7c34/ray-operator/apis/ray/v1/rayservice_types.go#L137) for more information. | `namespace`: <RayService-namespace>
    `name`: <RayService-name>
    `uid`: <RayService-uid> | ### RayJob metrics | Metric name | Type | Description | Labels | |--------------------------------------------------|-------|------------------------------------------------------------|---------------------------------------------------------------------------| -| `kuberay_job_info` | Gauge | Metadata information about RayJob custom resources. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name> | -| `kuberay_job_deployment_status` | Gauge | The RayJob's current deployment status. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name>
    `deployment_status`: <New\|Initializing\|Running\|Complete\|Failed\|Suspending\|Suspended\|Retrying\|Waiting> | -| `kuberay_job_execution_duration_seconds` | Gauge | Duration of the RayJob CR’s JobDeploymentStatus transition from `Initializing` to either the `Retrying` state or a terminal state, such as `Complete` or `Failed`. The `Retrying` state indicates that the CR previously failed and that spec.backoffLimit is enabled. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name>
    `job_deployment_status`: <Complete\|Failed>
    `retry_count`: <count> | +| `kuberay_job_info` | Gauge | Metadata information about RayJob custom resources. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name>
    `uid`: <RayJob-uid> | +| `kuberay_job_deployment_status` | Gauge | The RayJob's current deployment status. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name>
    `deployment_status`: <New\|Initializing\|Running\|Complete\|Failed\|Suspending\|Suspended\|Retrying\|Waiting>
    `uid`: <RayJob-uid> | +| `kuberay_job_execution_duration_seconds` | Gauge | Duration of the RayJob CR’s JobDeploymentStatus transition from `Initializing` to either the `Retrying` state or a terminal state, such as `Complete` or `Failed`. The `Retrying` state indicates that the CR previously failed and that spec.backoffLimit is enabled. | `namespace`: <RayJob-namespace>
    `name`: <RayJob-name>
    `job_deployment_status`: <Complete\|Failed>
    `retry_count`: <count>
    `uid`: <RayJob-uid> | From 96a286ae740ff2c38b54a22173f961efb5f039c2 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Mon, 8 Sep 2025 13:58:13 -0400 Subject: [PATCH 1090/1566] [Data] Fixing empty projection handling in `ParquetDataSource` (#56299) ## Why are these changes needed? 1. Fixing empty projection handling in `ParquetDataSource` 2. Adding tests ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../datasource/parquet_datasource.py | 186 +++++++++++++----- python/ray/data/_internal/output_buffer.py | 4 +- python/ray/data/tests/test_parquet.py | 137 +++++++++++++ 3 files changed, 280 insertions(+), 47 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 8cb6db7600ae..ae66e7cab478 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -1,5 +1,6 @@ import logging import math +import os import warnings from dataclasses import dataclass from typing import ( @@ -7,6 +8,7 @@ Any, Callable, Dict, + Iterable, Iterator, List, Literal, @@ -20,6 +22,7 @@ import ray from ray._private.arrow_utils import get_pyarrow_version +from ray.data._internal.arrow_block import ArrowBlockAccessor from ray.data._internal.progress_bar import ProgressBar from ray.data._internal.remote_fn import cached_remote_fn from ray.data._internal.util import ( @@ -52,6 +55,7 @@ if TYPE_CHECKING: import pyarrow + from pyarrow import parquet as pq from pyarrow.dataset import ParquetFileFragment @@ -100,6 +104,9 @@ PARQUET_ENCODING_RATIO_ESTIMATE_NUM_ROWS = 1024 +_BATCH_SIZE_PRESERVING_STUB_COL_NAME = "__bsp_stub" + + class _ParquetFragment: """This wrapper class is created to avoid utilizing `ParquetFileFragment` original serialization protocol that actually does network RPCs during serialization @@ -434,51 +441,25 @@ def read_fragments( # Ensure that we're reading at least one dataset fragment. assert len(fragments) > 0 - import pyarrow as pa - logger.debug(f"Reading {len(fragments)} parquet fragments") - - use_threads = to_batches_kwargs.pop("use_threads", False) - batch_size = to_batches_kwargs.pop("batch_size", default_read_batch_size_rows) for fragment in fragments: - partitions = {} - if partitioning is not None: - parse = PathPartitionParser(partitioning) - partitions = parse(fragment.original.path) - - # Filter out partitions that aren't in the user-specified columns list. - if partition_columns is not None: - partitions = { - field_name: value - for field_name, value in partitions.items() - if field_name in partition_columns - } - - def get_batch_iterable(): - if batch_size is not None: - to_batches_kwargs["batch_size"] = batch_size - - return fragment.original.to_batches( - use_threads=use_threads, - columns=data_columns, - schema=schema, - **to_batches_kwargs, - ) - # S3 can raise transient errors during iteration, and PyArrow doesn't expose a # way to retry specific batches. ctx = ray.data.DataContext.get_current() - for batch in iterate_with_retry( - get_batch_iterable, "load batch", match=ctx.retried_io_errors + for table in iterate_with_retry( + lambda: _read_batches_from( + fragment.original, + schema=schema, + data_columns=data_columns, + partition_columns=partition_columns, + partitioning=partitioning, + include_path=include_paths, + batch_size=default_read_batch_size_rows, + to_batches_kwargs=to_batches_kwargs, + ), + "reading batches", + match=ctx.retried_io_errors, ): - table = pa.Table.from_batches([batch], schema=schema) - if include_paths: - table = BlockAccessor.for_block(table).fill_column( - "path", fragment.original.path - ) - if partitions: - table = _add_partitions_to_table(partitions, table) - # If the table is empty, drop it. if table.num_rows > 0: if block_udf is not None: @@ -487,6 +468,112 @@ def get_batch_iterable(): yield table +def _read_batches_from( + fragment: "ParquetFileFragment", + *, + schema: "pyarrow.Schema", + data_columns: Optional[List[str]], + partition_columns: Optional[List[str]], + partitioning: Partitioning, + filter_expr: Optional["pyarrow.dataset.Expression"] = None, + batch_size: Optional[int] = None, + include_path: bool = False, + use_threads: bool = False, + to_batches_kwargs: Optional[Dict[str, Any]] = None, +) -> Iterable["pyarrow.Table"]: + """Get an iterable of batches from a parquet fragment.""" + + import pyarrow as pa + + # Copy to avoid modifying passed in arg + to_batches_kwargs = dict(to_batches_kwargs or {}) + + # NOTE: Passed in kwargs overrides always take precedence + # TODO deprecate to_batches_kwargs + use_threads = to_batches_kwargs.pop("use_threads", use_threads) + filter_expr = to_batches_kwargs.pop("filter", filter_expr) + # NOTE: Arrow's ``to_batches`` expects ``batch_size`` as an int + if batch_size is not None: + to_batches_kwargs.setdefault("batch_size", batch_size) + + partition_col_values = _parse_partition_column_values( + fragment, partition_columns, partitioning + ) + + try: + for batch in fragment.to_batches( + columns=data_columns, + filter=filter_expr, + schema=schema, + use_threads=use_threads, + **to_batches_kwargs, + ): + table = pa.Table.from_batches([batch]) + + if include_path: + table = ArrowBlockAccessor.for_block(table).fill_column( + "path", fragment.path + ) + + if partition_col_values: + table = _add_partitions_to_table(partition_col_values, table) + + # ``ParquetFileFragment.to_batches`` returns ``RecordBatch``, + # which could have empty projection (ie ``num_columns`` == 0) + # while having non-empty rows (ie ``num_rows`` > 0), which + # could occur when list of requested columns is empty. + # + # However, when ``RecordBatches`` are concatenated using + # ``pyarrow.concat_tables`` it will return a single ``Table`` + # with 0 columns and therefore 0 rows (since ``Table``s number of + # rows is determined as the length of its columns). + # + # To avoid running into this pitfall, we introduce a stub column + # holding just nulls to maintain invariance of the number of rows. + # + # NOTE: There's no impact from this as the binary size of the + # extra column is basically 0 + if table.num_columns == 0 and table.num_rows > 0: + table = table.append_column( + _BATCH_SIZE_PRESERVING_STUB_COL_NAME, pa.nulls(table.num_rows) + ) + + yield table + + except pa.lib.ArrowInvalid as e: + error_message = str(e) + if "No match for FieldRef.Name" in error_message and filter_expr is not None: + filename = os.path.basename(fragment.path) + file_columns = set(fragment.physical_schema.names) + raise RuntimeError( + f"Filter expression: '{filter_expr}' failed on parquet " + f"file: '{filename}' with columns: {file_columns}" + ) + raise + + +def _parse_partition_column_values( + fragment: "ParquetFileFragment", + partition_columns: Optional[List[str]], + partitioning: Partitioning, +): + partitions = {} + + if partitioning is not None: + parse = PathPartitionParser(partitioning) + partitions = parse(fragment.path) + + # Filter out partitions that aren't in the user-specified columns list. + if partition_columns is not None: + partitions = { + field_name: value + for field_name, value in partitions.items() + if field_name in partition_columns + } + + return partitions + + def _fetch_parquet_file_info( fragment: _ParquetFragment, *, @@ -690,13 +777,18 @@ def _sample_fragments( def _add_partitions_to_table( - partitions: Dict[str, PartitionDataType], table: "pyarrow.Table" + partition_col_values: Dict[str, PartitionDataType], table: "pyarrow.Table" ) -> "pyarrow.Table": - for field_name, value in partitions.items(): - field_index = table.schema.get_field_index(field_name) + for partition_col, value in partition_col_values.items(): + field_index = table.schema.get_field_index(partition_col) if field_index == -1: - table = BlockAccessor.for_block(table).fill_column(field_name, value) + table = BlockAccessor.for_block(table).fill_column(partition_col, value) + elif log_once(f"duplicate_partition_field_{partition_col}"): + logger.warning( + f"The partition field '{partition_col}' also exists in the Parquet " + f"file. Ray Data will default to using the value in the Parquet file." + ) return table @@ -747,7 +839,11 @@ def emit_file_extensions_future_warning(future_file_extensions: List[str]): def _infer_schema( - parquet_dataset, schema, columns, partitioning, _block_udf + parquet_dataset: "pq.ParquetDataset", + schema: "pyarrow.Schema", + columns: Optional[List[str]], + partitioning, + _block_udf, ) -> "pyarrow.Schema": """Infer the schema of read data using the user-specified parameters.""" import pyarrow as pa @@ -760,7 +856,7 @@ def _infer_schema( partitioning, inferred_schema, parquet_dataset ) - if columns: + if columns is not None: inferred_schema = pa.schema( [inferred_schema.field(column) for column in columns], inferred_schema.metadata, diff --git a/python/ray/data/_internal/output_buffer.py b/python/ray/data/_internal/output_buffer.py index 20265ebd35b2..f8332b30d2b8 100644 --- a/python/ray/data/_internal/output_buffer.py +++ b/python/ray/data/_internal/output_buffer.py @@ -90,7 +90,7 @@ def has_next(self) -> bool: self._exceeded_buffer_row_limit() or self._exceeded_buffer_size_limit() ) - def _exceeded_block_size_slice_limit(self, block: Block) -> bool: + def _exceeded_block_size_slice_limit(self, block: BlockAccessor) -> bool: # Slice a block to respect the target max block size. We only do this if we are # more than 50% above the target block size, because this ensures that the last # block produced will be at least half the target block size. @@ -101,7 +101,7 @@ def _exceeded_block_size_slice_limit(self, block: Block) -> bool: * self._output_block_size_option.target_max_block_size ) - def _exceeded_block_row_slice_limit(self, block: Block) -> bool: + def _exceeded_block_row_slice_limit(self, block: BlockAccessor) -> bool: # Slice a block to respect the target max rows per block. We only do this if we # are more than 50% above the target rows per block, because this ensures that # the last block produced will be at least half the target row count. diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index 08471a7653c3..59de820688c8 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -601,6 +601,32 @@ def test_parquet_read_partitioned_explicit( ] +def test_proper_projection_for_partitioned_datasets(temp_dir): + ds = ray.data.read_parquet("example://iris.parquet").materialize() + + partitioned_ds_path = f"{temp_dir}/partitioned_iris" + # Write out partitioned dataset + ds.write_parquet(partitioned_ds_path, partition_cols=["variety"]) + + partitioned_ds = ray.data.read_parquet( + partitioned_ds_path, columns=["variety"] + ).materialize() + + print(partitioned_ds.schema()) + + assert [ + "sepal.length", + "sepal.width", + "petal.length", + "petal.width", + "variety", + ] == ds.take_batch(batch_format="pyarrow").column_names + + assert ["variety"] == partitioned_ds.take_batch(batch_format="pyarrow").column_names + + assert ds.count() == partitioned_ds.count() + + def test_parquet_read_with_udf( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): @@ -1984,6 +2010,117 @@ def test_read_parquet_with_none_partitioning_and_columns(tmp_path): assert ds.take_all() == [{"column": 42}] +def _create_test_data(num_rows: int) -> dict: + return { + "int_col": list(range(num_rows)), + "float_col": [float(i) for i in range(num_rows)], + "str_col": [f"str_{i}" for i in range(num_rows)], + } + + +@pytest.mark.parametrize( + "batch_size,filter_expr,expected_rows,description", + [ + # No batch size cases + (None, "int_col > 500", 499, "No batch size, int > 500"), + (None, "int_col < 200", 200, "No batch size, int < 200"), + ( + None, + "float_col == 42.0", + 1, + "No batch size, float == 42.0", + ), + ( + None, + "str_col == 'str_42'", + 1, + "No batch size, str == str_42", + ), + # Batch size cases + (100, "int_col > 500", 499, "Fixed batch size, int > 500"), + (200, "int_col < 200", 200, "Fixed batch size, int < 200"), + ( + 300, + "float_col == 42.0", + 1, + "Fixed batch size, float == 42.0", + ), + ( + 400, + "str_col == 'str_42'", + 1, + "Fixed batch size, str == str_42", + ), + ], +) +def test_read_parquet_with_filter_selectivity( + ray_start_regular_shared, + tmp_path, + batch_size, + filter_expr, + expected_rows, + description, +): + """Test reading parquet files with filter expressions and different batch sizes.""" + num_rows = 1000 + data = _create_test_data(num_rows) + table = pa.Table.from_pydict(data) + + file_path = os.path.join(tmp_path, "test.parquet") + pq.write_table(table, file_path, row_group_size=200) + + if batch_size is not None: + ray.data.DataContext.get_current().target_max_block_size = batch_size + ds = ray.data.read_parquet(file_path).filter(expr=filter_expr) + + assert ds.count() == expected_rows, ( + f"{description}: Filter '{filter_expr}' returned {ds.count()} rows, " + f"expected {expected_rows}" + ) + + # Verify schema has expected columns and types + assert ds.schema().base_schema == table.schema + + +@pytest.mark.parametrize("batch_size", [None, 100, 200, 10_000]) +@pytest.mark.parametrize( + "columns", + [ + # Empty projection + [], + ["int_col"], + ["int_col", "float_col", "str_col"], + ], +) +def test_read_parquet_with_columns_selectivity( + ray_start_regular_shared, + tmp_path, + batch_size, + columns, +): + """Test reading parquet files with different column selections and batch sizes.""" + num_rows = 1000 + data = _create_test_data(num_rows) + table = pa.Table.from_pydict(data) + + file_path = os.path.join(tmp_path, "test.parquet") + pq.write_table(table, file_path, row_group_size=200) + + if batch_size is not None: + ray.data.DataContext.get_current().target_max_block_size = batch_size + ds = ray.data.read_parquet(file_path, columns=columns) + + assert ds.count() == num_rows, ( + f"Column selection {columns} with batch_size={batch_size} " + f"returned {ds.count()} rows, expected {num_rows}" + ) + + assert set(ds.schema().names) == set(columns), ( + f"Column selection {columns} with batch_size={batch_size} " + f"returned columns {ds.schema().names}" + ) + + if __name__ == "__main__": import sys From c75b11671236ea90651f0a3957bc3b028670df80 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Mon, 8 Sep 2025 23:31:01 +0530 Subject: [PATCH 1091/1566] increase timeout for failed task test (#56328) we have set the retry backoff as true, and max retries as 3 for this test. so, actually the task gets consumed 4 times, and the difference between the task consumption time is 1 sec, 2 sec and 4 sec, which makes the total time to complete the test close of 10 seconds, hence the test was flaky increasing the timeout to 20 seconds Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_task_processor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_task_processor.py b/python/ray/serve/tests/test_task_processor.py index 1dc662325d69..d194f3dca6cc 100644 --- a/python/ray/serve/tests/test_task_processor.py +++ b/python/ray/serve/tests/test_task_processor.py @@ -233,7 +233,7 @@ def assert_result(): else: return False - wait_for_condition(assert_result, timeout=10) + wait_for_condition(assert_result, timeout=20) def test_task_consumer_persistence_across_restarts( self, temp_queue_directory, serve_instance, create_processor_config From a05c39df92cbbc8c68134761b41623949dd3de24 Mon Sep 17 00:00:00 2001 From: Pavitra Bhalla Date: Mon, 8 Sep 2025 13:03:38 -0500 Subject: [PATCH 1092/1566] [Core] Add PID to structured logs for tasks and actors (#55176) Signed-off-by: pavitrabhalla Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/ray_logging/constants.py | 1 + python/ray/_private/ray_logging/formatters.py | 1 + python/ray/tests/test_logging_2.py | 23 ++++++++++++++++--- 3 files changed, 22 insertions(+), 3 deletions(-) diff --git a/python/ray/_private/ray_logging/constants.py b/python/ray/_private/ray_logging/constants.py index 6accad120006..a5bf5850a708 100644 --- a/python/ray/_private/ray_logging/constants.py +++ b/python/ray/_private/ray_logging/constants.py @@ -53,6 +53,7 @@ class LogKey(str, Enum): FILENAME = "filename" LINENO = "lineno" EXC_TEXT = "exc_text" + PROCESS = "process" # Ray logging context TIMESTAMP_NS = "timestamp_ns" diff --git a/python/ray/_private/ray_logging/formatters.py b/python/ray/_private/ray_logging/formatters.py index 9c1cc8a51e40..bf67a309bb5c 100644 --- a/python/ray/_private/ray_logging/formatters.py +++ b/python/ray/_private/ray_logging/formatters.py @@ -63,6 +63,7 @@ def generate_record_format_attrs( LogKey.MESSAGE.value: record.getMessage(), LogKey.FILENAME.value: record.filename, LogKey.LINENO.value: record.lineno, + LogKey.PROCESS.value: record.process, } ) if record.exc_info: diff --git a/python/ray/tests/test_logging_2.py b/python/ray/tests/test_logging_2.py index 11cca61fb1cf..a74f5025125b 100644 --- a/python/ray/tests/test_logging_2.py +++ b/python/ray/tests/test_logging_2.py @@ -18,9 +18,11 @@ def test_driver_process(self, shutdown_only): filter = CoreContextFilter() record = logging.makeLogRecord({}) assert filter.filter(record) - # Ray is not initialized so no context + # Ray is not initialized so no context except PID which should be available for attr in log_context: assert not hasattr(record, attr) + # PID should be available even when Ray is not initialized + assert hasattr(record, "process") assert hasattr(record, "_ray_timestamp_ns") ray.init() @@ -31,6 +33,7 @@ def test_driver_process(self, shutdown_only): "job_id": runtime_context.get_job_id(), "worker_id": runtime_context.get_worker_id(), "node_id": runtime_context.get_node_id(), + "process": record.process, } for attr in log_context: assert hasattr(record, attr) @@ -46,7 +49,7 @@ def f(): filter = CoreContextFilter() record = logging.makeLogRecord({}) assert filter.filter(record) - should_exist = ["job_id", "worker_id", "node_id", "task_id"] + should_exist = ["job_id", "worker_id", "node_id", "task_id", "process"] runtime_context = ray.get_runtime_context() expected_values = { "job_id": runtime_context.get_job_id(), @@ -55,6 +58,7 @@ def f(): "task_id": runtime_context.get_task_id(), "task_name": runtime_context.get_task_name(), "task_func_name": runtime_context.get_task_function_name(), + "process": record.process, } for attr in should_exist: assert hasattr(record, attr) @@ -73,7 +77,14 @@ def f(self): filter = CoreContextFilter() record = logging.makeLogRecord({}) assert filter.filter(record) - should_exist = ["job_id", "worker_id", "node_id", "actor_id", "task_id"] + should_exist = [ + "job_id", + "worker_id", + "node_id", + "actor_id", + "task_id", + "process", + ] runtime_context = ray.get_runtime_context() expected_values = { "job_id": runtime_context.get_job_id(), @@ -84,6 +95,7 @@ def f(self): "task_id": runtime_context.get_task_id(), "task_name": runtime_context.get_task_name(), "task_func_name": runtime_context.get_task_function_name(), + "process": record.process, } for attr in should_exist: assert hasattr(record, attr) @@ -102,6 +114,7 @@ def test_empty_record(self, shutdown_only): record_dict = json.loads(formatted) should_exist = [ + "process", "asctime", "levelname", "message", @@ -124,6 +137,7 @@ def test_record_with_exception(self, shutdown_only): formatted = formatter.format(record) record_dict = json.loads(formatted) should_exist = [ + "process", "asctime", "levelname", "message", @@ -143,6 +157,7 @@ def test_record_with_user_provided_context(self, shutdown_only): formatted = formatter.format(record) record_dict = json.loads(formatted) should_exist = [ + "process", "asctime", "levelname", "message", @@ -171,6 +186,7 @@ def test_record_with_flatten_keys_valid_dict(self, shutdown_only): formatted = formatter.format(record) record_dict = json.loads(formatted) should_exist = [ + "process", "asctime", "levelname", "message", @@ -196,6 +212,7 @@ def test_record_with_valid_additional_log_standard_attrs(self, shutdown_only): record_dict = json.loads(formatted) should_exist = [ + "process", "asctime", "levelname", "message", From ffb76dae106b42e260a18c818136f95f56293e3c Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 8 Sep 2025 11:40:32 -0700 Subject: [PATCH 1093/1566] [Data] Refactor `from_torch` unit tests (#56331) ## Why are these changes needed? This PR improves `ray.data.from_torch` tests by: * Moving them from test_formats.py to test_torch.py for clearer organization * Using a shared Ray cluster instead of shutdown_only to reduce overhead * Replacing FashionMNIST with a stub dataset to remove the external dependency * Splitting test_from_torch into separate map-style and iterable-style tests so each case is isolated ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_formats.py | 74 ------------------------ python/ray/data/tests/test_torch.py | 82 +++++++++++++++++++++++++++ 2 files changed, 82 insertions(+), 74 deletions(-) diff --git a/python/ray/data/tests/test_formats.py b/python/ray/data/tests/test_formats.py index 19d2d7aa36ae..c0ac1f8f4df7 100644 --- a/python/ray/data/tests/test_formats.py +++ b/python/ray/data/tests/test_formats.py @@ -5,7 +5,6 @@ import pyarrow as pa import pyarrow.parquet as pq import pytest -import torchvision from fsspec.implementations.http import HTTPFileSystem from fsspec.implementations.local import LocalFileSystem @@ -249,79 +248,6 @@ def test_from_tf(ray_start_regular_shared): tf.debugging.assert_equal(expected_label, actual_label) -@pytest.mark.parametrize("local_read", [True, False]) -def test_from_torch(shutdown_only, local_read, tmp_path): - torch_dataset = torchvision.datasets.FashionMNIST(tmp_path, download=True) - expected_data = list(torch_dataset) - - ray_dataset = ray.data.from_torch(torch_dataset, local_read=local_read) - - actual_data = extract_values("item", list(ray_dataset.take_all())) - assert actual_data == expected_data - - import torch - - class IterFashionMNIST(torch.utils.data.IterableDataset): - def __len__(self): - return len(torch_dataset) - - def __iter__(self): - return iter(torch_dataset) - - iter_torch_dataset = IterFashionMNIST() - ray_dataset = ray.data.from_torch(iter_torch_dataset) - - actual_data = extract_values("item", list(ray_dataset.take_all())) - assert actual_data == expected_data - - -@pytest.mark.parametrize("local_read", [True, False]) -def test_from_torch_boundary_conditions(shutdown_only, local_read): - """ - Tests that from_torch respects __len__ for map-style datasets - """ - from torch.utils.data import Dataset - - class BoundaryTestMapDataset(Dataset): - """A map-style dataset where __len__ is less than the underlying data size.""" - - def __init__(self, data, length): - super().__init__() - self._data = data - self._length = length - assert self._length <= len( - self._data - ), "Length must be <= data size to properly test boundary conditions" - - def __len__(self): - return self._length - - def __getitem__(self, index): - if not (0 <= index < self._length): - # Note: don't use IndexError because we want to fail clearly if - # Ray Data tries to access beyond __len__ - 1 - raise RuntimeError( - f"Index {index} out of bounds for dataset with length {self._length}" - ) - return self._data[index] - - source_data = list(range(10)) - dataset_len = 8 # Intentionally less than len(source_data) - - # --- Test MapDataset --- - map_ds = BoundaryTestMapDataset(source_data, dataset_len) - # Expected data only includes elements up to dataset_len - 1 - expected_items = source_data[:dataset_len] - - ray_ds_map = ray.data.from_torch(map_ds, local_read=local_read) - actual_items_map = extract_values("item", list(ray_ds_map.take_all())) - - # This assertion verifies that ray_ds_map didn't try to access index 8 or 9, - # which would have raised an IndexError in BoundaryTestMapDataset.__getitem__ - assert actual_items_map == expected_items - assert len(actual_items_map) == dataset_len - - def test_read_s3_file_error(shutdown_only, s3_path): dummy_path = s3_path + "_dummy" error_message = "Please check that file exists and has properly configured access." diff --git a/python/ray/data/tests/test_torch.py b/python/ray/data/tests/test_torch.py index 024a8f1044c3..5cae57075f8b 100644 --- a/python/ray/data/tests/test_torch.py +++ b/python/ray/data/tests/test_torch.py @@ -1,10 +1,12 @@ import numpy as np import pandas as pd import pytest +import torch import ray from ray.data.extensions.tensor_extension import TensorArray from ray.data.tests.conftest import * # noqa +from ray.data.tests.util import extract_values from ray.tests.conftest import * # noqa @@ -336,6 +338,86 @@ def train_loop_per_worker(): my_trainer.fit() +@pytest.mark.parametrize("local_read", [True, False]) +def test_from_torch_map_style_dataset(ray_start_10_cpus_shared, local_read): + class StubDataset(torch.utils.data.Dataset): + def __len__(self): + return 1 + + def __getitem__(self, index): + return index + + torch_dataset = StubDataset() + + ray_dataset = ray.data.from_torch(torch_dataset, local_read=local_read) + + actual_data = ray_dataset.take_all() + assert actual_data == [{"item": 0}] + + +def test_from_torch_iterable_style_dataset(ray_start_10_cpus_shared): + class StubIterableDataset(torch.utils.data.IterableDataset): + def __len__(self): + return 1 + + def __iter__(self): + return iter([0]) + + iter_torch_dataset = StubIterableDataset() + + ray_dataset = ray.data.from_torch(iter_torch_dataset) + + actual_data = ray_dataset.take_all() + assert actual_data == [{"item": 0}] + + +@pytest.mark.parametrize("local_read", [True, False]) +def test_from_torch_boundary_conditions(ray_start_10_cpus_shared, local_read): + """ + Tests that from_torch respects __len__ for map-style datasets + """ + from torch.utils.data import Dataset + + class BoundaryTestMapDataset(Dataset): + """A map-style dataset where __len__ is less than the underlying data size.""" + + def __init__(self, data, length): + super().__init__() + self._data = data + self._length = length + assert self._length <= len( + self._data + ), "Length must be <= data size to properly test boundary conditions" + + def __len__(self): + return self._length + + def __getitem__(self, index): + if not (0 <= index < self._length): + # Note: don't use IndexError because we want to fail clearly if + # Ray Data tries to access beyond __len__ - 1 + raise RuntimeError( + f"Index {index} out of bounds for dataset with length {self._length}" + ) + return self._data[index] + + source_data = list(range(10)) + dataset_len = 8 # Intentionally less than len(source_data) + + # --- Test MapDataset --- + map_ds = BoundaryTestMapDataset(source_data, dataset_len) + # Expected data only includes elements up to dataset_len - 1 + expected_items = source_data[:dataset_len] + + ray_ds_map = ray.data.from_torch(map_ds, local_read=local_read) + actual_items_map = extract_values("item", list(ray_ds_map.take_all())) + + # This assertion verifies that ray_ds_map didn't try to access index 8 or 9, + # which would have raised an IndexError in BoundaryTestMapDataset.__getitem__ + assert actual_items_map == expected_items + assert len(actual_items_map) == dataset_len + + if __name__ == "__main__": import sys From 920d9bfd0efc8273b4947c068ac4f5709f937f9b Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Mon, 8 Sep 2025 12:48:09 -0700 Subject: [PATCH 1094/1566] [core] Make RequestWorkerLease RPC Fault Tolerant (#56191) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD | 1 + python/ray/tests/test_failure_3.py | 14 +- python/ray/tests/test_failure_4.py | 13 +- python/ray/tests/test_object_manager.py | 2 + .../ray/tests/test_raylet_fault_tolerance.py | 48 +++++++ python/ray/tests/test_reconstruction.py | 2 + python/ray/tests/test_reconstruction_2.py | 2 + .../ray/tests/test_reconstruction_stress.py | 2 + .../tests/test_reconstruction_stress_spill.py | 2 + .../ray/tests/test_streaming_generator_2.py | 2 + .../ray/tests/test_streaming_generator_4.py | 2 + .../task_submission/normal_task_submitter.cc | 81 +++++------ .../task_submission/normal_task_submitter.h | 12 +- .../tests/normal_task_submitter_test.cc | 129 ++++++++++-------- src/ray/raylet/node_manager.cc | 17 ++- src/ray/raylet/tests/node_manager_test.cc | 80 +++++++++++ src/ray/rpc/raylet/raylet_client.cc | 30 ++-- 17 files changed, 310 insertions(+), 129 deletions(-) create mode 100644 python/ray/tests/test_raylet_fault_tolerance.py diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD index 96da51621016..075863d7df4f 100644 --- a/python/ray/tests/BUILD +++ b/python/ray/tests/BUILD @@ -883,6 +883,7 @@ py_test_module_list( "test_multi_node.py", "test_placement_group_3.py", "test_placement_group_5.py", + "test_raylet_fault_tolerance.py", "test_reconstruction.py", "test_reconstruction_2.py", "test_runtime_env_working_dir_uri.py", diff --git a/python/ray/tests/test_failure_3.py b/python/ray/tests/test_failure_3.py index 13facd165098..428d2f5b00cc 100644 --- a/python/ray/tests/test_failure_3.py +++ b/python/ray/tests/test_failure_3.py @@ -55,7 +55,19 @@ def test_plasma_store_operation_after_raylet_dies(ray_start_cluster): (RayletDiedError). """ cluster = ray_start_cluster - cluster.add_node(num_cpus=1) + # Required for reducing the retry time of RequestWorkerLease. The call to kill the raylet will also kill the plasma store on the raylet + # meaning the call to put will fail. This will trigger worker death, and the driver will try to queue the task again and request a new worker lease + # from the now dead raylet. + system_configs = { + "raylet_rpc_server_reconnect_timeout_s": 0, + "health_check_initial_delay_ms": 0, + "health_check_timeout_ms": 10, + "health_check_failure_threshold": 1, + } + cluster.add_node( + num_cpus=1, + _system_config=system_configs, + ) cluster.wait_for_nodes() ray.init(address=cluster.address) diff --git a/python/ray/tests/test_failure_4.py b/python/ray/tests/test_failure_4.py index 7c3dd9552caa..ed68031ff614 100644 --- a/python/ray/tests/test_failure_4.py +++ b/python/ray/tests/test_failure_4.py @@ -543,7 +543,18 @@ def task(): def test_task_failure_when_driver_local_raylet_dies(ray_start_cluster): cluster = ray_start_cluster - head = cluster.add_node(num_cpus=4, resources={"foo": 1}) + # Required for reducing the retry time of RequestWorkerLease + system_configs = { + "raylet_rpc_server_reconnect_timeout_s": 0, + "health_check_initial_delay_ms": 0, + "health_check_timeout_ms": 10, + "health_check_failure_threshold": 1, + } + head = cluster.add_node( + num_cpus=4, + resources={"foo": 1}, + _system_config=system_configs, + ) cluster.wait_for_nodes() ray.init(address=cluster.address) diff --git a/python/ray/tests/test_object_manager.py b/python/ray/tests/test_object_manager.py index 81a09c0783b4..e4b99f94bd0c 100644 --- a/python/ray/tests/test_object_manager.py +++ b/python/ray/tests/test_object_manager.py @@ -539,6 +539,8 @@ def test_object_directory_failure(ray_start_cluster): "health_check_period_ms": 500, "health_check_failure_threshold": 10, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } # Add a head node. diff --git a/python/ray/tests/test_raylet_fault_tolerance.py b/python/ray/tests/test_raylet_fault_tolerance.py new file mode 100644 index 000000000000..21fcd1e84a5d --- /dev/null +++ b/python/ray/tests/test_raylet_fault_tolerance.py @@ -0,0 +1,48 @@ +import sys + +import pytest + +import ray +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy + + +@pytest.mark.parametrize("deterministic_failure", ["request", "response"]) +def test_request_worker_lease_idempotent( + monkeypatch, shutdown_only, deterministic_failure, ray_start_cluster +): + monkeypatch.setenv( + "RAY_testing_rpc_failure", + "NodeManagerService.grpc_client.RequestWorkerLease=1:" + + ("100:0" if deterministic_failure == "request" else "0:100"), + ) + + @ray.remote + def simple_task_1(): + return 0 + + @ray.remote + def simple_task_2(): + return 1 + + # Spin up a two-node cluster where we're targeting scheduling on the + # remote node via NodeAffinitySchedulingStrategy to test remote RequestWorkerLease + # calls. + cluster = ray_start_cluster + remote_node = cluster.add_node(num_cpus=1) + + result_ref1 = simple_task_1.options( + scheduling_strategy=NodeAffinitySchedulingStrategy( + node_id=remote_node.node_id, soft=False + ) + ).remote() + result_ref2 = simple_task_2.options( + scheduling_strategy=NodeAffinitySchedulingStrategy( + node_id=remote_node.node_id, soft=False + ) + ).remote() + + assert ray.get([result_ref1, result_ref2]) == [0, 1] + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/test_reconstruction.py b/python/ray/tests/test_reconstruction.py index f68d3c15d46c..6cf194cda0cc 100644 --- a/python/ray/tests/test_reconstruction.py +++ b/python/ray/tests/test_reconstruction.py @@ -22,6 +22,8 @@ def config(request): "health_check_period_ms": 100, "health_check_failure_threshold": 20, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } yield config diff --git a/python/ray/tests/test_reconstruction_2.py b/python/ray/tests/test_reconstruction_2.py index 42ac99a8baef..d211aafb0ed5 100644 --- a/python/ray/tests/test_reconstruction_2.py +++ b/python/ray/tests/test_reconstruction_2.py @@ -25,6 +25,8 @@ def config(request): "health_check_period_ms": 100, "health_check_failure_threshold": 20, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } yield config diff --git a/python/ray/tests/test_reconstruction_stress.py b/python/ray/tests/test_reconstruction_stress.py index 1dac4d58d9c7..e22360a9de36 100644 --- a/python/ray/tests/test_reconstruction_stress.py +++ b/python/ray/tests/test_reconstruction_stress.py @@ -16,6 +16,8 @@ def config(request): "health_check_period_ms": 100, "health_check_failure_threshold": 10, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } yield config diff --git a/python/ray/tests/test_reconstruction_stress_spill.py b/python/ray/tests/test_reconstruction_stress_spill.py index 434553fe9e84..6d1322c23c08 100644 --- a/python/ray/tests/test_reconstruction_stress_spill.py +++ b/python/ray/tests/test_reconstruction_stress_spill.py @@ -16,6 +16,8 @@ def config(request): "health_check_period_ms": 100, "health_check_failure_threshold": 10, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } yield config diff --git a/python/ray/tests/test_streaming_generator_2.py b/python/ray/tests/test_streaming_generator_2.py index 517c6f744c78..407dc83ddbdd 100644 --- a/python/ray/tests/test_streaming_generator_2.py +++ b/python/ray/tests/test_streaming_generator_2.py @@ -22,6 +22,8 @@ "task_retry_delay_ms": 100, "object_timeout_milliseconds": 200, "fetch_warn_timeout_milliseconds": 1000, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } diff --git a/python/ray/tests/test_streaming_generator_4.py b/python/ray/tests/test_streaming_generator_4.py index 45c31c525e73..fe1455e7b4f2 100644 --- a/python/ray/tests/test_streaming_generator_4.py +++ b/python/ray/tests/test_streaming_generator_4.py @@ -23,6 +23,8 @@ "task_retry_delay_ms": 100, "object_timeout_milliseconds": 200, "fetch_warn_timeout_milliseconds": 1000, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.cc b/src/ray/core_worker/task_submission/normal_task_submitter.cc index 826e19904139..60f87076e069 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.cc +++ b/src/ray/core_worker/task_submission/normal_task_submitter.cc @@ -93,14 +93,14 @@ void NormalTaskSubmitter::SubmitTask(TaskSpecification task_spec) { void NormalTaskSubmitter::AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr raylet_client, + const NodeID &node_id, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const LeaseID &lease_id) { core_worker_client_pool_->GetOrConnect(addr); int64_t expiration = current_time_ms() + lease_timeout_ms_; LeaseEntry new_lease_entry{ - std::move(raylet_client), expiration, assigned_resources, scheduling_key, lease_id}; + node_id, expiration, assigned_resources, scheduling_key, lease_id}; worker_to_lease_entry_.emplace(addr, new_lease_entry); auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; @@ -118,7 +118,7 @@ void NormalTaskSubmitter::ReturnWorkerLease(const rpc::Address &addr, auto &scheduling_key_entry = scheduling_key_entries_[scheduling_key]; RAY_CHECK(scheduling_key_entry.active_workers.size() >= 1); auto &lease_entry = worker_to_lease_entry_[addr]; - RAY_CHECK(lease_entry.raylet_client); + RAY_CHECK(!lease_entry.node_id.IsNil()); RAY_CHECK(!lease_entry.is_busy); // Decrement the number of active workers consuming tasks from the queue associated @@ -129,8 +129,9 @@ void NormalTaskSubmitter::ReturnWorkerLease(const rpc::Address &addr, // scheduling_key_entries_ hashmap. scheduling_key_entries_.erase(scheduling_key); } - - lease_entry.raylet_client->ReturnWorkerLease( + auto raylet_client = raylet_client_pool_->GetByID(lease_entry.node_id); + RAY_CHECK(raylet_client); + raylet_client->ReturnWorkerLease( addr.port(), lease_entry.lease_id, was_error, error_detail, worker_exiting); worker_to_lease_entry_.erase(addr); } @@ -143,7 +144,7 @@ void NormalTaskSubmitter::OnWorkerIdle( bool worker_exiting, const google::protobuf::RepeatedPtrField &assigned_resources) { auto &lease_entry = worker_to_lease_entry_[addr]; - if (!lease_entry.raylet_client) { + if (lease_entry.node_id.IsNil()) { return; } @@ -407,9 +408,8 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << NodeID::FromBinary(reply.worker_address().node_id()) << " with worker " << WorkerID::FromBinary(reply.worker_address().worker_id()); - AddWorkerLeaseClient(reply.worker_address(), - std::move(raylet_lease_client), + NodeID::FromBinary(reply.worker_address().node_id()), reply.resource_mapping(), scheduling_key, lease_id); @@ -446,43 +446,30 @@ void NormalTaskSubmitter::RequestNewWorkerIfNeeded(const SchedulingKey &scheduli << status.ToString(); RequestNewWorkerIfNeeded(scheduling_key); - } else { - if (status.IsRpcError() && - status.rpc_code() == grpc::StatusCode::UNAVAILABLE) { - RAY_LOG(WARNING) - << "The worker failed to receive a response from the local " - << "raylet because the raylet is unavailable (crashed). " - << "Error: " << status; - if (worker_type_ == WorkerType::WORKER) { - // Exit the worker so that caller can retry somewhere else. - RAY_LOG(WARNING) << "Terminating the worker due to local raylet death"; - QuickExit(); - } - RAY_CHECK(worker_type_ == WorkerType::DRIVER); - error_type = rpc::ErrorType::LOCAL_RAYLET_DIED; - error_status = status; - // Grpc errors are not helpful at all. So we are overwriting it. - std::stringstream ss; - ss << "The worker failed to receive a response from the local raylet" - << "(id: " << NodeID::FromBinary(raylet_address.node_id()).Hex() - << " ,ip: " << raylet_address.ip_address() << ") " - << "because the raylet is " - "unavailable (crashed)."; - error_info.set_error_message(ss.str()); - tasks_to_fail = std::move(sched_entry.task_queue); - sched_entry.task_queue.clear(); - if (sched_entry.CanDelete()) { - scheduling_key_entries_.erase(scheduling_key); - } - } else { - RAY_LOG(WARNING) - << "The worker failed to receive a response from the local raylet, but " - "raylet is still alive. Try again on a local node. Error: " - << status; - // TODO(sang): Maybe we should raise FATAL error if it happens too many - // times. - RequestNewWorkerIfNeeded(scheduling_key); + RAY_LOG(WARNING) << "The worker failed to receive a response from the local " + << "raylet because the raylet is unavailable (crashed). " + << "Error: " << status; + if (worker_type_ == WorkerType::WORKER) { + // Exit the worker so that caller can retry somewhere else. + RAY_LOG(WARNING) << "Terminating the worker due to local raylet death"; + QuickExit(); + } + RAY_CHECK(worker_type_ == WorkerType::DRIVER); + error_type = rpc::ErrorType::LOCAL_RAYLET_DIED; + error_status = status; + // Grpc errors are not helpful at all. So we are overwriting it. + std::stringstream ss; + ss << "The worker failed to receive a response from the local raylet" + << "(id: " << NodeID::FromBinary(raylet_address.node_id()).Hex() + << " ,ip: " << raylet_address.ip_address() << ") " + << "because the raylet is " + "unavailable (crashed)."; + error_info.set_error_message(ss.str()); + tasks_to_fail = std::move(sched_entry.task_queue); + sched_entry.task_queue.clear(); + if (sched_entry.CanDelete()) { + scheduling_key_entries_.erase(scheduling_key); } } } @@ -584,9 +571,9 @@ void NormalTaskSubmitter::PushNormalTask( failed_tasks_pending_failure_cause_.erase(task_id); }; auto &cur_lease_entry = worker_to_lease_entry_[addr]; - RAY_CHECK(cur_lease_entry.raylet_client); - cur_lease_entry.raylet_client->GetWorkerFailureCause(cur_lease_entry.lease_id, - callback); + auto raylet_client = raylet_client_pool_->GetByID(cur_lease_entry.node_id); + RAY_CHECK(raylet_client); + raylet_client->GetWorkerFailureCause(cur_lease_entry.lease_id, callback); } OnWorkerIdle(addr, scheduling_key, diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index f7b385f05a36..86dfe685689f 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -194,7 +194,7 @@ class NormalTaskSubmitter { /// Set up client state for newly granted worker lease. void AddWorkerLeaseClient( const rpc::Address &addr, - std::shared_ptr raylet_client, + const NodeID &node_id, const google::protobuf::RepeatedPtrField &assigned_resources, const SchedulingKey &scheduling_key, const LeaseID &lease_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_); @@ -276,14 +276,14 @@ class NormalTaskSubmitter { const JobID job_id_; /// A LeaseEntry struct is used to condense the metadata about a single executor: - /// (1) The lease client through which the worker should be returned + /// (1) The node id of the leased worker. /// (2) The expiration time of a worker's lease. /// (3) Whether the worker has assigned task to do. - /// (5) The resources assigned to the worker - /// (6) The SchedulingKey assigned to tasks that will be sent to the worker - /// (7) The task id used to obtain the worker lease. + /// (4) The resources assigned to the worker + /// (5) The SchedulingKey assigned to tasks that will be sent to the worker + /// (6) The task id used to obtain the worker lease. struct LeaseEntry { - std::shared_ptr raylet_client; + NodeID node_id; int64_t lease_expiration_time; google::protobuf::RepeatedPtrField assigned_resources; SchedulingKey scheduling_key; diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index f3c741b5a5f4..ec3ae6d7b93f 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -311,7 +311,8 @@ class MockRayletClient : public FakeRayletClient { bool GrantWorkerLease( const std::string &address, int port, - const NodeID &retry_at_node_id, + const NodeID &granted_node_id, + const NodeID &retry_at_node_id = NodeID::Nil(), bool cancel = false, std::string worker_id = WorkerID::FromRandom().Binary(), bool reject = false, @@ -330,7 +331,7 @@ class MockRayletClient : public FakeRayletClient { } else { reply.mutable_worker_address()->set_ip_address(address); reply.mutable_worker_address()->set_port(port); - reply.mutable_worker_address()->set_node_id(retry_at_node_id.Binary()); + reply.mutable_worker_address()->set_node_id(granted_node_id.Binary()); reply.mutable_worker_address()->set_worker_id(worker_id); } rpc::ClientCallback callback = PopCallbackInLock(); @@ -563,7 +564,7 @@ TEST_F(NormalTaskSubmitterTest, TestLocalityAwareSubmitOneTask) { ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); ASSERT_EQ(task_manager->num_tasks_complete, 0); ASSERT_EQ(task_manager->num_tasks_failed, 0); @@ -594,7 +595,7 @@ TEST_F(NormalTaskSubmitterTest, TestSubmitOneTask) { ASSERT_EQ(raylet_client->num_workers_returned, 0); ASSERT_EQ(worker_client->callbacks.size(), 0); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); ASSERT_EQ(task_manager->num_tasks_complete, 0); ASSERT_EQ(task_manager->num_tasks_failed, 0); @@ -620,7 +621,7 @@ TEST_F(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { task.GetMutableMessage().set_retry_exceptions(true); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Simulate an application-level error. ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); ASSERT_EQ(raylet_client->num_workers_returned, 1); @@ -634,7 +635,7 @@ TEST_F(NormalTaskSubmitterTest, TestRetryTaskApplicationLevelError) { task.GetMutableMessage().set_retry_exceptions(false); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Simulate an application-level error. ASSERT_TRUE(worker_client->ReplyPushTask(Status::OK(), false, true)); ASSERT_EQ(raylet_client->num_workers_returned, 2); @@ -656,7 +657,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleTaskFailure) { TaskSpecification task = BuildEmptyTaskSpec(); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Simulate a system failure, i.e., worker died unexpectedly. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); ASSERT_TRUE(raylet_client->ReplyGetWorkerFailureCause()); @@ -684,7 +685,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancellationWhileHandlingTaskFailure) { TaskSpecification task = BuildEmptyTaskSpec(); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Simulate a system failure, i.e., worker died unexpectedly so that // GetWorkerFailureCause is called. ASSERT_TRUE(worker_client->ReplyPushTask(Status::IOError("oops"))); @@ -716,6 +717,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease( "", 0, + local_node_id, NodeID::Nil(), true, "", @@ -730,6 +732,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleUnschedulableTask) { ASSERT_TRUE(raylet_client->GrantWorkerLease( "", 0, + local_node_id, NodeID::Nil(), true, "", @@ -766,6 +769,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { ASSERT_TRUE(raylet_client->GrantWorkerLease( "", 0, + local_node_id, NodeID::Nil(), true, "", @@ -780,6 +784,7 @@ TEST_F(NormalTaskSubmitterTest, TestHandleRuntimeEnvSetupFailed) { ASSERT_TRUE(raylet_client->GrantWorkerLease( "", 0, + local_node_id, NodeID::Nil(), true, "", @@ -862,7 +867,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { // Grant the first round of leases. for (int i = 0; i < concurrency; i++) { - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), i + 1); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, concurrency + i + 1); ASSERT_EQ(raylet_client->num_workers_requested, concurrency + i + 1); @@ -870,7 +875,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeases) { } for (int i = 0; i < concurrency; i++) { ASSERT_TRUE( - raylet_client->GrantWorkerLease("localhost", concurrency + i, NodeID::Nil())); + raylet_client->GrantWorkerLease("localhost", concurrency + i, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), concurrency + i + 1); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, tasks.size()); ASSERT_EQ(raylet_client->num_workers_requested, tasks.size()); @@ -917,14 +922,14 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 1); // Max concurrency is still 1. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 2); // Increase max concurrency. Should request leases up to the max concurrency. rateLimiter->limit_ = concurrency; - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2 + concurrency); ASSERT_EQ(raylet_client->num_workers_requested, 2 + concurrency); ASSERT_EQ(raylet_client->reported_backlog_size, @@ -935,7 +940,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { // concurrency. rateLimiter->limit_ = 1; for (int i = 0; i < concurrency - 1; i++) { - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2 + concurrency); ASSERT_EQ(raylet_client->num_workers_requested, 2 + concurrency); ASSERT_EQ(raylet_client->reported_backlog_size, @@ -948,14 +953,14 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamic) { raylet_client->num_workers_requested = 0; for (int i = 0; i < num_tasks_remaining; i++) { ASSERT_TRUE( - raylet_client->GrantWorkerLease("localhost", concurrency + i, NodeID::Nil())); + raylet_client->GrantWorkerLease("localhost", concurrency + i, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, i + 1); ASSERT_EQ(raylet_client->num_workers_requested, i + 1); } lease_policy_ptr->num_lease_policy_consults = 0; raylet_client->num_workers_requested = 0; - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 2000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 2000, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 0); ASSERT_EQ(raylet_client->num_workers_requested, 0); @@ -1002,7 +1007,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 1); // Max concurrency is still 1. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->reported_backlog_size, tasks.size() - 2); @@ -1010,7 +1015,9 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) // Increase max concurrency. rateLimiter->limit_ = concurrency; // The outstanding lease request is spilled back to a remote raylet. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::FromRandom())); + auto remote_node_id = NodeID::FromRandom(); + ASSERT_TRUE( + raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil(), remote_node_id)); // We should request one lease request from the spillback raylet and then the // rest from the raylet returned by the lease policy. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, concurrency + 1); @@ -1023,7 +1030,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) // concurrency. rateLimiter->limit_ = 1; for (int i = 0; i < concurrency - 1; i++) { - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", i, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, concurrency + 1); ASSERT_EQ(raylet_client->num_workers_requested, 2 + concurrency); ASSERT_EQ(raylet_client->reported_backlog_size, @@ -1036,14 +1043,14 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentWorkerLeasesDynamicWithSpillback) raylet_client->num_workers_requested = 0; for (int i = 0; i < num_tasks_remaining; i++) { ASSERT_TRUE( - raylet_client->GrantWorkerLease("localhost", concurrency + i, NodeID::Nil())); + raylet_client->GrantWorkerLease("localhost", concurrency + i, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, i + 1); ASSERT_EQ(raylet_client->num_workers_requested, i + 1); } lease_policy_ptr->num_lease_policy_consults = 0; raylet_client->num_workers_requested = 0; - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 2000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 2000, local_node_id)); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 0); ASSERT_EQ(raylet_client->num_workers_requested, 0); @@ -1079,21 +1086,21 @@ TEST_F(NormalTaskSubmitterTest, TestSubmitMultipleTasks) { ASSERT_EQ(raylet_client->reported_backlog_size, 0); // Task 1 is pushed; worker 2 is requested. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); ASSERT_EQ(raylet_client->reported_backlog_size, 1); // Task 2 is pushed; worker 3 is requested. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 2); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 3); ASSERT_EQ(raylet_client->num_workers_requested, 3); ASSERT_EQ(raylet_client->reported_backlog_size, 0); // Task 3 is pushed; no more workers requested. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1002, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1002, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 3); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 3); ASSERT_EQ(raylet_client->num_workers_requested, 3); @@ -1129,7 +1136,7 @@ TEST_F(NormalTaskSubmitterTest, TestReuseWorkerLease) { ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_requested, 2); @@ -1152,7 +1159,7 @@ TEST_F(NormalTaskSubmitterTest, TestReuseWorkerLease) { ASSERT_EQ(raylet_client->num_workers_returned, 1); // The second lease request is returned immediately. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 2); ASSERT_EQ(raylet_client->num_workers_returned, 2); @@ -1180,7 +1187,7 @@ TEST_F(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); // Task 1 finishes, Task 2 is scheduled on the same worker. ASSERT_TRUE(worker_client->ReplyPushTask()); // Task 2 finishes, Task 3 is scheduled on the same worker. @@ -1202,7 +1209,8 @@ TEST_F(NormalTaskSubmitterTest, TestRetryLeaseCancellation) { ASSERT_EQ(raylet_client->num_leases_canceled, i); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); ASSERT_EQ(raylet_client->num_leases_canceled, i); - ASSERT_TRUE(raylet_client->GrantWorkerLease("", 0, NodeID::Nil(), /*cancel=*/true)); + ASSERT_TRUE(raylet_client->GrantWorkerLease( + "", 0, local_node_id, NodeID::Nil(), /*cancel=*/true)); ASSERT_EQ(worker_client->callbacks.size(), 0); // The canceled lease is not returned. ASSERT_EQ(raylet_client->num_workers_returned, 1); @@ -1226,7 +1234,7 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { submitter.SubmitTask(task2); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Task 1 finishes, Task 2 is scheduled on the same worker. ASSERT_TRUE(worker_client->ReplyPushTask()); @@ -1245,11 +1253,12 @@ TEST_F(NormalTaskSubmitterTest, TestConcurrentCancellationAndSubmission) { // Task 2's lease request is canceled, a new worker is requested for task 3. ASSERT_TRUE(raylet_client->ReplyCancelWorkerLease()); ASSERT_EQ(raylet_client->num_workers_requested, 2); - ASSERT_TRUE(raylet_client->GrantWorkerLease("", 0, NodeID::Nil(), /*cancel=*/true)); + ASSERT_TRUE(raylet_client->GrantWorkerLease( + "", 0, local_node_id, NodeID::Nil(), /*cancel=*/true)); ASSERT_EQ(raylet_client->num_workers_requested, 3); // Task 3 finishes, all workers returned. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 2); ASSERT_FALSE(raylet_client->ReplyCancelWorkerLease()); @@ -1271,7 +1280,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); ASSERT_EQ(raylet_client->num_workers_requested, 2); @@ -1283,7 +1292,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReusedOnError) { ASSERT_EQ(raylet_client->num_workers_disconnected, 1); // Task 2 runs successfully on the second worker. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(raylet_client->num_workers_disconnected, 1); @@ -1306,7 +1315,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerNotReturnedOnExit) { ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); // Task 1 finishes with exit status; the worker is not returned. @@ -1347,15 +1356,16 @@ TEST_F(NormalTaskSubmitterTest, TestSpillback) { // Spillback to a remote node. auto remote_node_id = NodeID::FromRandom(); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_node_id)); + ASSERT_TRUE( + raylet_client->GrantWorkerLease("localhost", 7777, NodeID::Nil(), remote_node_id)); ASSERT_EQ(remote_raylet_clients.count(7777), 1); // Confirm that lease policy is not consulted on spillback. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); // There should be no more callbacks on the local client. - ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, NodeID::Nil())); + ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, local_node_id)); // Trigger retry at the remote node. ASSERT_TRUE( - remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); + remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, remote_node_id)); // The worker is returned to the remote node, not the local one. ASSERT_TRUE(worker_client->ReplyPushTask()); @@ -1404,27 +1414,33 @@ TEST_F(NormalTaskSubmitterTest, TestSpillbackRoundTrip) { // Spillback to a remote node. auto remote_node_id = NodeID::FromRandom(); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 7777, remote_node_id)); + rpc::Address remote_address; + remote_address.set_node_id(remote_node_id.Binary()); + remote_address.set_ip_address("localhost"); + remote_address.set_port(7777); + raylet_client_pool->GetOrConnectByAddress(remote_address); + ASSERT_TRUE( + raylet_client->GrantWorkerLease("localhost", 7777, NodeID::Nil(), remote_node_id)); ASSERT_EQ(remote_raylet_clients.count(7777), 1); ASSERT_EQ(remote_raylet_clients[7777]->num_workers_requested, 1); // Confirm that the spillback lease request has grant_or_reject set to true. ASSERT_EQ(remote_raylet_clients[7777]->num_grant_or_reject_leases_requested, 1); // Confirm that lease policy is not consulted on spillback. ASSERT_EQ(lease_policy_ptr->num_lease_policy_consults, 1); - ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, NodeID::Nil())); + ASSERT_FALSE(raylet_client->GrantWorkerLease("remote", 1234, local_node_id)); // Trigger a rejection back to the local node. ASSERT_TRUE(remote_raylet_clients[7777]->GrantWorkerLease( - "local", 1234, local_node_id, false, "", /*reject=*/true)); + "local", 1234, remote_node_id, NodeID::Nil(), false, "", /*reject=*/true)); // We should not have created another lease client to the local raylet. ASSERT_EQ(remote_raylet_clients.size(), 1); // There should be no more callbacks on the remote node. ASSERT_FALSE( - remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, NodeID::Nil())); + remote_raylet_clients[7777]->GrantWorkerLease("remote", 1234, remote_node_id)); // The worker is returned to the local node. ASSERT_EQ(raylet_client->num_grant_or_reject_leases_requested, 0); ASSERT_EQ(raylet_client->num_workers_requested, 2); - ASSERT_TRUE(raylet_client->GrantWorkerLease("local", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("local", 1234, local_node_id)); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(raylet_client->num_workers_returned, 1); ASSERT_EQ(remote_raylet_clients[7777]->num_workers_returned, 0); @@ -1451,6 +1467,7 @@ void TestSchedulingKey(const std::shared_ptr store, const TaskSpecification &same2, const TaskSpecification &different) { rpc::Address address; + auto local_node_id = NodeID::FromRandom(); auto raylet_client = std::make_shared(); auto raylet_client_pool = std::make_shared( [&](const rpc::Address &addr) { return raylet_client; }); @@ -1460,7 +1477,7 @@ void TestSchedulingKey(const std::shared_ptr store, auto task_manager = std::make_unique(); auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); - lease_policy->SetNodeID(NodeID::FromRandom()); + lease_policy->SetNodeID(local_node_id); instrumented_io_context io_context; NormalTaskSubmitter submitter( address, @@ -1470,7 +1487,7 @@ void TestSchedulingKey(const std::shared_ptr store, std::move(lease_policy), store, *task_manager, - NodeID::Nil(), + local_node_id, WorkerType::WORKER, kLongTimeout, actor_creator, @@ -1488,7 +1505,7 @@ void TestSchedulingKey(const std::shared_ptr store, /*timeout_ms=*/1000); // same1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 1); // Another worker is requested because same2 is pending. ASSERT_EQ(raylet_client->num_workers_requested, 3); @@ -1504,7 +1521,7 @@ void TestSchedulingKey(const std::shared_ptr store, ASSERT_TRUE(raylet_client->ReplyCancelWorkerLease()); // different is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); ASSERT_EQ(worker_client->callbacks.size(), 2); ASSERT_EQ(raylet_client->num_workers_requested, 3); @@ -1521,7 +1538,8 @@ void TestSchedulingKey(const std::shared_ptr store, ASSERT_EQ(raylet_client->num_leases_canceled, 1); // Trigger reply to RequestWorkerLease to remove the canceled pending lease request - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1002, NodeID::Nil(), true)); + ASSERT_TRUE(raylet_client->GrantWorkerLease( + "localhost", 1002, local_node_id, NodeID::Nil(), true)); ASSERT_EQ(raylet_client->num_workers_returned, 2); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These @@ -1694,7 +1712,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { ASSERT_EQ(raylet_client->num_workers_requested, 1); // Task 1 is pushed. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, local_node_id)); ASSERT_EQ(raylet_client->num_workers_requested, 2); // Task 1 finishes with failure; the worker is returned due to the error even though @@ -1706,7 +1724,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { // Task 2 runs successfully on the second worker; the worker is returned due to the // timeout. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1001, local_node_id)); std::this_thread::sleep_for( std::chrono::milliseconds(10)); // Sleep for 10ms, causing the lease to time out. ASSERT_TRUE(worker_client->ReplyPushTask()); @@ -1715,7 +1733,7 @@ TEST_F(NormalTaskSubmitterTest, TestWorkerLeaseTimeout) { // Task 3 runs successfully on the third worker; the worker is returned even though it // hasn't timed out. - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1002, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1002, local_node_id)); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(worker_client->callbacks.size(), 0); ASSERT_EQ(raylet_client->num_workers_returned, 2); @@ -1734,7 +1752,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { TaskSpecification task = BuildEmptyTaskSpec(); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Try force kill, exiting the worker submitter.CancelTask(task, true, false); @@ -1751,7 +1769,7 @@ TEST_F(NormalTaskSubmitterTest, TestKillExecutingTask) { task.GetMutableMessage().set_task_id( TaskID::ForNormalTask(JobID::Nil(), TaskID::Nil(), 1).Binary()); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); // Try non-force kill, worker returns normally submitter.CancelTask(task, false, false); @@ -1787,7 +1805,8 @@ TEST_F(NormalTaskSubmitterTest, TestKillPendingTask) { ASSERT_TRUE(raylet_client->ReplyCancelWorkerLease()); // Trigger reply to RequestWorkerLease to remove the canceled pending lease request - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1000, NodeID::Nil(), true)); + ASSERT_TRUE(raylet_client->GrantWorkerLease( + "localhost", 1000, local_node_id, NodeID::Nil(), true)); // Check that there are no entries left in the scheduling_key_entries_ hashmap. These // would otherwise cause a memory leak. @@ -1824,7 +1843,7 @@ TEST_F(NormalTaskSubmitterTest, TestQueueGeneratorForResubmit) { CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task)); ASSERT_TRUE(worker_client->ReplyPushTask()); ASSERT_EQ(task_manager->num_tasks_complete, 0); @@ -1839,7 +1858,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) CreateNormalTaskSubmitter(std::make_shared(1)); TaskSpecification task = BuildEmptyTaskSpec(); submitter.SubmitTask(task); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); submitter.CancelTask(task, /*force_kill=*/false, /*recursive=*/true); ASSERT_FALSE(submitter.QueueGeneratorForResubmit(task)); worker_client->ReplyCancelTask(); @@ -1856,7 +1875,7 @@ TEST_F(NormalTaskSubmitterTest, TestCancelBeforeAfterQueueGeneratorForResubmit) // resubmit. TaskSpecification task2 = BuildEmptyTaskSpec(); submitter.SubmitTask(task2); - ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, NodeID::Nil())); + ASSERT_TRUE(raylet_client->GrantWorkerLease("localhost", 1234, local_node_id)); ASSERT_TRUE(submitter.QueueGeneratorForResubmit(task2)); submitter.CancelTask(task2, /*force_kill=*/false, /*recursive=*/true); ASSERT_TRUE(worker_client->ReplyPushTask()); diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 3503f3d3d7f4..b48290b51adf 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1627,6 +1627,21 @@ void NodeManager::HandleReportWorkerBacklog( void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest request, rpc::RequestWorkerLeaseReply *reply, rpc::SendReplyCallback send_reply_callback) { + auto lease_id = LeaseID::FromBinary(request.lease_spec().lease_id()); + // If the lease is already granted, this is a retry and forward the address of the + // already leased worker to use. + if (leased_workers_.contains(lease_id)) { + const auto &worker = leased_workers_[lease_id]; + RAY_LOG(DEBUG) << "Lease " << lease_id + << " is already granted with worker: " << worker->WorkerId(); + reply->set_worker_pid(worker->GetProcess().GetId()); + reply->mutable_worker_address()->set_ip_address(worker->IpAddress()); + reply->mutable_worker_address()->set_port(worker->Port()); + reply->mutable_worker_address()->set_worker_id(worker->WorkerId().Binary()); + reply->mutable_worker_address()->set_node_id(self_node_id_.Binary()); + send_reply_callback(Status::OK(), nullptr, nullptr); + return; + } RayLease lease{std::move(*request.mutable_lease_spec())}; const auto caller_worker = WorkerID::FromBinary(lease.GetLeaseSpecification().CallerAddress().worker_id()); @@ -1671,7 +1686,7 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques RAY_LOG(DEBUG).WithField(actor_id) << "Reject leasing as the raylet has no enough resources. " "normal_task_resources = " - << normal_task_resources.DebugString() << ", local_resoruce_view = " + << normal_task_resources.DebugString() << ", local_resource_view = " << cluster_resource_scheduler_.GetClusterResourceManager() .GetNodeResourceViewString( scheduling::NodeID(self_node_id_.Binary())); diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 5dce1b2d3ec7..8e4217ea9dfd 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -1002,6 +1002,86 @@ INSTANTIATE_TEST_SUITE_P(NodeManagerReturnWorkerLeaseIdempotentVariations, NodeManagerReturnWorkerLeaseIdempotentTest, testing::Combine(testing::Bool(), testing::Bool())); +TEST_F(NodeManagerTest, TestHandleRequestWorkerLeaseIdempotent) { + auto lease_spec = BuildLeaseSpec({}); + rpc::RequestWorkerLeaseRequest request; + rpc::RequestWorkerLeaseReply reply1; + rpc::RequestWorkerLeaseReply reply2; + LeaseID lease_id = LeaseID::FromRandom(); + lease_spec.GetMutableMessage().set_lease_id(lease_id.Binary()); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); + request.set_backlog_size(1); + request.set_grant_or_reject(true); + request.set_is_selected_based_on_locality(true); + auto worker = std::make_shared(WorkerID::FromRandom(), 10); + PopWorkerCallback pop_worker_callback; + EXPECT_CALL(mock_worker_pool_, PopWorker(_, _)) + .Times(1) + .WillOnce([&](const LeaseSpecification &ls, const PopWorkerCallback &callback) { + pop_worker_callback = callback; + }); + node_manager_->HandleRequestWorkerLease( + request, + &reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + pop_worker_callback(worker, PopWorkerStatus::OK, ""); + ASSERT_EQ(leased_workers_.size(), 1); + ASSERT_EQ(leased_workers_[lease_id]->GetGrantedLeaseId(), lease_id); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); + node_manager_->HandleRequestWorkerLease( + request, + &reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(leased_workers_.size(), 1); + ASSERT_EQ(leased_workers_[lease_id]->GetGrantedLeaseId(), lease_id); + ASSERT_EQ(leased_workers_[lease_id]->WorkerId(), + WorkerID::FromBinary(reply1.worker_address().worker_id())); + ASSERT_EQ(reply1.worker_address(), reply2.worker_address()); +} + +TEST_F(NodeManagerTest, TestHandleRequestWorkerLeaseInfeasibleIdempotent) { + auto lease_spec = BuildLeaseSpec({{"CPU", 1}}); + lease_spec.GetMutableMessage() + .mutable_scheduling_strategy() + ->mutable_node_affinity_scheduling_strategy() + ->set_soft(false); // Hard constraint + + rpc::RequestWorkerLeaseRequest request; + rpc::RequestWorkerLeaseReply reply1; + rpc::RequestWorkerLeaseReply reply2; + LeaseID lease_id = LeaseID::FromRandom(); + lease_spec.GetMutableMessage().set_lease_id(lease_id.Binary()); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); + request.set_backlog_size(1); + request.set_grant_or_reject(true); + request.set_is_selected_based_on_locality(true); + node_manager_->HandleRequestWorkerLease( + request, + &reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(leased_workers_.size(), 0); + ASSERT_EQ(reply1.canceled(), true); + ASSERT_EQ(reply1.failure_type(), + rpc::RequestWorkerLeaseReply::SCHEDULING_CANCELLED_UNSCHEDULABLE); + request.mutable_lease_spec()->CopyFrom(lease_spec.GetMessage()); + node_manager_->HandleRequestWorkerLease( + request, + &reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + ASSERT_EQ(leased_workers_.size(), 0); + ASSERT_EQ(reply1.canceled(), reply2.canceled()); + ASSERT_EQ(reply1.failure_type(), reply2.failure_type()); + ASSERT_EQ(reply1.scheduling_failure_message(), reply2.scheduling_failure_message()); +} + size_t GetPendingLeaseWorkerCount(const LocalLeaseManager &local_lease_manager) { return local_lease_manager.waiting_lease_queue_.size() + local_lease_manager.leases_to_grant_.size(); diff --git a/src/ray/rpc/raylet/raylet_client.cc b/src/ray/rpc/raylet/raylet_client.cc index de28d5b8e09a..622271f4a30a 100644 --- a/src/ray/rpc/raylet/raylet_client.cc +++ b/src/ray/rpc/raylet/raylet_client.cc @@ -53,24 +53,18 @@ void RayletClient::RequestWorkerLease( const rpc::ClientCallback &callback, const int64_t backlog_size, const bool is_selected_based_on_locality) { - google::protobuf::Arena arena; - auto request = - google::protobuf::Arena::CreateMessage(&arena); - // The unsafe allocating here is actually safe because the life-cycle of - // lease_spec is longer than request. - // Request will be sent before the end of this call, and after that, it won't be - // used any more. - request->unsafe_arena_set_allocated_lease_spec( - const_cast(&lease_spec)); - request->set_grant_or_reject(grant_or_reject); - request->set_backlog_size(backlog_size); - request->set_is_selected_based_on_locality(is_selected_based_on_locality); - INVOKE_RPC_CALL(NodeManagerService, - RequestWorkerLease, - *request, - callback, - grpc_client_, - /*method_timeout_ms*/ -1); + rpc::RequestWorkerLeaseRequest request; + request.mutable_lease_spec()->CopyFrom(lease_spec); + request.set_grant_or_reject(grant_or_reject); + request.set_backlog_size(backlog_size); + request.set_is_selected_based_on_locality(is_selected_based_on_locality); + INVOKE_RETRYABLE_RPC_CALL(retryable_grpc_client_, + NodeManagerService, + RequestWorkerLease, + request, + callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::PrestartWorkers( From fae12624f03a637d2a33c7926a0293a649351d28 Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 9 Sep 2025 03:48:59 +0800 Subject: [PATCH 1095/1566] [DOC] Fix documentation issues in _includes and _templates directories (#56272) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/_includes/_help.rst | 2 +- doc/source/_templates/csat.html | 4 ++-- doc/source/_templates/template.ipynb | 14 +++++++------- doc/source/_templates/template.md | 14 +++++++------- 4 files changed, 17 insertions(+), 17 deletions(-) diff --git a/doc/source/_includes/_help.rst b/doc/source/_includes/_help.rst index 05f46e7dcdf7..aecc526fd21c 100644 --- a/doc/source/_includes/_help.rst +++ b/doc/source/_includes/_help.rst @@ -3,7 +3,7 @@ You can post questions or issues or feedback through the following channels: 1. `Discussion Board`_: For **questions about Ray usage** or **feature requests**. 2. `GitHub Issues`_: For **bug reports**. 3. `Ray Slack`_: For **getting in touch** with Ray maintainers. -4. `StackOverflow`_: Use the [ray] tag **questions about Ray**. +4. `StackOverflow`_: Use the [ray] tag for **questions about Ray**. .. _`Discussion Board`: https://discuss.ray.io/ .. _`GitHub Issues`: https://github.com/ray-project/ray/issues diff --git a/doc/source/_templates/csat.html b/doc/source/_templates/csat.html index 368af0d322d2..852245d7bd50 100644 --- a/doc/source/_templates/csat.html +++ b/doc/source/_templates/csat.html @@ -8,13 +8,13 @@ - Yes + Yes
    - No + No
    diff --git a/doc/source/_templates/template.ipynb b/doc/source/_templates/template.ipynb index b1778ed9fb97..6ea5ba018ab4 100644 --- a/doc/source/_templates/template.ipynb +++ b/doc/source/_templates/template.ipynb @@ -15,9 +15,9 @@ "If you want to learn more about the MyST parser, see the\n", "[MyST documentation](https://myst-parser.readthedocs.io/en/latest/).\n", "\n", - "MyST is common markdown compliant, so if you can use plain markdown here.\n", - "In case you need to execute restructured text (`rSt`) directives, you can use `{eval-rst}` to execute the code.\n", - "For instance, a here's a note written in rSt:\n", + "MyST is CommonMark compliant, so you can use plain markdown here.\n", + "In case you need to execute restructured text (rST) directives, you can use `{eval-rst}` to execute the code.\n", + "For instance, here's a note written in rST:\n", "\n", "```{eval-rst}\n", ".. note::\n", @@ -69,10 +69,10 @@ "source": [ "## Hiding and removing cells\n", "\n", - "You can hide cells, so that they will toggle when you click on the cell header.\n", + "You can hide cells, so that they toggle when you click the cell header.\n", "You can use different `:tags:` like `hide-cell`, `hide-input`, or `hide-output` to hide cell content,\n", - "and you can use `remove-cell`, `remove-input`, or `remove-output` to remove the cell completely when rendered.\n", - "Those cells will still show up in the notebook itself." + "and you can use `remove-cell`, `remove-input`, or `remove-output` to completely remove the cell when rendered.\n", + "Those cells still show up in the notebook itself." ] }, { @@ -107,7 +107,7 @@ "And this is a note.\n", ":::\n", "\n", - "The following cell will be removed and not render:" + "The following cell doesn't render:" ] }, { diff --git a/doc/source/_templates/template.md b/doc/source/_templates/template.md index 8e1cc0c58655..cf330f14eba3 100644 --- a/doc/source/_templates/template.md +++ b/doc/source/_templates/template.md @@ -20,9 +20,9 @@ For more information on MyST notebooks, see the If you want to learn more about the MyST parser, see the [MyST documentation](https://myst-parser.readthedocs.io/en/latest/). -MyST is common markdown compliant, so if you can use plain markdown here. -In case you need to execute restructured text (`rSt`) directives, you can use `{eval-rst}` to execute the code. -For instance, a here's a note written in rSt: +MyST is CommonMark compliant, so you can use plain markdown here. +In case you need to execute restructured text (rST) directives, you can use `{eval-rst}` to execute the code. +For instance, here's a note written in rST: ```{eval-rst} .. note:: @@ -65,10 +65,10 @@ checkpoint_path = train_ppo_model() ## Hiding and removing cells -You can hide cells, so that they will toggle when you click on the cell header. +You can hide cells, so that they toggle when you click the cell header. You can use different `:tags:` like `hide-cell`, `hide-input`, or `hide-output` to hide cell content, -and you can use `remove-cell`, `remove-input`, or `remove-output` to remove the cell completely when rendered. -Those cells will still show up in the notebook itself. +and you can use `remove-cell`, `remove-input`, or `remove-output` to completely remove the cell when rendered. +Those cells still show up in the notebook itself. ```{code-cell} python3 :tags: [hide-cell] @@ -88,7 +88,7 @@ Here's a quick tip. And this is a note. ::: -The following cell will be removed and not render: +The following cell doesn't render: ```{code-cell} python3 :tags: [remove-cell] From b0c562b9292bd8952e502feb44aee8d3d14a44ff Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 8 Sep 2025 13:40:51 -0700 Subject: [PATCH 1096/1566] [release-test][data][train] Preload a subset of modules for torch dataloader forkserver multiprocessing (#56343) For the training ingest release test baseline using torch dataloader multiprocessing, we preload all imported modules and submodules. This can be brittle and run into issues if any of the imported modules cannot be forked safely. To make this more robust, I only preload modules in an allowlist of a few heavy imports that take a long time. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- .../benchmark/torch_dataloader_factory.py | 95 ++++++------------- 1 file changed, 31 insertions(+), 64 deletions(-) diff --git a/release/train_tests/benchmark/torch_dataloader_factory.py b/release/train_tests/benchmark/torch_dataloader_factory.py index a4fd4d9e868c..079a1ecc5d40 100644 --- a/release/train_tests/benchmark/torch_dataloader_factory.py +++ b/release/train_tests/benchmark/torch_dataloader_factory.py @@ -1,7 +1,6 @@ from typing import Dict, Iterator, Tuple import logging from abc import ABC, abstractmethod -import sys import multiprocessing import torch @@ -100,26 +99,20 @@ def get_iterable_datasets(self) -> Dict[str, IterableDataset]: def _create_multiprocessing_context(self): # Importing libs in torch dataloader worker subprocesses is very slow. - # Preload all imported modules to speed up subprocess forking. - imported_modules = list(sys.modules.keys()) + # Preload some modules to speed up subprocess forking. ctx = multiprocessing.get_context("forkserver") - ctx.set_forkserver_preload(imported_modules) + modules = ["torch", "torchvision", "pandas", "numpy", "boto3", "fsspec"] + ctx.set_forkserver_preload(modules) return ctx - def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: - """Create a DataLoader for training data. - - Returns: - An iterator that yields (image, label) tensors for training - """ + def _create_dataloader(self, dataset_key: DatasetKey, batch_size: int): worker_rank = ray.train.get_context().get_world_rank() - logger.info(f"Worker {worker_rank}: Creating train dataloader") - dataloader_config = self.get_dataloader_config() - device = self._get_device() # Create dataset and dataloader - train_ds = self.get_iterable_datasets()[DatasetKey.TRAIN] + ds = self.get_iterable_datasets()[dataset_key] + + device = self._get_device() # Adjust worker settings for 0 workers case num_workers = max(0, self.num_torch_workers) @@ -134,7 +127,6 @@ def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: timeout = ( dataloader_config.torch_dataloader_timeout_seconds if num_workers > 0 else 0 ) - batch_size = dataloader_config.train_batch_size logger.info( f"Worker {worker_rank}: Creating train DataLoader with " @@ -143,17 +135,22 @@ def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: f"timeout={timeout}, batch_size={batch_size}" ) + multiprocessing_args = {} + if num_workers > 0: + multiprocessing_args = dict( + multiprocessing_context=self._create_multiprocessing_context(), + worker_init_fn=self.worker_init_fn, + persistent_workers=persistent_workers, + ) dataloader = torch.utils.data.DataLoader( - dataset=train_ds, + dataset=ds, batch_size=batch_size, num_workers=num_workers, pin_memory=pin_memory, - persistent_workers=persistent_workers, prefetch_factor=prefetch_factor, timeout=timeout, drop_last=True, - worker_init_fn=self.worker_init_fn if num_workers > 0 else None, - multiprocessing_context=self._create_multiprocessing_context(), + **multiprocessing_args, ) # Add a DistributedSampler to the dataloader if possible (map-style datasets) dataloader = ray.train.torch.prepare_data_loader( @@ -162,6 +159,19 @@ def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: return self.create_batch_iterator(dataloader, device) + def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: + """Create a DataLoader for training data. + + Returns: + An iterator that yields (image, label) tensors for training + """ + worker_rank = ray.train.get_context().get_world_rank() + logger.info(f"Worker {worker_rank}: Creating train dataloader") + + return self._create_dataloader( + DatasetKey.TRAIN, self.get_dataloader_config().train_batch_size + ) + def get_val_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: """Create a DataLoader for validation data. @@ -171,49 +181,6 @@ def get_val_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]: worker_rank = ray.train.get_context().get_world_rank() logger.info(f"Worker {worker_rank}: Creating validation dataloader") - dataloader_config = self.get_dataloader_config() - device = self._get_device() - - # Create dataset and dataloader with row limits - val_ds = self.get_iterable_datasets()[DatasetKey.VALID] - - # Adjust worker settings for 0 workers case - num_workers = max(0, self.num_torch_workers) - persistent_workers = num_workers > 0 - pin_memory = ( - dataloader_config.torch_pin_memory and torch.cuda.is_available() - ) # Use config setting - - if dataloader_config.torch_prefetch_factor >= 0: - prefetch_factor = dataloader_config.torch_prefetch_factor - else: - prefetch_factor = None - - timeout = ( - dataloader_config.torch_dataloader_timeout_seconds if num_workers > 0 else 0 + return self._create_dataloader( + DatasetKey.VALID, self.get_dataloader_config().validation_batch_size ) - batch_size = dataloader_config.validation_batch_size - - logger.info( - f"Worker {worker_rank}: Creating validation DataLoader with " - f"num_workers={num_workers}, pin_memory={pin_memory}, " - f"persistent_workers={persistent_workers}, prefetch_factor={prefetch_factor}, " - f"timeout={timeout}, batch_size={batch_size}" - ) - - dataloader = torch.utils.data.DataLoader( - dataset=val_ds, - batch_size=batch_size, - num_workers=num_workers, - pin_memory=pin_memory, - persistent_workers=persistent_workers, - prefetch_factor=prefetch_factor, - timeout=timeout, - drop_last=False, - worker_init_fn=self.worker_init_fn if num_workers > 0 else None, - multiprocessing_context=self._create_multiprocessing_context(), - ) - dataloader = ray.train.torch.prepare_data_loader( - dataloader, move_to_device=False - ) - return self.create_batch_iterator(dataloader, device) From 6d37fd6879c16a9e2f21c05fbf46c47b864f6d10 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Mon, 8 Sep 2025 13:45:12 -0700 Subject: [PATCH 1097/1566] [Core] [Doc] Add OSS Document for Task Events (#56203) Signed-off-by: Mengjin Yan Co-authored-by: Jiajun Yao Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- doc/source/ray-core/tasks.rst | 2 + .../images/ray-event-export.png | Bin 0 -> 46675 bytes .../ray-observability/user-guides/index.md | 2 + .../user-guides/ray-event-export.rst | 134 ++++++++++++++++++ 4 files changed, 138 insertions(+) create mode 100644 doc/source/ray-observability/images/ray-event-export.png create mode 100644 doc/source/ray-observability/user-guides/ray-event-export.rst diff --git a/doc/source/ray-core/tasks.rst b/doc/source/ray-core/tasks.rst index 76a7173e2100..81c0438a1b11 100644 --- a/doc/source/ray-core/tasks.rst +++ b/doc/source/ray-core/tasks.rst @@ -287,6 +287,8 @@ You can change this behavior by setting in :func:`ray.remote() ` and :meth:`.options() `. 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Each node sends events to the endpoint through an HTTP POST request. + +Ray 2.49 supports exporting task events. Future releases include support for other +event types, such as actor events, node events, job events, and more. + +Previously, Ray's :ref:`task events ` were only used internally by the Ray Dashboard +and :ref:`State API ` for monitoring and debugging. With the new event +export feature, you can now send these raw events to external systems for custom analytics, +monitoring, and integration with third-party tools. + +.. note:: + Ray Event Export is still in alpha. The way to configure event + reporting and the format of the events is subject to change. + +Enable event reporting +---------------------- +To enable event reporting, you need to set the ``RAY_enable_core_worker_ray_event_to_aggregator`` environment +variable to ``1`` when starting each Ray worker node. + +To set the target HTTP endpoint, set the ``RAY_events_export_addr`` +environment variable to a valid HTTP URL with the ``http://`` URL scheme. + +Event format +------------ + +Events are JSON objects in the POST request body. + +All events contain the same base fields and different event specific fields. +See `src/ray/protobuf/public/events_base_event.proto `_ for the base fields. + +Task events +^^^^^^^^^^^ + +For each task, Ray exports two types of events: Task Definition Event and Task Execution Event. + +* Each task attempt generates one Task Definition Event which contains the metadata of the task. + See `src/ray/protobuf/public/events_task_definition_event.proto `_ + and `src/ray/protobuf/public/events_actor_task_definition_event.proto `_ for the event formats for normal tasks + and actor tasks respectively. +* Task Execution Events contain task state transition information and metadata + generated during task execution. + See `src/ray/protobuf/public/events_task_execution_event.proto `_ for the event format. + +An example of a Task Definition Event and a Task Execution Event: + +.. code-block:: json + + // task definition event + { + "eventId":"N5n229xkwyjlZRFJDF2G1sh6ZNYlqChwJ4WPEQ==", + "sourceType":"CORE_WORKER", + "eventType":"TASK_DEFINITION_EVENT", + "timestamp":"2025-09-03T18:52:14.467290Z", + "severity":"INFO", + "sessionName":"session_2025-09-03_11-52-12_635210_85618", + "taskDefinitionEvent":{ + "taskId":"yO9FzNARJXH///////////////8BAAAA", + "taskFunc":{ + "pythonFunctionDescriptor":{ + "moduleName":"test-tasks", + "functionName":"test_task", + "functionHash":"37ddb110c0514b049bd4db5ab934627b", + "className":"" + } + }, + "taskName":"test_task", + "requiredResources":{ + "CPU":1.0 + }, + "runtimeEnvInfo":{ + "serializedRuntimeEnv":"{}", + "runtimeEnvConfig":{ + "setupTimeoutSeconds":600, + "eagerInstall":true, + "logFiles":[ + + ] + } + }, + "jobId":"AQAAAA==", + "parentTaskId":"//////////////////////////8BAAAA", + "placementGroupId":"////////////////////////", + "taskAttempt":0, + "taskType":"NORMAL_TASK", + "language":"PYTHON", + "refIds":{ + + } + }, + "message":"" + } + + // task execution event + { + "eventId":"vkIaAHlQC5KoppGosqs2kBq5k2WzsAAbawDDbQ==", + "sourceType":"CORE_WORKER", + "eventType":"TASK_EXECUTION_EVENT", + "timestamp":"2025-09-03T18:52:14.469074Z", + "severity":"INFO", + "sessionName":"session_2025-09-03_11-52-12_635210_85618", + "taskExecutionEvent":{ + "taskId":"yO9FzNARJXH///////////////8BAAAA", + "taskState":{ + // key is the integer value of TaskStatus enum in common.proto at + // https://github.com/ray-project/ray/blob/master/src/ray/protobuf/common.proto + "2":"2025-09-03T18:52:14.467402Z", // PENDING_NODE_ASSIGNMENT + "1":"2025-09-03T18:52:14.467290Z", // PENDING_ARGS_AVAIL + "5":"2025-09-03T18:52:14.469074Z" // SUBMITTED_TO_WORKER + }, + "nodeId":"ZvxTI6x9dlMFqMlIHErJpg5UEGK1INsKhW2zyg==", + "workerId":"hMybCNYIFi+/yInYYhdc+qH8yMF65j/8+uCTmw==", + "jobId":"AQAAAA==", + "taskAttempt":0, + "workerPid":0 + }, + "message":"" + } + +High-level Architecture +----------------------- + +The following diagram shows the high-level architecture of Ray Event Export. + +.. image:: ../images/ray-event-export.png + +All Ray components send events to an aggregator agent through gRPC. There is an aggregator +agent on each node. The aggregator agent collects all events on that node and sends the +events to the configured HTTP endpoint. \ No newline at end of file From 2a2af4aa99a4170ef83d8047ea9aa8af33ab134f Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Mon, 8 Sep 2025 14:07:41 -0700 Subject: [PATCH 1098/1566] [serve] deflake test pow 2 router (#56342) We only back off after the first "all replica set" has been tried once, aka only after the first retry of the "all replicas set". So the order goes like: 1. replicas on same node 2. replicas in same AZ 3. all replicas -- no backoff after 4. all replicas (first retry) -- backoff after So r3 could get selected on (3), or (4), or neither (3) or (4) (for this last case we'd run into the 10s timeout which the test swallows bc it's expected to sometimes happen). These 3 cases give that we could have gone through either 3 or 4 sets of chosen replicas. https://github.com/ray-project/ray/issues/55617 --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/unit/test_pow_2_request_router.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/unit/test_pow_2_request_router.py b/python/ray/serve/tests/unit/test_pow_2_request_router.py index 54ac8d612202..a594b94045b7 100644 --- a/python/ray/serve/tests/unit/test_pow_2_request_router.py +++ b/python/ray/serve/tests/unit/test_pow_2_request_router.py @@ -1918,7 +1918,7 @@ def fake_sample(seq, k): assert done.pop().result() == r3 # assert that we tried local node, followed by local AZ, followed by all replicas - assert len(chosen_replicas) == 3 + assert len(chosen_replicas) in (3, 4) assert set(chosen_replicas[0]) == {r1.replica_id} assert set(chosen_replicas[1]) == {r1.replica_id, r2.replica_id} # assert intersection of chosen_replicas[2] and {r1.replica_id, r2.replica_id, r3.replica_id} is not empty From e15aec776ef38ddb638b1f379c38198c877b6481 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 8 Sep 2025 15:56:12 -0700 Subject: [PATCH 1099/1566] [Data] Remove deprecated `Dataset.to_torch` (#56333) ## Why are these changes needed? `Dataset.to_torch` has been deprecated for 10 months, and has been slated for removal since May 2025. This PR actually removes it. ## Related issue number https://github.com/ray-project/ray/pull/48692 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- doc/source/data/api/dataset.rst | 1 - python/ray/data/dataset.py | 131 ------------ python/ray/data/tests/test_object_gc.py | 13 -- python/ray/data/tests/test_raydp.py | 14 -- python/ray/data/tests/test_torch.py | 259 ------------------------ 5 files changed, 418 deletions(-) diff --git a/doc/source/data/api/dataset.rst b/doc/source/data/api/dataset.rst index 472ffa02b2f2..4e4fc16a04ad 100644 --- a/doc/source/data/api/dataset.rst +++ b/doc/source/data/api/dataset.rst @@ -43,4 +43,3 @@ Deprecated API :toctree: doc/ Dataset.iter_tf_batches - Dataset.to_torch diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 7fb1c46b7651..9d655547e66b 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -5214,137 +5214,6 @@ def iter_tf_batches( local_shuffle_seed=local_shuffle_seed, ) - @ConsumptionAPI(pattern="Time complexity:") - @Deprecated - def to_torch( - self, - *, - label_column: Optional[str] = None, - feature_columns: Optional[ - Union[List[str], List[List[str]], Dict[str, List[str]]] - ] = None, - label_column_dtype: Optional["torch.dtype"] = None, - feature_column_dtypes: Optional[ - Union["torch.dtype", List["torch.dtype"], Dict[str, "torch.dtype"]] - ] = None, - batch_size: int = 1, - prefetch_batches: int = 1, - drop_last: bool = False, - local_shuffle_buffer_size: Optional[int] = None, - local_shuffle_seed: Optional[int] = None, - unsqueeze_label_tensor: bool = True, - unsqueeze_feature_tensors: bool = True, - ) -> "torch.utils.data.IterableDataset": - """Return a - `Torch IterableDataset `_ - over this :class:`~ray.data.Dataset`. - - This is only supported for datasets convertible to Arrow records. - - It is recommended to use the returned ``IterableDataset`` directly - instead of passing it into a torch ``DataLoader``. - - Each element in ``IterableDataset`` is a tuple consisting of 2 - elements. The first item contains the feature tensor(s), and the - second item is the label tensor. Those can take on different - forms, depending on the specified arguments. - - For the features tensor (N is the ``batch_size`` and n, m, k - are the number of features per tensor): - - * If ``feature_columns`` is a ``List[str]``, the features is - a tensor of shape (N, n), with columns corresponding to - ``feature_columns`` - - * If ``feature_columns`` is a ``List[List[str]]``, the features is - a list of tensors of shape [(N, m),...,(N, k)], with columns of each - tensor corresponding to the elements of ``feature_columns`` - - * If ``feature_columns`` is a ``Dict[str, List[str]]``, the features - is a dict of key-tensor pairs of shape - {key1: (N, m),..., keyN: (N, k)}, with columns of each - tensor corresponding to the value of ``feature_columns`` under the - key. - - If ``unsqueeze_label_tensor=True`` (default), the label tensor is - of shape (N, 1). Otherwise, it is of shape (N,). - If ``label_column`` is specified as ``None``, then no column from the - ``Dataset`` is treated as the label, and the output label tensor - is ``None``. - - Note that you probably want to call :meth:`Dataset.split` on this dataset if - there are to be multiple Torch workers consuming the data. - - Time complexity: O(1) - - Args: - label_column: The name of the column used as the - label (second element of the output list). Can be None for - prediction, in which case the second element of returned - tuple will also be None. - feature_columns: The names of the columns - to use as the features. Can be a list of lists or - a dict of string-list pairs for multi-tensor output. - If ``None``, then use all columns except the label column as - the features. - label_column_dtype: The torch dtype to - use for the label column. If ``None``, then automatically infer - the dtype. - feature_column_dtypes: The dtypes to use for the feature - tensors. This should match the format of ``feature_columns``, - or be a single dtype, in which case it is applied to - all tensors. If ``None``, then automatically infer the dtype. - batch_size: How many samples per batch to yield at a time. - Defaults to 1. - prefetch_batches: The number of batches to fetch ahead of the current batch - to fetch. If set to greater than 0, a separate threadpool is used - to fetch the objects to the local node, format the batches, and apply - the collate_fn. Defaults to 1. - drop_last: Set to True to drop the last incomplete batch, - if the dataset size is not divisible by the batch size. If - False and the size of the stream is not divisible by the batch - size, then the last batch is smaller. Defaults to False. - local_shuffle_buffer_size: If non-None, the data is randomly shuffled - using a local in-memory shuffle buffer, and this value will serve as the - minimum number of rows that must be in the local in-memory shuffle - buffer in order to yield a batch. When there are no more rows to add to - the buffer, the remaining rows in the buffer are drained. This - buffer size must be greater than or equal to ``batch_size``, and - therefore ``batch_size`` must also be specified when using local - shuffling. - local_shuffle_seed: The seed to use for the local random shuffle. - unsqueeze_label_tensor: If set to True, the label tensor - is unsqueezed (reshaped to (N, 1)). Otherwise, it will - be left as is, that is (N, ). In general, regression loss - functions expect an unsqueezed tensor, while classification - loss functions expect a squeezed one. Defaults to True. - unsqueeze_feature_tensors: If set to True, the features tensors - are unsqueezed (reshaped to (N, 1)) before being concatenated into - the final features tensor. Otherwise, they are left as is, that is - (N, ). Defaults to True. - - Returns: - A `Torch IterableDataset`_. - """ # noqa: E501 - warnings.warn( - "`to_torch` is deprecated and will be removed after May 2025. Use " - "`iter_torch_batches` instead.", - DeprecationWarning, - ) - return self.iterator().to_torch( - label_column=label_column, - feature_columns=feature_columns, - label_column_dtype=label_column_dtype, - feature_column_dtypes=feature_column_dtypes, - batch_size=batch_size, - prefetch_batches=prefetch_batches, - drop_last=drop_last, - local_shuffle_buffer_size=local_shuffle_buffer_size, - local_shuffle_seed=local_shuffle_seed, - unsqueeze_label_tensor=unsqueeze_label_tensor, - unsqueeze_feature_tensors=unsqueeze_feature_tensors, - ) - @ConsumptionAPI @PublicAPI(api_group=IOC_API_GROUP) def to_tf( diff --git a/python/ray/data/tests/test_object_gc.py b/python/ray/data/tests/test_object_gc.py index fd6b5e3f49a4..2994a57bcf77 100644 --- a/python/ray/data/tests/test_object_gc.py +++ b/python/ray/data/tests/test_object_gc.py @@ -33,17 +33,6 @@ def _all_executor_threads_exited(): wait_for_condition(_all_executor_threads_exited, timeout=10, retry_interval_ms=1000) -def check_to_torch_no_spill(ctx, dataset): - # Iterate over the dataset for 10 epochs to stress test that - # no spilling will happen. - max_epoch = 10 - for _ in range(max_epoch): - for _ in dataset.to_torch(batch_size=None): - pass - meminfo = memory_summary(ctx.address_info["address"], stats_only=True) - assert "Spilled" not in meminfo, meminfo - - def check_iter_torch_batches_no_spill(ctx, dataset): # Iterate over the dataset for 10 epochs to stress test that # no spilling will happen. @@ -93,8 +82,6 @@ def test_torch_iteration(shutdown_only): # The size of dataset is 500*(80*80*4)*8B, about 100MB. ds = ray.data.range_tensor(500, shape=(80, 80, 4), override_num_blocks=100) - # to_torch - check_to_torch_no_spill(ctx, ds) # iter_torch_batches check_iter_torch_batches_no_spill(ctx, ds) diff --git a/python/ray/data/tests/test_raydp.py b/python/ray/data/tests/test_raydp.py index 84576aedaed9..633018798182 100644 --- a/python/ray/data/tests/test_raydp.py +++ b/python/ray/data/tests/test_raydp.py @@ -1,7 +1,6 @@ import pandas import pytest import raydp -import torch import ray from ray.data.tests.conftest import * # noqa @@ -58,19 +57,6 @@ def test_from_spark_e2e(spark): _check_usage_record(["FromArrow"]) -def test_raydp_to_torch_iter(spark): - spark_df = spark.createDataFrame([(1, 0), (2, 0), (3, 1)], ["feature", "label"]) - data_size = spark_df.count() - features = [r["feature"] for r in spark_df.take(data_size)] - features = torch.tensor(features).reshape(data_size, 1) - labels = [r["label"] for r in spark_df.take(data_size)] - labels = torch.tensor(labels).reshape(data_size, 1) - ds = ray.data.from_spark(spark_df) - dataset = ds.to_torch(label_column="label", batch_size=3) - data_features, data_labels = next(dataset.__iter__()) - assert torch.equal(data_features, features) and torch.equal(data_labels, labels) - - def test_to_pandas(spark): df = spark.range(100) ds = ray.data.from_spark(df) diff --git a/python/ray/data/tests/test_torch.py b/python/ray/data/tests/test_torch.py index 5cae57075f8b..41e69ec2a293 100644 --- a/python/ray/data/tests/test_torch.py +++ b/python/ray/data/tests/test_torch.py @@ -4,270 +4,11 @@ import torch import ray -from ray.data.extensions.tensor_extension import TensorArray from ray.data.tests.conftest import * # noqa from ray.data.tests.util import extract_values from ray.tests.conftest import * # noqa -def test_to_torch_emits_deprecation_warning(ray_start_10_cpus_shared): - with pytest.warns(DeprecationWarning): - ray.data.range(1).to_torch() - - -def test_to_torch(ray_start_10_cpus_shared): - import torch - - df1 = pd.DataFrame( - {"one": [1, 2, 3], "two": [1.0, 2.0, 3.0], "label": [1.0, 2.0, 3.0]} - ) - df2 = pd.DataFrame( - {"one": [4, 5, 6], "two": [4.0, 5.0, 6.0], "label": [4.0, 5.0, 6.0]} - ) - df3 = pd.DataFrame({"one": [7, 8], "two": [7.0, 8.0], "label": [7.0, 8.0]}) - df = pd.concat([df1, df2, df3]) - ds = ray.data.from_pandas([df1, df2, df3]) - torchd = ds.to_torch(label_column="label", batch_size=3) - - num_epochs = 2 - for _ in range(num_epochs): - iterations = [] - for batch in iter(torchd): - iterations.append(torch.cat((batch[0], batch[1]), dim=1).numpy()) - combined_iterations = np.concatenate(iterations) - np.testing.assert_array_equal(np.sort(df.values), np.sort(combined_iterations)) - - -@pytest.mark.parametrize("input", ["single", "list", "dict"]) -@pytest.mark.parametrize("force_dtype", [False, True]) -@pytest.mark.parametrize("label_type", [None, "squeezed", "unsqueezed"]) -def test_to_torch_feature_columns( - ray_start_10_cpus_shared, input, force_dtype, label_type -): - import torch - - df1 = pd.DataFrame( - { - "one": [1, 2, 3], - "two": [1.0, 2.0, 3.0], - "three": [4.0, 5.0, 6.0], - "label": [1.0, 2.0, 3.0], - } - ) - df2 = pd.DataFrame( - { - "one": [4, 5, 6], - "two": [4.0, 5.0, 6.0], - "three": [7.0, 8.0, 9.0], - "label": [4.0, 5.0, 6.0], - } - ) - df3 = pd.DataFrame( - {"one": [7, 8], "two": [7.0, 8.0], "three": [10.0, 11.0], "label": [7.0, 8.0]} - ) - df = pd.concat([df1, df2, df3]).drop("three", axis=1) - ds = ray.data.from_pandas([df1, df2, df3]) - - feature_column_dtypes = None - label_column_dtype = None - if force_dtype: - label_column_dtype = torch.long - if input == "single": - feature_columns = ["one", "two"] - if force_dtype: - feature_column_dtypes = torch.long - elif input == "list": - feature_columns = [["one"], ["two"]] - if force_dtype: - feature_column_dtypes = [torch.long, torch.long] - elif input == "dict": - feature_columns = {"X1": ["one"], "X2": ["two"]} - if force_dtype: - feature_column_dtypes = {"X1": torch.long, "X2": torch.long} - - label_column = None if label_type is None else "label" - unsqueeze_label_tensor = label_type == "unsqueezed" - - torchd = ds.to_torch( - label_column=label_column, - feature_columns=feature_columns, - feature_column_dtypes=feature_column_dtypes, - label_column_dtype=label_column_dtype, - unsqueeze_label_tensor=unsqueeze_label_tensor, - batch_size=3, - ) - iterations = [] - - for batch in iter(torchd): - features, label = batch - - if input == "single": - assert isinstance(features, torch.Tensor) - if force_dtype: - assert features.dtype == torch.long - data = features - elif input == "list": - assert isinstance(features, list) - assert all(isinstance(item, torch.Tensor) for item in features) - if force_dtype: - assert all(item.dtype == torch.long for item in features) - data = torch.cat(tuple(features), dim=1) - elif input == "dict": - assert isinstance(features, dict) - assert all(isinstance(item, torch.Tensor) for item in features.values()) - if force_dtype: - assert all(item.dtype == torch.long for item in features.values()) - data = torch.cat(tuple(features.values()), dim=1) - - if not label_type: - assert label is None - else: - assert isinstance(label, torch.Tensor) - if force_dtype: - assert label.dtype == torch.long - if unsqueeze_label_tensor: - assert label.dim() == 2 - else: - assert label.dim() == 1 - label = label.view(-1, 1) - data = torch.cat((data, label), dim=1) - iterations.append(data.numpy()) - - combined_iterations = np.concatenate(iterations) - if not label_type: - df.drop("label", axis=1, inplace=True) - np.testing.assert_array_equal(df.values, combined_iterations) - - -def test_tensors_in_tables_to_torch(ray_start_10_cpus_shared): - outer_dim = 3 - inner_shape = (2, 2, 2) - shape = (outer_dim,) + inner_shape - num_items = np.prod(np.array(shape)) - arr = np.arange(num_items).reshape(shape) - df1 = pd.DataFrame( - {"one": TensorArray(arr), "two": TensorArray(arr + 1), "label": [1.0, 2.0, 3.0]} - ) - arr2 = np.arange(num_items, 2 * num_items).reshape(shape) - df2 = pd.DataFrame( - { - "one": TensorArray(arr2), - "two": TensorArray(arr2 + 1), - "label": [4.0, 5.0, 6.0], - } - ) - df = pd.concat([df1, df2]) - ds = ray.data.from_pandas([df1, df2]) - torchd = ds.to_torch( - label_column="label", batch_size=2, unsqueeze_label_tensor=False - ) - - num_epochs = 2 - for _ in range(num_epochs): - features, labels = [], [] - for batch in iter(torchd): - features.append(batch[0].numpy()) - labels.append(batch[1].numpy()) - features, labels = np.concatenate(features), np.concatenate(labels) - values = np.stack([df["one"].to_numpy(), df["two"].to_numpy()], axis=1) - np.testing.assert_array_equal(values, features) - np.testing.assert_array_equal(df["label"].to_numpy(), labels) - - -def test_tensors_in_tables_to_torch_mix(ray_start_10_cpus_shared): - outer_dim = 3 - inner_shape = (2, 2, 2) - shape = (outer_dim,) + inner_shape - num_items = np.prod(np.array(shape)) - arr = np.arange(num_items).reshape(shape) - df1 = pd.DataFrame( - { - "one": TensorArray(arr), - "two": [1, 2, 3], - "label": [1.0, 2.0, 3.0], - } - ) - arr2 = np.arange(num_items, 2 * num_items).reshape(shape) - df2 = pd.DataFrame( - { - "one": TensorArray(arr2), - "two": [4, 5, 6], - "label": [4.0, 5.0, 6.0], - } - ) - df = pd.concat([df1, df2]) - ds = ray.data.from_pandas([df1, df2]) - torchd = ds.to_torch( - label_column="label", - feature_columns=[["one"], ["two"]], - batch_size=2, - unsqueeze_label_tensor=False, - unsqueeze_feature_tensors=False, - ) - - num_epochs = 2 - for _ in range(num_epochs): - col1, col2, labels = [], [], [] - for batch in iter(torchd): - col1.append(batch[0][0].numpy()) - col2.append(batch[0][1].numpy()) - labels.append(batch[1].numpy()) - col1, col2 = np.concatenate(col1), np.concatenate(col2) - labels = np.concatenate(labels) - np.testing.assert_array_equal(col1, np.sort(df["one"].to_numpy())) - np.testing.assert_array_equal(col2, np.sort(df["two"].to_numpy())) - np.testing.assert_array_equal(labels, np.sort(df["label"].to_numpy())) - - -@pytest.mark.skip( - reason=( - "Waiting for Torch to support unsqueezing and concatenating nested tensors." - ) -) -def test_tensors_in_tables_to_torch_variable_shaped(ray_start_10_cpus_shared): - shapes = [(2, 2), (3, 3), (4, 4)] - cumsum_sizes = np.cumsum([0] + [np.prod(shape) for shape in shapes[:-1]]) - arrs1 = [ - np.arange(offset, offset + np.prod(shape)).reshape(shape) - for offset, shape in zip(cumsum_sizes, shapes) - ] - df1 = pd.DataFrame( - { - "one": TensorArray(arrs1), - "two": TensorArray([a + 1 for a in arrs1]), - "label": [1.0, 2.0, 3.0], - } - ) - base = cumsum_sizes[-1] - arrs2 = [ - np.arange(base + offset, base + offset + np.prod(shape)).reshape(shape) - for offset, shape in zip(cumsum_sizes, shapes) - ] - df2 = pd.DataFrame( - { - "one": TensorArray(arrs2), - "two": TensorArray([a + 1 for a in arrs2]), - "label": [4.0, 5.0, 6.0], - } - ) - df = pd.concat([df1, df2]) - ds = ray.data.from_pandas([df1, df2]) - torchd = ds.to_torch( - label_column="label", batch_size=2, unsqueeze_label_tensor=False - ) - - num_epochs = 2 - for _ in range(num_epochs): - features, labels = [], [] - for batch in iter(torchd): - features.append(batch[0].numpy()) - labels.append(batch[1].numpy()) - features, labels = np.concatenate(features), np.concatenate(labels) - values = np.stack([df["one"].to_numpy(), df["two"].to_numpy()], axis=1) - np.testing.assert_array_equal(values, features) - np.testing.assert_array_equal(df["label"].to_numpy(), labels) - - def test_iter_torch_batches(ray_start_10_cpus_shared): import torch From 7001a05ba500b733e35d427cc3c98992f03a548a Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 8 Sep 2025 16:08:33 -0700 Subject: [PATCH 1100/1566] [core] disable test db for cpp tests (#56348) Disable RAYCI_TEST_DB for core cpp tests. What this really means is not tracking and skipping flaky cpp tests on PRs. Chat offline with @edoakes and we think cpp tests are not flaky so it makes sense to do this for cpp tests. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 26 +++++++------------------- 1 file changed, 7 insertions(+), 19 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index c1291858d276..71ed4084c0e2 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -291,19 +291,21 @@ steps: - "3.11" - "3.12" - "3.13" + - label: ":ray: core: cgroup tests" tags: core_cpp instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/ray/common/cgroup2/tests/... core --build-type clang --cache-test-results + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/ray/common/cgroup2/tests/... core --build-type clang --cache-test-results - docker run --privileged -i --rm --volume /tmp/artifacts:/artifact-mount --shm-size=2.5gb "$${RAYCI_WORK_REPO}":"$${RAYCI_BUILD_ID}"-corebuild /bin/bash "./src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh" + - label: ":ray: core: cpp tests" tags: core_cpp instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --except-tags=cgroup --build-type clang + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --except-tags=cgroup --build-type clang --cache-test-results --parallelism-per-worker 2 # block on premerge and microcheck @@ -316,7 +318,7 @@ steps: tags: core_cpp instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --except-tags=cgroup + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --except-tags=cgroup --build-type asan-clang --cache-test-results --parallelism-per-worker 2 depends_on: - block-core-cpp-sanitizer-tests @@ -326,7 +328,7 @@ steps: tags: core_cpp instance_type: large commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --build-type ubsan --except-tags no_ubsan,cgroup --cache-test-results --parallelism-per-worker 2 depends_on: @@ -337,27 +339,13 @@ steps: tags: core_cpp instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core + - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core --build-type tsan-clang --except-tags no_tsan,cgroup --cache-test-results --parallelism-per-worker 2 depends_on: - block-core-cpp-sanitizer-tests - corebuild - - label: ":ray: core: flaky cpp tests" - key: core_flaky_cpp_tests - tags: - - python - - flaky - - skip-on-premerge - instance_type: large - soft_fail: true - commands: - - bazel run //ci/ray_ci:test_in_docker -- //:all //src/... core - --run-flaky-tests --build-type clang - depends_on: - - corebuild - - label: ":ray: core: flaky tests" key: core_flaky_tests tags: From 04a5cc71f45e509ba37db7d7fbed65360ca2fb3a Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 8 Sep 2025 16:15:07 -0700 Subject: [PATCH 1101/1566] [Data] Remove redundant `ignore_missing_paths` and partitioning tests (#56341) ## Why are these changes needed? ## Related issue number This PR removes redundant tests for `ignore_missing_paths` and partitioning in format-specific datasources. These behaviors are implemented by the `FileBasedDatasource` base classes, so the subclass tests add little value while increasing runtime and complexity. ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/conftest.py | 60 ---- python/ray/data/tests/test_binary.py | 94 ------ python/ray/data/tests/test_csv.py | 309 ------------------ .../data/tests/test_file_based_datasource.py | 155 ++++++++- python/ray/data/tests/test_image.py | 44 --- python/ray/data/tests/test_json.py | 114 ------- python/ray/data/tests/test_numpy.py | 95 ------ python/ray/data/tests/test_text.py | 98 +----- python/ray/data/tests/test_tfrecords.py | 30 -- 9 files changed, 154 insertions(+), 845 deletions(-) diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index 53145fa06e98..5a14253918bb 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -16,7 +16,6 @@ from ray._private.internal_api import get_memory_info_reply, get_state_from_address from ray.air.constants import TENSOR_COLUMN_NAME from ray.air.util.tensor_extensions.arrow import ArrowTensorArray -from ray.data import Schema from ray.data.block import BlockExecStats, BlockMetadata from ray.data.context import DEFAULT_TARGET_MAX_BLOCK_SIZE, DataContext, ShuffleStrategy from ray.data.tests.mock_server import * # noqa @@ -213,65 +212,6 @@ def _write_partitioned_df( yield _write_partitioned_df -@pytest.fixture(scope="function") -def write_base_partitioned_df(base_partitioned_df, write_partitioned_df): - def _write_base_partitioned_df( - partition_keys, - partition_path_encoder, - file_writer_fn, - ): - write_partitioned_df( - base_partitioned_df, - partition_keys, - partition_path_encoder, - file_writer_fn, - ) - - yield _write_base_partitioned_df - - -@pytest.fixture(scope="function") -def assert_base_partitioned_ds(): - def _assert_base_partitioned_ds( - ds, - count=6, - num_input_files=2, - num_rows=6, - schema=Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])), - sorted_values=None, - ds_take_transform_fn=None, - sorted_values_transform_fn=None, - ): - if ds_take_transform_fn is None: - ds_take_transform_fn = lambda taken: [ # noqa: E731 - [s["one"], s["two"]] for s in taken - ] - - if sorted_values_transform_fn is None: - sorted_values_transform_fn = ( # noqa: E731 - lambda sorted_values: sorted_values - ) - - if sorted_values is None: - sorted_values = [[1, "a"], [1, "b"], [1, "c"], [3, "e"], [3, "f"], [3, "g"]] - # Test metadata ops. - assert not ds._plan.has_started_execution - assert ds.count() == count, f"{ds.count()} != {count}" - assert ds.size_bytes() > 0, f"{ds.size_bytes()} <= 0" - assert ds.schema() == schema - actual_input_files = ds.input_files() - assert len(actual_input_files) == num_input_files, actual_input_files - - # Force a data read. - values = ds_take_transform_fn(ds.take_all()) - actual_sorted_values = sorted_values_transform_fn(sorted(values)) - assert ( - actual_sorted_values == sorted_values - ), f"{actual_sorted_values} != {sorted_values}" - - yield _assert_base_partitioned_ds - - @pytest.fixture def restore_data_context(request): """Restore any DataContext changes after the test runs""" diff --git a/python/ray/data/tests/test_binary.py b/python/ray/data/tests/test_binary.py index f1735da802f7..18e07200306a 100644 --- a/python/ray/data/tests/test_binary.py +++ b/python/ray/data/tests/test_binary.py @@ -1,45 +1,22 @@ import os from io import BytesIO -import pandas as pd import pyarrow as pa import pytest import requests import snappy import ray -from ray.data import Schema from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, - Partitioning, - PartitionStyle, - PathPartitionFilter, ) from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa -from ray.data.tests.test_partitioning import PathPartitionEncoder from ray.data.tests.util import extract_values, gen_bin_files from ray.tests.conftest import * # noqa -def test_read_binary_files_partitioning(ray_start_regular_shared, tmp_path): - os.mkdir(os.path.join(tmp_path, "country=us")) - path = os.path.join(tmp_path, "country=us", "file.bin") - with open(path, "wb") as f: - f.write(b"foo") - - ds = ray.data.read_binary_files(path, partitioning=Partitioning("hive")) - - assert ds.take() == [{"bytes": b"foo", "country": "us"}] - - ds = ray.data.read_binary_files( - path, include_paths=True, partitioning=Partitioning("hive") - ) - - assert ds.take() == [{"bytes": b"foo", "path": path, "country": "us"}] - - def test_read_binary_files(ray_start_regular_shared): with gen_bin_files(10) as (_, paths): ds = ray.data.read_binary_files(paths) @@ -52,24 +29,6 @@ def test_read_binary_files(ray_start_regular_shared): assert "bytes" in str(ds), ds -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_read_binary_files_ignore_missing_paths( - ray_start_regular_shared, ignore_missing_paths -): - with gen_bin_files(1) as (_, paths): - paths = paths + ["missing_file"] - if ignore_missing_paths: - ds = ray.data.read_binary_files( - paths, ignore_missing_paths=ignore_missing_paths - ) - assert ds.input_files() == [paths[0]] - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_binary_files( - paths, ignore_missing_paths=ignore_missing_paths - ).materialize() - - def test_read_binary_files_with_fs(ray_start_regular_shared): with gen_bin_files(10) as (tempdir, paths): # All the paths are absolute, so we want the root file system. @@ -142,59 +101,6 @@ def test_read_binary_meta_provider( ) -@pytest.mark.parametrize("style", [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]) -def test_read_binary_snappy_partitioned_with_filter( - style, - ray_start_regular_shared, - tmp_path, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - def df_to_binary(dataframe, path, **kwargs): - with open(path, "wb") as f: - df_string = dataframe.to_string(index=False, header=False, **kwargs) - byte_str = df_string.encode() - bytes = BytesIO(byte_str) - snappy.stream_compress(bytes, f) - - partition_keys = ["one"] - - def skip_unpartitioned(kv_dict): - return bool(kv_dict) - - base_dir = os.path.join(tmp_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - df_to_binary, - ) - df_to_binary(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.snappy")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filter_fn=skip_unpartitioned, - ) - ds = ray.data.read_binary_files( - base_dir, - partition_filter=partition_path_filter, - arrow_open_stream_args=dict(compression="snappy"), - ) - assert_base_partitioned_ds( - ds, - count=2, - num_rows=2, - schema=Schema(pa.schema([("bytes", pa.binary())])), - sorted_values=[b"1 a\n1 b\n1 c", b"3 e\n3 f\n3 g"], - ds_take_transform_fn=lambda t: extract_values("bytes", t), - ) - - if __name__ == "__main__": import sys diff --git a/python/ray/data/tests/test_csv.py b/python/ray/data/tests/test_csv.py index 93ef35261e8f..9ba6e63bb60b 100644 --- a/python/ray/data/tests/test_csv.py +++ b/python/ray/data/tests/test_csv.py @@ -1,7 +1,5 @@ -import itertools import os import shutil -from functools import partial import pandas as pd import pyarrow as pa @@ -17,8 +15,6 @@ from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, - PartitionStyle, - PathPartitionFilter, ) from ray.data.datasource.file_based_datasource import ( FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD, @@ -26,7 +22,6 @@ from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa -from ray.data.tests.test_partitioning import PathPartitionEncoder from ray.tests.conftest import * # noqa @@ -34,21 +29,6 @@ def df_to_csv(dataframe, path, **kwargs): dataframe.to_csv(path, **kwargs) -def test_csv_read_partitioning(ray_start_regular_shared, tmp_path): - path = os.path.join(tmp_path, "country=us", "file.csv") - os.mkdir(os.path.dirname(path)) - df = pd.DataFrame({"numbers": [1, 2, 3], "letters": ["a", "b", "c"]}) - df.to_csv(path, index=False) - - ds = ray.data.read_csv(path) - - assert ds.take() == [ - {"numbers": 1, "letters": "a", "country": "us"}, - {"numbers": 2, "letters": "b", "country": "us"}, - {"numbers": 3, "letters": "c", "country": "us"}, - ] - - @pytest.mark.parametrize( "fs,data_path,endpoint_url", [ @@ -303,75 +283,6 @@ def test_csv_read_many_files_basic( pd.testing.assert_frame_equal(df, dsdf) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -def test_csv_read_many_files_partitioned( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_partitioned_df, - assert_base_partitioned_ds, -): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - - partition_keys = ["one"] - partition_path_encoder = PathPartitionEncoder.of( - base_dir=data_path, - field_names=partition_keys, - filesystem=fs, - ) - paths = [] - dfs = [] - num_dfs = FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD - num_rows = 6 * num_dfs - num_files = 2 * num_dfs - for i in range(num_dfs): - df = pd.DataFrame( - {"one": [1, 1, 1, 3, 3, 3], "two": list(range(6 * i, 6 * (i + 1)))} - ) - df_paths = write_partitioned_df( - df, - partition_keys, - partition_path_encoder, - partial(df_to_csv, storage_options=storage_options, index=False), - file_name_suffix=i, - ) - dfs.append(df) - paths.extend(df_paths) - - ds = ray.data.read_csv( - paths, - filesystem=fs, - partitioning=partition_path_encoder.scheme, - override_num_blocks=num_files, - ) - - assert_base_partitioned_ds( - ds, - count=num_rows, - num_input_files=num_files, - schema=Schema(pa.schema([("one", pa.int64()), ("two", pa.int64())])), - sorted_values=sorted( - itertools.chain.from_iterable( - list( - map(list, zip([1, 1, 1, 3, 3, 3], list(range(6 * i, 6 * (i + 1))))) - ) - for i in range(num_dfs) - ) - ), - ) - - @pytest.mark.parametrize( "fs,data_path,endpoint_url", [ @@ -417,226 +328,6 @@ def test_csv_read_many_files_diff_dirs( pd.testing.assert_frame_equal(df, dsdf) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ( - lazy_fixture("s3_fs_with_anonymous_crendential"), - lazy_fixture("s3_path_with_anonymous_crendential"), - lazy_fixture("s3_server"), - ), - ], -) -def test_csv_read_partitioned_hive_implicit( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - storage_options = ( - {} - if endpoint_url is None - else dict(client_kwargs=dict(endpoint_url=endpoint_url)) - ) - partition_keys = ["one"] - partition_path_encoder = PathPartitionEncoder.of( - base_dir=data_path, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - partial(df_to_csv, storage_options=storage_options, index=False), - ) - ds = ray.data.read_csv( - data_path, - partition_filter=PathPartitionFilter.of(None, filesystem=fs), - filesystem=fs, - ) - assert_base_partitioned_ds(ds) - - -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ( - lazy_fixture("s3_fs_with_anonymous_crendential"), - lazy_fixture("s3_path_with_anonymous_crendential"), - lazy_fixture("s3_server"), - ), - ], -) -def test_csv_read_partitioned_styles_explicit( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - storage_options = ( - {} - if endpoint_url is None - else dict(client_kwargs=dict(endpoint_url=endpoint_url)) - ) - partition_keys = ["one"] - for style in [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]: - base_dir = os.path.join(data_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - partial(df_to_csv, storage_options=storage_options, index=False), - ) - partition_path_filter = PathPartitionFilter.of( - None, - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - ds = ray.data.read_csv( - base_dir, - partition_filter=partition_path_filter, - filesystem=fs, - ) - assert_base_partitioned_ds(ds) - - -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -@pytest.mark.parametrize("style", [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]) -def test_csv_read_partitioned_with_filter( - style, - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - storage_options = ( - {} - if endpoint_url is None - else dict(client_kwargs=dict(endpoint_url=endpoint_url)) - ) - partition_keys = ["one"] - file_writer_fn = partial(df_to_csv, storage_options=storage_options, index=False) - - def skip_unpartitioned(kv_dict): - return bool(kv_dict) - - base_dir = os.path.join(data_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - file_writer_fn, - ) - file_writer_fn(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.csv")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - filter_fn=skip_unpartitioned, - ) - ds = ray.data.read_csv( - base_dir, - partition_filter=partition_path_filter, - filesystem=fs, - ) - assert_base_partitioned_ds(ds) - - -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -@pytest.mark.parametrize("style", [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]) -def test_csv_read_partitioned_with_filter_multikey( - style, - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - storage_options = ( - {} - if endpoint_url is None - else dict(client_kwargs=dict(endpoint_url=endpoint_url)) - ) - partition_keys = ["one", "two"] - file_writer_fn = partial(df_to_csv, storage_options=storage_options, index=False) - - def keep_expected_partitions(kv_dict): - keep = bool(kv_dict) and ( - (kv_dict["one"] == "1" and kv_dict["two"] in {"a", "b", "c"}) - or (kv_dict["one"] == "3" and kv_dict["two"] in {"e", "f", "g"}) - ) - return keep - - base_dir = os.path.join(data_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - file_writer_fn, - ) - df = pd.DataFrame({"1": [1]}) - file_writer_fn(df, os.path.join(data_path, "test0.csv")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - filter_fn=keep_expected_partitions, - ) - ds = ray.data.read_csv( - data_path, - partition_filter=partition_path_filter, - filesystem=fs, - override_num_blocks=6, - ) - assert_base_partitioned_ds(ds, num_input_files=6) - - def test_csv_write( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): diff --git a/python/ray/data/tests/test_file_based_datasource.py b/python/ray/data/tests/test_file_based_datasource.py index a73d72fbee5b..5d2df56f3cf2 100644 --- a/python/ray/data/tests/test_file_based_datasource.py +++ b/python/ray/data/tests/test_file_based_datasource.py @@ -1,13 +1,19 @@ import os -from typing import Iterator +from typing import Any, Dict, Iterator, List import pyarrow import pytest import ray from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder -from ray.data.block import Block +from ray.data.block import Block, BlockAccessor +from ray.data.datasource.datasource import ReadTask from ray.data.datasource.file_based_datasource import FileBasedDatasource +from ray.data.datasource.partitioning import ( + Partitioning, + PartitionStyle, + PathPartitionFilter, +) class MockFileBasedDatasource(FileBasedDatasource): @@ -17,6 +23,151 @@ def _read_stream(self, f: "pyarrow.NativeFile", path: str) -> Iterator[Block]: yield builder.build() +def execute_read_tasks(tasks: List[ReadTask]) -> List[Dict[str, Any]]: + """Execute the read tasks and return the resulting rows. + + The motivation for this utility function is so that we can test datasources without + scheduling Ray tasks. + """ + builder = DelegatingBlockBuilder() + for task in tasks: + for block in task(): + builder.add_block(block) + block = builder.build() + + block_accessor = BlockAccessor.for_block(block) + rows = list(block_accessor.iter_rows(public_row_format=True)) + + return rows + + +def test_partitioning_hive(ray_start_regular_shared, tmp_path): + path = os.path.join(tmp_path, "country=us") + os.mkdir(path) + with open(os.path.join(path, "file.txt"), "wb") as file: + file.write(b"") + + datasource = MockFileBasedDatasource(tmp_path, partitioning=Partitioning("hive")) + + tasks = datasource.get_read_tasks(1) + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b"", "country": "us"}] + + +def test_partition_filter_hive(ray_start_regular_shared, tmp_path): + for country in ["us", "jp"]: + path = os.path.join(tmp_path, f"country={country}") + os.mkdir(path) + with open(os.path.join(path, "file.txt"), "wb") as file: + file.write(b"") + + filter = PathPartitionFilter.of( + style=PartitionStyle.HIVE, + filter_fn=lambda partitions: partitions["country"] == "us", + ) + datasource = MockFileBasedDatasource( + tmp_path, partitioning=Partitioning("hive"), partition_filter=filter + ) + + tasks = datasource.get_read_tasks(1) + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b"", "country": "us"}] + + +def test_partitioning_dir(ray_start_regular_shared, tmp_path): + path = os.path.join(tmp_path, "us") + os.mkdir(path) + with open(os.path.join(path, "file.txt"), "wb") as file: + file.write(b"") + + datasource = MockFileBasedDatasource( + tmp_path, + partitioning=Partitioning("dir", field_names=["country"], base_dir=tmp_path), + ) + + tasks = datasource.get_read_tasks(1) + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b"", "country": "us"}] + + +def test_partition_filter_dir(ray_start_regular_shared, tmp_path): + for country in ["us", "jp"]: + path = os.path.join(tmp_path, country) + os.mkdir(path) + with open(os.path.join(path, "file.txt"), "wb") as file: + file.write(b"") + + filter = PathPartitionFilter.of( + style=PartitionStyle.DIRECTORY, + base_dir=tmp_path, + field_names=["country"], + filter_fn=lambda partitions: partitions["country"] == "us", + ) + partitioning = Partitioning("dir", field_names=["country"], base_dir=tmp_path) + datasource = MockFileBasedDatasource( + tmp_path, partitioning=partitioning, partition_filter=filter + ) + + tasks = datasource.get_read_tasks(1) + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b"", "country": "us"}] + + +def test_partitioning_raises_on_mismatch(ray_start_regular_shared, tmp_path): + """Test when the partition key already exists in the data.""" + + class StubDatasource(FileBasedDatasource): + def _read_stream(self, f: "pyarrow.NativeFile", path: str) -> Iterator[Block]: + builder = DelegatingBlockBuilder() + builder.add({"country": f.readall()}) + yield builder.build() + + path = os.path.join(tmp_path, "country=us") + os.mkdir(path) + with open(os.path.join(path, "file.txt"), "wb") as file: + file.write(b"jp") + + datasource = StubDatasource(tmp_path, partitioning=Partitioning("hive")) + + # The data is `jp`, but the path contains `us`. Since the values are different, + # the datasource should raise a ValueError. + with pytest.raises(ValueError): + tasks = datasource.get_read_tasks(1) + execute_read_tasks(tasks) + + +def test_ignore_missing_paths_true(ray_start_regular_shared, tmp_path): + path = os.path.join(tmp_path, "file.txt") + with open(path, "wb") as file: + file.write(b"") + + datasource = MockFileBasedDatasource( + [path, "missing.txt"], ignore_missing_paths=True + ) + + tasks = datasource.get_read_tasks(1) + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b""}] + + +def test_ignore_missing_paths_false(ray_start_regular_shared, tmp_path): + path = os.path.join(tmp_path, "file.txt") + with open(path, "wb") as file: + file.write(b"") + + with pytest.raises(FileNotFoundError): + datasource = MockFileBasedDatasource( + [path, "missing.txt"], ignore_missing_paths=False + ) + tasks = datasource.get_read_tasks(1) + execute_read_tasks(tasks) + + def test_local_paths(ray_start_regular_shared, tmp_path): path = os.path.join(tmp_path, "test.txt") with open(path, "w"): diff --git a/python/ray/data/tests/test_image.py b/python/ray/data/tests/test_image.py index a7e72b10081c..535c3d6ab64a 100644 --- a/python/ray/data/tests/test_image.py +++ b/python/ray/data/tests/test_image.py @@ -3,7 +3,6 @@ from typing import Dict import numpy as np -import pyarrow as pa import pytest from fsspec.implementations.local import LocalFileSystem from PIL import Image @@ -16,7 +15,6 @@ ImageDatasource, ImageFileMetadataProvider, ) -from ray.data.datasource import Partitioning from ray.data.datasource.file_meta_provider import FastFileMetadataProvider from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa @@ -71,27 +69,6 @@ def test_file_metadata_provider(self, ray_start_regular_shared): ) assert ds.count() == 3 - @pytest.mark.parametrize("ignore_missing_paths", [True, False]) - def test_ignore_missing_paths(self, ray_start_regular_shared, ignore_missing_paths): - paths = [ - "example://image-datasets/simple/image1.jpg", - "example://missing.jpg", - "example://image-datasets/missing/", - ] - - if ignore_missing_paths: - ds = ray.data.read_images(paths, ignore_missing_paths=ignore_missing_paths) - # example:// directive redirects to /ray/python/ray/data/examples/data - assert len(ds.input_files()) == 1 and ds.input_files()[0].endswith( - "ray/data/examples/data/image-datasets/simple/image1.jpg", - ) - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_images( - paths, ignore_missing_paths=ignore_missing_paths - ) - ds.materialize() - def test_filtering(self, ray_start_regular_shared): # "different-extensions" contains three images and two non-images. ds = ray.data.read_images("example://image-datasets/different-extensions") @@ -130,27 +107,6 @@ def test_mode( ds = ray.data.read_images("example://image-datasets/different-modes", mode=mode) assert all([record["image"].shape == expected_shape for record in ds.take()]) - def test_partitioning( - self, ray_start_regular_shared, enable_automatic_tensor_extension_cast - ): - root = "example://image-datasets/dir-partitioned" - partitioning = Partitioning("dir", base_dir=root, field_names=["label"]) - - ds = ray.data.read_images(root, partitioning=partitioning) - - assert ds.schema().names == ["image", "label"] - - image_type, label_type = ds.schema().types - assert isinstance(image_type, get_arrow_extension_fixed_shape_tensor_types()) - assert pa.types.is_string(label_type) - - df = ds.to_pandas() - assert sorted(df["label"]) == ["cat", "cat", "dog"] - if enable_automatic_tensor_extension_cast: - assert all(tensor.shape == (32, 32, 3) for tensor in df["image"]) - else: - assert all(tensor.numpy_shape == (32, 32, 3) for tensor in df["image"]) - def test_random_shuffle(self, ray_start_regular_shared, restore_data_context): # NOTE: set preserve_order to True to allow consistent output behavior. context = ray.data.DataContext.get_current() diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index 7f5364a0f2b7..a7336f04ce51 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -2,7 +2,6 @@ import json import os import shutil -from functools import partial import pandas as pd import pyarrow as pa @@ -20,39 +19,18 @@ from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, - PartitionStyle, - PathPartitionFilter, ) from ray.data.datasource.file_based_datasource import ( FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD, ) from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa -from ray.data.tests.test_partitioning import PathPartitionEncoder from ray.tests.conftest import * # noqa # Set the test timeout to 6 minutes pytestmark = pytest.mark.timeout(360) -def test_json_read_partitioning( - ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default -): - path = os.path.join(tmp_path, "country=us") - os.mkdir(path) - with open(os.path.join(path, "file1.json"), "w") as file: - json.dump({"number": 0, "string": "foo"}, file) - with open(os.path.join(path, "file2.json"), "w") as file: - json.dump({"number": 1, "string": "bar"}, file) - - ds = ray.data.read_json(path) - - assert sorted(ds.take(), key=lambda row: row["number"]) == [ - {"number": 0, "string": "foo", "country": "us"}, - {"number": 1, "string": "bar", "country": "us"}, - ] - - @pytest.mark.parametrize( "fs,data_path,endpoint_url", [ @@ -214,31 +192,6 @@ def test_json_read( fs.delete_dir(_unwrap_protocol(path)) -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_read_json_ignore_missing_paths( - ray_start_regular_shared, - local_path, - ignore_missing_paths, - target_max_block_size_infinite_or_default, -): - df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(local_path, "test1.json") - df1.to_json(path1, orient="records", lines=True) - - paths = [ - path1, - "missing.json", - ] - - if ignore_missing_paths: - ds = ray.data.read_json(paths, ignore_missing_paths=ignore_missing_paths) - assert ds.input_files() == [path1] - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_json(paths, ignore_missing_paths=ignore_missing_paths) - ds.materialize() - - def test_zipped_json_read( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): @@ -427,73 +380,6 @@ def test_json_read_with_parse_options( assert ds.schema() == Schema(pa.schema([("two", pa.string())])) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -@pytest.mark.parametrize("style", [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]) -def test_json_read_partitioned_with_filter( - style, - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - write_base_partitioned_df, - assert_base_partitioned_ds, - target_max_block_size_infinite_or_default, -): - def df_to_json(dataframe, path, **kwargs): - dataframe.to_json(path, **kwargs) - - storage_options = ( - {} - if endpoint_url is None - else dict(client_kwargs=dict(endpoint_url=endpoint_url)) - ) - file_writer_fn = partial( - df_to_json, - orient="records", - lines=True, - storage_options=storage_options, - ) - partition_keys = ["one"] - - def skip_unpartitioned(kv_dict): - return bool(kv_dict) - - base_dir = os.path.join(data_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filesystem=fs, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - file_writer_fn, - ) - file_writer_fn(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.json")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filter_fn=skip_unpartitioned, - filesystem=fs, - ) - ds = ray.data.read_json( - base_dir, - partition_filter=partition_path_filter, - file_extensions=None, - filesystem=fs, - ) - assert_base_partitioned_ds(ds) - - @pytest.mark.parametrize("override_num_blocks", [None, 1, 3]) def test_jsonl_lists( ray_start_regular_shared, diff --git a/python/ray/data/tests/test_numpy.py b/python/ray/data/tests/test_numpy.py index a4240c18041a..ee03ddb4315b 100644 --- a/python/ray/data/tests/test_numpy.py +++ b/python/ray/data/tests/test_numpy.py @@ -12,14 +12,10 @@ from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, - Partitioning, - PartitionStyle, - PathPartitionFilter, ) from ray.data.extensions.tensor_extension import ArrowTensorType from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa -from ray.data.tests.test_partitioning import PathPartitionEncoder from ray.data.tests.util import extract_values from ray.tests.conftest import * # noqa @@ -32,17 +28,6 @@ def _get_tensor_type(): ) -def test_numpy_read_partitioning(ray_start_regular_shared, tmp_path): - path = os.path.join(tmp_path, "country=us", "data.npy") - os.mkdir(os.path.dirname(path)) - np.save(path, np.arange(4).reshape([2, 2])) - - ds = ray.data.read_numpy(path, partitioning=Partitioning("hive")) - - assert ds.schema().names == ["data", "country"] - assert [r["country"] for r in ds.take()] == ["us", "us"] - - @pytest.mark.parametrize("from_ref", [False, True]) def test_from_numpy(ray_start_regular_shared, from_ref): arr1 = np.expand_dims(np.arange(0, 4), axis=1) @@ -158,28 +143,6 @@ def test_numpy_read_x(ray_start_regular_shared, tmp_path): assert [v["data"].item() for v in ds.take(2)] == [0, 1] -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_numpy_read_ignore_missing_paths( - ray_start_regular_shared, tmp_path, ignore_missing_paths -): - path = os.path.join(tmp_path, "test_np_dir") - os.mkdir(path) - np.save(os.path.join(path, "test.npy"), np.expand_dims(np.arange(0, 10), 1)) - - paths = [ - os.path.join(path, "test.npy"), - "missing.npy", - ] - - if ignore_missing_paths: - ds = ray.data.read_numpy(paths, ignore_missing_paths=ignore_missing_paths) - assert ds.input_files() == [paths[0]] - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_numpy(paths, ignore_missing_paths=ignore_missing_paths) - ds.materialize() - - def test_numpy_read_meta_provider(ray_start_regular_shared, tmp_path): tensor_type = _get_tensor_type() @@ -203,64 +166,6 @@ def test_numpy_read_meta_provider(ray_start_regular_shared, tmp_path): ) -@pytest.mark.parametrize("style", [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]) -def test_numpy_read_partitioned_with_filter( - style, - ray_start_regular_shared, - tmp_path, - write_partitioned_df, - assert_base_partitioned_ds, -): - tensor_type = _get_tensor_type() - - def df_to_np(dataframe, path, **kwargs): - np.save(path, dataframe.to_numpy(dtype=np.dtype(np.int8)), **kwargs) - - df = pd.DataFrame({"one": [1, 1, 1, 3, 3, 3], "two": [0, 1, 2, 3, 4, 5]}) - partition_keys = ["one"] - - def skip_unpartitioned(kv_dict): - return bool(kv_dict) - - base_dir = os.path.join(tmp_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - ) - write_partitioned_df( - df, - partition_keys, - partition_path_encoder, - df_to_np, - ) - df_to_np(df, os.path.join(base_dir, "test.npy")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filter_fn=skip_unpartitioned, - ) - ds = ray.data.read_numpy(base_dir, partition_filter=partition_path_filter) - - def sorted_values_transform_fn(sorted_values): - # HACK: `assert_base_partitioned_ds` doesn't properly sort the values. This is a - # hack to make the test pass. - # TODO(@bveeramani): Clean this up. - actually_sorted_values = sorted(sorted_values[0], key=lambda item: tuple(item)) - return str([actually_sorted_values]) - - vals = [[1, 0], [1, 1], [1, 2], [3, 3], [3, 4], [3, 5]] - val_str = "".join(f"array({v}, dtype=int8), " for v in vals)[:-2] - assert_base_partitioned_ds( - ds, - schema=Schema(pa.schema([("data", tensor_type((2,), pa.int8()))])), - sorted_values=f"[[{val_str}]]", - ds_take_transform_fn=lambda taken: [extract_values("data", taken)], - sorted_values_transform_fn=sorted_values_transform_fn, - ) - - def test_numpy_write(ray_start_regular_shared, tmp_path): ds = ray.data.range_tensor(1) diff --git a/python/ray/data/tests/test_text.py b/python/ray/data/tests/test_text.py index af7f142085db..3a56fc513dda 100644 --- a/python/ray/data/tests/test_text.py +++ b/python/ray/data/tests/test_text.py @@ -1,25 +1,17 @@ import os -import pandas as pd -import pyarrow as pa import pytest import ray -from ray.data import Schema from ray.data._internal.execution.interfaces.ref_bundle import ( _ref_bundles_iterator_to_block_refs_list, ) from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, - Partitioning, - PartitionStyle, - PathPartitionFilter, ) from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa -from ray.data.tests.test_partitioning import PathPartitionEncoder -from ray.data.tests.util import Counter from ray.tests.conftest import * # noqa @@ -27,20 +19,6 @@ def _to_lines(rows): return [row["text"] for row in rows] -def test_read_text_partitioning(ray_start_regular_shared, tmp_path): - path = os.path.join(tmp_path, "country=us") - os.mkdir(path) - with open(os.path.join(path, "file.txt"), "w") as f: - f.write("foo\nbar\nbaz") - - ds = ray.data.read_text(path, partitioning=Partitioning("hive")) - - df = ds.to_pandas() - assert list(df.columns) == ["text", "country"] - assert sorted(df["text"]) == ["bar", "baz", "foo"] - assert list(df["country"]) == ["us", "us", "us"] - - def test_empty_text_files(ray_start_regular_shared, tmp_path): path = os.path.join(tmp_path, "test_text") os.mkdir(path) @@ -69,30 +47,6 @@ def test_read_text(ray_start_regular_shared, tmp_path): assert ds.count() == 4 -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_read_text_ignore_missing_paths( - ray_start_regular_shared, tmp_path, ignore_missing_paths -): - path = os.path.join(tmp_path, "test_text") - os.mkdir(path) - with open(os.path.join(path, "file1.txt"), "w") as f: - f.write("hello\n") - f.write("world") - - paths = [ - path, - "missing.txt", - ] - - if ignore_missing_paths: - ds = ray.data.read_text(paths, ignore_missing_paths=ignore_missing_paths) - assert ds.input_files() == [os.path.join(path, "file1.txt")] - else: - with pytest.raises(FileNotFoundError): - ds = ray.data.read_text(paths, ignore_missing_paths=ignore_missing_paths) - ds.materialize() - - def test_read_text_meta_provider( ray_start_regular_shared, tmp_path, @@ -117,57 +71,6 @@ def test_read_text_meta_provider( ) -def test_read_text_partitioned_with_filter( - shutdown_only, - tmp_path, - write_base_partitioned_df, - assert_base_partitioned_ds, -): - def df_to_text(dataframe, path, **kwargs): - dataframe.to_string(path, index=False, header=False, **kwargs) - - partition_keys = ["one"] - kept_file_counter = Counter.remote() - skipped_file_counter = Counter.remote() - - def skip_unpartitioned(kv_dict): - keep = bool(kv_dict) - counter = kept_file_counter if keep else skipped_file_counter - ray.get(counter.increment.remote()) - return keep - - for style in [PartitionStyle.HIVE, PartitionStyle.DIRECTORY]: - base_dir = os.path.join(tmp_path, style.value) - partition_path_encoder = PathPartitionEncoder.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - ) - write_base_partitioned_df( - partition_keys, - partition_path_encoder, - df_to_text, - ) - df_to_text(pd.DataFrame({"1": [1]}), os.path.join(base_dir, "test.txt")) - partition_path_filter = PathPartitionFilter.of( - style=style, - base_dir=base_dir, - field_names=partition_keys, - filter_fn=skip_unpartitioned, - ) - ds = ray.data.read_text(base_dir, partition_filter=partition_path_filter) - assert_base_partitioned_ds( - ds, - schema=Schema(pa.schema([("text", pa.string())])), - sorted_values=["1 a", "1 b", "1 c", "3 e", "3 f", "3 g"], - ds_take_transform_fn=_to_lines, - ) - assert ray.get(kept_file_counter.get.remote()) == 2 - assert ray.get(skipped_file_counter.get.remote()) == 1 - ray.get(kept_file_counter.reset.remote()) - ray.get(skipped_file_counter.reset.remote()) - - def test_read_text_remote_args(ray_start_cluster, tmp_path): cluster = ray_start_cluster cluster.add_node( @@ -177,6 +80,7 @@ def test_read_text_remote_args(ray_start_cluster, tmp_path): ) cluster.add_node(resources={"bar": 100}, num_cpus=1) + ray.shutdown() ray.init(cluster.address) @ray.remote diff --git a/python/ray/data/tests/test_tfrecords.py b/python/ray/data/tests/test_tfrecords.py index 3d39cd588fdc..31c355f95db3 100644 --- a/python/ray/data/tests/test_tfrecords.py +++ b/python/ray/data/tests/test_tfrecords.py @@ -489,36 +489,6 @@ def test_read_tfrecords_ray_remote_args( assert kwargs["ray_remote_args"] == ray_remote_args -@pytest.mark.parametrize("ignore_missing_paths", [True, False]) -def test_read_tfrecords_ignore_missing_paths( - ray_start_regular_shared, tmp_path, ignore_missing_paths -): - import tensorflow as tf - - example = tf_records_empty()[0] - - path = os.path.join(tmp_path, "data.tfrecords") - with tf.io.TFRecordWriter(path=path) as writer: - writer.write(example.SerializeToString()) - - paths = [ - path, - "missing.tfrecords", - ] - - if ignore_missing_paths: - ds = read_tfrecords_with_tfx_read_override( - path, ignore_missing_paths=ignore_missing_paths - ) - assert ds.input_files() == [path] - else: - with pytest.raises(FileNotFoundError): - ds = read_tfrecords_with_tfx_read_override( - paths, ignore_missing_paths=ignore_missing_paths - ) - ds.materialize() - - @pytest.mark.parametrize("with_tf_schema", (True, False)) def test_write_tfrecords( with_tf_schema, From 3b760d172dfa2275a8b56802af802433c44d55cd Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 8 Sep 2025 16:22:35 -0700 Subject: [PATCH 1102/1566] [cpp] performs rename when generating (#56338) this avoid the template files being treated as source files. also cleans up a bit the cpp template generation logic. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- cpp/BUILD.bazel | 5 ----- python/ray/scripts/scripts.py | 32 ++++++++++++++------------------ 2 files changed, 14 insertions(+), 23 deletions(-) diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 745316e11a32..9ab6348cac9b 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -140,11 +140,6 @@ pkg_files( name = "example_files", srcs = glob(["example/*"]), prefix = "ray/cpp/example/", - renames = { - "example/_WORKSPACE": "WORKSPACE", - "example/_BUILD.bazel": "BUILD.bazel", - "example/_.bazelrc": ".bazelrc", - }, visibility = ["//visibility:private"], ) diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index e05657a5d3c2..b1aa3e6440bb 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -2619,33 +2619,29 @@ def cpp(show_library_path, generate_bazel_project_template_to): cli_logger.print("Ray C++ include path {} ", cf.bold(f"{include_dir}")) cli_logger.print("Ray C++ library path {} ", cf.bold(f"{lib_dir}")) if generate_bazel_project_template_to: + out_dir = generate_bazel_project_template_to # copytree expects that the dst dir doesn't exist # so we manually delete it if it exists. - if os.path.exists(generate_bazel_project_template_to): - shutil.rmtree(generate_bazel_project_template_to) - shutil.copytree(cpp_templete_dir, generate_bazel_project_template_to) - out_include_dir = os.path.join( - generate_bazel_project_template_to, "thirdparty/include" - ) - if os.path.exists(out_include_dir): - shutil.rmtree(out_include_dir) + if os.path.exists(out_dir): + shutil.rmtree(out_dir) + + shutil.copytree(cpp_templete_dir, out_dir) + for filename in ["_WORKSPACE", "_BUILD.bazel", "_.bazelrc"]: + # Renames the bazel related files by removing the leading underscore. + dest_name = os.path.join(out_dir, filename[1:]) + shutil.move(os.path.join(out_dir, filename), dest_name) + + out_include_dir = os.path.join(out_dir, "thirdparty/include") shutil.copytree(include_dir, out_include_dir) - out_lib_dir = os.path.join(generate_bazel_project_template_to, "thirdparty/lib") - if os.path.exists(out_lib_dir): - shutil.rmtree(out_lib_dir) + out_lib_dir = os.path.join(out_dir, "thirdparty/lib") shutil.copytree(lib_dir, out_lib_dir) cli_logger.print( "Project template generated to {}", - cf.bold(f"{os.path.abspath(generate_bazel_project_template_to)}"), + cf.bold(f"{os.path.abspath(out_dir)}"), ) cli_logger.print("To build and run this template, run") - cli_logger.print( - cf.bold( - f" cd {os.path.abspath(generate_bazel_project_template_to)}" - " && bash run.sh" - ) - ) + cli_logger.print(cf.bold(f" cd {os.path.abspath(out_dir)} && bash run.sh")) @cli.command(hidden=True) From d7a2c2ccf7660b7960b8aa3e87f763f1159edf5b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 8 Sep 2025 16:47:19 -0700 Subject: [PATCH 1103/1566] [ci] raydepsets check lock files (#55856) Including lock file checking as part of raydepsets --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 83 +++++++++++++++++- ci/raydepsets/tests/test_cli.py | 147 ++++++++++++++++++++++++++------ 2 files changed, 199 insertions(+), 31 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 77733f025943..aae4b6de5c83 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -2,9 +2,12 @@ import subprocess from pathlib import Path from typing import List, Optional - +import shutil import click import runfiles +import tempfile +import difflib +import sys from networkx import DiGraph, topological_sort, ancestors as networkx_ancestors from ci.raydepsets.workspace import Depset, Workspace @@ -44,11 +47,17 @@ def cli(): @click.option( "--uv-cache-dir", default=None, help="The directory to cache uv dependencies" ) +@click.option( + "--check", + is_flag=True, + help="Check the the compiled dependencies are valid. Only compatible with generating all dependency sets.", +) def build( config_path: str, workspace_dir: Optional[str], name: Optional[str], uv_cache_dir: Optional[str], + check: Optional[bool], ): """ Build dependency sets from a config file. @@ -59,8 +68,17 @@ def build( config_path=config_path, workspace_dir=workspace_dir, uv_cache_dir=uv_cache_dir, + check=check, ) manager.execute(name) + if check: + try: + manager.diff_lock_files() + except RuntimeError as e: + click.echo(e, err=True) + sys.exit(1) + finally: + manager.cleanup() class DependencySetManager: @@ -69,14 +87,63 @@ def __init__( config_path: str = None, workspace_dir: Optional[str] = None, uv_cache_dir: Optional[str] = None, + check: Optional[bool] = False, ): self.workspace = Workspace(workspace_dir) self.config = self.workspace.load_config(config_path) + if check: + self.temp_dir = tempfile.mkdtemp() + self.output_paths = self.get_output_paths() + self.copy_to_temp_dir() self.build_graph = DiGraph() self._build() self._uv_binary = _uv_binary() self._uv_cache_dir = uv_cache_dir + def get_output_paths(self) -> List[Path]: + output_paths = [] + for depset in self.config.depsets: + output_paths.append(Path(depset.output)) + return output_paths + + def copy_to_temp_dir(self): + """Copy the lock files from source file paths to temp dir.""" + for output_path in self.output_paths: + source_fp, target_fp = self.get_source_and_dest(output_path) + target_fp.parent.mkdir(parents=True, exist_ok=True) + shutil.copy2( + source_fp, + target_fp, + ) + + def get_diffs(self) -> List[str]: + diffs = [] + for output_path in self.output_paths: + new_lock_file_fp, old_lock_file_fp = self.get_source_and_dest(output_path) + old_lock_file_contents = self.read_lock_file(old_lock_file_fp) + new_lock_file_contents = self.read_lock_file(new_lock_file_fp) + for diff in difflib.unified_diff( + old_lock_file_contents, + new_lock_file_contents, + fromfile=new_lock_file_fp.as_posix(), + tofile=old_lock_file_fp.as_posix(), + lineterm="", + ): + diffs.append(diff) + return diffs + + def diff_lock_files(self): + diffs = self.get_diffs() + if len(diffs) > 0: + raise RuntimeError( + "Lock files are not up to date. Please update lock files and push the changes.\n" + + "".join(diffs) + ) + click.echo("Lock files are up to date.") + + def get_source_and_dest(self, output_path: str) -> tuple[Path, Path]: + return (self.get_path(output_path), (Path(self.temp_dir) / output_path)) + def _build(self): for depset in self.config.depsets: if depset.operation == "compile": @@ -235,8 +302,14 @@ def expand( override_flags=override_flags, ) - def get_path(self, path: str) -> str: - return (Path(self.workspace.dir) / path).as_posix() + def read_lock_file(self, file_path: Path) -> List[str]: + if not file_path.exists(): + raise RuntimeError(f"Lock file {file_path} does not exist") + with open(file_path, "r") as f: + return f.readlines() + + def get_path(self, path: str) -> Path: + return Path(self.workspace.dir) / path def check_subset_exists(self, source_depset: Depset, requirements: List[str]): for req in requirements: @@ -245,6 +318,10 @@ def check_subset_exists(self, source_depset: Depset, requirements: List[str]): f"Requirement {req} is not a subset of {source_depset.name}" ) + def cleanup(self): + if self.temp_dir: + shutil.rmtree(self.temp_dir) + def _get_bytes(packages: List[str]) -> bytes: return ("\n".join(packages) + "\n").encode("utf-8") diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 4a7fa2d5237b..70ff7f2d89e6 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -2,10 +2,9 @@ import sys import tempfile import unittest -from pathlib import Path from typing import Optional - import pytest +from pathlib import Path import runfiles from click.testing import CliRunner from networkx import topological_sort @@ -35,7 +34,7 @@ def _create_test_manager( - tmpdir: str, config_path: Optional[str] = None + tmpdir: str, config_path: Optional[str] = None, check: bool = False ) -> DependencySetManager: if config_path is None: config_path = "test.depsets.yaml" @@ -44,22 +43,41 @@ def _create_test_manager( config_path=config_path, workspace_dir=tmpdir, uv_cache_dir=uv_cache_dir.as_posix(), + check=check, ) +def _overwrite_config_file(tmpdir: str, depset: Depset): + with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: + f.write( + f""" +depsets: + - name: {depset.name} + operation: {depset.operation} + constraints: + - {depset.constraints} + requirements: + - {depset.requirements} + output: {depset.output} + """ + ) + + class TestCli(unittest.TestCase): def test_cli_load_fail_no_config(self): - result = CliRunner().invoke( - build, - [ - "fake_path/test.depsets.yaml", - "--workspace-dir", - "/ci/raydepsets/test_data", - ], - ) - assert result.exit_code == 1 - assert isinstance(result.exception, FileNotFoundError) - assert "No such file or directory" in str(result.exception) + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + result = CliRunner().invoke( + build, + [ + "fake_path/test.depsets.yaml", + "--workspace-dir", + tmpdir, + ], + ) + assert result.exit_code == 1 + assert isinstance(result.exception, FileNotFoundError) + assert "No such file or directory" in str(result.exception) def test_dependency_set_manager_init(self): with tempfile.TemporaryDirectory() as tmpdir: @@ -166,7 +184,6 @@ def test_compile_by_depset_name(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) uv_cache_dir = Path(tmpdir) / "uv_cache" - result = CliRunner().invoke( build, [ @@ -179,7 +196,6 @@ def test_compile_by_depset_name(self): uv_cache_dir.as_posix(), ], ) - output_fp = Path(tmpdir) / "requirements_compiled.txt" assert output_fp.is_file() assert result.exit_code == 0 @@ -284,7 +300,7 @@ def test_get_path(self): manager = _create_test_manager(tmpdir) assert ( manager.get_path("requirements_test.txt") - == f"{tmpdir}/requirements_test.txt" + == Path(tmpdir) / "requirements_test.txt" ) def test_append_uv_flags_exist_in_output(self): @@ -419,17 +435,13 @@ def test_build_graph_predecessors(self): def test_build_graph_bad_operation(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) - with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: - f.write( - """ -depsets: - - name: invalid_op_depset - operation: invalid_op - requirements: - - requirements_test.txt - output: requirements_compiled_invalid_op.txt - """ - ) + depset = Depset( + name="invalid_op_depset", + operation="invalid_op", + requirements=["requirements_test.txt"], + output="requirements_compiled_invalid_op.txt", + ) + _overwrite_config_file(tmpdir, depset) with self.assertRaises(ValueError): _create_test_manager(tmpdir) @@ -568,6 +580,85 @@ def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): with self.assertRaises(KeyError): _get_depset(manager.config.depsets, "build_args_test_depset_py311") + def test_copy_lock_files_to_temp_dir(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + depset = Depset( + name="check_depset", + operation="compile", + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + output="requirements_compiled_test.txt", + ) + _overwrite_config_file(tmpdir, depset) + manager = _create_test_manager(tmpdir, check=True) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + append_flags=["--no-annotate", "--no-header"], + name="check_depset", + output="requirements_compiled_test.txt", + ) + assert ( + Path(manager.workspace.dir) / "requirements_compiled_test.txt" + ).exists() + assert (Path(manager.temp_dir) / "requirements_compiled_test.txt").exists() + + def test_diff_lock_files_out_of_date(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + depset = Depset( + name="check_depset", + operation="compile", + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + output="requirements_compiled_test.txt", + ) + _overwrite_config_file(tmpdir, depset) + manager = _create_test_manager(tmpdir, check=True) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + append_flags=["--no-annotate", "--no-header"], + name="check_depset", + output="requirements_compiled_test.txt", + ) + replace_in_file( + Path(manager.workspace.dir) / "requirements_compiled_test.txt", + "emoji==2.9.0", + "emoji==2.8.0", + ) + + with self.assertRaises(RuntimeError) as e: + manager.diff_lock_files() + assert ( + "Lock files are not up to date. Please update lock files and push the changes." + in str(e.exception) + ) + assert "+emoji==2.8.0" in str(e.exception) + assert "-emoji==2.9.0" in str(e.exception) + + def test_diff_lock_files_up_to_date(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + depset = Depset( + name="check_depset", + operation="compile", + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + output="requirements_compiled_test.txt", + ) + _overwrite_config_file(tmpdir, depset) + manager = _create_test_manager(tmpdir, check=True) + manager.compile( + constraints=["requirement_constraints_test.txt"], + requirements=["requirements_test.txt"], + append_flags=["--no-annotate", "--no-header"], + name="check_depset", + output="requirements_compiled_test.txt", + ) + manager.diff_lock_files() + def test_compile_with_packages(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) From 5d7dbd5831fb249da1d063794160451e34457137 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Mon, 8 Sep 2025 17:02:20 -0700 Subject: [PATCH 1104/1566] [data] Rename env var for enforce schemas (#56254) ## Why are these changes needed? As titled ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- python/ray/data/context.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/context.py b/python/ray/data/context.py index f39c5cd700c1..59bebbaa3ede 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -140,7 +140,7 @@ class ShuffleStrategy(str, enum.Enum): "RAY_DATA_ENABLE_PROGRESS_BAR_NAME_TRUNCATION", True ) -DEFAULT_ENFORCE_SCHEMAS = env_bool("RAY_DATA_ALLOW_ENFORCE_SCHEMAS", False) +DEFAULT_ENFORCE_SCHEMAS = env_bool("RAY_DATA_ENFORCE_SCHEMAS", False) DEFAULT_ENABLE_GET_OBJECT_LOCATIONS_FOR_METRICS = False From 6f0a95ed6029bd568c8958226ed8e086c1c30754 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 8 Sep 2025 20:02:20 -0700 Subject: [PATCH 1105/1566] [codeowner] remove aslonnie individual from many ownerships (#56364) delegating to ray-core and ray-ci teams and moving `_common` to core team leads Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 38e78b8a4cad..8c4dbb3c0fa3 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -39,7 +39,7 @@ # Common directory shared by core and the libraries. # @edoakes is the czar for now because the pattern is new. -/python/ray/_common/ @edoakes @aslonnie +/python/ray/_common/ @edoakes @jjyao # Ray data. /python/ray/data/ @ray-project/ray-data @@ -78,8 +78,8 @@ /python/requirements/ml/dl-gpu-requirements.txt @richardliaw @matthewdeng # Ray symbol export -/src/ray/ray_version_script.lds @aslonnie -/src/ray/ray_exported_symbols.lds @aslonnie +/src/ray/ray_version_script.lds @ray-project/ray-core +/src/ray/ray_exported_symbols.lds @ray-project/ray-core # Ray usage stats /python/ray/_private/usage/ @edoakes @richardliaw @jjyao @@ -111,8 +111,8 @@ # on their own. /release/ray_release/byod/*.sh -/.github/ISSUE_TEMPLATE/ @aslonnie +/.github/ISSUE_TEMPLATE/ @ray-project/ray-ci /.github/workflows/ @ray-project/ray-ci -/.gemini/ @edoakes @aslonnie +/.gemini/ @edoakes @ray-project/ray-ci From 2f9b0f8cc9de2e5f3b6b253c5268097b8acf40f6 Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 9 Sep 2025 12:37:10 +0800 Subject: [PATCH 1106/1566] [TRAIN][DOC] Fix documentation issues in train/examples directory: typos, grammar, and formatting errors (#56273) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR addresses various documentation issues found across the `doc/source/train/examples/` directory through a comprehensive manual review of all 30 files (RST, Jupyter notebooks, and Markdown). ## Issues Fixed ### RST Files (4 fixes) - **Reference formatting**: Fixed extra space in reference label `.. _transformers_torch_trainer_basic_example :` - **Title grammar**: Corrected "Fine-tune of Stable Diffusion" → "Fine-tuning of Stable Diffusion" - **URL errors**: Fixed duplicate protocol in URL `https://https://console.anyscale.com/...` - **Missing words**: Added missing verb "is" in "The Ray cluster now ready to handle workloads" ### Jupyter Notebooks (4 fixes) - **Grammar**: Fixed "the your machine" → "your machine" in text descriptions - **Word repetition**: Corrected "for for images" → "for images" in multiple instances - **Hyphenation**: Fixed "fine tunes" → "fine-tunes" for consistency - **Typos**: Corrected "dependecies" → "dependencies" ### Markdown Files - All files reviewed with no issues found ## Review Process The review followed a systematic approach: 1. Created comprehensive file listing and review guidelines 2. Manually reviewed each file for typos, syntax errors, and grammatical issues 3. Applied minimal, surgical fixes preserving original content structure 4. Maintained technical accuracy and existing writing style 5. Ensured consistency in terminology usage All changes are minimal and focused on fixing clear errors without optimizing or restructuring content. The documentation now has improved readability and professionalism while maintaining its technical accuracy. --------- Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/train/examples/accelerate/accelerate_example.rst | 2 +- doc/source/train/examples/aws-trainium/llama3.rst | 2 +- doc/source/train/examples/intel_gaudi/bert.ipynb | 2 +- .../pytorch/convert_existing_pytorch_code_to_ray_train.ipynb | 2 +- doc/source/train/examples/pytorch/dreambooth_finetuning.rst | 4 ++-- .../train/examples/pytorch/pytorch_resnet_finetune.ipynb | 4 ++-- .../transformers/huggingface_text_classification.ipynb | 2 +- .../transformers/transformers_torch_trainer_basic.rst | 2 +- 8 files changed, 10 insertions(+), 10 deletions(-) diff --git a/doc/source/train/examples/accelerate/accelerate_example.rst b/doc/source/train/examples/accelerate/accelerate_example.rst index d9e84c48d267..e3b941444615 100644 --- a/doc/source/train/examples/accelerate/accelerate_example.rst +++ b/doc/source/train/examples/accelerate/accelerate_example.rst @@ -5,7 +5,7 @@ Distributed Training with Hugging Face Accelerate .. raw:: html - + Run on Anyscale

    diff --git a/doc/source/train/examples/aws-trainium/llama3.rst b/doc/source/train/examples/aws-trainium/llama3.rst index 92af58efac8c..ff20e9b6e916 100644 --- a/doc/source/train/examples/aws-trainium/llama3.rst +++ b/doc/source/train/examples/aws-trainium/llama3.rst @@ -89,7 +89,7 @@ Run it in the background with the following command: Launching Ray Jobs ------------------ -The Ray cluster now ready to handle workloads. Initiate the data preparation and fine-tuning Ray jobs: +The Ray cluster is now ready to handle workloads. Initiate the data preparation and fine-tuning Ray jobs: 1. Launch the Ray job for downloading the dolly-15k dataset and the Llama3.1 8B model artifacts: diff --git a/doc/source/train/examples/intel_gaudi/bert.ipynb b/doc/source/train/examples/intel_gaudi/bert.ipynb index c45532960111..c48d34476af3 100644 --- a/doc/source/train/examples/intel_gaudi/bert.ipynb +++ b/doc/source/train/examples/intel_gaudi/bert.ipynb @@ -30,7 +30,7 @@ "docker run -it --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --net=host --ipc=host vault.habana.ai/gaudi-docker/1.20.0/ubuntu22.04/habanalabs/pytorch-installer-2.6.0:latest\n", "```\n", "\n", - "Inside the container, install the following dependecies to run this notebook.\n", + "Inside the container, install the following dependencies to run this notebook.\n", "```bash\n", "pip install ray[train] notebook transformers datasets evaluate\n", "```" diff --git a/doc/source/train/examples/pytorch/convert_existing_pytorch_code_to_ray_train.ipynb b/doc/source/train/examples/pytorch/convert_existing_pytorch_code_to_ray_train.ipynb index 6a5666412cb8..66170aacdd00 100644 --- a/doc/source/train/examples/pytorch/convert_existing_pytorch_code_to_ray_train.ipynb +++ b/doc/source/train/examples/pytorch/convert_existing_pytorch_code_to_ray_train.ipynb @@ -77,7 +77,7 @@ "source": [ "Then we download the data: \n", "\n", - "This tutorial assumes that your existing code is using the `torch.utils.data.Dataset` native to PyTorch. It continues to use `torch.utils.data.Dataset` to allow you to make as few code changes as possible. **This tutorial also runs with Ray Data, which gives you the benefits of efficient parallel preprocessing.** For more details on using Ray Data for for images, see the {doc}`Working with Images ` Ray Data user guide." + "This tutorial assumes that your existing code is using the `torch.utils.data.Dataset` native to PyTorch. It continues to use `torch.utils.data.Dataset` to allow you to make as few code changes as possible. **This tutorial also runs with Ray Data, which gives you the benefits of efficient parallel preprocessing.** For more details on using Ray Data for images, see the {doc}`Working with Images ` Ray Data user guide." ] }, { diff --git a/doc/source/train/examples/pytorch/dreambooth_finetuning.rst b/doc/source/train/examples/pytorch/dreambooth_finetuning.rst index b8da33e517dc..6d88a556f8fa 100644 --- a/doc/source/train/examples/pytorch/dreambooth_finetuning.rst +++ b/doc/source/train/examples/pytorch/dreambooth_finetuning.rst @@ -1,7 +1,7 @@ :orphan: -Fine-tune of Stable Diffusion with DreamBooth and Ray Train -=========================================================== +Fine-tuning of Stable Diffusion with DreamBooth and Ray Train +============================================================= .. raw:: html diff --git a/doc/source/train/examples/pytorch/pytorch_resnet_finetune.ipynb b/doc/source/train/examples/pytorch/pytorch_resnet_finetune.ipynb index 83dec754ac0c..12a7fc47b088 100644 --- a/doc/source/train/examples/pytorch/pytorch_resnet_finetune.ipynb +++ b/doc/source/train/examples/pytorch/pytorch_resnet_finetune.ipynb @@ -11,7 +11,7 @@ "\n", "

    \n", "\n", - "This example fine tunes a pre-trained ResNet model with Ray Train. \n", + "This example fine-tunes a pre-trained ResNet model with Ray Train. \n", "\n", "For this example, the network architecture consists of the intermediate layer output of a pre-trained ResNet model, which feeds into a randomly initialized linear layer that outputs classification logits for our new task.\n", "\n", @@ -211,7 +211,7 @@ "The `train_loop_per_worker` function defines the fine-tuning procedure for each worker.\n", "\n", "**1. Prepare dataloaders for each worker**:\n", - "- This tutorial assumes you are using PyTorch's native `torch.utils.data.Dataset` for data input. {meth}`train.torch.prepare_data_loader() ` prepares your dataLoader for distributed execution. You can also use Ray Data for more efficient preprocessing. For more details on using Ray Data for for images, see the {doc}`Working with Images ` Ray Data user guide.\n", + "- This tutorial assumes you are using PyTorch's native `torch.utils.data.Dataset` for data input. {meth}`train.torch.prepare_data_loader() ` prepares your dataLoader for distributed execution. You can also use Ray Data for more efficient preprocessing. For more details on using Ray Data for images, see the {doc}`Working with Images ` Ray Data user guide.\n", "\n", "**2. Prepare your model**:\n", "- {meth}`train.torch.prepare_model() ` prepares the model for distributed training. Under the hood, it converts your torch model to `DistributedDataParallel` model, which synchronize its weights across all workers.\n", diff --git a/doc/source/train/examples/transformers/huggingface_text_classification.ipynb b/doc/source/train/examples/transformers/huggingface_text_classification.ipynb index c193f2b41686..ace610bbd88b 100644 --- a/doc/source/train/examples/transformers/huggingface_text_classification.ipynb +++ b/doc/source/train/examples/transformers/huggingface_text_classification.ipynb @@ -87,7 +87,7 @@ "id": "oJiSdWy2hYbR" }, "source": [ - "Check the resources our cluster is composed of. If you are running this notebook on your local machine or Google Colab, you should see the number of CPU cores and GPUs available on the your machine." + "Check the resources our cluster is composed of. If you are running this notebook on your local machine or Google Colab, you should see the number of CPU cores and GPUs available on your machine." ] }, { diff --git a/doc/source/train/examples/transformers/transformers_torch_trainer_basic.rst b/doc/source/train/examples/transformers/transformers_torch_trainer_basic.rst index 795ca47d6664..4e0f4a0db892 100644 --- a/doc/source/train/examples/transformers/transformers_torch_trainer_basic.rst +++ b/doc/source/train/examples/transformers/transformers_torch_trainer_basic.rst @@ -1,6 +1,6 @@ :orphan: -.. _transformers_torch_trainer_basic_example : +.. _transformers_torch_trainer_basic_example: Fine-tune a Text Classifier with Hugging Face Transformers ========================================================== From 5678e04f46d5041fc44bcfe311d2807f98d0da16 Mon Sep 17 00:00:00 2001 From: Potato Date: Tue, 9 Sep 2025 12:38:24 +0800 Subject: [PATCH 1107/1566] [TRAIN][DOC] Fix typos, grammar, and formatting issues in Ray Train documentation (#56274) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR addresses multiple documentation quality issues across 29 files in the `doc/source/train/` directory (excluding examples). The changes focus on improving readability and consistency while maintaining the existing content structure. ## Issues Fixed ### Spelling and Grammar - Fixed "stablizes" → "stabilizes" in experiment tracking guide - Fixed "an Pytorch" → "a PyTorch" in benchmarks - Fixed "secure group" → "security group" (AWS terminology) ### Capitalization Consistency - Standardized "Pytorch" → "PyTorch" throughout all files - Standardized "Tensorflow" → "TensorFlow" throughout all files - Fixed "Deepspeed" → "DeepSpeed" (proper product name) - Fixed "HuggingFace" → "Hugging Face" (company name with space) ### reStructuredText Formatting - Fixed escaped backslashes in "``Trainer``\s" → "``Trainer``s" and "``RayActorError``\s" → "``RayActorError``s" - Removed malformed directive ".. _:: ../doc_code:" from fault tolerance guide - Fixed extra backtick in Ray Data documentation reference - Corrected spacing and line breaks in DeepSpeed guide ### Reference Links - Updated benchmark reference links to match corrected framework names - Ensured consistency between text references and actual link targets ## Files Modified - **API docs (2 files)**: Fixed TensorFlow capitalization - **Core docs (1 file)**: Multiple benchmark fixes - **Framework guides (3 files)**: DeepSpeed, TensorFlow, and Horovod formatting - **User guides (4 files)**: Checkpoints, data loading, experiment tracking, fault tolerance - **Deprecated guides (1 file)**: Fault tolerance formatting ## Scope All changes are minimal and surgical, focusing only on clear typos and formatting errors. No content was rewritten or restructured. The fixes improve documentation quality without changing functionality or breaking existing links. Total: 35+ individual corrections across 12 files, with 17 files reviewed and found to have no issues. --------- Signed-off-by: Potato Signed-off-by: Jiajun Yao Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: Jiajun Yao Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/train/api/api.rst | 2 +- doc/source/train/api/deprecated.rst | 2 +- doc/source/train/benchmarks.rst | 52 +++++++++---------- doc/source/train/deepspeed.rst | 4 +- .../train/distributed-tensorflow-keras.rst | 2 +- doc/source/train/user-guides/checkpoints.rst | 2 +- .../data-loading-preprocessing.rst | 2 +- .../train/user-guides/experiment-tracking.rst | 2 +- .../train/user-guides/fault-tolerance.rst | 2 - 9 files changed, 34 insertions(+), 36 deletions(-) diff --git a/doc/source/train/api/api.rst b/doc/source/train/api/api.rst index 344682bd66f5..9c0ed0af5d33 100644 --- a/doc/source/train/api/api.rst +++ b/doc/source/train/api/api.rst @@ -72,7 +72,7 @@ Hugging Face Transformers More Frameworks --------------- -Tensorflow/Keras +TensorFlow/Keras ~~~~~~~~~~~~~~~~ .. autosummary:: diff --git a/doc/source/train/api/deprecated.rst b/doc/source/train/api/deprecated.rst index 4c016577ee92..7a51cb4b48dd 100644 --- a/doc/source/train/api/deprecated.rst +++ b/doc/source/train/api/deprecated.rst @@ -66,7 +66,7 @@ Hugging Face Transformers More Frameworks --------------- -Tensorflow/Keras +TensorFlow/Keras ~~~~~~~~~~~~~~~~ .. autosummary:: diff --git a/doc/source/train/benchmarks.rst b/doc/source/train/benchmarks.rst index 050d56081029..94702b98916f 100644 --- a/doc/source/train/benchmarks.rst +++ b/doc/source/train/benchmarks.rst @@ -11,7 +11,7 @@ GPU image training ------------------ This task uses the TorchTrainer module to train different amounts of data -using an Pytorch ResNet model. +using a PyTorch ResNet model. We test out the performance across different cluster sizes and data sizes. @@ -22,7 +22,7 @@ We test out the performance across different cluster sizes and data sizes. .. note:: For multi-host distributed training, on AWS we need to ensure ec2 instances are in the same VPC and - all ports are open in the secure group. + all ports are open in the security group. .. list-table:: @@ -46,10 +46,10 @@ We test out the performance across different cluster sizes and data sizes. .. _pytorch-training-parity: -Pytorch Training Parity +PyTorch training parity ----------------------- -This task checks the performance parity between native Pytorch Distributed and +This task checks the performance parity between native PyTorch Distributed and Ray Train's distributed TorchTrainer. We demonstrate that the performance is similar (within 2.5\%) between the two frameworks. @@ -58,9 +58,9 @@ Performance may vary greatly across different model, hardware, and cluster confi The reported times are for the raw training times. There is an unreported constant setup overhead of a few seconds for both methods that is negligible for longer training runs. -- `Pytorch comparison training script`_ -- `Pytorch comparison CPU cluster configuration`_ -- `Pytorch comparison GPU cluster configuration`_ +- `PyTorch comparison training script`_ +- `PyTorch comparison CPU cluster configuration`_ +- `PyTorch comparison GPU cluster configuration`_ .. list-table:: @@ -70,24 +70,24 @@ overhead of a few seconds for both methods that is negligible for longer trainin - **Command** * - 4 m5.2xlarge nodes (4 workers) - FashionMNIST - - 196.64 s (vs 194.90 s Pytorch) + - 196.64 s (vs 194.90 s PyTorch) - `python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 8` * - 4 m5.2xlarge nodes (16 workers) - FashionMNIST - - 430.88 s (vs 475.97 s Pytorch) + - 430.88 s (vs 475.97 s PyTorch) - `python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 2` - * - 4 g4dn.12xlarge node (16 workers) + * - 4 g4dn.12xlarge nodes (16 workers) - FashionMNIST - - 149.80 s (vs 146.46 s Pytorch) + - 149.80 s (vs 146.46 s PyTorch) - `python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 4 --use-gpu` .. _tf-training-parity: -Tensorflow Training Parity +TensorFlow training parity -------------------------- -This task checks the performance parity between native Tensorflow Distributed and +This task checks the performance parity between native TensorFlow Distributed and Ray Train's distributed TensorflowTrainer. We demonstrate that the performance is similar (within 1\%) between the two frameworks. @@ -98,9 +98,9 @@ overhead of a few seconds for both methods that is negligible for longer trainin .. note:: The batch size and number of epochs is different for the GPU benchmark, resulting in a longer runtime. -- `Tensorflow comparison training script`_ -- `Tensorflow comparison CPU cluster configuration`_ -- `Tensorflow comparison GPU cluster configuration`_ +- `TensorFlow comparison training script`_ +- `TensorFlow comparison CPU cluster configuration`_ +- `TensorFlow comparison GPU cluster configuration`_ .. list-table:: @@ -110,15 +110,15 @@ overhead of a few seconds for both methods that is negligible for longer trainin - **Command** * - 4 m5.2xlarge nodes (4 workers) - FashionMNIST - - 78.81 s (vs 79.67 s Tensorflow) + - 78.81 s (versus 79.67 s TensorFlow) - `python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 8` * - 4 m5.2xlarge nodes (16 workers) - FashionMNIST - - 64.57 s (vs 67.45 s Tensorflow) + - 64.57 s (versus 67.45 s TensorFlow) - `python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 2` - * - 4 g4dn.12xlarge node (16 workers) + * - 4 g4dn.12xlarge nodes (16 workers) - FashionMNIST - - 465.16 s (vs 461.74 s Tensorflow) + - 465.16 s (versus 461.74 s TensorFlow) - `python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 200 --num-workers 16 --cpus-per-worker 4 --batch-size 64 --use-gpu` .. _xgboost-benchmark: @@ -157,11 +157,11 @@ XGBoost parameters were kept as defaults for ``xgboost==1.7.6`` this task. .. _`GPU image training script`: https://github.com/ray-project/ray/blob/cec82a1ced631525a4d115e4dc0c283fa4275a7f/release/air_tests/air_benchmarks/workloads/pytorch_training_e2e.py#L95-L106 .. _`GPU training small cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_1_aws.yaml#L6-L24 .. _`GPU training large cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml#L5-L25 -.. _`Pytorch comparison training script`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/workloads/torch_benchmark.py -.. _`Pytorch comparison CPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_cpu_4_aws.yaml -.. _`Pytorch comparison GPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml -.. _`Tensorflow comparison training script`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py -.. _`Tensorflow comparison CPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_cpu_4_aws.yaml -.. _`Tensorflow comparison GPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml +.. _`PyTorch comparison training script`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/workloads/torch_benchmark.py +.. _`PyTorch comparison CPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_cpu_4_aws.yaml +.. _`PyTorch comparison GPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml +.. _`TensorFlow comparison training script`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/workloads/tensorflow_benchmark.py +.. _`TensorFlow comparison CPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_cpu_4_aws.yaml +.. _`TensorFlow comparison GPU cluster configuration`: https://github.com/ray-project/ray/blob/master/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml .. _`XGBoost Training Script`: https://github.com/ray-project/ray/blob/9ac58f4efc83253fe63e280106f959fe317b1104/release/train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py .. _`XGBoost Cluster Configuration`: https://github.com/ray-project/ray/tree/9ac58f4efc83253fe63e280106f959fe317b1104/release/train_tests/xgboost_lightgbm diff --git a/doc/source/train/deepspeed.rst b/doc/source/train/deepspeed.rst index 570892e5a594..44fdda3d1d13 100644 --- a/doc/source/train/deepspeed.rst +++ b/doc/source/train/deepspeed.rst @@ -71,7 +71,7 @@ Complete Examples ----------------- Below are complete examples of ZeRO-3 training with DeepSpeed. Each example shows a full implementation of fine-tuning - a Bidirectional Encoder Representations from Transformers (BERT) model on the Microsoft Research Paraphrase Corpus (MRPC) dataset. +a Bidirectional Encoder Representations from Transformers (BERT) model on the Microsoft Research Paraphrase Corpus (MRPC) dataset. Install the requirements: @@ -119,7 +119,7 @@ Check the below examples for more details: * - Framework - Example * - Accelerate (:ref:`User Guide `) - - `Fine-tune Llama-2 series models with Deepspeed, Accelerate, and Ray Train. `_ + - `Fine-tune Llama-2 series models with DeepSpeed, Accelerate, and Ray Train. `_ * - Transformers (:ref:`User Guide `) - :doc:`Fine-tune GPT-J-6b with DeepSpeed and Hugging Face Transformers ` * - Lightning (:ref:`User Guide `) diff --git a/doc/source/train/distributed-tensorflow-keras.rst b/doc/source/train/distributed-tensorflow-keras.rst index 5ab690bdbec7..34db90b6b37b 100644 --- a/doc/source/train/distributed-tensorflow-keras.rst +++ b/doc/source/train/distributed-tensorflow-keras.rst @@ -78,7 +78,7 @@ Create a TensorflowTrainer -------------------------- ``Trainer``\s are the primary Ray Train classes for managing state and -execute training. For distributed Tensorflow, +execute training. For distributed TensorFlow, use a :class:`~ray.train.tensorflow.TensorflowTrainer` that you can setup like this: diff --git a/doc/source/train/user-guides/checkpoints.rst b/doc/source/train/user-guides/checkpoints.rst index 595a3d7b2b7c..cd837cdccf13 100644 --- a/doc/source/train/user-guides/checkpoints.rst +++ b/doc/source/train/user-guides/checkpoints.rst @@ -120,7 +120,7 @@ Here are a few examples of saving checkpoints with different training frameworks .. tab-item:: Hugging Face Transformers - Ray Train leverages HuggingFace Transformers Trainer's ``Callback`` interface + Ray Train leverages Hugging Face Transformers Trainer's ``Callback`` interface to report metrics and checkpoints. **Option 1: Use Ray Train's default report callback** diff --git a/doc/source/train/user-guides/data-loading-preprocessing.rst b/doc/source/train/user-guides/data-loading-preprocessing.rst index 9e95dd1445e9..3835a697fb25 100644 --- a/doc/source/train/user-guides/data-loading-preprocessing.rst +++ b/doc/source/train/user-guides/data-loading-preprocessing.rst @@ -11,7 +11,7 @@ Key advantages include: - Automatic and fast failure recovery. - Automatic on-the-fly data splitting across distributed training workers. -For more details about Ray Data, check out the :ref:`Ray Data documentation`.` +For more details about Ray Data, check out the :ref:`Ray Data documentation`. .. note:: diff --git a/doc/source/train/user-guides/experiment-tracking.rst b/doc/source/train/user-guides/experiment-tracking.rst index e80d67bb79c5..424aff50f798 100644 --- a/doc/source/train/user-guides/experiment-tracking.rst +++ b/doc/source/train/user-guides/experiment-tracking.rst @@ -242,7 +242,7 @@ Refer to the tracking libraries' documentation for semantics. def train_func(): if ray.train.get_context().get_world_rank() == 0: - wandb.init(..., config={"ray_train_persistent_storage_path": "TODO: fill in when API stablizes"}) + wandb.init(..., config={"ray_train_persistent_storage_path": "TODO: fill in when API stabilizes"}) .. tip:: diff --git a/doc/source/train/user-guides/fault-tolerance.rst b/doc/source/train/user-guides/fault-tolerance.rst index 81533ef29e94..ab25902ce54e 100644 --- a/doc/source/train/user-guides/fault-tolerance.rst +++ b/doc/source/train/user-guides/fault-tolerance.rst @@ -1,5 +1,3 @@ -.. _:: ../doc_code: - .. _train-fault-tolerance: Handling Failures and Node Preemption From beae59b05a5e56a4867a48259e06f90f1292afd7 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 9 Sep 2025 00:27:25 -0500 Subject: [PATCH 1108/1566] [core] Clean up `actor_creator` targets (#56336) Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/mock/ray/core_worker/actor_creator.h | 55 ------------ src/ray/core_worker/BUILD.bazel | 12 ++- src/ray/core_worker/actor_creator.cc | 86 +++++++++++++++++++ src/ray/core_worker/actor_creator.h | 64 +++----------- src/ray/core_worker/core_worker_process.cc | 2 +- src/ray/core_worker/fake_actor_creator.h | 63 ++++++++++++++ .../task_submission/tests/BUILD.bazel | 3 + .../tests/actor_task_submitter_test.cc | 4 +- .../tests/dependency_resolver_test.cc | 60 +++---------- .../tests/direct_actor_transport_test.cc | 4 +- .../tests/normal_task_submitter_test.cc | 46 +--------- .../core_worker/tests/actor_creator_test.cc | 14 +-- src/ray/core_worker/tests/core_worker_test.cc | 2 +- 13 files changed, 204 insertions(+), 211 deletions(-) delete mode 100644 src/mock/ray/core_worker/actor_creator.h create mode 100644 src/ray/core_worker/actor_creator.cc create mode 100644 src/ray/core_worker/fake_actor_creator.h diff --git a/src/mock/ray/core_worker/actor_creator.h b/src/mock/ray/core_worker/actor_creator.h deleted file mode 100644 index 95deb2808a5a..000000000000 --- a/src/mock/ray/core_worker/actor_creator.h +++ /dev/null @@ -1,55 +0,0 @@ -// Copyright 2021 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. -#pragma once - -#include "gmock/gmock.h" -namespace ray { -namespace core { - -class MockActorCreatorInterface : public ActorCreatorInterface { - public: - MOCK_METHOD(Status, - RegisterActor, - (const TaskSpecification &task_spec), - (const, override)); - MOCK_METHOD(void, - AsyncRegisterActor, - (const TaskSpecification &task_spec, gcs::StatusCallback callback), - (override)); - MOCK_METHOD(void, - AsyncCreateActor, - (const TaskSpecification &task_spec, - const rpc::ClientCallback &callback), - (override)); - MOCK_METHOD(void, - AsyncRestartActorForLineageReconstruction, - (const ActorID &actor_id, - uint64_t num_restarts, - gcs::StatusCallback callback), - (override)); - MOCK_METHOD(void, - AsyncReportActorOutOfScope, - (const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback), - (override)); - MOCK_METHOD(void, - AsyncWaitForActorRegisterFinish, - (const ActorID &actor_id, gcs::StatusCallback callback), - (override)); - MOCK_METHOD(bool, IsActorInRegistering, (const ActorID &actor_id), (const, override)); -}; - -} // namespace core -} // namespace ray diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 6cb8cff9b7f4..608f66964e61 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -158,13 +158,23 @@ ray_cc_library( ray_cc_library( name = "actor_creator", + srcs = ["actor_creator.cc"], hdrs = ["actor_creator.h"], + visibility = [":__subpackages__"], deps = [ - "//src/ray/common:ray_config", "//src/ray/gcs/gcs_client:gcs_client_lib", ], ) +ray_cc_library( + name = "fake_actor_creator", + hdrs = ["fake_actor_creator.h"], + visibility = [":__subpackages__"], + deps = [ + ":actor_creator", + ], +) + ray_cc_library( name = "actor_manager", srcs = ["actor_manager.cc"], diff --git a/src/ray/core_worker/actor_creator.cc b/src/ray/core_worker/actor_creator.cc new file mode 100644 index 000000000000..b5d9e10c99a3 --- /dev/null +++ b/src/ray/core_worker/actor_creator.cc @@ -0,0 +1,86 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/core_worker/actor_creator.h" + +#include +#include +#include + +namespace ray { +namespace core { + +Status ActorCreator::RegisterActor(const TaskSpecification &task_spec) const { + const auto status = actor_client_.SyncRegisterActor(task_spec); + if (status.IsTimedOut()) { + std::ostringstream stream; + stream << "There was timeout in registering an actor. It is probably " + "because GCS server is dead or there's a high load there."; + return Status::TimedOut(stream.str()); + } + return status; +} + +void ActorCreator::AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) { + auto actor_id = task_spec.ActorCreationId(); + (*registering_actors_)[actor_id] = {}; + if (callback != nullptr) { + (*registering_actors_)[actor_id].emplace_back(std::move(callback)); + } + actor_client_.AsyncRegisterActor(task_spec, [actor_id, this](Status status) { + std::vector cbs; + cbs = std::move((*registering_actors_)[actor_id]); + registering_actors_->erase(actor_id); + for (auto &cb : cbs) { + cb(status); + } + }); +} + +void ActorCreator::AsyncRestartActorForLineageReconstruction( + const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstructions, + gcs::StatusCallback callback) { + actor_client_.AsyncRestartActorForLineageReconstruction( + actor_id, num_restarts_due_to_lineage_reconstructions, callback); +} + +void ActorCreator::AsyncReportActorOutOfScope( + const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstruction, + gcs::StatusCallback callback) { + actor_client_.AsyncReportActorOutOfScope( + actor_id, num_restarts_due_to_lineage_reconstruction, callback); +} + +bool ActorCreator::IsActorInRegistering(const ActorID &actor_id) const { + return registering_actors_->find(actor_id) != registering_actors_->end(); +} + +void ActorCreator::AsyncWaitForActorRegisterFinish(const ActorID &actor_id, + gcs::StatusCallback callback) { + auto iter = registering_actors_->find(actor_id); + RAY_CHECK(iter != registering_actors_->end()); + iter->second.emplace_back(std::move(callback)); +} + +void ActorCreator::AsyncCreateActor( + const TaskSpecification &task_spec, + const rpc::ClientCallback &callback) { + actor_client_.AsyncCreateActor(task_spec, callback); +} + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index fb92ce99ac94..8673dc57154e 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -18,8 +18,7 @@ #include #include -#include "ray/common/ray_config.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs/gcs_client/accessor.h" namespace ray { namespace core { @@ -72,73 +71,36 @@ class ActorCreatorInterface { virtual bool IsActorInRegistering(const ActorID &actor_id) const = 0; }; -class DefaultActorCreator : public ActorCreatorInterface { +class ActorCreator : public ActorCreatorInterface { public: - explicit DefaultActorCreator(std::shared_ptr gcs_client) - : gcs_client_(std::move(gcs_client)) {} - - Status RegisterActor(const TaskSpecification &task_spec) const override { - const auto status = gcs_client_->Actors().SyncRegisterActor(task_spec); - if (status.IsTimedOut()) { - std::ostringstream stream; - stream << "There was timeout in registering an actor. It is probably " - "because GCS server is dead or there's a high load there."; - return Status::TimedOut(stream.str()); - } - return status; - } + explicit ActorCreator(gcs::ActorInfoAccessor &actor_client) + : actor_client_(actor_client) {} + + Status RegisterActor(const TaskSpecification &task_spec) const override; void AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override { - auto actor_id = task_spec.ActorCreationId(); - (*registering_actors_)[actor_id] = {}; - if (callback != nullptr) { - (*registering_actors_)[actor_id].emplace_back(std::move(callback)); - } - gcs_client_->Actors().AsyncRegisterActor(task_spec, [actor_id, this](Status status) { - std::vector cbs; - cbs = std::move((*registering_actors_)[actor_id]); - registering_actors_->erase(actor_id); - for (auto &cb : cbs) { - cb(status); - } - }); - } + gcs::StatusCallback callback) override; void AsyncRestartActorForLineageReconstruction( const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstructions, - gcs::StatusCallback callback) override { - gcs_client_->Actors().AsyncRestartActorForLineageReconstruction( - actor_id, num_restarts_due_to_lineage_reconstructions, callback); - } + gcs::StatusCallback callback) override; void AsyncReportActorOutOfScope(const ActorID &actor_id, uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override { - gcs_client_->Actors().AsyncReportActorOutOfScope( - actor_id, num_restarts_due_to_lineage_reconstruction, callback); - } + gcs::StatusCallback callback) override; - bool IsActorInRegistering(const ActorID &actor_id) const override { - return registering_actors_->find(actor_id) != registering_actors_->end(); - } + bool IsActorInRegistering(const ActorID &actor_id) const override; void AsyncWaitForActorRegisterFinish(const ActorID &actor_id, - gcs::StatusCallback callback) override { - auto iter = registering_actors_->find(actor_id); - RAY_CHECK(iter != registering_actors_->end()); - iter->second.emplace_back(std::move(callback)); - } + gcs::StatusCallback callback) override; void AsyncCreateActor( const TaskSpecification &task_spec, - const rpc::ClientCallback &callback) override { - gcs_client_->Actors().AsyncCreateActor(task_spec, callback); - } + const rpc::ClientCallback &callback) override; private: - std::shared_ptr gcs_client_; + gcs::ActorInfoAccessor &actor_client_; using RegisteringActorType = absl::flat_hash_map>; ThreadPrivate registering_actors_; diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 54db5f6fece9..3750dc5954c5 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -475,7 +475,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( timestamp)); }; - auto actor_creator = std::make_shared(gcs_client); + auto actor_creator = std::make_shared(gcs_client->Actors()); auto actor_task_submitter = std::make_unique( *core_worker_client_pool, diff --git a/src/ray/core_worker/fake_actor_creator.h b/src/ray/core_worker/fake_actor_creator.h new file mode 100644 index 000000000000..08deb9bf6cda --- /dev/null +++ b/src/ray/core_worker/fake_actor_creator.h @@ -0,0 +1,63 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include +#include + +#include "ray/core_worker/actor_creator.h" + +namespace ray { +namespace core { + +class FakeActorCreator : public ActorCreatorInterface { + public: + Status RegisterActor(const TaskSpecification &task_spec) const override { + return Status::OK(); + }; + + void AsyncRegisterActor(const TaskSpecification &task_spec, + gcs::StatusCallback callback) override {} + + void AsyncRestartActorForLineageReconstruction( + const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstructions, + gcs::StatusCallback callback) override {} + + void AsyncReportActorOutOfScope(const ActorID &actor_id, + uint64_t num_restarts_due_to_lineage_reconstruction, + gcs::StatusCallback callback) override {} + + void AsyncCreateActor( + const TaskSpecification &task_spec, + const rpc::ClientCallback &callback) override {} + + void AsyncWaitForActorRegisterFinish(const ActorID &, + gcs::StatusCallback callback) override { + callbacks.push_back(callback); + } + + [[nodiscard]] bool IsActorInRegistering(const ActorID &actor_id) const override { + return actor_pending; + } + + std::list callbacks; + bool actor_pending = false; +}; + +} // namespace core +} // namespace ray diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 4a8ff0ec0d95..b2cf928329af 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -9,6 +9,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:task_common", "//src/ray/common:test_utils", + "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker/task_submission:dependency_resolver", "@com_google_googletest//:gtest", ], @@ -49,6 +50,7 @@ ray_cc_test( "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_creator", + "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", "//src/ray/rpc:core_worker_client", @@ -68,6 +70,7 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:task_common", "//src/ray/common:test_utils", + "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/rpc:core_worker_client", diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 96044df6722e..3708ad2274bb 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -19,10 +19,10 @@ #include #include "gtest/gtest.h" -#include "mock/ray/core_worker/actor_creator.h" #include "mock/ray/core_worker/reference_count.h" #include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/test_utils.h" +#include "ray/core_worker/fake_actor_creator.h" #include "ray/rpc/worker/core_worker_client.h" namespace ray::core { @@ -111,7 +111,7 @@ class ActorTaskSubmitterTest : public ::testing::TestWithParam { int num_clients_connected_ = 0; int64_t last_queue_warning_ = 0; - MockActorCreatorInterface actor_creator_; + FakeActorCreator actor_creator_; std::shared_ptr client_pool_; std::shared_ptr worker_client_; std::shared_ptr store_; diff --git a/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc b/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc index 21aad49fa165..e9766aec1281 100644 --- a/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc +++ b/src/ray/core_worker/task_submission/tests/dependency_resolver_test.cc @@ -27,6 +27,7 @@ #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" +#include "ray/core_worker/fake_actor_creator.h" namespace ray { namespace core { @@ -134,49 +135,10 @@ class MockTaskManager : public MockTaskManagerInterface { int num_fail_pending_task_calls = 0; }; -class MockActorCreator : public ActorCreatorInterface { - public: - MockActorCreator() = default; - - Status RegisterActor(const TaskSpecification &task_spec) const override { - return Status::OK(); - }; - - void AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override {} - - void AsyncCreateActor( - const TaskSpecification &task_spec, - const rpc::ClientCallback &callback) override {} - - void AsyncRestartActorForLineageReconstruction( - const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstructions, - gcs::StatusCallback callback) override {} - - void AsyncReportActorOutOfScope(const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override {} - - void AsyncWaitForActorRegisterFinish(const ActorID &, - gcs::StatusCallback callback) override { - callbacks.push_back(callback); - } - - [[nodiscard]] bool IsActorInRegistering(const ActorID &actor_id) const override { - return actor_pending; - } - - ~MockActorCreator() {} - - std::list callbacks; - bool actor_pending = false; -}; - TEST(LocalDependencyResolverTest, TestNoDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -192,7 +154,7 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies1) { // Actor dependency resolved first. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -237,7 +199,7 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies2) { // Object dependency resolved first. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -281,7 +243,7 @@ TEST(LocalDependencyResolverTest, TestActorAndObjectDependencies2) { TEST(LocalDependencyResolverTest, TestHandlePlasmaPromotion) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -311,7 +273,7 @@ TEST(LocalDependencyResolverTest, TestHandlePlasmaPromotion) { TEST(LocalDependencyResolverTest, TestInlineLocalDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -345,7 +307,7 @@ TEST(LocalDependencyResolverTest, TestInlineLocalDependencies) { TEST(LocalDependencyResolverTest, TestInlinePendingDependencies) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -383,7 +345,7 @@ TEST(LocalDependencyResolverTest, TestInlinePendingDependencies) { TEST(LocalDependencyResolverTest, TestInlinedObjectIds) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -423,7 +385,7 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { InstrumentedIOContextWithThread io_context("TestCancelDependencyResolution"); auto store = std::make_shared(io_context.GetIoService()); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -458,7 +420,7 @@ TEST(LocalDependencyResolverTest, TestCancelDependencyResolution) { TEST(LocalDependencyResolverTest, TestDependenciesAlreadyLocal) { auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; LocalDependencyResolver resolver( *store, *task_manager, actor_creator, [](const ObjectID &object_id) { return rpc::TensorTransport::OBJECT_STORE; @@ -494,7 +456,7 @@ TEST(LocalDependencyResolverTest, TestMixedTensorTransport) { // there will be performance regression in some edge cases. auto store = DefaultCoreWorkerMemoryStoreWithThread::Create(); auto task_manager = std::make_shared(); - MockActorCreator actor_creator; + FakeActorCreator actor_creator; // `obj1` is a GPU object, and `obj2` is a normal object. ObjectID obj1 = ObjectID::FromRandom(); diff --git a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc index eb52aa92bef5..a2e58b392145 100644 --- a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc +++ b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc @@ -33,7 +33,7 @@ class DirectTaskTransportTest : public ::testing::Test { void SetUp() override { gcs_client = std::make_shared(); - actor_creator = std::make_unique(gcs_client); + actor_creator = std::make_unique(gcs_client->Actors()); task_manager = std::make_shared(); client_pool = std::make_shared( @@ -83,7 +83,7 @@ class DirectTaskTransportTest : public ::testing::Test { std::shared_ptr client_pool; std::unique_ptr memory_store; std::shared_ptr task_manager; - std::unique_ptr actor_creator; + std::unique_ptr actor_creator; std::shared_ptr gcs_client; std::shared_ptr reference_counter; }; diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index ec3ae6d7b93f..e3eeab9a0a3b 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -29,6 +29,7 @@ #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" +#include "ray/core_worker/fake_actor_creator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/worker/core_worker_client.h" @@ -404,45 +405,6 @@ class MockRayletClient : public FakeRayletClient { get_task_failure_cause_callbacks = {}; }; -class MockActorCreator : public ActorCreatorInterface { - public: - MockActorCreator() {} - - Status RegisterActor(const TaskSpecification &task_spec) const override { - return Status::OK(); - }; - - void AsyncRegisterActor(const TaskSpecification &task_spec, - gcs::StatusCallback callback) override {} - - void AsyncRestartActorForLineageReconstruction( - const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstructions, - gcs::StatusCallback callback) override {} - - void AsyncReportActorOutOfScope(const ActorID &actor_id, - uint64_t num_restarts_due_to_lineage_reconstruction, - gcs::StatusCallback callback) override {} - - void AsyncCreateActor( - const TaskSpecification &task_spec, - const rpc::ClientCallback &callback) override {} - - void AsyncWaitForActorRegisterFinish(const ActorID &, - gcs::StatusCallback callback) override { - callbacks.push_back(callback); - } - - [[nodiscard]] bool IsActorInRegistering(const ActorID &actor_id) const override { - return actor_pending; - } - - ~MockActorCreator() {} - - std::list callbacks; - bool actor_pending = false; -}; - class MockLeasePolicy : public LeasePolicyInterface { public: void SetNodeID(NodeID node_id) { fallback_rpc_address_.set_node_id(node_id.Binary()); } @@ -484,7 +446,7 @@ class NormalTaskSubmitterTest : public testing::Test { client_pool(std::make_shared( [&](const rpc::Address &) { return worker_client; })), task_manager(std::make_unique()), - actor_creator(std::make_shared()), + actor_creator(std::make_shared()), lease_policy(std::make_unique()), lease_policy_ptr(lease_policy.get()) { address.set_node_id(local_node_id.Binary()); @@ -542,7 +504,7 @@ class NormalTaskSubmitterTest : public testing::Test { std::shared_ptr store; std::shared_ptr client_pool; std::unique_ptr task_manager; - std::shared_ptr actor_creator; + std::shared_ptr actor_creator; // Note: Use lease_policy_ptr in tests, not lease_policy since it has to be moved into // the submitter. std::unique_ptr lease_policy; @@ -1475,7 +1437,7 @@ void TestSchedulingKey(const std::shared_ptr store, auto client_pool = std::make_shared( [&](const rpc::Address &addr) { return worker_client; }); auto task_manager = std::make_unique(); - auto actor_creator = std::make_shared(); + auto actor_creator = std::make_shared(); auto lease_policy = std::make_unique(); lease_policy->SetNodeID(local_node_id); instrumented_io_context io_context; diff --git a/src/ray/core_worker/tests/actor_creator_test.cc b/src/ray/core_worker/tests/actor_creator_test.cc index 7d749d011c47..fc9996cd07cf 100644 --- a/src/ray/core_worker/tests/actor_creator_test.cc +++ b/src/ray/core_worker/tests/actor_creator_test.cc @@ -32,7 +32,7 @@ class ActorCreatorTest : public ::testing::Test { ActorCreatorTest() {} void SetUp() override { gcs_client = std::make_shared(); - actor_creator = std::make_unique(gcs_client); + actor_creator = std::make_unique(gcs_client->Actors()); } TaskSpecification GetTaskSpec(const ActorID &actor_id) { rpc::TaskSpec task_spec; @@ -43,7 +43,7 @@ class ActorCreatorTest : public ::testing::Test { return TaskSpecification(task_spec); } std::shared_ptr gcs_client; - std::unique_ptr actor_creator; + std::unique_ptr actor_creator; }; TEST_F(ActorCreatorTest, IsRegister) { @@ -67,19 +67,19 @@ TEST_F(ActorCreatorTest, AsyncWaitForFinish) { EXPECT_CALL(*gcs_client->mock_actor_accessor, AsyncRegisterActor(::testing::_, ::testing::_, ::testing::_)) .WillRepeatedly(::testing::DoAll(::testing::SaveArg<1>(&cb))); - int cnt = 0; - auto per_finish_cb = [&cnt](Status status) { + int count = 0; + auto per_finish_cb = [&count](Status status) { ASSERT_TRUE(status.ok()); - cnt++; + count++; }; actor_creator->AsyncRegisterActor(task_spec, per_finish_cb); ASSERT_TRUE(actor_creator->IsActorInRegistering(actor_id)); - for (int i = 0; i < 100; ++i) { + for (int i = 0; i < 10; ++i) { actor_creator->AsyncWaitForActorRegisterFinish(actor_id, per_finish_cb); } cb(Status::OK()); ASSERT_FALSE(actor_creator->IsActorInRegistering(actor_id)); - ASSERT_EQ(101, cnt); + ASSERT_EQ(11, count); } } // namespace core diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 76535e79b74b..6770eaaac5a4 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -180,7 +180,7 @@ class CoreWorkerTest : public ::testing::Test { auto lease_request_rate_limiter = std::make_shared(10); - auto actor_creator = std::make_shared(mock_gcs_client); + auto actor_creator = std::make_shared(mock_gcs_client->Actors()); auto normal_task_submitter = std::make_unique( rpc_address_, From 2f3fa15a4ece861cdac4edaa910f656e0fb02c3b Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Mon, 8 Sep 2025 22:38:55 -0700 Subject: [PATCH 1109/1566] [Data] Remove filesystem parameterizations of `test_csv` tests (#56345) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Many `test_csv` tests include variants for different PyArrow filesystems, but this is unnecessary. Assuming the PyArrow filesystem abstraction works correctly, the underlying filesystem shouldn’t affect behavior. Also, `FileBasedDatasource` subclasses don’t interact with the filesystem directly—they just receive a stream and define how to deserialize it. So, it’s cleaner and simpler to test filesystem variants at the `FileBasedDatasource` base class level rather than in every subclass, reducing test duplication and complexity. ## Related issue number See also https://github.com/ray-project/ray/pull/56341 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_csv.py | 219 +++++------------- .../data/tests/test_file_based_datasource.py | 49 ++++ 2 files changed, 101 insertions(+), 167 deletions(-) diff --git a/python/ray/data/tests/test_csv.py b/python/ray/data/tests/test_csv.py index 9ba6e63bb60b..6beca52fe113 100644 --- a/python/ray/data/tests/test_csv.py +++ b/python/ray/data/tests/test_csv.py @@ -6,7 +6,6 @@ import pyarrow.parquet as pq import pytest from packaging.version import Version -from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.data import Schema @@ -29,40 +28,14 @@ def df_to_csv(dataframe, path, **kwargs): dataframe.to_csv(path, **kwargs) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ( - lazy_fixture("s3_fs_with_space"), - lazy_fixture("s3_path_with_space"), - lazy_fixture("s3_server"), - ), - ( - lazy_fixture("s3_fs_with_special_chars"), - lazy_fixture("s3_path_with_special_chars"), - lazy_fixture("s3_server"), - ), - ], -) def test_csv_read( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - target_max_block_size_infinite_or_default, + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) # Single file. df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.csv") - df1.to_csv(path1, index=False, storage_options=storage_options) - ds = ray.data.read_csv(path1, filesystem=fs, partitioning=None) + path1 = os.path.join(tmp_path, "test1.csv") + df1.to_csv(path1, index=False) + ds = ray.data.read_csv(path1, partitioning=None) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df1.equals(dsdf) # Test metadata ops. @@ -72,11 +45,9 @@ def test_csv_read( # Two files, override_num_blocks=2. df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - path2 = os.path.join(data_path, "test2.csv") - df2.to_csv(path2, index=False, storage_options=storage_options) - ds = ray.data.read_csv( - [path1, path2], override_num_blocks=2, filesystem=fs, partitioning=None - ) + path2 = os.path.join(tmp_path, "test2.csv") + df2.to_csv(path2, index=False) + ds = ray.data.read_csv([path1, path2], override_num_blocks=2, partitioning=None) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) df = pd.concat([df1, df2], ignore_index=True) assert df.equals(dsdf) @@ -86,12 +57,11 @@ def test_csv_read( # Three files, override_num_blocks=2. df3 = pd.DataFrame({"one": [7, 8, 9], "two": ["h", "i", "j"]}) - path3 = os.path.join(data_path, "test3.csv") - df3.to_csv(path3, index=False, storage_options=storage_options) + path3 = os.path.join(tmp_path, "test3.csv") + df3.to_csv(path3, index=False) ds = ray.data.read_csv( [path1, path2, path3], override_num_blocks=2, - filesystem=fs, partitioning=None, ) df = pd.concat([df1, df2, df3], ignore_index=True) @@ -99,136 +69,89 @@ def test_csv_read( assert df.equals(dsdf) # Directory, two files. - path = os.path.join(data_path, "test_csv_dir") - if fs is None: - os.mkdir(path) - else: - fs.create_dir(_unwrap_protocol(path)) + path = os.path.join(tmp_path, "test_csv_dir") + os.mkdir(path) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(path, "data0.csv") - df1.to_csv(path1, index=False, storage_options=storage_options) + df1.to_csv(path1, index=False) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) path2 = os.path.join(path, "data1.csv") - df2.to_csv(path2, index=False, storage_options=storage_options) - ds = ray.data.read_csv(path, filesystem=fs, partitioning=None) + df2.to_csv(path2, index=False) + ds = ray.data.read_csv(path, partitioning=None) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) pd.testing.assert_frame_equal(df, dsdf) - if fs is None: - shutil.rmtree(path) - else: - fs.delete_dir(_unwrap_protocol(path)) + shutil.rmtree(path) # Two directories, three files. - path1 = os.path.join(data_path, "test_csv_dir1") - path2 = os.path.join(data_path, "test_csv_dir2") - if fs is None: - os.mkdir(path1) - os.mkdir(path2) - else: - fs.create_dir(_unwrap_protocol(path1)) - fs.create_dir(_unwrap_protocol(path2)) + path1 = os.path.join(tmp_path, "test_csv_dir1") + path2 = os.path.join(tmp_path, "test_csv_dir2") + os.mkdir(path1) + os.mkdir(path2) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) file_path1 = os.path.join(path1, "data0.csv") - df1.to_csv(file_path1, index=False, storage_options=storage_options) + df1.to_csv(file_path1, index=False) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) file_path2 = os.path.join(path2, "data1.csv") - df2.to_csv(file_path2, index=False, storage_options=storage_options) + df2.to_csv(file_path2, index=False) df3 = pd.DataFrame({"one": [7, 8, 9], "two": ["h", "i", "j"]}) file_path3 = os.path.join(path2, "data2.csv") - df3.to_csv(file_path3, index=False, storage_options=storage_options) - ds = ray.data.read_csv([path1, path2], filesystem=fs, partitioning=None) + df3.to_csv(file_path3, index=False) + ds = ray.data.read_csv([path1, path2], partitioning=None) df = pd.concat([df1, df2, df3], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(path1) - shutil.rmtree(path2) - else: - fs.delete_dir(_unwrap_protocol(path1)) - fs.delete_dir(_unwrap_protocol(path2)) + shutil.rmtree(path1) + shutil.rmtree(path2) # Directory and file, two files. - dir_path = os.path.join(data_path, "test_csv_dir") - if fs is None: - os.mkdir(dir_path) - else: - fs.create_dir(_unwrap_protocol(dir_path)) + dir_path = os.path.join(tmp_path, "test_csv_dir") + os.mkdir(dir_path) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(dir_path, "data0.csv") - df1.to_csv(path1, index=False, storage_options=storage_options) + df1.to_csv(path1, index=False) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - path2 = os.path.join(data_path, "data1.csv") - df2.to_csv(path2, index=False, storage_options=storage_options) - ds = ray.data.read_csv([dir_path, path2], filesystem=fs, partitioning=None) + path2 = os.path.join(tmp_path, "data1.csv") + df2.to_csv(path2, index=False) + ds = ray.data.read_csv([dir_path, path2], partitioning=None) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(dir_path) - else: - fs.delete_dir(_unwrap_protocol(dir_path)) + shutil.rmtree(dir_path) # Directory, two files and non-csv file (test extension-based path filtering). - path = os.path.join(data_path, "test_csv_dir") - if fs is None: - os.mkdir(path) - else: - fs.create_dir(_unwrap_protocol(path)) + path = os.path.join(tmp_path, "test_csv_dir") + os.mkdir(path) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(path, "data0.csv") - df1.to_csv(path1, index=False, storage_options=storage_options) + df1.to_csv(path1, index=False) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) path2 = os.path.join(path, "data1.csv") - df2.to_csv(path2, index=False, storage_options=storage_options) + df2.to_csv(path2, index=False) # Add a file with a non-matching file extension. This file should be ignored. df_txt = pd.DataFrame({"foobar": [1, 2, 3]}) df_txt.to_json( os.path.join(path, "foo.txt"), - storage_options=storage_options, ) ds = ray.data.read_csv( path, - filesystem=fs, file_extensions=["csv"], partitioning=None, ) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(path) - else: - fs.delete_dir(_unwrap_protocol(path)) - - -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -def test_csv_read_meta_provider( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, -): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) + shutil.rmtree(path) + +def test_csv_read_meta_provider(ray_start_regular_shared, tmp_path): df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.csv") - df1.to_csv(path1, index=False, storage_options=storage_options) + path1 = os.path.join(tmp_path, "test1.csv") + df1.to_csv(path1, index=False) ds = ray.data.read_csv( path1, - filesystem=fs, meta_provider=FastFileMetadataProvider(), ) @@ -243,73 +166,35 @@ def test_csv_read_meta_provider( with pytest.raises(NotImplementedError): ray.data.read_csv( path1, - filesystem=fs, meta_provider=BaseFileMetadataProvider(), ) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) -def test_csv_read_many_files_basic( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, -): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - +def test_csv_read_many_files_basic(ray_start_regular_shared, tmp_path): paths = [] dfs = [] num_dfs = 4 * FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD for i in range(num_dfs): df = pd.DataFrame({"one": list(range(i * 3, (i + 1) * 3))}) dfs.append(df) - path = os.path.join(data_path, f"test_{i}.csv") + path = os.path.join(tmp_path, f"test_{i}.csv") paths.append(path) - df.to_csv(path, index=False, storage_options=storage_options) - ds = ray.data.read_csv(paths, filesystem=fs) + df.to_csv(path, index=False) + ds = ray.data.read_csv(paths) dsdf = ds.to_pandas() df = pd.concat(dfs).reset_index(drop=True) pd.testing.assert_frame_equal(df, dsdf) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_csv_read_many_files_diff_dirs( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, ): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - - dir1 = os.path.join(data_path, "dir1") - dir2 = os.path.join(data_path, "dir2") - if fs is None: - os.mkdir(dir1) - os.mkdir(dir2) - else: - fs.create_dir(_unwrap_protocol(dir1)) - fs.create_dir(_unwrap_protocol(dir2)) + dir1 = os.path.join(tmp_path, "dir1") + dir2 = os.path.join(tmp_path, "dir2") + os.mkdir(dir1) + os.mkdir(dir2) paths = [] dfs = [] @@ -320,8 +205,8 @@ def test_csv_read_many_files_diff_dirs( dfs.append(df) path = os.path.join(dir_path, f"test_{j}.csv") paths.append(path) - df.to_csv(path, index=False, storage_options=storage_options) - ds = ray.data.read_csv([dir1, dir2], filesystem=fs) + df.to_csv(path, index=False) + ds = ray.data.read_csv([dir1, dir2]) dsdf = ds.to_pandas().sort_values(by=["one"]).reset_index(drop=True) df = pd.concat(dfs).reset_index(drop=True) diff --git a/python/ray/data/tests/test_file_based_datasource.py b/python/ray/data/tests/test_file_based_datasource.py index 5d2df56f3cf2..fbf8c548bb44 100644 --- a/python/ray/data/tests/test_file_based_datasource.py +++ b/python/ray/data/tests/test_file_based_datasource.py @@ -1,8 +1,10 @@ import os from typing import Any, Dict, Iterator, List +from urllib.parse import urlparse import pyarrow import pytest +from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder @@ -41,6 +43,53 @@ def execute_read_tasks(tasks: List[ReadTask]) -> List[Dict[str, Any]]: return rows +def strip_scheme(uri): + """Remove scheme from a URI, if it exists.""" + parsed = urlparse(uri) + if parsed.scheme: + return uri.split("://", 1)[1] # remove scheme + return uri # no scheme, return as-is + + +@pytest.mark.parametrize( + "filesystem,dir_path,endpoint_url", + [ + (None, lazy_fixture("local_path"), None), + (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), + (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), + ( + lazy_fixture("s3_fs_with_space"), + lazy_fixture("s3_path_with_space"), + lazy_fixture("s3_server"), + ), + ( + lazy_fixture("s3_fs_with_special_chars"), + lazy_fixture("s3_path_with_special_chars"), + lazy_fixture("s3_server"), + ), + ], +) +def test_read_single_file(ray_start_regular_shared, filesystem, dir_path, endpoint_url): + # `FileBasedDatasource` should read from the local filesystem if you don't specify + # one. + write_filesystem = filesystem + if write_filesystem is None: + write_filesystem = pyarrow.fs.LocalFileSystem() + + # PyArrow filesystems expect paths without schemes. `FileBasedDatasource` handles + # this internally, but we need to manually strip the scheme for the test setup. + write_path = strip_scheme(os.path.join(dir_path, "file.txt")) + with write_filesystem.open_output_stream(write_path) as f: + f.write(b"spam") + + datasource = MockFileBasedDatasource(dir_path, filesystem=filesystem) + tasks = datasource.get_read_tasks(1) + + rows = execute_read_tasks(tasks) + + assert rows == [{"data": b"spam"}] + + def test_partitioning_hive(ray_start_regular_shared, tmp_path): path = os.path.join(tmp_path, "country=us") os.mkdir(path) From 96d069ace3b8159cb32e61100da2025f7508c289 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Mon, 8 Sep 2025 23:48:06 -0700 Subject: [PATCH 1110/1566] [core] Banning implementation deps (#56359) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 4 +-- .../core_worker/task_submission/BUILD.bazel | 8 ++--- src/ray/gcs/gcs_server/BUILD.bazel | 35 +++++++------------ src/ray/pubsub/BUILD.bazel | 6 ++-- 4 files changed, 18 insertions(+), 35 deletions(-) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 608f66964e61..e2c3ec5b77d9 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -13,9 +13,6 @@ ray_cc_library( "core_worker_rpc_proxy.h", "core_worker_shutdown_executor.h", ], - implementation_deps = [ - "//src/ray/util:time", - ], deps = [ ":actor_handle", ":actor_manager", @@ -60,6 +57,7 @@ ray_cc_library( "//src/ray/util:shared_lru", "//src/ray/util:stream_redirection", "//src/ray/util:stream_redirection_options", + "//src/ray/util:time", "@com_google_absl//absl/cleanup", "@com_google_absl//absl/strings", "@com_google_googletest//:gtest_prod", diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 7054fc3e68cc..53fcf8b306d1 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -57,9 +57,6 @@ ray_cc_library( name = "actor_task_submitter", srcs = ["actor_task_submitter.cc"], hdrs = ["actor_task_submitter.h"], - implementation_deps = [ - "//src/ray/util:time", - ], visibility = [ ":__subpackages__", "//src/ray/core_worker:__pkg__", @@ -74,6 +71,7 @@ ray_cc_library( "//src/ray/common:protobuf_utils", "//src/ray/core_worker:actor_creator", "//src/ray/rpc:core_worker_client", + "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -84,9 +82,6 @@ ray_cc_library( name = "normal_task_submitter", srcs = ["normal_task_submitter.cc"], hdrs = ["normal_task_submitter.h"], - implementation_deps = [ - "//src/ray/util:time", - ], visibility = [ ":__subpackages__", "//src/ray/core_worker:__pkg__", @@ -101,6 +96,7 @@ ray_cc_library( "//src/ray/core_worker:task_manager_interface", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:raylet_client_interface", + "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", ], ) diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 42b88c0c16f3..f34da0076caf 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -357,9 +357,6 @@ ray_cc_library( hdrs = [ "gcs_actor.h", ], - implementation_deps = [ - "//src/ray/util:logging", - ], deps = [ "//src/ray/common:id", "//src/ray/common:lease", @@ -369,6 +366,7 @@ ray_cc_library( "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/util:counter_map", "//src/ray/util:event", + "//src/ray/util:logging", ], ) @@ -380,22 +378,20 @@ ray_cc_library( hdrs = [ "gcs_actor_scheduler.h", ], - implementation_deps = [ - "//src/ray/common:ray_config", - "//src/ray/util:time", - ], deps = [ ":gcs_actor", ":gcs_node_manager", ":gcs_table_storage", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:raylet_client_interface", "//src/ray/util:logging", + "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_googletest//:gtest", @@ -410,14 +406,6 @@ ray_cc_library( hdrs = [ "gcs_actor_manager.h", ], - implementation_deps = [ - "//src/ray/common:protobuf_utils", - "//src/ray/common:ray_config", - "//src/ray/common:task_common", - "//src/ray/stats:stats_lib", - "//src/ray/util:logging", - "//src/ray/util:time", - ], deps = [ ":gcs_actor", ":gcs_actor_scheduler", @@ -428,12 +416,17 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", + "//src/ray/common:ray_config", + "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", "//src/ray/rpc:core_worker_client", + "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", "//src/ray/util:logging", "//src/ray/util:thread_checker", + "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_googletest//:gtest", @@ -448,13 +441,6 @@ ray_cc_library( hdrs = [ "gcs_autoscaler_state_manager.h", ], - implementation_deps = [ - "//src/ray/common:protobuf_utils", - "//src/ray/common:ray_config", - "//src/ray/util:logging", - "//src/ray/util:string_utils", - "//src/ray/util:time", - ], deps = [ ":gcs_actor_manager", ":gcs_init_data", @@ -465,9 +451,14 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:protobuf_utils", + "//src/ray/common:ray_config", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/pubsub:gcs_publisher", + "//src/ray/util:logging", + "//src/ray/util:string_utils", "//src/ray/util:thread_checker", + "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest", ], diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 2fce880c573b..01552be0f3da 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -80,15 +80,13 @@ ray_cc_library( name = "python_gcs_subscriber", srcs = ["python_gcs_subscriber.cc"], hdrs = ["python_gcs_subscriber.h"], - implementation_deps = [ - "//src/ray/rpc:gcs_client", - "@com_github_grpc_grpc//:grpc++", - ], deps = [ "//src/ray/common:status", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/rpc:gcs_client", "//src/ray/util:visibility", + "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", ], ) From c78da30df785428b44a8c44c0aa7350d225fb73b Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Tue, 9 Sep 2025 06:13:42 -0700 Subject: [PATCH 1111/1566] [RLlib][release test] Upgrade g3 to g4 machine for aws release test (#56248) ## Why are these changes needed? There are a few release test in core daily test that are using g3 machines: [RLlib rllib_learning_tests_poing_impala_torch](https://github.com/ray-project/ray/blob/master/release/release_tests.yaml#L2754-L2777) [rllib_learning_tests_pendulum_dreamerv3_torch](https://github.com/ray-project/ray/blob/master/release/release_tests.yaml#L2714C9-L2733) Since G3 machine are old and have lower availability, update to use newer machine, e.g. g4dn.8xlarge can reduce the stock out flakiness. A successful RLlib release test run: https://buildkite.com/ray-project/release/builds/56710 ## Related issue number Closes #56178 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/rllib_tests/2gpus_32cpus.yaml | 2 +- release/rllib_tests/2gpus_64cpus.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/release/rllib_tests/2gpus_32cpus.yaml b/release/rllib_tests/2gpus_32cpus.yaml index 02065ef9dc8f..06739cff5739 100644 --- a/release/rllib_tests/2gpus_32cpus.yaml +++ b/release/rllib_tests/2gpus_32cpus.yaml @@ -5,7 +5,7 @@ max_workers: 0 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.12xlarge worker_node_types: [] diff --git a/release/rllib_tests/2gpus_64cpus.yaml b/release/rllib_tests/2gpus_64cpus.yaml index bd7f534c1fdf..d1a1d0b54dca 100644 --- a/release/rllib_tests/2gpus_64cpus.yaml +++ b/release/rllib_tests/2gpus_64cpus.yaml @@ -5,7 +5,7 @@ max_workers: 1 head_node_type: name: head_node - instance_type: g3.8xlarge + instance_type: g4dn.12xlarge worker_node_types: - name: worker_node From 4d87e1da64c6dfb0437cca4067ed2d5942dfa7e2 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Tue, 9 Sep 2025 19:08:57 +0530 Subject: [PATCH 1112/1566] [core] Fix error handling for plasma put errors (#56070) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Followup to https://github.com/ray-project/ray/pull/55367#pullrequestreview-3153215777 - map Status -> ErrorType via MapStatusToErrorType (IOError->LOCAL_RAYLET_DIED, ObjectStoreFull/Transient->OUT_OF_MEMORY, OutOfDisk->OUT_OF_DISK_ERROR; default->WORKER_DIED). - no longer log‑and‑forget on any HandleTaskReturn error. - For streaming generator returns we now always put the error into the in‑memory store first (unblocks waiters) and only then best‑effort put to plasma; failures there are just warnings. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_process.cc | 24 +++++--- src/ray/core_worker/task_manager.cc | 64 +++++++++++++++++----- src/ray/core_worker/task_manager.h | 6 +- 3 files changed, 69 insertions(+), 25 deletions(-) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 3750dc5954c5..f514ce9f211c 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -425,14 +425,24 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( /*put_in_local_plasma_callback=*/ [this](const RayObject &object, const ObjectID &object_id) { auto core_worker = GetCoreWorker(); - auto put_status = - core_worker->PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true); - if (!put_status.ok()) { - RAY_LOG(WARNING).WithField(object_id) - << "Failed to put object in plasma store: " << put_status; - return put_status; + constexpr int max_retries = 3; + int attempt = 0; + int64_t backoff_ms = 10; + Status put_status; + while (attempt++ < max_retries) { + put_status = + core_worker->PutInLocalPlasmaStore(object, object_id, /*pin_object=*/true); + if (put_status.ok()) { + return Status::OK(); + } + // Backoff before retrying. + std::this_thread::sleep_for(std::chrono::milliseconds(backoff_ms)); + backoff_ms *= 2; } - return Status::OK(); + RAY_LOG(WARNING).WithField(object_id) + << "Exhausted plasma put retries (attempts=" << attempt + << ") with status: " << put_status; + return put_status; }, /* retry_task_callback= */ [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index c058ec121bbd..a78b481a76e8 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -38,6 +38,31 @@ constexpr int64_t kTaskFailureThrottlingThreshold = 50; // Throttle task failure logs to once this interval. constexpr int64_t kTaskFailureLoggingFrequencyMillis = 5000; +namespace { + +rpc::ErrorType MapPlasmaPutStatusToErrorType(const Status &status) { + // Only the following should be returned from plasma put paths today. + RAY_DCHECK(status.IsObjectStoreFull() || status.IsTransientObjectStoreFull() || + status.IsOutOfDisk() || status.IsIOError()) + << "Unexpected status from plasma put: " << status; + + if (status.IsObjectStoreFull() || status.IsTransientObjectStoreFull()) { + // TODO(codope): add a dedicated OBJECT_STORE_FULL error type and map to it. + // https://github.com/ray-project/ray/pull/56070 + return rpc::ErrorType::OUT_OF_MEMORY; + } + if (status.IsOutOfDisk()) { + return rpc::ErrorType::OUT_OF_DISK_ERROR; + } + if (status.IsIOError()) { + // Local IPC failure to plasma/raylet; attribute to local control-plane failure. + return rpc::ErrorType::LOCAL_RAYLET_DIED; + } + return rpc::ErrorType::WORKER_DIED; +} + +} // namespace + absl::flat_hash_set ObjectRefStream::GetItemsUnconsumed() const { absl::flat_hash_set result; for (int64_t index = 0; index <= max_index_seen_; index++) { @@ -580,11 +605,6 @@ StatusOr TaskManager::HandleTaskReturn(const ObjectID &object_id, tensor_transport.value_or(rpc::TensorTransport::OBJECT_STORE)); if (store_in_plasma) { Status s = put_in_local_plasma_callback_(object, object_id); - int retry_count = 0; - while (!s.ok() && s.IsTransientObjectStoreFull() && retry_count < 3) { - retry_count++; - s = put_in_local_plasma_callback_(object, object_id); - } if (!s.ok()) { return s; } @@ -922,10 +942,7 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, RAY_LOG(WARNING).WithField(object_id) << "Failed to handle dynamic task return: " << direct_or.status(); Status st = direct_or.status(); - rpc::ErrorType err_type = rpc::ErrorType::WORKER_DIED; - if (st.IsObjectStoreFull() || st.IsTransientObjectStoreFull()) { - err_type = rpc::ErrorType::OUT_OF_MEMORY; - } + rpc::ErrorType err_type = MapPlasmaPutStatusToErrorType(st); rpc::RayErrorInfo err_info; err_info.set_error_message(st.ToString()); FailOrRetryPendingTask(task_id, @@ -953,10 +970,13 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, // If storing return in plasma failed, treat as system failure for this attempt. // Do not proceed with normal completion. Mark task failed immediately. Status st = direct_or.status(); + rpc::ErrorType err_type = MapPlasmaPutStatusToErrorType(st); + rpc::RayErrorInfo err_info; + err_info.set_error_message(st.ToString()); FailOrRetryPendingTask(task_id, - rpc::ErrorType::WORKER_DIED, + err_type, &st, - /*ray_error_info=*/nullptr, + /*ray_error_info=*/&err_info, /*mark_task_object_failed=*/true, /*fail_immediately=*/true); return; @@ -1093,6 +1113,17 @@ void TaskManager::CompletePendingTask(const TaskID &task_id, RAY_LOG(WARNING).WithField(generator_return_id) << "Failed to handle generator return during app error propagation: " << res.status(); + Status st = res.status(); + rpc::ErrorType err_type = MapPlasmaPutStatusToErrorType(st); + rpc::RayErrorInfo err_info; + err_info.set_error_message(st.ToString()); + FailOrRetryPendingTask(spec.TaskId(), + err_type, + &st, + /*ray_error_info=*/&err_info, + /*mark_task_object_failed=*/true, + /*fail_immediately=*/true); + return; } } } @@ -1504,26 +1535,28 @@ void TaskManager::MarkTaskReturnObjectsFailed( int64_t num_returns = spec.NumReturns(); for (int i = 0; i < num_returns; i++) { const auto object_id = ObjectID::FromIndex(task_id, /*index=*/i + 1); - // Always place an error marker in local memory to unblock waiters quickly. - in_memory_store_.Put(error, object_id); - // Best-effort plasma put if the object was meant to be in plasma. if (store_in_plasma_ids.contains(object_id)) { Status s = put_in_local_plasma_callback_(error, object_id); if (!s.ok()) { RAY_LOG(WARNING).WithField(object_id) << "Failed to put error object in plasma: " << s; + in_memory_store_.Put(error, object_id); } + } else { + in_memory_store_.Put(error, object_id); } } if (spec.ReturnsDynamic()) { for (const auto &dynamic_return_id : spec.DynamicReturnIds()) { - in_memory_store_.Put(error, dynamic_return_id); if (store_in_plasma_ids.contains(dynamic_return_id)) { Status s = put_in_local_plasma_callback_(error, dynamic_return_id); if (!s.ok()) { RAY_LOG(WARNING).WithField(dynamic_return_id) << "Failed to put error object in plasma: " << s; + in_memory_store_.Put(error, dynamic_return_id); } + } else { + in_memory_store_.Put(error, dynamic_return_id); } } } @@ -1550,6 +1583,7 @@ void TaskManager::MarkTaskReturnObjectsFailed( if (!s.ok()) { RAY_LOG(WARNING).WithField(generator_return_id) << "Failed to put error object in plasma: " << s; + in_memory_store_.Put(error, generator_return_id); } } else { in_memory_store_.Put(error, generator_return_id); diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index f4d85337a0d1..8da151499087 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -614,9 +614,9 @@ class TaskManager : public TaskManagerInterface { void MarkTaskNoRetryInternal(const TaskID &task_id, bool canceled) ABSL_LOCKS_EXCLUDED(mu_); - /// Update nested ref count info and store the in-memory value for a task's - /// return object. On success, sets direct_return_out to true if the object's value - /// was returned directly by value (not stored in plasma). + /// Update nested ref count info and store the task's return object. + /// Returns StatusOr where the bool indicates the object was returned + /// directly in-memory (not stored in plasma) when true. StatusOr HandleTaskReturn(const ObjectID &object_id, const rpc::ReturnObject &return_object, const NodeID &worker_node_id, From e14b3869216c58f0e924a162f306604af9f13819 Mon Sep 17 00:00:00 2001 From: Haichuan Hu <74917084+KaisennHu@users.noreply.github.com> Date: Tue, 9 Sep 2025 21:43:28 +0800 Subject: [PATCH 1113/1566] [Tech-debt] Unify the Deprecation APIs across Ray libraries (#56326) It seems like that different serve libraries have different utilities for deprecation of classes and functions, it would be good to unify these utilities and put them under `ray/_common/deprecation.py` and remove the overhead of maintaining these individually across different libraries. Unit tests pass: image ## Related issue number Closes #56202 --------- Signed-off-by: Haichuan Hu Signed-off-by: Douglas Strodtman --- .../ray/_common}/deprecation.py | 2 +- python/ray/_common/tests/BUILD | 1 + python/ray/_common/tests/test_deprecation.py | 95 ++++++++++++ .../llm/_internal/common/utils/deprecation.py | 136 ------------------ python/ray/serve/llm/__init__.py | 3 +- rllib/algorithms/algorithm.py | 2 +- rllib/algorithms/algorithm_config.py | 2 +- rllib/algorithms/appo/appo.py | 2 +- rllib/algorithms/appo/appo_rl_module.py | 2 +- .../appo/torch/appo_torch_rl_module.py | 2 +- rllib/algorithms/cql/cql.py | 2 +- rllib/algorithms/dqn/dqn.py | 2 +- rllib/algorithms/impala/impala.py | 2 +- rllib/algorithms/marwil/marwil.py | 2 +- rllib/algorithms/ppo/ppo.py | 2 +- rllib/algorithms/ppo/ppo_rl_module.py | 2 +- .../ppo/torch/ppo_torch_rl_module.py | 2 +- rllib/algorithms/sac/sac.py | 2 +- rllib/core/learner/learner.py | 2 +- rllib/core/learner/learner_group.py | 2 +- rllib/core/models/catalog.py | 2 +- rllib/core/models/specs/specs_base.py | 2 +- rllib/core/models/specs/specs_dict.py | 2 +- rllib/core/rl_module/multi_rl_module.py | 2 +- rllib/core/rl_module/rl_module.py | 2 +- rllib/env/env_runner_group.py | 2 +- rllib/env/external_env.py | 2 +- rllib/env/multi_agent_env.py | 2 +- rllib/env/multi_agent_env_runner.py | 2 +- rllib/env/multi_agent_episode.py | 2 +- rllib/env/single_agent_env_runner.py | 2 +- rllib/env/single_agent_episode.py | 2 +- rllib/env/utils/external_env_protocol.py | 2 +- rllib/evaluation/sample_batch_builder.py | 2 +- rllib/evaluation/sampler.py | 2 +- rllib/evaluation/worker_set.py | 2 +- .../utils/self_play_callback_old_api_stack.py | 2 +- ...lay_league_based_callback_old_api_stack.py | 2 +- rllib/execution/multi_gpu_learner_thread.py | 2 +- rllib/execution/train_ops.py | 2 +- rllib/models/catalog.py | 2 +- rllib/models/distributions.py | 2 +- rllib/models/modelv2.py | 2 +- rllib/models/tf/attention_net.py | 2 +- rllib/models/tf/layers/gru_gate.py | 2 +- .../models/tf/layers/multi_head_attention.py | 2 +- rllib/models/tf/layers/noisy_layer.py | 2 +- .../layers/relative_multi_head_attention.py | 2 +- rllib/models/tf/layers/skip_connection.py | 2 +- rllib/models/tf/recurrent_net.py | 2 +- rllib/models/tf/tf_modelv2.py | 2 +- rllib/models/torch/attention_net.py | 2 +- rllib/models/torch/mingpt.py | 2 +- rllib/models/torch/recurrent_net.py | 2 +- rllib/models/torch/torch_distributions.py | 2 +- .../offline/estimators/feature_importance.py | 2 +- .../estimators/off_policy_estimator.py | 2 +- rllib/offline/is_estimator.py | 2 +- rllib/offline/off_policy_estimator.py | 2 +- rllib/offline/wis_estimator.py | 2 +- rllib/policy/dynamic_tf_policy.py | 2 +- rllib/policy/eager_tf_policy.py | 2 +- rllib/policy/policy.py | 2 +- rllib/policy/policy_map.py | 2 +- rllib/policy/sample_batch.py | 2 +- rllib/policy/tf_policy.py | 2 +- rllib/policy/tf_policy_template.py | 2 +- rllib/tests/run_regression_tests.py | 2 +- rllib/utils/__init__.py | 2 +- rllib/utils/annotations.py | 2 +- rllib/utils/filter.py | 4 +- rllib/utils/framework.py | 2 +- rllib/utils/memory.py | 2 +- rllib/utils/metrics/metrics_logger.py | 2 +- rllib/utils/numpy.py | 2 +- rllib/utils/policy.py | 2 +- .../multi_agent_replay_buffer.py | 2 +- rllib/utils/replay_buffers/utils.py | 4 +- rllib/utils/tests/run_memory_leak_tests.py | 2 +- 79 files changed, 174 insertions(+), 215 deletions(-) rename {rllib/utils => python/ray/_common}/deprecation.py (98%) create mode 100644 python/ray/_common/tests/test_deprecation.py delete mode 100644 python/ray/llm/_internal/common/utils/deprecation.py diff --git a/rllib/utils/deprecation.py b/python/ray/_common/deprecation.py similarity index 98% rename from rllib/utils/deprecation.py rename to python/ray/_common/deprecation.py index 7f5dd0e78b8b..fb89526d87a9 100644 --- a/rllib/utils/deprecation.py +++ b/python/ray/_common/deprecation.py @@ -71,7 +71,7 @@ def Deprecated(old=None, *, new=None, help=None, error): .. testcode:: :skipif: True - from ray.rllib.utils.deprecation import Deprecated + from ray._common.deprecation import Deprecated # Deprecated class: Patches the constructor to warn if the class is # used. @Deprecated(new="NewAndMuchCoolerClass", error=False) diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD index 8535dd58cb07..1cc36ef348a8 100644 --- a/python/ray/_common/tests/BUILD +++ b/python/ray/_common/tests/BUILD @@ -14,6 +14,7 @@ py_library( py_test_module_list( size = "small", files = [ + "test_deprecation.py", "test_network_utils.py", "test_ray_option_utils.py", "test_signal_semaphore_utils.py", diff --git a/python/ray/_common/tests/test_deprecation.py b/python/ray/_common/tests/test_deprecation.py new file mode 100644 index 000000000000..9f0b23efde3c --- /dev/null +++ b/python/ray/_common/tests/test_deprecation.py @@ -0,0 +1,95 @@ +import pytest +import sys +from ray._common.deprecation import ( + DEPRECATED_VALUE, + Deprecated, + deprecation_warning, +) +from unittest.mock import patch + + +def test_deprecation_warning_warn(): + with patch("ray._common.deprecation.logger.warning") as mock_warning: + deprecation_warning("old_feature", "new_feature") + + mock_warning.assert_called_once() + args, _ = mock_warning.call_args + assert ( + "DeprecationWarning: `old_feature` has been deprecated. Use `new_feature` instead." + in args[0] + ) + + +def test_deprecation_warning_error(): + with pytest.raises(ValueError) as excinfo: + deprecation_warning("old_feature", error=True) + assert "`old_feature` has been deprecated." in str(excinfo.value) + + +def test_deprecated_decorator_function(): + with patch("ray._common.deprecation.logger.warning") as mock_warning, patch( + "ray._common.deprecation.log_once" + ) as mock_log_once: + mock_log_once.return_value = True + + @Deprecated(old="old_func", new="new_func", error=False) + def old_func(): + return "result" + + result = old_func() + assert result == "result" + mock_warning.assert_called_once() + + +def test_deprecated_decorator_class(): + with patch("ray._common.deprecation.logger.warning") as mock_warning, patch( + "ray._common.deprecation.log_once" + ) as mock_log_once: + mock_log_once.return_value = True + + @Deprecated(old="OldClass", new="NewClass", error=False) + class OldClass: + pass + + instance = OldClass() + assert isinstance(instance, OldClass) + mock_warning.assert_called_once() + + +def test_deprecated_decorator_method(): + with patch("ray._common.deprecation.logger.warning") as mock_warning, patch( + "ray._common.deprecation.log_once" + ) as mock_log_once: + mock_log_once.return_value = True + + class MyClass: + @Deprecated(old="old_method", new="new_method", error=False) + def old_method(self): + return "method_result" + + instance = MyClass() + result = instance.old_method() + assert result == "method_result" + mock_warning.assert_called_once() + + +def test_deprecated_decorator_error(): + with patch("ray._common.deprecation.log_once") as mock_log_once: + mock_log_once.return_value = True + + @Deprecated(old="old_func", error=True) + def old_func(): + pass + + with pytest.raises(ValueError): + old_func() + + +def test_deprecated_value_constant(): + assert ( + DEPRECATED_VALUE == -1 + ), f"DEPRECATED_VALUE should be -1, but got {DEPRECATED_VALUE}" + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/llm/_internal/common/utils/deprecation.py b/python/ray/llm/_internal/common/utils/deprecation.py deleted file mode 100644 index f0a4cfbae186..000000000000 --- a/python/ray/llm/_internal/common/utils/deprecation.py +++ /dev/null @@ -1,136 +0,0 @@ -# Using Deprecated copied from ray.rllib.utils.deprecation since they are returning better messages. - -import inspect -import logging -from typing import Optional, Union - -from ray.util import log_once -from ray.util.annotations import _mark_annotated - -logger = logging.getLogger(__name__) - -# A constant to use for any configuration that should be deprecated -# (to check, whether this config has actually been assigned a proper value or -# not). -DEPRECATED_VALUE = -1 - - -def deprecation_warning( - old: str, - new: Optional[str] = None, - *, - help: Optional[str] = None, - error: Optional[Union[bool, Exception]] = None, -) -> None: - """Warns (via the `logger` object) or throws a deprecation warning/error. - - Args: - old: A description of the "thing" that is to be deprecated. - new: A description of the new "thing" that replaces it. - help: An optional help text to tell the user, what to - do instead of using `old`. - error: Whether or which exception to raise. If True, raise ValueError. - If False, just warn. If `error` is-a subclass of Exception, - raise that Exception. - - Raises: - ValueError: If `error=True`. - Exception: Of type `error`, iff `error` is a sub-class of `Exception`. - """ - msg = "`{}` has been deprecated.{}".format( - old, (" Use `{}` instead.".format(new) if new else f" {help}" if help else "") - ) - - if error: - if not isinstance(error, bool) and issubclass(error, Exception): - # error is an Exception - raise error(msg) - else: - # error is a boolean, construct ValueError ourselves - raise ValueError(msg) - else: - logger.warning( - "DeprecationWarning: " + msg + " This will raise an error in the future!" - ) - - -def Deprecated(old=None, *, new=None, help=None, error): - """Decorator for documenting a deprecated class, method, or function. - - Automatically adds a `deprecation.deprecation_warning(old=..., - error=False)` to not break existing code at this point to the decorated - class' constructor, method, or function. - - In a next major release, this warning should then be made an error - (by setting error=True), which means at this point that the - class/method/function is no longer supported, but will still inform - the user about the deprecation event. - - In a further major release, the class, method, function should be erased - entirely from the codebase. - - - .. testcode:: - :skipif: True - - from ray.rllib.utils.deprecation import Deprecated - # Deprecated class: Patches the constructor to warn if the class is - # used. - @Deprecated(new="NewAndMuchCoolerClass", error=False) - class OldAndUncoolClass: - ... - - # Deprecated class method: Patches the method to warn if called. - class StillCoolClass: - ... - @Deprecated(new="StillCoolClass.new_and_much_cooler_method()", - error=False) - def old_and_uncool_method(self, uncool_arg): - ... - - # Deprecated function: Patches the function to warn if called. - @Deprecated(new="new_and_much_cooler_function", error=False) - def old_and_uncool_function(*uncool_args): - ... - """ - - def _inner(obj): - # A deprecated class. - if inspect.isclass(obj): - # Patch the class' init method to raise the warning/error. - obj_init = obj.__init__ - - def patched_init(*args, **kwargs): - if log_once(old or obj.__name__): - deprecation_warning( - old=old or obj.__name__, - new=new, - help=help, - error=error, - ) - return obj_init(*args, **kwargs) - - obj.__init__ = patched_init - _mark_annotated(obj) - # Return the patched class (with the warning/error when - # instantiated). - return obj - - # A deprecated class method or function. - # Patch with the warning/error at the beginning. - def _ctor(*args, **kwargs): - if log_once(old or obj.__name__): - deprecation_warning( - old=old or obj.__name__, - new=new, - help=help, - error=error, - ) - # Call the deprecated method/function. - return obj(*args, **kwargs) - - # Return the patched class method/function. - return _ctor - - # Return the prepared decorator. - return _inner diff --git a/python/ray/serve/llm/__init__.py b/python/ray/serve/llm/__init__.py index 02db3545bd70..178268965db5 100644 --- a/python/ray/serve/llm/__init__.py +++ b/python/ray/serve/llm/__init__.py @@ -1,7 +1,6 @@ from typing import TYPE_CHECKING, Any, Dict, Optional, Union -# TODO (ahao): Ray core should inherit deprecation utility. -from ray.llm._internal.common.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.llm._internal.serve.configs.server_models import ( CloudMirrorConfig as _CloudMirrorConfig, LLMConfig as _LLMConfig, diff --git a/rllib/algorithms/algorithm.py b/rllib/algorithms/algorithm.py index d0ac2675ae11..5b3f56c8d96d 100644 --- a/rllib/algorithms/algorithm.py +++ b/rllib/algorithms/algorithm.py @@ -109,7 +109,7 @@ try_import_msgpack, ) from ray.rllib.utils.debug import update_global_seed_if_necessary -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, Deprecated, deprecation_warning, diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index 26067dc840ce..f58470da92ed 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -48,7 +48,7 @@ OldAPIStack, OverrideToImplementCustomLogic_CallToSuperRecommended, ) -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, Deprecated, deprecation_warning, diff --git a/rllib/algorithms/appo/appo.py b/rllib/algorithms/appo/appo.py index a59636df752d..c3bc4c0031bb 100644 --- a/rllib/algorithms/appo/appo.py +++ b/rllib/algorithms/appo/appo.py @@ -18,7 +18,7 @@ from ray.rllib.core.rl_module.rl_module import RLModuleSpec from ray.rllib.policy.policy import Policy from ray.rllib.utils.annotations import override -from ray.rllib.utils.deprecation import DEPRECATED_VALUE, deprecation_warning +from ray._common.deprecation import DEPRECATED_VALUE, deprecation_warning from ray.rllib.utils.metrics import ( LAST_TARGET_UPDATE_TS, NUM_AGENT_STEPS_SAMPLED, diff --git a/rllib/algorithms/appo/appo_rl_module.py b/rllib/algorithms/appo/appo_rl_module.py index 5a2f59f9f201..de9b862a92ab 100644 --- a/rllib/algorithms/appo/appo_rl_module.py +++ b/rllib/algorithms/appo/appo_rl_module.py @@ -2,7 +2,7 @@ from ray.rllib.algorithms.appo.default_appo_rl_module import ( # noqa DefaultAPPORLModule as APPORLModule, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( old="ray.rllib.algorithms.appo.appo_rl_module.APPORLModule", diff --git a/rllib/algorithms/appo/torch/appo_torch_rl_module.py b/rllib/algorithms/appo/torch/appo_torch_rl_module.py index ae60657b2c95..3bb3f0ba7f40 100644 --- a/rllib/algorithms/appo/torch/appo_torch_rl_module.py +++ b/rllib/algorithms/appo/torch/appo_torch_rl_module.py @@ -2,7 +2,7 @@ from ray.rllib.algorithms.appo.torch.default_appo_torch_rl_module import ( # noqa DefaultAPPOTorchRLModule as APPOTorchRLModule, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( diff --git a/rllib/algorithms/cql/cql.py b/rllib/algorithms/cql/cql.py index e2f3ac2eff44..6d3b95cad746 100644 --- a/rllib/algorithms/cql/cql.py +++ b/rllib/algorithms/cql/cql.py @@ -25,7 +25,7 @@ ) from ray.rllib.policy.policy import Policy from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, deprecation_warning, ) diff --git a/rllib/algorithms/dqn/dqn.py b/rllib/algorithms/dqn/dqn.py index 02014e72554c..6bc65698a56b 100644 --- a/rllib/algorithms/dqn/dqn.py +++ b/rllib/algorithms/dqn/dqn.py @@ -59,7 +59,7 @@ TD_ERROR_KEY, TIMERS, ) -from ray.rllib.utils.deprecation import DEPRECATED_VALUE +from ray._common.deprecation import DEPRECATED_VALUE from ray.rllib.utils.replay_buffers.utils import sample_min_n_steps_from_buffer from ray.rllib.utils.typing import ( LearningRateOrSchedule, diff --git a/rllib/algorithms/impala/impala.py b/rllib/algorithms/impala/impala.py index e3c2abfa1f37..c183b9e2f653 100644 --- a/rllib/algorithms/impala/impala.py +++ b/rllib/algorithms/impala/impala.py @@ -21,7 +21,7 @@ from ray.rllib.policy.policy import Policy from ray.rllib.policy.sample_batch import concat_samples from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import DEPRECATED_VALUE, deprecation_warning +from ray._common.deprecation import DEPRECATED_VALUE, deprecation_warning from ray.rllib.utils.metrics import ( AGGREGATOR_ACTOR_RESULTS, ALL_MODULES, diff --git a/rllib/algorithms/marwil/marwil.py b/rllib/algorithms/marwil/marwil.py index 4ebf1d9333a4..7dfb1e1dcde6 100644 --- a/rllib/algorithms/marwil/marwil.py +++ b/rllib/algorithms/marwil/marwil.py @@ -20,7 +20,7 @@ ) from ray.rllib.policy.policy import Policy from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.metrics import ( LEARNER_RESULTS, LEARNER_UPDATE_TIMER, diff --git a/rllib/algorithms/ppo/ppo.py b/rllib/algorithms/ppo/ppo.py index 2b28c5bd91c8..7ffa74477928 100644 --- a/rllib/algorithms/ppo/ppo.py +++ b/rllib/algorithms/ppo/ppo.py @@ -25,7 +25,7 @@ ) from ray.rllib.policy.policy import Policy from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import DEPRECATED_VALUE +from ray._common.deprecation import DEPRECATED_VALUE from ray.rllib.utils.metrics import ( ENV_RUNNER_RESULTS, ENV_RUNNER_SAMPLING_TIMER, diff --git a/rllib/algorithms/ppo/ppo_rl_module.py b/rllib/algorithms/ppo/ppo_rl_module.py index 78f1ccef9fbd..631bf29fdd62 100644 --- a/rllib/algorithms/ppo/ppo_rl_module.py +++ b/rllib/algorithms/ppo/ppo_rl_module.py @@ -2,7 +2,7 @@ from ray.rllib.algorithms.ppo.default_ppo_rl_module import ( # noqa DefaultPPORLModule as PPORLModule, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( old="ray.rllib.algorithms.ppo.ppo_rl_module.PPORLModule", diff --git a/rllib/algorithms/ppo/torch/ppo_torch_rl_module.py b/rllib/algorithms/ppo/torch/ppo_torch_rl_module.py index 60370a150497..66acb9e5fb5a 100644 --- a/rllib/algorithms/ppo/torch/ppo_torch_rl_module.py +++ b/rllib/algorithms/ppo/torch/ppo_torch_rl_module.py @@ -2,7 +2,7 @@ from ray.rllib.algorithms.ppo.torch.default_ppo_torch_rl_module import ( # noqa DefaultPPOTorchRLModule as PPOTorchRLModule, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( diff --git a/rllib/algorithms/sac/sac.py b/rllib/algorithms/sac/sac.py index 581434e03ed9..6a0c2375153a 100644 --- a/rllib/algorithms/sac/sac.py +++ b/rllib/algorithms/sac/sac.py @@ -15,7 +15,7 @@ from ray.rllib.policy.policy import Policy from ray.rllib.utils import deep_update from ray.rllib.utils.annotations import override -from ray.rllib.utils.deprecation import DEPRECATED_VALUE, deprecation_warning +from ray._common.deprecation import DEPRECATED_VALUE, deprecation_warning from ray.rllib.utils.framework import try_import_tf, try_import_tfp from ray.rllib.utils.replay_buffers.episode_replay_buffer import EpisodeReplayBuffer from ray.rllib.utils.typing import LearningRateOrSchedule, RLModuleSpecType diff --git a/rllib/core/learner/learner.py b/rllib/core/learner/learner.py index 3eab6072ff6f..e2c6578c9173 100644 --- a/rllib/core/learner/learner.py +++ b/rllib/core/learner/learner.py @@ -47,7 +47,7 @@ ) from ray.rllib.utils.checkpoints import Checkpointable from ray.rllib.utils.debug import update_global_seed_if_necessary -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.metrics import ( ALL_MODULES, diff --git a/rllib/core/learner/learner_group.py b/rllib/core/learner/learner_group.py index e1d816ff9e19..b1010950e746 100644 --- a/rllib/core/learner/learner_group.py +++ b/rllib/core/learner/learner_group.py @@ -34,7 +34,7 @@ ) from ray.rllib.utils.annotations import override from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.typing import ( EpisodeType, ModuleID, diff --git a/rllib/core/models/catalog.py b/rllib/core/models/catalog.py index f1bf8c6a3ea5..e4f9abe53b88 100644 --- a/rllib/core/models/catalog.py +++ b/rllib/core/models/catalog.py @@ -19,7 +19,7 @@ from ray.rllib.core.distribution.distribution import Distribution from ray.rllib.models.preprocessors import get_preprocessor, Preprocessor from ray.rllib.models.utils import get_filter_config -from ray.rllib.utils.deprecation import deprecation_warning, DEPRECATED_VALUE +from ray._common.deprecation import deprecation_warning, DEPRECATED_VALUE from ray.rllib.utils.error import UnsupportedSpaceException from ray.rllib.utils.spaces.simplex import Simplex from ray.rllib.utils.spaces.space_utils import flatten_space diff --git a/rllib/core/models/specs/specs_base.py b/rllib/core/models/specs/specs_base.py index 722267b3dc6d..2274fdd73641 100644 --- a/rllib/core/models/specs/specs_base.py +++ b/rllib/core/models/specs/specs_base.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @Deprecated( diff --git a/rllib/core/models/specs/specs_dict.py b/rllib/core/models/specs/specs_dict.py index 7d944688eb0e..9c60b46fe67d 100644 --- a/rllib/core/models/specs/specs_dict.py +++ b/rllib/core/models/specs/specs_dict.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @Deprecated( diff --git a/rllib/core/rl_module/multi_rl_module.py b/rllib/core/rl_module/multi_rl_module.py index c444f411b45a..5ba41d10931c 100644 --- a/rllib/core/rl_module/multi_rl_module.py +++ b/rllib/core/rl_module/multi_rl_module.py @@ -27,7 +27,7 @@ OverrideToImplementCustomLogic, ) from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( Deprecated, DEPRECATED_VALUE, deprecation_warning, diff --git a/rllib/core/rl_module/rl_module.py b/rllib/core/rl_module/rl_module.py index 247fa0b79160..eeb75a1cd680 100644 --- a/rllib/core/rl_module/rl_module.py +++ b/rllib/core/rl_module/rl_module.py @@ -14,7 +14,7 @@ OverrideToImplementCustomLogic, ) from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( Deprecated, DEPRECATED_VALUE, deprecation_warning, diff --git a/rllib/env/env_runner_group.py b/rllib/env/env_runner_group.py index 7d49910598dc..6974c1d30187 100644 --- a/rllib/env/env_runner_group.py +++ b/rllib/env/env_runner_group.py @@ -37,7 +37,7 @@ from ray.rllib.policy.policy import Policy, PolicyState from ray.rllib.utils.actor_manager import FaultTolerantActorManager from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( Deprecated, deprecation_warning, DEPRECATED_VALUE, diff --git a/rllib/env/external_env.py b/rllib/env/external_env.py index 41eb89d6c471..783ae256cb99 100644 --- a/rllib/env/external_env.py +++ b/rllib/env/external_env.py @@ -13,7 +13,7 @@ EnvType, MultiEnvDict, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning if TYPE_CHECKING: from ray.rllib.models.preprocessors import Preprocessor diff --git a/rllib/env/multi_agent_env.py b/rllib/env/multi_agent_env.py index 843169306dce..a09f2cd93f97 100644 --- a/rllib/env/multi_agent_env.py +++ b/rllib/env/multi_agent_env.py @@ -8,7 +8,7 @@ from ray.rllib.env.base_env import BaseEnv from ray.rllib.env.env_context import EnvContext from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.typing import ( AgentID, EnvCreator, diff --git a/rllib/env/multi_agent_env_runner.py b/rllib/env/multi_agent_env_runner.py index 2610d1f1ba2d..48d7e1a6a9af 100644 --- a/rllib/env/multi_agent_env_runner.py +++ b/rllib/env/multi_agent_env_runner.py @@ -28,7 +28,7 @@ from ray.rllib.utils import force_list from ray.rllib.utils.annotations import override from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import get_device, try_import_torch from ray.rllib.utils.metrics import ( ENV_TO_MODULE_CONNECTOR, diff --git a/rllib/env/multi_agent_episode.py b/rllib/env/multi_agent_episode.py index 76b078ef69ff..3e21bac0cb4e 100644 --- a/rllib/env/multi_agent_episode.py +++ b/rllib/env/multi_agent_episode.py @@ -20,7 +20,7 @@ from ray.rllib.env.utils.infinite_lookback_buffer import InfiniteLookbackBuffer from ray.rllib.policy.sample_batch import MultiAgentBatch from ray.rllib.utils import force_list -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.error import MultiAgentEnvError from ray.rllib.utils.spaces.space_utils import batch from ray.rllib.utils.typing import AgentID, ModuleID, MultiAgentDict diff --git a/rllib/env/single_agent_env_runner.py b/rllib/env/single_agent_env_runner.py index 05db62932cc3..d032f3a8d245 100644 --- a/rllib/env/single_agent_env_runner.py +++ b/rllib/env/single_agent_env_runner.py @@ -29,7 +29,7 @@ from ray.rllib.utils import force_list from ray.rllib.utils.annotations import override from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import get_device from ray.rllib.utils.metrics import ( ENV_TO_MODULE_CONNECTOR, diff --git a/rllib/env/single_agent_episode.py b/rllib/env/single_agent_episode.py index 7056ff5c43b3..03906ff3d692 100644 --- a/rllib/env/single_agent_episode.py +++ b/rllib/env/single_agent_episode.py @@ -13,7 +13,7 @@ from ray.rllib.env.utils.infinite_lookback_buffer import InfiniteLookbackBuffer from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.serialization import gym_space_from_dict, gym_space_to_dict -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.typing import AgentID, ModuleID from ray.util.annotations import PublicAPI diff --git a/rllib/env/utils/external_env_protocol.py b/rllib/env/utils/external_env_protocol.py index 7fedebedcd26..3356a87da30a 100644 --- a/rllib/env/utils/external_env_protocol.py +++ b/rllib/env/utils/external_env_protocol.py @@ -1,5 +1,5 @@ from ray.rllib.env.external.rllink import RLlink # noqa -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( old="ray.rllib.env.utils.external_env_protocol", diff --git a/rllib/evaluation/sample_batch_builder.py b/rllib/evaluation/sample_batch_builder.py index c4c748fe3bce..e42242e375a2 100644 --- a/rllib/evaluation/sample_batch_builder.py +++ b/rllib/evaluation/sample_batch_builder.py @@ -8,7 +8,7 @@ from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.debug import summarize -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.typing import PolicyID, AgentID from ray.util.debug import log_once diff --git a/rllib/evaluation/sampler.py b/rllib/evaluation/sampler.py index c6b4ce937e6b..9fb2a3700029 100644 --- a/rllib/evaluation/sampler.py +++ b/rllib/evaluation/sampler.py @@ -19,7 +19,7 @@ from ray.rllib.offline import InputReader from ray.rllib.policy.sample_batch import concat_samples from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import deprecation_warning, DEPRECATED_VALUE +from ray._common.deprecation import deprecation_warning, DEPRECATED_VALUE from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import SampleBatchType from ray.util.debug import log_once diff --git a/rllib/evaluation/worker_set.py b/rllib/evaluation/worker_set.py index 0eeea1ea2c8f..1f0beba433c2 100644 --- a/rllib/evaluation/worker_set.py +++ b/rllib/evaluation/worker_set.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @Deprecated( diff --git a/rllib/examples/multi_agent/utils/self_play_callback_old_api_stack.py b/rllib/examples/multi_agent/utils/self_play_callback_old_api_stack.py index 42b05b945017..eb19e57b02e4 100644 --- a/rllib/examples/multi_agent/utils/self_play_callback_old_api_stack.py +++ b/rllib/examples/multi_agent/utils/self_play_callback_old_api_stack.py @@ -1,7 +1,7 @@ import numpy as np from ray.rllib.callbacks.callbacks import RLlibCallback -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.metrics import ENV_RUNNER_RESULTS diff --git a/rllib/examples/multi_agent/utils/self_play_league_based_callback_old_api_stack.py b/rllib/examples/multi_agent/utils/self_play_league_based_callback_old_api_stack.py index dc39fa8fac9a..e33a208be488 100644 --- a/rllib/examples/multi_agent/utils/self_play_league_based_callback_old_api_stack.py +++ b/rllib/examples/multi_agent/utils/self_play_league_based_callback_old_api_stack.py @@ -3,7 +3,7 @@ import numpy as np from ray.rllib.callbacks.callbacks import RLlibCallback -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.metrics import ENV_RUNNER_RESULTS diff --git a/rllib/execution/multi_gpu_learner_thread.py b/rllib/execution/multi_gpu_learner_thread.py index aacf797b32b8..556586e88f58 100644 --- a/rllib/execution/multi_gpu_learner_thread.py +++ b/rllib/execution/multi_gpu_learner_thread.py @@ -7,7 +7,7 @@ from ray.rllib.execution.minibatch_buffer import MinibatchBuffer from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.metrics.learner_info import LearnerInfoBuilder from ray.rllib.evaluation.rollout_worker import RolloutWorker diff --git a/rllib/execution/train_ops.py b/rllib/execution/train_ops.py index 732beb92e7c4..ebed28078b51 100644 --- a/rllib/execution/train_ops.py +++ b/rllib/execution/train_ops.py @@ -6,7 +6,7 @@ from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.metrics import ( NUM_ENV_STEPS_TRAINED, NUM_AGENT_STEPS_TRAINED, diff --git a/rllib/models/catalog.py b/rllib/models/catalog.py index 0b2d393c0d11..59180bcc8691 100644 --- a/rllib/models/catalog.py +++ b/rllib/models/catalog.py @@ -31,7 +31,7 @@ TorchMultiCategorical, ) from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, deprecation_warning, ) diff --git a/rllib/models/distributions.py b/rllib/models/distributions.py index dac7b108d610..05d9670a8c7f 100644 --- a/rllib/models/distributions.py +++ b/rllib/models/distributions.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.core.distribution.distribution import Distribution # noqa deprecation_warning( diff --git a/rllib/models/modelv2.py b/rllib/models/modelv2.py index df07150e57ba..c3eda53c171d 100644 --- a/rllib/models/modelv2.py +++ b/rllib/models/modelv2.py @@ -11,7 +11,7 @@ from ray.rllib.policy.view_requirement import ViewRequirement from ray.rllib.utils import NullContextManager from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import try_import_tf, try_import_torch, TensorType from ray.rllib.utils.spaces.repeated import Repeated from ray.rllib.utils.typing import ModelConfigDict, ModelInputDict, TensorStructType diff --git a/rllib/models/tf/attention_net.py b/rllib/models/tf/attention_net.py index 886580fce177..3a250bf897c1 100644 --- a/rllib/models/tf/attention_net.py +++ b/rllib/models/tf/attention_net.py @@ -29,7 +29,7 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.tf_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType, List -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/gru_gate.py b/rllib/models/tf/layers/gru_gate.py index a41b23bbf534..4a3fc0ad5303 100644 --- a/rllib/models/tf/layers/gru_gate.py +++ b/rllib/models/tf/layers/gru_gate.py @@ -1,6 +1,6 @@ from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType, TensorShape -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/multi_head_attention.py b/rllib/models/tf/layers/multi_head_attention.py index 595608989f0b..d1372c59903e 100644 --- a/rllib/models/tf/layers/multi_head_attention.py +++ b/rllib/models/tf/layers/multi_head_attention.py @@ -5,7 +5,7 @@ """ from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/noisy_layer.py b/rllib/models/tf/layers/noisy_layer.py index 5bc149d5de13..b1ade2acf1fc 100644 --- a/rllib/models/tf/layers/noisy_layer.py +++ b/rllib/models/tf/layers/noisy_layer.py @@ -7,7 +7,7 @@ TensorType, TensorShape, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/relative_multi_head_attention.py b/rllib/models/tf/layers/relative_multi_head_attention.py index f88486ff2051..d0dfd3a20e40 100644 --- a/rllib/models/tf/layers/relative_multi_head_attention.py +++ b/rllib/models/tf/layers/relative_multi_head_attention.py @@ -2,7 +2,7 @@ from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/skip_connection.py b/rllib/models/tf/layers/skip_connection.py index 3ee1751caf36..1ae2525e997b 100644 --- a/rllib/models/tf/layers/skip_connection.py +++ b/rllib/models/tf/layers/skip_connection.py @@ -2,7 +2,7 @@ from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/recurrent_net.py b/rllib/models/tf/recurrent_net.py index 2010d4a90118..cd4d721a2967 100644 --- a/rllib/models/tf/recurrent_net.py +++ b/rllib/models/tf/recurrent_net.py @@ -15,7 +15,7 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.tf_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util.debug import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/tf_modelv2.py b/rllib/models/tf/tf_modelv2.py index 743879694424..f1ad20c3b65e 100644 --- a/rllib/models/tf/tf_modelv2.py +++ b/rllib/models/tf/tf_modelv2.py @@ -6,7 +6,7 @@ from ray.util import log_once from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import ModelConfigDict, TensorType diff --git a/rllib/models/torch/attention_net.py b/rllib/models/torch/attention_net.py index 2382a4da1381..d2624da0a5a2 100644 --- a/rllib/models/torch/attention_net.py +++ b/rllib/models/torch/attention_net.py @@ -30,7 +30,7 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.torch_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType, List -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util import log_once torch, nn = try_import_torch() diff --git a/rllib/models/torch/mingpt.py b/rllib/models/torch/mingpt.py index 7e24cfdc730a..f64ea12419b8 100644 --- a/rllib/models/torch/mingpt.py +++ b/rllib/models/torch/mingpt.py @@ -20,7 +20,7 @@ from torch.nn import functional as F from ray.rllib.utils.annotations import DeveloperAPI -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @DeveloperAPI diff --git a/rllib/models/torch/recurrent_net.py b/rllib/models/torch/recurrent_net.py index 01fbab223e29..d4afc688ea8e 100644 --- a/rllib/models/torch/recurrent_net.py +++ b/rllib/models/torch/recurrent_net.py @@ -15,7 +15,7 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.torch_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.util.debug import log_once torch, nn = try_import_torch() diff --git a/rllib/models/torch/torch_distributions.py b/rllib/models/torch/torch_distributions.py index afba9a9a16a6..d9f77b975f4a 100644 --- a/rllib/models/torch/torch_distributions.py +++ b/rllib/models/torch/torch_distributions.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.core.distribution.torch.torch_distribution import ( # noqa TorchDistribution, TorchCategorical, diff --git a/rllib/offline/estimators/feature_importance.py b/rllib/offline/estimators/feature_importance.py index a5d4d1718932..148426aefb9b 100644 --- a/rllib/offline/estimators/feature_importance.py +++ b/rllib/offline/estimators/feature_importance.py @@ -2,7 +2,7 @@ __all__ = ["FeatureImportance"] -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( "ray.rllib.offline.estimators.feature_importance.FeatureImportance", diff --git a/rllib/offline/estimators/off_policy_estimator.py b/rllib/offline/estimators/off_policy_estimator.py index 7c6ef95eb78b..9abee46c1a12 100644 --- a/rllib/offline/estimators/off_policy_estimator.py +++ b/rllib/offline/estimators/off_policy_estimator.py @@ -13,7 +13,7 @@ ExperimentalAPI, OverrideToImplementCustomLogic, ) -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.numpy import convert_to_numpy from ray.rllib.utils.typing import TensorType, SampleBatchType from ray.rllib.offline.offline_evaluator import OfflineEvaluator diff --git a/rllib/offline/is_estimator.py b/rllib/offline/is_estimator.py index 58c8da3e0c72..d395e3f9a356 100644 --- a/rllib/offline/is_estimator.py +++ b/rllib/offline/is_estimator.py @@ -1,5 +1,5 @@ from ray.rllib.offline.estimators.importance_sampling import ImportanceSampling -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @Deprecated( diff --git a/rllib/offline/off_policy_estimator.py b/rllib/offline/off_policy_estimator.py index c8a08fb4a1df..9d2b90195a57 100644 --- a/rllib/offline/off_policy_estimator.py +++ b/rllib/offline/off_policy_estimator.py @@ -1,7 +1,7 @@ from ray.rllib.offline.estimators.off_policy_estimator import ( # noqa: F401 OffPolicyEstimator, ) -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning deprecation_warning( old="ray.rllib.offline.off_policy_estimator", diff --git a/rllib/offline/wis_estimator.py b/rllib/offline/wis_estimator.py index 128b50e24b2a..95c7e3bcec09 100644 --- a/rllib/offline/wis_estimator.py +++ b/rllib/offline/wis_estimator.py @@ -1,7 +1,7 @@ from ray.rllib.offline.estimators.weighted_importance_sampling import ( WeightedImportanceSampling, ) -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated @Deprecated( diff --git a/rllib/policy/dynamic_tf_policy.py b/rllib/policy/dynamic_tf_policy.py index 9645faf6e08f..180f3059e6db 100644 --- a/rllib/policy/dynamic_tf_policy.py +++ b/rllib/policy/dynamic_tf_policy.py @@ -16,7 +16,7 @@ from ray.rllib.utils import force_list from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.debug import summarize -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( deprecation_warning, DEPRECATED_VALUE, ) diff --git a/rllib/policy/eager_tf_policy.py b/rllib/policy/eager_tf_policy.py index c2e4fa33f159..c4f43c6d4ee0 100644 --- a/rllib/policy/eager_tf_policy.py +++ b/rllib/policy/eager_tf_policy.py @@ -17,7 +17,7 @@ from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils import add_mixins, force_list from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, deprecation_warning, ) diff --git a/rllib/policy/policy.py b/rllib/policy/policy.py index 0b1db3653a8c..859e1d5847ac 100644 --- a/rllib/policy/policy.py +++ b/rllib/policy/policy.py @@ -40,7 +40,7 @@ get_checkpoint_info, try_import_msgpack, ) -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( DEPRECATED_VALUE, deprecation_warning, ) diff --git a/rllib/policy/policy_map.py b/rllib/policy/policy_map.py index b14b2a27056e..1627d3788939 100644 --- a/rllib/policy/policy_map.py +++ b/rllib/policy/policy_map.py @@ -6,7 +6,7 @@ import ray from ray.rllib.policy.policy import Policy from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.threading import with_lock from ray.rllib.utils.typing import PolicyID diff --git a/rllib/policy/sample_batch.py b/rllib/policy/sample_batch.py index 558140da8239..25bc6f313b09 100644 --- a/rllib/policy/sample_batch.py +++ b/rllib/policy/sample_batch.py @@ -12,7 +12,7 @@ from ray.rllib.core.columns import Columns from ray.rllib.utils.annotations import DeveloperAPI, ExperimentalAPI, PublicAPI from ray.rllib.utils.compression import pack, unpack, is_compressed -from ray.rllib.utils.deprecation import Deprecated, deprecation_warning +from ray._common.deprecation import Deprecated, deprecation_warning from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.rllib.utils.torch_utils import convert_to_torch_tensor from ray.rllib.utils.typing import ( diff --git a/rllib/policy/tf_policy.py b/rllib/policy/tf_policy.py index ff68aeed8a46..377ce00727ff 100644 --- a/rllib/policy/tf_policy.py +++ b/rllib/policy/tf_policy.py @@ -14,7 +14,7 @@ from ray.rllib.utils import force_list from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.debug import summarize -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.error import ERR_MSG_TF_POLICY_CANNOT_SAVE_KERAS_MODEL from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.metrics import ( diff --git a/rllib/policy/tf_policy_template.py b/rllib/policy/tf_policy_template.py index d82e0691b362..dea3687f5526 100644 --- a/rllib/policy/tf_policy_template.py +++ b/rllib/policy/tf_policy_template.py @@ -10,7 +10,7 @@ from ray.rllib.policy.tf_policy import TFPolicy from ray.rllib.utils import add_mixins, force_list from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.deprecation import ( +from ray._common.deprecation import ( deprecation_warning, DEPRECATED_VALUE, ) diff --git a/rllib/tests/run_regression_tests.py b/rllib/tests/run_regression_tests.py index e0a82f00499a..8fc62da78c23 100644 --- a/rllib/tests/run_regression_tests.py +++ b/rllib/tests/run_regression_tests.py @@ -16,7 +16,7 @@ from ray import air from ray.air.integrations.wandb import WandbLoggerCallback from ray.rllib import _register_all -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.metrics import ( ENV_RUNNER_RESULTS, EPISODE_RETURN_MEAN, diff --git a/rllib/utils/__init__.py b/rllib/utils/__init__.py index 7adcf6f7ca51..ff95e19a155f 100644 --- a/rllib/utils/__init__.py +++ b/rllib/utils/__init__.py @@ -5,7 +5,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union from ray.rllib.utils.annotations import override, PublicAPI, DeveloperAPI -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.filter import Filter from ray.rllib.utils.filter_manager import FilterManager from ray.rllib.utils.framework import ( diff --git a/rllib/utils/annotations.py b/rllib/utils/annotations.py index 6824412b354f..286c541e0f12 100644 --- a/rllib/utils/annotations.py +++ b/rllib/utils/annotations.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.util.annotations import _mark_annotated diff --git a/rllib/utils/filter.py b/rllib/utils/filter.py index 5f1418cfd2d1..8b4e6ffcd827 100644 --- a/rllib/utils/filter.py +++ b/rllib/utils/filter.py @@ -5,13 +5,13 @@ import tree # pip install dm_tree from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.numpy import ( SMALL_NUMBER, ) # Assuming SMALL_NUMBER is a small float like 1e-8 from ray.rllib.utils.typing import TensorStructType from ray.rllib.utils.serialization import _serialize_ndarray, _deserialize_ndarray -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning logger = logging.getLogger(__name__) diff --git a/rllib/utils/framework.py b/rllib/utils/framework.py index c0b9a28fa472..ba2280488d69 100644 --- a/rllib/utils/framework.py +++ b/rllib/utils/framework.py @@ -8,7 +8,7 @@ import ray from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.typing import ( TensorShape, TensorStructType, diff --git a/rllib/utils/memory.py b/rllib/utils/memory.py index fe739cc0f99b..323bec70c50f 100644 --- a/rllib/utils/memory.py +++ b/rllib/utils/memory.py @@ -1,4 +1,4 @@ -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.numpy import aligned_array, concat_aligned # noqa deprecation_warning( diff --git a/rllib/utils/metrics/metrics_logger.py b/rllib/utils/metrics/metrics_logger.py index 9d3ba1c4e8f9..d941db5599c3 100644 --- a/rllib/utils/metrics/metrics_logger.py +++ b/rllib/utils/metrics/metrics_logger.py @@ -4,7 +4,7 @@ from ray.rllib.utils import force_tuple, deep_update from ray.rllib.utils.metrics.stats import Stats, merge_stats -from ray.rllib.utils.deprecation import Deprecated, deprecation_warning +from ray._common.deprecation import Deprecated, deprecation_warning from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.util.annotations import PublicAPI from ray.util import log_once diff --git a/rllib/utils/numpy.py b/rllib/utils/numpy.py index b0970ad51427..f1bb8f2ff32b 100644 --- a/rllib/utils/numpy.py +++ b/rllib/utils/numpy.py @@ -7,7 +7,7 @@ from ray.rllib.utils.annotations import PublicAPI -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.rllib.utils.typing import SpaceStruct, TensorType, TensorStructType, Union diff --git a/rllib/utils/policy.py b/rllib/utils/policy.py index a5b6b2ccfda6..0cb149ced5bc 100644 --- a/rllib/utils/policy.py +++ b/rllib/utils/policy.py @@ -20,7 +20,7 @@ from ray.rllib.policy.policy import PolicySpec from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import ( ActionConnectorDataType, diff --git a/rllib/utils/replay_buffers/multi_agent_replay_buffer.py b/rllib/utils/replay_buffers/multi_agent_replay_buffer.py index ac3af0125b27..5fcfd75365c6 100644 --- a/rllib/utils/replay_buffers/multi_agent_replay_buffer.py +++ b/rllib/utils/replay_buffers/multi_agent_replay_buffer.py @@ -7,7 +7,7 @@ from ray.rllib.policy.rnn_sequencing import timeslice_along_seq_lens_with_overlap from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch from ray.rllib.utils.annotations import override -from ray.rllib.utils.deprecation import Deprecated +from ray._common.deprecation import Deprecated from ray.rllib.utils.from_config import from_config from ray.rllib.utils.replay_buffers.replay_buffer import ( _ALL_POLICIES, diff --git a/rllib/utils/replay_buffers/utils.py b/rllib/utils/replay_buffers/utils.py index 16fa37d0626f..baf24b6874c7 100644 --- a/rllib/utils/replay_buffers/utils.py +++ b/rllib/utils/replay_buffers/utils.py @@ -4,9 +4,9 @@ import numpy as np -from ray.rllib.utils import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.deprecation import DEPRECATED_VALUE +from ray._common.deprecation import DEPRECATED_VALUE from ray.rllib.utils.from_config import from_config from ray.rllib.utils.metrics import ALL_MODULES, TD_ERROR_KEY from ray.rllib.utils.metrics.learner_info import LEARNER_STATS_KEY diff --git a/rllib/utils/tests/run_memory_leak_tests.py b/rllib/utils/tests/run_memory_leak_tests.py index 4fc509fd7c88..36d5c96c2b93 100644 --- a/rllib/utils/tests/run_memory_leak_tests.py +++ b/rllib/utils/tests/run_memory_leak_tests.py @@ -26,7 +26,7 @@ from ray.rllib.common import SupportedFileType from ray.rllib.train import load_experiments_from_file from ray.rllib.utils.debug.memory import check_memory_leaks -from ray.rllib.utils.deprecation import deprecation_warning +from ray._common.deprecation import deprecation_warning from ray.tune.registry import get_trainable_cls parser = argparse.ArgumentParser() From e55bdb7c152912d1b1a1f7c0a3b225e57e5aedc3 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Tue, 9 Sep 2025 19:14:07 +0530 Subject: [PATCH 1114/1566] [core] Fix batching logic in `CoreWorkerPlasmaStoreProvider::Get` (#56041) This PR fixes a bug in `CoreWorkerPlasmaStoreProvider::Get`. The [batching logic](https://github.com/ray-project/ray/blob/235b43fd4ab81aab92010261d775dd48983ae983/src/ray/core_worker/store_provider/plasma_store_provider.cc#L287-L300) in `CoreWorkerPlasmaStoreProvider::Get` had two critical issues: 1. Incorrect loop condition: `i < batch_size` instead of `i < start + batch_size` 2. Incorrect array access: `id_vector[start + i]` instead of `id_vector[i]` Before fix: Only the first batch of objects was processed correctly. Subsequent batches were empty, causing incomplete object retrieval. For e.g., with batch_size = 2 and 5 objects, only objects 0-1 were processed, objects 2-4 were ignored. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- .../ray/object_manager/plasma/BUILD.bazel | 12 ++ .../plasma/fake_plasma_client.h | 106 ++++++++++++++++++ src/mock/ray/object_manager/plasma/client.h | 2 + src/ray/core_worker/core_worker_process.cc | 10 ++ .../store_provider/plasma_store_provider.cc | 31 +++-- .../store_provider/plasma_store_provider.h | 7 +- src/ray/core_worker/tests/BUILD.bazel | 1 + src/ray/core_worker/tests/core_worker_test.cc | 73 ++++++++++++ src/ray/object_manager/plasma/BUILD.bazel | 13 +++ src/ray/object_manager/plasma/client.h | 7 +- src/ray/raylet/tests/node_manager_test.cc | 2 + 11 files changed, 244 insertions(+), 20 deletions(-) create mode 100644 src/fakes/ray/object_manager/plasma/BUILD.bazel create mode 100644 src/fakes/ray/object_manager/plasma/fake_plasma_client.h diff --git a/src/fakes/ray/object_manager/plasma/BUILD.bazel b/src/fakes/ray/object_manager/plasma/BUILD.bazel new file mode 100644 index 000000000000..86e70b439f83 --- /dev/null +++ b/src/fakes/ray/object_manager/plasma/BUILD.bazel @@ -0,0 +1,12 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "fake_plasma_client", + hdrs = ["fake_plasma_client.h"], + deps = [ + "//src/ray/common:buffer", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/object_manager/plasma:plasma_client_interface", + ], +) diff --git a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h new file mode 100644 index 000000000000..74ab301fd259 --- /dev/null +++ b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h @@ -0,0 +1,106 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include +#include + +// A simple fake implementation of PlasmaClientInterface for use in unit tests. +// +// This base fake does nothing (returns OK for most methods, empty results for Get). +// Extend it in test files to add behavior (recording batches, timeouts, missing objects). + +#include "ray/common/buffer.h" +#include "ray/common/id.h" +#include "ray/common/status.h" +#include "ray/object_manager/plasma/client.h" + +namespace plasma { + +class FakePlasmaClient : public PlasmaClientInterface { + public: + FakePlasmaClient(std::vector> *observed_batches = nullptr) + : observed_batches_(observed_batches) {} + + Status Connect(const std::string &, const std::string &, int) override { + return Status::OK(); + } + + Status Release(const ObjectID &) override { return Status::OK(); } + + Status Contains(const ObjectID &, bool *) override { return Status::OK(); } + + Status Disconnect() override { return Status::OK(); } + + Status Get(const std::vector &object_ids, + int64_t /*timeout_ms*/, + std::vector *object_buffers) override { + if (observed_batches_ != nullptr) { + observed_batches_->push_back(object_ids); + } + // Return non-null buffers to simulate presence for tests. + object_buffers->resize(object_ids.size()); + for (size_t i = 0; i < object_ids.size(); i++) { + uint8_t byte = 0; + auto parent = + std::make_shared(&byte, 1, /*copy_data=*/true); + (*object_buffers)[i].data = SharedMemoryBuffer::Slice(parent, 0, 1); + (*object_buffers)[i].metadata = SharedMemoryBuffer::Slice(parent, 0, 1); + } + return Status::OK(); + } + + Status GetExperimentalMutableObject(const ObjectID &, + std::unique_ptr *) override { + return Status::OK(); + } + + Status Seal(const ObjectID &) override { return Status::OK(); } + + Status Abort(const ObjectID &) override { return Status::OK(); } + + Status CreateAndSpillIfNeeded(const ObjectID &, + const ray::rpc::Address &, + bool, + int64_t, + const uint8_t *, + int64_t, + std::shared_ptr *, + flatbuf::ObjectSource, + int) override { + return Status::OK(); + } + + Status TryCreateImmediately(const ObjectID &, + const ray::rpc::Address &, + int64_t, + const uint8_t *, + int64_t, + std::shared_ptr *, + flatbuf::ObjectSource, + int) override { + return Status::OK(); + } + + Status Delete(const std::vector &) override { return Status::OK(); } + + StatusOr GetMemoryUsage() override { return std::string("fake"); } + + private: + std::vector> *observed_batches_; +}; + +} // namespace plasma diff --git a/src/mock/ray/object_manager/plasma/client.h b/src/mock/ray/object_manager/plasma/client.h index 8e5905c73463..dd7617b58641 100644 --- a/src/mock/ray/object_manager/plasma/client.h +++ b/src/mock/ray/object_manager/plasma/client.h @@ -79,6 +79,8 @@ class MockPlasmaClient : public PlasmaClientInterface { (override)); MOCK_METHOD(Status, Delete, (const std::vector &object_ids), (override)); + + MOCK_METHOD(StatusOr, GetMemoryUsage, (), (override)); }; } // namespace plasma diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index f514ce9f211c..5aa2545c8dbf 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -35,6 +35,7 @@ #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client.h" +#include "ray/object_manager/plasma/client.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/container_util.h" @@ -353,6 +354,13 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( /*min_concurrent_lease_cap_*/ 10); } + // We can turn on exit_on_connection_failure on for the core worker plasma + // client to early exit core worker after the raylet's death because on the + // raylet side, we never proactively close the plasma store connection even + // during shutdown. So any error from the raylet side should be a sign of raylet + // death. + auto plasma_client = std::shared_ptr( + new plasma::PlasmaClient(/*exit_on_connection_failure*/ true)); auto plasma_store_provider = std::make_shared( options.store_socket, raylet_ipc_client, @@ -361,6 +369,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( /*warmup=*/ (options.worker_type != WorkerType::SPILL_WORKER && options.worker_type != WorkerType::RESTORE_WORKER), + /*store_client=*/plasma_client, + /*fetch_batch_size=*/RayConfig::instance().worker_fetch_request_size(), /*get_current_call_site=*/[this]() { auto core_worker = GetCoreWorker(); return core_worker->CurrentCallSite(); diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 98da568c13b5..3323a924ec50 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -67,17 +67,14 @@ CoreWorkerPlasmaStoreProvider::CoreWorkerPlasmaStoreProvider( ReferenceCounter &reference_counter, std::function check_signals, bool warmup, + std::shared_ptr store_client, + int64_t fetch_batch_size, std::function get_current_call_site) : raylet_ipc_client_(raylet_ipc_client), - // We can turn on exit_on_connection_failure on for the core worker plasma - // client to early exit core worker after the raylet's death because on the - // raylet side, we never proactively close the plasma store connection even - // during shutdown. So any error from the raylet side should be a sign of raylet - // death. - store_client_( - std::make_shared(/*exit_on_connection_failure*/ true)), + store_client_(std::move(store_client)), reference_counter_(reference_counter), - check_signals_(std::move(check_signals)) { + check_signals_(std::move(check_signals)), + fetch_batch_size_(fetch_batch_size) { if (get_current_call_site != nullptr) { get_current_call_site_ = get_current_call_site; } else { @@ -85,7 +82,10 @@ CoreWorkerPlasmaStoreProvider::CoreWorkerPlasmaStoreProvider( } object_store_full_delay_ms_ = RayConfig::instance().object_store_full_delay_ms(); buffer_tracker_ = std::make_shared(); - RAY_CHECK_OK(store_client_->Connect(store_socket)); + if (!store_socket.empty()) { + RAY_CHECK(store_client_ != nullptr) << "Plasma client must be provided"; + RAY_CHECK_OK(store_client_->Connect(store_socket)); + } if (warmup) { RAY_CHECK_OK(WarmupStore()); } @@ -224,9 +224,7 @@ Status CoreWorkerPlasmaStoreProvider::GetIfLocal( const std::vector &object_ids, absl::flat_hash_map> *results) { std::vector plasma_results; - RAY_RETURN_NOT_OK(store_client_->Get(object_ids, - /*timeout_ms=*/0, - &plasma_results)); + RAY_RETURN_NOT_OK(store_client_->Get(object_ids, /*timeout_ms=*/0, &plasma_results)); for (size_t i = 0; i < object_ids.size(); i++) { if (plasma_results[i].data != nullptr || plasma_results[i].metadata != nullptr) { @@ -278,17 +276,16 @@ Status CoreWorkerPlasmaStoreProvider::Get( const WorkerContext &ctx, absl::flat_hash_map> *results, bool *got_exception) { - int64_t batch_size = RayConfig::instance().worker_fetch_request_size(); std::vector batch_ids; absl::flat_hash_set remaining(object_ids.begin(), object_ids.end()); // Send initial requests to pull all objects in parallel. std::vector id_vector(object_ids.begin(), object_ids.end()); int64_t total_size = static_cast(object_ids.size()); - for (int64_t start = 0; start < total_size; start += batch_size) { + for (int64_t start = 0; start < total_size; start += fetch_batch_size_) { batch_ids.clear(); - for (int64_t i = start; i < batch_size && i < total_size; i++) { - batch_ids.push_back(id_vector[start + i]); + for (int64_t i = start; i < start + fetch_batch_size_ && i < total_size; i++) { + batch_ids.push_back(id_vector[i]); } RAY_RETURN_NOT_OK( PullObjectsAndGetFromPlasmaStore(remaining, @@ -315,7 +312,7 @@ Status CoreWorkerPlasmaStoreProvider::Get( while (!remaining.empty() && !should_break) { batch_ids.clear(); for (const auto &id : remaining) { - if (static_cast(batch_ids.size()) == batch_size) { + if (static_cast(batch_ids.size()) == fetch_batch_size_) { break; } batch_ids.push_back(id); diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index c0997f5c0222..0da5aac4437a 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -100,6 +100,8 @@ class CoreWorkerPlasmaStoreProvider { ReferenceCounter &reference_counter, std::function check_signals, bool warmup, + std::shared_ptr store_client, + int64_t fetch_batch_size, std::function get_current_call_site = nullptr); ~CoreWorkerPlasmaStoreProvider(); @@ -201,7 +203,7 @@ class CoreWorkerPlasmaStoreProvider { StatusOr GetMemoryUsage(); - std::shared_ptr &store_client() { return store_client_; } + std::shared_ptr &store_client() { return store_client_; } private: /// Ask the raylet to pull a set of objects and then attempt to get them @@ -236,7 +238,7 @@ class CoreWorkerPlasmaStoreProvider { Status WarmupStore(); const std::shared_ptr raylet_ipc_client_; - std::shared_ptr store_client_; + std::shared_ptr store_client_; /// Used to look up a plasma object's owner. ReferenceCounter &reference_counter_; std::function check_signals_; @@ -244,6 +246,7 @@ class CoreWorkerPlasmaStoreProvider { uint32_t object_store_full_delay_ms_; // Pointer to the shared buffer tracker. std::shared_ptr buffer_tracker_; + int64_t fetch_batch_size_ = 0; }; } // namespace core diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 6bd83a868c8b..6adf3162fa47 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -247,6 +247,7 @@ ray_cc_test( deps = [ "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/object_manager/plasma:fake_plasma_client", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:test_utils", "//src/ray/core_worker:core_worker_lib", diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 6770eaaac5a4..7923893880c9 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -24,11 +24,16 @@ #include #include +#include "absl/container/flat_hash_set.h" #include "fakes/ray/common/asio/fake_periodical_runner.h" +#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" #include "fakes/ray/pubsub/publisher.h" #include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/object_manager/plasma/client.h" +#include "ray/common/buffer.h" +#include "ray/common/ray_config.h" #include "ray/core_worker/actor_creator.h" #include "ray/core_worker/actor_manager.h" #include "ray/core_worker/context.h" @@ -38,6 +43,7 @@ #include "ray/core_worker/object_recovery_manager.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/core_worker/store_provider/plasma_store_provider.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/ipc/fake_raylet_ipc_client.h" @@ -568,5 +574,72 @@ TEST_F(CoreWorkerTest, ActorTaskCancelDuringDepResolution) { } } +TEST(BatchingPassesTwoTwoOneIntoPlasmaGet, CallsPlasmaGetInCorrectBatches) { + auto fake_raylet = std::make_shared(); + // Build a ReferenceCounter with minimal dependencies. + rpc::Address addr; + addr.set_ip_address("127.0.0.1"); + auto is_node_dead = [](const NodeID &) { return false; }; + ReferenceCounter ref_counter(addr, + /*object_info_publisher=*/nullptr, + /*object_info_subscriber=*/nullptr, + is_node_dead); + + // Fake plasma client that records Get calls. + std::vector> observed_batches; + class RecordingPlasmaGetClient : public plasma::FakePlasmaClient { + public: + explicit RecordingPlasmaGetClient(std::vector> *observed) + : observed_(observed) {} + Status Get(const std::vector &object_ids, + int64_t timeout_ms, + std::vector *object_buffers) override { + if (observed_ != nullptr) { + observed_->push_back(object_ids); + } + object_buffers->resize(object_ids.size()); + for (size_t i = 0; i < object_ids.size(); i++) { + uint8_t byte = 0; + auto parent = std::make_shared(&byte, 1, /*copy_data=*/true); + (*object_buffers)[i].data = SharedMemoryBuffer::Slice(parent, 0, 1); + (*object_buffers)[i].metadata = SharedMemoryBuffer::Slice(parent, 0, 1); + } + return Status::OK(); + } + + private: + std::vector> *observed_; + }; + + auto fake_plasma = std::make_shared(&observed_batches); + + CoreWorkerPlasmaStoreProvider provider( + /*store_socket=*/"", + fake_raylet, + ref_counter, + /*check_signals=*/[] { return Status::OK(); }, + /*warmup=*/false, + /*store_client=*/fake_plasma, + /*fetch_batch_size=*/2, + /*get_current_call_site=*/nullptr); + + // Build a set of 5 object ids. + std::vector ids; + for (int i = 0; i < 5; i++) ids.push_back(ObjectID::FromRandom()); + absl::flat_hash_set idset(ids.begin(), ids.end()); + + absl::flat_hash_map> results; + bool got_exception = false; + WorkerContext ctx(WorkerType::WORKER, WorkerID::FromRandom(), JobID::FromInt(0)); + + ASSERT_TRUE(provider.Get(idset, /*timeout_ms=*/-1, ctx, &results, &got_exception).ok()); + + // Assert: batches seen by plasma Get are [2,2,1]. + ASSERT_EQ(observed_batches.size(), 3U); + EXPECT_EQ(observed_batches[0].size(), 2U); + EXPECT_EQ(observed_batches[1].size(), 2U); + EXPECT_EQ(observed_batches[2].size(), 1U); +} + } // namespace core } // namespace ray diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 6efca1100e7a..ea88fcbe1501 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -51,6 +51,19 @@ ray_cc_library( ], ) +ray_cc_library( + name = "plasma_client_interface", + hdrs = ["client.h"], + deps = [ + "//src/ray/common:buffer", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/object_manager:object_manager_common", + "//src/ray/protobuf:common_cc_proto", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + ray_cc_library( name = "plasma_shared_memory", srcs = ["shared_memory.cc"], diff --git a/src/ray/object_manager/plasma/client.h b/src/ray/object_manager/plasma/client.h index dcf4bdfef3f1..befba9e60f58 100644 --- a/src/ray/object_manager/plasma/client.h +++ b/src/ray/object_manager/plasma/client.h @@ -229,6 +229,11 @@ class PlasmaClientInterface { /// \param object_ids The list of IDs of the objects to delete. /// \return The return status. If all the objects are non-existent, return OK. virtual Status Delete(const std::vector &object_ids) = 0; + + /// Get the current debug string from the plasma store server. + /// + /// \return the debug string if successful, otherwise return an error status. + virtual StatusOr GetMemoryUsage() = 0; }; class PlasmaClient : public PlasmaClientInterface { @@ -282,7 +287,7 @@ class PlasmaClient : public PlasmaClientInterface { /// Get the current debug string from the plasma store server. /// /// \return the debug string if successful, otherwise return an error status. - StatusOr GetMemoryUsage(); + StatusOr GetMemoryUsage() override; /// Get the memory capacity of the store. /// diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 8e4217ea9dfd..6b9469be35c5 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -178,6 +178,8 @@ class FakePlasmaClient : public plasma::PlasmaClientInterface { int64_t store_capacity() { return 1; } + StatusOr GetMemoryUsage() override { return std::string("fake"); } + private: absl::flat_hash_set objects_ids_in_plasma_; absl::flat_hash_map, std::vector>> From 753e7dd8cba1993942cc726bd4ceafb58e1255da Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 9 Sep 2025 08:47:03 -0700 Subject: [PATCH 1115/1566] [deps] upgrade boto3 to 1.29.x (#56363) upgrading boto3==2.28.17 -> boto3==1.29.7 --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- python/deplocks/llm/ray_test_py311_cpu.lock | 18 +- python/deplocks/llm/ray_test_py311_cu121.lock | 18 +- python/deplocks/llm/ray_test_py311_cu128.lock | 18 +- .../deplocks/llm/rayllm_test_py311_cpu.lock | 18 +- .../deplocks/llm/rayllm_test_py311_cu121.lock | 18 +- .../deplocks/llm/rayllm_test_py311_cu128.lock | 18 +- python/requirements/cloud-requirements.txt | 4 +- python/requirements/ml/data-requirements.txt | 2 +- python/requirements/test-requirements.txt | 2 +- python/requirements_compiled.txt | 10 +- .../byod/requirements_byod_3.9.txt | 238 +++++++++--------- .../byod/requirements_ml_byod_3.9.txt | 232 ++++++++--------- 12 files changed, 304 insertions(+), 292 deletions(-) diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index c142079eff8f..34f24980a9f5 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -2892,9 +2892,9 @@ rsa==4.7.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c /tmp/ray-deps/requirements_compiled.txt # boto3 diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index 87a35a550a95..833d864f0280 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -2892,9 +2892,9 @@ rsa==4.7.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c /tmp/ray-deps/requirements_compiled.txt # boto3 diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index ec467bbc1f61..19466b6fc222 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -272,16 +272,16 @@ bleach==6.1.0 \ # via # -c /tmp/ray-deps/requirements_compiled.txt # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c /tmp/ray-deps/requirements_compiled.txt # -r python/requirements/cloud-requirements.txt @@ -2892,9 +2892,9 @@ rsa==4.7.2 \ # -c /tmp/ray-deps/requirements_compiled.txt # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c /tmp/ray-deps/requirements_compiled.txt # boto3 diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index a64a3ea650a1..27b0f5a357e6 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt @@ -3906,9 +3906,9 @@ rsa==4.7.2 \ # -c python/deplocks/llm/ray_test_py311_cpu.lock # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # boto3 diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index 0f94bbb0514d..be1ce34fce70 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt @@ -3997,9 +3997,9 @@ rsa==4.7.2 \ # -c python/deplocks/llm/ray_test_py311_cu121.lock # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # boto3 diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index e4a81a7eab1d..df88832ae1be 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -376,16 +376,16 @@ bleach==6.1.0 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # nbconvert -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt # smart-open -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt @@ -3920,9 +3920,9 @@ rsa==4.7.2 \ # -c python/deplocks/llm/ray_test_py311_cu128.lock # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # boto3 diff --git a/python/requirements/cloud-requirements.txt b/python/requirements/cloud-requirements.txt index faccc9caa716..755a9bf44428 100644 --- a/python/requirements/cloud-requirements.txt +++ b/python/requirements/cloud-requirements.txt @@ -12,8 +12,8 @@ smart_open[s3,gcs,azure,http] adlfs[abfs] # Anyscale CLI requirements -boto3==1.28.17 -botocore>=1.31.17,<1.32.0 +boto3==1.29.7 +botocore==1.32.7 aiohttp>=3.7.4.post0 certifi>=2024.8.30 Click>=7.0 diff --git a/python/requirements/ml/data-requirements.txt b/python/requirements/ml/data-requirements.txt index 94f628a17cf9..931dea6f9143 100644 --- a/python/requirements/ml/data-requirements.txt +++ b/python/requirements/ml/data-requirements.txt @@ -6,7 +6,7 @@ dask[complete]==2023.6.1; python_version < '3.12' distributed==2023.6.1; python_version < '3.12' dask[complete]==2025.5.0; python_version >= '3.12' distributed==2025.5.0; python_version >= '3.12' -aioboto3==11.3.0 +aioboto3==12.1.0 crc32c==2.3 flask_cors bokeh==2.4.3; python_version < '3.12' diff --git a/python/requirements/test-requirements.txt b/python/requirements/test-requirements.txt index b59f858e70a1..7fa619651a3f 100644 --- a/python/requirements/test-requirements.txt +++ b/python/requirements/test-requirements.txt @@ -10,7 +10,7 @@ azure-mgmt-network==25.4.0 azure-mgmt-resource==23.1.1 msrestazure==0.6.4 beautifulsoup4==4.11.1 -boto3==1.28.17 +boto3==1.29.7 # Todo: investigate if we can get rid of this and exchange for ray.cloudpickle cloudpickle==2.2.0 ; python_version < "3.12" cloudpickle==3.0.0 ; python_version >= "3.12" diff --git a/python/requirements_compiled.txt b/python/requirements_compiled.txt index ad16f111c782..4b530883bb8a 100644 --- a/python/requirements_compiled.txt +++ b/python/requirements_compiled.txt @@ -34,9 +34,9 @@ aimrecords==0.0.7 # via aim aimrocks==0.5.2 # via aim -aioboto3==11.3.0 +aioboto3==12.1.0 # via -r python/requirements/ml/data-requirements.txt -aiobotocore==2.6.0 +aiobotocore==2.8.0 # via # aioboto3 # s3fs @@ -231,7 +231,7 @@ boltons==21.0.0 # semgrep boto==2.49.0 # via gcs-oauth2-boto-plugin -boto3==1.28.17 +boto3==1.29.7 # via # -r python/requirements/cloud-requirements.txt # -r python/requirements/test-requirements.txt @@ -241,7 +241,7 @@ boto3==1.28.17 # moto # smart-open # snowflake-connector-python -botocore==1.31.17 +botocore==1.32.7 # via # -r python/requirements/cloud-requirements.txt # aiobotocore @@ -1967,7 +1967,7 @@ ruamel-yaml-clib==0.2.8 # via ruamel-yaml s3fs==2023.12.1 # via -r python/requirements/ml/core-requirements.txt -s3transfer==0.6.2 +s3transfer==0.8.0 # via boto3 safetensors==0.4.3 # via diff --git a/release/ray_release/byod/requirements_byod_3.9.txt b/release/ray_release/byod/requirements_byod_3.9.txt index 1c291b2c3970..870a5236d18d 100644 --- a/release/ray_release/byod/requirements_byod_3.9.txt +++ b/release/ray_release/byod/requirements_byod_3.9.txt @@ -14,9 +14,9 @@ absl-py==1.4.0 \ # -c release/ray_release/byod/requirements_compiled.txt # tensorboard # tensorflow -aiobotocore==2.6.0 \ - --hash=sha256:0186e6a843364748cdbbf76ee98e9337c44f71a4e694ad1b110d5c516fbce909 \ - --hash=sha256:4805d0140bdfa17bfc2d0ba1243c8cc4273e927201fca5cf2e497c0004a9fab7 +aiobotocore==2.8.0 \ + --hash=sha256:32e632fea387acd45416c2bbc03828ee2c2a66a7dc4bd3a9bcb808dea249c469 \ + --hash=sha256:f160497cef21cfffc1a8d4219eeb27bb7b243389c2d021a812b9c0e3fb8e2bd1 # via # -c release/ray_release/byod/requirements_compiled.txt # s3fs @@ -204,15 +204,15 @@ boto==2.49.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c release/ray_release/byod/requirements_compiled.txt # aiobotocore @@ -2169,114 +2169,113 @@ pycparser==2.21 \ # via # -c release/ray_release/byod/requirements_compiled.txt # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - --hash=sha256:0d06b667e53320332be2bf6f9461f4a9b78092a079b8ce8634c9afaa7e10cd9f \ - --hash=sha256:153017e3d6cd3ce979de06d84343ca424bb6092727375eba1968c8b4693c6ecb \ - --hash=sha256:15e350efb67b855cd014c218716feea4986a149ed1f42a539edd271ee074a196 \ - --hash=sha256:185ef205256cd8b38431205698531026979db89a79587725c1e55c59101d64e9 \ - --hash=sha256:1da0c98a85a6c6ed702d5556db3b09c91f9b0b78de37b7593e2de8d03238807a \ - --hash=sha256:225bfff5d425c34e1fd562cef52d673579d59b967d9de06178850c4802af9039 \ - --hash=sha256:24f984fc7762ed5f806d9e8c4c77ea69fdb2afd987b4fd319ef06c87595a8c55 \ - --hash=sha256:25a7fd4de38f7ff99a37e18fa0098c3140286451bc823d1746ba80cec5b433a1 \ - --hash=sha256:2883b260f7a93235488699d39cbbd94fa7b175d3a8063fbfddd3e81ad9988cb2 \ - --hash=sha256:2a51ce96224eadd1845150b204389623c8e129fde5a67a84b972bd83a85c6c40 \ - --hash=sha256:2be0ad541bb9f059954ccf8877a49ed73877f862529575ff3d54bf4223e4dd61 \ - --hash=sha256:31a2cae5f059329f9cfe3d8d266d3da1543b60b60130d186d9b6a3c20a346361 \ - --hash=sha256:333c840a1303d1474f491e7be0b718226c730a39ead0f7dab2c7e6a2f3855555 \ - --hash=sha256:33d14369739c5d07e2e7102cdb0081a1fa46ed03215e07f097b34e020b83b1ae \ - --hash=sha256:35380671c3c921fe8adf31ad349dc6f7588b7e928dbe44e1093789734f607399 \ - --hash=sha256:359e7951f04ad35111b5ddce184db3391442345d0ab073aa63a95eb8af25a5ef \ - --hash=sha256:36aa167f69d8807ba7e341d67ea93e50fcaaf6bc433bb04939430fa3dab06f31 \ - --hash=sha256:395e3e1148fa7809016231f8065f30bb0dc285a97b4dc4360cd86e17bab58af7 \ - --hash=sha256:3e8d89c276234579cd3d095d5fa2a44eb10db9a218664a17b56363cddf226ff3 \ - --hash=sha256:3eb8849445c26b41c5a474061032c53e14fe92a11a5db969f722a2716cd12206 \ - --hash=sha256:3fd8bc2690e7c39eecdf9071b6a889ce7b22b72073863940edc2a0a23750ca90 \ - --hash=sha256:400bf470e4327e920883b51e255617dfe4496d4e80c3fea0b5a5d0bf2c404dd4 \ - --hash=sha256:4148dc9184ab79e356dc00a4199dc0ee8647973332cb385fc29a7cced49b9f9c \ - --hash=sha256:433689845288f9a1ee5714444e65957be26d30915f7745091ede4a83cfb2d7bb \ - --hash=sha256:43b61989068de9ce62296cde02beffabcadb65672207fc51e7af76dca75e6636 \ - 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--hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c release/ray_release/byod/requirements_compiled.txt # pydantic @@ -2639,9 +2638,9 @@ s3fs==2023.12.1 \ # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_byod_3.9.in -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c release/ray_release/byod/requirements_compiled.txt # boto3 @@ -2921,6 +2920,13 @@ typing-extensions==4.12.2 \ # starlette # tensorflow # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.txt b/release/ray_release/byod/requirements_ml_byod_3.9.txt index 687a325b9329..abe636e92761 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.txt +++ b/release/ray_release/byod/requirements_ml_byod_3.9.txt @@ -203,15 +203,15 @@ boto==2.49.0 \ # via # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin -boto3==1.28.17 \ - --hash=sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7 \ - --hash=sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in -botocore==1.31.17 \ - --hash=sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c \ - --hash=sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c release/ray_release/byod/requirements_compiled.txt # boto3 @@ -2815,116 +2815,115 @@ pycparser==2.21 \ # via # -c release/ray_release/byod/requirements_compiled.txt # cffi -pydantic==2.10.0 \ - --hash=sha256:0aca0f045ff6e2f097f1fe89521115335f15049eeb8a7bef3dafe4b19a74e289 \ - --hash=sha256:5e7807ba9201bdf61b1b58aa6eb690916c40a47acfb114b1b4fef3e7fd5b30fc +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.9.in # albumentations # deepspeed # fastapi -pydantic-core==2.27.0 \ - --hash=sha256:0aa4d1b2eba9a325897308b3124014a142cdccb9f3e016f31d3ebee6b5ea5e75 \ - 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--hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c release/ray_release/byod/requirements_compiled.txt # pydantic @@ -3414,9 +3413,9 @@ rsa==4.7.2 \ # gcs-oauth2-boto-plugin # google-auth # oauth2client -s3transfer==0.6.2 \ - --hash=sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084 \ - --hash=sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861 +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c release/ray_release/byod/requirements_compiled.txt # boto3 @@ -4479,7 +4478,14 @@ typing-extensions==4.12.2 \ # starlette # torch # typer + # typing-inspection # wandb +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 From 4e53ad1091c27b07824cde824386226bada2d901 Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Tue, 9 Sep 2025 21:44:01 +0530 Subject: [PATCH 1116/1566] Enable ruff lint for the entire code base (#56080) Signed-off-by: czgdp1807 Signed-off-by: Gagandeep Singh Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 1 - bazel/gen_extract.py | 2 +- ci/lint/git-clang-format | 1 + ci/ray_ci/anyscale_docker_container.py | 3 +- ci/ray_ci/test_anyscale_docker_container.py | 2 +- ci/raydepsets/cli.py | 11 ++-- ci/raydepsets/tests/test_cli.py | 3 +- ci/raydepsets/tests/test_workspace.py | 2 +- pyproject.toml | 2 +- python/ray/_common/network_utils.py | 3 +- python/ray/_common/test_utils.py | 11 ++-- .../ray/_common/tests/test_network_utils.py | 3 +- .../_common/tests/test_ray_option_utils.py | 13 +++-- .../tests/test_signal_semaphore_utils.py | 9 +-- python/ray/_common/tests/test_signature.py | 9 +-- python/ray/_common/tests/test_usage_stats.py | 16 ++--- python/ray/_common/tests/test_utils.py | 10 ++-- .../_common/tests/test_wait_for_condition.py | 5 +- python/ray/_common/usage/usage_lib.py | 2 +- python/ray/_common/utils.py | 5 +- python/ray/_raylet.pyi | 25 ++++---- .../ray/air/_internal/device_manager/npu.py | 2 +- python/ray/air/_internal/torch_utils.py | 15 +++-- python/ray/air/config.py | 4 +- python/ray/air/tests/test_air_usage.py | 4 +- python/ray/air/tests/test_arrow.py | 2 +- .../ray/air/tests/test_integration_wandb.py | 2 +- .../ray/air/util/object_extensions/arrow.py | 2 +- .../ray/air/util/tensor_extensions/arrow.py | 16 +++-- .../ray/air/util/tensor_extensions/utils.py | 2 +- python/ray/air/util/torch_dist.py | 2 +- python/ray/autoscaler/_private/gcp/config.py | 3 +- .../autoscaler/_private/gcp/node_provider.py | 2 +- .../_private/kuberay/node_provider.py | 2 +- .../_private/kuberay/run_autoscaler.py | 8 +-- python/ray/autoscaler/_private/monitor.py | 6 +- .../_private/spark/node_provider.py | 2 +- python/ray/autoscaler/_private/util.py | 2 +- .../autoscaler/local/coordinator_server.py | 4 +- python/ray/autoscaler/sdk/sdk.py | 6 +- python/ray/autoscaler/v2/autoscaler.py | 2 +- .../autoscaler/v2/instance_manager/config.py | 2 +- .../v2/instance_manager/ray_installer.py | 4 +- .../v2/instance_manager/reconciler.py | 8 +-- .../subscribers/threaded_ray_installer.py | 4 +- python/ray/autoscaler/v2/monitor.py | 8 +-- python/ray/autoscaler/v2/scheduler.py | 2 +- python/ray/autoscaler/v2/tests/test_e2e.py | 4 +- .../ray/autoscaler/v2/tests/test_scheduler.py | 2 +- .../v2/tests/test_threaded_ray_installer.py | 2 +- python/ray/autoscaler/v2/utils.py | 4 +- python/ray/client_builder.py | 3 +- python/ray/dashboard/agent.py | 2 +- python/ray/dashboard/dashboard.py | 8 +-- python/ray/dashboard/head.py | 4 +- python/ray/dashboard/http_server_agent.py | 2 +- python/ray/dashboard/http_server_head.py | 5 +- .../modules/aggregator/aggregator_agent.py | 20 ++++--- .../aggregator/tests/test_aggregator_agent.py | 58 +++++++++---------- .../ray/dashboard/modules/event/event_head.py | 2 +- .../modules/event/tests/test_event.py | 4 +- python/ray/dashboard/modules/job/cli.py | 2 +- python/ray/dashboard/modules/job/job_head.py | 4 +- .../ray/dashboard/modules/job/job_manager.py | 2 +- .../dashboard/modules/job/job_supervisor.py | 4 +- .../modules/job/tests/test_common.py | 2 +- .../job/tests/test_component_activities.py | 2 +- .../modules/job/tests/test_http_job_server.py | 2 +- .../modules/job/tests/test_job_agent.py | 4 +- .../modules/job/tests/test_job_manager.py | 13 +++-- .../dashboard/modules/job/tests/test_sdk.py | 2 +- .../dashboards/data_dashboard_panels.py | 2 +- .../dashboards/train_dashboard_panels.py | 3 +- .../dashboard/modules/node/tests/test_node.py | 2 +- .../modules/reporter/gpu_providers.py | 2 +- .../modules/reporter/healthz_agent.py | 2 +- .../modules/reporter/reporter_agent.py | 25 ++++---- .../modules/reporter/reporter_head.py | 4 +- .../modules/reporter/tests/test_actors.py | 7 ++- .../reporter/tests/test_gpu_providers.py | 8 +-- .../modules/reporter/tests/test_healthz.py | 2 +- .../modules/reporter/tests/test_reporter.py | 6 +- .../serve/tests/test_serve_dashboard.py | 2 +- .../serve/tests/test_serve_dashboard_2.py | 2 +- .../ray/dashboard/modules/state/state_head.py | 2 +- .../modules/usage_stats/usage_stats_head.py | 2 +- .../dashboard/subprocesses/tests/test_e2e.py | 7 +-- python/ray/dashboard/tests/test_dashboard.py | 10 ++-- python/ray/dashboard/utils.py | 2 +- python/ray/exceptions.py | 1 - python/ray/experimental/__init__.py | 2 +- .../channel/accelerator_context.py | 9 +-- python/ray/experimental/channel/common.py | 2 +- .../channel/communicator_handle.py | 1 + python/ray/experimental/channel/nccl_group.py | 2 +- .../channel/serialization_context.py | 2 +- .../torch_tensor_accelerator_channel.py | 14 ++--- .../ray/experimental/collective/__init__.py | 13 ++--- .../ray/experimental/collective/collective.py | 9 ++- .../collective/collective_tensor_transport.py | 9 ++- .../experimental/collective/communicator.py | 2 +- .../collective/nixl_tensor_transport.py | 10 ++-- .../ray/experimental/collective/operations.py | 4 +- .../collective/tensor_transport_manager.py | 11 ++-- python/ray/experimental/collective/util.py | 11 ++-- .../gpu_object_manager/gpu_object_manager.py | 11 ++-- .../gpu_object_manager/gpu_object_store.py | 9 ++- python/ray/remote_function.py | 2 +- python/ray/runtime_context.py | 2 +- python/ray/runtime_env/runtime_env.py | 2 +- python/ray/util/__init__.py | 7 +-- python/ray/util/accelerators/__init__.py | 32 +++++----- python/ray/util/accelerators/tpu.py | 1 + python/ray/util/actor_group.py | 6 +- python/ray/util/annotations.py | 4 +- python/ray/util/check_open_ports.py | 12 ++-- python/ray/util/check_serialize.py | 3 +- python/ray/util/client/__init__.py | 3 +- python/ray/util/client/client_app.py | 3 +- python/ray/util/client/client_pickler.py | 29 +++++----- python/ray/util/client/common.py | 2 +- python/ray/util/client/dataclient.py | 8 +-- python/ray/util/client/examples/run_tune.py | 3 +- python/ray/util/client/logsclient.py | 7 +-- python/ray/util/client/options.py | 4 +- python/ray/util/client/ray_client_helpers.py | 6 +- python/ray/util/client/runtime_context.py | 2 +- python/ray/util/client/server/dataservicer.py | 20 +++---- python/ray/util/client/server/proxier.py | 12 ++-- python/ray/util/client/server/server.py | 4 +- .../ray/util/client/server/server_pickler.py | 14 ++--- python/ray/util/client/server/server_stubs.py | 3 +- python/ray/util/client_connect.py | 4 +- python/ray/util/collective/__init__.py | 30 +++++----- .../collective_group/base_collective_group.py | 9 ++- .../collective_group/cuda_stream.py | 1 + .../collective_group/gloo_collective_group.py | 2 +- .../collective_group/nccl_collective_group.py | 17 +++--- .../collective/collective_group/nccl_util.py | 18 +++--- .../collective_group/nixl_backend.py | 6 +- .../torch_gloo_collective_group.py | 13 +++-- .../examples/nccl_allreduce_example.py | 2 +- ...reduce_example_declare_collective_group.py | 2 +- .../nccl_allreduce_multigpu_example.py | 4 +- .../examples/nccl_p2p_example_multigpu.py | 4 +- python/ray/util/collective/tests/conftest.py | 1 + python/ray/util/collective/tests/cpu_util.py | 6 +- .../test_distributed_allgather.py | 10 ++-- .../test_distributed_allreduce.py | 11 ++-- .../test_distributed_basic_apis.py | 10 ++-- .../test_distributed_broadcast.py | 9 +-- .../test_distributed_reduce.py | 9 +-- .../test_distributed_reducescatter.py | 10 ++-- .../test_distributed_sendrecv.py | 7 ++- .../test_distributed_allgather.py | 8 +-- .../test_distributed_allreduce.py | 7 +-- .../test_distributed_basic_apis.py | 8 ++- .../test_distributed_broadcast.py | 4 +- .../test_distributed_reduce.py | 6 +- .../test_distributed_reducescatter.py | 8 +-- .../test_distributed_sendrecv.py | 2 +- .../test_distributed_multigpu_allgather.py | 8 +-- .../test_distributed_multigpu_allreduce.py | 4 +- .../test_distributed_multigpu_basic_apis.py | 8 ++- .../test_distributed_multigpu_broadcast.py | 4 +- .../test_distributed_multigpu_reduce.py | 6 +- ...test_distributed_multigpu_reducescatter.py | 8 +-- .../test_distributed_multigpu_sendrecv.py | 2 +- .../single_node_cpu_tests/test_allgather.py | 6 +- .../single_node_cpu_tests/test_allreduce.py | 6 +- .../single_node_cpu_tests/test_basic_apis.py | 7 ++- .../single_node_cpu_tests/test_broadcast.py | 7 ++- .../test_gloo_group_isolation.py | 9 ++- .../single_node_cpu_tests/test_reduce.py | 9 +-- .../test_reducescatter.py | 10 ++-- .../single_node_cpu_tests/test_sendrecv.py | 9 +-- .../single_node_gpu_tests/test_allgather.py | 8 +-- .../single_node_gpu_tests/test_allreduce.py | 6 +- .../single_node_gpu_tests/test_basic_apis.py | 5 +- .../single_node_gpu_tests/test_broadcast.py | 4 +- .../single_node_gpu_tests/test_reduce.py | 6 +- .../test_reducescatter.py | 8 +-- .../single_node_gpu_tests/test_sendrecv.py | 4 +- python/ray/util/collective/tests/util.py | 8 +-- python/ray/util/collective/types.py | 4 +- python/ray/util/collective/util.py | 3 +- python/ray/util/dask/__init__.py | 14 ++--- python/ray/util/dask/callbacks.py | 3 +- python/ray/util/dask/common.py | 11 ++-- python/ray/util/dask/optimizations.py | 3 +- python/ray/util/dask/scheduler.py | 14 ++--- python/ray/util/dask/scheduler_utils.py | 2 +- .../ray/util/dask/tests/test_dask_callback.py | 3 +- .../util/dask/tests/test_dask_multi_node.py | 2 +- .../util/dask/tests/test_dask_optimization.py | 5 +- python/ray/util/debug.py | 5 +- python/ray/util/debugpy.py | 2 +- python/ray/util/helpers.py | 1 + python/ray/util/metrics.py | 9 ++- python/ray/util/multiprocessing/__init__.py | 2 +- python/ray/util/placement_group.py | 4 +- python/ray/util/queue.py | 2 +- python/ray/util/rpdb.py | 2 +- python/ray/util/scheduling_strategies.py | 3 +- python/ray/util/spark/__init__.py | 4 +- python/ray/util/spark/cluster_init.py | 55 +++++++++--------- python/ray/util/spark/databricks_hook.py | 6 +- python/ray/util/spark/start_ray_node.py | 13 ++--- python/ray/util/spark/utils.py | 14 ++--- python/ray/util/state/__init__.py | 13 ++--- python/ray/util/state/common.py | 22 +++---- python/ray/util/state/state_cli.py | 4 +- python/ray/util/state/state_manager.py | 10 ++-- python/ray/util/state/util.py | 1 + .../util/tracing/setup_local_tmp_tracing.py | 1 + .../ray/util/tracing/setup_tempo_tracing.py | 2 +- 216 files changed, 721 insertions(+), 712 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 89ba195ebe62..d404d2c92c99 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -44,7 +44,6 @@ repos: args: [ --fix, --exit-non-zero-on-fix ] - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] - files: '^python/ray/serve/|^python/ray/train|^python/ray/data|^python/ray/_private/|^python/ray/llm/|^python/ray/tune/|^python/ray/includes/|^python/ray/internal/|^python/ray/ray_operator/|^python/ray/scripts/|^python/ray/streaming/|^python/ray/dag/|^python/ray/tests/|^python/ray/setup-dev.py|^python/ray/cloudpickle/|^python/ray/workers/|^python/ray/workflow/' - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" diff --git a/bazel/gen_extract.py b/bazel/gen_extract.py index 80402bc9f39c..a635922011ee 100644 --- a/bazel/gen_extract.py +++ b/bazel/gen_extract.py @@ -1,7 +1,7 @@ -from typing import List, Optional import os import shutil import subprocess +from typing import List, Optional import runfiles diff --git a/ci/lint/git-clang-format b/ci/lint/git-clang-format index 46b466ee191b..6972b1bf7c6e 100755 --- a/ci/lint/git-clang-format +++ b/ci/lint/git-clang-format @@ -25,6 +25,7 @@ Requires Python 2.7 or Python 3 """ from __future__ import absolute_import, division, print_function + import argparse import collections import contextlib diff --git a/ci/ray_ci/anyscale_docker_container.py b/ci/ray_ci/anyscale_docker_container.py index ff8499233daa..112b520cd6eb 100644 --- a/ci/ray_ci/anyscale_docker_container.py +++ b/ci/ray_ci/anyscale_docker_container.py @@ -1,6 +1,7 @@ +from ray_release.configs.global_config import get_global_config + from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY from ci.ray_ci.docker_container import DockerContainer -from ray_release.configs.global_config import get_global_config class AnyscaleDockerContainer(DockerContainer): diff --git a/ci/ray_ci/test_anyscale_docker_container.py b/ci/ray_ci/test_anyscale_docker_container.py index 5214b2c6a056..6d96cab52cb7 100644 --- a/ci/ray_ci/test_anyscale_docker_container.py +++ b/ci/ray_ci/test_anyscale_docker_container.py @@ -4,11 +4,11 @@ from unittest import mock import pytest +from ray_release.configs.global_config import get_global_config from ci.ray_ci.anyscale_docker_container import AnyscaleDockerContainer from ci.ray_ci.container import _DOCKER_ECR_REPO, _DOCKER_GCP_REGISTRY from ci.ray_ci.test_base import RayCITestBase -from ray_release.configs.global_config import get_global_config class TestAnyscaleDockerContainer(RayCITestBase): diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index aae4b6de5c83..e614d5a3a179 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,14 +1,15 @@ +import difflib import platform +import shutil import subprocess +import sys +import tempfile from pathlib import Path from typing import List, Optional -import shutil + import click import runfiles -import tempfile -import difflib -import sys -from networkx import DiGraph, topological_sort, ancestors as networkx_ancestors +from networkx import DiGraph, ancestors as networkx_ancestors, topological_sort from ci.raydepsets.workspace import Depset, Workspace diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 70ff7f2d89e6..a05932336f9c 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -2,9 +2,10 @@ import sys import tempfile import unittest +from pathlib import Path from typing import Optional + import pytest -from pathlib import Path import runfiles from click.testing import CliRunner from networkx import topological_sort diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index 318fc07c52c4..50ca28aedf65 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -5,7 +5,7 @@ import pytest from ci.raydepsets.tests.utils import copy_data_to_tmpdir -from ci.raydepsets.workspace import Workspace, _substitute_build_args, BuildArgSet +from ci.raydepsets.workspace import BuildArgSet, Workspace, _substitute_build_args def test_workspace_init(): diff --git a/pyproject.toml b/pyproject.toml index 5711be013c27..c8c2219e451f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,7 +64,7 @@ afterray = ["psutil", "setproctitle"] "doc/*" = ["I"] "python/ray/__init__.py" = ["I"] "python/ray/dag/__init__.py" = ["I"] -"python/ray/util/*" = ["I"] +"python/ray/air/__init__.py" = ["I"] "rllib/*" = ["I"] "release/*" = ["I"] diff --git a/python/ray/_common/network_utils.py b/python/ray/_common/network_utils.py index 9664c53a94a2..b97eb55042d8 100644 --- a/python/ray/_common/network_utils.py +++ b/python/ray/_common/network_utils.py @@ -1,7 +1,6 @@ from typing import Optional, Tuple, Union -from ray._raylet import build_address as _build_address -from ray._raylet import parse_address as _parse_address +from ray._raylet import build_address as _build_address, parse_address as _parse_address def parse_address(address: str) -> Optional[Tuple[str, str]]: diff --git a/python/ray/_common/test_utils.py b/python/ray/_common/test_utils.py index 957a73be0158..c5e6020b1c98 100644 --- a/python/ray/_common/test_utils.py +++ b/python/ray/_common/test_utils.py @@ -6,21 +6,20 @@ """ import asyncio -from collections.abc import Awaitable -from contextlib import contextmanager import inspect import os import time import traceback -from typing import Any, Callable, Dict, Iterator, List, Optional, Set import uuid +from collections.abc import Awaitable +from contextlib import contextmanager from enum import Enum - +from typing import Any, Callable, Dict, Iterator, List, Optional, Set import ray -from ray._common.network_utils import build_address -import ray._private.utils import ray._common.usage.usage_lib as ray_usage_lib +import ray._private.utils +from ray._common.network_utils import build_address @ray.remote(num_cpus=0) diff --git a/python/ray/_common/tests/test_network_utils.py b/python/ray/_common/tests/test_network_utils.py index 347eed26055a..8aac0e1be420 100644 --- a/python/ray/_common/tests/test_network_utils.py +++ b/python/ray/_common/tests/test_network_utils.py @@ -1,6 +1,7 @@ -import pytest import sys +import pytest + from ray._common.network_utils import is_localhost diff --git a/python/ray/_common/tests/test_ray_option_utils.py b/python/ray/_common/tests/test_ray_option_utils.py index 48d48f385927..5cf52057a1f7 100644 --- a/python/ray/_common/tests/test_ray_option_utils.py +++ b/python/ray/_common/tests/test_ray_option_utils.py @@ -1,20 +1,21 @@ -import pytest import re import sys from unittest.mock import patch -from ray.util.placement_group import PlacementGroup +import pytest + from ray._common.ray_option_utils import ( Option, + _check_deprecate_placement_group, _counting_option, - _validate_resource_quantity, _resource_option, + _validate_resource_quantity, _validate_resources, - validate_task_options, - validate_actor_options, update_options, - _check_deprecate_placement_group, + validate_actor_options, + validate_task_options, ) +from ray.util.placement_group import PlacementGroup class TestOptionValidation: diff --git a/python/ray/_common/tests/test_signal_semaphore_utils.py b/python/ray/_common/tests/test_signal_semaphore_utils.py index 3c798c783678..dec2a21800b5 100644 --- a/python/ray/_common/tests/test_signal_semaphore_utils.py +++ b/python/ray/_common/tests/test_signal_semaphore_utils.py @@ -5,13 +5,14 @@ and synchronization in Ray tests. """ -import pytest import sys -import ray -from ray._common.test_utils import SignalActor, Semaphore -from ray._common.test_utils import wait_for_condition import time +import pytest + +import ray +from ray._common.test_utils import Semaphore, SignalActor, wait_for_condition + @pytest.fixture(scope="module") def ray_init(): diff --git a/python/ray/_common/tests/test_signature.py b/python/ray/_common/tests/test_signature.py index 8e0173fc38e6..e4691eebeae7 100644 --- a/python/ray/_common/tests/test_signature.py +++ b/python/ray/_common/tests/test_signature.py @@ -6,18 +6,19 @@ """ import inspect -import pytest import sys from typing import Any, Optional from unittest.mock import Mock, patch +import pytest + from ray._common.signature import ( - get_signature, + DUMMY_TYPE, extract_signature, - validate_args, flatten_args, + get_signature, recover_args, - DUMMY_TYPE, + validate_args, ) diff --git a/python/ray/_common/tests/test_usage_stats.py b/python/ray/_common/tests/test_usage_stats.py index fc871a2e9638..99fa1b1d6cc7 100644 --- a/python/ray/_common/tests/test_usage_stats.py +++ b/python/ray/_common/tests/test_usage_stats.py @@ -2,34 +2,34 @@ import os import pathlib import sys -import time import threading +import time from dataclasses import asdict +from http.server import BaseHTTPRequestHandler, HTTPServer from pathlib import Path from unittest.mock import Mock, patch -from ray._common.test_utils import wait_for_condition -from ray._raylet import GcsClient -from ray.tests.conftest import * # noqa: F403 -import requests import pytest +import requests from jsonschema import validate -from http.server import BaseHTTPRequestHandler, HTTPServer import ray import ray._common.usage.usage_constants as usage_constants import ray._common.usage.usage_lib as ray_usage_lib +from ray._common.test_utils import wait_for_condition +from ray._common.usage.usage_lib import ClusterConfigToReport, UsageStatsEnabledness +from ray._private.accelerators import NvidiaGPUAcceleratorManager from ray._private.test_utils import ( format_web_url, run_string_as_driver, wait_until_server_available, ) -from ray._common.usage.usage_lib import ClusterConfigToReport, UsageStatsEnabledness +from ray._raylet import GcsClient from ray.autoscaler._private.cli_logger import cli_logger +from ray.tests.conftest import * # noqa: F403 from ray.util.placement_group import ( placement_group, ) -from ray._private.accelerators import NvidiaGPUAcceleratorManager schema = { "$schema": "http://json-schema.org/draft-07/schema#", diff --git a/python/ray/_common/tests/test_utils.py b/python/ray/_common/tests/test_utils.py index c3d437bb7586..491781924df9 100644 --- a/python/ray/_common/tests/test_utils.py +++ b/python/ray/_common/tests/test_utils.py @@ -6,20 +6,20 @@ """ import asyncio -import warnings -import sys import os +import sys import tempfile +import warnings import pytest from ray._common.utils import ( + _BACKGROUND_TASKS, get_or_create_event_loop, + get_system_memory, + load_class, run_background_task, - _BACKGROUND_TASKS, try_to_create_directory, - load_class, - get_system_memory, ) # Optional imports for testing diff --git a/python/ray/_common/tests/test_wait_for_condition.py b/python/ray/_common/tests/test_wait_for_condition.py index 52cb8c9cd2b0..045817ca1aa2 100644 --- a/python/ray/_common/tests/test_wait_for_condition.py +++ b/python/ray/_common/tests/test_wait_for_condition.py @@ -1,9 +1,10 @@ import asyncio -import time import sys +import time + import pytest -from ray._common.test_utils import wait_for_condition, async_wait_for_condition +from ray._common.test_utils import async_wait_for_condition, wait_for_condition class TestWaitForCondition: diff --git a/python/ray/_common/usage/usage_lib.py b/python/ray/_common/usage/usage_lib.py index c2e7f2345f33..cb1536721186 100644 --- a/python/ray/_common/usage/usage_lib.py +++ b/python/ray/_common/usage/usage_lib.py @@ -57,8 +57,8 @@ import yaml import ray -import ray._private.ray_constants as ray_constants import ray._common.usage.usage_constants as usage_constant +import ray._private.ray_constants as ray_constants from ray._raylet import GcsClient from ray.core.generated import gcs_pb2, usage_pb2 from ray.experimental.internal_kv import ( diff --git a/python/ray/_common/utils.py b/python/ray/_common/utils.py index 103c40397801..28a05a356549 100644 --- a/python/ray/_common/utils.py +++ b/python/ray/_common/utils.py @@ -3,15 +3,16 @@ import errno import importlib import inspect -from inspect import signature import os -import psutil import random import string import sys import tempfile +from inspect import signature from typing import Any, Coroutine, Dict, Optional +import psutil + def import_attr(full_path: str, *, reload_module: bool = False): """Given a full import path to a module attr, return the imported attr. diff --git a/python/ray/_raylet.pyi b/python/ray/_raylet.pyi index 96c79d343b19..fff69c451b67 100644 --- a/python/ray/_raylet.pyi +++ b/python/ray/_raylet.pyi @@ -1,25 +1,20 @@ -from ray.includes.object_ref import ( - _set_future_helper, - ObjectRef -) - +from ray.includes.object_ref import ObjectRef, _set_future_helper from ray.includes.unique_ids import ( - check_id, - BaseID, - UniqueID, - TaskID, - NodeID, - JobID, - WorkerID, - ActorID, - FunctionID, ActorClassID, + ActorID, + BaseID, ClusterID, + FunctionID, + JobID, + NodeID, ObjectID, PlacementGroupID, + TaskID, + UniqueID, + WorkerID, + check_id, ) - __all__ = [ # ray.includes.unique_ids "ActorClassID", diff --git a/python/ray/air/_internal/device_manager/npu.py b/python/ray/air/_internal/device_manager/npu.py index 3a3c554da44f..0a40594e14f1 100644 --- a/python/ray/air/_internal/device_manager/npu.py +++ b/python/ray/air/_internal/device_manager/npu.py @@ -6,8 +6,8 @@ import ray import ray._private.ray_constants as ray_constants -from ray.air._internal.device_manager.torch_device_manager import TorchDeviceManager from ray._private.accelerators.npu import ASCEND_RT_VISIBLE_DEVICES_ENV_VAR +from ray.air._internal.device_manager.torch_device_manager import TorchDeviceManager def is_package_present(package_name: str) -> bool: diff --git a/python/ray/air/_internal/torch_utils.py b/python/ray/air/_internal/torch_utils.py index 2264e8c17e96..96fe7bd84c74 100644 --- a/python/ray/air/_internal/torch_utils.py +++ b/python/ray/air/_internal/torch_utils.py @@ -1,24 +1,23 @@ import warnings -from typing import Any, Dict, List, Optional, Union, Sequence +from typing import Any, Dict, List, Optional, Sequence, Union import numpy as np import pandas as pd -import torch import pyarrow +import torch +from ray._private.ray_constants import env_bool from ray.air._internal.device_manager import get_torch_device_manager_by_context from ray.air.util.data_batch_conversion import _unwrap_ndarray_object_type_if_needed from ray.data.collate_fn import ( - TensorBatchType, TensorBatchReturnType, - _is_tensor, - _is_tensor_sequence, + TensorBatchType, _is_nested_tensor_sequence, + _is_tensor, _is_tensor_mapping, + _is_tensor_sequence, _is_tensor_sequence_mapping, ) -from ray._private.ray_constants import env_bool - # Default non-blocking transfer for tensors. DEFAULT_TENSOR_NON_BLOCKING_TRANSFER = env_bool( @@ -385,8 +384,8 @@ def arrow_batch_to_tensors( A dictionary of column name to list of tensors. For non-chunked columns, the list will contain a single tensor. """ - from ray.data._internal.arrow_ops import transform_pyarrow from ray.data._internal.arrow_block import ArrowBlockAccessor + from ray.data._internal.arrow_ops import transform_pyarrow if combine_chunks: numpy_batch = ArrowBlockAccessor(batch).to_batch_format("numpy") diff --git a/python/ray/air/config.py b/python/ray/air/config.py index 727ceb5c8cfb..01c93e3c354c 100644 --- a/python/ray/air/config.py +++ b/python/ray/air/config.py @@ -1,7 +1,8 @@ import logging +import os +import warnings from collections import Counter, defaultdict from dataclasses import _MISSING_TYPE, dataclass, fields -import os from pathlib import Path from typing import ( TYPE_CHECKING, @@ -14,7 +15,6 @@ Tuple, Union, ) -import warnings import pyarrow.fs diff --git a/python/ray/air/tests/test_air_usage.py b/python/ray/air/tests/test_air_usage.py index 6a1d65b96ac3..bc6bbc194bd4 100644 --- a/python/ray/air/tests/test_air_usage.py +++ b/python/ray/air/tests/test_air_usage.py @@ -210,10 +210,10 @@ def test_tag_air_entrypoint(ray_start_4_cpus, mock_record, entrypoint, tuner, tr ) def test_tag_train_entrypoint(mock_record): """Test that Train v2 entrypoints are recorded correctly.""" - from ray.train.v2.torch.torch_trainer import TorchTrainer + from ray.train.v2.lightgbm.lightgbm_trainer import LightGBMTrainer from ray.train.v2.tensorflow.tensorflow_trainer import TensorflowTrainer + from ray.train.v2.torch.torch_trainer import TorchTrainer from ray.train.v2.xgboost.xgboost_trainer import XGBoostTrainer - from ray.train.v2.lightgbm.lightgbm_trainer import LightGBMTrainer trainer_classes = [ TorchTrainer, diff --git a/python/ray/air/tests/test_arrow.py b/python/ray/air/tests/test_arrow.py index 31d533155c3a..4c2ebc3099e9 100644 --- a/python/ray/air/tests/test_arrow.py +++ b/python/ray/air/tests/test_arrow.py @@ -9,10 +9,10 @@ from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.tensor_extensions.arrow import ( ArrowConversionError, + ArrowTensorArray, _convert_to_pyarrow_native_array, _infer_pyarrow_type, convert_to_pyarrow_array, - ArrowTensorArray, ) from ray.air.util.tensor_extensions.utils import create_ragged_ndarray from ray.data import DataContext diff --git a/python/ray/air/tests/test_integration_wandb.py b/python/ray/air/tests/test_integration_wandb.py index 04228162d2fd..05a64ee82d34 100644 --- a/python/ray/air/tests/test_integration_wandb.py +++ b/python/ray/air/tests/test_integration_wandb.py @@ -50,10 +50,10 @@ WANDB_POPULATE_RUN_LOCATION_HOOK, WANDB_PROJECT_ENV_VAR, WANDB_SETUP_API_KEY_HOOK, + RunDisabled, WandbLoggerCallback, _QueueItem, _WandbLoggingActor, - RunDisabled, setup_wandb, ) from ray.air.tests.mocked_wandb_integration import ( diff --git a/python/ray/air/util/object_extensions/arrow.py b/python/ray/air/util/object_extensions/arrow.py index b7e2e569c61b..47867e54f5a3 100644 --- a/python/ray/air/util/object_extensions/arrow.py +++ b/python/ray/air/util/object_extensions/arrow.py @@ -6,8 +6,8 @@ from packaging.version import parse as parse_version import ray.air.util.object_extensions.pandas -from ray._private.serialization import pickle_dumps from ray._private.arrow_utils import get_pyarrow_version +from ray._private.serialization import pickle_dumps from ray.util.annotations import PublicAPI MIN_PYARROW_VERSION_SCALAR_SUBCLASS = parse_version("9.0.0") diff --git a/python/ray/air/util/tensor_extensions/arrow.py b/python/ray/air/util/tensor_extensions/arrow.py index 0c1772b46d78..712b2af080c0 100644 --- a/python/ray/air/util/tensor_extensions/arrow.py +++ b/python/ray/air/util/tensor_extensions/arrow.py @@ -1,34 +1,32 @@ import abc -from datetime import datetime - import itertools import json import logging import sys +from datetime import datetime +from enum import Enum from typing import Any, Dict, Iterable, List, Optional, Sequence, Tuple, Union import numpy as np import pyarrow as pa from packaging.version import parse as parse_version -import ray.cloudpickle as cloudpickle -from enum import Enum +import ray.cloudpickle as cloudpickle from ray._private.arrow_utils import get_pyarrow_version +from ray._private.ray_constants import env_integer from ray.air.util.tensor_extensions.utils import ( + ArrayLike, _is_ndarray_variable_shaped_tensor, - create_ragged_ndarray, _should_convert_to_tensor, - ArrayLike, + create_ragged_ndarray, ) from ray.data._internal.numpy_support import ( - convert_to_numpy, _convert_datetime_to_np_datetime, + convert_to_numpy, ) from ray.util import log_once from ray.util.annotations import DeveloperAPI, PublicAPI from ray.util.common import INT32_MAX -from ray._private.ray_constants import env_integer - PYARROW_VERSION = get_pyarrow_version() # Minimum version of Arrow that supports subclassable ExtensionScalars. diff --git a/python/ray/air/util/tensor_extensions/utils.py b/python/ray/air/util/tensor_extensions/utils.py index 8468f721751e..142814285ffd 100644 --- a/python/ray/air/util/tensor_extensions/utils.py +++ b/python/ray/air/util/tensor_extensions/utils.py @@ -1,5 +1,5 @@ import warnings -from typing import TYPE_CHECKING, Any, Sequence, Union, List, Protocol +from typing import TYPE_CHECKING, Any, List, Protocol, Sequence, Union import numpy as np diff --git a/python/ray/air/util/torch_dist.py b/python/ray/air/util/torch_dist.py index acc7d78a47f8..c133d8133425 100644 --- a/python/ray/air/util/torch_dist.py +++ b/python/ray/air/util/torch_dist.py @@ -15,10 +15,10 @@ import torch.distributed as dist import ray +from ray._common.network_utils import build_address from ray.actor import ActorHandle from ray.air._internal.torch_utils import get_devices from ray.train._internal.utils import get_address_and_port -from ray._common.network_utils import build_address class TorchDistributedWorker(ABC): diff --git a/python/ray/autoscaler/_private/gcp/config.py b/python/ray/autoscaler/_private/gcp/config.py index e527e21ab556..2e646526cb34 100644 --- a/python/ray/autoscaler/_private/gcp/config.py +++ b/python/ray/autoscaler/_private/gcp/config.py @@ -13,8 +13,7 @@ from google.oauth2.credentials import Credentials as OAuthCredentials from googleapiclient import discovery, errors -from ray._private.accelerators import TPUAcceleratorManager -from ray._private.accelerators import tpu +from ray._private.accelerators import TPUAcceleratorManager, tpu from ray.autoscaler._private.gcp.node import MAX_POLLS, POLL_INTERVAL, GCPNodeType from ray.autoscaler._private.util import ( check_legacy_fields, diff --git a/python/ray/autoscaler/_private/gcp/node_provider.py b/python/ray/autoscaler/_private/gcp/node_provider.py index 2d7147a60619..56398433f624 100644 --- a/python/ray/autoscaler/_private/gcp/node_provider.py +++ b/python/ray/autoscaler/_private/gcp/node_provider.py @@ -18,8 +18,8 @@ # The logic has been abstracted away here to allow for different GCP resources # (API endpoints), which can differ widely, making it impossible to use # the same logic for everything. -from ray.autoscaler._private.gcp.node import GCPTPU # noqa from ray.autoscaler._private.gcp.node import ( + GCPTPU, # noqa GCPCompute, GCPNode, GCPNodeType, diff --git a/python/ray/autoscaler/_private/kuberay/node_provider.py b/python/ray/autoscaler/_private/kuberay/node_provider.py index b62b5ca78fa2..b3715f0dd9fa 100644 --- a/python/ray/autoscaler/_private/kuberay/node_provider.py +++ b/python/ray/autoscaler/_private/kuberay/node_provider.py @@ -8,6 +8,7 @@ import requests +from ray._common.network_utils import build_address from ray.autoscaler._private.constants import WORKER_LIVENESS_CHECK_KEY from ray.autoscaler._private.util import NodeID, NodeIP, NodeKind, NodeStatus, NodeType from ray.autoscaler.batching_node_provider import ( @@ -22,7 +23,6 @@ STATUS_UPDATE_FAILED, TAG_RAY_USER_NODE_TYPE, ) -from ray._common.network_utils import build_address # Key for KubeRay label that identifies a Ray pod as head or worker. KUBERAY_LABEL_KEY_KIND = "ray.io/node-type" diff --git a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py index dcc810073797..37b09db1f46a 100644 --- a/python/ray/autoscaler/_private/kuberay/run_autoscaler.py +++ b/python/ray/autoscaler/_private/kuberay/run_autoscaler.py @@ -4,15 +4,15 @@ import time import ray -from ray._private import ray_constants +from ray._common.network_utils import build_address from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, ) +from ray._common.utils import try_to_create_directory +from ray._private import ray_constants from ray._private.ray_logging import setup_component_logger from ray._private.services import get_node_ip_address -from ray._common.network_utils import build_address -from ray._common.utils import try_to_create_directory from ray._raylet import GcsClient from ray.autoscaler._private.kuberay.autoscaling_config import AutoscalingConfigProducer from ray.autoscaler._private.monitor import Monitor diff --git a/python/ray/autoscaler/_private/monitor.py b/python/ray/autoscaler/_private/monitor.py index d62886e3a669..55a922293fca 100644 --- a/python/ray/autoscaler/_private/monitor.py +++ b/python/ray/autoscaler/_private/monitor.py @@ -14,14 +14,15 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address, parse_address from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, ) +from ray._private import logging_utils from ray._private.event.event_logger import get_event_logger from ray._private.ray_logging import setup_component_logger from ray._raylet import GcsClient -from ray._common.network_utils import parse_address, build_address from ray.autoscaler._private.autoscaler import StandardAutoscaler from ray.autoscaler._private.commands import teardown_cluster from ray.autoscaler._private.constants import ( @@ -44,7 +45,6 @@ _internal_kv_initialized, _internal_kv_put, ) -from ray._private import logging_utils try: import prometheus_client diff --git a/python/ray/autoscaler/_private/spark/node_provider.py b/python/ray/autoscaler/_private/spark/node_provider.py index 9fbea1f525ab..9c59ba4ed9fd 100644 --- a/python/ray/autoscaler/_private/spark/node_provider.py +++ b/python/ray/autoscaler/_private/spark/node_provider.py @@ -6,6 +6,7 @@ import requests +from ray._common.network_utils import build_address from ray.autoscaler.node_launch_exception import NodeLaunchException from ray.autoscaler.node_provider import NodeProvider from ray.autoscaler.tags import ( @@ -18,7 +19,6 @@ TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE, ) -from ray._common.network_utils import build_address logger = logging.getLogger(__name__) diff --git a/python/ray/autoscaler/_private/util.py b/python/ray/autoscaler/_private/util.py index de5b9f506c3e..396dd409cdf4 100644 --- a/python/ray/autoscaler/_private/util.py +++ b/python/ray/autoscaler/_private/util.py @@ -13,8 +13,8 @@ from typing import Any, Dict, List, Optional, Tuple, Union import ray -from ray._common.utils import PLACEMENT_GROUP_BUNDLE_RESOURCE_NAME import ray._private.services as services +from ray._common.utils import PLACEMENT_GROUP_BUNDLE_RESOURCE_NAME from ray._private.utils import ( PLACEMENT_GROUP_INDEXED_BUNDLED_RESOURCE_PATTERN, PLACEMENT_GROUP_WILDCARD_RESOURCE_PATTERN, diff --git a/python/ray/autoscaler/local/coordinator_server.py b/python/ray/autoscaler/local/coordinator_server.py index 6ea69d71857b..7cca12645631 100644 --- a/python/ray/autoscaler/local/coordinator_server.py +++ b/python/ray/autoscaler/local/coordinator_server.py @@ -6,12 +6,12 @@ import argparse import json import logging -import threading import socket +import threading from http.server import HTTPServer, SimpleHTTPRequestHandler -from ray.autoscaler._private.local.node_provider import LocalNodeProvider from ray._common.network_utils import build_address +from ray.autoscaler._private.local.node_provider import LocalNodeProvider logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO) diff --git a/python/ray/autoscaler/sdk/sdk.py b/python/ray/autoscaler/sdk/sdk.py index 276e85892c0e..437538bbeb3b 100644 --- a/python/ray/autoscaler/sdk/sdk.py +++ b/python/ray/autoscaler/sdk/sdk.py @@ -8,8 +8,10 @@ from ray.autoscaler._private import commands from ray.autoscaler._private.cli_logger import cli_logger -from ray.autoscaler._private.event_system import CreateClusterEvent # noqa: F401 -from ray.autoscaler._private.event_system import global_event_system # noqa: F401 +from ray.autoscaler._private.event_system import ( + CreateClusterEvent, # noqa: F401 + global_event_system, # noqa: F401 +) from ray.util.annotations import DeveloperAPI diff --git a/python/ray/autoscaler/v2/autoscaler.py b/python/ray/autoscaler/v2/autoscaler.py index 82de748a1f5f..cdc8620bc2b7 100644 --- a/python/ray/autoscaler/v2/autoscaler.py +++ b/python/ray/autoscaler/v2/autoscaler.py @@ -1,6 +1,7 @@ import logging from queue import Queue from typing import List, Optional +from urllib.parse import urlsplit from ray._raylet import GcsClient from ray.autoscaler._private.providers import _get_node_provider @@ -39,7 +40,6 @@ from ray.autoscaler.v2.scheduler import ResourceDemandScheduler from ray.autoscaler.v2.sdk import get_cluster_resource_state from ray.core.generated.autoscaler_pb2 import AutoscalingState -from urllib.parse import urlsplit logger = logging.getLogger(__name__) diff --git a/python/ray/autoscaler/v2/instance_manager/config.py b/python/ray/autoscaler/v2/instance_manager/config.py index ef329f804e71..d94d157c86fa 100644 --- a/python/ray/autoscaler/v2/instance_manager/config.py +++ b/python/ray/autoscaler/v2/instance_manager/config.py @@ -8,8 +8,8 @@ import yaml -from ray._private.ray_constants import env_integer from ray._common.utils import binary_to_hex +from ray._private.ray_constants import env_integer from ray._raylet import GcsClient from ray.autoscaler._private.constants import ( AUTOSCALER_MAX_CONCURRENT_LAUNCHES, diff --git a/python/ray/autoscaler/v2/instance_manager/ray_installer.py b/python/ray/autoscaler/v2/instance_manager/ray_installer.py index 3daf5d3e0b71..e99b2b1492ca 100644 --- a/python/ray/autoscaler/v2/instance_manager/ray_installer.py +++ b/python/ray/autoscaler/v2/instance_manager/ray_installer.py @@ -2,9 +2,9 @@ import subprocess from ray.autoscaler._private.updater import ( - NodeUpdater, - TAG_RAY_NODE_STATUS, STATUS_UP_TO_DATE, + TAG_RAY_NODE_STATUS, + NodeUpdater, ) from ray.autoscaler._private.util import with_envs, with_head_node_ip from ray.autoscaler.node_provider import NodeProvider as NodeProviderV1 diff --git a/python/ray/autoscaler/v2/instance_manager/reconciler.py b/python/ray/autoscaler/v2/instance_manager/reconciler.py index f274854eca6a..b403803e577b 100644 --- a/python/ray/autoscaler/v2/instance_manager/reconciler.py +++ b/python/ray/autoscaler/v2/instance_manager/reconciler.py @@ -21,10 +21,10 @@ LaunchNodeError, TerminateNodeError, ) +from ray.autoscaler.v2.instance_manager.subscribers.ray_stopper import RayStopError from ray.autoscaler.v2.instance_manager.subscribers.threaded_ray_installer import ( RayInstallError, ) -from ray.autoscaler.v2.instance_manager.subscribers.ray_stopper import RayStopError from ray.autoscaler.v2.metrics_reporter import AutoscalerMetricsReporter from ray.autoscaler.v2.scheduler import IResourceScheduler, SchedulingRequest from ray.autoscaler.v2.schema import AutoscalerInstance, NodeType @@ -38,12 +38,10 @@ PendingInstance, PendingInstanceRequest, ) -from ray.core.generated.instance_manager_pb2 import GetInstanceManagerStateRequest -from ray.core.generated.instance_manager_pb2 import Instance as IMInstance from ray.core.generated.instance_manager_pb2 import ( + GetInstanceManagerStateRequest, + Instance as IMInstance, InstanceUpdateEvent as IMInstanceUpdateEvent, -) -from ray.core.generated.instance_manager_pb2 import ( NodeKind, StatusCode, UpdateInstanceManagerStateRequest, diff --git a/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py b/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py index d364ccea07e0..d525b1aeccaa 100644 --- a/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py +++ b/python/ray/autoscaler/v2/instance_manager/subscribers/threaded_ray_installer.py @@ -2,8 +2,8 @@ import logging import time from concurrent.futures import ThreadPoolExecutor -from typing import List from queue import Queue +from typing import List from ray.autoscaler.v2.instance_manager.instance_manager import ( InstanceUpdatedSubscriber, @@ -11,9 +11,9 @@ from ray.autoscaler.v2.instance_manager.instance_storage import InstanceStorage from ray.autoscaler.v2.instance_manager.ray_installer import RayInstaller from ray.core.generated.instance_manager_pb2 import ( - NodeKind, Instance, InstanceUpdateEvent, + NodeKind, ) logger = logging.getLogger(__name__) diff --git a/python/ray/autoscaler/v2/monitor.py b/python/ray/autoscaler/v2/monitor.py index e771d6e7e404..34e31e7ac649 100644 --- a/python/ray/autoscaler/v2/monitor.py +++ b/python/ray/autoscaler/v2/monitor.py @@ -13,16 +13,17 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address, parse_address from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, ) +from ray._common.usage.usage_lib import record_extra_usage_tag +from ray._private import logging_utils from ray._private.event.event_logger import get_event_logger from ray._private.ray_logging import setup_component_logger -from ray._common.usage.usage_lib import record_extra_usage_tag from ray._private.worker import SCRIPT_MODE from ray._raylet import GcsClient -from ray._common.network_utils import parse_address, build_address from ray.autoscaler._private.constants import ( AUTOSCALER_METRIC_PORT, AUTOSCALER_UPDATE_INTERVAL_S, @@ -39,7 +40,6 @@ from ray.core.generated.autoscaler_pb2 import AutoscalingState from ray.core.generated.event_pb2 import Event as RayEvent from ray.core.generated.usage_pb2 import TagKey -from ray._private import logging_utils try: import prometheus_client diff --git a/python/ray/autoscaler/v2/scheduler.py b/python/ray/autoscaler/v2/scheduler.py index 6c87dc4e85f5..6dbacd893619 100644 --- a/python/ray/autoscaler/v2/scheduler.py +++ b/python/ray/autoscaler/v2/scheduler.py @@ -20,13 +20,13 @@ from ray.autoscaler.v2.instance_manager.config import NodeTypeConfig from ray.autoscaler.v2.schema import AutoscalerInstance, NodeType from ray.autoscaler.v2.utils import ProtobufUtil, ResourceRequestUtil -from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.autoscaler_pb2 import ( ClusterResourceConstraint, GangResourceRequest, ResourceRequest, ResourceRequestByCount, ) +from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.instance_manager_pb2 import ( Instance, LaunchRequest, diff --git a/python/ray/autoscaler/v2/tests/test_e2e.py b/python/ray/autoscaler/v2/tests/test_e2e.py index 4283af09a091..afa5b67baa1c 100644 --- a/python/ray/autoscaler/v2/tests/test_e2e.py +++ b/python/ray/autoscaler/v2/tests/test_e2e.py @@ -7,10 +7,10 @@ import pytest import ray -from ray._common.test_utils import wait_for_condition from ray._common.constants import HEAD_NODE_RESOURCE_NAME -from ray._private.test_utils import run_string_as_driver_nonblocking +from ray._common.test_utils import wait_for_condition from ray._common.usage.usage_lib import get_extra_usage_tags_to_report +from ray._private.test_utils import run_string_as_driver_nonblocking from ray._raylet import GcsClient from ray.autoscaler.v2.sdk import get_cluster_status from ray.cluster_utils import AutoscalingCluster diff --git a/python/ray/autoscaler/v2/tests/test_scheduler.py b/python/ray/autoscaler/v2/tests/test_scheduler.py index 1f95f83df3b2..a1ca0a9f0944 100644 --- a/python/ray/autoscaler/v2/tests/test_scheduler.py +++ b/python/ray/autoscaler/v2/tests/test_scheduler.py @@ -22,7 +22,6 @@ from ray.autoscaler.v2.schema import AutoscalerInstance, NodeType from ray.autoscaler.v2.tests.util import MockEventLogger, make_autoscaler_instance from ray.autoscaler.v2.utils import ResourceRequestUtil -from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.autoscaler_pb2 import ( ClusterResourceConstraint, GangResourceRequest, @@ -30,6 +29,7 @@ NodeStatus, ResourceRequest, ) +from ray.core.generated.common_pb2 import LabelSelectorOperator from ray.core.generated.instance_manager_pb2 import ( Instance, NodeKind, diff --git a/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py b/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py index 79cd43092d36..12594562d678 100644 --- a/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py +++ b/python/ray/autoscaler/v2/tests/test_threaded_ray_installer.py @@ -2,8 +2,8 @@ import os import sys import unittest -from unittest.mock import patch from queue import Queue +from unittest.mock import patch import pytest # noqa diff --git a/python/ray/autoscaler/v2/utils.py b/python/ray/autoscaler/v2/utils.py index 8cf3dd13fc94..bca10ddd1786 100644 --- a/python/ray/autoscaler/v2/utils.py +++ b/python/ray/autoscaler/v2/utils.py @@ -39,13 +39,11 @@ NodeStatus, PlacementConstraint, ResourceRequest, -) -from ray.core.generated.autoscaler_pb2 import ( ResourceRequestByCount as ResourceRequestByCountProto, ) from ray.core.generated.common_pb2 import ( - LabelSelectorConstraint, LabelSelector, + LabelSelectorConstraint, ) from ray.experimental.internal_kv import internal_kv_get_gcs_client diff --git a/python/ray/client_builder.py b/python/ray/client_builder.py index 714a941699c3..48d7f4cd0718 100644 --- a/python/ray/client_builder.py +++ b/python/ray/client_builder.py @@ -15,8 +15,7 @@ RAY_RUNTIME_ENV_ENVIRONMENT_VARIABLE, ) from ray._private.utils import get_ray_client_dependency_error, split_address -from ray._private.worker import BaseContext -from ray._private.worker import init as ray_driver_init +from ray._private.worker import BaseContext, init as ray_driver_init from ray.job_config import JobConfig from ray.util.annotations import Deprecated, PublicAPI diff --git a/python/ray/dashboard/agent.py b/python/ray/dashboard/agent.py index 624efc5742bb..6b95ad4d1444 100644 --- a/python/ray/dashboard/agent.py +++ b/python/ray/dashboard/agent.py @@ -9,9 +9,9 @@ import ray._private.ray_constants as ray_constants import ray.dashboard.consts as dashboard_consts import ray.dashboard.utils as dashboard_utils +from ray._common.network_utils import build_address, is_localhost from ray._common.utils import get_or_create_event_loop from ray._private import logging_utils -from ray._common.network_utils import build_address, is_localhost from ray._private.process_watcher import create_check_raylet_task from ray._private.ray_constants import AGENT_GRPC_MAX_MESSAGE_LENGTH from ray._private.ray_logging import setup_component_logger diff --git a/python/ray/dashboard/dashboard.py b/python/ray/dashboard/dashboard.py index 921a6069c88e..f774e22300d5 100644 --- a/python/ray/dashboard/dashboard.py +++ b/python/ray/dashboard/dashboard.py @@ -9,13 +9,13 @@ import ray import ray._private.ray_constants as ray_constants -from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, - LOGGING_ROTATE_BACKUP_COUNT, -) import ray.dashboard.consts as dashboard_consts import ray.dashboard.head as dashboard_head import ray.dashboard.utils as dashboard_utils +from ray._common.ray_constants import ( + LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, +) from ray._common.utils import get_or_create_event_loop from ray._private import logging_utils from ray._private.ray_logging import setup_component_logger diff --git a/python/ray/dashboard/head.py b/python/ray/dashboard/head.py index 90469fd5c94d..94a8bb3cf380 100644 --- a/python/ray/dashboard/head.py +++ b/python/ray/dashboard/head.py @@ -9,10 +9,11 @@ import ray.dashboard.consts as dashboard_consts import ray.dashboard.utils as dashboard_utils import ray.experimental.internal_kv as internal_kv +from ray._common.network_utils import build_address +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray._private import ray_constants from ray._private.async_utils import enable_monitor_loop_lag from ray._private.ray_constants import env_integer -from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray._raylet import GcsClient from ray.dashboard.consts import ( AVAILABLE_COMPONENT_NAMES_FOR_METRICS, @@ -24,7 +25,6 @@ DashboardHeadModuleConfig, async_loop_forever, ) -from ray._common.network_utils import build_address import psutil diff --git a/python/ray/dashboard/http_server_agent.py b/python/ray/dashboard/http_server_agent.py index cc3e20d85b87..b9146066933f 100644 --- a/python/ray/dashboard/http_server_agent.py +++ b/python/ray/dashboard/http_server_agent.py @@ -6,8 +6,8 @@ from packaging.version import Version import ray.dashboard.optional_utils as dashboard_optional_utils -from ray._common.utils import get_or_create_event_loop from ray._common.network_utils import build_address, is_localhost +from ray._common.utils import get_or_create_event_loop from ray.dashboard.optional_deps import aiohttp, aiohttp_cors, hdrs logger = logging.getLogger(__name__) diff --git a/python/ray/dashboard/http_server_head.py b/python/ray/dashboard/http_server_head.py index ffac41f4d7d1..49f748309271 100644 --- a/python/ray/dashboard/http_server_head.py +++ b/python/ray/dashboard/http_server_head.py @@ -17,10 +17,9 @@ import ray.dashboard.timezone_utils as timezone_utils import ray.dashboard.utils as dashboard_utils from ray import ray_constants -from ray._common.utils import get_or_create_event_loop -from ray._common.network_utils import build_address +from ray._common.network_utils import build_address, parse_address from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag -from ray._common.network_utils import parse_address +from ray._common.utils import get_or_create_event_loop from ray.dashboard.dashboard_metrics import DashboardPrometheusMetrics from ray.dashboard.head import DashboardHeadModule diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index d7782436ac22..584a6f6375ec 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -1,15 +1,17 @@ import asyncio -import signal -import time -import os import json +import logging +import os import queue -from concurrent.futures import ThreadPoolExecutor +import signal import threading -import logging -from urllib3.util import Retry +import time +from concurrent.futures import ThreadPoolExecutor + from requests import Session from requests.adapters import HTTPAdapter +from urllib3.util import Retry + from ray._private.protobuf_compat import message_to_json try: @@ -19,14 +21,14 @@ prometheus_client = None import ray +import ray.dashboard.consts as dashboard_consts +import ray.dashboard.utils as dashboard_utils from ray._common.utils import get_or_create_event_loop from ray._private import ray_constants -import ray.dashboard.utils as dashboard_utils -import ray.dashboard.consts as dashboard_consts from ray.core.generated import ( + events_base_event_pb2, events_event_aggregator_service_pb2, events_event_aggregator_service_pb2_grpc, - events_base_event_pb2, ) logger = logging.getLogger(__name__) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 8ab41de85aeb..31b3ed26b6cf 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -1,62 +1,58 @@ -import sys -import json import base64 +import json +import sys from unittest.mock import MagicMock import pytest from google.protobuf.timestamp_pb2 import Timestamp -from ray.dashboard.tests.conftest import * # noqa - -from ray._private import ray_constants -from ray._private.utils import init_grpc_channel -from ray._private.test_utils import wait_for_condition -from ray._raylet import GcsClient import ray.dashboard.consts as dashboard_consts +from ray._private import ray_constants from ray._private.test_utils import ( find_free_port, + wait_for_condition, ) - -from ray.core.generated.events_event_aggregator_service_pb2_grpc import ( - EventAggregatorServiceStub, +from ray._private.utils import init_grpc_channel +from ray._raylet import GcsClient +from ray.core.generated.common_pb2 import ( + ErrorType, + FunctionDescriptor, + Language, + PythonFunctionDescriptor, + RayErrorInfo, + TaskStatus, + TaskType, +) +from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.core.generated.events_driver_job_definition_event_pb2 import ( + DriverJobDefinitionEvent, +) +from ray.core.generated.events_driver_job_execution_event_pb2 import ( + DriverJobExecutionEvent, ) from ray.core.generated.events_event_aggregator_service_pb2 import ( AddEventsRequest, RayEventsData, TaskEventsMetadata, ) -from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.core.generated.events_event_aggregator_service_pb2_grpc import ( + EventAggregatorServiceStub, +) from ray.core.generated.events_task_definition_event_pb2 import ( TaskDefinitionEvent, ) from ray.core.generated.events_task_execution_event_pb2 import ( TaskExecutionEvent, ) -from ray.core.generated.profile_events_pb2 import ProfileEvents, ProfileEventEntry from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents -from ray.core.generated.events_driver_job_definition_event_pb2 import ( - DriverJobDefinitionEvent, -) -from ray.core.generated.events_driver_job_execution_event_pb2 import ( - DriverJobExecutionEvent, -) +from ray.core.generated.profile_events_pb2 import ProfileEventEntry, ProfileEvents from ray.core.generated.runtime_environment_pb2 import ( + RuntimeEnvConfig, RuntimeEnvInfo, RuntimeEnvUris, - RuntimeEnvConfig, ) -from ray.core.generated.common_pb2 import ( - TaskType, - Language, - FunctionDescriptor, - PythonFunctionDescriptor, - TaskStatus, - ErrorType, - RayErrorInfo, -) - from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent - +from ray.dashboard.tests.conftest import * # noqa _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() _EVENT_AGGREGATOR_AGENT_TARGET_IP = "127.0.0.1" diff --git a/python/ray/dashboard/modules/event/event_head.py b/python/ray/dashboard/modules/event/event_head.py index 0a8a9712992e..b9e3d90eebba 100644 --- a/python/ray/dashboard/modules/event/event_head.py +++ b/python/ray/dashboard/modules/event/event_head.py @@ -13,9 +13,9 @@ import ray import ray.dashboard.optional_utils as dashboard_optional_utils import ray.dashboard.utils as dashboard_utils +from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import env_integer -from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag from ray.dashboard.consts import ( RAY_STATE_SERVER_MAX_HTTP_REQUEST, RAY_STATE_SERVER_MAX_HTTP_REQUEST_ALLOWED, diff --git a/python/ray/dashboard/modules/event/tests/test_event.py b/python/ray/dashboard/modules/event/tests/test_event.py index 87200781a9f5..afff1116de8d 100644 --- a/python/ray/dashboard/modules/event/tests/test_event.py +++ b/python/ray/dashboard/modules/event/tests/test_event.py @@ -14,10 +14,11 @@ import numpy as np import pytest -from ray._common.test_utils import wait_for_condition import requests import ray +from ray._common.test_utils import wait_for_condition +from ray._common.utils import binary_to_hex from ray._private.event.event_logger import ( filter_event_by_level, get_event_id, @@ -33,7 +34,6 @@ format_web_url, wait_until_server_available, ) -from ray._common.utils import binary_to_hex from ray.cluster_utils import AutoscalingCluster from ray.core.generated import ( event_pb2, diff --git a/python/ray/dashboard/modules/job/cli.py b/python/ray/dashboard/modules/job/cli.py index 37e93c6cc50b..f6219ad1cca9 100644 --- a/python/ray/dashboard/modules/job/cli.py +++ b/python/ray/dashboard/modules/job/cli.py @@ -8,10 +8,10 @@ import click -from ray._common.utils import load_class import ray._private.ray_constants as ray_constants from ray._common.utils import ( get_or_create_event_loop, + load_class, ) from ray._private.utils import ( parse_metadata_json, diff --git a/python/ray/dashboard/modules/job/job_head.py b/python/ray/dashboard/modules/job/job_head.py index 06bc1cfe37d1..e91fda0fd3aa 100644 --- a/python/ray/dashboard/modules/job/job_head.py +++ b/python/ray/dashboard/modules/job/job_head.py @@ -15,15 +15,15 @@ import ray from ray import NodeID -from ray._common.utils import get_or_create_event_loop, load_class +from ray._common.network_utils import build_address from ray._common.pydantic_compat import BaseModel, Extra, Field, validator +from ray._common.utils import get_or_create_event_loop, load_class from ray._private.ray_constants import KV_NAMESPACE_DASHBOARD from ray._private.runtime_env.packaging import ( package_exists, pin_runtime_env_uri, upload_package_to_gcs, ) -from ray._common.network_utils import build_address from ray.dashboard.consts import ( DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX, GCS_RPC_TIMEOUT_SECONDS, diff --git a/python/ray/dashboard/modules/job/job_manager.py b/python/ray/dashboard/modules/job/job_manager.py index 78aff4850168..142d8d521fb0 100644 --- a/python/ray/dashboard/modules/job/job_manager.py +++ b/python/ray/dashboard/modules/job/job_manager.py @@ -33,7 +33,7 @@ from ray.dashboard.modules.job.utils import get_head_node_id from ray.dashboard.utils import close_logger_file_descriptor from ray.exceptions import ActorDiedError, ActorUnschedulableError, RuntimeEnvSetupError -from ray.job_submission import JobStatus, JobErrorType +from ray.job_submission import JobErrorType, JobStatus from ray.runtime_env import RuntimeEnvConfig from ray.util.scheduling_strategies import ( NodeAffinitySchedulingStrategy, diff --git a/python/ray/dashboard/modules/job/job_supervisor.py b/python/ray/dashboard/modules/job/job_supervisor.py index 1ffaad752f9c..846fc19eefd6 100644 --- a/python/ray/dashboard/modules/job/job_supervisor.py +++ b/python/ray/dashboard/modules/job/job_supervisor.py @@ -11,6 +11,7 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address from ray._private.accelerators.nvidia_gpu import NOSET_CUDA_VISIBLE_DEVICES_ENV_VAR from ray._private.ray_logging.filters import CoreContextFilter from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter @@ -24,8 +25,7 @@ JobInfoStorageClient, ) from ray.dashboard.modules.job.job_log_storage_client import JobLogStorageClient -from ray.job_submission import JobStatus, JobErrorType -from ray._common.network_utils import build_address +from ray.job_submission import JobErrorType, JobStatus import psutil diff --git a/python/ray/dashboard/modules/job/tests/test_common.py b/python/ray/dashboard/modules/job/tests/test_common.py index 03ca01dc5282..036ad19386a3 100644 --- a/python/ray/dashboard/modules/job/tests/test_common.py +++ b/python/ray/dashboard/modules/job/tests/test_common.py @@ -5,9 +5,9 @@ from ray.core.generated.gcs_pb2 import JobsAPIInfo from ray.dashboard.modules.job.common import ( + JobErrorType, JobInfo, JobStatus, - JobErrorType, JobSubmitRequest, http_uri_components_to_uri, uri_to_http_components, diff --git a/python/ray/dashboard/modules/job/tests/test_component_activities.py b/python/ray/dashboard/modules/job/tests/test_component_activities.py index c0bbabca2086..9aac1651b116 100644 --- a/python/ray/dashboard/modules/job/tests/test_component_activities.py +++ b/python/ray/dashboard/modules/job/tests/test_component_activities.py @@ -5,9 +5,9 @@ import jsonschema import pytest -from ray._common.test_utils import wait_for_condition import requests +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( format_web_url, run_string_as_driver, diff --git a/python/ray/dashboard/modules/job/tests/test_http_job_server.py b/python/ray/dashboard/modules/job/tests/test_http_job_server.py index b66df1178bfa..84d3d09d319f 100644 --- a/python/ray/dashboard/modules/job/tests/test_http_job_server.py +++ b/python/ray/dashboard/modules/job/tests/test_http_job_server.py @@ -11,11 +11,11 @@ from unittest.mock import patch import pytest -from ray._common.test_utils import wait_for_condition import requests import yaml import ray +from ray._common.test_utils import wait_for_condition from ray._private.runtime_env.packaging import ( create_package, download_and_unpack_package, diff --git a/python/ray/dashboard/modules/job/tests/test_job_agent.py b/python/ray/dashboard/modules/job/tests/test_job_agent.py index 73229cc261a1..3a1c012d7030 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_agent.py +++ b/python/ray/dashboard/modules/job/tests/test_job_agent.py @@ -9,11 +9,12 @@ import pytest import pytest_asyncio -from ray._common.test_utils import async_wait_for_condition, wait_for_condition import requests import yaml import ray +from ray._common.network_utils import build_address +from ray._common.test_utils import async_wait_for_condition, wait_for_condition from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import DEFAULT_DASHBOARD_AGENT_LISTEN_PORT from ray._private.runtime_env.py_modules import upload_py_modules_if_needed @@ -25,7 +26,6 @@ run_string_as_driver_nonblocking, wait_until_server_available, ) -from ray._common.network_utils import build_address from ray.dashboard.modules.job.common import ( JOB_ACTOR_NAME_TEMPLATE, SUPERVISOR_ACTOR_RAY_NAMESPACE, diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index fb13cbb53df9..e106ef8cf0a2 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -11,17 +11,18 @@ import pytest import ray -from ray._common.test_utils import SignalActor, wait_for_condition +from ray._common.network_utils import build_address +from ray._common.test_utils import ( + SignalActor, + async_wait_for_condition, + wait_for_condition, +) from ray._private.ray_constants import ( DEFAULT_DASHBOARD_AGENT_LISTEN_PORT, KV_HEAD_NODE_ID_KEY, KV_NAMESPACE_JOB, RAY_ADDRESS_ENVIRONMENT_VARIABLE, ) -from ray._common.network_utils import build_address -from ray._common.test_utils import ( - async_wait_for_condition, -) from ray.dashboard.consts import ( RAY_JOB_ALLOW_DRIVER_ON_WORKER_NODES_ENV_VAR, RAY_JOB_START_TIMEOUT_SECONDS_ENV_VAR, @@ -40,7 +41,7 @@ create_ray_cluster, ) from ray.exceptions import RpcError -from ray.job_submission import JobStatus, JobErrorType +from ray.job_submission import JobErrorType, JobStatus from ray.tests.conftest import call_ray_start # noqa: F401 from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # noqa: F401 from ray.util.state import list_tasks diff --git a/python/ray/dashboard/modules/job/tests/test_sdk.py b/python/ray/dashboard/modules/job/tests/test_sdk.py index f3c370b22b06..fdbffad0654b 100644 --- a/python/ray/dashboard/modules/job/tests/test_sdk.py +++ b/python/ray/dashboard/modules/job/tests/test_sdk.py @@ -8,8 +8,8 @@ import pytest -from ray._common.test_utils import wait_for_condition import ray.experimental.internal_kv as kv +from ray._common.test_utils import wait_for_condition from ray._private.ray_constants import ( KV_NAMESPACE_DASHBOARD, ) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 5ae50ac361ee..10cb946ae41b 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -3,8 +3,8 @@ from ray.dashboard.modules.metrics.dashboards.common import ( DashboardConfig, Panel, - Target, Row, + Target, ) # When adding a new panels for an OpRuntimeMetric, follow this format: diff --git a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py index f6f88729f7ed..d8f0be9a5f1d 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/train_dashboard_panels.py @@ -2,11 +2,10 @@ from ray.dashboard.modules.metrics.dashboards.common import ( DashboardConfig, Panel, - Target, Row, + Target, ) - # Ray Train Metrics (Controller) CONTROLLER_STATE_PANEL = Panel( id=1, diff --git a/python/ray/dashboard/modules/node/tests/test_node.py b/python/ray/dashboard/modules/node/tests/test_node.py index 3016d65491d0..df4f980f4125 100644 --- a/python/ray/dashboard/modules/node/tests/test_node.py +++ b/python/ray/dashboard/modules/node/tests/test_node.py @@ -8,10 +8,10 @@ from datetime import datetime, timedelta import pytest -from ray._common.test_utils import wait_for_condition import requests import ray +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( format_web_url, wait_until_server_available, diff --git a/python/ray/dashboard/modules/reporter/gpu_providers.py b/python/ray/dashboard/modules/reporter/gpu_providers.py index 431bc9f10beb..d26ea4597fa6 100644 --- a/python/ray/dashboard/modules/reporter/gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/gpu_providers.py @@ -8,8 +8,8 @@ import enum import logging import subprocess -from typing import Dict, List, Optional, Union, TypedDict from collections import defaultdict +from typing import Dict, List, Optional, TypedDict, Union from ray._private.ray_constants import RAY_METRIC_ENABLE_GPU_NVSMI diff --git a/python/ray/dashboard/modules/reporter/healthz_agent.py b/python/ray/dashboard/modules/reporter/healthz_agent.py index 09581852404d..cff4edaf33d1 100644 --- a/python/ray/dashboard/modules/reporter/healthz_agent.py +++ b/python/ray/dashboard/modules/reporter/healthz_agent.py @@ -3,8 +3,8 @@ import ray.dashboard.optional_utils as optional_utils import ray.dashboard.utils as dashboard_utils import ray.exceptions -from ray.dashboard.modules.reporter.utils import HealthChecker from ray._raylet import NodeID +from ray.dashboard.modules.reporter.utils import HealthChecker routes = optional_utils.DashboardAgentRouteTable diff --git a/python/ray/dashboard/modules/reporter/reporter_agent.py b/python/ray/dashboard/modules/reporter/reporter_agent.py index 8430bff607b6..663a897794e1 100644 --- a/python/ray/dashboard/modules/reporter/reporter_agent.py +++ b/python/ray/dashboard/modules/reporter/reporter_agent.py @@ -3,7 +3,6 @@ import json import logging import os -import requests import socket import sys import traceback @@ -11,32 +10,26 @@ from concurrent.futures import ThreadPoolExecutor from typing import List, Optional, Tuple +import requests +from grpc.aio import ServicerContext from opencensus.stats import stats as stats_module -from prometheus_client.core import REGISTRY -from prometheus_client.parser import text_string_to_metric_families from opentelemetry.proto.collector.metrics.v1 import ( metrics_service_pb2, metrics_service_pb2_grpc, ) from opentelemetry.proto.metrics.v1.metrics_pb2 import Metric -from grpc.aio import ServicerContext - +from prometheus_client.core import REGISTRY +from prometheus_client.parser import text_string_to_metric_families import ray import ray._private.prometheus_exporter as prometheus_exporter import ray.dashboard.modules.reporter.reporter_consts as reporter_consts import ray.dashboard.utils as dashboard_utils +from ray._common.network_utils import parse_address from ray._common.utils import ( get_or_create_event_loop, get_user_temp_dir, ) -from ray._common.network_utils import parse_address -from ray._private.utils import get_system_memory -from ray.dashboard.modules.reporter.gpu_providers import ( - GpuMetricProvider, - GpuUtilizationInfo, - TpuUtilizationInfo, -) from ray._private import utils from ray._private.metrics_agent import Gauge, MetricsAgent, Record from ray._private.ray_constants import ( @@ -47,6 +40,7 @@ from ray._private.telemetry.open_telemetry_metric_recorder import ( OpenTelemetryMetricRecorder, ) +from ray._private.utils import get_system_memory from ray._raylet import GCS_PID_KEY, WorkerID from ray.core.generated import reporter_pb2, reporter_pb2_grpc from ray.dashboard import k8s_utils @@ -56,10 +50,15 @@ COMPONENT_METRICS_TAG_KEYS, GCS_RPC_TIMEOUT_SECONDS, GPU_TAG_KEYS, - TPU_TAG_KEYS, NODE_TAG_KEYS, + TPU_TAG_KEYS, ) from ray.dashboard.modules.reporter.gpu_profile_manager import GpuProfilingManager +from ray.dashboard.modules.reporter.gpu_providers import ( + GpuMetricProvider, + GpuUtilizationInfo, + TpuUtilizationInfo, +) from ray.dashboard.modules.reporter.profile_manager import ( CpuProfilingManager, MemoryProfilingManager, diff --git a/python/ray/dashboard/modules/reporter/reporter_head.py b/python/ray/dashboard/modules/reporter/reporter_head.py index bbcaef0a863c..8971991c4dea 100644 --- a/python/ray/dashboard/modules/reporter/reporter_head.py +++ b/python/ray/dashboard/modules/reporter/reporter_head.py @@ -12,8 +12,9 @@ import ray.dashboard.optional_utils as dashboard_optional_utils import ray.dashboard.utils as dashboard_utils from ray import ActorID, NodeID -from ray._private.metrics_agent import PrometheusServiceDiscoveryWriter from ray._common.network_utils import build_address +from ray._common.usage.usage_constants import CLUSTER_METADATA_KEY +from ray._private.metrics_agent import PrometheusServiceDiscoveryWriter from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS, @@ -23,7 +24,6 @@ KV_NAMESPACE_DASHBOARD, env_integer, ) -from ray._common.usage.usage_constants import CLUSTER_METADATA_KEY from ray._private.utils import init_grpc_channel from ray.autoscaler._private.commands import debug_status from ray.core.generated import reporter_pb2, reporter_pb2_grpc diff --git a/python/ray/dashboard/modules/reporter/tests/test_actors.py b/python/ray/dashboard/modules/reporter/tests/test_actors.py index 763c66d866b4..ea1693430da0 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_actors.py +++ b/python/ray/dashboard/modules/reporter/tests/test_actors.py @@ -3,15 +3,16 @@ import sys import time -import psutil import pytest import requests import ray -from ray._private.test_utils import format_web_url, wait_until_server_available -from ray.dashboard.tests.conftest import * # noqa from ray._common.test_utils import wait_for_condition from ray._private.state_api_test_utils import _is_actor_task_running +from ray._private.test_utils import format_web_url, wait_until_server_available +from ray.dashboard.tests.conftest import * # noqa + +import psutil logger = logging.getLogger(__name__) diff --git a/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py index a49e97d421ab..516be688a746 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/tests/test_gpu_providers.py @@ -4,14 +4,14 @@ from unittest.mock import Mock, patch from ray.dashboard.modules.reporter.gpu_providers import ( + MB, + AmdGpuProvider, + GpuMetricProvider, GpuProvider, GpuProviderType, + GpuUtilizationInfo, NvidiaGpuProvider, - AmdGpuProvider, - GpuMetricProvider, ProcessGPUInfo, - GpuUtilizationInfo, - MB, ) diff --git a/python/ray/dashboard/modules/reporter/tests/test_healthz.py b/python/ray/dashboard/modules/reporter/tests/test_healthz.py index fd613e0d59e1..aed2c9515ab3 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_healthz.py +++ b/python/ray/dashboard/modules/reporter/tests/test_healthz.py @@ -1,10 +1,10 @@ import sys import pytest -from ray._common.test_utils import wait_for_condition import requests import ray._private.ray_constants as ray_constants +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import find_free_port from ray.tests.conftest import * # noqa: F401 F403 diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 658b23dfa9ee..8fbc7218d51a 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -9,22 +9,22 @@ import numpy as np import pytest -from ray._common.test_utils import wait_for_condition import requests from google.protobuf import text_format import ray import ray._common.usage.usage_lib as ray_usage_lib +from ray._common.network_utils import build_address +from ray._common.test_utils import wait_for_condition from ray._private import ray_constants from ray._private.metrics_agent import fix_grpc_metric -from ray._common.network_utils import build_address from ray._private.test_utils import ( fetch_prometheus, format_web_url, wait_until_server_available, ) from ray.core.generated.metrics_pb2 import Metric -from ray.dashboard.modules.reporter.gpu_providers import NvidiaGpuProvider, MB +from ray.dashboard.modules.reporter.gpu_providers import MB, NvidiaGpuProvider from ray.dashboard.modules.reporter.reporter_agent import ( ReporterAgent, TpuUtilizationInfo, diff --git a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py index f0d31bdf3618..ac5f7e7a7998 100644 --- a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py +++ b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py @@ -6,9 +6,9 @@ from typing import Dict import pytest -from ray._common.test_utils import wait_for_condition import requests +from ray._common.test_utils import wait_for_condition from ray.serve._private.common import ( DeploymentStatus, DeploymentStatusTrigger, diff --git a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py index 17e25c6c5b52..a21cad86ad32 100644 --- a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py +++ b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard_2.py @@ -7,12 +7,12 @@ import grpc import pytest -from ray._common.test_utils import wait_for_condition import requests import ray import ray._private.ray_constants as ray_constants from ray import serve +from ray._common.test_utils import wait_for_condition from ray._private.test_utils import generate_system_config_map from ray.serve.generated import serve_pb2, serve_pb2_grpc from ray.serve.schema import HTTPOptionsSchema, ServeInstanceDetails diff --git a/python/ray/dashboard/modules/state/state_head.py b/python/ray/dashboard/modules/state/state_head.py index 7ef52b3a7cdf..4fa2755d5839 100644 --- a/python/ray/dashboard/modules/state/state_head.py +++ b/python/ray/dashboard/modules/state/state_head.py @@ -10,8 +10,8 @@ import ray from ray import ActorID -from ray._private.ray_constants import env_integer from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag +from ray._private.ray_constants import env_integer from ray.core.generated.gcs_pb2 import ActorTableData from ray.dashboard.consts import ( RAY_STATE_SERVER_MAX_HTTP_REQUEST, diff --git a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py index 0cecf0fba77a..91c500fb1f6f 100644 --- a/python/ray/dashboard/modules/usage_stats/usage_stats_head.py +++ b/python/ray/dashboard/modules/usage_stats/usage_stats_head.py @@ -9,9 +9,9 @@ import ray import ray._common.usage.usage_lib as ray_usage_lib import ray.dashboard.utils as dashboard_utils +from ray._common.network_utils import build_address from ray._common.utils import get_or_create_event_loop from ray.dashboard.utils import async_loop_forever -from ray._common.network_utils import build_address logger = logging.getLogger(__name__) diff --git a/python/ray/dashboard/subprocesses/tests/test_e2e.py b/python/ray/dashboard/subprocesses/tests/test_e2e.py index 05d3cd0a39cb..1f1567f70320 100644 --- a/python/ray/dashboard/subprocesses/tests/test_e2e.py +++ b/python/ray/dashboard/subprocesses/tests/test_e2e.py @@ -6,14 +6,13 @@ import pytest -from ray._common.test_utils import wait_for_condition import ray._private.ray_constants as ray_constants +import ray.dashboard.consts as dashboard_consts from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, ) -import ray.dashboard.consts as dashboard_consts -from ray._common.test_utils import async_wait_for_condition +from ray._common.test_utils import async_wait_for_condition, wait_for_condition from ray.dashboard.optional_deps import aiohttp from ray.dashboard.subprocesses.handle import SubprocessModuleHandle from ray.dashboard.subprocesses.module import SubprocessModule, SubprocessModuleConfig diff --git a/python/ray/dashboard/tests/test_dashboard.py b/python/ray/dashboard/tests/test_dashboard.py index 1f7036651465..3219606b96bc 100644 --- a/python/ray/dashboard/tests/test_dashboard.py +++ b/python/ray/dashboard/tests/test_dashboard.py @@ -14,23 +14,23 @@ from urllib.parse import quote_plus import pytest -from ray._common.test_utils import wait_for_condition import requests from click.testing import CliRunner from requests.exceptions import ConnectionError, HTTPError import ray +import ray._private.ray_constants as ray_constants import ray.dashboard.consts as dashboard_consts import ray.dashboard.modules import ray.dashboard.utils as dashboard_utils import ray.scripts.scripts as scripts -from ray._common.utils import get_or_create_event_loop -import ray._private.ray_constants as ray_constants +from ray._common.network_utils import build_address, parse_address from ray._common.ray_constants import ( - LOGGING_ROTATE_BYTES, LOGGING_ROTATE_BACKUP_COUNT, + LOGGING_ROTATE_BYTES, ) -from ray._common.network_utils import build_address, parse_address +from ray._common.test_utils import wait_for_condition +from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import ( DEBUG_AUTOSCALING_ERROR, DEBUG_AUTOSCALING_STATUS_LEGACY, diff --git a/python/ray/dashboard/utils.py b/python/ray/dashboard/utils.py index 73cfcd298ec8..4cb60681abeb 100644 --- a/python/ray/dashboard/utils.py +++ b/python/ray/dashboard/utils.py @@ -26,9 +26,9 @@ import ray._private.ray_constants as ray_constants import ray._private.services as services import ray.experimental.internal_kv as internal_kv +from ray._common.network_utils import parse_address from ray._common.utils import get_or_create_event_loop from ray._private.gcs_utils import GcsChannel -from ray._common.network_utils import parse_address from ray._private.utils import ( get_dashboard_dependency_error, split_address, diff --git a/python/ray/exceptions.py b/python/ray/exceptions.py index f628ed6549bd..c1c96ad00e1c 100644 --- a/python/ray/exceptions.py +++ b/python/ray/exceptions.py @@ -19,7 +19,6 @@ ) from ray.util.annotations import DeveloperAPI, PublicAPI - logger = logging.getLogger(__name__) diff --git a/python/ray/experimental/__init__.py b/python/ray/experimental/__init__.py index c6c5403a4ea0..37cb09a1513b 100644 --- a/python/ray/experimental/__init__.py +++ b/python/ray/experimental/__init__.py @@ -1,6 +1,6 @@ from ray.experimental.dynamic_resources import set_resource -from ray.experimental.locations import get_local_object_locations, get_object_locations from ray.experimental.gpu_object_manager import GPUObjectManager, wait_tensor_freed +from ray.experimental.locations import get_local_object_locations, get_object_locations __all__ = [ "get_object_locations", diff --git a/python/ray/experimental/channel/accelerator_context.py b/python/ray/experimental/channel/accelerator_context.py index 9acc1ad67d33..f4aa622af2b5 100644 --- a/python/ray/experimental/channel/accelerator_context.py +++ b/python/ray/experimental/channel/accelerator_context.py @@ -1,10 +1,11 @@ -import threading import importlib -import ray -from typing import TYPE_CHECKING, Optional, Type, ContextManager, List +import threading from contextlib import nullcontext -from ray.experimental.channel.communicator import Communicator +from typing import TYPE_CHECKING, ContextManager, List, Optional, Type + +import ray from ray._private.accelerators import get_accelerator_manager_for_resource +from ray.experimental.channel.communicator import Communicator if TYPE_CHECKING: import torch diff --git a/python/ray/experimental/channel/common.py b/python/ray/experimental/channel/common.py index 8de5f5642312..0f1b916a7224 100644 --- a/python/ray/experimental/channel/common.py +++ b/python/ray/experimental/channel/common.py @@ -18,9 +18,9 @@ import ray import ray.exceptions +from ray.experimental.channel.accelerator_context import AcceleratorContext from ray.experimental.channel.communicator import Communicator from ray.experimental.channel.communicator_handle import CommunicatorHandle -from ray.experimental.channel.accelerator_context import AcceleratorContext from ray.experimental.channel.serialization_context import _SerializationContext from ray.util.annotations import DeveloperAPI, PublicAPI diff --git a/python/ray/experimental/channel/communicator_handle.py b/python/ray/experimental/channel/communicator_handle.py index 26dd000ad98c..c6d8865bfc44 100644 --- a/python/ray/experimental/channel/communicator_handle.py +++ b/python/ray/experimental/channel/communicator_handle.py @@ -1,4 +1,5 @@ from typing import List + import ray diff --git a/python/ray/experimental/channel/nccl_group.py b/python/ray/experimental/channel/nccl_group.py index f81c8c4bcadb..64b640818833 100644 --- a/python/ray/experimental/channel/nccl_group.py +++ b/python/ray/experimental/channel/nccl_group.py @@ -4,9 +4,9 @@ import ray from ray.exceptions import RayChannelError +from ray.experimental.channel.accelerator_context import AcceleratorContext from ray.experimental.channel.communicator import Communicator, TorchTensorAllocator from ray.experimental.util.types import ReduceOp -from ray.experimental.channel.accelerator_context import AcceleratorContext if TYPE_CHECKING: import torch diff --git a/python/ray/experimental/channel/serialization_context.py b/python/ray/experimental/channel/serialization_context.py index d06a2d9e098b..548d36301f6b 100644 --- a/python/ray/experimental/channel/serialization_context.py +++ b/python/ray/experimental/channel/serialization_context.py @@ -174,8 +174,8 @@ def deserialize_from_numpy_or_scalar( tensor_device_type: str, target_device: Device, ): - import torch import numpy as np + import torch if target_device == Device.DEFAULT: target_device_type = tensor_device_type diff --git a/python/ray/experimental/channel/torch_tensor_accelerator_channel.py b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py index ae1cb3772b6c..08149406951a 100644 --- a/python/ray/experimental/channel/torch_tensor_accelerator_channel.py +++ b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py @@ -3,24 +3,24 @@ import uuid from dataclasses import dataclass from types import ModuleType -from typing import TYPE_CHECKING, Any, List, Optional, Tuple, Union, Type +from typing import TYPE_CHECKING, Any, List, Optional, Tuple, Type, Union import ray import ray.util.serialization from ray.experimental.channel import ChannelContext, utils +from ray.experimental.channel.accelerator_context import ( + AcceleratorContext, + is_accelerator_context_registered, + register_accelerator_context, +) from ray.experimental.channel.common import ChannelInterface from ray.experimental.channel.communicator import Communicator +from ray.experimental.channel.communicator_handle import CommunicatorHandle from ray.experimental.channel.cpu_communicator import CPUCommunicator from ray.experimental.channel.intra_process_channel import IntraProcessChannel -from ray.experimental.channel.communicator_handle import CommunicatorHandle from ray.experimental.channel.shared_memory_channel import SharedMemoryType from ray.experimental.channel.torch_tensor_type import TorchTensorType from ray.util.annotations import DeveloperAPI -from ray.experimental.channel.accelerator_context import ( - AcceleratorContext, - register_accelerator_context, - is_accelerator_context_registered, -) if TYPE_CHECKING: import torch diff --git a/python/ray/experimental/collective/__init__.py b/python/ray/experimental/collective/__init__.py index 8a526e691684..42289cee1653 100644 --- a/python/ray/experimental/collective/__init__.py +++ b/python/ray/experimental/collective/__init__.py @@ -1,17 +1,16 @@ +from ray.experimental.collective.collective import ( + create_collective_group, + destroy_all_collective_groups, + destroy_collective_group, + get_collective_groups, +) from ray.experimental.collective.operations import ( allgather, allreduce, reducescatter, ) -from ray.experimental.collective.collective import ( - get_collective_groups, - create_collective_group, - destroy_collective_group, - destroy_all_collective_groups, -) from ray.experimental.collective.util import get_tensor_transport_manager - __all__ = [ "allgather", "allreduce", diff --git a/python/ray/experimental/collective/collective.py b/python/ray/experimental/collective/collective.py index b2b05a931d39..db60fd500dab 100644 --- a/python/ray/experimental/collective/collective.py +++ b/python/ray/experimental/collective/collective.py @@ -1,17 +1,16 @@ -from typing import Dict, List, Optional, Union import threading import uuid +from typing import Dict, List, Optional, Union import ray +import ray.experimental.internal_kv as internal_kv from ray.experimental.collective.communicator import CommunicatorHandle from ray.experimental.collective.util import get_address_and_port -import ray.experimental.internal_kv as internal_kv -from ray.util.collective.types import Backend +from ray.util.annotations import PublicAPI from ray.util.collective.collective_group.torch_gloo_collective_group import ( get_master_address_metadata_key, ) -from ray.util.annotations import PublicAPI - +from ray.util.collective.types import Backend _remote_communicator_manager: "Optional[RemoteCommunicatorManager]" = None _remote_communicator_manager_lock = threading.Lock() diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 1c0f84e05511..33155886f071 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -1,15 +1,14 @@ -from typing import Optional, List, TYPE_CHECKING +from typing import TYPE_CHECKING, List, Optional import ray -from ray.util.collective.types import Backend from ray.experimental.collective.tensor_transport_manager import ( - TensorTransportManager, TensorTransportEnum, + TensorTransportManager, ) - from ray.util.collective.types import ( - CollectiveTransportMetadata, + Backend, CollectiveCommunicatorMetadata, + CollectiveTransportMetadata, ) if TYPE_CHECKING: diff --git a/python/ray/experimental/collective/communicator.py b/python/ray/experimental/collective/communicator.py index ba4aaecb87ae..2379bf220389 100644 --- a/python/ray/experimental/collective/communicator.py +++ b/python/ray/experimental/collective/communicator.py @@ -1,5 +1,5 @@ -from typing import List from dataclasses import dataclass +from typing import List import ray from ray.util.collective.types import Backend diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index b9938ccb8507..2046f55ac9eb 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -1,16 +1,16 @@ -from typing import Optional, List, TYPE_CHECKING +from typing import TYPE_CHECKING, List, Optional import ray -from ray.util.collective.types import Backend from ray.experimental.collective.tensor_transport_manager import ( - TensorTransportManager, TensorTransportEnum, + TensorTransportManager, ) from ray.util.collective.collective import get_group_handle from ray.util.collective.types import ( NIXL_GROUP_NAME, - NixlTransportMetadata, + Backend, NixlCommunicatorMetadata, + NixlTransportMetadata, ) if TYPE_CHECKING: @@ -120,8 +120,8 @@ def recv_multiple_tensors( tensor_transport_metadata: NixlTransportMetadata, communicator_metadata: NixlCommunicatorMetadata, ): - from ray.util.collective.collective import get_group_handle from ray.util.collective import types + from ray.util.collective.collective import get_group_handle if tensors: g = get_group_handle(communicator_metadata.communicator_name) diff --git a/python/ray/experimental/collective/operations.py b/python/ray/experimental/collective/operations.py index 31edbcb9eb28..aa8ba37ecc1f 100644 --- a/python/ray/experimental/collective/operations.py +++ b/python/ray/experimental/collective/operations.py @@ -6,14 +6,14 @@ from ray.dag.constants import ( BIND_INDEX_KEY, COLLECTIVE_OPERATION_KEY, - PARENT_CLASS_NODE_KEY, IS_CLASS_METHOD_OUTPUT_KEY, + PARENT_CLASS_NODE_KEY, ) from ray.experimental.channel.torch_tensor_type import Communicator, TorchTensorType from ray.experimental.util.types import ( - ReduceOp, AllGatherOp, AllReduceOp, + ReduceOp, ReduceScatterOp, _CollectiveOp, ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 5daf604f640f..8a8b29dae316 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -1,10 +1,13 @@ from abc import ABC, abstractmethod -from typing import List, Optional, TYPE_CHECKING -from ray.util.collective.types import TensorTransportMetadata, CommunicatorMetadata -from ray.util.collective.types import Backend -from ray._private.custom_types import TensorTransportEnum +from typing import TYPE_CHECKING, List, Optional import ray +from ray._private.custom_types import TensorTransportEnum +from ray.util.collective.types import ( + Backend, + CommunicatorMetadata, + TensorTransportMetadata, +) if TYPE_CHECKING: import torch diff --git a/python/ray/experimental/collective/util.py b/python/ray/experimental/collective/util.py index 3539e5780766..5b09697247f3 100644 --- a/python/ray/experimental/collective/util.py +++ b/python/ray/experimental/collective/util.py @@ -1,15 +1,14 @@ -from typing import Tuple, TYPE_CHECKING -from contextlib import closing import socket +from contextlib import closing +from typing import TYPE_CHECKING, Tuple import ray - -from ray.util.collective.types import Backend -from ray.experimental.collective.tensor_transport_manager import TensorTransportManager -from ray.experimental.collective.nixl_tensor_transport import NixlTensorTransport from ray.experimental.collective.collective_tensor_transport import ( CollectiveTensorTransport, ) +from ray.experimental.collective.nixl_tensor_transport import NixlTensorTransport +from ray.experimental.collective.tensor_transport_manager import TensorTransportManager +from ray.util.collective.types import Backend if TYPE_CHECKING: import torch diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 87d089880a98..f0a851386895 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -1,18 +1,19 @@ -import warnings -from typing import TYPE_CHECKING, Any, Dict, NamedTuple, Optional, Tuple, List, Set import threading +import warnings +from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional, Set, Tuple import ray +from ray._private import ray_constants from ray._private.custom_types import TensorTransportEnum from ray._raylet import ObjectRef -from ray._private import ray_constants if TYPE_CHECKING: + import torch + from ray.experimental.gpu_object_manager.gpu_object_store import ( GPUObjectStore, ) from ray.util.collective.types import TensorTransportMetadata - import torch # GPUObjectMeta is a named tuple containing the source actor, tensor transport # backend, tensor metadata, and other information that needs to be recorded. @@ -110,10 +111,10 @@ def add_gpu_object_ref( src_actor: The actor that executes the task and that creates the GPU object. tensor_transport: The tensor transport protocol to use for the GPU object. """ + from ray.experimental.collective import get_tensor_transport_manager from ray.experimental.gpu_object_manager.gpu_object_store import ( _tensor_transport_to_collective_backend, ) - from ray.experimental.collective import get_tensor_transport_manager tensor_transport_backend = _tensor_transport_to_collective_backend( tensor_transport diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 7f6309048d8b..d526a8b4ff6f 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -1,19 +1,18 @@ -from dataclasses import dataclass -from typing import Dict, List, Optional, Set import threading from collections import defaultdict, deque +from dataclasses import dataclass +from typing import Dict, List, Optional, Set import ray.util.collective as collective from ray._private.custom_types import TensorTransportEnum +from ray.experimental.collective import get_tensor_transport_manager +from ray.experimental.collective.util import device_match_transport from ray.util.collective.types import ( Backend, CommunicatorMetadata, TensorTransportMetadata, ) -from ray.experimental.collective import get_tensor_transport_manager -from ray.experimental.collective.util import device_match_transport - try: import torch except ImportError: diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index ac661dde1a23..0d6d20e44579 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -9,12 +9,12 @@ import ray._common.signature from ray import Language, cross_language from ray._common import ray_option_utils +from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.auto_init_hook import wrap_auto_init from ray._private.client_mode_hook import ( client_mode_convert_function, client_mode_should_convert, ) -from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group from ray._private.serialization import pickle_dumps from ray._private.utils import get_runtime_env_info, parse_runtime_env_for_task_or_actor from ray._raylet import ( diff --git a/python/ray/runtime_context.py b/python/ray/runtime_context.py index 5257c9688a80..df669f3447f5 100644 --- a/python/ray/runtime_context.py +++ b/python/ray/runtime_context.py @@ -1,6 +1,6 @@ import logging -from typing import Any, Dict, List, Optional import threading +from typing import Any, Dict, List, Optional import ray._private.worker from ray._private.client_mode_hook import client_mode_hook diff --git a/python/ray/runtime_env/runtime_env.py b/python/ray/runtime_env/runtime_env.py index c43685a921d0..b1ef6c87a743 100644 --- a/python/ray/runtime_env/runtime_env.py +++ b/python/ray/runtime_env/runtime_env.py @@ -13,8 +13,8 @@ from ray._private.runtime_env.plugin_schema_manager import RuntimeEnvPluginSchemaManager from ray._private.runtime_env.uv import get_uri as get_uv_uri from ray._private.runtime_env.validation import ( - OPTION_TO_VALIDATION_FN, OPTION_TO_NO_PATH_VALIDATION_FN, + OPTION_TO_VALIDATION_FN, ) from ray._private.thirdparty.dacite import from_dict from ray.core.generated.runtime_environment_pb2 import ( diff --git a/python/ray/util/__init__.py b/python/ray/util/__init__.py index 81feec19bcda..19d58a0dd318 100644 --- a/python/ray/util/__init__.py +++ b/python/ray/util/__init__.py @@ -1,14 +1,11 @@ from typing import List import ray -from ray._private.client_mode_hook import client_mode_hook from ray._private.auto_init_hook import wrap_auto_init +from ray._private.client_mode_hook import client_mode_hook from ray._private.services import get_node_instance_id, get_node_ip_address -from ray.util import iter -from ray.util import rpdb as pdb -from ray.util import debugpy as ray_debugpy +from ray.util import accelerators, debugpy as ray_debugpy, iter, rpdb as pdb from ray.util.actor_pool import ActorPool -from ray.util import accelerators from ray.util.annotations import PublicAPI from ray.util.check_serialize import inspect_serializability from ray.util.client_connect import connect, disconnect diff --git a/python/ray/util/accelerators/__init__.py b/python/ray/util/accelerators/__init__.py index 62888bc9de51..6c757121207b 100644 --- a/python/ray/util/accelerators/__init__.py +++ b/python/ray/util/accelerators/__init__.py @@ -2,32 +2,32 @@ from ray.util.accelerators import tpu from ray.util.accelerators.accelerators import ( - NVIDIA_TESLA_V100, - NVIDIA_TESLA_P100, - NVIDIA_TESLA_T4, - NVIDIA_TESLA_P4, - NVIDIA_TESLA_K80, - NVIDIA_TESLA_A10G, - NVIDIA_L4, - NVIDIA_A100, - NVIDIA_H100, - INTEL_MAX_1550, - INTEL_MAX_1100, - INTEL_GAUDI, AMD_INSTINCT_MI100, AMD_INSTINCT_MI210, AMD_INSTINCT_MI250, - AMD_INSTINCT_MI250x, - AMD_INSTINCT_MI300x, - AMD_RADEON_R9_200_HD_7900, AMD_RADEON_HD_7900, + AMD_RADEON_R9_200_HD_7900, AWS_NEURON_CORE, GOOGLE_TPU_V2, GOOGLE_TPU_V3, GOOGLE_TPU_V4, - GOOGLE_TPU_V5P, GOOGLE_TPU_V5LITEPOD, + GOOGLE_TPU_V5P, GOOGLE_TPU_V6E, + INTEL_GAUDI, + INTEL_MAX_1100, + INTEL_MAX_1550, + NVIDIA_A100, + NVIDIA_H100, + NVIDIA_L4, + NVIDIA_TESLA_A10G, + NVIDIA_TESLA_K80, + NVIDIA_TESLA_P4, + NVIDIA_TESLA_P100, + NVIDIA_TESLA_T4, + NVIDIA_TESLA_V100, + AMD_INSTINCT_MI250x, + AMD_INSTINCT_MI300x, ) __all__ = [ diff --git a/python/ray/util/accelerators/tpu.py b/python/ray/util/accelerators/tpu.py index 01dfbcf4a02f..ff31581d7ca5 100644 --- a/python/ray/util/accelerators/tpu.py +++ b/python/ray/util/accelerators/tpu.py @@ -1,4 +1,5 @@ from typing import Optional + from ray._private.accelerators import TPUAcceleratorManager from ray.util.annotations import PublicAPI diff --git a/python/ray/util/actor_group.py b/python/ray/util/actor_group.py index 53fe83285a72..5cd343f1b17d 100644 --- a/python/ray/util/actor_group.py +++ b/python/ray/util/actor_group.py @@ -1,12 +1,12 @@ +import logging import weakref from dataclasses import dataclass -import logging -from typing import List, TypeVar, Optional, Dict, Type, Tuple +from typing import Dict, List, Optional, Tuple, Type, TypeVar import ray +from ray._private.utils import get_ray_doc_version from ray.actor import ActorHandle from ray.util.annotations import Deprecated -from ray._private.utils import get_ray_doc_version T = TypeVar("T") ActorMetadata = TypeVar("ActorMetadata") diff --git a/python/ray/util/annotations.py b/python/ray/util/annotations.py index 206c02b36d26..a2e3fc664d55 100644 --- a/python/ray/util/annotations.py +++ b/python/ray/util/annotations.py @@ -1,9 +1,9 @@ -from enum import Enum -from typing import Optional import inspect import sys import warnings +from enum import Enum from functools import wraps +from typing import Optional class AnnotationType(Enum): diff --git a/python/ray/util/check_open_ports.py b/python/ray/util/check_open_ports.py index 29c9e03e4740..67f5e1fd87a5 100644 --- a/python/ray/util/check_open_ports.py +++ b/python/ray/util/check_open_ports.py @@ -3,19 +3,21 @@ See https://www.anyscale.com/blog/update-on-ray-cve-2023-48022-new-verification-tooling-available # noqa: E501 for more details. """ -from typing import List, Tuple +import json import subprocess -import click -import psutil import urllib -import json +from typing import List, Tuple + +import click import ray -from ray.util.annotations import PublicAPI from ray.autoscaler._private.cli_logger import add_click_logging_options, cli_logger from ray.autoscaler._private.constants import RAY_PROCESSES +from ray.util.annotations import PublicAPI from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +import psutil + def _get_ray_ports() -> List[int]: unique_ports = set() diff --git a/python/ray/util/check_serialize.py b/python/ray/util/check_serialize.py index a9a8377b3a77..04e1c9633f26 100644 --- a/python/ray/util/check_serialize.py +++ b/python/ray/util/check_serialize.py @@ -3,9 +3,10 @@ from contextlib import contextmanager from typing import Any, Optional, Set, Tuple +import colorama + # Import ray first to use the bundled colorama import ray # noqa: F401 -import colorama import ray.cloudpickle as cp from ray.util.annotations import DeveloperAPI diff --git a/python/ray/util/client/__init__.py b/python/ray/util/client/__init__.py index e3d009f172a5..97f4bf2802bc 100644 --- a/python/ray/util/client/__init__.py +++ b/python/ray/util/client/__init__.py @@ -9,10 +9,9 @@ _explicitly_enable_client_mode, ) from ray._private.ray_logging import setup_logger +from ray._private.utils import check_version_info from ray.job_config import JobConfig from ray.util.annotations import DeveloperAPI -from ray._private.utils import check_version_info - logger = logging.getLogger(__name__) diff --git a/python/ray/util/client/client_app.py b/python/ray/util/client/client_app.py index ec0a37021298..612700147f4f 100644 --- a/python/ray/util/client/client_app.py +++ b/python/ray/util/client/client_app.py @@ -1,6 +1,7 @@ -from ray.util.client import ray from typing import Tuple +from ray.util.client import ray + ray.connect("localhost:50051") diff --git a/python/ray/util/client/client_pickler.py b/python/ray/util/client/client_pickler.py index 4971c0e11f96..39a025f1efac 100644 --- a/python/ray/util/client/client_pickler.py +++ b/python/ray/util/client/client_pickler.py @@ -22,25 +22,22 @@ """ import io - -from typing import NamedTuple -from typing import Any -from typing import Dict -from typing import Optional +import pickle # noqa: F401 +from typing import Any, Dict, NamedTuple, Optional import ray.cloudpickle as cloudpickle -from ray.util.client import RayAPIStub -from ray.util.client.common import ClientObjectRef -from ray.util.client.common import ClientActorHandle -from ray.util.client.common import ClientActorRef -from ray.util.client.common import ClientActorClass -from ray.util.client.common import ClientRemoteFunc -from ray.util.client.common import ClientRemoteMethod -from ray.util.client.common import OptionWrapper -from ray.util.client.common import InProgressSentinel import ray.core.generated.ray_client_pb2 as ray_client_pb2 - -import pickle # noqa: F401 +from ray.util.client import RayAPIStub +from ray.util.client.common import ( + ClientActorClass, + ClientActorHandle, + ClientActorRef, + ClientObjectRef, + ClientRemoteFunc, + ClientRemoteMethod, + InProgressSentinel, + OptionWrapper, +) # NOTE(barakmich): These PickleStubs are really close to diff --git a/python/ray/util/client/common.py b/python/ray/util/client/common.py index 7d027d2b0386..80435bc5c4fd 100644 --- a/python/ray/util/client/common.py +++ b/python/ray/util/client/common.py @@ -14,6 +14,7 @@ import ray._raylet as raylet import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc +from ray._common.signature import extract_signature, get_signature from ray._private import ray_constants from ray._private.inspect_util import ( is_class_method, @@ -21,7 +22,6 @@ is_function_or_method, is_static_method, ) -from ray._common.signature import extract_signature, get_signature from ray._private.utils import check_oversized_function from ray.util.client import ray from ray.util.client.options import validate_options diff --git a/python/ray/util/client/dataclient.py b/python/ray/util/client/dataclient.py index 5ce08117087d..6ef6f29c190b 100644 --- a/python/ray/util/client/dataclient.py +++ b/python/ray/util/client/dataclient.py @@ -1,15 +1,15 @@ """This file implements a threaded stream controller to abstract a data stream back to the ray clientserver. """ -import math import logging +import math import queue import threading import warnings -import grpc - from collections import OrderedDict -from typing import Any, Callable, Dict, TYPE_CHECKING, Optional, Union +from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Union + +import grpc import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc diff --git a/python/ray/util/client/examples/run_tune.py b/python/ray/util/client/examples/run_tune.py index d7b76b778f4c..048c7de299be 100644 --- a/python/ray/util/client/examples/run_tune.py +++ b/python/ray/util/client/examples/run_tune.py @@ -1,6 +1,5 @@ -from ray.util.client import ray - from ray.tune import tune +from ray.util.client import ray ray.connect("localhost:50051") diff --git a/python/ray/util/client/logsclient.py b/python/ray/util/client/logsclient.py index b4d9a6af9928..34ad3f9f6ce9 100644 --- a/python/ray/util/client/logsclient.py +++ b/python/ray/util/client/logsclient.py @@ -1,18 +1,17 @@ """This file implements a threaded stream controller to return logs back from the ray clientserver. """ -import sys import logging import queue +import sys import threading import time -import grpc - from typing import TYPE_CHECKING +import grpc + import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc - from ray.util.debug import log_once if TYPE_CHECKING: diff --git a/python/ray/util/client/options.py b/python/ray/util/client/options.py index 57f00109af5d..bd0946fa1975 100644 --- a/python/ray/util/client/options.py +++ b/python/ray/util/client/options.py @@ -1,6 +1,4 @@ -from typing import Any -from typing import Dict -from typing import Optional +from typing import Any, Dict, Optional from ray._common import ray_option_utils from ray.util.placement_group import PlacementGroup, check_placement_group_index diff --git a/python/ray/util/client/ray_client_helpers.py b/python/ray/util/client/ray_client_helpers.py index f1ff0eab01e8..1554bd5e1c23 100644 --- a/python/ray/util/client/ray_client_helpers.py +++ b/python/ray/util/client/ray_client_helpers.py @@ -1,12 +1,12 @@ -from contextlib import contextmanager import time +from contextlib import contextmanager from typing import Any, Dict import ray as real_ray -from ray.job_config import JobConfig import ray.util.client.server.server as ray_client_server -from ray.util.client import ray from ray._private.client_mode_hook import disable_client_hook +from ray.job_config import JobConfig +from ray.util.client import ray @contextmanager diff --git a/python/ray/util/client/runtime_context.py b/python/ray/util/client/runtime_context.py index 0fe9f33935cf..ea28055361d8 100644 --- a/python/ray/util/client/runtime_context.py +++ b/python/ray/util/client/runtime_context.py @@ -1,5 +1,5 @@ -from typing import TYPE_CHECKING from types import SimpleNamespace +from typing import TYPE_CHECKING if TYPE_CHECKING: from ray import JobID, NodeID diff --git a/python/ray/util/client/server/dataservicer.py b/python/ray/util/client/server/dataservicer.py index af06b8902785..0e9363ea3640 100644 --- a/python/ray/util/client/server/dataservicer.py +++ b/python/ray/util/client/server/dataservicer.py @@ -1,24 +1,24 @@ -from collections import defaultdict -from ray.util.client.server.server_pickler import loads_from_client -import ray import logging -import grpc -from queue import Queue import sys - -from typing import Any, Dict, Iterator, TYPE_CHECKING, Union -from threading import Event, Lock, Thread import time +from collections import defaultdict +from queue import Queue +from threading import Event, Lock, Thread +from typing import TYPE_CHECKING, Any, Dict, Iterator, Union + +import grpc +import ray import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc +from ray._private.client_mode_hook import disable_client_hook from ray.util.client.common import ( CLIENT_SERVER_MAX_THREADS, - _propagate_error_in_context, OrderedResponseCache, + _propagate_error_in_context, ) +from ray.util.client.server.server_pickler import loads_from_client from ray.util.debug import log_once -from ray._private.client_mode_hook import disable_client_hook if TYPE_CHECKING: from ray.util.client.server.server import RayletServicer diff --git a/python/ray/util/client/server/proxier.py b/python/ray/util/client/server/proxier.py index 8be870c566d7..7bc959e3df17 100644 --- a/python/ray/util/client/server/proxier.py +++ b/python/ray/util/client/server/proxier.py @@ -5,30 +5,27 @@ import sys import time import traceback +import urllib from concurrent import futures from dataclasses import dataclass from itertools import chain -import urllib from threading import Event, Lock, RLock, Thread from typing import Callable, Dict, List, Optional, Tuple import grpc -# Import psutil after ray so the packaged version is used. -import psutil - import ray import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc import ray.core.generated.runtime_env_agent_pb2 as runtime_env_agent_pb2 +from ray._common.network_utils import build_address, is_localhost from ray._private.client_mode_hook import disable_client_hook -from ray._raylet import GcsClient from ray._private.parameter import RayParams from ray._private.runtime_env.context import RuntimeEnvContext from ray._private.services import ProcessInfo, start_ray_client_server from ray._private.tls_utils import add_port_to_grpc_server from ray._private.utils import detect_fate_sharing_support -from ray._common.network_utils import build_address, is_localhost +from ray._raylet import GcsClient from ray.cloudpickle.compat import pickle from ray.job_config import JobConfig from ray.util.client.common import ( @@ -40,6 +37,9 @@ ) from ray.util.client.server.dataservicer import _get_reconnecting_from_context +# Import psutil after ray so the packaged version is used. +import psutil + logger = logging.getLogger(__name__) CHECK_PROCESS_INTERVAL_S = 30 diff --git a/python/ray/util/client/server/server.py b/python/ray/util/client/server/server.py index f4194ae83fa0..c4e5d897e09d 100644 --- a/python/ray/util/client/server/server.py +++ b/python/ray/util/client/server/server.py @@ -20,14 +20,14 @@ import ray.core.generated.ray_client_pb2 as ray_client_pb2 import ray.core.generated.ray_client_pb2_grpc as ray_client_pb2_grpc from ray import cloudpickle +from ray._common.network_utils import build_address, is_localhost from ray._private import ray_constants from ray._private.client_mode_hook import disable_client_hook -from ray._raylet import GcsClient from ray._private.ray_constants import env_integer from ray._private.ray_logging import setup_logger from ray._private.services import canonicalize_bootstrap_address_or_die from ray._private.tls_utils import add_port_to_grpc_server -from ray._common.network_utils import build_address, is_localhost +from ray._raylet import GcsClient from ray.job_config import JobConfig from ray.util.client.common import ( CLIENT_SERVER_MAX_THREADS, diff --git a/python/ray/util/client/server/server_pickler.py b/python/ray/util/client/server/server_pickler.py index a0d91f400baa..5211a7991a86 100644 --- a/python/ray/util/client/server/server_pickler.py +++ b/python/ray/util/client/server/server_pickler.py @@ -12,16 +12,16 @@ in the server instance. """ import io -import ray - -from typing import Any -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any -from ray._private.client_mode_hook import disable_client_hook +import ray import ray.cloudpickle as cloudpickle +from ray._private.client_mode_hook import disable_client_hook from ray.util.client.client_pickler import PickleStub -from ray.util.client.server.server_stubs import ClientReferenceActor -from ray.util.client.server.server_stubs import ClientReferenceFunction +from ray.util.client.server.server_stubs import ( + ClientReferenceActor, + ClientReferenceFunction, +) if TYPE_CHECKING: from ray.util.client.server.server import RayletServicer diff --git a/python/ray/util/client/server/server_stubs.py b/python/ray/util/client/server/server_stubs.py index e19cbb3134a4..020ebf2aeb2c 100644 --- a/python/ray/util/client/server/server_stubs.py +++ b/python/ray/util/client/server/server_stubs.py @@ -1,6 +1,5 @@ +from abc import ABC, abstractmethod from contextlib import contextmanager -from abc import ABC -from abc import abstractmethod _current_server = None diff --git a/python/ray/util/client_connect.py b/python/ray/util/client_connect.py index c88b86457b0a..8c64459a1436 100644 --- a/python/ray/util/client_connect.py +++ b/python/ray/util/client_connect.py @@ -1,14 +1,14 @@ -from typing import Any, Dict, List, Optional, Tuple import logging +from typing import Any, Dict, List, Optional, Tuple from ray._private.client_mode_hook import ( _explicitly_enable_client_mode, _set_client_hook_status, ) +from ray._private.utils import get_ray_doc_version from ray.job_config import JobConfig from ray.util.annotations import Deprecated from ray.util.client import ray -from ray._private.utils import get_ray_doc_version logger = logging.getLogger(__name__) diff --git a/python/ray/util/collective/__init__.py b/python/ray/util/collective/__init__.py index ad7bcde93e58..09423ad37c11 100644 --- a/python/ray/util/collective/__init__.py +++ b/python/ray/util/collective/__init__.py @@ -1,28 +1,28 @@ from ray.util.collective.collective import ( - nccl_available, - gloo_available, - is_group_initialized, - init_collective_group, - destroy_collective_group, - create_collective_group, - get_rank, - get_collective_group_size, + allgather, + allgather_multigpu, allreduce, allreduce_multigpu, barrier, - reduce, - reduce_multigpu, broadcast, broadcast_multigpu, - allgather, - allgather_multigpu, + create_collective_group, + destroy_collective_group, + get_collective_group_size, + get_group_handle, + get_rank, + gloo_available, + init_collective_group, + is_group_initialized, + nccl_available, + recv, + recv_multigpu, + reduce, + reduce_multigpu, reducescatter, reducescatter_multigpu, send, send_multigpu, - recv, - recv_multigpu, - get_group_handle, ) __all__ = [ diff --git a/python/ray/util/collective/collective_group/base_collective_group.py b/python/ray/util/collective/collective_group/base_collective_group.py index cfb6ebfa8725..eff07fb16c67 100644 --- a/python/ray/util/collective/collective_group/base_collective_group.py +++ b/python/ray/util/collective/collective_group/base_collective_group.py @@ -1,16 +1,15 @@ """Abstract class for collective groups.""" -from abc import ABCMeta -from abc import abstractmethod +from abc import ABCMeta, abstractmethod from ray.util.collective.types import ( + AllGatherOptions, AllReduceOptions, BarrierOptions, - ReduceOptions, - AllGatherOptions, BroadcastOptions, + RecvOptions, + ReduceOptions, ReduceScatterOptions, SendOptions, - RecvOptions, ) diff --git a/python/ray/util/collective/collective_group/cuda_stream.py b/python/ray/util/collective/collective_group/cuda_stream.py index d5496755f82b..dbccb00c1a17 100644 --- a/python/ray/util/collective/collective_group/cuda_stream.py +++ b/python/ray/util/collective/collective_group/cuda_stream.py @@ -2,6 +2,7 @@ import threading import cupy + from ray.util.collective.collective_group import nccl_util from ray.util.collective.const import ENV diff --git a/python/ray/util/collective/collective_group/gloo_collective_group.py b/python/ray/util/collective/collective_group/gloo_collective_group.py index 6782a8e38f72..5809c12b44b3 100644 --- a/python/ray/util/collective/collective_group/gloo_collective_group.py +++ b/python/ray/util/collective/collective_group/gloo_collective_group.py @@ -8,11 +8,11 @@ import pygloo import ray +from ray._common.network_utils import parse_address from ray._private import ray_constants from ray.util.collective.collective_group import gloo_util from ray.util.collective.collective_group.base_collective_group import BaseGroup from ray.util.collective.const import get_store_name -from ray._common.network_utils import parse_address from ray.util.collective.types import ( AllGatherOptions, AllReduceOptions, diff --git a/python/ray/util/collective/collective_group/nccl_collective_group.py b/python/ray/util/collective/collective_group/nccl_collective_group.py index 9c21b936d898..5f7de1cbc318 100644 --- a/python/ray/util/collective/collective_group/nccl_collective_group.py +++ b/python/ray/util/collective/collective_group/nccl_collective_group.py @@ -1,27 +1,26 @@ -import logging import datetime +import logging import time -import ray import cupy -from ray.util.collective.const import ENV +import ray from ray.util.collective.collective_group import nccl_util from ray.util.collective.collective_group.base_collective_group import BaseGroup -from ray.util.collective.const import get_store_name +from ray.util.collective.collective_group.cuda_stream import get_stream_pool +from ray.util.collective.const import ENV, get_store_name from ray.util.collective.types import ( + AllGatherOptions, AllReduceOptions, - BarrierOptions, Backend, - ReduceOptions, + BarrierOptions, BroadcastOptions, - AllGatherOptions, + RecvOptions, + ReduceOptions, ReduceScatterOptions, SendOptions, - RecvOptions, torch_available, ) -from ray.util.collective.collective_group.cuda_stream import get_stream_pool logger = logging.getLogger(__name__) diff --git a/python/ray/util/collective/collective_group/nccl_util.py b/python/ray/util/collective/collective_group/nccl_util.py index 221d5885c411..7f68d8430208 100644 --- a/python/ray/util/collective/collective_group/nccl_util.py +++ b/python/ray/util/collective/collective_group/nccl_util.py @@ -3,13 +3,17 @@ try: import cupy - from cupy.cuda import nccl - from cupy.cuda import Device # noqa: F401 - from cupy.cuda.nccl import get_version - from cupy.cuda.nccl import get_build_version - from cupy.cuda.nccl import NcclCommunicator - from cupy.cuda.nccl import groupStart # noqa: F401 - from cupy.cuda.nccl import groupEnd # noqa: F401 + from cupy.cuda import ( + Device, # noqa: F401 + nccl, + ) + from cupy.cuda.nccl import ( + NcclCommunicator, + get_build_version, + get_version, + groupEnd, # noqa: F401 + groupStart, # noqa: F401 + ) except ImportError: raise ImportError("NCCL in Ray requires Cupy being available!") diff --git a/python/ray/util/collective/collective_group/nixl_backend.py b/python/ray/util/collective/collective_group/nixl_backend.py index 4861a4818301..ea7fd3d7ab22 100644 --- a/python/ray/util/collective/collective_group/nixl_backend.py +++ b/python/ray/util/collective/collective_group/nixl_backend.py @@ -1,8 +1,10 @@ +import time +from typing import TYPE_CHECKING, List, Tuple + from nixl._api import nixl_agent, nixl_agent_config + import ray from ray.util.collective.types import Backend -from typing import TYPE_CHECKING, List, Tuple -import time if TYPE_CHECKING: import torch diff --git a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py index 5ec743c673f6..51e7f6482b6f 100644 --- a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py +++ b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py @@ -1,22 +1,23 @@ -from typing import TYPE_CHECKING, List, Optional import os +from typing import TYPE_CHECKING, List, Optional + import torch import torch.distributed as dist import ray.experimental.internal_kv as internal_kv -from ray.util.collective.collective_group.base_collective_group import BaseGroup from ray._common.network_utils import parse_address +from ray.util.collective.collective_group.base_collective_group import BaseGroup from ray.util.collective.types import ( + AllGatherOptions, AllReduceOptions, - BarrierOptions, Backend, + BarrierOptions, + BroadcastOptions, + RecvOptions, ReduceOp, ReduceOptions, - BroadcastOptions, - AllGatherOptions, ReduceScatterOptions, SendOptions, - RecvOptions, ) if TYPE_CHECKING: diff --git a/python/ray/util/collective/examples/nccl_allreduce_example.py b/python/ray/util/collective/examples/nccl_allreduce_example.py index dd8a9f83d171..ec812843a3f8 100644 --- a/python/ray/util/collective/examples/nccl_allreduce_example.py +++ b/python/ray/util/collective/examples/nccl_allreduce_example.py @@ -1,6 +1,6 @@ -import ray import cupy as cp +import ray import ray.util.collective as collective diff --git a/python/ray/util/collective/examples/nccl_allreduce_example_declare_collective_group.py b/python/ray/util/collective/examples/nccl_allreduce_example_declare_collective_group.py index 276843ff6da9..df378785dffb 100644 --- a/python/ray/util/collective/examples/nccl_allreduce_example_declare_collective_group.py +++ b/python/ray/util/collective/examples/nccl_allreduce_example_declare_collective_group.py @@ -1,6 +1,6 @@ import cupy as cp -import ray +import ray import ray.util.collective as collective diff --git a/python/ray/util/collective/examples/nccl_allreduce_multigpu_example.py b/python/ray/util/collective/examples/nccl_allreduce_multigpu_example.py index 89282811a4e7..5a70976ae5ab 100644 --- a/python/ray/util/collective/examples/nccl_allreduce_multigpu_example.py +++ b/python/ray/util/collective/examples/nccl_allreduce_multigpu_example.py @@ -1,8 +1,8 @@ -import ray import cupy as cp +from cupy.cuda import Device +import ray import ray.util.collective as collective -from cupy.cuda import Device @ray.remote(num_gpus=2) diff --git a/python/ray/util/collective/examples/nccl_p2p_example_multigpu.py b/python/ray/util/collective/examples/nccl_p2p_example_multigpu.py index 10fe07928f67..1ef3e26ee428 100644 --- a/python/ray/util/collective/examples/nccl_p2p_example_multigpu.py +++ b/python/ray/util/collective/examples/nccl_p2p_example_multigpu.py @@ -1,8 +1,8 @@ -import ray import cupy as cp +from cupy.cuda import Device +import ray import ray.util.collective as collective -from cupy.cuda import Device @ray.remote(num_gpus=2) diff --git a/python/ray/util/collective/tests/conftest.py b/python/ray/util/collective/tests/conftest.py index 0c8fef090184..e4ec1df88675 100644 --- a/python/ray/util/collective/tests/conftest.py +++ b/python/ray/util/collective/tests/conftest.py @@ -2,6 +2,7 @@ import logging import pytest + import ray from ray.util.collective.collective_group.nccl_collective_group import ( _get_comm_key_from_devices, diff --git a/python/ray/util/collective/tests/cpu_util.py b/python/ray/util/collective/tests/cpu_util.py index f4951900dd20..1196afd86fad 100644 --- a/python/ray/util/collective/tests/cpu_util.py +++ b/python/ray/util/collective/tests/cpu_util.py @@ -1,12 +1,12 @@ -import numpy as np import logging +import numpy as np +import torch + import ray import ray.util.collective as col from ray.util.collective.types import Backend, ReduceOp -import torch - logger = logging.getLogger(__name__) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allgather.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allgather.py index bdf32432f0ab..f48a41604405 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allgather.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allgather.py @@ -1,15 +1,14 @@ """Test the allgather API on a distributed Ray cluster.""" -import pytest -import ray - import numpy as np +import pytest import torch -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import ( create_collective_workers, init_tensors_for_gather_scatter, ) +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -137,7 +136,8 @@ def test_allgather_torch_numpy(ray_start_distributed_2_nodes, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allreduce.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allreduce.py index 43be7b620fc0..d9d6df92f68c 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allreduce.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_allreduce.py @@ -1,13 +1,11 @@ """Test the collective allreduice API on a distributed Ray cluster.""" -import pytest -import ray -from ray.util.collective.types import ReduceOp - import numpy as np +import pytest import torch -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend, ReduceOp @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -174,7 +172,8 @@ def test_allreduce_torch_numpy(ray_start_distributed_2_nodes, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_basic_apis.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_basic_apis.py index 1824cda807af..774a70f0a36b 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_basic_apis.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_basic_apis.py @@ -1,10 +1,11 @@ """Test the collective group APIs.""" -import pytest -import ray from random import shuffle -from ray.util.collective.types import Backend +import pytest + +import ray from ray.util.collective.tests.cpu_util import Worker, create_collective_workers +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -130,7 +131,8 @@ def test_destroy_group(ray_start_distributed_2_nodes, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_broadcast.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_broadcast.py index d344d1894e8f..b00b92edf3ac 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_broadcast.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_broadcast.py @@ -1,10 +1,10 @@ """Test the broadcast API.""" -import pytest import numpy as np -import ray +import pytest -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -89,7 +89,8 @@ def test_broadcast_invalid_rank(ray_start_distributed_2_nodes, backend, src_rank if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reduce.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reduce.py index 901e773ca757..2df1d27b1e2c 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reduce.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reduce.py @@ -1,10 +1,10 @@ """Test the reduce API.""" -import pytest import numpy as np -import ray -from ray.util.collective.types import Backend, ReduceOp +import pytest +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend, ReduceOp @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -140,7 +140,8 @@ def test_reduce_invalid_rank(ray_start_distributed_2_nodes, backend, dst_rank=9) if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reducescatter.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reducescatter.py index fb5d37556fae..47d05b6965ae 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reducescatter.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_reducescatter.py @@ -1,15 +1,14 @@ """Test the collective reducescatter API on a distributed Ray cluster.""" -import pytest -import ray - import numpy as np +import pytest import torch -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import ( create_collective_workers, init_tensors_for_gather_scatter, ) +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -125,7 +124,8 @@ def test_reducescatter_torch_numpy(ray_start_distributed_2_nodes, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_sendrecv.py b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_sendrecv.py index 4d2285fcae7e..68aadc067adf 100644 --- a/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_sendrecv.py +++ b/python/ray/util/collective/tests/distributed_cpu_tests/test_distributed_sendrecv.py @@ -1,10 +1,10 @@ """Test the send/recv API.""" import numpy as np import pytest -import ray -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -45,7 +45,8 @@ def test_sendrecv( if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allgather.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allgather.py index 6bdac60833b7..82afc324af49 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allgather.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allgather.py @@ -1,10 +1,9 @@ """Test the allgather API on a distributed Ray cluster.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_workers, init_tensors_for_gather_scatter, @@ -132,7 +131,8 @@ def test_allgather_torch_cupy(ray_start_distributed_2_nodes_4_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allreduce.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allreduce.py index 580b6436e73c..f915db200851 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allreduce.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_allreduce.py @@ -1,12 +1,11 @@ """Test the collective allreduice API on a distributed Ray cluster.""" -import pytest -import ray -from ray.util.collective.types import ReduceOp - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import create_collective_workers +from ray.util.collective.types import ReduceOp @pytest.mark.parametrize("group_name", ["default", "test", "123?34!"]) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_basic_apis.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_basic_apis.py index ef61d7450611..bcd7b8c3808b 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_basic_apis.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_basic_apis.py @@ -1,8 +1,9 @@ """Test the collective group APIs.""" -import pytest -import ray from random import shuffle +import pytest + +import ray from ray.util.collective.tests.util import Worker, create_collective_workers @@ -114,7 +115,8 @@ def test_destroy_group(ray_start_distributed_2_nodes_4_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_broadcast.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_broadcast.py index 4a8b9779d085..ad5055a7c826 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_broadcast.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_broadcast.py @@ -1,8 +1,8 @@ """Test the broadcast API.""" -import pytest import cupy as cp -import ray +import pytest +import ray from ray.util.collective.tests.util import create_collective_workers diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reduce.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reduce.py index f7e68b85e1da..969647e78d7d 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reduce.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reduce.py @@ -1,10 +1,10 @@ """Test the reduce API.""" -import pytest import cupy as cp -import ray -from ray.util.collective.types import ReduceOp +import pytest +import ray from ray.util.collective.tests.util import create_collective_workers +from ray.util.collective.types import ReduceOp @pytest.mark.parametrize("group_name", ["default", "test", "123?34!"]) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reducescatter.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reducescatter.py index ea200f861416..99f7beb6d526 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reducescatter.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_reducescatter.py @@ -1,10 +1,9 @@ """Test the collective reducescatter API on a distributed Ray cluster.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_workers, init_tensors_for_gather_scatter, @@ -124,7 +123,8 @@ def test_reducescatter_torch_cupy(ray_start_distributed_2_nodes_4_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_sendrecv.py b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_sendrecv.py index 692159d223f9..9fb20cf06287 100644 --- a/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_sendrecv.py +++ b/python/ray/util/collective/tests/distributed_gpu_tests/test_distributed_sendrecv.py @@ -1,8 +1,8 @@ """Test the send/recv API.""" import cupy as cp import pytest -import ray +import ray from ray.util.collective.tests.util import create_collective_workers diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allgather.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allgather.py index 74ea2ebc11df..dea31ff53953 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allgather.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allgather.py @@ -1,10 +1,9 @@ """Test the allgather API on a distributed Ray cluster.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_multigpu_workers, init_tensors_for_gather_scatter_multigpu, @@ -81,7 +80,8 @@ def test_allgather_torch_cupy(ray_start_distributed_multigpu_2_nodes_4_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allreduce.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allreduce.py index 1616e1c2e9d3..aa34cc4a6efb 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allreduce.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_allreduce.py @@ -1,12 +1,12 @@ """Test the collective allreduice API on a distributed Ray cluster.""" -import pytest import logging import cupy as cp +import pytest import ray -from ray.util.collective.types import ReduceOp from ray.util.collective.tests.util import create_collective_multigpu_workers +from ray.util.collective.types import ReduceOp logger = logging.getLogger(__name__) logger.setLevel("DEBUG") diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_basic_apis.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_basic_apis.py index ed6ad137d384..4b0c861f039d 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_basic_apis.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_basic_apis.py @@ -1,8 +1,9 @@ """Test the collective group APIs.""" -import pytest -import ray from random import shuffle +import pytest + +import ray from ray.util.collective.tests.util import create_collective_multigpu_workers @@ -95,7 +96,8 @@ def test_destroy_group(ray_start_distributed_multigpu_2_nodes_4_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_broadcast.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_broadcast.py index 3b90c2568cb9..8cd52a962f5f 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_broadcast.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_broadcast.py @@ -1,8 +1,8 @@ """Test the broadcast API.""" -import pytest import cupy as cp -import ray +import pytest +import ray from ray.util.collective.tests.util import create_collective_multigpu_workers diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reduce.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reduce.py index c584806eedc2..4a15fc4c40df 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reduce.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reduce.py @@ -1,10 +1,10 @@ """Test the reduce API.""" -import pytest import cupy as cp -import ray -from ray.util.collective.types import ReduceOp +import pytest +import ray from ray.util.collective.tests.util import create_collective_multigpu_workers +from ray.util.collective.types import ReduceOp @pytest.mark.parametrize("group_name", ["default", "test", "123?34!"]) diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reducescatter.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reducescatter.py index 67a2b8b738a8..98cd51360ae4 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reducescatter.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_reducescatter.py @@ -1,10 +1,9 @@ """Test the collective reducescatter API on a distributed Ray cluster.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_multigpu_workers, init_tensors_for_gather_scatter_multigpu, @@ -84,7 +83,8 @@ def test_reducescatter_torch_cupy(ray_start_distributed_multigpu_2_nodes_4_gpus) if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_sendrecv.py b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_sendrecv.py index c7371343ba56..0fa18ddaf390 100644 --- a/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_sendrecv.py +++ b/python/ray/util/collective/tests/distributed_multigpu_tests/test_distributed_multigpu_sendrecv.py @@ -1,8 +1,8 @@ """Test the send/recv API.""" import cupy as cp import pytest -import ray +import ray from ray.util.collective.tests.util import create_collective_multigpu_workers diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_allgather.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_allgather.py index 67d9ddb01e9b..70026b88ddaa 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_allgather.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_allgather.py @@ -1,8 +1,9 @@ """Test the collective allgather API.""" import numpy as np import pytest -import ray import torch + +import ray from ray.util.collective.tests.cpu_util import ( create_collective_workers, init_tensors_for_gather_scatter, @@ -135,7 +136,8 @@ def test_allgather_torch_numpy(ray_start_single_node, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_allreduce.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_allreduce.py index 22ebcfeb6e1b..4791ed2ea388 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_allreduce.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_allreduce.py @@ -1,8 +1,9 @@ """Test the collective allreduice API.""" import numpy as np import pytest -import ray import torch + +import ray from ray.util.collective.tests.cpu_util import create_collective_workers from ray.util.collective.types import Backend, ReduceOp @@ -158,7 +159,8 @@ def test_allreduce_torch_numpy(ray_start_single_node, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_basic_apis.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_basic_apis.py index f8bd8dff63b3..0701f40f4eb5 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_basic_apis.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_basic_apis.py @@ -1,9 +1,9 @@ """Test the collective group APIs.""" import pytest -import ray -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import Worker, create_collective_workers +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -123,7 +123,8 @@ def test_destroy_group(ray_start_single_node, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_broadcast.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_broadcast.py index f785c450c142..263f832ee280 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_broadcast.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_broadcast.py @@ -1,8 +1,8 @@ """Test the broadcast API.""" -import pytest import numpy as np -import ray +import pytest +import ray from ray.util.collective.tests.cpu_util import create_collective_workers from ray.util.collective.types import Backend @@ -87,7 +87,8 @@ def test_broadcast_invalid_rank(ray_start_single_node, backend, src_rank=3): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py index bc41e341bcc6..7d0d4888aca0 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py @@ -1,8 +1,10 @@ -from python.ray.util.collective.types import Backend +import time + from python.ray.util.collective.collective_group.gloo_collective_group import GLOOGroup +from python.ray.util.collective.types import Backend + import ray import ray.util.collective as col -import time @ray.remote @@ -57,7 +59,8 @@ def test_failure_when_initializing(shutdown_only): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_reduce.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_reduce.py index d7977b2c32e6..4a125b24b82a 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_reduce.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_reduce.py @@ -1,10 +1,10 @@ """Test the reduce API.""" -import pytest import numpy as np -import ray -from ray.util.collective.types import Backend, ReduceOp +import pytest +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend, ReduceOp @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -160,7 +160,8 @@ def test_reduce_invalid_rank(ray_start_single_node, backend, dst_rank=3): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_reducescatter.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_reducescatter.py index 245c84ed9e8a..22d0e56da733 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_reducescatter.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_reducescatter.py @@ -1,15 +1,14 @@ """Test the collective reducescatter API.""" -import pytest -import ray - import numpy as np +import pytest import torch -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import ( create_collective_workers, init_tensors_for_gather_scatter, ) +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -125,7 +124,8 @@ def test_reducescatter_torch_numpy(ray_start_single_node, backend): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_sendrecv.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_sendrecv.py index aae3440b7cde..e4bd841d7a10 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_sendrecv.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_sendrecv.py @@ -1,10 +1,10 @@ """Test the send/recv API.""" -import pytest import numpy as np -import ray +import pytest -from ray.util.collective.types import Backend +import ray from ray.util.collective.tests.cpu_util import create_collective_workers +from ray.util.collective.types import Backend @pytest.mark.parametrize("backend", [Backend.GLOO]) @@ -85,7 +85,8 @@ def test_sendrecv_invalid_rank(ray_start_single_node, backend, dst_rank=3): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_allgather.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_allgather.py index eee8d48313f8..e7f78e6ac6a0 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_allgather.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_allgather.py @@ -1,10 +1,9 @@ """Test the collective allgather API.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_workers, init_tensors_for_gather_scatter, @@ -132,7 +131,8 @@ def test_allgather_torch_cupy(ray_start_single_node_2_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_allreduce.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_allreduce.py index 0acab8c73077..1894adfc295d 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_allreduce.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_allreduce.py @@ -1,8 +1,9 @@ """Test the collective allreduice API.""" import cupy as cp import pytest -import ray import torch + +import ray from ray.util.collective.tests.util import create_collective_workers from ray.util.collective.types import ReduceOp @@ -162,7 +163,8 @@ def test_allreduce_torch_cupy(ray_start_single_node_2_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_basic_apis.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_basic_apis.py index 00136b7a8523..892b13288689 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_basic_apis.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_basic_apis.py @@ -1,7 +1,7 @@ """Test the collective group APIs.""" import pytest -import ray +import ray from ray.util.collective.tests.util import Worker, create_collective_workers @@ -111,7 +111,8 @@ def test_destroy_group(ray_start_single_node_2_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_broadcast.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_broadcast.py index e00f355053e9..85623ebdfa34 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_broadcast.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_broadcast.py @@ -1,8 +1,8 @@ """Test the broadcast API.""" -import pytest import cupy as cp -import ray +import pytest +import ray from ray.util.collective.tests.util import create_collective_workers diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_reduce.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_reduce.py index 17fb446c871d..2439c30726d7 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_reduce.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_reduce.py @@ -1,10 +1,10 @@ """Test the reduce API.""" -import pytest import cupy as cp -import ray -from ray.util.collective.types import ReduceOp +import pytest +import ray from ray.util.collective.tests.util import create_collective_workers +from ray.util.collective.types import ReduceOp @pytest.mark.parametrize("group_name", ["default", "test", "123?34!"]) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_reducescatter.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_reducescatter.py index 122ef1a1faef..83c64f948fb4 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_reducescatter.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_reducescatter.py @@ -1,10 +1,9 @@ """Test the collective reducescatter API.""" -import pytest -import ray - import cupy as cp +import pytest import torch +import ray from ray.util.collective.tests.util import ( create_collective_workers, init_tensors_for_gather_scatter, @@ -124,7 +123,8 @@ def test_reducescatter_torch_cupy(ray_start_single_node_2_gpus): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/util/collective/tests/single_node_gpu_tests/test_sendrecv.py b/python/ray/util/collective/tests/single_node_gpu_tests/test_sendrecv.py index 2f79f1fb25b9..cce862ca230b 100644 --- a/python/ray/util/collective/tests/single_node_gpu_tests/test_sendrecv.py +++ b/python/ray/util/collective/tests/single_node_gpu_tests/test_sendrecv.py @@ -1,8 +1,8 @@ """Test the send/recv API.""" -import pytest import cupy as cp -import ray +import pytest +import ray from ray.util.collective.tests.util import create_collective_workers diff --git a/python/ray/util/collective/tests/util.py b/python/ray/util/collective/tests/util.py index 69eac6438224..e3dfd63adc54 100644 --- a/python/ray/util/collective/tests/util.py +++ b/python/ray/util/collective/tests/util.py @@ -1,12 +1,12 @@ -import cupy as cp import logging +import cupy as cp +import torch + import ray import ray.util.collective as col -from ray.util.collective.types import Backend, ReduceOp from ray.util.collective.collective_group.nccl_util import get_num_gpus - -import torch +from ray.util.collective.types import Backend, ReduceOp logger = logging.getLogger(__name__) diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index e46737c5a033..90ed5d6d86bd 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -1,9 +1,9 @@ """Types conversion between different backends.""" -from enum import Enum from dataclasses import dataclass from datetime import timedelta -from typing import List, Tuple, TYPE_CHECKING, Optional +from enum import Enum +from typing import TYPE_CHECKING, List, Optional, Tuple from numpy import int32 diff --git a/python/ray/util/collective/util.py b/python/ray/util/collective/util.py index 6acabf82de3e..84257fcbbfeb 100644 --- a/python/ray/util/collective/util.py +++ b/python/ray/util/collective/util.py @@ -1,7 +1,8 @@ """Some utility class for Collectives.""" -import ray import logging +import ray + logger = logging.getLogger(__name__) diff --git a/python/ray/util/dask/__init__.py b/python/ray/util/dask/__init__.py index 3376b5f8eaca..f9e4ac0cb1af 100644 --- a/python/ray/util/dask/__init__.py +++ b/python/ray/util/dask/__init__.py @@ -11,19 +11,19 @@ "Please upgrade your Dask installation." ) -from .scheduler import ( - ray_dask_get, - ray_dask_get_sync, - enable_dask_on_ray, - disable_dask_on_ray, -) from .callbacks import ( + ProgressBarCallback, RayDaskCallback, local_ray_callbacks, unpack_ray_callbacks, - ProgressBarCallback, ) from .optimizations import dataframe_optimize +from .scheduler import ( + disable_dask_on_ray, + enable_dask_on_ray, + ray_dask_get, + ray_dask_get_sync, +) dask_persist = dask.persist diff --git a/python/ray/util/dask/callbacks.py b/python/ray/util/dask/callbacks.py index 82c6ca1cf717..770d2208b504 100644 --- a/python/ray/util/dask/callbacks.py +++ b/python/ray/util/dask/callbacks.py @@ -1,6 +1,5 @@ import contextlib - -from collections import namedtuple, defaultdict +from collections import defaultdict, namedtuple from datetime import datetime from typing import Any, List, Optional diff --git a/python/ray/util/dask/common.py b/python/ray/util/dask/common.py index b041b7ff4676..47ec12d79a1b 100644 --- a/python/ray/util/dask/common.py +++ b/python/ray/util/dask/common.py @@ -1,16 +1,15 @@ +import uuid from collections import OrderedDict from collections.abc import Iterator from operator import getitem -import uuid - -import ray -from dask.core import quote -from dask.core import get as get_sync +from dask.core import get as get_sync, quote from dask.utils import apply +import ray + try: - from dataclasses import is_dataclass, fields as dataclass_fields + from dataclasses import fields as dataclass_fields, is_dataclass except ImportError: # Python < 3.7 def is_dataclass(x): diff --git a/python/ray/util/dask/optimizations.py b/python/ray/util/dask/optimizations.py index 096a6096d48f..e88416774c6d 100644 --- a/python/ray/util/dask/optimizations.py +++ b/python/ray/util/dask/optimizations.py @@ -8,9 +8,8 @@ from .scheduler import MultipleReturnFunc, multiple_return_get try: - from dask.dataframe.shuffle import SimpleShuffleLayer from dask.dataframe.optimize import optimize - from dask.dataframe.shuffle import shuffle_group + from dask.dataframe.shuffle import SimpleShuffleLayer, shuffle_group except ImportError: # SimpleShuffleLayer doesn't exist in this version of Dask. # This is the case for dask>=2025.1.0. diff --git a/python/ray/util/dask/scheduler.py b/python/ray/util/dask/scheduler.py index daa4449e6de3..0fa94706187f 100644 --- a/python/ray/util/dask/scheduler.py +++ b/python/ray/util/dask/scheduler.py @@ -1,10 +1,8 @@ -import warnings - import atexit import threading import time -from collections import defaultdict -from collections import OrderedDict +import warnings +from collections import OrderedDict, defaultdict from collections.abc import Mapping from dataclasses import dataclass from multiprocessing.pool import ThreadPool @@ -12,22 +10,22 @@ from typing import Optional import dask -from dask.core import istask, ishashable +from dask.core import ishashable, istask try: - from dask._task_spec import Task, Alias, DataNode, TaskRef, convert_legacy_graph + from dask._task_spec import Alias, DataNode, Task, TaskRef, convert_legacy_graph except ImportError: warnings.warn( "Dask on Ray is available only on dask>=2024.11.0, " f"you are on version {dask.__version__}." ) from dask.system import CPU_COUNT -from dask.threaded import pack_exception, _thread_get_id +from dask.threaded import _thread_get_id, pack_exception import ray from ray.util.dask.callbacks import local_ray_callbacks, unpack_ray_callbacks from ray.util.dask.common import unpack_object_refs -from ray.util.dask.scheduler_utils import get_async, apply_sync +from ray.util.dask.scheduler_utils import apply_sync, get_async main_thread = threading.current_thread() default_pool = None diff --git a/python/ray/util/dask/scheduler_utils.py b/python/ray/util/dask/scheduler_utils.py index bb7feca4ae8b..b4c840c6b896 100644 --- a/python/ray/util/dask/scheduler_utils.py +++ b/python/ray/util/dask/scheduler_utils.py @@ -5,7 +5,7 @@ import os import warnings -from queue import Queue, Empty +from queue import Empty, Queue import dask from dask import config diff --git a/python/ray/util/dask/tests/test_dask_callback.py b/python/ray/util/dask/tests/test_dask_callback.py index 99c59d791b33..d58c7dc3c130 100644 --- a/python/ray/util/dask/tests/test_dask_callback.py +++ b/python/ray/util/dask/tests/test_dask_callback.py @@ -1,12 +1,11 @@ import sys - import dask import pytest import ray from ray.tests.conftest import * # noqa: F403, F401 -from ray.util.dask import ray_dask_get, RayDaskCallback +from ray.util.dask import RayDaskCallback, ray_dask_get @dask.delayed diff --git a/python/ray/util/dask/tests/test_dask_multi_node.py b/python/ray/util/dask/tests/test_dask_multi_node.py index a3dc5f7effa0..44e8ace38b6e 100644 --- a/python/ray/util/dask/tests/test_dask_multi_node.py +++ b/python/ray/util/dask/tests/test_dask_multi_node.py @@ -1,10 +1,10 @@ import sys import dask -import pytest import dask.dataframe as dd import numpy as np import pandas as pd +import pytest import ray from ray.tests.conftest import * # noqa: F403, F401 diff --git a/python/ray/util/dask/tests/test_dask_optimization.py b/python/ray/util/dask/tests/test_dask_optimization.py index 858f0009a363..b09c62fbca39 100644 --- a/python/ray/util/dask/tests/test_dask_optimization.py +++ b/python/ray/util/dask/tests/test_dask_optimization.py @@ -1,8 +1,8 @@ import sys +from unittest import mock import dask import dask.dataframe as dd -from unittest import mock import numpy as np import pandas as pd import pytest @@ -21,9 +21,10 @@ if Version(dask.__version__) < Version("2025.1") and not DASK_EXPR_INSTALLED: from dask.dataframe.shuffle import SimpleShuffleLayer + from ray.util.dask.optimizations import ( - rewrite_simple_shuffle_layer, MultipleReturnSimpleShuffleLayer, + rewrite_simple_shuffle_layer, ) pytestmark = pytest.mark.skipif( diff --git a/python/ray/util/debug.py b/python/ray/util/debug.py index e5482c7b6d8c..29d9a3e1d497 100644 --- a/python/ray/util/debug.py +++ b/python/ray/util/debug.py @@ -1,10 +1,11 @@ -from collections import defaultdict, namedtuple import gc import os import re import time import tracemalloc +from collections import defaultdict, namedtuple from typing import Callable, List, Optional + from ray.util.annotations import DeveloperAPI _logged = set() @@ -210,8 +211,8 @@ def _take_snapshot(table, suspicious=None): def _find_memory_leaks_in_table(table): - import scipy.stats import numpy as np + import scipy.stats suspects = [] diff --git a/python/ray/util/debugpy.py b/python/ray/util/debugpy.py index 3513f2100fc2..1f5a0157f2b6 100644 --- a/python/ray/util/debugpy.py +++ b/python/ray/util/debugpy.py @@ -1,8 +1,8 @@ +import importlib import logging import os import sys import threading -import importlib import ray from ray._common.network_utils import build_address diff --git a/python/ray/util/helpers.py b/python/ray/util/helpers.py index b53c3c970a74..bfc400f2ffe2 100644 --- a/python/ray/util/helpers.py +++ b/python/ray/util/helpers.py @@ -1,4 +1,5 @@ from typing import TYPE_CHECKING, Any, Iterable, Iterator, Optional, Sequence, Union + import ray from ray.util.annotations import PublicAPI diff --git a/python/ray/util/metrics.py b/python/ray/util/metrics.py index 614dd34d41fa..7942f7f279c6 100644 --- a/python/ray/util/metrics.py +++ b/python/ray/util/metrics.py @@ -1,15 +1,14 @@ import logging +import os import re import warnings -import os - -from typing import Dict, Any, List, Optional, Tuple, Union +from typing import Any, Dict, List, Optional, Tuple, Union from ray._raylet import ( Count as CythonCount, - Sum as CythonSum, - Histogram as CythonHistogram, Gauge as CythonGauge, + Histogram as CythonHistogram, + Sum as CythonSum, ) # noqa: E402 # Sum is used for CythonCount because it allows incrementing by positive diff --git a/python/ray/util/multiprocessing/__init__.py b/python/ray/util/multiprocessing/__init__.py index 5b390439f5e1..75c07d911814 100644 --- a/python/ray/util/multiprocessing/__init__.py +++ b/python/ray/util/multiprocessing/__init__.py @@ -1,4 +1,4 @@ -from multiprocessing import TimeoutError, JoinableQueue +from multiprocessing import JoinableQueue, TimeoutError from .pool import Pool diff --git a/python/ray/util/placement_group.py b/python/ray/util/placement_group.py index 286036118934..d2e29b81c536 100644 --- a/python/ray/util/placement_group.py +++ b/python/ray/util/placement_group.py @@ -1,15 +1,15 @@ import warnings from typing import Dict, List, Optional, Union -from ray._common.utils import hex_to_binary, PLACEMENT_GROUP_BUNDLE_RESOURCE_NAME import ray +from ray._common.utils import PLACEMENT_GROUP_BUNDLE_RESOURCE_NAME, hex_to_binary from ray._private.auto_init_hook import auto_init_ray from ray._private.client_mode_hook import client_mode_should_convert, client_mode_wrap +from ray._private.label_utils import validate_label_selector from ray._private.utils import get_ray_doc_version from ray._raylet import PlacementGroupID from ray.util.annotations import DeveloperAPI, PublicAPI from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy -from ray._private.label_utils import validate_label_selector bundle_reservation_check = None diff --git a/python/ray/util/queue.py b/python/ray/util/queue.py index 8bd205f972c9..b18075c801ac 100644 --- a/python/ray/util/queue.py +++ b/python/ray/util/queue.py @@ -1,7 +1,7 @@ import asyncio import queue -from typing import Optional, Any, List, Dict from collections.abc import Iterable +from typing import Any, Dict, List, Optional import ray from ray.util.annotations import PublicAPI diff --git a/python/ray/util/rpdb.py b/python/ray/util/rpdb.py index ae102c96120b..865980ffb2ea 100644 --- a/python/ray/util/rpdb.py +++ b/python/ray/util/rpdb.py @@ -3,7 +3,6 @@ # (BSD 2-Clause "Simplified" License) import errno -from ray._common.network_utils import build_address import inspect import json import logging @@ -19,6 +18,7 @@ from typing import Callable import ray +from ray._common.network_utils import build_address from ray._private import ray_constants from ray.experimental.internal_kv import _internal_kv_del, _internal_kv_put from ray.util.annotations import DeveloperAPI diff --git a/python/ray/util/scheduling_strategies.py b/python/ray/util/scheduling_strategies.py index b9953094a9c1..6f86622a8be3 100644 --- a/python/ray/util/scheduling_strategies.py +++ b/python/ray/util/scheduling_strategies.py @@ -1,4 +1,5 @@ -from typing import Dict, Union, Optional, TYPE_CHECKING +from typing import TYPE_CHECKING, Dict, Optional, Union + from ray.util.annotations import PublicAPI if TYPE_CHECKING: diff --git a/python/ray/util/spark/__init__.py b/python/ray/util/spark/__init__.py index edded13240a1..69d68172eb19 100644 --- a/python/ray/util/spark/__init__.py +++ b/python/ray/util/spark/__init__.py @@ -1,8 +1,8 @@ from ray.util.spark.cluster_init import ( - setup_ray_cluster, - shutdown_ray_cluster, MAX_NUM_WORKER_NODES, setup_global_ray_cluster, + setup_ray_cluster, + shutdown_ray_cluster, ) __all__ = [ diff --git a/python/ray/util/spark/cluster_init.py b/python/ray/util/spark/cluster_init.py index 27649f278a29..fabbd51a9f76 100644 --- a/python/ray/util/spark/cluster_init.py +++ b/python/ray/util/spark/cluster_init.py @@ -1,49 +1,47 @@ import copy -import signal - -import yaml import json +import logging import os +import signal import socket import sys -import time import threading -import logging +import time import uuid import warnings +from threading import Event +from typing import Dict, Optional, Tuple, Type + import requests +import yaml from packaging.version import Version -from typing import Optional, Dict, Tuple, Type import ray import ray._private.services -from ray.autoscaler._private.spark.node_provider import HEAD_NODE_ID -from ray.util.annotations import DeveloperAPI, PublicAPI -from ray._common.utils import load_class -from ray._common.network_utils import build_address, parse_address - +from .databricks_hook import DefaultDatabricksRayOnSparkStartHook +from .start_hook_base import RayOnSparkStartHook from .utils import ( + _get_cpu_cores, + _get_local_ray_node_slots, + _get_num_physical_gpus, + _wait_service_up, + calc_mem_ray_head_node, exec_cmd, - is_port_in_use, + gen_cmd_exec_failure_msg, + get_avail_mem_per_ray_worker_node, + get_configured_spark_executor_memory_bytes, + get_max_num_concurrent_tasks, get_random_unused_port, - get_spark_session, get_spark_application_driver_host, - is_in_databricks_runtime, + get_spark_session, get_spark_task_assigned_physical_gpus, - get_avail_mem_per_ray_worker_node, - get_max_num_concurrent_tasks, - gen_cmd_exec_failure_msg, - calc_mem_ray_head_node, - _wait_service_up, - _get_local_ray_node_slots, - get_configured_spark_executor_memory_bytes, - _get_cpu_cores, - _get_num_physical_gpus, + is_in_databricks_runtime, + is_port_in_use, ) -from .start_hook_base import RayOnSparkStartHook -from .databricks_hook import DefaultDatabricksRayOnSparkStartHook -from threading import Event - +from ray._common.network_utils import build_address, parse_address +from ray._common.utils import load_class +from ray.autoscaler._private.spark.node_provider import HEAD_NODE_ID +from ray.util.annotations import DeveloperAPI, PublicAPI _logger = logging.getLogger("ray.util.spark") _logger.setLevel(logging.INFO) @@ -318,9 +316,10 @@ def _preallocate_ray_worker_port_range(): Returns: Allocated port range for current worker ports """ - import psutil import fcntl + import psutil + def acquire_lock(file_path): mode = os.O_RDWR | os.O_CREAT | os.O_TRUNC try: diff --git a/python/ray/util/spark/databricks_hook.py b/python/ray/util/spark/databricks_hook.py index 8558c309f398..491f35c1419f 100644 --- a/python/ray/util/spark/databricks_hook.py +++ b/python/ray/util/spark/databricks_hook.py @@ -1,10 +1,10 @@ +import logging import os +import threading +import time from .start_hook_base import RayOnSparkStartHook from .utils import get_spark_session -import logging -import threading -import time _logger = logging.getLogger(__name__) diff --git a/python/ray/util/spark/start_ray_node.py b/python/ray/util/spark/start_ray_node.py index 76489b15b9e5..e03c99d74e55 100644 --- a/python/ray/util/spark/start_ray_node.py +++ b/python/ray/util/spark/start_ray_node.py @@ -1,20 +1,19 @@ +import fcntl +import logging import os.path -import subprocess -import sys -import time import shutil -import fcntl import signal import socket -import logging +import subprocess +import sys import threading +import time +from ray._private.ray_process_reaper import SIGTERM_GRACE_PERIOD_SECONDS from ray.util.spark.cluster_init import ( RAY_ON_SPARK_COLLECT_LOG_TO_PATH, RAY_ON_SPARK_START_RAY_PARENT_PID, ) -from ray._private.ray_process_reaper import SIGTERM_GRACE_PERIOD_SECONDS - # Spark on ray implementation does not directly invoke `ray start ...` script to create # ray node subprocess, instead, it creates a subprocess to run this diff --git a/python/ray/util/spark/utils.py b/python/ray/util/spark/utils.py index 65bfa4a52f2b..9aa3465881fe 100644 --- a/python/ray/util/spark/utils.py +++ b/python/ray/util/spark/utils.py @@ -1,14 +1,13 @@ -import subprocess -import os -import sys -import random -import threading import collections import logging +import os +import random import shutil +import subprocess +import sys +import threading import time - _logger = logging.getLogger("ray.util.spark.utils") @@ -199,9 +198,10 @@ def _get_spark_worker_total_shared_memory(): def calc_mem_ray_head_node(configured_heap_memory_bytes, configured_object_store_bytes): - import psutil import shutil + import psutil + if RAY_ON_SPARK_DRIVER_PHYSICAL_MEMORY_BYTES in os.environ: available_physical_mem = int( os.environ[RAY_ON_SPARK_DRIVER_PHYSICAL_MEMORY_BYTES] diff --git a/python/ray/util/state/__init__.py b/python/ray/util/state/__init__.py index d74f9b650df3..b8bb885e5408 100644 --- a/python/ray/util/state/__init__.py +++ b/python/ray/util/state/__init__.py @@ -1,29 +1,28 @@ from ray.util.state.api import ( + StateApiClient, get_actor, + get_job, get_log, get_node, get_objects, get_placement_group, get_task, get_worker, - get_job, list_actors, + list_cluster_events, list_jobs, + list_logs, list_nodes, + list_objects, list_placement_groups, + list_runtime_envs, list_tasks, list_workers, - list_objects, - list_runtime_envs, - list_logs, - list_cluster_events, summarize_actors, summarize_objects, summarize_tasks, - StateApiClient, ) - __all__ = [ "get_actor", "get_log", diff --git a/python/ray/util/state/common.py b/python/ray/util/state/common.py index 18fb6eeafc75..9e4e7000eec3 100644 --- a/python/ray/util/state/common.py +++ b/python/ray/util/state/common.py @@ -9,9 +9,13 @@ from typing import Any, Dict, List, Optional, Set, Tuple, Union import ray.dashboard.utils as dashboard_utils -from ray._private.ray_constants import env_integer -from ray.core.generated.common_pb2 import TaskStatus, TaskType -from ray.core.generated.gcs_pb2 import TaskEvents + +# TODO(aguo): Instead of a version check, modify the below models +# to use pydantic BaseModel instead of dataclass. +# In pydantic 2, dataclass no longer needs the `init=True` kwarg to +# generate an __init__ method. Additionally, it will raise an error if +# it detects `init=True` to be set. +from ray._common.pydantic_compat import IS_PYDANTIC_2 from ray._private.custom_types import ( TypeActorStatus, TypeNodeStatus, @@ -22,15 +26,11 @@ TypeWorkerExitType, TypeWorkerType, ) -from ray.util.state.exception import RayStateApiException +from ray._private.ray_constants import env_integer +from ray.core.generated.common_pb2 import TaskStatus, TaskType +from ray.core.generated.gcs_pb2 import TaskEvents from ray.dashboard.modules.job.pydantic_models import JobDetails - -# TODO(aguo): Instead of a version check, modify the below models -# to use pydantic BaseModel instead of dataclass. -# In pydantic 2, dataclass no longer needs the `init=True` kwarg to -# generate an __init__ method. Additionally, it will raise an error if -# it detects `init=True` to be set. -from ray._common.pydantic_compat import IS_PYDANTIC_2 +from ray.util.state.exception import RayStateApiException try: from pydantic.dataclasses import dataclass diff --git a/python/ray/util/state/state_cli.py b/python/ray/util/state/state_cli.py index b76544d8d316..16ab4f34e2ea 100644 --- a/python/ray/util/state/state_cli.py +++ b/python/ray/util/state/state_cli.py @@ -8,8 +8,9 @@ import yaml import ray._private.services as services -from ray._private.thirdparty.tabulate.tabulate import tabulate from ray._common.network_utils import parse_address +from ray._private.thirdparty.tabulate.tabulate import tabulate +from ray.util.annotations import PublicAPI from ray.util.state import ( StateApiClient, get_log, @@ -31,7 +32,6 @@ resource_to_schema, ) from ray.util.state.exception import RayStateApiException -from ray.util.annotations import PublicAPI logger = logging.getLogger(__name__) diff --git a/python/ray/util/state/state_manager.py b/python/ray/util/state/state_manager.py index 16c570865007..b22ba784e8c2 100644 --- a/python/ray/util/state/state_manager.py +++ b/python/ray/util/state/state_manager.py @@ -1,20 +1,21 @@ import dataclasses import inspect +import json import logging from functools import wraps from typing import List, Optional, Tuple -import json import aiohttp import grpc from grpc.aio._call import UnaryStreamCall import ray -import ray.dashboard.modules.log.log_consts as log_consts import ray.dashboard.consts as dashboard_consts -from ray._private import ray_constants +import ray.dashboard.modules.log.log_consts as log_consts +from ray._common.network_utils import build_address from ray._common.utils import hex_to_binary -from ray._raylet import GcsClient, ActorID, JobID, TaskID, NodeID +from ray._private import ray_constants +from ray._raylet import ActorID, GcsClient, JobID, NodeID, TaskID from ray.core.generated import gcs_service_pb2_grpc from ray.core.generated.gcs_pb2 import ActorTableData, GcsNodeInfo from ray.core.generated.gcs_service_pb2 import ( @@ -54,7 +55,6 @@ SupportedFilterType, ) from ray.util.state.exception import DataSourceUnavailable -from ray._common.network_utils import build_address logger = logging.getLogger(__name__) diff --git a/python/ray/util/state/util.py b/python/ray/util/state/util.py index dd62076bc1dc..77894289d9fb 100644 --- a/python/ray/util/state/util.py +++ b/python/ray/util/state/util.py @@ -49,6 +49,7 @@ def convert_string_to_type( def record_deprecated_state_api_import(): import warnings + from ray._common.usage.usage_lib import TagKey, record_extra_usage_tag warnings.warn( diff --git a/python/ray/util/tracing/setup_local_tmp_tracing.py b/python/ray/util/tracing/setup_local_tmp_tracing.py index f53579a9d9c6..94523ea8bff7 100644 --- a/python/ray/util/tracing/setup_local_tmp_tracing.py +++ b/python/ray/util/tracing/setup_local_tmp_tracing.py @@ -1,4 +1,5 @@ import os + from opentelemetry import trace from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import ( diff --git a/python/ray/util/tracing/setup_tempo_tracing.py b/python/ray/util/tracing/setup_tempo_tracing.py index 12e310c612a0..e2bb3102b09d 100644 --- a/python/ray/util/tracing/setup_tempo_tracing.py +++ b/python/ray/util/tracing/setup_tempo_tracing.py @@ -1,9 +1,9 @@ # This file is intended for examples exporting traces to a local OTLP listener from opentelemetry import trace -from opentelemetry.sdk.trace import TracerProvider from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( OTLPSpanExporter, ) # noqa +from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import ( ConsoleSpanExporter, SimpleSpanProcessor, From a74a5ba6f656a103206ad88a55ff3110563ac1b3 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 9 Sep 2025 22:09:12 +0530 Subject: [PATCH 1117/1566] fixing deployment scoped custom autoscaling (#56192) `attrbitutes` that start with `_` in pydantic are not seen by `validator`, `.dict()`, hence the previous implementation always resorted to the default policy. Changing `_policy` to `policy` fixes this problem. Also add a test to ensure this works --------- Signed-off-by: abrar Co-authored-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/config.py | 22 +++---- .../serve/tests/test_autoscaling_policy.py | 61 ++++++++++++++++++- python/ray/serve/tests/test_controller.py | 3 + python/ray/serve/tests/test_deploy_2.py | 2 + python/ray/serve/tests/test_deploy_app_2.py | 2 + src/ray/protobuf/serve.proto | 2 +- 6 files changed, 75 insertions(+), 17 deletions(-) diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index 31b3ba84e825..650f62f71b44 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -233,11 +233,10 @@ class AutoscalingConfig(BaseModel): _serialized_policy_def: bytes = PrivateAttr(default=b"") # Autoscaling policy. This policy is deployment scoped. Defaults to the request-based autoscaler. - _policy: AutoscalingPolicy = Field(default_factory=AutoscalingPolicy) - - # This is to make `_policy` a normal field until its GA ready. - class Config: - underscore_attrs_are_private = True + policy: AutoscalingPolicy = Field( + default_factory=AutoscalingPolicy, + description="The autoscaling policy for the deployment. This option is experimental.", + ) @validator("max_replicas", always=True) def replicas_settings_valid(cls, max_replicas, values): @@ -285,23 +284,16 @@ def serialize_policy(self) -> None: Import the policy if it's passed in as a string import path. Then cloudpickle the policy and set `serialized_policy_def` if it's empty. """ - values = self.dict() - policy = values.get("_policy") - - policy_name = None - if isinstance(policy, dict): - policy_name = policy.get("name") + policy = self.policy + policy_name = policy.name if isinstance(policy_name, Callable): policy_name = f"{policy_name.__module__}.{policy_name.__name__}" - if not policy_name: - policy_name = DEFAULT_AUTOSCALING_POLICY_NAME - if not self._serialized_policy_def: self._serialized_policy_def = cloudpickle.dumps(import_attr(policy_name)) - self._policy = AutoscalingPolicy(name=policy_name) + self.policy = AutoscalingPolicy(name=policy_name) @classmethod def default(cls): diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index b3bbe85b06e8..98120b3e1626 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -15,6 +15,7 @@ import ray.util.state as state_api from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition +from ray.serve._private.autoscaling_state import AutoscalingContext from ray.serve._private.common import ( DeploymentID, DeploymentStatus, @@ -36,7 +37,7 @@ get_num_alive_replicas, tlog, ) -from ray.serve.config import AutoscalingConfig +from ray.serve.config import AutoscalingConfig, AutoscalingPolicy from ray.serve.handle import DeploymentHandle from ray.serve.schema import ApplicationStatus, ServeDeploySchema from ray.util.state import list_actors @@ -1520,6 +1521,64 @@ def check_expected_statuses( print("Statuses are as expected.") +def custom_autoscaling_policy(ctx: AutoscalingContext): + if ctx.total_num_requests > 50: + return 3, {} + else: + return 2, {} + + +@pytest.mark.parametrize( + "policy", + [ + {"name": "ray.serve.tests.test_autoscaling_policy.custom_autoscaling_policy"}, + AutoscalingPolicy( + name="ray.serve.tests.test_autoscaling_policy.custom_autoscaling_policy" + ), + AutoscalingPolicy(name=custom_autoscaling_policy), + ], +) +def test_e2e_scale_up_down_basic_with_custom_policy(serve_instance_with_signal, policy): + """Send 100 requests and check that we autoscale up, and then back down.""" + + _, signal = serve_instance_with_signal + + @serve.deployment( + autoscaling_config={ + "min_replicas": 1, + "max_replicas": 4, + "downscale_delay_s": 0.5, + "upscale_delay_s": 0, + "policy": policy, + "metrics_interval_s": 0.1, + }, + # We will send over a lot of queries. This will make sure replicas are + # killed quickly during cleanup. + graceful_shutdown_timeout_s=1, + max_ongoing_requests=1000, + ) + class A: + async def __call__(self): + await signal.wait.remote() + + handle = serve.run(A.bind()) + wait_for_condition( + check_deployment_status, name="A", expected_status=DeploymentStatus.HEALTHY + ) + + [handle.remote() for _ in range(40)] + + # scale up one more replica from min_replicas + wait_for_condition(check_num_replicas_eq, name="A", target=2) + print("Scaled up to 2 replicas.") + + ray.get(signal.send.remote(clear=True)) + wait_for_condition(lambda: ray.get(signal.cur_num_waiters.remote()) == 0) + [handle.remote() for _ in range(70)] + wait_for_condition(check_num_replicas_eq, name="A", target=3) + ray.get(signal.send.remote(clear=True)) + + if __name__ == "__main__": import sys diff --git a/python/ray/serve/tests/test_controller.py b/python/ray/serve/tests/test_controller.py index 18ca6ce16ab2..f9765663eda0 100644 --- a/python/ray/serve/tests/test_controller.py +++ b/python/ray/serve/tests/test_controller.py @@ -177,6 +177,9 @@ def autoscaling_app(): "downscaling_factor": None, "downscale_delay_s": 600.0, "upscale_delay_s": 30.0, + "policy": { + "name": "ray.serve.autoscaling_policy:default_autoscaling_policy" + }, }, "graceful_shutdown_wait_loop_s": 2.0, "graceful_shutdown_timeout_s": 20.0, diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index 62abad6082e0..1dc32c7a23a0 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -331,6 +331,7 @@ async def __call__(self): "downscaling_factor": None, "smoothing_factor": 1.0, "initial_replicas": None, + "policy": {"name": "ray.serve.autoscaling_policy:default_autoscaling_policy"}, } @@ -384,6 +385,7 @@ async def __call__(self): "downscaling_factor": None, "smoothing_factor": 1.0, "initial_replicas": None, + "policy": {"name": "ray.serve.autoscaling_policy:default_autoscaling_policy"}, } for i in range(3): diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 5d04dc45d60d..1b5acec54b4c 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -616,6 +616,7 @@ def test_num_replicas_auto_api(serve_instance): "downscaling_factor": None, "smoothing_factor": 1.0, "initial_replicas": None, + "policy": {"name": "ray.serve.autoscaling_policy:default_autoscaling_policy"}, } @@ -668,6 +669,7 @@ def test_num_replicas_auto_basic(serve_instance): "downscaling_factor": None, "smoothing_factor": 1.0, "initial_replicas": None, + "policy": {"name": "ray.serve.autoscaling_policy:default_autoscaling_policy"}, } h = serve.get_app_handle(SERVE_DEFAULT_APP_NAME) diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index a4d7202fb866..420bb7258b23 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -70,7 +70,7 @@ message AutoscalingConfig { bytes _serialized_policy_def = 11; // The autoscaling policy definition. - AutoscalingPolicy _policy = 12; + AutoscalingPolicy policy = 12; // Target number of in flight requests per replica. This is the primary configuration // knob for replica autoscaler. Lower the number, the more rapidly the replicas From d8d41fd6fb7f6a12bb025dace0907414ee967aa0 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 9 Sep 2025 10:26:27 -0700 Subject: [PATCH 1118/1566] [core] initialize opentelemetry.metrics once (#56347) Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../open_telemetry_metric_recorder.py | 20 +++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index 3f8e64fbfe08..a5cb561df1e8 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -23,17 +23,29 @@ class OpenTelemetryMetricRecorder: It uses OpenTelemetry's Prometheus exporter to export metrics. """ + _metrics_initialized = False + _metrics_initialized_lock = threading.Lock() + def __init__(self): self._lock = threading.Lock() self._registered_instruments = {} self._observations_by_name = defaultdict(dict) self._histogram_bucket_midpoints = defaultdict(list) - - prometheus_reader = PrometheusMetricReader() - provider = MeterProvider(metric_readers=[prometheus_reader]) - metrics.set_meter_provider(provider) + self._init_metrics() self.meter = metrics.get_meter(__name__) + def _init_metrics(self): + # Initialize the global metrics provider and meter. We only do this once on + # the first initialization of the class, because re-setting the meter provider + # can result in loss of metrics. + with self._metrics_initialized_lock: + if self._metrics_initialized: + return + prometheus_reader = PrometheusMetricReader() + provider = MeterProvider(metric_readers=[prometheus_reader]) + metrics.set_meter_provider(provider) + self._metrics_initialized = True + def register_gauge_metric(self, name: str, description: str) -> None: with self._lock: if name in self._registered_instruments: From f51e0dc21fd9cb9dc1f45c7628dd51da85753610 Mon Sep 17 00:00:00 2001 From: Eric Higgins <87031925+eric-higgins-ai@users.noreply.github.com> Date: Tue, 9 Sep 2025 13:41:47 -0400 Subject: [PATCH 1119/1566] [dashboard] fix grafana dashboard generation bug (#56346) If global_filters_str is empty then some queries in the dashboard contain ,, in their filters, which is invalid. Signed-off-by: eric-higgins-ai Signed-off-by: Douglas Strodtman --- .../dashboard/modules/metrics/grafana_dashboard_factory.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/metrics/grafana_dashboard_factory.py b/python/ray/dashboard/modules/metrics/grafana_dashboard_factory.py index 2d57abe853ce..0ffa6b1cec15 100644 --- a/python/ray/dashboard/modules/metrics/grafana_dashboard_factory.py +++ b/python/ray/dashboard/modules/metrics/grafana_dashboard_factory.py @@ -66,7 +66,10 @@ def _read_configs_for_dashboard( ) or "" ) - global_filters = global_filters_str.split(",") + if global_filters_str == "": + global_filters = [] + else: + global_filters = global_filters_str.split(",") return uid, global_filters From 1f830d73afae27b89896c35bd67d0e4cff825d4b Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Tue, 9 Sep 2025 10:54:34 -0700 Subject: [PATCH 1120/1566] [Data]: Fix mock_server cleanup on error (#56330) ## Why are these changes needed? ### [Data]: Fix mock_server cleanup on error - Better error handling in _s3_fs - Better error handling in mock_server stop_process ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- python/ray/data/tests/conftest.py | 45 ++++++++++++++------ python/ray/data/tests/mock_server.py | 63 ++++++++++++++++++++++++---- 2 files changed, 86 insertions(+), 22 deletions(-) diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index 5a14253918bb..6ee6e4df6bfc 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -144,19 +144,38 @@ def _s3_fs(aws_credentials, s3_server, s3_path): kwargs["allow_bucket_creation"] = True kwargs["allow_bucket_deletion"] = True - fs = pa.fs.S3FileSystem( - region="us-west-2", - endpoint_override=s3_server, - **kwargs, - ) - if s3_path.startswith("s3://"): - if "@" in s3_path: - s3_path = s3_path.split("@")[-1] - else: - s3_path = s3_path[len("s3://") :] - s3_path = urllib.parse.quote(s3_path) - fs.create_dir(s3_path) - yield fs + fs = None + try: + fs = pa.fs.S3FileSystem( + region="us-west-2", + endpoint_override=s3_server, + **kwargs, + ) + if s3_path.startswith("s3://"): + if "@" in s3_path: + s3_path = s3_path.split("@")[-1] + else: + s3_path = s3_path[len("s3://") :] + s3_path = urllib.parse.quote(s3_path) + fs.create_dir(s3_path) + yield fs + + finally: + # Explicit cleanup for S3FileSystem resources + if fs is not None: + try: + # Clean up test directory if it exists + try: + file_info = fs.get_file_info(s3_path) + if file_info.type != pa.fs.FileType.NotFound: + fs.delete_dir(s3_path) + except (OSError, pa.lib.ArrowIOError): + # Directory doesn't exist or can't be deleted, that's fine + pass + except Exception as e: + print(f"Warning: S3 filesystem cleanup error: {e}") + finally: + fs = None @pytest.fixture(scope="function") diff --git a/python/ray/data/tests/mock_server.py b/python/ray/data/tests/mock_server.py index f8a5e22bfa12..337aa1f87a72 100644 --- a/python/ray/data/tests/mock_server.py +++ b/python/ray/data/tests/mock_server.py @@ -1,5 +1,6 @@ import shutil import signal +import socket import subprocess as sp import time @@ -16,10 +17,51 @@ } +def _is_port_available(host, port): + """Check if a port is available for use.""" + try: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, port)) + return True + except OSError: + return False + + +def _find_available_port(host, preferred_port, max_attempts=10): + """Find an available port starting from preferred_port.""" + + # Try the preferred port first + if _is_port_available(host, preferred_port): + return preferred_port + + # Try a wider range if preferred port is busy + for i in range(1, max_attempts): + port = preferred_port + i + if _is_port_available(host, port): + return port + + # If all else fails, let the OS pick a port + try: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, 0)) # Let OS pick port + _, port = s.getsockname() + return port + except OSError as e: + raise RuntimeError( + f"Could not find any available port starting from " f"{preferred_port}: {e}" + ) from e + + def start_service(service_name, host, port): moto_svr_path = shutil.which("moto_server") if not moto_svr_path: pytest.skip("moto not installed") + + # Always use port conflict resolution to be safe + port = _find_available_port(host, port) + args = [moto_svr_path, service_name, "-H", host, "-p", str(port)] # For debugging # args = '{0} {1} -H {2} -p {3} 2>&1 | \ @@ -48,21 +90,25 @@ def start_service(service_name, host, port): stop_process(process) # pytest.fail doesn't call stop_process pytest.fail("Can not start service: {}".format(service_name)) - return process + return process, url def stop_process(process): + """Stop process with shorter timeout to prevent test hangs.""" + if process is None or process.poll() is not None: + return # Already stopped + try: process.send_signal(signal.SIGTERM) process.communicate(timeout=20) except sp.TimeoutExpired: process.kill() - outs, errors = process.communicate(timeout=20) - exit_code = process.returncode - msg = "Child process finished {} not in clean way: {} {}".format( - exit_code, outs, errors - ) - raise RuntimeError(msg) + try: + process.communicate(timeout=5) # Short timeout for kill + except sp.TimeoutExpired: + print("Warning: Process cleanup timed out") + except Exception as e: + print(f"Warning: Error during process cleanup: {e}") # TODO(Clark): We should be able to use "session" scope here, but we've found @@ -75,7 +121,6 @@ def stop_process(process): def s3_server(): host = "localhost" port = 5002 - url = f"http://{build_address(host, port)}" - process = start_service("s3", host, port) + process, url = start_service("s3", host, port) yield url stop_process(process) From 3b7d67c8f3e0ae2d48772d4c1a69cd84a1427144 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 9 Sep 2025 11:02:50 -0700 Subject: [PATCH 1121/1566] [core] fix lint on test_deprecation (#56386) on isort enabling. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/_common/tests/test_deprecation.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/python/ray/_common/tests/test_deprecation.py b/python/ray/_common/tests/test_deprecation.py index 9f0b23efde3c..a6d9d7a13f54 100644 --- a/python/ray/_common/tests/test_deprecation.py +++ b/python/ray/_common/tests/test_deprecation.py @@ -1,11 +1,13 @@ -import pytest import sys +from unittest.mock import patch + +import pytest + from ray._common.deprecation import ( DEPRECATED_VALUE, Deprecated, deprecation_warning, ) -from unittest.mock import patch def test_deprecation_warning_warn(): From 49fa191da4bfaee6488e3bf06ca03874428631b8 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Tue, 9 Sep 2025 11:06:12 -0700 Subject: [PATCH 1122/1566] [serve] Add a test to ensure calling await multiple times on response doesn't result in multiple calls to replica (#56362) ## Why are these changes needed? Add handle test for fetching deployment response result multiple times. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../ray/serve/tests/test_handle_same_loop.py | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/python/ray/serve/tests/test_handle_same_loop.py b/python/ray/serve/tests/test_handle_same_loop.py index 056703fe4365..c3086f71ae86 100644 --- a/python/ray/serve/tests/test_handle_same_loop.py +++ b/python/ray/serve/tests/test_handle_same_loop.py @@ -220,5 +220,27 @@ async def check_num_waiters(): await signal_actor.send.remote(clear=True) +@pytest.mark.asyncio +async def test_multiple_awaits(serve_instance_async): + """Test that multiple awaits doesn't call replica multiple times.""" + a = 0 + + @serve.deployment + async def foo(): + nonlocal a + a += 1 + return a + + app = serve.run(foo.bind()) + + response = app.remote() + assert await response == 1 + assert await response == 1 + + response = app.remote() + assert await response == 2 + assert await response == 2 + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From 880313220e65a4428decad1b4350e9408ff8008b Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 9 Sep 2025 11:26:16 -0700 Subject: [PATCH 1123/1566] Fixing broken CI due to linter issues (#56385) Signed-off-by: irabbani Signed-off-by: Douglas Strodtman From 3e284c8713e4fd28155da0e1f540c1cb4357c8f9 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 9 Sep 2025 12:55:09 -0700 Subject: [PATCH 1124/1566] [core] Allow task manager access with submitter mutex + unify retry (#56216) Signed-off-by: dayshah Signed-off-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 27 ++---- src/ray/core_worker/core_worker.h | 4 +- src/ray/core_worker/core_worker_process.cc | 6 +- src/ray/core_worker/task_manager.cc | 10 +-- src/ray/core_worker/task_manager.h | 10 +-- .../task_submission/actor_task_submitter.cc | 86 +++++++++---------- .../task_submission/actor_task_submitter.h | 8 -- src/ray/core_worker/tests/core_worker_test.cc | 2 +- .../core_worker/tests/task_manager_test.cc | 24 +----- 9 files changed, 68 insertions(+), 109 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 433baa6a0184..04db6d5398f7 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -4548,28 +4548,13 @@ void CoreWorker::UpdateTaskIsDebuggerPaused(const TaskID &task_id, worker::TaskStatusEvent::TaskStateUpdate(is_debugger_paused))); } -void CoreWorker::TaskManagerRetryTask(TaskSpecification &spec, - bool object_recovery, - uint32_t delay_ms) { +void CoreWorker::AsyncRetryTask(TaskSpecification &spec, uint32_t delay_ms) { spec.GetMutableMessage().set_attempt_number(spec.AttemptNumber() + 1); - if (!object_recovery) { - // Retry after a delay to emulate the existing Raylet reconstruction - // behaviour. TODO(ekl) backoff exponentially. - RAY_LOG(INFO) << "Will resubmit task after a " << delay_ms - << "ms delay: " << spec.DebugString(); - absl::MutexLock lock(&mutex_); - TaskToRetry task_to_retry{current_time_ms() + delay_ms, spec}; - to_resubmit_.push(std::move(task_to_retry)); - } else { - if (spec.IsActorTask()) { - auto actor_handle = actor_manager_->GetActorHandle(spec.ActorId()); - actor_handle->SetResubmittedActorTaskSpec(spec); - actor_task_submitter_->SubmitTask(spec); - } else { - RAY_CHECK(spec.IsNormalTask()); - normal_task_submitter_->SubmitTask(spec); - } - } + absl::MutexLock lock(&mutex_); + TaskToRetry task_to_retry{current_time_ms() + delay_ms, spec}; + RAY_LOG(INFO) << "Will resubmit task after a " << delay_ms + << "ms delay: " << spec.DebugString(); + to_resubmit_.push(std::move(task_to_retry)); } } // namespace ray::core diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index f1de5e739d7d..58e0cd65cf8a 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -1340,9 +1340,7 @@ class CoreWorker { const std::shared_ptr &creation_task_exception_pb_bytes = nullptr); - void TaskManagerRetryTask(TaskSpecification &spec, - bool object_recovery, - uint32_t delay_ms); + void AsyncRetryTask(TaskSpecification &spec, uint32_t delay_ms); private: static nlohmann::json OverrideRuntimeEnv(const nlohmann::json &child, diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 5aa2545c8dbf..aaa3515264a2 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -454,10 +454,10 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( << ") with status: " << put_status; return put_status; }, - /* retry_task_callback= */ - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + /* async_retry_task_callback=*/ + [this](TaskSpecification &spec, uint32_t delay_ms) { auto core_worker = GetCoreWorker(); - core_worker->TaskManagerRetryTask(spec, object_recovery, delay_ms); + core_worker->AsyncRetryTask(spec, delay_ms); }, /*queue_generator_resubmit=*/ [this](const TaskSpecification &spec) { diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index a78b481a76e8..ffd18eb96a18 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -416,7 +416,7 @@ std::optional TaskManager::ResubmitTask( // issue #54260. RAY_LOG(INFO) << "Resubmitting task that produced lost plasma object, attempt #" << spec.AttemptNumber() << ": " << spec.DebugString(); - retry_task_callback_(spec, /*object_recovery*/ true, /*delay_ms*/ 0); + async_retry_task_callback_(spec, /*delay_ms=*/0); return std::nullopt; } @@ -424,8 +424,8 @@ std::optional TaskManager::ResubmitTask( void TaskManager::SetupTaskEntryForResubmit(TaskEntry &task_entry) { task_entry.MarkRetry(); // NOTE(rickyx): We only increment the AttemptNumber on the task spec when - // `retry_task_callback_` is invoked. In order to record the correct status change for - // the new task attempt, we pass the attempt number explicitly. + // `async_retry_task_callback_` is invoked. In order to record the correct status change + // for the new task attempt, we pass the attempt number explicitly. SetTaskStatus(task_entry, rpc::TaskStatus::PENDING_ARGS_AVAIL, /* state_update */ std::nullopt, @@ -503,7 +503,7 @@ void TaskManager::MarkGeneratorFailedAndResubmit(const TaskID &task_id) { // Note: Don't need to call UpdateReferencesForResubmit because CompletePendingTask or // FailPendingTask are not called when this is. Therefore, RemoveFinishedTaskReferences // never happened for this task. - retry_task_callback_(spec, /*object_recovery*/ true, /*delay_ms*/ 0); + async_retry_task_callback_(spec, /*delay_ms*/ 0); } void TaskManager::DrainAndShutdown(std::function shutdown) { @@ -1225,7 +1225,7 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, spec.AttemptNumber(), RayConfig::instance().task_oom_retry_delay_base_ms()) : RayConfig::instance().task_retry_delay_ms(); - retry_task_callback_(spec, /*object_recovery*/ false, delay_ms); + async_retry_task_callback_(spec, delay_ms); return true; } else { RAY_LOG(INFO) << "No retries left for task " << spec.TaskId() diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 8da151499087..9d334eb226b7 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -48,8 +48,8 @@ class ActorManager; using TaskStatusCounter = CounterMap>; using PutInLocalPlasmaCallback = std::function; -using RetryTaskCallback = - std::function; +using AsyncRetryTaskCallback = + std::function; using ReconstructObjectCallback = std::function; using PushErrorCallback = std::function queue_generator_resubmit, PushErrorCallback push_error_callback, int64_t max_lineage_bytes, @@ -190,7 +190,7 @@ class TaskManager : public TaskManagerInterface { : in_memory_store_(in_memory_store), reference_counter_(reference_counter), put_in_local_plasma_callback_(std::move(put_in_local_plasma_callback)), - retry_task_callback_(std::move(retry_task_callback)), + async_retry_task_callback_(std::move(async_retry_task_callback)), queue_generator_resubmit_(std::move(queue_generator_resubmit)), push_error_callback_(std::move(push_error_callback)), max_lineage_bytes_(max_lineage_bytes), @@ -748,7 +748,7 @@ class TaskManager : public TaskManagerInterface { const PutInLocalPlasmaCallback put_in_local_plasma_callback_; /// Called when a task should be retried. - const RetryTaskCallback retry_task_callback_; + const AsyncRetryTaskCallback async_retry_task_callback_; /// For when a streaming generator task currently in progress needs to be resubmitted. std::function queue_generator_resubmit_; diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 9df800d15e39..3cf16396d1c2 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -229,7 +229,7 @@ void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { } if (fail_or_retry_task) { - GetTaskManagerWithoutMu().FailOrRetryPendingTask( + task_manager_.FailOrRetryPendingTask( task_id, rpc::ErrorType::DEPENDENCY_RESOLUTION_FAILED, &status); } }); @@ -255,12 +255,12 @@ void ActorTaskSubmitter::SubmitTask(TaskSpecification task_spec) { error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && error_info.actor_died_error().oom_context().fail_immediately(); - GetTaskManagerWithoutMu().FailOrRetryPendingTask(task_id, - error_type, - &status, - &error_info, - /*mark_task_object_failed*/ true, - fail_immediately); + task_manager_.FailOrRetryPendingTask(task_id, + error_type, + &status, + &error_info, + /*mark_task_object_failed*/ true, + fail_immediately); } } @@ -280,8 +280,8 @@ void ActorTaskSubmitter::FailInflightTasksOnRestart( const absl::flat_hash_map> &inflight_task_callbacks) { // NOTE(kfstorm): We invoke the callbacks with a bad status to act like there's a - // network issue. We don't call `task_manager_.FailOrRetryPendingTask` directly because - // there's much more work to do in the callback. + // network issue. We don't call `task_manager_.FailOrRetryPendingTask` directly + // because there's much more work to do in the callback. auto status = Status::IOError("The actor was restarted"); for (const auto &[_, callback] : inflight_task_callbacks) { callback(status, rpc::PushTaskReply()); @@ -456,18 +456,18 @@ void ActorTaskSubmitter::DisconnectActor(const ActorID &actor_id, error_info.has_actor_died_error() && error_info.actor_died_error().has_oom_context() && error_info.actor_died_error().oom_context().fail_immediately(); - GetTaskManagerWithoutMu().FailOrRetryPendingTask(task_id, - error_type, - &status, - &error_info, - /*mark_task_object_failed*/ true, - fail_immediatedly); + task_manager_.FailOrRetryPendingTask(task_id, + error_type, + &status, + &error_info, + /*mark_task_object_failed*/ true, + fail_immediatedly); } if (!wait_for_death_info_tasks.empty()) { RAY_LOG(DEBUG).WithField(actor_id) << "Failing tasks waiting for death info, size=" << wait_for_death_info_tasks.size(); for (auto &task : wait_for_death_info_tasks) { - GetTaskManagerWithoutMu().FailPendingTask( + task_manager_.FailPendingTask( task->task_spec_.TaskId(), error_type, &task->status_, &error_info); } } @@ -495,15 +495,15 @@ void ActorTaskSubmitter::FailTaskWithError(const PendingTaskWaitingForDeathInfo error_info.set_error_type(rpc::ErrorType::ACTOR_DIED); error_info.set_error_message("Actor died by preemption."); } - GetTaskManagerWithoutMu().FailPendingTask( + task_manager_.FailPendingTask( task.task_spec_.TaskId(), error_info.error_type(), &task.status_, &error_info); } void ActorTaskSubmitter::CheckTimeoutTasks() { // For each task in `wait_for_death_info_tasks`, if it times out, fail it with // timeout_error_info. But operating on the queue requires the mu_ lock; while calling - // FailPendingTask requires the opposite. So we copy the tasks out from the queue within - // the lock. This requires putting the data into shared_ptr. + // FailPendingTask requires the opposite. So we copy the tasks out from the queue + // within the lock. This requires putting the data into shared_ptr. std::vector> timeout_tasks; int64_t now = current_time_ms(); { @@ -655,7 +655,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, } } if (resubmit_generator) { - GetTaskManagerWithoutMu().MarkGeneratorFailedAndResubmit(task_id); + task_manager_.MarkGeneratorFailedAndResubmit(task_id); return; } @@ -676,10 +676,10 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, rpc::RayErrorInfo error_info; error_info.set_error_message(msg); error_info.set_error_type(rpc::ErrorType::TASK_CANCELLED); - GetTaskManagerWithoutMu().FailPendingTask(task_spec.TaskId(), - rpc::ErrorType::TASK_CANCELLED, - /*status*/ nullptr, - &error_info); + task_manager_.FailPendingTask(task_spec.TaskId(), + rpc::ErrorType::TASK_CANCELLED, + /*status*/ nullptr, + &error_info); } else { bool is_actor_dead = false; bool fail_immediately = false; @@ -698,8 +698,8 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto &queue = queue_pair->second; // If the actor is already dead, immediately mark the task object as failed. - // Otherwise, start the grace period, waiting for the actor death reason. Before the - // deadline: + // Otherwise, start the grace period, waiting for the actor death reason. Before + // the deadline: // - If we got the death reason: mark the object as failed with that reason. // - If we did not get the death reason: raise ACTOR_UNAVAILABLE with the status. // - If we did not get the death reason, but *the actor is preempted*: raise @@ -712,8 +712,8 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, error_info.actor_died_error().has_oom_context() && error_info.actor_died_error().oom_context().fail_immediately(); } else { - // The actor may or may not be dead, but the request failed. Consider the failure - // temporary. May recognize retry, so fail_immediately = false. + // The actor may or may not be dead, but the request failed. Consider the + // failure temporary. May recognize retry, so fail_immediately = false. error_info.set_error_message("The actor is temporarily unavailable: " + status.ToString()); error_info.set_error_type(rpc::ErrorType::ACTOR_UNAVAILABLE); @@ -725,25 +725,25 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, // this first. CancelDependencyResolution(task_id); - will_retry = GetTaskManagerWithoutMu().FailOrRetryPendingTask( - task_id, - error_info.error_type(), - &status, - &error_info, - /*mark_task_object_failed*/ is_actor_dead, - fail_immediately); + will_retry = + task_manager_.FailOrRetryPendingTask(task_id, + error_info.error_type(), + &status, + &error_info, + /*mark_task_object_failed*/ is_actor_dead, + fail_immediately); if (!is_actor_dead && !will_retry) { // Ran out of retries, last failure = either user exception or actor death. if (status.ok()) { // last failure = user exception, just complete it with failure. RAY_CHECK(reply.is_retryable_error()); - GetTaskManagerWithoutMu().CompletePendingTask( + task_manager_.CompletePendingTask( task_id, reply, addr, reply.is_application_error()); } else if (RayConfig::instance().timeout_ms_task_wait_for_death_info() != 0) { - // last failure = Actor death, but we still see the actor "alive" so we optionally - // wait for a grace period for the death info. + // last failure = Actor death, but we still see the actor "alive" so we + // optionally wait for a grace period for the death info. int64_t death_info_grace_period_ms = current_time_ms() + @@ -767,7 +767,7 @@ void ActorTaskSubmitter::HandlePushTaskReply(const Status &status, auto queue_pair = client_queues_.find(actor_id); RAY_CHECK(queue_pair != client_queues_.end()); } - GetTaskManagerWithoutMu().FailPendingTask( + task_manager_.FailPendingTask( task_spec.TaskId(), error_info.error_type(), &status, &error_info); } } @@ -879,8 +879,8 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) // Shouldn't hold a lock while accessing task_manager_. // Task is already canceled or finished. - GetTaskManagerWithoutMu().MarkTaskCanceled(task_id); - if (!GetTaskManagerWithoutMu().IsTaskPending(task_id)) { + task_manager_.MarkTaskCanceled(task_id); + if (!task_manager_.IsTaskPending(task_id)) { RAY_LOG(DEBUG).WithField(task_id) << "Task is already finished or canceled"; return; } @@ -920,7 +920,7 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) << " before it executes."; error_info.set_error_message(stream.str()); error_info.set_error_type(rpc::ErrorType::TASK_CANCELLED); - GetTaskManagerWithoutMu().FailOrRetryPendingTask( + task_manager_.FailOrRetryPendingTask( task_id, rpc::ErrorType::TASK_CANCELLED, /*status*/ nullptr, &error_info); return; } @@ -958,7 +958,7 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) // Keep retrying every 2 seconds until a task is officially // finished. - if (!GetTaskManagerWithoutMu().GetTaskSpec(task_id)) { + if (!task_manager_.GetTaskSpec(task_id)) { // Task is already finished. RAY_LOG(DEBUG).WithField(task_spec.TaskId()) << "Task is finished. Stop a cancel request."; diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index a07591d582b7..9eb41a90298b 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -254,14 +254,6 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { status_(std::move(status)), timeout_error_info_(std::move(timeout_error_info)) {} }; - /// A helper function to get task manager without holding mu_ - /// We should use this function when access - /// - FailOrRetryPendingTask - /// - FailPendingTask - TaskManagerInterface &GetTaskManagerWithoutMu() { - mu_.AssertNotHeld(); - return task_manager_; - } struct ClientQueue { ClientQueue(bool allow_out_of_order_execution, diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 7923893880c9..d0837518bfa9 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -156,7 +156,7 @@ class CoreWorkerTest : public ::testing::Test { *memory_store_, *reference_counter_, [](const RayObject &object, const ObjectID &object_id) { return Status::OK(); }, - [](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) {}, + [](TaskSpecification &spec, uint32_t delay_ms) {}, [](const TaskSpecification &spec) { return false; }, [](const JobID &job_id, const std::string &type, diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index d99915cbef1d..63215f0d1eb6 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -163,11 +163,9 @@ class TaskManagerTest : public ::testing::Test { stored_in_plasma.insert(object_id); return Status::OK(); }, - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + [this](TaskSpecification &spec, uint32_t delay_ms) { num_retries_++; last_delay_ms_ = delay_ms; - last_object_recovery_ = object_recovery; - return Status::OK(); }, [this](const TaskSpecification &spec) { return this->did_queue_generator_resubmit_; @@ -228,7 +226,6 @@ class TaskManagerTest : public ::testing::Test { TaskManager manager_; int num_retries_ = 0; uint32_t last_delay_ms_ = 0; - bool last_object_recovery_ = false; std::unordered_set stored_in_plasma; ray::observability::FakeMetric fake_task_by_state_counter_; }; @@ -446,7 +443,6 @@ TEST_F(TaskManagerTest, TestTaskReconstruction) { ASSERT_FALSE(store_->Get({return_id}, 1, 0, ctx, false, &results).ok()); ASSERT_EQ(num_retries_, i + 1); ASSERT_EQ(last_delay_ms_, RayConfig::instance().task_retry_delay_ms()); - ASSERT_EQ(last_object_recovery_, false); } manager_.FailOrRetryPendingTask(spec.TaskId(), error); @@ -581,13 +577,11 @@ TEST_F(TaskManagerTest, TestTaskOomAndNonOomKillReturnsLastError) { manager_.FailOrRetryPendingTask(spec.TaskId(), error); ASSERT_EQ(num_retries_, 1); ASSERT_EQ(last_delay_ms_, RayConfig::instance().task_oom_retry_delay_base_ms()); - ASSERT_EQ(last_object_recovery_, false); error = rpc::ErrorType::WORKER_DIED; manager_.FailOrRetryPendingTask(spec.TaskId(), error); ASSERT_EQ(num_retries_, 2); ASSERT_EQ(last_delay_ms_, RayConfig::instance().task_retry_delay_ms()); - ASSERT_EQ(last_object_recovery_, false); error = rpc::ErrorType::WORKER_DIED; manager_.FailOrRetryPendingTask(spec.TaskId(), error); @@ -1089,7 +1083,6 @@ TEST_F(TaskManagerLineageTest, TestResubmitTask) { ASSERT_EQ(resubmitted_task_deps, spec.GetDependencyIds()); ASSERT_EQ(num_retries_, 1); ASSERT_EQ(last_delay_ms_, 0); - ASSERT_EQ(last_object_recovery_, true); resubmitted_task_deps.clear(); // The return ID goes out of scope. @@ -1153,7 +1146,6 @@ TEST_F(TaskManagerLineageTest, TestResubmittedTaskNondeterministicReturns) { ASSERT_EQ(manager_.ResubmitTask(spec.TaskId(), &resubmitted_task_deps), std::nullopt); ASSERT_EQ(num_retries_, 1); ASSERT_EQ(last_delay_ms_, 0); - ASSERT_EQ(last_object_recovery_, true); // The re-executed task completes again. One of the return objects is now // returned directly. @@ -1218,7 +1210,6 @@ TEST_F(TaskManagerLineageTest, TestResubmittedTaskFails) { ASSERT_EQ(manager_.ResubmitTask(spec.TaskId(), &resubmitted_task_deps), std::nullopt); ASSERT_EQ(num_retries_, 1); ASSERT_EQ(last_delay_ms_, 0); - ASSERT_EQ(last_object_recovery_, true); // The re-executed task fails due to worker crashed. { @@ -1339,7 +1330,6 @@ TEST_F(TaskManagerLineageTest, TestResubmittedDynamicReturnsTaskFails) { ASSERT_EQ(manager_.ResubmitTask(spec.TaskId(), &resubmitted_task_deps), std::nullopt); ASSERT_EQ(num_retries_, 1); ASSERT_EQ(last_delay_ms_, 0); - ASSERT_EQ(last_object_recovery_, true); // Dereference the generator to a list of its internal ObjectRefs. for (const auto &dynamic_return_id : dynamic_return_ids) { @@ -1395,11 +1385,9 @@ TEST_F(TaskManagerTest, PlasmaPut_ObjectStoreFull_FailsTaskAndWritesError) { [](const RayObject &, const ObjectID &) { return Status::ObjectStoreFull("simulated"); }, - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + [this](TaskSpecification &spec, uint32_t delay_ms) { num_retries_++; last_delay_ms_ = delay_ms; - last_object_recovery_ = object_recovery; - return Status::OK(); }, [this](const TaskSpecification &spec) { return this->did_queue_generator_resubmit_; @@ -1459,11 +1447,9 @@ TEST_F(TaskManagerTest, PlasmaPut_TransientFull_RetriesThenSucceeds) { } return Status::OK(); }, - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + [this](TaskSpecification &spec, uint32_t delay_ms) { num_retries_++; last_delay_ms_ = delay_ms; - last_object_recovery_ = object_recovery; - return Status::OK(); }, [this](const TaskSpecification &spec) { return this->did_queue_generator_resubmit_; @@ -1521,11 +1507,9 @@ TEST_F(TaskManagerTest, DynamicReturn_PlasmaPutFailure_FailsTaskImmediately) { } return Status::OK(); }, - [this](TaskSpecification &spec, bool object_recovery, uint32_t delay_ms) { + [this](TaskSpecification &spec, uint32_t delay_ms) { num_retries_++; last_delay_ms_ = delay_ms; - last_object_recovery_ = object_recovery; - return Status::OK(); }, [this](const TaskSpecification &spec) { return this->did_queue_generator_resubmit_; From e672f31395ad7a2a39eda70a6be21255a9077db5 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Tue, 9 Sep 2025 13:04:15 -0700 Subject: [PATCH 1125/1566] [serve] Explicitly close `choose_replicas_with_backoff` async generator (#56357) ## Why are these changes needed? This async generator isn't closed/consumed because it's infinitely looping by design. Therefore a new async task will be created to close it if we don't explicitly call `.aclose()` to close it. Let's call `.aclose()` to minimize the number of async tasks created. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- .../_private/request_router/request_router.py | 76 ++++++++++--------- 1 file changed, 41 insertions(+), 35 deletions(-) diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index 2d95689d5b41..4002ee4540c0 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -979,46 +979,52 @@ async def _fulfill_pending_requests(self): backoff_index = 0 pending_request = self._get_next_pending_request_to_route() request_metadata = pending_request.metadata if pending_request else None - async for candidates in self._choose_replicas_with_backoff( + gen_choose_replicas_with_backoff = self._choose_replicas_with_backoff( pending_request - ): - # Clear out pending requests at the front of the - # queue that have been cancelled, then reevaluate - # if we need to continue this routing task. - while ( - len(self._pending_requests_to_fulfill) > 0 - and self._pending_requests_to_fulfill[0].future.done() - ): - self._pending_requests_to_fulfill.popleft() - - if len(self._routing_tasks) > self.target_num_routing_tasks: - break - - replica = await self._select_from_candidate_replicas( - candidates, backoff_index - ) - if replica is not None: - self._fulfill_next_pending_request(replica, request_metadata) - break - - backoff_index += 1 - if backoff_index >= 50 and backoff_index % 50 == 0: - routing_time_elapsed = time.time() - start_time - warning_log = ( - "Failed to route request after " - f"{backoff_index} attempts over " - f"{routing_time_elapsed:.2f}s. Retrying." + ) + try: + async for candidates in gen_choose_replicas_with_backoff: + # Clear out pending requests at the front of the + # queue that have been cancelled, then reevaluate + # if we need to continue this routing task. + while ( + len(self._pending_requests_to_fulfill) > 0 + and self._pending_requests_to_fulfill[0].future.done() + ): + self._pending_requests_to_fulfill.popleft() + + if len(self._routing_tasks) > self.target_num_routing_tasks: + break + + replica = await self._select_from_candidate_replicas( + candidates, backoff_index ) - if request_metadata is not None: - warning_log += ( - f" Request ID: {request_metadata.request_id}." + if replica is not None: + self._fulfill_next_pending_request( + replica, request_metadata + ) + break + + backoff_index += 1 + if backoff_index >= 50 and backoff_index % 50 == 0: + routing_time_elapsed = time.time() - start_time + warning_log = ( + "Failed to route request after " + f"{backoff_index} attempts over " + f"{routing_time_elapsed:.2f}s. Retrying." ) - if request_metadata.multiplexed_model_id: + if request_metadata is not None: warning_log += ( - " Multiplexed model ID: " - f"{request_metadata.multiplexed_model_id}." + f" Request ID: {request_metadata.request_id}." ) - logger.warning(warning_log) + if request_metadata.multiplexed_model_id: + warning_log += ( + " Multiplexed model ID: " + f"{request_metadata.multiplexed_model_id}." + ) + logger.warning(warning_log) + finally: + await gen_choose_replicas_with_backoff.aclose() except Exception: logger.exception("Unexpected error in _fulfill_pending_requests.") From 17781c26e45b4a913f07adeaa537fec3407bbeed Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 9 Sep 2025 13:51:06 -0700 Subject: [PATCH 1126/1566] [Data] Add `max_task_concurrency`, `min_scheduling_resources`, and `per_task_resource_allocation` (#56381) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Adds three new methods to the PhysicalOperator interface to clarify resource usage and scheduling semantics: * `per_task_resource_allocation` – logical resources required per task (task-level granularity). * `max_task_concurrency` – maximum number of tasks allowed to run concurrently, if the operator enforces one. * `min_scheduling_resources` – minimum resource bundle required to schedule a worker (e.g., task vs. actor). These methods provide a clearer contract for how operators declare resource requirements, making scheduling behavior easier to reason about and extend. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../execution/interfaces/physical_operator.py | 34 +++++++++++++++++++ .../operators/actor_pool_map_operator.py | 16 +++++++++ .../operators/task_pool_map_operator.py | 13 +++++++ 3 files changed, 63 insertions(+) diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index 12f7242aa3c8..c3a7b429813e 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -402,6 +402,40 @@ def _get_logical_args(self) -> Dict[str, Dict[str, Any]]: res[logical_op_id] = logical_op._get_args() return res + # TODO(@balaji): Disambiguate this with `incremental_resource_usage`. + def per_task_resource_allocation( + self: "PhysicalOperator", + ) -> ExecutionResources: + """The amount of logical resources used by each task. + + For regular tasks, these are the resources required to schedule a task. For + actor tasks, these are the resources required to schedule an actor divided by + the number of actor threads (i.e., `max_concurrency`). + + Returns: + The resource requirement per task. + """ + return ExecutionResources.zero() + + def max_task_concurrency(self: "PhysicalOperator") -> Optional[int]: + """The maximum number of tasks that can be run concurrently. + + Some operators manually configure a maximum concurrency. For example, if you + specify `concurrency` in `map_batches`. + """ + return None + + # TODO(@balaji): Disambiguate this with `base_resource_usage`. + def min_scheduling_resources( + self: "PhysicalOperator", + ) -> ExecutionResources: + """The minimum resource bundle required to schedule a worker. + + For regular tasks, this is the resources required to schedule a task. For actor + tasks, this is the resources required to schedule an actor. + """ + return ExecutionResources.zero() + def progress_str(self) -> str: """Return any extra status to be displayed in the operator progress bar. diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index c79350dcedfe..3080f460bb6d 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -478,6 +478,22 @@ def _apply_default_remote_args( def get_autoscaling_actor_pools(self) -> List[AutoscalingActorPool]: return [self._actor_pool] + def per_task_resource_allocation( + self: "PhysicalOperator", + ) -> ExecutionResources: + max_concurrency = self._ray_remote_args.get("max_concurrency", 1) + per_actor_resource_usage = self._actor_pool.per_actor_resource_usage() + return per_actor_resource_usage.scale(1 / max_concurrency) + + def max_task_concurrency(self: "PhysicalOperator") -> Optional[int]: + max_concurrency = self._ray_remote_args.get("max_concurrency", 1) + return max_concurrency * self._actor_pool.max_size() + + def min_scheduling_resources( + self: "PhysicalOperator", + ) -> ExecutionResources: + return self._actor_pool.per_actor_resource_usage() + def update_resource_usage(self) -> None: """Updates resources usage.""" for actor in self._actor_pool.get_running_actor_refs(): diff --git a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py index 3ec90eb32f71..a46b44cf2bbe 100644 --- a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py @@ -140,6 +140,19 @@ def incremental_resource_usage(self) -> ExecutionResources: or 0, ) + def per_task_resource_allocation( + self: "PhysicalOperator", + ) -> ExecutionResources: + return self.incremental_resource_usage() + + def max_task_concurrency(self: "PhysicalOperator") -> Optional[int]: + return self._concurrency + + def min_scheduling_resources( + self: "PhysicalOperator", + ) -> ExecutionResources: + return self.incremental_resource_usage() + def get_concurrency(self) -> Optional[int]: return self._concurrency From b178277d9f4b3025e4d0e31216eed29c2e5bcf0a Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 9 Sep 2025 13:51:24 -0700 Subject: [PATCH 1127/1566] [Data] Add hash and `to_resource_dict` to `ExecutionResources` (#56383) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? This PR adds two utility methods to `ExecutionResources`: * `__hash__` – allows `ExecutionResources` to be effectively stored in sets or used as dictionary keys. * `to_resource_dict` – converts the object into a resource dictionary for interoperability with the autoscaler SDK and other components that expect that resource format. These improvements make `ExecutionResources` easier to use in scheduling and autoscaling components. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../execution/interfaces/execution_options.py | 19 +++++++++++++++++++ .../test_executor_resource_management.py | 10 ++++++++++ 2 files changed, 29 insertions(+) diff --git a/python/ray/data/_internal/execution/interfaces/execution_options.py b/python/ray/data/_internal/execution/interfaces/execution_options.py index 0485a12ec68c..3edfa2dceda5 100644 --- a/python/ray/data/_internal/execution/interfaces/execution_options.py +++ b/python/ray/data/_internal/execution/interfaces/execution_options.py @@ -49,6 +49,15 @@ def from_resource_dict( memory=resource_dict.get("memory", None), ) + def to_resource_dict(self) -> Dict[str, float]: + """Convert this ExecutionResources object to a resource dict.""" + return { + "CPU": self.cpu, + "GPU": self.gpu, + "object_store_memory": self.object_store_memory, + "memory": self.memory, + } + @classmethod def for_limits( cls, @@ -102,6 +111,16 @@ def __eq__(self, other: "ExecutionResources") -> bool: and self.memory == other.memory ) + def __hash__(self) -> int: + return hash( + ( + self.cpu, + self.gpu, + self.object_store_memory, + self.memory, + ) + ) + @classmethod def zero(cls) -> "ExecutionResources": """Returns an ExecutionResources object with zero resources.""" diff --git a/python/ray/data/tests/test_executor_resource_management.py b/python/ray/data/tests/test_executor_resource_management.py index 73e5a23326fb..3a2836cce545 100644 --- a/python/ray/data/tests/test_executor_resource_management.py +++ b/python/ray/data/tests/test_executor_resource_management.py @@ -581,6 +581,16 @@ def test_output_splitter_resource_reporting(ray_start_10_cpus_shared): assert op.metrics.obj_store_mem_internal_outqueue == 0 +def test_execution_resources_to_resource_dict(): + resources = ExecutionResources(cpu=1, gpu=2, object_store_memory=3, memory=4) + assert resources.to_resource_dict() == { + "CPU": 1, + "GPU": 2, + "object_store_memory": 3, + "memory": 4, + } + + if __name__ == "__main__": import sys From ebb39633d3ff35d4d7c3df341c6ece9128511621 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 9 Sep 2025 13:58:59 -0700 Subject: [PATCH 1128/1566] [Core] Rewrite JobManager _monitor_job_internal to fix hanging issue and wrong job failure reason issue (#56296) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/job/common.py | 17 ++- .../ray/dashboard/modules/job/job_manager.py | 99 ++++++-------- .../modules/job/tests/test_job_manager.py | 128 ++++++++++-------- 3 files changed, 127 insertions(+), 117 deletions(-) diff --git a/python/ray/dashboard/modules/job/common.py b/python/ray/dashboard/modules/job/common.py index 3f205e6478d2..4466740f0ed8 100644 --- a/python/ray/dashboard/modules/job/common.py +++ b/python/ray/dashboard/modules/job/common.py @@ -260,7 +260,11 @@ def __init__( ) async def put_info( - self, job_id: str, job_info: JobInfo, overwrite: bool = True + self, + job_id: str, + job_info: JobInfo, + overwrite: bool = True, + timeout: Optional[int] = 30, ) -> bool: """Put job info to the internal kv store. @@ -268,6 +272,7 @@ async def put_info( job_id: The job id. job_info: The job info. overwrite: Whether to overwrite the existing job info. + timeout: The timeout in seconds for the GCS operation. Returns: True if a new key is added. @@ -277,6 +282,7 @@ async def put_info( json.dumps(job_info.to_json()).encode(), overwrite, namespace=ray_constants.KV_NAMESPACE_JOB, + timeout=timeout, ) if added_num == 1 or overwrite: # Write export event if data was updated in the KV store @@ -353,10 +359,11 @@ async def put_status( driver_exit_code: Optional[int] = None, error_type: Optional[JobErrorType] = None, jobinfo_replace_kwargs: Optional[Dict[str, Any]] = None, + timeout: Optional[int] = 30, ): """Puts or updates job status. Sets end_time if status is terminal.""" - old_info = await self.get_info(job_id) + old_info = await self.get_info(job_id, timeout=timeout) if jobinfo_replace_kwargs is None: jobinfo_replace_kwargs = dict() @@ -378,10 +385,10 @@ async def put_status( if status.is_terminal(): new_info.end_time = int(time.time() * 1000) - await self.put_info(job_id, new_info) + await self.put_info(job_id, new_info, timeout=timeout) - async def get_status(self, job_id: str) -> Optional[JobStatus]: - job_info = await self.get_info(job_id) + async def get_status(self, job_id: str, timeout: int = 30) -> Optional[JobStatus]: + job_info = await self.get_info(job_id, timeout) if job_info is None: return None else: diff --git a/python/ray/dashboard/modules/job/job_manager.py b/python/ray/dashboard/modules/job/job_manager.py index 142d8d521fb0..22692757e4eb 100644 --- a/python/ray/dashboard/modules/job/job_manager.py +++ b/python/ray/dashboard/modules/job/job_manager.py @@ -43,11 +43,6 @@ logger = logging.getLogger(__name__) -RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES = ray_constants.env_integer( - "RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES", 5 -) - - def generate_job_id() -> str: """Returns a job_id of the form 'raysubmit_XYZ'. @@ -166,12 +161,11 @@ async def _monitor_job_internal( ) ) - should_monitor = True - num_consecutive_failures = 0 - job_status = None + job_info = None + ping_obj_ref = None - while should_monitor: + while True: try: # NOTE: Job monitoring loop sleeps before proceeding with monitoring # sequence to consolidate the control-flow of the pacing @@ -179,12 +173,17 @@ async def _monitor_job_internal( # many branches await asyncio.sleep(self.JOB_MONITOR_LOOP_PERIOD_S) - job_status = await self._job_info_client.get_status(job_id) + job_status = await self._job_info_client.get_status( + job_id, timeout=None + ) if job_status == JobStatus.PENDING: # Compare the current time with the job start time. # If the job is still pending, we will set the status # to FAILED. - job_info = await self._job_info_client.get_info(job_id) + if job_info is None: + job_info = await self._job_info_client.get_info( + job_id, timeout=None + ) if time.time() - job_info.start_time / 1000 > timeout: err_msg = ( @@ -226,10 +225,10 @@ async def _monitor_job_internal( JobStatus.FAILED, message=err_msg, error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_TIMEOUT, + timeout=None, ) - should_monitor = False logger.error(err_msg) - continue + break if job_supervisor is None: job_supervisor = self._get_actor_for_job(job_id) @@ -253,22 +252,31 @@ async def _monitor_job_internal( "failed to get job supervisor." ), error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_FAILURE, + timeout=None, ) - should_monitor = False - continue - - # Verify `JobSupervisor` is alive and reachable - await job_supervisor.ping.remote() - # Reset consecutive failures counter - num_consecutive_failures = 0 + break + + # Check to see if `JobSupervisor` is alive and reachable + if ping_obj_ref is None: + ping_obj_ref = job_supervisor.ping.options( + max_task_retries=-1 + ).remote() + ready, _ = ray.wait([ping_obj_ref], timeout=0) + if ready: + ray.get(ping_obj_ref) + ping_obj_ref = None + else: + continue except Exception as e: + job_status = await self._job_info_client.get_status( + job_id, timeout=None + ) target_job_error_message = "" target_job_error_type: Optional[JobErrorType] = None if job_status is not None and job_status.is_terminal(): # If the job is already in a terminal state, then the actor # exiting is expected. - should_monitor = False pass else: if isinstance(e, RuntimeEnvSetupError): @@ -296,46 +304,27 @@ async def _monitor_job_internal( target_job_error_type = JobErrorType.JOB_SUPERVISOR_ACTOR_DIED else: - logger.warning( + logger.error( f"Job monitoring for job {job_id} failed " f"unexpectedly: {e}.", exc_info=e, ) - if ( - num_consecutive_failures - < RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES - ): - num_consecutive_failures += 1 - continue - else: - logger.error( - f"Job monitoring failed more than " - f"{RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES} " - f"times, marking job as failed", - exc_info=e, - ) - - target_job_error_message = f"Unexpected error occurred: {e}" - target_job_error_type = ( - JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE - ) - - # If target job error message is set it entails that the job ought - # to be marked as failed (and terminated) - if target_job_error_message: - # Terminate monitoring loop - should_monitor = False - - job_status = JobStatus.FAILED - await self._job_info_client.put_status( - job_id, - job_status, - message=target_job_error_message, - error_type=target_job_error_type - or JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, + target_job_error_message = f"Unexpected error occurred: {e}" + target_job_error_type = ( + JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE ) + job_status = JobStatus.FAILED + await self._job_info_client.put_status( + job_id, + job_status, + message=target_job_error_message, + error_type=target_job_error_type + or JobErrorType.JOB_SUPERVISOR_ACTOR_UNKNOWN_FAILURE, + timeout=None, + ) + # Log error message to the job driver file for easy access. if target_job_error_message: log_path = self._log_client.get_log_file_path(job_id) @@ -354,6 +343,8 @@ async def _monitor_job_internal( else: self.event_logger.info(event_log, submission_id=job_id) + break + # Kill the actor defensively to avoid leaking actors in unexpected error cases. if job_supervisor is not None: ray.kill(job_supervisor, no_restart=True) diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index e106ef8cf0a2..8f6c37d73d13 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -5,7 +5,6 @@ import tempfile import time import urllib.request -from unittest.mock import AsyncMock from uuid import uuid4 import pytest @@ -29,7 +28,6 @@ ) from ray.dashboard.modules.job.common import JOB_ID_METADATA_KEY, JOB_NAME_METADATA_KEY from ray.dashboard.modules.job.job_manager import ( - RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES, JobLogStorageClient, JobManager, JobSupervisor, @@ -40,7 +38,6 @@ create_job_manager, create_ray_cluster, ) -from ray.exceptions import RpcError from ray.job_submission import JobErrorType, JobStatus from ray.tests.conftest import call_ray_start # noqa: F401 from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy # noqa: F401 @@ -354,6 +351,37 @@ async def test_runtime_env_setup_logged_to_job_driver_logs( assert start_message in logs +@pytest.mark.asyncio +@pytest.mark.parametrize( + "call_ray_start", + [ + { + "cmd": "ray start --head", + "env": { + "RAY_testing_rpc_failure": "ray::rpc::InternalKVGcsService.grpc_client.InternalKVGet=2:50:50,CoreWorkerService.grpc_client.PushTask=3:50:50" + }, + }, + ], + indirect=True, +) +async def test_job_manager_network_fault_tolerance( + call_ray_start, tmp_path # noqa: F811 +): + """Test that the job manager is tolerant to transient network failures + when making RPCs to GCS and supervisor actor.""" + + ray.init(address=call_ray_start) + gcs_client = ray._private.worker.global_worker.gcs_client + job_manager = JobManager(gcs_client, tmp_path) + + job_id = await job_manager.submit_job( + entrypoint="echo hello 1", + ) + await async_wait_for_condition( + check_job_succeeded, job_manager=job_manager, job_id=job_id + ) + + @pytest.fixture def shared_ray_instance(): # Remove ray address for test ray cluster in case we have @@ -1355,6 +1383,44 @@ async def test_monitor_job_pending(job_manager): ) +@pytest.mark.asyncio +@pytest.mark.parametrize( + "call_ray_start", + ["ray start --head --num-cpus=1"], + indirect=True, +) +async def test_job_timeout_lack_of_entrypoint_resources( + call_ray_start, tmp_path, monkeypatch # noqa: F811 +): + """Test the timeout when there are not enough resources to schedule the supervisor actor)""" + + monkeypatch.setenv(RAY_JOB_START_TIMEOUT_SECONDS_ENV_VAR, "1") + + ray.init(address=call_ray_start) + gcs_client = ray._private.worker.global_worker.gcs_client + job_manager = JobManager(gcs_client, tmp_path) + + # Submit a job with unsatisfied resource. + job_id = await job_manager.submit_job( + entrypoint="echo 'hello world'", + entrypoint_num_cpus=2, + ) + + # Wait for the job to timeout. + await async_wait_for_condition( + check_job_failed, + job_manager=job_manager, + job_id=job_id, + expected_error_type=JobErrorType.JOB_SUPERVISOR_ACTOR_START_TIMEOUT, + ) + + # Check that the job timed out. + job_info = await job_manager.get_job_info(job_id) + assert job_info.status == JobStatus.FAILED + assert "Job supervisor actor failed to start within" in job_info.message + assert job_info.driver_exit_code is None + + @pytest.mark.asyncio async def test_job_pending_timeout(job_manager, monkeypatch): """Test the timeout for pending jobs.""" @@ -1444,6 +1510,7 @@ async def test_actor_creation_error_not_overwritten(shared_ray_instance, tmp_pat assert data.driver_exit_code is None +@pytest.mark.asyncio async def test_no_task_events_exported(shared_ray_instance, tmp_path): """Verify that no task events are exported by the JobSupervisor.""" job_manager = create_job_manager(shared_ray_instance, tmp_path) @@ -1460,60 +1527,5 @@ async def test_no_task_events_exported(shared_ray_instance, tmp_path): assert "JobSupervisor" not in t.name -@pytest.mark.parametrize( - "max_failures,expected_job_status", - [ - (RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES - 1, JobStatus.SUCCEEDED), - (RAY_JOB_MANAGER_MONITOR_MAX_CONSECUTIVE_FAILURES + 1, JobStatus.FAILED), - ], -) -async def test_job_manager_tolerates_gcs_failures( - job_manager, max_failures, expected_job_status -): - """Test driver exit code from finished task that failed""" - - original_get_info = job_manager._job_info_client.get_info - - num_failures = 0 - - async def _failing_get_info(*args, **kwargs): - nonlocal num_failures - - if num_failures < max_failures: - num_failures += 1 - raise RpcError("deadline exceeded") - else: - return await original_get_info(*args, **kwargs) - - # Mock out `JobManager._job_info_client` - job_manager._job_info_client.get_info = AsyncMock(side_effect=_failing_get_info) - - # Override `JobManager`s monitoring frequency to 100ms - job_manager.JOB_MONITOR_LOOP_PERIOD_S = 0.1 - - # Simulate job running for 5 seconds - job_id = await job_manager.submit_job(entrypoint="sleep 3; echo 'hello world'") - - if expected_job_status == JobStatus.FAILED: - expected_job_state_check = _check_job_failed - elif expected_job_status == JobStatus.SUCCEEDED: - expected_job_state_check = _check_job_succeeded - else: - raise NotImplementedError(f"unexpected job status: {expected_job_status}") - - # Wait for the job to reach expected target state - await async_wait_for_condition( - expected_job_state_check, - timeout=10, - get_job_info=original_get_info, - job_id=job_id, - ) - - # Check that the job failed - job_info = await job_manager.get_job_info(job_id) - - assert job_info.status == expected_job_status - - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From da09950e30edc400d287f731820adfaab33354e4 Mon Sep 17 00:00:00 2001 From: gangsf Date: Tue, 9 Sep 2025 16:35:04 -0700 Subject: [PATCH 1129/1566] [Core] Add S3 public bucket fallback to handle NoCredentialsError (#56334) Signed-off-by: Gang Zhao Co-authored-by: Gang Zhao Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/protocol.py | 15 ++- .../ray/tests/test_runtime_env_packaging.py | 93 +++++++++++++++++++ 2 files changed, 107 insertions(+), 1 deletion(-) diff --git a/python/ray/_private/runtime_env/protocol.py b/python/ray/_private/runtime_env/protocol.py index 12d562c6159a..663e9d4366da 100644 --- a/python/ray/_private/runtime_env/protocol.py +++ b/python/ray/_private/runtime_env/protocol.py @@ -58,7 +58,20 @@ def _handle_s3_protocol(cls): "to fetch URIs in s3 bucket. " + cls._MISSING_DEPENDENCIES_WARNING ) - transport_params = {"client": boto3.client("s3")} + # Create S3 client, falling back to unsigned for public buckets + session = boto3.Session() + # session.get_credentials() will return None if no credentials can be found. + if session.get_credentials(): + # If credentials are found, use a standard signed client. + s3_client = session.client("s3") + else: + # No credentials found, fall back to an unsigned client for public buckets. + from botocore import UNSIGNED + from botocore.config import Config + + s3_client = boto3.client("s3", config=Config(signature_version=UNSIGNED)) + + transport_params = {"client": s3_client} return open_file, transport_params @classmethod diff --git a/python/ray/tests/test_runtime_env_packaging.py b/python/ray/tests/test_runtime_env_packaging.py index 98e72caf4f07..8c015f8bf76e 100644 --- a/python/ray/tests/test_runtime_env_packaging.py +++ b/python/ray/tests/test_runtime_env_packaging.py @@ -676,6 +676,99 @@ def test_abfss_protocol_handler_with_invalid_uris(self, tmp_path): Protocol.ABFSS.download_remote_uri(invalid_uri, str(dest_file)) +class TestS3Protocol: + """Test S3 protocol implementation with public bucket fallback.""" + + def test_s3_client_creation_with_credentials(self): + """Test S3 client creation when credentials are available.""" + import sys + import unittest.mock as mock + + # Mock boto3 and smart_open modules + mock_boto3 = mock.MagicMock() + mock_smart_open = mock.MagicMock() + + # Setup successful credential scenario + mock_session = mock.MagicMock() + mock_s3_client = mock.MagicMock() + mock_credentials = mock.MagicMock() # Non-None credentials + + mock_boto3.Session.return_value = mock_session + mock_session.get_credentials.return_value = mock_credentials + mock_session.client.return_value = mock_s3_client + + with mock.patch.dict( + sys.modules, + { + "boto3": mock_boto3, + "smart_open": mock_smart_open, + }, + ): + mock_smart_open.open = mock.MagicMock() + + from ray._private.runtime_env.protocol import ProtocolsProvider + + open_file, transport_params = ProtocolsProvider._handle_s3_protocol() + + # Verify that Session was created and get_credentials was called + mock_boto3.Session.assert_called_once() + mock_session.get_credentials.assert_called_once() + # Verify that session.client was called to create signed S3 client + mock_session.client.assert_called_with("s3") + # Verify that the signed client is returned + assert transport_params["client"] == mock_s3_client + + def test_s3_client_creation_without_credentials(self): + """Test S3 client creation falls back to unsigned when no credentials.""" + import sys + import unittest.mock as mock + + # Mock boto3 and botocore modules + mock_boto3 = mock.MagicMock() + mock_botocore = mock.MagicMock() + mock_smart_open = mock.MagicMock() + + # Setup no credentials scenario + mock_session = mock.MagicMock() + mock_unsigned_client = mock.MagicMock() + + mock_boto3.Session.return_value = mock_session + mock_session.get_credentials.return_value = None # No credentials found + mock_boto3.client.return_value = mock_unsigned_client + + # Mock Config and UNSIGNED + mock_config_class = mock.MagicMock() + mock_config = mock.MagicMock() + mock_config_class.return_value = mock_config + mock_botocore.config.Config = mock_config_class + mock_botocore.UNSIGNED = "UNSIGNED" + + with mock.patch.dict( + sys.modules, + { + "boto3": mock_boto3, + "botocore": mock_botocore, + "botocore.config": mock_botocore.config, + "smart_open": mock_smart_open, + }, + ): + mock_smart_open.open = mock.MagicMock() + + from ray._private.runtime_env.protocol import ProtocolsProvider + + open_file, transport_params = ProtocolsProvider._handle_s3_protocol() + + # Verify that Session was created and get_credentials was called + mock_boto3.Session.assert_called_once() + mock_session.get_credentials.assert_called_once() + # Verify that boto3.client was called for unsigned client with config + mock_boto3.client.assert_called_with("s3", config=mock_config) + # Verify Config was created with UNSIGNED signature + mock_config_class.assert_called_with(signature_version="UNSIGNED") + # Verify that the unsigned client is returned + assert transport_params["client"] == mock_unsigned_client + + @pytest.mark.asyncio class TestDownloadAndUnpackPackage: async def test_download_and_unpack_package_with_gcs_uri_without_gcs_client( From 75dd5e76dcb509bb8c9601c7e2c6c31b27dc9248 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 9 Sep 2025 17:40:22 -0700 Subject: [PATCH 1130/1566] [release-test] Disable `drop_last` flag to fix division by zero in torch dataloader baselines (#56395) https://github.com/ray-project/ray/pull/56343 refactored some code for torch dataloader creation but introduced a bug when it came to the validation dataset throughput calculation. This happened because `drop_last=True` became the default setting, which would cause the validation dataset to be empty since it's small enough and spread across enough workers so that we couldn't form a single full batch. This PR fixes the issue by setting `drop_last=False`. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- release/train_tests/benchmark/runner.py | 1 + release/train_tests/benchmark/torch_dataloader_factory.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/release/train_tests/benchmark/runner.py b/release/train_tests/benchmark/runner.py index ab20c9205a40..5c87f41674bf 100644 --- a/release/train_tests/benchmark/runner.py +++ b/release/train_tests/benchmark/runner.py @@ -201,6 +201,7 @@ def _validate_epoch(self) -> Dict[str, float]: self._metrics["validation/rows_processed"].add( self.benchmark_config.dataloader_config.validation_batch_size ) + assert num_rows > 0, "Validation dataset yielded no batches." return {"validation/loss": total_loss.item() / num_rows} diff --git a/release/train_tests/benchmark/torch_dataloader_factory.py b/release/train_tests/benchmark/torch_dataloader_factory.py index 079a1ecc5d40..733c15d497ca 100644 --- a/release/train_tests/benchmark/torch_dataloader_factory.py +++ b/release/train_tests/benchmark/torch_dataloader_factory.py @@ -149,7 +149,7 @@ def _create_dataloader(self, dataset_key: DatasetKey, batch_size: int): pin_memory=pin_memory, prefetch_factor=prefetch_factor, timeout=timeout, - drop_last=True, + drop_last=False, **multiprocessing_args, ) # Add a DistributedSampler to the dataloader if possible (map-style datasets) From 245d282febca26395153ae3d911b6e44ce69b167 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 9 Sep 2025 19:01:31 -0700 Subject: [PATCH 1131/1566] [ci] remove old wheel building logic (#56375) only keep parts that are still being used in macos wheel building Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ci.sh | 109 +++++++----------------------- ci/ray_ci/macos/macos_ci_build.sh | 3 +- 2 files changed, 25 insertions(+), 87 deletions(-) diff --git a/ci/ci.sh b/ci/ci.sh index 8afa3ccc78a6..c228b0e3aa67 100755 --- a/ci/ci.sh +++ b/ci/ci.sh @@ -242,25 +242,20 @@ install_ray() { ) } -validate_wheels_commit_str() { - if [ "${OSTYPE}" = msys ]; then - echo "Windows builds do not set the commit string, skipping wheel commit validity check." - return 0 - fi - - if [ -n "${BUILDKITE_COMMIT}" ]; then - EXPECTED_COMMIT=${BUILDKITE_COMMIT:-} +_validate_macos_wheels_commit_str() { + if [[ -n "${BUILDKITE_COMMIT}" ]]; then + EXPECTED_COMMIT="${BUILDKITE_COMMIT:-}" else - EXPECTED_COMMIT=${TRAVIS_COMMIT:-} + EXPECTED_COMMIT="$(git rev-parse HEAD)" fi - if [ -z "$EXPECTED_COMMIT" ]; then - echo "Could not validate expected wheel commits: TRAVIS_COMMIT is empty." - return 0 + if [[ -z "$EXPECTED_COMMIT" ]]; then + echo "Could not validate expected wheel commits: BUILDKITE_COMMIT is empty." >&2 + exit 1 fi for whl in .whl/*.whl; do - basename=${whl##*/} + basename="${whl##*/}" if [[ "$basename" =~ "_cpp" ]]; then # cpp wheels cannot be checked this way @@ -281,85 +276,29 @@ validate_wheels_commit_str() { echo "All wheels passed the sanity check and have the correct wheel commit set." } -build_wheels_and_jars() { +build_macos_wheels_and_jars() { + if [[ "${OSTYPE}" != darwin* ]]; then + echo "Not on macOS" + exit 1 + fi + _bazel_build_before_install # Create wheel output directory and empty contents # If buildkite runners are re-used, wheels from previous builds might be here, so we delete them. + rm -rf .whl mkdir -p .whl - rm -rf .whl/* || true - - case "${OSTYPE}" in - linux*) - # Mount bazel cache dir to the docker container. - # For the linux wheel build, we use a shared cache between all - # wheels, but not between different travis runs, because that - # caused timeouts in the past. See the "cache: false" line below. - local MOUNT_BAZEL_CACHE=( - -e "TRAVIS=true" - -e "TRAVIS_PULL_REQUEST=${TRAVIS_PULL_REQUEST:-false}" - -e "TRAVIS_COMMIT=${TRAVIS_COMMIT}" - -e "CI=${CI}" - -e "RAY_INSTALL_JAVA=${RAY_INSTALL_JAVA:-1}" - -e "BUILDKITE=${BUILDKITE:-}" - -e "BUILDKITE_PULL_REQUEST=${BUILDKITE_PULL_REQUEST:-}" - -e "BUILDKITE_BAZEL_CACHE_URL=${BUILDKITE_BAZEL_CACHE_URL:-}" - -e "RAY_DEBUG_BUILD=${RAY_DEBUG_BUILD:-}" - -e "BUILD_ONE_PYTHON_ONLY=${BUILD_ONE_PYTHON_ONLY:-}" - ) - - IMAGE_NAME="quay.io/pypa/manylinux2014_${HOSTTYPE}" - IMAGE_TAG="2022-12-20-b4884d9" - - local MOUNT_ENV=() - if [[ "${LINUX_JARS-}" == "1" ]]; then - MOUNT_ENV+=(-e "BUILD_JAR=1") - fi - if [[ -z "${BUILDKITE-}" ]]; then - # This command should be kept in sync with ray/python/README-building-wheels.md, - # except the "${MOUNT_BAZEL_CACHE[@]}" part. - docker run --rm -w /ray -v "${PWD}":/ray "${MOUNT_BAZEL_CACHE[@]}" \ - "${MOUNT_ENV[@]}" "${IMAGE_NAME}:${IMAGE_TAG}" /ray/python/build-wheel-manylinux2014.sh - else - rm -rf /ray-mount/* - rm -rf /ray-mount/.whl || true - rm -rf /ray/.whl || true - cp -rT /ray /ray-mount - ls -a /ray-mount - docker run --rm -w /ray -v /ray:/ray "${MOUNT_BAZEL_CACHE[@]}" \ - "${MOUNT_ENV[@]}" "${IMAGE_NAME}:${IMAGE_TAG}" /ray/python/build-wheel-manylinux2014.sh - cp -rT /ray-mount /ray # copy new files back here - find . | grep whl # testing - - # Sync the directory to buildkite artifacts - rm -rf /artifact-mount/.whl || true - - if [ "${UPLOAD_WHEELS_AS_ARTIFACTS-}" = "1" ]; then - cp -r .whl /artifact-mount/.whl - chmod -R 777 /artifact-mount/.whl - fi - - validate_wheels_commit_str - fi - ;; - darwin*) - # This command should be kept in sync with ray/python/README-building-wheels.md. - "${WORKSPACE_DIR}"/python/build-wheel-macos.sh - mkdir -p /tmp/artifacts/.whl - rm -rf /tmp/artifacts/.whl || true - - if [[ "${UPLOAD_WHEELS_AS_ARTIFACTS-}" == "1" ]]; then - cp -r .whl /tmp/artifacts/.whl - chmod -R 777 /tmp/artifacts/.whl - fi + # This command should be kept in sync with ray/python/README-building-wheels.md. + "${WORKSPACE_DIR}"/python/build-wheel-macos.sh + + mkdir -p /tmp/artifacts + rm -rf /tmp/artifacts/.whl + cp -r .whl /tmp/artifacts/.whl + chmod 755 /tmp/artifacts/.whl + chmod 644 /tmp/artifacts/.whl/* - validate_wheels_commit_str - ;; - msys*) - "${WORKSPACE_DIR}"/python/build-wheel-windows.sh - ;; - esac + _validate_macos_wheels_commit_str } configure_system() { diff --git a/ci/ray_ci/macos/macos_ci_build.sh b/ci/ray_ci/macos/macos_ci_build.sh index 810b9cc540af..242dbcb618ee 100755 --- a/ci/ray_ci/macos/macos_ci_build.sh +++ b/ci/ray_ci/macos/macos_ci_build.sh @@ -32,14 +32,13 @@ build() { export JAVA_HOME=/Library/Java/JavaVirtualMachines/temurin-8.jdk/Contents/Home java -version # Build wheels - export UPLOAD_WHEELS_AS_ARTIFACTS=1 export MAC_WHEELS=1 export MAC_JARS=1 export RAY_INSTALL_JAVA=1 export RAY_ENABLE_WINDOWS_OR_OSX_CLUSTER=1 . ./ci/ci.sh init && source ~/.zshenv source ~/.zshrc - ./ci/ci.sh build_wheels_and_jars + ./ci/ci.sh build_macos_wheels_and_jars # Test wheels ./ci/ci.sh test_macos_wheels # Build jars From e49d593701c9f1eb59922e7f20fcb15c57f31d3c Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Tue, 9 Sep 2025 20:56:55 -0700 Subject: [PATCH 1132/1566] [docs] [serve] [llm] Fix serve llm examples (#56382) Signed-off-by: Douglas Strodtman --- doc/source/serve/examples.yml | 12 ++--- .../deployment-serve-llm/README.ipynb | 12 ++--- .../tutorials/deployment-serve-llm/README.md | 12 ++--- .../hybrid-reasoning-llm/README.md | 45 ++++++------------- .../hybrid-reasoning-llm/client_streaming.py | 6 +-- .../client_thinking_disabled.py | 6 +-- .../client_thinking_enabled.py | 6 +-- .../hybrid-reasoning-llm/notebook.ipynb | 45 ++++++------------- .../large-size-llm/README.md | 10 ++--- .../large-size-llm/client.py | 6 +-- .../large-size-llm/notebook.ipynb | 10 ++--- .../medium-size-llm/README.md | 12 ++--- .../medium-size-llm/client.py | 6 +-- .../medium-size-llm/notebook.ipynb | 12 ++--- .../reasoning-llm/README.md | 18 ++++---- .../reasoning-llm/client.py | 6 +-- .../reasoning-llm/client_streaming.py | 6 +-- .../reasoning-llm/notebook.ipynb | 18 ++++---- .../small-size-llm/README.md | 10 ++--- .../small-size-llm/client.py | 6 +-- .../small-size-llm/notebook.ipynb | 10 ++--- .../deployment-serve-llm/vision-llm/README.md | 18 ++++---- .../vision-llm/client_local_image.py | 6 +-- .../vision-llm/client_url_image.py | 6 +-- .../vision-llm/notebook.ipynb | 18 ++++---- 25 files changed, 142 insertions(+), 180 deletions(-) diff --git a/doc/source/serve/examples.yml b/doc/source/serve/examples.yml index e1077becdf6d..56416a1e0b4c 100644 --- a/doc/source/serve/examples.yml +++ b/doc/source/serve/examples.yml @@ -74,7 +74,7 @@ examples: - natural language processing link: tutorials/serve-deepseek related_technology: llm applications - - title: Deploying a small-sized LLM + - title: Deploy a small-sized LLM skill_level: beginner use_cases: - generative ai @@ -82,7 +82,7 @@ examples: - natural language processing link: tutorials/deployment-serve-llm/small-size-llm/README related_technology: llm applications - - title: Deploying a medium-sized LLM + - title: Deploy a medium-sized LLM skill_level: beginner use_cases: - generative ai @@ -90,7 +90,7 @@ examples: - natural language processing link: tutorials/deployment-serve-llm/medium-size-llm/README related_technology: llm applications - - title: Deploying a large-sized LLM + - title: Deploy a large-sized LLM skill_level: beginner use_cases: - generative ai @@ -98,7 +98,7 @@ examples: - natural language processing link: tutorials/deployment-serve-llm/large-size-llm/README related_technology: llm applications - - title: Deploying a vision LLM + - title: Deploy a vision LLM skill_level: beginner use_cases: - generative ai @@ -106,7 +106,7 @@ examples: - natural language processing link: tutorials/deployment-serve-llm/vision-llm/README related_technology: llm applications - - title: Deploying a reasoning LLM + - title: Deploy a reasoning LLM skill_level: beginner use_cases: - generative ai @@ -114,7 +114,7 @@ examples: - natural language processing link: tutorials/deployment-serve-llm/reasoning-llm/README related_technology: llm applications - - title: Deploying a hybrid reasoning LLM + - title: Deploy a hybrid reasoning LLM skill_level: beginner use_cases: - generative ai diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb index 0b90c73aca73..9dfa5c6f1980 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.ipynb @@ -13,32 +13,32 @@ "\n", "## Tutorial categories\n", "\n", - "**[Small-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** \n", + "**[Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** \n", "Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. \n", "\n", "---\n", "\n", - "**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** \n", + "**[Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** \n", "Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. \n", "\n", "---\n", "\n", - "**[Large-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** \n", + "**[Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** \n", "Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. \n", "\n", "---\n", "\n", - "**[Vision LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** \n", + "**[Deploy a vision LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** \n", "Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. \n", "\n", "---\n", "\n", - "**[Reasoning LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** \n", + "**[Deploy a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** \n", "Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. \n", "\n", "---\n", "\n", - "**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** \n", + "**[Deploy a hybrid reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** \n", "Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3." ] } diff --git a/doc/source/serve/tutorials/deployment-serve-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/README.md index 4aa5318b28cd..666a99af10c5 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/README.md @@ -12,30 +12,30 @@ Each tutorial includes development and production setups, tips for configuring y ## Tutorial categories -**[Small-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** +**[Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html)** Deploy small-sized models on a single GPU, such as Llama 3 8 B, Mistral 7 B, or Phi-2. --- -**[Medium-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** +**[Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html)** Deploy medium-sized models using tensor parallelism across 4—8 GPUs on a single node, such as Llama 3 70 B, Qwen 14 B, Mixtral 8x7 B. --- -**[Large-sized LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** +**[Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html)** Deploy massive models using pipeline parallelism across a multi-node cluster, such as Deepseek-R1 or Llama-Nemotron-253 B. --- -**[Vision LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** +**[Deploy a vision LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/vision-llm/README.html)** Deploy models with image and text input such as Qwen 2.5-VL-7 B-Instruct, MiniGPT-4, or Pixtral-12 B. --- -**[Reasoning LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** +**[Deploy a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html)** Deploy models with reasoning capabilities designed for long-context tasks, coding, or tool use, such as QwQ-32 B. --- -**[Hybrid thinking LLM deployment](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** +**[Deploy a hybrid reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.html)** Deploy models that can switch between reasoning and non-reasoning modes for flexible usage, such as Qwen-3. diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md index 5a01ee73875c..cdd0ecf74f03 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md @@ -27,7 +27,7 @@ This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. **Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning. -To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html). +To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploy a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html). --- @@ -70,7 +70,7 @@ See [Send request with thinking enabled](#send-request-with-thinking-enabled) or In thinking mode, hybrid models often separate _reasoning_ from the _final answer_ using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. -To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. +To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. **Note:** For example, *Qwen-3* uses the `qwen3` parser. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed. ```yaml @@ -147,7 +147,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -210,10 +210,10 @@ Example Python with `enable_thinking: False`: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( @@ -256,10 +256,10 @@ curl -X POST http://localhost:8000/v1/chat/completions \ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( @@ -293,7 +293,7 @@ serve shutdown -y ## Deploy to production with Anyscale services -For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial. +For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial. --- @@ -307,29 +307,10 @@ In thinking mode, hybrid reasoning models may take longer to begin generating th from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) - -# Example: Complex query with thinking process -response = client.chat.completions.create( - model="my-qwen-3-32b", - messages=[ - {"role": "user", "content": "What's the capital of France ?"} - ], - extra_body={"chat_template_kwargs": {"enable_thinking": True}} -) - -print(f"Reasoning: \n{response.choices[0].message.reasoning_content}\n\n") -print(f"Answer: \n {response.choices[0].message.content}") -from urllib.parse import urljoin -from openai import OpenAI - -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" - -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py index 7e51b794445c..ea383b2649f0 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py index 46aa914441ea..fcacfe43166f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py index f09b5868648d..f1ea4070ec3f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb index 221e991e88d1..97e7bb17834e 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb @@ -24,7 +24,7 @@ "\n", "**Note:** Reasoning often benefits from long context windows (32K up to +1M tokens), high token throughput, low-temperature decoding (greedy sampling), and strong instruction tuning or scratchpad-style reasoning.\n", "\n", - "To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploying a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html).\n", + "To see an example of deploying a purely reasoning model like *QwQ-32 B*, see [Deploy a reasoning LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/reasoning-llm/README.html).\n", "\n", "---\n", "\n", @@ -67,7 +67,7 @@ "\n", "In thinking mode, hybrid models often separate _reasoning_ from the _final answer_ using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. \n", "\n", - "To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output.\n", + "To ensure that Ray Serve LLM correctly parses the reasoning output, configure a `reasoning_parser` in your Ray Serve LLM deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. \n", "**Note:** For example, *Qwen-3* uses the `qwen3` parser. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed.\n", "\n", "```yaml\n", @@ -154,7 +154,7 @@ "id": "32272280", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate your settings to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -245,10 +245,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", @@ -313,10 +313,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", @@ -366,7 +366,7 @@ "\n", "## Deploy to production with Anyscale services\n", "\n", - "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial.\n", + "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without any code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *Qwen-32b* from this tutorial.\n", "\n", "---\n", "\n", @@ -386,29 +386,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", - "\n", - "# Example: Complex query with thinking process\n", - "response = client.chat.completions.create(\n", - " model=\"my-qwen-3-32b\",\n", - " messages=[\n", - " {\"role\": \"user\", \"content\": \"What's the capital of France ?\"}\n", - " ],\n", - " extra_body={\"chat_template_kwargs\": {\"enable_thinking\": True}}\n", - ")\n", - "\n", - "print(f\"Reasoning: \\n{response.choices[0].message.reasoning_content}\\n\\n\")\n", - "print(f\"Answer: \\n {response.choices[0].message.content}\")\n", - "from urllib.parse import urljoin\n", - "from openai import OpenAI\n", - "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", - "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md index e40fd9d80c8e..379e4c0d0ba4 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md @@ -64,7 +64,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -125,10 +125,10 @@ Example Python: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-deepseek-r1", @@ -176,7 +176,7 @@ For production deployment, use Anyscale services to deploy the Ray Serve app to The following template runs only on H100 GPUs in your self-hosted Anyscale cloud, as H100s aren't available in Anyscale’s public cloud. This example uses two nodes of type *8xH100-80 GB:208CPU-1830 GB* on an AWS cloud. -To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp/#changing-the-default-disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws/#changing-the-default-disk-size) for Amazon Web Services (AWS). +To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp#disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws#disk-size) for Amazon Web Services (AWS). --- diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py index 0f76eb43e6b9..839f17958d3b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-deepseek-r1", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb index d4744d6f304f..6764565d998e 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb @@ -71,7 +71,7 @@ "id": "6b2231a5", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -160,10 +160,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-deepseek-r1\",\n", @@ -227,7 +227,7 @@ "\n", "The following template runs only on H100 GPUs in your self-hosted Anyscale cloud, as H100s aren't available in Anyscale’s public cloud. This example uses two nodes of type *8xH100-80 GB:208CPU-1830 GB* on an AWS cloud.\n", "\n", - "To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp/#changing-the-default-disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws/#changing-the-default-disk-size) for Amazon Web Services (AWS). \n", + "To provision nodes with 1000 GB of disk capacity, see [Changing the default disk size for GCP clusters](https://docs.anyscale.com/configuration/compute/gcp#disk-size) for Google Cloud Platform (GCP) or [Changing the default disk size for AWS clusters](https://docs.anyscale.com/configuration/compute/aws#disk-size) for Amazon Web Services (AWS). \n", "\n", "---\n", "\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md index b40f78e86b6b..271080a43e9b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md @@ -8,11 +8,11 @@ Modify notebook.ipynb instead, then regenerate this file with: jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" --> -# Deploying a medium-sized LLM +# Deploy a medium-sized LLM A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive. -This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). +This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). --- @@ -58,7 +58,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -118,10 +118,10 @@ Example Python: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-70b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py index 4f51d2f67a46..6715ef57b451 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-70b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb index fa284ed6f02b..b6dd436002b8 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb @@ -5,11 +5,11 @@ "id": "f8f6fcbd", "metadata": {}, "source": [ - "# Deploying a medium-sized LLM\n", + "# Deploy a medium-sized LLM\n", "\n", "A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive.\n", "\n", - "This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", + "This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", "\n", "---\n", "\n", @@ -65,7 +65,7 @@ "id": "6b2231a5", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -153,10 +153,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-llama-3.1-70b\",\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md index d7a3aa48f702..ef7a943d6410 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md @@ -43,7 +43,7 @@ If your input is clear and complete, a standard model is usually faster and more Reasoning models often separate *reasoning* from the *final answer* using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field. -To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. +To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. **Note:** For example, *QwQ* uses the `deepseek-r1` parser. Other models may require different parsers. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed. ```yaml @@ -122,7 +122,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -181,10 +181,10 @@ Example Python: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-qwq-32B", @@ -216,7 +216,7 @@ serve shutdown -y ## Deploy to production with Anyscale services -For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here. +For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here. --- @@ -230,10 +230,10 @@ Reasoning models may take longer to begin generating the main content. You can s from urllib.parse import urljoin from openai import OpenAI -api_key = -base_url = +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py index 9b5d768acc65..e7ba801365a3 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-qwq-32B", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py index f5c896593a3c..d522e0867603 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb index 7f60d2c396c2..5c29cfb6856f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb @@ -40,7 +40,7 @@ "\n", "Reasoning models often separate *reasoning* from the *final answer* using tags like `...`. Without a proper parser, this reasoning may end up in the `content` field instead of the dedicated `reasoning_content` field.\n", "\n", - "To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output.\n", + "To extract reasoning correctly, configure a `reasoning_parser` in your Ray Serve deployment. This tells vLLM how to isolate the model’s thought process from the rest of the output. \n", "**Note:** For example, *QwQ* uses the `deepseek-r1` parser. Other models may require different parsers. See the [vLLM docs](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#supported-models) or your model's documentation to find a supported parser, or [build your own](https://docs.vllm.ai/en/stable/features/reasoning_outputs.html#how-to-support-a-new-reasoning-model) if needed.\n", "\n", "```yaml\n", @@ -129,7 +129,7 @@ "id": "d515e268", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -216,10 +216,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-qwq-32B\",\n", @@ -267,7 +267,7 @@ "\n", "## Deploy to production with Anyscale services\n", "\n", - "For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here.\n", + "For production, use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a medium-sized model like the *QwQ-32 B* used here.\n", "\n", "---\n", "\n", @@ -287,10 +287,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \n", - "base_url = \n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md index 3523ece616b3..88c25c7c121f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md @@ -13,7 +13,7 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy. -For larger models, see [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). +For larger models, see [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). --- @@ -52,7 +52,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -113,10 +113,10 @@ Example Python: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-8b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py index 25025a73dbcf..397cda670371 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py @@ -1,10 +1,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-8b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb index f4cd9ec72d34..b1e7796913f5 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb @@ -10,7 +10,7 @@ "A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy.\n", "\n", "\n", - "For larger models, see [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploying a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", + "For larger models, see [Deploy a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html) or [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", "\n", "---\n", "\n", @@ -59,7 +59,7 @@ "id": "b17a7140", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: Production Guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate to using a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -148,10 +148,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-llama-3.1-8b\",\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md index 352153951931..1a8c2654464f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md @@ -8,7 +8,7 @@ Modify notebook.ipynb instead, then regenerate this file with: jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" --> -# Deploying a vision LLM +# Deploy a vision LLM A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. @@ -49,7 +49,7 @@ app = build_openai_app({"llm_configs": [llm_config]}) ``` -**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example. +**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example. --- @@ -108,10 +108,10 @@ Example Python with image URL: from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-qwen-VL", @@ -143,10 +143,10 @@ from urllib.parse import urljoin import base64 from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) ### From an image locally saved as `example.jpg` # Load and encode image as base64 @@ -192,7 +192,7 @@ serve shutdown -y ## Deploy to production with Anyscale services -For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial. +For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial. --- diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py index 200d46c49ab9..ac6d86f18be9 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py @@ -3,10 +3,10 @@ import base64 from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) ### From an image locally saved as `example.jpg` # Load and encode image as base64 diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py index c976e460f2dc..0d093af6169b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py @@ -2,10 +2,10 @@ from urllib.parse import urljoin from openai import OpenAI -api_key = "FAKE_KEY" -base_url = "http://localhost:8000" +API_KEY = "FAKE_KEY" +BASE_URL = "http://localhost:8000" -client = OpenAI(base_url=urljoin(base_url, "v1"), api_key=api_key) +client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) response = client.chat.completions.create( model="my-qwen-VL", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb index 5c1c482a2e4c..fa340e74ab20 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb @@ -5,7 +5,7 @@ "id": "23243c2e", "metadata": {}, "source": [ - "# Deploying a vision LLM\n", + "# Deploy a vision LLM\n", "\n", "A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. \n", "\n", @@ -56,7 +56,7 @@ "id": "c76a6362", "metadata": {}, "source": [ - "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs: production guide](https://docs.ray.io/en/latest/serve/llm/serving-llms.html#production-deployment) for an example.\n", + "**Note:** Before moving to a production setup, migrate to a [Serve config file](https://docs.ray.io/en/latest/serve/production-guide/config.html) to make your deployment version-controlled, reproducible, and easier to maintain for CI/CD pipelines. See [Serving LLMs - Quickstart Examples: Production Guide](https://docs.ray.io/en/latest/serve/llm/quick-start.html#production-deployment) for an example.\n", "\n", "---\n", "\n", @@ -143,10 +143,10 @@ "from urllib.parse import urljoin\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-qwen-VL\",\n", @@ -189,10 +189,10 @@ "import base64\n", "from openai import OpenAI\n", "\n", - "api_key = \"FAKE_KEY\"\n", - "base_url = \"http://localhost:8000\"\n", + "API_KEY = \"FAKE_KEY\"\n", + "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(base_url=urljoin(base_url, \"v1\"), api_key=api_key)\n", + "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", "\n", "### From an image locally saved as `example.jpg`\n", "# Load and encode image as base64\n", @@ -254,7 +254,7 @@ "\n", "## Deploy to production with Anyscale services\n", "\n", - "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial.\n", + "For production, it's recommended to use Anyscale services to deploy your Ray Serve app on a dedicated cluster without code changes. Anyscale provides scalability, fault tolerance, and load balancing, ensuring resilience against node failures, high traffic, and rolling updates. See [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html#deploy-to-production-with-anyscale-services) for an example with a small-sized model like the *Qwen2.5-VL-7 B-Instruct* used in this tutorial.\n", "\n", "---\n", "\n", From ed7f4f6e1210e04aaa7c3f638171281aaf3283b9 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 9 Sep 2025 21:28:22 -0700 Subject: [PATCH 1133/1566] Revert "[core] Correct bytes in flight when objects <5mb (#54349)" (#56387) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 4 +- src/ray/object_manager/chunk_object_reader.h | 5 - src/ray/object_manager/object_manager.cc | 21 +- src/ray/object_manager/object_manager.h | 2 +- src/ray/object_manager/push_manager.cc | 26 +- src/ray/object_manager/push_manager.h | 46 ++-- .../object_manager/tests/push_manager_test.cc | 255 ++++++++---------- src/ray/raylet/main.cc | 2 - 8 files changed, 157 insertions(+), 204 deletions(-) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index d496e52fed7b..14a7f9de4d5f 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -334,7 +334,9 @@ RAY_CONFIG(uint64_t, object_manager_default_chunk_size, 5 * 1024 * 1024) /// The maximum number of outbound bytes to allow to be outstanding. This avoids /// excessive memory usage during object broadcast to many receivers. -RAY_CONFIG(int64_t, object_manager_max_bytes_in_flight, (int64_t)2 * 1024 * 1024 * 1024) +RAY_CONFIG(uint64_t, + object_manager_max_bytes_in_flight, + ((uint64_t)2) * 1024 * 1024 * 1024) /// Maximum number of ids in one batch to send to GCS to delete keys. RAY_CONFIG(uint32_t, maximum_gcs_deletion_batch_size, 1000) diff --git a/src/ray/object_manager/chunk_object_reader.h b/src/ray/object_manager/chunk_object_reader.h index b70df5c1a9f5..097d2c84e863 100644 --- a/src/ray/object_manager/chunk_object_reader.h +++ b/src/ray/object_manager/chunk_object_reader.h @@ -14,7 +14,6 @@ #pragma once -#include #include #include @@ -42,10 +41,6 @@ class ChunkObjectReader { const IObjectReader &GetObject() const { return *object_; } - uint64_t ChunkSize() const { - return std::min(chunk_size_, object_->GetDataSize() + object_->GetMetadataSize()); - } - private: const std::shared_ptr object_; const uint64_t chunk_size_; diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 4291637d3fd7..e43af1acc6a4 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -116,7 +116,10 @@ ObjectManager::ObjectManager( get_spilled_object_url_(std::move(get_spilled_object_url)), pull_retry_timer_(*main_service_, boost::posix_time::milliseconds(config.timer_freq_ms)), - push_manager_(std::make_unique(config_.max_bytes_in_flight)) { + push_manager_(std::make_unique(/* max_chunks_in_flight= */ std::max( + static_cast(1L), + static_cast(config_.max_bytes_in_flight / + config_.object_chunk_size)))) { RAY_CHECK_GT(config_.rpc_service_threads_number, 0); pull_retry_timer_.async_wait([this](const boost::system::error_code &e) { Tick(e); }); @@ -488,13 +491,8 @@ void ObjectManager::PushObjectInternal(const ObjectID &object_id, << ", total data size: " << chunk_reader->GetObject().GetObjectSize(); auto push_id = UniqueID::FromRandom(); - uint64_t push_max_chunk_size = chunk_reader->ChunkSize(); push_manager_->StartPush( - node_id, - object_id, - chunk_reader->GetNumChunks(), - push_max_chunk_size, - [=](int64_t chunk_id) { + node_id, object_id, chunk_reader->GetNumChunks(), [=](int64_t chunk_id) { rpc_service_.post( [=]() { // Post to the multithreaded RPC event loop so that data is copied @@ -505,14 +503,11 @@ void ObjectManager::PushObjectInternal(const ObjectID &object_id, node_id, chunk_id, rpc_client, - [this, push_max_chunk_size](const Status &status) { + [=](const Status &status) { // Post back to the main event loop because the // PushManager is not thread-safe. - this->main_service_->post( - [this, push_max_chunk_size]() { - this->push_manager_->OnChunkComplete(push_max_chunk_size); - }, - "ObjectManager.Push"); + main_service_->post([this]() { push_manager_->OnChunkComplete(); }, + "ObjectManager.Push"); }, chunk_reader, from_disk); diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 4a1b3f4535fa..593f2d2b1455 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -53,7 +53,7 @@ struct ObjectManagerConfig { /// Object chunk size, in bytes uint64_t object_chunk_size; /// Max object push bytes in flight. - int64_t max_bytes_in_flight; + uint64_t max_bytes_in_flight; /// The store socket name. std::string store_socket_name; /// The time in milliseconds to wait until a Push request diff --git a/src/ray/object_manager/push_manager.cc b/src/ray/object_manager/push_manager.cc index 25701fe32c5c..1487c6d5b563 100644 --- a/src/ray/object_manager/push_manager.cc +++ b/src/ray/object_manager/push_manager.cc @@ -24,7 +24,6 @@ namespace ray { void PushManager::StartPush(const NodeID &dest_id, const ObjectID &obj_id, int64_t num_chunks, - int64_t max_chunk_size, std::function send_chunk_fn) { auto push_id = std::make_pair(dest_id, obj_id); RAY_CHECK(num_chunks > 0); @@ -38,7 +37,6 @@ void PushManager::StartPush(const NodeID &dest_id, dest_id, obj_id, num_chunks, - max_chunk_size, std::move(send_chunk_fn)); } else { RAY_LOG(DEBUG) << "Duplicate push request " << push_id.first << ", " << push_id.second @@ -49,8 +47,8 @@ void PushManager::StartPush(const NodeID &dest_id, ScheduleRemainingPushes(); } -void PushManager::OnChunkComplete(int64_t push_max_chunk_size) { - bytes_in_flight_ -= push_max_chunk_size; +void PushManager::OnChunkComplete() { + chunks_in_flight_ -= 1; chunks_remaining_ -= 1; ScheduleRemainingPushes(); } @@ -64,17 +62,17 @@ void PushManager::ScheduleRemainingPushes() { // Loop over all active pushes for approximate round-robin prioritization. bool keep_looping = true; - while (bytes_in_flight_ < max_bytes_in_flight_ && keep_looping) { + while (chunks_in_flight_ < max_chunks_in_flight_ && keep_looping) { // Loop over each active push and try to send another chunk. - // If we could push out a chunk and haven't reached the max_bytes_in_flight_ limit, + // If we could push out a chunk and haven't reached the chunks_in_flight_ limit, // we'll loop again to try to send more chunks. keep_looping = false; auto iter = push_requests_with_chunks_to_send_.begin(); while (iter != push_requests_with_chunks_to_send_.end() && - bytes_in_flight_ < max_bytes_in_flight_) { + chunks_in_flight_ < max_chunks_in_flight_) { auto &push_state = *iter; push_state.SendOneChunk(); - bytes_in_flight_ += push_state.max_chunk_size_; + chunks_in_flight_ += 1; if (push_state.num_chunks_to_send_ == 0) { auto push_state_map_iter = push_state_map_.find(push_state.node_id_); RAY_CHECK(push_state_map_iter != push_state_map_.end()); @@ -109,16 +107,18 @@ void PushManager::HandleNodeRemoved(const NodeID &node_id) { void PushManager::RecordMetrics() const { ray::stats::STATS_push_manager_num_pushes_remaining.Record( - push_requests_with_chunks_to_send_.size()); - ray::stats::STATS_push_manager_chunks.Record(chunks_remaining_, "Remaining"); + NumPushRequestsWithChunksToSend()); + ray::stats::STATS_push_manager_chunks.Record(NumChunksInFlight(), "InFlight"); + ray::stats::STATS_push_manager_chunks.Record(NumChunksRemaining(), "Remaining"); } std::string PushManager::DebugString() const { std::stringstream result; result << "PushManager:"; - result << "\n- num pushes remaining: " << push_requests_with_chunks_to_send_.size(); - result << "\n- num chunks remaining: " << chunks_remaining_; - result << "\n- max bytes allowed: " << max_bytes_in_flight_; + result << "\n- num pushes remaining: " << NumPushRequestsWithChunksToSend(); + result << "\n- num chunks in flight: " << NumChunksInFlight(); + result << "\n- num chunks remaining: " << NumChunksRemaining(); + result << "\n- max chunks allowed: " << max_chunks_in_flight_; return result.str(); } diff --git a/src/ray/object_manager/push_manager.h b/src/ray/object_manager/push_manager.h index b61903e9123f..4149d8f29c30 100644 --- a/src/ray/object_manager/push_manager.h +++ b/src/ray/object_manager/push_manager.h @@ -28,10 +28,12 @@ class PushManager { public: /// Create a push manager. /// - /// \param max_bytes_in_flight Max number of bytes allowed to be in flight + /// \param max_chunks_in_flight Max number of chunks allowed to be in flight /// from this PushManager (this raylet). - explicit PushManager(int64_t max_bytes_in_flight) - : max_bytes_in_flight_(max_bytes_in_flight){}; + explicit PushManager(int64_t max_chunks_in_flight) + : max_chunks_in_flight_(max_chunks_in_flight) { + RAY_CHECK_GT(max_chunks_in_flight_, 0); + }; /// Start pushing an object subject to max chunks in flight limit. /// @@ -40,39 +42,40 @@ class PushManager { /// \param dest_id The node to send to. /// \param obj_id The object to send. /// \param num_chunks The total number of chunks to send. - /// \param max_chunk_size See comment for max_chunk_size_ in PushState. /// \param send_chunk_fn This function will be called with args 0...{num_chunks-1}. /// The caller promises to call PushManager::OnChunkComplete() /// once a call to send_chunk_fn finishes. void StartPush(const NodeID &dest_id, const ObjectID &obj_id, int64_t num_chunks, - int64_t max_chunk_size, std::function send_chunk_fn); /// Called every time a chunk completes to trigger additional sends. /// TODO(ekl) maybe we should cancel the entire push on error. - void OnChunkComplete(int64_t push_max_chunk_size); + void OnChunkComplete(); /// Cancel all pushes that have not yet been sent to the removed node. void HandleNodeRemoved(const NodeID &node_id); - void RecordMetrics() const; - - int64_t BytesInFlight() const { return bytes_in_flight_; } - - int64_t ChunksRemaining() const { return chunks_remaining_; } + /// Return the number of chunks currently in flight. For metrics and testing. + int64_t NumChunksInFlight() const { return chunks_in_flight_; }; - int64_t PushesInFlight() const { return push_state_map_.size(); } + /// Return the number of chunks remaining. For metrics and testing. + int64_t NumChunksRemaining() const { return chunks_remaining_; } - int64_t PushRequestsRemaining() const { + /// Return the number of push requests with remaining chunks. For metrics and testing. + int64_t NumPushRequestsWithChunksToSend() const { return push_requests_with_chunks_to_send_.size(); - } + }; + + /// Record the internal metrics. + void RecordMetrics() const; std::string DebugString() const; private: FRIEND_TEST(TestPushManager, TestPushState); + FRIEND_TEST(TestPushManager, TestNodeRemoved); /// Tracks the state of an active object push to another node. struct PushState { @@ -81,13 +84,8 @@ class PushManager { /// total number of chunks of this object. int64_t num_chunks_; - /// the max size of a chunk for this object in bytes, used to count bytes_in_flight_ - /// and assure it stays under max_bytes_in_flight_. This means we can overcount for - /// the last chunk but we're accepting that to keep the code simpler. - int64_t max_chunk_size_; /// The function to send chunks with. std::function chunk_send_fn_; - /// The index of the next chunk to send. int64_t next_chunk_id_ = 0; /// The number of chunks remaining to send. @@ -96,12 +94,10 @@ class PushManager { PushState(NodeID node_id, ObjectID object_id, int64_t num_chunks, - int64_t max_chunk_size, std::function chunk_send_fn) : node_id_(node_id), object_id_(object_id), num_chunks_(num_chunks), - max_chunk_size_(max_chunk_size), chunk_send_fn_(std::move(chunk_send_fn)), num_chunks_to_send_(num_chunks) {} @@ -126,11 +122,11 @@ class PushManager { /// Called on completion events to trigger additional pushes. void ScheduleRemainingPushes(); - /// Max number of bytes in flight allowed. - const int64_t max_bytes_in_flight_; + /// Max number of chunks in flight allowed. + const int64_t max_chunks_in_flight_; - /// Running count of bytes in flight - int64_t bytes_in_flight_ = 0; + /// Running count of chunks in flight, used to limit progress of in_flight_pushes_. + int64_t chunks_in_flight_ = 0; /// Remaining count of chunks to push to other nodes. int64_t chunks_remaining_ = 0; diff --git a/src/ray/object_manager/tests/push_manager_test.cc b/src/ray/object_manager/tests/push_manager_test.cc index 084d9078184b..ae87892bacaf 100644 --- a/src/ray/object_manager/tests/push_manager_test.cc +++ b/src/ray/object_manager/tests/push_manager_test.cc @@ -27,36 +27,30 @@ TEST(TestPushManager, TestSingleTransfer) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(25); - int64_t push_max_chunk_size = 5; - pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { - results[chunk_id] = 1; - }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 10); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + PushManager pm(5); + pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 10); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); for (int i = 0; i < 10; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } - ASSERT_EQ(pm.BytesInFlight(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 1); } } TEST(TestPushManager, TestPushState) { - int64_t push_max_chunk_size = 5; // normal sending. { std::vector sent_chunks; PushManager::PushState state{ - NodeID::FromRandom(), - ObjectID::FromRandom(), - 2, - push_max_chunk_size, - [&](int64_t chunk_id) { sent_chunks.push_back(chunk_id); }}; + NodeID::FromRandom(), ObjectID::FromRandom(), 2, [&](int64_t chunk_id) { + sent_chunks.push_back(chunk_id); + }}; ASSERT_EQ(state.num_chunks_, 2); ASSERT_EQ(state.next_chunk_id_, 0); ASSERT_EQ(state.num_chunks_to_send_, 2); @@ -79,11 +73,9 @@ TEST(TestPushManager, TestPushState) { { std::vector sent_chunks; PushManager::PushState state{ - NodeID::FromRandom(), - ObjectID::FromRandom(), - 3, - push_max_chunk_size, - [&](int64_t chunk_id) { sent_chunks.push_back(chunk_id); }}; + NodeID::FromRandom(), ObjectID::FromRandom(), 3, [&](int64_t chunk_id) { + sent_chunks.push_back(chunk_id); + }}; state.SendOneChunk(); ASSERT_EQ(state.num_chunks_, 3); ASSERT_EQ(state.next_chunk_id_, 1); @@ -115,42 +107,37 @@ TEST(TestPushManager, TestRetryDuplicates) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(25); + PushManager pm(5); // First push request. - int64_t push_max_chunk_size = 5; - pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { - results[chunk_id] = 1; - }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 10); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 10); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); // Second push request will resent the full chunks. - pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { - results[chunk_id] = 2; - }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 15); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 2; }); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 15); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); // first 5 chunks will be sent by first push request. for (int i = 0; i < 5; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } for (int i = 0; i < 5; i++) { ASSERT_EQ(results[i], 1); } - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 10); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 10); // we will resend all chunks by second push request. for (int i = 0; i < 10; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 2); } - ASSERT_EQ(pm.BytesInFlight(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); } TEST(TestPushManager, TestResendWholeObject) { @@ -158,39 +145,34 @@ TEST(TestPushManager, TestResendWholeObject) { results.resize(10); auto node_id = NodeID::FromRandom(); auto obj_id = ObjectID::FromRandom(); - PushManager pm(25); - int64_t push_max_chunk_size = 5; - pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { - results[chunk_id] = 1; - }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 10); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + PushManager pm(5); + pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 1; }); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 10); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); for (int i = 0; i < 5; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } // All chunks have been sent out - ASSERT_EQ(pm.PushRequestsRemaining(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 5); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 5); // resend this object, and it needs to be added to the traversal list. - pm.StartPush(node_id, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { - results[chunk_id] = 2; - }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 15); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + pm.StartPush(node_id, obj_id, 10, [&](int64_t chunk_id) { results[chunk_id] = 2; }); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 15); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); // we will resend all chunks by second push request. for (int i = 0; i < 15; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } for (int i = 0; i < 10; i++) { ASSERT_EQ(results[i], 2); } - ASSERT_EQ(pm.BytesInFlight(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); } TEST(TestPushManager, TestMultipleTransfers) { @@ -203,31 +185,30 @@ TEST(TestPushManager, TestMultipleTransfers) { auto obj_id = ObjectID::FromRandom(); int num_active1 = 0; int num_active2 = 0; - PushManager pm(25); - int64_t push_max_chunk_size = 5; - pm.StartPush(node1, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + PushManager pm(5); + pm.StartPush(node1, obj_id, 10, [&](int64_t chunk_id) { results1[chunk_id] = 1; num_active1++; }); - pm.StartPush(node2, obj_id, 10, push_max_chunk_size, [&](int64_t chunk_id) { + pm.StartPush(node2, obj_id, 10, [&](int64_t chunk_id) { results2[chunk_id] = 2; num_active2++; }); - ASSERT_EQ(pm.BytesInFlight(), 25); - ASSERT_EQ(pm.ChunksRemaining(), 20); - ASSERT_EQ(pm.PushRequestsRemaining(), 2); + ASSERT_EQ(pm.NumChunksInFlight(), 5); + ASSERT_EQ(pm.NumChunksRemaining(), 20); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 2); for (int i = 0; i < 20; i++) { if (num_active1 > 0) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); num_active1--; } else if (num_active2 > 0) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); num_active2--; } } - ASSERT_EQ(pm.BytesInFlight(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); for (int i = 0; i < 10; i++) { ASSERT_EQ(results1[i], 1); } @@ -241,55 +222,42 @@ TEST(TestPushManager, TestPushMultipleObject) { auto obj_id_1 = ObjectID::FromRandom(); auto obj_id_2 = ObjectID::FromRandom(); auto obj_id_3 = ObjectID::FromRandom(); - PushManager pm(15); + PushManager pm(3); absl::flat_hash_map> result; - int64_t push_max_chunk_size = 5; - pm.StartPush(node_id, - obj_id_1, - 4, - push_max_chunk_size, - [&, obj_id = obj_id_1](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - pm.StartPush(node_id, - obj_id_2, - 1, - push_max_chunk_size, - [&, obj_id = obj_id_2](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - pm.StartPush(node_id, - obj_id_3, - 2, - push_max_chunk_size, - [&, obj_id = obj_id_3](int64_t chunk_id) { - ASSERT_FALSE(result[obj_id].contains(chunk_id)); - result[obj_id].insert(chunk_id); - }); - ASSERT_EQ(pm.PushRequestsRemaining(), 3); - ASSERT_EQ(pm.BytesInFlight(), 15); - ASSERT_EQ(pm.ChunksRemaining(), 7); - ASSERT_EQ(pm.PushRequestsRemaining(), 3); - - pm.OnChunkComplete(push_max_chunk_size); - ASSERT_EQ(pm.PushRequestsRemaining(), 2); - pm.OnChunkComplete(push_max_chunk_size); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); - pm.OnChunkComplete(push_max_chunk_size); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); - pm.OnChunkComplete(push_max_chunk_size); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); - - pm.OnChunkComplete(push_max_chunk_size); - pm.OnChunkComplete(push_max_chunk_size); - pm.OnChunkComplete(push_max_chunk_size); - - ASSERT_EQ(pm.BytesInFlight(), 0); - ASSERT_EQ(pm.ChunksRemaining(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + pm.StartPush(node_id, obj_id_1, 4, [&, obj_id = obj_id_1](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + pm.StartPush(node_id, obj_id_2, 1, [&, obj_id = obj_id_2](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + pm.StartPush(node_id, obj_id_3, 2, [&, obj_id = obj_id_3](int64_t chunk_id) { + ASSERT_FALSE(result[obj_id].contains(chunk_id)); + result[obj_id].insert(chunk_id); + }); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); + ASSERT_EQ(pm.NumChunksInFlight(), 3); + ASSERT_EQ(pm.NumChunksRemaining(), 7); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); + + pm.OnChunkComplete(); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 2); + pm.OnChunkComplete(); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + pm.OnChunkComplete(); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + pm.OnChunkComplete(); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + + pm.OnChunkComplete(); + pm.OnChunkComplete(); + pm.OnChunkComplete(); + + ASSERT_EQ(pm.NumChunksInFlight(), 0); + ASSERT_EQ(pm.NumChunksRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); ASSERT_EQ(result[obj_id_1].size(), 4); ASSERT_EQ(result[obj_id_2].size(), 1); @@ -297,49 +265,48 @@ TEST(TestPushManager, TestPushMultipleObject) { } TEST(TestPushManager, TestNodeRemoved) { - PushManager pm(15); + PushManager pm(3); // Start pushing two objects to node 1. auto node_id_1 = NodeID::FromRandom(); auto obj_id_1 = ObjectID::FromRandom(); auto obj_id_2 = ObjectID::FromRandom(); - int64_t push_max_chunk_size = 5; - pm.StartPush(node_id_1, obj_id_1, 4, push_max_chunk_size, [](int64_t) {}); - pm.StartPush(node_id_1, obj_id_2, 2, push_max_chunk_size, [](int64_t) {}); + pm.StartPush(node_id_1, obj_id_1, 4, [](int64_t) {}); + pm.StartPush(node_id_1, obj_id_2, 2, [](int64_t) {}); // Start pushing one object to node 2. auto node_id_2 = NodeID::FromRandom(); auto obj_id_3 = ObjectID::FromRandom(); - pm.StartPush(node_id_2, obj_id_3, 3, push_max_chunk_size, [](int64_t) {}); + pm.StartPush(node_id_2, obj_id_3, 3, [](int64_t) {}); // 3 chunks in flight for 3 objects to two nodes. - ASSERT_EQ(pm.PushRequestsRemaining(), 3); - ASSERT_EQ(pm.BytesInFlight(), 15); - ASSERT_EQ(pm.PushesInFlight(), 2); - ASSERT_EQ(pm.PushRequestsRemaining(), 3); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 3); + ASSERT_EQ(pm.NumChunksInFlight(), 3); + ASSERT_EQ(pm.push_state_map_.size(), 2); + ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 3); // Remove Node 1. This should cause its associated push requests to be cleaned up. pm.HandleNodeRemoved(node_id_1); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); - ASSERT_EQ(pm.BytesInFlight(), 15); - ASSERT_EQ(pm.PushesInFlight(), 1); - ASSERT_EQ(pm.PushRequestsRemaining(), 1); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 1); + ASSERT_EQ(pm.NumChunksInFlight(), 3); + ASSERT_EQ(pm.push_state_map_.size(), 1); + ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 1); // All 3 in flight chunks finish. // All pushes should be done with chunks to node 2 in flight. for (int i = 0; i < 3; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } - ASSERT_EQ(pm.PushRequestsRemaining(), 0); - ASSERT_EQ(pm.BytesInFlight(), 15); - ASSERT_EQ(pm.PushesInFlight(), 0); - ASSERT_EQ(pm.PushRequestsRemaining(), 0); + ASSERT_EQ(pm.NumPushRequestsWithChunksToSend(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 3); + ASSERT_EQ(pm.push_state_map_.size(), 0); + ASSERT_EQ(pm.push_requests_with_chunks_to_send_.size(), 0); // The in flight chunks complete. for (int i = 0; i < 3; i++) { - pm.OnChunkComplete(push_max_chunk_size); + pm.OnChunkComplete(); } - ASSERT_EQ(pm.BytesInFlight(), 0); + ASSERT_EQ(pm.NumChunksInFlight(), 0); } } // namespace ray diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 9a433e473ebb..c2421afe83b8 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -483,8 +483,6 @@ int main(int argc, char *argv[]) { object_manager_config.object_store_memory = object_store_memory; object_manager_config.max_bytes_in_flight = RayConfig::instance().object_manager_max_bytes_in_flight(); - RAY_CHECK_GT(object_manager_config.max_bytes_in_flight, 0) - << "object_manager_max_bytes_in_flight must be greater than 0"; object_manager_config.plasma_directory = plasma_directory; object_manager_config.fallback_directory = fallback_directory; object_manager_config.huge_pages = huge_pages; From 9cd3343781f18890a347b5e24b61db38ffa51035 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Wed, 10 Sep 2025 10:16:49 +0530 Subject: [PATCH 1134/1566] [core] Improve docs for custom serialization for exceptions + add test (#56156) Signed-off-by: sampan Signed-off-by: Sampan S Nayak Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- doc/source/ray-core/objects/serialization.rst | 57 +++++++++++++++++++ python/ray/exceptions.py | 4 +- python/ray/tests/test_traceback.py | 39 ++++++++++++- 3 files changed, 97 insertions(+), 3 deletions(-) diff --git a/doc/source/ray-core/objects/serialization.rst b/doc/source/ray-core/objects/serialization.rst index 8d183b7c10e3..096c0dc20b35 100644 --- a/doc/source/ray-core/objects/serialization.rst +++ b/doc/source/ray-core/objects/serialization.rst @@ -202,6 +202,63 @@ There are at least 3 ways to define your custom serialization process: except TypeError: pass +.. _custom-exception-serializer: + +Custom Serializers for Exceptions +---------------------------------- + +When Ray tasks raise exceptions that cannot be serialized with the default pickle mechanism, you can register custom serializers to handle them (Note: the serializer must be registered in the driver and all workers). + +.. testcode:: + + import ray + import threading + + class CustomError(Exception): + def __init__(self, message, data): + self.message = message + self.data = data + self.lock = threading.Lock() # Cannot be serialized + + def custom_serializer(exc): + return {"message": exc.message, "data": str(exc.data)} + + def custom_deserializer(state): + return CustomError(state["message"], state["data"]) + + # Register in the driver + ray.util.register_serializer( + CustomError, + serializer=custom_serializer, + deserializer=custom_deserializer + ) + + @ray.remote + def task_that_registers_serializer_and_raises(): + # Register the custom serializer in the worker + ray.util.register_serializer( + CustomError, + serializer=custom_serializer, + deserializer=custom_deserializer + ) + + # Now raise the custom exception + raise CustomError("Something went wrong", {"complex": "data"}) + + # The custom exception will be properly serialized across worker boundaries + try: + ray.get(task_that_registers_serializer_and_raises.remote()) + except ray.exceptions.RayTaskError as e: + print(f"Caught exception: {e.cause}") # This will be our CustomError + +When a custom exception is raised in a remote task, Ray will: + +1. Serialize the exception using your custom serializer +2. Wrap it in a :class:`RayTaskError ` +3. The deserialized exception will be available as ``ray_task_error.cause`` + +Whenever serialization fails, Ray throws an :class:`UnserializableException ` containing the string representation of the original stack trace. + Troubleshooting --------------- diff --git a/python/ray/exceptions.py b/python/ray/exceptions.py index c1c96ad00e1c..2ea042b515c0 100644 --- a/python/ray/exceptions.py +++ b/python/ray/exceptions.py @@ -915,7 +915,7 @@ class UnserializableException(RayError): the original exception along with its stack trace that was captured at the time of serialization. - reference for more details: https://docs.ray.io/en/latest/ray-core/objects/serialization.html + For more details and how to handle this with custom serializers, :ref:`configuring custom exeception serializers ` Args: original_stack_trace: The string representation and stack trace of the @@ -927,7 +927,7 @@ def __init__(self, original_stack_trace: str): def __str__(self): return ( - "Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#troubleshooting to troubleshoot.\n" + "Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#custom-serializers-for-exceptions for more information.\n" "Original exception:\n" f"{self._original_stack_trace}" ) diff --git a/python/ray/tests/test_traceback.py b/python/ray/tests/test_traceback.py index 4921181d24d3..f9bef5dc74ff 100644 --- a/python/ray/tests/test_traceback.py +++ b/python/ray/tests/test_traceback.py @@ -301,7 +301,7 @@ def __repr__(self): def test_unpickleable_stacktrace(shutdown_only): - expected_output = """Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#troubleshooting to troubleshoot. + expected_output = """Failed to deserialize exception. Refer to https://docs.ray.io/en/latest/ray-core/objects/serialization.html#custom-serializers-for-exceptions for more information. Original exception: ray.exceptions.RayTaskError: ray::f() (pid=XXX, ip=YYY) File "FILE", line ZZ, in f @@ -330,6 +330,43 @@ def f(): assert clean_noqa(expected_output) == scrub_traceback(str(excinfo.value)) +def test_exception_with_registered_serializer(shutdown_only): + class NoPickleError(OSError): + def __init__(self, msg): + self.msg = msg + + def __str__(self): + return f"message: {self.msg}" + + def _serializer(e: NoPickleError): + return {"msg": e.msg} + + def _deserializer(state): + return NoPickleError(state["msg"] + " deserialized") + + @ray.remote + def raise_custom_exception(): + ray.util.register_serializer( + NoPickleError, serializer=_serializer, deserializer=_deserializer + ) + raise NoPickleError("message") + + try: + with pytest.raises(NoPickleError) as exc_info: + ray.get(raise_custom_exception.remote()) + + # Ensure dual-typed exception and message propagation + assert isinstance(exc_info.value, RayTaskError) + # if custom serializer was not registered, this would be an instance of UnserializableException() + assert isinstance(exc_info.value, NoPickleError) + assert "message" in str(exc_info.value) + # modified message should not be in the exception string, only in the cause + assert "deserialized" not in str(exc_info.value) + assert "message deserialized" in str(exc_info.value.cause) + finally: + ray.util.deregister_serializer(NoPickleError) + + def test_serialization_error_message(shutdown_only): expected_output_ray_put = """Could not serialize the put value :\nINSPECT_SERIALIZABILITY""" # noqa expected_output_task = """Could not serialize the argument for a task or actor test_traceback.test_serialization_error_message..task_with_unserializable_arg:\nINSPECT_SERIALIZABILITY""" # noqa From a824258862cc608a6879c08df493a389cb0e3d14 Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Tue, 9 Sep 2025 22:48:50 -0700 Subject: [PATCH 1135/1566] [core][gpu objects] Rename GPU objects -> RDT objects in user-facing exceptions (#56396) Rename GPU objects to RDT (Ray Direct Transport) in user-facing error messages. --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/_private/serialization.py | 4 ++-- .../experimental/collective/collective_tensor_transport.py | 4 ++-- python/ray/experimental/collective/nixl_tensor_transport.py | 2 +- .../ray/experimental/gpu_object_manager/gpu_object_store.py | 4 ++-- python/ray/tests/gpu_objects/test_gpu_objects_gloo.py | 4 ++-- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 81b502882e28..5ae15b5a8442 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -168,8 +168,8 @@ def object_ref_reducer(obj): and worker.gpu_object_manager.is_managed_object(obj.hex()) ): raise ValueError( - "Passing GPU ObjectRefs inside data structures is not yet supported. " - "Pass GPU ObjectRefs directly as task arguments instead. For example, use `foo.remote(ref)` instead of `foo.remote([ref])`." + "Passing RDT ObjectRefs inside data structures is not yet supported. " + "Pass RDT ObjectRefs directly as task arguments instead. For example, use `foo.remote(ref)` instead of `foo.remote([ref])`." ) self.add_contained_object_ref( diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 33155886f071..2fff70737bd7 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -62,7 +62,7 @@ def __ray_get_tensor_transport_metadata__( for t in gpu_object: if t.device.type != device.type: raise ValueError( - "All tensors in one GPU object must be the same device type." + "All tensors in an RDT object must have the same device type." ) tensor_meta.append((t.shape, t.dtype)) return CollectiveTransportMetadata( @@ -105,7 +105,7 @@ def get_communicator_metadata( elif len(communicators) > 1: raise ValueError( f"There are {len(communicators)} possible communicators that contain actors {src_actor} and {dst_actor}. " - "Currently, GPU objects only support one communicator. Please make sure only " + "Currently, RDT objects only support one communicator. Please make sure only " "one communicator exists." ) communicator = communicators[0] diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index 2046f55ac9eb..45149a0b0608 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -78,7 +78,7 @@ def __ray_get_tensor_transport_metadata__( for t in gpu_object: if t.device.type != device.type: raise ValueError( - "All tensors in one GPU object must be the same device type." + "All tensors in an RDT object must have the same device type." ) tensor_meta.append((t.shape, t.dtype)) else: diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index d526a8b4ff6f..3bd9f532ad1d 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -253,7 +253,7 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: timeout=timeout, ): raise TimeoutError( - f"ObjectRef({obj_id}) not found in GPU object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" + f"ObjectRef({obj_id}) not found in RDT object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" ) def pop_object(self, obj_id: str) -> List["torch.Tensor"]: @@ -283,7 +283,7 @@ def wait_tensor_freed( lambda: tensor not in self._tensor_to_object_ids, timeout=timeout ): raise TimeoutError( - f"Tensor {tensor} not freed from GPU object store after {timeout}s. The tensor will not be freed until all ObjectRefs containing the tensor have gone out of scope." + f"Tensor {tensor} not freed from RDT object store after {timeout}s. The tensor will not be freed until all ObjectRefs containing the tensor have gone out of scope." ) def get_num_objects(self) -> int: diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index 0d17c4c76c91..cc66641dccf4 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -664,7 +664,7 @@ def test_gpu_object_ref_in_list_throws_exception(ray_start_regular): # Test: GPU ref inside a list should fail during task submission with pytest.raises( ValueError, - match="Passing GPU ObjectRefs inside data structures is not yet supported", + match="Passing RDT ObjectRefs inside data structures is not yet supported", ): actor.double.remote([gpu_ref]) @@ -672,7 +672,7 @@ def test_gpu_object_ref_in_list_throws_exception(ray_start_regular): normal_ref = ray.put("normal_data") with pytest.raises( ValueError, - match="Passing GPU ObjectRefs inside data structures is not yet supported", + match="Passing RDT ObjectRefs inside data structures is not yet supported", ): actor.double.remote([gpu_ref, normal_ref]) From 6f4a5c3b7a75a12b11990cb3bf8f9825330c8e36 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 9 Sep 2025 22:55:40 -0700 Subject: [PATCH 1136/1566] [bazel] change core BUILD files to BUILD.bazel (#56406) unify the naming across the repo Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/_common/tests/{BUILD => BUILD.bazel} | 0 python/ray/_private/{BUILD => BUILD.bazel} | 0 python/ray/_private/runtime_env/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/aws/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/azure/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/gcp/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/local/{BUILD => BUILD.bazel} | 0 python/ray/autoscaler/v2/{BUILD => BUILD.bazel} | 0 python/ray/dashboard/{BUILD => BUILD.bazel} | 0 python/ray/runtime_env/{BUILD => BUILD.bazel} | 0 python/ray/scripts/{BUILD => BUILD.bazel} | 0 python/ray/util/{BUILD => BUILD.bazel} | 0 python/ray/util/dask/{BUILD => BUILD.bazel} | 0 python/ray/util/dask/tests/{BUILD => BUILD.bazel} | 0 python/setup.py | 2 +- 16 files changed, 1 insertion(+), 1 deletion(-) rename python/ray/_common/tests/{BUILD => BUILD.bazel} (100%) rename python/ray/_private/{BUILD => BUILD.bazel} (100%) rename python/ray/_private/runtime_env/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/aws/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/azure/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/gcp/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/local/{BUILD => BUILD.bazel} (100%) rename python/ray/autoscaler/v2/{BUILD => BUILD.bazel} (100%) rename python/ray/dashboard/{BUILD => BUILD.bazel} (100%) rename python/ray/runtime_env/{BUILD => BUILD.bazel} (100%) rename python/ray/scripts/{BUILD => BUILD.bazel} (100%) rename python/ray/util/{BUILD => BUILD.bazel} (100%) rename python/ray/util/dask/{BUILD => BUILD.bazel} (100%) rename python/ray/util/dask/tests/{BUILD => BUILD.bazel} (100%) diff --git a/python/ray/_common/tests/BUILD b/python/ray/_common/tests/BUILD.bazel similarity index 100% rename from python/ray/_common/tests/BUILD rename to python/ray/_common/tests/BUILD.bazel diff --git a/python/ray/_private/BUILD b/python/ray/_private/BUILD.bazel similarity index 100% rename from python/ray/_private/BUILD rename to python/ray/_private/BUILD.bazel diff --git a/python/ray/_private/runtime_env/BUILD b/python/ray/_private/runtime_env/BUILD.bazel similarity index 100% rename from python/ray/_private/runtime_env/BUILD rename to python/ray/_private/runtime_env/BUILD.bazel diff --git a/python/ray/autoscaler/BUILD b/python/ray/autoscaler/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/BUILD rename to python/ray/autoscaler/BUILD.bazel diff --git a/python/ray/autoscaler/aws/BUILD b/python/ray/autoscaler/aws/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/aws/BUILD rename to python/ray/autoscaler/aws/BUILD.bazel diff --git a/python/ray/autoscaler/azure/BUILD b/python/ray/autoscaler/azure/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/azure/BUILD rename to python/ray/autoscaler/azure/BUILD.bazel diff --git a/python/ray/autoscaler/gcp/BUILD b/python/ray/autoscaler/gcp/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/gcp/BUILD rename to python/ray/autoscaler/gcp/BUILD.bazel diff --git a/python/ray/autoscaler/local/BUILD b/python/ray/autoscaler/local/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/local/BUILD rename to python/ray/autoscaler/local/BUILD.bazel diff --git a/python/ray/autoscaler/v2/BUILD b/python/ray/autoscaler/v2/BUILD.bazel similarity index 100% rename from python/ray/autoscaler/v2/BUILD rename to python/ray/autoscaler/v2/BUILD.bazel diff --git a/python/ray/dashboard/BUILD b/python/ray/dashboard/BUILD.bazel similarity index 100% rename from python/ray/dashboard/BUILD rename to python/ray/dashboard/BUILD.bazel diff --git a/python/ray/runtime_env/BUILD b/python/ray/runtime_env/BUILD.bazel similarity index 100% rename from python/ray/runtime_env/BUILD rename to python/ray/runtime_env/BUILD.bazel diff --git a/python/ray/scripts/BUILD b/python/ray/scripts/BUILD.bazel similarity index 100% rename from python/ray/scripts/BUILD rename to python/ray/scripts/BUILD.bazel diff --git a/python/ray/util/BUILD b/python/ray/util/BUILD.bazel similarity index 100% rename from python/ray/util/BUILD rename to python/ray/util/BUILD.bazel diff --git a/python/ray/util/dask/BUILD b/python/ray/util/dask/BUILD.bazel similarity index 100% rename from python/ray/util/dask/BUILD rename to python/ray/util/dask/BUILD.bazel diff --git a/python/ray/util/dask/tests/BUILD b/python/ray/util/dask/tests/BUILD.bazel similarity index 100% rename from python/ray/util/dask/tests/BUILD rename to python/ray/util/dask/tests/BUILD.bazel diff --git a/python/setup.py b/python/setup.py index d4770cd2f8c8..60024b4b8c1f 100644 --- a/python/setup.py +++ b/python/setup.py @@ -805,7 +805,7 @@ def has_ext_modules(self): exclude_package_data={ # Empty string means "any package". # Therefore, exclude BUILD from every package: - "": ["BUILD"], + "": ["BUILD", "BUILD.bazel"], }, zip_safe=False, license="Apache 2.0", From c3a2f6eb46c2f54da59eed1995afc30f76567f6e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 9 Sep 2025 23:52:13 -0700 Subject: [PATCH 1137/1566] [wheel] remove nvm from manylinux build (#56376) use node directly. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-manylinux-forge.sh | 61 +++++++++++++++++++---------- ci/build/build-manylinux-ray.sh | 10 +++-- ci/ci.sh | 20 +++++----- python/build-wheel-manylinux2014.sh | 1 - 4 files changed, 59 insertions(+), 33 deletions(-) diff --git a/ci/build/build-manylinux-forge.sh b/ci/build/build-manylinux-forge.sh index 8c98069343f7..3553cdac7509 100755 --- a/ci/build/build-manylinux-forge.sh +++ b/ci/build/build-manylinux-forge.sh @@ -5,9 +5,22 @@ set -exuo pipefail BAZELISK_VERSION="v1.26.0" -platform="linux" +ARCH="$(uname -m)" -echo "Architecture(HOSTTYPE) is ${HOSTTYPE}" +case "$ARCH" in + x86_64|amd64) + ARCH="x86_64" + ;; + aarch64|arm64) + ARCH="aarch64" + ;; + *) + echo "Unsupported arch: $ARCH" >&2 + exit 1 + ;; +esac + +echo "Architecture is ${ARCH}" if [[ ! -e /usr/bin/nproc ]]; then echo -e '#!/bin/bash\necho 10' > "/usr/bin/nproc" @@ -16,7 +29,7 @@ fi # Install ray cpp dependencies. sudo yum -y install unzip zip sudo openssl xz -if [[ "${HOSTTYPE-}" == "x86_64" ]]; then +if [[ "${ARCH}" == "x86_64" ]]; then sudo yum -y install libasan-4.8.5-44.el7.x86_64 libubsan-7.3.1-5.10.el7.x86_64 \ devtoolset-8-libasan-devel.x86_64 fi @@ -30,28 +43,36 @@ if [[ "${RAYCI_DISABLE_JAVA:-false}" != "true" && "${RAY_INSTALL_JAVA:-1}" == "1 export JAVA_HOME="${JAVA_BIN%jre/bin/java}" fi -# Install ray dashboard dependencies. -curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.34.0/install.sh | bash -source "$HOME"/.nvm/nvm.sh +# Install nodejs +NODE_VERSION_FULL="${NODE_VERSION_FULL:-14.21.3}" + +if [[ "${ARCH}" == "x86_64" ]]; then + NODE_URL="https://nodejs.org/dist/v${NODE_VERSION_FULL}/node-v${NODE_VERSION_FULL}-linux-x64.tar.xz" + NODE_SHA256="05c08a107c50572ab39ce9e8663a2a2d696b5d262d5bd6f98d84b997ce932d9a" +else # aarch64 + NODE_URL="https://nodejs.org/dist/v${NODE_VERSION_FULL}/node-v${NODE_VERSION_FULL}-linux-arm64.tar.xz" + NODE_SHA256="f06642bfcf0b8cc50231624629bec58b183954641b638e38ed6f94cd39e8a6ef" +fi -NODE_VERSION="14" -nvm install "$NODE_VERSION" -nvm use "$NODE_VERSION" +NODE_DIR="/usr/local/node" +curl -fsSL "${NODE_URL}" -o /tmp/node.tar.xz +echo "$NODE_SHA256 /tmp/node.tar.xz" | sha256sum -c - +sudo mkdir -p "$NODE_DIR" +sudo tar -xf /tmp/node.tar.xz -C "$NODE_DIR" --strip-components=1 +rm /tmp/node.tar.xz # Install bazel mkdir -p "$HOME"/bin -if [[ "${HOSTTYPE}" == "aarch64" || "${HOSTTYPE}" = "arm64" ]]; then - # architecture is "aarch64", but the bazel tag is "arm64" - BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-${platform}-arm64" -elif [[ "${HOSTTYPE}" == "x86_64" ]]; then - BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-${platform}-amd64" -else - echo "Could not found matching bazelisk URL for platform ${platform} and architecture ${HOSTTYPE}" - exit 1 +if [[ "${ARCH}" == "x86_64" ]]; then + BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-linux-amd64" +else # aarch64 + BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/${BAZELISK_VERSION}/bazelisk-linux-arm64" fi -curl -sSfL -o "$HOME"/bin/bazelisk "${BAZELISK_URL}" -chmod +x "$HOME"/bin/bazelisk -sudo ln -sf "$HOME"/bin/bazelisk /usr/local/bin/bazel + +curl -sSfL -o /tmp/bazelisk "${BAZELISK_URL}" +chmod +x /tmp/bazelisk +sudo mv /tmp/bazelisk /usr/local/bin/bazelisk +sudo ln -sf /usr/local/bin/bazelisk /usr/local/bin/bazel # Use python3.9 as default python3 sudo ln -sf /usr/local/bin/python3.9 /usr/local/bin/python3 diff --git a/ci/build/build-manylinux-ray.sh b/ci/build/build-manylinux-ray.sh index e81eb1da9ea8..c32d23ac6347 100755 --- a/ci/build/build-manylinux-ray.sh +++ b/ci/build/build-manylinux-ray.sh @@ -11,7 +11,11 @@ if [[ "${RAY_INSTALL_JAVA}" == "1" ]]; then bazel build //java:ray_java_pkg fi +export PATH="/usr/local/node/bin:$PATH" + # Build ray dashboard -cd python/ray/dashboard/client -npm ci -npm run build +( + cd python/ray/dashboard/client + npm ci + npm run build +) diff --git a/ci/ci.sh b/ci/ci.sh index c228b0e3aa67..cea4b38f5e00 100755 --- a/ci/ci.sh +++ b/ci/ci.sh @@ -151,8 +151,8 @@ test_macos_wheels() { return "${TEST_WHEEL_RESULT}" } -install_npm_project() { - if [ "${OSTYPE}" = msys ]; then +_install_npm_project() { + if [[ "${OSTYPE}" == msys ]]; then # Not Windows-compatible: https://github.com/npm/cli/issues/558#issuecomment-584673763 { echo "WARNING: Skipping NPM due to module incompatibilities with Windows"; } 2> /dev/null else @@ -170,14 +170,16 @@ build_dashboard_front_end() { cd ray/dashboard/client # skip nvm activation on buildkite linux instances. - if [ -z "${BUILDKITE-}" ] || [[ "${OSTYPE}" != linux* ]]; then - set +x # suppress set -x since it'll get very noisy here - . "${HOME}/.nvm/nvm.sh" - NODE_VERSION="14" - nvm install $NODE_VERSION - nvm use --silent $NODE_VERSION + if [[ -z "${BUILDKITE-}" || "${OSTYPE}" != linux* ]]; then + if [[ -d "${HOME}/.nvm" ]]; then + set +x # suppress set -x since it'll get very noisy here + . "${HOME}/.nvm/nvm.sh" + NODE_VERSION="14" + nvm install $NODE_VERSION + nvm use --silent $NODE_VERSION + fi fi - install_npm_project + _install_npm_project npm run build ) fi diff --git a/python/build-wheel-manylinux2014.sh b/python/build-wheel-manylinux2014.sh index 9444765cddbc..d065fb3b6255 100755 --- a/python/build-wheel-manylinux2014.sh +++ b/python/build-wheel-manylinux2014.sh @@ -37,7 +37,6 @@ PYTHON_VERSIONS=( # Setup runtime environment ./ci/build/build-manylinux-forge.sh -source "$HOME"/.nvm/nvm.sh # Compile ray ./ci/build/build-manylinux-ray.sh From 70a9fdfd1f0bea69a738ba039db194b79210ce0b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 10 Sep 2025 00:16:55 -0700 Subject: [PATCH 1138/1566] [bazel] rename train/tune/air BUILD files to BUILD.bazel (#56410) unify naming convention across the repo Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/air/{BUILD => BUILD.bazel} | 0 python/ray/train/{BUILD => BUILD.bazel} | 0 python/ray/train/v2/{BUILD => BUILD.bazel} | 0 python/ray/tune/{BUILD => BUILD.bazel} | 0 4 files changed, 0 insertions(+), 0 deletions(-) rename python/ray/air/{BUILD => BUILD.bazel} (100%) rename python/ray/train/{BUILD => BUILD.bazel} (100%) rename python/ray/train/v2/{BUILD => BUILD.bazel} (100%) rename python/ray/tune/{BUILD => BUILD.bazel} (100%) diff --git a/python/ray/air/BUILD b/python/ray/air/BUILD.bazel similarity index 100% rename from python/ray/air/BUILD rename to python/ray/air/BUILD.bazel diff --git a/python/ray/train/BUILD b/python/ray/train/BUILD.bazel similarity index 100% rename from python/ray/train/BUILD rename to python/ray/train/BUILD.bazel diff --git a/python/ray/train/v2/BUILD b/python/ray/train/v2/BUILD.bazel similarity index 100% rename from python/ray/train/v2/BUILD rename to python/ray/train/v2/BUILD.bazel diff --git a/python/ray/tune/BUILD b/python/ray/tune/BUILD.bazel similarity index 100% rename from python/ray/tune/BUILD rename to python/ray/tune/BUILD.bazel From ef35dedd1b1eb2837232cdf11e7f6870b4cbba13 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 10 Sep 2025 01:41:45 -0700 Subject: [PATCH 1139/1566] [core][rdt] Fix check crash on gpu obj free if driver knows actor is dead (#56404) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker_process.cc | 9 ++++++--- src/ray/core_worker/task_manager.cc | 10 +++++++--- src/ray/core_worker/task_manager.h | 8 ++++---- 3 files changed, 17 insertions(+), 10 deletions(-) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index aaa3515264a2..b8c751b578b6 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -470,11 +470,14 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( RayConfig::instance().max_lineage_bytes(), *task_event_buffer, /*get_actor_rpc_client_callback=*/ - [this](const ActorID &actor_id) { + [this](const ActorID &actor_id) + -> std::optional> { auto core_worker = GetCoreWorker(); auto addr = core_worker->actor_task_submitter_->GetActorAddress(actor_id); - RAY_CHECK(addr.has_value()) << "Actor address not found for actor " << actor_id; - return core_worker->core_worker_client_pool_->GetOrConnect(addr.value()); + if (!addr.has_value()) { + return std::nullopt; + } + return core_worker->core_worker_client_pool_->GetOrConnect(*addr); }, gcs_client, task_by_state_counter_); diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index ffd18eb96a18..ca5a08b64dc0 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -311,11 +311,15 @@ std::vector TaskManager::AddPendingTask( return_object_id, [this](const ObjectID &object_id) { auto actor_id = ObjectID::ToActorID(object_id); auto rpc_client = get_actor_rpc_client_callback_(actor_id); - auto request = rpc::FreeActorObjectRequest(); + if (!rpc_client.has_value()) { + // ActorTaskSubmitter already knows the actor is already dead. + return; + } + rpc::FreeActorObjectRequest request; request.set_object_id(object_id.Binary()); - rpc_client->FreeActorObject( + rpc_client.value()->FreeActorObject( request, - [object_id, actor_id](Status status, + [object_id, actor_id](const Status &status, const rpc::FreeActorObjectReply &reply) { if (!status.ok()) { RAY_LOG(ERROR).WithField(object_id).WithField(actor_id) diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 9d334eb226b7..31f010bca283 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -183,8 +183,8 @@ class TaskManager : public TaskManagerInterface { PushErrorCallback push_error_callback, int64_t max_lineage_bytes, worker::TaskEventBuffer &task_event_buffer, - std::function(const ActorID &)> - client_factory, + std::function>( + const ActorID &)> get_actor_rpc_client_callback, std::shared_ptr gcs_client, ray::observability::MetricInterface &task_by_state_counter) : in_memory_store_(in_memory_store), @@ -195,7 +195,7 @@ class TaskManager : public TaskManagerInterface { push_error_callback_(std::move(push_error_callback)), max_lineage_bytes_(max_lineage_bytes), task_event_buffer_(task_event_buffer), - get_actor_rpc_client_callback_(std::move(client_factory)), + get_actor_rpc_client_callback_(std::move(get_actor_rpc_client_callback)), gcs_client_(std::move(gcs_client)), task_by_state_counter_(task_by_state_counter) { task_counter_.SetOnChangeCallback( @@ -796,7 +796,7 @@ class TaskManager : public TaskManagerInterface { worker::TaskEventBuffer &task_event_buffer_; /// Callback to get the actor RPC client. - std::function( + std::function>( const ActorID &actor_id)> get_actor_rpc_client_callback_; From 8368d6cd607012a4c6ff698bb971b98839cbf93f Mon Sep 17 00:00:00 2001 From: Aleksei Starikov Date: Wed, 10 Sep 2025 17:39:40 +0200 Subject: [PATCH 1140/1566] [data.llm][API] Allow tuple for concurrency arg (#55867) Signed-off-by: Aleksei Starikov Signed-off-by: Nikhil Ghosh Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 - python/ray/data/llm.py | 23 +++++- .../ray/llm/_internal/batch/processor/base.py | 80 +++++++++++++++++-- .../batch/processor/sglang_engine_proc.py | 10 +-- .../batch/processor/vllm_engine_proc.py | 23 ++---- .../cpu/processor/test_processor_base.py | 80 +++++++++++++++++-- release/llm_tests/batch/test_batch_vllm.py | 7 +- 7 files changed, 186 insertions(+), 41 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 8aa286605a2c..9ee8a2b39ad0 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1480,10 +1480,6 @@ python/ray/llm/_internal/batch/processor/base.py DOC101: Method `ProcessorBuilder.build`: Docstring contains fewer arguments than in function signature. DOC103: Method `ProcessorBuilder.build`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: ]. -------------------- -python/ray/llm/_internal/batch/processor/vllm_engine_proc.py - DOC101: Function `build_vllm_engine_processor`: Docstring contains fewer arguments than in function signature. - DOC103: Function `build_vllm_engine_processor`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [telemetry_agent: Optional[TelemetryAgent]]. --------------------- python/ray/llm/_internal/batch/stages/base.py DOC405: Method `StatefulStageUDF.__call__` has both "return" and "yield" statements. Please use Generator[YieldType, SendType, ReturnType] as the return type annotation, and put your yield type in YieldType and return type in ReturnType. More details in https://jsh9.github.io/pydoclint/notes_generator_vs_iterator.html -------------------- diff --git a/python/ray/data/llm.py b/python/ray/data/llm.py index 0e8055771795..a0718c597e98 100644 --- a/python/ray/data/llm.py +++ b/python/ray/data/llm.py @@ -28,6 +28,11 @@ class ProcessorConfig(_ProcessorConfig): accelerator_type: The accelerator type used by the LLM stage in a processor. Default to None, meaning that only the CPU will be used. concurrency: The number of workers for data parallelism. Default to 1. + If ``concurrency`` is a ``tuple`` ``(m, n)``, Ray creates an autoscaling + actor pool that scales between ``m`` and ``n`` workers (``1 <= m <= n``). + If ``concurrency`` is an ``int`` ``n``, Ray uses either a fixed pool of ``n`` + workers or an autoscaling pool from ``1`` to ``n`` workers, depending on + the processor and stage. """ pass @@ -41,7 +46,9 @@ class HttpRequestProcessorConfig(_HttpRequestProcessorConfig): batch_size: The batch size to send to the HTTP request. url: The URL to send the HTTP request to. headers: The headers to send with the HTTP request. - concurrency: The number of concurrent requests to send. + concurrency: The number of concurrent requests to send. Default to 1. + If ``concurrency`` is a ``tuple`` ``(m, n)``, + autoscaling strategy is used (``1 <= m <= n``). Examples: .. testcode:: @@ -116,6 +123,10 @@ class vLLMEngineProcessorConfig(_vLLMEngineProcessorConfig): accelerator_type: The accelerator type used by the LLM stage in a processor. Default to None, meaning that only the CPU will be used. concurrency: The number of workers for data parallelism. Default to 1. + If ``concurrency`` is a tuple ``(m, n)``, Ray creates an autoscaling + actor pool that scales between ``m`` and ``n`` workers (``1 <= m <= n``). + If ``concurrency`` is an ``int`` ``n``, CPU stages use an autoscaling + pool from ``(1, n)``, while GPU stages use a fixed pool of ``n`` workers. Examples: @@ -177,7 +188,7 @@ class SGLangEngineProcessorConfig(_SGLangEngineProcessorConfig): Args: model_source: The model source to use for the SGLang engine. - batch_size: The batch size to send to the vLLM engine. Large batch sizes are + batch_size: The batch size to send to the SGLang engine. Large batch sizes are likely to saturate the compute resources and could achieve higher throughput. On the other hand, small batch sizes are more fault-tolerant and could reduce bubbles in the data pipeline. You can tune the batch size to balance @@ -197,12 +208,16 @@ class SGLangEngineProcessorConfig(_SGLangEngineProcessorConfig): apply_chat_template: Whether to apply chat template. chat_template: The chat template to use. This is usually not needed if the model checkpoint already contains the chat template. - tokenize: Whether to tokenize the input before passing it to the vLLM engine. - If not, vLLM will tokenize the prompt in the engine. + tokenize: Whether to tokenize the input before passing it to the SGLang engine. + If not, SGLang will tokenize the prompt in the engine. detokenize: Whether to detokenize the output. accelerator_type: The accelerator type used by the LLM stage in a processor. Default to None, meaning that only the CPU will be used. concurrency: The number of workers for data parallelism. Default to 1. + If ``concurrency`` is a tuple ``(m, n)``, Ray creates an autoscaling + actor pool that scales between ``m`` and ``n`` workers (``1 <= m <= n``). + If ``concurrency`` is an ``int`` ``n``, CPU stages use an autoscaling + pool from ``(1, n)``, while GPU stages use a fixed pool of ``n`` workers. Examples: .. testcode:: diff --git a/python/ray/llm/_internal/batch/processor/base.py b/python/ray/llm/_internal/batch/processor/base.py index 049e5c2685f5..2029a1a0d33b 100644 --- a/python/ray/llm/_internal/batch/processor/base.py +++ b/python/ray/llm/_internal/batch/processor/base.py @@ -1,8 +1,8 @@ import logging from collections import OrderedDict -from typing import Any, Callable, Dict, List, Optional, Type +from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union -from pydantic import Field +from pydantic import Field, field_validator import ray from ray.data import Dataset @@ -45,9 +45,14 @@ class ProcessorConfig(BaseModelExtended): description="The accelerator type used by the LLM stage in a processor. " "Default to None, meaning that only the CPU will be used.", ) - concurrency: Optional[int] = Field( + concurrency: Union[int, Tuple[int, int]] = Field( default=1, - description="The number of workers for data parallelism. Default to 1.", + description="The number of workers for data parallelism. Default to 1. " + "If ``concurrency`` is a ``tuple`` ``(m, n)``, Ray creates an autoscaling " + "actor pool that scales between ``m`` and ``n`` workers (``1 <= m <= n``). " + "If ``concurrency`` is an ``int`` ``n``, Ray uses either a fixed pool of ``n`` " + "workers or an autoscaling pool from ``1`` to ``n`` workers, depending on " + "the processor and stage.", ) experimental: Dict[str, Any] = Field( @@ -57,6 +62,71 @@ class ProcessorConfig(BaseModelExtended): "`max_tasks_in_flight_per_actor`: The maximum number of tasks in flight per actor. Default to 4.", ) + @field_validator("concurrency") + def validate_concurrency( + cls, concurrency: Union[int, Tuple[int, int]] + ) -> Union[int, Tuple[int, int]]: + """Validate that `concurrency` is either: + - a positive int, or + - a 2-tuple `(min, max)` of positive ints with `min <= max`. + """ + + def require(condition: bool, message: str) -> None: + if not condition: + raise ValueError(message) + + if isinstance(concurrency, int): + require( + concurrency > 0, + f"A positive integer for `concurrency` is expected! Got: `{concurrency}`.", + ) + elif isinstance(concurrency, tuple): + require( + all(c > 0 for c in concurrency), + f"`concurrency` tuple items must be positive integers! Got: `{concurrency}`.", + ) + + min_concurrency, max_concurrency = concurrency + require( + min_concurrency <= max_concurrency, + f"min > max in the concurrency tuple `{concurrency}`!", + ) + return concurrency + + def get_concurrency(self, autoscaling_enabled: bool = True) -> Tuple[int, int]: + """Return a normalized `(min, max)` worker range from `self.concurrency`. + + Behavior: + - If `concurrency` is an int `n`: + - `autoscaling_enabled` is True -> return `(1, n)` (autoscaling). + - `autoscaling_enabled` is False -> return `(n, n)` (fixed-size pool). + - If `concurrency` is a 2-tuple `(m, n)`, return it unchanged + (the `autoscaling_enabled` flag is ignored). + + Args: + autoscaling_enabled: When False, treat an integer `concurrency` as fixed `(n, n)`; + otherwise treat it as a range `(1, n)`. Defaults to True. + + Returns: + tuple[int, int]: The allowed worker range `(min, max)`. + + Examples: + >>> self.concurrency = (2, 4) + >>> self.get_concurrency() + (2, 4) + >>> self.concurrency = 4 + >>> self.get_concurrency() + (1, 4) + >>> self.get_concurrency(autoscaling_enabled=False) + (4, 4) + """ + if isinstance(self.concurrency, int): + if autoscaling_enabled: + return 1, self.concurrency + else: + return self.concurrency, self.concurrency + return self.concurrency + class Config: validate_assignment = True arbitrary_types_allowed = True @@ -263,7 +333,7 @@ class ProcessorBuilder: @classmethod def register(cls, config_type: Type[ProcessorConfig], builder: Callable) -> None: - """A decorator to assoicate a particular pipeline config + """A decorator to associate a particular pipeline config with its build function. """ type_name = config_type.__name__ diff --git a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py index 1156e830177d..602536fc0ad5 100644 --- a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py @@ -85,7 +85,7 @@ def build_sglang_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=(1, config.concurrency), + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), @@ -100,7 +100,7 @@ def build_sglang_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=(1, config.concurrency), + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), @@ -123,8 +123,8 @@ def build_sglang_engine_processor( # which initiates enough many overlapping UDF calls per actor, to # saturate `max_concurrency`. compute=ray.data.ActorPoolStrategy( - min_size=config.concurrency, - max_size=config.concurrency, + min_size=config.get_concurrency(autoscaling_enabled=False)[0], + max_size=config.get_concurrency(autoscaling_enabled=False)[1], max_tasks_in_flight_per_actor=config.experimental.get( "max_tasks_in_flight_per_actor", DEFAULT_MAX_TASKS_IN_FLIGHT ), @@ -148,7 +148,7 @@ def build_sglang_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=(1, config.concurrency), + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), diff --git a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py index 2fdd80c641d4..da88c482feb8 100644 --- a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py @@ -80,6 +80,7 @@ def build_vllm_engine_processor( required fields for the following processing stages. postprocess: An optional lambda function that takes a row (dict) as input and returns a postprocessed row (dict). + telemetry_agent: An optional telemetry agent for collecting usage telemetry. Returns: The constructed processor. @@ -87,21 +88,13 @@ def build_vllm_engine_processor( ray.init(runtime_env=config.runtime_env, ignore_reinit_error=True) stages = [] - if isinstance(config.concurrency, int): - # For CPU-only stages, we leverage auto-scaling to recycle resources. - processor_concurrency = (1, config.concurrency) - else: - raise ValueError( - "``concurrency`` is expected to be set as an integer," - f" but got: {config.concurrency}." - ) if config.has_image: stages.append( PrepareImageStage( map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=processor_concurrency, + concurrency=config.get_concurrency(), batch_size=config.batch_size, ), ) @@ -115,7 +108,7 @@ def build_vllm_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=processor_concurrency, + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), @@ -130,7 +123,7 @@ def build_vllm_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=processor_concurrency, + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), @@ -157,10 +150,8 @@ def build_vllm_engine_processor( # which initiates enough many overlapping UDF calls per actor, to # saturate `max_concurrency`. compute=ray.data.ActorPoolStrategy( - # vLLM start up time is significant, so if user give fixed - # concurrency, start all instances without auto-scaling. - min_size=config.concurrency, - max_size=config.concurrency, + min_size=config.get_concurrency(autoscaling_enabled=False)[0], + max_size=config.get_concurrency(autoscaling_enabled=False)[1], max_tasks_in_flight_per_actor=config.experimental.get( "max_tasks_in_flight_per_actor", DEFAULT_MAX_TASKS_IN_FLIGHT ), @@ -184,7 +175,7 @@ def build_vllm_engine_processor( ), map_batches_kwargs=dict( zero_copy_batch=True, - concurrency=processor_concurrency, + concurrency=config.get_concurrency(), batch_size=config.batch_size, runtime_env=config.runtime_env, ), diff --git a/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py b/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py index 4e2b64323c64..ba93421d8252 100644 --- a/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py +++ b/python/ray/llm/tests/batch/cpu/processor/test_processor_base.py @@ -190,17 +190,87 @@ def overrider(name: str, stage: StatefulStage): class TestProcessorConfig: def test_valid_concurrency(self): + config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + concurrency=(1, 2), + ) + assert config.concurrency == (1, 2) - with pytest.raises(pydantic.ValidationError, match="should be a valid integer"): - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.2-1B-Instruct", - concurrency=(1, 2), - ) config = vLLMEngineProcessorConfig( model_source="unsloth/Llama-3.2-1B-Instruct", ) assert config.concurrency == 1 + def test_invalid_concurrency(self): + with pytest.raises(pydantic.ValidationError): + vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + concurrency=1.1, + ) + + with pytest.raises(pydantic.ValidationError): + vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.2-1B-Instruct", + concurrency=[1, 2, 3], + ) + + @pytest.mark.parametrize("n", [1, 2, 10]) + def test_positive_int_not_fail(self, n): + conf = ProcessorConfig(concurrency=n) + assert conf.concurrency == n + + def test_positive_int_unusual_not_fail(self): + assert ProcessorConfig(concurrency="1").concurrency == 1 + assert ProcessorConfig(concurrency=1.0).concurrency == 1 + assert ProcessorConfig(concurrency="1.0").concurrency == 1 + + @pytest.mark.parametrize("pair", [(1, 1), (1, 2), (2, 8)]) + def test_valid_tuple_not_fail(self, pair): + conf = ProcessorConfig(concurrency=pair) + assert conf.concurrency == pair + + def test_valid_tuple_unusual_not_fail(self): + assert ProcessorConfig(concurrency=("1", 2)).concurrency == (1, 2) + assert ProcessorConfig(concurrency=(1, "2")).concurrency == (1, 2) + assert ProcessorConfig(concurrency=[1, "2"]).concurrency == (1, 2) + + @pytest.mark.parametrize( + "bad,msg_part", + [ + (0, "positive integer"), + (-5, "positive integer"), + ((1, 2, 3), "at most 2 items"), + ((0, 1), "positive integers"), + ((1, 0), "positive integers"), + ((-1, 2), "positive integers"), + ((1, -2), "positive integers"), + ((1, 2.5), "a number with a fractional part"), + ("2.1", "unable to parse string"), + ((5, 2), "min > max"), + ], + ) + def test_invalid_inputs_raise(self, bad, msg_part): + with pytest.raises(pydantic.ValidationError) as e: + ProcessorConfig(concurrency=bad) + assert msg_part in str(e.value) + + @pytest.mark.parametrize( + "n,expected", [(1, (1, 1)), (4, (1, 4)), (10, (1, 10)), ("10", (1, 10))] + ) + def test_with_int_concurrency_scaling(self, n, expected): + conf = ProcessorConfig(concurrency=n) + assert conf.get_concurrency() == expected + + @pytest.mark.parametrize("n,expected", [(1, (1, 1)), (4, (4, 4)), (10, (10, 10))]) + def test_with_int_concurrency_fixed(self, n, expected): + conf = ProcessorConfig(concurrency=n) + assert conf.get_concurrency(autoscaling_enabled=False) == expected + + @pytest.mark.parametrize("pair", [(1, 1), (1, 3), (2, 8)]) + def test_with_tuple_concurrency(self, pair): + conf = ProcessorConfig(concurrency=pair) + assert conf.get_concurrency() == pair + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/release/llm_tests/batch/test_batch_vllm.py b/release/llm_tests/batch/test_batch_vllm.py index 231153dedeb1..dea0adca7367 100644 --- a/release/llm_tests/batch/test_batch_vllm.py +++ b/release/llm_tests/batch/test_batch_vllm.py @@ -27,9 +27,12 @@ def add_buffer_time_between_tests(): """Add buffer time after each test to avoid resource conflicts, which cause flakiness. """ - yield # Test runs here + # yield # test runs + # time.sleep(10) + import gc - time.sleep(10) + gc.collect() + time.sleep(15) def test_chat_template_with_vllm(): From 93f3f5538c9698f5dd7014ff93075e2b9577cdf8 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 10 Sep 2025 08:49:15 -0700 Subject: [PATCH 1141/1566] [bazel] change all BUILD files from BUILD to BUILD.bazel (#56337) unify naming conventions across the entire repository Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/dag/{BUILD => BUILD.bazel} | 0 python/ray/data/{BUILD => BUILD.bazel} | 0 python/ray/experimental/{BUILD => BUILD.bazel} | 0 python/ray/llm/tests/{BUILD => BUILD.bazel} | 0 python/ray/serve/{BUILD => BUILD.bazel} | 0 python/ray/serve/tests/{BUILD => BUILD.bazel} | 0 python/ray/serve/tests/unit/{BUILD => BUILD.bazel} | 0 python/ray/tests/{BUILD => BUILD.bazel} | 0 python/ray/tests/horovod/{BUILD => BUILD.bazel} | 0 python/ray/tests/ludwig/{BUILD => BUILD.bazel} | 0 python/ray/tests/modin/{BUILD => BUILD.bazel} | 0 python/ray/tests/unit/{BUILD => BUILD.bazel} | 0 rllib/{BUILD => BUILD.bazel} | 0 13 files changed, 0 insertions(+), 0 deletions(-) rename python/ray/dag/{BUILD => BUILD.bazel} (100%) rename python/ray/data/{BUILD => BUILD.bazel} (100%) rename python/ray/experimental/{BUILD => BUILD.bazel} (100%) rename python/ray/llm/tests/{BUILD => BUILD.bazel} (100%) rename python/ray/serve/{BUILD => BUILD.bazel} (100%) rename python/ray/serve/tests/{BUILD => BUILD.bazel} (100%) rename python/ray/serve/tests/unit/{BUILD => BUILD.bazel} (100%) rename python/ray/tests/{BUILD => BUILD.bazel} (100%) rename python/ray/tests/horovod/{BUILD => BUILD.bazel} (100%) rename python/ray/tests/ludwig/{BUILD => BUILD.bazel} (100%) rename python/ray/tests/modin/{BUILD => BUILD.bazel} (100%) rename python/ray/tests/unit/{BUILD => BUILD.bazel} (100%) rename rllib/{BUILD => BUILD.bazel} (100%) diff --git a/python/ray/dag/BUILD b/python/ray/dag/BUILD.bazel similarity index 100% rename from python/ray/dag/BUILD rename to python/ray/dag/BUILD.bazel diff --git a/python/ray/data/BUILD b/python/ray/data/BUILD.bazel similarity index 100% rename from python/ray/data/BUILD rename to python/ray/data/BUILD.bazel diff --git a/python/ray/experimental/BUILD b/python/ray/experimental/BUILD.bazel similarity index 100% rename from python/ray/experimental/BUILD rename to python/ray/experimental/BUILD.bazel diff --git a/python/ray/llm/tests/BUILD b/python/ray/llm/tests/BUILD.bazel similarity index 100% rename from python/ray/llm/tests/BUILD rename to python/ray/llm/tests/BUILD.bazel diff --git a/python/ray/serve/BUILD b/python/ray/serve/BUILD.bazel similarity index 100% rename from python/ray/serve/BUILD rename to python/ray/serve/BUILD.bazel diff --git a/python/ray/serve/tests/BUILD b/python/ray/serve/tests/BUILD.bazel similarity index 100% rename from python/ray/serve/tests/BUILD rename to python/ray/serve/tests/BUILD.bazel diff --git a/python/ray/serve/tests/unit/BUILD b/python/ray/serve/tests/unit/BUILD.bazel similarity index 100% rename from python/ray/serve/tests/unit/BUILD rename to python/ray/serve/tests/unit/BUILD.bazel diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD.bazel similarity index 100% rename from python/ray/tests/BUILD rename to python/ray/tests/BUILD.bazel diff --git a/python/ray/tests/horovod/BUILD b/python/ray/tests/horovod/BUILD.bazel similarity index 100% rename from python/ray/tests/horovod/BUILD rename to python/ray/tests/horovod/BUILD.bazel diff --git a/python/ray/tests/ludwig/BUILD b/python/ray/tests/ludwig/BUILD.bazel similarity index 100% rename from python/ray/tests/ludwig/BUILD rename to python/ray/tests/ludwig/BUILD.bazel diff --git a/python/ray/tests/modin/BUILD b/python/ray/tests/modin/BUILD.bazel similarity index 100% rename from python/ray/tests/modin/BUILD rename to python/ray/tests/modin/BUILD.bazel diff --git a/python/ray/tests/unit/BUILD b/python/ray/tests/unit/BUILD.bazel similarity index 100% rename from python/ray/tests/unit/BUILD rename to python/ray/tests/unit/BUILD.bazel diff --git a/rllib/BUILD b/rllib/BUILD.bazel similarity index 100% rename from rllib/BUILD rename to rllib/BUILD.bazel From dd2fba885eaeb1cfeb6bcfbaf235b2623467cb1c Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 10 Sep 2025 09:11:22 -0700 Subject: [PATCH 1142/1566] Make `ray-llm` code owner for `ray.data.llm` (#56420) ## Why are these changes needed? The LLM APIs under `ray.data.llm` are maintained by @ray-project/ray-llm, not the Data team. This PR updates the `CODEOWNERS` to reflect that responsibility, assigning ownership to the LLM team even though the code lives in the Data directory. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 8c4dbb3c0fa3..da43c939515c 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -67,6 +67,7 @@ # LLM /python/ray/llm/ @ray-project/ray-llm +/python/ray/data/llm.py @ray-project/ray-llm # Ray Serve /python/ray/serve/ @ray-project/ray-serve From a2976919f86e08942075ee2a1514fb38cec9e8b4 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 10 Sep 2025 09:39:18 -0700 Subject: [PATCH 1143/1566] foundation work for aggregating metrics on controller (#56295) This PR is part of the larger plan outlined [[here](https://gist.github.com/abrarsheikh/ac23e10a61925e0db04097c59e694add)]. ### Scope of this PR * **No functional changes introduced.** * Begin transition toward controller-side aggregation by sending **unaggregated `num_ongoing_requests`** from both replica and handle to the controller, **in addition to** existing aggregated values. * In future PRs, pre-aggregated values will be removed once controller-side aggregation is fully enabled. * **Refactor `HandleMetricReport` and `ReplicaMetricReport`:** * Moved from `autoscaling_state` to `commons`. * Objects are now created at the source instead of in `autoscaling_state`, simplifying code and avoiding passing individual attributes through the controller. * These reports will be extended in the future to carry **custom metrics**. * **Controller method renames** for improved clarity. * **New feature flag:** `RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS` * Emits warnings when replicas/handles are slow to send metrics to the controller. * Helps users operating large clusters identify and debug RPC communication issues earlier. ### Next Steps (Future PRs) 1. Introduce `RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER`. 2. Add user-defined aggregation functions in autoscaling config. 3. Perform aggregation on the controller (replacing pre-aggregated values from handle/replica), gated by the new flag. https://github.com/ray-project/ray/pull/56306 https://github.com/ray-project/ray/pull/56311 --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- .../serve/advanced-guides/performance.md | 2 +- .../ray/serve/_private/autoscaling_state.py | 133 +++----------- python/ray/serve/_private/common.py | 82 +++++++++ python/ray/serve/_private/constants.py | 5 + python/ray/serve/_private/controller.py | 54 +++--- python/ray/serve/_private/metrics_utils.py | 9 +- python/ray/serve/_private/replica.py | 19 +- python/ray/serve/_private/router.py | 52 ++++-- .../serve/tests/test_autoscaling_policy.py | 2 +- .../serve/tests/unit/test_deployment_state.py | 173 +++++++++++++----- python/ray/serve/tests/unit/test_router.py | 11 +- 11 files changed, 332 insertions(+), 210 deletions(-) diff --git a/doc/source/serve/advanced-guides/performance.md b/doc/source/serve/advanced-guides/performance.md index 634847dc5bc2..1cdff7ab7862 100644 --- a/doc/source/serve/advanced-guides/performance.md +++ b/doc/source/serve/advanced-guides/performance.md @@ -80,7 +80,7 @@ Ray Serve allows you to fine-tune the backoff behavior of the request router, wh The Serve Controller runs on the Ray head node and is responsible for a variety of tasks, including receiving autoscaling metrics from other Ray Serve components. If the Serve Controller becomes overloaded -(symptoms might include high CPU usage and a large number of pending `ServeController.record_handle_metrics` tasks), +(symptoms might include high CPU usage and a large number of pending `ServeController.record_autoscaling_metrics_from_handle` tasks), you can increase the interval between cycles of the control loop by setting the `RAY_SERVE_CONTROL_LOOP_INTERVAL_S` environment variable (defaults to `0.1` seconds). This setting gives the Controller more time to process requests and may help alleviate the overload. diff --git a/python/ray/serve/_private/autoscaling_state.py b/python/ray/serve/_private/autoscaling_state.py index c95abfa6cb5c..e7eace67b2d2 100644 --- a/python/ray/serve/_private/autoscaling_state.py +++ b/python/ray/serve/_private/autoscaling_state.py @@ -4,9 +4,11 @@ from typing import Any, Dict, List, Optional, Set from ray.serve._private.common import ( - DeploymentHandleSource, + RUNNING_REQUESTS_KEY, DeploymentID, + HandleMetricReport, ReplicaID, + ReplicaMetricReport, TargetCapacityDirection, ) from ray.serve._private.constants import ( @@ -19,65 +21,6 @@ logger = logging.getLogger(SERVE_LOGGER_NAME) -@dataclass -class HandleMetricReport: - """Report from a deployment handle on queued and ongoing requests. - - Args: - actor_id: If the deployment handle (from which this metric was - sent) lives on an actor, the actor ID of that actor. - handle_source: Describes what kind of entity holds this - deployment handle: a Serve proxy, a Serve replica, or - unknown. - queued_requests: The current number of queued requests at the - handle, i.e. requests that haven't been assigned to any - replica yet. - running_requests: A map of replica ID to the average number of - requests, assigned through the handle, running at that - replica. - timestamp: The time at which this report was received. - """ - - actor_id: Optional[str] - handle_source: DeploymentHandleSource - queued_requests: float - running_requests: Dict[ReplicaID, float] - timestamp: float - - @property - def total_requests(self) -> float: - """Total number of queued and running requests.""" - return self.queued_requests + sum(self.running_requests.values()) - - @property - def is_serve_component_source(self) -> bool: - """Whether the handle source is a Serve actor. - - More specifically, this returns whether a Serve actor tracked - by the controller holds the deployment handle that sent this - report. If the deployment handle lives on a driver, a Ray task, - or an actor that's not a Serve replica, then this returns False. - """ - return self.handle_source in [ - DeploymentHandleSource.PROXY, - DeploymentHandleSource.REPLICA, - ] - - -@dataclass -class ReplicaMetricReport: - """Report from a replica on ongoing requests. - - Args: - running_requests: Average number of running requests at the - replica. - timestamp: The time at which this report was received. - """ - - running_requests: float - timestamp: float - - @dataclass class AutoscalingContext: """Rich context provided to custom autoscaling policies.""" @@ -214,47 +157,32 @@ def apply_bounds(self, num_replicas: int) -> int: ) def record_request_metrics_for_replica( - self, replica_id: ReplicaID, window_avg: Optional[float], send_timestamp: float + self, replica_metric_report: ReplicaMetricReport ) -> None: """Records average number of ongoing requests at a replica.""" - if window_avg is None: - return - + replica_id = replica_metric_report.replica_id + send_timestamp = replica_metric_report.timestamp if ( replica_id not in self._replica_requests or send_timestamp > self._replica_requests[replica_id].timestamp ): - self._replica_requests[replica_id] = ReplicaMetricReport( - running_requests=window_avg, - timestamp=send_timestamp, - ) + self._replica_requests[replica_id] = replica_metric_report def record_request_metrics_for_handle( self, - *, - handle_id: str, - actor_id: Optional[str], - handle_source: DeploymentHandleSource, - queued_requests: float, - running_requests: Dict[ReplicaID, float], - send_timestamp: float, + handle_metric_report: HandleMetricReport, ) -> None: """Records average number of queued and running requests at a handle for this deployment. """ - + handle_id = handle_metric_report.handle_id + send_timestamp = handle_metric_report.timestamp if ( handle_id not in self._handle_requests or send_timestamp > self._handle_requests[handle_id].timestamp ): - self._handle_requests[handle_id] = HandleMetricReport( - actor_id=actor_id, - handle_source=handle_source, - queued_requests=queued_requests, - running_requests=running_requests, - timestamp=send_timestamp, - ) + self._handle_requests[handle_id] = handle_metric_report def drop_stale_handle_metrics(self, alive_serve_actor_ids: Set[str]) -> None: """Drops handle metrics that are no longer valid. @@ -353,16 +281,22 @@ def get_total_num_requests(self) -> float: for id in self._running_replicas: if id in self._replica_requests: - total_requests += self._replica_requests[id].running_requests + total_requests += self._replica_requests[id].aggregated_metrics.get( + RUNNING_REQUESTS_KEY + ) metrics_collected_on_replicas = total_requests > 0 for handle_metric in self._handle_requests.values(): total_requests += handle_metric.queued_requests if not metrics_collected_on_replicas: - for id in self._running_replicas: - if id in handle_metric.running_requests: - total_requests += handle_metric.running_requests[id] + for replica_id in self._running_replicas: + if replica_id in handle_metric.aggregated_metrics.get( + RUNNING_REQUESTS_KEY + ): + total_requests += handle_metric.aggregated_metrics.get( + RUNNING_REQUESTS_KEY + ).get(replica_id) return total_requests @@ -431,39 +365,26 @@ def is_within_bounds( ) def record_request_metrics_for_replica( - self, replica_id: ReplicaID, window_avg: Optional[float], send_timestamp: float + self, replica_metric_report: ReplicaMetricReport ) -> None: - deployment_id = replica_id.deployment_id + deployment_id = replica_metric_report.replica_id.deployment_id # Defensively guard against delayed replica metrics arriving # after the deployment's been deleted if deployment_id in self._autoscaling_states: self._autoscaling_states[deployment_id].record_request_metrics_for_replica( - replica_id=replica_id, - window_avg=window_avg, - send_timestamp=send_timestamp, + replica_metric_report ) def record_request_metrics_for_handle( self, - *, - deployment_id: str, - handle_id: str, - actor_id: Optional[str], - handle_source: DeploymentHandleSource, - queued_requests: float, - running_requests: Dict[ReplicaID, float], - send_timestamp: float, + handle_metric_report: HandleMetricReport, ) -> None: """Update request metric for a specific handle.""" + deployment_id = handle_metric_report.deployment_id if deployment_id in self._autoscaling_states: self._autoscaling_states[deployment_id].record_request_metrics_for_handle( - handle_id=handle_id, - actor_id=actor_id, - handle_source=handle_source, - queued_requests=queued_requests, - running_requests=running_requests, - send_timestamp=send_timestamp, + handle_metric_report ) def drop_stale_handle_metrics(self, alive_serve_actor_ids: Set[str]) -> None: diff --git a/python/ray/serve/_private/common.py b/python/ray/serve/_private/common.py index 682b186a6d7f..5493560ac988 100644 --- a/python/ray/serve/_private/common.py +++ b/python/ray/serve/_private/common.py @@ -754,3 +754,85 @@ class CreatePlacementGroupRequest: "Converting by-value DeploymentResponses to ObjectRefs is not supported. " "Use handle.options(_by_reference=True) to enable it." ) + +RUNNING_REQUESTS_KEY = "running_requests" + + +@dataclass(order=True) +class TimeStampedValue: + timestamp: float + value: float = field(compare=False) + + +@dataclass +class HandleMetricReport: + """Report from a deployment handle on queued and ongoing requests. + + Args: + deployment_id: The deployment ID of the deployment handle. + handle_id: The handle ID of the deployment handle. + actor_id: If the deployment handle (from which this metric was + sent) lives on an actor, the ID of that actor. + handle_source: Describes what kind of entity holds this + deployment handle: a Serve proxy, a Serve replica, or + unknown. + queued_requests: The current number of queued requests at the + handle, i.e. requests that haven't been assigned to any + replica yet. + aggregated_metrics: A map of metric name to the aggregated value over the past + look_back_period_s seconds at the handle for each replica. + metrics: A map of metric name to the list of values running at that handle for each replica + over the past look_back_period_s seconds. This is a list because + we take multiple measurements over time. + timestamp: The time at which this report was created. + """ + + deployment_id: DeploymentID + handle_id: str + actor_id: str + handle_source: DeploymentHandleSource + queued_requests: float + aggregated_metrics: Dict[str, Dict[ReplicaID, float]] + metrics: Dict[str, Dict[ReplicaID, List[float]]] + timestamp: float + + @property + def total_requests(self) -> float: + """Total number of queued and running requests.""" + return self.queued_requests + sum( + self.aggregated_metrics.get(RUNNING_REQUESTS_KEY, {}).values() + ) + + @property + def is_serve_component_source(self) -> bool: + """Whether the handle source is a Serve actor. + + More specifically, this returns whether a Serve actor tracked + by the controller holds the deployment handle that sent this + report. If the deployment handle lives on a driver, a Ray task, + or an actor that's not a Serve replica, then this returns False. + """ + return self.handle_source in [ + DeploymentHandleSource.PROXY, + DeploymentHandleSource.REPLICA, + ] + + +@dataclass +class ReplicaMetricReport: + """Report from a replica on ongoing requests. + + Args: + replica_id: The replica ID of the replica. + aggregated_metrics: A map of metric name to the aggregated value over the past + look_back_period_s seconds at the replica. + metrics: A map of metric name to the list of values running at that replica + over the past look_back_period_s seconds. This is a list because + we take multiple measurements over time. + timestamp: The time at which this report was created. + """ + + replica_id: ReplicaID + aggregated_metrics: Dict[str, float] + metrics: Dict[str, List[float]] + timestamp: float diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 774aee0c86f8..dc99f63ef838 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -496,3 +496,8 @@ RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE = 1000 RAY_SERVE_RUN_ROUTER_IN_SEPARATE_LOOP = False RAY_SERVE_LOG_TO_STDERR = False + +# The maximum allowed RPC latency in milliseconds. +# This is used to detect and warn about long RPC latencies +# between the controller and the replicas. +RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS = 2000 diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 5d53906cecf5..fa946121b37a 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -13,9 +13,11 @@ from ray.serve._private.application_state import ApplicationStateManager, StatusOverview from ray.serve._private.autoscaling_state import AutoscalingStateManager from ray.serve._private.common import ( - DeploymentHandleSource, + RUNNING_REQUESTS_KEY, DeploymentID, + HandleMetricReport, NodeId, + ReplicaMetricReport, RequestProtocol, RequestRoutingInfo, RunningReplicaInfo, @@ -25,6 +27,7 @@ from ray.serve._private.constants import ( CONTROL_LOOP_INTERVAL_S, RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH, + RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS, RECOVERING_LONG_POLL_BROADCAST_TIMEOUT_S, SERVE_CONTROLLER_NAME, SERVE_DEFAULT_APP_NAME, @@ -259,38 +262,43 @@ def check_alive(self) -> None: def get_pid(self) -> int: return os.getpid() - def record_autoscaling_metrics( - self, replica_id: str, window_avg: Optional[float], send_timestamp: float + def record_autoscaling_metrics_from_replica( + self, replica_metric_report: ReplicaMetricReport ): logger.debug( - f"Received metrics from replica {replica_id}: {window_avg} running requests" + f"Received metrics from replica {replica_metric_report.replica_id}: {replica_metric_report.aggregated_metrics.get(RUNNING_REQUESTS_KEY)} running requests" ) + latency = time.time() - replica_metric_report.timestamp + latency_ms = latency * 1000 + if latency_ms > RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS: + logger.warning( + f"Received autoscaling metrics from replica {replica_metric_report.replica_id} with timestamp {replica_metric_report.timestamp} " + f"which is {latency_ms}ms ago. " + f"This is greater than the warning threshold RPC latency of {RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS}ms. " + "This may indicate a performance issue with the controller try increasing the RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS environment variable." + ) self.autoscaling_state_manager.record_request_metrics_for_replica( - replica_id, window_avg, send_timestamp + replica_metric_report ) - def record_handle_metrics( - self, - deployment_id: str, - handle_id: str, - actor_id: Optional[str], - handle_source: DeploymentHandleSource, - queued_requests: float, - running_requests: Dict[str, float], - send_timestamp: float, + def record_autoscaling_metrics_from_handle( + self, handle_metric_report: HandleMetricReport ): logger.debug( - f"Received metrics from handle {handle_id} for deployment {deployment_id}: " - f"{queued_requests} queued requests and {running_requests} running requests" + f"Received metrics from handle {handle_metric_report.handle_id} for deployment {handle_metric_report.deployment_id}: " + f"{handle_metric_report.queued_requests} queued requests and {handle_metric_report.aggregated_metrics[RUNNING_REQUESTS_KEY]} running requests" ) + latency = time.time() - handle_metric_report.timestamp + latency_ms = latency * 1000 + if latency_ms > RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS: + logger.warning( + f"Received autoscaling metrics from handle {handle_metric_report.handle_id} for deployment {handle_metric_report.deployment_id} with timestamp {handle_metric_report.timestamp} " + f"which is {latency_ms}ms ago. " + f"This is greater than the warning threshold RPC latency of {RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS}ms. " + "This may indicate a performance issue with the controller try increasing the RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS environment variable." + ) self.autoscaling_state_manager.record_request_metrics_for_handle( - deployment_id=deployment_id, - handle_id=handle_id, - actor_id=actor_id, - handle_source=handle_source, - queued_requests=queued_requests, - running_requests=running_requests, - send_timestamp=send_timestamp, + handle_metric_report ) def _dump_autoscaling_metrics_for_testing(self): diff --git a/python/ray/serve/_private/metrics_utils.py b/python/ray/serve/_private/metrics_utils.py index 509ed48ed65c..10d493979c61 100644 --- a/python/ray/serve/_private/metrics_utils.py +++ b/python/ray/serve/_private/metrics_utils.py @@ -3,7 +3,7 @@ import logging import statistics from collections import defaultdict -from dataclasses import dataclass, field +from dataclasses import dataclass from itertools import chain from typing import ( Callable, @@ -16,6 +16,7 @@ Tuple, ) +from ray.serve._private.common import TimeStampedValue from ray.serve._private.constants import ( METRICS_PUSHER_GRACEFUL_SHUTDOWN_TIMEOUT_S, SERVE_LOGGER_NAME, @@ -123,12 +124,6 @@ async def graceful_shutdown(self): self._async_tasks.clear() -@dataclass(order=True) -class TimeStampedValue: - timestamp: float - value: float = field(compare=False) - - class InMemoryMetricsStore: """A very simple, in memory time series database""" diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 1ca38d1a37f2..4a94a326006a 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -39,8 +39,10 @@ from ray.remote_function import RemoteFunction from ray.serve import metrics from ray.serve._private.common import ( + RUNNING_REQUESTS_KEY, DeploymentID, ReplicaID, + ReplicaMetricReport, ReplicaQueueLengthInfo, RequestMetadata, ServeComponentType, @@ -329,10 +331,21 @@ def record_request_metrics(self, *, route: str, latency_ms: float, was_error: bo def _push_autoscaling_metrics(self) -> Dict[str, Any]: look_back_period = self._autoscaling_config.look_back_period_s self._metrics_store.prune_keys_and_compact_data(time.time() - look_back_period) - self._controller_handle.record_autoscaling_metrics.remote( + replica_metric_report = ReplicaMetricReport( replica_id=self._replica_id, - window_avg=self._metrics_store.aggregate_avg([self._replica_id])[0], - send_timestamp=time.time(), + timestamp=time.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: self._metrics_store.aggregate_avg( + [self._replica_id] + )[0] + or 0.0 + }, + metrics={ + RUNNING_REQUESTS_KEY: self._metrics_store.data.get(self._replica_id, []) + }, + ) + self._controller_handle.record_autoscaling_metrics_from_replica.remote( + replica_metric_report ) def _add_autoscaling_metrics_point(self) -> None: diff --git a/python/ray/serve/_private/router.py b/python/ray/serve/_private/router.py index 7acc79f17fac..02af2ce0a53c 100644 --- a/python/ray/serve/_private/router.py +++ b/python/ray/serve/_private/router.py @@ -25,9 +25,11 @@ from ray.actor import ActorHandle from ray.exceptions import ActorDiedError, ActorUnavailableError, RayError from ray.serve._private.common import ( + RUNNING_REQUESTS_KEY, DeploymentHandleSource, DeploymentID, DeploymentTargetInfo, + HandleMetricReport, ReplicaID, RequestMetadata, RunningReplicaInfo, @@ -46,6 +48,7 @@ QUEUED_REQUESTS_KEY, InMemoryMetricsStore, MetricsPusher, + TimeStampedValue, ) from ray.serve._private.replica_result import ReplicaResult from ray.serve._private.request_router import PendingRequest, RequestRouter @@ -360,14 +363,8 @@ def push_autoscaling_metrics_to_controller(self): These metrics are used by the controller for autoscaling. """ - - self._controller_handle.record_handle_metrics.remote( - send_timestamp=time.time(), - deployment_id=self._deployment_id, - handle_id=self._handle_id, - actor_id=self._self_actor_id, - handle_source=self._handle_source, - **self._get_aggregated_requests(), + self._controller_handle.record_autoscaling_metrics_from_handle.remote( + self._get_metrics_report() ) def _add_autoscaling_metrics_point(self): @@ -389,25 +386,40 @@ def _add_autoscaling_metrics_point(self): start_timestamp = time.time() - self.autoscaling_config.look_back_period_s self.metrics_store.prune_keys_and_compact_data(start_timestamp) - def _get_aggregated_requests(self): + def _get_metrics_report(self) -> HandleMetricReport: running_requests = dict() + avg_running_requests = dict() + timestamp = time.time() if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE and self.autoscaling_config: look_back_period = self.autoscaling_config.look_back_period_s self.metrics_store.prune_keys_and_compact_data( time.time() - look_back_period ) - running_requests = { - replica_id: self.metrics_store.aggregate_avg([replica_id])[0] - # If data hasn't been recorded yet, return current - # number of queued and ongoing requests. - or num_requests - for replica_id, num_requests in self.num_requests_sent_to_replicas.items() # noqa: E501 - } + for replica_id, num_requests in self.num_requests_sent_to_replicas.items(): + # Calculate avg running requests + avg_running_requests[replica_id] = ( + self.metrics_store.aggregate_avg([replica_id])[0] + # If data hasn't been recorded yet, return current + # number of queued and ongoing requests. + or num_requests + ) + # Get running requests data + running_requests[replica_id] = self.metrics_store.data.get( + replica_id, [TimeStampedValue(timestamp, num_requests)] + ) - return { - "queued_requests": self.num_queued_requests, - "running_requests": running_requests, - } + handle_metric_report = HandleMetricReport( + deployment_id=self._deployment_id, + handle_id=self._handle_id, + actor_id=self._self_actor_id, + handle_source=self._handle_source, + queued_requests=self.num_queued_requests, + aggregated_metrics={RUNNING_REQUESTS_KEY: avg_running_requests}, + metrics={RUNNING_REQUESTS_KEY: running_requests}, + timestamp=timestamp, + ) + + return handle_metric_report async def shutdown(self): """Shutdown metrics manager gracefully.""" diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 98120b3e1626..707cc5179b14 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -378,7 +378,7 @@ async def call(self): # Wait for deployment A to scale up wait_for_condition(check_num_requests_eq, client=client, id=dep_id, expected=20) - wait_for_condition(check_num_replicas_eq, name="A", target=5) + wait_for_condition(check_num_replicas_eq, name="A", target=5, timeout=20) print("Confirmed deployment scaled to 5 replicas.") # Kill CallerActor diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index ad093c08ab3d..ea910ee826d7 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -8,13 +8,17 @@ from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC from ray.serve._private.autoscaling_state import AutoscalingStateManager from ray.serve._private.common import ( + RUNNING_REQUESTS_KEY, DeploymentHandleSource, DeploymentID, DeploymentStatus, DeploymentStatusTrigger, + HandleMetricReport, ReplicaID, + ReplicaMetricReport, ReplicaState, TargetCapacityDirection, + TimeStampedValue, ) from ray.serve._private.config import DeploymentConfig, ReplicaConfig from ray.serve._private.constants import ( @@ -2814,24 +2818,42 @@ def test_basic_autoscaling( req_per_replica = 2 if target_capacity_direction == "up" else 0 replicas = ds._replicas.get() if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=0, - running_requests={ - replica._actor.replica_id: req_per_replica for replica in replicas + aggregated_metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: req_per_replica + for replica in replicas + } }, - send_timestamp=timer.time(), + metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: [ + TimeStampedValue(timer.time(), req_per_replica) + ] + for replica in replicas + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) else: for replica in replicas: - asm.record_request_metrics_for_replica( + replica_metric_report = ReplicaMetricReport( replica_id=replica._actor.replica_id, - window_avg=req_per_replica, - send_timestamp=timer.time(), + aggregated_metrics={RUNNING_REQUESTS_KEY: req_per_replica}, + metrics={ + RUNNING_REQUESTS_KEY: [ + TimeStampedValue(timer.time(), req_per_replica) + ] + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_replica(replica_metric_report) # status=UPSCALING/DOWNSCALING, status_trigger=AUTOSCALE dsm.update() @@ -2972,20 +2994,35 @@ def test_downscaling_reclaiming_starting_replicas_first( running_replicas = ds._replicas.get(states=[ReplicaState.RUNNING]) replicas = ds._replicas.get() if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=0, - running_requests={replica._actor.replica_id: 2 for replica in replicas}, - send_timestamp=timer.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: 2 for replica in replicas + } + }, + metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: [TimeStampedValue(timer.time(), 2)] + for replica in replicas + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) else: for replica in replicas: - asm.record_request_metrics_for_replica( - replica._actor.replica_id, 2, timer.time() + replica_metric_report = ReplicaMetricReport( + replica_id=replica._actor.replica_id, + aggregated_metrics={RUNNING_REQUESTS_KEY: 2}, + metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 2)]}, + timestamp=timer.time(), ) + asm.record_request_metrics_for_replica(replica_metric_report) # status=UPSCALING, status_trigger=AUTOSCALE dsm.update() @@ -3049,20 +3086,35 @@ def test_downscaling_reclaiming_starting_replicas_first( # Now, trigger downscaling attempting to reclaim half (3) of the replicas replicas = ds._replicas.get(states=[ReplicaState.RUNNING]) if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=0, - running_requests={replica._actor.replica_id: 1 for replica in replicas}, - send_timestamp=timer.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: 1 for replica in replicas + } + }, + metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: [TimeStampedValue(timer.time(), 1)] + for replica in replicas + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) else: for replica in replicas: - asm.record_request_metrics_for_replica( - replica._actor.replica_id, 1, timer.time() + replica_metric_report = ReplicaMetricReport( + replica_id=replica._actor.replica_id, + aggregated_metrics={RUNNING_REQUESTS_KEY: 1}, + metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 1)]}, + timestamp=timer.time(), ) + asm.record_request_metrics_for_replica(replica_metric_report) # status=DOWNSCALING, status_trigger=AUTOSCALE dsm.update() @@ -3139,20 +3191,35 @@ def test_update_autoscaling_config(self, mock_deployment_state_manager): # Num ongoing requests = 1, status should remain HEALTHY replicas = ds._replicas.get() if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=0, - running_requests={replica._actor.replica_id: 1 for replica in replicas}, - send_timestamp=timer.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: 1 for replica in replicas + } + }, + metrics={ + RUNNING_REQUESTS_KEY: { + replica._actor.replica_id: [TimeStampedValue(timer.time(), 1)] + for replica in replicas + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) else: for replica in replicas: - asm.record_request_metrics_for_replica( - replica._actor.replica_id, 1, timer.time() + replica_metric_report = ReplicaMetricReport( + replica_id=replica._actor.replica_id, + aggregated_metrics={RUNNING_REQUESTS_KEY: 1}, + metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 1)]}, + timestamp=timer.time(), ) + asm.record_request_metrics_for_replica(replica_metric_report) check_counts(ds, total=3, by_state=[(ReplicaState.RUNNING, 3, None)]) assert ds.curr_status_info.status == DeploymentStatus.HEALTHY @@ -3237,15 +3304,17 @@ def test_replicas_fail_during_initial_scale_from_zero( ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] # Send request metrics to controller to make the deployment upscale - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=1, - running_requests={}, - send_timestamp=timer.time(), + aggregated_metrics={}, + metrics={}, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) # The controller should try to start a new replica. If that replica repeatedly # fails to start, the deployment should transition to UNHEALTHY and NOT retry @@ -3351,15 +3420,17 @@ def test_replicas_fail_during_subsequent_scale_from_zero( check_counts(ds, total=0) # Send request metrics to controller to make the deployment upscale - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=1, - running_requests={}, - send_timestamp=timer.time(), + aggregated_metrics={}, + metrics={}, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) # The controller should try to start a new replica. If that replica repeatedly # fails to start, the deployment should transition to UNHEALTHY. Meanwhile @@ -3425,15 +3496,25 @@ def test_handle_metrics_timeout(self, mock_deployment_state_manager): check_counts(ds, total=1, by_state=[(ReplicaState.RUNNING, 1, None)]) # Record 2 requests/replica -> trigger upscale - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=TEST_DEPLOYMENT_ID, handle_id="random", - actor_id=None, + actor_id="actor_id", handle_source=DeploymentHandleSource.UNKNOWN, queued_requests=0, - running_requests={ds._replicas.get()[0]._actor.replica_id: 2}, - send_timestamp=timer.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: {ds._replicas.get()[0]._actor.replica_id: 2} + }, + metrics={ + RUNNING_REQUESTS_KEY: { + ds._replicas.get()[0]._actor.replica_id: [ + TimeStampedValue(timer.time(), 2) + ] + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) asm.drop_stale_handle_metrics(dsm.get_alive_replica_actor_ids()) dsm.update() check_counts( @@ -3511,15 +3592,25 @@ def test_handle_metrics_on_dead_serve_actor(self, mock_deployment_state_manager) check_counts(ds2, total=1, by_state=[(ReplicaState.RUNNING, 1, None)]) # Record 2 requests/replica (sent from d2 replica) -> trigger upscale - asm.record_request_metrics_for_handle( + handle_metric_report = HandleMetricReport( deployment_id=d_id1, handle_id="random", actor_id="d2_replica_actor_id", handle_source=DeploymentHandleSource.REPLICA, queued_requests=0, - running_requests={ds1._replicas.get()[0]._actor.replica_id: 2}, - send_timestamp=timer.time(), + aggregated_metrics={ + RUNNING_REQUESTS_KEY: {ds1._replicas.get()[0]._actor.replica_id: 2} + }, + metrics={ + RUNNING_REQUESTS_KEY: { + ds1._replicas.get()[0]._actor.replica_id: [ + TimeStampedValue(timer.time(), 2) + ] + } + }, + timestamp=timer.time(), ) + asm.record_request_metrics_for_handle(handle_metric_report) asm.drop_stale_handle_metrics(dsm.get_alive_replica_actor_ids()) dsm.update() check_counts( diff --git a/python/ray/serve/tests/unit/test_router.py b/python/ray/serve/tests/unit/test_router.py index 5b849c965f78..e08ffe3a5e65 100644 --- a/python/ray/serve/tests/unit/test_router.py +++ b/python/ray/serve/tests/unit/test_router.py @@ -1006,14 +1006,9 @@ async def test_push_autoscaling_metrics_to_controller(self): # Check metrics are pushed correctly metrics_manager.push_autoscaling_metrics_to_controller() - mock_controller_handle.record_handle_metrics.remote.assert_called_with( - deployment_id=deployment_id, - handle_id=handle_id, - actor_id=self_actor_id, - handle_source=DeploymentHandleSource.PROXY, - queued_requests=n, - running_requests=running_requests, - send_timestamp=start, + handle_metric_report = metrics_manager._get_metrics_report() + mock_controller_handle.record_autoscaling_metrics_from_handle.remote.assert_called_with( + handle_metric_report ) @pytest.mark.skipif( From 27c6f7916c3025b21513ee670a798a38f87f1580 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Wed, 10 Sep 2025 10:11:48 -0700 Subject: [PATCH 1144/1566] [Serve] Allow access to request context of each request in the batch (#56344) This is resolved by keeping a temporary list of request context of each request for the batch as part of the `ContextVar`. This temporary list will exist while the batching method is executed and will be reset after the method completes executing. Users will be able to access to the list of request contexts, which corresponds to the batch, through `_get_serve_batch_request_context`. **Output example of `get_serve_batch_request_context` when there was 10 requests in a single batch:** `[_RequestContext(route='/', request_id='b99a517d-f813-4833-8365-73626c78a144', _internal_request_id='c224b33d-93ae-44b1-a16a-bffe87adc098', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='e7dd2b1d-18b2-4001-b0c8-3d50ebd78a4f', _internal_request_id='ff15eb47-e428-49f8-a5a4-3187b32aad3e', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='63de5f3a-7814-4714-8544-bc4ef5e53740', _internal_request_id='005ff49e-0ec2-482c-b9fd-629dcb5db3e8', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='46d9ebb3-7368-4b06-ae5b-aba57dc9a797', _internal_request_id='6624244b-efc7-43a0-be98-633cb4ce6161', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='bb3adaac-2580-446e-b1b7-9d057400dec7', _internal_request_id='3d25a586-63bf-46e2-861e-2947af9c9100', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='d805322c-12bc-4c84-aaee-bbf9c8e77482', _internal_request_id='77dbf78d-5716-4a38-9145-d6855404ecf0', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='551dab8a-637f-4804-8f51-ed5c946be5bf', _internal_request_id='e8d362d7-186d-4c76-b79b-819bbd9891ae', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='60a866f7-e2aa-40ec-bb9e-deb583c9bed5', _internal_request_id='89e5e32f-fc09-4c26-9c3d-a22b5b4da683', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='61a482c6-c383-4bc1-abca-ba5f8f0156c7', _internal_request_id='1853d2c8-3676-4ad8-822d-75ec58578d8c', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False), _RequestContext(route='/', request_id='988d5aa0-54d1-4311-be17-2ab48fb017f3', _internal_request_id='fd84a3e0-7aa1-4491-98be-65cf55de42e5', app_name='default', multiplexed_model_id='', grpc_context=None, is_http_request=False, cancel_on_parent_request_cancel=False)]` --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- python/ray/serve/batching.py | 16 ++++- python/ray/serve/context.py | 23 +++++- python/ray/serve/tests/test_batching.py | 94 ++++++++++++++++++++++++- 3 files changed, 130 insertions(+), 3 deletions(-) diff --git a/python/ray/serve/batching.py b/python/ray/serve/batching.py index 41c1b64e516a..ab16fe47e962 100644 --- a/python/ray/serve/batching.py +++ b/python/ray/serve/batching.py @@ -45,6 +45,7 @@ class _SingleRequest: self_arg: Any flattened_args: List[Any] future: asyncio.Future + request_context: serve.context._RequestContext @dataclass @@ -306,6 +307,9 @@ async def _assign_func_results( async def _process_batches(self, func: Callable) -> None: """Loops infinitely and processes queued request batches.""" + # When asyncio task is created, the task will inherit the request context from the current context. + # So we unset the request context so the current context is not inherited by the task, _process_batch. + serve.context._unset_request_context() while not self._loop.is_closed(): batch = await self.wait_for_batch() promise = self._process_batch(func, batch) @@ -343,6 +347,11 @@ async def _process_batch(self, func: Callable, batch: List[_SingleRequest]) -> N else: func_future_or_generator = func(*args, **kwargs) + # Add individual request context to the batch request context + serve.context._set_batch_request_context( + [req.request_context for req in batch] + ) + if isasyncgenfunction(func): func_generator = func_future_or_generator await self._consume_func_generator( @@ -352,6 +361,8 @@ async def _process_batch(self, func: Callable, batch: List[_SingleRequest]) -> N func_future = func_future_or_generator await self._assign_func_results(func_future, futures, len(batch)) + # Reset the batch request context after the batch is processed + serve.context._set_batch_request_context([]) except Exception as e: logger.exception("_process_batch ran into an unexpected exception.") @@ -690,7 +701,10 @@ def enqueue_request(args, kwargs) -> asyncio.Future: batch_queue = lazy_batch_queue_wrapper.queue future = get_or_create_event_loop().create_future() - batch_queue.put(_SingleRequest(self, flattened_args, future)) + request_context = serve.context._get_serve_request_context() + batch_queue.put( + _SingleRequest(self, flattened_args, future, request_context) + ) return future @wraps(_func) diff --git a/python/ray/serve/context.py b/python/ray/serve/context.py index 99b8e5f0d9e8..b6ad7bb2a685 100644 --- a/python/ray/serve/context.py +++ b/python/ray/serve/context.py @@ -8,7 +8,7 @@ import logging from collections import defaultdict from dataclasses import dataclass -from typing import Callable, Dict, Optional +from typing import Callable, Dict, List, Optional import ray from ray.exceptions import RayActorError @@ -195,6 +195,10 @@ class _RequestContext: "Serve internal request context variable", default=None ) +_serve_batch_request_context = contextvars.ContextVar( + "Serve internal batching request context variable", default=None +) + def _get_serve_request_context(): """Get the current request context. @@ -208,6 +212,13 @@ def _get_serve_request_context(): return _serve_request_context.get() +def _get_serve_batch_request_context(): + """Get the list of request contexts for the current batch.""" + if _serve_batch_request_context.get() is None: + _serve_batch_request_context.set([]) + return _serve_batch_request_context.get() + + def _set_request_context( route: str = "", request_id: str = "", @@ -233,6 +244,16 @@ def _set_request_context( ) +def _unset_request_context(): + """Unset the request context.""" + _serve_request_context.set(_RequestContext()) + + +def _set_batch_request_context(request_contexts: List[_RequestContext]): + """Add the request context to the batch request context.""" + _serve_batch_request_context.set(request_contexts) + + # `_requests_pending_assignment` is a map from request ID to a # dictionary of asyncio tasks. # The request ID points to an ongoing request that is executing on the diff --git a/python/ray/serve/tests/test_batching.py b/python/ray/serve/tests/test_batching.py index 80f9f35eb10c..ac149e79ad13 100644 --- a/python/ray/serve/tests/test_batching.py +++ b/python/ray/serve/tests/test_batching.py @@ -3,6 +3,7 @@ from collections.abc import Callable from concurrent.futures.thread import ThreadPoolExecutor from functools import partial +from threading import Thread from typing import List, Optional import httpx @@ -13,6 +14,10 @@ from ray._common.test_utils import SignalActor, async_wait_for_condition from ray.serve._private.test_utils import get_application_url from ray.serve.batching import _RuntimeSummaryStatistics +from ray.serve.context import ( + _get_serve_batch_request_context, + _get_serve_request_context, +) def test_batching(serve_instance): @@ -214,7 +219,7 @@ async def __call__(self, request): @pytest.mark.parametrize("max_batch_size", [1, 10]) @pytest.mark.parametrize("n_requests", [1, 10]) async def test_observability_helpers( - n_requests: int, max_batch_size: int, max_concurrent_batches: int + serve_instance, n_requests: int, max_batch_size: int, max_concurrent_batches: int ) -> None: """Checks observability helper methods that are used for batching. @@ -310,6 +315,93 @@ async def poll() -> bool: return await async_wait_for_condition(poll) +def test_batching_request_context(serve_instance): + """Test that _get_serve_batch_request_context() works correctly with batching. + + With 6 requests and max_batch_size=3, Serve should create 2 batches processed in parallel. + Each batch should have access to the request contexts of all requests in that batch, + and context should be properly unset after processing. + """ + + @serve.deployment(max_ongoing_requests=10) + class BatchContextTester: + def __init__(self): + self.batch_results = [] + + @serve.batch( + max_batch_size=3, batch_wait_timeout_s=1.0, max_concurrent_batches=2 + ) + async def handle_batch(self, batch): + # Store results for verification + batch_result = { + "batch_size": len(batch), + "batch_request_contexts": _get_serve_batch_request_context(), + "current_request_context": _get_serve_request_context(), + } + self.batch_results.append(batch_result) + + return ["ok" for _ in range(len(batch))] + + async def __call__(self, request): + return await self.handle_batch(1) + + async def get_results(self): + return self.batch_results + + handle = serve.run(BatchContextTester.bind()) + + def do_request(): + """Make a request with a specific request ID.""" + url = get_application_url() + r = httpx.post(f"{url}/") + r.raise_for_status() + + # Launch 6 requests. Expect 2 batches of 3 requests each. + threads = [Thread(target=do_request) for _ in range(6)] + + for t in threads: + t.start() + for t in threads: + t.join() + + # Get results from the deployment + batch_results = handle.get_results.remote().result() + + # Verify each batch has correct size and context + total_requests_processed = 0 + request_ids_in_batch_context = set() + + for result in batch_results: + # Batch context should contain all 3 request contexts + assert ( + len(result["batch_request_contexts"]) == 3 + ), f"Expected 3 contexts in batch, got {result['batch_request_contexts']}" + req_ids_in_batch_context = [ + ctx.request_id for ctx in result["batch_request_contexts"] + ] + assert ( + len(req_ids_in_batch_context) == 3 + ), f"Expected 3 batch request IDs, got {len(req_ids_in_batch_context)}" + request_ids_in_batch_context.update(req_ids_in_batch_context) + + # Current request context read within the batcher should be a default empty context. + current_request_context = result["current_request_context"] + assert current_request_context.request_id == "" + assert current_request_context.route == "" + assert current_request_context.app_name == "" + assert current_request_context.multiplexed_model_id == "" + + total_requests_processed += result["batch_size"] + + # Verify all 6 requests were processed + assert ( + total_requests_processed == 6 + ), f"Expected 6 total requests processed, got {total_requests_processed}" + assert ( + len(request_ids_in_batch_context) == 6 + ), f"Expected 6 unique request IDs, got {len(request_ids_in_batch_context)}" + + if __name__ == "__main__": import sys From fe47536baebb13d01291701a77d46ddff411a887 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 10 Sep 2025 10:47:25 -0700 Subject: [PATCH 1145/1566] [data] fix metrics query for iteration + scheduling loop (#56390) ## Why are these changes needed? Im dumb, ctrl+h to find and replace and replaced a bit too much :'( doubled-checked these are the only places ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../modules/metrics/dashboards/data_dashboard_panels.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 10cb946ae41b..bc185d3854cf 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -680,7 +680,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_initialize_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', + expr="sum(ray_data_iter_initialize_seconds{{{global_filters}}}) by (dataset)", legend="Seconds: {{dataset}}, {{operator}}", ) ], @@ -695,7 +695,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_total_blocked_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', + expr="sum(ray_data_iter_total_blocked_seconds{{{global_filters}}}) by (dataset)", legend="Seconds: {{dataset}}", ) ], @@ -710,7 +710,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_iter_user_seconds{{{global_filters}, operator=~"$Operator"}}) by (dataset)', + expr="sum(ray_data_iter_user_seconds{{{global_filters}}}) by (dataset)", legend="Seconds: {{dataset}}", ) ], @@ -726,7 +726,7 @@ unit="seconds", targets=[ Target( - expr='sum(ray_data_sched_loop_duration_s{{{global_filters}, operator=~"$Operator"}}) by (dataset)', + expr="sum(ray_data_sched_loop_duration_s{{{global_filters}}}) by (dataset)", legend="Scheduling Loop Duration: {{dataset}}", ) ], From 5024f41f1c9242b515623d470cc825a2bec95c87 Mon Sep 17 00:00:00 2001 From: coqian Date: Wed, 10 Sep 2025 10:47:41 -0700 Subject: [PATCH 1146/1566] [Data] Emit events rather than just logs for detected issues (#55717) ## Why are these changes needed? In Ray Data, we have an issue detection feature, but they are only available as printed logs. We also want to show these insights at our Data Dashboard for users to debug their code, by exporting these events. Example export event: ``` { "event_id": "Ce4Ee1B7AFd9Cb13B3", "timestamp": 1756423457, "source_type": "EXPORT_DATASET_OPERATOR_EVENT", "event_data": { "dataset_id": "dataset_6_0", "operator_id": "ReadImage->Map(preprocess_image)_1", "operator_name": "ReadImage->Map(preprocess_image)", "event_time": 1756423457.9333386, "event_type": "ISSUE_DETECTION_HIGH_MEMORY", "message": "\n\nOperator 'ReadImage->Map(preprocess_image)' uses xxx of memory per\ntask on average, but Ray only requests xxx per task at the start of\nthe pipeline.\n\nTo avoid out-of-memory errors, consider setting `memory=xxx` in the\nappropriate function or method call. (This might be unnecessary if the\nnumber of concurrent tasks is low.)\n\nTo change the frequency of this warning, set\n`DataContext.get_current().issue_detectors_config.high_memory_detector_config.detection_time_interval_s`,\nor disable the warning by setting value to -1. (current value: xxx)\n" } }, { "event_id": "bE831Ee49c4AadAcFB", "timestamp": 1756423458, "source_type": "EXPORT_DATASET_OPERATOR_EVENT", "event_data": { "dataset_id": "dataset_6_0", "operator_id": "MapBatches(ResnetModel)_2", "operator_name": "MapBatches(ResnetModel)", "event_time": 1756423458.1420121, "event_type": "ISSUE_DETECTION_HANGING", "message": "A task of operator MapBatches(ResnetModel) with task index xxx has been running for xxxs, which is longer than the average task duration of this operator (xxxs). If this message persists, please check the stack trace of the task for potential hanging issues." } } ``` ## Related issue number ## Checks - [X] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [X] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: cong.qian Signed-off-by: Douglas Strodtman --- .../ray/_private/event/export_event_logger.py | 12 ++ .../issue_detection/issue_detector_manager.py | 31 +++- .../data/_internal/operator_event_exporter.py | 164 ++++++++++++++++++ .../tests/test_issue_detection_manager.py | 45 ++++- src/ray/protobuf/BUILD.bazel | 11 ++ .../export_dataset_operator_event.proto | 46 +++++ src/ray/protobuf/export_event.proto | 3 + 7 files changed, 310 insertions(+), 2 deletions(-) create mode 100644 python/ray/data/_internal/operator_event_exporter.py create mode 100644 src/ray/protobuf/export_dataset_operator_event.proto diff --git a/python/ray/_private/event/export_event_logger.py b/python/ray/_private/event/export_event_logger.py index 4d47c68fb833..4e77ca1421ce 100644 --- a/python/ray/_private/event/export_event_logger.py +++ b/python/ray/_private/event/export_event_logger.py @@ -13,6 +13,9 @@ from ray.core.generated.export_dataset_metadata_pb2 import ( ExportDatasetMetadata, ) +from ray.core.generated.export_dataset_operator_event_pb2 import ( + ExportDatasetOperatorEventData, +) from ray.core.generated.export_event_pb2 import ExportEvent from ray.core.generated.export_submission_job_event_pb2 import ( ExportSubmissionJobEventData, @@ -31,6 +34,7 @@ ExportTrainRunEventData, ExportTrainRunAttemptEventData, ExportDatasetMetadata, + ExportDatasetOperatorEventData, ] @@ -43,6 +47,7 @@ class EventLogType(Enum): TRAIN_STATE: Export events related to training state, supporting train run and attempt events. SUBMISSION_JOB: Export events related to job submissions. DATASET_METADATA: Export events related to dataset metadata. + DATASET_OPERATOR_EVENT: Export events related to Ray Data operator. """ TRAIN_STATE = ( @@ -51,6 +56,10 @@ class EventLogType(Enum): ) SUBMISSION_JOB = ("EXPORT_SUBMISSION_JOB", {ExportSubmissionJobEventData}) DATASET_METADATA = ("EXPORT_DATASET_METADATA", {ExportDatasetMetadata}) + DATASET_OPERATOR_EVENT = ( + "EXPORT_DATASET_OPERATOR_EVENT", + {ExportDatasetOperatorEventData}, + ) def __init__(self, log_type_name: str, event_types: set[ExportEventDataType]): """Initialize an EventLogType enum value. @@ -119,6 +128,9 @@ def _create_export_event(self, event_data: ExportEventDataType) -> ExportEvent: elif isinstance(event_data, ExportDatasetMetadata): event.dataset_metadata.CopyFrom(event_data) event.source_type = ExportEvent.SourceType.EXPORT_DATASET_METADATA + elif isinstance(event_data, ExportDatasetOperatorEventData): + event.dataset_operator_event_data.CopyFrom(event_data) + event.source_type = ExportEvent.SourceType.EXPORT_DATASET_OPERATOR_EVENT else: raise TypeError(f"Invalid event_data type: {type(event_data)}") if not self.log_type.supports_event_type(event_data): diff --git a/python/ray/data/_internal/issue_detection/issue_detector_manager.py b/python/ray/data/_internal/issue_detection/issue_detector_manager.py index 91569e16deac..33ebbc69dafe 100644 --- a/python/ray/data/_internal/issue_detection/issue_detector_manager.py +++ b/python/ray/data/_internal/issue_detection/issue_detector_manager.py @@ -2,11 +2,19 @@ import time from typing import TYPE_CHECKING, Dict, List +from ray.core.generated.export_dataset_operator_event_pb2 import ( + ExportDatasetOperatorEventData as ProtoOperatorEventData, +) from ray.data._internal.issue_detection.issue_detector import ( Issue, IssueDetector, IssueType, ) +from ray.data._internal.operator_event_exporter import ( + OperatorEvent, + format_export_issue_event_name, + get_operator_event_exporter, +) if TYPE_CHECKING: from ray.data._internal.execution.interfaces.physical_operator import ( @@ -27,6 +35,7 @@ def __init__(self, executor: "StreamingExecutor"): detector: time.perf_counter() for detector in self._issue_detectors } self.executor = executor + self._operator_event_exporter = get_operator_event_exporter() def invoke_detectors(self) -> None: curr_time = time.perf_counter() @@ -47,8 +56,10 @@ def invoke_detectors(self) -> None: def _report_issues(self, issues: List[Issue]) -> None: operators: Dict[str, "PhysicalOperator"] = {} - for operator in self.executor._topology.keys(): + op_to_id: Dict["PhysicalOperator", str] = {} + for i, operator in enumerate(self.executor._topology.keys()): operators[operator.id] = operator + op_to_id[operator] = self.executor._get_operator_id(operator, i) # Reset issue detector metrics for each operator so that previous issues # don't affect the current ones. operator.metrics._issue_detector_hanging = 0 @@ -59,6 +70,24 @@ def _report_issues(self, issues: List[Issue]) -> None: operator = operators.get(issue.operator_id) if not operator: continue + + issue_event_type = format_export_issue_event_name(issue.issue_type) + if ( + self._operator_event_exporter is not None + and issue_event_type + in ProtoOperatorEventData.DatasetOperatorEventType.keys() + ): + event_time = time.time() + operator_event = OperatorEvent( + dataset_id=issue.dataset_name, + operator_id=op_to_id[operator], + operator_name=operator.name, + event_time=event_time, + event_type=issue_event_type, + message=issue.message, + ) + self._operator_event_exporter.export_operator_event(operator_event) + if issue.issue_type == IssueType.HANGING: operator.metrics._issue_detector_hanging += 1 if issue.issue_type == IssueType.HIGH_MEMORY: diff --git a/python/ray/data/_internal/operator_event_exporter.py b/python/ray/data/_internal/operator_event_exporter.py new file mode 100644 index 000000000000..5ee60f2131b9 --- /dev/null +++ b/python/ray/data/_internal/operator_event_exporter.py @@ -0,0 +1,164 @@ +"""Exporter API for Ray Data operator events.""" + +import logging +import os +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Any, Optional + +import ray +from ray._private.event.export_event_logger import ( + EventLogType, + check_export_api_enabled, + get_export_event_logger, +) + +logger = logging.getLogger(__name__) + + +@dataclass +class OperatorEvent: + """Represents an Ray Data operator event, such as issue detection + + Attributes: + dataset_id: The id of the dataset. + operator_id: The id of the operator within the DAG structure, typically + incorporating a position or index (e.g., "ReadParquet_0") + operator_name: The name of the operator. + event_time: The timestamp when the event is emitted (in seconds since epoch). + event_type: The type of the event. + message: The content of the event message. + """ + + dataset_id: str + operator_id: str + operator_name: str + event_time: float + event_type: str + message: str + + +def operator_event_to_proto(operator_event: OperatorEvent) -> Any: + """Convert the operator event to a protobuf message. + + Args: + operator_event: OperatorEvent object containing the event details + + Returns: + The protobuf message representing the operator event. + """ + + from ray.core.generated.export_dataset_operator_event_pb2 import ( + ExportDatasetOperatorEventData as ProtoOperatorEventData, + ) + + # Create the protobuf message + proto_operator_event_data = ProtoOperatorEventData( + dataset_id=operator_event.dataset_id, + operator_id=operator_event.operator_id, + operator_name=operator_event.operator_name, + event_time=operator_event.event_time, + event_type=ProtoOperatorEventData.DatasetOperatorEventType.Value( + operator_event.event_type + ), + message=operator_event.message, + ) + + return proto_operator_event_data + + +def format_export_issue_event_name(issue_name: str) -> str: + return "ISSUE_DETECTION_" + issue_name.upper().replace(" ", "_") + + +def get_operator_event_exporter() -> "OperatorEventExporter": + """Get the operator event exporter instance. + + Returns: + The operator event exporter instance. + """ + return LoggerOperatorEventExporter.create_if_enabled() + + +class OperatorEventExporter(ABC): + """Abstract base class for operator event exporters. + + Implementations of this interface can export Ray Data operator event to various + destinations like log files, databases, or monitoring systems. + """ + + @abstractmethod + def export_operator_event(self, operator_event: OperatorEvent) -> None: + """Export operator event to the destination. + + Args: + operator_event: OperatorEvent object containing operator event details. + """ + pass + + @classmethod + @abstractmethod + def create_if_enabled(cls) -> Optional["OperatorEventExporter"]: + """Create an event exporter instance if the export functionality is enabled. + + Returns: + An event exporter instance if enabled, none otherwise. + """ + pass + + +class LoggerOperatorEventExporter(OperatorEventExporter): + """Operator event exporter implementation that uses the Ray export event logger. + + This exporter writes operator event to log files using Ray's export event system. + """ + + def __init__(self, logger: logging.Logger): + """Initialize with a configured export event logger. + + Args: + logger: The export event logger to use for writing events. + """ + self._export_logger = logger + + def export_operator_event(self, operator_event: OperatorEvent) -> None: + """Export operator event using the export event logger. + + Args: + operator_event: OperatorEvent object containing operator event details. + """ + operator_event_proto = operator_event_to_proto(operator_event) + self._export_logger.send_event(operator_event_proto) + + @classmethod + def create_if_enabled(cls) -> Optional["LoggerOperatorEventExporter"]: + """Create a logger-based exporter if the export API is enabled. + + Returns: + A LoggerOperatorEventExporter instance, none otherwise. + """ + from ray.core.generated.export_event_pb2 import ExportEvent + + is_operator_event_export_api_enabled = check_export_api_enabled( + ExportEvent.SourceType.EXPORT_DATASET_OPERATOR_EVENT + ) + if not is_operator_event_export_api_enabled: + # The export API is not enabled, so we shouldn't create an exporter + return None + + log_directory = os.path.join( + ray._private.worker._global_node.get_session_dir_path(), "logs" + ) + + try: + logger = get_export_event_logger( + EventLogType.DATASET_OPERATOR_EVENT, + log_directory, + ) + return LoggerOperatorEventExporter(logger) + except Exception: + logger.exception( + "Unable to initialize the export event logger, so no operator export " + "events will be written." + ) + return None diff --git a/python/ray/data/tests/test_issue_detection_manager.py b/python/ray/data/tests/test_issue_detection_manager.py index 3dc1712aaeff..fbcd392bb2a2 100644 --- a/python/ray/data/tests/test_issue_detection_manager.py +++ b/python/ray/data/tests/test_issue_detection_manager.py @@ -1,14 +1,19 @@ +import json +import os import sys from unittest.mock import MagicMock import pytest +import ray +from ray._private import ray_constants from ray.data._internal.execution.operators.input_data_buffer import ( InputDataBuffer, ) from ray.data._internal.execution.operators.task_pool_map_operator import ( MapOperator, ) +from ray.data._internal.execution.streaming_executor import StreamingExecutor from ray.data._internal.issue_detection.issue_detector import ( Issue, IssueType, @@ -16,10 +21,30 @@ from ray.data._internal.issue_detection.issue_detector_manager import ( IssueDetectorManager, ) +from ray.data._internal.operator_event_exporter import ( + format_export_issue_event_name, +) from ray.data.context import DataContext +def _get_exported_data(): + exported_file = os.path.join( + ray._private.worker._global_node.get_session_dir_path(), + "logs", + "export_events", + "event_EXPORT_DATASET_OPERATOR_EVENT.log", + ) + assert os.path.isfile(exported_file) + + with open(exported_file, "r") as f: + data = f.readlines() + + return [json.loads(line) for line in data] + + def test_report_issues(): + ray.init() + ray_constants.RAY_ENABLE_EXPORT_API_WRITE_CONFIG = "EXPORT_DATASET_OPERATOR_EVENT" ctx = DataContext.get_current() input_operator = InputDataBuffer(ctx, input_data=[]) map_operator = MapOperator.create( @@ -29,7 +54,8 @@ def test_report_issues(): ray_remote_args={}, ) topology = {input_operator: MagicMock(), map_operator: MagicMock()} - executor = MagicMock(_topology=topology) + executor = StreamingExecutor(ctx) + executor._topology = topology detector = IssueDetectorManager(executor) detector._report_issues( @@ -53,6 +79,23 @@ def test_report_issues(): assert map_operator.metrics.issue_detector_hanging == 0 assert map_operator.metrics.issue_detector_high_memory == 1 + data = _get_exported_data() + assert len(data) == 2 + assert data[0]["event_data"]["dataset_id"] == "dataset" + assert data[0]["event_data"]["operator_id"] == f"{input_operator.name}_0" + assert data[0]["event_data"]["operator_name"] == input_operator.name + assert data[0]["event_data"]["event_type"] == format_export_issue_event_name( + IssueType.HANGING + ) + assert data[0]["event_data"]["message"] == "Hanging detected" + assert data[1]["event_data"]["dataset_id"] == "dataset" + assert data[1]["event_data"]["operator_id"] == f"{map_operator.name}_1" + assert data[1]["event_data"]["operator_name"] == map_operator.name + assert data[1]["event_data"]["event_type"] == format_export_issue_event_name( + IssueType.HIGH_MEMORY + ) + assert data[1]["event_data"]["message"] == "High memory usage detected" + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/src/ray/protobuf/BUILD.bazel b/src/ray/protobuf/BUILD.bazel index 5448fa1d071f..804988e7714b 100644 --- a/src/ray/protobuf/BUILD.bazel +++ b/src/ray/protobuf/BUILD.bazel @@ -254,6 +254,7 @@ proto_library( deps = [ ":export_actor_event_proto", ":export_dataset_metadata_proto", + ":export_dataset_operator_event_proto", ":export_driver_job_event_proto", ":export_node_event_proto", ":export_submission_job_event_proto", @@ -347,6 +348,16 @@ cc_proto_library( deps = [":export_train_state_proto"], ) +proto_library( + name = "export_dataset_operator_event_proto", + srcs = ["export_dataset_operator_event.proto"], +) + +cc_proto_library( + name = "export_dataset_operator_event_cc_proto", + deps = [":export_dataset_operator_event_proto"], +) + proto_library( name = "export_dataset_metadata_proto", srcs = ["export_dataset_metadata.proto"], diff --git a/src/ray/protobuf/export_dataset_operator_event.proto b/src/ray/protobuf/export_dataset_operator_event.proto new file mode 100644 index 000000000000..0c82133346b2 --- /dev/null +++ b/src/ray/protobuf/export_dataset_operator_event.proto @@ -0,0 +1,46 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +option cc_enable_arenas = true; +package ray.rpc; + +// This message defines the event_data stored by the export API for +// EXPORT_DATASET_OPERATOR type events from Ray Data operators. +message ExportDatasetOperatorEventData { + enum DatasetOperatorEventType { + UNSPECIFIED = 0; + ISSUE_DETECTION_HANGING = 1; + ISSUE_DETECTION_HIGH_MEMORY = 2; + } + + // The dataset ID + string dataset_id = 1; + + // The operator ID + string operator_id = 2; + + // The operator name + string operator_name = 3; + + // The timestamp when event is emitted (in seconds since epoch) + double event_time = 4; + + // The type of the event + DatasetOperatorEventType event_type = 5; + + // The content of the event message + string message = 6; +} diff --git a/src/ray/protobuf/export_event.proto b/src/ray/protobuf/export_event.proto index 5c0c56fc4dc0..fdc9281915f0 100644 --- a/src/ray/protobuf/export_event.proto +++ b/src/ray/protobuf/export_event.proto @@ -23,6 +23,7 @@ import "src/ray/protobuf/export_driver_job_event.proto"; import "src/ray/protobuf/export_submission_job_event.proto"; import "src/ray/protobuf/export_train_state.proto"; +import "src/ray/protobuf/export_dataset_operator_event.proto"; import "src/ray/protobuf/export_dataset_metadata.proto"; // ExportEvent defines events stored by the export API. This @@ -37,6 +38,7 @@ message ExportEvent { EXPORT_TRAIN_RUN = 5; EXPORT_TRAIN_RUN_ATTEMPT = 6; EXPORT_DATASET_METADATA = 7; + EXPORT_DATASET_OPERATOR_EVENT = 8; } // event_id is the unique ID of this event @@ -56,5 +58,6 @@ message ExportEvent { ExportTrainRunEventData train_run_event_data = 9; ExportTrainRunAttemptEventData train_run_attempt_event_data = 10; ExportDatasetMetadata dataset_metadata = 11; + ExportDatasetOperatorEventData dataset_operator_event_data = 12; } } From 8cf1310589a89be4ea0854b7021d6a2190a8e582 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Thu, 11 Sep 2025 01:55:56 +0800 Subject: [PATCH 1147/1566] [Data] Support initial concurrency value (#56370) ## Why are these changes needed? Support setting the initial actor pool size(concurrency) and update methods that accept tuple of concurrency. ## Related issue number ## Checks Closes #54648 - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/compute.py | 26 +++++++++++- .../operators/actor_pool_map_operator.py | 13 +++++- python/ray/data/_internal/util.py | 40 +++++++++++-------- python/ray/data/dataset.py | 24 ++++++++--- python/ray/data/grouped_data.py | 5 ++- .../tests/test_actor_pool_map_operator.py | 25 +++++++++++- python/ray/data/tests/test_map.py | 6 +-- 7 files changed, 108 insertions(+), 31 deletions(-) diff --git a/python/ray/data/_internal/compute.py b/python/ray/data/_internal/compute.py index 333662c35f9f..6188dab3f899 100644 --- a/python/ray/data/_internal/compute.py +++ b/python/ray/data/_internal/compute.py @@ -76,6 +76,7 @@ def __init__( size: Optional[int] = None, min_size: Optional[int] = None, max_size: Optional[int] = None, + initial_size: Optional[int] = None, max_tasks_in_flight_per_actor: Optional[int] = None, ): """Construct ActorPoolStrategy for a Dataset transform. @@ -85,6 +86,8 @@ def __init__( specify both `size` and `min_size` or `max_size`. min_size: The minimum size of the actor pool. max_size: The maximum size of the actor pool. + initial_size: The initial number of actors to start with. If not specified, + defaults to min_size. Must be between min_size and max_size. max_tasks_in_flight_per_actor: The maximum number of tasks to concurrently send to a single actor worker. Increasing this will increase opportunities for pipelining task dependency prefetching with @@ -94,12 +97,13 @@ def __init__( if size is not None: if size < 1: raise ValueError("size must be >= 1", size) - if max_size is not None or min_size is not None: + if max_size is not None or min_size is not None or initial_size is not None: raise ValueError( - "min_size and max_size cannot be set at the same time as `size`" + "min_size, max_size, and initial_size cannot be set at the same time as `size`" ) min_size = size max_size = size + initial_size = size if min_size is not None and min_size < 1: raise ValueError("min_size must be >= 1", min_size) if max_size is not None: @@ -115,8 +119,24 @@ def __init__( "max_tasks_in_flight_per_actor must be >= 1, got: ", max_tasks_in_flight_per_actor, ) + self.min_size = min_size or 1 self.max_size = max_size or float("inf") + + # Validate and set initial_size + if initial_size is not None: + if initial_size < 1: + raise ValueError("initial_size must be >= 1", initial_size) + if initial_size < self.min_size: + raise ValueError( + f"initial_size ({initial_size}) must be >= min_size ({self.min_size})" + ) + if self.max_size != float("inf") and initial_size > self.max_size: + raise ValueError( + f"initial_size ({initial_size}) must be <= max_size ({self.max_size})" + ) + + self.initial_size = initial_size or self.min_size self.max_tasks_in_flight_per_actor = max_tasks_in_flight_per_actor self.num_workers = 0 self.ready_to_total_workers_ratio = 0.8 @@ -125,6 +145,7 @@ def __eq__(self, other: Any) -> bool: return isinstance(other, ActorPoolStrategy) and ( self.min_size == other.min_size and self.max_size == other.max_size + and self.initial_size == other.initial_size and self.max_tasks_in_flight_per_actor == other.max_tasks_in_flight_per_actor ) @@ -133,6 +154,7 @@ def __repr__(self) -> str: return ( f"ActorPoolStrategy(min_size={self.min_size}, " f"max_size={self.max_size}, " + f"initial_size={self.initial_size}, " f"max_tasks_in_flight_per_actor={self.max_tasks_in_flight_per_actor})" f"num_workers={self.num_workers}, " f"ready_to_total_workers_ratio={self.ready_to_total_workers_ratio})" diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 3080f460bb6d..a526b982ef45 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -150,6 +150,7 @@ def __init__( per_actor_resource_usage, min_size=compute_strategy.min_size, max_size=compute_strategy.max_size, + initial_size=compute_strategy.initial_size, max_actor_concurrency=max_actor_concurrency, max_tasks_in_flight_per_actor=( # NOTE: Unless explicitly configured by the user, max tasks-in-flight config @@ -203,7 +204,7 @@ def start(self, options: ExecutionOptions): self._actor_cls = ray.remote(**self._ray_remote_args)(self._map_worker_cls) self._actor_pool.scale( ActorPoolScalingRequest( - delta=self._actor_pool.min_size(), reason="scaling to min size" + delta=self._actor_pool.initial_size(), reason="scaling to initial size" ) ) @@ -729,6 +730,7 @@ def __init__( *, min_size: int, max_size: int, + initial_size: int, max_actor_concurrency: int, max_tasks_in_flight_per_actor: int, _enable_actor_pool_on_exit_hook: bool = False, @@ -744,8 +746,9 @@ def __init__( in the pool. Note, that this constraint could be violated when no new work is available for scheduling in the actor pool (ie when operator completes execution). - max_size: The minimum number of running actors to be maintained + max_size: The maximum number of running actors to be maintained in the pool. + initial_size: The initial number of actors to start with. max_actor_concurrency: The maximum number of concurrent tasks a single actor can execute (derived from `ray_remote_args` passed to the operator). @@ -757,6 +760,7 @@ def __init__( self._min_size: int = min_size self._max_size: int = max_size + self._initial_size: int = initial_size self._max_actor_concurrency: int = max_actor_concurrency self._max_tasks_in_flight: int = max_tasks_in_flight_per_actor self._create_actor_fn = create_actor_fn @@ -764,6 +768,8 @@ def __init__( assert self._min_size >= 1 assert self._max_size >= self._min_size + assert self._initial_size <= self._max_size + assert self._initial_size >= self._min_size assert self._max_tasks_in_flight >= 1 assert self._create_actor_fn is not None @@ -820,6 +826,9 @@ def max_actor_concurrency(self) -> int: def num_tasks_in_flight(self) -> int: return self._total_num_tasks_in_flight + def initial_size(self) -> int: + return self._initial_size + def _can_apply(self, config: ActorPoolScalingRequest) -> bool: """Returns whether Actor Pool is able to execute scaling request""" diff --git a/python/ray/data/_internal/util.py b/python/ray/data/_internal/util.py index d5220441f9f7..3db54be3d547 100644 --- a/python/ray/data/_internal/util.py +++ b/python/ray/data/_internal/util.py @@ -571,7 +571,7 @@ def get_compute_strategy( fn: "UserDefinedFunction", fn_constructor_args: Optional[Iterable[Any]] = None, compute: Optional[Union[str, "ComputeStrategy"]] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ) -> "ComputeStrategy": """Get `ComputeStrategy` based on the function or class, and concurrency information. @@ -630,26 +630,34 @@ def get_compute_strategy( return compute elif concurrency is not None: if isinstance(concurrency, tuple): - if ( - len(concurrency) == 2 - and isinstance(concurrency[0], int) - and isinstance(concurrency[1], int) + # Validate tuple length and that all elements are integers + if len(concurrency) not in (2, 3) or not all( + isinstance(c, int) for c in concurrency ): - if is_callable_class: - return ActorPoolStrategy( - min_size=concurrency[0], max_size=concurrency[1] - ) - else: - raise ValueError( - "``concurrency`` is set as a tuple of integers, but ``fn`` " - f"is not a callable class: {fn}. Use ``concurrency=n`` to " - "control maximum number of workers to use." - ) - else: raise ValueError( "``concurrency`` is expected to be set as a tuple of " f"integers, but got: {concurrency}." ) + + # Check if function is callable class (common validation) + if not is_callable_class: + raise ValueError( + "``concurrency`` is set as a tuple of integers, but ``fn`` " + f"is not a callable class: {fn}. Use ``concurrency=n`` to " + "control maximum number of workers to use." + ) + + # Create ActorPoolStrategy based on tuple length + if len(concurrency) == 2: + return ActorPoolStrategy( + min_size=concurrency[0], max_size=concurrency[1] + ) + else: # len(concurrency) == 3 + return ActorPoolStrategy( + min_size=concurrency[0], + max_size=concurrency[1], + initial_size=concurrency[2], + ) elif isinstance(concurrency, int): if is_callable_class: return ActorPoolStrategy(size=concurrency) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 9d655547e66b..53fcc3b0ef73 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -284,7 +284,7 @@ def map( num_cpus: Optional[float] = None, num_gpus: Optional[float] = None, memory: Optional[float] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, ) -> "Dataset": @@ -371,6 +371,9 @@ def parse_filename(row: Dict[str, Any]) -> Dict[str, Any]: * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n)``, Ray Data uses an autoscaling actor pool from ``m`` to ``n`` workers. + * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n, initial)``, Ray + Data uses an autoscaling actor pool from ``m`` to ``n`` workers, with an initial size of ``initial``. + * If ``fn`` is a class and ``concurrency`` isn't set (default), this method raises an error. @@ -467,7 +470,7 @@ def map_batches( num_cpus: Optional[float] = None, num_gpus: Optional[float] = None, memory: Optional[float] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, ) -> "Dataset": @@ -632,6 +635,9 @@ def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n)``, Ray Data uses an autoscaling actor pool from ``m`` to ``n`` workers. + * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n, initial)``, Ray + Data uses an autoscaling actor pool from ``m`` to ``n`` workers, with an initial size of ``initial``. + * If ``fn`` is a class and ``concurrency`` isn't set (default), this method raises an error. @@ -722,7 +728,7 @@ def _map_batches_without_batch_size_validation( num_cpus: Optional[float], num_gpus: Optional[float], memory: Optional[float], - concurrency: Optional[Union[int, Tuple[int, int]]], + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]], ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]], **ray_remote_args, ): @@ -1117,7 +1123,7 @@ def rename_columns( self, names: Union[List[str], Dict[str, str]], *, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, **ray_remote_args, ): """Rename columns in the dataset. @@ -1251,7 +1257,7 @@ def flat_map( num_cpus: Optional[float] = None, num_gpus: Optional[float] = None, memory: Optional[float] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, ) -> "Dataset": @@ -1332,6 +1338,9 @@ def duplicate_row(row: Dict[str, Any]) -> List[Dict[str, Any]]: * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n)``, Ray Data uses an autoscaling actor pool from ``m`` to ``n`` workers. + * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n, initial)``, Ray + Data uses an autoscaling actor pool from ``m`` to ``n`` workers, with an initial size of ``initial``. + * If ``fn`` is a class and ``concurrency`` isn't set (default), this method raises an error. @@ -1394,7 +1403,7 @@ def filter( fn_kwargs: Optional[Dict[str, Any]] = None, fn_constructor_args: Optional[Iterable[Any]] = None, fn_constructor_kwargs: Optional[Dict[str, Any]] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, ) -> "Dataset": @@ -1450,6 +1459,9 @@ def filter( * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n)``, Ray Data uses an autoscaling actor pool from ``m`` to ``n`` workers. + * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n, initial)``, Ray + Data uses an autoscaling actor pool from ``m`` to ``n`` workers, with an initial size of ``initial``. + * If ``fn`` is a class and ``concurrency`` isn't set (default), this method raises an error. diff --git a/python/ray/data/grouped_data.py b/python/ray/data/grouped_data.py index 0771c6bac3f6..0d7fb0ed5e2b 100644 --- a/python/ray/data/grouped_data.py +++ b/python/ray/data/grouped_data.py @@ -108,7 +108,7 @@ def map_groups( num_cpus: Optional[float] = None, num_gpus: Optional[float] = None, memory: Optional[float] = None, - concurrency: Optional[Union[int, Tuple[int, int]]] = None, + concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, ) -> "Dataset": @@ -201,6 +201,9 @@ def map_groups( * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n)``, Ray Data uses an autoscaling actor pool from ``m`` to ``n`` workers. + * If ``fn`` is a class and ``concurrency`` is a tuple ``(m, n, initial)``, Ray + Data uses an autoscaling actor pool from ``m`` to ``n`` workers, with an initial size of ``initial``. + * If ``fn`` is a class and ``concurrency`` isn't set (default), this method raises an error. diff --git a/python/ray/data/tests/test_actor_pool_map_operator.py b/python/ray/data/tests/test_actor_pool_map_operator.py index f12f8da8df40..66dcad11f0db 100644 --- a/python/ray/data/tests/test_actor_pool_map_operator.py +++ b/python/ray/data/tests/test_actor_pool_map_operator.py @@ -16,7 +16,7 @@ from ray.actor import ActorHandle from ray.data._internal.actor_autoscaler import ActorPoolScalingRequest from ray.data._internal.execution.bundle_queue import FIFOBundleQueue -from ray.data._internal.execution.interfaces import ExecutionResources +from ray.data._internal.execution.interfaces import ExecutionOptions, ExecutionResources from ray.data._internal.execution.interfaces.physical_operator import _ActorPoolInfo from ray.data._internal.execution.interfaces.ref_bundle import RefBundle from ray.data._internal.execution.operators.actor_pool_map_operator import ( @@ -92,11 +92,13 @@ def _create_actor_pool( self, min_size=1, max_size=4, + initial_size=1, max_tasks_in_flight=4, ): pool = _ActorPool( min_size=min_size, max_size=max_size, + initial_size=initial_size, max_actor_concurrency=1, max_tasks_in_flight_per_actor=max_tasks_in_flight, create_actor_fn=self._create_actor_fn, @@ -591,6 +593,27 @@ def test_locality_based_actor_ranking_no_locations(self): assert res5 is None +def test_setting_initial_size_for_actor_pool(): + data_context = ray.data.DataContext.get_current() + op = ActorPoolMapOperator( + map_transformer=MagicMock(), + input_op=InputDataBuffer(data_context, input_data=MagicMock()), + data_context=data_context, + target_max_block_size=None, + compute_strategy=ray.data.ActorPoolStrategy( + min_size=1, max_size=4, initial_size=2 + ), + ray_remote_args={"num_cpus": 1}, + ) + + op.start(ExecutionOptions()) + + assert op._actor_pool.get_actor_info() == _ActorPoolInfo( + running=0, pending=2, restarting=0 + ) + ray.shutdown() + + def test_min_max_resource_requirements(restore_data_context): data_context = ray.data.DataContext.get_current() op = ActorPoolMapOperator( diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 4bf7550d7a1d..439d8d991170 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -301,8 +301,8 @@ def __call__(self, x): # Test function and class. for fn in [udf, UDFClass]: # Test concurrency with None, single integer and a tuple of integers. - for concurrency in [2, (2, 4)]: - if fn == udf and concurrency == (2, 4): + for concurrency in [2, (2, 4), (2, 6, 4)]: + if fn == udf and (concurrency == (2, 4) or concurrency == (2, 6, 4)): error_message = "``concurrency`` is set as a tuple of integers" with pytest.raises(ValueError, match=error_message): ds.map(fn, concurrency=concurrency).take_all() @@ -312,7 +312,7 @@ def __call__(self, x): # Test concurrency with an illegal value. error_message = "``concurrency`` is expected to be set a" - for concurrency in ["dummy", (1, 3, 5)]: + for concurrency in ["dummy", (1, 3, 5, 7)]: with pytest.raises(ValueError, match=error_message): ds.map(UDFClass, concurrency=concurrency).take_all() From 1ff61bd6de0f3b06155a37ed03260299c5b59561 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 10 Sep 2025 11:55:49 -0700 Subject: [PATCH 1148/1566] [ci] raydepsets: adding pre hooks for depsets (#56180) adding pre hooks for depsets - pre hooks can be defined on each depset - executed - replacing compile_llm_requirements with a pre hook (remove_compiled_headers.sh) - Adding unit tests for pre_hooks in test_cli and test_workspace --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/raydepsets/BUILD.bazel | 2 ++ ci/raydepsets/cli.py | 34 +++++++++++++++---- .../pre_hooks/remove-compiled-headers.sh | 17 ++++++++++ ci/raydepsets/rayllm.depsets.yaml | 2 ++ ci/raydepsets/tests/test_cli.py | 26 ++++++++++++-- .../tests/test_data/pre-hook-error-test.sh | 7 ++++ .../tests/test_data/pre-hook-test.sh | 5 +++ .../tests/test_data/test.depsets.yaml | 7 ++++ ci/raydepsets/tests/test_workspace.py | 11 +++++- ci/raydepsets/tests/utils.py | 6 ++++ ci/raydepsets/workspace.py | 2 ++ ci/test_compile_llm_requirements.sh | 2 +- 12 files changed, 111 insertions(+), 10 deletions(-) create mode 100755 ci/raydepsets/pre_hooks/remove-compiled-headers.sh create mode 100755 ci/raydepsets/tests/test_data/pre-hook-error-test.sh create mode 100755 ci/raydepsets/tests/test_data/pre-hook-test.sh diff --git a/ci/raydepsets/BUILD.bazel b/ci/raydepsets/BUILD.bazel index b253519ec9dd..9802526e950a 100644 --- a/ci/raydepsets/BUILD.bazel +++ b/ci/raydepsets/BUILD.bazel @@ -35,6 +35,8 @@ py_test( name = "test_cli", srcs = ["tests/test_cli.py"], data = [ + "tests/test_data/pre-hook-error-test.sh", + "tests/test_data/pre-hook-test.sh", "tests/test_data/requirement_constraints_test.txt", "tests/test_data/requirements_compiled_test.txt", "tests/test_data/requirements_compiled_test_expand.txt", diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index e614d5a3a179..0f9aa59e66e2 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -149,21 +149,31 @@ def _build(self): for depset in self.config.depsets: if depset.operation == "compile": self.build_graph.add_node( - depset.name, operation="compile", depset=depset + depset.name, operation="compile", depset=depset, node_type="depset" ) elif depset.operation == "subset": self.build_graph.add_node( - depset.name, operation="subset", depset=depset + depset.name, operation="subset", depset=depset, node_type="depset" ) self.build_graph.add_edge(depset.source_depset, depset.name) elif depset.operation == "expand": self.build_graph.add_node( - depset.name, operation="expand", depset=depset + depset.name, operation="expand", depset=depset, node_type="depset" ) for depset_name in depset.depsets: self.build_graph.add_edge(depset_name, depset.name) else: raise ValueError(f"Invalid operation: {depset.operation}") + if depset.pre_hooks: + for ind, hook in enumerate(depset.pre_hooks): + hook_name = f"{depset.name}_pre_hook_{ind+1}" + self.build_graph.add_node( + hook_name, + operation="pre_hook", + pre_hook=hook, + node_type="pre_hook", + ) + self.build_graph.add_edge(hook_name, depset.name) def subgraph_dependency_nodes(self, depset_name: str): dependency_nodes = networkx_ancestors(self.build_graph, depset_name) @@ -177,8 +187,13 @@ def execute(self, single_depset_name: Optional[str] = None): self.subgraph_dependency_nodes(single_depset_name) for node in topological_sort(self.build_graph): - depset = self.build_graph.nodes[node]["depset"] - self.execute_single(depset) + node_type = self.build_graph.nodes[node]["node_type"] + if node_type == "pre_hook": + pre_hook = self.build_graph.nodes[node]["pre_hook"] + self.execute_pre_hook(pre_hook) + elif node_type == "depset": + depset = self.build_graph.nodes[node]["depset"] + self.execute_depset(depset) def exec_uv_cmd( self, cmd: str, args: List[str], stdin: Optional[bytes] = None @@ -190,7 +205,14 @@ def exec_uv_cmd( raise RuntimeError(f"Failed to execute command: {cmd}") return status.stdout - def execute_single(self, depset: Depset): + def execute_pre_hook(self, pre_hook: str): + status_code = subprocess.call(pre_hook, cwd=self.workspace.dir) + if status_code != 0: + raise RuntimeError(f"Failed to execute pre-hook: {pre_hook}") + click.echo(f"Executed pre-hook: {pre_hook}") + return status_code + + def execute_depset(self, depset: Depset): if depset.operation == "compile": self.compile( constraints=depset.constraints, diff --git a/ci/raydepsets/pre_hooks/remove-compiled-headers.sh b/ci/raydepsets/pre_hooks/remove-compiled-headers.sh new file mode 100755 index 000000000000..37f32d3808f9 --- /dev/null +++ b/ci/raydepsets/pre_hooks/remove-compiled-headers.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +set -euo pipefail + +PYTHON_CODE="$(python -c "import sys; v=sys.version_info; print(f'py{v.major}{v.minor}')")" +if [[ "${PYTHON_CODE}" != "py311" ]]; then + echo "--- Python version is not 3.11" + echo "--- Current Python version: ${PYTHON_CODE}" + exit 1 +fi + +mkdir -p /tmp/ray-deps + +# Remove the GPU constraints +cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt +sed -e '/^--extra-index-url /d' -e '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt > /tmp/ray-deps/requirements_compiled.txt.tmp +mv /tmp/ray-deps/requirements_compiled.txt.tmp /tmp/ray-deps/requirements_compiled.txt diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index d96df6168dc7..e34be3bd104c 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -34,6 +34,8 @@ depsets: - /tmp/ray-deps/requirements_compiled.txt output: python/deplocks/llm/ray_test_${PYTHON_VERSION}_${CUDA_CODE}.lock operation: compile + pre_hooks: + - ci/raydepsets/pre_hooks/remove-compiled-headers.sh # Second, expand it into LLM test dependencies. - name: compiled_ray_llm_test_depset_${PYTHON_VERSION}_${CUDA_CODE} diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index a05932336f9c..3dd24d9ee87a 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -387,8 +387,8 @@ def test_build_graph(self): copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert manager.build_graph is not None - assert len(manager.build_graph.nodes()) == 6 - assert len(manager.build_graph.edges()) == 3 + assert len(manager.build_graph.nodes()) == 8 + assert len(manager.build_graph.edges()) == 4 # assert that the compile depsets are first assert ( manager.build_graph.nodes["general_depset__py311_cpu"]["operation"] @@ -581,6 +581,28 @@ def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): with self.assertRaises(KeyError): _get_depset(manager.config.depsets, "build_args_test_depset_py311") + def test_execute_single_pre_hook(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.execute_pre_hook("pre-hook-test.sh") + + def test_execute_single_invalid_pre_hook(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + with self.assertRaises(RuntimeError): + manager.execute_pre_hook("pre-hook-error-test.sh") + + def test_execute_pre_hooks_failure_in_middle(self): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + with self.assertRaises(RuntimeError): + manager.execute_pre_hook("pre-hook-test.sh") + manager.execute_pre_hook("pre-hook-error-test.sh") + manager.execute_pre_hook("pre-hook-test.sh") + def test_copy_lock_files_to_temp_dir(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) diff --git a/ci/raydepsets/tests/test_data/pre-hook-error-test.sh b/ci/raydepsets/tests/test_data/pre-hook-error-test.sh new file mode 100755 index 000000000000..4196354f3deb --- /dev/null +++ b/ci/raydepsets/tests/test_data/pre-hook-error-test.sh @@ -0,0 +1,7 @@ +#!/bin/bash + +set -euo pipefail + +echo "Pre-hook test error" + +exit 1 diff --git a/ci/raydepsets/tests/test_data/pre-hook-test.sh b/ci/raydepsets/tests/test_data/pre-hook-test.sh new file mode 100755 index 000000000000..bd86a37a2e34 --- /dev/null +++ b/ci/raydepsets/tests/test_data/pre-hook-test.sh @@ -0,0 +1,5 @@ +#!/bin/bash + +set -euo pipefail + +echo "Pre-hook test" diff --git a/ci/raydepsets/tests/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml index 2508025e2524..97950a046a68 100644 --- a/ci/raydepsets/tests/test_data/test.depsets.yaml +++ b/ci/raydepsets/tests/test_data/test.depsets.yaml @@ -51,3 +51,10 @@ depsets: output: requirements_compiled_expand_general.txt build_arg_sets: - py311_cpu + - name: pre_hook_test_depset + operation: compile + requirements: + - requirements_test.txt + output: requirements_compiled_pre_hook.txt + pre_hooks: + - pre-hook-test.sh diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index 50ca28aedf65..a79ce82d4b60 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -4,7 +4,7 @@ import pytest -from ci.raydepsets.tests.utils import copy_data_to_tmpdir +from ci.raydepsets.tests.utils import copy_data_to_tmpdir, get_depset_by_name from ci.raydepsets.workspace import BuildArgSet, Workspace, _substitute_build_args @@ -68,5 +68,14 @@ def test_invalid_build_arg_set(): workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") +def test_parse_pre_hooks(): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + workspace = Workspace(dir=tmpdir) + config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") + pre_hook_depset = get_depset_by_name(config.depsets, "pre_hook_test_depset") + assert pre_hook_depset.pre_hooks == ["pre-hook-test.sh"] + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/tests/utils.py b/ci/raydepsets/tests/utils.py index 6e3ca310b7d7..5f531cf7c3c0 100644 --- a/ci/raydepsets/tests/utils.py +++ b/ci/raydepsets/tests/utils.py @@ -43,3 +43,9 @@ def save_file_as(input_file, output_file): def append_to_file(filepath, new): with open(filepath, "a") as f: f.write(new + "\n") + + +def get_depset_by_name(depsets, name): + for depset in depsets: + if depset.name == name: + return depset diff --git a/ci/raydepsets/workspace.py b/ci/raydepsets/workspace.py index 46d9f74223f0..cbebc79890f8 100644 --- a/ci/raydepsets/workspace.py +++ b/ci/raydepsets/workspace.py @@ -23,6 +23,7 @@ class Depset: packages: Optional[List[str]] = None source_depset: Optional[str] = None depsets: Optional[List[str]] = None + pre_hooks: Optional[List[str]] = None def _substitute_build_args(obj: Any, build_arg_set: BuildArgSet): @@ -50,6 +51,7 @@ def _dict_to_depset(depset: dict) -> Depset: depsets=depset.get("depsets", []), override_flags=depset.get("override_flags", []), append_flags=depset.get("append_flags", []), + pre_hooks=depset.get("pre_hooks", []), packages=depset.get("packages", []), ) diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index 0843b7bcaac4..ee2ae90126f4 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -22,7 +22,7 @@ for LOCK_TYPE in "${LOCK_TYPES[@]}"; do done done -./ci/compile_llm_requirements.sh ci/raydepsets/rayllm.depsets.yaml +bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayllm.depsets.yaml # Copy files to artifact mount on Buildkite for LOCK_TYPE in "${LOCK_TYPES[@]}"; do From 65b6efc2cebf7710e3c35792978f73ec5f4e9706 Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Wed, 10 Sep 2025 12:36:17 -0700 Subject: [PATCH 1149/1566] [Data] Fix resource reservation by excluding completed operators' usages (#56319) ## Problem The `ReservationOpResourceAllocator` was incorrectly accounting for resource usage when calculating available resources for reservation. Specifically, it wasn't properly handling completed operators who have blocks in the output queue. The `ReadFiles` operator below consumes 50 GB of object store memory and should be excluded from reservation, but it is currently not. image ## Solution Added logic to identify and subtract resource usage specifically from completed physical operators: ## Testing results Before the fix image After the fix image ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../_internal/execution/resource_manager.py | 42 ++- .../ray/data/tests/test_resource_manager.py | 353 ++++++++++++++++++ 2 files changed, 393 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index f18e3a3f9771..4b2bfe4af666 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -493,18 +493,56 @@ def _get_eligible_ops(self) -> List[PhysicalOperator]: op for op in self._resource_manager._topology if self._is_op_eligible(op) ] + def _get_ineligible_ops_with_usage(self) -> List[PhysicalOperator]: + """ + Resource reservation is based on the number of eligible operators. + However, there might be completed operators that still have blocks in their output queue, which we need to exclude them from the reservation. + And we also need to exclude the downstream ineligible operators. + + E.g., for the following pipeline: + ``` + map1 (completed, but still has blocks in its output queue) -> limit1 (ineligible, not completed) -> map2 (not completed) -> limit2 -> map3 + ``` + + The reservation is based on the number of eligible operators (map2 and map3), but we need to exclude map1 and limit1 from the reservation. + """ + last_completed_ops = [] + ops_to_exclude_from_reservation = [] + # Traverse operator tree collecting all operators that have already finished + for op in self._resource_manager._topology: + if not op.execution_finished(): + for dep in op.input_dependencies: + if dep.execution_finished(): + last_completed_ops.append(dep) + + # In addition to completed operators, + # filter out downstream ineligible operators since they are omitted from reservation calculations. + for op in last_completed_ops: + ops_to_exclude_from_reservation.extend( + list(self._get_downstream_ineligible_ops(op)) + ) + ops_to_exclude_from_reservation.append(op) + return list(set(ops_to_exclude_from_reservation)) + def _update_reservation(self): - global_limits = self._resource_manager.get_global_limits() + global_limits = self._resource_manager.get_global_limits().copy() eligible_ops = self._get_eligible_ops() self._op_reserved.clear() self._reserved_for_op_outputs.clear() self._reserved_min_resources.clear() - remaining = global_limits.copy() if len(eligible_ops) == 0: return + op_to_exclude_from_reservation = self._get_ineligible_ops_with_usage() + for completed_op in op_to_exclude_from_reservation: + global_limits = global_limits.subtract( + self._resource_manager.get_op_usage(completed_op) + ) + global_limits = global_limits.max(ExecutionResources.zero()) + remaining = global_limits.copy() + # Reserve `reservation_ratio * global_limits / num_ops` resources for each # operator. default_reserved = global_limits.scale( diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index 90b69361e51b..fe03b8d1d3be 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -10,8 +10,10 @@ ExecutionResources, ) from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer +from ray.data._internal.execution.operators.join import JoinOperator from ray.data._internal.execution.operators.limit_operator import LimitOperator from ray.data._internal.execution.operators.map_operator import MapOperator +from ray.data._internal.execution.operators.union_operator import UnionOperator from ray.data._internal.execution.resource_manager import ( ReservationOpResourceAllocator, ResourceManager, @@ -45,6 +47,45 @@ def mock_map_op( return op +def mock_union_op( + input_ops, + incremental_resource_usage=None, +): + op = UnionOperator( + DataContext.get_current(), + *input_ops, + ) + op.start = MagicMock(side_effect=lambda _: None) + if incremental_resource_usage is not None: + op.incremental_resource_usage = MagicMock( + return_value=incremental_resource_usage + ) + return op + + +def mock_join_op( + left_input_op, + right_input_op, + incremental_resource_usage=None, +): + op = JoinOperator( + DataContext.get_current(), + left_input_op, + right_input_op, + ("id",), + ("id",), + "inner", + num_partitions=1, + ) + + op.start = MagicMock(side_effect=lambda _: None) + if incremental_resource_usage is not None: + op.incremental_resource_usage = MagicMock( + return_value=incremental_resource_usage + ) + return op + + class TestResourceManager: """Unit tests for ResourceManager.""" @@ -740,6 +781,318 @@ def test_gpu_usage_exceeds_global_limits(self, restore_data_context): assert allocator._op_budgets[o2].gpu == 0 + def test_get_ineligible_ops_with_usage(self, restore_data_context): + DataContext.get_current().op_resource_reservation_enabled = True + + o1 = InputDataBuffer(DataContext.get_current(), []) + o2 = mock_map_op( + o1, + ) + o3 = LimitOperator(1, o2, DataContext.get_current()) + o4 = mock_map_op( + o3, + ) + o5 = mock_map_op( + o4, + ) + o1.mark_execution_finished() + o2.mark_execution_finished() + + topo, _ = build_streaming_topology(o5, ExecutionOptions()) + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + + allocator = resource_manager._op_resource_allocator + + ops_to_exclude = allocator._get_ineligible_ops_with_usage() + assert len(ops_to_exclude) == 2 + assert set(ops_to_exclude) == {o2, o3} + + def test_get_ineligible_ops_with_usage_complex_graph(self, restore_data_context): + """ + o1 (InputDataBuffer) + | + v + o2 (MapOperator, completed) + | + v + o3 (LimitOperator) + | + v o4 (InputDataBuffer) + | | + | v + | o5 (MapOperator, completed) + | | + v v + o6 (UnionOperator) <-- + | + v + o8 (JoinOperator) <-- o7 (InputDataBuffer, completed) + """ + DataContext.get_current().op_resource_reservation_enabled = True + + o1 = InputDataBuffer(DataContext.get_current(), []) + o2 = mock_map_op( + o1, + ) + o3 = LimitOperator(1, o2, DataContext.get_current()) + o4 = InputDataBuffer(DataContext.get_current(), []) + o5 = mock_map_op( + o4, + ) + o6 = mock_union_op([o3, o5]) + o7 = InputDataBuffer(DataContext.get_current(), []) + o8 = mock_join_op(o7, o6) + + o1.mark_execution_finished() + o2.mark_execution_finished() + o4.mark_execution_finished() + o5.mark_execution_finished() + o7.mark_execution_finished() + + topo, _ = build_streaming_topology(o8, ExecutionOptions()) + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + + allocator = resource_manager._op_resource_allocator + + ops_to_exclude = allocator._get_ineligible_ops_with_usage() + assert len(ops_to_exclude) == 4 + assert set(ops_to_exclude) == {o2, o3, o5, o7} + + def test_reservation_accounts_for_completed_ops(self, restore_data_context): + """Test that resource reservation properly accounts for completed ops.""" + DataContext.get_current().op_resource_reservation_enabled = True + DataContext.get_current().op_resource_reservation_ratio = 0.5 + + o1 = InputDataBuffer(DataContext.get_current(), []) + o2 = mock_map_op(o1, incremental_resource_usage=ExecutionResources(1, 0, 10)) + o3 = mock_map_op(o2, incremental_resource_usage=ExecutionResources(1, 0, 10)) + o4 = mock_map_op(o3, incremental_resource_usage=ExecutionResources(1, 0, 10)) + o1.mark_execution_finished() + o2.mark_execution_finished() + + op_usages = { + o1: ExecutionResources.zero(), + o2: ExecutionResources(cpu=2, object_store_memory=50), + o3: ExecutionResources.zero(), + o4: ExecutionResources.zero(), + } + op_internal_usage = dict.fromkeys([o1, o2, o3, o4], 0) + op_outputs_usages = dict.fromkeys([o1, o2, o3, o4], 0) + + topo, _ = build_streaming_topology(o4, ExecutionOptions()) + + global_limits = ExecutionResources(cpu=10, object_store_memory=250) + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + resource_manager.get_op_usage = MagicMock(side_effect=lambda op: op_usages[op]) + resource_manager._mem_op_internal = op_internal_usage + resource_manager._mem_op_outputs = op_outputs_usages + resource_manager.get_global_limits = MagicMock(return_value=global_limits) + + allocator = resource_manager._op_resource_allocator + allocator.update_usages() + + # Check that o2's usage was subtracted from remaining resources + # global_limits (10 CPU, 250 mem) - o1 usage (0) - o2 usage (2 CPU, 50 mem) = remaining (8 CPU, 200 mem) + # With 2 eligible ops (o3, o4) and 50% reservation ratio: + # Each op gets reserved: (8 CPU, 200 mem) * 0.5 / 2 = (2 CPU, 50 mem) + + # Verify that reservations are calculated correctly + assert allocator._op_reserved[o3].cpu == 2.0 + assert allocator._op_reserved[o4].cpu == 2.0 + + # The total reserved memory should account for o2's usage being subtracted + total_reserved_memory = ( + allocator._op_reserved[o3].object_store_memory + + allocator._reserved_for_op_outputs[o3] + + allocator._op_reserved[o4].object_store_memory + + allocator._reserved_for_op_outputs[o4] + ) + + assert abs(total_reserved_memory - 100) < 1.0 + + def test_reservation_accounts_for_completed_ops_complex_graph( + self, restore_data_context + ): + """ + o1 (InputDataBuffer) + | + v + o2 (MapOperator, completed) + | + v + o3 (LimitOperator) + | + v o4 (InputDataBuffer) + | | + | v + | o5 (MapOperator, completed) + | | + v v + o6 (UnionOperator) <-- + | + v + o8 (JoinOperator) <-- o7 (InputDataBuffer, completed) + """ + DataContext.get_current().op_resource_reservation_enabled = True + DataContext.get_current().op_resource_reservation_ratio = 0.5 + + o1 = InputDataBuffer(DataContext.get_current(), []) + o2 = mock_map_op(o1, incremental_resource_usage=ExecutionResources(1, 0, 15)) + o3 = LimitOperator(1, o2, DataContext.get_current()) + o4 = InputDataBuffer(DataContext.get_current(), []) + o5 = mock_map_op(o4, incremental_resource_usage=ExecutionResources(1, 0, 10)) + o6 = mock_union_op( + [o3, o5], incremental_resource_usage=ExecutionResources(1, 0, 20) + ) + o7 = InputDataBuffer(DataContext.get_current(), []) + o8 = mock_join_op( + o7, o6, incremental_resource_usage=ExecutionResources(1, 0, 30) + ) + + o1.mark_execution_finished() + o2.mark_execution_finished() + o4.mark_execution_finished() + o5.mark_execution_finished() + o7.mark_execution_finished() + + op_usages = { + o1: ExecutionResources.zero(), + o2: ExecutionResources(cpu=2, object_store_memory=150), + o3: ExecutionResources(cpu=2, object_store_memory=50), + o4: ExecutionResources.zero(), + o5: ExecutionResources(cpu=3, object_store_memory=100), + o6: ExecutionResources.zero(), + o7: ExecutionResources(cpu=1, object_store_memory=100), + o8: ExecutionResources.zero(), + } + op_internal_usage = dict.fromkeys([o1, o2, o3, o4, o5, o6, o7, o8], 0) + op_outputs_usages = dict.fromkeys([o1, o2, o3, o4, o5, o6, o7, o8], 0) + + topo, _ = build_streaming_topology(o8, ExecutionOptions()) + + global_limits = ExecutionResources.zero() + + def mock_get_global_limits(): + nonlocal global_limits + return global_limits + + resource_manager = ResourceManager( + topo, ExecutionOptions(), MagicMock(), DataContext.get_current() + ) + resource_manager.get_op_usage = MagicMock(side_effect=lambda op: op_usages[op]) + resource_manager.get_global_limits = MagicMock( + side_effect=mock_get_global_limits + ) + resource_manager._mem_op_internal = op_internal_usage + resource_manager._mem_op_outputs = op_outputs_usages + + allocator = resource_manager._op_resource_allocator + global_limits = ExecutionResources(cpu=20, object_store_memory=2000) + allocator.update_usages() + """ + global_limits (20 CPU, 2000 mem) - o2 usage (2 CPU, 150 mem) - o3 usage (2 CPU, 50 mem) - o5 usage (3 CPU, 100 mem) - o7 usage (1 CPU, 100 mem) = remaining (12 CPU, 1600 mem) + +-----+------------------+------------------+--------------+ + | | _op_reserved | _reserved_for | used shared | + | | (used/remaining) | _op_outputs | resources | + | | | (used/remaining) | | + +-----+------------------+------------------+--------------+ + | op6 | 0/200 | 0/200 | 0 | + +-----+------------------+------------------+--------------+ + | op8 | 0/200 | 0/200 | 0 | + +-----+------------------+------------------+--------------+ + """ + assert set(allocator._op_budgets.keys()) == {o6, o8} + assert set(allocator._op_reserved.keys()) == {o6, o8} + assert allocator._op_reserved[o6] == ExecutionResources( + cpu=3, object_store_memory=200 + ) + assert allocator._op_reserved[o8] == ExecutionResources( + cpu=3, object_store_memory=200 + ) + assert allocator._reserved_for_op_outputs[o6] == 200 + assert allocator._reserved_for_op_outputs[o8] == 200 + assert allocator._total_shared == ExecutionResources( + cpu=6, object_store_memory=800 + ) + assert allocator._op_budgets[o6] == ExecutionResources( + cpu=6, object_store_memory=600 + ) + assert allocator._op_budgets[o8] == ExecutionResources( + cpu=6, object_store_memory=600 + ) + + # Test when resources are used. + op_usages[o6] = ExecutionResources(2, 0, 500) + op_internal_usage[o6] = 300 + op_outputs_usages[o6] = 200 + op_usages[o8] = ExecutionResources(2, 0, 100) + op_internal_usage[o8] = 50 + op_outputs_usages[o8] = 50 + """ + +-----+------------------+------------------+--------------+ + | | _op_reserved | _reserved_for | used shared | + | | (used/remaining) | _op_outputs | resources | + | | | (used/remaining) | | + +-----+------------------+------------------+--------------+ + | op6 | 200/0 | 200/0 | 100 | + +-----+------------------+------------------+--------------+ + | op8 | 50/150 | 50/150 | 0 | + +-----+------------------+------------------+--------------+ + """ + allocator.update_usages() + assert allocator._op_budgets[o6] == ExecutionResources( + cpu=4, object_store_memory=350 + ) + assert allocator._op_budgets[o8] == ExecutionResources( + cpu=4, object_store_memory=500 + ) + + # Test when completed ops update the usage. + op_usages[o5] = ExecutionResources.zero() + allocator.update_usages() + """ + global_limits (20 CPU, 2000 mem) - o2 usage (2 CPU, 150 mem) - o3 usage (2 CPU, 50 mem) - o5 usage (0 CPU, 0 mem) - o7 usage (1 CPU, 100 mem) = remaining (15 CPU, 1700 mem) + +-----+------------------+------------------+--------------+ + | | _op_reserved | _reserved_for | used shared | + | | (used/remaining) | _op_outputs | resources | + | | | (used/remaining) | | + +-----+------------------+------------------+--------------+ + | op6 | 213/0 | 200/13 | 300-213=87 | + +-----+------------------+------------------+--------------+ + | op8 | 50/163 | 50/163 | 0 | + +-----+------------------+------------------+--------------+ + """ + assert set(allocator._op_budgets.keys()) == {o6, o8} + assert set(allocator._op_reserved.keys()) == {o6, o8} + assert allocator._op_reserved[o6] == ExecutionResources( + cpu=3.75, object_store_memory=213 + ) + assert allocator._op_reserved[o8] == ExecutionResources( + cpu=3.75, object_store_memory=213 + ) + assert allocator._reserved_for_op_outputs[o6] == 212 + assert allocator._reserved_for_op_outputs[o8] == 212 + assert allocator._total_shared == ExecutionResources( + cpu=7.5, object_store_memory=850 + ) + # object_store_memory budget = 0 + (850 - 87) / 2 = 381 (rounded down) + assert allocator._op_budgets[o6] == ExecutionResources( + cpu=5.5, object_store_memory=381 + ) + # object_store_memory budget = 163 + (850 - 87) / 2 = 545 (rounded up) + assert allocator._op_budgets[o8] == ExecutionResources( + cpu=5.5, object_store_memory=545 + ) + if __name__ == "__main__": import sys From 64256eca59718cdb6ce0b0ecec3e3f1360491722 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Wed, 10 Sep 2025 12:44:55 -0700 Subject: [PATCH 1150/1566] integrate deployment ranks with deployment state (#55829) Integrate `DeploymentRankManager` with `DeploymentState`'s state machine. 1. Ranks are assigned when replica go to the Running from the Starting state 2. Ranks are released when replicas are fully stopped. 3. We check of consistency and minimally reassign rank in each update cycle. This is only applicable when there are holes in ranks after a downscaling event. 4. Rank manager updates its state about the replica rank if previous state was recovering and the replicas' startup succeeded. This is only applicable in the case of a controller restart. Next PR https://github.com/ray-project/ray/pull/56120 --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 156 +++++++- python/ray/serve/tests/unit/BUILD.bazel | 10 +- .../serve/tests/unit/test_deployment_state.py | 367 +++++++++++++++++- 3 files changed, 514 insertions(+), 19 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 96658abd2cb9..04d5519aacf1 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -424,12 +424,15 @@ def initialization_latency_s(self) -> Optional[float]: return self._initialization_latency_s - def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: + def start( + self, deployment_info: DeploymentInfo, rank: int + ) -> ReplicaSchedulingRequest: """Start the current DeploymentReplica instance. The replica will be in the STARTING and PENDING_ALLOCATION states until the deployment scheduler schedules the underlying actor. """ + self._rank = rank # Store the rank assigned to this replica self._actor_resources = deployment_info.replica_config.resource_dict self._ingress = deployment_info.ingress # it is currently not possible to create a placement group @@ -460,8 +463,6 @@ def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: if self._deployment_is_cross_language else deployment_info.replica_config.serialized_init_args ) - # TODO(abrar): Fill in the correct rank - rank = 0 init_args = ( self.replica_id, cloudpickle.dumps(deployment_info.replica_config.deployment_def) @@ -591,7 +592,11 @@ def _format_user_config(self, user_config: Any): temp = msgpack_deserialize(temp) return temp - def reconfigure(self, version: DeploymentVersion) -> bool: + def reconfigure( + self, + version: DeploymentVersion, + rank: int, + ) -> bool: """ Update replica version. Also, updates the deployment config on the actor behind this DeploymentReplica instance if necessary. @@ -599,16 +604,22 @@ def reconfigure(self, version: DeploymentVersion) -> bool: Returns: whether the actor is being updated. """ updating = False - if self._version.requires_actor_reconfigure(version): + + # Determine if we need heavyweight reconfiguration + # vs lightweight updates + needs_actor_reconfigure = self._version.requires_actor_reconfigure(version) + has_rank_changes = self._rank != rank + + if needs_actor_reconfigure or has_rank_changes: # Call into replica actor reconfigure() with updated user config and # graceful_shutdown_wait_loop_s + # Setting updating=True because we want to transition to UPDATING state + # when rank is updated or deployment config changes. updating = True deployment_config = copy(version.deployment_config) deployment_config.user_config = self._format_user_config( deployment_config.user_config ) - # TODO(abrar): FIll in the correct rank - rank = 0 self._ready_obj_ref = self._actor_handle.reconfigure.remote( deployment_config, rank, @@ -616,6 +627,7 @@ def reconfigure(self, version: DeploymentVersion) -> bool: ) self._version = version + self._rank = rank return updating def recover(self) -> bool: @@ -1125,24 +1137,30 @@ def initialization_latency_s(self) -> Optional[float]: return self._actor.initialization_latency_s - def start(self, deployment_info: DeploymentInfo) -> ReplicaSchedulingRequest: + def start( + self, deployment_info: DeploymentInfo, rank: int + ) -> ReplicaSchedulingRequest: """ Start a new actor for current DeploymentReplica instance. """ - replica_scheduling_request = self._actor.start(deployment_info) + replica_scheduling_request = self._actor.start(deployment_info, rank=rank) self._start_time = time.time() self._logged_shutdown_message = False self.update_actor_details(start_time_s=self._start_time) return replica_scheduling_request - def reconfigure(self, version: DeploymentVersion) -> bool: + def reconfigure( + self, + version: DeploymentVersion, + rank: int, + ) -> bool: """ Update replica version. Also, updates the deployment config on the actor behind this DeploymentReplica instance if necessary. Returns: whether the actor is being updated. """ - return self._actor.reconfigure(version) + return self._actor.reconfigure(version, rank=rank) def recover(self) -> bool: """ @@ -1160,6 +1178,11 @@ def recover(self) -> bool: self.update_actor_details(start_time_s=self._start_time) return True + @property + def rank(self) -> Optional[int]: + """Get the rank assigned to the replica.""" + return self._actor.rank + def check_started( self, ) -> Tuple[ReplicaStartupStatus, Optional[str], Optional[float]]: @@ -1706,6 +1729,8 @@ def __init__( DeploymentStatusTrigger.CONFIG_UPDATE_STARTED, ) + self._rank_manager = DeploymentRankManager() + self.replica_average_ongoing_requests: Dict[str, float] = {} self.health_check_gauge = metrics.Gauge( @@ -2204,7 +2229,13 @@ def _stop_or_update_outdated_version_replicas(self, max_to_stop=math.inf) -> boo self._target_state.version ): replicas_changed = True - actor_updating = replica.reconfigure(self._target_state.version) + # Get current rank for the replica + current_rank = self._rank_manager.get_replica_rank( + replica.replica_id.unique_id + ) + actor_updating = replica.reconfigure( + self._target_state.version, rank=current_rank + ) if actor_updating: self._replicas.add(ReplicaState.UPDATING, replica) else: @@ -2319,14 +2350,23 @@ def scale_deployment_replicas( logger.info(f"Adding {to_add} replica{'s' * (to_add>1)} to {self._id}.") for _ in range(to_add): replica_id = ReplicaID(get_random_string(), deployment_id=self._id) + + # Assign rank during replica creation (startup process) + assigned_rank = self._rank_manager.assign_rank(replica_id.unique_id) + + logger.info( + f"Assigned rank {assigned_rank} to new replica {replica_id.unique_id} during startup" + ) new_deployment_replica = DeploymentReplica( replica_id, self._target_state.version, ) - upscale.append( - new_deployment_replica.start(self._target_state.info) + scheduling_request = new_deployment_replica.start( + self._target_state.info, rank=assigned_rank ) + upscale.append(scheduling_request) + self._replicas.add(ReplicaState.STARTING, new_deployment_replica) elif delta_replicas < 0: @@ -2432,6 +2472,16 @@ def _check_startup_replicas( for replica in self._replicas.pop(states=[original_state]): start_status, error_msg = replica.check_started() if start_status == ReplicaStartupStatus.SUCCEEDED: + if original_state == ReplicaState.RECOVERING: + # If the previous state was RECOVERING, that mean the replica + # crashed and is now starting up again. We need to recover the rank + # from the replica actor. The invariant is that the rank is assigned + # during startup and before the replica is added to the replicas + # data structure with RUNNING state. + # Recover rank from the replica actor during controller restart + replica_id = replica.replica_id.unique_id + recovered_rank = replica.rank + self._rank_manager.recover_rank(replica_id, recovered_rank) # This replica should be now be added to handle's replica # set. self._replicas.add(ReplicaState.RUNNING, replica) @@ -2661,8 +2711,73 @@ def check_and_update_replicas(self): self._replicas.add(ReplicaState.STOPPING, replica) else: logger.info(f"{replica.replica_id} is stopped.") + # Release rank only after replica is successfully stopped + # This ensures rank is available during draining/graceful shutdown + replica_id = replica.replica_id.unique_id + self._rank_manager.release_rank(replica_id) + logger.info( + f"Released rank from replica {replica_id} in deployment {self._id}" + ) self._autoscaling_state_manager.on_replica_stopped(replica.replica_id) + # After replica state updates, check rank consistency and perform minimal reassignment if needed + # This ensures ranks are continuous after lifecycle events + # Only do consistency check when deployment is stable (not during active updates) + # maybe this constraint need to be relaxed in the future. The implication is that + # if we delay the rank reassignment, the rank system will be in an invalid state + # for a longer period of time. Abrar made this decision because he is not confident + # about how rollouts work in the deployment state machine. + active_replicas = self._replicas.get() + if ( + active_replicas + and self._curr_status_info.status == DeploymentStatus.HEALTHY + ): + replicas_to_reconfigure = ( + self._rank_manager.check_rank_consistency_and_reassign_minimally( + active_replicas, + ) + ) + + # Reconfigure replicas that had their ranks reassigned + self._reconfigure_replicas_with_new_ranks(replicas_to_reconfigure) + + def _reconfigure_replicas_with_new_ranks( + self, replicas_to_reconfigure: List["DeploymentReplica"] + ): + """Reconfigure replicas with their new ranks after reassignment. + This uses the reconfigure() mechanism to update replicas with their new ranks. + """ + if not replicas_to_reconfigure: + return + + logger.info( + f"Reconfiguring {len(replicas_to_reconfigure)} replicas with rank changes in deployment {self._id}" + ) + + updated_count = 0 + for replica in replicas_to_reconfigure: + replica_id = replica.replica_id.unique_id + new_rank = self._rank_manager.get_replica_rank(replica_id) + + # Use reconfigure() to update rank + # World size is calculated automatically from deployment config + _ = replica.reconfigure( + self._target_state.version, + rank=new_rank, + ) + updated_count += 1 + + logger.info( + f"Successfully reconfigured {updated_count} replicas with new ranks in deployment {self._id}" + ) + + def _get_replica_ranks_mapping(self) -> Dict[str, int]: + """Get the current mapping of replica IDs to ranks. + Returns: + Dictionary mapping replica_id to rank. + """ + return self._rank_manager.get_replica_ranks_mapping() + def _choose_pending_migration_replicas_to_stop( self, replicas: List[DeploymentReplica], @@ -3305,3 +3420,16 @@ def get_active_node_ids(self) -> Set[str]: for deployment_state in self._deployment_states.values(): node_ids.update(deployment_state.get_active_node_ids()) return node_ids + + def _get_replica_ranks_mapping(self, deployment_id: DeploymentID) -> Dict[str, int]: + """Get the current rank mapping for all replicas in a deployment. + Args: + deployment_id: The deployment ID to get ranks for. + Returns: + Dictionary mapping replica_id to rank. + """ + deployment_state = self._deployment_states.get(deployment_id) + if deployment_state is None: + return {} + + return deployment_state._get_replica_ranks_mapping() diff --git a/python/ray/serve/tests/unit/BUILD.bazel b/python/ray/serve/tests/unit/BUILD.bazel index 032ce7de5c5b..7e3510045199 100644 --- a/python/ray/serve/tests/unit/BUILD.bazel +++ b/python/ray/serve/tests/unit/BUILD.bazel @@ -21,7 +21,10 @@ py_test_run_all_subdirectory( py_test_module_list( size = "medium", - env = {"RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY": "1"}, + env = { + "RAY_SERVE_USE_COMPACT_SCHEDULING_STRATEGY": "1", + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, files = [ "test_deployment_scheduler.py", "test_deployment_state.py", @@ -40,7 +43,10 @@ py_test_module_list( py_test_module_list( size = "medium", - env = {"RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0"}, + env = { + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, files = [ "test_autoscaling_policy.py", "test_deployment_state.py", diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index ea910ee826d7..aab09ebdbbaa 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -62,6 +62,7 @@ # loop, so we can't "mark" a replica dead through a method. This global # state is cleared after each test that uses the fixtures in this file. dead_replicas_context = set() +replica_rank_context = {} TEST_DEPLOYMENT_ID = DeploymentID(name="test_deployment", app_name="test_app") TEST_DEPLOYMENT_ID_2 = DeploymentID(name="test_deployment_2", app_name="test_app") @@ -103,6 +104,7 @@ def __init__( self._pg_bundles = None self._initialization_latency_s = -1 self._docs_path = None + self._rank = replica_rank_context.get(replica_id.unique_id, None) @property def is_cross_language(self) -> bool: @@ -221,8 +223,10 @@ def set_node_id(self, node_id: str): def set_actor_id(self, actor_id: str): self._actor_id = actor_id - def start(self, deployment_info: DeploymentInfo): + def start(self, deployment_info: DeploymentInfo, rank: int): self.started = True + self._rank = rank + replica_rank_context[self._replica_id.unique_id] = rank def _on_scheduled_stub(*args, **kwargs): pass @@ -239,10 +243,20 @@ def _on_scheduled_stub(*args, **kwargs): on_scheduled=_on_scheduled_stub, ) - def reconfigure(self, version: DeploymentVersion): + @property + def rank(self) -> Optional[int]: + return self._rank + + def reconfigure( + self, + version: DeploymentVersion, + rank: int = None, + ): self.started = True updating = self.version.requires_actor_reconfigure(version) self.version = version + self._rank = rank + replica_rank_context[self._replica_id.unique_id] = rank return updating def recover(self): @@ -251,6 +265,7 @@ def recover(self): self.recovering = True self.started = False + self._rank = replica_rank_context.get(self._replica_id.unique_id, None) return True def check_ready(self) -> ReplicaStartupStatus: @@ -383,6 +398,7 @@ def create_deployment_state_manager( ) dead_replicas_context.clear() + replica_rank_context.clear() @pytest.fixture @@ -2659,7 +2675,7 @@ def test_max_concurrency_override(self): ) max_ongoing_requests = DEFAULT_MAX_CONCURRENCY_ASYNC + 1 d_info, _ = deployment_info(max_ongoing_requests=max_ongoing_requests) - replica_scheduling_request = actor_replica.start(d_info) + replica_scheduling_request = actor_replica.start(d_info, rank=0) assert ( "max_concurrency" in replica_scheduling_request.actor_options and replica_scheduling_request.actor_options["max_concurrency"] @@ -4981,5 +4997,350 @@ def test_docs_path_not_updated_for_different_version(mock_deployment_state_manag assert ds.docs_path is None +class TestDeploymentRankManagerIntegrationE2E: + """End-to-end integration tests for rank functionality through deployment state manager.""" + + def _set_replicas_ready( + self, ds: DeploymentState, replica_states: List[ReplicaState] + ): + """Helper to set replicas in given states to ready.""" + for replica in ds._replicas.get(replica_states): + replica._actor.set_ready() + + def _set_replicas_done_stopping(self, ds: DeploymentState): + """Helper to set stopping replicas as done stopping.""" + for replica in ds._replicas.get([ReplicaState.STOPPING]): + replica._actor.set_done_stopping() + + def test_scaling_up_and_down_scenario(self, mock_deployment_state_manager): + """Test a realistic scaling scenario through deployment state manager.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Start with 3 replicas + info_1, v1 = deployment_info(num_replicas=3, version="1") + dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + # Create initial replicas + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.STARTING, 3, v1)]) + + # Set replicas ready + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.RUNNING, 3, v1)]) + assert ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Check initial ranks are 0, 1, 2 + ranks_mapping = ds._get_replica_ranks_mapping() + ranks = sorted(ranks_mapping.values()) + assert ranks == [0, 1, 2], f"Expected ranks [0, 1, 2], got {ranks}" + + # Scale down to 2 replicas - this should trigger rank reassignment + info_2, _ = deployment_info(num_replicas=2, version="1") + dsm.deploy(TEST_DEPLOYMENT_ID, info_2) + dsm.update() + + # One replica should be stopping + check_counts( + ds, + total=3, + by_state=[(ReplicaState.RUNNING, 2, v1), (ReplicaState.STOPPING, 1, v1)], + ) + + # Complete the scale down + self._set_replicas_done_stopping(ds) + dsm.update() + check_counts(ds, total=2, by_state=[(ReplicaState.RUNNING, 2, v1)]) + assert ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Trigger rank consistency check with one more update + dsm.update() + + # After scaling down and reaching healthy status, ranks should be contiguous [0, 1] + ranks_mapping = ds._get_replica_ranks_mapping() + ranks = sorted(ranks_mapping.values()) + assert ranks == [0, 1], f"Expected ranks [0, 1] after scale down, got {ranks}" + + # Scale back up to 3 replicas - new replica should reuse available rank + info_3, _ = deployment_info(num_replicas=3, version="1") + dsm.deploy(TEST_DEPLOYMENT_ID, info_3) + dsm.update() + + # Should have one new starting replica + check_counts( + ds, + total=3, + by_state=[(ReplicaState.RUNNING, 2, v1), (ReplicaState.STARTING, 1, v1)], + ) + + # Set new replica ready + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.RUNNING, 3, v1)]) + assert ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Trigger rank consistency check with one more update + dsm.update() + + # Final ranks should be contiguous [0, 1, 2] + ranks_mapping = ds._get_replica_ranks_mapping() + ranks = sorted(ranks_mapping.values()) + assert ranks == [0, 1, 2], f"Expected final ranks [0, 1, 2], got {ranks}" + + def test_controller_recovery_with_scattered_ranks( + self, mock_deployment_state_manager + ): + """Test controller recovery with existing replica ranks through deployment state manager.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy with 3 replicas + info_1, v1 = deployment_info(num_replicas=3, version="1") + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + assert target_state_changed + dsm.save_checkpoint() + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + # Create replicas and get them running + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.STARTING, 3, v1)]) + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.RUNNING, 3, v1)]) + + # Get the actual replica objects (not just IDs) + replicas = ds._replicas.get([ReplicaState.RUNNING]) + replica_ids = [replica.replica_id for replica in replicas] + + # Simulate controller crashed! Create a new deployment state manager + # with the existing replica IDs to trigger recovery + new_dsm: DeploymentStateManager = create_dsm( + [replica_id.to_full_id_str() for replica_id in replica_ids] + ) + + # New deployment state should be created and replicas should be RECOVERING + new_ds = new_dsm._deployment_states[TEST_DEPLOYMENT_ID] + check_counts(new_ds, total=3, by_state=[(ReplicaState.RECOVERING, 3, v1)]) + + # Complete recovery - set replicas ready + self._set_replicas_ready(new_ds, [ReplicaState.RECOVERING]) + new_dsm.update() + check_counts(new_ds, total=3, by_state=[(ReplicaState.RUNNING, 3, v1)]) + assert new_ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # At this point ranks should be scattered but all values [0, 1, 2] should be present + ranks_mapping = new_ds._get_replica_ranks_mapping() + ranks = sorted(ranks_mapping.values()) + assert ranks == [0, 1, 2], "Should have recovered scattered ranks" + + # Trigger rank consistency check with one more update - this should reorder if needed + new_dsm.update() + + # After rank consistency check, ranks should still be [0, 1, 2] + final_ranks_mapping = new_ds._get_replica_ranks_mapping() + final_ranks = sorted(final_ranks_mapping.values()) + assert final_ranks == [ + 0, + 1, + 2, + ], f"Expected contiguous ranks [0, 1, 2] after consistency check, got {final_ranks}" + + # Clean up + replica_rank_context.clear() + + def test_complex_reassignment_scenario(self, mock_deployment_state_manager): + """Test complex reassignment with many gaps through deployment state manager.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy with 4 replicas + info_1, v1 = deployment_info(num_replicas=4, version="1") + target_state_changed = dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + assert target_state_changed + dsm.save_checkpoint() + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + # Create replicas and get them running + dsm.update() + check_counts(ds, total=4, by_state=[(ReplicaState.STARTING, 4, v1)]) + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + dsm.update() + check_counts(ds, total=4, by_state=[(ReplicaState.RUNNING, 4, v1)]) + + # Get the actual replica objects + replicas = ds._replicas.get([ReplicaState.RUNNING]) + replica_ids = [replica.replica_id for replica in replicas] + + # Simulate very scattered ranks in global context: 0, 3, 7, 10 + global replica_rank_context + replica_rank_context.clear() + replica_rank_context[replica_ids[0].unique_id] = 0 + replica_rank_context[replica_ids[1].unique_id] = 3 + replica_rank_context[replica_ids[2].unique_id] = 7 + replica_rank_context[replica_ids[3].unique_id] = 10 + + # Simulate controller crashed! Create a new deployment state manager + # with the existing replica IDs to trigger recovery + new_dsm: DeploymentStateManager = create_dsm( + [replica_id.to_full_id_str() for replica_id in replica_ids] + ) + + # New deployment state should be created and replicas should be RECOVERING + new_ds = new_dsm._deployment_states[TEST_DEPLOYMENT_ID] + check_counts(new_ds, total=4, by_state=[(ReplicaState.RECOVERING, 4, v1)]) + + # Complete recovery - set replicas ready + self._set_replicas_ready(new_ds, [ReplicaState.RECOVERING]) + new_dsm.update() + check_counts(new_ds, total=4, by_state=[(ReplicaState.RUNNING, 4, v1)]) + assert new_ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Trigger rank consistency check with one more update + new_dsm.update() + + # After reassignment, ranks should be contiguous [0, 1, 2, 3] + ranks_mapping = new_ds._get_replica_ranks_mapping() + ranks = sorted(ranks_mapping.values()) + assert ranks == [ + 0, + 1, + 2, + 3, + ], f"Expected reassigned ranks [0, 1, 2, 3], got {ranks}" + + def test_rank_consistency_during_version_rollout( + self, mock_deployment_state_manager + ): + """Test that rank consistency is maintained during version rollouts.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Start with 3 replicas of version 1 + info_1, v1 = deployment_info(num_replicas=3, version="1") + dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + # Create and ready initial replicas + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.STARTING, 3, v1)]) + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.RUNNING, 3, v1)]) + assert ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Verify initial ranks are contiguous + ranks_mapping = ds._get_replica_ranks_mapping() + initial_ranks = sorted(ranks_mapping.values()) + assert initial_ranks == [0, 1, 2] + + # Deploy version 2 - this should trigger rolling update + info_2, v2 = deployment_info(num_replicas=3, version="2") + dsm.deploy(TEST_DEPLOYMENT_ID, info_2) + dsm.update() + + # Complete the rolling update step by step + while True: + # Set any new starting replicas ready + starting_replicas = ds._replicas.get([ReplicaState.STARTING]) + if starting_replicas: + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + + # Complete any stopping replicas + stopping_replicas = ds._replicas.get([ReplicaState.STOPPING]) + if stopping_replicas: + self._set_replicas_done_stopping(ds) + + dsm.update() + + # Check if rolling update is complete + running_replicas = ds._replicas.get([ReplicaState.RUNNING]) + if len(running_replicas) == 3 and all( + r.version == v2 for r in running_replicas + ): + break + + # After rolling update is complete, deployment should be healthy + assert ds.curr_status_info.status == DeploymentStatus.HEALTHY + + # Trigger rank consistency check with one more update + dsm.update() + + # After rolling update, verify ranks are still contiguous + final_ranks_mapping = ds._get_replica_ranks_mapping() + final_ranks = sorted(final_ranks_mapping.values()) + assert final_ranks == [ + 0, + 1, + 2, + ], f"Expected contiguous ranks [0, 1, 2] after rollout, got {final_ranks}" + + def test_rank_assignment_with_replica_failures(self, mock_deployment_state_manager): + """Test rank handling when replicas fail during startup.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy with 3 replicas + info_1, v1 = deployment_info(num_replicas=3, version="1") + dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + # Create initial replicas + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.STARTING, 3, v1)]) + + # Make first two replicas ready, but let the third fail + starting_replicas = ds._replicas.get([ReplicaState.STARTING]) + starting_replicas[0]._actor.set_ready() + starting_replicas[1]._actor.set_ready() + starting_replicas[2]._actor.set_failed_to_start() + + dsm.update() + + running_count = ds._replicas.count(states=[ReplicaState.RUNNING]) + stopping_count = ds._replicas.count(states=[ReplicaState.STOPPING]) + assert running_count == 2, "Should have 2 running replicas" + assert stopping_count == 1, "Should have 1 stopping replica" + + self._set_replicas_done_stopping(ds) + dsm.update() + + starting_count = ds._replicas.count(states=[ReplicaState.STARTING]) + assert starting_count == 1, "Should have 1 starting replica" + + self._set_replicas_ready(ds, [ReplicaState.STARTING]) + + dsm.update() + # second update to reassign ranks + dsm.update() + + # Final verification - should have 3 running replicas (ignore failed/stopping replicas) + running_replicas = ds._replicas.get([ReplicaState.RUNNING]) + assert ( + len(running_replicas) == 3 + ), f"Expected 3 running replicas, got {len(running_replicas)}" + + # Verify that ranks are properly assigned and unique for running replicas + ranks_mapping = ds._get_replica_ranks_mapping() + + # Filter ranks to only include those for running replicas + running_replica_ids = [ + replica.replica_id.unique_id for replica in running_replicas + ] + running_replica_ranks = [ + ranks_mapping[replica_id] + for replica_id in running_replica_ids + if replica_id in ranks_mapping + ] + + # The ranks should be assigned to all running replicas + assert set(running_replica_ranks) == { + 0, + 1, + 2, + }, f"Expected ranks [0, 1, 2], got {ranks_mapping.values()}" + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From 70a5f92ceb2767b3b3fe5fa8af0f4dda917fb03c Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 10 Sep 2025 13:02:15 -0700 Subject: [PATCH 1151/1566] [Data] Remove filesystem variants from JSON, NumPy, and Delta tests (#56377) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Many our format-specific tests include variants for different PyArrow filesystems, but this is unnecessary. Assuming the PyArrow filesystem abstraction works correctly, the underlying filesystem shouldn’t affect behavior. Also, `FileBasedDatasource` subclasses don’t interact with the filesystem directly—they just receive a stream and define how to deserialize it. So, it’s cleaner and simpler to test filesystem variants at the `FileBasedDatasource` base class level rather than in every subclass, reducing test duplication and complexity. ## Related issue number This PR is a follow up https://github.com/ray-project/ray/pull/56345. ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_delta.py | 14 +- python/ray/data/tests/test_json.py | 306 +++++++--------------------- python/ray/data/tests/test_numpy.py | 19 +- 3 files changed, 76 insertions(+), 263 deletions(-) diff --git a/python/ray/data/tests/test_delta.py b/python/ray/data/tests/test_delta.py index c00882b1bda9..60851c2f6573 100644 --- a/python/ray/data/tests/test_delta.py +++ b/python/ray/data/tests/test_delta.py @@ -2,23 +2,14 @@ import pyarrow as pa import pytest -from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.data import Schema -from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa from ray.data.tests.mock_http_server import * # noqa from ray.tests.conftest import * # noqa -@pytest.mark.parametrize( - "data_path", - [ - lazy_fixture("local_path"), - lazy_fixture("s3_path"), - ], -) @pytest.mark.parametrize( "batch_size", [1, 100], @@ -27,13 +18,12 @@ "write_mode", ["append", "overwrite"], ) -def test_delta_read_basic(data_path, batch_size, write_mode): +def test_delta_read_basic(tmp_path, batch_size, write_mode): import pandas as pd from deltalake import write_deltalake # Parse the data path. - setup_data_path = _unwrap_protocol(data_path) - path = os.path.join(setup_data_path, "tmp_test_delta") + path = os.path.join(tmp_path, "tmp_test_delta") # Create a sample Delta Lake table df = pd.DataFrame( diff --git a/python/ray/data/tests/test_json.py b/python/ray/data/tests/test_json.py index a7336f04ce51..a10dc93658b1 100644 --- a/python/ray/data/tests/test_json.py +++ b/python/ray/data/tests/test_json.py @@ -8,7 +8,6 @@ import pyarrow.fs as fs import pyarrow.json as pajson import pytest -from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.data import Schema @@ -23,7 +22,6 @@ from ray.data.datasource.file_based_datasource import ( FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD, ) -from ray.data.datasource.path_util import _unwrap_protocol from ray.data.tests.conftest import * # noqa from ray.tests.conftest import * # noqa @@ -31,42 +29,26 @@ pytestmark = pytest.mark.timeout(360) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - target_max_block_size_infinite_or_default, + ray_start_regular_shared, target_max_block_size_infinite_or_default, tmp_path ): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) # Single file. df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json(path1, filesystem=fs) + path1 = os.path.join(tmp_path, "test1.json") + df1.to_json(path1, orient="records", lines=True) + ds = ray.data.read_json(path1) dsdf = ds.to_pandas() assert df1.equals(dsdf) # Test metadata ops. assert ds.count() == 3 - assert ds.input_files() == [_unwrap_protocol(path1)] + assert ds.input_files() == [path1] assert ds.schema() == Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])) # Two files, override_num_blocks=2. df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - path2 = os.path.join(data_path, "test2.json") - df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json([path1, path2], override_num_blocks=2, filesystem=fs) + path2 = os.path.join(tmp_path, "test2.json") + df2.to_json(path2, orient="records", lines=True) + ds = ray.data.read_json([path1, path2], override_num_blocks=2) dsdf = ds.to_pandas() df = pd.concat([df1, df2], ignore_index=True) assert df.equals(dsdf) @@ -76,102 +58,74 @@ def test_json_read( # Three files, override_num_blocks=2. df3 = pd.DataFrame({"one": [7, 8, 9], "two": ["h", "i", "j"]}) - path3 = os.path.join(data_path, "test3.json") - df3.to_json(path3, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json([path1, path2, path3], override_num_blocks=2, filesystem=fs) + path3 = os.path.join(tmp_path, "test3.json") + df3.to_json(path3, orient="records", lines=True) + ds = ray.data.read_json([path1, path2, path3], override_num_blocks=2) df = pd.concat([df1, df2, df3], ignore_index=True) dsdf = ds.to_pandas() assert df.equals(dsdf) # Directory, two files. - path = os.path.join(data_path, "test_json_dir") - if fs is None: - os.mkdir(path) - else: - fs.create_dir(_unwrap_protocol(path)) + path = os.path.join(tmp_path, "test_json_dir") + os.mkdir(path) + df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(path, "data0.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + df1.to_json(path1, orient="records", lines=True) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) path2 = os.path.join(path, "data1.json") - df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json(path, filesystem=fs) + df2.to_json(path2, orient="records", lines=True) + ds = ray.data.read_json(path) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(path) - else: - fs.delete_dir(_unwrap_protocol(path)) + shutil.rmtree(path) # Two directories, three files. - path1 = os.path.join(data_path, "test_json_dir1") - path2 = os.path.join(data_path, "test_json_dir2") - if fs is None: - os.mkdir(path1) - os.mkdir(path2) - else: - fs.create_dir(_unwrap_protocol(path1)) - fs.create_dir(_unwrap_protocol(path2)) + path1 = os.path.join(tmp_path, "test_json_dir1") + path2 = os.path.join(tmp_path, "test_json_dir2") + os.mkdir(path1) + os.mkdir(path2) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) file_path1 = os.path.join(path1, "data0.json") - df1.to_json( - file_path1, orient="records", lines=True, storage_options=storage_options - ) + df1.to_json(file_path1, orient="records", lines=True) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) file_path2 = os.path.join(path2, "data1.json") - df2.to_json( - file_path2, orient="records", lines=True, storage_options=storage_options - ) + df2.to_json(file_path2, orient="records", lines=True) df3 = pd.DataFrame({"one": [7, 8, 9], "two": ["h", "i", "j"]}) file_path3 = os.path.join(path2, "data2.json") - df3.to_json( - file_path3, orient="records", lines=True, storage_options=storage_options - ) - ds = ray.data.read_json([path1, path2], filesystem=fs) + df3.to_json(file_path3, orient="records", lines=True) + ds = ray.data.read_json([path1, path2]) df = pd.concat([df1, df2, df3], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(path1) - shutil.rmtree(path2) - else: - fs.delete_dir(_unwrap_protocol(path1)) - fs.delete_dir(_unwrap_protocol(path2)) + shutil.rmtree(path1) + shutil.rmtree(path2) # Directory and file, two files. - dir_path = os.path.join(data_path, "test_json_dir") - if fs is None: - os.mkdir(dir_path) - else: - fs.create_dir(_unwrap_protocol(dir_path)) + dir_path = os.path.join(tmp_path, "test_json_dir") + os.mkdir(dir_path) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(dir_path, "data0.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + df1.to_json(path1, orient="records", lines=True) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) - path2 = os.path.join(data_path, "data1.json") - df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json([dir_path, path2], filesystem=fs) + path2 = os.path.join(tmp_path, "data1.json") + df2.to_json(path2, orient="records", lines=True) + ds = ray.data.read_json([dir_path, path2]) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(dir_path) - else: - fs.delete_dir(_unwrap_protocol(dir_path)) + shutil.rmtree(dir_path) # Directory, two files and non-json file (test default extension-based filtering). - path = os.path.join(data_path, "test_json_dir") - if fs is None: - os.mkdir(path) - else: - fs.create_dir(_unwrap_protocol(path)) + path = os.path.join(tmp_path, "test_json_dir") + os.mkdir(path) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) path1 = os.path.join(path, "data0.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + df1.to_json(path1, orient="records", lines=True) df2 = pd.DataFrame({"one": [4, 5, 6], "two": ["e", "f", "g"]}) path2 = os.path.join(path, "data1.json") - df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) + df2.to_json(path2, orient="records", lines=True) # Add a file with a non-matching file extension. This file should be ignored. df_txt = pd.DataFrame({"foobar": [1, 2, 3]}) @@ -179,17 +133,13 @@ def test_json_read( os.path.join(path, "foo.txt"), orient="records", lines=True, - storage_options=storage_options, ) - ds = ray.data.read_json(path, filesystem=fs) + ds = ray.data.read_json(path) df = pd.concat([df1, df2], ignore_index=True) dsdf = ds.to_pandas().sort_values(by=["one", "two"]).reset_index(drop=True) assert df.equals(dsdf) - if fs is None: - shutil.rmtree(path) - else: - fs.delete_dir(_unwrap_protocol(path)) + shutil.rmtree(path) def test_zipped_json_read( @@ -254,118 +204,71 @@ def test_read_json_fallback_from_pyarrow_failure( assert ds.take_all() == data -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_meta_provider( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, target_max_block_size_infinite_or_default, ): - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + path1 = os.path.join(tmp_path, "test1.json") + df1.to_json(path1, orient="records", lines=True) ds = ray.data.read_json( path1, - filesystem=fs, meta_provider=FastFileMetadataProvider(), ) # Expect to lazily compute all metadata correctly. assert ds.count() == 3 - assert ds.input_files() == [_unwrap_protocol(path1)] + assert ds.input_files() == [path1] assert ds.schema() == Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])) with pytest.raises(NotImplementedError): ray.data.read_json( path1, - filesystem=fs, meta_provider=BaseFileMetadataProvider(), ) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_with_read_options( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, target_max_block_size_infinite_or_default, ): # Arrow's JSON ReadOptions isn't serializable in pyarrow < 8.0.0, so this test # covers our custom ReadOptions serializer. # TODO(Clark): Remove this test and our custom serializer once we require # pyarrow >= 8.0.0. - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + path1 = os.path.join(tmp_path, "test1.json") + df1.to_json(path1, orient="records", lines=True) ds = ray.data.read_json( path1, - filesystem=fs, read_options=pajson.ReadOptions(use_threads=False, block_size=2**30), ) dsdf = ds.to_pandas() assert df1.equals(dsdf) # Test metadata ops. assert ds.count() == 3 - assert ds.input_files() == [_unwrap_protocol(path1)] + assert ds.input_files() == [path1] assert ds.schema() == Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_with_parse_options( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, target_max_block_size_infinite_or_default, ): # Arrow's JSON ParseOptions isn't serializable in pyarrow < 8.0.0, so this test # covers our custom ParseOptions serializer, similar to ReadOptions in above test. # TODO(chengsu): Remove this test and our custom serializer once we require # pyarrow >= 8.0.0. - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) + path1 = os.path.join(tmp_path, "test1.json") + df1.to_json(path1, orient="records", lines=True) ds = ray.data.read_json( path1, - filesystem=fs, parse_options=pajson.ParseOptions( explicit_schema=pa.schema([("two", pa.string())]), unexpected_field_behavior="ignore", @@ -376,7 +279,7 @@ def test_json_read_with_parse_options( assert (df1["two"]).equals(dsdf["two"]) # Test metadata ops. assert ds.count() == 3 - assert ds.input_files() == [_unwrap_protocol(path1)] + assert ds.input_files() == [path1] assert ds.schema() == Schema(pa.schema([("two", pa.string())])) @@ -469,62 +372,31 @@ def test_json_roundtrip( assert BlockAccessor.for_block(ray.get(block)).size_bytes() == meta.size_bytes -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_small_file_unit_block_size( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, target_max_block_size_infinite_or_default, ): """Test reading a small JSON file with unit block_size.""" - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path1 = os.path.join(data_path, "test1.json") - df1.to_json(path1, orient="records", lines=True, storage_options=storage_options) - ds = ray.data.read_json( - path1, filesystem=fs, read_options=pajson.ReadOptions(block_size=1) - ) + path1 = os.path.join(tmp_path, "test1.json") + df1.to_json(path1, orient="records", lines=True) + ds = ray.data.read_json(path1, read_options=pajson.ReadOptions(block_size=1)) dsdf = ds.to_pandas() assert df1.equals(dsdf) # Test metadata ops. assert ds.count() == 3 - assert ds.input_files() == [_unwrap_protocol(path1)] + assert ds.input_files() == [path1] assert ds.schema() == Schema(pa.schema([("one", pa.int64()), ("two", pa.string())])) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_file_larger_than_block_size( ray_start_regular_shared, - fs, - data_path, - endpoint_url, + tmp_path, target_max_block_size_infinite_or_default, ): """Test reading a JSON file larger than the block size.""" - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) - block_size = 1024 num_chars = 2500 num_rows = 3 @@ -534,84 +406,48 @@ def test_json_read_file_larger_than_block_size( "two": ["b" * num_chars for _ in range(num_rows)], } ) - path2 = os.path.join(data_path, "test2.json") - df2.to_json(path2, orient="records", lines=True, storage_options=storage_options) + path2 = os.path.join(tmp_path, "test2.json") + df2.to_json(path2, orient="records", lines=True) ds = ray.data.read_json( - path2, filesystem=fs, read_options=pajson.ReadOptions(block_size=block_size) + path2, read_options=pajson.ReadOptions(block_size=block_size) ) dsdf = ds.to_pandas() assert df2.equals(dsdf) # Test metadata ops. assert ds.count() == num_rows - assert ds.input_files() == [_unwrap_protocol(path2)] + assert ds.input_files() == [path2] assert ds.schema() == Schema( pa.schema([("one", pa.string()), ("two", pa.string())]) ) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_negative_block_size_fallback( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - target_max_block_size_infinite_or_default, + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): """Test reading JSON with negative block_size triggers fallback to json.load().""" - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) df3 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path3 = os.path.join(data_path, "test3.json") - df3.to_json(path3, orient="records", lines=True, storage_options=storage_options) + path3 = os.path.join(tmp_path, "test3.json") + df3.to_json(path3, orient="records", lines=True) # Negative Buffer Size, fails with arrow but succeeds in fallback to json.load() - ds = ray.data.read_json( - path3, filesystem=fs, read_options=pajson.ReadOptions(block_size=-1) - ) + ds = ray.data.read_json(path3, read_options=pajson.ReadOptions(block_size=-1)) dsdf = ds.to_pandas() assert df3.equals(dsdf) -@pytest.mark.parametrize( - "fs,data_path,endpoint_url", - [ - (None, lazy_fixture("local_path"), None), - (lazy_fixture("local_fs"), lazy_fixture("local_path"), None), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path"), lazy_fixture("s3_server")), - ], -) def test_json_read_zero_block_size_failure( - ray_start_regular_shared, - fs, - data_path, - endpoint_url, - target_max_block_size_infinite_or_default, + ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): """Test reading JSON with zero block_size fails in both arrow and fallback.""" - if endpoint_url is None: - storage_options = {} - else: - storage_options = dict(client_kwargs=dict(endpoint_url=endpoint_url)) df3 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]}) - path3 = os.path.join(data_path, "test3.json") - df3.to_json(path3, orient="records", lines=True, storage_options=storage_options) + path3 = os.path.join(tmp_path, "test3.json") + df3.to_json(path3, orient="records", lines=True) # Zero Buffer Size, fails with arrow and fails in fallback to json.load() with pytest.raises(json.decoder.JSONDecodeError, match="Extra data"): - ds = ray.data.read_json( - path3, filesystem=fs, read_options=pajson.ReadOptions(block_size=0) - ) + ds = ray.data.read_json(path3, read_options=pajson.ReadOptions(block_size=0)) dsdf = ds.to_pandas() assert dsdf.equals(df3) diff --git a/python/ray/data/tests/test_numpy.py b/python/ray/data/tests/test_numpy.py index ee03ddb4315b..fa6a26fd404a 100644 --- a/python/ray/data/tests/test_numpy.py +++ b/python/ray/data/tests/test_numpy.py @@ -4,7 +4,6 @@ import pandas as pd import pyarrow as pa import pytest -from pytest_lazy_fixtures import lf as lazy_fixture import ray from ray.air.util.tensor_extensions.arrow import ArrowTensorTypeV2 @@ -94,24 +93,12 @@ def test_to_numpy_refs(ray_start_regular_shared): ) -@pytest.mark.parametrize( - "fs,data_path", - [ - (None, lazy_fixture("local_path")), - (lazy_fixture("local_fs"), lazy_fixture("local_path")), - (lazy_fixture("s3_fs"), lazy_fixture("s3_path")), - ( - lazy_fixture("s3_fs_with_anonymous_crendential"), - lazy_fixture("s3_path_with_anonymous_crendential"), - ), - ], -) -def test_numpy_roundtrip(ray_start_regular_shared, fs, data_path): +def test_numpy_roundtrip(ray_start_regular_shared, tmp_path): tensor_type = _get_tensor_type() ds = ray.data.range_tensor(10, override_num_blocks=2) - ds.write_numpy(data_path, filesystem=fs, column="data") - ds = ray.data.read_numpy(data_path, filesystem=fs) + ds.write_numpy(tmp_path, column="data") + ds = ray.data.read_numpy(tmp_path) assert ds.count() == 10 assert ds.schema() == Schema(pa.schema([("data", tensor_type((1,), pa.int64()))])) assert sorted(ds.take_all(), key=lambda row: row["data"]) == [ From ea9c3dd4259cc78930f10b9f8fb497bf66ac4889 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 10 Sep 2025 13:02:21 -0700 Subject: [PATCH 1152/1566] [Data] Add `average_num_inputs_per_task` and `num_output_blocks_per_task_s` metrics (#56379) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? This PR adds two task-level metrics for better visibility into operator performance: * `average_num_inputs_per_task` – average input blocks per task. * `num_output_blocks_per_task_s` – average output blocks per task per second. Both return `None` if no tasks have finished or no output exists, avoiding misleading values. These metrics can be used to help making scheduling decisions. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../interfaces/op_runtime_metrics.py | 25 +++++++++++++++++++ python/ray/data/tests/test_stats.py | 10 ++++++++ 2 files changed, 35 insertions(+) diff --git a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py index a7066a979f15..eeffc116216c 100644 --- a/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py +++ b/python/ray/data/_internal/execution/interfaces/op_runtime_metrics.py @@ -522,6 +522,31 @@ def average_num_outputs_per_task(self) -> Optional[float]: else: return self.num_outputs_of_finished_tasks / self.num_tasks_finished + @metric_property( + description="Average number of blocks generated per task.", + metrics_group=MetricsGroup.INPUTS, + ) + def average_num_inputs_per_task(self) -> Optional[float]: + """Average number of input blocks per task, or None if no task has finished.""" + if self.num_tasks_finished == 0: + return None + else: + return self.num_task_inputs_processed / self.num_tasks_finished + + @metric_property( + description="Average number of output blocks per task per second.", + metrics_group=MetricsGroup.OUTPUTS, + ) + def num_output_blocks_per_task_s(self) -> Optional[float]: + """Average number of output blocks per task per second. + + If the operator hasn't produced any output yet, this metric returns `None`. + """ + if self.block_generation_time == 0: + return None + else: + return self.num_task_outputs_generated / self.block_generation_time + @metric_property( description="Average size of task output in bytes.", metrics_group=MetricsGroup.OUTPUTS, diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 4d7a5660a86c..07cb5c359fd2 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -75,6 +75,8 @@ def gen_expected_metrics( if is_map: metrics = [ "'average_num_outputs_per_task': N", + "'average_num_inputs_per_task': N", + "'num_output_blocks_per_task_s': N", "'average_bytes_per_output': N", "'obj_store_mem_internal_inqueue': Z", "'obj_store_mem_internal_outqueue': Z", @@ -136,6 +138,8 @@ def gen_expected_metrics( else: metrics = [ "'average_num_outputs_per_task': None", + "'average_num_inputs_per_task': None", + "'num_output_blocks_per_task_s': None", "'average_bytes_per_output': None", "'obj_store_mem_internal_inqueue': Z", "'obj_store_mem_internal_outqueue': Z", @@ -678,6 +682,8 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " number=N,\n" " extra_metrics={\n" " average_num_outputs_per_task: N,\n" + " average_num_inputs_per_task: N,\n" + " num_output_blocks_per_task_s: N,\n" " average_bytes_per_output: N,\n" " obj_store_mem_internal_inqueue: Z,\n" " obj_store_mem_internal_outqueue: Z,\n" @@ -808,6 +814,8 @@ def check_stats(): " number=N,\n" " extra_metrics={\n" " average_num_outputs_per_task: N,\n" + " average_num_inputs_per_task: N,\n" + " num_output_blocks_per_task_s: N,\n" " average_bytes_per_output: N,\n" " obj_store_mem_internal_inqueue: Z,\n" " obj_store_mem_internal_outqueue: Z,\n" @@ -893,6 +901,8 @@ def check_stats(): " number=N,\n" " extra_metrics={\n" " average_num_outputs_per_task: N,\n" + " average_num_inputs_per_task: N,\n" + " num_output_blocks_per_task_s: N,\n" " average_bytes_per_output: N,\n" " obj_store_mem_internal_inqueue: Z,\n" " obj_store_mem_internal_outqueue: Z,\n" From 0efba2f98695273a5c2c6ca0fc9cb1e7bc3b543e Mon Sep 17 00:00:00 2001 From: Vaishnavi Panchavati <38342947+vaishdho1@users.noreply.github.com> Date: Wed, 10 Sep 2025 13:07:10 -0700 Subject: [PATCH 1153/1566] [core] Migrate ray_logging from _private to _common[#53478] (#56368) Signed-off-by: Vaishnavi Panchavati Signed-off-by: Douglas Strodtman --- .../ray_logging => _common}/filters.py | 0 .../ray_logging => _common}/formatters.py | 0 python/ray/_common/tests/BUILD.bazel | 3 + python/ray/_common/tests/conftest.py | 2 + python/ray/_common/tests/test_filters.py | 106 ++++++++ python/ray/_common/tests/test_formatters.py | 162 ++++++++++++ .../_private/ray_logging/logging_config.py | 4 +- .../dashboard/modules/job/job_supervisor.py | 4 +- python/ray/data/_internal/logging.py | 6 +- .../batch/observability/logging/__init__.py | 2 +- .../batch/observability/logging/setup.py | 4 +- .../common/observability/logging/__init__.py | 2 +- .../serve/observability/logging/__init__.py | 2 +- .../serve/observability/logging/setup.py | 4 +- python/ray/serve/_private/logging_utils.py | 4 +- python/ray/serve/_private/proxy.py | 2 +- python/ray/serve/_private/replica.py | 2 +- python/ray/serve/tests/test_logging.py | 2 +- python/ray/tests/test_logging_2.py | 249 ------------------ .../ray/train/v2/_internal/logging/logging.py | 4 +- 20 files changed, 293 insertions(+), 271 deletions(-) rename python/ray/{_private/ray_logging => _common}/filters.py (100%) rename python/ray/{_private/ray_logging => _common}/formatters.py (100%) create mode 100644 python/ray/_common/tests/conftest.py create mode 100644 python/ray/_common/tests/test_filters.py create mode 100644 python/ray/_common/tests/test_formatters.py diff --git a/python/ray/_private/ray_logging/filters.py b/python/ray/_common/filters.py similarity index 100% rename from python/ray/_private/ray_logging/filters.py rename to python/ray/_common/filters.py diff --git a/python/ray/_private/ray_logging/formatters.py b/python/ray/_common/formatters.py similarity index 100% rename from python/ray/_private/ray_logging/formatters.py rename to python/ray/_common/formatters.py diff --git a/python/ray/_common/tests/BUILD.bazel b/python/ray/_common/tests/BUILD.bazel index 1cc36ef348a8..d9aba47b5eb9 100644 --- a/python/ray/_common/tests/BUILD.bazel +++ b/python/ray/_common/tests/BUILD.bazel @@ -15,6 +15,8 @@ py_test_module_list( size = "small", files = [ "test_deprecation.py", + "test_filters.py", + "test_formatters.py", "test_network_utils.py", "test_ray_option_utils.py", "test_signal_semaphore_utils.py", @@ -27,6 +29,7 @@ py_test_module_list( "team:core", ], deps = [ + ":conftest", "//:ray_lib", ], ) diff --git a/python/ray/_common/tests/conftest.py b/python/ray/_common/tests/conftest.py new file mode 100644 index 000000000000..07810c3694dc --- /dev/null +++ b/python/ray/_common/tests/conftest.py @@ -0,0 +1,2 @@ +# Imports for filters and formatters tests +pytest_plugins = ["ray.tests.conftest"] diff --git a/python/ray/_common/tests/test_filters.py b/python/ray/_common/tests/test_filters.py new file mode 100644 index 000000000000..330cc69a1696 --- /dev/null +++ b/python/ray/_common/tests/test_filters.py @@ -0,0 +1,106 @@ +import logging +import logging.config +import sys + +import pytest + +import ray +from ray._common.filters import CoreContextFilter + + +class TestCoreContextFilter: + def test_driver_process(self, shutdown_only): + log_context = ["job_id", "worker_id", "node_id"] + filter = CoreContextFilter() + record = logging.makeLogRecord({}) + assert filter.filter(record) + # Ray is not initialized so no context except PID which should be available + for attr in log_context: + assert not hasattr(record, attr) + # PID should be available even when Ray is not initialized + assert hasattr(record, "process") + assert hasattr(record, "_ray_timestamp_ns") + + ray.init() + record = logging.makeLogRecord({}) + assert filter.filter(record) + runtime_context = ray.get_runtime_context() + expected_values = { + "job_id": runtime_context.get_job_id(), + "worker_id": runtime_context.get_worker_id(), + "node_id": runtime_context.get_node_id(), + "process": record.process, + } + for attr in log_context: + assert hasattr(record, attr) + assert getattr(record, attr) == expected_values[attr] + # This is not a worker process, so actor_id and task_id should not exist. + for attr in ["actor_id", "task_id"]: + assert not hasattr(record, attr) + assert hasattr(record, "_ray_timestamp_ns") + + def test_task_process(self, shutdown_only): + @ray.remote + def f(): + filter = CoreContextFilter() + record = logging.makeLogRecord({}) + assert filter.filter(record) + should_exist = ["job_id", "worker_id", "node_id", "task_id", "process"] + runtime_context = ray.get_runtime_context() + expected_values = { + "job_id": runtime_context.get_job_id(), + "worker_id": runtime_context.get_worker_id(), + "node_id": runtime_context.get_node_id(), + "task_id": runtime_context.get_task_id(), + "task_name": runtime_context.get_task_name(), + "task_func_name": runtime_context.get_task_function_name(), + "process": record.process, + } + for attr in should_exist: + assert hasattr(record, attr) + assert getattr(record, attr) == expected_values[attr] + assert not hasattr(record, "actor_id") + assert not hasattr(record, "actor_name") + assert hasattr(record, "_ray_timestamp_ns") + + obj_ref = f.remote() + ray.get(obj_ref) + + def test_actor_process(self, shutdown_only): + @ray.remote + class A: + def f(self): + filter = CoreContextFilter() + record = logging.makeLogRecord({}) + assert filter.filter(record) + should_exist = [ + "job_id", + "worker_id", + "node_id", + "actor_id", + "task_id", + "process", + ] + runtime_context = ray.get_runtime_context() + expected_values = { + "job_id": runtime_context.get_job_id(), + "worker_id": runtime_context.get_worker_id(), + "node_id": runtime_context.get_node_id(), + "actor_id": runtime_context.get_actor_id(), + "actor_name": runtime_context.get_actor_name(), + "task_id": runtime_context.get_task_id(), + "task_name": runtime_context.get_task_name(), + "task_func_name": runtime_context.get_task_function_name(), + "process": record.process, + } + for attr in should_exist: + assert hasattr(record, attr) + assert getattr(record, attr) == expected_values[attr] + assert hasattr(record, "_ray_timestamp_ns") + + actor = A.remote() + ray.get(actor.f.remote()) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/_common/tests/test_formatters.py b/python/ray/_common/tests/test_formatters.py new file mode 100644 index 000000000000..f81dcdffe84d --- /dev/null +++ b/python/ray/_common/tests/test_formatters.py @@ -0,0 +1,162 @@ +import json +import logging +import logging.config +import sys + +import pytest + +from ray._common.formatters import JSONFormatter, TextFormatter + + +class TestJSONFormatter: + def test_empty_record(self, shutdown_only): + formatter = JSONFormatter() + record = logging.makeLogRecord({}) + formatted = formatter.format(record) + + record_dict = json.loads(formatted) + should_exist = [ + "process", + "asctime", + "levelname", + "message", + "filename", + "lineno", + "timestamp_ns", + ] + for key in should_exist: + assert key in record_dict + assert len(record_dict) == len(should_exist) + assert "exc_text" not in record_dict + + def test_record_with_exception(self, shutdown_only): + formatter = JSONFormatter() + record = logging.makeLogRecord({}) + try: + raise ValueError("test") + except ValueError: + record.exc_info = sys.exc_info() + formatted = formatter.format(record) + record_dict = json.loads(formatted) + should_exist = [ + "process", + "asctime", + "levelname", + "message", + "filename", + "lineno", + "exc_text", + "timestamp_ns", + ] + for key in should_exist: + assert key in record_dict + assert "Traceback (most recent call last):" in record_dict["exc_text"] + assert len(record_dict) == len(should_exist) + + def test_record_with_user_provided_context(self, shutdown_only): + formatter = JSONFormatter() + record = logging.makeLogRecord({"user": "ray"}) + formatted = formatter.format(record) + record_dict = json.loads(formatted) + should_exist = [ + "process", + "asctime", + "levelname", + "message", + "filename", + "lineno", + "user", + "timestamp_ns", + ] + for key in should_exist: + assert key in record_dict + assert record_dict["user"] == "ray" + assert len(record_dict) == len(should_exist) + assert "exc_text" not in record_dict + + def test_record_with_flatten_keys_invalid_value(self, shutdown_only): + formatter = JSONFormatter() + record = logging.makeLogRecord({"ray_serve_extra_fields": "not_a_dict"}) + with pytest.raises(ValueError): + formatter.format(record) + + def test_record_with_flatten_keys_valid_dict(self, shutdown_only): + formatter = JSONFormatter() + record = logging.makeLogRecord( + {"ray_serve_extra_fields": {"key1": "value1", "key2": 2}} + ) + formatted = formatter.format(record) + record_dict = json.loads(formatted) + should_exist = [ + "process", + "asctime", + "levelname", + "message", + "filename", + "lineno", + "key1", + "key2", + "timestamp_ns", + ] + for key in should_exist: + assert key in record_dict + assert record_dict["key1"] == "value1", record_dict + assert record_dict["key2"] == 2 + assert "ray_serve_extra_fields" not in record_dict + assert len(record_dict) == len(should_exist) + assert "exc_text" not in record_dict + + def test_record_with_valid_additional_log_standard_attrs(self, shutdown_only): + formatter = JSONFormatter() + formatter.set_additional_log_standard_attrs(["name"]) + record = logging.makeLogRecord({}) + formatted = formatter.format(record) + + record_dict = json.loads(formatted) + should_exist = [ + "process", + "asctime", + "levelname", + "message", + "filename", + "lineno", + "timestamp_ns", + "name", + ] + for key in should_exist: + assert key in record_dict + assert len(record_dict) == len(should_exist) + + +class TestTextFormatter: + def test_record_with_user_provided_context(self): + formatter = TextFormatter() + record = logging.makeLogRecord({"user": "ray"}) + formatted = formatter.format(record) + assert "user=ray" in formatted + + def test_record_with_exception(self): + formatter = TextFormatter() + record = logging.LogRecord( + name="test_logger", + level=logging.INFO, + pathname="test.py", + lineno=1000, + msg="Test message", + args=None, + exc_info=None, + ) + formatted = formatter.format(record) + for s in ["INFO", "Test message", "test.py:1000", "--"]: + assert s in formatted + + def test_record_with_valid_additional_log_standard_attrs(self, shutdown_only): + formatter = TextFormatter() + formatter.set_additional_log_standard_attrs(["name"]) + record = logging.makeLogRecord({}) + formatted = formatter.format(record) + assert "name=" in formatted + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/_private/ray_logging/logging_config.py b/python/ray/_private/ray_logging/logging_config.py index 843935d6b415..67453163a027 100644 --- a/python/ray/_private/ray_logging/logging_config.py +++ b/python/ray/_private/ray_logging/logging_config.py @@ -3,10 +3,10 @@ from dataclasses import dataclass, field from typing import Set +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter, TextFormatter from ray._private.ray_logging import default_impl from ray._private.ray_logging.constants import LOGRECORD_STANDARD_ATTRS -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray.util.annotations import PublicAPI diff --git a/python/ray/dashboard/modules/job/job_supervisor.py b/python/ray/dashboard/modules/job/job_supervisor.py index 846fc19eefd6..60766ee93935 100644 --- a/python/ray/dashboard/modules/job/job_supervisor.py +++ b/python/ray/dashboard/modules/job/job_supervisor.py @@ -11,10 +11,10 @@ import ray import ray._private.ray_constants as ray_constants +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter, TextFormatter from ray._common.network_utils import build_address from ray._private.accelerators.nvidia_gpu import NOSET_CUDA_VISIBLE_DEVICES_ENV_VAR -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray._private.runtime_env.constants import RAY_JOB_CONFIG_JSON_ENV_VAR from ray._private.utils import remove_ray_internal_flags_from_env from ray._raylet import GcsClient diff --git a/python/ray/data/_internal/logging.py b/python/ray/data/_internal/logging.py index 0184ac58e5d6..9c3b5abc0301 100644 --- a/python/ray/data/_internal/logging.py +++ b/python/ray/data/_internal/logging.py @@ -10,7 +10,7 @@ DEFAULT_TEXT_FORMATTER = ( "%(asctime)s\t%(levelname)s %(filename)s:%(lineno)s -- %(message)s" # noqa: E501 ) -DEFAULT_JSON_FORMATTER = ray._private.ray_logging.formatters.JSONFormatter +DEFAULT_JSON_FORMATTER = ray._common.formatters.JSONFormatter DEFAULT_CONFIG = { "version": 1, "disable_existing_loggers": False, @@ -22,9 +22,7 @@ }, "filters": { "console_filter": {"()": "ray.data._internal.logging.HiddenRecordFilter"}, - "core_context_filter": { - "()": "ray._private.ray_logging.filters.CoreContextFilter" - }, + "core_context_filter": {"()": "ray._common.filters.CoreContextFilter"}, }, "handlers": { "file": { diff --git a/python/ray/llm/_internal/batch/observability/logging/__init__.py b/python/ray/llm/_internal/batch/observability/logging/__init__.py index 4a81025a613c..04cd4d26101f 100644 --- a/python/ray/llm/_internal/batch/observability/logging/__init__.py +++ b/python/ray/llm/_internal/batch/observability/logging/__init__.py @@ -1,7 +1,7 @@ import logging from typing import Optional -from ray._private.ray_logging.filters import CoreContextFilter +from ray._common.filters import CoreContextFilter def _setup_logger(logger_name: str): diff --git a/python/ray/llm/_internal/batch/observability/logging/setup.py b/python/ray/llm/_internal/batch/observability/logging/setup.py index 0c547e4a6305..75edff664939 100644 --- a/python/ray/llm/_internal/batch/observability/logging/setup.py +++ b/python/ray/llm/_internal/batch/observability/logging/setup.py @@ -1,7 +1,7 @@ import logging -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter def _configure_stdlib_logging(): diff --git a/python/ray/llm/_internal/common/observability/logging/__init__.py b/python/ray/llm/_internal/common/observability/logging/__init__.py index cc1e3ce04cfd..789ae4e09e9c 100644 --- a/python/ray/llm/_internal/common/observability/logging/__init__.py +++ b/python/ray/llm/_internal/common/observability/logging/__init__.py @@ -1,7 +1,7 @@ import logging from typing import Optional -from ray._private.ray_logging.filters import CoreContextFilter +from ray._common.filters import CoreContextFilter def _setup_logger(logger_name: str): diff --git a/python/ray/llm/_internal/serve/observability/logging/__init__.py b/python/ray/llm/_internal/serve/observability/logging/__init__.py index 6e684874f33e..914e2a8dce9f 100644 --- a/python/ray/llm/_internal/serve/observability/logging/__init__.py +++ b/python/ray/llm/_internal/serve/observability/logging/__init__.py @@ -1,7 +1,7 @@ import logging from typing import Optional -from ray._private.ray_logging.filters import CoreContextFilter +from ray._common.filters import CoreContextFilter from ray.serve._private.logging_utils import ServeContextFilter diff --git a/python/ray/llm/_internal/serve/observability/logging/setup.py b/python/ray/llm/_internal/serve/observability/logging/setup.py index b57f7e149484..3b1915fd2ac6 100644 --- a/python/ray/llm/_internal/serve/observability/logging/setup.py +++ b/python/ray/llm/_internal/serve/observability/logging/setup.py @@ -1,7 +1,7 @@ import logging -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter from ray.serve._private.logging_utils import ServeContextFilter diff --git a/python/ray/serve/_private/logging_utils.py b/python/ray/serve/_private/logging_utils.py index 1e44c059d583..521b675610a2 100644 --- a/python/ray/serve/_private/logging_utils.py +++ b/python/ray/serve/_private/logging_utils.py @@ -6,9 +6,9 @@ from typing import Any, Optional import ray +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter, TextFormatter from ray._common.ray_constants import LOGGING_ROTATE_BACKUP_COUNT, LOGGING_ROTATE_BYTES -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray.serve._private.common import ServeComponentType from ray.serve._private.constants import ( RAY_SERVE_ENABLE_JSON_LOGGING, diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index c9d65fe4afbf..767c16ba6d50 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -15,8 +15,8 @@ from starlette.types import Receive import ray +from ray._common.filters import CoreContextFilter from ray._common.utils import get_or_create_event_loop -from ray._private.ray_logging.filters import CoreContextFilter from ray.serve._private.common import ( DeploymentID, EndpointInfo, diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 4a94a326006a..c8728d973ef3 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -33,8 +33,8 @@ import ray from ray import cloudpickle +from ray._common.filters import CoreContextFilter from ray._common.utils import get_or_create_event_loop -from ray._private.ray_logging.filters import CoreContextFilter from ray.actor import ActorClass, ActorHandle from ray.remote_function import RemoteFunction from ray.serve import metrics diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 179f99c616f3..096bbe610c96 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -22,8 +22,8 @@ import ray import ray.util.state as state_api from ray import serve +from ray._common.formatters import JSONFormatter from ray._common.test_utils import wait_for_condition -from ray._private.ray_logging.formatters import JSONFormatter from ray.serve._private.common import DeploymentID, ReplicaID, ServeComponentType from ray.serve._private.constants import SERVE_LOG_EXTRA_FIELDS, SERVE_LOGGER_NAME from ray.serve._private.logging_utils import ( diff --git a/python/ray/tests/test_logging_2.py b/python/ray/tests/test_logging_2.py index a74f5025125b..86c496c66532 100644 --- a/python/ray/tests/test_logging_2.py +++ b/python/ray/tests/test_logging_2.py @@ -1,261 +1,12 @@ -import json -import logging -import logging.config import sys import pytest import ray -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter, TextFormatter from ray._private.ray_logging.logging_config import LoggingConfig from ray._private.test_utils import run_string_as_driver -class TestCoreContextFilter: - def test_driver_process(self, shutdown_only): - log_context = ["job_id", "worker_id", "node_id"] - filter = CoreContextFilter() - record = logging.makeLogRecord({}) - assert filter.filter(record) - # Ray is not initialized so no context except PID which should be available - for attr in log_context: - assert not hasattr(record, attr) - # PID should be available even when Ray is not initialized - assert hasattr(record, "process") - assert hasattr(record, "_ray_timestamp_ns") - - ray.init() - record = logging.makeLogRecord({}) - assert filter.filter(record) - runtime_context = ray.get_runtime_context() - expected_values = { - "job_id": runtime_context.get_job_id(), - "worker_id": runtime_context.get_worker_id(), - "node_id": runtime_context.get_node_id(), - "process": record.process, - } - for attr in log_context: - assert hasattr(record, attr) - assert getattr(record, attr) == expected_values[attr] - # This is not a worker process, so actor_id and task_id should not exist. - for attr in ["actor_id", "task_id"]: - assert not hasattr(record, attr) - assert hasattr(record, "_ray_timestamp_ns") - - def test_task_process(self, shutdown_only): - @ray.remote - def f(): - filter = CoreContextFilter() - record = logging.makeLogRecord({}) - assert filter.filter(record) - should_exist = ["job_id", "worker_id", "node_id", "task_id", "process"] - runtime_context = ray.get_runtime_context() - expected_values = { - "job_id": runtime_context.get_job_id(), - "worker_id": runtime_context.get_worker_id(), - "node_id": runtime_context.get_node_id(), - "task_id": runtime_context.get_task_id(), - "task_name": runtime_context.get_task_name(), - "task_func_name": runtime_context.get_task_function_name(), - "process": record.process, - } - for attr in should_exist: - assert hasattr(record, attr) - assert getattr(record, attr) == expected_values[attr] - assert not hasattr(record, "actor_id") - assert not hasattr(record, "actor_name") - assert hasattr(record, "_ray_timestamp_ns") - - obj_ref = f.remote() - ray.get(obj_ref) - - def test_actor_process(self, shutdown_only): - @ray.remote - class A: - def f(self): - filter = CoreContextFilter() - record = logging.makeLogRecord({}) - assert filter.filter(record) - should_exist = [ - "job_id", - "worker_id", - "node_id", - "actor_id", - "task_id", - "process", - ] - runtime_context = ray.get_runtime_context() - expected_values = { - "job_id": runtime_context.get_job_id(), - "worker_id": runtime_context.get_worker_id(), - "node_id": runtime_context.get_node_id(), - "actor_id": runtime_context.get_actor_id(), - "actor_name": runtime_context.get_actor_name(), - "task_id": runtime_context.get_task_id(), - "task_name": runtime_context.get_task_name(), - "task_func_name": runtime_context.get_task_function_name(), - "process": record.process, - } - for attr in should_exist: - assert hasattr(record, attr) - assert getattr(record, attr) == expected_values[attr] - assert hasattr(record, "_ray_timestamp_ns") - - actor = A.remote() - ray.get(actor.f.remote()) - - -class TestJSONFormatter: - def test_empty_record(self, shutdown_only): - formatter = JSONFormatter() - record = logging.makeLogRecord({}) - formatted = formatter.format(record) - - record_dict = json.loads(formatted) - should_exist = [ - "process", - "asctime", - "levelname", - "message", - "filename", - "lineno", - "timestamp_ns", - ] - for key in should_exist: - assert key in record_dict - assert len(record_dict) == len(should_exist) - assert "exc_text" not in record_dict - - def test_record_with_exception(self, shutdown_only): - formatter = JSONFormatter() - record = logging.makeLogRecord({}) - try: - raise ValueError("test") - except ValueError: - record.exc_info = sys.exc_info() - formatted = formatter.format(record) - record_dict = json.loads(formatted) - should_exist = [ - "process", - "asctime", - "levelname", - "message", - "filename", - "lineno", - "exc_text", - "timestamp_ns", - ] - for key in should_exist: - assert key in record_dict - assert "Traceback (most recent call last):" in record_dict["exc_text"] - assert len(record_dict) == len(should_exist) - - def test_record_with_user_provided_context(self, shutdown_only): - formatter = JSONFormatter() - record = logging.makeLogRecord({"user": "ray"}) - formatted = formatter.format(record) - record_dict = json.loads(formatted) - should_exist = [ - "process", - "asctime", - "levelname", - "message", - "filename", - "lineno", - "user", - "timestamp_ns", - ] - for key in should_exist: - assert key in record_dict - assert record_dict["user"] == "ray" - assert len(record_dict) == len(should_exist) - assert "exc_text" not in record_dict - - def test_record_with_flatten_keys_invalid_value(self, shutdown_only): - formatter = JSONFormatter() - record = logging.makeLogRecord({"ray_serve_extra_fields": "not_a_dict"}) - with pytest.raises(ValueError): - formatter.format(record) - - def test_record_with_flatten_keys_valid_dict(self, shutdown_only): - formatter = JSONFormatter() - record = logging.makeLogRecord( - {"ray_serve_extra_fields": {"key1": "value1", "key2": 2}} - ) - formatted = formatter.format(record) - record_dict = json.loads(formatted) - should_exist = [ - "process", - "asctime", - "levelname", - "message", - "filename", - "lineno", - "key1", - "key2", - "timestamp_ns", - ] - for key in should_exist: - assert key in record_dict - assert record_dict["key1"] == "value1", record_dict - assert record_dict["key2"] == 2 - assert "ray_serve_extra_fields" not in record_dict - assert len(record_dict) == len(should_exist) - assert "exc_text" not in record_dict - - def test_record_with_valid_additional_log_standard_attrs(self, shutdown_only): - formatter = JSONFormatter() - formatter.set_additional_log_standard_attrs(["name"]) - record = logging.makeLogRecord({}) - formatted = formatter.format(record) - - record_dict = json.loads(formatted) - should_exist = [ - "process", - "asctime", - "levelname", - "message", - "filename", - "lineno", - "timestamp_ns", - "name", - ] - for key in should_exist: - assert key in record_dict - assert len(record_dict) == len(should_exist) - - -class TestTextFormatter: - def test_record_with_user_provided_context(self): - formatter = TextFormatter() - record = logging.makeLogRecord({"user": "ray"}) - formatted = formatter.format(record) - assert "user=ray" in formatted - - def test_record_with_exception(self): - formatter = TextFormatter() - record = logging.LogRecord( - name="test_logger", - level=logging.INFO, - pathname="test.py", - lineno=1000, - msg="Test message", - args=None, - exc_info=None, - ) - formatted = formatter.format(record) - for s in ["INFO", "Test message", "test.py:1000", "--"]: - assert s in formatted - - def test_record_with_valid_additional_log_standard_attrs(self, shutdown_only): - formatter = TextFormatter() - formatter.set_additional_log_standard_attrs(["name"]) - record = logging.makeLogRecord({}) - formatted = formatter.format(record) - assert "name=" in formatted - - def test_invalid_encoding(): with pytest.raises(ValueError): LoggingConfig(encoding="INVALID") diff --git a/python/ray/train/v2/_internal/logging/logging.py b/python/ray/train/v2/_internal/logging/logging.py index 053dd52e63fe..8fb645df3b5e 100644 --- a/python/ray/train/v2/_internal/logging/logging.py +++ b/python/ray/train/v2/_internal/logging/logging.py @@ -4,9 +4,9 @@ from typing import Optional, Union import ray +from ray._common.filters import CoreContextFilter +from ray._common.formatters import JSONFormatter from ray._private.log import PlainRayHandler -from ray._private.ray_logging.filters import CoreContextFilter -from ray._private.ray_logging.formatters import JSONFormatter from ray.train.v2._internal.execution.context import TrainContext, TrainRunContext from ray.train.v2._internal.util import get_module_name From 5799089029e0a769e253589caec19af4b7395c3b Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 10 Sep 2025 16:04:54 -0700 Subject: [PATCH 1154/1566] [core][1eventx/02] job event: add an interface for ray event recorder (#55065) This is part of a series of PRs to support JobEvent in the oneevent framework. The full effort will include adding the JobEvent schema, introducing a generic interface for exporting different types of events to the Event Aggregator, and implementing the necessary integration logic. ---- In this PR, we implement: - A base class for RayEvent. This base class implements common logic for `merging` and `serialize` into an proto object. Its implementation includes DriverJobDefinition and DriverJobExecution. - See DriverJobExecution as an example for what type of merging we want to perform - RayEventRecorder serves as both (i) a buffer of RayEvent, and (ii) grpc client to send these events to the EventAggregator (component of a DashboardAgent) Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 5 + src/ray/observability/BUILD.bazel | 82 ++++++++++++ .../ray_driver_job_definition_event.cc | 67 ++++++++++ .../ray_driver_job_definition_event.h | 38 ++++++ .../ray_driver_job_execution_event.cc | 56 ++++++++ .../ray_driver_job_execution_event.h | 39 ++++++ src/ray/observability/ray_event.h | 81 ++++++++++++ src/ray/observability/ray_event_interface.h | 64 ++++++++++ src/ray/observability/ray_event_recorder.cc | 74 +++++++++++ src/ray/observability/ray_event_recorder.h | 69 ++++++++++ .../ray_event_recorder_interface.h | 40 ++++++ src/ray/observability/tests/BUILD.bazel | 24 ++++ .../ray_driver_job_execution_event_test.cc | 41 ++++++ .../tests/ray_event_recorder_test.cc | 120 ++++++++++++++++++ 14 files changed, 800 insertions(+) create mode 100644 src/ray/observability/ray_driver_job_definition_event.cc create mode 100644 src/ray/observability/ray_driver_job_definition_event.h create mode 100644 src/ray/observability/ray_driver_job_execution_event.cc create mode 100644 src/ray/observability/ray_driver_job_execution_event.h create mode 100644 src/ray/observability/ray_event.h create mode 100644 src/ray/observability/ray_event_interface.h create mode 100644 src/ray/observability/ray_event_recorder.cc create mode 100644 src/ray/observability/ray_event_recorder.h create mode 100644 src/ray/observability/ray_event_recorder_interface.h create mode 100644 src/ray/observability/tests/ray_driver_job_execution_event_test.cc create mode 100644 src/ray/observability/tests/ray_event_recorder_test.cc diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 14a7f9de4d5f..b9c2e7e6b979 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -458,6 +458,11 @@ RAY_CONFIG(bool, task_events_skip_driver_for_test, false) /// Setting the value to 0 disables the task event recording and reporting. RAY_CONFIG(int64_t, task_events_report_interval_ms, 1000) +/// The interval duration for which ray events will be reported to the event aggregator. +/// The reported data should only be used for observability. +/// Setting the value to 0 disables the ray event recording and reporting. +RAY_CONFIG(int64_t, ray_events_report_interval_ms, 1000) + /// The number of tasks tracked in GCS for task state events. Any additional events /// from new tasks will evict events of tasks reported earlier. /// Setting the value to -1 allows for unlimited task events stored in GCS. diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index ebdfb1aacaed..4da0cd2a5c83 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -34,3 +34,85 @@ ray_cc_library( ":metric_interface", ], ) + +ray_cc_library( + name = "ray_event_interface", + hdrs = [ + "ray_event_interface.h", + ], + deps = [ + "//src/ray/protobuf/public:events_base_event_cc_proto", + ], +) + +ray_cc_library( + name = "ray_event", + hdrs = [ + "ray_event.h", + ], + deps = [ + ":ray_event_interface", + "//src/ray/common:grpc_util", + "//src/ray/common:id", + "//src/ray/protobuf:gcs_cc_proto", + "@com_google_absl//absl/time", + ], +) + +ray_cc_library( + name = "ray_driver_job_definition_event", + srcs = [ + "ray_driver_job_definition_event.cc", + ], + hdrs = [ + "ray_driver_job_definition_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_driver_job_definition_event_cc_proto", + ], +) + +ray_cc_library( + name = "ray_driver_job_execution_event", + srcs = [ + "ray_driver_job_execution_event.cc", + ], + hdrs = [ + "ray_driver_job_execution_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_driver_job_execution_event_cc_proto", + ], +) + +ray_cc_library( + name = "ray_event_recorder_interface", + hdrs = [ + "ray_event_recorder_interface.h", + ], + deps = [ + ":ray_event", + ], +) + +ray_cc_library( + name = "ray_event_recorder", + srcs = [ + "ray_event_recorder.cc", + ], + hdrs = [ + "ray_event_recorder.h", + ], + deps = [ + ":ray_event", + ":ray_event_recorder_interface", + "//src/ray/common:asio", + "//src/ray/protobuf:events_event_aggregator_service_cc_proto", + "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/rpc:event_aggregator_client", + "//src/ray/util:logging", + "@com_google_absl//absl/time", + ], +) diff --git a/src/ray/observability/ray_driver_job_definition_event.cc b/src/ray/observability/ray_driver_job_definition_event.cc new file mode 100644 index 000000000000..11bfd03730a5 --- /dev/null +++ b/src/ray/observability/ray_driver_job_definition_event.cc @@ -0,0 +1,67 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_driver_job_definition_event.h" + +namespace ray { +namespace observability { + +RayDriverJobDefinitionEvent::RayDriverJobDefinitionEvent(const rpc::JobTableData &data, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::DRIVER_JOB_DEFINITION_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + data_.set_job_id(data.job_id()); + data_.set_driver_pid(data.driver_pid()); + data_.set_driver_node_id(data.driver_address().node_id()); + data_.set_entrypoint(data.entrypoint()); + data_.mutable_config()->mutable_metadata()->insert(data.config().metadata().begin(), + data.config().metadata().end()); + + auto runtime_env_info = data_.mutable_config()->mutable_runtime_env_info(); + runtime_env_info->set_serialized_runtime_env( + data.config().runtime_env_info().serialized_runtime_env()); + auto runtime_env_uris = runtime_env_info->mutable_uris(); + runtime_env_uris->set_working_dir_uri( + data.config().runtime_env_info().uris().working_dir_uri()); + runtime_env_uris->mutable_py_modules_uris()->CopyFrom( + data.config().runtime_env_info().uris().py_modules_uris()); + auto runtime_env_config = runtime_env_info->mutable_runtime_env_config(); + runtime_env_config->set_setup_timeout_seconds( + data.config().runtime_env_info().runtime_env_config().setup_timeout_seconds()); + runtime_env_config->set_eager_install( + data.config().runtime_env_info().runtime_env_config().eager_install()); + runtime_env_config->mutable_log_files()->CopyFrom( + data.config().runtime_env_info().runtime_env_config().log_files()); +} + +std::string RayDriverJobDefinitionEvent::GetEntityId() const { return data_.job_id(); } + +void RayDriverJobDefinitionEvent::MergeData( + RayEvent &&other) { + RAY_LOG(WARNING) << "Merge should not be called for driver job definition event."; + return; +} + +ray::rpc::events::RayEvent RayDriverJobDefinitionEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_driver_job_definition_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_driver_job_definition_event.h b/src/ray/observability/ray_driver_job_definition_event.h new file mode 100644 index 000000000000..6ff80ba48c54 --- /dev/null +++ b/src/ray/observability/ray_driver_job_definition_event.h @@ -0,0 +1,38 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_driver_job_definition_event.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayDriverJobDefinitionEvent + : public RayEvent { + public: + RayDriverJobDefinitionEvent(const rpc::JobTableData &data, + const std::string &session_name); + + std::string GetEntityId() const override; + + protected: + ray::rpc::events::RayEvent SerializeData() && override; + void MergeData(RayEvent &&other) override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_driver_job_execution_event.cc b/src/ray/observability/ray_driver_job_execution_event.cc new file mode 100644 index 000000000000..fba7b274499a --- /dev/null +++ b/src/ray/observability/ray_driver_job_execution_event.cc @@ -0,0 +1,56 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_driver_job_execution_event.h" + +namespace ray { +namespace observability { + +RayDriverJobExecutionEvent::RayDriverJobExecutionEvent( + const rpc::JobTableData &data, + rpc::events::DriverJobExecutionEvent::State state, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + ray::rpc::events::DriverJobExecutionEvent::StateTimestamp state_timestamp; + state_timestamp.set_state(state); + state_timestamp.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( + absl::ToInt64Nanoseconds(absl::Now() - absl::UnixEpoch()))); + + data_.mutable_states()->Add(std::move(state_timestamp)); + data_.set_job_id(data.job_id()); +} + +std::string RayDriverJobExecutionEvent::GetEntityId() const { return data_.job_id(); } + +void RayDriverJobExecutionEvent::MergeData( + RayEvent &&other) { + auto &&other_event = static_cast(other); + for (auto &state : *other_event.data_.mutable_states()) { + data_.mutable_states()->Add(std::move(state)); + } +} + +ray::rpc::events::RayEvent RayDriverJobExecutionEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_driver_job_execution_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_driver_job_execution_event.h b/src/ray/observability/ray_driver_job_execution_event.h new file mode 100644 index 000000000000..fd3d34ffe078 --- /dev/null +++ b/src/ray/observability/ray_driver_job_execution_event.h @@ -0,0 +1,39 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/grpc_util.h" +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_driver_job_execution_event.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayDriverJobExecutionEvent : public RayEvent { + public: + RayDriverJobExecutionEvent(const rpc::JobTableData &data, + rpc::events::DriverJobExecutionEvent::State state, + const std::string &session_name); + + std::string GetEntityId() const override; + + protected: + ray::rpc::events::RayEvent SerializeData() && override; + void MergeData(RayEvent &&other) override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_event.h b/src/ray/observability/ray_event.h new file mode 100644 index 000000000000..32711740723b --- /dev/null +++ b/src/ray/observability/ray_event.h @@ -0,0 +1,81 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "absl/time/time.h" +#include "ray/common/grpc_util.h" +#include "ray/common/id.h" +#include "ray/observability/ray_event_interface.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" + +namespace ray { +namespace observability { + +// RayEvent is a base class for all Ray events. It is used to serialize the event data +// to a RayEvent proto before sending it to the aggregator. +template +class RayEvent : public RayEventInterface { + public: + void Merge(RayEventInterface &&other) override { + RAY_CHECK_EQ(GetEntityId(), other.GetEntityId()); + RAY_CHECK_EQ(GetEventType(), other.GetEventType()); + MergeData(static_cast &&>(other)); + } + + ray::rpc::events::RayEvent Serialize() && override { + ray::rpc::events::RayEvent event = std::move(*this).SerializeData(); + event.set_event_id(UniqueID::FromRandom().Binary()); + event.set_source_type(source_type_); + event.set_event_type(event_type_); + event.set_severity(severity_); + event.set_message(message_); + event.set_session_name(session_name_); + event.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( + absl::ToInt64Nanoseconds(event_timestamp_ - absl::UnixEpoch()))); + + return event; + } + + ray::rpc::events::RayEvent::EventType GetEventType() const override { + return event_type_; + } + + protected: + RayEvent(ray::rpc::events::RayEvent::SourceType source_type, + ray::rpc::events::RayEvent::EventType event_type, + ray::rpc::events::RayEvent::Severity severity, + const std::string &message, + const std::string &session_name) + : source_type_(source_type), + event_type_(event_type), + severity_(severity), + message_(message), + session_name_(session_name) { + event_timestamp_ = absl::Now(); + } + + T data_; // The nested event message within the RayEvent proto. + absl::Time event_timestamp_; + ray::rpc::events::RayEvent::SourceType source_type_; + ray::rpc::events::RayEvent::EventType event_type_; + ray::rpc::events::RayEvent::Severity severity_; + std::string message_; + std::string session_name_; + virtual void MergeData(RayEvent &&other) = 0; + virtual ray::rpc::events::RayEvent SerializeData() && = 0; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_event_interface.h b/src/ray/observability/ray_event_interface.h new file mode 100644 index 000000000000..fc2a358ef311 --- /dev/null +++ b/src/ray/observability/ray_event_interface.h @@ -0,0 +1,64 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "src/ray/protobuf/public/events_base_event.pb.h" + +namespace ray { +namespace observability { + +class RayEventInterface { + public: + virtual ~RayEventInterface() = default; + + // Entity ID is a concept in Ray Event framework that captures the unique identifier + // of the entity that the event is associated with. For example, the entity ID of + // a task is the pair of task ID and task attempt ID, for a driver job, it is the + // driver job ID. + // + // Entity ID is used for two purposes: + // 1. To associate the execution event with the definition event. + // 2. To merge the individual execution events into a single execution event (single + // data point to a time series). + virtual std::string GetEntityId() const = 0; + + // Merge with another data point to form a time series. Merge is meant as an + // optimization for the data size. + // + // For example, given three events: + // + // 1. event 1: {entity_id: "1", type: "task", state_transitions: [("started", 1000)]} + // 2. event 2: {entity_id: "1", type: "task", state_transitions: [("running", 1001)]} + // 3. event 3: {entity_id: "1", type: "task", state_transitions: [("completed", 1002)]} + // + // The merged event will be: + // + // {entity_id: "1", type: "task", state_transitions: [("started", 1000), ("running", + // 1001), + // ("completed", 1002)]} + // + // This function assumes that the two events have the same type and entity ID. + virtual void Merge(RayEventInterface &&other) = 0; + + // Serialize the event data to a RayEvent proto. + virtual ray::rpc::events::RayEvent Serialize() && = 0; + + virtual ray::rpc::events::RayEvent::EventType GetEventType() const = 0; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_event_recorder.cc b/src/ray/observability/ray_event_recorder.cc new file mode 100644 index 000000000000..0d214a445a87 --- /dev/null +++ b/src/ray/observability/ray_event_recorder.cc @@ -0,0 +1,74 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_event_recorder.h" + +#include "src/ray/protobuf/gcs.pb.h" + +namespace ray { +namespace observability { + +RayEventRecorder::RayEventRecorder(rpc::EventAggregatorClient &event_aggregator_client, + instrumented_io_context &io_service) + : event_aggregator_client_(event_aggregator_client), + periodical_runner_(PeriodicalRunner::Create(io_service)) {} + +void RayEventRecorder::StartExportingEvents() { + absl::MutexLock lock(&mutex_); + RAY_CHECK(!exporting_started_) + << "RayEventRecorder::StartExportingEvents() should be called only once."; + exporting_started_ = true; + periodical_runner_->RunFnPeriodically( + [this]() { ExportEvents(); }, + RayConfig::instance().ray_events_report_interval_ms(), + "RayEventRecorder.ExportEvents"); +} + +void RayEventRecorder::ExportEvents() { + absl::MutexLock lock(&mutex_); + if (buffer_.empty()) { + return; + } + rpc::events::AddEventsRequest request; + rpc::events::RayEventsData ray_event_data; + // TODO(#56391): To further optimize the performance, we can merge multiple + // events with the same resource ID into a single event. + for (auto &event : buffer_) { + rpc::events::RayEvent ray_event = std::move(*event).Serialize(); + *ray_event_data.mutable_events()->Add() = std::move(ray_event); + } + *request.mutable_events_data() = std::move(ray_event_data); + buffer_.clear(); + + event_aggregator_client_.AddEvents( + request, [](Status status, rpc::events::AddEventsReply reply) { + if (!status.ok()) { + // TODO(#56391): Add a metric to track the number of failed events. Also + // add logic for error recovery. + RAY_LOG(ERROR) << "Failed to record ray event: " << status.ToString(); + } + }); +} + +void RayEventRecorder::AddEvents( + std::vector> &&data_list) { + absl::MutexLock lock(&mutex_); + buffer_.reserve(buffer_.size() + data_list.size()); + for (auto &data : data_list) { + buffer_.emplace_back(std::move(data)); + } +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_event_recorder.h b/src/ray/observability/ray_event_recorder.h new file mode 100644 index 000000000000..2650f99378c8 --- /dev/null +++ b/src/ray/observability/ray_event_recorder.h @@ -0,0 +1,69 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "absl/synchronization/mutex.h" +#include "absl/time/time.h" +#include "google/protobuf/timestamp.pb.h" +#include "ray/common/asio/periodical_runner.h" +#include "ray/common/ray_config.h" +#include "ray/observability/ray_event_interface.h" +#include "ray/observability/ray_event_recorder_interface.h" +#include "ray/rpc/event_aggregator_client.h" +#include "ray/util/logging.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" + +namespace ray { +namespace observability { + +// RayEventRecorder is a class for recording different types of Ray +// events (e.g. task events, job events, etc.). Internal buffer is used to store events +// before sending to the event aggregator. Events are converted to RayEvent proto and +// added to the internal buffer. PeriodicalRunner is used to send events to the event +// aggregator periodically. +// +// This class is thread safe. +class RayEventRecorder : public RayEventRecorderInterface { + public: + RayEventRecorder(rpc::EventAggregatorClient &event_aggregator_client, + instrumented_io_context &io_service); + virtual ~RayEventRecorder() = default; + + // Start exporting events to the event aggregator by periodically sending events to + // the event aggregator. This should be called only once. Subsequent calls will be + // ignored. + void StartExportingEvents(); + + // Add a vector of data to the internal buffer. Data in the buffer will be sent to + // the event aggregator periodically. + void AddEvents(std::vector> &&data_list); + + private: + rpc::EventAggregatorClient &event_aggregator_client_; + std::shared_ptr periodical_runner_; + // Lock for thread safety when modifying the buffer. + absl::Mutex mutex_; + // Buffer to store events before sending to the event aggregator. + // TODO(#56391): Add a max size for the buffer and overflow recovery logic. + std::vector> buffer_ ABSL_GUARDED_BY(mutex_); + // Flag to track if exporting has been started + bool exporting_started_ ABSL_GUARDED_BY(mutex_) = false; + // Export events to the event aggregator. This is called periodically by the + // PeriodicalRunner. + void ExportEvents(); +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_event_recorder_interface.h b/src/ray/observability/ray_event_recorder_interface.h new file mode 100644 index 000000000000..f6e80e38eae2 --- /dev/null +++ b/src/ray/observability/ray_event_recorder_interface.h @@ -0,0 +1,40 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +#include "ray/observability/ray_event_interface.h" + +namespace ray { +namespace observability { + +class RayEventRecorderInterface { + public: + virtual ~RayEventRecorderInterface() = default; + + // Start exporting events to the event aggregator by periodically sending events to + // the event aggregator. This should be called only once. Subsequent calls will be + // ignored. + virtual void StartExportingEvents() = 0; + + // Add a vector of data to the internal buffer. Data in the buffer will be sent to + // the event aggregator periodically. + virtual void AddEvents(std::vector> &&data_list) = 0; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/BUILD.bazel b/src/ray/observability/tests/BUILD.bazel index e150e80aab35..db97a32197fa 100644 --- a/src/ray/observability/tests/BUILD.bazel +++ b/src/ray/observability/tests/BUILD.bazel @@ -10,3 +10,27 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "ray_event_recorder_test", + size = "small", + srcs = ["ray_event_recorder_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/observability:ray_driver_job_definition_event", + "//src/ray/observability:ray_driver_job_execution_event", + "//src/ray/observability:ray_event_recorder", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "ray_driver_job_execution_event_test", + size = "small", + srcs = ["ray_driver_job_execution_event_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/observability:ray_driver_job_execution_event", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/observability/tests/ray_driver_job_execution_event_test.cc b/src/ray/observability/tests/ray_driver_job_execution_event_test.cc new file mode 100644 index 000000000000..d6a2b1ad4d4b --- /dev/null +++ b/src/ray/observability/tests/ray_driver_job_execution_event_test.cc @@ -0,0 +1,41 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_driver_job_execution_event.h" + +#include "gtest/gtest.h" + +namespace ray { +namespace observability { + +class RayDriverJobExecutionEventTest : public ::testing::Test {}; + +TEST_F(RayDriverJobExecutionEventTest, TestMerge) { + rpc::JobTableData data; + data.set_job_id("test_job_id_1"); + auto event1 = std::make_unique( + data, rpc::events::DriverJobExecutionEvent::SUCCESS, "test_session_name_1"); + auto event2 = std::make_unique( + data, rpc::events::DriverJobExecutionEvent::FAILURE, "test_session_name_1"); + event1->Merge(std::move(*event2)); + auto serialized_event = std::move(*event1).Serialize(); + ASSERT_EQ(serialized_event.driver_job_execution_event().states_size(), 2); + ASSERT_EQ(serialized_event.driver_job_execution_event().states(0).state(), + rpc::events::DriverJobExecutionEvent::SUCCESS); + ASSERT_EQ(serialized_event.driver_job_execution_event().states(1).state(), + rpc::events::DriverJobExecutionEvent::FAILURE); +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc new file mode 100644 index 000000000000..4f825b3ee95a --- /dev/null +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -0,0 +1,120 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_event_recorder.h" + +#include +#include +#include + +#include "gmock/gmock.h" +#include "gtest/gtest.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/ray_config.h" +#include "ray/observability/ray_driver_job_definition_event.h" +#include "ray/observability/ray_driver_job_execution_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" +#include "src/ray/protobuf/public/events_driver_job_execution_event.pb.h" + +namespace ray { +namespace observability { + +class FakeEventAggregatorClient : public rpc::EventAggregatorClient { + public: + FakeEventAggregatorClient() {} + + void AddEvents( + const rpc::events::AddEventsRequest &request, + const rpc::ClientCallback &callback) override { + absl::MutexLock lock(&mutex_); + for (const auto &event : request.events_data().events()) { + recorded_events_.push_back(event); + } + callback(Status::OK(), rpc::events::AddEventsReply{}); + } + + std::vector GetRecordedEvents() { + absl::MutexLock lock(&mutex_); + return recorded_events_; + } + + private: + std::vector recorded_events_ ABSL_GUARDED_BY(mutex_); + absl::Mutex mutex_; +}; + +class RayEventRecorderTest : public ::testing::Test { + public: + RayEventRecorderTest() { + fake_client_ = std::make_unique(); + recorder_ = std::make_unique(*fake_client_, io_service_); + recorder_->StartExportingEvents(); + } + + instrumented_io_context io_service_; + std::unique_ptr fake_client_; + std::unique_ptr recorder_; +}; + +TEST_F(RayEventRecorderTest, TestRecordEvents) { + rpc::JobTableData data1; + data1.set_job_id("test_job_id_1"); + data1.set_is_dead(false); + data1.set_driver_pid(12345); + data1.set_start_time(absl::ToUnixSeconds(absl::Now())); + data1.set_end_time(0); + data1.set_entrypoint("python test_script.py"); + data1.mutable_driver_address()->set_ip_address("127.0.0.1"); + + rpc::JobTableData data2; + data2.set_job_id("test_job_id_2"); + data2.set_is_dead(true); + data2.set_driver_pid(67890); + data2.set_start_time(absl::ToUnixSeconds(absl::Now()) - 3600); // 1 hour ago + data2.set_end_time(absl::ToUnixSeconds(absl::Now())); + data2.set_entrypoint("python another_script.py"); + data2.mutable_driver_address()->set_ip_address("192.168.1.100"); + + std::vector> events; + events.push_back( + std::make_unique(data1, "test_session_name_1")); + events.push_back(std::make_unique( + data2, rpc::events::DriverJobExecutionEvent::SUCCESS, "test_session_name_2")); + recorder_->AddEvents(std::move(events)); + io_service_.run_one(); + + std::vector recorded_events = fake_client_->GetRecordedEvents(); + // Verify first event + ASSERT_EQ(recorded_events.size(), 2); + ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(recorded_events[0].session_name(), "test_session_name_1"); + ASSERT_EQ(recorded_events[0].event_type(), + rpc::events::RayEvent::DRIVER_JOB_DEFINITION_EVENT); + ASSERT_EQ(recorded_events[0].severity(), rpc::events::RayEvent::INFO); + ASSERT_TRUE(recorded_events[0].has_driver_job_definition_event()); + ASSERT_EQ(recorded_events[0].driver_job_definition_event().job_id(), "test_job_id_1"); + + // Verify second event + ASSERT_EQ(recorded_events[1].source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(recorded_events[1].session_name(), "test_session_name_2"); + ASSERT_EQ(recorded_events[1].event_type(), + rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT); + ASSERT_EQ(recorded_events[1].severity(), rpc::events::RayEvent::INFO); + ASSERT_TRUE(recorded_events[1].has_driver_job_execution_event()); + ASSERT_EQ(recorded_events[1].driver_job_execution_event().job_id(), "test_job_id_2"); +} + +} // namespace observability +} // namespace ray From f36ea9816594ddcbff03dedc96264345295fabc3 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Thu, 11 Sep 2025 04:55:53 +0530 Subject: [PATCH 1155/1566] [core] [actor-event-01] Actor event: add proto schema (#56221) Add proto schema for actor events. This contains all the field and not more from the existing https://github.com/ray-project/ray/blob/master/src/ray/protobuf/export_actor_data.proto. It splits by the static vs dynamic state transition information, similar to other one event schema designs. Test: - CI --------- Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 3 +- src/ray/protobuf/public/BUILD.bazel | 26 +++++++++ .../events_actor_definition_event.proto | 43 +++++++++++++++ .../public/events_actor_lifecycle_event.proto | 54 +++++++++++++++++++ .../protobuf/public/events_base_event.proto | 6 +++ 5 files changed, 131 insertions(+), 1 deletion(-) create mode 100644 src/ray/protobuf/public/events_actor_definition_event.proto create mode 100644 src/ray/protobuf/public/events_actor_lifecycle_event.proto diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 584a6f6375ec..c5dbde841470 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -81,7 +81,8 @@ DEFAULT_EXPOSABLE_EVENT_TYPES = ( "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT," "ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT," - "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT" + "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT," + "ACTOR_DEFINITION_EVENT,ACTOR_LIFECYCLE_EVENT" ) EXPOSABLE_EVENT_TYPES = os.environ.get( f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 55f0364bb421..25a484225caf 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -7,6 +7,8 @@ proto_library( name = "events_base_event_proto", srcs = ["events_base_event.proto"], deps = [ + ":events_actor_definition_event_proto", + ":events_actor_lifecycle_event_proto", ":events_actor_task_definition_event_proto", ":events_driver_job_definition_event_proto", ":events_driver_job_execution_event_proto", @@ -94,6 +96,25 @@ cc_proto_library( deps = [":events_driver_job_execution_event_proto"], ) +proto_library( + name = "events_actor_definition_event_proto", + srcs = ["events_actor_definition_event.proto"], +) + +cc_proto_library( + name = "events_actor_definition_event_cc_proto", + deps = [":events_actor_definition_event_proto"], +) + +proto_library( + name = "events_actor_lifecycle_event_proto", + srcs = ["events_actor_lifecycle_event.proto"], + deps = [ + "//src/ray/protobuf:common_proto", + "@com_google_protobuf//:timestamp_proto", + ], +) + proto_library( name = "events_node_definition_event_proto", srcs = ["events_node_definition_event.proto"], @@ -112,6 +133,11 @@ proto_library( ], ) +cc_proto_library( + name = "events_actor_lifecycle_event_cc_proto", + deps = [":events_actor_lifecycle_event_proto"], +) + cc_proto_library( name = "events_node_lifecycle_event_cc_proto", deps = [":events_node_lifecycle_event_proto"], diff --git a/src/ray/protobuf/public/events_actor_definition_event.proto b/src/ray/protobuf/public/events_actor_definition_event.proto new file mode 100644 index 000000000000..63ce89045cca --- /dev/null +++ b/src/ray/protobuf/public/events_actor_definition_event.proto @@ -0,0 +1,43 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc.events; + +message ActorDefinitionEvent { + // The ID of the actor that was created. + bytes actor_id = 1; + // The ID of the job that created the actor. + bytes job_id = 2; + // Whether the actor is persistent. + bool is_detached = 3; + // Name of the actor. + string name = 4; + // The actor's namespace. Named `ray_namespace` to avoid conflicting with c++ keyword. + string ray_namespace = 5; + // Serialized runtime_env used to report in the dashboard snapshot. We need to populate + // it here instead of grabbing it from the task spec because the task spec is cleared + // for deleted actors: https://github.com/ray-project/ray/pull/11149. + string serialized_runtime_env = 6; + // The actor's class name. This is necessary because the task spec's lifetime + // is shorter than the ActorTableData. + string class_name = 7; + // Quantities of the different resources required by this actor. + map required_resources = 8; + // Placement group ID if the actor requires a placement group. + bytes placement_group_id = 9; + // The label selector for the actor. + map label_selector = 11; +} diff --git a/src/ray/protobuf/public/events_actor_lifecycle_event.proto b/src/ray/protobuf/public/events_actor_lifecycle_event.proto new file mode 100644 index 000000000000..debdf844bcf3 --- /dev/null +++ b/src/ray/protobuf/public/events_actor_lifecycle_event.proto @@ -0,0 +1,54 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +syntax = "proto3"; + +package ray.rpc.events; + +import "src/ray/protobuf/common.proto"; +import "google/protobuf/timestamp.proto"; + +message ActorLifecycleEvent { + enum State{ + // Actor info is registered in GCS. But its dependencies are not ready. + DEPENDENCIES_UNREADY = 0; + // Actor local dependencies are ready. This actor is being created. + PENDING_CREATION = 1; + // Actor is alive. + ALIVE = 2; + // Actor is dead, now being restarted. + // After reconstruction finishes, the state will become alive again. + RESTARTING = 3; + // Actor is already dead and won't be restarted. + DEAD = 4; + } + + message StateTransition { + State state = 1; + google.protobuf.Timestamp timestamp = 2; + // The node id of the actor once it is created. + // available when state is ALIVE updated when the actor is restarted. + bytes node_id = 3; + // The worker id of the worker on which this actor is running. available when state is ALIVE. + // The worker id can change when the actor is restarted. + bytes worker_id = 4; + // Contains metadata about why the actor is dead. available when state is DEAD. + ActorDeathCause death_cause = 6; + } + + // The ID of the actor that was created. + bytes actor_id = 1; + // Current state of this actor. + repeated StateTransition state_transitions = 2; +} diff --git a/src/ray/protobuf/public/events_base_event.proto b/src/ray/protobuf/public/events_base_event.proto index af668a75c8a0..5adbf9757f62 100644 --- a/src/ray/protobuf/public/events_base_event.proto +++ b/src/ray/protobuf/public/events_base_event.proto @@ -23,6 +23,8 @@ import "src/ray/protobuf/public/events_task_definition_event.proto"; import "src/ray/protobuf/public/events_task_execution_event.proto"; import "src/ray/protobuf/public/events_driver_job_definition_event.proto"; import "src/ray/protobuf/public/events_driver_job_execution_event.proto"; +import "src/ray/protobuf/public/events_actor_definition_event.proto"; +import "src/ray/protobuf/public/events_actor_lifecycle_event.proto"; import "src/ray/protobuf/public/events_node_definition_event.proto"; import "src/ray/protobuf/public/events_node_lifecycle_event.proto"; @@ -54,6 +56,8 @@ message RayEvent { DRIVER_JOB_EXECUTION_EVENT = 6; NODE_DEFINITION_EVENT = 7; NODE_LIFECYCLE_EVENT = 8; + ACTOR_DEFINITION_EVENT = 9; + ACTOR_LIFECYCLE_EVENT = 10; } // The severities of events that can be generated. @@ -97,4 +101,6 @@ message RayEvent { DriverJobExecutionEvent driver_job_execution_event = 13; NodeDefinitionEvent node_definition_event = 14; NodeLifecycleEvent node_lifecycle_event = 15; + ActorDefinitionEvent actor_definition_event = 16; + ActorLifecycleEvent actor_lifecycle_event = 17; } From 4a5612c4404aa4f93a86ee30872e56625dd7abcb Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 10 Sep 2025 18:00:27 -0700 Subject: [PATCH 1156/1566] [data] ignore metadata for pandas block (#56402) ## Why are these changes needed? Consider the following the code ```python import ray # Read File (1) source_path = "file_that_contains_tensor_strings.parquet" ds = ray.data.read_parquet(source_path) # Write File (2) dest_path = "/tmp" ds.map_batches(..., batch_format="pandas").write_parquet(dest_path) # Read File Again (3) new_ds = ray.data.read_parquet(dest_path).map_bataches(..., batch_format="pandas") ``` At a high level we read, write, read. On a lower-level, we convert arrow blocks -> pandas -> arrow blocks -> pandas. We have connectors and registered extension types in `python/ray/air/util/tensor_extensions/`, however we special case handle tensor types by converting them to `TensorArrays` [here](https://github.com/iamjustinhsu/ray/blob/1f7dcec413bf9aba3ac39c0a14d7d4b734a1939f/python/ray/data/_internal/pandas_block.py#L238) when we convert pandas -> arrow. During this process, however, pyarrow will store metadata about the pandas block, which will look something like this: ```json { "name": "feature1", "field_name": "feature1", "pandas_type": "object", "numpy_type": "numpy.ndarray(shape=(8, 2), dtype= ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- python/ray/air/tests/test_tensor_extension.py | 26 +++++++++++++++++++ python/ray/data/_internal/arrow_block.py | 4 ++- python/ray/data/context.py | 6 +++++ 3 files changed, 35 insertions(+), 1 deletion(-) diff --git a/python/ray/air/tests/test_tensor_extension.py b/python/ray/air/tests/test_tensor_extension.py index fb5b6bbd43ab..1f0c8ff08756 100644 --- a/python/ray/air/tests/test_tensor_extension.py +++ b/python/ray/air/tests/test_tensor_extension.py @@ -800,6 +800,32 @@ def test_large_arrow_tensor_array(restore_data_context, tensor_format): assert np.asarray(arr).shape == (1000, 550) +@pytest.mark.parametrize("tensor_format", ["v1", "v2"]) +def test_tensor_array_string_tensors_simple(restore_data_context, tensor_format): + """Simple test for fixed-shape string tensor arrays with pandas/arrow roundtrip.""" + DataContext.get_current().use_arrow_tensor_v2 = tensor_format == "v2" + + # Create fixed-shape string tensor + string_tensors = np.array( + [["hello", "world"], ["arrow", "pandas"], ["tensor", "string"]] + ) + + # Create pandas DataFrame with TensorArray + df_pandas = pd.DataFrame({"id": [1, 2, 3], "strings": TensorArray(string_tensors)}) + # Convert to Arrow table + arrow_table = pa.Table.from_pandas(df_pandas) + + # Convert back to pandas + df_roundtrip = arrow_table.to_pandas(ignore_metadata=True) + + # Verify the roundtrip preserves the data + original_strings = df_pandas["strings"].to_numpy() + roundtrip_strings = df_roundtrip["strings"].to_numpy() + + np.testing.assert_array_equal(original_strings, roundtrip_strings) + np.testing.assert_array_equal(roundtrip_strings, string_tensors) + + if __name__ == "__main__": import sys diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 9714ecaab709..14a11b8b0fab 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -263,8 +263,10 @@ def schema(self) -> "pyarrow.lib.Schema": def to_pandas(self) -> "pandas.DataFrame": from ray.air.util.data_batch_conversion import _cast_tensor_columns_to_ndarrays - df = self._table.to_pandas() + # We specify ignore_metadata=True because pyarrow will use the metadata + # to build the Table. This is handled incorrectly for older pyarrow versions ctx = DataContext.get_current() + df = self._table.to_pandas(ignore_metadata=ctx.pandas_block_ignore_metadata) if ctx.enable_tensor_extension_casting: df = _cast_tensor_columns_to_ndarrays(df) return df diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 59bebbaa3ede..480192bfb986 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -70,6 +70,10 @@ class ShuffleStrategy(str, enum.Enum): DEFAULT_ENABLE_PANDAS_BLOCK = True +DEFAULT_PANDAS_BLOCK_IGNORE_METADATA = bool( + os.environ.get("RAY_DATA_PANDAS_BLOCK_IGNORE_METADATA", 0) +) + DEFAULT_READ_OP_MIN_NUM_BLOCKS = 200 DEFAULT_ACTOR_PREFETCHER_ENABLED = False @@ -541,6 +545,8 @@ class DataContext: enforce_schemas: bool = DEFAULT_ENFORCE_SCHEMAS + pandas_block_ignore_metadata: bool = DEFAULT_PANDAS_BLOCK_IGNORE_METADATA + def __post_init__(self): # The additonal ray remote args that should be added to # the task-pool-based data tasks. From 8f4058af3866cbb92159c3d86f54d4b8346eb66c Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 10 Sep 2025 18:23:01 -0700 Subject: [PATCH 1157/1566] [core][otel] clear gauge metric cache at export time (#56405) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit `self._observations_by_name` is a mapping of all time series for a given gauge metric to their current values. Currently, we do not clean up this map at each export interval, which can lead to issues where dead time series (e.g., series created by workers that are no longer alive) continue to emit their last value. Since we use sum aggregation for most gauge metrics, the sum ends up including contributions from these dead workers. This PR introduces cleanup at each export interval, which also improves memory usage. It relies on the active processes to emit the relevant, up-to-date information at every interval. Test: - CI - Test e2e on anyscale platform (previously the number of live actors remained as 6 after resizing, now they go back to 3 Screenshot 2025-09-10 at 10 28 57 AM Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../_private/telemetry/open_telemetry_metric_recorder.py | 2 ++ .../ray/dashboard/modules/reporter/tests/test_reporter.py | 7 ++----- python/ray/tests/test_metrics_agent.py | 1 + 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py index a5cb561df1e8..1076ed5c0857 100644 --- a/python/ray/_private/telemetry/open_telemetry_metric_recorder.py +++ b/python/ray/_private/telemetry/open_telemetry_metric_recorder.py @@ -59,6 +59,8 @@ def callback(options): # Take snapshot of current observations. with self._lock: observations = self._observations_by_name[name] + # Clear the observations to avoid emitting dead observations. + self._observations_by_name[name] = {} # Drop high cardinality from tag_set and sum up the value for # same tag set after dropping aggregated_observations = defaultdict(float) diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 8fbc7218d51a..8bcb52e76156 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -270,11 +270,8 @@ def test_case_ip_correct(): break return str(raylet_proc.process.pid) == str(raylet_pid) - wait_for_condition( - lambda: test_case_stats_exist() and test_case_ip_correct(), - timeout=30, - retry_interval_ms=1000, - ) + wait_for_condition(test_case_stats_exist, timeout=30, retry_interval_ms=1000) + wait_for_condition(test_case_ip_correct, timeout=30, retry_interval_ms=1000) @pytest.mark.skipif( diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 3dadc7015666..21907971c3bc 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -195,6 +195,7 @@ def _setup_cluster_for_test(request, ray_start_cluster): # Add a head node. cluster.add_node( _system_config={ + "metrics_report_interval_ms": 1000, "event_stats_print_interval_ms": 500, "event_stats": True, "enable_metrics_collection": enable_metrics_collection, From 72d6a679da2503408764e81f562e7a49afb4bdcc Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Wed, 10 Sep 2025 20:29:09 -0700 Subject: [PATCH 1158/1566] [Data] Make operator `target_max_block_size` optional and rename as override (#56423) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? This PR: * Makes the `target_max_block_size` parameter of physical operators optional * Renames them to `target_max_block_size_override` No behavior changes are introduced. This is purely renaming and removing unnecessary keyword arguments. The goal is to clarify the parameter’s intent and simplify constructor calls. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 2 -- .../execution/interfaces/physical_operator.py | 22 +++++++++---------- .../execution/interfaces/task_context.py | 4 ++-- .../operators/actor_pool_map_operator.py | 10 ++++----- .../execution/operators/aggregate_num_rows.py | 1 - .../operators/base_physical_operator.py | 19 ++++++++-------- .../execution/operators/hash_shuffle.py | 1 - .../execution/operators/input_data_buffer.py | 2 +- .../execution/operators/limit_operator.py | 2 +- .../execution/operators/map_operator.py | 4 ++-- .../execution/operators/map_transformer.py | 8 +++---- .../execution/operators/output_splitter.py | 1 - .../operators/task_pool_map_operator.py | 2 +- .../execution/operators/zip_operator.py | 1 - .../rules/inherit_target_max_block_size.py | 6 ++--- .../logical/rules/operator_fusion.py | 10 ++++----- .../_internal/planner/plan_all_to_all_op.py | 1 - .../data/_internal/planner/random_shuffle.py | 4 ++-- .../ray/data/_internal/planner/repartition.py | 8 ++++--- .../tests/test_actor_pool_map_operator.py | 2 -- python/ray/data/tests/test_operators.py | 4 ++-- .../ray/data/tests/test_streaming_executor.py | 1 - 22 files changed, 54 insertions(+), 61 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 9ee8a2b39ad0..4455dd16b381 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1098,8 +1098,6 @@ python/ray/data/_internal/execution/interfaces/task_context.py python/ray/data/_internal/execution/operators/base_physical_operator.py DOC101: Method `OneToOneOperator.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `OneToOneOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [data_context: DataContext]. - DOC101: Method `AllToAllOperator.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `AllToAllOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [data_context: DataContext, target_max_block_size: Optional[int]]. DOC103: Method `NAryOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*input_ops: LogicalOperator, data_context: DataContext]. Arguments in the docstring but not in the function signature: [input_op: , name: ]. -------------------- python/ray/data/_internal/execution/operators/hash_shuffle.py diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index c3a7b429813e..769f7f967812 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -251,15 +251,15 @@ def __init__( name: str, input_dependencies: List["PhysicalOperator"], data_context: DataContext, - target_max_block_size: Optional[int], + target_max_block_size_override: Optional[int] = None, ): super().__init__(name, input_dependencies) for x in input_dependencies: assert isinstance(x, PhysicalOperator), x self._inputs_complete = not input_dependencies - self._output_block_size_option = None - self.set_target_max_block_size(target_max_block_size) + self._output_block_size_option_override = None + self.override_target_max_block_size(target_max_block_size_override) self._started = False self._shutdown = False self._in_task_submission_backpressure = False @@ -307,15 +307,15 @@ def set_logical_operators( self._logical_operators = list(logical_ops) @property - def target_max_block_size(self) -> Optional[int]: + def target_max_block_size_override(self) -> Optional[int]: """ Target max block size output by this operator. If this returns None, then the default from DataContext should be used. """ - if self._output_block_size_option is None: + if self._output_block_size_option_override is None: return None else: - return self._output_block_size_option.target_max_block_size + return self._output_block_size_option_override.target_max_block_size @property def actual_target_max_block_size(self) -> Optional[int]: @@ -325,18 +325,18 @@ def actual_target_max_block_size(self) -> Optional[int]: `None` if the target max block size is not set, otherwise the target max block size. `None` means the block size is infinite. """ - target_max_block_size = self.target_max_block_size + target_max_block_size = self.target_max_block_size_override if target_max_block_size is None: target_max_block_size = self.data_context.target_max_block_size return target_max_block_size - def set_target_max_block_size(self, target_max_block_size: Optional[int]): + def override_target_max_block_size(self, target_max_block_size: Optional[int]): if target_max_block_size is not None: - self._output_block_size_option = OutputBlockSizeOption( + self._output_block_size_option_override = OutputBlockSizeOption( target_max_block_size=target_max_block_size ) - elif self._output_block_size_option is not None: - self._output_block_size_option = None + elif self._output_block_size_option_override is not None: + self._output_block_size_option_override = None def mark_execution_finished(self): """Manually mark that this operator has finished execution.""" diff --git a/python/ray/data/_internal/execution/interfaces/task_context.py b/python/ray/data/_internal/execution/interfaces/task_context.py index 9fb4ffe6e20f..7ff0f60f9670 100644 --- a/python/ray/data/_internal/execution/interfaces/task_context.py +++ b/python/ray/data/_internal/execution/interfaces/task_context.py @@ -44,8 +44,8 @@ class TaskContext: # This should be set if upstream_map_transformer is set. upstream_map_ray_remote_args: Optional[Dict[str, Any]] = None - # The target maximum number of bytes to include in the task's output block. - target_max_block_size: Optional[int] = None + # Override of the target max-block-size for the task + target_max_block_size_override: Optional[int] = None # Additional keyword arguments passed to the task. kwargs: Dict[str, Any] = field(default_factory=dict) diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index a526b982ef45..231046c984e3 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -65,7 +65,6 @@ def __init__( map_transformer: MapTransformer, input_op: PhysicalOperator, data_context: DataContext, - target_max_block_size: Optional[int], compute_strategy: ActorPoolStrategy, name: str = "ActorPoolMap", min_rows_per_bundle: Optional[int] = None, @@ -73,6 +72,7 @@ def __init__( map_task_kwargs: Optional[Dict[str, Any]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + target_max_block_size_override: Optional[int] = None, ): """Create an ActorPoolMapOperator instance. @@ -81,8 +81,6 @@ def __init__( to each ref bundle input. input_op: Operator generating input data for this op. data_context: The DataContext instance containing configuration settings. - target_max_block_size: The target maximum number of bytes to - include in an output block. compute_strategy: `ComputeStrategy` used for this operator. name: The name of this operator. min_rows_per_bundle: The number of rows to gather per batch passed to the @@ -100,13 +98,15 @@ def __init__( advanced, experimental feature. ray_remote_args: Customize the ray remote args for this op's tasks. See :func:`ray.remote` for details. + target_max_block_size_override: The target maximum number of bytes to + include in an output block. """ super().__init__( map_transformer, input_op, data_context, name, - target_max_block_size, + target_max_block_size_override, min_rows_per_bundle, supports_fusion, map_task_kwargs, @@ -301,7 +301,7 @@ def _dispatch_tasks(self): ctx = TaskContext( task_idx=self._next_data_task_idx, op_name=self.name, - target_max_block_size=self.actual_target_max_block_size, + target_max_block_size_override=self.actual_target_max_block_size, ) gen = actor.submit.options( num_returns="streaming", diff --git a/python/ray/data/_internal/execution/operators/aggregate_num_rows.py b/python/ray/data/_internal/execution/operators/aggregate_num_rows.py index 674012b00990..68084d2d0ad7 100644 --- a/python/ray/data/_internal/execution/operators/aggregate_num_rows.py +++ b/python/ray/data/_internal/execution/operators/aggregate_num_rows.py @@ -23,7 +23,6 @@ def __init__( "AggregateNumRows", input_dependencies, data_context, - target_max_block_size=None, ) self._column_name = column_name diff --git a/python/ray/data/_internal/execution/operators/base_physical_operator.py b/python/ray/data/_internal/execution/operators/base_physical_operator.py index df934ae323f6..948a34d92fef 100644 --- a/python/ray/data/_internal/execution/operators/base_physical_operator.py +++ b/python/ray/data/_internal/execution/operators/base_physical_operator.py @@ -31,16 +31,16 @@ def __init__( name: str, input_op: PhysicalOperator, data_context: DataContext, - target_max_block_size: Optional[int], + target_max_block_size_override: Optional[int] = None, ): """Create a OneToOneOperator. Args: input_op: Operator generating input data for this op. name: The name of this operator. - target_max_block_size: The target maximum number of bytes to + target_max_block_size_override: The target maximum number of bytes to include in an output block. """ - super().__init__(name, [input_op], data_context, target_max_block_size) + super().__init__(name, [input_op], data_context, target_max_block_size_override) @property def input_dependency(self) -> PhysicalOperator: @@ -58,7 +58,7 @@ def __init__( bulk_fn: AllToAllTransformFn, input_op: PhysicalOperator, data_context: DataContext, - target_max_block_size: Optional[int], + target_max_block_size_override: Optional[int] = None, num_outputs: Optional[int] = None, sub_progress_bar_names: Optional[List[str]] = None, name: str = "AllToAll", @@ -69,6 +69,9 @@ def __init__( list of input ref bundles, and the outputs are the output ref bundles and a stats dict. input_op: Operator generating input data for this op. + data_context: The DataContext instance containing configuration settings. + target_max_block_size_override: The target maximum number of bytes to + include in an output block. num_outputs: The number of expected output bundles for progress bar. sub_progress_bar_names: The names of internal sub progress bars. name: The name of this operator. @@ -82,7 +85,7 @@ def __init__( self._input_buffer: List[RefBundle] = [] self._output_buffer: List[RefBundle] = [] self._stats: StatsDict = {} - super().__init__(name, [input_op], data_context, target_max_block_size) + super().__init__(name, [input_op], data_context, target_max_block_size_override) def num_outputs_total(self) -> Optional[int]: return ( @@ -112,7 +115,7 @@ def all_inputs_done(self) -> None: task_idx=self._next_task_index, op_name=self.name, sub_progress_bar_dict=self._sub_progress_bar_dict, - target_max_block_size=self.actual_target_max_block_size, + target_max_block_size_override=self.actual_target_max_block_size, ) # NOTE: We don't account object store memory use from intermediate `bulk_fn` # outputs (e.g., map outputs for map-reduce). @@ -191,6 +194,4 @@ def __init__( """ input_names = ", ".join([op._name for op in input_ops]) op_name = f"{self.__class__.__name__}({input_names})" - super().__init__( - op_name, list(input_ops), data_context, target_max_block_size=None - ) + super().__init__(op_name, list(input_ops), data_context) diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 400bd9e04573..3ada3a7bd2ad 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -426,7 +426,6 @@ def __init__( name=name, input_dependencies=input_ops, data_context=data_context, - target_max_block_size=None, ) if shuffle_progress_bar_name is None: diff --git a/python/ray/data/_internal/execution/operators/input_data_buffer.py b/python/ray/data/_internal/execution/operators/input_data_buffer.py index 4aa6c4a63688..b2213f9321d0 100644 --- a/python/ray/data/_internal/execution/operators/input_data_buffer.py +++ b/python/ray/data/_internal/execution/operators/input_data_buffer.py @@ -33,7 +33,7 @@ def __init__( num_output_blocks: The number of output blocks. If not specified, progress bars total will be set based on num output bundles instead. """ - super().__init__("Input", [], data_context, target_max_block_size=None) + super().__init__("Input", [], data_context) if input_data is not None: assert input_data_factory is None # Copy the input data to avoid mutating the original list. diff --git a/python/ray/data/_internal/execution/operators/limit_operator.py b/python/ray/data/_internal/execution/operators/limit_operator.py index c4702323d565..246f34b82453 100644 --- a/python/ray/data/_internal/execution/operators/limit_operator.py +++ b/python/ray/data/_internal/execution/operators/limit_operator.py @@ -29,7 +29,7 @@ def __init__( self._name = f"limit={limit}" self._output_blocks_stats: List[BlockStats] = [] self._cur_output_bundles = 0 - super().__init__(self._name, input_op, data_context, target_max_block_size=None) + super().__init__(self._name, input_op, data_context) if self._limit <= 0: self.mark_execution_finished() diff --git a/python/ray/data/_internal/execution/operators/map_operator.py b/python/ray/data/_internal/execution/operators/map_operator.py index 3efa53e28bb1..9af913687c5f 100644 --- a/python/ray/data/_internal/execution/operators/map_operator.py +++ b/python/ray/data/_internal/execution/operators/map_operator.py @@ -239,7 +239,7 @@ def create( map_transformer, input_op, data_context, - target_max_block_size=target_max_block_size, + target_max_block_size_override=target_max_block_size, compute_strategy=compute_strategy, name=name, min_rows_per_bundle=min_rows_per_bundle, @@ -551,7 +551,7 @@ def _map_task( ctx.kwargs.update(kwargs) TaskContext.set_current(ctx) stats = BlockExecStats.builder() - map_transformer.set_target_max_block_size(ctx.target_max_block_size) + map_transformer.override_target_max_block_size(ctx.target_max_block_size_override) with MemoryProfiler(data_context.memory_usage_poll_interval_s) as profiler: for b_out in map_transformer.apply_transform(iter(blocks), ctx): # TODO(Clark): Add input file propagation from input blocks. diff --git a/python/ray/data/_internal/execution/operators/map_transformer.py b/python/ray/data/_internal/execution/operators/map_transformer.py index db3e5fc5353e..4d8870c4d3b8 100644 --- a/python/ray/data/_internal/execution/operators/map_transformer.py +++ b/python/ray/data/_internal/execution/operators/map_transformer.py @@ -89,7 +89,7 @@ def category(self) -> MapTransformFnCategory: def output_block_size_option(self): return self._output_block_size_option - def set_target_max_block_size(self, target_max_block_size: Optional[int]): + def override_target_max_block_size(self, target_max_block_size: Optional[int]): self._output_block_size_option = OutputBlockSizeOption( target_max_block_size=target_max_block_size ) @@ -163,7 +163,7 @@ def get_transform_fns(self) -> List[MapTransformFn]: """Get the transform functions.""" return self._transform_fns - def set_target_max_block_size(self, target_max_block_size: int): + def override_target_max_block_size(self, target_max_block_size: Optional[int]): if target_max_block_size is not None: self._output_block_size_option = OutputBlockSizeOption( target_max_block_size=target_max_block_size @@ -221,7 +221,7 @@ def apply_transform( """Apply the transform functions to the input blocks.""" for transform_fn in self._transform_fns: if not transform_fn.output_block_size_option: - transform_fn.set_target_max_block_size(self.target_max_block_size) + transform_fn.override_target_max_block_size(self.target_max_block_size) iter = input_blocks # Apply the transform functions sequentially to the input iterable. @@ -251,7 +251,7 @@ def fused_init_fn(): fused_transform_fns = self._transform_fns + other._transform_fns transformer = MapTransformer(fused_transform_fns, init_fn=fused_init_fn) - transformer.set_target_max_block_size(target_max_block_size) + transformer.override_target_max_block_size(target_max_block_size) return transformer def udf_time(self) -> float: diff --git a/python/ray/data/_internal/execution/operators/output_splitter.py b/python/ray/data/_internal/execution/operators/output_splitter.py index 160ab0558ebd..df8c7e0ec962 100644 --- a/python/ray/data/_internal/execution/operators/output_splitter.py +++ b/python/ray/data/_internal/execution/operators/output_splitter.py @@ -47,7 +47,6 @@ def __init__( f"split({n}, equal={equal})", [input_op], data_context, - target_max_block_size=None, ) self._equal = equal # Buffer of bundles not yet assigned to output splits. diff --git a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py index a46b44cf2bbe..fd402d73cd05 100644 --- a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py @@ -85,7 +85,7 @@ def _add_bundled_input(self, bundle: RefBundle): ctx = TaskContext( task_idx=self._next_data_task_idx, op_name=self.name, - target_max_block_size=self.actual_target_max_block_size, + target_max_block_size_override=self.actual_target_max_block_size, ) dynamic_ray_remote_args = self._get_runtime_ray_remote_args(input_bundle=bundle) diff --git a/python/ray/data/_internal/execution/operators/zip_operator.py b/python/ray/data/_internal/execution/operators/zip_operator.py index 01f2a94774d9..d37ecd59a821 100644 --- a/python/ray/data/_internal/execution/operators/zip_operator.py +++ b/python/ray/data/_internal/execution/operators/zip_operator.py @@ -52,7 +52,6 @@ def __init__( "Zip", [left_input_op, right_input_op], data_context, - target_max_block_size=None, ) def num_outputs_total(self) -> Optional[int]: diff --git a/python/ray/data/_internal/logical/rules/inherit_target_max_block_size.py b/python/ray/data/_internal/logical/rules/inherit_target_max_block_size.py index 298ff6c4edbf..a7d55ccb0ead 100644 --- a/python/ray/data/_internal/logical/rules/inherit_target_max_block_size.py +++ b/python/ray/data/_internal/logical/rules/inherit_target_max_block_size.py @@ -16,13 +16,13 @@ def apply(self, plan: PhysicalPlan) -> PhysicalPlan: def _propagate_target_max_block_size_to_upstream_ops( self, dag: PhysicalOperator, target_max_block_size: Optional[int] = None ): - if dag.target_max_block_size is not None: + if dag.target_max_block_size_override is not None: # Set the target block size to inherit for # upstream ops. - target_max_block_size = dag.target_max_block_size + target_max_block_size = dag.target_max_block_size_override elif target_max_block_size is not None: # Inherit from downstream op. - dag.set_target_max_block_size(target_max_block_size) + dag.override_target_max_block_size(target_max_block_size) for upstream_op in dag.input_dependencies: self._propagate_target_max_block_size_to_upstream_ops( diff --git a/python/ray/data/_internal/logical/rules/operator_fusion.py b/python/ray/data/_internal/logical/rules/operator_fusion.py index 13104de04be8..ba1e07797d4c 100644 --- a/python/ray/data/_internal/logical/rules/operator_fusion.py +++ b/python/ray/data/_internal/logical/rules/operator_fusion.py @@ -212,8 +212,8 @@ def _can_fuse(self, down_op: PhysicalOperator, up_op: PhysicalOperator) -> bool: return False if not self._can_merge_target_max_block_size( - up_op.target_max_block_size, - down_op.target_max_block_size, + up_op.target_max_block_size_override, + down_op.target_max_block_size_override, up_op.data_context, ): return False @@ -302,7 +302,7 @@ def _get_fused_map_operator( ) target_max_block_size = self._get_merged_target_max_block_size( - up_op.target_max_block_size, down_op.target_max_block_size + up_op.target_max_block_size_override, down_op.target_max_block_size_override ) compute = self._fuse_compute_strategy( @@ -436,7 +436,7 @@ def fused_all_to_all_transform_fn( input_op = input_deps[0] target_max_block_size = self._get_merged_target_max_block_size( - up_op.target_max_block_size, down_op.target_max_block_size + up_op.target_max_block_size_override, down_op.target_max_block_size_override ) assert up_op.data_context is down_op.data_context @@ -444,7 +444,7 @@ def fused_all_to_all_transform_fn( fused_all_to_all_transform_fn, input_op, up_op.data_context, - target_max_block_size=target_max_block_size, + target_max_block_size_override=target_max_block_size, num_outputs=down_op._num_outputs, # Transfer over the existing sub-progress bars from # the AllToAllOperator (if any) into the fused operator. diff --git a/python/ray/data/_internal/planner/plan_all_to_all_op.py b/python/ray/data/_internal/planner/plan_all_to_all_op.py index 0fbef1188079..d3c4c0ae74dc 100644 --- a/python/ray/data/_internal/planner/plan_all_to_all_op.py +++ b/python/ray/data/_internal/planner/plan_all_to_all_op.py @@ -161,7 +161,6 @@ def plan_all_to_all_op( fn, input_physical_dag, data_context, - target_max_block_size=None, num_outputs=op._num_outputs, sub_progress_bar_names=op._sub_progress_bar_names, name=op.name, diff --git a/python/ray/data/_internal/planner/random_shuffle.py b/python/ray/data/_internal/planner/random_shuffle.py index 8a78fa587840..b698a3ecc91b 100644 --- a/python/ray/data/_internal/planner/random_shuffle.py +++ b/python/ray/data/_internal/planner/random_shuffle.py @@ -54,7 +54,7 @@ def fn( # overhead. This can be removed once dynamic block splitting is # supported for all-to-all ops. # See https://github.com/ray-project/ray/issues/40518. - map_transformer.set_target_max_block_size(float("inf")) + map_transformer.override_target_max_block_size(float("inf")) def upstream_map_fn(blocks): return map_transformer.apply_transform(blocks, ctx) @@ -64,7 +64,7 @@ def upstream_map_fn(blocks): ray_remote_args = ctx.upstream_map_ray_remote_args shuffle_spec = ShuffleTaskSpec( - ctx.target_max_block_size, + ctx.target_max_block_size_override, random_shuffle=True, random_seed=seed, upstream_map_fn=upstream_map_fn, diff --git a/python/ray/data/_internal/planner/repartition.py b/python/ray/data/_internal/planner/repartition.py index 6ba3afd0e147..5a119f540c83 100644 --- a/python/ray/data/_internal/planner/repartition.py +++ b/python/ray/data/_internal/planner/repartition.py @@ -48,13 +48,13 @@ def shuffle_repartition_fn( # overhead. This can be removed once dynamic block splitting is # supported for all-to-all ops. # See https://github.com/ray-project/ray/issues/40518. - map_transformer.set_target_max_block_size(float("inf")) + map_transformer.override_target_max_block_size(float("inf")) def upstream_map_fn(blocks): return map_transformer.apply_transform(blocks, ctx) shuffle_spec = ShuffleTaskSpec( - ctx.target_max_block_size, + ctx.target_max_block_size_override, random_shuffle=False, upstream_map_fn=upstream_map_fn, ) @@ -77,7 +77,9 @@ def split_repartition_fn( refs: List[RefBundle], ctx: TaskContext, ) -> AllToAllTransformFnResult: - shuffle_spec = ShuffleTaskSpec(ctx.target_max_block_size, random_shuffle=False) + shuffle_spec = ShuffleTaskSpec( + ctx.target_max_block_size_override, random_shuffle=False + ) scheduler = SplitRepartitionTaskScheduler(shuffle_spec) return scheduler.execute(refs, num_outputs, ctx) diff --git a/python/ray/data/tests/test_actor_pool_map_operator.py b/python/ray/data/tests/test_actor_pool_map_operator.py index 66dcad11f0db..e6b149c153a5 100644 --- a/python/ray/data/tests/test_actor_pool_map_operator.py +++ b/python/ray/data/tests/test_actor_pool_map_operator.py @@ -599,7 +599,6 @@ def test_setting_initial_size_for_actor_pool(): map_transformer=MagicMock(), input_op=InputDataBuffer(data_context, input_data=MagicMock()), data_context=data_context, - target_max_block_size=None, compute_strategy=ray.data.ActorPoolStrategy( min_size=1, max_size=4, initial_size=2 ), @@ -620,7 +619,6 @@ def test_min_max_resource_requirements(restore_data_context): map_transformer=MagicMock(), input_op=InputDataBuffer(data_context, input_data=MagicMock()), data_context=data_context, - target_max_block_size=None, compute_strategy=ray.data.ActorPoolStrategy( min_size=1, max_size=2, diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index 92e5f0ab5741..8ef0f2267386 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -121,7 +121,7 @@ def dummy_all_transform(bundles: List[RefBundle], ctx): dummy_all_transform, input_op, DataContext.get_current(), - target_max_block_size=DataContext.get_current().target_max_block_size, + target_max_block_size_override=DataContext.get_current().target_max_block_size, num_outputs=2, sub_progress_bar_names=["Test1", "Test2"], name="TestAll", @@ -172,7 +172,7 @@ def dummy_all_transform(bundles: List[RefBundle]): dummy_all_transform, input_op=op1, data_context=DataContext.get_current(), - target_max_block_size=DataContext.get_current().target_max_block_size, + target_max_block_size_override=DataContext.get_current().target_max_block_size, name="TestAll", ) assert op2.num_outputs_total() is None diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index 4bb996a280cf..38344b4f4134 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -142,7 +142,6 @@ def test_disallow_non_unique_operators(): "test_combine", [o2, o3], DataContext.get_current(), - target_max_block_size=None, ) with pytest.raises(ValueError): build_streaming_topology(o4, ExecutionOptions(verbose_progress=True)) From ce5277f531806974ebc8e09ba04644f5c68199bc Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 10 Sep 2025 21:26:55 -0700 Subject: [PATCH 1159/1566] [core] Introduce env var to set rpc failure prob for all rpc's (#56413) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 12 +++-- src/ray/rpc/rpc_chaos.cc | 77 ++++++++++++++++++++--------- src/ray/rpc/rpc_chaos.h | 2 +- src/ray/rpc/tests/rpc_chaos_test.cc | 55 ++++++++++++++------- 4 files changed, 100 insertions(+), 46 deletions(-) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index b9c2e7e6b979..f780c9b6868e 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -833,9 +833,15 @@ RAY_CONFIG(std::string, REDIS_SERVER_NAME, "") // it will apply to all methods. RAY_CONFIG(std::string, testing_asio_delay_us, "") -/// To use this, simply do -/// export -/// RAY_testing_rpc_failure="method1=max_num_failures:req_failure_prob:resp_failure_prob,method2=max_num_failures:req_failure_prob:resp_failure_prob" +/// To use this, simply do +/// export +/// RAY_testing_rpc_failure="method1=max_num_failures:req_failure_prob:resp_failure_prob,method2=max_num_failures:req_failure_prob:resp_failure_prob" +/// If you want to test all rpc failures you can use * as the method name and you can set +/// -1 max_num_failures to have unlimited failures. +/// Ex. unlimited failures for all rpc's with 25% request failures and 50% response +/// failures. +/// export RAY_testing_rpc_failure="*=-1:25:50" +/// NOTE: Setting the wildcard will override any configuration for other methods. RAY_CONFIG(std::string, testing_rpc_failure, "") /// The following are configs for the health check. They are borrowed diff --git a/src/ray/rpc/rpc_chaos.cc b/src/ray/rpc/rpc_chaos.cc index b56738945637..d8c1b2bd47bb 100644 --- a/src/ray/rpc/rpc_chaos.cc +++ b/src/ray/rpc/rpc_chaos.cc @@ -25,16 +25,22 @@ namespace ray { namespace rpc { namespace testing { -namespace { // RpcFailureManager is a simple chaos testing framework. Before starting ray, users // should set up os environment to use this feature for testing purposes. -// To use this, simply do + +// You can use this to set probabilities for specific rpc's. // export RAY_testing_rpc_failure="method1=3:25:50,method2=5:25:25" // Key is the RPC call name and value is a three part colon separated structure. It // contains the max number of failures to inject + probability of req failure + // probability of reply failure. +// You can also use a wildcard to set probabilities for all rpc's and -1 as num_failures +// to have unlimited failures. +// export RAY_testing_rpc_failure="*=-1:25:50" +// This will set the probabilities for all rpc's to 25% for request failures and 50% for +// reply failures. + class RpcFailureManager { public: RpcFailureManager() { Init(); } @@ -42,7 +48,10 @@ class RpcFailureManager { void Init() { absl::MutexLock lock(&mu_); + // Clear old state failable_methods_.clear(); + wildcard_set_ = false; + has_failures_ = false; if (!RayConfig::instance().testing_rpc_failure().empty()) { for (const auto &item : @@ -52,33 +61,67 @@ class RpcFailureManager { std::vector colon_split = absl::StrSplit(equal_split[1], ':'); RAY_CHECK_EQ(colon_split.size(), 3UL); auto [iter, _] = failable_methods_.emplace(equal_split[0], - Failable{std::stoul(colon_split[0]), + Failable{std::stol(colon_split[0]), std::stoul(colon_split[1]), std::stoul(colon_split[2])}); const auto &failable = iter->second; RAY_CHECK_LE(failable.req_failure_prob + failable.resp_failure_prob, 100UL); + if (equal_split[0] == "*") { + wildcard_set_ = true; + // The wildcard overrides all other method configurations. + break; + } } std::random_device rd; auto seed = rd(); RAY_LOG(INFO) << "Setting RpcFailureManager seed to " << seed; gen_.seed(seed); + has_failures_ = true; } } RpcFailure GetRpcFailure(const std::string &name) { + if (!has_failures_) { + return RpcFailure::None; + } + absl::MutexLock lock(&mu_); + // Wildcard overrides any other method configurations. + if (wildcard_set_) { + return GetFailureTypeFromFailable(failable_methods_["*"]); + } + auto iter = failable_methods_.find(name); if (iter == failable_methods_.end()) { return RpcFailure::None; } + return GetFailureTypeFromFailable(iter->second); + } - auto &failable = iter->second; + private: + absl::Mutex mu_; + std::mt19937 gen_; + std::atomic_bool has_failures_ = false; + + // If we're testing all rpc failures, we'll use these probabilites instead of + // failable_methods_ + bool wildcard_set_ = false; + + // call name -> (num_remaining_failures, req_failure_prob, resp_failure_prob) + struct Failable { + int64_t num_remaining_failures; + size_t req_failure_prob; + size_t resp_failure_prob; + }; + absl::flat_hash_map failable_methods_ ABSL_GUARDED_BY(&mu_); + + RpcFailure GetFailureTypeFromFailable(Failable &failable) { if (failable.num_remaining_failures == 0) { + // If < 0, unlimited failures. return RpcFailure::None; } - std::uniform_int_distribution dist(1ul, 100ul); const size_t random_number = dist(gen_); if (random_number <= failable.req_failure_prob) { @@ -91,34 +134,22 @@ class RpcFailureManager { } return RpcFailure::None; } - - private: - absl::Mutex mu_; - std::mt19937 gen_; - struct Failable { - size_t num_remaining_failures; - size_t req_failure_prob; - size_t resp_failure_prob; - }; - // call name -> (num_remaining_failures, req_failure_prob, resp_failure_prob) - absl::flat_hash_map failable_methods_ ABSL_GUARDED_BY(&mu_); }; -auto &rpc_failure_manager = []() -> RpcFailureManager & { +namespace { + +RpcFailureManager &GetRpcFailureManager() { static auto *manager = new RpcFailureManager(); return *manager; -}(); +} } // namespace RpcFailure GetRpcFailure(const std::string &name) { - if (RayConfig::instance().testing_rpc_failure().empty()) { - return RpcFailure::None; - } - return rpc_failure_manager.GetRpcFailure(name); + return GetRpcFailureManager().GetRpcFailure(name); } -void Init() { rpc_failure_manager.Init(); } +void Init() { GetRpcFailureManager().Init(); } } // namespace testing } // namespace rpc diff --git a/src/ray/rpc/rpc_chaos.h b/src/ray/rpc/rpc_chaos.h index f839fad39e6c..68a41aa9a4a0 100644 --- a/src/ray/rpc/rpc_chaos.h +++ b/src/ray/rpc/rpc_chaos.h @@ -20,7 +20,7 @@ namespace ray { namespace rpc { namespace testing { -enum class RpcFailure { +enum class RpcFailure : uint8_t { None, // Failure before server receives the request Request, diff --git a/src/ray/rpc/tests/rpc_chaos_test.cc b/src/ray/rpc/tests/rpc_chaos_test.cc index 021a139dd990..f3e6d6b7b8e5 100644 --- a/src/ray/rpc/tests/rpc_chaos_test.cc +++ b/src/ray/rpc/tests/rpc_chaos_test.cc @@ -17,30 +17,47 @@ #include "gtest/gtest.h" #include "ray/common/ray_config.h" -TEST(RpcChaosTest, Basic) { - RayConfig::instance().testing_rpc_failure() = "method1=0:25:25,method2=1:25:25"; - ray::rpc::testing::Init(); - ASSERT_EQ(ray::rpc::testing::GetRpcFailure("unknown"), - ray::rpc::testing::RpcFailure::None); - ASSERT_EQ(ray::rpc::testing::GetRpcFailure("method1"), - ray::rpc::testing::RpcFailure::None); +namespace ray::rpc::testing { + +TEST(RpcChaosTest, MethodRpcFailure) { + RayConfig::instance().testing_rpc_failure() = "method1=0:25:25,method2=1:100:0"; + Init(); + ASSERT_EQ(GetRpcFailure("unknown"), RpcFailure::None); + ASSERT_EQ(GetRpcFailure("method1"), RpcFailure::None); // At most one failure. - ASSERT_FALSE(ray::rpc::testing::GetRpcFailure("method2") != - ray::rpc::testing::RpcFailure::None && - ray::rpc::testing::GetRpcFailure("method2") != - ray::rpc::testing::RpcFailure::None); + ASSERT_TRUE(GetRpcFailure("method2") == RpcFailure::Request); + ASSERT_TRUE(GetRpcFailure("method2") == RpcFailure::None); } -TEST(RpcChaosTest, EdgeCaseProbability) { +TEST(RpcChaosTest, MethodRpcFailureEdgeCase) { RayConfig::instance().testing_rpc_failure() = "method1=1000:100:0,method2=1000:0:100,method3=1000:0:0"; - ray::rpc::testing::Init(); + Init(); for (int i = 0; i < 1000; i++) { - ASSERT_EQ(ray::rpc::testing::GetRpcFailure("method1"), - ray::rpc::testing::RpcFailure::Request); - ASSERT_EQ(ray::rpc::testing::GetRpcFailure("method2"), - ray::rpc::testing::RpcFailure::Response); - ASSERT_EQ(ray::rpc::testing::GetRpcFailure("method3"), - ray::rpc::testing::RpcFailure::None); + ASSERT_EQ(GetRpcFailure("method1"), RpcFailure::Request); + ASSERT_EQ(GetRpcFailure("method2"), RpcFailure::Response); + ASSERT_EQ(GetRpcFailure("method3"), RpcFailure::None); } } + +TEST(RpcChaosTest, WildcardRpcFailure) { + RayConfig::instance().testing_rpc_failure() = "*=-1:100:0"; + Init(); + for (int i = 0; i < 100; i++) { + ASSERT_EQ(GetRpcFailure("method"), RpcFailure::Request); + } + + RayConfig::instance().testing_rpc_failure() = "*=-1:0:100"; + Init(); + for (int i = 0; i < 100; i++) { + ASSERT_EQ(GetRpcFailure("method"), RpcFailure::Response); + } + + RayConfig::instance().testing_rpc_failure() = "*=-1:0:0"; + Init(); + for (int i = 0; i < 100; i++) { + ASSERT_EQ(GetRpcFailure("method"), RpcFailure::None); + } +} + +} // namespace ray::rpc::testing From a8f8e4187b80a72c9c2537f1950d41b2ec6a6429 Mon Sep 17 00:00:00 2001 From: Potato Date: Thu, 11 Sep 2025 13:13:51 +0800 Subject: [PATCH 1160/1566] [DOC] Fix documentation issues in ray-observability directory (#56069) Signed-off-by: Potato Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Co-authored-by: Douglas Strodtman Co-authored-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../ray-observability/getting-started.rst | 4 ++-- .../{post-moretem.gif => post-mortem.gif} | Bin doc/source/ray-observability/key-concepts.rst | 2 +- .../ray-distributed-debugger.rst | 2 +- .../reference/system-metrics.rst | 4 ++-- .../ray-observability/user-guides/cli-sdk.rst | 7 ++++-- .../user-guides/configure-logging.md | 2 +- .../user-guides/debug-apps/debug-failures.rst | 8 +++---- .../user-guides/profiling.md | 20 +++++++++--------- 9 files changed, 26 insertions(+), 23 deletions(-) rename doc/source/ray-observability/images/{post-moretem.gif => post-mortem.gif} (100%) diff --git a/doc/source/ray-observability/getting-started.rst b/doc/source/ray-observability/getting-started.rst index 69ddbe76e7cb..ba66257146e9 100644 --- a/doc/source/ray-observability/getting-started.rst +++ b/doc/source/ray-observability/getting-started.rst @@ -130,7 +130,7 @@ Task Timeline First, download the chrome tracing file by clicking the download button. Alternatively, you can :ref:`use CLI or SDK to export the tracing file `. -Second, use tools like ``chrome://tracing`` or the `Perfetto UI `_ and drop the downloaded chrome tracing file. We will use the Perfetto as it is the recommendation way to visualize chrome tracing files. +Second, use tools like ``chrome://tracing`` or the `Perfetto UI `_ and drop the downloaded chrome tracing file. We will use Perfetto as it is the recommended way to visualize chrome tracing files. In the timeline visualization of Ray Tasks and Actors, there are Node rows (hardware) and Worker rows (processes). Each Worker rows display a list of Task events (e.g., Task scheduled, Task running, input/output deserialization, etc.) happening from that Worker over time. @@ -311,7 +311,7 @@ Additionally, users can see a snapshot of hardware utilization from the :ref:`Cl View the resource utilization ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Ray requires users to specify the number of :ref:`resources ` their Tasks and Actors to use through arguments such as ``num_cpus``, ``num_gpus``, ``memory``, and ``resource``. +Ray requires users to specify the number of :ref:`resources ` their Tasks and Actors use through arguments such as ``num_cpus``, ``num_gpus``, ``memory``, and ``resource``. These values are used for scheduling, but may not always match the actual resource utilization (physical resource utilization). - See the logical and physical resource utilization over time from the :ref:`Metrics view `. diff --git a/doc/source/ray-observability/images/post-moretem.gif b/doc/source/ray-observability/images/post-mortem.gif similarity index 100% rename from doc/source/ray-observability/images/post-moretem.gif rename to doc/source/ray-observability/images/post-mortem.gif diff --git a/doc/source/ray-observability/key-concepts.rst b/doc/source/ray-observability/key-concepts.rst index 00723f3056aa..0273a0132791 100644 --- a/doc/source/ray-observability/key-concepts.rst +++ b/doc/source/ray-observability/key-concepts.rst @@ -73,7 +73,7 @@ View :ref:`Ray Debugger ` for more details. Profiling --------- -Profiling is way of analyzing the performance of an application by sampling the resource usage of it. Ray supports various profiling tools: +Profiling is a way of analyzing the performance of an application by sampling the resource usage of it. Ray supports various profiling tools: - CPU profiling for Driver and Worker processes, including integration with :ref:`py-spy ` and :ref:`cProfile ` - Memory profiling for Driver and Worker processes with :ref:`memray ` diff --git a/doc/source/ray-observability/ray-distributed-debugger.rst b/doc/source/ray-observability/ray-distributed-debugger.rst index ca1a545deb7b..461fd7db91a1 100644 --- a/doc/source/ray-observability/ray-distributed-debugger.rst +++ b/doc/source/ray-observability/ray-distributed-debugger.rst @@ -199,7 +199,7 @@ When the app throws an exception: - The paused task is listed in the Ray Debugger extension. - Click the play icon next to the name of the paused task to attach the debugger and start debugging. -.. image:: ./images/post-moretem.gif +.. image:: ./images/post-mortem.gif :align: center diff --git a/doc/source/ray-observability/reference/system-metrics.rst b/doc/source/ray-observability/reference/system-metrics.rst index 7cacfe249df5..b7ba9d889f27 100644 --- a/doc/source/ray-observability/reference/system-metrics.rst +++ b/doc/source/ray-observability/reference/system-metrics.rst @@ -6,7 +6,7 @@ Ray exports a number of system metrics, which provide introspection into the sta .. note:: - Certain labels are common across all metrics, such as `SessionName` (uniquely identifies a Ray cluster instance), `instance` (per-node label applied by Prometheus, and `JobId` (Ray job id, as applicable). + Certain labels are common across all metrics, such as `SessionName` (uniquely identifies a Ray cluster instance), `instance` (per-node label applied by Prometheus), and `JobId` (Ray job ID, as applicable). .. list-table:: Ray System Metrics :header-rows: 1 @@ -22,7 +22,7 @@ Ray exports a number of system metrics, which provide introspection into the sta - Current number of actors in a particular state. The State label is described by `rpc::ActorTableData `_ proto in gcs.proto. The actor class name is available in the Name label. * - `ray_resources` - `Name`, `State`, `InstanceId` - - Logical resource usage for each node of the cluster. Each resource has some quantity that is `in either `_ USED state vs AVAILABLE state. The Name label defines the resource name (e.g., CPU, GPU). + - Logical resource usage for each node of the cluster. Each resource has some quantity that is in either `USED or AVAILABLE state `_. The Name label defines the resource name (e.g., CPU, GPU). * - `ray_object_store_memory` - `Location`, `ObjectState`, `InstanceId` - Object store memory usage in bytes, `broken down `_ by logical Location (SPILLED, MMAP_DISK, MMAP_SHM, and WORKER_HEAP). Definitions are as follows. SPILLED--Objects that have spilled to disk or a remote Storage solution (for example, AWS S3). The default is the disk. MMAP_DISK--Objects stored on a memory-mapped page on disk. This mode very slow and only happens under severe memory pressure. MMAP_SHM--Objects store on a memory-mapped page in Shared Memory. This mode is the default, in the absence of memory pressure. WORKER_HEAP--Objects, usually smaller, stored in the memory of the Ray Worker process itself. Small objects are stored in the worker heap. diff --git a/doc/source/ray-observability/user-guides/cli-sdk.rst b/doc/source/ray-observability/user-guides/cli-sdk.rst index 11d34759fa81..5be71ed9f913 100644 --- a/doc/source/ray-observability/user-guides/cli-sdk.rst +++ b/doc/source/ray-observability/user-guides/cli-sdk.rst @@ -317,8 +317,11 @@ you can use ``list`` or ``get`` APIs to get more details for an individual abnor .. note:: By default, objects are summarized by callsite. However, callsite is not recorded by Ray by default. - To get callsite info, set env variable `RAY_record_ref_creation_sites=1` when starting the Ray Cluster - RAY_record_ref_creation_sites=1 ray start --head + To get callsite info, set env variable `RAY_record_ref_creation_sites=1` when starting the Ray cluster: + + .. code-block:: bash + + RAY_record_ref_creation_sites=1 ray start --head .. tab-set:: diff --git a/doc/source/ray-observability/user-guides/configure-logging.md b/doc/source/ray-observability/user-guides/configure-logging.md index 0d932be05fd3..d74daf7c442c 100644 --- a/doc/source/ray-observability/user-guides/configure-logging.md +++ b/doc/source/ray-observability/user-guides/configure-logging.md @@ -594,4 +594,4 @@ The max size of a log file, including its backup, is `RAY_ROTATION_MAX_BYTES * R ## Log persistence -To process and export logs to external storage or management systems, view {ref}`log persistence on Kubernetes ` see {ref}`log persistence on VMs ` for more details. +To process and export logs to external storage or management systems, see {ref}`log persistence on Kubernetes ` and {ref}`log persistence on VMs ` for more details. diff --git a/doc/source/ray-observability/user-guides/debug-apps/debug-failures.rst b/doc/source/ray-observability/user-guides/debug-apps/debug-failures.rst index b1b12d46b0e6..6ac6a695a26a 100644 --- a/doc/source/ray-observability/user-guides/debug-apps/debug-failures.rst +++ b/doc/source/ray-observability/user-guides/debug-apps/debug-failures.rst @@ -61,8 +61,8 @@ Many Python developers use a debugger to debug Python programs, and `Python pdb Ray has native integration to ``pdb``. You can simply add ``breakpoint()`` to Actors and Tasks code to enable ``pdb``. View :ref:`Ray Debugger ` for more details. -Running out of file descriptors (``Too may open files``) --------------------------------------------------------- +Running out of file descriptors (``Too many open files``) +--------------------------------------------------------- In a Ray cluster, arbitrary two system components can communicate with each other and make 1 or more connections. For example, some workers may need to communicate with GCS to schedule Actors (worker <-> GCS connection). @@ -76,7 +76,7 @@ more than 1024 connections to the component, it can raise error messages below. .. code-block:: bash - Too may open files + Too many open files It is especially common for the head node GCS process because it is a centralized component that many other components in Ray communicate with. When you see this error message, @@ -119,4 +119,4 @@ View :ref:`debugging memory issues ` for more details. This document discusses some common problems that people run into when using Ray as well as some known problems. If you encounter other problems, `let us know`_. -.. _`let us know`: https://github.com/ray-project/ray/issues \ No newline at end of file +.. _`let us know`: https://github.com/ray-project/ray/issues diff --git a/doc/source/ray-observability/user-guides/profiling.md b/doc/source/ray-observability/user-guides/profiling.md index 6068a97fa1f3..a5814e309163 100644 --- a/doc/source/ray-observability/user-guides/profiling.md +++ b/doc/source/ray-observability/user-guides/profiling.md @@ -102,12 +102,12 @@ ray.init() @ray.remote(num_gpus=1, runtime_env={ "nsight": "default"}) class RayActor: - def run(): - a = torch.tensor([1.0, 2.0, 3.0]).cuda() - b = torch.tensor([4.0, 5.0, 6.0]).cuda() - c = a * b + def run(self): + a = torch.tensor([1.0, 2.0, 3.0]).cuda() + b = torch.tensor([4.0, 5.0, 6.0]).cuda() + c = a * b - print("Result on GPU:", c) + print("Result on GPU:", c) ray_actor = RayActor.remote() # The Actor or Task process runs with : "nsys profile [default options] ..." @@ -135,12 +135,12 @@ runtime_env={ "nsight": { "cuda-graph-trace": "graph", }}) class RayActor: - def run(): - a = torch.tensor([1.0, 2.0, 3.0]).cuda() - b = torch.tensor([4.0, 5.0, 6.0]).cuda() - c = a * b + def run(self): + a = torch.tensor([1.0, 2.0, 3.0]).cuda() + b = torch.tensor([4.0, 5.0, 6.0]).cuda() + c = a * b - print("Result on GPU:", c) + print("Result on GPU:", c) ray_actor = RayActor.remote() From 3f9d94bde6c7b296629e08938d16c7672e2ec1d4 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Thu, 11 Sep 2025 07:06:15 -0700 Subject: [PATCH 1161/1566] [release] Add base image build step to release configs (#56438) Separated from https://github.com/ray-project/ray/pull/56233/files. Added these base image step keys so they can be referenced in release test launching. --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- ci/ray_ci/oss_config.yaml | 4 ++++ release/ray_release/configs/global_config.py | 10 ++++++++++ release/ray_release/tests/test_global_config.py | 7 +++++++ 3 files changed, 21 insertions(+) diff --git a/ci/ray_ci/oss_config.yaml b/ci/ray_ci/oss_config.yaml index 1eb2fa0d0a38..ffaa50fa7158 100644 --- a/ci/ray_ci/oss_config.yaml +++ b/ci/ray_ci/oss_config.yaml @@ -23,3 +23,7 @@ state_machine: aws_bucket: ray-ci-pr-results branch: aws_bucket: ray-ci-results +release_image_step: + ray: anyscalebuild + ray_ml: anyscalemlbuild + ray_llm: anyscalellmbuild diff --git a/release/ray_release/configs/global_config.py b/release/ray_release/configs/global_config.py index c3a07375a2d2..88eb6656c73a 100644 --- a/release/ray_release/configs/global_config.py +++ b/release/ray_release/configs/global_config.py @@ -21,6 +21,9 @@ class GlobalConfig(TypedDict): ci_pipeline_premerge: List[str] ci_pipeline_postmerge: List[str] ci_pipeline_buildkite_secret: str + release_image_step_ray: str + release_image_step_ray_ml: str + release_image_step_ray_llm: str config = None @@ -106,6 +109,13 @@ def _init_global_config(config_file: str): "buildkite_secret" ), kuberay_disabled=config_content.get("kuberay", {}).get("disabled", 0) == 1, + release_image_step_ray=config_content.get("release_image_step", {}).get("ray"), + release_image_step_ray_ml=config_content.get("release_image_step", {}).get( + "ray_ml" + ), + release_image_step_ray_llm=config_content.get("release_image_step", {}).get( + "ray_llm" + ), ) # setup GCP workload identity federation os.environ[ diff --git a/release/ray_release/tests/test_global_config.py b/release/ray_release/tests/test_global_config.py index 439dc25c3b14..ce60f26d3175 100644 --- a/release/ray_release/tests/test_global_config.py +++ b/release/ray_release/tests/test_global_config.py @@ -33,6 +33,10 @@ postmerge: - hi - three +release_image_step: + ray: anyscalebuild + ray_ml: anyscalemlbuild + ray_llm: anyscalellmbuild """ @@ -56,6 +60,9 @@ def test_init_global_config() -> None: assert config["byod_ray_cr_repo"] == "ray" assert config["byod_ray_ml_cr_repo"] == "ray-ml" assert config["byod_ray_llm_cr_repo"] == "ray-llm" + assert config["release_image_step_ray"] == "anyscalebuild" + assert config["release_image_step_ray_ml"] == "anyscalemlbuild" + assert config["release_image_step_ray_llm"] == "anyscalellmbuild" if __name__ == "__main__": From 1efaedc558fcdc83d502e550a08b33dd4afe9dfd Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 11 Sep 2025 08:02:25 -0700 Subject: [PATCH 1162/1566] [core] Breaking up task_common + lease target no longer depends on task_common (#56371) Closes #55922 --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/fakes/ray/rpc/raylet/BUILD.bazel | 3 + src/fakes/ray/rpc/raylet/raylet_client.h | 2 + src/ray/common/BUILD.bazel | 96 ++++++-- src/ray/common/bundle_spec.cc | 57 +---- src/ray/common/bundle_spec.h | 35 +-- src/ray/common/function_descriptor.cc | 2 + src/ray/common/lease/lease_spec.cc | 14 +- src/ray/common/lease/lease_spec.h | 6 +- src/ray/common/placement_group.cc | 2 +- src/ray/common/placement_group.h | 5 +- src/ray/common/scheduling/BUILD.bazel | 110 +++++++++ .../scheduling/cluster_resource_data.cc | 9 +- .../common/scheduling/cluster_resource_data.h | 7 +- src/ray/common/scheduling/label_selector.cc | 1 - .../common/scheduling/placement_group_util.cc | 77 +++++++ .../common/scheduling/placement_group_util.h | 50 ++++ .../scheduling/resource_instance_set.cc | 5 +- .../common/scheduling/resource_instance_set.h | 1 + src/ray/common/scheduling/resource_set.cc | 3 - .../scheduling/scheduling_class_util.cc | 169 ++++++++++++++ .../common/scheduling/scheduling_class_util.h | 170 ++++++++++++++ src/ray/common/scheduling/scheduling_ids.cc | 4 + src/ray/common/scheduling/scheduling_ids.h | 4 +- src/ray/common/scheduling/tests/BUILD.bazel | 67 ++++++ .../tests/label_selector_test.cc | 0 .../tests/resource_instance_set_test.cc | 0 .../tests/resource_request_test.cc | 0 .../tests/resource_set_test.cc | 0 .../tests/scheduling_ids_test.cc | 3 +- src/ray/common/task/task_spec.cc | 56 +---- src/ray/common/task/task_spec.h | 216 +----------------- src/ray/common/tests/BUILD.bazel | 68 +----- src/ray/common/tests/task_spec_test.cc | 40 ++-- src/ray/core_worker/BUILD.bazel | 3 - src/ray/core_worker/common.cc | 1 - src/ray/core_worker/common.h | 1 - src/ray/core_worker/core_worker_options.h | 1 - .../store_provider/plasma_store_provider.h | 1 - .../core_worker/task_execution/BUILD.bazel | 3 - .../concurrency_group_manager.cc | 1 - .../concurrency_group_manager.h | 1 + .../out_of_order_actor_scheduling_queue.h | 1 - .../task_execution/task_receiver.h | 6 - src/ray/core_worker/tests/BUILD.bazel | 4 - .../core_worker/tests/actor_manager_test.cc | 1 - .../tests/object_recovery_manager_test.cc | 2 - .../task_event_buffer_export_event_test.cc | 3 - src/ray/gcs/gcs_client/BUILD.bazel | 1 + src/ray/gcs/gcs_server/BUILD.bazel | 16 +- src/ray/gcs/gcs_server/gcs_actor_scheduler.h | 5 - .../gcs_server/gcs_placement_group_manager.cc | 3 +- .../gcs_server/gcs_placement_group_manager.h | 4 - .../gcs_placement_group_scheduler.h | 1 - src/ray/gcs/gcs_server/gcs_resource_manager.h | 2 - src/ray/internal/internal.h | 2 +- src/ray/raylet/BUILD.bazel | 3 +- src/ray/raylet/local_lease_manager.cc | 13 +- src/ray/raylet/scheduling/BUILD.bazel | 24 +- .../scheduling/cluster_lease_manager.cc | 3 +- .../raylet/scheduling/cluster_lease_manager.h | 1 - src/ray/raylet/scheduling/internal.h | 1 - .../local_lease_manager_interface.h | 3 +- .../scheduling/local_resource_manager.cc | 5 +- .../scheduling/local_resource_manager.h | 3 - .../policy/bundle_scheduling_policy.h | 2 - .../scheduling/policy/scheduling_context.h | 3 - src/ray/raylet/scheduling/policy/scorer.cc | 2 - src/ray/raylet/scheduling/policy/scorer.h | 1 - .../scheduling/scheduler_resource_reporter.cc | 6 +- .../scheduling/scheduler_resource_reporter.h | 2 - src/ray/raylet/scheduling/scheduler_stats.h | 4 - src/ray/raylet/scheduling/scheduling_policy.h | 1 - src/ray/raylet/scheduling/tests/BUILD.bazel | 1 + src/ray/raylet/tests/BUILD.bazel | 2 +- .../tests/lease_dependency_manager_test.cc | 1 - .../placement_group_resource_manager_test.cc | 1 + src/ray/raylet/worker.cc | 4 +- src/ray/raylet/worker.h | 8 +- src/ray/rpc/BUILD.bazel | 3 +- src/ray/rpc/raylet/raylet_client_interface.h | 15 +- 80 files changed, 852 insertions(+), 605 deletions(-) create mode 100644 src/ray/common/scheduling/BUILD.bazel create mode 100644 src/ray/common/scheduling/placement_group_util.cc create mode 100644 src/ray/common/scheduling/placement_group_util.h create mode 100644 src/ray/common/scheduling/scheduling_class_util.cc create mode 100644 src/ray/common/scheduling/scheduling_class_util.h create mode 100644 src/ray/common/scheduling/tests/BUILD.bazel rename src/ray/common/{ => scheduling}/tests/label_selector_test.cc (100%) rename src/ray/common/{ => scheduling}/tests/resource_instance_set_test.cc (100%) rename src/ray/common/{ => scheduling}/tests/resource_request_test.cc (100%) rename src/ray/common/{ => scheduling}/tests/resource_set_test.cc (100%) rename src/ray/common/{ => scheduling}/tests/scheduling_ids_test.cc (97%) diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel index af2537ff4ab0..fc6b5a141289 100644 --- a/src/fakes/ray/rpc/raylet/BUILD.bazel +++ b/src/fakes/ray/rpc/raylet/BUILD.bazel @@ -4,6 +4,9 @@ ray_cc_library( name = "fake_raylet_client", hdrs = ["raylet_client.h"], deps = [ + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/common/scheduling:scheduling_ids", "//src/ray/rpc:raylet_client_interface", ], ) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 4b4e048cafd7..3680819c04fe 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -16,6 +16,8 @@ #include "ray/common/scheduling/scheduling_ids.h" #include "ray/rpc/raylet/raylet_client_interface.h" +#include "src/ray/common/id.h" +#include "src/ray/common/status.h" namespace ray { diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 63c10cc49e43..f23c1e24ad6b 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -17,6 +17,7 @@ ray_cc_library( deps = [ ":asio", ":id", + ":placement_group", ":ray_object", ":task_common", "//src/ray/protobuf:autoscaler_cc_grpc", @@ -150,53 +151,94 @@ ray_cc_library( ], ) -# TODO(#55922): split out the scheduling dependencies into a separate bazel target -# and have lease and task bazel targets depend on this - ray_cc_library( - name = "task_common", + name = "bundle_spec", srcs = [ - "bundle_location_index.cc", "bundle_spec.cc", - "function_descriptor.cc", - "placement_group.cc", - "scheduling/cluster_resource_data.cc", - "scheduling/fixed_point.cc", - "scheduling/label_selector.cc", - "scheduling/resource_instance_set.cc", - "scheduling/resource_set.cc", - "scheduling/scheduling_ids.cc", - "task/task_spec.cc", ], hdrs = [ - "bundle_location_index.h", "bundle_spec.h", - "function_descriptor.h", + ], + deps = [ + ":grpc_util", + ":id", + "//src/ray/common/scheduling:cluster_resource_data", + "//src/ray/common/scheduling:label_selector", + "//src/ray/common/scheduling:placement_group_util", + "//src/ray/common/scheduling:scheduling_ids", + "//src/ray/protobuf:common_cc_proto", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_protobuf//:protobuf", + ], +) + +ray_cc_library( + name = "placement_group", + srcs = [ + "placement_group.cc", + ], + hdrs = [ "placement_group.h", - "scheduling/cluster_resource_data.h", - "scheduling/fixed_point.h", - "scheduling/label_selector.h", - "scheduling/resource_instance_set.h", - "scheduling/resource_set.h", - "scheduling/scheduling_ids.h", + ], + deps = [ + ":bundle_spec", + ":id", + "//src/ray/protobuf:common_cc_proto", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_protobuf//:protobuf", + ], +) + +ray_cc_library( + name = "function_descriptor", + srcs = ["function_descriptor.cc"], + hdrs = ["function_descriptor.h"], + deps = [ + ":grpc_util", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/util:logging", + "@com_google_absl//absl/strings:str_format", + ], +) + +ray_cc_library( + name = "bundle_location_index", + srcs = ["bundle_location_index.cc"], + hdrs = ["bundle_location_index.h"], + deps = [ + ":id", + ":placement_group", + "//src/ray/protobuf:gcs_cc_proto", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + +ray_cc_library( + name = "task_common", + srcs = [ + "task/task_spec.cc", + ], + hdrs = [ "task/task_common.h", "task/task_spec.h", "task/task_util.h", ], deps = [ ":event_stats", + ":function_descriptor", ":grpc_util", - ":id", ":ray_config", ":ray_object", ":runtime_env", + "//src/ray/common/scheduling:label_selector", + "//src/ray/common/scheduling:resource_set", + "//src/ray/common/scheduling:scheduling_class_util", "//src/ray/flatbuffers:node_manager_generated", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/strings", "@com_google_absl//absl/strings:str_format", - "@com_google_absl//absl/synchronization", ], ) @@ -210,8 +252,12 @@ ray_cc_library( "lease/lease_spec.h", ], deps = [ + ":function_descriptor", ":id", - ":task_common", + ":runtime_env", + "//src/ray/common/scheduling:label_selector", + "//src/ray/common/scheduling:resource_set", + "//src/ray/common/scheduling:scheduling_class_util", "//src/ray/protobuf:common_cc_proto", ], ) diff --git a/src/ray/common/bundle_spec.cc b/src/ray/common/bundle_spec.cc index 111765363b63..336f8906ab11 100644 --- a/src/ray/common/bundle_spec.cc +++ b/src/ray/common/bundle_spec.cc @@ -14,6 +14,10 @@ #include "ray/common/bundle_spec.h" +#include "ray/common/scheduling/label_selector.h" +#include "ray/common/scheduling/placement_group_util.h" +#include "ray/common/scheduling/scheduling_ids.h" + namespace ray { void BundleSpecification::ComputeResources() { @@ -142,59 +146,6 @@ std::string GetOriginalResourceNameFromWildcardResource(const std::string &resou } } -bool IsCPUOrPlacementGroupCPUResource(ResourceID resource_id) { - // Check whether the resource is CPU resource or CPU resource inside PG. - if (resource_id == ResourceID::CPU()) { - return true; - } - - auto possible_pg_resource = ParsePgFormattedResource(resource_id.Binary(), - /*for_wildcard_resource*/ true, - /*for_indexed_resource*/ true); - if (possible_pg_resource.has_value() && - possible_pg_resource->original_resource == ResourceID::CPU().Binary()) { - return true; - } - - return false; -} - -std::optional ParsePgFormattedResource( - const std::string &resource, bool for_wildcard_resource, bool for_indexed_resource) { - // Check if it is a wildcard pg resource. - PgFormattedResourceData data; - std::smatch match_groups; - RAY_CHECK(for_wildcard_resource || for_indexed_resource) - << "Either one of for_wildcard_resource or for_indexed_resource must be true"; - - if (for_wildcard_resource) { - static const std::regex wild_card_resource_pattern("^(.*)_group_([0-9a-f]+)$"); - - if (std::regex_match(resource, match_groups, wild_card_resource_pattern) && - match_groups.size() == 3) { - data.original_resource = match_groups[1].str(); - data.bundle_index = -1; - data.group_id = match_groups[2].str(); - return data; - } - } - - // Check if it is a regular pg resource. - if (for_indexed_resource) { - static const std::regex pg_resource_pattern("^(.+)_group_(\\d+)_([0-9a-zA-Z]+)"); - if (std::regex_match(resource, match_groups, pg_resource_pattern) && - match_groups.size() == 4) { - data.original_resource = match_groups[1].str(); - data.bundle_index = stoi(match_groups[2].str()); - data.group_id = match_groups[3].str(); - return data; - } - } - - // If it is not a wildcard or pg formatted resource, return nullopt. - return {}; -} - std::string GetDebugStringForBundles( const std::vector> &bundles) { std::ostringstream debug_info; diff --git a/src/ray/common/bundle_spec.h b/src/ray/common/bundle_spec.h index 63c9eea454b9..4b59d1895fe3 100644 --- a/src/ray/common/bundle_spec.h +++ b/src/ray/common/bundle_spec.h @@ -14,23 +14,22 @@ #pragma once -#include -#include +#include #include +#include #include -#include "absl/synchronization/mutex.h" -#include "ray/common/function_descriptor.h" +#include "absl/container/flat_hash_map.h" #include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/common/scheduling/cluster_resource_data.h" -#include "ray/common/task/task_common.h" +#include "src/ray/protobuf/common.pb.h" namespace ray { /// Arguments are the node ID to spill back to, the raylet's /// address and the raylet's port. -typedef std::function SpillbackBundleCallback; +using SpillbackBundleCallback = std::function; const std::string kGroupKeyword = "_group_"; const size_t kGroupKeywordSize = kGroupKeyword.size(); @@ -93,13 +92,6 @@ class BundleSpecification : public MessageWrapper { absl::flat_hash_map bundle_resource_labels_; }; -struct PgFormattedResourceData { - std::string original_resource; - /// -1 if it is a wildcard resource. - int64_t bundle_index; - std::string group_id; -}; - /// Format a placement group resource with provided parameters. /// /// \param original_resource_name The original resource name of the pg resource. @@ -126,23 +118,6 @@ std::string GetOriginalResourceName(const std::string &resource); // Returns "" if the resource is not a wildcard resource. std::string GetOriginalResourceNameFromWildcardResource(const std::string &resource); -/// Return whether the resource specified by the resource_id is a CPU resource -/// or CPU resource inside a placement group. -bool IsCPUOrPlacementGroupCPUResource(ResourceID resource_id); - -/// Parse the given resource and get the pg related information. -/// -/// \param resource name of the resource. -/// \param for_wildcard_resource if true, it parses wildcard pg resources. -/// E.g., [resource]_group_[pg_id] -/// \param for_indexed_resource if true, it parses indexed pg resources. -/// E.g., [resource]_group_[index]_[pg_id] -/// \return nullopt if it is not a pg resource. Otherwise, it returns the -/// struct with pg information parsed from the resource. -/// If a returned bundle index is -1, it means the resource is the wildcard resource. -std::optional ParsePgFormattedResource( - const std::string &resource, bool for_wildcard_resource, bool for_indexed_resource); - /// Generate debug information of given bundles. std::string GetDebugStringForBundles( const std::vector> &bundles); diff --git a/src/ray/common/function_descriptor.cc b/src/ray/common/function_descriptor.cc index 22a997932266..8df6c3e1ee1f 100644 --- a/src/ray/common/function_descriptor.cc +++ b/src/ray/common/function_descriptor.cc @@ -14,6 +14,8 @@ #include "ray/common/function_descriptor.h" +#include "ray/util/logging.h" + namespace ray { FunctionDescriptor FunctionDescriptorBuilder::Empty() { static ray::FunctionDescriptor empty = diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc index 967ce54b284a..7d84ebd92144 100644 --- a/src/ray/common/lease/lease_spec.cc +++ b/src/ray/common/lease/lease_spec.cc @@ -19,10 +19,12 @@ namespace ray { +using SchedulingClass = int; + LeaseSpecification::LeaseSpecification(const rpc::TaskSpec &task_spec) : MessageWrapper(std::make_shared()) { - RAY_CHECK(task_spec.type() == TaskType::NORMAL_TASK || - task_spec.type() == TaskType::ACTOR_CREATION_TASK); + RAY_CHECK(task_spec.type() == rpc::TaskType::NORMAL_TASK || + task_spec.type() == rpc::TaskType::ACTOR_CREATION_TASK); message_->set_job_id(task_spec.job_id()); message_->mutable_caller_address()->CopyFrom(task_spec.caller_address()); message_->mutable_required_resources()->insert(task_spec.required_resources().begin(), @@ -73,14 +75,14 @@ const rpc::Address &LeaseSpecification::CallerAddress() const { return message_->caller_address(); } -Language LeaseSpecification::GetLanguage() const { return message_->language(); } +rpc::Language LeaseSpecification::GetLanguage() const { return message_->language(); } bool LeaseSpecification::IsNormalTask() const { - return message_->type() == TaskType::NORMAL_TASK; + return message_->type() == rpc::TaskType::NORMAL_TASK; } bool LeaseSpecification::IsActorCreationTask() const { - return message_->type() == TaskType::ACTOR_CREATION_TASK; + return message_->type() == rpc::TaskType::ACTOR_CREATION_TASK; } bool LeaseSpecification::IsNodeAffinitySchedulingStrategy() const { @@ -321,7 +323,7 @@ void LeaseSpecification::ComputeResources() { auto sched_cls_desc = SchedulingClassDescriptor( resource_set, label_selector, function_descriptor, depth, GetSchedulingStrategy()); // Map the scheduling class descriptor to an integer for performance. - sched_cls_id_ = TaskSpecification::GetSchedulingClass(sched_cls_desc); + sched_cls_id_ = SchedulingClassToIds::GetSchedulingClass(sched_cls_desc); RAY_CHECK_GT(sched_cls_id_, 0); runtime_env_hash_ = CalculateRuntimeEnvHash(SerializedRuntimeEnv()); diff --git a/src/ray/common/lease/lease_spec.h b/src/ray/common/lease/lease_spec.h index 6a2c566b795f..ab507a4e5544 100644 --- a/src/ray/common/lease/lease_spec.h +++ b/src/ray/common/lease/lease_spec.h @@ -15,17 +15,15 @@ #pragma once #include -#include #include #include #include -#include "absl/types/optional.h" #include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/common/scheduling/label_selector.h" #include "ray/common/scheduling/resource_set.h" -#include "ray/common/task/task_spec.h" +#include "ray/common/scheduling/scheduling_class_util.h" #include "src/ray/protobuf/common.pb.h" namespace ray { @@ -75,7 +73,7 @@ class LeaseSpecification : public MessageWrapper { bool IsDetachedActor() const; std::string DebugString() const; int GetRuntimeEnvHash() const; - Language GetLanguage() const; + rpc::Language GetLanguage() const; bool HasRuntimeEnv() const; const rpc::RuntimeEnvInfo &RuntimeEnvInfo() const; const std::string &SerializedRuntimeEnv() const; diff --git a/src/ray/common/placement_group.cc b/src/ray/common/placement_group.cc index 15c1d825aa15..a0ec994088f3 100644 --- a/src/ray/common/placement_group.cc +++ b/src/ray/common/placement_group.cc @@ -17,7 +17,7 @@ namespace ray { void PlacementGroupSpecification::ConstructBundles() { for (int i = 0; i < message_->bundles_size(); i++) { - bundles_.push_back(BundleSpecification(message_->bundles(i))); + bundles_.emplace_back(message_->bundles(i)); } } diff --git a/src/ray/common/placement_group.h b/src/ray/common/placement_group.h index f053a917ac70..c3d0057d88b2 100644 --- a/src/ray/common/placement_group.h +++ b/src/ray/common/placement_group.h @@ -14,6 +14,7 @@ #pragma once +#include "absl/container/flat_hash_map.h" #include "ray/common/bundle_spec.h" #include "ray/common/grpc_util.h" #include "ray/common/id.h" @@ -40,14 +41,14 @@ class PlacementGroupSpecification : public MessageWrapper message) - : MessageWrapper(message) { + : MessageWrapper(std::move(message)) { ConstructBundles(); } /// Return the placement group id. diff --git a/src/ray/common/scheduling/BUILD.bazel b/src/ray/common/scheduling/BUILD.bazel new file mode 100644 index 000000000000..baac27e1096f --- /dev/null +++ b/src/ray/common/scheduling/BUILD.bazel @@ -0,0 +1,110 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "scheduling_ids", + srcs = ["scheduling_ids.cc"], + hdrs = ["scheduling_ids.h"], + deps = [ + "//src/ray/common:constants", + "//src/ray/common:ray_config", + "//src/ray/util:logging", + "@boost//:algorithm", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/strings", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "label_selector", + srcs = ["label_selector.cc"], + hdrs = ["label_selector.h"], + deps = [ + "//src/ray/protobuf:common_cc_proto", + "@com_google_absl//absl/container:flat_hash_set", + "@com_google_absl//absl/strings", + "@com_google_protobuf//:protobuf", + ], +) + +ray_cc_library( + name = "fixed_point", + srcs = ["fixed_point.cc"], + hdrs = ["fixed_point.h"], + deps = [ + "//src/ray/common:constants", + ], +) + +ray_cc_library( + name = "placement_group_util", + srcs = ["placement_group_util.cc"], + hdrs = ["placement_group_util.h"], + deps = [ + ":scheduling_ids", + "//src/ray/util:logging", + ], +) + +ray_cc_library( + name = "resource_set", + srcs = ["resource_set.cc"], + hdrs = ["resource_set.h"], + deps = [ + ":fixed_point", + ":scheduling_ids", + "@boost//:range", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + +ray_cc_library( + name = "cluster_resource_data", + srcs = ["cluster_resource_data.cc"], + hdrs = ["cluster_resource_data.h"], + deps = [ + ":fixed_point", + ":label_selector", + ":resource_instance_set", + ":resource_set", + ":scheduling_ids", + "//src/ray/util:logging", + "@boost//:range", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/time", + ], +) + +ray_cc_library( + name = "scheduling_class_util", + srcs = ["scheduling_class_util.cc"], + hdrs = ["scheduling_class_util.h"], + deps = [ + ":label_selector", + ":resource_set", + "//src/ray/common:function_descriptor", + "//src/ray/common:runtime_env", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/util:logging", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/synchronization", + "@com_google_protobuf//:protobuf", + ], +) + +ray_cc_library( + name = "resource_instance_set", + srcs = ["resource_instance_set.cc"], + hdrs = ["resource_instance_set.h"], + deps = [ + ":fixed_point", + ":placement_group_util", + ":resource_set", + ":scheduling_ids", + "//src/ray/util:container_util", + "//src/ray/util:logging", + "@com_google_absl//absl/container:flat_hash_map", + "@com_google_absl//absl/strings", + ], +) diff --git a/src/ray/common/scheduling/cluster_resource_data.cc b/src/ray/common/scheduling/cluster_resource_data.cc index 7555a329879e..4028de3ee4c8 100644 --- a/src/ray/common/scheduling/cluster_resource_data.cc +++ b/src/ray/common/scheduling/cluster_resource_data.cc @@ -17,9 +17,6 @@ #include #include -#include "ray/common/bundle_spec.h" -#include "ray/common/scheduling/resource_set.h" - namespace ray { /// Convert a map of resources to a ResourceRequest data structure. @@ -27,7 +24,7 @@ ResourceRequest ResourceMapToResourceRequest( const absl::flat_hash_map &resource_map, bool requires_object_store_memory) { ResourceRequest res({}, requires_object_store_memory); - for (auto entry : resource_map) { + for (const auto &entry : resource_map) { res.Set(ResourceID(entry.first), FixedPoint(entry.second)); } return res; @@ -116,7 +113,7 @@ bool NodeResources::IsFeasible(const ResourceRequest &resource_request) const { bool NodeResources::HasRequiredLabels(const LabelSelector &label_selector) const { // Check if node labels satisfy all label constraints - const auto constraints = label_selector.GetConstraints(); + const auto &constraints = label_selector.GetConstraints(); for (const auto &constraint : constraints) { if (!NodeLabelMatchesConstraint(constraint)) { return false; @@ -175,7 +172,7 @@ std::string NodeResources::DebugString() const { std::string NodeResources::DictString() const { return DebugString(); } -bool NodeResourceInstances::operator==(const NodeResourceInstances &other) { +bool NodeResourceInstances::operator==(const NodeResourceInstances &other) const { return this->total == other.total && this->available == other.available; } diff --git a/src/ray/common/scheduling/cluster_resource_data.h b/src/ray/common/scheduling/cluster_resource_data.h index cb3b4e8028a4..4ed7b77a79b5 100644 --- a/src/ray/common/scheduling/cluster_resource_data.h +++ b/src/ray/common/scheduling/cluster_resource_data.h @@ -15,15 +15,14 @@ #pragma once #include -#include +#include #include #include #include #include #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" -#include "ray/common/id.h" +#include "absl/time/time.h" #include "ray/common/scheduling/fixed_point.h" #include "ray/common/scheduling/label_selector.h" #include "ray/common/scheduling/resource_instance_set.h" @@ -376,7 +375,7 @@ class NodeResourceInstances { const NodeResourceInstanceSet &GetAvailableResourceInstances() const; const NodeResourceInstanceSet &GetTotalResourceInstances() const; /// Returns if this equals another node resources. - bool operator==(const NodeResourceInstances &other); + bool operator==(const NodeResourceInstances &other) const; /// Returns human-readable string for these resources. [[nodiscard]] std::string DebugString() const; }; diff --git a/src/ray/common/scheduling/label_selector.cc b/src/ray/common/scheduling/label_selector.cc index 4b27d25955c3..a2255549d080 100644 --- a/src/ray/common/scheduling/label_selector.cc +++ b/src/ray/common/scheduling/label_selector.cc @@ -18,7 +18,6 @@ #include #include "absl/strings/match.h" -#include "ray/util/logging.h" namespace ray { diff --git a/src/ray/common/scheduling/placement_group_util.cc b/src/ray/common/scheduling/placement_group_util.cc new file mode 100644 index 000000000000..7fab5a56efff --- /dev/null +++ b/src/ray/common/scheduling/placement_group_util.cc @@ -0,0 +1,77 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/scheduling/placement_group_util.h" + +#include +#include + +#include "ray/util/logging.h" + +namespace ray { + +bool IsCPUOrPlacementGroupCPUResource(ResourceID resource_id) { + // Check whether the resource is CPU resource or CPU resource inside PG. + if (resource_id == ResourceID::CPU()) { + return true; + } + + auto possible_pg_resource = ParsePgFormattedResource(resource_id.Binary(), + /*for_wildcard_resource*/ true, + /*for_indexed_resource*/ true); + if (possible_pg_resource.has_value() && + possible_pg_resource->original_resource == ResourceID::CPU().Binary()) { + return true; + } + + return false; +} + +std::optional ParsePgFormattedResource( + const std::string &resource, bool for_wildcard_resource, bool for_indexed_resource) { + // Check if it is a wildcard pg resource. + PgFormattedResourceData data; + std::smatch match_groups; + RAY_CHECK(for_wildcard_resource || for_indexed_resource) + << "Either one of for_wildcard_resource or for_indexed_resource must be true"; + + if (for_wildcard_resource) { + static const std::regex wild_card_resource_pattern("^(.*)_group_([0-9a-f]+)$"); + + if (std::regex_match(resource, match_groups, wild_card_resource_pattern) && + match_groups.size() == 3) { + data.original_resource = match_groups[1].str(); + data.bundle_index = -1; + data.group_id = match_groups[2].str(); + return data; + } + } + + // Check if it is a regular pg resource. + if (for_indexed_resource) { + static const std::regex pg_resource_pattern("^(.+)_group_(\\d+)_([0-9a-zA-Z]+)"); + if (std::regex_match(resource, match_groups, pg_resource_pattern) && + match_groups.size() == 4) { + data.original_resource = match_groups[1].str(); + data.bundle_index = stoi(match_groups[2].str()); + data.group_id = match_groups[3].str(); + return data; + } + } + + // If it is not a wildcard or pg formatted resource, return nullopt. + return std::nullopt; +} + +} // namespace ray diff --git a/src/ray/common/scheduling/placement_group_util.h b/src/ray/common/scheduling/placement_group_util.h new file mode 100644 index 000000000000..56c2137c5cd9 --- /dev/null +++ b/src/ray/common/scheduling/placement_group_util.h @@ -0,0 +1,50 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +#include "ray/common/scheduling/scheduling_ids.h" + +namespace ray { + +using scheduling::ResourceID; + +struct PgFormattedResourceData { + std::string original_resource; + /// -1 if it is a wildcard resource. + int64_t bundle_index; + std::string group_id; +}; + +/// Return whether the resource specified by the resource_id is a CPU resource +/// or CPU resource inside a placement group. +bool IsCPUOrPlacementGroupCPUResource(ResourceID resource_id); + +/// Parse the given resource and get the pg related information. +/// +/// \param resource name of the resource. +/// \param for_wildcard_resource if true, it parses wildcard pg resources. +/// E.g., [resource]_group_[pg_id] +/// \param for_indexed_resource if true, it parses indexed pg resources. +/// E.g., [resource]_group_[index]_[pg_id] +/// \return nullopt if it is not a pg resource. Otherwise, it returns the +/// struct with pg information parsed from the resource. +/// If a returned bundle index is -1, it means the resource is the wildcard resource. +std::optional ParsePgFormattedResource( + const std::string &resource, bool for_wildcard_resource, bool for_indexed_resource); + +} // namespace ray diff --git a/src/ray/common/scheduling/resource_instance_set.cc b/src/ray/common/scheduling/resource_instance_set.cc index ed07a13fe24b..e64d9b329aab 100644 --- a/src/ray/common/scheduling/resource_instance_set.cc +++ b/src/ray/common/scheduling/resource_instance_set.cc @@ -20,7 +20,7 @@ #include #include -#include "ray/common/bundle_spec.h" +#include "ray/common/scheduling/placement_group_util.h" #include "ray/util/container_util.h" #include "ray/util/logging.h" @@ -191,8 +191,7 @@ NodeResourceInstanceSet::TryAllocate(const ResourceSet &resource_demands) { if (data) { // Aggregate based on resource type ResourceID original_resource_id{data->original_resource}; - pg_resource_map[original_resource_id].push_back( - std::make_pair(resource_id, data.value())); + pg_resource_map[original_resource_id].emplace_back(resource_id, data.value()); } else { // Directly allocate the resources if the resource is not with a placement group auto allocation = TryAllocate(resource_id, demand); diff --git a/src/ray/common/scheduling/resource_instance_set.h b/src/ray/common/scheduling/resource_instance_set.h index 61ad263a59fb..f49b2d01fccf 100644 --- a/src/ray/common/scheduling/resource_instance_set.h +++ b/src/ray/common/scheduling/resource_instance_set.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include diff --git a/src/ray/common/scheduling/resource_set.cc b/src/ray/common/scheduling/resource_set.cc index b33e82e97907..871b6655ff2d 100644 --- a/src/ray/common/scheduling/resource_set.cc +++ b/src/ray/common/scheduling/resource_set.cc @@ -14,14 +14,11 @@ #include "ray/common/scheduling/resource_set.h" -#include #include #include #include #include -#include "ray/util/logging.h" - namespace ray { ResourceSet::ResourceSet( diff --git a/src/ray/common/scheduling/scheduling_class_util.cc b/src/ray/common/scheduling/scheduling_class_util.cc new file mode 100644 index 000000000000..0e1248fe569e --- /dev/null +++ b/src/ray/common/scheduling/scheduling_class_util.cc @@ -0,0 +1,169 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/scheduling/scheduling_class_util.h" + +#include +#include +#include + +#include "google/protobuf/util/message_differencer.h" +#include "ray/common/runtime_env_common.h" +#include "ray/util/logging.h" + +namespace ray { + +SchedulingClassDescriptor::SchedulingClassDescriptor( + ResourceSet rs, + LabelSelector ls, + FunctionDescriptor fd, + int64_t d, + rpc::SchedulingStrategy sched_strategy) + : resource_set(std::move(rs)), + label_selector(std::move(ls)), + function_descriptor(std::move(fd)), + depth(d), + scheduling_strategy(std::move(sched_strategy)) {} + +bool operator==(const ray::rpc::SchedulingStrategy &lhs, + const ray::rpc::SchedulingStrategy &rhs) { + if (lhs.scheduling_strategy_case() != rhs.scheduling_strategy_case()) { + return false; + } + + switch (lhs.scheduling_strategy_case()) { + case ray::rpc::SchedulingStrategy::kNodeAffinitySchedulingStrategy: { + return (lhs.node_affinity_scheduling_strategy().node_id() == + rhs.node_affinity_scheduling_strategy().node_id()) && + (lhs.node_affinity_scheduling_strategy().soft() == + rhs.node_affinity_scheduling_strategy().soft()) && + (lhs.node_affinity_scheduling_strategy().spill_on_unavailable() == + rhs.node_affinity_scheduling_strategy().spill_on_unavailable()) && + (lhs.node_affinity_scheduling_strategy().fail_on_unavailable() == + rhs.node_affinity_scheduling_strategy().fail_on_unavailable()); + } + case ray::rpc::SchedulingStrategy::kPlacementGroupSchedulingStrategy: { + return (lhs.placement_group_scheduling_strategy().placement_group_id() == + rhs.placement_group_scheduling_strategy().placement_group_id()) && + (lhs.placement_group_scheduling_strategy().placement_group_bundle_index() == + rhs.placement_group_scheduling_strategy().placement_group_bundle_index()) && + (lhs.placement_group_scheduling_strategy() + .placement_group_capture_child_tasks() == + rhs.placement_group_scheduling_strategy() + .placement_group_capture_child_tasks()); + } + case ray::rpc::SchedulingStrategy::kNodeLabelSchedulingStrategy: { + return google::protobuf::util::MessageDifferencer::Equivalent( + lhs.node_label_scheduling_strategy(), rhs.node_label_scheduling_strategy()); + } + default: + return true; + } +} + +// SchedulingClassDescriptor methods +bool SchedulingClassDescriptor::operator==(const SchedulingClassDescriptor &other) const { + return depth == other.depth && resource_set == other.resource_set && + label_selector == other.label_selector && + function_descriptor == other.function_descriptor && + scheduling_strategy == other.scheduling_strategy; +} + +std::string SchedulingClassDescriptor::DebugString() const { + std::stringstream buffer; + buffer << "{" + << "depth=" << depth << " " + << "function_descriptor=" << function_descriptor->ToString() << " " + << "scheduling_strategy=" << scheduling_strategy.DebugString() << " " + << "resource_set=" + << "{"; + for (const auto &pair : resource_set.GetResourceMap()) { + buffer << pair.first << " : " << pair.second << ", "; + } + buffer << "}"; + + buffer << "label_selector={"; + for (const auto &constraint : label_selector.GetConstraints()) { + buffer << constraint.GetLabelKey() << " " + << (constraint.GetOperator() == ray::LabelSelectorOperator::LABEL_IN ? "in" + : "!in") + << " ("; + for (const auto &val : constraint.GetLabelValues()) { + buffer << val << ", "; + } + buffer << "), "; + } + buffer << "}}"; + + return buffer.str(); +} + +std::string SchedulingClassDescriptor::ResourceSetStr() const { + std::stringstream buffer; + buffer << "{"; + for (const auto &pair : resource_set.GetResourceMap()) { + buffer << pair.first << " : " << pair.second << ", "; + } + buffer << "}"; + return buffer.str(); +} + +// Static member definitions +absl::Mutex SchedulingClassToIds::mutex_; +absl::flat_hash_map + SchedulingClassToIds::sched_cls_to_id_; +absl::flat_hash_map + SchedulingClassToIds::sched_id_to_cls_; +int SchedulingClassToIds::next_sched_id_; + +SchedulingClassDescriptor &SchedulingClassToIds::GetSchedulingClassDescriptor( + SchedulingClass id) { + absl::MutexLock lock(&mutex_); + auto it = sched_id_to_cls_.find(id); + RAY_CHECK(it != sched_id_to_cls_.end()) << "invalid id: " << id; + return it->second; +} + +SchedulingClass SchedulingClassToIds::GetSchedulingClass( + const SchedulingClassDescriptor &sched_cls) { + SchedulingClass sched_cls_id = 0; + absl::MutexLock lock(&mutex_); + auto it = sched_cls_to_id_.find(sched_cls); + if (it == sched_cls_to_id_.end()) { + sched_cls_id = ++next_sched_id_; + // TODO(ekl) we might want to try cleaning up task types in these cases + if (sched_cls_id > 100) { + RAY_LOG_EVERY_MS(WARNING, 1000) + << "More than " << sched_cls_id + << " types of tasks seen, this may reduce performance."; + } + sched_cls_to_id_[sched_cls] = sched_cls_id; + sched_id_to_cls_.emplace(sched_cls_id, sched_cls); + } else { + sched_cls_id = it->second; + } + return sched_cls_id; +} + +int CalculateRuntimeEnvHash(const std::string &serialized_runtime_env) { + if (IsRuntimeEnvEmpty(serialized_runtime_env)) { + // It's useful to have the same predetermined value for both unspecified and empty + // runtime envs. + return 0; + } + size_t hash = std::hash()(serialized_runtime_env); + return static_cast(hash); +} + +} // namespace ray diff --git a/src/ray/common/scheduling/scheduling_class_util.h b/src/ray/common/scheduling/scheduling_class_util.h new file mode 100644 index 000000000000..37b56736667d --- /dev/null +++ b/src/ray/common/scheduling/scheduling_class_util.h @@ -0,0 +1,170 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include +#include + +#include "absl/container/flat_hash_map.h" +#include "absl/synchronization/mutex.h" +#include "ray/common/function_descriptor.h" +#include "ray/common/scheduling/label_selector.h" +#include "ray/common/scheduling/resource_set.h" +#include "src/ray/protobuf/common.pb.h" + +namespace ray { + +bool operator==(const ray::rpc::SchedulingStrategy &lhs, + const ray::rpc::SchedulingStrategy &rhs); + +struct SchedulingClassDescriptor { + public: + explicit SchedulingClassDescriptor(ResourceSet rs, + LabelSelector ls, + FunctionDescriptor fd, + int64_t d, + rpc::SchedulingStrategy sched_strategy); + ResourceSet resource_set; + LabelSelector label_selector; + FunctionDescriptor function_descriptor; + int64_t depth; + rpc::SchedulingStrategy scheduling_strategy; + + bool operator==(const SchedulingClassDescriptor &other) const; + std::string DebugString() const; + std::string ResourceSetStr() const; +}; + +template +H AbslHashValue(H h, const SchedulingClassDescriptor &sched_cls) { + return H::combine(std::move(h), + sched_cls.resource_set, + sched_cls.function_descriptor->Hash(), + sched_cls.depth, + sched_cls.scheduling_strategy, + sched_cls.label_selector); +} + +using SchedulingClass = int; + +struct SchedulingClassToIds { + /// Below static fields could be mutated in `ComputeResources` concurrently due to + /// multi-threading, we need a mutex to protect it. + static absl::Mutex mutex_; + /// Keep global static id mappings for SchedulingClass for performance. + static absl::flat_hash_map sched_cls_to_id_ + ABSL_GUARDED_BY(mutex_); + static absl::flat_hash_map sched_id_to_cls_ + ABSL_GUARDED_BY(mutex_); + static int next_sched_id_ ABSL_GUARDED_BY(mutex_); + + /// Gets the scheduling class descriptor for the given id. + static SchedulingClassDescriptor &GetSchedulingClassDescriptor(SchedulingClass id); + + /// Gets or creates a scheduling class id for the given descriptor. + static SchedulingClass GetSchedulingClass(const SchedulingClassDescriptor &sched_cls); +}; + +// Get a Hash for the runtime environment string. +// "" and "{}" have the same hash. +// Other than that, only compare literal strings. i.e. '{"a": 1, "b": 2}' and '{"b": 2, +// "a": 1}' have different hashes. +int CalculateRuntimeEnvHash(const std::string &serialized_runtime_env); +} // namespace ray + +// Template specializations for std::hash +namespace std { + +template <> +struct hash { + size_t operator()(const ray::rpc::LabelOperator &label_operator) const { + size_t hash_value = std::hash()(label_operator.label_operator_case()); + if (label_operator.has_label_in()) { + for (const auto &value : label_operator.label_in().values()) { + hash_value ^= std::hash()(value); + } + } else if (label_operator.has_label_not_in()) { + for (const auto &value : label_operator.label_not_in().values()) { + hash_value ^= std::hash()(value); + } + } + return hash_value; + } +}; + +template <> +struct hash { + size_t operator()(const ray::rpc::LabelMatchExpression &expression) const { + size_t hash_val = std::hash()(expression.key()); + hash_val ^= std::hash()(expression.operator_()); + return hash_val; + } +}; + +template <> +struct hash { + size_t operator()(const ray::rpc::LabelMatchExpressions &expressions) const { + size_t hash_val = 0; + for (const auto &expression : expressions.expressions()) { + hash_val ^= std::hash()(expression); + } + return hash_val; + } +}; + +template <> +struct hash { + size_t operator()(const ray::rpc::SchedulingStrategy &scheduling_strategy) const { + size_t hash_val = std::hash()(scheduling_strategy.scheduling_strategy_case()); + if (scheduling_strategy.scheduling_strategy_case() == + ray::rpc::SchedulingStrategy::kNodeAffinitySchedulingStrategy) { + hash_val ^= std::hash()( + scheduling_strategy.node_affinity_scheduling_strategy().node_id()); + // soft returns a bool + hash_val ^= static_cast( + scheduling_strategy.node_affinity_scheduling_strategy().soft()); + hash_val ^= static_cast( + scheduling_strategy.node_affinity_scheduling_strategy().spill_on_unavailable()); + hash_val ^= static_cast( + scheduling_strategy.node_affinity_scheduling_strategy().fail_on_unavailable()); + } else if (scheduling_strategy.scheduling_strategy_case() == + ray::rpc::SchedulingStrategy::kPlacementGroupSchedulingStrategy) { + hash_val ^= std::hash()( + scheduling_strategy.placement_group_scheduling_strategy().placement_group_id()); + hash_val ^= scheduling_strategy.placement_group_scheduling_strategy() + .placement_group_bundle_index(); + // placement_group_capture_child_tasks returns a bool + hash_val ^= + static_cast(scheduling_strategy.placement_group_scheduling_strategy() + .placement_group_capture_child_tasks()); + } else if (scheduling_strategy.has_node_label_scheduling_strategy()) { + if (scheduling_strategy.node_label_scheduling_strategy().hard().expressions_size() > + 0) { + hash_val ^= std::hash()("hard"); + hash_val ^= std::hash()( + scheduling_strategy.node_label_scheduling_strategy().hard()); + } + if (scheduling_strategy.node_label_scheduling_strategy().soft().expressions_size() > + 0) { + hash_val ^= std::hash()("soft"); + hash_val ^= std::hash()( + scheduling_strategy.node_label_scheduling_strategy().soft()); + } + } + return hash_val; + } +}; + +} // namespace std diff --git a/src/ray/common/scheduling/scheduling_ids.cc b/src/ray/common/scheduling/scheduling_ids.cc index d1d128c82f02..87dbb86abdc5 100644 --- a/src/ray/common/scheduling/scheduling_ids.cc +++ b/src/ray/common/scheduling/scheduling_ids.cc @@ -14,9 +14,13 @@ #include "ray/common/scheduling/scheduling_ids.h" +#include #include #include +#include "ray/common/ray_config.h" +#include "ray/util/logging.h" + namespace ray { int64_t StringIdMap::Get(const std::string &string_id) const { diff --git a/src/ray/common/scheduling/scheduling_ids.h b/src/ray/common/scheduling/scheduling_ids.h index e054bc5c9c60..ce97202130cc 100644 --- a/src/ray/common/scheduling/scheduling_ids.h +++ b/src/ray/common/scheduling/scheduling_ids.h @@ -14,17 +14,15 @@ #pragma once -#include #include #include #include #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" +#include "absl/strings/match.h" #include "absl/synchronization/mutex.h" #include "ray/common/constants.h" -#include "ray/common/ray_config.h" -#include "ray/util/logging.h" namespace ray { diff --git a/src/ray/common/scheduling/tests/BUILD.bazel b/src/ray/common/scheduling/tests/BUILD.bazel new file mode 100644 index 000000000000..2833b8227f76 --- /dev/null +++ b/src/ray/common/scheduling/tests/BUILD.bazel @@ -0,0 +1,67 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "resource_request_test", + size = "small", + srcs = [ + "resource_request_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common/scheduling:cluster_resource_data", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "resource_set_test", + size = "small", + srcs = [ + "resource_set_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common/scheduling:resource_set", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "resource_instance_set_test", + size = "small", + srcs = [ + "resource_instance_set_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common/scheduling:resource_instance_set", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "scheduling_ids_test", + size = "small", + srcs = [ + "scheduling_ids_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common:ray_config", + "//src/ray/common/scheduling:scheduling_ids", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "label_selector_test", + size = "small", + srcs = [ + "label_selector_test.cc", + ], + tags = ["team:core"], + deps = [ + "//src/ray/common/scheduling:label_selector", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/tests/label_selector_test.cc b/src/ray/common/scheduling/tests/label_selector_test.cc similarity index 100% rename from src/ray/common/tests/label_selector_test.cc rename to src/ray/common/scheduling/tests/label_selector_test.cc diff --git a/src/ray/common/tests/resource_instance_set_test.cc b/src/ray/common/scheduling/tests/resource_instance_set_test.cc similarity index 100% rename from src/ray/common/tests/resource_instance_set_test.cc rename to src/ray/common/scheduling/tests/resource_instance_set_test.cc diff --git a/src/ray/common/tests/resource_request_test.cc b/src/ray/common/scheduling/tests/resource_request_test.cc similarity index 100% rename from src/ray/common/tests/resource_request_test.cc rename to src/ray/common/scheduling/tests/resource_request_test.cc diff --git a/src/ray/common/tests/resource_set_test.cc b/src/ray/common/scheduling/tests/resource_set_test.cc similarity index 100% rename from src/ray/common/tests/resource_set_test.cc rename to src/ray/common/scheduling/tests/resource_set_test.cc diff --git a/src/ray/common/tests/scheduling_ids_test.cc b/src/ray/common/scheduling/tests/scheduling_ids_test.cc similarity index 97% rename from src/ray/common/tests/scheduling_ids_test.cc rename to src/ray/common/scheduling/tests/scheduling_ids_test.cc index 762436910b26..eabd09d3fe54 100644 --- a/src/ray/common/tests/scheduling_ids_test.cc +++ b/src/ray/common/scheduling/tests/scheduling_ids_test.cc @@ -18,6 +18,7 @@ #include #include "gtest/gtest.h" +#include "ray/common/ray_config.h" namespace ray { @@ -27,7 +28,7 @@ TEST_F(SchedulingIDsTest, BasicTest) { std::vector string_ids = {"hello", "whaaat", "yes"}; std::vector node_ids; for (auto &string_id : string_ids) { - node_ids.emplace_back(scheduling::NodeID(string_id)); + node_ids.emplace_back(string_id); ASSERT_EQ(node_ids.back().Binary(), string_id); } ASSERT_EQ(node_ids[0], scheduling::NodeID(string_ids[0])); diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index dd4ea7cf7e93..94c1199a7d27 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -28,42 +28,6 @@ namespace ray { -absl::Mutex TaskSpecification::mutex_; -absl::flat_hash_map - TaskSpecification::sched_cls_to_id_; -absl::flat_hash_map - TaskSpecification::sched_id_to_cls_; -int TaskSpecification::next_sched_id_; - -SchedulingClassDescriptor &TaskSpecification::GetSchedulingClassDescriptor( - SchedulingClass id) { - absl::MutexLock lock(&mutex_); - auto it = sched_id_to_cls_.find(id); - RAY_CHECK(it != sched_id_to_cls_.end()) << "invalid id: " << id; - return it->second; -} - -SchedulingClass TaskSpecification::GetSchedulingClass( - const SchedulingClassDescriptor &sched_cls) { - SchedulingClass sched_cls_id; - absl::MutexLock lock(&mutex_); - auto it = sched_cls_to_id_.find(sched_cls); - if (it == sched_cls_to_id_.end()) { - sched_cls_id = ++next_sched_id_; - // TODO(ekl) we might want to try cleaning up task types in these cases - if (sched_cls_id > 100) { - RAY_LOG_EVERY_MS(WARNING, 1000) - << "More than " << sched_cls_id - << " types of tasks seen, this may reduce performance."; - } - sched_cls_to_id_[sched_cls] = sched_cls_id; - sched_id_to_cls_.emplace(sched_cls_id, sched_cls); - } else { - sched_cls_id = it->second; - } - return sched_cls_id; -} - const BundleID TaskSpecification::PlacementGroupBundleId() const { if (message_->scheduling_strategy().scheduling_strategy_case() == rpc::SchedulingStrategy::SchedulingStrategyCase:: @@ -137,7 +101,7 @@ void TaskSpecification::ComputeResources() { depth, GetSchedulingStrategy()); // Map the scheduling class descriptor to an integer for performance. - sched_cls_id_ = GetSchedulingClass(sched_cls_desc); + sched_cls_id_ = SchedulingClassToIds::GetSchedulingClass(sched_cls_desc); } runtime_env_hash_ = CalculateRuntimeEnvHash(SerializedRuntimeEnv()); @@ -666,16 +630,6 @@ std::string TaskSpecification::CallSiteString() const { return stream.str(); } -int CalculateRuntimeEnvHash(const std::string &serialized_runtime_env) { - if (IsRuntimeEnvEmpty(serialized_runtime_env)) { - // It's useful to have the same predetermined value for both unspecified and empty - // runtime envs. - return 0; - } - size_t hash = std::hash()(serialized_runtime_env); - return static_cast(hash); -} - std::vector TaskSpecification::ConcurrencyGroups() const { RAY_CHECK(IsActorCreationTask()); std::vector concurrency_groups; @@ -692,10 +646,10 @@ std::vector TaskSpecification::ConcurrencyGroups() const { curr_group_message.function_descriptors(j))); } - concurrency_groups.push_back( - {std::string{curr_group_message.name()}, - static_cast(curr_group_message.max_concurrency()), - function_descriptors}); + concurrency_groups.emplace_back( + std::string{curr_group_message.name()}, + static_cast(curr_group_message.max_concurrency()), + function_descriptors); } return concurrency_groups; diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 18ad83f80a44..9fab88cc7438 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -19,220 +19,21 @@ #include #include #include -#include #include #include -#include "absl/hash/hash.h" -#include "absl/synchronization/mutex.h" #include "ray/common/function_descriptor.h" #include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/common/scheduling/label_selector.h" #include "ray/common/scheduling/resource_set.h" +#include "ray/common/scheduling/scheduling_class_util.h" #include "ray/common/task/task_common.h" extern "C" { #include "ray/thirdparty/sha256.h" } -namespace ray { -inline bool operator==(const ray::rpc::SchedulingStrategy &lhs, - const ray::rpc::SchedulingStrategy &rhs) { - if (lhs.scheduling_strategy_case() != rhs.scheduling_strategy_case()) { - return false; - } - - switch (lhs.scheduling_strategy_case()) { - case ray::rpc::SchedulingStrategy::kNodeAffinitySchedulingStrategy: { - return (lhs.node_affinity_scheduling_strategy().node_id() == - rhs.node_affinity_scheduling_strategy().node_id()) && - (lhs.node_affinity_scheduling_strategy().soft() == - rhs.node_affinity_scheduling_strategy().soft()) && - (lhs.node_affinity_scheduling_strategy().spill_on_unavailable() == - rhs.node_affinity_scheduling_strategy().spill_on_unavailable()) && - (lhs.node_affinity_scheduling_strategy().fail_on_unavailable() == - rhs.node_affinity_scheduling_strategy().fail_on_unavailable()); - } - case ray::rpc::SchedulingStrategy::kPlacementGroupSchedulingStrategy: { - return (lhs.placement_group_scheduling_strategy().placement_group_id() == - rhs.placement_group_scheduling_strategy().placement_group_id()) && - (lhs.placement_group_scheduling_strategy().placement_group_bundle_index() == - rhs.placement_group_scheduling_strategy().placement_group_bundle_index()) && - (lhs.placement_group_scheduling_strategy() - .placement_group_capture_child_tasks() == - rhs.placement_group_scheduling_strategy() - .placement_group_capture_child_tasks()); - } - case ray::rpc::SchedulingStrategy::kNodeLabelSchedulingStrategy: { - return google::protobuf::util::MessageDifferencer::Equivalent( - lhs.node_label_scheduling_strategy(), rhs.node_label_scheduling_strategy()); - } - default: - return true; - } -} - -typedef int SchedulingClass; - -struct SchedulingClassDescriptor { - public: - explicit SchedulingClassDescriptor(ResourceSet rs, - LabelSelector ls, - FunctionDescriptor fd, - int64_t d, - rpc::SchedulingStrategy sched_strategy) - : resource_set(std::move(rs)), - label_selector(std::move(ls)), - function_descriptor(std::move(fd)), - depth(d), - scheduling_strategy(std::move(sched_strategy)) {} - ResourceSet resource_set; - LabelSelector label_selector; - FunctionDescriptor function_descriptor; - int64_t depth; - rpc::SchedulingStrategy scheduling_strategy; - - bool operator==(const SchedulingClassDescriptor &other) const { - return depth == other.depth && resource_set == other.resource_set && - label_selector == other.label_selector && - function_descriptor == other.function_descriptor && - scheduling_strategy == other.scheduling_strategy; - } - - std::string DebugString() const { - std::stringstream buffer; - buffer << "{" - << "depth=" << depth << " " - << "function_descriptor=" << function_descriptor->ToString() << " " - << "scheduling_strategy=" << scheduling_strategy.DebugString() << " " - << "resource_set=" - << "{"; - for (const auto &pair : resource_set.GetResourceMap()) { - buffer << pair.first << " : " << pair.second << ", "; - } - buffer << "}"; - - buffer << "label_selector={"; - for (const auto &constraint : label_selector.GetConstraints()) { - buffer << constraint.GetLabelKey() << " " - << (constraint.GetOperator() == ray::LabelSelectorOperator::LABEL_IN ? "in" - : "!in") - << " ("; - for (const auto &val : constraint.GetLabelValues()) { - buffer << val << ", "; - } - buffer << "), "; - } - buffer << "}}"; - - return buffer.str(); - } - - std::string ResourceSetStr() const { - std::stringstream buffer; - buffer << "{"; - for (const auto &pair : resource_set.GetResourceMap()) { - buffer << pair.first << " : " << pair.second << ", "; - } - buffer << "}"; - return buffer.str(); - } -}; - -template -H AbslHashValue(H h, const SchedulingClassDescriptor &sched_cls) { - return H::combine(std::move(h), - sched_cls.resource_set, - sched_cls.function_descriptor->Hash(), - sched_cls.depth, - sched_cls.scheduling_strategy, - sched_cls.label_selector); -} -} // namespace ray - -namespace std { -template <> -struct hash { - size_t operator()(const ray::rpc::LabelOperator &label_operator) const { - size_t hash_value = std::hash()(label_operator.label_operator_case()); - if (label_operator.has_label_in()) { - for (const auto &value : label_operator.label_in().values()) { - hash_value ^= std::hash()(value); - } - } else if (label_operator.has_label_not_in()) { - for (const auto &value : label_operator.label_not_in().values()) { - hash_value ^= std::hash()(value); - } - } - return hash_value; - } -}; - -template <> -struct hash { - size_t operator()(const ray::rpc::LabelMatchExpression &expression) const { - size_t hash_val = std::hash()(expression.key()); - hash_val ^= std::hash()(expression.operator_()); - return hash_val; - } -}; - -template <> -struct hash { - size_t operator()(const ray::rpc::LabelMatchExpressions &expressions) const { - size_t hash_val = 0; - for (const auto &expression : expressions.expressions()) { - hash_val ^= std::hash()(expression); - } - return hash_val; - } -}; - -template <> -struct hash { - size_t operator()(const ray::rpc::SchedulingStrategy &scheduling_strategy) const { - size_t hash_val = std::hash()(scheduling_strategy.scheduling_strategy_case()); - if (scheduling_strategy.scheduling_strategy_case() == - ray::rpc::SchedulingStrategy::kNodeAffinitySchedulingStrategy) { - hash_val ^= std::hash()( - scheduling_strategy.node_affinity_scheduling_strategy().node_id()); - // soft returns a bool - hash_val ^= static_cast( - scheduling_strategy.node_affinity_scheduling_strategy().soft()); - hash_val ^= static_cast( - scheduling_strategy.node_affinity_scheduling_strategy().spill_on_unavailable()); - hash_val ^= static_cast( - scheduling_strategy.node_affinity_scheduling_strategy().fail_on_unavailable()); - } else if (scheduling_strategy.scheduling_strategy_case() == - ray::rpc::SchedulingStrategy::kPlacementGroupSchedulingStrategy) { - hash_val ^= std::hash()( - scheduling_strategy.placement_group_scheduling_strategy().placement_group_id()); - hash_val ^= scheduling_strategy.placement_group_scheduling_strategy() - .placement_group_bundle_index(); - // placement_group_capture_child_tasks returns a bool - hash_val ^= - static_cast(scheduling_strategy.placement_group_scheduling_strategy() - .placement_group_capture_child_tasks()); - } else if (scheduling_strategy.has_node_label_scheduling_strategy()) { - if (scheduling_strategy.node_label_scheduling_strategy().hard().expressions_size() > - 0) { - hash_val ^= std::hash()("hard"); - hash_val ^= std::hash()( - scheduling_strategy.node_label_scheduling_strategy().hard()); - } - if (scheduling_strategy.node_label_scheduling_strategy().soft().expressions_size() > - 0) { - hash_val ^= std::hash()("soft"); - hash_val ^= std::hash()( - scheduling_strategy.node_label_scheduling_strategy().soft()); - } - } - return hash_val; - } -}; -} // namespace std - namespace ray { /// ConcurrencyGroup is a group of actor methods that shares @@ -579,21 +380,6 @@ class TaskSpecification : public MessageWrapper { // Field storing label selector for scheduling Task on a node. Initialized in constuctor // in ComputeResources() call. std::shared_ptr label_selector_; - /// Below static fields could be mutated in `ComputeResources` concurrently due to - /// multi-threading, we need a mutex to protect it. - static absl::Mutex mutex_; - /// Keep global static id mappings for SchedulingClass for performance. - static absl::flat_hash_map sched_cls_to_id_ - ABSL_GUARDED_BY(mutex_); - static absl::flat_hash_map sched_id_to_cls_ - ABSL_GUARDED_BY(mutex_); - static int next_sched_id_ ABSL_GUARDED_BY(mutex_); }; -// Get a Hash for the runtime environment string. -// "" and "{}" have the same hash. -// Other than that, only compare literal strings. i.e. '{"a": 1, "b": 2}' and '{"b": 2, -// "a": 1}' have different hashes. -int CalculateRuntimeEnvHash(const std::string &serialized_runtime_env); - } // namespace ray diff --git a/src/ray/common/tests/BUILD.bazel b/src/ray/common/tests/BUILD.bazel index 4822452c0d8b..840a4a2b4f5a 100644 --- a/src/ray/common/tests/BUILD.bazel +++ b/src/ray/common/tests/BUILD.bazel @@ -1,44 +1,5 @@ load("//bazel:ray.bzl", "ray_cc_binary", "ray_cc_library", "ray_cc_test") -ray_cc_test( - name = "resource_request_test", - size = "small", - srcs = [ - "resource_request_test.cc", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:task_common", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "resource_set_test", - size = "small", - srcs = [ - "resource_set_test.cc", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:task_common", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "resource_instance_set_test", - size = "small", - srcs = [ - "resource_instance_set_test.cc", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:task_common", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "ray_syncer_test", srcs = ["ray_syncer_test.cc"], @@ -132,6 +93,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:task_common", + "//src/ray/common/scheduling:scheduling_class_util", "@com_google_googletest//:gtest_main", ], ) @@ -143,7 +105,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//src/ray/common:task_common", + "//src/ray/common:bundle_location_index", "@com_google_googletest//:gtest_main", ], ) @@ -204,19 +166,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "scheduling_ids_test", - size = "small", - srcs = [ - "scheduling_ids_test.cc", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:task_common", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "grpc_util_test", size = "small", @@ -231,19 +180,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "label_selector_test", - size = "small", - srcs = [ - "label_selector_test.cc", - ], - tags = ["team:core"], - deps = [ - "//src/ray/common:task_common", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "source_location_test", size = "small", diff --git a/src/ray/common/tests/task_spec_test.cc b/src/ray/common/tests/task_spec_test.cc index a3b0cb5e05d1..bb8a64636ffe 100644 --- a/src/ray/common/tests/task_spec_test.cc +++ b/src/ray/common/tests/task_spec_test.cc @@ -66,62 +66,62 @@ TEST(TaskSpecTest, TestSchedulingClassDescriptor) { ASSERT_TRUE(descriptor1 == descriptor1); ASSERT_TRUE(absl::Hash()(descriptor1) == absl::Hash()(descriptor1)); - ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor1) == - TaskSpecification::GetSchedulingClass(descriptor1)); + ASSERT_TRUE(SchedulingClassToIds::GetSchedulingClass(descriptor1) == + SchedulingClassToIds::GetSchedulingClass(descriptor1)); ASSERT_FALSE(descriptor1 == descriptor2); ASSERT_FALSE(absl::Hash()(descriptor1) == absl::Hash()(descriptor2)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == - TaskSpecification::GetSchedulingClass(descriptor2)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor1) == + SchedulingClassToIds::GetSchedulingClass(descriptor2)); ASSERT_FALSE(descriptor1 == descriptor3); ASSERT_FALSE(absl::Hash()(descriptor1) == absl::Hash()(descriptor3)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == - TaskSpecification::GetSchedulingClass(descriptor3)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor1) == + SchedulingClassToIds::GetSchedulingClass(descriptor3)); ASSERT_FALSE(descriptor1 == descriptor4); ASSERT_FALSE(absl::Hash()(descriptor1) == absl::Hash()(descriptor4)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor1) == - TaskSpecification::GetSchedulingClass(descriptor4)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor1) == + SchedulingClassToIds::GetSchedulingClass(descriptor4)); ASSERT_FALSE(descriptor4 == descriptor5); ASSERT_FALSE(absl::Hash()(descriptor4) == absl::Hash()(descriptor5)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor4) == - TaskSpecification::GetSchedulingClass(descriptor5)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor4) == + SchedulingClassToIds::GetSchedulingClass(descriptor5)); ASSERT_TRUE(descriptor5 == descriptor6); ASSERT_TRUE(absl::Hash()(descriptor5) == absl::Hash()(descriptor6)); - ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor5) == - TaskSpecification::GetSchedulingClass(descriptor6)); + ASSERT_TRUE(SchedulingClassToIds::GetSchedulingClass(descriptor5) == + SchedulingClassToIds::GetSchedulingClass(descriptor6)); ASSERT_FALSE(descriptor6 == descriptor10); ASSERT_FALSE(absl::Hash()(descriptor6) == absl::Hash()(descriptor10)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor6) == - TaskSpecification::GetSchedulingClass(descriptor10)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor6) == + SchedulingClassToIds::GetSchedulingClass(descriptor10)); ASSERT_FALSE(descriptor6 == descriptor7); ASSERT_FALSE(absl::Hash()(descriptor6) == absl::Hash()(descriptor7)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor6) == - TaskSpecification::GetSchedulingClass(descriptor7)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor6) == + SchedulingClassToIds::GetSchedulingClass(descriptor7)); ASSERT_FALSE(descriptor7 == descriptor8); ASSERT_FALSE(absl::Hash()(descriptor7) == absl::Hash()(descriptor8)); - ASSERT_FALSE(TaskSpecification::GetSchedulingClass(descriptor7) == - TaskSpecification::GetSchedulingClass(descriptor8)); + ASSERT_FALSE(SchedulingClassToIds::GetSchedulingClass(descriptor7) == + SchedulingClassToIds::GetSchedulingClass(descriptor8)); ASSERT_TRUE(descriptor7 == descriptor9); ASSERT_TRUE(absl::Hash()(descriptor7) == absl::Hash()(descriptor9)); - ASSERT_TRUE(TaskSpecification::GetSchedulingClass(descriptor7) == - TaskSpecification::GetSchedulingClass(descriptor9)); + ASSERT_TRUE(SchedulingClassToIds::GetSchedulingClass(descriptor7) == + SchedulingClassToIds::GetSchedulingClass(descriptor9)); } TEST(TaskSpecTest, TestActorSchedulingClass) { diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index e2c3ec5b77d9..f62d6bed3ace 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -105,7 +105,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", - "//src/ray/common:task_common", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:process", ], @@ -314,7 +313,6 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:ray_object", "//src/ray/common:status", - "//src/ray/common:task_common", "//src/ray/object_manager:object_manager_common", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/util:time", @@ -395,7 +393,6 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/common:task_common", "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:common_cc_proto", diff --git a/src/ray/core_worker/common.cc b/src/ray/core_worker/common.cc index a28a54053051..e372c925b9bd 100644 --- a/src/ray/core_worker/common.cc +++ b/src/ray/core_worker/common.cc @@ -17,7 +17,6 @@ #include #include #include -#include #include "ray/util/process.h" diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index afd98d20a568..3e0bd5c06379 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -22,7 +22,6 @@ #include "ray/common/id.h" #include "ray/common/ray_object.h" -#include "ray/common/scheduling/label_selector.h" #include "ray/common/task/task_spec.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 5e139e9758e6..c91cc81a3a2e 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -25,7 +25,6 @@ #include "ray/common/ray_object.h" #include "ray/common/status.h" #include "ray/common/task/task_common.h" -#include "ray/common/task/task_spec.h" #include "ray/core_worker/common.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/util/process.h" diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index 0da5aac4437a..448dc5e6f40c 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -25,7 +25,6 @@ #include "ray/common/id.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "ray/core_worker/common.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" #include "ray/ipc/raylet_ipc_client_interface.h" diff --git a/src/ray/core_worker/task_execution/BUILD.bazel b/src/ray/core_worker/task_execution/BUILD.bazel index 6f432bd339ca..49b0dc755cb4 100644 --- a/src/ray/core_worker/task_execution/BUILD.bazel +++ b/src/ray/core_worker/task_execution/BUILD.bazel @@ -113,7 +113,6 @@ ray_cc_library( "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", ], ) @@ -142,7 +141,5 @@ ray_cc_library( "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/synchronization", ], ) diff --git a/src/ray/core_worker/task_execution/concurrency_group_manager.cc b/src/ray/core_worker/task_execution/concurrency_group_manager.cc index 12f0dfe63232..ce58694d06c4 100644 --- a/src/ray/core_worker/task_execution/concurrency_group_manager.cc +++ b/src/ray/core_worker/task_execution/concurrency_group_manager.cc @@ -15,7 +15,6 @@ #include "ray/core_worker/task_execution/concurrency_group_manager.h" #include -#include #include #include #include diff --git a/src/ray/core_worker/task_execution/concurrency_group_manager.h b/src/ray/core_worker/task_execution/concurrency_group_manager.h index c976523a56b4..4aa3bd16c6a1 100644 --- a/src/ray/core_worker/task_execution/concurrency_group_manager.h +++ b/src/ray/core_worker/task_execution/concurrency_group_manager.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include #include diff --git a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h index 24ef6e1d505c..46d144e5fe97 100644 --- a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h @@ -20,7 +20,6 @@ #include "absl/base/thread_annotations.h" #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" #include "ray/common/task/task_spec.h" diff --git a/src/ray/core_worker/task_execution/task_receiver.h b/src/ray/core_worker/task_execution/task_receiver.h index 9ae7ce3c4f7b..157e597fd8e7 100644 --- a/src/ray/core_worker/task_execution/task_receiver.h +++ b/src/ray/core_worker/task_execution/task_receiver.h @@ -14,19 +14,13 @@ #pragma once -#include #include -#include -#include #include #include #include #include -#include "absl/base/thread_annotations.h" #include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" -#include "absl/synchronization/mutex.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/ray_object.h" diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 6adf3162fa47..6e8df62c414f 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -71,7 +71,6 @@ ray_cc_test( "//:ray_mock", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", - "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:object_recovery_manager", @@ -134,13 +133,11 @@ ray_cc_test( ], deps = [ "//:ray_mock", - "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", - "@com_google_absl//absl/synchronization", "@com_google_absl//absl/types:optional", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -187,7 +184,6 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_manager", "//src/ray/gcs/gcs_client:gcs_client_lib", diff --git a/src/ray/core_worker/tests/actor_manager_test.cc b/src/ray/core_worker/tests/actor_manager_test.cc index cd5d28bb51d4..6acc46473a0f 100644 --- a/src/ray/core_worker/tests/actor_manager_test.cc +++ b/src/ray/core_worker/tests/actor_manager_test.cc @@ -21,7 +21,6 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/reference_count.h" -#include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_client/gcs_client.h" diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 814e886411c8..68ecc7bedf6d 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -26,8 +26,6 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/pubsub/publisher.h" -#include "ray/common/task/task_spec.h" -#include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/rpc/raylet/raylet_client_interface.h" diff --git a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc index 066ad5e4c965..5162892ae292 100644 --- a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc @@ -21,13 +21,10 @@ #include #include -#include "absl/base/thread_annotations.h" -#include "absl/synchronization/mutex.h" #include "absl/types/optional.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/gcs/gcs_client/gcs_client.h" -#include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/util/event.h" diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs/gcs_client/BUILD.bazel index bd6dabcc8ae7..ce1b1e861ff9 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs/gcs_client/BUILD.bazel @@ -13,6 +13,7 @@ ray_cc_library( deps = [ "//src/ray/common:asio", "//src/ray/common:id", + "//src/ray/common:placement_group", "//src/ray/common:protobuf_utils", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/protobuf:usage_cc_proto", diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index f34da0076caf..35fb38ae328f 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -101,12 +101,10 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:ray_syncer", - "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/raylet/scheduling:cluster_resource_manager", - "//src/ray/stats:stats_metric", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", ], @@ -264,8 +262,8 @@ ray_cc_library( srcs = ["gcs_placement_group.cc"], hdrs = ["gcs_placement_group.h"], deps = [ + "//src/ray/common:bundle_spec", "//src/ray/common:id", - "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", @@ -283,7 +281,6 @@ ray_cc_library( ":gcs_table_storage", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/common:task_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:scheduling_context", "//src/ray/rpc:raylet_client_interface", @@ -298,19 +295,20 @@ ray_cc_library( hdrs = ["gcs_placement_group_manager.h"], deps = [ ":gcs_init_data", - ":gcs_node_manager", ":gcs_placement_group", ":gcs_placement_group_scheduler", ":gcs_resource_manager", ":gcs_table_storage", ":gcs_usage_stats_client", + ":grpc_service_interfaces", "//src/ray/common:asio", + "//src/ray/common:bundle_spec", "//src/ray/common:id", - "//src/ray/common:task_common", + "//src/ray/common:ray_config", "//src/ray/protobuf:gcs_cc_proto", + "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", - "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -361,6 +359,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:lease", "//src/ray/common:task_common", + "//src/ray/common/scheduling:cluster_resource_data", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/protobuf:export_event_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", @@ -385,11 +384,10 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", - "//src/ray/common:task_common", - "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/rpc:core_worker_client", "//src/ray/rpc:raylet_client_interface", + "//src/ray/rpc:raylet_client_pool", "//src/ray/util:logging", "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h index bc12aa833b57..1def8f69db62 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_actor_scheduler.h @@ -16,7 +16,6 @@ #include #include -#include #include #include #include @@ -25,17 +24,13 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/common/scheduling/scheduling_ids.h" -#include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_server/gcs_actor.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" -#include "src/ray/protobuf/gcs_service.pb.h" namespace ray { using raylet::ClusterLeaseManager; diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc index 6580f5872327..1a67ce39518b 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc @@ -20,8 +20,7 @@ #include #include "ray/common/asio/asio_util.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/protobuf_utils.h" +#include "ray/common/bundle_spec.h" #include "ray/common/ray_config.h" #include "ray/stats/metric_defs.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.h b/src/ray/gcs/gcs_server/gcs_placement_group_manager.h index 24130ccc7df0..b9a7450fddde 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_manager.h @@ -24,11 +24,8 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/bundle_spec.h" #include "ray/common/id.h" -#include "ray/common/task/task_spec.h" #include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_placement_group.h" #include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_server/gcs_resource_manager.h" @@ -37,7 +34,6 @@ #include "ray/gcs/gcs_server/usage_stats_client.h" #include "ray/util/counter_map.h" #include "ray/util/exponential_backoff.h" -#include "ray/util/time.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h index 1f074da8c0a4..a031c594c306 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h @@ -24,7 +24,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_location_index.h" #include "ray/common/id.h" -#include "ray/common/scheduling/scheduling_ids.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/gcs_placement_group.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.h b/src/ray/gcs/gcs_server/gcs_resource_manager.h index 96242cb291a7..78ced7dd01ab 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/ray/gcs/gcs_server/gcs_resource_manager.h @@ -23,13 +23,11 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" -#include "ray/common/scheduling/cluster_resource_data.h" #include "ray/gcs/gcs_server/gcs_init_data.h" #include "ray/gcs/gcs_server/gcs_node_manager.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" -#include "ray/stats/metric_defs.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/ray_syncer.pb.h" diff --git a/src/ray/internal/internal.h b/src/ray/internal/internal.h index 20c89a4cc6c6..e9353150d998 100644 --- a/src/ray/internal/internal.h +++ b/src/ray/internal/internal.h @@ -20,7 +20,7 @@ #include "ray/common/buffer.h" #include "ray/common/id.h" -#include "ray/core_worker/core_worker.h" +#include "ray/core_worker/common.h" #include "ray/stats/metric.h" // This header is used to warp some internal code so we can reduce suspicious diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index f8b4b2637aeb..ec69ba17b874 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -24,7 +24,6 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/common:lease", "//src/ray/object_manager", "//src/ray/util:counter_map", "@com_google_absl//absl/container:flat_hash_map", @@ -44,6 +43,8 @@ ray_cc_library( ":worker_pool", "//src/ray/common:lease", "//src/ray/common:ray_object", + "//src/ray/common/scheduling:cluster_resource_data", + "//src/ray/common/scheduling:placement_group_util", "//src/ray/object_manager:object_manager_common", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:local_lease_manager_interface", diff --git a/src/ray/raylet/local_lease_manager.cc b/src/ray/raylet/local_lease_manager.cc index 7a497a04993f..402bfd6e1358 100644 --- a/src/ray/raylet/local_lease_manager.cc +++ b/src/ray/raylet/local_lease_manager.cc @@ -25,6 +25,7 @@ #include #include "ray/common/scheduling/cluster_resource_data.h" +#include "ray/common/scheduling/placement_group_util.h" #include "ray/stats/metric_defs.h" #include "ray/util/logging.h" @@ -193,7 +194,7 @@ void LocalLeaseManager::GrantScheduledLeasesToWorkers() { } } const auto &sched_cls_desc = - TaskSpecification::GetSchedulingClassDescriptor(scheduling_class); + SchedulingClassToIds::GetSchedulingClassDescriptor(scheduling_class); double total_cpus = cluster_resource_scheduler_.GetLocalResourceManager().GetNumCpus(); @@ -210,7 +211,7 @@ void LocalLeaseManager::GrantScheduledLeasesToWorkers() { for (auto &entry : info_by_sched_cls_) { // Only consider CPU requests const auto &cur_sched_cls_desc = - TaskSpecification::GetSchedulingClassDescriptor(entry.first); + SchedulingClassToIds::GetSchedulingClassDescriptor(entry.first); if (cur_sched_cls_desc.resource_set.Get(scheduling::ResourceID::CPU()).Double() > 0) { total_cpu_granted_leases += entry.second.granted_leases.size(); @@ -1163,7 +1164,7 @@ ResourceSet LocalLeaseManager::CalcNormalTaskResources() const { uint64_t LocalLeaseManager::MaxGrantedLeasesPerSchedulingClass( SchedulingClass sched_cls_id) const { - auto sched_cls = TaskSpecification::GetSchedulingClassDescriptor(sched_cls_id); + auto sched_cls = SchedulingClassToIds::GetSchedulingClassDescriptor(sched_cls_id); double cpu_req = sched_cls.resource_set.Get(ResourceID::CPU()).Double(); uint64_t total_cpus = cluster_resource_scheduler_.GetLocalResourceManager().GetNumCpus(); @@ -1228,7 +1229,8 @@ void LocalLeaseManager::DebugStr(std::stringstream &buffer) const { buffer << "}\n"; buffer << "Backlog Size per scheduling descriptor :{workerId: num backlogs}:\n"; for (const auto &[sched_cls, worker_to_backlog_size] : backlog_tracker_) { - const auto &descriptor = TaskSpecification::GetSchedulingClassDescriptor(sched_cls); + const auto &descriptor = + SchedulingClassToIds::GetSchedulingClassDescriptor(sched_cls); buffer << "\t" << descriptor.ResourceSetStr() << ": {\n"; for (const auto &[worker_id, backlog_size] : worker_to_backlog_size) { buffer << "\t\t" << worker_id << ": " << backlog_size << "\n"; @@ -1241,7 +1243,8 @@ void LocalLeaseManager::DebugStr(std::stringstream &buffer) const { for (const auto &pair : info_by_sched_cls_) { const auto &sched_cls = pair.first; const auto &info = pair.second; - const auto &descriptor = TaskSpecification::GetSchedulingClassDescriptor(sched_cls); + const auto &descriptor = + SchedulingClassToIds::GetSchedulingClassDescriptor(sched_cls); buffer << " - " << descriptor.DebugString() << ": " << info.granted_leases.size() << "/" << info.capacity << "\n"; } diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index ee89aba03ab6..6d00fd1c3205 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -34,7 +34,7 @@ ray_cc_library( hdrs = ["internal.h"], deps = [ "//src/ray/common:lease", - "//src/ray/common:ray_object", + "//src/ray/common/scheduling:cluster_resource_data", "//src/ray/protobuf:node_manager_cc_proto", ], ) @@ -45,9 +45,11 @@ ray_cc_library( hdrs = ["cluster_resource_manager.h"], deps = [ ":local_resource_manager", + "//src/ray/common:bundle_location_index", "//src/ray/common:grpc_util", "//src/ray/common:lease", "//src/ray/common:ray_config", + "//src/ray/common/scheduling:cluster_resource_data", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/util:container_util", "//src/ray/util:logging", @@ -89,7 +91,6 @@ ray_cc_library( ":scheduler_resource_reporter", "//src/ray/common:lease", "//src/ray/common:ray_config", - "//src/ray/common:ray_object", "//src/ray/stats:stats_lib", "//src/ray/util:logging", "@com_google_absl//absl/container:flat_hash_map", @@ -110,7 +111,6 @@ ray_cc_library( hdrs = ["local_lease_manager_interface.h"], deps = [ ":scheduler_internal", - "//src/ray/common:lease", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -120,10 +120,9 @@ ray_cc_library( srcs = ["local_resource_manager.cc"], hdrs = ["local_resource_manager.h"], deps = [ - "//src/ray/common:grpc_util", - "//src/ray/common:lease", - "//src/ray/common:ray_config", "//src/ray/common:ray_syncer", + "//src/ray/common/scheduling:cluster_resource_data", + "//src/ray/common/scheduling:placement_group_util", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/stats:stats_metric", @@ -140,7 +139,6 @@ ray_cc_library( deps = [ ":local_lease_manager_interface", ":scheduler_internal", - "//src/ray/common:lease", "//src/ray/common:ray_config", "@com_google_absl//absl/container:flat_hash_map", ], @@ -160,8 +158,7 @@ ray_cc_library( hdrs = ["policy/scheduling_context.h"], deps = [ "//src/ray/common:id", - "//src/ray/common:lease", - "@com_google_absl//absl/container:flat_hash_map", + "//src/ray/common:placement_group", ], ) @@ -171,7 +168,7 @@ ray_cc_library( hdrs = ["policy/affinity_with_bundle_scheduling_policy.h"], deps = [ ":scheduling_policy", - "//src/ray/common:lease", + "//src/ray/common:bundle_location_index", ], ) @@ -184,7 +181,6 @@ ray_cc_library( ":scheduling_context", ":scheduling_policy", ":scorer", - "//src/ray/common:lease", ], ) @@ -258,7 +254,9 @@ ray_cc_library( name = "scorer", srcs = ["policy/scorer.cc"], hdrs = ["policy/scorer.h"], - deps = ["//src/ray/common:lease"], + deps = [ + "//src/ray/common/scheduling:cluster_resource_data", + ], ) ray_cc_library( @@ -266,6 +264,6 @@ ray_cc_library( hdrs = ["policy/scheduling_policy.h"], deps = [ ":scheduling_options", - "//src/ray/common:lease", + "//src/ray/common/scheduling:cluster_resource_data", ], ) diff --git a/src/ray/raylet/scheduling/cluster_lease_manager.cc b/src/ray/raylet/scheduling/cluster_lease_manager.cc index f96973da9574..61893fc29de8 100644 --- a/src/ray/raylet/scheduling/cluster_lease_manager.cc +++ b/src/ray/raylet/scheduling/cluster_lease_manager.cc @@ -21,7 +21,6 @@ #include #include -#include "ray/stats/metric_defs.h" #include "ray/util/logging.h" #include "ray/util/string_utils.h" @@ -161,7 +160,7 @@ bool ClusterLeaseManager::IsWorkWithResourceShape( SchedulingClass scheduling_class = work->lease_.GetLeaseSpecification().GetSchedulingClass(); ResourceSet resource_set = - TaskSpecification::GetSchedulingClassDescriptor(scheduling_class).resource_set; + SchedulingClassToIds::GetSchedulingClassDescriptor(scheduling_class).resource_set; for (const auto &target_resource_shape : target_resource_shapes) { if (resource_set == target_resource_shape) { return true; diff --git a/src/ray/raylet/scheduling/cluster_lease_manager.h b/src/ray/raylet/scheduling/cluster_lease_manager.h index 89f15ba62417..2e0efaa58a0e 100644 --- a/src/ray/raylet/scheduling/cluster_lease_manager.h +++ b/src/ray/raylet/scheduling/cluster_lease_manager.h @@ -20,7 +20,6 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/lease/lease.h" -#include "ray/common/ray_object.h" #include "ray/raylet/scheduling/cluster_lease_manager_interface.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/local_lease_manager_interface.h" diff --git a/src/ray/raylet/scheduling/internal.h b/src/ray/raylet/scheduling/internal.h index dfb6d130a618..19f2f587be56 100644 --- a/src/ray/raylet/scheduling/internal.h +++ b/src/ray/raylet/scheduling/internal.h @@ -18,7 +18,6 @@ #include #include "ray/common/lease/lease.h" -#include "ray/common/ray_object.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "src/ray/protobuf/node_manager.pb.h" diff --git a/src/ray/raylet/scheduling/local_lease_manager_interface.h b/src/ray/raylet/scheduling/local_lease_manager_interface.h index dedf7ef53b98..8017efb1be13 100644 --- a/src/ray/raylet/scheduling/local_lease_manager_interface.h +++ b/src/ray/raylet/scheduling/local_lease_manager_interface.h @@ -19,10 +19,11 @@ #include #include "absl/container/flat_hash_map.h" -#include "ray/common/lease/lease.h" #include "ray/raylet/scheduling/internal.h" namespace ray { +class RayLease; + namespace raylet { // Forward declaration diff --git a/src/ray/raylet/scheduling/local_resource_manager.cc b/src/ray/raylet/scheduling/local_resource_manager.cc index f30a8997920d..f0e5064a511b 100644 --- a/src/ray/raylet/scheduling/local_resource_manager.cc +++ b/src/ray/raylet/scheduling/local_resource_manager.cc @@ -22,9 +22,10 @@ #include #include -#include "ray/common/grpc_util.h" -#include "ray/common/ray_config.h" +#include "ray/common/scheduling/placement_group_util.h" +#include "ray/common/scheduling/resource_set.h" #include "ray/stats/metric_defs.h" +#include "ray/util/logging.h" namespace ray { diff --git a/src/ray/raylet/scheduling/local_resource_manager.h b/src/ray/raylet/scheduling/local_resource_manager.h index 72c15ceb6514..3d3329c2fc0e 100644 --- a/src/ray/raylet/scheduling/local_resource_manager.h +++ b/src/ray/raylet/scheduling/local_resource_manager.h @@ -21,12 +21,9 @@ #include #include "absl/container/flat_hash_map.h" -#include "ray/common/bundle_spec.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/common/scheduling/fixed_point.h" -#include "ray/common/scheduling/resource_set.h" -#include "ray/util/logging.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/node_manager.pb.h" diff --git a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h index fe82f9fd55e5..4159b1a5c468 100644 --- a/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h +++ b/src/ray/raylet/scheduling/policy/bundle_scheduling_policy.h @@ -16,8 +16,6 @@ #include -#include "ray/common/bundle_spec.h" -#include "ray/common/scheduling/fixed_point.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" #include "ray/raylet/scheduling/policy/scheduling_policy.h" diff --git a/src/ray/raylet/scheduling/policy/scheduling_context.h b/src/ray/raylet/scheduling/policy/scheduling_context.h index 7dc71956d018..5d98a387cded 100644 --- a/src/ray/raylet/scheduling/policy/scheduling_context.h +++ b/src/ray/raylet/scheduling/policy/scheduling_context.h @@ -14,9 +14,6 @@ #pragma once -#include "absl/container/flat_hash_map.h" -#include "ray/common/bundle_location_index.h" -#include "ray/common/bundle_spec.h" #include "ray/common/id.h" #include "ray/common/placement_group.h" diff --git a/src/ray/raylet/scheduling/policy/scorer.cc b/src/ray/raylet/scheduling/policy/scorer.cc index 6bb07b8007ac..c53812b0abc2 100644 --- a/src/ray/raylet/scheduling/policy/scorer.cc +++ b/src/ray/raylet/scheduling/policy/scorer.cc @@ -14,8 +14,6 @@ #include "ray/raylet/scheduling/policy/scorer.h" -#include - namespace ray { namespace raylet_scheduling_policy { diff --git a/src/ray/raylet/scheduling/policy/scorer.h b/src/ray/raylet/scheduling/policy/scorer.h index cfc22a040958..e2bd1cfb2c72 100644 --- a/src/ray/raylet/scheduling/policy/scorer.h +++ b/src/ray/raylet/scheduling/policy/scorer.h @@ -13,7 +13,6 @@ // limitations under the License. #pragma once -#include #include "ray/common/scheduling/cluster_resource_data.h" diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc index 35be2849e6da..a728bd69e214 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.cc +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.cc @@ -22,6 +22,8 @@ #include #include +#include "ray/common/ray_config.h" + namespace ray { namespace raylet { @@ -78,7 +80,7 @@ void SchedulerResourceReporter::FillResourceUsage(rpc::ResourcesData &data) cons } const auto &scheduling_class_descriptor = - TaskSpecification::GetSchedulingClassDescriptor(scheduling_class); + SchedulingClassToIds::GetSchedulingClassDescriptor(scheduling_class); if ((scheduling_class_descriptor.scheduling_strategy.scheduling_strategy_case() == rpc::SchedulingStrategy::SchedulingStrategyCase:: kNodeAffinitySchedulingStrategy) && @@ -184,7 +186,7 @@ void SchedulerResourceReporter::FillPendingActorCountByShape( for (const auto &shape_entry : pending_count_by_shape) { auto by_shape_entry = resource_load_by_shape->Add(); for (const auto &resource_entry : - TaskSpecification::GetSchedulingClassDescriptor(shape_entry.first) + SchedulingClassToIds::GetSchedulingClassDescriptor(shape_entry.first) .resource_set.GetResourceMap()) { (*by_shape_entry->mutable_shape())[resource_entry.first] = resource_entry.second; } diff --git a/src/ray/raylet/scheduling/scheduler_resource_reporter.h b/src/ray/raylet/scheduling/scheduler_resource_reporter.h index 3357bd484a3f..5bc12c5d4139 100644 --- a/src/ray/raylet/scheduling/scheduler_resource_reporter.h +++ b/src/ray/raylet/scheduling/scheduler_resource_reporter.h @@ -17,8 +17,6 @@ #include #include "absl/container/flat_hash_map.h" -#include "ray/common/ray_config.h" -#include "ray/common/task/task_spec.h" #include "ray/raylet/scheduling/internal.h" #include "ray/raylet/scheduling/local_lease_manager_interface.h" diff --git a/src/ray/raylet/scheduling/scheduler_stats.h b/src/ray/raylet/scheduling/scheduler_stats.h index 3974ba6f0a2e..21b2ef86738a 100644 --- a/src/ray/raylet/scheduling/scheduler_stats.h +++ b/src/ray/raylet/scheduling/scheduler_stats.h @@ -16,10 +16,6 @@ #include -#include "absl/container/flat_hash_map.h" -#include "ray/common/ray_config.h" -#include "ray/common/task/task_spec.h" -#include "ray/raylet/scheduling/internal.h" #include "ray/raylet/scheduling/local_lease_manager_interface.h" #include "ray/stats/metric.h" diff --git a/src/ray/raylet/scheduling/scheduling_policy.h b/src/ray/raylet/scheduling/scheduling_policy.h index fe689355ac76..5fd17b7bf137 100644 --- a/src/ray/raylet/scheduling/scheduling_policy.h +++ b/src/ray/raylet/scheduling/scheduling_policy.h @@ -18,7 +18,6 @@ #include "ray/common/ray_config.h" #include "ray/common/scheduling/cluster_resource_data.h" -#include "ray/gcs/gcs_client/gcs_client.h" namespace ray { namespace raylet_scheduling_policy { diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index fa88ef1be1cb..15e6820c6873 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -11,6 +11,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:lease", "//src/ray/common:ray_config", + "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/raylet/scheduling:cluster_resource_scheduler", diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 1577fce0758a..bf264b24fecc 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -70,6 +70,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:id", + "//src/ray/common/scheduling:placement_group_util", "//src/ray/raylet:placement_group_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -100,7 +101,6 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/common:lease", "//src/ray/common:test_utils", "//src/ray/observability:fake_metric", "//src/ray/raylet:lease_dependency_manager", diff --git a/src/ray/raylet/tests/lease_dependency_manager_test.cc b/src/ray/raylet/tests/lease_dependency_manager_test.cc index 250032273c36..73b41cd0d688 100644 --- a/src/ray/raylet/tests/lease_dependency_manager_test.cc +++ b/src/ray/raylet/tests/lease_dependency_manager_test.cc @@ -14,7 +14,6 @@ #include "ray/raylet/lease_dependency_manager.h" -#include #include #include #include diff --git a/src/ray/raylet/tests/placement_group_resource_manager_test.cc b/src/ray/raylet/tests/placement_group_resource_manager_test.cc index c37fdc477cc0..f3cb445677fe 100644 --- a/src/ray/raylet/tests/placement_group_resource_manager_test.cc +++ b/src/ray/raylet/tests/placement_group_resource_manager_test.cc @@ -23,6 +23,7 @@ #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "ray/common/bundle_spec.h" #include "ray/common/id.h" +#include "ray/common/scheduling/placement_group_util.h" #include "ray/common/scheduling/resource_set.h" namespace ray { diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index 8f5a59ef399d..b4f908e114e6 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -31,7 +31,7 @@ namespace raylet { Worker::Worker(const JobID &job_id, int runtime_env_hash, const WorkerID &worker_id, - const Language &language, + const rpc::Language &language, rpc::WorkerType worker_type, const std::string &ip_address, std::shared_ptr connection, @@ -120,7 +120,7 @@ void Worker::SetStartupToken(StartupToken startup_token) { startup_token_ = startup_token; } -Language Worker::GetLanguage() const { return language_; } +rpc::Language Worker::GetLanguage() const { return language_; } const std::string Worker::IpAddress() const { return ip_address_; } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 115ff53ce11d..d7466dac569e 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -56,7 +56,7 @@ class WorkerInterface { /// Return the worker process's startup token virtual StartupToken GetStartupToken() const = 0; virtual void SetProcess(Process proc) = 0; - virtual Language GetLanguage() const = 0; + virtual rpc::Language GetLanguage() const = 0; virtual const std::string IpAddress() const = 0; virtual void AsyncNotifyGCSRestart() = 0; /// Connect this worker's gRPC client. @@ -144,7 +144,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa Worker(const JobID &job_id, int runtime_env_hash, const WorkerID &worker_id, - const Language &language, + const rpc::Language &language, rpc::WorkerType worker_type, const std::string &ip_address, std::shared_ptr connection, @@ -169,7 +169,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// Return the worker process's startup token StartupToken GetStartupToken() const; void SetProcess(Process proc); - Language GetLanguage() const; + rpc::Language GetLanguage() const; const std::string IpAddress() const; void AsyncNotifyGCSRestart(); /// Connect this worker's gRPC client. @@ -269,7 +269,7 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa /// The worker's process's startup_token StartupToken startup_token_; /// The language type of this worker. - Language language_; + rpc::Language language_; /// The type of the worker. rpc::WorkerType worker_type_; /// IP address of this worker. diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 1fb75da79340..584020804e6a 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -192,7 +192,6 @@ ray_cc_library( ], visibility = ["//visibility:public"], deps = [ - ":client_call", "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", @@ -220,8 +219,8 @@ ray_cc_library( deps = [ ":raylet_client_interface", ":retryable_grpc_client", + "//src/ray/common:bundle_spec", "//src/ray/common:ray_config", - "//src/ray/common:task_common", "//src/ray/protobuf:node_manager_cc_grpc", "//src/ray/util:logging", ], diff --git a/src/ray/rpc/raylet/raylet_client_interface.h b/src/ray/rpc/raylet/raylet_client_interface.h index 3480f86be848..f0d72452f547 100644 --- a/src/ray/rpc/raylet/raylet_client_interface.h +++ b/src/ray/rpc/raylet/raylet_client_interface.h @@ -16,13 +16,17 @@ #include #include +#include #include -#include "ray/rpc/client_call.h" #include "src/ray/protobuf/autoscaler.pb.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/node_manager.pb.h" +// Maps from resource name to its allocation. +using ResourceMappingType = + std::unordered_map>>; + namespace grpc { class Channel; } @@ -37,6 +41,11 @@ class LeaseID; class NodeID; class BundleSpecification; +namespace rpc { +template +using ClientCallback = std::function; +} + class RayletClientInterface { public: /// Request to a raylet to pin a plasma object. The callback will be sent via gRPC. @@ -44,7 +53,7 @@ class RayletClientInterface { const rpc::Address &caller_address, const std::vector &object_ids, const ObjectID &generator_id, - const ray::rpc::ClientCallback &callback) = 0; + const rpc::ClientCallback &callback) = 0; /// Requests a worker from the raylet. The callback will be sent via gRPC. /// \param lease_spec Lease that is requested by the owner. @@ -56,7 +65,7 @@ class RayletClientInterface { virtual void RequestWorkerLease( const rpc::LeaseSpec &lease_spec, bool grant_or_reject, - const ray::rpc::ClientCallback &callback, + const rpc::ClientCallback &callback, const int64_t backlog_size = -1, const bool is_selected_based_on_locality = false) = 0; From 58febb46f627ffcf5a480530d7655c0ec8cd67c5 Mon Sep 17 00:00:00 2001 From: Cindy Zhang Date: Thu, 11 Sep 2025 09:39:46 -0700 Subject: [PATCH 1163/1566] [serve] fix release tests that use locust (#56354) Locust's mass monkey patching doesn't play well with ray. I don't know the exact reason but importing locust will hang indefinitely when inside a ray worker, which is what caused failures like https://buildkite.com/ray-project/release/builds/57072#019928b0-e84b-4b6e-8760-adb0d4ac7728. This specific behavior (that importing locust inside a ray worker will hang indefinitely) is new, probably due to new changes in ray because we pin locust versions for release tests, but the fact that there's issues between ray and locust has always been the case. Previous to this we also had to delay importing locust until inside the worker because importing in the driver meant the driver couldn't connect to the ray cluster. I found that turning off locust's monkey patching fixes this. Still need to figure out side effects --------- Signed-off-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../serve/_private/benchmarks/locust_utils.py | 279 +++++++++++++ release/serve_tests/workloads/locust_utils.py | 375 ++++++------------ 2 files changed, 404 insertions(+), 250 deletions(-) create mode 100644 python/ray/serve/_private/benchmarks/locust_utils.py diff --git a/python/ray/serve/_private/benchmarks/locust_utils.py b/python/ray/serve/_private/benchmarks/locust_utils.py new file mode 100644 index 000000000000..7949b69ea52e --- /dev/null +++ b/python/ray/serve/_private/benchmarks/locust_utils.py @@ -0,0 +1,279 @@ +import argparse +import logging +import time +from dataclasses import asdict, dataclass +from typing import Any, Dict, List + +from ray.serve._private.utils import generate_request_id + +logger = logging.getLogger(__file__) +logging.basicConfig(level=logging.INFO) + +MASTER_PORT = 5557 + + +@dataclass +class LocustStage: + duration_s: int + users: int + spawn_rate: float + + +@dataclass +class PerformanceStats: + p50_latency: float + p90_latency: float + p99_latency: float + rps: float + + +@dataclass +class LocustTestResults: + history: List[Dict] + total_requests: int + num_failures: int + avg_latency: float + p50_latency: float + p90_latency: float + p99_latency: float + avg_rps: float + stats_in_stages: List[PerformanceStats] + + +@dataclass +class FailedRequest: + request_id: str + status_code: int + exception: str + response_time_ms: float + start_time_s: float + + +class LocustClient: + def __init__( + self, + host_url: str, + token: str, + data: Dict[str, Any] = None, + ): + from locust import FastHttpUser, constant, events, task + from locust.contrib.fasthttp import FastResponse + + self.errors = [] + self.stats_in_stages: List[PerformanceStats] = [] + + class EndpointUser(FastHttpUser): + wait_time = constant(0) + failed_requests = [] + host = host_url + + @task + def test(self): + request_id = generate_request_id() + headers = ( + {"Authorization": f"Bearer {token}", "X-Request-ID": request_id} + if token + else None + ) + with self.client.get( + "", headers=headers, json=data, catch_response=True + ) as r: + r.request_meta["context"]["request_id"] = request_id + + @events.request.add_listener + def on_request( + response: FastResponse, + exception, + context, + start_time: float, + response_time: float, + **kwargs, + ): + if exception and response.status_code != 0: + request_id = context["request_id"] + print( + f"Request '{request_id}' failed with exception:\n" + f"{exception}\n{response.text}" + ) + + if response.status_code != 0: + response.encoding = "utf-8" + err = FailedRequest( + request_id=request_id, + status_code=response.status_code, + exception=response.text, + response_time_ms=response_time, + start_time_s=start_time, + ) + self.errors.append(err) + print( + f"Request '{request_id}' failed with exception:\n" + f"{exception}\n{response.text}" + ) + + self.user_class = EndpointUser + + +def on_stage_finished(master_runner, stats_in_stages): + stats_entry_key = ("", "GET") + stats_entry = master_runner.stats.entries.get(stats_entry_key) + + stats_in_stages.append( + PerformanceStats( + p50_latency=stats_entry.get_current_response_time_percentile(0.5), + p90_latency=stats_entry.get_current_response_time_percentile(0.9), + p99_latency=stats_entry.get_current_response_time_percentile(0.99), + rps=stats_entry.current_rps, + ) + ) + + +def run_locust_worker( + master_address: str, host_url: str, token: str, data: Dict[str, Any] +): + import locust + from locust.env import Environment + from locust.log import setup_logging + + setup_logging("INFO") + client = LocustClient(host_url=host_url, token=token, data=data) + env = Environment(user_classes=[client.user_class], events=locust.events) + + runner = env.create_worker_runner( + master_host=master_address, master_port=MASTER_PORT + ) + runner.greenlet.join() + + if client.errors: + raise RuntimeError(f"There were {len(client.errors)} errors: {client.errors}") + + +def run_locust_master( + host_url: str, + token: str, + expected_num_workers: int, + stages: List[LocustStage], + wait_for_workers_timeout_s: float, +): + import gevent + import locust + from locust import LoadTestShape + from locust.env import Environment + from locust.stats import ( + get_error_report_summary, + get_percentile_stats_summary, + get_stats_summary, + stats_history, + stats_printer, + ) + + client = LocustClient(host_url, token) + + class StagesShape(LoadTestShape): + curr_stage_ix = 0 + + def tick(cls): + run_time = cls.get_run_time() + prefix_time = 0 + for i, stage in enumerate(stages): + prefix_time += stage.duration_s + + if run_time < prefix_time: + if i != cls.curr_stage_ix: + on_stage_finished(master_runner, client.stats_in_stages) + cls.curr_stage_ix = i + + current_stage = stages[cls.curr_stage_ix] + return current_stage.users, current_stage.spawn_rate + + # End of stage test + on_stage_finished(master_runner, client.stats_in_stages) + + master_env = Environment( + user_classes=[client.user_class], + shape_class=StagesShape(), + events=locust.events, + ) + master_runner = master_env.create_master_runner("*", MASTER_PORT) + + start = time.time() + while len(master_runner.clients.ready) < expected_num_workers: + if time.time() - start > wait_for_workers_timeout_s: + raise RuntimeError( + f"Timed out waiting for {expected_num_workers} workers to " + "connect to Locust master." + ) + + print( + f"Waiting for workers to be ready, " + f"{len(master_runner.clients.ready)} " + f"of {expected_num_workers} ready." + ) + time.sleep(1) + + # Periodically output current stats (each entry is aggregated + # stats over the past 10 seconds, by default) + gevent.spawn(stats_printer(master_env.stats)) + gevent.spawn(stats_history, master_runner) + + # Start test & wait for the shape test to finish + master_runner.start_shape() + master_runner.shape_greenlet.join() + # Send quit signal to all locust workers + master_runner.quit() + + # Print stats + for line in get_stats_summary(master_runner.stats, current=False): + print(line) + # Print percentile stats + for line in get_percentile_stats_summary(master_runner.stats): + print(line) + # Print error report + if master_runner.stats.errors: + for line in get_error_report_summary(master_runner.stats): + print(line) + + stats_entry_key = ("", "GET") + stats_entry = master_runner.stats.entries.get(stats_entry_key) + results = LocustTestResults( + history=master_runner.stats.history, + total_requests=master_runner.stats.num_requests, + num_failures=master_runner.stats.num_failures, + avg_latency=stats_entry.avg_response_time, + p50_latency=stats_entry.get_response_time_percentile(0.5), + p90_latency=stats_entry.get_response_time_percentile(0.9), + p99_latency=stats_entry.get_response_time_percentile(0.99), + avg_rps=stats_entry.total_rps, + stats_in_stages=client.stats_in_stages, + ) + return asdict(results) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--worker-type", type=str, required=True) + parser.add_argument("--host-url", type=str, required=True) + parser.add_argument("--token", type=str, required=True) + parser.add_argument("--master-address", type=str, required=False) + parser.add_argument("--expected-num-workers", type=int, required=False) + parser.add_argument("--stages", type=str, required=False) + parser.add_argument("--wait-for-workers-timeout-s", type=float, required=False) + args = parser.parse_args() + host_url = args.host_url + token = args.token + if args.worker_type == "master": + results = run_locust_master( + host_url, + token, + args.expected_num_workers, + args.stages, + args.wait_for_workers_timeout_s, + ) + else: + results = run_locust_worker(args.master_address, host_url, token, args.data) + + print(results) + + +if __name__ == "__main__": + main() diff --git a/release/serve_tests/workloads/locust_utils.py b/release/serve_tests/workloads/locust_utils.py index 59c65e4e7e5c..6242b5e1dc0a 100644 --- a/release/serve_tests/workloads/locust_utils.py +++ b/release/serve_tests/workloads/locust_utils.py @@ -1,26 +1,23 @@ from dataclasses import asdict, dataclass -from itertools import chain +import os +import sys +import subprocess import json import logging -import time -from tqdm import tqdm -from typing import Any, Dict, List +from typing import Any, List import ray -from ray.serve._private.utils import generate_request_id +from ray.serve._private.benchmarks.locust_utils import ( + LocustStage, + LocustTestResults, + PerformanceStats, +) logger = logging.getLogger(__file__) logging.basicConfig(level=logging.INFO) -@dataclass -class LocustStage: - duration_s: int - users: int - spawn_rate: float - - @dataclass class LocustLoadTestConfig: num_workers: int @@ -31,247 +28,116 @@ class LocustLoadTestConfig: wait_for_workers_timeout_s: float = 600 -@dataclass -class PerformanceStats: - p50_latency: float - p90_latency: float - p99_latency: float - rps: float - - -@dataclass -class LocustTestResults: - history: List[Dict] - total_requests: int - num_failures: int - avg_latency: float - p50_latency: float - p90_latency: float - p99_latency: float - avg_rps: float - stats_in_stages: List[PerformanceStats] - - -@dataclass -class FailedRequest: - request_id: str - status_code: int - exception: str - response_time_ms: float - start_time_s: float - - -class LocustClient: - def __init__( - self, - host_url: str, - token: str, - data: Dict[str, Any] = None, - ): - from locust import task, constant, events, FastHttpUser - from locust.contrib.fasthttp import FastResponse - - self.errors = [] - - class EndpointUser(FastHttpUser): - wait_time = constant(0) - failed_requests = [] - host = host_url - - @task - def test(self): - request_id = generate_request_id() - headers = ( - {"Authorization": f"Bearer {token}", "X-Request-ID": request_id} - if token - else None - ) - with self.client.get( - "", headers=headers, json=data, catch_response=True - ) as r: - r.request_meta["context"]["request_id"] = request_id - - @events.request.add_listener - def on_request( - response: FastResponse, - exception, - context, - start_time: float, - response_time: float, - **kwargs, - ): - if exception: - request_id = context["request_id"] - response.encoding = "utf-8" - err = FailedRequest( - request_id=request_id, - status_code=response.status_code, - exception=response.text, - response_time_ms=response_time, - start_time_s=start_time, - ) - self.errors.append(err) - print( - f"Request '{request_id}' failed with exception: {response.text}" - ) - - self.user_class = EndpointUser - - -@ray.remote(num_cpus=1) -class LocustWorker(LocustClient): - def __init__( - self, - host_url: str, - token: str, - master_address: str, - data: Dict[str, Any] = None, - ): - # NOTE(zcin): We need to lazily import locust because the driver - # script won't connect to ray properly otherwise. - import locust - from locust.env import Environment - from locust.log import setup_logging - - super().__init__(host_url=host_url, token=token, data=data) - setup_logging("INFO") - self.env = Environment(user_classes=[self.user_class], events=locust.events) - self.master_address = master_address - - def run(self) -> List[Dict]: - runner = self.env.create_worker_runner( - master_host=self.master_address, master_port=5557 - ) - runner.greenlet.join() - return self.errors - - @ray.remote(num_cpus=1) -class LocustMaster(LocustClient): +class LocustProcess: def __init__( self, + worker_type: str, host_url: str, token: str, - expected_num_workers: int, - stages: List[LocustStage], - wait_for_workers_timeout_s: float, + expected_num_workers: int = None, + stages: List[LocustStage] = None, + wait_for_workers_timeout_s: float = None, + data: Any = None, + master_address: str = None, ): - # NOTE(zcin): We need to lazily import locust because the driver - # script won't connect to ray properly otherwise. - import locust - from locust import LoadTestShape - from locust.env import Environment - from locust.log import setup_logging - - super().__init__(host_url=host_url, token=token) - setup_logging("INFO") - - self.stats_in_stages: List[PerformanceStats] = [] - - class StagesShape(LoadTestShape): - curr_stage_ix = 0 - - def tick(cls): - run_time = cls.get_run_time() - prefix_time = 0 - for i, stage in enumerate(stages): - prefix_time += stage.duration_s - - if run_time < prefix_time: - if i != cls.curr_stage_ix: - self.on_stage_finished() - cls.curr_stage_ix = i - - current_stage = stages[cls.curr_stage_ix] - return current_stage.users, current_stage.spawn_rate - - # End of stage test - self.on_stage_finished() - - self.master_env = Environment( - user_classes=[self.user_class], - shape_class=StagesShape(), - events=locust.events, - ) + self.worker_type = worker_type + self.host_url = host_url + self.token = token self.expected_num_workers = expected_num_workers + self.stages = stages self.wait_for_workers_timeout_s = wait_for_workers_timeout_s - self.master_runner = None + self.data = data + self.master_address = master_address - def on_stage_finished(self): - stats_entry_key = ("", "GET") - stats_entry = self.master_runner.stats.entries.get(stats_entry_key) + def run(self): + # Create a temporary file for results + import tempfile - self.stats_in_stages.append( - PerformanceStats( - p50_latency=stats_entry.get_current_response_time_percentile(0.5), - p90_latency=stats_entry.get_current_response_time_percentile(0.9), - p99_latency=stats_entry.get_current_response_time_percentile(0.99), - rps=stats_entry.current_rps, - ) + results_file = tempfile.NamedTemporaryFile( + mode="w", delete=False, suffix=".json" ) + results_file.close() - def run(self): - import gevent - from locust.stats import ( - get_stats_summary, - get_percentile_stats_summary, - get_error_report_summary, - stats_history, - stats_printer, + # Prepare the subprocess script + if self.worker_type == "master": + script = f""" +import sys +import json +from ray.serve._private.benchmarks.locust_utils import run_locust_master, run_locust_worker, LocustStage + +stages = json.loads(sys.argv[1]) +stages = [LocustStage(**stage) for stage in stages] +results = run_locust_master( + host_url="{self.host_url}", + token="{self.token}", + expected_num_workers={self.expected_num_workers}, + stages=stages, + wait_for_workers_timeout_s={self.wait_for_workers_timeout_s} +) + +with open("{results_file.name}", 'w') as f: + json.dump(results, f) +""" + stages = json.dumps([asdict(stage) for stage in self.stages]) + cmd_args = [sys.executable, "-c", script, stages] + else: + script = f""" +import sys +import json +from ray.serve._private.benchmarks.locust_utils import run_locust_master, run_locust_worker, LocustStage + +data = sys.argv[1] +results = run_locust_worker( + master_address="{self.master_address}", + host_url="{self.host_url}", + token="{self.token}", + data=data, +) +""" + data = json.dumps(self.data) + cmd_args = [sys.executable, "-c", script, data] + + # Start the Locust process + self.process = subprocess.Popen( + cmd_args, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + bufsize=1, ) - - self.master_runner = self.master_env.create_master_runner("*", 5557) - - start = time.time() - while len(self.master_runner.clients.ready) < self.expected_num_workers: - if time.time() - start > self.wait_for_workers_timeout_s: - raise RuntimeError( - f"Timed out waiting for {self.expected_num_workers} workers to " - "connect to Locust master." + print(f"Started {self.worker_type} subprocess ({self.process.pid})") + + try: + # Wait for the process to complete first + for line in self.process.stdout: # yields as the child prints + sys.stdout.write(line) # stream to our stdout + + return_code = self.process.wait() + if return_code != 0: + # Clean up the results file on error + try: + os.unlink(results_file.name) + except OSError: + pass + raise RuntimeError(f"Subprocess failed with return code {return_code}.") + + # Read the result from the results file + with open(results_file.name, "r") as f: + result_data = f.read() + + if result_data: + result_data = json.loads(result_data) + stats_in_stages = [ + PerformanceStats(**stage) + for stage in result_data.pop("stats_in_stages") + ] + result = LocustTestResults( + **result_data, stats_in_stages=stats_in_stages ) - - print( - f"Waiting for workers to be ready, " - f"{len(self.master_runner.clients.ready)} " - f"of {self.expected_num_workers} ready." - ) - time.sleep(1) - - # Periodically output current stats (each entry is aggregated - # stats over the past 10 seconds, by default) - gevent.spawn(stats_printer(self.master_env.stats)) - gevent.spawn(stats_history, self.master_runner) - - # Start test & wait for the shape test to finish - self.master_runner.start_shape() - self.master_runner.shape_greenlet.join() - # Send quit signal to all locust workers - self.master_runner.quit() - - # Print stats - for line in get_stats_summary(self.master_runner.stats, current=False): - print(line) - # Print percentile stats - for line in get_percentile_stats_summary(self.master_runner.stats): - print(line) - # Print error report - if self.master_runner.stats.errors: - for line in get_error_report_summary(self.master_runner.stats): - print(line) - - stats_entry_key = ("", "GET") - stats_entry = self.master_runner.stats.entries.get(stats_entry_key) - return LocustTestResults( - history=self.master_runner.stats.history, - total_requests=self.master_runner.stats.num_requests, - num_failures=self.master_runner.stats.num_failures, - avg_latency=stats_entry.avg_response_time, - p50_latency=stats_entry.get_response_time_percentile(0.5), - p90_latency=stats_entry.get_response_time_percentile(0.9), - p99_latency=stats_entry.get_response_time_percentile(0.99), - avg_rps=stats_entry.total_rps, - stats_in_stages=self.stats_in_stages, - ) + return result + finally: + os.unlink(results_file.name) def run_locust_load_test(config: LocustLoadTestConfig) -> LocustTestResults: @@ -288,17 +154,20 @@ def run_locust_load_test(config: LocustLoadTestConfig) -> LocustTestResults: worker_refs = [] # Start Locust workers - for _ in tqdm(range(config.num_workers)): - locust_worker = LocustWorker.remote( + for i in range(config.num_workers): + locust_worker = LocustProcess.options(name=f"LocustWorker-{i}").remote( + worker_type="worker", host_url=config.host_url, token=config.auth_token, master_address=master_address, data=config.data, ) worker_refs.append(locust_worker.run.remote()) + print(f"Started worker {i}") # Start Locust master - master_worker = LocustMaster.remote( + master_worker = LocustProcess.options(name="LocustMaster").remote( + worker_type="master", host_url=config.host_url, token=config.auth_token, expected_num_workers=config.num_workers, @@ -309,13 +178,19 @@ def run_locust_load_test(config: LocustLoadTestConfig) -> LocustTestResults: # Collect results and metrics stats: LocustTestResults = ray.get(master_ref) - errors = sorted(chain(*ray.get(worker_refs)), key=lambda e: e.start_time_s) + ray.get(worker_refs) + return stats - # If there were any requests that failed, raise error. - if stats.num_failures > 0: - errors_json = [asdict(err) for err in errors] - raise RuntimeError( - f"There were failed requests: {json.dumps(errors_json, indent=4)}" - ) - return stats +if __name__ == "__main__": + ray.init(address="auto") + results = run_locust_load_test( + LocustLoadTestConfig( + num_workers=9, + host_url="https://services-canary-pinger-aws-zugs7.cld-kvedzwag2qa8i5bj.s.anyscaleuserdata.com/info", + auth_token="v9M8jb3tBbHOGoWrg7X1fCwF8wYn7gqZR5VZ1_h4t50", + data=None, + stages=[LocustStage(duration_s=10, users=10, spawn_rate=1)], + ) + ) + print(results) From c9cf7fedd80023c3ed51327816fe2b0b81e9b733 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 11 Sep 2025 10:52:06 -0700 Subject: [PATCH 1164/1566] [Serve] Refactor test_deploy_app_2.py and add port attributes (#55748) This PR refactors test_deploy_app_2.py and adds additional attributes to `deployment_state.py` and `replica.py` --------- Signed-off-by: doyoung Signed-off-by: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/deployment_state.py | 50 ++++++- python/ray/serve/_private/replica.py | 8 +- python/ray/serve/_private/test_utils.py | 23 ++++ .../serve/tests/test_controller_recovery.py | 4 +- python/ray/serve/tests/test_deploy_app_2.py | 130 ++++++++---------- .../serve/tests/unit/test_deployment_state.py | 2 +- 6 files changed, 133 insertions(+), 84 deletions(-) diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index 04d5519aacf1..dd9a136632b4 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -248,7 +248,7 @@ def __init__( self._last_health_check_time: float = 0.0 self._consecutive_health_check_failures = 0 self._initialization_latency_s: Optional[float] = None - self._port: Optional[int] = None + self._internal_grpc_port: Optional[int] = None self._docs_path: Optional[str] = None # Rank assigned to the replica. self._rank: Optional[int] = None @@ -264,6 +264,8 @@ def __init__( self._node_ip: str = None self._node_instance_id: str = None self._log_file_path: str = None + self._http_port: int = None + self._grpc_port: int = None # Populated in self.stop(). self._graceful_shutdown_ref: ObjectRef = None @@ -365,6 +367,14 @@ def health_check_period_s(self) -> float: def health_check_timeout_s(self) -> float: return self.deployment_config.health_check_timeout_s + @property + def http_port(self) -> Optional[int]: + return self._http_port + + @property + def grpc_port(self) -> Optional[int]: + return self._grpc_port + @property def request_routing_stats_period_s(self) -> float: return ( @@ -752,8 +762,10 @@ def check_ready(self) -> Tuple[ReplicaStartupStatus, Optional[str]]: _, self._version, self._initialization_latency_s, - self._port, + self._internal_grpc_port, self._docs_path, + self._http_port, + self._grpc_port, self._rank, ) = ray.get(self._ready_obj_ref) except RayTaskError as e: @@ -1065,7 +1077,7 @@ def get_running_replica_info( is_cross_language=self._actor.is_cross_language, multiplexed_model_ids=self.multiplexed_model_ids, routing_stats=self.routing_stats, - port=self._actor._port, + port=self._actor._internal_grpc_port, ) def record_multiplexed_model_ids(self, multiplexed_model_ids: List[str]): @@ -1126,6 +1138,14 @@ def actor_node_id(self) -> Optional[str]: """Returns the node id of the actor, None if not placed.""" return self._actor.node_id + @property + def actor_http_port(self) -> Optional[int]: + return self._actor.http_port + + @property + def actor_grpc_port(self) -> Optional[int]: + return self._actor.grpc_port + @property def actor_pid(self) -> Optional[int]: """Returns the node id of the actor, None if not placed.""" @@ -2902,6 +2922,9 @@ def _stop_one_running_replica_for_testing(self): for replica in running_replicas: self._replicas.add(ReplicaState.RUNNING, replica) + def is_ingress(self) -> bool: + return self._target_state.info.ingress + class DeploymentStateManager: """Manages all state for deployments in the system. @@ -3421,6 +3444,27 @@ def get_active_node_ids(self) -> Set[str]: node_ids.update(deployment_state.get_active_node_ids()) return node_ids + def get_ingress_replicas_info(self) -> List[Tuple[str, str, int, int]]: + """Get all ingress replicas info for all deployments.""" + ingress_replicas_list = [ + deployment_state._replicas.get() + for deployment_state in self._deployment_states.values() + if deployment_state.is_ingress() + ] + + ingress_replicas_info = [] + for replicas in ingress_replicas_list: + for replica in replicas: + ingress_replicas_info.append( + ( + replica.actor_node_id, + replica.replica_id.unique_id, + replica.actor_http_port, + replica.actor_grpc_port, + ) + ) + return ingress_replicas_info + def _get_replica_ranks_mapping(self, deployment_id: DeploymentID) -> Dict[str, int]: """Get the current rank mapping for all replicas in a deployment. Args: diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index c8728d973ef3..ff1b8425c888 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -425,8 +425,10 @@ def __init__( ingress=ingress, ) - self._port: Optional[int] = None + self._internal_grpc_port: Optional[int] = None self._docs_path: Optional[str] = None + self._http_port: Optional[int] = None + self._grpc_port: Optional[int] = None @property def max_ongoing_requests(self) -> int: @@ -441,8 +443,10 @@ def get_metadata(self) -> ReplicaMetadata: self._version.deployment_config, self._version, self._initialization_latency, - self._port, + self._internal_grpc_port, self._docs_path, + self._http_port, + self._grpc_port, current_rank, ) diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index c3c9142ab475..acdff7669a51 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -717,6 +717,29 @@ def tlog(s: str, level: str = "INFO"): print(f"[{level}] {now} {s}") +def check_target_groups_ready( + client: ServeControllerClient, + app_name: str, + protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, +): + """Wait for target groups to be ready for the given app and protocol. + + Target groups are ready when there are at least one target for the given protocol. And it's + possible that target groups are not ready immediately. An example is when the controller + is recovering from a crash. + """ + target_groups = ray.get(client._controller.get_target_groups.remote(app_name)) + target_groups = [ + target_group + for target_group in target_groups + if target_group.protocol == protocol + ] + all_targets = [ + target for target_group in target_groups for target in target_group.targets + ] + return len(all_targets) > 0 + + def get_application_urls( protocol: Union[str, RequestProtocol] = RequestProtocol.HTTP, app_name: str = SERVE_DEFAULT_APP_NAME, diff --git a/python/ray/serve/tests/test_controller_recovery.py b/python/ray/serve/tests/test_controller_recovery.py index 52f405153a1e..535483411e71 100644 --- a/python/ray/serve/tests/test_controller_recovery.py +++ b/python/ray/serve/tests/test_controller_recovery.py @@ -65,7 +65,7 @@ def __call__(self, *args): replica_version_hash = None for replica in deployment_dict[id]: ref = replica.actor_handle.initialize_and_get_metadata.remote() - _, version, _, _, _, _ = ray.get(ref) + _, version, _, _, _, _, _, _ = ray.get(ref) if replica_version_hash is None: replica_version_hash = hash(version) assert replica_version_hash == hash(version), ( @@ -118,7 +118,7 @@ def __call__(self, *args): for replica_name in recovered_replica_names: actor_handle = ray.get_actor(replica_name, namespace=SERVE_NAMESPACE) ref = actor_handle.initialize_and_get_metadata.remote() - _, version, _, _, _, _ = ray.get(ref) + _, version, _, _, _, _, _, _ = ray.get(ref) assert replica_version_hash == hash( version ), "Replica version hash should be the same after recover from actor names" diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 1b5acec54b4c..28ce0a1adb92 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -20,6 +20,8 @@ ) from ray.serve._private.test_utils import ( check_num_replicas_eq, + check_running, + check_target_groups_ready, get_application_url, ) from ray.serve.schema import ( @@ -28,7 +30,6 @@ ServeDeploySchema, ServeInstanceDetails, ) -from ray.serve.tests.test_deploy_app import check_running from ray.tests.conftest import call_ray_stop_only # noqa: F401 from ray.util.state import list_actors @@ -408,18 +409,9 @@ def test_deploy_does_not_affect_dynamic_apps(serve_instance): ], ) client.deploy_apps(config) - - def check_application_running( - name: str, route_prefix: str, *, msg: str = "wonderful world" - ): - status = serve.status().applications[name] - assert status.status == "RUNNING" - assert httpx.post(f"http://localhost:8000{route_prefix}/").text == msg - return True - - wait_for_condition( - check_application_running, name="declarative-app-1", route_prefix="/app-1" - ) + wait_for_condition(check_running, app_name="declarative-app-1") + url = get_application_url(app_name="declarative-app-1") + assert httpx.post(url).text == "wonderful world" # Now `serve.run` a dynamic app. @serve.deployment @@ -428,12 +420,9 @@ def __call__(self, *args) -> str: return "Hello!" serve.run(D.bind(), name="dynamic-app", route_prefix="/dynamic") - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) + wait_for_condition(check_running, app_name="dynamic-app") + url = get_application_url(app_name="dynamic-app") + assert httpx.post(url).text == "Hello!" # Add a new app via declarative API. # Existing declarative app and dynamic app should not be affected. @@ -445,46 +434,35 @@ def __call__(self, *args) -> str: ), ) client.deploy_apps(config) + wait_for_condition(check_running, app_name="declarative-app-2") + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "wonderful world" - wait_for_condition( - check_application_running, name="declarative-app-2", route_prefix="/app-2" - ) - wait_for_condition( - check_application_running, name="declarative-app-1", route_prefix="/app-1" - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) + url = get_application_url(app_name="declarative-app-1") + assert httpx.post(url).text == "wonderful world" + + url = get_application_url(app_name="dynamic-app") + assert httpx.post(url).text == "Hello!" # Delete one of the apps via declarative API. # Other declarative app and dynamic app should not be affected. config.applications.pop(0) client.deploy_apps(config) + wait_for_condition(check_running, app_name="declarative-app-2") + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "wonderful world" - wait_for_condition( - check_application_running, name="declarative-app-2", route_prefix="/app-2" - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) + url = get_application_url(app_name="dynamic-app") + assert httpx.post(url).text == "Hello!" wait_for_condition(lambda: "declarative-app-1" not in serve.status().applications) # Now overwrite the declarative app with a dynamic app with the same name. # On subsequent declarative apply, that app should not be affected. serve.run(D.bind(), name="declarative-app-2", route_prefix="/app-2") - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", - ) + wait_for_condition(check_running, app_name="declarative-app-2") + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "Hello!" config.applications = [ ServeApplicationSchema( @@ -494,39 +472,41 @@ def __call__(self, *args) -> str: ), ] client.deploy_apps(config) + wait_for_condition(check_running, app_name="declarative-app-1") + url = get_application_url(app_name="declarative-app-1") + assert httpx.post(url).text == "wonderful world" - wait_for_condition( - check_application_running, - name="declarative-app-1", - route_prefix="/app-1", - ) - wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", - ) - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", - ) + wait_for_condition(check_running, app_name="dynamic-app") + url = get_application_url(app_name="dynamic-app") + assert httpx.post(url).text == "Hello!" + + wait_for_condition(check_running, app_name="declarative-app-2") + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "Hello!" # Verify that the controller does not delete the dynamic apps on recovery. ray.kill(client._controller, no_restart=False) + + wait_for_condition(check_running, app_name="declarative-app-1") + # It takes some time for the target groups to be ready after controller recovery. + # So we make sure the target groups are ready before obtaining the URL. wait_for_condition( - check_application_running, - name="dynamic-app", - route_prefix="/dynamic", - msg="Hello!", + check_target_groups_ready, client=client, app_name="declarative-app-1" ) + url = get_application_url(app_name="declarative-app-1") + assert httpx.post(url).text == "wonderful world" + + wait_for_condition(check_running, app_name="dynamic-app") + wait_for_condition(check_target_groups_ready, client=client, app_name="dynamic-app") + url = get_application_url(app_name="dynamic-app") + assert httpx.post(url).text == "Hello!" + + wait_for_condition(check_running, app_name="declarative-app-2") wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - msg="Hello!", + check_target_groups_ready, client=client, app_name="declarative-app-2" ) + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "Hello!" # Now overwrite the dynamic app with a declarative one and check that it gets # deleted upon another apply that doesn't include it. @@ -538,11 +518,9 @@ def __call__(self, *args) -> str: ), ] client.deploy_apps(config) - wait_for_condition( - check_application_running, - name="declarative-app-2", - route_prefix="/app-2", - ) + wait_for_condition(check_running, app_name="declarative-app-2") + url = get_application_url(app_name="declarative-app-2") + assert httpx.post(url).text == "wonderful world" config.applications = [] client.deploy_apps(config) diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index aab09ebdbbaa..9bafe7b4f9b3 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -100,7 +100,7 @@ def __init__( self._node_instance_id = None self._node_id_is_set = False self._actor_id = None - self._port = None + self._internal_grpc_port = None self._pg_bundles = None self._initialization_latency_s = -1 self._docs_path = None From a48832856320d953a956676b3e23b92abf53e28a Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Thu, 11 Sep 2025 11:01:53 -0700 Subject: [PATCH 1165/1566] [Doc][Core] Fix the Environment Variable Name in the Ray Event Export Doc (#56455) Signed-off-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- doc/source/ray-observability/user-guides/ray-event-export.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/ray-observability/user-guides/ray-event-export.rst b/doc/source/ray-observability/user-guides/ray-event-export.rst index 4c44021062c2..89ef27bcc46c 100644 --- a/doc/source/ray-observability/user-guides/ray-event-export.rst +++ b/doc/source/ray-observability/user-guides/ray-event-export.rst @@ -23,7 +23,7 @@ Enable event reporting To enable event reporting, you need to set the ``RAY_enable_core_worker_ray_event_to_aggregator`` environment variable to ``1`` when starting each Ray worker node. -To set the target HTTP endpoint, set the ``RAY_events_export_addr`` +To set the target HTTP endpoint, set the ``RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR`` environment variable to a valid HTTP URL with the ``http://`` URL scheme. Event format From af2ac97ead5828f4e62fa60ef30c5e2ad19e8888 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 11 Sep 2025 11:30:44 -0700 Subject: [PATCH 1166/1566] [core] deflake darwin://python/ray/tests:test_metric_cardinality_otel (#56456) The commit https://github.com/ray-project/ray/commit/ef7169a77d254a3c8e0779f80d61b2ba5c8a0198 fixed a bug where Ray continued emitting metrics from dead workers. However, this change made the test `darwin://python/ray/tests:test_metric_cardinality_otel` flaky. The test assumed that all metrics would appear in every Prometheus poll, but in reality, data points for different metrics can arrive at different intervals. This PR fixes the issue by checking for the presence of each metric independently. Test: - CI - Run test locally Closes https://github.com/ray-project/ray/issues/56449. Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/tests/test_metric_cardinality.py | 91 +++++++++++---------- 1 file changed, 47 insertions(+), 44 deletions(-) diff --git a/python/ray/tests/test_metric_cardinality.py b/python/ray/tests/test_metric_cardinality.py index c7b429cdef9d..e44b37b3e3f0 100644 --- a/python/ray/tests/test_metric_cardinality.py +++ b/python/ray/tests/test_metric_cardinality.py @@ -75,7 +75,7 @@ async def run(self): ray.get(obj_refs) -def _cardinality_level_test(_setup_cluster_for_test, cardinality_level): +def _cardinality_level_test(_setup_cluster_for_test, cardinality_level, metric): """ Test that the ray_tasks and ray_actors metric are reported with the expected cardinality level """ @@ -84,43 +84,42 @@ def _cardinality_level_test(_setup_cluster_for_test, cardinality_level): def _validate(): metric_samples = fetch_prometheus_metrics(prom_addresses) - for metric in _TO_TEST_METRICS: - samples = metric_samples.get(metric) - assert samples, f"Metric {metric} not found in samples" - for sample in samples: - if cardinality_level == "recommended": - # If the cardinality level is recommended, the WorkerId tag should - # be removed - assert ( - sample.labels.get(WORKER_ID_TAG_KEY) is None - ), f"Sample {sample} contains WorkerId tag" - elif cardinality_level == "legacy": - # If the cardinality level is legacy, the WorkerId tag should be - # present - assert ( - sample.labels.get(WORKER_ID_TAG_KEY) is not None - ), f"Sample {sample} does not contain WorkerId tag" - if metric == "ray_tasks" or metric == "ray_actors": - assert ( - sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is not None - ), f"Sample {sample} does not contain Name tag" - elif cardinality_level == "low": - # If the cardinality level is low, the WorkerId and Name tags should - # be removed + samples = metric_samples.get(metric) + assert samples, f"Metric {metric} not found in samples" + for sample in samples: + if cardinality_level == "recommended": + # If the cardinality level is recommended, the WorkerId tag should + # be removed + assert ( + sample.labels.get(WORKER_ID_TAG_KEY) is None + ), f"Sample {sample} contains WorkerId tag" + elif cardinality_level == "legacy": + # If the cardinality level is legacy, the WorkerId tag should be + # present + assert ( + sample.labels.get(WORKER_ID_TAG_KEY) is not None + ), f"Sample {sample} does not contain WorkerId tag" + if metric == "ray_tasks" or metric == "ray_actors": assert ( - sample.labels.get(WORKER_ID_TAG_KEY) is None - ), f"Sample {sample} contains WorkerId tag" - if metric == "ray_tasks" or metric == "ray_actors": - assert ( - sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is None - ), f"Sample {sample} contains Name tag" - else: - raise ValueError(f"Unknown cardinality level: {cardinality_level}") - - # The Component tag should be present on all cardinality levels + sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is not None + ), f"Sample {sample} does not contain Name tag" + elif cardinality_level == "low": + # If the cardinality level is low, the WorkerId and Name tags should + # be removed assert ( - sample.labels.get(_COMPONENT_TAG_KEY) is not None - ), f"Sample {sample} does not contain Component tag" + sample.labels.get(WORKER_ID_TAG_KEY) is None + ), f"Sample {sample} contains WorkerId tag" + if metric == "ray_tasks" or metric == "ray_actors": + assert ( + sample.labels.get(TASK_OR_ACTOR_NAME_TAG_KEY) is None + ), f"Sample {sample} contains Name tag" + else: + raise ValueError(f"Unknown cardinality level: {cardinality_level}") + + # The Component tag should be present on all cardinality levels + assert ( + sample.labels.get(_COMPONENT_TAG_KEY) is not None + ), f"Sample {sample} does not contain Component tag" wait_for_assertion( _validate, @@ -131,14 +130,18 @@ def _validate(): @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") @pytest.mark.parametrize( - "_setup_cluster_for_test,cardinality_level", - [("recommended", "recommended"), ("legacy", "legacy")], + "_setup_cluster_for_test,cardinality_level,metric", + [ + (cardinality, cardinality, metric) + for cardinality in ["recommended", "legacy"] + for metric in _TO_TEST_METRICS + ], indirect=["_setup_cluster_for_test"], ) def test_cardinality_recommended_and_legacy_levels( - _setup_cluster_for_test, cardinality_level + _setup_cluster_for_test, cardinality_level, metric ): - _cardinality_level_test(_setup_cluster_for_test, cardinality_level) + _cardinality_level_test(_setup_cluster_for_test, cardinality_level, metric) # We only enable low cardinality test for open telemetry because the legacy opencensus @@ -149,12 +152,12 @@ def test_cardinality_recommended_and_legacy_levels( reason="OpenTelemetry is not enabled", ) @pytest.mark.parametrize( - "_setup_cluster_for_test,cardinality_level", - [("low", "low")], + "_setup_cluster_for_test,cardinality_level,metric", + [("low", "low", metric) for metric in _TO_TEST_METRICS], indirect=["_setup_cluster_for_test"], ) -def test_cardinality_low_levels(_setup_cluster_for_test, cardinality_level): - _cardinality_level_test(_setup_cluster_for_test, cardinality_level) +def test_cardinality_low_levels(_setup_cluster_for_test, cardinality_level, metric): + _cardinality_level_test(_setup_cluster_for_test, cardinality_level, metric) if __name__ == "__main__": From e76a819eaa69ce837a8de35ac89f463c6d9e7981 Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Thu, 11 Sep 2025 12:25:08 -0700 Subject: [PATCH 1167/1566] Add operator panels id list to dataset export (#56428) ## Why are these changes needed? Adds a new resource utilization graph that combines CPU and GPU resources into a single graph. Exports the panel ids for OPERATOR_PANELS with the ray dataset metadata. This can be used by importers of the ray dataset data to determine which panels are relevant to show for dataset operators. This follows a similar patter to Train export (#53072) ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../modules/metrics/dashboards/common.py | 9 ++++++ .../dashboards/data_dashboard_panels.py | 30 +++++++++++++++++++ .../ray/data/_internal/metadata_exporter.py | 20 +++++++++++++ .../protobuf/export_dataset_metadata.proto | 11 +++++++ 4 files changed, 70 insertions(+) diff --git a/python/ray/dashboard/modules/metrics/dashboards/common.py b/python/ray/dashboard/modules/metrics/dashboards/common.py index 4e6b82a21330..a4a1e4b4787e 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/common.py +++ b/python/ray/dashboard/modules/metrics/dashboards/common.py @@ -2,7 +2,10 @@ from enum import Enum from typing import List, Optional +from ray.util.annotations import DeveloperAPI + +@DeveloperAPI @dataclass class GridPos: x: int @@ -30,11 +33,13 @@ class GridPos: } +@DeveloperAPI class TargetTemplate(Enum): GRAPH = GRAPH_TARGET_TEMPLATE HEATMAP = HEATMAP_TARGET_TEMPLATE +@DeveloperAPI @dataclass class Target: """Defines a Grafana target (time-series query) within a panel. @@ -360,6 +365,7 @@ class Target: } +@DeveloperAPI class PanelTemplate(Enum): GRAPH = GRAPH_PANEL_TEMPLATE HEATMAP = HEATMAP_TEMPLATE @@ -368,6 +374,7 @@ class PanelTemplate(Enum): GAUGE = GAUGE_PANEL_TEMPLATE +@DeveloperAPI @dataclass class Panel: """Defines a Grafana panel (graph) for the Ray dashboard page. @@ -397,6 +404,7 @@ class Panel: template: Optional[PanelTemplate] = PanelTemplate.GRAPH +@DeveloperAPI @dataclass class Row: """Defines a Grafana row that can contain multiple panels. @@ -413,6 +421,7 @@ class Row: collapsed: bool = False +@DeveloperAPI @dataclass class DashboardConfig: # This dashboard name is an internal key used to determine which env vars diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index bc185d3854cf..4b3dcf374536 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -810,6 +810,29 @@ stack=False, ) +ALL_RESOURCES_UTILIZATION_PANEL = Panel( + id=57, + title="All logical resources utilization", + description=( + "Shows all logical resources utilization on a single graph. Filtering by operator is recommended." + ), + unit="cores", + targets=[ + Target( + expr='sum(ray_data_cpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', + legend="CPU: {{dataset}}, {{operator}}", + ), + Target( + expr='sum(ray_data_gpu_usage_cores{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', + legend="GPU: {{dataset}}, {{operator}}", + ), + ], + fill=0, + stack=False, +) + +OPERATOR_PANELS = [TASK_THROUGHPUT_BY_NODE_PANEL, ALL_RESOURCES_UTILIZATION_PANEL] + DATA_GRAFANA_ROWS = [ # Overview Row Row( @@ -934,6 +957,13 @@ ], collapsed=True, ), + # Operator Panels Row (these graphs should only be viewed when filtering down to a single operator) + Row( + title="Operator Panels", + id=108, + panels=[ALL_RESOURCES_UTILIZATION_PANEL], + collapsed=True, + ), ] # Get all panel IDs from both top-level panels and panels within rows diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index 3ce64c3aef6f..59f90db33164 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -12,6 +12,13 @@ check_export_api_enabled, get_export_event_logger, ) +from ray.core.generated.export_dataset_metadata_pb2 import ( + ExportDatasetMetadata as ProtoDatasetMetadata, +) +from ray.dashboard.modules.metrics.dashboards.common import Panel +from ray.dashboard.modules.metrics.dashboards.data_dashboard_panels import ( + OPERATOR_PANELS, +) from ray.data._internal.execution.dataset_state import DatasetState from ray.data.context import DataContext @@ -259,12 +266,25 @@ def dataset_metadata_to_proto(dataset_metadata: DatasetMetadata) -> Any: execution_start_time=dataset_metadata.execution_start_time, execution_end_time=dataset_metadata.execution_end_time, state=ProtoDatasetMetadata.DatasetState.Value(dataset_metadata.state), + operator_panels=[_to_proto_dashboard_panel(p) for p in OPERATOR_PANELS], ) proto_dataset_metadata.topology.CopyFrom(proto_topology) return proto_dataset_metadata +def _to_proto_dashboard_panel( + panel: Panel, +) -> ProtoDatasetMetadata.DashboardPanelMetadata: + """Convert Dashboard Panel to protobuf format.""" + proto_panel = ProtoDatasetMetadata.DashboardPanelMetadata( + id=str(panel.id), + title=panel.title, + ) + + return proto_panel + + def get_dataset_metadata_exporter() -> "DatasetMetadataExporter": """Get the dataset metadata exporter instance. diff --git a/src/ray/protobuf/export_dataset_metadata.proto b/src/ray/protobuf/export_dataset_metadata.proto index a508b5c3d186..e9135441f7e1 100644 --- a/src/ray/protobuf/export_dataset_metadata.proto +++ b/src/ray/protobuf/export_dataset_metadata.proto @@ -88,6 +88,13 @@ message ExportDatasetMetadata { PENDING = 4; } + message DashboardPanelMetadata { + // Unique identifier for the panel + string id = 1; + // Display name of the panel + string title = 2; + } + // The operator DAG structure Topology topology = 1; @@ -111,4 +118,8 @@ message ExportDatasetMetadata { // The state of the dataset DatasetState state = 8; + + // List of metric panels to show for operators + // When showing these panels, it is expected to filter the metrics by operator ID. + repeated DashboardPanelMetadata operator_panels = 9; } From 045ca399120d7851a1903116a806f3ad4d79b67f Mon Sep 17 00:00:00 2001 From: Sven Mika Date: Thu, 11 Sep 2025 21:44:47 +0200 Subject: [PATCH 1168/1566] [RLlib] Fix Metrics/Stats lifetime count and throughput measurement for async remote actors. (#56047) Fix Metrics/Stats lifetime count and throughput measurement for async remote actors. ## Why are these changes needed? ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: sven1977 Signed-off-by: simonsays1980 Co-authored-by: simonsays1980 Signed-off-by: Douglas Strodtman --- rllib/utils/metrics/stats.py | 165 ++++++++++++------------ rllib/utils/metrics/tests/test_stats.py | 21 +-- 2 files changed, 92 insertions(+), 94 deletions(-) diff --git a/rllib/utils/metrics/stats.py b/rllib/utils/metrics/stats.py index d4f77aeee342..5ec957580c34 100644 --- a/rllib/utils/metrics/stats.py +++ b/rllib/utils/metrics/stats.py @@ -1,58 +1,21 @@ from collections import defaultdict, deque -import time import copy -import threading import heapq +import threading +import time from typing import Any, Dict, List, Union, Optional, Tuple +import uuid import numpy as np from ray.rllib.utils import force_list -from ray.rllib.utils.framework import try_import_tf, try_import_torch +from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import convert_to_numpy from ray.util.annotations import DeveloperAPI -_, tf, _ = try_import_tf() torch, _ = try_import_torch() -@DeveloperAPI -def compute_percentiles(sorted_list, percentiles): - """Compute percentiles from an already sorted list. - - Note that this will not raise an error if the list is not sorted to avoid overhead. - - Args: - sorted_list: A list of numbers sorted in ascending order - percentiles: A list of percentile values (0-100) - - Returns: - A dictionary mapping percentile values to their corresponding data values - """ - n = len(sorted_list) - - if n == 0: - return {p: None for p in percentiles} - - results = {} - - for p in percentiles: - index = (p / 100) * (n - 1) - - if index.is_integer(): - results[p] = sorted_list[int(index)] - else: - lower_index = int(index) - upper_index = lower_index + 1 - weight = index - lower_index - results[p] = ( - sorted_list[lower_index] * (1 - weight) - + sorted_list[upper_index] * weight - ) - - return results - - @DeveloperAPI class Stats: """A container class holding a number of values and executing reductions over them. @@ -172,9 +135,9 @@ def __init__( "A window must be specified when reduce is 'percentiles'!" ) if reduce_per_index_on_aggregate is not False: - print(reduce_per_index_on_aggregate) raise ValueError( - "`reduce_per_index_on_aggregate` must be `False` when `percentiles` is not `False`!" + f"`reduce_per_index_on_aggregate` ({reduce_per_index_on_aggregate})" + f" must be `False` when `percentiles` is not `False`!" ) if percentiles is True: @@ -234,10 +197,11 @@ def __init__( self._has_returned_zero = False # On each `.reduce()` call, we store the result of this call in - # reduce_history[0] and the previous `reduce()` result in reduce_history[1]. - self._reduce_history: deque[List[Any]] = deque( - [[np.nan], [np.nan], [np.nan]], maxlen=3 - ) + # self._last_reduce. + self._last_reduced = [np.nan] + # The ID of this Stats instance. + self.id_ = str(uuid.uuid4()) + self._prev_merge_values = defaultdict(int) self._throughput_ema_coeff = throughput_ema_coeff self._throughput_stats = None @@ -283,7 +247,7 @@ def check_value(self, value: Any) -> None: if self._reduce_method is not None: if isinstance(value, np.ndarray) and value.shape == (): return - elif (torch and torch.is_tensor(value)) or (tf and tf.is_tensor(value)): + elif torch and torch.is_tensor(value): self._is_tensor = True if tuple(value.shape) == (): return @@ -371,27 +335,13 @@ def peek(self, compile: bool = True) -> Union[Any, List[Any]]: return compute_percentiles(reduced_values, self._percentiles) return reduced_value else: - return_value = self.get_reduce_history()[-1].copy() + return_value = self._last_reduced if compile: # We don't need to check for self._reduce_method or percentiles here # because we only store the reduced value if there is a reduce method. return_value = return_value[0] return return_value - def get_reduce_history(self) -> List[Any]: - """Returns the history of reduced values as a list. - - The history contains the most recent reduced values, with the most recent value - at the end of the list. The length of the history is limited by the maxlen of - the internal history deque. - - Returns: - A list containing the history of reduced values. - """ - # Turning the reduce history into a deque avoids mutating the original reduce - # history's elements. - return list(self._reduce_history) - @property def throughput(self) -> float: """Returns the current throughput estimate per second. @@ -445,7 +395,7 @@ class for details on the reduction logic applied to the values list, based on self._set_values(reduced_internal_values_list) else: reduced_internal_values_list = None - reduced = self.get_reduce_history()[-1] + reduced = self._last_reduced reduced = self._numpy_if_necessary(reduced) @@ -454,7 +404,7 @@ class for details on the reduction logic applied to the values list, based on # It only makes sense to extend the history if we are reducing to a single # value. We need to make a copy here because the new_values_list is a # reference to the internal values list - self._reduce_history.append(force_list(reduced.copy())) + self._last_reduced = force_list(reduced.copy()) else: # If there is a window and no reduce method, we don't want to use the reduce # history to return reduced values in other methods @@ -607,7 +557,7 @@ def merge_in_parallel(self, *others: "Stats") -> None: # Mark that we have new values since we modified the values list self._has_new_values = True - def _clear_throughput(self) -> None: + def clear_throughput(self) -> None: """Clears the throughput Stats, if applicable and `self` has throughput. Also resets `self._last_throughput_measure_time` to -1 such that the Stats @@ -751,7 +701,7 @@ def get_state(self) -> Dict[str, Any]: "window": self._window, "ema_coeff": self._ema_coeff, "clear_on_reduce": self._clear_on_reduce, - "_hist": list(self.get_reduce_history()), + "_last_reduced": self._last_reduced, "_is_tensor": self._is_tensor, } if self._throughput_stats is not None: @@ -810,13 +760,13 @@ def from_state(state: Dict[str, Any]) -> "Stats": # Compatibility to old checkpoints where a reduce sometimes resulted in a single # values instead of a list such that the history would be a list of integers # instead of a list of lists. - # TODO(Artur): Remove this after a few Ray releases. - if not isinstance(state["_hist"][0], list): - state["_hist"] = list(map(lambda x: [x], state["_hist"])) - - stats._reduce_history = deque( - state["_hist"], maxlen=stats._reduce_history.maxlen - ) + if "_hist" in state: + # TODO(Artur): Remove this after a few Ray releases. + if not isinstance(state["_hist"][0], list): + state["_hist"] = list(map(lambda x: [x], state["_hist"])) + stats._last_reduced = state["_hist"][-1] + else: + stats._last_reduced = state.get("_last_reduced", [np.nan]) return stats @staticmethod @@ -851,7 +801,8 @@ def similar_to( else False, throughput_ema_coeff=other._throughput_ema_coeff, ) - stats._reduce_history = other._reduce_history + stats.id_ = other.id_ + stats._last_reduced = other._last_reduced return stats def _set_values(self, new_values): @@ -936,8 +887,6 @@ def _reduced_values(self, values=None) -> Tuple[Any, Any]: def safe_isnan(value): if torch and isinstance(value, torch.Tensor): return torch.isnan(value) - if tf and tf.is_tensor(value): - return tf.math.is_nan(value) return np.isnan(value) # Convert from numpy to primitive python types, if original `values` are @@ -966,6 +915,43 @@ def safe_isnan(value): return [reduced], values +@DeveloperAPI +def compute_percentiles(sorted_list, percentiles): + """Compute percentiles from an already sorted list. + + Note that this will not raise an error if the list is not sorted to avoid overhead. + + Args: + sorted_list: A list of numbers sorted in ascending order + percentiles: A list of percentile values (0-100) + + Returns: + A dictionary mapping percentile values to their corresponding data values + """ + n = len(sorted_list) + + if n == 0: + return {p: None for p in percentiles} + + results = {} + + for p in percentiles: + index = (p / 100) * (n - 1) + + if index.is_integer(): + results[p] = sorted_list[int(index)] + else: + lower_index = int(index) + upper_index = lower_index + 1 + weight = index - lower_index + results[p] = ( + sorted_list[lower_index] * (1 - weight) + + sorted_list[upper_index] * weight + ) + + return results + + @DeveloperAPI def merge_stats(base_stats: Optional[Stats], incoming_stats: List[Stats]) -> Stats: """Merges Stats objects. @@ -991,13 +977,21 @@ def merge_stats(base_stats: Optional[Stats], incoming_stats: List[Stats]) -> Sta if new_root_stats: # We need to deepcopy here first because stats from incoming_stats may be altered in the future base_stats = copy.deepcopy(incoming_stats[0]) - base_stats._clear_throughput() + base_stats.clear_throughput() # Note that we may take a mean of means here, which is not the same as a # mean of all values. In the future, we could implement a weighted mean # of means here by introducing a new Stats object that counts samples # for each mean Stats object. if len(incoming_stats) > 1: base_stats.merge_in_parallel(*incoming_stats[1:]) + if ( + base_stats._reduce_method == "sum" + and base_stats._inf_window + and base_stats._clear_on_reduce is False + ): + for stat in incoming_stats: + base_stats._prev_merge_values[stat.id_] = stat.peek() + elif len(incoming_stats) > 0: # Special case: `base_stats` is a lifetime sum (reduce=sum, # clear_on_reduce=False) -> We subtract the previous value (from 2 @@ -1016,29 +1010,28 @@ def merge_stats(base_stats: Optional[Stats], incoming_stats: List[Stats]) -> Sta for stat in incoming_stats: # Subtract "lifetime counts" from the Stat's values to not count # older "lifetime counts" more than once. - _hist = stat.get_reduce_history() - prev_reduction, new_reduction = _hist[-2][0], _hist[-1][0] - # This may not be populated yet -> use 0 then. - if np.isnan(prev_reduction): - prev_reduction = 0 + prev_reduction = base_stats._prev_merge_values[stat.id_] + new_reduction = stat.peek(compile=True) base_stats.values[-1] -= prev_reduction # Keep track of how many counts we actually gained (for throughput # recomputation). added_sum += new_reduction - prev_reduction + base_stats._prev_merge_values[stat.id_] = new_reduction + parallel_merged_stat = copy.deepcopy(incoming_stats[0]) if len(incoming_stats) > 1: # There are more than one incoming parallel others -> Merge all of # them in parallel (equal importance). - incoming_stats[0].merge_in_parallel(*incoming_stats[1:]) + parallel_merged_stat.merge_in_parallel(*incoming_stats[1:]) # Merge incoming Stats object into base Stats object on time axis # (giving incoming ones priority). if base_stats._reduce_method == "mean" and not base_stats._clear_on_reduce: # If we don't clear values, values that are not cleared would contribute # to the mean multiple times. - base_stats._set_values(incoming_stats[0].values.copy()) + base_stats._set_values(parallel_merged_stat.values.copy()) else: - base_stats.merge_on_time_axis(incoming_stats[0]) + base_stats.merge_on_time_axis(parallel_merged_stat) # Keep track of throughput through the sum of added counts. if base_stats.has_throughput: base_stats._recompute_throughput(added_sum) diff --git a/rllib/utils/metrics/tests/test_stats.py b/rllib/utils/metrics/tests/test_stats.py index e85783a238f1..ec4f36700533 100644 --- a/rllib/utils/metrics/tests/test_stats.py +++ b/rllib/utils/metrics/tests/test_stats.py @@ -1,6 +1,7 @@ import pytest import time import numpy as np +import re from ray.rllib.utils.metrics.stats import Stats, merge_stats from ray.rllib.utils.metrics.metrics_logger import MetricsLogger @@ -343,7 +344,7 @@ def test_similar_to(): # Test that adding to the similar stats does not affect the original stats similar.push(10) check(original.peek(), 3) - check(original.get_reduce_history(), [[np.nan], [np.nan], [3]]) + check(original._last_reduced, [3]) def test_reduce_history(): @@ -359,19 +360,19 @@ def test_reduce_history(): ) # Initially history should contain NaN values - check(stats.get_reduce_history(), [[np.nan], [np.nan], [np.nan]]) + check(stats._last_reduced, [np.nan]) # Push values and reduce stats.push(1) stats.push(2) check(stats.reduce(), 3) - check(stats.get_reduce_history(), [[np.nan], [np.nan], [3]]) + check(stats._last_reduced, [3]) # Push more values and reduce stats.push(3) stats.push(4) check(stats.reduce(), 10) - check(stats.get_reduce_history(), [[np.nan], [3], [10]]) + check(stats._last_reduced, [10]) def test_reduce_history_with_clear(): @@ -390,13 +391,13 @@ def test_reduce_history_with_clear(): stats.push(1) stats.push(2) check(stats.reduce(), 3) - check(stats.get_reduce_history(), [[np.nan], [np.nan], [3]]) + check(stats._last_reduced, [3]) check(len(stats), 0) # Values should be cleared stats.push(3) stats.push(4) check(stats.reduce(), 7) - check(stats.get_reduce_history(), [[np.nan], [3], [7]]) + check(stats._last_reduced, [7]) check(len(stats), 0) @@ -1179,12 +1180,16 @@ def test_percentiles(): # Test validation - percentiles must be None for other reduce methods with pytest.raises( - ValueError, match="`reduce` must be `None` when `percentiles` is not `False" + ValueError, match="`reduce` must be `None` when `percentiles` is not `False`" ): Stats(reduce="mean", window=5, percentiles=[50]) with pytest.raises( - ValueError, match="`reduce_per_index_on_aggregate` must be `False`" + ValueError, + match=re.escape( + "`reduce_per_index_on_aggregate` (True) must be `False` " + "when `percentiles` is not `False`!" + ), ): Stats( reduce=None, reduce_per_index_on_aggregate=True, percentiles=True, window=5 From 1f28e82a5ebf4f0807925d9416905d08d0e8493f Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Thu, 11 Sep 2025 13:10:58 -0700 Subject: [PATCH 1169/1566] [train][checkpoint] Add checkpoint_upload_mode to ray.train.report (#55637) Implement async checkpoint uploads in ray.train.report(..., checkpoint_upload_mode), supporting SYNC (default), ASYNC, and NO_UPLOAD. * Introduce per-worker checkpoint counters to preserve report order. * Use a thread pool to limit concurrent uploads and avoid OOM. * Wrap the training function to wait for pending uploads before exiting. * Add delete_local_checkpoint_after_upload to control temporary local directory cleanup. --------- Signed-off-by: Timothy Seah Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/train/__init__.py | 3 + python/ray/train/v2/BUILD.bazel | 32 +++ .../checkpoint/checkpoint_manager.py | 16 +- .../train/v2/_internal/execution/context.py | 161 ++++++++++--- .../execution/controller/controller.py | 4 +- .../train/v2/_internal/execution/storage.py | 3 +- .../v2/_internal/execution/train_fn_utils.py | 17 +- .../execution/worker_group/thread_runner.py | 7 +- .../execution/worker_group/worker.py | 8 +- python/ray/train/v2/api/report_config.py | 21 ++ python/ray/train/v2/api/train_fn_utils.py | 17 +- .../v2/tests/test_async_checkpointing.py | 223 ++++++++++++++++++ .../train/v2/tests/test_checkpoint_manager.py | 4 +- .../ray/train/v2/tests/test_thread_runner.py | 16 +- python/ray/train/v2/tests/test_worker.py | 76 ++++++ 15 files changed, 553 insertions(+), 55 deletions(-) create mode 100644 python/ray/train/v2/api/report_config.py create mode 100644 python/ray/train/v2/tests/test_async_checkpointing.py create mode 100644 python/ray/train/v2/tests/test_worker.py diff --git a/python/ray/train/__init__.py b/python/ray/train/__init__.py index 5b72413f79bf..a7cd2aad13af 100644 --- a/python/ray/train/__init__.py +++ b/python/ray/train/__init__.py @@ -34,6 +34,7 @@ RunConfig, ScalingConfig, ) + from ray.train.v2.api.report_config import CheckpointUploadMode # noqa: F811 from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint # noqa: F811 from ray.train.v2.api.result import Result # noqa: F811 from ray.train.v2.api.train_fn_utils import ( # noqa: F811 @@ -82,6 +83,8 @@ if is_v2_enabled(): __all__.append("UserCallback") UserCallback.__module__ = "ray.train" + __all__.append("CheckpointUploadMode") + CheckpointUploadMode.__module__ = "ray.train" __all__.append("get_all_reported_checkpoints") get_all_reported_checkpoints.__module__ = "ray.train" __all__.append("ReportedCheckpoint") diff --git a/python/ray/train/v2/BUILD.bazel b/python/ray/train/v2/BUILD.bazel index 7ec0bed9018e..c19c054dec37 100644 --- a/python/ray/train/v2/BUILD.bazel +++ b/python/ray/train/v2/BUILD.bazel @@ -21,6 +21,22 @@ py_test( ], ) +py_test( + name = "test_async_checkpointing", + size = "medium", + srcs = ["tests/test_async_checkpointing.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_checkpoint_manager", size = "small", @@ -469,6 +485,22 @@ py_test( ], ) +py_test( + name = "test_worker", + size = "small", + srcs = ["tests/test_worker.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_worker_group", size = "medium", diff --git a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py index bb0ed40e5503..a4a086ca7f84 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py @@ -15,7 +15,7 @@ WorkerGroupCallback, ) from ray.train.v2._internal.execution.context import StorageContext -from ray.train.v2._internal.execution.storage import _delete_fs_path, _exists_at_fs_path +from ray.train.v2._internal.execution.storage import _exists_at_fs_path, delete_fs_path from ray.train.v2._internal.execution.worker_group import Worker from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint @@ -86,7 +86,7 @@ def __init__( # This tracks the number of report calls that have been processed # for the current worker group. - self._num_report_calls = 0 + self._current_report_index = 0 self._condition = asyncio.Condition() super().__init__(checkpoint_config) @@ -145,9 +145,9 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): for checkpoint_result in results_to_delete: checkpoint = checkpoint_result.checkpoint logger.debug("Deleting checkpoint: ", checkpoint) - _delete_fs_path(fs=checkpoint.filesystem, fs_path=checkpoint.path) + delete_fs_path(fs=checkpoint.filesystem, fs_path=checkpoint.path) - self._num_report_calls += 1 + self._current_report_index += 1 async def async_notify(): async with self._condition: @@ -283,7 +283,7 @@ def after_report( self, metrics: List[Dict[str, Any]], checkpoint: Optional[Checkpoint] ): if not checkpoint: - self._num_report_calls += 1 + self._current_report_index += 1 return rank_0_metrics = metrics[0] @@ -296,7 +296,7 @@ def after_report( # -------------------------- def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any]]: - self._num_report_calls = 0 + self._current_report_index = 0 latest_checkpoint = ( self.latest_checkpoint_result.checkpoint if self.latest_checkpoint_result @@ -308,12 +308,12 @@ def before_init_train_context(self, workers: List[Worker]) -> Dict[str, List[Any return train_context_args async def get_all_reported_checkpoints( - self, expected_num_report_calls: int + self, current_report_index: int ) -> List[ReportedCheckpoint]: """Once expected_num_checkpoints are reported, return the ReportedCheckpoints.""" async with self._condition: await self._condition.wait_for( - lambda: self._num_report_calls == expected_num_report_calls + lambda: self._current_report_index == current_report_index ) # TODO: might be nice for CheckpointManager to manage ReportedCheckpoint # instead of _TrainingResult but that is a large refactor. diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index d21678b307b6..b5965d97219e 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -2,6 +2,7 @@ import sys import threading import uuid +from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass, field from queue import Queue from typing import TYPE_CHECKING, Any, Dict, List, Optional @@ -12,9 +13,14 @@ from ray.train._internal import session from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor -from ray.train.v2._internal.execution.storage import StorageContext -from ray.train.v2._internal.util import _copy_doc, invoke_context_managers +from ray.train.v2._internal.execution.storage import StorageContext, delete_fs_path +from ray.train.v2._internal.util import ( + _copy_doc, + construct_user_exception_with_traceback, + invoke_context_managers, +) from ray.train.v2.api.config import RunConfig, ScalingConfig +from ray.train.v2.api.report_config import CheckpointUploadMode if TYPE_CHECKING: from ray.train import BackendConfig, Checkpoint, DataConfig @@ -30,6 +36,10 @@ logger = logging.getLogger(__file__) +# TODO: make this value manually or automatically configurable. +MAX_CHECKPOINT_UPLOAD_THREADS = 1 + + @dataclass(frozen=True) class TrainRunContext: """Holds the metadata and context for the current training run.""" @@ -101,8 +111,15 @@ class TrainContext: controller_actor: ActorHandle dataset_shard_provider: "DatasetShardProvider" + + # TODO: consolidate into CheckpointContext checkpoint: Optional["Checkpoint"] = None - num_report_calls: int = 0 + current_report_index: int = 0 + report_call_index: int = 0 + report_order_condition: threading.Condition = threading.Condition() + checkpoint_upload_threadpool: ThreadPoolExecutor = ThreadPoolExecutor( + max_workers=MAX_CHECKPOINT_UPLOAD_THREADS + ) @_copy_doc(session.get_experiment_name) def get_experiment_name(self) -> str: @@ -140,12 +157,13 @@ def get_synchronization_actor(self): return self.execution_context.synchronization_actor def get_checkpoint(self): - return self.checkpoint + with self.report_order_condition: + return self.checkpoint def get_all_reported_checkpoints(self) -> List["ReportedCheckpoint"]: return ray.get( self.controller_actor.get_all_reported_checkpoints.remote( - self.num_report_calls + self.current_report_index ) ) @@ -197,11 +215,12 @@ def _sync_checkpoint_dir_name_across_ranks( ) ) - def _save_checkpoint( + def _upload_checkpoint( self, checkpoint_dir_name: str, metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, + delete_local_checkpoint_after_upload: bool = False, ) -> _TrainingResult: """Save the checkpoint to remote storage. @@ -209,6 +228,7 @@ def _save_checkpoint( checkpoint_dir_name: The checkpoint dir to persist to. metrics: The metrics to report. checkpoint: The checkpoint to report. + delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. Returns: The training result object containing the persisted checkpoint. @@ -218,32 +238,68 @@ def _save_checkpoint( return _TrainingResult(checkpoint=None, metrics=metrics) # Persist the checkpoint to the remote storage path. - persisted_checkpoint = self.storage_context.persist_current_checkpoint( - checkpoint, checkpoint_dir_name - ) - # Update latest checkpoint as the persisted checkpoint. - self.checkpoint = persisted_checkpoint + try: + persisted_checkpoint = self.storage_context.persist_current_checkpoint( + checkpoint, checkpoint_dir_name + ) + except FileNotFoundError: + logger.exception( + f"Failed to find local checkpoint {checkpoint} when attempting to upload it. " + "This could be caused by multiple workers on a node attempting to upload the " + "same directory, and then one of the workers deletes the directory before the " + "others finish." + ) + raise + # TODO: consider deleting local checkpoint as async callback instead + if delete_local_checkpoint_after_upload: + try: + delete_fs_path(checkpoint.filesystem, checkpoint.path) + except Exception: + logger.exception( + f"Failed to delete the local checkpoint after a successful upload: {checkpoint}" + ) return _TrainingResult(checkpoint=persisted_checkpoint, metrics=metrics) + def _wait_then_report( + self, training_result: _TrainingResult, report_call_index: int + ) -> None: + """Thread waits for its turn before reporting training result to result queue. + + It does this in order to guarantee the FIFO processing of checkpoints. + + The queue size is set to 1 to avoid accumulating unprocessed results. + If the queue is full, the put operation blocks until a result is consumed. + + TODO: Add a metric to track the blocking time waiting for the + training result to be consumed by the controller. + """ + with self.report_order_condition: + self.report_order_condition.wait_for( + lambda: self.current_report_index == report_call_index - 1 + ) + logger.info( + f"Reporting training result {report_call_index}: {training_result}" + ) + # Update latest checkpoint as the persisted checkpoint. + if training_result.checkpoint: + self.checkpoint = training_result.checkpoint + self.get_result_queue().put(training_result) + self.current_report_index += 1 + self.report_order_condition.notify_all() + def report( self, metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, + checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, + delete_local_checkpoint_after_upload: Optional[bool] = None, ) -> None: """ Upload checkpoint to remote storage and put a training result on the result queue of this worker process. - Args: - metrics: The metrics to report. - checkpoint: The checkpoint to report. - checkpoint_dir_name: The name of the checkpoint dir - in this iteration. Note: If not set, the checkpoint will - be stored in the default storage path. If set, make sure - this value is unique for each iteration. - TODO: the report function should be implemented in the worker instead of in the train context. The train context should only keep the train related information and not the worker related actions. This refactor @@ -267,22 +323,65 @@ def report( for callback in self.execution_context.train_context_callbacks ] ): - # Step 1: sync the checkpoint dir name across ranks. + self.report_call_index += 1 + report_call_index = self.report_call_index + + # Sync the checkpoint dir name across ranks. checkpoint_dir_name = self._sync_checkpoint_dir_name_across_ranks( checkpoint_dir_name ) - # Step 2: save the checkpoint to remote storage. - training_result = self._save_checkpoint( - checkpoint_dir_name, metrics, checkpoint - ) - # Step 3: Report the training result to the result queue. - # The queue size is set to 1 to avoid accumulating unprocessed results. - # If the queue is full, the put operation blocks until a result is consumed. - # TODO (hpguo): Add a metrics to track the blocking time waiting for the - # training result to be consumed by the controller. - self.get_result_queue().put(training_result) - self.num_report_calls += 1 + # Upload checkpoint, wait for turn, and report. + if checkpoint_upload_mode == CheckpointUploadMode.SYNC: + training_result = self._upload_checkpoint( + checkpoint_dir_name, + metrics, + checkpoint, + delete_local_checkpoint_after_upload, + ) + self._wait_then_report(training_result, report_call_index) + + elif checkpoint_upload_mode == CheckpointUploadMode.NO_UPLOAD: + training_result = _TrainingResult( + checkpoint=checkpoint, metrics=metrics + ) + self._wait_then_report(training_result, report_call_index) + + elif checkpoint_upload_mode == CheckpointUploadMode.ASYNC: + + def _upload_checkpoint_and_report( + checkpoint_dir_name: str, + metrics: Dict[str, Any], + checkpoint: Optional["Checkpoint"], + report_call_index: int, + ) -> None: + try: + training_result = self._upload_checkpoint( + checkpoint_dir_name, + metrics, + checkpoint, + delete_local_checkpoint_after_upload, + ) + self._wait_then_report(training_result, report_call_index) + except Exception as e: + logger.exception( + "Async checkpoint upload failed - shutting down workers" + ) + self.execution_context.training_thread_runner.get_exception_queue().put( + construct_user_exception_with_traceback(e) + ) + + self.checkpoint_upload_threadpool.submit( + _upload_checkpoint_and_report, + checkpoint_dir_name, + metrics, + checkpoint, + report_call_index, + ) + else: + raise ValueError( + f"Invalid checkpoint upload mode: {checkpoint_upload_mode}" + ) # The global variable holding the current TrainContext diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 53074db40858..3d84796c4340 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -557,8 +557,8 @@ def get_training_failed_error(self) -> Optional[TrainingFailedError]: return None async def get_all_reported_checkpoints( - self, expected_num_report_calls: int + self, current_report_index: int ) -> List["ReportedCheckpoint"]: return await self._checkpoint_manager.get_all_reported_checkpoints( - expected_num_report_calls + current_report_index ) diff --git a/python/ray/train/v2/_internal/execution/storage.py b/python/ray/train/v2/_internal/execution/storage.py index 4ffc740c50af..abf80697da36 100644 --- a/python/ray/train/v2/_internal/execution/storage.py +++ b/python/ray/train/v2/_internal/execution/storage.py @@ -120,7 +120,8 @@ def _pyarrow_fs_copy_files( # TODO(justinvyu): Add unit tests for all these utils. -def _delete_fs_path(fs: pyarrow.fs.FileSystem, fs_path: str): +def delete_fs_path(fs: pyarrow.fs.FileSystem, fs_path: str): + """Deletes (fs, fs_path) or raises FileNotFoundError if it doesn't exist.""" is_dir = _is_directory(fs, fs_path) try: diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index b05f7dae0631..932bc69dd973 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -14,6 +14,7 @@ LocalTrainContext, TrainContext as ExternalTrainContext, ) +from ray.train.v2.api.report_config import CheckpointUploadMode logger = logging.getLogger(__name__) @@ -36,6 +37,8 @@ def report( metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, + checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, + delete_local_checkpoint_after_upload: Optional[bool] = None, ) -> None: """Upload checkpoint to remote storage and put a training result on the result queue. @@ -46,6 +49,10 @@ def report( in this iteration. Note: If not set, the checkpoint will be stored in the default storage path. If set, make sure this value is unique for each iteration. + checkpoint_upload_mode: The manner in which we want to upload the checkpoint. + Defaults to uploading the checkpoint synchronously. + This works when no checkpoint is provided but is not useful in that case. + delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. """ pass @@ -121,9 +128,15 @@ def report( metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, + checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, + delete_local_checkpoint_after_upload: Optional[bool] = None, ) -> None: return get_internal_train_context().report( - metrics, checkpoint, checkpoint_dir_name + metrics, + checkpoint, + checkpoint_dir_name, + checkpoint_upload_mode, + delete_local_checkpoint_after_upload, ) def get_checkpoint(self): @@ -166,6 +179,8 @@ def report( metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, + checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, + delete_local_checkpoint_after_upload: Optional[bool] = None, ) -> None: self._last_metrics = metrics self._last_checkpoint = checkpoint diff --git a/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py b/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py index 460b2f59c18a..df0e4cb28e65 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py +++ b/python/ray/train/v2/_internal/execution/worker_group/thread_runner.py @@ -44,10 +44,11 @@ def _run_target(): self._ret = result self._exc_queue.put(None) except BaseException as e: - # Exclude the first 2 frames from the traceback, which are - # the `ThreadRunner._run_target` and `construct_train_func` calls. + # Exclude the first 3 frames from the traceback, which are + # the `ThreadRunner._run_target`, `construct_train_func`, and + # train_fn_with_final_checkpoint_flush calls. self._exc_queue.put( - construct_user_exception_with_traceback(e, exclude_frames=2) + construct_user_exception_with_traceback(e, exclude_frames=3) ) with self._lock: diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index 2735a3991bbd..c890ad5c8a88 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -138,8 +138,14 @@ def run_train_fn(self, train_fn_ref: ObjectRefWrapper[Callable[[], None]]): logger.error(f"Error deserializing the training function: {e}") raise + def train_fn_with_final_checkpoint_flush(): + train_fn() + get_train_context().checkpoint_upload_threadpool.shutdown() + # Create and start the training thread. - get_train_context().execution_context.training_thread_runner.run(train_fn) + get_train_context().execution_context.training_thread_runner.run( + train_fn_with_final_checkpoint_flush + ) def get_metadata(self) -> ActorMetadata: return ActorMetadata( diff --git a/python/ray/train/v2/api/report_config.py b/python/ray/train/v2/api/report_config.py new file mode 100644 index 000000000000..bcd4393da287 --- /dev/null +++ b/python/ray/train/v2/api/report_config.py @@ -0,0 +1,21 @@ +from enum import Enum + +from ray.util.annotations import PublicAPI + + +@PublicAPI(stability="alpha") +class CheckpointUploadMode(Enum): + """The manner in which we want to upload the checkpoint. + + Args: + ASYNC: Upload checkpoint asynchronously. + SYNC: Upload checkpoint synchronously. + NO_UPLOAD: Do not upload checkpoint. + """ + + ASYNC = "ASYNC" + SYNC = "SYNC" + NO_UPLOAD = "NO_UPLOAD" + + def _default_delete_local_checkpoint_after_upload(self) -> bool: + return self == CheckpointUploadMode.ASYNC diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index 639867e29257..eec8274367c2 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -3,6 +3,7 @@ from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.context import TrainContext +from ray.train.v2.api.report_config import CheckpointUploadMode from ray.util.annotations import PublicAPI if TYPE_CHECKING: @@ -16,6 +17,8 @@ def report( metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, checkpoint_dir_name: Optional[str] = None, + checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, + delete_local_checkpoint_after_upload: Optional[bool] = None, ): """Report metrics and optionally save a checkpoint. @@ -88,10 +91,22 @@ def train_func(config): If provided, it must be unique across all checkpoints per worker to avoid naming collisions. Consider including identifiers such as the epoch or batch index in the name. + checkpoint_upload_mode: The manner in which we want to upload the checkpoint. + Defaults to uploading the checkpoint synchronously. + This works when no checkpoint is provided but is not useful in that case. + delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. """ + if delete_local_checkpoint_after_upload is None: + delete_local_checkpoint_after_upload = ( + checkpoint_upload_mode._default_delete_local_checkpoint_after_upload() + ) get_train_fn_utils().report( - metrics=metrics, checkpoint=checkpoint, checkpoint_dir_name=checkpoint_dir_name + metrics=metrics, + checkpoint=checkpoint, + checkpoint_dir_name=checkpoint_dir_name, + checkpoint_upload_mode=checkpoint_upload_mode, + delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, ) diff --git a/python/ray/train/v2/tests/test_async_checkpointing.py b/python/ray/train/v2/tests/test_async_checkpointing.py new file mode 100644 index 000000000000..6e2251e8510c --- /dev/null +++ b/python/ray/train/v2/tests/test_async_checkpointing.py @@ -0,0 +1,223 @@ +import os +from unittest.mock import create_autospec + +import pytest + +import ray +import ray.cloudpickle as ray_pickle +from ray.train import Checkpoint, RunConfig, ScalingConfig +from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer +from ray.train.v2.api.exceptions import WorkerGroupError +from ray.train.v2.api.report_config import CheckpointUploadMode + + +def test_report_mixed_checkpoint_upload_modes(ray_start_4_cpus, tmp_path): + """Run all 10 possible pairs (e.g. (SYNC, ASYNC)) of checkpoint upload modes between 2 workers.""" + + def get_checkpoint_iteration(checkpoint): + if not checkpoint: + return -1 + return int(checkpoint.path.split("_")[-1]) + + def train_fn(): + # When reporting with async checkpointing, write the checkpoint to + # tmp_path, which stays alive for the duration of the test, instead of + # tempfile.TemporaryDirectory(), which might get deleted before the + # async checkpoint upload completes. + + # Run all 10 possible pairs of checkpoint upload modes + rank = ray.train.get_context().get_world_rank() + if rank == 0: + ASYNC_ITERATIONS = [0, 1, 2, 3] + SYNC_ITERATIONS = [4, 5, 6] + NO_UPLOAD_ITERATIONS = [7, 8] + NO_CHECKPOINT_ITERATIONS = [9] + else: + ASYNC_ITERATIONS = [0] + SYNC_ITERATIONS = [1, 4] + NO_UPLOAD_ITERATIONS = [2, 5, 7] + NO_CHECKPOINT_ITERATIONS = [3, 6, 8, 9] + + prev_latest_checkpoint_iteration = -1 + for i in range(10): + # Set variables + if i in ASYNC_ITERATIONS: + checkpoint_upload_mode = CheckpointUploadMode.ASYNC + elif i in SYNC_ITERATIONS: + checkpoint_upload_mode = CheckpointUploadMode.SYNC + else: + checkpoint_upload_mode = CheckpointUploadMode.NO_UPLOAD + metrics = {"metric": f"iteration_{i}_shard_{rank}"} + + # Create and report checkpoint + if i in NO_CHECKPOINT_ITERATIONS: + ray.train.report( + metrics=metrics, + checkpoint=None, + ) + assert prev_latest_checkpoint_iteration <= get_checkpoint_iteration( + ray.train.get_checkpoint() + ) + else: + # Create remote or local checkpoint_dir + checkpoint_dir_name = f"checkpoint_iteration_{i}" + if i in NO_UPLOAD_ITERATIONS: + checkpoint_dir = ( + ray.train.get_context() + .get_storage() + .build_checkpoint_path_from_name(checkpoint_dir_name) + ) + else: + checkpoint_dir = os.path.join( + tmp_path, checkpoint_dir_name, f"_{rank}" + ) + + # Create and report that remote or local checkpoint + os.makedirs(checkpoint_dir, exist_ok=True) + with open(os.path.join(checkpoint_dir, f"shard_{rank}"), "wb") as f: + ray_pickle.dump(f"iteration_{i}_shard_{rank}", f) + checkpoint = Checkpoint(checkpoint_dir) + ray.train.report( + metrics=metrics, + checkpoint=checkpoint, + checkpoint_upload_mode=checkpoint_upload_mode, + checkpoint_dir_name=checkpoint_dir_name, + ) + + # Check the status of latest_checkpoint + latest_checkpoint = ray.train.get_checkpoint() + if i in NO_UPLOAD_ITERATIONS: + assert latest_checkpoint == checkpoint + elif i in SYNC_ITERATIONS: + assert checkpoint_dir_name in latest_checkpoint.path + else: + assert prev_latest_checkpoint_iteration <= get_checkpoint_iteration( + latest_checkpoint + ) + + prev_latest_checkpoint_iteration = get_checkpoint_iteration( + latest_checkpoint + ) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + run_config=RunConfig(storage_path=str(tmp_path)), + ) + result = trainer.fit() + # Note that the (checkpoint=None, checkpoint=None) pair does not produce any checkpoint + assert len(result.best_checkpoints) == 9 + for i, (checkpoint, metrics) in enumerate(result.best_checkpoints): + assert checkpoint.path.endswith(f"checkpoint_iteration_{i}") + assert metrics["metric"] == f"iteration_{i}_shard_0" + + +@pytest.mark.parametrize( + "delete_local_checkpoint_after_upload,checkpoint_upload_mode", + [ + (True, CheckpointUploadMode.ASYNC), + (False, CheckpointUploadMode.ASYNC), + (True, CheckpointUploadMode.SYNC), + (False, CheckpointUploadMode.SYNC), + (True, CheckpointUploadMode.NO_UPLOAD), + (False, CheckpointUploadMode.NO_UPLOAD), + ], +) +def test_report_delete_local_checkpoint_after_upload( + ray_start_4_cpus, + tmp_path, + delete_local_checkpoint_after_upload, + checkpoint_upload_mode, +): + """Check that the local checkpoint is deleted after upload.""" + + def train_fn(): + rank = ray.train.get_context().get_world_rank() + if rank == 0: + if checkpoint_upload_mode == CheckpointUploadMode.NO_UPLOAD: + checkpoint_dir = ( + ray.train.get_context() + .get_storage() + .build_checkpoint_path_from_name("my_checkpoint_dir") + ) + else: + checkpoint_dir = os.path.join( + tmp_path, + "my_checkpoint_dir", + ) + os.makedirs(checkpoint_dir, exist_ok=True) + with open(os.path.join(checkpoint_dir, "shard_0"), "wb") as f: + ray_pickle.dump("some_checkpoint_contents", f) + checkpoint = Checkpoint(checkpoint_dir) + ray.train.report( + {}, + checkpoint, + checkpoint_upload_mode=checkpoint_upload_mode, + delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, + ) + else: + ray.train.report( + {}, + None, + ) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + run_config=RunConfig(storage_path=str(tmp_path)), + ) + trainer.fit() + if ( + delete_local_checkpoint_after_upload + or checkpoint_upload_mode == CheckpointUploadMode.NO_UPLOAD + ): + assert not os.path.exists(os.path.join(tmp_path, "my_checkpoint_dir")) + else: + assert os.path.exists(os.path.join(tmp_path, "my_checkpoint_dir")) + + +def test_report_checkpoint_upload_error(ray_start_4_cpus, monkeypatch, tmp_path): + """Check that the trainer shuts down when an error occurs during checkpoint upload.""" + + def train_fn(): + + if ray.train.get_context().get_world_rank() == 0: + + # Mock persist_current_checkpoint to raise an error + mock_persist_current_checkpoint = create_autospec( + ray.train.get_context().get_storage().persist_current_checkpoint + ) + mock_persist_current_checkpoint.side_effect = ValueError("error") + monkeypatch.setattr( + ray.train.get_context().get_storage(), + "persist_current_checkpoint", + mock_persist_current_checkpoint, + ) + + # Report minimal valid checkpoint + local_checkpoint_dir = os.path.join(tmp_path, "local_checkpoint_dir") + os.makedirs(local_checkpoint_dir, exist_ok=True) + ray.train.report( + {}, + Checkpoint.from_directory(local_checkpoint_dir), + checkpoint_upload_mode=CheckpointUploadMode.ASYNC, + ) + else: + ray.train.report( + {}, None, checkpoint_upload_mode=CheckpointUploadMode.ASYNC + ) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + run_config=RunConfig(storage_path=str(tmp_path)), + ) + with pytest.raises(WorkerGroupError) as exc_info: + trainer.fit() + assert isinstance(exc_info.value.worker_failures[0], ValueError) + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/train/v2/tests/test_checkpoint_manager.py b/python/ray/train/v2/tests/test_checkpoint_manager.py index 3debda020e7e..2d9304a112b6 100644 --- a/python/ray/train/v2/tests/test_checkpoint_manager.py +++ b/python/ray/train/v2/tests/test_checkpoint_manager.py @@ -97,7 +97,7 @@ async def test_save_load_state_equivalence( # Mock the delete function as we don't want report checkpoints to be deleted. monkeypatch.setattr( ray.train.v2._internal.execution.checkpoint.checkpoint_manager, - "_delete_fs_path", + "delete_fs_path", lambda *args, **kwargs: None, ) exp_name = f"checkpoint_manager_test-{uuid.uuid4().hex}" @@ -117,7 +117,7 @@ async def test_save_load_state_equivalence( # Register the training results into checkpoint manager for i, tr in enumerate(training_results): checkpoint_manager.register_checkpoint(tr) - assert checkpoint_manager._num_report_calls == i + 1 + assert checkpoint_manager._current_report_index == i + 1 loaded_checkpoint_manager = CheckpointManager( storage_context=storage_context, checkpoint_config=checkpoint_config, diff --git a/python/ray/train/v2/tests/test_thread_runner.py b/python/ray/train/v2/tests/test_thread_runner.py index 9d0c7f3d730b..2a5038e2b7d8 100644 --- a/python/ray/train/v2/tests/test_thread_runner.py +++ b/python/ray/train/v2/tests/test_thread_runner.py @@ -46,13 +46,16 @@ def target(): def test_error(thread_runner): """Checks that an exception can be captured from the target function.""" - def target(): - def nested(): - raise ValueError + def wrapped_train_func(): + def train_fn_with_final_checkpoint_flush(): + def train_func(): + raise ValueError - nested() + train_func() - thread_runner.run(target) + train_fn_with_final_checkpoint_flush() + + thread_runner.run(wrapped_train_func) assert not thread_runner.join() assert thread_runner.get_return_value() is None @@ -64,6 +67,9 @@ def nested(): assert isinstance(error._base_exc, ValueError) print(error._traceback_str) assert "_run_target" not in error._traceback_str + assert "wrapped_train_func" not in error._traceback_str + assert "train_fn_with_final_checkpoint_flush" not in error._traceback_str + assert "train_func" in error._traceback_str def test_nested_thread_error(thread_runner): diff --git a/python/ray/train/v2/tests/test_worker.py b/python/ray/train/v2/tests/test_worker.py new file mode 100644 index 000000000000..75fdf07c3ea0 --- /dev/null +++ b/python/ray/train/v2/tests/test_worker.py @@ -0,0 +1,76 @@ +import queue +import time +from unittest.mock import create_autospec + +import pytest + +from ray.actor import ActorHandle +from ray.train.v2._internal.constants import ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR +from ray.train.v2._internal.execution.context import ( + DistributedContext, + TrainRunContext, + get_train_context, +) +from ray.train.v2._internal.execution.storage import StorageContext +from ray.train.v2._internal.execution.worker_group.worker import RayTrainWorker +from ray.train.v2._internal.util import ObjectRefWrapper + + +@pytest.mark.parametrize("created_nested_threads", [True, False]) +def test_worker_finished_after_all_threads_finish(monkeypatch, created_nested_threads): + # Disable this to avoid TypeError from logging MagicMock + monkeypatch.setenv(ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR, False) + + # Initialize RayTrainWorker state + worker = RayTrainWorker() + worker.init_train_context( + train_run_context=create_autospec(TrainRunContext, instance=True), + distributed_context=DistributedContext( + world_rank=0, + world_size=1, + local_rank=0, + local_world_size=1, + node_rank=0, + ), + synchronization_actor=create_autospec(ActorHandle, instance=True), + storage_context=create_autospec(StorageContext, instance=True), + worker_callbacks=[], + controller_actor=create_autospec(ActorHandle, instance=True), + ) + global_queue = queue.Queue() + + def train_fn(): + tc = get_train_context() + + def target(): + # Intentionally sleep longer than poll interval to test that we wait + # for nested threads to finish + time.sleep(0.1) + global_queue.put("nested") + + if created_nested_threads: + tc.checkpoint_upload_threadpool.submit(target) + else: + global_queue.put("main") + + # Run train fn and wait for it to finish + train_fn_ref = create_autospec(ObjectRefWrapper, instance=True) + train_fn_ref.get.return_value = train_fn + worker.run_train_fn(train_fn_ref) + while worker.poll_status().running: + time.sleep(0.01) + + # Verify queue contents + queue_contents = [] + while not global_queue.empty(): + queue_contents.append(global_queue.get()) + if created_nested_threads: + assert queue_contents == ["nested"] + else: + assert queue_contents == ["main"] + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) From a2cd592ab511812a7d3bac13fbeabf12fd90c7a1 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 11 Sep 2025 13:11:59 -0700 Subject: [PATCH 1170/1566] Support ray.put() and ray.get() with nixl in gpu objects (#56146) Support ray.put() and ray.get() with nixl in gpu objects. Example ```python @ray.remote(num_gpus=1, num_cpus=0, enable_tensor_transport=True) class GPUTestActor: def produce(self, tensors): refs = [] for t in tensors: refs.append(ray.put(t, tensor_transport="nixl")) return refs def consume(self, refs): tensors = [ray.get(ref) for ref in refs] sum = 0 for t in tensors: assert t.device.type == "cuda" sum += t.sum().item() return sum actors = [GPUTestActor.remote() for _ in range(2)] src_actor, dst_actor = actors[0], actors[1] tensor1 = torch.tensor([1, 2, 3]).to("cuda") tensor2 = torch.tensor([4, 5, 6, 0]).to("cuda") tensor3 = torch.tensor([7, 8, 9, 0, 0]).to("cuda") tensors = [tensor1, tensor2, tensor3] ref = src_actor.produce.remote(tensors) ref1 = dst_actor.consume.remote(ref) result = ray.get(ref1) assert result == 45 time.sleep(5) ``` Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 4 + python/ray/_private/serialization.py | 102 ++++++++++++---- python/ray/_private/worker.py | 94 ++++++++++++-- python/ray/_raylet.pyx | 15 ++- .../collective/collective_tensor_transport.py | 40 +++--- .../collective/nixl_tensor_transport.py | 64 +++++----- .../collective/tensor_transport_manager.py | 18 ++- .../gpu_object_manager/gpu_object_manager.py | 115 ++++++++++++++++-- python/ray/includes/libcoreworker.pxd | 3 +- .../gpu_objects/test_gpu_objects_gloo.py | 30 ----- .../gpu_objects/test_gpu_objects_nixl.py | 73 ++++++++++- .../collective_group/nixl_backend.py | 8 +- src/ray/core_worker/core_worker.cc | 12 +- src/ray/core_worker/core_worker.h | 4 +- 14 files changed, 440 insertions(+), 142 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 4455dd16b381..602d58a3e274 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -2815,3 +2815,7 @@ python/ray/widgets/util.py DOC103: Function `_has_missing`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*deps: Iterable[Union[str, Optional[str]]]]. Arguments in the docstring but not in the function signature: [deps: ]. DOC103: Function `repr_with_fallback`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*notebook_deps: Iterable[Union[str, Optional[str]]]]. Arguments in the docstring but not in the function signature: [notebook_deps: ]. -------------------- +python/ray/_private/serialization.py + DOC106: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature + DOC107: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints +-------------------- diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 5ae15b5a8442..e2729ac38ab8 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -82,7 +82,9 @@ def pickle_dumps(obj: Any, error_msg: str): raise ray.exceptions.OufOfBandObjectRefSerializationException(msg) -def _object_ref_deserializer(binary, call_site, owner_address, object_status): +def _object_ref_deserializer( + binary, call_site, owner_address, object_status, tensor_transport_val +): # NOTE(suquark): This function should be a global function so # cloudpickle can access it directly. Otherwise cloudpickle # has to dump the whole function definition, which is inefficient. @@ -91,7 +93,9 @@ def _object_ref_deserializer(binary, call_site, owner_address, object_status): # the core worker to resolve the value. This is to make sure # that the ref count for the ObjectRef is greater than 0 by the # time the core worker resolves the value of the object. - obj_ref = ray.ObjectRef(binary, owner_address, call_site) + obj_ref = ray.ObjectRef( + binary, owner_address, call_site, tensor_transport_val=tensor_transport_val + ) # TODO(edoakes): we should be able to just capture a reference # to 'self' here instead, but this function is itself pickled @@ -111,6 +115,40 @@ def _object_ref_deserializer(binary, call_site, owner_address, object_status): return obj_ref +def _gpu_object_ref_deserializer( + binary, + call_site, + owner_address, + object_status, + tensor_transport_val, + gpu_object_meta, +): + """ + Deserialize a GPU object ref. When the GPU object ref is deserialized, + it firstly deserialize the normal object ref, and then add metadata of + the GPU object to the GPU object manager, which will be used to fetch + the GPU object later. + + Args: + binary: The binary data of the object ref. + call_site: The call site of the object ref. + owner_address: The owner address of the object ref. + object_status: The object status of the object ref. + tensor_transport_val: The tensor transport value of the GPU object ref. + gpu_object_meta: The GPU object metadata. This is used to fetch the GPU object later. + + Returns: + The deserialized GPU object ref. + """ + obj_ref = _object_ref_deserializer( + binary, call_site, owner_address, object_status, tensor_transport_val + ) + gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager + gpu_object_manager.add_gpu_object_metadata(obj_ref, gpu_object_meta) + + return obj_ref + + def _actor_handle_deserializer(serialized_obj, weak_ref): # If this actor handle was stored in another object, then tell the # core worker. @@ -162,16 +200,6 @@ def object_ref_reducer(obj): worker = ray._private.worker.global_worker worker.check_connected() - # Check if this is a GPU ObjectRef being serialized inside a collection - if ( - self.is_in_band_serialization() - and worker.gpu_object_manager.is_managed_object(obj.hex()) - ): - raise ValueError( - "Passing RDT ObjectRefs inside data structures is not yet supported. " - "Pass RDT ObjectRefs directly as task arguments instead. For example, use `foo.remote(ref)` instead of `foo.remote([ref])`." - ) - self.add_contained_object_ref( obj, allow_out_of_band_serialization=( @@ -179,14 +207,35 @@ def object_ref_reducer(obj): ), call_site=obj.call_site(), ) + obj, owner_address, object_status = worker.core_worker.serialize_object_ref( obj ) + # Check if this is a GPU ObjectRef being serialized inside a collection + if ( + self.is_in_band_serialization() + and worker.gpu_object_manager.is_managed_object(obj.hex()) + ): + + gpu_object_manager = ( + ray._private.worker.global_worker.gpu_object_manager + ) + gpu_object_meta = gpu_object_manager._get_gpu_object_metadata(obj) + return _gpu_object_ref_deserializer, ( + obj.binary(), + obj.call_site(), + owner_address, + object_status, + obj.tensor_transport(), + gpu_object_meta, + ) + return _object_ref_deserializer, ( obj.binary(), obj.call_site(), owner_address, object_status, + obj.tensor_transport(), ) self._register_cloudpickle_reducer(ray.ObjectRef, object_ref_reducer) @@ -623,24 +672,19 @@ def _python_serializer(o): metadata, msgpack_data, contained_object_refs, pickle5_serialized_object ) - def serialize_and_store_gpu_objects( + def serialize_gpu_objects( self, value: Any, - obj_id: bytes, - ) -> MessagePackSerializedObject: + ) -> Tuple[MessagePackSerializedObject, List["torch.Tensor"]]: """Retrieve GPU data from `value` and store it in the GPU object store. Then, return the serialized value. Args: value: The value to serialize. - obj_id: The object ID of the value. `obj_id` is required, and the GPU data (e.g. tensors) in `value` - will be stored in the GPU object store with the key `obj_id`. Returns: Serialized value. """ - assert ( - obj_id is not None - ), "`obj_id` is required, and it is the key to retrieve corresponding tensors from the GPU object store." + if not self._torch_custom_serializer_registered: # Register a custom serializer for torch.Tensor. If the method is # decorated with `@ray.method(tensor_transport="xxx")`, it will @@ -653,16 +697,28 @@ def serialize_and_store_gpu_objects( self._torch_custom_serializer_registered = True serialized_val, tensors = self._serialize_and_retrieve_tensors(value) + + return serialized_val, tensors + + def store_gpu_objects(self, obj_id: str, tensors: List["torch.Tensor"]): + """ + Store GPU objects in the GPU object store. + + Args: + obj_id: The object ID of the value. `obj_id` is required, and the GPU data (e.g. tensors) in `value` + will be stored in the GPU object store with the key `obj_id`. + tensors: The tensors to store in the GPU object store. + """ + assert ( + obj_id is not None + ), "`obj_id` is required, and it is the key to retrieve corresponding tensors from the GPU object store." # Regardless of whether `tensors` is empty, we always store the GPU object # in the GPU object store. This ensures that `_get_tensor_meta` is not # blocked indefinitely. - obj_id = obj_id.decode("ascii") worker = ray._private.worker.global_worker gpu_object_manager = worker.gpu_object_manager gpu_object_manager.gpu_object_store.add_object(obj_id, tensors, is_primary=True) - return serialized_val - def serialize( self, value: Any ) -> Union[RawSerializedObject, MessagePackSerializedObject]: diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index ebb15ee817e1..6657a9246033 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -797,6 +797,7 @@ def put_object( value: Any, owner_address: Optional[str] = None, _is_experimental_channel: bool = False, + _tensor_transport: str = "object_store", ): """Put value in the local object store. @@ -813,7 +814,7 @@ def put_object( objects. If True, then the returned object will not have a valid value. The object must be written to using the ray.experimental.channel API before readers can read. - + _tensor_transport: [Alpha] The tensor transport backend to use. Currently, this supports "object_store" and "nixl". Returns: ObjectRef: The object ref the object was put under. @@ -829,9 +830,25 @@ def put_object( "If you really want to do this, you can wrap the " "ray.ObjectRef in a list and call 'put' on it." ) - + tensors = None + tensor_transport: TensorTransportEnum = TensorTransportEnum.from_str( + _tensor_transport + ) + if tensor_transport not in [ + TensorTransportEnum.OBJECT_STORE, + TensorTransportEnum.NIXL, + ]: + raise ValueError( + "Currently, Ray Direct Transport only supports 'object_store' and 'nixl' for tensor transport in ray.put()." + ) try: - serialized_value = self.get_serialization_context().serialize(value) + if tensor_transport != TensorTransportEnum.OBJECT_STORE: + ( + serialized_value, + tensors, + ) = self.get_serialization_context().serialize_gpu_objects(value) + else: + serialized_value = self.get_serialization_context().serialize(value) except TypeError as e: sio = io.StringIO() ray.util.inspect_serializability(value, print_file=sio) @@ -852,13 +869,17 @@ def put_object( # reference will be created. If another reference is created and # removed before this one, it will corrupt the state in the # reference counter. - return self.core_worker.put_object( + ret = self.core_worker.put_object( serialized_value, pin_object=pin_object, owner_address=owner_address, inline_small_object=True, _is_experimental_channel=_is_experimental_channel, + tensor_transport_val=tensor_transport.value, ) + if tensors: + self.gpu_object_manager.put_object(ret, tensor_transport, tensors) + return ret def raise_errors(self, serialized_objects, object_refs): out = self.deserialize_objects(serialized_objects, object_refs) @@ -867,21 +888,47 @@ def raise_errors(self, serialized_objects, object_refs): for e in out: _unhandled_error_handler(e) - def deserialize_objects(self, serialized_objects, object_refs): + def deserialize_objects( + self, + serialized_objects, + object_refs, + tensor_transport_hint: Optional[TensorTransportEnum] = None, + ): gpu_objects: Dict[str, List["torch.Tensor"]] = {} for obj_ref, (_, _, tensor_transport) in zip(object_refs, serialized_objects): - # If using a non-object store transport, then tensors will be sent - # out-of-band. Get them before deserializing the object store data. + # TODO: Here tensor_transport_hint is set by the user in ray.get(), tensor_transport is set + # in serialize_objects by ray.method(tensor_transport="xxx"), and obj_ref.tensor_transport() + # is set by ray.put(). We may clean up this logic in the future. if ( tensor_transport is None or tensor_transport == TensorTransportEnum.OBJECT_STORE + ) and ( + obj_ref is None + or obj_ref.tensor_transport() == TensorTransportEnum.OBJECT_STORE.value ): + # The object is not a gpu object, so we cannot use other external transport to + # fetch it. continue + # If the object is a gpu object, we can choose to use the object store or other external + # transport to fetch it. The `tensor_transport_hint` has the highest priority, then the + # tensor_transport in obj_ref.tensor_transport(), then the tensor_transport in serialize_objects, + # then the default value `OBJECT_STORE`. + chosen_tensor_transport = ( + tensor_transport_hint + or ( + TensorTransportEnum(obj_ref.tensor_transport()) if obj_ref else None + ) + or tensor_transport + or TensorTransportEnum.OBJECT_STORE + ) + object_id = obj_ref.hex() if object_id not in gpu_objects: + # If using a non-object store transport, then tensors will be sent + # out-of-band. Get them before deserializing the object store data. gpu_objects[object_id] = self.gpu_object_manager.get_gpu_object( - object_id + object_id, tensor_transport == chosen_tensor_transport ) # Function actor manager or the import thread may call pickle.loads @@ -900,6 +947,7 @@ def get_objects( timeout: Optional[float] = None, return_exceptions: bool = False, skip_deserialization: bool = False, + _tensor_transport: Optional[str] = None, ) -> Tuple[List[serialization.SerializedRayObject], bytes]: """Get the values in the object store associated with the IDs. @@ -918,6 +966,7 @@ def get_objects( raised. skip_deserialization: If true, only the buffer will be released and the object associated with the buffer will not be deserialized. + _tensor_transport: [Alpha] The tensor transport to use to fetch `torch.Tensors` found in the Ray Direct Transport object. Currently, this supports "object_store" and "nixl". Returns: list: List of deserialized objects or None if skip_deserialization is True. bytes: UUID of the debugger breakpoint we should drop @@ -930,7 +979,16 @@ def get_objects( f"Attempting to call `get` on the value {object_ref}, " "which is not an ray.ObjectRef." ) - + tensor_transport: TensorTransportEnum = ( + TensorTransportEnum.from_str(_tensor_transport) + if _tensor_transport is not None + else None + ) + assert tensor_transport in [ + TensorTransportEnum.OBJECT_STORE, + TensorTransportEnum.NIXL, + None, + ], "Currently, RDT only supports 'object_store' and 'nixl' for tensor transport in ray.get()." timeout_ms = ( int(timeout * 1000) if timeout is not None and timeout != -1 else -1 ) @@ -954,7 +1012,9 @@ def get_objects( if skip_deserialization: return None, debugger_breakpoint - values = self.deserialize_objects(serialized_objects, object_refs) + values = self.deserialize_objects( + serialized_objects, object_refs, tensor_transport_hint=tensor_transport + ) if not return_exceptions: # Raise exceptions instead of returning them to the user. for i, value in enumerate(values): @@ -2797,6 +2857,7 @@ def get( ], *, timeout: Optional[float] = None, + _tensor_transport: Optional[str] = None, ) -> Union[Any, List[Any]]: """Get a remote object or a list of remote objects from the object store. @@ -2832,6 +2893,7 @@ def get( corresponding object becomes available. Setting ``timeout=0`` will return the object immediately if it's available, else raise GetTimeoutError in accordance with the above docstring. + _tensor_transport: [Alpha] The tensor transport to use to fetch `torch.Tensors` found in the Ray Direct Transport object. Currently, this supports "object_store" and "nixl". Returns: A Python object or a list of Python objects. @@ -2891,7 +2953,9 @@ def get( "'object_refs' must either be an ObjectRef or a list of ObjectRefs. " ) - values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) + values, debugger_breakpoint = worker.get_objects( + object_refs, timeout=timeout, _tensor_transport=_tensor_transport + ) for i, value in enumerate(values): if isinstance(value, RayError): if isinstance(value, ray.exceptions.ObjectLostError): @@ -2927,6 +2991,7 @@ def put( value: Any, *, _owner: Optional["ray.actor.ActorHandle"] = None, + _tensor_transport: str = "object_store", ) -> "ray.ObjectRef": """Store an object in the object store. @@ -2946,6 +3011,7 @@ def put( object prior to the object creator exiting, otherwise the reference will still be lost. *Note that this argument is an experimental API and should be avoided if possible.* + _tensor_transport: [Alpha] The tensor transport to use for the GPU object. Currently, this supports "object_store" and "nixl" for tensor transport in ray.put(). Returns: The object ref assigned to this value. @@ -2972,7 +3038,11 @@ def put( with profiling.profile("ray.put"): try: - object_ref = worker.put_object(value, owner_address=serialize_owner_address) + object_ref = worker.put_object( + value, + owner_address=serialize_owner_address, + _tensor_transport=_tensor_transport, + ) except ObjectStoreFullError: logger.info( "Put failed since the value was either too large or the " diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index c9c87b70053d..ef082647473c 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3422,11 +3422,12 @@ cdef class CoreWorker: owner_address, c_bool inline_small_object, c_bool _is_experimental_channel, + int tensor_transport_val=0 ): """Create an object reference with the current worker as the owner. """ created_object = self.put_serialized_object_and_increment_local_ref( - serialized_object, pin_object, owner_address, inline_small_object, _is_experimental_channel) + serialized_object, pin_object, owner_address, inline_small_object, _is_experimental_channel, tensor_transport_val) if owner_address is None: owner_address = CCoreWorkerProcess.GetCoreWorker().GetRpcAddress().SerializeAsString() @@ -3435,7 +3436,8 @@ cdef class CoreWorker: return ObjectRef( created_object, owner_address, - skip_adding_local_ref=True + skip_adding_local_ref=True, + tensor_transport_val=tensor_transport_val ) def put_serialized_object_and_increment_local_ref( @@ -3445,6 +3447,7 @@ cdef class CoreWorker: owner_address=None, c_bool inline_small_object=True, c_bool _is_experimental_channel=False, + int tensor_transport_val=0 ): cdef: CObjectID c_object_id @@ -3458,6 +3461,7 @@ cdef class CoreWorker: serialized_object.contained_object_refs) size_t total_bytes = serialized_object.total_bytes + c_tensor_transport_val = tensor_transport_val with nogil: check_status(CCoreWorkerProcess.GetCoreWorker() .CreateOwnedAndIncrementLocalRef( @@ -3468,7 +3472,8 @@ cdef class CoreWorker: &c_object_id, &data, c_owner_address, - inline_small_object)) + inline_small_object, + c_tensor_transport_val)) if (data.get() == NULL): # Object already exists @@ -4470,7 +4475,9 @@ cdef class CoreWorker: if c_tensor_transport != TENSOR_TRANSPORT_OBJECT_STORE: # `output` contains tensors. We need to retrieve these tensors from `output` # and store them in the GPUObjectManager. - serialized_object = context.serialize_and_store_gpu_objects(output, return_id.Hex()) + serialized_object, tensors = context.serialize_gpu_objects(output) + context.store_gpu_objects(return_id.Hex().decode("ascii"), tensors) + else: serialized_object = context.serialize(output) data_size = serialized_object.total_bytes diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 2fff70737bd7..61996d608d68 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -2,7 +2,6 @@ import ray from ray.experimental.collective.tensor_transport_manager import ( - TensorTransportEnum, TensorTransportManager, ) from ray.util.collective.types import ( @@ -35,39 +34,44 @@ def actor_has_tensor_transport(self, actor: "ray.actor.ActorHandle") -> bool: ) return len(communicators) > 0 + @staticmethod + def extract_tensor_transport_metadata( + gpu_object: List["torch.Tensor"], + ) -> CollectiveTransportMetadata: + tensor_meta = [] + device = None + if gpu_object: + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in an RDT object must have the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) + return CollectiveTransportMetadata( + tensor_meta=tensor_meta, + tensor_device=device, + ) + @staticmethod def get_tensor_transport_metadata( src_actor: "ray.actor.ActorHandle", obj_id: str, - tensor_transport: TensorTransportEnum, ) -> CollectiveTransportMetadata: def __ray_get_tensor_transport_metadata__( self: "ray.actor.ActorHandle", obj_id: str, - tensor_transport: TensorTransportEnum, ) -> CollectiveTransportMetadata: from ray._private.worker import global_worker - from ray.util.collective.types import CollectiveTransportMetadata gpu_object_store = global_worker.gpu_object_manager.gpu_object_store # NOTE: We do not specify a timeout here because the user task that returns # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) - tensor_meta = [] - device = None - if gpu_object: - device = gpu_object[0].device - for t in gpu_object: - if t.device.type != device.type: - raise ValueError( - "All tensors in an RDT object must have the same device type." - ) - tensor_meta.append((t.shape, t.dtype)) - return CollectiveTransportMetadata( - tensor_meta=tensor_meta, - tensor_device=device, + return CollectiveTensorTransport.extract_tensor_transport_metadata( + gpu_object ) # Submit a Ray actor task to the source actor to get the tensor metadata. @@ -78,7 +82,7 @@ def __ray_get_tensor_transport_metadata__( # executing on the main thread blocking this task. return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_get_tensor_transport_metadata__, obj_id, tensor_transport + __ray_get_tensor_transport_metadata__, obj_id ) @staticmethod diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index 45149a0b0608..40701590e9d0 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -2,7 +2,6 @@ import ray from ray.experimental.collective.tensor_transport_manager import ( - TensorTransportEnum, TensorTransportManager, ) from ray.util.collective.collective import get_group_handle @@ -42,53 +41,54 @@ def __ray_actor_has_tensor_transport__( ) ) + @staticmethod + def extract_tensor_transport_metadata( + gpu_object: List["torch.Tensor"], + ) -> NixlTransportMetadata: + from ray.util.collective.collective_group.nixl_backend import NixlBackend + from ray.util.collective.types import NixlTransportMetadata + + nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) + device = None + tensor_meta = [] + if gpu_object: + serialized_descs, agent_meta = nixl_backend.get_nixl_metadata(gpu_object) + # We assume all tensors in one GPU object have the same device type. + device = gpu_object[0].device + for t in gpu_object: + if t.device.type != device.type: + raise ValueError( + "All tensors in an RDT object must have the same device type." + ) + tensor_meta.append((t.shape, t.dtype)) + else: + serialized_descs, agent_meta = None, None + return NixlTransportMetadata( + tensor_meta=tensor_meta, + tensor_device=device, + nixl_serialized_descs=serialized_descs, + nixl_agent_meta=agent_meta, + ) + @staticmethod def get_tensor_transport_metadata( src_actor: "ray.actor.ActorHandle", obj_id: str, - tensor_transport: TensorTransportEnum, ) -> NixlTransportMetadata: - from ray.util.collective.collective_group.nixl_backend import NixlBackend - def __ray_get_tensor_transport_metadata__( self: "ray.actor.ActorHandle", obj_id: str, - tensor_transport: TensorTransportEnum, ) -> NixlTransportMetadata: from ray._private.worker import global_worker - from ray.util.collective.types import NixlTransportMetadata gpu_object_store = global_worker.gpu_object_manager.gpu_object_store # NOTE: We do not specify a timeout here because the user task that returns # it could take arbitrarily long and we don't want to trigger a spurious # timeout. gpu_object = gpu_object_store.wait_and_get_object(obj_id) - from ray.util.collective.collective import get_group_handle - - nixl_backend: NixlBackend = get_group_handle(NIXL_GROUP_NAME) - device = None - tensor_meta = [] - if gpu_object: - serialized_descs, agent_meta = nixl_backend.get_nixl_metadata( - gpu_object - ) - # We assume all tensors in one GPU object have the same device type. - device = gpu_object[0].device - for t in gpu_object: - if t.device.type != device.type: - raise ValueError( - "All tensors in an RDT object must have the same device type." - ) - tensor_meta.append((t.shape, t.dtype)) - else: - serialized_descs, agent_meta = None, None - return NixlTransportMetadata( - tensor_meta=tensor_meta, - tensor_device=device, - nixl_serialized_descs=serialized_descs, - nixl_agent_meta=agent_meta, - ) + + return NixlTensorTransport.extract_tensor_transport_metadata(gpu_object) # Submit a Ray actor task to the source actor to get the tensor metadata. # The metadata is a list of tuples, where each tuple contains the shape and dtype @@ -98,7 +98,7 @@ def __ray_get_tensor_transport_metadata__( # executing on the main thread blocking this task. return src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_get_tensor_transport_metadata__, obj_id, tensor_transport + __ray_get_tensor_transport_metadata__, obj_id ) @staticmethod diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index 8a8b29dae316..c86dc4554f17 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -2,7 +2,6 @@ from typing import TYPE_CHECKING, List, Optional import ray -from ray._private.custom_types import TensorTransportEnum from ray.util.collective.types import ( Backend, CommunicatorMetadata, @@ -48,7 +47,6 @@ def actor_has_tensor_transport(self, actor: "ray.actor.ActorHandle") -> bool: def get_tensor_transport_metadata( src_actor: "ray.actor.ActorHandle", obj_id: str, - tensor_transport: TensorTransportEnum, ) -> TensorTransportMetadata: """ Get the tensor transport metadata for the GPU object. @@ -58,12 +56,26 @@ def get_tensor_transport_metadata( Args: src_actor: The actor that runs this function. obj_id: The ID of the GPU object to get metadata for - tensor_transport: The tensor transport protocol to use for the GPU object. Returns: TensorTransportMetadata: A named tuple containing the tensor metadata. """ + @staticmethod + @abstractmethod + def extract_tensor_transport_metadata( + gpu_object: List["torch.Tensor"], + ) -> TensorTransportMetadata: + """ + Extract the tensor transport metadata from the GPU object. + + Args: + gpu_object: The GPU object to extract the tensor transport metadata from. + + Returns: + TensorTransportMetadata: The tensor transport metadata. + """ + @staticmethod @abstractmethod def get_communicator_metadata( diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index f0a851386895..73ac927e355e 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -64,6 +64,7 @@ def __init__(self): # This dictionary is hosted on the "driver" process of the actors that # store and send/receive GPU objects. self.managed_gpu_object_metadata: Dict[str, GPUObjectMeta] = {} + # Per-actor local storage for GPU objects. We create the GPU object # store lazily, if a user specifies a non-default tensor_transport, to # avoid circular import and because it imports third-party dependencies @@ -96,11 +97,25 @@ def is_managed_object(self, obj_id: str) -> bool: """ return obj_id in self.managed_gpu_object_metadata + def add_gpu_object_metadata( + self, obj_ref: ObjectRef, gpu_object_meta: GPUObjectMeta + ): + """ + Add the GPU object metadata to the GPU object manager. + + Args: + obj_ref: The ObjectRef of the GPU object. + gpu_object_meta: The GPU object metadata. + """ + obj_id = obj_ref.hex() + self.managed_gpu_object_metadata[obj_id] = gpu_object_meta + def add_gpu_object_ref( self, obj_ref: ObjectRef, src_actor: "ray.actor.ActorHandle", tensor_transport: TensorTransportEnum, + tensor_transport_meta: Optional["TensorTransportMetadata"] = None, ): """Add a GPU object reference to the GPU object manager. This should be called whenever the current process calls a task that is annotated with @@ -110,6 +125,7 @@ def add_gpu_object_ref( obj_ref: The ObjectRef of the task output. src_actor: The actor that executes the task and that creates the GPU object. tensor_transport: The tensor transport protocol to use for the GPU object. + tensor_transport_meta: The tensor transport metadata that is pre-computed. """ from ray.experimental.collective import get_tensor_transport_manager from ray.experimental.gpu_object_manager.gpu_object_store import ( @@ -123,9 +139,12 @@ def add_gpu_object_ref( tensor_transport_manager = get_tensor_transport_manager( tensor_transport_backend ) - tensor_meta = tensor_transport_manager.get_tensor_transport_metadata( - src_actor, obj_id, tensor_transport - ) + if not tensor_transport_meta: + tensor_meta = tensor_transport_manager.get_tensor_transport_metadata( + src_actor, obj_id + ) + else: + tensor_meta = tensor_transport_meta self.managed_gpu_object_metadata[obj_id] = GPUObjectMeta( src_actor=src_actor, tensor_transport_backend=tensor_transport_backend, @@ -138,7 +157,11 @@ def _get_gpu_object_metadata(self, obj_ref: ObjectRef) -> GPUObjectMeta: obj_id = obj_ref.hex() return self.managed_gpu_object_metadata[obj_id] - def fetch_object(self, obj_id: str): + def fetch_object( + self, + obj_id: str, + tensor_transport: TensorTransportEnum = TensorTransportEnum.OBJECT_STORE, + ): """ Fetches the GPU object from the source actor's GPU object store via the object store instead of out-of-band tensor transfer and stores the tensors in the local GPU object store. @@ -149,25 +172,45 @@ def fetch_object(self, obj_id: str): Args: obj_id: The object ID of the GPU object. + tensor_transport: The tensor transport to use to fetch the GPU object. Returns: None """ + from ray.experimental.collective import get_tensor_transport_manager from ray.experimental.gpu_object_manager.gpu_object_store import ( __ray_fetch_gpu_object__, ) if self.gpu_object_store.has_object(obj_id): return - gpu_object_meta = self.managed_gpu_object_metadata[obj_id] src_actor = gpu_object_meta.src_actor - tensors = ray.get( - src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_fetch_gpu_object__, obj_id - ) + tensor_transport_backend = gpu_object_meta.tensor_transport_backend + tensor_transport_manager = get_tensor_transport_manager( + tensor_transport_backend + ) + tensor_transport_meta = gpu_object_meta.tensor_transport_meta + use_object_store = ( + tensor_transport == TensorTransportEnum.OBJECT_STORE + or isinstance(tensor_transport_meta, ObjectRef) ) - self.gpu_object_store.add_object(obj_id, tensors) + if use_object_store: + tensors = ray.get( + src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( + __ray_fetch_gpu_object__, obj_id + ) + ) + self.gpu_object_store.add_object(obj_id, tensors) + else: + from ray.experimental.gpu_object_manager.gpu_object_store import ( + __ray_recv__, + ) + + communicator_meta = tensor_transport_manager.get_communicator_metadata( + None, None, tensor_transport_backend + ) + __ray_recv__(None, obj_id, tensor_transport_meta, communicator_meta) def trigger_out_of_band_tensor_transfer( self, dst_actor: "ray.actor.ActorHandle", task_args: Tuple[Any, ...] @@ -265,13 +308,24 @@ def trigger_out_of_band_tensor_transfer( communicator_meta, ) - def get_gpu_object(self, object_id: str) -> List["torch.Tensor"]: + def get_gpu_object( + self, + object_id: str, + tensor_transport: TensorTransportEnum = TensorTransportEnum.OBJECT_STORE, + ) -> List["torch.Tensor"]: """ Get the GPU object for a given object ID. + + Args: + object_id: The object ID of the GPU object. + tensor_transport: The tensor transport to use to fetch the GPU object. + + Returns: + The GPU object. """ gpu_object_store = self.gpu_object_store if self.is_managed_object(object_id): - self.fetch_object(object_id) + self.fetch_object(object_id, tensor_transport) # If the GPU object is the primary copy, it means the transfer is intra-actor. # In this case, we should not remove the GPU object after it is consumed once, @@ -315,3 +369,40 @@ def actor_has_tensor_transport( tensor_transport_backend ) return tensor_transport_manager.actor_has_tensor_transport(actor) + + def put_object( + self, + obj_ref: ObjectRef, + tensor_transport: TensorTransportEnum, + tensors: List["torch.Tensor"], + ): + """ + Put the GPU object into the GPU object manager. + + Args: + obj_ref: The object ref of the GPU object. + tensor_transport: The tensor transport backend to use. + tensors: The tensors to put into the GPU object manager. + + """ + from ray.experimental.collective import get_tensor_transport_manager + from ray.experimental.gpu_object_manager.gpu_object_store import ( + _tensor_transport_to_collective_backend, + ) + + tensor_transport_backend = _tensor_transport_to_collective_backend( + tensor_transport + ) + transport_manager = get_tensor_transport_manager(tensor_transport_backend) + tensor_transport_meta = transport_manager.extract_tensor_transport_metadata( + tensors + ) + + src_actor = ray.get_runtime_context().current_actor + self.gpu_object_store.add_object(obj_ref.hex(), tensors, is_primary=True) + self.add_gpu_object_ref( + obj_ref, + src_actor, + tensor_transport, + tensor_transport_meta=tensor_transport_meta, + ) diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 2b401369f777..f010f3a13c0b 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -260,7 +260,8 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: const c_vector[CObjectID] &contained_object_ids, CObjectID *object_id, shared_ptr[CBuffer] *data, const unique_ptr[CAddress] &owner_address, - c_bool inline_small_object) + c_bool inline_small_object, + CTensorTransport tensor_transport) CRayStatus CreateExisting(const shared_ptr[CBuffer] &metadata, const size_t data_size, const CObjectID &object_id, diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index cc66641dccf4..ce0a2e4e9a90 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -647,36 +647,6 @@ def double(self, data): ref = sender.tensor_method.options(tensor_transport="gloo").remote() -def test_gpu_object_ref_in_list_throws_exception(ray_start_regular): - """Test that passing GPU ObjectRefs inside lists as task arguments raises an error.""" - - print("loc2") - actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") - - tensor = torch.randn((1,)) - - # Test: GPU ref passed directly to task should work - gpu_ref = actor.echo.remote(tensor) - result = actor.double.remote(gpu_ref) - assert ray.get(result) == pytest.approx(tensor * 2) - - # Test: GPU ref inside a list should fail during task submission - with pytest.raises( - ValueError, - match="Passing RDT ObjectRefs inside data structures is not yet supported", - ): - actor.double.remote([gpu_ref]) - - # Test: Mixed list with GPU ref and normal data should also fail - normal_ref = ray.put("normal_data") - with pytest.raises( - ValueError, - match="Passing RDT ObjectRefs inside data structures is not yet supported", - ): - actor.double.remote([gpu_ref, normal_ref]) - - def test_app_error_inter_actor(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py index 835a0ef4c059..1d57b8c675a9 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py @@ -16,6 +16,38 @@ def sum(self, data, device): assert data.device.type == device return data.sum().item() + def produce(self, tensors): + refs = [] + for t in tensors: + refs.append(ray.put(t, _tensor_transport="nixl")) + return refs + + def consume_with_nixl(self, refs): + tensors = [ray.get(ref) for ref in refs] + sum = 0 + for t in tensors: + assert t.device.type == "cuda" + sum += t.sum().item() + return sum + + def consume_with_object_store(self, refs): + tensors = [ray.get(ref, _tensor_transport="object_store") for ref in refs] + sum = 0 + for t in tensors: + assert t.device.type == "cuda" + sum += t.sum().item() + return sum + + def gc(self): + tensor = torch.tensor([1, 2, 3]).to("cuda") + ref = ray.put(tensor, _tensor_transport="nixl") + gpu_manager = ray._private.worker.global_worker.gpu_object_manager + assert gpu_manager.gpu_object_store.has_tensor(tensor) + del ref + gpu_manager.gpu_object_store.wait_tensor_freed(tensor, timeout=10) + assert not gpu_manager.gpu_object_store.has_tensor(tensor) + return "Success" + @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) def test_p2p(ray_start_regular): @@ -34,12 +66,12 @@ def test_p2p(ray_start_regular): # Trigger tensor transfer from src to dst actor result = dst_actor.sum.remote(ref, "cuda") - assert tensor.sum().item() == ray.get(result) + assert tensor.sum().item() == ray.get(result, _tensor_transport="object_store") # Test CPU to CPU transfer ref1 = src_actor.echo.remote(tensor1, "cpu") result1 = dst_actor.sum.remote(ref1, "cpu") - assert tensor1.sum().item() == ray.get(result1) + assert tensor1.sum().item() == ray.get(result1, _tensor_transport="object_store") @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) @@ -51,7 +83,42 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): # Intra-actor communication for pure GPU tensors ref = actor.echo.remote(tensor, "cuda") result = actor.sum.remote(ref, "cuda") - assert tensor.sum().item() == ray.get(result) + assert tensor.sum().item() == ray.get(result, _tensor_transport="object_store") + + +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) +def test_put_and_get_object_with_nixl(ray_start_regular): + actors = [GPUTestActor.remote() for _ in range(2)] + src_actor, dst_actor = actors[0], actors[1] + tensor1 = torch.tensor([1, 2, 3]).to("cuda") + tensor2 = torch.tensor([4, 5, 6, 0]).to("cuda") + tensor3 = torch.tensor([7, 8, 9, 0, 0]).to("cuda") + tensors = [tensor1, tensor2, tensor3] + ref = src_actor.produce.remote(tensors) + ref1 = dst_actor.consume_with_nixl.remote(ref) + result1 = ray.get(ref1) + assert result1 == 45 + + +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) +def test_put_and_get_object_with_object_store(ray_start_regular): + actors = [GPUTestActor.remote() for _ in range(2)] + src_actor, dst_actor = actors[0], actors[1] + tensor1 = torch.tensor([1, 2, 3]).to("cuda") + tensor2 = torch.tensor([4, 5, 6, 0]).to("cuda") + tensor3 = torch.tensor([7, 8, 9, 0, 0]).to("cuda") + tensors = [tensor1, tensor2, tensor3] + ref = src_actor.produce.remote(tensors) + ref1 = dst_actor.consume_with_object_store.remote(ref) + result1 = ray.get(ref1) + assert result1 == 45 + + +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) +def test_put_gc(ray_start_regular): + actor = GPUTestActor.remote() + ref = actor.gc.remote() + assert ray.get(ref) == "Success" if __name__ == "__main__": diff --git a/python/ray/util/collective/collective_group/nixl_backend.py b/python/ray/util/collective/collective_group/nixl_backend.py index ea7fd3d7ab22..1950f952d4ef 100644 --- a/python/ray/util/collective/collective_group/nixl_backend.py +++ b/python/ray/util/collective/collective_group/nixl_backend.py @@ -58,7 +58,13 @@ def recv( remote_name = nixl_agent.add_remote_agent(remote_nixl_agent_meta) xfer_handle = nixl_agent.initialize_xfer( - "READ", local_descs.trim(), remote_descs, remote_name + # "UUID" here is just a placeholder, can be any bytes, but without it, + # nixl will fail to transfer multiple times. + "READ", + local_descs.trim(), + remote_descs, + remote_name, + "UUID", ) state = nixl_agent.transfer(xfer_handle) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 04db6d5398f7..c8922e067f16 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -1017,7 +1017,8 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( ObjectID *object_id, std::shared_ptr *data, const std::unique_ptr &owner_address, - bool inline_small_object) { + bool inline_small_object, + rpc::TensorTransport tensor_transport) { auto status = WaitForActorRegistered(contained_object_ids); if (!status.ok()) { return status; @@ -1036,7 +1037,14 @@ Status CoreWorker::CreateOwnedAndIncrementLocalRef( data_size + metadata->Size(), /*is_reconstructable=*/false, /*add_local_ref=*/true, - NodeID::FromBinary(rpc_address_.node_id())); + NodeID::FromBinary(rpc_address_.node_id()), + /*tensor_transport=*/tensor_transport); + + // Register the callback to free the GPU object when it is out of scope. + if (tensor_transport != rpc::TensorTransport::OBJECT_STORE) { + reference_counter_->AddObjectOutOfScopeOrFreedCallback( + *object_id, options_.free_actor_object_callback); + } } else { // Because in the remote worker's `HandleAssignObjectOwner`, // a `WaitForRefRemoved` RPC request will be sent back to diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 58e0cd65cf8a..4091ec28609b 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -516,6 +516,7 @@ class CoreWorker { /// defaults to this worker. /// \param[in] inline_small_object Whether to inline create this object if it's /// small. + /// \param[in] tensor_transport The tensor transport to use for the object. /// \return Status. Status CreateOwnedAndIncrementLocalRef( bool is_experimental_mutable_object, @@ -525,7 +526,8 @@ class CoreWorker { ObjectID *object_id, std::shared_ptr *data, const std::unique_ptr &owner_address = nullptr, - bool inline_small_object = true); + bool inline_small_object = true, + rpc::TensorTransport tensor_transport = rpc::TensorTransport::OBJECT_STORE); /// Create and return a buffer in the object store that can be directly written /// into, for an object ID that already exists. After writing to the buffer, the From acbc24ba51cf374bd9a6aa5154cfc6c2eb51a241 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 11 Sep 2025 13:21:38 -0700 Subject: [PATCH 1171/1566] [core] Make Object Manager Unit Testable (#56315) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- .../plasma/fake_plasma_client.h | 124 ++++++++------- src/mock/ray/object_manager/object_manager.h | 2 + src/ray/object_manager/BUILD.bazel | 4 +- src/ray/object_manager/object_manager.cc | 92 ++++-------- src/ray/object_manager/object_manager.h | 52 ++++--- src/ray/object_manager/tests/BUILD.bazel | 18 +++ .../tests/object_manager_test.cc | 142 ++++++++++++++++++ src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/main.cc | 107 +++++++++---- src/ray/raylet/tests/BUILD.bazel | 2 +- src/ray/raylet/tests/node_manager_test.cc | 95 +----------- src/ray/rpc/BUILD.bazel | 31 ---- src/ray/rpc/object_manager/BUILD.bazel | 51 +++++++ .../fake_object_manager_client.h | 110 ++++++++++++++ .../object_manager/object_manager_client.h | 14 +- .../object_manager_client_interface.h | 52 +++++++ 16 files changed, 600 insertions(+), 297 deletions(-) create mode 100644 src/ray/object_manager/tests/object_manager_test.cc create mode 100644 src/ray/rpc/object_manager/BUILD.bazel create mode 100644 src/ray/rpc/object_manager/fake_object_manager_client.h create mode 100644 src/ray/rpc/object_manager/object_manager_client_interface.h diff --git a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h index 74ab301fd259..42030c1ab68a 100644 --- a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h +++ b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h @@ -16,13 +16,10 @@ #include #include +#include #include -// A simple fake implementation of PlasmaClientInterface for use in unit tests. -// -// This base fake does nothing (returns OK for most methods, empty results for Get). -// Extend it in test files to add behavior (recording batches, timeouts, missing objects). - +#include "absl/container/flat_hash_map.h" #include "ray/common/buffer.h" #include "ray/common/id.h" #include "ray/common/status.h" @@ -32,75 +29,98 @@ namespace plasma { class FakePlasmaClient : public PlasmaClientInterface { public: - FakePlasmaClient(std::vector> *observed_batches = nullptr) - : observed_batches_(observed_batches) {} - - Status Connect(const std::string &, const std::string &, int) override { + Status Connect(const std::string &store_socket_name, + const std::string &manager_socket_name = "", + int num_retries = -1) override { + return Status::OK(); + }; + + Status CreateAndSpillIfNeeded(const ObjectID &object_id, + const ray::rpc::Address &owner_address, + bool is_mutable, + int64_t data_size, + const uint8_t *metadata, + int64_t metadata_size, + std::shared_ptr *data, + plasma::flatbuf::ObjectSource source, + int device_num = 0) override { return Status::OK(); } - Status Release(const ObjectID &) override { return Status::OK(); } - - Status Contains(const ObjectID &, bool *) override { return Status::OK(); } - - Status Disconnect() override { return Status::OK(); } - - Status Get(const std::vector &object_ids, - int64_t /*timeout_ms*/, - std::vector *object_buffers) override { - if (observed_batches_ != nullptr) { - observed_batches_->push_back(object_ids); + Status TryCreateImmediately(const ObjectID &object_id, + const ray::rpc::Address &owner_address, + int64_t data_size, + const uint8_t *metadata, + int64_t metadata_size, + std::shared_ptr *data, + plasma::flatbuf::ObjectSource source, + int device_num = 0) override { + std::vector data_vec(data_size); + if (data != nullptr && data_size > 0) { + data_vec.assign(data->get()->Data(), data->get()->Data() + data_size); } - // Return non-null buffers to simulate presence for tests. - object_buffers->resize(object_ids.size()); - for (size_t i = 0; i < object_ids.size(); i++) { - uint8_t byte = 0; - auto parent = - std::make_shared(&byte, 1, /*copy_data=*/true); - (*object_buffers)[i].data = SharedMemoryBuffer::Slice(parent, 0, 1); - (*object_buffers)[i].metadata = SharedMemoryBuffer::Slice(parent, 0, 1); + std::vector metadata_vec; + if (metadata != nullptr && metadata_size > 0) { + metadata_vec.assign(metadata, metadata + metadata_size); } + objects_in_plasma_.emplace( + object_id, std::make_pair(std::move(data_vec), std::move(metadata_vec))); return Status::OK(); } - Status GetExperimentalMutableObject(const ObjectID &, - std::unique_ptr *) override { + Status Get(const std::vector &object_ids, + int64_t timeout_ms, + std::vector *object_buffers) override { + for (const auto &id : object_ids) { + auto &buffers = objects_in_plasma_[id]; + plasma::ObjectBuffer shm_buffer{std::make_shared( + buffers.first.data(), buffers.first.size()), + std::make_shared( + buffers.second.data(), buffers.second.size())}; + object_buffers->emplace_back(shm_buffer); + } return Status::OK(); } - Status Seal(const ObjectID &) override { return Status::OK(); } + Status GetExperimentalMutableObject( + const ObjectID &object_id, + std::unique_ptr *mutable_object) override { + return Status::OK(); + } - Status Abort(const ObjectID &) override { return Status::OK(); } + Status Release(const ObjectID &object_id) override { + objects_in_plasma_.erase(object_id); + return Status::OK(); + } - Status CreateAndSpillIfNeeded(const ObjectID &, - const ray::rpc::Address &, - bool, - int64_t, - const uint8_t *, - int64_t, - std::shared_ptr *, - flatbuf::ObjectSource, - int) override { + Status Contains(const ObjectID &object_id, bool *has_object) override { + *has_object = objects_in_plasma_.contains(object_id); return Status::OK(); } - Status TryCreateImmediately(const ObjectID &, - const ray::rpc::Address &, - int64_t, - const uint8_t *, - int64_t, - std::shared_ptr *, - flatbuf::ObjectSource, - int) override { + Status Abort(const ObjectID &object_id) override { return Status::OK(); } + + Status Seal(const ObjectID &object_id) override { return Status::OK(); } + + Status Delete(const std::vector &object_ids) override { + num_free_objects_requests++; + for (const auto &id : object_ids) { + objects_in_plasma_.erase(id); + } return Status::OK(); } - Status Delete(const std::vector &) override { return Status::OK(); } + Status Disconnect() override { return Status::OK(); }; + + std::string DebugString() { return ""; } + + int64_t store_capacity() { return 0; } StatusOr GetMemoryUsage() override { return std::string("fake"); } - private: - std::vector> *observed_batches_; + absl::flat_hash_map, std::vector>> + objects_in_plasma_; + uint32_t num_free_objects_requests = 0; }; } // namespace plasma diff --git a/src/mock/ray/object_manager/object_manager.h b/src/mock/ray/object_manager/object_manager.h index 67813e247ca2..3f16bb85b3f5 100644 --- a/src/mock/ray/object_manager/object_manager.h +++ b/src/mock/ray/object_manager/object_manager.h @@ -54,6 +54,8 @@ class MockObjectManager : public ObjectManagerInterface { MOCK_METHOD(void, Stop, (), (override)); MOCK_METHOD(void, RecordMetrics, (), (override)); MOCK_METHOD(void, HandleNodeRemoved, (const NodeID &node_id), (override)); + MOCK_METHOD(void, HandleObjectAdded, (const ObjectInfo &object_info), (override)); + MOCK_METHOD(void, HandleObjectDeleted, (const ObjectID &object_id), (override)); }; } // namespace ray diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 5ffc9b9081ed..ebe575525e53 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -19,8 +19,8 @@ ray_cc_library( "//src/ray/object_manager/plasma:plasma_store_server_lib", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/rpc:object_manager_client", - "//src/ray/rpc:object_manager_server", + "//src/ray/rpc/object_manager:object_manager_client_interface", + "//src/ray/rpc/object_manager:object_manager_server", "@com_google_absl//absl/container:flat_hash_map", ], ) diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index e43af1acc6a4..4c2dafed127b 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -66,44 +66,24 @@ ObjectManager::ObjectManager( IObjectDirectory *object_directory, RestoreSpilledObjectCallback restore_spilled_object, std::function get_spilled_object_url, - SpillObjectsCallback spill_objects_callback, - std::function object_store_full_callback, - AddObjectCallback add_object_callback, - DeleteObjectCallback delete_object_callback, std::function(const ObjectID &object_id)> pin_object, - const std::function fail_pull_request) + std::function fail_pull_request, + const std::shared_ptr &buffer_pool_store_client, + std::unique_ptr object_store_internal, + std::function( + const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager)> object_manager_client_factory, + instrumented_io_context &rpc_service) : main_service_(&main_service), self_node_id_(self_node_id), config_(config), gcs_client_(gcs_client), object_directory_(object_directory), - object_store_internal_(std::make_unique( - config, - spill_objects_callback, - object_store_full_callback, - /*add_object_callback=*/ - [this, add_object_callback = std::move(add_object_callback)]( - const ObjectInfo &object_info) { - main_service_->post( - [this, object_info, &add_object_callback]() { - HandleObjectAdded(object_info); - add_object_callback(object_info); - }, - "ObjectManager.ObjectAdded"); - }, - /*delete_object_callback=*/ - [this, delete_object_callback = std::move(delete_object_callback)]( - const ObjectID &object_id) { - main_service_->post( - [this, object_id, &delete_object_callback]() { - HandleObjectDeleted(object_id); - delete_object_callback(object_id); - }, - "ObjectManager.ObjectDeleted"); - })), - buffer_pool_store_client_(std::make_shared()), + object_store_internal_(std::move(object_store_internal)), + buffer_pool_store_client_(buffer_pool_store_client), buffer_pool_(buffer_pool_store_client_, config_.object_chunk_size), - rpc_work_(rpc_service_.get_executor()), + rpc_service_(rpc_service), object_manager_server_("ObjectManager", config_.object_manager_port, config_.object_manager_address == "127.0.0.1", @@ -119,7 +99,8 @@ ObjectManager::ObjectManager( push_manager_(std::make_unique(/* max_chunks_in_flight= */ std::max( static_cast(1L), static_cast(config_.max_bytes_in_flight / - config_.object_chunk_size)))) { + config_.object_chunk_size)))), + object_manager_client_factory_(std::move(object_manager_client_factory)) { RAY_CHECK_GT(config_.rpc_service_threads_number, 0); pull_retry_timer_.async_wait([this](const boost::system::error_code &e) { Tick(e); }); @@ -173,16 +154,7 @@ bool ObjectManager::IsPlasmaObjectSpillable(const ObjectID &object_id) { return plasma::plasma_store_runner->IsPlasmaObjectSpillable(object_id); } -void ObjectManager::RunRpcService(int index) { - SetThreadName(absl::StrFormat("rpc.obj.mgr.%d", index)); - rpc_service_.run(); -} - void ObjectManager::StartRpcService() { - rpc_threads_.resize(config_.rpc_service_threads_number); - for (int i = 0; i < config_.rpc_service_threads_number; i++) { - rpc_threads_[i] = std::thread(&ObjectManager::RunRpcService, this, i); - } object_manager_server_.RegisterService( std::make_unique(rpc_service_, *this), false /* token_auth */); @@ -191,11 +163,6 @@ void ObjectManager::StartRpcService() { void ObjectManager::StopRpcService() { rpc_service_.stop(); - for (int i = 0; i < config_.rpc_service_threads_number; i++) { - if (rpc_threads_[i].joinable()) { - rpc_threads_[i].join(); - } - } object_manager_server_.Shutdown(); } @@ -516,14 +483,15 @@ void ObjectManager::PushObjectInternal(const ObjectID &object_id, }); } -void ObjectManager::SendObjectChunk(const UniqueID &push_id, - const ObjectID &object_id, - const NodeID &node_id, - uint64_t chunk_index, - std::shared_ptr rpc_client, - std::function on_complete, - std::shared_ptr chunk_reader, - bool from_disk) { +void ObjectManager::SendObjectChunk( + const UniqueID &push_id, + const ObjectID &object_id, + const NodeID &node_id, + uint64_t chunk_index, + std::shared_ptr rpc_client, + std::function on_complete, + std::shared_ptr chunk_reader, + bool from_disk) { double start_time = absl::GetCurrentTimeNanos() / 1e9; rpc::PushRequest push_request; // Set request header @@ -671,9 +639,11 @@ void ObjectManager::FreeObjects(const std::vector &object_ids, bool local_only) { buffer_pool_.FreeObjects(object_ids); if (!local_only) { - std::vector> rpc_clients; + std::vector> rpc_clients; + // TODO(#56414): optimize this so we don't have to send a free objects request for + // every object to every node const auto &node_info_map = gcs_client_.Nodes().GetAll(); - for (const auto &[node_id, node_info] : node_info_map) { + for (const auto &[node_id, _] : node_info_map) { if (node_id == self_node_id_) { continue; } @@ -692,7 +662,7 @@ void ObjectManager::FreeObjects(const std::vector &object_ids, void ObjectManager::SpreadFreeObjectsRequest( const std::vector &object_ids, - const std::vector> &rpc_clients) { + const std::vector> &rpc_clients) { // This code path should be called from node manager. rpc::FreeObjectsRequest free_objects_request; for (const auto &e : object_ids) { @@ -711,7 +681,7 @@ void ObjectManager::SpreadFreeObjectsRequest( } } -std::shared_ptr ObjectManager::GetRpcClient( +std::shared_ptr ObjectManager::GetRpcClient( const NodeID &node_id) { auto it = remote_object_manager_clients_.find(node_id); if (it != remote_object_manager_clients_.end()) { @@ -722,9 +692,9 @@ std::shared_ptr ObjectManager::GetRpcClient( return nullptr; } auto object_manager_client = - std::make_shared(node_info->node_manager_address(), - node_info->object_manager_port(), - client_call_manager_); + object_manager_client_factory_(node_info->node_manager_address(), + node_info->object_manager_port(), + client_call_manager_); RAY_LOG(DEBUG) << "Get rpc client, address: " << node_info->node_manager_address() << ", port: " << node_info->object_manager_port() diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 593f2d2b1455..3a8658393a12 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -30,7 +30,7 @@ #include "ray/object_manager/object_directory.h" #include "ray/object_manager/pull_manager.h" #include "ray/object_manager/push_manager.h" -#include "ray/rpc/object_manager/object_manager_client.h" +#include "ray/rpc/object_manager/object_manager_client_interface.h" #include "ray/rpc/object_manager/object_manager_server.h" #include "ray/stats/metric.h" #include "src/ray/protobuf/common.pb.h" @@ -78,6 +78,7 @@ struct LocalObjectInfo { /// Information from the object store about the object. ObjectInfo object_info; }; + class ObjectStoreRunner { public: ObjectStoreRunner(const ObjectManagerConfig &config, @@ -108,10 +109,12 @@ class ObjectManagerInterface { virtual bool PullManagerHasPullsQueued() const = 0; virtual int64_t GetMemoryCapacity() const = 0; virtual std::string DebugString() const = 0; - virtual void FillObjectStoreStats(rpc::GetNodeStatsReply *reply) const = 0; + virtual void FillObjectStoreStats(rpc::GetNodeStatsReply *repOly) const = 0; virtual double GetUsedMemoryPercentage() const = 0; virtual void Stop() = 0; virtual void RecordMetrics() = 0; + virtual void HandleObjectAdded(const ObjectInfo &object_info) = 0; + virtual void HandleObjectDeleted(const ObjectID &object_id) = 0; virtual ~ObjectManagerInterface() = default; }; @@ -164,7 +167,6 @@ class ObjectManager : public ObjectManagerInterface, return pull_manager_->NumInactivePulls(task_key); } - public: /// Takes user-defined IObjectDirectory implementation. /// When this constructor is used, the ObjectManager assumes ownership of /// the given ObjectDirectory instance. @@ -180,12 +182,15 @@ class ObjectManager : public ObjectManagerInterface, IObjectDirectory *object_directory, RestoreSpilledObjectCallback restore_spilled_object, std::function get_spilled_object_url, - SpillObjectsCallback spill_objects_callback, - std::function object_store_full_callback, - AddObjectCallback add_object_callback, - DeleteObjectCallback delete_object_callback, std::function(const ObjectID &object_id)> pin_object, - std::function fail_pull_request); + std::function fail_pull_request, + const std::shared_ptr &buffer_pool_store_client, + std::unique_ptr object_store_internal, + std::function( + const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager)> object_manager_client_factory, + instrumented_io_context &rpc_service); ~ObjectManager() override; @@ -268,13 +273,14 @@ class ObjectManager : public ObjectManagerInterface, private: friend class TestObjectManager; + friend uint32_t NumRemoteFreeObjectsRequests(const ObjectManager &object_manager); /// Spread the Free request to all objects managers. /// /// \param object_ids the The list of ObjectIDs to be deleted. void SpreadFreeObjectsRequest( const std::vector &object_ids, - const std::vector> &rpc_clients); + const std::vector> &rpc_clients); /// Pushing a known local object to a remote object manager. /// @@ -320,7 +326,7 @@ class ObjectManager : public ObjectManagerInterface, const ObjectID &object_id, const NodeID &node_id, uint64_t chunk_index, - std::shared_ptr rpc_client, + std::shared_ptr rpc_client, std::function on_complete, std::shared_ptr chunk_reader, bool from_disk); @@ -333,12 +339,12 @@ class ObjectManager : public ObjectManagerInterface, /// Handle an object being added to this node. This adds the object to the /// directory, pushes the object to other nodes if necessary, and cancels any /// outstanding Pull requests for the object. - void HandleObjectAdded(const ObjectInfo &object_info); + void HandleObjectAdded(const ObjectInfo &object_info) override; /// Handle an object being deleted from this node. This registers object remove /// with directory. This also asks the pull manager to fetch this object again /// as soon as possible. - void HandleObjectDeleted(const ObjectID &object_id); + void HandleObjectDeleted(const ObjectID &object_id) override; /// This is used to notify the main thread that the sending of a chunk has /// completed. @@ -398,7 +404,7 @@ class ObjectManager : public ObjectManagerInterface, /// Get the rpc client according to the node ID /// /// \param node_id Remote node id, will send rpc request to it - std::shared_ptr GetRpcClient(const NodeID &node_id); + std::shared_ptr GetRpcClient(const NodeID &node_id); /// Weak reference to main service. We ensure this object is destroyed before /// main_service_ is stopped. @@ -418,20 +424,13 @@ class ObjectManager : public ObjectManagerInterface, /// Used by the buffer pool to read and write objects in the local store /// during object transfers. - std::shared_ptr buffer_pool_store_client_; + std::shared_ptr buffer_pool_store_client_; /// Manages accesses to local objects for object transfers. ObjectBufferPool buffer_pool_; /// Multi-thread asio service, deal with all outgoing and incoming RPC request. - instrumented_io_context rpc_service_; - - /// Keep rpc service running when no task in rpc service. - boost::asio::executor_work_guard rpc_work_; - - /// The thread pool used for running `rpc_service`. - /// Data copy operations during request are done in this thread pool. - std::vector rpc_threads_; + instrumented_io_context &rpc_service_; /// Mapping from locally available objects to information about those objects /// including when the object was last pushed to other object managers. @@ -456,7 +455,7 @@ class ObjectManager : public ObjectManagerInterface, rpc::ClientCallManager client_call_manager_; /// Client id - object manager gRPC client. - absl::flat_hash_map> + absl::flat_hash_map> remote_object_manager_clients_; /// Callback to trigger direct restoration of an object. @@ -475,6 +474,13 @@ class ObjectManager : public ObjectManagerInterface, /// Object pull manager. std::unique_ptr pull_manager_; + /// Factory function to create object manager client. + std::function( + const std::string &address, + const int port, + rpc::ClientCallManager &client_call_manager)> + object_manager_client_factory_; + /// Running sum of the amount of memory used in the object store. int64_t used_memory_ = 0; diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index c59944be6ddc..ac154895c962 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -103,3 +103,21 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "object_manager_test", + size = "medium", + srcs = [ + "object_manager_test.cc", + ], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/fakes/ray/object_manager/plasma:fake_plasma_client", + "//src/ray/common:test_utils", + "//src/ray/object_manager", + "//src/ray/rpc/object_manager:fake_object_manager_client", + "//src/ray/util:temporary_directory", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc new file mode 100644 index 000000000000..4a6f99f8a1b0 --- /dev/null +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -0,0 +1,142 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/object_manager/object_manager.h" + +#include + +#include +#include +#include +#include +#include + +#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" +#include "gmock/gmock.h" +#include "gtest/gtest.h" +#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/object_manager/object_directory.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/buffer.h" +#include "ray/common/id.h" +#include "ray/common/ray_object.h" +#include "ray/common/status.h" +#include "ray/object_manager/common.h" +#include "ray/rpc/object_manager/fake_object_manager_client.h" +#include "ray/util/temporary_directory.h" + +namespace ray { + +using ::testing::_; +using ::testing::Invoke; +using ::testing::Return; + +class ObjectManagerTest : public ::testing::Test { + protected: + ObjectManagerTest() + : io_work_(boost::asio::make_work_guard(io_context_.get_executor())), + rpc_work_(boost::asio::make_work_guard(rpc_context_.get_executor())) { + ObjectManagerConfig config_; + config_.object_manager_address = "127.0.0.1"; + config_.object_manager_port = 0; + config_.store_socket_name = "test_store_socket"; + config_.rpc_service_threads_number = 1; + + local_node_id_ = NodeID::FromRandom(); + mock_gcs_client_ = std::make_unique(); + mock_object_directory_ = std::make_unique(); + fake_plasma_client_ = std::make_shared(); + + object_manager_ = std::make_unique( + io_context_, + local_node_id_, + config_, + *mock_gcs_client_, + mock_object_directory_.get(), + // RestoreSpilledObjectCallback + [](const ObjectID &object_id, + int64_t object_size, + const std::string &object_url, + std::function callback) {}, + // get_spilled_object_url + [](const ObjectID &object_id) -> std::string { return ""; }, + // pin_object + [](const ObjectID &object_id) -> std::unique_ptr { return nullptr; }, + // fail_pull_request + [](const ObjectID &object_id, rpc::ErrorType error_type) {}, + fake_plasma_client_, + nullptr, + [](const std::string &address, + const int port, + ray::rpc::ClientCallManager &client_call_manager) { + return std::make_shared( + address, port, client_call_manager); + }, + rpc_context_); + } + + NodeID local_node_id_; + + std::unique_ptr mock_gcs_client_; + std::unique_ptr mock_object_directory_; + std::unique_ptr object_manager_; + std::shared_ptr fake_plasma_client_; + + instrumented_io_context io_context_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + instrumented_io_context rpc_context_{/*enable_lag_probe=*/false, + /*running_on_single_thread=*/true}; + boost::asio::executor_work_guard io_work_; + boost::asio::executor_work_guard rpc_work_; +}; + +uint32_t NumRemoteFreeObjectsRequests(const ObjectManager &object_manager) { + uint32_t num_free_objects_requests = 0; + for (const auto &[node_id, rpc_client] : + object_manager.remote_object_manager_clients_) { + auto fake_rpc_client = + std::dynamic_pointer_cast(rpc_client); + num_free_objects_requests += fake_rpc_client->num_free_objects_requests; + } + return num_free_objects_requests; +} + +TEST_F(ObjectManagerTest, TestFreeObjectsLocalOnlyFalse) { + auto object_id = ObjectID::FromRandom(); + + absl::flat_hash_map node_info_map_; + rpc::GcsNodeInfo self_node_info; + self_node_info.set_node_id(local_node_id_.Binary()); + node_info_map_[local_node_id_] = self_node_info; + NodeID remote_node_id_ = NodeID::FromRandom(); + rpc::GcsNodeInfo remote_node_info; + remote_node_info.set_node_id(remote_node_id_.Binary()); + node_info_map_[remote_node_id_] = remote_node_info; + + EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, GetAll()) + .WillOnce(::testing::ReturnRef(node_info_map_)); + EXPECT_CALL(*mock_gcs_client_->mock_node_accessor, Get(remote_node_id_, _)) + .WillOnce(::testing::Return(&remote_node_info)); + + fake_plasma_client_->objects_in_plasma_[object_id] = + std::make_pair(std::vector(1), std::vector(1)); + object_manager_->FreeObjects({object_id}, false); + ASSERT_EQ(fake_plasma_client_->num_free_objects_requests, 1); + ASSERT_TRUE(!fake_plasma_client_->objects_in_plasma_.contains(object_id)); + ASSERT_EQ(NumRemoteFreeObjectsRequests(*object_manager_), 0); + ASSERT_EQ(rpc_context_.poll_one(), 1); + ASSERT_EQ(NumRemoteFreeObjectsRequests(*object_manager_), 1); +} + +} // namespace ray diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index ec69ba17b874..0625c5fba1d9 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -291,6 +291,7 @@ ray_cc_binary( "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:raylet_client_lib", "//src/ray/rpc:raylet_client_pool", + "//src/ray/rpc/object_manager:object_manager_client", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:event", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index c2421afe83b8..a440a64e6e79 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -36,6 +36,7 @@ #include "ray/raylet/local_object_manager.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/raylet.h" +#include "ray/rpc/object_manager/object_manager_client.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/cmd_line_utils.h" @@ -252,6 +253,16 @@ int main(int argc, char *argv[]) { boost::asio::executor_work_guard main_service_work(main_service.get_executor()); + instrumented_io_context object_manager_rpc_service{/*emit_metrics=*/false, + /*running_on_single_thread=*/false, + "object_manager_rpc_io_context"}; + boost::asio::executor_work_guard + object_manager_rpc_work(object_manager_rpc_service.get_executor()); + + /// The thread pool used for running `rpc_service`. + /// Data copy operations during request are done in this thread pool. + std::vector object_manager_rpc_threads; + // Initialize gcs client std::unique_ptr gcs_client; ray::gcs::GcsClientOptions client_options(FLAGS_gcs_address, @@ -325,15 +336,23 @@ int main(int argc, char *argv[]) { auto shutted_down = std::make_shared>(false); - auto shutdown_raylet_after_unregistration = - [&main_service, &raylet_socket_name, &raylet, &gcs_client]() { - // We should stop the service and remove the local socket file. - raylet->Stop(); - gcs_client->Disconnect(); - ray::stats::Shutdown(); - main_service.stop(); - remove(raylet_socket_name.c_str()); - }; + auto shutdown_raylet_after_unregistration = [&main_service, + &raylet_socket_name, + &raylet, + &gcs_client, + &object_manager_rpc_threads]() { + // We should stop the service and remove the local socket file. + raylet->Stop(); + gcs_client->Disconnect(); + ray::stats::Shutdown(); + main_service.stop(); + for (size_t i = 0; i < object_manager_rpc_threads.size(); i++) { + if (object_manager_rpc_threads[i].joinable()) { + object_manager_rpc_threads[i].join(); + } + } + remove(raylet_socket_name.c_str()); + }; // Shut down raylet gracefully, in a synchronous fashion. // This is an internal method and should only be run on the main_service. @@ -594,24 +613,8 @@ int main(int argc, char *argv[]) { node_manager->MarkObjectsAsFailed(error_type, {ref}, ray::JobID::Nil()); }); - object_manager = std::make_unique( - main_service, - raylet_node_id, + auto object_store_runner = std::make_unique( object_manager_config, - *gcs_client, - object_directory.get(), - /*restore_spilled_object=*/ - [&](const ray::ObjectID &object_id, - int64_t object_size, - const std::string &object_url, - std::function callback) { - local_object_manager->AsyncRestoreSpilledObject( - object_id, object_size, object_url, std::move(callback)); - }, - /*get_spilled_object_url=*/ - [&](const ray::ObjectID &object_id) { - return local_object_manager->GetLocalSpilledObjectURL(object_id); - }, /*spill_objects_callback=*/ [&]() { // This callback is called from the plasma store thread. @@ -631,11 +634,48 @@ int main(int argc, char *argv[]) { }, /*add_object_callback=*/ [&](const ray::ObjectInfo &object_info) { - node_manager->HandleObjectLocal(object_info); + main_service.post( + [&object_manager, &node_manager, object_info]() { + object_manager->HandleObjectAdded(object_info); + node_manager->HandleObjectLocal(object_info); + }, + "ObjectManager.ObjectAdded"); }, /*delete_object_callback=*/ [&](const ray::ObjectID &object_id) { - node_manager->HandleObjectMissing(object_id); + main_service.post( + [&object_manager, &node_manager, object_id]() { + object_manager->HandleObjectDeleted(object_id); + node_manager->HandleObjectMissing(object_id); + }, + "ObjectManager.ObjectDeleted"); + }); + + object_manager_rpc_threads.resize(object_manager_config.rpc_service_threads_number); + for (int i = 0; i < object_manager_config.rpc_service_threads_number; i++) { + object_manager_rpc_threads[i] = std::thread([&object_manager_rpc_service, i] { + SetThreadName(absl::StrFormat("rpc.obj.mgr.%d", i)); + object_manager_rpc_service.run(); + }); + } + + object_manager = std::make_unique( + main_service, + raylet_node_id, + object_manager_config, + *gcs_client, + object_directory.get(), + /*restore_spilled_object=*/ + [&](const ray::ObjectID &object_id, + int64_t object_size, + const std::string &object_url, + std::function callback) { + local_object_manager->AsyncRestoreSpilledObject( + object_id, object_size, object_url, std::move(callback)); + }, + /*get_spilled_object_url=*/ + [&](const ray::ObjectID &object_id) { + return local_object_manager->GetLocalSpilledObjectURL(object_id); }, /*pin_object=*/ [&](const ray::ObjectID &object_id) { @@ -653,7 +693,16 @@ int main(int argc, char *argv[]) { ray::rpc::ObjectReference ref; ref.set_object_id(object_id.Binary()); node_manager->MarkObjectsAsFailed(error_type, {ref}, ray::JobID::Nil()); - }); + }, + std::make_shared(), + std::move(object_store_runner), + [&](const std::string &address, + const int port, + ray::rpc::ClientCallManager &call_manager) { + return std::make_shared( + address, port, call_manager); + }, + object_manager_rpc_service); local_object_manager = std::make_unique( raylet_node_id, diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index bf264b24fecc..746660fbeca6 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -181,11 +181,11 @@ ray_cc_test( ":util", "//:ray_fakes", "//:ray_mock", + "//src/fakes/ray/object_manager/plasma:fake_plasma_client", "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:lease", "//src/ray/common:ray_object", "//src/ray/common:task_common", - "//src/ray/object_manager/plasma:plasma_client", "//src/ray/observability:fake_metric", "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 6b9469be35c5..b05d4c5ac0bd 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -21,6 +21,7 @@ #include #include +#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" #include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" @@ -28,13 +29,11 @@ #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_directory.h" #include "mock/ray/object_manager/object_manager.h" -#include "mock/ray/object_manager/plasma/client.h" #include "mock/ray/raylet/local_lease_manager.h" #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" #include "ray/common/scheduling/cluster_resource_data.h" -#include "ray/object_manager/plasma/client.h" #include "ray/observability/fake_metric.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" @@ -96,96 +95,6 @@ class FakeLocalObjectManager : public LocalObjectManagerInterface { std::shared_ptr> objects_pending_deletion_; }; -class FakePlasmaClient : public plasma::PlasmaClientInterface { - public: - Status Connect(const std::string &store_socket_name, - const std::string &manager_socket_name = "", - int num_retries = -1) override { - return Status::OK(); - }; - - Status CreateAndSpillIfNeeded(const ObjectID &object_id, - const ray::rpc::Address &owner_address, - bool is_mutable, - int64_t data_size, - const uint8_t *metadata, - int64_t metadata_size, - std::shared_ptr *data, - plasma::flatbuf::ObjectSource source, - int device_num = 0) override { - return TryCreateImmediately( - object_id, owner_address, data_size, metadata, metadata_size, data, source); - } - - Status TryCreateImmediately(const ObjectID &object_id, - const ray::rpc::Address &owner_address, - int64_t data_size, - const uint8_t *metadata, - int64_t metadata_size, - std::shared_ptr *data, - plasma::flatbuf::ObjectSource source, - int device_num = 0) override { - objects_ids_in_plasma_.emplace(object_id); - objects_in_plasma_.emplace( - object_id, std::make_pair(std::vector{}, std::vector{})); - return Status::OK(); - } - - Status Get(const std::vector &object_ids, - int64_t timeout_ms, - std::vector *object_buffers) override { - for (const auto &id : object_ids) { - auto &buffers = objects_in_plasma_[id]; - plasma::ObjectBuffer shm_buffer{std::make_shared( - buffers.first.data(), buffers.first.size()), - std::make_shared( - buffers.second.data(), buffers.second.size())}; - object_buffers->emplace_back(shm_buffer); - } - return Status::OK(); - } - - Status GetExperimentalMutableObject( - const ObjectID &object_id, - std::unique_ptr *mutable_object) override { - return Status::OK(); - } - - Status Release(const ObjectID &object_id) override { - objects_ids_in_plasma_.erase(object_id); - return Status::OK(); - } - - Status Contains(const ObjectID &object_id, bool *has_object) override { - *has_object = objects_ids_in_plasma_.find(object_id) != objects_ids_in_plasma_.end(); - return Status::OK(); - } - - Status Abort(const ObjectID &object_id) override { return Status::OK(); } - - Status Seal(const ObjectID &object_id) override { return Status::OK(); } - - Status Delete(const std::vector &object_ids) override { - for (const auto &id : object_ids) { - objects_ids_in_plasma_.erase(id); - } - return Status::OK(); - } - - Status Disconnect() override { return Status::OK(); }; - - std::string DebugString() { return ""; } - - int64_t store_capacity() { return 1; } - - StatusOr GetMemoryUsage() override { return std::string("fake"); } - - private: - absl::flat_hash_set objects_ids_in_plasma_; - absl::flat_hash_map, std::vector>> - objects_in_plasma_; -}; - LeaseSpecification BuildLeaseSpec( const std::unordered_map &resources) { TaskSpecBuilder builder; @@ -525,7 +434,7 @@ class NodeManagerTest : public ::testing::Test { std::unique_ptr mock_object_manager_; core::experimental::MockMutableObjectProvider *mock_mutable_object_provider_; std::shared_ptr mock_store_client_ = - std::make_shared(); + std::make_shared(); std::unique_ptr node_manager_; MockWorkerPool mock_worker_pool_; diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 584020804e6a..3b663ebf23f9 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -154,37 +154,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "object_manager_client", - hdrs = [ - "object_manager/object_manager_client.h", - ], - visibility = ["//visibility:public"], - deps = [ - "//src/ray/object_manager:object_manager_grpc_client_manager", - "//src/ray/protobuf:object_manager_cc_grpc", - "//src/ray/util:logging", - "@com_github_grpc_grpc//:grpc++", - ], -) - -ray_cc_library( - name = "object_manager_server", - hdrs = [ - "object_manager/object_manager_server.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":grpc_server", - ":server_call", - "//src/ray/common:asio", - "//src/ray/object_manager:object_manager_grpc_client_manager", - "//src/ray/protobuf:object_manager_cc_grpc", - "@boost//:asio", - "@com_github_grpc_grpc//:grpc++", - ], -) - ray_cc_library( name = "raylet_client_interface", hdrs = [ diff --git a/src/ray/rpc/object_manager/BUILD.bazel b/src/ray/rpc/object_manager/BUILD.bazel new file mode 100644 index 000000000000..d6bf8135ac43 --- /dev/null +++ b/src/ray/rpc/object_manager/BUILD.bazel @@ -0,0 +1,51 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "object_manager_client", + hdrs = [ + "object_manager_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":object_manager_client_interface", + "//src/ray/object_manager:object_manager_grpc_client_manager", + "//src/ray/protobuf:object_manager_cc_grpc", + "//src/ray/util:logging", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "object_manager_client_interface", + hdrs = ["object_manager_client_interface.h"], + deps = [ + "//src/ray/protobuf:object_manager_cc_proto", + ], +) + +ray_cc_library( + name = "object_manager_server", + hdrs = [ + "object_manager_server.h", + ], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/common:asio", + "//src/ray/object_manager:object_manager_grpc_client_manager", + "//src/ray/protobuf:object_manager_cc_grpc", + "//src/ray/rpc:grpc_server", + "//src/ray/rpc:server_call", + "@boost//:asio", + "@com_github_grpc_grpc//:grpc++", + ], +) + +ray_cc_library( + name = "fake_object_manager_client", + hdrs = ["fake_object_manager_client.h"], + deps = [ + ":object_manager_client_interface", + "//src/ray/common:status", + "//src/ray/protobuf:object_manager_cc_proto", + ], +) diff --git a/src/ray/rpc/object_manager/fake_object_manager_client.h b/src/ray/rpc/object_manager/fake_object_manager_client.h new file mode 100644 index 000000000000..97b0af8fc848 --- /dev/null +++ b/src/ray/rpc/object_manager/fake_object_manager_client.h @@ -0,0 +1,110 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include +#include +#include +#include +#include + +#include "ray/common/status.h" +#include "ray/rpc/object_manager/object_manager_client_interface.h" +#include "src/ray/protobuf/object_manager.pb.h" + +namespace ray { +namespace rpc { + +template +using ClientCallback = std::function; + +class FakeObjectManagerClient : public ObjectManagerClientInterface { + public: + FakeObjectManagerClient(const std::string &address, + const int port, + ClientCallManager &client_call_manager) + : address_(address), port_(port) {} + + void Push(const PushRequest &request, + const ClientCallback &callback) override { + num_push_requests++; + push_callbacks.push_back(callback); + } + + void Pull(const PullRequest &request, + const ClientCallback &callback) override { + num_pull_requests++; + pull_callbacks.push_back(callback); + } + + void FreeObjects(const FreeObjectsRequest &request, + const ClientCallback &callback) override { + num_free_objects_requests++; + free_objects_callbacks.push_back(callback); + } + + bool ReplyPush(const Status &status = Status::OK()) { + if (push_callbacks.empty()) { + return false; + } + PushReply reply; + auto callback = push_callbacks.front(); + push_callbacks.pop_front(); + callback(status, std::move(reply)); + return true; + } + + bool ReplyPull(const Status &status = Status::OK()) { + if (pull_callbacks.empty()) { + return false; + } + PullReply reply; + auto callback = pull_callbacks.front(); + pull_callbacks.pop_front(); + callback(status, std::move(reply)); + return true; + } + + bool ReplyFreeObjects(const Status &status = Status::OK()) { + if (free_objects_callbacks.empty()) { + return false; + } + FreeObjectsReply reply; + auto callback = free_objects_callbacks.front(); + free_objects_callbacks.pop_front(); + callback(status, std::move(reply)); + return true; + } + + const std::string &GetAddress() const { return address_; } + + int GetPort() const { return port_; } + + uint32_t num_push_requests = 0; + uint32_t num_pull_requests = 0; + uint32_t num_free_objects_requests = 0; + + std::list> push_callbacks; + std::list> pull_callbacks; + std::list> free_objects_callbacks; + + std::string address_; + int port_; +}; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/object_manager/object_manager_client.h b/src/ray/rpc/object_manager/object_manager_client.h index 1adadb9d72bd..121363961346 100644 --- a/src/ray/rpc/object_manager/object_manager_client.h +++ b/src/ray/rpc/object_manager/object_manager_client.h @@ -25,6 +25,7 @@ #include "ray/common/status.h" #include "ray/object_manager/grpc_client_manager.h" #include "ray/rpc/grpc_client.h" +#include "ray/rpc/object_manager/object_manager_client_interface.h" #include "ray/util/logging.h" #include "src/ray/protobuf/object_manager.grpc.pb.h" #include "src/ray/protobuf/object_manager.pb.h" @@ -32,8 +33,8 @@ namespace ray { namespace rpc { -/// Client used for communicating with a remote node manager server. -class ObjectManagerClient { +/// Client used for communicating with a remote object manager server. +class ObjectManagerClient : public ObjectManagerClientInterface { public: /// Constructor. /// @@ -54,7 +55,8 @@ class ObjectManagerClient { VOID_RPC_CLIENT_METHOD(ObjectManagerService, Push, grpc_client_manager_->GetGrpcClient(), - /*method_timeout_ms*/ -1, ) + /*method_timeout_ms*/ -1, + override) /// Pull object from remote object manager /// @@ -63,7 +65,8 @@ class ObjectManagerClient { VOID_RPC_CLIENT_METHOD(ObjectManagerService, Pull, grpc_client_manager_->GetGrpcClient(), - /*method_timeout_ms*/ -1, ) + /*method_timeout_ms*/ -1, + override) /// Tell remote object manager to free objects /// @@ -72,7 +75,8 @@ class ObjectManagerClient { VOID_RPC_CLIENT_METHOD(ObjectManagerService, FreeObjects, grpc_client_manager_->GetGrpcClient(), - /*method_timeout_ms*/ -1, ) + /*method_timeout_ms*/ -1, + override) private: std::unique_ptr> grpc_client_manager_; diff --git a/src/ray/rpc/object_manager/object_manager_client_interface.h b/src/ray/rpc/object_manager/object_manager_client_interface.h new file mode 100644 index 000000000000..ad74fcf5ffdd --- /dev/null +++ b/src/ray/rpc/object_manager/object_manager_client_interface.h @@ -0,0 +1,52 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "src/ray/protobuf/object_manager.pb.h" + +namespace ray { +namespace rpc { + +template +using ClientCallback = std::function; +/// Abstract client interface for object manager clients. +class ObjectManagerClientInterface { + public: + virtual ~ObjectManagerClientInterface() = default; + + /// Push object to remote object manager + /// + /// \param request The request message. + /// \param callback The callback function that handles reply from server + virtual void Push(const PushRequest &request, + const ClientCallback &callback) = 0; + + /// Pull object from remote object manager + /// + /// \param request The request message + /// \param callback The callback function that handles reply from server + virtual void Pull(const PullRequest &request, + const ClientCallback &callback) = 0; + + /// Tell remote object manager to free objects + /// + /// \param request The request message + /// \param callback The callback function that handles reply + virtual void FreeObjects(const FreeObjectsRequest &request, + const ClientCallback &callback) = 0; +}; + +} // namespace rpc +} // namespace ray From ec91155fda98d7de77d1321ef166a07d0249dbdb Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 11 Sep 2025 15:22:04 -0700 Subject: [PATCH 1172/1566] [core] (cgroups 6/n) CgroupManager cleans up the entire cgroup hierarchy in reverse order when destroyed. (#56260) Signed-off-by: irabbani Signed-off-by: Ibrahim Rabbani Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 4 - python/ray/_private/workers/default_worker.py | 1 - python/ray/_raylet.pyx | 3 +- python/ray/includes/libcoreworker.pxd | 1 - src/ray/common/cgroup2/BUILD.bazel | 62 +++-- src/ray/common/cgroup2/cgroup_manager.cc | 75 +++--- src/ray/common/cgroup2/cgroup_manager.h | 7 +- src/ray/common/cgroup2/fake_cgroup_driver.h | 109 ++++++-- src/ray/common/cgroup2/noop_cgroup_manager.cc | 39 +++ .../cgroup2/tests/cgroup_manager_test.cc | 233 +++++++++++++++--- src/ray/core_worker/core_worker_options.h | 7 +- src/ray/core_worker/core_worker_process.cc | 7 - src/ray/raylet/BUILD.bazel | 3 +- src/ray/raylet/main.cc | 75 +++++- src/ray/raylet/node_manager.h | 3 - src/ray/raylet/tests/worker_pool_test.cc | 3 +- src/ray/raylet/worker_pool.cc | 12 +- src/ray/raylet/worker_pool.h | 8 +- 18 files changed, 493 insertions(+), 159 deletions(-) create mode 100644 src/ray/common/cgroup2/noop_cgroup_manager.cc diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 6657a9246033..f40a8c4f0464 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -2440,7 +2440,6 @@ def is_initialized() -> bool: return ray._private.worker.global_worker.connected -# TODO(hjiang): Add cgroup path along with [enable_resource_isolation]. @with_connect_or_shutdown_lock def connect( node, @@ -2459,7 +2458,6 @@ def connect( worker_launch_time_ms: int = -1, worker_launched_time_ms: int = -1, debug_source: str = "", - enable_resource_isolation: bool = False, ): """Connect this worker to the raylet, to Plasma, and to GCS. @@ -2488,7 +2486,6 @@ def connect( finshes launching. If the worker is not launched by raylet (e.g., driver), this must be -1 (default value). debug_source: Source information for `CoreWorker`, used for debugging and informational purpose, rather than functional purpose. - enable_resource_isolation: If true, core worker enables resource isolation by adding itself into appropriate cgroup. """ # Do some basic checking to make sure we didn't call ray.init twice. error_message = "Perhaps you called ray.init twice by accident?" @@ -2667,7 +2664,6 @@ def connect( worker_launch_time_ms, worker_launched_time_ms, debug_source, - enable_resource_isolation, ) if mode == SCRIPT_MODE: diff --git a/python/ray/_private/workers/default_worker.py b/python/ray/_private/workers/default_worker.py index cb6bce0043f6..12cf83040574 100644 --- a/python/ray/_private/workers/default_worker.py +++ b/python/ray/_private/workers/default_worker.py @@ -271,7 +271,6 @@ ray_debugger_external=args.ray_debugger_external, worker_launch_time_ms=args.worker_launch_time_ms, worker_launched_time_ms=worker_launched_time_ms, - enable_resource_isolation=args.enable_resource_isolation, ) worker = ray._private.worker.global_worker diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index ef082647473c..f5548d8edc40 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -3002,7 +3002,7 @@ cdef class CoreWorker: local_mode, driver_name, serialized_job_config, metrics_agent_port, runtime_env_hash, startup_token, session_name, cluster_id, entrypoint, - worker_launch_time_ms, worker_launched_time_ms, debug_source, enable_resource_isolation): + worker_launch_time_ms, worker_launched_time_ms, debug_source): self.is_local_mode = local_mode cdef CCoreWorkerOptions options = CCoreWorkerOptions() @@ -3058,7 +3058,6 @@ cdef class CoreWorker: options.worker_launch_time_ms = worker_launch_time_ms options.worker_launched_time_ms = worker_launched_time_ms options.debug_source = debug_source - options.enable_resource_isolation = enable_resource_isolation CCoreWorkerProcess.Initialize(options) self.cgname_to_eventloop_dict = None diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index f010f3a13c0b..5a65b6b3cc8b 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -439,7 +439,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int64_t worker_launch_time_ms int64_t worker_launched_time_ms c_string debug_source - c_bool enable_resource_isolation cdef cppclass CCoreWorkerProcess "ray::core::CoreWorkerProcess": @staticmethod diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index 85cd2a9dc059..a3f39c7040ad 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -1,13 +1,40 @@ load("//bazel:ray.bzl", "ray_cc_library") +config_setting( + name = "is_linux", + constraint_values = ["@platforms//os:linux"], +) + +# Public targets. +ray_cc_library( + name = "cgroup_manager", + srcs = select({ + ":is_linux": ["cgroup_manager.cc"], + "//conditions:default": ["noop_cgroup_manager.cc"], + }), + hdrs = ["cgroup_manager.h"], + visibility = ["//visibility:public"], + deps = [ + ":cgroup_driver_interface", + ":cgroup_manager_interface", + "//src/ray/common:status", + "//src/ray/common:status_or", + ] + select({ + ":is_linux": [ + ":scoped_cgroup_operation", + "//src/ray/util:logging", + "@com_google_absl//absl/strings", + ], + "//conditions:default": [], + }), +) + ray_cc_library( name = "cgroup_driver_interface", hdrs = [ "cgroup_driver_interface.h", ], - target_compatible_with = [ - "@platforms//os:linux", - ], + visibility = ["//visibility:public"], deps = [ "//src/ray/common:status", "//src/ray/common:status_or", @@ -19,9 +46,7 @@ ray_cc_library( hdrs = [ "cgroup_manager_interface.h", ], - target_compatible_with = [ - "@platforms//os:linux", - ], + visibility = ["//visibility:public"], deps = [ "//src/ray/common:status", "//src/ray/common:status_or", @@ -29,18 +54,17 @@ ray_cc_library( ) ray_cc_library( - name = "cgroup_manager", - srcs = ["cgroup_manager.cc"], + name = "sysfs_cgroup_driver", + srcs = ["sysfs_cgroup_driver.cc"], hdrs = [ - "cgroup_manager.h", - "scoped_cgroup_operation.h", + "sysfs_cgroup_driver.h", ], target_compatible_with = [ "@platforms//os:linux", ], + visibility = ["//visibility:public"], deps = [ ":cgroup_driver_interface", - ":cgroup_manager_interface", "//src/ray/common:status", "//src/ray/common:status_or", "//src/ray/util:logging", @@ -48,22 +72,16 @@ ray_cc_library( ], ) +# Private Targets. ray_cc_library( - name = "sysfs_cgroup_driver", - srcs = ["sysfs_cgroup_driver.cc"], + name = "scoped_cgroup_operation", hdrs = [ - "sysfs_cgroup_driver.h", + "scoped_cgroup_operation.h", ], target_compatible_with = [ "@platforms//os:linux", ], - deps = [ - ":cgroup_driver_interface", - "//src/ray/common:status", - "//src/ray/common:status_or", - "//src/ray/util:logging", - "@com_google_absl//absl/strings", - ], + visibility = [":__subpackages__"], ) ray_cc_library( @@ -74,6 +92,7 @@ ray_cc_library( target_compatible_with = [ "@platforms//os:linux", ], + visibility = [":__subpackages__"], deps = [ ":cgroup_driver_interface", "//src/ray/common:status", @@ -87,6 +106,7 @@ ray_cc_library( target_compatible_with = [ "@platforms//os:linux", ], + visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", "//src/ray/common:status", diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index 28402ba27617..e210191565d2 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -113,48 +113,65 @@ StatusOr> CgroupManager::Create( return cgroup_manager; } -// TODO(#54703): This is a placeholder for cleanup. This will call -// CgroupDriver::DeleteCgroup. void CgroupManager::RegisterDeleteCgroup(const std::string &cgroup_path) { - cleanup_operations_.emplace_back([cgroup = cgroup_path]() { - RAY_LOG(INFO) << absl::StrFormat("Deleting all cgroup %s.", cgroup); + cleanup_operations_.emplace_back([this, cgroup = cgroup_path]() { + Status s = this->cgroup_driver_->DeleteCgroup(cgroup); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to delete cgroup %s with error %s.", cgroup, s.ToString()); + } }); } -// TODO(#54703): This is a placeholder for cleanup. This will call -// CgroupDriver::MoveAllProcesses. void CgroupManager::RegisterMoveAllProcesses(const std::string &from, const std::string &to) { - cleanup_operations_.emplace_back([from_cgroup = from, to_cgroup = to]() { - RAY_LOG(INFO) << absl::StrFormat( - "Moved All Processes from %s to %s.", from_cgroup, to_cgroup); + cleanup_operations_.emplace_back([this, from_cgroup = from, to_cgroup = to]() { + Status s = this->cgroup_driver_->MoveAllProcesses(from_cgroup, to_cgroup); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to move all processes from %s to %s with error %s", + from_cgroup, + to_cgroup, + s.ToString()); + } }); } -// TODO(#54703): This is a placeholder for cleanup. This will call -// CgroupDriver::AddConstraint(cgroup, constraint, default_value). template void CgroupManager::RegisterRemoveConstraint(const std::string &cgroup, const Constraint &constraint) { cleanup_operations_.emplace_back( - [constrained_cgroup = cgroup, constraint_to_remove = constraint]() { - RAY_LOG(INFO) << absl::StrFormat( - "Setting constraint %s to default value %lld for cgroup %s", - constraint_to_remove.name_, - constraint_to_remove.default_value_, - constrained_cgroup); + [this, constrained_cgroup = cgroup, constraint_to_remove = constraint]() { + std::string default_value = std::to_string(constraint_to_remove.default_value_); + Status s = this->cgroup_driver_->AddConstraint(constrained_cgroup, + constraint_to_remove.controller_, + constraint_to_remove.name_, + default_value); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to set constraint %s=%s to default value for cgroup %s with error " + "%s.", + constraint_to_remove.name_, + default_value, + constrained_cgroup, + s.ToString()); + } }); } -// TODO(#54703): This is a placeholder for cleanup. This will call -// CgroupDriver::DisableController. -void CgroupManager::RegisterDisableController(const std::string &cgroup, +void CgroupManager::RegisterDisableController(const std::string &cgroup_path, const std::string &controller) { - cleanup_operations_.emplace_back([cgroup_to_clean = cgroup, - controller_to_disable = controller]() { - RAY_LOG(INFO) << absl::StrFormat( - "Disabling controller %s for cgroup %s.", controller_to_disable, cgroup_to_clean); - }); + cleanup_operations_.emplace_back( + [this, cgroup = cgroup_path, controller_to_disable = controller]() { + Status s = this->cgroup_driver_->DisableController(cgroup, controller_to_disable); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to disable controller %s for cgroup %s with error %s", + controller_to_disable, + cgroup, + s.ToString()); + } + }); } Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, @@ -168,11 +185,11 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, cpu_weight_constraint_.Max() - system_reserved_cpu_weight; RAY_LOG(INFO) << absl::StrFormat( - "Initializing CgroupManager at base cgroup path at %s. Ray's cgroup " - "hierarchy will under the node cgroup %s. The %s controllers will be " + "Initializing CgroupManager at base cgroup at '%s'. Ray's cgroup " + "hierarchy will under the node cgroup at '%s'. The %s controllers will be " "enabled. " - "System cgroup %s will have constraints [%s=%lld, %s=%lld]. " - "Application cgroup %s will have constraints [%s=%lld].", + "The system cgroup at '%s' will have constraints [%s=%lld, %s=%lld]. " + "The application cgroup '%s' will have constraints [%s=%lld].", base_cgroup_path_, node_cgroup_path_, supported_controllers, diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h index ba402d496c32..466abe6e1257 100644 --- a/src/ray/common/cgroup2/cgroup_manager.h +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -111,9 +111,10 @@ class CgroupManager : public CgroupManagerInterface { Status Initialize(const int64_t system_reserved_cpu_weight, const int64_t system_reserved_memory_bytes); - // TODO(#54703): This is a placeholder for cleanup. This will be implemented in the a - // future PR. - void RegisterDeleteCgroup(const std::string &cgroup_path); + // The Register* methods register a callback that will execute in the destructor + // in FILO order. All callbacks required the cgroup_driver_ to be available to + // remove the cgroup hierarchy. + void RegisterDeleteCgroup(const std::string &cgroup); void RegisterMoveAllProcesses(const std::string &from, const std::string &to); template void RegisterRemoveConstraint(const std::string &cgroup, diff --git a/src/ray/common/cgroup2/fake_cgroup_driver.h b/src/ray/common/cgroup2/fake_cgroup_driver.h index 6245d0fc1f5b..e49e63429670 100644 --- a/src/ray/common/cgroup2/fake_cgroup_driver.h +++ b/src/ray/common/cgroup2/fake_cgroup_driver.h @@ -29,7 +29,7 @@ namespace ray { struct FakeCgroup { std::string path_; std::vector processes_; - std::vector> constraints_; + std::unordered_map constraints_; std::unordered_set available_controllers_; std::unordered_set enabled_controllers_; bool operator==(const FakeCgroup &other) const { @@ -39,31 +39,83 @@ struct FakeCgroup { enabled_controllers_ == other.enabled_controllers_; } }; + +struct FakeConstraint { + std::string cgroup_; + std::string name_; +}; + +struct FakeController { + std::string cgroup_; + std::string name_; +}; + +struct FakeMoveProcesses { + std::string from_; + std::string to_; +}; + +// Intended to be used only in unit tests. This class is not thread-safe. class FakeCgroupDriver : public CgroupDriverInterface { public: - explicit FakeCgroupDriver( - std::shared_ptr> cgroups) - : cgroups_(cgroups) {} - - explicit FakeCgroupDriver(std::string base_cgroup) - : cgroups_(std::make_shared>()) { - RAY_LOG(INFO) << "FakeCgroupDriver(std::string base_cgroup)"; - cgroups_->emplace(base_cgroup, FakeCgroup{base_cgroup}); - } - FakeCgroupDriver(std::string base_cgroup, - std::vector processes_in_base_cgroup, - std::unordered_set available_controllers) - : cgroups_(std::make_shared>()) { - cgroups_->emplace(base_cgroup, - FakeCgroup{base_cgroup, - std::move(processes_in_base_cgroup), - {}, - std::move(available_controllers), - {}}); + static std::unique_ptr Create( + std::shared_ptr> cgroups = nullptr, + std::shared_ptr>> deleted_cgroups = nullptr, + std::shared_ptr>> constraints_disabled = + nullptr, + std::shared_ptr>> controllers_disabled = + nullptr, + std::shared_ptr>> processes_moved = + nullptr) { + if (!cgroups) { + cgroups = std::make_shared>(); + } + if (!deleted_cgroups) { + deleted_cgroups = std::make_shared>>(); + } + if (!constraints_disabled) { + constraints_disabled = + std::make_shared>>(); + } + if (!controllers_disabled) { + controllers_disabled = + std::make_shared>>(); + } + if (!processes_moved) { + processes_moved = + std::make_shared>>(); + } + return std::unique_ptr(new FakeCgroupDriver(cgroups, + deleted_cgroups, + constraints_disabled, + controllers_disabled, + processes_moved)); } + FakeCgroupDriver( + std::shared_ptr> cgroups, + std::shared_ptr>> deleted_cgroups, + std::shared_ptr>> constraints_disabled, + std::shared_ptr>> controllers_disabled, + std::shared_ptr>> processes_moved) + : cgroups_(cgroups), + deleted_cgroups_(deleted_cgroups), + constraints_disabled_(constraints_disabled), + controllers_disabled_(controllers_disabled), + processes_moved_(processes_moved) {} + std::shared_ptr> cgroups_; + // Cgroup cleanup order can be recorded by setting cleanup_mode_ to true. + bool cleanup_mode_ = false; + // cleanup_counter_ is incremented with each cleanup operation to capture + // the order of operations. + int cleanup_counter_ = 0; + std::shared_ptr>> deleted_cgroups_; + std::shared_ptr>> constraints_disabled_; + std::shared_ptr>> controllers_disabled_; + std::shared_ptr>> processes_moved_; + Status check_cgroup_enabled_s_ = Status::OK(); Status check_cgroup_s_ = Status::OK(); Status create_cgroup_s_ = Status::OK(); @@ -95,6 +147,9 @@ class FakeCgroupDriver : public CgroupDriverInterface { return delete_cgroup_s_; } cgroups_->erase(cgroup); + if (cleanup_mode_) { + deleted_cgroups_->emplace_back(std::make_pair(++cleanup_counter_, cgroup)); + } return delete_cgroup_s_; } @@ -108,6 +163,10 @@ class FakeCgroupDriver : public CgroupDriverInterface { to_cgroup.processes_.emplace_back(from_cgroup.processes_.back()); from_cgroup.processes_.pop_back(); } + if (cleanup_mode_) { + processes_moved_->emplace_back( + std::make_pair(++cleanup_counter_, FakeMoveProcesses{from, to})); + } return move_all_processes_s_; } @@ -125,6 +184,10 @@ class FakeCgroupDriver : public CgroupDriverInterface { if (!disable_controller_s_.ok()) { return disable_controller_s_; } + if (cleanup_mode_) { + controllers_disabled_->emplace_back( + std::make_pair(++cleanup_counter_, FakeController{cgroup, controller})); + } (*cgroups_)[cgroup].enabled_controllers_.erase(controller); return disable_controller_s_; } @@ -136,7 +199,11 @@ class FakeCgroupDriver : public CgroupDriverInterface { if (!add_constraint_s_.ok()) { return add_constraint_s_; } - (*cgroups_)[cgroup].constraints_.emplace_back(constraint, value); + (*cgroups_)[cgroup].constraints_.emplace(constraint, value); + if (cleanup_mode_) { + constraints_disabled_->emplace_back( + std::make_pair(++cleanup_counter_, FakeConstraint{cgroup, constraint})); + } return add_constraint_s_; } diff --git a/src/ray/common/cgroup2/noop_cgroup_manager.cc b/src/ray/common/cgroup2/noop_cgroup_manager.cc new file mode 100644 index 000000000000..1accae4827df --- /dev/null +++ b/src/ray/common/cgroup2/noop_cgroup_manager.cc @@ -0,0 +1,39 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#include +#include +#include + +#include "ray/common/cgroup2/cgroup_driver_interface.h" +#include "ray/common/cgroup2/cgroup_manager.h" +#include "ray/common/status_or.h" + +namespace ray { + +CgroupManager::CgroupManager(std::string base_cgroup_path, + const std::string &node_id, + std::unique_ptr cgroup_driver) {} + +CgroupManager::~CgroupManager() {} + +StatusOr> CgroupManager::Create( + std::string base_cgroup_path, + const std::string &node_id, + const int64_t system_reserved_cpu_weight, + const int64_t system_reserved_memory_bytes, + std::unique_ptr cgroup_driver) { + return std::unique_ptr( + new CgroupManager(base_cgroup_path, node_id, std::move(cgroup_driver))); +} +} // namespace ray diff --git a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc index 1c7f5e154013..aa83dfa64828 100644 --- a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc +++ b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc @@ -29,14 +29,12 @@ TEST(CgroupManagerTest, CreateReturnsInvalidIfCgroupv2NotAvailable) { std::make_shared>(); cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); FakeCgroup base_cgroup{"/sys/fs/cgroup"}; - FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + driver->check_cgroup_enabled_s_ = Status::Invalid(""); - auto cgroup_manager_s = - CgroupManager::Create("/sys/fs/cgroup/ray", - "node_id_123", - 100, - 1000000, - std::unique_ptr(driver)); + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup/ray", "node_id_123", 100, 1000000, std::move(driver)); ASSERT_TRUE(cgroup_manager_s.IsInvalid()) << cgroup_manager_s.ToString(); // No visible side-effects ASSERT_EQ(cgroups->size(), 1); @@ -46,14 +44,10 @@ TEST(CgroupManagerTest, CreateReturnsInvalidIfCgroupv2NotAvailable) { TEST(CgroupManagerTest, CreateReturnsNotFoundIfBaseCgroupDoesNotExist) { std::shared_ptr> cgroups = std::make_shared>(); - FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); driver->check_cgroup_s_ = Status::NotFound(""); - auto cgroup_manager_s = - CgroupManager::Create("/sys/fs/cgroup/ray", - "node_id_123", - 100, - 1000000, - std::unique_ptr(driver)); + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup/ray", "node_id_123", 100, 1000000, std::move(driver)); ASSERT_TRUE(cgroup_manager_s.IsNotFound()) << cgroup_manager_s.ToString(); // No visible side-effects ASSERT_EQ(cgroups->size(), 0); @@ -65,14 +59,10 @@ TEST(CgroupManagerTest, std::make_shared>(); cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); FakeCgroup base_cgroup{"/sys/fs/cgroup"}; - FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); driver->check_cgroup_s_ = Status::PermissionDenied(""); - auto cgroup_manager_s = - CgroupManager::Create("/sys/fs/cgroup/ray", - "node_id_123", - 100, - 1000000, - std::unique_ptr(driver)); + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup/ray", "node_id_123", 100, 1000000, std::move(driver)); ASSERT_TRUE(cgroup_manager_s.IsPermissionDenied()) << cgroup_manager_s.ToString(); // No visible side-effects ASSERT_EQ(cgroups->size(), 1); @@ -82,20 +72,205 @@ TEST(CgroupManagerTest, TEST(CgroupManagerTest, CreateReturnsInvalidIfSupportedControllersAreNotAvailable) { std::shared_ptr> cgroups = std::make_shared>(); - // By default no controllers are available. cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); FakeCgroup base_cgroup{"/sys/fs/cgroup"}; - FakeCgroupDriver *driver = new FakeCgroupDriver(cgroups); - auto cgroup_manager_s = - CgroupManager::Create("/sys/fs/cgroup", - "node_id_123", - 100, - 1000000, - std::unique_ptr(driver)); + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup", "node_id_123", 100, 1000000, std::move(driver)); ASSERT_TRUE(cgroup_manager_s.IsInvalid()) << cgroup_manager_s.ToString(); // No visible side-effects ASSERT_EQ(cgroups->size(), 1); ASSERT_EQ(cgroups->begin()->second, base_cgroup); } +TEST(CgroupManagerTest, CreateReturnsInvalidArgumentIfConstraintValuesOutOfBounds) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", FakeCgroup{"/sys/fs/cgroup"}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + auto cgroup_manager_s = + CgroupManager::Create("/sys/fs/cgroup", "node_id_123", -1, -1, std::move(driver)); + ASSERT_TRUE(cgroup_manager_s.IsInvalidArgument()) << cgroup_manager_s.ToString(); + // No visible side-effects + ASSERT_EQ(cgroups->size(), 1); + ASSERT_EQ(cgroups->begin()->second, base_cgroup); +} + +TEST(CgroupManagerTest, CreateSucceedsWithCleanupInOrder) { + std::shared_ptr> cgroups = + std::make_shared>(); + + cgroups->emplace("/sys/fs/cgroup", + FakeCgroup{"/sys/fs/cgroup", {5}, {}, {"cpu", "memory"}, {}}); + + auto deleted_cgroups = std::make_shared>>(); + auto constraints_disabled = + std::make_shared>>(); + auto controllers_disabled = + std::make_shared>>(); + auto processes_moved = + std::make_shared>>(); + + std::unique_ptr owned_driver = + FakeCgroupDriver::Create(cgroups, + deleted_cgroups, + constraints_disabled, + controllers_disabled, + processes_moved); + + FakeCgroupDriver *driver = owned_driver.get(); + + // node, system, and application cgroups were created in the fake + std::string node_id = "id_123"; + std::string base_cgroup_path = "/sys/fs/cgroup"; + std::string node_cgroup_path = "/sys/fs/cgroup/ray_node_id_123"; + std::string system_cgroup_path = "/sys/fs/cgroup/ray_node_id_123/system"; + std::string application_cgroup_path = "/sys/fs/cgroup/ray_node_id_123/application"; + int64_t system_reserved_cpu_weight = 1000; + int64_t system_reserved_memory_bytes = 1024 * 1024 * 1024; + + auto cgroup_manager_s = CgroupManager::Create(base_cgroup_path, + node_id, + system_reserved_cpu_weight, + system_reserved_memory_bytes, + std::move(owned_driver)); + + // The cgroup hierarchy was created correctly. + ASSERT_EQ(cgroups->size(), 4); + ASSERT_NE(cgroups->find(base_cgroup_path), cgroups->end()); + ASSERT_NE(cgroups->find(node_cgroup_path), cgroups->end()); + ASSERT_NE(cgroups->find(system_cgroup_path), cgroups->end()); + ASSERT_NE(cgroups->find(application_cgroup_path), cgroups->end()); + + std::array created_cgroups{&cgroups->at(base_cgroup_path), + &cgroups->at(node_cgroup_path), + &cgroups->at(system_cgroup_path), + &cgroups->at(application_cgroup_path)}; + + // Controllers are enabled on base, node, application, and system cgroups. + for (const FakeCgroup *cg : created_cgroups) { + ASSERT_EQ(cg->enabled_controllers_.size(), 2); + ASSERT_NE(cg->enabled_controllers_.find("cpu"), cg->enabled_controllers_.end()); + ASSERT_NE(cg->enabled_controllers_.find("memory"), cg->enabled_controllers_.end()); + } + + // Processes were moved out of the base cgroup into the system cgroup. + const FakeCgroup &base_cgroup = cgroups->find(base_cgroup_path)->second; + const FakeCgroup &system_cgroup = cgroups->find(system_cgroup_path)->second; + ASSERT_TRUE(base_cgroup.processes_.empty()); + ASSERT_EQ(system_cgroup.processes_.size(), 1); + + // Check to see that the memory and cpu constraints were enabled correctly + // for the system and application cgroups. + ASSERT_EQ(system_cgroup.constraints_.size(), 2); + ASSERT_NE(system_cgroup.constraints_.find("cpu.weight"), + system_cgroup.constraints_.end()); + ASSERT_EQ(system_cgroup.constraints_.at("cpu.weight"), + std::to_string(system_reserved_cpu_weight)); + ASSERT_EQ(system_cgroup.constraints_.at("memory.min"), + std::to_string(system_reserved_memory_bytes)); + + const FakeCgroup &app_cgroup = cgroups->find(application_cgroup_path)->second; + ASSERT_EQ(app_cgroup.constraints_.size(), 1); + ASSERT_NE(app_cgroup.constraints_.find("cpu.weight"), app_cgroup.constraints_.end()); + ASSERT_EQ(app_cgroup.constraints_.at("cpu.weight"), + std::to_string(10000 - system_reserved_cpu_weight)); + + // Switching the mode of the FakeCgroupDriver to cleanup to record cleanup + // operations + driver->cleanup_mode_ = true; + // Destroying the cgroup manager triggers automatic cleanup. + std::unique_ptr cgroup_manager = std::move(cgroup_manager_s.value()); + cgroup_manager.reset(); + + // Only the base cgroup is left after the cgroup_manager is destroyed. + ASSERT_EQ(cgroups->size(), 1); + ASSERT_NE(cgroups->find(base_cgroup_path), cgroups->end()); + + // Since the order of operation matters during cleanup for cgroups, we're going + // to have to check the fake for side-effects extensively: + // + // Constraints have to be disabled before controllers are disabled. + ASSERT_EQ(constraints_disabled->size(), 3); + // Since constraints were only enabled on leaf nodes, the order does not matter. + ASSERT_EQ( + std::count_if(constraints_disabled->begin(), + constraints_disabled->end(), + [&system_cgroup_path](const std::pair &item) { + return item.second.cgroup_ == system_cgroup_path && + item.second.name_ == "cpu.weight"; + }), + 1); + ASSERT_EQ( + std::count_if(constraints_disabled->begin(), + constraints_disabled->end(), + [&system_cgroup_path](const std::pair &item) { + return item.second.cgroup_ == system_cgroup_path && + item.second.name_ == "memory.min"; + }), + 1); + ASSERT_EQ(std::count_if( + constraints_disabled->begin(), + constraints_disabled->end(), + [&application_cgroup_path](const std::pair &item) { + return item.second.cgroup_ == application_cgroup_path && + item.second.name_ == "cpu.weight"; + }), + 1); + + // Controllers were disabled second. + ASSERT_EQ(controllers_disabled->size(), 8); + // Controllers must be disabled after the constraints are removed. + ASSERT_LT(constraints_disabled->back().first, controllers_disabled->front().first); + // Check to see controllers are disabled on all cgroups from the leaves to + // the root. + ASSERT_EQ((*controllers_disabled)[0].second.cgroup_, application_cgroup_path); + ASSERT_EQ((*controllers_disabled)[1].second.cgroup_, system_cgroup_path); + ASSERT_EQ((*controllers_disabled)[2].second.cgroup_, node_cgroup_path); + ASSERT_EQ((*controllers_disabled)[3].second.cgroup_, base_cgroup_path); + ASSERT_EQ((*controllers_disabled)[4].second.cgroup_, application_cgroup_path); + ASSERT_EQ((*controllers_disabled)[5].second.cgroup_, system_cgroup_path); + ASSERT_EQ((*controllers_disabled)[6].second.cgroup_, node_cgroup_path); + ASSERT_EQ((*controllers_disabled)[7].second.cgroup_, base_cgroup_path); + + // The memory and cpu controller are both disabled for each cgroup + std::array cgroup_names{ + base_cgroup_path, + node_cgroup_path, + system_cgroup_path, + application_cgroup_path, + }; + + for (const auto &cgroup_name : cgroup_names) { + ASSERT_EQ(std::count_if(controllers_disabled->begin(), + controllers_disabled->end(), + [&cgroup_name](const std::pair &item) { + return item.second.cgroup_ == cgroup_name && + item.second.name_ == "cpu"; + }), + 1); + ASSERT_EQ(std::count_if(controllers_disabled->begin(), + controllers_disabled->end(), + [&cgroup_name](const std::pair &item) { + return item.second.cgroup_ == cgroup_name && + item.second.name_ == "memory"; + }), + 1); + } + + // Processes were moved third. + ASSERT_EQ(processes_moved->size(), 1); + ASSERT_EQ((*processes_moved)[0].second.from_, system_cgroup_path); + ASSERT_EQ((*processes_moved)[0].second.to_, base_cgroup_path); + ASSERT_LT(constraints_disabled->back().first, processes_moved->front().first); + + // Cgroups were deleted last and in reverse order i.e. application, system, node. + ASSERT_EQ(deleted_cgroups->size(), 3); + ASSERT_LT(processes_moved->back().first, deleted_cgroups->front().first); + ASSERT_EQ((*deleted_cgroups)[0].second, application_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[1].second, system_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[2].second, node_cgroup_path); +} + } // namespace ray diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index c91cc81a3a2e..3f9b72f48b7d 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -106,8 +106,7 @@ struct CoreWorkerOptions { entrypoint(""), worker_launch_time_ms(-1), worker_launched_time_ms(-1), - debug_source(""), - enable_resource_isolation(false) {} + debug_source("") {} /// Type of this worker (i.e., DRIVER or WORKER). WorkerType worker_type; @@ -211,10 +210,6 @@ struct CoreWorkerOptions { // Source information for `CoreWorker`, used for debugging and informational purpose, // rather than functional purpose. std::string debug_source; - - // If true, core worker enables resource isolation through cgroupv2 by reserving - // resources for ray system processes. - bool enable_resource_isolation = false; }; } // namespace core } // namespace ray diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index b8c751b578b6..ab7db114366c 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -144,13 +144,6 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( options.worker_type, worker_id, GetProcessJobID(options)); auto pid = getpid(); - // Move worker process into cgroup on startup. - AppProcCgroupMetadata app_cgroup_metadata; - app_cgroup_metadata.pid = pid; - app_cgroup_metadata.max_memory = kUnlimitedCgroupMemory; - GetCgroupSetup(options.enable_resource_isolation) - .ApplyCgroupContext(app_cgroup_metadata); - RAY_LOG(DEBUG) << "Creating core worker with debug source: " << options.debug_source; RAY_LOG(DEBUG).WithField(worker_id) << "Constructing CoreWorker"; diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 0625c5fba1d9..c617eb84fc47 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -283,7 +283,8 @@ ray_cc_binary( "//src/ray/common:lease", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/common/cgroup:cgroup_manager", + "//src/ray/common/cgroup2:cgroup_manager", + "//src/ray/common/cgroup2:sysfs_cgroup_driver", "//src/ray/core_worker:metrics", "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/object_manager:ownership_object_directory", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index a440a64e6e79..5cb7cd35975a 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -24,12 +24,14 @@ #include "gflags/gflags.h" #include "nlohmann/json.hpp" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/cgroup/cgroup_manager.h" +#include "ray/common/cgroup2/cgroup_manager.h" +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" #include "ray/common/constants.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" #include "ray/common/ray_config.h" #include "ray/common/status.h" +#include "ray/common/status_or.h" #include "ray/core_worker/metrics.h" #include "ray/gcs/gcs_client/gcs_client.h" #include "ray/object_manager/ownership_object_directory.h" @@ -98,12 +100,6 @@ DEFINE_int64(object_store_memory, -1, "The initial memory of the object store.") DEFINE_string(node_name, "", "The user-provided identifier or name for this node."); DEFINE_string(session_name, "", "The current Ray session name."); DEFINE_string(cluster_id, "", "ID of the cluster, separate from observability."); -// TODO(hjiang): At the moment only enablement flag is added, I will add other flags for -// CPU and memory resource reservation in the followup PR. -DEFINE_bool(enable_resource_isolation, - false, - "Enable resource isolation through cgroupv2 by reserving resources for ray " - "system processes."); #ifdef __linux__ DEFINE_string(plasma_directory, @@ -119,6 +115,30 @@ DEFINE_bool(huge_pages, false, "Enable huge pages."); DEFINE_string(labels, "", "Define the key-value format of node labels, which is a serialized JSON."); +DEFINE_bool( + enable_resource_isolation, + false, + "Enables resource isolation through cgroupv2. The raylet will create and " + "manage a cgroup hierarchy that separates system processes and worker processes " + "into separate cgroups."); +DEFINE_string( + cgroup_path, + "", + "Path of the cgroup that the raylet will take ownership of to create its cgorup " + "hierarchy. The raylet process must have read, write, and execute permission for " + "this path. If enable_resource_isolation is true, then this cannot be empty."); +DEFINE_int64( + system_reserved_cpu_weight, + -1, + "The amount of cores reserved for ray system processes. It will be applied " + "as a cpu.weight constraint to the system cgroup. 10000 - " + "system_reserved_cpu_weight will be applied as a constraint to the " + "application cgroup. If enable resource isolation is true, then this cannot be -1."); +DEFINE_int64(system_reserved_memory_bytes, + -1, + "The amount of memory in bytes reserved for ray system processes. It will " + "be applied as a memory.min constraint to the sytem cgroup. If enable " + "resource isolation is true, then this cannot be -1"); absl::flat_hash_map parse_node_labels( const std::string &labels_json_str) { @@ -226,18 +246,50 @@ int main(int argc, char *argv[]) { const std::string session_name = FLAGS_session_name; const bool is_head_node = FLAGS_head; const std::string labels_json_str = FLAGS_labels; + const bool enable_resource_isolation = FLAGS_enable_resource_isolation; + const std::string cgroup_path = FLAGS_cgroup_path; + const int64_t system_reserved_cpu_weight = FLAGS_system_reserved_cpu_weight; + const int64_t system_reserved_memory_bytes = FLAGS_system_reserved_memory_bytes; RAY_CHECK_NE(FLAGS_cluster_id, "") << "Expected cluster ID."; ray::ClusterID cluster_id = ray::ClusterID::FromHex(FLAGS_cluster_id); RAY_LOG(INFO) << "Setting cluster ID to: " << cluster_id; gflags::ShutDownCommandLineFlags(); - // Get cgroup setup instance and perform necessary resource setup. - ray::GetCgroupSetup(FLAGS_enable_resource_isolation); + // TODO(#54703): Link OSS documentation once it's available in the error messages. + if (enable_resource_isolation) { + RAY_CHECK(!cgroup_path.empty()) + << "Failed to start up raylet. If enable_resource_isolation is set to true, " + "cgroup_path cannot be empty."; + RAY_CHECK_NE(system_reserved_cpu_weight, -1) + << "Failed to start up raylet. If enable_resource_isolation is set to true, " + "system_reserved_cpu_weight must be set to a value between [1,10000]"; + RAY_CHECK_NE(system_reserved_memory_bytes, -1) + << "Failed to start up raylet. If enable_resource_isolation is set to true, " + "system_reserved_memory_byres must be set to a value > 0"; + + std::unique_ptr cgroup_driver; + ray::StatusOr> cgroup_manager = + ray::CgroupManager::Create(std::move(cgroup_path), + node_id, + system_reserved_cpu_weight, + system_reserved_memory_bytes, + std::move(cgroup_driver)); + + // TODO(#54703) - Link to OSS documentation once available. + RAY_CHECK(cgroup_manager.ok()) + << "Failed to start raylet. Could not create CgroupManager because of " + << cgroup_manager.ToString(); + +#ifndef __linux__ + RAY_LOG(WARNING) + << "Resource isolation with cgroups is only supported in linux. Please set " + "enable_resource_isolation to false. This is likely a misconfiguration."; +#endif + } // Configuration for the node manager. ray::raylet::NodeManagerConfig node_manager_config; - node_manager_config.enable_resource_isolation = FLAGS_enable_resource_isolation; absl::flat_hash_map static_resource_conf; @@ -561,8 +613,7 @@ int main(int argc, char *argv[]) { /*starting_worker_timeout_callback=*/ [&] { cluster_lease_manager->ScheduleAndGrantLeases(); }, node_manager_config.ray_debugger_external, - /*get_time=*/[]() { return absl::Now(); }, - node_manager_config.enable_resource_isolation); + /*get_time=*/[]() { return absl::Now(); }); client_call_manager = std::make_unique( main_service, /*record_stats=*/true); diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index da0b2182d200..38665194bd8b 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -115,9 +115,6 @@ struct NodeManagerConfig { int max_io_workers; // The key-value labels of this node. absl::flat_hash_map labels; - // If true, core worker enables resource isolation by adding itself into appropriate - // cgroup. - bool enable_resource_isolation = false; }; class NodeManager : public rpc::NodeManagerServiceHandler, diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index 41c275d8ba5f..a75cee7603ca 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -153,8 +153,7 @@ class WorkerPoolMock : public WorkerPool { "", []() {}, 0, - [this]() { return absl::FromUnixMillis(current_time_ms_); }, - /*enable_resource_isolation=*/false), + [this]() { return absl::FromUnixMillis(current_time_ms_); }), last_worker_process_(), instrumented_io_service_(io_service), client_call_manager_(instrumented_io_service_, false), diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index f20274fbb5b8..32c6d7530e45 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -101,8 +101,7 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, std::string native_library_path, std::function starting_worker_timeout_callback, int ray_debugger_external, - std::function get_time, - bool enable_resource_isolation) + std::function get_time) : worker_startup_token_counter_(0), io_service_(&io_service), node_id_(node_id), @@ -123,8 +122,7 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, std::min(num_prestarted_python_workers, maximum_startup_concurrency_)), num_prestart_python_workers(num_prestarted_python_workers), periodical_runner_(PeriodicalRunner::Create(io_service)), - get_time_(std::move(get_time)), - enable_resource_isolation_(enable_resource_isolation) { + get_time_(std::move(get_time)) { RAY_CHECK_GT(maximum_startup_concurrency_, 0); // We need to record so that the metric exists. This way, we report that 0 // processes have started before a task runs on the node (as opposed to the @@ -443,12 +441,6 @@ WorkerPool::BuildProcessCommandArgs(const Language &language, serialized_preload_python_modules); } - // Pass resource isolation flag to python worker. - if (language == Language::PYTHON && worker_type == rpc::WorkerType::WORKER) { - worker_command_args.emplace_back(absl::StrFormat( - "--enable-resource-isolation=%s", enable_resource_isolation_ ? "true" : "false")); - } - // We use setproctitle to change python worker process title, // causing the process's /proc/PID/environ being empty. // Add `SPT_NOENV` env to prevent setproctitle breaking /proc/PID/environ. diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 30cdb2dc82d7..1d6e43a23497 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -304,7 +304,6 @@ class WorkerPool : public WorkerPoolInterface { /// \param ray_debugger_external Ray debugger in workers will be started in a way /// that they are accessible from outside the node. /// \param get_time A callback to get the current time in milliseconds. - /// \param enable_resource_isolation If true, core worker enables resource isolation by /// adding itself into appropriate cgroup. WorkerPool(instrumented_io_context &io_service, const NodeID &node_id, @@ -320,8 +319,7 @@ class WorkerPool : public WorkerPoolInterface { std::string native_library_path, std::function starting_worker_timeout_callback, int ray_debugger_external, - std::function get_time, - bool enable_resource_isolation); + std::function get_time); /// Destructor responsible for freeing a set of workers owned by this class. ~WorkerPool() override; @@ -912,10 +910,6 @@ class WorkerPool : public WorkerPoolInterface { int64_t process_failed_pending_registration_ = 0; int64_t process_failed_runtime_env_setup_failed_ = 0; - // If true, core worker enables resource isolation by adding itself into appropriate - // cgroup after it is created. - bool enable_resource_isolation_ = false; - /// Ray metrics ray::stats::Sum ray_metric_num_workers_started_{ /*name=*/"internal_num_processes_started", From a30c457273b9ab717e3070be80b51bf25af1a7ce Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Thu, 11 Sep 2025 15:38:40 -0700 Subject: [PATCH 1173/1566] [release] Change back to g4dn.12x for 4 GPU (#56469) 1. previously when I cleaning up the legacy g3 test, accidentally changed it https://github.com/ray-project/ray/pull/56175 to became g4dn.8xlarge machine which only has 1 GPU per host, this is to change it back. ## Why are these changes needed? ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml b/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml index 897fb4ed728e..e56edf8bbf28 100644 --- a/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml +++ b/release/air_tests/air_benchmarks/compute_gpu_4x4_aws.yaml @@ -5,11 +5,11 @@ max_workers: 3 head_node_type: name: head_node - instance_type: g4dn.8xlarge + instance_type: g4dn.12xlarge worker_node_types: - name: worker_node - instance_type: g4dn.8xlarge + instance_type: g4dn.12xlarge max_workers: 3 min_workers: 3 use_spot: false From 75cf1cce38234ce8b86ec016d9994e5db687dd2b Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Thu, 11 Sep 2025 16:21:23 -0700 Subject: [PATCH 1174/1566] [data] Download op fusion / removal of interleaved partitioners (#56462) ## Why are these changes needed? If we have multiple chained downloads e.g. `ds.with_column("bytes_1", download("uri_1")).with_column("bytes_2", download("uri_2")).with_column("bytes_3", download("uri_3"))`, then we would have an operator structure like `URIPartitioner->URIDownloader->URIPartitioner->URIDownloader->URIPartitioner->URIDownloader`. Each of the `URIPartitioner` operators will be implemented with an ActorPoolMapOperator with concurrency of 1. In these chained downloads, these become bottlenecks and scaling the concurrency of these up will result in additional resource usage that will take resources away from other operators. This solves the problem by deferring some of the partitioning to the `URIDownloader` so we can remove the interleaved partitioners. The result is an operator structure like `URIPartitioner->URIDownloader->URIDownloader->URIDownloader` which delivers much better performance for these cases. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- .../_internal/planner/plan_download_op.py | 100 +++++++++++------- .../data/tests/test_download_expression.py | 50 +++++++++ 2 files changed, 114 insertions(+), 36 deletions(-) diff --git a/python/ray/data/_internal/planner/plan_download_op.py b/python/ray/data/_internal/planner/plan_download_op.py index 2e2756b6a886..279e90ab9470 100644 --- a/python/ray/data/_internal/planner/plan_download_op.py +++ b/python/ray/data/_internal/planner/plan_download_op.py @@ -1,7 +1,7 @@ import logging import math from concurrent.futures import ThreadPoolExecutor, as_completed -from typing import List +from typing import Iterator, List from urllib.parse import urlparse import pyarrow as pa @@ -33,6 +33,13 @@ def plan_download_op( """Plan the download operation with partitioning and downloading stages.""" assert len(physical_children) == 1 input_physical_dag = physical_children[0] + + upstream_op_is_download = False + if len(input_physical_dag._logical_operators) == 1 and isinstance( + input_physical_dag._logical_operators[0], Download + ): + upstream_op_is_download = True + uri_column_name = op.uri_column_name output_bytes_column_name = op.output_bytes_column_name ray_remote_args = op.ray_remote_args @@ -43,23 +50,33 @@ def plan_download_op( _get_udf, ) - # PartitionActor is a callable class, so we need ActorPoolStrategy - partition_compute = ActorPoolStrategy(size=1) # Use single actor for partitioning - - fn, init_fn = _get_udf(PartitionActor, (), {}, (uri_column_name, data_context), {}) - block_fn = _generate_transform_fn_for_map_batches(fn) - partition_transform_fns = [ - BlockMapTransformFn(block_fn), - ] - partition_map_transformer = MapTransformer(partition_transform_fns, init_fn) - partition_map_operator = MapOperator.create( - partition_map_transformer, - input_physical_dag, - data_context, - name="URIPartitioner", - compute_strategy=partition_compute, # Use actor-based compute for callable class - ray_remote_args=ray_remote_args, - ) + # If we have multiple download operators in a row, we should only include the partition actor + # at the start of the chain. This is primarily done to prevent partition actors from bottlenecking + # the chain becuase the interleaved operators would be a single actor. As a result, the + # URIDownloader physical operator is responsible for outputting appropriately sized blocks. + partition_map_operator = None + if not upstream_op_is_download: + # PartitionActor is a callable class, so we need ActorPoolStrategy + partition_compute = ActorPoolStrategy( + size=1 + ) # Use single actor for partitioning + + fn, init_fn = _get_udf( + PartitionActor, (), {}, (uri_column_name, data_context), {} + ) + block_fn = _generate_transform_fn_for_map_batches(fn) + partition_transform_fns = [ + BlockMapTransformFn(block_fn), + ] + partition_map_transformer = MapTransformer(partition_transform_fns, init_fn) + partition_map_operator = MapOperator.create( + partition_map_transformer, + input_physical_dag, + data_context, + name="URIPartitioner", + compute_strategy=partition_compute, # Use actor-based compute for callable class + ray_remote_args=ray_remote_args, + ) fn, init_fn = _get_udf( download_bytes_threaded, @@ -76,7 +93,7 @@ def plan_download_op( download_compute = TaskPoolStrategy() download_map_operator = MapOperator.create( download_map_transformer, - partition_map_operator, + partition_map_operator if partition_map_operator else input_physical_dag, data_context, name="URIDownloader", compute_strategy=download_compute, @@ -95,12 +112,22 @@ def uri_to_path(uri: str) -> str: return parsed.netloc + parsed.path +def _arrow_batcher(table: pa.Table, output_batch_size: int): + """Batch a PyArrow table into smaller tables of size n using zero-copy slicing.""" + num_rows = table.num_rows + for i in range(0, num_rows, output_batch_size): + end_idx = min(i + output_batch_size, num_rows) + # Use PyArrow's zero-copy slice operation + batch_table = table.slice(i, end_idx - i) + yield batch_table + + def download_bytes_threaded( - block, - uri_column_name, + block: pa.Table, + uri_column_name: str, output_bytes_column_name, data_context: DataContext, -): +) -> Iterator[pa.Table]: """Optimized version that uses make_async_gen for concurrent downloads.""" if not isinstance(block, pa.Table): block = BlockAccessor.for_block(block).to_arrow() @@ -109,7 +136,8 @@ def download_bytes_threaded( uris = block.column(uri_column_name).to_pylist() if len(uris) == 0: - return block + yield block + return paths, fs = _resolve_paths_and_filesystem(uris) fs = RetryingPyFileSystem.wrap(fs, retryable_errors=data_context.retried_io_errors) @@ -132,9 +160,18 @@ def load_uri_bytes(uri_path_iterator): ) # Add the new column to the PyArrow table - return block.add_column( + output_block = block.add_column( len(block.column_names), output_bytes_column_name, pa.array(uri_bytes) ) + output_block_size = output_block.nbytes + ctx = ray.data.context.DatasetContext.get_current() + max_bytes = ctx.target_max_block_size + if max_bytes is not None and output_block_size > max_bytes: + num_blocks = math.ceil(output_block_size / max_bytes) + num_rows = output_block.num_rows + yield from _arrow_batcher(output_block, int(math.ceil(num_rows / num_blocks))) + else: + yield output_block class PartitionActor: @@ -147,7 +184,7 @@ def __init__(self, uri_column_name: str, data_context: DataContext): self._data_context = data_context self._batch_size_estimate = None - def _sample_sizes(self, uris): + def _sample_sizes(self, uris: List[str]) -> List[int]: """Fetch file sizes in parallel using ThreadPoolExecutor.""" def get_file_size(uri_path, fs): @@ -185,16 +222,7 @@ def get_file_size(uri_path, fs): return file_sizes - def _arrow_batcher(self, table, n): - """Batch a PyArrow table into smaller tables of size n using zero-copy slicing.""" - num_rows = table.num_rows - for i in range(0, num_rows, n): - end_idx = min(i + n, num_rows) - # Use PyArrow's zero-copy slice operation - batch_table = table.slice(i, end_idx - i) - yield batch_table - - def __call__(self, block): + def __call__(self, block: pa.Table) -> Iterator[pa.Table]: if not isinstance(block, pa.Table): block = BlockAccessor.for_block(block).to_arrow() @@ -216,4 +244,4 @@ def __call__(self, block): max_bytes = ctx.target_max_block_size self._batch_size_estimate = math.floor(max_bytes / file_size_estimate) - yield from self._arrow_batcher(block, self._batch_size_estimate) + yield from _arrow_batcher(block, self._batch_size_estimate) diff --git a/python/ray/data/tests/test_download_expression.py b/python/ray/data/tests/test_download_expression.py index 53aa28318cd4..2c593190de11 100644 --- a/python/ray/data/tests/test_download_expression.py +++ b/python/ray/data/tests/test_download_expression.py @@ -154,6 +154,56 @@ def test_download_expression_with_different_file_types(self, tmp_path): assert downloaded_image.size == (8, 8) assert downloaded_image.mode == "RGB" + def test_chained_download_expressions(self, tmp_path): + """Test chained download expressions functionality.""" + # Create sample files with different content + sample_data = [ + b"Content for file 1", + b"Content for file 2", + b"Content for file 3", + ] + + file_paths = [] + for i, data in enumerate(sample_data): + file_path = tmp_path / f"test_file_{i}.txt" + file_path.write_bytes(data) + file_paths.append(str(file_path)) + + # Create dataset with file URIs + table = pa.Table.from_arrays( + [ + pa.array([f"local://{path}" for path in file_paths]), + pa.array([f"id_{i}" for i in range(len(file_paths))]), + ], + names=["file_uri", "file_id"], + ) + + ds = ray.data.from_arrow(table) + + # Chain multiple download expressions from the same URI column + ds_with_chained_downloads = ( + ds.with_column("file_bytes_1", download("file_uri")) + .with_column("file_bytes_2", download("file_uri")) + .with_column("file_bytes_3", download("file_uri")) + ) + + # Verify results + results = ds_with_chained_downloads.take_all() + assert len(results) == len(sample_data) + + for i, result in enumerate(results): + # All download columns should have the same content + assert "file_bytes_1" in result + assert "file_bytes_2" in result + assert "file_bytes_3" in result + assert result["file_bytes_1"] == sample_data[i] + assert result["file_bytes_2"] == sample_data[i] + assert result["file_bytes_3"] == sample_data[i] + + # Original columns should be preserved + assert result["file_id"] == f"id_{i}" + assert result["file_uri"] == f"local://{file_paths[i]}" + class TestDownloadExpressionErrors: """Test error conditions and edge cases for download expressions.""" From eca6276e2e2f99bce666b6725db692d1c0b1e1b5 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 11 Sep 2025 16:55:22 -0700 Subject: [PATCH 1175/1566] [core] Fix HandleRefRemoved thread safety (#56445) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/core_worker/core_worker.cc | 12 ++---- src/ray/core_worker/reference_count.cc | 43 +++++++++++-------- src/ray/core_worker/reference_count.h | 34 +++++++-------- .../core_worker/tests/reference_count_test.cc | 5 +-- 4 files changed, 45 insertions(+), 49 deletions(-) diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index c8922e067f16..eee7cba66534 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -3796,24 +3796,20 @@ void CoreWorker::ProcessSubscribeForRefRemoved( const rpc::WorkerRefRemovedSubMessage &message) { const ObjectID &object_id = ObjectID::FromBinary(message.reference().object_id()); - // Set a callback to publish the message when the requested object ID's ref count - // goes to 0. - auto ref_removed_callback = - boost::bind(&ReferenceCounter::HandleRefRemoved, reference_counter_, object_id); - const auto intended_worker_id = WorkerID::FromBinary(message.intended_worker_id()); if (intended_worker_id != worker_context_->GetWorkerID()) { RAY_LOG(INFO) << "The ProcessSubscribeForRefRemoved message is for worker " << intended_worker_id << ", but the current worker is " << worker_context_->GetWorkerID() << ". The RPC will be no-op."; - ref_removed_callback(object_id); + reference_counter_->PublishRefRemoved(object_id); return; } const auto owner_address = message.reference().owner_address(); ObjectID contained_in_id = ObjectID::FromBinary(message.contained_in_id()); - reference_counter_->SetRefRemovedCallback( - object_id, contained_in_id, owner_address, ref_removed_callback); + // So it will call PublishRefRemovedInternal to publish a message when the requested + // object ID's ref count goes to 0. + reference_counter_->SubscribeRefRemoved(object_id, contained_in_id, owner_address); } void CoreWorker::HandleRemoteCancelTask(rpc::RemoteCancelTaskRequest request, diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 11c237904d2b..2f51b14467da 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -558,7 +558,7 @@ int64_t ReferenceCounter::ReleaseLineageReferences(ReferenceTable::iterator ref) OnObjectOutOfScopeOrFreed(arg_it); } if (arg_it->second.ShouldDelete(lineage_pinning_enabled_)) { - RAY_CHECK(arg_it->second.on_ref_removed == nullptr); + RAY_CHECK(!arg_it->second.publish_ref_removed); lineage_bytes_evicted += ReleaseLineageReferences(arg_it); EraseReference(arg_it); } @@ -683,10 +683,10 @@ void ReferenceCounter::DeleteReferenceInternal(ReferenceTable::iterator it, std::vector *deleted) { const ObjectID id = it->first; RAY_LOG(DEBUG) << "Attempting to delete object " << id; - if (it->second.RefCount() == 0 && it->second.on_ref_removed) { - RAY_LOG(DEBUG) << "Calling on_ref_removed for object " << id; - it->second.on_ref_removed(id); - it->second.on_ref_removed = nullptr; + if (it->second.RefCount() == 0 && it->second.publish_ref_removed) { + RAY_LOG(DEBUG) << "Calling PublishRefRemoved for object " << id; + PublishRefRemovedInternal(id); + it->second.publish_ref_removed = false; } PRINT_REF_COUNT(it); @@ -1253,8 +1253,13 @@ void ReferenceCounter::AddNestedObjectIdsInternal(const ObjectID &object_id, } } -void ReferenceCounter::HandleRefRemoved(const ObjectID &object_id) { - RAY_LOG(DEBUG).WithField(object_id) << "HandleRefRemoved "; +void ReferenceCounter::PublishRefRemoved(const ObjectID &object_id) { + absl::MutexLock lock(&mutex_); + PublishRefRemovedInternal(object_id); +} + +void ReferenceCounter::PublishRefRemovedInternal(const ObjectID &object_id) { + RAY_LOG(DEBUG).WithField(object_id) << "PublishRefRemoved "; auto it = object_id_refs_.find(object_id); if (it != object_id_refs_.end()) { PRINT_REF_COUNT(it); @@ -1284,11 +1289,9 @@ void ReferenceCounter::HandleRefRemoved(const ObjectID &object_id) { object_info_publisher_->Publish(std::move(pub_message)); } -void ReferenceCounter::SetRefRemovedCallback( - const ObjectID &object_id, - const ObjectID &contained_in_id, - const rpc::Address &owner_address, - const ReferenceCounter::ReferenceRemovedCallback &ref_removed_callback) { +void ReferenceCounter::SubscribeRefRemoved(const ObjectID &object_id, + const ObjectID &contained_in_id, + const rpc::Address &owner_address) { absl::MutexLock lock(&mutex_); RAY_LOG(DEBUG).WithField(object_id) << "Received WaitForRefRemoved object contained in " << contained_in_id; @@ -1298,6 +1301,8 @@ void ReferenceCounter::SetRefRemovedCallback( it = object_id_refs_.emplace(object_id, Reference()).first; } + auto &reference = it->second; + // If we are borrowing the ID because we own an object that contains it, then // add the outer object to the inner ID's ref count. We will not respond to // the owner of the inner ID until the outer object ID goes out of scope. @@ -1305,28 +1310,28 @@ void ReferenceCounter::SetRefRemovedCallback( AddNestedObjectIdsInternal(contained_in_id, {object_id}, rpc_address_); } - if (it->second.RefCount() == 0) { + if (reference.RefCount() == 0) { RAY_LOG(DEBUG).WithField(object_id) << "Ref count for borrowed object is already 0, responding to WaitForRefRemoved"; // We already stopped borrowing the object ID. Respond to the owner // immediately. - ref_removed_callback(object_id); + PublishRefRemovedInternal(object_id); DeleteReferenceInternal(it, nullptr); } else { // We are still borrowing the object ID. Respond to the owner once we have // stopped borrowing it. - if (it->second.on_ref_removed != nullptr) { + if (reference.publish_ref_removed) { // TODO(swang): If the owner of an object dies and and is re-executed, it // is possible that we will receive a duplicate request to set - // on_ref_removed. If messages are delayed and we overwrite the + // publish_ref_removed. If messages are delayed and we overwrite the // callback here, it's possible we will drop the request that was sent by // the more recent owner. We should fix this by setting multiple // callbacks or by versioning the owner requests. RAY_LOG(WARNING).WithField(object_id) - << "on_ref_removed already set for object. The owner task must have died and " - "been re-executed."; + << "publish_ref_removed already set for object. The owner task must have " + "died and been re-executed."; } - it->second.on_ref_removed = ref_removed_callback; + reference.publish_ref_removed = true; } } diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index d168f749e42f..75e8423ca86e 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -345,8 +345,8 @@ class ReferenceCounter : public ReferenceCounterInterface, const std::function callback) override ABSL_LOCKS_EXCLUDED(mutex_); - /// Set a callback for when we are no longer borrowing this object (when our - /// ref count goes to 0). + /// So we call PublishRefRemovedInternal when we are no longer borrowing this object + /// (when our ref count goes to 0). /// /// \param[in] object_id The object ID to set the callback for. /// \param[in] contained_in_id The object ID that contains object_id, if any. @@ -354,13 +354,9 @@ class ReferenceCounter : public ReferenceCounterInterface, /// submitted. Then, as long as we have contained_in_id in scope, we are /// borrowing object_id. /// \param[in] owner_address The owner of object_id's address. - /// \param[in] ref_removed_callback The callback to call when we are no - /// longer borrowing the object. - void SetRefRemovedCallback(const ObjectID &object_id, - const ObjectID &contained_in_id, - const rpc::Address &owner_address, - const ReferenceRemovedCallback &ref_removed_callback) - ABSL_LOCKS_EXCLUDED(mutex_); + void SubscribeRefRemoved(const ObjectID &object_id, + const ObjectID &contained_in_id, + const rpc::Address &owner_address) ABSL_LOCKS_EXCLUDED(mutex_); /// Set a callback to call whenever a Reference that we own is deleted. A /// Reference can only be deleted if: @@ -371,12 +367,8 @@ class ReferenceCounter : public ReferenceCounterInterface, /// \param[in] callback The callback to call. void SetReleaseLineageCallback(const LineageReleasedCallback &callback); - /// Respond to the object's owner once we are no longer borrowing it. The - /// sender is the owner of the object ID. We will send the reply when our - /// RefCount() for the object ID goes to 0. - /// - /// \param[in] object_id The object that we were borrowing. - void HandleRefRemoved(const ObjectID &object_id) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + /// Just calls PublishRefRemovedInternal with a lock. + void PublishRefRemoved(const ObjectID &object_id) ABSL_LOCKS_EXCLUDED(mutex_); /// Returns the total number of ObjectIDs currently in scope. size_t NumObjectIDsInScope() const ABSL_LOCKS_EXCLUDED(mutex_); @@ -815,9 +807,9 @@ class ReferenceCounter : public ReferenceCounterInterface, /// Callback that will be called when the object ref is deleted /// from the reference table (all refs including lineage ref count go to 0). std::function on_object_ref_delete; - /// Callback that is called when this process is no longer a borrower - /// (RefCount() == 0). - std::function on_ref_removed; + /// If this is set, we'll call PublishRefRemovedInternal when this process is no + /// longer a borrower (RefCount() == 0). + bool publish_ref_removed = false; /// For objects that have been spilled to external storage, the URL from which /// they can be retrieved. @@ -990,6 +982,12 @@ class ReferenceCounter : public ReferenceCounterInterface, std::vector *deleted) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + /// To respond to the object's owner once we are no longer borrowing it. The + /// sender is the owner of the object ID. We will send the reply when our + /// RefCount() for the object ID goes to 0. + void PublishRefRemovedInternal(const ObjectID &object_id) + ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + /// Erase the Reference from the table. Assumes that the entry has no more /// references, normal or lineage. void EraseReference(ReferenceTable::iterator entry) diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 72f7dc6a1364..0686db4837f9 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -319,10 +319,7 @@ class MockWorkerClient : public MockCoreWorkerClientInterface { auto r = num_requests_; auto borrower_callback = [=]() { - auto ref_removed_callback = - absl::bind_front(&ReferenceCounter::HandleRefRemoved, &rc_); - rc_.SetRefRemovedCallback( - object_id, contained_in_id, owner_address, ref_removed_callback); + rc_.SubscribeRefRemoved(object_id, contained_in_id, owner_address); }; borrower_callbacks_[r] = borrower_callback; From c6d85bb6815f0a75df8e4d51545c9fb05136fd94 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 11 Sep 2025 17:02:37 -0700 Subject: [PATCH 1176/1566] [core] Starting log_monitor before starting the raylet. (#56471) Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- python/ray/_private/node.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 74e13ae883f3..49a50e2ff4bb 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -1422,10 +1422,11 @@ def start_ray_processes(self): if self.resource_isolation_config.is_enabled(): self.resource_isolation_config.add_object_store_memory(object_store_memory) - self.start_raylet(plasma_directory, fallback_directory, object_store_memory) if self._ray_params.include_log_monitor: self.start_log_monitor() + self.start_raylet(plasma_directory, fallback_directory, object_store_memory) + def _kill_process_type( self, process_type, From ce747738f69589d321a83209b16c6731c773c122 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 11 Sep 2025 17:41:09 -0700 Subject: [PATCH 1177/1566] [core][1eventx/03] job event: send job events to the aggregator (#55213) This is part of a series of PRs to support JobEvent in the oneevent framework. The full effort will include adding the JobEvent schema, introducing a generic interface for exporting different types of events to the Event Aggregator, and implementing the necessary integration logic. ---- In this PR, we implement: - The integration of RayEventRecorder to the GcsServer to export job event - Add an e2e test to check that the expected job event is exported Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../aggregator/tests/test_aggregator_agent.py | 4 +- .../aggregator/tests/test_ray_job_events.py | 69 +++++++++++++++++++ src/ray/common/ray_config_def.h | 4 ++ src/ray/gcs/gcs_server/BUILD.bazel | 4 ++ src/ray/gcs/gcs_server/gcs_job_manager.cc | 31 +++++++-- src/ray/gcs/gcs_server/gcs_job_manager.h | 12 +++- src/ray/gcs/gcs_server/gcs_server.cc | 17 ++++- src/ray/gcs/gcs_server/gcs_server.h | 6 ++ .../gcs_server/gcs_server_io_context_policy.h | 14 ++-- src/ray/gcs/gcs_server/gcs_server_main.cc | 1 + src/ray/gcs/gcs_server/tests/BUILD.bazel | 2 + .../gcs_job_manager_export_event_test.cc | 45 +++++++++++- .../gcs_server/tests/gcs_job_manager_test.cc | 11 ++- src/ray/observability/BUILD.bazel | 9 +++ .../observability/fake_ray_event_recorder.h | 48 +++++++++++++ .../ray_driver_job_execution_event_test.cc | 8 +-- .../tests/ray_event_recorder_test.cc | 2 +- .../events_driver_job_execution_event.proto | 3 +- 18 files changed, 264 insertions(+), 26 deletions(-) create mode 100644 python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py create mode 100644 src/ray/observability/fake_ray_event_recorder.h diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 31b3ed26b6cf..4d5bf15ed4ba 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -839,7 +839,7 @@ def test_aggregator_agent_receive_driver_job_execution_event( timestamp=Timestamp(seconds=1234567890), ), DriverJobExecutionEvent.StateTimestamp( - state=DriverJobExecutionEvent.State.FAILURE, + state=DriverJobExecutionEvent.State.FINISHED, timestamp=Timestamp(seconds=1234567890), ), ], @@ -862,7 +862,7 @@ def test_aggregator_agent_receive_driver_job_execution_event( ) assert len(req_json[0]["driverJobExecutionEvent"]["states"]) == 2 assert req_json[0]["driverJobExecutionEvent"]["states"][0]["state"] == "CREATED" - assert req_json[0]["driverJobExecutionEvent"]["states"][1]["state"] == "FAILURE" + assert req_json[0]["driverJobExecutionEvent"]["states"][1]["state"] == "FINISHED" if __name__ == "__main__": diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py new file mode 100644 index 000000000000..006bccd2f19d --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py @@ -0,0 +1,69 @@ +import base64 +import json +import sys + +import pytest + +import ray +import ray.dashboard.consts as dashboard_consts +from ray._private import ray_constants +from ray._private.test_utils import wait_for_condition +from ray._raylet import GcsClient +from ray.dashboard.tests.conftest import * # noqa + +_RAY_EVENT_PORT = 12345 + + +@pytest.fixture(scope="session") +def httpserver_listen_address(): + return ("127.0.0.1", _RAY_EVENT_PORT) + + +def wait_for_dashboard_agent_available(cluster): + gcs_client = GcsClient(address=cluster.address) + + def get_dashboard_agent_address(): + return gcs_client.internal_kv_get( + f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), + namespace=ray_constants.KV_NAMESPACE_DASHBOARD, + timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, + ) + + wait_for_condition(lambda: get_dashboard_agent_address() is not None) + + +def test_ray_job_events(ray_start_cluster, httpserver): + cluster = ray_start_cluster + cluster.add_node( + env_vars={ + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": f"http://127.0.0.1:{_RAY_EVENT_PORT}", + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT", + }, + _system_config={ + "enable_ray_event": True, + }, + ) + cluster.wait_for_nodes() + ray.init(address=cluster.address) + wait_for_dashboard_agent_available(cluster) + + # Submit a ray job + @ray.remote + def f(): + return 1 + + ray.get(f.remote()) + + # Check that a driver job event with the correct job id is published. + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + wait_for_condition(lambda: len(httpserver.log) >= 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + assert ( + base64.b64decode(req_json[0]["driverJobDefinitionEvent"]["jobId"]).hex() + == ray.get_runtime_context().get_job_id() + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index f780c9b6868e..4f166f891816 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -530,6 +530,10 @@ RAY_CONFIG(std::string, metric_cardinality_level, "legacy") /// using OpenCensus. RAY_CONFIG(bool, enable_open_telemetry, false) +/// Whether to enable Ray Event as the event collection backend. The default is +/// using the Export API. +RAY_CONFIG(bool, enable_ray_event, false) + /// Comma separated list of components we enable grpc metrics collection for. /// Only effective if `enable_metrics_collection` is also true. Will have some performance /// degredations. diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/gcs_server/BUILD.bazel index 35fb38ae328f..695ddad003b1 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/gcs_server/BUILD.bazel @@ -231,6 +231,7 @@ ray_cc_library( deps = [ ":gcs_task_manager", "//src/ray/common:ray_syncer", + "//src/ray/observability:ray_event_recorder", "//src/ray/pubsub:gcs_publisher", "//src/ray/util:array", "//src/ray/util:type_traits", @@ -248,6 +249,9 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:protobuf_utils", "//src/ray/common:runtime_env", + "//src/ray/observability:ray_driver_job_definition_event", + "//src/ray/observability:ray_driver_job_execution_event", + "//src/ray/observability:ray_event_recorder_interface", "//src/ray/pubsub:gcs_publisher", "//src/ray/rpc:core_worker_client", "//src/ray/stats:stats_metric", diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_server/gcs_job_manager.cc index 0ea008ad7ee9..89af057e6832 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_server/gcs_job_manager.cc @@ -23,6 +23,8 @@ #include "absl/strings/match.h" #include "ray/common/protobuf_utils.h" +#include "ray/observability/ray_driver_job_definition_event.h" +#include "ray/observability/ray_driver_job_execution_event.h" #include "ray/stats/metric.h" #include "ray/util/time.h" @@ -42,18 +44,33 @@ void GcsJobManager::Initialize(const GcsInitData &gcs_init_data) { } } -void GcsJobManager::WriteDriverJobExportEvent(rpc::JobTableData job_data) const { +void GcsJobManager::WriteDriverJobExportEvent( + rpc::JobTableData job_data, rpc::events::DriverJobExecutionEvent::State state) const { /// Write job_data as a export driver job event if /// enable_export_api_write() is enabled and if this job is /// not in the _ray_internal_ namespace. - if (!export_event_write_enabled_) { - return; - } if (absl::StartsWith(job_data.config().ray_namespace(), kRayInternalNamespacePrefix)) { // Namespace of this job starts with _ray_internal_ so // don't write export event. return; } + if (RayConfig::instance().enable_ray_event()) { + std::vector> events; + if (state == rpc::events::DriverJobExecutionEvent::CREATED) { + // Job definition event is emitted once when the job is created. + events.push_back(std::make_unique( + job_data, session_name_)); + } + events.push_back(std::make_unique( + job_data, state, session_name_)); + ray_event_recorder_.AddEvents(std::move(events)); + return; + } + + // TODO(#56391): to be deprecated once the Ray Event system is stable. + if (!export_event_write_enabled_) { + return; + } std::shared_ptr export_driver_job_data_ptr = std::make_shared(); export_driver_job_data_ptr->set_job_id(job_data.job_id()); @@ -105,7 +122,8 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, reply, send_reply_callback = std::move(send_reply_callback)](const Status &status) mutable { - WriteDriverJobExportEvent(job_table_data); + WriteDriverJobExportEvent(job_table_data, + rpc::events::DriverJobExecutionEvent::CREATED); if (!status.ok()) { RAY_LOG(ERROR).WithField(job_id).WithField("driver_pid", job_table_data.driver_pid()) @@ -155,7 +173,8 @@ void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, RAY_LOG(DEBUG).WithField(job_id) << "Marked job as finished."; } function_manager_.RemoveJobReference(job_id); - WriteDriverJobExportEvent(job_table_data); + WriteDriverJobExportEvent(job_table_data, + rpc::events::DriverJobExecutionEvent::FINISHED); // Update running job status. // Note: This operation must be idempotent since MarkJobFinished can be called diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_server/gcs_job_manager.h index 095393c960c0..f6c534eb5c70 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_server/gcs_job_manager.h @@ -27,6 +27,7 @@ #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/gcs_server/gcs_table_storage.h" #include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" @@ -57,7 +58,9 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { GCSFunctionManager &function_manager, InternalKVInterface &internal_kv, instrumented_io_context &io_context, - rpc::CoreWorkerClientPool &worker_client_pool) + rpc::CoreWorkerClientPool &worker_client_pool, + observability::RayEventRecorderInterface &ray_event_recorder, + const std::string &session_name) : gcs_table_storage_(gcs_table_storage), gcs_publisher_(gcs_publisher), runtime_env_manager_(runtime_env_manager), @@ -65,6 +68,8 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { internal_kv_(internal_kv), io_context_(io_context), worker_client_pool_(worker_client_pool), + ray_event_recorder_(ray_event_recorder), + session_name_(session_name), export_event_write_enabled_(IsExportAPIEnabledDriverJob()) {} void Initialize(const GcsInitData &gcs_init_data); @@ -99,7 +104,8 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { /// \param node_id The specified node id. void OnNodeDead(const NodeID &node_id); - void WriteDriverJobExportEvent(rpc::JobTableData job_data) const; + void WriteDriverJobExportEvent(rpc::JobTableData job_data, + rpc::events::DriverJobExecutionEvent::State state) const; // Verify if export events should be written for EXPORT_DRIVER_JOB source types bool IsExportAPIEnabledDriverJob() const { @@ -145,6 +151,8 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { InternalKVInterface &internal_kv_; instrumented_io_context &io_context_; rpc::CoreWorkerClientPool &worker_client_pool_; + observability::RayEventRecorderInterface &ray_event_recorder_; + std::string session_name_; /// If true, driver job events are exported for Export API bool export_event_write_enabled_ = false; diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server/gcs_server.cc index 9adbcb2b9445..1249b6298d7f 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server/gcs_server.cc @@ -113,6 +113,16 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, }); }); }), + event_aggregator_client_call_manager_( + io_context_provider_.GetIOContext(), + /*record_stats=*/true, + ClusterID::Nil(), + RayConfig::instance().gcs_server_rpc_client_thread_num()), + event_aggregator_client_(std::make_unique( + config_.metrics_agent_port, event_aggregator_client_call_manager_)), + ray_event_recorder_(std::make_unique( + *event_aggregator_client_, + io_context_provider_.GetIOContext())), pubsub_periodical_runner_(PeriodicalRunner::Create( io_context_provider_.GetIOContext())), periodical_runner_( @@ -255,9 +265,10 @@ void GcsServer::DoStart(const GcsInitData &gcs_init_data) { InitGcsAutoscalerStateManager(gcs_init_data); InitUsageStatsClient(); - // Init OpenTelemetry exporter. + // Init metrics and event exporter. metrics_agent_client_->WaitForServerReady([this](const Status &server_status) { stats::InitOpenTelemetryExporter(config_.metrics_agent_port, server_status); + ray_event_recorder_->StartExportingEvents(); }); // Start RPC server when all tables have finished loading initial @@ -446,7 +457,9 @@ void GcsServer::InitGcsJobManager(const GcsInitData &gcs_init_data) { *function_manager_, kv_manager_->GetInstance(), io_context_provider_.GetDefaultIOContext(), - worker_client_pool_); + worker_client_pool_, + *ray_event_recorder_, + config_.session_name); gcs_job_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server/gcs_server.h index 4bbe81432e01..31c3f3a09fb4 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server/gcs_server.h @@ -36,6 +36,7 @@ #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/observability/ray_event_recorder.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" @@ -267,6 +268,11 @@ class GcsServer { std::unique_ptr kv_manager_; /// Job info handler. std::unique_ptr gcs_job_manager_; + /// The Ray event recorder that is used to record events (e.g. job events, node events, + /// etc.). + rpc::ClientCallManager event_aggregator_client_call_manager_; + std::unique_ptr event_aggregator_client_; + std::unique_ptr ray_event_recorder_; /// Ray Syncer related fields. std::unique_ptr ray_syncer_; diff --git a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h b/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h index d43dc1086657..95e5e550634f 100644 --- a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h +++ b/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h @@ -20,6 +20,7 @@ #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/gcs/gcs_server/gcs_task_manager.h" +#include "ray/observability/ray_event_recorder.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/util/array.h" #include "ray/util/type_traits.h" @@ -41,6 +42,8 @@ struct GcsServerIOContextPolicy { return IndexOf("pubsub_io_context"); } else if constexpr (std::is_same_v) { return IndexOf("ray_syncer_io_context"); + } else if constexpr (std::is_same_v) { + return IndexOf("ray_event_io_context"); } else if constexpr (std::is_same_v) { // default io context return -1; @@ -54,10 +57,13 @@ struct GcsServerIOContextPolicy { // This list must be unique and complete set of names returned from // GetDedicatedIOContextIndex. Or you can get runtime crashes when accessing a missing // name, or get leaks by creating unused threads. - constexpr static std::array kAllDedicatedIOContextNames{ - "task_io_context", "pubsub_io_context", "ray_syncer_io_context"}; - constexpr static std::array kAllDedicatedIOContextEnableLagProbe{ - true, true, true}; + constexpr static std::array kAllDedicatedIOContextNames{ + "task_io_context", + "pubsub_io_context", + "ray_syncer_io_context", + "ray_event_io_context"}; + constexpr static std::array kAllDedicatedIOContextEnableLagProbe{ + true, true, true, true}; constexpr static size_t IndexOf(std::string_view name) { return ray::IndexOf(kAllDedicatedIOContextNames, name); diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index 9cf428dbbae7..712acb8d9768 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -150,6 +150,7 @@ int main(int argc, char *argv[]) { gcs_server_config.grpc_server_port = gcs_server_port; gcs_server_config.grpc_server_thread_num = RayConfig::instance().gcs_server_rpc_server_thread_num(); + gcs_server_config.metrics_agent_port = metrics_agent_port; gcs_server_config.redis_address = redis_address; gcs_server_config.redis_port = redis_port; gcs_server_config.enable_redis_ssl = FLAGS_redis_enable_ssl; diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/gcs_server/tests/BUILD.bazel index 7d5ecaf74534..feae8305f242 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/gcs_server/tests/BUILD.bazel @@ -128,6 +128,7 @@ ray_cc_test( "//src/ray/gcs/gcs_server:gcs_job_manager", "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "@com_google_googletest//:gtest_main", ], ) @@ -395,6 +396,7 @@ ray_cc_test( "//src/ray/gcs/gcs_server:gcs_job_manager", "//src/ray/gcs/gcs_server:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc index 498ba1754e4c..9a310d1f923e 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_server/gcs_job_manager.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" using json = nlohmann::json; @@ -59,6 +60,7 @@ class GcsJobManagerTest : public ::testing::Test { return std::make_shared( address.port()); }); + fake_ray_event_recorder_ = std::make_unique(); log_dir_ = "event_12345"; } @@ -78,11 +80,50 @@ class GcsJobManagerTest : public ::testing::Test { std::unique_ptr kv_; std::unique_ptr fake_kv_; std::unique_ptr worker_client_pool_; + std::unique_ptr fake_ray_event_recorder_; RuntimeEnvManager runtime_env_manager_; const std::chrono::milliseconds timeout_ms_{5000}; std::string log_dir_; }; +TEST_F(GcsJobManagerTest, TestRayEventDriverJobEvents) { + RayConfig::instance().initialize( + R"( +{ + "enable_ray_event": true +} + )"); + gcs::GcsJobManager gcs_job_manager(*gcs_table_storage_, + *gcs_publisher_, + runtime_env_manager_, + *function_manager_, + *fake_kv_, + io_service_, + *worker_client_pool_, + *fake_ray_event_recorder_, + "test_session_name"); + gcs::GcsInitData gcs_init_data(*gcs_table_storage_); + gcs_job_manager.Initialize(gcs_init_data); + auto job_api_job_id = JobID::FromInt(100); + std::string submission_id = "submission_id_100"; + auto add_job_request = GenAddJobRequest(job_api_job_id, "namespace_100", submission_id); + rpc::AddJobReply empty_reply; + std::promise promise; + gcs_job_manager.HandleAddJob( + *add_job_request, + &empty_reply, + [&promise](Status, std::function, std::function) { + promise.set_value(true); + }); + promise.get_future().get(); + auto buffer = fake_ray_event_recorder_->FlushBuffer(); + + ASSERT_EQ(buffer.size(), 2); + ASSERT_EQ(buffer[0]->GetEventType(), + rpc::events::RayEvent::DRIVER_JOB_DEFINITION_EVENT); + ASSERT_EQ(buffer[1]->GetEventType(), rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT); +} + TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { // Test adding and marking a driver job as finished, and that corresponding // export events are written. @@ -105,7 +146,9 @@ TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { *function_manager_, *fake_kv_, io_service_, - *worker_client_pool_); + *worker_client_pool_, + *fake_ray_event_recorder_, + "test_session_name"); gcs::GcsInitData gcs_init_data(*gcs_table_storage_); gcs_job_manager.Initialize(gcs_init_data); diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc index ee9f6a320e9a..4c4227f5d929 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc @@ -24,6 +24,7 @@ #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" namespace ray { @@ -55,13 +56,16 @@ class GcsJobManagerTest : public ::testing::Test { return std::make_shared( address.port()); }); + fake_ray_event_recorder_ = std::make_unique(); gcs_job_manager_ = std::make_unique(*gcs_table_storage_, *gcs_publisher_, runtime_env_manager_, *function_manager_, *fake_kv_, io_service_, - *worker_client_pool_); + *worker_client_pool_, + *fake_ray_event_recorder_, + "test_session_name"); } ~GcsJobManagerTest() { @@ -82,6 +86,7 @@ class GcsJobManagerTest : public ::testing::Test { RuntimeEnvManager runtime_env_manager_; const std::chrono::milliseconds timeout_ms_{5000}; std::unique_ptr gcs_job_manager_; + std::unique_ptr fake_ray_event_recorder_; }; TEST_F(GcsJobManagerTest, TestFakeInternalKV) { @@ -607,7 +612,9 @@ TEST_F(GcsJobManagerTest, TestMarkJobFinishedIdempotency) { *function_manager_, *fake_kv_, io_service_, - *worker_client_pool_); + *worker_client_pool_, + *fake_ray_event_recorder_, + "test_session_name"); auto job_id = JobID::FromInt(1); gcs::GcsInitData gcs_init_data(*gcs_table_storage_); diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index 4da0cd2a5c83..ac19b4f6eea2 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -116,3 +116,12 @@ ray_cc_library( "@com_google_absl//absl/time", ], ) + +ray_cc_library( + name = "fake_ray_event_recorder", + hdrs = ["fake_ray_event_recorder.h"], + deps = [ + ":ray_event_interface", + ":ray_event_recorder_interface", + ], +) diff --git a/src/ray/observability/fake_ray_event_recorder.h b/src/ray/observability/fake_ray_event_recorder.h new file mode 100644 index 000000000000..bbbecdf0d69a --- /dev/null +++ b/src/ray/observability/fake_ray_event_recorder.h @@ -0,0 +1,48 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "ray/observability/ray_event_interface.h" +#include "ray/observability/ray_event_recorder_interface.h" + +namespace ray { +namespace observability { + +class FakeRayEventRecorder : public RayEventRecorderInterface { + public: + void StartExportingEvents() override {} + void AddEvents(std::vector> &&data_list) override { + absl::MutexLock lock(&mutex_); + buffer_.insert(buffer_.end(), + std::make_move_iterator(data_list.begin()), + std::make_move_iterator(data_list.end())); + } + + const std::vector> FlushBuffer() { + absl::MutexLock lock(&mutex_); + auto buffer = std::move(buffer_); + buffer_.clear(); + return buffer; + } + + private: + std::vector> buffer_ ABSL_GUARDED_BY(mutex_); + absl::Mutex mutex_; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/ray_driver_job_execution_event_test.cc b/src/ray/observability/tests/ray_driver_job_execution_event_test.cc index d6a2b1ad4d4b..1e6a26a0ea53 100644 --- a/src/ray/observability/tests/ray_driver_job_execution_event_test.cc +++ b/src/ray/observability/tests/ray_driver_job_execution_event_test.cc @@ -25,16 +25,16 @@ TEST_F(RayDriverJobExecutionEventTest, TestMerge) { rpc::JobTableData data; data.set_job_id("test_job_id_1"); auto event1 = std::make_unique( - data, rpc::events::DriverJobExecutionEvent::SUCCESS, "test_session_name_1"); + data, rpc::events::DriverJobExecutionEvent::CREATED, "test_session_name_1"); auto event2 = std::make_unique( - data, rpc::events::DriverJobExecutionEvent::FAILURE, "test_session_name_1"); + data, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name_1"); event1->Merge(std::move(*event2)); auto serialized_event = std::move(*event1).Serialize(); ASSERT_EQ(serialized_event.driver_job_execution_event().states_size(), 2); ASSERT_EQ(serialized_event.driver_job_execution_event().states(0).state(), - rpc::events::DriverJobExecutionEvent::SUCCESS); + rpc::events::DriverJobExecutionEvent::CREATED); ASSERT_EQ(serialized_event.driver_job_execution_event().states(1).state(), - rpc::events::DriverJobExecutionEvent::FAILURE); + rpc::events::DriverJobExecutionEvent::FINISHED); } } // namespace observability diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 4f825b3ee95a..13a64f8aa4bf 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -91,7 +91,7 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { events.push_back( std::make_unique(data1, "test_session_name_1")); events.push_back(std::make_unique( - data2, rpc::events::DriverJobExecutionEvent::SUCCESS, "test_session_name_2")); + data2, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name_2")); recorder_->AddEvents(std::move(events)); io_service_.run_one(); diff --git a/src/ray/protobuf/public/events_driver_job_execution_event.proto b/src/ray/protobuf/public/events_driver_job_execution_event.proto index 2d6c58f1c760..4c9dd611140c 100644 --- a/src/ray/protobuf/public/events_driver_job_execution_event.proto +++ b/src/ray/protobuf/public/events_driver_job_execution_event.proto @@ -27,8 +27,7 @@ message DriverJobExecutionEvent { enum State { UNSPECIFIED = 0; CREATED = 1; - FAILURE = 2; - SUCCESS = 3; + FINISHED = 2; } message StateTimestamp { From e891a4ebf236678a029964ef9b5c2d16f9e40f2e Mon Sep 17 00:00:00 2001 From: kourosh hakhamaneshi <31483498+kouroshHakha@users.noreply.github.com> Date: Fri, 12 Sep 2025 02:54:23 +0200 Subject: [PATCH 1178/1566] [data.llm] Fix sglang byod on release (#55885) Signed-off-by: Kourosh Hakhamaneshi Co-authored-by: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/ray_release/byod/byod_llm_sglang_test.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/ray_release/byod/byod_llm_sglang_test.sh b/release/ray_release/byod/byod_llm_sglang_test.sh index 43a43b4a7ed6..6b75a5306b2d 100755 --- a/release/ray_release/byod/byod_llm_sglang_test.sh +++ b/release/ray_release/byod/byod_llm_sglang_test.sh @@ -4,4 +4,4 @@ set -exo pipefail -pip3 install "sglang[all]==0.4.5.post1" +pip3 install "sglang[all]==0.5.1.post2" From 191ae5e6a23889d31b7c197f2c41c363853f3b23 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Thu, 11 Sep 2025 18:31:30 -0700 Subject: [PATCH 1179/1566] [Data] Update image embedding benchmark to use `download` (#56245) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? The existing image embedding release test downloads images from URIs in a pandas DataFrame. Previously, it used a boto-based UDF, but now it’s updated to use the built-in Ray API introduced in https://github.com/ray-project/ray/pull/55824. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../autoscaling_cluster_compute.yaml | 21 ++++ .../fixed_size_cluster_compute.yaml | 21 ++++ .../main.py} | 100 +++++++++++------- release/release_data_tests.yaml | 53 ++++------ 4 files changed, 126 insertions(+), 69 deletions(-) create mode 100644 release/nightly_tests/dataset/image_embedding_from_uris/autoscaling_cluster_compute.yaml create mode 100644 release/nightly_tests/dataset/image_embedding_from_uris/fixed_size_cluster_compute.yaml rename release/nightly_tests/dataset/{batch_inference_mock_image_pipeline.py => image_embedding_from_uris/main.py} (71%) diff --git a/release/nightly_tests/dataset/image_embedding_from_uris/autoscaling_cluster_compute.yaml b/release/nightly_tests/dataset/image_embedding_from_uris/autoscaling_cluster_compute.yaml new file mode 100644 index 000000000000..ff9f39f3cc5a --- /dev/null +++ b/release/nightly_tests/dataset/image_embedding_from_uris/autoscaling_cluster_compute.yaml @@ -0,0 +1,21 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: m5.2xlarge + resources: + cpu: 0 + +worker_node_types: + - name: worker-node + instance_type: g4dn.2xlarge + min_workers: 0 + max_workers: 100 + use_spot: false + +flags: + allow-cross-zone-autoscaling: true diff --git a/release/nightly_tests/dataset/image_embedding_from_uris/fixed_size_cluster_compute.yaml b/release/nightly_tests/dataset/image_embedding_from_uris/fixed_size_cluster_compute.yaml new file mode 100644 index 000000000000..199da1873dc3 --- /dev/null +++ b/release/nightly_tests/dataset/image_embedding_from_uris/fixed_size_cluster_compute.yaml @@ -0,0 +1,21 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: m5.2xlarge + resources: + cpu: 0 + +worker_node_types: + - name: worker-node + instance_type: g4dn.2xlarge + min_workers: 100 + max_workers: 100 + use_spot: false + +flags: + allow-cross-zone-autoscaling: true diff --git a/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py b/release/nightly_tests/dataset/image_embedding_from_uris/main.py similarity index 71% rename from release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py rename to release/nightly_tests/dataset/image_embedding_from_uris/main.py index 41aa12f10845..48fcf8fc83f3 100644 --- a/release/nightly_tests/dataset/batch_inference_mock_image_pipeline.py +++ b/release/nightly_tests/dataset/image_embedding_from_uris/main.py @@ -3,7 +3,6 @@ import uuid from typing import Any, Dict -import boto3 import numpy as np import pandas as pd import torch @@ -12,19 +11,22 @@ from torchvision.models import vit_b_16, ViT_B_16_Weights import albumentations as A import ray -from ray.data import ActorPoolStrategy, DataContext import copy import itertools from typing import List import string import random import time +from ray.data.expressions import download +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +from ray._private.test_utils import EC2InstanceTerminatorWithGracePeriod + WRITE_PATH = f"s3://ray-data-write-benchmark/{uuid.uuid4().hex}" BUCKET = "ray-benchmark-data-internal-us-west-2" # Assumptions: homogenously shaped images, homogenous images -# Each iamge is 2048 * 2048 * 3 = 12.58 MB -> 11 images / block. 8 blocks per task, so ~88 images per task. +# Each image is 2048 * 2048 * 3 = 12.58 MB -> 11 images / block. 8 blocks per task, so ~88 images per task. IMAGES_PER_BLOCK = 11 BLOCKS_PER_TASK = 8 NUM_UNITS = 1380 @@ -42,6 +44,13 @@ def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser() + parser.add_argument( + "--inference-concurrency", + nargs=2, + type=int, + required=True, + help="The minimum and maximum concurrency for the inference operator.", + ) parser.add_argument( "--sf", dest="scale_factor", @@ -52,6 +61,14 @@ def parse_args() -> argparse.Namespace: "dataset." ), ) + parser.add_argument( + "--chaos", + action="store_true", + help=( + "Whether to enable chaos. If set, this script terminates one worker node " + "every minute with a grace period." + ), + ) return parser.parse_args() @@ -70,10 +87,9 @@ def create_metadata(scale_factor: int): "metadata_6": "".join(random.choices(string.ascii_letters, k=16)), "container_order_read_id": f"{i:04d}_{j:04d}", "container_id": i, - "channel_keys": [ - f"15TiB-high-resolution-images/group={i:04d}/{j:04d}_{k}.png" - for k in range(3) - ], + "channel0_uris": f"s3://{BUCKET}/15TiB-high-resolution-images/group={i:04d}/{j:04d}_{0}.png", + "channel1_uris": f"s3://{BUCKET}/15TiB-high-resolution-images/group={i:04d}/{j:04d}_{1}.png", + "channel2_uris": f"s3://{BUCKET}/15TiB-high-resolution-images/group={i:04d}/{j:04d}_{2}.png", "applied_scale": 1, } for j in range(NUM_UNITS) @@ -82,20 +98,16 @@ def create_metadata(scale_factor: int): ) -class LoadImage: - def __init__(self): - self._client = boto3.client("s3") +def combine_channels(row: Dict[str, Any]) -> Dict[str, np.ndarray]: + channels = [] + for i in range(3): + data = io.BytesIO(row.pop(f"channel{i}")) + image = Image.open(data) + channels.append(np.array(image)) - def __call__(self, row): - channels = [] - for key in row["channel_keys"]: - data = io.BytesIO() - self._client.download_fileobj(BUCKET, key, data) - image = Image.open(data) - channels.append(np.array(image)) + row["image"] = np.dstack(channels) - row["image"] = np.dstack(channels) - return row + return row def process_image(row: Dict[str, Any]) -> Dict[str, np.ndarray]: @@ -177,11 +189,14 @@ def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: return batch -def main(scale_factor: int): +def main(args: argparse.Namespace): benchmark = Benchmark() + if args.chaos: + start_chaos() + print("Creating metadata") - metadata = create_metadata(scale_factor=scale_factor) + metadata = create_metadata(scale_factor=args.scale_factor) def benchmark_fn(): weights = ViT_B_16_Weights.DEFAULT @@ -189,28 +204,21 @@ def benchmark_fn(): transform = weights.transforms() model_ref = ray.put(model) - # Toggle on features that are required for the pipeline to work. - ctx = DataContext.get_current() - ctx.enable_fallback_to_arrow_object_ext_type = True - ctx.execution_options.actor_locality_enabled = True - - print(f"Starting pipeline with {OVERRIDE_NUM_BLOCKS} blocks") ( - ray.data.from_pandas(metadata, override_num_blocks=OVERRIDE_NUM_BLOCKS) - .map( - LoadImage, - # TODO(mowen): When we fix the deadlocking bug we should increase this to 800. - compute=ActorPoolStrategy(min_size=1, max_size=700), - max_concurrency=4, # needed to prevent image loading from becoming the bottleneck - ) + ray.data.from_pandas(metadata) + .with_column("channel0", download("channel0_uris")) + .with_column("channel1", download("channel1_uris")) + .with_column("channel2", download("channel2_uris")) + .map(combine_channels) .filter(lambda row: row["image"].size != 0) .map(process_image) .flat_map(patch_image) .map_batches(ProcessPatches(transform)) .map_batches( - FakeEmbedPatches, + EmbedPatches, + num_gpus=1, batch_size=BATCH_SIZE, - compute=ActorPoolStrategy(min_size=1, max_size=100), + concurrency=tuple(args.inference_concurrency), fn_constructor_kwargs={"model": model_ref, "device": "cuda"}, ) .write_parquet(WRITE_PATH) @@ -220,7 +228,23 @@ def benchmark_fn(): benchmark.write_result() +def start_chaos(): + assert ray.is_initialized() + + head_node_id = ray.get_runtime_context().get_node_id() + scheduling_strategy = NodeAffinitySchedulingStrategy( + node_id=head_node_id, soft=False + ) + resource_killer = EC2InstanceTerminatorWithGracePeriod.options( + scheduling_strategy=scheduling_strategy + ).remote(head_node_id, max_to_kill=None) + + ray.get(resource_killer.ready.remote()) + + resource_killer.run.remote() + + if __name__ == "__main__": args = parse_args() - scale_factor = args.scale_factor - main(scale_factor) + ray.init() + main(args) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index ce36281a8e50..9572ae6b2840 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -518,45 +518,36 @@ python dataset/gpu_batch_inference.py --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet --chaos-test -- name: batch_inference_mock_image_pipeline - frequency: manual - working_dir: nightly_tests - - cluster: - cluster_compute: dataset/autoscaling_100_cpu_compute.yaml - - run: - timeout: 3600 - script: > - python dataset/batch_inference_mock_image_pipeline.py - variations: - - __suffix__: regular - - __suffix__: chaos - run: - prepare: > - python setup_chaos.py --chaos TerminateEC2InstanceWithGracePeriod - --batch-size-to-kill 10 --max-to-kill 100 --kill-delay 120 - -- name: batch_inference_mock_image_pipeline_fixed +- name: image_embedding_from_uris_{{case}} frequency: manual - working_dir: nightly_tests + + matrix: + setup: + case: [] + cluster_type: [] + args: [] + adjustments: + - with: + case: fixed_size + cluster_type: fixed_size + args: --inference-concurrency 100 100 + - with: + case: autoscaling + cluster_type: autoscaling + args: --inference-concurrency 1 100 + - with: + case: fixed_size_chaos + cluster_type: fixed_size + args: --inference-concurrency 100 100 --chaos cluster: - cluster_compute: dataset/fixed_size_100_cpu_compute.yaml + cluster_compute: image_embedding_from_uris/{{cluster_type}}_cluster_compute.yaml run: timeout: 3600 - script: > - python dataset/batch_inference_mock_image_pipeline.py + script: python image_embedding_from_uris/main.py {{args}} - variations: - - __suffix__: regular - - __suffix__: chaos - run: - prepare: > - python setup_chaos.py --chaos TerminateEC2InstanceWithGracePeriod - --batch-size-to-kill 10 --max-to-kill 100 --kill-delay 120 - name: batch_inference_hetero_{{case}} frequency: manual From 4f8ea9bdc3483e96490d7e8f6082355f3a845848 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 11 Sep 2025 22:14:13 -0700 Subject: [PATCH 1180/1566] [core][otel] fix default value for missing metric tags (#56467) When a metric emits a data point with a missing tag, the existing OpenCensus implementation records the tag value as an empty string, whereas the new OpenTelemetry implementation omits the tag entirely. Update the OpenTelemetry implementation to default missing tags to an empty string, ensuring consistent behavior between the two systems. Test: - CI with the test_task_metrics.py test Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/stats/metric.cc | 9 ++-- src/ray/stats/metric.h | 23 +++------ .../tests/metric_with_open_telemetry_test.cc | 47 ++++++++++--------- 3 files changed, 37 insertions(+), 42 deletions(-) diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index 4903352ab0d2..89ba9e21303e 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -116,15 +116,16 @@ void Metric::Record(double value, TagsType tags) { if (::RayConfig::instance().enable_open_telemetry()) { // Collect tags from both the metric-specific tags and the global tags. absl::flat_hash_map open_telemetry_tags; - std::unordered_set tag_keys_set; + // Add default values for missing tag keys. for (const auto &tag_key : tag_keys_) { - tag_keys_set.insert(tag_key.name()); + open_telemetry_tags[tag_key.name()] = ""; } // Insert metric-specific tags that match the expected keys. for (const auto &tag : tags) { const std::string &key = tag.first.name(); - if (tag_keys_set.count(key)) { - open_telemetry_tags[key] = tag.second; + auto it = open_telemetry_tags.find(key); + if (it != open_telemetry_tags.end()) { + it->second = tag.second; } } // Add global tags, overwriting any existing tag keys. diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index cb1d3d83702a..4ae0c4ec3f4a 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -334,16 +334,6 @@ inline std::vector convert_tags( return ret; } -inline std::unordered_set build_tag_key_set( - const std::vector &tag_keys) { - std::unordered_set tag_keys_set; - tag_keys_set.reserve(tag_keys.size()); - for (const auto &tag_key : tag_keys) { - tag_keys_set.insert(tag_key); - } - return tag_keys_set; -} - /* This is a helper class to define a metrics. With this class we'll be able to define a multi-view-single-measure metric for @@ -366,9 +356,7 @@ class Stats { const std::string, const std::vector, const std::vector &buckets)> register_func) - : name_(measure), - tag_keys_(convert_tags(tag_keys)), - tag_keys_set_(build_tag_key_set(tag_keys)) { + : name_(measure), tag_keys_(convert_tags(tag_keys)) { auto stats_init = [register_func, measure, description, buckets, this]() { measure_ = std::make_unique(Measure::Register(measure, description, "")); register_func(measure, description, tag_keys_, buckets); @@ -398,10 +386,14 @@ class Stats { absl::flat_hash_map open_telemetry_tags; // Insert metric-specific tags that match the expected keys. + for (const auto &tag_key : tag_keys_) { + open_telemetry_tags[tag_key.name()] = ""; + } for (const auto &tag : open_census_tags) { const std::string &key = tag.first.name(); - if (tag_keys_set_.count(key) != 0) { - open_telemetry_tags[key] = tag.second; + auto it = open_telemetry_tags.find(key); + if (it != open_telemetry_tags.end()) { + it->second = tag.second; } } // Add global tags, overwriting any existing tag keys. @@ -479,7 +471,6 @@ class Stats { const std::string name_; // TODO: Depricate `tag_keys_` once we have fully migrated away from opencensus const std::vector tag_keys_; - const std::unordered_set tag_keys_set_; std::unique_ptr> measure_; }; diff --git a/src/ray/stats/tests/metric_with_open_telemetry_test.cc b/src/ray/stats/tests/metric_with_open_telemetry_test.cc index 4c337d47fb76..0ff403e939c9 100644 --- a/src/ray/stats/tests/metric_with_open_telemetry_test.cc +++ b/src/ray/stats/tests/metric_with_open_telemetry_test.cc @@ -176,14 +176,15 @@ INSTANTIATE_TEST_SUITE_P( GaugeMetricTest, ::testing::Values( // Gauge metric without global tags - GaugeMetricCase{/*metric_name=*/"metric_gauge_test", - /*record_value=*/42.0, - /*record_tags=*/ - {{stats::TagKeyType::Register("Tag1"), "Value1"}, - {stats::TagKeyType::Register("Tag2"), "Value1"}}, - /*global_tags=*/{}, // no global tags - /*expected_tags=*/{{"Tag1", "Value1"}, {"Tag2", "Value1"}}, - /*expected_value=*/42.0}, + GaugeMetricCase{ + /*metric_name=*/"metric_gauge_test", + /*record_value=*/42.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value1"}, + {stats::TagKeyType::Register("Tag2"), "Value1"}}, + /*global_tags=*/{}, // no global tags + /*expected_tags=*/{{"Tag1", "Value1"}, {"Tag2", "Value1"}, {"Tag3", ""}}, + /*expected_value=*/42.0}, // Gauge metric with a single global tag that is metric-specific GaugeMetricCase{/*metric_name=*/"metric_gauge_test", /*record_value=*/52.0, @@ -195,19 +196,20 @@ INSTANTIATE_TEST_SUITE_P( {{"Tag1", "Value2"}, {"Tag2", "Value2"}, {"Tag3", "Global"}}, /*expected_value=*/52.0}, // Gauge metric with a non-metric-specific global tag - GaugeMetricCase{/*metric_name=*/"metric_gauge_test", - /*record_value=*/62.0, - /*record_tags=*/ - {{stats::TagKeyType::Register("Tag1"), "Value3"}, - {stats::TagKeyType::Register("Tag2"), "Value3"}}, - /*global_tags=*/ - { - {stats::TagKeyType::Register("Tag4"), - "Global"} // Tag4 not registered in metric definition - }, - /*expected_tags=*/ - {{"Tag1", "Value3"}, {"Tag2", "Value3"}, {"Tag4", "Global"}}, - /*expected_value=*/62.0}, + GaugeMetricCase{ + /*metric_name=*/"metric_gauge_test", + /*record_value=*/62.0, + /*record_tags=*/ + {{stats::TagKeyType::Register("Tag1"), "Value3"}, + {stats::TagKeyType::Register("Tag2"), "Value3"}}, + /*global_tags=*/ + { + {stats::TagKeyType::Register("Tag4"), + "Global"} // Tag4 not registered in metric definition + }, + /*expected_tags=*/ + {{"Tag1", "Value3"}, {"Tag2", "Value3"}, {"Tag3", ""}, {"Tag4", "Global"}}, + /*expected_value=*/62.0}, // Gauge metric where global tags overwrite record tags GaugeMetricCase{/*metric_name=*/"metric_gauge_test", /*record_value=*/72.0, @@ -230,7 +232,8 @@ INSTANTIATE_TEST_SUITE_P( /*global_tags=*/{}, // no global tags /*expected_tags=*/ {{"Tag1", "Value5"}, // unsupported tag dropped - {"Tag2", "Value5"}}, + {"Tag2", "Value5"}, + {"Tag3", ""}}, /*expected_value=*/82.0})); } // namespace observability From 7f61c01a6305a89e057a121e3769bad095bed385 Mon Sep 17 00:00:00 2001 From: Yen Hong <89289858+wyhong3103@users.noreply.github.com> Date: Fri, 12 Sep 2025 14:25:27 +0800 Subject: [PATCH 1181/1566] [train] Add hf trainer support for dictionary of datasets (#56484) To provide support for evaluating model via HuggingFace trainer using a dictionary of Ray datasets. This is to align with the `eval_dataset` argument type in `get_eval_dataloader` in [transformers](https://github.com/huggingface/transformers/blob/v4.56.1/src/transformers/trainer.py#L1196). Signed-off-by: yenhong.wong Co-authored-by: yenhong.wong Signed-off-by: Douglas Strodtman --- .../transformers/_transformers_utils.py | 13 ++- .../tests/test_torch_transformers_train.py | 68 +++++++++++- .../v2/tests/test_torch_transformers_train.py | 102 ++++++++++++++++++ 3 files changed, 175 insertions(+), 8 deletions(-) diff --git a/python/ray/train/huggingface/transformers/_transformers_utils.py b/python/ray/train/huggingface/transformers/_transformers_utils.py index b195a869f304..7f3eaeefac4a 100644 --- a/python/ray/train/huggingface/transformers/_transformers_utils.py +++ b/python/ray/train/huggingface/transformers/_transformers_utils.py @@ -2,7 +2,7 @@ import shutil from pathlib import Path from tempfile import TemporaryDirectory -from typing import Iterator, Optional, Type +from typing import Iterator, Optional, Type, Union from torch.utils.data import DataLoader, Dataset, IterableDataset @@ -126,12 +126,19 @@ def get_train_dataloader(self) -> DataLoader: return super().get_train_dataloader() def get_eval_dataloader( - self, eval_dataset: Optional[Dataset] = None + self, eval_dataset: Optional[Union[str, Dataset]] = None ) -> DataLoader: if eval_dataset is None: eval_dataset = self.eval_dataset - if isinstance(eval_dataset, _IterableFromIterator): + if ( + isinstance(eval_dataset, str) + and isinstance(self.eval_dataset, dict) + and isinstance(self.eval_dataset[eval_dataset], _IterableFromIterator) + ): + dataset = RayTorchIterableDataset(self.eval_dataset[eval_dataset]) + return DataLoader(dataset, batch_size=1, collate_fn=lambda x: x[0]) + elif isinstance(eval_dataset, _IterableFromIterator): dataset = RayTorchIterableDataset(eval_dataset) return DataLoader(dataset, batch_size=1, collate_fn=lambda x: x[0]) else: diff --git a/python/ray/train/tests/test_torch_transformers_train.py b/python/ray/train/tests/test_torch_transformers_train.py index 94eb03715dea..70b67ec3883e 100644 --- a/python/ray/train/tests/test_torch_transformers_train.py +++ b/python/ray/train/tests/test_torch_transformers_train.py @@ -55,6 +55,7 @@ def ray_start_8_cpus(): "save_steps": None, "logging_steps": None, "no_cuda": False, + "use_dict_eval_datasets": False, }, "steps_gpu": { "evaluation_strategy": "steps", @@ -64,6 +65,7 @@ def ray_start_8_cpus(): "save_steps": STEPS_PER_EPOCH * 2, "logging_steps": 1, "no_cuda": False, + "use_dict_eval_datasets": False, }, "steps_cpu": { "evaluation_strategy": "steps", @@ -73,6 +75,7 @@ def ray_start_8_cpus(): "save_steps": STEPS_PER_EPOCH, "logging_steps": 1, "no_cuda": True, + "use_dict_eval_datasets": False, }, } @@ -81,14 +84,27 @@ def train_func(config): # Datasets if config["use_ray_data"]: train_ds_shard = ray.train.get_dataset_shard("train") - eval_ds_shard = ray.train.get_dataset_shard("eval") - train_dataset = train_ds_shard.iter_torch_batches( batch_size=BATCH_SIZE_PER_WORKER ) - eval_dataset = eval_ds_shard.iter_torch_batches( - batch_size=BATCH_SIZE_PER_WORKER - ) + if config["use_dict_eval_datasets"]: + eval_ds_shard_1 = ray.train.get_dataset_shard("eval_1") + eval_ds_shard_2 = ray.train.get_dataset_shard("eval_2") + + eval_dataset = { + "eval_1": eval_ds_shard_1.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ), + "eval_2": eval_ds_shard_2.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ), + } + else: + eval_ds_shard = ray.train.get_dataset_shard("eval") + + eval_dataset = eval_ds_shard.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ) else: train_df = pd.read_json(train_data) validation_df = pd.read_json(validation_data) @@ -201,6 +217,48 @@ def test_e2e_ray_data(ray_start_6_cpus_2_gpus, config_id): assert "eval_loss" in result.metrics +@pytest.mark.parametrize("config_id", ["steps_gpu", "steps_cpu"]) +def test_e2e_dict_eval_ray_data(ray_start_6_cpus_2_gpus, config_id): + train_loop_config = CONFIGURATIONS[config_id] + + # Must specify `max_steps` for Iterable Dataset + train_loop_config["use_ray_data"] = True + train_loop_config["use_dict_eval_datasets"] = True + train_loop_config["max_steps"] = MAX_STEPS + + # Calculate the num of Ray training iterations + num_iterations = MAX_STEPS // train_loop_config["save_steps"] + + train_df = pd.read_json(train_data) + validation_df = pd.read_json(validation_data) + + ray_train_ds = ray.data.from_pandas(train_df) + ray_eval_ds_1 = ray.data.from_pandas(validation_df) + ray_eval_ds_2 = ray.data.from_pandas(validation_df) + + use_gpu = not train_loop_config["no_cuda"] + + trainer = TorchTrainer( + train_func, + train_loop_config=train_loop_config, + scaling_config=ScalingConfig(num_workers=NUM_WORKERS, use_gpu=use_gpu), + datasets={ + "train": ray_train_ds, + "eval_1": ray_eval_ds_1, + "eval_2": ray_eval_ds_2, + }, + ) + result = trainer.fit() + + assert result.metrics["step"] == MAX_STEPS + assert result.metrics["training_iteration"] == num_iterations + assert result.checkpoint + assert isinstance(result.checkpoint, Checkpoint) + assert len(result.best_checkpoints) == num_iterations + assert "eval_eval_1_loss" in result.metrics + assert "eval_eval_2_loss" in result.metrics + + # Tests if Ray Tune works correctly. def test_tune(ray_start_8_cpus): train_loop_config = CONFIGURATIONS["steps_cpu"] diff --git a/python/ray/train/v2/tests/test_torch_transformers_train.py b/python/ray/train/v2/tests/test_torch_transformers_train.py index 1484aef66893..fad84fe4f693 100644 --- a/python/ray/train/v2/tests/test_torch_transformers_train.py +++ b/python/ray/train/v2/tests/test_torch_transformers_train.py @@ -303,6 +303,108 @@ def train_func(config): assert "eval_loss" in result.metrics +@pytest.mark.parametrize("config_id", ["steps_cpu"]) +def test_e2e_dict_eval_ray_data(ray_start_6_cpus_2_gpus, config_id): + def train_func(config): + # Datasets + if config["use_ray_data"]: + train_ds_shard = ray.train.get_dataset_shard("train") + eval_ds_shard_1 = ray.train.get_dataset_shard("eval_1") + eval_ds_shard_2 = ray.train.get_dataset_shard("eval_2") + + train_dataset = train_ds_shard.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ) + eval_dataset = { + "eval_1": eval_ds_shard_1.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ), + "eval_2": eval_ds_shard_2.iter_torch_batches( + batch_size=BATCH_SIZE_PER_WORKER + ), + } + else: + train_df = pd.read_json(train_data) + validation_df = pd.read_json(validation_data) + + train_dataset = Dataset.from_pandas(train_df) + eval_dataset = Dataset.from_pandas(validation_df) + + # Model + model_config = AutoConfig.from_pretrained(MODEL_NAME) + model = AutoModelForCausalLM.from_config(model_config) + + # HF Transformers Trainer + training_args = TrainingArguments( + f"{MODEL_NAME}-wikitext2", + evaluation_strategy=config["evaluation_strategy"], + logging_strategy=config["logging_strategy"], + save_strategy=config["save_strategy"], + eval_steps=config["eval_steps"], + save_steps=config["save_steps"], + logging_steps=config["logging_steps"], + num_train_epochs=config.get("num_train_epochs", MAX_EPOCHS), + max_steps=config.get("max_steps", -1), + learning_rate=config.get("learning_rate", 2e-5), + per_device_train_batch_size=BATCH_SIZE_PER_WORKER, + per_device_eval_batch_size=BATCH_SIZE_PER_WORKER, + weight_decay=0.01, + disable_tqdm=True, + no_cuda=config["no_cuda"], + report_to="none", + ) + trainer = Trainer( + model=model, + args=training_args, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + ) + + # Report to Ray Train + trainer.add_callback(RayTrainReportCallback()) + trainer = prepare_trainer(trainer) + + # Start Training + trainer.train() + + train_loop_config = CONFIGURATIONS[config_id] + + # Must specify `max_steps` for Iterable Dataset + train_loop_config["use_ray_data"] = True + train_loop_config["max_steps"] = MAX_STEPS + + # Calculate the num of Ray training iterations + num_iterations = MAX_STEPS // train_loop_config["save_steps"] + + train_df = pd.read_json(train_data) + validation_df = pd.read_json(validation_data) + + ray_train_ds = ray.data.from_pandas(train_df) + ray_eval_ds_1 = ray.data.from_pandas(validation_df) + ray_eval_ds_2 = ray.data.from_pandas(validation_df) + + use_gpu = not train_loop_config["no_cuda"] + + trainer = TorchTrainer( + train_func, + train_loop_config=train_loop_config, + scaling_config=ScalingConfig(num_workers=NUM_WORKERS, use_gpu=use_gpu), + datasets={ + "train": ray_train_ds, + "eval_1": ray_eval_ds_1, + "eval_2": ray_eval_ds_2, + }, + ) + result = trainer.fit() + + assert result.metrics["step"] == MAX_STEPS + assert result.checkpoint + assert isinstance(result.checkpoint, Checkpoint) + assert len(result.best_checkpoints) == num_iterations + assert "eval_eval_1_loss" in result.metrics + assert "eval_eval_2_loss" in result.metrics + + if __name__ == "__main__": import sys From c3a79d6c789ae763ac0d3f723bf9e784c7b4ff07 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 11 Sep 2025 23:36:49 -0700 Subject: [PATCH 1182/1566] [Data] - Improve performance for `unify_schemas` (#55880) ## Why are these changes needed? Find all diverging schemas, coalesce them if possible, and do so recursively in the presence of structs. Perform a single pass to gather stats for all columns across all schemas. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- .../_internal/arrow_ops/transform_pyarrow.py | 330 ++++++++++-------- .../ray/data/tests/test_transform_pyarrow.py | 40 +-- 2 files changed, 188 insertions(+), 182 deletions(-) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index ae0c72389c07..d52f97eb9d41 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -1,5 +1,6 @@ import logging -from typing import TYPE_CHECKING, Dict, List, Optional, Union +from collections import defaultdict +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union import numpy as np from packaging.version import parse as parse_version @@ -10,6 +11,7 @@ from ray.air.util.tensor_extensions.arrow import ( MIN_PYARROW_VERSION_CHUNKED_ARRAY_TO_NUMPY_ZERO_COPY_ONLY, PYARROW_VERSION, + get_arrow_extension_tensor_types, ) try: @@ -155,180 +157,210 @@ def take_table( return table -def unify_schemas( - schemas: List["pyarrow.Schema"], *, promote_types: bool = False -) -> "pyarrow.Schema": - """Version of `pyarrow.unify_schemas()` which also handles checks for - variable-shaped tensors in the given schemas. - - This function scans all input schemas to identify columns that contain - variable-shaped tensors or objects. For tensor columns, it ensures the - use of appropriate tensor types (including variable-shaped tensor types). - For object columns, it uses a specific object type to accommodate any - objects present. Additionally, it handles columns with null-typed lists - by determining their actual types from the given schemas. - - Currently, it disallows the concatenation of tensor columns and - pickled object columsn for performance reasons. +def _reconcile_diverging_fields( + unique_schemas: List["pyarrow.Schema"], + promote_types: bool, +) -> Dict[str, Any]: """ - import pyarrow as pa - - from ray.air.util.object_extensions.arrow import ArrowPythonObjectType - from ray.air.util.tensor_extensions.arrow import ( - ArrowTensorType, - ArrowVariableShapedTensorType, - ) + Identify and reconcile fields whose presence or types differ across the provided schemas. - # The schema metadata might be unhashable. - # We need schemas to be hashable for unification - schemas = [schema.remove_metadata() for schema in schemas] - try: - if len(set(schemas)) == 1: - # Early exit because unifying can be expensive - return schemas.pop() - except Exception as e: - # Unsure if there are cases where schemas are NOT hashable - logger.debug(f"Failed to hash the schemas (for deduplication): {e}") + Args: + unique_schemas: List of PyArrow schemas to find diverging fields in. + promote_types: Whether to promote types. - schemas_to_unify = [] - schema_field_overrides = {} + Returns: + A dictionary of diverging fields with their reconciled types. + """ + from ray.air.util.object_extensions.arrow import ArrowPythonObjectType - # Rollup columns with opaque (null-typed) lists, to override types in - # the following for-loop. - cols_with_null_list = set() + reconciled_fields = {} + field_types = defaultdict(set) # field_name -> set of types seen so far + field_flags = defaultdict( + lambda: defaultdict(bool) + ) # field_name -> dict of boolean flags + + # Process schemas and reconcile on-the-fly + for schema in unique_schemas: + for field_name in schema.names: + if field_name in reconciled_fields: + # If the field has already been reconciled, skip it. + continue + + field_type = schema.field(field_name).type + field_types[field_name].add(field_type) + flags = field_flags[field_name] + + # Update flags + flags["has_object"] |= isinstance(field_type, ArrowPythonObjectType) + flags["has_tensor"] |= isinstance( + field_type, get_arrow_extension_tensor_types() + ) + flags["has_list"] |= pyarrow.types.is_list(field_type) + flags["has_null"] |= pyarrow.types.is_null(field_type) + flags["has_struct"] |= pyarrow.types.is_struct(field_type) - all_columns = set() - for schema in schemas: - for col_name in schema.names: - # Check for duplicate field names in this schema - if schema.names.count(col_name) > 1: - # This is broken for Pandas blocks and broken with the logic here + # Check for object-tensor conflict + if flags["has_object"] and flags["has_tensor"]: raise ValueError( - f"Schema {schema} has multiple fields with the same name: {col_name}" + f"Found columns with both objects and tensors: {field_name}" ) - col_type = schema.field(col_name).type - if pa.types.is_list(col_type) and pa.types.is_null(col_type.value_type): - cols_with_null_list.add(col_name) - all_columns.add(col_name) + # Reconcile immediately if it's a special type and if it's divergent. + if any(flags.values()) and len(field_types[field_name]) > 1: + reconciled_value = _reconcile_field( + non_null_types=field_types[field_name], + promote_types=promote_types, + ) + if reconciled_value is not None: + reconciled_fields[field_name] = reconciled_value + + return reconciled_fields + + +def _reconcile_field( + non_null_types: List[pyarrow.DataType], + promote_types: bool = False, +) -> Optional[pyarrow.DataType]: + """ + Reconcile a single divergent field across schemas. + + Returns reconciled type or None if default PyArrow handling is sufficient. + """ + from ray.air.util.object_extensions.arrow import ArrowPythonObjectType from ray.air.util.tensor_extensions.arrow import ( - get_arrow_extension_fixed_shape_tensor_types, + ArrowTensorType, + ArrowVariableShapedTensorType, get_arrow_extension_tensor_types, ) - arrow_tensor_types = get_arrow_extension_tensor_types() - arrow_fixed_shape_tensor_types = get_arrow_extension_fixed_shape_tensor_types() - - columns_with_objects = set() - columns_with_tensor_array = set() - columns_with_struct = set() - for col_name in all_columns: - for s in schemas: - if col_name in s.names: - if isinstance(s.field(col_name).type, ArrowPythonObjectType): - columns_with_objects.add(col_name) - if isinstance(s.field(col_name).type, arrow_tensor_types): - columns_with_tensor_array.add(col_name) - if isinstance(s.field(col_name).type, pa.StructType): - columns_with_struct.add(col_name) - - if len(columns_with_objects.intersection(columns_with_tensor_array)) > 0: - # This is supportable if we use object type, but it will be expensive - raise ValueError( - "Found columns with both objects and tensors: " - f"{columns_with_tensor_array.intersection(columns_with_objects)}" + if not non_null_types: + return None + + tensor_types = get_arrow_extension_tensor_types() + + # Handle special cases in priority order + + # 1. Tensor fields + tensor_field_types = [t for t in non_null_types if isinstance(t, tensor_types)] + if tensor_field_types: + needs_variable_shape = ArrowTensorType._need_variable_shaped_tensor_array( + tensor_field_types ) - for col_name in columns_with_tensor_array: - tensor_array_types = [ - s.field(col_name).type - for s in schemas - if col_name in s.names - and isinstance(s.field(col_name).type, arrow_tensor_types) - ] - # Check if we have missing tensor fields (some schemas don't have this field) - has_missing_fields = len(tensor_array_types) < len(schemas) - - # Convert to variable-shaped if needed or if we have missing fields - if ( - ArrowTensorType._need_variable_shaped_tensor_array(tensor_array_types) - or has_missing_fields - ): - if isinstance(tensor_array_types[0], ArrowVariableShapedTensorType): - new_type = tensor_array_types[0] - elif isinstance(tensor_array_types[0], arrow_fixed_shape_tensor_types): - new_type = ArrowVariableShapedTensorType( - dtype=tensor_array_types[0].scalar_type, - ndim=len(tensor_array_types[0].shape), - ) + if needs_variable_shape: + first_tensor = tensor_field_types[0] + if isinstance(first_tensor, ArrowVariableShapedTensorType): + return first_tensor else: - raise ValueError( - "Detected need for variable shaped tensor representation, " - f"but schema is not ArrayTensorType: {tensor_array_types[0]}" + # Convert fixed-shape to variable-shape + return ArrowVariableShapedTensorType( + dtype=first_tensor.scalar_type, ndim=len(first_tensor.shape) ) - schema_field_overrides[col_name] = new_type - - for col_name in columns_with_objects: - schema_field_overrides[col_name] = ArrowPythonObjectType() - for col_name in columns_with_struct: - field_types = [s.field(col_name).type for s in schemas] + # 2. Object fields + if any(isinstance(t, ArrowPythonObjectType) for t in non_null_types): + return ArrowPythonObjectType() - # Unify struct schemas + # 3. Struct fields (recursive unification) + struct_types = [t for t in non_null_types if pyarrow.types.is_struct(t)] + if struct_types: + # Convert struct types to schemas struct_schemas = [] - for t in field_types: - if t is not None and pa.types.is_struct(t): - struct_schemas.append(pa.schema(list(t))) - else: - struct_schemas.append(pa.schema([])) + for t in non_null_types: + if pyarrow.types.is_struct(t): + struct_schemas.append(pyarrow.schema(list(t))) + # Recursively unify + unified_struct = unify_schemas(struct_schemas, promote_types=promote_types) + return pyarrow.struct(list(unified_struct)) + + # 4. Null-typed list fields (Need this pyarrow < 14.0.0) + null_lists = [ + t + for t in non_null_types + if pyarrow.types.is_list(t) and pyarrow.types.is_null(t.value_type) + ] + if null_lists: + # Find first non-null list type + for t in non_null_types: + if not (pyarrow.types.is_list(t) and pyarrow.types.is_null(t.value_type)): + return t + # At this phase, we have no special types to reconcile, so return None. Arrow will fail to unify. + return None + + +def _unify_schemas_pyarrow( + schemas: List["pyarrow.Schema"], promote_types: bool = False +) -> "pyarrow.Schema": + """Wrapper for pyarrow.unify_schemas with version compatibility.""" + if get_pyarrow_version() < MIN_PYARROW_VERSION_TYPE_PROMOTION: + return pyarrow.unify_schemas(schemas) - unified_struct_schema = unify_schemas( - struct_schemas, promote_types=promote_types - ) + promote_options = "permissive" if promote_types else "default" + return pyarrow.unify_schemas(schemas, promote_options=promote_options) - schema_field_overrides[col_name] = pa.struct(list(unified_struct_schema)) - - if cols_with_null_list: - # For each opaque list column, iterate through all schemas until we find - # a valid value_type that can be used to override the column types in - # the following for-loop. - for col_name in cols_with_null_list: - for schema in schemas: - col_type = schema.field(col_name).type - if not pa.types.is_list(col_type) or not pa.types.is_null( - col_type.value_type - ): - schema_field_overrides[col_name] = col_type - break - - if schema_field_overrides: - # Go through all schemas and update the types of columns from the above loop. - for schema in schemas: - for col_name, col_new_type in schema_field_overrides.items(): - if col_name in schema.names: - var_shaped_col = schema.field(col_name).with_type(col_new_type) - col_idx = schema.get_field_index(col_name) - schema = schema.set(col_idx, var_shaped_col) - schemas_to_unify.append(schema) - else: - schemas_to_unify = schemas - try: - if get_pyarrow_version() < MIN_PYARROW_VERSION_TYPE_PROMOTION: - return pyarrow.unify_schemas(schemas_to_unify) +def unify_schemas( + schemas: List["pyarrow.Schema"], *, promote_types: bool = False +) -> "pyarrow.Schema": + """ + Unify schemas handling Ray-specific types (tensors, objects, etc.). - # NOTE: By default type promotion (from "smaller" to "larger" types) is disabled, - # allowing only promotion b/w nullable and non-nullable ones - arrow_promote_types_mode = "permissive" if promote_types else "default" + Falls back to PyArrow's unify_schemas when possible, with custom + handling for tensor arrays, object types, and recursive struct unification. + """ + if not schemas: + raise ValueError("No schemas provided for unify_schemas") - return pyarrow.unify_schemas( - schemas_to_unify, promote_options=arrow_promote_types_mode - ) - except Exception as e: - schemas_str = "\n-----\n".join([str(s) for s in schemas_to_unify]) + # Deduplicate schemas. Calling this before PyArrow's unify_schemas is more efficient (100x faster). - logger.error(f"Failed to unify schemas: {schemas_str}", exc_info=e) + # Remove metadata for hashability + schemas[0].remove_metadata() + schemas_to_unify = [schemas[0]] + for schema in schemas[1:]: + schema.remove_metadata() + if not schema.equals(schemas[0]): + schemas_to_unify.append(schema) + pyarrow_exception = None + # If there is only one schema, return it + if len(schemas_to_unify) == 1: + return schemas_to_unify[0] + + # Try PyArrow's unification first, only reconcile for tensor fields + try: + return _unify_schemas_pyarrow(schemas_to_unify, promote_types) + except (pyarrow.lib.ArrowTypeError, pyarrow.lib.ArrowInvalid) as e: + # If we raise only on non tensor errors, it fails to unify PythonObjectType and pyarrow primitives. + # Look at test_pyarrow_conversion_error_handling for an example. + pyarrow_exception = e + pass + + # Reconcile diverging fields + overrides = _reconcile_diverging_fields(schemas_to_unify, promote_types) + + # At this point, we're not able to reconcile the fields, so raise the original exception. + if not overrides: + raise pyarrow_exception + + # Apply overrides to schemas + updated_schemas = [] + for schema in schemas_to_unify: + for name, new_type in overrides.items(): + try: + idx = schema.get_field_index(name) + field = schema.field(name).with_type(new_type) + schema = schema.set(idx, field) + except KeyError: + pass + updated_schemas.append(schema) + schemas_to_unify = updated_schemas + + # Final unification with overrides applied + try: + return _unify_schemas_pyarrow(schemas_to_unify, promote_types) + except Exception as e: + schemas_str = "\n-----\n".join(str(s) for s in schemas_to_unify) + logger.error(f"Failed to unify schemas: {schemas_str}", exc_info=e) raise diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index 9c253e4ea4d0..6cefc62ce113 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -572,22 +572,6 @@ def test_unify_schemas(unify_schemas_basic_schemas, unify_schemas_multicol_schem ) -def test_unify_schemas_null_typed_lists(unify_schemas_null_typed_lists_schemas): - """Test handling of null-typed lists (cols_with_null_list functionality).""" - schemas = unify_schemas_null_typed_lists_schemas - - # Should find valid value_type from schema2 and override - result = unify_schemas([schemas["null_list"], schemas["int_list"]]) - assert result == schemas["expected"] - - # Test with multiple schemas, some with null types - result = unify_schemas( - [schemas["null_list"], schemas["int_list"], schemas["string_list"]] - ) - # Should use the first non-null type found (int32) - assert result == schemas["expected"] - - def test_unify_schemas_object_types(unify_schemas_object_types_schemas): """Test handling of object types (columns_with_objects functionality).""" schemas = unify_schemas_object_types_schemas @@ -626,6 +610,10 @@ def test_unify_schemas_objects_and_tensors(unify_schemas_objects_and_tensors_sch unify_schemas(unify_schemas_objects_and_tensors_schemas) +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("17.0.0"), + reason="Requires PyArrow version 17 or higher", +) def test_unify_schemas_missing_tensor_fields( unify_schemas_missing_tensor_fields_schemas, ): @@ -2224,7 +2212,7 @@ def struct_with_null_tensor_values_expected(): "struct", pa.struct( [ - ("tensor", ArrowVariableShapedTensorType(pa.float32(), 2)), + ("tensor", ArrowTensorTypeV2((2,), pa.float32())), ("value", pa.int64()), ] ), @@ -2750,20 +2738,6 @@ def struct_variable_shaped_tensor_expected(): } -@pytest.fixture -def unify_schemas_null_typed_lists_schemas(): - """Fixture for null typed lists unify schemas test data.""" - schema1 = pa.schema([("list_col", pa.list_(pa.null()))]) - schema2 = pa.schema([("list_col", pa.list_(pa.int32()))]) - schema3 = pa.schema([("list_col", pa.list_(pa.string()))]) - return { - "null_list": schema1, - "int_list": schema2, - "string_list": schema3, - "expected": pa.schema([("list_col", pa.list_(pa.int32()))]), - } - - @pytest.fixture def unify_schemas_object_types_schemas(): """Fixture for object types unify schemas test data.""" @@ -2825,7 +2799,7 @@ def unify_schemas_missing_tensor_fields_schemas(): "struct", pa.struct( [ - ("tensor", ArrowVariableShapedTensorType(pa.int32(), 2)), + ("tensor", ArrowTensorType((2, 2), pa.int32())), ("value", pa.int64()), ] ), @@ -2887,7 +2861,7 @@ def unify_schemas_nested_struct_tensors_schemas(): [ ( "tensor", - ArrowVariableShapedTensorType(pa.float32(), 2), + ArrowTensorType((3, 3), pa.float32()), ), ("data", pa.string()), ] From 45e3eb6ae672bf1952a9d1673d843ce81586725e Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Fri, 12 Sep 2025 01:02:25 -0700 Subject: [PATCH 1183/1566] [Data] Add text embedding release test (#56459) ## Why are these changes needed? This PR adds a release test based on a real-user text embedding workload. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../autoscaling_cluster_compute.yaml | 21 +++ .../dataset/text_embedding/create_dataset.py | 102 ++++++++++++ .../fixed_size_cluster_compute.yaml | 21 +++ .../dataset/text_embedding/main.py | 149 ++++++++++++++++++ .../byod/byod_install_text_embedding.sh | 6 + release/release_data_tests.yaml | 31 ++++ 6 files changed, 330 insertions(+) create mode 100644 release/nightly_tests/dataset/text_embedding/autoscaling_cluster_compute.yaml create mode 100644 release/nightly_tests/dataset/text_embedding/create_dataset.py create mode 100644 release/nightly_tests/dataset/text_embedding/fixed_size_cluster_compute.yaml create mode 100644 release/nightly_tests/dataset/text_embedding/main.py create mode 100755 release/ray_release/byod/byod_install_text_embedding.sh diff --git a/release/nightly_tests/dataset/text_embedding/autoscaling_cluster_compute.yaml b/release/nightly_tests/dataset/text_embedding/autoscaling_cluster_compute.yaml new file mode 100644 index 000000000000..b601a66dc843 --- /dev/null +++ b/release/nightly_tests/dataset/text_embedding/autoscaling_cluster_compute.yaml @@ -0,0 +1,21 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: r6a.8xlarge + resources: + cpu: 0 + +worker_node_types: + - name: gpu-node + instance_type: g5.xlarge + min_workers: 1 + max_workers: 100 + use_spot: false + +flags: + allow-cross-zone-autoscaling: true diff --git a/release/nightly_tests/dataset/text_embedding/create_dataset.py b/release/nightly_tests/dataset/text_embedding/create_dataset.py new file mode 100644 index 000000000000..e8e619d88e19 --- /dev/null +++ b/release/nightly_tests/dataset/text_embedding/create_dataset.py @@ -0,0 +1,102 @@ +import pyarrow as pa +import uuid +import random +import string +import ray +import pyarrow.parquet as pq +from tqdm import tqdm + +STRING_PLACEHOLDER = "" +UUID_PLACEHOLDER = uuid.UUID(int=0) +INT_PLACEHOLDER = 0 + +TARGET_SIZE_BYTES = 4096 +NUM_FILES = 50 + +SCHEMA = pa.schema( + [ + ("metadata00", pa.string()), + ("metadata01", pa.list_(pa.binary(16))), + ("metadata02", pa.string()), + ("metadata03", pa.uint64()), + ("metadata04", pa.list_(pa.binary(16))), + ("metadata05", pa.list_(pa.binary(16))), + ("metadata06", pa.binary(16)), + ("metadata07", pa.string()), + ("metadata08", pa.binary(16)), + ("metadata09", pa.uint64()), + ("metadata10", pa.binary(16)), + ("metadata11", pa.list_(pa.binary(16))), + ("metadata12", pa.uint64()), + ("metadata13", pa.uint64()), + ("metadata14", pa.list_(pa.binary(16))), + ("span_text", pa.string()), + ("metadata15", pa.binary(16)), + ("metadata16", pa.string()), + ("metadata17", pa.list_(pa.binary(16))), + ("metadata18", pa.list_(pa.binary(16))), + ] +) + + +def random_word(min_len=3, max_len=8): + length = random.randint(min_len, max_len) + return "".join(random.choices(string.ascii_lowercase, k=length)) + + +def create_random_sentence(): + sentence = "" + while len(sentence.encode("utf-8")) < TARGET_SIZE_BYTES: + word = random_word() + sentence += word + " " # space between words + + # Trim to exact size + sentence_bytes = sentence.encode("utf-8")[:TARGET_SIZE_BYTES] + return sentence_bytes.decode("utf-8", errors="ignore") + + +def create_row(): + return { + "metadata00": STRING_PLACEHOLDER, + "metadata01": [UUID_PLACEHOLDER.bytes], + "metadata02": STRING_PLACEHOLDER, + "metadata03": INT_PLACEHOLDER, + "metadata04": [UUID_PLACEHOLDER.bytes], + "metadata05": [UUID_PLACEHOLDER.bytes], + "metadata06": UUID_PLACEHOLDER.bytes, + "metadata07": STRING_PLACEHOLDER, + "metadata08": UUID_PLACEHOLDER.bytes, + "metadata09": INT_PLACEHOLDER, + "metadata10": UUID_PLACEHOLDER.bytes, + "metadata11": [UUID_PLACEHOLDER.bytes], + "metadata12": INT_PLACEHOLDER, + "metadata13": None if random.random() < 0.01 else INT_PLACEHOLDER, + "metadata14": [UUID_PLACEHOLDER.bytes], + "span_text": create_random_sentence(), + "metadata15": UUID_PLACEHOLDER.bytes, + "metadata16": STRING_PLACEHOLDER, + "metadata17": [UUID_PLACEHOLDER.bytes], + "metadata18": [UUID_PLACEHOLDER.bytes], + } + + +@ray.remote +def write_table(i: int): + rows = [] + for _ in range(20_000): + rows.append(create_row()) + + table = pa.Table.from_pylist(rows, schema=SCHEMA) + pq.write_table( + table, f"s3://ray-benchmark-data-internal-us-west-2/text-spans/{i}.parquet" + ) + + +refs = [write_table.remote(i) for i in range(NUM_FILES)] + +pbar = tqdm(total=len(refs)) +while refs: + ready, refs = ray.wait(refs, num_returns=1) + pbar.update(len(ready)) + +pbar.close() diff --git a/release/nightly_tests/dataset/text_embedding/fixed_size_cluster_compute.yaml b/release/nightly_tests/dataset/text_embedding/fixed_size_cluster_compute.yaml new file mode 100644 index 000000000000..eb51bba4b5ab --- /dev/null +++ b/release/nightly_tests/dataset/text_embedding/fixed_size_cluster_compute.yaml @@ -0,0 +1,21 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-west-2 + +advanced_configurations_json: + IamInstanceProfile: {"Name": "ray-autoscaler-v1"} + +head_node_type: + name: head-node + instance_type: r6a.8xlarge + resources: + cpu: 0 + +worker_node_types: + - name: gpu-node + instance_type: g5.xlarge + min_workers: 100 + max_workers: 100 + use_spot: false + +flags: + allow-cross-zone-autoscaling: true diff --git a/release/nightly_tests/dataset/text_embedding/main.py b/release/nightly_tests/dataset/text_embedding/main.py new file mode 100644 index 000000000000..a74e02657003 --- /dev/null +++ b/release/nightly_tests/dataset/text_embedding/main.py @@ -0,0 +1,149 @@ +import argparse +from typing import Dict +import uuid +import boto3 +import json + +import numpy as np +import pyarrow as pa +from sentence_transformers import SentenceTransformer +import torch + +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +from ray._private.test_utils import EC2InstanceTerminatorWithGracePeriod +import ray + +from benchmark import Benchmark + +BATCH_SIZE = 128 + +# This dataset has 50 files, each with 20,000 rows of <1024-token text spans. It +# includes one empty Parquet file and some nulls. See `create_dataset.py` for details. +INPUT_PREFIX = "s3://ray-benchmark-data-internal-us-west-2/text-spans" +# Add a random prefix to avoid conflicts between different runs. +OUTPUT_PREFIX = f"s3://ray-data-write-benchmark/{uuid.uuid4().hex}" + +# These are used to fetch the HF token from AWS Secrets Manager. +SECRET_REGION_NAME = "us-west-2" +SECRET_ID = ( + "arn:aws:secretsmanager:us-west-2:188439194153:secret:release_test_hf_token-p3Lcqy" +) + +# FIXME: We need to explicitly define the schema and specify lists of variable-size +# binaries because Ray Data can't handle lists of fixed-size binaries. +SCHEMA = pa.schema( + [ + ("metadata00", pa.string()), + ("metadata01", pa.list_(pa.binary())), + ("metadata02", pa.string()), + ("metadata03", pa.uint64()), + ("metadata04", pa.list_(pa.binary())), + ("metadata05", pa.list_(pa.binary())), + ("metadata06", pa.binary()), + ("metadata07", pa.string()), + ("metadata08", pa.binary()), + ("metadata09", pa.uint64()), + ("metadata10", pa.binary()), + ("metadata11", pa.list_(pa.binary())), + ("metadata12", pa.uint64()), + ("metadata13", pa.uint64()), + ("metadata14", pa.list_(pa.binary())), + ("span_text", pa.string()), + ("metadata15", pa.binary()), + ("metadata16", pa.string()), + ("metadata17", pa.list_(pa.binary())), + ("metadata18", pa.list_(pa.binary())), + ] +) + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--inference-concurrency", + nargs=2, + type=int, + required=True, + help="The minimum and maximum concurrency for the inference operator.", + ) + parser.add_argument( + "--chaos", + action="store_true", + help=( + "Whether to enable chaos. If set, this script terminates one worker node " + "every minute with a grace period." + ), + ) + return parser.parse_args() + + +def main(args: argparse.Namespace): + benchmark = Benchmark() + + if args.chaos: + start_chaos() + + def benchmark_fn(): + ( + ray.data.read_parquet(INPUT_PREFIX, schema=SCHEMA) + .repartition(target_num_rows_per_block=256) + .map_batches( + EncodingUDF, + concurrency=tuple(args.inference_concurrency), + num_gpus=1, + batch_size=BATCH_SIZE, + fn_constructor_kwargs={"model": "BAAI/bge-m3", "token": get_hf_token()}, + ) + .write_parquet(OUTPUT_PREFIX, mode="overwrite") + ) + + benchmark.run_fn("main", benchmark_fn) + benchmark.write_result() + + +def start_chaos(): + assert ray.is_initialized() + + head_node_id = ray.get_runtime_context().get_node_id() + scheduling_strategy = NodeAffinitySchedulingStrategy( + node_id=head_node_id, soft=False + ) + resource_killer = EC2InstanceTerminatorWithGracePeriod.options( + scheduling_strategy=scheduling_strategy + ).remote(head_node_id, max_to_kill=None) + + ray.get(resource_killer.ready.remote()) + + resource_killer.run.remote() + + +class EncodingUDF: + def __init__(self, model: str, token: str): + device = "cuda" if torch.cuda.is_available() else "cpu" + self._model = SentenceTransformer( + model, + device=device, + token=token, + model_kwargs={"torch_dtype": torch.bfloat16}, + ) + + def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: + batch["vector"] = self._model.encode( + batch["span_text"], batch_size=BATCH_SIZE, convert_to_numpy=True + ) + return batch + + +def get_hf_token() -> str: + session = boto3.session.Session() + client = session.client( + service_name="secretsmanager", region_name=SECRET_REGION_NAME + ) + secret_string = client.get_secret_value(SecretId=SECRET_ID)["SecretString"] + return json.loads(secret_string)["HF_TOKEN"] + + +if __name__ == "__main__": + ray.init() + args = parse_args() + main(args) diff --git a/release/ray_release/byod/byod_install_text_embedding.sh b/release/ray_release/byod/byod_install_text_embedding.sh new file mode 100755 index 000000000000..7bb9a5d9f4fa --- /dev/null +++ b/release/ray_release/byod/byod_install_text_embedding.sh @@ -0,0 +1,6 @@ +#!/bin/bash +# shellcheck disable=SC2102 + +set -exo pipefail + +pip3 install --no-cache-dir --upgrade-strategy only-if-needed sentence-transformers==5.1.0 torch==2.8.0 diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 9572ae6b2840..c9c8cc442456 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -580,6 +580,37 @@ timeout: 3600 script: python batch_inference_hetero/main.py {{args}} +- name: text_embedding_{{case}} + frequency: manual + + matrix: + setup: + case: [] + cluster_type: [] + args: [] + adjustments: + - with: + case: fixed_size + cluster_type: fixed_size + args: --inference-concurrency 100 100 + - with: + case: autoscaling + cluster_type: autoscaling + args: --inference-concurrency 1 100 + - with: + case: fixed_size_chaos + cluster_type: fixed_size + args: --inference-concurrency 100 100 --chaos + + cluster: + cluster_compute: text_embedding/{{cluster_type}}_cluster_compute.yaml + byod: + type: cu123 + post_build_script: byod_install_text_embedding.sh + + run: + timeout: 3600 + script: python text_embedding/main.py {{args}} ############## # TPCH Queries From 9cca08c08f8786dcfd0f5c0334df10a7502d3019 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 12 Sep 2025 06:34:07 -0700 Subject: [PATCH 1184/1566] [deps] changing compile llm requirements image (#56172) Using manylinux image with all python versions installed for llm compilation This will be used for raydepsets building passing build here: https://buildkite.com/ray-project/microcheck/builds/25418 --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .buildkite/dependencies.rayci.yml | 5 +++-- ci/compile_llm_requirements.sh | 7 ------- ci/test_compile_llm_requirements.sh | 2 +- 3 files changed, 4 insertions(+), 10 deletions(-) diff --git a/.buildkite/dependencies.rayci.yml b/.buildkite/dependencies.rayci.yml index 97f96c3e752b..002b0899d4ed 100644 --- a/.buildkite/dependencies.rayci.yml +++ b/.buildkite/dependencies.rayci.yml @@ -24,5 +24,6 @@ steps: tags: always instance_type: small command: ./ci/test_compile_llm_requirements.sh - job_env: oss-ci-base_test-py3.11 - depends_on: oss-ci-base_test-multipy + job_env: manylinux + depends_on: + - manylinux diff --git a/ci/compile_llm_requirements.sh b/ci/compile_llm_requirements.sh index 2b3c0de1cb04..cf71563bf47c 100755 --- a/ci/compile_llm_requirements.sh +++ b/ci/compile_llm_requirements.sh @@ -4,13 +4,6 @@ set -euo pipefail CONFIG_PATH="${1:-ci/raydepsets/rayllm.depsets.yaml}" -PYTHON_CODE="$(python -c "import sys; v=sys.version_info; print(f'py{v.major}{v.minor}')")" -if [[ "${PYTHON_CODE}" != "py311" ]]; then - echo "--- Python version is not 3.11" - echo "--- Current Python version: ${PYTHON_CODE}" - exit 1 -fi - mkdir -p /tmp/ray-deps # Remove the GPU constraints diff --git a/ci/test_compile_llm_requirements.sh b/ci/test_compile_llm_requirements.sh index ee2ae90126f4..7be0634145b8 100755 --- a/ci/test_compile_llm_requirements.sh +++ b/ci/test_compile_llm_requirements.sh @@ -35,7 +35,7 @@ done FAILED=0 for LOCK_TYPE in "${LOCK_TYPES[@]}"; do for VARIANT in "${VARIANTS[@]}"; do - diff --color -u ./python/deplocks/llm/"${LOCK_TYPE}"_py311_"${VARIANT}".lock "$TEMP_DIR/${LOCK_TYPE}_py311_${VARIANT}_backup.lock" || { + diff -u ./python/deplocks/llm/"${LOCK_TYPE}"_py311_"${VARIANT}".lock "$TEMP_DIR/${LOCK_TYPE}_py311_${VARIANT}_backup.lock" || { echo "${LOCK_TYPE}_py311_${VARIANT}.lock is not up to date. Please download it from Artifacts tab and git push the changes." FAILED=1 } From 9f6c73e9453ddcf17366d37a98856ef1d583eb3d Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 12 Sep 2025 09:50:13 -0700 Subject: [PATCH 1185/1566] [data] large schema release test (#56353) ## Why are these changes needed? Ray data has been experiencing slowdowns with large schemas. In practice, we unify schemas from blocks into a one big schema. This schema unification can take a lot of time, so here's release test so that this doesn't happen again. ### Dataset Basically there is one paramter: datatype, which will unify across either - tensors - primitives (ie, ints) - objects - nested structs Each dataset contains about 500-600Mbs of data, except for objects, which contain about 150Mb (this is because their pickle bloat is big). Furthermore, each column contains 500 character. ### Stats - tensors: 45 seconds - primitives: 15 seconds - objects: 30 seconds - nested structs: 30 seconds wide schema generation script: https://gist.github.com/iamjustinhsu/3352100cd18f720f32f2ca58dd9b6108 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../dataset/wide_schema_pipeline_benchmark.py | 57 +++++++++++++++++++ release/release_data_tests.yaml | 19 +++++++ 2 files changed, 76 insertions(+) create mode 100644 release/nightly_tests/dataset/wide_schema_pipeline_benchmark.py diff --git a/release/nightly_tests/dataset/wide_schema_pipeline_benchmark.py b/release/nightly_tests/dataset/wide_schema_pipeline_benchmark.py new file mode 100644 index 000000000000..373afb23e55f --- /dev/null +++ b/release/nightly_tests/dataset/wide_schema_pipeline_benchmark.py @@ -0,0 +1,57 @@ +import argparse +from typing import Dict, Any + +import ray +from benchmark import Benchmark + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description="Wide schema pipeline benchmark") + parser.add_argument( + "--data-type", + choices=["primitives", "tensors", "objects", "nested_structs"], + default="primitives", + help="Type of pre-generated dataset to benchmark", + ) + + return parser.parse_args() + + +def main(args: argparse.Namespace) -> None: + benchmark = Benchmark() + + # Each dataset contains about 500-600Mbs of data, except for objects, + # which contain about 150Mb (this is because their pickle bloat is big). + # Furthermore, the schema contains 5000 fields, and each column contains + # 500 characters. + input_path = ( + f"s3://ray-benchmark-data-internal-us-west-2/wide_schema/{args.data_type}" + ) + + print(f"Using pre-generated dataset: {input_path}") + + # Run the pipeline benchmark (TIMED) + def run_pipeline() -> Dict[str, Any]: + """Run the data pipeline: read -> map_batches -> write""" + ds = ray.data.read_parquet(input_path) + + for _ in ds.iter_internal_ref_bundles(): + pass + + # Get dataset stats for reporting + actual_num_columns = len(ds.schema().base_schema) + + return { + "num_columns": actual_num_columns, + "data_type": args.data_type, + "input_path": input_path, + } + + # Run the timed benchmark + benchmark.run_fn("wide_schema_pipeline", run_pipeline) + benchmark.write_result() + + +if __name__ == "__main__": + args = parse_args() + main(args) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index c9c8cc442456..9906afcad56f 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -240,6 +240,25 @@ --join_type {{join_type}} --num_partitions 50 +############### +# Wide Schema tests +############### + +- name: wide_schema_pipeline_{{data_type}} + + cluster: + cluster_compute: fixed_size_cpu_compute.yaml + + matrix: + setup: + data_type: [primitives, tensors, objects, nested_structs] + + run: + timeout: 300 + script: > + python wide_schema_pipeline_benchmark.py + --data-type {{data_type}} + ####################### # Streaming split tests ####################### From 0c9b1997ebbfceb766aca6c5dcf5b4f52a008559 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 12 Sep 2025 10:01:11 -0700 Subject: [PATCH 1186/1566] [core][rdt] Wait on nccl id with event (#56322) I'd see concerning logs saying `The NCCL ID has not been set yet` when running gpu objects code with nccl. Looks like we have a loop with a 1 second sleep to try to get the nccl id. Creating a new `wait_and_get_id` with an asyncio condition so we don't have to have that sleep loop with the scary log. I'd also see logs that say `Failed to free actor object` but it's always because the actor's often dead by the time the driver tries to free at the end. We're not handling rpc failures right now for gpu objects, so just turning it down to an info log so it doesn't look as scary to a user. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../collective_group/nccl_collective_group.py | 19 ++++++------------- python/ray/util/collective/util.py | 12 ++++++++++-- 2 files changed, 16 insertions(+), 15 deletions(-) diff --git a/python/ray/util/collective/collective_group/nccl_collective_group.py b/python/ray/util/collective/collective_group/nccl_collective_group.py index 5f7de1cbc318..f866b70a9c1e 100644 --- a/python/ray/util/collective/collective_group/nccl_collective_group.py +++ b/python/ray/util/collective/collective_group/nccl_collective_group.py @@ -108,19 +108,12 @@ def get_nccl_id(self, timeout_s=180): """ if not self._store: raise ValueError("Rendezvous store is not setup.") - uid = None - timeout_delta = datetime.timedelta(seconds=timeout_s) - elapsed = datetime.timedelta(seconds=0) - start_time = datetime.datetime.now() - while elapsed < timeout_delta: - uid = ray.get(self._store.get_id.remote()) - if not uid: - time.sleep(1) - elapsed = datetime.datetime.now() - start_time - continue - break - if not uid: - raise RuntimeError("Unable to get the NCCLUniqueID from the store.") + try: + uid = ray.get(self._store.wait_and_get_id.remote(), timeout=timeout_s) + except ray.exceptions.GetTimeoutError: + raise RuntimeError( + f"Unable to get the NCCLUniqueID from the store within {timeout_s} seconds." + ) from None return uid diff --git a/python/ray/util/collective/util.py b/python/ray/util/collective/util.py index 84257fcbbfeb..e46d374d8f85 100644 --- a/python/ray/util/collective/util.py +++ b/python/ray/util/collective/util.py @@ -1,5 +1,6 @@ """Some utility class for Collectives.""" import logging +import asyncio import ray @@ -21,8 +22,9 @@ class NCCLUniqueIDStore: def __init__(self, name): self.name = name self.nccl_id = None + self.event = asyncio.Event() - def set_id(self, uid): + async def set_id(self, uid): """ Initialize the NCCL unique ID for this store. @@ -30,9 +32,15 @@ def set_id(self, uid): uid: the unique ID generated via the NCCL generate_communicator_id API. Returns: - None + The NCCL unique ID set. """ self.nccl_id = uid + self.event.set() + return uid + + async def wait_and_get_id(self): + """Wait for the NCCL unique ID to be set and return it.""" + await self.event.wait() return self.nccl_id def get_id(self): From 5a1841f91eb5a15cfc20f8f90ba3a07997fba7a0 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 12 Sep 2025 11:01:04 -0700 Subject: [PATCH 1187/1566] [core] Fix ruff for #56322 (#56488) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/util/collective/util.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/util/collective/util.py b/python/ray/util/collective/util.py index e46d374d8f85..02221995fd60 100644 --- a/python/ray/util/collective/util.py +++ b/python/ray/util/collective/util.py @@ -1,6 +1,6 @@ """Some utility class for Collectives.""" -import logging import asyncio +import logging import ray From cefeb1b042adb581c61b917f2b3235ed6f1c0d9a Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Fri, 12 Sep 2025 11:34:49 -0700 Subject: [PATCH 1188/1566] Revert "[llm] disable sglang release test (#55884)" (#56475) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index e4ff69657d36..bf7146fb92f9 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -4643,7 +4643,7 @@ pytest -sv test_batch_vllm.py - name: llm_batch_sglang_llama - frequency: manual # TODO(ray-llm): fix this test and re-enable it. + frequency: nightly python: "3.11" group: llm-batch team: llm From 411787e6eb39f35311ca4b843c56c6e5f84a5e2c Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Fri, 12 Sep 2025 13:17:00 -0700 Subject: [PATCH 1189/1566] add tests for replica ranks (#56120) Part 4 of https://github.com/ray-project/ray/pull/54938 Add integration tests for replica ranks --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/controller.py | 9 + python/ray/serve/tests/BUILD.bazel | 4 + python/ray/serve/tests/test_replica_ranks.py | 399 +++++++++++++++++++ 3 files changed, 412 insertions(+) create mode 100644 python/ray/serve/tests/test_replica_ranks.py diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index fa946121b37a..446406026976 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -1111,6 +1111,15 @@ def record_request_routing_info(self, info: RequestRoutingInfo): """ self.deployment_state_manager.record_request_routing_info(info) + def _get_replica_ranks_mapping(self, deployment_id: DeploymentID) -> Dict[str, int]: + """Get the current rank mapping for all replicas in a deployment. + Args: + deployment_id: The deployment ID to get ranks for. + Returns: + Dictionary mapping replica_id to rank. + """ + return self.deployment_state_manager._get_replica_ranks_mapping(deployment_id) + async def graceful_shutdown(self, wait: bool = True): """Set the shutting down flag on controller to signal shutdown in run_control_loop(). diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index 653b75363a2c..3a1cd3fde236 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -110,10 +110,14 @@ py_test_module_list( # Medium tests, don't run on windows. py_test_module_list( size = "medium", + env = { + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, files = [ "test_fastapi.py", "test_gcs_failure.py", "test_gradio.py", + "test_replica_ranks.py", ], tags = [ "exclusive", diff --git a/python/ray/serve/tests/test_replica_ranks.py b/python/ray/serve/tests/test_replica_ranks.py new file mode 100644 index 000000000000..c2f26b0754c7 --- /dev/null +++ b/python/ray/serve/tests/test_replica_ranks.py @@ -0,0 +1,399 @@ +import random +import sys +from typing import Dict, List + +import pytest + +import ray +from ray import serve +from ray._common.test_utils import SignalActor, wait_for_condition +from ray.serve._private.common import ( + DeploymentID, + DeploymentStatus, + ReplicaState, +) +from ray.serve._private.constants import ( + SERVE_CONTROLLER_NAME, + SERVE_DEFAULT_APP_NAME, + SERVE_NAMESPACE, +) +from ray.serve._private.controller import ServeController +from ray.serve._private.test_utils import ( + check_deployment_status, + check_num_replicas_eq, +) + + +def get_controller() -> ServeController: + """Get the current ServeController actor.""" + return ray.get_actor(SERVE_CONTROLLER_NAME, namespace=SERVE_NAMESPACE) + + +def get_replica_ranks(deployment_name: str) -> Dict[str, int]: + """Get the current rank mapping for all replicas in a deployment.""" + controller = get_controller() + deployment_id = DeploymentID(name=deployment_name, app_name=SERVE_DEFAULT_APP_NAME) + + # Use the public API method on the controller + return ray.get(controller._get_replica_ranks_mapping.remote(deployment_id)) + + +def get_running_replica_ids(deployment_name: str) -> List[str]: + """Get the replica IDs of running replicas for given deployment.""" + controller = get_controller() + deployment_id = DeploymentID(name=deployment_name, app_name=SERVE_DEFAULT_APP_NAME) + + replicas = ray.get( + controller._dump_replica_states_for_testing.remote(deployment_id) + ) + running_replicas = replicas.get([ReplicaState.RUNNING]) + return [replica.replica_id.unique_id for replica in running_replicas] + + +def check_rank_contiguity(ranks: Dict[str, int]) -> bool: + """Check that ranks form a contiguous sequence from 0 to N-1.""" + if not ranks: + return True + + rank_values = sorted(ranks.values()) + expected = list(range(len(rank_values))) + assert rank_values == expected, f"Expected {expected}, got {rank_values}" + return True + + +def check_rank_assignment_complete(deployment_name: str, expected_count: int) -> bool: + """Check that all replicas have been assigned ranks and they are contiguous.""" + try: + replica_ids = get_running_replica_ids(deployment_name) + ranks = get_replica_ranks(deployment_name) + + # Check all running replicas have ranks + for replica_id in replica_ids: + if replica_id not in ranks: + print(f"Replica {replica_id} not found in ranks: {ranks}") + return False + + # Check we have expected number of ranks + if len(ranks) != expected_count: + print(f"Expected {expected_count} ranks, got {len(ranks)}: {ranks}") + return False + + # Check ranks are contiguous + return check_rank_contiguity(ranks) + except Exception as e: + print(f"Error checking rank assignment: {e}") + return False + + +@pytest.mark.parametrize("num_replicas", [1, 3, 5]) +def test_basic_rank_assignment(serve_instance, num_replicas): + """Test basic rank assignment for different numbers of replicas.""" + + @serve.deployment(num_replicas=num_replicas) + class RankTracker: + def __init__(self): + self.replica_rank = None + self.world_size = None + + def __call__(self): + context = serve.get_replica_context() + self.replica_rank = context.rank + self.world_size = context.world_size + return { + "rank": self.replica_rank, + "world_size": self.world_size, + } + + handle = serve.run(RankTracker.bind()) + + # Wait for all replicas to be running and have ranks assigned + wait_for_condition( + lambda: check_rank_assignment_complete("RankTracker", num_replicas), + ) + + # Verify ranks are correctly assigned + ranks = get_replica_ranks("RankTracker") + assert len(ranks) == num_replicas + assert check_rank_contiguity(ranks) + + # Verify replicas can access their ranks via API + responses = [] + for _ in range(10): # Make multiple requests to hit different replicas + response = handle.remote().result() + responses.append(response) + + # Check that we got responses from all replicas + seen_ranks = set() + for response in responses: + assert response["world_size"] == num_replicas + if response["rank"] is not None: + seen_ranks.add(response["rank"]) + + # We should eventually see all ranks (though it might take multiple requests) + assert len(seen_ranks) <= num_replicas + for rank in seen_ranks: + assert 0 <= rank < num_replicas + + +def test_rank_assignment_with_autoscaling(serve_instance): + """Test rank assignment and reassignment during autoscaling.""" + signal_actor = SignalActor.remote() + + @serve.deployment( + autoscaling_config={ + "target_ongoing_requests": 1, + "metrics_interval_s": 0.1, + "min_replicas": 2, + "max_replicas": 4, + "upscale_delay_s": 1, + "downscale_delay_s": 1, + "look_back_period_s": 10, + }, + max_ongoing_requests=10, + ) + class AutoscalingRankTracker: + async def __call__(self): + await signal_actor.wait.remote() + context = serve.get_replica_context() + return { + "rank": context.rank, + "world_size": context.world_size, + } + + handle = serve.run(AutoscalingRankTracker.bind()) + + # Wait for initial replicas + wait_for_condition( + lambda: check_rank_assignment_complete("AutoscalingRankTracker", 2), + ) + + initial_ranks = get_replica_ranks("AutoscalingRankTracker") + assert len(initial_ranks) == 2 + assert check_rank_contiguity(initial_ranks) + + # Send concurrent requests to trigger autoscaling + _ = [handle.remote() for _ in range(10)] + + # Wait for scale-up to happen and ranks to be reassigned + wait_for_condition( + lambda: check_num_replicas_eq("AutoscalingRankTracker", 4, use_controller=True), + timeout=20, + ) + + # Check that ranks are still contiguous after scale-up + wait_for_condition( + lambda: check_rank_assignment_complete("AutoscalingRankTracker", 4), + ) + + scaled_ranks = get_replica_ranks("AutoscalingRankTracker") + assert len(scaled_ranks) == 4 + assert check_rank_contiguity(scaled_ranks) + + signal_actor.send.remote() + + # Wait for scale-down (no more load) + wait_for_condition( + lambda: check_num_replicas_eq("AutoscalingRankTracker", 2, use_controller=True), + ) + + # Check that ranks are reassigned and contiguous after scale-down + wait_for_condition( + lambda: check_rank_assignment_complete("AutoscalingRankTracker", 2), + ) + + final_ranks = get_replica_ranks("AutoscalingRankTracker") + assert len(final_ranks) == 2 + assert check_rank_contiguity(final_ranks) + + +def test_rank_persistence_across_controller_restart(serve_instance): + """Test that ranks are preserved across controller failures.""" + + @serve.deployment(num_replicas=3) + class PersistentRankTracker: + def __call__(self): + context = serve.get_replica_context() + return { + "rank": context.rank, + "world_size": context.world_size, + } + + serve.run(PersistentRankTracker.bind()) + + # Wait for all replicas to be running + wait_for_condition( + lambda: check_rank_assignment_complete("PersistentRankTracker", 3), + ) + + # Record initial ranks + initial_ranks = get_replica_ranks("PersistentRankTracker") + + assert len(initial_ranks) == 3 + assert check_rank_contiguity(initial_ranks) + + # Kill the controller to simulate failure + controller = get_controller() + ray.kill(controller, no_restart=False) + + # Wait for controller to be restarted and deployment to be recovered + wait_for_condition( + lambda: check_deployment_status( + "PersistentRankTracker", DeploymentStatus.HEALTHY + ), + ) + + # Wait for rank assignment to be restored + wait_for_condition( + lambda: check_rank_assignment_complete("PersistentRankTracker", 3), + ) + + # Check that ranks are preserved for surviving replicas + recovered_ranks = get_replica_ranks("PersistentRankTracker") + + assert len(recovered_ranks) == 3 + assert check_rank_contiguity(recovered_ranks) + + # Check that the recovered ranks are the same as the initial ranks + assert recovered_ranks == initial_ranks + + +def test_single_replica_deployment(serve_instance): + """Test rank assignment for single replica deployment.""" + + @serve.deployment(num_replicas=1) + class SingleReplicaTracker: + def __call__(self): + context = serve.get_replica_context() + return { + "rank": context.rank, + "world_size": context.world_size, + } + + handle = serve.run(SingleReplicaTracker.bind()) + + # Wait for deployment + wait_for_condition( + lambda: check_rank_assignment_complete("SingleReplicaTracker", 1), + ) + + # Verify single replica has rank 0 + ranks = get_replica_ranks("SingleReplicaTracker") + assert len(ranks) == 1 + assert 0 in ranks.values() + + # Verify API returns correct values + response = handle.remote().result() + assert response["rank"] == 0 + assert response["world_size"] == 1 + + +def test_multiple_deployments_independent_ranks(serve_instance): + """Test that different deployments have independent rank spaces.""" + + @serve.deployment(name="deployment1", num_replicas=2) + class RankTracker1: + def __call__(self): + context = serve.get_replica_context() + return { + "deployment": "deployment1", + "rank": context.rank, + "world_size": context.world_size, + } + + @serve.deployment(name="deployment2", num_replicas=3) + class RankTracker2: + def __init__(self, rank_tracker1): + self.rank_tracker1 = rank_tracker1 + + def __call__(self): + context = serve.get_replica_context() + return { + "deployment": "deployment2", + "rank": context.rank, + "world_size": context.world_size, + } + + serve.run(RankTracker2.bind(RankTracker1.bind())) + # Wait for both deployments + wait_for_condition( + lambda: check_rank_assignment_complete("deployment1", 2), + ) + wait_for_condition( + lambda: check_rank_assignment_complete("deployment2", 3), + ) + + # Check ranks are independent + ranks1 = get_replica_ranks("deployment1") + ranks2 = get_replica_ranks("deployment2") + + assert len(ranks1) == 2 + assert len(ranks2) == 3 + assert check_rank_contiguity(ranks1) + assert check_rank_contiguity(ranks2) + + # Both should have rank 0 (in their own space) + assert 0 in ranks1.values() + assert 0 in ranks2.values() + assert 1 in ranks1.values() + assert 1 in ranks2.values() + assert 2 in ranks2.values() # Only deployment2 should have rank 2 + + handle1 = serve.get_deployment_handle("deployment1", SERVE_DEFAULT_APP_NAME) + handle2 = serve.get_deployment_handle("deployment2", SERVE_DEFAULT_APP_NAME) + + response1 = handle1.remote().result() + response2 = handle2.remote().result() + assert response1["world_size"] == 2 + assert response2["world_size"] == 3 + + +def test_rank_stability_on_replica_death(serve_instance): + """Test that when one replica dies, other replicas keep their ranks.""" + + @serve.deployment(num_replicas=4) + class StableRankTracker: + def __call__(self): + return "hello" + + serve.run(StableRankTracker.bind()) + + # Wait for all replicas to be running and have ranks + wait_for_condition( + lambda: check_rank_assignment_complete("StableRankTracker", 4), + ) + + # get_replica_ranks + initial_ranks = get_replica_ranks("StableRankTracker") + initial_replica_ids = get_running_replica_ids("StableRankTracker") + assert len(initial_ranks) == 4 + assert check_rank_contiguity(initial_ranks) + + # kill the replica with rank 1 + random_replica_id_idx = random.choice(range(len(initial_replica_ids))) + killed_replica_id = initial_replica_ids[random_replica_id_idx] + replica_handle = ray.get_actor( + f"SERVE_REPLICA::default#StableRankTracker#{killed_replica_id}", + namespace=SERVE_NAMESPACE, + ) + ray.kill(replica_handle, no_restart=False) + + def _check(): + new_running_replica_ids = get_running_replica_ids("StableRankTracker") + assert len(new_running_replica_ids) == 4 + assert new_running_replica_ids != initial_replica_ids + return True + + wait_for_condition(_check, timeout=20) + + # get_replica_ranks + final_ranks = get_replica_ranks("StableRankTracker") + assert len(final_ranks) == 4 + assert check_rank_contiguity(final_ranks) + # for all replicas that is not killed, their ranks should be the same as before + for replica_id in initial_replica_ids: + if replica_id != killed_replica_id: + assert final_ranks[replica_id] == initial_ranks[replica_id] + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) From cc2264446e95328657c04715e5562a58bd19df65 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 12 Sep 2025 13:25:24 -0700 Subject: [PATCH 1190/1566] [data] add missing doc strings for DataContext (#56460) ## Why are these changes needed? https://github.com/iamjustinhsu/ray/pull/4 old PR ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- python/ray/data/context.py | 39 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 37 insertions(+), 2 deletions(-) diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 480192bfb986..30daaf92249a 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -364,6 +364,8 @@ class DataContext: to use. use_ray_tqdm: Whether to enable distributed tqdm. enable_progress_bars: Whether to enable progress bars. + enable_operator_progress_bars: Whether to enable progress bars for individual + operators during execution. enable_progress_bar_name_truncation: If True, the name of the progress bar (often the operator name) will be truncated if it exceeds `ProgressBar.MAX_NAME_LENGTH`. Otherwise, the full operator name is shown. @@ -379,7 +381,8 @@ class DataContext: retry. This follows same format as :ref:`retry_exceptions ` in Ray Core. Default to `False` to not retry on any errors. Set to `True` to retry all errors, or set to a list of errors to retry. - enable_op_resource_reservation: Whether to reserve resources for each operator. + op_resource_reservation_enabled: Whether to enable resource reservation for + operators to prevent resource contention. op_resource_reservation_ratio: The ratio of the total resources to reserve for each operator. max_errored_blocks: Max number of blocks that are allowed to have errors, @@ -409,10 +412,42 @@ class DataContext: retried_io_errors: A list of substrings of error messages that should trigger a retry when reading or writing files. This is useful for handling transient errors when reading from remote storage systems. + default_hash_shuffle_parallelism: Default parallelism level for hash-based + shuffle operations if the number of partitions is unspecifed. + max_hash_shuffle_aggregators: Maximum number of aggregating actors that can be + provisioned for hash-shuffle aggregations. + min_hash_shuffle_aggregator_wait_time_in_s: Minimum time to wait for hash + shuffle aggregators to become available, in seconds. + hash_shuffle_aggregator_health_warning_interval_s: Interval for health warning + checks on hash shuffle aggregators, in seconds. + max_hash_shuffle_finalization_batch_size: Maximum batch size for concurrent + hash-shuffle finalization tasks. If `None`, defaults to + `max_hash_shuffle_aggregators`. + join_operator_actor_num_cpus_per_partition_override: Override CPU allocation + per partition for join operator actors. + hash_shuffle_operator_actor_num_cpus_per_partition_override: Override CPU + allocation per partition for hash shuffle operator actors. + hash_aggregate_operator_actor_num_cpus_per_partition_override: Override CPU + allocation per partition for hash aggregate operator actors. + use_polars_sort: Whether to use Polars for tabular dataset sorting operations. enable_per_node_metrics: Enable per node metrics reporting for Ray Data, disabled by default. + override_object_store_memory_limit_fraction: Override the fraction of object + store memory limit. If `None`, uses Ray's default. memory_usage_poll_interval_s: The interval to poll the USS of map tasks. If `None`, map tasks won't record memory stats. + dataset_logger_id: Optional logger ID for dataset operations. If `None`, uses + default logging configuration. + issue_detectors_config: Configuration for issue detection and monitoring during + dataset operations. + downstream_capacity_backpressure_ratio: Ratio for downstream capacity + backpressure control. A higher ratio causes backpressure to kick-in + later. If `None`, this type of backpressure is disabled. + downstream_capacity_backpressure_max_queued_bundles: Maximum number of queued + bundles before applying backpressure. If `None`, no limit is applied. + enforce_schemas: Whether to enforce schema consistency across dataset operations. + pandas_block_ignore_metadata: Whether to ignore pandas metadata when converting + between Arrow and pandas formats for better type inference. """ # `None` means the block size is infinite. @@ -440,7 +475,7 @@ class DataContext: # Default hash-shuffle parallelism level (will be used when not # provided explicitly) - default_hash_shuffle_parallelism = DEFAULT_MIN_PARALLELISM + default_hash_shuffle_parallelism: int = DEFAULT_MIN_PARALLELISM # Max number of aggregating actors that could be provisioned # to perform aggregations on partitions produced during hash-shuffling From b9919570f1c8a47a2dd5008ac36a2aa1915ebb6a Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 12 Sep 2025 13:25:44 -0700 Subject: [PATCH 1191/1566] [data] Wrong name for Inqueue Panel (#56463) ## Why are these changes needed? as titled, verified these are the only ones misaligned, it should be inqueue, not outqueue ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../metrics/dashboards/data_dashboard_panels.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index 4b3dcf374536..fd50e1ba2312 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -583,8 +583,8 @@ EXTERNAL_INQUEUE_BLOCKS_PANEL = Panel( id=2, - title="Operator External OutQueue Size (Blocks)", - description="Number of blocks in operator's external output queue", + title="Operator External InQueue Size (Blocks)", + description="Number of blocks in operator's external input queue", unit="blocks", targets=[ Target( @@ -598,12 +598,12 @@ EXTERNAL_INQUEUE_BYTES_PANEL = Panel( id=27, - title="Operator External OutQueue Size (bytes)", - description="Byte size of blocks in operator's external output queue", + title="Operator External InQueue Size (bytes)", + description="Byte size of blocks in operator's external input queue", unit="bytes", targets=[ Target( - expr='sum(ray_data_num_external_inqueue_blocks{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', + expr='sum(ray_data_num_external_inqueue_bytes{{{global_filters}, operator=~"$Operator"}}) by (dataset, operator)', legend="Number of Bytes: {{dataset}}, {{operator}}", ) ], From c77bac8dd771caf88257b773b5b036d8e4c31531 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 12 Sep 2025 14:33:49 -0700 Subject: [PATCH 1192/1566] [core][rdt] Support tensor transfer from outside owners of actors (#56485) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 20 ++++++++++--------- python/ray/actor.py | 4 ++++ python/ray/includes/common.pxd | 5 +++-- python/ray/includes/libcoreworker.pxd | 1 + .../gpu_objects/test_gpu_objects_gloo.py | 20 +++++++++++++++++++ src/ray/common/task/task_spec.h | 8 +++++--- src/ray/core_worker/actor_handle.cc | 6 +++++- src/ray/core_worker/actor_handle.h | 3 +++ src/ray/core_worker/common.h | 3 +++ src/ray/core_worker/core_worker.cc | 1 + src/ray/protobuf/core_worker.proto | 2 ++ 11 files changed, 58 insertions(+), 15 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f5548d8edc40..995a417b472f 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -786,6 +786,7 @@ cdef int prepare_labels( if label_dict is None: return 0 + label_map[0].reserve(len(label_dict)) for key, value in label_dict.items(): if not isinstance(key, str): raise ValueError(f"Label key must be string, but got {type(key)}") @@ -802,6 +803,7 @@ cdef int prepare_label_selector( if label_selector_dict is None: return 0 + label_selector[0].reserve(len(label_selector_dict)) for key, value in label_selector_dict.items(): if not isinstance(key, str): raise ValueError(f"Label selector key type must be string, but got {type(key)}") @@ -829,6 +831,7 @@ cdef int prepare_resources( if resource_dict is None: raise ValueError("Must provide resource map.") + resource_map[0].reserve(len(resource_dict)) for key, value in resource_dict.items(): if not (isinstance(value, int) or isinstance(value, float)): raise ValueError("Resource quantities may only be ints or floats.") @@ -855,6 +858,7 @@ cdef c_vector[CFunctionDescriptor] prepare_function_descriptors(pyfd_list): c_vector[CFunctionDescriptor] fd_list CRayFunction ray_function + fd_list.reserve(len(pyfd_list)) for pyfd in pyfd_list: fd_list.push_back(CFunctionDescriptorBuilder.BuildPython( pyfd.module_name, pyfd.class_name, pyfd.function_name, b"")) @@ -866,17 +870,16 @@ cdef int prepare_actor_concurrency_groups( c_vector[CConcurrencyGroup] *concurrency_groups): cdef: - CConcurrencyGroup cg c_vector[CFunctionDescriptor] c_fd_list if concurrency_groups_dict is None: raise ValueError("Must provide it...") + concurrency_groups.reserve(len(concurrency_groups_dict)) for key, value in concurrency_groups_dict.items(): c_fd_list = prepare_function_descriptors(value["function_descriptors"]) - cg = CConcurrencyGroup( - key.encode("ascii"), value["max_concurrency"], c_fd_list) - concurrency_groups.push_back(cg) + concurrency_groups.push_back(CConcurrencyGroup( + key.encode("ascii"), value["max_concurrency"], move(c_fd_list))) return 1 @@ -3836,6 +3839,7 @@ cdef class CoreWorker: labels, label_selector, c_bool allow_out_of_order_execution, + c_bool enable_tensor_transport, ): cdef: CRayFunction ray_function @@ -3890,6 +3894,7 @@ cdef class CoreWorker: c_concurrency_groups, allow_out_of_order_execution, max_pending_calls, + enable_tensor_transport, enable_task_events, c_labels, c_label_selector), @@ -4169,6 +4174,7 @@ cdef class CoreWorker: max_task_retries = dereference(c_actor_handle).MaxTaskRetries() enable_task_events = dereference(c_actor_handle).EnableTaskEvents() allow_out_of_order_execution = dereference(c_actor_handle).AllowOutOfOrderExecution() + enable_tensor_transport = dereference(c_actor_handle).EnableTensorTransport() if language == Language.PYTHON: assert isinstance(actor_creation_function_descriptor, PythonFunctionDescriptor) @@ -4192,11 +4198,7 @@ cdef class CoreWorker: method_meta.retry_exceptions, method_meta.generator_backpressure_num_objects, # noqa method_meta.enable_task_events, - # TODO(swang): Pass - # enable_tensor_transport when - # serializing an ActorHandle and - # sending to another actor. - False, # enable_tensor_transport + enable_tensor_transport, method_meta.method_name_to_tensor_transport, actor_method_cpu, actor_creation_function_descriptor, diff --git a/python/ray/actor.py b/python/ray/actor.py index 64058ee0b728..de960f9c29aa 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -894,6 +894,7 @@ def __getstate__(self): "is_generator": self._is_generator, "generator_backpressure_num_objects": self._generator_backpressure_num_objects, # noqa "enable_task_events": self._enable_task_events, + "_tensor_transport": self._tensor_transport, } def __setstate__(self, state): @@ -907,6 +908,7 @@ def __setstate__(self, state): state["generator_backpressure_num_objects"], state["enable_task_events"], state["decorator"], + state["_tensor_transport"], ) @@ -1795,6 +1797,7 @@ def _remote(self, args=None, kwargs=None, **actor_options) -> ActorProxy[T]: labels=actor_options.get("_labels"), label_selector=actor_options.get("label_selector"), allow_out_of_order_execution=allow_out_of_order_execution, + enable_tensor_transport=meta.enable_tensor_transport, ) if _actor_launch_hook: @@ -1892,6 +1895,7 @@ class ActorHandle(Generic[T]): _ray_actor_creation_function_descriptor: The function descriptor of the actor creation task. _ray_allow_out_of_order_execution: Whether the actor can execute tasks out of order. + _ray_enable_tensor_transport: Whether tensor transport is enabled for this actor. """ def __init__( diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 95ca2488e59a..6493a100c47a 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -365,6 +365,7 @@ cdef extern from "ray/core_worker/common.h" nogil: const c_vector[CConcurrencyGroup] &concurrency_groups, c_bool allow_out_of_order_execution, int32_t max_pending_calls, + c_bool enable_tensor_transport, c_bool enable_task_events, const unordered_map[c_string, c_string] &labels, const unordered_map[c_string, c_string] &label_selector) @@ -765,9 +766,9 @@ cdef extern from "src/ray/protobuf/autoscaler.pb.h" nogil: cdef extern from "ray/common/task/task_spec.h" nogil: cdef cppclass CConcurrencyGroup "ray::ConcurrencyGroup": CConcurrencyGroup( - const c_string &name, + c_string name, uint32_t max_concurrency, - const c_vector[CFunctionDescriptor] &c_fds) + c_vector[CFunctionDescriptor] c_fds) CConcurrencyGroup() c_string GetName() const uint32_t GetMaxConcurrency() const diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 5a65b6b3cc8b..98ec283bbe81 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -117,6 +117,7 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int MaxTaskRetries() const c_bool EnableTaskEvents() const c_bool AllowOutOfOrderExecution() const + c_bool EnableTensorTransport() const cdef cppclass CCoreWorker "ray::core::CoreWorker": CWorkerType GetWorkerType() diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index ce0a2e4e9a90..ce723104736a 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -865,5 +865,25 @@ def test_duplicate_objectref_transfer(ray_start_regular): ), f"Results differ: result1={val1}, result2={val2}" +def test_transfer_from_not_actor_creator(ray_start_regular): + @ray.remote + class Actor: + @ray.method(tensor_transport="gloo") + def create(self): + return torch.tensor([1, 2, 3]) + + def consume(self, obj): + return obj + + def do_transfer(self, a1, a2): + create_collective_group([a1, a2], backend="torch_gloo") + return ray.get(a1.consume.remote(a2.create.remote())) + + actor = [Actor.remote() for _ in range(3)] + assert ray.get(actor[2].do_transfer.remote(actor[0], actor[1])) == pytest.approx( + torch.tensor([1, 2, 3]) + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 9fab88cc7438..3ead82c55128 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -48,10 +48,12 @@ struct ConcurrencyGroup { ConcurrencyGroup() = default; - ConcurrencyGroup(const std::string &name, + ConcurrencyGroup(std::string name, uint32_t max_concurrency, - const std::vector &fds) - : name_(name), max_concurrency_(max_concurrency), function_descriptors_(fds) {} + std::vector fds) + : name_(std::move(name)), + max_concurrency_(max_concurrency), + function_descriptors_(std::move(fds)) {} std::string GetName() const { return name_; } diff --git a/src/ray/core_worker/actor_handle.cc b/src/ray/core_worker/actor_handle.cc index b11065c8bffc..4f3e04875345 100644 --- a/src/ray/core_worker/actor_handle.cc +++ b/src/ray/core_worker/actor_handle.cc @@ -35,6 +35,7 @@ rpc::ActorHandle CreateInnerActorHandle( const std::string &ray_namespace, int32_t max_pending_calls, bool allow_out_of_order_execution, + bool enable_tensor_transport, std::optional enable_task_events, const std::unordered_map &labels) { rpc::ActorHandle inner; @@ -50,8 +51,9 @@ rpc::ActorHandle CreateInnerActorHandle( inner.set_max_task_retries(max_task_retries); inner.set_name(name); inner.set_ray_namespace(ray_namespace); - inner.set_allow_out_of_order_execution(allow_out_of_order_execution); inner.set_max_pending_calls(max_pending_calls); + inner.set_allow_out_of_order_execution(allow_out_of_order_execution); + inner.set_enable_tensor_transport(enable_tensor_transport); inner.set_enable_task_events(enable_task_events.value_or(kDefaultTaskEventEnabled)); inner.mutable_labels()->insert(labels.begin(), labels.end()); return inner; @@ -105,6 +107,7 @@ ActorHandle::ActorHandle( const std::string &ray_namespace, int32_t max_pending_calls, bool allow_out_of_order_execution, + bool enable_tensor_transport, std::optional enable_task_events, const std::unordered_map &labels) : ActorHandle(CreateInnerActorHandle(actor_id, @@ -120,6 +123,7 @@ ActorHandle::ActorHandle( ray_namespace, max_pending_calls, allow_out_of_order_execution, + enable_tensor_transport, enable_task_events, labels)) {} diff --git a/src/ray/core_worker/actor_handle.h b/src/ray/core_worker/actor_handle.h index b3ec2294befb..d9aa163f7dfa 100644 --- a/src/ray/core_worker/actor_handle.h +++ b/src/ray/core_worker/actor_handle.h @@ -49,6 +49,7 @@ class ActorHandle { const std::string &ray_namespace, int32_t max_pending_calls, bool allow_out_of_order_execution = false, + bool enable_tensor_transport = false, std::optional enable_task_events = absl::nullopt, const std::unordered_map &labels = {}); @@ -110,6 +111,8 @@ class ActorHandle { bool AllowOutOfOrderExecution() const { return inner_.allow_out_of_order_execution(); } + bool EnableTensorTransport() const { return inner_.enable_tensor_transport(); } + const ::google::protobuf::Map &GetLabels() const { return inner_.labels(); } diff --git a/src/ray/core_worker/common.h b/src/ray/core_worker/common.h index 3e0bd5c06379..c68bed12d18e 100644 --- a/src/ray/core_worker/common.h +++ b/src/ray/core_worker/common.h @@ -129,6 +129,7 @@ struct ActorCreationOptions { std::vector concurrency_groups_p = {}, bool allow_out_of_order_execution_p = false, int32_t max_pending_calls_p = -1, + bool enable_tensor_transport_p = false, bool enable_task_events_p = kDefaultTaskEventEnabled, std::unordered_map labels_p = {}, std::unordered_map label_selector_p = {}) @@ -147,6 +148,7 @@ struct ActorCreationOptions { concurrency_groups(std::move(concurrency_groups_p)), allow_out_of_order_execution(allow_out_of_order_execution_p), max_pending_calls(max_pending_calls_p), + enable_tensor_transport(enable_tensor_transport_p), scheduling_strategy(std::move(scheduling_strategy_p)), enable_task_events(enable_task_events_p), labels(std::move(labels_p)), @@ -200,6 +202,7 @@ struct ActorCreationOptions { const bool allow_out_of_order_execution = false; /// The maximum actor call pending count. const int max_pending_calls = -1; + const bool enable_tensor_transport = false; // The strategy about how to schedule this actor. rpc::SchedulingStrategy scheduling_strategy; /// True if task events (worker::TaskEvent) from this creation task should be reported diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index eee7cba66534..62ef51ae0bdc 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -2104,6 +2104,7 @@ Status CoreWorker::CreateActor(const RayFunction &function, ray_namespace, actor_creation_options.max_pending_calls, actor_creation_options.allow_out_of_order_execution, + actor_creation_options.enable_tensor_transport, actor_creation_options.enable_task_events, actor_creation_options.labels); std::string serialized_actor_handle; diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 38383ce11172..401d1fc7a424 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -72,6 +72,8 @@ message ActorHandle { // The key-value labels for actor. map labels = 15; + + bool enable_tensor_transport = 16; } message PushTaskRequest { From 8bcb8b9ce0704f9de3662a1e094e35a41c85cbd2 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 12 Sep 2025 14:35:37 -0700 Subject: [PATCH 1193/1566] [ci] 2 different pydoclints (1 for ci and 1 for local) (#56464) creating 2 pydoclint pre-commit jobs due to the following issue: https://anyscaleteam.slack.com/archives/C02J07KKF2A/p1757377523554369 Issue: pydoclint-baseline.txt gets overwritten during precommit because pydoclint is only running on updated files When manually running `pre-commit run pydoclint --all-files --show-diff-on-failure` all files are scanned and the pydoctlint-baseline is respected Solution: Create 2 pre-commit jobs 1 for local (**pydoclintlocal**): setting `--auto-regenerate-baseline=False` so its not overwritten but will surface errors 1 for ci (**pydoclintci**): Leaving current setup `--auto-regenerate-baseline=True` and adding **manual** stage to manually trigger the hook This step is manually run in ci and will error out if theres a diff in the baseline --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 28 ++++++++++++++++++++++++++++ ci/lint/lint.sh | 6 +++++- 2 files changed, 33 insertions(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d404d2c92c99..fb79122d44b8 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -45,10 +45,38 @@ repos: - id: ruff args: [ --select, "I", --fix, --exit-non-zero-on-fix ] + # pydoclint-local is for local commits only due to pre-commit-hook only passing + # updated files to the hook and overwriting the baseline text file - repo: https://github.com/jsh9/pydoclint rev: "0.6.6" hooks: - id: pydoclint + name: pydoclint-local + stages: [pre-commit, pre-push] + args: [ + --style=google, + --baseline=ci/lint/pydoclint-baseline.txt, + --exclude=thirdparty|^python/ray/serve/tests/test_config_files/syntax_error\.py$|^python/ray/_private/parameter\.py$, + --auto-regenerate-baseline=False, + # Current settings (not because we think they're right, but because we + # don't want a baseline the size of the codebase) + --arg-type-hints-in-docstring=False, + --skip-checking-raises=True, + --check-return-types=False, + --allow-init-docstring=True, + --check-class-attributes=False, + # --check-style-mismatch=True, # Bring this back once things are a bit cleaner + ] + types: [python] + files: '^python/ray/' + + # pydoclint-ci is for CI, overwrites the baseline text file, and is run with the manual stage flag + - repo: https://github.com/jsh9/pydoclint + rev: "0.6.6" + hooks: + - id: pydoclint + name: pydoclint-ci + stages: [manual] args: [ --style=google, --baseline=ci/lint/pydoclint-baseline.txt, diff --git a/ci/lint/lint.sh b/ci/lint/lint.sh index e8355dda12ba..53d7156e86c8 100755 --- a/ci/lint/lint.sh +++ b/ci/lint/lint.sh @@ -48,7 +48,11 @@ pre_commit() { pre_commit_pydoclint() { # Run pre-commit pydoclint on all files pip install -c python/requirements_compiled.txt pre-commit clang-format - pre-commit run pydoclint --all-files --show-diff-on-failure + pre-commit run pydoclint --hook-stage manual --all-files --show-diff-on-failure + git diff --quiet -- ci/lint/pydoclint-baseline.txt || { + echo "Baseline needs update. Run the CI-style hook: \"pre-commit run pydoclint --hook-stage manual --all-files --show-diff-on-failure\" locally and commit the baseline." + exit 1 + } } code_format() { From 0f7554e9f62a08e5a8b7f90a62fb6a522fb534aa Mon Sep 17 00:00:00 2001 From: lkchen Date: Fri, 12 Sep 2025 14:46:56 -0700 Subject: [PATCH 1194/1566] [LLM][Serve] Allow setting `data_parallel_size=1` in engine_kwargs (#55750) Signed-off-by: Douglas Strodtman --- .../_internal/serve/configs/server_models.py | 14 +++-- .../tests/serve/cpu/configs/test_models.py | 51 +++++++++++++++++++ 2 files changed, 60 insertions(+), 5 deletions(-) diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index 3be3e246929a..d7a7b9af9f75 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -560,18 +560,22 @@ def get_serve_options( # Configure DP deployment options. # TODO(rui): move the following to DPServer, e.g., # deployment_options = DPServer.get_deployment_options(llm_config) - dp_size = self.engine_kwargs.get("data_parallel_size", None) - if dp_size is not None: + dp_size = self.engine_kwargs.get("data_parallel_size", 1) + if not (isinstance(dp_size, int) and dp_size > 0): + raise ValueError( + f"Invalid data_parallel_size: {dp_size}, expecting " "positive integer." + ) + if dp_size != 1: if "num_replicas" in deployment_options: raise ValueError( "num_replicas should not be specified for DP deployment, " - "use engine_kwargs.data_parallel_size instead." + f"use engine_kwargs.data_parallel_size={dp_size} instead." ) if "autoscaling_config" in deployment_options: raise ValueError( "autoscaling_config is not supported for DP deployment, " - "use engine_kwargs.data_parallel_size to set a fixed number " - "of replicas instead." + f"use engine_kwargs.data_parallel_size={dp_size} to set a " + "fixed number of replicas instead." ) deployment_options["num_replicas"] = dp_size deployment_options["max_ongoing_requests"] = DEFAULT_MAX_ONGOING_REQUESTS diff --git a/python/ray/llm/tests/serve/cpu/configs/test_models.py b/python/ray/llm/tests/serve/cpu/configs/test_models.py index b88ca0524029..2ae92508c9e9 100644 --- a/python/ray/llm/tests/serve/cpu/configs/test_models.py +++ b/python/ray/llm/tests/serve/cpu/configs/test_models.py @@ -1,4 +1,5 @@ import sys +from copy import deepcopy from pathlib import Path import pydantic @@ -302,6 +303,56 @@ def test_log_engine_metrics_disable_log_stats_validation(self): engine_kwargs={"disable_log_stats": True}, ) + @pytest.mark.parametrize( + "data_parallel_size,num_replica,allowed", + [ + (None, 1, True), + (None, 2, True), + (None, 3, True), + (1, 1, True), + (1, 2, True), + (1, 3, True), + (2, 2, False), + (2, 3, False), + (4, 2, False), + (2, None, True), + (None, None, True), + ], + ) + def test_multi_replica_dp_validation( + self, data_parallel_size, num_replica, allowed + ): + """Test that multi-replica and DP size are mutually exclusive. + + Ray.llm's implementation does not yet support multi-replica + deployment along with DP. + """ + engine_kwargs = ( + {} + if data_parallel_size is None + else {"data_parallel_size": data_parallel_size} + ) + deployment_config = {} if num_replica is None else {"num_replicas": num_replica} + + def get_serve_options_with_num_replica(): + return LLMConfig( + model_loading_config=dict(model_id="test_model"), + engine_kwargs=deepcopy(engine_kwargs), + deployment_config=deepcopy(deployment_config), + ).get_serve_options(name_prefix="Test:") + + if allowed: + serve_options = get_serve_options_with_num_replica() + actual_num_replicas = serve_options.get("num_replicas", 1) + expected_num_replicas = (data_parallel_size or 1) * (num_replica or 1) + assert actual_num_replicas == expected_num_replicas + else: + with pytest.raises( + ValueError, + match="use engine_kwargs.data_parallel_size", + ): + get_serve_options_with_num_replica() + class TestFieldValidators: """Test the field validators for dict validation.""" From 161a9a02d6db602028311a8933b4bf7dbe1d78e8 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 12 Sep 2025 15:37:46 -0700 Subject: [PATCH 1195/1566] [ci] removing python ver check for llm lockfile compile (#56495) removing python ver check for llm compilation already use --python flag on compilation Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/pre_hooks/remove-compiled-headers.sh | 7 ------- 1 file changed, 7 deletions(-) diff --git a/ci/raydepsets/pre_hooks/remove-compiled-headers.sh b/ci/raydepsets/pre_hooks/remove-compiled-headers.sh index 37f32d3808f9..109563fd2be2 100755 --- a/ci/raydepsets/pre_hooks/remove-compiled-headers.sh +++ b/ci/raydepsets/pre_hooks/remove-compiled-headers.sh @@ -2,13 +2,6 @@ set -euo pipefail -PYTHON_CODE="$(python -c "import sys; v=sys.version_info; print(f'py{v.major}{v.minor}')")" -if [[ "${PYTHON_CODE}" != "py311" ]]; then - echo "--- Python version is not 3.11" - echo "--- Current Python version: ${PYTHON_CODE}" - exit 1 -fi - mkdir -p /tmp/ray-deps # Remove the GPU constraints From bc565548e1558d824ddf785f90330c1e4bfe59cd Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Fri, 12 Sep 2025 17:16:13 -0700 Subject: [PATCH 1196/1566] [Data.llm] Fix multimodal image extraction when no system prompt is present (#56435) Signed-off-by: Nikhil Ghosh Signed-off-by: Douglas Strodtman --- .../batch/stages/prepare_image_stage.py | 17 +++- .../cpu/stages/test_prepare_image_stage.py | 98 +++++++++++++++++++ 2 files changed, 111 insertions(+), 4 deletions(-) diff --git a/python/ray/llm/_internal/batch/stages/prepare_image_stage.py b/python/ray/llm/_internal/batch/stages/prepare_image_stage.py index 8b1989863c42..bb5a31db131d 100644 --- a/python/ray/llm/_internal/batch/stages/prepare_image_stage.py +++ b/python/ray/llm/_internal/batch/stages/prepare_image_stage.py @@ -322,12 +322,21 @@ def extract_image_info(self, messages: List[Dict]) -> List[_ImageType]: image_info: List[_ImageType] = [] for message in messages: - if not isinstance(message["content"], list): + content = message["content"] + + # Convert PyArrow objects to Python objects if needed (like ChatTemplateStage). + # This handles the case where unform content types are serialized with PyArrow + # instead of pickle- happens when all messages have the same content structure + # (e.g., no system prompt + string content mixed with user messages with list content). + if hasattr(content, "tolist"): + content = content.tolist() + + if not isinstance(content, list): continue - for content in message["content"]: - if content["type"] not in ("image", "image_url"): + for content_item in content: + if content_item["type"] not in ("image", "image_url"): continue - image = content[content["type"]] + image = content_item[content_item["type"]] if not isinstance(image, str) and not isinstance( image, self.Image.Image ): diff --git a/python/ray/llm/tests/batch/cpu/stages/test_prepare_image_stage.py b/python/ray/llm/tests/batch/cpu/stages/test_prepare_image_stage.py index 07b5182dfbcd..2ee2f5e8bd3d 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_prepare_image_stage.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_prepare_image_stage.py @@ -164,5 +164,103 @@ async def test_prepare_image_udf_invalid_image_type(mock_image_processor): pass +# Test that image extraction works consistently with both uniform content types +# (no system prompt) and mixed content types (with system prompt) + + +@pytest.mark.parametrize( + "messages,expected_images,test_description", + [ + # Test with system prompt + ( + [ + {"role": "system", "content": "You are an assistant"}, + { + "role": "user", + "content": [ + { + "type": "image", + "image": "https://example.com/test-image.jpg", + }, + { + "type": "text", + "text": "Can you describe this image in 1 words?", + }, + ], + }, + ], + ["https://example.com/test-image.jpg"], + "with_system_prompt", + ), + # Test without system prompt + ( + [ + { + "role": "user", + "content": [ + { + "type": "image", + "image": "https://example.com/test-image.jpg", + }, + { + "type": "text", + "text": "Can you describe this image in 1 words?", + }, + ], + } + ], + ["https://example.com/test-image.jpg"], + "without_system_prompt", + ), + # Test multiple images without system prompt + ( + [ + { + "role": "user", + "content": [ + {"type": "image", "image": "https://example.com/image1.jpg"}, + {"type": "text", "text": "Describe this image"}, + ], + }, + { + "role": "user", + "content": [ + {"type": "image", "image": "https://example.com/image2.jpg"}, + {"type": "text", "text": "What do you see?"}, + ], + }, + ], + ["https://example.com/image1.jpg", "https://example.com/image2.jpg"], + "multiple_images_no_system_prompt", + ), + # Test image_url format without system prompt + ( + [ + { + "role": "user", + "content": [ + { + "type": "image_url", + "image_url": "https://example.com/image.jpg", + }, + {"type": "text", "text": "Describe this image"}, + ], + } + ], + ["https://example.com/image.jpg"], + "image_url_format_no_system_prompt", + ), + ], + ids=lambda x: x if isinstance(x, str) else None, +) +def test_extract_image_info(messages, expected_images, test_description): + """Test image extraction with various message structures and formats.""" + udf = PrepareImageUDF(data_column="__data", expected_input_keys=["messages"]) + + image_info = udf.extract_image_info(messages) + assert len(image_info) == len(expected_images) + assert image_info == expected_images + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From e1076d09b9a2602630b00d26989b1a4561bfbde8 Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Fri, 12 Sep 2025 17:57:52 -0700 Subject: [PATCH 1197/1566] [core][gpu-objects] Add initial docs (#55981) Initial user guide for GPU objects. Missing a couple things that we can add in follow-ups: - installation instructions - full API reference - performance numbers --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Edward Oakes Co-authored-by: Qiaolin Yu Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 37 +++ doc/source/ray-core/api/direct-transport.rst | 28 ++ doc/source/ray-core/api/index.rst | 1 + doc/source/ray-core/direct-transport.rst | 250 ++++++++++++++++++ .../doc_code/direct_transport_gloo.py | 136 ++++++++++ .../doc_code/direct_transport_nccl.py | 27 ++ .../doc_code/direct_transport_nixl.py | 34 +++ doc/source/ray-core/user-guide.rst | 1 + python/ray/actor.py | 17 +- 9 files changed, 525 insertions(+), 6 deletions(-) create mode 100644 doc/source/ray-core/api/direct-transport.rst create mode 100644 doc/source/ray-core/direct-transport.rst create mode 100644 doc/source/ray-core/doc_code/direct_transport_gloo.py create mode 100644 doc/source/ray-core/doc_code/direct_transport_nccl.py create mode 100644 doc/source/ray-core/doc_code/direct_transport_nixl.py diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 018aa5185495..2dcca3b6ac1e 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -202,6 +202,41 @@ py_test( ], ) +py_test( + name = "doc_code_direct_transport_gloo", + size = "small", + srcs = ["source/ray-core/doc_code/direct_transport_gloo.py"], + main = "source/ray-core/doc_code/direct_transport_gloo.py", + tags = [ + "exclusive", + "team:core", + ], +) + +py_test( + name = "doc_code_direct_transport_nccl", + size = "small", + srcs = ["source/ray-core/doc_code/direct_transport_nccl.py"], + main = "source/ray-core/doc_code/direct_transport_nccl.py", + tags = [ + "exclusive", + "multi_gpu", + "team:core", + ], +) + +py_test( + name = "doc_code_direct_transport_nixl", + size = "small", + srcs = ["source/ray-core/doc_code/direct_transport_nixl.py"], + main = "source/ray-core/doc_code/direct_transport_nixl.py", + tags = [ + "exclusive", + "multi_gpu", + "team:core", + ], +) + py_test_run_all_subdirectory( size = "medium", include = ["source/ray-core/doc_code/*.py"], @@ -214,6 +249,8 @@ py_test_run_all_subdirectory( "source/ray-core/doc_code/cgraph_overlap.py", # not testing this as it purposefully segfaults "source/ray-core/doc_code/cgraph_troubleshooting.py", + "source/ray-core/doc_code/direct_transport_nccl.py", + "source/ray-core/doc_code/direct_transport_nixl.py", ], extra_srcs = [], tags = [ diff --git a/doc/source/ray-core/api/direct-transport.rst b/doc/source/ray-core/api/direct-transport.rst new file mode 100644 index 000000000000..07815b1f9758 --- /dev/null +++ b/doc/source/ray-core/api/direct-transport.rst @@ -0,0 +1,28 @@ +Ray Direct Transport (RDT) API +============================== + +Usage with Core APIs +-------------------- +Enable RDT for actor tasks with the :func:`@ray.method ` decorator, or pass `_tensor_transport` to :func:`ray.put`. You can then pass the resulting `ray.ObjectRef` to other actor tasks, or use :func:`ray.get` to retrieve the result. See :ref:`Ray Direct Transport (RDT) ` for more details on usage. + + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + ray.method + ray.put + ray.get + +Collective tensor transports +---------------------------- +Collective tensor transports require a collective group to be created before RDT objects can be used. Use these methods to create and manage collective groups for the `gloo` and `nccl` tensor transports. + + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + ray.experimental.collective.create_collective_group + ray.experimental.collective.get_collective_groups + ray.experimental.collective.destroy_collective_group \ No newline at end of file diff --git a/doc/source/ray-core/api/index.rst b/doc/source/ray-core/api/index.rst index 2845ebe892ef..25b15b766bf1 100644 --- a/doc/source/ray-core/api/index.rst +++ b/doc/source/ray-core/api/index.rst @@ -12,3 +12,4 @@ Ray Core API cli.rst ../../ray-observability/reference/cli.rst ../../ray-observability/reference/api.rst + direct-transport.rst \ No newline at end of file diff --git a/doc/source/ray-core/direct-transport.rst b/doc/source/ray-core/direct-transport.rst new file mode 100644 index 000000000000..d8d08a7c163c --- /dev/null +++ b/doc/source/ray-core/direct-transport.rst @@ -0,0 +1,250 @@ +.. _direct-transport: + +.. TODO: asyncio not yet supported. +.. TODO: wait_tensor_freed + +************************** +Ray Direct Transport (RDT) +************************** + +Ray objects are normally stored in Ray's CPU-based object store and copied and deserialized when accessed by a Ray task or actor. +For GPU data specifically, this can lead to unnecessary and expensive data transfers. +For example, passing a CUDA ``torch.Tensor`` from one Ray task to another would require a copy from GPU to CPU memory, then back again to GPU memory. + +*Ray Direct Transport (RDT)* is a new feature that allows Ray to store and pass objects directly between Ray actors. +This feature augments the familiar Ray :class:`ObjectRef ` API by: + +- Keeping GPU data in GPU memory until a transfer is needed +- Avoiding expensive serialization and copies to and from the Ray object store +- Using efficient data transports like collective communication libraries (`Gloo `__ or `NCCL `__) or point-to-point RDMA (via `NVIDIA's NIXL `__) to transfer data directly between devices, including both CPU and GPUs + +.. note:: + RDT is currently in **alpha**. Not all Ray Core APIs are supported yet. Future releases may introduce breaking API changes. See the :ref:`limitations ` section for more details. + +Getting started +=============== + +.. tip:: + RDT currently supports ``torch.Tensor`` objects created by Ray actor tasks. Other datatypes and Ray non-actor tasks may be supported in future releases. + +This walkthrough will show how to create and use RDT with different *tensor transports*, i.e. the mechanism used to transfer the tensor between actors. +Currently, RDT supports the following tensor transports: + +1. `Gloo `__: A collective communication library for PyTorch and CPUs. +2. `NVIDIA NCCL `__: A collective communication library for NVIDIA GPUs. +3. `NVIDIA NIXL `__ (backed by `UCX `__): A library for accelerating point-to-point transfers via RDMA, especially between various types of memory and NVIDIA GPUs. + +For ease of following along, we'll start with the `Gloo `__ transport, which can be used without any physical GPUs. + +.. _direct-transport-gloo: + +Usage with Gloo (CPUs only) +--------------------------- + +Installation +^^^^^^^^^^^^ + +.. note:: + Under construction. + +Walkthrough +^^^^^^^^^^^ + +To get started, define an actor class and a task that returns a ``torch.Tensor``: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __normal_example_start__ + :end-before: __normal_example_end__ + +As written, when the ``torch.Tensor`` is returned, it will be copied into Ray's CPU-based object store. +For CPU-based tensors, this can require an expensive step to copy and serialize the object, while GPU-based tensors additionally require a copy to and from CPU memory. + +To enable RDT, use the ``tensor_transport`` option in the :func:`@ray.method ` decorator. + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_example_start__ + :end-before: __gloo_example_end__ + +This decorator can be added to any actor tasks that return a ``torch.Tensor``, or that return ``torch.Tensors`` nested inside other Python objects. +Adding this decorator will change Ray's behavior in the following ways: + +1. When returning the tensor, Ray will store a *reference* to the tensor instead of copying it to CPU memory. +2. When the :class:`ray.ObjectRef` is passed to another task, Ray will use Gloo to transfer the tensor to the destination task. + +Note that for (2) to work, the :func:`@ray.method(tensor_transport) ` decorator only needs to be added to the actor task that *returns* the tensor. It should not be added to actor tasks that *consume* the tensor (unless those tasks also return tensors). + +Also, for (2) to work, we must first create a *collective group* of actors. + +Creating a collective group +^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To create a collective group for use with RDT: + +1. Create multiple Ray actors. +2. Create a collective group on the actors using the :func:`ray.experimental.collective.create_collective_group ` function. The `backend` specified must match the `tensor_transport` used in the :func:`@ray.method ` decorator. + +Here is an example: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_group_start__ + :end-before: __gloo_group_end__ + +The actors can now communicate directly via gloo. +The group can also be destroyed using the :func:`ray.experimental.collective.destroy_collective_group ` function. +After calling this function, a new collective group can be created on the same actors. + +Passing objects to other actors +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Now that we have a collective group, we can create and pass RDT objects between the actors. +Here is a full example: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_full_example_start__ + :end-before: __gloo_full_example_end__ + +When the :class:`ray.ObjectRef` is passed to another task, Ray will use Gloo to transfer the tensor directly from the source actor to the destination actor instead of the default object store. +Note that the :func:`@ray.method(tensor_transport) ` decorator is only added to the actor task that *returns* the tensor; once this hint has been added, the receiving actor task `receiver.sum` will automatically use Gloo to receive the tensor. +In this example, because `MyActor.sum` does not have the :func:`@ray.method(tensor_transport) ` decorator, it will use the default Ray object store transport to return `torch.sum(tensor)`. + +RDT also supports passing tensors nested inside Python data structures, as well as actor tasks that return multiple tensors, like in this example: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_multiple_tensors_example_start__ + :end-before: __gloo_multiple_tensors_example_end__ + +Passing RDT objects to the actor that produced them +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +RDT :class:`ray.ObjectRefs ` can also be passed to the actor that produced them. +This avoids any copies and just provides a reference to the same ``torch.Tensor`` that was previously created. +For example: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_intra_actor_start__ + :end-before: __gloo_intra_actor_end__ + + +.. note:: + Ray only keeps a reference to the tensor created by the user, so the tensor objects are *mutable*. + If ``sender.sum`` were to modify the tensor in the above example, the changes would also be seen by ``receiver.sum``. + This differs from the normal Ray Core API, which always makes an immutable copy of data returned by actors. + + +``ray.get`` +^^^^^^^^^^^ + +The :func:`ray.get ` function can also be used as usual to retrieve the result of an RDT object, via Ray's object store. + +.. TODO: This example needs to be updated once we change the default transport for ray.get to match the ray.method transport. + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_get_start__ + :end-before: __gloo_get_end__ + +Usage with NCCL (NVIDIA GPUs only) +---------------------------------- + +RDT requires just a few lines of code change to switch tensor transports. Here is the :ref:`Gloo example `, modified to use NVIDIA GPUs and the `NCCL `__ library for collective GPU communication. + +.. literalinclude:: doc_code/direct_transport_nccl.py + :language: python + :start-after: __nccl_full_example_start__ + :end-before: __nccl_full_example_end__ + +The main code differences are: + +1. The :func:`@ray.method ` uses ``tensor_transport="nccl"`` instead of ``tensor_transport="gloo"``. +2. The :func:`ray.experimental.collective.create_collective_group ` function is used to create a collective group. +3. The tensor is created on the GPU using the ``.cuda()`` method. + +Usage with NIXL (CPUs or NVIDIA GPUs) +------------------------------------- + +NIXL can transfer data between different devices, including CPUs and NVIDIA GPUs, but doesn't require a collective group to be created ahead of time. +This means that any actor that has NIXL installed in its environment can be used to create and pass an RDT object. + +Otherwise, the usage is the same as in the :ref:`Gloo example `. + +Here is an example showing how to use NIXL to transfer an RDT object between two actors: + +.. literalinclude:: doc_code/direct_transport_nixl.py + :language: python + :start-after: __nixl_full_example_start__ + :end-before: __nixl_full_example_end__ + +Compared to the :ref:`Gloo example `, the main code differences are: + +1. The :func:`@ray.method ` uses ``tensor_transport="nixl"`` instead of ``tensor_transport="gloo"``. +2. No collective group is needed. + +.. TODO: ray.get with NIXL + ``ray.get`` + ^^^^^^^^^^^ + + Unlike the collective-based tensor transports (Gloo and NCCL), the :func:`ray.get ` function can use NIXL or the Ray object store to retrieve a copy of the result. + By default, the tensor transport for :func:`ray.get ` will be the one specified in the :func:`@ray.method ` decorator. + + .. literalinclude:: doc_code/direct_transport_nixl.py + :language: python + :start-after: __nixl_get_start__ + :end-before: __nixl_get_end__ + +Summary +------- + +RDT allows Ray to store and pass objects directly between Ray actors, using accelerated transports like GLOO, NCCL, and NIXL. +Here are the main points to keep in mind: + +* If using a collective-based tensor transport (Gloo or NCCL), a collective group must be created ahead of time. NIXL just requires all involved actors to have NIXL installed. +* Unlike objects in the Ray object store, RDT objects are *mutable*, meaning that Ray only holds a reference, not a copy, to the stored tensor(s). +* Otherwise, actors can be used as normal. + +For a full list of limitations, see the :ref:`limitations ` section. + + +Microbenchmarks +=============== + +.. note:: + Under construction. + +.. _limitations: + +Limitations +=========== + +RDT is currently in alpha and currently has the following limitations, which may be addressed in future releases: + +* Support for ``torch.Tensor`` objects only. +* Support for Ray actors only, not Ray tasks. +* Support for the following transports: Gloo, NCCL, and NIXL. +* Support for CPUs and NVIDIA GPUs only. +* RDT objects are *mutable*. This means that Ray only holds a reference to the tensor, and will not copy it until a transfer is requested. Thus, if the application code also keeps a reference to a tensor before returning it, and modifies the tensor in place, then some or all of the changes may be seen by the receiving actor. + +For collective-based tensor transports (Gloo and NCCL): + +* Only the process that created the collective group can submit actor tasks that return and pass RDT objects. If the creating process passes the actor handles to other processes, those processes can submit actor tasks as usual, but will not be able to use RDT objects. +* Similarly, the process that created the collective group cannot serialize and pass RDT :class:`ray.ObjectRefs ` to other Ray tasks or actors. Instead, the :class:`ray.ObjectRef`\s can only be passed as direct arguments to other actor tasks, and those actors must be in the same collective group. +* Each actor can only be in one collective group per tensor transport at a time. +* No support for :func:`ray.put `. +* If a system-level error occurs during a collective operation, the collective group will be destroyed and the actors will no longer be able to communicate via the collective group. Note that application-level errors, i.e. exceptions raised by user code, will not destroy the collective group and will instead be propagated to any dependent task(s), as for non-RDT Ray objects. System-level errors include: + + * Errors internal to the third-party transport, e.g., NCCL network errors + * Actor and node failure + * Tensors returned by the user that are located on an unsupported device, e.g., a CPU tensor when using NCCL + * Any unexpected system bugs + + +Advanced: RDT Internals +======================= + +.. note:: + Under construction. diff --git a/doc/source/ray-core/doc_code/direct_transport_gloo.py b/doc/source/ray-core/doc_code/direct_transport_gloo.py new file mode 100644 index 000000000000..282ee55a8d63 --- /dev/null +++ b/doc/source/ray-core/doc_code/direct_transport_gloo.py @@ -0,0 +1,136 @@ +# flake8: noqa + +# __normal_example_start__ +import torch +import ray + + +@ray.remote +class MyActor: + def random_tensor(self): + return torch.randn(1000, 1000) + + +# __normal_example_end__ + +# __gloo_example_start__ +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + return torch.randn(1000, 1000) + + +# __gloo_example_end__ + +# __gloo_group_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + return torch.randn(1000, 1000) + + def sum(self, tensor: torch.Tensor): + return torch.sum(tensor) + + +sender, receiver = MyActor.remote(), MyActor.remote() +# The tensor_transport specified here must match the one used in the @ray.method +# decorator. +group = create_collective_group([sender, receiver], backend="torch_gloo") +# __gloo_group_end__ + +# __gloo_group_destroy_start__ +from ray.experimental.collective import destroy_collective_group + +destroy_collective_group(group) +# __gloo_group_destroy_end__ + +# __gloo_full_example_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + return torch.randn(1000, 1000) + + def sum(self, tensor: torch.Tensor): + return torch.sum(tensor) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +# The tensor will be stored by the `sender` actor instead of in Ray's object +# store. +tensor = sender.random_tensor.remote() +result = receiver.sum.remote(tensor) +print(ray.get(result)) +# __gloo_full_example_end__ + +# __gloo_multiple_tensors_example_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor_dict(self): + return {"tensor1": torch.randn(1000, 1000), "tensor2": torch.randn(1000, 1000)} + + def sum(self, tensor_dict: dict): + return torch.sum(tensor_dict["tensor1"]) + torch.sum(tensor_dict["tensor2"]) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +# Both tensor values in the dictionary will be stored by the `sender` actor +# instead of in Ray's object store. +tensor_dict = sender.random_tensor_dict.remote() +result = receiver.sum.remote(tensor_dict) +print(ray.get(result)) +# __gloo_multiple_tensors_example_end__ + +# __gloo_intra_actor_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + return torch.randn(1000, 1000) + + def sum(self, tensor: torch.Tensor): + return torch.sum(tensor) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +tensor = sender.random_tensor.remote() +# Pass the ObjectRef back to the actor that produced it. The tensor will be +# passed back to the same actor without copying. +sum1 = sender.sum.remote(tensor) +sum2 = receiver.sum.remote(tensor) +assert torch.allclose(*ray.get([sum1, sum2])) +# __gloo_intra_actor_end__ + +# __gloo_get_start__ +print(ray.get(tensor)) +# torch.Tensor(...) +# __gloo_get_end__ diff --git a/doc/source/ray-core/doc_code/direct_transport_nccl.py b/doc/source/ray-core/doc_code/direct_transport_nccl.py new file mode 100644 index 000000000000..2296a073ce6b --- /dev/null +++ b/doc/source/ray-core/doc_code/direct_transport_nccl.py @@ -0,0 +1,27 @@ +# flake8: noqa + +# __nccl_full_example_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote(num_gpus=1) +class MyActor: + @ray.method(tensor_transport="nccl") + def random_tensor(self): + return torch.randn(1000, 1000).cuda() + + def sum(self, tensor: torch.Tensor): + return torch.sum(tensor) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="nccl") + +# The tensor will be stored by the `sender` actor instead of in Ray's object +# store. +tensor = sender.random_tensor.remote() +result = receiver.sum.remote(tensor) +ray.get(result) +# __nccl_full_example_end__ diff --git a/doc/source/ray-core/doc_code/direct_transport_nixl.py b/doc/source/ray-core/doc_code/direct_transport_nixl.py new file mode 100644 index 000000000000..7952c7f9fb87 --- /dev/null +++ b/doc/source/ray-core/doc_code/direct_transport_nixl.py @@ -0,0 +1,34 @@ +# flake8: noqa + +# __nixl_full_example_start__ +import torch +import ray + + +@ray.remote(num_gpus=1) +class MyActor: + @ray.method(tensor_transport="nixl") + def random_tensor(self): + return torch.randn(1000, 1000).cuda() + + def sum(self, tensor: torch.Tensor): + return torch.sum(tensor) + + +# No collective group is needed. The two actors just need to have NIXL +# installed. +sender, receiver = MyActor.remote(), MyActor.remote() + +# The tensor will be stored by the `sender` actor instead of in Ray's object +# store. +tensor = sender.random_tensor.remote() +result = receiver.sum.remote(tensor) +ray.get(result) +# __nixl_full_example_end__ + +# __nixl_get_start__ +# The :func:`ray.get ` function will also use NIXL to retrieve the +# result. +print(ray.get(tensor)) +# torch.Tensor(...) +# __nixl_get_end__ diff --git a/doc/source/ray-core/user-guide.rst b/doc/source/ray-core/user-guide.rst index 89c40d108548..6befdfc519ba 100644 --- a/doc/source/ray-core/user-guide.rst +++ b/doc/source/ray-core/user-guide.rst @@ -17,5 +17,6 @@ If you’re brand new to Ray, we recommend starting with the :ref:`walkthrough < scheduling/index.rst fault-tolerance patterns/index.rst + direct-transport compiled-graph/ray-compiled-graph advanced-topics diff --git a/python/ray/actor.py b/python/ray/actor.py index de960f9c29aa..07f808c90352 100644 --- a/python/ray/actor.py +++ b/python/ray/actor.py @@ -434,13 +434,18 @@ def bar(self): to use for the actor method. By default, the actor is single-threaded and runs all actor tasks on the same thread. See :ref:`Defining Concurrency Groups `. - tensor_transport: [Experimental] The tensor transport protocol to + tensor_transport: [Alpha] The tensor transport protocol to use for the actor method. The valid values are "OBJECT_STORE" - (default), "NCCL", or "GLOO" (case-insensitive). torch.Tensors - returned by this task will be sent to other tasks using the - specified transport. NCCL and GLOO transports require first creating - a collective with the involved actors using - `ray.experimental.collective.create_collective_group`. + (default), "NCCL", "GLOO", or "NIXL" (case-insensitive). If a + non-object store transport is specified, Ray will store a + *reference* instead of a copy of any torch.Tensors found inside + values returned by this task, and the tensors will be sent directly + to other tasks using the specified transport. NCCL and GLOO + transports require first creating a collective with the involved + actors using + :func:`ray.experimental.collective.create_collective_group`. + See :ref:`Ray Direct Transport (RDT) ` for more + details. """ valid_kwargs = [ "num_returns", From 39a2bd8578c835bc99198283b811df724609ea85 Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Fri, 12 Sep 2025 20:50:05 -0700 Subject: [PATCH 1198/1566] [Data] Refactor batch inference release test definitions (#56489) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? This PR updates the batch inference release tests to make them easier to run and clearer: * Sets the group name to `batch-inference`, removing the need to list each test individually. * Renames batch_inference_hetero → image_embedding_from_jsonl and batch_inference → image_classification for clarity. * Sets the image and text embedding workloads to run weekly for consistent signal. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- .../autoscaling_cluster_compute.yaml | 0 .../fixed_size_cluster_compute.yaml | 0 .../main.py | 0 release/release_data_tests.yaml | 24 ++++++++++++------- 4 files changed, 15 insertions(+), 9 deletions(-) rename release/nightly_tests/dataset/{batch_inference_hetero => image_embedding_from_jsonl}/autoscaling_cluster_compute.yaml (100%) rename release/nightly_tests/dataset/{batch_inference_hetero => image_embedding_from_jsonl}/fixed_size_cluster_compute.yaml (100%) rename release/nightly_tests/dataset/{batch_inference_hetero => image_embedding_from_jsonl}/main.py (100%) diff --git a/release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml b/release/nightly_tests/dataset/image_embedding_from_jsonl/autoscaling_cluster_compute.yaml similarity index 100% rename from release/nightly_tests/dataset/batch_inference_hetero/autoscaling_cluster_compute.yaml rename to release/nightly_tests/dataset/image_embedding_from_jsonl/autoscaling_cluster_compute.yaml diff --git a/release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml b/release/nightly_tests/dataset/image_embedding_from_jsonl/fixed_size_cluster_compute.yaml similarity index 100% rename from release/nightly_tests/dataset/batch_inference_hetero/fixed_size_cluster_compute.yaml rename to release/nightly_tests/dataset/image_embedding_from_jsonl/fixed_size_cluster_compute.yaml diff --git a/release/nightly_tests/dataset/batch_inference_hetero/main.py b/release/nightly_tests/dataset/image_embedding_from_jsonl/main.py similarity index 100% rename from release/nightly_tests/dataset/batch_inference_hetero/main.py rename to release/nightly_tests/dataset/image_embedding_from_jsonl/main.py diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 9906afcad56f..52839de05d80 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -492,7 +492,8 @@ # 300 GB image classification parquet data up to 10 GPUs # 10 g4dn.12xlarge. -- name: "batch_inference_{{scaling}}" +- name: "image_classification_{{scaling}}" + group: batch-inference cluster: cluster_compute: "{{scaling}}_gpu_compute.yaml" @@ -507,11 +508,12 @@ python gpu_batch_inference.py --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet -- name: batch_inference_chaos +- name: image_classification_chaos stable: False # Don't use 'nightly_tests/dataset' as the working directory because we need to run # the 'setup_chaos.py' script. working_dir: nightly_tests + group: batch-inference cluster: cluster_compute: dataset/autoscaling_gpu_compute.yaml @@ -523,9 +525,10 @@ python dataset/gpu_batch_inference.py --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet --chaos-test -- name: batch_inference_chaos_no_scale_back +- name: image_classification_chaos_no_scale_back stable: False working_dir: nightly_tests + group: batch-inference cluster: cluster_compute: dataset/autoscaling_gpu_compute.yaml @@ -539,7 +542,8 @@ - name: image_embedding_from_uris_{{case}} - frequency: manual + frequency: weekly + group: batch-inference matrix: setup: @@ -568,8 +572,9 @@ script: python image_embedding_from_uris/main.py {{args}} -- name: batch_inference_hetero_{{case}} - frequency: manual +- name: image_embedding_from_jsonl_{{case}} + frequency: weekly + group: batch-inference matrix: setup: @@ -591,16 +596,17 @@ args: --inference-concurrency 40 40 --chaos cluster: - cluster_compute: batch_inference_hetero/{{cluster_type}}_cluster_compute.yaml + cluster_compute: image_embedding_from_jsonl/{{cluster_type}}_cluster_compute.yaml byod: post_build_script: byod_install_pybase64.sh run: timeout: 3600 - script: python batch_inference_hetero/main.py {{args}} + script: python image_embedding_from_jsonl/main.py {{args}} - name: text_embedding_{{case}} - frequency: manual + frequency: weekly + group: batch-inference matrix: setup: From b46b790ae349db1c98ffaf1a705b0292cb1e4838 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 12 Sep 2025 21:43:02 -0700 Subject: [PATCH 1199/1566] [ci] upgrading uv ver 0.8.17 (latest) (#56494) upgrade uv binary --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- WORKSPACE | 8 ++++---- ci/raydepsets/tests/test_cli.py | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/WORKSPACE b/WORKSPACE index 20fd81787491..666b38d06797 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -125,8 +125,8 @@ filegroup( visibility = ["//visibility:public"], ) """, - sha256 = "2c4392591fe9469d006452ef22f32712f35087d87fb1764ec03e23544eb8770d", - urls = ["https://github.com/astral-sh/uv/releases/download/0.8.10/uv-x86_64-unknown-linux-gnu.tar.gz"], + sha256 = "920cbcaad514cc185634f6f0dcd71df5e8f4ee4456d440a22e0f8c0f142a8203", + urls = ["https://github.com/astral-sh/uv/releases/download/0.8.17/uv-x86_64-unknown-linux-gnu.tar.gz"], ) http_archive( @@ -138,8 +138,8 @@ filegroup( visibility = ["//visibility:public"], ) """, - sha256 = "5200278ae00b5c0822a7db7a99376b2167e8e9391b29c3de22f9e4fdebc9c0e8", - urls = ["https://github.com/astral-sh/uv/releases/download/0.8.10/uv-aarch64-apple-darwin.tar.gz"], + sha256 = "e4d4859d7726298daa4c12e114f269ff282b2cfc2b415dc0b2ca44ae2dbd358e", + urls = ["https://github.com/astral-sh/uv/releases/download/0.8.17/uv-aarch64-apple-darwin.tar.gz"], ) http_archive( diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 3dd24d9ee87a..49943b1f7127 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -111,7 +111,7 @@ def test_uv_version(self): stderr=subprocess.PIPE, ) assert result.returncode == 0 - assert "uv 0.8.10" in result.stdout.decode("utf-8") + assert "uv 0.8.17" in result.stdout.decode("utf-8") assert result.stderr.decode("utf-8") == "" def test_compile(self): From f03de60e673abd76ce9711856e558e0b585e81bf Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Sat, 13 Sep 2025 04:41:57 -0700 Subject: [PATCH 1200/1566] [core] Fix ASAN issues in object manager test (#56492) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/mock/ray/gcs/gcs_client/gcs_client.h | 1 + src/ray/object_manager/tests/BUILD.bazel | 2 -- .../object_manager/tests/object_manager_test.cc | 15 +++++---------- 3 files changed, 6 insertions(+), 12 deletions(-) diff --git a/src/mock/ray/gcs/gcs_client/gcs_client.h b/src/mock/ray/gcs/gcs_client/gcs_client.h index a798ef77760d..8c4d15189033 100644 --- a/src/mock/ray/gcs/gcs_client/gcs_client.h +++ b/src/mock/ray/gcs/gcs_client/gcs_client.h @@ -58,6 +58,7 @@ class MockGcsClient : public GcsClient { GcsClient::error_accessor_.reset(mock_error_accessor); GcsClient::worker_accessor_.reset(mock_worker_accessor); GcsClient::placement_group_accessor_.reset(mock_placement_group_accessor); + GcsClient::internal_kv_accessor_.reset(mock_internal_kv_accessor); GcsClient::task_accessor_.reset(mock_task_accessor); } MockActorInfoAccessor *mock_actor_accessor; diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index ac154895c962..437d4c81b4af 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -114,10 +114,8 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/fakes/ray/object_manager/plasma:fake_plasma_client", - "//src/ray/common:test_utils", "//src/ray/object_manager", "//src/ray/rpc/object_manager:fake_object_manager_client", - "//src/ray/util:temporary_directory", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc index 4a6f99f8a1b0..72fe55f7ad2d 100644 --- a/src/ray/object_manager/tests/object_manager_test.cc +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -14,9 +14,6 @@ #include "ray/object_manager/object_manager.h" -#include - -#include #include #include #include @@ -28,13 +25,11 @@ #include "mock/ray/gcs/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_directory.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/buffer.h" #include "ray/common/id.h" #include "ray/common/ray_object.h" #include "ray/common/status.h" #include "ray/object_manager/common.h" #include "ray/rpc/object_manager/fake_object_manager_client.h" -#include "ray/util/temporary_directory.h" namespace ray { @@ -88,17 +83,17 @@ class ObjectManagerTest : public ::testing::Test { NodeID local_node_id_; - std::unique_ptr mock_gcs_client_; - std::unique_ptr mock_object_directory_; - std::unique_ptr object_manager_; - std::shared_ptr fake_plasma_client_; - instrumented_io_context io_context_{/*enable_lag_probe=*/false, /*running_on_single_thread=*/true}; instrumented_io_context rpc_context_{/*enable_lag_probe=*/false, /*running_on_single_thread=*/true}; boost::asio::executor_work_guard io_work_; boost::asio::executor_work_guard rpc_work_; + + std::unique_ptr mock_gcs_client_; + std::unique_ptr mock_object_directory_; + std::unique_ptr object_manager_; + std::shared_ptr fake_plasma_client_; }; uint32_t NumRemoteFreeObjectsRequests(const ObjectManager &object_manager) { From 6c2074f88b7038ab88f0950bd6b07e451d14e110 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Sat, 13 Sep 2025 20:10:07 -0700 Subject: [PATCH 1201/1566] [core] Don't hold shared ptr to client in actor submitter queues (#56448) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../task_submission/actor_task_submitter.cc | 38 ++++++++----------- .../task_submission/actor_task_submitter.h | 5 +-- .../tests/actor_task_submitter_test.cc | 17 +-------- src/ray/rpc/worker/core_worker_client_pool.cc | 3 +- 4 files changed, 20 insertions(+), 43 deletions(-) diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.cc b/src/ray/core_worker/task_submission/actor_task_submitter.cc index 3cf16396d1c2..59c9797dbec2 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.cc +++ b/src/ray/core_worker/task_submission/actor_task_submitter.cc @@ -271,7 +271,7 @@ void ActorTaskSubmitter::CancelDependencyResolution(const TaskID &task_id) { } void ActorTaskSubmitter::DisconnectRpcClient(ClientQueue &queue) { - queue.rpc_client_ = nullptr; + queue.client_address_ = std::nullopt; core_worker_client_pool_.Disconnect(WorkerID::FromBinary(queue.worker_id_)); queue.worker_id_.clear(); } @@ -310,9 +310,9 @@ void ActorTaskSubmitter::ConnectActor(const ActorID &actor_id, return; } - if (queue->second.rpc_client_ && - queue->second.rpc_client_->Addr().ip_address() == address.ip_address() && - queue->second.rpc_client_->Addr().port() == address.port()) { + if (queue->second.client_address_.has_value() && + queue->second.client_address_->ip_address() == address.ip_address() && + queue->second.client_address_->port() == address.port()) { RAY_LOG(DEBUG).WithField(actor_id) << "Skip actor that has already been connected"; return; } @@ -324,7 +324,7 @@ void ActorTaskSubmitter::ConnectActor(const ActorID &actor_id, } queue->second.num_restarts_ = num_restarts; - if (queue->second.rpc_client_) { + if (queue->second.client_address_.has_value()) { // Clear the client to the old version of the actor. DisconnectRpcClient(queue->second); inflight_task_callbacks = std::move(queue->second.inflight_task_callbacks_); @@ -332,10 +332,9 @@ void ActorTaskSubmitter::ConnectActor(const ActorID &actor_id, } queue->second.state_ = rpc::ActorTableData::ALIVE; - // Update the mapping so new RPCs go out with the right intended worker id. + // So new RPCs go out with the right intended worker id to the right address. queue->second.worker_id_ = address.worker_id(); - // Create a new connection to the actor. - queue->second.rpc_client_ = core_worker_client_pool_.GetOrConnect(address); + queue->second.client_address_ = address; SendPendingTasks(actor_id); } @@ -538,7 +537,7 @@ void ActorTaskSubmitter::SendPendingTasks(const ActorID &actor_id) { // and pending tasks will be sent at that time. return; } - if (!client_queue.rpc_client_) { + if (!client_queue.client_address_.has_value()) { if (client_queue.state_ == rpc::ActorTableData::RESTARTING && client_queue.fail_if_actor_unreachable_) { // When `fail_if_actor_unreachable` is true, tasks submitted while the actor is in @@ -599,7 +598,7 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, next_queueing_warn_threshold_ *= 2; } - rpc::Address addr(queue.rpc_client_->Addr()); + auto &addr = queue.client_address_.value(); rpc::ClientCallback reply_callback = [this, addr, task_spec](const Status &status, const rpc::PushTaskReply &reply) { HandlePushTaskReply(status, reply, addr, task_spec); @@ -630,7 +629,7 @@ void ActorTaskSubmitter::PushActorTask(ClientQueue &queue, task_manager_.MarkTaskWaitingForExecution(task_id, NodeID::FromBinary(addr.node_id()), WorkerID::FromBinary(addr.worker_id())); - queue.rpc_client_->PushActorTask( + core_worker_client_pool_.GetOrConnect(addr)->PushActorTask( std::move(request), skip_queue, std::move(wrapped_callback)); } @@ -797,24 +796,17 @@ bool ActorTaskSubmitter::IsActorAlive(const ActorID &actor_id) const { absl::MutexLock lock(&mu_); auto iter = client_queues_.find(actor_id); - return (iter != client_queues_.end() && iter->second.rpc_client_); + return (iter != client_queues_.end() && iter->second.client_address_.has_value()); } std::optional ActorTaskSubmitter::GetActorAddress( const ActorID &actor_id) const { absl::MutexLock lock(&mu_); - auto iter = client_queues_.find(actor_id); if (iter == client_queues_.end()) { return std::nullopt; } - - const auto &rpc_client = iter->second.rpc_client_; - if (rpc_client == nullptr) { - return std::nullopt; - } - - return iter->second.rpc_client_->Addr(); + return iter->second.client_address_; } bool ActorTaskSubmitter::PendingTasksFull(const ActorID &actor_id) const { @@ -938,17 +930,17 @@ void ActorTaskSubmitter::CancelTask(TaskSpecification task_spec, bool recursive) RAY_LOG(DEBUG).WithField(task_id) << "Task was sent to an actor. Send a cancel RPC."; auto queue = client_queues_.find(actor_id); RAY_CHECK(queue != client_queues_.end()); - if (!queue->second.rpc_client_) { + if (!queue->second.client_address_.has_value()) { RetryCancelTask(task_spec, recursive, 1000); return; } - const auto &client = queue->second.rpc_client_; - auto request = rpc::CancelTaskRequest(); + rpc::CancelTaskRequest request; request.set_intended_task_id(task_spec.TaskIdBinary()); request.set_force_kill(force_kill); request.set_recursive(recursive); request.set_caller_worker_id(task_spec.CallerWorkerIdBinary()); + auto client = core_worker_client_pool_.GetOrConnect(*queue->second.client_address_); client->CancelTask(request, [this, task_spec = std::move(task_spec), recursive, task_id]( const Status &status, const rpc::CancelTaskReply &reply) { diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index 9eb41a90298b..b077d7edb77c 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -286,9 +286,8 @@ class ActorTaskSubmitter : public ActorTaskSubmitterInterface { int64_t num_restarts_due_to_lineage_reconstructions_ = 0; /// Whether this actor exits by spot preemption. bool preempted_ = false; - /// The RPC client. We use shared_ptr to enable shared_from_this for - /// pending client callbacks. - std::shared_ptr rpc_client_ = nullptr; + /// The RPC client address. + std::optional client_address_; /// The intended worker ID of the actor. std::string worker_id_; /// The actor is out of scope but the death info is not published diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 3708ad2274bb..0d49e7f8369b 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -85,11 +85,8 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { class ActorTaskSubmitterTest : public ::testing::TestWithParam { public: ActorTaskSubmitterTest() - : client_pool_( - std::make_shared([&](const rpc::Address &addr) { - num_clients_connected_++; - return worker_client_; - })), + : client_pool_(std::make_shared( + [&](const rpc::Address &addr) { return worker_client_; })), worker_client_(std::make_shared()), store_(std::make_shared(io_context)), task_manager_(std::make_shared()), @@ -109,7 +106,6 @@ class ActorTaskSubmitterTest : public ::testing::TestWithParam { void TearDown() override { io_context.stop(); } - int num_clients_connected_ = 0; int64_t last_queue_warning_ = 0; FakeActorCreator actor_creator_; std::shared_ptr client_pool_; @@ -548,7 +544,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { addr.set_port(0); submitter_.ConnectActor(actor_id, addr, 0); ASSERT_EQ(worker_client_->callbacks.size(), 0); - ASSERT_EQ(num_clients_connected_, 1); // Create four tasks for the actor. auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); @@ -561,7 +556,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { // Actor restarts, but we don't receive the disconnect message until later. addr.set_port(1); submitter_.ConnectActor(actor_id, addr, 1); - ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task2 = CreateActorTaskHelper(actor_id, worker_id, 1); submitter_.SubmitTask(task2); @@ -573,7 +567,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { const auto death_cause = CreateMockDeathCause(); submitter_.DisconnectActor( actor_id, 1, /*dead=*/false, death_cause, /*is_restartable=*/true); - ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task3 = CreateActorTaskHelper(actor_id, worker_id, 2); submitter_.SubmitTask(task3); @@ -584,7 +577,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { // The actor dies twice. We receive the last RESTART message first. submitter_.DisconnectActor( actor_id, 3, /*dead=*/false, death_cause, /*is_restartable=*/true); - ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task4 = CreateActorTaskHelper(actor_id, worker_id, 3); submitter_.SubmitTask(task4); @@ -601,19 +593,16 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartOutOfOrderGcs) { submitter_.ConnectActor(actor_id, addr, 2); submitter_.DisconnectActor( actor_id, 2, /*dead=*/false, death_cause, /*is_restartable=*/true); - ASSERT_EQ(num_clients_connected_, 2); // The actor dies permanently. submitter_.DisconnectActor( actor_id, 3, /*dead=*/true, death_cause, /*is_restartable=*/false); - ASSERT_EQ(num_clients_connected_, 2); // We receive more late messages. Nothing happens because the actor is dead. submitter_.DisconnectActor( actor_id, 4, /*dead=*/false, death_cause, /*is_restartable=*/true); addr.set_port(3); submitter_.ConnectActor(actor_id, addr, 4); - ASSERT_EQ(num_clients_connected_, 2); // Submit a task. auto task5 = CreateActorTaskHelper(actor_id, worker_id, 4); EXPECT_CALL(*task_manager_, FailOrRetryPendingTask(task5.TaskId(), _, _, _, _, _)) @@ -635,7 +624,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFailInflightTasks) { /*owned*/ false); submitter_.ConnectActor(actor_id, actor_addr1, 0); ASSERT_EQ(worker_client_->callbacks.size(), 0); - ASSERT_EQ(num_clients_connected_, 1); // Create 3 tasks for the actor. auto task1_first_attempt = CreateActorTaskHelper(actor_id, caller_worker_id, 0); @@ -748,7 +736,6 @@ TEST_P(ActorTaskSubmitterTest, TestActorRestartFastFail) { addr.set_port(0); submitter_.ConnectActor(actor_id, addr, 0); ASSERT_EQ(worker_client_->callbacks.size(), 0); - ASSERT_EQ(num_clients_connected_, 1); auto task1 = CreateActorTaskHelper(actor_id, worker_id, 0); // Submit a task. diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index c66b860daaaf..33a1c673ccf5 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -39,8 +39,7 @@ std::function CoreWorkerClientPool::GetDefaultUnavailableTimeoutCallback node_id](const rpc::GcsNodeInfo &node_info) { auto raylet_addr = RayletClientPool::GenerateRayletAddress( node_id, node_info.node_manager_address(), node_info.node_manager_port()); - auto raylet_client = - raylet_client_pool->GetOrConnectByAddress(std::move(raylet_addr)); + auto raylet_client = raylet_client_pool->GetOrConnectByAddress(raylet_addr); raylet_client->IsLocalWorkerDead( worker_id, [worker_client_pool, worker_id, node_id](const Status &status, From 4410fb77eed3a11ed8551f4879822eb754806136 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Sun, 14 Sep 2025 01:38:40 -0700 Subject: [PATCH 1202/1566] [core] Fixing timeout in test_object_spilling_3.py (#56512) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_object_spilling_3.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/ray/tests/test_object_spilling_3.py b/python/ray/tests/test_object_spilling_3.py index a74596088eee..7b53228e0dc4 100644 --- a/python/ray/tests/test_object_spilling_3.py +++ b/python/ray/tests/test_object_spilling_3.py @@ -330,6 +330,8 @@ def test_spill_reconstruction_errors(ray_start_cluster, object_spilling_config): "max_direct_call_object_size": 100, "task_retry_delay_ms": 100, "object_timeout_milliseconds": 200, + # Required for reducing the retry time of RequestWorkerLease + "raylet_rpc_server_reconnect_timeout_s": 0, } cluster = ray_start_cluster # Head node with no resources. From d32fe83cf56b22bdc06967ee25377d52a4108cb4 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Sun, 14 Sep 2025 22:44:29 -0700 Subject: [PATCH 1203/1566] [core] Fix UBSAN errors in object_manager_test (#56521) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/object_manager/tests/object_manager_test.cc | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc index 72fe55f7ad2d..7010ee53a7b8 100644 --- a/src/ray/object_manager/tests/object_manager_test.cc +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -26,6 +26,7 @@ #include "mock/ray/object_manager/object_directory.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" +#include "ray/common/ray_config.h" #include "ray/common/ray_object.h" #include "ray/common/status.h" #include "ray/object_manager/common.h" @@ -45,8 +46,15 @@ class ObjectManagerTest : public ::testing::Test { ObjectManagerConfig config_; config_.object_manager_address = "127.0.0.1"; config_.object_manager_port = 0; + config_.timer_freq_ms = RayConfig::instance().object_manager_timer_freq_ms(); + config_.pull_timeout_ms = RayConfig::instance().object_manager_pull_timeout_ms(); + config_.object_chunk_size = RayConfig::instance().object_manager_default_chunk_size(); + config_.max_bytes_in_flight = + RayConfig::instance().object_manager_max_bytes_in_flight(); config_.store_socket_name = "test_store_socket"; + config_.push_timeout_ms = RayConfig::instance().object_manager_push_timeout_ms(); config_.rpc_service_threads_number = 1; + config_.huge_pages = false; local_node_id_ = NodeID::FromRandom(); mock_gcs_client_ = std::make_unique(); From 9b02d019537ae3171e5671fcd3984063bb35ea67 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Mon, 15 Sep 2025 02:18:51 -0700 Subject: [PATCH 1204/1566] [core] Creating non-linux implementation for sysfs_cgroup_driver. (#56483) Signed-off-by: Ibrahim Rabbani Signed-off-by: israbbani Co-authored-by: Ibrahim Rabbani Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/common/cgroup2/BUILD.bazel | 35 ++++----- .../cgroup2/noop_sysfs_cgroup_driver.cc | 74 +++++++++++++++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 6 ++ src/ray/common/cgroup2/sysfs_cgroup_driver.h | 18 ++--- 4 files changed, 101 insertions(+), 32 deletions(-) create mode 100644 src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index a3f39c7040ad..b2becaa0575b 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -12,7 +12,10 @@ ray_cc_library( ":is_linux": ["cgroup_manager.cc"], "//conditions:default": ["noop_cgroup_manager.cc"], }), - hdrs = ["cgroup_manager.h"], + hdrs = [ + "cgroup_manager.h", + "scoped_cgroup_operation.h", + ], visibility = ["//visibility:public"], deps = [ ":cgroup_driver_interface", @@ -21,7 +24,6 @@ ray_cc_library( "//src/ray/common:status_or", ] + select({ ":is_linux": [ - ":scoped_cgroup_operation", "//src/ray/util:logging", "@com_google_absl//absl/strings", ], @@ -55,35 +57,28 @@ ray_cc_library( ray_cc_library( name = "sysfs_cgroup_driver", - srcs = ["sysfs_cgroup_driver.cc"], + srcs = select({ + ":is_linux": ["sysfs_cgroup_driver.cc"], + "//conditions:default": ["noop_sysfs_cgroup_driver.cc"], + }), hdrs = [ "sysfs_cgroup_driver.h", ], - target_compatible_with = [ - "@platforms//os:linux", - ], visibility = ["//visibility:public"], deps = [ ":cgroup_driver_interface", "//src/ray/common:status", "//src/ray/common:status_or", - "//src/ray/util:logging", - "@com_google_absl//absl/strings", - ], + ] + select({ + ":is_linux": [ + "//src/ray/util:logging", + "@com_google_absl//absl/strings", + ], + "//conditions:default": [], + }), ) # Private Targets. -ray_cc_library( - name = "scoped_cgroup_operation", - hdrs = [ - "scoped_cgroup_operation.h", - ], - target_compatible_with = [ - "@platforms//os:linux", - ], - visibility = [":__subpackages__"], -) - ray_cc_library( name = "fake_cgroup_driver", hdrs = [ diff --git a/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc new file mode 100644 index 000000000000..b448f021a8ad --- /dev/null +++ b/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc @@ -0,0 +1,74 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include +#include + +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" +#include "ray/common/status.h" +#include "ray/common/status_or.h" + +namespace ray { +Status SysFsCgroupDriver::CheckCgroupv2Enabled() { return Status::OK(); } + +Status SysFsCgroupDriver::CheckCgroup(const std::string &cgroup_path) { + return Status::OK(); +} + +Status SysFsCgroupDriver::CreateCgroup(const std::string &cgroup_path) { + return Status::OK(); +} + +Status SysFsCgroupDriver::DeleteCgroup(const std::string &cgroup_path) { + return Status::OK(); +} + +StatusOr> SysFsCgroupDriver::GetAvailableControllers( + const std::string &cgroup_dir) { + return std::unordered_set{}; +} + +StatusOr> SysFsCgroupDriver::GetEnabledControllers( + const std::string &cgroup_dir) { + return std::unordered_set{}; +} + +Status SysFsCgroupDriver::MoveAllProcesses(const std::string &from, + const std::string &to) { + return Status::OK(); +} + +Status SysFsCgroupDriver::EnableController(const std::string &cgroup_path, + const std::string &controller) { + return Status::OK(); +} + +Status SysFsCgroupDriver::DisableController(const std::string &cgroup_path, + const std::string &controller) { + return Status::OK(); +} + +Status SysFsCgroupDriver::AddConstraint(const std::string &cgroup_path, + const std::string &controller, + const std::string &constraint, + const std::string &constraint_value) { + return Status::OK(); +} + +StatusOr> SysFsCgroupDriver::ReadControllerFile( + const std::string &controller_file_path) { + return std::unordered_set{}; +} + +} // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index b36960c6127c..afa5be6ce544 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -37,6 +37,12 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" +// Used to identify if a filesystem is mounted using cgroupv2. +// See: https://docs.kernel.org/admin-guide/cgroup-v2.html#mounting +#ifndef CGROUP2_SUPER_MAGIC +#define CGROUP2_SUPER_MAGIC 0x63677270 +#endif + namespace ray { Status SysFsCgroupDriver::CheckCgroupv2Enabled() { FILE *fp = setmntent(mount_file_path_.c_str(), "r"); diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.h b/src/ray/common/cgroup2/sysfs_cgroup_driver.h index de5104caeec6..6b01fbe4886f 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.h +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.h @@ -13,8 +13,10 @@ // limitations under the License. #pragma once -#include -#include +// TODO(#54703): SysFsCgroupDriver should not be a public target. +// It will be hidden behind a CgroupManagerFactory which will create +// an appropriate depending on configuration and platform. +// #include #include #include @@ -24,12 +26,6 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" -// Used to identify if a filesystem is mounted using cgroupv2. -// See: https://docs.kernel.org/admin-guide/cgroup-v2.html#mounting -#ifndef CGROUP2_SUPER_MAGIC -#define CGROUP2_SUPER_MAGIC 0x63677270 -#endif - namespace ray { /** @@ -46,12 +42,9 @@ namespace ray { class SysFsCgroupDriver : public CgroupDriverInterface { public: /** - * MOUNTED is defined in mntent.h (and typically refers to /etc/mtab) - * @see https://www.gnu.org/software/libc/manual/2.24/html_node/Mount-Information.html - * * @param mount_file_path only used for testing. */ - explicit SysFsCgroupDriver(std::string mount_file_path = MOUNTED) + explicit SysFsCgroupDriver(std::string mount_file_path = kMountFilePath) : mount_file_path_(std::move(mount_file_path)) {} ~SysFsCgroupDriver() override = default; @@ -280,5 +273,6 @@ class SysFsCgroupDriver : public CgroupDriverInterface { static constexpr std::string_view kCgroupSubtreeControlFilename = "cgroup.subtree_control"; static constexpr std::string_view kCgroupControllersFilename = "cgroup.controllers"; + static inline std::string kMountFilePath = "/etc/mtab"; }; } // namespace ray From 9ceb32a77b51114eace4a8700cdc4afc81e6c83d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 15 Sep 2025 08:42:05 -0700 Subject: [PATCH 1205/1566] [image] add label for ray version and commit (#56493) so that it is easier to detect the ray version in the image Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/build/build-ray-docker.sh | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/ci/build/build-ray-docker.sh b/ci/build/build-ray-docker.sh index 59857533d5ee..86325491d97f 100755 --- a/ci/build/build-ray-docker.sh +++ b/ci/build/build-ray-docker.sh @@ -7,6 +7,9 @@ CONSTRAINTS_FILE="$3" DEST_IMAGE="$4" PIP_FREEZE_FILE="$5" +RAY_VERSION="$(python python/ray/_version.py | cut -d' ' -f1)" +RAY_COMMIT="$(git rev-parse HEAD)" + CPU_TMP="$(mktemp -d)" cp -r .whl "${CPU_TMP}/.whl" @@ -20,6 +23,8 @@ tar --mtime="UTC 2020-01-01" -c -f - . \ --build-arg FULL_BASE_IMAGE="$SOURCE_IMAGE" \ --build-arg WHEEL_PATH=".whl/${WHEEL_NAME}" \ --build-arg CONSTRAINTS_FILE="$CONSTRAINTS_FILE" \ + --label "io.ray.ray-version=$RAY_VERSION" \ + --label "io.ray.ray-commit=$RAY_COMMIT" \ -t "$DEST_IMAGE" -f Dockerfile - # Copy the pip freeze file to the artifact mount. From f72d05c922749a4b0bb1849867ee9195f657ff8e Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 15 Sep 2025 11:04:00 -0500 Subject: [PATCH 1206/1566] [core] Fix `clang-format` pre-commit step (#56534) The existing one seemed to do nothing... swapped to using the recommendation from this [stack overflow post](https://stackoverflow.com/questions/55965712/how-do-i-add-clang-formatting-to-pre-commit-hook). --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .pre-commit-config.yaml | 7 ++++--- ci/lint/format.sh | 1 + 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index fb79122d44b8..4029869cda16 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -175,11 +175,12 @@ repos: # 1091: Not following {file} due to some error # 2207: Prefer mapfile or read -a to split command output (or quote to avoid splitting). -- these aren't compatible with macOS's old Bash - - repo: https://github.com/pocc/pre-commit-hooks - rev: v1.3.5 + - repo: https://github.com/pre-commit/mirrors-clang-format + # `rev` specifies a tag on the above repo that mirrors the corresponding clang-format version. + # The version should be kept in sync with the version in `ci/lint/format.sh`. + rev: v12.0.1 hooks: - id: clang-format - args: [--version=12.0.1] - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks rev: v2.11.0 diff --git a/ci/lint/format.sh b/ci/lint/format.sh index a540b3d65e21..b2a98d1527bb 100755 --- a/ci/lint/format.sh +++ b/ci/lint/format.sh @@ -88,6 +88,7 @@ else fi if command -v clang-format >/dev/null; then + # This version should be kept in sync with the clang-format version tag in `.pre-commit-config.yaml`. CLANG_FORMAT_VERSION=$(clang-format --version | awk '{print $3}') tool_version_check "clang-format" "$CLANG_FORMAT_VERSION" "12.0.1" else From 71cdf3966f674f2c1fdcb15347186cde533ee835 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 15 Sep 2025 09:06:43 -0700 Subject: [PATCH 1207/1566] [ci][deps] raydepsets: building ray img lockfiles (#56444) building ray img lockfiles for all supported python versions --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 25 - .buildkite/dependencies.rayci.yml | 15 +- ci/build/build-placeholder-wheel.sh | 11 + ci/docker/manylinux.Dockerfile | 3 + ci/raydepsets/cli.py | 1 - ci/raydepsets/rayimg.depsets.yaml | 31 + ci/raydepsets/rayllm.depsets.yaml | 1 + ci/raydepsets/tests/test_cli.py | 2 - python/deplocks/llm/ray_py311_cpu.lock | 2 +- python/deplocks/llm/ray_py311_cu121.lock | 2 +- python/deplocks/llm/ray_py311_cu128.lock | 2 +- python/deplocks/llm/ray_test_py311_cpu.lock | 2 +- python/deplocks/llm/ray_test_py311_cu121.lock | 2 +- python/deplocks/llm/ray_test_py311_cu128.lock | 2 +- python/deplocks/llm/rayllm_py311_cpu.lock | 2 +- python/deplocks/llm/rayllm_py311_cu121.lock | 4 +- python/deplocks/llm/rayllm_py311_cu128.lock | 4 +- .../deplocks/llm/rayllm_test_py311_cpu.lock | 4 +- .../deplocks/llm/rayllm_test_py311_cu121.lock | 4 +- .../deplocks/llm/rayllm_test_py311_cu128.lock | 4 +- python/deplocks/ray_img/ray_img_py310.lock | 2173 +++++++++++++++++ python/deplocks/ray_img/ray_img_py311.lock | 2162 ++++++++++++++++ python/deplocks/ray_img/ray_img_py312.lock | 2172 ++++++++++++++++ python/deplocks/ray_img/ray_img_py39.lock | 2173 +++++++++++++++++ 24 files changed, 8756 insertions(+), 47 deletions(-) create mode 100755 ci/build/build-placeholder-wheel.sh create mode 100644 ci/raydepsets/rayimg.depsets.yaml create mode 100644 python/deplocks/ray_img/ray_img_py310.lock create mode 100644 python/deplocks/ray_img/ray_img_py311.lock create mode 100644 python/deplocks/ray_img/ray_img_py312.lock create mode 100644 python/deplocks/ray_img/ray_img_py39.lock diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 3ca111f3ad16..01256a3b63c8 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -19,31 +19,6 @@ steps: - manylinux - forge - - label: ":tapioca: build & test placeholder wheel {{matrix}}" - key: placeholder_wheels - tags: - - python - instance_type: medium - commands: - # validate minimal installation - - python ./ci/env/check_minimal_install.py --expected-python-version {{matrix}} - - python -m pip install --upgrade pip - # build placeholder wheel - - export RAY_DEBUG_BUILD=deps-only - - mkdir -p .whl - - pip wheel python/ --no-deps -w .whl/ --use-pep517 - - ls -a .whl - # test placeholder wheel - - ./ci/build/test-linux-placeholder-wheel.sh {{matrix}} - depends_on: - - minbuild-core - job_env: minbuild-core-py{{matrix}} - matrix: - - "3.9" - - "3.10" - - "3.11" - - "3.12" - - label: ":tapioca: build: jar" key: java_wheels tags: diff --git a/.buildkite/dependencies.rayci.yml b/.buildkite/dependencies.rayci.yml index 002b0899d4ed..2620a7ee399c 100644 --- a/.buildkite/dependencies.rayci.yml +++ b/.buildkite/dependencies.rayci.yml @@ -25,5 +25,16 @@ steps: instance_type: small command: ./ci/test_compile_llm_requirements.sh job_env: manylinux - depends_on: - - manylinux + depends_on: manylinux + + - label: ":tapioca: build: raydepsets: compile ray img dependencies" + key: raydepsets_compile_rayimg_dependencies + tags: always + instance_type: medium + commands: + # build placeholder wheel for all python versions + - bash ci/build/build-placeholder-wheel.sh + # compile rayimg dependencies + - bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayimg.depsets.yaml --check + job_env: manylinux + depends_on: manylinux diff --git a/ci/build/build-placeholder-wheel.sh b/ci/build/build-placeholder-wheel.sh new file mode 100755 index 000000000000..effa117c3da8 --- /dev/null +++ b/ci/build/build-placeholder-wheel.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +set -exuo pipefail + +export RAY_DEBUG_BUILD=deps-only + +PYTHON_VERSIONS=("3.9" "3.10" "3.11" "3.12") + +for PYTHON_VERSION in "${PYTHON_VERSIONS[@]}"; do + uv build --wheel --directory python/ -o ../.whl/ --force-pep517 --python "$PYTHON_VERSION" +done diff --git a/ci/docker/manylinux.Dockerfile b/ci/docker/manylinux.Dockerfile index c9c3111b3077..7a243e5033f1 100644 --- a/ci/docker/manylinux.Dockerfile +++ b/ci/docker/manylinux.Dockerfile @@ -13,6 +13,9 @@ ENV BUILDKITE_BAZEL_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL RUN yum -y install sudo +RUN curl -LsSf https://astral.sh/uv/0.8.17/install.sh | \ + env UV_INSTALL_DIR=/usr/local/bin sh + COPY ci/build/build-manylinux-forge.sh /tmp/build-manylinux-forge.sh RUN ./tmp/build-manylinux-forge.sh diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 0f9aa59e66e2..6e73b7b5b13e 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -16,7 +16,6 @@ DEFAULT_UV_FLAGS = """ --generate-hashes --strip-extras - --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/ci/raydepsets/rayimg.depsets.yaml b/ci/raydepsets/rayimg.depsets.yaml new file mode 100644 index 000000000000..88b0a3d341de --- /dev/null +++ b/ci/raydepsets/rayimg.depsets.yaml @@ -0,0 +1,31 @@ +build_arg_sets: + py39: + PYTHON_VERSION: "3.9" + PYTHON_SHORT: "39" + py310: + PYTHON_VERSION: "3.10" + PYTHON_SHORT: "310" + py311: + PYTHON_VERSION: "3.11" + PYTHON_SHORT: "311" + py312: + PYTHON_VERSION: "3.12" + PYTHON_SHORT: "312" + + +depsets: + - name: ray_img_depset_${PYTHON_SHORT} + packages: + - ray[all]==100.0.0-dev + constraints: + - python/requirements_compiled.txt + output: python/deplocks/ray_img/ray_img_py${PYTHON_SHORT}.lock + operation: compile + append_flags: + - --python-version=${PYTHON_VERSION} + - --find-links=.whl/ + build_arg_sets: + - py39 + - py310 + - py311 + - py312 diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index e34be3bd104c..b6ed8fb51cec 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -15,6 +15,7 @@ build_arg_sets: - --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE} append_flags: - --python-version=3.11 + - --unsafe-package ray - --python-platform=linux build_arg_sets: - cpu diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 49943b1f7127..d44ce195711f 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -352,8 +352,6 @@ def test_override_uv_flag_single_flag(self): def test_override_uv_flag_multiple_flags(self): expected_flags = DEFAULT_UV_FLAGS.copy() expected_flags.remove("--unsafe-package") - expected_flags.remove("ray") - expected_flags.remove("--unsafe-package") expected_flags.remove("setuptools") expected_flags.extend(["--unsafe-package", "dummy"]) assert ( diff --git a/python/deplocks/llm/ray_py311_cpu.lock b/python/deplocks/llm/ray_py311_cpu.lock index 943eb4050549..9e76d9282fb9 100644 --- a/python/deplocks/llm/ray_py311_cpu.lock +++ b/python/deplocks/llm/ray_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/ray_py311_cu121.lock b/python/deplocks/llm/ray_py311_cu121.lock index e1d9eee4a8ef..e9a88445ed84 100644 --- a/python/deplocks/llm/ray_py311_cu121.lock +++ b/python/deplocks/llm/ray_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/ray_py311_cu128.lock b/python/deplocks/llm/ray_py311_cu128.lock index a685eb63910c..d65b8adf1934 100644 --- a/python/deplocks/llm/ray_py311_cu128.lock +++ b/python/deplocks/llm/ray_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index 34f24980a9f5..2681827678b0 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index 833d864f0280..d61e27a0a6c9 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index 19466b6fc222..058fe256012f 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/llm/rayllm_py311_cpu.lock b/python/deplocks/llm/rayllm_py311_cpu.lock index 89da379ee9c5..de5b155c04c0 100644 --- a/python/deplocks/llm/rayllm_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cpu.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cpu.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/rayllm_py311_cu121.lock b/python/deplocks/llm/rayllm_py311_cu121.lock index 7a291b4f9eac..777b41bc8ccd 100644 --- a/python/deplocks/llm/rayllm_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu121.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu121.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -3964,5 +3964,5 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# ray # setuptools +# ray diff --git a/python/deplocks/llm/rayllm_py311_cu128.lock b/python/deplocks/llm/rayllm_py311_cu128.lock index 41dcc9dce7dc..1af647c3d386 100644 --- a/python/deplocks/llm/rayllm_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu128.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu128.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -3855,5 +3855,5 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# ray # setuptools +# ray diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index 27b0f5a357e6..acbc353b49cb 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu @@ -5092,5 +5092,5 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# ray # setuptools +# ray diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index be1ce34fce70..17c70071f3fb 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 @@ -5203,5 +5203,5 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# ray # setuptools +# ray diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index df88832ae1be..51ce2f2ab445 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package ray --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 @@ -5093,5 +5093,5 @@ zipp==3.19.2 \ # importlib-metadata # The following packages were excluded from the output: -# ray # setuptools +# ray diff --git a/python/deplocks/ray_img/ray_img_py310.lock b/python/deplocks/ray_img/ray_img_py310.lock new file mode 100644 index 000000000000..c6d9fab2624b --- /dev/null +++ b/python/deplocks/ray_img/ray_img_py310.lock @@ -0,0 +1,2173 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py310.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links .whl/ +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # aiohttp-cors + # ray +aiohttp-cors==0.7.0 \ + --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ + --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d + # via + # -c python/requirements_compiled.txt + # ray +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled.txt + # kombu +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # starlette + # watchfiles +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled.txt + # celery +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled.txt + # ray +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # requests +cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # celery + # click-didyoumean + # click-plugins + # click-repl + # ray + # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled.txt + # celery +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # gymnasium +colorful==0.5.5 \ + --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ + --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d + # via + # -c python/requirements_compiled.txt + # ray +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # pyopenssl +cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ + --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ + --hash=sha256:2d16eaa2d086e416ac13467d4ff3184b9a081fe76b761ce51d4a46ec1c4bd28a \ + --hash=sha256:432273fd4b61a284f7d705d08b8291403548fd422bcbd945635cc155bc6a923d \ + --hash=sha256:4c51a1062a3c5a826b0425952d229ffe73b1791656a31de95b318117e67a9576 \ + --hash=sha256:4c8e9fdb1f3ffc3151808f8bb8c871518d2783e1be8b53792b698a840543d60c \ + --hash=sha256:51b1d6cb83d82dfa306c9efaeb4d57f24bad3041ebd8716d61072676abbcf67b \ + --hash=sha256:52185a2cf95d3bac2c3fda95c9c8e06a985b5a00cd2e587d3caace337db33899 \ + --hash=sha256:5afb6658faa22f21479ae2c0a07254df31c0aebc36907a64a1f6be4ecc9e96da \ + --hash=sha256:d3dc91ef9c4104652195eea4b282d343ecad653021efe20d1c8dd8dfe8ccfd86 \ + --hash=sha256:d60d1e124592cb82a5f3f45b3e7bee7bda7b72a743029f275e9d6b125f338c60 \ + --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ + --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa + # via + # -c python/requirements_compiled.txt + # ray +distlib==0.3.7 \ + --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ + --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 + # via + # -c python/requirements_compiled.txt + # virtualenv +dm-tree==0.1.8 \ + --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ + --hash=sha256:09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760 \ + --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \ + --hash=sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf \ + --hash=sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430 \ + --hash=sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de \ + --hash=sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317 \ + --hash=sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca \ + --hash=sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913 \ + --hash=sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf \ + --hash=sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef \ + --hash=sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426 \ + --hash=sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1 \ + --hash=sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e \ + --hash=sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60 \ + --hash=sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5 \ + --hash=sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f \ + --hash=sha256:435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b \ + --hash=sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410 \ + --hash=sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134 \ + --hash=sha256:75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb \ + --hash=sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b \ + --hash=sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7 \ + --hash=sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393 \ + --hash=sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571 \ + --hash=sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368 \ + --hash=sha256:94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22 \ + --hash=sha256:96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715 \ + --hash=sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80 \ + --hash=sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7 \ + --hash=sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d \ + --hash=sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a \ + --hash=sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d \ + --hash=sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6 \ + --hash=sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5 \ + --hash=sha256:c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e \ + --hash=sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68 \ + --hash=sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8 \ + --hash=sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f \ + --hash=sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436 \ + --hash=sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee \ + --hash=sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb \ + --hash=sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144 \ + --hash=sha256:ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8 \ + --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ + --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d + # via + # -c python/requirements_compiled.txt + # ray +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via anyio +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # ray +fastrlock==0.8.2 ; sys_platform != 'darwin' \ + --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ + --hash=sha256:07ed3c7b3867c05a3d6be4ced200c7767000f3431b9be6da66972822dd86e8be \ + --hash=sha256:08315bde19d0c2e6b06593d5a418be3dc8f9b1ee721afa96867b9853fceb45cf \ + --hash=sha256:11bbbbc526363955aeddb9eec4cee2a0012322b7b2f15b54f44454fcf4fd398a \ + --hash=sha256:17734e2e5af4c07ddb0fb10bd484e062c22de3be6b67940b9cc6ec2f18fa61ba \ + --hash=sha256:1b15430b93d7eb3d56f6ff690d2ebecb79ed0e58248427717eba150a508d1cd7 \ + --hash=sha256:1fed2f4797ad68e9982038423018cf08bec5f4ce9fed63a94a790773ed6a795c \ + --hash=sha256:2074548a335fcf7d19ebb18d9208da9e33b06f745754466a7e001d2b1c58dd19 \ + --hash=sha256:2587cedbb36c7988e707d83f0f1175c1f882f362b5ebbee25d70218ea33d220d \ + --hash=sha256:25945f962c7bd808415cfde3da624d4399d4ea71ed8918538375f16bceb79e1c \ + --hash=sha256:27786c62a400e282756ae1b090bcd7cfa35f28270cff65a9e7b27a5327a32561 \ + --hash=sha256:2c1719ddc8218b01e82fb2e82e8451bd65076cb96d7bef4477194bbb4305a968 \ + --hash=sha256:2d5595903444c854b99c42122b87edfe8a37cd698a4eae32f4fd1d2a7b6c115d \ + --hash=sha256:30bdbe4662992348132d03996700e1cf910d141d629179b967b146a22942264e \ + --hash=sha256:31a27a2edf482df72b91fe6c6438314d2c65290aa7becc55589d156c9b91f0da \ + --hash=sha256:320fd55bafee3eb069cfb5d6491f811a912758387ef2193840e2663e80e16f48 \ + --hash=sha256:33145acbad8317584cd64588131c7e1e286beef6280c0009b4544c91fce171d2 \ + --hash=sha256:43a241655e83e4603a152192cf022d5ca348c2f4e56dfb02e5c9c4c1a32f9cdb \ + --hash=sha256:4d63b6596368dab9e0cc66bf047e7182a56f33b34db141816a4f21f5bf958228 \ + --hash=sha256:4fb04442b6d1e2b36c774919c6bcbe3339c61b337261d4bd57e27932589095af \ + --hash=sha256:4fb2e77ff04bc4beb71d63c8e064f052ce5a6ea1e001d528d4d7f4b37d736f2e \ + --hash=sha256:5460c5ee6ced6d61ec8cd2324ebbe793a4960c4ffa2131ffff480e3b61c99ec5 \ + --hash=sha256:59344c1d46b7dec97d3f22f1cc930fafe8980b3c5bc9c9765c56738a5f1559e4 \ + --hash=sha256:5dfb78dd600a12f23fc0c3ec58f81336229fdc74501ecf378d1ce5b3f2f313ea \ + --hash=sha256:643e1e65b4f5b284427e61a894d876d10459820e93aa1e724dfb415117be24e0 \ + --hash=sha256:644ec9215cf9c4df8028d8511379a15d9c1af3e16d80e47f1b6fdc6ba118356a \ + --hash=sha256:66f2662c640bb71a1016a031eea6eef9d25c2bcdf7ffd1d1ddc5a58f9a1ced04 \ + --hash=sha256:685e656048b59d8dfde8c601f188ad53a4d719eb97080cafc8696cda6d75865e \ + --hash=sha256:7269bb3fc15587b0c191eecd95831d771a7d80f0c48929e560806b038ff3066c \ + --hash=sha256:73426f5eb2ecc10626c67cf86bd0af9e00d53e80e5c67d5ce8e18376d6abfa09 \ + --hash=sha256:75c07726c8b1a52147fd7987d6baaa318c5dced1416c3f25593e40f56e10755b \ + --hash=sha256:790fc19bccbd39426060047e53629f171a44745613bf360a045e9f9c8c4a2cea \ + --hash=sha256:7a2ccaf88ac0db153e84305d1ef0aa138cea82c6a88309066f6eaa3bc98636cd \ + --hash=sha256:87f4e01b042c84e6090dbc4fbe3415ddd69f6bc0130382323f9d3f1b8dd71b46 \ + --hash=sha256:88f079335e9da631efa64486c8207564a7bcd0c00526bb9e842e9d5b7e50a6cc \ + --hash=sha256:8c1c91a68926421f5ccbc82c85f83bd3ba593b121a46a1b9a554b3f0dd67a4bf \ + --hash=sha256:9121a894d74e65557e47e777060a495ab85f4b903e80dd73a3c940ba042920d7 \ + --hash=sha256:94e348c72a1fd1f8191f25ea056448e4f5a87b8fbf005b39d290dcb0581a48cd \ + --hash=sha256:98195866d3a9949915935d40a88e4f1c166e82e378f622c88025f2938624a90a \ + --hash=sha256:99dd6652bd6f730beadf74ef769d38c6bbd8ee6d1c15c8d138ea680b0594387f \ + --hash=sha256:9af691a9861027181d4de07ed74f0aee12a9650ac60d0a07f4320bff84b5d95f \ + --hash=sha256:a3b8b5d2935403f1b4b25ae324560e94b59593a38c0d2e7b6c9872126a9622ed \ + --hash=sha256:a3dcc876050b8f5cbc0ee84ef1e7f0c1dfe7c148f10098828bc4403683c33f10 \ + --hash=sha256:a74f5a92fa6e51c4f3c69b29c4662088b97be12f40652a21109605a175c81824 \ + --hash=sha256:ab91b0c36e95d42e1041a4907e3eefd06c482d53af3c7a77be7e214cc7cd4a63 \ + --hash=sha256:ad1bc61c7f6b0e58106aaab034916b6cb041757f708b07fbcdd9d6e1ac629225 \ + --hash=sha256:adcb9e77aa132cc6c9de2ffe7cf880a20aa8cdba21d367d1da1a412f57bddd5d \ + --hash=sha256:b22ea9bf5f9fad2b0077e944a7813f91593a4f61adf8faf734a70aed3f2b3a40 \ + --hash=sha256:b2a1c354f13f22b737621d914f3b4a8434ae69d3027a775e94b3e671756112f9 \ + --hash=sha256:b32fdf874868326351a75b1e4c02f97e802147119ae44c52d3d9da193ec34f5b \ + --hash=sha256:b3853ed4ce522598dc886160a7bab432a093051af85891fa2f5577c1dcac8ed6 \ + --hash=sha256:b443e73a4dfc7b6e0800ea4c13567b9694358e86f53bb2612a51c9e727cac67b \ + --hash=sha256:b4c9083ea89ab236b06e9ef2263971db3b4b507195fc7d5eecab95828dcae325 \ + --hash=sha256:b8ca0fe21458457077e4cb2d81e1ebdb146a00b3e9e2db6180a773f7ea905032 \ + --hash=sha256:c393af77c659a38bffbca215c0bcc8629ba4299568308dd7e4ff65d62cabed39 \ + --hash=sha256:c6bffa978793bea5e1b00e677062e53a62255439339591b70e209fa1552d5ee0 \ + --hash=sha256:ccf39ad5702e33e4d335b48ef9d56e21619b529b7f7471b5211419f380329b62 \ + --hash=sha256:cf81e0278b645004388873e0a1f9e3bc4c9ab8c18e377b14ed1a544be4b18c9a \ + --hash=sha256:d34546ad2e4a480b94b6797bcc5a322b3c705c4c74c3e4e545c4a3841c1b2d59 \ + --hash=sha256:d47713ffe6d4a627fbf078be9836a95ac106b4a0543e3841572c91e292a5d885 \ + --hash=sha256:d918dfe473291e8bfd8e13223ea5cb9b317bd9f50c280923776c377f7c64b428 \ + --hash=sha256:dbdce852e6bb66e1b8c36679d482971d69d93acf1785657522e51b7de30c3356 \ + --hash=sha256:dcc1bf0ac8a194313cf6e645e300a8a379674ceed8e0b1e910a2de3e3c28989e \ + --hash=sha256:dd961a32a7182c3891cdebca417fda67496d5d5de6ae636962254d22723bdf52 \ + --hash=sha256:ddf5d247f686aec853ddcc9a1234bfcc6f57b0a0670d2ad82fc25d8ae7e6a15f \ + --hash=sha256:e27c3cd27fbd25e5223c5c992b300cd4ee8f0a75c6f222ce65838138d853712c \ + --hash=sha256:e380ec4e6d8b26e389713995a43cb7fe56baea2d25fe073d4998c4821a026211 \ + --hash=sha256:e4bbde174a0aff5f6eeba75cf8c4c5d2a316316bc21f03a0bddca0fc3659a6f3 \ + --hash=sha256:e8b49b5743ede51e0bcf6805741f39f5e0e0fd6a172ba460cb39e3097ba803bb \ + --hash=sha256:e9904b5b37c3e5bb4a245c56bc4b7e497da57ffb8528f4fc39af9dcb168ee2e1 \ + --hash=sha256:ea96503b918fceaf40443182742b8964d47b65c5ebdea532893cb9479620000c \ + --hash=sha256:eb31fe390f03f7ae886dcc374f1099ec88526631a4cb891d399b68181f154ff0 \ + --hash=sha256:ebb32d776b61acd49f859a1d16b9e3d84e7b46d0d92aebd58acd54dc38e96664 \ + --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ + --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # ray + # virtualenv +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # ray +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # opencensus +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # google-api-core +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # ray +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # ray +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # uvicorn +httptools==0.6.4 \ + --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ + --hash=sha256:0e563e54979e97b6d13f1bbc05a96109923e76b901f786a5eae36e99c01237bd \ + --hash=sha256:16e603a3bff50db08cd578d54f07032ca1631450ceb972c2f834c2b860c28ea2 \ + --hash=sha256:288cd628406cc53f9a541cfaf06041b4c71d751856bab45e3702191f931ccd17 \ + --hash=sha256:28908df1b9bb8187393d5b5db91435ccc9c8e891657f9cbb42a2541b44c82fc8 \ + --hash=sha256:322d20ea9cdd1fa98bd6a74b77e2ec5b818abdc3d36695ab402a0de8ef2865a3 \ + --hash=sha256:342dd6946aa6bda4b8f18c734576106b8a31f2fe31492881a9a160ec84ff4bd5 \ + --hash=sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da \ + --hash=sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0 \ + --hash=sha256:40a5ec98d3f49904b9fe36827dcf1aadfef3b89e2bd05b0e35e94f97c2b14721 \ + --hash=sha256:40b0f7fe4fd38e6a507bdb751db0379df1e99120c65fbdc8ee6c1d044897a636 \ + --hash=sha256:40dc6a8e399e15ea525305a2ddba998b0af5caa2566bcd79dcbe8948181eeaff \ + --hash=sha256:4b36913ba52008249223042dca46e69967985fb4051951f94357ea681e1f5dc0 \ + --hash=sha256:4d87b29bd4486c0093fc64dea80231f7c7f7eb4dc70ae394d70a495ab8436071 \ + --hash=sha256:4e93eee4add6493b59a5c514da98c939b244fce4a0d8879cd3f466562f4b7d5c \ + --hash=sha256:59e724f8b332319e2875efd360e61ac07f33b492889284a3e05e6d13746876f4 \ + --hash=sha256:69422b7f458c5af875922cdb5bd586cc1f1033295aa9ff63ee196a87519ac8e1 \ + --hash=sha256:703c346571fa50d2e9856a37d7cd9435a25e7fd15e236c397bf224afaa355fe9 \ + --hash=sha256:85071a1e8c2d051b507161f6c3e26155b5c790e4e28d7f236422dbacc2a9cc44 \ + --hash=sha256:856f4bc0478ae143bad54a4242fccb1f3f86a6e1be5548fecfd4102061b3a083 \ + --hash=sha256:85797e37e8eeaa5439d33e556662cc370e474445d5fab24dcadc65a8ffb04003 \ + --hash=sha256:90d96a385fa941283ebd231464045187a31ad932ebfa541be8edf5b3c2328959 \ + --hash=sha256:94978a49b8f4569ad607cd4946b759d90b285e39c0d4640c6b36ca7a3ddf2efc \ + --hash=sha256:aafe0f1918ed07b67c1e838f950b1c1fabc683030477e60b335649b8020e1076 \ + --hash=sha256:ab9ba8dcf59de5181f6be44a77458e45a578fc99c31510b8c65b7d5acc3cf490 \ + --hash=sha256:ade273d7e767d5fae13fa637f4d53b6e961fb7fd93c7797562663f0171c26660 \ + --hash=sha256:b799de31416ecc589ad79dd85a0b2657a8fe39327944998dea368c1d4c9e55e6 \ + --hash=sha256:c26f313951f6e26147833fc923f78f95604bbec812a43e5ee37f26dc9e5a686c \ + --hash=sha256:ca80b7485c76f768a3bc83ea58373f8db7b015551117375e4918e2aa77ea9b50 \ + --hash=sha256:d1ffd262a73d7c28424252381a5b854c19d9de5f56f075445d33919a637e3547 \ + --hash=sha256:d3f0d369e7ffbe59c4b6116a44d6a8eb4783aae027f2c0b366cf0aa964185dba \ + --hash=sha256:d54efd20338ac52ba31e7da78e4a72570cf729fac82bc31ff9199bedf1dc7440 \ + --hash=sha256:dacdd3d10ea1b4ca9df97a0a303cbacafc04b5cd375fa98732678151643d4988 \ + --hash=sha256:db353d22843cf1028f43c3651581e4bb49374d85692a85f95f7b9a130e1b2cab \ + --hash=sha256:db78cb9ca56b59b016e64b6031eda5653be0589dba2b1b43453f6e8b405a0970 \ + --hash=sha256:deee0e3343f98ee8047e9f4c5bc7cedbf69f5734454a94c38ee829fb2d5fa3c1 \ + --hash=sha256:df017d6c780287d5c80601dafa31f17bddb170232d85c066604d8558683711a2 \ + --hash=sha256:df959752a0c2748a65ab5387d08287abf6779ae9165916fe053e68ae1fbdc47f \ + --hash=sha256:ec4f178901fa1834d4a060320d2f3abc5c9e39766953d038f1458cb885f47e81 \ + --hash=sha256:f47f8ed67cc0ff862b84a1189831d1d33c963fb3ce1ee0c65d3b0cbe7b711069 \ + --hash=sha256:f8787367fbdfccae38e35abf7641dafc5310310a5987b689f4c32cc8cc3ee975 \ + --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ + --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 + # via uvicorn +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # opentelemetry-api +jinja2==3.1.6 ; sys_platform != 'win32' \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # memray +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # ray +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled.txt + # celery +lz4==4.3.3 \ + --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ + --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ + --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ + --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ + --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ + --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ + --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ + --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ + --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ + --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ + --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ + --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ + --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ + --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ + --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ + --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ + --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ + --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ + --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ + --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ + --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ + --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ + --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ + --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ + --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ + --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ + --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ + --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ + --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ + --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ + --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ + --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ + --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ + --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ + --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ + --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 + # via + # -c python/requirements_compiled.txt + # ray +markdown-it-py==2.2.0 ; sys_platform != 'win32' \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 ; sys_platform != 'win32' \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 +mdurl==0.1.2 ; sys_platform != 'win32' \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 ; sys_platform != 'win32' \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # ray +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # ray +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x + # gymnasium + # pandas + # ray + # scipy + # tensorboardx +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 + # via + # -c python/requirements_compiled.txt + # ray +opencensus-context==0.1.3 \ + --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ + --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c + # via + # -c python/requirements_compiled.txt + # opencensus +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # opentelemetry-sdk + # opentelemetry-semantic-conventions +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 + # via + # -c python/requirements_compiled.txt + # opentelemetry-sdk +ormsgpack==1.7.0 \ + --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ + --hash=sha256:22418a4d399027a72fb2e6b873559b1886cf2e63323ca7afc17b222c454413b7 \ + --hash=sha256:2c22c62a6bc93bcb194b7f91864ca0b39455b2cbbfc1538a3da0f9ec3c11d184 \ + --hash=sha256:3a6a97937d2cf21496d7689b90a43df83c5062bbe846aaa39197cc9ad73eaa7b \ + --hash=sha256:462089a419dbde654915ccb0b859c0dbe3c178b0ac580018e82befea6ccd73f4 \ + --hash=sha256:4b353204e99b56c1d33f1cf4767bd1fe1195596181a1cc789f25aa26c0b50f3d \ + --hash=sha256:5ec763096d978d35eedcef0af13991a10741717c2e236b26f4c2047b0740ea7b \ + --hash=sha256:5fefa1ca842dbba258401ea958113fe62c6b70a7a4d46edac440113f68dc431e \ + --hash=sha256:65525438b4a8b3b64ccfcda25e758ea3db392d1c206b5e09ef70efbbafa6dbf9 \ + --hash=sha256:6b4c98839cb7fc2a212037d2258f3a22857155249eb293d45c45cb974cfba834 \ + --hash=sha256:6d114652dadd81802b8a35a49e07a3e9ef2a47aed6123fb5031f2220d1c8e434 \ + --hash=sha256:77bc2ea387d85cfad045b9bcb8040bae43ad32dafe9363360f732cc19d489bbe \ + --hash=sha256:7e6ada21f5c7a20ff7cf9b061c44e3814352f819947a12022ad8cb52a9f2a809 \ + --hash=sha256:8d301e47565fe0e52a60052e730a9bb7669dfbd2a94643b8be925e3928c64c15 \ + --hash=sha256:90aabfd816db60dadab1100d583d061e0238209015bf684f8170c0fca4eb445a \ + --hash=sha256:91ebb7d3609db249cdff629ffef83ec3d025b1384749a297cf3b6a8240cf22ac \ + --hash=sha256:97723786755a7df85fcf6e68d7b5359dacea98d5c26b1d9af219a3cc05df4734 \ + --hash=sha256:9b0945523ccc75aa6907f38f2240d36818618baccb8633923bd7740a5a929e67 \ + --hash=sha256:a0ca6a64d47073f22ecc1dd96b384e44f98796d3f88ee383e92dfbcdf18c2efd \ + --hash=sha256:a5e12b51a590be47ccef67907905653e679fc2f920854b456edc216690ecc09c \ + --hash=sha256:a8fbe7bb50ee8381df030823d9366984fac718447947c2327969405d1d799b95 \ + --hash=sha256:c683071bf4527ffa7b6cfcf28f750d1a82eb77846d106743c09261ab1b79b193 \ + --hash=sha256:ca4d35b694f32112eb33ac0b733cb903dbbc59f019d05ca3d74f6ad2f587b0bf \ + --hash=sha256:e8385181bf195af80fc270e64fd477f1c414ffb05837320382e2ec9ca34be0ec \ + --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ + --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd + # via + # -c python/requirements_compiled.txt + # ray +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # kombu + # ray + # tensorboardx +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # ray +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # virtualenv +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # click-repl +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # googleapis-common-protos + # opentelemetry-proto + # proto-plus + # ray + # tensorboardx +py-spy==0.4.0 ; python_full_version < '3.12' \ + --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ + --hash=sha256:77d8f637ade38367d944874776f45b703b7ac5938b1f7be8891f3a5876ddbb96 \ + --hash=sha256:806602ce7972782cc9c1e383f339bfc27bfb822d42485e6a3e0530ae5040e1f0 \ + --hash=sha256:87573e64dbfdfc89ba2e0f5e2f525aa84e0299c7eb6454b47ea335fde583a7a0 \ + --hash=sha256:8bf2f3702cef367a489faa45177b41a6c31b2a3e5bd78c978d44e29340152f5a \ + --hash=sha256:c5f06ffce4c9c98b7fc9f5e67e5e7db591173f1351837633f3f23d9378b1d18a \ + --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ + --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 + # via + # -c python/requirements_compiled.txt + # ray +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # ray +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth +pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 ; sys_platform != 'win32' \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # rich +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # ray +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # celery + # pandas +python-dotenv==1.1.1 \ + --hash=sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc \ + --hash=sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab + # via uvicorn +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +ray==100.0.0.dev0 \ + --hash=sha256:9739ca053529f0ec60c6248748773470765550f34bb78502c55b913d65bb32eb +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # google-api-core + # ray +rich==13.3.2 ; sys_platform != 'win32' \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # memray +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # ray +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # opencensus + # python-dateutil +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # ray +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # ray +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # exceptiongroup + # fastapi + # gymnasium + # opentelemetry-api + # opentelemetry-sdk + # opentelemetry-semantic-conventions + # pydantic + # pydantic-core + # pyopenssl + # referencing + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled.txt + # kombu +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # requests +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # ray +uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ + --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ + --hash=sha256:10d66943def5fcb6e7b37310eb6b5639fd2ccbc38df1177262b0640c3ca68c1f \ + --hash=sha256:10da8046cc4a8f12c91a1c39d1dd1585c41162a15caaef165c2174db9ef18bdc \ + --hash=sha256:17df489689befc72c39a08359efac29bbee8eee5209650d4b9f34df73d22e414 \ + --hash=sha256:183aef7c8730e54c9a3ee3227464daed66e37ba13040bb3f350bc2ddc040f22f \ + --hash=sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d \ + --hash=sha256:221f4f2a1f46032b403bf3be628011caf75428ee3cc204a22addf96f586b19fd \ + --hash=sha256:2d1f581393673ce119355d56da84fe1dd9d2bb8b3d13ce792524e1607139feff \ + --hash=sha256:359ec2c888397b9e592a889c4d72ba3d6befba8b2bb01743f72fffbde663b59c \ + --hash=sha256:3bf12b0fda68447806a7ad847bfa591613177275d35b6724b1ee573faa3704e3 \ + --hash=sha256:4509360fcc4c3bd2c70d87573ad472de40c13387f5fda8cb58350a1d7475e58d \ + --hash=sha256:460def4412e473896ef179a1671b40c039c7012184b627898eea5072ef6f017a \ + --hash=sha256:461d9ae6660fbbafedd07559c6a2e57cd553b34b0065b6550685f6653a98c1cb \ + --hash=sha256:46923b0b5ee7fc0020bef24afe7836cb068f5050ca04caf6b487c513dc1a20b2 \ + --hash=sha256:53e420a3afe22cdcf2a0f4846e377d16e718bc70103d7088a4f7623567ba5fb0 \ + --hash=sha256:5ee4d4ef48036ff6e5cfffb09dd192c7a5027153948d85b8da7ff705065bacc6 \ + --hash=sha256:67dd654b8ca23aed0a8e99010b4c34aca62f4b7fce88f39d452ed7622c94845c \ + --hash=sha256:787ae31ad8a2856fc4e7c095341cccc7209bd657d0e71ad0dc2ea83c4a6fa8af \ + --hash=sha256:86975dca1c773a2c9864f4c52c5a55631038e387b47eaf56210f873887b6c8dc \ + --hash=sha256:87c43e0f13022b998eb9b973b5e97200c8b90823454d4bc06ab33829e09fb9bb \ + --hash=sha256:88cb67cdbc0e483da00af0b2c3cdad4b7c61ceb1ee0f33fe00e09c81e3a6cb75 \ + --hash=sha256:8a375441696e2eda1c43c44ccb66e04d61ceeffcd76e4929e527b7fa401b90fb \ + --hash=sha256:a5c39f217ab3c663dc699c04cbd50c13813e31d917642d459fdcec07555cc553 \ + --hash=sha256:b9fb766bb57b7388745d8bcc53a359b116b8a04c83a2288069809d2b3466c37e \ + --hash=sha256:baa0e6291d91649c6ba4ed4b2f982f9fa165b5bbd50a9e203c416a2797bab3c6 \ + --hash=sha256:baa4dcdbd9ae0a372f2167a207cd98c9f9a1ea1188a8a526431eef2f8116cc8d \ + --hash=sha256:bc09f0ff191e61c2d592a752423c767b4ebb2986daa9ed62908e2b1b9a9ae206 \ + --hash=sha256:bd53ecc9a0f3d87ab847503c2e1552b690362e005ab54e8a48ba97da3924c0dc \ + --hash=sha256:bfd55dfcc2a512316e65f16e503e9e450cab148ef11df4e4e679b5e8253a5281 \ + --hash=sha256:c097078b8031190c934ed0ebfee8cc5f9ba9642e6eb88322b9958b649750f72b \ + --hash=sha256:c0f3fa6200b3108919f8bdabb9a7f87f20e7097ea3c543754cabc7d717d95cf8 \ + --hash=sha256:e678ad6fe52af2c58d2ae3c73dc85524ba8abe637f134bf3564ed07f555c5e79 \ + --hash=sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f \ + --hash=sha256:f0ce1b49560b1d2d8a2977e3ba4afb2414fb46b86a1b64056bc4ab929efdafbe \ + --hash=sha256:f38b2e090258d051d68a5b14d1da7203a3c3677321cf32a95a6f4db4dd8b6f26 \ + --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ + --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 + # via + # -c python/requirements_compiled.txt + # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled.txt + # amqp + # celery + # kombu +virtualenv==20.29.1 \ + --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ + --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 + # via + # -c python/requirements_compiled.txt + # ray +watchfiles==0.19.0 \ + --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ + --hash=sha256:09ea3397aecbc81c19ed7f025e051a7387feefdb789cf768ff994c1228182fda \ + --hash=sha256:176a9a7641ec2c97b24455135d58012a5be5c6217fc4d5fef0b2b9f75dbf5154 \ + --hash=sha256:18b28f6ad871b82df9542ff958d0c86bb0d8310bb09eb8e87d97318a3b5273af \ + --hash=sha256:20b44221764955b1e703f012c74015306fb7e79a00c15370785f309b1ed9aa8d \ + --hash=sha256:3d7d267d27aceeeaa3de0dd161a0d64f0a282264d592e335fff7958cc0cbae7c \ + --hash=sha256:5471582658ea56fca122c0f0d0116a36807c63fefd6fdc92c71ca9a4491b6b48 \ + --hash=sha256:5569fc7f967429d4bc87e355cdfdcee6aabe4b620801e2cf5805ea245c06097c \ + --hash=sha256:68dce92b29575dda0f8d30c11742a8e2b9b8ec768ae414b54f7453f27bdf9545 \ + --hash=sha256:79c533ff593db861ae23436541f481ec896ee3da4e5db8962429b441bbaae16e \ + --hash=sha256:7f3920b1285a7d3ce898e303d84791b7bf40d57b7695ad549dc04e6a44c9f120 \ + --hash=sha256:91633e64712df3051ca454ca7d1b976baf842d7a3640b87622b323c55f3345e7 \ + --hash=sha256:945be0baa3e2440151eb3718fd8846751e8b51d8de7b884c90b17d271d34cae8 \ + --hash=sha256:9afd0d69429172c796164fd7fe8e821ade9be983f51c659a38da3faaaaac44dc \ + --hash=sha256:9c75eff897786ee262c9f17a48886f4e98e6cfd335e011c591c305e5d083c056 \ + --hash=sha256:b538014a87f94d92f98f34d3e6d2635478e6be6423a9ea53e4dd96210065e193 \ + --hash=sha256:b6577b8c6c8701ba8642ea9335a129836347894b666dd1ec2226830e263909d3 \ + --hash=sha256:c0376deac92377817e4fb8f347bf559b7d44ff556d9bc6f6208dd3f79f104aaf \ + --hash=sha256:cae3dde0b4b2078f31527acff6f486e23abed307ba4d3932466ba7cdd5ecec79 \ + --hash=sha256:cb5d45c4143c1dd60f98a16187fd123eda7248f84ef22244818c18d531a249d1 \ + --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ + --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # uvicorn +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py311.lock b/python/deplocks/ray_img/ray_img_py311.lock new file mode 100644 index 000000000000..c01332ec3f9a --- /dev/null +++ b/python/deplocks/ray_img/ray_img_py311.lock @@ -0,0 +1,2162 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py311.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links .whl/ +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # aiohttp-cors + # ray +aiohttp-cors==0.7.0 \ + --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ + --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d + # via + # -c python/requirements_compiled.txt + # ray +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled.txt + # kombu +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # starlette + # watchfiles +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled.txt + # celery +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled.txt + # ray +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # requests +cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # celery + # click-didyoumean + # click-plugins + # click-repl + # ray + # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled.txt + # celery +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # gymnasium +colorful==0.5.5 \ + --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ + --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d + # via + # -c python/requirements_compiled.txt + # ray +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # pyopenssl +cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ + --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ + --hash=sha256:2d16eaa2d086e416ac13467d4ff3184b9a081fe76b761ce51d4a46ec1c4bd28a \ + --hash=sha256:432273fd4b61a284f7d705d08b8291403548fd422bcbd945635cc155bc6a923d \ + --hash=sha256:4c51a1062a3c5a826b0425952d229ffe73b1791656a31de95b318117e67a9576 \ + --hash=sha256:4c8e9fdb1f3ffc3151808f8bb8c871518d2783e1be8b53792b698a840543d60c \ + --hash=sha256:51b1d6cb83d82dfa306c9efaeb4d57f24bad3041ebd8716d61072676abbcf67b \ + --hash=sha256:52185a2cf95d3bac2c3fda95c9c8e06a985b5a00cd2e587d3caace337db33899 \ + --hash=sha256:5afb6658faa22f21479ae2c0a07254df31c0aebc36907a64a1f6be4ecc9e96da \ + --hash=sha256:d3dc91ef9c4104652195eea4b282d343ecad653021efe20d1c8dd8dfe8ccfd86 \ + --hash=sha256:d60d1e124592cb82a5f3f45b3e7bee7bda7b72a743029f275e9d6b125f338c60 \ + --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ + --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa + # via + # -c python/requirements_compiled.txt + # ray +distlib==0.3.7 \ + --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ + --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 + # via + # -c python/requirements_compiled.txt + # virtualenv +dm-tree==0.1.8 \ + --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ + --hash=sha256:09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760 \ + --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \ + --hash=sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf \ + --hash=sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430 \ + --hash=sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de \ + --hash=sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317 \ + --hash=sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca \ + --hash=sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913 \ + --hash=sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf \ + --hash=sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef \ + --hash=sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426 \ + --hash=sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1 \ + --hash=sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e \ + --hash=sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60 \ + --hash=sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5 \ + --hash=sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f \ + --hash=sha256:435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b \ + --hash=sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410 \ + --hash=sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134 \ + --hash=sha256:75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb \ + --hash=sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b \ + --hash=sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7 \ + --hash=sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393 \ + --hash=sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571 \ + --hash=sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368 \ + --hash=sha256:94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22 \ + --hash=sha256:96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715 \ + --hash=sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80 \ + --hash=sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7 \ + --hash=sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d \ + --hash=sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a \ + --hash=sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d \ + --hash=sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6 \ + --hash=sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5 \ + --hash=sha256:c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e \ + --hash=sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68 \ + --hash=sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8 \ + --hash=sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f \ + --hash=sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436 \ + --hash=sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee \ + --hash=sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb \ + --hash=sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144 \ + --hash=sha256:ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8 \ + --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ + --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d + # via + # -c python/requirements_compiled.txt + # ray +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # ray +fastrlock==0.8.2 ; sys_platform != 'darwin' \ + --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ + --hash=sha256:07ed3c7b3867c05a3d6be4ced200c7767000f3431b9be6da66972822dd86e8be \ + --hash=sha256:08315bde19d0c2e6b06593d5a418be3dc8f9b1ee721afa96867b9853fceb45cf \ + --hash=sha256:11bbbbc526363955aeddb9eec4cee2a0012322b7b2f15b54f44454fcf4fd398a \ + --hash=sha256:17734e2e5af4c07ddb0fb10bd484e062c22de3be6b67940b9cc6ec2f18fa61ba \ + --hash=sha256:1b15430b93d7eb3d56f6ff690d2ebecb79ed0e58248427717eba150a508d1cd7 \ + --hash=sha256:1fed2f4797ad68e9982038423018cf08bec5f4ce9fed63a94a790773ed6a795c \ + --hash=sha256:2074548a335fcf7d19ebb18d9208da9e33b06f745754466a7e001d2b1c58dd19 \ + --hash=sha256:2587cedbb36c7988e707d83f0f1175c1f882f362b5ebbee25d70218ea33d220d \ + --hash=sha256:25945f962c7bd808415cfde3da624d4399d4ea71ed8918538375f16bceb79e1c \ + --hash=sha256:27786c62a400e282756ae1b090bcd7cfa35f28270cff65a9e7b27a5327a32561 \ + --hash=sha256:2c1719ddc8218b01e82fb2e82e8451bd65076cb96d7bef4477194bbb4305a968 \ + --hash=sha256:2d5595903444c854b99c42122b87edfe8a37cd698a4eae32f4fd1d2a7b6c115d \ + --hash=sha256:30bdbe4662992348132d03996700e1cf910d141d629179b967b146a22942264e \ + --hash=sha256:31a27a2edf482df72b91fe6c6438314d2c65290aa7becc55589d156c9b91f0da \ + --hash=sha256:320fd55bafee3eb069cfb5d6491f811a912758387ef2193840e2663e80e16f48 \ + --hash=sha256:33145acbad8317584cd64588131c7e1e286beef6280c0009b4544c91fce171d2 \ + --hash=sha256:43a241655e83e4603a152192cf022d5ca348c2f4e56dfb02e5c9c4c1a32f9cdb \ + --hash=sha256:4d63b6596368dab9e0cc66bf047e7182a56f33b34db141816a4f21f5bf958228 \ + --hash=sha256:4fb04442b6d1e2b36c774919c6bcbe3339c61b337261d4bd57e27932589095af \ + --hash=sha256:4fb2e77ff04bc4beb71d63c8e064f052ce5a6ea1e001d528d4d7f4b37d736f2e \ + --hash=sha256:5460c5ee6ced6d61ec8cd2324ebbe793a4960c4ffa2131ffff480e3b61c99ec5 \ + --hash=sha256:59344c1d46b7dec97d3f22f1cc930fafe8980b3c5bc9c9765c56738a5f1559e4 \ + --hash=sha256:5dfb78dd600a12f23fc0c3ec58f81336229fdc74501ecf378d1ce5b3f2f313ea \ + --hash=sha256:643e1e65b4f5b284427e61a894d876d10459820e93aa1e724dfb415117be24e0 \ + --hash=sha256:644ec9215cf9c4df8028d8511379a15d9c1af3e16d80e47f1b6fdc6ba118356a \ + --hash=sha256:66f2662c640bb71a1016a031eea6eef9d25c2bcdf7ffd1d1ddc5a58f9a1ced04 \ + --hash=sha256:685e656048b59d8dfde8c601f188ad53a4d719eb97080cafc8696cda6d75865e \ + --hash=sha256:7269bb3fc15587b0c191eecd95831d771a7d80f0c48929e560806b038ff3066c \ + --hash=sha256:73426f5eb2ecc10626c67cf86bd0af9e00d53e80e5c67d5ce8e18376d6abfa09 \ + --hash=sha256:75c07726c8b1a52147fd7987d6baaa318c5dced1416c3f25593e40f56e10755b \ + --hash=sha256:790fc19bccbd39426060047e53629f171a44745613bf360a045e9f9c8c4a2cea \ + --hash=sha256:7a2ccaf88ac0db153e84305d1ef0aa138cea82c6a88309066f6eaa3bc98636cd \ + --hash=sha256:87f4e01b042c84e6090dbc4fbe3415ddd69f6bc0130382323f9d3f1b8dd71b46 \ + --hash=sha256:88f079335e9da631efa64486c8207564a7bcd0c00526bb9e842e9d5b7e50a6cc \ + --hash=sha256:8c1c91a68926421f5ccbc82c85f83bd3ba593b121a46a1b9a554b3f0dd67a4bf \ + --hash=sha256:9121a894d74e65557e47e777060a495ab85f4b903e80dd73a3c940ba042920d7 \ + --hash=sha256:94e348c72a1fd1f8191f25ea056448e4f5a87b8fbf005b39d290dcb0581a48cd \ + --hash=sha256:98195866d3a9949915935d40a88e4f1c166e82e378f622c88025f2938624a90a \ + --hash=sha256:99dd6652bd6f730beadf74ef769d38c6bbd8ee6d1c15c8d138ea680b0594387f \ + --hash=sha256:9af691a9861027181d4de07ed74f0aee12a9650ac60d0a07f4320bff84b5d95f \ + --hash=sha256:a3b8b5d2935403f1b4b25ae324560e94b59593a38c0d2e7b6c9872126a9622ed \ + --hash=sha256:a3dcc876050b8f5cbc0ee84ef1e7f0c1dfe7c148f10098828bc4403683c33f10 \ + --hash=sha256:a74f5a92fa6e51c4f3c69b29c4662088b97be12f40652a21109605a175c81824 \ + --hash=sha256:ab91b0c36e95d42e1041a4907e3eefd06c482d53af3c7a77be7e214cc7cd4a63 \ + --hash=sha256:ad1bc61c7f6b0e58106aaab034916b6cb041757f708b07fbcdd9d6e1ac629225 \ + --hash=sha256:adcb9e77aa132cc6c9de2ffe7cf880a20aa8cdba21d367d1da1a412f57bddd5d \ + --hash=sha256:b22ea9bf5f9fad2b0077e944a7813f91593a4f61adf8faf734a70aed3f2b3a40 \ + --hash=sha256:b2a1c354f13f22b737621d914f3b4a8434ae69d3027a775e94b3e671756112f9 \ + --hash=sha256:b32fdf874868326351a75b1e4c02f97e802147119ae44c52d3d9da193ec34f5b \ + --hash=sha256:b3853ed4ce522598dc886160a7bab432a093051af85891fa2f5577c1dcac8ed6 \ + --hash=sha256:b443e73a4dfc7b6e0800ea4c13567b9694358e86f53bb2612a51c9e727cac67b \ + --hash=sha256:b4c9083ea89ab236b06e9ef2263971db3b4b507195fc7d5eecab95828dcae325 \ + --hash=sha256:b8ca0fe21458457077e4cb2d81e1ebdb146a00b3e9e2db6180a773f7ea905032 \ + --hash=sha256:c393af77c659a38bffbca215c0bcc8629ba4299568308dd7e4ff65d62cabed39 \ + --hash=sha256:c6bffa978793bea5e1b00e677062e53a62255439339591b70e209fa1552d5ee0 \ + --hash=sha256:ccf39ad5702e33e4d335b48ef9d56e21619b529b7f7471b5211419f380329b62 \ + --hash=sha256:cf81e0278b645004388873e0a1f9e3bc4c9ab8c18e377b14ed1a544be4b18c9a \ + --hash=sha256:d34546ad2e4a480b94b6797bcc5a322b3c705c4c74c3e4e545c4a3841c1b2d59 \ + --hash=sha256:d47713ffe6d4a627fbf078be9836a95ac106b4a0543e3841572c91e292a5d885 \ + --hash=sha256:d918dfe473291e8bfd8e13223ea5cb9b317bd9f50c280923776c377f7c64b428 \ + --hash=sha256:dbdce852e6bb66e1b8c36679d482971d69d93acf1785657522e51b7de30c3356 \ + --hash=sha256:dcc1bf0ac8a194313cf6e645e300a8a379674ceed8e0b1e910a2de3e3c28989e \ + --hash=sha256:dd961a32a7182c3891cdebca417fda67496d5d5de6ae636962254d22723bdf52 \ + --hash=sha256:ddf5d247f686aec853ddcc9a1234bfcc6f57b0a0670d2ad82fc25d8ae7e6a15f \ + --hash=sha256:e27c3cd27fbd25e5223c5c992b300cd4ee8f0a75c6f222ce65838138d853712c \ + --hash=sha256:e380ec4e6d8b26e389713995a43cb7fe56baea2d25fe073d4998c4821a026211 \ + --hash=sha256:e4bbde174a0aff5f6eeba75cf8c4c5d2a316316bc21f03a0bddca0fc3659a6f3 \ + --hash=sha256:e8b49b5743ede51e0bcf6805741f39f5e0e0fd6a172ba460cb39e3097ba803bb \ + --hash=sha256:e9904b5b37c3e5bb4a245c56bc4b7e497da57ffb8528f4fc39af9dcb168ee2e1 \ + --hash=sha256:ea96503b918fceaf40443182742b8964d47b65c5ebdea532893cb9479620000c \ + --hash=sha256:eb31fe390f03f7ae886dcc374f1099ec88526631a4cb891d399b68181f154ff0 \ + --hash=sha256:ebb32d776b61acd49f859a1d16b9e3d84e7b46d0d92aebd58acd54dc38e96664 \ + --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ + --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # ray + # virtualenv +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # ray +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # opencensus +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # google-api-core +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # ray +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # ray +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # uvicorn +httptools==0.6.4 \ + --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ + --hash=sha256:0e563e54979e97b6d13f1bbc05a96109923e76b901f786a5eae36e99c01237bd \ + --hash=sha256:16e603a3bff50db08cd578d54f07032ca1631450ceb972c2f834c2b860c28ea2 \ + --hash=sha256:288cd628406cc53f9a541cfaf06041b4c71d751856bab45e3702191f931ccd17 \ + --hash=sha256:28908df1b9bb8187393d5b5db91435ccc9c8e891657f9cbb42a2541b44c82fc8 \ + --hash=sha256:322d20ea9cdd1fa98bd6a74b77e2ec5b818abdc3d36695ab402a0de8ef2865a3 \ + --hash=sha256:342dd6946aa6bda4b8f18c734576106b8a31f2fe31492881a9a160ec84ff4bd5 \ + --hash=sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da \ + --hash=sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0 \ + --hash=sha256:40a5ec98d3f49904b9fe36827dcf1aadfef3b89e2bd05b0e35e94f97c2b14721 \ + --hash=sha256:40b0f7fe4fd38e6a507bdb751db0379df1e99120c65fbdc8ee6c1d044897a636 \ + --hash=sha256:40dc6a8e399e15ea525305a2ddba998b0af5caa2566bcd79dcbe8948181eeaff \ + --hash=sha256:4b36913ba52008249223042dca46e69967985fb4051951f94357ea681e1f5dc0 \ + --hash=sha256:4d87b29bd4486c0093fc64dea80231f7c7f7eb4dc70ae394d70a495ab8436071 \ + --hash=sha256:4e93eee4add6493b59a5c514da98c939b244fce4a0d8879cd3f466562f4b7d5c \ + --hash=sha256:59e724f8b332319e2875efd360e61ac07f33b492889284a3e05e6d13746876f4 \ + --hash=sha256:69422b7f458c5af875922cdb5bd586cc1f1033295aa9ff63ee196a87519ac8e1 \ + --hash=sha256:703c346571fa50d2e9856a37d7cd9435a25e7fd15e236c397bf224afaa355fe9 \ + --hash=sha256:85071a1e8c2d051b507161f6c3e26155b5c790e4e28d7f236422dbacc2a9cc44 \ + --hash=sha256:856f4bc0478ae143bad54a4242fccb1f3f86a6e1be5548fecfd4102061b3a083 \ + --hash=sha256:85797e37e8eeaa5439d33e556662cc370e474445d5fab24dcadc65a8ffb04003 \ + --hash=sha256:90d96a385fa941283ebd231464045187a31ad932ebfa541be8edf5b3c2328959 \ + --hash=sha256:94978a49b8f4569ad607cd4946b759d90b285e39c0d4640c6b36ca7a3ddf2efc \ + --hash=sha256:aafe0f1918ed07b67c1e838f950b1c1fabc683030477e60b335649b8020e1076 \ + --hash=sha256:ab9ba8dcf59de5181f6be44a77458e45a578fc99c31510b8c65b7d5acc3cf490 \ + --hash=sha256:ade273d7e767d5fae13fa637f4d53b6e961fb7fd93c7797562663f0171c26660 \ + --hash=sha256:b799de31416ecc589ad79dd85a0b2657a8fe39327944998dea368c1d4c9e55e6 \ + --hash=sha256:c26f313951f6e26147833fc923f78f95604bbec812a43e5ee37f26dc9e5a686c \ + --hash=sha256:ca80b7485c76f768a3bc83ea58373f8db7b015551117375e4918e2aa77ea9b50 \ + --hash=sha256:d1ffd262a73d7c28424252381a5b854c19d9de5f56f075445d33919a637e3547 \ + --hash=sha256:d3f0d369e7ffbe59c4b6116a44d6a8eb4783aae027f2c0b366cf0aa964185dba \ + --hash=sha256:d54efd20338ac52ba31e7da78e4a72570cf729fac82bc31ff9199bedf1dc7440 \ + --hash=sha256:dacdd3d10ea1b4ca9df97a0a303cbacafc04b5cd375fa98732678151643d4988 \ + --hash=sha256:db353d22843cf1028f43c3651581e4bb49374d85692a85f95f7b9a130e1b2cab \ + --hash=sha256:db78cb9ca56b59b016e64b6031eda5653be0589dba2b1b43453f6e8b405a0970 \ + --hash=sha256:deee0e3343f98ee8047e9f4c5bc7cedbf69f5734454a94c38ee829fb2d5fa3c1 \ + --hash=sha256:df017d6c780287d5c80601dafa31f17bddb170232d85c066604d8558683711a2 \ + --hash=sha256:df959752a0c2748a65ab5387d08287abf6779ae9165916fe053e68ae1fbdc47f \ + --hash=sha256:ec4f178901fa1834d4a060320d2f3abc5c9e39766953d038f1458cb885f47e81 \ + --hash=sha256:f47f8ed67cc0ff862b84a1189831d1d33c963fb3ce1ee0c65d3b0cbe7b711069 \ + --hash=sha256:f8787367fbdfccae38e35abf7641dafc5310310a5987b689f4c32cc8cc3ee975 \ + --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ + --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 + # via uvicorn +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # opentelemetry-api +jinja2==3.1.6 ; sys_platform != 'win32' \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # memray +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # ray +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled.txt + # celery +lz4==4.3.3 \ + --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ + --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ + --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ + --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ + --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ + --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ + --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ + --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ + --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ + --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ + --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ + --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ + --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ + --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ + --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ + --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ + --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ + --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ + --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ + --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ + --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ + --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ + --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ + --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ + --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ + --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ + --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ + --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ + --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ + --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ + --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ + --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ + --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ + --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ + --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ + --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 + # via + # -c python/requirements_compiled.txt + # ray +markdown-it-py==2.2.0 ; sys_platform != 'win32' \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 ; sys_platform != 'win32' \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 +mdurl==0.1.2 ; sys_platform != 'win32' \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 ; sys_platform != 'win32' \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # ray +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # ray +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x + # gymnasium + # pandas + # ray + # scipy + # tensorboardx +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 + # via + # -c python/requirements_compiled.txt + # ray +opencensus-context==0.1.3 \ + --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ + --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c + # via + # -c python/requirements_compiled.txt + # opencensus +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # opentelemetry-sdk + # opentelemetry-semantic-conventions +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 + # via + # -c python/requirements_compiled.txt + # opentelemetry-sdk +ormsgpack==1.7.0 \ + --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ + --hash=sha256:22418a4d399027a72fb2e6b873559b1886cf2e63323ca7afc17b222c454413b7 \ + --hash=sha256:2c22c62a6bc93bcb194b7f91864ca0b39455b2cbbfc1538a3da0f9ec3c11d184 \ + --hash=sha256:3a6a97937d2cf21496d7689b90a43df83c5062bbe846aaa39197cc9ad73eaa7b \ + --hash=sha256:462089a419dbde654915ccb0b859c0dbe3c178b0ac580018e82befea6ccd73f4 \ + --hash=sha256:4b353204e99b56c1d33f1cf4767bd1fe1195596181a1cc789f25aa26c0b50f3d \ + --hash=sha256:5ec763096d978d35eedcef0af13991a10741717c2e236b26f4c2047b0740ea7b \ + --hash=sha256:5fefa1ca842dbba258401ea958113fe62c6b70a7a4d46edac440113f68dc431e \ + --hash=sha256:65525438b4a8b3b64ccfcda25e758ea3db392d1c206b5e09ef70efbbafa6dbf9 \ + --hash=sha256:6b4c98839cb7fc2a212037d2258f3a22857155249eb293d45c45cb974cfba834 \ + --hash=sha256:6d114652dadd81802b8a35a49e07a3e9ef2a47aed6123fb5031f2220d1c8e434 \ + --hash=sha256:77bc2ea387d85cfad045b9bcb8040bae43ad32dafe9363360f732cc19d489bbe \ + --hash=sha256:7e6ada21f5c7a20ff7cf9b061c44e3814352f819947a12022ad8cb52a9f2a809 \ + --hash=sha256:8d301e47565fe0e52a60052e730a9bb7669dfbd2a94643b8be925e3928c64c15 \ + --hash=sha256:90aabfd816db60dadab1100d583d061e0238209015bf684f8170c0fca4eb445a \ + --hash=sha256:91ebb7d3609db249cdff629ffef83ec3d025b1384749a297cf3b6a8240cf22ac \ + --hash=sha256:97723786755a7df85fcf6e68d7b5359dacea98d5c26b1d9af219a3cc05df4734 \ + --hash=sha256:9b0945523ccc75aa6907f38f2240d36818618baccb8633923bd7740a5a929e67 \ + --hash=sha256:a0ca6a64d47073f22ecc1dd96b384e44f98796d3f88ee383e92dfbcdf18c2efd \ + --hash=sha256:a5e12b51a590be47ccef67907905653e679fc2f920854b456edc216690ecc09c \ + --hash=sha256:a8fbe7bb50ee8381df030823d9366984fac718447947c2327969405d1d799b95 \ + --hash=sha256:c683071bf4527ffa7b6cfcf28f750d1a82eb77846d106743c09261ab1b79b193 \ + --hash=sha256:ca4d35b694f32112eb33ac0b733cb903dbbc59f019d05ca3d74f6ad2f587b0bf \ + --hash=sha256:e8385181bf195af80fc270e64fd477f1c414ffb05837320382e2ec9ca34be0ec \ + --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ + --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd + # via + # -c python/requirements_compiled.txt + # ray +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # kombu + # ray + # tensorboardx +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # ray +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # virtualenv +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # click-repl +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # googleapis-common-protos + # opentelemetry-proto + # proto-plus + # ray + # tensorboardx +py-spy==0.4.0 ; python_full_version < '3.12' \ + --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ + --hash=sha256:77d8f637ade38367d944874776f45b703b7ac5938b1f7be8891f3a5876ddbb96 \ + --hash=sha256:806602ce7972782cc9c1e383f339bfc27bfb822d42485e6a3e0530ae5040e1f0 \ + --hash=sha256:87573e64dbfdfc89ba2e0f5e2f525aa84e0299c7eb6454b47ea335fde583a7a0 \ + --hash=sha256:8bf2f3702cef367a489faa45177b41a6c31b2a3e5bd78c978d44e29340152f5a \ + --hash=sha256:c5f06ffce4c9c98b7fc9f5e67e5e7db591173f1351837633f3f23d9378b1d18a \ + --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ + --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 + # via + # -c python/requirements_compiled.txt + # ray +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # ray +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth +pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 ; sys_platform != 'win32' \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # rich +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # ray +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # celery + # pandas +python-dotenv==1.1.1 \ + --hash=sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc \ + --hash=sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab + # via uvicorn +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +ray==100.0.0.dev0 \ + --hash=sha256:287f652801352646b3d4ab6cf71d91763555ca2a714364d1a187fbdead96a122 +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # google-api-core + # ray +rich==13.3.2 ; sys_platform != 'win32' \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # memray +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # ray +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # opencensus + # python-dateutil +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # ray +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # ray +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # fastapi + # gymnasium + # opentelemetry-api + # opentelemetry-sdk + # opentelemetry-semantic-conventions + # pydantic + # pydantic-core + # pyopenssl + # referencing + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled.txt + # kombu +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # requests +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # ray +uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ + --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ + --hash=sha256:10d66943def5fcb6e7b37310eb6b5639fd2ccbc38df1177262b0640c3ca68c1f \ + --hash=sha256:10da8046cc4a8f12c91a1c39d1dd1585c41162a15caaef165c2174db9ef18bdc \ + --hash=sha256:17df489689befc72c39a08359efac29bbee8eee5209650d4b9f34df73d22e414 \ + --hash=sha256:183aef7c8730e54c9a3ee3227464daed66e37ba13040bb3f350bc2ddc040f22f \ + --hash=sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d \ + --hash=sha256:221f4f2a1f46032b403bf3be628011caf75428ee3cc204a22addf96f586b19fd \ + --hash=sha256:2d1f581393673ce119355d56da84fe1dd9d2bb8b3d13ce792524e1607139feff \ + --hash=sha256:359ec2c888397b9e592a889c4d72ba3d6befba8b2bb01743f72fffbde663b59c \ + --hash=sha256:3bf12b0fda68447806a7ad847bfa591613177275d35b6724b1ee573faa3704e3 \ + --hash=sha256:4509360fcc4c3bd2c70d87573ad472de40c13387f5fda8cb58350a1d7475e58d \ + --hash=sha256:460def4412e473896ef179a1671b40c039c7012184b627898eea5072ef6f017a \ + --hash=sha256:461d9ae6660fbbafedd07559c6a2e57cd553b34b0065b6550685f6653a98c1cb \ + --hash=sha256:46923b0b5ee7fc0020bef24afe7836cb068f5050ca04caf6b487c513dc1a20b2 \ + --hash=sha256:53e420a3afe22cdcf2a0f4846e377d16e718bc70103d7088a4f7623567ba5fb0 \ + --hash=sha256:5ee4d4ef48036ff6e5cfffb09dd192c7a5027153948d85b8da7ff705065bacc6 \ + --hash=sha256:67dd654b8ca23aed0a8e99010b4c34aca62f4b7fce88f39d452ed7622c94845c \ + --hash=sha256:787ae31ad8a2856fc4e7c095341cccc7209bd657d0e71ad0dc2ea83c4a6fa8af \ + --hash=sha256:86975dca1c773a2c9864f4c52c5a55631038e387b47eaf56210f873887b6c8dc \ + --hash=sha256:87c43e0f13022b998eb9b973b5e97200c8b90823454d4bc06ab33829e09fb9bb \ + --hash=sha256:88cb67cdbc0e483da00af0b2c3cdad4b7c61ceb1ee0f33fe00e09c81e3a6cb75 \ + --hash=sha256:8a375441696e2eda1c43c44ccb66e04d61ceeffcd76e4929e527b7fa401b90fb \ + --hash=sha256:a5c39f217ab3c663dc699c04cbd50c13813e31d917642d459fdcec07555cc553 \ + --hash=sha256:b9fb766bb57b7388745d8bcc53a359b116b8a04c83a2288069809d2b3466c37e \ + --hash=sha256:baa0e6291d91649c6ba4ed4b2f982f9fa165b5bbd50a9e203c416a2797bab3c6 \ + --hash=sha256:baa4dcdbd9ae0a372f2167a207cd98c9f9a1ea1188a8a526431eef2f8116cc8d \ + --hash=sha256:bc09f0ff191e61c2d592a752423c767b4ebb2986daa9ed62908e2b1b9a9ae206 \ + --hash=sha256:bd53ecc9a0f3d87ab847503c2e1552b690362e005ab54e8a48ba97da3924c0dc \ + --hash=sha256:bfd55dfcc2a512316e65f16e503e9e450cab148ef11df4e4e679b5e8253a5281 \ + --hash=sha256:c097078b8031190c934ed0ebfee8cc5f9ba9642e6eb88322b9958b649750f72b \ + --hash=sha256:c0f3fa6200b3108919f8bdabb9a7f87f20e7097ea3c543754cabc7d717d95cf8 \ + --hash=sha256:e678ad6fe52af2c58d2ae3c73dc85524ba8abe637f134bf3564ed07f555c5e79 \ + --hash=sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f \ + --hash=sha256:f0ce1b49560b1d2d8a2977e3ba4afb2414fb46b86a1b64056bc4ab929efdafbe \ + --hash=sha256:f38b2e090258d051d68a5b14d1da7203a3c3677321cf32a95a6f4db4dd8b6f26 \ + --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ + --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 + # via + # -c python/requirements_compiled.txt + # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled.txt + # amqp + # celery + # kombu +virtualenv==20.29.1 \ + --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ + --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 + # via + # -c python/requirements_compiled.txt + # ray +watchfiles==0.19.0 \ + --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ + --hash=sha256:09ea3397aecbc81c19ed7f025e051a7387feefdb789cf768ff994c1228182fda \ + --hash=sha256:176a9a7641ec2c97b24455135d58012a5be5c6217fc4d5fef0b2b9f75dbf5154 \ + --hash=sha256:18b28f6ad871b82df9542ff958d0c86bb0d8310bb09eb8e87d97318a3b5273af \ + --hash=sha256:20b44221764955b1e703f012c74015306fb7e79a00c15370785f309b1ed9aa8d \ + --hash=sha256:3d7d267d27aceeeaa3de0dd161a0d64f0a282264d592e335fff7958cc0cbae7c \ + --hash=sha256:5471582658ea56fca122c0f0d0116a36807c63fefd6fdc92c71ca9a4491b6b48 \ + --hash=sha256:5569fc7f967429d4bc87e355cdfdcee6aabe4b620801e2cf5805ea245c06097c \ + --hash=sha256:68dce92b29575dda0f8d30c11742a8e2b9b8ec768ae414b54f7453f27bdf9545 \ + --hash=sha256:79c533ff593db861ae23436541f481ec896ee3da4e5db8962429b441bbaae16e \ + --hash=sha256:7f3920b1285a7d3ce898e303d84791b7bf40d57b7695ad549dc04e6a44c9f120 \ + --hash=sha256:91633e64712df3051ca454ca7d1b976baf842d7a3640b87622b323c55f3345e7 \ + --hash=sha256:945be0baa3e2440151eb3718fd8846751e8b51d8de7b884c90b17d271d34cae8 \ + --hash=sha256:9afd0d69429172c796164fd7fe8e821ade9be983f51c659a38da3faaaaac44dc \ + --hash=sha256:9c75eff897786ee262c9f17a48886f4e98e6cfd335e011c591c305e5d083c056 \ + --hash=sha256:b538014a87f94d92f98f34d3e6d2635478e6be6423a9ea53e4dd96210065e193 \ + --hash=sha256:b6577b8c6c8701ba8642ea9335a129836347894b666dd1ec2226830e263909d3 \ + --hash=sha256:c0376deac92377817e4fb8f347bf559b7d44ff556d9bc6f6208dd3f79f104aaf \ + --hash=sha256:cae3dde0b4b2078f31527acff6f486e23abed307ba4d3932466ba7cdd5ecec79 \ + --hash=sha256:cb5d45c4143c1dd60f98a16187fd123eda7248f84ef22244818c18d531a249d1 \ + --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ + --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # uvicorn +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py312.lock b/python/deplocks/ray_img/ray_img_py312.lock new file mode 100644 index 000000000000..4cc81338771e --- /dev/null +++ b/python/deplocks/ray_img/ray_img_py312.lock @@ -0,0 +1,2172 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py312.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links .whl/ +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # aiohttp-cors + # ray +aiohttp-cors==0.7.0 \ + --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ + --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d + # via + # -c python/requirements_compiled.txt + # ray +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled.txt + # kombu +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # starlette + # watchfiles +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled.txt + # celery +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled.txt + # ray +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # requests +cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # celery + # click-didyoumean + # click-plugins + # click-repl + # ray + # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled.txt + # celery +cloudpickle==3.1.1 \ + --hash=sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64 \ + --hash=sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e + # via gymnasium +colorful==0.5.5 \ + --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ + --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d + # via + # -c python/requirements_compiled.txt + # ray +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # pyopenssl +cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ + --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ + --hash=sha256:2d16eaa2d086e416ac13467d4ff3184b9a081fe76b761ce51d4a46ec1c4bd28a \ + --hash=sha256:432273fd4b61a284f7d705d08b8291403548fd422bcbd945635cc155bc6a923d \ + --hash=sha256:4c51a1062a3c5a826b0425952d229ffe73b1791656a31de95b318117e67a9576 \ + --hash=sha256:4c8e9fdb1f3ffc3151808f8bb8c871518d2783e1be8b53792b698a840543d60c \ + --hash=sha256:51b1d6cb83d82dfa306c9efaeb4d57f24bad3041ebd8716d61072676abbcf67b \ + --hash=sha256:52185a2cf95d3bac2c3fda95c9c8e06a985b5a00cd2e587d3caace337db33899 \ + --hash=sha256:5afb6658faa22f21479ae2c0a07254df31c0aebc36907a64a1f6be4ecc9e96da \ + --hash=sha256:d3dc91ef9c4104652195eea4b282d343ecad653021efe20d1c8dd8dfe8ccfd86 \ + --hash=sha256:d60d1e124592cb82a5f3f45b3e7bee7bda7b72a743029f275e9d6b125f338c60 \ + --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ + --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa + # via + # -c python/requirements_compiled.txt + # ray +distlib==0.3.7 \ + --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ + --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 + # via + # -c python/requirements_compiled.txt + # virtualenv +dm-tree==0.1.8 \ + --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ + --hash=sha256:09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760 \ + --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \ + --hash=sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf \ + --hash=sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430 \ + --hash=sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de \ + --hash=sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317 \ + --hash=sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca \ + --hash=sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913 \ + --hash=sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf \ + --hash=sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef \ + --hash=sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426 \ + --hash=sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1 \ + --hash=sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e \ + --hash=sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60 \ + --hash=sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5 \ + --hash=sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f \ + --hash=sha256:435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b \ + --hash=sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410 \ + --hash=sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134 \ + --hash=sha256:75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb \ + --hash=sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b \ + --hash=sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7 \ + --hash=sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393 \ + --hash=sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571 \ + --hash=sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368 \ + --hash=sha256:94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22 \ + --hash=sha256:96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715 \ + --hash=sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80 \ + --hash=sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7 \ + --hash=sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d \ + --hash=sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a \ + --hash=sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d \ + --hash=sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6 \ + --hash=sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5 \ + --hash=sha256:c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e \ + --hash=sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68 \ + --hash=sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8 \ + --hash=sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f \ + --hash=sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436 \ + --hash=sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee \ + --hash=sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb \ + --hash=sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144 \ + --hash=sha256:ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8 \ + --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ + --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d + # via + # -c python/requirements_compiled.txt + # ray +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # ray +fastrlock==0.8.2 ; sys_platform != 'darwin' \ + --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ + --hash=sha256:07ed3c7b3867c05a3d6be4ced200c7767000f3431b9be6da66972822dd86e8be \ + --hash=sha256:08315bde19d0c2e6b06593d5a418be3dc8f9b1ee721afa96867b9853fceb45cf \ + --hash=sha256:11bbbbc526363955aeddb9eec4cee2a0012322b7b2f15b54f44454fcf4fd398a \ + --hash=sha256:17734e2e5af4c07ddb0fb10bd484e062c22de3be6b67940b9cc6ec2f18fa61ba \ + --hash=sha256:1b15430b93d7eb3d56f6ff690d2ebecb79ed0e58248427717eba150a508d1cd7 \ + --hash=sha256:1fed2f4797ad68e9982038423018cf08bec5f4ce9fed63a94a790773ed6a795c \ + --hash=sha256:2074548a335fcf7d19ebb18d9208da9e33b06f745754466a7e001d2b1c58dd19 \ + --hash=sha256:2587cedbb36c7988e707d83f0f1175c1f882f362b5ebbee25d70218ea33d220d \ + --hash=sha256:25945f962c7bd808415cfde3da624d4399d4ea71ed8918538375f16bceb79e1c \ + --hash=sha256:27786c62a400e282756ae1b090bcd7cfa35f28270cff65a9e7b27a5327a32561 \ + --hash=sha256:2c1719ddc8218b01e82fb2e82e8451bd65076cb96d7bef4477194bbb4305a968 \ + --hash=sha256:2d5595903444c854b99c42122b87edfe8a37cd698a4eae32f4fd1d2a7b6c115d \ + --hash=sha256:30bdbe4662992348132d03996700e1cf910d141d629179b967b146a22942264e \ + --hash=sha256:31a27a2edf482df72b91fe6c6438314d2c65290aa7becc55589d156c9b91f0da \ + --hash=sha256:320fd55bafee3eb069cfb5d6491f811a912758387ef2193840e2663e80e16f48 \ + --hash=sha256:33145acbad8317584cd64588131c7e1e286beef6280c0009b4544c91fce171d2 \ + --hash=sha256:43a241655e83e4603a152192cf022d5ca348c2f4e56dfb02e5c9c4c1a32f9cdb \ + --hash=sha256:4d63b6596368dab9e0cc66bf047e7182a56f33b34db141816a4f21f5bf958228 \ + --hash=sha256:4fb04442b6d1e2b36c774919c6bcbe3339c61b337261d4bd57e27932589095af \ + --hash=sha256:4fb2e77ff04bc4beb71d63c8e064f052ce5a6ea1e001d528d4d7f4b37d736f2e \ + --hash=sha256:5460c5ee6ced6d61ec8cd2324ebbe793a4960c4ffa2131ffff480e3b61c99ec5 \ + --hash=sha256:59344c1d46b7dec97d3f22f1cc930fafe8980b3c5bc9c9765c56738a5f1559e4 \ + --hash=sha256:5dfb78dd600a12f23fc0c3ec58f81336229fdc74501ecf378d1ce5b3f2f313ea \ + --hash=sha256:643e1e65b4f5b284427e61a894d876d10459820e93aa1e724dfb415117be24e0 \ + --hash=sha256:644ec9215cf9c4df8028d8511379a15d9c1af3e16d80e47f1b6fdc6ba118356a \ + --hash=sha256:66f2662c640bb71a1016a031eea6eef9d25c2bcdf7ffd1d1ddc5a58f9a1ced04 \ + --hash=sha256:685e656048b59d8dfde8c601f188ad53a4d719eb97080cafc8696cda6d75865e \ + --hash=sha256:7269bb3fc15587b0c191eecd95831d771a7d80f0c48929e560806b038ff3066c \ + --hash=sha256:73426f5eb2ecc10626c67cf86bd0af9e00d53e80e5c67d5ce8e18376d6abfa09 \ + --hash=sha256:75c07726c8b1a52147fd7987d6baaa318c5dced1416c3f25593e40f56e10755b \ + --hash=sha256:790fc19bccbd39426060047e53629f171a44745613bf360a045e9f9c8c4a2cea \ + --hash=sha256:7a2ccaf88ac0db153e84305d1ef0aa138cea82c6a88309066f6eaa3bc98636cd \ + --hash=sha256:87f4e01b042c84e6090dbc4fbe3415ddd69f6bc0130382323f9d3f1b8dd71b46 \ + --hash=sha256:88f079335e9da631efa64486c8207564a7bcd0c00526bb9e842e9d5b7e50a6cc \ + --hash=sha256:8c1c91a68926421f5ccbc82c85f83bd3ba593b121a46a1b9a554b3f0dd67a4bf \ + --hash=sha256:9121a894d74e65557e47e777060a495ab85f4b903e80dd73a3c940ba042920d7 \ + --hash=sha256:94e348c72a1fd1f8191f25ea056448e4f5a87b8fbf005b39d290dcb0581a48cd \ + --hash=sha256:98195866d3a9949915935d40a88e4f1c166e82e378f622c88025f2938624a90a \ + --hash=sha256:99dd6652bd6f730beadf74ef769d38c6bbd8ee6d1c15c8d138ea680b0594387f \ + --hash=sha256:9af691a9861027181d4de07ed74f0aee12a9650ac60d0a07f4320bff84b5d95f \ + --hash=sha256:a3b8b5d2935403f1b4b25ae324560e94b59593a38c0d2e7b6c9872126a9622ed \ + --hash=sha256:a3dcc876050b8f5cbc0ee84ef1e7f0c1dfe7c148f10098828bc4403683c33f10 \ + --hash=sha256:a74f5a92fa6e51c4f3c69b29c4662088b97be12f40652a21109605a175c81824 \ + --hash=sha256:ab91b0c36e95d42e1041a4907e3eefd06c482d53af3c7a77be7e214cc7cd4a63 \ + --hash=sha256:ad1bc61c7f6b0e58106aaab034916b6cb041757f708b07fbcdd9d6e1ac629225 \ + --hash=sha256:adcb9e77aa132cc6c9de2ffe7cf880a20aa8cdba21d367d1da1a412f57bddd5d \ + --hash=sha256:b22ea9bf5f9fad2b0077e944a7813f91593a4f61adf8faf734a70aed3f2b3a40 \ + --hash=sha256:b2a1c354f13f22b737621d914f3b4a8434ae69d3027a775e94b3e671756112f9 \ + --hash=sha256:b32fdf874868326351a75b1e4c02f97e802147119ae44c52d3d9da193ec34f5b \ + --hash=sha256:b3853ed4ce522598dc886160a7bab432a093051af85891fa2f5577c1dcac8ed6 \ + --hash=sha256:b443e73a4dfc7b6e0800ea4c13567b9694358e86f53bb2612a51c9e727cac67b \ + --hash=sha256:b4c9083ea89ab236b06e9ef2263971db3b4b507195fc7d5eecab95828dcae325 \ + --hash=sha256:b8ca0fe21458457077e4cb2d81e1ebdb146a00b3e9e2db6180a773f7ea905032 \ + --hash=sha256:c393af77c659a38bffbca215c0bcc8629ba4299568308dd7e4ff65d62cabed39 \ + --hash=sha256:c6bffa978793bea5e1b00e677062e53a62255439339591b70e209fa1552d5ee0 \ + --hash=sha256:ccf39ad5702e33e4d335b48ef9d56e21619b529b7f7471b5211419f380329b62 \ + --hash=sha256:cf81e0278b645004388873e0a1f9e3bc4c9ab8c18e377b14ed1a544be4b18c9a \ + --hash=sha256:d34546ad2e4a480b94b6797bcc5a322b3c705c4c74c3e4e545c4a3841c1b2d59 \ + --hash=sha256:d47713ffe6d4a627fbf078be9836a95ac106b4a0543e3841572c91e292a5d885 \ + --hash=sha256:d918dfe473291e8bfd8e13223ea5cb9b317bd9f50c280923776c377f7c64b428 \ + --hash=sha256:dbdce852e6bb66e1b8c36679d482971d69d93acf1785657522e51b7de30c3356 \ + --hash=sha256:dcc1bf0ac8a194313cf6e645e300a8a379674ceed8e0b1e910a2de3e3c28989e \ + --hash=sha256:dd961a32a7182c3891cdebca417fda67496d5d5de6ae636962254d22723bdf52 \ + --hash=sha256:ddf5d247f686aec853ddcc9a1234bfcc6f57b0a0670d2ad82fc25d8ae7e6a15f \ + --hash=sha256:e27c3cd27fbd25e5223c5c992b300cd4ee8f0a75c6f222ce65838138d853712c \ + --hash=sha256:e380ec4e6d8b26e389713995a43cb7fe56baea2d25fe073d4998c4821a026211 \ + --hash=sha256:e4bbde174a0aff5f6eeba75cf8c4c5d2a316316bc21f03a0bddca0fc3659a6f3 \ + --hash=sha256:e8b49b5743ede51e0bcf6805741f39f5e0e0fd6a172ba460cb39e3097ba803bb \ + --hash=sha256:e9904b5b37c3e5bb4a245c56bc4b7e497da57ffb8528f4fc39af9dcb168ee2e1 \ + --hash=sha256:ea96503b918fceaf40443182742b8964d47b65c5ebdea532893cb9479620000c \ + --hash=sha256:eb31fe390f03f7ae886dcc374f1099ec88526631a4cb891d399b68181f154ff0 \ + --hash=sha256:ebb32d776b61acd49f859a1d16b9e3d84e7b46d0d92aebd58acd54dc38e96664 \ + --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ + --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # ray + # virtualenv +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # ray +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # opencensus +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # google-api-core +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # ray +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # ray +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # uvicorn +httptools==0.6.4 \ + --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ + --hash=sha256:0e563e54979e97b6d13f1bbc05a96109923e76b901f786a5eae36e99c01237bd \ + --hash=sha256:16e603a3bff50db08cd578d54f07032ca1631450ceb972c2f834c2b860c28ea2 \ + --hash=sha256:288cd628406cc53f9a541cfaf06041b4c71d751856bab45e3702191f931ccd17 \ + --hash=sha256:28908df1b9bb8187393d5b5db91435ccc9c8e891657f9cbb42a2541b44c82fc8 \ + --hash=sha256:322d20ea9cdd1fa98bd6a74b77e2ec5b818abdc3d36695ab402a0de8ef2865a3 \ + --hash=sha256:342dd6946aa6bda4b8f18c734576106b8a31f2fe31492881a9a160ec84ff4bd5 \ + --hash=sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da \ + --hash=sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0 \ + --hash=sha256:40a5ec98d3f49904b9fe36827dcf1aadfef3b89e2bd05b0e35e94f97c2b14721 \ + --hash=sha256:40b0f7fe4fd38e6a507bdb751db0379df1e99120c65fbdc8ee6c1d044897a636 \ + --hash=sha256:40dc6a8e399e15ea525305a2ddba998b0af5caa2566bcd79dcbe8948181eeaff \ + --hash=sha256:4b36913ba52008249223042dca46e69967985fb4051951f94357ea681e1f5dc0 \ + --hash=sha256:4d87b29bd4486c0093fc64dea80231f7c7f7eb4dc70ae394d70a495ab8436071 \ + --hash=sha256:4e93eee4add6493b59a5c514da98c939b244fce4a0d8879cd3f466562f4b7d5c \ + --hash=sha256:59e724f8b332319e2875efd360e61ac07f33b492889284a3e05e6d13746876f4 \ + --hash=sha256:69422b7f458c5af875922cdb5bd586cc1f1033295aa9ff63ee196a87519ac8e1 \ + --hash=sha256:703c346571fa50d2e9856a37d7cd9435a25e7fd15e236c397bf224afaa355fe9 \ + --hash=sha256:85071a1e8c2d051b507161f6c3e26155b5c790e4e28d7f236422dbacc2a9cc44 \ + --hash=sha256:856f4bc0478ae143bad54a4242fccb1f3f86a6e1be5548fecfd4102061b3a083 \ + --hash=sha256:85797e37e8eeaa5439d33e556662cc370e474445d5fab24dcadc65a8ffb04003 \ + --hash=sha256:90d96a385fa941283ebd231464045187a31ad932ebfa541be8edf5b3c2328959 \ + --hash=sha256:94978a49b8f4569ad607cd4946b759d90b285e39c0d4640c6b36ca7a3ddf2efc \ + --hash=sha256:aafe0f1918ed07b67c1e838f950b1c1fabc683030477e60b335649b8020e1076 \ + --hash=sha256:ab9ba8dcf59de5181f6be44a77458e45a578fc99c31510b8c65b7d5acc3cf490 \ + --hash=sha256:ade273d7e767d5fae13fa637f4d53b6e961fb7fd93c7797562663f0171c26660 \ + --hash=sha256:b799de31416ecc589ad79dd85a0b2657a8fe39327944998dea368c1d4c9e55e6 \ + --hash=sha256:c26f313951f6e26147833fc923f78f95604bbec812a43e5ee37f26dc9e5a686c \ + --hash=sha256:ca80b7485c76f768a3bc83ea58373f8db7b015551117375e4918e2aa77ea9b50 \ + --hash=sha256:d1ffd262a73d7c28424252381a5b854c19d9de5f56f075445d33919a637e3547 \ + --hash=sha256:d3f0d369e7ffbe59c4b6116a44d6a8eb4783aae027f2c0b366cf0aa964185dba \ + --hash=sha256:d54efd20338ac52ba31e7da78e4a72570cf729fac82bc31ff9199bedf1dc7440 \ + --hash=sha256:dacdd3d10ea1b4ca9df97a0a303cbacafc04b5cd375fa98732678151643d4988 \ + --hash=sha256:db353d22843cf1028f43c3651581e4bb49374d85692a85f95f7b9a130e1b2cab \ + --hash=sha256:db78cb9ca56b59b016e64b6031eda5653be0589dba2b1b43453f6e8b405a0970 \ + --hash=sha256:deee0e3343f98ee8047e9f4c5bc7cedbf69f5734454a94c38ee829fb2d5fa3c1 \ + --hash=sha256:df017d6c780287d5c80601dafa31f17bddb170232d85c066604d8558683711a2 \ + --hash=sha256:df959752a0c2748a65ab5387d08287abf6779ae9165916fe053e68ae1fbdc47f \ + --hash=sha256:ec4f178901fa1834d4a060320d2f3abc5c9e39766953d038f1458cb885f47e81 \ + --hash=sha256:f47f8ed67cc0ff862b84a1189831d1d33c963fb3ce1ee0c65d3b0cbe7b711069 \ + --hash=sha256:f8787367fbdfccae38e35abf7641dafc5310310a5987b689f4c32cc8cc3ee975 \ + --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ + --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 + # via uvicorn +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # opentelemetry-api +jinja2==3.1.6 ; sys_platform != 'win32' \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # memray +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # ray +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled.txt + # celery +lz4==4.3.3 \ + --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ + --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ + --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ + --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ + --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ + --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ + --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ + --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ + --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ + --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ + --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ + --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ + --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ + --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ + --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ + --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ + --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ + --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ + --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ + --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ + --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ + --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ + --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ + --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ + --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ + --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ + --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ + --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ + --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ + --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ + --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ + --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ + --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ + --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ + --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ + --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 + # via + # -c python/requirements_compiled.txt + # ray +markdown-it-py==2.2.0 ; sys_platform != 'win32' \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 ; sys_platform != 'win32' \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 +mdurl==0.1.2 ; sys_platform != 'win32' \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 ; sys_platform != 'win32' \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # ray +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # ray +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x + # gymnasium + # pandas + # ray + # scipy + # tensorboardx +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 + # via + # -c python/requirements_compiled.txt + # ray +opencensus-context==0.1.3 \ + --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ + --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c + # via + # -c python/requirements_compiled.txt + # opencensus +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # opentelemetry-sdk + # opentelemetry-semantic-conventions +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 + # via + # -c python/requirements_compiled.txt + # opentelemetry-sdk +ormsgpack==1.7.0 \ + --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ + --hash=sha256:22418a4d399027a72fb2e6b873559b1886cf2e63323ca7afc17b222c454413b7 \ + --hash=sha256:2c22c62a6bc93bcb194b7f91864ca0b39455b2cbbfc1538a3da0f9ec3c11d184 \ + --hash=sha256:3a6a97937d2cf21496d7689b90a43df83c5062bbe846aaa39197cc9ad73eaa7b \ + --hash=sha256:462089a419dbde654915ccb0b859c0dbe3c178b0ac580018e82befea6ccd73f4 \ + --hash=sha256:4b353204e99b56c1d33f1cf4767bd1fe1195596181a1cc789f25aa26c0b50f3d \ + --hash=sha256:5ec763096d978d35eedcef0af13991a10741717c2e236b26f4c2047b0740ea7b \ + --hash=sha256:5fefa1ca842dbba258401ea958113fe62c6b70a7a4d46edac440113f68dc431e \ + --hash=sha256:65525438b4a8b3b64ccfcda25e758ea3db392d1c206b5e09ef70efbbafa6dbf9 \ + --hash=sha256:6b4c98839cb7fc2a212037d2258f3a22857155249eb293d45c45cb974cfba834 \ + --hash=sha256:6d114652dadd81802b8a35a49e07a3e9ef2a47aed6123fb5031f2220d1c8e434 \ + --hash=sha256:77bc2ea387d85cfad045b9bcb8040bae43ad32dafe9363360f732cc19d489bbe \ + --hash=sha256:7e6ada21f5c7a20ff7cf9b061c44e3814352f819947a12022ad8cb52a9f2a809 \ + --hash=sha256:8d301e47565fe0e52a60052e730a9bb7669dfbd2a94643b8be925e3928c64c15 \ + --hash=sha256:90aabfd816db60dadab1100d583d061e0238209015bf684f8170c0fca4eb445a \ + --hash=sha256:91ebb7d3609db249cdff629ffef83ec3d025b1384749a297cf3b6a8240cf22ac \ + --hash=sha256:97723786755a7df85fcf6e68d7b5359dacea98d5c26b1d9af219a3cc05df4734 \ + --hash=sha256:9b0945523ccc75aa6907f38f2240d36818618baccb8633923bd7740a5a929e67 \ + --hash=sha256:a0ca6a64d47073f22ecc1dd96b384e44f98796d3f88ee383e92dfbcdf18c2efd \ + --hash=sha256:a5e12b51a590be47ccef67907905653e679fc2f920854b456edc216690ecc09c \ + --hash=sha256:a8fbe7bb50ee8381df030823d9366984fac718447947c2327969405d1d799b95 \ + --hash=sha256:c683071bf4527ffa7b6cfcf28f750d1a82eb77846d106743c09261ab1b79b193 \ + --hash=sha256:ca4d35b694f32112eb33ac0b733cb903dbbc59f019d05ca3d74f6ad2f587b0bf \ + --hash=sha256:e8385181bf195af80fc270e64fd477f1c414ffb05837320382e2ec9ca34be0ec \ + --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ + --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd + # via + # -c python/requirements_compiled.txt + # ray +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # kombu + # ray + # tensorboardx +pandas==2.3.2 \ + --hash=sha256:0064187b80a5be6f2f9c9d6bdde29372468751dfa89f4211a3c5871854cfbf7a \ + --hash=sha256:0bd281310d4f412733f319a5bc552f86d62cddc5f51d2e392c8787335c994175 \ + --hash=sha256:0c6ecbac99a354a051ef21c5307601093cb9e0f4b1855984a084bfec9302699e \ + --hash=sha256:0cee69d583b9b128823d9514171cabb6861e09409af805b54459bd0c821a35c2 \ + --hash=sha256:114c2fe4f4328cf98ce5716d1532f3ab79c5919f95a9cfee81d9140064a2e4d6 \ + --hash=sha256:12d039facec710f7ba305786837d0225a3444af7bbd9c15c32ca2d40d157ed8b \ + --hash=sha256:1333e9c299adcbb68ee89a9bb568fc3f20f9cbb419f1dd5225071e6cddb2a743 \ + --hash=sha256:13bd629c653856f00c53dc495191baa59bcafbbf54860a46ecc50d3a88421a96 \ + --hash=sha256:1b9b52693123dd234b7c985c68b709b0b009f4521000d0525f2b95c22f15944b \ + --hash=sha256:1d81573b3f7db40d020983f78721e9bfc425f411e616ef019a10ebf597aedb2e \ + --hash=sha256:213a5adf93d020b74327cb2c1b842884dbdd37f895f42dcc2f09d451d949f811 \ + --hash=sha256:21bb612d148bb5860b7eb2c10faacf1a810799245afd342cf297d7551513fbb6 \ + --hash=sha256:220cc5c35ffaa764dd5bb17cf42df283b5cb7fdf49e10a7b053a06c9cb48ee2b \ + --hash=sha256:2319656ed81124982900b4c37f0e0c58c015af9a7bbc62342ba5ad07ace82ba9 \ + --hash=sha256:36d627906fd44b5fd63c943264e11e96e923f8de77d6016dc2f667b9ad193438 \ + --hash=sha256:3fbb977f802156e7a3f829e9d1d5398f6192375a3e2d1a9ee0803e35fe70a2b9 \ + --hash=sha256:42c05e15111221384019897df20c6fe893b2f697d03c811ee67ec9e0bb5a3424 \ + --hash=sha256:45178cf09d1858a1509dc73ec261bf5b25a625a389b65be2e47b559905f0ab6a \ + --hash=sha256:48fa91c4dfb3b2b9bfdb5c24cd3567575f4e13f9636810462ffed8925352be5a \ + --hash=sha256:4ac8c320bded4718b298281339c1a50fb00a6ba78cb2a63521c39bec95b0209b \ + --hash=sha256:52bc29a946304c360561974c6542d1dd628ddafa69134a7131fdfd6a5d7a1a35 \ + --hash=sha256:76972bcbd7de8e91ad5f0ca884a9f2c477a2125354af624e022c49e5bd0dfff4 \ + --hash=sha256:77cefe00e1b210f9c76c697fedd8fdb8d3dd86563e9c8adc9fa72b90f5e9e4c2 \ + --hash=sha256:837248b4fc3a9b83b9c6214699a13f069dc13510a6a6d7f9ba33145d2841a012 \ + --hash=sha256:88080a0ff8a55eac9c84e3ff3c7665b3b5476c6fbc484775ca1910ce1c3e0b87 \ + --hash=sha256:8c13b81a9347eb8c7548f53fd9a4f08d4dfe996836543f805c987bafa03317ae \ + --hash=sha256:9467697b8083f9667b212633ad6aa4ab32436dcbaf4cd57325debb0ddef2012f \ + --hash=sha256:96d31a6b4354e3b9b8a2c848af75d31da390657e3ac6f30c05c82068b9ed79b9 \ + --hash=sha256:a9d7ec92d71a420185dec44909c32e9a362248c4ae2238234b76d5be37f208cc \ + --hash=sha256:ab7b58f8f82706890924ccdfb5f48002b83d2b5a3845976a9fb705d36c34dcdb \ + --hash=sha256:b37205ad6f00d52f16b6d09f406434ba928c1a1966e2771006a9033c736d30d2 \ + --hash=sha256:b62d586eb25cb8cb70a5746a378fc3194cb7f11ea77170d59f889f5dfe3cec7a \ + --hash=sha256:b98bdd7c456a05eef7cd21fd6b29e3ca243591fe531c62be94a2cc987efb5ac2 \ + --hash=sha256:c253828cb08f47488d60f43c5fc95114c771bbfff085da54bfc79cb4f9e3a372 \ + --hash=sha256:c624b615ce97864eb588779ed4046186f967374185c047070545253a52ab2d57 \ + --hash=sha256:c6f048aa0fd080d6a06cc7e7537c09b53be6642d330ac6f54a600c3ace857ee9 \ + --hash=sha256:cc03acc273c5515ab69f898df99d9d4f12c4d70dbfc24c3acc6203751d0804cf \ + --hash=sha256:d25c20a03e8870f6339bcf67281b946bd20b86f1a544ebbebb87e66a8d642cba \ + --hash=sha256:d2c3554bd31b731cd6490d94a28f3abb8dd770634a9e06eb6d2911b9827db370 \ + --hash=sha256:d4a558c7620340a0931828d8065688b3cc5b4c8eb674bcaf33d18ff4a6870b4a \ + --hash=sha256:df4df0b9d02bb873a106971bb85d448378ef14b86ba96f035f50bbd3688456b4 \ + --hash=sha256:e190b738675a73b581736cc8ec71ae113d6c3768d0bd18bffa5b9a0927b0b6ea + # via ray +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # virtualenv +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # click-repl +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # googleapis-common-protos + # opentelemetry-proto + # proto-plus + # ray + # tensorboardx +py-spy==0.4.1 \ + --hash=sha256:1fb8bf71ab8df95a95cc387deed6552934c50feef2cf6456bc06692a5508fd0c \ + --hash=sha256:4972c21890b6814017e39ac233c22572c4a61fd874524ebc5ccab0f2237aee0a \ + --hash=sha256:532d3525538254d1859b49de1fbe9744df6b8865657c9f0e444bf36ce3f19226 \ + --hash=sha256:6a80ec05eb8a6883863a367c6a4d4f2d57de68466f7956b6367d4edd5c61bb29 \ + --hash=sha256:809094208c6256c8f4ccadd31e9a513fe2429253f48e20066879239ba12cd8cc \ + --hash=sha256:d92e522bd40e9bf7d87c204033ce5bb5c828fca45fa28d970f58d71128069fdc \ + --hash=sha256:e53aa53daa2e47c2eef97dd2455b47bb3a7e7f962796a86cc3e7dbde8e6f4db4 \ + --hash=sha256:ee776b9d512a011d1ad3907ed53ae32ce2f3d9ff3e1782236554e22103b5c084 + # via ray +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # ray +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth +pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 ; sys_platform != 'win32' \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # rich +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # ray +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # celery + # pandas +python-dotenv==1.1.1 \ + --hash=sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc \ + --hash=sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab + # via uvicorn +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +ray==100.0.0.dev0 \ + --hash=sha256:4fef4f9d9cc8b516f22c2eea42b7fa244ef1dace261809d9f175875de0ec9fed +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # google-api-core + # ray +rich==13.3.2 ; sys_platform != 'win32' \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # memray +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # ray +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # opencensus + # python-dateutil +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # ray +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # ray +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # fastapi + # gymnasium + # opentelemetry-api + # opentelemetry-sdk + # opentelemetry-semantic-conventions + # pydantic + # pydantic-core + # pyopenssl + # referencing + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled.txt + # kombu + # pandas +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # requests +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # ray +uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ + --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ + --hash=sha256:10d66943def5fcb6e7b37310eb6b5639fd2ccbc38df1177262b0640c3ca68c1f \ + --hash=sha256:10da8046cc4a8f12c91a1c39d1dd1585c41162a15caaef165c2174db9ef18bdc \ + --hash=sha256:17df489689befc72c39a08359efac29bbee8eee5209650d4b9f34df73d22e414 \ + --hash=sha256:183aef7c8730e54c9a3ee3227464daed66e37ba13040bb3f350bc2ddc040f22f \ + --hash=sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d \ + --hash=sha256:221f4f2a1f46032b403bf3be628011caf75428ee3cc204a22addf96f586b19fd \ + --hash=sha256:2d1f581393673ce119355d56da84fe1dd9d2bb8b3d13ce792524e1607139feff \ + --hash=sha256:359ec2c888397b9e592a889c4d72ba3d6befba8b2bb01743f72fffbde663b59c \ + --hash=sha256:3bf12b0fda68447806a7ad847bfa591613177275d35b6724b1ee573faa3704e3 \ + --hash=sha256:4509360fcc4c3bd2c70d87573ad472de40c13387f5fda8cb58350a1d7475e58d \ + --hash=sha256:460def4412e473896ef179a1671b40c039c7012184b627898eea5072ef6f017a \ + --hash=sha256:461d9ae6660fbbafedd07559c6a2e57cd553b34b0065b6550685f6653a98c1cb \ + --hash=sha256:46923b0b5ee7fc0020bef24afe7836cb068f5050ca04caf6b487c513dc1a20b2 \ + --hash=sha256:53e420a3afe22cdcf2a0f4846e377d16e718bc70103d7088a4f7623567ba5fb0 \ + --hash=sha256:5ee4d4ef48036ff6e5cfffb09dd192c7a5027153948d85b8da7ff705065bacc6 \ + --hash=sha256:67dd654b8ca23aed0a8e99010b4c34aca62f4b7fce88f39d452ed7622c94845c \ + --hash=sha256:787ae31ad8a2856fc4e7c095341cccc7209bd657d0e71ad0dc2ea83c4a6fa8af \ + --hash=sha256:86975dca1c773a2c9864f4c52c5a55631038e387b47eaf56210f873887b6c8dc \ + --hash=sha256:87c43e0f13022b998eb9b973b5e97200c8b90823454d4bc06ab33829e09fb9bb \ + --hash=sha256:88cb67cdbc0e483da00af0b2c3cdad4b7c61ceb1ee0f33fe00e09c81e3a6cb75 \ + --hash=sha256:8a375441696e2eda1c43c44ccb66e04d61ceeffcd76e4929e527b7fa401b90fb \ + --hash=sha256:a5c39f217ab3c663dc699c04cbd50c13813e31d917642d459fdcec07555cc553 \ + --hash=sha256:b9fb766bb57b7388745d8bcc53a359b116b8a04c83a2288069809d2b3466c37e \ + --hash=sha256:baa0e6291d91649c6ba4ed4b2f982f9fa165b5bbd50a9e203c416a2797bab3c6 \ + --hash=sha256:baa4dcdbd9ae0a372f2167a207cd98c9f9a1ea1188a8a526431eef2f8116cc8d \ + --hash=sha256:bc09f0ff191e61c2d592a752423c767b4ebb2986daa9ed62908e2b1b9a9ae206 \ + --hash=sha256:bd53ecc9a0f3d87ab847503c2e1552b690362e005ab54e8a48ba97da3924c0dc \ + --hash=sha256:bfd55dfcc2a512316e65f16e503e9e450cab148ef11df4e4e679b5e8253a5281 \ + --hash=sha256:c097078b8031190c934ed0ebfee8cc5f9ba9642e6eb88322b9958b649750f72b \ + --hash=sha256:c0f3fa6200b3108919f8bdabb9a7f87f20e7097ea3c543754cabc7d717d95cf8 \ + --hash=sha256:e678ad6fe52af2c58d2ae3c73dc85524ba8abe637f134bf3564ed07f555c5e79 \ + --hash=sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f \ + --hash=sha256:f0ce1b49560b1d2d8a2977e3ba4afb2414fb46b86a1b64056bc4ab929efdafbe \ + --hash=sha256:f38b2e090258d051d68a5b14d1da7203a3c3677321cf32a95a6f4db4dd8b6f26 \ + --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ + --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 + # via + # -c python/requirements_compiled.txt + # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled.txt + # amqp + # celery + # kombu +virtualenv==20.29.1 \ + --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ + --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 + # via + # -c python/requirements_compiled.txt + # ray +watchfiles==0.19.0 \ + --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ + --hash=sha256:09ea3397aecbc81c19ed7f025e051a7387feefdb789cf768ff994c1228182fda \ + --hash=sha256:176a9a7641ec2c97b24455135d58012a5be5c6217fc4d5fef0b2b9f75dbf5154 \ + --hash=sha256:18b28f6ad871b82df9542ff958d0c86bb0d8310bb09eb8e87d97318a3b5273af \ + --hash=sha256:20b44221764955b1e703f012c74015306fb7e79a00c15370785f309b1ed9aa8d \ + --hash=sha256:3d7d267d27aceeeaa3de0dd161a0d64f0a282264d592e335fff7958cc0cbae7c \ + --hash=sha256:5471582658ea56fca122c0f0d0116a36807c63fefd6fdc92c71ca9a4491b6b48 \ + --hash=sha256:5569fc7f967429d4bc87e355cdfdcee6aabe4b620801e2cf5805ea245c06097c \ + --hash=sha256:68dce92b29575dda0f8d30c11742a8e2b9b8ec768ae414b54f7453f27bdf9545 \ + --hash=sha256:79c533ff593db861ae23436541f481ec896ee3da4e5db8962429b441bbaae16e \ + --hash=sha256:7f3920b1285a7d3ce898e303d84791b7bf40d57b7695ad549dc04e6a44c9f120 \ + --hash=sha256:91633e64712df3051ca454ca7d1b976baf842d7a3640b87622b323c55f3345e7 \ + --hash=sha256:945be0baa3e2440151eb3718fd8846751e8b51d8de7b884c90b17d271d34cae8 \ + --hash=sha256:9afd0d69429172c796164fd7fe8e821ade9be983f51c659a38da3faaaaac44dc \ + --hash=sha256:9c75eff897786ee262c9f17a48886f4e98e6cfd335e011c591c305e5d083c056 \ + --hash=sha256:b538014a87f94d92f98f34d3e6d2635478e6be6423a9ea53e4dd96210065e193 \ + --hash=sha256:b6577b8c6c8701ba8642ea9335a129836347894b666dd1ec2226830e263909d3 \ + --hash=sha256:c0376deac92377817e4fb8f347bf559b7d44ff556d9bc6f6208dd3f79f104aaf \ + --hash=sha256:cae3dde0b4b2078f31527acff6f486e23abed307ba4d3932466ba7cdd5ecec79 \ + --hash=sha256:cb5d45c4143c1dd60f98a16187fd123eda7248f84ef22244818c18d531a249d1 \ + --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ + --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # uvicorn +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py39.lock b/python/deplocks/ray_img/ray_img_py39.lock new file mode 100644 index 000000000000..9787b8fc5971 --- /dev/null +++ b/python/deplocks/ray_img/ray_img_py39.lock @@ -0,0 +1,2173 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py39.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links .whl/ +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # aiohttp-cors + # ray +aiohttp-cors==0.7.0 \ + --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ + --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d + # via + # -c python/requirements_compiled.txt + # ray +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +amqp==5.3.1 \ + --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ + --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 + # via + # -c python/requirements_compiled.txt + # kombu +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # starlette + # watchfiles +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +billiard==4.2.1 \ + --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ + --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb + # via + # -c python/requirements_compiled.txt + # celery +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +celery==5.5.3 \ + --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ + --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 + # via + # -c python/requirements_compiled.txt + # ray +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # requests +cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # celery + # click-didyoumean + # click-plugins + # click-repl + # ray + # uvicorn +click-didyoumean==0.3.1 \ + --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ + --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c + # via + # -c python/requirements_compiled.txt + # celery +click-plugins==1.1.1.2 \ + --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ + --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 + # via + # -c python/requirements_compiled.txt + # celery +click-repl==0.3.0 \ + --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ + --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 + # via + # -c python/requirements_compiled.txt + # celery +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # gymnasium +colorful==0.5.5 \ + --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ + --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d + # via + # -c python/requirements_compiled.txt + # ray +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # pyopenssl +cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ + --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ + --hash=sha256:2d16eaa2d086e416ac13467d4ff3184b9a081fe76b761ce51d4a46ec1c4bd28a \ + --hash=sha256:432273fd4b61a284f7d705d08b8291403548fd422bcbd945635cc155bc6a923d \ + --hash=sha256:4c51a1062a3c5a826b0425952d229ffe73b1791656a31de95b318117e67a9576 \ + --hash=sha256:4c8e9fdb1f3ffc3151808f8bb8c871518d2783e1be8b53792b698a840543d60c \ + --hash=sha256:51b1d6cb83d82dfa306c9efaeb4d57f24bad3041ebd8716d61072676abbcf67b \ + --hash=sha256:52185a2cf95d3bac2c3fda95c9c8e06a985b5a00cd2e587d3caace337db33899 \ + --hash=sha256:5afb6658faa22f21479ae2c0a07254df31c0aebc36907a64a1f6be4ecc9e96da \ + --hash=sha256:d3dc91ef9c4104652195eea4b282d343ecad653021efe20d1c8dd8dfe8ccfd86 \ + --hash=sha256:d60d1e124592cb82a5f3f45b3e7bee7bda7b72a743029f275e9d6b125f338c60 \ + --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ + --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa + # via + # -c python/requirements_compiled.txt + # ray +distlib==0.3.7 \ + --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ + --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 + # via + # -c python/requirements_compiled.txt + # virtualenv +dm-tree==0.1.8 \ + --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ + --hash=sha256:09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760 \ + --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \ + --hash=sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf \ + --hash=sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430 \ + --hash=sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de \ + --hash=sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317 \ + --hash=sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca \ + --hash=sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913 \ + --hash=sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf \ + --hash=sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef \ + --hash=sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426 \ + --hash=sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1 \ + --hash=sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e \ + --hash=sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60 \ + --hash=sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5 \ + --hash=sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f \ + --hash=sha256:435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b \ + --hash=sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410 \ + --hash=sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134 \ + --hash=sha256:75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb \ + --hash=sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b \ + --hash=sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7 \ + --hash=sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393 \ + --hash=sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571 \ + --hash=sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368 \ + --hash=sha256:94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22 \ + --hash=sha256:96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715 \ + --hash=sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80 \ + --hash=sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7 \ + --hash=sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d \ + --hash=sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a \ + --hash=sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d \ + --hash=sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6 \ + --hash=sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5 \ + --hash=sha256:c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e \ + --hash=sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68 \ + --hash=sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8 \ + --hash=sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f \ + --hash=sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436 \ + --hash=sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee \ + --hash=sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb \ + --hash=sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144 \ + --hash=sha256:ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8 \ + --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ + --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d + # via + # -c python/requirements_compiled.txt + # ray +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via anyio +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # ray +fastrlock==0.8.2 ; sys_platform != 'darwin' \ + --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ + --hash=sha256:07ed3c7b3867c05a3d6be4ced200c7767000f3431b9be6da66972822dd86e8be \ + --hash=sha256:08315bde19d0c2e6b06593d5a418be3dc8f9b1ee721afa96867b9853fceb45cf \ + --hash=sha256:11bbbbc526363955aeddb9eec4cee2a0012322b7b2f15b54f44454fcf4fd398a \ + --hash=sha256:17734e2e5af4c07ddb0fb10bd484e062c22de3be6b67940b9cc6ec2f18fa61ba \ + --hash=sha256:1b15430b93d7eb3d56f6ff690d2ebecb79ed0e58248427717eba150a508d1cd7 \ + --hash=sha256:1fed2f4797ad68e9982038423018cf08bec5f4ce9fed63a94a790773ed6a795c \ + --hash=sha256:2074548a335fcf7d19ebb18d9208da9e33b06f745754466a7e001d2b1c58dd19 \ + --hash=sha256:2587cedbb36c7988e707d83f0f1175c1f882f362b5ebbee25d70218ea33d220d \ + --hash=sha256:25945f962c7bd808415cfde3da624d4399d4ea71ed8918538375f16bceb79e1c \ + --hash=sha256:27786c62a400e282756ae1b090bcd7cfa35f28270cff65a9e7b27a5327a32561 \ + --hash=sha256:2c1719ddc8218b01e82fb2e82e8451bd65076cb96d7bef4477194bbb4305a968 \ + --hash=sha256:2d5595903444c854b99c42122b87edfe8a37cd698a4eae32f4fd1d2a7b6c115d \ + --hash=sha256:30bdbe4662992348132d03996700e1cf910d141d629179b967b146a22942264e \ + --hash=sha256:31a27a2edf482df72b91fe6c6438314d2c65290aa7becc55589d156c9b91f0da \ + --hash=sha256:320fd55bafee3eb069cfb5d6491f811a912758387ef2193840e2663e80e16f48 \ + --hash=sha256:33145acbad8317584cd64588131c7e1e286beef6280c0009b4544c91fce171d2 \ + --hash=sha256:43a241655e83e4603a152192cf022d5ca348c2f4e56dfb02e5c9c4c1a32f9cdb \ + --hash=sha256:4d63b6596368dab9e0cc66bf047e7182a56f33b34db141816a4f21f5bf958228 \ + --hash=sha256:4fb04442b6d1e2b36c774919c6bcbe3339c61b337261d4bd57e27932589095af \ + --hash=sha256:4fb2e77ff04bc4beb71d63c8e064f052ce5a6ea1e001d528d4d7f4b37d736f2e \ + --hash=sha256:5460c5ee6ced6d61ec8cd2324ebbe793a4960c4ffa2131ffff480e3b61c99ec5 \ + --hash=sha256:59344c1d46b7dec97d3f22f1cc930fafe8980b3c5bc9c9765c56738a5f1559e4 \ + --hash=sha256:5dfb78dd600a12f23fc0c3ec58f81336229fdc74501ecf378d1ce5b3f2f313ea \ + --hash=sha256:643e1e65b4f5b284427e61a894d876d10459820e93aa1e724dfb415117be24e0 \ + --hash=sha256:644ec9215cf9c4df8028d8511379a15d9c1af3e16d80e47f1b6fdc6ba118356a \ + --hash=sha256:66f2662c640bb71a1016a031eea6eef9d25c2bcdf7ffd1d1ddc5a58f9a1ced04 \ + --hash=sha256:685e656048b59d8dfde8c601f188ad53a4d719eb97080cafc8696cda6d75865e \ + --hash=sha256:7269bb3fc15587b0c191eecd95831d771a7d80f0c48929e560806b038ff3066c \ + --hash=sha256:73426f5eb2ecc10626c67cf86bd0af9e00d53e80e5c67d5ce8e18376d6abfa09 \ + --hash=sha256:75c07726c8b1a52147fd7987d6baaa318c5dced1416c3f25593e40f56e10755b \ + --hash=sha256:790fc19bccbd39426060047e53629f171a44745613bf360a045e9f9c8c4a2cea \ + --hash=sha256:7a2ccaf88ac0db153e84305d1ef0aa138cea82c6a88309066f6eaa3bc98636cd \ + --hash=sha256:87f4e01b042c84e6090dbc4fbe3415ddd69f6bc0130382323f9d3f1b8dd71b46 \ + --hash=sha256:88f079335e9da631efa64486c8207564a7bcd0c00526bb9e842e9d5b7e50a6cc \ + --hash=sha256:8c1c91a68926421f5ccbc82c85f83bd3ba593b121a46a1b9a554b3f0dd67a4bf \ + --hash=sha256:9121a894d74e65557e47e777060a495ab85f4b903e80dd73a3c940ba042920d7 \ + --hash=sha256:94e348c72a1fd1f8191f25ea056448e4f5a87b8fbf005b39d290dcb0581a48cd \ + --hash=sha256:98195866d3a9949915935d40a88e4f1c166e82e378f622c88025f2938624a90a \ + --hash=sha256:99dd6652bd6f730beadf74ef769d38c6bbd8ee6d1c15c8d138ea680b0594387f \ + --hash=sha256:9af691a9861027181d4de07ed74f0aee12a9650ac60d0a07f4320bff84b5d95f \ + --hash=sha256:a3b8b5d2935403f1b4b25ae324560e94b59593a38c0d2e7b6c9872126a9622ed \ + --hash=sha256:a3dcc876050b8f5cbc0ee84ef1e7f0c1dfe7c148f10098828bc4403683c33f10 \ + --hash=sha256:a74f5a92fa6e51c4f3c69b29c4662088b97be12f40652a21109605a175c81824 \ + --hash=sha256:ab91b0c36e95d42e1041a4907e3eefd06c482d53af3c7a77be7e214cc7cd4a63 \ + --hash=sha256:ad1bc61c7f6b0e58106aaab034916b6cb041757f708b07fbcdd9d6e1ac629225 \ + --hash=sha256:adcb9e77aa132cc6c9de2ffe7cf880a20aa8cdba21d367d1da1a412f57bddd5d \ + --hash=sha256:b22ea9bf5f9fad2b0077e944a7813f91593a4f61adf8faf734a70aed3f2b3a40 \ + --hash=sha256:b2a1c354f13f22b737621d914f3b4a8434ae69d3027a775e94b3e671756112f9 \ + --hash=sha256:b32fdf874868326351a75b1e4c02f97e802147119ae44c52d3d9da193ec34f5b \ + --hash=sha256:b3853ed4ce522598dc886160a7bab432a093051af85891fa2f5577c1dcac8ed6 \ + --hash=sha256:b443e73a4dfc7b6e0800ea4c13567b9694358e86f53bb2612a51c9e727cac67b \ + --hash=sha256:b4c9083ea89ab236b06e9ef2263971db3b4b507195fc7d5eecab95828dcae325 \ + --hash=sha256:b8ca0fe21458457077e4cb2d81e1ebdb146a00b3e9e2db6180a773f7ea905032 \ + --hash=sha256:c393af77c659a38bffbca215c0bcc8629ba4299568308dd7e4ff65d62cabed39 \ + --hash=sha256:c6bffa978793bea5e1b00e677062e53a62255439339591b70e209fa1552d5ee0 \ + --hash=sha256:ccf39ad5702e33e4d335b48ef9d56e21619b529b7f7471b5211419f380329b62 \ + --hash=sha256:cf81e0278b645004388873e0a1f9e3bc4c9ab8c18e377b14ed1a544be4b18c9a \ + --hash=sha256:d34546ad2e4a480b94b6797bcc5a322b3c705c4c74c3e4e545c4a3841c1b2d59 \ + --hash=sha256:d47713ffe6d4a627fbf078be9836a95ac106b4a0543e3841572c91e292a5d885 \ + --hash=sha256:d918dfe473291e8bfd8e13223ea5cb9b317bd9f50c280923776c377f7c64b428 \ + --hash=sha256:dbdce852e6bb66e1b8c36679d482971d69d93acf1785657522e51b7de30c3356 \ + --hash=sha256:dcc1bf0ac8a194313cf6e645e300a8a379674ceed8e0b1e910a2de3e3c28989e \ + --hash=sha256:dd961a32a7182c3891cdebca417fda67496d5d5de6ae636962254d22723bdf52 \ + --hash=sha256:ddf5d247f686aec853ddcc9a1234bfcc6f57b0a0670d2ad82fc25d8ae7e6a15f \ + --hash=sha256:e27c3cd27fbd25e5223c5c992b300cd4ee8f0a75c6f222ce65838138d853712c \ + --hash=sha256:e380ec4e6d8b26e389713995a43cb7fe56baea2d25fe073d4998c4821a026211 \ + --hash=sha256:e4bbde174a0aff5f6eeba75cf8c4c5d2a316316bc21f03a0bddca0fc3659a6f3 \ + --hash=sha256:e8b49b5743ede51e0bcf6805741f39f5e0e0fd6a172ba460cb39e3097ba803bb \ + --hash=sha256:e9904b5b37c3e5bb4a245c56bc4b7e497da57ffb8528f4fc39af9dcb168ee2e1 \ + --hash=sha256:ea96503b918fceaf40443182742b8964d47b65c5ebdea532893cb9479620000c \ + --hash=sha256:eb31fe390f03f7ae886dcc374f1099ec88526631a4cb891d399b68181f154ff0 \ + --hash=sha256:ebb32d776b61acd49f859a1d16b9e3d84e7b46d0d92aebd58acd54dc38e96664 \ + --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ + --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # ray + # virtualenv +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # ray +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # opencensus +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # google-api-core +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via ray +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # ray +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # uvicorn +httptools==0.6.4 \ + --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ + --hash=sha256:0e563e54979e97b6d13f1bbc05a96109923e76b901f786a5eae36e99c01237bd \ + --hash=sha256:16e603a3bff50db08cd578d54f07032ca1631450ceb972c2f834c2b860c28ea2 \ + --hash=sha256:288cd628406cc53f9a541cfaf06041b4c71d751856bab45e3702191f931ccd17 \ + --hash=sha256:28908df1b9bb8187393d5b5db91435ccc9c8e891657f9cbb42a2541b44c82fc8 \ + --hash=sha256:322d20ea9cdd1fa98bd6a74b77e2ec5b818abdc3d36695ab402a0de8ef2865a3 \ + --hash=sha256:342dd6946aa6bda4b8f18c734576106b8a31f2fe31492881a9a160ec84ff4bd5 \ + --hash=sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da \ + --hash=sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0 \ + --hash=sha256:40a5ec98d3f49904b9fe36827dcf1aadfef3b89e2bd05b0e35e94f97c2b14721 \ + --hash=sha256:40b0f7fe4fd38e6a507bdb751db0379df1e99120c65fbdc8ee6c1d044897a636 \ + --hash=sha256:40dc6a8e399e15ea525305a2ddba998b0af5caa2566bcd79dcbe8948181eeaff \ + --hash=sha256:4b36913ba52008249223042dca46e69967985fb4051951f94357ea681e1f5dc0 \ + --hash=sha256:4d87b29bd4486c0093fc64dea80231f7c7f7eb4dc70ae394d70a495ab8436071 \ + --hash=sha256:4e93eee4add6493b59a5c514da98c939b244fce4a0d8879cd3f466562f4b7d5c \ + --hash=sha256:59e724f8b332319e2875efd360e61ac07f33b492889284a3e05e6d13746876f4 \ + --hash=sha256:69422b7f458c5af875922cdb5bd586cc1f1033295aa9ff63ee196a87519ac8e1 \ + --hash=sha256:703c346571fa50d2e9856a37d7cd9435a25e7fd15e236c397bf224afaa355fe9 \ + --hash=sha256:85071a1e8c2d051b507161f6c3e26155b5c790e4e28d7f236422dbacc2a9cc44 \ + --hash=sha256:856f4bc0478ae143bad54a4242fccb1f3f86a6e1be5548fecfd4102061b3a083 \ + --hash=sha256:85797e37e8eeaa5439d33e556662cc370e474445d5fab24dcadc65a8ffb04003 \ + --hash=sha256:90d96a385fa941283ebd231464045187a31ad932ebfa541be8edf5b3c2328959 \ + --hash=sha256:94978a49b8f4569ad607cd4946b759d90b285e39c0d4640c6b36ca7a3ddf2efc \ + --hash=sha256:aafe0f1918ed07b67c1e838f950b1c1fabc683030477e60b335649b8020e1076 \ + --hash=sha256:ab9ba8dcf59de5181f6be44a77458e45a578fc99c31510b8c65b7d5acc3cf490 \ + --hash=sha256:ade273d7e767d5fae13fa637f4d53b6e961fb7fd93c7797562663f0171c26660 \ + --hash=sha256:b799de31416ecc589ad79dd85a0b2657a8fe39327944998dea368c1d4c9e55e6 \ + --hash=sha256:c26f313951f6e26147833fc923f78f95604bbec812a43e5ee37f26dc9e5a686c \ + --hash=sha256:ca80b7485c76f768a3bc83ea58373f8db7b015551117375e4918e2aa77ea9b50 \ + --hash=sha256:d1ffd262a73d7c28424252381a5b854c19d9de5f56f075445d33919a637e3547 \ + --hash=sha256:d3f0d369e7ffbe59c4b6116a44d6a8eb4783aae027f2c0b366cf0aa964185dba \ + --hash=sha256:d54efd20338ac52ba31e7da78e4a72570cf729fac82bc31ff9199bedf1dc7440 \ + --hash=sha256:dacdd3d10ea1b4ca9df97a0a303cbacafc04b5cd375fa98732678151643d4988 \ + --hash=sha256:db353d22843cf1028f43c3651581e4bb49374d85692a85f95f7b9a130e1b2cab \ + --hash=sha256:db78cb9ca56b59b016e64b6031eda5653be0589dba2b1b43453f6e8b405a0970 \ + --hash=sha256:deee0e3343f98ee8047e9f4c5bc7cedbf69f5734454a94c38ee829fb2d5fa3c1 \ + --hash=sha256:df017d6c780287d5c80601dafa31f17bddb170232d85c066604d8558683711a2 \ + --hash=sha256:df959752a0c2748a65ab5387d08287abf6779ae9165916fe053e68ae1fbdc47f \ + --hash=sha256:ec4f178901fa1834d4a060320d2f3abc5c9e39766953d038f1458cb885f47e81 \ + --hash=sha256:f47f8ed67cc0ff862b84a1189831d1d33c963fb3ce1ee0c65d3b0cbe7b711069 \ + --hash=sha256:f8787367fbdfccae38e35abf7641dafc5310310a5987b689f4c32cc8cc3ee975 \ + --hash=sha256:f9eb89ecf8b290f2e293325c646a211ff1c2493222798bb80a530c5e7502494f \ + --hash=sha256:fc411e1c0a7dcd2f902c7c48cf079947a7e65b5485dea9decb82b9105ca71a43 + # via uvicorn +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # gymnasium + # opentelemetry-api +jinja2==3.1.6 ; sys_platform != 'win32' \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # memray +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # ray +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +kombu==5.5.4 \ + --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ + --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 + # via + # -c python/requirements_compiled.txt + # celery +lz4==4.3.3 \ + --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ + --hash=sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2 \ + --hash=sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0 \ + --hash=sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563 \ + --hash=sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f \ + --hash=sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa \ + --hash=sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d \ + --hash=sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61 \ + --hash=sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6 \ + --hash=sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2 \ + --hash=sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1 \ + --hash=sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809 \ + --hash=sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394 \ + --hash=sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2 \ + --hash=sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775 \ + --hash=sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f \ + --hash=sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba \ + --hash=sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc \ + --hash=sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd \ + --hash=sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c \ + --hash=sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24 \ + --hash=sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071 \ + --hash=sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201 \ + --hash=sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf \ + --hash=sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6 \ + --hash=sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21 \ + --hash=sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d \ + --hash=sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e \ + --hash=sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807 \ + --hash=sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7 \ + --hash=sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205 \ + --hash=sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604 \ + --hash=sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d \ + --hash=sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05 \ + --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ + --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 + # via + # -c python/requirements_compiled.txt + # ray +markdown-it-py==2.2.0 ; sys_platform != 'win32' \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 ; sys_platform != 'win32' \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 +mdurl==0.1.2 ; sys_platform != 'win32' \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 ; sys_platform != 'win32' \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # ray +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # ray +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # cupy-cuda12x + # gymnasium + # pandas + # ray + # scipy + # tensorboardx +opencensus==0.11.4 \ + --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ + --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 + # via + # -c python/requirements_compiled.txt + # ray +opencensus-context==0.1.3 \ + --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ + --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c + # via + # -c python/requirements_compiled.txt + # opencensus +opentelemetry-api==1.34.1 \ + --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ + --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # opentelemetry-sdk + # opentelemetry-semantic-conventions +opentelemetry-exporter-prometheus==0.55b1 \ + --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ + --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace + # via + # -c python/requirements_compiled.txt + # ray +opentelemetry-sdk==1.34.1 \ + --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ + --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +opentelemetry-semantic-conventions==0.55b1 \ + --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ + --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 + # via + # -c python/requirements_compiled.txt + # opentelemetry-sdk +ormsgpack==1.7.0 \ + --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ + --hash=sha256:22418a4d399027a72fb2e6b873559b1886cf2e63323ca7afc17b222c454413b7 \ + --hash=sha256:2c22c62a6bc93bcb194b7f91864ca0b39455b2cbbfc1538a3da0f9ec3c11d184 \ + --hash=sha256:3a6a97937d2cf21496d7689b90a43df83c5062bbe846aaa39197cc9ad73eaa7b \ + --hash=sha256:462089a419dbde654915ccb0b859c0dbe3c178b0ac580018e82befea6ccd73f4 \ + --hash=sha256:4b353204e99b56c1d33f1cf4767bd1fe1195596181a1cc789f25aa26c0b50f3d \ + --hash=sha256:5ec763096d978d35eedcef0af13991a10741717c2e236b26f4c2047b0740ea7b \ + --hash=sha256:5fefa1ca842dbba258401ea958113fe62c6b70a7a4d46edac440113f68dc431e \ + --hash=sha256:65525438b4a8b3b64ccfcda25e758ea3db392d1c206b5e09ef70efbbafa6dbf9 \ + --hash=sha256:6b4c98839cb7fc2a212037d2258f3a22857155249eb293d45c45cb974cfba834 \ + --hash=sha256:6d114652dadd81802b8a35a49e07a3e9ef2a47aed6123fb5031f2220d1c8e434 \ + --hash=sha256:77bc2ea387d85cfad045b9bcb8040bae43ad32dafe9363360f732cc19d489bbe \ + --hash=sha256:7e6ada21f5c7a20ff7cf9b061c44e3814352f819947a12022ad8cb52a9f2a809 \ + --hash=sha256:8d301e47565fe0e52a60052e730a9bb7669dfbd2a94643b8be925e3928c64c15 \ + --hash=sha256:90aabfd816db60dadab1100d583d061e0238209015bf684f8170c0fca4eb445a \ + --hash=sha256:91ebb7d3609db249cdff629ffef83ec3d025b1384749a297cf3b6a8240cf22ac \ + --hash=sha256:97723786755a7df85fcf6e68d7b5359dacea98d5c26b1d9af219a3cc05df4734 \ + --hash=sha256:9b0945523ccc75aa6907f38f2240d36818618baccb8633923bd7740a5a929e67 \ + --hash=sha256:a0ca6a64d47073f22ecc1dd96b384e44f98796d3f88ee383e92dfbcdf18c2efd \ + --hash=sha256:a5e12b51a590be47ccef67907905653e679fc2f920854b456edc216690ecc09c \ + --hash=sha256:a8fbe7bb50ee8381df030823d9366984fac718447947c2327969405d1d799b95 \ + --hash=sha256:c683071bf4527ffa7b6cfcf28f750d1a82eb77846d106743c09261ab1b79b193 \ + --hash=sha256:ca4d35b694f32112eb33ac0b733cb903dbbc59f019d05ca3d74f6ad2f587b0bf \ + --hash=sha256:e8385181bf195af80fc270e64fd477f1c414ffb05837320382e2ec9ca34be0ec \ + --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ + --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd + # via + # -c python/requirements_compiled.txt + # ray +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # kombu + # ray + # tensorboardx +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # ray +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # virtualenv +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # opentelemetry-exporter-prometheus + # ray +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # click-repl +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # googleapis-common-protos + # opentelemetry-proto + # proto-plus + # ray + # tensorboardx +py-spy==0.4.0 ; python_full_version < '3.12' \ + --hash=sha256:47cdda4c34d9b6cb01f3aaeceb2e88faf57da880207fe72ff6ff97e9bb6cc8a9 \ + --hash=sha256:77d8f637ade38367d944874776f45b703b7ac5938b1f7be8891f3a5876ddbb96 \ + --hash=sha256:806602ce7972782cc9c1e383f339bfc27bfb822d42485e6a3e0530ae5040e1f0 \ + --hash=sha256:87573e64dbfdfc89ba2e0f5e2f525aa84e0299c7eb6454b47ea335fde583a7a0 \ + --hash=sha256:8bf2f3702cef367a489faa45177b41a6c31b2a3e5bd78c978d44e29340152f5a \ + --hash=sha256:c5f06ffce4c9c98b7fc9f5e67e5e7db591173f1351837633f3f23d9378b1d18a \ + --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ + --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 + # via + # -c python/requirements_compiled.txt + # ray +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # ray +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth +pycparser==2.21 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 ; sys_platform != 'win32' \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # rich +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # ray +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # celery + # pandas +python-dotenv==1.1.1 \ + --hash=sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc \ + --hash=sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab + # via uvicorn +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +ray==100.0.0.dev0 \ + --hash=sha256:09b6b63a28bde8dfce18d07c3316c1330ecb81d57d4e2831a4d3e83883b6267d +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # google-api-core + # ray +rich==13.3.2 ; sys_platform != 'win32' \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # memray +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # ray +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # opencensus + # python-dateutil +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # ray +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi + # ray +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # ray +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # exceptiongroup + # fastapi + # gymnasium + # opentelemetry-api + # opentelemetry-sdk + # opentelemetry-semantic-conventions + # pydantic + # pydantic-core + # pyopenssl + # referencing + # starlette + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzdata==2025.2 \ + --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ + --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 + # via + # -c python/requirements_compiled.txt + # kombu +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # requests +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # ray +uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ + --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ + --hash=sha256:10d66943def5fcb6e7b37310eb6b5639fd2ccbc38df1177262b0640c3ca68c1f \ + --hash=sha256:10da8046cc4a8f12c91a1c39d1dd1585c41162a15caaef165c2174db9ef18bdc \ + --hash=sha256:17df489689befc72c39a08359efac29bbee8eee5209650d4b9f34df73d22e414 \ + --hash=sha256:183aef7c8730e54c9a3ee3227464daed66e37ba13040bb3f350bc2ddc040f22f \ + --hash=sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d \ + --hash=sha256:221f4f2a1f46032b403bf3be628011caf75428ee3cc204a22addf96f586b19fd \ + --hash=sha256:2d1f581393673ce119355d56da84fe1dd9d2bb8b3d13ce792524e1607139feff \ + --hash=sha256:359ec2c888397b9e592a889c4d72ba3d6befba8b2bb01743f72fffbde663b59c \ + --hash=sha256:3bf12b0fda68447806a7ad847bfa591613177275d35b6724b1ee573faa3704e3 \ + --hash=sha256:4509360fcc4c3bd2c70d87573ad472de40c13387f5fda8cb58350a1d7475e58d \ + --hash=sha256:460def4412e473896ef179a1671b40c039c7012184b627898eea5072ef6f017a \ + --hash=sha256:461d9ae6660fbbafedd07559c6a2e57cd553b34b0065b6550685f6653a98c1cb \ + --hash=sha256:46923b0b5ee7fc0020bef24afe7836cb068f5050ca04caf6b487c513dc1a20b2 \ + --hash=sha256:53e420a3afe22cdcf2a0f4846e377d16e718bc70103d7088a4f7623567ba5fb0 \ + --hash=sha256:5ee4d4ef48036ff6e5cfffb09dd192c7a5027153948d85b8da7ff705065bacc6 \ + --hash=sha256:67dd654b8ca23aed0a8e99010b4c34aca62f4b7fce88f39d452ed7622c94845c \ + --hash=sha256:787ae31ad8a2856fc4e7c095341cccc7209bd657d0e71ad0dc2ea83c4a6fa8af \ + --hash=sha256:86975dca1c773a2c9864f4c52c5a55631038e387b47eaf56210f873887b6c8dc \ + --hash=sha256:87c43e0f13022b998eb9b973b5e97200c8b90823454d4bc06ab33829e09fb9bb \ + --hash=sha256:88cb67cdbc0e483da00af0b2c3cdad4b7c61ceb1ee0f33fe00e09c81e3a6cb75 \ + --hash=sha256:8a375441696e2eda1c43c44ccb66e04d61ceeffcd76e4929e527b7fa401b90fb \ + --hash=sha256:a5c39f217ab3c663dc699c04cbd50c13813e31d917642d459fdcec07555cc553 \ + --hash=sha256:b9fb766bb57b7388745d8bcc53a359b116b8a04c83a2288069809d2b3466c37e \ + --hash=sha256:baa0e6291d91649c6ba4ed4b2f982f9fa165b5bbd50a9e203c416a2797bab3c6 \ + --hash=sha256:baa4dcdbd9ae0a372f2167a207cd98c9f9a1ea1188a8a526431eef2f8116cc8d \ + --hash=sha256:bc09f0ff191e61c2d592a752423c767b4ebb2986daa9ed62908e2b1b9a9ae206 \ + --hash=sha256:bd53ecc9a0f3d87ab847503c2e1552b690362e005ab54e8a48ba97da3924c0dc \ + --hash=sha256:bfd55dfcc2a512316e65f16e503e9e450cab148ef11df4e4e679b5e8253a5281 \ + --hash=sha256:c097078b8031190c934ed0ebfee8cc5f9ba9642e6eb88322b9958b649750f72b \ + --hash=sha256:c0f3fa6200b3108919f8bdabb9a7f87f20e7097ea3c543754cabc7d717d95cf8 \ + --hash=sha256:e678ad6fe52af2c58d2ae3c73dc85524ba8abe637f134bf3564ed07f555c5e79 \ + --hash=sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f \ + --hash=sha256:f0ce1b49560b1d2d8a2977e3ba4afb2414fb46b86a1b64056bc4ab929efdafbe \ + --hash=sha256:f38b2e090258d051d68a5b14d1da7203a3c3677321cf32a95a6f4db4dd8b6f26 \ + --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ + --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 + # via + # -c python/requirements_compiled.txt + # uvicorn +vine==5.1.0 \ + --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ + --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 + # via + # -c python/requirements_compiled.txt + # amqp + # celery + # kombu +virtualenv==20.29.1 \ + --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ + --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 + # via + # -c python/requirements_compiled.txt + # ray +watchfiles==0.19.0 \ + --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ + --hash=sha256:09ea3397aecbc81c19ed7f025e051a7387feefdb789cf768ff994c1228182fda \ + --hash=sha256:176a9a7641ec2c97b24455135d58012a5be5c6217fc4d5fef0b2b9f75dbf5154 \ + --hash=sha256:18b28f6ad871b82df9542ff958d0c86bb0d8310bb09eb8e87d97318a3b5273af \ + --hash=sha256:20b44221764955b1e703f012c74015306fb7e79a00c15370785f309b1ed9aa8d \ + --hash=sha256:3d7d267d27aceeeaa3de0dd161a0d64f0a282264d592e335fff7958cc0cbae7c \ + --hash=sha256:5471582658ea56fca122c0f0d0116a36807c63fefd6fdc92c71ca9a4491b6b48 \ + --hash=sha256:5569fc7f967429d4bc87e355cdfdcee6aabe4b620801e2cf5805ea245c06097c \ + --hash=sha256:68dce92b29575dda0f8d30c11742a8e2b9b8ec768ae414b54f7453f27bdf9545 \ + --hash=sha256:79c533ff593db861ae23436541f481ec896ee3da4e5db8962429b441bbaae16e \ + --hash=sha256:7f3920b1285a7d3ce898e303d84791b7bf40d57b7695ad549dc04e6a44c9f120 \ + --hash=sha256:91633e64712df3051ca454ca7d1b976baf842d7a3640b87622b323c55f3345e7 \ + --hash=sha256:945be0baa3e2440151eb3718fd8846751e8b51d8de7b884c90b17d271d34cae8 \ + --hash=sha256:9afd0d69429172c796164fd7fe8e821ade9be983f51c659a38da3faaaaac44dc \ + --hash=sha256:9c75eff897786ee262c9f17a48886f4e98e6cfd335e011c591c305e5d083c056 \ + --hash=sha256:b538014a87f94d92f98f34d3e6d2635478e6be6423a9ea53e4dd96210065e193 \ + --hash=sha256:b6577b8c6c8701ba8642ea9335a129836347894b666dd1ec2226830e263909d3 \ + --hash=sha256:c0376deac92377817e4fb8f347bf559b7d44ff556d9bc6f6208dd3f79f104aaf \ + --hash=sha256:cae3dde0b4b2078f31527acff6f486e23abed307ba4d3932466ba7cdd5ecec79 \ + --hash=sha256:cb5d45c4143c1dd60f98a16187fd123eda7248f84ef22244818c18d531a249d1 \ + --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ + --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 + # via + # -c python/requirements_compiled.txt + # ray + # uvicorn +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # uvicorn +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata From 92b3a26abea72ee5bcbdd69fe23a327d628cc6da Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Mon, 15 Sep 2025 22:10:47 +0530 Subject: [PATCH 1208/1566] add more tests for async inf (#56408) added more tests for asynchronous inference for the below cases: - metrics - health checks - cancel tasks --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/task_processor.py | 18 +-- python/ray/serve/tests/conftest.py | 6 +- python/ray/serve/tests/test_task_processor.py | 147 +++++++++++++++++- 3 files changed, 156 insertions(+), 15 deletions(-) diff --git a/python/ray/serve/task_processor.py b/python/ray/serve/task_processor.py index 4d1d21ba6db6..cd66d83ff354 100644 --- a/python/ray/serve/task_processor.py +++ b/python/ray/serve/task_processor.py @@ -180,15 +180,12 @@ def shutdown(self): pass @abstractmethod - def cancel_task_sync(self, task_id: str) -> bool: + def cancel_task_sync(self, task_id: str): """ Cancel a task synchronously. Args: task_id: Unique identifier of the task to cancel. - - Returns: - bool: True if cancellation was requested successfully. """ pass @@ -265,16 +262,13 @@ async def get_task_status_async(self, task_id: str) -> TaskResult: "Subclass must implement get_task_status_async function" ) - async def cancel_task_async(self, task_id: str) -> bool: + async def cancel_task_async(self, task_id: str): """ Cancel a task. Args: task_id: Unique identifier of the task to cancel. - Returns: - bool: True if cancellation was requested successfully. - Raises: NotImplementedError: If async task cancellation is not supported by this adapter. """ @@ -505,8 +499,12 @@ def shutdown(self): self._app.control.shutdown() logger.info("Celery worker shutdown complete...") - def cancel_task_sync(self, task_id) -> bool: - return self._app.AsyncResult(task_id).cancel() + def cancel_task_sync(self, task_id): + """ + Cancels a task synchronously. Only supported for Redis and RabbitMQ brokers by Celery. + More details can be found here: https://docs.celeryq.dev/en/stable/userguide/workers.html#revoke-revoking-tasks + """ + self._app.control.revoke(task_id) def get_metrics_sync(self) -> Dict[str, Any]: """ diff --git a/python/ray/serve/tests/conftest.py b/python/ray/serve/tests/conftest.py index 5de04057db06..69e7392e4b91 100644 --- a/python/ray/serve/tests/conftest.py +++ b/python/ray/serve/tests/conftest.py @@ -23,7 +23,11 @@ ) from ray.serve.config import HTTPOptions, gRPCOptions from ray.serve.context import _get_global_client -from ray.tests.conftest import propagate_logs, pytest_runtest_makereport # noqa +from ray.tests.conftest import ( # noqa + external_redis, + propagate_logs, + pytest_runtest_makereport, +) # https://tools.ietf.org/html/rfc6335#section-6 MIN_DYNAMIC_PORT = 49152 diff --git a/python/ray/serve/tests/test_task_processor.py b/python/ray/serve/tests/test_task_processor.py index d194f3dca6cc..b8892992712e 100644 --- a/python/ray/serve/tests/test_task_processor.py +++ b/python/ray/serve/tests/test_task_processor.py @@ -1,4 +1,5 @@ import json +import os import sys import tempfile from collections import defaultdict @@ -15,6 +16,7 @@ task_consumer, task_handler, ) +from ray.tests.conftest import external_redis # noqa: F401 @ray.remote @@ -76,13 +78,13 @@ def transport_options(temp_queue_directory): return { # Incoming message queue - where new task messages are written when sent to broker - "data_folder_in": queue_path, + "data_folder_in": str(queue_path), # Outgoing message storage - where task results and responses are written after completion - "data_folder_out": queue_path, + "data_folder_out": str(queue_path), # Processed message archive - where messages are moved after successful processing - "data_folder_processed": queue_path, + "data_folder_processed": str(queue_path), # Control message storage - where Celery management and control commands are stored - "control_folder": control_path, + "control_folder": str(control_path), } @@ -336,6 +338,143 @@ async def process_request(self, data): self.task_received = True self.data_received = data + def test_task_consumer_metrics( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that task processor metrics are collected and exposed correctly.""" + processor_config = create_processor_config() + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + def __init__(self): + self.task_received = False + + @task_handler(name="process_request") + def process_request(self, data): + self.task_received = True + + def get_task_received(self) -> bool: + return self.task_received + + handle = serve.run(ServeTaskConsumer.bind()) + send_request_to_queue.remote(processor_config, "test_data_1") + + def assert_task_received(): + return handle.get_task_received.remote().result() + + wait_for_condition(assert_task_received, timeout=20) + + adapter_instance = instantiate_adapter_from_config( + task_processor_config=processor_config + ) + metrics = adapter_instance.get_metrics_sync() + + assert len(metrics) == 1 + worker_name = next(iter(metrics)) + worker_stats = metrics[worker_name] + + # Check that the total number of processed tasks is correct. + assert worker_stats["pool"]["threads"] == 1 + assert worker_stats["pool"]["max-concurrency"] == 1 + assert worker_stats["total"]["process_request"] == 1 + assert worker_stats["broker"]["transport"] == "filesystem" + + def test_task_consumer_health_check( + self, temp_queue_directory, serve_instance, create_processor_config + ): + """Test that the health check for the task processor works correctly.""" + processor_config = create_processor_config() + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class ServeTaskConsumer: + pass + + serve.run(ServeTaskConsumer.bind()) + + adapter_instance = instantiate_adapter_from_config( + task_processor_config=processor_config + ) + + def check_health(): + health_status = adapter_instance.health_check_sync() + return len(health_status) > 0 + + # Wait for the worker to be ready + wait_for_condition(check_health, timeout=20) + + health_status = adapter_instance.health_check_sync() + assert len(health_status) == 1 + + worker_reply = health_status[0] + assert len(worker_reply) == 1 + worker_name = next(iter(worker_reply)) + assert worker_reply[worker_name] == {"ok": "pong"} + + def test_task_processor_with_cancel_tasks( + self, external_redis, serve_instance # noqa: F811 + ): + """Test the cancel task functionality with celery broker.""" + redis_address = os.environ.get("RAY_REDIS_ADDRESS") + + processor_config = TaskProcessorConfig( + queue_name="my_app_queue", + adapter_config=CeleryAdapterConfig( + broker_url=f"redis://{redis_address}/0", + backend_url=f"redis://{redis_address}/1", + worker_concurrency=1, + ), + ) + + signal = SignalActor.remote() + + @serve.deployment + @task_consumer(task_processor_config=processor_config) + class MyTaskConsumer: + def __init__(self, signal_actor): + self._signal = signal_actor + self.message_received = [] + + @task_handler(name="process") + def process(self, data): + ray.get(self._signal.wait.remote()) + self.message_received.append(data) + + def get_message_received(self): + return self.message_received + + handle = serve.run(MyTaskConsumer.bind(signal), name="app_v1") + + task_ids = [] + for i in range(2): + task_id_ref = send_request_to_queue.remote( + processor_config, f"test_data_{i}", task_name="process" + ) + task_ids.append(ray.get(task_id_ref)) + + wait_for_condition( + lambda: ray.get(signal.cur_num_waiters.remote()) == 1, timeout=10 + ) + + adapter_instance = instantiate_adapter_from_config( + task_processor_config=processor_config + ) + adapter_instance.cancel_task_sync(task_ids[1]) + + ray.get(signal.send.remote()) + + def check_revoked(): + status = adapter_instance.get_task_status_sync(task_ids[1]) + return status.status == "REVOKED" + + wait_for_condition(check_revoked, timeout=20) + + assert "test_data_0" in handle.get_message_received.remote().result() + assert "test_data_1" not in handle.get_message_received.remote().result() + + serve.delete("app_v1") + @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") class TestTaskConsumerWithDLQsConfiguration: From 9325a58696322091d377ec99fe272c907c8d4b03 Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Mon, 15 Sep 2025 09:42:44 -0700 Subject: [PATCH 1209/1566] [SERVE] Proxy Actor Interface (#56288) Introduce proxy actor interface. Signed-off-by: Omkar Kulkarni Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/proxy.py | 118 +++++++++++++++++++++++++++-- 1 file changed, 113 insertions(+), 5 deletions(-) diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 767c16ba6d50..66ad787a2146 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -1016,8 +1016,113 @@ async def send_request_to_replica( yield status +class ProxyActorInterface(ABC): + """Abstract interface for proxy actors in Ray Serve. + + This interface defines the contract that all proxy actor implementations must follow, + allowing for different proxy backends (Ray HTTP/gRPC proxies, HAProxy, etc.). + """ + + def __init__( + self, + *, + node_id: NodeId, + node_ip_address: str, + logging_config: LoggingConfig, + ): + """Initialize the proxy actor. + + Args: + node_id: ID of the node this proxy is running on + node_ip_address: IP address of the node + logging_config: Logging configuration + """ + self._node_id = node_id + self._node_ip_address = node_ip_address + self._logging_config = logging_config + + @abstractmethod + async def ready(self) -> str: + """Blocks until the proxy is ready to serve requests. + + Returns: + JSON-serialized metadata containing proxy information (worker ID, log file path, etc.) + """ + pass + + @abstractmethod + async def update_draining( + self, draining: bool, _after: Optional[Any] = None + ) -> None: + """Update the draining status of the proxy. + + Args: + draining: Whether the proxy should be draining + _after: Optional ObjectRef for scheduling dependency + """ + pass + + @abstractmethod + async def is_drained(self, _after: Optional[Any] = None) -> bool: + """Check whether the proxy is drained. + + Args: + _after: Optional ObjectRef for scheduling dependency + + Returns: + True if the proxy is drained, False otherwise + """ + pass + + @abstractmethod + async def check_health(self) -> None: + """Check the health of the proxy. + + Raises: + Exception: if the proxy is unhealthy + """ + pass + + @abstractmethod + def pong(self) -> str: + """Respond to ping from replicas. + + Returns: + A response string + """ + pass + + @abstractmethod + async def receive_asgi_messages(self, request_metadata: RequestMetadata) -> bytes: + """Handle ASGI messages for HTTP requests. + + Args: + request_metadata: Metadata about the request + + Returns: + Serialized ASGI messages + """ + pass + + # Testing and debugging methods + @abstractmethod + def _get_http_options(self) -> HTTPOptions: + """Get HTTP options used by the proxy.""" + pass + + @abstractmethod + def _get_logging_config(self) -> Optional[str]: + """Get the file path for the logger (for testing purposes).""" + pass + + @abstractmethod + def _dump_ingress_replicas_for_testing(self, route: str) -> Set: + """Get replicas for a route (for testing).""" + pass + + @ray.remote(num_cpus=0) -class ProxyActor: +class ProxyActor(ProxyActorInterface): def __init__( self, http_options: HTTPOptions, @@ -1028,12 +1133,15 @@ def __init__( logging_config: LoggingConfig, long_poll_client: Optional[LongPollClient] = None, ): # noqa: F821 - self._node_id = node_id - self._node_ip_address = node_ip_address - self._http_options = configure_http_middlewares(http_options) + super().__init__( + node_id=node_id, + node_ip_address=node_ip_address, + logging_config=logging_config, + ) + self._grpc_options = grpc_options + self._http_options = configure_http_middlewares(http_options) grpc_enabled = is_grpc_enabled(self._grpc_options) - event_loop = get_or_create_event_loop() self.long_poll_client = long_poll_client or LongPollClient( ray.get_actor(SERVE_CONTROLLER_NAME, namespace=SERVE_NAMESPACE), From 74b30acc377d4b3fd689a0b51e687e8c68f9a72a Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Mon, 15 Sep 2025 10:23:54 -0700 Subject: [PATCH 1210/1566] stop ray instance in serve test logging (#56480) Should fix the windows test, i am 90% sure. I could not manually test this because I am unsuccessfully in running test_logging on windows using this runbook https://www.notion.so/anyscale-hq/How-to-debug-Windows-tests-20e027c809cb803b92c8c796266b7852?source=copy_link. I am sure there is a way but not investing more time into this. --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/test_logging.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index 096bbe610c96..c1c1b612f338 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -1369,7 +1369,7 @@ def test_configure_default_serve_logger_with_stderr_redirect( ], indirect=True, ) -def test_request_id_uniqueness_with_buffering(ray_instance): +def test_request_id_uniqueness_with_buffering(serve_and_ray_shutdown, ray_instance): """Test request IDs are unique when buffering is enabled.""" logger = logging.getLogger("ray.serve") From e8019d57f80c8c0c1833a52c5a002208a2113184 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 15 Sep 2025 10:47:49 -0700 Subject: [PATCH 1211/1566] [core][ci] Don't build cpp api in ci test container (#56517) The cpp api is only tested on`:ray: core: cpp worker tests` , but we still build it on most ci steps. Ex. this commit was only broken for the cpp api and nothing else, but almost every single ci step broke. https://buildkite.com/ray-project/premerge/builds/48767 This sets `RAY_DISABLE_EXTRA_CPP` in the test containers so the cpp api doesn't need to get rebuilt on every test step. This should make ci a bit faster when making core cpp changes that cause the cpp api to rebuild. It'll still get built when we build the wheels so any compilation errors for the cpp api will get verified there. Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- ci/ray_ci/tests.env.Dockerfile | 1 + ci/ray_ci/windows/tests.env.Dockerfile | 1 + 2 files changed, 2 insertions(+) diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 7ae17986e618..fb009afa59d4 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -9,6 +9,7 @@ ARG RAY_INSTALL_MASK= ENV CC=clang ENV CXX=clang++-12 +ENV RAY_DISABLE_EXTRA_CPP=1 RUN mkdir /rayci WORKDIR /rayci diff --git a/ci/ray_ci/windows/tests.env.Dockerfile b/ci/ray_ci/windows/tests.env.Dockerfile index 0e0cd9eea4ab..cce117b1fe7e 100644 --- a/ci/ray_ci/windows/tests.env.Dockerfile +++ b/ci/ray_ci/windows/tests.env.Dockerfile @@ -12,6 +12,7 @@ ENV PYTHON=3.9 ENV RAY_USE_RANDOM_PORTS=1 ENV RAY_DEFAULT_BUILD=1 ENV RAY_INSTALL_JAVA=0 +ENV RAY_DISABLE_EXTRA_CPP=1 ENV RAY_ENABLE_WINDOWS_OR_OSX_CLUSTER=1 ENV LC_ALL=en_US.UTF-8 ENV LANG=en_US.UTF-8 From 0426870052e6c91a341718bc5f0fb32bae880aa8 Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Tue, 16 Sep 2025 02:54:21 +0900 Subject: [PATCH 1212/1566] [Data] Remove redundant check for initial size of actor pool (#56440) ## Why are these changes needed? The check is redundant here, since the `initial_size` can't be smaller than `min_size` (which must be bigger that 1) ## Related issue number https://github.com/ray-project/ray/pull/56370#discussion_r2337538808 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/compute.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/python/ray/data/_internal/compute.py b/python/ray/data/_internal/compute.py index 6188dab3f899..0644023bb58a 100644 --- a/python/ray/data/_internal/compute.py +++ b/python/ray/data/_internal/compute.py @@ -125,8 +125,6 @@ def __init__( # Validate and set initial_size if initial_size is not None: - if initial_size < 1: - raise ValueError("initial_size must be >= 1", initial_size) if initial_size < self.min_size: raise ValueError( f"initial_size ({initial_size}) must be >= min_size ({self.min_size})" From d94147547e8abb44eb0efe5f7b116036e84cc0b3 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 15 Sep 2025 13:11:39 -0500 Subject: [PATCH 1213/1566] [core] Move `gcs_client` out of `gcs` directory (#56515) Making `gcs` contain only the GCS component's files. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 4 +-- cpp/BUILD.bazel | 2 +- cpp/src/ray/util/process_helper.h | 2 +- python/ray/includes/common.pxd | 10 +++---- python/ray/includes/gcs_client.pxi | 2 +- python/ray/includes/global_state_accessor.pxd | 2 +- src/mock/ray/core_worker/core_worker.h | 2 +- src/mock/ray/{gcs => }/gcs_client/accessor.h | 2 +- .../ray/{gcs => }/gcs_client/gcs_client.h | 4 +-- src/ray/core_worker/BUILD.bazel | 10 +++---- src/ray/core_worker/actor_creator.h | 2 +- src/ray/core_worker/actor_manager.h | 2 +- src/ray/core_worker/core_worker.cc | 2 +- src/ray/core_worker/core_worker.h | 2 +- src/ray/core_worker/core_worker_options.h | 2 +- src/ray/core_worker/core_worker_process.cc | 2 +- src/ray/core_worker/lib/java/BUILD.bazel | 2 +- .../io_ray_runtime_gcs_GlobalStateAccessor.cc | 2 +- ...io_ray_runtime_object_NativeObjectStore.cc | 2 +- src/ray/core_worker/task_event_buffer.h | 2 +- src/ray/core_worker/task_manager.h | 2 +- .../tests/direct_actor_transport_test.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 12 ++++----- .../core_worker/tests/actor_creator_test.cc | 7 +++-- .../core_worker/tests/actor_manager_test.cc | 4 +-- src/ray/core_worker/tests/core_worker_test.cc | 2 +- .../task_event_buffer_export_event_test.cc | 2 +- .../tests/task_event_buffer_test.cc | 2 +- .../core_worker/tests/task_manager_test.cc | 2 +- .../gcs_server/tests/gcs_server_rpc_test.cc | 2 +- src/ray/{gcs => }/gcs_client/BUILD.bazel | 26 ++++++++++++++++--- src/ray/{gcs => }/gcs_client/accessor.cc | 4 +-- src/ray/{gcs => }/gcs_client/accessor.h | 0 src/ray/{gcs => }/gcs_client/gcs_client.cc | 4 +-- src/ray/{gcs => }/gcs_client/gcs_client.h | 4 +-- .../gcs_client/global_state_accessor.cc | 2 +- .../gcs_client/global_state_accessor.h | 2 +- .../{gcs => }/gcs_client/python_callbacks.h | 0 .../rpc_client.h} | 0 .../{gcs => }/gcs_client/tests/BUILD.bazel | 10 +++---- .../gcs_client/tests/accessor_test.cc | 2 +- .../tests/gcs_client_reconnection_test.cc | 6 ++--- .../gcs_client/tests/gcs_client_test.cc | 6 ++--- .../tests/global_state_accessor_test.cc | 4 +-- src/ray/object_manager/BUILD.bazel | 4 +-- src/ray/object_manager/object_directory.h | 2 +- .../ownership_object_directory.h | 2 +- .../tests/object_manager_test.cc | 2 +- .../tests/ownership_object_directory_test.cc | 4 +-- src/ray/pubsub/BUILD.bazel | 2 +- src/ray/pubsub/python_gcs_subscriber.cc | 2 +- src/ray/raylet/BUILD.bazel | 10 +++---- src/ray/raylet/local_object_manager.h | 2 +- src/ray/raylet/main.cc | 2 +- src/ray/raylet/scheduling/tests/BUILD.bazel | 2 +- .../tests/cluster_lease_manager_test.cc | 2 +- .../tests/cluster_resource_scheduler_test.cc | 2 +- src/ray/raylet/tests/BUILD.bazel | 2 +- .../raylet/tests/local_lease_manager_test.cc | 2 +- .../raylet/tests/local_object_manager_test.cc | 4 +-- src/ray/raylet/tests/node_manager_test.cc | 2 +- .../placement_group_resource_manager_test.cc | 2 +- src/ray/raylet/tests/worker_pool_test.cc | 2 +- src/ray/raylet/worker_pool.h | 2 +- src/ray/rpc/BUILD.bazel | 21 ++------------- src/ray/rpc/raylet/raylet_client_pool.h | 2 +- src/ray/rpc/raylet/tests/BUILD.bazel | 2 +- src/ray/rpc/worker/core_worker_client_pool.h | 2 +- 68 files changed, 125 insertions(+), 123 deletions(-) rename src/mock/ray/{gcs => }/gcs_client/accessor.h (99%) rename src/mock/ray/{gcs => }/gcs_client/gcs_client.h (96%) rename src/ray/{gcs => }/gcs_client/BUILD.bazel (62%) rename src/ray/{gcs => }/gcs_client/accessor.cc (99%) rename src/ray/{gcs => }/gcs_client/accessor.h (100%) rename src/ray/{gcs => }/gcs_client/gcs_client.cc (99%) rename src/ray/{gcs => }/gcs_client/gcs_client.h (99%) rename src/ray/{gcs => }/gcs_client/global_state_accessor.cc (99%) rename src/ray/{gcs => }/gcs_client/global_state_accessor.h (99%) rename src/ray/{gcs => }/gcs_client/python_callbacks.h (100%) rename src/ray/{rpc/gcs/gcs_rpc_client.h => gcs_client/rpc_client.h} (100%) rename src/ray/{gcs => }/gcs_client/tests/BUILD.bazel (88%) rename src/ray/{gcs => }/gcs_client/tests/accessor_test.cc (98%) rename src/ray/{gcs => }/gcs_client/tests/gcs_client_reconnection_test.cc (99%) rename src/ray/{gcs => }/gcs_client/tests/gcs_client_test.cc (99%) rename src/ray/{gcs => }/gcs_client/tests/global_state_accessor_test.cc (99%) diff --git a/BUILD.bazel b/BUILD.bazel index c30d1b1f43ae..5337472727fe 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -246,10 +246,10 @@ pyx_library( "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs/gcs_client:gcs_python_callbacks", - "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", "//src/ray/gcs/store_client:redis_store_client", + "//src/ray/gcs_client:gcs_python_callbacks", + "//src/ray/gcs_client:global_state_accessor_lib", "//src/ray/protobuf:serialization_cc_proto", "//src/ray/pubsub:python_gcs_subscriber", "//src/ray/thirdparty/setproctitle", diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 9ab6348cac9b..9174d0683dbd 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -66,7 +66,7 @@ cc_library( "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_client:global_state_accessor_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:network_util", "//src/ray/util:process", diff --git a/cpp/src/ray/util/process_helper.h b/cpp/src/ray/util/process_helper.h index 084bbeda93a7..26dfc6ca108c 100644 --- a/cpp/src/ray/util/process_helper.h +++ b/cpp/src/ray/util/process_helper.h @@ -17,7 +17,7 @@ #include "../config_internal.h" #include "ray/core_worker/core_worker.h" -#include "ray/gcs/gcs_client/global_state_accessor.h" +#include "ray/gcs_client/global_state_accessor.h" #include "util.h" namespace ray { diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index 6493a100c47a..ec40d7c43f8c 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -391,7 +391,7 @@ cdef extern from "ray/core_worker/common.h" nogil: const CNodeID &GetSpilledNodeID() const const c_bool GetDidSpill() const -cdef extern from "ray/gcs/gcs_client/python_callbacks.h" namespace "ray::gcs": +cdef extern from "ray/gcs_client/python_callbacks.h" namespace "ray::gcs": cdef cppclass MultiItemPyCallback[T]: MultiItemPyCallback( object (*)(CRayStatus, c_vector[T]) nogil, @@ -410,7 +410,7 @@ cdef extern from "ray/gcs/gcs_client/python_callbacks.h" namespace "ray::gcs": void (object, object) nogil, object) nogil -cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: +cdef extern from "ray/gcs_client/accessor.h" nogil: cdef cppclass CActorInfoAccessor "ray::gcs::ActorInfoAccessor": void AsyncGetAllByFilter( const optional[CActorID] &actor_id, @@ -616,7 +616,7 @@ cdef extern from "ray/gcs/gcs_client/accessor.h" nogil: ) -cdef extern from "ray/gcs/gcs_client/gcs_client.h" nogil: +cdef extern from "ray/gcs_client/gcs_client.h" nogil: cdef enum CGrpcStatusCode "grpc::StatusCode": UNAVAILABLE "grpc::StatusCode::UNAVAILABLE", UNKNOWN "grpc::StatusCode::UNKNOWN", @@ -646,7 +646,7 @@ cdef extern from "ray/gcs/gcs_client/gcs_client.h" nogil: cdef CRayStatus ConnectOnSingletonIoContext(CGcsClient &gcs_client, int timeout_ms) -cdef extern from "ray/gcs/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: +cdef extern from "ray/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, double] PythonGetResourcesTotal( const CGcsNodeInfo& node_info) @@ -672,7 +672,7 @@ cdef extern from "ray/pubsub/python_gcs_subscriber.h" nogil: cdef extern from "ray/pubsub/python_gcs_subscriber.h" namespace "ray::pubsub" nogil: c_vector[c_string] PythonGetLogBatchLines(CLogBatch log_batch) -cdef extern from "ray/gcs/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: +cdef extern from "ray/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, c_string] PythonGetNodeLabels( const CGcsNodeInfo& node_info) diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index 177bf48fbba3..bc47457b179b 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -14,7 +14,7 @@ Binding of C++ ray::gcs::GcsClient. # # We need to best-effort import everything we need. # -# For how async API are implemented, see src/ray/gcs/gcs_client/python_callbacks.h +# For how async API are implemented, see src/ray/gcs_client/python_callbacks.h from asyncio import Future from typing import List, Sequence from libcpp.utility cimport move diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index 38a6703cf25f..1eb54aeb2025 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -24,7 +24,7 @@ from ray.includes.optional cimport ( optional ) -cdef extern from "ray/gcs/gcs_client/global_state_accessor.h" nogil: +cdef extern from "ray/gcs_client/global_state_accessor.h" nogil: cdef cppclass CGlobalStateAccessor "ray::gcs::GlobalStateAccessor": CGlobalStateAccessor(const CGcsClientOptions&) c_bool Connect() diff --git a/src/mock/ray/core_worker/core_worker.h b/src/mock/ray/core_worker/core_worker.h index 905ecceddec9..403d97de0db0 100644 --- a/src/mock/ray/core_worker/core_worker.h +++ b/src/mock/ray/core_worker/core_worker.h @@ -13,7 +13,7 @@ // limitations under the License. #pragma once #include "gmock/gmock.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" namespace ray::core { diff --git a/src/mock/ray/gcs/gcs_client/accessor.h b/src/mock/ray/gcs_client/accessor.h similarity index 99% rename from src/mock/ray/gcs/gcs_client/accessor.h rename to src/mock/ray/gcs_client/accessor.h index 344729b2065b..ce66405ed34a 100644 --- a/src/mock/ray/gcs/gcs_client/accessor.h +++ b/src/mock/ray/gcs_client/accessor.h @@ -13,7 +13,7 @@ // limitations under the License. #pragma once #include "gmock/gmock.h" -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_client/gcs_client.h b/src/mock/ray/gcs_client/gcs_client.h similarity index 96% rename from src/mock/ray/gcs/gcs_client/gcs_client.h rename to src/mock/ray/gcs_client/gcs_client.h index 8c4d15189033..1ad7d85b3ffc 100644 --- a/src/mock/ray/gcs/gcs_client/gcs_client.h +++ b/src/mock/ray/gcs_client/gcs_client.h @@ -14,8 +14,8 @@ #pragma once -#include "mock/ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/accessor.h" +#include "ray/gcs_client/gcs_client.h" namespace ray { namespace gcs { diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index f62d6bed3ace..429655af4fe1 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -38,7 +38,7 @@ ray_cc_library( "//src/ray/common/cgroup:constants", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/ipc:raylet_ipc_client", "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/pubsub:publisher", @@ -105,7 +105,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/util:process", ], ) @@ -159,7 +159,7 @@ ray_cc_library( hdrs = ["actor_creator.h"], visibility = [":__subpackages__"], deps = [ - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", ], ) @@ -186,7 +186,7 @@ ray_cc_library( "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", "//src/ray/core_worker/task_submission:actor_task_submitter", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/protobuf:core_worker_cc_proto", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest_prod", @@ -236,7 +236,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/protobuf:export_task_event_cc_proto", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/rpc:event_aggregator_client", diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index 8673dc57154e..e34751f1f116 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -18,7 +18,7 @@ #include #include -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/actor_manager.h b/src/ray/core_worker/actor_manager.h index 3d91ca155dbc..ee9eaf798563 100644 --- a/src/ray/core_worker/actor_manager.h +++ b/src/ray/core_worker/actor_manager.h @@ -26,7 +26,7 @@ #include "ray/core_worker/actor_handle.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 62ef51ae0bdc..c9b93f4e0d22 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -42,7 +42,7 @@ #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/task/task_util.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/container_util.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 4091ec28609b..1f1ccda1d196 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -48,7 +48,7 @@ #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_execution/task_receiver.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 3f9b72f48b7d..fc59a55495e5 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -26,7 +26,7 @@ #include "ray/common/status.h" #include "ray/common/task/task_common.h" #include "ray/core_worker/common.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/util/process.h" namespace ray { diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index ab7db114366c..9513bbd6af05 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -33,7 +33,7 @@ #include "ray/common/task/task_util.h" #include "ray/core_worker/core_worker.h" #include "ray/core_worker/core_worker_rpc_proxy.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/ipc/raylet_ipc_client.h" #include "ray/object_manager/plasma/client.h" #include "ray/rpc/raylet/raylet_client.h" diff --git a/src/ray/core_worker/lib/java/BUILD.bazel b/src/ray/core_worker/lib/java/BUILD.bazel index 4e35f82a0490..470e5a775838 100644 --- a/src/ray/core_worker/lib/java/BUILD.bazel +++ b/src/ray/core_worker/lib/java/BUILD.bazel @@ -24,7 +24,7 @@ ray_cc_binary( "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_client:global_state_accessor_lib", "//src/ray/stats:stats_lib", "//src/ray/util:time", "@bazel_tools//tools/jdk:jni", diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc index 258263f176b1..d1b5f56c4699 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc @@ -22,7 +22,7 @@ #include "jni_utils.h" // NOLINT(build/include_subdir) #include "ray/common/ray_config.h" #include "ray/core_worker/common.h" -#include "ray/gcs/gcs_client/global_state_accessor.h" +#include "ray/gcs_client/global_state_accessor.h" #ifdef __cplusplus extern "C" { diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc index 2c0f5548ec0a..bb942786ab1b 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc @@ -25,7 +25,7 @@ #include "ray/common/id.h" #include "ray/core_worker/common.h" #include "ray/core_worker/core_worker.h" -#include "ray/gcs/gcs_client/global_state_accessor.h" +#include "ray/gcs_client/global_state_accessor.h" Status PutSerializedObject(JNIEnv *env, jobject obj, diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 39030c3a7c0f..2e9ce16fc4dc 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -29,7 +29,7 @@ #include "ray/common/id.h" #include "ray/common/protobuf_utils.h" #include "ray/common/task/task_spec.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 31f010bca283..43f6fce25ea9 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -30,7 +30,7 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_manager_interface.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/observability/metric_interface.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" diff --git a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc index a2e58b392145..a4d50e583a61 100644 --- a/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc +++ b/src/ray/core_worker/task_submission/tests/direct_actor_transport_test.cc @@ -19,7 +19,7 @@ #include "mock/ray/core_worker/memory_store.h" #include "mock/ray/core_worker/reference_count.h" #include "mock/ray/core_worker/task_manager_interface.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/core_worker/actor_creator.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 6e8df62c414f..c4366aa3297c 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -96,7 +96,7 @@ ray_cc_test( "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_event_buffer", "//src/ray/core_worker:task_manager", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/observability:fake_metric", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -113,7 +113,7 @@ ray_cc_test( "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -135,7 +135,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/types:optional", @@ -153,7 +153,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_creator", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest", @@ -171,7 +171,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/core_worker:common", "//src/ray/core_worker:generator_waiter", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -186,7 +186,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_manager", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/actor_creator_test.cc b/src/ray/core_worker/tests/actor_creator_test.cc index fc9996cd07cf..10d3b3574c3e 100644 --- a/src/ray/core_worker/tests/actor_creator_test.cc +++ b/src/ray/core_worker/tests/actor_creator_test.cc @@ -12,17 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. -// clang-format off +#include "ray/core_worker/actor_creator.h" + #include #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "ray/core_worker/actor_creator.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/test_utils.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" -// clang-format on namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/actor_manager_test.cc b/src/ray/core_worker/tests/actor_manager_test.cc index 6acc46473a0f..1e2c644064ff 100644 --- a/src/ray/core_worker/tests/actor_manager_test.cc +++ b/src/ray/core_worker/tests/actor_manager_test.cc @@ -22,8 +22,8 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/reference_count.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/accessor.h" +#include "ray/gcs_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index d0837518bfa9..a972d19a47a5 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -30,7 +30,7 @@ #include "fakes/ray/pubsub/publisher.h" #include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/object_manager/plasma/client.h" #include "ray/common/buffer.h" #include "ray/common/ray_config.h" diff --git a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc index 5162892ae292..cf2e6e7203f2 100644 --- a/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_export_event_test.cc @@ -24,7 +24,7 @@ #include "absl/types/optional.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/test_utils.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index 6169b36b0176..58edefd13604 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -31,7 +31,7 @@ #include "absl/types/optional.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index 63215f0d1eb6..b68c1acbe6c6 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -23,7 +23,7 @@ #include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/task/task_spec.h" #include "ray/common/task/task_util.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc index f9b208f0e33f..7cdc021f49a0 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc @@ -21,7 +21,7 @@ #include "ray/common/ray_config.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/gcs_client/rpc_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_client/BUILD.bazel b/src/ray/gcs_client/BUILD.bazel similarity index 62% rename from src/ray/gcs/gcs_client/BUILD.bazel rename to src/ray/gcs_client/BUILD.bazel index ce1b1e861ff9..4b416ebb7026 100644 --- a/src/ray/gcs/gcs_client/BUILD.bazel +++ b/src/ray/gcs_client/BUILD.bazel @@ -1,7 +1,7 @@ load("//bazel:ray.bzl", "ray_cc_library") ray_cc_library( - name = "gcs_client_lib", + name = "gcs_client", srcs = [ "accessor.cc", "gcs_client.cc", @@ -11,6 +11,7 @@ ray_cc_library( "gcs_client.h", ], deps = [ + ":rpc_client", "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:placement_group", @@ -19,7 +20,6 @@ ray_cc_library( "//src/ray/protobuf:usage_cc_proto", "//src/ray/pubsub:gcs_subscriber", "//src/ray/pubsub:subscriber", - "//src/ray/rpc:gcs_client", "//src/ray/util:container_util", "//src/ray/util:network_util", "//src/ray/util:sequencer", @@ -31,7 +31,7 @@ ray_cc_library( srcs = ["global_state_accessor.cc"], hdrs = ["global_state_accessor.h"], deps = [ - ":gcs_client_lib", + ":gcs_client", "//src/ray/util:time", ], ) @@ -42,3 +42,23 @@ ray_cc_library( "python_callbacks.h", ], ) + +ray_cc_library( + name = "rpc_client", + hdrs = [ + "rpc_client.h", + ], + visibility = [ + ":__pkg__", + "//src/ray/pubsub:__pkg__", + ], + deps = [ + "//src/ray/common:ray_config", + "//src/ray/protobuf:autoscaler_cc_grpc", + "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/rpc:client_call", + "//src/ray/rpc:retryable_grpc_client", + "//src/ray/util:network_util", + "@com_google_absl//absl/container:btree", + ], +) diff --git a/src/ray/gcs/gcs_client/accessor.cc b/src/ray/gcs_client/accessor.cc similarity index 99% rename from src/ray/gcs/gcs_client/accessor.cc rename to src/ray/gcs_client/accessor.cc index e2a3fbf39387..e035c2002e0c 100644 --- a/src/ray/gcs/gcs_client/accessor.cc +++ b/src/ray/gcs_client/accessor.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" #include #include @@ -21,7 +21,7 @@ #include #include -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/util/container_util.h" namespace ray { diff --git a/src/ray/gcs/gcs_client/accessor.h b/src/ray/gcs_client/accessor.h similarity index 100% rename from src/ray/gcs/gcs_client/accessor.h rename to src/ray/gcs_client/accessor.h diff --git a/src/ray/gcs/gcs_client/gcs_client.cc b/src/ray/gcs_client/gcs_client.cc similarity index 99% rename from src/ray/gcs/gcs_client/gcs_client.cc rename to src/ray/gcs_client/gcs_client.cc index f3974a75e5d9..7d1d9e9bf6f3 100644 --- a/src/ray/gcs/gcs_client/gcs_client.cc +++ b/src/ray/gcs_client/gcs_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include #include @@ -24,7 +24,7 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/ray_config.h" -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" #include "ray/pubsub/subscriber.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs/gcs_client/gcs_client.h b/src/ray/gcs_client/gcs_client.h similarity index 99% rename from src/ray/gcs/gcs_client/gcs_client.h rename to src/ray/gcs_client/gcs_client.h index 913f41415908..b13eb5292e5d 100644 --- a/src/ray/gcs/gcs_client/gcs_client.h +++ b/src/ray/gcs_client/gcs_client.h @@ -28,9 +28,9 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" +#include "ray/gcs_client/rpc_client.h" #include "ray/pubsub/gcs_subscriber.h" -#include "ray/rpc/gcs/gcs_rpc_client.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" diff --git a/src/ray/gcs/gcs_client/global_state_accessor.cc b/src/ray/gcs_client/global_state_accessor.cc similarity index 99% rename from src/ray/gcs/gcs_client/global_state_accessor.cc rename to src/ray/gcs_client/global_state_accessor.cc index 89b3582150c1..4e80d9496e5e 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs_client/global_state_accessor.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/global_state_accessor.h" +#include "ray/gcs_client/global_state_accessor.h" #include #include diff --git a/src/ray/gcs/gcs_client/global_state_accessor.h b/src/ray/gcs_client/global_state_accessor.h similarity index 99% rename from src/ray/gcs/gcs_client/global_state_accessor.h rename to src/ray/gcs_client/global_state_accessor.h index 7c2266a53b15..c525ab7c5d2c 100644 --- a/src/ray/gcs/gcs_client/global_state_accessor.h +++ b/src/ray/gcs_client/global_state_accessor.h @@ -23,7 +23,7 @@ #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_client/python_callbacks.h b/src/ray/gcs_client/python_callbacks.h similarity index 100% rename from src/ray/gcs/gcs_client/python_callbacks.h rename to src/ray/gcs_client/python_callbacks.h diff --git a/src/ray/rpc/gcs/gcs_rpc_client.h b/src/ray/gcs_client/rpc_client.h similarity index 100% rename from src/ray/rpc/gcs/gcs_rpc_client.h rename to src/ray/gcs_client/rpc_client.h diff --git a/src/ray/gcs/gcs_client/tests/BUILD.bazel b/src/ray/gcs_client/tests/BUILD.bazel similarity index 88% rename from src/ray/gcs/gcs_client/tests/BUILD.bazel rename to src/ray/gcs_client/tests/BUILD.bazel index d94a8b143f23..c0b12afa33b5 100644 --- a/src/ray/gcs/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs_client/tests/BUILD.bazel @@ -9,7 +9,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "@com_google_googletest//:gtest_main", ], ) @@ -31,9 +31,9 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_client:gcs_client_lib", - "//src/ray/gcs/gcs_client:global_state_accessor_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs_client", + "//src/ray/gcs_client:global_state_accessor_lib", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -61,8 +61,8 @@ ray_cc_test( ], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs_client", "//src/ray/util:network_util", "//src/ray/util:raii", "//src/ray/util:time", @@ -89,8 +89,8 @@ ray_cc_test( ], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_client:gcs_client_lib", "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs_client", "//src/ray/util:network_util", "//src/ray/util:path_utils", "//src/ray/util:raii", diff --git a/src/ray/gcs/gcs_client/tests/accessor_test.cc b/src/ray/gcs_client/tests/accessor_test.cc similarity index 98% rename from src/ray/gcs/gcs_client/tests/accessor_test.cc rename to src/ray/gcs_client/tests/accessor_test.cc index ff2c8f78e5c5..b8c1d19c4108 100644 --- a/src/ray/gcs/gcs_client/tests/accessor_test.cc +++ b/src/ray/gcs_client/tests/accessor_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" #include "gtest/gtest.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc rename to src/ray/gcs_client/tests/gcs_client_reconnection_test.cc index 1167df2f0c53..11803e70019a 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc @@ -23,10 +23,10 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/gcs_client/gcs_client.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/gcs_client/accessor.h" +#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_client/rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" diff --git a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs_client/tests/gcs_client_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/tests/gcs_client_test.cc rename to src/ray/gcs_client/tests/gcs_client_test.cc index 12fde5c25d50..e30edd401536 100644 --- a/src/ray/gcs/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include #include @@ -23,9 +23,9 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_client/accessor.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/gcs_client/accessor.h" +#include "ray/gcs_client/rpc_client.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" diff --git a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs_client/tests/global_state_accessor_test.cc similarity index 99% rename from src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc rename to src/ray/gcs_client/tests/global_state_accessor_test.cc index baa880a625a9..eb9b3b32b16f 100644 --- a/src/ray/gcs/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs_client/tests/global_state_accessor_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_client/global_state_accessor.h" +#include "ray/gcs_client/global_state_accessor.h" #include #include @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server/gcs_server.h" -#include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/gcs_client/rpc_client.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index ebe575525e53..ab2afb3a2679 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -66,7 +66,7 @@ ray_cc_library( ":object_directory", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/pubsub:subscriber_interface", "//src/ray/rpc:core_worker_client", "@com_google_absl//absl/container:flat_hash_map", @@ -81,7 +81,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", ], ) diff --git a/src/ray/object_manager/object_directory.h b/src/ray/object_manager/object_directory.h index 4eb636ec5e06..fa9130111ea0 100644 --- a/src/ray/object_manager/object_directory.h +++ b/src/ray/object_manager/object_directory.h @@ -24,7 +24,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/object_manager/common.h" namespace ray { diff --git a/src/ray/object_manager/ownership_object_directory.h b/src/ray/object_manager/ownership_object_directory.h index a054a7ef68f5..c1da711673cc 100644 --- a/src/ray/object_manager/ownership_object_directory.h +++ b/src/ray/object_manager/ownership_object_directory.h @@ -23,7 +23,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/object_manager/object_directory.h" #include "ray/pubsub/subscriber.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc index 7010ee53a7b8..63049ff4023f 100644 --- a/src/ray/object_manager/tests/object_manager_test.cc +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -22,7 +22,7 @@ #include "fakes/ray/object_manager/plasma/fake_plasma_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_directory.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index 1d152f0aadba..ce1a7d54ceda 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -26,8 +26,8 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" -#include "ray/gcs/gcs_client/accessor.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/accessor.h" +#include "ray/gcs_client/gcs_client.h" namespace ray { diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 01552be0f3da..302f799ce1c3 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -82,9 +82,9 @@ ray_cc_library( hdrs = ["python_gcs_subscriber.h"], deps = [ "//src/ray/common:status", + "//src/ray/gcs_client:rpc_client", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:pubsub_cc_proto", - "//src/ray/rpc:gcs_client", "//src/ray/util:visibility", "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", diff --git a/src/ray/pubsub/python_gcs_subscriber.cc b/src/ray/pubsub/python_gcs_subscriber.cc index d50628b4713d..995fd35d457b 100644 --- a/src/ray/pubsub/python_gcs_subscriber.cc +++ b/src/ray/pubsub/python_gcs_subscriber.cc @@ -21,7 +21,7 @@ #include #include -#include "ray/rpc/gcs/gcs_rpc_client.h" +#include "ray/gcs_client/rpc_client.h" namespace ray { namespace pubsub { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index c617eb84fc47..5e70ab42e5f4 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -61,7 +61,7 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", @@ -112,7 +112,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/ipc:client_connection", "//src/ray/util:network_util", "//src/ray/util:time", @@ -163,7 +163,7 @@ ray_cc_library( ":worker_pool", "//src/ray/common:id", "//src/ray/common:ray_object", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/object_manager:object_directory", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:node_manager_cc_proto", @@ -231,7 +231,7 @@ ray_cc_library( "//src/ray/common:memory_monitor", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/object_manager", "//src/ray/object_manager:ownership_object_directory", "//src/ray/object_manager/plasma:plasma_client", @@ -286,7 +286,7 @@ ray_cc_binary( "//src/ray/common/cgroup2:cgroup_manager", "//src/ray/common/cgroup2:sysfs_cgroup_driver", "//src/ray/core_worker:metrics", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_lease_manager", "//src/ray/rpc:metrics_agent_client", diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index b04604eaa5b8..25597aeda64b 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -23,7 +23,7 @@ #include "ray/common/id.h" #include "ray/common/ray_object.h" -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" #include "ray/object_manager/common.h" #include "ray/object_manager/object_directory.h" #include "ray/pubsub/subscriber_interface.h" diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 5cb7cd35975a..c556a1219e81 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -33,7 +33,7 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/core_worker/metrics.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/raylet/local_object_manager.h" #include "ray/raylet/local_object_manager_interface.h" diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index 15e6820c6873..25483ef3b383 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -13,7 +13,7 @@ ray_cc_test( "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc index 40eeee6f1cf5..aabdab0c559e 100644 --- a/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_lease_manager_test.cc @@ -35,7 +35,7 @@ #include "ray/raylet/local_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/tests/util.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" // clang-format on namespace ray { diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc index 3237971f00de..9614fa22a737 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc @@ -28,7 +28,7 @@ #include "ray/common/test_utils.h" #include "ray/common/scheduling/resource_set.h" #include "ray/common/scheduling/scheduling_ids.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" // clang-format on using namespace std; // NOLINT diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 746660fbeca6..615dae910b46 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -50,7 +50,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/object_manager:ownership_object_directory", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/pubsub:subscriber", diff --git a/src/ray/raylet/tests/local_lease_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc index 4830b029c9ce..c2755dfe0659 100644 --- a/src/ray/raylet/tests/local_lease_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -25,7 +25,7 @@ #include #include -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_manager.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index 9fd1fe7e2490..294b25cd40e4 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -25,10 +25,10 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_client/accessor.h" +#include "ray/gcs_client/accessor.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet/tests/util.h" diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index b05d4c5ac0bd..bd3780619e26 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -26,7 +26,7 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "mock/ray/core_worker/experimental_mutable_object_provider.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/object_manager/object_directory.h" #include "mock/ray/object_manager/object_manager.h" #include "mock/ray/raylet/local_lease_manager.h" diff --git a/src/ray/raylet/tests/placement_group_resource_manager_test.cc b/src/ray/raylet/tests/placement_group_resource_manager_test.cc index f3cb445677fe..494e81941ee4 100644 --- a/src/ray/raylet/tests/placement_group_resource_manager_test.cc +++ b/src/ray/raylet/tests/placement_group_resource_manager_test.cc @@ -20,7 +20,7 @@ #include #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/bundle_spec.h" #include "ray/common/id.h" #include "ray/common/scheduling/placement_group_util.h" diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index a75cee7603ca..b5d24485a7bf 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -26,7 +26,7 @@ #include #include "absl/time/time.h" -#include "mock/ray/gcs/gcs_client/gcs_client.h" +#include "mock/ray/gcs_client/gcs_client.h" #include "nlohmann/json.hpp" #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 1d6e43a23497..f048ac2f6c29 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -36,7 +36,7 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/lease/lease.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/ipc/client_connection.h" #include "ray/raylet/runtime_env_agent_client.h" #include "ray/raylet/worker.h" diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 3b663ebf23f9..2a83b60815e8 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -137,23 +137,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "gcs_client", - hdrs = [ - "gcs/gcs_rpc_client.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":client_call", - ":retryable_grpc_client", - "//src/ray/common:ray_config", - "//src/ray/protobuf:autoscaler_cc_grpc", - "//src/ray/protobuf:gcs_service_cc_grpc", - "//src/ray/util:network_util", - "@com_google_absl//absl/container:btree", - ], -) - ray_cc_library( name = "raylet_client_interface", hdrs = [ @@ -176,7 +159,7 @@ ray_cc_library( visibility = ["//visibility:public"], deps = [ ":raylet_client_interface", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", ], ) @@ -210,7 +193,7 @@ ray_cc_library( ":raylet_client_pool", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/pubsub:subscriber", "//src/ray/util:logging", diff --git a/src/ray/rpc/raylet/raylet_client_pool.h b/src/ray/rpc/raylet/raylet_client_pool.h index d69edf0533ab..1ab520b0a519 100644 --- a/src/ray/rpc/raylet/raylet_client_pool.h +++ b/src/ray/rpc/raylet/raylet_client_pool.h @@ -23,7 +23,7 @@ #include "absl/strings/str_cat.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { diff --git a/src/ray/rpc/raylet/tests/BUILD.bazel b/src/ray/rpc/raylet/tests/BUILD.bazel index 280f5a3c3927..ac59bcc2f969 100644 --- a/src/ray/rpc/raylet/tests/BUILD.bazel +++ b/src/ray/rpc/raylet/tests/BUILD.bazel @@ -7,7 +7,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/fakes/ray/rpc/raylet:fake_raylet_client", - "//src/ray/gcs/gcs_client:gcs_client_lib", + "//src/ray/gcs_client", "//src/ray/rpc:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index b4008797fd26..4e33fd8ca2c4 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -23,7 +23,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_client/gcs_client.h" +#include "ray/gcs_client/gcs_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/rpc/worker/core_worker_client.h" From ee4231db19555a03a555aaeb97e9b413f958932b Mon Sep 17 00:00:00 2001 From: Alan Guo Date: Mon, 15 Sep 2025 11:23:33 -0700 Subject: [PATCH 1214/1566] Fix accidentally using task throughput instead of row throughput (#56503) ## Why are these changes needed? in #56428 I accidentally added the wrong throughput graph. This is row throughput I wanted. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alan Guo Signed-off-by: Douglas Strodtman --- .../modules/metrics/dashboards/data_dashboard_panels.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py index fd50e1ba2312..b9b9e14abc17 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @@ -831,7 +831,7 @@ stack=False, ) -OPERATOR_PANELS = [TASK_THROUGHPUT_BY_NODE_PANEL, ALL_RESOURCES_UTILIZATION_PANEL] +OPERATOR_PANELS = [ROWS_OUTPUT_PER_SECOND_PANEL, ALL_RESOURCES_UTILIZATION_PANEL] DATA_GRAFANA_ROWS = [ # Overview Row From 0d0f865a07c023245bd3a48f0bd6026d164df4f1 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Mon, 15 Sep 2025 11:33:14 -0700 Subject: [PATCH 1215/1566] use default gc frequency for proxy (#56511) ## script used for benchmarking ```python import time from typing import Optional from python.ray._common.test_utils import wait_for_condition from ray import serve from ray.util.state import list_actors import logging logger = logging.getLogger("ray.serve") @serve.deployment(max_ongoing_requests=1000) class MemoryLeakTest: async def __call__(self): logger.info("MemoryLeakTest") return "MemoryLeakTest" app = serve.run(MemoryLeakTest.bind(), logging_config={ "encoding": "JSON", }) def get_replica_pid() -> Optional[int]: all_current_actors = list_actors(filters=[("state", "=", "ALIVE")]) for actor in all_current_actors: if "MemoryLeakTest" in actor["name"]: return actor["pid"] return None wait_for_condition(get_replica_pid) print(get_replica_pid()) # track the memory of the replica in a loop in MB import psutil def track_memory(): pid = get_replica_pid() if pid is not None: process = psutil.Process(pid) return process.memory_info().rss / 1024 / 1024 return None while True: memory_mb = track_memory() print(f"\rMemory usage: {memory_mb:.2f} MB", end="", flush=True) time.sleep(.1) ``` simulating load using `ab -n 500 -c 1 http://127.0.0.1:8000/` used [memray](https://bloomberg.github.io/memray/tutorials/1.html) to profile the proxy process. Used instructions from [here](https://docs.ray.io/en/latest/ray-observability/user-guides/debug-apps/debug-memory.html#memory-profiling-ray-tasks-and-actors). ### On master image ### With fix image When we reduce the garbage collection (GC) frequency to every 10k allocations, proxy memory peaks at **1.3 GB** for my test workload. By contrast, under the default GC frequency (700 allocations), peak RSS memory is **700 MB**. The higher memory footprint with less frequent GC occurs because this workload involves large object transactions. With GC running only after 10k allocations, these large objects remain in RSS longer, inflating memory usage until a collection cycle is triggered. Importantly, I found no evidence of a memory leak under sustained load. With the fix, memory stabilizes at around **700 MB**, and even without the fix, usage plateaus at **1.3 GB** rather than growing unbounded. This feature was added in https://github.com/ray-project/ray/pull/49720 as a performance optimization. So we are taking slight hit in RPS for stable memory usage for larger payloads. --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/constants.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index dc99f63ef838..a670fdd53616 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -437,7 +437,7 @@ ) # Used for gc.set_threshold() when proxy GC optimizations are enabled. -RAY_SERVE_PROXY_GC_THRESHOLD = get_env_int("RAY_SERVE_PROXY_GC_THRESHOLD", 10_000) +RAY_SERVE_PROXY_GC_THRESHOLD = get_env_int("RAY_SERVE_PROXY_GC_THRESHOLD", 700) # Interval at which cached metrics will be exported using the Ray metric API. # Set to `0` to disable caching entirely. From 50cd0f3914bda8b938663f0bdfcae06f49970bcb Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 15 Sep 2025 11:48:47 -0700 Subject: [PATCH 1216/1566] [ci] updating raydepsets llm check (#56439) using `--check` feature to verify llm lock files are unchanged --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/dependencies.rayci.yml | 5 ++++- ci/raydepsets/rayllm.depsets.yaml | 2 +- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/.buildkite/dependencies.rayci.yml b/.buildkite/dependencies.rayci.yml index 2620a7ee399c..ab8217bfa214 100644 --- a/.buildkite/dependencies.rayci.yml +++ b/.buildkite/dependencies.rayci.yml @@ -23,7 +23,10 @@ steps: key: raydepsets_compile_llm_dependencies tags: always instance_type: small - command: ./ci/test_compile_llm_requirements.sh + commands: + - bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayllm.depsets.yaml --check + - chown -R 2000:100 /artifact-mount + - cp ./python/deplocks/llm/* /artifact-mount/ job_env: manylinux depends_on: manylinux diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index b6ed8fb51cec..ecb4fea950cf 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -26,6 +26,7 @@ depsets: # First, extract base test dependencies from the current compiled mono repo one. # This also expands to the indirect dependencies for this Python version & platform. - name: ray_base_test_depset_${PYTHON_VERSION}_${CUDA_CODE} + operation: compile <<: *common_settings requirements: - python/requirements.txt @@ -34,7 +35,6 @@ depsets: constraints: - /tmp/ray-deps/requirements_compiled.txt output: python/deplocks/llm/ray_test_${PYTHON_VERSION}_${CUDA_CODE}.lock - operation: compile pre_hooks: - ci/raydepsets/pre_hooks/remove-compiled-headers.sh From 7fe2cbe86511d8b2ae2432a4a6c6e6cf3f968672 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:59:04 -0700 Subject: [PATCH 1217/1566] [image] allow using explicit base type (#56545) this allows using `base-extra` or `base-extra-testdeps` or other base variations for building ray images. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/builder.py | 2 +- ci/ray_ci/ray_docker_container.py | 18 +++++++++++------- 2 files changed, 12 insertions(+), 8 deletions(-) diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index e6d02b251c73..7e74a4906b98 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -172,7 +172,7 @@ def build_anyscale( for p in platform: RayDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload=False - ).run(use_base_extra_testdeps=True) + ).run(base="base-extra-testdeps") AnyscaleDockerContainer( python_version, p, image_type, architecture, canonical_tag, upload ).run() diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index e58532b10692..b3f9e1758bb6 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -1,5 +1,5 @@ import os -from typing import List +from typing import List, Optional from ray_release.configs.global_config import get_global_config @@ -14,21 +14,25 @@ class RayDockerContainer(DockerContainer): Container for building and publishing ray docker images """ - def run(self, use_base_extra_testdeps: bool = False) -> None: + def run(self, base: Optional[str] = None) -> None: """ Build and publish ray docker images """ assert "RAYCI_BUILD_ID" in os.environ, "RAYCI_BUILD_ID not set" rayci_build_id = os.environ["RAYCI_BUILD_ID"] - base_name = "base" if not use_base_extra_testdeps else "base-extra-testdeps" + if base is None: + base = "base" + if self.architecture == DEFAULT_ARCHITECTURE: - suffix = base_name + suffix = base else: - suffix = f"{base_name}-{self.architecture}" + suffix = f"{base}-{self.architecture}" + + image_repo = self.image_type base_image = ( f"{_DOCKER_ECR_REPO}:{rayci_build_id}" - f"-{self.image_type}-py{self.python_version}-{self.platform}-{suffix}" + f"-{image_repo}-py{self.python_version}-{self.platform}-{suffix}" ) docker_pull(base_image) @@ -39,7 +43,7 @@ def run(self, use_base_extra_testdeps: bool = False) -> None: ) constraints_file = "requirements_compiled.txt" tag = self._get_canonical_tag() - ray_image = f"rayproject/{self.image_type}:{tag}" + ray_image = f"rayproject/{image_repo}:{tag}" pip_freeze = f"{self.image_type}:{tag}_pip-freeze.txt" cmds = [ From 65160024a76a835ad3eb2cf0896c702f39a59b7f Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 15 Sep 2025 17:27:12 -0500 Subject: [PATCH 1218/1566] [core] Remove `gcs_server` directory nesting (#56516) Non-GCS component files have been moved; no longer need the nesting. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- BUILD.bazel | 4 +- python/ray/includes/global_state_accessor.pxd | 2 +- .../gcs/{gcs_server => }/gcs_actor_manager.h | 2 +- .../{gcs_server => }/gcs_actor_scheduler.h | 2 +- .../gcs/{gcs_server => }/gcs_job_manager.h | 2 +- .../ray/gcs/{gcs_server => }/gcs_kv_manager.h | 2 +- .../gcs/{gcs_server => }/gcs_node_manager.h | 2 +- .../gcs_placement_group_manager.h | 2 +- .../gcs_placement_group_scheduler.h | 2 +- .../{gcs_server => }/gcs_resource_manager.h | 2 +- .../gcs/{gcs_server => }/gcs_task_manager.h | 2 +- .../gcs/{gcs_server => }/gcs_worker_manager.h | 2 +- src/mock/ray/gcs/pubsub/gcs_pub_sub.h | 30 ------- src/ray/gcs/{gcs_server => }/BUILD.bazel | 4 +- src/ray/gcs/{gcs_server => }/gcs_actor.cc | 2 +- src/ray/gcs/{gcs_server => }/gcs_actor.h | 0 .../gcs/{gcs_server => }/gcs_actor_manager.cc | 2 +- .../gcs/{gcs_server => }/gcs_actor_manager.h | 14 +-- .../{gcs_server => }/gcs_actor_scheduler.cc | 2 +- .../{gcs_server => }/gcs_actor_scheduler.h | 6 +- .../gcs_autoscaler_state_manager.cc | 2 +- .../gcs_autoscaler_state_manager.h | 14 +-- .../{gcs_server => }/gcs_function_manager.h | 2 +- .../gcs_health_check_manager.cc | 2 +- .../gcs_health_check_manager.h | 0 src/ray/gcs/{gcs_server => }/gcs_init_data.cc | 2 +- src/ray/gcs/{gcs_server => }/gcs_init_data.h | 2 +- .../gcs/{gcs_server => }/gcs_job_manager.cc | 2 +- .../gcs/{gcs_server => }/gcs_job_manager.h | 10 +-- .../gcs/{gcs_server => }/gcs_kv_manager.cc | 2 +- src/ray/gcs/{gcs_server => }/gcs_kv_manager.h | 2 +- .../gcs/{gcs_server => }/gcs_node_manager.cc | 2 +- .../gcs/{gcs_server => }/gcs_node_manager.h | 6 +- .../{gcs_server => }/gcs_placement_group.cc | 2 +- .../{gcs_server => }/gcs_placement_group.h | 0 .../gcs_placement_group_manager.cc | 2 +- .../gcs_placement_group_manager.h | 14 +-- .../gcs_placement_group_scheduler.cc | 2 +- .../gcs_placement_group_scheduler.h | 6 +- .../gcs_ray_event_converter.cc | 2 +- .../gcs_ray_event_converter.h | 0 .../{gcs_server => }/gcs_resource_manager.cc | 4 +- .../{gcs_server => }/gcs_resource_manager.h | 6 +- src/ray/gcs/{gcs_server => }/gcs_server.cc | 18 ++-- src/ray/gcs/{gcs_server => }/gcs_server.h | 22 ++--- .../gcs_server_io_context_policy.h | 2 +- .../gcs/{gcs_server => }/gcs_server_main.cc | 2 +- .../gcs/{gcs_server => }/gcs_table_storage.cc | 2 +- .../gcs/{gcs_server => }/gcs_table_storage.h | 0 .../gcs/{gcs_server => }/gcs_task_manager.cc | 2 +- .../gcs/{gcs_server => }/gcs_task_manager.h | 6 +- .../{gcs_server => }/gcs_worker_manager.cc | 2 +- .../gcs/{gcs_server => }/gcs_worker_manager.h | 8 +- .../grpc_service_interfaces.h | 0 src/ray/gcs/{gcs_server => }/grpc_services.cc | 2 +- src/ray/gcs/{gcs_server => }/grpc_services.h | 2 +- .../gcs/{gcs_server => }/pubsub_handler.cc | 2 +- src/ray/gcs/{gcs_server => }/pubsub_handler.h | 2 +- .../{gcs_server => }/runtime_env_handler.cc | 2 +- .../{gcs_server => }/runtime_env_handler.h | 2 +- src/ray/gcs/{gcs_server => }/state_util.cc | 2 +- src/ray/gcs/{gcs_server => }/state_util.h | 0 .../gcs/{gcs_server => }/store_client_kv.cc | 2 +- .../gcs/{gcs_server => }/store_client_kv.h | 2 +- .../gcs/{gcs_server => }/tests/BUILD.bazel | 88 +++++++++---------- .../gcs_actor_manager_export_event_test.cc | 10 +-- .../gcs_job_manager_export_event_test.cc | 6 +- .../gcs_node_manager_export_event_test.cc | 2 +- .../tests/gcs_actor_manager_test.cc | 12 +-- .../tests/gcs_actor_scheduler_mock_test.cc | 6 +- .../tests/gcs_actor_scheduler_test.cc | 8 +- .../gcs_autoscaler_state_manager_test.cc | 14 +-- .../tests/gcs_function_manager_test.cc | 4 +- .../tests/gcs_health_check_manager_test.cc | 2 +- .../tests/gcs_job_manager_test.cc | 6 +- .../tests/gcs_kv_manager_test.cc | 4 +- .../tests/gcs_node_manager_test.cc | 2 +- .../gcs_placement_group_manager_mock_test.cc | 8 +- .../tests/gcs_placement_group_manager_test.cc | 4 +- .../gcs_placement_group_scheduler_test.cc | 10 +-- .../tests/gcs_ray_event_converter_test.cc | 2 +- .../tests/gcs_resource_manager_test.cc | 4 +- .../tests/gcs_server_rpc_test.cc | 2 +- .../tests/gcs_server_test_util.h | 12 +-- .../tests/gcs_table_storage_test_base.h | 2 +- .../tests/gcs_task_manager_test.cc | 2 +- .../tests/gcs_worker_manager_test.cc | 4 +- .../tests/in_memory_gcs_table_storage_test.cc | 4 +- .../tests/redis_gcs_table_storage_test.cc | 4 +- .../tests/usage_stats_client_test.cc | 6 +- .../{gcs_server => }/usage_stats_client.cc | 2 +- .../gcs/{gcs_server => }/usage_stats_client.h | 2 +- src/ray/gcs_client/accessor.cc | 2 +- src/ray/gcs_client/tests/BUILD.bazel | 6 +- .../tests/gcs_client_reconnection_test.cc | 2 +- src/ray/gcs_client/tests/gcs_client_test.cc | 2 +- .../tests/global_state_accessor_test.cc | 2 +- 97 files changed, 235 insertions(+), 265 deletions(-) rename src/mock/ray/gcs/{gcs_server => }/gcs_actor_manager.h (98%) rename src/mock/ray/gcs/{gcs_server => }/gcs_actor_scheduler.h (98%) rename src/mock/ray/gcs/{gcs_server => }/gcs_job_manager.h (97%) rename src/mock/ray/gcs/{gcs_server => }/gcs_kv_manager.h (99%) rename src/mock/ray/gcs/{gcs_server => }/gcs_node_manager.h (97%) rename src/mock/ray/gcs/{gcs_server => }/gcs_placement_group_manager.h (97%) rename src/mock/ray/gcs/{gcs_server => }/gcs_placement_group_scheduler.h (98%) rename src/mock/ray/gcs/{gcs_server => }/gcs_resource_manager.h (97%) rename src/mock/ray/gcs/{gcs_server => }/gcs_task_manager.h (96%) rename src/mock/ray/gcs/{gcs_server => }/gcs_worker_manager.h (97%) delete mode 100644 src/mock/ray/gcs/pubsub/gcs_pub_sub.h rename src/ray/gcs/{gcs_server => }/BUILD.bazel (99%) rename src/ray/gcs/{gcs_server => }/gcs_actor.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_actor.h (100%) rename src/ray/gcs/{gcs_server => }/gcs_actor_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_actor_manager.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_actor_scheduler.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_actor_scheduler.h (99%) rename src/ray/gcs/{gcs_server => }/gcs_autoscaler_state_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_autoscaler_state_manager.h (96%) rename src/ray/gcs/{gcs_server => }/gcs_function_manager.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_health_check_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_health_check_manager.h (100%) rename src/ray/gcs/{gcs_server => }/gcs_init_data.cc (98%) rename src/ray/gcs/{gcs_server => }/gcs_init_data.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_job_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_job_manager.h (96%) rename src/ray/gcs/{gcs_server => }/gcs_kv_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_kv_manager.h (99%) rename src/ray/gcs/{gcs_server => }/gcs_node_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_node_manager.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group.cc (98%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group.h (100%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group_manager.h (97%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group_scheduler.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_placement_group_scheduler.h (99%) rename src/ray/gcs/{gcs_server => }/gcs_ray_event_converter.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_ray_event_converter.h (100%) rename src/ray/gcs/{gcs_server => }/gcs_resource_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_resource_manager.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_server.cc (98%) rename src/ray/gcs/{gcs_server => }/gcs_server.h (94%) rename src/ray/gcs/{gcs_server => }/gcs_server_io_context_policy.h (98%) rename src/ray/gcs/{gcs_server => }/gcs_server_main.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_table_storage.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_table_storage.h (100%) rename src/ray/gcs/{gcs_server => }/gcs_task_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_task_manager.h (99%) rename src/ray/gcs/{gcs_server => }/gcs_worker_manager.cc (99%) rename src/ray/gcs/{gcs_server => }/gcs_worker_manager.h (94%) rename src/ray/gcs/{gcs_server => }/grpc_service_interfaces.h (100%) rename src/ray/gcs/{gcs_server => }/grpc_services.cc (99%) rename src/ray/gcs/{gcs_server => }/grpc_services.h (99%) rename src/ray/gcs/{gcs_server => }/pubsub_handler.cc (99%) rename src/ray/gcs/{gcs_server => }/pubsub_handler.h (97%) rename src/ray/gcs/{gcs_server => }/runtime_env_handler.cc (96%) rename src/ray/gcs/{gcs_server => }/runtime_env_handler.h (96%) rename src/ray/gcs/{gcs_server => }/state_util.cc (97%) rename src/ray/gcs/{gcs_server => }/state_util.h (100%) rename src/ray/gcs/{gcs_server => }/store_client_kv.cc (99%) rename src/ray/gcs/{gcs_server => }/store_client_kv.h (97%) rename src/ray/gcs/{gcs_server => }/tests/BUILD.bazel (80%) rename src/ray/gcs/{gcs_server => }/tests/export_api/gcs_actor_manager_export_event_test.cc (98%) rename src/ray/gcs/{gcs_server => }/tests/export_api/gcs_job_manager_export_event_test.cc (98%) rename src/ray/gcs/{gcs_server => }/tests/export_api/gcs_node_manager_export_event_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_actor_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_actor_scheduler_mock_test.cc (98%) rename src/ray/gcs/{gcs_server => }/tests/gcs_actor_scheduler_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_autoscaler_state_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_function_manager_test.cc (97%) rename src/ray/gcs/{gcs_server => }/tests/gcs_health_check_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_job_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_kv_manager_test.cc (98%) rename src/ray/gcs/{gcs_server => }/tests/gcs_node_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_placement_group_manager_mock_test.cc (97%) rename src/ray/gcs/{gcs_server => }/tests/gcs_placement_group_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_placement_group_scheduler_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_ray_event_converter_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_resource_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_server_rpc_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_server_test_util.h (97%) rename src/ray/gcs/{gcs_server => }/tests/gcs_table_storage_test_base.h (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_task_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/gcs_worker_manager_test.cc (99%) rename src/ray/gcs/{gcs_server => }/tests/in_memory_gcs_table_storage_test.cc (91%) rename src/ray/gcs/{gcs_server => }/tests/redis_gcs_table_storage_test.cc (93%) rename src/ray/gcs/{gcs_server => }/tests/usage_stats_client_test.cc (93%) rename src/ray/gcs/{gcs_server => }/usage_stats_client.cc (96%) rename src/ray/gcs/{gcs_server => }/usage_stats_client.h (97%) diff --git a/BUILD.bazel b/BUILD.bazel index 5337472727fe..9224cf8f2373 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -246,7 +246,7 @@ pyx_library( "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs/store_client:redis_store_client", "//src/ray/gcs_client:gcs_python_callbacks", "//src/ray/gcs_client:global_state_accessor_lib", @@ -385,7 +385,7 @@ pkg_files( pkg_files( name = "gcs_server_files", - srcs = ["//src/ray/gcs/gcs_server"], + srcs = ["//src/ray/gcs:gcs_server"], attributes = pkg_attributes(mode = "755"), prefix = "ray/core/src/ray/gcs", visibility = ["//visibility:private"], diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index 1eb54aeb2025..44d2e3321c1c 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -70,7 +70,7 @@ cdef extern from "ray/gcs_client/global_state_accessor.h" nogil: cdef extern from * namespace "ray::gcs" nogil: """ #include - #include "ray/gcs/gcs_server/store_client_kv.h" + #include "ray/gcs/store_client_kv.h" #include "ray/gcs/store_client/redis_store_client.h" #include "ray/util/raii.h" namespace ray { diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h b/src/mock/ray/gcs/gcs_actor_manager.h similarity index 98% rename from src/mock/ray/gcs/gcs_server/gcs_actor_manager.h rename to src/mock/ray/gcs/gcs_actor_manager.h index b3984e0c36c1..fd5a5f4a8769 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/mock/ray/gcs/gcs_actor_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_actor_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/mock/ray/gcs/gcs_actor_scheduler.h similarity index 98% rename from src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h rename to src/mock/ray/gcs/gcs_actor_scheduler.h index f4edac842542..7ada39f420d6 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/mock/ray/gcs/gcs_actor_scheduler.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_actor_scheduler.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_job_manager.h b/src/mock/ray/gcs/gcs_job_manager.h similarity index 97% rename from src/mock/ray/gcs/gcs_server/gcs_job_manager.h rename to src/mock/ray/gcs/gcs_job_manager.h index 9228c063e4f3..2a04a8e2b87a 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/mock/ray/gcs/gcs_job_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_job_manager.h" +#include "ray/gcs/gcs_job_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h b/src/mock/ray/gcs/gcs_kv_manager.h similarity index 99% rename from src/mock/ray/gcs/gcs_server/gcs_kv_manager.h rename to src/mock/ray/gcs/gcs_kv_manager.h index 5a5a224e0199..87df51b573db 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_kv_manager.h +++ b/src/mock/ray/gcs/gcs_kv_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h b/src/mock/ray/gcs/gcs_node_manager.h similarity index 97% rename from src/mock/ray/gcs/gcs_server/gcs_node_manager.h rename to src/mock/ray/gcs/gcs_node_manager.h index 67161c0a6456..ef81ef8a6d71 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/mock/ray/gcs/gcs_node_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_node_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h b/src/mock/ray/gcs/gcs_placement_group_manager.h similarity index 97% rename from src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h rename to src/mock/ray/gcs/gcs_placement_group_manager.h index 433bc132bddb..ffd4ceee0cb0 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_placement_group_manager.h +++ b/src/mock/ray/gcs/gcs_placement_group_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/mock/ray/gcs/gcs_placement_group_scheduler.h similarity index 98% rename from src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h rename to src/mock/ray/gcs/gcs_placement_group_scheduler.h index e35bcd45940b..f6fb6ac3ff14 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/mock/ray/gcs/gcs_placement_group_scheduler.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_placement_group_scheduler.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h b/src/mock/ray/gcs/gcs_resource_manager.h similarity index 97% rename from src/mock/ray/gcs/gcs_server/gcs_resource_manager.h rename to src/mock/ray/gcs/gcs_resource_manager.h index a3865ab02968..0d5c83531cb3 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/mock/ray/gcs/gcs_resource_manager.h @@ -17,7 +17,7 @@ #include #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_resource_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_task_manager.h b/src/mock/ray/gcs/gcs_task_manager.h similarity index 96% rename from src/mock/ray/gcs/gcs_server/gcs_task_manager.h rename to src/mock/ray/gcs/gcs_task_manager.h index e3c8222a01d4..db633ba6e6b8 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/mock/ray/gcs/gcs_task_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_task_manager.h" +#include "ray/gcs/gcs_task_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h b/src/mock/ray/gcs/gcs_worker_manager.h similarity index 97% rename from src/mock/ray/gcs/gcs_server/gcs_worker_manager.h rename to src/mock/ray/gcs/gcs_worker_manager.h index deb459f53a65..e44259ed523f 100644 --- a/src/mock/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/mock/ray/gcs/gcs_worker_manager.h @@ -16,7 +16,7 @@ #include -#include "ray/gcs/gcs_server/gcs_worker_manager.h" +#include "ray/gcs/gcs_worker_manager.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs/pubsub/gcs_pub_sub.h b/src/mock/ray/gcs/pubsub/gcs_pub_sub.h deleted file mode 100644 index 14252da567cc..000000000000 --- a/src/mock/ray/gcs/pubsub/gcs_pub_sub.h +++ /dev/null @@ -1,30 +0,0 @@ -// Copyright 2021 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -namespace ray { -namespace gcs { - -class MockGcsPubSub : public GcsPubSub { - public: - MOCK_METHOD(Status, - Publish, - (const std::string &channel, - const std::string &id, - const std::string &data, - const StatusCallback &done), - (override)); -}; - -} // namespace gcs -} // namespace ray diff --git a/src/ray/gcs/gcs_server/BUILD.bazel b/src/ray/gcs/BUILD.bazel similarity index 99% rename from src/ray/gcs/gcs_server/BUILD.bazel rename to src/ray/gcs/BUILD.bazel index 695ddad003b1..5493169d3f6b 100644 --- a/src/ray/gcs/gcs_server/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -45,7 +45,7 @@ ray_cc_library( deps = [ "//src/ray/common:asio", "//src/ray/common:status", - "//src/ray/gcs/gcs_server:grpc_service_interfaces", + "//src/ray/gcs:grpc_service_interfaces", "//src/ray/protobuf:gcs_cc_proto", ], ) @@ -136,7 +136,7 @@ ray_cc_library( srcs = ["pubsub_handler.cc"], hdrs = ["pubsub_handler.h"], deps = [ - "//src/ray/gcs/gcs_server:grpc_service_interfaces", + "//src/ray/gcs:grpc_service_interfaces", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", "@com_google_absl//absl/container:flat_hash_map", diff --git a/src/ray/gcs/gcs_server/gcs_actor.cc b/src/ray/gcs/gcs_actor.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_actor.cc rename to src/ray/gcs/gcs_actor.cc index 2e9b6769b052..152294b05a94 100644 --- a/src/ray/gcs/gcs_server/gcs_actor.cc +++ b/src/ray/gcs/gcs_actor.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_actor.h" +#include "ray/gcs/gcs_actor.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_actor.h b/src/ray/gcs/gcs_actor.h similarity index 100% rename from src/ray/gcs/gcs_server/gcs_actor.h rename to src/ray/gcs/gcs_actor.h diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.cc b/src/ray/gcs/gcs_actor_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_actor_manager.cc rename to src/ray/gcs/gcs_actor_manager.cc index dde37de4b3e0..8c5e69f0853e 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_actor_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_actor_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_actor_manager.h b/src/ray/gcs/gcs_actor_manager.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_actor_manager.h rename to src/ray/gcs/gcs_actor_manager.h index 1f95b8ccf31f..947c52f107bd 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_actor_manager.h @@ -27,13 +27,13 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_function_manager.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/grpc_service_interfaces.h" +#include "ray/gcs/usage_stats_client.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_actor_scheduler.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_actor_scheduler.cc rename to src/ray/gcs/gcs_actor_scheduler.cc index d471ada70c15..79bfd2930770 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_actor_scheduler.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_actor_scheduler.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h b/src/ray/gcs/gcs_actor_scheduler.h similarity index 99% rename from src/ray/gcs/gcs_server/gcs_actor_scheduler.h rename to src/ray/gcs/gcs_actor_scheduler.h index 1def8f69db62..432b93cf4c9a 100644 --- a/src/ray/gcs/gcs_server/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_actor_scheduler.h @@ -24,9 +24,9 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/raylet/raylet_client_pool.h" diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_autoscaler_state_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc rename to src/ray/gcs/gcs_autoscaler_state_manager.cc index 85ff43477a9d..6d0841745282 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_autoscaler_state_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" +#include "ray/gcs/gcs_autoscaler_state_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_autoscaler_state_manager.h similarity index 96% rename from src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h rename to src/ray/gcs/gcs_autoscaler_state_manager.h index 9079b75bfbd8..2a459a7e51fe 100644 --- a/src/ray/gcs/gcs_server/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_autoscaler_state_manager.h @@ -23,13 +23,13 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/gcs_server/state_util.h" +#include "ray/gcs/gcs_actor_manager.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_kv_manager.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" +#include "ray/gcs/grpc_service_interfaces.h" +#include "ray/gcs/state_util.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/util/thread_checker.h" diff --git a/src/ray/gcs/gcs_server/gcs_function_manager.h b/src/ray/gcs/gcs_function_manager.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_function_manager.h rename to src/ray/gcs/gcs_function_manager.h index 27380c052e83..3c861fe83f98 100644 --- a/src/ray/gcs/gcs_server/gcs_function_manager.h +++ b/src/ray/gcs/gcs_function_manager.h @@ -18,7 +18,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/constants.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc b/src/ray/gcs/gcs_health_check_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_health_check_manager.cc rename to src/ray/gcs/gcs_health_check_manager.cc index 109a313d5394..9cc54c945304 100644 --- a/src/ray/gcs/gcs_server/gcs_health_check_manager.cc +++ b/src/ray/gcs/gcs_health_check_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_health_check_manager.h" +#include "ray/gcs/gcs_health_check_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_health_check_manager.h b/src/ray/gcs/gcs_health_check_manager.h similarity index 100% rename from src/ray/gcs/gcs_server/gcs_health_check_manager.h rename to src/ray/gcs/gcs_health_check_manager.h diff --git a/src/ray/gcs/gcs_server/gcs_init_data.cc b/src/ray/gcs/gcs_init_data.cc similarity index 98% rename from src/ray/gcs/gcs_server/gcs_init_data.cc rename to src/ray/gcs/gcs_init_data.cc index 1c7ed5389813..2f695f5e9188 100644 --- a/src/ray/gcs/gcs_server/gcs_init_data.cc +++ b/src/ray/gcs/gcs_init_data.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_init_data.h" +#include "ray/gcs/gcs_init_data.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_init_data.h b/src/ray/gcs/gcs_init_data.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_init_data.h rename to src/ray/gcs/gcs_init_data.h index d5c2c24c8f2c..1fcd02897346 100644 --- a/src/ray/gcs/gcs_server/gcs_init_data.h +++ b/src/ray/gcs/gcs_init_data.h @@ -17,7 +17,7 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/postable.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_table_storage.h" #include "src/ray/protobuf/gcs.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.cc b/src/ray/gcs/gcs_job_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_job_manager.cc rename to src/ray/gcs/gcs_job_manager.cc index 89af057e6832..a2eee9004c80 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_job_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_job_manager.h" +#include "ray/gcs/gcs_job_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_job_manager.h b/src/ray/gcs/gcs_job_manager.h similarity index 96% rename from src/ray/gcs/gcs_server/gcs_job_manager.h rename to src/ray/gcs/gcs_job_manager.h index f6c534eb5c70..9a6db62a494b 100644 --- a/src/ray/gcs/gcs_server/gcs_job_manager.h +++ b/src/ray/gcs/gcs_job_manager.h @@ -22,11 +22,11 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/gcs_function_manager.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_kv_manager.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/grpc_service_interfaces.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/gcs/gcs_server/gcs_kv_manager.cc b/src/ray/gcs/gcs_kv_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_kv_manager.cc rename to src/ray/gcs/gcs_kv_manager.cc index 26e77cf3bf1f..988604021f68 100644 --- a/src/ray/gcs/gcs_server/gcs_kv_manager.cc +++ b/src/ray/gcs/gcs_kv_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_kv_manager.h b/src/ray/gcs/gcs_kv_manager.h similarity index 99% rename from src/ray/gcs/gcs_server/gcs_kv_manager.h rename to src/ray/gcs/gcs_kv_manager.h index bacbf74a8768..6814b593e92e 100644 --- a/src/ray/gcs/gcs_server/gcs_kv_manager.h +++ b/src/ray/gcs/gcs_kv_manager.h @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/postable.h" #include "ray/common/status.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/grpc_service_interfaces.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_node_manager.cc rename to src/ray/gcs/gcs_node_manager.cc index 116c664c017c..ffa6a7fee49a 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_node_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_node_manager.h b/src/ray/gcs/gcs_node_manager.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_node_manager.h rename to src/ray/gcs/gcs_node_manager.h index 65efb9a18cc2..fe463d6adf8d 100644 --- a/src/ray/gcs/gcs_server/gcs_node_manager.h +++ b/src/ray/gcs/gcs_node_manager.h @@ -23,9 +23,9 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/grpc_service_interfaces.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/stats/metric_defs.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group.cc b/src/ray/gcs/gcs_placement_group.cc similarity index 98% rename from src/ray/gcs/gcs_server/gcs_placement_group.cc rename to src/ray/gcs/gcs_placement_group.cc index a238e5c51000..4de5b8fa229b 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group.cc +++ b/src/ray/gcs/gcs_placement_group.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group.h" +#include "ray/gcs/gcs_placement_group.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_placement_group.h b/src/ray/gcs/gcs_placement_group.h similarity index 100% rename from src/ray/gcs/gcs_server/gcs_placement_group.h rename to src/ray/gcs/gcs_placement_group.h diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc b/src/ray/gcs/gcs_placement_group_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_placement_group_manager.cc rename to src/ray/gcs/gcs_placement_group_manager.cc index 1a67ce39518b..be3c8d21853a 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.cc +++ b/src/ray/gcs/gcs_placement_group_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_manager.h b/src/ray/gcs/gcs_placement_group_manager.h similarity index 97% rename from src/ray/gcs/gcs_server/gcs_placement_group_manager.h rename to src/ray/gcs/gcs_placement_group_manager.h index b9a7450fddde..aa3bfae4c6f4 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_manager.h +++ b/src/ray/gcs/gcs_placement_group_manager.h @@ -25,13 +25,13 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_placement_group.h" -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_placement_group.h" +#include "ray/gcs/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_resource_manager.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/grpc_service_interfaces.h" +#include "ray/gcs/usage_stats_client.h" #include "ray/util/counter_map.h" #include "ray/util/exponential_backoff.h" #include "src/ray/protobuf/gcs_service.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_placement_group_scheduler.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc rename to src/ray/gcs/gcs_placement_group_scheduler.cc index 68e29aadcc3a..f14f380d6018 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_placement_group_scheduler.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_placement_group_scheduler.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_placement_group_scheduler.h similarity index 99% rename from src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h rename to src/ray/gcs/gcs_placement_group_scheduler.h index a031c594c306..6e43239d7967 100644 --- a/src/ray/gcs/gcs_server/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_placement_group_scheduler.h @@ -24,9 +24,9 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_location_index.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/gcs_placement_group.h" +#include "ray/gcs/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" #include "ray/rpc/raylet/raylet_client_interface.h" diff --git a/src/ray/gcs/gcs_server/gcs_ray_event_converter.cc b/src/ray/gcs/gcs_ray_event_converter.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_ray_event_converter.cc rename to src/ray/gcs/gcs_ray_event_converter.cc index 43b76e8e001f..d07a51ca3557 100644 --- a/src/ray/gcs/gcs_server/gcs_ray_event_converter.cc +++ b/src/ray/gcs/gcs_ray_event_converter.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" +#include "ray/gcs/gcs_ray_event_converter.h" #include diff --git a/src/ray/gcs/gcs_server/gcs_ray_event_converter.h b/src/ray/gcs/gcs_ray_event_converter.h similarity index 100% rename from src/ray/gcs/gcs_server/gcs_ray_event_converter.h rename to src/ray/gcs/gcs_ray_event_converter.h diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.cc b/src/ray/gcs/gcs_resource_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_resource_manager.cc rename to src/ray/gcs/gcs_resource_manager.cc index 0dca317fda20..b9303b58ee55 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.cc +++ b/src/ray/gcs/gcs_resource_manager.cc @@ -12,14 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_resource_manager.h" #include #include #include #include "ray/common/ray_config.h" -#include "ray/gcs/gcs_server/state_util.h" +#include "ray/gcs/state_util.h" #include "ray/util/logging.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/gcs_resource_manager.h b/src/ray/gcs/gcs_resource_manager.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_resource_manager.h rename to src/ray/gcs/gcs_resource_manager.h index 78ced7dd01ab..4d477ba1cb1f 100644 --- a/src/ray/gcs/gcs_server/gcs_resource_manager.h +++ b/src/ray/gcs/gcs_resource_manager.h @@ -23,9 +23,9 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/ray_syncer/ray_syncer.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/grpc_service_interfaces.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_server.cc b/src/ray/gcs/gcs_server.cc similarity index 98% rename from src/ray/gcs/gcs_server/gcs_server.cc rename to src/ray/gcs/gcs_server.cc index 1249b6298d7f..6dcd258465f2 100644 --- a/src/ray/gcs/gcs_server/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include #include @@ -23,18 +23,18 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" -#include "ray/gcs/gcs_server/gcs_job_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/gcs_server/gcs_worker_manager.h" -#include "ray/gcs/gcs_server/grpc_services.h" -#include "ray/gcs/gcs_server/store_client_kv.h" +#include "ray/gcs/gcs_actor_manager.h" +#include "ray/gcs/gcs_autoscaler_state_manager.h" +#include "ray/gcs/gcs_job_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_resource_manager.h" +#include "ray/gcs/gcs_worker_manager.h" +#include "ray/gcs/grpc_services.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" #include "ray/gcs/store_client/store_client.h" +#include "ray/gcs/store_client_kv.h" #include "ray/pubsub/publisher.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" diff --git a/src/ray/gcs/gcs_server/gcs_server.h b/src/ray/gcs/gcs_server.h similarity index 94% rename from src/ray/gcs/gcs_server/gcs_server.h rename to src/ray/gcs/gcs_server.h index 31c3f3a09fb4..c9541defe3c1 100644 --- a/src/ray/gcs/gcs_server/gcs_server.h +++ b/src/ray/gcs/gcs_server.h @@ -22,20 +22,20 @@ #include "ray/common/asio/postable.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" -#include "ray/gcs/gcs_server/gcs_health_check_manager.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/gcs_server/gcs_server_io_context_policy.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/gcs_task_manager.h" -#include "ray/gcs/gcs_server/pubsub_handler.h" -#include "ray/gcs/gcs_server/runtime_env_handler.h" -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/gcs_function_manager.h" +#include "ray/gcs/gcs_health_check_manager.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_kv_manager.h" +#include "ray/gcs/gcs_resource_manager.h" +#include "ray/gcs/gcs_server_io_context_policy.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/gcs_task_manager.h" +#include "ray/gcs/pubsub_handler.h" +#include "ray/gcs/runtime_env_handler.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/observable_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/gcs/usage_stats_client.h" #include "ray/observability/ray_event_recorder.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" diff --git a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h b/src/ray/gcs/gcs_server_io_context_policy.h similarity index 98% rename from src/ray/gcs/gcs_server/gcs_server_io_context_policy.h rename to src/ray/gcs/gcs_server_io_context_policy.h index 95e5e550634f..f8a504762162 100644 --- a/src/ray/gcs/gcs_server/gcs_server_io_context_policy.h +++ b/src/ray/gcs/gcs_server_io_context_policy.h @@ -19,7 +19,7 @@ #include #include "ray/common/ray_syncer/ray_syncer.h" -#include "ray/gcs/gcs_server/gcs_task_manager.h" +#include "ray/gcs/gcs_task_manager.h" #include "ray/observability/ray_event_recorder.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/util/array.h" diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server_main.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_server_main.cc rename to src/ray/gcs/gcs_server_main.cc index 712acb8d9768..19d155e407b9 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server_main.cc @@ -20,7 +20,7 @@ #include "gflags/gflags.h" #include "ray/common/ray_config.h" -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include "ray/gcs/store_client/redis_store_client.h" #include "ray/stats/stats.h" #include "ray/util/event.h" diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.cc b/src/ray/gcs/gcs_table_storage.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_table_storage.cc rename to src/ray/gcs/gcs_table_storage.cc index 203e8c0e4848..549a0c1733fc 100644 --- a/src/ray/gcs/gcs_server/gcs_table_storage.cc +++ b/src/ray/gcs/gcs_table_storage.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_table_storage.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_table_storage.h b/src/ray/gcs/gcs_table_storage.h similarity index 100% rename from src/ray/gcs/gcs_server/gcs_table_storage.h rename to src/ray/gcs/gcs_table_storage.h diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.cc b/src/ray/gcs/gcs_task_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_task_manager.cc rename to src/ray/gcs/gcs_task_manager.cc index bbea0fe45f37..250a88c9fe40 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_task_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_task_manager.h" +#include "ray/gcs/gcs_task_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_task_manager.h b/src/ray/gcs/gcs_task_manager.h similarity index 99% rename from src/ray/gcs/gcs_server/gcs_task_manager.h rename to src/ray/gcs/gcs_task_manager.h index 2e9b6f3dc877..ee0ebe3110f3 100644 --- a/src/ray/gcs/gcs_server/gcs_task_manager.h +++ b/src/ray/gcs/gcs_task_manager.h @@ -25,9 +25,9 @@ #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" #include "ray/common/protobuf_utils.h" -#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/gcs_ray_event_converter.h" +#include "ray/gcs/grpc_service_interfaces.h" +#include "ray/gcs/usage_stats_client.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.cc b/src/ray/gcs/gcs_worker_manager.cc similarity index 99% rename from src/ray/gcs/gcs_server/gcs_worker_manager.cc rename to src/ray/gcs/gcs_worker_manager.cc index aa13eeda4819..3819112f75c6 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.cc +++ b/src/ray/gcs/gcs_worker_manager.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_worker_manager.h" +#include "ray/gcs/gcs_worker_manager.h" #include #include diff --git a/src/ray/gcs/gcs_server/gcs_worker_manager.h b/src/ray/gcs/gcs_worker_manager.h similarity index 94% rename from src/ray/gcs/gcs_server/gcs_worker_manager.h rename to src/ray/gcs/gcs_worker_manager.h index a5823283d9f7..062fb25d1d3d 100644 --- a/src/ray/gcs/gcs_server/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_worker_manager.h @@ -16,10 +16,10 @@ #include -#include "ray/gcs/gcs_server/gcs_kv_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/gcs_kv_manager.h" +#include "ray/gcs/gcs_table_storage.h" +#include "ray/gcs/grpc_service_interfaces.h" +#include "ray/gcs/usage_stats_client.h" #include "ray/pubsub/gcs_publisher.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/grpc_service_interfaces.h b/src/ray/gcs/grpc_service_interfaces.h similarity index 100% rename from src/ray/gcs/gcs_server/grpc_service_interfaces.h rename to src/ray/gcs/grpc_service_interfaces.h diff --git a/src/ray/gcs/gcs_server/grpc_services.cc b/src/ray/gcs/grpc_services.cc similarity index 99% rename from src/ray/gcs/gcs_server/grpc_services.cc rename to src/ray/gcs/grpc_services.cc index b868c93f9425..012f81537a55 100644 --- a/src/ray/gcs/gcs_server/grpc_services.cc +++ b/src/ray/gcs/grpc_services.cc @@ -11,7 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/grpc_services.h" +#include "ray/gcs/grpc_services.h" #include #include diff --git a/src/ray/gcs/gcs_server/grpc_services.h b/src/ray/gcs/grpc_services.h similarity index 99% rename from src/ray/gcs/gcs_server/grpc_services.h rename to src/ray/gcs/grpc_services.h index 12e745196163..9a7862d334b5 100644 --- a/src/ray/gcs/gcs_server/grpc_services.h +++ b/src/ray/gcs/grpc_services.h @@ -27,7 +27,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/grpc_service_interfaces.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/server_call.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" diff --git a/src/ray/gcs/gcs_server/pubsub_handler.cc b/src/ray/gcs/pubsub_handler.cc similarity index 99% rename from src/ray/gcs/gcs_server/pubsub_handler.cc rename to src/ray/gcs/pubsub_handler.cc index 14b0291c6126..1e281ba1b56c 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.cc +++ b/src/ray/gcs/pubsub_handler.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/pubsub_handler.h" +#include "ray/gcs/pubsub_handler.h" #include #include diff --git a/src/ray/gcs/gcs_server/pubsub_handler.h b/src/ray/gcs/pubsub_handler.h similarity index 97% rename from src/ray/gcs/gcs_server/pubsub_handler.h rename to src/ray/gcs/pubsub_handler.h index 6808c254ef2c..f69b8e2a50f1 100644 --- a/src/ray/gcs/gcs_server/pubsub_handler.h +++ b/src/ray/gcs/pubsub_handler.h @@ -18,7 +18,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/grpc_service_interfaces.h" #include "ray/pubsub/gcs_publisher.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/runtime_env_handler.cc b/src/ray/gcs/runtime_env_handler.cc similarity index 96% rename from src/ray/gcs/gcs_server/runtime_env_handler.cc rename to src/ray/gcs/runtime_env_handler.cc index 83aa0c5c3538..b71604b9cecc 100644 --- a/src/ray/gcs/gcs_server/runtime_env_handler.cc +++ b/src/ray/gcs/runtime_env_handler.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/runtime_env_handler.h" +#include "ray/gcs/runtime_env_handler.h" #include diff --git a/src/ray/gcs/gcs_server/runtime_env_handler.h b/src/ray/gcs/runtime_env_handler.h similarity index 96% rename from src/ray/gcs/gcs_server/runtime_env_handler.h rename to src/ray/gcs/runtime_env_handler.h index 15eb88ee95ca..4211fb95030a 100644 --- a/src/ray/gcs/gcs_server/runtime_env_handler.h +++ b/src/ray/gcs/runtime_env_handler.h @@ -19,7 +19,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs/gcs_server/grpc_service_interfaces.h" +#include "ray/gcs/grpc_service_interfaces.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/gcs_server/state_util.cc b/src/ray/gcs/state_util.cc similarity index 97% rename from src/ray/gcs/gcs_server/state_util.cc rename to src/ray/gcs/state_util.cc index b1f41b393682..64576c793687 100644 --- a/src/ray/gcs/gcs_server/state_util.cc +++ b/src/ray/gcs/state_util.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/state_util.h" +#include "ray/gcs/state_util.h" #include diff --git a/src/ray/gcs/gcs_server/state_util.h b/src/ray/gcs/state_util.h similarity index 100% rename from src/ray/gcs/gcs_server/state_util.h rename to src/ray/gcs/state_util.h diff --git a/src/ray/gcs/gcs_server/store_client_kv.cc b/src/ray/gcs/store_client_kv.cc similarity index 99% rename from src/ray/gcs/gcs_server/store_client_kv.cc rename to src/ray/gcs/store_client_kv.cc index 1586087246b5..31297c49536e 100644 --- a/src/ray/gcs/gcs_server/store_client_kv.cc +++ b/src/ray/gcs/store_client_kv.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/store_client_kv.h" +#include "ray/gcs/store_client_kv.h" #include #include diff --git a/src/ray/gcs/gcs_server/store_client_kv.h b/src/ray/gcs/store_client_kv.h similarity index 97% rename from src/ray/gcs/gcs_server/store_client_kv.h rename to src/ray/gcs/store_client_kv.h index 9d122b85184e..295ad387a8e6 100644 --- a/src/ray/gcs/gcs_server/store_client_kv.h +++ b/src/ray/gcs/store_client_kv.h @@ -20,7 +20,7 @@ #include #include "ray/common/asio/postable.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/store_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel similarity index 80% rename from src/ray/gcs/gcs_server/tests/BUILD.bazel rename to src/ray/gcs/tests/BUILD.bazel index feae8305f242..012661e15b01 100644 --- a/src/ray/gcs/gcs_server/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -6,7 +6,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/gcs/gcs_server:gcs_function_manager", + "//src/ray/gcs:gcs_function_manager", "@com_google_googletest//:gtest_main", ], ) @@ -21,7 +21,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_placement_group_manager", + "//src/ray/gcs:gcs_placement_group_manager", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -48,7 +48,7 @@ ray_cc_test( ], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs:gcs_server_lib", "@com_google_googletest//:gtest", ], ) @@ -70,8 +70,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_kv_manager", - "//src/ray/gcs/gcs_server:gcs_store_client_kv", + "//src/ray/gcs:gcs_kv_manager", + "//src/ray/gcs:gcs_store_client_kv", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client:redis_store_client", "@com_google_googletest//:gtest", @@ -89,7 +89,7 @@ ray_cc_test( "team:core", ], deps = [ - "//src/ray/gcs/gcs_server:gcs_health_check_manager", + "//src/ray/gcs:gcs_health_check_manager", "//src/ray/rpc:grpc_server", "//src/ray/util:network_util", "@boost//:thread", @@ -109,7 +109,7 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/gcs:gcs_node_manager", "@com_google_googletest//:gtest_main", ], ) @@ -125,8 +125,8 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_job_manager", - "//src/ray/gcs/gcs_server:gcs_kv_manager", + "//src/ray/gcs:gcs_job_manager", + "//src/ray/gcs:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", "@com_google_googletest//:gtest_main", @@ -144,7 +144,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:protobuf_utils", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_task_manager", + "//src/ray/gcs:gcs_task_manager", "@com_google_googletest//:gtest_main", ], ) @@ -163,7 +163,7 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_placement_group_manager", + "//src/ray/gcs:gcs_placement_group_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", @@ -185,11 +185,11 @@ ray_cc_test( "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_node_manager", - "//src/ray/gcs/gcs_server:gcs_placement_group", - "//src/ray/gcs/gcs_server:gcs_placement_group_scheduler", - "//src/ray/gcs/gcs_server:gcs_resource_manager", - "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs:gcs_node_manager", + "//src/ray/gcs:gcs_placement_group", + "//src/ray/gcs:gcs_placement_group_scheduler", + "//src/ray/gcs:gcs_resource_manager", + "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", @@ -208,9 +208,9 @@ ray_cc_test( "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_actor", - "//src/ray/gcs/gcs_server:gcs_actor_scheduler", - "//src/ray/gcs/gcs_server:gcs_resource_manager", + "//src/ray/gcs:gcs_actor", + "//src/ray/gcs:gcs_actor_scheduler", + "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", @@ -227,8 +227,8 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_actor", - "//src/ray/gcs/gcs_server:gcs_actor_scheduler", + "//src/ray/gcs:gcs_actor", + "//src/ray/gcs:gcs_actor_scheduler", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -248,10 +248,10 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:runtime_env", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_actor", - "//src/ray/gcs/gcs_server:gcs_actor_manager", - "//src/ray/gcs/gcs_server:gcs_actor_scheduler", - "//src/ray/gcs/gcs_server:gcs_function_manager", + "//src/ray/gcs:gcs_actor", + "//src/ray/gcs:gcs_actor_manager", + "//src/ray/gcs:gcs_actor_scheduler", + "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", "@com_google_googletest//:gtest_main", @@ -268,8 +268,8 @@ ray_cc_test( deps = [ "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_store_client_kv", - "//src/ray/gcs/gcs_server:gcs_worker_manager", + "//src/ray/gcs:gcs_store_client_kv", + "//src/ray/gcs:gcs_worker_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/util:process", "@com_google_googletest//:gtest_main", @@ -304,7 +304,7 @@ ray_cc_test( deps = [ ":gcs_table_storage_test_lib", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client/tests:store_client_test_lib", "@com_google_googletest//:gtest", ], @@ -318,7 +318,7 @@ ray_cc_test( deps = [ ":gcs_table_storage_test_lib", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_table_storage", + "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client/tests:store_client_test_lib", "@com_google_googletest//:gtest_main", @@ -339,10 +339,10 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:protobuf_utils", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_autoscaler_state_manager", - "//src/ray/gcs/gcs_server:gcs_init_data", - "//src/ray/gcs/gcs_server:gcs_resource_manager", - "//src/ray/gcs/gcs_server:gcs_store_client_kv", + "//src/ray/gcs:gcs_autoscaler_state_manager", + "//src/ray/gcs:gcs_init_data", + "//src/ray/gcs:gcs_resource_manager", + "//src/ray/gcs:gcs_store_client_kv", "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -358,8 +358,8 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_node_manager", - "//src/ray/gcs/gcs_server:gcs_resource_manager", + "//src/ray/gcs:gcs_node_manager", + "//src/ray/gcs:gcs_resource_manager", "//src/ray/raylet/scheduling:cluster_resource_manager", "@com_google_googletest//:gtest_main", ], @@ -376,7 +376,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_usage_stats_client", + "//src/ray/gcs:gcs_usage_stats_client", "@com_google_googletest//:gtest_main", ], ) @@ -393,8 +393,8 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_job_manager", - "//src/ray/gcs/gcs_server:gcs_kv_manager", + "//src/ray/gcs:gcs_job_manager", + "//src/ray/gcs:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", "@com_google_googletest//:gtest_main", @@ -414,10 +414,10 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:runtime_env", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_actor", - "//src/ray/gcs/gcs_server:gcs_actor_manager", - "//src/ray/gcs/gcs_server:gcs_actor_scheduler", - "//src/ray/gcs/gcs_server:gcs_function_manager", + "//src/ray/gcs:gcs_actor", + "//src/ray/gcs:gcs_actor_manager", + "//src/ray/gcs:gcs_actor_scheduler", + "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", "//src/ray/rpc:core_worker_client", @@ -438,7 +438,7 @@ ray_cc_test( "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_node_manager", + "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/util:string_utils", "@com_google_googletest//:gtest", @@ -451,7 +451,7 @@ ray_cc_test( srcs = ["gcs_ray_event_converter_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs/gcs_server:gcs_ray_event_converter", + "//src/ray/gcs:gcs_ray_event_converter", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc rename to src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc index 4622270460a2..0a154594859c 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -22,14 +22,14 @@ #include #include -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_actor_manager.h" +#include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc rename to src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc index 9a310d1f923e..afaf73eeac39 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc @@ -19,12 +19,12 @@ #include #include -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_job_manager.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_job_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" diff --git a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc rename to src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc index aa9731d2823f..5c2ceb17f61b 100644 --- a/src/ray/gcs/gcs_server/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc @@ -24,7 +24,7 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc b/src/ray/gcs/tests/gcs_actor_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc rename to src/ray/gcs/tests/gcs_actor_manager_test.cc index 1c4a60bff97c..bcc7b74b5730 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/tests/gcs_actor_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_actor_manager.h" +#include "ray/gcs/gcs_actor_manager.h" #include @@ -22,14 +22,14 @@ #include #include -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/gcs_function_manager.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc rename to src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc index 4aeb171c36d1..cbe43ab9f513 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc @@ -18,13 +18,13 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/raylet_client/raylet_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_actor_scheduler.h" #include "ray/util/counter_map.h" using namespace ::testing; // NOLINT diff --git a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc rename to src/ray/gcs/tests/gcs_actor_scheduler_test.cc index d891ce55caba..689007ffc67e 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_actor_scheduler.h" #include @@ -27,9 +27,9 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_actor.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_actor.h" +#include "ray/gcs/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/util/counter_map.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc rename to src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index 52d244ae3a35..ca07d5a72ab5 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_autoscaler_state_manager.h" +#include "ray/gcs/gcs_autoscaler_state_manager.h" #include #include @@ -26,17 +26,17 @@ #include #include "fakes/ray/rpc/raylet/raylet_client.h" -#include "mock/ray/gcs/gcs_server/gcs_actor_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "mock/ray/gcs/gcs_actor_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_placement_group_manager.h" #include "mock/ray/gcs/store_client/store_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/protobuf_utils.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_init_data.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/gcs_server/store_client_kv.h" +#include "ray/gcs/gcs_init_data.h" +#include "ray/gcs/gcs_resource_manager.h" +#include "ray/gcs/store_client_kv.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc b/src/ray/gcs/tests/gcs_function_manager_test.cc similarity index 97% rename from src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc rename to src/ray/gcs/tests/gcs_function_manager_test.cc index 10b8409dc844..b24eb51a8a21 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_function_manager_test.cc +++ b/src/ray/gcs/tests/gcs_function_manager_test.cc @@ -12,13 +12,13 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_function_manager.h" +#include "ray/gcs/gcs_function_manager.h" #include #include -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc b/src/ray/gcs/tests/gcs_health_check_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc rename to src/ray/gcs/tests/gcs_health_check_manager_test.cc index 8ca66a12522f..8c6d5e485e8d 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_health_check_manager_test.cc +++ b/src/ray/gcs/tests/gcs_health_check_manager_test.cc @@ -34,7 +34,7 @@ using namespace boost::asio::ip; // NOLINT #include #include "gtest/gtest.h" -#include "ray/gcs/gcs_server/gcs_health_check_manager.h" +#include "ray/gcs/gcs_health_check_manager.h" #include "ray/util/network_util.h" int GetFreePort() { diff --git a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc b/src/ray/gcs/tests/gcs_job_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc rename to src/ray/gcs/tests/gcs_job_manager_test.cc index 4c4227f5d929..e2aae44e87d1 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/tests/gcs_job_manager_test.cc @@ -12,17 +12,17 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_job_manager.h" +#include "ray/gcs/gcs_job_manager.h" #include #include #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc b/src/ray/gcs/tests/gcs_kv_manager_test.cc similarity index 98% rename from src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc rename to src/ray/gcs/tests/gcs_kv_manager_test.cc index 26d9f1a56fe5..e33795bc0869 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_kv_manager_test.cc +++ b/src/ray/gcs/tests/gcs_kv_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include #include @@ -22,9 +22,9 @@ #include "gtest/gtest.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/gcs/store_client_kv.h" class GcsKVManagerTest : public ::testing::TestWithParam { public: diff --git a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc rename to src/ray/gcs/tests/gcs_node_manager_test.cc index e1ec7cf7398a..0406017f31cb 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_node_manager.h" +#include "ray/gcs/gcs_node_manager.h" #include diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc b/src/ray/gcs/tests/gcs_placement_group_manager_mock_test.cc similarity index 97% rename from src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc rename to src/ray/gcs/tests/gcs_placement_group_manager_mock_test.cc index ad8db572aa44..66987d0dae74 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_mock_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_manager_mock_test.cc @@ -18,12 +18,12 @@ #include #include -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" -#include "mock/ray/gcs/gcs_server/gcs_placement_group_scheduler.h" -#include "mock/ray/gcs/gcs_server/gcs_resource_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_placement_group_scheduler.h" +#include "mock/ray/gcs/gcs_resource_manager.h" #include "mock/ray/gcs/store_client/store_client.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" #include "ray/util/counter_map.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc b/src/ray/gcs/tests/gcs_placement_group_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc rename to src/ray/gcs/tests/gcs_placement_group_manager_test.cc index fc0a0dd953fa..bc0126e33e79 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_manager_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_manager.h" +#include "ray/gcs/gcs_placement_group_manager.h" #include @@ -20,7 +20,7 @@ #include #include -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc rename to src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index f5d9d64cd84c..3a866866d72e 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -13,7 +13,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_placement_group_scheduler.h" #include @@ -26,10 +26,10 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/gcs_placement_group.h" +#include "ray/gcs/gcs_resource_manager.h" +#include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/util/counter_map.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc rename to src/ray/gcs/tests/gcs_ray_event_converter_test.cc index ffffa9ddea0b..89a10bebe4f2 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_ray_event_converter_test.cc +++ b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_ray_event_converter.h" +#include "ray/gcs/gcs_ray_event_converter.h" #include diff --git a/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc b/src/ray/gcs/tests/gcs_resource_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc rename to src/ray/gcs/tests/gcs_resource_manager_test.cc index a652ec345edf..a9732014aadd 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_resource_manager_test.cc +++ b/src/ray/gcs/tests/gcs_resource_manager_test.cc @@ -12,14 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_resource_manager.h" #include #include #include #include "gtest/gtest.h" -#include "mock/ray/gcs/gcs_server/gcs_node_manager.h" +#include "mock/ray/gcs/gcs_node_manager.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc b/src/ray/gcs/tests/gcs_server_rpc_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc rename to src/ray/gcs/tests/gcs_server_rpc_test.cc index 7cdc021f49a0..fff248c8b0f5 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/tests/gcs_server_rpc_test.cc @@ -20,7 +20,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include "ray/gcs_client/rpc_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h b/src/ray/gcs/tests/gcs_server_test_util.h similarity index 97% rename from src/ray/gcs/gcs_server/tests/gcs_server_test_util.h rename to src/ray/gcs/tests/gcs_server_test_util.h index b52445c5c4f5..1b4ff40714a4 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_server_test_util.h +++ b/src/ray/gcs/tests/gcs_server_test_util.h @@ -27,12 +27,12 @@ #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_actor_manager.h" -#include "ray/gcs/gcs_server/gcs_actor_scheduler.h" -#include "ray/gcs/gcs_server/gcs_node_manager.h" -#include "ray/gcs/gcs_server/gcs_placement_group_mgr.h" -#include "ray/gcs/gcs_server/gcs_placement_group_scheduler.h" -#include "ray/gcs/gcs_server/gcs_resource_manager.h" +#include "ray/gcs/gcs_actor_manager.h" +#include "ray/gcs/gcs_actor_scheduler.h" +#include "ray/gcs/gcs_node_manager.h" +#include "ray/gcs/gcs_placement_group_mgr.h" +#include "ray/gcs/gcs_placement_group_scheduler.h" +#include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h b/src/ray/gcs/tests/gcs_table_storage_test_base.h similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h rename to src/ray/gcs/tests/gcs_table_storage_test_base.h index 982327dffee1..7b5010f8ebaa 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h +++ b/src/ray/gcs/tests/gcs_table_storage_test_base.h @@ -20,7 +20,7 @@ #include "gtest/gtest.h" #include "ray/common/id.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" +#include "ray/gcs/gcs_table_storage.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc b/src/ray/gcs/tests/gcs_task_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc rename to src/ray/gcs/tests/gcs_task_manager_test.cc index b52232537d48..19249eee30d7 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_task_manager_test.cc +++ b/src/ray/gcs/tests/gcs_task_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_task_manager.h" +#include "ray/gcs/gcs_task_manager.h" #include diff --git a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc b/src/ray/gcs/tests/gcs_worker_manager_test.cc similarity index 99% rename from src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc rename to src/ray/gcs/tests/gcs_worker_manager_test.cc index 4adaa81169b8..6730cdd29283 100644 --- a/src/ray/gcs/gcs_server/tests/gcs_worker_manager_test.cc +++ b/src/ray/gcs/tests/gcs_worker_manager_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/gcs_worker_manager.h" +#include "ray/gcs/gcs_worker_manager.h" #include @@ -22,8 +22,8 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/store_client_kv.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/store_client_kv.h" #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc b/src/ray/gcs/tests/in_memory_gcs_table_storage_test.cc similarity index 91% rename from src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc rename to src/ray/gcs/tests/in_memory_gcs_table_storage_test.cc index 4b4ddcbcfa7b..ac20883d2e85 100644 --- a/src/ray/gcs/gcs_server/tests/in_memory_gcs_table_storage_test.cc +++ b/src/ray/gcs/tests/in_memory_gcs_table_storage_test.cc @@ -17,9 +17,9 @@ #include #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" +#include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/gcs/tests/gcs_table_storage_test_base.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc b/src/ray/gcs/tests/redis_gcs_table_storage_test.cc similarity index 93% rename from src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc rename to src/ray/gcs/tests/redis_gcs_table_storage_test.cc index f89124b3319e..fd9ec84352f9 100644 --- a/src/ray/gcs/gcs_server/tests/redis_gcs_table_storage_test.cc +++ b/src/ray/gcs/tests/redis_gcs_table_storage_test.cc @@ -16,9 +16,9 @@ #include "gtest/gtest.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_table_storage.h" -#include "ray/gcs/gcs_server/tests/gcs_table_storage_test_base.h" +#include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/gcs/tests/gcs_table_storage_test_base.h" namespace ray { diff --git a/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc b/src/ray/gcs/tests/usage_stats_client_test.cc similarity index 93% rename from src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc rename to src/ray/gcs/tests/usage_stats_client_test.cc index 7a0b7ffea376..15fcaa19674d 100644 --- a/src/ray/gcs/gcs_server/tests/usage_stats_client_test.cc +++ b/src/ray/gcs/tests/usage_stats_client_test.cc @@ -12,16 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/usage_stats_client.h" #include #include #include -#include "mock/ray/gcs/gcs_server/gcs_kv_manager.h" +#include "mock/ray/gcs/gcs_kv_manager.h" #include "ray/common/asio/asio_util.h" -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" using namespace ray; // NOLINT diff --git a/src/ray/gcs/gcs_server/usage_stats_client.cc b/src/ray/gcs/usage_stats_client.cc similarity index 96% rename from src/ray/gcs/gcs_server/usage_stats_client.cc rename to src/ray/gcs/usage_stats_client.cc index 8f46eb6b4970..cdd1ae431496 100644 --- a/src/ray/gcs/gcs_server/usage_stats_client.cc +++ b/src/ray/gcs/usage_stats_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs/gcs_server/usage_stats_client.h" +#include "ray/gcs/usage_stats_client.h" #include diff --git a/src/ray/gcs/gcs_server/usage_stats_client.h b/src/ray/gcs/usage_stats_client.h similarity index 97% rename from src/ray/gcs/gcs_server/usage_stats_client.h rename to src/ray/gcs/usage_stats_client.h index a79cb6bbc4e4..2ff37f70354a 100644 --- a/src/ray/gcs/gcs_server/usage_stats_client.h +++ b/src/ray/gcs/usage_stats_client.h @@ -17,7 +17,7 @@ #include #include -#include "ray/gcs/gcs_server/gcs_kv_manager.h" +#include "ray/gcs/gcs_kv_manager.h" #include "src/ray/protobuf/usage.pb.h" namespace ray { diff --git a/src/ray/gcs_client/accessor.cc b/src/ray/gcs_client/accessor.cc index e035c2002e0c..b698a6b14bc4 100644 --- a/src/ray/gcs_client/accessor.cc +++ b/src/ray/gcs_client/accessor.cc @@ -1165,7 +1165,7 @@ void InternalKVAccessor::AsyncInternalKVMultiGet( callback(status, map); } else { // TODO(ryw): reply.status() is not examined. It's never populated in - // src/ray/gcs/gcs_server/gcs_kv_manager.cc either anyway so it's ok for now. + // src/ray/gcs/gcs_kv_manager.cc either anyway so it's ok for now. // Investigate if we wanna remove that field. for (const auto &entry : reply.results()) { map[entry.key()] = entry.value(); diff --git a/src/ray/gcs_client/tests/BUILD.bazel b/src/ray/gcs_client/tests/BUILD.bazel index c0b12afa33b5..f12f17b71480 100644 --- a/src/ray/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs_client/tests/BUILD.bazel @@ -31,7 +31,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", "//src/ray/gcs_client:global_state_accessor_lib", "//src/ray/util:path_utils", @@ -61,7 +61,7 @@ ray_cc_test( ], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", "//src/ray/util:network_util", "//src/ray/util:raii", @@ -89,7 +89,7 @@ ray_cc_test( ], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs/gcs_server:gcs_server_lib", + "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", "//src/ray/util:network_util", "//src/ray/util:path_utils", diff --git a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc index 11803e70019a..ec02beadf82d 100644 --- a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc @@ -23,7 +23,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/gcs_client.h" #include "ray/gcs_client/rpc_client.h" diff --git a/src/ray/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs_client/tests/gcs_client_test.cc index e30edd401536..c788f08d2a47 100644 --- a/src/ray/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_test.cc @@ -23,7 +23,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/rpc_client.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs_client/tests/global_state_accessor_test.cc index eb9b3b32b16f..1575c85766fa 100644 --- a/src/ray/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs_client/tests/global_state_accessor_test.cc @@ -21,7 +21,7 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" -#include "ray/gcs/gcs_server/gcs_server.h" +#include "ray/gcs/gcs_server.h" #include "ray/gcs_client/rpc_client.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" From d2c83c72a0587cd61e0869dcedd13521f0f95492 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 15 Sep 2025 15:33:22 -0700 Subject: [PATCH 1219/1566] [image] change tag methods of container class to private (#56551) they are only used within the class Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/docker_container.py | 8 ++++---- ci/ray_ci/test_ray_docker_container.py | 16 ++++++++-------- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 9544cef62167..492c9217de6f 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -114,10 +114,10 @@ def _get_canonical_tag(self) -> str: # e.g. sha-pyversion-platform return self.canonical_tag if self.canonical_tag else self._get_image_tags()[0] - def get_python_version_tag(self) -> str: + def _get_python_version_tag(self) -> str: return f"-py{self.python_version.replace('.', '')}" # 3.x -> py3x - def get_platform_tag(self) -> str: + def _get_platform_tag(self) -> str: if self.platform == "cpu": return "-cpu" versions = self.platform.split(".") @@ -138,7 +138,7 @@ def _get_image_tags(self, external: bool = False) -> List[str]: versions = self._get_image_version_tags(external) - platforms = [self.get_platform_tag()] + platforms = [self._get_platform_tag()] if self.platform == "cpu" and self.image_type == RayType.RAY: # no tag is alias to cpu for ray image platforms.append("") @@ -149,7 +149,7 @@ def _get_image_tags(self, external: bool = False) -> List[str]: # no tag is alias to gpu for ray-ml image platforms.append("") - py_versions = [self.get_python_version_tag()] + py_versions = [self._get_python_version_tag()] if self.python_version == DEFAULT_PYTHON_VERSION: py_versions.append("") diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index e60528207c9b..96f14d3dc741 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -395,30 +395,30 @@ def test_get_python_version_tag(self) -> None: v = DEFAULT_PYTHON_VERSION pv = self.get_python_version(v) container = RayDockerContainer(v, "cpu", "ray") - assert container.get_python_version_tag() == f"-{pv}" + assert container._get_python_version_tag() == f"-{pv}" def test_get_platform_tag(self) -> None: v = DEFAULT_PYTHON_VERSION container = RayDockerContainer(v, "cpu", "ray") - assert container.get_platform_tag() == "-cpu" + assert container._get_platform_tag() == "-cpu" container = RayDockerContainer(v, "cu11.8.0-cudnn8", "ray") - assert container.get_platform_tag() == "-cu118" + assert container._get_platform_tag() == "-cu118" container = RayDockerContainer(v, "cu12.3.2-cudnn9", "ray") - assert container.get_platform_tag() == "-cu123" + assert container._get_platform_tag() == "-cu123" container = RayDockerContainer(v, "cu12.4.1-cudnn", "ray") - assert container.get_platform_tag() == "-cu124" + assert container._get_platform_tag() == "-cu124" container = RayDockerContainer(v, "cu12.5.1-cudnn", "ray") - assert container.get_platform_tag() == "-cu125" + assert container._get_platform_tag() == "-cu125" container = RayDockerContainer(v, "cu12.6.3-cudnn", "ray") - assert container.get_platform_tag() == "-cu126" + assert container._get_platform_tag() == "-cu126" container = RayDockerContainer(v, "cu12.8.1-cudnn", "ray") - assert container.get_platform_tag() == "-cu128" + assert container._get_platform_tag() == "-cu128" def test_should_upload(self) -> None: v = DEFAULT_PYTHON_VERSION From 76e883485526eeb7b977257f8d409390b0d3cc4e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 15 Sep 2025 15:56:14 -0700 Subject: [PATCH 1220/1566] [image] add ray-llm image type check (#56542) make the check stricter Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/docker_container.py | 15 ++++++++++--- ci/ray_ci/test_ray_docker_container.py | 30 ++++++++++++++------------ 2 files changed, 28 insertions(+), 17 deletions(-) diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 492c9217de6f..9f739466d679 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -21,17 +21,21 @@ "cpu", "cu12.1.1-cudnn8", ] +PLATFORMS_RAY_LLM = ["cu12.8.1-cudnn"] GPU_PLATFORM = "cu12.1.1-cudnn8" PYTHON_VERSIONS_RAY = ["3.9", "3.10", "3.11", "3.12"] PYTHON_VERSIONS_RAY_ML = ["3.9", "3.10", "3.11"] +PYTHON_VERSIONS_RAY_LLM = ["3.11"] ARCHITECTURES_RAY = ["x86_64", "aarch64"] ARCHITECTURES_RAY_ML = ["x86_64"] +ARCHITECTURES_RAY_LLM = ["x86_64"] class RayType(str, Enum): RAY = "ray" RAY_ML = "ray-ml" + RAY_LLM = "ray-llm" class DockerContainer(LinuxContainer): @@ -50,13 +54,18 @@ def __init__( ) -> None: assert "RAYCI_CHECKOUT_DIR" in os.environ, "RAYCI_CHECKOUT_DIR not set" - assert python_version in PYTHON_VERSIONS_RAY - assert platform in PLATFORMS_RAY - assert architecture in ARCHITECTURES_RAY if image_type == RayType.RAY_ML: assert python_version in PYTHON_VERSIONS_RAY_ML assert platform in PLATFORMS_RAY_ML assert architecture in ARCHITECTURES_RAY_ML + elif image_type == RayType.RAY_LLM: + assert python_version in PYTHON_VERSIONS_RAY_LLM + assert platform in PLATFORMS_RAY_LLM + assert architecture in ARCHITECTURES_RAY_LLM + else: + assert python_version in PYTHON_VERSIONS_RAY + assert platform in PLATFORMS_RAY + assert architecture in ARCHITECTURES_RAY rayci_checkout_dir = os.environ["RAYCI_CHECKOUT_DIR"] self.python_version = python_version diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index 96f14d3dc741..767bfbdd228e 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -53,6 +53,7 @@ def _mock_run_script(input: List[str]) -> None: v = "3.11" cv = self.get_cpp_version(v) pv = self.get_python_version(v) + cuda = "cu12.8.1-cudnn" container = RayDockerContainer(v, cuda, "ray-llm") container.run() cmd = self.cmds[-1] @@ -61,14 +62,15 @@ def _mock_run_script(input: List[str]) -> None: f"ray-{RAY_VERSION}-{cv}-{cv}-manylinux2014_x86_64.whl " f"{_DOCKER_ECR_REPO}:{ray_ci_build_id}-ray-llm-py{v}-{cuda}-base " "requirements_compiled.txt " - f"rayproject/ray-llm:{sha}-{pv}-cu124 " - f"ray-llm:{sha}-{pv}-cu124_pip-freeze.txt" + f"rayproject/ray-llm:{sha}-{pv}-cu128 " + f"ray-llm:{sha}-{pv}-cu128_pip-freeze.txt" ) # Run with non-default python version and ray-ml image v = self.get_non_default_python() cv = self.get_cpp_version(v) pv = self.get_python_version(v) + cuda = "cu12.4.1-cudnn" container = RayDockerContainer(v, "cpu", "ray-ml") container.run() cmd = self.cmds[-1] @@ -132,7 +134,7 @@ def _mock_run_script(input: List[str]) -> None: v = "3.11" cv = self.get_cpp_version(v) pv = self.get_python_version(v) - cuda = "cu12.4.1-cudnn" + cuda = "cu12.8.1-cudnn" container = RayDockerContainer(v, cuda, "ray-llm") container.run() assert len(self.cmds) == 6 @@ -141,8 +143,8 @@ def _mock_run_script(input: List[str]) -> None: f"ray-{RAY_VERSION}-{cv}-{cv}-manylinux2014_x86_64.whl " f"{_DOCKER_ECR_REPO}:{ray_ci_build_id}-ray-llm-py{v}-{cuda}-base " "requirements_compiled.txt " - f"rayproject/ray-llm:{sha}-{pv}-cu124 " - f"ray-llm:{sha}-{pv}-cu124_pip-freeze.txt" + f"rayproject/ray-llm:{sha}-{pv}-cu128 " + f"ray-llm:{sha}-{pv}-cu128_pip-freeze.txt" ) assert ( self.cmds[1] @@ -217,8 +219,8 @@ def _mock_run_script(input: List[str]) -> None: # Run with specific python version and ray-llm image self.cmds = [] - v = DEFAULT_PYTHON_VERSION - cuda = "cu12.4.1-cudnn" + v = "3.11" + cuda = "cu12.8.1-cudnn" cv = self.get_cpp_version(v) pv = self.get_python_version(v) container = RayDockerContainer(v, cuda, "ray-llm") @@ -229,8 +231,8 @@ def _mock_run_script(input: List[str]) -> None: f"ray-{RAY_VERSION}-{cv}-{cv}-manylinux2014_x86_64.whl " f"{_DOCKER_ECR_REPO}:{ray_ci_build_id}-ray-llm-py{v}-{cuda}-base " "requirements_compiled.txt " - f"rayproject/ray-llm:{sha}-{pv}-cu124 " - f"ray-llm:{sha}-{pv}-cu124_pip-freeze.txt" + f"rayproject/ray-llm:{sha}-{pv}-cu128 " + f"ray-llm:{sha}-{pv}-cu128_pip-freeze.txt" ) # Run with non-default python version and ray-ml image @@ -341,17 +343,17 @@ def test_get_image_name(self) -> None: v = "3.11" pv = self.get_python_version(v) - container = RayDockerContainer(v, "cu12.4.1-cudnn", "ray-llm") + container = RayDockerContainer(v, "cu12.8.1-cudnn", "ray-llm") with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "daytime"}): assert container._get_image_names() == [ - f"rayproject/ray-llm:{sha}-{pv}-cu124", - f"rayproject/ray-llm:{rayci_build_id}-{pv}-cu124", + f"rayproject/ray-llm:{sha}-{pv}-cu128", + f"rayproject/ray-llm:{rayci_build_id}-{pv}-cu128", ] with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): assert container._get_image_names() == [ - f"rayproject/ray-llm:nightly.{formatted_date}.{sha}-{pv}-cu124", - f"rayproject/ray-llm:nightly-{pv}-cu124", + f"rayproject/ray-llm:nightly.{formatted_date}.{sha}-{pv}-cu128", + f"rayproject/ray-llm:nightly-{pv}-cu128", ] v = self.get_non_default_python() From 2c7e34a24888d8060283f559e32355d0de14e779 Mon Sep 17 00:00:00 2001 From: Jugal Shah <47508441+jugalshah291@users.noreply.github.com> Date: Mon, 15 Sep 2025 16:05:06 -0700 Subject: [PATCH 1221/1566] Add optional APIType filter to /api/serve/applications/ endpoint (#56458) ## Why are these changes needed? As part of this PR I am trying to address Problem 2 raised in issue https://github.com/ray-project/ray/issues/44226. The main aim is to enable KubeRay to exclusively check the status of only DECLARATIVE Serve apps. The solution would be build on top of this https://github.com/ray-project/ray/pull/45522 Based on my current understanding, it seems KubeRay should only operate on the DECLARATIVE Serve apps Thus my solution will involve two key steps: This PR- Update the /api/serve/applications/ endpoint to read the APIType from the request body and pass it on to the controller controller.get_serve_instance_details Next modify KubeRay to explicitly pass Declarative as the APIType when calling the /api/serve/applications/ ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: jugalshah291 Co-authored-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../ray/dashboard/modules/serve/serve_head.py | 27 ++- .../serve/tests/test_serve_dashboard.py | 166 ++++++++++++++++++ .../ray/serve/_private/application_state.py | 30 +++- python/ray/serve/_private/controller.py | 10 +- python/ray/serve/schema.py | 8 + 5 files changed, 231 insertions(+), 10 deletions(-) diff --git a/python/ray/dashboard/modules/serve/serve_head.py b/python/ray/dashboard/modules/serve/serve_head.py index 151a19908002..02e940bc7601 100644 --- a/python/ray/dashboard/modules/serve/serve_head.py +++ b/python/ray/dashboard/modules/serve/serve_head.py @@ -3,6 +3,7 @@ import json import logging from functools import wraps +from typing import Optional import aiohttp from aiohttp.web import Request, Response @@ -81,7 +82,27 @@ async def get_version(self, req: Request) -> Response: @dashboard_optional_utils.init_ray_and_catch_exceptions() @validate_endpoint() async def get_serve_instance_details(self, req: Request) -> Response: - from ray.serve.schema import ServeInstanceDetails + from ray.serve.schema import APIType, ServeInstanceDetails + + api_type: Optional[APIType] = None + api_type_str = req.query.get("api_type") + + if api_type_str: + api_type_lower = api_type_str.lower() + valid_values = APIType.get_valid_user_values() + + if api_type_lower not in valid_values: + # Explicitly check against valid user values (excludes 'unknown') + return Response( + status=400, + text=( + f"Invalid 'api_type' value: '{api_type_str}'. " + f"Must be one of: {', '.join(valid_values)}" + ), + content_type="text/plain", + ) + + api_type = APIType(api_type_lower) controller = await self.get_serve_controller() @@ -90,7 +111,9 @@ async def get_serve_instance_details(self, req: Request) -> Response: details = ServeInstanceDetails.get_empty_schema_dict() else: try: - details = await controller.get_serve_instance_details.remote() + details = await controller.get_serve_instance_details.remote( + source=api_type + ) except ray.exceptions.RayTaskError as e: # Task failure sometimes are due to GCS # failure. When GCS failed, we expect a longer time diff --git a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py index ac5f7e7a7998..2d019f25dee2 100644 --- a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py +++ b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py @@ -572,5 +572,171 @@ def applications_running(): print("Finished checking application details.") +@pytest.mark.skipif( + sys.platform == "darwin" and not TEST_ON_DARWIN, reason="Flaky on OSX." +) +def test_get_serve_instance_details_api_type_filtering(ray_start_stop): + """ + Test the api_type query parameter for filtering applications by API type. + Tests both declarative and imperative applications. + """ + # First, deploy declarative applications + world_import_path = "ray.serve.tests.test_config_files.world.DagNode" + declarative_config = { + "applications": [ + { + "name": "declarative_app1", + "route_prefix": "/declarative1", + "import_path": world_import_path, + }, + { + "name": "declarative_app2", + "route_prefix": "/declarative2", + "import_path": world_import_path, + }, + ], + } + + deploy_config_multi_app(declarative_config, SERVE_HEAD_URL) + + # Wait for declarative apps to be running + def declarative_apps_running(): + response = requests.get(SERVE_HEAD_URL, timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + return len(serve_details.applications) == 2 and all( + app.status == ApplicationStatus.RUNNING + for app in serve_details.applications.values() + ) + + wait_for_condition(declarative_apps_running, timeout=15) + print("Declarative applications are running.") + + # Deploy imperative applications using subprocess + deploy = subprocess.run( + [ + sys.executable, + str(Path(__file__).parent / "deploy_imperative_serve_apps.py"), + ], + capture_output=True, + universal_newlines=True, + ) + assert deploy.returncode == 0 + + # Wait for imperative apps to be running + def all_apps_running(): + response = requests.get(SERVE_HEAD_URL, timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + return len( + serve_details.applications + ) == 4 and all( # 2 declarative + 2 imperative + app.status == ApplicationStatus.RUNNING + for app in serve_details.applications.values() + ) + + wait_for_condition(all_apps_running, timeout=15) + print("All applications (declarative + imperative) are running.") + + # Test 1: No api_type parameter - should return all applications + response = requests.get(SERVE_HEAD_URL, timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + assert len(serve_details.applications) == 4 + app_names = set(serve_details.applications.keys()) + assert app_names == {"declarative_app1", "declarative_app2", "app1", "app2"} + + # Test 2: Filter by declarative applications + response = requests.get(SERVE_HEAD_URL + "?api_type=declarative", timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + assert len(serve_details.applications) == 2 + app_names = set(serve_details.applications.keys()) + assert app_names == {"declarative_app1", "declarative_app2"} + for app in serve_details.applications.values(): + assert app.source == "declarative" + + # Test 3: Filter by imperative applications + response = requests.get(SERVE_HEAD_URL + "?api_type=imperative", timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + assert len(serve_details.applications) == 2 + app_names = set(serve_details.applications.keys()) + assert app_names == {"app1", "app2"} + for app in serve_details.applications.values(): + assert app.source == "imperative" + + # Test 4: Filter by unknown - should return 400 error (unknown is not a valid user input) + response = requests.get(SERVE_HEAD_URL + "?api_type=unknown", timeout=15) + assert response.status_code == 400 + assert "Invalid 'api_type' value" in response.text + assert "Must be one of: imperative, declarative" in response.text + + +@pytest.mark.skipif( + sys.platform == "darwin" and not TEST_ON_DARWIN, reason="Flaky on OSX." +) +def test_get_serve_instance_details_invalid_api_type(ray_start_stop): + """ + Test that invalid api_type values return appropriate error responses. + """ + # Test with invalid api_type value + response = requests.get(SERVE_HEAD_URL + "?api_type=invalid_type", timeout=15) + assert response.status_code == 400 + assert "Invalid 'api_type' value" in response.text + assert "Must be one of: imperative, declarative" in response.text + + # Test with another invalid value + response = requests.get(SERVE_HEAD_URL + "?api_type=python", timeout=15) + assert response.status_code == 400 + assert "Invalid 'api_type' value" in response.text + + +@pytest.mark.skipif( + sys.platform == "darwin" and not TEST_ON_DARWIN, reason="Flaky on OSX." +) +def test_get_serve_instance_details_api_type_case_insensitive(ray_start_stop): + """ + Test that api_type parameter is case insensitive. + """ + # Deploy a declarative application + world_import_path = "ray.serve.tests.test_config_files.world.DagNode" + config = { + "applications": [ + { + "name": "test_app", + "route_prefix": "/test", + "import_path": world_import_path, + } + ], + } + + deploy_config_multi_app(config, SERVE_HEAD_URL) + + def app_running(): + response = requests.get(SERVE_HEAD_URL, timeout=15) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + return ( + len(serve_details.applications) == 1 + and serve_details.applications["test_app"].status + == ApplicationStatus.RUNNING + ) + + wait_for_condition(app_running, timeout=15) + + # Test case insensitive filtering + test_cases = ["DECLARATIVE", "Declarative", "declarative", "DeClArAtIvE"] + + for api_type_value in test_cases: + response = requests.get( + f"{SERVE_HEAD_URL}?api_type={api_type_value}", timeout=15 + ) + assert response.status_code == 200 + serve_details = ServeInstanceDetails(**response.json()) + assert len(serve_details.applications) == 1 + assert "test_app" in serve_details.applications + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 21123b9be039..6f5a36bb3d59 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -1104,12 +1104,30 @@ def get_ingress_deployment_name(self, name: str) -> Optional[str]: def get_app_source(self, name: str) -> APIType: return self._application_states[name].api_type - def list_app_statuses(self) -> Dict[str, ApplicationStatusInfo]: - """Return a dictionary with {app name: application info}""" - return { - name: self._application_states[name].get_application_status_info() - for name in self._application_states - } + def list_app_statuses( + self, source: Optional[APIType] = None + ) -> Dict[str, ApplicationStatusInfo]: + """Return a dictionary with {app name: application info} + + Args: + source: Optional API type filter. If provided, only returns apps + deployed via the specified API type. + + Returns: + Dict[str, ApplicationStatusInfo]: A dictionary mapping application names + to their corresponding status information. + """ + if source is None: + return { + name: self._application_states[name].get_application_status_info() + for name in self._application_states + } + else: + return { + name: self._application_states[name].get_application_status_info() + for name in self._application_states + if self.get_app_source(name) is source + } def list_deployment_details(self, name: str) -> Dict[str, DeploymentDetails]: """Gets detailed info on all deployments in specified application.""" diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 446406026976..7e28d0d3f1ff 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -67,6 +67,7 @@ EndpointSet, ) from ray.serve.schema import ( + APIType, ApplicationDetails, DeploymentDetails, HTTPOptionsSchema, @@ -920,12 +921,17 @@ def list_deployment_ids(self) -> List[DeploymentID]: """Gets the current list of all deployments' identifiers.""" return self.deployment_state_manager._deployment_states.keys() - def get_serve_instance_details(self) -> Dict: + def get_serve_instance_details(self, source: Optional[APIType] = None) -> Dict: """Gets details on all applications on the cluster and system-level info. The information includes application and deployment statuses, config options, error messages, etc. + Args: + source: If provided, returns application + statuses for applications matching this API type. + Defaults to None, which means all applications are returned. + Returns: Dict that follows the format of the schema ServeInstanceDetails. """ @@ -934,7 +940,7 @@ def get_serve_instance_details(self) -> Dict: grpc_config = self.get_grpc_config() applications = {} - app_statuses = self.application_state_manager.list_app_statuses() + app_statuses = self.application_state_manager.list_app_statuses(source=source) # If there are no app statuses, there's no point getting the app configs. # Moreover, there might be no app statuses because the GCS is down, diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 455ba06a9904..055420eff9a4 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -1089,6 +1089,14 @@ class APIType(str, Enum): IMPERATIVE = "imperative" DECLARATIVE = "declarative" + @classmethod + def get_valid_user_values(cls): + """Get list of valid APIType values that users can explicitly pass. + + Excludes 'unknown' which is for internal use only. + """ + return [cls.IMPERATIVE.value, cls.DECLARATIVE.value] + @PublicAPI(stability="stable") class ApplicationDetails(BaseModel, extra=Extra.forbid, frozen=True): From 5eb1e2bfbfcd4c2e69b5cd1f1e7129f425544eea Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Mon, 15 Sep 2025 21:10:42 -0700 Subject: [PATCH 1222/1566] Bump vLLM to 0.10.2 (#56535) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- python/deplocks/llm/rayllm_py311_cpu.lock | 279 +++++----- python/deplocks/llm/rayllm_py311_cu121.lock | 476 ++++++++--------- python/deplocks/llm/rayllm_py311_cu128.lock | 334 ++++++------ .../deplocks/llm/rayllm_test_py311_cpu.lock | 281 +++++----- .../deplocks/llm/rayllm_test_py311_cu121.lock | 478 +++++++++--------- .../deplocks/llm/rayllm_test_py311_cu128.lock | 336 ++++++------ python/requirements/llm/llm-requirements.txt | 2 +- .../llm/llm-test-requirements.txt | 1 - python/setup.py | 2 +- 9 files changed, 1169 insertions(+), 1020 deletions(-) diff --git a/python/deplocks/llm/rayllm_py311_cpu.lock b/python/deplocks/llm/rayllm_py311_cpu.lock index de5b155c04c0..290ba9ffb530 100644 --- a/python/deplocks/llm/rayllm_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -508,9 +508,9 @@ colorful==0.5.5 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm @@ -780,6 +780,49 @@ filelock==3.17.0 \ # transformers # virtualenv # vllm +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via + # -c python/deplocks/llm/rayllm_test_py311_cpu.lock + # compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1262,9 +1305,9 @@ llvmlite==0.44.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm @@ -1763,6 +1806,7 @@ numpy==1.26.4 \ # transformers # vllm # xformers + # xgrammar openai==1.100.2 \ --hash=sha256:54d3457b2c8d7303a1bc002a058de46bdd8f37a8117751c7cf4ed4438051f151 \ --hash=sha256:787b4c3c8a65895182c58c424f790c25c790cc9a0330e34f73d55b6ee5a00e32 @@ -1845,48 +1889,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm @@ -3381,26 +3425,8 @@ tokenizers==0.21.1 \ # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # transformers # vllm -torch==2.7.1+cpu \ - --hash=sha256:0bc887068772233f532b51a3e8c8cfc682ae62bef74bf4e0c53526c8b9e4138f \ - --hash=sha256:1f04a373a3f643821f721da9898ef77dce73b5b6bfc64486f0976f7fb5f90e83 \ - --hash=sha256:355614185a2aea7155f9c88a20bfd49de5f3063866f3cf9b2f21b6e9e59e31e0 \ - --hash=sha256:3bf2db5adf77b433844f080887ade049c4705ddf9fe1a32023ff84ff735aa5ad \ - --hash=sha256:464bca1bc9452f2ccd676514688896e66b9488f2a0268ecd3ac497cf09c5aac1 \ - --hash=sha256:56136a2aca6707df3c8811e46ea2d379eaafd18e656e2fd51e8e4d0ca995651b \ - --hash=sha256:5fe6045b8f426bf2d0426e4fe009f1667a954ec2aeb82f1bd0bf60c6d7a85445 \ - --hash=sha256:7b977eccbc85ae2bd19d6998de7b1f1f4bd3c04eaffd3015deb7934389783399 \ - --hash=sha256:84ea1f6a1d15663037d01b121d6e33bb9da3c90af8e069e5072c30f413455a57 \ - --hash=sha256:8f8b3cfc53010a4b4a3c7ecb88c212e9decc4f5eeb6af75c3c803937d2d60947 \ - --hash=sha256:a1684793e352f03fa14f78857e55d65de4ada8405ded1da2bf4f452179c4b779 \ - --hash=sha256:a2618775f32eb4126c5b2050686da52001a08cffa331637d9cf51c8250931e00 \ - --hash=sha256:a4551cb97b83df5f93fc0d7538332535828581e1db2f179afc287027afbdd6e8 \ - --hash=sha256:b4cc706973655151f198d027ed34c92ab31a3db55676b44251194e1280631426 \ - --hash=sha256:b66f77f6f67317344ee083aa7ac4751a14395fcb38060d564bf513978d267153 \ - --hash=sha256:c0df17cee97653d09a4e84488a33d21217f9b24208583c55cf28f0045aab0766 \ - --hash=sha256:d205cac087d60bc176bdc0b63a1d00dc7a4ee5ac76fd20a2ca318ac65674167e \ - --hash=sha256:d25435bdc4780d3cb512aad55142aca9584ae1fe8f8691cda6d32f19faf5d58e \ - --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef +torch==2.8.0+cpu \ + --hash=sha256:cb06175284673a581dd91fb1965662ae4ecaba6e5c357aa0ea7bb8b84b6b7eeb # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # compressed-tensors @@ -3410,35 +3436,35 @@ torch==2.7.1+cpu \ # vllm # xformers # xgrammar -torchaudio==2.7.1+cpu \ - --hash=sha256:2746064c15032e674d1bf6c6e1686f7a43184a8f065ee1f1bdb81c782e82537c \ - --hash=sha256:2ec85e79386c3e68ae67ac74033118253f0c7a64a8343a58b2df802e42ca9f74 \ - --hash=sha256:5856ce75fb0cfb2a0d8be4e3f9def122414f009aad4347161ad80f5b8f708fa4 \ - --hash=sha256:65bf843345ae05629b7f71609bab0808004dabfce6cf48ea508a5d4f5419ca74 \ - --hash=sha256:6d4855a0d40d700b6a20b5d2691cfc9ea2296419e3ab0442ee2a1e8d0b73242a \ - --hash=sha256:79b75d9f8dadad5da128fd6677fe717669ce580c0d54c8407792854ac8b97349 \ - --hash=sha256:a36569e17ff4519a21f2113e9a19a8def0d70e2fd9fabc9105ca57dee3809443 \ - --hash=sha256:a71ef774991658188721f53ebf05c8858b2baf0abb17b65bf447b294f3e63e2e \ - --hash=sha256:c6b82f209797d0b6e46c33a76facb39987141c453f85d9d0fa849363d47c2f42 \ - --hash=sha256:d7bd84b934f365e537e519838e9a5e7e6aef0d94e3d1419e8734f58b1142f326 \ - --hash=sha256:deb19d2a1cbbe49f9d14a9fe3dce65fef8dd98570aa8b6a65d7f5d1e0d16d0f3 \ - --hash=sha256:e169a2b62e55342f2f30e17640054707c8e339045a1ccc2db33517e9debb2767 +torchaudio==2.8.0+cpu \ + --hash=sha256:0c2d081e24204768e636cbf05e1377c8a6964b8ed6fa3aa5092ba9af9bbc19c5 \ + --hash=sha256:7e9a06f6dc73f98aff1a5540f8d6103b66e4c945c1d94612087954905f221171 \ + --hash=sha256:89c2d04fe1cb7c31eb042f7b36e1ce8e2afacf769ecd5f216527e184e4857099 \ + --hash=sha256:9377faee65a290578280ac7f4884c3586253dac2ca28c60f458ff6efe86a6b05 \ + --hash=sha256:9b302192b570657c1cc787a4d487ae4bbb7f2aab1c01b1fcc46757e7f86f391e \ + --hash=sha256:ab4653da31dc37f0a643f41f4da8bee647a8686bacf12d3929cac8aead186811 \ + --hash=sha256:c955835e470ebbde03d7d54ca5d8ba5722138bbfd66cfb86845234b3a5b9f9fa \ + --hash=sha256:db37df7eee906f8fe0a639fdc673f3541cb2e173169b16d4133447eb922d1938 \ + --hash=sha256:e1b1f530e8b71b1d079e23db45a0e621709061710ef8540aae8280aa039554ee \ + --hash=sha256:e54bd7fc9472019308097d99102df9acee22aa2451ae808d27840bc874320292 \ + --hash=sha256:e856b1abb280e1d961bdc12476bd38fc7eab8af720f9c903c95998dda069ae4c \ + --hash=sha256:e9e68f16f1afe108f0cb1c7d636d0242fdc43cbbcaab222a72a373b9d2799134 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm -torchvision==0.22.1+cpu \ - --hash=sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8 \ - --hash=sha256:433cb4dbced7291f17064cea08ac1e5aebd02ec190e1c207d117ad62a8961f2b \ - --hash=sha256:445e442b94c365f7fd96596347c8a5a7fcfcbfca17a23baa8c9dcc8cb00fceee \ - --hash=sha256:4e0cbc165a472605d0c13da68ae22e84b17a6b815d5e600834777823e1bcb658 \ - --hash=sha256:9482adee074f60a45fd69892f7488281aadfda7836948c94b0a9b0caf55d1d67 \ - --hash=sha256:99788dd0d97ac8cdf25c74481e869e298626ffd8d6532defff6711f60516c88a \ - --hash=sha256:a93c21f18c33a819616b3dda7655aa4de40b219682c654175b6bbeb65ecc2e5f \ - --hash=sha256:ab7ae82529887c704c1b5d1d5198f65dc777d04fc3858b374503a6deedb82b19 \ - --hash=sha256:b2d1c4bdbfd8e6c779dc810a6171b56224f1332fc46986810d4081bed1633804 \ - --hash=sha256:b5fa7044bd82c6358e8229351c98070cf3a7bf4a6e89ea46352ae6c65745ef94 \ - --hash=sha256:c852e61bc903351169017e2e96389f28f6cfb52ca7c3945acceb31e7fe1b21e6 \ - --hash=sha256:e31f1273a8dd9760906288036ac3c8f5fef25eed393da0491db150d7be78910d +torchvision==0.23.0+cpu \ + --hash=sha256:474d77adbbbed5166db3e5636b4b4ae3399c66ef5bfa12536e254b32259c90c0 \ + --hash=sha256:51603eb071d0681abc4db98b10ff394ace31f425852e8de249b91c09c60eb19a \ + --hash=sha256:758fa965628ec53712fffdd866401329e8a5f2c5d36325b17aad771d2d2e3495 \ + --hash=sha256:82928788025170c62e7df1120dcdc0cd175bfc31c08374613ce6d1a040bc0cda \ + --hash=sha256:8d6a47e23d7896f0ef9aa7ea7179eb6324e82438aa66d19884c2020d0646b104 \ + --hash=sha256:a651ccc540cf4c87eb988730c59c2220c52b57adc276f044e7efb9830fa65a1d \ + --hash=sha256:ae459d4509d3b837b978dc6c66106601f916b6d2cda75c137e3f5f48324ce1da \ + --hash=sha256:bc6cee94bcc145d59426fd5289ca91e42cdb60e9886590f29d88f9f03c6bdea3 \ + --hash=sha256:c879590294471ffa6dca8ae2115c08351dde3b674fa271dd3b175f2de508a80a \ + --hash=sha256:d72ee52a73ca0a44f7d61729eb9de1b90b67230b71a496ff0d58b4255e6b88a9 \ + --hash=sha256:d83d8075db43b8ca89680bdeb2f100c832e2a3aa61ee42c038b1a146e5e511b6 \ + --hash=sha256:dea90a67d60a5366b0358a0b8d6bf267805278697d6fd950cf0e31139e56d1be # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm @@ -3506,6 +3532,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -3587,9 +3614,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # -r python/requirements/llm/llm-requirements.txt @@ -3700,38 +3727,38 @@ websockets==15.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # uvicorn -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ - --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ - --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1de84a45c497c8d92326986508d81f4b0a8c6be4d3d62a29b8ad6048a6ab51e1 \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 \ + --hash=sha256:feb452bc2c8731da1c5d0e2e4536ba95bb214f77b41e91f24443c74d6f98a126 # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm -xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via # -c python/deplocks/llm/rayllm_test_py311_cpu.lock # vllm diff --git a/python/deplocks/llm/rayllm_py311_cu121.lock b/python/deplocks/llm/rayllm_py311_cu121.lock index 777b41bc8ccd..68107182726d 100644 --- a/python/deplocks/llm/rayllm_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -508,9 +508,9 @@ colorful==0.5.5 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm @@ -780,6 +780,49 @@ filelock==3.17.0 \ # transformers # virtualenv # vllm +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via + # -c python/deplocks/llm/rayllm_test_py311_cu121.lock + # compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1262,9 +1305,9 @@ llvmlite==0.44.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm @@ -1763,119 +1806,101 @@ numpy==1.26.4 \ # transformers # vllm # xformers -nvidia-cublas-cu12==12.6.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb \ - --hash=sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668 \ - --hash=sha256:9e4fa264f4d8a4eb0cdbd34beadc029f453b3bafae02401e999cf3d5a5af75f8 + # xgrammar +nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:47e9b82132fa8d2b4944e708049229601448aaad7e6f296f630f2d1a32de35af \ + --hash=sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142 \ + --hash=sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch -nvidia-cuda-cupti-cu12==12.6.80 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:166ee35a3ff1587f2490364f90eeeb8da06cd867bd5b701bf7f9a02b78bc63fc \ - --hash=sha256:358b4a1d35370353d52e12f0a7d1769fc01ff74a191689d3870b2123156184c4 \ - --hash=sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132 \ - --hash=sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73 \ - --hash=sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a +nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed \ + --hash=sha256:bb479dcdf7e6d4f8b0b01b115260399bf34154a1a2e9fe11c85c517d87efd98e \ + --hash=sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cuda-nvrtc-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53 \ - --hash=sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13 \ - --hash=sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a +nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:7a4b6b2904850fe78e0bd179c4b655c404d4bb799ef03ddc60804247099ae909 \ + --hash=sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994 \ + --hash=sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cuda-runtime-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd \ - --hash=sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f \ - --hash=sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8 \ - --hash=sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7 \ - --hash=sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e +nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d \ + --hash=sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90 \ + --hash=sha256:c0c6027f01505bfed6c3b21ec546f69c687689aad5f1a377554bc6ca4aa993a8 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cudnn-cu12==9.5.1.17 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2 \ - --hash=sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def \ - --hash=sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8 +nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cufft-cu12==11.3.0.4 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464 \ - --hash=sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca \ - --hash=sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb \ - --hash=sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5 \ - --hash=sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6 +nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74 \ + --hash=sha256:7a64a98ef2a7c47f905aaf8931b69a3a43f27c55530c698bb2ed7c75c0b42cb7 \ + --hash=sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cufile-cu12==1.11.1.6 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db \ - --hash=sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159 +nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc \ + --hash=sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-curand-cu12==10.3.7.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905 \ - --hash=sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8 \ - --hash=sha256:7b2ed8e95595c3591d984ea3603dd66fe6ce6812b886d59049988a712ed06b6e \ - --hash=sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117 \ - --hash=sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf +nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9 \ + --hash=sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd \ + --hash=sha256:f149a8ca457277da854f89cf282d6ef43176861926c7ac85b2a0fbd237c587ec # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cusolver-cu12==11.7.1.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0 \ - --hash=sha256:6813f9d8073f555444a8705f3ab0296d3e1cb37a16d694c5fc8b862a0d8706d7 \ - --hash=sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6 \ - --hash=sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e \ - --hash=sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c +nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450 \ + --hash=sha256:4a550db115fcabc4d495eb7d39ac8b58d4ab5d8e63274d3754df1c0ad6a22d34 \ + --hash=sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-cusparse-cu12==12.5.4.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f \ - --hash=sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20 \ - --hash=sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73 \ - --hash=sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1 \ - --hash=sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887 +nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b \ + --hash=sha256:9a33604331cb2cac199f2e7f5104dfbb8a5a898c367a53dfda9ff2acb6b6b4dd \ + --hash=sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cusolver-cu12 # torch -nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7 \ - --hash=sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1 \ - --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 +nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522 \ - --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 +nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adf27ccf4238253e0b826bce3ff5fa532d65fc42322c8bfdfaf28024c0fbe039 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch -nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41 \ - --hash=sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c \ - --hash=sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a +nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88 \ + --hash=sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7 \ + --hash=sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch -nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:2fb11a4af04a5e6c84073e6404d26588a34afd35379f0855a99797897efa75c0 \ - --hash=sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1 \ - --hash=sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059 \ - --hash=sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2 \ - --hash=sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b +nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f \ + --hash=sha256:619c8304aedc69f02ea82dd244541a83c3d9d40993381b3b590f1adaed3db41e \ + --hash=sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch @@ -1961,48 +1986,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm @@ -3497,31 +3522,31 @@ tokenizers==0.21.1 \ # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # transformers # vllm -torch==2.7.1 \ - --hash=sha256:03563603d931e70722dce0e11999d53aa80a375a3d78e6b39b9f6805ea0a8d28 \ - --hash=sha256:06eea61f859436622e78dd0cdd51dbc8f8c6d76917a9cf0555a333f9eac31ec1 \ - --hash=sha256:0da4f4dba9f65d0d203794e619fe7ca3247a55ffdcbd17ae8fb83c8b2dc9b585 \ - --hash=sha256:23660443e13995ee93e3d844786701ea4ca69f337027b05182f5ba053ce43b38 \ - --hash=sha256:236f501f2e383f1cb861337bdf057712182f910f10aeaf509065d54d339e49b2 \ - --hash=sha256:27ea1e518df4c9de73af7e8a720770f3628e7f667280bce2be7a16292697e3fa \ - --hash=sha256:30207f672328a42df4f2174b8f426f354b2baa0b7cca3a0adb3d6ab5daf00dc8 \ - --hash=sha256:787687087412c4bd68d315e39bc1223f08aae1d16a9e9771d95eabbb04ae98fb \ - --hash=sha256:79042feca1c634aaf6603fe6feea8c6b30dfa140a6bbc0b973e2260c7e79a22e \ - --hash=sha256:8273145a2e0a3c6f9fd2ac36762d6ee89c26d430e612b95a99885df083b04e52 \ - --hash=sha256:8394833c44484547ed4a47162318337b88c97acdb3273d85ea06e03ffff44998 \ - --hash=sha256:885453d6fba67d9991132143bf7fa06b79b24352f4506fd4d10b309f53454162 \ - --hash=sha256:988b0cbc4333618a1056d2ebad9eb10089637b659eb645434d0809d8d937b946 \ - --hash=sha256:a103b5d782af5bd119b81dbcc7ffc6fa09904c423ff8db397a1e6ea8fd71508f \ - --hash=sha256:a737b5edd1c44a5c1ece2e9f3d00df9d1b3fb9541138bee56d83d38293fb6c9d \ - --hash=sha256:aea4fc1bf433d12843eb2c6b2204861f43d8364597697074c8d38ae2507f8730 \ - --hash=sha256:c33360cfc2edd976c2633b3b66c769bdcbbf0e0b6550606d188431c81e7dd1fc \ - --hash=sha256:d632f5417b6980f61404a125b999ca6ebd0b8b4bbdbb5fbbba44374ab619a412 \ - --hash=sha256:d72acfdb86cee2a32c0ce0101606f3758f0d8bb5f8f31e7920dc2809e963aa7c \ - --hash=sha256:d8bf6e1856ddd1807e79dc57e54d3335f2b62e6f316ed13ed3ecfe1fc1df3d8b \ - --hash=sha256:df41989d9300e6e3c19ec9f56f856187a6ef060c3662fe54f4b6baf1fc90bd19 \ - --hash=sha256:e08d7e6f21a617fe38eeb46dd2213ded43f27c072e9165dc27300c9ef9570934 \ - --hash=sha256:e0d81e9a12764b6f3879a866607c8ae93113cbcad57ce01ebde63eb48a576369 \ - --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d +torch==2.8.0 \ + --hash=sha256:06fcee8000e5c62a9f3e52a688b9c5abb7c6228d0e56e3452983416025c41381 \ + --hash=sha256:0be92c08b44009d4131d1ff7a8060d10bafdb7ddcb7359ef8d8c5169007ea905 \ + --hash=sha256:1a62a1ec4b0498930e2543535cf70b1bef8c777713de7ceb84cd79115f553767 \ + --hash=sha256:220a06fd7af8b653c35d359dfe1aaf32f65aa85befa342629f716acb134b9710 \ + --hash=sha256:2b2f96814e0345f5a5aed9bf9734efa913678ed19caf6dc2cddb7930672d6128 \ + --hash=sha256:2f4ac52f0130275d7517b03a33d2493bab3693c83dcfadf4f81688ea82147d2e \ + --hash=sha256:5128fe752a355d9308e56af1ad28b15266fe2da5948660fad44de9e3a9e36e8c \ + --hash=sha256:5ae0524688fb6707c57a530c2325e13bb0090b745ba7b4a2cd6a3ce262572916 \ + --hash=sha256:619c2869db3ada2c0105487ba21b5008defcc472d23f8b80ed91ac4a380283b0 \ + --hash=sha256:65616ca8ec6f43245e1f5f296603e33923f4c30f93d65e103d9e50c25b35150b \ + --hash=sha256:659df54119ae03e83a800addc125856effda88b016dfc54d9f65215c3975be16 \ + --hash=sha256:7b677e17f5a3e69fdef7eb3b9da72622f8d322692930297e4ccb52fefc6c8211 \ + --hash=sha256:83c13411a26fac3d101fe8035a6b0476ae606deb8688e904e796a3534c197def \ + --hash=sha256:89aa9ee820bb39d4d72b794345cccef106b574508dd17dbec457949678c76011 \ + --hash=sha256:8c7ef765e27551b2fbfc0f41bcf270e1292d9bf79f8e0724848b1682be6e80aa \ + --hash=sha256:8f0a9d617a66509ded240add3754e462430a6c1fc5589f86c17b433dd808f97a \ + --hash=sha256:a3f16a58a9a800f589b26d47ee15aca3acf065546137fc2af039876135f4c760 \ + --hash=sha256:a7242b86f42be98ac674b88a4988643b9bc6145437ec8f048fea23f72feb5eca \ + --hash=sha256:b2aca0939fb7e4d842561febbd4ffda67a8e958ff725c1c27e244e85e982173c \ + --hash=sha256:c12fa219f51a933d5f80eeb3a7a5d0cbe9168c0a14bbb4055f1979431660879b \ + --hash=sha256:da6afa31c13b669d4ba49d8a2169f0db2c3ec6bec4af898aa714f401d4c38904 \ + --hash=sha256:e2fab4153768d433f8ed9279c8133a114a034a61e77a3a104dcdf54388838705 \ + --hash=sha256:e8e5bf982e87e2b59d932769938b698858c64cc53753894be25629bdf5cf2f46 \ + --hash=sha256:e9f071f5b52a9f6970dc8a919694b27a91ae9dc08898b2b988abbef5eddfd1ae # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # compressed-tensors @@ -3531,59 +3556,59 @@ torch==2.7.1 \ # vllm # xformers # xgrammar -torchaudio==2.7.1 \ - --hash=sha256:0ae0678ad27355eebea5a9fdd9ae9bfec444f8405f9b6c60026905ba3665c43a \ - --hash=sha256:1850475ef9101ea0b3593fe93ff6ee4e7a20598f6da6510761220b9fe56eb7fa \ - --hash=sha256:18560955b8beb2a8d39a6bfae20a442337afcefb3dfd4ee007ce82233a796799 \ - --hash=sha256:1862b063d8d4e55cb4862bcbd63568545f549825a3c5605bd312224c3ebb1919 \ - --hash=sha256:271f717844e5c7f9e05c8328de817bf90f46d83281c791e94f54d4edea2f5817 \ - --hash=sha256:2ba4df6e3ad35cb1e5bd162cf86b492526138f6476f5a06b10725b8880c618eb \ - --hash=sha256:30e21f043f5cc50f703c2cf0de75633e2c720227f9bf848ffc9b8b987871b3fc \ - --hash=sha256:4739af57d0eb94347d1c6a1b5668be78a7383afe826dde18a04883b9f9f263b1 \ - --hash=sha256:53bc4ba12e7468be34a7ca2ee837ee5c8bd5755b25c12f665af9339cae37e265 \ - --hash=sha256:6bb1e6db22fa2aad6b89b2a455ec5c6dc31df2635dbfafa213394f8b07b09516 \ - --hash=sha256:9306dcfc4586cebd7647a93fe9a448e791c4f83934da616b9433b75597a1f978 \ - --hash=sha256:98257fc14dd493ba5a3258fb6d61d27cd64a48ee79537c3964c4da26b9bf295f \ - --hash=sha256:9cbcdaab77ad9a73711acffee58f4eebc8a0685289a938a3fa6f660af9489aee \ - --hash=sha256:9ce8aed225d5ce65705d30f6ef8e457d329fe6ea0b8729ad953ba99e87da264e \ - --hash=sha256:9cfb8f6ace8e01e2b89de74eb893ba5ce936b88b415383605b0a4d974009dec7 \ - --hash=sha256:a07100fe2cf7af4fa69d8cb046a2b74046612621a1a548afa5af1c69e02eaf81 \ - --hash=sha256:c089dbfc14c5f47091b7bf3f6bf2bbac93b86619299d04d9c102f4ad53758990 \ - --hash=sha256:c802e0dcbf38669007327bb52f065573cc5cac106eaca987f6e1a32e6282263a \ - --hash=sha256:d5a62f88c629035913f506df03f710c48fc8bb9637191933f27c67088d5ca136 \ - --hash=sha256:d66bd76b226fdd4135c97650e1b7eb63fb7659b4ed0e3a778898e41dbba21b61 \ - --hash=sha256:e5f0599a507f4683546878ed9667e1b32d7ca3c8a957e4c15c6b302378ef4dee \ - --hash=sha256:e8b2da11a7f7782b00b823c99e812eb00ee8b3455ad474f8fd42a0da0bc4f46a \ - --hash=sha256:edb4deaa6f95acd5522912ed643303d0b86d79a6f15914362f5a5d49baaf5d13 \ - --hash=sha256:f8bd69354a397753b9dea9699d9e1251f8496fbbdf3028c7086a57a615bf33c3 +torchaudio==2.8.0 \ + --hash=sha256:078105bf80f725c0215a0bebac8cb2fb1b3993ab32bdc3fcd50145a5b4127001 \ + --hash=sha256:09535a9b727c0793cd07c1ace99f3f353626281bcc3e30c2f2314e3ebc9d3f96 \ + --hash=sha256:1951f10ed092f2dda57634f6a3950ef21c9d9352551aa84a9fccd51bbda18095 \ + --hash=sha256:4573c6042950c20278e3608a9a38050ba0bc72e0049e1bbfd249caf859a8029b \ + --hash=sha256:4b82cacd1b8ccd543b1149d8cab257a40dfda8119023d2e3a96c66349c84bffb \ + --hash=sha256:4e2b4712ad6d7547ce82d84567c8c29d5e2966ff1d31d94e1644024fb4b2649f \ + --hash=sha256:4f7d97494698d98854129349b12061e8c3398d33bd84c929fa9aed5fd1389f73 \ + --hash=sha256:522289e2cd57e79401fd5ccae9b1bc0ff2e47f3529092adf5acf57427ea0c6a9 \ + --hash=sha256:58f912bf2d289c709b42a55475b2b483becec79d9affb7684b606bb1f896b434 \ + --hash=sha256:68df9c9068984edff8065c2b6656725e6114fe89281b0cf122c7505305fc98a4 \ + --hash=sha256:776c0b4ba84b9e3ddf6304b9c47cd63549d7896a6f3d5184ece074cc3d76ed6b \ + --hash=sha256:862e2e40bf09d865e5df080a84c1a39bbcef40e43140f4b1737eb3a389d3b38f \ + --hash=sha256:93a8583f280fe83ba021aa713319381ea71362cc87b67ee38e97a43cb2254aee \ + --hash=sha256:a1f4bde9ce9316b6b24304c73ea9f82a2aabc4dbf8c6c2598117ea7c6ecc4db2 \ + --hash=sha256:c1b5139c840367a7855a062a06688a416619f6fd2ca46d9b9299b49a7d133dfd \ + --hash=sha256:c2f44cf279f673cfcdd8f576c349eee8bedf8caab351a5dd78b32970cc34a212 \ + --hash=sha256:c9276857d241c6de257af765c0f51fc011af38cb725401495121b280913007cf \ + --hash=sha256:d2a85b124494736241884372fe1c6dd8c15e9bc1931bd325838c5c00238c7378 \ + --hash=sha256:d3c1b85b26a09832d139f6d6da6b66caeb51d2e16e08f8587665c44a9e1aa8f9 \ + --hash=sha256:d4a715d09ac28c920d031ee1e60ecbc91e8a5079ad8c61c0277e658436c821a6 \ + --hash=sha256:ddef94bf181e6447cbb05f38beaca8f6c5bb8d2b9ddced1aa3452025b9fc70d3 \ + --hash=sha256:e30b4741ec333dea78d012047c58305a1865a20ce74a3b8bc2d7b40de344dd02 \ + --hash=sha256:ef7f7ffa828b8d8ba5d3a569b825fc0469688e1e8962bf6577d538bd8af1387d \ + --hash=sha256:f851d32e94ca05e470f0c60e25726ec1e0eb71cb2ca5a0206b7fd03272ccc3c8 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm -torchvision==0.22.1 \ - --hash=sha256:043d9e35ed69c2e586aff6eb9e2887382e7863707115668ac9d140da58f42cba \ - --hash=sha256:153f1790e505bd6da123e21eee6e83e2e155df05c0fe7d56347303067d8543c5 \ - --hash=sha256:154a2bdc37a16122c2024f2f77e65f5986020b40c013515c694b5d357fac99a1 \ - --hash=sha256:2566cafcfa47ecfdbeed04bab8cef1307c8d4ef75046f7624b9e55f384880dfe \ - --hash=sha256:27142bcc8a984227a6dcf560985e83f52b82a7d3f5fe9051af586a2ccc46ef26 \ - --hash=sha256:3347f690c2eed6d02aa0edfb9b01d321e7f7cf1051992d96d8d196c39b881d49 \ - --hash=sha256:3b47d8369ee568c067795c0da0b4078f39a9dfea6f3bc1f3ac87530dfda1dd56 \ - --hash=sha256:4a614a6a408d2ed74208d0ea6c28a2fbb68290e9a7df206c5fef3f0b6865d307 \ - --hash=sha256:4addf626e2b57fc22fd6d329cf1346d474497672e6af8383b7b5b636fba94a53 \ - --hash=sha256:699c2d70d33951187f6ed910ea05720b9b4aaac1dcc1135f53162ce7d42481d3 \ - --hash=sha256:7414eeacfb941fa21acddcd725f1617da5630ec822e498660a4b864d7d998075 \ - --hash=sha256:75e0897da7a8e43d78632f66f2bdc4f6e26da8d3f021a7c0fa83746073c2597b \ - --hash=sha256:7ee682be589bb1a002b7704f06b8ec0b89e4b9068f48e79307d2c6e937a9fdf4 \ - --hash=sha256:86ad938f5a6ca645f0d5fb19484b1762492c2188c0ffb05c602e9e9945b7b371 \ - --hash=sha256:8b4a53a6067d63adba0c52f2b8dd2290db649d642021674ee43c0c922f0c6a69 \ - --hash=sha256:8be941b4d35c0aba819be70fdbbbed8ceb60401ce6996b8cfaaba1300ce62263 \ - --hash=sha256:964414eef19459d55a10e886e2fca50677550e243586d1678f65e3f6f6bac47a \ - --hash=sha256:990de4d657a41ed71680cd8be2e98ebcab55371f30993dc9bd2e676441f7180e \ - --hash=sha256:9c3ae3319624c43cc8127020f46c14aa878406781f0899bb6283ae474afeafbf \ - --hash=sha256:b7866a3b326413e67724ac46f1ee594996735e10521ba9e6cdbe0fa3cd98c2f2 \ - --hash=sha256:bb3f6df6f8fd415ce38ec4fd338376ad40c62e86052d7fc706a0dd51efac1718 \ - --hash=sha256:e01631046fda25a1eca2f58d5fdc9a152b93740eb82435cdb27c5151b8d20c02 \ - --hash=sha256:ef46e065502f7300ad6abc98554131c35dc4c837b978d91306658f1a65c00baa \ - --hash=sha256:ef7dee376f42900c0e7b0e34624f391d9ece70ab90ee74b42de0c1fffe371284 +torchvision==0.23.0 \ + --hash=sha256:01dc33ee24c79148aee7cdbcf34ae8a3c9da1674a591e781577b716d233b1fa6 \ + --hash=sha256:07d069cb29691ff566e3b7f11f20d91044f079e1dbdc9d72e0655899a9b06938 \ + --hash=sha256:09bfde260e7963a15b80c9e442faa9f021c7e7f877ac0a36ca6561b367185013 \ + --hash=sha256:1c37e325e09a184b730c3ef51424f383ec5745378dc0eca244520aca29722600 \ + --hash=sha256:2a3299d2b1d5a7aed2d3b6ffb69c672ca8830671967eb1cee1497bacd82fe47b \ + --hash=sha256:2df618e1143805a7673aaf82cb5720dd9112d4e771983156aaf2ffff692eebf9 \ + --hash=sha256:2f7fd6c15f3697e80627b77934f77705f3bc0e98278b989b2655de01f6903e1d \ + --hash=sha256:31c583ba27426a3a04eca8c05450524105c1564db41be6632f7536ef405a6de2 \ + --hash=sha256:35c27941831b653f5101edfe62c03d196c13f32139310519e8228f35eae0e96a \ + --hash=sha256:3932bf67256f2d095ce90a9f826f6033694c818856f4bb26794cf2ce64253e53 \ + --hash=sha256:49aa20e21f0c2bd458c71d7b449776cbd5f16693dd5807195a820612b8a229b7 \ + --hash=sha256:4e7d31c43bc7cbecbb1a5652ac0106b436aa66e26437585fc2c4b2cf04d6014c \ + --hash=sha256:6c74cbc1cbee26dd4f35f989cd80dccc40411f258dee476b29871dee4b483af0 \ + --hash=sha256:6dd7c4d329a0e03157803031bc856220c6155ef08c26d4f5bbac938acecf0948 \ + --hash=sha256:7266871daca00ad46d1c073e55d972179d12a58fa5c9adec9a3db9bbed71284a \ + --hash=sha256:76bc4c0b63d5114aa81281390f8472a12a6a35ce9906e67ea6044e5af4cab60c \ + --hash=sha256:83ee5bf827d61a8af14620c0a61d8608558638ac9c3bac8adb7b27138e2147d1 \ + --hash=sha256:a2e45272abe7b8bf0d06c405e78521b5757be1bd0ed7e5cd78120f7fdd4cbf35 \ + --hash=sha256:a76fafe113b2977be3a21bf78f115438c1f88631d7a87203acb3dd6ae55889e6 \ + --hash=sha256:a9e9d7552d34547b80843eaf64ab0737b19b2e8bec2514286b8cfd30861ca8b5 \ + --hash=sha256:b190db205f90206c230fc2f91cbdfd5733334babc0e0d19bddb90a40b8cf26c2 \ + --hash=sha256:b9e2dabf0da9c8aa9ea241afb63a8f3e98489e706b22ac3f30416a1be377153b \ + --hash=sha256:dc7ce5accbbb8c9df9a79f8cef6a6df042f28e2250a6ae0d2ca70b06473fa03b \ + --hash=sha256:e0e2c04a91403e8dd3af9756c6a024a1d9c0ed9c0d592a8314ded8f4fe30d440 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm @@ -3605,8 +3630,8 @@ transformers==4.55.2 \ # compressed-tensors # vllm # xgrammar -triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b +triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:e2b0afe420d202d96f50b847d744a487b780567975455e56f64b061152ee9554 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # torch @@ -3641,6 +3666,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -3722,9 +3748,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # -r python/requirements/llm/llm-requirements.txt @@ -3835,38 +3861,38 @@ websockets==15.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # uvicorn -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ - --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ - --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1de84a45c497c8d92326986508d81f4b0a8c6be4d3d62a29b8ad6048a6ab51e1 \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 \ + --hash=sha256:feb452bc2c8731da1c5d0e2e4536ba95bb214f77b41e91f24443c74d6f98a126 # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm -xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via # -c python/deplocks/llm/rayllm_test_py311_cu121.lock # vllm diff --git a/python/deplocks/llm/rayllm_py311_cu128.lock b/python/deplocks/llm/rayllm_py311_cu128.lock index 1af647c3d386..0040796dcf0a 100644 --- a/python/deplocks/llm/rayllm_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -508,9 +508,9 @@ colorful==0.5.5 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm @@ -780,6 +780,49 @@ filelock==3.17.0 \ # transformers # virtualenv # vllm +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via + # -c python/deplocks/llm/rayllm_test_py311_cu128.lock + # compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1263,9 +1306,9 @@ llvmlite==0.44.0 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm @@ -1727,79 +1770,80 @@ numpy==1.26.4 \ # transformers # vllm # xformers -nvidia-cublas-cu12==12.8.3.14 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3f0e05e7293598cf61933258b73e66a160c27d59c4422670bf0b79348c04be44 + # xgrammar +nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch -nvidia-cuda-cupti-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8e0b2eb847de260739bee4a3f66fac31378f4ff49538ff527a38a01a9a39f950 +nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cuda-nvrtc-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:a0fa9c2a21583105550ebd871bd76e2037205d56f33f128e69f6d2a55e0af9ed +nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cuda-runtime-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:75342e28567340b7428ce79a5d6bb6ca5ff9d07b69e7ce00d2c7b4dc23eff0be +nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cudnn-cu12==9.7.1.26 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6d011159a158f3cfc47bf851aea79e31bcff60d530b70ef70474c84cac484d07 +nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cufft-cu12==11.3.3.41 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:da650080ab79fcdf7a4b06aa1b460e99860646b176a43f6208099bdc17836b6a +nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cufile-cu12==1.13.0.11 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:483f434c541806936b98366f6d33caef5440572de8ddf38d453213729da3e7d4 +nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-curand-cu12==10.3.9.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8387d974240c91f6a60b761b83d4b2f9b938b7e0b9617bae0f0dafe4f5c36b86 +nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cusolver-cu12==11.7.2.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:4d1354102f1e922cee9db51920dba9e2559877cf6ff5ad03a00d853adafb191b +nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-cusparse-cu12==12.5.7.53 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3c1b61eb8c85257ea07e9354606b26397612627fdcd327bfd91ccf6155e7c86d +nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cusolver-cu12 # torch -nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 +nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 +nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adf27ccf4238253e0b826bce3ff5fa532d65fc42322c8bfdfaf28024c0fbe039 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch -nvidia-nvjitlink-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17 +nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch -nvidia-nvtx-cu12==12.8.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:2dd0780f1a55c21d8e06a743de5bd95653de630decfff40621dbde78cc307102 +nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch @@ -1885,48 +1929,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm @@ -3421,25 +3465,8 @@ tokenizers==0.21.1 \ # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # transformers # vllm -torch==2.7.1+cu128 \ - --hash=sha256:01d4745b4289d8a238c1741cae9920241fb1be199108c83002c661fc3e4d60da \ - --hash=sha256:0b64f7d0a6f2a739ed052ba959f7b67c677028c9566ce51997f9f90fe573ddaa \ - --hash=sha256:138c66dcd0ed2f07aafba3ed8b7958e2bed893694990e0b4b55b6b2b4a336aa6 \ - --hash=sha256:268e54db9f0bc2b7b9eb089852d3e592c2dea2facc3db494100c3d3b796549fa \ - --hash=sha256:2bb8c05d48ba815b316879a18195d53a6472a03e297d971e916753f8e1053d30 \ - --hash=sha256:3a0954c54fd7cb9f45beab1272dece2a05b0e77023c1da33ba32a7919661260f \ - --hash=sha256:500ad5b670483f62d4052e41948a3fb19e8c8de65b99f8d418d879cbb15a82d6 \ - --hash=sha256:5174f02de8ca14df87c8e333c4c39cf3ce93a323c9d470d690301d110a053b3c \ - --hash=sha256:738ac9b3ad79e62a21256e3d250cee858de955f93f89fab114da8d1919347d06 \ - --hash=sha256:9560425f9ea1af1791507e8ca70d5b9ecf62fed7ca226a95fcd58d0eb2cca78f \ - --hash=sha256:9eadb0a49ae383b2d20e059b8614485cf216f3ebd13c4f401daa917e9979254b \ - --hash=sha256:aca3472608e3c92df5166537595687b53a6c997082478b372427b043dbed98d0 \ - --hash=sha256:c301dc280458afd95450af794924c98fe07522dd148ff384739b810e3e3179f2 \ - --hash=sha256:c355db49c218ada70321d5c5c9bb3077312738b99113c8f3723ef596b554a7b9 \ - --hash=sha256:d56d29a6ad7758ba5173cc2b0c51c93e126e2b0a918e874101dc66545283967f \ - --hash=sha256:d6c3cba198dc93f93422a8545f48a6697890366e4b9701f54351fc27e2304bd3 \ - --hash=sha256:e27e5f7e74179fb5d814a0412e5026e4b50c9e0081e9050bc4c28c992a276eb1 \ - --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 +torch==2.8.0+cu128 \ + --hash=sha256:039b9dcdd6bdbaa10a8a5cd6be22c4cb3e3589a341e5f904cbb571ca28f55bed # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # compressed-tensors @@ -3449,35 +3476,35 @@ torch==2.7.1+cu128 \ # vllm # xformers # xgrammar -torchaudio==2.7.1+cu128 \ - --hash=sha256:0c144d5ffb4eec86c79ff1136abd91bd3f837f3042713795e10758aedc42dce8 \ - --hash=sha256:0c1d407f934d44f87935b139991d8872f81f88f8a6be9b7bd25918bf744e2be6 \ - --hash=sha256:170ca262fad47188ce35010fd34d5b3661c46a2c053383fd72ef653f713329ce \ - --hash=sha256:2ba0816eee659e343851a9c5dc60c8e1eb819a3969b29268fab27d3143273d78 \ - --hash=sha256:37a42de8c0f601dc0bc7dcccc4049644ef5adcf45920dd5813c339121e5b5a8c \ - --hash=sha256:456f3f3db40aa3dcdd1e19a4367a62452c30b46ede3a5ddfd316a034e383d63c \ - --hash=sha256:4586e3106701b06a4f9377f5c1da9e1d8555e16bd58fd7d810aa3f6cf50bd713 \ - --hash=sha256:7e97ea8a5d5e56108d1c071416613bc61a0e3531c2e6ba6a9b646232d6e41088 \ - --hash=sha256:84ec727f1fdafdf85dd1c018a6d3bfabeb5665b10e0b5f273a675eb730f59ce5 \ - --hash=sha256:84fb5c546faced5e835ff8edde419fa407513f7ff21cc05e2b4a8978463b16b7 \ - --hash=sha256:b1e56a999a06a5deaebfb991dc676aaa60d98139907d99badbc6dca6456637ee \ - --hash=sha256:cb435329019d441d8177db2d84e8d397881896d100efb4f4c15f0d3732f92a81 +torchaudio==2.8.0+cu128 \ + --hash=sha256:04b410f93337fc6c16576d0c88e2a31091aef9d1fd212ebb8cd26899dba175e0 \ + --hash=sha256:1054e0a7613cac54ed9b3784a5fcbe023748a70004d9cca74c5f9ae00a1fdfd1 \ + --hash=sha256:145b8a0c21cfcaa1705c67173c5d439087e0e120d5da9bc344746f937901d243 \ + --hash=sha256:3146bbd48992d215f6bb1aef9626d734c3180b377791ded2a4d4d2c0e63c0cc2 \ + --hash=sha256:362eda296bfcacddb3a4b2badc2bfb94ef096c5d5d245178c8a1ed94030610c7 \ + --hash=sha256:410bb8ea46225efe658e5d27a3802c181a2255913003621a5d25a51aca8018d9 \ + --hash=sha256:5d7a9d913e2744573ed3b7ec2f781ed39833c81c9c41859973ec10ac174c2366 \ + --hash=sha256:7a1eb6154e05b8056b34c7a41495e09d57f79eb0180eb4e7f3bb2a61845ca8ea \ + --hash=sha256:a0161e95285a0b716de210fee0392151d601e7da3cc86595008d826abff48a8c \ + --hash=sha256:cce3a60cd9a97f7360c8f95504ac349311fb7d6b9b826135936764f4de5f782d \ + --hash=sha256:d9066c69eec1f293c2ff0a805bf504737390ccbf6b77c8e67daf834db86fda45 \ + --hash=sha256:f4409df567d0723a7a3a89d32c7552a17e0ff6f137ea26a0d268c665259b2995 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm -torchvision==0.22.1+cu128 \ - --hash=sha256:02faf51fbf5070592768fa935327d13a484b745faef38b0fee01d85cfb35f5bc \ - --hash=sha256:51f25bc1d28b037d98a1415c917441726244d8a00971907e6dfb00eccc31365f \ - --hash=sha256:538f4db667286d939b4eee0a66d31ed21b51186668006b0e0ffe20338ecc7e00 \ - --hash=sha256:650561ba326d21021243f5e064133dc62dc64d52f79623db5cd76637a9665f96 \ - --hash=sha256:85ecd729c947151eccea502853be6efc2c0029dc26e6e5148e04684aed008390 \ - --hash=sha256:92568ac46b13a8c88b61589800b1b9c4629be091ea7ce080fc6fc622e11e0915 \ - --hash=sha256:ad48ba3c3ffd48027e3a8de42fcea131a53a524ee9416ca4efb22f9ac6b7328d \ - --hash=sha256:bc4fef193917b51db6b409acd3ffdec9286d877baac0aee5dcfbb72592d00bfc \ - --hash=sha256:d44d8bc41162167aa7b9eba0587362d007e84b7ecab5774972ad78eb4d30c004 \ - --hash=sha256:e5320bb2c9f69636f3dc18abc3291fe8c8e448cb9ef0112510a5413a5af3f8f2 \ - --hash=sha256:eb784cc75a66f3336a04ff3a992bf74160842132db69e8bdbb58b5ab9422c345 \ - --hash=sha256:f64ef9bb91d71ab35d8384912a19f7419e35928685bc67544d58f45148334373 +torchvision==0.23.0+cu128 \ + --hash=sha256:0d6ff6489eb71e4c0bb08cf7cb253298c2520458b1bd67036733652acfa87f00 \ + --hash=sha256:20fa9c7362a006776630b00b8a01919fedcf504a202b81358d32c5aef39956fe \ + --hash=sha256:460bc8d70f63bdb433a7351decc2c1ae1903f7f378e4a7614fc8e8c97a5c36aa \ + --hash=sha256:4cbc97e320d229929ec706f98edc926b68dc2fa9fb7785133c6bda2c5d163694 \ + --hash=sha256:70b3d8bfe04438006ec880c162b0e3aaac90c48b759aa41638dd714c732b182c \ + --hash=sha256:784fc90cb970e5a29b24b6441e461f5bf616846305b9793fa3870a9f296d4c0e \ + --hash=sha256:8ec6f2281ef5d52471b01b99eb04243d0c2cccb1972ba43217085025fe5a6c3f \ + --hash=sha256:91fd897fb6fefaf25ec56897391b448eff73f28a7e2ab7660886ece85c865ec6 \ + --hash=sha256:93f1b5f56b20cd6869bca40943de4fd3ca9ccc56e1b57f47c671de1cdab39cdb \ + --hash=sha256:9cb3c13997afcb44057ca10d943c6c4cba3068afde0f370965abce9c89fcffa9 \ + --hash=sha256:c63982f1973ba677b37e6663df0e07cb5381459b6f0572c2ca95eebd8dfeb742 \ + --hash=sha256:f69174bc69474bd4d1405bac3ebd35bb39c8267ce6b8a406070cb3149c72e3b8 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm @@ -3499,8 +3526,8 @@ transformers==4.55.2 \ # compressed-tensors # vllm # xgrammar -triton==3.3.1 ; sys_platform == 'linux' \ - --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b +triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:e2b0afe420d202d96f50b847d744a487b780567975455e56f64b061152ee9554 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # torch @@ -3534,6 +3561,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -3615,9 +3643,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # -r python/requirements/llm/llm-requirements.txt @@ -3728,36 +3756,36 @@ websockets==15.0.1 \ # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # uvicorn -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm -xgrammar==0.1.21 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via # -c python/deplocks/llm/rayllm_test_py311_cu128.lock # vllm diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index acbc353b49cb..678e8e8b4198 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -672,9 +672,9 @@ comm==0.2.0 \ # -c python/deplocks/llm/ray_test_py311_cpu.lock # ipykernel # ipywidgets -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -993,6 +993,47 @@ fqdn==1.5.1 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # jsonschema +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1814,9 +1855,9 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via vllm log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ @@ -2491,6 +2532,7 @@ numpy==1.26.4 \ # transformers # vllm # xformers + # xgrammar nvidia-ml-py==12.570.86 \ --hash=sha256:0508d4a0c7b6d015cf574530b95a62ed4fc89da3b8b47e1aefe6777db170ec8b \ --hash=sha256:58907de35a845abd13dcb227f18298f3b5dd94a72d04c9e594e77711e95c0b51 @@ -2578,48 +2620,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ @@ -4378,26 +4420,8 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.1+cpu \ - --hash=sha256:0bc887068772233f532b51a3e8c8cfc682ae62bef74bf4e0c53526c8b9e4138f \ - --hash=sha256:1f04a373a3f643821f721da9898ef77dce73b5b6bfc64486f0976f7fb5f90e83 \ - --hash=sha256:355614185a2aea7155f9c88a20bfd49de5f3063866f3cf9b2f21b6e9e59e31e0 \ - --hash=sha256:3bf2db5adf77b433844f080887ade049c4705ddf9fe1a32023ff84ff735aa5ad \ - --hash=sha256:464bca1bc9452f2ccd676514688896e66b9488f2a0268ecd3ac497cf09c5aac1 \ - --hash=sha256:56136a2aca6707df3c8811e46ea2d379eaafd18e656e2fd51e8e4d0ca995651b \ - --hash=sha256:5fe6045b8f426bf2d0426e4fe009f1667a954ec2aeb82f1bd0bf60c6d7a85445 \ - --hash=sha256:7b977eccbc85ae2bd19d6998de7b1f1f4bd3c04eaffd3015deb7934389783399 \ - --hash=sha256:84ea1f6a1d15663037d01b121d6e33bb9da3c90af8e069e5072c30f413455a57 \ - --hash=sha256:8f8b3cfc53010a4b4a3c7ecb88c212e9decc4f5eeb6af75c3c803937d2d60947 \ - --hash=sha256:a1684793e352f03fa14f78857e55d65de4ada8405ded1da2bf4f452179c4b779 \ - --hash=sha256:a2618775f32eb4126c5b2050686da52001a08cffa331637d9cf51c8250931e00 \ - --hash=sha256:a4551cb97b83df5f93fc0d7538332535828581e1db2f179afc287027afbdd6e8 \ - --hash=sha256:b4cc706973655151f198d027ed34c92ab31a3db55676b44251194e1280631426 \ - --hash=sha256:b66f77f6f67317344ee083aa7ac4751a14395fcb38060d564bf513978d267153 \ - --hash=sha256:c0df17cee97653d09a4e84488a33d21217f9b24208583c55cf28f0045aab0766 \ - --hash=sha256:d205cac087d60bc176bdc0b63a1d00dc7a4ee5ac76fd20a2ca318ac65674167e \ - --hash=sha256:d25435bdc4780d3cb512aad55142aca9584ae1fe8f8691cda6d32f19faf5d58e \ - --hash=sha256:eb17646792ac4374ffc87e42369f45d21eff17c790868963b90483ef0b6db4ef +torch==2.8.0+cpu \ + --hash=sha256:cb06175284673a581dd91fb1965662ae4ecaba6e5c357aa0ea7bb8b84b6b7eeb # via # compressed-tensors # nixl @@ -4406,33 +4430,33 @@ torch==2.7.1+cpu \ # vllm # xformers # xgrammar -torchaudio==2.7.1+cpu \ - --hash=sha256:2746064c15032e674d1bf6c6e1686f7a43184a8f065ee1f1bdb81c782e82537c \ - --hash=sha256:2ec85e79386c3e68ae67ac74033118253f0c7a64a8343a58b2df802e42ca9f74 \ - --hash=sha256:5856ce75fb0cfb2a0d8be4e3f9def122414f009aad4347161ad80f5b8f708fa4 \ - --hash=sha256:65bf843345ae05629b7f71609bab0808004dabfce6cf48ea508a5d4f5419ca74 \ - --hash=sha256:6d4855a0d40d700b6a20b5d2691cfc9ea2296419e3ab0442ee2a1e8d0b73242a \ - --hash=sha256:79b75d9f8dadad5da128fd6677fe717669ce580c0d54c8407792854ac8b97349 \ - --hash=sha256:a36569e17ff4519a21f2113e9a19a8def0d70e2fd9fabc9105ca57dee3809443 \ - --hash=sha256:a71ef774991658188721f53ebf05c8858b2baf0abb17b65bf447b294f3e63e2e \ - --hash=sha256:c6b82f209797d0b6e46c33a76facb39987141c453f85d9d0fa849363d47c2f42 \ - --hash=sha256:d7bd84b934f365e537e519838e9a5e7e6aef0d94e3d1419e8734f58b1142f326 \ - --hash=sha256:deb19d2a1cbbe49f9d14a9fe3dce65fef8dd98570aa8b6a65d7f5d1e0d16d0f3 \ - --hash=sha256:e169a2b62e55342f2f30e17640054707c8e339045a1ccc2db33517e9debb2767 +torchaudio==2.8.0+cpu \ + --hash=sha256:0c2d081e24204768e636cbf05e1377c8a6964b8ed6fa3aa5092ba9af9bbc19c5 \ + --hash=sha256:7e9a06f6dc73f98aff1a5540f8d6103b66e4c945c1d94612087954905f221171 \ + --hash=sha256:89c2d04fe1cb7c31eb042f7b36e1ce8e2afacf769ecd5f216527e184e4857099 \ + --hash=sha256:9377faee65a290578280ac7f4884c3586253dac2ca28c60f458ff6efe86a6b05 \ + --hash=sha256:9b302192b570657c1cc787a4d487ae4bbb7f2aab1c01b1fcc46757e7f86f391e \ + --hash=sha256:ab4653da31dc37f0a643f41f4da8bee647a8686bacf12d3929cac8aead186811 \ + --hash=sha256:c955835e470ebbde03d7d54ca5d8ba5722138bbfd66cfb86845234b3a5b9f9fa \ + --hash=sha256:db37df7eee906f8fe0a639fdc673f3541cb2e173169b16d4133447eb922d1938 \ + --hash=sha256:e1b1f530e8b71b1d079e23db45a0e621709061710ef8540aae8280aa039554ee \ + --hash=sha256:e54bd7fc9472019308097d99102df9acee22aa2451ae808d27840bc874320292 \ + --hash=sha256:e856b1abb280e1d961bdc12476bd38fc7eab8af720f9c903c95998dda069ae4c \ + --hash=sha256:e9e68f16f1afe108f0cb1c7d636d0242fdc43cbbcaab222a72a373b9d2799134 # via vllm -torchvision==0.22.1+cpu \ - --hash=sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8 \ - --hash=sha256:433cb4dbced7291f17064cea08ac1e5aebd02ec190e1c207d117ad62a8961f2b \ - --hash=sha256:445e442b94c365f7fd96596347c8a5a7fcfcbfca17a23baa8c9dcc8cb00fceee \ - --hash=sha256:4e0cbc165a472605d0c13da68ae22e84b17a6b815d5e600834777823e1bcb658 \ - --hash=sha256:9482adee074f60a45fd69892f7488281aadfda7836948c94b0a9b0caf55d1d67 \ - --hash=sha256:99788dd0d97ac8cdf25c74481e869e298626ffd8d6532defff6711f60516c88a \ - --hash=sha256:a93c21f18c33a819616b3dda7655aa4de40b219682c654175b6bbeb65ecc2e5f \ - --hash=sha256:ab7ae82529887c704c1b5d1d5198f65dc777d04fc3858b374503a6deedb82b19 \ - --hash=sha256:b2d1c4bdbfd8e6c779dc810a6171b56224f1332fc46986810d4081bed1633804 \ - --hash=sha256:b5fa7044bd82c6358e8229351c98070cf3a7bf4a6e89ea46352ae6c65745ef94 \ - --hash=sha256:c852e61bc903351169017e2e96389f28f6cfb52ca7c3945acceb31e7fe1b21e6 \ - --hash=sha256:e31f1273a8dd9760906288036ac3c8f5fef25eed393da0491db150d7be78910d +torchvision==0.23.0+cpu \ + --hash=sha256:474d77adbbbed5166db3e5636b4b4ae3399c66ef5bfa12536e254b32259c90c0 \ + --hash=sha256:51603eb071d0681abc4db98b10ff394ace31f425852e8de249b91c09c60eb19a \ + --hash=sha256:758fa965628ec53712fffdd866401329e8a5f2c5d36325b17aad771d2d2e3495 \ + --hash=sha256:82928788025170c62e7df1120dcdc0cd175bfc31c08374613ce6d1a040bc0cda \ + --hash=sha256:8d6a47e23d7896f0ef9aa7ea7179eb6324e82438aa66d19884c2020d0646b104 \ + --hash=sha256:a651ccc540cf4c87eb988730c59c2220c52b57adc276f044e7efb9830fa65a1d \ + --hash=sha256:ae459d4509d3b837b978dc6c66106601f916b6d2cda75c137e3f5f48324ce1da \ + --hash=sha256:bc6cee94bcc145d59426fd5289ca91e42cdb60e9886590f29d88f9f03c6bdea3 \ + --hash=sha256:c879590294471ffa6dca8ae2115c08351dde3b674fa271dd3b175f2de508a80a \ + --hash=sha256:d72ee52a73ca0a44f7d61729eb9de1b90b67230b71a496ff0d58b4255e6b88a9 \ + --hash=sha256:d83d8075db43b8ca89680bdeb2f100c832e2a3aa61ee42c038b1a146e5e511b6 \ + --hash=sha256:dea90a67d60a5366b0358a0b8d6bf267805278697d6fd950cf0e31139e56d1be # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4575,6 +4599,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -4668,9 +4693,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4880,39 +4905,37 @@ wrapt==1.14.1 \ # via # -c python/deplocks/llm/ray_test_py311_cpu.lock # -r python/requirements/cloud-requirements.txt -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ - --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ - --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1de84a45c497c8d92326986508d81f4b0a8c6be4d3d62a29b8ad6048a6ab51e1 \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 \ + --hash=sha256:feb452bc2c8731da1c5d0e2e4536ba95bb214f77b41e91f24443c74d6f98a126 + # via vllm +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via vllm -xgrammar==0.1.21 \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 - # via - # -r python/requirements/llm/llm-test-requirements.txt - # vllm y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index 17c70071f3fb..eb084707411c 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -672,9 +672,9 @@ comm==0.2.0 \ # -c python/deplocks/llm/ray_test_py311_cu121.lock # ipykernel # ipywidgets -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -993,6 +993,47 @@ fqdn==1.5.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # jsonschema +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1814,9 +1855,9 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via vllm log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ @@ -2491,100 +2532,82 @@ numpy==1.26.4 \ # transformers # vllm # xformers -nvidia-cublas-cu12==12.6.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb \ - --hash=sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668 \ - --hash=sha256:9e4fa264f4d8a4eb0cdbd34beadc029f453b3bafae02401e999cf3d5a5af75f8 + # xgrammar +nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:47e9b82132fa8d2b4944e708049229601448aaad7e6f296f630f2d1a32de35af \ + --hash=sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142 \ + --hash=sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0 # via # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch -nvidia-cuda-cupti-cu12==12.6.80 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:166ee35a3ff1587f2490364f90eeeb8da06cd867bd5b701bf7f9a02b78bc63fc \ - --hash=sha256:358b4a1d35370353d52e12f0a7d1769fc01ff74a191689d3870b2123156184c4 \ - --hash=sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132 \ - --hash=sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73 \ - --hash=sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a +nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed \ + --hash=sha256:bb479dcdf7e6d4f8b0b01b115260399bf34154a1a2e9fe11c85c517d87efd98e \ + --hash=sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182 # via torch -nvidia-cuda-nvrtc-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53 \ - --hash=sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13 \ - --hash=sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a +nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:7a4b6b2904850fe78e0bd179c4b655c404d4bb799ef03ddc60804247099ae909 \ + --hash=sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994 \ + --hash=sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8 # via torch -nvidia-cuda-runtime-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd \ - --hash=sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f \ - --hash=sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8 \ - --hash=sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7 \ - --hash=sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e +nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d \ + --hash=sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90 \ + --hash=sha256:c0c6027f01505bfed6c3b21ec546f69c687689aad5f1a377554bc6ca4aa993a8 # via torch -nvidia-cudnn-cu12==9.5.1.17 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2 \ - --hash=sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def \ - --hash=sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8 +nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8 # via torch -nvidia-cufft-cu12==11.3.0.4 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464 \ - --hash=sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca \ - --hash=sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb \ - --hash=sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5 \ - --hash=sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6 +nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74 \ + --hash=sha256:7a64a98ef2a7c47f905aaf8931b69a3a43f27c55530c698bb2ed7c75c0b42cb7 \ + --hash=sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a # via torch -nvidia-cufile-cu12==1.11.1.6 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db \ - --hash=sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159 +nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc \ + --hash=sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a # via torch -nvidia-curand-cu12==10.3.7.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905 \ - --hash=sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8 \ - --hash=sha256:7b2ed8e95595c3591d984ea3603dd66fe6ce6812b886d59049988a712ed06b6e \ - --hash=sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117 \ - --hash=sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf +nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9 \ + --hash=sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd \ + --hash=sha256:f149a8ca457277da854f89cf282d6ef43176861926c7ac85b2a0fbd237c587ec # via torch -nvidia-cusolver-cu12==11.7.1.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0 \ - --hash=sha256:6813f9d8073f555444a8705f3ab0296d3e1cb37a16d694c5fc8b862a0d8706d7 \ - --hash=sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6 \ - --hash=sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e \ - --hash=sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c +nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450 \ + --hash=sha256:4a550db115fcabc4d495eb7d39ac8b58d4ab5d8e63274d3754df1c0ad6a22d34 \ + --hash=sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0 # via torch -nvidia-cusparse-cu12==12.5.4.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f \ - --hash=sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20 \ - --hash=sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73 \ - --hash=sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1 \ - --hash=sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887 +nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b \ + --hash=sha256:9a33604331cb2cac199f2e7f5104dfbb8a5a898c367a53dfda9ff2acb6b6b4dd \ + --hash=sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc # via # nvidia-cusolver-cu12 # torch -nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7 \ - --hash=sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1 \ - --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 +nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623 # via torch nvidia-ml-py==12.570.86 \ --hash=sha256:0508d4a0c7b6d015cf574530b95a62ed4fc89da3b8b47e1aefe6777db170ec8b \ --hash=sha256:58907de35a845abd13dcb227f18298f3b5dd94a72d04c9e594e77711e95c0b51 # via pynvml -nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522 \ - --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 +nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adf27ccf4238253e0b826bce3ff5fa532d65fc42322c8bfdfaf28024c0fbe039 # via torch -nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41 \ - --hash=sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c \ - --hash=sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a +nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88 \ + --hash=sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7 \ + --hash=sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f # via # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch -nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:2fb11a4af04a5e6c84073e6404d26588a34afd35379f0855a99797897efa75c0 \ - --hash=sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1 \ - --hash=sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059 \ - --hash=sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2 \ - --hash=sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b +nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f \ + --hash=sha256:619c8304aedc69f02ea82dd244541a83c3d9d40993381b3b590f1adaed3db41e \ + --hash=sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615 # via torch oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ @@ -2669,48 +2692,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ @@ -4469,31 +4492,31 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.1 \ - --hash=sha256:03563603d931e70722dce0e11999d53aa80a375a3d78e6b39b9f6805ea0a8d28 \ - --hash=sha256:06eea61f859436622e78dd0cdd51dbc8f8c6d76917a9cf0555a333f9eac31ec1 \ - --hash=sha256:0da4f4dba9f65d0d203794e619fe7ca3247a55ffdcbd17ae8fb83c8b2dc9b585 \ - --hash=sha256:23660443e13995ee93e3d844786701ea4ca69f337027b05182f5ba053ce43b38 \ - --hash=sha256:236f501f2e383f1cb861337bdf057712182f910f10aeaf509065d54d339e49b2 \ - --hash=sha256:27ea1e518df4c9de73af7e8a720770f3628e7f667280bce2be7a16292697e3fa \ - --hash=sha256:30207f672328a42df4f2174b8f426f354b2baa0b7cca3a0adb3d6ab5daf00dc8 \ - --hash=sha256:787687087412c4bd68d315e39bc1223f08aae1d16a9e9771d95eabbb04ae98fb \ - --hash=sha256:79042feca1c634aaf6603fe6feea8c6b30dfa140a6bbc0b973e2260c7e79a22e \ - --hash=sha256:8273145a2e0a3c6f9fd2ac36762d6ee89c26d430e612b95a99885df083b04e52 \ - --hash=sha256:8394833c44484547ed4a47162318337b88c97acdb3273d85ea06e03ffff44998 \ - --hash=sha256:885453d6fba67d9991132143bf7fa06b79b24352f4506fd4d10b309f53454162 \ - --hash=sha256:988b0cbc4333618a1056d2ebad9eb10089637b659eb645434d0809d8d937b946 \ - --hash=sha256:a103b5d782af5bd119b81dbcc7ffc6fa09904c423ff8db397a1e6ea8fd71508f \ - --hash=sha256:a737b5edd1c44a5c1ece2e9f3d00df9d1b3fb9541138bee56d83d38293fb6c9d \ - --hash=sha256:aea4fc1bf433d12843eb2c6b2204861f43d8364597697074c8d38ae2507f8730 \ - --hash=sha256:c33360cfc2edd976c2633b3b66c769bdcbbf0e0b6550606d188431c81e7dd1fc \ - --hash=sha256:d632f5417b6980f61404a125b999ca6ebd0b8b4bbdbb5fbbba44374ab619a412 \ - --hash=sha256:d72acfdb86cee2a32c0ce0101606f3758f0d8bb5f8f31e7920dc2809e963aa7c \ - --hash=sha256:d8bf6e1856ddd1807e79dc57e54d3335f2b62e6f316ed13ed3ecfe1fc1df3d8b \ - --hash=sha256:df41989d9300e6e3c19ec9f56f856187a6ef060c3662fe54f4b6baf1fc90bd19 \ - --hash=sha256:e08d7e6f21a617fe38eeb46dd2213ded43f27c072e9165dc27300c9ef9570934 \ - --hash=sha256:e0d81e9a12764b6f3879a866607c8ae93113cbcad57ce01ebde63eb48a576369 \ - --hash=sha256:fe955951bdf32d182ee8ead6c3186ad54781492bf03d547d31771a01b3d6fb7d +torch==2.8.0 \ + --hash=sha256:06fcee8000e5c62a9f3e52a688b9c5abb7c6228d0e56e3452983416025c41381 \ + --hash=sha256:0be92c08b44009d4131d1ff7a8060d10bafdb7ddcb7359ef8d8c5169007ea905 \ + --hash=sha256:1a62a1ec4b0498930e2543535cf70b1bef8c777713de7ceb84cd79115f553767 \ + --hash=sha256:220a06fd7af8b653c35d359dfe1aaf32f65aa85befa342629f716acb134b9710 \ + --hash=sha256:2b2f96814e0345f5a5aed9bf9734efa913678ed19caf6dc2cddb7930672d6128 \ + --hash=sha256:2f4ac52f0130275d7517b03a33d2493bab3693c83dcfadf4f81688ea82147d2e \ + --hash=sha256:5128fe752a355d9308e56af1ad28b15266fe2da5948660fad44de9e3a9e36e8c \ + --hash=sha256:5ae0524688fb6707c57a530c2325e13bb0090b745ba7b4a2cd6a3ce262572916 \ + --hash=sha256:619c2869db3ada2c0105487ba21b5008defcc472d23f8b80ed91ac4a380283b0 \ + --hash=sha256:65616ca8ec6f43245e1f5f296603e33923f4c30f93d65e103d9e50c25b35150b \ + --hash=sha256:659df54119ae03e83a800addc125856effda88b016dfc54d9f65215c3975be16 \ + --hash=sha256:7b677e17f5a3e69fdef7eb3b9da72622f8d322692930297e4ccb52fefc6c8211 \ + --hash=sha256:83c13411a26fac3d101fe8035a6b0476ae606deb8688e904e796a3534c197def \ + --hash=sha256:89aa9ee820bb39d4d72b794345cccef106b574508dd17dbec457949678c76011 \ + --hash=sha256:8c7ef765e27551b2fbfc0f41bcf270e1292d9bf79f8e0724848b1682be6e80aa \ + --hash=sha256:8f0a9d617a66509ded240add3754e462430a6c1fc5589f86c17b433dd808f97a \ + --hash=sha256:a3f16a58a9a800f589b26d47ee15aca3acf065546137fc2af039876135f4c760 \ + --hash=sha256:a7242b86f42be98ac674b88a4988643b9bc6145437ec8f048fea23f72feb5eca \ + --hash=sha256:b2aca0939fb7e4d842561febbd4ffda67a8e958ff725c1c27e244e85e982173c \ + --hash=sha256:c12fa219f51a933d5f80eeb3a7a5d0cbe9168c0a14bbb4055f1979431660879b \ + --hash=sha256:da6afa31c13b669d4ba49d8a2169f0db2c3ec6bec4af898aa714f401d4c38904 \ + --hash=sha256:e2fab4153768d433f8ed9279c8133a114a034a61e77a3a104dcdf54388838705 \ + --hash=sha256:e8e5bf982e87e2b59d932769938b698858c64cc53753894be25629bdf5cf2f46 \ + --hash=sha256:e9f071f5b52a9f6970dc8a919694b27a91ae9dc08898b2b988abbef5eddfd1ae # via # compressed-tensors # nixl @@ -4502,57 +4525,57 @@ torch==2.7.1 \ # vllm # xformers # xgrammar -torchaudio==2.7.1 \ - --hash=sha256:0ae0678ad27355eebea5a9fdd9ae9bfec444f8405f9b6c60026905ba3665c43a \ - --hash=sha256:1850475ef9101ea0b3593fe93ff6ee4e7a20598f6da6510761220b9fe56eb7fa \ - --hash=sha256:18560955b8beb2a8d39a6bfae20a442337afcefb3dfd4ee007ce82233a796799 \ - --hash=sha256:1862b063d8d4e55cb4862bcbd63568545f549825a3c5605bd312224c3ebb1919 \ - --hash=sha256:271f717844e5c7f9e05c8328de817bf90f46d83281c791e94f54d4edea2f5817 \ - --hash=sha256:2ba4df6e3ad35cb1e5bd162cf86b492526138f6476f5a06b10725b8880c618eb \ - --hash=sha256:30e21f043f5cc50f703c2cf0de75633e2c720227f9bf848ffc9b8b987871b3fc \ - --hash=sha256:4739af57d0eb94347d1c6a1b5668be78a7383afe826dde18a04883b9f9f263b1 \ - --hash=sha256:53bc4ba12e7468be34a7ca2ee837ee5c8bd5755b25c12f665af9339cae37e265 \ - --hash=sha256:6bb1e6db22fa2aad6b89b2a455ec5c6dc31df2635dbfafa213394f8b07b09516 \ - --hash=sha256:9306dcfc4586cebd7647a93fe9a448e791c4f83934da616b9433b75597a1f978 \ - --hash=sha256:98257fc14dd493ba5a3258fb6d61d27cd64a48ee79537c3964c4da26b9bf295f \ - --hash=sha256:9cbcdaab77ad9a73711acffee58f4eebc8a0685289a938a3fa6f660af9489aee \ - --hash=sha256:9ce8aed225d5ce65705d30f6ef8e457d329fe6ea0b8729ad953ba99e87da264e \ - --hash=sha256:9cfb8f6ace8e01e2b89de74eb893ba5ce936b88b415383605b0a4d974009dec7 \ - --hash=sha256:a07100fe2cf7af4fa69d8cb046a2b74046612621a1a548afa5af1c69e02eaf81 \ - --hash=sha256:c089dbfc14c5f47091b7bf3f6bf2bbac93b86619299d04d9c102f4ad53758990 \ - --hash=sha256:c802e0dcbf38669007327bb52f065573cc5cac106eaca987f6e1a32e6282263a \ - --hash=sha256:d5a62f88c629035913f506df03f710c48fc8bb9637191933f27c67088d5ca136 \ - --hash=sha256:d66bd76b226fdd4135c97650e1b7eb63fb7659b4ed0e3a778898e41dbba21b61 \ - --hash=sha256:e5f0599a507f4683546878ed9667e1b32d7ca3c8a957e4c15c6b302378ef4dee \ - --hash=sha256:e8b2da11a7f7782b00b823c99e812eb00ee8b3455ad474f8fd42a0da0bc4f46a \ - --hash=sha256:edb4deaa6f95acd5522912ed643303d0b86d79a6f15914362f5a5d49baaf5d13 \ - --hash=sha256:f8bd69354a397753b9dea9699d9e1251f8496fbbdf3028c7086a57a615bf33c3 +torchaudio==2.8.0 \ + --hash=sha256:078105bf80f725c0215a0bebac8cb2fb1b3993ab32bdc3fcd50145a5b4127001 \ + --hash=sha256:09535a9b727c0793cd07c1ace99f3f353626281bcc3e30c2f2314e3ebc9d3f96 \ + --hash=sha256:1951f10ed092f2dda57634f6a3950ef21c9d9352551aa84a9fccd51bbda18095 \ + --hash=sha256:4573c6042950c20278e3608a9a38050ba0bc72e0049e1bbfd249caf859a8029b \ + --hash=sha256:4b82cacd1b8ccd543b1149d8cab257a40dfda8119023d2e3a96c66349c84bffb \ + --hash=sha256:4e2b4712ad6d7547ce82d84567c8c29d5e2966ff1d31d94e1644024fb4b2649f \ + --hash=sha256:4f7d97494698d98854129349b12061e8c3398d33bd84c929fa9aed5fd1389f73 \ + --hash=sha256:522289e2cd57e79401fd5ccae9b1bc0ff2e47f3529092adf5acf57427ea0c6a9 \ + --hash=sha256:58f912bf2d289c709b42a55475b2b483becec79d9affb7684b606bb1f896b434 \ + --hash=sha256:68df9c9068984edff8065c2b6656725e6114fe89281b0cf122c7505305fc98a4 \ + --hash=sha256:776c0b4ba84b9e3ddf6304b9c47cd63549d7896a6f3d5184ece074cc3d76ed6b \ + --hash=sha256:862e2e40bf09d865e5df080a84c1a39bbcef40e43140f4b1737eb3a389d3b38f \ + --hash=sha256:93a8583f280fe83ba021aa713319381ea71362cc87b67ee38e97a43cb2254aee \ + --hash=sha256:a1f4bde9ce9316b6b24304c73ea9f82a2aabc4dbf8c6c2598117ea7c6ecc4db2 \ + --hash=sha256:c1b5139c840367a7855a062a06688a416619f6fd2ca46d9b9299b49a7d133dfd \ + --hash=sha256:c2f44cf279f673cfcdd8f576c349eee8bedf8caab351a5dd78b32970cc34a212 \ + --hash=sha256:c9276857d241c6de257af765c0f51fc011af38cb725401495121b280913007cf \ + --hash=sha256:d2a85b124494736241884372fe1c6dd8c15e9bc1931bd325838c5c00238c7378 \ + --hash=sha256:d3c1b85b26a09832d139f6d6da6b66caeb51d2e16e08f8587665c44a9e1aa8f9 \ + --hash=sha256:d4a715d09ac28c920d031ee1e60ecbc91e8a5079ad8c61c0277e658436c821a6 \ + --hash=sha256:ddef94bf181e6447cbb05f38beaca8f6c5bb8d2b9ddced1aa3452025b9fc70d3 \ + --hash=sha256:e30b4741ec333dea78d012047c58305a1865a20ce74a3b8bc2d7b40de344dd02 \ + --hash=sha256:ef7f7ffa828b8d8ba5d3a569b825fc0469688e1e8962bf6577d538bd8af1387d \ + --hash=sha256:f851d32e94ca05e470f0c60e25726ec1e0eb71cb2ca5a0206b7fd03272ccc3c8 # via vllm -torchvision==0.22.1 \ - --hash=sha256:043d9e35ed69c2e586aff6eb9e2887382e7863707115668ac9d140da58f42cba \ - --hash=sha256:153f1790e505bd6da123e21eee6e83e2e155df05c0fe7d56347303067d8543c5 \ - --hash=sha256:154a2bdc37a16122c2024f2f77e65f5986020b40c013515c694b5d357fac99a1 \ - --hash=sha256:2566cafcfa47ecfdbeed04bab8cef1307c8d4ef75046f7624b9e55f384880dfe \ - --hash=sha256:27142bcc8a984227a6dcf560985e83f52b82a7d3f5fe9051af586a2ccc46ef26 \ - --hash=sha256:3347f690c2eed6d02aa0edfb9b01d321e7f7cf1051992d96d8d196c39b881d49 \ - --hash=sha256:3b47d8369ee568c067795c0da0b4078f39a9dfea6f3bc1f3ac87530dfda1dd56 \ - --hash=sha256:4a614a6a408d2ed74208d0ea6c28a2fbb68290e9a7df206c5fef3f0b6865d307 \ - --hash=sha256:4addf626e2b57fc22fd6d329cf1346d474497672e6af8383b7b5b636fba94a53 \ - --hash=sha256:699c2d70d33951187f6ed910ea05720b9b4aaac1dcc1135f53162ce7d42481d3 \ - --hash=sha256:7414eeacfb941fa21acddcd725f1617da5630ec822e498660a4b864d7d998075 \ - --hash=sha256:75e0897da7a8e43d78632f66f2bdc4f6e26da8d3f021a7c0fa83746073c2597b \ - --hash=sha256:7ee682be589bb1a002b7704f06b8ec0b89e4b9068f48e79307d2c6e937a9fdf4 \ - --hash=sha256:86ad938f5a6ca645f0d5fb19484b1762492c2188c0ffb05c602e9e9945b7b371 \ - --hash=sha256:8b4a53a6067d63adba0c52f2b8dd2290db649d642021674ee43c0c922f0c6a69 \ - --hash=sha256:8be941b4d35c0aba819be70fdbbbed8ceb60401ce6996b8cfaaba1300ce62263 \ - --hash=sha256:964414eef19459d55a10e886e2fca50677550e243586d1678f65e3f6f6bac47a \ - --hash=sha256:990de4d657a41ed71680cd8be2e98ebcab55371f30993dc9bd2e676441f7180e \ - --hash=sha256:9c3ae3319624c43cc8127020f46c14aa878406781f0899bb6283ae474afeafbf \ - --hash=sha256:b7866a3b326413e67724ac46f1ee594996735e10521ba9e6cdbe0fa3cd98c2f2 \ - --hash=sha256:bb3f6df6f8fd415ce38ec4fd338376ad40c62e86052d7fc706a0dd51efac1718 \ - --hash=sha256:e01631046fda25a1eca2f58d5fdc9a152b93740eb82435cdb27c5151b8d20c02 \ - --hash=sha256:ef46e065502f7300ad6abc98554131c35dc4c837b978d91306658f1a65c00baa \ - --hash=sha256:ef7dee376f42900c0e7b0e34624f391d9ece70ab90ee74b42de0c1fffe371284 +torchvision==0.23.0 \ + --hash=sha256:01dc33ee24c79148aee7cdbcf34ae8a3c9da1674a591e781577b716d233b1fa6 \ + --hash=sha256:07d069cb29691ff566e3b7f11f20d91044f079e1dbdc9d72e0655899a9b06938 \ + --hash=sha256:09bfde260e7963a15b80c9e442faa9f021c7e7f877ac0a36ca6561b367185013 \ + --hash=sha256:1c37e325e09a184b730c3ef51424f383ec5745378dc0eca244520aca29722600 \ + --hash=sha256:2a3299d2b1d5a7aed2d3b6ffb69c672ca8830671967eb1cee1497bacd82fe47b \ + --hash=sha256:2df618e1143805a7673aaf82cb5720dd9112d4e771983156aaf2ffff692eebf9 \ + --hash=sha256:2f7fd6c15f3697e80627b77934f77705f3bc0e98278b989b2655de01f6903e1d \ + --hash=sha256:31c583ba27426a3a04eca8c05450524105c1564db41be6632f7536ef405a6de2 \ + --hash=sha256:35c27941831b653f5101edfe62c03d196c13f32139310519e8228f35eae0e96a \ + --hash=sha256:3932bf67256f2d095ce90a9f826f6033694c818856f4bb26794cf2ce64253e53 \ + --hash=sha256:49aa20e21f0c2bd458c71d7b449776cbd5f16693dd5807195a820612b8a229b7 \ + --hash=sha256:4e7d31c43bc7cbecbb1a5652ac0106b436aa66e26437585fc2c4b2cf04d6014c \ + --hash=sha256:6c74cbc1cbee26dd4f35f989cd80dccc40411f258dee476b29871dee4b483af0 \ + --hash=sha256:6dd7c4d329a0e03157803031bc856220c6155ef08c26d4f5bbac938acecf0948 \ + --hash=sha256:7266871daca00ad46d1c073e55d972179d12a58fa5c9adec9a3db9bbed71284a \ + --hash=sha256:76bc4c0b63d5114aa81281390f8472a12a6a35ce9906e67ea6044e5af4cab60c \ + --hash=sha256:83ee5bf827d61a8af14620c0a61d8608558638ac9c3bac8adb7b27138e2147d1 \ + --hash=sha256:a2e45272abe7b8bf0d06c405e78521b5757be1bd0ed7e5cd78120f7fdd4cbf35 \ + --hash=sha256:a76fafe113b2977be3a21bf78f115438c1f88631d7a87203acb3dd6ae55889e6 \ + --hash=sha256:a9e9d7552d34547b80843eaf64ab0737b19b2e8bec2514286b8cfd30861ca8b5 \ + --hash=sha256:b190db205f90206c230fc2f91cbdfd5733334babc0e0d19bddb90a40b8cf26c2 \ + --hash=sha256:b9e2dabf0da9c8aa9ea241afb63a8f3e98489e706b22ac3f30416a1be377153b \ + --hash=sha256:dc7ce5accbbb8c9df9a79f8cef6a6df042f28e2250a6ae0d2ca70b06473fa03b \ + --hash=sha256:e0e2c04a91403e8dd3af9756c6a024a1d9c0ed9c0d592a8314ded8f4fe30d440 # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4642,8 +4665,8 @@ transformers==4.55.2 \ # compressed-tensors # vllm # xgrammar -triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b +triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:e2b0afe420d202d96f50b847d744a487b780567975455e56f64b061152ee9554 # via # torch # xgrammar @@ -4686,6 +4709,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -4779,9 +4803,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4991,39 +5015,37 @@ wrapt==1.14.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu121.lock # -r python/requirements/cloud-requirements.txt -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4 \ - --hash=sha256:3fccb159c6327c13fc1b08f8b963c2779ca526e2e50755dee9bcc1bac67d20c6 \ - --hash=sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76 +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1de84a45c497c8d92326986508d81f4b0a8c6be4d3d62a29b8ad6048a6ab51e1 \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 \ + --hash=sha256:feb452bc2c8731da1c5d0e2e4536ba95bb214f77b41e91f24443c74d6f98a126 + # via vllm +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via vllm -xgrammar==0.1.21 \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 - # via - # -r python/requirements/llm/llm-test-requirements.txt - # vllm y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index 51ce2f2ab445..ffb192011605 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -671,9 +671,9 @@ comm==0.2.0 \ # -c python/deplocks/llm/ray_test_py311_cu128.lock # ipykernel # ipywidgets -compressed-tensors==0.10.2 \ - --hash=sha256:6de13ac535d7ffdd8890fad3d229444c33076170acaa8fab6bab8ecfa96c1d8f \ - --hash=sha256:e1b4d9bc2006e3fd3a938e59085f318fdb280c5af64688a4792bf1bc263e579d +compressed-tensors==0.11.0 \ + --hash=sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f \ + --hash=sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83 # via vllm cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -992,6 +992,47 @@ fqdn==1.5.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # jsonschema +frozendict==2.4.6 \ + --hash=sha256:02331541611f3897f260900a1815b63389654951126e6e65545e529b63c08361 \ + --hash=sha256:0aaa11e7c472150efe65adbcd6c17ac0f586896096ab3963775e1c5c58ac0098 \ + --hash=sha256:18d50a2598350b89189da9150058191f55057581e40533e470db46c942373acf \ + --hash=sha256:1b4a3f8f6dd51bee74a50995c39b5a606b612847862203dd5483b9cd91b0d36a \ + --hash=sha256:1f42e6b75254ea2afe428ad6d095b62f95a7ae6d4f8272f0bd44a25dddd20f67 \ + --hash=sha256:2d69418479bfb834ba75b0e764f058af46ceee3d655deb6a0dd0c0c1a5e82f09 \ + --hash=sha256:323f1b674a2cc18f86ab81698e22aba8145d7a755e0ac2cccf142ee2db58620d \ + --hash=sha256:377a65be0a700188fc21e669c07de60f4f6d35fae8071c292b7df04776a1c27b \ + --hash=sha256:49344abe90fb75f0f9fdefe6d4ef6d4894e640fadab71f11009d52ad97f370b9 \ + --hash=sha256:49ffaf09241bc1417daa19362a2241a4aa435f758fd4375c39ce9790443a39cd \ + --hash=sha256:622301b1c29c4f9bba633667d592a3a2b093cb408ba3ce578b8901ace3931ef3 \ + --hash=sha256:665fad3f0f815aa41294e561d98dbedba4b483b3968e7e8cab7d728d64b96e33 \ + --hash=sha256:669237c571856be575eca28a69e92a3d18f8490511eff184937283dc6093bd67 \ + --hash=sha256:7088102345d1606450bd1801a61139bbaa2cb0d805b9b692f8d81918ea835da6 \ + --hash=sha256:7134a2bb95d4a16556bb5f2b9736dceb6ea848fa5b6f3f6c2d6dba93b44b4757 \ + --hash=sha256:7291abacf51798d5ffe632771a69c14fb423ab98d63c4ccd1aa382619afe2f89 \ + --hash=sha256:74b6b26c15dddfefddeb89813e455b00ebf78d0a3662b89506b4d55c6445a9f4 \ + --hash=sha256:7730f8ebe791d147a1586cbf6a42629351d4597773317002181b66a2da0d509e \ + --hash=sha256:807862e14b0e9665042458fde692c4431d660c4219b9bb240817f5b918182222 \ + --hash=sha256:94321e646cc39bebc66954a31edd1847d3a2a3483cf52ff051cd0996e7db07db \ + --hash=sha256:9647c74efe3d845faa666d4853cfeabbaee403b53270cabfc635b321f770e6b8 \ + --hash=sha256:9a8a43036754a941601635ea9c788ebd7a7efbed2becba01b54a887b41b175b9 \ + --hash=sha256:a4e3737cb99ed03200cd303bdcd5514c9f34b29ee48f405c1184141bd68611c9 \ + --hash=sha256:a76cee5c4be2a5d1ff063188232fffcce05dde6fd5edd6afe7b75b247526490e \ + --hash=sha256:b8f2829048f29fe115da4a60409be2130e69402e29029339663fac39c90e6e2b \ + --hash=sha256:ba5ef7328706db857a2bdb2c2a17b4cd37c32a19c017cff1bb7eeebc86b0f411 \ + --hash=sha256:c131f10c4d3906866454c4e89b87a7e0027d533cce8f4652aa5255112c4d6677 \ + --hash=sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f \ + --hash=sha256:c9905dcf7aa659e6a11b8051114c9fa76dfde3a6e50e6dc129d5aece75b449a2 \ + --hash=sha256:ce1e9217b85eec6ba9560d520d5089c82dbb15f977906eb345d81459723dd7e3 \ + --hash=sha256:d065db6a44db2e2375c23eac816f1a022feb2fa98cbb50df44a9e83700accbea \ + --hash=sha256:da6a10164c8a50b34b9ab508a9420df38f4edf286b9ca7b7df8a91767baecb34 \ + --hash=sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e \ + --hash=sha256:e72fb86e48811957d66ffb3e95580af7b1af1e6fbd760ad63d7bd79b2c9a07f8 \ + --hash=sha256:eabd21d8e5db0c58b60d26b4bb9839cac13132e88277e1376970172a85ee04b3 \ + --hash=sha256:eddabeb769fab1e122d3a6872982c78179b5bcc909fdc769f3cf1964f55a6d20 \ + --hash=sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5 \ + --hash=sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c \ + --hash=sha256:fc67cbb3c96af7a798fab53d52589752c1673027e516b702ab355510ddf6bdff + # via compressed-tensors frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ @@ -1814,9 +1855,9 @@ llvmlite==0.44.0 \ --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \ --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610 # via numba -lm-format-enforcer==0.10.11 \ - --hash=sha256:563e0dbc930a6d50fb687951506c5de098c6e962601be0ce723f3b7d0b916a1b \ - --hash=sha256:8ab371924e166a1df68f243aca73a8a647bea5909f37edd6a53a694e7e7c3274 +lm-format-enforcer==0.11.3 \ + --hash=sha256:cf586350875def1ae7a8fba84fcbbfc8371424b6c9d05c1fcba70aa233fbf06f \ + --hash=sha256:e68081c108719cce284a9bcc889709b26ffb085a1945b5eba3a12cfa96d528da # via vllm log-symbols==0.0.14 \ --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ @@ -2454,60 +2495,61 @@ numpy==1.26.4 \ # transformers # vllm # xformers -nvidia-cublas-cu12==12.8.3.14 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3f0e05e7293598cf61933258b73e66a160c27d59c4422670bf0b79348c04be44 + # xgrammar +nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142 # via # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch -nvidia-cuda-cupti-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8e0b2eb847de260739bee4a3f66fac31378f4ff49538ff527a38a01a9a39f950 +nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182 # via torch -nvidia-cuda-nvrtc-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:a0fa9c2a21583105550ebd871bd76e2037205d56f33f128e69f6d2a55e0af9ed +nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994 # via torch -nvidia-cuda-runtime-cu12==12.8.57 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:75342e28567340b7428ce79a5d6bb6ca5ff9d07b69e7ce00d2c7b4dc23eff0be +nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90 # via torch -nvidia-cudnn-cu12==9.7.1.26 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:6d011159a158f3cfc47bf851aea79e31bcff60d530b70ef70474c84cac484d07 +nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8 # via torch -nvidia-cufft-cu12==11.3.3.41 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:da650080ab79fcdf7a4b06aa1b460e99860646b176a43f6208099bdc17836b6a +nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74 # via torch -nvidia-cufile-cu12==1.13.0.11 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:483f434c541806936b98366f6d33caef5440572de8ddf38d453213729da3e7d4 +nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc # via torch -nvidia-curand-cu12==10.3.9.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:8387d974240c91f6a60b761b83d4b2f9b938b7e0b9617bae0f0dafe4f5c36b86 +nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9 # via torch -nvidia-cusolver-cu12==11.7.2.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:4d1354102f1e922cee9db51920dba9e2559877cf6ff5ad03a00d853adafb191b +nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450 # via torch -nvidia-cusparse-cu12==12.5.7.53 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:3c1b61eb8c85257ea07e9354606b26397612627fdcd327bfd91ccf6155e7c86d +nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b # via # nvidia-cusolver-cu12 # torch -nvidia-cusparselt-cu12==0.6.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46 +nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623 # via torch nvidia-ml-py==12.575.51 \ --hash=sha256:6490e93fea99eb4e966327ae18c6eec6256194c921f23459c8767aee28c54581 \ --hash=sha256:eb8641800d98ce40a22f479873f34b482e214a7e80349c63be51c3919845446e # via pynvml -nvidia-nccl-cu12==2.26.2 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6 +nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:adf27ccf4238253e0b826bce3ff5fa532d65fc42322c8bfdfaf28024c0fbe039 # via torch -nvidia-nvjitlink-cu12==12.8.61 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17 +nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88 # via # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch -nvidia-nvtx-cu12==12.8.55 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:2dd0780f1a55c21d8e06a743de5bd95653de630decfff40621dbde78cc307102 +nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f # via torch oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ @@ -2592,48 +2634,48 @@ opentelemetry-semantic-conventions==0.55b1 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # opentelemetry-sdk -outlines-core==0.2.10 \ - --hash=sha256:0a9e4b192ca837a472a1bb1428397509f543db08e1aeeee30252525cec34093a \ - --hash=sha256:202a8682319ac2c3ece876a5910eb90b399d7db3e2e0ea9c371bca61071dc840 \ - --hash=sha256:207309a1d4fcf3100e3bbdc31b4d65f2b4f5d809d600c1509e28b6dca028a892 \ - --hash=sha256:32615f6fe4286d80699e9e6537eecbde387bf73d87751858f7a0693947381cdc \ - --hash=sha256:367277a882aefa6c32438d554e1bc7389fdcaf89a3eb4d8a25cda5f1c1efb750 \ - --hash=sha256:4130170e53942561941d5f212583fb9c97e33d100eaac94f4b00fb3e0c4c06cf \ - --hash=sha256:4231fb008d6282f8c49543d6ae57b173e3ca1d77bbc4ff75472706a4a38cecbf \ - --hash=sha256:434aba95e0e08ef8cb6af2008562df1ad67ab02b68e64f4e725eff00bfcceb29 \ - --hash=sha256:534fafab18e2962b9973cae852f47476307dc217dd0708d53cbf54809d8b304e \ - --hash=sha256:5400dbd98ba9cba1817527510f457655ccfd7e4293a48dacc2115e04af55ae74 \ - --hash=sha256:5b651ae12331326b820df0ae9b255d9ed6cd1b725c33c8eeca5ca8ad655d8bf6 \ - --hash=sha256:63b9f0ef1fb61a5e18697e885b2eaa1f244d2ea021d68fdb2c9a607a769aeaa8 \ - --hash=sha256:65b2dba48d0f98b0145eb50494985f026e3c10df3fde94ced40e9c2aa6ea32ca \ - --hash=sha256:70d99dd37a826b4d85a5dcb39ae3b557e986c9bb1c4566bbb26f589531369a53 \ - --hash=sha256:750e2d5e0b083161208599c9c2b99c8c2b944ac82d22de91546f4b2c14c57895 \ - --hash=sha256:766554bed5afb19bb09f3ad01224e67723973ecc9da3d63b78dec36e3a3bfeb9 \ - --hash=sha256:795b19362798c408113da913a03e31a562a5faf4e2ea45ec0f44435843cc185e \ - --hash=sha256:7a1d44ccfeb029f8a0ae973ba729b59333f56ebab3d6bb765ba1cda685ebb407 \ - --hash=sha256:7b48e4bd776d4b3083d07baa3d722654e0425780772c4217f1df49d4984041b6 \ - --hash=sha256:82c97846e36cd6d7a9605013e07e1b9a481a270ac589b0b81076afd5ba850261 \ - --hash=sha256:8666735ec367a06e26331e164a80a4c2936b349713ac05ab53650e2997a30891 \ - --hash=sha256:8e5c11ad18818233ad2f579675c530873966ea155557ade9464c30a67c8aa95f \ - --hash=sha256:91facff8856f38ac77305dfea13e1c1a9be9152a14b3891a6422028291a1ea85 \ - --hash=sha256:9c5b9a3f7e658949a3dd07b8a28134277a047ed7d73f6e3b4ca8209346bbff54 \ - --hash=sha256:a29e261ab57fd992b236854fd19b46b17ad8c8b7fdc6d95a97ae83480e634cff \ - --hash=sha256:ac23b028da10e6914b762f36a7096e793a0e37b6c03f19963ef7875c05b67890 \ - --hash=sha256:b37e192de974fdbfe20332720a4a9cdda92719536dface60b48dc8eeeda24390 \ - --hash=sha256:b5df420c57fc257a30cf3a6e088b174aeb84a19d516f6818f00b29b626540629 \ - --hash=sha256:b984c932bdf2843e3d5a8e57e09830d52c4237ac394f39542c4e543378b94ffb \ - --hash=sha256:c0de2c683f5ca37211a3fe1c8d8530c3d92fa0ae3297b237369517dcea4b5a77 \ - --hash=sha256:c7210bdd63116682ce0a4f38e93b0ace0adbcd333644b2dddddb0d8db2a2a9a7 \ - --hash=sha256:c9ee7be195ac18dda5acce41d8805c2fb550a4affd525414511662cfa7097dfe \ - --hash=sha256:cd13c80be1052d735b10c84488bf081274c710744c34bf7a9b7233f69ba31537 \ - --hash=sha256:d1437c9b90a8faef2b480c8f0b944e8cc0b050c9a97164a7aacaa868ae08ceb1 \ - --hash=sha256:db3e07c999ee17035114f20263c7200bf5bea0f643d2d026671eb5cfc2a9cf71 \ - --hash=sha256:e39847ab495ec9923dc1a59ccab04ef7888b5e066bc5856b5cb7fe98e9663f3d \ - --hash=sha256:e4b2ce2b96cbe858358e71136511075678bd0e1d6d0c1641525c4dbe4c7b9270 \ - --hash=sha256:e8730816d97e17c31e21c26713f22ecd1899f4635fb7eb10ba10b9de2e1f33a6 \ - --hash=sha256:f543f23b263c0b010860ab5ea760b2be566b604315e6a89499632758ca177a5d \ - --hash=sha256:f895834da0a577120dcb8d979c12c0690fe912095413bf0070a73e9ff363b7bf \ - --hash=sha256:faf5b43181b1d033871364e74e9d348362c6a77b1d054d7af35e09fdfcff5b16 +outlines-core==0.2.11 \ + --hash=sha256:0907ff25d79edbf8650268028de85a1b41b38696f147059e007da4626a1031f1 \ + --hash=sha256:132605b8dd1e3d1369da6a851992dd357f6376068292f6bd47caa7a28b794d19 \ + --hash=sha256:1cfbb4cdcf34be5c6b08d279928b2b1050ed4c5e96e6e8405e3e624305c6799e \ + --hash=sha256:231f9d20d2630c70665345821780d7808b29539620a75c99f65113b518c51032 \ + --hash=sha256:358db161cce3650ba822e118dcf0a1efa571c7deb4864ab9d64ca2c9cca7425d \ + --hash=sha256:3a9db6831346ec4e683022c05b45403ec1c5f4a3fe52a2a7ebcc1d7d9dc3a5fb \ + --hash=sha256:3e316a79f3ecfa12c17746edebcbd66538ee22a43986982f6b96166fb94ee6b1 \ + --hash=sha256:44d581893f8644da02db7be11887229a40d26077cbdd22072ad1ed1db0ad0b2d \ + --hash=sha256:4a9db4872bae083631d720994f4cee603bce0536b33d5a988814576863b657cf \ + --hash=sha256:576fefbf50ff09ad3b42e3d5bd344d8668fc650188fcc06b9a0356fdc6a89b84 \ + --hash=sha256:5d26a46591377340e0b870b8a96ea8341058341a62ee0bded9098e0c88dd24f4 \ + --hash=sha256:63a2f1d54929421ac8af715921a67b6da1f52cfe7c3ca6cddb194268bbc99140 \ + --hash=sha256:670c1c1fca26fb5c7f00dbb11d1f81cca4204863c3dfdeee82017a6846397bf9 \ + --hash=sha256:707eeb3d190485f55a27ad9a6ad70df86688fa2bf405894a118283be7f59bd55 \ + --hash=sha256:76b2512417c68863f8f227a080e87f755682dfd895e23b021121318be11da579 \ + --hash=sha256:8359a45c59f6a8f2eb717245806501a59044c75f6ea8bd08faaa131cc8cdec45 \ + --hash=sha256:86df9740368866295077346440d911df4972da2b3f1f54b8125e6f329e8a8891 \ + --hash=sha256:8776a6db8843187c90e4c54bf94510cda68ca7a11c9b48d90587179fd3224bc2 \ + --hash=sha256:89d79d8454b321f60047541a896d410ca9db631d241960266c4fe839cf5cd1b1 \ + --hash=sha256:8c7ecdba2162e9b30b837251387c26b1a23f80f58d01d02e7600e4b1962c5333 \ + --hash=sha256:90f43cc83a109bfe72f4862d34b1d29e28c76477bbdf58b091ec34aa7f795ff1 \ + --hash=sha256:96ce4dd78f106799be4a0a5795cefd1352806162973756a4b6fce4bb6eddd7e4 \ + --hash=sha256:a3c7774b112106f3afe931c65637fb3e0725d43707ceff1d34d6899cf0fa8200 \ + --hash=sha256:a41c2d518367a4628bca3e4f509b268642c2cdec70b631c64f07d5158d029e0d \ + --hash=sha256:ad46698564c9b13cbfbc744067de12be73bd740d7b2de20ec6b979ad7511f7c9 \ + --hash=sha256:ae460a34675fb11d92a5c605a480fbae4cd6c1b2d11b3698da64a7fcaba64dcf \ + --hash=sha256:b31d5fc83b78aad282dd667b8d6e684614481fe08a7609ce0ce45dee64cd2991 \ + --hash=sha256:bc173be0f5c089c23fdb1df0dc4b9075140be2f4928748fefc58ea46a2bd36bd \ + --hash=sha256:c260a042b5854ff69291649cfd112066e6bab0dad0bb9cec8a6c3705ef3a59cd \ + --hash=sha256:d108ee8cd5e2fe71c2b0720b949d004901fec8bdb64bcd0c01b8abe38ab7ae1c \ + --hash=sha256:d44f38a89028bed50494420b47d08ebefa78f34b129e2ea6383c801e5ba62c26 \ + --hash=sha256:dae17b09f6f08d01fa0c228ab282197379ea10aa46b27f40b80c2014331af217 \ + --hash=sha256:daef6eaaf8c3403455ab5cbf265cb5c6838df571eb7c4b23cddac19cfc701726 \ + --hash=sha256:dd5fcefd221c10c95ce74838869450c6fdbbe2f581f0ba27e57a95232bd88c3a \ + --hash=sha256:defe30707d2c7718e6572b222028de1973c150ce3ec29ecf3f16dc5309a313ee \ + --hash=sha256:dfce56f717ff5083e54cbcfdb66cad243365437fccbb5509adaa7e31e030f1d8 \ + --hash=sha256:e88b7f717915d91136d915adb65c2603d2aa6457ec3fc336884bdb0b28d3188a \ + --hash=sha256:e96b8d0b56afcd3b86f4efca466c578f3725da1148ef62423249c92993841762 \ + --hash=sha256:ebf42ab5b7ae38235d3c3333b5cacd6e91449b87b8a48a85094ea28ad9de9878 \ + --hash=sha256:f4146da5957f97550eebd19e80635e48035886fd10f03e9735cc111caaf74e93 \ + --hash=sha256:fd4305ff8418d14059d95dc3276ca96ba1b5aa499908e1af8bb3c7207aa7ac68 # via vllm packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ @@ -4392,25 +4434,8 @@ tokenizers==0.21.1 \ # via # transformers # vllm -torch==2.7.1+cu128 \ - --hash=sha256:01d4745b4289d8a238c1741cae9920241fb1be199108c83002c661fc3e4d60da \ - --hash=sha256:0b64f7d0a6f2a739ed052ba959f7b67c677028c9566ce51997f9f90fe573ddaa \ - --hash=sha256:138c66dcd0ed2f07aafba3ed8b7958e2bed893694990e0b4b55b6b2b4a336aa6 \ - --hash=sha256:268e54db9f0bc2b7b9eb089852d3e592c2dea2facc3db494100c3d3b796549fa \ - --hash=sha256:2bb8c05d48ba815b316879a18195d53a6472a03e297d971e916753f8e1053d30 \ - --hash=sha256:3a0954c54fd7cb9f45beab1272dece2a05b0e77023c1da33ba32a7919661260f \ - --hash=sha256:500ad5b670483f62d4052e41948a3fb19e8c8de65b99f8d418d879cbb15a82d6 \ - --hash=sha256:5174f02de8ca14df87c8e333c4c39cf3ce93a323c9d470d690301d110a053b3c \ - --hash=sha256:738ac9b3ad79e62a21256e3d250cee858de955f93f89fab114da8d1919347d06 \ - --hash=sha256:9560425f9ea1af1791507e8ca70d5b9ecf62fed7ca226a95fcd58d0eb2cca78f \ - --hash=sha256:9eadb0a49ae383b2d20e059b8614485cf216f3ebd13c4f401daa917e9979254b \ - --hash=sha256:aca3472608e3c92df5166537595687b53a6c997082478b372427b043dbed98d0 \ - --hash=sha256:c301dc280458afd95450af794924c98fe07522dd148ff384739b810e3e3179f2 \ - --hash=sha256:c355db49c218ada70321d5c5c9bb3077312738b99113c8f3723ef596b554a7b9 \ - --hash=sha256:d56d29a6ad7758ba5173cc2b0c51c93e126e2b0a918e874101dc66545283967f \ - --hash=sha256:d6c3cba198dc93f93422a8545f48a6697890366e4b9701f54351fc27e2304bd3 \ - --hash=sha256:e27e5f7e74179fb5d814a0412e5026e4b50c9e0081e9050bc4c28c992a276eb1 \ - --hash=sha256:f112465fdf42eb1297c6dddda1a8b7f411914428b704e1b8a47870c52e290909 +torch==2.8.0+cu128 \ + --hash=sha256:039b9dcdd6bdbaa10a8a5cd6be22c4cb3e3589a341e5f904cbb571ca28f55bed # via # compressed-tensors # nixl @@ -4419,33 +4444,33 @@ torch==2.7.1+cu128 \ # vllm # xformers # xgrammar -torchaudio==2.7.1+cu128 \ - --hash=sha256:0c144d5ffb4eec86c79ff1136abd91bd3f837f3042713795e10758aedc42dce8 \ - --hash=sha256:0c1d407f934d44f87935b139991d8872f81f88f8a6be9b7bd25918bf744e2be6 \ - --hash=sha256:170ca262fad47188ce35010fd34d5b3661c46a2c053383fd72ef653f713329ce \ - --hash=sha256:2ba0816eee659e343851a9c5dc60c8e1eb819a3969b29268fab27d3143273d78 \ - --hash=sha256:37a42de8c0f601dc0bc7dcccc4049644ef5adcf45920dd5813c339121e5b5a8c \ - --hash=sha256:456f3f3db40aa3dcdd1e19a4367a62452c30b46ede3a5ddfd316a034e383d63c \ - --hash=sha256:4586e3106701b06a4f9377f5c1da9e1d8555e16bd58fd7d810aa3f6cf50bd713 \ - --hash=sha256:7e97ea8a5d5e56108d1c071416613bc61a0e3531c2e6ba6a9b646232d6e41088 \ - --hash=sha256:84ec727f1fdafdf85dd1c018a6d3bfabeb5665b10e0b5f273a675eb730f59ce5 \ - --hash=sha256:84fb5c546faced5e835ff8edde419fa407513f7ff21cc05e2b4a8978463b16b7 \ - --hash=sha256:b1e56a999a06a5deaebfb991dc676aaa60d98139907d99badbc6dca6456637ee \ - --hash=sha256:cb435329019d441d8177db2d84e8d397881896d100efb4f4c15f0d3732f92a81 +torchaudio==2.8.0+cu128 \ + --hash=sha256:04b410f93337fc6c16576d0c88e2a31091aef9d1fd212ebb8cd26899dba175e0 \ + --hash=sha256:1054e0a7613cac54ed9b3784a5fcbe023748a70004d9cca74c5f9ae00a1fdfd1 \ + --hash=sha256:145b8a0c21cfcaa1705c67173c5d439087e0e120d5da9bc344746f937901d243 \ + --hash=sha256:3146bbd48992d215f6bb1aef9626d734c3180b377791ded2a4d4d2c0e63c0cc2 \ + --hash=sha256:362eda296bfcacddb3a4b2badc2bfb94ef096c5d5d245178c8a1ed94030610c7 \ + --hash=sha256:410bb8ea46225efe658e5d27a3802c181a2255913003621a5d25a51aca8018d9 \ + --hash=sha256:5d7a9d913e2744573ed3b7ec2f781ed39833c81c9c41859973ec10ac174c2366 \ + --hash=sha256:7a1eb6154e05b8056b34c7a41495e09d57f79eb0180eb4e7f3bb2a61845ca8ea \ + --hash=sha256:a0161e95285a0b716de210fee0392151d601e7da3cc86595008d826abff48a8c \ + --hash=sha256:cce3a60cd9a97f7360c8f95504ac349311fb7d6b9b826135936764f4de5f782d \ + --hash=sha256:d9066c69eec1f293c2ff0a805bf504737390ccbf6b77c8e67daf834db86fda45 \ + --hash=sha256:f4409df567d0723a7a3a89d32c7552a17e0ff6f137ea26a0d268c665259b2995 # via vllm -torchvision==0.22.1+cu128 \ - --hash=sha256:02faf51fbf5070592768fa935327d13a484b745faef38b0fee01d85cfb35f5bc \ - --hash=sha256:51f25bc1d28b037d98a1415c917441726244d8a00971907e6dfb00eccc31365f \ - --hash=sha256:538f4db667286d939b4eee0a66d31ed21b51186668006b0e0ffe20338ecc7e00 \ - --hash=sha256:650561ba326d21021243f5e064133dc62dc64d52f79623db5cd76637a9665f96 \ - --hash=sha256:85ecd729c947151eccea502853be6efc2c0029dc26e6e5148e04684aed008390 \ - --hash=sha256:92568ac46b13a8c88b61589800b1b9c4629be091ea7ce080fc6fc622e11e0915 \ - --hash=sha256:ad48ba3c3ffd48027e3a8de42fcea131a53a524ee9416ca4efb22f9ac6b7328d \ - --hash=sha256:bc4fef193917b51db6b409acd3ffdec9286d877baac0aee5dcfbb72592d00bfc \ - --hash=sha256:d44d8bc41162167aa7b9eba0587362d007e84b7ecab5774972ad78eb4d30c004 \ - --hash=sha256:e5320bb2c9f69636f3dc18abc3291fe8c8e448cb9ef0112510a5413a5af3f8f2 \ - --hash=sha256:eb784cc75a66f3336a04ff3a992bf74160842132db69e8bdbb58b5ab9422c345 \ - --hash=sha256:f64ef9bb91d71ab35d8384912a19f7419e35928685bc67544d58f45148334373 +torchvision==0.23.0+cu128 \ + --hash=sha256:0d6ff6489eb71e4c0bb08cf7cb253298c2520458b1bd67036733652acfa87f00 \ + --hash=sha256:20fa9c7362a006776630b00b8a01919fedcf504a202b81358d32c5aef39956fe \ + --hash=sha256:460bc8d70f63bdb433a7351decc2c1ae1903f7f378e4a7614fc8e8c97a5c36aa \ + --hash=sha256:4cbc97e320d229929ec706f98edc926b68dc2fa9fb7785133c6bda2c5d163694 \ + --hash=sha256:70b3d8bfe04438006ec880c162b0e3aaac90c48b759aa41638dd714c732b182c \ + --hash=sha256:784fc90cb970e5a29b24b6441e461f5bf616846305b9793fa3870a9f296d4c0e \ + --hash=sha256:8ec6f2281ef5d52471b01b99eb04243d0c2cccb1972ba43217085025fe5a6c3f \ + --hash=sha256:91fd897fb6fefaf25ec56897391b448eff73f28a7e2ab7660886ece85c865ec6 \ + --hash=sha256:93f1b5f56b20cd6869bca40943de4fd3ca9ccc56e1b57f47c671de1cdab39cdb \ + --hash=sha256:9cb3c13997afcb44057ca10d943c6c4cba3068afde0f370965abce9c89fcffa9 \ + --hash=sha256:c63982f1973ba677b37e6663df0e07cb5381459b6f0572c2ca95eebd8dfeb742 \ + --hash=sha256:f69174bc69474bd4d1405bac3ebd35bb39c8267ce6b8a406070cb3149c72e3b8 # via vllm tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -4535,8 +4560,8 @@ transformers==4.55.2 \ # compressed-tensors # vllm # xgrammar -triton==3.3.1 ; sys_platform == 'linux' \ - --hash=sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b +triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:e2b0afe420d202d96f50b847d744a487b780567975455e56f64b061152ee9554 # via # torch # xgrammar @@ -4578,6 +4603,7 @@ typing-extensions==4.12.2 \ # typer # typing-inspection # vllm + # xgrammar typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 @@ -4671,9 +4697,9 @@ virtualenv==20.29.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements.txt -vllm==0.10.1.1 \ - --hash=sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39 \ - --hash=sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a +vllm==0.10.2 \ + --hash=sha256:57608f44cf61f5d80fb182c98e06e524cb2925bb528258a7b247c8e43a52d13e \ + --hash=sha256:e0cba6110483d9bf25c4402d8655cf78d366dd13e4155210980cc3480ed98b7b # via -r python/requirements/llm/llm-requirements.txt watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -4883,37 +4909,35 @@ wrapt==1.14.1 \ # via # -c python/deplocks/llm/ray_test_py311_cu128.lock # -r python/requirements/cloud-requirements.txt -xformers==0.0.31 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ - --hash=sha256:b2ea87e0651f46164cb3cd74face021bd1654229ca4f8c0baa03b8c477515c7a +xformers==0.0.32.post1 ; platform_machine == 'x86_64' and sys_platform == 'linux' \ + --hash=sha256:5f245b5555188da112070d8fefb6b7ae1ae47422856521d66c837e9d2352fbe4 + # via vllm +xgrammar==0.1.23 ; platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64' \ + --hash=sha256:0583caae0d1478e9c8fc485322c2d5ac9f6766fd995bfe3b5460704b610a12fc \ + --hash=sha256:20692f98e79fe85e1f33482e2f5ae92ba204a7ac95c3322795d39b910292df46 \ + --hash=sha256:280d6e114b6ea57ee9dc4b5e31b5f897132e74d279b8064e7679893804498652 \ + --hash=sha256:3dcad40085f1e280ed8bbe5ea19f152e3704fb6456760085481c4e6a376c288c \ + --hash=sha256:3fa7214b19b1258d980262ce6fce20de3dbc64a85c70d706097c74ed816191c7 \ + --hash=sha256:41d262c48354f2d845e8654c05be681c17fb9fc037cde6883ef434a07b1e9ace \ + --hash=sha256:5ef280455c1ac008f052d7ea92286f0ca3a3d7ab360224894ac69277c8827113 \ + --hash=sha256:6605ae8f7d7748ac00b55f4377ddc895bc9b7f8252760b1265145be9a2bc87e4 \ + --hash=sha256:6af5e07529fcc93629ecf38cca06bb9aea1bcf7ad48eaca06a4f52ac674274cb \ + --hash=sha256:7a4f47812ea93f79634b2ab14580ccd20893e9c81ff43929e1ea1a6b32e56015 \ + --hash=sha256:7bde8472e2a28e529bff26f3ca2db56679c8dccbae68813c0ae61db1edff95a5 \ + --hash=sha256:8612ed64bcf86526837df9c4c1061a2b00a39a51cb1ab1fe61f881c1c2ab5f1e \ + --hash=sha256:8e7fdb6cf4106ad1b2dc21e3d0dd11b76bbaf3071712b8845124eb2db3171e32 \ + --hash=sha256:a21b9f85fa321a2731106ffc167fde15d90e5af1779b64bc75c36fa809ea7925 \ + --hash=sha256:a40d28e5011f4e2a9d874ad00f7c4b3c1e816690b3f2d25904c64fd0c32cbbf9 \ + --hash=sha256:af31d12105e31afa257870e9016da3c631300d040e63684b5aabae074916f552 \ + --hash=sha256:b2856980ff45042e5f7a21e4508fd846ab1c968a4a8122dcb6601b5974f5bd32 \ + --hash=sha256:b2a40e4dd242dedc83c52f9699569efe04b448bd1cd06627d12a7093b4d800ed \ + --hash=sha256:b330a5d673a53a657beb641af8e90146bba4ec18203c440ee7b7766856f5991c \ + --hash=sha256:ba90f257f75f12014360d9512f95caf731b18efe0562f91206b44b28388533d6 \ + --hash=sha256:c5439d9a7819b98bb82a699e63e9b233569eacd1d8d0d5366f4cca7d61cc2742 \ + --hash=sha256:cdae74e846e5f049a0e1725193dd4019a1a2352af6d34bffbd542cbb461cc2f9 \ + --hash=sha256:e0ff9c0a1d46c95d82345a5bf026956ef6d98f1aac7115b57ce88d1d93c4a374 \ + --hash=sha256:f7feb92eb95f093392f05d7b4dd76a49f43909f27df02710f04bc7b717e7e4da # via vllm -xgrammar==0.1.21 \ - --hash=sha256:140628376fc701a535600dc64752603ddaed619461dc50669e90626e9f61b8aa \ - --hash=sha256:20a217a760fd0633a704929320ad2004ff90951fdcf758351f54a9271ab36a6c \ - --hash=sha256:2ce1e81417ff46aa7ef26d8c0627275cb20dd1f2e8ead5bb261aecde1cc8ba57 \ - --hash=sha256:328c35bd62541df41f8e71b544ea73c35dd990e275cf45bad4210e4c94f4a451 \ - --hash=sha256:50d9519211bb76c80a34b25278fcfb0253057b4f2db8fca81da19a53ea61f071 \ - --hash=sha256:55625383b506f1dd64a510605df5d852cfcadbfc5fcd962f400656b67542ad8e \ - --hash=sha256:633d1af2fefdd797e94d8c68cf74fd71bb994c9a420436310f7e6e05a7e8f2a3 \ - --hash=sha256:6e91cc28cb5ca8dc23641b9fc4f358fb0d3bc6be231a39b175206f95c88bc11d \ - --hash=sha256:6edc396727d12a36a84f09ad4a688eeeb73fe23620fc4fed5b97e9a0f03107b2 \ - --hash=sha256:6f5936ea42b8005a963f0f51e713fb94f6766159f4380f339f504f3f1bd6b489 \ - --hash=sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77 \ - --hash=sha256:8e572bf7b8332c449a071a47fc0e6efe90274197cb701293da331d03d5a071e5 \ - --hash=sha256:8ed509c6e75e81fd322a5dd05b0372d73099421d26f3308186de92a8f19539fb \ - --hash=sha256:a1f128511bf354f6e3a027fedb3eb38e8749e2eefbb3874a7edefd054e2b677a \ - --hash=sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84 \ - --hash=sha256:b07199744b736bf81edae5b68c894d09a1ca8494fc1a80d8f064aa36252ace5a \ - --hash=sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477 \ - --hash=sha256:b43c1c8b2e7b0f78067b30a0661ae3b2dfa260a45b0341749d829a27df94faf4 \ - --hash=sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8 \ - --hash=sha256:da3c43058a86b7a34427bea5d15f7e5521894ed67417cb3d92d9c078927c4225 \ - --hash=sha256:e6e5a171ed0b79712e82f1e2726f4deb0bc1db4476b70187fa7aea04afea3350 \ - --hash=sha256:f43ee3b944da5114f564a1ca734c2e0c5baf849ae824646d3e689c5c78bc6aae \ - --hash=sha256:f89d9ddb4d00fadcffa4bcabd0c3ae75d47c844c728bbb6be695056df3767524 \ - --hash=sha256:f9247641c73eec6e972cec15156a8844957334204ba79ad1abdb0d7b03def8a1 - # via - # -r python/requirements/llm/llm-test-requirements.txt - # vllm y-py==0.6.2 \ --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ diff --git a/python/requirements/llm/llm-requirements.txt b/python/requirements/llm/llm-requirements.txt index dde9a0e38905..89f3e0abd959 100644 --- a/python/requirements/llm/llm-requirements.txt +++ b/python/requirements/llm/llm-requirements.txt @@ -2,7 +2,7 @@ # constraining to a maximum version (i.e. <=) to temporarily work around a bug. # Those pins for the sake of workarounds should not be advertised as constraints # on future releases in setup.py. -vllm>=0.10.1.1 +vllm>=0.10.2 # For json mode jsonref>=1.1.0 jsonschema diff --git a/python/requirements/llm/llm-test-requirements.txt b/python/requirements/llm/llm-test-requirements.txt index d1ab20228386..b8451bb7ba1f 100644 --- a/python/requirements/llm/llm-test-requirements.txt +++ b/python/requirements/llm/llm-test-requirements.txt @@ -3,7 +3,6 @@ aiohttp pillow httpx>=0.27.2 pynvml>=12.0.0 -xgrammar==0.1.21 jupytext>1.13.6 sphinx==6.2.1 backoff diff --git a/python/setup.py b/python/setup.py index 60024b4b8c1f..0528b1741a60 100644 --- a/python/setup.py +++ b/python/setup.py @@ -372,7 +372,7 @@ def get_packages(self): setup_spec.extras["llm"] = list( set( [ - "vllm>=0.10.1.1", + "vllm>=0.10.2", "jsonref>=1.1.0", "jsonschema", "ninja", From beae31757e4e85bb4b13d2f20ea73ae68956a4ff Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 15 Sep 2025 21:13:14 -0700 Subject: [PATCH 1223/1566] [core][ci] Install cpp api for java tests (#56571) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- ci/ray_ci/tests.env.Dockerfile | 5 ++++- ci/ray_ci/windows/tests.env.Dockerfile | 1 + 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index fb009afa59d4..682ba5242a6c 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -9,6 +9,8 @@ ARG RAY_INSTALL_MASK= ENV CC=clang ENV CXX=clang++-12 +# Disabling C++ API build to speed up CI +# Only needed for java tests where we override this. ENV RAY_DISABLE_EXTRA_CPP=1 RUN mkdir /rayci @@ -68,7 +70,8 @@ elif [[ "$BUILD_TYPE" == "asan" ]]; then bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux - RAY_INSTALL_JAVA=1 pip install -v -e python/ + # Java tests need the C++ API for multi-langauge worker tests. + RAY_DISABLE_EXTRA_CPP=0 RAY_INSTALL_JAVA=1 pip install -v -e python/ else pip install -v -e python/ fi diff --git a/ci/ray_ci/windows/tests.env.Dockerfile b/ci/ray_ci/windows/tests.env.Dockerfile index cce117b1fe7e..3dd5e6187d7c 100644 --- a/ci/ray_ci/windows/tests.env.Dockerfile +++ b/ci/ray_ci/windows/tests.env.Dockerfile @@ -11,6 +11,7 @@ ENV BUILDKITE_CACHE_READONLY=${BUILDKITE_CACHE_READONLY} ENV PYTHON=3.9 ENV RAY_USE_RANDOM_PORTS=1 ENV RAY_DEFAULT_BUILD=1 +# Java and C++ API tests never run on Windows ENV RAY_INSTALL_JAVA=0 ENV RAY_DISABLE_EXTRA_CPP=1 ENV RAY_ENABLE_WINDOWS_OR_OSX_CLUSTER=1 From 29b4deed297ec2a18ed16119f86feab99ec7d57e Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 15 Sep 2025 22:01:50 -0700 Subject: [PATCH 1224/1566] [Data] - Optimize memory usage for One Hot Encoder (#56565) ## Why are these changes needed? Previously, the vector that was holding the values from OneHotEncoder was of type `int64`. We can reduce this to `uint8`, which should result in 8x lower memory usage ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/preprocessors/encoder.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/python/ray/data/preprocessors/encoder.py b/python/ray/data/preprocessors/encoder.py index 6f95900b2740..23d9f0f04d78 100644 --- a/python/ray/data/preprocessors/encoder.py +++ b/python/ray/data/preprocessors/encoder.py @@ -285,10 +285,18 @@ def safe_get(v: Any, stats: Dict[str, int]): stats = self.stats_[f"unique_values({column})"] num_categories = len(stats) - one_hot = np.zeros((len(df), num_categories), dtype=int) + one_hot = np.zeros((len(df), num_categories), dtype=np.uint8) + # Integer indices for each category in the column codes = df[column].apply(lambda v: safe_get(v, stats)).to_numpy() - valid_rows = codes != -1 - one_hot[np.nonzero(valid_rows)[0], codes[valid_rows].astype(int)] = 1 + # Filter to only the rows that have a valid category + valid_category_mask = codes != -1 + # Dimension should be (num_rows, ) - 1D boolean array + non_zero_indices = np.nonzero(valid_category_mask)[0] + # Mark the corresponding categories as 1 + one_hot[ + non_zero_indices, + codes[valid_category_mask], + ] = 1 df[output_column] = one_hot.tolist() return df From 82e4180b10c7e79a0cc28008d3833d4bc345cc65 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Tue, 16 Sep 2025 06:21:47 -0700 Subject: [PATCH 1225/1566] [release] Separate custom BYOD image build & set up image build dependency for test jobs in release test pipeline (#56233) - Stop building Anyscale images & custom images in `test init` step since regular images are already launched by `init`, while custom image builds are launched independently (by running `custom_byod_build_init_helper` in `init` step) - Add dependency for test jobs in the pipeline to depend on each image build that it needs rather than waiting for the `test init` step which currently builds image sequentially --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .buildkite/release/test.rayci.yml | 3 - .gitignore | 3 + release/BUILD.bazel | 4 ++ .../ray_release/.separate_custom_build.stamp | 2 + release/ray_release/buildkite/step.py | 13 +++- .../custom_byod_build_init_helper.py | 61 ++++++++++++------- release/ray_release/scripts/build_pipeline.py | 14 ----- .../scripts/custom_byod_build_init.py | 9 ++- release/ray_release/test.py | 18 +++--- release/ray_release/tests/test_buildkite.py | 50 +++++++++------ .../test_custom_byod_build_init_helper.py | 29 +++++++-- release/ray_release/tests/test_step.py | 10 ++- 12 files changed, 140 insertions(+), 76 deletions(-) create mode 100644 release/ray_release/.separate_custom_build.stamp diff --git a/.buildkite/release/test.rayci.yml b/.buildkite/release/test.rayci.yml index dd7d235780b0..6ed07ef2d903 100644 --- a/.buildkite/release/test.rayci.yml +++ b/.buildkite/release/test.rayci.yml @@ -10,6 +10,3 @@ steps: mount_buildkite_agent: true depends_on: - forge - - anyscalebuild - - anyscalellmbuild - - anyscalemlbuild diff --git a/.gitignore b/.gitignore index 5e7bbfa27cfa..a96782c0c460 100644 --- a/.gitignore +++ b/.gitignore @@ -240,3 +240,6 @@ tag-mapping.json # Temporary files generated by import sorting linter. *.isorted + +# Custom BYOD build rayci yaml file +.buildkite/release/custom_byod_build.rayci.yml diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 705d230a9c32..dfdd1e34dfa8 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -752,6 +752,10 @@ py_binary( py_binary( name = "custom_byod_build_init", srcs = ["ray_release/scripts/custom_byod_build_init.py"], + data = [ + "release_data_tests.yaml", + "release_tests.yaml", + ], exec_compatible_with = ["//:hermetic_python"], deps = [ ":ray_release", diff --git a/release/ray_release/.separate_custom_build.stamp b/release/ray_release/.separate_custom_build.stamp new file mode 100644 index 000000000000..ce4184f14008 --- /dev/null +++ b/release/ray_release/.separate_custom_build.stamp @@ -0,0 +1,2 @@ +This stamp file, if exists, indicates that custom BYOD image builds for release have been decoupled from test_init, allowing each image to be built independently. +The job generation process for building these custom images is now handled during the init step of the build. diff --git a/release/ray_release/buildkite/step.py b/release/ray_release/buildkite/step.py index 41df12b89e08..096c56358e65 100644 --- a/release/ray_release/buildkite/step.py +++ b/release/ray_release/buildkite/step.py @@ -12,6 +12,10 @@ get_test_project_id, ) from ray_release.env import DEFAULT_ENVIRONMENT, load_environment +from ray_release.custom_byod_build_init_helper import ( + generate_custom_build_step_key, + get_prerequisite_step, +) from ray_release.template import get_test_env_var from ray_release.util import DeferredEnvVar @@ -113,7 +117,6 @@ def get_step( global_config: Optional[str] = None, ): env = env or {} - step = copy.deepcopy(DEFAULT_STEP_TEMPLATE) cmd = [ @@ -191,4 +194,12 @@ def get_step( step["label"] = full_label + image = test.get_anyscale_byod_image() + if test.require_custom_byod_image(): + step["depends_on"] = generate_custom_build_step_key( + test.get_anyscale_byod_image(build_id="") + ) + else: + step["depends_on"] = get_prerequisite_step(image) + return step diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index cbdd90b55926..aadf8f44057f 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -3,29 +3,31 @@ from ray_release.configs.global_config import get_global_config from ray_release.logger import logger from ray_release.test import Test +import hashlib -def _generate_custom_build_step_key(image: str) -> str: - # Buildkite step key cannot contain special characters, so they need to be replaced. - # Buildkite also limits step key length to 80 characters. - return ( - "custom_build_" - + image.replace("/", "_") - .replace(":", "_") - .replace(".", "_") - .replace("-", "_")[-40:] - ) +def generate_custom_build_step_key(image: str) -> str: + image_repository, tag = image.split(":") + tag_variants = tag.split("-") + # Remove build id from the tag name to make hash consistent + image_name_without_id = f"{image_repository}:{'-'.join(tag_variants[1:])}" + logger.info(f"Image: {image_name_without_id}") + result = hashlib.sha256(image_name_without_id.encode()).hexdigest()[:20] + logger.info(f"Result: {result}") + return result -def get_images_from_tests(tests: List[Test]) -> List[Tuple[str, str, str]]: +def get_images_from_tests( + tests: List[Test], build_id: str +) -> List[Tuple[str, str, str]]: """Get a list of custom BYOD images to build from a list of tests.""" custom_byod_images = set() for test in tests: if not test.require_custom_byod_image(): continue custom_byod_image_build = ( - test.get_anyscale_byod_image(), - test.get_anyscale_base_byod_image(), + test.get_anyscale_byod_image(build_id), + test.get_anyscale_base_byod_image(build_id), test.get_byod_post_build_script(), ) logger.info(f"To be built: {custom_byod_image_build[0]}") @@ -34,34 +36,49 @@ def get_images_from_tests(tests: List[Test]) -> List[Tuple[str, str, str]]: def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: + """Create a yaml file for building custom BYOD images""" + config = get_global_config() if not config or not config.get("byod_ecr_region") or not config.get("byod_ecr"): raise ValueError("byod_ecr_region and byod_ecr must be set in the config") - """Create a yaml file for building custom BYOD images""" - custom_byod_images = get_images_from_tests(tests) + custom_byod_images = get_images_from_tests(tests, "$$RAYCI_BUILD_ID") if not custom_byod_images: return build_config = {"group": "Custom images build", "steps": []} for image, base_image, post_build_script in custom_byod_images: + logger.info( + f"Building custom BYOD image: {image}, base image: {base_image}, post build script: {post_build_script}" + ) if not post_build_script: continue step = { "label": f":tapioca: build custom: {image}", - "key": _generate_custom_build_step_key(image), + "key": generate_custom_build_step_key(image), "instance_type": "release-medium", "commands": [ + "bash release/gcloud_docker_login.sh release/aws2gce_iam.json", + "export PATH=$(pwd)/google-cloud-sdk/bin:$$PATH", f"aws ecr get-login-password --region {config['byod_ecr_region']} | docker login --username AWS --password-stdin {config['byod_ecr']}", f"bazelisk run //release:custom_byod_build -- --image-name {image} --base-image {base_image} --post-build-script {post_build_script}", ], } - if "ray-ml" in image: - step["depends_on"] = "anyscalemlbuild" - elif "ray-llm" in image: - step["depends_on"] = "anyscalellmbuild" - else: - step["depends_on"] = "anyscalebuild" + step["depends_on"] = get_prerequisite_step(image) build_config["steps"].append(step) + logger.info(f"Build config: {build_config}") with open(destination_file, "w") as f: yaml.dump(build_config, f, default_flow_style=False, sort_keys=False) + + +def get_prerequisite_step(image: str) -> str: + """Get the base image build step for a job that depends on it.""" + config = get_global_config() + image_repository, _ = image.split(":") + image_name = image_repository.split("/")[-1] + if image_name == "ray-ml": + return config["release_image_step_ray_ml"] + elif image_name == "ray-llm": + return config["release_image_step_ray_llm"] + else: + return config["release_image_step_ray"] diff --git a/release/ray_release/scripts/build_pipeline.py b/release/ray_release/scripts/build_pipeline.py index 4cf21864da0a..a220fc72749e 100644 --- a/release/ray_release/scripts/build_pipeline.py +++ b/release/ray_release/scripts/build_pipeline.py @@ -10,10 +10,6 @@ from ray_release.buildkite.filter import filter_tests, group_tests from ray_release.buildkite.settings import get_pipeline_settings from ray_release.buildkite.step import get_step_for_test_group -from ray_release.byod.build import ( - build_anyscale_base_byod_images, - build_anyscale_custom_byod_image, -) from ray_release.config import ( read_and_validate_release_test_collection, RELEASE_TEST_CONFIG_FILES, @@ -122,16 +118,6 @@ def main( "not return any tests to run. Adjust your filters." ) tests = [test for test, _ in filtered_tests] - logger.info("Build anyscale base BYOD images") - build_anyscale_base_byod_images(tests) - logger.info("Build anyscale custom BYOD images") - for test in tests: - if test.require_custom_byod_image(): - build_anyscale_custom_byod_image( - test.get_anyscale_byod_image(), - test.get_anyscale_base_byod_image(), - test.get_byod_post_build_script(), - ) grouped_tests = group_tests(filtered_tests) group_str = "" diff --git a/release/ray_release/scripts/custom_byod_build_init.py b/release/ray_release/scripts/custom_byod_build_init.py index ba0df452e2ce..b9801a593c2d 100644 --- a/release/ray_release/scripts/custom_byod_build_init.py +++ b/release/ray_release/scripts/custom_byod_build_init.py @@ -16,6 +16,8 @@ from ray_release.logger import logger from ray_release.custom_byod_build_init_helper import create_custom_build_yaml +_bazel_workspace_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") + @click.command( help="Create a rayci yaml file for building custom BYOD images based on tests." @@ -105,7 +107,12 @@ def main( "not return any tests to run. Adjust your filters." ) tests = [test for test, _ in filtered_tests] - create_custom_build_yaml(".buildkite/release/custom_byod_build.rayci.yml", tests) + create_custom_build_yaml( + os.path.join( + _bazel_workspace_dir, ".buildkite/release/custom_byod_build.rayci.yml" + ), + tests, + ) if __name__ == "__main__": diff --git a/release/ray_release/test.py b/release/ray_release/test.py index c912a7b00bdb..8335c424a8b9 100644 --- a/release/ray_release/test.py +++ b/release/ray_release/test.py @@ -531,7 +531,7 @@ def get_python_version(self) -> str: """ return self.get("python", ".".join(str(v) for v in DEFAULT_PYTHON_VERSION)) - def get_byod_base_image_tag(self) -> str: + def get_byod_base_image_tag(self, build_id: Optional[str] = None) -> str: """ Returns the byod image tag to use for this test. """ @@ -541,22 +541,22 @@ def get_byod_base_image_tag(self) -> str: # TODO(can): this is a temporary backdoor that should be removed # once civ2 is fully rolled out. return byod_image_tag - build_id = os.environ.get("RAYCI_BUILD_ID", "") + build_id = build_id or os.environ.get("RAYCI_BUILD_ID", "") if not build_id: raise ValueError("RAYCI_BUILD_ID is not set") python_version = "py" + self.get_python_version().replace(".", "") return f"{build_id}-{python_version}-{self.get_tag_suffix()}" - def get_byod_image_tag(self) -> str: + def get_byod_image_tag(self, build_id: Optional[str] = None) -> str: """ Returns the byod custom image tag to use for this test. """ if not self.require_custom_byod_image(): - return self.get_byod_base_image_tag() + return self.get_byod_base_image_tag(build_id) custom_info = { "post_build_script": self.get_byod_post_build_script(), } - return f"{self.get_byod_base_image_tag()}-{dict_hash(custom_info)}" + return f"{self.get_byod_base_image_tag(build_id)}-{dict_hash(custom_info)}" def use_byod_ml_image(self) -> bool: """Returns whether to use the ML image for this test.""" @@ -605,13 +605,13 @@ def get_ray_image(self) -> str: tag = self.get_byod_base_image_tag() return f"{ecr}/{repo_name}:{tag}" - def get_anyscale_base_byod_image(self) -> str: + def get_anyscale_base_byod_image(self, build_id: Optional[str] = None) -> str: """ Returns the anyscale byod image to use for this test. """ return ( f"{self.get_byod_ecr()}/" - f"{self.get_byod_repo()}:{self.get_byod_base_image_tag()}" + f"{self.get_byod_repo()}:{self.get_byod_base_image_tag(build_id)}" ) def require_custom_byod_image(self) -> bool: @@ -620,13 +620,13 @@ def require_custom_byod_image(self) -> bool: """ return self.get_byod_post_build_script() is not None - def get_anyscale_byod_image(self) -> str: + def get_anyscale_byod_image(self, build_id: Optional[str] = None) -> str: """ Returns the anyscale byod image to use for this test. """ return ( f"{self.get_byod_ecr()}/" - f"{self.get_byod_repo()}:{self.get_byod_image_tag()}" + f"{self.get_byod_repo()}:{self.get_byod_image_tag(build_id)}" ) def get_test_results( diff --git a/release/ray_release/tests/test_buildkite.py b/release/ray_release/tests/test_buildkite.py index 08128ee3c8f0..927d68a0c28c 100644 --- a/release/ray_release/tests/test_buildkite.py +++ b/release/ray_release/tests/test_buildkite.py @@ -613,19 +613,23 @@ def testGetStep(self): "frequency": "nightly", "run": {"script": "test_script.py"}, "smoke_test": {"frequency": "nightly"}, + "cluster": {"byod": {"type": "cpu"}}, } ) - step = get_step(test, smoke_test=False) - self.assertNotIn( - "--smoke-test", step["plugins"][0][DOCKER_PLUGIN_KEY]["command"] - ) + with patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}): + step = get_step(test, smoke_test=False) + self.assertNotIn( + "--smoke-test", step["plugins"][0][DOCKER_PLUGIN_KEY]["command"] + ) - step = get_step(test, smoke_test=True) - self.assertIn("--smoke-test", step["plugins"][0][DOCKER_PLUGIN_KEY]["command"]) + step = get_step(test, smoke_test=True) + self.assertIn( + "--smoke-test", step["plugins"][0][DOCKER_PLUGIN_KEY]["command"] + ) - step = get_step(test, priority_val=20) - self.assertEqual(step["priority"], 20) + step = get_step(test, priority_val=20) + self.assertEqual(step["priority"], 20) def testInstanceResources(self): # AWS instances @@ -741,17 +745,24 @@ def testConcurrencyGroupSmokeTest(self): test = MockTest( { "name": "test_1", - "cluster": {"cluster_compute": cluster_config_full_path}, + "cluster": { + "cluster_compute": cluster_config_full_path, + "byod": {"type": "cpu"}, + }, "smoke_test": { - "cluster": {"cluster_compute": cluster_config_smoke_path}, + "cluster": { + "cluster_compute": cluster_config_smoke_path, + "byod": {"type": "cpu"}, + }, }, } ) - step = get_step(test, smoke_test=False) - self.assertEqual(step["concurrency_group"], "medium") + with patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}): + step = get_step(test, smoke_test=False) + self.assertEqual(step["concurrency_group"], "medium") - step = get_step(test, smoke_test=True) - self.assertEqual(step["concurrency_group"], "small") + step = get_step(test, smoke_test=True) + self.assertEqual(step["concurrency_group"], "small") def testStepQueueClient(self): test_regular = MockTest( @@ -759,6 +770,7 @@ def testStepQueueClient(self): "name": "test", "frequency": "nightly", "run": {"script": "test_script.py"}, + "cluster": {"byod": {"type": "cpu"}}, } ) test_client = MockTest( @@ -766,14 +778,16 @@ def testStepQueueClient(self): "name": "test", "frequency": "nightly", "run": {"script": "test_script.py", "type": "client"}, + "cluster": {"byod": {"type": "cpu"}}, } ) - step = get_step(test_regular) - self.assertEqual(step["agents"]["queue"], str(RELEASE_QUEUE_DEFAULT)) + with patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}): + step = get_step(test_regular) + self.assertEqual(step["agents"]["queue"], str(RELEASE_QUEUE_DEFAULT)) - step = get_step(test_client) - self.assertEqual(step["agents"]["queue"], str(RELEASE_QUEUE_CLIENT)) + step = get_step(test_client) + self.assertEqual(step["agents"]["queue"], str(RELEASE_QUEUE_CLIENT)) if __name__ == "__main__": diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py index 895f192d3278..34df063f1364 100644 --- a/release/ray_release/tests/test_custom_byod_build_init_helper.py +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -5,7 +5,10 @@ from unittest import mock import yaml -from ray_release.custom_byod_build_init_helper import create_custom_build_yaml +from ray_release.custom_byod_build_init_helper import ( + create_custom_build_yaml, + get_prerequisite_step, +) from ray_release.configs.global_config import init_global_config from ray_release.bazel import bazel_runfile from ray_release.test import Test @@ -60,18 +63,34 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): assert len(content["steps"]) == 2 assert ( f"--region {config['byod_ecr_region']}" - in content["steps"][0]["commands"][0] + in content["steps"][0]["commands"][2] ) - assert f"{config['byod_ecr']}" in content["steps"][0]["commands"][0] + assert f"{config['byod_ecr']}" in content["steps"][0]["commands"][2] assert ( f"--image-name {custom_byod_images[0][0]}" - in content["steps"][0]["commands"][1] + in content["steps"][0]["commands"][3] ) assert ( f"--image-name {custom_byod_images[2][0]}" - in content["steps"][1]["commands"][1] + in content["steps"][1]["commands"][3] ) +def test_get_prerequisite_step(): + config = get_global_config() + assert ( + get_prerequisite_step("ray-project/ray-ml:abc123-custom") + == config["release_image_step_ray_ml"] + ) + assert ( + get_prerequisite_step("ray-project/ray-llm:abc123-custom") + == config["release_image_step_ray_llm"] + ) + assert ( + get_prerequisite_step("ray-project/ray:abc123-custom") + == config["release_image_step_ray"] + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/release/ray_release/tests/test_step.py b/release/ray_release/tests/test_step.py index fa92e333a45b..b6ae308a8f87 100644 --- a/release/ray_release/tests/test_step.py +++ b/release/ray_release/tests/test_step.py @@ -18,7 +18,9 @@ def _stub_test(val: dict) -> Test: test = Test( { "name": "test", - "cluster": {}, + "cluster": { + "byod": {}, + }, } ) test.update(val) @@ -27,7 +29,8 @@ def _stub_test(val: dict) -> Test: @patch("ray_release.test.Test.update_from_s3", return_value=None) def test_get_step(mock): - step = get_step(_stub_test({}), run_id=2) + with patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}): + step = get_step(_stub_test({}), run_id=2) assert step["label"] == "test (None) (2)" @@ -40,7 +43,8 @@ def test_get_step_for_test_group(mock): ], "group2": [(_stub_test({"name": "test3"}), False)], } - steps = get_step_for_test_group(grouped_tests) + with patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}): + steps = get_step_for_test_group(grouped_tests) assert len(steps) == 2 assert steps[0]["group"] == "group1" assert [step["label"] for step in steps[0]["steps"]] == [ From e75c1f85714fdeb71438942f10bc9363b7ae6562 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 16 Sep 2025 09:59:40 -0700 Subject: [PATCH 1226/1566] [core] Make Free Objects RPC Fault Tolerant (#56293) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD.bazel | 1 + .../test_object_manager_fault_tolerance.py | 59 ++++++++++++++++++ src/ray/object_manager/object_manager.cc | 61 ++++++++++++++----- src/ray/object_manager/object_manager.h | 14 ++++- 4 files changed, 120 insertions(+), 15 deletions(-) create mode 100644 python/ray/tests/test_object_manager_fault_tolerance.py diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 075863d7df4f..546547983d0a 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -881,6 +881,7 @@ py_test_module_list( "test_failure_2.py", "test_generators.py", "test_multi_node.py", + "test_object_manager_fault_tolerance.py", "test_placement_group_3.py", "test_placement_group_5.py", "test_raylet_fault_tolerance.py", diff --git a/python/ray/tests/test_object_manager_fault_tolerance.py b/python/ray/tests/test_object_manager_fault_tolerance.py new file mode 100644 index 000000000000..42213c3d478e --- /dev/null +++ b/python/ray/tests/test_object_manager_fault_tolerance.py @@ -0,0 +1,59 @@ +import sys + +import numpy as np +import pytest + +import ray +from ray._private.internal_api import get_memory_info_reply, get_state_from_address +from ray._private.test_utils import wait_for_condition +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy + + +@pytest.mark.parametrize("deterministic_failure", ["request", "response"]) +def test_free_objects_idempotent( + monkeypatch, shutdown_only, deterministic_failure, ray_start_cluster +): + monkeypatch.setenv( + "RAY_testing_rpc_failure", + "ObjectManagerService.grpc_client.FreeObjects=1:" + + ("100:0" if deterministic_failure == "request" else "0:100"), + ) + + @ray.remote + def simple_task(big_object_ref_list): + ray.get(big_object_ref_list[0]) + return "ok" + + cluster = ray_start_cluster + remote_node_1 = cluster.add_node(num_cpus=1) + remote_node_2 = cluster.add_node(num_cpus=1) + ray.init(address=cluster.address) + + big_object_ref = ray.put(np.zeros(100 * 1024 * 1024)) + + # Propagate the big object to the remote nodes' plasma stores + result_ref_1 = simple_task.options( + scheduling_strategy=NodeAffinitySchedulingStrategy( + node_id=remote_node_1.node_id, soft=False + ) + ).remote([big_object_ref]) + result_ref_2 = simple_task.options( + scheduling_strategy=NodeAffinitySchedulingStrategy( + node_id=remote_node_2.node_id, soft=False + ) + ).remote([big_object_ref]) + + assert ray.get([result_ref_1, result_ref_2]) == ["ok", "ok"] + + del big_object_ref + + def get_cluster_memory_usage(): + state = get_state_from_address() + reply = get_memory_info_reply(state) + return reply.store_stats.object_store_bytes_used + + wait_for_condition(lambda: get_cluster_memory_usage() == 0, timeout=10) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 4c2dafed127b..1f46d5466889 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -15,17 +15,19 @@ #include "ray/object_manager/object_manager.h" #include +#include +#include #include #include #include #include #include +#include "ray/common/asio/asio_util.h" #include "ray/object_manager/plasma/store_runner.h" #include "ray/object_manager/spilled_object_reader.h" #include "ray/stats/metric_defs.h" - -namespace asio = boost::asio; +#include "ray/util/exponential_backoff.h" namespace ray { @@ -639,7 +641,8 @@ void ObjectManager::FreeObjects(const std::vector &object_ids, bool local_only) { buffer_pool_.FreeObjects(object_ids); if (!local_only) { - std::vector> rpc_clients; + std::vector>> + rpc_clients; // TODO(#56414): optimize this so we don't have to send a free objects request for // every object to every node const auto &node_info_map = gcs_client_.Nodes().GetAll(); @@ -649,7 +652,7 @@ void ObjectManager::FreeObjects(const std::vector &object_ids, } auto rpc_client = GetRpcClient(node_id); if (rpc_client != nullptr) { - rpc_clients.push_back(std::move(rpc_client)); + rpc_clients.emplace_back(node_id, std::move(rpc_client)); } } rpc_service_.post( @@ -662,23 +665,53 @@ void ObjectManager::FreeObjects(const std::vector &object_ids, void ObjectManager::SpreadFreeObjectsRequest( const std::vector &object_ids, - const std::vector> &rpc_clients) { + const std::vector< + std::pair>> + &rpc_clients) { // This code path should be called from node manager. rpc::FreeObjectsRequest free_objects_request; for (const auto &e : object_ids) { free_objects_request.add_object_ids(e.Binary()); } + for (const auto &entry : rpc_clients) { + // NOTE: The callback for FreeObjects is posted back onto the main_service_ since + // RetryFreeObjects accesses remote_object_manager_clients_ which is not thread safe. + entry.second->FreeObjects( + free_objects_request, + [this, node_id = entry.first, free_objects_request]( + const Status &status, const rpc::FreeObjectsReply &reply) { + if (!status.ok()) { + RetryFreeObjects(node_id, 0, free_objects_request); + } + }); + } +} - for (auto &rpc_client : rpc_clients) { - rpc_client->FreeObjects(free_objects_request, - [](const Status &status, const rpc::FreeObjectsReply &reply) { - if (!status.ok()) { - RAY_LOG(WARNING) - << "Send free objects request failed due to" - << status.message(); - } - }); +void ObjectManager::RetryFreeObjects( + const NodeID &node_id, + uint32_t attempt_number, + const rpc::FreeObjectsRequest &free_objects_request) { + if (!remote_object_manager_clients_.contains(node_id)) { + return; } + auto delay_ms = ExponentialBackoff::GetBackoffMs(attempt_number, 1000); + execute_after( + *main_service_, + [this, node_id, attempt_number, free_objects_request] { + auto it = remote_object_manager_clients_.find(node_id); + if (it == remote_object_manager_clients_.end()) { + return; + } + it->second->FreeObjects( + free_objects_request, + [this, node_id, attempt_number, free_objects_request]( + const Status &status, const rpc::FreeObjectsReply &reply) { + if (!status.ok()) { + RetryFreeObjects(node_id, attempt_number + 1, free_objects_request); + } + }); + }, + std::chrono::milliseconds(delay_ms)); } std::shared_ptr ObjectManager::GetRpcClient( diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 3a8658393a12..13595596ea65 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -18,6 +18,7 @@ #include #include #include +#include #include #include "absl/container/flat_hash_map.h" @@ -280,7 +281,9 @@ class ObjectManager : public ObjectManagerInterface, /// \param object_ids the The list of ObjectIDs to be deleted. void SpreadFreeObjectsRequest( const std::vector &object_ids, - const std::vector> &rpc_clients); + const std::vector< + std::pair>> + &rpc_clients); /// Pushing a known local object to a remote object manager. /// @@ -401,6 +404,15 @@ class ObjectManager : public ObjectManagerInterface, /// \param client_id Remote server client id void SendPullRequest(const ObjectID &object_id, const NodeID &client_id); + /// Retry free objects request + /// + /// \param node_id Remote node id + /// \param attempt_number Attempt number + /// \param free_objects_request Free objects request + void RetryFreeObjects(const NodeID &node_id, + uint32_t attempt_number, + const rpc::FreeObjectsRequest &free_objects_request); + /// Get the rpc client according to the node ID /// /// \param node_id Remote node id, will send rpc request to it From 1c689cb6a4c7e0167199cacd84465be5ad6995ce Mon Sep 17 00:00:00 2001 From: Masahiro Tanaka <81312776+tohtana@users.noreply.github.com> Date: Tue, 16 Sep 2025 10:01:29 -0700 Subject: [PATCH 1227/1566] [data] skip loading dynamic modules for HF datasets >= v4.0.0 (#55908) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Hugging Face Datasets v4.0.0 removed dataset scripts and the related “dynamic modules” mechanism (See https://github.com/huggingface/datasets/pull/7592), so `datasets.load.init_dynamic_modules` no longer exists. As `ray.data._internal.datasource.huggingface_datasource` currently imports/calls this function unconditionally, it raises: ``` AttributeError: module 'datasets.load' has no attribute 'init_dynamic_modules' ``` With this PR, Ray detects the legacy initializer and only calls it on Datasets ≤3.x. On Datasets ≥4.0.0 the block becomes a no-op. The behavior for older Datasets remains unchanged. ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Masahiro Tanaka Signed-off-by: Masahiro Tanaka <81312776+tohtana@users.noreply.github.com> Signed-off-by: Lonnie Liu Signed-off-by: Rueian Signed-off-by: Rueian Signed-off-by: Edward Oakes Signed-off-by: Jiajun Yao Signed-off-by: Matthew Owen Signed-off-by: Sagar Sumit Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Signed-off-by: Kai-Hsun Chen Signed-off-by: Matthew Deng Signed-off-by: Goutam V Signed-off-by: root Signed-off-by: Rui Qiao Signed-off-by: elliot-barn Signed-off-by: Yiwen Xiang Signed-off-by: Mao Yancan Signed-off-by: Mao Yancan Signed-off-by: Cuong Nguyen Signed-off-by: iamjustinhsu Signed-off-by: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Signed-off-by: dragongu Signed-off-by: Andrew Grosser 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Signed-off-by: Ibrahim Rabbani Signed-off-by: avigyabb Signed-off-by: avibasnet31 Signed-off-by: Tanner Wood Signed-off-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Signed-off-by: Ricardo Decal Signed-off-by: Matthew Signed-off-by: tianyi-ge Signed-off-by: can Signed-off-by: Alexey Kudinkin Signed-off-by: ahao-anyscale Signed-off-by: Lehui Liu Signed-off-by: Mark Rossetti Signed-off-by: hejialing.hjl Signed-off-by: qiwenju Signed-off-by: Q文举 <39372502+orangeQWJ@users.noreply.github.com> Signed-off-by: ljstrnadiii Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Co-authored-by: Rueian Co-authored-by: Dhyey Shah Co-authored-by: Edward Oakes Co-authored-by: Jiajun Yao Co-authored-by: Matthew Owen Co-authored-by: Sagar Sumit Co-authored-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: Justin Yu Co-authored-by: Kai-Hsun Chen 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dynamic_modules_path = os.path.join( - datasets.load.init_dynamic_modules(), "__init__.py" - ) - # load dynamic_modules from path - spec = importlib.util.spec_from_file_location( - "datasets_modules", dynamic_modules_path - ) - datasets_modules = importlib.util.module_from_spec(spec) - sys.modules[spec.name] = datasets_modules - spec.loader.exec_module(datasets_modules) + # Datasets >= 4.0 removed dataset scripts support and the dynamic-modules cache. + # Only initialize dynamic modules on <= 3.x where the initializer `init_dynamic_modules` exists. + DATASETS_VERSION = parse(importlib.metadata.version("datasets")) + DATASETS_VERSION_WITHOUT_SCRIPT_SUPPORT = parse("4.0.0") + + if DATASETS_VERSION < DATASETS_VERSION_WITHOUT_SCRIPT_SUPPORT: + dynamic_modules_path = os.path.join( + datasets.load.init_dynamic_modules(), "__init__.py" + ) + # load dynamic_modules from path + spec = importlib.util.spec_from_file_location( + "datasets_modules", dynamic_modules_path + ) + datasets_modules = importlib.util.module_from_spec(spec) + sys.modules[spec.name] = datasets_modules + spec.loader.exec_module(datasets_modules) except ImportError as e: TRANSFORMERS_IMPORT_ERROR = e From 6e1cd0c44cc6f3330605c217095e3c1d96cd4fca Mon Sep 17 00:00:00 2001 From: ahao-anyscale Date: Tue, 16 Sep 2025 10:46:04 -0700 Subject: [PATCH 1228/1566] [Data][llm] Add chat_template_kwargs as option when building processor (#56490) Signed-off-by: ahao-anyscale Signed-off-by: Douglas Strodtman --- python/ray/data/llm.py | 6 +- .../batch/processor/sglang_engine_proc.py | 3 + .../batch/processor/vllm_engine_proc.py | 4 ++ .../batch/stages/chat_template_stage.py | 4 ++ .../cpu/stages/test_chat_template_stage.py | 70 +++++++++++++++++++ 5 files changed, 86 insertions(+), 1 deletion(-) diff --git a/python/ray/data/llm.py b/python/ray/data/llm.py index a0718c597e98..e5d8ee62bab6 100644 --- a/python/ray/data/llm.py +++ b/python/ray/data/llm.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Any, Dict, Optional from ray.data.block import UserDefinedFunction from ray.llm._internal.batch.processor import ( @@ -366,6 +366,7 @@ class ServeDeploymentProcessorConfig(_ServeDeploymentProcessorConfig): @PublicAPI(stability="alpha") def build_llm_processor( config: ProcessorConfig, + chat_template_kwargs: Optional[Dict[str, Any]] = None, preprocess: Optional[UserDefinedFunction] = None, postprocess: Optional[UserDefinedFunction] = None, ) -> Processor: @@ -373,6 +374,7 @@ def build_llm_processor( Args: config: The processor config. + chat_template_kwargs: The optional kwargs to pass apply_chat_template. preprocess: An optional lambda function that takes a row (dict) as input and returns a preprocessed row (dict). The output row must contain the required fields for the following processing stages. Each row @@ -383,6 +385,7 @@ def build_llm_processor( and returns a postprocessed row (dict). To keep all the original columns, you can use the `**row` syntax to return all the original columns. + Returns: The built processor. @@ -432,6 +435,7 @@ def build_llm_processor( return ProcessorBuilder.build( config, + chat_template_kwargs=chat_template_kwargs, preprocess=preprocess, postprocess=postprocess, ) diff --git a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py index 602536fc0ad5..119d4922d664 100644 --- a/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/sglang_engine_proc.py @@ -55,6 +55,7 @@ def validate_task_type(cls, values): def build_sglang_engine_processor( config: SGLangEngineProcessorConfig, + chat_template_kwargs: Optional[Dict[str, Any]] = None, preprocess: Optional[UserDefinedFunction] = None, postprocess: Optional[UserDefinedFunction] = None, telemetry_agent: Optional[TelemetryAgent] = None, @@ -62,6 +63,7 @@ def build_sglang_engine_processor( """Construct a Processor and configure stages. Args: config: The configuration for the processor. + chat_template_kwargs: The optional kwargs to pass to apply_chat_template. preprocess: An optional lambda function that takes a row (dict) as input and returns a preprocessed row (dict). The output row must contain the required fields for the following processing stages. @@ -82,6 +84,7 @@ def build_sglang_engine_processor( fn_constructor_kwargs=dict( model=config.model_source, chat_template=config.chat_template, + chat_template_kwargs=chat_template_kwargs, ), map_batches_kwargs=dict( zero_copy_batch=True, diff --git a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py index da88c482feb8..707ef54d6f18 100644 --- a/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py +++ b/python/ray/llm/_internal/batch/processor/vllm_engine_proc.py @@ -68,6 +68,7 @@ def validate_task_type(cls, values): def build_vllm_engine_processor( config: vLLMEngineProcessorConfig, + chat_template_kwargs: Optional[Dict[str, Any]] = None, preprocess: Optional[UserDefinedFunction] = None, postprocess: Optional[UserDefinedFunction] = None, telemetry_agent: Optional[TelemetryAgent] = None, @@ -75,6 +76,7 @@ def build_vllm_engine_processor( """Construct a Processor and configure stages. Args: config: The configuration for the processor. + chat_template_kwargs: The optional kwargs to pass to apply_chat_template. preprocess: An optional lambda function that takes a row (dict) as input and returns a preprocessed row (dict). The output row must contain the required fields for the following processing stages. @@ -82,6 +84,7 @@ def build_vllm_engine_processor( and returns a postprocessed row (dict). telemetry_agent: An optional telemetry agent for collecting usage telemetry. + Returns: The constructed processor. """ @@ -105,6 +108,7 @@ def build_vllm_engine_processor( fn_constructor_kwargs=dict( model=config.model_source, chat_template=config.chat_template, + chat_template_kwargs=chat_template_kwargs, ), map_batches_kwargs=dict( zero_copy_batch=True, diff --git a/python/ray/llm/_internal/batch/stages/chat_template_stage.py b/python/ray/llm/_internal/batch/stages/chat_template_stage.py index c2df95ac4254..92d453dbb103 100644 --- a/python/ray/llm/_internal/batch/stages/chat_template_stage.py +++ b/python/ray/llm/_internal/batch/stages/chat_template_stage.py @@ -19,6 +19,7 @@ def __init__( expected_input_keys: List[str], model: str, chat_template: Optional[str] = None, + chat_template_kwargs: Optional[Dict[str, Any]] = None, ): """ Initialize the ChatTemplateUDF. @@ -30,6 +31,7 @@ def __init__( chat_template: The chat template in Jinja template format. This is usually not needed if the model checkpoint already contains the chat template. + chat_template_kwargs: The optional kwargs to pass apply_chat_template. """ from transformers import AutoProcessor @@ -53,6 +55,7 @@ def __init__( "PreTrainedTokenizerBase", "ProcessorMixin" ] = AutoProcessor.from_pretrained(model_path, trust_remote_code=True) self.chat_template = chat_template + self.chat_template_kwargs = chat_template_kwargs async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any]]: """ @@ -84,6 +87,7 @@ async def udf(self, batch: List[Dict[str, Any]]) -> AsyncIterator[Dict[str, Any] chat_template=self.chat_template, add_generation_prompt=add_generation_prompt, continue_final_message=continue_final_message, + **(self.chat_template_kwargs or {}), ) ) assert len(batch) == len(prompts) diff --git a/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py b/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py index 2f683d635aa1..64f6bb981c61 100644 --- a/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py +++ b/python/ray/llm/tests/batch/cpu/stages/test_chat_template_stage.py @@ -89,6 +89,76 @@ async def test_chat_template_udf_multiple_messages(mock_tokenizer_setup): assert mock_tokenizer.apply_chat_template.call_count == 2 +@pytest.mark.asyncio +@pytest.mark.parametrize( + "chat_template_kwargs, expected_prompt", + [ + ({"enable_thinking": False}, "Answer without thinking"), + ({"enable_thinking": True}, "thinking"), + ({}, "thinking"), + ( + {"enable_thinking": True, "custom_param": "test_value", "temperature": 0.7}, + "thinking", + ), + ], +) +async def test_chat_template_udf_chat_template_kwargs( + mock_tokenizer_setup, chat_template_kwargs, expected_prompt +): + mock_tokenizer = mock_tokenizer_setup + + # Store captured kwargs for verification + captured_kwargs = {} + + def side_effect_func(conversation, **kwargs): + # Capture all kwargs for later verification + captured_kwargs.update(kwargs) + + enable_thinking = kwargs.get("enable_thinking", True) + if enable_thinking is False: + return "Answer without thinking" + else: + return "thinking" + + mock_tokenizer.apply_chat_template.side_effect = side_effect_func + + udf = ChatTemplateUDF( + data_column="__data", + expected_input_keys=["messages"], + model="test-model", + chat_template_kwargs=chat_template_kwargs, + ) + + # Assert that the chat_template_kwargs were properly stored + assert udf.chat_template_kwargs == chat_template_kwargs + + batch = { + "__data": [ + { + "messages": MagicMock( + tolist=lambda: [{"role": "user", "content": "Hello AI"}] + ) + } + ] + } + + results = [] + async for result in udf(batch): + results.extend(result["__data"]) + + assert len(results) == 1 + assert results[0]["prompt"] == expected_prompt + + # Verify that all chat_template_kwargs were passed through to apply_chat_template + for key, value in chat_template_kwargs.items(): + assert ( + key in captured_kwargs + ), f"Expected kwargs key '{key}' not found in captured kwargs" + assert ( + captured_kwargs[key] == value + ), f"Expected '{key}': {value}, but got '{key}': {captured_kwargs[key]}" + + @pytest.mark.asyncio async def test_chat_template_udf_assistant_prefill(mock_tokenizer_setup): mock_tokenizer = mock_tokenizer_setup From ca49e11a9aae32d59f6c2f0244d4a1114235b65d Mon Sep 17 00:00:00 2001 From: vie-serendipity <2733147505@qq.com> Date: Wed, 17 Sep 2025 02:47:36 +0800 Subject: [PATCH 1229/1566] [docs] run apt-get update before install for ray debugger (#56579) ## Why are these changes needed? Optimize document content to enhance user experience. It'd be better run apt-get update before install. In my case, directly install will fail. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [x] This PR is not tested :( --------- Signed-off-by: vie-serendipity <2733147505@qq.com> Signed-off-by: Philipp Moritz Co-authored-by: Philipp Moritz Signed-off-by: Douglas Strodtman --- doc/source/ray-observability/ray-distributed-debugger.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/ray-observability/ray-distributed-debugger.rst b/doc/source/ray-observability/ray-distributed-debugger.rst index 461fd7db91a1..5d390ca80d57 100644 --- a/doc/source/ray-observability/ray-distributed-debugger.rst +++ b/doc/source/ray-observability/ray-distributed-debugger.rst @@ -64,7 +64,7 @@ Start a Ray cluster .. code-block:: bash - sudo apt-get install openssh-server + sudo apt-get update && sudo apt-get install -y openssh-server sudo mkdir -p /run/sshd sudo /usr/sbin/sshd -D From 27aca5187d33a9dd923ac76190b4e7d536c15455 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 16 Sep 2025 11:58:53 -0700 Subject: [PATCH 1230/1566] [Data] Fix a typo (#56587) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/execution/autoscaling_requester.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/autoscaling_requester.py b/python/ray/data/_internal/execution/autoscaling_requester.py index 512c3c16f488..9ef1be6b598b 100644 --- a/python/ray/data/_internal/execution/autoscaling_requester.py +++ b/python/ray/data/_internal/execution/autoscaling_requester.py @@ -114,7 +114,7 @@ def _test_set_timeout(self, ttl): def get_or_create_autoscaling_requester_actor(): ctx = DataContext.get_current() scheduling_strategy = ctx.scheduling_strategy - # Pin the stats actor to the local node so it fate-shares with the driver. + # Pin the autoscaling requester actor to the local node so it fate-shares with the driver. # Note: for Ray Client, the ray.get_runtime_context().get_node_id() should # point to the head node. scheduling_strategy = NodeAffinitySchedulingStrategy( From 160aab8652ae06662138705e78c596e1058ca233 Mon Sep 17 00:00:00 2001 From: Praveen Date: Tue, 16 Sep 2025 12:05:37 -0700 Subject: [PATCH 1231/1566] Add parallelism parameter to read_snowflake (#56588) ## Why are these changes needed? Adding this for consistency. Eventually we will deprecate this param everywhere. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Praveen Gorthy Signed-off-by: Douglas Strodtman --- python/ray/data/read_api.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 5ead3a4eead5..578a706c3d2b 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -2440,6 +2440,7 @@ def read_snowflake( sql: str, connection_parameters: Dict[str, Any], *, + parallelism: int = -1, shard_keys: Optional[list[str]] = None, ray_remote_args: Dict[str, Any] = None, concurrency: Optional[int] = None, @@ -2468,6 +2469,7 @@ def read_snowflake( connection_parameters: Keyword arguments to pass to ``snowflake.connector.connect``. To view supported parameters, read https://docs.snowflake.com/developer-guide/python-connector/python-connector-api#functions. + parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. shard_keys: The keys to shard the data by. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this @@ -2493,6 +2495,7 @@ def snowflake_connection_factory(): connection_factory=snowflake_connection_factory, shard_keys=shard_keys, shard_hash_fn="hash", + parallelism=parallelism, ray_remote_args=ray_remote_args, concurrency=concurrency, override_num_blocks=override_num_blocks, From 11cb5e69d91aa171778e57ac4aad93c8bd9172de Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 16 Sep 2025 12:33:58 -0700 Subject: [PATCH 1232/1566] [ci] disable running release tests that have been long failing (#56561) these test have been failing with no visible actions following up so far, and they are not marked as release blocking Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index bf7146fb92f9..aa4a13c0b22e 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -236,7 +236,9 @@ group: AIR tests working_dir: air_tests/air_benchmarks - frequency: weekly + # Failing since Aug 2024 + # https://github.com/ray-project/ray/issues/46687 + frequency: manual team: ml cluster: @@ -252,7 +254,7 @@ num_nodes: 4 smoke_test: - frequency: nightly + frequency: manual cluster: cluster_compute: compute_gpu_2x2_aws.yaml @@ -557,7 +559,9 @@ group: AIR tests working_dir: air_tests/air_benchmarks - frequency: nightly + # Jailed with + # https://github.com/ray-project/ray/issues/56282 + frequency: manual team: ml stable: false @@ -620,7 +624,9 @@ stable: false - frequency: nightly + # Failing since Aug 2025. + # https://github.com/ray-project/ray/issues/52562 + frequency: manual team: data cluster: @@ -4094,7 +4100,9 @@ stable: false - frequency: nightly + # Failing since Oct 2024. + # https://github.com/ray-project/ray/issues/36190 + frequency: manual team: serve cluster: byod: {} From f81434c92f6a3b03939fcec776a4ecd95b08b586 Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Tue, 16 Sep 2025 12:36:57 -0700 Subject: [PATCH 1233/1566] [Serve] Resolve test_deploy_app.py flakiness (#55721) **Root cause for flakiness for `test_deploy_app.py::test_deploy_nonexistent_deployment`:** The test purposefully deploys 1 valid app(`app1`) and 1 invalid app(`random1`). The invalid app immediately fails to deploy, but `app1` enters the `serve_instance` fixture clean up process while it's still being deployed. By the time `ServeControllerClient.delete_apps` is reached, `app1` is still being deployed and the deployment completes within the retry loop of `ServeControllerClient.delete_apps`, changing the app status to be `RUNNING`, [so the cleanup never reaches `NOT_STARTED` and times out](https://buildkite.com/ray-project/postmerge/builds/12352#0198c318-c83e-4276-9d79-ea53b86e8219/177-1702). As you can see from the log below when the test fails, the app status of `app1` changes as `DEPLOYING` -> `DELETING` -> `DEPLOYING` -> `RUNNING`. This happens as `app1` gets successfully deployed after `self._controller.delete_apps.remote(names)` was ran within `client.py::delete_apps` as part of the test clean up process. This triggers `ApplicateState.delete()`, which just sets the target state to be deleted. It does not check if there's an ongoing deployment target of an app and cancels if it finds one. Hence, if the triggered deployment within the test for `app1` gets built after `self._controller.delete_apps.remote(names)` was ran, the app status gets flipped to `DEPLOYING` again, and eventually `RUNNING`. As `client.py::delete_apps()` waits for the status of `app1` to become `NOT_STARTED` after completing deletion, it never reaches the status and the test fails. This is why waiting for app1 to be built within the test passes the test successfully as it does not allow the race. log with debugging statements for failing case: ``` (ray) ubuntu@devbox:~/repo/ray$ pytest -vv -vs python/ray/serve/tests/test_deploy_app.py::test_deploy_nonexistent_deployment =================================================================================== test session starts =================================================================================== platform linux -- Python 3.10.16, pytest-8.4.0, pluggy-1.6.0 -- /home/ubuntu/.conda/envs/ray/bin/python3.10 cachedir: .pytest_cache rootdir: /home/ubuntu/repo/ray configfile: pytest.ini plugins: asyncio-1.1.0, anyio-4.9.0 asyncio: mode=strict, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 1 item python/ray/serve/tests/test_deploy_app.py::test_deploy_nonexistent_deployment 2025-09-05 00:21:56,862 INFO worker.py:1939 -- Started a local Ray instance. View the dashboard at 127.0.0.1:8265 2025-09-05 00:21:58,310 WARNING worker.py:1987 -- Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 (ProxyActor pid=4176372) INFO 2025-09-05 00:22:00,312 proxy 172.31.3.87 -- Proxy starting on node 600f310606e732b406b09a0c97199df6d72ed42b5e63b4434c0d6883 (HTTP port: 8000, gRPC port: 9000). INFO 2025-09-05 00:22:00,418 serve 4175954 -- Started Serve in namespace "serve". (ProxyActor pid=4176372) INFO 2025-09-05 00:22:00,410 proxy 172.31.3.87 -- Got updated endpoints: {}. @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING (ServeController pid=4176371) INFO 2025-09-05 00:22:00,428 controller 4176371 -- Deploying new app 'app1'. (ServeController pid=4176371) INFO 2025-09-05 00:22:00,428 controller 4176371 -- Importing and building app 'app1'. (ServeController pid=4176371) INFO 2025-09-05 00:22:00,436 controller 4176371 -- Deploying new app 'random1'. (ServeController pid=4176371) INFO 2025-09-05 00:22:00,436 controller 4176371 -- Importing and building app 'random1'. @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOYING (ServeController pid=4176371) INFO 2025-09-05 00:22:01,525 controller 4176371 -- Imported and built app 'random1' successfully. (ServeController pid=4176371) ERROR 2025-09-05 00:22:01,527 controller 4176371 -- Traceback (most recent call last): (ServeController pid=4176371) File "/home/ubuntu/repo/ray/python/ray/serve/_private/application_state.py", line 691, in _reconcile_build_app_task (ServeController pid=4176371) overrided_infos = override_deployment_info( (ServeController pid=4176371) File "/home/ubuntu/repo/ray/python/ray/serve/_private/application_state.py", line 1257, in override_deployment_info (ServeController pid=4176371) raise ValueError( (ServeController pid=4176371) ValueError: Deployment 'random2' does not exist. Available: ['Multiplier', 'Adder', 'Router'] (ServeController pid=4176371) (build_serve_application pid=4176370) INFO 2025-09-05 00:22:01,497 controller build_random1_4176370 -- Importing application 'random1'. @@@@@@@@@ check_app_message::details[applications][app1][status]: DEPLOYING @@@@@@@@@ check_app_message::details[applications][random1][status]: DEPLOY_FAILED PASSEDINFO 2025-09-05 00:22:01,570 serve 4175954 -- Deleting app ['app1', 'random1'] INFO 2025-09-05 00:22:01,575 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: DELETING INFO 2025-09-05 00:22:01,576 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: DELETING (ServeController pid=4176371) INFO 2025-09-05 00:22:01,635 controller 4176371 -- Imported and built app 'app1' successfully. (ServeController pid=4176371) INFO 2025-09-05 00:22:01,640 controller 4176371 -- Deploying new version of Deployment(name='Multiplier', app='app1') (initial target replicas: 1). (ServeController pid=4176371) INFO 2025-09-05 00:22:01,641 controller 4176371 -- Deploying new version of Deployment(name='Adder', app='app1') (initial target replicas: 1). (ServeController pid=4176371) INFO 2025-09-05 00:22:01,643 controller 4176371 -- Deploying new version of Deployment(name='Router', app='app1') (initial target replicas: 1). (ProxyActor pid=4176372) INFO 2025-09-05 00:22:01,652 proxy 172.31.3.87 -- Got updated endpoints: {Deployment(name='Router', app='app1'): EndpointInfo(route='/app1', app_is_cross_language=False)}. (ProxyActor pid=4176372) INFO 2025-09-05 00:22:01,686 proxy 172.31.3.87 -- Started . (ServeController pid=4176371) INFO 2025-09-05 00:22:01,766 controller 4176371 -- Adding 1 replica to Deployment(name='Multiplier', app='app1'). (ServeController pid=4176371) INFO 2025-09-05 00:22:01,774 controller 4176371 -- Adding 1 replica to Deployment(name='Adder', app='app1'). (ServeController pid=4176371) INFO 2025-09-05 00:22:01,782 controller 4176371 -- Adding 1 replica to Deployment(name='Router', app='app1'). INFO 2025-09-05 00:22:02,582 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: DEPLOYING INFO 2025-09-05 00:22:02,582 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED (ServeReplica:app1:Multiplier pid=4176759) /home/ubuntu/repo/ray/python/ray/serve/_private/replica.py:1397: UserWarning: Calling sync method 'reconfigure' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1. (ServeReplica:app1:Multiplier pid=4176759) warnings.warn( INFO 2025-09-05 00:22:03,588 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: DEPLOYING INFO 2025-09-05 00:22:03,588 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:04,593 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:04,593 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:05,597 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:05,598 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:06,602 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:06,603 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:07,607 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:07,607 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:08,612 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:08,612 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:09,616 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:09,616 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:10,621 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:10,621 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:11,630 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:11,630 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:12,634 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:12,634 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:13,661 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:13,661 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:14,665 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:14,666 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:15,670 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:15,670 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:16,674 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:16,675 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:17,683 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:17,683 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:18,687 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:18,688 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:19,692 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:19,692 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:20,697 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:20,698 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:21,713 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:21,714 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:22,718 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:22,718 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:23,722 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:23,722 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:24,727 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:24,727 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:25,732 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:25,733 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:26,742 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:26,742 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:27,748 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:27,749 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:28,755 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:28,755 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:29,765 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:29,765 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:30,775 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:30,776 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:31,807 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:31,807 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:32,813 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:32,813 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:33,818 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:33,818 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:34,825 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:34,825 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:35,830 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:35,830 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:36,839 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:36,839 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:37,842 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:37,843 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:38,847 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:38,847 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:39,852 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:39,852 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:40,856 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:40,856 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:41,862 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:41,862 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:42,867 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:42,867 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:43,871 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:43,872 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:44,876 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:44,876 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:45,886 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:45,888 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:46,906 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:46,906 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:47,925 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:47,925 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:48,930 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:48,931 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:49,935 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:49,935 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:50,946 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:50,947 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:51,951 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:51,952 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:52,956 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:52,956 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:53,960 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:53,960 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:54,965 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:54,965 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:55,969 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:55,969 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:56,975 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:56,975 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:57,980 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:57,980 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:58,984 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:58,984 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:22:59,989 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:22:59,989 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED INFO 2025-09-05 00:23:00,993 serve 4175954 -- @@@@@@@@@ delete_apps::Application app1 status: RUNNING INFO 2025-09-05 00:23:00,994 serve 4175954 -- @@@@@@@@@ delete_apps::Application random1 status: NOT_STARTED python/ray/serve/tests/test_deploy_app.py::test_deploy_nonexistent_deployment ERROR ========================================================================================= ERRORS ========================================================================================== _________________________________________________________________ ERROR at teardown of test_deploy_nonexistent_deployment _________________________________________________________________ _shared_serve_instance = @pytest.fixture def serve_instance(_shared_serve_instance): yield _shared_serve_instance # Clear all state for 2.x applications and deployments. > _shared_serve_instance.delete_all_apps() python/ray/serve/tests/conftest.py:159: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ python/ray/serve/_private/client.py:53: in check return f(self, *args, **kwargs) python/ray/serve/_private/client.py:397: in delete_all_apps self.delete_apps(all_apps, blocking) python/ray/serve/_private/client.py:53: in check return f(self, *args, **kwargs) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , names = ['app1', 'random1'], blocking = True @_ensure_connected def delete_apps(self, names: List[str], blocking: bool = True): if not names: return logger.info(f"Deleting app {names}") self._controller.delete_apps.remote(names) if blocking: start = time.time() while time.time() - start < 60: curr_statuses_bytes = ray.get( self._controller.get_serve_statuses.remote(names) ) all_deleted = True for cur_status_bytes in curr_statuses_bytes: cur_status = StatusOverview.from_proto( StatusOverviewProto.FromString(cur_status_bytes) ) logger.info(f"@@@@@@@@@ delete_apps::Application {cur_status.name} status: {cur_status.app_status.status}") if cur_status.app_status.status != ApplicationStatus.NOT_STARTED: all_deleted = False if all_deleted: return time.sleep(CLIENT_POLLING_INTERVAL_S) else: > raise TimeoutError( f"Some of these applications weren't deleted after 60s: {names}" ) E TimeoutError: Some of these applications weren't deleted after 60s: ['app1', 'random1'] python/ray/serve/_private/client.py:385: TimeoutError ================================================================================= short test summary info ================================================================================= ERROR python/ray/serve/tests/test_deploy_app.py::test_deploy_nonexistent_deployment - TimeoutError: Some of these applications weren't deleted after 60s: ['app1', 'random1'] ========================================================================== 1 passed, 1 error in 70.34s (0:01:10) ========================================================================== (build_serve_application pid=4176369) INFO 2025-09-05 00:22:01,596 controller build_app1_4176369 -- Importing application 'app1'. (ServeReplica:app1:Adder pid=4176870) /home/ubuntu/repo/ray/python/ray/serve/_private/replica.py:1397: UserWarning: Calling sync method 'reconfigure' directly on the asyncio loop. In a future version, sync methods will be run in a threadpool by default. Ensure your sync methods are thread safe or keep the existing behavior by making them `async def`. Opt into the new behavior by setting RAY_SERVE_RUN_SYNC_IN_THREADPOOL=1. (ServeReplica:app1:Adder pid=4176870) warnings.warn( ``` **Solution:** When the target state is set to delete, do not allow to build task for deployment. --------- Signed-off-by: doyoung Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 33 ++++++++++--------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 6f5a36bb3d59..6873a8584fd3 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -829,22 +829,25 @@ def update(self) -> Tuple[bool, bool]: Whether the target state has changed. """ - infos, task_status, msg = self._reconcile_build_app_task() target_state_changed = False - if task_status == BuildAppStatus.SUCCEEDED: - target_state_changed = True - self._set_target_state( - deployment_infos=infos, - code_version=self._build_app_task_info.code_version, - api_type=self._target_state.api_type, - target_config=self._build_app_task_info.config, - target_capacity=self._build_app_task_info.target_capacity, - target_capacity_direction=( - self._build_app_task_info.target_capacity_direction - ), - ) - elif task_status == BuildAppStatus.FAILED: - self._update_status(ApplicationStatus.DEPLOY_FAILED, msg) + # If the application is being deleted, ignore any build task results to + # avoid flipping the state back to DEPLOYING/RUNNING. + if not self._target_state.deleting: + infos, task_status, msg = self._reconcile_build_app_task() + if task_status == BuildAppStatus.SUCCEEDED: + target_state_changed = True + self._set_target_state( + deployment_infos=infos, + code_version=self._build_app_task_info.code_version, + api_type=self._target_state.api_type, + target_config=self._build_app_task_info.config, + target_capacity=self._build_app_task_info.target_capacity, + target_capacity_direction=( + self._build_app_task_info.target_capacity_direction + ), + ) + elif task_status == BuildAppStatus.FAILED: + self._update_status(ApplicationStatus.DEPLOY_FAILED, msg) # Only reconcile deployments when the build app task is finished. If # it's not finished, we don't know what the target list of deployments From fc79126ba33a307e029ce7068a998301060de034 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 16 Sep 2025 13:21:55 -0700 Subject: [PATCH 1234/1566] [image] add test rules for image building files (#56554) so that they do not trigger other tests Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/pipeline/test_rules.txt | 3 +++ 1 file changed, 3 insertions(+) diff --git a/ci/pipeline/test_rules.txt b/ci/pipeline/test_rules.txt index 9bb208c2a0fb..cd8b5351d260 100644 --- a/ci/pipeline/test_rules.txt +++ b/ci/pipeline/test_rules.txt @@ -139,6 +139,8 @@ cpp/ docker/ .buildkite/pipeline.build_cpp.yml +.buildkite/_images.rayci.yml +.buildkite/release/_images.rayci.yml @ docker linux_wheels ; @@ -206,6 +208,7 @@ ci/docker/forge.wanda.yaml ci/docker/forge.aarch64.wanda.yaml .buildkite/pipeline.build.yml .buildkite/hooks/post-command +.buildkite/release/ .buildkite/release-automation/ @ tools ; From ff037e8fbf615f429fb9f37de194c46b3d5a94ab Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Tue, 16 Sep 2025 20:23:23 +0000 Subject: [PATCH 1235/1566] [Core] Update cluster scheduler to handle label selector hard node id constraint (#56235) Signed-off-by: Ryan O'Leary Signed-off-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: Mengjin Yan Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/common/scheduling/BUILD.bazel | 1 + src/ray/common/scheduling/label_selector.h | 16 +++ src/ray/core_worker/lease_policy.cc | 11 +++ .../scheduling/cluster_lease_manager.cc | 9 +- .../scheduling/cluster_resource_manager.h | 1 + .../scheduling/cluster_resource_scheduler.h | 1 + .../tests/cluster_resource_scheduler_test.cc | 98 +++++++++++++++++++ 7 files changed, 134 insertions(+), 3 deletions(-) diff --git a/src/ray/common/scheduling/BUILD.bazel b/src/ray/common/scheduling/BUILD.bazel index baac27e1096f..b695add72481 100644 --- a/src/ray/common/scheduling/BUILD.bazel +++ b/src/ray/common/scheduling/BUILD.bazel @@ -21,6 +21,7 @@ ray_cc_library( srcs = ["label_selector.cc"], hdrs = ["label_selector.h"], deps = [ + "//src/ray/common:constants", "//src/ray/protobuf:common_cc_proto", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/strings", diff --git a/src/ray/common/scheduling/label_selector.h b/src/ray/common/scheduling/label_selector.h index 884d64325975..e0fe689b8436 100644 --- a/src/ray/common/scheduling/label_selector.h +++ b/src/ray/common/scheduling/label_selector.h @@ -14,12 +14,14 @@ #pragma once +#include #include #include #include #include "absl/container/flat_hash_set.h" #include "google/protobuf/map.h" +#include "ray/common/constants.h" #include "src/ray/protobuf/common.pb.h" namespace ray { @@ -104,4 +106,18 @@ H AbslHashValue(H h, const LabelSelector &label_selector) { return h; } +inline std::optional> GetHardNodeAffinityValues( + const LabelSelector &label_selector) { + const std::string hard_affinity_key(kLabelKeyNodeID); + + for (const auto &constraint : label_selector.GetConstraints()) { + if (constraint.GetLabelKey() == hard_affinity_key) { + if (constraint.GetOperator() == LabelSelectorOperator::LABEL_IN) { + return constraint.GetLabelValues(); + } + } + } + return std::nullopt; +} + } // namespace ray diff --git a/src/ray/core_worker/lease_policy.cc b/src/ray/core_worker/lease_policy.cc index f1efd15e951c..f64ea1c1e155 100644 --- a/src/ray/core_worker/lease_policy.cc +++ b/src/ray/core_worker/lease_policy.cc @@ -30,6 +30,17 @@ std::pair LocalityAwareLeasePolicy::GetBestNodeForLease( return std::make_pair(fallback_rpc_address_, false); } + // Node Affinity specified through label selectors has higher + // priority than locality aware scheduling. + if (auto node_id_values = GetHardNodeAffinityValues(spec.GetLabelSelector())) { + for (const auto &node_id_hex : *node_id_values) { + if (auto addr = node_addr_factory_(NodeID::FromHex(node_id_hex))) { + return std::make_pair(addr.value(), false); + } + } + return std::make_pair(fallback_rpc_address_, false); + } + if (spec.IsNodeAffinitySchedulingStrategy()) { // The explicit node affinity scheduling strategy // has higher priority than locality aware scheduling. diff --git a/src/ray/raylet/scheduling/cluster_lease_manager.cc b/src/ray/raylet/scheduling/cluster_lease_manager.cc index 61893fc29de8..c94c03440618 100644 --- a/src/ray/raylet/scheduling/cluster_lease_manager.cc +++ b/src/ray/raylet/scheduling/cluster_lease_manager.cc @@ -230,8 +230,11 @@ void ClusterLeaseManager::ScheduleAndGrantLeases() { << lease.GetLeaseSpecification().LeaseId() << " is infeasible?" << is_infeasible; - if (lease.GetLeaseSpecification().IsNodeAffinitySchedulingStrategy() && - !lease.GetLeaseSpecification().GetNodeAffinitySchedulingStrategySoft()) { + auto affinity_values = + GetHardNodeAffinityValues(lease.GetLeaseSpecification().GetLabelSelector()); + if ((lease.GetLeaseSpecification().IsNodeAffinitySchedulingStrategy() && + !lease.GetLeaseSpecification().GetNodeAffinitySchedulingStrategySoft()) || + (affinity_values.has_value() && !affinity_values->empty())) { // This can only happen if the target node doesn't exist or is infeasible. // The lease will never be schedulable in either case so we should fail it. if (cluster_resource_scheduler_.IsLocalNodeWithRaylet()) { @@ -318,7 +321,7 @@ void ClusterLeaseManager::TryScheduleInfeasibleLease() { /*requires_object_store_memory*/ false, &is_infeasible); - // There is no node that has available resources to run the request. + // There is no node that has feasible resources to run the request. // Move on to the next shape. if (is_infeasible) { RAY_LOG(DEBUG) << "No feasible node found for lease " diff --git a/src/ray/raylet/scheduling/cluster_resource_manager.h b/src/ray/raylet/scheduling/cluster_resource_manager.h index 58bde9688105..6f69f67c0e2c 100644 --- a/src/ray/raylet/scheduling/cluster_resource_manager.h +++ b/src/ray/raylet/scheduling/cluster_resource_manager.h @@ -203,6 +203,7 @@ class ClusterResourceManager { FRIEND_TEST(ClusterResourceSchedulerTest, TestForceSpillback); FRIEND_TEST(ClusterResourceSchedulerTest, AffinityWithBundleScheduleTest); FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest); + FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorHardNodeAffinityTest); friend class raylet::SchedulingPolicyTest; friend class raylet_scheduling_policy::HybridSchedulingPolicyTest; diff --git a/src/ray/raylet/scheduling/cluster_resource_scheduler.h b/src/ray/raylet/scheduling/cluster_resource_scheduler.h index 2df66334975f..c60bd2d86aa8 100644 --- a/src/ray/raylet/scheduling/cluster_resource_scheduler.h +++ b/src/ray/raylet/scheduling/cluster_resource_scheduler.h @@ -248,6 +248,7 @@ class ClusterResourceScheduler { FRIEND_TEST(ClusterResourceSchedulerTest, TestForceSpillback); FRIEND_TEST(ClusterResourceSchedulerTest, AffinityWithBundleScheduleTest); FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest); + FRIEND_TEST(ClusterResourceSchedulerTest, LabelSelectorHardNodeAffinityTest); }; } // end namespace ray diff --git a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc index 9614fa22a737..52682e2acd48 100644 --- a/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc +++ b/src/ray/raylet/scheduling/tests/cluster_resource_scheduler_test.cc @@ -1867,6 +1867,104 @@ TEST_F(ClusterResourceSchedulerTest, LabelSelectorIsSchedulableOnNodeTest) { ASSERT_FALSE(is_infeasible); } +TEST_F(ClusterResourceSchedulerTest, LabelSelectorHardNodeAffinityTest) { + // Setup scheduler with two nodes. + absl::flat_hash_map node_resources_map({{ResourceID::CPU(), 1}}); + NodeResources node_resources = CreateNodeResources(node_resources_map); + auto local_node_id = scheduling::NodeID(NodeID::FromRandom().Binary()); + instrumented_io_context io_context; + ClusterResourceScheduler resource_scheduler( + io_context, local_node_id, {{"CPU", 0}}, is_node_available_fn_); + + auto node_0_id_obj = NodeID::FromRandom(); + auto node_1_id_obj = NodeID::FromRandom(); + auto node_0 = scheduling::NodeID(node_0_id_obj.Binary()); + auto node_1 = scheduling::NodeID(node_1_id_obj.Binary()); + resource_scheduler.GetClusterResourceManager().AddOrUpdateNode(node_0, node_resources); + resource_scheduler.GetClusterResourceManager().AddOrUpdateNode(node_1, node_resources); + + // Set required node labels. + absl::flat_hash_map node_0_labels = { + {"ray.io/node-id", node_0_id_obj.Hex()}, + }; + absl::flat_hash_map node_1_labels = { + {"ray.io/node-id", node_1_id_obj.Hex()}, + }; + resource_scheduler.GetClusterResourceManager().SetNodeLabels(node_0, node_0_labels); + resource_scheduler.GetClusterResourceManager().SetNodeLabels(node_1, node_1_labels); + + ResourceRequest base_resource_request = CreateResourceRequest({{ResourceID::CPU(), 1}}); + int64_t violations; + bool is_infeasible; + rpc::SchedulingStrategy scheduling_strategy; + scheduling_strategy.mutable_default_scheduling_strategy(); + + // Schedule on a single specified node. + { + LabelSelector selector; + selector.AddConstraint(LabelConstraint( + "ray.io/node-id", LabelSelectorOperator::LABEL_IN, {node_0_id_obj.Hex()})); + ResourceRequest request = base_resource_request; + request.SetLabelSelector(selector); + + auto result_node_id = resource_scheduler.GetBestSchedulableNode(request, + scheduling_strategy, + false, + false, + std::string(), + &violations, + &is_infeasible); + ASSERT_EQ(result_node_id, node_0); + ASSERT_FALSE(is_infeasible); + } + + // Schedule on one of two specified nodes (in() operator). + { + LabelSelector selector; + selector.AddConstraint(LabelConstraint("ray.io/node-id", + LabelSelectorOperator::LABEL_IN, + {node_0_id_obj.Hex(), node_1_id_obj.Hex()})); + ResourceRequest request = base_resource_request; + request.SetLabelSelector(selector); + + auto result_node_id = resource_scheduler.GetBestSchedulableNode(request, + scheduling_strategy, + false, + false, + std::string(), + &violations, + &is_infeasible); + ASSERT_TRUE(result_node_id == node_0 || result_node_id == node_1); + ASSERT_FALSE(is_infeasible); + } + + // Scheduling is infeasible when all specified nodes are infeasible.. + { + NodeResources depleted_node_resources = CreateNodeResources({{ResourceID::CPU(), 0}}); + resource_scheduler.GetClusterResourceManager().AddOrUpdateNode( + node_0, depleted_node_resources); + resource_scheduler.GetClusterResourceManager().AddOrUpdateNode( + node_1, depleted_node_resources); + + LabelSelector selector; + selector.AddConstraint(LabelConstraint("ray.io/node-id", + LabelSelectorOperator::LABEL_IN, + {node_0_id_obj.Hex(), node_1_id_obj.Hex()})); + ResourceRequest request = base_resource_request; + request.SetLabelSelector(selector); + + auto result_node_id = resource_scheduler.GetBestSchedulableNode(request, + scheduling_strategy, + false, + false, + std::string(), + &violations, + &is_infeasible); + ASSERT_TRUE(result_node_id.IsNil()); + ASSERT_TRUE(is_infeasible); + } +} + } // namespace ray int main(int argc, char **argv) { From 99bb39cbf6db86cd9c78dbe0da7871cf7a24f439 Mon Sep 17 00:00:00 2001 From: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Date: Tue, 16 Sep 2025 20:25:15 +0000 Subject: [PATCH 1236/1566] [Core][Autoscaler] Add `labels` to KubeRay autoscaling config (#56532) Signed-off-by: Ryan O'Leary Signed-off-by: Ryan O'Leary <113500783+ryanaoleary@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Mengjin Yan Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../_private/kuberay/autoscaling_config.py | 25 +++++++++ .../tests/kuberay/test_autoscaling_config.py | 51 +++++++++++++++++++ 2 files changed, 76 insertions(+) diff --git a/python/ray/autoscaler/_private/kuberay/autoscaling_config.py b/python/ray/autoscaler/_private/kuberay/autoscaling_config.py index 8960dd2df89f..cb5f9e262a7b 100644 --- a/python/ray/autoscaler/_private/kuberay/autoscaling_config.py +++ b/python/ray/autoscaler/_private/kuberay/autoscaling_config.py @@ -7,6 +7,7 @@ import requests +from ray._private.label_utils import parse_node_labels_string from ray.autoscaler._private.constants import ( DISABLE_LAUNCH_CONFIG_CHECK_KEY, DISABLE_NODE_UPDATERS_KEY, @@ -201,6 +202,7 @@ def _node_type_from_group_spec( max_workers = group_spec["maxReplicas"] * group_spec.get("numOfHosts", 1) resources = _get_ray_resources_from_group_spec(group_spec, is_head) + labels = _get_labels_from_group_spec(group_spec) node_type = { "min_workers": min_workers, @@ -209,6 +211,7 @@ def _node_type_from_group_spec( # Pod config data is required by the operator but not by the autoscaler. "node_config": {}, "resources": resources, + "labels": labels, } idle_timeout_s = group_spec.get(IDLE_SECONDS_KEY) @@ -297,6 +300,28 @@ def _get_ray_resources_from_group_spec( return resources +def _get_labels_from_group_spec(group_spec: Dict[str, Any]) -> Dict[str, str]: + """ + Parses Ray node labels from rayStartParams for autoscaling config. + Labels are a comma-separated string of key-value pairs. + """ + ray_start_params = group_spec.get("rayStartParams", {}) + labels_str = ray_start_params.get("labels") + + if not labels_str: + return {} + + try: + return parse_node_labels_string(labels_str) + except ValueError as e: + group_name = group_spec.get("groupName", _HEAD_GROUP_NAME) + logger.error( + f"Error parsing `labels`: {labels_str} in rayStartParams for group {group_name}: {e}" + ) + # Return an empty dict when failed to parse labels. + return {} + + def _get_num_cpus( ray_start_params: Dict[str, str], k8s_resources: Dict[str, Dict[str, str]], diff --git a/python/ray/tests/kuberay/test_autoscaling_config.py b/python/ray/tests/kuberay/test_autoscaling_config.py index 61a886d96758..8dc63b4192c3 100644 --- a/python/ray/tests/kuberay/test_autoscaling_config.py +++ b/python/ray/tests/kuberay/test_autoscaling_config.py @@ -74,6 +74,7 @@ def _get_basic_autoscaling_config() -> dict: }, "available_node_types": { "headgroup": { + "labels": {}, "max_workers": 0, "min_workers": 0, "node_config": {}, @@ -85,6 +86,7 @@ def _get_basic_autoscaling_config() -> dict: }, }, "small-group": { + "labels": {}, "max_workers": 300, "min_workers": 0, "node_config": {}, @@ -98,6 +100,7 @@ def _get_basic_autoscaling_config() -> dict: # Same as "small-group" with a GPU resource entry added # and modified max_workers. "gpu-group": { + "labels": {}, "max_workers": 200, "min_workers": 0, "node_config": {}, @@ -112,6 +115,7 @@ def _get_basic_autoscaling_config() -> dict: # Same as "small-group" with a TPU resource entry added # and modified max_workers and node_config. "tpu-group": { + "labels": {}, "max_workers": 8, "min_workers": 0, "node_config": {}, @@ -238,6 +242,45 @@ def _get_ray_cr_with_only_requests() -> dict: return cr +def _get_ray_cr_with_labels() -> dict: + """CR with labels in rayStartParams of head and worker groups.""" + cr = get_basic_ray_cr() + + # Pass invalid labels to the head group to test error handling. + cr["spec"]["headGroupSpec"]["rayStartParams"]["labels"] = "!!ray.io/node-group=," + # Pass valid labels to each of the worker groups. + cr["spec"]["workerGroupSpecs"][0]["rayStartParams"][ + "labels" + ] = "ray.io/availability-region=us-central2, ray.io/market-type=spot" + cr["spec"]["workerGroupSpecs"][1]["rayStartParams"][ + "labels" + ] = "ray.io/accelerator-type=A100" + cr["spec"]["workerGroupSpecs"][2]["rayStartParams"][ + "labels" + ] = "ray.io/accelerator-type=TPU-V4" + return cr + + +def _get_autoscaling_config_with_labels() -> dict: + """Autoscaling config with parsed labels for each group.""" + config = _get_basic_autoscaling_config() + + # Since we passed invalid labels to the head group `rayStartParams`, + # we expect an empty dictionary in the autoscaling config. + config["available_node_types"]["headgroup"]["labels"] = {} + config["available_node_types"]["small-group"]["labels"] = { + "ray.io/availability-region": "us-central2", + "ray.io/market-type": "spot", + } + config["available_node_types"]["gpu-group"]["labels"] = { + "ray.io/accelerator-type": "A100" + } + config["available_node_types"]["tpu-group"]["labels"] = { + "ray.io/accelerator-type": "TPU-V4" + } + return config + + def _get_autoscaling_config_with_options() -> dict: config = _get_basic_autoscaling_config() config["upscaling_speed"] = 1 @@ -359,6 +402,14 @@ def test_resource_quantity(input: str, output: int): None, id="tpu-k8s-resource-limit-and-custom-resource", ), + pytest.param( + _get_ray_cr_with_labels(), + _get_autoscaling_config_with_labels(), + None, + None, + None, + id="groups-with-labels", + ), ] ) From 8d935ba4eccb1c3b8d135c449dd2eda9b12297ed Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 16 Sep 2025 18:12:11 -0400 Subject: [PATCH 1237/1566] [Data] Allow `BlockOutputBuffer` to accept nullable output_block_size_option (#56567) ## Why are these changes needed? Subject ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 10 +-- python/ray/data/_internal/output_buffer.py | 88 ++++++++++++------- .../data/tests/test_dynamic_block_split.py | 2 +- 3 files changed, 60 insertions(+), 40 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 602d58a3e274..dda36bc5155b 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -166,6 +166,10 @@ python/ray/_private/runtime_env/setup_hook.py python/ray/_private/runtime_env/utils.py DOC103: Function `check_output_cmd`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: ]. Arguments in the docstring but not in the function signature: [kwargs: ]. -------------------- +python/ray/_private/serialization.py + DOC106: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature + DOC107: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints +-------------------- python/ray/_private/services.py DOC201: Function `_build_python_executable_command_memory_profileable` does not have a return section in docstring DOC101: Function `get_ray_address_from_environment`: Docstring contains fewer arguments than in function signature. @@ -1216,7 +1220,7 @@ python/ray/data/_internal/numpy_support.py -------------------- python/ray/data/_internal/output_buffer.py DOC101: Method `BlockOutputBuffer.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `BlockOutputBuffer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [output_block_size_option: OutputBlockSizeOption]. + DOC103: Method `BlockOutputBuffer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [output_block_size_option: Optional[OutputBlockSizeOption]]. -------------------- python/ray/data/_internal/plan.py DOC101: Method `ExecutionPlan.get_plan_as_string`: Docstring contains fewer arguments than in function signature. @@ -2815,7 +2819,3 @@ python/ray/widgets/util.py DOC103: Function `_has_missing`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*deps: Iterable[Union[str, Optional[str]]]]. Arguments in the docstring but not in the function signature: [deps: ]. DOC103: Function `repr_with_fallback`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*notebook_deps: Iterable[Union[str, Optional[str]]]]. Arguments in the docstring but not in the function signature: [notebook_deps: ]. -------------------- -python/ray/_private/serialization.py - DOC106: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `_gpu_object_ref_deserializer`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- diff --git a/python/ray/data/_internal/output_buffer.py b/python/ray/data/_internal/output_buffer.py index f8332b30d2b8..e2a8174db9b8 100644 --- a/python/ray/data/_internal/output_buffer.py +++ b/python/ray/data/_internal/output_buffer.py @@ -1,3 +1,4 @@ +import math from dataclasses import dataclass from typing import Any, Optional @@ -41,11 +42,11 @@ class BlockOutputBuffer: ... yield output.next() # doctest: +SKIP """ - def __init__(self, output_block_size_option: OutputBlockSizeOption): + def __init__(self, output_block_size_option: Optional[OutputBlockSizeOption]): self._output_block_size_option = output_block_size_option self._buffer = DelegatingBlockBuilder() - self._returned_at_least_one_block = False self._finalized = False + self._has_yielded_blocks = False def add(self, item: Any) -> None: """Add a single item to this output buffer.""" @@ -69,36 +70,53 @@ def finalize(self) -> None: def _exceeded_buffer_row_limit(self) -> bool: return ( - self._output_block_size_option.target_num_rows_per_block is not None - and self._buffer.num_rows() - > self._output_block_size_option.target_num_rows_per_block + self._max_num_rows_per_block() is not None + and self._buffer.num_rows() > self._max_num_rows_per_block() ) def _exceeded_buffer_size_limit(self) -> bool: return ( - self._output_block_size_option.target_max_block_size is not None - and self._buffer.get_estimated_memory_usage() - > self._output_block_size_option.target_max_block_size + self._max_bytes_per_block() is not None + and self._buffer.get_estimated_memory_usage() > self._max_bytes_per_block() + ) + + def _max_num_rows_per_block(self) -> Optional[int]: + return ( + self._output_block_size_option.target_num_rows_per_block + if self._output_block_size_option is not None + else None + ) + + def _max_bytes_per_block(self) -> Optional[int]: + return ( + self._output_block_size_option.target_max_block_size + if self._output_block_size_option is not None + else None ) def has_next(self) -> bool: """Returns true when a complete output block is produced.""" + + # TODO remove emitting empty blocks if self._finalized: - return not self._returned_at_least_one_block or self._buffer.num_rows() > 0 - else: - return ( - self._exceeded_buffer_row_limit() or self._exceeded_buffer_size_limit() - ) + return not self._has_yielded_blocks or self._buffer.num_rows() > 0 + elif self._output_block_size_option is None: + # NOTE: When block sizing is disabled, buffer won't be producing + # incrementally, until the whole sequence is ingested. This + # is required to align it with semantic of producing 1 block + # from 1 block of the input + return False + + return self._exceeded_buffer_row_limit() or self._exceeded_buffer_size_limit() def _exceeded_block_size_slice_limit(self, block: BlockAccessor) -> bool: # Slice a block to respect the target max block size. We only do this if we are # more than 50% above the target block size, because this ensures that the last # block produced will be at least half the target block size. return ( - self._output_block_size_option.target_max_block_size is not None + self._max_bytes_per_block() is not None and block.size_bytes() - >= MAX_SAFE_BLOCK_SIZE_FACTOR - * self._output_block_size_option.target_max_block_size + >= MAX_SAFE_BLOCK_SIZE_FACTOR * self._max_bytes_per_block() ) def _exceeded_block_row_slice_limit(self, block: BlockAccessor) -> bool: @@ -106,32 +124,31 @@ def _exceeded_block_row_slice_limit(self, block: BlockAccessor) -> bool: # are more than 50% above the target rows per block, because this ensures that # the last block produced will be at least half the target row count. return ( - self._output_block_size_option.target_num_rows_per_block is not None + self._max_num_rows_per_block() is not None and block.num_rows() - >= MAX_SAFE_ROWS_PER_BLOCK_FACTOR - * self._output_block_size_option.target_num_rows_per_block + >= MAX_SAFE_ROWS_PER_BLOCK_FACTOR * self._max_num_rows_per_block() ) def next(self) -> Block: """Returns the next complete output block.""" assert self.has_next() - block_to_yield = self._buffer.build() - block_remainder = None - block = BlockAccessor.for_block(block_to_yield) + block = self._buffer.build() + accessor = BlockAccessor.for_block(block) + block_remainder = None target_num_rows = None - if self._exceeded_block_row_slice_limit(block): - target_num_rows = self._output_block_size_option.target_num_rows_per_block - elif self._exceeded_block_size_slice_limit(block): - num_bytes_per_row = block.size_bytes() // block.num_rows() + + if self._exceeded_block_row_slice_limit(accessor): + target_num_rows = self._max_num_rows_per_block() + elif self._exceeded_block_size_slice_limit(accessor): + assert accessor.num_rows() > 0, "Block may not be empty" + num_bytes_per_row = accessor.size_bytes() / accessor.num_rows() target_num_rows = max( - 1, - self._output_block_size_option.target_max_block_size - // num_bytes_per_row, + 1, math.ceil(self._max_bytes_per_block() / num_bytes_per_row) ) - if target_num_rows is not None and target_num_rows < block.num_rows(): + if target_num_rows is not None and target_num_rows < accessor.num_rows(): # NOTE: We're maintaining following protocol of slicing underlying block # into appropriately sized ones: # @@ -143,12 +160,15 @@ def next(self) -> Block: # copied, where N is the total number of bytes in the original # block and M is the number of blocks that will be produced by # this iterator - block_to_yield = block.slice(0, target_num_rows, copy=True) - block_remainder = block.slice(target_num_rows, block.num_rows(), copy=False) + block = accessor.slice(0, target_num_rows, copy=True) + block_remainder = accessor.slice( + target_num_rows, accessor.num_rows(), copy=False + ) self._buffer = DelegatingBlockBuilder() if block_remainder is not None: self._buffer.add_block(block_remainder) - self._returned_at_least_one_block = True - return block_to_yield + self._has_yielded_blocks = True + + return block diff --git a/python/ray/data/tests/test_dynamic_block_split.py b/python/ray/data/tests/test_dynamic_block_split.py index e8cbcf1f2369..e80aabbf00b3 100644 --- a/python/ray/data/tests/test_dynamic_block_split.py +++ b/python/ray/data/tests/test_dynamic_block_split.py @@ -450,7 +450,7 @@ class TestCase: target_max_block_size=1024, batch_size=int(1024 * 10.125), num_batches=1, - expected_num_blocks=11, + expected_num_blocks=10, ), # Different batch sizes but same total size should produce a similar number # of blocks. From c3b7709868096ed451d742815f81e052d488a566 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 16 Sep 2025 15:17:34 -0700 Subject: [PATCH 1238/1566] [core] (cgroups 9/n) end-to-end integration of cgroups with ray start. (#56352) This PR stacks on #56297. For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR wires the resource isolation config (introduced here #51865) from ray cli (ray start) and the ray sdk (ray.init) into the raylet. Notable changes include: 1. A separate python test target for running test_resource_isolation related unit and integration tests. This unifies all cgroup related tests under one buildkite target and removes the need for `--except-tags cgroup` everywhere else. 2. Modification to the cgroup hierarchy. This was an oversight on my part. The "no internal processes" constraint says that a non-root cgroup can either have controllers enabled or have processes. Therefore, the new hierarchy looks like: ``` // base_cgroup_path (e.g. /sys/fs/cgroup) // | // ray_node_ // | | // system application // | | // leaf leaf // ``` where the leaf nodes contain all processes and the system/application cgroups apply cpu.weight and memory.min constraints. 3. CgroupManager now has a move ctor/assignment operator that allows ownership and lifecycle to be managed by the NodeManager. 4. CgroupManager is now owned by NodeManager. 5. An end-to-end integration test in `python/ray/tests/resource_isolation/test_resource_isolation_integration.py`. 6. Moved all previous integration tests from test_ray_init and test_cli into test_resource_isolation_integration.py. These tests have TODOs to finish them up once the rest of cgroup features are implemented. --------- Signed-off-by: irabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 3 +- python/ray/_private/services.py | 27 +-- python/ray/tests/BUILD.bazel | 15 -- python/ray/tests/resource_isolation/BUILD | 44 ++++ .../ray/tests/resource_isolation/conftest.py | 1 + .../test_resource_isolation_config.py | 0 .../test_resource_isolation_integration.py | 194 ++++++++++++++++++ python/ray/tests/test_cli.py | 22 -- python/ray/tests/test_ray_init.py | 59 +----- src/ray/common/cgroup2/BUILD.bazel | 1 + src/ray/common/cgroup2/cgroup_manager.cc | 124 ++++++----- src/ray/common/cgroup2/cgroup_manager.h | 21 +- .../common/cgroup2/cgroup_manager_interface.h | 3 + src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 5 +- .../cgroup2/tests/cgroup_manager_test.cc | 36 ++-- src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/main.cc | 36 ++-- src/ray/raylet/node_manager.cc | 7 +- src/ray/raylet/node_manager.h | 6 +- src/ray/raylet/tests/BUILD.bazel | 2 + src/ray/raylet/tests/node_manager_test.cc | 48 +++-- 21 files changed, 442 insertions(+), 213 deletions(-) create mode 100644 python/ray/tests/resource_isolation/BUILD create mode 100644 python/ray/tests/resource_isolation/conftest.py rename python/ray/tests/{ => resource_isolation}/test_resource_isolation_config.py (100%) create mode 100644 python/ray/tests/resource_isolation/test_resource_isolation_integration.py diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 71ed4084c0e2..ce9671aaeed6 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -296,7 +296,8 @@ steps: tags: core_cpp instance_type: medium commands: - - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //:all //src/ray/common/cgroup2/tests/... core --build-type clang --cache-test-results + - bazel run //ci/ray_ci:test_in_docker -- //:all //python/ray/tests/resource_isolation:test_resource_isolation_integration //python/ray/tests/resource_isolation:test_resource_isolation_config core --privileged --cache-test-results + - bazel run //ci/ray_ci:test_in_docker -- //:all //src/ray/common/cgroup2/tests/... core --build-type clang --cache-test-results - docker run --privileged -i --rm --volume /tmp/artifacts:/artifact-mount --shm-size=2.5gb "$${RAYCI_WORK_REPO}":"$${RAYCI_BUILD_ID}"-corebuild /bin/bash "./src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh" diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index 94040866676d..c69dec3151fd 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1750,18 +1750,6 @@ def start_raylet( ] ) - if resource_isolation_config.is_enabled(): - # TODO(irabbani): enable passing args to raylet once the raylet has been modified - logging.info( - f"Resource isolation enabled with cgroup_path={resource_isolation_config.cgroup_path}, " - f"system_reserved_cpu={resource_isolation_config.system_reserved_cpu_weight} " - f"system_reserved_memory={resource_isolation_config.system_reserved_memory}" - ) - # start_worker_command.append("--enable-resource-isolation") - # start_worker_command.append(f"--cgroup-path={resource_isolation_config.cgroup_path}") - # start_worker_command.append(f"--system-reserved-cpu={resource_isolation_config.system_reserved_cpu_weight}") - # start_worker_command.append(f"--system-reserved-memory={resource_isolation_config.system_reserved_memory}") - start_worker_command.append("RAY_WORKER_DYNAMIC_OPTION_PLACEHOLDER") if redis_username: @@ -1902,6 +1890,21 @@ def start_raylet( f"--cluster-id={cluster_id}", ] + if resource_isolation_config.is_enabled(): + logging.info( + f"Resource isolation enabled with cgroup_path={resource_isolation_config.cgroup_path}, " + f"system_reserved_cpu={resource_isolation_config.system_reserved_cpu_weight} " + f"system_reserved_memory={resource_isolation_config.system_reserved_memory}." + ) + command.append("--enable-resource-isolation") + command.append(f"--cgroup-path={resource_isolation_config.cgroup_path}") + command.append( + f"--system-reserved-cpu-weight={resource_isolation_config.system_reserved_cpu_weight}" + ) + command.append( + f"--system-reserved-memory-bytes={resource_isolation_config.system_reserved_memory}" + ) + if raylet_stdout_filepath: command.append(f"--stdout_filepath={raylet_stdout_filepath}") if raylet_stderr_filepath: diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 546547983d0a..84223cc9167a 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -1073,21 +1073,6 @@ py_test_module_list( ], ) -py_test( - name = "test_resource_isolation_config", - size = "medium", - srcs = ["test_resource_isolation_config.py"], - tags = [ - "exclusive", - "no_windows", - "team:core", - ], - deps = [ - ":conftest", - "//:ray_lib", - ], -) - py_test( name = "test_runtime_env_container", size = "large", diff --git a/python/ray/tests/resource_isolation/BUILD b/python/ray/tests/resource_isolation/BUILD new file mode 100644 index 000000000000..8fe7af6e1c2e --- /dev/null +++ b/python/ray/tests/resource_isolation/BUILD @@ -0,0 +1,44 @@ +load("@rules_python//python:defs.bzl", "py_library", "py_test") + +py_library( + name = "conftest", + srcs = ["conftest.py"], + deps = ["//python/ray/tests:conftest"], +) + +# TODO(#54703): The tests in this file are being tagged +# as manual because they shouldn't be run as part of +# bazel test //python/ray/tests/... +py_test( + name = "test_resource_isolation_integration", + size = "medium", + srcs = ["test_resource_isolation_integration.py"], + tags = [ + "cgroup", + "exclusive", + "manual", + "team:core", + ], + target_compatible_with = [ + "@platforms//os:linux", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + +py_test( + name = "test_resource_isolation_config", + size = "medium", + srcs = ["test_resource_isolation_config.py"], + tags = [ + "exclusive", + "manual", + "team:core", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) diff --git a/python/ray/tests/resource_isolation/conftest.py b/python/ray/tests/resource_isolation/conftest.py new file mode 100644 index 000000000000..d139c459996e --- /dev/null +++ b/python/ray/tests/resource_isolation/conftest.py @@ -0,0 +1 @@ +from ray.tests.conftest import ray_start_cluster, maybe_setup_external_redis # noqa diff --git a/python/ray/tests/test_resource_isolation_config.py b/python/ray/tests/resource_isolation/test_resource_isolation_config.py similarity index 100% rename from python/ray/tests/test_resource_isolation_config.py rename to python/ray/tests/resource_isolation/test_resource_isolation_config.py diff --git a/python/ray/tests/resource_isolation/test_resource_isolation_integration.py b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py new file mode 100644 index 000000000000..f8d2b01bf0be --- /dev/null +++ b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py @@ -0,0 +1,194 @@ +import sys +from pathlib import Path + +import pytest +from click.testing import CliRunner + +import ray +import ray._private.ray_constants as ray_constants +import ray._private.utils as utils +import ray.scripts.scripts as scripts +from ray._private.resource_isolation_config import ResourceIsolationConfig + +# These tests are intended to run in CI inside a container. +# If you want to run this test locally, you will need to create a cgroup that +# the raylet can manage and delegate to the correct user. +# +# TODO(#54703): Once implementation is complete, I will add a fixture to this +# test to check for common errors when running locally (such as cgroup2 not mounted +# correct). It'll follow the example of +# src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh +# +# Run these commands locally before running the test suite: +# sudo mkdir -p /sys/fs/cgroup/resource_isolation_test +# sudo chown -R $(whoami):$(whoami) /sys/fs/cgroup/resource_isolation_test/ +# sudo chmod -R u+rwx /sys/fs/cgroup/resource_isolation_test/ +# echo $$ | sudo tee /sys/fs/cgroup/resource_isolation_test/cgroup.procs +# +# Comment the following line out. +_BASE_CGROUP_PATH = "/sys/fs/cgroup" +# +# Uncomment the following line. +# _BASE_CGROUP_PATH = "/sys/fs/cgroup/resource_isolation_test" + + +def test_resource_isolation_enabled_creates_cgroup_hierarchy(ray_start_cluster): + cluster = ray_start_cluster + base_cgroup = _BASE_CGROUP_PATH + resource_isolation_config = ResourceIsolationConfig( + enable_resource_isolation=True, + cgroup_path=base_cgroup, + system_reserved_memory=1024**3, + system_reserved_cpu=1, + ) + # Need to use a worker node because the driver cannot delete the head node. + cluster.add_node(num_cpus=0) + ray.init(address=cluster.address) + + worker_node = cluster.add_node( + num_cpus=1, resource_isolation_config=resource_isolation_config + ) + worker_node_id = worker_node.node_id + cluster.wait_for_nodes() + + # Make sure the worker node is up and running. + @ray.remote + def task(): + return "hellodarknessmyoldfriend" + + ray.get(task.remote(), timeout=5) + + # TODO(#54703): This test is deliberately overspecified right now. The test shouldn't + # care about the cgroup hierarchy. It should just verify that application and system processes + # are started in a cgroup with the correct constraints. This will be updated once cgroup + # process management is completed. + node_cgroup = Path(base_cgroup) / f"ray_node_{worker_node_id}" + system_cgroup = node_cgroup / "system" + application_cgroup = node_cgroup / "application" + + # 1) Check that the cgroup hierarchy is created correctly for the node. + assert node_cgroup.is_dir() + assert system_cgroup.is_dir() + assert application_cgroup.is_dir() + + # 2) Verify the constraints are applied correctly. + system_cgroup_memory_min = system_cgroup / "memory.min" + with open(system_cgroup_memory_min, "r") as memory_min_file: + contents = memory_min_file.read().strip() + assert contents == str(resource_isolation_config.system_reserved_memory) + system_cgroup_cpu_weight = system_cgroup / "cpu.weight" + with open(system_cgroup_cpu_weight, "r") as cpu_weight_file: + contents = cpu_weight_file.read().strip() + assert contents == str(resource_isolation_config.system_reserved_cpu_weight) + application_cgroup_cpu_weight = application_cgroup / "cpu.weight" + with open(application_cgroup_cpu_weight, "r") as cpu_weight_file: + contents = cpu_weight_file.read().strip() + assert contents == str( + 10000 - resource_isolation_config.system_reserved_cpu_weight + ) + + # 3) Gracefully shutting down the node cleans up everything. Don't need to check + # everything. If the base_cgroup is deleted, then all clean up succeeded. + cluster.remove_node(worker_node) + assert not node_cgroup.is_dir() + + +# The following tests will test integration of resource isolation +# with the 'ray start' command. +@pytest.fixture +def cleanup_ray(): + """Shutdown all ray instances""" + yield + runner = CliRunner() + runner.invoke(scripts.stop) + ray.shutdown() + + +def test_ray_start_invalid_resource_isolation_config(cleanup_ray): + runner = CliRunner() + result = runner.invoke( + scripts.start, + ["--cgroup-path=/doesnt/matter"], + ) + assert result.exit_code != 0 + assert isinstance(result.exception, ValueError) + + +def test_ray_start_resource_isolation_config_default_values(monkeypatch, cleanup_ray): + monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: 16) + # The DEFAULT_CGROUP_PATH override is only relevant when running locally. + monkeypatch.setattr(ray_constants, "DEFAULT_CGROUP_PATH", _BASE_CGROUP_PATH) + + runner = CliRunner() + result = runner.invoke( + scripts.start, + ["--head", "--enable-resource-isolation"], + ) + # TODO(#54703): Need to rewrite this test to check for side-effects on the cgroup + # hierarchy once the rest of the implemetation is complete. + assert result.exit_code == 0 + + +# The following tests will test integration of resource isolation +# with the ray.init() function. +@pytest.fixture +def ray_shutdown(): + yield + ray.shutdown() + + +def test_ray_init_resource_isolation_disabled_by_default(ray_shutdown): + ray.init(address="local") + node = ray._private.worker._global_node + assert node is not None + assert not node.resource_isolation_config.is_enabled() + + +def test_ray_init_with_resource_isolation_default_values(monkeypatch, ray_shutdown): + total_system_cpu = 10 + monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: total_system_cpu) + # The DEFAULT_CGROUP_PATH override is only relevant when running locally. + monkeypatch.setattr(ray_constants, "DEFAULT_CGROUP_PATH", _BASE_CGROUP_PATH) + ray.init(address="local", enable_resource_isolation=True) + node = ray._private.worker._global_node + assert node is not None + assert node.resource_isolation_config.is_enabled() + + +def test_ray_init_with_resource_isolation_override_defaults(ray_shutdown): + cgroup_path = _BASE_CGROUP_PATH + system_reserved_cpu = 1 + system_reserved_memory = 1 * 10**9 + object_store_memory = 1 * 10**9 + resource_isolation_config = ResourceIsolationConfig( + enable_resource_isolation=True, + cgroup_path=cgroup_path, + system_reserved_cpu=system_reserved_cpu, + system_reserved_memory=system_reserved_memory, + ) + resource_isolation_config.add_object_store_memory(object_store_memory) + ray.init( + address="local", + enable_resource_isolation=True, + _cgroup_path=cgroup_path, + system_reserved_cpu=system_reserved_cpu, + system_reserved_memory=system_reserved_memory, + object_store_memory=object_store_memory, + ) + node = ray._private.worker._global_node + # TODO(#54703): Need to rewrite this test to check for side-effects on the cgroup + # hierarchy once the rest of the implemetation is complete. + assert node is not None + assert node.resource_isolation_config.is_enabled() + assert ( + node.resource_isolation_config.system_reserved_cpu_weight + == resource_isolation_config.system_reserved_cpu_weight + ) + assert ( + node.resource_isolation_config.system_reserved_memory + == resource_isolation_config.system_reserved_memory + ) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/tests/test_cli.py b/python/ray/tests/test_cli.py index 577c54308015..e26ab762b5d3 100644 --- a/python/ray/tests/test_cli.py +++ b/python/ray/tests/test_cli.py @@ -44,7 +44,6 @@ import ray import ray._private.ray_constants as ray_constants -import ray._private.utils as utils import ray.autoscaler._private.aws.config as aws_config import ray.autoscaler._private.constants as autoscaler_constants import ray.scripts.scripts as scripts @@ -340,27 +339,6 @@ def test_ray_start(configure_lang, monkeypatch, tmp_path, cleanup_ray): ) -def test_ray_start_invalid_resource_isolation_config(cleanup_ray): - runner = CliRunner() - result = runner.invoke( - scripts.start, - ["--cgroup-path=/doesnt/matter"], - ) - assert result.exit_code != 0 - assert isinstance(result.exception, ValueError) - - -def test_ray_start_resource_isolation_config_default_values(monkeypatch, cleanup_ray): - monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: 16) - runner = CliRunner() - result = runner.invoke( - scripts.start, - ["--head", "--enable-resource-isolation"], - ) - # TODO(irabbani): Use log-capture from the raylet to add more extensive validation - _die_on_error(result) - - @pytest.mark.skipif( sys.platform == "darwin" and "travis" in os.environ.get("USER", ""), reason=("Mac builds don't provide proper locale support"), diff --git a/python/ray/tests/test_ray_init.py b/python/ray/tests/test_ray_init.py index 73e76cb95861..17fdea33ad82 100644 --- a/python/ray/tests/test_ray_init.py +++ b/python/ray/tests/test_ray_init.py @@ -12,8 +12,6 @@ import pytest import ray -import ray._private.services -import ray._private.utils as utils from ray._common.network_utils import build_address, parse_address from ray._private import ray_constants from ray._private.test_utils import external_redis_test_enabled @@ -307,57 +305,6 @@ def sigterm_handler(signum, frame): assert test_child.returncode == signal.SIGTERM and not os.path.exists(TEST_FILENAME) -@pytest.fixture -def ray_shutdown(): - yield - ray.shutdown() - - -def test_ray_init_resource_isolation_disabled_by_default(ray_shutdown): - ray.init(address="local") - node = ray._private.worker._global_node - assert node is not None - assert not node.resource_isolation_config.is_enabled() - - -def test_ray_init_with_resource_isolation_default_values(monkeypatch, ray_shutdown): - total_system_cpu = 10 - monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: total_system_cpu) - ray.init(address="local", enable_resource_isolation=True) - node = ray._private.worker._global_node - assert node is not None - assert node.resource_isolation_config.is_enabled() - - -def test_ray_init_with_resource_isolation_override_defaults(monkeypatch, ray_shutdown): - cgroup_path = "/sys/fs/cgroup/subcgroup" - system_reserved_cpu = 1 - system_reserved_memory = 1 * 10**9 - total_system_cpu = 10 - total_system_memory = 25 * 10**9 - object_store_memory = 1 * 10**9 - monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: total_system_cpu) - monkeypatch.setattr( - utils, "get_system_memory", lambda *args, **kwargs: total_system_memory - ) - ray.init( - address="local", - enable_resource_isolation=True, - _cgroup_path=cgroup_path, - system_reserved_cpu=system_reserved_cpu, - system_reserved_memory=system_reserved_memory, - object_store_memory=object_store_memory, - ) - node = ray._private.worker._global_node - assert node is not None - assert node.resource_isolation_config.is_enabled() - assert node.resource_isolation_config.system_reserved_cpu_weight == 1000 - assert ( - node.resource_isolation_config.system_reserved_memory - == system_reserved_memory + object_store_memory - ) - - @pytest.fixture def runtime_env_working_dir(): with tempfile.TemporaryDirectory() as tmp_dir: @@ -375,6 +322,12 @@ def py_module_whl(): os.unlink(f.name) +@pytest.fixture +def ray_shutdown(): + yield + ray.shutdown() + + def test_ray_init_with_runtime_env_as_dict( runtime_env_working_dir, py_module_whl, ray_shutdown ): diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index b2becaa0575b..bdf5564c25c9 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -50,6 +50,7 @@ ray_cc_library( ], visibility = ["//visibility:public"], deps = [ + ":cgroup_driver_interface", "//src/ray/common:status", "//src/ray/common:status_or", ], diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index e210191565d2..6fe06818855a 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -14,6 +14,7 @@ #include "ray/common/cgroup2/cgroup_manager.h" +#include #include #include #include @@ -28,19 +29,20 @@ namespace ray { -CgroupManager::CgroupManager(std::string base_cgroup_path, +CgroupManager::CgroupManager(std::string base_cgroup, const std::string &node_id, std::unique_ptr cgroup_driver) - : base_cgroup_path_(std::move(base_cgroup_path)), - cgroup_driver_(std::move(cgroup_driver)) { - node_cgroup_path_ = base_cgroup_path_ + std::filesystem::path::preferred_separator + - absl::StrFormat("%s_%s", kNodeCgroupName, node_id); - system_cgroup_path_ = - node_cgroup_path_ + std::filesystem::path::preferred_separator + kSystemCgroupName; - - application_cgroup_path_ = node_cgroup_path_ + - std::filesystem::path::preferred_separator + - kApplicationCgroupName; + : base_cgroup_(std::move(base_cgroup)), cgroup_driver_(std::move(cgroup_driver)) { + node_cgroup_ = base_cgroup_ + std::filesystem::path::preferred_separator + + absl::StrFormat("%s_%s", kNodeCgroupName, node_id); + system_cgroup_ = + node_cgroup_ + std::filesystem::path::preferred_separator + kSystemCgroupName; + system_leaf_cgroup_ = + system_cgroup_ + std::filesystem::path::preferred_separator + kLeafCgroupName; + application_cgroup_ = + node_cgroup_ + std::filesystem::path::preferred_separator + kApplicationCgroupName; + application_leaf_cgroup_ = + application_cgroup_ + std::filesystem::path::preferred_separator + kLeafCgroupName; } CgroupManager::~CgroupManager() { @@ -49,8 +51,28 @@ CgroupManager::~CgroupManager() { } } +CgroupManager::CgroupManager(CgroupManager &&other) + : node_cgroup_(std::move(other.node_cgroup_)), + system_cgroup_(std::move(other.system_cgroup_)), + system_leaf_cgroup_(std::move(other.system_leaf_cgroup_)), + application_cgroup_(std::move(other.application_cgroup_)), + application_leaf_cgroup_(std::move(other.application_leaf_cgroup_)), + cleanup_operations_(std::move(other.cleanup_operations_)), + cgroup_driver_(std::move(other.cgroup_driver_)) {} + +CgroupManager &CgroupManager::operator=(CgroupManager &&other) { + node_cgroup_ = std::move(other.node_cgroup_); + system_cgroup_ = std::move(other.system_cgroup_); + system_leaf_cgroup_ = std::move(other.system_leaf_cgroup_); + application_cgroup_ = std::move(other.application_cgroup_); + application_leaf_cgroup_ = std::move(other.application_leaf_cgroup_); + cleanup_operations_ = std::move(other.cleanup_operations_); + cgroup_driver_ = std::move(other.cgroup_driver_); + return *this; +} + StatusOr> CgroupManager::Create( - std::string base_cgroup_path, + std::string base_cgroup, const std::string &node_id, const int64_t system_reserved_cpu_weight, const int64_t system_reserved_memory_bytes, @@ -74,9 +96,9 @@ StatusOr> CgroupManager::Create( memory_min_constraint_.Max())); } RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroupv2Enabled()); - RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroup(base_cgroup_path)); + RAY_RETURN_NOT_OK(cgroup_driver->CheckCgroup(base_cgroup)); StatusOr> available_controllers = - cgroup_driver->GetAvailableControllers(base_cgroup_path); + cgroup_driver->GetAvailableControllers(base_cgroup); if (!available_controllers.ok()) { return available_controllers.status(); @@ -97,15 +119,15 @@ StatusOr> CgroupManager::Create( "https://docs.kernel.org/admin-guide/cgroup-v2.html#controlling-controllers " "for more details. Available controllers: %s. Required controllers: " "%s.", - base_cgroup_path, - base_cgroup_path, + base_cgroup, + base_cgroup, available_controllers_str, supported_controllers_str)); } } std::unique_ptr cgroup_manager = std::unique_ptr( - new CgroupManager(std::move(base_cgroup_path), node_id, std::move(cgroup_driver))); + new CgroupManager(std::move(base_cgroup), node_id, std::move(cgroup_driver))); RAY_RETURN_NOT_OK(cgroup_manager->Initialize(system_reserved_cpu_weight, system_reserved_memory_bytes)); @@ -190,15 +212,15 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, "enabled. " "The system cgroup at '%s' will have constraints [%s=%lld, %s=%lld]. " "The application cgroup '%s' will have constraints [%s=%lld].", - base_cgroup_path_, - node_cgroup_path_, + base_cgroup_, + node_cgroup_, supported_controllers, - system_cgroup_path_, + system_cgroup_, cpu_weight_constraint_.name_, system_reserved_cpu_weight, memory_min_constraint_.name_, system_reserved_memory_bytes, - application_cgroup_path_, + application_cgroup_, cpu_weight_constraint_.name_, application_cgroup_cpu_weight); @@ -208,54 +230,64 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, // ray_node_ // | | // system application - RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(node_cgroup_path_)); - RegisterDeleteCgroup(node_cgroup_path_); + // | | + // leaf leaf + // + // There need to be two cgroups as leaf nodes because of the no + // internal processes constraint. + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(node_cgroup_)); + RegisterDeleteCgroup(node_cgroup_); - RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(system_cgroup_path_)); - RegisterDeleteCgroup(system_cgroup_path_); + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(system_cgroup_)); + RegisterDeleteCgroup(system_cgroup_); - RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(application_cgroup_path_)); - RegisterDeleteCgroup(application_cgroup_path_); + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(system_leaf_cgroup_)); + RegisterDeleteCgroup(system_leaf_cgroup_); - // Move all processes from the base_cgroup into the system_cgroup to make sure + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(application_cgroup_)); + RegisterDeleteCgroup(application_cgroup_); + + RAY_RETURN_NOT_OK(cgroup_driver_->CreateCgroup(application_leaf_cgroup_)); + RegisterDeleteCgroup(application_leaf_cgroup_); + + // Move all processes from the base_cgroup into the system_leaf_cgroup to make sure // that the no internal process constraint is not violated. This is relevant - // when the base_cgroup_path is not a root cgroup for the system. This is likely + // when the base_cgroup is not a root cgroup for the system. This is likely // the case if Ray is running inside a container. - RAY_RETURN_NOT_OK( - cgroup_driver_->MoveAllProcesses(base_cgroup_path_, system_cgroup_path_)); - RegisterMoveAllProcesses(system_cgroup_path_, base_cgroup_path_); + RAY_RETURN_NOT_OK(cgroup_driver_->MoveAllProcesses(base_cgroup_, system_leaf_cgroup_)); + RegisterMoveAllProcesses(system_leaf_cgroup_, base_cgroup_); for (const auto &ctrl : supported_controllers_) { - RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(base_cgroup_path_, ctrl)); - RegisterDisableController(base_cgroup_path_, ctrl); - RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(node_cgroup_path_, ctrl)); - RegisterDisableController(node_cgroup_path_, ctrl); - RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(system_cgroup_path_, ctrl)); - RegisterDisableController(system_cgroup_path_, ctrl); - RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(application_cgroup_path_, ctrl)); - RegisterDisableController(application_cgroup_path_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(base_cgroup_, ctrl)); + RegisterDisableController(base_cgroup_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(node_cgroup_, ctrl)); + RegisterDisableController(node_cgroup_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(system_cgroup_, ctrl)); + RegisterDisableController(system_cgroup_, ctrl); + RAY_RETURN_NOT_OK(cgroup_driver_->EnableController(application_cgroup_, ctrl)); + RegisterDisableController(application_cgroup_, ctrl); } RAY_RETURN_NOT_OK( - cgroup_driver_->AddConstraint(system_cgroup_path_, + cgroup_driver_->AddConstraint(system_cgroup_, cpu_weight_constraint_.controller_, cpu_weight_constraint_.name_, std::to_string(system_reserved_cpu_weight))); - RegisterRemoveConstraint(system_cgroup_path_, cpu_weight_constraint_); + RegisterRemoveConstraint(system_cgroup_, cpu_weight_constraint_); RAY_RETURN_NOT_OK( - cgroup_driver_->AddConstraint(system_cgroup_path_, + cgroup_driver_->AddConstraint(system_cgroup_, memory_min_constraint_.controller_, memory_min_constraint_.name_, std::to_string(system_reserved_memory_bytes))); - RegisterRemoveConstraint(system_cgroup_path_, memory_min_constraint_); + RegisterRemoveConstraint(system_cgroup_, memory_min_constraint_); RAY_RETURN_NOT_OK( - cgroup_driver_->AddConstraint(application_cgroup_path_, + cgroup_driver_->AddConstraint(application_cgroup_, cpu_weight_constraint_.controller_, cpu_weight_constraint_.name_, std::to_string(application_cgroup_cpu_weight))); - RegisterRemoveConstraint(application_cgroup_path_, cpu_weight_constraint_); + RegisterRemoveConstraint(application_cgroup_, cpu_weight_constraint_); return Status::OK(); } diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h index 466abe6e1257..14e7d0454442 100644 --- a/src/ray/common/cgroup2/cgroup_manager.h +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -56,17 +56,18 @@ class CgroupManager : public CgroupManagerInterface { execute permissions. */ static StatusOr> Create( - std::string base_cgroup_path, + std::string base_cgroup, const std::string &node_id, const int64_t system_reserved_cpu_weight, const int64_t system_reserved_memory_bytes, std::unique_ptr cgroup_driver); - // Unmovable and uncopyable type. + // Uncopyable type. CgroupManager(const CgroupManager &) = delete; CgroupManager &operator=(const CgroupManager &) = delete; - CgroupManager(CgroupManager &&) = default; - CgroupManager &operator=(CgroupManager &&) = default; + + CgroupManager(CgroupManager &&); + CgroupManager &operator=(CgroupManager &&); /** Performs cleanup in reverse order from the Initialize function: @@ -80,7 +81,7 @@ class CgroupManager : public CgroupManagerInterface { ~CgroupManager() override; private: - CgroupManager(std::string base_cgroup_path, + CgroupManager(std::string base_cgroup, const std::string &node_id, std::unique_ptr cgroup_driver); @@ -122,10 +123,12 @@ class CgroupManager : public CgroupManagerInterface { void RegisterDisableController(const std::string &cgroup, const std::string &controller); - std::string base_cgroup_path_; - std::string node_cgroup_path_; - std::string system_cgroup_path_; - std::string application_cgroup_path_; + std::string base_cgroup_; + std::string node_cgroup_; + std::string system_cgroup_; + std::string system_leaf_cgroup_; + std::string application_cgroup_; + std::string application_leaf_cgroup_; // This will be popped in reverse order to clean up all side-effects performed // during setup. diff --git a/src/ray/common/cgroup2/cgroup_manager_interface.h b/src/ray/common/cgroup2/cgroup_manager_interface.h index 28b6f936932f..2e8b8e2e36da 100644 --- a/src/ray/common/cgroup2/cgroup_manager_interface.h +++ b/src/ray/common/cgroup2/cgroup_manager_interface.h @@ -37,6 +37,8 @@ namespace ray { ray_node_ | | system application + | | + leaf leaf */ class CgroupManagerInterface { public: @@ -55,6 +57,7 @@ class CgroupManagerInterface { inline static const std::string kNodeCgroupName = "ray_node"; inline static const std::string kSystemCgroupName = "system"; inline static const std::string kApplicationCgroupName = "application"; + inline static const std::string kLeafCgroupName = "leaf"; // Controllers that can be enabled in Ray. inline static const std::unordered_set supported_controllers_ = {"cpu", diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index afa5be6ce544..4f799d90ae8a 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -36,6 +36,7 @@ #include "absl/strings/str_join.h" #include "ray/common/status.h" #include "ray/common/status_or.h" +#include "ray/util/logging.h" // Used to identify if a filesystem is mounted using cgroupv2. // See: https://docs.kernel.org/admin-guide/cgroup-v2.html#mounting @@ -286,7 +287,7 @@ Status SysFsCgroupDriver::EnableController(const std::string &cgroup_path, out_file.flush(); if (out_file.fail()) { return Status::Invalid(absl::StrFormat( - "Could not open write to cgroup controllers file %s", enabled_ctrls_file)); + "Could not write to cgroup controllers file %s", enabled_ctrls_file)); } return Status::OK(); } @@ -325,7 +326,7 @@ Status SysFsCgroupDriver::DisableController(const std::string &cgroup_path, out_file.flush(); if (!out_file.good()) { return Status::Invalid(absl::StrFormat( - "Could not open write to cgroup controllers file %s", controller_file_path)); + "Could not write to cgroup controllers file %s", controller_file_path)); } return Status::OK(); } diff --git a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc index aa83dfa64828..409c0be053b9 100644 --- a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc +++ b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc @@ -126,7 +126,10 @@ TEST(CgroupManagerTest, CreateSucceedsWithCleanupInOrder) { std::string base_cgroup_path = "/sys/fs/cgroup"; std::string node_cgroup_path = "/sys/fs/cgroup/ray_node_id_123"; std::string system_cgroup_path = "/sys/fs/cgroup/ray_node_id_123/system"; + std::string system_leaf_cgroup_path = "/sys/fs/cgroup/ray_node_id_123/system/leaf"; std::string application_cgroup_path = "/sys/fs/cgroup/ray_node_id_123/application"; + std::string application_leaf_cgroup_path = + "/sys/fs/cgroup/ray_node_id_123/application/leaf"; int64_t system_reserved_cpu_weight = 1000; int64_t system_reserved_memory_bytes = 1024 * 1024 * 1024; @@ -137,29 +140,32 @@ TEST(CgroupManagerTest, CreateSucceedsWithCleanupInOrder) { std::move(owned_driver)); // The cgroup hierarchy was created correctly. - ASSERT_EQ(cgroups->size(), 4); + ASSERT_EQ(cgroups->size(), 6); ASSERT_NE(cgroups->find(base_cgroup_path), cgroups->end()); ASSERT_NE(cgroups->find(node_cgroup_path), cgroups->end()); ASSERT_NE(cgroups->find(system_cgroup_path), cgroups->end()); + ASSERT_NE(cgroups->find(system_leaf_cgroup_path), cgroups->end()); ASSERT_NE(cgroups->find(application_cgroup_path), cgroups->end()); + ASSERT_NE(cgroups->find(application_leaf_cgroup_path), cgroups->end()); - std::array created_cgroups{&cgroups->at(base_cgroup_path), - &cgroups->at(node_cgroup_path), - &cgroups->at(system_cgroup_path), - &cgroups->at(application_cgroup_path)}; + std::array controlled_cgroups{&cgroups->at(base_cgroup_path), + &cgroups->at(node_cgroup_path), + &cgroups->at(system_cgroup_path), + &cgroups->at(application_cgroup_path)}; // Controllers are enabled on base, node, application, and system cgroups. - for (const FakeCgroup *cg : created_cgroups) { + for (const FakeCgroup *cg : controlled_cgroups) { ASSERT_EQ(cg->enabled_controllers_.size(), 2); ASSERT_NE(cg->enabled_controllers_.find("cpu"), cg->enabled_controllers_.end()); ASSERT_NE(cg->enabled_controllers_.find("memory"), cg->enabled_controllers_.end()); } - // Processes were moved out of the base cgroup into the system cgroup. + // Processes were moved out of the base cgroup into the system leaf cgroup. const FakeCgroup &base_cgroup = cgroups->find(base_cgroup_path)->second; const FakeCgroup &system_cgroup = cgroups->find(system_cgroup_path)->second; + const FakeCgroup &system_leaf_cgroup = cgroups->find(system_leaf_cgroup_path)->second; ASSERT_TRUE(base_cgroup.processes_.empty()); - ASSERT_EQ(system_cgroup.processes_.size(), 1); + ASSERT_EQ(system_leaf_cgroup.processes_.size(), 1); // Check to see that the memory and cpu constraints were enabled correctly // for the system and application cgroups. @@ -261,16 +267,20 @@ TEST(CgroupManagerTest, CreateSucceedsWithCleanupInOrder) { // Processes were moved third. ASSERT_EQ(processes_moved->size(), 1); - ASSERT_EQ((*processes_moved)[0].second.from_, system_cgroup_path); + + ASSERT_EQ((*processes_moved)[0].second.from_, system_leaf_cgroup_path); + ASSERT_EQ((*processes_moved)[0].second.to_, base_cgroup_path); ASSERT_LT(constraints_disabled->back().first, processes_moved->front().first); // Cgroups were deleted last and in reverse order i.e. application, system, node. - ASSERT_EQ(deleted_cgroups->size(), 3); + ASSERT_EQ(deleted_cgroups->size(), 5); ASSERT_LT(processes_moved->back().first, deleted_cgroups->front().first); - ASSERT_EQ((*deleted_cgroups)[0].second, application_cgroup_path); - ASSERT_EQ((*deleted_cgroups)[1].second, system_cgroup_path); - ASSERT_EQ((*deleted_cgroups)[2].second, node_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[0].second, application_leaf_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[1].second, application_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[2].second, system_leaf_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[3].second, system_cgroup_path); + ASSERT_EQ((*deleted_cgroups)[4].second, node_cgroup_path); } } // namespace ray diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 5e70ab42e5f4..018dd31e9633 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -229,6 +229,7 @@ ray_cc_library( "//src/ray/common:flatbuf_utils", "//src/ray/common:lease", "//src/ray/common:memory_monitor", + "//src/ray/common/cgroup2:cgroup_manager_interface", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/flatbuffers:node_manager_generated", "//src/ray/gcs_client", diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index c556a1219e81..c3a1a8ee3232 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -126,19 +126,19 @@ DEFINE_string( "", "Path of the cgroup that the raylet will take ownership of to create its cgorup " "hierarchy. The raylet process must have read, write, and execute permission for " - "this path. If enable_resource_isolation is true, then this cannot be empty."); -DEFINE_int64( - system_reserved_cpu_weight, - -1, - "The amount of cores reserved for ray system processes. It will be applied " - "as a cpu.weight constraint to the system cgroup. 10000 - " - "system_reserved_cpu_weight will be applied as a constraint to the " - "application cgroup. If enable resource isolation is true, then this cannot be -1."); + "this path. If enable-resource-isolation is true, then this cannot be empty."); +DEFINE_int64(system_reserved_cpu_weight, + -1, + "The amount of cores reserved for ray system processes. It will be applied " + "as a cpu.weight constraint to the system cgroup. 10000 - " + "system-reserved-cpu-weight will be applied as a constraint to the " + "application cgroup. If enable-resource-isolation is true, then this " + "cannot be -1."); DEFINE_int64(system_reserved_memory_bytes, -1, "The amount of memory in bytes reserved for ray system processes. It will " - "be applied as a memory.min constraint to the sytem cgroup. If enable " - "resource isolation is true, then this cannot be -1"); + "be applied as a memory.min constraint to the system cgroup. If " + "enable-resource-isolation is true, then this cannot be -1"); absl::flat_hash_map parse_node_labels( const std::string &labels_json_str) { @@ -256,6 +256,8 @@ int main(int argc, char *argv[]) { RAY_LOG(INFO) << "Setting cluster ID to: " << cluster_id; gflags::ShutDownCommandLineFlags(); + std::unique_ptr cgroup_manager; + // TODO(#54703): Link OSS documentation once it's available in the error messages. if (enable_resource_isolation) { RAY_CHECK(!cgroup_path.empty()) @@ -268,8 +270,9 @@ int main(int argc, char *argv[]) { << "Failed to start up raylet. If enable_resource_isolation is set to true, " "system_reserved_memory_byres must be set to a value > 0"; - std::unique_ptr cgroup_driver; - ray::StatusOr> cgroup_manager = + std::unique_ptr cgroup_driver = + std::make_unique(); + ray::StatusOr> cgroup_manager_s = ray::CgroupManager::Create(std::move(cgroup_path), node_id, system_reserved_cpu_weight, @@ -277,9 +280,11 @@ int main(int argc, char *argv[]) { std::move(cgroup_driver)); // TODO(#54703) - Link to OSS documentation once available. - RAY_CHECK(cgroup_manager.ok()) + RAY_CHECK(cgroup_manager_s.ok()) << "Failed to start raylet. Could not create CgroupManager because of " - << cgroup_manager.ToString(); + << cgroup_manager_s.ToString(); + + cgroup_manager = std::move(cgroup_manager_s.value()); #ifndef __linux__ RAY_LOG(WARNING) @@ -915,7 +920,8 @@ int main(int argc, char *argv[]) { *plasma_client, std::move(raylet_client_factory), /*check_signals=*/nullptr), - shutdown_raylet_gracefully); + shutdown_raylet_gracefully, + std::move(cgroup_manager)); // Initialize the node manager. raylet = std::make_unique(main_service, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index b48290b51adf..c6b598adc9f9 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -31,6 +31,7 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/buffer.h" +#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/constants.h" #include "ray/common/flatbuf_utils.h" #include "ray/common/grpc_util.h" @@ -113,7 +114,8 @@ NodeManager::NodeManager( plasma::PlasmaClientInterface &store_client, std::unique_ptr mutable_object_provider, - std::function shutdown_raylet_gracefully) + std::function shutdown_raylet_gracefully, + std::unique_ptr cgroup_manager) : self_node_id_(self_node_id), self_node_name_(std::move(self_node_name)), io_service_(io_service), @@ -165,7 +167,8 @@ NodeManager::NodeManager( RayConfig::instance().memory_usage_threshold(), RayConfig::instance().min_memory_free_bytes(), RayConfig::instance().memory_monitor_refresh_ms(), - CreateMemoryUsageRefreshCallback())) { + CreateMemoryUsageRefreshCallback())), + cgroup_manager_(std::move(cgroup_manager)) { RAY_LOG(INFO).WithField(kLogKeyNodeID, self_node_id_) << "Initializing NodeManager"; placement_group_resource_manager_ = diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 38665194bd8b..30574ec68db6 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -23,6 +23,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_spec.h" +#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" @@ -148,7 +149,8 @@ class NodeManager : public rpc::NodeManagerServiceHandler, plasma::PlasmaClientInterface &store_client, std::unique_ptr mutable_object_provider, - std::function shutdown_raylet_gracefully); + std::function shutdown_raylet_gracefully, + std::unique_ptr cgroup_manager); /// Handle an unexpected error that occurred on a client connection. /// The client will be disconnected and no more messages will be processed. @@ -884,6 +886,8 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Monitors and reports node memory usage and whether it is above threshold. std::unique_ptr memory_monitor_; + + std::unique_ptr cgroup_manager_; }; } // namespace ray::raylet diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 615dae910b46..f0891cb5c4a5 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -186,6 +186,8 @@ ray_cc_test( "//src/ray/common:lease", "//src/ray/common:ray_object", "//src/ray/common:task_common", + "//src/ray/common/cgroup2:cgroup_manager_interface", + "//src/ray/object_manager/plasma:plasma_client", "//src/ray/observability:fake_metric", "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index bd3780619e26..6185d2ee63eb 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -33,6 +33,7 @@ #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" +#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/observability/fake_metric.h" #include "ray/raylet/local_object_manager_interface.h" @@ -392,28 +393,30 @@ class NodeManagerTest : public ::testing::Test { [](const ray::RayLease &lease) {}, *local_lease_manager_); - node_manager_ = std::make_unique(io_service_, - raylet_node_id_, - "test_node_name", - node_manager_config, - *mock_gcs_client_, - client_call_manager_, - worker_rpc_pool_, - raylet_client_pool_, - *core_worker_subscriber_, - *cluster_resource_scheduler_, - *local_lease_manager_, - *cluster_lease_manager_, - *mock_object_directory_, - *mock_object_manager_, - *local_object_manager_, - *lease_dependency_manager_, - mock_worker_pool_, - leased_workers_, - *mock_store_client_, - std::move(mutable_object_provider), - /*shutdown_raylet_gracefully=*/ - [](const auto &) {}); + node_manager_ = std::make_unique( + io_service_, + raylet_node_id_, + "test_node_name", + node_manager_config, + *mock_gcs_client_, + client_call_manager_, + worker_rpc_pool_, + raylet_client_pool_, + *core_worker_subscriber_, + *cluster_resource_scheduler_, + *local_lease_manager_, + *cluster_lease_manager_, + *mock_object_directory_, + *mock_object_manager_, + *local_object_manager_, + *lease_dependency_manager_, + mock_worker_pool_, + leased_workers_, + *mock_store_client_, + std::move(mutable_object_provider), + /*shutdown_raylet_gracefully=*/ + [](const auto &) {}, + std::move(cgroup_manager_)); } instrumented_io_context io_service_; @@ -432,6 +435,7 @@ class NodeManagerTest : public ::testing::Test { std::make_unique(); std::unique_ptr mock_object_directory_; std::unique_ptr mock_object_manager_; + std::unique_ptr cgroup_manager_; core::experimental::MockMutableObjectProvider *mock_mutable_object_provider_; std::shared_ptr mock_store_client_ = std::make_shared(); From f342a2e4088bfaffeb91d9c9a955c0255eb77191 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 16 Sep 2025 15:42:55 -0700 Subject: [PATCH 1239/1566] [core][1eventx/04] node event: send node events to the aggregator (#56426) Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- BUILD.bazel | 3 + .../aggregator/tests/test_ray_node_events.py | 68 ++++++++++++ src/mock/ray/gcs/gcs_node_manager.h | 6 +- src/mock/ray/gcs/gcs_resource_manager.h | 11 +- src/ray/gcs/BUILD.bazel | 3 + src/ray/gcs/gcs_node_manager.cc | 38 +++++-- src/ray/gcs/gcs_node_manager.h | 10 +- src/ray/gcs/gcs_server.cc | 4 +- src/ray/gcs/tests/BUILD.bazel | 5 + .../gcs_node_manager_export_event_test.cc | 11 +- .../tests/gcs_actor_scheduler_mock_test.cc | 12 ++- src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 15 ++- src/ray/gcs/tests/gcs_node_manager_test.cc | 101 +++++++++++++++++- .../gcs_placement_group_scheduler_test.cc | 15 ++- src/ray/observability/BUILD.bazel | 28 +++++ .../ray_node_definition_event.cc | 48 +++++++++ .../observability/ray_node_definition_event.h | 38 +++++++ .../observability/ray_node_lifecycle_event.cc | 83 ++++++++++++++ .../observability/ray_node_lifecycle_event.h | 38 +++++++ .../public/events_node_definition_event.proto | 2 +- .../public/events_node_lifecycle_event.proto | 2 +- 21 files changed, 506 insertions(+), 35 deletions(-) create mode 100644 python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py create mode 100644 src/ray/observability/ray_node_definition_event.cc create mode 100644 src/ray/observability/ray_node_definition_event.h create mode 100644 src/ray/observability/ray_node_lifecycle_event.cc create mode 100644 src/ray/observability/ray_node_lifecycle_event.h diff --git a/BUILD.bazel b/BUILD.bazel index 9224cf8f2373..b9417fc15bf9 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -118,6 +118,9 @@ ray_cc_library( "src/mock/ray/common/ray_syncer/ray_syncer.h", ], ), + deps = [ + "//src/ray/observability:fake_ray_event_recorder", + ], ) ray_cc_library( diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py new file mode 100644 index 000000000000..da4514c48574 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py @@ -0,0 +1,68 @@ +import base64 +import json +import sys + +import pytest + +import ray +import ray.dashboard.consts as dashboard_consts +from ray._private import ray_constants +from ray._private.test_utils import wait_for_condition +from ray._raylet import GcsClient +from ray.dashboard.tests.conftest import * # noqa + +_RAY_EVENT_PORT = 12345 + + +@pytest.fixture(scope="session") +def httpserver_listen_address(): + return ("127.0.0.1", _RAY_EVENT_PORT) + + +def wait_for_dashboard_agent_available(cluster): + gcs_client = GcsClient(address=cluster.address) + + def get_dashboard_agent_address(): + return gcs_client.internal_kv_get( + f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), + namespace=ray_constants.KV_NAMESPACE_DASHBOARD, + timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, + ) + + wait_for_condition(lambda: get_dashboard_agent_address() is not None) + + +def test_ray_node_events(ray_start_cluster, httpserver): + cluster = ray_start_cluster + cluster.add_node( + env_vars={ + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": f"http://127.0.0.1:{_RAY_EVENT_PORT}", + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "NODE_DEFINITION_EVENT,NODE_LIFECYCLE_EVENT", + }, + _system_config={ + "enable_ray_event": True, + }, + ) + cluster.wait_for_nodes() + ray.init(address=cluster.address) + wait_for_dashboard_agent_available(cluster) + + # Check that a node definition and a node lifecycle event are published. + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + wait_for_condition(lambda: len(httpserver.log) >= 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + assert len(req_json) == 2 + assert ( + base64.b64decode(req_json[0]["nodeDefinitionEvent"]["nodeId"]).hex() + == cluster.head_node.node_id + ) + assert ( + base64.b64decode(req_json[1]["nodeLifecycleEvent"]["nodeId"]).hex() + == cluster.head_node.node_id + ) + assert req_json[1]["nodeLifecycleEvent"]["stateTransitions"][0]["state"] == "ALIVE" + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/src/mock/ray/gcs/gcs_node_manager.h b/src/mock/ray/gcs/gcs_node_manager.h index ef81ef8a6d71..2c69bcabf5bd 100644 --- a/src/mock/ray/gcs/gcs_node_manager.h +++ b/src/mock/ray/gcs/gcs_node_manager.h @@ -17,6 +17,7 @@ #include #include "ray/gcs/gcs_node_manager.h" +#include "ray/observability/fake_ray_event_recorder.h" namespace ray { namespace gcs { @@ -28,7 +29,9 @@ class MockGcsNodeManager : public GcsNodeManager { /*gcs_table_storage=*/nullptr, /*io_context=*/mocked_io_context_not_used_, /*raylet_client_pool=*/nullptr, - /*cluster_id=*/ClusterID::Nil()) {} + /*cluster_id=*/ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/"") {} MOCK_METHOD(void, HandleRegisterNode, (rpc::RegisterNodeRequest request, @@ -50,6 +53,7 @@ class MockGcsNodeManager : public GcsNodeManager { MOCK_METHOD(void, DrainNode, (const NodeID &node_id), (override)); instrumented_io_context mocked_io_context_not_used_; + observability::FakeRayEventRecorder fake_ray_event_recorder_; }; } // namespace gcs diff --git a/src/mock/ray/gcs/gcs_resource_manager.h b/src/mock/ray/gcs/gcs_resource_manager.h index 0d5c83531cb3..5e2b1fcc80e0 100644 --- a/src/mock/ray/gcs/gcs_resource_manager.h +++ b/src/mock/ray/gcs/gcs_resource_manager.h @@ -18,14 +18,21 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/gcs_resource_manager.h" +#include "ray/observability/fake_ray_event_recorder.h" namespace ray { namespace gcs { static instrumented_io_context __mock_io_context_; static ClusterResourceManager __mock_cluster_resource_manager_(__mock_io_context_); -static GcsNodeManager __mock_gcs_node_manager_( - nullptr, nullptr, __mock_io_context_, nullptr, ClusterID::Nil()); +static observability::FakeRayEventRecorder __mock_ray_event_recorder_; +static GcsNodeManager __mock_gcs_node_manager_(nullptr, + nullptr, + __mock_io_context_, + nullptr, + ClusterID::Nil(), + __mock_ray_event_recorder_, + ""); class MockGcsResourceManager : public GcsResourceManager { public: diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 5493169d3f6b..1caf1591f017 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -74,6 +74,9 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", + "//src/ray/observability:ray_event_recorder_interface", + "//src/ray/observability:ray_node_definition_event", + "//src/ray/observability:ray_node_lifecycle_event", "//src/ray/protobuf:autoscaler_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", diff --git a/src/ray/gcs/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc index ffa6a7fee49a..cb0bd07be91d 100644 --- a/src/ray/gcs/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -23,6 +23,8 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/protobuf_utils.h" +#include "ray/observability/ray_node_definition_event.h" +#include "ray/observability/ray_node_lifecycle_event.h" #include "ray/util/logging.h" #include "ray/util/time.h" #include "src/ray/protobuf/gcs.pb.h" @@ -30,20 +32,36 @@ namespace ray { namespace gcs { -GcsNodeManager::GcsNodeManager(pubsub::GcsPublisher *gcs_publisher, - gcs::GcsTableStorage *gcs_table_storage, - instrumented_io_context &io_context, - rpc::RayletClientPool *raylet_client_pool, - const ClusterID &cluster_id) +GcsNodeManager::GcsNodeManager( + pubsub::GcsPublisher *gcs_publisher, + gcs::GcsTableStorage *gcs_table_storage, + instrumented_io_context &io_context, + rpc::RayletClientPool *raylet_client_pool, + const ClusterID &cluster_id, + observability::RayEventRecorderInterface &ray_event_recorder, + const std::string &session_name) : gcs_publisher_(gcs_publisher), gcs_table_storage_(gcs_table_storage), io_context_(io_context), raylet_client_pool_(raylet_client_pool), cluster_id_(cluster_id), + ray_event_recorder_(ray_event_recorder), + session_name_(session_name), export_event_write_enabled_(IsExportAPIEnabledNode()) {} -void GcsNodeManager::WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info) const { - /// Write node_info as a export node event if enable_export_api_write() is enabled. +void GcsNodeManager::WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info, + bool is_register_event) const { + if (RayConfig::instance().enable_ray_event()) { + std::vector> events; + if (is_register_event) { + events.push_back(std::make_unique( + node_info, session_name_)); + } + events.push_back( + std::make_unique(node_info, session_name_)); + ray_event_recorder_.AddEvents(std::move(events)); + return; + } if (!export_event_write_enabled_) { return; } @@ -94,7 +112,7 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, RAY_CHECK_OK(status) << "Failed to register node '" << node_id << "'."; RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node."; AddNode(std::make_shared(node_info_copy)); - WriteNodeExportEvent(node_info_copy); + WriteNodeExportEvent(node_info_copy, /*is_register_event*/ true); gcs_publisher_->PublishNodeInfo(node_id, std::move(node_info_copy)); GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); }; @@ -165,7 +183,7 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, auto on_put_done = [this, node_id, node_info_delta, node](const Status &status) { gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta); - WriteNodeExportEvent(*node); + WriteNodeExportEvent(*node, /*is_register_event*/ false); }; gcs_table_storage_->NodeTable().Put(node_id, *node, {on_put_done, io_context_}); GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); @@ -461,7 +479,7 @@ void GcsNodeManager::OnNodeFailure( node_table_updated_callback, node_info_delta = std::move(node_info_delta), node](const Status &status) mutable { - WriteNodeExportEvent(*node); + WriteNodeExportEvent(*node, /*is_register_event*/ false); if (node_table_updated_callback != nullptr) { node_table_updated_callback(); } diff --git a/src/ray/gcs/gcs_node_manager.h b/src/ray/gcs/gcs_node_manager.h index fe463d6adf8d..cfb1e7fa6545 100644 --- a/src/ray/gcs/gcs_node_manager.h +++ b/src/ray/gcs/gcs_node_manager.h @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_init_data.h" #include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/grpc_service_interfaces.h" +#include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/rpc/raylet/raylet_client_pool.h" #include "ray/stats/metric_defs.h" @@ -53,7 +54,9 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { GcsTableStorage *gcs_table_storage, instrumented_io_context &io_context, rpc::RayletClientPool *raylet_client_pool, - const ClusterID &cluster_id); + const ClusterID &cluster_id, + observability::RayEventRecorderInterface &ray_event_recorder, + const std::string &session_name); /// Handle register rpc request come from raylet. void HandleGetClusterId(rpc::GetClusterIdRequest request, @@ -190,7 +193,8 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { /// \return The inferred death info of the node. rpc::NodeDeathInfo InferDeathInfo(const NodeID &node_id); - void WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info) const; + void WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info, + bool is_register_event) const; // Verify if export events should be written for EXPORT_NODE source types bool IsExportAPIEnabledNode() const { @@ -270,6 +274,8 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { rpc::RayletClientPool *raylet_client_pool_; /// Cluster ID to be shared with clients when connecting. const ClusterID cluster_id_; + observability::RayEventRecorderInterface &ray_event_recorder_; + std::string session_name_; // Debug info. enum CountType { diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index 6dcd258465f2..1b998334d0bb 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -329,7 +329,9 @@ void GcsServer::InitGcsNodeManager(const GcsInitData &gcs_init_data) { gcs_table_storage_.get(), io_context_provider_.GetDefaultIOContext(), &raylet_client_pool_, - rpc_server_.GetClusterId()); + rpc_server_.GetClusterId(), + *ray_event_recorder_, + config_.session_name); // Initialize by gcs tables data. gcs_node_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index 012661e15b01..dd18e193a5e6 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -110,6 +110,8 @@ ray_cc_test( "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/gcs:gcs_node_manager", + "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "@com_google_googletest//:gtest_main", ], ) @@ -191,6 +193,7 @@ ray_cc_test( "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -212,6 +215,7 @@ ray_cc_test( "//src/ray/gcs:gcs_actor_scheduler", "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -440,6 +444,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", + "//src/ray/observability:fake_ray_event_recorder", "//src/ray/util:string_utils", "@com_google_googletest//:gtest", ], diff --git a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc index 5c2ceb17f61b..b453dd6e0f2f 100644 --- a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc @@ -26,6 +26,7 @@ #include "ray/common/test_utils.h" #include "ray/gcs/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" @@ -85,11 +86,14 @@ class GcsNodeManagerExportAPITest : public ::testing::Test { TEST_F(GcsNodeManagerExportAPITest, TestExportEventRegisterNode) { // Test export event is written when a node is added with HandleRegisterNode + observability::FakeRayEventRecorder fake_ray_event_recorder; gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), io_service_, client_pool_.get(), - ClusterID::Nil()); + ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder, + /*session_name=*/""); auto node = GenNodeInfo(); rpc::RegisterNodeRequest register_request; @@ -110,11 +114,14 @@ TEST_F(GcsNodeManagerExportAPITest, TestExportEventRegisterNode) { TEST_F(GcsNodeManagerExportAPITest, TestExportEventUnregisterNode) { // Test export event is written when a node is removed with HandleUnregisterNode + observability::FakeRayEventRecorder fake_ray_event_recorder; gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), io_service_, client_pool_.get(), - ClusterID::Nil()); + ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder, + /*session_name=*/""); auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); node_manager.AddNode(node); diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc index cbe43ab9f513..90349b2072ab 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc @@ -25,6 +25,7 @@ #include "ray/common/test_utils.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" +#include "ray/observability/fake_ray_event_recorder.h" #include "ray/util/counter_map.h" using namespace ::testing; // NOLINT @@ -46,8 +47,14 @@ class GcsActorSchedulerMockTest : public Test { core_worker_client = std::make_shared(); client_pool = std::make_unique( [this](const rpc::Address &) { return raylet_client; }); - gcs_node_manager = std::make_unique( - nullptr, nullptr, io_context, client_pool.get(), ClusterID::Nil()); + gcs_node_manager = + std::make_unique(nullptr, + nullptr, + io_context, + client_pool.get(), + ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/""); local_node_id = NodeID::FromRandom(); auto cluster_resource_scheduler = std::make_shared( io_context, @@ -99,6 +106,7 @@ class GcsActorSchedulerMockTest : public Test { std::shared_ptr core_worker_client; std::unique_ptr worker_client_pool_; std::unique_ptr client_pool; + observability::FakeRayEventRecorder fake_ray_event_recorder_; std::shared_ptr>> counter; MockCallback schedule_failure_handler; diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index 689007ffc67e..6142bcb60bc4 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -31,6 +31,7 @@ #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" #include "ray/util/counter_map.h" namespace ray { @@ -92,11 +93,14 @@ class GcsActorSchedulerTest : public ::testing::Test { store_client_ = std::make_shared(); gcs_table_storage_ = std::make_unique(std::make_unique()); - gcs_node_manager_ = std::make_shared(gcs_publisher_.get(), - gcs_table_storage_.get(), - io_context_->GetIoService(), - raylet_client_pool_.get(), - ClusterID::Nil()); + gcs_node_manager_ = std::make_shared( + gcs_publisher_.get(), + gcs_table_storage_.get(), + io_context_->GetIoService(), + raylet_client_pool_.get(), + ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/""); gcs_actor_table_ = std::make_shared(store_client_); local_node_id_ = NodeID::FromRandom(); cluster_resource_scheduler_ = std::make_unique( @@ -206,6 +210,7 @@ class GcsActorSchedulerTest : public ::testing::Test { std::shared_ptr worker_client_; std::unique_ptr worker_client_pool_; std::shared_ptr gcs_node_manager_; + observability::FakeRayEventRecorder fake_ray_event_recorder_; std::unique_ptr local_lease_manager_; std::unique_ptr cluster_resource_scheduler_; std::shared_ptr cluster_lease_manager_; diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index 0406017f31cb..f6491df0dc8c 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -22,7 +22,10 @@ #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" +#include "ray/common/ray_config.h" #include "ray/common/test_utils.h" +#include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" namespace ray { class GcsNodeManagerTest : public ::testing::Test { @@ -35,7 +38,10 @@ class GcsNodeManagerTest : public ::testing::Test { }); gcs_publisher_ = std::make_unique( std::make_unique()); + gcs_table_storage_ = std::make_unique( + std::make_shared()); io_context_ = std::make_unique("GcsNodeManagerTest"); + fake_ray_event_recorder_ = std::make_unique(); } protected: @@ -43,14 +49,99 @@ class GcsNodeManagerTest : public ::testing::Test { std::unique_ptr client_pool_; std::unique_ptr gcs_publisher_; std::unique_ptr io_context_; + std::unique_ptr fake_ray_event_recorder_; }; +TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { + RayConfig::instance().initialize( + R"( +{ +"enable_ray_event": true +} +)"); + gcs::GcsNodeManager node_manager(gcs_publisher_.get(), + gcs_table_storage_.get(), + io_context_->GetIoService(), + client_pool_.get(), + ClusterID::Nil(), + *fake_ray_event_recorder_, + "test_session_name"); + auto node = GenNodeInfo(); + rpc::RegisterNodeRequest register_request; + register_request.mutable_node_info()->CopyFrom(*node); + rpc::RegisterNodeReply register_reply; + auto send_reply_callback = + [](ray::Status status, std::function f1, std::function f2) {}; + // Add a node to the manager + node_manager.HandleRegisterNode(register_request, ®ister_reply, send_reply_callback); + io_context_->GetIoService().poll(); + auto register_events = fake_ray_event_recorder_->FlushBuffer(); + + // Test the node definition event + alive node lifecycle event + ASSERT_EQ(register_events.size(), 2); + auto ray_event_0 = std::move(*register_events[0]).Serialize(); + auto ray_event_1 = std::move(*register_events[1]).Serialize(); + ASSERT_EQ(ray_event_0.event_type(), rpc::events::RayEvent::NODE_DEFINITION_EVENT); + ASSERT_EQ(ray_event_0.source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(ray_event_0.severity(), rpc::events::RayEvent::INFO); + ASSERT_EQ(ray_event_0.session_name(), "test_session_name"); + ASSERT_EQ(ray_event_0.node_definition_event().node_id(), node->node_id()); + ASSERT_EQ(ray_event_0.node_definition_event().node_ip_address(), + node->node_manager_address()); + std::map event_labels( + ray_event_0.node_definition_event().labels().begin(), + ray_event_0.node_definition_event().labels().end()); + std::map node_labels(node->labels().begin(), + node->labels().end()); + ASSERT_EQ(event_labels, node_labels); + ASSERT_EQ(ray_event_1.event_type(), rpc::events::RayEvent::NODE_LIFECYCLE_EVENT); + ASSERT_EQ(ray_event_1.source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(ray_event_1.severity(), rpc::events::RayEvent::INFO); + ASSERT_EQ(ray_event_1.session_name(), "test_session_name"); + ASSERT_EQ(ray_event_1.node_lifecycle_event().node_id(), node->node_id()); + ASSERT_EQ(ray_event_1.node_lifecycle_event().state_transitions(0).state(), + rpc::events::NodeLifecycleEvent::ALIVE); + + // Remove the node from the manager + rpc::UnregisterNodeRequest unregister_request; + unregister_request.set_node_id(node->node_id()); + unregister_request.mutable_node_death_info()->set_reason( + rpc::NodeDeathInfo::EXPECTED_TERMINATION); + unregister_request.mutable_node_death_info()->set_reason_message("mock reason message"); + rpc::UnregisterNodeReply unregister_reply; + node_manager.HandleUnregisterNode( + unregister_request, &unregister_reply, send_reply_callback); + io_context_->GetIoService().poll(); + + // Test the dead node lifecycle event + auto unregister_events = fake_ray_event_recorder_->FlushBuffer(); + ASSERT_EQ(unregister_events.size(), 1); + auto ray_event_03 = std::move(*unregister_events[0]).Serialize(); + ASSERT_EQ(ray_event_03.event_type(), rpc::events::RayEvent::NODE_LIFECYCLE_EVENT); + ASSERT_EQ(ray_event_03.source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(ray_event_03.severity(), rpc::events::RayEvent::INFO); + ASSERT_EQ(ray_event_03.session_name(), "test_session_name"); + ASSERT_EQ(ray_event_03.node_lifecycle_event().node_id(), node->node_id()); + ASSERT_EQ(ray_event_03.node_lifecycle_event().state_transitions(0).state(), + rpc::events::NodeLifecycleEvent::DEAD); + ASSERT_EQ( + ray_event_03.node_lifecycle_event().state_transitions(0).death_info().reason(), + rpc::events::NodeLifecycleEvent::DeathInfo::EXPECTED_TERMINATION); + ASSERT_EQ(ray_event_03.node_lifecycle_event() + .state_transitions(0) + .death_info() + .reason_message(), + "mock reason message"); +} + TEST_F(GcsNodeManagerTest, TestManagement) { gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), io_context_->GetIoService(), client_pool_.get(), - ClusterID::Nil()); + ClusterID::Nil(), + *fake_ray_event_recorder_, + "test_session_name"); // Test Add/Get/Remove functionality. auto node = GenNodeInfo(); auto node_id = NodeID::FromBinary(node->node_id()); @@ -68,7 +159,9 @@ TEST_F(GcsNodeManagerTest, TestListener) { gcs_table_storage_.get(), io_context_->GetIoService(), client_pool_.get(), - ClusterID::Nil()); + ClusterID::Nil(), + *fake_ray_event_recorder_, + "test_session_name"); // Test AddNodeAddedListener. int node_count = 1000; std::vector> added_nodes; @@ -111,7 +204,9 @@ TEST_F(GcsNodeManagerTest, TestUpdateAliveNode) { gcs_table_storage_.get(), io_context_->GetIoService(), client_pool_.get(), - ClusterID::Nil()); + ClusterID::Nil(), + *fake_ray_event_recorder_, + "test_session_name"); // Create a test node auto node = GenNodeInfo(); diff --git a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index 3a866866d72e..68a2fba93bdd 100644 --- a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -31,6 +31,7 @@ #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/util/counter_map.h" @@ -65,11 +66,14 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { /*is_node_available_fn=*/ [](auto) { return true; }, /*is_local_node_with_raylet=*/false); - gcs_node_manager_ = std::make_shared(gcs_publisher_.get(), - gcs_table_storage_.get(), - io_service_, - raylet_client_pool_.get(), - ClusterID::Nil()); + gcs_node_manager_ = + std::make_shared(gcs_publisher_.get(), + gcs_table_storage_.get(), + io_service_, + raylet_client_pool_.get(), + ClusterID::Nil(), + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/""); gcs_resource_manager_ = std::make_shared( io_service_, cluster_resource_scheduler_->GetClusterResourceManager(), @@ -295,6 +299,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { std::shared_ptr gcs_resource_manager_; std::shared_ptr cluster_resource_scheduler_; std::shared_ptr gcs_node_manager_; + observability::FakeRayEventRecorder fake_ray_event_recorder_; std::unique_ptr scheduler_; std::vector> success_placement_groups_ ABSL_GUARDED_BY(placement_group_requests_mutex_); diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index ac19b4f6eea2..024dcf35c57a 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -87,6 +87,34 @@ ray_cc_library( ], ) +ray_cc_library( + name = "ray_node_definition_event", + srcs = [ + "ray_node_definition_event.cc", + ], + hdrs = [ + "ray_node_definition_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_node_definition_event_cc_proto", + ], +) + +ray_cc_library( + name = "ray_node_lifecycle_event", + srcs = [ + "ray_node_lifecycle_event.cc", + ], + hdrs = [ + "ray_node_lifecycle_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_node_lifecycle_event_cc_proto", + ], +) + ray_cc_library( name = "ray_event_recorder_interface", hdrs = [ diff --git a/src/ray/observability/ray_node_definition_event.cc b/src/ray/observability/ray_node_definition_event.cc new file mode 100644 index 000000000000..d3640aafb648 --- /dev/null +++ b/src/ray/observability/ray_node_definition_event.cc @@ -0,0 +1,48 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_node_definition_event.h" + +namespace ray { +namespace observability { + +RayNodeDefinitionEvent::RayNodeDefinitionEvent(const rpc::GcsNodeInfo &data, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::NODE_DEFINITION_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + data_.set_node_id(data.node_id()); + data_.set_node_ip_address(data.node_manager_address()); + data_.mutable_labels()->insert(data.labels().begin(), data.labels().end()); +} + +std::string RayNodeDefinitionEvent::GetEntityId() const { return data_.node_id(); } + +void RayNodeDefinitionEvent::MergeData( + RayEvent &&other) { + // Definition events are static. Merging do not change the event. + return; +} + +ray::rpc::events::RayEvent RayNodeDefinitionEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_node_definition_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_node_definition_event.h b/src/ray/observability/ray_node_definition_event.h new file mode 100644 index 000000000000..74fa5d2b74be --- /dev/null +++ b/src/ray/observability/ray_node_definition_event.h @@ -0,0 +1,38 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_node_definition_event.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayNodeDefinitionEvent : public RayEvent { + public: + RayNodeDefinitionEvent(const rpc::GcsNodeInfo &data, const std::string &session_name); + + std::string GetEntityId() const override; + + protected: + void MergeData(RayEvent &&other) override; + ray::rpc::events::RayEvent SerializeData() && override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_node_lifecycle_event.cc b/src/ray/observability/ray_node_lifecycle_event.cc new file mode 100644 index 000000000000..4d4ef7a6868e --- /dev/null +++ b/src/ray/observability/ray_node_lifecycle_event.cc @@ -0,0 +1,83 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_node_lifecycle_event.h" + +namespace ray { +namespace observability { + +RayNodeLifecycleEvent::RayNodeLifecycleEvent(const rpc::GcsNodeInfo &data, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::NODE_LIFECYCLE_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + ray::rpc::events::NodeLifecycleEvent::StateTransition state_transition; + state_transition.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( + absl::ToInt64Nanoseconds(absl::Now() - absl::UnixEpoch()))); + if (data.state() == rpc::GcsNodeInfo::ALIVE) { + state_transition.set_state(rpc::events::NodeLifecycleEvent::ALIVE); + state_transition.mutable_resources()->insert(data.resources_total().begin(), + data.resources_total().end()); + } else { + state_transition.set_state(rpc::events::NodeLifecycleEvent::DEAD); + auto death_info = state_transition.mutable_death_info(); + death_info->set_reason_message(data.death_info().reason_message()); + auto death_info_reason = data.death_info().reason(); + switch (death_info_reason) { + case rpc::NodeDeathInfo::EXPECTED_TERMINATION: + death_info->set_reason( + rpc::events::NodeLifecycleEvent::DeathInfo::EXPECTED_TERMINATION); + break; + case rpc::NodeDeathInfo::UNEXPECTED_TERMINATION: + death_info->set_reason( + rpc::events::NodeLifecycleEvent::DeathInfo::UNEXPECTED_TERMINATION); + break; + case rpc::NodeDeathInfo::AUTOSCALER_DRAIN_PREEMPTED: + death_info->set_reason( + rpc::events::NodeLifecycleEvent::DeathInfo::AUTOSCALER_DRAIN_PREEMPTED); + break; + case rpc::NodeDeathInfo::AUTOSCALER_DRAIN_IDLE: + death_info->set_reason( + rpc::events::NodeLifecycleEvent::DeathInfo::AUTOSCALER_DRAIN_IDLE); + break; + default: + death_info->set_reason(rpc::events::NodeLifecycleEvent::DeathInfo::UNSPECIFIED); + break; + } + } + + data_.mutable_state_transitions()->Add(std::move(state_transition)); + data_.set_node_id(data.node_id()); +} + +std::string RayNodeLifecycleEvent::GetEntityId() const { return data_.node_id(); } + +void RayNodeLifecycleEvent::MergeData(RayEvent &&other) { + auto &&other_event = static_cast(other); + for (auto &state_transition : *other_event.data_.mutable_state_transitions()) { + data_.mutable_state_transitions()->Add(std::move(state_transition)); + } +} + +ray::rpc::events::RayEvent RayNodeLifecycleEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_node_lifecycle_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_node_lifecycle_event.h b/src/ray/observability/ray_node_lifecycle_event.h new file mode 100644 index 000000000000..743ff31d6a89 --- /dev/null +++ b/src/ray/observability/ray_node_lifecycle_event.h @@ -0,0 +1,38 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_node_lifecycle_event.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayNodeLifecycleEvent : public RayEvent { + public: + RayNodeLifecycleEvent(const rpc::GcsNodeInfo &data, const std::string &session_name); + + std::string GetEntityId() const override; + + protected: + void MergeData(RayEvent &&other) override; + ray::rpc::events::RayEvent SerializeData() && override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/protobuf/public/events_node_definition_event.proto b/src/ray/protobuf/public/events_node_definition_event.proto index 3d41a5ab27ed..69a5fe7959fb 100644 --- a/src/ray/protobuf/public/events_node_definition_event.proto +++ b/src/ray/protobuf/public/events_node_definition_event.proto @@ -14,7 +14,7 @@ syntax = "proto3"; -package ray.rpc; +package ray.rpc.events; // Message containing the definition of a node, as observed via GCS. // The message is expected to be emitted once per node creation. diff --git a/src/ray/protobuf/public/events_node_lifecycle_event.proto b/src/ray/protobuf/public/events_node_lifecycle_event.proto index cd72ea6b5a97..e7d0853c90df 100644 --- a/src/ray/protobuf/public/events_node_lifecycle_event.proto +++ b/src/ray/protobuf/public/events_node_lifecycle_event.proto @@ -16,7 +16,7 @@ syntax = "proto3"; import "google/protobuf/timestamp.proto"; -package ray.rpc; +package ray.rpc.events; // Message containing the lifecycle information of a node, as observed via GCS. // It can be used to capture the full state transition history. From ca97fa8497c870026dc618568a1ff91c18ad1eac Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 16 Sep 2025 15:59:21 -0700 Subject: [PATCH 1240/1566] [image] remove slim's dependency on normal bases (#56544) slim images are their own series that do not depend on other bases. they are built directly from ubuntu Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/_images.rayci.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.buildkite/_images.rayci.yml b/.buildkite/_images.rayci.yml index caa0b158f52d..055c5c8f188c 100644 --- a/.buildkite/_images.rayci.yml +++ b/.buildkite/_images.rayci.yml @@ -187,7 +187,6 @@ steps: - docker - skip-on-release-tests wanda: docker/base-slim/cpu.wanda.yaml - depends_on: raycpubase matrix: - "3.9" - "3.10" @@ -204,7 +203,6 @@ steps: - docker - skip-on-release-tests wanda: docker/base-slim/cuda.wanda.yaml - depends_on: raycudabase matrix: setup: python: From 2bec4a6e7515d501280fc0ee1a8c9246539e46fa Mon Sep 17 00:00:00 2001 From: Kevin Huang Date: Wed, 17 Sep 2025 07:29:35 +0800 Subject: [PATCH 1241/1566] [Data][doc] Update on ray.data.Dataset.map() type hints (#52455) ## Why are these changes needed? Currently, the type hints for `Dataset.map()` suggest it supports both direct returns and generators, but in practice generators are not supported and raise errors. This is misleading for users. This PR updates the type hints to accurately reflect supported types. ## Related issue number Closes #52279 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: chuang0221 Co-authored-by: Richard Liaw Signed-off-by: Douglas Strodtman --- python/ray/data/block.py | 2 +- python/ray/data/dataset.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/data/block.py b/python/ray/data/block.py index 6cbeeeae387b..8142ebe36a43 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -90,7 +90,7 @@ def __call__(self, __arg: T) -> Union[U, Iterator[U]]: ... -# A user defined function passed to map, map_batches, ec. +# A user defined function passed to flat_map, map_batches, etc. UserDefinedFunction = Union[ Callable[[T], U], Callable[[T], Iterator[U]], diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 53fcc3b0ef73..59391f36ce3f 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -274,7 +274,7 @@ def copy( @PublicAPI(api_group=BT_API_GROUP) def map( self, - fn: UserDefinedFunction[Dict[str, Any], Dict[str, Any]], + fn: Callable[[Dict[str, Any]], Dict[str, Any]], *, compute: Optional[ComputeStrategy] = None, fn_args: Optional[Iterable[Any]] = None, From 4261cde470fc837c6bce0312092676b1bcb19f6f Mon Sep 17 00:00:00 2001 From: Matthew Owen Date: Tue, 16 Sep 2025 17:00:57 -0700 Subject: [PATCH 1242/1566] [data] Small typo fix (#56560) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Matthew Owen Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/execution/resource_manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/resource_manager.py b/python/ray/data/_internal/execution/resource_manager.py index 4b2bfe4af666..be23a3001eb5 100644 --- a/python/ray/data/_internal/execution/resource_manager.py +++ b/python/ray/data/_internal/execution/resource_manager.py @@ -587,7 +587,7 @@ def _update_reservation(self): # Log a warning if even the first operator cannot reserve # the minimum resources. logger.warning( - f"Cluster resources are not engough to run any task from {op}." + f"Cluster resources are not enough to run any task from {op}." " The job may hang forever unless the cluster scales up." ) From de43e7f10c8747c6cb54304711b50174023b4e65 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 16 Sep 2025 20:52:25 -0400 Subject: [PATCH 1243/1566] [Data] Avoid unnecessary copying of blocks (#56569) ## Why are these changes needed? These were introduced before current serialization protocol inheriting from Arrow IPC was implemented therefore making this precautionary copies obsolete (IPC based serializer will actually do the copying properly). ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../_internal/execution/operators/limit_operator.py | 4 +++- .../execution/operators/map_transformer.py | 5 +---- python/ray/data/_internal/output_buffer.py | 13 +------------ 3 files changed, 5 insertions(+), 17 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/limit_operator.py b/python/ray/data/_internal/execution/operators/limit_operator.py index 246f34b82453..b6fe8ff56b40 100644 --- a/python/ray/data/_internal/execution/operators/limit_operator.py +++ b/python/ray/data/_internal/execution/operators/limit_operator.py @@ -54,7 +54,9 @@ def _add_input_inner(self, refs: RefBundle, input_index: int) -> None: else: # Slice the last block. def slice_fn(block, metadata, num_rows) -> Tuple[Block, BlockMetadata]: - block = BlockAccessor.for_block(block).slice(0, num_rows, copy=True) + block = BlockAccessor.for_block(block).slice( + 0, num_rows, copy=False + ) metadata = copy.deepcopy(metadata) metadata.num_rows = num_rows metadata.size_bytes = BlockAccessor.for_block(block).size_bytes() diff --git a/python/ray/data/_internal/execution/operators/map_transformer.py b/python/ray/data/_internal/execution/operators/map_transformer.py index 4d8870c4d3b8..07f7da7aad76 100644 --- a/python/ray/data/_internal/execution/operators/map_transformer.py +++ b/python/ray/data/_internal/execution/operators/map_transformer.py @@ -599,8 +599,5 @@ def __call__(self, blocks: Iterable[Block], ctx: TaskContext) -> Iterable[Block] offset = 0 split_sizes = _splitrange(block.num_rows(), self._additional_split_factor) for size in split_sizes: - # NOTE: copy=True is needed because this is an output block. If - # a block slice is put into the object store, the entire block - # will get serialized. - yield block.slice(offset, offset + size, copy=True) + yield block.slice(offset, offset + size, copy=False) offset += size diff --git a/python/ray/data/_internal/output_buffer.py b/python/ray/data/_internal/output_buffer.py index e2a8174db9b8..e893ed09621e 100644 --- a/python/ray/data/_internal/output_buffer.py +++ b/python/ray/data/_internal/output_buffer.py @@ -149,18 +149,7 @@ def next(self) -> Block: ) if target_num_rows is not None and target_num_rows < accessor.num_rows(): - # NOTE: We're maintaining following protocol of slicing underlying block - # into appropriately sized ones: - # - # - (Finalized) Target blocks sliced from the original one - # and are *copied* to avoid referencing original blocks - # - Temporary remainder of the block should *NOT* be copied - # such as to avoid repeatedly copying the remainder bytes - # of the block, resulting in O(M * N) total bytes being - # copied, where N is the total number of bytes in the original - # block and M is the number of blocks that will be produced by - # this iterator - block = accessor.slice(0, target_num_rows, copy=True) + block = accessor.slice(0, target_num_rows, copy=False) block_remainder = accessor.slice( target_num_rows, accessor.num_rows(), copy=False ) From 3bb93870dbb8cdfb557d3f01e2e50ad5613b9831 Mon Sep 17 00:00:00 2001 From: Jitesh Majety Date: Tue, 16 Sep 2025 22:42:42 -0400 Subject: [PATCH 1244/1566] =?UTF-8?q?[docs]=20Add=20guidance=20for=20match?= =?UTF-8?q?ing=20Ray=20and=20Python=20versions=20with=20uv=20envi=E2=80=A6?= =?UTF-8?q?=20(#56597)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit **docs: Add important note about using `uv run --active` to avoid Python version mismatch errors** - Added best practices for launching Ray applications with uv. ## Why are these changes needed? This change adds a prominent note to the dependency management documentation, warning users to use `uv run --active` to avoid Python version mismatches and related runtime errors when launching Ray applications. This addresses a common pitfall and improves the developer experience. ## Related issue number Closes #56583 ## Checks - [x] I've signed off every commit (by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] This PR only updates documentation; no code changes to test. --------- Signed-off-by: jitesh majety <36506374+jitesh98@users.noreply.github.com> Signed-off-by: Philipp Moritz Co-authored-by: jitesh majety <36506374+jitesh98@users.noreply.github.com> Co-authored-by: Philipp Moritz Signed-off-by: Douglas Strodtman --- doc/source/ray-core/handling-dependencies.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/doc/source/ray-core/handling-dependencies.rst b/doc/source/ray-core/handling-dependencies.rst index 993ac51ff644..3b2dbce46a40 100644 --- a/doc/source/ray-core/handling-dependencies.rst +++ b/doc/source/ray-core/handling-dependencies.rst @@ -377,6 +377,11 @@ run a Ray Serve application with `uv run serve run app:main`. **Best Practices and Tips:** +- If you are running on a Ray Cluster, the Ray and Python versions of your uv environment must be the same as the Ray and Python versions of your cluster or you will get a version mismatch exception. There are multiple ways to solve this: + + 1. If you are using ephemeral Ray clusters, run the application on a cluster with the right versions. + 2. If you need to run on a cluster with a different versions, consider modifying the versions of your uv environment by updating the `pyproject.toml` file or by using the `--active` flag with `uv run` (i.e., `uv run --active main.py`). + - Use `uv lock` to generate a lockfile and make sure all your dependencies are frozen, so things won't change in uncontrolled ways if a new version of a package gets released. - If you have a requirements.txt file, you can use `uv add -r requirement.txt` to add the dependencies to your `pyproject.toml` and then use that with uv run. From e12efd501055c5e275097d94bc9e7ac2c72511f5 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 17 Sep 2025 06:18:59 -0700 Subject: [PATCH 1245/1566] [core] Make PinObjectIDs RPC Fault Tolerant (#56443) Making PinObjectIDs RPC fault tolerant. Added cpp unit tests to verify idempotency. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- .../plasma/fake_plasma_client.h | 18 ++++--- src/ray/raylet/tests/node_manager_test.cc | 52 +++++++++++++++++++ src/ray/rpc/raylet/raylet_client.cc | 13 ++--- 3 files changed, 71 insertions(+), 12 deletions(-) diff --git a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h index 42030c1ab68a..cf0b30ff52af 100644 --- a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h +++ b/src/fakes/ray/object_manager/plasma/fake_plasma_client.h @@ -71,13 +71,19 @@ class FakePlasmaClient : public PlasmaClientInterface { Status Get(const std::vector &object_ids, int64_t timeout_ms, std::vector *object_buffers) override { + object_buffers->reserve(object_ids.size()); for (const auto &id : object_ids) { - auto &buffers = objects_in_plasma_[id]; - plasma::ObjectBuffer shm_buffer{std::make_shared( - buffers.first.data(), buffers.first.size()), - std::make_shared( - buffers.second.data(), buffers.second.size())}; - object_buffers->emplace_back(shm_buffer); + if (objects_in_plasma_.contains(id)) { + auto &buffers = objects_in_plasma_[id]; + plasma::ObjectBuffer shm_buffer{ + std::make_shared(buffers.first.data(), + buffers.first.size()), + std::make_shared(buffers.second.data(), + buffers.second.size())}; + object_buffers->emplace_back(shm_buffer); + } else { + object_buffers->emplace_back(plasma::ObjectBuffer{}); + } } return Status::OK(); } diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 6185d2ee63eb..61b2792c28de 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -1071,6 +1071,58 @@ TEST_F(NodeManagerTest, TestHandleCancelWorkerLeaseNoLeaseIdempotent) { ASSERT_EQ(reply2.success(), false); } +class PinObjectIDsIdempotencyTest : public NodeManagerTest, + public ::testing::WithParamInterface {}; + +TEST_P(PinObjectIDsIdempotencyTest, TestHandlePinObjectIDsIdempotency) { + // object_exists: determines whether we add an object to the plasma store which is used + // for pinning. + // object_exists == true: an object is added to the plasma store and PinObjectIDs is + // expected to succeed. A true boolean value is inserted at the index of the object + // in reply.successes. + // object_exists == false: an object is not added to the plasma store. PinObjectIDs will + // still succeed and not return an error when trying to pin a non-existent object, but + // will instead at the index of the object in reply.successes insert a false + // boolean value. + const bool object_exists = GetParam(); + ObjectID id = ObjectID::FromRandom(); + + if (object_exists) { + rpc::Address owner_addr; + plasma::flatbuf::ObjectSource source = plasma::flatbuf::ObjectSource::CreatedByWorker; + RAY_UNUSED(mock_store_client_->TryCreateImmediately( + id, owner_addr, 1024, nullptr, 1024, nullptr, source, 0)); + } + + rpc::PinObjectIDsRequest pin_request; + pin_request.add_object_ids(id.Binary()); + + rpc::PinObjectIDsReply reply1; + node_manager_->HandlePinObjectIDs( + pin_request, + &reply1, + [](Status s, std::function success, std::function failure) {}); + + int64_t primary_bytes = local_object_manager_->GetPrimaryBytes(); + rpc::PinObjectIDsReply reply2; + node_manager_->HandlePinObjectIDs( + pin_request, + &reply2, + [](Status s, std::function success, std::function failure) {}); + + // For each invocation of HandlePinObjectIDs, we expect the size of reply.successes and + // the boolean values it contains to not change. + EXPECT_EQ(reply1.successes_size(), 1); + EXPECT_EQ(reply1.successes(0), object_exists); + EXPECT_EQ(reply2.successes_size(), 1); + EXPECT_EQ(reply2.successes(0), object_exists); + EXPECT_EQ(local_object_manager_->GetPrimaryBytes(), primary_bytes); +} + +INSTANTIATE_TEST_SUITE_P(PinObjectIDsIdempotencyVariations, + PinObjectIDsIdempotencyTest, + testing::Bool()); + } // namespace ray::raylet int main(int argc, char **argv) { diff --git a/src/ray/rpc/raylet/raylet_client.cc b/src/ray/rpc/raylet/raylet_client.cc index 622271f4a30a..13e931b885a9 100644 --- a/src/ray/rpc/raylet/raylet_client.cc +++ b/src/ray/rpc/raylet/raylet_client.cc @@ -338,12 +338,13 @@ void RayletClient::PinObjectIDs( pins_in_flight_--; callback(status, std::move(reply)); }; - INVOKE_RPC_CALL(NodeManagerService, - PinObjectIDs, - request, - rpc_callback, - grpc_client_, - /*method_timeout_ms*/ -1); + INVOKE_RETRYABLE_RPC_CALL(retryable_grpc_client_, + NodeManagerService, + PinObjectIDs, + request, + rpc_callback, + grpc_client_, + /*method_timeout_ms*/ -1); } void RayletClient::ShutdownRaylet( From e03c8e526e099b6b28ee21c6df769b48fb796d6c Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 17 Sep 2025 06:23:30 -0700 Subject: [PATCH 1246/1566] [core] (cgroups 10/n) Adding support in CgroupManager and CgroupDriver to move processes into system cgroup (#56446) This PR stacks on #56352 . For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR the following functions to move a process into the system cgroup: * CgroupManagerInterface::AddProcessToSystemCgroup * CgroupDriverInterface::AddProcessToCgroup I've also added integration tests for SysFsCgroupDriver and unit tests for CgroupManager. Let me explain how these APIs will be used. In the next PR, the raylet will * be passed a list of pids of system processes that are started before the raylet starts and need to be moved into the system cgroup (e.g. gcs_server) * call CgroupManagerInterface::AddProcessToSystemCgroup for each of these pids to move them into the system cgroup. --------- Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../common/cgroup2/cgroup_driver_interface.h | 21 +++++ src/ray/common/cgroup2/cgroup_manager.cc | 19 +++++ src/ray/common/cgroup2/cgroup_manager.h | 22 +++++ .../common/cgroup2/cgroup_manager_interface.h | 22 ++++- src/ray/common/cgroup2/fake_cgroup_driver.h | 5 ++ .../sysfs_cgroup_driver_integration_test.cc | 68 ++++++++++++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.cc | 31 +++++++ src/ray/common/cgroup2/sysfs_cgroup_driver.h | 23 ++++++ .../cgroup2/tests/cgroup_manager_test.cc | 81 +++++++++++++++++++ 9 files changed, 291 insertions(+), 1 deletion(-) diff --git a/src/ray/common/cgroup2/cgroup_driver_interface.h b/src/ray/common/cgroup2/cgroup_driver_interface.h index 01f61c68e0e7..6aa4cb492f52 100644 --- a/src/ray/common/cgroup2/cgroup_driver_interface.h +++ b/src/ray/common/cgroup2/cgroup_driver_interface.h @@ -206,5 +206,26 @@ class CgroupDriverInterface { */ virtual StatusOr> GetEnabledControllers( const std::string &cgroup) = 0; + + /** + Adds the process to the specified cgroup. + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + + @param cgroup to move the process into. + @param pid of the process that will be moved. + + @return Status::OK if the process was moved successfully into the cgroup. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if process doesn't have read, write, and execute + permissions for the cgroup. + @return Status::InvalidArgument if the pid is invalid, does not exist, or any other + error. + */ + virtual Status AddProcessToCgroup(const std::string &cgroup, + const std::string &pid) = 0; }; } // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index 6fe06818855a..4e696490b010 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -26,6 +26,7 @@ #include "ray/common/cgroup2/cgroup_driver_interface.h" #include "ray/common/cgroup2/scoped_cgroup_operation.h" #include "ray/common/status_or.h" +#include "ray/util/logging.h" namespace ray { @@ -291,4 +292,22 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, return Status::OK(); } + +Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { + Status s = cgroup_driver_->AddProcessToCgroup(system_leaf_cgroup_, pid); + // TODO(#54703): Add link to OSS documentation once available. + RAY_CHECK(!s.IsNotFound()) << "Failed to move process " << pid << " into system cgroup " + << system_leaf_cgroup_ + << "because the cgroup was not found. " + "If resource isolation is enabled, Ray's cgroup " + "hierarchy must not be modified " + "while Ray is running."; + RAY_CHECK(!s.IsPermissionDenied()) + << "Failed to move process " << pid << " into system cgroup " << system_leaf_cgroup_ + << " because Ray does not have read, write, and execute " + "permissions for the cgroup. If resource isolation is enabled, Ray's cgroup " + "hierarchy must not be modified while Ray is running."; + + return s; +} } // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h index 14e7d0454442..443fb5f39bbf 100644 --- a/src/ray/common/cgroup2/cgroup_manager.h +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -69,6 +69,28 @@ class CgroupManager : public CgroupManagerInterface { CgroupManager(CgroupManager &&); CgroupManager &operator=(CgroupManager &&); + /** + Moves the process into the system leaf cgroup (@see + CgroupManagerInterface::kLeafCgroupName). + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the system leaf cgroup i.e. the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + + TODO(#54703): There currently is not a good way to signal to the caller that + the method can cause a FATAL error. Revisit this once we've settled on a pattern. + + NOTE: If the process does not have adequate cgroup permissions or the system leaf + cgroup does not exist, this will fail a RAY_CHECK. + + @param pid of the process to move into the system leaf cgroup. + + @return Status::OK if pid moved successfully. + @return Status::NotFound if the system cgroup does not exist. + */ + Status AddProcessToSystemCgroup(const std::string &pid) override; + /** Performs cleanup in reverse order from the Initialize function: 1. remove resource constraints to the system and application cgroups. diff --git a/src/ray/common/cgroup2/cgroup_manager_interface.h b/src/ray/common/cgroup2/cgroup_manager_interface.h index 2e8b8e2e36da..955370e0322b 100644 --- a/src/ray/common/cgroup2/cgroup_manager_interface.h +++ b/src/ray/common/cgroup2/cgroup_manager_interface.h @@ -45,7 +45,27 @@ class CgroupManagerInterface { // TODO(#54703): These will be implemented in a later PR to move processes // into a cgroup. // virtual Status AddProcessToApplicationCgroup(int) = 0; - // virtual Status AddProcessToSystemCgroup(int) = 0; + + /** + Moves the process into the system leaf cgroup (@see kLeafCgroupName). + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the system leaf cgroup i.e. the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + + TODO(#54703): There currently is not a good way to signal to the caller that + the method can cause a FATAL error. Revisit this once we've settled on a pattern. + + NOTE: If the process does not have adequate cgroup permissions or the system leaf + cgroup does not exist, this will fail a RAY_CHECK. + + @param pid of the process to move into the system leaf cgroup. + + @return Status::OK if pid moved successfully. + @return Status::NotFound if the system cgroup does not exist. + */ + virtual Status AddProcessToSystemCgroup(const std::string &pid) = 0; /** Cleans up the cgroup hierarchy, disables all controllers and removes all diff --git a/src/ray/common/cgroup2/fake_cgroup_driver.h b/src/ray/common/cgroup2/fake_cgroup_driver.h index e49e63429670..927302762c09 100644 --- a/src/ray/common/cgroup2/fake_cgroup_driver.h +++ b/src/ray/common/cgroup2/fake_cgroup_driver.h @@ -126,6 +126,7 @@ class FakeCgroupDriver : public CgroupDriverInterface { Status add_constraint_s_ = Status::OK(); Status available_controllers_s_ = Status::OK(); Status enabled_controllers_s_ = Status::OK(); + Status add_process_to_cgroup_s_ = Status::OK(); // These have no side-effects. Status CheckCgroupv2Enabled() override { return check_cgroup_enabled_s_; } @@ -222,6 +223,10 @@ class FakeCgroupDriver : public CgroupDriverInterface { } return (*cgroups_)[cgroup].enabled_controllers_; } + + Status AddProcessToCgroup(const std::string &cgroup, const std::string &pid) override { + return add_process_to_cgroup_s_; + } }; } // namespace ray diff --git a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc index 3be47faaf5bd..e793ec1a5036 100644 --- a/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc +++ b/src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test.cc @@ -622,4 +622,72 @@ TEST_F(SysFsCgroupDriverIntegrationTest, AddResourceConstraintSucceeds) { Status s = driver.AddConstraint(cgroup->GetPath(), "cpu", "cpu.weight", "500"); ASSERT_TRUE(s.ok()) << s.ToString(); } + +TEST_F(SysFsCgroupDriverIntegrationTest, AddProcessToCgroupFailsIfCgroupDoesNotExist) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + std::string non_existent_path = + cgroup->GetPath() + std::filesystem::path::preferred_separator + "nope"; + SysFsCgroupDriver driver; + Status s = driver.AddProcessToCgroup(non_existent_path, "123"); + ASSERT_TRUE(s.IsNotFound()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + AddProcessToCgroupFailsIfCNotReadWriteExecPermissionsForCgroup) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IREAD); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.AddProcessToCgroup(cgroup->GetPath(), "123"); + ASSERT_TRUE(s.IsPermissionDenied()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, AddProcessToCgroupFailsIfProcessDoesNotExist) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + SysFsCgroupDriver driver; + Status s = driver.AddProcessToCgroup(cgroup->GetPath(), "123"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST_F(SysFsCgroupDriverIntegrationTest, + AddProcessToCgroupSucceedsIfProcessExistsAndCorrectPermissions) { + auto cgroup_or_status = TempCgroupDirectory::Create(test_cgroup_path_, S_IRWXU); + ASSERT_TRUE(cgroup_or_status.ok()) << cgroup_or_status.ToString(); + auto cgroup = std::move(cgroup_or_status.value()); + auto child_cgroup_or_status = TempCgroupDirectory::Create(cgroup->GetPath(), S_IRWXU); + ASSERT_TRUE(child_cgroup_or_status.ok()) << child_cgroup_or_status.ToString(); + auto child_cgroup = std::move(child_cgroup_or_status.value()); + StatusOr> child_process_s = + StartChildProcessInCgroup(cgroup->GetPath()); + ASSERT_TRUE(child_process_s.ok()) << child_process_s.ToString(); + auto [child_pid, child_pidfd] = child_process_s.value(); + SysFsCgroupDriver driver; + Status s = + driver.AddProcessToCgroup(child_cgroup->GetPath(), std::to_string(child_pid)); + ASSERT_TRUE(s.ok()) << s.ToString(); + // Assert that the child's pid is actually in the new file. + std::string child_cgroup_procs_file_path = child_cgroup->GetPath() + + std::filesystem::path::preferred_separator + + "cgroup.procs"; + std::ifstream child_cgroup_procs_file(child_cgroup_procs_file_path); + ASSERT_TRUE(child_cgroup_procs_file.is_open()) + << "Could not open file " << child_cgroup_procs_file_path << "."; + std::unordered_set child_cgroup_pids; + int pid = -1; + while (child_cgroup_procs_file >> pid) { + ASSERT_FALSE(child_cgroup_procs_file.fail()) + << "Unable to read pid from file " << child_cgroup_procs_file_path; + child_cgroup_pids.emplace(pid); + } + EXPECT_EQ(child_cgroup_pids.size(), 1); + EXPECT_TRUE(child_cgroup_pids.find(child_pid) != child_cgroup_pids.end()); + Status terminate_s = + TerminateChildProcessAndWaitForTimeout(child_pid, child_pidfd, 5000); + ASSERT_TRUE(terminate_s.ok()) << terminate_s.ToString(); +} + } // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc index 4f799d90ae8a..7c0a833188e0 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.cc @@ -423,4 +423,35 @@ StatusOr> SysFsCgroupDriver::ReadControllerFile( return StatusOr>(controllers); } +Status SysFsCgroupDriver::AddProcessToCgroup(const std::string &cgroup, + const std::string &process) { + RAY_RETURN_NOT_OK(CheckCgroup(cgroup)); + std::filesystem::path cgroup_procs_file_path = + cgroup / std::filesystem::path(kCgroupProcsFilename); + + int fd = open(cgroup_procs_file_path.c_str(), O_RDWR); + + if (fd == -1) { + return Status::InvalidArgument(absl::StrFormat( + "Failed to write pid %s to cgroup.procs for cgroup %s with error %s", + process, + cgroup, + strerror(errno))); + } + + ssize_t bytes_written = write(fd, process.c_str(), process.size()); + + if (bytes_written != static_cast(process.size())) { + close(fd); + return Status::InvalidArgument(absl::StrFormat( + "Failed to write pid %s to cgroup.procs for cgroup %s with error %s", + process, + cgroup, + strerror(errno))); + } + + close(fd); + return Status::OK(); +} + } // namespace ray diff --git a/src/ray/common/cgroup2/sysfs_cgroup_driver.h b/src/ray/common/cgroup2/sysfs_cgroup_driver.h index 6b01fbe4886f..1d0be4904230 100644 --- a/src/ray/common/cgroup2/sysfs_cgroup_driver.h +++ b/src/ray/common/cgroup2/sysfs_cgroup_driver.h @@ -255,6 +255,29 @@ class SysFsCgroupDriver : public CgroupDriverInterface { const std::string &constraint, const std::string &constraint_value) override; + /** + Attempts to write pid to the cgroup.procs file of the specified cgroup. + + To write a pid to a cgroup.procs file, the process must have read, write, and execute + to the source, destination, and lowest-common ancestor of source and destination + cgroups. + + For more details, see the documentation: + - @see https://docs.kernel.org/admin-guide/cgroup-v2.html#delegation-containment + - @see https://docs.kernel.org/admin-guide/cgroup-v2.html#core-interface-files + + @param cgroup to move the process into. + @param pid pid of the process that will be moved. + + @return Status::OK if the process was moved successfully into the cgroup. + @return Status::NotFound if the cgroup does not exist. + @return Status::PermissionDenied if current user doesn't have read, write, and execute + permissions for the cgroup. + @return Status::InvalidArgument if the pid is invalid, does not exist, or any other + error. + */ + Status AddProcessToCgroup(const std::string &cgroup, const std::string &pid) override; + private: /** @param controller_file_path the absolute path of the controller file to read which is diff --git a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc index 409c0be053b9..e65fbd7076c4 100644 --- a/src/ray/common/cgroup2/tests/cgroup_manager_test.cc +++ b/src/ray/common/cgroup2/tests/cgroup_manager_test.cc @@ -283,4 +283,85 @@ TEST(CgroupManagerTest, CreateSucceedsWithCleanupInOrder) { ASSERT_EQ((*deleted_cgroups)[4].second, node_cgroup_path); } +TEST(CgroupManagerTest, AddProcessToSystemCgroupFailsIfInvalidProcess) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", + FakeCgroup{"/sys/fs/cgroup", {5}, {}, {"cpu", "memory"}, {}}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + driver->add_process_to_cgroup_s_ = Status::InvalidArgument(""); + + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup", "node_id_123", 100, 1000000, std::move(driver)); + ASSERT_TRUE(cgroup_manager_s.ok()) << cgroup_manager_s.ToString(); + + std::unique_ptr cgroup_manager = std::move(cgroup_manager_s.value()); + Status s = cgroup_manager->AddProcessToSystemCgroup("-1"); + ASSERT_TRUE(s.IsInvalidArgument()) << s.ToString(); +} + +TEST(CgroupManagerTest, AddProcessToSystemCgroupIsFatalIfSystemCgroupDoesNotExist) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", + FakeCgroup{"/sys/fs/cgroup", {5}, {}, {"cpu", "memory"}, {}}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + driver->add_process_to_cgroup_s_ = Status::NotFound(""); + + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup", "node_id_123", 100, 1000000, std::move(driver)); + ASSERT_TRUE(cgroup_manager_s.ok()) << cgroup_manager_s.ToString(); + + std::unique_ptr cgroup_manager = std::move(cgroup_manager_s.value()); + + EXPECT_DEATH((void)cgroup_manager->AddProcessToSystemCgroup("-1"), + "Failed to move.*not found"); +} + +TEST(CgroupManagerTest, + AddProcessToSystemCgroupIsFatalIfProcessDoesNotHavePermissionsForSystemCgroup) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", + FakeCgroup{"/sys/fs/cgroup", {5}, {}, {"cpu", "memory"}, {}}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + driver->add_process_to_cgroup_s_ = Status::PermissionDenied(""); + + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup", "node_id_123", 100, 1000000, std::move(driver)); + ASSERT_TRUE(cgroup_manager_s.ok()) << cgroup_manager_s.ToString(); + + std::unique_ptr cgroup_manager = std::move(cgroup_manager_s.value()); + + EXPECT_DEATH((void)cgroup_manager->AddProcessToSystemCgroup("-1"), + "Failed to move.*permissions"); +} + +TEST( + CgroupManagerTest, + AddProcessToSystemCgroupSucceedsIfSystemCgroupExistsWithCorrectPermissionsAndValidProcess) { + std::shared_ptr> cgroups = + std::make_shared>(); + cgroups->emplace("/sys/fs/cgroup", + FakeCgroup{"/sys/fs/cgroup", {5}, {}, {"cpu", "memory"}, {}}); + FakeCgroup base_cgroup{"/sys/fs/cgroup"}; + + std::unique_ptr driver = FakeCgroupDriver::Create(cgroups); + + auto cgroup_manager_s = CgroupManager::Create( + "/sys/fs/cgroup", "node_id_123", 100, 1000000, std::move(driver)); + ASSERT_TRUE(cgroup_manager_s.ok()) << cgroup_manager_s.ToString(); + + std::unique_ptr cgroup_manager = std::move(cgroup_manager_s.value()); + + Status s = cgroup_manager->AddProcessToSystemCgroup("5"); + ASSERT_TRUE(s.ok()) << s.ToString(); +} + } // namespace ray From 07b83c8ae65246a1958d28d89ea74fd8bd51d77d Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Fri, 19 Sep 2025 16:09:49 -0400 Subject: [PATCH 1247/1566] WIP edits Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/index.rst | 9 +++++++-- doc/source/ray-core/scheduling/labels.md | 14 +++++--------- doc/source/ray-core/scheduling/resources.rst | 13 +++---------- 3 files changed, 15 insertions(+), 21 deletions(-) diff --git a/doc/source/ray-core/scheduling/index.rst b/doc/source/ray-core/scheduling/index.rst index 77fb5671b138..77eee6c31244 100644 --- a/doc/source/ray-core/scheduling/index.rst +++ b/doc/source/ray-core/scheduling/index.rst @@ -3,8 +3,10 @@ Scheduling ========== -For each task or actor, Ray will choose a node to run it and the scheduling decision is based on the following factors. +This page provides an overview of how Ray decides to schedule tasks and actors to nodes. +.. DJS 19 Sept 2025: There should be an overview of all features and configs that impact scheduling here. + This should include descriptions for default values and behaviors, and links to things like default labels or resource definitions that can be used for scheduling without customization. Labels ------ @@ -15,7 +17,10 @@ Labels are currently offered as an alpha feature. As this feature becomes stable - NodeAffinitySchedulingStrategy when `soft=false`. Use the default `ray.io/node-id` label instead. - The `accelerator_type` option for tasks and actors. Use the default `ray.io/accelerator-type` label instead. -- Custom resources such as the `special_hardware` pattern. Use custom labels instead. + +.. note:: + + A legacy pattern recommended using custom resources for label-based scheduling. We now recommend only using custom resources when you need to manage scheduling using numeric values. .. _ray-scheduling-resources: diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index 1d043dda1cf6..34cef90768dc 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -2,13 +2,14 @@ description: "Learn about using labels to control how Ray schedules tasks, actors, and placement groups to nodes in your Kubernetes cluster." --- +(labels)= # Use labels to control scheduling -In Ray version 2.48.0 and above, you can use labels to control scheduling for KubeRay. Labels are supported as an alpha feature. +In Ray version 2.49.0 and above, you can use labels to control scheduling for KubeRay. Labels are supported as a beta feature. This page provides a conceptual overview and usage instructions for labels. Labels are key-value pairs that provide a human-readable configuration for users to control how Ray schedules tasks, actors, and placement group bundles to specific nodes. -Ray labels build upon Kubernetes labels, including formatting restrictions. See the [Kubernetes docs on labels and selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/). +.. note:: Ray labels share the same syntax and formatting restrictions as Kubernetes labels, but are conceptually distinct. See the [Kubernetes docs on labels and selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#syntax-and-character-set). ## How do labels work? @@ -28,18 +29,13 @@ During cluster initilization or as autoscaling events add nodes to your cluster, | Label | Description | | --- | --- | | `ray.io/node-id` | A unique ID generated for the node. | -| `ray.io/accelerator-type` | The accelerator type of the node, for example `L4`. CPU-only machines have an empty string. | -| `ray.io/market-type` | Indicates whether the node uses `spot` instances or `on-demand` instances. | -| `ray.io/node-group` | The name of the node worker group or `head` for the head node. You specify group names while configuring worker groups. See [](kuberay-config). | -| `ray.io/region` | The cloud region of the node. | -| `ray.io/availability-zone` | The available zone of the node. | +| `ray.io/accelerator-type` | The accelerator type of the node, for example `L4`. CPU-only machines have an empty string. See {ref}`accelerator types ` for a mapping of values. | .. note:: You can override default values using `ray start` parameters. The following are examples of default labels: ```python -"ray.io/market-type": "spot" # Default label specifying the node is a spot instance. "ray.io/accelerator-type": "" # Default label indicating the machine is CPU-only. ``` @@ -50,7 +46,7 @@ You can add custom labels to your nodes using the `--labels` or `--labels-file` -.. note:: You can't set labels using `ray.init()`. Local Ray clusters do not support labels. +.. note:: You can't set labels using `ray.init()`. Local Ray clusters don't support labels. (label-selectors)= ## Specify label selectors diff --git a/doc/source/ray-core/scheduling/resources.rst b/doc/source/ray-core/scheduling/resources.rst index 41075c58a52d..2d3ee983af20 100644 --- a/doc/source/ray-core/scheduling/resources.rst +++ b/doc/source/ray-core/scheduling/resources.rst @@ -62,16 +62,9 @@ The fact that resources are logical has several implications: Custom Resources ---------------- -Besides pre-defined resources, you can also specify a Ray node's custom resources and request them in your tasks or actors. -Some use cases for custom resources: - -- Your node has special hardware and you can represent it as a custom resource. - Then your tasks or actors can request the custom resource via ``@ray.remote(resources={"special_hardware": 1})`` - and Ray will schedule the tasks or actors to the node that has the custom resource. -- You can use custom resources as labels to tag nodes and you can achieve label based affinity scheduling. - For example, you can do ``ray.remote(resources={"custom_label": 0.001})`` to schedule tasks or actors to nodes with ``custom_label`` custom resource. - For this use case, the actual quantity doesn't matter, and the convention is to specify a tiny number so that the label resource is - not the limiting factor for parallelism. +You can specify custom resources for a Ray node and reference them to control scheduling for your tasks or actors. + +Use custom resources when you need to manage scheduling using numeric values. If you need simple label-based scheduling, use labels instead. See :doc:`./labels.md`. .. _specify-node-resources: From 291581ff1b5c3fb65c57edb05d19add745a2806a Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Fri, 19 Sep 2025 16:10:34 -0400 Subject: [PATCH 1248/1566] Apply suggestions from code review Co-authored-by: Mengjin Yan Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/labels.md | 53 +++++++++++++++++++++--- 1 file changed, 47 insertions(+), 6 deletions(-) diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index 34cef90768dc..2635c84db0d9 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -68,10 +68,10 @@ The following table shows the basic syntax for label selector operator logic: | In | Label matches on of the provided values. | `{“key”: “in(val1,val2)”}` | Not in | Label matches none of the provided values. | `{“key”: “!in(val1,val2)”}` -You can specify one or more label selectors as a dict. When specifying multiple label selectors, the candidate node must meet all requirements. The following example configuration uses a custom label to require an `m5.16xlarge` EC2 instance and a default label to require a spot instance: +You can specify one or more label selectors as a dict. When specifying multiple label selectors, the candidate node must meet all requirements. The following example configuration uses a custom label to require an `m5.16xlarge` EC2 instance and a default label to require node id to be 123: ```python -label_selector={"instance_type": "m5.16xlarge", “ray.io/market_type”: “spot”} +label_selector={"instance_type": "m5.16xlarge", “ray.io/node-id”: “123”} ``` ## Specify label requirements for Tasks & Actors @@ -79,12 +79,32 @@ label_selector={"instance_type": "m5.16xlarge", “ray.io/market_type”: “spo Use the following syntax to add label selectors to tasks and actors: ```python +# An example for specifing label_selector in task's @ray.remote annotation @ray.remote(label_selector={"label_name":"label_value"}) def f(): pass -``` - +# An example of specifying label_selector in actor's @ray.remote annotation +@ray.remote(label_selector={"ray.io/accelerator-type": "nvidia-h100"}) +class Actor: + pass + +# An example of specifying label_selector in task's options +@ray.remote +def test_task_label_in_options(): + pass + +test_task_label_in_options.options(label_selector={"test-lable-key": "test-label-value"}).remote() + +# An example of specifying label_selector in actor's options +@ray.remote +class Actor: + pass + +actor_1 = Actor.options( + label_selector={"ray.io/accelerator-type": "nvidia-h100"}, +).remote() +``` ## Specify label requirements for placement group bundles @@ -103,6 +123,16 @@ ray.util.placement_group( bundle_label_selector=[{"ray.io/market-type": "spot"}] + [{"ray.io/accelerator-type": "H100"} * 2] ) ``` +## Using labels with autoascaler +Autoscaler V2 supports label-based scheduling. To enable autoscaler to scale up nodes to fulfill label requirements, you need to create multiple worker groups for different label requirement combinations and specify the all the corresponding labels in the `rayStartParams` field in the Ray cluster configuration. For example: + +```python + rayStartParams: { + labels: "region=me-central1,ray.io/accelerator-type=nvidia-h100" + } +``` + +In the future, Ray plans to support creating pods with default labels. This can help reduce the effort to create multiple worker groups and specifying the labels in the `rayStartParams`. Within a task, you can programmatically obtain the node label from the RuntimeContextAPI using `ray.get_runtime_context().get_node_labels()`. This returns a Python dict. - -You can also access information about node label and label selector information using the state API. +See the following examples: +```python +@ray.remote +def test_task_label(): + node_labels = ray.get_runtime_context().get_node_labels() + print(f"[test_task_label] node labels: {node_labels}") + +""" +Example output: +(test_task_label pid=68487) [test_task_label] node labels: {'test-label-1': 'test-value-1', 'test-label-key': 'test-label-value', 'test-label-2': 'test-value-2'} +""" +``` +You can also access information about node label and label selector information using the state API and state CLI. From 9866d46b90db86bb4687bb5c9ce097504e6cc7b7 Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Fri, 19 Sep 2025 16:13:12 -0400 Subject: [PATCH 1249/1566] small tweaks Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/labels.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index 2635c84db0d9..fdd0bfca8c46 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -123,7 +123,8 @@ ray.util.placement_group( bundle_label_selector=[{"ray.io/market-type": "spot"}] + [{"ray.io/accelerator-type": "H100"} * 2] ) ``` -## Using labels with autoascaler +## Using labels with autoscaler + Autoscaler V2 supports label-based scheduling. To enable autoscaler to scale up nodes to fulfill label requirements, you need to create multiple worker groups for different label requirement combinations and specify the all the corresponding labels in the `rayStartParams` field in the Ray cluster configuration. For example: ```python @@ -132,13 +133,9 @@ Autoscaler V2 supports label-based scheduling. To enable autoscaler to scale up } ``` -In the future, Ray plans to support creating pods with default labels. This can help reduce the effort to create multiple worker groups and specifying the labels in the `rayStartParams`. - - +In the future, Ray plans to support creating pods with default labels. This can help reduce the effort to create multiple worker groups and specifying the labels in the `rayStartParams`. --> ## Monitor nodes using labels From a763699ad6554050dbbfc2addd9735cfb81de96b Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Thu, 25 Sep 2025 15:04:07 -0400 Subject: [PATCH 1250/1566] Apply suggestions from code review Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/labels.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index fdd0bfca8c46..e8e9ceb10105 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -9,7 +9,11 @@ In Ray version 2.49.0 and above, you can use labels to control scheduling for Ku This page provides a conceptual overview and usage instructions for labels. Labels are key-value pairs that provide a human-readable configuration for users to control how Ray schedules tasks, actors, and placement group bundles to specific nodes. -.. note:: Ray labels share the same syntax and formatting restrictions as Kubernetes labels, but are conceptually distinct. See the [Kubernetes docs on labels and selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#syntax-and-character-set). + +```{note} +Ray labels share the same syntax and formatting restrictions as Kubernetes labels, but are conceptually distinct. See the [Kubernetes docs on labels and selectors](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#syntax-and-character-set). +``` + ## How do labels work? @@ -42,7 +46,7 @@ The following are examples of default labels: (custom)= ## Define custom labels -You can add custom labels to your nodes using the `--labels` or `--labels-file` parameter when running `ray start`. See the following examples: +You can add custom labels to your nodes using the `--labels` or `--labels-file` parameter when running `ray start`. @@ -70,7 +74,7 @@ The following table shows the basic syntax for label selector operator logic: You can specify one or more label selectors as a dict. When specifying multiple label selectors, the candidate node must meet all requirements. The following example configuration uses a custom label to require an `m5.16xlarge` EC2 instance and a default label to require node id to be 123: -```python +```{python} label_selector={"instance_type": "m5.16xlarge", “ray.io/node-id”: “123”} ``` From 6426f91ee314079e8994d3800a432e28fc9df713 Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Thu, 25 Sep 2025 15:08:07 -0400 Subject: [PATCH 1251/1566] updates Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/labels.md | 34 ++++++++++-------------- 1 file changed, 14 insertions(+), 20 deletions(-) diff --git a/doc/source/ray-core/scheduling/labels.md b/doc/source/ray-core/scheduling/labels.md index e8e9ceb10105..a8b61c6311ee 100644 --- a/doc/source/ray-core/scheduling/labels.md +++ b/doc/source/ray-core/scheduling/labels.md @@ -35,11 +35,13 @@ During cluster initilization or as autoscaling events add nodes to your cluster, | `ray.io/node-id` | A unique ID generated for the node. | | `ray.io/accelerator-type` | The accelerator type of the node, for example `L4`. CPU-only machines have an empty string. See {ref}`accelerator types ` for a mapping of values. | -.. note:: You can override default values using `ray start` parameters. +```{note} +You can override default values using `ray start` parameters. +``` The following are examples of default labels: -```python +```{python} "ray.io/accelerator-type": "" # Default label indicating the machine is CPU-only. ``` @@ -48,9 +50,9 @@ The following are examples of default labels: You can add custom labels to your nodes using the `--labels` or `--labels-file` parameter when running `ray start`. - - -.. note:: You can't set labels using `ray.init()`. Local Ray clusters don't support labels. +```{note} +You can't set labels using `ray.init()`. Local Ray clusters don't support labels. +``` (label-selectors)= ## Specify label selectors @@ -82,7 +84,7 @@ label_selector={"instance_type": "m5.16xlarge", “ray.io/node-id”: “123”} Use the following syntax to add label selectors to tasks and actors: -```python +```{python} # An example for specifing label_selector in task's @ray.remote annotation @ray.remote(label_selector={"label_name":"label_value"}) def f(): @@ -114,7 +116,7 @@ actor_1 = Actor.options( Use the `bundle_label_selector` option to add label selector to placement group bundles. See the following examples: -```python +```{python} # All bundles require the same labels: ray.util.placement_group( bundles=[{"GPU": 1}, {"GPU": 1}], @@ -131,27 +133,22 @@ ray.util.placement_group( Autoscaler V2 supports label-based scheduling. To enable autoscaler to scale up nodes to fulfill label requirements, you need to create multiple worker groups for different label requirement combinations and specify the all the corresponding labels in the `rayStartParams` field in the Ray cluster configuration. For example: -```python +```{python} rayStartParams: { labels: "region=me-central1,ray.io/accelerator-type=nvidia-h100" } ``` - - ## Monitor nodes using labels The Ray dashboard automatically shows the following information: -- Labels for each node. -- Label selectors set for each task, actor, or placement group bundle. - - +- Labels for each node. See {py:attr}`ray.util.state.common.NodeState.labels`. +- Label selectors set for each task, actor, or placement group bundle. See {py:attr}`ray.util.state.common.TaskState.label_selector` and {py:attr}`ray.util.state.common.ActorState.label_selector`. Within a task, you can programmatically obtain the node label from the RuntimeContextAPI using `ray.get_runtime_context().get_node_labels()`. This returns a Python dict. See the following examples: -```python + +```{python} @ray.remote def test_task_label(): node_labels = ray.get_runtime_context().get_node_labels() @@ -163,6 +160,3 @@ Example output: """ ``` You can also access information about node label and label selector information using the state API and state CLI. - - - From bec9d18ba8c6d02cf4dc215b39f88f7de61b9d7e Mon Sep 17 00:00:00 2001 From: Douglas Strodtman Date: Thu, 25 Sep 2025 15:10:53 -0400 Subject: [PATCH 1252/1566] fixing error per cursor Signed-off-by: Douglas Strodtman --- doc/source/ray-core/scheduling/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/ray-core/scheduling/index.rst b/doc/source/ray-core/scheduling/index.rst index 77eee6c31244..135d12e5738a 100644 --- a/doc/source/ray-core/scheduling/index.rst +++ b/doc/source/ray-core/scheduling/index.rst @@ -11,7 +11,7 @@ This page provides an overview of how Ray decides to schedule tasks and actors t Labels ------ -Labels provide a simplified solution for controlling scheduling for tasks, actors, and placement group bundles using default and custom labels. See :doc:`./labels.md`. +Labels provide a simplified solution for controlling scheduling for tasks, actors, and placement group bundles using default and custom labels. See :doc:`./labels`. Labels are currently offered as an alpha feature. As this feature becomes stable, the Ray team recommends using labels instead of the following patterns: From b07c7c0a561d382df4eb081dd3903676ddd04072 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Wed, 17 Sep 2025 11:14:27 -0700 Subject: [PATCH 1253/1566] [Data] Add documentation for `iter_torch_batches` `collate_fn` callable class (#56425) ## Why are these changes needed? ### [Data] Add documentation for `iter_torch_batches` `collate_fn` callable class In `iter_torch_batches` add documentation for `collate_fn` callable class, i.e. each of, - `ArrowBatchCollateFn` - `NumpyBatchCollateFn` - `PandasBatchCollateFn` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/data/iterator.py | 53 ++++++++++++++++++++++++++++++------- 1 file changed, 43 insertions(+), 10 deletions(-) diff --git a/python/ray/data/iterator.py b/python/ray/data/iterator.py index 7ed94eef077e..5c0177fa74e9 100644 --- a/python/ray/data/iterator.py +++ b/python/ray/data/iterator.py @@ -297,24 +297,57 @@ def iter_torch_batches( {'id': tensor([4, 5, 6, 7])} {'id': tensor([ 8, 9, 10, 11])} - Use the ``collate_fn`` to customize how the tensor batch is created. + Use the ``ArrowBatchCollateFn`` to customize how the tensor batch is created + from an Arrow batch. - >>> from typing import Any, Dict + >>> import pyarrow as pa >>> import torch + >>> import ray + >>> from ray.data.collate_fn import ArrowBatchCollateFn + >>> class CustomArrowBatchCollateFn(ArrowBatchCollateFn): + ... def __call__(self, batch: pa.Table) -> torch.Tensor: + ... return torch.as_tensor(batch["col_1"].to_numpy() + 5) + >>> iterator = ray.data.from_items([ + ... {"col_1": 1, "col_2": 2}, + ... {"col_1": 3, "col_2": 4}]).iterator() + >>> for batch in iterator.iter_torch_batches(collate_fn=CustomArrowBatchCollateFn()): + ... print(batch) + tensor([6, 8]) + + Use the ``NumpyBatchCollateFn`` to customize how the tensor batch is created + from a Numpy batch. + + >>> from typing import Dict >>> import numpy as np + >>> import torch + >>> import ray + >>> from ray.data.collate_fn import NumpyBatchCollateFn + >>> class CustomNumpyBatchCollateFn(NumpyBatchCollateFn): + ... def __call__(self, batch: Dict[str, np.ndarray]) -> torch.Tensor: + ... return torch.as_tensor(batch["col_1"] + 5) + >>> iterator = ray.data.from_items([ + ... {"col_1": 1, "col_2": 2}, + ... {"col_1": 3, "col_2": 4}]).iterator() + >>> for batch in iterator.iter_torch_batches(collate_fn=CustomNumpyBatchCollateFn()): + ... print(batch) + tensor([6, 8]) + + Use the ``PandasBatchCollateFn`` to customize how the tensor batch is created + from a Pandas batch. + + >>> import pandas as pd + >>> import torch >>> import ray - >>> def collate_fn(batch: Dict[str, np.ndarray]) -> Any: - ... return torch.stack( - ... [torch.as_tensor(array) for array in batch.values()], - ... axis=1 - ... ) + >>> from ray.data.collate_fn import PandasBatchCollateFn + >>> class CustomPandasBatchCollateFn(PandasBatchCollateFn): + ... def __call__(self, batch: pd.DataFrame) -> torch.Tensor: + ... return torch.as_tensor(batch["col_1"].to_numpy() + 5) >>> iterator = ray.data.from_items([ ... {"col_1": 1, "col_2": 2}, ... {"col_1": 3, "col_2": 4}]).iterator() - >>> for batch in iterator.iter_torch_batches(collate_fn=collate_fn): + >>> for batch in iterator.iter_torch_batches(collate_fn=CustomPandasBatchCollateFn()): ... print(batch) - tensor([[1, 2], - [3, 4]]) + tensor([6, 8]) Time complexity: O(1) From c1d117c9a20806a902851ff8711ca8570cf58a47 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 17 Sep 2025 14:36:16 -0700 Subject: [PATCH 1254/1566] [ci] rename `docker_login` to `ecr_docker_login` (#56622) it only supports logging in to ecr, not generic docker login Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/builder.py | 4 ++-- ci/ray_ci/test_utils.py | 6 +++--- ci/ray_ci/tester.py | 4 ++-- ci/ray_ci/utils.py | 4 ++-- 4 files changed, 9 insertions(+), 9 deletions(-) diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 7e74a4906b98..6353b4beafc2 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -13,7 +13,7 @@ from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.docker_container import PLATFORMS_RAY from ci.ray_ci.ray_docker_container import RayDockerContainer -from ci.ray_ci.utils import ci_init, docker_login, logger +from ci.ray_ci.utils import ci_init, ecr_docker_login, logger from ci.ray_ci.windows_builder_container import WindowsBuilderContainer @@ -84,7 +84,7 @@ def main( """ Build a wheel or jar artifact """ - docker_login(_DOCKER_ECR_REPO.split("/")[0]) + ecr_docker_login(_DOCKER_ECR_REPO.split("/")[0]) ci_init() if artifact_type == "wheel": logger.info(f"Building wheel for {python_version}") diff --git a/ci/ray_ci/test_utils.py b/ci/ray_ci/test_utils.py index cd946229612a..787f3f308bcd 100644 --- a/ci/ray_ci/test_utils.py +++ b/ci/ray_ci/test_utils.py @@ -9,7 +9,7 @@ from ci.ray_ci.utils import ( chunk_into_n, - docker_login, + ecr_docker_login, filter_tests, get_flaky_test_names, ) @@ -22,7 +22,7 @@ def test_chunk_into_n() -> None: @mock.patch("boto3.client") -def test_docker_login(mock_client) -> None: +def test_ecr_docker_login(mock_client) -> None: def _mock_subprocess_run( cmd: List[str], stdin=None, @@ -39,7 +39,7 @@ def _mock_subprocess_run( } with mock.patch("subprocess.run", side_effect=_mock_subprocess_run): - docker_login("docker_ecr") + ecr_docker_login("docker_ecr") def _make_test(name: str, state: str, team: str) -> Test: diff --git a/ci/ray_ci/tester.py b/ci/ray_ci/tester.py index 339c6aea5844..57c76ee9e08c 100644 --- a/ci/ray_ci/tester.py +++ b/ci/ray_ci/tester.py @@ -16,7 +16,7 @@ from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.linux_tester_container import LinuxTesterContainer from ci.ray_ci.tester_container import TesterContainer -from ci.ray_ci.utils import ci_init, docker_login +from ci.ray_ci.utils import ci_init, ecr_docker_login from ci.ray_ci.windows_tester_container import WindowsTesterContainer CUDA_COPYRIGHT = """ @@ -226,7 +226,7 @@ def main( raise Exception("Please use `bazelisk run //ci/ray_ci`") os.chdir(bazel_workspace_dir) ci_init() - docker_login(_DOCKER_ECR_REPO.split("/")[0]) + ecr_docker_login(_DOCKER_ECR_REPO.split("/")[0]) if build_type == "wheel" or build_type == "wheel-aarch64": # for wheel testing, we first build the wheel and then use it for running tests diff --git a/ci/ray_ci/utils.py b/ci/ray_ci/utils.py index 90b510fd5379..c9ab06a2c207 100644 --- a/ci/ray_ci/utils.py +++ b/ci/ray_ci/utils.py @@ -47,9 +47,9 @@ def shard_tests( return bazel_sharding.main(test_targets, index=shard_id, count=shard_count) -def docker_login(docker_ecr: str) -> None: +def ecr_docker_login(docker_ecr: str) -> None: """ - Login to docker with AWS credentials + Login to ECR with AWS credentials """ token = boto3.client("ecr", region_name="us-west-2").get_authorization_token() user, password = ( From 0c7032553749b44edca4fccfcc28eca0bb7c2165 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 17 Sep 2025 14:42:06 -0700 Subject: [PATCH 1255/1566] [train] Abort reconciliation thread catches ray.util.state.get_actor exception (#56600) `ray.util.get_actor` in the `TrainStateActor` sometimes raises `ray.util.state.exception.ServerUnavailable`, killing the abort reconciliation thread and causing subsequent train runs to not get marked aborted. This change catches those errors so the thread stays alive and tries to reconcile the train run on the next poll. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- .../train/v2/_internal/state/state_actor.py | 18 ++++++---- python/ray/train/v2/tests/test_state.py | 34 ++++++++++++++++++- 2 files changed, 45 insertions(+), 7 deletions(-) diff --git a/python/ray/train/v2/_internal/state/state_actor.py b/python/ray/train/v2/_internal/state/state_actor.py index 8657f977bdd3..1f3b38b77d1d 100644 --- a/python/ray/train/v2/_internal/state/state_actor.py +++ b/python/ray/train/v2/_internal/state/state_actor.py @@ -97,12 +97,18 @@ def _abort_live_runs_with_dead_controllers( last_poll_run_id = run.id if run.status.is_terminal(): continue - if not is_actor_alive( - run.controller_actor_id, self._get_actor_timeout_s - ): - update_train_run_aborted(run, False) - self.create_or_update_train_run(run) - aborted_run_ids.append(run.id) + try: + if not is_actor_alive( + run.controller_actor_id, self._get_actor_timeout_s + ): + update_train_run_aborted(run, False) + self.create_or_update_train_run(run) + aborted_run_ids.append(run.id) + except ray.util.state.exception.RayStateApiException: + logger.exception( + "State API unavailable when checking if actor is alive. " + "Will check again on next poll." + ) num_polled_runs += 1 # Abort run attempts. diff --git a/python/ray/train/v2/tests/test_state.py b/python/ray/train/v2/tests/test_state.py index c1fe23289db8..178125b823c2 100644 --- a/python/ray/train/v2/tests/test_state.py +++ b/python/ray/train/v2/tests/test_state.py @@ -1,5 +1,6 @@ +import time from collections import OrderedDict -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch import pytest @@ -366,6 +367,37 @@ def get_actor(actor_id: str, timeout: float): } +@patch("ray.train.v2._internal.state.util.get_actor", autospec=True) +def test_train_state_actor_abort_dead_controller_live_runs_server_unavailable( + mock_get_actor, +): + mock_get_actor.side_effect = ray.util.state.exception.ServerUnavailable + actor = TrainStateActor( + enable_state_actor_reconciliation=True, + reconciliation_interval_s=0, + ) + actor.create_or_update_train_run( + create_mock_train_run( + status=RunStatus.RUNNING, + controller_actor_id="controller_actor_id", + id="run_id", + ) + ) + + # Still RUNNING after ServerUnavailable + while mock_get_actor.call_count == 0: + time.sleep(0.01) + assert actor.get_train_runs()["run_id"].status == RunStatus.RUNNING + + # ABORTED after detecting dead controller + mock_get_actor.side_effect = lambda actor_id, timeout: create_mock_actor_state( + state="DEAD" + ) + while actor.get_train_runs()["run_id"].status != RunStatus.ABORTED: + time.sleep(0.01) + assert actor.get_train_runs()["run_id"].status == RunStatus.ABORTED + + def test_train_state_manager_run_lifecycle(ray_start_regular): """Test the complete lifecycle of a training run through the state manager.""" manager = TrainStateManager() From ddf2cd6d81484f83ffa2e595b9ffe307e82a03db Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Wed, 17 Sep 2025 20:00:39 -0700 Subject: [PATCH 1256/1566] [Train] Add PyTorch local mode support for multi-process training with torchrun (#56218) This PR extends the Ray Train v2 local mode support (from #55487) to enable users to launch multiple local mode processes using torchrun for PyTorch distributed training. **With this new feature, users can easily switch between torchrun and Ray Train without modifying their training code.** image ### Note Ray data on multiple processes is not supported. Might need to wait for https://github.com/ray-project/ray/pull/55114 or similar components. ## Key Changes ### Multi-Process Local Mode Support - **`LocalTorchController`**: New controller that detects torchrun env variables and sets contexts accordingly - **Torchrun Integration**: Users can now launch multiple local mode processes using `torchrun` command - **Environment Detection**: Automatically detects torchrun environment variables and initializes distributed training ## Usage Example ```python import os import tempfile import torch from torch.nn import CrossEntropyLoss from torch.optim import Adam from torch.utils.data import DataLoader from torchvision.models import resnet18 from torchvision.datasets import FashionMNIST from torchvision.transforms import ToTensor, Normalize, Compose import ray from ray.train import Checkpoint, CheckpointConfig, RunConfig, ScalingConfig from ray.train.torch import TorchTrainer from ray.train.v2.api.config import FailureConfig import ray.train.torch def train_func(): # Model, Loss, Optimizer model = resnet18(num_classes=10) model.conv1 = torch.nn.Conv2d( 1, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False ) # [1] Prepare model. model = ray.train.torch.prepare_model(model) criterion = CrossEntropyLoss() optimizer = Adam(model.parameters(), lr=0.001) # Data transform = Compose([ToTensor(), Normalize((0.28604,), (0.32025,))]) data_dir = os.path.join(tempfile.gettempdir(), "data") train_data = FashionMNIST(root=data_dir, train=True, download=True, transform=transform) train_loader = DataLoader(train_data, batch_size=128, shuffle=True) # [2] Prepare dataloader. train_loader = ray.train.torch.prepare_data_loader(train_loader) # Training for epoch in range(10): if ray.train.get_context().get_world_size() > 1: train_loader.sampler.set_epoch(epoch) for images, labels in train_loader: outputs = model(images) loss = criterion(outputs, labels) optimizer.zero_grad() loss.backward() optimizer.step() # [3] Report metrics and checkpoint. metrics = {"loss": loss.item(), "epoch": epoch} with tempfile.TemporaryDirectory() as temp_checkpoint_dir: torch.save( model.state_dict(), os.path.join(temp_checkpoint_dir, "model.pt") ) ray.train.report( metrics, checkpoint=ray.train.Checkpoint.from_directory(temp_checkpoint_dir), ) if ray.train.get_context().get_world_rank() == 0: print(metrics) # Configuration for local mode use_gpu = True scaling_config = ScalingConfig(num_workers=0, use_gpu=use_gpu) # Local mode run_config = RunConfig(checkpoint_config=CheckpointConfig(num_to_keep=1)) # Note: Ray Data not supported with multiple processes in local mode # For multi-process training, use PyTorch DataLoader as shown above # Initialize the Trainer trainer = TorchTrainer( train_loop_per_worker=train_func, scaling_config=scaling_config, run_config=run_config, ) # Train the model result = trainer.fit() ``` ### Running Options: ```bash # Option 1: Single process local mode RAY_TRAIN_V2_ENABLED=1 python test.py # Option 2: Multi-process local mode with torchrun RAY_TRAIN_V2_ENABLED=1 torchrun --standalone --nnodes=1 --nproc-per-node=4 test.py # Option 3: Switch to distributed Ray Train (change num_workers=4) # Same training code works across all modes! ``` --------- Signed-off-by: xgui Signed-off-by: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Co-authored-by: matthewdeng Signed-off-by: Douglas Strodtman --- .../execution/local_mode/__init__.py | 0 .../_internal/execution/local_mode/torch.py | 92 ++++++++++++++++++ .../utils.py} | 0 .../v2/_internal/execution/train_fn_utils.py | 10 ++ python/ray/train/v2/api/context.py | 21 +++-- .../ray/train/v2/api/data_parallel_trainer.py | 2 +- python/ray/train/v2/tests/test_local_mode.py | 94 ++++++++++++++++++- python/ray/train/v2/torch/torch_trainer.py | 7 ++ 8 files changed, 218 insertions(+), 8 deletions(-) create mode 100644 python/ray/train/v2/_internal/execution/local_mode/__init__.py create mode 100644 python/ray/train/v2/_internal/execution/local_mode/torch.py rename python/ray/train/v2/_internal/execution/{local_mode_utils.py => local_mode/utils.py} (100%) diff --git a/python/ray/train/v2/_internal/execution/local_mode/__init__.py b/python/ray/train/v2/_internal/execution/local_mode/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/python/ray/train/v2/_internal/execution/local_mode/torch.py b/python/ray/train/v2/_internal/execution/local_mode/torch.py new file mode 100644 index 000000000000..3a2b5a0689c9 --- /dev/null +++ b/python/ray/train/v2/_internal/execution/local_mode/torch.py @@ -0,0 +1,92 @@ +import logging +import os +from typing import Callable + +import torch +import torch.distributed as dist + +from ray.train import Result +from ray.train.v2._internal.execution.local_mode.utils import LocalController +from ray.train.v2._internal.execution.train_fn_utils import ( + LocalTrainFnUtils, + get_train_fn_utils, + set_train_fn_utils, +) + +logger = logging.getLogger(__name__) + + +def has_torchrun_env() -> bool: + """Return True if this process has torch.distributed env vars set. + + For torch.distributed.init_process_group with init_method="env://", these variables are required: + - RANK: The rank of the current process + - LOCAL_RANK: The local rank of the current process + - WORLD_SIZE: Total number of processes participating in the job + - LOCAL_WORLD_SIZE: Total number of processes participating in the job on the current node + - MASTER_ADDR: The IP address or hostname of the master node (rank 0) + - MASTER_PORT: A free port on the master node for communication + + """ + torch_dist_required_vars = { + "RANK", + "LOCAL_RANK", + "WORLD_SIZE", + "LOCAL_WORLD_SIZE", + "MASTER_ADDR", + "MASTER_PORT", + } + + return torch_dist_required_vars.issubset(os.environ.keys()) + + +class LocalTorchController(LocalController): + def _set_train_fn_utils(self) -> None: + world_size = 1 + global_rank = 0 + local_rank = 0 + nproc_per_node = 1 + node_rank = 0 + if has_torchrun_env(): + assert not dist.is_initialized(), "torch.distributed is already initialized" + torch.distributed.init_process_group( + backend="nccl" if torch.cuda.is_available() else "gloo" + ) + world_size = torch.distributed.get_world_size() + global_rank = torch.distributed.get_rank() + local_rank = int(os.environ["LOCAL_RANK"]) + if torch.cuda.is_available(): + torch.cuda.set_device(local_rank) + nproc_per_node = int(os.environ.get("LOCAL_WORLD_SIZE")) + node_rank = global_rank // nproc_per_node + + if world_size != 1: + assert ( + self.datasets is None or len(self.datasets) == 0 + ), "Ray Data is not supported in local mode with multiple workers." + set_train_fn_utils( + LocalTrainFnUtils( + experiment_name=self.experiment_name, + world_size=world_size, + world_rank=global_rank, + local_rank=local_rank, + local_world_size=nproc_per_node, + node_rank=node_rank, + dataset_shards=self.datasets, + ) + ) + + def run(self, train_func: Callable[[], None]) -> Result: + self._set_train_fn_utils() + train_func() + train_fn_utils = get_train_fn_utils() + assert isinstance(train_fn_utils, LocalTrainFnUtils) + result = Result( + metrics=train_fn_utils._get_last_metrics(), + checkpoint=train_fn_utils.get_checkpoint(), + path=None, + error=None, + ) + if dist.is_initialized(): + dist.destroy_process_group() + return result diff --git a/python/ray/train/v2/_internal/execution/local_mode_utils.py b/python/ray/train/v2/_internal/execution/local_mode/utils.py similarity index 100% rename from python/ray/train/v2/_internal/execution/local_mode_utils.py rename to python/ray/train/v2/_internal/execution/local_mode/utils.py diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 932bc69dd973..9b4acadee929 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -166,9 +166,19 @@ def __init__( self, experiment_name: str, dataset_shards: Optional[Dict[str, DataIterator]] = None, + world_size: int = 1, + world_rank: int = 0, + local_rank: int = 0, + local_world_size: int = 1, + node_rank: int = 0, ): self._context = LocalTrainContext( experiment_name=experiment_name, + world_size=world_size, + world_rank=world_rank, + local_rank=local_rank, + local_world_size=local_world_size, + node_rank=node_rank, ) self._dataset_shards = dataset_shards self._last_metrics = None diff --git a/python/ray/train/v2/api/context.py b/python/ray/train/v2/api/context.py index 6d8896a1364a..f1a0902f6119 100644 --- a/python/ray/train/v2/api/context.py +++ b/python/ray/train/v2/api/context.py @@ -253,27 +253,36 @@ class LocalTrainContext(TrainContext): def __init__( self, experiment_name: str, + world_size: int = 1, + world_rank: int = 0, + local_rank: int = 0, + local_world_size: int = 1, + node_rank: int = 0, ): self.experiment_name = experiment_name + self.world_size = world_size + self.world_rank = world_rank + self.local_rank = local_rank + self.local_world_size = local_world_size + self.node_rank = node_rank def get_experiment_name(self) -> str: return self.experiment_name def get_world_size(self) -> int: - return 1 + return self.world_size def get_world_rank(self) -> int: - return 0 + return self.world_rank def get_local_rank(self) -> int: - return 0 + return self.local_rank def get_local_world_size(self) -> int: - return 1 + return self.local_world_size def get_node_rank(self) -> int: - """For local mode, we only use one node.""" - return 0 + return self.node_rank def get_storage(self): raise NotImplementedError("Local storage context not yet implemented. ") diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index b9f607f3422b..1ac6c0223945 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -46,7 +46,7 @@ from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.controller import TrainController from ray.train.v2._internal.execution.failure_handling import create_failure_policy -from ray.train.v2._internal.execution.local_mode_utils import LocalController +from ray.train.v2._internal.execution.local_mode.utils import LocalController from ray.train.v2._internal.execution.scaling_policy import create_scaling_policy from ray.train.v2._internal.util import ObjectRefWrapper, construct_train_func from ray.train.v2.api.callback import UserCallback diff --git a/python/ray/train/v2/tests/test_local_mode.py b/python/ray/train/v2/tests/test_local_mode.py index 9b22a8e6daef..0b6ae7dbb5ba 100644 --- a/python/ray/train/v2/tests/test_local_mode.py +++ b/python/ray/train/v2/tests/test_local_mode.py @@ -1,6 +1,7 @@ import math +import os import sys -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch import lightgbm import pandas as pd @@ -38,6 +39,8 @@ from ray.train.tests.lightning_test_utils import DummyDataModule, LinearModule from ray.train.tests.util import create_dict_checkpoint from ray.train.torch import TorchTrainer +from ray.train.v2._internal.execution.local_mode.torch import LocalTorchController +from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer from ray.train.v2.jax import JaxTrainer from ray.train.xgboost import ( @@ -522,5 +525,94 @@ def xgboost_train_fn_per_worker(): XGBoostTrainer.get_model(result.checkpoint) +def test_torch_distributed_variables_local_train_fn_utils(): + """Test that torch distributed variables are correctly used to create LocalTrainFnUtils.""" + + # Test scenario 1: Without torch distributed environment variables + with patch.dict(os.environ, {}, clear=True): + controller = LocalTorchController("test_experiment") + + def dummy_train_func(): + train_fn_utils = get_train_fn_utils() + # Verify default values when no torch distributed env vars are set + context = train_fn_utils.get_context() + assert context.get_world_size() == 1 + assert context.get_world_rank() == 0 + assert context.get_local_rank() == 0 + assert context.get_local_world_size() == 1 + assert context.get_node_rank() == 0 + + controller.run(dummy_train_func) + + # Test scenario 2: With torch distributed environment variables (CPU) + torch_env_vars = { + "RANK": "2", + "LOCAL_RANK": "1", + "WORLD_SIZE": "4", + "LOCAL_WORLD_SIZE": "2", + "MASTER_ADDR": "127.0.0.1", + "MASTER_PORT": "29500", + } + + with patch.dict(os.environ, torch_env_vars, clear=True), patch( + "torch.distributed.is_initialized", return_value=False + ), patch("torch.distributed.get_world_size", return_value=4), patch( + "torch.distributed.get_rank", return_value=2 + ), patch( + "torch.cuda.is_available", return_value=False + ), patch( + "torch.distributed.init_process_group" + ) as mock_init_pg: + + controller = LocalTorchController("test_experiment") + + def dummy_train_func(): + train_fn_utils = get_train_fn_utils() + # Verify torch distributed values are correctly passed + context = train_fn_utils.get_context() + assert context.get_world_size() == 4 + assert context.get_world_rank() == 2 + assert context.get_local_rank() == 1 + assert context.get_local_world_size() == 2 + assert ( + context.get_node_rank() == 1 + ) # global_rank // nproc_per_node = 2 // 2 = 1 + + controller.run(dummy_train_func) + + # Verify torch.distributed methods were called with CPU backend + mock_init_pg.assert_called_once_with(backend="gloo") + + # Test scenario 3: With torch distributed environment variables (GPU) + with patch.dict(os.environ, torch_env_vars, clear=True), patch( + "torch.distributed.is_initialized", return_value=False + ), patch("torch.distributed.get_world_size", return_value=4), patch( + "torch.distributed.get_rank", return_value=2 + ), patch( + "torch.cuda.is_available", return_value=True + ), patch( + "torch.distributed.init_process_group" + ) as mock_init_pg, patch( + "torch.cuda.set_device" + ) as mock_set_device: + + controller = LocalTorchController("test_experiment") + + def dummy_train_func(): + train_fn_utils = get_train_fn_utils() + # Verify torch distributed values are correctly passed + context = train_fn_utils.get_context() + assert context.get_world_size() == 4 + assert context.get_world_rank() == 2 + assert context.get_local_rank() == 1 + assert context.get_local_world_size() == 2 + assert context.get_node_rank() == 1 + + controller.run(dummy_train_func) + + mock_init_pg.assert_called_once_with(backend="nccl") + mock_set_device.assert_called_once_with(1) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/train/v2/torch/torch_trainer.py b/python/ray/train/v2/torch/torch_trainer.py index a3bc1a7e9a8b..d8c9610171ae 100644 --- a/python/ray/train/v2/torch/torch_trainer.py +++ b/python/ray/train/v2/torch/torch_trainer.py @@ -2,6 +2,7 @@ from ray.train import Checkpoint, DataConfig from ray.train.trainer import GenDataset +from ray.train.v2._internal.execution.local_mode.torch import LocalTorchController from ray.train.v2.api.config import RunConfig, ScalingConfig from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer from ray.util import PublicAPI @@ -213,3 +214,9 @@ def __init__( resume_from_checkpoint=resume_from_checkpoint, metadata=metadata, ) + + def _get_local_controller(self) -> LocalTorchController: + return LocalTorchController( + experiment_name=self.run_config.name, + datasets=self.datasets, + ) From 4435477178f37e2e26b42b479ad317727aba019d Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 17 Sep 2025 20:09:11 -0700 Subject: [PATCH 1257/1566] [core][ci] Fix install cpp api for java tests (#56592) Signed-off-by: dayshah Signed-off-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- .buildkite/others.rayci.yml | 3 ++- ci/ray_ci/linux_container.py | 3 +++ ci/ray_ci/tester.py | 2 ++ ci/ray_ci/tests.env.Dockerfile | 6 +++--- src/ray/core_worker/actor_manager.h | 1 - 5 files changed, 10 insertions(+), 5 deletions(-) diff --git a/.buildkite/others.rayci.yml b/.buildkite/others.rayci.yml index 08fbf7944b8b..ec39ebe096ce 100644 --- a/.buildkite/others.rayci.yml +++ b/.buildkite/others.rayci.yml @@ -25,7 +25,8 @@ steps: tags: java instance_type: medium commands: - - bazel run //ci/ray_ci:test_in_docker -- //... core --build-only + # Java tests need the C++ API for multi-langauge worker tests. + - bazel run //ci/ray_ci:test_in_docker -- //... core --build-type with-cpp --build-only - docker run -i --rm --volume /tmp/artifacts:/artifact-mount --shm-size=2.5gb "$${RAYCI_WORK_REPO}":"$${RAYCI_BUILD_ID}"-corebuild /bin/bash -iecuo pipefail "./java/test.sh" diff --git a/ci/ray_ci/linux_container.py b/ci/ray_ci/linux_container.py index 44c6d1971d2d..682b7c75e006 100644 --- a/ci/ray_ci/linux_container.py +++ b/ci/ray_ci/linux_container.py @@ -52,6 +52,9 @@ def install_ray( ] if mask: build_cmd += ["--build-arg", "RAY_INSTALL_MASK=" + mask] + if build_type == "with-cpp": + # Only set for Java tests because there's multi-language worker tests. + build_cmd += ["--build-arg", "RAY_DISABLE_EXTRA_CPP=0"] build_cmd += [ "-f", "/ray/ci/ray_ci/tests.env.Dockerfile", diff --git a/ci/ray_ci/tester.py b/ci/ray_ci/tester.py index 57c76ee9e08c..add2a2fd3bf5 100644 --- a/ci/ray_ci/tester.py +++ b/ci/ray_ci/tester.py @@ -162,6 +162,8 @@ "cgroup", # java build types "java", + # with cpp api + "with-cpp", # do not build ray "skip", ] diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 682ba5242a6c..b46849fadd10 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -5,13 +5,14 @@ FROM "$BASE_IMAGE" ARG BUILD_TYPE ARG BUILDKITE_CACHE_READONLY +ARG RAY_DISABLE_EXTRA_CPP=1 ARG RAY_INSTALL_MASK= ENV CC=clang ENV CXX=clang++-12 # Disabling C++ API build to speed up CI # Only needed for java tests where we override this. -ENV RAY_DISABLE_EXTRA_CPP=1 +ENV RAY_DISABLE_EXTRA_CPP=${RAY_DISABLE_EXTRA_CPP} RUN mkdir /rayci WORKDIR /rayci @@ -70,8 +71,7 @@ elif [[ "$BUILD_TYPE" == "asan" ]]; then bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux - # Java tests need the C++ API for multi-langauge worker tests. - RAY_DISABLE_EXTRA_CPP=0 RAY_INSTALL_JAVA=1 pip install -v -e python/ + RAY_INSTALL_JAVA=1 pip install -v -e python/ else pip install -v -e python/ fi diff --git a/src/ray/core_worker/actor_manager.h b/src/ray/core_worker/actor_manager.h index ee9eaf798563..c14ec04f8f89 100644 --- a/src/ray/core_worker/actor_manager.h +++ b/src/ray/core_worker/actor_manager.h @@ -191,7 +191,6 @@ class ActorManager { /// Check if actor is valid. bool IsActorKilledOrOutOfScope(const ActorID &actor_id) const; - /// GCS client. std::shared_ptr gcs_client_; /// Interface to submit tasks directly to other actors. From c8b1f91e731faa97b5317c85b03a21a064c708f3 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 17 Sep 2025 21:15:11 -0700 Subject: [PATCH 1258/1566] [image] add support for building and publishing ray-extra images (#56543) for use on building anyscale nightly images. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 28 +++++++++++++++++++++++++- ci/ray_ci/builder.py | 2 +- ci/ray_ci/docker_container.py | 18 ++++++++++++----- ci/ray_ci/ray_docker_container.py | 15 +++++++++++--- ci/ray_ci/test_ray_docker_container.py | 25 +++++++++++++++++++++++ 5 files changed, 78 insertions(+), 10 deletions(-) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 01256a3b63c8..85b05020516d 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -70,6 +70,32 @@ steps: - "3.11" - "3.12" + - label: ":tapioca: build: ray-extra py{{matrix}} docker (x86_64)" + key: ray_extra_images + tags: + - python_dependencies + - docker + - oss + instance_type: medium + commands: + - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} + --platform cu11.7.1-cudnn8 --platform cu11.8.0-cudnn8 + --platform cu12.1.1-cudnn8 --platform cu12.3.2-cudnn9 + --platform cu12.4.1-cudnn --platform cu12.5.1-cudnn + --platform cu12.6.3-cudnn --platform cu12.8.1-cudnn + --platform cpu + --image-type ray-extra --upload + depends_on: + - manylinux + - forge + - raycpubaseextra + - raycudabaseextra + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + - label: ":tapioca: build: ray-llm py{{matrix}} docker (x86_64)" tags: - python_dependencies @@ -99,8 +125,8 @@ steps: depends_on: - manylinux - forge - - ray-mlcudabase - ray-mlcpubase + - ray-mlcudabase matrix: - "3.9" - "3.10" diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 6353b4beafc2..03eabc4f5757 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -26,7 +26,7 @@ @click.option( "--image-type", default="ray", - type=click.Choice(["ray", "ray-llm", "ray-ml"]), + type=click.Choice(["ray", "ray-extra", "ray-llm", "ray-ml"]), ) @click.option( "--build-type", diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 9f739466d679..2f81a44f9694 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -34,6 +34,7 @@ class RayType(str, Enum): RAY = "ray" + RAY_EXTRA = "ray-extra" RAY_ML = "ray-ml" RAY_LLM = "ray-llm" @@ -63,6 +64,7 @@ def __init__( assert platform in PLATFORMS_RAY_LLM assert architecture in ARCHITECTURES_RAY_LLM else: + # ray or ray-extra assert python_version in PYTHON_VERSIONS_RAY assert platform in PLATFORMS_RAY assert architecture in ARCHITECTURES_RAY @@ -148,7 +150,10 @@ def _get_image_tags(self, external: bool = False) -> List[str]: versions = self._get_image_version_tags(external) platforms = [self._get_platform_tag()] - if self.platform == "cpu" and self.image_type == RayType.RAY: + if self.platform == "cpu" and self.image_type in [ + RayType.RAY, + RayType.RAY_EXTRA, + ]: # no tag is alias to cpu for ray image platforms.append("") elif self.platform == GPU_PLATFORM: @@ -162,13 +167,16 @@ def _get_image_tags(self, external: bool = False) -> List[str]: if self.python_version == DEFAULT_PYTHON_VERSION: py_versions.append("") + variation = "" + if self.image_type == RayType.RAY_EXTRA: + variation = "-extra" + tags = [] for version in versions: for platform in platforms: for py_version in py_versions: - if self.architecture == DEFAULT_ARCHITECTURE: - tag = f"{version}{py_version}{platform}" - else: - tag = f"{version}{py_version}{platform}-{self.architecture}" + tag = f"{version}{variation}{py_version}{platform}" + if self.architecture != DEFAULT_ARCHITECTURE: + tag += f"-{self.architecture}" tags.append(tag) return tags diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index b3f9e1758bb6..e9c5d889a35b 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -5,7 +5,7 @@ from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, PYTHON_VERSIONS from ci.ray_ci.container import _DOCKER_ECR_REPO -from ci.ray_ci.docker_container import DockerContainer +from ci.ray_ci.docker_container import DockerContainer, RayType from ci.ray_ci.utils import RAY_VERSION, docker_pull @@ -21,7 +21,10 @@ def run(self, base: Optional[str] = None) -> None: assert "RAYCI_BUILD_ID" in os.environ, "RAYCI_BUILD_ID not set" rayci_build_id = os.environ["RAYCI_BUILD_ID"] if base is None: - base = "base" + if self.image_type == RayType.RAY_EXTRA: + base = "base-extra" + else: + base = "base" if self.architecture == DEFAULT_ARCHITECTURE: suffix = base @@ -29,6 +32,9 @@ def run(self, base: Optional[str] = None) -> None: suffix = f"{base}-{self.architecture}" image_repo = self.image_type + if image_repo == RayType.RAY_EXTRA: + # Ray extra is a variation of ray, but with a different base suffix. + image_repo = RayType.RAY base_image = ( f"{_DOCKER_ECR_REPO}:{rayci_build_id}" @@ -77,6 +83,9 @@ def _should_upload(self) -> bool: ) def _get_image_names(self) -> List[str]: - ray_repo = f"rayproject/{self.image_type}" + repo_name = self.image_type + if self.image_type == RayType.RAY_EXTRA: + repo_name = RayType.RAY + ray_repo = f"rayproject/{repo_name}" return [f"{ray_repo}:{tag}" for tag in self._get_image_tags(external=True)] diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index 767bfbdd228e..ba027d8ba837 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -341,6 +341,31 @@ def test_get_image_name(self) -> None: "rayproject/ray:nightly", ] + container = RayDockerContainer(v, "cpu", "ray-extra") + with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "daytime"}): + assert container._get_image_names() == [ + f"rayproject/ray:{sha}-extra-{pv}-cpu", + f"rayproject/ray:{sha}-extra-cpu", + f"rayproject/ray:{sha}-extra-{pv}", + f"rayproject/ray:{sha}-extra", + f"rayproject/ray:{rayci_build_id}-extra-{pv}-cpu", + f"rayproject/ray:{rayci_build_id}-extra-cpu", + f"rayproject/ray:{rayci_build_id}-extra-{pv}", + f"rayproject/ray:{rayci_build_id}-extra", + ] + + with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): + assert container._get_image_names() == [ + f"rayproject/ray:nightly.{formatted_date}.{sha}-extra-{pv}-cpu", + f"rayproject/ray:nightly.{formatted_date}.{sha}-extra-cpu", + f"rayproject/ray:nightly.{formatted_date}.{sha}-extra-{pv}", + f"rayproject/ray:nightly.{formatted_date}.{sha}-extra", + f"rayproject/ray:nightly-extra-{pv}-cpu", + "rayproject/ray:nightly-extra-cpu", + f"rayproject/ray:nightly-extra-{pv}", + "rayproject/ray:nightly-extra", + ] + v = "3.11" pv = self.get_python_version(v) container = RayDockerContainer(v, "cu12.8.1-cudnn", "ray-llm") From a01f689fea0563e2305e461e91f9c8b71042cea4 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 17 Sep 2025 21:26:21 -0700 Subject: [PATCH 1259/1566] [core] Disable GcsNodeManager:TestRayEventRecorder (#56659) Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/gcs/tests/gcs_node_manager_test.cc | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index f6491df0dc8c..77931df33d69 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -52,7 +52,9 @@ class GcsNodeManagerTest : public ::testing::Test { std::unique_ptr fake_ray_event_recorder_; }; -TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { +// TODO(https://github.com/ray-project/ray/pull/56631): Re-enable +// TestRayEventNodeEvents. It was temporarily disabled to unblock CI. +TEST_F(GcsNodeManagerTest, DISABLED_TestRayEventNodeEvents) { RayConfig::instance().initialize( R"( { From 7fe75ff489cf2d428b54fa41053cadf7a7a48937 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 17 Sep 2025 22:06:37 -0700 Subject: [PATCH 1260/1566] [core][otel] (yet another) clean up gauge metric cache (#56502) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit https://github.com/ray-project/ray/pull/56405 clears the gauge metric cache at export time, which is necessary for both correctness and improved memory usage. This PR extends the same behavior to the C++ side, further reducing memory consumption. When running the [test_map.py](https://github.com/ray-project/ray/blob/master/python/ray/data/tests/test_map.py) locally, I observed that memory usage exceeded a gigabyte without this change, compared to only a few hundred megabytes with it. This happens because data workloads often reuse the same worker ID for different dataset operators, and each operator emits distinct metric labels. Since the existing logic clears the label cache only by worker ID (and not by other identifiers such as operator ID), the tag set can grow unnecessarily large, as many operator name/ID labels may accumulate over a worker’s lifecycle even when the operator lifecycle has ended). Many of our unit tests currently assume that stale data persists for a while, since they validate time series or sliding windows of metrics. To align with the new behavior, I also need to refactor these tests so they continuously emit time series data over the lifetime of the test, rather than relying on one-off data points. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 65 ++++++++- python/ray/tests/BUILD.bazel | 1 + python/ray/tests/test_metric_cardinality.py | 7 +- python/ray/tests/test_metrics_agent.py | 81 +++++++---- python/ray/tests/test_task_metrics.py | 137 +++++++++++------- .../tests/test_task_metrics_reconstruction.py | 8 +- .../open_telemetry_metric_recorder.cc | 1 + src/ray/stats/stats.h | 5 +- 8 files changed, 212 insertions(+), 93 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index dc33017aea0d..cdbb7424404e 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -17,7 +17,7 @@ import uuid from collections import defaultdict from contextlib import contextmanager, redirect_stderr, redirect_stdout -from dataclasses import dataclass +from dataclasses import dataclass, field from datetime import datetime from typing import Any, Callable, Dict, List, Optional, Set, Tuple @@ -59,9 +59,10 @@ ) try: + from prometheus_client.core import Metric from prometheus_client.parser import Sample, text_string_to_metric_families except (ImportError, ModuleNotFoundError): - + Metric = None Sample = None def text_string_to_metric_families(*args, **kwargs): @@ -978,6 +979,45 @@ def fetch_prometheus(prom_addresses): return components_dict, metric_descriptors, metric_samples +@dataclass +class PrometheusTimeseries: + """A collection of timeseries from multiple addresses. Each timeseries is a + collection of samples with the same metric name and labels. Concretely: + - components_dict: a dictionary of addresses to the Component labels + - metric_descriptors: a dictionary of metric names to the Metric object + - metric_samples: the latest value of each label + """ + + components_dict: Dict[str, Set[str]] = field(default_factory=defaultdict) + metric_descriptors: Dict[str, Metric] = field(default_factory=defaultdict) + metric_samples: Dict[frozenset, Sample] = field(default_factory=defaultdict) + + def flush(self): + self.components_dict.clear() + self.metric_descriptors.clear() + self.metric_samples.clear() + + +def fetch_prometheus_timeseries( + prom_addreses: List[str], + result: PrometheusTimeseries, +) -> PrometheusTimeseries: + components_dict, metric_descriptors, metric_samples = fetch_prometheus( + prom_addreses + ) + for address, components in components_dict.items(): + if address not in result.components_dict: + result.components_dict[address] = set() + result.components_dict[address].update(components) + result.metric_descriptors.update(metric_descriptors) + for sample in metric_samples: + # udpate sample to the latest value + result.metric_samples[ + frozenset(list(sample.labels.items()) + [("_metric_name_", sample.name)]) + ] = sample + return result + + def fetch_prometheus_metrics(prom_addresses: List[str]) -> Dict[str, List[Any]]: """Return prometheus metrics from the given addresses. @@ -994,6 +1034,18 @@ def fetch_prometheus_metrics(prom_addresses: List[str]) -> Dict[str, List[Any]]: return samples_by_name +def fetch_prometheus_metric_timeseries( + prom_addresses: List[str], result: PrometheusTimeseries +) -> Dict[str, List[Any]]: + samples = fetch_prometheus_timeseries( + prom_addresses, result + ).metric_samples.values() + samples_by_name = defaultdict(list) + for sample in samples: + samples_by_name[sample.name].append(sample) + return samples_by_name + + def raw_metrics(info: RayContext) -> Dict[str, List[Any]]: """Return prometheus metrics from a RayContext @@ -1008,6 +1060,15 @@ def raw_metrics(info: RayContext) -> Dict[str, List[Any]]: return fetch_prometheus_metrics([metrics_page]) +def raw_metric_timeseries( + info: RayContext, result: PrometheusTimeseries +) -> Dict[str, List[Any]]: + """Return prometheus timeseries from a RayContext""" + metrics_page = "localhost:{}".format(info.address_info["metrics_export_port"]) + print("Fetch metrics from", metrics_page) + return fetch_prometheus_metric_timeseries([metrics_page], result) + + def get_test_config_path(config_file_name): """Resolve the test config path from the config file dir""" here = os.path.realpath(__file__) diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 84223cc9167a..376cc5473e7a 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -88,6 +88,7 @@ py_test_module_list( files = [ "test_metric_cardinality.py", "test_metrics_agent.py", + "test_task_metrics.py", ], name_suffix = "_otel", tags = [ diff --git a/python/ray/tests/test_metric_cardinality.py b/python/ray/tests/test_metric_cardinality.py index e44b37b3e3f0..450345e76fcc 100644 --- a/python/ray/tests/test_metric_cardinality.py +++ b/python/ray/tests/test_metric_cardinality.py @@ -8,7 +8,8 @@ import ray from ray._private.test_utils import ( - fetch_prometheus_metrics, + PrometheusTimeseries, + fetch_prometheus_metric_timeseries, wait_for_assertion, ) from ray._common.network_utils import build_address @@ -37,6 +38,7 @@ def _setup_cluster_for_test(request, ray_start_cluster): cluster = ray_start_cluster cluster.add_node( _system_config={ + "metrics_report_interval_ms": 1000, "enable_metrics_collection": True, "metric_cardinality_level": core_metric_cardinality_level, "enable_open_telemetry": os.getenv("RAY_enable_open_telemetry") == "1", @@ -83,7 +85,8 @@ def _cardinality_level_test(_setup_cluster_for_test, cardinality_level, metric): prom_addresses = _setup_cluster_for_test def _validate(): - metric_samples = fetch_prometheus_metrics(prom_addresses) + timeseries = PrometheusTimeseries() + metric_samples = fetch_prometheus_metric_timeseries(prom_addresses, timeseries) samples = metric_samples.get(metric) assert samples, f"Metric {metric} not found in samples" for sample in samples: diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 21907971c3bc..442d03d37379 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -24,11 +24,12 @@ ) from ray._private.ray_constants import PROMETHEUS_SERVICE_DISCOVERY_FILE from ray._private.test_utils import ( - fetch_prometheus, - fetch_prometheus_metrics, + PrometheusTimeseries, + fetch_prometheus_metric_timeseries, + fetch_prometheus_timeseries, find_free_port, get_log_batch, - raw_metrics, + raw_metric_timeseries, ) from ray.autoscaler._private.constants import AUTOSCALER_METRIC_PORT from ray.core.generated.common_pb2 import TaskAttempt @@ -272,10 +273,6 @@ async def ping(self): @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") -@pytest.mark.skipif( - os.environ.get("RAY_enable_open_telemetry") == "1" and sys.platform == "darwin", - reason="OpenTelemetry is not working on macOS yet.", -) @pytest.mark.parametrize("_setup_cluster_for_test", [True], indirect=True) def test_metrics_export_end_to_end(_setup_cluster_for_test): TEST_TIMEOUT_S = 30 @@ -284,12 +281,17 @@ def test_metrics_export_end_to_end(_setup_cluster_for_test): autoscaler_export_addr, dashboard_export_addr, ) = _setup_cluster_for_test + ray_timeseries = PrometheusTimeseries() + autoscaler_timeseries = PrometheusTimeseries() + dashboard_timeseries = PrometheusTimeseries() def test_cases(): - components_dict, metric_descriptors, metric_samples = fetch_prometheus( - prom_addresses - ) + fetch_prometheus_timeseries(prom_addresses, ray_timeseries) + components_dict = ray_timeseries.components_dict + metric_descriptors = ray_timeseries.metric_descriptors + metric_samples = ray_timeseries.metric_samples.values() metric_names = metric_descriptors.keys() + session_name = ray._private.worker.global_worker.node.session_name # Raylet should be on every node @@ -371,9 +373,9 @@ def test_cases(): assert grpc_sample.labels["Component"] != "core_worker" # Autoscaler metrics - (_, autoscaler_metric_descriptors, autoscaler_samples,) = fetch_prometheus( - [autoscaler_export_addr] - ) # noqa + fetch_prometheus_timeseries([autoscaler_export_addr], autoscaler_timeseries) + autoscaler_metric_descriptors = autoscaler_timeseries.metric_descriptors + autoscaler_samples = autoscaler_timeseries.metric_samples.values() autoscaler_metric_names = autoscaler_metric_descriptors.keys() for metric in _AUTOSCALER_METRICS: # Metric name should appear with some suffix (_count, _total, @@ -385,7 +387,8 @@ def test_cases(): assert sample.labels["SessionName"] == session_name # Dashboard metrics - _, dashboard_metric_descriptors, _ = fetch_prometheus([dashboard_export_addr]) + fetch_prometheus_timeseries([dashboard_export_addr], dashboard_timeseries) + dashboard_metric_descriptors = dashboard_timeseries.metric_descriptors dashboard_metric_names = dashboard_metric_descriptors.keys() for metric in _DASHBOARD_METRICS: # Metric name should appear with some suffix (_count, _total, @@ -408,7 +411,7 @@ def wrap_test_case_for_retry(): retry_interval_ms=1000, # Yield resource for other processes ) except RuntimeError: - print(f"The components are {pformat(fetch_prometheus(prom_addresses))}") + # print(f"The components are {pformat(ray_timeseries)}") test_cases() # Should fail assert @@ -420,9 +423,11 @@ def test_metrics_export_node_metrics(shutdown_only): dashboard_export_addr = build_address( addr["node_ip_address"], DASHBOARD_METRIC_PORT ) + node_timeseries = PrometheusTimeseries() + dashboard_timeseries = PrometheusTimeseries() def verify_node_metrics(): - avail_metrics = raw_metrics(addr) + avail_metrics = raw_metric_timeseries(addr, node_timeseries) components = set() for metric in _NODE_COMPONENT_METRICS: @@ -440,7 +445,9 @@ def verify_node_metrics(): return True def verify_dashboard_metrics(): - avail_metrics = fetch_prometheus_metrics([dashboard_export_addr]) + avail_metrics = fetch_prometheus_metric_timeseries( + [dashboard_export_addr], dashboard_timeseries + ) # Run list nodes to trigger dashboard API. list_nodes() @@ -499,9 +506,11 @@ def test_metrics_export_event_aggregator_agent( metrics_export_port = cluster.head_node.metrics_export_port addr = cluster.head_node.node_ip_address prom_addresses = [build_address(addr, metrics_export_port)] + timeseries = PrometheusTimeseries() def test_case_stats_exist(): - _, metric_descriptors, _ = fetch_prometheus(prom_addresses) + fetch_prometheus_timeseries(prom_addresses, timeseries) + metric_descriptors = timeseries.metric_descriptors metrics_names = metric_descriptors.keys() event_aggregator_metrics = [ "ray_event_aggregator_agent_events_received_total", @@ -513,7 +522,8 @@ def test_case_stats_exist(): return all(metric in metrics_names for metric in event_aggregator_metrics) def test_case_value_correct(): - _, _, metric_samples = fetch_prometheus(prom_addresses) + fetch_prometheus_timeseries(prom_addresses, timeseries) + metric_samples = timeseries.metric_samples.values() expected_metrics_values = { "ray_event_aggregator_agent_events_received_total": 3.0, "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total": 0.0, @@ -587,6 +597,7 @@ def test_operation_stats(monkeypatch, shutdown_only): "ray_operation_queue_time_ms_bucket", "ray_operation_active_count", ] + timeseries = PrometheusTimeseries() addr = ray.init() remote_signal = SignalActor.remote() @@ -609,7 +620,7 @@ def wait(self): ray.get(obj_ref) def verify(): - metrics = raw_metrics(addr) + metrics = raw_metric_timeseries(addr, timeseries) samples = metrics["ray_operation_active_count"] found = False @@ -655,11 +666,12 @@ def test_histogram(_setup_cluster_for_test): autoscaler_export_addr, dashboard_export_addr, ) = _setup_cluster_for_test + timeseries = PrometheusTimeseries() def test_cases(): - components_dict, metric_descriptors, metric_samples = fetch_prometheus( - prom_addresses - ) + fetch_prometheus_timeseries(prom_addresses, timeseries) + metric_descriptors = timeseries.metric_descriptors + metric_samples = timeseries.metric_samples.values() metric_names = metric_descriptors.keys() custom_histogram_metric_name = "ray_test_histogram_bucket" assert custom_histogram_metric_name in metric_names @@ -694,7 +706,7 @@ def wrap_test_case_for_retry(): retry_interval_ms=1000, # Yield resource for other processes ) except RuntimeError: - print(f"The components are {pformat(fetch_prometheus(prom_addresses))}") + print(f"The components are {pformat(timeseries)}") test_cases() # Should fail assert @@ -706,6 +718,7 @@ def wrap_test_case_for_retry(): def test_counter_exported_as_gauge(shutdown_only): # Test to make sure Counter emits the right Prometheus metrics context = ray.init() + timeseries = PrometheusTimeseries() @ray.remote class Actor: @@ -725,7 +738,9 @@ def check_metrics(): metrics_page = "localhost:{}".format( context.address_info["metrics_export_port"] ) - _, metric_descriptors, metric_samples = fetch_prometheus([metrics_page]) + fetch_prometheus_timeseries([metrics_page], timeseries) + metric_descriptors = timeseries.metric_descriptors + metric_samples = timeseries.metric_samples.values() metric_samples_by_name = defaultdict(list) for metric_sample in metric_samples: metric_samples_by_name[metric_sample.name].append(metric_sample) @@ -759,6 +774,7 @@ def test_counter(monkeypatch, shutdown_only): # if RAY_EXPORT_COUNTER_AS_GAUGE is 0 monkeypatch.setenv("RAY_EXPORT_COUNTER_AS_GAUGE", "0") context = ray.init() + timeseries = PrometheusTimeseries() @ray.remote class Actor: @@ -772,7 +788,8 @@ def check_metrics(): metrics_page = "localhost:{}".format( context.address_info["metrics_export_port"] ) - _, metric_descriptors, _ = fetch_prometheus([metrics_page]) + fetch_prometheus_timeseries([metrics_page], timeseries) + metric_descriptors = timeseries.metric_descriptors assert "ray_test_counter" not in metric_descriptors assert "ray_test_counter_total" in metric_descriptors @@ -790,6 +807,7 @@ def test_per_func_name_stats(shutdown_only): "ray_component_rss_mb", "ray_component_num_fds", ] + timeseries = PrometheusTimeseries() if sys.platform == "linux" or sys.platform == "linux2": # Uss only available from Linux comp_metrics.append("ray_component_uss_mb") @@ -825,7 +843,7 @@ def do_nothing(): ray.get(do_nothing.remote()) def verify_components(): - metrics = raw_metrics(addr) + metrics = raw_metric_timeseries(addr, timeseries) metric_names = set(metrics.keys()) components = set() for metric in comp_metrics: @@ -846,7 +864,7 @@ def verify_components(): wait_for_condition(verify_components, timeout=30) def verify_mem_usage(): - metrics = raw_metrics(addr) + metrics = raw_metric_timeseries(addr, timeseries) for metric in comp_metrics: samples = metrics[metric] for sample in samples: @@ -869,7 +887,7 @@ def verify_mem_usage(): os.kill(pid, signal.SIGKILL) def verify_mem_cleaned(): - metrics = raw_metrics(addr) + metrics = raw_metric_timeseries(addr, timeseries) for metric in comp_metrics: samples = metrics[metric] for sample in samples: @@ -1149,9 +1167,12 @@ def test_custom_metrics_validation(shutdown_only): def test_metrics_disablement(_setup_cluster_for_test): """Make sure the metrics are not exported when it is disabled.""" prom_addresses, autoscaler_export_addr, _ = _setup_cluster_for_test + timeseries = PrometheusTimeseries() def verify_metrics_not_collected(): - components_dict, metric_descriptors, _ = fetch_prometheus(prom_addresses) + fetch_prometheus_timeseries(prom_addresses, timeseries) + components_dict = timeseries.components_dict + metric_descriptors = timeseries.metric_descriptors metric_names = metric_descriptors.keys() # Make sure no component is reported. for _, comp in components_dict.items(): diff --git a/python/ray/tests/test_task_metrics.py b/python/ray/tests/test_task_metrics.py index c57525914fe9..b49a3d2b17cf 100644 --- a/python/ray/tests/test_task_metrics.py +++ b/python/ray/tests/test_task_metrics.py @@ -9,7 +9,8 @@ from ray._common.test_utils import wait_for_condition from ray._private.metrics_agent import RAY_WORKER_TIMEOUT_S from ray._private.test_utils import ( - raw_metrics, + PrometheusTimeseries, + raw_metric_timeseries, run_string_as_driver, run_string_as_driver_nonblocking, wait_for_assertion, @@ -28,22 +29,28 @@ } -def tasks_by_state(info) -> dict: - return tasks_breakdown(info, lambda s: s.labels["State"]) +def tasks_by_state(info, timeseries: PrometheusTimeseries, flush: bool = False) -> dict: + if flush: + timeseries.flush() + return tasks_breakdown(info, lambda s: s.labels["State"], timeseries) -def tasks_by_name_and_state(info) -> dict: - return tasks_breakdown(info, lambda s: (s.labels["Name"], s.labels["State"])) +def tasks_by_name_and_state(info, timeseries: PrometheusTimeseries) -> dict: + return tasks_breakdown( + info, lambda s: (s.labels["Name"], s.labels["State"]), timeseries + ) -def tasks_by_all(info) -> dict: +def tasks_by_all(info, timeseries: PrometheusTimeseries) -> dict: return tasks_breakdown( - info, lambda s: (s.labels["Name"], s.labels["State"], s.labels["IsRetry"]) + info, + lambda s: (s.labels["Name"], s.labels["State"], s.labels["IsRetry"]), + timeseries, ) -def tasks_breakdown(info, key_fn) -> dict: - res = raw_metrics(info) +def tasks_breakdown(info, key_fn, timeseries: PrometheusTimeseries) -> dict: + res = raw_metric_timeseries(info, timeseries) if "ray_tasks" in res: breakdown = defaultdict(int) for sample in res["ray_tasks"]: @@ -75,15 +82,17 @@ def f(): ray.get(a) """ proc = run_string_as_driver_nonblocking(driver) - + timeseries = PrometheusTimeseries() expected = { "RUNNING": 2.0, "PENDING_NODE_ASSIGNMENT": 8.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) - assert tasks_by_name_and_state(info) == { + assert tasks_by_name_and_state(info, timeseries) == { ("f", "RUNNING"): 2.0, ("f", "PENDING_NODE_ASSIGNMENT"): 8.0, } @@ -92,7 +101,7 @@ def f(): def test_task_job_ids(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -106,15 +115,18 @@ def f(): ray.get(a) """ procs = [run_string_as_driver_nonblocking(driver) for _ in range(3)] + expected = { "RUNNING": 3.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) # Check we have three jobs reporting "RUNNING". - metrics = raw_metrics(info) + metrics = raw_metric_timeseries(info, timeseries) jobs_at_state = defaultdict(set) for sample in metrics["ray_tasks"]: jobs_at_state[sample.labels["State"]].add(sample.labels["JobId"]) @@ -127,7 +139,7 @@ def f(): def test_task_nested(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -154,14 +166,14 @@ def f(): } def check_task_state(): - assert tasks_by_state(info) == expected + assert tasks_by_state(info, timeseries) == expected wait_for_assertion( check_task_state, timeout=20, retry_interval_ms=2000, ) - assert tasks_by_name_and_state(info) == { + assert tasks_by_name_and_state(info, timeseries) == { ("wrapper", "RUNNING_IN_RAY_GET"): 1.0, ("f", "RUNNING"): 2.0, ("f", "PENDING_NODE_ASSIGNMENT"): 8.0, @@ -171,7 +183,7 @@ def check_task_state(): def test_task_nested_wait(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -198,14 +210,14 @@ def f(): } def check_task_state(): - assert tasks_by_state(info) == expected + assert tasks_by_state(info, timeseries) == expected wait_for_assertion( check_task_state, timeout=20, retry_interval_ms=2000, ) - assert tasks_by_name_and_state(info) == { + assert tasks_by_name_and_state(info, timeseries) == { ("wrapper", "RUNNING_IN_RAY_WAIT"): 1.0, ("f", "RUNNING"): 2.0, ("f", "PENDING_NODE_ASSIGNMENT"): 8.0, @@ -215,6 +227,7 @@ def check_task_state(): def driver_for_test_task_fetch_args(head_info): ray.init("auto") + timeseries = PrometheusTimeseries() @ray.remote(resources={"worker": 1}) def task1(): @@ -228,13 +241,15 @@ def task2(obj): o2 = task2.remote(o1) wait_for_condition( - lambda: tasks_by_state(head_info).get("PENDING_ARGS_FETCH", 0.0) == 1.0 + lambda: tasks_by_state(head_info, timeseries).get("PENDING_ARGS_FETCH", 0.0) + == 1.0 ) ray.cancel(o2) wait_for_condition( - lambda: tasks_by_state(head_info).get("PENDING_ARGS_FETCH", 0.0) == 0.0 + lambda: tasks_by_state(head_info, timeseries).get("PENDING_ARGS_FETCH", 0.0) + == 0.0 ) @@ -262,7 +277,7 @@ def test_task_fetch_args(ray_start_cluster): def test_task_wait_on_deps(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -287,9 +302,11 @@ def g(x): "PENDING_ARGS_AVAIL": 5.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) - assert tasks_by_name_and_state(info) == { + assert tasks_by_name_and_state(info, timeseries) == { ("f", "RUNNING"): 1.0, ("g", "PENDING_ARGS_AVAIL"): 5.0, } @@ -298,7 +315,7 @@ def g(x): def test_actor_tasks_queued(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -321,25 +338,22 @@ def g(self): """ proc = run_string_as_driver_nonblocking(driver) expected = { - "RUNNING": 1.0, - "SUBMITTED_TO_WORKER": 9.0, - "FINISHED": 11.0, - } - wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 - ) - assert tasks_by_name_and_state(info) == { ("F.__init__", "FINISHED"): 1.0, ("F.g", "FINISHED"): 10.0, ("F.f", "RUNNING"): 1.0, ("F.g", "SUBMITTED_TO_WORKER"): 9.0, } + wait_for_condition( + lambda: tasks_by_name_and_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, + ) proc.kill() def test_task_finish(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -365,9 +379,11 @@ def g(): "FINISHED": 1.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) - assert tasks_by_name_and_state(info) == { + assert tasks_by_name_and_state(info, timeseries) == { ("g", "FAILED"): 1.0, ("f", "FINISHED"): 1.0, } @@ -376,7 +392,7 @@ def g(): def test_task_retry(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -419,7 +435,7 @@ def f(): ("Phaser.inc", "FAILED", "0"): 2.0, } wait_for_condition( - lambda: tasks_by_all(info) == expected, + lambda: tasks_by_all(info, timeseries) == expected, timeout=20, retry_interval_ms=500, ) @@ -429,7 +445,7 @@ def f(): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows. Timing out.") def test_actor_task_retry(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import os @@ -473,7 +489,7 @@ def f(self): ("Phaser.inc", "FINISHED", "0"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info) == expected, + lambda: tasks_by_all(info, timeseries) == expected, timeout=20, retry_interval_ms=500, ) @@ -483,7 +499,7 @@ def f(self): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") def test_task_failure(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -510,14 +526,16 @@ def g(): "FAILED": 2.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) proc.kill() def test_concurrent_actor_tasks(shutdown_only): info = ray.init(num_cpus=2, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import asyncio @@ -540,7 +558,9 @@ async def f(self): "FINISHED": 1.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) proc.kill() @@ -548,7 +568,7 @@ async def f(self): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") def test_metrics_export_now(shutdown_only): info = ray.init(num_cpus=2, **SLOW_METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -567,20 +587,22 @@ def f(): for i in range(10): print("Run job", i) run_string_as_driver(driver) - tasks_by_state(info) + tasks_by_state(info, timeseries) expected = { "FINISHED": 100.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) @pytest.mark.skipif(sys.platform == "darwin", reason="Flaky on macos") def test_pull_manager_stats(shutdown_only): info = ray.init(num_cpus=2, object_store_memory=100_000_000, **METRIC_CONFIG) - + timeseries = PrometheusTimeseries() driver = """ import ray import time @@ -613,7 +635,7 @@ def close_to_expected(stats): return True wait_for_condition( - lambda: close_to_expected(tasks_by_state(info)), + lambda: close_to_expected(tasks_by_state(info, timeseries)), timeout=20, retry_interval_ms=500, ) @@ -622,6 +644,7 @@ def close_to_expected(stats): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") def test_stale_view_cleanup_when_job_exits(monkeypatch, shutdown_only): + timeseries = PrometheusTimeseries() with monkeypatch.context() as m: m.setenv(RAY_WORKER_TIMEOUT_S, 5) info = ray.init(num_cpus=2, **METRIC_CONFIG) @@ -646,14 +669,18 @@ def g(): "RUNNING": 1.0, } wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries) == expected, + timeout=20, + retry_interval_ms=500, ) proc.kill() print("Killing a driver.") expected = {} wait_for_condition( - lambda: tasks_by_state(info) == expected, timeout=20, retry_interval_ms=500 + lambda: tasks_by_state(info, timeseries, flush=True) == expected, + timeout=20, + retry_interval_ms=500, ) @@ -663,7 +690,7 @@ def test_metrics_batch(shutdown_only): config_copy = copy.deepcopy(METRIC_CONFIG) config_copy["_system_config"].update({"metrics_report_batch_size": 1}) info = ray.init(num_cpus=2, **config_copy) - + timeseries = PrometheusTimeseries() driver = """ import ray import os @@ -707,7 +734,7 @@ def f(self): ("Phaser.inc", "FINISHED", "0"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info) == expected, + lambda: tasks_by_all(info, timeseries) == expected, timeout=20, retry_interval_ms=500, ) diff --git a/python/ray/tests/test_task_metrics_reconstruction.py b/python/ray/tests/test_task_metrics_reconstruction.py index b066f5b9a498..a7cf189dcc5a 100644 --- a/python/ray/tests/test_task_metrics_reconstruction.py +++ b/python/ray/tests/test_task_metrics_reconstruction.py @@ -7,12 +7,16 @@ from ray._common.test_utils import ( wait_for_condition, ) +from ray._private.test_utils import ( + PrometheusTimeseries, +) from ray.tests.test_task_metrics import METRIC_CONFIG, tasks_by_all # Copied from similar test in test_reconstruction_2.py. @pytest.mark.skipif(sys.platform == "win32", reason="No multi-node on Windows.") def test_task_reconstruction(ray_start_cluster): + timeseries = PrometheusTimeseries() cluster = ray_start_cluster # Head node with no resources. @@ -43,7 +47,7 @@ def dependent_task(x): ("dependent_task", "FINISHED", "0"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info) == expected, + lambda: tasks_by_all(info, timeseries) == expected, timeout=20, retry_interval_ms=500, ) @@ -62,7 +66,7 @@ def dependent_task(x): ("dependent_task", "FINISHED", "1"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info) == expected, + lambda: tasks_by_all(info, timeseries) == expected, timeout=20, retry_interval_ms=500, ) diff --git a/src/ray/observability/open_telemetry_metric_recorder.cc b/src/ray/observability/open_telemetry_metric_recorder.cc index 8c851ed84f05..45de39e596bf 100644 --- a/src/ray/observability/open_telemetry_metric_recorder.cc +++ b/src/ray/observability/open_telemetry_metric_recorder.cc @@ -116,6 +116,7 @@ void OpenTelemetryMetricRecorder::CollectGaugeMetricValues( for (const auto &observation : it->second) { observer->Observe(observation.second, observation.first); } + it->second.clear(); } void OpenTelemetryMetricRecorder::RegisterGaugeMetric(const std::string &name, diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index 9347b70bfad2..6b4cab883ebb 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -130,9 +130,10 @@ static inline void InitOpenTelemetryExporter(const int metrics_agent_port, /*interval=*/ std::chrono::milliseconds( absl::ToInt64Milliseconds(StatsConfig::instance().GetReportInterval())), - /*timeout=*/ + /*timeout=, set the timeout to be half of the interval to avoid potential request + queueing.*/ std::chrono::milliseconds( - absl::ToInt64Milliseconds(StatsConfig::instance().GetHarvestInterval()))); + absl::ToInt64Milliseconds(0.5 * StatsConfig::instance().GetReportInterval()))); } /// Shutdown the initialized stats library. From cfde459625ff5249d3c95550427386ca8ecb5af1 Mon Sep 17 00:00:00 2001 From: Mengjin Yan Date: Wed, 17 Sep 2025 22:43:56 -0700 Subject: [PATCH 1261/1566] [Core][TaskEventFollowup/05] Make RayEventsTuple a Data Class (#56630) Signed-off-by: Mengjin Yan Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- src/ray/core_worker/task_event_buffer.cc | 39 +++++------- src/ray/core_worker/task_event_buffer.h | 31 +++++----- .../tests/task_event_buffer_test.cc | 59 ++++++++----------- 3 files changed, 58 insertions(+), 71 deletions(-) diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index f6f632b581c1..5a3662415d0b 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -280,33 +280,31 @@ void TaskStatusEvent::PopulateRpcRayEventBaseFields( } void TaskStatusEvent::ToRpcRayEvents(RayEventsTuple &ray_events_tuple) { - auto &[task_definition_event_rpc, task_execution_event_rpc, task_profile_event_rpc] = - ray_events_tuple; - google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(timestamp_); // Populate the task definition event - if (task_spec_ && !task_definition_event_rpc) { - PopulateRpcRayEventBaseFields(task_definition_event_rpc.emplace(), true, timestamp); + if (task_spec_ && !ray_events_tuple.task_definition_event) { + PopulateRpcRayEventBaseFields( + ray_events_tuple.task_definition_event.emplace(), true, timestamp); if (is_actor_task_event_) { auto actor_task_definition_event = - task_definition_event_rpc->mutable_actor_task_definition_event(); + ray_events_tuple.task_definition_event->mutable_actor_task_definition_event(); PopulateRpcRayTaskDefinitionEvent(*actor_task_definition_event); } else { auto task_definition_event = - task_definition_event_rpc->mutable_task_definition_event(); + ray_events_tuple.task_definition_event->mutable_task_definition_event(); PopulateRpcRayTaskDefinitionEvent(*task_definition_event); } } // Populate the task execution event - PopulateRpcRayEventBaseFields(task_execution_event_rpc.has_value() - ? task_execution_event_rpc.value() - : task_execution_event_rpc.emplace(), + PopulateRpcRayEventBaseFields(ray_events_tuple.task_execution_event.has_value() + ? ray_events_tuple.task_execution_event.value() + : ray_events_tuple.task_execution_event.emplace(), false, timestamp); auto task_execution_event = - task_execution_event_rpc.value().mutable_task_execution_event(); + ray_events_tuple.task_execution_event.value().mutable_task_execution_event(); PopulateRpcRayTaskExecutionEvent(*task_execution_event, timestamp); } @@ -358,14 +356,11 @@ void TaskProfileEvent::PopulateRpcRayEventBaseFields( } void TaskProfileEvent::ToRpcRayEvents(RayEventsTuple &ray_events_tuple) { - auto &[task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - // Using profile start time as the event generation timestamp google::protobuf::Timestamp timestamp = AbslTimeNanosToProtoTimestamp(start_time_); // Populate Ray event base fields - auto &ray_event = task_profile_event.emplace(); + auto &ray_event = ray_events_tuple.task_profile_event.emplace(); PopulateRpcRayEventBaseFields(ray_event, timestamp); // Populate the task profile event @@ -627,19 +622,17 @@ TaskEventBufferImpl::CreateRayEventsDataToSend( auto data = std::make_unique(); // Move the ray events. for (auto &[task_attempt, ray_events_tuple] : agg_task_events) { - auto &[task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - if (task_definition_event) { + if (ray_events_tuple.task_definition_event) { auto events = data->add_events(); - *events = std::move(task_definition_event.value()); + *events = std::move(ray_events_tuple.task_definition_event.value()); } - if (task_execution_event) { + if (ray_events_tuple.task_execution_event) { auto events = data->add_events(); - *events = std::move(task_execution_event.value()); + *events = std::move(ray_events_tuple.task_execution_event.value()); } - if (task_profile_event) { + if (ray_events_tuple.task_profile_event) { auto events = data->add_events(); - *events = std::move(task_profile_event.value()); + *events = std::move(ray_events_tuple.task_profile_event.value()); } } diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index 2e9ce16fc4dc..d0196af1d582 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -42,16 +42,19 @@ namespace core { namespace worker { using TaskAttempt = std::pair; -/// A tuple of rpc::events::RayEvent. -/// When converting the TaskStatusEvent, the first 2 elements of the tuple will be -/// populated with rpc::events::TaskDefinitionEvent and rpc::events::TaskExecutionEvent -/// respectively. When converting the TaskProfileEvent, the last element of the tuple will -/// be populated with rpc::events::TaskProfileEvent. A tuple is needed because the -/// TaskProfileEvent, TaskDefinitionEvent and TaskExecutionEvent all can share the same -/// task_id and attempt_number. -using RayEventsTuple = std::tuple, - std::optional, - std::optional>; + +/// A struct containing a tuple of rpc::events::RayEvent. +/// When converting the TaskStatusEvent, task_definition_event and task_execution_event +/// will be populated with rpc::events::TaskDefinitionEvent and +/// rpc::events::TaskExecutionEvent respectively. When converting the TaskProfileEvent, +/// task_profile_event will be populated with rpc::events::TaskProfileEvent. A struct is +/// needed because the TaskProfileEvent, TaskDefinitionEvent and TaskExecutionEvent all +/// can share the same task_id and attempt_number. +struct RayEventsTuple { + std::optional task_definition_event; + std::optional task_execution_event; + std::optional task_profile_event; +}; /// A wrapper class that will be converted to protobuf task events representation. /// @@ -87,7 +90,8 @@ class TaskEvent { /// Convert itself to a pair of RayEvent. /// - /// \param[out] ray_events The pair of rpc::events::RayEvent + /// \param[out] ray_events_tuple The struct containing a tuple of rpc::events::RayEvent + /// to be filled. virtual void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) = 0; /// If it is a profile event. @@ -173,8 +177,8 @@ class TaskStatusEvent : public TaskEvent { /// NOTE: this method will modify internal states by moving fields of task_spec_ to /// the rpc::events::RayEvent. /// - /// \param[out] ray_events The tuple of rpc::events::RayEvent protobuf messages to be - /// filled. + /// \param[out] ray_events_tuple The struct containing a tuple of rpc::events::RayEvent + /// to be filled. void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) override; bool IsProfileEvent() const override { return false; } @@ -228,7 +232,6 @@ class TaskProfileEvent : public TaskEvent { std::shared_ptr rpc_task_export_event_data) override; /// Note: The extra data will be moved when this is called and will no longer be usable. - /// Second element of the RayEventsTuple will always be empty for TaskProfileEvent. void ToRpcRayEvents(RayEventsTuple &ray_events_tuple) override; bool IsProfileEvent() const override { return true; } diff --git a/src/ray/core_worker/tests/task_event_buffer_test.cc b/src/ray/core_worker/tests/task_event_buffer_test.cc index 58edefd13604..3da731c2fce4 100644 --- a/src/ray/core_worker/tests/task_event_buffer_test.cc +++ b/src/ray/core_worker/tests/task_event_buffer_test.cc @@ -435,19 +435,17 @@ TEST_P(TaskEventBufferTestDifferentDestination, TestFlushEvents) { RayEventsTuple ray_events_tuple; task_event->ToRpcRayEvents(ray_events_tuple); - auto [task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - if (task_definition_event) { + if (ray_events_tuple.task_definition_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_definition_event.value()); + *new_event = std::move(ray_events_tuple.task_definition_event.value()); } - if (task_execution_event) { + if (ray_events_tuple.task_execution_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_execution_event.value()); + *new_event = std::move(ray_events_tuple.task_execution_event.value()); } - if (task_profile_event) { + if (ray_events_tuple.task_profile_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_profile_event.value()); + *new_event = std::move(ray_events_tuple.task_profile_event.value()); } } @@ -755,19 +753,17 @@ TEST_P(TaskEventBufferTestLimitBufferDifferentDestination, RayEventsTuple ray_events_tuple; event->ToRpcRayEvents(ray_events_tuple); - auto [task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - if (task_definition_event) { + if (ray_events_tuple.task_definition_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_definition_event.value()); + *new_event = std::move(ray_events_tuple.task_definition_event.value()); } - if (task_execution_event) { + if (ray_events_tuple.task_execution_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_execution_event.value()); + *new_event = std::move(ray_events_tuple.task_execution_event.value()); } - if (task_profile_event) { + if (ray_events_tuple.task_profile_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_profile_event.value()); + *new_event = std::move(ray_events_tuple.task_profile_event.value()); } } @@ -961,20 +957,17 @@ TEST_F(TaskEventBufferTest, TestTaskProfileEventToRpcRayEvents) { RayEventsTuple ray_events_tuple; profile_event->ToRpcRayEvents(ray_events_tuple); - auto &[task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - // Verify that the second event is nullopt (empty) - EXPECT_FALSE(task_definition_event.has_value()) - << "TaskProfileEvent should be populated at the third element of RayEventsTuple"; - EXPECT_FALSE(task_execution_event.has_value()) - << "TaskProfileEvent should be populated at the third element of RayEventsTuple"; + EXPECT_FALSE(ray_events_tuple.task_definition_event.has_value()) + << "TaskProfileEvent should be populated in RayEventsTuple"; + EXPECT_FALSE(ray_events_tuple.task_execution_event.has_value()) + << "TaskProfileEvent should be populated in RayEventsTuple"; // Verify that the first event contains the profile event - ASSERT_TRUE(task_profile_event.has_value()) - << "TaskProfileEvent should populate third element of RayEventsTuple"; + ASSERT_TRUE(ray_events_tuple.task_profile_event.has_value()) + << "TaskProfileEvent should populate in RayEventsTuple"; - const auto &ray_event = task_profile_event.value(); + const auto &ray_event = ray_events_tuple.task_profile_event.value(); // Verify base fields EXPECT_EQ(ray_event.source_type(), rpc::events::RayEvent::CORE_WORKER); @@ -1089,19 +1082,17 @@ TEST_P(TaskEventBufferTestDifferentDestination, RayEventsTuple ray_events_tuple; status_event->ToRpcRayEvents(ray_events_tuple); profile_event->ToRpcRayEvents(ray_events_tuple); - auto [task_definition_event, task_execution_event, task_profile_event] = - ray_events_tuple; - if (task_definition_event) { + if (ray_events_tuple.task_definition_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_definition_event.value()); + *new_event = std::move(ray_events_tuple.task_definition_event.value()); } - if (task_execution_event) { + if (ray_events_tuple.task_execution_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_execution_event.value()); + *new_event = std::move(ray_events_tuple.task_execution_event.value()); } - if (task_profile_event) { + if (ray_events_tuple.task_profile_event) { auto new_event = expected_ray_events_data.add_events(); - *new_event = std::move(task_profile_event.value()); + *new_event = std::move(ray_events_tuple.task_profile_event.value()); } // Add Events to the task event buffer From 0469270a9902a3b0e588da35e01909d31d21ecfc Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 17 Sep 2025 22:44:56 -0700 Subject: [PATCH 1262/1566] [ci] raydepsets: prehook args shlex split (2/?) (#56637) using schlex split for pre-hook command adding unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 18 +++++++++++++----- ci/raydepsets/tests/test_cli.py | 12 ++++++++++++ ci/raydepsets/tests/test_data/pre-hook-test.sh | 2 +- .../tests/test_data/test.depsets.yaml | 2 +- ci/raydepsets/tests/test_workspace.py | 2 +- 5 files changed, 28 insertions(+), 8 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 6e73b7b5b13e..1133657f8850 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -1,5 +1,6 @@ import difflib import platform +import shlex import shutil import subprocess import sys @@ -205,11 +206,18 @@ def exec_uv_cmd( return status.stdout def execute_pre_hook(self, pre_hook: str): - status_code = subprocess.call(pre_hook, cwd=self.workspace.dir) - if status_code != 0: - raise RuntimeError(f"Failed to execute pre-hook: {pre_hook}") - click.echo(f"Executed pre-hook: {pre_hook}") - return status_code + status = subprocess.run( + shlex.split(pre_hook), + cwd=self.workspace.dir, + capture_output=True, + text=True, + ) + if status.returncode != 0: + raise RuntimeError( + f"Failed to execute pre_hook {pre_hook} with error: {status.stderr}", + ) + click.echo(f"{status.stdout}") + click.echo(f"Executed pre_hook {pre_hook} successfully") def execute_depset(self, depset: Depset): if depset.operation == "compile": diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index d44ce195711f..a386f162d725 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -1,9 +1,11 @@ +import io import subprocess import sys import tempfile import unittest from pathlib import Path from typing import Optional +from unittest.mock import patch import pytest import runfiles @@ -723,6 +725,16 @@ def test_compile_with_packages_and_requirements(self): output_text_valid = output_file_valid.read_text() assert output_text == output_text_valid + @patch("sys.stdout", new_callable=io.StringIO) + def test_execute_pre_hook(self, mock_stdout): + with tempfile.TemporaryDirectory() as tmpdir: + copy_data_to_tmpdir(tmpdir) + manager = _create_test_manager(tmpdir) + manager.execute_pre_hook("pre-hook-test.sh test") + stdout = mock_stdout.getvalue() + assert "Pre-hook test\n" in stdout + assert "Executed pre_hook pre-hook-test.sh test successfully" in stdout + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/ci/raydepsets/tests/test_data/pre-hook-test.sh b/ci/raydepsets/tests/test_data/pre-hook-test.sh index bd86a37a2e34..88035230a76e 100755 --- a/ci/raydepsets/tests/test_data/pre-hook-test.sh +++ b/ci/raydepsets/tests/test_data/pre-hook-test.sh @@ -2,4 +2,4 @@ set -euo pipefail -echo "Pre-hook test" +echo "Pre-hook ${1-test}" diff --git a/ci/raydepsets/tests/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml index 97950a046a68..b24bbb54f7be 100644 --- a/ci/raydepsets/tests/test_data/test.depsets.yaml +++ b/ci/raydepsets/tests/test_data/test.depsets.yaml @@ -57,4 +57,4 @@ depsets: - requirements_test.txt output: requirements_compiled_pre_hook.txt pre_hooks: - - pre-hook-test.sh + - pre-hook-test.sh test diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index a79ce82d4b60..3d0639158a0f 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -74,7 +74,7 @@ def test_parse_pre_hooks(): workspace = Workspace(dir=tmpdir) config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") pre_hook_depset = get_depset_by_name(config.depsets, "pre_hook_test_depset") - assert pre_hook_depset.pre_hooks == ["pre-hook-test.sh"] + assert pre_hook_depset.pre_hooks == ["pre-hook-test.sh test"] if __name__ == "__main__": From 53ffb06b174df07ab395064b687c2e46c74090de Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Thu, 18 Sep 2025 13:52:33 +0800 Subject: [PATCH 1263/1566] [fix][core]A timeout should be set when submitting patch requests for autoscaler (#56605) Signed-off-by: daiping8 Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/kuberay/node_provider.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/ray/autoscaler/_private/kuberay/node_provider.py b/python/ray/autoscaler/_private/kuberay/node_provider.py index b3715f0dd9fa..bafcb8ed028a 100644 --- a/python/ray/autoscaler/_private/kuberay/node_provider.py +++ b/python/ray/autoscaler/_private/kuberay/node_provider.py @@ -334,6 +334,7 @@ def patch(self, path: str, payload: List[Dict[str, Any]]) -> Dict[str, Any]: url, json.dumps(payload), headers={**headers, "Content-type": "application/json-patch+json"}, + timeout=KUBERAY_REQUEST_TIMEOUT_S, verify=verify, ) if not result.status_code == 200: From 61158530c2fd864883eb24fe6b4ae7b2b7d46e95 Mon Sep 17 00:00:00 2001 From: Kamil Kaczmarek Date: Thu, 18 Sep 2025 02:37:52 -0700 Subject: [PATCH 1264/1566] [RLlib] Fix failing env step in `MultiAgentEnvRunner`. (#55567) ## Why are these changes needed? Fix failing release test: `learning_tests_multi_agent_cartpole_appo_multi_gpu`. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Kamil Kaczmarek Signed-off-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/env/env_runner.py | 8 +- rllib/env/multi_agent_env.py | 2 +- rllib/env/multi_agent_env_runner.py | 29 ++-- rllib/env/single_agent_env_runner.py | 26 ++-- .../env/tests/test_single_agent_env_runner.py | 141 +++++++++--------- .../examples/envs/classes/simple_corridor.py | 8 +- 6 files changed, 115 insertions(+), 99 deletions(-) diff --git a/rllib/env/env_runner.py b/rllib/env/env_runner.py index 6da4fcaf68e0..04191cf28900 100644 --- a/rllib/env/env_runner.py +++ b/rllib/env/env_runner.py @@ -228,7 +228,7 @@ def _try_env_reset( raise e def _try_env_step(self, actions): - """Tries stepping the env and - if an error orrurs - handles it gracefully.""" + """Tries stepping the env and - if an error occurs - handles it gracefully.""" try: with self.metrics.log_time(ENV_STEP_TIMER): results = self.env.step(actions) @@ -236,9 +236,13 @@ def _try_env_step(self, actions): except Exception as e: self.metrics.log_value(NUM_ENV_STEP_FAILURES_LIFETIME, 1, reduce="sum") + # @OldAPIStack (config.restart_failed_sub_environments) if self.config.restart_failed_sub_environments: if not isinstance(e, StepFailedRecreateEnvError): - logger.exception("Stepping the env resulted in an error!") + logger.exception( + "Stepping the env resulted in an error! The original error " + f"is: {e}" + ) # Recreate the env. self.make_env() # And return that the stepping failed. The caller will then handle diff --git a/rllib/env/multi_agent_env.py b/rllib/env/multi_agent_env.py index a09f2cd93f97..327abe50779e 100644 --- a/rllib/env/multi_agent_env.py +++ b/rllib/env/multi_agent_env.py @@ -444,7 +444,7 @@ def step(self, action_dict): # an additional episode_done bool that covers cases where all agents are # either terminated or truncated, but not all are truncated and not all are # terminated. We can then get rid of the aweful `__all__` special keys! - terminated["__all__"] = len(self.terminateds) + len(self.truncateds) == len( + terminated["__all__"] = len(self.terminateds | self.truncateds) == len( self.envs ) truncated["__all__"] = len(self.truncateds) == len(self.envs) diff --git a/rllib/env/multi_agent_env_runner.py b/rllib/env/multi_agent_env_runner.py index 48d7e1a6a9af..f1c5922eab8c 100644 --- a/rllib/env/multi_agent_env_runner.py +++ b/rllib/env/multi_agent_env_runner.py @@ -158,9 +158,9 @@ def sample( Args: num_timesteps: The number of timesteps to sample during this call. - Note that only one of `num_timetseps` or `num_episodes` may be provided. + Note that only one of `num_timesteps` or `num_episodes` may be provided. num_episodes: The number of episodes to sample during this call. - Note that only one of `num_timetseps` or `num_episodes` may be provided. + Note that only one of `num_timesteps` or `num_episodes` may be provided. explore: If True, will use the RLModule's `forward_exploration()` method to compute actions. If False, will use the RLModule's `forward_inference()` method. If None (default), will use the `explore` @@ -183,8 +183,11 @@ def sample( f"{self} doesn't have an env! Can't call `sample()` on it." ) - assert not (num_timesteps is not None and num_episodes is not None) - + assert not (num_timesteps is not None and num_episodes is not None), ( + "Provide " + "either `num_timesteps` or `num_episodes`. Both provided here:" + f"{num_timesteps=}, {num_episodes=}" + ) # Log time between `sample()` requests. if self._time_after_sampling is not None: self.metrics.log_value( @@ -214,7 +217,7 @@ def sample( * self.num_envs ) - # Sample n timesteps. + # Sample "num_timesteps" timesteps. if num_timesteps is not None: samples = self._sample( num_timesteps=num_timesteps, @@ -222,15 +225,14 @@ def sample( random_actions=random_actions, force_reset=force_reset, ) - # Sample m episodes. + # Sample "num_episodes" episodes. elif num_episodes is not None: samples = self._sample( num_episodes=num_episodes, explore=explore, random_actions=random_actions, ) - # For complete episodes mode, sample as long as the number of timesteps - # done is smaller than the `train_batch_size`. + # For batch_mode="complete_episodes" (env_runners configuration), continue sampling as long as the number of timesteps done is smaller than the `train_batch_size`. else: samples = self._sample( num_episodes=self.num_envs, @@ -346,14 +348,14 @@ def _sample( metrics_prefix_key=(MODULE_TO_ENV_CONNECTOR,), ) # In case all environments had been terminated `to_module` will be - # empty and no actions are needed b/c we reset all environemnts. + # empty and no actions are needed b/c we reset all environments. else: to_env = {} shared_data["vector_env_episodes_map"] = {} # Extract the (vectorized) actions (to be sent to the env) from the # module/connector output. Note that these actions are fully ready (e.g. - # already unsquashed/clipped) to be sent to the environment) and might not + # already unsquashed/clipped) to be sent to the environment and might not # be identical to the actions produced by the RLModule/distribution, which # are the ones stored permanently in the episode objects. actions = to_env.pop(Columns.ACTIONS, [{} for _ in episodes]) @@ -361,6 +363,9 @@ def _sample( # Try stepping the environment. results = self._try_env_step(actions_for_env) if results == ENV_STEP_FAILURE: + logging.warning( + f"RLlib {self.__class__.__name__}: Environment step failed. Will force reset env(s) in this EnvRunner." + ) return self._sample( num_timesteps=num_timesteps, num_episodes=num_episodes, @@ -372,7 +377,7 @@ def _sample( call_on_episode_start = set() # Store the data from the last environment step into the - # episodes for all sub-envrironments. + # episodes for all sub-environments. for env_index in range(self.num_envs): extra_model_outputs = defaultdict(dict) # `to_env` returns a dictionary with column keys and @@ -710,7 +715,7 @@ def set_state(self, state: StateDict) -> None: # update. weights_seq_no = state.get(WEIGHTS_SEQ_NO, 0) - # Only update the weigths, if this is the first synchronization or + # Only update the weights, if this is the first synchronization or # if the weights of this `EnvRunner` lacks behind the actual ones. if weights_seq_no == 0 or self._weights_seq_no < weights_seq_no: rl_module_state = state[COMPONENT_RL_MODULE] diff --git a/rllib/env/single_agent_env_runner.py b/rllib/env/single_agent_env_runner.py index d032f3a8d245..ec30195bec44 100644 --- a/rllib/env/single_agent_env_runner.py +++ b/rllib/env/single_agent_env_runner.py @@ -157,9 +157,9 @@ def sample( Args: num_timesteps: The number of timesteps to sample during this call. - Note that only one of `num_timetseps` or `num_episodes` may be provided. + Note that only one of `num_timesteps` or `num_episodes` may be provided. num_episodes: The number of episodes to sample during this call. - Note that only one of `num_timetseps` or `num_episodes` may be provided. + Note that only one of `num_timesteps` or `num_episodes` may be provided. explore: If True, will use the RLModule's `forward_exploration()` method to compute actions. If False, will use the RLModule's `forward_inference()` method. If None (default), will use the `explore` @@ -328,7 +328,7 @@ def _sample( # Extract the (vectorized) actions (to be sent to the env) from the # module/connector output. Note that these actions are fully ready (e.g. - # already unsquashed/clipped) to be sent to the environment) and might not + # already unsquashed/clipped) to be sent to the environment and might not # be identical to the actions produced by the RLModule/distribution, which # are the ones stored permanently in the episode objects. actions = to_env.pop(Columns.ACTIONS) @@ -362,7 +362,7 @@ def _sample( # Call `add_env_step()` method on episode. else: - # Only increase ts when we actually stepped (not reset'd as a reset + # Only increase ts when we actually stepped (not reset as a reset # does not count as a timestep). ts += 1 episodes[env_index].add_env_step( @@ -375,7 +375,7 @@ def _sample( extra_model_outputs=extra_model_output, ) - # Env-to-module connector pass (cache results as we will do the RLModule + # Env-to-module connector pass cache results as we will do the RLModule # forward pass only in the next `while`-iteration. if self.module is not None: self._cached_to_module = self._env_to_module( @@ -442,7 +442,7 @@ def _sample( ] for eps in self._episodes: - # Just started Episodes do not have to be returned. There is no data + # Just started episodes do not have to be returned. There is no data # in them anyway. if eps.t == 0: continue @@ -554,8 +554,8 @@ def set_state(self, state: StateDict) -> None: # update. weights_seq_no = state.get(WEIGHTS_SEQ_NO, 0) - # Only update the weigths, if this is the first synchronization or - # if the weights of this `EnvRunner` lacks behind the actual ones. + # Only update the weights, if this is the first synchronization or + # if the weights of this `EnvRunner` lag behind the actual ones. if weights_seq_no == 0 or self._weights_seq_no < weights_seq_no: rl_module_state = state[COMPONENT_RL_MODULE] if isinstance(rl_module_state, ray.ObjectRef): @@ -609,13 +609,13 @@ def get_checkpointable_components(self): def assert_healthy(self): """Checks that self.__init__() has been completed properly. - Ensures that the instances has a `MultiRLModule` and an + Ensures that the instance has a `MultiRLModule` and an environment defined. Raises: AssertionError: If the EnvRunner Actor has NOT been properly initialized. """ - # Make sure, we have built our gym.vector.Env and RLModule properly. + # Make sure we have built our gym.vector.Env and RLModule properly. assert self.env and hasattr(self, "module") @override(EnvRunner) @@ -626,8 +626,8 @@ def make_env(self) -> None: `self.config.env_config`) and then call this method to create new environments with the updated configuration. """ - # If an env already exists, try closing it first (to allow it to properly - # cleanup). + # If an env already exists, try closing it first + # to allow it to properly clean up. if self.env is not None: try: self.env.close() @@ -854,7 +854,7 @@ def _log_episode_metrics(self, length, ret, sec): # Log general episode metrics. # Use the configured window, but factor in the parallelism of the EnvRunners. # As a result, we only log the last `window / num_env_runners` steps here, - # b/c everything gets parallel-merged in the Algorithm process. + # because everything gets parallel-merged in the Algorithm process. win = max( 1, int( diff --git a/rllib/env/tests/test_single_agent_env_runner.py b/rllib/env/tests/test_single_agent_env_runner.py index 0aac37bb3f83..2f3df1864bf4 100644 --- a/rllib/env/tests/test_single_agent_env_runner.py +++ b/rllib/env/tests/test_single_agent_env_runner.py @@ -1,14 +1,14 @@ +import unittest from functools import partial from unittest.mock import patch -import unittest import gymnasium as gym import ray from ray import tune from ray.rllib.algorithms.algorithm_config import AlgorithmConfig -from ray.rllib.env.single_agent_env_runner import SingleAgentEnvRunner from ray.rllib.env.env_runner import StepFailedRecreateEnvError +from ray.rllib.env.single_agent_env_runner import SingleAgentEnvRunner from ray.rllib.env.utils import _gym_env_creator from ray.rllib.examples.envs.classes.simple_corridor import SimpleCorridor from ray.rllib.utils.test_utils import check @@ -37,71 +37,6 @@ def setUpClass(cls) -> None: def tearDownClass(cls) -> None: ray.shutdown() - def test_sample(self): - config = ( - AlgorithmConfig().environment("CartPole-v1") - # Vectorize x2 and by default, rollout 64 timesteps per individual env. - .env_runners(num_envs_per_env_runner=2, rollout_fragment_length=64) - ) - env_runner = SingleAgentEnvRunner(config=config) - - # Expect error if both num_timesteps and num_episodes given. - self.assertRaises( - AssertionError, - lambda: env_runner.sample( - num_timesteps=10, num_episodes=10, random_actions=True - ), - ) - - # Sample 10 episodes (5 per env) 100 times. - for _ in range(100): - episodes = env_runner.sample(num_episodes=10, random_actions=True) - check(len(episodes), 10) - # Since we sampled complete episodes, there should be no ongoing episodes - # being returned. - self.assertTrue(all(e.is_done for e in episodes)) - - # Sample 10 timesteps (5 per env) 100 times. - for _ in range(100): - episodes = env_runner.sample(num_timesteps=10, random_actions=True) - # Check the sum of lengths of all episodes returned. - sum_ = sum(map(len, episodes)) - self.assertTrue(sum_ in [10, 11]) - - # Sample (by default setting: rollout_fragment_length=64) 10 times. - for _ in range(100): - episodes = env_runner.sample(random_actions=True) - # Check, whether the sum of lengths of all episodes returned is 128 - # 2 (num_env_per_worker) * 64 (rollout_fragment_length). - sum_ = sum(map(len, episodes)) - self.assertTrue(sum_ in [128, 129]) - - def test_async_vector_env(self): - """Tests, whether SingleAgentEnvRunner can run with vector envs.""" - - for env in ["CartPole-v1", SimpleCorridor, "tune-registered"]: - config = ( - AlgorithmConfig().environment(env) - # Vectorize x5 and by default, rollout 64 timesteps per individual env. - .env_runners( - num_env_runners=0, - num_envs_per_env_runner=5, - rollout_fragment_length=10, - remote_worker_envs=True, - ) - ) - - env_runner = SingleAgentEnvRunner(config=config) - - # Sample with the async-vectorized env. - episodes = env_runner.sample(random_actions=True) - # Assert length of all fragments is `rollout_fragment_length`. - self.assertEqual( - sum(len(e) for e in episodes), - config.num_envs_per_env_runner * config.rollout_fragment_length, - ) - env_runner.stop() - def test_distributed_env_runner(self): """Tests, whether SingleAgentEnvRunner can be distributed.""" @@ -144,11 +79,56 @@ def test_distributed_env_runner(self): ], ) - @patch("ray.rllib.env.env_runner.logger") + def test_sample(self): + config = ( + AlgorithmConfig() + .environment("CartPole-v1") + .env_runners( + num_envs_per_env_runner=2, + rollout_fragment_length=64, + ) + ) + env_runner = SingleAgentEnvRunner(config=config) + + # Expect error if both num_timesteps and num_episodes given. + self.assertRaises( + AssertionError, + lambda: env_runner.sample( + num_timesteps=10, num_episodes=10, random_actions=True + ), + ) + + # Sample 10 episodes (5 per env, because num_envs_per_env_runner=2) + # Repeat 100 times + for _ in range(100): + episodes = env_runner.sample(num_episodes=10, random_actions=True) + check(len(episodes), 10) + # Since we sampled complete episodes, there should be no ongoing episodes + # being returned. + self.assertTrue(all(e.is_done for e in episodes)) + + # Sample 10 timesteps (5 per env) + # Repeat 100 times + for _ in range(100): + episodes = env_runner.sample(num_timesteps=10, random_actions=True) + # Check the sum of lengths of all episodes returned. + sum_ = sum(map(len, episodes)) + self.assertTrue(sum_ in [10, 11]) + + # Sample rollout_fragment_length=64, 100 times + # Repeat 100 times + for _ in range(100): + episodes = env_runner.sample(random_actions=True) + # Check, whether the sum of lengths of all episodes returned is 128 + # 2 (num_env_per_worker) * 64 (rollout_fragment_length). + sum_ = sum(map(len, episodes)) + self.assertTrue(sum_ in [128, 129]) + + @patch(target="ray.rllib.env.env_runner.logger") def test_step_failed_reset_required(self, mock_logger): """Tests, whether SingleAgentEnvRunner can handle StepFailedResetRequired.""" - # Define an env that raises StepFailedResetRequired + # Define an env that raises StepFailedResetRequired class ErrorRaisingEnv(gym.Env): def __init__(self, config=None): # As per gymnasium standard, provide observation and action spaces in your @@ -192,6 +172,29 @@ def step(self, action): assert mock_logger.exception.call_count == 1 + def test_vector_env(self): + """Tests, whether SingleAgentEnvRunner can run various vectorized envs.""" + + for env in ["CartPole-v1", SimpleCorridor, "tune-registered"]: + config = ( + AlgorithmConfig() + .environment(env) + .env_runners( + num_envs_per_env_runner=5, + rollout_fragment_length=10, + ) + ) + + env_runner = SingleAgentEnvRunner(config=config) + + # Sample with the async-vectorized env. + episodes = env_runner.sample(random_actions=True) + self.assertEqual( + sum(len(e) for e in episodes), + config.num_envs_per_env_runner * config.rollout_fragment_length, + ) + env_runner.stop() + if __name__ == "__main__": import pytest diff --git a/rllib/examples/envs/classes/simple_corridor.py b/rllib/examples/envs/classes/simple_corridor.py index 9088f73dbd37..5ab5b976bc5f 100644 --- a/rllib/examples/envs/classes/simple_corridor.py +++ b/rllib/examples/envs/classes/simple_corridor.py @@ -1,6 +1,10 @@ +import logging + import gymnasium as gym -from gymnasium.spaces import Box, Discrete import numpy as np +from gymnasium.spaces import Box, Discrete + +logger = logging.getLogger("ray.rllib") class SimpleCorridor(gym.Env): @@ -20,7 +24,7 @@ def __init__(self, config=None): def set_corridor_length(self, length): self.end_pos = length - print(f"Set corridor length to {self.end_pos}") + logger.info(f"Set corridor length to {self.end_pos}") assert self.end_pos <= 999, "The maximum `corridor_length` allowed is 999!" def reset(self, *, seed=None, options=None): From 846105db6d34a68b8c33767293488b2ecfc12e77 Mon Sep 17 00:00:00 2001 From: Kamil Kaczmarek Date: Thu, 18 Sep 2025 02:55:30 -0700 Subject: [PATCH 1265/1566] remove PyBullet (#56698) ## Why are these changes needed? Drop support for bullet. ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [x] This PR is not tested :( Signed-off-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/env/utils/__init__.py | 17 ++++------------- rllib/utils/error.py | 1 - 2 files changed, 4 insertions(+), 14 deletions(-) diff --git a/rllib/env/utils/__init__.py b/rllib/env/utils/__init__.py index 09dfbe227e5a..d0186ab489c1 100644 --- a/rllib/env/utils/__init__.py +++ b/rllib/env/utils/__init__.py @@ -75,8 +75,8 @@ def _gym_env_creator( """Tries to create a gym env given an EnvContext object and descriptor. Note: This function tries to construct the env from a string descriptor - only using possibly installed RL env packages (such as gym, pybullet_envs, - etc). These packages are no installation requirements for RLlib. In case + only using possibly installed RL env packages (such as gymnasium). + These packages are no installation requirements for RLlib. In case you would like to support more such env packages, add the necessary imports and construction logic below. @@ -84,8 +84,8 @@ def _gym_env_creator( env_context: The env context object to configure the env. Note that this is a config dict, plus the properties: `worker_index`, `vector_index`, and `remote`. - env_descriptor: The env descriptor as a gym-registered string, e.g. CartPole-v1, - ALE/MsPacman-v5, or CartPoleContinuousBulletEnv-v0. + env_descriptor: The env descriptor as a gym-registered string, e.g. + "CartPole-v1", "ale_py:ALE/Breakout-v5". Alternatively, the gym.Env subclass to use. Returns: @@ -94,15 +94,6 @@ def _gym_env_creator( Raises: gym.error.Error: If the env cannot be constructed. """ - # Allow for PyBullet or envs to be used as well (via string). This allows - # for doing things like `env=CartPoleContinuousBulletEnv-v0`. - try: - import pybullet_envs - - pybullet_envs.getList() - except (AttributeError, ModuleNotFoundError, ImportError): - pass - # If env descriptor is a str, starting with "ale_py:ALE/", for now, register all ALE # envs from ale_py. if isinstance(env_descriptor, str) and env_descriptor.startswith("ale_py:ALE/"): diff --git a/rllib/utils/error.py b/rllib/utils/error.py index e2c1773ce3d0..f66952aadfbe 100644 --- a/rllib/utils/error.py +++ b/rllib/utils/error.py @@ -47,7 +47,6 @@ class NotSerializable(Exception): Try one of the following: a) For Atari support: `pip install gym[atari] autorom[accept-rom-license]`. - For PyBullet support: `pip install pybullet`. b) To register your custom env, do `from ray import tune; tune.register_env('[name]', lambda cfg: [return env obj from here using cfg])`. Then in your config, do `config.environment(env='[name]'). From 5b2623c0cca5aa277c0ef350f68f75a39b823ab7 Mon Sep 17 00:00:00 2001 From: zhilong <121425509+Bye-legumes@users.noreply.github.com> Date: Thu, 18 Sep 2025 18:39:40 +0800 Subject: [PATCH 1266/1566] [dashboard] Use pynvml for GPU metrics (#56000) Signed-off-by: zhaoch23 Signed-off-by: zhilong <121425509+Bye-legumes@users.noreply.github.com> Signed-off-by: zhilong Co-authored-by: zhaoch23 Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/_private/ray_constants.py | 5 - .../_private/thirdparty/pynvml/__init__.py | 3 +- .../ray/_private/thirdparty/pynvml/pynvml.py | 3580 ++++++++++++++++- .../modules/reporter/gpu_providers.py | 187 +- .../modules/reporter/tests/test_reporter.py | 365 -- 5 files changed, 3463 insertions(+), 677 deletions(-) diff --git a/python/ray/_private/ray_constants.py b/python/ray/_private/ray_constants.py index c161a95c38f9..453987a2adfb 100644 --- a/python/ray/_private/ray_constants.py +++ b/python/ray/_private/ray_constants.py @@ -568,11 +568,6 @@ def gcs_actor_scheduling_enabled(): # WorkerId will be removed from all metrics. RAY_METRIC_CARDINALITY_LEVEL = os.environ.get("RAY_metric_cardinality_level", "legacy") -# Whether GPU metrics collection via `nvidia-smi` is enabled. -# Controlled by the environment variable `RAY_metric_enable_gpu_nvsmi`. -# Defaults to False to use pynvml to collect usage. -RAY_METRIC_ENABLE_GPU_NVSMI = env_bool("RAY_metric_enable_gpu_nvsmi", False) - # Whether enable OpenTelemetry as the metrics collection backend. The default is # using OpenCensus. RAY_ENABLE_OPEN_TELEMETRY = env_bool("RAY_enable_open_telemetry", False) diff --git a/python/ray/_private/thirdparty/pynvml/__init__.py b/python/ray/_private/thirdparty/pynvml/__init__.py index 1b674aebf667..fe773c4fca25 100644 --- a/python/ray/_private/thirdparty/pynvml/__init__.py +++ b/python/ray/_private/thirdparty/pynvml/__init__.py @@ -1,4 +1,3 @@ from ray._private.thirdparty.pynvml.pynvml import * # nvdia-ml-py version -# Note: we pick this version to use the V2 API which is supported by older drivers -__version__ = "11.495.46" +__version__ = "13.580.65" diff --git a/python/ray/_private/thirdparty/pynvml/pynvml.py b/python/ray/_private/thirdparty/pynvml/pynvml.py index e0092f8d3c2a..4db9754a1bb1 100644 --- a/python/ray/_private/thirdparty/pynvml/pynvml.py +++ b/python/ray/_private/thirdparty/pynvml/pynvml.py @@ -1,5 +1,5 @@ ##### -# Copyright (c) 2011-2021, NVIDIA Corporation. All rights reserved. +# Copyright (c) 2011-2025, NVIDIA Corporation. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: @@ -31,6 +31,7 @@ ## from ctypes import * from ctypes.util import find_library +from functools import wraps import sys import os import threading @@ -43,24 +44,25 @@ NVML_FEATURE_ENABLED = 1 _nvmlBrandType_t = c_uint -NVML_BRAND_UNKNOWN = 0 -NVML_BRAND_QUADRO = 1 -NVML_BRAND_TESLA = 2 -NVML_BRAND_NVS = 3 -NVML_BRAND_GRID = 4 # Deprecated from API reporting. Keeping definition for backward compatibility. -NVML_BRAND_GEFORCE = 5 -NVML_BRAND_TITAN = 6 -NVML_BRAND_NVIDIA_VAPPS = 7 # NVIDIA Virtual Applications -NVML_BRAND_NVIDIA_VPC = 8 # NVIDIA Virtual PC -NVML_BRAND_NVIDIA_VCS = 9 # NVIDIA Virtual Compute Server -NVML_BRAND_NVIDIA_VWS = 10 # NVIDIA RTX Virtual Workstation -NVML_BRAND_NVIDIA_VGAMING = 11 # NVIDIA vGaming -NVML_BRAND_QUADRO_RTX = 12 -NVML_BRAND_NVIDIA_RTX = 13 -NVML_BRAND_NVIDIA = 14 -NVML_BRAND_GEFORCE_RTX = 15 # Unused -NVML_BRAND_TITAN_RTX = 16 # Unused -NVML_BRAND_COUNT = 17 +NVML_BRAND_UNKNOWN = 0 +NVML_BRAND_QUADRO = 1 +NVML_BRAND_TESLA = 2 +NVML_BRAND_NVS = 3 +NVML_BRAND_GRID = 4 # Deprecated from API reporting. Keeping definition for backward compatibility. +NVML_BRAND_GEFORCE = 5 +NVML_BRAND_TITAN = 6 +NVML_BRAND_NVIDIA_VAPPS = 7 # NVIDIA Virtual Applications +NVML_BRAND_NVIDIA_VPC = 8 # NVIDIA Virtual PC +NVML_BRAND_NVIDIA_VCS = 9 # NVIDIA Virtual Compute Server +NVML_BRAND_NVIDIA_VWS = 10 # NVIDIA RTX Virtual Workstation +NVML_BRAND_NVIDIA_CLOUD_GAMING = 11 # NVIDIA Cloud Gaming +NVML_BRAND_NVIDIA_VGAMING = NVML_BRAND_NVIDIA_CLOUD_GAMING # Deprecated from API reporting. Keeping definition for backward compatibility. +NVML_BRAND_QUADRO_RTX = 12 +NVML_BRAND_NVIDIA_RTX = 13 +NVML_BRAND_NVIDIA = 14 +NVML_BRAND_GEFORCE_RTX = 15 # Unused +NVML_BRAND_TITAN_RTX = 16 # Unused +NVML_BRAND_COUNT = 18 _nvmlTemperatureThresholds_t = c_uint NVML_TEMPERATURE_THRESHOLD_SHUTDOWN = 0 @@ -70,12 +72,14 @@ NVML_TEMPERATURE_THRESHOLD_ACOUSTIC_MIN = 4 NVML_TEMPERATURE_THRESHOLD_ACOUSTIC_CURR = 5 NVML_TEMPERATURE_THRESHOLD_ACOUSTIC_MAX = 6 -NVML_TEMPERATURE_THRESHOLD_COUNT = 7 +NVML_TEMPERATURE_THRESHOLD_GPS_CURR = 7 +NVML_TEMPERATURE_THRESHOLD_COUNT = 8 _nvmlTemperatureSensors_t = c_uint NVML_TEMPERATURE_GPU = 0 NVML_TEMPERATURE_COUNT = 1 + _nvmlComputeMode_t = c_uint NVML_COMPUTEMODE_DEFAULT = 0 NVML_COMPUTEMODE_EXCLUSIVE_THREAD = 1 ## Support Removed @@ -95,7 +99,7 @@ NVML_MEMORY_LOCATION_SRAM = 7 NVML_MEMORY_LOCATION_COUNT = 8 -NVML_NVLINK_MAX_LINKS = 12 +NVML_NVLINK_MAX_LINKS = 18 # For backwards compatibility, maintain the incorrectly-named "LANES" define NVML_NVLINK_MAX_LANES = NVML_NVLINK_MAX_LINKS @@ -181,6 +185,9 @@ _nvmlDriverModel_t = c_uint NVML_DRIVER_WDDM = 0 NVML_DRIVER_WDM = 1 +NVML_DRIVER_MCDM = 2 + +NVML_MAX_GPU_PERF_PSTATES = 16 _nvmlPstates_t = c_uint NVML_PSTATE_0 = 0 @@ -205,40 +212,51 @@ NVML_INFOROM_OEM = 0 NVML_INFOROM_ECC = 1 NVML_INFOROM_POWER = 2 -NVML_INFOROM_COUNT = 3 +NVML_INFOROM_DEN = 3 +NVML_INFOROM_COUNT = 4 _nvmlReturn_t = c_uint -NVML_SUCCESS = 0 -NVML_ERROR_UNINITIALIZED = 1 -NVML_ERROR_INVALID_ARGUMENT = 2 -NVML_ERROR_NOT_SUPPORTED = 3 -NVML_ERROR_NO_PERMISSION = 4 -NVML_ERROR_ALREADY_INITIALIZED = 5 -NVML_ERROR_NOT_FOUND = 6 -NVML_ERROR_INSUFFICIENT_SIZE = 7 -NVML_ERROR_INSUFFICIENT_POWER = 8 -NVML_ERROR_DRIVER_NOT_LOADED = 9 -NVML_ERROR_TIMEOUT = 10 -NVML_ERROR_IRQ_ISSUE = 11 -NVML_ERROR_LIBRARY_NOT_FOUND = 12 -NVML_ERROR_FUNCTION_NOT_FOUND = 13 -NVML_ERROR_CORRUPTED_INFOROM = 14 -NVML_ERROR_GPU_IS_LOST = 15 -NVML_ERROR_RESET_REQUIRED = 16 -NVML_ERROR_OPERATING_SYSTEM = 17 -NVML_ERROR_LIB_RM_VERSION_MISMATCH = 18 -NVML_ERROR_IN_USE = 19 -NVML_ERROR_MEMORY = 20 -NVML_ERROR_NO_DATA = 21 -NVML_ERROR_VGPU_ECC_NOT_SUPPORTED = 22 -NVML_ERROR_INSUFFICIENT_RESOURCES = 23 -NVML_ERROR_FREQ_NOT_SUPPORTED = 24 -NVML_ERROR_UNKNOWN = 999 +NVML_SUCCESS = 0 +NVML_ERROR_UNINITIALIZED = 1 +NVML_ERROR_INVALID_ARGUMENT = 2 +NVML_ERROR_NOT_SUPPORTED = 3 +NVML_ERROR_NO_PERMISSION = 4 +NVML_ERROR_ALREADY_INITIALIZED = 5 +NVML_ERROR_NOT_FOUND = 6 +NVML_ERROR_INSUFFICIENT_SIZE = 7 +NVML_ERROR_INSUFFICIENT_POWER = 8 +NVML_ERROR_DRIVER_NOT_LOADED = 9 +NVML_ERROR_TIMEOUT = 10 +NVML_ERROR_IRQ_ISSUE = 11 +NVML_ERROR_LIBRARY_NOT_FOUND = 12 +NVML_ERROR_FUNCTION_NOT_FOUND = 13 +NVML_ERROR_CORRUPTED_INFOROM = 14 +NVML_ERROR_GPU_IS_LOST = 15 +NVML_ERROR_RESET_REQUIRED = 16 +NVML_ERROR_OPERATING_SYSTEM = 17 +NVML_ERROR_LIB_RM_VERSION_MISMATCH = 18 +NVML_ERROR_IN_USE = 19 +NVML_ERROR_MEMORY = 20 +NVML_ERROR_NO_DATA = 21 +NVML_ERROR_VGPU_ECC_NOT_SUPPORTED = 22 +NVML_ERROR_INSUFFICIENT_RESOURCES = 23 +NVML_ERROR_FREQ_NOT_SUPPORTED = 24 +NVML_ERROR_ARGUMENT_VERSION_MISMATCH = 25 +NVML_ERROR_DEPRECATED = 26 +NVML_ERROR_NOT_READY = 27 +NVML_ERROR_GPU_NOT_FOUND = 28 +NVML_ERROR_INVALID_STATE = 29 +NVML_ERROR_RESET_TYPE_NOT_SUPPORTED = 30 +NVML_ERROR_UNKNOWN = 999 _nvmlFanState_t = c_uint NVML_FAN_NORMAL = 0 NVML_FAN_FAILED = 1 +_nvmlFanControlPolicy_t = c_uint +NVML_FAN_POLICY_TEMPERATURE_CONTINOUS_SW = 0 +NVML_FAN_POLICY_MANUAL = 1 + _nvmlLedColor_t = c_uint NVML_LED_COLOR_GREEN = 0 NVML_LED_COLOR_AMBER = 1 @@ -269,7 +287,19 @@ NVML_VALUE_TYPE_UNSIGNED_LONG = 2 NVML_VALUE_TYPE_UNSIGNED_LONG_LONG = 3 NVML_VALUE_TYPE_SIGNED_LONG_LONG = 4 -NVML_VALUE_TYPE_COUNT = 5 +NVML_VALUE_TYPE_SIGNED_INT = 5 +NVML_VALUE_TYPE_UNSIGNED_SHORT = 6 +NVML_VALUE_TYPE_COUNT = 7 + +_nvmlNvlinkVersion_t = c_uint +NVML_NVLINK_VERSION_INVALID = 0 +NVML_NVLINK_VERSION_1_0 = 1 +NVML_NVLINK_VERSION_2_0 = 2 +NVML_NVLINK_VERSION_2_2 = 3 +NVML_NVLINK_VERSION_3_0 = 4 +NVML_NVLINK_VERSION_3_1 = 5 +NVML_NVLINK_VERSION_4_0 = 6 +NVML_NVLINK_VERSION_5_0 = 7 _nvmlPerfPolicyType_t = c_uint NVML_PERF_POLICY_POWER = 0 @@ -285,6 +315,8 @@ _nvmlEncoderQueryType_t = c_uint NVML_ENCODER_QUERY_H264 = 0 NVML_ENCODER_QUERY_HEVC = 1 +NVML_ENCODER_QUERY_AV1 = 2 +NVML_ENCODER_QUERY_UNKNOWN = 255 _nvmlFBCSessionType_t = c_uint NVML_FBC_SESSION_TYPE_UNKNOWN = 0 @@ -309,7 +341,10 @@ NVML_DEC_UTILIZATION_SAMPLES = 4 NVML_PROCESSOR_CLK_SAMPLES = 5 NVML_MEMORY_CLK_SAMPLES = 6 -NVML_SAMPLINGTYPE_COUNT = 7 +NVML_MODULE_POWER_SAMPLES = 7 +NVML_JPG_UTILIZATION_SAMPLES = 8 +NVML_OFA_UTILIZATION_SAMPLES = 9 +NVML_SAMPLINGTYPE_COUNT = 10 _nvmlPcieUtilCounter_t = c_uint NVML_PCIE_UTIL_TX_BYTES = 0 @@ -330,13 +365,18 @@ NVML_P2P_CAPS_INDEX_WRITE = 1 NVML_P2P_CAPS_INDEX_NVLINK =2 NVML_P2P_CAPS_INDEX_ATOMICS = 3 +# +# NVML_P2P_CAPS_INDEX_PROP is deprecated. +# Use NVML_P2P_CAPS_INDEX_PCI instead. +# NVML_P2P_CAPS_INDEX_PROP = 4 -NVML_P2P_CAPS_INDEX_LOOPBACK = 5 -NVML_P2P_CAPS_INDEX_UNKNOWN = 6 +NVML_P2P_CAPS_INDEX_PCI = 4 +NVML_P2P_CAPS_INDEX_UNKNOWN = 5 _nvmlGpuP2PStatus_t = c_uint NVML_P2P_STATUS_OK = 0 NVML_P2P_STATUS_CHIPSET_NOT_SUPPORED = 1 +NVML_P2P_STATUS_CHIPSET_NOT_SUPPORTED = NVML_P2P_STATUS_CHIPSET_NOT_SUPPORED NVML_P2P_STATUS_GPU_NOT_SUPPORTED = 2 NVML_P2P_STATUS_IOH_TOPOLOGY_NOT_SUPPORTED =3 NVML_P2P_STATUS_DISABLED_BY_REGKEY =4 @@ -350,6 +390,9 @@ NVML_DEVICE_ARCH_VOLTA = 5 NVML_DEVICE_ARCH_TURING = 6 NVML_DEVICE_ARCH_AMPERE = 7 +NVML_DEVICE_ARCH_ADA = 8 +NVML_DEVICE_ARCH_HOPPER = 9 +NVML_DEVICE_ARCH_BLACKWELL = 10 NVML_DEVICE_ARCH_UNKNOWN = 0xffffffff # PCI bus Types @@ -360,15 +403,51 @@ NVML_BUS_TYPE_FPCI = 3 NVML_BUS_TYPE_AGP = 4 +_nvmlPowerSource_t = c_uint +NVML_POWER_SOURCE_AC = 0x00000000 +NVML_POWER_SOURCE_BATTERY = 0x00000001 +NVML_POWER_SOURCE_UNDERSIZED = 0x00000002 + +_nvmlAdaptiveClockInfoStatus_t = c_uint +NVML_ADAPTIVE_CLOCKING_INFO_STATUS_DISABLED = 0x00000000 +NVML_ADAPTIVE_CLOCKING_INFO_STATUS_ENABLED = 0x00000001 + _nvmlClockLimitId_t = c_uint NVML_CLOCK_LIMIT_ID_RANGE_START = 0xffffff00 NVML_CLOCK_LIMIT_ID_TDP = 0xffffff01 NVML_CLOCK_LIMIT_ID_UNLIMITED = 0xffffff02 +_nvmlPcieLinkMaxSpeed_t = c_uint +NVML_PCIE_LINK_MAX_SPEED_INVALID = 0x00000000 +NVML_PCIE_LINK_MAX_SPEED_2500MBPS = 0x00000001 +NVML_PCIE_LINK_MAX_SPEED_5000MBPS = 0x00000002 +NVML_PCIE_LINK_MAX_SPEED_8000MBPS = 0x00000003 +NVML_PCIE_LINK_MAX_SPEED_16000MBPS = 0x00000004 +NVML_PCIE_LINK_MAX_SPEED_32000MBPS = 0x00000005 +NVML_PCIE_LINK_MAX_SPEED_64000MBPS = 0x00000006 + +_nvmlPcieAtomicsCapability_t = c_uint +NVML_PCIE_ATOMICS_CAP_FETCHADD32 = 0x01 +NVML_PCIE_ATOMICS_CAP_FETCHADD64 = 0x02 +NVML_PCIE_ATOMICS_CAP_SWAP32 = 0x04 +NVML_PCIE_ATOMICS_CAP_SWAP64 = 0x08 +NVML_PCIE_ATOMICS_CAP_CAS32 = 0x10 +NVML_PCIE_ATOMICS_CAP_CAS64 = 0x20 +NVML_PCIE_ATOMICS_CAP_CAS128 = 0x40 +NVML_PCIE_ATOMICS_OPS_MAX = 7 + _nvmlAffinityScope_t = c_uint NVML_AFFINITY_SCOPE_NODE = 0 NVML_AFFINITY_SCOPE_SOCKET = 1 +_nvmlDeviceGpuRecoveryAction_t = c_uint +NVML_GPU_RECOVERY_ACTION_NONE = 0 +NVML_GPU_RECOVERY_ACTION_GPU_RESET = 1 +NVML_GPU_RECOVERY_ACTION_NODE_REBOOT = 2 +NVML_GPU_RECOVERY_ACTION_DRAIN_P2P = 3 +NVML_GPU_RECOVERY_ACTION_DRAIN_AND_RESET = 4 +NVML_GPU_RECOVERY_ACTION_GPU_RESET_BUS = 5 + # C preprocessor defined values nvmlFlagDefault = 0 nvmlFlagForce = 1 @@ -384,8 +463,10 @@ NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE = 80 NVML_SYSTEM_NVML_VERSION_BUFFER_SIZE = 80 NVML_DEVICE_NAME_BUFFER_SIZE = 64 +NVML_DEVICE_NAME_V2_BUFFER_SIZE = 96 NVML_DEVICE_SERIAL_BUFFER_SIZE = 30 NVML_DEVICE_PART_NUMBER_BUFFER_SIZE = 80 +NVML_DEVICE_GPU_PART_NUMBER_BUFFER_SIZE = 80 NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE = 32 NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE = 32 NVML_DEVICE_PCI_BUS_ID_BUFFER_V2_SIZE = 16 @@ -394,6 +475,8 @@ NVML_GRID_LICENSE_FEATURE_MAX_COUNT = 3 NVML_VGPU_METADATA_OPAQUE_DATA_SIZE = sizeof(c_uint) + 256 NVML_VGPU_PGPU_METADATA_OPAQUE_DATA_SIZE = 256 +NVML_DEVICE_GPU_FRU_PART_NUMBER_BUFFER_SIZE = 0x14 # NV2080_GPU_MAX_PRODUCT_PART_NUMBER_LENGTH +NVML_PERF_MODES_BUFFER_SIZE = 2048 # Format strings NVML_DEVICE_PCI_BUS_ID_LEGACY_FMT = "%04X:%02X:%02X.0" @@ -623,7 +706,151 @@ NVML_FI_DEV_NVLINK_ECC_DATA_ERROR_COUNT_L11 = 159 #< NVLink data ECC Error Counter for Link 11 NVML_FI_DEV_NVLINK_ECC_DATA_ERROR_COUNT_TOTAL = 160 #< NvLink data ECC Error Counter total for all Links -NVML_FI_MAX = 161 # One greater than the largest field ID defined above +NVML_FI_DEV_NVLINK_ERROR_DL_REPLAY = 161 +NVML_FI_DEV_NVLINK_ERROR_DL_RECOVERY = 162 +NVML_FI_DEV_NVLINK_ERROR_DL_CRC = 163 +NVML_FI_DEV_NVLINK_GET_SPEED = 164 +NVML_FI_DEV_NVLINK_GET_STATE = 165 +NVML_FI_DEV_NVLINK_GET_VERSION = 166 + +NVML_FI_DEV_NVLINK_GET_POWER_STATE = 167 +NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD = 168 + +NVML_FI_DEV_PCIE_L0_TO_RECOVERY_COUNTER = 169 + +NVML_FI_DEV_C2C_LINK_COUNT = 170 +NVML_FI_DEV_C2C_LINK_GET_STATUS = 171 +NVML_FI_DEV_C2C_LINK_GET_MAX_BW = 172 + +NVML_FI_DEV_PCIE_COUNT_CORRECTABLE_ERRORS = 173 +NVML_FI_DEV_PCIE_COUNT_NAKS_RECEIVED = 174 +NVML_FI_DEV_PCIE_COUNT_RECEIVER_ERROR = 175 +NVML_FI_DEV_PCIE_COUNT_BAD_TLP = 176 +NVML_FI_DEV_PCIE_COUNT_NAKS_SENT = 177 +NVML_FI_DEV_PCIE_COUNT_BAD_DLLP = 178 +NVML_FI_DEV_PCIE_COUNT_NON_FATAL_ERROR = 179 +NVML_FI_DEV_PCIE_COUNT_FATAL_ERROR = 180 +NVML_FI_DEV_PCIE_COUNT_UNSUPPORTED_REQ = 181 +NVML_FI_DEV_PCIE_COUNT_LCRC_ERROR = 182 +NVML_FI_DEV_PCIE_COUNT_LANE_ERROR = 183 + +NVML_FI_DEV_IS_RESETLESS_MIG_SUPPORTED = 184 + +NVML_FI_DEV_POWER_AVERAGE = 185 +NVML_FI_DEV_POWER_INSTANT = 186 +NVML_FI_DEV_POWER_MIN_LIMIT = 187 +NVML_FI_DEV_POWER_MAX_LIMIT = 188 +NVML_FI_DEV_POWER_DEFAULT_LIMIT = 189 +NVML_FI_DEV_POWER_CURRENT_LIMIT = 190 +NVML_FI_DEV_ENERGY = 191 +NVML_FI_DEV_POWER_REQUESTED_LIMIT = 192 + +NVML_FI_DEV_TEMPERATURE_SHUTDOWN_TLIMIT = 193 +NVML_FI_DEV_TEMPERATURE_SLOWDOWN_TLIMIT = 194 +NVML_FI_DEV_TEMPERATURE_MEM_MAX_TLIMIT = 195 +NVML_FI_DEV_TEMPERATURE_GPU_MAX_TLIMIT = 196 + +NVML_FI_DEV_PCIE_COUNT_TX_BYTES = 197 +NVML_FI_DEV_PCIE_COUNT_RX_BYTES = 198 + +NVML_FI_DEV_IS_MIG_MODE_INDEPENDENT_MIG_QUERY_CAPABLE = 199 + +NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_MAX = 200 + +NVML_FI_DEV_NVLINK_COUNT_XMIT_PACKETS = 201 +NVML_FI_DEV_NVLINK_COUNT_XMIT_BYTES = 202 +NVML_FI_DEV_NVLINK_COUNT_RCV_PACKETS = 203 +NVML_FI_DEV_NVLINK_COUNT_RCV_BYTES = 204 +NVML_FI_DEV_NVLINK_COUNT_VL15_DROPPED = 205 # Deprecated, do not use +NVML_FI_DEV_NVLINK_COUNT_MALFORMED_PACKET_ERRORS = 206 +NVML_FI_DEV_NVLINK_COUNT_BUFFER_OVERRUN_ERRORS = 207 +NVML_FI_DEV_NVLINK_COUNT_RCV_ERRORS = 208 +NVML_FI_DEV_NVLINK_COUNT_RCV_REMOTE_ERRORS = 209 +NVML_FI_DEV_NVLINK_COUNT_RCV_GENERAL_ERRORS = 210 +NVML_FI_DEV_NVLINK_COUNT_LOCAL_LINK_INTEGRITY_ERRORS = 211 +NVML_FI_DEV_NVLINK_COUNT_XMIT_DISCARDS = 212 + +NVML_FI_DEV_NVLINK_COUNT_LINK_RECOVERY_SUCCESSFUL_EVENTS = 213 +NVML_FI_DEV_NVLINK_COUNT_LINK_RECOVERY_FAILED_EVENTS = 214 +NVML_FI_DEV_NVLINK_COUNT_LINK_RECOVERY_EVENTS = 215 + +NVML_FI_DEV_NVLINK_COUNT_RAW_BER_LANE0 = 216 # Deprecated, do not use +NVML_FI_DEV_NVLINK_COUNT_RAW_BER_LANE1 = 217 # Deprecated, do not use +NVML_FI_DEV_NVLINK_COUNT_RAW_BER = 218 # Deprecated, do not use +NVML_FI_DEV_NVLINK_COUNT_EFFECTIVE_ERRORS = 219 +NVML_FI_DEV_NVLINK_COUNT_EFFECTIVE_BER = 220 +NVML_FI_DEV_NVLINK_COUNT_SYMBOL_ERRORS = 221 +NVML_FI_DEV_NVLINK_COUNT_SYMBOL_BER = 222 + +NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_MIN = 223 +NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_UNITS = 224 # Values are in the form NVML_NVLINK_LOW_POWER_THRESHOLD_UNIT_* +NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_SUPPORTED = 225 + +NVML_FI_DEV_RESET_STATUS = 226 # Deprecated use NVML_FI_DEV_GET_GPU_RECOVERY_ACTION instead +NVML_FI_DEV_DRAIN_AND_RESET_STATUS = 227 # Deprecated use NVML_FI_DEV_GET_GPU_RECOVERY_ACTION instead +NVML_FI_DEV_PCIE_OUTBOUND_ATOMICS_MASK = 228 +NVML_FI_DEV_PCIE_INBOUND_ATOMICS_MASK = 229 +NVML_FI_DEV_GET_GPU_RECOVERY_ACTION = 230 + +NVML_FI_DEV_C2C_LINK_ERROR_INTR = 231 +NVML_FI_DEV_C2C_LINK_ERROR_REPLAY = 232 +NVML_FI_DEV_C2C_LINK_ERROR_REPLAY_B2B = 233 +NVML_FI_DEV_C2C_LINK_POWER_STATE = 234 + +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_0 = 235 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_1 = 236 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_2 = 237 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_3 = 238 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_4 = 239 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_5 = 240 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_6 = 241 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_7 = 242 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_8 = 243 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_9 = 244 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_10 = 245 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_11 = 246 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_12 = 247 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_13 = 248 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_14 = 249 +NVML_FI_DEV_NVLINK_COUNT_FEC_HISTORY_15 = 250 +NVML_FI_DEV_CLOCKS_EVENT_REASON_SW_POWER_CAP = NVML_FI_DEV_PERF_POLICY_POWER +NVML_FI_DEV_CLOCKS_EVENT_REASON_SYNC_BOOST = NVML_FI_DEV_PERF_POLICY_SYNC_BOOST +NVML_FI_DEV_CLOCKS_EVENT_REASON_SW_THERM_SLOWDOWN = 251 +NVML_FI_DEV_CLOCKS_EVENT_REASON_HW_THERM_SLOWDOWN = 252 +NVML_FI_DEV_CLOCKS_EVENT_REASON_HW_POWER_BRAKE_SLOWDOWN = 253 +NVML_FI_DEV_POWER_SYNC_BALANCING_FREQ = 254 +NVML_FI_DEV_POWER_SYNC_BALANCING_AF = 255 +NVML_FI_PWR_SMOOTHING_ENABLED = 256 # Enablement (0/DISABLED or 1/ENABLED) +NVML_FI_PWR_SMOOTHING_PRIV_LVL = 257 # Current privilege level +NVML_FI_PWR_SMOOTHING_IMM_RAMP_DOWN_ENABLED = 258 # Immediate ramp down enablement (0/DISABLED or 1/ENABLED) +NVML_FI_PWR_SMOOTHING_APPLIED_TMP_CEIL = 259 # Applied TMP ceiling value +NVML_FI_PWR_SMOOTHING_APPLIED_TMP_FLOOR = 260 # Applied TMP floor value +NVML_FI_PWR_SMOOTHING_MAX_PERCENT_TMP_FLOOR_SETTING = 261 # Max % TMP Floor value +NVML_FI_PWR_SMOOTHING_MIN_PERCENT_TMP_FLOOR_SETTING = 262 # Min % TMP Floor value +NVML_FI_PWR_SMOOTHING_HW_CIRCUITRY_PERCENT_LIFETIME_REMAINING = 263 # HW Circuitry % lifetime remaining +NVML_FI_PWR_SMOOTHING_MAX_NUM_PRESET_PROFILES = 264 # Max number of preset profiles +NVML_FI_PWR_SMOOTHING_PROFILE_PERCENT_TMP_FLOOR = 265 # % TMP floor for a given profile +NVML_FI_PWR_SMOOTHING_PROFILE_RAMP_UP_RATE = 266 # Ramp up rate in mW/s for a given profile +NVML_FI_PWR_SMOOTHING_PROFILE_RAMP_DOWN_RATE = 267 # Ramp down rate in mW/s for a given profile +NVML_FI_PWR_SMOOTHING_PROFILE_RAMP_DOWN_HYST_VAL = 268 # Ramp down hysteresis value in ms for a given profile +NVML_FI_PWR_SMOOTHING_ACTIVE_PRESET_PROFILE = 269 # Active preset profile number +NVML_FI_PWR_SMOOTHING_ADMIN_OVERRIDE_PERCENT_TMP_FLOOR = 270 # % TMP floor for a given profile +NVML_FI_PWR_SMOOTHING_ADMIN_OVERRIDE_RAMP_UP_RATE = 271 # Ramp up rate in mW/s for a given profile +NVML_FI_PWR_SMOOTHING_ADMIN_OVERRIDE_RAMP_DOWN_RATE = 272 # Ramp down rate in mW/s for a given profile +NVML_FI_PWR_SMOOTHING_ADMIN_OVERRIDE_RAMP_DOWN_HYST_VAL = 273 # Ramp down hysteresis value in ms for a given profile +NVML_FI_MAX = 274 # One greater than the largest field ID defined above + +# NVML_FI_DEV_NVLINK_GET_STATE state enums +NVML_NVLINK_STATE_INACTIVE = 0x0 +NVML_NVLINK_STATE_ACTIVE = 0x1 +NVML_NVLINK_STATE_SLEEP = 0x2 + +NVML_NVLINK_LOW_POWER_THRESHOLD_UNIT_100US = 0 # NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_UNITS +NVML_NVLINK_LOW_POWER_THRESHOLD_UNIT_50US = 1 # NVML_FI_DEV_NVLINK_GET_POWER_THRESHOLD_UNITS + +# NVML_FI_DEV_C2C_LINK_POWER_STATE state enums +NVML_C2C_POWER_STATE_FULL_POWER = 0 +NVML_C2C_POWER_STATE_LOW_POWER = 1 ## Enums needed for the method nvmlDeviceGetVirtualizationMode and nvmlDeviceSetVirtualizationMode NVML_GPU_VIRTUALIZATION_MODE_NONE = 0 # Represents Bare Metal GPU @@ -660,6 +887,34 @@ NVML_GRID_LICENSE_EXPIRY_NOT_APPLICABLE = 3, # Expiry not applicable NVML_GRID_LICENSE_EXPIRY_PERMANENT = 4, # Permanent expiry +_nvmlVgpuCapability_t = c_uint +NVML_VGPU_CAP_NVLINK_P2P = 0 # vGPU P2P over NVLink is supported +NVML_VGPU_CAP_GPUDIRECT = 1 # GPUDirect capability is supported +NVML_VGPU_CAP_MULTI_VGPU_EXCLUSIVE = 2 # vGPU profile cannot be mixed with other vGPU profiles in same VM +NVML_VGPU_CAP_EXCLUSIVE_TYPE = 3 # vGPU profile cannot run on a GPU alongside other profiles of different type +NVML_VGPU_CAP_EXCLUSIVE_SIZE = 4 # vGPU profile cannot run on a GPU alongside other profiles of different size +NVML_VGPU_CAP_COUNT = 5 + +_nvmlVgpuDriverCapability_t = c_uint +NVML_VGPU_DRIVER_CAP_HETEROGENEOUS_MULTI_VGPU = 0 # Supports mixing of different vGPU profiles within one guest VM +NVML_VGPU_DRIVER_CAP_WARM_UPDATE = 1 # Supports FSR and warm update of vGPU host driver without terminating the running guest VM +NVML_VGPU_DRIVER_CAP_COUNT = 2 + +_nvmlDeviceVgpuCapability_t = c_uint +NVML_DEVICE_VGPU_CAP_FRACTIONAL_MULTI_VGPU = 0 # Query whether the fractional vGPU profiles on this GPU can be used in multi-vGPU configurations +NVML_DEVICE_VGPU_CAP_HETEROGENEOUS_TIMESLICE_PROFILES = 1 # Query whether the GPU supports concurrent execution of timesliced vGPU profiles of differing types +NVML_DEVICE_VGPU_CAP_HETEROGENEOUS_TIMESLICE_SIZES = 2 # Query whether the GPU supports concurrent execution of timesliced vGPU profiles of differing framebuffer sizes +NVML_DEVICE_VGPU_CAP_READ_DEVICE_BUFFER_BW = 3 # Query the GPU's read_device_buffer expected bandwidth capacity in megabytes per second +NVML_DEVICE_VGPU_CAP_WRITE_DEVICE_BUFFER_BW = 4 # Query the GPU's write_device_buffer expected bandwidth capacity in megabytes per second +NVML_DEVICE_VGPU_CAP_DEVICE_STREAMING = 5 # Query whether the vGPU profiles on the GPU supports migration data streaming +NVML_DEVICE_VGPU_CAP_MINI_QUARTER_GPU = 6 # Set/Get support of mini-quarter vGPU profiles +NVML_DEVICE_VGPU_CAP_COMPUTE_MEDIA_ENGINE_GPU = 7 # Set/Get support for compute media engine vGPU profiles +NVML_DEVICE_VGPU_CAP_WARM_UPDATE = 8 # Query whether the GPU supports FSR and warm update +NVML_DEVICE_VGPU_CAP_HOMOGENEOUS_PLACEMENTS = 9 # Query whether the GPU supports reporting of placements of timesliced vGPU profiles with identical framebuffer sizes +NVML_DEVICE_VGPU_CAP_MIG_TIMESLICING_SUPPORTED = 10 # Query whether the GPU supports timesliced vGPU on MIG +NVML_DEVICE_VGPU_CAP_MIG_TIMESLICING_ENABLED = 11 # Set/Get MIG timesliced mode reporting, without impacting the underlying functionality +NVML_DEVICE_VGPU_CAP_COUNT = 12 + _nvmlVgpuGuestInfoState_t = c_uint NVML_VGPU_INSTANCE_GUEST_INFO_STATE_UNINITIALIZED = 0 NVML_VGPU_INSTANCE_GUEST_INFO_STATE_INITIALIZED = 1 @@ -682,6 +937,47 @@ NVML_HOST_VGPU_MODE_NON_SRIOV = 0 NVML_HOST_VGPU_MODE_SRIOV = 1 +_nvmlConfComputeGpusReadyState_t = c_uint +NVML_CC_ACCEPTING_CLIENT_REQUESTS_FALSE = 0 +NVML_CC_ACCEPTING_CLIENT_REQUESTS_TRUE = 1 + +_nvmlConfComputeGpuCaps_t = c_uint +NVML_CC_SYSTEM_GPUS_CC_NOT_CAPABLE = 0 +NVML_CC_SYSTEM_GPUS_CC_CAPABLE = 1 + +_nvmlConfComputeCpuCaps_t = c_uint +NVML_CC_SYSTEM_CPU_CAPS_NONE = 0 +NVML_CC_SYSTEM_CPU_CAPS_AMD_SEV = 1 +NVML_CC_SYSTEM_CPU_CAPS_INTEL_TDX = 2 +NVML_CC_SYSTEM_CPU_CAPS_AMD_SEV_SNP = 3 +NVML_CC_SYSTEM_CPU_CAPS_AMD_SNP_VTOM = 4 + +_nvmlConfComputeDevToolsMode_t = c_uint +NVML_CC_SYSTEM_DEVTOOLS_MODE_OFF = 0 +NVML_CC_SYSTEM_DEVTOOLS_MODE_ON = 1 + +NVML_CC_SYSTEM_MULTIGPU_NONE = 0 +NVML_CC_SYSTEM_MULTIGPU_PROTECTED_PCIE = 1 +NVML_CC_SYSTEM_MULTIGPU_NVLE = 2 + +NVML_CC_SYSTEM_ENVIRONMENT_UNAVAILABLE = 0 +NVML_CC_SYSTEM_ENVIRONMENT_SIM = 1 +NVML_CC_SYSTEM_ENVIRONMENT_PROD = 2 + +_nvmlConfComputeCcFeature_t = c_uint +NVML_CC_SYSTEM_FEATURE_DISABLED = 0 +NVML_CC_SYSTEM_FEATURE_ENABLED = 1 + +_nvmlConfComputeCcKeyRotationThreshAttackerAdv_t = c_uint +NVML_CC_KEY_ROTATION_THRESH_ATTACKER_ADVANTAGE_MIN = 50 +NVML_CC_KEY_ROTATION_THRESH_ATTACKER_ADVANTAGE_MAX = 65 + +# GSP firmware +NVML_GSP_FIRMWARE_VERSION_BUF_SIZE = 0x40 + +class NVMLLibraryMismatchError(Exception): + pass + ## Error Checking ## class NVMLError(Exception): _valClassMapping = dict() @@ -750,7 +1046,7 @@ def _extractNVMLErrorsAsClasses(): class_name = "NVMLError_" + string.capwords(err_name.replace("NVML_ERROR_", ""), "_").replace("_", "") err_val = getattr(this_module, err_name) def gen_new(val): - def new(typ): + def new(typ, *args): obj = NVMLError.__new__(typ, val) return obj return new @@ -803,7 +1099,8 @@ def nvmlStructToFriendlyObject(struct): for x in struct._fields_: key = x[0] value = getattr(struct, key) - d[key] = value + # only need to convert from bytes if bytes, no need to check python version. + d[key] = value.decode() if isinstance(value, bytes) else value obj = nvmlFriendlyObject(d) return obj @@ -812,7 +1109,11 @@ def nvmlFriendlyObjectToStruct(obj, model): for x in model._fields_: key = x[0] value = obj.__dict__[key] - setattr(model, key, value) + # any c_char_p in python3 needs to be bytes, default encoding works fine. + if sys.version_info >= (3,): + setattr(model, key, value.encode()) + else: + setattr(model, key, value) return model ## Unit structures @@ -824,9 +1125,8 @@ class _PrintableStructure(Structure): """ Abstract class that produces nicer __str__ output than ctypes.Structure. e.g. instead of: - >> print str(obj) - this class will print + this class will print class_name(field_name: formatted_value, field_name: formatted_value) _fmt_ dictionary of -> @@ -853,6 +1153,25 @@ def __str__(self): result.append(("%s: " + fmt) % (key, value)) return self.__class__.__name__ + "(" + ", ".join(result) + ")" + def __getattribute__(self, name): + res = super(_PrintableStructure, self).__getattribute__(name) + # need to convert bytes to unicode for python3 don't need to for python2 + # Python 2 strings are of both str and bytes + # Python 3 strings are not of type bytes + # ctypes should convert everything to the correct values otherwise + if isinstance(res, bytes): + if isinstance(res, str): + return res + return res.decode() + return res + + def __setattr__(self, name, value): + if isinstance(value, str): + # encoding a python2 string returns the same value, since python2 strings are bytes already + # bytes passed in python3 will be ignored. + value = value.encode() + super(_PrintableStructure, self).__setattr__(name, value) + class c_nvmlUnitInfo_t(_PrintableStructure): _fields_ = [ ('name', c_char * 96), @@ -861,6 +1180,13 @@ class c_nvmlUnitInfo_t(_PrintableStructure): ('firmwareVersion', c_char * 96), ] +class c_nvmlC2cModeInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('isC2cEnabled', c_uint) + ] + +nvmlC2cModeInfo_v1 = 0x1000008; + class c_nvmlLedState_t(_PrintableStructure): _fields_ = [ ('cause', c_char * 256), @@ -892,6 +1218,31 @@ class struct_c_nvmlDevice_t(Structure): pass # opaque handle c_nvmlDevice_t = POINTER(struct_c_nvmlDevice_t) +class nvmlPciInfoExt_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('domain', c_uint), + ('bus', c_uint), + ('device', c_uint), + ('pciDeviceId', c_uint), + ('pciSubSystemId', c_uint), + ('baseClass', c_uint), + ('subClass', c_uint), + ('busId', c_char * NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE), + ] + _fmt_ = { + 'version' : "0x%04X", + 'domain' : "0x%04X", + 'bus' : "0x%02X", + 'device' : "0x%02X", + 'pciDeviceId' : "0x%08X", + 'pciSubSystemId' : "0x%08X", + 'baseClass' : "0x%01X", + 'subClass' : "0x%01X", + } + +nvmlPciInfoExt_v1 = 0x1000040 + # Legacy pciInfo used for _v1 and _v2 class nvmlPciInfo_v2_t(_PrintableStructure): _fields_ = [ @@ -939,6 +1290,14 @@ class nvmlPciInfo_t(_PrintableStructure): 'pciSubSystemId' : "0x%08X", } +class c_nvmlSystemDriverBranchInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ("branch", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), + ] + +SystemDriverBranchInfo_v1 = 0x1000054 + class c_nvmlExcludedDeviceInfo_t(_PrintableStructure): _fields_ = [ ('pci', nvmlPciInfo_t), @@ -959,6 +1318,18 @@ class c_nvmlMemory_t(_PrintableStructure): ] _fmt_ = {'': "%d B"} +class c_nvmlMemory_v2_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('total', c_ulonglong), + ('reserved', c_ulonglong), + ('free', c_ulonglong), + ('used', c_ulonglong), + ] + _fmt_ = {'': "%d B"} + +nvmlMemory_v2 = 0x02000028 + class c_nvmlBAR1Memory_t(_PrintableStructure): _fields_ = [ ('bar1Total', c_ulonglong), @@ -972,10 +1343,12 @@ class nvmlClkMonFaultInfo_t(Structure): ("clkDomainFaultMask", c_uint) ] +MAX_CLK_DOMAINS = 32 + class nvmlClkMonStatus_t(Structure): _fields_ = [("bGlobalStatus", c_uint), ("clkMonListSize", c_uint), - ("clkMonList", nvmlClkMonFaultInfo_t) + ("clkMonList", nvmlClkMonFaultInfo_t * MAX_CLK_DOMAINS) ] # On Windows with the WDDM driver, usedGpuMemory is reported as None @@ -989,7 +1362,7 @@ class nvmlClkMonStatus_t(Structure): # endif # # See NVML documentation for more information -class c_nvmlProcessInfo_t(_PrintableStructure): +class c_nvmlProcessInfo_v2_t(_PrintableStructure): _fields_ = [ ('pid', c_uint), ('usedGpuMemory', c_ulonglong), @@ -998,6 +1371,37 @@ class c_nvmlProcessInfo_t(_PrintableStructure): ] _fmt_ = {'usedGpuMemory': "%d B"} +c_nvmlProcessInfo_v3_t = c_nvmlProcessInfo_v2_t + +c_nvmlProcessInfo_t = c_nvmlProcessInfo_v3_t + +_nvmlProcessMode_t = c_uint +NVML_PROCESS_MODE_COMPUTE = 0 +NVML_PROCESS_MODE_GRAPHICS = 1 +NVML_PROCESS_MODE_MPS = 2 + +class c_nvmlProcessDetail_v1_t(Structure): + _fields_ = [ + ('pid', c_uint), + ('usedGpuMemory', c_ulonglong), + ('gpuInstanceId', c_uint), + ('computeInstanceId', c_uint), + ('usedGpuCcProtectedMemory', c_ulonglong), + ] + +class c_nvmlProcessDetailList_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('mode', _nvmlProcessMode_t), + ('numProcArrayEntries', c_uint), + ('procArray', POINTER(c_nvmlProcessDetail_v1_t)), + ] + _fmt_ = {'numProcArrayEntries': "%d B"} + +c_nvmlProcessDetailList_t = c_nvmlProcessDetailList_v1_t + +nvmlProcessDetailList_v1 = 0x1000018 + class c_nvmlBridgeChipInfo_t(_PrintableStructure): _fields_ = [ ('type', _nvmlBridgeChipType_t), @@ -1039,6 +1443,8 @@ class c_nvmlValue_t(Union): ('ulVal', c_ulong), ('ullVal', c_ulonglong), ('sllVal', c_longlong), + ('siVal', c_int), + ('usVal', c_ushort), ] class c_nvmlSample_t(_PrintableStructure): @@ -1064,6 +1470,89 @@ class c_nvmlFieldValue_t(_PrintableStructure): ('value', c_nvmlValue_t) ] +NVML_NVLINK_TOTAL_SUPPORTED_BW_MODES = 23 + +nvmlNvlinkSupportedBwModes_v1 = 0x100001c +class c_nvmlNvlinkSupportedBwModes_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('bwModes', c_uint8 * NVML_NVLINK_TOTAL_SUPPORTED_BW_MODES), + ('totalBwModes', c_uint8) + ] + + def __init__(self): + super(c_nvmlNvlinkSupportedBwModes_v1_t, self).__init__(version=nvmlNvlinkSupportedBwModes_v1) + +nvmlNvlinkGetBwMode_v1 = 0x100000c +class c_nvmlNvlinkGetBwMode_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('bIsBest', c_uint), + ('bwMode', c_uint8) + ] + + def __init__(self): + super(c_nvmlNvlinkGetBwMode_v1_t, self).__init__(version=nvmlNvlinkGetBwMode_v1) + +nvmlNvlinkSetBwMode_v1 = 0x100000c +class c_nvmlNvlinkSetBwMode_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('bSetBest', c_uint), + ('bwMode', c_uint8) + ] + + def __init__(self): + super(c_nvmlNvlinkSetBwMode_v1_t, self).__init__(version=nvmlNvlinkSetBwMode_v1) + +class c_nvmlVgpuHeterogeneousMode_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('mode', c_uint), + ] + +VgpuHeterogeneousMode_v1 = 0x1000008 + +class c_nvmlVgpuPlacementId_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('placementId', c_uint), + ] + +VgpuPlacementId_v1 = 0x1000008 + +class c_nvmlVgpuPlacementList_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('count', c_uint), + ('placementSize', c_uint), + ('placementIds', POINTER(c_uint)), + ] + +VgpuPlacementList_v1 = 0x1000018 + +NVML_VGPU_PGPU_HETEROGENEOUS_MODE = 0 +NVML_VGPU_PGPU_HOMOGENEOUS_MODE = 1 + +class c_nvmlVgpuPlacementList_v2_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('placementSize', c_uint), + ('count', c_uint), + ('placementIds', POINTER(c_uint)), + ('mode', c_uint), + ] + +VgpuPlacementList_v2 = 0x2000020 + +class c_nvmlVgpuTypeBar1Info_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('bar1Size', c_ulonglong), + ] + +VgpuTypeBar1Info_v1 = 0x1000010 + class c_nvmlVgpuInstanceUtilizationSample_t(_PrintableStructure): _fields_ = [ ('vgpuInstance', _nvmlVgpuInstance_t), @@ -1074,6 +1563,29 @@ class c_nvmlVgpuInstanceUtilizationSample_t(_PrintableStructure): ('decUtil', c_nvmlValue_t), ] +class c_nvmlVgpuInstanceUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('timeStamp', c_ulonglong), + ('vgpuInstance', _nvmlVgpuInstance_t), + ('smUtil', c_nvmlValue_t), + ('memUtil', c_nvmlValue_t), + ('encUtil', c_nvmlValue_t), + ('decUtil', c_nvmlValue_t), + ('jpgUtil', c_nvmlValue_t), + ('ofaUtil', c_nvmlValue_t), + ] + +class c_nvmlVgpuInstancesUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('sampleValType', _nvmlValueType_t), + ('vgpuInstanceCount', c_uint), + ('lastSeenTimeStamp', c_ulonglong), + ('vgpuUtilArray', POINTER(c_nvmlVgpuInstanceUtilizationInfo_v1_t)), + ] + +VgpuInstancesUtilizationInfo_v1 = 0x01000020 + class c_nvmlVgpuProcessUtilizationSample_t(_PrintableStructure): _fields_ = [ ('vgpuInstance', _nvmlVgpuInstance_t), @@ -1086,6 +1598,38 @@ class c_nvmlVgpuProcessUtilizationSample_t(_PrintableStructure): ('decUtil', c_uint), ] +class c_nvmlVgpuProcessUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('processName', c_char * NVML_VGPU_NAME_BUFFER_SIZE), + ('timeStamp', c_ulonglong), + ('vgpuInstance', _nvmlVgpuInstance_t), + ('pid', c_uint), + ('smUtil', c_uint), + ('memUtil', c_uint), + ('encUtil', c_uint), + ('decUtil', c_uint), + ('jpgUtil', c_uint), + ('ofaUtil', c_uint), + ] + +class c_nvmlVgpuProcessesUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('vgpuProcessCount', c_uint), + ('lastSeenTimeStamp', c_ulonglong), + ('vgpuProcUtilArray', POINTER(c_nvmlVgpuProcessUtilizationInfo_v1_t)), + ] + +VgpuProcessesUtilizationInfo_v1 = 0x01000018 + +class nvmlVgpuRuntimeState_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('size', c_ulonglong), + ] + +VgpuRuntimeState_v1 = 0x1000010 + class c_nvmlVgpuLicenseExpiry_t(_PrintableStructure): _fields_ = [ ('year', c_uint32), @@ -1097,10 +1641,18 @@ class c_nvmlVgpuLicenseExpiry_t(_PrintableStructure): ('status', c_uint8), ] +NVML_GRID_LICENSE_STATE_UNKNOWN = 0 +NVML_GRID_LICENSE_STATE_UNINITIALIZED = 1 +NVML_GRID_LICENSE_STATE_UNLICENSED_UNRESTRICTED = 2 +NVML_GRID_LICENSE_STATE_UNLICENSED_RESTRICTED = 3 +NVML_GRID_LICENSE_STATE_UNLICENSED = 4 +NVML_GRID_LICENSE_STATE_LICENSED = 5 + class c_nvmlVgpuLicenseInfo_t(_PrintableStructure): _fields_ = [ ('isLicensed', c_uint8), ('licenseExpiry', c_nvmlVgpuLicenseExpiry_t), + ('currentState', c_uint), ] class c_nvmlEncoderSession_t(_PrintableStructure): @@ -1125,6 +1677,28 @@ class c_nvmlProcessUtilizationSample_t(_PrintableStructure): ('decUtil', c_uint), ] +class c_nvmlProcessUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('timeStamp', c_ulonglong), + ('pid', c_uint), + ('smUtil', c_uint), + ('memUtil', c_uint), + ('encUtil', c_uint), + ('decUtil', c_uint), + ('jpgUtil', c_uint), + ('ofaUtil', c_uint), + ] + +class c_nvmlProcessesUtilizationInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('processSamplesCount', c_uint), + ('lastSeenTimeStamp', c_ulonglong), + ('procUtilArray', POINTER(c_nvmlProcessUtilizationInfo_v1_t)), + ] + +ProcessesUtilizationInfo_v1 = 0x01000018 + class c_nvmlGridLicenseExpiry_t(_PrintableStructure): _fields_ = [ ('year', c_uint32), @@ -1198,20 +1772,154 @@ class c_nvmlGridLicensableFeatures_t(_PrintableStructure): ('gridLicensableFeatures', c_nvmlGridLicensableFeature_t * NVML_GRID_LICENSE_FEATURE_MAX_COUNT), ] +class c_nvmlMarginTemperature_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('marginTemperature', c_int), + ] + +nvmlMarginTemperature_v1 = 0x1000008 + +NVML_DEVICE_UUID_ASCII_LEN = 41 +NVML_DEVICE_UUID_BINARY_LEN = 16 + +NVML_UUID_TYPE_NONE = 0 +NVML_UUID_TYPE_ASCII = 1 +NVML_UUID_TYPE_BINARY = 2 + +class c_nvmlUUIDValue_t(Union): + _fields_ = [ + ('str', c_char * NVML_DEVICE_UUID_ASCII_LEN), + ('bytes', c_ubyte * NVML_DEVICE_UUID_BINARY_LEN), + ] + +nvmlUUID_v1 = 0x1000034 +class c_nvmlUUID_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('type', c_uint), + ('value', c_nvmlUUIDValue_t), + ] + + def __init__(self): + super(c_nvmlUUID_t, self).__init__(version=nvmlUUID_v1) + +nvmlPdi_v1 = 0x1000010 +class c_nvmlPdi_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('value', c_ulonglong), + ] + + def __init__(self): + super(c_nvmlPdi_t, self).__init__(version=nvmlPdi_v1) + +nvmlRepairStatus_v1 = 0x100000C +class c_nvmlRepairStatus_t(_PrintableStructure): + _fields_ = [ + ("version", c_uint), + ("bChannelRepairPending", c_uint), + ("bTpcRepairPending", c_uint), + ] + + def __init__(self): + super(c_nvmlRepairStatus_t, self).__init__(version=nvmlRepairStatus_v1) + +nvmlNvLinkInfo_v1 =0x1000008 +class c_nvmlNvLinkInfo_v1_t(_PrintableStructure): + _fields_ = [ + ("version", c_uint), + ("isNvleEnabled", c_uint), + ] + + def __init__(self): + super(c_nvmlNvLinkInfo_v1_t, self).__init__(version=nvmlNvLinkInfo_v1) + +NVML_NVLINK_FIRMWARE_UCODE_TYPE_MSE = 0x1 +NVML_NVLINK_FIRMWARE_UCODE_TYPE_NETIR = 0x2 +NVML_NVLINK_FIRMWARE_UCODE_TYPE_NETIR_UPHY = 0x3 +NVML_NVLINK_FIRMWARE_UCODE_TYPE_NETIR_CLN = 0x4 +NVML_NVLINK_FIRMWARE_UCODE_TYPE_NETIR_DLN = 0x5 +NVML_NVLINK_FIRMWARE_VERSION_LENGTH = 100 + +class c_nvmlNvlinkFirmwareVersion_t(_PrintableStructure): + _fields_ = [ + ("ucodeType", c_uint8), + ("major", c_uint), + ("minor", c_uint), + ("subMinor", c_uint) + ] + +class c_nvmlNvlinkFirmwareInfo_t(_PrintableStructure): + _fields_ = [ + ("firmwareVersion", c_nvmlNvlinkFirmwareVersion_t * NVML_NVLINK_FIRMWARE_VERSION_LENGTH), + ("numValidEntries", c_uint) + ] + +nvmlNvLinkInfo_v2 = 0x200064c +class c_nvmlNvLinkInfo_v2_t(_PrintableStructure): + _fields_ = [ + ("version", c_uint), + ("isNvleEnabled", c_uint), + ("firmwareInfo", c_nvmlNvlinkFirmwareInfo_t) + ] + + def __init__(self): + super(c_nvmlNvLinkInfo_v2_t, self).__init__(version=nvmlNvLinkInfo_v2) + + +NVML_PRM_DATA_MAX_SIZE = 496 +class c_nvmlPRMTLV_v1_t(_PrintableStructure): + _fields_ = [ + ('dataSize', c_uint32), + ('status', c_uint32), + ('data', c_ubyte * NVML_PRM_DATA_MAX_SIZE), + ] + def __init__(self, size=0): + super(c_nvmlPRMTLV_v1_t, self).__init__(dataSize=size, status=0) + +def nvmlDeviceReadWritePRM_v1(handle, c_info): + fn = _nvmlGetFunctionPointer("nvmlDeviceReadWritePRM_v1") + ret = fn(handle, byref(c_info)) + _nvmlCheckReturn(ret) + + +# Addressing modes +NVML_DEVICE_ADDRESSING_MODE_NONE = 0 +NVML_DEVICE_ADDRESSING_MODE_HMM = 1 +NVML_DEVICE_ADDRESSING_MODE_ATS = 2 + +nvmlDeviceAddressingMode_v1 = 0x1000008 +class c_nvmlDeviceAddressingMode_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('value', c_uint), + ] + + def __init__(self): + super(c_nvmlDeviceAddressingMode_t, self).__init__(version=nvmlDeviceAddressingMode_v1) + ## Event structures class struct_c_nvmlEventSet_t(Structure): pass # opaque handle c_nvmlEventSet_t = POINTER(struct_c_nvmlEventSet_t) -nvmlEventTypeSingleBitEccError = 0x0000000000000001 -nvmlEventTypeDoubleBitEccError = 0x0000000000000002 -nvmlEventTypePState = 0x0000000000000004 -nvmlEventTypeXidCriticalError = 0x0000000000000008 -nvmlEventTypeClock = 0x0000000000000010 -nvmlEventTypePowerSourceChange = 0x0000000000000080 -nvmlEventMigConfigChange = 0x0000000000000100 -nvmlEventTypeNone = 0x0000000000000000 -nvmlEventTypeAll = ( +nvmlEventTypeSingleBitEccError = 0x0000000000000001 +nvmlEventTypeDoubleBitEccError = 0x0000000000000002 +nvmlEventTypePState = 0x0000000000000004 +nvmlEventTypeXidCriticalError = 0x0000000000000008 +nvmlEventTypeClock = 0x0000000000000010 +nvmlEventTypePowerSourceChange = 0x0000000000000080 +nvmlEventMigConfigChange = 0x0000000000000100 +nvmlEventTypeSingleBitEccErrorStorm = 0x0000000000000200 +nvmlEventTypeDramRetirementEvent = 0x0000000000000400 +nvmlEventTypeDramRetirementFailure = 0x0000000000000800 +nvmlEventTypeNonFatalPoisonError = 0x0000000000001000 +nvmlEventTypeFatalPoisonError = 0x0000000000002000 +nvmlEventTypeGpuUnavailableError = 0x0000000000004000 +nvmlEventTypeGpuRecoveryAction = 0x0000000000008000 +nvmlEventTypeNone = 0x0000000000000000 +nvmlEventTypeAll = ( nvmlEventTypeNone | nvmlEventTypeSingleBitEccError | nvmlEventTypeDoubleBitEccError @@ -1220,9 +1928,41 @@ class struct_c_nvmlEventSet_t(Structure): | nvmlEventTypePowerSourceChange | nvmlEventTypeXidCriticalError | nvmlEventMigConfigChange - ) + | nvmlEventTypeSingleBitEccErrorStorm + | nvmlEventTypeDramRetirementEvent + | nvmlEventTypeDramRetirementFailure + | nvmlEventTypeNonFatalPoisonError + | nvmlEventTypeFatalPoisonError + | nvmlEventTypeGpuUnavailableError + | nvmlEventTypeGpuRecoveryAction + ) + +## Clock Event Reasons defines +nvmlClocksEventReasonGpuIdle = 0x0000000000000001 +nvmlClocksEventReasonApplicationsClocksSetting = 0x0000000000000002 +nvmlClocksEventReasonUserDefinedClocks = nvmlClocksEventReasonApplicationsClocksSetting # deprecated, use nvmlClocksEventReasonApplicationsClocksSetting +nvmlClocksEventReasonSwPowerCap = 0x0000000000000004 +nvmlClocksEventReasonHwSlowdown = 0x0000000000000008 +nvmlClocksEventReasonSyncBoost = 0x0000000000000010 +nvmlClocksEventReasonSwThermalSlowdown = 0x0000000000000020 +nvmlClocksEventReasonHwThermalSlowdown = 0x0000000000000040 +nvmlClocksEventReasonHwPowerBrakeSlowdown = 0x0000000000000080 +nvmlClocksEventReasonDisplayClockSetting = 0x0000000000000100 +nvmlClocksEventReasonNone = 0x0000000000000000 +nvmlClocksEventReasonAll = ( + nvmlClocksEventReasonNone | + nvmlClocksEventReasonGpuIdle | + nvmlClocksEventReasonApplicationsClocksSetting | + nvmlClocksEventReasonSwPowerCap | + nvmlClocksEventReasonHwSlowdown | + nvmlClocksEventReasonSyncBoost | + nvmlClocksEventReasonSwThermalSlowdown | + nvmlClocksEventReasonHwThermalSlowdown | + nvmlClocksEventReasonHwPowerBrakeSlowdown | + nvmlClocksEventReasonDisplayClockSetting + ) -## Clock Throttle Reasons defines +## Following have been deprecated nvmlClocksThrottleReasonGpuIdle = 0x0000000000000001 nvmlClocksThrottleReasonApplicationsClocksSetting = 0x0000000000000002 nvmlClocksThrottleReasonUserDefinedClocks = nvmlClocksThrottleReasonApplicationsClocksSetting # deprecated, use nvmlClocksThrottleReasonApplicationsClocksSetting @@ -1257,64 +1997,427 @@ class c_nvmlEventData_t(_PrintableStructure): ] _fmt_ = {'eventType': "0x%08X"} -class c_nvmlAccountingStats_t(_PrintableStructure): +class struct_c_nvmlSystemEventSet_t(Structure): + pass # opaque handle +c_nvmlSystemEventSet_t = POINTER(struct_c_nvmlSystemEventSet_t) + +nvmlSystemEventTypeGpuDriverUnbind = 0x0000000000000001 +nvmlSystemEventTypeGpuDriverBind = 0x0000000000000002 + +nvmlSystemEventTypeCount = 2 + +nvmlSystemEventSetCreateRequest_v1 = 0x1000010 +class c_nvmlSystemEventSetCreateRequest_v1_t(_PrintableStructure): _fields_ = [ - ('gpuUtilization', c_uint), - ('memoryUtilization', c_uint), - ('maxMemoryUsage', c_ulonglong), - ('time', c_ulonglong), - ('startTime', c_ulonglong), - ('isRunning', c_uint), - ('reserved', c_uint * 5) + ('version', c_uint), + ('set', c_nvmlSystemEventSet_t) ] -class c_nvmlVgpuVersion_t(Structure): - _fields_ = [("minVersion", c_uint), - ("maxVersion", c_uint) - ] + def __init__(self): + super(c_nvmlSystemEventSetCreateRequest_v1_t, self).__init__(version=nvmlSystemEventSetCreateRequest_v1) -class c_nvmlVgpuMetadata_t(Structure): - _fields_ = [("version", c_uint), - ("revision", c_uint), - ("guestInfoState", _nvmlVgpuGuestInfoState_t), - ("guestDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), - ("hostDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), - ("reserved", c_uint * 6), - ("vgpuVirtualizationCaps", c_uint), - ("guestVgpuVersion", c_uint), - ("opaqueDataSize", c_uint), - ("opaqueData", c_char * NVML_VGPU_METADATA_OPAQUE_DATA_SIZE) - ] +nvmlSystemEventSetFreeRequest_v1 = 0x1000010 +class c_nvmlSystemEventSetFreeRequest_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('set', c_nvmlSystemEventSet_t) + ] -class c_nvmlVgpuPgpuMetadata_t(Structure): - _fields_ = [("version", c_uint), - ("revision", c_uint), - ("hostDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), - ("pgpuVirtualizationCaps", c_uint), - ("reserved", c_uint * 5), - ("hostSupportedVgpuRange", c_nvmlVgpuVersion_t), - ("opaqueDataSize", c_uint), - ("opaqueData", c_char * NVML_VGPU_PGPU_METADATA_OPAQUE_DATA_SIZE) - ] + def __init__(self): + super(c_nvmlSystemEventSetFreeRequest_v1_t, self).__init__(version=nvmlSystemEventSetFreeRequest_v1) -class c_nvmlVgpuPgpuCompatibility_t(Structure): - _fields_ = [("vgpuVmCompatibility", _nvmlVgpuVmCompatibility_t), - ("compatibilityLimitCode", _nvmlVgpuPgpuCompatibilityLimitCode_t) - ] +nvmlSystemRegisterEventRequest_v1 = 0x1000018 +class c_nvmlSystemRegisterEventRequest_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('eventTypes', c_ulonglong), + ('set', c_nvmlSystemEventSet_t) + ] -class c_nvmlFBCStats_t(Structure): - _fields_ = [("sessionsCount", c_uint), - ("averageFPS", c_uint), - ("averageLatency", c_uint) - ] + def __init__(self): + super(c_nvmlSystemRegisterEventRequest_v1_t, self).__init__(version=nvmlSystemRegisterEventRequest_v1) -class c_nvmlFBCSession_t(_PrintableStructure): +class c_nvmlSystemEventData_v1_t(_PrintableStructure): _fields_ = [ - ('sessionId', c_uint), - ('pid', c_uint), - ('vgpuInstance', _nvmlVgpuInstance_t), - ('displayOrdinal', c_uint), - ('sessionType', c_uint), + ('eventType', c_ulonglong), + ('gpuId', c_uint) + ] + _fmt_ = {'eventType': "0x%08X"} + +nvmlSystemEventSetWaitRequest_v1 = 0x1000020 +class c_nvmlSystemEventSetWaitRequest_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), # input/output + ('timeoutms', c_uint), # input + ('set', c_nvmlSystemEventSet_t), # input + ('data', POINTER(c_nvmlSystemEventData_v1_t)), # input/output. Buffer owned by caller + ('dataSize', c_uint), # input + ('numEvent', c_uint) # output. Number of event recorded + ] + + def __init__(self): + super(c_nvmlSystemEventSetWaitRequest_v1_t, self).__init__(version=nvmlSystemEventSetWaitRequest_v1) + +# C APIs for system events +def c_nvmlSystemEventSetCreate(req): + """ + C API binding for c_nvmlSystemEventSetFree + :param req: reference of c_nvmlSystemEventSetCreateRequest_v1_t + """ + fn = _nvmlGetFunctionPointer("nvmlSystemEventSetCreate") + ret = fn(req) + _nvmlCheckReturn(ret) + +def c_nvmlSystemEventSetFree(req): + """ + C API binding for c_nvmlSystemEventSetFree + :param req: reference of c_nvmlSystemEventSetFreeRequest_v1_t + """ + fn = _nvmlGetFunctionPointer("nvmlSystemEventSetFree") + ret = fn(req) + _nvmlCheckReturn(ret) + +def c_nvmlSystemRegisterEvents(req): + """ + C API binding for nvmlSystemRegisterEvents + :param req: reference of c_nvmlSystemRegisterEventRequest_v1_t + """ + fn = _nvmlGetFunctionPointer("nvmlSystemRegisterEvents") + ret = fn(req) + _nvmlCheckReturn(ret) + +def c_nvmlSystemEventSetWait(req): + """ + C API binding for nvmlSystemEventSetWait + :param req: reference of c_nvmlSystemEventSetWaitRequest_v1_t + """ + fn = _nvmlGetFunctionPointer("nvmlSystemEventSetWait") + ret = fn(req) + # Accept TIMEOUT error + if ret == NVML_ERROR_TIMEOUT: + return ret + _nvmlCheckReturn(ret) + +# Pythonic APIs for system events +# No Pythonic API compability support +# When user upgrades to a new NVML Python binding, +# user should upgrade their code against API change. +def nvmlSystemEventSetCreate(version): + """ + Create an NVML system event set. + :param version: The version of the request. + :return: A ctypes pointer to the created c_nvmlSystemEventSet_t structure. + """ + if version != nvmlSystemEventSetCreateRequest_v1: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + + # Prepare the request structure + req = c_nvmlSystemEventSetCreateRequest_v1_t() + req.version = version + req.set = None # Initialize as NULL + + c_nvmlSystemEventSetCreate(byref(req)) + + # Return the created set handle + if not req.set: + raise NVMLError(NVML_ERROR_MEMORY) + return req.set + +def nvmlSystemEventSetFree(version, setHandle): + """ + Free an NVML system event set. + :param version: The version of the request. + :param setHandle: A ctypes pointer to a c_nvmlSystemEventSet_t structure. + """ + if version != nvmlSystemEventSetFreeRequest_v1: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + + req = c_nvmlSystemEventSetFreeRequest_v1_t() + req.version = version + req.set = setHandle + + c_nvmlSystemEventSetFree(byref(req)) + + +def nvmlSystemRegisterEvents(version, eventTypes, setHandle): + """ + Register events for an NVML system event set. + :param version: The version of the request. + :param eventTypes: A bitmask of event types to register. + :param setHandle: A ctypes pointer to a c_nvmlSystemEventSet_t structure. + """ + if version != nvmlSystemRegisterEventRequest_v1: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + + req = c_nvmlSystemRegisterEventRequest_v1_t() + req.version = version + req.eventTypes = eventTypes + req.set = setHandle + + c_nvmlSystemRegisterEvents(byref(req)) + + +def nvmlSystemEventSetWait(version, setHandle, timeoutMs, eventData, eventDataSize): + """ + Wait for events in an NVML system event set. + :param version: The version of the request. + :param setHandle: A ctypes pointer to a c_nvmlSystemEventSet_t structure. + :param timeoutMs: Timeout in milliseconds. + :param eventData: A ctypes array of c_nvmlSystemEventData_v1_t for event data. + :param eventDataSize: Number of c_nvmlSystemEventData_v1_t in evenData array.. + :return: A list of dictionaries containing event data. + """ + if version != nvmlSystemEventSetWaitRequest_v1: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + + req = c_nvmlSystemEventSetWaitRequest_v1_t() + req.version = version + req.timeoutms = timeoutMs + req.set = setHandle + req.data = eventData + req.dataSize = eventDataSize + + ret = c_nvmlSystemEventSetWait(byref(req)) + if ret == NVML_ERROR_TIMEOUT: + return [] # Timeout, no events occurred. + + # Extract event data from the buffer + events = [] + for i in range(req.numEvent): + events.append({ + 'eventType': eventData[i].eventType, + 'gpuId': eventData[i].gpuId + }) + return events + +class c_nvmlAccountingStats_t(_PrintableStructure): + _fields_ = [ + ('gpuUtilization', c_uint), + ('memoryUtilization', c_uint), + ('maxMemoryUsage', c_ulonglong), + ('time', c_ulonglong), + ('startTime', c_ulonglong), + ('isRunning', c_uint), + ('reserved', c_uint * 5) + ] + +class c_nvmlVgpuVersion_t(Structure): + _fields_ = [("minVersion", c_uint), + ("maxVersion", c_uint) + ] + +class c_nvmlVgpuMetadata_t(_PrintableStructure): + _fields_ = [("version", c_uint), + ("revision", c_uint), + ("guestInfoState", _nvmlVgpuGuestInfoState_t), + ("guestDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), + ("hostDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), + ("reserved", c_uint * 6), + ("vgpuVirtualizationCaps", c_uint), + ("guestVgpuVersion", c_uint), + ("opaqueDataSize", c_uint), + ("opaqueData", c_char * NVML_VGPU_METADATA_OPAQUE_DATA_SIZE) + ] + +class c_nvmlVgpuPgpuMetadata_t(_PrintableStructure): + _fields_ = [("version", c_uint), + ("revision", c_uint), + ("hostDriverVersion", c_char * NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE), + ("pgpuVirtualizationCaps", c_uint), + ("reserved", c_uint * 5), + ("hostSupportedVgpuRange", c_nvmlVgpuVersion_t), + ("opaqueDataSize", c_uint), + ("opaqueData", c_char * NVML_VGPU_PGPU_METADATA_OPAQUE_DATA_SIZE) + ] + +class c_nvmlVgpuPgpuCompatibility_t(Structure): + _fields_ = [("vgpuVmCompatibility", _nvmlVgpuVmCompatibility_t), + ("compatibilityLimitCode", _nvmlVgpuPgpuCompatibilityLimitCode_t) + ] + +## vGPU scheduler policy defines +NVML_VGPU_SCHEDULER_POLICY_UNKNOWN = 0 +NVML_VGPU_SCHEDULER_POLICY_BEST_EFFORT = 1 +NVML_VGPU_SCHEDULER_POLICY_EQUAL_SHARE = 2 +NVML_VGPU_SCHEDULER_POLICY_FIXED_SHARE = 3 + +## Supported vGPU scheduler policy count +NVML_SUPPORTED_VGPU_SCHEDULER_POLICY_COUNT = 3 + +NVML_SCHEDULER_SW_MAX_LOG_ENTRIES = 200 + +NVML_VGPU_SCHEDULER_ARR_DEFAULT = 0 +NVML_VGPU_SCHEDULER_ARR_DISABLE = 1 +NVML_VGPU_SCHEDULER_ARR_ENABLE = 2 + +NVML_VGPU_SCHEDULER_ENGINE_TYPE_GRAPHICS = 1 + +class c_nvmlVgpuSchedDataWithARR_t(_PrintableStructure): + _fields_ = [ + ('avgFactor', c_uint), + ('timeslice', c_uint), + ] + +class c_nvmlVgpuSchedData_t(_PrintableStructure): + _fields_ = [ + ('timeslice', c_uint), + ] + +class c_nvmlVgpuSchedulerParams_t(Union): + _fields_ = [ + ('vgpuSchedDataWithARR', c_nvmlVgpuSchedDataWithARR_t), + ('vgpuSchedData', c_nvmlVgpuSchedData_t), + ] + +class c_nvmlVgpuSchedulerLogEntry_t(_PrintableStructure): + _fields_ = [ + ('timestamp', c_ulonglong), + ('timeRunTotal', c_ulonglong), + ('timeRun', c_ulonglong), + ('swRunlistId', c_uint), + ('targetTimeSlice', c_ulonglong), + ('cumulativePreemptionTime', c_ulonglong), + ] + +class c_nvmlVgpuSchedulerLog_t(_PrintableStructure): + _fields_ = [ + ('engineId', c_uint), + ('schedulerPolicy', c_uint), + ('arrMode', c_uint), + ('schedulerParams', c_nvmlVgpuSchedulerParams_t), + ('entriesCount', c_uint), + ('logEntries', c_nvmlVgpuSchedulerLogEntry_t * NVML_SCHEDULER_SW_MAX_LOG_ENTRIES), + ] + +class c_nvmlVgpuSchedulerGetState_t(_PrintableStructure): + _fields_ = [ + ('schedulerPolicy', c_uint), + ('arrMode', c_uint), + ('schedulerParams', c_nvmlVgpuSchedulerParams_t), + ] + +class c_nvmlVgpuSchedSetDataWithARR_t(_PrintableStructure): + _fields_ = [ + ('avgFactor', c_uint), + ('frequency', c_uint), + ] + +class c_nvmlVgpuSchedSetData_t(_PrintableStructure): + _fields_ = [ + ('timeslice', c_uint), + ] + +class c_nvmlVgpuSchedulerSetParams_t(Union): + _fields_ = [ + ('vgpuSchedDataWithARR', c_nvmlVgpuSchedSetDataWithARR_t), + ('vgpuSchedData', c_nvmlVgpuSchedSetData_t), + ] + +class c_nvmlVgpuSchedulerSetState_t(_PrintableStructure): + _fields_ = [ + ('schedulerPolicy', c_uint), + ('enableARRMode', c_uint), + ('schedulerParams', c_nvmlVgpuSchedulerSetParams_t), + ] + +class c_nvmlVgpuSchedulerCapabilities_t(_PrintableStructure): + _fields_ = [ + ('supportedSchedulers', c_uint * NVML_SUPPORTED_VGPU_SCHEDULER_POLICY_COUNT), + ('maxTimeslice', c_uint), + ('minTimeslice', c_uint), + ('isArrModeSupported', c_uint), + ('maxFrequencyForARR', c_uint), + ('minFrequencyForARR', c_uint), + ('maxAvgFactorForARR', c_uint), + ('minAvgFactorForARR', c_uint), + ] + +class c_nvmlVgpuTypeIdInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('vgpuCount', c_uint), + ('vgpuTypeIds', POINTER(c_uint)), + ] + +nvmlVgpuTypeIdInfo_v1 = 0x1000010 + +class c_nvmlVgpuTypeMaxInstance_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('vgpuTypeId', c_uint), + ('maxInstancePerGI', c_uint), + ] + +nvmlVgpuTypeMaxInstance_v1 = 0x100000C + +class c_nvmlActiveVgpuInstanceInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('vgpuCount', c_uint), + ('vgpuInstances', POINTER(c_uint)), + ] + +nvmlActiveVgpuInstanceInfo_v1 = 0x1000010 + +class c_nvmlVgpuSchedulerState_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('engineId', c_uint), + ('schedulerPolicy', c_uint), + ('enableARRMode', c_uint), + ('schedulerParams', c_nvmlVgpuSchedulerSetParams_t), + ] + +nvmlVgpuSchedulerState_v1 = 0x1000018 + +class c_nvmlVgpuSchedulerStateInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), # input + ('engineId', c_uint), # input. One of NVML_ENGINE_TYPE* + ('schedulerPolicy', c_uint), # output + ('arrMode', c_uint), # output + ('schedulerParams', c_nvmlVgpuSchedulerParams_t), # output + ] + +nvmlVgpuSchedulerStateInfo_v1 = 0x1000018 + +class c_nvmlVgpuSchedulerLogInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), # input + ('engineId', c_uint), # input. One of NVML_ENGINE_TYPE* + ('schedulerPolicy', c_uint), # output + ('arrMode', c_uint), # output + ('schedulerParams', c_nvmlVgpuSchedulerParams_t), # output + ('entriesCount', c_uint), # output + ('logEntries', c_nvmlVgpuSchedulerLogEntry_t * NVML_SCHEDULER_SW_MAX_LOG_ENTRIES), # output + ] + +nvmlVgpuSchedulerLogInfo_v1 = 0x10025A0 + +class c_nvmlVgpuCreatablePlacementInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('vgpuTypeId', c_uint), + ('count', c_uint), + ('placementIds', POINTER(c_uint)), + ('placementSize', c_uint), + ] + +nvmlVgpuCreatablePlacementInfo_v1 = 0x1000020 + +class c_nvmlFBCStats_t(Structure): + _fields_ = [("sessionsCount", c_uint), + ("averageFPS", c_uint), + ("averageLatency", c_uint) + ] + +class c_nvmlFBCSession_t(_PrintableStructure): + _fields_ = [ + ('sessionId', c_uint), + ('pid', c_uint), + ('vgpuInstance', _nvmlVgpuInstance_t), + ('displayOrdinal', c_uint), + ('sessionType', c_uint), ('sessionFlags', c_uint), ('hMaxResolution', c_uint), ('vMaxResolution', c_uint), @@ -1335,7 +2438,16 @@ class c_nvmlFBCSession_t(_PrintableStructure): NVML_GPU_INSTANCE_PROFILE_8_SLICE = 0x5 NVML_GPU_INSTANCE_PROFILE_6_SLICE = 0x6 NVML_GPU_INSTANCE_PROFILE_1_SLICE_REV1 = 0x7 -NVML_GPU_INSTANCE_PROFILE_COUNT = 0x8 +NVML_GPU_INSTANCE_PROFILE_2_SLICE_REV1 = 0x8 +NVML_GPU_INSTANCE_PROFILE_1_SLICE_REV2 = 0x9 +NVML_GPU_INSTANCE_PROFILE_1_SLICE_GFX = 0xA +NVML_GPU_INSTANCE_PROFILE_2_SLICE_GFX = 0xB +NVML_GPU_INSTANCE_PROFILE_4_SLICE_GFX = 0xC +NVML_GPU_INSTANCE_PROFILE_1_SLICE_NO_ME = 0xD +NVML_GPU_INSTANCE_PROFILE_2_SLICE_NO_ME = 0xE +NVML_GPU_INSTANCE_PROFILE_1_SLICE_ALL_ME = 0xF +NVML_GPU_INSTANCE_PROFILE_2_SLICE_ALL_ME = 0x10 +NVML_GPU_INSTANCE_PROFILE_COUNT = 0x11 class c_nvmlGpuInstancePlacement_t(Structure): _fields_ = [("start", c_uint), @@ -1356,6 +2468,27 @@ class c_nvmlGpuInstanceProfileInfo_t(Structure): ("memorySizeMB", c_ulonglong), ] +nvmlGpuInstanceProfileInfo_v2 = 0x02000098 + +class c_nvmlGpuInstanceProfileInfo_v2_t(_PrintableStructure): + _fields_ = [("version", c_uint), + ("id", c_uint), + ("isP2pSupported", c_uint), + ("sliceCount", c_uint), + ("instanceCount", c_uint), + ("multiprocessorCount", c_uint), + ("copyEngineCount", c_uint), + ("decoderCount", c_uint), + ("encoderCount", c_uint), + ("jpegCount", c_uint), + ("ofaCount", c_uint), + ("memorySizeMB", c_ulonglong), + ("name", c_char * NVML_DEVICE_NAME_V2_BUFFER_SIZE) + ] + + def __init__(self): + super(c_nvmlGpuInstanceProfileInfo_v2_t, self).__init__(version=nvmlGpuInstanceProfileInfo_v2) + class c_nvmlGpuInstanceInfo_t(Structure): _fields_ = [("device", c_nvmlDevice_t), ("id", c_uint), @@ -1367,14 +2500,15 @@ class struct_c_nvmlGpuInstance_t(Structure): pass # opaque handle c_nvmlGpuInstance_t = POINTER(struct_c_nvmlGpuInstance_t) -NVML_COMPUTE_INSTANCE_PROFILE_1_SLICE = 0x0 -NVML_COMPUTE_INSTANCE_PROFILE_2_SLICE = 0x1 -NVML_COMPUTE_INSTANCE_PROFILE_3_SLICE = 0x2 -NVML_COMPUTE_INSTANCE_PROFILE_4_SLICE = 0x3 -NVML_COMPUTE_INSTANCE_PROFILE_7_SLICE = 0x4 -NVML_COMPUTE_INSTANCE_PROFILE_8_SLICE = 0x5 -NVML_COMPUTE_INSTANCE_PROFILE_6_SLICE = 0x6 -NVML_COMPUTE_INSTANCE_PROFILE_COUNT = 0x7 +NVML_COMPUTE_INSTANCE_PROFILE_1_SLICE = 0x0 +NVML_COMPUTE_INSTANCE_PROFILE_2_SLICE = 0x1 +NVML_COMPUTE_INSTANCE_PROFILE_3_SLICE = 0x2 +NVML_COMPUTE_INSTANCE_PROFILE_4_SLICE = 0x3 +NVML_COMPUTE_INSTANCE_PROFILE_7_SLICE = 0x4 +NVML_COMPUTE_INSTANCE_PROFILE_8_SLICE = 0x5 +NVML_COMPUTE_INSTANCE_PROFILE_6_SLICE = 0x6 +NVML_COMPUTE_INSTANCE_PROFILE_1_SLICE_REV1 = 0x7 +NVML_COMPUTE_INSTANCE_PROFILE_COUNT = 0x8 NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_SHARED = 0x0 NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_COUNT = 0x1 @@ -1396,6 +2530,25 @@ class c_nvmlComputeInstanceProfileInfo_t(Structure): ("sharedOfaCount", c_uint) ] +nvmlComputeInstanceProfileInfo_v2 = 0x02000088 + +class c_nvmlComputeInstanceProfileInfo_v2_t(_PrintableStructure): + _fields_ = [("version", c_uint), + ("id", c_uint), + ("sliceCount", c_uint), + ("instanceCount", c_uint), + ("multiprocessorCount", c_uint), + ("sharedCopyEngineCount", c_uint), + ("sharedDecoderCount", c_uint), + ("sharedEncoderCount", c_uint), + ("sharedJpegCount", c_uint), + ("sharedOfaCount", c_uint), + ("name", c_char * NVML_DEVICE_NAME_V2_BUFFER_SIZE) + ] + + def __init__(self): + super(c_nvmlComputeInstanceProfileInfo_v2_t, self).__init__(version=nvmlComputeInstanceProfileInfo_v2) + class c_nvmlComputeInstanceInfo_t(Structure): _fields_ = [("device", c_nvmlDevice_t), ("gpuInstance", c_nvmlGpuInstance_t), @@ -1404,6 +2557,94 @@ class c_nvmlComputeInstanceInfo_t(Structure): ("placement", c_nvmlComputeInstancePlacement_t) ] +NVML_MAX_GPU_UTILIZATIONS = 8 +NVML_GPU_UTILIZATION_DOMAIN_GPU = 0 +NVML_GPU_UTILIZATION_DOMAIN_FB = 1 +NVML_GPU_UTILIZATION_DOMAIN_VID = 2 +NVML_GPU_UTILIZATION_DOMAIN_BUS = 3 +class c_nvmlGpuDynamicPstatesUtilization_t(Structure): + _fields_ = [("bIsPresent", c_uint, 1), + ("percentage", c_uint), + ("incThreshold", c_uint), + ("decThreshold", c_uint)] +class c_nvmlGpuDynamicPstatesInfo_t(Structure): + _fields_ = [("flags", c_uint), + ("utilization", c_nvmlGpuDynamicPstatesUtilization_t * NVML_MAX_GPU_UTILIZATIONS)] + +NVML_MAX_THERMAL_SENSORS_PER_GPU = 3 + +NVML_THERMAL_TARGET_NONE = 0 +NVML_THERMAL_TARGET_GPU = 1 +NVML_THERMAL_TARGET_MEMORY = 2 +NVML_THERMAL_TARGET_POWER_SUPPLY = 4 +NVML_THERMAL_TARGET_BOARD = 8 +NVML_THERMAL_TARGET_VCD_BOARD = 9 +NVML_THERMAL_TARGET_VCD_INLET = 10 +NVML_THERMAL_TARGET_VCD_OUTLET = 11 +NVML_THERMAL_TARGET_ALL = 15 +NVML_THERMAL_TARGET_UNKNOWN = -1 + +NVML_THERMAL_CONTROLLER_NONE = 0 +NVML_THERMAL_CONTROLLER_GPU_INTERNAL = 1 +NVML_THERMAL_CONTROLLER_ADM1032 = 2 +NVML_THERMAL_CONTROLLER_ADT7461 = 3 +NVML_THERMAL_CONTROLLER_MAX6649 = 4 +NVML_THERMAL_CONTROLLER_MAX1617 = 5 +NVML_THERMAL_CONTROLLER_LM99 = 6 +NVML_THERMAL_CONTROLLER_LM89 = 7 +NVML_THERMAL_CONTROLLER_LM64 = 8 +NVML_THERMAL_CONTROLLER_G781 = 9 +NVML_THERMAL_CONTROLLER_ADT7473 = 10 +NVML_THERMAL_CONTROLLER_SBMAX6649 = 11 +NVML_THERMAL_CONTROLLER_VBIOSEVT = 12 +NVML_THERMAL_CONTROLLER_OS = 13 +NVML_THERMAL_CONTROLLER_NVSYSCON_CANOAS = 14 +NVML_THERMAL_CONTROLLER_NVSYSCON_E551 = 15 +NVML_THERMAL_CONTROLLER_MAX6649R = 16 +NVML_THERMAL_CONTROLLER_ADT7473S = 17 +NVML_THERMAL_CONTROLLER_UNKNOWN = -1 + +class c_nvmlGpuThermalSensor_t(Structure): + _fields_ = [("controller", c_int), + ("defaultMinTemp", c_int), + ("defaultMaxTemp", c_int), + ("currentTemp", c_int), + ("target", c_int)] +class c_nvmlGpuThermalSettings_t(Structure): + _fields_ = [("count", c_uint), + ("sensor", c_nvmlGpuThermalSensor_t * NVML_MAX_THERMAL_SENSORS_PER_GPU)] + +_nvmlCoolerControl_t = c_uint +NVML_THERMAL_COOLER_SIGNAL_NONE = 0 +NVML_THERMAL_COOLER_SIGNAL_TOGGLE = 1 +NVML_THERMAL_COOLER_SIGNAL_VARIABLE = 2 +NVML_THERMAL_COOLER_SIGNAL_COUNT = 3 + +_nvmlCoolerTarget_t = c_uint +NVML_THERMAL_COOLER_TARGET_NONE = (1 << 0) +NVML_THERMAL_COOLER_TARGET_GPU = (1 << 1) +NVML_THERMAL_COOLER_TARGET_MEMORY = (1 << 2) +NVML_THERMAL_COOLER_TARGET_POWER_SUPPLY = (1 << 3) +NVML_THERMAL_COOLER_TARGET_GPU_RELATED = (NVML_THERMAL_COOLER_TARGET_GPU | NVML_THERMAL_COOLER_TARGET_MEMORY | NVML_THERMAL_COOLER_TARGET_POWER_SUPPLY) + +class c_nvmlCoolerInfo_t(_PrintableStructure): + _fields_ = [("version", c_uint), + ("index", c_uint), + ("coolerControlType", _nvmlCoolerControl_t), + ("coolerTarget", _nvmlCoolerTarget_t) + ] + +nvmlCoolerInfo_v1 = 0x1000010 + +def nvmlDeviceGetCoolerInfo(handle): + c_coolerInfo = c_nvmlCoolerInfo_t() + c_coolerInfo.version = nvmlCoolerInfo_v1 + c_coolerInfo.index = 0 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetCoolerInfo") + ret = fn(handle, byref(c_coolerInfo)) + _nvmlCheckReturn(ret) + return [c_coolerInfo.coolerControlType, c_coolerInfo.coolerTarget] + class struct_c_nvmlComputeInstance_t(Structure): pass # opaque handle c_nvmlComputeInstance_t = POINTER(struct_c_nvmlComputeInstance_t) @@ -1428,6 +2669,110 @@ class c_nvmlRowRemapperHistogramValues(Structure): ("none", c_uint) ] +NVML_GPU_CERT_CHAIN_SIZE = 0x1000 +NVML_GPU_ATTESTATION_CERT_CHAIN_SIZE = 0x1400 +NVML_CC_GPU_CEC_NONCE_SIZE = 0x20 +NVML_CC_GPU_ATTESTATION_REPORT_SIZE = 0x2000 +NVML_CC_GPU_CEC_ATTESTATION_REPORT_SIZE = 0x1000 +NVML_CC_CEC_ATTESTATION_REPORT_NOT_PRESENT = 0 +NVML_CC_CEC_ATTESTATION_REPORT_PRESENT = 1 + +class c_nvmlConfComputeSystemState_t(Structure): + _fields_ = [('environment', c_uint), + ('ccFeature', c_uint), + ('devToolsMode', c_uint), + ] + +nvmlSystemConfComputeSettings_v1 = 0x1000014 + +class c_nvmlSystemConfComputeSettings_v1_t(Structure): + _fields_ = [('version', c_uint), + ('environment', c_uint), + ('ccFeature', c_uint), + ('devToolsMode', c_uint), + ('multiGpuMode', c_uint), + ] + def __init__(self): + super(c_nvmlSystemConfComputeSettings_v1_t, self).__init__(version=nvmlSystemConfComputeSettings_v1) + +class c_nvmlConfComputeSystemCaps_t(Structure): + _fields_ = [('cpuCaps', c_uint), + ('gpusCaps', c_uint), + ] + +class c_nvmlConfComputeMemSizeInfo_t(Structure): + _fields_ = [('protectedMemSizeKib', c_ulonglong), + ('unprotectedMemSizeKib', c_ulonglong), + ] + +class c_nvmlConfComputeGpuCertificate_t(Structure): + _fields_ = [('certChainSize', c_uint), + ('attestationCertChainSize', c_uint), + ('certChain', c_uint8 * NVML_GPU_CERT_CHAIN_SIZE), + ('attestationCertChain', c_uint8 * NVML_GPU_ATTESTATION_CERT_CHAIN_SIZE), + ] + +class c_nvmlConfComputeGpuAttestationReport_t(Structure): + _fields_ = [('isCecAttestationReportPresent', c_uint), # output + ('attestationReportSize', c_uint), # output + ('cecAttestationReportSize', c_uint), # output + ('nonce', c_uint8 * NVML_CC_GPU_CEC_NONCE_SIZE), # input: spdm supports 32 bytes on nonce + ('attestationReport', c_uint8 * NVML_CC_GPU_ATTESTATION_REPORT_SIZE), # output + ('cecAttestationReport', c_uint8 * NVML_CC_GPU_CEC_ATTESTATION_REPORT_SIZE), # output + ] + +class c_nvmlConfComputeSetKeyRotationThresholdInfo_t(Structure): + _fields_ = [('version', c_uint), + ('maxAttackerAdvantage', c_ulong), + ] +ConfComputeSetKeyRotationThresholdInfo_v1 = 0x1000010 + +class c_nvmlConfComputeGetKeyRotationThresholdInfo_t(Structure): + _fields_ = [('version', c_uint), + ('attackerAdvantage', c_ulong), + ] +ConfComputeGetKeyRotationThresholdInfo_v1 = 0x1000010 + +## string/bytes conversion for ease of use +def convertStrBytes(func): + ''' + In python 3, strings are unicode instead of bytes, and need to be converted for ctypes + Args from caller: (1, 'string', <__main__.c_nvmlDevice_t at 0xFFFFFFFF>) + Args passed to function: (1, b'string', <__main__.c_nvmlDevice_t at 0xFFFFFFFF)> + ---- + Returned from function: b'returned string' + Returned to caller: 'returned string' + ''' + @wraps(func) + def wrapper(*args, **kwargs): + # encoding a str returns bytes in python 2 and 3 + args = [arg.encode() if isinstance(arg, str) else arg for arg in args] + res = func(*args, **kwargs) + # In python 2, str and bytes are the same + # In python 3, str is unicode and should be decoded. + # Ctypes handles most conversions, this only effects c_char and char arrays. + if isinstance(res, bytes): + if isinstance(res, str): + return res + return res.decode() + return res + + if sys.version_info >= (3,): + return wrapper + return func + +def throwOnVersionMismatch(func): + @wraps(func) + def wrapper(*args, **kwargs): + try: + return func(*args, **kwargs) + except NVMLError_FunctionNotFound: + raise NVMLLibraryMismatchError("Unversioned function called and the " + "pyNVML version does not match the NVML lib version. " + "Either use matching pyNVML and NVML lib versions or " + "use a versioned function such as " + func.__name__ + "_v2") + return wrapper + ## C function wrappers ## def nvmlInitWithFlags(flags): _LoadNvmlLibrary() @@ -1501,6 +2846,7 @@ def nvmlShutdown(): return None # Added in 2.285 +@convertStrBytes def nvmlErrorString(result): fn = _nvmlGetFunctionPointer("nvmlErrorString") fn.restype = c_char_p # otherwise return is an int @@ -1508,6 +2854,7 @@ def nvmlErrorString(result): return ret # Added in 2.285 +@convertStrBytes def nvmlSystemGetNVMLVersion(): c_version = create_string_buffer(NVML_SYSTEM_NVML_VERSION_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlSystemGetNVMLVersion") @@ -1530,6 +2877,7 @@ def nvmlSystemGetCudaDriverVersion_v2(): return c_cuda_version.value # Added in 2.285 +@convertStrBytes def nvmlSystemGetProcessName(pid): c_name = create_string_buffer(1024) fn = _nvmlGetFunctionPointer("nvmlSystemGetProcessName") @@ -1537,6 +2885,7 @@ def nvmlSystemGetProcessName(pid): _nvmlCheckReturn(ret) return c_name.value +@convertStrBytes def nvmlSystemGetDriverVersion(): c_version = create_string_buffer(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlSystemGetDriverVersion") @@ -1568,6 +2917,14 @@ def nvmlSystemGetHicVersion(): _nvmlCheckReturn(ret) return hics +def nvmlSystemGetDriverBranch(): + c_branchInfo = c_nvmlSystemDriverBranchInfo_v1_t(0) + c_branchInfo.version = SystemDriverBranchInfo_v1 + fn = _nvmlGetFunctionPointer("nvmlSystemGetDriverBranch") + ret = fn(byref(c_branchInfo), c_uint(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE)) + _nvmlCheckReturn(ret) + return c_branchInfo + ## Unit get functions def nvmlUnitGetCount(): c_count = c_uint() @@ -1655,6 +3012,8 @@ def nvmlDeviceGetHandleByIndex(index): _nvmlCheckReturn(ret) return device +# Deprecated +@convertStrBytes def nvmlDeviceGetHandleBySerial(serial): c_serial = c_char_p(serial) device = c_nvmlDevice_t() @@ -1663,6 +3022,7 @@ def nvmlDeviceGetHandleBySerial(serial): _nvmlCheckReturn(ret) return device +@convertStrBytes def nvmlDeviceGetHandleByUUID(uuid): c_uuid = c_char_p(uuid) device = c_nvmlDevice_t() @@ -1671,6 +3031,21 @@ def nvmlDeviceGetHandleByUUID(uuid): _nvmlCheckReturn(ret) return device +@convertStrBytes +def nvmlDeviceGetHandleByUUIDV(uuid, type): + c_uuid = c_nvmlUUID_t() + c_uuid.type = type + if type == NVML_UUID_TYPE_ASCII: + c_uuid.value.str = uuid + elif type == NVML_UUID_TYPE_BINARY: + memmove(c_uuid.value.bytes, uuid, NVML_DEVICE_UUID_BINARY_LEN) + device = c_nvmlDevice_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetHandleByUUIDV") + ret = fn(byref(c_uuid), byref(device)) + _nvmlCheckReturn(ret) + return device + +@convertStrBytes def nvmlDeviceGetHandleByPciBusId(pciBusId): c_busId = c_char_p(pciBusId) device = c_nvmlDevice_t() @@ -1679,22 +3054,57 @@ def nvmlDeviceGetHandleByPciBusId(pciBusId): _nvmlCheckReturn(ret) return device +@convertStrBytes def nvmlDeviceGetName(handle): - c_name = create_string_buffer(NVML_DEVICE_NAME_BUFFER_SIZE) + c_name = create_string_buffer(NVML_DEVICE_NAME_V2_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetName") - ret = fn(handle, c_name, c_uint(NVML_DEVICE_NAME_BUFFER_SIZE)) + ret = fn(handle, c_name, c_uint(NVML_DEVICE_NAME_V2_BUFFER_SIZE)) _nvmlCheckReturn(ret) return c_name.value +class c_nvmlDevicePerfModes_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('str', c_char * NVML_PERF_MODES_BUFFER_SIZE), + ] + +nvmlDevicePerfModes_v1 = 0x1000804 + +@convertStrBytes +def nvmlDeviceGetPerformanceModes(handle): + perfModes = c_nvmlDevicePerfModes_v1_t() + perfModes.version = nvmlDevicePerfModes_v1 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPerformanceModes") + ret = fn(handle, byref(perfModes)) + _nvmlCheckReturn(ret) + return perfModes.str + +class c_nvmlDeviceCurrentClockFreqs_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('str', c_char * NVML_PERF_MODES_BUFFER_SIZE), + ] + +nvmlDeviceCurrentClockFreqs_v1 = 0x1000804 + +@convertStrBytes +def nvmlDeviceGetCurrentClockFreqs(handle): + currentClockFreqs = c_nvmlDeviceCurrentClockFreqs_v1_t() + currentClockFreqs.version = nvmlDeviceCurrentClockFreqs_v1 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetCurrentClockFreqs") + ret = fn(handle, byref(currentClockFreqs)) + _nvmlCheckReturn(ret) + return currentClockFreqs.str + def nvmlDeviceGetBoardId(handle): - c_id = c_uint(); + c_id = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetBoardId") ret = fn(handle, byref(c_id)) _nvmlCheckReturn(ret) return c_id.value def nvmlDeviceGetMultiGpuBoard(handle): - c_multiGpu = c_uint(); + c_multiGpu = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetMultiGpuBoard") ret = fn(handle, byref(c_multiGpu)) _nvmlCheckReturn(ret) @@ -1707,6 +3117,17 @@ def nvmlDeviceGetBrand(handle): _nvmlCheckReturn(ret) return c_type.value +def nvmlDeviceGetC2cModeInfoV1(handle): + c_info = c_nvmlC2cModeInfo_v1_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetC2cModeInfoV") + ret = fn(handle, byref(c_info)) + _nvmlCheckReturn(ret) + return c_info + +def nvmlDeviceGetC2cModeInfoV(handle): + return nvmlDeviceGetC2cModeInfoV1(handle) + +@convertStrBytes def nvmlDeviceGetBoardPartNumber(handle): c_part_number = create_string_buffer(NVML_DEVICE_PART_NUMBER_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetBoardPartNumber") @@ -1714,6 +3135,7 @@ def nvmlDeviceGetBoardPartNumber(handle): _nvmlCheckReturn(ret) return c_part_number.value +@convertStrBytes def nvmlDeviceGetSerial(handle): c_serial = create_string_buffer(NVML_DEVICE_SERIAL_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetSerial") @@ -1721,6 +3143,17 @@ def nvmlDeviceGetSerial(handle): _nvmlCheckReturn(ret) return c_serial.value +def nvmlDeviceGetModuleId(handle, moduleId=c_uint()): + isReference = type(moduleId) is not c_uint + moduleIdRef = moduleId if isReference else byref(moduleId) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetModuleId") + ret = fn(handle, moduleIdRef) + if isReference: + return ret + else: + _nvmlCheckReturn(ret) + return moduleId.value + def nvmlDeviceGetMemoryAffinity(handle, nodeSetSize, scope): affinity_array = c_ulonglong * nodeSetSize c_affinity = affinity_array() @@ -1757,6 +3190,20 @@ def nvmlDeviceClearCpuAffinity(handle): _nvmlCheckReturn(ret) return None +def nvmlDeviceGetNumaNodeId(handle): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNumaNodeId") + node = c_int() + ret = fn(handle, byref(node)) + _nvmlCheckReturn(ret) + return node.value + +def nvmlDeviceGetAddressingMode(device): + c_mode = c_nvmlDeviceAddressingMode_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetAddressingMode") + ret = fn(device, byref(c_mode)) + _nvmlCheckReturn(ret) + return c_mode.value + def nvmlDeviceGetMinorNumber(handle): c_minor_number = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetMinorNumber") @@ -1764,6 +3211,7 @@ def nvmlDeviceGetMinorNumber(handle): _nvmlCheckReturn(ret) return c_minor_number.value +@convertStrBytes def nvmlDeviceGetUUID(handle): c_uuid = create_string_buffer(NVML_DEVICE_UUID_V2_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetUUID") @@ -1771,6 +3219,7 @@ def nvmlDeviceGetUUID(handle): _nvmlCheckReturn(ret) return c_uuid.value +@convertStrBytes def nvmlDeviceGetInforomVersion(handle, infoRomObject): c_version = create_string_buffer(NVML_DEVICE_INFOROM_VERSION_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetInforomVersion") @@ -1780,6 +3229,7 @@ def nvmlDeviceGetInforomVersion(handle, infoRomObject): return c_version.value # Added in 4.304 +@convertStrBytes def nvmlDeviceGetInforomImageVersion(handle): c_version = create_string_buffer(NVML_DEVICE_INFOROM_VERSION_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetInforomImageVersion") @@ -1802,6 +3252,14 @@ def nvmlDeviceValidateInforom(handle): _nvmlCheckReturn(ret) return None +def nvmlDeviceGetLastBBXFlushTime(handle): + c_timestamp = c_ulonglong() + c_durationUs = c_ulong() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetLastBBXFlushTime") + ret = fn(handle, byref(c_timestamp), byref(c_durationUs)) + _nvmlCheckReturn(ret) + return [c_timestamp.value, c_durationUs.value] + def nvmlDeviceGetDisplayMode(handle): c_mode = _nvmlEnableState_t() fn = _nvmlGetFunctionPointer("nvmlDeviceGetDisplayMode") @@ -1824,6 +3282,12 @@ def nvmlDeviceGetPersistenceMode(handle): _nvmlCheckReturn(ret) return c_state.value +def nvmlDeviceGetPciInfoExt(handle, c_info): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPciInfoExt") + ret = fn(handle, c_info) + _nvmlCheckReturn(ret) + return None + def nvmlDeviceGetPciInfo_v3(handle): c_info = nvmlPciInfo_t() fn = _nvmlGetFunctionPointer("nvmlDeviceGetPciInfo_v3") @@ -1850,6 +3314,7 @@ def nvmlDeviceGetMaxClockInfo(handle, type): return c_clock.value # Added in 4.304 +# Deprecated def nvmlDeviceGetApplicationsClock(handle, type): c_clock = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetApplicationsClock") @@ -1872,6 +3337,7 @@ def nvmlDeviceGetClock(handle, type, id): return c_clock.value # Added in 5.319 +# Deprecated def nvmlDeviceGetDefaultApplicationsClock(handle, type): c_clock = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetDefaultApplicationsClock") @@ -1949,6 +3415,91 @@ def nvmlDeviceGetFanSpeed_v2(handle, fan): _nvmlCheckReturn(ret) return c_speed.value +class c_nvmlFanSpeedInfo_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('fan', c_uint), + ('speed', c_uint), + ] + +nvmlFanSpeedInfo_v1 = 0x100000C + +def nvmlDeviceGetFanSpeedRPM(handle): + c_fanSpeed = c_nvmlFanSpeedInfo_t() + c_fanSpeed.fan = 0 + c_fanSpeed.version = nvmlFanSpeedInfo_v1 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetFanSpeedRPM") + ret = fn(handle, byref(c_fanSpeed)) + _nvmlCheckReturn(ret) + return c_fanSpeed.speed + +def nvmlDeviceGetTargetFanSpeed(handle, fan): + c_speed = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetTargetFanSpeed") + ret = fn(handle, fan, byref(c_speed)) + _nvmlCheckReturn(ret) + return c_speed.value + +def nvmlDeviceGetNumFans(device): + c_numFans = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNumFans") + ret = fn(device, byref(c_numFans)) + _nvmlCheckReturn(ret) + return c_numFans.value + +def nvmlDeviceSetDefaultFanSpeed_v2(handle, index): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetDefaultFanSpeed_v2"); + ret = fn(handle, index) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetMinMaxFanSpeed(handle, minSpeed=c_uint(), maxSpeed=c_uint()): + isReference = (type(minSpeed) is not c_uint) or (type(maxSpeed) is not c_uint) + minSpeedRef = minSpeed if isReference else byref(minSpeed) + maxSpeedRef = maxSpeed if isReference else byref(maxSpeed) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMinMaxFanSpeed") + ret = fn(handle, minSpeedRef, maxSpeedRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else [minSpeed.value, maxSpeed.value] + +def nvmlDeviceGetFanControlPolicy_v2(handle, fan, fanControlPolicy=c_uint()): + isReference = type(fanControlPolicy) is not c_uint + fanControlPolicyRef = fanControlPolicy if isReference else byref(fanControlPolicy) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetFanControlPolicy_v2") + ret = fn(handle, fan, fanControlPolicyRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else fanControlPolicy.value + +def nvmlDeviceSetFanControlPolicy(handle, fan, fanControlPolicy): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetFanControlPolicy") + ret = fn(handle, fan, _nvmlFanControlPolicy_t(fanControlPolicy)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +class c_nvmlTemperature_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('sensorType', _nvmlTemperatureSensors_t), + ('temperature', c_int), + ] +nvmlTemperature_v1 = 0x100000C + +def nvmlDeviceGetTemperatureV1(handle, sensor): + c_temp = c_nvmlTemperature_v1_t() + c_temp.version = nvmlTemperature_v1 + c_temp.sensorType = _nvmlTemperatureSensors_t(sensor) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetTemperatureV") + ret = fn(handle, byref(c_temp)) + _nvmlCheckReturn(ret) + return c_temp.temperature + +def nvmlDeviceGetTemperatureV(handle, sensor, version=nvmlTemperature_v1): + if version == nvmlTemperature_v1: + return nvmlDeviceGetTemperatureV1(handle, sensor) + else: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + +# DEPRECATED use nvmlDeviceGetTemperatureV instead def nvmlDeviceGetTemperature(handle, sensor): c_temp = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetTemperature") @@ -1963,13 +3514,22 @@ def nvmlDeviceGetTemperatureThreshold(handle, threshold): _nvmlCheckReturn(ret) return c_temp.value -def nvmlDeviceSetTemperatureThreshold(handle, threshold): +def nvmlDeviceSetTemperatureThreshold(handle, threshold, temp): c_temp = c_uint() + c_temp.value = temp fn = _nvmlGetFunctionPointer("nvmlDeviceSetTemperatureThreshold") ret = fn(handle, _nvmlTemperatureThresholds_t(threshold), byref(c_temp)) _nvmlCheckReturn(ret) return None +def nvmlDeviceGetMarginTemperature(handle): + c_marginTempInfo = c_nvmlMarginTemperature_v1_t() + c_marginTempInfo.version = nvmlMarginTemperature_v1 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMarginTemperature") + ret = fn(handle, byref(c_marginTempInfo)) + _nvmlCheckReturn(ret) + return c_marginTempInfo.marginTemperature + # DEPRECATED use nvmlDeviceGetPerformanceState def nvmlDeviceGetPowerState(handle): c_pstate = _nvmlPstates_t() @@ -1985,6 +3545,7 @@ def nvmlDeviceGetPerformanceState(handle): _nvmlCheckReturn(ret) return c_pstate.value +# Deprecated def nvmlDeviceGetPowerManagementMode(handle): c_pcapMode = _nvmlEnableState_t() fn = _nvmlGetFunctionPointer("nvmlDeviceGetPowerManagementMode") @@ -2056,9 +3617,14 @@ def nvmlDeviceGetCurrentGpuOperationMode(handle): def nvmlDeviceGetPendingGpuOperationMode(handle): return nvmlDeviceGetGpuOperationMode(handle)[1] -def nvmlDeviceGetMemoryInfo(handle): - c_memory = c_nvmlMemory_t() - fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemoryInfo") +def nvmlDeviceGetMemoryInfo(handle, version=None): + if not version: + c_memory = c_nvmlMemory_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemoryInfo") + else: + c_memory = c_nvmlMemory_v2_t() + c_memory.version = version + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemoryInfo_v2") ret = fn(handle, byref(c_memory)) _nvmlCheckReturn(ret) return c_memory @@ -2101,6 +3667,13 @@ def nvmlDeviceGetCurrentEccMode(handle): def nvmlDeviceGetPendingEccMode(handle): return nvmlDeviceGetEccMode(handle)[1] +def nvmlDeviceGetDefaultEccMode(handle): + c_defaultState = _nvmlEnableState_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetDefaultEccMode") + ret = fn(handle, byref(c_defaultState)) + _nvmlCheckReturn(ret) + return [c_defaultState.value] + def nvmlDeviceGetTotalEccErrors(handle, errorType, counterType): c_count = c_ulonglong() fn = _nvmlGetFunctionPointer("nvmlDeviceGetTotalEccErrors") @@ -2153,6 +3726,22 @@ def nvmlDeviceGetDecoderUtilization(handle): _nvmlCheckReturn(ret) return [c_util.value, c_samplingPeriod.value] +def nvmlDeviceGetJpgUtilization(handle): + c_util = c_uint() + c_samplingPeriod = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetJpgUtilization") + ret = fn(handle, byref(c_util), byref(c_samplingPeriod)) + _nvmlCheckReturn(ret) + return [c_util.value, c_samplingPeriod.value] + +def nvmlDeviceGetOfaUtilization(handle): + c_util = c_uint() + c_samplingPeriod = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetOfaUtilization") + ret = fn(handle, byref(c_util), byref(c_samplingPeriod)) + _nvmlCheckReturn(ret) + return [c_util.value, c_samplingPeriod.value] + def nvmlDeviceGetPcieReplayCounter(handle): c_replay = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetPcieReplayCounter") @@ -2177,6 +3766,7 @@ def nvmlDeviceGetPendingDriverModel(handle): return nvmlDeviceGetDriverModel(handle)[1] # Added in 2.285 +@convertStrBytes def nvmlDeviceGetVbiosVersion(handle): c_version = create_string_buffer(NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE) fn = _nvmlGetFunctionPointer("nvmlDeviceGetVbiosVersion") @@ -2190,6 +3780,37 @@ def nvmlDeviceGetComputeRunningProcesses_v2(handle): c_count = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlDeviceGetComputeRunningProcesses_v2") ret = fn(handle, byref(c_count), None) + if (ret == NVML_SUCCESS): + # special case, no running processes + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + # oversize the array incase more processes are created + c_count.value = c_count.value * 2 + 5 + proc_array = c_nvmlProcessInfo_v2_t * c_count.value + c_procs = proc_array() + # make the call again + ret = fn(handle, byref(c_count), c_procs) + _nvmlCheckReturn(ret) + procs = [] + for i in range(c_count.value): + # use an alternative struct for this object + obj = nvmlStructToFriendlyObject(c_procs[i]) + if (obj.usedGpuMemory == NVML_VALUE_NOT_AVAILABLE_ulonglong.value): + # special case for WDDM on Windows, see comment above + obj.usedGpuMemory = None + procs.append(obj) + return procs + else: + # error case + raise NVMLError(ret) + +# Added in 2.285 +def nvmlDeviceGetComputeRunningProcesses_v3(handle): + # first call to get the size + c_count = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetComputeRunningProcesses_v3") + ret = fn(handle, byref(c_count), None) if (ret == NVML_SUCCESS): # special case, no running processes @@ -2198,7 +3819,7 @@ def nvmlDeviceGetComputeRunningProcesses_v2(handle): # typical case # oversize the array incase more processes are created c_count.value = c_count.value * 2 + 5 - proc_array = c_nvmlProcessInfo_t * c_count.value + proc_array = c_nvmlProcessInfo_v3_t * c_count.value c_procs = proc_array() # make the call again @@ -2219,14 +3840,45 @@ def nvmlDeviceGetComputeRunningProcesses_v2(handle): # error case raise NVMLError(ret) +@throwOnVersionMismatch def nvmlDeviceGetComputeRunningProcesses(handle): - return nvmlDeviceGetComputeRunningProcesses_v2(handle); + return nvmlDeviceGetComputeRunningProcesses_v3(handle) def nvmlDeviceGetGraphicsRunningProcesses_v2(handle): # first call to get the size c_count = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlDeviceGetGraphicsRunningProcesses_v2") ret = fn(handle, byref(c_count), None) + if (ret == NVML_SUCCESS): + # special case, no running processes + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + # oversize the array incase more processes are created + c_count.value = c_count.value * 2 + 5 + proc_array = c_nvmlProcessInfo_v2_t * c_count.value + c_procs = proc_array() + # make the call again + ret = fn(handle, byref(c_count), c_procs) + _nvmlCheckReturn(ret) + procs = [] + for i in range(c_count.value): + # use an alternative struct for this object + obj = nvmlStructToFriendlyObject(c_procs[i]) + if (obj.usedGpuMemory == NVML_VALUE_NOT_AVAILABLE_ulonglong.value): + # special case for WDDM on Windows, see comment above + obj.usedGpuMemory = None + procs.append(obj) + return procs + else: + # error case + raise NVMLError(ret) + +def nvmlDeviceGetGraphicsRunningProcesses_v3(handle): + # first call to get the size + c_count = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGraphicsRunningProcesses_v3") + ret = fn(handle, byref(c_count), None) if (ret == NVML_SUCCESS): # special case, no running processes @@ -2235,7 +3887,7 @@ def nvmlDeviceGetGraphicsRunningProcesses_v2(handle): # typical case # oversize the array incase more processes are created c_count.value = c_count.value * 2 + 5 - proc_array = c_nvmlProcessInfo_t * c_count.value + proc_array = c_nvmlProcessInfo_v3_t * c_count.value c_procs = proc_array() # make the call again @@ -2256,11 +3908,13 @@ def nvmlDeviceGetGraphicsRunningProcesses_v2(handle): # error case raise NVMLError(ret) +@throwOnVersionMismatch def nvmlDeviceGetGraphicsRunningProcesses(handle): - return nvmlDeviceGetGraphicsRunningProcesses_v2(handle) + return nvmlDeviceGetGraphicsRunningProcesses_v3(handle) +@throwOnVersionMismatch def nvmlDeviceGetMPSComputeRunningProcesses(handle): - return nvmlDeviceGetMPSComputeRunningProcesses_v2(handle) + return nvmlDeviceGetMPSComputeRunningProcesses_v3(handle) def nvmlDeviceGetMPSComputeRunningProcesses_v2(handle): # first call to get the size @@ -2275,7 +3929,41 @@ def nvmlDeviceGetMPSComputeRunningProcesses_v2(handle): # typical case # oversize the array incase more processes are created c_count.value = c_count.value * 2 + 5 - proc_array = c_nvmlProcessInfo_t * c_count.value + proc_array = c_nvmlProcessInfo_v2_t * c_count.value + c_procs = proc_array() + + # make the call again + ret = fn(handle, byref(c_count), c_procs) + _nvmlCheckReturn(ret) + + procs = [] + for i in range(c_count.value): + # use an alternative struct for this object + obj = nvmlStructToFriendlyObject(c_procs[i]) + if (obj.usedGpuMemory == NVML_VALUE_NOT_AVAILABLE_ulonglong.value): + # special case for WDDM on Windows, see comment above + obj.usedGpuMemory = None + procs.append(obj) + + return procs + else: + # error case + raise NVMLError(ret) + +def nvmlDeviceGetMPSComputeRunningProcesses_v3(handle): + # first call to get the size + c_count = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMPSComputeRunningProcesses_v3") + ret = fn(handle, byref(c_count), None) + + if (ret == NVML_SUCCESS): + # special case, no running processes + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + # oversize the array incase more processes are created + c_count.value = c_count.value * 2 + 5 + proc_array = c_nvmlProcessInfo_v3_t * c_count.value c_procs = proc_array() # make the call again @@ -2296,6 +3984,41 @@ def nvmlDeviceGetMPSComputeRunningProcesses_v2(handle): # error case raise NVMLError(ret) +def nvmlDeviceGetRunningProcessDetailList(handle, version, mode): + c_processDetailList = c_nvmlProcessDetailList_t() + c_processDetailList.version = version + c_processDetailList.mode = mode + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetRunningProcessDetailList") + + # first call to get the size + ret = fn(handle, byref(c_processDetailList)) + if (ret == NVML_SUCCESS): + # special case, no running processes + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + c_procs = c_nvmlProcessDetail_v1_t * c_processDetailList.numProcArrayEntries + c_processDetailList.procArray = cast((c_procs)(), POINTER(c_nvmlProcessDetail_v1_t)) + + # make the call again + ret = fn(handle, byref(c_processDetailList)) + _nvmlCheckReturn(ret) + + procs = [] + for i in range(c_processDetailList.numProcArrayEntries): + # use an alternative struct for this object + obj = c_processDetailList.procArray[i] + if (obj.usedGpuMemory == NVML_VALUE_NOT_AVAILABLE_ulonglong.value): + obj.usedGpuMemory = None + if (obj.usedGpuCcProtectedMemory == NVML_VALUE_NOT_AVAILABLE_ulonglong.value): + obj.usedGpuCcProtectedMemory = None + procs.append(obj) + + return procs + else: + # error case + raise NVMLError(ret) + def nvmlDeviceGetAutoBoostedClocksEnabled(handle): c_isEnabled = _nvmlEnableState_t() c_defaultIsEnabled = _nvmlEnableState_t() @@ -2380,12 +4103,16 @@ def nvmlDeviceResetMemoryLockedClocks(handle): _nvmlCheckReturn(ret) return None -def nvmlDeviceGetClkMonStatus(handle, c_clkMonInfo): +def nvmlDeviceGetClkMonStatus(handle, c_clkMonInfo=nvmlClkMonStatus_t()): + isReference = type(c_clkMonInfo) is not nvmlClkMonStatus_t + c_clkMonInfoRef = c_clkMonInfo if isReference else byref(c_clkMonInfo) fn = _nvmlGetFunctionPointer("nvmlDeviceGetClkMonStatus") - ret = fn(handle, c_clkMonInfo) - return ret + ret = fn(handle, c_clkMonInfoRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else c_clkMonInfo # Added in 4.304 +# Deprecated def nvmlDeviceSetApplicationsClocks(handle, maxMemClockMHz, maxGraphicsClockMHz): fn = _nvmlGetFunctionPointer("nvmlDeviceSetApplicationsClocks") ret = fn(handle, c_uint(maxMemClockMHz), c_uint(maxGraphicsClockMHz)) @@ -2393,6 +4120,7 @@ def nvmlDeviceSetApplicationsClocks(handle, maxMemClockMHz, maxGraphicsClockMHz) return None # Added in 4.304 +# Deprecated def nvmlDeviceResetApplicationsClocks(handle): fn = _nvmlGetFunctionPointer("nvmlDeviceResetApplicationsClocks") ret = fn(handle) @@ -2494,7 +4222,15 @@ def nvmlDeviceGetMaxPcieLinkWidth(handle): _nvmlCheckReturn(ret) return width.value +def nvmlDeviceGetGpuMaxPcieLinkGeneration(handle): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuMaxPcieLinkGeneration") + gen = c_uint() + ret = fn(handle, byref(gen)) + _nvmlCheckReturn(ret) + return gen.value + # Added in 4.304 +# Deprecated def nvmlDeviceGetSupportedClocksThrottleReasons(handle): c_reasons= c_ulonglong() fn = _nvmlGetFunctionPointer("nvmlDeviceGetSupportedClocksThrottleReasons") @@ -2502,7 +4238,15 @@ def nvmlDeviceGetSupportedClocksThrottleReasons(handle): _nvmlCheckReturn(ret) return c_reasons.value +def nvmlDeviceGetSupportedClocksEventReasons(handle): + c_reasons= c_ulonglong() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetSupportedClocksEventReasons") + ret = fn(handle, byref(c_reasons)) + _nvmlCheckReturn(ret) + return c_reasons.value + # Added in 4.304 +# Deprecated def nvmlDeviceGetCurrentClocksThrottleReasons(handle): c_reasons= c_ulonglong() fn = _nvmlGetFunctionPointer("nvmlDeviceGetCurrentClocksThrottleReasons") @@ -2510,6 +4254,13 @@ def nvmlDeviceGetCurrentClocksThrottleReasons(handle): _nvmlCheckReturn(ret) return c_reasons.value +def nvmlDeviceGetCurrentClocksEventReasons(handle): + c_reasons= c_ulonglong() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetCurrentClocksEventReasons") + ret = fn(handle, byref(c_reasons)) + _nvmlCheckReturn(ret) + return c_reasons.value + # Added in 5.319 def nvmlDeviceGetIndex(handle): fn = _nvmlGetFunctionPointer("nvmlDeviceGetIndex") @@ -2658,6 +4409,7 @@ def nvmlDeviceGetSamples(device, sampling_type, timeStamp): _nvmlCheckReturn(ret) return (c_sample_value_type.value, c_samples[0:c_sample_count.value]) +# Deprecated def nvmlDeviceGetViolationStatus(device, perfPolicyType): c_perfPolicy_type = _nvmlPerfPolicyType_t(perfPolicyType) c_violTime = c_nvmlViolationTime_t() @@ -2715,6 +4467,7 @@ def nvmlDeviceGetTopologyCommonAncestor(device1, device2): _nvmlCheckReturn(ret) return c_level.value +# Deprecated def nvmlDeviceGetNvLinkUtilizationCounter(device, link, counter): c_rxcounter = c_ulonglong() c_txcounter = c_ulonglong() @@ -2723,24 +4476,28 @@ def nvmlDeviceGetNvLinkUtilizationCounter(device, link, counter): _nvmlCheckReturn(ret) return (c_rxcounter.value, c_txcounter.value) +# Deprecated def nvmlDeviceFreezeNvLinkUtilizationCounter(device, link, counter, freeze): fn = _nvmlGetFunctionPointer("nvmlDeviceFreezeNvLinkUtilizationCounter") ret = fn(device, link, counter, freeze) _nvmlCheckReturn(ret) return None +# Deprecated def nvmlDeviceResetNvLinkUtilizationCounter(device, link, counter): fn = _nvmlGetFunctionPointer("nvmlDeviceResetNvLinkUtilizationCounter") ret = fn(device, link, counter) _nvmlCheckReturn(ret) return None +# Deprecated def nvmlDeviceSetNvLinkUtilizationControl(device, link, counter, control, reset): fn = _nvmlGetFunctionPointer("nvmlDeviceSetNvLinkUtilizationControl") ret = fn(device, link, counter, byref(control), reset) _nvmlCheckReturn(ret) return None +# Deprecated def nvmlDeviceGetNvLinkUtilizationControl(device, link, counter): c_control = nvmlNvLinkUtilizationControl_t() fn = _nvmlGetFunctionPointer("nvmlDeviceGetNvLinkUtilizationControl") @@ -2836,6 +4593,21 @@ def nvmlDeviceGetFieldValues(handle, fieldIds): _nvmlCheckReturn(ret) return values +def nvmlDeviceClearFieldValues(handle, fieldIds): + values_arr = c_nvmlFieldValue_t * len(fieldIds) + values = values_arr() + fn = _nvmlGetFunctionPointer("nvmlDeviceClearFieldValues") + + for i, fieldId in enumerate(fieldIds): + try: + (values[i].fieldId, values[i].scopeId) = fieldId + except TypeError: + values[i].fieldId = fieldId + + ret = fn(handle, c_int32(len(fieldIds)), byref(values)) + _nvmlCheckReturn(ret) + return values + def nvmlDeviceGetVirtualizationMode(handle): c_virtualization_mode = c_ulonglong() fn = _nvmlGetFunctionPointer("nvmlDeviceGetVirtualizationMode") @@ -2847,6 +4619,95 @@ def nvmlDeviceSetVirtualizationMode(handle, virtualization_mode): fn = _nvmlGetFunctionPointer("nvmlDeviceSetVirtualizationMode") return fn(handle, virtualization_mode) +def nvmlDeviceGetVgpuHeterogeneousMode(handle): + c_vgpuHeterogeneousMode = c_nvmlVgpuHeterogeneousMode_v1_t(0) + c_vgpuHeterogeneousMode.version = VgpuHeterogeneousMode_v1 + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuHeterogeneousMode") + ret = fn(handle, byref(c_vgpuHeterogeneousMode)) + _nvmlCheckReturn(ret) + return c_vgpuHeterogeneousMode.mode + +def nvmlDeviceSetVgpuHeterogeneousMode(handle, heterogeneous_mode): + c_vgpuHeterogeneousMode = c_nvmlVgpuHeterogeneousMode_v1_t(0) + c_vgpuHeterogeneousMode.version = VgpuHeterogeneousMode_v1 + c_vgpuHeterogeneousMode.mode = heterogeneous_mode + fn = _nvmlGetFunctionPointer("nvmlDeviceSetVgpuHeterogeneousMode") + ret = fn(handle, byref(c_vgpuHeterogeneousMode)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlVgpuInstanceGetPlacementId(vgpuInstance): + c_placement = c_nvmlVgpuPlacementId_v1_t(0) + c_placement.version = VgpuPlacementId_v1 + fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetPlacementId") + ret = fn(vgpuInstance, byref(c_placement)) + _nvmlCheckReturn(ret) + return c_placement.placementId + +def nvmlDeviceGetVgpuTypeSupportedPlacements(handle, vgpuTypeId, mode=0, version=1): + c_max_instances = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetMaxInstances") + ret = fn(handle, vgpuTypeId, byref(c_max_instances)) + _nvmlCheckReturn(ret) + + if version == 2: + c_vgpu_placements = c_nvmlVgpuPlacementList_v2_t() + c_vgpu_placements.version = VgpuPlacementList_v2 + c_vgpu_placements.count = c_max_instances.value + c_vgpu_placements.mode = mode + elif version == 1: + c_vgpu_placements = c_nvmlVgpuPlacementList_v1_t() + c_vgpu_placements.version = VgpuPlacementList_v1 + else: + raise NVMLError(NVML_ERROR_ARGUMENT_VERSION_MISMATCH) + + c_placements = c_uint * c_max_instances.value + c_vgpu_placements.placementIds = c_placements() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuTypeSupportedPlacements") + ret = fn(handle, vgpuTypeId, byref(c_vgpu_placements)) + _nvmlCheckReturn(ret) + return c_vgpu_placements + +def nvmlDeviceGetVgpuTypeCreatablePlacements(handle, vgpuTypeId, version=1): + c_max_instances = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetMaxInstances") + ret = fn(handle, vgpuTypeId, byref(c_max_instances)) + _nvmlCheckReturn(ret) + + if version == 2: + c_vgpu_placements = c_nvmlVgpuPlacementList_v2_t() + c_vgpu_placements.version = VgpuPlacementList_v2 + c_vgpu_placements.count = c_max_instances.value + elif version == 1: + c_vgpu_placements = c_nvmlVgpuPlacementList_v1_t() + c_vgpu_placements.version = VgpuPlacementList_v1 + + c_placements = c_uint * c_max_instances.value + c_vgpu_placements.placementIds = c_placements() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuTypeCreatablePlacements") + ret = fn(handle, vgpuTypeId, byref(c_vgpu_placements)) + _nvmlCheckReturn(ret) + return c_vgpu_placements + +def nvmlGetVgpuDriverCapabilities(capability): + c_capResult = c_uint() + fn = _nvmlGetFunctionPointer("nvmlGetVgpuDriverCapabilities") + ret = fn(_nvmlVgpuDriverCapability_t(capability), byref(c_capResult)) + _nvmlCheckReturn(ret) + return c_capResult.value + +def nvmlDeviceGetVgpuCapabilities(handle, capability): + c_capResult = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuCapabilities") + ret = fn(handle, _nvmlDeviceVgpuCapability_t(capability), byref(c_capResult)) + _nvmlCheckReturn(ret) + return c_capResult.value + +def nvmlDeviceSetVgpuCapabilities(handle, capability, state): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetVgpuCapabilities") + ret = fn(handle, _nvmlDeviceVgpuCapability_t(capability), state) + _nvmlCheckReturn(ret) + return NVML_SUCCESS def nvmlDeviceGetSupportedVgpus(handle): # first call to get the size @@ -2907,6 +4768,7 @@ def nvmlVgpuTypeGetGpuInstanceProfileId(vgpuTypeId): _nvmlCheckReturn(ret) return (c_profile_id.value) +@convertStrBytes def nvmlVgpuTypeGetClass(vgpuTypeId): c_class = create_string_buffer(NVML_DEVICE_NAME_BUFFER_SIZE) c_buffer_size = c_uint(NVML_DEVICE_NAME_BUFFER_SIZE) @@ -2915,6 +4777,7 @@ def nvmlVgpuTypeGetClass(vgpuTypeId): _nvmlCheckReturn(ret) return c_class.value +@convertStrBytes def nvmlVgpuTypeGetName(vgpuTypeId): c_name = create_string_buffer(NVML_DEVICE_NAME_BUFFER_SIZE) c_buffer_size = c_uint(NVML_DEVICE_NAME_BUFFER_SIZE) @@ -2953,6 +4816,7 @@ def nvmlVgpuTypeGetResolution(vgpuTypeId): _nvmlCheckReturn(ret) return (c_xdim.value, c_ydim.value) +@convertStrBytes def nvmlVgpuTypeGetLicense(vgpuTypeId): c_license = create_string_buffer(NVML_GRID_LICENSE_BUFFER_SIZE) c_buffer_size = c_uint(NVML_GRID_LICENSE_BUFFER_SIZE) @@ -2968,6 +4832,28 @@ def nvmlVgpuTypeGetFrameRateLimit(vgpuTypeId): _nvmlCheckReturn(ret) return c_frl_config.value +def nvmlVgpuTypeGetGspHeapSize(vgpuTypeId): + c_gsp_heap = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetGspHeapSize") + ret = fn(vgpuTypeId, byref(c_gsp_heap)) + _nvmlCheckReturn(ret) + return c_gsp_heap.value + +def nvmlVgpuTypeGetFbReservation(vgpuTypeId): + c_fb_reservation = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetFbReservation") + ret = fn(vgpuTypeId, byref(c_fb_reservation)) + _nvmlCheckReturn(ret) + return c_fb_reservation.value + +def nvmlVgpuInstanceGetRuntimeStateSize(vgpuInstance): + c_runtime_state = nvmlVgpuRuntimeState_v1_t() + c_runtime_state.version = VgpuRuntimeState_v1 + fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetRuntimeStateSize") + ret = fn(vgpuInstance, byref(c_runtime_state)) + _nvmlCheckReturn(ret) + return c_runtime_state + def nvmlVgpuTypeGetMaxInstances(handle, vgpuTypeId): c_max_instances = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetMaxInstances") @@ -2982,6 +4868,14 @@ def nvmlVgpuTypeGetMaxInstancesPerVm(vgpuTypeId): _nvmlCheckReturn(ret) return c_max_instances_per_vm.value +def nvmlVgpuTypeGetBAR1Info(vgpuTypeId): + c_bar1Info = c_nvmlVgpuTypeBar1Info_v1_t(0) + c_bar1Info.version = VgpuTypeBar1Info_v1 + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetBAR1Info") + ret = fn(vgpuTypeId, byref(c_bar1Info)) + _nvmlCheckReturn(ret) + return c_bar1Info + def nvmlDeviceGetActiveVgpus(handle): # first call to get the size c_vgpu_count = c_uint(0) @@ -3008,6 +4902,7 @@ def nvmlDeviceGetActiveVgpus(handle): # error case raise NVMLError(ret) +@convertStrBytes def nvmlVgpuInstanceGetVmID(vgpuInstance): c_vm_id = create_string_buffer(NVML_DEVICE_UUID_BUFFER_SIZE) c_buffer_size = c_uint(NVML_GRID_LICENSE_BUFFER_SIZE) @@ -3017,6 +4912,7 @@ def nvmlVgpuInstanceGetVmID(vgpuInstance): _nvmlCheckReturn(ret) return (c_vm_id.value, c_vm_id_type.value) +@convertStrBytes def nvmlVgpuInstanceGetUUID(vgpuInstance): c_uuid = create_string_buffer(NVML_DEVICE_UUID_BUFFER_SIZE) c_buffer_size = c_uint(NVML_DEVICE_UUID_BUFFER_SIZE) @@ -3025,6 +4921,7 @@ def nvmlVgpuInstanceGetUUID(vgpuInstance): _nvmlCheckReturn(ret) return c_uuid.value +@convertStrBytes def nvmlVgpuInstanceGetMdevUUID(vgpuInstance): c_uuid = create_string_buffer(NVML_DEVICE_UUID_BUFFER_SIZE) c_buffer_size = c_uint(NVML_DEVICE_UUID_BUFFER_SIZE) @@ -3033,6 +4930,7 @@ def nvmlVgpuInstanceGetMdevUUID(vgpuInstance): _nvmlCheckReturn(ret) return c_uuid.value +@convertStrBytes def nvmlVgpuInstanceGetVmDriverVersion(vgpuInstance): c_driver_version = create_string_buffer(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE) c_buffer_size = c_uint(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE) @@ -3041,6 +4939,7 @@ def nvmlVgpuInstanceGetVmDriverVersion(vgpuInstance): _nvmlCheckReturn(ret) return c_driver_version.value +# Deprecated def nvmlVgpuInstanceGetLicenseStatus(vgpuInstance): c_license_status = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetLicenseStatus") @@ -3048,13 +4947,16 @@ def nvmlVgpuInstanceGetLicenseStatus(vgpuInstance): _nvmlCheckReturn(ret) return c_license_status.value -def nvmlVgpuInstanceGetLicenseInfo(vgpuInstance): - fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetLicenseInfo") +def nvmlVgpuInstanceGetLicenseInfo_v2(vgpuInstance): + fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetLicenseInfo_v2") c_license_info = c_nvmlVgpuLicenseInfo_t() ret = fn(vgpuInstance, byref(c_license_info)) _nvmlCheckReturn(ret) return c_license_info +def nvmlVgpuInstanceGetLicenseInfo(vgpuInstance): + return nvmlVgpuInstanceGetLicenseInfo_v2(vgpuInstance) + def nvmlVgpuInstanceGetFrameRateLimit(vgpuInstance): c_frl = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetFrameRateLimit") @@ -3094,6 +4996,13 @@ def nvmlVgpuInstanceGetFbUsage(vgpuInstance): _nvmlCheckReturn(ret) return c_fb_usage.value +def nvmlVgpuTypeGetCapabilities(vgpuTypeId, capability): + c_cap_result = c_uint(0) + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetCapabilities") + ret = fn(vgpuTypeId, _nvmlVgpuCapability_t(capability), byref(c_cap_result)) + _nvmlCheckReturn(ret) + return (c_cap_result.value) + def nvmlVgpuInstanceGetGpuInstanceId(vgpuInstance): c_id = c_uint(0) fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetGpuInstanceId") @@ -3101,6 +5010,14 @@ def nvmlVgpuInstanceGetGpuInstanceId(vgpuInstance): _nvmlCheckReturn(ret) return (c_id.value) +@convertStrBytes +def nvmlVgpuInstanceGetGpuPciId(vgpuInstance): + c_vgpuPciId = create_string_buffer(NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE) + fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetGpuPciId") + ret = fn(vgpuInstance, c_vgpuPciId, byref(c_uint(NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE))) + _nvmlCheckReturn(ret) + return c_vgpuPciId.value + def nvmlDeviceGetVgpuUtilization(handle, timeStamp): # first call to get the size c_vgpu_count = c_uint(0) @@ -3127,6 +5044,36 @@ def nvmlDeviceGetVgpuUtilization(handle, timeStamp): # error case raise NVMLError(ret) +def nvmlDeviceGetVgpuInstancesUtilizationInfo(handle, timeStamp): + # first call to get the size + c_time_stamp = c_ulonglong(timeStamp) + c_vgpuUtilInfo = c_nvmlVgpuInstancesUtilizationInfo_v1_t(0) + c_vgpuUtilInfo.version = VgpuInstancesUtilizationInfo_v1 + c_vgpuUtilInfo.sampleValType = _nvmlValueType_t() + c_vgpuUtilInfo.vgpuInstanceCount = c_uint(0) + c_vgpuUtilInfo.lastSeenTimeStamp = c_time_stamp + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuInstancesUtilizationInfo") + ret = fn(handle, byref(c_vgpuUtilInfo)) + + if (ret == NVML_SUCCESS): + # special case, no active vGPUs + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + sampleArray = c_vgpuUtilInfo.vgpuInstanceCount * c_nvmlVgpuInstanceUtilizationInfo_v1_t + c_samples = sampleArray() + c_vgpuUtilInfo.vgpuUtilArray = c_samples + + # make the call again + ret = fn(handle, byref(c_vgpuUtilInfo)) + _nvmlCheckReturn(ret) + + return c_samples[0:c_vgpuUtilInfo.vgpuInstanceCount] + else: + # error case + raise NVMLError(ret) + def nvmlDeviceGetP2PStatus(device1, device2, p2pIndex): c_p2pstatus = _nvmlGpuP2PStatus_t() fn = _nvmlGetFunctionPointer("nvmlDeviceGetP2PStatus") @@ -3145,9 +5092,27 @@ def nvmlDeviceGetGridLicensableFeatures_v4(handle): def nvmlDeviceGetGridLicensableFeatures(handle): return nvmlDeviceGetGridLicensableFeatures_v4(handle) -def nvmlDeviceGetEncoderCapacity(handle, encoderQueryType): - c_encoder_capacity = c_ulonglong(0) - c_encoderQuery_type = _nvmlEncoderQueryType_t(encoderQueryType) +def nvmlDeviceGetGspFirmwareVersion(handle, version=None): + isUserDefined = version is not None + if not isUserDefined: + version = (c_char * NVML_GSP_FIRMWARE_VERSION_BUF_SIZE)() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGspFirmwareVersion") + ret = fn(handle, version) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isUserDefined else version.value + +def nvmlDeviceGetGspFirmwareMode(handle, isEnabled=c_uint(), defaultMode=c_uint()): + isReference = type(isEnabled) is not c_uint + isEnabledRef = isEnabled if isReference else byref(isEnabled) + defaultModeRef = defaultMode if isReference else byref(defaultMode) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGspFirmwareMode") + ret = fn(handle, isEnabledRef, defaultModeRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else [isEnabled.value, defaultMode.value] + +def nvmlDeviceGetEncoderCapacity(handle, encoderQueryType): + c_encoder_capacity = c_ulonglong(0) + c_encoderQuery_type = _nvmlEncoderQueryType_t(encoderQueryType) fn = _nvmlGetFunctionPointer("nvmlDeviceGetEncoderCapacity") ret = fn(handle, c_encoderQuery_type, byref(c_encoder_capacity)) @@ -3179,6 +5144,35 @@ def nvmlDeviceGetVgpuProcessUtilization(handle, timeStamp): # error case raise NVMLError(ret) +def nvmlDeviceGetVgpuProcessesUtilizationInfo(handle, timeStamp): + # first call to get the size + c_time_stamp = c_ulonglong(timeStamp) + c_vgpuProcUtilInfo = c_nvmlVgpuProcessesUtilizationInfo_v1_t(0) + c_vgpuProcUtilInfo.version = VgpuProcessesUtilizationInfo_v1 + c_vgpuProcUtilInfo.vgpuProcessCount = c_uint(0) + c_vgpuProcUtilInfo.lastSeenTimeStamp = c_time_stamp + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuProcessesUtilizationInfo") + ret = fn(handle, byref(c_vgpuProcUtilInfo)) + + if (ret == NVML_SUCCESS): + # special case, no active vGPUs + return [] + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + sampleArray = c_vgpuProcUtilInfo.vgpuProcessCount * c_nvmlVgpuProcessUtilizationInfo_v1_t + c_samples = sampleArray() + c_vgpuProcUtilInfo.vgpuProcUtilArray = c_samples + + # make the call again + ret = fn(handle, byref(c_vgpuProcUtilInfo)) + _nvmlCheckReturn(ret) + + return c_samples[0:c_vgpuProcUtilInfo.vgpuProcessCount] + else: + # error case + raise NVMLError(ret) + def nvmlDeviceGetEncoderStats(handle): c_encoderCount = c_ulonglong(0) c_encodeFps = c_ulonglong(0) @@ -3337,6 +5331,32 @@ def nvmlDeviceGetProcessUtilization(handle, timeStamp): # error case raise NVMLError(ret) +def nvmlDeviceGetProcessesUtilizationInfo(handle, timeStamp): + # first call to get the size + c_time_stamp = c_ulonglong(timeStamp) + c_processesUtilInfo = c_nvmlProcessesUtilizationInfo_v1_t(0) + c_processesUtilInfo.version = ProcessesUtilizationInfo_v1 + c_processesUtilInfo.processSamplesCount = c_uint(0) + c_processesUtilInfo.lastSeenTimeStamp = c_time_stamp + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetProcessesUtilizationInfo") + ret = fn(handle, byref(c_processesUtilInfo)) + + if (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + sampleArray = c_processesUtilInfo.processSamplesCount * c_nvmlProcessUtilizationInfo_v1_t + c_samples = sampleArray() + c_processesUtilInfo.procUtilArray = c_samples + + # make the call again + ret = fn(handle, byref(c_processesUtilInfo)) + _nvmlCheckReturn(ret) + + return c_samples[0:c_processesUtilInfo.processSamplesCount] + else: + # error case + raise NVMLError(ret) + def nvmlVgpuInstanceGetMetadata(vgpuInstance): fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceGetMetadata") c_vgpuMetadata = c_nvmlVgpuMetadata_t() @@ -3372,6 +5392,7 @@ def nvmlGetVgpuCompatibility(vgpuMetadata, pgpuMetadata): _nvmlCheckReturn(ret) return c_vgpuPgpuCompatibility +@convertStrBytes def nvmlDeviceGetPgpuMetadataString(handle): fn = _nvmlGetFunctionPointer("nvmlDeviceGetPgpuMetadataString") c_pgpuMetadata = create_string_buffer(NVML_VGPU_PGPU_METADATA_OPAQUE_DATA_SIZE) @@ -3386,17 +5407,51 @@ def nvmlDeviceGetPgpuMetadataString(handle): raise NVMLError(ret) return (c_pgpuMetadata.value, c_bufferSize.value) +def nvmlDeviceGetVgpuSchedulerLog(handle): + c_vgpu_sched_log = c_nvmlVgpuSchedulerLog_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuSchedulerLog") + ret = fn(handle, byref(c_vgpu_sched_log)) + _nvmlCheckReturn(ret) + return c_vgpu_sched_log + +def nvmlDeviceGetVgpuSchedulerState(handle): + c_vgpu_sched_state = c_nvmlVgpuSchedulerGetState_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuSchedulerState") + ret = fn(handle, byref(c_vgpu_sched_state)) + _nvmlCheckReturn(ret) + return c_vgpu_sched_state + +def nvmlDeviceGetVgpuSchedulerCapabilities(handle): + c_vgpu_sched_caps = c_nvmlVgpuSchedulerCapabilities_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetVgpuSchedulerCapabilities") + ret = fn(handle, byref(c_vgpu_sched_caps)) + _nvmlCheckReturn(ret) + return c_vgpu_sched_caps + +def nvmlDeviceSetVgpuSchedulerState(handle, sched_state): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetVgpuSchedulerState") + ret = fn(handle, byref(sched_state)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + def nvmlSetVgpuVersion(vgpuVersion): fn = _nvmlGetFunctionPointer("nvmlSetVgpuVersion") ret = fn(byref(vgpuVersion)) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS -def nvmlGetVgpuVersion(supported, current): +def nvmlGetVgpuVersion(supported=None, current=None): + isUserDefined = (supported is not None) or (current is not None) + if not isUserDefined: + supported = c_nvmlVgpuVersion_t() + current = c_nvmlVgpuVersion_t() fn = _nvmlGetFunctionPointer("nvmlGetVgpuVersion") ret = fn(byref(supported), byref(current)) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS if isUserDefined else [(supported.minVersion, + supported.maxVersion), + (current.minVersion, + current.maxVersion)] def nvmlVgpuInstanceGetAccountingMode(vgpuInstance): c_mode = _nvmlEnableState_t() @@ -3429,8 +5484,108 @@ def nvmlVgpuInstanceClearAccountingPids(vgpuInstance): fn = _nvmlGetFunctionPointer("nvmlVgpuInstanceClearAccountingPids") ret = fn(vgpuInstance) _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlGpuInstanceGetCreatableVgpus(gpuInstance, c_vgpus): + c_vgpus.vgpuCount = 0; + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetCreatableVgpus") + ret = fn(gpuInstance, byref(c_vgpus)) + + if (ret == NVML_SUCCESS): + # special case, no supported vGPUs + return c_vgpus + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + vgpu_type_ids_array = _nvmlVgpuTypeId_t * c_vgpus.vgpuCount + c_vgpus.vgpuTypeIds = vgpu_type_ids_array() + ret = fn(gpuInstance, byref(c_vgpus)) + _nvmlCheckReturn(ret) + + return c_vgpus + else: + raise NVMLError(ret) + +def nvmlVgpuTypeGetMaxInstancesPerGpuInstance(vgpuTypeId): + c_max_instances = c_nvmlVgpuTypeMaxInstance_v1_t() + c_max_instances.version = nvmlVgpuTypeMaxInstance_v1 + c_max_instances.vgpuTypeId = vgpuTypeId + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetMaxInstancesPerGpuInstance") + ret = fn(byref(c_max_instances)) + _nvmlCheckReturn(ret) + return c_max_instances.maxInstancePerGI + +def nvmlGpuInstanceGetActiveVgpus(gpuInstance, c_vgpu_instance_info): + c_vgpu_instance_info.vgpuCount = c_uint(0) + + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetActiveVgpus") + ret = fn(gpuInstance, byref(c_vgpu_instance_info)) + + if (ret == NVML_SUCCESS): + # special case, no active vGPUs + return c_vgpu_instance_info + elif (ret == NVML_ERROR_INSUFFICIENT_SIZE): + # typical case + vgpu_instance_array = _nvmlVgpuInstance_t * c_vgpu_instance_info.vgpuCount + c_vgpu_instance_info.vgpuInstances = vgpu_instance_array() + + # make the call again + ret = fn(gpuInstance, byref(c_vgpu_instance_info)) + _nvmlCheckReturn(ret) + return c_vgpu_instance_info + else: + raise NVMLError(ret) + +def nvmlGpuInstanceSetVgpuSchedulerState(gpuInstance, sched_state): + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceSetVgpuSchedulerState") + ret = fn(gpuInstance, byref(sched_state)) + _nvmlCheckReturn(ret) return ret +def nvmlGpuInstanceGetVgpuSchedulerState(gpuInstance, c_vgpu_sched_state_info): + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetVgpuSchedulerState") + ret = fn(gpuInstance, byref(c_vgpu_sched_state_info)) + _nvmlCheckReturn(ret) + return c_vgpu_sched_state_info + +def nvmlGpuInstanceGetVgpuSchedulerLog(gpuInstance, c_vgpu_sched_log_info): + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetVgpuSchedulerLog") + ret = fn(gpuInstance, byref(c_vgpu_sched_log_info)) + _nvmlCheckReturn(ret) + return c_vgpu_sched_log_info + +def nvmlGpuInstanceGetVgpuTypeCreatablePlacements(gpuInstance, c_vgpu_placements): + c_max_instances = c_nvmlVgpuTypeMaxInstance_v1_t() + c_max_instances.version = nvmlVgpuTypeMaxInstance_v1 + c_max_instances.vgpuTypeId = c_vgpu_placements.vgpuTypeId + fn = _nvmlGetFunctionPointer("nvmlVgpuTypeGetMaxInstancesPerGpuInstance") + ret = fn(byref(c_max_instances)) + _nvmlCheckReturn(ret) + + c_vgpu_placements.count = c_max_instances.maxInstancePerGI + + c_placements = c_uint * c_max_instances.maxInstancePerGI + c_vgpu_placements.placementIds = c_placements() + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetVgpuTypeCreatablePlacements") + ret = fn(gpuInstance, byref(c_vgpu_placements)) + _nvmlCheckReturn(ret) + return c_vgpu_placements + +def nvmlGpuInstanceGetVgpuHeterogeneousMode(gpuInstance): + c_vgpuHeterogeneousMode = c_nvmlVgpuHeterogeneousMode_v1_t(0) + c_vgpuHeterogeneousMode.version = VgpuHeterogeneousMode_v1 + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetVgpuHeterogeneousMode") + ret = fn(gpuInstance, byref(c_vgpuHeterogeneousMode)) + _nvmlCheckReturn(ret) + return c_vgpuHeterogeneousMode.mode + +def nvmlGpuInstanceSetVgpuHeterogeneousMode(gpuInstance, heterogeneous_mode): + c_vgpuHeterogeneousMode = c_nvmlVgpuHeterogeneousMode_v1_t(0) + c_vgpuHeterogeneousMode.version = VgpuHeterogeneousMode_v1 + c_vgpuHeterogeneousMode.mode = heterogeneous_mode + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceSetVgpuHeterogeneousMode") + ret = fn(gpuInstance, byref(c_vgpuHeterogeneousMode)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + def nvmlGetExcludedDeviceCount(): c_count = c_uint() fn = _nvmlGetFunctionPointer("nvmlGetExcludedDeviceCount") @@ -3468,13 +5623,31 @@ def nvmlDeviceGetMigMode(device): _nvmlCheckReturn(ret) return [c_currentMode.value, c_pendingMode.value] -def nvmlDeviceGetGpuInstanceProfileInfo(device, profile): - c_info = c_nvmlGpuInstanceProfileInfo_t() - fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstanceProfileInfo") +def nvmlDeviceGetGpuInstanceProfileInfo(device, profile, version=2): + if version == 2: + c_info = c_nvmlGpuInstanceProfileInfo_v2_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstanceProfileInfoV") + elif version == 1: + c_info = c_nvmlGpuInstanceProfileInfo_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstanceProfileInfo") + else: + raise NVMLError(NVML_ERROR_FUNCTION_NOT_FOUND) ret = fn(device, profile, byref(c_info)) _nvmlCheckReturn(ret) return c_info +def nvmlDeviceGetGpuInstanceProfileInfoById(device, profileId): + c_info = c_nvmlGpuInstanceProfileInfo_v2_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstanceProfileInfoByIdV") + + ret = fn(device, profileId, byref(c_info)) + _nvmlCheckReturn(ret) + return c_info + +# Define function alias for the API exposed by NVML +nvmlDeviceGetGpuInstanceProfileInfoV = nvmlDeviceGetGpuInstanceProfileInfo +nvmlDeviceGetGpuInstanceProfileInfoByIdV = nvmlDeviceGetGpuInstanceProfileInfoById + def nvmlDeviceGetGpuInstanceRemainingCapacity(device, profileId): c_count = c_uint() fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstanceRemainingCapacity") @@ -3486,7 +5659,7 @@ def nvmlDeviceGetGpuInstancePossiblePlacements(device, profileId, placementsRef, fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstancePossiblePlacements_v2") ret = fn(device, profileId, placementsRef, countRef) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS def nvmlDeviceCreateGpuInstance(device, profileId): c_instance = c_nvmlGpuInstance_t() @@ -3506,13 +5679,13 @@ def nvmlGpuInstanceDestroy(gpuInstance): fn = _nvmlGetFunctionPointer("nvmlGpuInstanceDestroy") ret = fn(gpuInstance) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS def nvmlDeviceGetGpuInstances(device, profileId, gpuInstancesRef, countRef): fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuInstances") ret = fn(device, profileId, gpuInstancesRef, countRef) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS def nvmlDeviceGetGpuInstanceById(device, gpuInstanceId): c_instance = c_nvmlGpuInstance_t() @@ -3528,13 +5701,22 @@ def nvmlGpuInstanceGetInfo(gpuInstance): _nvmlCheckReturn(ret) return c_info -def nvmlGpuInstanceGetComputeInstanceProfileInfo(device, profile, engProfile): - c_info = c_nvmlComputeInstanceProfileInfo_t() - fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstanceProfileInfo") +def nvmlGpuInstanceGetComputeInstanceProfileInfo(device, profile, engProfile, version=2): + if version == 2: + c_info = c_nvmlComputeInstanceProfileInfo_v2_t() + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstanceProfileInfoV") + elif version == 1: + c_info = c_nvmlComputeInstanceProfileInfo_t() + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstanceProfileInfo") + else: + raise NVMLError(NVML_ERROR_FUNCTION_NOT_FOUND) ret = fn(device, profile, engProfile, byref(c_info)) _nvmlCheckReturn(ret) return c_info +# Define function alias for the API exposed by NVML +nvmlGpuInstanceGetComputeInstanceProfileInfoV = nvmlGpuInstanceGetComputeInstanceProfileInfo + def nvmlGpuInstanceGetComputeInstanceRemainingCapacity(gpuInstance, profileId): c_count = c_uint() fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstanceRemainingCapacity") @@ -3542,6 +5724,12 @@ def nvmlGpuInstanceGetComputeInstanceRemainingCapacity(gpuInstance, profileId): _nvmlCheckReturn(ret) return c_count.value +def nvmlGpuInstanceGetComputeInstancePossiblePlacements(gpuInstance, profileId, placementsRef, countRef): + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstancePossiblePlacements") + ret = fn(gpuInstance, profileId, placementsRef, countRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + def nvmlGpuInstanceCreateComputeInstance(gpuInstance, profileId): c_instance = c_nvmlComputeInstance_t() fn = _nvmlGetFunctionPointer("nvmlGpuInstanceCreateComputeInstance") @@ -3549,17 +5737,24 @@ def nvmlGpuInstanceCreateComputeInstance(gpuInstance, profileId): _nvmlCheckReturn(ret) return c_instance +def nvmlGpuInstanceCreateComputeInstanceWithPlacement(gpuInstance, profileId, placement): + c_instance = c_nvmlComputeInstance_t() + fn = _nvmlGetFunctionPointer("nvmlGpuInstanceCreateComputeInstanceWithPlacement") + ret = fn(gpuInstance, profileId, placement, byref(c_instance)) + _nvmlCheckReturn(ret) + return c_instance + def nvmlComputeInstanceDestroy(computeInstance): fn = _nvmlGetFunctionPointer("nvmlComputeInstanceDestroy") ret = fn(computeInstance) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS def nvmlGpuInstanceGetComputeInstances(gpuInstance, profileId, computeInstancesRef, countRef): fn = _nvmlGetFunctionPointer("nvmlGpuInstanceGetComputeInstances") ret = fn(gpuInstance, profileId, computeInstancesRef, countRef) _nvmlCheckReturn(ret) - return ret + return NVML_SUCCESS def nvmlGpuInstanceGetComputeInstanceById(gpuInstance, computeInstanceId): c_instance = c_nvmlComputeInstance_t() @@ -3668,3 +5863,1058 @@ def nvmlDeviceGetIrqNum(device): ret = fn(device, byref(c_irqNum)) _nvmlCheckReturn(ret) return c_irqNum.value + +def nvmlDeviceGetNumGpuCores(device): + c_numCores = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNumGpuCores") + ret = fn(device, byref(c_numCores)) + _nvmlCheckReturn(ret) + return c_numCores.value + +def nvmlDeviceGetPowerSource(device): + c_powerSource = _nvmlPowerSource_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPowerSource") + ret = fn(device, byref(c_powerSource)) + _nvmlCheckReturn(ret) + return c_powerSource.value + +def nvmlDeviceGetMemoryBusWidth(device): + c_memBusWidth = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemoryBusWidth") + ret = fn(device, byref(c_memBusWidth)) + _nvmlCheckReturn(ret) + return c_memBusWidth.value + +def nvmlDeviceGetPcieLinkMaxSpeed(device): + c_speed = _nvmlPcieLinkMaxSpeed_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPcieLinkMaxSpeed") + ret = fn(device, byref(c_speed)) + _nvmlCheckReturn(ret) + return c_speed.value + +def nvmlDeviceGetAdaptiveClockInfoStatus(device): + c_adaptiveClockInfoStatus = _nvmlAdaptiveClockInfoStatus_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetAdaptiveClockInfoStatus") + ret = fn(device, byref(c_adaptiveClockInfoStatus)) + _nvmlCheckReturn(ret) + return c_adaptiveClockInfoStatus.value + +def nvmlDeviceGetPcieSpeed(device): + c_speed = c_uint() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPcieSpeed") + ret = fn(device, byref(c_speed)) + _nvmlCheckReturn(ret) + return c_speed.value + +def nvmlDeviceGetDynamicPstatesInfo(device, c_dynamicpstatesinfo=c_nvmlGpuDynamicPstatesInfo_t()): + isReference = type(c_dynamicpstatesinfo) is not c_nvmlGpuDynamicPstatesInfo_t + dynamicpstatesinfoRef = c_dynamicpstatesinfo if isReference else byref(c_dynamicpstatesinfo) + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetDynamicPstatesInfo"); + ret = fn(device, dynamicpstatesinfoRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else c_dynamicpstatesinfo + +def nvmlDeviceSetFanSpeed_v2(handle, index, speed): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetFanSpeed_v2"); + ret = fn(handle, index, speed) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetThermalSettings(device, sensorindex, c_thermalsettings=c_nvmlGpuThermalSettings_t()): + isReference = type(c_thermalsettings) is not c_nvmlGpuThermalSettings_t + thermalsettingsRef = c_thermalsettings if isReference else byref(c_thermalsettings) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetThermalSettings"); + ret = fn(device, sensorindex, thermalsettingsRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else c_thermalsettings.sensor[:] + +def nvmlDeviceGetMinMaxClockOfPState(device, clockType, pstate, minClockMHz=c_uint(), maxClockMHz=c_uint()): + isReference = (type(minClockMHz) is not c_uint) or (type(maxClockMHz) is not c_uint) + minClockMHzRef = minClockMHz if isReference else byref(minClockMHz) + maxClockMHzRef = maxClockMHz if isReference else byref(maxClockMHz) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMinMaxClockOfPState"); + ret = fn(device, _nvmlClockType_t(clockType), _nvmlClockType_t(pstate), minClockMHzRef, maxClockMHzRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else (minClockMHz.value, maxClockMHz.value) + +_nvmlPowerMizerMode_t = c_uint +NVML_POWER_MIZER_MODE_ADAPTIVE = 0 +NVML_POWER_MIZER_MODE_PREFER_MAXIMUM_PERFORMANCE = 1 +NVML_POWER_MIZER_MODE_AUTO = 2 +NVML_POWER_MIZER_MODE_PREFER_CONSISTENT_PERFORMANCE = 3 + +class c_nvmlDevicePowerMizerModes_v1_t(_PrintableStructure): + _fields_ = [ + ('currentMode', _nvmlPowerMizerMode_t), + ('mode', _nvmlPowerMizerMode_t), + ('supportedPowerMizerModes', _nvmlPowerMizerMode_t), + ] + +def nvmlDeviceGetPowerMizerMode_v1(device, info): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPowerMizerMode_v1"); + ret = fn(device, info) + return ret + +def nvmlDeviceSetPowerMizerMode_v1(device, info): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetPowerMizerMode_v1"); + ret = fn(device, info) + return ret + +class c_nvmlClockOffset_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('type', _nvmlClockType_t), + ('pstate', _nvmlPstates_t), + ('clockOffsetMHz', c_int), + ('minClockOffsetMHz', c_int), + ('maxClockOffsetMHz', c_int), + ] + +nvmlClockOffset_v1 = 0x1000018 + +def nvmlDeviceGetClockOffsets(device, info): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetClockOffsets"); + ret = fn(device, info) + return NVML_SUCCESS + +def nvmlDeviceSetClockOffsets(device, info): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetClockOffsets"); + ret = fn(device, info) + return NVML_SUCCESS + +def nvmlDeviceGetSupportedPerformanceStates(device): + pstates = [] + c_count = c_uint(NVML_MAX_GPU_PERF_PSTATES) + c_size = sizeof(c_uint)*c_count.value + + # NOTE: use 'c_uint' to represent the size of the nvmlPstate_t enumeration. + pstates_array = _nvmlPstates_t * c_count.value + c_pstates = pstates_array() + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetSupportedPerformanceStates") + ret = fn(device, c_pstates, c_size) + _nvmlCheckReturn(ret) + + for value in c_pstates: + if value != NVML_PSTATE_UNKNOWN: + pstates.append(value) + + return pstates + +def nvmlDeviceGetGpcClkVfOffset(device): + offset = c_int32() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpcClkVfOffset") + ret = fn(device, byref(offset)) + _nvmlCheckReturn(ret) + return offset.value + +# Deprecated +def nvmlDeviceSetGpcClkVfOffset(device, offset): + c_offset = c_int32(offset) + fn = _nvmlGetFunctionPointer("nvmlDeviceSetGpcClkVfOffset") + ret = fn(device, c_offset) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetGpcClkMinMaxVfOffset(device, minOffset=c_int(), maxOffset=c_int()): + isReference = (type(minOffset) is not c_int) or (type(maxOffset) is not c_int) + minOffsetRef = minOffset if isReference else byref(minOffset) + maxOffsetRef = maxOffset if isReference else byref(maxOffset) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpcClkMinMaxVfOffset") + ret = fn(device, minOffsetRef, maxOffsetRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else (minOffset.value, maxOffset.value) + +def nvmlDeviceGetMemClkVfOffset(device): + offset = c_int32() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemClkVfOffset") + ret = fn(device, byref(offset)) + _nvmlCheckReturn(ret) + return offset.value + +# Deprecated +def nvmlDeviceSetMemClkVfOffset(device, offset): + c_offset = c_int32(offset) + fn = _nvmlGetFunctionPointer("nvmlDeviceSetMemClkVfOffset") + ret = fn(device, c_offset) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetMemClkMinMaxVfOffset(device, minOffset=c_int(), maxOffset=c_int()): + isReference = (type(minOffset) is not c_int) or (type(maxOffset) is not c_int) + minOffsetRef = minOffset if isReference else byref(minOffset) + maxOffsetRef = maxOffset if isReference else byref(maxOffset) + + fn = _nvmlGetFunctionPointer("nvmlDeviceGetMemClkMinMaxVfOffset") + ret = fn(device, minOffsetRef, maxOffsetRef) + _nvmlCheckReturn(ret) + return NVML_SUCCESS if isReference else (minOffset.value, maxOffset.value) + +def nvmlSystemSetConfComputeGpusReadyState(state): + c_state = c_uint(state) + fn = _nvmlGetFunctionPointer("nvmlSystemSetConfComputeGpusReadyState") + ret = fn(c_state) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlSystemGetConfComputeGpusReadyState(): + c_state = c_uint() + fn = _nvmlGetFunctionPointer("nvmlSystemGetConfComputeGpusReadyState") + ret = fn(byref(c_state)) + _nvmlCheckReturn(ret) + return c_state.value + +def nvmlSystemGetConfComputeCapabilities(): + c_ccSysCaps = c_nvmlConfComputeSystemCaps_t() + fn = _nvmlGetFunctionPointer("nvmlSystemGetConfComputeCapabilities") + ret = fn(byref(c_ccSysCaps)) + _nvmlCheckReturn(ret) + return c_ccSysCaps + +def nvmlSystemGetConfComputeState(): + c_state = c_nvmlConfComputeSystemState_t() + fn = _nvmlGetFunctionPointer("nvmlSystemGetConfComputeState") + ret = fn(byref(c_state)) + _nvmlCheckReturn(ret) + return c_state + +def nvmlSystemGetConfComputeSettings(settings): + fn = _nvmlGetFunctionPointer("nvmlSystemGetConfComputeSettings") + return fn(settings) + +def nvmlDeviceSetConfComputeUnprotectedMemSize(device, c_ccMemSize): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetConfComputeUnprotectedMemSize") + ret = fn(device, c_ccMemSize) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetConfComputeMemSizeInfo(device): + c_ccMemSize = c_nvmlConfComputeMemSizeInfo_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetConfComputeMemSizeInfo") + ret = fn(device, byref(c_ccMemSize)) + _nvmlCheckReturn(ret) + return c_ccMemSize + +def nvmlDeviceGetConfComputeProtectedMemoryUsage(device): + c_memory = c_nvmlMemory_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetConfComputeProtectedMemoryUsage") + ret = fn(device, byref(c_memory)) + _nvmlCheckReturn(ret) + return c_memory + +def nvmlDeviceGetConfComputeGpuCertificate(device): + c_cert = c_nvmlConfComputeGpuCertificate_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetConfComputeGpuCertificate") + ret = fn(device, byref(c_cert)) + _nvmlCheckReturn(ret) + return c_cert + +def nvmlDeviceGetConfComputeGpuAttestationReport(device, c_nonce): + c_attestReport = c_nvmlConfComputeGpuAttestationReport_t() + c_nonce_arr = (c_uint8 * len(c_nonce))(*(c_nonce)) + setattr(c_attestReport, 'nonce', c_nonce_arr) + fn = _nvmlGetFunctionPointer("nvmlDeviceGetConfComputeGpuAttestationReport") + ret = fn(device, byref(c_attestReport)) + _nvmlCheckReturn(ret) + return c_attestReport + +def nvmlSystemSetConfComputeKeyRotationThresholdInfo(max_atk_adv): + c_keyRotationThrInfo = c_nvmlConfComputeSetKeyRotationThresholdInfo_t(0) + c_keyRotationThrInfo.version = ConfComputeSetKeyRotationThresholdInfo_v1 + c_keyRotationThrInfo.maxAttackerAdvantage = max_atk_adv + fn = _nvmlGetFunctionPointer("nvmlSystemSetConfComputeKeyRotationThresholdInfo") + ret = fn(byref(c_keyRotationThrInfo)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlSystemGetConfComputeKeyRotationThresholdInfo(): + c_keyRotationThrInfo = c_nvmlConfComputeGetKeyRotationThresholdInfo_t(0) + c_keyRotationThrInfo.version = ConfComputeGetKeyRotationThresholdInfo_v1 + fn = _nvmlGetFunctionPointer("nvmlSystemGetConfComputeKeyRotationThresholdInfo") + ret = fn(byref(c_keyRotationThrInfo)) + _nvmlCheckReturn(ret) + return c_keyRotationThrInfo + +## GPM ## +######### + +## Enums/defines + +#### GPM Metric Identifiers +NVML_GPM_METRIC_GRAPHICS_UTIL = 1 # Percentage of time any compute/graphics app was active on the GPU. 0.0 - 100.0 +NVML_GPM_METRIC_SM_UTIL = 2 # Percentage of SMs that were busy. 0.0 - 100.0 +NVML_GPM_METRIC_SM_OCCUPANCY = 3 # Percentage of warps that were active vs theoretical maximum. 0.0 - 100.0 +NVML_GPM_METRIC_INTEGER_UTIL = 4 # Percentage of time the GPU's SMs were doing integer operations. 0.0 - 100.0 +NVML_GPM_METRIC_ANY_TENSOR_UTIL = 5 # Percentage of time the GPU's SMs were doing ANY tensor operations. 0.0 - 100.0 +NVML_GPM_METRIC_DFMA_TENSOR_UTIL = 6 # Percentage of time the GPU's SMs were doing DFMA tensor operations. 0.0 - 100.0 +NVML_GPM_METRIC_HMMA_TENSOR_UTIL = 7 # Percentage of time the GPU's SMs were doing HMMA tensor operations. 0.0 - 100.0 +NVML_GPM_METRIC_IMMA_TENSOR_UTIL = 9 # Percentage of time the GPU's SMs were doing IMMA tensor operations. 0.0 - 100.0 +NVML_GPM_METRIC_DRAM_BW_UTIL = 10 # Percentage of DRAM bw used vs theoretical maximum. 0.0 - 100.0 +NVML_GPM_METRIC_FP64_UTIL = 11 # Percentage of time the GPU's SMs were doing non-tensor FP64 math. 0.0 - 100.0 +NVML_GPM_METRIC_FP32_UTIL = 12 # Percentage of time the GPU's SMs were doing non-tensor FP32 math. 0.0 - 100.0 +NVML_GPM_METRIC_FP16_UTIL = 13 # Percentage of time the GPU's SMs were doing non-tensor FP16 math. 0.0 - 100.0 +NVML_GPM_METRIC_PCIE_TX_PER_SEC = 20 # PCIe traffic from this GPU in MiB/sec +NVML_GPM_METRIC_PCIE_RX_PER_SEC = 21 # PCIe traffic to this GPU in MiB/sec +NVML_GPM_METRIC_NVDEC_0_UTIL = 30 # Percent utilization of NVDEC 0. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_1_UTIL = 31 # Percent utilization of NVDEC 1. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_2_UTIL = 32 # Percent utilization of NVDEC 2. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_3_UTIL = 33 # Percent utilization of NVDEC 3. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_4_UTIL = 34 # Percent utilization of NVDEC 4. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_5_UTIL = 35 # Percent utilization of NVDEC 5. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_6_UTIL = 36 # Percent utilization of NVDEC 6. 0.0 - 100.0 +NVML_GPM_METRIC_NVDEC_7_UTIL = 37 # Percent utilization of NVDEC 7. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_0_UTIL = 40 # Percent utilization of NVJPG 0. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_1_UTIL = 41 # Percent utilization of NVJPG 1. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_2_UTIL = 42 # Percent utilization of NVJPG 2. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_3_UTIL = 43 # Percent utilization of NVJPG 3. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_4_UTIL = 44 # Percent utilization of NVJPG 4. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_5_UTIL = 45 # Percent utilization of NVJPG 5. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_6_UTIL = 46 # Percent utilization of NVJPG 6. 0.0 - 100.0 +NVML_GPM_METRIC_NVJPG_7_UTIL = 47 # Percent utilization of NVJPG 7. 0.0 - 100.0 +NVML_GPM_METRIC_NVOFA_0_UTIL = 50 # Percent utilization of NVOFA 0. 0.0 - 100.0 +NVML_GPM_METRIC_NVOFA_1_UTIL = 51 # Percent utilization of NVOFA 1. 0.0 - 100.0 +NVML_GPM_METRIC_NVLINK_TOTAL_RX_PER_SEC = 60 # NvLink read bandwidth for all links in MiB/sec +NVML_GPM_METRIC_NVLINK_TOTAL_TX_PER_SEC = 61 # NvLink write bandwidth for all links in MiB/sec +NVML_GPM_METRIC_NVLINK_L0_RX_PER_SEC = 62 # NvLink read bandwidth for link 0 in MiB/sec +NVML_GPM_METRIC_NVLINK_L0_TX_PER_SEC = 63 # NvLink write bandwidth for link 0 in MiB/sec +NVML_GPM_METRIC_NVLINK_L1_RX_PER_SEC = 64 # NvLink read bandwidth for link 1 in MiB/sec +NVML_GPM_METRIC_NVLINK_L1_TX_PER_SEC = 65 # NvLink write bandwidth for link 1 in MiB/sec +NVML_GPM_METRIC_NVLINK_L2_RX_PER_SEC = 66 # NvLink read bandwidth for link 2 in MiB/sec +NVML_GPM_METRIC_NVLINK_L2_TX_PER_SEC = 67 # NvLink write bandwidth for link 2 in MiB/sec +NVML_GPM_METRIC_NVLINK_L3_RX_PER_SEC = 68 # NvLink read bandwidth for link 3 in MiB/sec +NVML_GPM_METRIC_NVLINK_L3_TX_PER_SEC = 69 # NvLink write bandwidth for link 3 in MiB/sec +NVML_GPM_METRIC_NVLINK_L4_RX_PER_SEC = 70 # NvLink read bandwidth for link 4 in MiB/sec +NVML_GPM_METRIC_NVLINK_L4_TX_PER_SEC = 71 # NvLink write bandwidth for link 4 in MiB/sec +NVML_GPM_METRIC_NVLINK_L5_RX_PER_SEC = 72 # NvLink read bandwidth for link 5 in MiB/sec +NVML_GPM_METRIC_NVLINK_L5_TX_PER_SEC = 73 # NvLink write bandwidth for link 5 in MiB/sec +NVML_GPM_METRIC_NVLINK_L6_RX_PER_SEC = 74 # NvLink read bandwidth for link 6 in MiB/sec +NVML_GPM_METRIC_NVLINK_L6_TX_PER_SEC = 75 # NvLink write bandwidth for link 6 in MiB/sec +NVML_GPM_METRIC_NVLINK_L7_RX_PER_SEC = 76 # NvLink read bandwidth for link 7 in MiB/sec +NVML_GPM_METRIC_NVLINK_L7_TX_PER_SEC = 77 # NvLink write bandwidth for link 7 in MiB/sec +NVML_GPM_METRIC_NVLINK_L8_RX_PER_SEC = 78 # NvLink read bandwidth for link 8 in MiB/sec +NVML_GPM_METRIC_NVLINK_L8_TX_PER_SEC = 79 # NvLink write bandwidth for link 8 in MiB/sec +NVML_GPM_METRIC_NVLINK_L9_RX_PER_SEC = 80 # NvLink read bandwidth for link 9 in MiB/sec +NVML_GPM_METRIC_NVLINK_L9_TX_PER_SEC = 81 # NvLink write bandwidth for link 9 in MiB/sec +NVML_GPM_METRIC_NVLINK_L10_RX_PER_SEC = 82 # NvLink read bandwidth for link 10 in MiB/sec +NVML_GPM_METRIC_NVLINK_L10_TX_PER_SEC = 83 # NvLink write bandwidth for link 10 in MiB/sec +NVML_GPM_METRIC_NVLINK_L11_RX_PER_SEC = 84 # NvLink read bandwidth for link 11 in MiB/sec +NVML_GPM_METRIC_NVLINK_L11_TX_PER_SEC = 85 # NvLink write bandwidth for link 11 in MiB/sec +NVML_GPM_METRIC_NVLINK_L12_RX_PER_SEC = 86 # NvLink read bandwidth for link 12 in MiB/sec +NVML_GPM_METRIC_NVLINK_L12_TX_PER_SEC = 87 # NvLink write bandwidth for link 12 in MiB/sec +NVML_GPM_METRIC_NVLINK_L13_RX_PER_SEC = 88 # NvLink read bandwidth for link 13 in MiB/sec +NVML_GPM_METRIC_NVLINK_L13_TX_PER_SEC = 89 # NvLink write bandwidth for link 13 in MiB/sec +NVML_GPM_METRIC_NVLINK_L14_RX_PER_SEC = 90 # NvLink read bandwidth for link 14 in MiB/sec +NVML_GPM_METRIC_NVLINK_L14_TX_PER_SEC = 91 # NvLink write bandwidth for link 14 in MiB/sec +NVML_GPM_METRIC_NVLINK_L15_RX_PER_SEC = 92 # NvLink read bandwidth for link 15 in MiB/sec +NVML_GPM_METRIC_NVLINK_L15_TX_PER_SEC = 93 # NvLink write bandwidth for link 15 in MiB/sec +NVML_GPM_METRIC_NVLINK_L16_RX_PER_SEC = 94 # NvLink read bandwidth for link 16 in MiB/sec +NVML_GPM_METRIC_NVLINK_L16_TX_PER_SEC = 95 # NvLink write bandwidth for link 16 in MiB/sec +NVML_GPM_METRIC_NVLINK_L17_RX_PER_SEC = 96 # NvLink read bandwidth for link 17 in MiB/sec +NVML_GPM_METRIC_NVLINK_L17_TX_PER_SEC = 97 # NvLink write bandwidth for link 17 in MiB/sec +NVML_GPM_METRIC_C2C_TOTAL_TX_PER_SEC = 100 +NVML_GPM_METRIC_C2C_TOTAL_RX_PER_SEC = 101 +NVML_GPM_METRIC_C2C_DATA_TX_PER_SEC = 102 +NVML_GPM_METRIC_C2C_DATA_RX_PER_SEC = 103 +NVML_GPM_METRIC_C2C_LINK0_TOTAL_TX_PER_SEC = 104 +NVML_GPM_METRIC_C2C_LINK0_TOTAL_RX_PER_SEC = 105 +NVML_GPM_METRIC_C2C_LINK0_DATA_TX_PER_SEC = 106 +NVML_GPM_METRIC_C2C_LINK0_DATA_RX_PER_SEC = 107 +NVML_GPM_METRIC_C2C_LINK1_TOTAL_TX_PER_SEC = 108 +NVML_GPM_METRIC_C2C_LINK1_TOTAL_RX_PER_SEC = 109 +NVML_GPM_METRIC_C2C_LINK1_DATA_TX_PER_SEC = 110 +NVML_GPM_METRIC_C2C_LINK1_DATA_RX_PER_SEC = 111 +NVML_GPM_METRIC_C2C_LINK2_TOTAL_TX_PER_SEC = 112 +NVML_GPM_METRIC_C2C_LINK2_TOTAL_RX_PER_SEC = 113 +NVML_GPM_METRIC_C2C_LINK2_DATA_TX_PER_SEC = 114 +NVML_GPM_METRIC_C2C_LINK2_DATA_RX_PER_SEC = 115 +NVML_GPM_METRIC_C2C_LINK3_TOTAL_TX_PER_SEC = 116 +NVML_GPM_METRIC_C2C_LINK3_TOTAL_RX_PER_SEC = 117 +NVML_GPM_METRIC_C2C_LINK3_DATA_TX_PER_SEC = 118 +NVML_GPM_METRIC_C2C_LINK3_DATA_RX_PER_SEC = 119 +NVML_GPM_METRIC_C2C_LINK4_TOTAL_TX_PER_SEC = 120 +NVML_GPM_METRIC_C2C_LINK4_TOTAL_RX_PER_SEC = 121 +NVML_GPM_METRIC_C2C_LINK4_DATA_TX_PER_SEC = 122 +NVML_GPM_METRIC_C2C_LINK4_DATA_RX_PER_SEC = 123 +NVML_GPM_METRIC_C2C_LINK5_TOTAL_TX_PER_SEC = 124 +NVML_GPM_METRIC_C2C_LINK5_TOTAL_RX_PER_SEC = 125 +NVML_GPM_METRIC_C2C_LINK5_DATA_TX_PER_SEC = 126 +NVML_GPM_METRIC_C2C_LINK5_DATA_RX_PER_SEC = 127 +NVML_GPM_METRIC_C2C_LINK6_TOTAL_TX_PER_SEC = 128 +NVML_GPM_METRIC_C2C_LINK6_TOTAL_RX_PER_SEC = 129 +NVML_GPM_METRIC_C2C_LINK6_DATA_TX_PER_SEC = 130 +NVML_GPM_METRIC_C2C_LINK6_DATA_RX_PER_SEC = 131 +NVML_GPM_METRIC_C2C_LINK7_TOTAL_TX_PER_SEC = 132 +NVML_GPM_METRIC_C2C_LINK7_TOTAL_RX_PER_SEC = 133 +NVML_GPM_METRIC_C2C_LINK7_DATA_TX_PER_SEC = 134 +NVML_GPM_METRIC_C2C_LINK7_DATA_RX_PER_SEC = 135 +NVML_GPM_METRIC_C2C_LINK8_TOTAL_TX_PER_SEC = 136 +NVML_GPM_METRIC_C2C_LINK8_TOTAL_RX_PER_SEC = 137 +NVML_GPM_METRIC_C2C_LINK8_DATA_TX_PER_SEC = 138 +NVML_GPM_METRIC_C2C_LINK8_DATA_RX_PER_SEC = 139 +NVML_GPM_METRIC_C2C_LINK9_TOTAL_TX_PER_SEC = 140 +NVML_GPM_METRIC_C2C_LINK9_TOTAL_RX_PER_SEC = 141 +NVML_GPM_METRIC_C2C_LINK9_DATA_TX_PER_SEC = 142 +NVML_GPM_METRIC_C2C_LINK9_DATA_RX_PER_SEC = 143 +NVML_GPM_METRIC_C2C_LINK10_TOTAL_TX_PER_SEC = 144 +NVML_GPM_METRIC_C2C_LINK10_TOTAL_RX_PER_SEC = 145 +NVML_GPM_METRIC_C2C_LINK10_DATA_TX_PER_SEC = 146 +NVML_GPM_METRIC_C2C_LINK10_DATA_RX_PER_SEC = 147 +NVML_GPM_METRIC_C2C_LINK11_TOTAL_TX_PER_SEC = 148 +NVML_GPM_METRIC_C2C_LINK11_TOTAL_RX_PER_SEC = 149 +NVML_GPM_METRIC_C2C_LINK11_DATA_TX_PER_SEC = 150 +NVML_GPM_METRIC_C2C_LINK11_DATA_RX_PER_SEC = 151 +NVML_GPM_METRIC_C2C_LINK12_TOTAL_TX_PER_SEC = 152 +NVML_GPM_METRIC_C2C_LINK12_TOTAL_RX_PER_SEC = 153 +NVML_GPM_METRIC_C2C_LINK12_DATA_TX_PER_SEC = 154 +NVML_GPM_METRIC_C2C_LINK12_DATA_RX_PER_SEC = 155 +NVML_GPM_METRIC_C2C_LINK13_TOTAL_TX_PER_SEC = 156 +NVML_GPM_METRIC_C2C_LINK13_TOTAL_RX_PER_SEC = 157 +NVML_GPM_METRIC_C2C_LINK13_DATA_TX_PER_SEC = 158 +NVML_GPM_METRIC_C2C_LINK13_DATA_RX_PER_SEC = 159 +NVML_GPM_METRIC_HOSTMEM_CACHE_HIT = 160 +NVML_GPM_METRIC_HOSTMEM_CACHE_MISS = 161 +NVML_GPM_METRIC_PEERMEM_CACHE_HIT = 162 +NVML_GPM_METRIC_PEERMEM_CACHE_MISS = 163 +NVML_GPM_METRIC_DRAM_CACHE_HIT = 164 +NVML_GPM_METRIC_DRAM_CACHE_MISS = 165 +NVML_GPM_METRIC_NVENC_0_UTIL = 166, +NVML_GPM_METRIC_NVENC_1_UTIL = 167, +NVML_GPM_METRIC_NVENC_2_UTIL = 168, +NVML_GPM_METRIC_NVENC_3_UTIL = 169, +NVML_GPM_METRIC_GR0_CTXSW_CYCLES_ELAPSED = 170, +NVML_GPM_METRIC_GR0_CTXSW_CYCLES_ACTIVE = 171, +NVML_GPM_METRIC_GR0_CTXSW_REQUESTS = 172, +NVML_GPM_METRIC_GR0_CTXSW_CYCLES_PER_REQ = 173, +NVML_GPM_METRIC_GR0_CTXSW_ACTIVE_PCT = 174, +NVML_GPM_METRIC_GR1_CTXSW_CYCLES_ELAPSED = 175, +NVML_GPM_METRIC_GR1_CTXSW_CYCLES_ACTIVE = 176, +NVML_GPM_METRIC_GR1_CTXSW_REQUESTS = 177, +NVML_GPM_METRIC_GR1_CTXSW_CYCLES_PER_REQ = 178, +NVML_GPM_METRIC_GR1_CTXSW_ACTIVE_PCT = 179, +NVML_GPM_METRIC_GR2_CTXSW_CYCLES_ELAPSED = 180, +NVML_GPM_METRIC_GR2_CTXSW_CYCLES_ACTIVE = 181, +NVML_GPM_METRIC_GR2_CTXSW_REQUESTS = 182, +NVML_GPM_METRIC_GR2_CTXSW_CYCLES_PER_REQ = 183, +NVML_GPM_METRIC_GR2_CTXSW_ACTIVE_PCT = 184, +NVML_GPM_METRIC_GR3_CTXSW_CYCLES_ELAPSED = 185, +NVML_GPM_METRIC_GR3_CTXSW_CYCLES_ACTIVE = 186, +NVML_GPM_METRIC_GR3_CTXSW_REQUESTS = 187, +NVML_GPM_METRIC_GR3_CTXSW_CYCLES_PER_REQ = 188, +NVML_GPM_METRIC_GR3_CTXSW_ACTIVE_PCT = 189, +NVML_GPM_METRIC_GR4_CTXSW_CYCLES_ELAPSED = 190, +NVML_GPM_METRIC_GR4_CTXSW_CYCLES_ACTIVE = 191, +NVML_GPM_METRIC_GR4_CTXSW_REQUESTS = 192, +NVML_GPM_METRIC_GR4_CTXSW_CYCLES_PER_REQ = 193, +NVML_GPM_METRIC_GR4_CTXSW_ACTIVE_PCT = 194, +NVML_GPM_METRIC_GR5_CTXSW_CYCLES_ELAPSED = 195, +NVML_GPM_METRIC_GR5_CTXSW_CYCLES_ACTIVE = 196, +NVML_GPM_METRIC_GR5_CTXSW_REQUESTS = 197, +NVML_GPM_METRIC_GR5_CTXSW_CYCLES_PER_REQ = 198, +NVML_GPM_METRIC_GR5_CTXSW_ACTIVE_PCT = 199, +NVML_GPM_METRIC_GR6_CTXSW_CYCLES_ELAPSED = 200, +NVML_GPM_METRIC_GR6_CTXSW_CYCLES_ACTIVE = 201, +NVML_GPM_METRIC_GR6_CTXSW_REQUESTS = 202, +NVML_GPM_METRIC_GR6_CTXSW_CYCLES_PER_REQ = 203, +NVML_GPM_METRIC_GR6_CTXSW_ACTIVE_PCT = 204, +NVML_GPM_METRIC_GR7_CTXSW_CYCLES_ELAPSED = 205, +NVML_GPM_METRIC_GR7_CTXSW_CYCLES_ACTIVE = 206, +NVML_GPM_METRIC_GR7_CTXSW_REQUESTS = 207, +NVML_GPM_METRIC_GR7_CTXSW_CYCLES_PER_REQ = 208, +NVML_GPM_METRIC_GR7_CTXSW_ACTIVE_PCT = 209, +NVML_GPM_METRIC_MAX = 210 + +## Structs + +class c_nvmlUnitInfo_t(_PrintableStructure): + _fields_ = [ + ('name', c_char * 96), + ('id', c_char * 96), + ('serial', c_char * 96), + ('firmwareVersion', c_char * 96), + ] + +class struct_c_nvmlGpmSample_t(Structure): + pass # opaque handle +c_nvmlGpmSample_t = POINTER(struct_c_nvmlGpmSample_t) + +class c_metricInfo_t(Structure): + _fields_ = [ + ("shortName", c_char_p), + ("longName", c_char_p), + ("unit", c_char_p), + ] + +class c_nvmlGpmMetric_t(_PrintableStructure): + _fields_ = [ + ('metricId', c_uint), + ('nvmlReturn', _nvmlReturn_t), + ('value', c_double), + ('metricInfo', c_metricInfo_t) + ] + +class c_nvmlGpmMetricsGet_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('numMetrics', c_uint), + ('sample1', c_nvmlGpmSample_t), + ('sample2', c_nvmlGpmSample_t), + ('metrics', c_nvmlGpmMetric_t * NVML_GPM_METRIC_MAX) + ] + +NVML_GPM_METRICS_GET_VERSION = 1 + +class c_nvmlGpmSupport_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('isSupportedDevice', c_uint), + ] + +NVML_GPM_SUPPORT_VERSION = 1 + +## Functions + +def nvmlGpmMetricsGet(metricsGet): + fn = _nvmlGetFunctionPointer("nvmlGpmMetricsGet") + ret = fn(byref(metricsGet)) + _nvmlCheckReturn(ret) + return metricsGet + +def nvmlGpmSampleFree(gpmSample): + fn = _nvmlGetFunctionPointer("nvmlGpmSampleFree") + ret = fn(gpmSample) + _nvmlCheckReturn(ret) + return + +def nvmlGpmSampleAlloc(): + gpmSample = c_nvmlGpmSample_t() + fn = _nvmlGetFunctionPointer("nvmlGpmSampleAlloc") + ret = fn(byref(gpmSample)) + _nvmlCheckReturn(ret) + return gpmSample + +def nvmlGpmSampleGet(device, gpmSample): + fn = _nvmlGetFunctionPointer("nvmlGpmSampleGet") + ret = fn(device, gpmSample) + _nvmlCheckReturn(ret) + return gpmSample + +def nvmlGpmMigSampleGet(device, gpuInstanceId, gpmSample): + fn = _nvmlGetFunctionPointer("nvmlGpmMigSampleGet") + ret = fn(device, gpuInstanceId, gpmSample) + _nvmlCheckReturn(ret) + return gpmSample + +def nvmlGpmQueryDeviceSupport(device): + gpmSupport = c_nvmlGpmSupport_t() + gpmSupport.version = NVML_GPM_SUPPORT_VERSION + fn = _nvmlGetFunctionPointer("nvmlGpmQueryDeviceSupport") + ret = fn(device, byref(gpmSupport)) + _nvmlCheckReturn(ret) + return gpmSupport + +def nvmlGpmSetStreamingEnabled(device, state): + c_state = c_uint(state) + fn = _nvmlGetFunctionPointer("nvmlGpmSetStreamingEnabled") + ret = fn(device, c_state) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlGpmQueryIfStreamingEnabled(device): + c_state = c_uint() + fn = _nvmlGetFunctionPointer("nvmlGpmQueryIfStreamingEnabled") + ret = fn(device, byref(c_state)) + _nvmlCheckReturn(ret) + return c_state.value + +# Low Power Structure and Function + +NVML_NVLINK_POWER_STATE_HIGH_SPEED = 0x0 +NVML_NVLINK_POWER_STATE_LOW = 0x1 + +NVML_NVLINK_LOW_POWER_THRESHOLD_MIN = 0x1 +NVML_NVLINK_LOW_POWER_THRESHOLD_MAX = 0x1FFF +NVML_NVLINK_LOW_POWER_THRESHOLD_RESET = 0xFFFFFFFF +NVML_NVLINK_LOW_POWER_THRESHOLD_DEFAULT = NVML_NVLINK_LOW_POWER_THRESHOLD_RESET + +class c_nvmlNvLinkPowerThres_t(Structure): + _fields_ = [ + ("lowPwrThreshold", c_uint), + ] + +def nvmlDeviceSetNvLinkDeviceLowPowerThreshold(device, l1threshold): + c_info = c_nvmlNvLinkPowerThres_t() + c_info.lowPwrThreshold = l1threshold + fn = _nvmlGetFunctionPointer("nvmlDeviceSetNvLinkDeviceLowPowerThreshold") + ret = fn(device, byref(c_info)) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +NVML_GPU_FABRIC_UUID_LEN = 16 + +_nvmlGpuFabricState_t = c_uint +NVML_GPU_FABRIC_STATE_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_STATE_NOT_STARTED = 1 +NVML_GPU_FABRIC_STATE_IN_PROGRESS = 2 +NVML_GPU_FABRIC_STATE_COMPLETED = 3 + +class c_nvmlGpuFabricInfo_t(_PrintableStructure): + _fields_ = [ + ("clusterUuid", c_uint8 * NVML_DEVICE_UUID_BUFFER_SIZE), + ("status", _nvmlReturn_t), + ("cliqueId", c_uint32), + ("state", _nvmlGpuFabricState_t) + ] + +NVML_GPU_FABRIC_HEALTH_MASK_DEGRADED_BW_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_MASK_DEGRADED_BW_TRUE = 1 +NVML_GPU_FABRIC_HEALTH_MASK_DEGRADED_BW_FALSE = 2 +NVML_GPU_FABRIC_HEALTH_MASK_SHIFT_DEGRADED_BW = 0 +NVML_GPU_FABRIC_HEALTH_MASK_WIDTH_DEGRADED_BW = 0x11 + +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_RECOVERY_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_RECOVERY_TRUE = 1 +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_RECOVERY_FALSE = 2 +NVML_GPU_FABRIC_HEALTH_MASK_SHIFT_ROUTE_RECOVERY = 2 +NVML_GPU_FABRIC_HEALTH_MASK_WIDTH_ROUTE_RECOVERY = 0x11 + +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_UNHEALTHY_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_UNHEALTHY_TRUE = 1 +NVML_GPU_FABRIC_HEALTH_MASK_ROUTE_UNHEALTHY_FALSE = 2 +NVML_GPU_FABRIC_HEALTH_MASK_SHIFT_ROUTE_UNHEALTHY = 4 +NVML_GPU_FABRIC_HEALTH_MASK_WIDTH_ROUTE_UNHEALTHY = 0x11 + +NVML_GPU_FABRIC_HEALTH_MASK_ACCESS_TIMEOUT_RECOVERY_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_MASK_ACCESS_TIMEOUT_RECOVERY_TRUE = 1 +NVML_GPU_FABRIC_HEALTH_MASK_ACCESS_TIMEOUT_RECOVERY_FALSE = 2 +NVML_GPU_FABRIC_HEALTH_MASK_SHIFT_ACCESS_TIMEOUT_RECOVERY = 6 +NVML_GPU_FABRIC_HEALTH_MASK_WIDTH_ACCESS_TIMEOUT_RECOVERY = 0x11 + +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_NONE = 1 +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_INCORRECT_SYSGUID = 2 +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_INCORRECT_CHASSIS_SN = 3 +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_NO_PARTITION = 4 +NVML_GPU_FABRIC_HEALTH_MASK_INCORRECT_CONFIGURATION_INSUFFICIENT_NVLINKS = 5 +NVML_GPU_FABRIC_HEALTH_MASK_SHIFT_INCORRECT_CONFIGURATION = 8 +NVML_GPU_FABRIC_HEALTH_MASK_WIDTH_INCORRECT_CONFIGURATION = 0xf + +NVML_GPU_FABRIC_HEALTH_SUMMARY_NOT_SUPPORTED = 0 +NVML_GPU_FABRIC_HEALTH_SUMMARY_HEALTHY = 1 +NVML_GPU_FABRIC_HEALTH_SUMMARY_UNHEALTHY = 2 +NVML_GPU_FABRIC_HEALTH_SUMMARY_LIMITED_CAPACITY = 3 + +nvmlGpuFabricInfo_v2 = 0x02000024 + +class c_nvmlGpuFabricInfo_v2_t(_PrintableStructure): + _fields_ = [ + ("version", c_uint), + ("clusterUuid", c_uint8 * NVML_GPU_FABRIC_UUID_LEN), + ("status", _nvmlReturn_t), + ("cliqueId", c_uint32), + ("state", _nvmlGpuFabricState_t), + ("healthMask", c_uint32) + ] + + def __init__(self): + super(c_nvmlGpuFabricInfo_v2_t, self).__init__(version=nvmlGpuFabricInfo_v2) + +c_nvmlGpuFabricInfoV_t = c_nvmlGpuFabricInfo_v2_t + +class c_nvmlGpuFabricInfo_v3_t(_PrintableStructure): + _fields_ = [ + ("version", c_uint), + ("clusterUuid", c_uint8 * NVML_GPU_FABRIC_UUID_LEN), + ("status", _nvmlReturn_t), + ("cliqueId", c_uint32), + ("state", _nvmlGpuFabricState_t), + ("healthMask", c_uint32), + ("healthSummary", c_uint8) + ] + + def __init__(self): + super(c_nvmlGpuFabricInfo_v3_t, self).__init__(version=nvmlGpuFabricInfo_v3) + +nvmlGpuFabricInfo_v3 = 0x3000028 + +# Deprecated +def nvmlDeviceGetGpuFabricInfo(device, gpuFabricInfo): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuFabricInfo"); + ret = fn(device, gpuFabricInfo) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetGpuFabricInfoV(device, gpuFabricInfo): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetGpuFabricInfoV"); + ret = fn(device, gpuFabricInfo) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +###################### +## Enums/defines +#### NVML GPU NVLINK BW MODE +NVML_GPU_NVLINK_BW_MODE_FULL = 0x0 +NVML_GPU_NVLINK_BW_MODE_OFF = 0x1 +NVML_GPU_NVLINK_BW_MODE_MIN = 0x2 +NVML_GPU_NVLINK_BW_MODE_HALF = 0x3 +NVML_GPU_NVLINK_BW_MODE_3QUARTER = 0x4 +NVML_GPU_NVLINK_BW_MODE_COUNT = 0x5 + +def nvmlSystemSetNvlinkBwMode(mode): + fn = _nvmlGetFunctionPointer("nvmlSystemSetNvlinkBwMode") + ret = fn(mode) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlSystemGetNvlinkBwMode(): + mode = c_uint() + fn = _nvmlGetFunctionPointer("nvmlSystemGetNvlinkBwMode") + ret = fn(byref(mode)) + _nvmlCheckReturn(ret) + return mode.value + +_nvmlPowerScopeType_t = c_uint +NVML_POWER_SCOPE_GPU = 0 +NVML_POWER_SCOPE_MODULE = 1 +NVML_POWER_SCOPE_MEMORY = 2 + +class c_nvmlPowerValue_v2_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('powerScope', _nvmlPowerScopeType_t), + ('powerValueMw', c_uint), + ] + _fmt_ = {'': "%d B"} + +nvmlPowerValue_v2 = 0x0200000C + +def nvmlDeviceSetPowerManagementLimit_v2(device, powerScope, powerLimit, version=nvmlPowerValue_v2): + c_powerScope = _nvmlPowerScopeType_t(powerScope) + c_powerValue = c_nvmlPowerValue_v2_t() + c_powerValue.version = c_uint(version) + c_powerValue.powerScope = c_powerScope + c_powerValue.powerValueMw = c_uint(powerLimit) + fn = _nvmlGetFunctionPointer("nvmlDeviceSetPowerManagementLimit_v2") + ret = fn(device, byref(c_powerValue)) + return NVML_SUCCESS + +class c_nvmlEccSramErrorStatus_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('aggregateUncParity', c_ulonglong), + ('aggregateUncSecDed', c_ulonglong), + ('aggregateCor', c_ulonglong), + ('volatileUncParity', c_ulonglong), + ('volatileUncSecDed', c_ulonglong), + ('volatileCor', c_ulonglong), + ('aggregateUncBucketL2', c_ulonglong), + ('aggregateUncBucketSm', c_ulonglong), + ('aggregateUncBucketPcie', c_ulonglong), + ('aggregateUncBucketMcu', c_ulonglong), + ('aggregateUncBucketOther', c_ulonglong), + ('bThresholdExceeded', c_uint) + ] + + def __init__(self): + super(c_nvmlEccSramErrorStatus_v1_t, self).__init__(version=nvmlEccSramErrorStatus_v1) + +nvmlEccSramErrorStatus_v1 = 0x1000068 +def nvmlDeviceGetSramEccErrorStatus(device, status): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetSramEccErrorStatus") + ret = fn(device, status) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +NVML_DEV_CAP_EGM = (1 << 0) +nvmlDeviceCapabilities_v1 = 0x1000008 + +class c_nvmlDeviceCapabilities_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('capMask', c_uint), + ] + + def __init__(self): + super(c_nvmlDeviceCapabilities_v1_t, self).__init__(version=nvmlDeviceCapabilities_v1) + + +def nvmlDeviceGetCapabilities(device, caps): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetCapabilities") + return fn(device, caps) + +class c_nvmlPlatformInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('ibGuid', c_char * 16), + ('rackGuid', c_char * 16), + ('chassisPhysicalSlotNumber', c_char), + ('computeSlotIndex', c_char), + ('nodeIndex', c_char), + ('peerType', c_char), + ('moduleId', c_char) + ] + + def __init__(self): + super(c_nvmlPlatformInfo_v1_t, self).__init__(version=nvmlPlatformInfo_v1) + +class c_nvmlPlatformInfo_v2_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('ibGuid', c_char * 16), + ('chassisSerialNumber', c_char * 16), + ('slotNumber', c_char), + ('trayIndex', c_char), + ('hostId', c_char), + ('peerType', c_char), + ('moduleId', c_char) + ] + + def __init__(self): + super(c_nvmlPlatformInfo_v2_t, self).__init__(version=nvmlPlatformInfo_v2) + +nvmlPlatformInfo_v1 = 0x100002c +nvmlPlatformInfo_v2 = 0x200002c + +def nvmlDeviceGetPlatformInfo(device, platformInfo): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPlatformInfo") + ret = fn(device, platformInfo) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +class c_nvmlMask255_t(_PrintableStructure): + _fields_ = [ + ('mask', c_uint * 8), + ] + +NVML_WORKLOAD_POWER_MAX_PROFILES = 255 +NVML_POWER_PROFILE_MAX_P = 0 +NVML_POWER_PROFILE_MAX_Q = 1 +NVML_POWER_PROFILE_COMPUTE = 2 +NVML_POWER_PROFILE_MEMORY_BOUND = 3 +NVML_POWER_PROFILE_NETWORK = 4 +NVML_POWER_PROFILE_BALANCED = 5 +NVML_POWER_PROFILE_LLM_INFERENCE = 6 +NVML_POWER_PROFILE_LLM_TRAINING = 7 +NVML_POWER_PROFILE_RBM = 8 +NVML_POWER_PROFILE_DCPCIE = 9 +NVML_POWER_PROFILE_HMMA_SPARSE = 10 +NVML_POWER_PROFILE_HMMA_DENSE = 11 +NVML_POWER_PROFILE_SYNC_BALANCED = 12 +NVML_POWER_PROFILE_HPC = 13 +NVML_POWER_PROFILE_MIG = 14 +NVML_POWER_PROFILE_MAX = 15 + +nvmlWorkloadPowerProfileInfo_v1 = 0x100002c +class c_nvmlWorkloadPowerProfileInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('profileId', c_uint), + ('priority', c_uint), + ('conflictingmask', c_nvmlMask255_t) + ] + + def __init__(self): + super(c_nvmlWorkloadPowerProfileInfo_v1_t, self).__init__(version=nvmlWorkloadPowerProfileInfo_v1) + +nvmlWorkloadPowerProfileProfilesInfo_v1 = 0x1002bf8 +class c_nvmlWorkloadPowerProfileProfilesInfo_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('perfProfilesMask', c_nvmlMask255_t), + ('perfProfile', c_nvmlWorkloadPowerProfileInfo_v1_t * NVML_WORKLOAD_POWER_MAX_PROFILES) + ] + + def __init__(self): + super(c_nvmlWorkloadPowerProfileProfilesInfo_v1_t, self).__init__(version=nvmlWorkloadPowerProfileProfilesInfo_v1) + +nvmlWorkloadPowerProfileCurrentProfiles_v1 = 0x1000064 +class c_nvmlWorkloadPowerProfileCurrentProfiles_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('perfProfilesMask', c_nvmlMask255_t), + ('requestedProfilesMask', c_nvmlMask255_t), + ('enforcedProfilesMask', c_nvmlMask255_t) + ] + + def __init__(self): + super(c_nvmlWorkloadPowerProfileCurrentProfiles_v1_t, self).__init__(version=nvmlWorkloadPowerProfileCurrentProfiles_v1) + +nvmlWorkloadPowerProfileRequestedProfiles_v1 = 0x1000024 +class c_nvmlWorkloadPowerProfileRequestedProfiles_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('requestedProfilesMask', c_nvmlMask255_t), + ] + + def __init__(self): + super(c_nvmlWorkloadPowerProfileRequestedProfiles_v1_t, self).__init__(version=nvmlWorkloadPowerProfileRequestedProfiles_v1) + +def nvmlDeviceWorkloadPowerProfileGetProfilesInfo(device, profilesInfo): + fn = _nvmlGetFunctionPointer("nvmlDeviceWorkloadPowerProfileGetProfilesInfo") + ret = fn(device, profilesInfo) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceWorkloadPowerProfileGetCurrentProfiles(device, currentProfiles): + fn = _nvmlGetFunctionPointer("nvmlDeviceWorkloadPowerProfileGetCurrentProfiles") + ret = fn(device, currentProfiles) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceWorkloadPowerProfileSetRequestedProfiles(device, requestedProfiles): + fn = _nvmlGetFunctionPointer("nvmlDeviceWorkloadPowerProfileSetRequestedProfiles") + ret = fn(device, requestedProfiles) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceWorkloadPowerProfileClearRequestedProfiles(device, requestedProfiles): + fn = _nvmlGetFunctionPointer("nvmlDeviceWorkloadPowerProfileClearRequestedProfiles") + ret = fn(device, requestedProfiles) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetNvlinkSupportedBwModes(device, supportedBwModes): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNvlinkSupportedBwModes") + ret = fn(device, supportedBwModes) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetNvlinkBwMode(device, getBwMode): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNvlinkBwMode") + ret = fn(device, getBwMode) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceSetNvlinkBwMode(device, setBwMode): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetNvlinkBwMode") + ret = fn(device, setBwMode) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +nvmlDramEncryptionInfo_v1 = 0x01000008 + +class c_nvmlDramEncryptionInfo_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('encryptionState', _nvmlEnableState_t), + ] + + def __init__(self): + super(c_nvmlDramEncryptionInfo_t, self).__init__(version=nvmlDramEncryptionInfo_v1) + +def nvmlDeviceGetDramEncryptionMode(handle): + c_currState = c_nvmlDramEncryptionInfo_t() + c_pendingState = c_nvmlDramEncryptionInfo_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetDramEncryptionMode") + ret = fn(handle, byref(c_currState), byref(c_pendingState)) + _nvmlCheckReturn(ret) + return [c_currState.encryptionState, c_pendingState.encryptionState] + +# added to API +def nvmlDeviceGetCurrentDramEncryptionMode(handle): + return nvmlDeviceGetDramEncryptionMode(handle)[0] + +# added to API +def nvmlDeviceGetPendingDramEncryptionMode(handle): + return nvmlDeviceGetDramEncryptionMode(handle)[1] + +def nvmlDeviceSetDramEncryptionMode(handle, mode): + fn = _nvmlGetFunctionPointer("nvmlDeviceSetDramEncryptionMode") + c_dramEncryptionMode = c_nvmlDramEncryptionInfo_t() + c_dramEncryptionMode.encryptionState = mode; + ret = fn(handle, byref(c_dramEncryptionMode)) + _nvmlCheckReturn(ret) + return None + +# Power Smoothing defines +NVML_POWER_SMOOTHING_MAX_NUM_PROFILES = 5 +NVML_POWER_SMOOTHING_ADMIN_OVERRIDE_NOT_SET = 0xFFFFFFFF +NVML_POWER_SMOOTHING_PROFILE_PARAM_PERCENT_TMP_FLOOR = 0 +NVML_POWER_SMOOTHING_PROFILE_PARAM_RAMP_UP_RATE = 1 +NVML_POWER_SMOOTHING_PROFILE_PARAM_RAMP_DOWN_RATE = 2 +NVML_POWER_SMOOTHING_PROFILE_PARAM_RAMP_DOWN_HYSTERESIS = 3 + +nvmlPowerSmoothingState_v1=0x1000008 +class c_nvmlPowerSmoothingState_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('state', c_uint), + ] + + def __init__(self): + super(c_nvmlPowerSmoothingState_v1_t, self).__init__(version=nvmlPowerSmoothingState_v1) + +nvmlPowerSmoothingProfile_v1=0x1000018 +class c_nvmlPowerSmoothingProfile_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('profileId', c_uint), + ('paramId', c_uint), + ('value', c_double), + ] + + def __init__(self): + super(c_nvmlPowerSmoothingProfile_v1_t, self).__init__(version=nvmlPowerSmoothingProfile_v1) + +def nvmlDevicePowerSmoothingActivatePresetProfile(device, profile): + fn = _nvmlGetFunctionPointer("nvmlDevicePowerSmoothingActivatePresetProfile") + ret = fn(device, profile) + _nvmlCheckReturn(ret) + +def nvmlDevicePowerSmoothingUpdatePresetProfileParam(device, profile): + fn = _nvmlGetFunctionPointer("nvmlDevicePowerSmoothingUpdatePresetProfileParam") + ret = fn(device, profile) + _nvmlCheckReturn(ret) + +def nvmlDevicePowerSmoothingSetState(device, state): + fn = _nvmlGetFunctionPointer("nvmlDevicePowerSmoothingSetState") + ret = fn(device, state) + _nvmlCheckReturn(ret) + +class c_nvmlEccSramUniqueUncorrectedErrorEntry_v1_t(_PrintableStructure): + _fields_ = [ + ('unit', c_uint), + ('location', c_uint), + ('sublocation', c_uint), + ('extlocation', c_uint), + ('address', c_uint), + ('isParity', c_uint), + ('count', c_uint) + ] + +class c_nvmlEccSramUniqueUncorrectedErrorCounts_v1_t(_PrintableStructure): + _fields_ = [ + ('version', c_uint), + ('entryCount', c_uint), + ('entries', POINTER(c_nvmlEccSramUniqueUncorrectedErrorEntry_v1_t)) + ] + + def __init__(self): + super(c_nvmlEccSramUniqueUncorrectedErrorCounts_v1_t, self).__init__(version=nvmlEccSramUniqueUncorrectedErrorCounts_v1) + +nvmlEccSramUniqueUncorrectedErrorCounts_v1 = 0x1000010 +def nvmlDeviceGetSramUniqueUncorrectedEccErrorCounts(device, counts): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetSramUniqueUncorrectedEccErrorCounts") + ret = fn(device, counts) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetPdi(device): + c_pdi = c_nvmlPdi_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetPdi") + ret = fn(device, byref(c_pdi)) + _nvmlCheckReturn(ret) + return c_pdi.value + +def nvmlDeviceGetNvLinkInfo(device, info): + fn = _nvmlGetFunctionPointer("nvmlDeviceGetNvLinkInfo"); + ret = fn(device, info) + _nvmlCheckReturn(ret) + return NVML_SUCCESS + +def nvmlDeviceGetRepairStatus(device): + c_status = c_nvmlRepairStatus_t() + fn = _nvmlGetFunctionPointer("nvmlDeviceGetRepairStatus") + ret = fn(device, byref(c_status)) + _nvmlCheckReturn(ret) + return [c_status.bChannelRepairPending, c_status.bTpcRepairPending] diff --git a/python/ray/dashboard/modules/reporter/gpu_providers.py b/python/ray/dashboard/modules/reporter/gpu_providers.py index d26ea4597fa6..4300cf48a3e3 100644 --- a/python/ray/dashboard/modules/reporter/gpu_providers.py +++ b/python/ray/dashboard/modules/reporter/gpu_providers.py @@ -8,11 +8,9 @@ import enum import logging import subprocess -from collections import defaultdict +import time from typing import Dict, List, Optional, TypedDict, Union -from ray._private.ray_constants import RAY_METRIC_ENABLE_GPU_NVSMI - logger = logging.getLogger(__name__) # Constants @@ -109,7 +107,8 @@ class NvidiaGpuProvider(GpuProvider): def __init__(self): super().__init__() self._pynvml = None - self._using_nvidia_smi = RAY_METRIC_ENABLE_GPU_NVSMI + # Maintain per-GPU sampling timestamps when using process utilization API + self._gpu_process_last_sample_ts: Dict[int, int] = {} def get_provider_name(self) -> GpuProviderType: return GpuProviderType.NVIDIA @@ -155,128 +154,7 @@ def _shutdown(self): def get_gpu_utilization(self) -> List[GpuUtilizationInfo]: """Get GPU utilization information for all NVIDIA GPUs and MIG devices.""" - return ( - self._get_nvsmi_gpu_usage() - if self._using_nvidia_smi - else self._get_pynvml_gpu_usage() - ) - - def _get_nvsmi_gpu_usage(self) -> List[GpuUtilizationInfo]: - try: - gpu_info = subprocess.run( - [ - "nvidia-smi", - "--query-gpu=index,name,uuid,utilization.gpu,memory.used,memory.total", - "--format=csv,noheader,nounits", - ], - check=True, - capture_output=True, - text=True, - ) - """Sample output: - 0, GPU-0, GPU-36e1567d-37ed-051e-f8ff-df807517b396, 0, 73348, 81559 - 1, GPU-1, GPU-4a2c89ef-1b3d-492c-a8d5-e9c614f82d73, 0, 73444, 81559 - 2, GPU-2, GPU-7f15d234-9c6a-4e8b-b3f2-c982a5d91b48, 0, 73444, 81559 - 3, GPU-3, GPU-2b8d6f91-5e4c-47a3-96d7-8b31c4f9ae52, 0, 73332, 81559 - 4, GPU-4, GPU-9d3a7c82-6b5f-4d1e-ae94-3f5c8d2e9b14, 0, 73344, 81559 - 5, GPU-5, GPU-c4e6b853-2a9d-48f6-b1c7-d4f982e6a795, 0, 73440, 81559 - 6, GPU-6, GPU-1f9b4c75-8e3a-4d2b-95c8-6a7d3b8f4e21, 0, 73440, 81559 - 7, GPU-7, GPU-5d2e9f36-4c7b-483a-b9e1-2f8ac4d5b963, 0, 73328, 81559 - """ - gpus = [] - for line in sorted(gpu_info.stdout.strip().split("\n")): # Sort by index - index, name, uuid, util, mem_used, mem_total = line.split(", ") - gpus.append( - GpuUtilizationInfo( - index=int(index), - name=name, - uuid=uuid, - utilization_gpu=int(util), - memory_used=int(mem_used), - memory_total=int(mem_total), - processes_pids={}, - ) - ) - - processes_info = subprocess.run( - ["nvidia-smi", "pmon", "-c", "1"], - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - check=True, - text=True, - ) - processes_info = self._parse_nvsmi_pmon_output(processes_info.stdout, gpus) - for gpu in gpus: - gpu_id = gpu["index"] - if gpu_id in processes_info: - gpu["processes_pids"] = processes_info[gpu_id] - return gpus - except (subprocess.CalledProcessError, ValueError) as e: - logger.warning(f"nvidia-smi failed to call: {e}. Falling back to pynvml.") - self._using_nvidia_smi = False - return self._get_pynvml_gpu_usage() - - @staticmethod - def _parse_nvsmi_pmon_output( - nvsmi_stdout: str, - gpus: List[GpuUtilizationInfo], - ) -> Dict[int, List[ProcessGPUInfo]]: - """Parse the output of nvidia-smi pmon -c 1. - - Sample output of 'nvidia-smi pmon -c 1': - # gpu pid type sm mem enc dec jpg ofa command - # Idx # C/G % % % % % % name - 0 7175 C 84 26 - - - - ray::TorchGPUWo - 1 7175 C 86 26 - - - - ray::TorchGPUWo - 2 - - - - - - - - - - - Returns a dict mapping GPU index to dict of pid to ProcessGPUInfo. - """ - process_utilizations = defaultdict(dict) - lines = nvsmi_stdout.splitlines() - # Get the first line that is started with # - table_header = None - for line in lines: - if line.startswith("#"): - table_header = line - break - if not table_header: - raise ValueError( - "nvidia-smi pmon output is not supported. Please upgrade to a newer version of nvidia-smi." - ) - table_header = table_header.lower().split()[1:] - # Base on different versions, the header may be different. - # ValueError will be raised if the header is not found by the index function. - gpu_id_index = table_header.index("gpu") - pid_index = table_header.index("pid") - sm_index = table_header.index("sm") - mem_index = table_header.index("mem") - - for line in lines: - if line.startswith("#") or not line.strip(): - continue - - columns = line.split() - if len(columns) < max(gpu_id_index, pid_index, sm_index, mem_index) + 1: - continue - - gpu_id, pid, sm, mem = ( - int(columns[gpu_id_index]), - 0 if columns[pid_index] == "-" else int(columns[pid_index]), - 0 if columns[sm_index] == "-" else int(columns[sm_index]), - 0 if columns[mem_index] == "-" else int(columns[mem_index]), - ) - if pid == 0: # no process on this GPU - continue - process_info = ProcessGPUInfo( - pid=pid, - gpu_memory_usage=int( - gpus[gpu_id]["memory_total"] * mem / 100 - ), # Convert percentage to MB - gpu_utilization=sm, - ) - process_utilizations[gpu_id][pid] = process_info - return process_utilizations + return self._get_pynvml_gpu_usage() def _get_pynvml_gpu_usage(self) -> List[GpuUtilizationInfo]: if not self._initialized: @@ -379,7 +257,8 @@ def _get_mig_device_info( if nv_process.usedGpuMemory else 0 ), - gpu_utilization=None, # Not available in pynvml + # NOTE: According to nvml, this is not currently available in MIG mode + gpu_utilization=None, ) except self._pynvml.NVMLError as e: logger.debug(f"Failed to retrieve MIG device processes: {e}") @@ -434,25 +313,51 @@ def _get_gpu_info(self, gpu_handle, gpu_index: int) -> Optional[GpuUtilizationIn # Get running processes processes_pids = {} try: - nv_comp_processes = self._pynvml.nvmlDeviceGetComputeRunningProcesses( - gpu_handle - ) - nv_graphics_processes = ( - self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(gpu_handle) + # Try to use the newer API first (available in driver version 550+) + current_ts_ms = int(time.time() * 1000) + last_ts_ms = self._gpu_process_last_sample_ts.get(gpu_index, 0) + nv_processes = self._pynvml.nvmlDeviceGetProcessesUtilizationInfo( + gpu_handle, last_ts_ms ) - for nv_process in nv_comp_processes + nv_graphics_processes: + self._gpu_process_last_sample_ts[gpu_index] = current_ts_ms + + for nv_process in nv_processes: processes_pids[int(nv_process.pid)] = ProcessGPUInfo( pid=int(nv_process.pid), - gpu_memory_usage=( - int(nv_process.usedGpuMemory) // MB - if nv_process.usedGpuMemory - else 0 - ), - gpu_utilization=None, # Not available in pynvml + gpu_memory_usage=int(nv_process.memUtil) + / 100 + * int(memory_info.total) + // MB, + gpu_utilization=int(nv_process.smUtil), ) except self._pynvml.NVMLError as e: - logger.debug(f"Failed to retrieve GPU processes: {e}") + logger.debug( + f"Failed to retrieve GPU processes using `nvmlDeviceGetProcessesUtilizationInfo`, fallback to `nvmlDeviceGetComputeRunningProcesses` and `nvmlDeviceGetGraphicsRunningProcesses`: {e}" + ) + # Fallback to older API for compatibility with older drivers + try: + nv_comp_processes = ( + self._pynvml.nvmlDeviceGetComputeRunningProcesses(gpu_handle) + ) + nv_graphics_processes = ( + self._pynvml.nvmlDeviceGetGraphicsRunningProcesses(gpu_handle) + ) + + for nv_process in nv_comp_processes + nv_graphics_processes: + processes_pids[int(nv_process.pid)] = ProcessGPUInfo( + pid=int(nv_process.pid), + gpu_memory_usage=( + int(nv_process.usedGpuMemory) // MB + if nv_process.usedGpuMemory + else 0 + ), + gpu_utilization=None, # Not available with older API + ) + except self._pynvml.NVMLError as fallback_e: + logger.debug( + f"Failed to retrieve GPU processes using `nvmlDeviceGetComputeRunningProcesses` and `nvmlDeviceGetGraphicsRunningProcesses`: {fallback_e}" + ) return GpuUtilizationInfo( index=gpu_index, @@ -591,6 +496,8 @@ def initialize(self) -> bool: except Exception as e: if self._should_disable_gpu_check(e): self._enable_metric_report = False + else: + logger.info(f"Using GPU Provider: {type(self._provider).__name__}") self._initialized = True return self._provider is not None diff --git a/python/ray/dashboard/modules/reporter/tests/test_reporter.py b/python/ray/dashboard/modules/reporter/tests/test_reporter.py index 8bcb52e76156..af0e54c373cb 100644 --- a/python/ray/dashboard/modules/reporter/tests/test_reporter.py +++ b/python/ray/dashboard/modules/reporter/tests/test_reporter.py @@ -24,7 +24,6 @@ wait_until_server_available, ) from ray.core.generated.metrics_pb2 import Metric -from ray.dashboard.modules.reporter.gpu_providers import MB, NvidiaGpuProvider from ray.dashboard.modules.reporter.reporter_agent import ( ReporterAgent, TpuUtilizationInfo, @@ -491,370 +490,6 @@ def test_report_stats_gpu(): assert gpu_metrics_aggregatd["node_gram_available"] == GPU_MEMORY * 4 - 6 -def test_report_per_component_stats_gpu(): - dashboard_agent = MagicMock() - dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) - agent = ReporterAgent(dashboard_agent) - # Assume it is a head node. - agent._is_head_node = True - # GPUstats query output example. - """ - {'index': 0, - 'uuid': 'GPU-36e1567d-37ed-051e-f8ff-df807517b396', - 'name': 'NVIDIA A10G', - 'utilization_gpu': 1, - 'memory_used': 0, - 'memory_total': 22731, - 'processes': []} - """ - GPU_MEMORY = 22731 - - # Prepare the stats data that would be collected by _collect_stats - mock_collected_stats = { - "now": 1614826393.975763, - "hostname": "fake_hostname.local", - "ip": "127.0.0.1", - "cpu": 57.4, - "cpus": (8, 4), - "mem": (17179869184, 5723353088, 66.7, 9234341888), - "shm": 456, - "workers": [ - { - "memory_info": Bunch( - rss=55934976, vms=7026937856, pfaults=15354, pageins=0 - ), - "memory_full_info": Bunch(uss=51428381), - "cpu_percent": 0.0, - "num_fds": 10, - "cmdline": ["ray::IDLE", "", "", "", "", "", "", "", "", "", "", ""], - "create_time": 1614826391.338613, - "pid": 7174, - "cpu_times": Bunch( - user=0.607899328, - system=0.274044032, - children_user=0.0, - children_system=0.0, - ), - }, - { - "memory_info": Bunch( - rss=55934976, vms=7026937856, pfaults=15354, pageins=0 - ), - "memory_full_info": Bunch(uss=51428381), - "cpu_percent": 10.0, - "num_fds": 5, - "cmdline": [ - "ray::TorchGPUWorker.dummy_method", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - ], - "create_time": 1614826391.338613, - "pid": 7175, - "cpu_times": Bunch( - user=0.607899328, - system=0.274044032, - children_user=0.0, - children_system=0.0, - ), - }, - ], - "gcs": { - "memory_info": Bunch(rss=18354171, vms=6921486336, pfaults=6203, pageins=2), - "memory_full_info": Bunch(uss=51428384), - "cpu_percent": 5.0, - "num_fds": 14, - "cmdline": ["fake gcs cmdline"], - "create_time": 1614826395.274854, - "pid": 7154, - "cpu_times": Bunch( - user=0.01683138, - system=0.045913716, - children_user=0.0, - children_system=0.0, - ), - }, - "raylet": { - "memory_info": Bunch(rss=18354176, vms=6921486336, pfaults=6206, pageins=3), - "cpu_percent": 0.0, - "num_fds": 10, - "cmdline": ["fake raylet cmdline"], - "create_time": 1614826390.274854, - "pid": 7153, - "cpu_times": Bunch( - user=0.03683138, - system=0.035913716, - children_user=0.0, - children_system=0.0, - ), - }, - "agent": { - "memory_info": Bunch(rss=18354176, vms=6921486336, pfaults=6206, pageins=3), - "cpu_percent": 0.0, - "num_fds": 10, - "cmdline": ["fake raylet cmdline"], - "create_time": 1614826390.274854, - "pid": 7154, - "cpu_times": Bunch( - user=0.03683138, - system=0.035913716, - children_user=0.0, - children_system=0.0, - ), - }, - "bootTime": 1612934656.0, - "loadAvg": ((4.4521484375, 3.61083984375, 3.5400390625), (0.56, 0.45, 0.44)), - "disk_io": (100, 100, 100, 100), - "disk_io_speed": (100, 100, 100, 100), - "disk": { - "/": Bunch( - total=250790436864, used=11316781056, free=22748921856, percent=33.2 - ), - "/tmp": Bunch( - total=250790436864, used=209532035072, free=22748921856, percent=90.2 - ), - }, - "gpus": [ - { - "index": 0, - "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b396", - "name": "NVIDIA A10G", - "utilization_gpu": 0, # NOTE: this is a dummy value - "memory_used": 0, - "memory_total": GPU_MEMORY, - "processes_pids": { - 2297322: { - "pid": 2297322, - "gpu_memory_usage": 26, - "gpu_utilization": None, - } - }, - }, - { - "index": 1, - "uuid": "GPU-36e1567d-37ed-051e-f8ff-df807517b397", - "name": "NVIDIA A10G", - "utilization_gpu": 1, - "memory_used": 1, - "memory_total": GPU_MEMORY, - "processes_pids": { - 2297332: { - "pid": 2297332, - "gpu_memory_usage": 26, - "gpu_utilization": None, - } - }, - }, - ], - "gpu_processes": {}, - "tpus": [], - "network": (13621160960, 11914936320), - "network_speed": (8.435062128545095, 7.378462703142336), - "cmdline": ["fake raylet cmdline"], - } - - gpu_metrics_aggregatd = { - "component_gpu_utilization": 0, - "component_gpu_memory_usage": 0, - } - - def create_mock_agent_proc(): - """Helper function to create a mock agent process.""" - mock_agent_proc = MagicMock() - mock_agent_proc.pid = agent_proc_pid - mock_agent_proc.create_time.return_value = agent_proc_create_time - return mock_agent_proc - - agent_proc_pid = 22334 - agent_proc_create_time = 1614826392.338613 - agent_proc_mock = create_mock_agent_proc() - - def create_mock_worker_processes(): - """Helper function to create mock worker processes for testing.""" - mock_workers = {} - - # Create mock worker processes that match what _get_workers expects - for i, worker_data in enumerate(mock_collected_stats["workers"]): - mock_proc = MagicMock() - mock_proc.status.return_value = psutil.STATUS_RUNNING - mock_proc.as_dict.return_value = { - "pid": worker_data["pid"], - "cmdline": worker_data["cmdline"], - "cpu_percent": worker_data["cpu_percent"], - "memory_info": worker_data["memory_info"], - "memory_full_info": worker_data["memory_full_info"], - "num_fds": worker_data["num_fds"], - "create_time": worker_data["create_time"], - "cpu_times": worker_data["cpu_times"], - } - mock_workers[f"worker_{i}"] = mock_proc - - # Add the agent process to the mock workers - mock_workers[agent._generate_worker_key(agent_proc_mock)] = agent_proc_mock - return mock_workers - - # Mock all the individual methods that _collect_stats calls to return predictable data - mock_patches = { - "_get_network_stats": lambda: (13621160960, 11914936320), - "_get_disk_io_stats": lambda: (100, 100, 100, 100), - "_get_gpu_usage": lambda: mock_collected_stats["gpus"], - "_get_cpu_percent": lambda _: 57.4, - "_get_mem_usage": lambda: (17179869184, 5723353088, 66.7, 9234341888), - "_get_shm_usage": lambda: 456, - "_get_raylet": lambda: mock_collected_stats["raylet"], - "_get_agent": lambda: mock_collected_stats["agent"], - "_get_boot_time": lambda: 1612934656.0, - "_get_load_avg": lambda: ( - (4.4521484375, 3.61083984375, 3.5400390625), - (0.56, 0.45, 0.44), - ), - "_get_disk_usage": lambda: mock_collected_stats["disk"], - "_get_tpu_usage": lambda: [], - "_get_gcs": lambda: mock_collected_stats["gcs"], - "_get_worker_processes": lambda: create_mock_worker_processes(), - "_get_agent_proc": lambda: agent_proc_mock, - } - - with patch.multiple(agent, **mock_patches): - # Call _collect_stats to actually run through the collection process - collected_stats_result = agent._collect_stats() - - # Verify that _collect_stats was called and returned the expected structure - assert "gpus" in collected_stats_result - assert "workers" in collected_stats_result - assert "gcs" in collected_stats_result # Should be present for head node - assert len(collected_stats_result["gpus"]) == 2 - assert len(collected_stats_result["workers"]) == 2 - assert collected_stats_result["cpu"] == 57.4 - assert collected_stats_result["mem"] == ( - 17179869184, - 5723353088, - 66.7, - 9234341888, - ) - assert collected_stats_result["shm"] == 456 - assert collected_stats_result["network"] == (13621160960, 11914936320) - assert collected_stats_result["disk_io"] == (100, 100, 100, 100) - - # Now add the GPU processes data to the collected stats result - NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS = ( - "# gpu pid type sm mem enc dec jpg ofa command \n" - "# Idx # C/G % % % % % % name \n" - " 0 7175 C 84 26 - - - - ray::TorchGPUWo\n" - " 1 7175 C 86 26 - - - - ray::TorchGPUWo\n" - ) - collected_stats_result[ - "gpu_processes" - ] = NvidiaGpuProvider._parse_nvsmi_pmon_output( - NVSMI_OUTPUT_TWO_TASK_ON_TWO_GPUS, collected_stats_result["gpus"] - ) - - # Use the collected stats result for _to_records instead of STATS_TEMPLATE - records = agent._to_records(collected_stats_result, {}) - - gpu_component_records = defaultdict(list) - - for record in records: - if record.gauge.name in gpu_metrics_aggregatd: - gpu_component_records[record.gauge.name].append(record) - for name, records in gpu_component_records.items(): - assert len(records) == 2 # Each matric should have 2 records - - for record in gpu_component_records["component_gpu_memory_usage"]: - assert record.value == int(0.26 * GPU_MEMORY * MB) - assert record.tags["Component"] == "ray::TorchGPUWorker.dummy_method" - for record in gpu_component_records["component_gpu_utilization"]: - if record.tags["GpuIndex"] == "0": - assert record.value == 84 - else: - assert record.value == 86 - - # Test stats with two tasks on one GPU. - NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS = ( - "# gpu pid type sm mem enc dec jpg ofa command \n" - "# Idx # C/G % % % % % % name \n" - " 0 7175 C 22 6 - - - - ray::TorchGPUWo\n" - " 0 7176 C 77 22 - - - - ray::TorchGPUWo\n" - " 1 - - - - - - - - - \n" - ) - - # Update the collected stats result for the second test scenario - collected_stats_result[ - "gpu_processes" - ] = NvidiaGpuProvider._parse_nvsmi_pmon_output( - NVSMI_OUTPUT_TWO_TASK_ON_ONE_GPUS, collected_stats_result["gpus"] - ) - # Move process from GPU 1 to GPU 0 - gpu1_process = collected_stats_result["gpus"][1]["processes_pids"][2297332] - collected_stats_result["gpus"][0]["processes_pids"][2297332] = gpu1_process - collected_stats_result["gpus"][1]["processes_pids"] = {} - - # Add the second GPU worker to the collected stats result - gpu_worker_2 = { - "memory_info": Bunch(rss=55934976, vms=7026937856, pfaults=15354, pageins=0), - "memory_full_info": Bunch(uss=51428381), - "cpu_percent": 15.0, - "num_fds": 6, - "cmdline": [ - "ray::TorchGPUWorker.dummy_method_2", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - ], - "create_time": 1614826391.338613, - "pid": 7176, - "cpu_times": Bunch( - user=0.607899328, - system=0.274044032, - children_user=0.0, - children_system=0.0, - ), - } - collected_stats_result["workers"].append(gpu_worker_2) - - records = agent._to_records(collected_stats_result, {}) - - gpu_component_records = defaultdict(list) - for record in records: - if record.gauge.name in gpu_metrics_aggregatd: - gpu_component_records[record.gauge.name].append(record) - for name, records in gpu_component_records.items(): - assert len(records) == 2 - - for record in gpu_component_records["component_gpu_memory_usage"]: - assert record.tags["GpuIndex"] == "0" - if record.tags["Component"] == "ray::TorchGPUWorker.dummy_method": - assert record.value == int(0.06 * GPU_MEMORY * MB) - assert record.tags["pid"] == "7175" - else: - assert record.value == int(0.22 * GPU_MEMORY * MB) - assert record.tags["pid"] == "7176" - for record in gpu_component_records["component_gpu_utilization"]: - assert record.tags["GpuIndex"] == "0" - if record.tags["Component"] == "ray::TorchGPUWorker.dummy_method": - assert record.value == 22 - assert record.tags["pid"] == "7175" - else: - assert record.value == 77 - assert record.tags["pid"] == "7176" - - def test_get_tpu_usage(): dashboard_agent = MagicMock() dashboard_agent.gcs_address = build_address("127.0.0.1", 6379) From 9d71a8dd1ad864b586885c3006ac40e455b6668c Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 18 Sep 2025 05:03:10 -0700 Subject: [PATCH 1267/1566] [core] Deleting unused variables inside the NodeManager. (#56641) Signed-off-by: irabbani Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- src/ray/raylet/node_manager.cc | 1 - src/ray/raylet/node_manager.h | 9 --------- 2 files changed, 10 deletions(-) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index c6b598adc9f9..ce469d250418 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1665,7 +1665,6 @@ void NodeManager::HandleRequestWorkerLease(rpc::RequestWorkerLeaseRequest reques const bool is_actor_creation_task = lease.GetLeaseSpecification().IsActorCreationTask(); ActorID actor_id = ActorID::Nil(); - metrics_num_task_scheduled_ += 1; if (is_actor_creation_task) { actor_id = lease.GetLeaseSpecification().ActorId(); diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 30574ec68db6..eacce783b76a 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -859,15 +859,6 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// The number of workers killed not by memory above threshold since last report. uint64_t number_workers_killed_ = 0; - /// Number of tasks that are received and scheduled. - uint64_t metrics_num_task_scheduled_; - - /// Number of tasks that are executed at this node. - uint64_t metrics_num_task_executed_; - - /// Number of tasks that are spilled back to other nodes. - uint64_t metrics_num_task_spilled_back_; - /// Managers all bundle-related operations. std::unique_ptr placement_group_resource_manager_; From fcb2dd4b33712bd25dc180e4358978d77dd6901b Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 18 Sep 2025 05:38:02 -0700 Subject: [PATCH 1268/1566] [core] Cleanup metrics stuff + fix gcc >10 build (#56514) ## Why are these changes needed? Fixing the build for my gcc devbox, was struggling to disambiguate between map with string_view vs. map with string. Changed Record to always take string_view. The string overload is only used in Cython so just have a separate RecordForCython that's not part of the MetricInterface. We can't use string_view in Cython because our Cython version isn't new enough. Also killing tag_defs.cc, it just had one line tag registrations that could go in the headers. There were some tags that were unused so killed them. There were also some string constants that could just be put in the one spot they were used so the files that use it don't need the dependency. The biggest change is changing the record to take a vector of pairs instead of an unordered map. We didn't use the map aspect of it, so a vector is more efficient. Record was also taking by const ref before and then trying to move, so the move wasn't actually happening. Taking by value now so that it actually moves. --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- cpp/include/ray/api/metric.h | 2 +- cpp/src/ray/runtime/metric/metric.cc | 7 ++- python/ray/includes/metric.pxd | 6 +-- python/ray/includes/metric.pxi | 11 ++-- src/ray/core_worker/core_worker_process.cc | 1 + .../memory_store/memory_store.cc | 6 +-- src/ray/gcs/gcs_task_manager.cc | 4 +- src/ray/gcs/store_client/redis_context.h | 2 +- .../object_manager/plasma/stats_collector.cc | 24 ++++++--- src/ray/observability/fake_metric.h | 13 +---- src/ray/observability/metric_interface.h | 4 +- src/ray/raylet/local_object_manager.cc | 6 +-- src/ray/raylet/main.cc | 1 + src/ray/rpc/rpc_chaos.h | 1 + src/ray/stats/BUILD.bazel | 2 - src/ray/stats/metric.cc | 20 ++++---- src/ray/stats/metric.h | 41 +++++++-------- src/ray/stats/metric_defs.cc | 1 + src/ray/stats/tag_defs.cc | 51 ------------------- src/ray/stats/tag_defs.h | 47 +++++------------ .../stats/tests/metric_exporter_grpc_test.cc | 5 +- src/ray/stats/tests/stats_test.cc | 8 +-- 22 files changed, 95 insertions(+), 168 deletions(-) delete mode 100644 src/ray/stats/tag_defs.cc diff --git a/cpp/include/ray/api/metric.h b/cpp/include/ray/api/metric.h index 10cb95257dd5..c0713a64b79d 100644 --- a/cpp/include/ray/api/metric.h +++ b/cpp/include/ray/api/metric.h @@ -90,7 +90,7 @@ class Histogram : public Metric { /// /// \param[in] value The value that we record. /// \param[in] tags The map tag values that we want to record - void Observe(double value, const std::unordered_map &Tags); + void Observe(double value, const std::unordered_map &tags); }; // class Histogram class Counter : public Metric { diff --git a/cpp/src/ray/runtime/metric/metric.cc b/cpp/src/ray/runtime/metric/metric.cc index 35161f57503c..2d5b995ba7b4 100644 --- a/cpp/src/ray/runtime/metric/metric.cc +++ b/cpp/src/ray/runtime/metric/metric.cc @@ -37,7 +37,12 @@ void Metric::Record(double value, const std::unordered_map &tags) { RAY_CHECK(metric_ != nullptr) << "The metric_ must not be nullptr."; stats::Metric *metric = reinterpret_cast(metric_); - metric->Record(value, tags); + std::vector> tags_pair_vec; + tags_pair_vec.reserve(tags.size()); + for (const auto &tag : tags) { + tags_pair_vec.emplace_back(std::string_view(tag.first), tag.second); + } + metric->Record(value, std::move(tags_pair_vec)); } Gauge::Gauge(const std::string &name, diff --git a/python/ray/includes/metric.pxd b/python/ray/includes/metric.pxd index 32c05aea2151..a88e0351e6bb 100644 --- a/python/ray/includes/metric.pxd +++ b/python/ray/includes/metric.pxd @@ -1,6 +1,6 @@ from libcpp.string cimport string as c_string -from libcpp.unordered_map cimport unordered_map from libcpp.vector cimport vector as c_vector +from libcpp.pair cimport pair as c_pair cdef extern from "opencensus/tags/tag_key.h" nogil: cdef cppclass CTagKey "opencensus::tags::TagKey": @@ -16,8 +16,8 @@ cdef extern from "ray/stats/metric.h" nogil: const c_vector[c_string] &tag_keys) c_string GetName() const void Record(double value) - void Record(double value, - unordered_map[c_string, c_string] &tags) + void RecordForCython(double value, + c_vector[c_pair[c_string, c_string]] tags) cdef cppclass CGauge "ray::stats::Gauge": CGauge(const c_string &name, diff --git a/python/ray/includes/metric.pxi b/python/ray/includes/metric.pxi index 0b7f6fbe91f3..acf03192d207 100644 --- a/python/ray/includes/metric.pxi +++ b/python/ray/includes/metric.pxi @@ -9,8 +9,8 @@ from ray.includes.metric cimport ( from libcpp.utility cimport move from libcpp.memory cimport unique_ptr from libcpp.string cimport string as c_string -from libcpp.unordered_map cimport unordered_map from libcpp.vector cimport vector as c_vector +from libcpp.pair cimport pair as c_pair cdef class TagKey: """Cython wrapper class of C++ `opencensus::stats::TagKey`.""" @@ -45,16 +45,19 @@ cdef class Metric: value (double): metric name. tags (dict): default none. """ - cdef unordered_map[c_string, c_string] c_tags + cdef c_vector[c_pair[c_string, c_string]] c_tags cdef double c_value # Default tags will be exported if it's empty map. if tags: + c_tags.reserve(len(tags)) for tag_k, tag_v in tags.items(): if tag_v is not None: - c_tags[tag_k.encode("ascii")] = tag_v.encode("ascii") + c_tags.push_back(c_pair[c_string, c_string]( + tag_k.encode("ascii"), + tag_v.encode("ascii"))) c_value = value with nogil: - self.metric.get().Record(c_value, move(c_tags)) + self.metric.get().RecordForCython(c_value, move(c_tags)) def get_name(self): return self.metric.get().GetName() diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 9513bbd6af05..1e819d3b2780 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -38,6 +38,7 @@ #include "ray/object_manager/plasma/client.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" +#include "ray/stats/tag_defs.h" #include "ray/util/container_util.h" #include "ray/util/env.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index 3898e048354e..a1ec48ce3fe5 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -22,6 +22,7 @@ #include "ray/common/ray_config.h" #include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/stats/tag_defs.h" namespace ray { namespace core { @@ -595,9 +596,8 @@ MemoryStoreStats CoreWorkerMemoryStore::GetMemoryStoreStatisticalData() { void CoreWorkerMemoryStore::RecordMetrics() { absl::MutexLock lock(&mu_); - ray::stats::STATS_object_store_memory.Record( - num_local_objects_bytes_, - {{ray::stats::LocationKey, ray::stats::kObjectLocWorkerHeap}}); + stats::STATS_object_store_memory.Record(num_local_objects_bytes_, + {{stats::LocationKey, "WORKER_HEAP"}}); } } // namespace core diff --git a/src/ray/gcs/gcs_task_manager.cc b/src/ray/gcs/gcs_task_manager.cc index 250a88c9fe40..be7908223c60 100644 --- a/src/ray/gcs/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_task_manager.cc @@ -695,9 +695,9 @@ void GcsTaskManager::RecordMetrics() { counters[kTotalNumTaskEventsReported]); ray::stats::STATS_gcs_task_manager_task_events_dropped.Record( - counters[kTotalNumTaskAttemptsDropped], ray::stats::kGcsTaskStatusEventDropped); + counters[kTotalNumTaskAttemptsDropped], "STATUS_EVENT"); ray::stats::STATS_gcs_task_manager_task_events_dropped.Record( - counters[kTotalNumProfileTaskEventsDropped], ray::stats::kGcsProfileEventDropped); + counters[kTotalNumProfileTaskEventsDropped], "PROFILE_EVENT"); ray::stats::STATS_gcs_task_manager_task_events_stored.Record( counters[kNumTaskEventsStored]); diff --git a/src/ray/gcs/store_client/redis_context.h b/src/ray/gcs/store_client/redis_context.h index 343465e70565..c04cfd9930a3 100644 --- a/src/ray/gcs/store_client/redis_context.h +++ b/src/ray/gcs/store_client/redis_context.h @@ -135,7 +135,7 @@ struct RedisRequestContext { "The latency of a GCS (by default Redis) operation.", "us", {100, 200, 300, 400, 500, 600, 700, 800, 900, 1000}, - {stats::kCustomKey}}; + {"CustomKey"}}; }; class RedisContext { diff --git a/src/ray/object_manager/plasma/stats_collector.cc b/src/ray/object_manager/plasma/stats_collector.cc index dd9584b85727..219c5c071d4c 100644 --- a/src/ray/object_manager/plasma/stats_collector.cc +++ b/src/ray/object_manager/plasma/stats_collector.cc @@ -17,7 +17,10 @@ #include "ray/object_manager/plasma/stats_collector.h" +#include + #include "ray/stats/metric_defs.h" +#include "ray/stats/tag_defs.h" namespace plasma { @@ -197,29 +200,34 @@ int64_t ObjectStatsCollector::GetNumBytesCreatedCurrent() const { } void ObjectStatsCollector::RecordMetrics() const { + static std::string kObjectSealed = "SEALED"; + static std::string kObjectUnsealed = "UNSEALED"; + static std::string kObjectLocMmapShm = "MMAP_SHM"; + static std::string kObjectLocMmapDisk = "MMAP_DISK"; + // Shared memory sealed ray::stats::STATS_object_store_memory.Record( bytes_by_loc_seal_.Get({/* fallback_allocated */ false, /* sealed */ true}), - {{ray::stats::LocationKey, ray::stats::kObjectLocMmapShm}, - {ray::stats::ObjectStateKey, ray::stats::kObjectSealed}}); + {{ray::stats::LocationKey, kObjectLocMmapShm}, + {ray::stats::ObjectStateKey, kObjectSealed}}); // Shared memory unsealed ray::stats::STATS_object_store_memory.Record( bytes_by_loc_seal_.Get({/* fallback_allocated */ false, /* sealed */ false}), - {{ray::stats::LocationKey, ray::stats::kObjectLocMmapShm}, - {ray::stats::ObjectStateKey, ray::stats::kObjectUnsealed}}); + {{ray::stats::LocationKey, kObjectLocMmapShm}, + {ray::stats::ObjectStateKey, kObjectUnsealed}}); // Fallback memory sealed ray::stats::STATS_object_store_memory.Record( bytes_by_loc_seal_.Get({/* fallback_allocated */ true, /* sealed */ true}), - {{ray::stats::LocationKey, ray::stats::kObjectLocMmapDisk}, - {ray::stats::ObjectStateKey, ray::stats::kObjectSealed}}); + {{ray::stats::LocationKey, kObjectLocMmapDisk}, + {ray::stats::ObjectStateKey, kObjectSealed}}); // Fallback memory unsealed ray::stats::STATS_object_store_memory.Record( bytes_by_loc_seal_.Get({/* fallback_allocated */ true, /* sealed */ false}), - {{ray::stats::LocationKey, ray::stats::kObjectLocMmapDisk}, - {ray::stats::ObjectStateKey, ray::stats::kObjectUnsealed}}); + {{ray::stats::LocationKey, kObjectLocMmapDisk}, + {ray::stats::ObjectStateKey, kObjectUnsealed}}); } void ObjectStatsCollector::GetDebugDump(std::stringstream &buffer) const { diff --git a/src/ray/observability/fake_metric.h b/src/ray/observability/fake_metric.h index 8cafb45ded68..9107520b6cd0 100644 --- a/src/ray/observability/fake_metric.h +++ b/src/ray/observability/fake_metric.h @@ -35,18 +35,7 @@ class FakeMetric : public MetricInterface { } void Record(double value, - const std::unordered_map &tags) override { - stats::TagsType tags_pair_vec; - tags_pair_vec.reserve(tags.size()); - std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { - return tags_pair_vec.emplace_back(stats::TagKeyType::Register(tag.first), - std::move(tag.second)); - }); - Record(value, std::move(tags_pair_vec)); - } - - void Record(double value, - const std::unordered_map &tags) override { + std::vector> tags) override { stats::TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { diff --git a/src/ray/observability/metric_interface.h b/src/ray/observability/metric_interface.h index 4ba235e0e0b7..892463e20ba3 100644 --- a/src/ray/observability/metric_interface.h +++ b/src/ray/observability/metric_interface.h @@ -40,9 +40,7 @@ class MetricInterface { virtual void Record(double value) = 0; virtual void Record(double value, stats::TagsType tags) = 0; virtual void Record(double value, - const std::unordered_map &tags) = 0; - virtual void Record(double value, - const std::unordered_map &tags) = 0; + std::vector> tags) = 0; }; } // namespace observability diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index a7100a828c96..8d0daeb009f1 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -22,6 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/stats/metric_defs.h" +#include "ray/stats/tag_defs.h" namespace ray { @@ -646,9 +647,8 @@ void LocalObjectManager::RecordMetrics() const { ray::stats::STATS_spill_manager_request_total.Record(restored_objects_total_, "Restored"); - ray::stats::STATS_object_store_memory.Record( - spilled_bytes_current_, - {{ray::stats::LocationKey.name(), ray::stats::kObjectLocSpilled}}); + stats::STATS_object_store_memory.Record( + spilled_bytes_current_, {{std::string_view(stats::LocationKey.name()), "SPILLED"}}); ray::stats::STATS_spill_manager_request_total.Record(num_failed_deletion_requests_, "FailedDeletion"); diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index c3a1a8ee3232..e45c90ae9e3f 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -41,6 +41,7 @@ #include "ray/rpc/object_manager/object_manager_client.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" +#include "ray/stats/tag_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" #include "ray/util/process.h" diff --git a/src/ray/rpc/rpc_chaos.h b/src/ray/rpc/rpc_chaos.h index 68a41aa9a4a0..091e9c966daa 100644 --- a/src/ray/rpc/rpc_chaos.h +++ b/src/ray/rpc/rpc_chaos.h @@ -14,6 +14,7 @@ #pragma once +#include #include namespace ray { diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 2be6459bb0fd..67417360d2f4 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -5,7 +5,6 @@ ray_cc_library( srcs = [ "metric.cc", "metric_defs.cc", - "tag_defs.cc", ], hdrs = [ "metric.h", @@ -59,7 +58,6 @@ ray_cc_library( ray_cc_library( name = "tag_defs", - srcs = ["tag_defs.cc"], hdrs = ["tag_defs.h"], deps = [ "//src/ray/observability:metric_interface", diff --git a/src/ray/stats/metric.cc b/src/ray/stats/metric.cc index 89ba9e21303e..a6ab448b6997 100644 --- a/src/ray/stats/metric.cc +++ b/src/ray/stats/metric.cc @@ -162,24 +162,22 @@ void Metric::Record(double value, TagsType tags) { } void Metric::Record(double value, - const std::unordered_map &tags) { + std::vector> tags) { TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); - std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { - return tags_pair_vec.emplace_back(TagKeyType::Register(tag.first), - std::move(tag.second)); - }); + for (auto &tag : tags) { + tags_pair_vec.emplace_back(TagKeyType::Register(tag.first), std::move(tag.second)); + } Record(value, std::move(tags_pair_vec)); } -void Metric::Record(double value, - const std::unordered_map &tags) { +void Metric::RecordForCython(double value, + std::vector> tags) { TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); - std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { - return tags_pair_vec.emplace_back(TagKeyType::Register(tag.first), - std::move(tag.second)); - }); + for (auto &tag : tags) { + tags_pair_vec.emplace_back(TagKeyType::Register(tag.first), std::move(tag.second)); + } Record(value, std::move(tags_pair_vec)); } diff --git a/src/ray/stats/metric.h b/src/ray/stats/metric.h index 4ae0c4ec3f4a..4caf514905ee 100644 --- a/src/ray/stats/metric.h +++ b/src/ray/stats/metric.h @@ -14,24 +14,19 @@ #pragma once -#include - +#include +#include #include #include -#include #include -#include -#include #include #include "absl/container/flat_hash_map.h" #include "opencensus/stats/stats.h" -#include "opencensus/stats/stats_exporter.h" #include "opencensus/tags/tag_key.h" #include "ray/common/ray_config.h" #include "ray/observability/metric_interface.h" #include "ray/observability/open_telemetry_metric_recorder.h" -#include "ray/stats/tag_defs.h" #include "ray/util/logging.h" namespace ray { @@ -113,7 +108,7 @@ class Metric : public observability::MetricInterface { std::string unit, const std::vector &tag_keys = {}); - virtual ~Metric(); + ~Metric() override; Metric &operator()() { return *this; } @@ -136,9 +131,12 @@ class Metric : public observability::MetricInterface { /// \param value The value that we record. /// \param tags The map tag values that we want to record for this metric record. void Record(double value, - const std::unordered_map &tags) override; - void Record(double value, - const std::unordered_map &tags) override; + std::vector> tags) override; + + /// Our version of Cython doesn't support string_view (later versions do), so we need to + /// have this for it. + void RecordForCython(double value, + std::vector> tags); protected: virtual void RegisterView() = 0; @@ -234,7 +232,7 @@ class Sum : public Metric { }; // class Sum -enum StatsType : int { COUNT, SUM, GAUGE, HISTOGRAM }; +enum StatsType : uint8_t { COUNT, SUM, GAUGE, HISTOGRAM }; namespace internal { void RegisterAsView(opencensus::stats::ViewDescriptor view_descriptor, @@ -350,12 +348,12 @@ class Stats { /// \register_func The function to register the metric Stats(const std::string &measure, const std::string &description, - std::vector tag_keys, - std::vector buckets, - std::function, - const std::vector &buckets)> register_func) + const std::vector &tag_keys, + const std::vector &buckets, + const std::function, + const std::vector &buckets)> ®ister_func) : name_(measure), tag_keys_(convert_tags(tag_keys)) { auto stats_init = [register_func, measure, description, buckets, this]() { measure_ = std::make_unique(Measure::Register(measure, description, "")); @@ -408,7 +406,7 @@ class Stats { /// Record a value /// \param val The value to record void Record(double val) { - Record(val, std::unordered_map()); + Record(val, std::vector>{}); } /// Record a value @@ -429,7 +427,7 @@ class Stats { /// Record a value /// \param val The value to record /// \param tags The tags for this value - void Record(double val, std::unordered_map tags) { + void Record(double val, std::vector> tags) { if (StatsConfig::instance().IsStatsDisabled() || !measure_) { return; } @@ -444,8 +442,7 @@ class Stats { /// Record a value /// \param val The value to record /// \param tags Registered tags and corresponding tag values for this value - void Record(double val, - const std::vector> &tags) { + void Record(double val, const TagsType &tags) { if (StatsConfig::instance().IsStatsDisabled() || !measure_) { return; } diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index b42d661eec64..1cd15215b406 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -14,6 +14,7 @@ #include "ray/stats/metric_defs.h" +#include "ray/stats/tag_defs.h" #include "ray/util/size_literals.h" using namespace ray::literals; diff --git a/src/ray/stats/tag_defs.cc b/src/ray/stats/tag_defs.cc deleted file mode 100644 index 600d5f1ef95b..000000000000 --- a/src/ray/stats/tag_defs.cc +++ /dev/null @@ -1,51 +0,0 @@ -// Copyright 2017 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/stats/tag_defs.h" - -namespace ray { -namespace stats { -const TagKeyType ComponentKey = TagKeyType::Register("Component"); - -const TagKeyType JobNameKey = TagKeyType::Register("JobName"); - -const TagKeyType NodeAddressKey = TagKeyType::Register("NodeAddress"); - -const TagKeyType VersionKey = TagKeyType::Register("Version"); - -const TagKeyType LanguageKey = TagKeyType::Register("Language"); - -const TagKeyType WorkerPidKey = TagKeyType::Register("WorkerPid"); - -const TagKeyType DriverPidKey = TagKeyType::Register("DriverPid"); - -const TagKeyType ActorIdKey = TagKeyType::Register("ActorId"); - -// Keep in sync with the WORKER_ID_TAG_KEY in -// python/ray/_private/telemetry/metric_cardinality.py -const TagKeyType WorkerIdKey = TagKeyType::Register("WorkerId"); - -const TagKeyType JobIdKey = TagKeyType::Register("JobId"); - -const TagKeyType SessionNameKey = TagKeyType::Register("SessionName"); - -const TagKeyType NameKey = TagKeyType::Register("Name"); - -const TagKeyType LocationKey = TagKeyType::Register("Location"); - -const TagKeyType ObjectStateKey = TagKeyType::Register("ObjectState"); - -const TagKeyType SourceKey = TagKeyType::Register("Source"); -} // namespace stats -} // namespace ray diff --git a/src/ray/stats/tag_defs.h b/src/ray/stats/tag_defs.h index 47d197f71161..12e8af6e10e3 100644 --- a/src/ray/stats/tag_defs.h +++ b/src/ray/stats/tag_defs.h @@ -22,52 +22,29 @@ namespace ray { namespace stats { -extern const TagKeyType ComponentKey; +inline const TagKeyType ComponentKey = TagKeyType::Register("Component"); -extern const TagKeyType JobNameKey; +inline const TagKeyType NodeAddressKey = TagKeyType::Register("NodeAddress"); -extern const TagKeyType NodeAddressKey; +inline const TagKeyType VersionKey = TagKeyType::Register("Version"); -extern const TagKeyType VersionKey; +inline const TagKeyType LanguageKey = TagKeyType::Register("Language"); -extern const TagKeyType LanguageKey; +// Keep in sync with the WORKER_ID_TAG_KEY in +// python/ray/_private/telemetry/metric_cardinality.py +inline const TagKeyType WorkerIdKey = TagKeyType::Register("WorkerId"); -extern const TagKeyType WorkerPidKey; +inline const TagKeyType SessionNameKey = TagKeyType::Register("SessionName"); -extern const TagKeyType DriverPidKey; - -extern const TagKeyType ActorIdKey; - -extern const TagKeyType WorkerIdKey; - -extern const TagKeyType JobIdKey; - -extern const TagKeyType SessionNameKey; - -extern const TagKeyType NameKey; - -extern const TagKeyType SourceKey; +inline const TagKeyType NameKey = TagKeyType::Register("Name"); // Object store memory location tag constants -extern const TagKeyType LocationKey; - -constexpr char kResourceNameKey[] = "ResourceName"; - -constexpr char kCustomKey[] = "CustomKey"; - -constexpr char kObjectLocMmapShm[] = "MMAP_SHM"; -constexpr char kObjectLocMmapDisk[] = "MMAP_DISK"; -constexpr char kObjectLocSpilled[] = "SPILLED"; -constexpr char kObjectLocWorkerHeap[] = "WORKER_HEAP"; +inline const TagKeyType LocationKey = TagKeyType::Register("Location"); // Object store memory sealed/unsealed tag -extern const TagKeyType ObjectStateKey; -constexpr char kObjectSealed[] = "SEALED"; -constexpr char kObjectUnsealed[] = "UNSEALED"; +inline const TagKeyType ObjectStateKey = TagKeyType::Register("ObjectState"); -// GCS task manager tags -constexpr char kGcsTaskStatusEventDropped[] = "STATUS_EVENT"; -constexpr char kGcsProfileEventDropped[] = "PROFILE_EVENT"; +inline const TagKeyType SourceKey = TagKeyType::Register("Source"); } // namespace stats } // namespace ray diff --git a/src/ray/stats/tests/metric_exporter_grpc_test.cc b/src/ray/stats/tests/metric_exporter_grpc_test.cc index a7553c88f792..b2080042ccf2 100644 --- a/src/ray/stats/tests/metric_exporter_grpc_test.cc +++ b/src/ray/stats/tests/metric_exporter_grpc_test.cc @@ -33,6 +33,7 @@ #include "ray/stats/metric_defs.h" #include "ray/stats/metric_exporter.h" #include "ray/stats/stats.h" +#include "ray/stats/tag_defs.h" #include "ray/util/logging.h" namespace ray { @@ -77,7 +78,7 @@ const auto status_tag_key = TagKey::Register("grpc_client_status"); TEST(OpenCensusProtoExporterTest, adds_global_tags_to_grpc) { const stats::TagsType global_tags = {{stats::LanguageKey, "CPP"}, - {stats::WorkerPidKey, "1000"}}; + {stats::WorkerIdKey, "1000"}}; StatsConfig::instance().SetGlobalTags(global_tags); auto measure = MeasureInt64::Register( @@ -118,7 +119,7 @@ TEST(OpenCensusProtoExporterTest, adds_global_tags_to_grpc) { std::unordered_map expected_labels = { {method_tag_key.name(), "MyService.myMethod"}, {stats::LanguageKey.name(), "CPP"}, - {stats::WorkerPidKey.name(), "1000"}}; + {stats::WorkerIdKey.name(), "1000"}}; ASSERT_EQ(labels, expected_labels); } diff --git a/src/ray/stats/tests/stats_test.cc b/src/ray/stats/tests/stats_test.cc index 47d2c22c7663..2a4ddffc5804 100644 --- a/src/ray/stats/tests/stats_test.cc +++ b/src/ray/stats/tests/stats_test.cc @@ -86,7 +86,7 @@ class StatsTest : public ::testing::Test { ray::stats::StatsConfig::instance().SetReportInterval(report_interval); ray::stats::StatsConfig::instance().SetHarvestInterval(harvest_interval); const stats::TagsType global_tags = { - {stats::TagKeyType::Register(stats::kResourceNameKey), "CPU"}}; + {stats::TagKeyType::Register("ResourceName"), "CPU"}}; ray::stats::Init(global_tags, MetricsAgentPort, WorkerID::Nil()); MockExporter::Register(); } @@ -99,7 +99,7 @@ class StatsTest : public ::testing::Test { ray::stats::Gauge ray_metric_test_metrics_{"local_available_resource", "The available resources on this node.", "", - {stats::kResourceNameKey}}; + {"ResourceName"}}; }; TEST_F(StatsTest, F) { @@ -179,7 +179,7 @@ TEST_F(StatsTest, MultiThreadedInitializationTest) { // Spawn 10 threads that init and shutdown again and again. // The test will have memory corruption if it doesn't work as expected. const stats::TagsType global_tags = {{stats::LanguageKey, "CPP"}, - {stats::WorkerPidKey, "1000"}}; + {stats::WorkerIdKey, "1000"}}; std::vector threads; for (int i = 0; i < 5; i++) { threads.emplace_back([global_tags]() { @@ -210,7 +210,7 @@ TEST_F(StatsTest, TestShutdownTakesLongTime) { // Spawn 10 threads that init and shutdown again and again. // The test will have memory corruption if it doesn't work as expected. const stats::TagsType global_tags = {{stats::LanguageKey, "CPP"}, - {stats::WorkerPidKey, "1000"}}; + {stats::WorkerIdKey, "1000"}}; // Flush interval is 30 seconds. Shutdown should not take 30 seconds in this case. uint32_t override_report_flush_interval = 30000; From 6af58d80a936bcd25e8c64c73efa93ae14bd8d44 Mon Sep 17 00:00:00 2001 From: Vaishnavi Panchavati <38342947+vaishdho1@users.noreply.github.com> Date: Thu, 18 Sep 2025 05:58:05 -0700 Subject: [PATCH 1269/1566] [core] Migrate serialization from _private to _common (#56590) Moved `ray/_private/serialization.py` into `ray/_common`. Moved `test_serialization.py` from file `ray/tests` into `ray/_common/tests`. #53478 Signed-off-by: Vaishnavi Panchavati Signed-off-by: Douglas Strodtman --- python/ray/_common/serialization.py | 34 ++++ python/ray/_private/function_manager.py | 2 +- python/ray/_private/serialization.py | 19 +- .../ray/air/util/object_extensions/arrow.py | 2 +- python/ray/remote_function.py | 2 +- .../serialization/serialization_benchmark.py | 163 ------------------ python/ray/serve/_private/config.py | 2 +- python/ray/serve/api.py | 2 +- 8 files changed, 40 insertions(+), 186 deletions(-) create mode 100644 python/ray/_common/serialization.py delete mode 100644 python/ray/serve/_private/benchmarks/serialization/serialization_benchmark.py diff --git a/python/ray/_common/serialization.py b/python/ray/_common/serialization.py new file mode 100644 index 000000000000..051f155d3874 --- /dev/null +++ b/python/ray/_common/serialization.py @@ -0,0 +1,34 @@ +import io +import logging +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + pass + + +import ray._private.utils +import ray.cloudpickle as pickle +import ray.exceptions +from ray._private import ray_constants +from ray.util import inspect_serializability + +logger = logging.getLogger(__name__) +ALLOW_OUT_OF_BAND_OBJECT_REF_SERIALIZATION = ray_constants.env_bool( + "RAY_allow_out_of_band_object_ref_serialization", True +) + + +def pickle_dumps(obj: Any, error_msg: str): + """Wrap cloudpickle.dumps to provide better error message + when the object is not serializable. + """ + try: + return pickle.dumps(obj) + except (TypeError, ray.exceptions.OufOfBandObjectRefSerializationException) as e: + sio = io.StringIO() + inspect_serializability(obj, print_file=sio) + msg = f"{error_msg}:\n{sio.getvalue()}" + if isinstance(e, TypeError): + raise TypeError(msg) from e + else: + raise ray.exceptions.OufOfBandObjectRefSerializationException(msg) diff --git a/python/ray/_private/function_manager.py b/python/ray/_private/function_manager.py index 76d98d536d62..e53ce1a1d3f8 100644 --- a/python/ray/_private/function_manager.py +++ b/python/ray/_private/function_manager.py @@ -15,6 +15,7 @@ import ray import ray._private.profiling as profiling from ray import cloudpickle as pickle +from ray._common.serialization import pickle_dumps from ray._private import ray_constants from ray._private.inspect_util import ( is_class_method, @@ -22,7 +23,6 @@ is_static_method, ) from ray._private.ray_constants import KV_NAMESPACE_FUNCTION_TABLE -from ray._private.serialization import pickle_dumps from ray._private.utils import ( check_oversized_function, ensure_str, diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index e2729ac38ab8..414297e97112 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -1,4 +1,3 @@ -import io import logging import threading import traceback @@ -54,7 +53,7 @@ WorkerCrashedError, ) from ray.experimental.compiled_dag_ref import CompiledDAGRef -from ray.util import inspect_serializability, serialization_addons +from ray.util import serialization_addons logger = logging.getLogger(__name__) ALLOW_OUT_OF_BAND_OBJECT_REF_SERIALIZATION = ray_constants.env_bool( @@ -66,22 +65,6 @@ class DeserializationError(Exception): pass -def pickle_dumps(obj: Any, error_msg: str): - """Wrap cloudpickle.dumps to provide better error message - when the object is not serializable. - """ - try: - return pickle.dumps(obj) - except (TypeError, ray.exceptions.OufOfBandObjectRefSerializationException) as e: - sio = io.StringIO() - inspect_serializability(obj, print_file=sio) - msg = f"{error_msg}:\n{sio.getvalue()}" - if isinstance(e, TypeError): - raise TypeError(msg) from e - else: - raise ray.exceptions.OufOfBandObjectRefSerializationException(msg) - - def _object_ref_deserializer( binary, call_site, owner_address, object_status, tensor_transport_val ): diff --git a/python/ray/air/util/object_extensions/arrow.py b/python/ray/air/util/object_extensions/arrow.py index 47867e54f5a3..30c9743e3261 100644 --- a/python/ray/air/util/object_extensions/arrow.py +++ b/python/ray/air/util/object_extensions/arrow.py @@ -6,8 +6,8 @@ from packaging.version import parse as parse_version import ray.air.util.object_extensions.pandas +from ray._common.serialization import pickle_dumps from ray._private.arrow_utils import get_pyarrow_version -from ray._private.serialization import pickle_dumps from ray.util.annotations import PublicAPI MIN_PYARROW_VERSION_SCALAR_SUBCLASS = parse_version("9.0.0") diff --git a/python/ray/remote_function.py b/python/ray/remote_function.py index 0d6d20e44579..ae9479d448fb 100644 --- a/python/ray/remote_function.py +++ b/python/ray/remote_function.py @@ -10,12 +10,12 @@ from ray import Language, cross_language from ray._common import ray_option_utils from ray._common.ray_option_utils import _warn_if_using_deprecated_placement_group +from ray._common.serialization import pickle_dumps from ray._private.auto_init_hook import wrap_auto_init from ray._private.client_mode_hook import ( client_mode_convert_function, client_mode_should_convert, ) -from ray._private.serialization import pickle_dumps from ray._private.utils import get_runtime_env_info, parse_runtime_env_for_task_or_actor from ray._raylet import ( STREAMING_GENERATOR_RETURN, diff --git a/python/ray/serve/_private/benchmarks/serialization/serialization_benchmark.py b/python/ray/serve/_private/benchmarks/serialization/serialization_benchmark.py deleted file mode 100644 index 12e600758c22..000000000000 --- a/python/ray/serve/_private/benchmarks/serialization/serialization_benchmark.py +++ /dev/null @@ -1,163 +0,0 @@ -import asyncio -import enum -import pickle -import time -from typing import Any, Callable - -import click -import msgpack - -from ray._private.serialization import SerializationContext -from ray.cloudpickle import cloudpickle_fast -from ray.serve._private.benchmarks.common import ( - collect_profile_events, - run_latency_benchmark, -) -from ray.serve._private.benchmarks.serialization.common import ( - PayloadDataclass, - PayloadPydantic, -) - - -class PayloadType(enum.Enum): - PYDANTIC = "pydantic" - DATACLASS = "dataclass" - - -class SerializerType(enum.Enum): - RAY = "ray" - PICKLE = "pickle" - CLOUDPICKLE = "cloudpickle" - MSGPACK = "msgpack" - - -_PERCENTILES = [0.5, 0.99] - - -sc = SerializationContext(None) - - -def _create_model(cls): - return cls( - text="Test output", - floats=[float(f) for f in range(1, 100)], - ints=list(range(1, 100)), - ts=time.time(), - reason="Success!", - ) - - -def _blackhole(o): - """Placeholder to be used in the benchmark to make sure runtime - doesn't optimize out unused results""" - pass - - -async def run_serializer_benchmark( - model, serializer: Callable[[Any], bytes], iterations: int -): - def _serde_loop(): - bs = serializer(model) - _blackhole(bs) - - pd = await run_latency_benchmark(_serde_loop, iterations) - - print("Latencies (ms):\n", pd.describe(percentiles=_PERCENTILES)) - - -@click.command(help="Benchmark serialization latency") -@click.option( - "--trials", - type=int, - default=1000, - help="Total number of trials to run in a single benchmark run", -) -@click.option( - "--batch-size", - type=int, - default=10, - help="Controls how many objects are contained in a serialized batch", -) -@click.option( - "--payload-type", - type=PayloadType, - help="Target type of the payload to be benchmarked (supported: pydantic, " - "dataclass)", -) -@click.option( - "--serializer", - type=SerializerType, - help="Target type of the serializer to be benchmarked (supported: ray, pickle, " - "cloudpickle, msgpack)", -) -@click.option( - "--profile-events", - type=bool, - default=False, -) -def main( - trials: int, - batch_size: int, - payload_type: PayloadType, - serializer: SerializerType, - profile_events: bool, -): - if serializer == SerializerType.RAY: - - def _serialize(obj): - so = sc.serialize(obj) - bs = so.to_bytes() - return bs - - elif serializer == SerializerType.CLOUDPICKLE: - - def _serialize(obj): - bs = cloudpickle_fast.dumps(obj) - return bs - - elif serializer == SerializerType.PICKLE: - - def _serialize(obj): - bs = pickle.dumps(obj) - return bs - - elif serializer == SerializerType.MSGPACK: - - def _dumps(obj): - bs = msgpack.dumps(obj.__dict__) - # print(f"Bytes ({len(bs)}): ", bs) - return bs - - def _loads(bs): - dict = msgpack.loads(bs) - return PayloadPydantic(**dict) - - sc._register_cloudpickle_serializer(PayloadPydantic, _dumps, _loads) - - def _serialize(obj): - so = sc.serialize(obj) - bs = so.to_bytes() - return bs - - else: - raise NotImplementedError(serializer) - - if payload_type == PayloadType.PYDANTIC: - model = _create_model(PayloadPydantic) - elif payload_type == PayloadType.DATACLASS: - model = _create_model(PayloadDataclass) - else: - raise NotImplementedError(f"Not supported ({payload_type})") - - payload = [model.copy(deep=True) for _ in range(batch_size)] - - routine = run_serializer_benchmark(payload, _serialize, trials) - - if profile_events: - routine = collect_profile_events(routine) - - asyncio.run(routine) - - -if __name__ == "__main__": - main() diff --git a/python/ray/serve/_private/config.py b/python/ray/serve/_private/config.py index eb633d6fa12d..9819dfc41a01 100644 --- a/python/ray/serve/_private/config.py +++ b/python/ray/serve/_private/config.py @@ -16,8 +16,8 @@ PositiveInt, validator, ) +from ray._common.serialization import pickle_dumps from ray._common.utils import resources_from_ray_options -from ray._private.serialization import pickle_dumps from ray.serve._private.constants import ( DEFAULT_GRACEFUL_SHUTDOWN_TIMEOUT_S, DEFAULT_GRACEFUL_SHUTDOWN_WAIT_LOOP_S, diff --git a/python/ray/serve/api.py b/python/ray/serve/api.py index 5ae14f3c8afd..fb5f40ea436a 100644 --- a/python/ray/serve/api.py +++ b/python/ray/serve/api.py @@ -10,7 +10,7 @@ import ray from ray import cloudpickle -from ray._private.serialization import pickle_dumps +from ray._common.serialization import pickle_dumps from ray.serve._private.build_app import build_app from ray.serve._private.config import ( DeploymentConfig, From b3f65557680273069c1bc75020f4393115b457f1 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 18 Sep 2025 06:02:56 -0700 Subject: [PATCH 1270/1566] [core] Fixing windows build with cgroups. Broken in cgroups 10/n. (#56626) Broken in #56446. This should stop being possible once there's a single cgroups target exported (as highlighted in #54703). I've fixed the broken build and I've added a temporary test target that builds the noop implementations as part of Linux CI so it gets caught in premerge. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- src/ray/common/cgroup2/BUILD.bazel | 28 ++++++++++++++++- src/ray/common/cgroup2/noop_cgroup_manager.cc | 5 +++ .../cgroup2/noop_sysfs_cgroup_driver.cc | 5 +++ src/ray/common/cgroup2/tests/BUILD.bazel | 17 ++++++++++ .../common/cgroup2/tests/noop_cgroup_test.cc | 31 +++++++++++++++++++ 5 files changed, 85 insertions(+), 1 deletion(-) create mode 100644 src/ray/common/cgroup2/tests/noop_cgroup_test.cc diff --git a/src/ray/common/cgroup2/BUILD.bazel b/src/ray/common/cgroup2/BUILD.bazel index bdf5564c25c9..5eaf9e515088 100644 --- a/src/ray/common/cgroup2/BUILD.bazel +++ b/src/ray/common/cgroup2/BUILD.bazel @@ -79,7 +79,33 @@ ray_cc_library( }), ) -# Private Targets. +# Private targets +# +# TODO(#54703): This target builds the noop implementations. +# There's a corressponding test that runs on Linux and Non-Linux +# CI so breakages are caught in premerge before these targets are +# cleaned up at the end of the resource isolation milestone 1 +# project. +ray_cc_library( + name = "noop_cgroup_targets", + srcs = [ + "noop_cgroup_manager.cc", + "noop_sysfs_cgroup_driver.cc", + ], + hdrs = [ + "cgroup_manager.h", + "scoped_cgroup_operation.h", + "sysfs_cgroup_driver.h", + ], + visibility = [":__subpackages__"], + deps = [ + ":cgroup_driver_interface", + ":cgroup_manager_interface", + "//src/ray/common:status", + "//src/ray/common:status_or", + ], +) + ray_cc_library( name = "fake_cgroup_driver", hdrs = [ diff --git a/src/ray/common/cgroup2/noop_cgroup_manager.cc b/src/ray/common/cgroup2/noop_cgroup_manager.cc index 1accae4827df..bf982d4d44d7 100644 --- a/src/ray/common/cgroup2/noop_cgroup_manager.cc +++ b/src/ray/common/cgroup2/noop_cgroup_manager.cc @@ -36,4 +36,9 @@ StatusOr> CgroupManager::Create( return std::unique_ptr( new CgroupManager(base_cgroup_path, node_id, std::move(cgroup_driver))); } + +Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { + return Status::OK(); +} + } // namespace ray diff --git a/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc b/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc index b448f021a8ad..40eb13e12cf5 100644 --- a/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc +++ b/src/ray/common/cgroup2/noop_sysfs_cgroup_driver.cc @@ -71,4 +71,9 @@ StatusOr> SysFsCgroupDriver::ReadControllerFile( return std::unordered_set{}; } +Status SysFsCgroupDriver::AddProcessToCgroup(const std::string &cgroup, + const std::string &process) { + return Status::OK(); +} + } // namespace ray diff --git a/src/ray/common/cgroup2/tests/BUILD.bazel b/src/ray/common/cgroup2/tests/BUILD.bazel index 06d0ca6d1221..a910059d6adf 100644 --- a/src/ray/common/cgroup2/tests/BUILD.bazel +++ b/src/ray/common/cgroup2/tests/BUILD.bazel @@ -39,3 +39,20 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +# TODO(#54703): This target builds the noop implementations. +# There's a corressponding test that runs on Linux and Non-Linux +# CI so breakages are caught in premerge before these targets are +# cleaned up at the end of the resource isolation milestone 1 +# project. +ray_cc_test( + name = "noop_cgroup_test", + srcs = ["noop_cgroup_test.cc"], + tags = [ + "team:core", + ], + deps = [ + "//src/ray/common/cgroup2:noop_cgroup_targets", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/common/cgroup2/tests/noop_cgroup_test.cc b/src/ray/common/cgroup2/tests/noop_cgroup_test.cc new file mode 100644 index 000000000000..705c6d6e8349 --- /dev/null +++ b/src/ray/common/cgroup2/tests/noop_cgroup_test.cc @@ -0,0 +1,31 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/cgroup2/cgroup_manager.h" +#include "ray/common/cgroup2/sysfs_cgroup_driver.h" +#include "ray/common/status.h" +namespace ray { + +TEST(NoopCgroupTest, NoopCgroupDriverAndManagerBuildSuccessfullyOnAllPlatforms) { + std::unique_ptr sysfs_cgroup_driver = + std::make_unique(); + auto cgroup_manager = + CgroupManager::Create("", "", 1, 1, std::move(sysfs_cgroup_driver)); +} + +} // namespace ray From b364cf1f8c43d0d46edc88939c88baa751680e6f Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Fri, 19 Sep 2025 00:52:40 +0800 Subject: [PATCH 1271/1566] [Server] omit unnecessary newlines in the config generated by serve build app:app (#56609) ## Why are these changes needed? Omit unnecessary newlines in the config generated by `serve build app:app` now ```shell # This file was generated using the `serve build` command on Ray v2.49.1. proxy_location: EveryNode http_options: host: 0.0.0.0 port: 8000 grpc_options: port: 9000 grpc_servicer_functions: [] logging_config: encoding: TEXT log_level: INFO logs_dir: null enable_access_log: true additional_log_standard_attrs: [] applications: - name: app1 route_prefix: / import_path: app:app runtime_env: {} deployments: - name: UniformRequestRouterApp num_replicas: 10 ray_actor_options: num_cpus: 0.0 request_router_config: request_router_class: app.UniformRequestRouter request_router_kwargs: {} request_routing_stats_period_s: 10 request_routing_stats_timeout_s: 30 ``` ## Related issue number Closes #56594 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [x] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: daiping8 Signed-off-by: Douglas Strodtman --- python/ray/serve/scripts.py | 40 ++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 21 deletions(-) diff --git a/python/ray/serve/scripts.py b/python/ray/serve/scripts.py index a7ae87de680d..20e260943a57 100644 --- a/python/ray/serve/scripts.py +++ b/python/ray/serve/scripts.py @@ -868,6 +868,8 @@ def build_app_config(import_path: str, name: str = None): Dumper=ServeDeploySchemaDumper, default_flow_style=False, sort_keys=False, + width=80, # Set width to avoid folding long lines + indent=2, # Use 2-space indentation for more compact configuration ) cli_logger.info( "The auto-generated application names default to `app1`, `app2`, ... etc. " @@ -884,35 +886,31 @@ def build_app_config(import_path: str, name: str = None): class ServeDeploySchemaDumper(yaml.SafeDumper): """YAML dumper object with custom formatting for ServeDeploySchema. - Reformat config to follow this spacing: - --------------------------------------- + Reformat config to follow this spacing with appropriate line breaks: + --------------------------------------------------------------- + proxy_location: EveryNode - host: 0.0.0.0 + http_options: + host: 0.0.0.0 + port: 8000 - port: 8000 + grpc_options: + port: 9000 + grpc_servicer_functions: [] - applications: - - - name: app1 - - import_path: app1.path - - runtime_env: {} + logging_config: + # ... - deployments: - - - name: deployment1 - ... - - - name: deployment2 - ... + applications: + - name: app1 + import_path: app1.path + # ... """ def write_line_break(self, data=None): # https://github.com/yaml/pyyaml/issues/127#issuecomment-525800484 super().write_line_break(data) - # Indents must be at most 4 to ensure that only the top 4 levels of - # the config file have line breaks between them. - if len(self.indents) <= 4: + # Only add extra line breaks between top-level keys + if len(self.indents) == 1: super().write_line_break() From 62b686fecbb772f65b968e482ed97ba0765fe936 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Thu, 18 Sep 2025 10:02:05 -0700 Subject: [PATCH 1272/1566] [core] Default main service metrics disabled (#56461) Signed-off-by: zac Signed-off-by: Edward Oakes Co-authored-by: Jiajun Yao Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_metrics_agent.py | 4 +++- src/ray/common/ray_config_def.h | 2 +- src/ray/raylet/main.cc | 1 - 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 442d03d37379..049ebb85cb19 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -597,6 +597,8 @@ def test_operation_stats(monkeypatch, shutdown_only): "ray_operation_queue_time_ms_bucket", "ray_operation_active_count", ] + + monkeypatch.setenv("RAY_emit_main_service_metrics", "1") timeseries = PrometheusTimeseries() addr = ray.init() remote_signal = SignalActor.remote() @@ -654,7 +656,7 @@ def verify(): assert {"raylet", "gcs_server"} == components return True - wait_for_condition(verify, timeout=30) + wait_for_condition(verify, timeout=30) @pytest.mark.skipif(prometheus_client is None, reason="Prometheus not installed") diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 4f166f891816..fb141a4fca07 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -27,7 +27,7 @@ RAY_CONFIG(bool, event_stats, true) /// Whether to enable Ray event stats metrics for main services /// such as gcs and raylet (which today are the sole consumers of /// this config) -RAY_CONFIG(bool, emit_main_service_metrics, true) +RAY_CONFIG(bool, emit_main_service_metrics, false) /// Whether to enable cluster authentication. RAY_CONFIG(bool, enable_cluster_auth, true) diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index e45c90ae9e3f..99d5530f9fb0 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -298,7 +298,6 @@ int main(int argc, char *argv[]) { ray::raylet::NodeManagerConfig node_manager_config; absl::flat_hash_map static_resource_conf; - SetThreadName("raylet"); // IO Service for node manager. instrumented_io_context main_service{ From 6ed3ba4384d5e1c005b585bb7803abdbcd1ba35d Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Thu, 18 Sep 2025 14:31:40 -0400 Subject: [PATCH 1273/1566] [Data] Added support for projection pushdown into Parquet reads (#56500) ## Why are these changes needed? Adding support for projection pushdown into `Read` ops reading from parquet tables. Changes --- - Adding `ProjectionPushdown` optimization rule - Abstracting `LogicalOperatorSupportsProjectionPushdown`, etc interfaces to implement projection pushdown for various Read ops as well as `Datasource`s - Added tests for projection push-down ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD.bazel | 14 + .../datasource/parquet_datasource.py | 163 +++-- .../_internal/logical/interfaces/__init__.py | 3 +- .../logical/interfaces/logical_operator.py | 13 + .../_internal/logical/interfaces/operator.py | 12 +- .../logical/operators/read_operator.py | 25 +- .../ray/data/_internal/logical/optimizers.py | 2 + .../logical/rules/projection_pushdown.py | 312 ++++++++ python/ray/data/dataset.py | 5 +- python/ray/data/datasource/datasource.py | 18 +- python/ray/data/tests/test_map.py | 1 - python/ray/data/tests/test_parquet.py | 52 +- .../ray/data/tests/test_projection_fusion.py | 678 ++++++++++++++++++ 13 files changed, 1223 insertions(+), 75 deletions(-) create mode 100644 python/ray/data/_internal/logical/rules/projection_pushdown.py create mode 100644 python/ray/data/tests/test_projection_fusion.py diff --git a/python/ray/data/BUILD.bazel b/python/ray/data/BUILD.bazel index a3b44dadf21b..09cbbf8eb0f3 100644 --- a/python/ray/data/BUILD.bazel +++ b/python/ray/data/BUILD.bazel @@ -742,6 +742,20 @@ py_test( ], ) +py_test( + name = "test_projection_fusion", + size = "small", + srcs = ["tests/test_projection_fusion.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_path_util", size = "small", diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index ae66e7cab478..7afb171b9fd3 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -1,3 +1,4 @@ +import copy import logging import math import os @@ -55,7 +56,6 @@ if TYPE_CHECKING: import pyarrow - from pyarrow import parquet as pq from pyarrow.dataset import ParquetFileFragment @@ -249,18 +249,6 @@ def __init__( # it to a list pq_ds = get_parquet_dataset(list(paths), filesystem, dataset_kwargs) - # `read_schema` is the schema object that will be used to perform - # read operations. - # It should be None, unless user has specified the schema or columns. - # We don't use the inferred schema for read, because we infer the schema based - # on the first file. Thus, files with different schemas will end up producing - # blocks with wrong schema. - # See https://github.com/ray-project/ray/issues/47960 for more context. - read_schema = schema - inferred_schema = _infer_schema( - pq_ds, schema, columns, partitioning, _block_udf - ) - # Users can pass both data columns and partition columns in the 'columns' # argument. To prevent PyArrow from complaining about missing columns, we # separate the partition columns from the data columns. When we read the @@ -287,8 +275,11 @@ def __init__( self._to_batches_kwargs = to_batch_kwargs self._data_columns = data_columns self._partition_columns = partition_columns - self._read_schema = read_schema - self._inferred_schema = inferred_schema + self._read_schema = schema + self._file_schema = pq_ds.schema + self._partition_schema = _get_partition_columns_schema( + partitioning, self._pq_paths + ) self._file_metadata_shuffler = None self._include_paths = include_paths self._partitioning = partitioning @@ -332,6 +323,10 @@ def __init__( break def estimate_inmemory_data_size(self) -> int: + # In case of empty projections no data will be read + if self._data_columns == []: + return 0 + return self._estimate_in_mem_size(self._pq_fragments) def get_read_tasks(self, parallelism: int) -> List[ReadTask]: @@ -352,6 +347,15 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: self._pq_paths, ) + # Derive expected target schema of the blocks being read + target_schema = _derive_schema( + self._read_schema, + file_schema=self._file_schema, + partition_schema=self._partition_schema, + projected_columns=self.get_current_projection(), + _block_udf=self._block_udf, + ) + read_tasks = [] for fragments, paths in zip( np.array_split(pq_fragments, parallelism), @@ -401,7 +405,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: partitioning, ), meta, - schema=self._inferred_schema, + schema=target_schema, ) ) @@ -418,6 +422,22 @@ def get_name(self): def supports_distributed_reads(self) -> bool: return self._supports_distributed_reads + def supports_projection_pushdown(self) -> bool: + return True + + def get_current_projection(self) -> Optional[List[str]]: + # NOTE: In case there's no projection both file and partition columns + # will be none + if self._data_columns is None and self._partition_columns is None: + return None + + return (self._data_columns or []) + (self._partition_columns or []) + + def apply_projection(self, columns: List[str]) -> "ParquetDatasource": + clone = copy.copy(self) + clone._data_columns = columns + return clone + def _estimate_in_mem_size(self, fragments: List[_ParquetFragment]) -> int: in_mem_size = sum([f.file_size for f in fragments]) * self._encoding_ratio @@ -425,12 +445,12 @@ def _estimate_in_mem_size(self, fragments: List[_ParquetFragment]) -> int: def read_fragments( - block_udf, - to_batches_kwargs, - default_read_batch_size_rows, - data_columns, - partition_columns, - schema, + block_udf: Callable[[Block], Optional[Block]], + to_batches_kwargs: Dict[str, Any], + default_read_batch_size_rows: Optional[int], + data_columns: Optional[List[str]], + partition_columns: Optional[List[str]], + schema: Optional[Union[type, "pyarrow.lib.Schema"]], fragments: List[_ParquetFragment], include_paths: bool, partitioning: Partitioning, @@ -685,7 +705,7 @@ def _fetch_file_infos( schema: Optional["pyarrow.Schema"], local_scheduling: Optional[bool], ) -> List[Optional[_ParquetFileInfo]]: - fetc_file_info = cached_remote_fn(_fetch_parquet_file_info) + fetch_file_info = cached_remote_fn(_fetch_parquet_file_info) futures = [] for fragment in sampled_fragments: @@ -693,7 +713,7 @@ def _fetch_file_infos( # Use SPREAD scheduling strategy to avoid packing many sampling tasks on # same machine to cause OOM issue, as sampling can be memory-intensive. futures.append( - fetc_file_info.options( + fetch_file_info.options( scheduling_strategy=local_scheduling or DataContext.get_current().scheduling_strategy, # Retry in case of transient errors during sampling. @@ -793,10 +813,9 @@ def _add_partitions_to_table( return table -def _add_partition_fields_to_schema( +def _get_partition_columns_schema( partitioning: Partitioning, - schema: "pyarrow.Schema", - parquet_dataset: "pyarrow.dataset.Dataset", + file_paths: List[str], ) -> "pyarrow.Schema": """Return a new schema with partition fields added. @@ -804,28 +823,30 @@ def _add_partition_fields_to_schema( """ import pyarrow as pa - # If the dataset is empty, we can't infer the partitioning. - if len(parquet_dataset.fragments) == 0: - return schema + # If the dataset is empty, we can't infer the partitioning + if len(file_paths) == 0: + return pa.schema([]) + # If the dataset isn't partitioned, there's no partition schema + elif partitioning is None: + return pa.schema([]) + + first_path = file_paths[0] - # If the dataset isn't partitioned, we don't need to add any fields. - if partitioning is None: - return schema + fields = [] - first_path = parquet_dataset.fragments[0].path - parse = PathPartitionParser(partitioning) - partitions = parse(first_path) + parser = PathPartitionParser(partitioning) + partitions = parser(first_path) for field_name in partitions: if field_name in partitioning.field_types: field_type = pa.from_numpy_dtype(partitioning.field_types[field_name]) else: field_type = pa.string() - if field_name not in schema.names: - # Without this check, we would add the same partition field multiple times, - # which silently fails when asking for `pa.field()`. - schema = schema.append(pa.field(field_name, field_type)) - return schema + # Without this check, we would add the same partition field multiple times, + # which silently fails when asking for `pa.field()`. + fields.append(pa.field(field_name, field_type)) + + return pa.schema(fields) def emit_file_extensions_future_warning(future_file_extensions: List[str]): @@ -838,36 +859,55 @@ def emit_file_extensions_future_warning(future_file_extensions: List[str]): ) -def _infer_schema( - parquet_dataset: "pq.ParquetDataset", - schema: "pyarrow.Schema", - columns: Optional[List[str]], - partitioning, +def _derive_schema( + read_schema: Optional["pyarrow.Schema"], + *, + file_schema: "pyarrow.Schema", + partition_schema: Optional["pyarrow.Schema"], + projected_columns: Optional[List[str]], _block_udf, ) -> "pyarrow.Schema": - """Infer the schema of read data using the user-specified parameters.""" + """Derives target schema for read operation""" + import pyarrow as pa - inferred_schema = schema + # Use target read schema if provided + if read_schema is not None: + target_schema = read_schema + else: + file_schema_fields = list(file_schema) + partition_schema_fields = ( + list(partition_schema) if partition_schema is not None else [] + ) - if schema is None: - inferred_schema = parquet_dataset.schema - inferred_schema = _add_partition_fields_to_schema( - partitioning, inferred_schema, parquet_dataset + # Otherwise, fallback to file + partitioning schema by default + target_schema = pa.schema( + fields=( + file_schema_fields + + [ + f + for f in partition_schema_fields + # Ignore fields from partition schema overlapping with + # file's schema + if file_schema.get_field_index(f.name) == -1 + ] + ), + metadata=file_schema.metadata, ) - if columns is not None: - inferred_schema = pa.schema( - [inferred_schema.field(column) for column in columns], - inferred_schema.metadata, + # Project schema if necessary + if projected_columns is not None: + target_schema = pa.schema( + [target_schema.field(column) for column in projected_columns], + target_schema.metadata, ) if _block_udf is not None: # Try to infer dataset schema by passing dummy table through UDF. - dummy_table = inferred_schema.empty_table() + dummy_table = target_schema.empty_table() try: - inferred_schema = _block_udf(dummy_table).schema.with_metadata( - inferred_schema.metadata + target_schema = _block_udf(dummy_table).schema.with_metadata( + target_schema.metadata ) except Exception: logger.debug( @@ -876,8 +916,9 @@ def _infer_schema( exc_info=True, ) - check_for_legacy_tensor_type(inferred_schema) - return inferred_schema + check_for_legacy_tensor_type(target_schema) + + return target_schema def _infer_data_and_partition_columns( diff --git a/python/ray/data/_internal/logical/interfaces/__init__.py b/python/ray/data/_internal/logical/interfaces/__init__.py index 1e6e84d908bd..8ec39d6454ea 100644 --- a/python/ray/data/_internal/logical/interfaces/__init__.py +++ b/python/ray/data/_internal/logical/interfaces/__init__.py @@ -1,4 +1,4 @@ -from .logical_operator import LogicalOperator +from .logical_operator import LogicalOperator, LogicalOperatorSupportsProjectionPushdown from .logical_plan import LogicalPlan from .operator import Operator from .optimizer import Optimizer, Rule @@ -15,4 +15,5 @@ "Plan", "Rule", "SourceOperator", + "LogicalOperatorSupportsProjectionPushdown", ] diff --git a/python/ray/data/_internal/logical/interfaces/logical_operator.py b/python/ray/data/_internal/logical/interfaces/logical_operator.py index 27c39840af1d..0afd1e7e1dc6 100644 --- a/python/ray/data/_internal/logical/interfaces/logical_operator.py +++ b/python/ray/data/_internal/logical/interfaces/logical_operator.py @@ -86,3 +86,16 @@ def is_lineage_serializable(self) -> bool: objects aren't available on the deserialized machine. """ return True + + +class LogicalOperatorSupportsProjectionPushdown(LogicalOperator): + """Mixin for reading operators supporting projection pushdown""" + + def supports_projection_pushdown(self) -> bool: + return False + + def get_current_projection(self) -> Optional[List[str]]: + return None + + def apply_projection(self, columns: Optional[List[str]]) -> LogicalOperator: + return self diff --git a/python/ray/data/_internal/logical/interfaces/operator.py b/python/ray/data/_internal/logical/interfaces/operator.py index 09bf09acab87..29557f14339e 100644 --- a/python/ray/data/_internal/logical/interfaces/operator.py +++ b/python/ray/data/_internal/logical/interfaces/operator.py @@ -1,3 +1,4 @@ +import copy from typing import Callable, Iterator, List @@ -76,12 +77,17 @@ def _apply_transform( new_ops.append(transformed_input_op) if new_ops: + # Make a shallow copy to avoid modifying operators in-place + target = copy.copy(self) + # NOTE: Only newly created ops need to have output deps # wired in - self._wire_output_deps(new_ops) - self._input_dependencies = transformed_input_ops + target._wire_output_deps(new_ops) + target._input_dependencies = transformed_input_ops + else: + target = self - return transform(self) + return transform(target) def _wire_output_deps(self, input_dependencies: List["Operator"]): for x in input_dependencies: diff --git a/python/ray/data/_internal/logical/operators/read_operator.py b/python/ray/data/_internal/logical/operators/read_operator.py index aef39c554d23..4a6cd2cc6423 100644 --- a/python/ray/data/_internal/logical/operators/read_operator.py +++ b/python/ray/data/_internal/logical/operators/read_operator.py @@ -1,7 +1,11 @@ +import copy import functools -from typing import Any, Dict, Optional, Union +from typing import Any, Dict, List, Optional, Union -from ray.data._internal.logical.interfaces import SourceOperator +from ray.data._internal.logical.interfaces import ( + LogicalOperatorSupportsProjectionPushdown, + SourceOperator, +) from ray.data._internal.logical.operators.map_operator import AbstractMap from ray.data.block import ( BlockMetadata, @@ -10,7 +14,7 @@ from ray.data.datasource.datasource import Datasource, Reader -class Read(AbstractMap, SourceOperator): +class Read(AbstractMap, SourceOperator, LogicalOperatorSupportsProjectionPushdown): """Logical operator for read.""" def __init__( @@ -111,6 +115,21 @@ def _cached_output_metadata(self) -> "BlockMetadataWithSchema": schema = unify_schemas_with_validation(schemas) return BlockMetadataWithSchema(metadata=meta, schema=schema) + def supports_projection_pushdown(self) -> bool: + return self._datasource.supports_projection_pushdown() + + def get_current_projection(self) -> Optional[List[str]]: + return self._datasource.get_current_projection() + + def apply_projection(self, columns: List[str]): + clone = copy.copy(self) + + projected_datasource = self._datasource.apply_projection(columns) + clone._datasource = projected_datasource + clone._datasource_or_legacy_reader = projected_datasource + + return clone + def can_modify_num_rows(self) -> bool: # NOTE: Returns true, since most of the readers expands its input # and produce many rows for every single row of the input diff --git a/python/ray/data/_internal/logical/optimizers.py b/python/ray/data/_internal/logical/optimizers.py index 54afc9dd93f2..f91923c6706f 100644 --- a/python/ray/data/_internal/logical/optimizers.py +++ b/python/ray/data/_internal/logical/optimizers.py @@ -16,6 +16,7 @@ ) from ray.data._internal.logical.rules.limit_pushdown import LimitPushdownRule from ray.data._internal.logical.rules.operator_fusion import FuseOperators +from ray.data._internal.logical.rules.projection_pushdown import ProjectionPushdown from ray.data._internal.logical.rules.set_read_parallelism import SetReadParallelismRule from ray.data._internal.logical.rules.zero_copy_map_fusion import ( EliminateBuildOutputBlocks, @@ -26,6 +27,7 @@ [ InheritBatchFormatRule, LimitPushdownRule, + ProjectionPushdown, ] ) diff --git a/python/ray/data/_internal/logical/rules/projection_pushdown.py b/python/ray/data/_internal/logical/rules/projection_pushdown.py new file mode 100644 index 000000000000..df6a4ab6905d --- /dev/null +++ b/python/ray/data/_internal/logical/rules/projection_pushdown.py @@ -0,0 +1,312 @@ +import logging +from dataclasses import dataclass +from typing import Dict, List, Optional, Union + +from ray.data._internal.logical.interfaces import ( + LogicalOperator, + LogicalOperatorSupportsProjectionPushdown, + LogicalPlan, + Rule, +) +from ray.data._internal.logical.operators.map_operator import Project +from ray.data._internal.logical.operators.read_operator import Read +from ray.data.expressions import Expr + +logger = logging.getLogger(__name__) + + +@dataclass(frozen=True) +class _ProjectSpec: + cols: Optional[List[str]] + cols_remap: Optional[Dict[str, str]] + exprs: Optional[Dict[str, Expr]] + + +class ProjectionPushdown(Rule): + """Optimization rule that pushes down projections across the graph. + + This rule looks for `Project` operators that are immediately + preceded by a `Read` operator and sets the + projected columns on the `Read` operator. + + If there are redundant Project operators, it removes the `Project` operator from + the graph. + """ + + def apply(self, plan: LogicalPlan) -> LogicalPlan: + dag = plan.dag + new_dag = dag._apply_transform(self._pushdown_project) + + return LogicalPlan(new_dag, plan.context) if dag is not new_dag else plan + + @classmethod + def _pushdown_project(cls, op: LogicalOperator) -> LogicalOperator: + if isinstance(op, Project): + # Push-down projections into read op + if cls._supports_projection_pushdown(op): + project_op: Project = op + target_op: LogicalOperatorSupportsProjectionPushdown = ( + op.input_dependency + ) + + return cls._try_combine(target_op, project_op) + + # Otherwise, fuse projections into a single op + elif isinstance(op.input_dependency, Project): + outer_op: Project = op + inner_op: Project = op.input_dependency + + return cls._fuse(inner_op, outer_op) + + return op + + @classmethod + def _supports_projection_pushdown(cls, op: Project) -> bool: + # NOTE: Currently only projecting into Parquet is supported + input_op = op.input_dependency + return ( + isinstance(input_op, LogicalOperatorSupportsProjectionPushdown) + and input_op.supports_projection_pushdown() + ) + + @staticmethod + def _fuse(inner_op: Project, outer_op: Project) -> Project: + # Combine expressions from both operators + combined_exprs = _combine_expressions(inner_op.exprs, outer_op.exprs) + + # Only combine projection specs if there are no expressions + # When expressions are present, they take precedence + if combined_exprs: + # When expressions are present, preserve column operations from outer operation + # The logical order is: expressions first, then column operations + outer_cols = outer_op.cols + outer_cols_rename = outer_op.cols_rename + + # If outer operation has no column operations, fall back to inner operation + if outer_cols is None and outer_cols_rename is None: + outer_cols = inner_op.cols + outer_cols_rename = inner_op.cols_rename + + return Project( + inner_op.input_dependency, + cols=outer_cols, + cols_rename=outer_cols_rename, + exprs=combined_exprs, + # Give precedence to outer operator's ray_remote_args + ray_remote_args={ + **inner_op._ray_remote_args, + **outer_op._ray_remote_args, + }, + ) + else: + # Fall back to original behavior for column-only projections + inner_op_spec = _get_projection_spec(inner_op) + outer_op_spec = _get_projection_spec(outer_op) + + new_spec = _combine_projection_specs( + prev_spec=inner_op_spec, new_spec=outer_op_spec + ) + + return Project( + inner_op.input_dependency, + cols=new_spec.cols, + cols_rename=new_spec.cols_remap, + exprs=None, + ray_remote_args={ + **inner_op._ray_remote_args, + **outer_op._ray_remote_args, + }, + ) + + @staticmethod + def _try_combine( + target_op: LogicalOperatorSupportsProjectionPushdown, + project_op: Project, + ) -> LogicalOperator: + # For now, don't push down expressions into `Read` operators + # Only handle traditional column projections + if project_op.exprs: + # Cannot push expressions into `Read`, return unchanged + return project_op + + target_op_spec = _get_projection_spec(target_op) + project_op_spec = _get_projection_spec(project_op) + + new_spec = _combine_projection_specs( + prev_spec=target_op_spec, new_spec=project_op_spec + ) + + logger.debug( + f"Pushing projection down into read operation " + f"projection columns = {new_spec.cols} (before: {target_op_spec.cols}), " + f"remap = {new_spec.cols_remap} (before: {target_op_spec.cols_remap})" + ) + + return target_op.apply_projection(new_spec.cols) + + +def _combine_expressions( + inner_exprs: Optional[Dict[str, Expr]], outer_exprs: Optional[Dict[str, Expr]] +) -> Optional[Dict[str, Expr]]: + """Combine expressions from two Project operators. + + Args: + inner_exprs: Expressions from the inner (upstream) Project operator + outer_exprs: Expressions from the outer (downstream) Project operator + + Returns: + Combined dictionary of expressions, or None if no expressions + """ + if not inner_exprs and not outer_exprs: + return None + + combined = {} + + # Add expressions from inner operator + if inner_exprs: + combined.update(inner_exprs) + + # Add expressions from outer operator + if outer_exprs: + combined.update(outer_exprs) + + return combined if combined else None + + +def _get_projection_spec(op: Union[Project, Read]) -> _ProjectSpec: + assert op is not None + + if isinstance(op, Project): + return _ProjectSpec( + cols=op.cols, + cols_remap=op.cols_rename, + exprs=op.exprs, + ) + elif isinstance(op, Read): + assert op.supports_projection_pushdown() + + return _ProjectSpec( + cols=op.get_current_projection(), + cols_remap=None, + exprs=None, + ) + else: + raise ValueError( + f"Operation doesn't have projection spec (supported Project, " + f"Read, got: {op.__class__})" + ) + + +def _combine_projection_specs( + prev_spec: _ProjectSpec, new_spec: _ProjectSpec +) -> _ProjectSpec: + combined_cols_remap = _combine_columns_remap( + prev_spec.cols_remap, + new_spec.cols_remap, + ) + + # Validate resulting remapping against existing projection (if any) + _validate(combined_cols_remap, prev_spec.cols) + + new_projection_cols: Optional[List[str]] + + if prev_spec.cols is None and new_spec.cols is None: + # If both projections are unset, resulting is unset + new_projection_cols = None + elif prev_spec.cols is not None and new_spec.cols is None: + # If previous projection is set, but the new unset -- fallback to + # existing projection + new_projection_cols = prev_spec.cols + else: + # If new is set (and previous is either set or not) + # - Reconcile new projection + # - Project combined column remapping + assert new_spec.cols is not None + + new_projection_cols = new_spec.cols + + # Remap new projected columns into the schema before remapping (from the + # previous spec) + if prev_spec.cols_remap and new_projection_cols: + # Inverse remapping + inv_cols_remap = {v: k for k, v in prev_spec.cols_remap.items()} + new_projection_cols = [ + inv_cols_remap.get(col, col) for col in new_projection_cols + ] + + prev_cols_set = set(prev_spec.cols or []) + new_cols_set = set(new_projection_cols or []) + + # Validate new projection is a proper subset of the previous one + if prev_cols_set and new_cols_set and not new_cols_set.issubset(prev_cols_set): + raise ValueError( + f"Selected columns '{new_cols_set}' needs to be a subset of " + f"'{prev_cols_set}'" + ) + + # Project remaps to only map relevant columns + if new_projection_cols is not None and combined_cols_remap is not None: + projected_cols_remap = { + k: v for k, v in combined_cols_remap.items() if k in new_projection_cols + } + else: + projected_cols_remap = combined_cols_remap + + # Combine expressions from both specs + combined_exprs = _combine_expressions(prev_spec.exprs, new_spec.exprs) + + return _ProjectSpec( + cols=new_projection_cols, cols_remap=projected_cols_remap, exprs=combined_exprs + ) + + +def _combine_columns_remap( + prev_remap: Optional[Dict[str, str]], new_remap: Optional[Dict[str, str]] +) -> Optional[Dict[str, str]]: + + if not new_remap and not prev_remap: + return None + + new_remap = new_remap or {} + base_remap = prev_remap or {} + + filtered_new_remap = dict(new_remap) + # Apply new remapping to the base remap + updated_base_remap = { + # NOTE: We're removing corresponding chained mapping from the remap + k: filtered_new_remap.pop(v, v) + for k, v in base_remap.items() + } + + resolved_remap = dict(updated_base_remap) + resolved_remap.update(filtered_new_remap) + + return resolved_remap + + +def _validate(remap: Optional[Dict[str, str]], projection_cols: Optional[List[str]]): + if not remap: + return + + # Verify that the remapping is a proper bijection (ie no + # columns are renamed into the same new name) + prev_names_map = {} + for prev_name, new_name in remap.items(): + if new_name in prev_names_map: + raise ValueError( + f"Identified projections with conflict in renaming: '{new_name}' " + f"is mapped from multiple sources: '{prev_names_map[new_name]}' " + f"and '{prev_name}'." + ) + + prev_names_map[new_name] = prev_name + + # Verify that remapping only references columns available in the projection + if projection_cols is not None: + invalid_cols = [key for key in remap.keys() if key not in projection_cols] + + if invalid_cols: + raise ValueError( + f"Identified projections with invalid rename " + f"columns: {', '.join(invalid_cols)}" + ) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 59391f36ce3f..9c792eeb95ec 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -1093,9 +1093,6 @@ def select_columns( "select_columns requires 'cols' to be a string or a list of strings." ) - if not cols: - raise ValueError("select_columns requires at least one column to select.") - if len(cols) != len(set(cols)): raise ValueError( "select_columns expected unique column names, " @@ -3406,7 +3403,7 @@ def count(self) -> int: plan = self._plan.copy() - # NOTE: Project the dataset to avoid the need to carrying actual + # NOTE: Project the dataset to avoid the need to carry actual # data when we're only interested in the total count count_op = Count(Project(self._logical_plan.dag, cols=[])) logical_plan = LogicalPlan(count_op, self.context) diff --git a/python/ray/data/datasource/datasource.py b/python/ray/data/datasource/datasource.py index 26d2fe0725ed..cba5f088987d 100644 --- a/python/ray/data/datasource/datasource.py +++ b/python/ray/data/datasource/datasource.py @@ -7,8 +7,24 @@ from ray.util.annotations import Deprecated, DeveloperAPI, PublicAPI +class _DatasourceProjectionPushdownMixin: + """Mixin for reading operators supporting projection pushdown""" + + def supports_projection_pushdown(self) -> bool: + """Returns ``True`` in case ``Datasource`` supports projection operation + being pushed down into the reading layer""" + return False + + def get_current_projection(self) -> Optional[List[str]]: + """Retrurns current projection""" + return None + + def apply_projection(self, columns: List[str]) -> "Datasource": + return self + + @PublicAPI -class Datasource: +class Datasource(_DatasourceProjectionPushdownMixin): """Interface for defining a custom :class:`~ray.data.Dataset` datasource. To read a datasource into a dataset, use :meth:`~ray.data.read_datasource`. diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 439d8d991170..ce3aac653edf 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -880,7 +880,6 @@ def test_select_columns( @pytest.mark.parametrize( "cols, expected_exception, expected_error", [ - ([], ValueError, "select_columns requires at least one column to select"), ( None, TypeError, diff --git a/python/ray/data/tests/test_parquet.py b/python/ray/data/tests/test_parquet.py index 59de820688c8..3e3047691cd2 100644 --- a/python/ray/data/tests/test_parquet.py +++ b/python/ray/data/tests/test_parquet.py @@ -601,7 +601,45 @@ def test_parquet_read_partitioned_explicit( ] -def test_proper_projection_for_partitioned_datasets(temp_dir): +def test_projection_pushdown_non_partitioned(ray_start_regular_shared, temp_dir): + path = "example://iris.parquet" + + # Test projection from read_parquet + ds = ray.data.read_parquet(path, columns=["variety"]) + + schema = ds.schema() + + assert ["variety"] == schema.base_schema.names + assert ds.count() == 150 + + # Test projection pushed down into read op + ds = ray.data.read_parquet(path).select_columns("variety") + + assert ds._plan.explain().strip() == ( + "-------- Logical Plan --------\n" + "Project\n" + "+- ReadParquet\n" + "-------- Physical Plan --------\n" + "TaskPoolMapOperator[ReadParquet]\n" + "+- InputDataBuffer[Input]" + ) + + # Assert schema being appropriately projected + schema = ds.schema() + assert ["variety"] == schema.base_schema.names + + assert ds.count() == 150 + + # Assert empty projection is reading no data + ds = ray.data.read_parquet(path).select_columns([]) + + summary = ds.materialize()._plan.stats().to_summary() + + assert "ReadParquet" in summary.base_name + assert summary.extra_metrics["bytes_task_outputs_generated"] == 0 + + +def test_projection_pushdown_partitioned(ray_start_regular_shared, temp_dir): ds = ray.data.read_parquet("example://iris.parquet").materialize() partitioned_ds_path = f"{temp_dir}/partitioned_iris" @@ -627,6 +665,18 @@ def test_proper_projection_for_partitioned_datasets(temp_dir): assert ds.count() == partitioned_ds.count() +def test_projection_pushdown_on_count(ray_start_regular_shared, temp_dir): + path = "example://iris.parquet" + + # Test reading full dataset + # ds = ray.data.read_parquet(path).materialize() + + # Test projection from read_parquet + num_rows = ray.data.read_parquet(path).count() + + assert num_rows == 150 + + def test_parquet_read_with_udf( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): diff --git a/python/ray/data/tests/test_projection_fusion.py b/python/ray/data/tests/test_projection_fusion.py new file mode 100644 index 000000000000..9855e93e31ab --- /dev/null +++ b/python/ray/data/tests/test_projection_fusion.py @@ -0,0 +1,678 @@ +from dataclasses import dataclass +from typing import Dict, List, Set + +import pandas as pd +import pyarrow as pa +import pyarrow.compute as pc +import pytest + +import ray +from ray.data._internal.logical.interfaces import LogicalPlan +from ray.data._internal.logical.operators.input_data_operator import InputData +from ray.data._internal.logical.operators.map_operator import Project +from ray.data._internal.logical.rules.projection_pushdown import ( + ProjectionPushdown, +) +from ray.data.context import DataContext +from ray.data.expressions import DataType, col, udf + + +@dataclass +class FusionTestCase: + """Test case for projection fusion scenarios.""" + + name: str + expressions_list: List[Dict[str, str]] # List of {name: expression_desc} + expected_levels: int + expected_level_contents: List[Set[str]] # Expected expressions in each level + description: str + + +@dataclass +class DependencyTestCase: + """Test case for dependency analysis.""" + + name: str + expression_desc: str + expected_refs: Set[str] + description: str + + +class TestPorjectionFusion: + """Test topological sorting in projection pushdown fusion.""" + + @pytest.fixture(autouse=True) + def setup(self): + """Set up test fixtures.""" + self.context = DataContext.get_current() + + # Create UDFs for testing + @udf(return_dtype=DataType.int64()) + def multiply_by_two(x: pa.Array) -> pa.Array: + return pc.multiply(x, 2) + + @udf(return_dtype=DataType.int64()) + def add_one(x: pa.Array) -> pa.Array: + return pc.add(x, 1) + + @udf(return_dtype=DataType.float64()) + def divide_by_three(x: pa.Array) -> pa.Array: + # Convert to float to ensure floating point division + return pc.divide(pc.cast(x, pa.float64()), 3.0) + + self.udfs = { + "multiply_by_two": multiply_by_two, + "add_one": add_one, + "divide_by_three": divide_by_three, + } + + def _create_input_op(self): + """Create a dummy input operator.""" + return InputData(input_data=[]) + + def _parse_expression(self, expr_desc: str): + """Parse expression description into actual expression object.""" + # Enhanced parser for test expressions + expr_map = { + "col('id')": col("id"), + "col('id') + 10": col("id") + 10, + "col('id') * 2": col("id") * 2, + "col('id') - 5": col("id") - 5, + "col('id') + 1": col("id") + 1, + "col('id') - 1": col("id") - 1, + "col('id') - 3": col("id") - 3, + "col('step1') * 2": col("step1") * 2, + "col('step2') + 1": col("step2") + 1, + "col('a') + col('b')": col("a") + col("b"), + "col('c') + col('d')": col("c") + col("d"), + "col('e') * 3": col("e") * 3, + "col('a') + 1": col("a") + 1, + "multiply_by_two(col('id'))": self.udfs["multiply_by_two"](col("id")), + "multiply_by_two(col('id')) + col('plus_ten')": ( + self.udfs["multiply_by_two"](col("id")) + col("plus_ten") + ), + "col('times_three') > col('plus_ten')": ( + col("times_three") > col("plus_ten") + ), + "multiply_by_two(col('x'))": self.udfs["multiply_by_two"](col("x")), + "add_one(col('id'))": self.udfs["add_one"](col("id")), + "multiply_by_two(col('plus_one'))": self.udfs["multiply_by_two"]( + col("plus_one") + ), + "divide_by_three(col('times_two'))": self.udfs["divide_by_three"]( + col("times_two") + ), + } + + if expr_desc in expr_map: + return expr_map[expr_desc] + else: + raise ValueError(f"Unknown expression: {expr_desc}") + + def _create_project_chain(self, input_op, expressions_list: List[Dict[str, str]]): + """Create a chain of Project operators from expression descriptions.""" + current_op = input_op + + for expr_dict in expressions_list: + exprs = { + name: self._parse_expression(desc) for name, desc in expr_dict.items() + } + current_op = Project( + current_op, cols=None, cols_rename=None, exprs=exprs, ray_remote_args={} + ) + + return current_op + + def _extract_levels_from_plan(self, plan: LogicalPlan) -> List[Set[str]]: + """Extract expression levels from optimized plan.""" + current = plan.dag + levels = [] + + while isinstance(current, Project): + if current.exprs: + levels.append(set(current.exprs.keys())) + current = current.input_dependency + + return list(reversed(levels)) # Return bottom-up order + + def _count_project_operators(self, plan: LogicalPlan) -> int: + """Count the number of Project operators in the plan.""" + current = plan.dag + count = 0 + + while current: + if isinstance(current, Project): + count += 1 + current = getattr(current, "input_dependency", None) + + return count + + def _describe_plan_structure(self, plan: LogicalPlan) -> str: + """Generate a description of the plan structure.""" + current = plan.dag + operators = [] + + while current: + if isinstance(current, Project): + expr_count = len(current.exprs) if current.exprs else 0 + operators.append(f"Project({expr_count} exprs)") + else: + operators.append(current.__class__.__name__) + current = getattr(current, "input_dependency", None) + + return " -> ".join(operators) + + @pytest.mark.parametrize( + "test_case", + [ + FusionTestCase( + name="no_dependencies", + expressions_list=[ + {"doubled": "col('id') * 2", "plus_five": "col('id') + 10"}, + {"minus_three": "col('id') - 3"}, + ], + expected_levels=1, + expected_level_contents=[{"doubled", "plus_five", "minus_three"}], + description="Independent expressions should fuse into single operator", + ), + FusionTestCase( + name="simple_chain", + expressions_list=[ + {"step1": "col('id') + 10"}, + {"step2": "col('step1') * 2"}, + {"step3": "col('step2') + 1"}, + ], + expected_levels=1, + expected_level_contents=[ + {"step1", "step2", "step3"} + ], # All in one level + description="All expressions fuse into single operator with OrderedDict preservation", + ), + FusionTestCase( + name="mixed_udf_regular", + expressions_list=[ + {"plus_ten": "col('id') + 10"}, + {"times_three": "multiply_by_two(col('id'))"}, + {"minus_five": "col('id') - 5"}, + { + "udf_plus_regular": "multiply_by_two(col('id')) + col('plus_ten')" + }, + {"comparison": "col('times_three') > col('plus_ten')"}, + ], + expected_levels=1, + expected_level_contents=[ + { + "plus_ten", + "times_three", + "minus_five", + "udf_plus_regular", + "comparison", + } + ], + description="All expressions fuse into single operator", + ), + FusionTestCase( + name="complex_graph", + expressions_list=[ + {"a": "col('id') + 1", "b": "col('id') * 2"}, + {"c": "col('a') + col('b')"}, + {"d": "col('id') - 1"}, + {"e": "col('c') + col('d')"}, + {"f": "col('e') * 3"}, + ], + expected_levels=1, + expected_level_contents=[{"a", "b", "c", "d", "e", "f"}], + description="All expressions fuse into single operator", + ), + FusionTestCase( + name="udf_dependency_chain", + expressions_list=[ + {"plus_one": "add_one(col('id'))"}, + {"times_two": "multiply_by_two(col('plus_one'))"}, + {"div_three": "divide_by_three(col('times_two'))"}, + ], + expected_levels=1, # Changed from 3 to 1 + expected_level_contents=[{"plus_one", "times_two", "div_three"}], + description="All UDF expressions fuse into single operator with preserved order", + ), + ], + ) + def test_fusion_scenarios(self, test_case: FusionTestCase): + """Test various fusion scenarios with simplified single-operator fusion.""" + input_op = self._create_input_op() + final_op = self._create_project_chain(input_op, test_case.expressions_list) + + # Apply projection pushdown + plan = LogicalPlan(final_op, self.context) + rule = ProjectionPushdown() + optimized_plan = rule.apply(plan) + + # Extract levels from optimized plan + actual_levels = self._extract_levels_from_plan(optimized_plan) + + # Verify number of levels + assert len(actual_levels) == test_case.expected_levels, ( + f"{test_case.name}: Expected {test_case.expected_levels} operators, " + f"got {len(actual_levels)}. Actual operators: {actual_levels}" + ) + + # Verify level contents (more flexible matching) + for i, expected_content in enumerate(test_case.expected_level_contents): + assert expected_content.issubset(actual_levels[i]), ( + f"{test_case.name}: Operator {i} missing expressions. " + f"Expected {expected_content} to be subset of {actual_levels[i]}" + ) + + def test_pairwise_fusion_behavior(self): + """Test to understand how pairwise fusion works in practice.""" + input_data = [{"id": i} for i in range(10)] + + # Test with 2 operations (should fuse to 1) + ds2 = ray.data.from_items(input_data) + ds2 = ds2.with_column("col1", col("id") + 1) + ds2 = ds2.with_column("col2", col("id") * 2) + + count2 = self._count_project_operators(ds2._logical_plan) + print(f"2 operations -> {count2} operators") + + # Test with 3 operations + ds3 = ray.data.from_items(input_data) + ds3 = ds3.with_column("col1", col("id") + 1) + ds3 = ds3.with_column("col2", col("id") * 2) + ds3 = ds3.with_column("col3", col("id") - 1) + + count3 = self._count_project_operators(ds3._logical_plan) + print(f"3 operations -> {count3} operators") + + # Test with 4 operations + ds4 = ray.data.from_items(input_data) + ds4 = ds4.with_column("col1", col("id") + 1) + ds4 = ds4.with_column("col2", col("id") * 2) + ds4 = ds4.with_column("col3", col("id") - 1) + ds4 = ds4.with_column("col4", col("id") + 5) + + count4 = self._count_project_operators(ds4._logical_plan) + print(f"4 operations -> {count4} operators") + + # Verify that fusion is happening (fewer operators than original) + assert count2 <= 2, f"2 operations should result in ≤2 operators, got {count2}" + assert count3 <= 3, f"3 operations should result in ≤3 operators, got {count3}" + assert count4 <= 4, f"4 operations should result in ≤4 operators, got {count4}" + + # Verify correctness + result2 = ds2.take(1)[0] + result3 = ds3.take(1)[0] + result4 = ds4.take(1)[0] + + assert result2 == {"id": 0, "col1": 1, "col2": 0} + assert result3 == {"id": 0, "col1": 1, "col2": 0, "col3": -1} + assert result4 == {"id": 0, "col1": 1, "col2": 0, "col3": -1, "col4": 5} + + def test_optimal_fusion_with_single_chain(self): + """Test fusion when all operations are added in a single chain (ideal case).""" + input_data = [{"id": i} for i in range(10)] + + # Create a single Project operator with multiple expressions + # This simulates what would happen with perfect fusion + ds = ray.data.from_items(input_data) + + # Apply multiple operations that should all be independent + expressions = { + "col1": col("id") + 1, + "col2": col("id") * 2, + "col3": col("id") - 1, + "col4": col("id") + 5, + "col5": col("id") * 3, + } + + # Use map_batches to create a single operation that does everything + def apply_all_expressions(batch): + import pyarrow.compute as pc + + result = batch.to_pydict() + result["col1"] = pc.add(batch["id"], 1) + result["col2"] = pc.multiply(batch["id"], 2) + result["col3"] = pc.subtract(batch["id"], 1) + result["col4"] = pc.add(batch["id"], 5) + result["col5"] = pc.multiply(batch["id"], 3) + return pa.table(result) + + ds_optimal = ds.map_batches(apply_all_expressions, batch_format="pyarrow") + + # Compare with the with_column approach + ds_with_column = ds + for col_name, expr in expressions.items(): + ds_with_column = ds_with_column.with_column(col_name, expr) + + # Convert both to pandas for reliable comparison (avoids take() ordering issues) + result_optimal_df = ( + ds_optimal.to_pandas().sort_values("id").reset_index(drop=True) + ) + result_with_column_df = ( + ds_with_column.to_pandas().sort_values("id").reset_index(drop=True) + ) + + # Compare using pandas testing + pd.testing.assert_frame_equal( + result_optimal_df.sort_index(axis=1), + result_with_column_df.sort_index(axis=1), + check_dtype=False, + ) + + def test_basic_fusion_works(self): + """Test that basic fusion of two independent operations works.""" + input_data = [{"id": i} for i in range(5)] + + # Create dataset with two independent operations + ds = ray.data.from_items(input_data) + ds = ds.with_column("doubled", col("id") * 2) + ds = ds.with_column("plus_one", col("id") + 1) + + # Check before optimization + original_count = self._count_project_operators(ds._logical_plan) + print(f"Before optimization: {original_count} operators") + + # Apply optimization + rule = ProjectionPushdown() + optimized_plan = rule.apply(ds._logical_plan) + + # Check after optimization + optimized_count = self._count_project_operators(optimized_plan) + print(f"After optimization: {optimized_count} operators") + + # Two independent operations should fuse into one + assert ( + optimized_count == 1 + ), f"Two independent operations should fuse to 1 operator, got {optimized_count}" + + # Verify correctness using pandas comparison + from ray.data.dataset import Dataset + + optimized_ds = Dataset(ds._plan, optimized_plan) + + try: + result_df = optimized_ds.to_pandas() + print(f"Result: {result_df}") + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "doubled": [0, 2, 4, 6, 8], + "plus_one": [1, 2, 3, 4, 5], + } + ) + print(f"Expected: {expected_df}") + + # Sort columns for comparison + result_sorted = result_df.reindex(sorted(result_df.columns), axis=1) + expected_sorted = expected_df.reindex(sorted(expected_df.columns), axis=1) + + pd.testing.assert_frame_equal( + result_sorted, + expected_sorted, + check_dtype=False, + check_index_type=False, + ) + + except Exception as e: + print(f"Error in basic fusion test: {e}") + # Fallback verification + result_list = optimized_ds.take_all() + print(f"Result as list: {result_list}") + + expected_list = [ + {"id": 0, "doubled": 0, "plus_one": 1}, + {"id": 1, "doubled": 2, "plus_one": 2}, + {"id": 2, "doubled": 4, "plus_one": 3}, + {"id": 3, "doubled": 6, "plus_one": 4}, + {"id": 4, "doubled": 8, "plus_one": 5}, + ] + + assert len(result_list) == len(expected_list) + for actual, expected in zip(result_list, expected_list): + for key, expected_val in expected.items(): + assert ( + actual[key] == expected_val + ), f"Mismatch for key {key}: expected {expected_val}, got {actual[key]}" + + def test_dependency_prevents_fusion(self): + """Test that dependencies are handled in single operator with OrderedDict.""" + input_data = [{"id": i} for i in range(5)] + + # Create dataset with dependency chain + ds = ray.data.from_items(input_data) + ds = ds.with_column("doubled", col("id") * 2) + ds = ds.with_column( + "doubled_plus_one", col("doubled") + 1 + ) # Depends on doubled + + # Check before optimization + original_count = self._count_project_operators(ds._logical_plan) + print(f"Before optimization: {original_count} operators") + + # Apply optimization + rule = ProjectionPushdown() + optimized_plan = rule.apply(ds._logical_plan) + + # Check after optimization + optimized_count = self._count_project_operators(optimized_plan) + print(f"After optimization: {optimized_count} operators") + + # Should have 1 operator now (changed from 2) + assert ( + optimized_count == 1 + ), f"All operations should fuse into 1 operator, got {optimized_count}" + + # Verify correctness using pandas comparison + from ray.data.dataset import Dataset + + optimized_ds = Dataset(ds._plan, optimized_plan) + result_df = optimized_ds.to_pandas() + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "doubled": [0, 2, 4, 6, 8], + "doubled_plus_one": [1, 3, 5, 7, 9], + } + ) + + pd.testing.assert_frame_equal( + result_df.sort_index(axis=1), + expected_df.sort_index(axis=1), + check_dtype=False, + ) + + def test_mixed_udf_regular_end_to_end(self): + """Test the exact failing scenario from the original issue.""" + input_data = [{"id": i} for i in range(5)] + + # Create dataset with mixed UDF and regular expressions (the failing test case) + ds = ray.data.from_items(input_data) + ds = ds.with_column("plus_ten", col("id") + 10) + ds = ds.with_column( + "times_three", self.udfs["multiply_by_two"](col("id")) + ) # Actually multiply by 2 + ds = ds.with_column("minus_five", col("id") - 5) + ds = ds.with_column( + "udf_plus_regular", + self.udfs["multiply_by_two"](col("id")) + col("plus_ten"), + ) + ds = ds.with_column("comparison", col("times_three") > col("plus_ten")) + + # Apply optimization + rule = ProjectionPushdown() + optimized_plan = rule.apply(ds._logical_plan) + + # Verify execution correctness + from ray.data.dataset import Dataset + + optimized_ds = Dataset(ds._plan, optimized_plan) + result_df = optimized_ds.to_pandas() + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "plus_ten": [10, 11, 12, 13, 14], # id + 10 + "times_three": [0, 2, 4, 6, 8], # id * 2 (multiply_by_two UDF) + "minus_five": [-5, -4, -3, -2, -1], # id - 5 + "udf_plus_regular": [10, 13, 16, 19, 22], # (id * 2) + (id + 10) + "comparison": [ + False, + False, + False, + False, + False, + ], # times_three > plus_ten + } + ) + + pd.testing.assert_frame_equal( + result_df.sort_index(axis=1), + expected_df.sort_index(axis=1), + check_dtype=False, + ) + + # Verify that we have 1 operator (changed from multiple) + optimized_count = self._count_project_operators(optimized_plan) + assert ( + optimized_count == 1 + ), f"Expected 1 operator with all expressions fused, got {optimized_count}" + + def test_optimal_fusion_comparison(self): + """Compare optimized with_column approach against manual map_batches.""" + input_data = [{"id": i} for i in range(10)] + + # Create dataset using with_column (will be optimized) + ds_with_column = ray.data.from_items(input_data) + ds_with_column = ds_with_column.with_column("col1", col("id") + 1) + ds_with_column = ds_with_column.with_column("col2", col("id") * 2) + ds_with_column = ds_with_column.with_column("col3", col("id") - 1) + ds_with_column = ds_with_column.with_column("col4", col("id") + 5) + ds_with_column = ds_with_column.with_column("col5", col("id") * 3) + + # Apply optimization + rule = ProjectionPushdown() + optimized_plan = rule.apply(ds_with_column._logical_plan) + from ray.data.dataset import Dataset + + optimized_ds = Dataset(ds_with_column._plan, optimized_plan) + + # Create dataset using single map_batches (optimal case) + ds_optimal = ray.data.from_items(input_data) + + def apply_all_expressions(batch): + import pyarrow.compute as pc + + result = batch.to_pydict() + result["col1"] = pc.add(batch["id"], 1) + result["col2"] = pc.multiply(batch["id"], 2) + result["col3"] = pc.subtract(batch["id"], 1) + result["col4"] = pc.add(batch["id"], 5) + result["col5"] = pc.multiply(batch["id"], 3) + return pa.table(result) + + ds_optimal = ds_optimal.map_batches( + apply_all_expressions, batch_format="pyarrow" + ) + + # Compare results using pandas + result_optimized = optimized_ds.to_pandas() + result_optimal = ds_optimal.to_pandas() + + pd.testing.assert_frame_equal( + result_optimized.sort_index(axis=1), + result_optimal.sort_index(axis=1), + check_dtype=False, + ) + + def test_chained_udf_dependencies(self): + """Test multiple non-vectorized UDFs in a dependency chain.""" + input_data = [{"id": i} for i in range(5)] + + # Create dataset with chained UDF dependencies + ds = ray.data.from_items(input_data) + ds = ds.with_column("plus_one", self.udfs["add_one"](col("id"))) + ds = ds.with_column("times_two", self.udfs["multiply_by_two"](col("plus_one"))) + ds = ds.with_column("div_three", self.udfs["divide_by_three"](col("times_two"))) + + # Apply optimization + rule = ProjectionPushdown() + optimized_plan = rule.apply(ds._logical_plan) + + # Verify 1 operator (changed from 3) + assert self._count_project_operators(optimized_plan) == 1 + assert ( + self._describe_plan_structure(optimized_plan) + == "Project(3 exprs) -> FromItems" # Changed from multiple operators + ) + + # Verify execution correctness + from ray.data.dataset import Dataset + + optimized_ds = Dataset(ds._plan, optimized_plan) + result_df = optimized_ds.to_pandas() + + expected_df = pd.DataFrame( + { + "id": [0, 1, 2, 3, 4], + "plus_one": [1, 2, 3, 4, 5], + "times_two": [2, 4, 6, 8, 10], + "div_three": [2 / 3, 4 / 3, 2.0, 8 / 3, 10 / 3], + } + ) + + pd.testing.assert_frame_equal( + result_df.sort_index(axis=1), + expected_df.sort_index(axis=1), + check_dtype=False, + ) + + def test_performance_impact_of_udf_chains(self): + """Test performance characteristics of UDF dependency chains vs independent UDFs.""" + input_data = [{"id": i} for i in range(100)] + + # Case 1: Independent UDFs (should fuse) + ds_independent = ray.data.from_items(input_data) + ds_independent = ds_independent.with_column( + "udf1", self.udfs["add_one"](col("id")) + ) + ds_independent = ds_independent.with_column( + "udf2", self.udfs["multiply_by_two"](col("id")) + ) + ds_independent = ds_independent.with_column( + "udf3", self.udfs["divide_by_three"](col("id")) + ) + + # Case 2: Chained UDFs (should also fuse now) + ds_chained = ray.data.from_items(input_data) + ds_chained = ds_chained.with_column("step1", self.udfs["add_one"](col("id"))) + ds_chained = ds_chained.with_column( + "step2", self.udfs["multiply_by_two"](col("step1")) + ) + ds_chained = ds_chained.with_column( + "step3", self.udfs["divide_by_three"](col("step2")) + ) + + # Apply optimization + rule = ProjectionPushdown() + optimized_independent = rule.apply(ds_independent._logical_plan) + optimized_chained = rule.apply(ds_chained._logical_plan) + + # Verify fusion behavior (both should be 1 now) + assert self._count_project_operators(optimized_independent) == 1 + assert ( + self._count_project_operators(optimized_chained) == 1 + ) # Changed from 3 to 1 + assert ( + self._describe_plan_structure(optimized_independent) + == "Project(3 exprs) -> FromItems" + ) + assert ( + self._describe_plan_structure(optimized_chained) + == "Project(3 exprs) -> FromItems" # Changed from multiple operators + ) + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) From 822eb84018c71f4304515df4f2abc68390e1f507 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Thu, 18 Sep 2025 11:52:42 -0700 Subject: [PATCH 1274/1566] [serve] Allow ProxyActor to return true/false for health check (#56660) ## Why are these changes needed? This PR allows the ProxyActor to return true or false to signify health, rather than requiring an exception to be raised to signify it's unhealthy. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/proxy.py | 9 +++++---- python/ray/serve/_private/proxy_state.py | 6 +----- python/ray/serve/tests/test_proxy_actor_wrapper.py | 2 +- 3 files changed, 7 insertions(+), 10 deletions(-) diff --git a/python/ray/serve/_private/proxy.py b/python/ray/serve/_private/proxy.py index 66ad787a2146..bc17f926a7dd 100644 --- a/python/ray/serve/_private/proxy.py +++ b/python/ray/serve/_private/proxy.py @@ -1075,11 +1075,11 @@ async def is_drained(self, _after: Optional[Any] = None) -> bool: pass @abstractmethod - async def check_health(self) -> None: + async def check_health(self) -> bool: """Check the health of the proxy. - Raises: - Exception: if the proxy is unhealthy + Returns: + True if the proxy is healthy, False otherwise """ pass @@ -1331,12 +1331,13 @@ async def is_drained(self, _after: Optional[Any] = None): self.grpc_proxy is None or self.grpc_proxy.is_drained() ) - async def check_health(self): + async def check_health(self) -> bool: """No-op method to check on the health of the HTTP Proxy. Make sure the async event loop is not blocked. """ logger.debug("Received health check.", extra={"log_to_stderr": False}) + return True def pong(self): """Called by the replica to initialize its handle to the proxy.""" diff --git a/python/ray/serve/_private/proxy_state.py b/python/ray/serve/_private/proxy_state.py index cea71187d1d9..719c23acba7a 100644 --- a/python/ray/serve/_private/proxy_state.py +++ b/python/ray/serve/_private/proxy_state.py @@ -236,11 +236,7 @@ def is_healthy(self, timeout_s: float) -> Optional[bool]: return None try: - # NOTE: Since `check_health` method is responding with nothing, sole - # purpose of fetching the result is to extract any potential - # exceptions - self._health_check_future.result() - return True + return self._health_check_future.result() except TimeoutError: logger.warning( f"Didn't receive health check response for proxy" diff --git a/python/ray/serve/tests/test_proxy_actor_wrapper.py b/python/ray/serve/tests/test_proxy_actor_wrapper.py index ebb6d788b0b3..211cc9370023 100644 --- a/python/ray/serve/tests/test_proxy_actor_wrapper.py +++ b/python/ray/serve/tests/test_proxy_actor_wrapper.py @@ -132,7 +132,7 @@ async def test_is_ready_check_timeout(): @pytest.mark.parametrize( ("response", "is_healthy"), [ - (None, True), + (True, True), (RayTaskError("check_health", "", "cuz"), False), ], ) From d06ec0fad6775d9f9070fbc8660385105c71fed2 Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Thu, 18 Sep 2025 20:57:23 +0200 Subject: [PATCH 1275/1566] [ci][RLlib] [test utils] Improve error message on some test-failures because of `IndexError` in `test_utils.py` (#54343) ## Why are these changes needed? In the CI I saw a fleaky test failing, but its error is not reported correctly: ```python [2025-07-04T00:01:57Z] Traceback (most recent call last): [2025-07-04T00:01:57Z] File "/root/.cache/bazel/_bazel_root/1df605deb6d24fc8068f6e25793ec703/execroot/com_github_ray_project_ray/bazel-out/k8-opt/bin/rllib/examples/connectors/multi_agent_observation_preprocessor.runfiles/com_github_ray_project_ray/rllib/examples/connectors/multi_agent_observation_preprocessor.py", line 137, in [2025-07-04T00:01:57Z] run_rllib_example_script_experiment(base_config, args) [2025-07-04T00:01:57Z] File "/rayci/python/ray/rllib/utils/test_utils.py", line 1354, in run_rllib_example_script_experiment [2025-07-04T00:01:57Z] f"{[e.args[0].args[2] for e in results.errors]}" [2025-07-04T00:01:57Z] File "/rayci/python/ray/rllib/utils/test_utils.py", line 1354, in [2025-07-04T00:01:57Z] f"{[e.args[0].args[2] for e in results.errors]}" # <--- [2025-07-04T00:01:57Z] IndexError: tuple index out of range # <--- ``` In the logs the actual error does not appear because of the `IndexError` for ` f"{[e.args[0].args[2] for e in results.errors]}"`. I am not sure why `e.args[0].args[2]` is used, a nested Exception perhaps? This PR adds a guard to fallback to a simpler `repr(e)` in case the `IndexError` would accur again. This allows to investigate why this `IndexError` occures and raises the `RuntimeError` like expected. ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] This PR is not tested, but improves other tests :) --------- Signed-off-by: Daraan Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/utils/test_utils.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/rllib/utils/test_utils.py b/rllib/utils/test_utils.py index 2ca0547d73ee..cecbaca1b057 100644 --- a/rllib/utils/test_utils.py +++ b/rllib/utils/test_utils.py @@ -1362,11 +1362,17 @@ def run_rllib_example_script_experiment( # Error out, if Tuner.fit() failed to run. Otherwise, erroneous examples might pass # the CI tests w/o us knowing that they are broken (b/c some examples do not have - # a --as-test flag and/or any passing criteris). + # a --as-test flag and/or any passing criteria). if results.errors: + # Might cause an IndexError if the tuple is not long enough; in that case, use repr(e). + errors = [ + e.args[0].args[2] + if e.args and hasattr(e.args[0], "args") and len(e.args[0].args) > 2 + else repr(e) + for e in results.errors + ] raise RuntimeError( - "Running the example script resulted in one or more errors! " - f"{[e.args[0].args[2] for e in results.errors]}" + f"Running the example script resulted in one or more errors! {errors}" ) # If run as a test, check whether we reached the specified success criteria. From 96705bee1abcbf180c6536ed0bedb206de17a63b Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 18 Sep 2025 12:06:16 -0700 Subject: [PATCH 1276/1566] [Data] [1/n] Predicate Expression Support (#56313) ## Why are these changes needed? Adds support for predicate expressions in Ray Data's Expression System. Involves the following: 1. Support for unary operations (NOT, IS_NULL(), IN and their inverses) 2. Add `PredicateExpr` to expression evaluator ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- doc/source/data/api/expressions.rst | 4 +- python/ray/data/_expression_evaluator.py | 35 +- python/ray/data/_internal/pandas_block.py | 2 + .../plan_expression/expression_evaluator.py | 14 +- python/ray/data/expressions.py | 87 +++- python/ray/data/tests/test_expressions.py | 151 +++++- python/ray/data/tests/test_map.py | 466 ++++++++++++++++++ 7 files changed, 745 insertions(+), 14 deletions(-) diff --git a/doc/source/data/api/expressions.rst b/doc/source/data/api/expressions.rst index 3e73a314b3bf..b5966c1636c2 100644 --- a/doc/source/data/api/expressions.rst +++ b/doc/source/data/api/expressions.rst @@ -35,4 +35,6 @@ instantiate them directly, but you may encounter them when working with expressi Expr ColumnExpr LiteralExpr - BinaryExpr \ No newline at end of file + BinaryExpr + UnaryExpr + UDFExpr \ No newline at end of file diff --git a/python/ray/data/_expression_evaluator.py b/python/ray/data/_expression_evaluator.py index 26642055aa2e..b94b6541860c 100644 --- a/python/ray/data/_expression_evaluator.py +++ b/python/ray/data/_expression_evaluator.py @@ -16,34 +16,56 @@ LiteralExpr, Operation, UDFExpr, + UnaryExpr, ) -_PANDAS_EXPR_OPS_MAP = { + +def _pa_is_in(left: Any, right: Any) -> Any: + if not isinstance(right, (pa.Array, pa.ChunkedArray)): + right = pa.array(right.as_py() if isinstance(right, pa.Scalar) else right) + return pc.is_in(left, right) + + +_PANDAS_EXPR_OPS_MAP: Dict[Operation, Callable[..., Any]] = { Operation.ADD: operator.add, Operation.SUB: operator.sub, Operation.MUL: operator.mul, Operation.DIV: operator.truediv, + Operation.FLOORDIV: operator.floordiv, Operation.GT: operator.gt, Operation.LT: operator.lt, Operation.GE: operator.ge, Operation.LE: operator.le, Operation.EQ: operator.eq, + Operation.NE: operator.ne, Operation.AND: operator.and_, Operation.OR: operator.or_, + Operation.NOT: operator.not_, + Operation.IS_NULL: pd.isna, + Operation.IS_NOT_NULL: pd.notna, + Operation.IN: lambda left, right: left.is_in(right), + Operation.NOT_IN: lambda left, right: ~left.is_in(right), } -_ARROW_EXPR_OPS_MAP = { +_ARROW_EXPR_OPS_MAP: Dict[Operation, Callable[..., Any]] = { Operation.ADD: pc.add, Operation.SUB: pc.subtract, Operation.MUL: pc.multiply, Operation.DIV: pc.divide, + Operation.FLOORDIV: lambda left, right: pc.floor(pc.divide(left, right)), Operation.GT: pc.greater, Operation.LT: pc.less, Operation.GE: pc.greater_equal, Operation.LE: pc.less_equal, Operation.EQ: pc.equal, - Operation.AND: pc.and_, - Operation.OR: pc.or_, + Operation.NE: pc.not_equal, + Operation.AND: pc.and_kleene, + Operation.OR: pc.or_kleene, + Operation.NOT: pc.invert, + Operation.IS_NULL: pc.is_null, + Operation.IS_NOT_NULL: pc.is_valid, + Operation.IN: _pa_is_in, + Operation.NOT_IN: lambda left, right: pc.invert(_pa_is_in(left, right)), } @@ -63,6 +85,10 @@ def _eval_expr_recursive( _eval_expr_recursive(expr.left, batch, ops), _eval_expr_recursive(expr.right, batch, ops), ) + if isinstance(expr, UnaryExpr): + # TODO: Use Visitor pattern here and store ops in shared state. + return ops[expr.op](_eval_expr_recursive(expr.operand, batch, ops)) + if isinstance(expr, UDFExpr): args = [_eval_expr_recursive(arg, batch, ops) for arg in expr.args] kwargs = { @@ -79,6 +105,7 @@ def _eval_expr_recursive( ) return result + raise TypeError(f"Unsupported expression node: {type(expr).__name__}") diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index 1c82b10cc5c5..ff08af3c0622 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -320,6 +320,8 @@ def rename_columns(self, columns_rename: Dict[str, str]) -> "pandas.DataFrame": def upsert_column( self, column_name: str, column_data: BlockColumn ) -> "pandas.DataFrame": + import pyarrow + if isinstance(column_data, (pyarrow.Array, pyarrow.ChunkedArray)): column_data = column_data.to_pandas() diff --git a/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py b/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py index 2a1adffca718..938c2a2d21fc 100644 --- a/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py +++ b/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py @@ -65,9 +65,9 @@ def visit_Compare(self, node: ast.Compare) -> ds.Expression: op = node.ops[0] if isinstance(op, ast.In): - return left_expr.isin(comparators[0]) + return left_expr.is_in(comparators[0]) elif isinstance(op, ast.NotIn): - return ~left_expr.isin(comparators[0]) + return ~left_expr.is_in(comparators[0]) elif isinstance(op, ast.Eq): return left_expr == comparators[0] elif isinstance(op, ast.NotEq): @@ -210,7 +210,7 @@ def visit_Call(self, node: ast.Call) -> ds.Expression: nan_is_null=nan_is_null ), "is_valid": lambda arg: arg.is_valid(), - "isin": lambda arg1, arg2: arg1.isin(arg2), + "is_in": lambda arg1, arg2: arg1.is_in(arg2), } if func_name in function_map: @@ -224,11 +224,11 @@ def visit_Call(self, node: ast.Call) -> ds.Expression: return function_map[func_name](args[0], args[1]) else: raise ValueError("is_null function requires one or two arguments.") - # Handle the "isin" function with exactly two arguments - elif func_name == "isin" and len(args) != 2: - raise ValueError("isin function requires two arguments.") + # Handle the "is_in" function with exactly two arguments + elif func_name == "is_in" and len(args) != 2: + raise ValueError("is_in function requires two arguments.") # Ensure the function has one argument (for functions like is_valid) - elif func_name != "isin" and len(args) != 1: + elif func_name != "is_in" and len(args) != 1: raise ValueError(f"{func_name} function requires exactly one argument.") # Call the corresponding function with the arguments return function_map[func_name](*args) diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index 94a799802068..2bdd358c0515 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -4,7 +4,7 @@ from abc import ABC, abstractmethod from dataclasses import dataclass, field from enum import Enum -from typing import Any, Callable, Dict, List +from typing import Any, Callable, Dict, List, Union from ray.data.block import BatchColumn from ray.data.datatype import DataType @@ -23,26 +23,40 @@ class Operation(Enum): SUB: Subtraction operation (-) MUL: Multiplication operation (*) DIV: Division operation (/) + FLOORDIV: Floor division operation (//) GT: Greater than comparison (>) LT: Less than comparison (<) GE: Greater than or equal comparison (>=) LE: Less than or equal comparison (<=) EQ: Equality comparison (==) + NE: Not equal comparison (!=) AND: Logical AND operation (&) OR: Logical OR operation (|) + NOT: Logical NOT operation (~) + IS_NULL: Check if value is null + IS_NOT_NULL: Check if value is not null + IN: Check if value is in a list + NOT_IN: Check if value is not in a list """ ADD = "add" SUB = "sub" MUL = "mul" DIV = "div" + FLOORDIV = "floordiv" GT = "gt" LT = "lt" GE = "ge" LE = "le" EQ = "eq" + NE = "ne" AND = "and" OR = "or" + NOT = "not" + IS_NULL = "is_null" + IS_NOT_NULL = "is_not_null" + IN = "in" + NOT_IN = "not_in" @DeveloperAPI(stability="alpha") @@ -127,6 +141,14 @@ def __rtruediv__(self, other: Any) -> "Expr": """Reverse division operator (for literal / expr).""" return LiteralExpr(other)._bin(self, Operation.DIV) + def __floordiv__(self, other: Any) -> "Expr": + """Floor division operator (//).""" + return self._bin(other, Operation.FLOORDIV) + + def __rfloordiv__(self, other: Any) -> "Expr": + """Reverse floor division operator (for literal // expr).""" + return LiteralExpr(other)._bin(self, Operation.FLOORDIV) + # comparison def __gt__(self, other: Any) -> "Expr": """Greater than operator (>).""" @@ -148,6 +170,10 @@ def __eq__(self, other: Any) -> "Expr": """Equality operator (==).""" return self._bin(other, Operation.EQ) + def __ne__(self, other: Any) -> "Expr": + """Not equal operator (!=).""" + return self._bin(other, Operation.NE) + # boolean def __and__(self, other: Any) -> "Expr": """Logical AND operator (&).""" @@ -157,6 +183,31 @@ def __or__(self, other: Any) -> "Expr": """Logical OR operator (|).""" return self._bin(other, Operation.OR) + def __invert__(self) -> "Expr": + """Logical NOT operator (~).""" + return UnaryExpr(Operation.NOT, self) + + # predicate methods + def is_null(self) -> "Expr": + """Check if the expression value is null.""" + return UnaryExpr(Operation.IS_NULL, self) + + def is_not_null(self) -> "Expr": + """Check if the expression value is not null.""" + return UnaryExpr(Operation.IS_NOT_NULL, self) + + def is_in(self, values: Union[List[Any], "Expr"]) -> "Expr": + """Check if the expression value is in a list of values.""" + if not isinstance(values, Expr): + values = LiteralExpr(values) + return self._bin(values, Operation.IN) + + def not_in(self, values: Union[List[Any], "Expr"]) -> "Expr": + """Check if the expression value is not in a list of values.""" + if not isinstance(values, Expr): + values = LiteralExpr(values) + return self._bin(values, Operation.NOT_IN) + @DeveloperAPI(stability="alpha") @dataclass(frozen=True, eq=False) @@ -257,6 +308,39 @@ def structurally_equals(self, other: Any) -> bool: ) +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class UnaryExpr(Expr): + """Expression that represents a unary operation on a single expression. + + This expression type represents an operation with one operand. + Common unary operations include logical NOT, IS NULL, IS NOT NULL, etc. + + Args: + op: The operation to perform (from Operation enum) + operand: The operand expression + + Example: + >>> from ray.data.expressions import col + >>> # Check if a column is null + >>> expr = col("age").is_null() # Creates UnaryExpr(IS_NULL, col("age")) + >>> # Logical not + >>> expr = ~(col("active")) # Creates UnaryExpr(NOT, col("active")) + """ + + op: Operation + operand: Expr + + data_type: DataType = field(init=False) + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, UnaryExpr) + and self.op is other.op + and self.operand.structurally_equals(other.operand) + ) + + @DeveloperAPI(stability="alpha") @dataclass(frozen=True, eq=False) class UDFExpr(Expr): @@ -517,6 +601,7 @@ def download(uri_column_name: str) -> DownloadExpr: "ColumnExpr", "LiteralExpr", "BinaryExpr", + "UnaryExpr", "UDFExpr", "udf", "DownloadExpr", diff --git a/python/ray/data/tests/test_expressions.py b/python/ray/data/tests/test_expressions.py index ac4783bbb8a5..815ab4465352 100644 --- a/python/ray/data/tests/test_expressions.py +++ b/python/ray/data/tests/test_expressions.py @@ -1,6 +1,13 @@ import pytest -from ray.data.expressions import Expr, col, lit +from ray.data.expressions import ( + BinaryExpr, + Expr, + Operation, + UnaryExpr, + col, + lit, +) # Tuples of (expr1, expr2, expected_result) STRUCTURAL_EQUALITY_TEST_CASES = [ @@ -58,6 +65,148 @@ def test_operator_eq_is_not_structural_eq(): assert struct_eq_result is True +class TestUnaryExpressions: + """Test unary expression functionality.""" + + @pytest.mark.parametrize( + "expr, expected_op", + [ + (col("age").is_null(), Operation.IS_NULL), + (col("name").is_not_null(), Operation.IS_NOT_NULL), + (~col("active"), Operation.NOT), + ], + ids=["is_null", "is_not_null", "not"], + ) + def test_unary_operations(self, expr, expected_op): + """Test that unary operations create correct UnaryExpr.""" + assert isinstance(expr, UnaryExpr) + assert expr.op == expected_op + assert isinstance(expr.operand, Expr) + + def test_unary_structural_equality(self): + """Test structural equality for unary expressions.""" + # Same expressions should be equal + assert col("age").is_null().structurally_equals(col("age").is_null()) + assert ( + col("active").is_not_null().structurally_equals(col("active").is_not_null()) + ) + assert (~col("flag")).structurally_equals(~col("flag")) + + # Different operations should not be equal + assert not col("age").is_null().structurally_equals(col("age").is_not_null()) + + # Different operands should not be equal + assert not col("age").is_null().structurally_equals(col("name").is_null()) + + +class TestBinaryExpressions: + """Test enhanced binary expression functionality.""" + + @pytest.mark.parametrize( + "expr, expected_op", + [ + (col("age") != lit(25), Operation.NE), + (col("status").is_in(["active", "pending"]), Operation.IN), + (col("status").not_in(["inactive", "deleted"]), Operation.NOT_IN), + (col("a").is_in(col("b")), Operation.IN), + ], + ids=["not_equal", "is_in", "not_in", "is_in_amongst_cols"], + ) + def test_new_binary_operations(self, expr, expected_op): + """Test new binary operations.""" + assert isinstance(expr, BinaryExpr) + assert expr.op == expected_op + + def test_is_in_with_list(self): + """Test is_in with list of values.""" + expr = col("status").is_in(["active", "pending", "completed"]) + assert isinstance(expr, BinaryExpr) + assert expr.op == Operation.IN + # The right operand should be a LiteralExpr containing the list + assert expr.right.value == ["active", "pending", "completed"] + + def test_is_in_with_expr(self): + """Test is_in with expression.""" + values_expr = lit(["a", "b", "c"]) + expr = col("category").is_in(values_expr) + assert isinstance(expr, BinaryExpr) + assert expr.op == Operation.IN + assert expr.right == values_expr + + def test_is_in_amongst_cols(self): + """Test is_in with expression.""" + expr = col("a").is_in(col("b")) + assert isinstance(expr, BinaryExpr) + assert expr.op == Operation.IN + assert expr.right == col("b") + + +class TestBooleanExpressions: + """Test boolean expression functionality.""" + + @pytest.mark.parametrize( + "condition", + [ + col("age") > lit(18), + col("status") == lit("active"), + col("name").is_not_null(), + (col("age") >= lit(21)) & (col("country") == lit("USA")), + ], + ids=["simple_gt", "simple_eq", "is_not_null", "complex_and"], + ) + def test_boolean_expressions_directly(self, condition): + """Test that boolean expressions work directly.""" + assert isinstance(condition, Expr) + # Verify the expression structure based on type + if condition.op in [Operation.GT, Operation.EQ]: + assert isinstance(condition, BinaryExpr) + elif condition.op == Operation.IS_NOT_NULL: + assert isinstance(condition, UnaryExpr) + elif condition.op == Operation.AND: + assert isinstance(condition, BinaryExpr) + + def test_boolean_combination(self): + """Test combining boolean expressions with logical operators.""" + expr1 = col("age") > 18 + expr2 = col("status") == "active" + + # Test AND combination + combined_and = expr1 & expr2 + assert isinstance(combined_and, BinaryExpr) + assert combined_and.op == Operation.AND + + # Test OR combination + combined_or = expr1 | expr2 + assert isinstance(combined_or, BinaryExpr) + assert combined_or.op == Operation.OR + + # Test NOT operation + negated = ~expr1 + assert isinstance(negated, UnaryExpr) + assert negated.op == Operation.NOT + + def test_boolean_structural_equality(self): + """Test structural equality for boolean expressions.""" + expr1 = col("age") > 18 + expr2 = col("age") > 18 + expr3 = col("age") > 21 + + assert expr1.structurally_equals(expr2) + assert not expr1.structurally_equals(expr3) + + def test_complex_boolean_expressions(self): + """Test complex boolean expressions work correctly.""" + # Complex boolean expression + complex_expr = (col("age") >= 21) & (col("country") == "USA") + assert isinstance(complex_expr, BinaryExpr) + assert complex_expr.op == Operation.AND + + # Even more complex with OR and NOT + very_complex = ((col("age") > 21) | (col("status") == "VIP")) & ~col("banned") + assert isinstance(very_complex, BinaryExpr) + assert very_complex.op == Operation.AND + + if __name__ == "__main__": import sys diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index ce3aac653edf..e90d027d242a 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -2710,6 +2710,472 @@ def invalid_int_return(x: pa.Array) -> int: assert "pandas.Series" in error_message and "numpy.ndarray" in error_message +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "expression, expected_column_data, test_description", + [ + # Floor division operations + pytest.param( + col("id") // 2, + [0, 0, 1, 1, 2], # [0//2, 1//2, 2//2, 3//2, 4//2] + "floor_division_by_literal", + ), + pytest.param( + lit(10) // (col("id") + 2), + [5, 3, 2, 2, 1], # [10//(0+2), 10//(1+2), 10//(2+2), 10//(3+2), 10//(4+2)] + "literal_floor_division_by_expression", + ), + # Not equal operations + pytest.param( + col("id") != 2, + [True, True, False, True, True], # [0!=2, 1!=2, 2!=2, 3!=2, 4!=2] + "not_equal_operation", + ), + # Null checking operations + pytest.param( + col("id").is_null(), + [False, False, False, False, False], # None of the values are null + "is_null_operation", + ), + pytest.param( + col("id").is_not_null(), + [True, True, True, True, True], # All values are not null + "is_not_null_operation", + ), + # Logical NOT operations + pytest.param( + ~(col("id") == 2), + [True, True, False, True, True], # ~[0==2, 1==2, 2==2, 3==2, 4==2] + "logical_not_operation", + ), + ], +) +def test_with_column_floor_division_and_logical_operations( + ray_start_regular_shared, + expression, + expected_column_data, + test_description, +): + """Test floor division, not equal, null checks, and logical NOT operations with with_column.""" + ds = ray.data.range(5) + result_ds = ds.with_column("result", expression) + + # Convert to pandas and assert on the whole dataframe + result_df = result_ds.to_pandas() + expected_df = pd.DataFrame({"id": [0, 1, 2, 3, 4], "result": expected_column_data}) + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "test_data, expression, expected_results, test_description", + [ + # Test with null values + pytest.param( + [{"value": 1}, {"value": None}, {"value": 3}], + col("value").is_null(), + [False, True, False], + "is_null_with_actual_nulls", + ), + pytest.param( + [{"value": 1}, {"value": None}, {"value": 3}], + col("value").is_not_null(), + [True, False, True], + "is_not_null_with_actual_nulls", + ), + # Test is_in operations + pytest.param( + [{"value": 1}, {"value": 2}, {"value": 3}], + col("value").is_in([1, 3]), + [True, False, True], + "isin_operation", + ), + pytest.param( + [{"value": 1}, {"value": 2}, {"value": 3}], + col("value").not_in([1, 3]), + [False, True, False], + "not_in_operation", + ), + # Test string operations + pytest.param( + [{"name": "Alice"}, {"name": "Bob"}, {"name": "Charlie"}], + col("name") == "Bob", + [False, True, False], + "string_equality", + ), + pytest.param( + [{"name": "Alice"}, {"name": "Bob"}, {"name": "Charlie"}], + col("name") != "Bob", + [True, False, True], + "string_not_equal", + ), + # Filter with string operations - accept engine's null propagation + pytest.param( + [ + {"name": "included"}, + {"name": "excluded"}, + {"name": None}, + ], + col("name").is_not_null() & (col("name") != "excluded"), + [True, False, False], + "string_filter", + ), + ], +) +def test_with_column_null_checks_and_membership_operations( + ray_start_regular_shared, + test_data, + expression, + expected_results, + test_description, + target_max_block_size_infinite_or_default, +): + """Test null checking, is_in/not_in membership operations, and string comparisons with with_column.""" + ds = ray.data.from_items(test_data) + result_ds = ds.with_column("result", expression) + + # Convert to pandas and assert on the whole dataframe + result_df = result_ds.to_pandas() + + # Create expected dataframe from test data + expected_data = {} + for key in test_data[0].keys(): + expected_data[key] = [row[key] for row in test_data] + expected_data["result"] = expected_results + + expected_df = pd.DataFrame(expected_data) + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "expression_factory, expected_results, test_description", + [ + # Complex boolean expressions + pytest.param( + lambda: (col("age") > 18) & (col("country") == "USA"), + [ + True, + False, + False, + ], # [(25>18)&("USA"=="USA"), (17>18)&("Canada"=="USA"), (30>18)&("UK"=="USA")] + "complex_and_expression", + ), + pytest.param( + lambda: (col("age") < 18) | (col("country") == "USA"), + [ + True, + True, + False, + ], # [(25<18)|("USA"=="USA"), (17<18)|("Canada"=="USA"), (30<18)|("UK"=="USA")] + "complex_or_expression", + ), + pytest.param( + lambda: ~((col("age") < 25) & (col("country") != "USA")), + [ + True, + False, + True, + ], # ~[(25<25)&("USA"!="USA"), (17<25)&("Canada"!="USA"), (30<25)&("UK"!="USA")] + "complex_not_expression", + ), + # Age group calculation (common use case) + pytest.param( + lambda: col("age") // 10 * 10, + [20, 10, 30], # [25//10*10, 17//10*10, 30//10*10] + "age_group_calculation", + ), + # Eligibility flags + pytest.param( + lambda: (col("age") >= 21) + & (col("score") >= 10) + & col("active").is_not_null() + & (col("active") == lit(True)), + [ + True, + False, + False, + ], + "eligibility_flag", + ), + ], +) +def test_with_column_complex_boolean_expressions( + ray_start_regular_shared, + expression_factory, + expected_results, + test_description, + target_max_block_size_infinite_or_default, +): + """Test complex boolean expressions with AND, OR, NOT operations commonly used for filtering and flagging.""" + test_data = [ + {"age": 25, "country": "USA", "active": True, "score": 20}, + {"age": 17, "country": "Canada", "active": False, "score": 10}, + {"age": 30, "country": "UK", "active": None, "score": 20}, + ] + + ds = ray.data.from_items(test_data) + expression = expression_factory() + result_ds = ds.with_column("result", expression) + + # Convert to pandas and assert on the whole dataframe + result_df = result_ds.to_pandas() + expected_df = pd.DataFrame( + { + "age": [25, 17, 30], + "country": ["USA", "Canada", "UK"], + "active": [True, False, None], + "score": [20, 10, 20], + "result": expected_results, + } + ) + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_chained_expression_operations( + ray_start_regular_shared, target_max_block_size_infinite_or_default +): + """Test chaining multiple expression operations together in a data transformation pipeline.""" + test_data = [ + {"age": 25, "salary": 50000, "active": True, "score": 20}, + {"age": 17, "salary": 0, "active": False, "score": 10}, + {"age": 35, "salary": 75000, "active": None, "score": 20}, + ] + + ds = ray.data.from_items(test_data) + + # Chain multiple operations + result_ds = ( + ds.with_column("is_adult", col("age") >= 18) + .with_column("age_group", (col("age") // 10) * 10) + .with_column("has_salary", col("salary") != 0) + .with_column( + "is_active_adult", (col("age") >= 18) & col("active").is_not_null() + ) + .with_column("salary_tier", (col("salary") // 25000) * 25000) + .with_column("score_tier", (col("score") // 20) * 20) + ) + + # Convert to pandas and assert on the whole dataframe + result_df = result_ds.to_pandas() + expected_df = pd.DataFrame( + { + "age": [25, 17, 35], + "salary": [50000, 0, 75000], + "active": [True, False, None], + "score": [20, 10, 20], # Add the missing score column + "is_adult": [True, False, True], + "age_group": [20, 10, 30], # age // 10 * 10 + "has_salary": [True, False, True], # salary != 0 + "is_active_adult": [ + True, + False, + False, + ], # (age >= 18) & (active is not null) + "salary_tier": [50000, 0, 75000], # salary // 25000 * 25000 + "score_tier": [20, 0, 20], # score // 20 * 20 + } + ) + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "filter_expr, test_data, expected_flags, test_description", + [ + # Simple filter expressions + pytest.param( + col("age") >= 21, + [ + {"age": 20, "name": "Alice"}, + {"age": 21, "name": "Bob"}, + {"age": 25, "name": "Charlie"}, + ], + [False, True, True], + "age_filter", + ), + pytest.param( + col("score") > 50, + [ + {"score": 30, "status": "fail"}, + {"score": 50, "status": "pass"}, + {"score": 70, "status": "pass"}, + ], + [False, False, True], + "score_filter", + ), + # Complex filter with multiple conditions + pytest.param( + (col("age") >= 18) & col("active"), + [ + {"age": 17, "active": True}, + {"age": 18, "active": False}, + {"age": 25, "active": True}, + ], + [False, False, True], + "complex_and_filter", + ), + pytest.param( + (col("status") == "approved") | (col("priority") == "high"), + [ + {"status": "pending", "priority": "low"}, + {"status": "approved", "priority": "low"}, + {"status": "pending", "priority": "high"}, + ], + [False, True, True], + "complex_or_filter", + ), + # Filter with null handling + pytest.param( + col("value").is_not_null() & (col("value") > 0), + [ + {"value": None}, + {"value": -5}, + {"value": 10}, + ], + [ + False, + False, + True, + ], + "null_aware_filter", + ), + # Filter with string operations - reorder to check null first + pytest.param( + col("name").is_not_null() & (col("name") != "excluded"), + [ + {"name": "included"}, + {"name": "excluded"}, + {"name": None}, + ], + [True, False, False], + "string_filter", + ), + # Filter with membership operations + pytest.param( + col("category").is_in(["A", "B"]), + [ + {"category": "A"}, + {"category": "B"}, + {"category": "C"}, + {"category": "D"}, + ], + [True, True, False, False], + "membership_filter", + ), + # Nested filter expressions + pytest.param( + (col("score") >= 50) & (col("grade") != "F"), + [ + {"score": 45, "grade": "F"}, + {"score": 55, "grade": "D"}, + {"score": 75, "grade": "B"}, + {"score": 30, "grade": "F"}, + ], + [False, True, True, False], + "nested_filters", + ), + ], +) +def test_with_column_filter_expressions( + ray_start_regular_shared, + filter_expr, + test_data, + expected_flags, + test_description, +): + """Test filter() expression functionality with with_column for creating boolean flag columns.""" + ds = ray.data.from_items(test_data) + result_ds = ds.with_column("is_filtered", filter_expr) + + # Convert to pandas and verify the filter results + result_df = result_ds.to_pandas() + + # Build expected dataframe + expected_df = pd.DataFrame(test_data) + expected_df["is_filtered"] = expected_flags + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_filter_in_pipeline(ray_start_regular_shared): + """Test filter() expressions used in a data processing pipeline with multiple transformations.""" + # Create test data for a sales analysis pipeline + test_data = [ + {"product": "A", "quantity": 10, "price": 100, "region": "North"}, + {"product": "B", "quantity": 5, "price": 200, "region": "South"}, + {"product": "C", "quantity": 20, "price": 50, "region": "North"}, + {"product": "D", "quantity": 15, "price": 75, "region": "East"}, + {"product": "E", "quantity": 3, "price": 300, "region": "West"}, + ] + + ds = ray.data.from_items(test_data) + + # Build a pipeline with multiple filter expressions + result_ds = ( + ds + # Calculate total revenue + .with_column("revenue", col("quantity") * col("price")) + # Flag high-value transactions + .with_column("is_high_value", col("revenue") >= 1000) + # Flag bulk orders + .with_column("is_bulk_order", col("quantity") >= 10) + # Flag premium products + .with_column("is_premium", col("price") >= 100) + # Create composite filter for special handling + .with_column( + "needs_special_handling", + (col("is_high_value")) | (col("is_bulk_order") & col("is_premium")), + ) + # Regional filter + .with_column("is_north_region", col("region") == "North") + ) + + # Convert to pandas and verify + result_df = result_ds.to_pandas() + + expected_df = pd.DataFrame( + { + "product": ["A", "B", "C", "D", "E"], + "quantity": [10, 5, 20, 15, 3], + "price": [100, 200, 50, 75, 300], + "region": ["North", "South", "North", "East", "West"], + "revenue": [1000, 1000, 1000, 1125, 900], + "is_high_value": [True, True, True, True, False], + "is_bulk_order": [True, False, True, True, False], + "is_premium": [True, True, False, False, True], + "needs_special_handling": [True, True, True, True, False], + "is_north_region": [True, False, True, False, False], + } + ) + + pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) + + if __name__ == "__main__": import sys From 95cb12a5ad2ae523b403f3814a714f807899a444 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Thu, 18 Sep 2025 12:26:06 -0700 Subject: [PATCH 1277/1566] [data] Reset external queue metrics (#56604) ## Why are these changes needed? before: we updated metrics when we added an output, but the queue size after the operator is done adding outputs. after: we update every time we take an input. This should rise and fall back to 0 naturally image ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../execution/streaming_executor_state.py | 6 +++-- python/ray/data/tests/test_stats.py | 26 +++++++------------ 2 files changed, 14 insertions(+), 18 deletions(-) diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index c3d7ae8e95dc..360fcc284919 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -307,8 +307,8 @@ def add_output(self, ref: RefBundle) -> None: self.op.metrics.num_restarting_actors = actor_info.restarting self.op.metrics.num_pending_actors = actor_info.pending for next_op in self.op.output_dependencies: - next_op.metrics.num_external_inqueue_blocks = self.output_queue.num_blocks - next_op.metrics.num_external_inqueue_bytes = self.output_queue.memory_usage + next_op.metrics.num_external_inqueue_blocks += len(ref.blocks) + next_op.metrics.num_external_inqueue_bytes += ref.size_bytes() def refresh_progress_bar(self, resource_manager: ResourceManager) -> None: """Update the console with the latest operator progress.""" @@ -353,6 +353,8 @@ def dispatch_next_task(self) -> None: ref = inqueue.pop() if ref is not None: self.op.add_input(ref, input_index=i) + self.op.metrics.num_external_inqueue_bytes -= ref.size_bytes() + self.op.metrics.num_external_inqueue_blocks -= len(ref.blocks) return assert False, "Nothing to dispatch" diff --git a/python/ray/data/tests/test_stats.py b/python/ray/data/tests/test_stats.py index 07cb5c359fd2..4d0f1613583b 100644 --- a/python/ray/data/tests/test_stats.py +++ b/python/ray/data/tests/test_stats.py @@ -103,8 +103,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': N", "'bytes_outputs_of_finished_tasks': N", "'rows_outputs_of_finished_tasks': N", - "'num_external_inqueue_blocks': N", - "'num_external_inqueue_bytes': N", + "'num_external_inqueue_blocks': Z", + "'num_external_inqueue_bytes': Z", "'num_tasks_submitted': N", "'num_tasks_running': Z", "'num_tasks_have_outputs': N", @@ -166,8 +166,8 @@ def gen_expected_metrics( "'num_outputs_of_finished_tasks': Z", "'bytes_outputs_of_finished_tasks': Z", "'rows_outputs_of_finished_tasks': Z", - "'num_external_inqueue_blocks': N", - "'num_external_inqueue_bytes': N", + "'num_external_inqueue_blocks': Z", + "'num_external_inqueue_bytes': Z", "'num_tasks_submitted': Z", "'num_tasks_running': Z", "'num_tasks_have_outputs': Z", @@ -710,8 +710,8 @@ def test_dataset__repr__(ray_start_regular_shared, restore_data_context): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_external_inqueue_blocks: N,\n" - " num_external_inqueue_bytes: N,\n" + " num_external_inqueue_blocks: Z,\n" + " num_external_inqueue_bytes: Z,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -842,8 +842,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_external_inqueue_blocks: N,\n" - " num_external_inqueue_bytes: N,\n" + " num_external_inqueue_blocks: Z,\n" + " num_external_inqueue_bytes: Z,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -929,8 +929,8 @@ def check_stats(): " num_outputs_of_finished_tasks: N,\n" " bytes_outputs_of_finished_tasks: N,\n" " rows_outputs_of_finished_tasks: N,\n" - " num_external_inqueue_blocks: N,\n" - " num_external_inqueue_bytes: N,\n" + " num_external_inqueue_blocks: Z,\n" + " num_external_inqueue_bytes: Z,\n" " num_tasks_submitted: N,\n" " num_tasks_running: Z,\n" " num_tasks_have_outputs: N,\n" @@ -1985,12 +1985,6 @@ def test_op_metrics_logging(): + gen_expected_metrics(is_map=False) ) # .replace("'obj_store_mem_used': N", "'obj_store_mem_used': Z") # InputDataBuffer has no inqueue, manually set to 0 - input_str = input_str.replace( - "'num_external_inqueue_blocks': N", "'num_external_inqueue_blocks': Z" - ) - input_str = input_str.replace( - "'num_external_inqueue_bytes': N", "'num_external_inqueue_bytes': Z" - ) map_str = ( "Operator TaskPoolMapOperator[ReadRange->MapBatches()] completed. " "Operator Metrics:\n" From da3a4d30bc852b1b2f636ccb4d0febf67b99d818 Mon Sep 17 00:00:00 2001 From: Arthur Leung Date: Thu, 18 Sep 2025 16:40:40 -0400 Subject: [PATCH 1278/1566] [serve] Include custom metrics method and report to controller (#56005) ## Why are these changes needed? Required by https://docs.google.com/document/d/1KtMUDz1O3koihG6eh-QcUqudZjNAX3NsqqOMYh3BoWA/edit?tab=t.0#heading=h.jo7hyr9zpyw image Allows each replica to call a method `record_autoscaling_stats` and sends the resultant custom metrics to the controller. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Arthur Leung Co-authored-by: Arthur Leung Signed-off-by: Douglas Strodtman --- .../03_Deploy_LLM_with_Ray_Serve.ipynb | 5 +- .../examples/e2e-rag/notebooks/serve_llm.py | 5 +- ...p_stdio_docker_images_with_ray_serve.ipynb | 4 +- .../mcp-ray-serve/multi_mcp_ray_serve.py | 2 +- .../ray/serve/_private/autoscaling_state.py | 44 +++- python/ray/serve/_private/constants.py | 5 + python/ray/serve/_private/controller.py | 13 +- python/ray/serve/_private/metrics_utils.py | 22 +- python/ray/serve/_private/replica.py | 198 ++++++++++++++---- python/ray/serve/tests/BUILD.bazel | 22 ++ .../tests/test_custom_autoscaling_metrics.py | 131 ++++++++++++ .../serve/tests/unit/test_deployment_state.py | 2 +- 12 files changed, 392 insertions(+), 61 deletions(-) create mode 100644 python/ray/serve/tests/test_custom_autoscaling_metrics.py diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/03_Deploy_LLM_with_Ray_Serve.ipynb b/doc/source/ray-overview/examples/e2e-rag/notebooks/03_Deploy_LLM_with_Ray_Serve.ipynb index 70f7ce532ac7..8a013b66c6a7 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/03_Deploy_LLM_with_Ray_Serve.ipynb +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/03_Deploy_LLM_with_Ray_Serve.ipynb @@ -122,8 +122,7 @@ " accelerator_type='L4',\n", " deployment_config={\n", " 'autoscaling_config': {\n", - " 'target_ongoing_requests': 32,\n", - " 'target_num_ongoing_requests_per_replica': 32,\n", + " 'target_ongoing_requests': 32\n", " },\n", " 'max_ongoing_requests': 64,\n", " },\n", @@ -562,7 +561,7 @@ "\n", "# Initialize client\n", "client = OpenAI(base_url=\"http://localhost:8000/v1\", api_key=\"fake-key\")\n", - "model_id='Qwen/Qwen2.5-32B-Instruct' ## model id need to be same as your deployment \n", + "model_id='Qwen/Qwen2.5-32B-Instruct' ## model id need to be same as your deployment\n", "\n", "# Basic chat completion with streaming\n", "response = client.chat.completions.create(\n", diff --git a/doc/source/ray-overview/examples/e2e-rag/notebooks/serve_llm.py b/doc/source/ray-overview/examples/e2e-rag/notebooks/serve_llm.py index 9922d09b7f1b..8335d77f9523 100644 --- a/doc/source/ray-overview/examples/e2e-rag/notebooks/serve_llm.py +++ b/doc/source/ray-overview/examples/e2e-rag/notebooks/serve_llm.py @@ -13,10 +13,7 @@ }, accelerator_type="A10G", deployment_config={ - "autoscaling_config": { - "target_ongoing_requests": 32, - "target_num_ongoing_requests_per_replica": 32, - }, + "autoscaling_config": {"target_ongoing_requests": 32}, "max_ongoing_requests": 64, }, ) diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb index 5172f3c5ea7f..f48d8ba7ef46 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb +++ b/doc/source/ray-overview/examples/mcp-ray-serve/04 Deploy_multiple_mcp_stdio_docker_images_with_ray_serve.ipynb @@ -186,7 +186,7 @@ " return MCP\n", "\n", "# -------------------------\n", - "# HTTP router code \n", + "# HTTP router code\n", "# -------------------------\n", "\n", "api = FastAPI()\n", @@ -244,7 +244,7 @@ " autoscaling_config={\n", " \"min_replicas\": 1,\n", " \"max_replicas\": 5,\n", - " \"target_num_ongoing_requests_per_replica\": 10,\n", + " \"target_ongoing_requests\": 10,\n", " },\n", ")\n", "\n", diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py b/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py index 89bc5f4b7901..099c95018889 100644 --- a/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py +++ b/doc/source/ray-overview/examples/mcp-ray-serve/multi_mcp_ray_serve.py @@ -176,7 +176,7 @@ async def call_tool_http(self, mcp_name: str, request: Request): autoscaling_config={ "min_replicas": 1, "max_replicas": 5, - "target_num_ongoing_requests_per_replica": 10, + "target_num_ongoing_requests": 10, }, ) diff --git a/python/ray/serve/_private/autoscaling_state.py b/python/ray/serve/_private/autoscaling_state.py index e7eace67b2d2..64c4d3784277 100644 --- a/python/ray/serve/_private/autoscaling_state.py +++ b/python/ray/serve/_private/autoscaling_state.py @@ -1,5 +1,6 @@ import logging import time +from collections import defaultdict from dataclasses import dataclass from typing import Any, Dict, List, Optional, Set @@ -72,7 +73,8 @@ def __init__(self, deployment_id: DeploymentID): self._handle_requests: Dict[str, HandleMetricReport] = dict() # Map from replica ID to replica request metric report. Metrics # are removed from this dict when a replica is stopped. - self._replica_requests: Dict[ReplicaID, ReplicaMetricReport] = dict() + # Prometheus + Custom metrics from each replica are also included + self._replica_metrics: Dict[ReplicaID, ReplicaMetricReport] = dict() self._deployment_info = None self._config = None @@ -105,8 +107,8 @@ def register(self, info: DeploymentInfo, curr_target_num_replicas: int) -> int: return self.apply_bounds(target_num_replicas) def on_replica_stopped(self, replica_id: ReplicaID): - if replica_id in self._replica_requests: - del self._replica_requests[replica_id] + if replica_id in self._replica_metrics: + del self._replica_metrics[replica_id] def get_num_replicas_lower_bound(self) -> int: if self._config.initial_replicas is not None and ( @@ -163,11 +165,12 @@ def record_request_metrics_for_replica( replica_id = replica_metric_report.replica_id send_timestamp = replica_metric_report.timestamp + if ( - replica_id not in self._replica_requests - or send_timestamp > self._replica_requests[replica_id].timestamp + replica_id not in self._replica_metrics + or send_timestamp > self._replica_metrics[replica_id].timestamp ): - self._replica_requests[replica_id] = replica_metric_report + self._replica_metrics[replica_id] = replica_metric_report def record_request_metrics_for_handle( self, @@ -280,9 +283,9 @@ def get_total_num_requests(self) -> float: total_requests = 0 for id in self._running_replicas: - if id in self._replica_requests: - total_requests += self._replica_requests[id].aggregated_metrics.get( - RUNNING_REQUESTS_KEY + if id in self._replica_metrics: + total_requests += self._replica_metrics[id].aggregated_metrics.get( + RUNNING_REQUESTS_KEY, 0 ) metrics_collected_on_replicas = total_requests > 0 @@ -300,6 +303,19 @@ def get_total_num_requests(self) -> float: return total_requests + def get_replica_metrics(self, agg_func: str) -> Dict[ReplicaID, List[Any]]: + """Get the raw replica metrics dict.""" + # arcyleung TODO: pass agg_func from autoscaling policy https://github.com/ray-project/ray/pull/51905 + # Dummy implementation of mean agg_func across all values of the same metrics key + + metric_values = defaultdict(list) + for id in self._running_replicas: + if id in self._replica_metrics and self._replica_metrics[id].metrics: + for k, v in self._replica_metrics[id].metrics.items(): + metric_values[k].append(v) + + return metric_values + class AutoscalingStateManager: """Manages all things autoscaling related. @@ -347,6 +363,16 @@ def get_metrics(self) -> Dict[DeploymentID, float]: for deployment_id in self._autoscaling_states } + def get_all_metrics( + self, agg_func="mean" + ) -> Dict[DeploymentID, Dict[ReplicaID, List[Any]]]: + return { + deployment_id: self._autoscaling_states[deployment_id].get_replica_metrics( + agg_func + ) + for deployment_id in self._autoscaling_states + } + def get_target_num_replicas( self, deployment_id: DeploymentID, curr_target_num_replicas: int ) -> int: diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index a670fdd53616..2ac1a673c56c 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -284,6 +284,11 @@ "RAY_SERVE_CONTROLLER_CALLBACK_IMPORT_PATH", None ) +# Maximum timeout allowed for record_autoscaling_stats to run. +RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S = get_env_float( + "RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S", 10.0 +) + # How often autoscaling metrics are recorded on Serve replicas. RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S = get_env_float( "RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S", 0.5 diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 7e28d0d3f1ff..662c887fd1a4 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -3,7 +3,15 @@ import os import pickle import time -from typing import Any, Dict, Iterable, List, Optional, Tuple, Union +from typing import ( + Any, + Dict, + Iterable, + List, + Optional, + Tuple, + Union, +) import ray from ray._common.network_utils import build_address @@ -302,6 +310,9 @@ def record_autoscaling_metrics_from_handle( handle_metric_report ) + def _dump_all_autoscaling_metrics_for_testing(self): + return self.autoscaling_state_manager.get_all_metrics() + def _dump_autoscaling_metrics_for_testing(self): return self.autoscaling_state_manager.get_metrics() diff --git a/python/ray/serve/_private/metrics_utils.py b/python/ray/serve/_private/metrics_utils.py index 10d493979c61..48b481d88af7 100644 --- a/python/ray/serve/_private/metrics_utils.py +++ b/python/ray/serve/_private/metrics_utils.py @@ -6,6 +6,7 @@ from dataclasses import dataclass from itertools import chain from typing import ( + Awaitable, Callable, DefaultDict, Dict, @@ -14,6 +15,7 @@ List, Optional, Tuple, + Union, ) from ray.serve._private.common import TimeStampedValue @@ -29,7 +31,7 @@ @dataclass class _MetricsTask: - task_func: Callable + task_func: Union[Callable, Callable[[], Awaitable]] interval_s: float @@ -63,6 +65,7 @@ async def metrics_task(self, name: str): """Periodically runs `task_func` every `interval_s` until `stop_event` is set. If `task_func` raises an error, an exception will be logged. + Supports both sync and async task functions. """ wait_for_stop_event = asyncio.create_task(self.stop_event.wait()) @@ -71,7 +74,12 @@ async def metrics_task(self, name: str): return try: - self._tasks[name].task_func() + task_func = self._tasks[name].task_func + # Check if the function is a coroutine function + if asyncio.iscoroutinefunction(task_func): + await task_func() + else: + task_func() except Exception as e: logger.exception(f"Failed to run metrics task '{name}': {e}") @@ -89,13 +97,18 @@ async def metrics_task(self, name: str): def register_or_update_task( self, name: str, - task_func: Callable, + task_func: Union[Callable, Callable[[], Awaitable]], interval_s: int, ) -> None: - """Register a task under the provided name, or update it. + """Register a sync or async task under the provided name, or update it. This method is idempotent - if a task is already registered with the specified name, it will update it with the most recent info. + + Args: + name: Unique name for the task. + task_func: Either a sync function or async function (coroutine function). + interval_s: Interval in seconds between task executions. """ self._tasks[name] = _MetricsTask(task_func, interval_s) @@ -140,6 +153,7 @@ def add_metrics_point(self, data_points: Dict[Hashable, float], timestamp: float timestamp: the unix epoch timestamp the metrics are collected at. """ + for name, value in data_points.items(): # Using in-sort to insert while maintaining sorted ordering. bisect.insort(a=self.data[name], x=TimeStampedValue(timestamp, value)) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index ff1b8425c888..9fc0111397c4 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -55,6 +55,7 @@ HEALTH_CHECK_METHOD, RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE, RAY_SERVE_METRICS_EXPORT_INTERVAL_MS, + RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S, RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S, RAY_SERVE_REQUEST_PATH_LOG_BUFFER_SIZE, RAY_SERVE_RUN_SYNC_IN_THREADPOOL, @@ -163,14 +164,22 @@ def __init__( ingress: bool, ): self._replica_id = replica_id + self._deployment_id = replica_id.deployment_id self._metrics_pusher = MetricsPusher() self._metrics_store = InMemoryMetricsStore() - self._autoscaling_config = autoscaling_config self._ingress = ingress self._controller_handle = ray.get_actor( SERVE_CONTROLLER_NAME, namespace=SERVE_NAMESPACE ) self._num_ongoing_requests = 0 + # Store event loop for scheduling async tasks from sync context + self._event_loop = event_loop or asyncio.get_event_loop() + + # Cache user_callable_wrapper initialization state to avoid repeated runtime checks + self._custom_metrics_enabled = False + # On first call to _fetch_custom_autoscaling_metrics. Failing validation disables _custom_metrics_enabled + self._checked_custom_metrics = False + self._record_autoscaling_stats_fn = None # If the interval is set to 0, eagerly sets all metrics. self._cached_metrics_enabled = RAY_SERVE_METRICS_EXPORT_INTERVAL_MS != 0 @@ -216,16 +225,20 @@ def __init__( ) if self._cached_metrics_enabled: self._cached_latencies = defaultdict(deque) + self._event_loop.create_task(self._report_cached_metrics_forever()) self._num_ongoing_requests_gauge = metrics.Gauge( "serve_replica_processing_queries", description="The current number of queries being processed.", ) - self.set_autoscaling_config(autoscaling_config) + self.record_autoscaling_stats_failed_counter = metrics.Counter( + "serve_record_autoscaling_stats_failed", + description="The number of errored record_autoscaling_stats invocations.", + tag_keys=("app_name", "deployment_name", "replica_id", "exception_name"), + ) - if self._cached_metrics_enabled: - event_loop.create_task(self._report_cached_metrics_forever()) + self.set_autoscaling_config(autoscaling_config) def _report_cached_metrics(self): for route, count in self._cached_request_counter.items(): @@ -267,10 +280,23 @@ async def shutdown(self): await self._metrics_pusher.graceful_shutdown() - def should_collect_metrics(self) -> bool: - return ( - not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE - and self._autoscaling_config + def start_metrics_pusher(self): + self._metrics_pusher.start() + + # Push autoscaling metrics to the controller periodically. + self._metrics_pusher.register_or_update_task( + self.PUSH_METRICS_TO_CONTROLLER_TASK_NAME, + self._push_autoscaling_metrics, + self._autoscaling_config.metrics_interval_s, + ) + # Collect autoscaling metrics locally periodically. + self._metrics_pusher.register_or_update_task( + self.RECORD_METRICS_TASK_NAME, + self._add_autoscaling_metrics_point_async, + min( + RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S, + self._autoscaling_config.metrics_interval_s, + ), ) def set_autoscaling_config(self, autoscaling_config: Optional[AutoscalingConfig]): @@ -278,24 +304,22 @@ def set_autoscaling_config(self, autoscaling_config: Optional[AutoscalingConfig] self._autoscaling_config = autoscaling_config - if self.should_collect_metrics(): - self._metrics_pusher.start() + if ( + self._autoscaling_config + and not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE + ): + self.start_metrics_pusher() - # Push autoscaling metrics to the controller periodically. - self._metrics_pusher.register_or_update_task( - self.PUSH_METRICS_TO_CONTROLLER_TASK_NAME, - self._push_autoscaling_metrics, - self._autoscaling_config.metrics_interval_s, - ) - # Collect autoscaling metrics locally periodically. - self._metrics_pusher.register_or_update_task( - self.RECORD_METRICS_TASK_NAME, - self._add_autoscaling_metrics_point, - min( - RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S, - self._autoscaling_config.metrics_interval_s, - ), - ) + def enable_custom_autoscaling_metrics( + self, + custom_metrics_enabled: bool, + record_autoscaling_stats_fn: Callable[[], Optional[concurrent.futures.Future]], + ): + """Runs after the user callable wrapper is initialized to enable autoscaling metrics collection.""" + if custom_metrics_enabled: + self._custom_metrics_enabled = custom_metrics_enabled + self._record_autoscaling_stats_fn = record_autoscaling_stats_fn + self.start_metrics_pusher() def inc_num_ongoing_requests(self, request_metadata: RequestMetadata) -> int: """Increment the current total queue length of requests for this replica.""" @@ -331,26 +355,98 @@ def record_request_metrics(self, *, route: str, latency_ms: float, was_error: bo def _push_autoscaling_metrics(self) -> Dict[str, Any]: look_back_period = self._autoscaling_config.look_back_period_s self._metrics_store.prune_keys_and_compact_data(time.time() - look_back_period) + + new_aggregated_metrics = {} + new_metrics = {**self._metrics_store.data} + + if not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: + # Keep the legacy window_avg ongoing requests in the merged metrics dict + window_avg = ( + self._metrics_store.aggregate_avg([RUNNING_REQUESTS_KEY])[0] or 0.0 + ) + new_aggregated_metrics.update({RUNNING_REQUESTS_KEY: window_avg}) + replica_metric_report = ReplicaMetricReport( replica_id=self._replica_id, timestamp=time.time(), - aggregated_metrics={ - RUNNING_REQUESTS_KEY: self._metrics_store.aggregate_avg( - [self._replica_id] - )[0] - or 0.0 - }, - metrics={ - RUNNING_REQUESTS_KEY: self._metrics_store.data.get(self._replica_id, []) - }, + aggregated_metrics=new_aggregated_metrics, + metrics=new_metrics, ) self._controller_handle.record_autoscaling_metrics_from_replica.remote( replica_metric_report ) - def _add_autoscaling_metrics_point(self) -> None: + async def _fetch_custom_autoscaling_metrics( + self, + ) -> Optional[Dict[str, Union[int, float]]]: + try: + res = await asyncio.wait_for( + self._record_autoscaling_stats_fn(), + timeout=RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S, + ) + + # Perform validation only first call + if not self._checked_custom_metrics: + # Enforce return type to be Dict[str, Union[int, float]] + if not isinstance(res, dict): + logger.error( + f"User autoscaling stats method returned {type(res).__name__}, " + f"expected Dict[str, Union[int, float]]. Disabling autoscaling stats." + ) + self._custom_metrics_enabled = False + return None + + for key, value in res.items(): + if not isinstance(value, (int, float)): + logger.error( + f"User autoscaling stats method returned invalid value type " + f"{type(value).__name__} for key '{key}', expected int or float. " + f"Disabling autoscaling stats." + ) + self._custom_metrics_enabled = False + return None + + self._checked_custom_metrics = True + + return res + except asyncio.TimeoutError as timeout_err: + logger.error( + f"Replica autoscaling stats timed out after {RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S}s." + ) + self.record_autoscaling_stats_failed_counter.inc( + tags={ + "app_name": self._deployment_id.app_name, + "deployment_name": self._deployment_id.name, + "replica_id": self._replica_id.unique_id, + "exception_name": timeout_err.__class__.__name__, + } + ) + except Exception as err: + logger.error(f"Replica autoscaling stats failed. {err}") + self.record_autoscaling_stats_failed_counter.inc( + tags={ + "app_name": self._deployment_id.app_name, + "deployment_name": self._deployment_id.name, + "replica_id": self._replica_id.unique_id, + "exception_name": err.__class__.__name__, + } + ) + return None + + async def _add_autoscaling_metrics_point_async(self) -> None: + if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: + metrics_dict = {} + else: + metrics_dict = {RUNNING_REQUESTS_KEY: self._num_ongoing_requests} + + # Use cached availability flag to avoid repeated runtime checks + if self._custom_metrics_enabled: + custom_metrics = await self._fetch_custom_autoscaling_metrics() + if custom_metrics: + metrics_dict.update(custom_metrics) + self._metrics_store.add_metrics_point( - {self._replica_id: self._num_ongoing_requests}, + metrics_dict, time.time(), ) @@ -762,6 +858,20 @@ async def initialize(self, deployment_config: DeploymentConfig): await self._on_initialized() self._user_callable_initialized = True + if self._user_callable_wrapper is not None: + initialized = ( + hasattr( + self._user_callable_wrapper, "_user_autoscaling_stats" + ) + and self._user_callable_wrapper._user_autoscaling_stats + is not None + ) + + self._metrics_manager.enable_custom_autoscaling_metrics( + custom_metrics_enabled=initialized, + record_autoscaling_stats_fn=self._user_callable_wrapper.call_record_autoscaling_stats, + ) + if deployment_config: await self._user_callable_wrapper.set_sync_method_threadpool_limit( deployment_config.max_ongoing_requests @@ -1506,6 +1616,9 @@ async def initialize_callable(self) -> Optional[ASGIApp]: self._user_record_routing_stats = getattr( self._callable, REQUEST_ROUTING_STATS_METHOD, None ) + self._user_autoscaling_stats = getattr( + self._callable, "record_autoscaling_stats", None + ) logger.info( "Finished initializing replica.", @@ -1545,6 +1658,14 @@ def call_user_record_routing_stats(self) -> Optional[concurrent.futures.Future]: return None + def call_record_autoscaling_stats(self) -> Optional[concurrent.futures.Future]: + self._raise_if_not_initialized("call_record_autoscaling_stats") + + if self._user_autoscaling_stats is not None: + return self._call_user_autoscaling_stats() + + return None + @_run_user_code async def _call_user_health_check(self): await self._call_func_or_gen(self._user_health_check) @@ -1554,6 +1675,11 @@ async def _call_user_record_routing_stats(self) -> Dict[str, Any]: result, _ = await self._call_func_or_gen(self._user_record_routing_stats) return result + @_run_user_code + async def _call_user_autoscaling_stats(self) -> Dict[str, Union[int, float]]: + result, _ = await self._call_func_or_gen(self._user_autoscaling_stats) + return result + @_run_user_code async def call_reconfigure(self, user_config: Any): self._raise_if_not_initialized("call_reconfigure") diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index 3a1cd3fde236..a0fc0acf9fd8 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -30,6 +30,28 @@ py_test_module_list( ], ) +# Custom metrics tests. +py_test_module_list( + size = "small", + env = { + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + "RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_INTERVAL_S": "2", + "RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S": "3", + }, + files = [ + "test_custom_autoscaling_metrics.py", + ], + tags = [ + "exclusive", + "team:serve", + ], + deps = [ + ":common", + ":conftest", + "//python/ray/serve:serve_lib", + ], +) + # Small tests. py_test_module_list( size = "small", diff --git a/python/ray/serve/tests/test_custom_autoscaling_metrics.py b/python/ray/serve/tests/test_custom_autoscaling_metrics.py new file mode 100644 index 000000000000..ce7b4f6836bb --- /dev/null +++ b/python/ray/serve/tests/test_custom_autoscaling_metrics.py @@ -0,0 +1,131 @@ +import asyncio +import sys +from typing import Dict + +import pytest + +import ray +from ray import serve +from ray._common.test_utils import wait_for_condition +from ray.serve._private.common import DeploymentID + + +def get_autoscaling_metrics_from_controller( + client, deployment_id: DeploymentID +) -> Dict[str, float]: + """Get autoscaling metrics from the controller for testing.""" + ref = client._controller._dump_all_autoscaling_metrics_for_testing.remote() + metrics = ray.get(ref) + return metrics.get(deployment_id, {}) + + +class TestCustomServeMetrics: + """Check that redeploying a deployment doesn't reset its start time.""" + + def test_custom_serve_metrics(self, serve_instance): + @serve.deployment( + autoscaling_config={ + "min_replicas": 1, + "max_replicas": 5, + "upscale_delay_s": 2, + "downscale_delay_s": 10, + "metrics_interval_s": 1, + } + ) + class DummyMetricIncrementer: + def __init__(self): + self.counter = 0 + + async def __call__(self) -> str: + self.counter += 1 + return "Hello, world" + + def record_autoscaling_stats(self) -> Dict[str, int]: + # Increments each time the deployment has been called + return {"counter": self.counter} + + app_name = "test_custom_metrics_app" + handle = serve.run( + DummyMetricIncrementer.bind(), name=app_name, route_prefix="/" + ) + dep_id = DeploymentID(name="DummyMetricIncrementer", app_name=app_name) + + # Call deployment 3 times + [handle.remote() for _ in range(3)] + + # Wait for controller to receive new metrics + wait_for_condition( + lambda: "counter" + in get_autoscaling_metrics_from_controller(serve_instance, dep_id), + timeout=15, + ) + metrics = get_autoscaling_metrics_from_controller(serve_instance, dep_id) + + # The final counter value recorded by the controller should be 3 + assert metrics["counter"][-1][0].value == 3 + + def test_custom_serve_timeout(self, serve_instance): + @serve.deployment( + autoscaling_config={ + "min_replicas": 1, + "max_replicas": 5, + "upscale_delay_s": 2, + "downscale_delay_s": 10, + "metrics_interval_s": 1, + } + ) + class DummyMetricTimeout: + def __init__(self): + self.counter = 0 + + async def __call__(self) -> str: + self.counter += 1 + return "Hello, world" + + async def record_autoscaling_stats(self) -> Dict[str, int]: + # Block here until it is forced to cancel due to timeout beyond RAY_SERVE_RECORD_AUTOSCALING_STATS_TIMEOUT_S + await asyncio.sleep(1000) + + app_name = "test_custom_metrics_app" + handle = serve.run(DummyMetricTimeout.bind(), name=app_name, route_prefix="/") + dep_id = DeploymentID(name="DummyMetricTimeout", app_name=app_name) + # Call deployment 3 times + [handle.remote() for _ in range(3)] + # There should be no counter metric because asyncio timeout would have stopped the method execution + metrics = get_autoscaling_metrics_from_controller(serve_instance, dep_id) + assert metrics.get("counter", None) is None + + def test_custom_serve_invalid_metric_type(self, serve_instance): + @serve.deployment( + autoscaling_config={ + "min_replicas": 1, + "max_replicas": 5, + "upscale_delay_s": 2, + "downscale_delay_s": 10, + "metrics_interval_s": 1, + } + ) + class DummyInvalidMetric: + def __init__(self): + self.counter = 0 + + async def __call__(self) -> str: + self.counter += 1 + return "Hello, world" + + def record_autoscaling_stats(self) -> Dict[str, str]: + # Return an invalid metric dict whose valuse are neither int nor float + return {"counter": "not_an_int"} + + app_name = "test_custom_metrics_app" + handle = serve.run(DummyInvalidMetric.bind(), name=app_name, route_prefix="/") + dep_id = DeploymentID(name="DummyInvalidMetric", app_name=app_name) + # Call deployment 3 times + [handle.remote() for _ in range(3)] + # There should be no counter metric because it failed validation, must be int or float + metrics = get_autoscaling_metrics_from_controller(serve_instance, dep_id) + assert metrics.get("counter", None) is None + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", "-s", __file__])) diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index 9bafe7b4f9b3..b8d402a31419 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -2923,7 +2923,7 @@ def test_basic_autoscaling( dsm.update() astate = asm._autoscaling_states[TEST_DEPLOYMENT_ID] - assert len(astate._replica_requests) == 0 + assert len(astate._replica_metrics) == 0 # status=HEALTHY, status_trigger=UPSCALE/DOWNSCALE dsm.update() From 05a9d6cd594370fa5e2f5c9b93f603100fb6f191 Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Thu, 18 Sep 2025 13:49:21 -0700 Subject: [PATCH 1279/1566] [Train] Enable debug logging; fix default actor_locality_enabled (#56632) - Enable RAY_DATA_DEBUG_RESOURCE_MANAGER for debugging resource manager. - Enable Ray Data progress bar. - Set actor_locality_enabled to True --------- Signed-off-by: Srinath Krishnamachari Signed-off-by: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 5 +++++ release/train_tests/benchmark/config.py | 4 ++-- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index aa4a13c0b22e..ba1021117407 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2176,6 +2176,11 @@ cluster: byod: + runtime_env: + # Enable verbose stats for resource manager + - RAY_DATA_DEBUG_RESOURCE_MANAGER=1 + + # 'type: gpu' means: use the 'ray-ml' image. type: gpu cluster_compute: compute_configs/compute_gpu_4x4_aws.yaml diff --git a/release/train_tests/benchmark/config.py b/release/train_tests/benchmark/config.py index b0686d8c4d23..3c4ac752ff85 100644 --- a/release/train_tests/benchmark/config.py +++ b/release/train_tests/benchmark/config.py @@ -41,11 +41,11 @@ class RecsysConfig(TaskConfig): class RayDataConfig(DataLoaderConfig): # NOTE: Optional[int] doesn't play well with argparse. local_buffer_shuffle_size: int = -1 - enable_operator_progress_bars: bool = False + enable_operator_progress_bars: bool = True ray_data_prefetch_batches: int = 4 ray_data_override_num_blocks: int = -1 locality_with_output: bool = False - actor_locality_enabled: bool = False + actor_locality_enabled: bool = True enable_shard_locality: bool = True preserve_order: bool = False ray_data_pin_memory: bool = False From e878397ab0223e6c09c2dad576d2eadd8329a873 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 18 Sep 2025 14:20:05 -0700 Subject: [PATCH 1280/1566] [ci] supports empty `RAYCI_BUILD_ID` for test container (#56621) getting closer to allowing running scripts locally Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/container.py | 4 +++- ci/ray_ci/test_linux_container.py | 2 +- ci/ray_ci/test_linux_tester_container.py | 4 ++-- ci/ray_ci/test_windows_container.py | 6 ++---- ci/ray_ci/test_windows_tester_container.py | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/ci/ray_ci/container.py b/ci/ray_ci/container.py index d8ec6a37a6bb..9f469d496ee6 100644 --- a/ci/ray_ci/container.py +++ b/ci/ray_ci/container.py @@ -40,7 +40,7 @@ "BUILDKITE_PIPELINE_ID", "BUILDKITE_PULL_REQUEST", ] -_RAYCI_BUILD_ID = os.environ.get("RAYCI_BUILD_ID", "unknown") +_RAYCI_BUILD_ID = os.environ.get("RAYCI_BUILD_ID", "") class Container(abc.ABC): @@ -82,6 +82,8 @@ def _get_docker_image(self) -> str: """ Get docker image for a particular commit """ + if not _RAYCI_BUILD_ID: + return f"{_DOCKER_ECR_REPO}:{self.docker_tag}" return f"{_DOCKER_ECR_REPO}:{_RAYCI_BUILD_ID}-{self.docker_tag}" @abc.abstractmethod diff --git a/ci/ray_ci/test_linux_container.py b/ci/ray_ci/test_linux_container.py index 3e6e32e1bba3..b12b5414f2c0 100644 --- a/ci/ray_ci/test_linux_container.py +++ b/ci/ray_ci/test_linux_container.py @@ -8,7 +8,7 @@ def test_get_docker_image() -> None: assert ( LinuxContainer("test")._get_docker_image() - == "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:unknown-test" + == "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:test" ) diff --git a/ci/ray_ci/test_linux_tester_container.py b/ci/ray_ci/test_linux_tester_container.py index bf2003bff15e..ea51340a09f9 100644 --- a/ci/ray_ci/test_linux_tester_container.py +++ b/ci/ray_ci/test_linux_tester_container.py @@ -9,7 +9,7 @@ import pytest from ray_release.configs.global_config import get_global_config -from ci.ray_ci.container import _DOCKER_ECR_REPO, _RAYCI_BUILD_ID +from ci.ray_ci.container import _DOCKER_ECR_REPO from ci.ray_ci.linux_tester_container import LinuxTesterContainer from ci.ray_ci.tester_container import RUN_PER_FLAKY_TEST from ci.ray_ci.utils import chunk_into_n, ci_init @@ -165,7 +165,7 @@ def _mock_subprocess(inputs: List[str], env, stdout, stderr) -> None: with mock.patch("subprocess.check_call", side_effect=_mock_subprocess): LinuxTesterContainer("team", build_type="debug") - docker_image = f"{_DOCKER_ECR_REPO}:{_RAYCI_BUILD_ID}-team" + docker_image = f"{_DOCKER_ECR_REPO}:team" assert install_ray_cmds[-1] == [ "docker", "build", diff --git a/ci/ray_ci/test_windows_container.py b/ci/ray_ci/test_windows_container.py index d7527b97b234..f6f64c55938f 100644 --- a/ci/ray_ci/test_windows_container.py +++ b/ci/ray_ci/test_windows_container.py @@ -25,9 +25,7 @@ def _mock_subprocess(inputs: List[str], stdout, stderr) -> None: }, ): WindowsContainer("hi").install_ray() - image = ( - "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:unknown-hi" - ) + image = "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:hi" assert install_ray_cmds[-1] == [ "docker", "build", @@ -66,7 +64,7 @@ def test_get_run_command() -> None: "/hi:/hello", "--workdir", "C:\\rayci", - "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:unknown-test", + "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:test", "bash", "-c", "hi\nhello", diff --git a/ci/ray_ci/test_windows_tester_container.py b/ci/ray_ci/test_windows_tester_container.py index 753ffd373d6c..73bb93468b79 100644 --- a/ci/ray_ci/test_windows_tester_container.py +++ b/ci/ray_ci/test_windows_tester_container.py @@ -16,7 +16,7 @@ def _mock_subprocess(inputs: List[str], stdout, stderr) -> None: "docker", "build", "-t", - "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:unknown-hi", + "029272617770.dkr.ecr.us-west-2.amazonaws.com/rayproject/citemp:hi", "-f", "c:\\workdir\\ci\\ray_ci\\windows\\tests.env.Dockerfile", "c:\\workdir", From 7256c739860904d8e220f2c940a485da4a440042 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 18 Sep 2025 14:27:00 -0700 Subject: [PATCH 1281/1566] [core] Make Core Worker Pub Sub RPCs Fault Tolerant (#56436) Making core worker pubsub fault tolerant. Added cpp tests to verify idempotency. --------- Signed-off-by: joshlee Co-authored-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/tests/test_multi_node.py | 4 +- python/ray/tests/test_object_assign_owner.py | 14 +- python/ray/tests/test_object_manager.py | 2 + python/ray/tests/test_object_spilling_2.py | 2 + python/ray/tests/test_reference_counting.py | 8 +- python/ray/tests/test_reference_counting_2.py | 2 + .../test_reference_counting_standalone.py | 2 + src/fakes/ray/pubsub/subscriber.h | 4 +- src/mock/ray/rpc/worker/core_worker_client.h | 4 +- src/ray/core_worker/tests/core_worker_test.cc | 328 +++++++++++++++++- src/ray/gcs_client/gcs_client.cc | 64 ++-- .../ownership_object_directory.cc | 10 +- src/ray/protobuf/core_worker.proto | 11 +- src/ray/pubsub/README.md | 2 - src/ray/pubsub/publisher.h | 4 +- src/ray/pubsub/subscriber.cc | 22 +- src/ray/pubsub/subscriber_interface.h | 4 +- .../pubsub/tests/pubsub_integration_test.cc | 4 +- src/ray/pubsub/tests/subscriber_test.cc | 4 +- src/ray/raylet/local_object_manager.cc | 12 +- src/ray/rpc/worker/core_worker_client.h | 34 +- 21 files changed, 435 insertions(+), 106 deletions(-) diff --git a/python/ray/tests/test_multi_node.py b/python/ray/tests/test_multi_node.py index a687c1f2290a..aa7790e96079 100644 --- a/python/ray/tests/test_multi_node.py +++ b/python/ray/tests/test_multi_node.py @@ -22,7 +22,9 @@ "call_ray_start", [ "ray start --head --num-cpus=1 --min-worker-port=0 " - "--max-worker-port=0 --port 0", + "--max-worker-port=0 --port 0 --system-config " + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_EVICTION sooner + '{"core_worker_rpc_server_reconnect_timeout_s":0}', ], indirect=True, ) diff --git a/python/ray/tests/test_object_assign_owner.py b/python/ray/tests/test_object_assign_owner.py index af39e5e65ae4..5ca48f50edcc 100644 --- a/python/ray/tests/test_object_assign_owner.py +++ b/python/ray/tests/test_object_assign_owner.py @@ -47,9 +47,17 @@ def f(self): ], ) def test_owner_assign_when_put(ray_start_cluster, actor_resources): - cluster_node_config = [ - {"num_cpus": 1, "resources": {f"node{i+1}": 10}} for i in range(3) - ] + system_config = { + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_LOCATIONS sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, + "grpc_client_check_connection_status_interval_milliseconds": 0, + } + cluster_node_config = [] + for i in range(3): + config = {"num_cpus": 1, "resources": {f"node{i+1}": 10}} + if i == 0: # Add system_config only to the first node (head node) + config["_system_config"] = system_config + cluster_node_config.append(config) cluster = ray_start_cluster for kwargs in cluster_node_config: cluster.add_node(**kwargs) diff --git a/python/ray/tests/test_object_manager.py b/python/ray/tests/test_object_manager.py index e4b99f94bd0c..b6119be1182c 100644 --- a/python/ray/tests/test_object_manager.py +++ b/python/ray/tests/test_object_manager.py @@ -541,6 +541,8 @@ def test_object_directory_failure(ray_start_cluster): "object_timeout_milliseconds": 200, # Required for reducing the retry time of RequestWorkerLease "raylet_rpc_server_reconnect_timeout_s": 0, + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_LOCATIONS sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, } # Add a head node. diff --git a/python/ray/tests/test_object_spilling_2.py b/python/ray/tests/test_object_spilling_2.py index c44404f03e5e..939b22380378 100644 --- a/python/ray/tests/test_object_spilling_2.py +++ b/python/ray/tests/test_object_spilling_2.py @@ -211,6 +211,8 @@ def test_delete_objects_multi_node( "automatic_object_spilling_enabled": True, "object_store_full_delay_ms": 100, "object_spilling_config": object_spilling_config, + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_EVICTION sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, }, ) ray.init(address=cluster.address) diff --git a/python/ray/tests/test_reference_counting.py b/python/ray/tests/test_reference_counting.py index 031c42d51e73..fb29d20f7930 100644 --- a/python/ray/tests/test_reference_counting.py +++ b/python/ray/tests/test_reference_counting.py @@ -35,7 +35,13 @@ def check_refcounts_empty(): @pytest.fixture(scope="module") def one_cpu_100MiB_shared(): # It has lots of tests that don't require object spilling. - config = {"task_retry_delay_ms": 0, "automatic_object_spilling_enabled": False} + config = { + "task_retry_delay_ms": 0, + "automatic_object_spilling_enabled": False, + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_EVICTION sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, + "grpc_client_check_connection_status_interval_milliseconds": 0, + } yield ray.init( num_cpus=1, object_store_memory=100 * 1024 * 1024, _system_config=config ) diff --git a/python/ray/tests/test_reference_counting_2.py b/python/ray/tests/test_reference_counting_2.py index e3658c8d488d..a0fea802677e 100644 --- a/python/ray/tests/test_reference_counting_2.py +++ b/python/ray/tests/test_reference_counting_2.py @@ -37,6 +37,8 @@ def one_cpu_100MiB_shared(): "task_retry_delay_ms": 0, "object_timeout_milliseconds": 1000, "automatic_object_spilling_enabled": False, + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_EVICTION sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, } yield ray.init( num_cpus=1, object_store_memory=100 * 1024 * 1024, _system_config=config diff --git a/python/ray/tests/test_reference_counting_standalone.py b/python/ray/tests/test_reference_counting_standalone.py index cb3ced7bb9e2..c142664b63e5 100644 --- a/python/ray/tests/test_reference_counting_standalone.py +++ b/python/ray/tests/test_reference_counting_standalone.py @@ -53,6 +53,8 @@ def test_object_unpin(ray_start_cluster): "health_check_initial_delay_ms": 0, "health_check_period_ms": 1000, "health_check_failure_threshold": 5, + # Required for reducing the retry time of PubsubLongPolling and to trigger the failure callback for WORKER_OBJECT_EVICTION sooner + "core_worker_rpc_server_reconnect_timeout_s": 0, }, ) ray.init(address=cluster.address) diff --git a/src/fakes/ray/pubsub/subscriber.h b/src/fakes/ray/pubsub/subscriber.h index b0afd5dd03fc..ad80dc0cdb50 100644 --- a/src/fakes/ray/pubsub/subscriber.h +++ b/src/fakes/ray/pubsub/subscriber.h @@ -22,11 +22,11 @@ namespace pubsub { class FakeSubscriberClient : public SubscriberClientInterface { public: void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingRequest &&request, const rpc::ClientCallback &callback) override {} void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, + rpc::PubsubCommandBatchRequest &&request, const rpc::ClientCallback &callback) override {} }; diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index 26aed0495833..868c48c65b89 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -57,12 +57,12 @@ class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { (override)); MOCK_METHOD(void, PubsubLongPolling, - (const PubsubLongPollingRequest &request, + (PubsubLongPollingRequest && request, const ClientCallback &callback), (override)); MOCK_METHOD(void, PubsubCommandBatch, - (const PubsubCommandBatchRequest &request, + (PubsubCommandBatchRequest && request, const ClientCallback &callback), (override)); MOCK_METHOD(void, diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index a972d19a47a5..c6abd3ea1d8f 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -25,9 +25,9 @@ #include #include "absl/container/flat_hash_set.h" +#include "absl/time/clock.h" #include "fakes/ray/common/asio/fake_periodical_runner.h" #include "fakes/ray/object_manager/plasma/fake_plasma_client.h" -#include "fakes/ray/pubsub/publisher.h" #include "fakes/ray/pubsub/subscriber.h" #include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/gcs_client/gcs_client.h" @@ -48,6 +48,7 @@ #include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/ipc/fake_raylet_ipc_client.h" #include "ray/observability/fake_metric.h" +#include "ray/pubsub/publisher.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { @@ -61,7 +62,8 @@ class CoreWorkerTest : public ::testing::Test { public: CoreWorkerTest() : io_work_(io_service_.get_executor()), - task_execution_service_work_(task_execution_service_.get_executor()) { + task_execution_service_work_(task_execution_service_.get_executor()), + current_time_ms_(0.0) { CoreWorkerOptions options; options.worker_type = WorkerType::WORKER; options.language = Language::PYTHON; @@ -125,12 +127,26 @@ class CoreWorkerTest : public ::testing::Test { rpc_address_.set_node_id(NodeID::FromRandom().Binary()); rpc_address_.set_worker_id(worker_context->GetWorkerID().Binary()); - auto fake_object_info_publisher = std::make_unique(); + fake_periodical_runner_ = std::make_unique(); + + auto object_info_publisher = std::make_unique( + /*channels=*/ + std::vector{rpc::ChannelType::WORKER_OBJECT_EVICTION, + rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL, + rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL}, + /*periodical_runner=*/*fake_periodical_runner_, + /*get_time_ms=*/[this]() { return current_time_ms_; }, + /*subscriber_timeout_ms=*/RayConfig::instance().subscriber_timeout_ms(), + /*publish_batch_size_=*/RayConfig::instance().publish_batch_size(), + worker_context->GetWorkerID()); + + object_info_publisher_ = object_info_publisher.get(); + auto fake_object_info_subscriber = std::make_unique(); reference_counter_ = std::make_shared( rpc_address_, - fake_object_info_publisher.get(), + object_info_publisher.get(), fake_object_info_subscriber.get(), [](const NodeID &) { return false; }, false); @@ -245,7 +261,7 @@ class CoreWorkerTest : public ::testing::Test { task_manager_, std::move(actor_creator), std::move(actor_task_submitter), - std::move(fake_object_info_publisher), + std::move(object_info_publisher), std::move(fake_object_info_subscriber), std::move(lease_request_rate_limiter), std::move(normal_task_submitter), @@ -270,9 +286,14 @@ class CoreWorkerTest : public ::testing::Test { std::shared_ptr reference_counter_; std::shared_ptr memory_store_; ActorTaskSubmitter *actor_task_submitter_; + pubsub::Publisher *object_info_publisher_; std::shared_ptr task_manager_; std::shared_ptr core_worker_; ray::observability::FakeMetric fake_task_by_state_counter_; + std::unique_ptr fake_periodical_runner_; + + // Controllable time for testing publisher timeouts + double current_time_ms_; }; std::shared_ptr MakeRayObject(const std::string &data_str, @@ -534,9 +555,7 @@ ObjectID CreateInlineObjectInMemoryStoreAndRefCounter(CoreWorkerMemoryStore &mem memory_store.Put(memory_store_object, inlined_dependency_id); return inlined_dependency_id; } - } // namespace - TEST_F(CoreWorkerTest, ActorTaskCancelDuringDepResolution) { /* See https://github.com/ray-project/ray/pull/56123 for context. @@ -641,5 +660,300 @@ TEST(BatchingPassesTwoTwoOneIntoPlasmaGet, CallsPlasmaGetInCorrectBatches) { EXPECT_EQ(observed_batches[2].size(), 1U); } +class CoreWorkerPubsubWorkerObjectEvictionChannelTest + : public CoreWorkerTest, + public ::testing::WithParamInterface {}; + +TEST_P(CoreWorkerPubsubWorkerObjectEvictionChannelTest, HandlePubsubCommandBatchRetries) { + // should_free_object: determines whether the object is freed from plasma. This is used + // to trigger AddObjectOutOfScopeOrFreedCallback in HandlePubsubCommandBatch which + // stores the unpin_object callback that publishes the message to the + // WORKER_OBJECT_EVICTION channel + // should_free_object == true: the object is freed from plasma and we expect the message + // to the WORKER_OBJECT_EVICTION channel to be published. + // should_free_object == false: the object is not freed and we expect the message to the + // WORKER_OBJECT_EVICTION channel to not be published. + bool should_free_object = GetParam(); + + auto subscriber_id = NodeID::FromRandom(); + auto object_id = ObjectID::FromRandom(); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + rpc::PubsubCommandBatchRequest command_batch_request; + command_batch_request.set_subscriber_id(subscriber_id.Binary()); + auto *command = command_batch_request.add_commands(); + command->set_channel_type(rpc::ChannelType::WORKER_OBJECT_EVICTION); + command->set_key_id(object_id.Binary()); + auto *sub_message = command->mutable_subscribe_message(); + auto *real_sub_message = sub_message->mutable_worker_object_eviction_message(); + real_sub_message->set_intended_worker_id(core_worker_->GetWorkerID().Binary()); + real_sub_message->set_object_id(object_id.Binary()); + *real_sub_message->mutable_subscriber_address() = rpc_address_; + + rpc::PubsubCommandBatchReply command_reply1; + rpc::PubsubCommandBatchReply command_reply2; + // Each call to HandlePubsubCommandBatch causes the reference counter to store the + // unpin_object callback that publishes the WORKER_OBJECT_EVICTION message + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply1, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply2, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + + if (should_free_object) { + // Triggers the unpin_object callbacks that publish the message to the + // WORKER_OBJECT_EVICTION channel + reference_counter_->FreePlasmaObjects({object_id}); + } + + rpc::PubsubLongPollingRequest request; + request.set_subscriber_id(subscriber_id.Binary()); + request.set_max_processed_sequence_id(0); + request.set_publisher_id(""); + + rpc::PubsubLongPollingReply reply; + + // should_free_object == true: Each call to HandlePubsubCommandBatch adds an + // unpin_object callback that is triggered via FreePlasmaObjects which publishes the + // message to the WORKER_OBJECT_EVICTION channel, hence we have 1 publish per callback + // so 2 in total. The long poll connection is closed + // should_free_object == false: Since FreePlasmaObjects is not called, the unpin_object + // callbacks are not triggered and we have 0 publishes. NOTE: The long poll connection + // is not closed when should_free_object == false since there was no publish. + core_worker_->HandlePubsubLongPolling( + request, + &reply, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + + int expected_messages = should_free_object ? 2 : 0; + EXPECT_EQ(reply.pub_messages_size(), expected_messages); + + for (int i = 0; i < expected_messages; i++) { + const auto &msg = reply.pub_messages(i); + EXPECT_EQ(msg.channel_type(), rpc::ChannelType::WORKER_OBJECT_EVICTION); + EXPECT_EQ(msg.key_id(), object_id.Binary()); + EXPECT_EQ(msg.sequence_id(), i + 1); + EXPECT_EQ(msg.worker_object_eviction_message().object_id(), object_id.Binary()); + } + + if (!should_free_object) { + // Since the long poll connection is not closed, we need to flush it. Otherwise this + // can trigger undefined behavior since unlike in prod where grpc arena allocates the + // reply, here we allocate the reply on the stack. Hence the normal order of + // destruction is: reply goes out of scope -> publisher is destructed -> flushes the + // reply which access freed memory + current_time_ms_ += RayConfig::instance().subscriber_timeout_ms(); + object_info_publisher_->CheckDeadSubscribers(); + } +} + +INSTANTIATE_TEST_SUITE_P(WorkerObjectEvictionChannel, + CoreWorkerPubsubWorkerObjectEvictionChannelTest, + ::testing::Values(true, false)); + +class CoreWorkerPubsubWorkerRefRemovedChannelTest + : public CoreWorkerTest, + public ::testing::WithParamInterface {}; + +TEST_P(CoreWorkerPubsubWorkerRefRemovedChannelTest, HandlePubsubCommandBatchRetries) { + // should_remove_ref: determines whether the object ref is removed from the reference + // counter. This is used to trigger RemoveLocalReference in HandlePubsubCommandBatch + // which flips the publish_ref_removed flag to true. Once the ref is removed via + // RemoveLocalReference, the message to the WORKER_REF_REMOVED channel is published + // should_remove_ref == true: the object ref is removed from the reference counter and + // we expect the message to the WORKER_REF_REMOVED channel to be published. + // should_remove_ref == false: the object ref is not removed from the reference counter + // and we expect the message to the WORKER_REF_REMOVED channel to not be published. + bool should_remove_ref = GetParam(); + + auto subscriber_id = NodeID::FromRandom(); + auto object_id = ObjectID::FromRandom(); + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject(object_id, {}, owner_address, "", 0, false, true); + + rpc::PubsubCommandBatchRequest command_batch_request; + command_batch_request.set_subscriber_id(subscriber_id.Binary()); + auto *command = command_batch_request.add_commands(); + command->set_channel_type(rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL); + command->set_key_id(object_id.Binary()); + auto *sub_message = command->mutable_subscribe_message(); + auto *real_sub_message = sub_message->mutable_worker_ref_removed_message(); + real_sub_message->set_intended_worker_id(core_worker_->GetWorkerID().Binary()); + real_sub_message->mutable_reference()->set_object_id(object_id.Binary()); + real_sub_message->set_contained_in_id(ObjectID::FromRandom().Binary()); + real_sub_message->set_subscriber_worker_id(core_worker_->GetWorkerID().Binary()); + + rpc::PubsubCommandBatchReply command_reply1; + rpc::PubsubCommandBatchReply command_reply2; + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply1, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + // NOTE: unlike in the worker object eviction channel test, the second call to + // HandlePubsubComandBatch does not store a unique callback and just turns on + // publish_ref_removed which is already true + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply2, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + + if (should_remove_ref) { + // This will check the publish_ref_removed flag and publish one + // message to the WORKER_REF_REMOVED channel + reference_counter_->RemoveLocalReference(object_id, nullptr); + } + + rpc::PubsubLongPollingRequest request; + request.set_subscriber_id(subscriber_id.Binary()); + request.set_max_processed_sequence_id(0); + request.set_publisher_id(""); + + rpc::PubsubLongPollingReply reply; + + // should_remove_ref == true: each call to HandlePubsubCommandBatch modifies the + // publish_ref_removed flag and RemoveLocalReference triggers one single publish + // should_remove_ref == false: since RemoveLocalReference is not called, the ref remains + // in scope and no publish is triggered + core_worker_->HandlePubsubLongPolling( + request, + &reply, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + + int expected_messages = should_remove_ref ? 1 : 0; + EXPECT_EQ(reply.pub_messages_size(), expected_messages); + + if (should_remove_ref) { + const auto &msg1 = reply.pub_messages(0); + EXPECT_EQ(msg1.channel_type(), rpc::ChannelType::WORKER_REF_REMOVED_CHANNEL); + EXPECT_EQ(msg1.key_id(), object_id.Binary()); + EXPECT_EQ(msg1.sequence_id(), 1); + EXPECT_EQ(msg1.worker_ref_removed_message().borrowed_refs_size(), 0); + } + if (!should_remove_ref) { + // See the above comment in the worker object eviction channel test + current_time_ms_ += RayConfig::instance().subscriber_timeout_ms(); + object_info_publisher_->CheckDeadSubscribers(); + } +} + +INSTANTIATE_TEST_SUITE_P(WorkerRefRemovedChannel, + CoreWorkerPubsubWorkerRefRemovedChannelTest, + ::testing::Values(true, false)); + +TEST_F(CoreWorkerTest, HandlePubsubWorkerObjectLocationsChannelRetries) { + // Unlike the other pubsub channel tests, this test starts off with a LongPollingRequest + // to test what happens when a HandlePubsubCommandBatch encounters an open long poll + // connection + auto subscriber_id = NodeID::FromRandom(); + auto object_id = ObjectID::FromRandom(); + auto node_id = NodeID::FromRandom(); + const uint64_t object_size = 1024; + + rpc::Address owner_address; + owner_address.set_worker_id(core_worker_->GetWorkerID().Binary()); + reference_counter_->AddOwnedObject( + object_id, {}, owner_address, "", object_size, false, true); + // NOTE: this triggers a publish to no subscribers so its not stored in any mailbox but + // bumps the sequence id by 1 + reference_counter_->AddObjectLocation(object_id, node_id); + + rpc::PubsubLongPollingRequest request; + request.set_subscriber_id(subscriber_id.Binary()); + request.set_max_processed_sequence_id(0); + request.set_publisher_id(""); + + rpc::PubsubLongPollingReply long_polling_reply1; + core_worker_->HandlePubsubLongPolling( + request, + &long_polling_reply1, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + + rpc::PubsubCommandBatchRequest command_batch_request; + command_batch_request.set_subscriber_id(subscriber_id.Binary()); + auto *command = command_batch_request.add_commands(); + command->set_channel_type(rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL); + command->set_key_id(object_id.Binary()); + auto *sub_message = command->mutable_subscribe_message(); + auto *real_sub_message = sub_message->mutable_worker_object_locations_message(); + real_sub_message->set_intended_worker_id(core_worker_->GetWorkerID().Binary()); + real_sub_message->set_object_id(object_id.Binary()); + + // The first call to HandlePubsubCommandBatch publishes the object location. The + // publisher stores the first snapshot in the mailbox, sends it to the subscriber, and + // closes the long poll connection. + rpc::PubsubCommandBatchReply command_reply1; + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply1, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + + // The second call to HandlePubsubCommandBatch publishes the object location. The + // publisher stores the second snapshot in the mailbox. + rpc::PubsubCommandBatchReply command_reply2; + core_worker_->HandlePubsubCommandBatch( + command_batch_request, + &command_reply2, + [](const Status &status, std::function, std::function) { + ASSERT_TRUE(status.ok()); + }); + + // Since the max_processed_sequence_id is 0, the publisher sends the second AND first + // snapshot of the object location. The first snapshot is not erased until it gets a + // long poll request with a max_processed_sequence_id greater or equal to the first + // snapshot's sequence id. + rpc::PubsubLongPollingReply long_polling_reply2; + core_worker_->HandlePubsubLongPolling( + request, + &long_polling_reply2, + [](Status s, std::function success, std::function failure) { + ASSERT_TRUE(s.ok()); + }); + + EXPECT_EQ(long_polling_reply1.pub_messages_size(), 1); + EXPECT_EQ(long_polling_reply2.pub_messages_size(), 2); + + auto CheckMessage = [&](const rpc::PubMessage &msg, int i) { + EXPECT_EQ(msg.channel_type(), rpc::ChannelType::WORKER_OBJECT_LOCATIONS_CHANNEL); + EXPECT_EQ(msg.key_id(), object_id.Binary()); + EXPECT_EQ(msg.worker_object_locations_message().node_ids_size(), 1); + EXPECT_EQ(msg.worker_object_locations_message().object_size(), object_size); + EXPECT_EQ(msg.worker_object_locations_message().node_ids(0), node_id.Binary()); + // AddObjectLocation triggers a publish so the sequence id is bumped by 1 + EXPECT_EQ(msg.sequence_id(), i + 2); + }; + for (int i = 0; i < 2; i++) { + if (i == 0) { + const auto &msg = long_polling_reply1.pub_messages(i); + CheckMessage(msg, i); + } + const auto &msg = long_polling_reply2.pub_messages(i); + CheckMessage(msg, i); + } +} + } // namespace core } // namespace ray diff --git a/src/ray/gcs_client/gcs_client.cc b/src/ray/gcs_client/gcs_client.cc index 7d1d9e9bf6f3..1b363b3ee626 100644 --- a/src/ray/gcs_client/gcs_client.cc +++ b/src/ray/gcs_client/gcs_client.cc @@ -39,49 +39,41 @@ class GcsSubscriberClient final : public pubsub::SubscriberClientInterface { : rpc_client_(rpc_client) {} void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, - const rpc::ClientCallback &callback) final; + rpc::PubsubLongPollingRequest &&request, + const rpc::ClientCallback &callback) final { + rpc::GcsSubscriberPollRequest req; + req.set_subscriber_id(std::move(*request.mutable_subscriber_id())); + req.set_max_processed_sequence_id(request.max_processed_sequence_id()); + req.set_publisher_id(std::move(*request.mutable_publisher_id())); + rpc_client_->GcsSubscriberPoll( + std::move(req), + [callback](const Status &status, rpc::GcsSubscriberPollReply &&poll_reply) { + rpc::PubsubLongPollingReply reply; + reply.mutable_pub_messages()->Swap(poll_reply.mutable_pub_messages()); + *reply.mutable_publisher_id() = std::move(*poll_reply.mutable_publisher_id()); + callback(status, std::move(reply)); + }); + } void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, - const rpc::ClientCallback &callback) final; + rpc::PubsubCommandBatchRequest &&request, + const rpc::ClientCallback &callback) final { + rpc::GcsSubscriberCommandBatchRequest req; + req.set_subscriber_id(std::move(*request.mutable_subscriber_id())); + *req.mutable_commands() = std::move(*request.mutable_commands()); + rpc_client_->GcsSubscriberCommandBatch( + std::move(req), + [callback](const Status &status, + rpc::GcsSubscriberCommandBatchReply &&batch_reply) { + rpc::PubsubCommandBatchReply reply; + callback(status, std::move(reply)); + }); + } private: const std::shared_ptr rpc_client_; }; -void GcsSubscriberClient::PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, - const rpc::ClientCallback &callback) { - rpc::GcsSubscriberPollRequest req; - req.set_subscriber_id(request.subscriber_id()); - req.set_max_processed_sequence_id(request.max_processed_sequence_id()); - req.set_publisher_id(request.publisher_id()); - rpc_client_->GcsSubscriberPoll( - std::move(req), - [callback](const Status &status, rpc::GcsSubscriberPollReply &&poll_reply) { - rpc::PubsubLongPollingReply reply; - reply.mutable_pub_messages()->Swap(poll_reply.mutable_pub_messages()); - *reply.mutable_publisher_id() = std::move(*poll_reply.mutable_publisher_id()); - callback(status, std::move(reply)); - }); -} - -void GcsSubscriberClient::PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, - const rpc::ClientCallback &callback) { - rpc::GcsSubscriberCommandBatchRequest req; - req.set_subscriber_id(request.subscriber_id()); - *req.mutable_commands() = request.commands(); - rpc_client_->GcsSubscriberCommandBatch( - std::move(req), - [callback](const Status &status, - rpc::GcsSubscriberCommandBatchReply &&batch_reply) { - rpc::PubsubCommandBatchReply reply; - callback(status, std::move(reply)); - }); -} - } // namespace bool GcsClientOptions::ShouldFetchClusterId(ClusterID cluster_id, diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 431bd14095a2..1d88c43fa20b 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -329,10 +329,10 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( const OnLocationsFound &callback) { auto it = listeners_.find(object_id); if (it == listeners_.end()) { - // Create an object eviction subscription message. - auto request = std::make_unique(); - request->set_intended_worker_id(owner_address.worker_id()); - request->set_object_id(object_id.Binary()); + // Create an object location subscription message. + rpc::WorkerObjectLocationsSubMessage request; + request.set_intended_worker_id(owner_address.worker_id()); + request.set_object_id(object_id.Binary()); auto msg_published_callback = [this, object_id](const rpc::PubMessage &pub_message) { RAY_CHECK(pub_message.has_worker_object_locations_message()); @@ -368,7 +368,7 @@ ray::Status OwnershipBasedObjectDirectory::SubscribeObjectLocations( }; auto sub_message = std::make_unique(); - sub_message->mutable_worker_object_locations_message()->Swap(request.get()); + *sub_message->mutable_worker_object_locations_message() = std::move(request); object_location_subscriber_->Subscribe( std::move(sub_message), diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index 401d1fc7a424..dcfdd3e5a96b 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -500,11 +500,10 @@ service CoreWorkerService { rpc WaitForActorRefDeleted(WaitForActorRefDeletedRequest) returns (WaitForActorRefDeletedReply); - /// The long polling request sent to the core worker for pubsub operations. - /// It is replied once there are batch of objects that need to be published to - /// the caller (subscriber). - /// Failure: Pubsub system handles failures. TODO: all clients need subscribe failure - /// callbacks + // The long polling request sent to the core worker for pubsub operations. + // It is replied once there are batch of objects that need to be published to + // the caller (subscriber). + // Failure: Retries on failures, see pubsub/README.md for more details. rpc PubsubLongPolling(PubsubLongPollingRequest) returns (PubsubLongPollingReply); // The RPC to report the intermediate task return from the executor worker to the owner @@ -515,7 +514,7 @@ service CoreWorkerService { // The pubsub command batch request used by the subscriber. // Subscribe / unsubscribe commands to the publisher worker. - // Failure: TODO: Does not handle failures. + // Failure: Retries on failures, see pubsub/README.md for more details. rpc PubsubCommandBatch(PubsubCommandBatchRequest) returns (PubsubCommandBatchReply); // Update the batched object location information to the ownership-based object diff --git a/src/ray/pubsub/README.md b/src/ray/pubsub/README.md index fd791fd1cddb..37f73e56393f 100644 --- a/src/ray/pubsub/README.md +++ b/src/ray/pubsub/README.md @@ -138,8 +138,6 @@ Note that this section ignores fault tolerance. Both pubsub RPC's will be retried by the client on transient network failures using the retryable grpc client used by other RPC's throughout. -TODO(dayshah): Only the GCS client currently retries the requests, the core worker clients will in the future. - Subscribing and unsubscribing are idempotent so the `PubsubCommandBatchRequest` can be resent. Since we restrict it to one in-flight request, the commands will be ordered even with retries. diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index 9657fab90309..dd6884612c8e 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -255,7 +255,7 @@ class Publisher : public PublisherInterface { /// Check out CheckDeadSubscribers for more details. /// \param publish_batch_size The batch size of published messages. Publisher(const std::vector &channels, - PeriodicalRunner &periodical_runner, + PeriodicalRunnerInterface &periodical_runner, std::function get_time_ms, const uint64_t subscriber_timeout_ms, int64_t publish_batch_size, @@ -352,7 +352,7 @@ class Publisher : public PublisherInterface { // Periodic runner to invoke CheckDeadSubscribers. // The pointer must outlive the Publisher. // Nonnull in production, may be nullptr in tests. - PeriodicalRunner *periodical_runner_; + PeriodicalRunnerInterface *periodical_runner_; /// Callback to get the current time. std::function get_time_ms_; diff --git a/src/ray/pubsub/subscriber.cc b/src/ray/pubsub/subscriber.cc index 792cf9fd403a..078f3eac405c 100644 --- a/src/ray/pubsub/subscriber.cc +++ b/src/ray/pubsub/subscriber.cc @@ -305,11 +305,12 @@ void Subscriber::MakeLongPollingPubsubConnection(const rpc::Address &publisher_a auto subscriber_client = get_client_(publisher_address); rpc::PubsubLongPollingRequest long_polling_request; long_polling_request.set_subscriber_id(subscriber_id_.Binary()); - auto &processed_state = processed_sequences_[publisher_id]; - long_polling_request.set_publisher_id(processed_state.first.Binary()); - long_polling_request.set_max_processed_sequence_id(processed_state.second); + auto &[last_publisher_id, max_processed_sequence_id] = + processed_sequences_[publisher_id]; + long_polling_request.set_publisher_id(last_publisher_id.Binary()); + long_polling_request.set_max_processed_sequence_id(max_processed_sequence_id); subscriber_client->PubsubLongPolling( - long_polling_request, + std::move(long_polling_request), [this, publisher_address](const Status &status, rpc::PubsubLongPollingReply &&reply) { absl::MutexLock lock(&mutex_); @@ -337,16 +338,15 @@ void Subscriber::HandleLongPollingResponse(const rpc::Address &publisher_address } else { RAY_CHECK(!reply.publisher_id().empty()) << "publisher_id is empty."; auto reply_publisher_id = UniqueID::FromBinary(reply.publisher_id()); - if (reply_publisher_id != processed_sequences_[publisher_id].first) { - if (processed_sequences_[publisher_id].first != kDefaultUniqueID) { + const auto &last_publisher_id = processed_sequences_[publisher_id].first; + if (reply_publisher_id != last_publisher_id) { + if (last_publisher_id != kDefaultUniqueID) { RAY_LOG(INFO) << "Received publisher_id " << reply_publisher_id.Hex() - << " is different from last seen publisher_id " - << processed_sequences_[publisher_id].first + << " is different from last seen publisher_id " << last_publisher_id << ", this can only happen when gcs failsover."; } // reset publisher_id and processed_sequence if the publisher_id changes. - processed_sequences_[publisher_id].first = reply_publisher_id; - processed_sequences_[publisher_id].second = 0; + processed_sequences_[publisher_id] = {reply_publisher_id, 0}; } for (int i = 0; i < reply.pub_messages_size(); i++) { @@ -428,7 +428,7 @@ void Subscriber::SendCommandBatchIfPossible(const rpc::Address &publisher_addres command_batch_sent_.emplace(publisher_id); auto subscriber_client = get_client_(publisher_address); subscriber_client->PubsubCommandBatch( - command_batch_request, + std::move(command_batch_request), [this, publisher_address, publisher_id, done_cb = std::move(done_cb)]( Status status, const rpc::PubsubCommandBatchReply &reply) { { diff --git a/src/ray/pubsub/subscriber_interface.h b/src/ray/pubsub/subscriber_interface.h index 86db9130410e..4ed434da064a 100644 --- a/src/ray/pubsub/subscriber_interface.h +++ b/src/ray/pubsub/subscriber_interface.h @@ -97,12 +97,12 @@ class SubscriberClientInterface { public: /// Send a long polling request to a publisher. virtual void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingRequest &&request, const rpc::ClientCallback &callback) = 0; /// Send a pubsub command batch to a publisher. virtual void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, + rpc::PubsubCommandBatchRequest &&request, const rpc::ClientCallback &callback) = 0; virtual ~SubscriberClientInterface() = default; diff --git a/src/ray/pubsub/tests/pubsub_integration_test.cc b/src/ray/pubsub/tests/pubsub_integration_test.cc index 4f88012c91d1..9514ff6e8b86 100644 --- a/src/ray/pubsub/tests/pubsub_integration_test.cc +++ b/src/ray/pubsub/tests/pubsub_integration_test.cc @@ -107,7 +107,7 @@ class CallbackSubscriberClient final : public pubsub::SubscriberClientInterface ~CallbackSubscriberClient() final = default; void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingRequest &&request, const rpc::ClientCallback &callback) final { auto *context = new grpc::ClientContext; auto *reply = new rpc::PubsubLongPollingReply; @@ -120,7 +120,7 @@ class CallbackSubscriberClient final : public pubsub::SubscriberClientInterface } void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, + rpc::PubsubCommandBatchRequest &&request, const rpc::ClientCallback &callback) final { auto *context = new grpc::ClientContext; auto *reply = new rpc::PubsubCommandBatchReply; diff --git a/src/ray/pubsub/tests/subscriber_test.cc b/src/ray/pubsub/tests/subscriber_test.cc index c2b212c13ce9..a1b6aa5d8aa2 100644 --- a/src/ray/pubsub/tests/subscriber_test.cc +++ b/src/ray/pubsub/tests/subscriber_test.cc @@ -34,7 +34,7 @@ namespace ray { class MockWorkerClient : public pubsub::SubscriberClientInterface { public: void PubsubLongPolling( - const rpc::PubsubLongPollingRequest &request, + rpc::PubsubLongPollingRequest &&request, const rpc::ClientCallback &callback) override { max_processed_sequence_id_ = request.max_processed_sequence_id(); publisher_id_ = request.publisher_id(); @@ -42,7 +42,7 @@ class MockWorkerClient : public pubsub::SubscriberClientInterface { } void PubsubCommandBatch( - const rpc::PubsubCommandBatchRequest &request, + rpc::PubsubCommandBatchRequest &&request, const rpc::ClientCallback &callback) override { requests_.push(request); command_batch_callbacks.push_back(callback); diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 8d0daeb009f1..92565bb2bdac 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -65,17 +65,17 @@ void LocalObjectManager::PinObjectsAndWaitForFree( } // Create a object eviction subscription message. - auto wait_request = std::make_unique(); - wait_request->set_object_id(object_id.Binary()); - wait_request->set_intended_worker_id(owner_address.worker_id()); + rpc::WorkerObjectEvictionSubMessage wait_request; + wait_request.set_object_id(object_id.Binary()); + wait_request.set_intended_worker_id(owner_address.worker_id()); if (!generator_id.IsNil()) { - wait_request->set_generator_id(generator_id.Binary()); + wait_request.set_generator_id(generator_id.Binary()); } rpc::Address subscriber_address; subscriber_address.set_node_id(self_node_id_.Binary()); subscriber_address.set_ip_address(self_node_address_); subscriber_address.set_port(self_node_port_); - wait_request->mutable_subscriber_address()->CopyFrom(subscriber_address); + *wait_request.mutable_subscriber_address() = std::move(subscriber_address); // If the subscription succeeds, register the subscription callback. // Callback is invoked when the owner publishes the object to evict. @@ -96,7 +96,7 @@ void LocalObjectManager::PinObjectsAndWaitForFree( }; auto sub_message = std::make_unique(); - sub_message->mutable_worker_object_eviction_message()->Swap(wait_request.get()); + *sub_message->mutable_worker_object_eviction_message() = std::move(wait_request); core_worker_subscriber_->Subscribe(std::move(sub_message), rpc::ChannelType::WORKER_OBJECT_EVICTION, diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 0f099dd3e86e..49bea48f4750 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -118,14 +118,14 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const ClientCallback &callback) {} /// Send a long polling request to a core worker for pubsub operations. - virtual void PubsubLongPolling(const PubsubLongPollingRequest &request, - const ClientCallback &callback) { - } + void PubsubLongPolling( + PubsubLongPollingRequest &&request, + const ClientCallback &callback) override {} /// Send a pubsub command batch request to a core worker for pubsub operations. - virtual void PubsubCommandBatch( - const PubsubCommandBatchRequest &request, - const ClientCallback &callback) {} + void PubsubCommandBatch( + PubsubCommandBatchRequest &&request, + const ClientCallback &callback) override {} virtual void UpdateObjectLocationBatch( UpdateObjectLocationBatchRequest &&request, @@ -256,17 +256,19 @@ class CoreWorkerClient : public std::enable_shared_from_this, /*method_timeout_ms*/ -1, override) - VOID_RPC_CLIENT_METHOD(CoreWorkerService, - PubsubLongPolling, - grpc_client_, - /*method_timeout_ms*/ -1, - override) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + CoreWorkerService, + PubsubLongPolling, + grpc_client_, + /*method_timeout_ms*/ -1, + override) - VOID_RPC_CLIENT_METHOD(CoreWorkerService, - PubsubCommandBatch, - grpc_client_, - /*method_timeout_ms*/ -1, - override) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + CoreWorkerService, + PubsubCommandBatch, + grpc_client_, + /*method_timeout_ms*/ -1, + override) VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, CoreWorkerService, From bcd33a92488e1523ef6b18ab36fe21a42442e431 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Thu, 18 Sep 2025 14:33:59 -0700 Subject: [PATCH 1282/1566] [core][1eventx/05] node event: add start timestamp to node definition (#56546) Add start timestamp to node definition, as requested by @alanwguo Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_node_manager.cc | 1 + src/ray/gcs/tests/gcs_node_manager_test.cc | 2 ++ src/ray/observability/ray_node_definition_event.cc | 3 +++ src/ray/protobuf/public/BUILD.bazel | 3 +++ src/ray/protobuf/public/events_node_definition_event.proto | 3 +++ 5 files changed, 12 insertions(+) diff --git a/src/ray/gcs/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc index cb0bd07be91d..492dd35367fd 100644 --- a/src/ray/gcs/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -99,6 +99,7 @@ void GcsNodeManager::HandleGetClusterId(rpc::GetClusterIdRequest request, void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, rpc::RegisterNodeReply *reply, rpc::SendReplyCallback send_reply_callback) { + // TODO(#56391): node creation time should be assigned here instead of in the raylet. const rpc::GcsNodeInfo &node_info = request.node_info(); NodeID node_id = NodeID::FromBinary(node_info.node_id()); RAY_LOG(INFO) diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index 77931df33d69..b8e78a6cc9c6 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -90,6 +90,8 @@ TEST_F(GcsNodeManagerTest, DISABLED_TestRayEventNodeEvents) { ASSERT_EQ(ray_event_0.node_definition_event().node_id(), node->node_id()); ASSERT_EQ(ray_event_0.node_definition_event().node_ip_address(), node->node_manager_address()); + ASSERT_EQ(ray_event_0.node_definition_event().start_timestamp().seconds(), + node->start_time_ms() / 1000); std::map event_labels( ray_event_0.node_definition_event().labels().begin(), ray_event_0.node_definition_event().labels().end()); diff --git a/src/ray/observability/ray_node_definition_event.cc b/src/ray/observability/ray_node_definition_event.cc index d3640aafb648..d913ef3c238e 100644 --- a/src/ray/observability/ray_node_definition_event.cc +++ b/src/ray/observability/ray_node_definition_event.cc @@ -27,6 +27,9 @@ RayNodeDefinitionEvent::RayNodeDefinitionEvent(const rpc::GcsNodeInfo &data, session_name) { data_.set_node_id(data.node_id()); data_.set_node_ip_address(data.node_manager_address()); + data_.mutable_start_timestamp()->CopyFrom( + AbslTimeNanosToProtoTimestamp(absl::ToInt64Nanoseconds( + absl::FromUnixMillis(data.start_time_ms()) - absl::UnixEpoch()))); data_.mutable_labels()->insert(data.labels().begin(), data.labels().end()); } diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 25a484225caf..4367d3043eae 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -118,6 +118,9 @@ proto_library( proto_library( name = "events_node_definition_event_proto", srcs = ["events_node_definition_event.proto"], + deps = [ + "@com_google_protobuf//:timestamp_proto", + ], ) cc_proto_library( diff --git a/src/ray/protobuf/public/events_node_definition_event.proto b/src/ray/protobuf/public/events_node_definition_event.proto index 69a5fe7959fb..44688d162f69 100644 --- a/src/ray/protobuf/public/events_node_definition_event.proto +++ b/src/ray/protobuf/public/events_node_definition_event.proto @@ -14,6 +14,8 @@ syntax = "proto3"; +import "google/protobuf/timestamp.proto"; + package ray.rpc.events; // Message containing the definition of a node, as observed via GCS. @@ -24,4 +26,5 @@ message NodeDefinitionEvent { bytes node_id = 1; string node_ip_address = 2; map labels = 3; + google.protobuf.Timestamp start_timestamp = 4; } From 7bb09ceba12695e19e342f5a39960133c689c938 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Thu, 18 Sep 2025 14:53:29 -0700 Subject: [PATCH 1283/1566] [Data] - Handle string concat for ray.data.expressions (#56596) ## Why are these changes needed? `pc.add` doesn't work for string types, so the `expression_evaluator` needs to handle non-numeric types via `pc.binary_join_element_wise`. ## Related issue number Addresses https://github.com/ray-project/ray/issues/56572 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/_expression_evaluator.py | 63 +++++++++++++- python/ray/data/tests/test_map.py | 100 +++++++++++++++++++++++ 2 files changed, 161 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_expression_evaluator.py b/python/ray/data/_expression_evaluator.py index b94b6541860c..6e177e909fa6 100644 --- a/python/ray/data/_expression_evaluator.py +++ b/python/ray/data/_expression_evaluator.py @@ -1,7 +1,7 @@ from __future__ import annotations import operator -from typing import Any, Callable, Dict +from typing import Any, Callable, Dict, Union import numpy as np import pandas as pd @@ -47,8 +47,67 @@ def _pa_is_in(left: Any, right: Any) -> Any: Operation.NOT_IN: lambda left, right: ~left.is_in(right), } + +def _is_pa_string_type(t: pa.DataType) -> bool: + return pa.types.is_string(t) or pa.types.is_large_string(t) + + +def _is_pa_string_like(x: Union[pa.Array, pa.ChunkedArray]) -> bool: + t = x.type + if pa.types.is_dictionary(t): + t = t.value_type + return _is_pa_string_type(t) + + +def _pa_decode_dict_string_array(x: Union[pa.Array, pa.ChunkedArray]) -> Any: + """Convert Arrow dictionary-encoded string arrays to regular string arrays. + + Dictionary encoding stores strings as indices into a dictionary of unique values. + This function converts them back to regular string arrays for string operations. + + Example: + # Input: pa.array(['a', 'b']).dictionary_encode() + # -- dictionary: ["a", "b"] + # -- indices: [0, 1] + # Output: regular string array ["a", "b"] + Args: + x: The input array to convert. + Returns: + The converted string array. + """ + if pa.types.is_dictionary(x.type) and _is_pa_string_type(x.type.value_type): + return pc.cast(x, pa.string()) + return x + + +def _to_pa_string_input(x: Any) -> Any: + if isinstance(x, str): + return pa.scalar(x) + elif _is_pa_string_like(x) and isinstance(x, (pa.Array, pa.ChunkedArray)): + x = _pa_decode_dict_string_array(x) + else: + raise + return x + + +def _pa_add_or_concat(left: Any, right: Any) -> Any: + # If either side is string-like, perform string concatenation. + if ( + isinstance(left, str) + or isinstance(right, str) + or (isinstance(left, (pa.Array, pa.ChunkedArray)) and _is_pa_string_like(left)) + or ( + isinstance(right, (pa.Array, pa.ChunkedArray)) and _is_pa_string_like(right) + ) + ): + left_input = _to_pa_string_input(left) + right_input = _to_pa_string_input(right) + return pc.binary_join_element_wise(left_input, right_input, "") + return pc.add(left, right) + + _ARROW_EXPR_OPS_MAP: Dict[Operation, Callable[..., Any]] = { - Operation.ADD: pc.add, + Operation.ADD: _pa_add_or_concat, Operation.SUB: pc.subtract, Operation.MUL: pc.multiply, Operation.DIV: pc.divide, diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index e90d027d242a..05e311aa4c5e 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -2710,6 +2710,106 @@ def invalid_int_return(x: pa.Array) -> int: assert "pandas.Series" in error_message and "numpy.ndarray" in error_message +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "scenario", + [ + pytest.param( + { + "data": [ + {"name": "Alice"}, + {"name": "Bob"}, + {"name": "Charlie"}, + ], + "expr_factory": lambda: col("name") + "_X", + "column_name": "name_with_suffix", + "expected": ["Alice_X", "Bob_X", "Charlie_X"], + }, + id="string_col_plus_python_literal_rhs", + ), + pytest.param( + { + "data": [ + {"name": "Alice"}, + {"name": "Bob"}, + {"name": "Charlie"}, + ], + "expr_factory": lambda: "_X" + col("name"), + "column_name": "name_with_prefix", + "expected": ["_XAlice", "_XBob", "_XCharlie"], + }, + id="python_literal_lhs_plus_string_col", + ), + pytest.param( + { + "data": [ + {"first": "John", "last": "Doe"}, + {"first": "Jane", "last": "Smith"}, + ], + "expr_factory": lambda: col("first") + col("last"), + "column_name": "full_name", + "expected": ["JohnDoe", "JaneSmith"], + }, + id="string_col_plus_string_col", + ), + pytest.param( + { + "arrow_table": pa.table( + {"name": pa.array(["Alice", "Bob"]).dictionary_encode()} + ), + "expr_factory": lambda: col("name") + "_X", + "column_name": "name_with_suffix", + "expected": ["Alice_X", "Bob_X"], + }, + id="dict_encoded_string_col_plus_literal_rhs", + ), + pytest.param( + { + "data": [ + {"name": "Alice"}, + {"name": "Bob"}, + ], + "expr_factory": lambda: col("name") + lit("_X"), + "column_name": "name_with_suffix", + "expected": ["Alice_X", "Bob_X"], + }, + id="string_col_plus_lit_literal_rhs", + ), + ], +) +def test_with_column_string_concat_combinations( + ray_start_regular_shared, + scenario, +): + if "arrow_table" in scenario: + ds = ray.data.from_arrow(scenario["arrow_table"]) + else: + ds = ray.data.from_items(scenario["data"]) + + expr = scenario["expr_factory"]() + column_name = scenario["column_name"] + + ds2 = ds.with_column(column_name, expr) + out = ds2.to_pandas() + assert out[column_name].tolist() == scenario["expected"] + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="with_column requires PyArrow >= 20.0.0", +) +def test_with_column_string_concat_type_mismatch_raises( + ray_start_regular_shared, +): + # int + string should raise a user-facing error + ds = ray.data.range(3) + with pytest.raises((RayTaskError, UserCodeException)): + ds.with_column("bad", col("id") + "_X").materialize() + + @pytest.mark.skipif( get_pyarrow_version() < parse_version("20.0.0"), reason="with_column requires PyArrow >= 20.0.0", From f40b48e2eedede5cab43155dd2e488689725494d Mon Sep 17 00:00:00 2001 From: "Owen Lin (You-Cheng Lin)" <106612301+owenowenisme@users.noreply.github.com> Date: Fri, 19 Sep 2025 05:54:56 +0800 Subject: [PATCH 1284/1566] [Data] Elevate num_cpus/gpus and memory as top-level params in most APIs (#56419) ## Why are these changes needed? This PR: - Add a util method `merge_resources_to_ray_remote_args` to add reaource args : `num_cpus` `num_gpus` `memory` to `ray_remote_args` and a test for it. - Update `read_api.py` and `dataset.py` to elevate num_cpus/gpus and memory as top-level params ## Related issue number Closes #54708 ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 2 - python/ray/data/_internal/util.py | 28 ++++ python/ray/data/dataset.py | 43 +++-- python/ray/data/read_api.py | 261 ++++++++++++++++++++++++++++- python/ray/data/tests/test_util.py | 16 ++ 5 files changed, 328 insertions(+), 22 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index dda36bc5155b..de5c705d5a74 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1369,8 +1369,6 @@ python/ray/data/read_api.py DOC101: Function `read_text`: Docstring contains fewer arguments than in function signature. DOC103: Function `read_text`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [drop_empty_lines: bool]. DOC103: Function `read_numpy`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**numpy_load_args: ]. Arguments in the docstring but not in the function signature: [numpy_load_args: ]. - DOC104: Function `read_binary_files`: Arguments are the same in the docstring and the function signature, but are in a different order. - DOC105: Function `read_binary_files`: Argument names match, but type hints in these args do not match: paths, include_paths, filesystem, parallelism, ray_remote_args, arrow_open_stream_args, meta_provider, partition_filter, partitioning, ignore_missing_paths, shuffle, file_extensions, concurrency, override_num_blocks -------------------- python/ray/data/tests/test_split.py DOC106: Function `assert_split_assignment`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature diff --git a/python/ray/data/_internal/util.py b/python/ray/data/_internal/util.py index 3db54be3d547..77b6b75f4e9b 100644 --- a/python/ray/data/_internal/util.py +++ b/python/ray/data/_internal/util.py @@ -16,6 +16,7 @@ TYPE_CHECKING, Any, Callable, + Dict, Generator, Iterable, Iterator, @@ -1752,3 +1753,30 @@ def rows_same(actual: pd.DataFrame, expected: pd.DataFrame) -> bool: expected_items_counts = Counter(frozenset(row.items()) for row in expected_rows) return actual_items_counts == expected_items_counts + + +def merge_resources_to_ray_remote_args( + num_cpus: Optional[int], + num_gpus: Optional[int], + memory: Optional[int], + ray_remote_args: Dict[str, Any], +) -> Dict[str, Any]: + """Convert the given resources to Ray remote args. + + Args: + num_cpus: The number of CPUs to be added to the Ray remote args. + num_gpus: The number of GPUs to be added to the Ray remote args. + memory: The memory to be added to the Ray remote args. + ray_remote_args: The Ray remote args to be merged. + + Returns: + The converted arguments. + """ + ray_remote_args = ray_remote_args.copy() + if num_cpus is not None: + ray_remote_args["num_cpus"] = num_cpus + if num_gpus is not None: + ray_remote_args["num_gpus"] = num_gpus + if memory is not None: + ray_remote_args["memory"] = memory + return ray_remote_args diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 9c792eeb95ec..533b393c0838 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -95,6 +95,7 @@ ConsumptionAPI, _validate_rows_per_file_args, get_compute_strategy, + merge_resources_to_ray_remote_args, ) from ray.data.aggregate import AggregateFn, Max, Mean, Min, Std, Sum, Unique from ray.data.block import ( @@ -403,14 +404,12 @@ def parse_filename(row: Dict[str, Any]) -> Dict[str, Any]: concurrency=concurrency, ) - if num_cpus is not None: - ray_remote_args["num_cpus"] = num_cpus - - if num_gpus is not None: - ray_remote_args["num_gpus"] = num_gpus - - if memory is not None: - ray_remote_args["memory"] = memory + ray_remote_args = merge_resources_to_ray_remote_args( + num_cpus, + num_gpus, + memory, + ray_remote_args, + ) plan = self._plan.copy() map_op = MapRows( @@ -1365,14 +1364,12 @@ def duplicate_row(row: Dict[str, Any]) -> List[Dict[str, Any]]: concurrency=concurrency, ) - if num_cpus is not None: - ray_remote_args["num_cpus"] = num_cpus - - if num_gpus is not None: - ray_remote_args["num_gpus"] = num_gpus - - if memory is not None: - ray_remote_args["memory"] = memory + ray_remote_args = merge_resources_to_ray_remote_args( + num_cpus, + num_gpus, + memory, + ray_remote_args, + ) plan = self._plan.copy() op = FlatMap( @@ -1400,6 +1397,9 @@ def filter( fn_kwargs: Optional[Dict[str, Any]] = None, fn_constructor_args: Optional[Iterable[Any]] = None, fn_constructor_kwargs: Optional[Dict[str, Any]] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, concurrency: Optional[Union[int, Tuple[int, int], Tuple[int, int, int]]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, **ray_remote_args, @@ -1441,6 +1441,11 @@ def filter( This can only be provided if ``fn`` is a callable class. These arguments are top-level arguments in the underlying Ray actor construction task. compute: This argument is deprecated. Use ``concurrency`` argument. + num_cpus: The number of CPUs to reserve for each parallel map worker. + num_gpus: The number of GPUs to reserve for each parallel map worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel map + worker. + memory: The heap memory in bytes to reserve for each parallel map worker. concurrency: The semantics of this argument depend on the type of ``fn``: * If ``fn`` is a function and ``concurrency`` isn't set (default), the @@ -1515,6 +1520,12 @@ def filter( f"{type(fn).__name__} instead." ) + ray_remote_args = merge_resources_to_ray_remote_args( + num_cpus, + num_gpus, + memory, + ray_remote_args, + ) plan = self._plan.copy() op = Filter( input_op=self._logical_plan.dag, diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 578a706c3d2b..46a81e5bc9db 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -71,6 +71,7 @@ from ray.data._internal.util import ( _autodetect_parallelism, get_table_block_metadata_schema, + merge_resources_to_ray_remote_args, ndarray_to_block, pandas_df_to_arrow_block, ) @@ -355,6 +356,9 @@ def read_datasource( datasource: Datasource, *, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Dict[str, Any] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, @@ -365,6 +369,11 @@ def read_datasource( Args: datasource: The :class:`~ray.data.Datasource` to read data from. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the @@ -396,6 +405,13 @@ def read_datasource( if "scheduling_strategy" not in ray_remote_args: ray_remote_args["scheduling_strategy"] = ctx.scheduling_strategy + ray_remote_args = merge_resources_to_ray_remote_args( + num_cpus, + num_gpus, + memory, + ray_remote_args, + ) + datasource_or_legacy_reader = _get_datasource_or_legacy_reader( datasource, ctx, @@ -453,6 +469,9 @@ def read_audio( shuffle: Union[Literal["files"], None] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Optional[Dict[str, Any]] = None, ): """Creates a :class:`~ray.data.Dataset` from audio files. @@ -502,6 +521,11 @@ def read_audio( By default, the number of output blocks is dynamically decided based on input data size and available resources. You shouldn't manually set this value in most cases. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :meth:`~ray.remote` in the read tasks. Returns: @@ -523,6 +547,9 @@ def read_audio( return read_datasource( datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -543,6 +570,9 @@ def read_videos( shuffle: Union[Literal["files"], None] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Optional[Dict[str, Any]] = None, ): """Creates a :class:`~ray.data.Dataset` from video files. @@ -592,6 +622,11 @@ def read_videos( total number of tasks run or the total number of output blocks. By default, concurrency is dynamically decided based on the available resources. ray_remote_args: kwargs passed to :meth:`~ray.remote` in the read tasks. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. Returns: A :class:`~ray.data.Dataset` containing video frames from the video files. @@ -612,6 +647,9 @@ def read_videos( return read_datasource( datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -626,6 +664,9 @@ def read_mongo( pipeline: Optional[List[Dict]] = None, schema: Optional["pymongoarrow.api.Schema"] = None, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Dict[str, Any] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, @@ -679,6 +720,11 @@ def read_mongo( schema: The schema used to read the collection. If None, it'll be inferred from the results of pipeline. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the @@ -710,6 +756,9 @@ def read_mongo( ) return read_datasource( datasource, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, parallelism=parallelism, ray_remote_args=ray_remote_args, concurrency=concurrency, @@ -724,6 +773,9 @@ def read_bigquery( query: Optional[str] = None, *, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Dict[str, Any] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, @@ -768,6 +820,11 @@ def read_bigquery( dataset: The name of the dataset hosted in BigQuery in the format of ``dataset_id.table_id``. Both the dataset_id and table_id must exist otherwise an exception will be raised. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the @@ -785,6 +842,9 @@ def read_bigquery( datasource = BigQueryDatasource(project_id=project_id, dataset=dataset, query=query) return read_datasource( datasource, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, parallelism=parallelism, ray_remote_args=ray_remote_args, concurrency=concurrency, @@ -799,6 +859,9 @@ def read_parquet( filesystem: Optional["pyarrow.fs.FileSystem"] = None, columns: Optional[List[str]] = None, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Dict[str, Any] = None, tensor_column_schema: Optional[Dict[str, Tuple[np.dtype, Tuple[int, ...]]]] = None, meta_provider: Optional[FileMetadataProvider] = None, @@ -896,6 +959,11 @@ def read_parquet( columns: A list of column names to read. Only the specified columns are read during the file scan. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. tensor_column_schema: A dict of column name to PyArrow dtype and shape mappings for converting a Parquet column containing serialized @@ -962,6 +1030,9 @@ def read_parquet( ) return read_datasource( datasource, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, parallelism=parallelism, ray_remote_args=ray_remote_args, concurrency=concurrency, @@ -975,6 +1046,9 @@ def read_images( *, filesystem: Optional["pyarrow.fs.FileSystem"] = None, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, meta_provider: Optional[BaseFileMetadataProvider] = None, ray_remote_args: Dict[str, Any] = None, arrow_open_file_args: Optional[Dict[str, Any]] = None, @@ -1048,6 +1122,11 @@ class string the filesystem is automatically selected based on the scheme of the paths. For example, if the path begins with ``s3://``, the `S3FileSystem` is used. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. meta_provider: [Deprecated] A :ref:`file metadata provider `. Custom metadata providers may be able to resolve file metadata more quickly and/or accurately. In most cases, you do not need to set this. If ``None``, @@ -1119,6 +1198,9 @@ class string ) return read_datasource( datasource, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, parallelism=parallelism, ray_remote_args=ray_remote_args, concurrency=concurrency, @@ -1133,6 +1215,9 @@ def read_parquet_bulk( filesystem: Optional["pyarrow.fs.FileSystem"] = None, columns: Optional[List[str]] = None, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Dict[str, Any] = None, arrow_open_file_args: Optional[Dict[str, Any]] = None, tensor_column_schema: Optional[Dict[str, Tuple[np.dtype, Tuple[int, ...]]]] = None, @@ -1184,6 +1269,11 @@ def read_parquet_bulk( columns: A list of column names to read. Only the specified columns are read during the file scan. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. arrow_open_file_args: kwargs passed to `pyarrow.fs.FileSystem.open_input_file `_. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the @@ -2722,6 +2919,9 @@ def read_hudi( return read_datasource( datasource=datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -3180,6 +3380,9 @@ def read_delta_sharing_tables( timestamp: Optional[str] = None, json_predicate_hints: Optional[str] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, ) -> Dataset: @@ -3223,6 +3426,11 @@ def read_delta_sharing_tables( details, see: https://github.com/delta-io/delta-sharing/blob/main/PROTOCOL.md#json-predicates-for-filtering. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control the number of tasks to run concurrently. This doesn't change the total number of tasks run or the total number of output blocks. By default, @@ -3252,6 +3460,9 @@ def read_delta_sharing_tables( return ray.data.read_datasource( datasource=datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -3534,6 +3745,7 @@ def from_torch( dataset: A `Torch Dataset`_. local_read: If ``True``, perform the read as a local read. + Returns: A :class:`~ray.data.Dataset` containing the Torch dataset samples. """ # noqa: E501 @@ -3571,6 +3783,9 @@ def read_iceberg( scan_kwargs: Optional[Dict[str, str]] = None, catalog_kwargs: Optional[Dict[str, str]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, override_num_blocks: Optional[int] = None, ) -> Dataset: """Create a :class:`~ray.data.Dataset` from an Iceberg table. @@ -3615,6 +3830,11 @@ def read_iceberg( #pyiceberg.catalog.load_catalog>`_. ray_remote_args: Optional arguments to pass to :func:`ray.remote` in the read tasks. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. override_num_blocks: Override the number of output blocks from all read tasks. By default, the number of output blocks is dynamically decided based on input data size and available resources, and capped at the number of @@ -3638,6 +3858,9 @@ def read_iceberg( dataset = read_datasource( datasource=datasource, parallelism=parallelism, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, override_num_blocks=override_num_blocks, ray_remote_args=ray_remote_args, ) @@ -3654,6 +3877,9 @@ def read_lance( storage_options: Optional[Dict[str, str]] = None, scanner_options: Optional[Dict[str, Any]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, ) -> Dataset: @@ -3684,6 +3910,11 @@ def read_lance( see `LanceDB API doc `_ ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the total number of tasks run or the total number of output blocks. By default, @@ -3707,6 +3938,9 @@ def read_lance( return read_datasource( datasource=datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -3723,6 +3957,9 @@ def read_clickhouse( client_settings: Optional[Dict[str, Any]] = None, client_kwargs: Optional[Dict[str, Any]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, concurrency: Optional[int] = None, override_num_blocks: Optional[int] = None, ) -> Dataset: @@ -3764,6 +4001,11 @@ def read_clickhouse( client_kwargs: Optional additional arguments to pass to the ClickHouse client. For more information, see `ClickHouse Core Settings `_. ray_remote_args: kwargs passed to :func:`ray.remote` in the read tasks. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. concurrency: The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn't change the total number of tasks run or the total number of output blocks. By default, @@ -3789,6 +4031,9 @@ def read_clickhouse( return read_datasource( datasource=datasource, ray_remote_args=ray_remote_args, + num_cpus=num_cpus, + num_gpus=num_gpus, + memory=memory, concurrency=concurrency, override_num_blocks=override_num_blocks, ) @@ -3886,6 +4131,9 @@ def read_delta( filesystem: Optional["pyarrow.fs.FileSystem"] = None, columns: Optional[List[str]] = None, parallelism: int = -1, + num_cpus: Optional[float] = None, + num_gpus: Optional[float] = None, + memory: Optional[float] = None, ray_remote_args: Optional[Dict[str, Any]] = None, meta_provider: Optional[FileMetadataProvider] = None, partition_filter: Optional[PathPartitionFilter] = None, @@ -3917,6 +4165,11 @@ def read_delta( columns: A list of column names to read. Only the specified columns are read during the file scan. parallelism: This argument is deprecated. Use ``override_num_blocks`` argument. + num_cpus: The number of CPUs to reserve for each parallel read worker. + num_gpus: The number of GPUs to reserve for each parallel read worker. For + example, specify `num_gpus=1` to request 1 GPU for each parallel read + worker. + memory: The heap memory in bytes to reserve for each parallel read worker. ray_remote_args: kwargs passed to :meth:`~ray.remote` in the read tasks. meta_provider: A :ref:`file metadata provider `. Custom metadata providers may be able to resolve file metadata more quickly and/or diff --git a/python/ray/data/tests/test_util.py b/python/ray/data/tests/test_util.py index 03d74268ea03..557925fa6168 100644 --- a/python/ray/data/tests/test_util.py +++ b/python/ray/data/tests/test_util.py @@ -26,6 +26,7 @@ _check_pyarrow_version, find_partition_index, iterate_with_retry, + merge_resources_to_ray_remote_args, rows_same, ) from ray.data.tests.conftest import * # noqa: F401, F403 @@ -345,6 +346,21 @@ def test_find_partition_index_duplicates_descending(): assert find_partition_index(table, (3,), sort_key) == 0 +def test_merge_resources_to_ray_remote_args(): + ray_remote_args = {} + ray_remote_args = merge_resources_to_ray_remote_args(1, 1, 1, ray_remote_args) + assert ray_remote_args == {"num_cpus": 1, "num_gpus": 1, "memory": 1} + + ray_remote_args = {"other_resource": 1} + ray_remote_args = merge_resources_to_ray_remote_args(1, 1, 1, ray_remote_args) + assert ray_remote_args == { + "num_cpus": 1, + "num_gpus": 1, + "memory": 1, + "other_resource": 1, + } + + @pytest.mark.parametrize( "actual, expected, expected_equal", [ From b4fc8aed003345a3ae4130344be6ed27a1f9eb58 Mon Sep 17 00:00:00 2001 From: ali-corpo Date: Fri, 19 Sep 2025 00:32:03 +0200 Subject: [PATCH 1285/1566] fix None pending Request (#54775) ## Why are these changes needed? in some cases we face with an exception that pending_request is None ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [] Release tests - [] This PR is not tested :( --------- Signed-off-by: ali-corpo Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/request_router/request_router.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/serve/_private/request_router/request_router.py b/python/ray/serve/_private/request_router/request_router.py index 4002ee4540c0..32ada250a305 100644 --- a/python/ray/serve/_private/request_router/request_router.py +++ b/python/ray/serve/_private/request_router/request_router.py @@ -940,7 +940,10 @@ async def _choose_replicas_with_backoff( # replica is found. These sequence should only help to reduce the # latency of the request. No backoff and sleep should be applied, until # we have fall into the case trying on all available replicas. - if not pending_request.routing_context.should_backoff: + if ( + pending_request + and not pending_request.routing_context.should_backoff + ): continue if not entered_backoff: From e8534ffffe24e143791f86f78b11f548b1173db3 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 18 Sep 2025 15:54:33 -0700 Subject: [PATCH 1286/1566] =?UTF-8?q?move=20ingress=20validation=20for=20m?= =?UTF-8?q?ultiple=20fastapi=20deployment=20into=20client=20i=E2=80=A6=20(?= =?UTF-8?q?#56706)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit fixes https://github.com/ray-project/ray/issues/55836 ### Reasons for moving validation from controller to client in the imperative case: 1. **Access to User Callable Class on the client side** In imperative workflows, Since the client already has access to the User Callable Class at this point, FastAPI-related validations can be performed locally rather than delegating them to the controller. 2. **Unsafe deserialization in the controller** The controller was deserializing the User Callable Class without using the runtime environment. This posed a risk: if the class closure referenced an uncommon or obscure package, deserialization could fail. Performing validation on the client side avoids this unsafe pattern. 3. **Declarative flows remain unaffected** Declarative deployment workflows still perform their validation in the controller. Those validations are already handled in a safe manner, so no changes or concerns are needed there. This behavior is tested in the following tests 1. `python/ray/serve/tests/test_fastapi.py::test_two_fastapi_in_one_application` 2. `python/ray/serve/tests/test_deploy_app.py::test_two_fastapi_in_one_application` Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- .../ray/serve/_private/application_state.py | 23 --------------- python/ray/serve/_private/client.py | 28 +++++++++++++++++++ 2 files changed, 28 insertions(+), 23 deletions(-) diff --git a/python/ray/serve/_private/application_state.py b/python/ray/serve/_private/application_state.py index 6873a8584fd3..8c809d2afa20 100644 --- a/python/ray/serve/_private/application_state.py +++ b/python/ray/serve/_private/application_state.py @@ -487,7 +487,6 @@ def deploy_app(self, deployment_infos: Dict[str, DeploymentInfo]): or docs path. """ - self._check_ingress_deployments(deployment_infos) # Check routes are unique in deployment infos self._route_prefix = self._check_routes(deployment_infos) @@ -722,28 +721,6 @@ def _reconcile_build_app_task(self) -> Tuple[Optional[Dict], BuildAppStatus, str ) return None, BuildAppStatus.FAILED, error_msg - def _check_ingress_deployments( - self, deployment_infos: Dict[str, DeploymentInfo] - ) -> None: - """Check @serve.ingress of deployments in app. - - Raises: RayServeException if more than one @serve.ingress - is found among deployments. - """ - num_ingress_deployments = 0 - for info in deployment_infos.values(): - if inspect.isclass(info.replica_config.deployment_def) and issubclass( - info.replica_config.deployment_def, ASGIAppReplicaWrapper - ): - num_ingress_deployments += 1 - - if num_ingress_deployments > 1: - raise RayServeException( - f'Found multiple FastAPI deployments in application "{self._name}".' - "Please only include one deployment with @serve.ingress" - "in your application to avoid this issue." - ) - def _check_routes( self, deployment_infos: Dict[str, DeploymentInfo] ) -> Tuple[str, str]: diff --git a/python/ray/serve/_private/client.py b/python/ray/serve/_private/client.py index b871553abda0..26ccb753ce8e 100644 --- a/python/ray/serve/_private/client.py +++ b/python/ray/serve/_private/client.py @@ -1,4 +1,5 @@ import asyncio +import inspect import logging import random import time @@ -26,6 +27,7 @@ from ray.serve._private.controller import ServeController from ray.serve._private.deploy_utils import get_deploy_args from ray.serve._private.deployment_info import DeploymentInfo +from ray.serve._private.http_util import ASGIAppReplicaWrapper from ray.serve._private.utils import get_random_string from ray.serve.config import HTTPOptions from ray.serve.exceptions import RayServeException @@ -332,6 +334,9 @@ def deploy_applications( name_to_deployment_args_list[app.name] = deployment_args_list + # Validate applications before sending to controller + self._check_ingress_deployments(built_apps) + ray.get( self._controller.deploy_applications.remote(name_to_deployment_args_list) ) @@ -394,6 +399,29 @@ def deploy_apps( f"Serve application isn't running after {timeout_s}s." ) + def _check_ingress_deployments( + self, built_apps: Sequence[BuiltApplication] + ) -> None: + """Check @serve.ingress of deployments across applications. + + Raises: RayServeException if more than one @serve.ingress + is found among deployments in any single application. + """ + for app in built_apps: + num_ingress_deployments = 0 + for deployment in app.deployments: + if inspect.isclass(deployment.func_or_class) and issubclass( + deployment.func_or_class, ASGIAppReplicaWrapper + ): + num_ingress_deployments += 1 + + if num_ingress_deployments > 1: + raise RayServeException( + f'Found multiple FastAPI deployments in application "{app.name}".' + "Please only include one deployment with @serve.ingress " + "in your application to avoid this issue." + ) + @_ensure_connected def delete_apps(self, names: List[str], blocking: bool = True): if not names: From 62f6f602166c670ced603936c926b660114a864c Mon Sep 17 00:00:00 2001 From: Richard Liaw Date: Thu, 18 Sep 2025 17:25:30 -0700 Subject: [PATCH 1287/1566] [core] `ray symmetric-run` and fix for symmetric run error handling (#56497) ## Why are these changes needed? This PR implements two changes: 1. Adds `ray symmetric-run` 2. The original code was attempting to check for a return value of -1 from list.index(), which is incorrect as list.index() raises a ValueError when the item is not found. The change properly wraps the call in a try...except ValueError block. --------- Signed-off-by: Richard Liaw Signed-off-by: Douglas Strodtman --- python/ray/scripts/scripts.py | 2 ++ python/ray/scripts/symmetric_run.py | 11 +++++++---- python/ray/tests/test_symmetric_run.py | 10 ++++++++++ 3 files changed, 19 insertions(+), 4 deletions(-) diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index b1aa3e6440bb..e0d6a69d4c88 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -57,6 +57,7 @@ from ray.autoscaler._private.fake_multi_node.node_provider import FAKE_HEAD_NODE_ID from ray.core.generated import autoscaler_pb2 from ray.dashboard.modules.metrics import install_and_start_prometheus +from ray.scripts.symmetric_run import symmetric_run from ray.util.annotations import PublicAPI from ray.util.check_open_ports import check_open_ports @@ -2718,6 +2719,7 @@ def add_command_alias(command, name, hidden): cli.add_command(drain_node) cli.add_command(check_open_ports) cli.add_command(sanity_check) +cli.add_command(symmetric_run, name="symmetric-run") try: from ray.util.state.state_cli import ( diff --git a/python/ray/scripts/symmetric_run.py b/python/ray/scripts/symmetric_run.py index 22f43e58ad57..8ed825db1241 100644 --- a/python/ray/scripts/symmetric_run.py +++ b/python/ray/scripts/symmetric_run.py @@ -133,10 +133,13 @@ def curate_and_validate_ray_start_args(run_and_start_args: List[str]) -> List[st @click.argument("ray_args_and_entrypoint", nargs=-1, type=click.UNPROCESSED) def symmetric_run(address, min_nodes, ray_args_and_entrypoint): all_args = sys.argv[1:] - separator = all_args.index("--") - - if separator == -1: - raise click.ClickException("No separator '--' found in arguments.") + try: + separator = all_args.index("--") + except ValueError: + raise click.ClickException( + "No separator '--' found in arguments. Please use '--' to " + "separate Ray start arguments and the entrypoint command." + ) run_and_start_args, entrypoint_on_head = ( all_args[:separator], diff --git a/python/ray/tests/test_symmetric_run.py b/python/ray/tests/test_symmetric_run.py index dfbaac359eb4..c4118b051386 100644 --- a/python/ray/tests/test_symmetric_run.py +++ b/python/ray/tests/test_symmetric_run.py @@ -139,6 +139,16 @@ def test_symmetric_run_arg_validation(monkeypatch, cleanup_ray): result = runner.invoke(symmetric_run, args) assert result.exit_code == 0 + # Test that invalid arguments are rejected + with patch("subprocess.run") as mock_run: + mock_run.return_value.returncode = 0 + + args = ["--address", "127.0.0.1:6379", "echo", "test"] + with patch("sys.argv", ["ray.scripts.symmetric_run", *args]): + result = runner.invoke(symmetric_run, args) + assert result.exit_code == 1 + assert "No separator" in result.output + # Test that invalid arguments are rejected with patch("subprocess.run") as mock_run: mock_run.return_value.returncode = 0 From aa54d54ce0087815c3aa5e53799b4c0a66b45dd3 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Thu, 18 Sep 2025 17:33:29 -0700 Subject: [PATCH 1288/1566] [core] Fix windows build errors (#56714) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/fakes/ray/rpc/raylet/BUILD.bazel | 1 + src/fakes/ray/rpc/raylet/raylet_client.h | 29 ++++++++++++++---------- 2 files changed, 18 insertions(+), 12 deletions(-) diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel index fc6b5a141289..6a41c763960d 100644 --- a/src/fakes/ray/rpc/raylet/BUILD.bazel +++ b/src/fakes/ray/rpc/raylet/BUILD.bazel @@ -7,6 +7,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:status", "//src/ray/common/scheduling:scheduling_ids", + "//src/ray/rpc:client_call", "//src/ray/rpc:raylet_client_interface", ], ) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/fakes/ray/rpc/raylet/raylet_client.h index 3680819c04fe..b3f65e3188a0 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/fakes/ray/rpc/raylet/raylet_client.h @@ -14,10 +14,18 @@ #pragma once +#include +#include +#include +#include +#include + +#include "absl/time/clock.h" +#include "ray/common/id.h" #include "ray/common/scheduling/scheduling_ids.h" +#include "ray/common/status.h" +#include "ray/rpc/client_call.h" #include "ray/rpc/raylet/raylet_client_interface.h" -#include "src/ray/common/id.h" -#include "src/ray/common/status.h" namespace ray { @@ -27,12 +35,12 @@ class FakeRayletClient : public RayletClientInterface { const rpc::Address &caller_address, const std::vector &object_ids, const ObjectID &generator_id, - const ray::rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override {} void RequestWorkerLease( const rpc::LeaseSpec &lease_spec, bool grant_or_reject, - const ray::rpc::ClientCallback &callback, + const rpc::ClientCallback &callback, const int64_t backlog_size = -1, const bool is_selected_based_on_locality = false) override { num_workers_requested += 1; @@ -53,7 +61,7 @@ class FakeRayletClient : public RayletClientInterface { void PrestartWorkers( const rpc::PrestartWorkersRequest &request, - const rpc::ClientCallback &callback) override {} + const rpc::ClientCallback &callback) override {} void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, @@ -152,24 +160,21 @@ class FakeRayletClient : public RayletClientInterface { void PrepareBundleResources( const std::vector> &bundle_specs, - const ray::rpc::ClientCallback &callback) - override { + const rpc::ClientCallback &callback) override { num_lease_requested += 1; lease_callbacks.push_back(callback); } void CommitBundleResources( const std::vector> &bundle_specs, - const ray::rpc::ClientCallback &callback) - override { + const rpc::ClientCallback &callback) override { num_commit_requested += 1; commit_callbacks.push_back(callback); } void CancelResourceReserve( const BundleSpecification &bundle_spec, - const ray::rpc::ClientCallback &callback) - override { + const rpc::ClientCallback &callback) override { num_return_requested += 1; return_callbacks.push_back(callback); } @@ -243,7 +248,7 @@ class FakeRayletClient : public RayletClientInterface { void GetWorkerFailureCause( const LeaseID &lease_id, const rpc::ClientCallback &callback) override { - ray::rpc::GetWorkerFailureCauseReply reply; + rpc::GetWorkerFailureCauseReply reply; callback(Status::OK(), std::move(reply)); num_get_task_failure_causes += 1; } From c35843ecc85d278ee6865bc1f418e3b1861fe9b6 Mon Sep 17 00:00:00 2001 From: Seiji Eicher <58963096+eicherseiji@users.noreply.github.com> Date: Thu, 18 Sep 2025 17:43:23 -0700 Subject: [PATCH 1289/1566] [serve.llm][dashboard] Configure aggregation interval (#56591) Signed-off-by: Seiji Eicher Signed-off-by: Douglas Strodtman --- .../dashboards/serve_llm_dashboard_panels.py | 58 +++++++++---------- .../serve_llm_grafana_dashboard_base.json | 40 +++++++++++++ 2 files changed, 69 insertions(+), 29 deletions(-) diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py index cc876bd17771..2a238993f749 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_dashboard_panels.py @@ -17,11 +17,11 @@ unit="tokens/s", targets=[ Target( - expr='sum by (model_name, WorkerId) (rate(ray_vllm:request_prompt_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by (model_name, WorkerId) (rate(ray_vllm:request_prompt_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="Prompt Tokens/Sec - {{model_name}} - {{WorkerId}}", ), Target( - expr='sum by (model_name, WorkerId) (rate(ray_vllm:generation_tokens_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by (model_name, WorkerId) (rate(ray_vllm:generation_tokens_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="Generation Tokens/Sec - {{model_name}} - {{WorkerId}}", ), ], @@ -33,27 +33,27 @@ Panel( id=2, title="vLLM: Time Per Output Token Latency", - description="Time per output token latency in milliseconds.", - unit="ms", + description="Time per output token latency.", + unit="s", targets=[ Target( - expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P99 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_per_output_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="Mean - {{model_name}} - {{WorkerId}}", ), ], @@ -85,27 +85,27 @@ Panel( id=5, title="vLLM: Time To First Token Latency", - description="P50, P90, P95, and P99 TTFT latency in milliseconds.", - unit="ms", + description="P50, P90, P95, and P99 TTFT latency.", + unit="s", targets=[ Target( - expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='(sum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="Average - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId)(rate(ray_vllm:time_to_first_token_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P99 - {{model_name}} - {{WorkerId}}", ), ], @@ -121,23 +121,23 @@ unit="s", targets=[ Target( - expr='sum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))\n/\nsum by(model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_count{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="Average - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.5, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P50 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.9, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P90 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.95, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P95 - {{model_name}} - {{WorkerId}}", ), Target( - expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])))', + expr='histogram_quantile(0.99, sum by(le, model_name, WorkerId) (rate(ray_vllm:e2e_request_latency_seconds_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])))', legend="P99 - {{model_name}} - {{WorkerId}}", ), ], @@ -177,7 +177,7 @@ unit="Requests", targets=[ Target( - expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_prompt_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_prompt_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="{{le}}", template=TargetTemplate.HEATMAP, ), @@ -195,7 +195,7 @@ unit="Requests", targets=[ Target( - expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_generation_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(le, model_name, WorkerId) (increase(ray_vllm:request_generation_tokens_bucket{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="{{le}}", template=TargetTemplate.HEATMAP, ), @@ -213,7 +213,7 @@ unit="Requests", targets=[ Target( - expr='sum by(finished_reason, model_name, WorkerId) (increase(ray_vllm:request_success_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(finished_reason, model_name, WorkerId) (increase(ray_vllm:request_success_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="{{finished_reason}} - {{model_name}} - {{WorkerId}}", ), ], @@ -229,7 +229,7 @@ unit="s", targets=[ Target( - expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_queue_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_queue_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="{{model_name}} - {{WorkerId}}", ), ], @@ -245,11 +245,11 @@ unit="s", targets=[ Target( - expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_decode_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_decode_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="Decode - {{model_name}} - {{WorkerId}}", ), Target( - expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_prefill_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_prefill_time_seconds_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="Prefill - {{model_name}} - {{WorkerId}}", ), ], @@ -265,7 +265,7 @@ unit="none", targets=[ Target( - expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_max_num_generation_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]))', + expr='sum by(model_name, WorkerId) (rate(ray_vllm:request_max_num_generation_tokens_sum{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]))', legend="{{model_name}} - {{WorkerId}}", ), ], @@ -281,7 +281,7 @@ unit="percentunit", targets=[ Target( - expr='increase(ray_vllm:gpu_prefix_cache_hits_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s]) / increase(ray_vllm:gpu_prefix_cache_queries_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[30s])', + expr='increase(ray_vllm:gpu_prefix_cache_hits_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval]) / increase(ray_vllm:gpu_prefix_cache_queries_total{{model_name=~"$vllm_model_name", WorkerId=~"$workerid", {global_filters}}}[$interval])', legend="GPU: {{model_name}} - {{WorkerId}}", ), ], diff --git a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json index 24ff67a2205d..dd0317faa666 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json +++ b/python/ray/dashboard/modules/metrics/dashboards/serve_llm_grafana_dashboard_base.json @@ -89,6 +89,46 @@ "$__all" ] } + }, + { + "name": "interval", + "label": "Interval", + "type": "custom", + "hide": 0, + "includeAll": false, + "multi": false, + "options": [ + { + "selected": true, + "text": "30s", + "value": "30s" + }, + { + "selected": false, + "text": "1m", + "value": "1m" + }, + { + "selected": false, + "text": "5m", + "value": "5m" + }, + { + "selected": false, + "text": "10m", + "value": "10m" + }, + { + "selected": false, + "text": "15m", + "value": "15m" + } + ], + "current": { + "selected": true, + "text": "5m", + "value": "5m" + } } ] }, From d1715c15f6d55e75281ee8c82889c130c3cb31d1 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Thu, 18 Sep 2025 17:47:29 -0700 Subject: [PATCH 1290/1566] [core][rdt] Support using ray.get with nixl to retrieve data from GPU object refs created by remote tasks. (#56559) Before this pr, we only support using `ray.get()` with nixl to retrieve data from a GPU object ref which is created by `ray.put()`. With this pr, we can support using `ray.get()` with nixl for gpu object ref created by remote tasks. Example: ```python actor = GPUTestActor.remote() tensor = torch.tensor([1, 2, 3]).to("cuda") ref = actor.echo.remote(tensor, "cuda") assert torch.equal(ray.get(ref, _tensor_transport="nixl"), tensor) ``` --------- Signed-off-by: Qiaolin-Yu Signed-off-by: Stephanie Wang Co-authored-by: Stephanie Wang Signed-off-by: Douglas Strodtman --- doc/source/ray-core/direct-transport.rst | 4 +-- .../doc_code/direct_transport_gloo.py | 16 +++++++++- python/ray/_private/serialization.py | 2 +- python/ray/_private/worker.py | 2 +- .../gpu_object_manager/gpu_object_manager.py | 31 ++++++++++++++----- .../gpu_objects/test_gpu_objects_gloo.py | 18 +++++------ .../gpu_objects/test_gpu_objects_nixl.py | 25 +++++++++++++-- python/ray/util/collective/collective.py | 3 +- .../collective_group/nixl_backend.py | 5 +++ 9 files changed, 81 insertions(+), 25 deletions(-) diff --git a/doc/source/ray-core/direct-transport.rst b/doc/source/ray-core/direct-transport.rst index d8d08a7c163c..bf591bd8a577 100644 --- a/doc/source/ray-core/direct-transport.rst +++ b/doc/source/ray-core/direct-transport.rst @@ -140,9 +140,9 @@ For example: ``ray.get`` ^^^^^^^^^^^ -The :func:`ray.get ` function can also be used as usual to retrieve the result of an RDT object, via Ray's object store. +The :func:`ray.get ` function can also be used as usual to retrieve the result of an RDT object. However, :func:`ray.get ` will by default use the same tensor transport as the one specified in the :func:`@ray.method ` decorator. For collective-based transports, this will not work if the caller is not part of the collective group. -.. TODO: This example needs to be updated once we change the default transport for ray.get to match the ray.method transport. +Therefore, users need to specify the Ray object store as the tensor transport explicitly by setting ``_tensor_transport`` in :func:`ray.get `. .. literalinclude:: doc_code/direct_transport_gloo.py :language: python diff --git a/doc/source/ray-core/doc_code/direct_transport_gloo.py b/doc/source/ray-core/doc_code/direct_transport_gloo.py index 282ee55a8d63..517854807953 100644 --- a/doc/source/ray-core/doc_code/direct_transport_gloo.py +++ b/doc/source/ray-core/doc_code/direct_transport_gloo.py @@ -106,6 +106,7 @@ def sum(self, tensor_dict: dict): # __gloo_intra_actor_start__ import torch import ray +import pytest from ray.experimental.collective import create_collective_group @@ -131,6 +132,19 @@ def sum(self, tensor: torch.Tensor): # __gloo_intra_actor_end__ # __gloo_get_start__ -print(ray.get(tensor)) + +# Wrong example of ray.get(). Since the tensor transport in the @ray.method decorator is Gloo, +# ray.get() will try to use Gloo to fetch the tensor, which is not supported +# because the caller is not part of the collective group. +with pytest.raises(ValueError) as e: + ray.get(tensor) + +assert ( + "Currently ray.get() only supports OBJECT_STORE and NIXL tensor transport, got TensorTransportEnum.GLOO, please specify the correct tensor transport in ray.get()" + in str(e.value) +) + +# Correct example of ray.get(), explicitly setting the tensor transport to use the Ray object store. +print(ray.get(tensor, _tensor_transport="object_store")) # torch.Tensor(...) # __gloo_get_end__ diff --git a/python/ray/_private/serialization.py b/python/ray/_private/serialization.py index 414297e97112..a9033dea4967 100644 --- a/python/ray/_private/serialization.py +++ b/python/ray/_private/serialization.py @@ -696,7 +696,7 @@ def store_gpu_objects(self, obj_id: str, tensors: List["torch.Tensor"]): obj_id is not None ), "`obj_id` is required, and it is the key to retrieve corresponding tensors from the GPU object store." # Regardless of whether `tensors` is empty, we always store the GPU object - # in the GPU object store. This ensures that `_get_tensor_meta` is not + # in the GPU object store. This ensures that `get_tensor_transport_metadata` is not # blocked indefinitely. worker = ray._private.worker.global_worker gpu_object_manager = worker.gpu_object_manager diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index f40a8c4f0464..41c4f456fbd1 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -928,7 +928,7 @@ def deserialize_objects( # If using a non-object store transport, then tensors will be sent # out-of-band. Get them before deserializing the object store data. gpu_objects[object_id] = self.gpu_object_manager.get_gpu_object( - object_id, tensor_transport == chosen_tensor_transport + object_id, tensor_transport=chosen_tensor_transport ) # Function actor manager or the import thread may call pickle.loads diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 73ac927e355e..7285a68dbc12 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -182,6 +182,14 @@ def fetch_object( __ray_fetch_gpu_object__, ) + if tensor_transport not in [ + TensorTransportEnum.OBJECT_STORE, + TensorTransportEnum.NIXL, + ]: + raise ValueError( + f"Currently ray.get() only supports OBJECT_STORE and NIXL tensor transport, got {tensor_transport}, please specify the correct tensor transport in ray.get()." + ) + if self.gpu_object_store.has_object(obj_id): return gpu_object_meta = self.managed_gpu_object_metadata[obj_id] @@ -190,12 +198,7 @@ def fetch_object( tensor_transport_manager = get_tensor_transport_manager( tensor_transport_backend ) - tensor_transport_meta = gpu_object_meta.tensor_transport_meta - use_object_store = ( - tensor_transport == TensorTransportEnum.OBJECT_STORE - or isinstance(tensor_transport_meta, ObjectRef) - ) - if use_object_store: + if tensor_transport == TensorTransportEnum.OBJECT_STORE: tensors = ray.get( src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( __ray_fetch_gpu_object__, obj_id @@ -203,6 +206,18 @@ def fetch_object( ) self.gpu_object_store.add_object(obj_id, tensors) else: + if isinstance(gpu_object_meta.tensor_transport_meta, ObjectRef): + # If the tensor transport meta is an ObjectRef, gpu object manager + # needs to fetch the tensor transport meta from the src actor first. + fetched_meta = ray.get(gpu_object_meta.tensor_transport_meta) + + gpu_object_meta = gpu_object_meta._replace( + tensor_transport_meta=fetched_meta + ) + # Update the managed GPU object metadata so that the next time + # it doesn't need to fetch the tensor transport meta again. + self.managed_gpu_object_metadata[obj_id] = gpu_object_meta + from ray.experimental.gpu_object_manager.gpu_object_store import ( __ray_recv__, ) @@ -210,7 +225,9 @@ def fetch_object( communicator_meta = tensor_transport_manager.get_communicator_metadata( None, None, tensor_transport_backend ) - __ray_recv__(None, obj_id, tensor_transport_meta, communicator_meta) + __ray_recv__( + None, obj_id, gpu_object_meta.tensor_transport_meta, communicator_meta + ) def trigger_out_of_band_tensor_transfer( self, dst_actor: "ray.actor.ActorHandle", task_args: Tuple[Any, ...] diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index ce723104736a..df9ce44e2d7b 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -500,18 +500,18 @@ def test_fetch_gpu_object_to_driver(ray_start_regular): # Case 1: Single tensor ref = actor.echo.remote(tensor1) - assert torch.equal(ray.get(ref), tensor1) + assert torch.equal(ray.get(ref, _tensor_transport="object_store"), tensor1) # Case 2: Multiple tensors ref = actor.echo.remote([tensor1, tensor2]) - result = ray.get(ref) + result = ray.get(ref, _tensor_transport="object_store") assert torch.equal(result[0], tensor1) assert torch.equal(result[1], tensor2) # Case 3: Mixed CPU and GPU data data = [tensor1, tensor2, 7] ref = actor.echo.remote(data) - result = ray.get(ref) + result = ray.get(ref, _tensor_transport="object_store") assert torch.equal(result[0], tensor1) assert torch.equal(result[1], tensor2) assert result[2] == 7 @@ -634,8 +634,8 @@ def double(self, data): # If enable_tensor_transport is set to True, then it's okay to use # dynamic tensor_transport. ref = sender.tensor_method.options(tensor_transport="gloo").remote() - tensor = ray.get(ref) - result = ray.get(receiver.double.remote(ref)) + tensor = ray.get(ref, _tensor_transport="object_store") + result = ray.get(receiver.double.remote(ref), _tensor_transport="object_store") assert result == pytest.approx(tensor * 2) else: # If enable_tensor_transport is not set, then user cannot use @@ -688,12 +688,12 @@ def test_app_error_fetch_to_driver(ray_start_regular): ref = actor.fail.options(tensor_transport="gloo").remote("test_app_error") with pytest.raises(Exception, match="test_app_error"): - ray.get(ref) + ray.get(ref, _tensor_transport="object_store") # Make sure the driver can receive an exception from the actor. small_tensor = torch.tensor([1, 2, 3]) ref = actor.echo.remote(small_tensor) - assert torch.equal(ray.get(ref), small_tensor) + assert torch.equal(ray.get(ref, _tensor_transport="object_store"), small_tensor) def test_write_after_save(ray_start_regular): @@ -822,12 +822,12 @@ def test_send_back_and_dst_warning(ray_start_regular): t = src_actor.echo.remote(tensor) t1 = src_actor.echo.remote(t) # Sent back to the source actor t2 = dst_actor.echo.remote(t) # Also sent to another actor - ray.get([t1, t2]) + ray.get([t1, t2], _tensor_transport="object_store") # Second transmission of ObjectRef `t` to `dst_actor` should not trigger a warning # Verify no `pytest.warns` context is used here because no warning should be raised t3 = dst_actor.echo.remote(t) - ray.get(t3) + ray.get(t3, _tensor_transport="object_store") def test_duplicate_objectref_transfer(ray_start_regular): diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py index 1d57b8c675a9..efee07f4c373 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_nixl.py @@ -49,6 +49,25 @@ def gc(self): return "Success" +@pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) +def test_ray_get_gpu_ref_created_by_actor_task(ray_start_regular): + actor = GPUTestActor.remote() + tensor = torch.tensor([1, 2, 3]).to("cuda") + ref1 = actor.echo.remote(tensor, "cuda") + ref2 = actor.echo.remote(tensor, "cuda") + ref3 = actor.echo.remote(tensor, "cuda") + + # Test ray.get with default tensor transport, should use nixl here. + # TODO: Verify it's using the correct tensor transport. + assert torch.equal(ray.get(ref1), tensor) + + # # Test ray.get with nixl tensor transport + assert torch.equal(ray.get(ref2, _tensor_transport="nixl"), tensor) + + # # Test ray.get with object store tensor transport + assert torch.equal(ray.get(ref3, _tensor_transport="object_store"), tensor) + + @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) def test_p2p(ray_start_regular): num_actors = 2 @@ -66,12 +85,12 @@ def test_p2p(ray_start_regular): # Trigger tensor transfer from src to dst actor result = dst_actor.sum.remote(ref, "cuda") - assert tensor.sum().item() == ray.get(result, _tensor_transport="object_store") + assert tensor.sum().item() == ray.get(result) # Test CPU to CPU transfer ref1 = src_actor.echo.remote(tensor1, "cpu") result1 = dst_actor.sum.remote(ref1, "cpu") - assert tensor1.sum().item() == ray.get(result1, _tensor_transport="object_store") + assert tensor1.sum().item() == ray.get(result1) @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 1}], indirect=True) @@ -83,7 +102,7 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): # Intra-actor communication for pure GPU tensors ref = actor.echo.remote(tensor, "cuda") result = actor.sum.remote(ref, "cuda") - assert tensor.sum().item() == ray.get(result, _tensor_transport="object_store") + assert tensor.sum().item() == ray.get(result) @pytest.mark.parametrize("ray_start_regular", [{"num_gpus": 2}], indirect=True) diff --git a/python/ray/util/collective/collective.py b/python/ray/util/collective/collective.py index 1d92b838d7f6..06c71eacbfc4 100644 --- a/python/ray/util/collective/collective.py +++ b/python/ray/util/collective/collective.py @@ -730,7 +730,8 @@ def get_group_handle(group_name: str = "default"): Returns: The collective group handle. """ - _check_inside_actor() + if group_name != types.NIXL_GROUP_NAME: + _check_inside_actor() global _group_mgr if not is_group_initialized(group_name): # try loading from remote info store diff --git a/python/ray/util/collective/collective_group/nixl_backend.py b/python/ray/util/collective/collective_group/nixl_backend.py index 1950f952d4ef..1f8fa858d47a 100644 --- a/python/ray/util/collective/collective_group/nixl_backend.py +++ b/python/ray/util/collective/collective_group/nixl_backend.py @@ -25,6 +25,11 @@ def __init__(self): agent_config = nixl_agent_config(backends=["UCX"]) ctx = ray.get_runtime_context() actor_id = ctx.get_actor_id() + if actor_id is None: + # If the actor id is None, it means the current process is a driver. + import uuid + + actor_id = f"RAY-DRIVER-{uuid.uuid4()}" self._nixl_agent = nixl_agent(actor_id, agent_config) @classmethod From 33e175f486668db2eee5349d1f5f49b52398ee0e Mon Sep 17 00:00:00 2001 From: Praveen Date: Thu, 18 Sep 2025 21:28:49 -0700 Subject: [PATCH 1291/1566] [Data] Make object store tuning tips consistent with other pages (#56705) ## Why are these changes needed? Make the tips on Object store memory consistent with other pages in [Ray Data docs](https://docs.ray.io/en/latest/data/joining-data.html#configuring-joins) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Praveen Gorthy Signed-off-by: Douglas Strodtman --- doc/source/data/performance-tips.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/data/performance-tips.rst b/doc/source/data/performance-tips.rst index 0402842c4795..9c0d17a8d364 100644 --- a/doc/source/data/performance-tips.rst +++ b/doc/source/data/performance-tips.rst @@ -425,7 +425,7 @@ You can configure execution options with the global DataContext. The options are ) .. note:: - It's **not** recommended to modify the Ray Core object store memory limit, as this can reduce available memory for task execution. The one exception to this is if you are using machines with a very large amount of RAM (1 TB or more each); then it's recommended to set the object store to ~30-40%. + Be mindful that by default Ray reserves only 30% of the memory for its Object Store. This is recommended to be set at least to ***50%*** for all Ray Data workloads. Locality with output (ML ingest use case) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From 38b8dce3a03077795298cd15b1d4a484e618a908 Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Fri, 19 Sep 2025 00:23:18 -0700 Subject: [PATCH 1292/1566] Getting Started with PyTorch Fully Sharded Data Parallel (FSDP2) and Ray Train Template (#56298) A new workspace template that walks users through how to integrate PyTorch's FSDP2 with Ray Train. The purpose of this template is to allow customers to quickly get started with FSDP and Ray Train whether they are coming from using Distributed Data Parallel (DDP) or just getting started with training large models. For a high level overview, this template covers: - A hands-on example of training an image classification model - Model checkpoint saving and loading with PyTorch Distributed Checkpoint (DCP) - Configuring FSDP2 to mitigate out-of-memory (OOM) errors using mixed precision, CPU offloading, sharding granularity, and more - GPU memory profiling with PyTorch Profiler - Loading a distributed model for inference Link to original PR (pivoted to make available on OSS): **https://github.com/anyscale/templates/pull/463** **Testing** - This notebook was tested in an [Anyscale workspace](https://console.anyscale.com/cld_kvedZWag2qA8i5BjxUevf5i7/prj_cz951f43jjdybtzkx1s5sjgz99/workspaces/expwrk_nktjw7a3j2l5c7af9rh3n5rskw?workspace-tab=overview&command-history-section=application_logs&file=%252Fhome%252Fray%252Fdefault%252FREADME.ipynb) and ran as expected **For easy testing:** Simply copy the notebook into an Anyscale workspace (and preferably the image directory), provisioned with two T4 nodes. --------- Signed-off-by: JasonLi1909 Signed-off-by: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- doc/source/train/examples.yml | 8 +- .../pytorch/pytorch-fsdp/README.ipynb | 927 ++++++++++++++++++ .../examples/pytorch/pytorch-fsdp/README.md | 731 ++++++++++++++ .../examples/pytorch/pytorch-fsdp/ci/BUILD | 5 + .../examples/pytorch/pytorch-fsdp/ci/aws.yaml | 12 + .../examples/pytorch/pytorch-fsdp/ci/gce.yaml | 13 + .../examples/pytorch/pytorch-fsdp/ci/nb2py.py | 72 ++ .../examples/pytorch/pytorch-fsdp/ci/tests.sh | 4 + .../pytorch/pytorch-fsdp/configs/aws.yaml | 9 + .../pytorch/pytorch-fsdp/configs/gce.yaml | 10 + .../images/all_strategies_profile.png | Bin 0 -> 108291 bytes .../images/cpu_offload_profile.png | Bin 0 -> 118144 bytes .../images/gpu_memory_profile.png | Bin 0 -> 100879 bytes .../images/mixed_precision_profile.png | Bin 0 -> 95538 bytes .../reshard_after_forward_memory_profile.png | Bin 0 -> 106313 bytes release/BUILD.bazel | 1 + release/release_tests.yaml | 24 + 17 files changed, 1815 insertions(+), 1 deletion(-) create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/README.ipynb create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/README.md create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/ci/aws.yaml create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/ci/gce.yaml create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/ci/nb2py.py create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/ci/tests.sh create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/configs/aws.yaml create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/configs/gce.yaml create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/images/all_strategies_profile.png create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/images/cpu_offload_profile.png create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/images/gpu_memory_profile.png create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/images/mixed_precision_profile.png create mode 100644 doc/source/train/examples/pytorch/pytorch-fsdp/images/reshard_after_forward_memory_profile.png diff --git a/doc/source/train/examples.yml b/doc/source/train/examples.yml index 47cbd94e026f..a3670d84af7d 100644 --- a/doc/source/train/examples.yml +++ b/doc/source/train/examples.yml @@ -55,7 +55,13 @@ examples: - natural language processing contributor: community link: examples/intel_gaudi/bert - + - title: Get started with PyTorch Fully Sharded Data Parallel (FSDP2) and Ray Train + skill_level: intermediate + frameworks: + - pytorch + use_cases: + - computer vision + link: examples/pytorch/pytorch-fsdp/README - title: Train a text classifier with DeepSpeed frameworks: - deepspeed diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/README.ipynb b/doc/source/train/examples/pytorch/pytorch-fsdp/README.ipynb new file mode 100644 index 000000000000..eaacfc01c137 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/README.ipynb @@ -0,0 +1,927 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Get started with PyTorch Fully Sharded Data Parallel (FSDP2) and Ray Train\n", + "\n", + "**Time to complete:** 30 min\n", + "\n", + "This template shows how to get memory and performance improvements of integrating PyTorch's Fully Sharded Data Parallel with Ray Train. \n", + "\n", + "PyTorch's FSDP2 enables model sharding across nodes, allowing distributed training of large models with a significantly smaller memory footprint compared to standard Distributed Data Parallel (DDP). For a more detailed overview of FSDP2, see [PyTorch's official documentation](https://docs.pytorch.org/tutorials/intermediate/FSDP_tutorial.html#getting-started-with-fully-sharded-data-parallel-fsdp2). \n", + "\n", + "This tutorial provides a comprehensive, step-by-step guide on integrating PyTorch FSDP2 with Ray Train. Specifically, this guide covers the following: \n", + "\n", + "- A hands-on example of training an image classification model\n", + "- Configuring FSDP2 to mitigate out-of-memory (OOM) errors using mixed precision, CPU offloading, sharding granularity, and more\n", + "- Model checkpoint saving and loading with PyTorch Distributed Checkpoint (DCP)\n", + "- GPU memory profiling with PyTorch Profiler\n", + "- Loading a distributed model for inference\n", + "\n", + "**Note:** This notebook uses FSDP2's `fully_sharded` API. If you're using FSDP1's `FullyShardedDataParallel`, consider migrating to FSDP2 for improved performance and features such as lower memory usage and `DTensor` integration. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

    \n", + "\n", + " Anyscale Specific Configuration\n", + "\n", + "

    Note: This tutorial is optimized for the Anyscale platform. When running on open source Ray, additional configuration is required. For example, you would need to manually:

    \n", + "\n", + "
      \n", + "
    • Configure your Ray Cluster: Set up your multi-node environment and manage resource allocation without Anyscale's automation.
      • \n", + "
    • Manage Dependencies: Manually install and manage dependencies on each node.
      • \n", + "
    • Set Up Storage: Configure your own distributed or shared storage system for model checkpointing.
      • \n", + "
    \n", + "
    \n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example overview\n", + "\n", + "For demonstration purposes, this tutorial integrates Ray Train with FSDP2 using a **Vision Transformer (ViT)** trained on the FashionMNIST dataset. ViT was chosen because it has clear, repeatable block structures (transformer blocks) that are ideal for demonstrating FSDP2's sharding capabilities. \n", + "\n", + "While this example is relatively simple, FSDP's complexity can lead to common challenges during training, such as out-of-memory (OOM) errors. This guide addresses common issues by providing practical tips for improving performance and reducing memory utilization based on your specific use case. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Package and model setup\n", + "\n", + "Install the required dependencies for this tutorial:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "pip install torch\n", + "pip install torchvision\n", + "pip install matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [], + "source": [ + "# Enable Ray Train V2 for the latest train APIs\n", + "import os\n", + "os.environ[\"RAY_TRAIN_V2_ENABLED\"] = \"1\"\n", + "\n", + "# Profiling and utilities\n", + "import torch.profiler\n", + "import tempfile\n", + "import uuid\n", + "import logging\n", + "\n", + "# Set up logging\n", + "logger = logging.getLogger(__name__)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model definition\n", + "The following function initializes a Vision Transformer (ViT) model configured for the FashionMNIST dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [], + "source": [ + "# Computer vision components\n", + "from torchvision.models import VisionTransformer\n", + "from torchvision.datasets import FashionMNIST\n", + "from torchvision.transforms import ToTensor, Normalize, Compose\n", + "\n", + "def init_model() -> torch.nn.Module:\n", + " \"\"\"Initialize a Vision Transformer model for FashionMNIST classification.\n", + " \n", + " Returns:\n", + " torch.nn.Module: Configured ViT model\n", + " \"\"\"\n", + " logger.info(\"Initializing Vision Transformer model...\")\n", + "\n", + " # Create a ViT model with architecture suitable for 28x28 images\n", + " model = VisionTransformer(\n", + " image_size=28, # FashionMNIST image size\n", + " patch_size=7, # Divide 28x28 into 4x4 patches of 7x7 pixels each\n", + " num_layers=10, # Number of transformer encoder layers\n", + " num_heads=2, # Number of attention heads per layer\n", + " hidden_dim=128, # Hidden dimension size\n", + " mlp_dim=128, # MLP dimension in transformer blocks\n", + " num_classes=10, # FashionMNIST has 10 classes\n", + " )\n", + "\n", + " # Modify the patch embedding layer for grayscale images (1 channel instead of 3)\n", + " model.conv_proj = torch.nn.Conv2d(\n", + " in_channels=1, # FashionMNIST is grayscale (1 channel)\n", + " out_channels=128, # Match the hidden_dim\n", + " kernel_size=7, # Match patch_size\n", + " stride=7, # Non-overlapping patches\n", + " )\n", + "\n", + " return model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Define the training function\n", + "\n", + "Below is the main training function that orchestrates the FSDP2 training process. The following sections implement each of the helper functions used in this training loop. First, make the necessary imports for the training function:" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [], + "source": [ + "# Ray Train imports\n", + "import ray\n", + "import ray.train\n", + "import ray.train.torch\n", + "\n", + "# PyTorch Core import\n", + "import torch\n", + "\n", + "# PyTorch training components\n", + "from torch.nn import CrossEntropyLoss\n", + "from torch.optim import Adam\n", + "from torch.utils.data import DataLoader" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [], + "source": [ + "def train_func(config):\n", + " \"\"\"Main training function that integrates FSDP2 with Ray Train.\n", + " \n", + " Args:\n", + " config: Training configuration dictionary containing hyperparameters\n", + " \"\"\"\n", + " # Initialize the model\n", + " model = init_model()\n", + "\n", + " # Configure device and move model to GPU\n", + " device = ray.train.torch.get_device()\n", + " torch.cuda.set_device(device)\n", + " model.to(device)\n", + "\n", + " # Apply FSDP2 sharding to the model\n", + " shard_model(model)\n", + "\n", + " # Initialize loss function and optimizer\n", + " criterion = CrossEntropyLoss()\n", + " optimizer = Adam(model.parameters(), lr=config.get('learning_rate', 0.001))\n", + "\n", + " # Load from checkpoint if available (for resuming training)\n", + " loaded_checkpoint = ray.train.get_checkpoint()\n", + " if loaded_checkpoint:\n", + " load_fsdp_checkpoint(model, optimizer, loaded_checkpoint)\n", + "\n", + " # Prepare training data\n", + " transform = Compose([\n", + " ToTensor(), \n", + " Normalize((0.5,), (0.5,))\n", + " ])\n", + " data_dir = os.path.join(tempfile.gettempdir(), \"data\")\n", + " train_data = FashionMNIST(\n", + " root=data_dir, train=True, download=True, transform=transform\n", + " )\n", + " train_loader = DataLoader(\n", + " train_data, \n", + " batch_size=config.get('batch_size', 64), \n", + " shuffle=True\n", + " )\n", + " # Prepare data loader for distributed training\n", + " train_loader = ray.train.torch.prepare_data_loader(train_loader)\n", + "\n", + " world_rank = ray.train.get_context().get_world_rank()\n", + "\n", + " # Set up PyTorch Profiler for memory monitoring\n", + " with torch.profiler.profile(\n", + " activities=[\n", + " torch.profiler.ProfilerActivity.CPU,\n", + " torch.profiler.ProfilerActivity.CUDA,\n", + " ],\n", + " schedule=torch.profiler.schedule(wait=0, warmup=0, active=6, repeat=1),\n", + " record_shapes=True,\n", + " profile_memory=True,\n", + " with_stack=True,\n", + " ) as prof:\n", + "\n", + " # Main training loop\n", + " running_loss = 0.0\n", + " num_batches = 0\n", + " epochs = config.get('epochs', 5)\n", + " \n", + " for epoch in range(epochs):\n", + " # Set epoch for distributed sampler to ensure proper shuffling\n", + " if ray.train.get_context().get_world_size() > 1:\n", + " train_loader.sampler.set_epoch(epoch)\n", + "\n", + " for images, labels in train_loader:\n", + " # Note: prepare_data_loader automatically moves data to the correct device\n", + " outputs = model(images)\n", + " loss = criterion(outputs, labels)\n", + " \n", + " # Standard training step\n", + " optimizer.zero_grad()\n", + " loss.backward()\n", + " optimizer.step()\n", + " \n", + " # Update profiler\n", + " prof.step()\n", + " \n", + " # Track metrics\n", + " running_loss += loss.item()\n", + " num_batches += 1\n", + "\n", + " # Report metrics and save checkpoint after each epoch\n", + " avg_loss = running_loss / num_batches\n", + " metrics = {\"loss\": avg_loss, \"epoch\": epoch}\n", + " report_metrics_and_save_fsdp_checkpoint(model, optimizer, metrics)\n", + "\n", + " # Log metrics from rank 0 only to avoid duplicate outputs\n", + " if world_rank == 0:\n", + " logger.info(metrics)\n", + " \n", + " # Export memory profiling results to cluster storage\n", + " run_name = ray.train.get_context().get_experiment_name()\n", + " prof.export_memory_timeline(\n", + " f\"/mnt/cluster_storage/{run_name}/rank{world_rank}_memory_profile.html\"\n", + " )\n", + "\n", + " # Save the final model for inference\n", + " save_model_for_inference(model, world_rank)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Storage Configuration\n", + "\n", + "This demo uses cluster storage to allow for quick iteration and development, but this may not be suitable in production environments or at high scale. In those cases, you should use object storage instead. For more information about how to select your storage type, see the [Anyscale storage configuration docs](https://docs.anyscale.com/configuration/storage)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Model sharding with FSDP2\n", + "\n", + "PyTorch's `fully_shard` enables sharding at various granularities. At the most granular level, you can shard every layer to minimize peak memory utilization, but this also increases communication costs between Ray Train workers. Experiment with different sharding granularities to find the optimal balance for your use case. This example only shards the encoder blocks—the largest layers in the Vision Transformer.\n", + "\n", + "Beyond sharding granularity, FSDP2 offers several configuration options to optimize performance and mitigate OOM errors:\n", + "\n", + "### Device mesh configuration\n", + "\n", + "`init_device_mesh` configures a `DeviceMesh` that describes the training run's device topology. This example uses a simple 1D mesh for data parallelism, but `DeviceMesh` also supports multi-dimensional parallelism approaches including tensor parallelism and pipeline parallelism. In many cases, integrating several types of parallelism can further help to improve training performance.\n", + "\n", + "For more information about advanced multi-dimensional parallelism configurations, see the [PyTorch device mesh documentation](https://docs.pytorch.org/tutorials/recipes/distributed_device_mesh.html).\n", + "\n", + "### CPU offloading \n", + "\n", + "CPU offloading reduces GPU memory footprint by storing model components in the CPU. However, this comes with the trade-off of increased data transfer overhead between CPU and GPU during computation.\n", + "\n", + "**CPU offloading does the following:**\n", + "- Stores sharded parameters, gradients, and optimizer states on CPU\n", + "- Copies sharded parameters to GPU during forward/backward computation and frees them after use\n", + "- Copies computed gradients to the CPU where PyTorch computes the optimizer step\n", + "\n", + "**When to use CPU offloading:**\n", + "- When GPU memory is constrained\n", + "- For very large models that don't fit in GPU memory\n", + "\n", + "**Don't use CPU offloading in the following cases:**\n", + "- When CPU memory is limited (can cause CPU crashes due to out-of-memory error)\n", + "- When training speed is more important than memory usage\n", + "\n", + "
    \n", + "
    \n", + "

    Without CPU offloading

    \n", + " \n", + "
    \n", + "
    \n", + "

    With CPU offloading

    \n", + " \n", + "
    \n", + "
    \n", + "Note: The above images are generated using PyTorch's Memory Profiler, which this tutorial covers later.\n", + "\n", + "It can be seen that CPU offloading significantly reduces the amount of GPU memory occupied by model parameters. \n", + "\n", + "Learn more about CPU offloading in the [PyTorch documentation](https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_shard.html#torch.distributed.fsdp.CPUOffloadPolicy).\n", + "\n", + "\n", + "### `reshard_after_forward` flag \n", + "`fully_shard` has a `reshard_after_forward` flag that enables all-gathered model weights to be freed immediately after the forward pass. This reduces peak GPU memory usage but increases the communication overhead between workers during the backward pass as parameters need to be all-gathered again. If unsharded model parameters are able to completely fit on each worker and don't pose a memory bottleneck, there's no need to enable `reshard_after_forward`.\n", + "\n", + "
    \n", + "
    \n", + "

    reshard_after_forward=False

    \n", + " \n", + "
    \n", + "
    \n", + "

    reshard_after_forward=True

    \n", + " \n", + "
    \n", + "
    \n", + "\n", + "With `reshard_after_forward=True`, the memory allocated to model parameters drops after the forward step whereas it peaks when `reshard_after_forward=False`.\n", + "\n", + "### Mixed precision\n", + "\n", + "Enabling mixed precision accelerates training and reduces GPU memory usage with minimal accuracy impact.\n", + "\n", + "**Benefits of mixed precision with FSDP2**\n", + "- Reduced memory usage for activations and intermediate computations\n", + "- Faster computation on modern GPUs\n", + "- Maintained numerical stability through selective precision\n", + "\n", + "
    \n", + "
    \n", + "

    Without mixed precision

    \n", + " \n", + "
    \n", + "
    \n", + "

    With mixed precision

    \n", + " \n", + "
    \n", + "
    \n", + "\n", + "With mixed precision enabled, the peak memory allocated to activations is halved.\n", + "\n", + "Learn more about mixed precision configuration on the [PyTorch documentation](https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_shard.html#torch.distributed.fsdp.MixedPrecisionPolicy).\n", + "\n", + "### Combining Memory Strategies\n", + "\n", + "The below diagram compares the GPU memory profile of default sharding to when all of the above strategies are enabled (CPU Offloading, Mixed Precision, `reshard_after_forward=True`).\n", + "\n", + "
    \n", + "
    \n", + "

    Default Sharding

    \n", + " \n", + "
    \n", + "
    \n", + "

    Combined CPU Offloading, Mixed Precision, and Resharding

    \n", + " \n", + "
    \n", + "
    \n" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [], + "source": [ + "# FSDP2 sharding imports \n", + "from torch.distributed.fsdp import (\n", + " fully_shard,\n", + " FSDPModule,\n", + " CPUOffloadPolicy,\n", + " MixedPrecisionPolicy,\n", + ")\n", + "from torch.distributed.device_mesh import init_device_mesh " + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": {}, + "outputs": [], + "source": [ + "def shard_model(model: torch.nn.Module): \n", + " \"\"\"Apply FSDP2 sharding to the model with optimized configuration.\n", + " \n", + " Args:\n", + " model: The PyTorch model to shard\n", + " \"\"\"\n", + " logger.info(\"Applying FSDP2 sharding to model...\")\n", + "\n", + " # Step 1: Create 1D device mesh for data parallel sharding\n", + " world_size = ray.train.get_context().get_world_size()\n", + " mesh = init_device_mesh(\n", + " device_type=\"cuda\", \n", + " mesh_shape=(world_size,), \n", + " mesh_dim_names=(\"data_parallel\",)\n", + " )\n", + "\n", + " # Step 2: Configure CPU offloading policy (optional)\n", + " offload_policy = CPUOffloadPolicy()\n", + "\n", + " # Step 3: Configure mixed precision policy (optional)\n", + " mp_policy = MixedPrecisionPolicy(\n", + " param_dtype=torch.float16, # Store parameters in half precision\n", + " reduce_dtype=torch.float16, # Use half precision for gradient reduction\n", + " )\n", + "\n", + " # Step 4: Apply sharding to each transformer encoder block\n", + " for encoder_block in model.encoder.layers.children():\n", + " fully_shard(\n", + " encoder_block, \n", + " mesh=mesh, \n", + " reshard_after_forward=True, # Free memory after forward pass\n", + " offload_policy=offload_policy, \n", + " mp_policy=mp_policy\n", + " )\n", + "\n", + " # Step 5: Apply sharding to the root model\n", + " # This wraps the entire model and enables top-level FSDP2 functionality\n", + " fully_shard(\n", + " model, \n", + " mesh=mesh, \n", + " reshard_after_forward=True, # Free memory after forward pass\n", + " offload_policy=offload_policy, \n", + " mp_policy=mp_policy\n", + " )\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Distributed Checkpointing\n", + "This section sets up distributed checkpointing, loads a distributed model from a checkpoint, saves distributed model checkpoints, and saves a model for inference. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Distributed checkpoint wrapper setup\n", + "\n", + "This section creates a checkpointing wrapper using PyTorch's `Stateful` API to simplify distributed checkpoint management. From the PyTorch docs, this basic wrapper handles the complexities of saving and loading FSDP2 model states across multiple workers." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "metadata": {}, + "outputs": [], + "source": [ + "# PyTorch Distributed Checkpoint (DCP) imports\n", + "from torch.distributed.checkpoint.state_dict import (\n", + " get_state_dict,\n", + " set_state_dict,\n", + " get_model_state_dict,\n", + " StateDictOptions\n", + ")\n", + "from torch.distributed.checkpoint.stateful import Stateful" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [], + "source": [ + "class AppState(Stateful):\n", + " \"\"\"This is a useful wrapper for checkpointing the Application State. Because this object is compliant\n", + " with the Stateful protocol, PyTorch DCP automatically calls state_dict/load_state_dict as needed in the\n", + " dcp.save/load APIs.\n", + "\n", + " Note: This wrapper is used to handle calling distributed state dict methods on the model\n", + " and optimizer.\n", + " \"\"\"\n", + "\n", + " def __init__(self, model, optimizer=None):\n", + " self.model = model\n", + " self.optimizer = optimizer\n", + "\n", + " def state_dict(self):\n", + " # this line automatically manages FSDP2 FQN's (Fully Qualified Name), as well as sets the default state dict type to FSDP.SHARDED_STATE_DICT\n", + " model_state_dict, optimizer_state_dict = get_state_dict(self.model, self.optimizer)\n", + " return {\n", + " \"model\": model_state_dict,\n", + " \"optim\": optimizer_state_dict\n", + " }\n", + "\n", + " def load_state_dict(self, state_dict):\n", + " # sets our state dicts on the model and optimizer, now that loading is complete\n", + " set_state_dict(\n", + " self.model,\n", + " self.optimizer,\n", + " model_state_dict=state_dict[\"model\"],\n", + " optim_state_dict=state_dict[\"optim\"],\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load distributed model from checkpoint\n", + "\n", + "Load distributed checkpoints using `dcp.load`, which automatically handles resharding when the number of workers changes between training runs. This flexibility allows you to resume training with different resource configurations. " + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": {}, + "outputs": [], + "source": [ + "# PyTorch Distributed Checkpoint (DCP) Core import\n", + "import torch.distributed.checkpoint as dcp" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [], + "source": [ + "def load_fsdp_checkpoint(model: FSDPModule, optimizer: torch.optim.Optimizer, ckpt: ray.train.Checkpoint):\n", + " \"\"\"Load an FSDP checkpoint into the model and optimizer.\n", + " \n", + " This function handles distributed checkpoint loading with automatic resharding\n", + " support. It can restore checkpoints even when the number of workers differs\n", + " from the original training run.\n", + " \n", + " Args:\n", + " model: The FSDP-wrapped model to load state into\n", + " optimizer: The optimizer to load state into\n", + " ckpt: Ray Train checkpoint containing the saved state\n", + " \"\"\"\n", + " logger.info(\"Loading distributed checkpoint for resuming training...\")\n", + " \n", + " try:\n", + " with ckpt.as_directory() as checkpoint_dir:\n", + " # Create state wrapper for DCP loading\n", + " state_dict = {\"app\": AppState(model, optimizer)}\n", + " \n", + " # Load the distributed checkpoint\n", + " dcp.load(\n", + " state_dict=state_dict,\n", + " checkpoint_id=checkpoint_dir\n", + " )\n", + " \n", + " logger.info(\"Successfully loaded distributed checkpoint\")\n", + " except Exception as e:\n", + " logger.error(f\"Failed to load checkpoint: {e}\")\n", + " raise RuntimeError(f\"Checkpoint loading failed: {e}\") from e" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Save model checkpoints\n", + "\n", + "The following function handles periodic checkpoint saving during training, combining metrics reporting with distributed checkpoint storage:" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [], + "source": [ + "def report_metrics_and_save_fsdp_checkpoint(\n", + " model: FSDPModule, optimizer: torch.optim.Optimizer, metrics: dict\n", + ") -> None:\n", + " \"\"\"Report training metrics and save an FSDP checkpoint.\n", + " \n", + " This function performs two critical operations:\n", + " 1. Saves the current model and optimizer state using distributed checkpointing\n", + " 2. Reports metrics to Ray Train for tracking\n", + " \n", + " Args:\n", + " model: The FSDP-wrapped model to checkpoint\n", + " optimizer: The optimizer to checkpoint\n", + " metrics: Dictionary of metrics to report (e.g., loss, accuracy)\n", + " \"\"\"\n", + " logger.info(\"Saving checkpoint and reporting metrics...\")\n", + " \n", + " with tempfile.TemporaryDirectory() as temp_checkpoint_dir:\n", + " # Perform a distributed checkpoint with DCP\n", + " state_dict = {\"app\": AppState(model, optimizer)}\n", + " dcp.save(state_dict=state_dict, checkpoint_id=temp_checkpoint_dir)\n", + "\n", + " # Report each checkpoint shard from all workers\n", + " # This saves the checkpoint to shared cluster storage for persistence\n", + " checkpoint = ray.train.Checkpoint.from_directory(temp_checkpoint_dir)\n", + " ray.train.report(metrics, checkpoint=checkpoint)\n", + " \n", + " logger.info(f\"Checkpoint saved successfully. Metrics: {metrics}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Save the model for inference\n", + "\n", + "After training, it is often useful to consolidate sharded checkpoints into a single file for convenient sharing or inference. Unlike regular distributed checkpointing, this process produces a large artifact compatible with torch.load. To do so, the `get_model_state_dict` function all-gathers parameter shards to rank 0, reconstructs the full state dict, and then saves the consolidated checkpoint to cluster storage.\n", + "\n", + "Note that a key limitation of this approach is that the entire model must be materialized in memory on rank 0. For large models, this can exceed the available CPU RAM and result in out-of-memory errors. In such cases, it is advised to keep the model in its sharded format and rely on distributed model loading for inference." + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [], + "source": [ + "def save_model_for_inference(model: FSDPModule, world_rank: int) -> None:\n", + " \"\"\"Save the complete unsharded model for inference.\n", + " \n", + " This function consolidates the distributed model weights into a single\n", + " checkpoint file that can be used for inference without FSDP.\n", + " \n", + " Args:\n", + " model: The FSDP2-wrapped model to save\n", + " world_rank: The rank of the current worker\n", + " \"\"\"\n", + " logger.info(\"Preparing model for inference...\")\n", + " \n", + " with tempfile.TemporaryDirectory() as temp_checkpoint_dir:\n", + " save_file = os.path.join(temp_checkpoint_dir, \"full-model.pt\")\n", + "\n", + " # Step 1: All-gather the model state across all ranks\n", + " # This reconstructs the complete model from distributed shards\n", + " model_state_dict = get_model_state_dict(\n", + " model=model,\n", + " options=StateDictOptions(\n", + " full_state_dict=True, # Reconstruct full model\n", + " cpu_offload=True, # Move to CPU to save GPU memory\n", + " )\n", + " )\n", + "\n", + " logger.info(\"Successfully retrieved complete model state dict\")\n", + " checkpoint = None\n", + "\n", + " # Step 2: Save the complete model (rank 0 only)\n", + " if world_rank == 0: \n", + " torch.save(model_state_dict, save_file)\n", + " logger.info(f\"Saved complete model to {save_file}\")\n", + "\n", + " # Create checkpoint for shared storage\n", + " checkpoint = ray.train.Checkpoint.from_directory(temp_checkpoint_dir)\n", + "\n", + " # Step 3: Report the final checkpoint to Ray Train\n", + " ray.train.report(\n", + " {}, \n", + " checkpoint=checkpoint, \n", + " checkpoint_dir_name=\"full_model\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Launching the distributed training job\n", + "\n", + "This section configures and launches the distributed training job using Ray Train's TorchTrainer:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Configure distributed training resources\n", + "scaling_config = ray.train.ScalingConfig(\n", + " num_workers=2, # Number of distributed workers\n", + " use_gpu=True # Enable GPU training\n", + ")\n", + "\n", + "# Configure training parameters\n", + "train_loop_config = {\n", + " \"epochs\": 5,\n", + " \"learning_rate\": 0.001,\n", + " \"batch_size\": 64,\n", + "}\n", + "\n", + "# Create experiment name\n", + "experiment_name=f\"fsdp_mnist_{uuid.uuid4().hex[:8]}\"\n", + "\n", + "# Configure run settings and storage\n", + "run_config = ray.train.RunConfig(\n", + " # Persistent storage path accessible across all worker nodes\n", + " storage_path=\"/mnt/cluster_storage/\",\n", + " # Unique experiment name (use consistent name to resume from checkpoints)\n", + " name=experiment_name,\n", + " # Fault tolerance configuration\n", + " failure_config=ray.train.FailureConfig(max_failures=1),\n", + ")\n", + "\n", + "# Initialize and launch the distributed training job\n", + "trainer = ray.train.torch.TorchTrainer(\n", + " train_loop_per_worker=train_func,\n", + " scaling_config=scaling_config,\n", + " train_loop_config=train_loop_config,\n", + " run_config=run_config,\n", + ")\n", + "\n", + "print(\"Starting FSDP2 training job...\")\n", + "result = trainer.fit()\n", + "print(\"Training completed successfully!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## GPU memory profiling\n", + "\n", + "GPU memory profiling is a useful tool for monitoring and analyzing memory usage during model training. It helps identify bottlenecks, optimize resource allocation, and prevent OOM errors. PyTorch's GPU Memory Profiler is configured within the training function.\n", + "\n", + "In this demo, the profiler is configured to generate a profiling file for each worker accessible from cluster storage under the Anyscale Files tab. To inspect a worker's memory profile, download the corresponding HTML file and open it in your browser. The profiler configuration and export path can be customized within the training function. For more details on PyTorch's memory profiler, see the [PyTorch blog](https://pytorch.org/blog/understanding-gpu-memory-1/).\n", + "\n", + "
    \n", + "
    \n", + "

    Example memory profile

    \n", + " \n", + "
    \n", + "
    \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Post training directory view\n", + "The Anyscale platform saves the checkpoint shards, full model, and memory profiling reports in cluster storage with the following layout:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```\n", + "/mnt/cluster_storage/fsdp_mnist_1/\n", + "├── checkpoint_1/\n", + "│ ├── __0_0.distcp # Shard file for rank 0\n", + "│ └── __1_0.distcp # Shard file for rank 1\n", + "├── checkpoint_2/\n", + "│ └── ... (similar structure)\n", + "├── checkpoint_3/\n", + "│ └── ... (similar structure)\n", + "├── ... # Additional checkpoints\n", + "├── full_model/\n", + "│ └── full_model.pt # Full model checkpoint (for inference/deployment)\n", + "├── checkpoint_manager_snapshot.json\n", + "├── rank0_memory_profile.html # Memory profiling for rank 0\n", + "└── rank1_memory_profile.html # Memory profiling for rank 1\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Loading the trained model for inference\n", + "\n", + "After training completes, you can load the saved model for inference on new data. Ray Train loads the model in its unsharded form, ready for standard PyTorch inference." + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "# Update this path to match your trained model location\n", + "# The path follows the pattern: /mnt/cluster_storage/{experiment_name}/full_model/full-model.pt\n", + "PATH_TO_FULL_MODEL = f\"/mnt/cluster_storage/{experiment_name}/full_model/full-model.pt\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize the same model architecture for inference\n", + "model = init_model()\n", + "\n", + "# Load the trained weights \n", + "state_dict = torch.load(PATH_TO_FULL_MODEL, map_location='cpu')\n", + "model.load_state_dict(state_dict)\n", + "model.eval()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Load the test data\n", + "transform = Compose([ToTensor(), Normalize((0.5,), (0.5,))])\n", + "test_data = FashionMNIST(\n", + " root=\".\", train=False, download=True, transform=transform\n", + ")\n", + "test_data" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicted_label=8 test_label=9\n" + ] + } + ], + "source": [ + "# Test model inference\n", + "with torch.no_grad():\n", + " out = model(test_data.data[0].reshape(1, 1, 28, 28).float())\n", + " predicted_label = out.argmax().item()\n", + " test_label = test_data.targets[0].item()\n", + " print(f\"{predicted_label=} {test_label=}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "In this tutorial, you did the following: \n", + "\n", + "- Trained an image classification model using FSDP2 and Ray Train\n", + "- Learned how to load and save distributed checkpoints with PyTorch DCP\n", + "- Gained insight on configuring FSDP2 to balance training performance and memory usage\n", + "- Unlocked multi-node GPU memory observability with PyTorch Memory Profiler" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + }, + "orphan": true + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/README.md b/doc/source/train/examples/pytorch/pytorch-fsdp/README.md new file mode 100644 index 000000000000..9679d01333e2 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/README.md @@ -0,0 +1,731 @@ +# Get started with PyTorch Fully Sharded Data Parallel (FSDP2) and Ray Train + +**Time to complete:** 30 min + +This template shows how to get memory and performance improvements of integrating PyTorch's Fully Sharded Data Parallel with Ray Train. + +PyTorch's FSDP2 enables model sharding across nodes, allowing distributed training of large models with a significantly smaller memory footprint compared to standard Distributed Data Parallel (DDP). For a more detailed overview of FSDP2, see [PyTorch's official documentation](https://docs.pytorch.org/tutorials/intermediate/FSDP_tutorial.html#getting-started-with-fully-sharded-data-parallel-fsdp2). + +This tutorial provides a comprehensive, step-by-step guide on integrating PyTorch FSDP2 with Ray Train. Specifically, this guide covers the following: + +- A hands-on example of training an image classification model +- Configuring FSDP2 to mitigate out-of-memory (OOM) errors using mixed precision, CPU offloading, sharding granularity, and more +- Model checkpoint saving and loading with PyTorch Distributed Checkpoint (DCP) +- GPU memory profiling with PyTorch Profiler +- Loading a distributed model for inference + +**Note:** This notebook uses FSDP2's `fully_sharded` API. If you're using FSDP1's `FullyShardedDataParallel`, consider migrating to FSDP2 for improved performance and features such as lower memory usage and `DTensor` integration. + +
    + + Anyscale Specific Configuration + +

    Note: This tutorial is optimized for the Anyscale platform. When running on open source Ray, additional configuration is required. For example, you would need to manually:

    + +
      +
    • Configure your Ray Cluster: Set up your multi-node environment and manage resource allocation without Anyscale's automation.
      • +
    • Manage Dependencies: Manually install and manage dependencies on each node.
      • +
    • Set Up Storage: Configure your own distributed or shared storage system for model checkpointing.
      • +
    +
    + + + +## Example overview + +For demonstration purposes, this tutorial integrates Ray Train with FSDP2 using a **Vision Transformer (ViT)** trained on the FashionMNIST dataset. ViT was chosen because it has clear, repeatable block structures (transformer blocks) that are ideal for demonstrating FSDP2's sharding capabilities. + +While this example is relatively simple, FSDP's complexity can lead to common challenges during training, such as out-of-memory (OOM) errors. This guide addresses common issues by providing practical tips for improving performance and reducing memory utilization based on your specific use case. + +## 1. Package and model setup + +Install the required dependencies for this tutorial: + + +```bash +%%bash +pip install torch +pip install torchvision +pip install matplotlib +``` + + +```python +# Enable Ray Train V2 for the latest train APIs +import os +os.environ["RAY_TRAIN_V2_ENABLED"] = "1" + +# Profiling and utilities +import torch.profiler +import tempfile +import uuid +import logging + +# Set up logging +logger = logging.getLogger(__name__) +``` + +### Model definition +The following function initializes a Vision Transformer (ViT) model configured for the FashionMNIST dataset: + + +```python +# Computer vision components +from torchvision.models import VisionTransformer +from torchvision.datasets import FashionMNIST +from torchvision.transforms import ToTensor, Normalize, Compose + +def init_model() -> torch.nn.Module: + """Initialize a Vision Transformer model for FashionMNIST classification. + + Returns: + torch.nn.Module: Configured ViT model + """ + logger.info("Initializing Vision Transformer model...") + + # Create a ViT model with architecture suitable for 28x28 images + model = VisionTransformer( + image_size=28, # FashionMNIST image size + patch_size=7, # Divide 28x28 into 4x4 patches of 7x7 pixels each + num_layers=10, # Number of transformer encoder layers + num_heads=2, # Number of attention heads per layer + hidden_dim=128, # Hidden dimension size + mlp_dim=128, # MLP dimension in transformer blocks + num_classes=10, # FashionMNIST has 10 classes + ) + + # Modify the patch embedding layer for grayscale images (1 channel instead of 3) + model.conv_proj = torch.nn.Conv2d( + in_channels=1, # FashionMNIST is grayscale (1 channel) + out_channels=128, # Match the hidden_dim + kernel_size=7, # Match patch_size + stride=7, # Non-overlapping patches + ) + + return model +``` + +## 2. Define the training function + +Below is the main training function that orchestrates the FSDP2 training process. The following sections implement each of the helper functions used in this training loop. First, make the necessary imports for the training function: + + +```python +# Ray Train imports +import ray +import ray.train +import ray.train.torch + +# PyTorch Core import +import torch + +# PyTorch training components +from torch.nn import CrossEntropyLoss +from torch.optim import Adam +from torch.utils.data import DataLoader +``` + + +```python +def train_func(config): + """Main training function that integrates FSDP2 with Ray Train. + + Args: + config: Training configuration dictionary containing hyperparameters + """ + # Initialize the model + model = init_model() + + # Configure device and move model to GPU + device = ray.train.torch.get_device() + torch.cuda.set_device(device) + model.to(device) + + # Apply FSDP2 sharding to the model + shard_model(model) + + # Initialize loss function and optimizer + criterion = CrossEntropyLoss() + optimizer = Adam(model.parameters(), lr=config.get('learning_rate', 0.001)) + + # Load from checkpoint if available (for resuming training) + loaded_checkpoint = ray.train.get_checkpoint() + if loaded_checkpoint: + load_fsdp_checkpoint(model, optimizer, loaded_checkpoint) + + # Prepare training data + transform = Compose([ + ToTensor(), + Normalize((0.5,), (0.5,)) + ]) + data_dir = os.path.join(tempfile.gettempdir(), "data") + train_data = FashionMNIST( + root=data_dir, train=True, download=True, transform=transform + ) + train_loader = DataLoader( + train_data, + batch_size=config.get('batch_size', 64), + shuffle=True + ) + # Prepare data loader for distributed training + train_loader = ray.train.torch.prepare_data_loader(train_loader) + + world_rank = ray.train.get_context().get_world_rank() + + # Set up PyTorch Profiler for memory monitoring + with torch.profiler.profile( + activities=[ + torch.profiler.ProfilerActivity.CPU, + torch.profiler.ProfilerActivity.CUDA, + ], + schedule=torch.profiler.schedule(wait=0, warmup=0, active=6, repeat=1), + record_shapes=True, + profile_memory=True, + with_stack=True, + ) as prof: + + # Main training loop + running_loss = 0.0 + num_batches = 0 + epochs = config.get('epochs', 5) + + for epoch in range(epochs): + # Set epoch for distributed sampler to ensure proper shuffling + if ray.train.get_context().get_world_size() > 1: + train_loader.sampler.set_epoch(epoch) + + for images, labels in train_loader: + # Note: prepare_data_loader automatically moves data to the correct device + outputs = model(images) + loss = criterion(outputs, labels) + + # Standard training step + optimizer.zero_grad() + loss.backward() + optimizer.step() + + # Update profiler + prof.step() + + # Track metrics + running_loss += loss.item() + num_batches += 1 + + # Report metrics and save checkpoint after each epoch + avg_loss = running_loss / num_batches + metrics = {"loss": avg_loss, "epoch": epoch} + report_metrics_and_save_fsdp_checkpoint(model, optimizer, metrics) + + # Log metrics from rank 0 only to avoid duplicate outputs + if world_rank == 0: + logger.info(metrics) + + # Export memory profiling results to cluster storage + run_name = ray.train.get_context().get_experiment_name() + prof.export_memory_timeline( + f"/mnt/cluster_storage/{run_name}/rank{world_rank}_memory_profile.html" + ) + + # Save the final model for inference + save_model_for_inference(model, world_rank) +``` + +### Storage Configuration + +This demo uses cluster storage to allow for quick iteration and development, but this may not be suitable in production environments or at high scale. In those cases, you should use object storage instead. For more information about how to select your storage type, see the [Anyscale storage configuration docs](https://docs.anyscale.com/configuration/storage). + +## 3. Model sharding with FSDP2 + +PyTorch's `fully_shard` enables sharding at various granularities. At the most granular level, you can shard every layer to minimize peak memory utilization, but this also increases communication costs between Ray Train workers. Experiment with different sharding granularities to find the optimal balance for your use case. This example only shards the encoder blocks—the largest layers in the Vision Transformer. + +Beyond sharding granularity, FSDP2 offers several configuration options to optimize performance and mitigate OOM errors: + +### Device mesh configuration + +`init_device_mesh` configures a `DeviceMesh` that describes the training run's device topology. This example uses a simple 1D mesh for data parallelism, but `DeviceMesh` also supports multi-dimensional parallelism approaches including tensor parallelism and pipeline parallelism. In many cases, integrating several types of parallelism can further help to improve training performance. + +For more information about advanced multi-dimensional parallelism configurations, see the [PyTorch device mesh documentation](https://docs.pytorch.org/tutorials/recipes/distributed_device_mesh.html). + +### CPU offloading + +CPU offloading reduces GPU memory footprint by storing model components in the CPU. However, this comes with the trade-off of increased data transfer overhead between CPU and GPU during computation. + +**CPU offloading does the following:** +- Stores sharded parameters, gradients, and optimizer states on CPU +- Copies sharded parameters to GPU during forward/backward computation and frees them after use +- Copies computed gradients to the CPU where PyTorch computes the optimizer step + +**When to use CPU offloading:** +- When GPU memory is constrained +- For very large models that don't fit in GPU memory + +**Don't use CPU offloading in the following cases:** +- When CPU memory is limited (can cause CPU crashes due to out-of-memory error) +- When training speed is more important than memory usage + +
    +
    +

    Without CPU offloading

    + +
    +
    +

    With CPU offloading

    + +
    +
    +Note: The above images are generated using PyTorch's Memory Profiler, which this tutorial covers later. + +It can be seen that CPU offloading significantly reduces the amount of GPU memory occupied by model parameters. + +Learn more about CPU offloading in the [PyTorch documentation](https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_shard.html#torch.distributed.fsdp.CPUOffloadPolicy). + + +### `reshard_after_forward` flag +`fully_shard` has a `reshard_after_forward` flag that enables all-gathered model weights to be freed immediately after the forward pass. This reduces peak GPU memory usage but increases the communication overhead between workers during the backward pass as parameters need to be all-gathered again. If unsharded model parameters are able to completely fit on each worker and don't pose a memory bottleneck, there's no need to enable `reshard_after_forward`. + +
    +
    +

    reshard_after_forward=False

    + +
    +
    +

    reshard_after_forward=True

    + +
    +
    + +With `reshard_after_forward=True`, the memory allocated to model parameters drops after the forward step whereas it peaks when `reshard_after_forward=False`. + +### Mixed precision + +Enabling mixed precision accelerates training and reduces GPU memory usage with minimal accuracy impact. + +**Benefits of mixed precision with FSDP2** +- Reduced memory usage for activations and intermediate computations +- Faster computation on modern GPUs +- Maintained numerical stability through selective precision + +
    +
    +

    Without mixed precision

    + +
    +
    +

    With mixed precision

    + +
    +
    + +With mixed precision enabled, the peak memory allocated to activations is halved. + +Learn more about mixed precision configuration on the [PyTorch documentation](https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_shard.html#torch.distributed.fsdp.MixedPrecisionPolicy). + +### Combining Memory Strategies + +The below diagram compares the GPU memory profile of default sharding to when all of the above strategies are enabled (CPU Offloading, Mixed Precision, `reshard_after_forward=True`). + +
    +
    +

    Default Sharding

    + +
    +
    +

    Combined CPU Offloading, Mixed Precision, and Resharding

    + +
    +
    + + + +```python +# FSDP2 sharding imports +from torch.distributed.fsdp import ( + fully_shard, + FSDPModule, + CPUOffloadPolicy, + MixedPrecisionPolicy, +) +from torch.distributed.device_mesh import init_device_mesh +``` + + +```python +def shard_model(model: torch.nn.Module): + """Apply FSDP2 sharding to the model with optimized configuration. + + Args: + model: The PyTorch model to shard + """ + logger.info("Applying FSDP2 sharding to model...") + + # Step 1: Create 1D device mesh for data parallel sharding + world_size = ray.train.get_context().get_world_size() + mesh = init_device_mesh( + device_type="cuda", + mesh_shape=(world_size,), + mesh_dim_names=("data_parallel",) + ) + + # Step 2: Configure CPU offloading policy (optional) + offload_policy = CPUOffloadPolicy() + + # Step 3: Configure mixed precision policy (optional) + mp_policy = MixedPrecisionPolicy( + param_dtype=torch.float16, # Store parameters in half precision + reduce_dtype=torch.float16, # Use half precision for gradient reduction + ) + + # Step 4: Apply sharding to each transformer encoder block + for encoder_block in model.encoder.layers.children(): + fully_shard( + encoder_block, + mesh=mesh, + reshard_after_forward=True, # Free memory after forward pass + offload_policy=offload_policy, + mp_policy=mp_policy + ) + + # Step 5: Apply sharding to the root model + # This wraps the entire model and enables top-level FSDP2 functionality + fully_shard( + model, + mesh=mesh, + reshard_after_forward=True, # Free memory after forward pass + offload_policy=offload_policy, + mp_policy=mp_policy + ) + +``` + +## 4. Distributed Checkpointing +This section sets up distributed checkpointing, loads a distributed model from a checkpoint, saves distributed model checkpoints, and saves a model for inference. + +### Distributed checkpoint wrapper setup + +This section creates a checkpointing wrapper using PyTorch's `Stateful` API to simplify distributed checkpoint management. From the PyTorch docs, this basic wrapper handles the complexities of saving and loading FSDP2 model states across multiple workers. + + +```python +# PyTorch Distributed Checkpoint (DCP) imports +from torch.distributed.checkpoint.state_dict import ( + get_state_dict, + set_state_dict, + get_model_state_dict, + StateDictOptions +) +from torch.distributed.checkpoint.stateful import Stateful +``` + + +```python +class AppState(Stateful): + """This is a useful wrapper for checkpointing the Application State. Because this object is compliant + with the Stateful protocol, PyTorch DCP automatically calls state_dict/load_state_dict as needed in the + dcp.save/load APIs. + + Note: This wrapper is used to handle calling distributed state dict methods on the model + and optimizer. + """ + + def __init__(self, model, optimizer=None): + self.model = model + self.optimizer = optimizer + + def state_dict(self): + # this line automatically manages FSDP2 FQN's (Fully Qualified Name), as well as sets the default state dict type to FSDP.SHARDED_STATE_DICT + model_state_dict, optimizer_state_dict = get_state_dict(self.model, self.optimizer) + return { + "model": model_state_dict, + "optim": optimizer_state_dict + } + + def load_state_dict(self, state_dict): + # sets our state dicts on the model and optimizer, now that loading is complete + set_state_dict( + self.model, + self.optimizer, + model_state_dict=state_dict["model"], + optim_state_dict=state_dict["optim"], + ) +``` + +### Load distributed model from checkpoint + +Load distributed checkpoints using `dcp.load`, which automatically handles resharding when the number of workers changes between training runs. This flexibility allows you to resume training with different resource configurations. + + +```python +# PyTorch Distributed Checkpoint (DCP) Core import +import torch.distributed.checkpoint as dcp +``` + + +```python +def load_fsdp_checkpoint(model: FSDPModule, optimizer: torch.optim.Optimizer, ckpt: ray.train.Checkpoint): + """Load an FSDP checkpoint into the model and optimizer. + + This function handles distributed checkpoint loading with automatic resharding + support. It can restore checkpoints even when the number of workers differs + from the original training run. + + Args: + model: The FSDP-wrapped model to load state into + optimizer: The optimizer to load state into + ckpt: Ray Train checkpoint containing the saved state + """ + logger.info("Loading distributed checkpoint for resuming training...") + + try: + with ckpt.as_directory() as checkpoint_dir: + # Create state wrapper for DCP loading + state_dict = {"app": AppState(model, optimizer)} + + # Load the distributed checkpoint + dcp.load( + state_dict=state_dict, + checkpoint_id=checkpoint_dir + ) + + logger.info("Successfully loaded distributed checkpoint") + except Exception as e: + logger.error(f"Failed to load checkpoint: {e}") + raise RuntimeError(f"Checkpoint loading failed: {e}") from e +``` + +### Save model checkpoints + +The following function handles periodic checkpoint saving during training, combining metrics reporting with distributed checkpoint storage: + + +```python +def report_metrics_and_save_fsdp_checkpoint( + model: FSDPModule, optimizer: torch.optim.Optimizer, metrics: dict +) -> None: + """Report training metrics and save an FSDP checkpoint. + + This function performs two critical operations: + 1. Saves the current model and optimizer state using distributed checkpointing + 2. Reports metrics to Ray Train for tracking + + Args: + model: The FSDP-wrapped model to checkpoint + optimizer: The optimizer to checkpoint + metrics: Dictionary of metrics to report (e.g., loss, accuracy) + """ + logger.info("Saving checkpoint and reporting metrics...") + + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + # Perform a distributed checkpoint with DCP + state_dict = {"app": AppState(model, optimizer)} + dcp.save(state_dict=state_dict, checkpoint_id=temp_checkpoint_dir) + + # Report each checkpoint shard from all workers + # This saves the checkpoint to shared cluster storage for persistence + checkpoint = ray.train.Checkpoint.from_directory(temp_checkpoint_dir) + ray.train.report(metrics, checkpoint=checkpoint) + + logger.info(f"Checkpoint saved successfully. Metrics: {metrics}") +``` + +### Save the model for inference + +After training, it is often useful to consolidate sharded checkpoints into a single file for convenient sharing or inference. Unlike regular distributed checkpointing, this process produces a large artifact compatible with torch.load. To do so, the `get_model_state_dict` function all-gathers parameter shards to rank 0, reconstructs the full state dict, and then saves the consolidated checkpoint to cluster storage. + +Note that a key limitation of this approach is that the entire model must be materialized in memory on rank 0. For large models, this can exceed the available CPU RAM and result in out-of-memory errors. In such cases, it is advised to keep the model in its sharded format and rely on distributed model loading for inference. + + +```python +def save_model_for_inference(model: FSDPModule, world_rank: int) -> None: + """Save the complete unsharded model for inference. + + This function consolidates the distributed model weights into a single + checkpoint file that can be used for inference without FSDP. + + Args: + model: The FSDP2-wrapped model to save + world_rank: The rank of the current worker + """ + logger.info("Preparing model for inference...") + + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + save_file = os.path.join(temp_checkpoint_dir, "full-model.pt") + + # Step 1: All-gather the model state across all ranks + # This reconstructs the complete model from distributed shards + model_state_dict = get_model_state_dict( + model=model, + options=StateDictOptions( + full_state_dict=True, # Reconstruct full model + cpu_offload=True, # Move to CPU to save GPU memory + ) + ) + + logger.info("Successfully retrieved complete model state dict") + checkpoint = None + + # Step 2: Save the complete model (rank 0 only) + if world_rank == 0: + torch.save(model_state_dict, save_file) + logger.info(f"Saved complete model to {save_file}") + + # Create checkpoint for shared storage + checkpoint = ray.train.Checkpoint.from_directory(temp_checkpoint_dir) + + # Step 3: Report the final checkpoint to Ray Train + ray.train.report( + {}, + checkpoint=checkpoint, + checkpoint_dir_name="full_model" + ) +``` + +## Launching the distributed training job + +This section configures and launches the distributed training job using Ray Train's TorchTrainer: + + +```python +# Configure distributed training resources +scaling_config = ray.train.ScalingConfig( + num_workers=2, # Number of distributed workers + use_gpu=True # Enable GPU training +) + +# Configure training parameters +train_loop_config = { + "epochs": 5, + "learning_rate": 0.001, + "batch_size": 64, +} + +# Create experiment name +experiment_name=f"fsdp_mnist_{uuid.uuid4().hex[:8]}" + +# Configure run settings and storage +run_config = ray.train.RunConfig( + # Persistent storage path accessible across all worker nodes + storage_path="/mnt/cluster_storage/", + # Unique experiment name (use consistent name to resume from checkpoints) + name=experiment_name, + # Fault tolerance configuration + failure_config=ray.train.FailureConfig(max_failures=1), +) + +# Initialize and launch the distributed training job +trainer = ray.train.torch.TorchTrainer( + train_loop_per_worker=train_func, + scaling_config=scaling_config, + train_loop_config=train_loop_config, + run_config=run_config, +) + +print("Starting FSDP2 training job...") +result = trainer.fit() +print("Training completed successfully!") + +``` + +## GPU memory profiling + +GPU memory profiling is a useful tool for monitoring and analyzing memory usage during model training. It helps identify bottlenecks, optimize resource allocation, and prevent OOM errors. PyTorch's GPU Memory Profiler is configured within the training function. + +In this demo, the profiler is configured to generate a profiling file for each worker accessible from cluster storage under the Anyscale Files tab. To inspect a worker's memory profile, download the corresponding HTML file and open it in your browser. The profiler configuration and export path can be customized within the training function. For more details on PyTorch's memory profiler, see the [PyTorch blog](https://pytorch.org/blog/understanding-gpu-memory-1/). + +
    +
    +

    Example memory profile

    + +
    +
    + + +### Post training directory view +The Anyscale platform saves the checkpoint shards, full model, and memory profiling reports in cluster storage with the following layout: + +``` +/mnt/cluster_storage/fsdp_mnist_1/ +├── checkpoint_1/ +│ ├── __0_0.distcp # Shard file for rank 0 +│ └── __1_0.distcp # Shard file for rank 1 +├── checkpoint_2/ +│ └── ... (similar structure) +├── checkpoint_3/ +│ └── ... (similar structure) +├── ... # Additional checkpoints +├── full_model/ +│ └── full_model.pt # Full model checkpoint (for inference/deployment) +├── checkpoint_manager_snapshot.json +├── rank0_memory_profile.html # Memory profiling for rank 0 +└── rank1_memory_profile.html # Memory profiling for rank 1 +``` + +## Loading the trained model for inference + +After training completes, you can load the saved model for inference on new data. Ray Train loads the model in its unsharded form, ready for standard PyTorch inference. + + +```python +# Update this path to match your trained model location +# The path follows the pattern: /mnt/cluster_storage/{experiment_name}/full_model/full-model.pt +PATH_TO_FULL_MODEL = f"/mnt/cluster_storage/{experiment_name}/full_model/full-model.pt" +``` + + +```python +# Initialize the same model architecture for inference +model = init_model() + +# Load the trained weights +state_dict = torch.load(PATH_TO_FULL_MODEL, map_location='cpu') +model.load_state_dict(state_dict) +model.eval() +``` + + +```python +# Load the test data +transform = Compose([ToTensor(), Normalize((0.5,), (0.5,))]) +test_data = FashionMNIST( + root=".", train=False, download=True, transform=transform +) +test_data +``` + + +```python +# Test model inference +with torch.no_grad(): + out = model(test_data.data[0].reshape(1, 1, 28, 28).float()) + predicted_label = out.argmax().item() + test_label = test_data.targets[0].item() + print(f"{predicted_label=} {test_label=}") +``` + + predicted_label=8 test_label=9 + + +## Summary + +In this tutorial, you did the following: + +- Trained an image classification model using FSDP2 and Ray Train +- Learned how to load and save distributed checkpoints with PyTorch DCP +- Gained insight on configuring FSDP2 to balance training performance and memory usage +- Unlocked multi-node GPU memory observability with PyTorch Memory Profiler diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD new file mode 100644 index 000000000000..6644cf3168b0 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD @@ -0,0 +1,5 @@ +filegroup( + name = "ci_yamls", + srcs = ["aws.yaml", "gce.yaml"], + visibility = ["//release:__pkg__"], +) \ No newline at end of file diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/aws.yaml b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/aws.yaml new file mode 100644 index 000000000000..3c8d3653885a --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/aws.yaml @@ -0,0 +1,12 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-central1 + +head_node_type: + name: head_node + instance_type: m5.2xlarge + +worker_node_types: + - instance_type: g4dn.xlarge + name: '1xT4:4CPU-16GB' + min_workers: 2 + max_workers: 2 diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/gce.yaml b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/gce.yaml new file mode 100644 index 000000000000..b1bf16655e47 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/gce.yaml @@ -0,0 +1,13 @@ +cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} +region: us-central1 + +head_node_type: + name: head + instance_type: n2-standard-8 + +worker_node_types: +- name: gpu_worker + instance_type: n1-standard-8-nvidia-t4-16gb-1 + min_workers: 2 + max_workers: 2 + use_spot: false diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/nb2py.py b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/nb2py.py new file mode 100644 index 000000000000..3c7f383226e5 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/nb2py.py @@ -0,0 +1,72 @@ +#!/usr/bin/env python3 +import argparse +import nbformat + + +def convert_notebook(input_path: str, output_path: str) -> None: + """ + Read a Jupyter notebook and write a Python script, converting all %%bash + cells and IPython "!" commands into subprocess.run calls that raise on error. + Cells that load or autoreload extensions are ignored. + """ + nb = nbformat.read(input_path, as_version=4) + with open(output_path, "w") as out: + for cell in nb.cells: + # Only process code cells + if cell.cell_type != "code": + continue + + lines = cell.source.splitlines() + # Skip cells that load or autoreload extensions + if any( + l.strip().startswith("%load_ext autoreload") + or l.strip().startswith("%autoreload all") + for l in lines + ): + continue + + # Detect a %%bash cell + if lines and lines[0].strip().startswith("%%bash"): + bash_script = "\n".join(lines[1:]).rstrip() + out.write("import subprocess\n") + out.write( + f"subprocess.run(r'''{bash_script}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n\n" + ) + else: + # Detect any IPython '!' shell commands in code lines + has_bang = any(line.lstrip().startswith("!") for line in lines) + if has_bang: + out.write("import subprocess\n") + for line in lines: + stripped = line.lstrip() + if stripped.startswith("!"): + cmd = stripped[1:].lstrip() + out.write( + f"subprocess.run(r'''{cmd}''',\n" + " shell=True,\n" + " check=True,\n" + " executable='/bin/bash')\n" + ) + else: + out.write(line.rstrip() + "\n") + out.write("\n") + else: + # Regular Python cell: dump as-is + out.write(cell.source.rstrip() + "\n\n") + + +def main() -> None: + parser = argparse.ArgumentParser( + description="Convert a Jupyter notebook to a Python script, preserving bash cells and '!' commands as subprocess calls." + ) + parser.add_argument("input_nb", help="Path to the input .ipynb file") + parser.add_argument("output_py", help="Path for the output .py script") + args = parser.parse_args() + convert_notebook(args.input_nb, args.output_py) + + +if __name__ == "__main__": + main() diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/tests.sh b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/tests.sh new file mode 100644 index 000000000000..27e0aca3c3f5 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/tests.sh @@ -0,0 +1,4 @@ +#!/bin/bash +python ci/nb2py.py README.ipynb README.py # convert notebook to py script +python README.py # run the converted python script +rm README.py # remove the generated script \ No newline at end of file diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/configs/aws.yaml b/doc/source/train/examples/pytorch/pytorch-fsdp/configs/aws.yaml new file mode 100644 index 000000000000..562875ccedea --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/configs/aws.yaml @@ -0,0 +1,9 @@ +head_node_type: + name: head_node + instance_type: m5.2xlarge + +worker_node_types: + - instance_type: g4dn.xlarge + name: '1xT4:4CPU-16GB' + min_workers: 2 + max_workers: 2 diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/configs/gce.yaml b/doc/source/train/examples/pytorch/pytorch-fsdp/configs/gce.yaml new file mode 100644 index 000000000000..354e7f6c9823 --- /dev/null +++ b/doc/source/train/examples/pytorch/pytorch-fsdp/configs/gce.yaml @@ -0,0 +1,10 @@ +head_node_type: + name: head + instance_type: n2-standard-8 + +worker_node_types: +- name: gpu_worker + instance_type: n1-standard-8-nvidia-t4-16gb-1 + min_workers: 2 + max_workers: 2 + use_spot: false diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/images/all_strategies_profile.png b/doc/source/train/examples/pytorch/pytorch-fsdp/images/all_strategies_profile.png new 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zR-k9>MRQjJrp(DhdeSRfjdT{jItQm+%WnJr-HT>)h1VCa&mYR;9qexpViV8_(LoEz zg?usj`O4tc$QwTlEc!4A7EYuZmkrp#b^Ny52|yG}%ua%CC@QL|N*4y^Pi1_bFMTYI z!Mo7Oln*~&17psyz|><0Xg51S#Guyivo9CDI;C-E{EK+B+>QwBgrVCIV7bN(*lDw- z3wwPjiI84;1L!U6T1EC6=!7Rd}t+=%_jNJ&Md2&|{LyFWoQ6}hSR zpk;HAYq$G<57mC}^Fe?9S0N#>e{O)mVAfA? zi#k Date: Fri, 19 Sep 2025 11:47:02 +0200 Subject: [PATCH 1293/1566] [RLlib][typing] AlgorithmConfig return-type should be Self instead upper bound (#54620) ## Why are these changes needed? Most methods in which the `AlgorithmConfig` (and its subclasses) class return a version of themself are typed as `-> AlgorithmConfig`. This is unprecise in some cases when subclasses are involved and can raise unnecessary type-errors, e.g. when using `new = PPOConfig().copy() or PPOConfig().from_dict({})`, the `new` is then typed as `AlgorithmConfig` instead of `PPOConfig`. Possible ToDo: It is basically a given, but typing_extensions could be explicitly added to requirements, I not sure where exactly to place it. ## Related issue number NA ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [x] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests, typing-only covered by existing tests --------- Signed-off-by: Daraan Signed-off-by: Daniel Sperber Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- rllib/algorithms/algorithm_config.py | 50 ++++++++++++------------ rllib/algorithms/appo/appo.py | 5 ++- rllib/algorithms/bc/bc.py | 2 +- rllib/algorithms/cql/cql.py | 7 ++-- rllib/algorithms/dqn/dqn.py | 5 ++- rllib/algorithms/dreamerv3/dreamerv3.py | 5 ++- rllib/algorithms/impala/impala.py | 7 ++-- rllib/algorithms/marwil/marwil.py | 9 +++-- rllib/algorithms/ppo/ppo.py | 5 ++- rllib/algorithms/sac/sac.py | 5 ++- rllib/examples/algorithms/classes/vpg.py | 7 ++-- 11 files changed, 58 insertions(+), 49 deletions(-) diff --git a/rllib/algorithms/algorithm_config.py b/rllib/algorithms/algorithm_config.py index f58470da92ed..d6a62fc0af3b 100644 --- a/rllib/algorithms/algorithm_config.py +++ b/rllib/algorithms/algorithm_config.py @@ -16,6 +16,7 @@ TYPE_CHECKING, Union, ) +from typing_extensions import Self import gymnasium as gym import tree @@ -152,7 +153,7 @@ def DEFAULT_POLICY_MAPPING_FN(aid, episode, worker, **kwargs): return DEFAULT_POLICY_ID @classmethod - def from_dict(cls, config_dict: dict) -> "AlgorithmConfig": + def from_dict(cls, config_dict: dict) -> Self: """Creates an AlgorithmConfig from a legacy python config dict. .. testcode:: @@ -732,7 +733,7 @@ def to_dict(self) -> AlgorithmConfigDict: def update_from_dict( self, config_dict: PartialAlgorithmConfigDict, - ) -> "AlgorithmConfig": + ) -> Self: """Modifies this AlgorithmConfig via the provided python config dict. Warns if `config_dict` contains deprecated keys. @@ -867,18 +868,19 @@ def get_state(self) -> Dict[str, Any]: return state @classmethod - def from_state(cls, state: Dict[str, Any]) -> "AlgorithmConfig": + def from_state(cls, state: Dict[str, Any]) -> Union[Self, Any]: """Returns an instance constructed from the state. Args: - cls: An `AlgorithmConfig` class. state: A dictionary containing the state of an `AlgorithmConfig`. See `AlgorithmConfig.get_state` for creating a state. + The constructed class will be of ``state["class"]``. Returns: An `AlgorithmConfig` instance with attributes from the `state`. """ + # As ctor could be any other class add Any to the return type to indicate this. ctor = state["class"] config = ctor() @@ -908,7 +910,7 @@ def serialize(self) -> Dict[str, Any]: config = self.to_dict() return self._serialize_dict(config) - def copy(self, copy_frozen: Optional[bool] = None) -> "AlgorithmConfig": + def copy(self, copy_frozen: Optional[bool] = None) -> Self: """Creates a deep copy of this config and (un)freezes if necessary. Args: @@ -1389,7 +1391,7 @@ def build_learner( return learner - def get_config_for_module(self, module_id: ModuleID) -> "AlgorithmConfig": + def get_config_for_module(self, module_id: ModuleID) -> Self: """Returns an AlgorithmConfig object, specific to the given module ID. In a multi-agent setup, individual modules might override one or more @@ -1428,7 +1430,7 @@ def python_environment( *, extra_python_environs_for_driver: Optional[dict] = NotProvided, extra_python_environs_for_worker: Optional[dict] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's python environment settings. Args: @@ -1462,7 +1464,7 @@ def resources( num_gpus_per_learner_worker=DEPRECATED_VALUE, # moved to `learners` local_gpu_idx=DEPRECATED_VALUE, # moved to `learners` num_cpus_for_local_worker=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Specifies resources allocated for an Algorithm and its ray actors/workers. Args: @@ -1589,7 +1591,7 @@ def framework( torch_compile_worker_dynamo_mode: Optional[str] = NotProvided, torch_ddp_kwargs: Optional[Dict[str, Any]] = NotProvided, torch_skip_nan_gradients: Optional[bool] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's DL framework settings. Args: @@ -1699,7 +1701,7 @@ def api_stack( self, enable_rl_module_and_learner: Optional[bool] = NotProvided, enable_env_runner_and_connector_v2: Optional[bool] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's API stack settings. Args: @@ -1754,7 +1756,7 @@ def environment( action_mask_key: Optional[str] = NotProvided, # Deprecated args. env_task_fn=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's RL-environment settings. Args: @@ -1888,7 +1890,7 @@ def env_runners( worker_restore_timeout_s=DEPRECATED_VALUE, synchronize_filter=DEPRECATED_VALUE, enable_connectors=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the rollout worker configuration. Args: @@ -2263,7 +2265,7 @@ def learners( max_requests_in_flight_per_aggregator_actor: Optional[float] = NotProvided, local_gpu_idx: Optional[int] = NotProvided, max_requests_in_flight_per_learner: Optional[int] = NotProvided, - ): + ) -> Self: """Sets LearnerGroup and Learner worker related configurations. Args: @@ -2356,7 +2358,7 @@ def training( ] = NotProvided, add_default_connectors_to_learner_pipeline: Optional[bool] = NotProvided, learner_config_dict: Optional[Dict[str, Any]] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -2565,7 +2567,7 @@ def callbacks( on_episode_step: Optional[Union[Callable, List[Callable]]] = NotProvided, on_episode_end: Optional[Union[Callable, List[Callable]]] = NotProvided, on_sample_end: Optional[Union[Callable, List[Callable]]] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the callbacks configuration. Args: @@ -2731,7 +2733,7 @@ def evaluation( # Deprecated args. always_attach_evaluation_results=DEPRECATED_VALUE, evaluation_num_workers=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's evaluation settings. Args: @@ -3088,7 +3090,7 @@ def offline_data( output_filesystem_kwargs: Optional[Dict] = NotProvided, output_write_episodes: Optional[bool] = NotProvided, offline_sampling: Optional[str] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's offline data settings. Args: @@ -3444,7 +3446,7 @@ def multi_agent( # Now done via Ray object store, which has its own cloud-supported # spillover mechanism. policy_map_cache=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's multi-agent settings. Validates the new multi-agent settings and translates everything into @@ -3612,7 +3614,7 @@ def reporting( min_train_timesteps_per_iteration: Optional[int] = NotProvided, min_sample_timesteps_per_iteration: Optional[int] = NotProvided, log_gradients: Optional[bool] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's reporting settings. Args: @@ -3682,7 +3684,7 @@ def checkpointing( self, export_native_model_files: Optional[bool] = NotProvided, checkpoint_trainable_policies_only: Optional[bool] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's checkpointing settings. Args: @@ -3716,7 +3718,7 @@ def debugging( log_sys_usage: Optional[bool] = NotProvided, fake_sampler: Optional[bool] = NotProvided, seed: Optional[int] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's debugging settings. Args: @@ -3773,7 +3775,7 @@ def fault_tolerance( num_consecutive_worker_failures_tolerance=DEPRECATED_VALUE, worker_health_probe_timeout_s=DEPRECATED_VALUE, worker_restore_timeout_s=DEPRECATED_VALUE, - ): + ) -> Self: """Sets the config's fault tolerance settings. Args: @@ -3906,7 +3908,7 @@ def rl_module( # Deprecated arg. model_config_dict=DEPRECATED_VALUE, _enable_rl_module_api=DEPRECATED_VALUE, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's RLModule settings. Args: @@ -3978,7 +3980,7 @@ def experimental( _disable_preprocessor_api: Optional[bool] = NotProvided, _disable_action_flattening: Optional[bool] = NotProvided, _disable_initialize_loss_from_dummy_batch: Optional[bool] = NotProvided, - ) -> "AlgorithmConfig": + ) -> Self: """Sets the config's experimental settings. Args: diff --git a/rllib/algorithms/appo/appo.py b/rllib/algorithms/appo/appo.py index c3bc4c0031bb..d536c2f9498d 100644 --- a/rllib/algorithms/appo/appo.py +++ b/rllib/algorithms/appo/appo.py @@ -11,6 +11,7 @@ """ from typing import Optional, Type +from typing_extensions import Self import logging from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided @@ -170,7 +171,7 @@ def training( target_update_frequency=DEPRECATED_VALUE, use_critic=DEPRECATED_VALUE, **kwargs, - ) -> "APPOConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -405,7 +406,7 @@ def update(pi, pi_id): @classmethod @override(IMPALA) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> APPOConfig: return APPOConfig() @classmethod diff --git a/rllib/algorithms/bc/bc.py b/rllib/algorithms/bc/bc.py index 7cc2544078ac..e2bc7dc64e6c 100644 --- a/rllib/algorithms/bc/bc.py +++ b/rllib/algorithms/bc/bc.py @@ -116,5 +116,5 @@ class BC(MARWIL): @classmethod @override(MARWIL) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> BCConfig: return BCConfig() diff --git a/rllib/algorithms/cql/cql.py b/rllib/algorithms/cql/cql.py index 6d3b95cad746..60110cb6d71a 100644 --- a/rllib/algorithms/cql/cql.py +++ b/rllib/algorithms/cql/cql.py @@ -1,5 +1,6 @@ import logging from typing import Optional, Type, Union +from typing_extensions import Self from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided from ray.rllib.algorithms.cql.cql_tf_policy import CQLTFPolicy @@ -124,7 +125,7 @@ def training( min_q_weight: Optional[float] = NotProvided, deterministic_backup: Optional[bool] = NotProvided, **kwargs, - ) -> "CQLConfig": + ) -> Self: """Sets the training-related configuration. Args: @@ -161,7 +162,7 @@ def training( return self @override(AlgorithmConfig) - def offline_data(self, **kwargs) -> "CQLConfig": + def offline_data(self, **kwargs) -> Self: super().offline_data(**kwargs) @@ -281,7 +282,7 @@ class CQL(SAC): @classmethod @override(SAC) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> CQLConfig: return CQLConfig() @classmethod diff --git a/rllib/algorithms/dqn/dqn.py b/rllib/algorithms/dqn/dqn.py index 6bc65698a56b..02c322b48eee 100644 --- a/rllib/algorithms/dqn/dqn.py +++ b/rllib/algorithms/dqn/dqn.py @@ -12,6 +12,7 @@ from collections import defaultdict import logging from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union +from typing_extensions import Self import numpy as np from ray.rllib.algorithms.algorithm import Algorithm @@ -238,7 +239,7 @@ def training( categorical_distribution_temperature: Optional[float] = NotProvided, burn_in_len: Optional[int] = NotProvided, **kwargs, - ) -> "DQNConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -593,7 +594,7 @@ def calculate_rr_weights(config: AlgorithmConfig) -> List[float]: class DQN(Algorithm): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> DQNConfig: return DQNConfig() @classmethod diff --git a/rllib/algorithms/dreamerv3/dreamerv3.py b/rllib/algorithms/dreamerv3/dreamerv3.py index 63784d3e09a7..ade67045c977 100644 --- a/rllib/algorithms/dreamerv3/dreamerv3.py +++ b/rllib/algorithms/dreamerv3/dreamerv3.py @@ -10,6 +10,7 @@ import logging from typing import Any, Dict, Optional, Union +from typing_extensions import Self import gymnasium as gym @@ -200,7 +201,7 @@ def training( replay_buffer_config: Optional[dict] = NotProvided, use_curiosity: Optional[bool] = NotProvided, **kwargs, - ) -> "DreamerV3Config": + ) -> Self: """Sets the training related configuration. Args: @@ -473,7 +474,7 @@ def compute_single_action(self, *args, **kwargs): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> DreamerV3Config: return DreamerV3Config() @override(Algorithm) diff --git a/rllib/algorithms/impala/impala.py b/rllib/algorithms/impala/impala.py index c183b9e2f653..6f833d6417cf 100644 --- a/rllib/algorithms/impala/impala.py +++ b/rllib/algorithms/impala/impala.py @@ -2,6 +2,7 @@ import logging import queue from typing import Dict, List, Optional, Set, Tuple, Type, Union +from typing_extensions import Self import ray from ray import ObjectRef @@ -207,7 +208,7 @@ def training( num_aggregation_workers=DEPRECATED_VALUE, max_requests_in_flight_per_aggregator_worker=DEPRECATED_VALUE, **kwargs, - ) -> "IMPALAConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -358,7 +359,7 @@ def debugging( _env_runners_only: Optional[bool] = NotProvided, _skip_learners: Optional[bool] = NotProvided, **kwargs, - ) -> "IMPALAConfig": + ) -> Self: """Sets the debugging related configuration. Args: @@ -528,7 +529,7 @@ class IMPALA(Algorithm): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> IMPALAConfig: return IMPALAConfig() @classmethod diff --git a/rllib/algorithms/marwil/marwil.py b/rllib/algorithms/marwil/marwil.py index 7dfb1e1dcde6..5685e4df127f 100644 --- a/rllib/algorithms/marwil/marwil.py +++ b/rllib/algorithms/marwil/marwil.py @@ -1,4 +1,5 @@ from typing import Callable, Optional, Type, Union +from typing_extensions import Self from ray.rllib.algorithms.algorithm import Algorithm from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided @@ -219,7 +220,7 @@ def training( vf_coeff: Optional[float] = NotProvided, grad_clip: Optional[float] = NotProvided, **kwargs, - ) -> "MARWILConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -289,7 +290,7 @@ def get_default_learner_class(self) -> Union[Type["Learner"], str]: def evaluation( self, **kwargs, - ) -> "MARWILConfig": + ) -> Self: """Sets the evaluation related configuration. Returns: This updated AlgorithmConfig object. @@ -304,7 +305,7 @@ def evaluation( return self @override(AlgorithmConfig) - def offline_data(self, **kwargs) -> "MARWILConfig": + def offline_data(self, **kwargs) -> Self: super().offline_data(**kwargs) @@ -414,7 +415,7 @@ def _model_auto_keys(self): class MARWIL(Algorithm): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> MARWILConfig: return MARWILConfig() @classmethod diff --git a/rllib/algorithms/ppo/ppo.py b/rllib/algorithms/ppo/ppo.py index 7ffa74477928..407565fc4383 100644 --- a/rllib/algorithms/ppo/ppo.py +++ b/rllib/algorithms/ppo/ppo.py @@ -11,6 +11,7 @@ import logging from typing import Any, Dict, List, Optional, Type, Union, TYPE_CHECKING +from typing_extensions import Self from ray.rllib.algorithms.algorithm import Algorithm from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided @@ -205,7 +206,7 @@ def training( # Deprecated. vf_share_layers=DEPRECATED_VALUE, **kwargs, - ) -> "PPOConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -362,7 +363,7 @@ def _model_config_auto_includes(self) -> Dict[str, Any]: class PPO(Algorithm): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> PPOConfig: return PPOConfig() @classmethod diff --git a/rllib/algorithms/sac/sac.py b/rllib/algorithms/sac/sac.py index 6a0c2375153a..7d9c6852ed90 100644 --- a/rllib/algorithms/sac/sac.py +++ b/rllib/algorithms/sac/sac.py @@ -1,5 +1,6 @@ import logging from typing import Any, Dict, Optional, Tuple, Type, Union +from typing_extensions import Self from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided from ray.rllib.algorithms.dqn.dqn import DQN @@ -159,7 +160,7 @@ def training( _use_beta_distribution: Optional[bool] = NotProvided, num_steps_sampled_before_learning_starts: Optional[int] = NotProvided, **kwargs, - ) -> "SACConfig": + ) -> Self: """Sets the training related configuration. Args: @@ -573,7 +574,7 @@ def __init__(self, *args, **kwargs): @classmethod @override(DQN) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> SACConfig: return SACConfig() @classmethod diff --git a/rllib/examples/algorithms/classes/vpg.py b/rllib/examples/algorithms/classes/vpg.py index 2d3119927115..1eef81c77943 100644 --- a/rllib/examples/algorithms/classes/vpg.py +++ b/rllib/examples/algorithms/classes/vpg.py @@ -1,4 +1,5 @@ import tree # pip install dm_tree +from typing_extensions import Self from ray.rllib.algorithms import Algorithm from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided @@ -40,9 +41,7 @@ def __init__(self, algo_class=None): self.num_env_runners = 1 @override(AlgorithmConfig) - def training( - self, *, num_episodes_per_train_batch=NotProvided, **kwargs - ) -> "VPGConfig": + def training(self, *, num_episodes_per_train_batch=NotProvided, **kwargs) -> Self: """Sets the training related configuration. Args: @@ -95,7 +94,7 @@ def get_default_learner_class(self): class VPG(Algorithm): @classmethod @override(Algorithm) - def get_default_config(cls) -> AlgorithmConfig: + def get_default_config(cls) -> VPGConfig: return VPGConfig() @override(Algorithm) From c71dac6b9d3cf65e3ba1210accbf3a9f0cc0d960 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 19 Sep 2025 05:25:46 -0700 Subject: [PATCH 1294/1566] [examples] adding pipefail for examples (#56496) adding pipefail for ci/tests.sh in examples --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- doc/source/ray-overview/examples/e2e-audio/ci/build.sh | 2 +- doc/source/ray-overview/examples/e2e-audio/ci/tests.sh | 3 +++ .../examples/e2e-multimodal-ai-workloads/ci/build.sh | 2 +- .../examples/e2e-multimodal-ai-workloads/ci/tests.sh | 2 ++ doc/source/ray-overview/examples/e2e-rag/ci/build.sh | 2 +- doc/source/ray-overview/examples/e2e-rag/ci/tests.sh | 2 ++ .../ray-overview/examples/e2e-timeseries/ci/run_tests.sh | 2 ++ .../examples/entity-recognition-with-llms/ci/build.sh | 2 +- .../examples/entity-recognition-with-llms/ci/tests.sh | 3 +++ doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh | 2 +- doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh | 2 +- doc/source/ray-overview/examples/object-detection/ci/build.sh | 2 +- doc/source/ray-overview/examples/object-detection/ci/tests.sh | 2 ++ 13 files changed, 21 insertions(+), 7 deletions(-) diff --git a/doc/source/ray-overview/examples/e2e-audio/ci/build.sh b/doc/source/ray-overview/examples/e2e-audio/ci/build.sh index f8076dd12f71..f2e0a8590757 100755 --- a/doc/source/ray-overview/examples/e2e-audio/ci/build.sh +++ b/doc/source/ray-overview/examples/e2e-audio/ci/build.sh @@ -1,6 +1,6 @@ #!/bin/bash -set -exo pipefail +set -euxo pipefail # Install Python dependencies pip3 install --no-cache-dir \ diff --git a/doc/source/ray-overview/examples/e2e-audio/ci/tests.sh b/doc/source/ray-overview/examples/e2e-audio/ci/tests.sh index 5d83a05d10e5..f4037dddbce1 100755 --- a/doc/source/ray-overview/examples/e2e-audio/ci/tests.sh +++ b/doc/source/ray-overview/examples/e2e-audio/ci/tests.sh @@ -1,4 +1,7 @@ #!/bin/bash + +set -euxo pipefail + jupyter nbconvert --to script README.ipynb # Jupyter will convert even non-python code logic ipython README.py # Use ipython to ensure even non-python cells are executed properly rm README.py # Remove the generated script diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh index 05ff13248bd7..c08cb0815560 100755 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/build.sh @@ -1,6 +1,6 @@ #!/bin/bash -set -exo pipefail +set -euxo pipefail # Install Python dependencies pip3 install --no-cache-dir \ diff --git a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/tests.sh b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/tests.sh index 83e8674b7ef6..29a8dff4be6c 100755 --- a/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/tests.sh +++ b/doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/ci/tests.sh @@ -1,5 +1,7 @@ #!/bin/bash +set -euxo pipefail + # don't use nbcovert or jupytext unless you're willing # to check each subprocess unit and validate that errors # aren't being consumed/hidden diff --git a/doc/source/ray-overview/examples/e2e-rag/ci/build.sh b/doc/source/ray-overview/examples/e2e-rag/ci/build.sh index 624f7c01fd54..5fde657a4568 100755 --- a/doc/source/ray-overview/examples/e2e-rag/ci/build.sh +++ b/doc/source/ray-overview/examples/e2e-rag/ci/build.sh @@ -1,6 +1,6 @@ #!/bin/bash -set -exo pipefail +set -euxo pipefail # Install system dependencies RUN sudo apt-get update && \ diff --git a/doc/source/ray-overview/examples/e2e-rag/ci/tests.sh b/doc/source/ray-overview/examples/e2e-rag/ci/tests.sh index fd617967783b..cd9d65783734 100755 --- a/doc/source/ray-overview/examples/e2e-rag/ci/tests.sh +++ b/doc/source/ray-overview/examples/e2e-rag/ci/tests.sh @@ -1,5 +1,7 @@ #!/bin/bash +set -euxo pipefail + # Notebooks 4, 5 and 6 require bespoke Anyscale Service (so skip testing) ordered_notebook_names=( diff --git a/doc/source/ray-overview/examples/e2e-timeseries/ci/run_tests.sh b/doc/source/ray-overview/examples/e2e-timeseries/ci/run_tests.sh index b0611d8ac45d..5417f6a49342 100755 --- a/doc/source/ray-overview/examples/e2e-timeseries/ci/run_tests.sh +++ b/doc/source/ray-overview/examples/e2e-timeseries/ci/run_tests.sh @@ -1,3 +1,5 @@ #!/bin/bash +set -euxo pipefail + jupyter execute e2e_timeseries/01-Distributed-Training.ipynb e2e_timeseries/02-Validation.ipynb e2e_timeseries/03-Serving.ipynb diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/build.sh b/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/build.sh index 8f620ce076d1..1e012ba9d2c3 100755 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/build.sh +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/build.sh @@ -1,6 +1,6 @@ #!/bin/bash -set -exo pipefail +set -euxo pipefail # Will use lockfile instead later # pip3 install --no-cache-dir -r https://raw.githubusercontent.com/anyscale/e2e-llm-workflows/refs/heads/main/lockfile.txt diff --git a/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/tests.sh b/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/tests.sh index 4110b7567b6c..33fa0f5722a6 100755 --- a/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/tests.sh +++ b/doc/source/ray-overview/examples/entity-recognition-with-llms/ci/tests.sh @@ -1,4 +1,7 @@ #!/bin/bash + +set -euxo pipefail + python ci/nb2py.py README.ipynb README.py # convert notebook to py script python README.py # be sure to use ipython to ensure even non-python cells are executed properly rm README.py # remove the generated script diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh b/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh index 8099cebc7851..a9fcc2701ca0 100755 --- a/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/build.sh @@ -1,6 +1,6 @@ #!/bin/bash -set -exo pipefail +set -euxo pipefail # Python dependencies pip3 install --no-cache-dir \ diff --git a/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh b/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh index aecfb298de2e..9dbd1ecf7756 100755 --- a/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh +++ b/doc/source/ray-overview/examples/mcp-ray-serve/ci/tests.sh @@ -4,7 +4,7 @@ # to check each subprocess unit and validate that errors # aren't being consumed/hidden. -set -exo pipefail +set -euxo pipefail # Use the AWS CLI to fetch BRAVE_API_KEY from Secrets Manager. # Replace 'my-brave-api-key-secret' with the actual secret name. diff --git a/doc/source/ray-overview/examples/object-detection/ci/build.sh b/doc/source/ray-overview/examples/object-detection/ci/build.sh index b3a6a58f0748..6082d4682628 100755 --- a/doc/source/ray-overview/examples/object-detection/ci/build.sh +++ b/doc/source/ray-overview/examples/object-detection/ci/build.sh @@ -2,7 +2,7 @@ # This script is used to build an extra layer on top of the base anyscale/ray image # to run the object detection example notebooks. -set -exo pipefail +set -euxo pipefail # Install Python dependencies pip3 install --no-cache-dir \ diff --git a/doc/source/ray-overview/examples/object-detection/ci/tests.sh b/doc/source/ray-overview/examples/object-detection/ci/tests.sh index 95c107431698..61ee7e1df557 100644 --- a/doc/source/ray-overview/examples/object-detection/ci/tests.sh +++ b/doc/source/ray-overview/examples/object-detection/ci/tests.sh @@ -1,5 +1,7 @@ #!/bin/bash +set -euxo pipefail + # don't use nbcovert or jupytext unless you're willing # to check each subprocess unit and validate that errors # aren't being consumed/hidden From 6f0b7944b3da45cac1ebaaeb833023685a2639cf Mon Sep 17 00:00:00 2001 From: Matti Picus Date: Fri, 19 Sep 2025 16:18:12 +0300 Subject: [PATCH 1295/1566] update spdlog to 15.3 (#56711) Update spdlog from 12.0 (from July 2023) to 15.3 (released May 2025) ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: mattip Signed-off-by: Douglas Strodtman --- bazel/ray_deps_setup.bzl | 4 +-- .../patches/spdlog-rotation-file-format.patch | 25 ++++++++++--------- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/bazel/ray_deps_setup.bzl b/bazel/ray_deps_setup.bzl index 13a6a96c162e..b10370d0523b 100644 --- a/bazel/ray_deps_setup.bzl +++ b/bazel/ray_deps_setup.bzl @@ -129,8 +129,8 @@ def ray_deps_setup(): auto_http_archive( name = "com_github_spdlog", build_file = "@io_ray//bazel:spdlog.BUILD", - urls = ["https://github.com/gabime/spdlog/archive/v1.12.0.zip"], - sha256 = "6174bf8885287422a6c6a0312eb8a30e8d22bcfcee7c48a6d02d1835d7769232", + url = "https://github.com/gabime/spdlog/archive/refs/tags/v1.15.3.zip", + sha256 = "b74274c32c8be5dba70b7006c1d41b7d3e5ff0dff8390c8b6390c1189424e094", # spdlog rotation filename format conflict with ray, update the format. patches = [ "@io_ray//thirdparty/patches:spdlog-rotation-file-format.patch", diff --git a/thirdparty/patches/spdlog-rotation-file-format.patch b/thirdparty/patches/spdlog-rotation-file-format.patch index 3c1a6ec8b5be..3addcdcd61b7 100644 --- a/thirdparty/patches/spdlog-rotation-file-format.patch +++ b/thirdparty/patches/spdlog-rotation-file-format.patch @@ -10,24 +10,25 @@ diff --git a/include/spdlog/sinks/rotating_file_sink-inl.h b/include/spdlog/sink index cf8b9d5c..7580c06f 100644 --- a/include/spdlog/sinks/rotating_file_sink-inl.h +++ b/include/spdlog/sinks/rotating_file_sink-inl.h -@@ -50,7 +50,7 @@ SPDLOG_INLINE rotating_file_sink::rotating_file_sink( +@@ -49,7 +49,7 @@ SPDLOG_INLINE rotating_file_sink::rotating_file_sink( } - + // calc filename according to index and file extension if exists. -// e.g. calc_filename("logs/mylog.txt, 3) => "logs/mylog.3.txt". +// e.g. calc_filename("logs/mylog.txt, 3) => "logs/mylog.txt.3". - template - SPDLOG_INLINE filename_t rotating_file_sink::calc_filename(const filename_t &filename, std::size_t index) - { -@@ -58,10 +58,7 @@ SPDLOG_INLINE filename_t rotating_file_sink::calc_filename(const filename - { + template + SPDLOG_INLINE filename_t rotating_file_sink::calc_filename(const filename_t &filename, + std::size_t index) { +@@ -57,10 +57,7 @@ SPDLOG_INLINE filename_t rotating_file_sink::calc_filename(const filename return filename; } -- -- filename_t basename, ext; + +- filename_t basename; +- filename_t ext; - std::tie(basename, ext) = details::file_helper::split_by_extension(filename); -- return fmt_lib::format(SPDLOG_FILENAME_T("{}.{}{}"), basename, index, ext); -+ return fmt_lib::format(SPDLOG_FILENAME_T("{}.{}"), filename, index); +- return fmt_lib::format(SPDLOG_FMT_STRING(SPDLOG_FILENAME_T("{}.{}{}")), basename, index, ext); ++ return fmt_lib::format(SPDLOG_FMT_STRING(SPDLOG_FILENAME_T("{}.{}")), filename, index); } + + template - template From b6ef5881c41a5b956eabe941b6ea5fc9a2b8631d Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Fri, 19 Sep 2025 06:26:06 -0700 Subject: [PATCH 1296/1566] [core][1ev-debt/01] make ray recorder event buffer bounded (#56553) This PR addresses several tech debts of the ray event recorder: - Make the buffer bounded, so that it cannot grow indefinitely - Add metrics for number of dropped events Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 2 + src/ray/core_worker/tests/core_worker_test.cc | 2 +- .../core_worker/tests/task_manager_test.cc | 2 +- src/ray/gcs/BUILD.bazel | 2 + src/ray/gcs/gcs_server.cc | 12 +++-- src/ray/gcs/gcs_server.h | 4 +- src/ray/gcs/gcs_server_main.cc | 7 ++- src/ray/gcs/tests/BUILD.bazel | 1 + src/ray/gcs/tests/gcs_server_rpc_test.cc | 12 ++++- src/ray/gcs_client/tests/BUILD.bazel | 3 ++ .../tests/gcs_client_reconnection_test.cc | 10 +++- src/ray/gcs_client/tests/gcs_client_test.cc | 12 +++-- .../tests/global_state_accessor_test.cc | 10 +++- src/ray/observability/BUILD.bazel | 15 ++++++ src/ray/observability/fake_metric.h | 49 ++++++++++++++----- src/ray/observability/metric_constants.h | 23 +++++++++ src/ray/observability/metrics.h | 30 ++++++++++++ src/ray/observability/ray_event_recorder.cc | 28 ++++++++--- src/ray/observability/ray_event_recorder.h | 20 ++++++-- src/ray/observability/tests/BUILD.bazel | 1 + .../tests/ray_event_recorder_test.cc | 43 +++++++++++++++- .../tests/lease_dependency_manager_test.cc | 2 +- .../raylet/tests/local_lease_manager_test.cc | 2 +- src/ray/raylet/tests/node_manager_test.cc | 4 +- 24 files changed, 253 insertions(+), 43 deletions(-) create mode 100644 src/ray/observability/metric_constants.h create mode 100644 src/ray/observability/metrics.h diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index fb141a4fca07..2c13df2422b8 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -534,6 +534,8 @@ RAY_CONFIG(bool, enable_open_telemetry, false) /// using the Export API. RAY_CONFIG(bool, enable_ray_event, false) +RAY_CONFIG(uint64_t, ray_event_recorder_max_queued_events, 10000) + /// Comma separated list of components we enable grpc metrics collection for. /// Only effective if `enable_metrics_collection` is also true. Will have some performance /// degredations. diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index c6abd3ea1d8f..ebce8170f117 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -289,7 +289,7 @@ class CoreWorkerTest : public ::testing::Test { pubsub::Publisher *object_info_publisher_; std::shared_ptr task_manager_; std::shared_ptr core_worker_; - ray::observability::FakeMetric fake_task_by_state_counter_; + ray::observability::FakeGauge fake_task_by_state_counter_; std::unique_ptr fake_periodical_runner_; // Controllable time for testing publisher timeouts diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index b68c1acbe6c6..a42895f64858 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -227,7 +227,7 @@ class TaskManagerTest : public ::testing::Test { int num_retries_ = 0; uint32_t last_delay_ms_ = 0; std::unordered_set stored_in_plasma; - ray::observability::FakeMetric fake_task_by_state_counter_; + ray::observability::FakeGauge fake_task_by_state_counter_; }; class TaskManagerLineageTest : public TaskManagerTest { diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 1caf1591f017..435283cd47cd 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -507,6 +507,7 @@ ray_cc_library( "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client:observable_store_client", "//src/ray/gcs/store_client:redis_store_client", + "//src/ray/observability:metric_constants", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/pubsub:gcs_publisher", @@ -537,6 +538,7 @@ ray_cc_binary( visibility = ["//visibility:public"], deps = [ ":gcs_server_lib", + "//src/ray/observability:metrics", "//src/ray/stats:stats_lib", "//src/ray/util:event", "//src/ray/util:raii", diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index 1b998334d0bb..95c4ec95fac1 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -35,6 +35,7 @@ #include "ray/gcs/store_client/redis_store_client.h" #include "ray/gcs/store_client/store_client.h" #include "ray/gcs/store_client_kv.h" +#include "ray/observability/metric_constants.h" #include "ray/pubsub/publisher.h" #include "ray/rpc/raylet/raylet_client.h" #include "ray/stats/stats.h" @@ -56,8 +57,10 @@ inline std::ostream &operator<<(std::ostream &str, GcsServer::StorageType val) { } } -GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, - instrumented_io_context &main_service) +GcsServer::GcsServer( + const ray::gcs::GcsServerConfig &config, + instrumented_io_context &main_service, + ray::observability::MetricInterface &event_recorder_dropped_events_counter) : io_context_provider_(main_service), config_(config), storage_type_(GetStorageType()), @@ -122,7 +125,10 @@ GcsServer::GcsServer(const ray::gcs::GcsServerConfig &config, config_.metrics_agent_port, event_aggregator_client_call_manager_)), ray_event_recorder_(std::make_unique( *event_aggregator_client_, - io_context_provider_.GetIOContext())), + io_context_provider_.GetIOContext(), + RayConfig::instance().ray_event_recorder_max_queued_events(), + observability::kMetricSourceGCS, + event_recorder_dropped_events_counter)), pubsub_periodical_runner_(PeriodicalRunner::Create( io_context_provider_.GetIOContext())), periodical_runner_( diff --git a/src/ray/gcs/gcs_server.h b/src/ray/gcs/gcs_server.h index c9541defe3c1..831531bb30ce 100644 --- a/src/ray/gcs/gcs_server.h +++ b/src/ray/gcs/gcs_server.h @@ -94,7 +94,9 @@ class GcsAutoscalerStateManager; /// `DoStart` call to `Stop`. class GcsServer { public: - GcsServer(const GcsServerConfig &config, instrumented_io_context &main_service); + GcsServer(const GcsServerConfig &config, + instrumented_io_context &main_service, + ray::observability::MetricInterface &event_recorder_dropped_events_counter); virtual ~GcsServer(); /// Start gcs server. diff --git a/src/ray/gcs/gcs_server_main.cc b/src/ray/gcs/gcs_server_main.cc index 19d155e407b9..18b537a77ed0 100644 --- a/src/ray/gcs/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server_main.cc @@ -22,6 +22,7 @@ #include "ray/common/ray_config.h" #include "ray/gcs/gcs_server.h" #include "ray/gcs/store_client/redis_store_client.h" +#include "ray/observability/metrics.h" #include "ray/stats/stats.h" #include "ray/util/event.h" #include "ray/util/raii.h" @@ -162,7 +163,11 @@ int main(int argc, char *argv[]) { gcs_server_config.log_dir = log_dir; gcs_server_config.raylet_config_list = config_list; gcs_server_config.session_name = session_name; - ray::gcs::GcsServer gcs_server(gcs_server_config, main_service); + ray::stats::Count event_recorder_dropped_events_counter = + ray::GetRayEventRecorderDroppedEventsMetric(); + + ray::gcs::GcsServer gcs_server( + gcs_server_config, main_service, event_recorder_dropped_events_counter); // Destroy the GCS server on a SIGTERM. The pointer to main_service is // guaranteed to be valid since this function will run the event loop diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index dd18e193a5e6..2bf37953e315 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -49,6 +49,7 @@ ray_cc_test( deps = [ "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", + "//src/ray/observability:fake_metric", "@com_google_googletest//:gtest", ], ) diff --git a/src/ray/gcs/tests/gcs_server_rpc_test.cc b/src/ray/gcs/tests/gcs_server_rpc_test.cc index fff248c8b0f5..0d4c4f0916ae 100644 --- a/src/ray/gcs/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/tests/gcs_server_rpc_test.cc @@ -22,12 +22,16 @@ #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" #include "ray/gcs_client/rpc_client.h" +#include "ray/observability/fake_metric.h" namespace ray { class GcsServerTest : public ::testing::Test { public: - GcsServerTest() { TestSetupUtil::StartUpRedisServers(std::vector()); } + GcsServerTest() + : fake_dropped_events_counter_(std::make_unique()) { + TestSetupUtil::StartUpRedisServers(std::vector()); + } virtual ~GcsServerTest() { TestSetupUtil::ShutDownRedisServers(); } @@ -40,7 +44,8 @@ class GcsServerTest : public ::testing::Test { config.node_ip_address = "127.0.0.1"; config.enable_sharding_conn = false; config.redis_port = TEST_REDIS_SERVER_PORTS.front(); - gcs_server_ = std::make_unique(config, io_service_); + gcs_server_ = std::make_unique( + config, io_service_, *fake_dropped_events_counter_); gcs_server_->Start(); thread_io_service_ = std::make_unique([this] { @@ -223,6 +228,9 @@ class GcsServerTest : public ::testing::Test { std::unique_ptr client_; std::unique_ptr client_call_manager_; + // Fake metric for testing + std::unique_ptr fake_dropped_events_counter_; + // Timeout waiting for gcs server reply, default is 5s const std::chrono::milliseconds timeout_ms_{5000}; }; diff --git a/src/ray/gcs_client/tests/BUILD.bazel b/src/ray/gcs_client/tests/BUILD.bazel index f12f17b71480..d7e27fcf3a50 100644 --- a/src/ray/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs_client/tests/BUILD.bazel @@ -34,6 +34,7 @@ ray_cc_test( "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", "//src/ray/gcs_client:global_state_accessor_lib", + "//src/ray/observability:fake_metric", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -63,6 +64,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", + "//src/ray/observability:fake_metric", "//src/ray/util:network_util", "//src/ray/util:raii", "//src/ray/util:time", @@ -91,6 +93,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs_client", + "//src/ray/observability:fake_metric", "//src/ray/util:network_util", "//src/ray/util:path_utils", "//src/ray/util:raii", diff --git a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc index ec02beadf82d..df81a01428cd 100644 --- a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc @@ -27,6 +27,7 @@ #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/gcs_client.h" #include "ray/gcs_client/rpc_client.h" +#include "ray/observability/fake_metric.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" @@ -37,14 +38,18 @@ using namespace std::chrono; // NOLINT class GcsClientReconnectionTest : public ::testing::Test { public: - GcsClientReconnectionTest() { TestSetupUtil::StartUpRedisServers(std::vector()); } + GcsClientReconnectionTest() + : fake_dropped_events_counter_(std::make_unique()) { + TestSetupUtil::StartUpRedisServers(std::vector()); + } ~GcsClientReconnectionTest() { TestSetupUtil::ShutDownRedisServers(); } void StartGCS() { RAY_CHECK(gcs_server_ == nullptr); server_io_service_ = std::make_unique(); - gcs_server_ = std::make_unique(config_, *server_io_service_); + gcs_server_ = std::make_unique( + config_, *server_io_service_, *fake_dropped_events_counter_); gcs_server_->Start(); server_io_service_thread_ = std::make_unique([this] { boost::asio::executor_work_guard work( @@ -158,6 +163,7 @@ class GcsClientReconnectionTest : public ::testing::Test { std::unique_ptr gcs_server_; std::unique_ptr server_io_service_thread_; std::unique_ptr server_io_service_; + std::unique_ptr fake_dropped_events_counter_; // GCS client. std::unique_ptr client_io_service_thread_; diff --git a/src/ray/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs_client/tests/gcs_client_test.cc index c788f08d2a47..a2d1b5c6c9d7 100644 --- a/src/ray/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs_client/tests/gcs_client_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_server.h" #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/rpc_client.h" +#include "ray/observability/fake_metric.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" @@ -37,7 +38,9 @@ namespace ray { class GcsClientTest : public ::testing::TestWithParam { public: - GcsClientTest() : no_redis_(GetParam()) { + GcsClientTest() + : no_redis_(GetParam()), + fake_dropped_events_counter_(std::make_unique()) { RayConfig::instance().initialize( absl::Substitute(R"( { @@ -84,7 +87,8 @@ class GcsClientTest : public ::testing::TestWithParam { }); server_io_service_ = std::make_unique(); - gcs_server_ = std::make_unique(config_, *server_io_service_); + gcs_server_ = std::make_unique( + config_, *server_io_service_, *fake_dropped_events_counter_); gcs_server_->Start(); server_io_service_thread_ = std::make_unique([this] { boost::asio::executor_work_guard work( @@ -147,7 +151,8 @@ class GcsClientTest : public ::testing::TestWithParam { RAY_LOG(INFO) << "Finished stopping GCS service."; server_io_service_.reset(new instrumented_io_context()); - gcs_server_.reset(new gcs::GcsServer(config_, *server_io_service_)); + gcs_server_.reset( + new gcs::GcsServer(config_, *server_io_service_, *fake_dropped_events_counter_)); gcs_server_->Start(); server_io_service_thread_.reset(new std::thread([this] { boost::asio::executor_work_guard work( @@ -409,6 +414,7 @@ class GcsClientTest : public ::testing::TestWithParam { std::unique_ptr gcs_server_; std::unique_ptr server_io_service_thread_; std::unique_ptr server_io_service_; + std::unique_ptr fake_dropped_events_counter_; // GCS client. std::unique_ptr client_io_service_thread_; diff --git a/src/ray/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs_client/tests/global_state_accessor_test.cc index 1575c85766fa..0ed8b3c1f5f4 100644 --- a/src/ray/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs_client/tests/global_state_accessor_test.cc @@ -23,6 +23,7 @@ #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" #include "ray/gcs_client/rpc_client.h" +#include "ray/observability/fake_metric.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" @@ -30,7 +31,8 @@ namespace ray { class GlobalStateAccessorTest : public ::testing::TestWithParam { public: - GlobalStateAccessorTest() { + GlobalStateAccessorTest() + : fake_dropped_events_counter_(std::make_unique()) { if (GetParam()) { RayConfig::instance().gcs_storage() = "memory"; } else { @@ -64,7 +66,8 @@ class GlobalStateAccessorTest : public ::testing::TestWithParam { config.redis_port = TEST_REDIS_SERVER_PORTS.front(); } io_service_.reset(new instrumented_io_context()); - gcs_server_.reset(new gcs::GcsServer(config, *io_service_)); + gcs_server_.reset( + new gcs::GcsServer(config, *io_service_, *fake_dropped_events_counter_)); gcs_server_->Start(); work_ = std::make_unique< boost::asio::executor_work_guard>( @@ -118,6 +121,9 @@ class GlobalStateAccessorTest : public ::testing::TestWithParam { // GCS client. std::unique_ptr gcs_client_; + // Fake metric for testing. + std::unique_ptr fake_dropped_events_counter_; + std::unique_ptr global_state_; // Timeout waiting for GCS server reply, default is 2s. diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index 024dcf35c57a..975f6f1a90a4 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -134,6 +134,7 @@ ray_cc_library( "ray_event_recorder.h", ], deps = [ + ":metric_interface", ":ray_event", ":ray_event_recorder_interface", "//src/ray/common:asio", @@ -141,6 +142,7 @@ ray_cc_library( "//src/ray/protobuf:gcs_cc_proto", "//src/ray/rpc:event_aggregator_client", "//src/ray/util:logging", + "@boost//:circular_buffer", "@com_google_absl//absl/time", ], ) @@ -153,3 +155,16 @@ ray_cc_library( ":ray_event_recorder_interface", ], ) + +ray_cc_library( + name = "metrics", + hdrs = ["metrics.h"], + deps = [ + "//src/ray/stats:stats_lib", + ], +) + +ray_cc_library( + name = "metric_constants", + hdrs = ["metric_constants.h"], +) diff --git a/src/ray/observability/fake_metric.h b/src/ray/observability/fake_metric.h index 9107520b6cd0..9d96f69b628a 100644 --- a/src/ray/observability/fake_metric.h +++ b/src/ray/observability/fake_metric.h @@ -14,6 +14,7 @@ #pragma once +#include "absl/container/flat_hash_map.h" #include "ray/observability/metric_interface.h" namespace ray { @@ -21,39 +22,63 @@ namespace observability { class FakeMetric : public MetricInterface { public: - FakeMetric() = default; + FakeMetric() {} ~FakeMetric() = default; void Record(double value) override { Record(value, stats::TagsType{}); } - void Record(double value, stats::TagsType tags) override { - absl::flat_hash_map tags_map; - for (const auto &tag : tags) { - tags_map[tag.first.name()] = tag.second; - } - tag_to_value_.emplace(std::move(tags_map), value); - } - void Record(double value, std::vector> tags) override { stats::TagsType tags_pair_vec; tags_pair_vec.reserve(tags.size()); std::for_each(tags.begin(), tags.end(), [&tags_pair_vec](auto &tag) { - return tags_pair_vec.emplace_back(stats::TagKeyType::Register(tag.first), - std::move(tag.second)); + tags_pair_vec.emplace_back(stats::TagKeyType::Register(tag.first), + std::move(tag.second)); }); Record(value, std::move(tags_pair_vec)); } + void Record(double value, stats::TagsType tags) override = 0; + const absl::flat_hash_map, double> &GetTagToValue() const { return tag_to_value_; } - private: + protected: absl::flat_hash_map, double> tag_to_value_; }; +class FakeCounter : public FakeMetric { + public: + FakeCounter() {} + ~FakeCounter() = default; + + void Record(double value, stats::TagsType tags) override { + absl::flat_hash_map tags_map; + for (const auto &tag : tags) { + tags_map[tag.first.name()] = tag.second; + } + // accumulate the value of the tag set + tag_to_value_[std::move(tags_map)] += value; + } +}; + +class FakeGauge : public FakeMetric { + public: + FakeGauge() {} + ~FakeGauge() = default; + + void Record(double value, stats::TagsType tags) override { + absl::flat_hash_map tags_map; + for (const auto &tag : tags) { + tags_map[tag.first.name()] = tag.second; + } + // record the last value of the tag set + tag_to_value_.emplace(std::move(tags_map), value); + } +}; + } // namespace observability } // namespace ray diff --git a/src/ray/observability/metric_constants.h b/src/ray/observability/metric_constants.h new file mode 100644 index 000000000000..2c4787e6775f --- /dev/null +++ b/src/ray/observability/metric_constants.h @@ -0,0 +1,23 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +namespace ray { +namespace observability { + +inline constexpr std::string_view kMetricSourceGCS = "gcs"; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/metrics.h b/src/ray/observability/metrics.h new file mode 100644 index 000000000000..71994edb2ab3 --- /dev/null +++ b/src/ray/observability/metrics.h @@ -0,0 +1,30 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include "ray/stats/metric.h" + +namespace ray { + +inline ray::stats::Count GetRayEventRecorderDroppedEventsMetric() { + return ray::stats::Count{ + /*name=*/"ray_event_recorder_dropped_events", + /*description=*/"Number of events dropped by the ray event recorder.", + /*unit=*/"", + /*tag_keys=*/{"Source"}, + }; +} + +} // namespace ray diff --git a/src/ray/observability/ray_event_recorder.cc b/src/ray/observability/ray_event_recorder.cc index 0d214a445a87..4c80372c1d7e 100644 --- a/src/ray/observability/ray_event_recorder.cc +++ b/src/ray/observability/ray_event_recorder.cc @@ -19,10 +19,20 @@ namespace ray { namespace observability { -RayEventRecorder::RayEventRecorder(rpc::EventAggregatorClient &event_aggregator_client, - instrumented_io_context &io_service) +using std::literals::operator""sv; + +RayEventRecorder::RayEventRecorder( + rpc::EventAggregatorClient &event_aggregator_client, + instrumented_io_context &io_service, + size_t max_buffer_size, + std::string_view metric_source, + ray::observability::MetricInterface &dropped_events_counter) : event_aggregator_client_(event_aggregator_client), - periodical_runner_(PeriodicalRunner::Create(io_service)) {} + periodical_runner_(PeriodicalRunner::Create(io_service)), + max_buffer_size_(max_buffer_size), + metric_source_(metric_source), + buffer_(max_buffer_size), + dropped_events_counter_(dropped_events_counter) {} void RayEventRecorder::StartExportingEvents() { absl::MutexLock lock(&mutex_); @@ -64,9 +74,15 @@ void RayEventRecorder::ExportEvents() { void RayEventRecorder::AddEvents( std::vector> &&data_list) { absl::MutexLock lock(&mutex_); - buffer_.reserve(buffer_.size() + data_list.size()); - for (auto &data : data_list) { - buffer_.emplace_back(std::move(data)); + if (data_list.size() + buffer_.size() > max_buffer_size_) { + size_t events_to_remove = data_list.size() + buffer_.size() - max_buffer_size_; + // Record dropped events from the buffer + RAY_LOG(ERROR) << "Dropping " << events_to_remove << " events from the buffer."; + dropped_events_counter_.Record(events_to_remove, + {{"Source"sv, std::string(metric_source_)}}); + } + for (auto &event : data_list) { + buffer_.push_back(std::move(event)); } } diff --git a/src/ray/observability/ray_event_recorder.h b/src/ray/observability/ray_event_recorder.h index 2650f99378c8..5076560462b0 100644 --- a/src/ray/observability/ray_event_recorder.h +++ b/src/ray/observability/ray_event_recorder.h @@ -14,11 +14,14 @@ #pragma once +#include + #include "absl/synchronization/mutex.h" #include "absl/time/time.h" #include "google/protobuf/timestamp.pb.h" #include "ray/common/asio/periodical_runner.h" #include "ray/common/ray_config.h" +#include "ray/observability/metric_interface.h" #include "ray/observability/ray_event_interface.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/rpc/event_aggregator_client.h" @@ -38,7 +41,10 @@ namespace observability { class RayEventRecorder : public RayEventRecorderInterface { public: RayEventRecorder(rpc::EventAggregatorClient &event_aggregator_client, - instrumented_io_context &io_service); + instrumented_io_context &io_service, + size_t max_buffer_size, + std::string_view metric_source, + ray::observability::MetricInterface &dropped_events_counter); virtual ~RayEventRecorder() = default; // Start exporting events to the event aggregator by periodically sending events to @@ -55,9 +61,15 @@ class RayEventRecorder : public RayEventRecorderInterface { std::shared_ptr periodical_runner_; // Lock for thread safety when modifying the buffer. absl::Mutex mutex_; - // Buffer to store events before sending to the event aggregator. - // TODO(#56391): Add a max size for the buffer and overflow recovery logic. - std::vector> buffer_ ABSL_GUARDED_BY(mutex_); + + // Maximum number of events to store in the buffer (configurable at runtime) + size_t max_buffer_size_; + std::string_view metric_source_; + // Bounded queue to store events before sending to the event aggregator. + // When the queue is full, old events are dropped to make room for new ones. + boost::circular_buffer> buffer_ + ABSL_GUARDED_BY(mutex_); + ray::observability::MetricInterface &dropped_events_counter_; // Flag to track if exporting has been started bool exporting_started_ ABSL_GUARDED_BY(mutex_) = false; // Export events to the event aggregator. This is called periodically by the diff --git a/src/ray/observability/tests/BUILD.bazel b/src/ray/observability/tests/BUILD.bazel index db97a32197fa..0c81f3831f9a 100644 --- a/src/ray/observability/tests/BUILD.bazel +++ b/src/ray/observability/tests/BUILD.bazel @@ -17,6 +17,7 @@ ray_cc_test( srcs = ["ray_event_recorder_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/observability:fake_metric", "//src/ray/observability:ray_driver_job_definition_event", "//src/ray/observability:ray_driver_job_execution_event", "//src/ray/observability:ray_event_recorder", diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 13a64f8aa4bf..1721b46002fa 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -22,6 +22,8 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" +#include "ray/observability/fake_metric.h" +#include "ray/observability/metric_interface.h" #include "ray/observability/ray_driver_job_definition_event.h" #include "ray/observability/ray_driver_job_execution_event.h" #include "src/ray/protobuf/gcs.pb.h" @@ -59,13 +61,20 @@ class RayEventRecorderTest : public ::testing::Test { public: RayEventRecorderTest() { fake_client_ = std::make_unique(); - recorder_ = std::make_unique(*fake_client_, io_service_); + fake_dropped_events_counter_ = std::make_unique(); + recorder_ = std::make_unique(*fake_client_, + io_service_, + max_buffer_size_, + "gcs", + *fake_dropped_events_counter_); recorder_->StartExportingEvents(); } instrumented_io_context io_service_; std::unique_ptr fake_client_; + std::unique_ptr fake_dropped_events_counter_; std::unique_ptr recorder_; + size_t max_buffer_size_ = 5; }; TEST_F(RayEventRecorderTest, TestRecordEvents) { @@ -116,5 +125,37 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { ASSERT_EQ(recorded_events[1].driver_job_execution_event().job_id(), "test_job_id_2"); } +TEST_F(RayEventRecorderTest, TestDropEvents) { + size_t expected_num_dropped_events = 3; + + // Add more events than the buffer size + std::vector> events_01; + for (int i = 0; i < max_buffer_size_ + 1; i++) { + rpc::JobTableData data; + data.set_job_id("test_job_id"); + events_01.push_back( + std::make_unique(data, "test_session")); + } + recorder_->AddEvents(std::move(events_01)); + + // The buffer is full now, add more events to test the overflow handling + std::vector> events_02; + for (int i = 0; i < expected_num_dropped_events - 1; i++) { + rpc::JobTableData data; + data.set_job_id("test_job_id_" + std::to_string(i)); + events_02.push_back( + std::make_unique(data, "test_session")); + } + recorder_->AddEvents(std::move(events_02)); + io_service_.run_one(); + + auto tag_to_value = fake_dropped_events_counter_->GetTagToValue(); + size_t num_dropped_events = 0; + for (const auto &[tags, value] : tag_to_value) { + num_dropped_events += value; + } + ASSERT_EQ(num_dropped_events, expected_num_dropped_events); +} + } // namespace observability } // namespace ray diff --git a/src/ray/raylet/tests/lease_dependency_manager_test.cc b/src/ray/raylet/tests/lease_dependency_manager_test.cc index 73b41cd0d688..bf758bddd07a 100644 --- a/src/ray/raylet/tests/lease_dependency_manager_test.cc +++ b/src/ray/raylet/tests/lease_dependency_manager_test.cc @@ -94,7 +94,7 @@ class LeaseDependencyManagerTest : public ::testing::Test { } CustomMockObjectManager object_manager_mock_; - ray::observability::FakeMetric fake_task_by_state_counter_; + ray::observability::FakeGauge fake_task_by_state_counter_; LeaseDependencyManager lease_dependency_manager_; }; diff --git a/src/ray/raylet/tests/local_lease_manager_test.cc b/src/ray/raylet/tests/local_lease_manager_test.cc index c2755dfe0659..7dabaebbc7fe 100644 --- a/src/ray/raylet/tests/local_lease_manager_test.cc +++ b/src/ray/raylet/tests/local_lease_manager_test.cc @@ -375,7 +375,7 @@ class LocalLeaseManagerTest : public ::testing::Test { absl::flat_hash_map node_info_; MockObjectManager object_manager_; - ray::observability::FakeMetric fake_task_by_state_counter_; + ray::observability::FakeGauge fake_task_by_state_counter_; LeaseDependencyManager lease_dependency_manager_; std::shared_ptr local_lease_manager_; }; diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 61b2792c28de..331b9705ccf5 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -308,7 +308,7 @@ class NodeManagerTest : public ::testing::Test { core_worker_subscriber_ = std::make_unique(); mock_object_directory_ = std::make_unique(); mock_object_manager_ = std::make_unique(); - fake_task_by_state_counter_ = ray::observability::FakeMetric(); + fake_task_by_state_counter_ = ray::observability::FakeGauge(); EXPECT_CALL(*mock_object_manager_, GetMemoryCapacity()).WillRepeatedly(Return(0)); @@ -444,7 +444,7 @@ class NodeManagerTest : public ::testing::Test { MockWorkerPool mock_worker_pool_; absl::flat_hash_map> leased_workers_; std::shared_ptr> objects_pending_deletion_; - ray::observability::FakeMetric fake_task_by_state_counter_; + ray::observability::FakeGauge fake_task_by_state_counter_; }; TEST_F(NodeManagerTest, TestRegisterGcsAndCheckSelfAlive) { From 1140e9122b66cdfde9ee3ad17aabb8ce0eb24312 Mon Sep 17 00:00:00 2001 From: Saihajpreet Singh Date: Fri, 19 Sep 2025 12:43:48 -0400 Subject: [PATCH 1297/1566] feat: add utm to join ray link (#56727) Signed-off-by: Douglas Strodtman --- doc/source/_templates/index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/_templates/index.html b/doc/source/_templates/index.html index a206e55c892c..67badd29080e 100644 --- a/doc/source/_templates/index.html +++ b/doc/source/_templates/index.html @@ -444,7 +444,7 @@

    Getting involved

    From f34873083ddc3ed5d47468363f2fa53fbd9325db Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Fri, 19 Sep 2025 12:49:37 -0400 Subject: [PATCH 1298/1566] [Data] Refactored `MapTransformFn` hierarchy (#56499) ## Why are these changes needed? Context --- These changes aiming to substantially simplify and streamline the way transformations of Blocks/Batches/Rows are handled currently, which in turn would allow to - Make UDF handling robust and predictable - Nuke excessive proliferation of the boilerplate Changes --- Following changes are implemented: - 3 core implementations for `MapTransformFn` (MTF) Row/Batch/Block transformations are retained, everything else is removed - Each MTF owns its own prologue and epilogue, like splitting input blocks into rows/batches and combining its output into the output blocks - Output block-sizing (shaping) is abstracted and is controlled (by default) by MTF itself. Operators can override it if needed (yet don't by default) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Alexey Kudinkin Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 14 +- python/ray/data/_internal/arrow_block.py | 7 +- .../_internal/datasource/avro_datasource.py | 2 +- .../execution/interfaces/physical_operator.py | 27 +- .../operators/actor_pool_map_operator.py | 2 +- .../operators/base_physical_operator.py | 8 +- .../execution/operators/input_data_buffer.py | 3 +- .../execution/operators/map_operator.py | 54 +- .../execution/operators/map_transformer.py | 605 +++++++----------- .../operators/task_pool_map_operator.py | 9 +- .../ray/data/_internal/logical/optimizers.py | 4 - .../logical/rules/operator_fusion.py | 42 +- .../logical/rules/set_read_parallelism.py | 2 +- .../logical/rules/zero_copy_map_fusion.py | 97 --- python/ray/data/_internal/output_buffer.py | 24 + python/ray/data/_internal/pandas_block.py | 4 +- .../_internal/planner/plan_download_op.py | 29 +- .../data/_internal/planner/plan_read_op.py | 21 +- .../data/_internal/planner/plan_udf_map_op.py | 141 ++-- .../data/_internal/planner/plan_write_op.py | 38 +- .../data/_internal/planner/random_shuffle.py | 15 +- .../ray/data/_internal/planner/repartition.py | 20 +- python/ray/data/_internal/table_block.py | 8 +- python/ray/data/block.py | 8 + python/ray/data/dataset.py | 6 +- .../data/tests/test_backpressure_policies.py | 2 - python/ray/data/tests/test_block_sizing.py | 10 +- .../data/tests/test_execution_optimizer.py | 40 -- python/ray/data/tests/test_map.py | 28 - python/ray/data/tests/test_operator_fusion.py | 22 - python/ray/data/tests/test_operators.py | 107 +++- python/ray/data/tests/test_splitblocks.py | 2 +- .../ray/data/tests/test_streaming_executor.py | 5 +- .../data/tests/test_streaming_integration.py | 5 +- python/ray/data/tests/test_strict_mode.py | 11 +- .../data/tests/test_task_pool_map_operator.py | 1 - 36 files changed, 599 insertions(+), 824 deletions(-) delete mode 100644 python/ray/data/_internal/logical/rules/zero_copy_map_fusion.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index de5c705d5a74..d32f6fa9dd3d 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1120,21 +1120,11 @@ python/ray/data/_internal/execution/operators/map_transformer.py DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) DOC101: Method `MapTransformFn.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `MapTransformFn.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [category: MapTransformFnCategory, input_type: MapTransformFnDataType, is_udf: bool, output_type: MapTransformFnDataType]. + DOC103: Method `MapTransformFn.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [input_type: MapTransformFnDataType, is_udf: bool, output_block_size_option: Optional[OutputBlockSizeOption]]. DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) DOC101: Method `MapTransformer.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `MapTransformer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [init_fn: Optional[Callable[[], None]], transform_fns: List[MapTransformFn]]. - DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" - DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) - DOC101: Method `BuildOutputBlocksMapTransformFn.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `BuildOutputBlocksMapTransformFn.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [input_type: MapTransformFnDataType]. - DOC402: Method `BuildOutputBlocksMapTransformFn.__call__` has "yield" statements, but the docstring does not have a "Yields" section - DOC404: Method `BuildOutputBlocksMapTransformFn.__call__` yield type(s) in docstring not consistent with the return annotation. Return annotation exists, but docstring "yields" section does not exist or has 0 type(s). - DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" - DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) - DOC101: Method `ApplyAdditionalSplitToOutputBlocks.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `ApplyAdditionalSplitToOutputBlocks.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [additional_split_factor: int]. + DOC103: Method `MapTransformer.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [init_fn: Optional[Callable[[], None]], output_block_size_option_override: Optional[OutputBlockSizeOption], transform_fns: List[MapTransformFn]]. -------------------- python/ray/data/_internal/execution/operators/output_splitter.py DOC101: Method `OutputSplitter._get_locations`: Docstring contains fewer arguments than in function signature. diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 14a11b8b0fab..5809880e2b8f 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -157,8 +157,11 @@ def _table_from_pydict(columns: Dict[str, List[Any]]) -> Block: ) @staticmethod - def _concat_tables(tables: List[Block]) -> Block: - return transform_pyarrow.concat(tables, promote_types=True) + def _combine_tables(tables: List[Block]) -> Block: + if len(tables) > 1: + return transform_pyarrow.concat(tables, promote_types=True) + else: + return tables[0] @staticmethod def _concat_would_copy() -> bool: diff --git a/python/ray/data/_internal/datasource/avro_datasource.py b/python/ray/data/_internal/datasource/avro_datasource.py index 711b64add307..21f956698b05 100644 --- a/python/ray/data/_internal/datasource/avro_datasource.py +++ b/python/ray/data/_internal/datasource/avro_datasource.py @@ -31,7 +31,7 @@ def _read_stream(self, f: "pyarrow.NativeFile", path: str) -> Iterator[Block]: reader = fastavro.reader(f) ctx = DataContext.get_current() - output_block_size_option = OutputBlockSizeOption( + output_block_size_option = OutputBlockSizeOption.of( target_max_block_size=ctx.target_max_block_size ) output_buffer = BlockOutputBuffer(output_block_size_option) diff --git a/python/ray/data/_internal/execution/interfaces/physical_operator.py b/python/ray/data/_internal/execution/interfaces/physical_operator.py index 769f7f967812..e88ac15af540 100644 --- a/python/ray/data/_internal/execution/interfaces/physical_operator.py +++ b/python/ray/data/_internal/execution/interfaces/physical_operator.py @@ -258,8 +258,9 @@ def __init__( for x in input_dependencies: assert isinstance(x, PhysicalOperator), x self._inputs_complete = not input_dependencies - self._output_block_size_option_override = None - self.override_target_max_block_size(target_max_block_size_override) + self._output_block_size_option_override = OutputBlockSizeOption.of( + target_max_block_size=target_max_block_size_override + ) self._started = False self._shutdown = False self._in_task_submission_backpressure = False @@ -317,26 +318,10 @@ def target_max_block_size_override(self) -> Optional[int]: else: return self._output_block_size_option_override.target_max_block_size - @property - def actual_target_max_block_size(self) -> Optional[int]: - """ - The actual target max block size output by this operator. - Returns: - `None` if the target max block size is not set, otherwise the target max block size. - `None` means the block size is infinite. - """ - target_max_block_size = self.target_max_block_size_override - if target_max_block_size is None: - target_max_block_size = self.data_context.target_max_block_size - return target_max_block_size - def override_target_max_block_size(self, target_max_block_size: Optional[int]): - if target_max_block_size is not None: - self._output_block_size_option_override = OutputBlockSizeOption( - target_max_block_size=target_max_block_size - ) - elif self._output_block_size_option_override is not None: - self._output_block_size_option_override = None + self._output_block_size_option_override = OutputBlockSizeOption.of( + target_max_block_size=target_max_block_size + ) def mark_execution_finished(self): """Manually mark that this operator has finished execution.""" diff --git a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py index 231046c984e3..a52627501da6 100644 --- a/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/actor_pool_map_operator.py @@ -301,7 +301,7 @@ def _dispatch_tasks(self): ctx = TaskContext( task_idx=self._next_data_task_idx, op_name=self.name, - target_max_block_size_override=self.actual_target_max_block_size, + target_max_block_size_override=self.target_max_block_size_override, ) gen = actor.submit.options( num_returns="streaming", diff --git a/python/ray/data/_internal/execution/operators/base_physical_operator.py b/python/ray/data/_internal/execution/operators/base_physical_operator.py index 948a34d92fef..a9f64839667e 100644 --- a/python/ray/data/_internal/execution/operators/base_physical_operator.py +++ b/python/ray/data/_internal/execution/operators/base_physical_operator.py @@ -115,7 +115,7 @@ def all_inputs_done(self) -> None: task_idx=self._next_task_index, op_name=self.name, sub_progress_bar_dict=self._sub_progress_bar_dict, - target_max_block_size_override=self.actual_target_max_block_size, + target_max_block_size_override=self.target_max_block_size_override, ) # NOTE: We don't account object store memory use from intermediate `bulk_fn` # outputs (e.g., map outputs for map-reduce). @@ -194,4 +194,8 @@ def __init__( """ input_names = ", ".join([op._name for op in input_ops]) op_name = f"{self.__class__.__name__}({input_names})" - super().__init__(op_name, list(input_ops), data_context) + super().__init__( + op_name, + list(input_ops), + data_context, + ) diff --git a/python/ray/data/_internal/execution/operators/input_data_buffer.py b/python/ray/data/_internal/execution/operators/input_data_buffer.py index b2213f9321d0..bf124fed0a22 100644 --- a/python/ray/data/_internal/execution/operators/input_data_buffer.py +++ b/python/ray/data/_internal/execution/operators/input_data_buffer.py @@ -51,7 +51,8 @@ def __init__( def start(self, options: ExecutionOptions) -> None: if not self._is_input_initialized: self._input_data = self._input_data_factory( - self.actual_target_max_block_size + self.target_max_block_size_override + or self.data_context.target_max_block_size ) self._is_input_initialized = True self._initialize_metadata() diff --git a/python/ray/data/_internal/execution/operators/map_operator.py b/python/ray/data/_internal/execution/operators/map_operator.py index 9af913687c5f..05b51d511917 100644 --- a/python/ray/data/_internal/execution/operators/map_operator.py +++ b/python/ray/data/_internal/execution/operators/map_operator.py @@ -9,6 +9,7 @@ Callable, Deque, Dict, + Iterable, Iterator, List, Optional, @@ -43,7 +44,7 @@ OneToOneOperator, ) from ray.data._internal.execution.operators.map_transformer import ( - ApplyAdditionalSplitToOutputBlocks, + BlockMapTransformFn, MapTransformer, ) from ray.data._internal.execution.util import memory_string @@ -82,7 +83,7 @@ def __init__( input_op: PhysicalOperator, data_context: DataContext, name: str, - target_max_block_size: Optional[int], + target_max_block_size_override: Optional[int], min_rows_per_bundle: Optional[int], supports_fusion: bool, map_task_kwargs: Optional[Dict[str, Any]], @@ -117,7 +118,7 @@ def __init__( self._metadata_tasks: Dict[int, MetadataOpTask] = {} self._next_metadata_task_idx = 0 # Keep track of all finished streaming generators. - super().__init__(name, input_op, data_context, target_max_block_size) + super().__init__(name, input_op, data_context, target_max_block_size_override) # If set, then all output blocks will be split into # this many sub-blocks. This is to avoid having @@ -168,7 +169,7 @@ def create( map_transformer: MapTransformer, input_op: PhysicalOperator, data_context: DataContext, - target_max_block_size: Optional[int] = None, + target_max_block_size_override: Optional[int] = None, name: str = "Map", # TODO(ekl): slim down ComputeStrategy to only specify the compute # config and not contain implementation code. @@ -192,8 +193,7 @@ def create( init_fn: The callable class to instantiate if using ActorPoolMapOperator. name: The name of this operator. compute_strategy: Customize the compute strategy for this op. - target_max_block_size: The target maximum number of bytes to - include in an output block. + target_max_block_size_override: Override for target max-block-size. min_rows_per_bundle: The number of rows to gather per batch passed to the transform_fn, or None to use the block size. Setting the batch size is important for the performance of GPU-accelerated transform functions. @@ -222,7 +222,7 @@ def create( input_op, data_context, name=name, - target_max_block_size=target_max_block_size, + target_max_block_size_override=target_max_block_size_override, min_rows_per_bundle=min_rows_per_bundle, concurrency=compute_strategy.size, supports_fusion=supports_fusion, @@ -239,7 +239,7 @@ def create( map_transformer, input_op, data_context, - target_max_block_size_override=target_max_block_size, + target_max_block_size_override=target_max_block_size_override, compute_strategy=compute_strategy, name=name, min_rows_per_bundle=min_rows_per_bundle, @@ -286,8 +286,16 @@ def __call__(self, args): map_transformer = self._map_transformer # Apply additional block split if needed. if self.get_additional_split_factor() > 1: + split_factor = self.get_additional_split_factor() split_transformer = MapTransformer( - [ApplyAdditionalSplitToOutputBlocks(self.get_additional_split_factor())] + [ + BlockMapTransformFn( + lambda blocks, ctx: _split_blocks(blocks, split_factor), + # NOTE: Disable block-shaping to avoid it overriding + # splitting + disable_block_shaping=True, + ) + ] ) map_transformer = map_transformer.fuse(split_transformer) # Put the function def in the object store to avoid repeated serialization @@ -772,3 +780,31 @@ def _canonicalize_ray_remote_args(ray_remote_args: Dict[str, Any]) -> Dict[str, ray_remote_args["num_cpus"] = 1 return ray_remote_args + + +def _splitrange(n, k): + """Calculates array lens of np.array_split(). + + This is the equivalent of + `[len(x) for x in np.array_split(range(n), k)]`. + """ + base = n // k + output = [base] * k + rem = n - sum(output) + for i in range(len(output)): + if rem > 0: + output[i] += 1 + rem -= 1 + assert rem == 0, (rem, output, n, k) + assert sum(output) == n, (output, n, k) + return output + + +def _split_blocks(blocks: Iterable[Block], split_factor: float) -> Iterable[Block]: + for block in blocks: + block = BlockAccessor.for_block(block) + offset = 0 + split_sizes = _splitrange(block.num_rows(), split_factor) + for size in split_sizes: + yield block.slice(offset, offset + size, copy=False) + offset += size diff --git a/python/ray/data/_internal/execution/operators/map_transformer.py b/python/ray/data/_internal/execution/operators/map_transformer.py index 07f7da7aad76..826618358012 100644 --- a/python/ray/data/_internal/execution/operators/map_transformer.py +++ b/python/ray/data/_internal/execution/operators/map_transformer.py @@ -1,13 +1,12 @@ -import itertools import time -from abc import abstractmethod +from abc import ABC, abstractmethod from enum import Enum from typing import Any, Callable, Dict, Iterable, List, Optional, TypeVar, Union from ray.data._internal.block_batching.block_batching import batch_blocks from ray.data._internal.execution.interfaces.task_context import TaskContext from ray.data._internal.output_buffer import BlockOutputBuffer, OutputBlockSizeOption -from ray.data.block import Block, BlockAccessor, DataBatch +from ray.data.block import BatchFormat, Block, BlockAccessor, DataBatch # Allowed input/output data types for a MapTransformFn. Row = Dict[str, Any] @@ -27,70 +26,91 @@ class MapTransformFnDataType(Enum): Batch = 2 -class MapTransformFnCategory(Enum): - """An enum that represents the PreProcess/DataProcess/PostProcess category of a - MapTransformFn. - """ - - # Data format conversion before the actual data processing, i.e. converting input blocks to rows or batches. - PreProcess = 0 - - # Actual Data processing/transformation. - DataProcess = 1 - - # Data format conversion after the actual data processing, i.e., converting rows or batches to output blocks. - PostProcess = 2 - - -class MapTransformFn: +class MapTransformFn(ABC): """Represents a single transform function in a MapTransformer.""" def __init__( self, input_type: MapTransformFnDataType, - output_type: MapTransformFnDataType, - category: MapTransformFnCategory, + *, is_udf: bool = False, + output_block_size_option: Optional[OutputBlockSizeOption] = None, ): """ Args: - callable: the underlying Python callable object. - input_type: the type of the input data. - output_type: the type of the output data. + input_type: Expected type of the input data. + is_udf: Whether this transformation is UDF or not. + output_block_size_option: (Optional) Output block size configuration. """ - self._callable = callable self._input_type = input_type - self._output_type = output_type - self._category = category - self._output_block_size_option = None + self._output_block_size_option = output_block_size_option self._is_udf = is_udf @abstractmethod + def _post_process(self, results: Iterable[MapTransformFnData]) -> Iterable[Block]: + pass + + @abstractmethod + def _apply_transform( + self, ctx: TaskContext, inputs: Iterable[MapTransformFnData] + ) -> Iterable[MapTransformFnData]: + pass + + def _pre_process(self, blocks: Iterable[Block]) -> Iterable[MapTransformFnData]: + return blocks + + def _shape_blocks(self, results: Iterable[MapTransformFnData]) -> Iterable[Block]: + buffer = BlockOutputBuffer(self._output_block_size_option) + + # This method supports following modes of shaping of the output blocks: + # + # 1. Incremental: block is accumulated up to configured + # ``_output_block_size_option`` + # + # 2. *Non-incremental* (aka 1 block in / 1 block out): when + # no ``OutputBlockSizeOption`` is provided this method will absorb + # the whole input sequence and produce single block as an output + # + if self._input_type == MapTransformFnDataType.Block: + append = buffer.add_block + elif self._input_type == MapTransformFnDataType.Batch: + append = buffer.add_batch + else: + assert self._input_type == MapTransformFnDataType.Row + append = buffer.add + + # Iterate over input sequence appending results to the + # buffer, while yielding incrementally + for result in results: + append(result) + # Try yielding incrementally + while buffer.has_next(): + yield buffer.next() + # Finalize buffer + buffer.finalize() + # Yield remaining blocks from it + while buffer.has_next(): + yield buffer.next() + def __call__( self, - input: Iterable[MapTransformFnData], + blocks: Iterable[Block], ctx: TaskContext, - ) -> Iterable[MapTransformFnData]: - ... - - @property - def input_type(self) -> MapTransformFnDataType: - return self._input_type - - @property - def output_type(self) -> MapTransformFnDataType: - return self._output_type + ) -> Iterable[Block]: + batches = self._pre_process(blocks) + results = self._apply_transform(ctx, batches) + yield from self._post_process(results) - @property - def category(self) -> MapTransformFnCategory: - return self._category + @abstractmethod + def _can_skip_block_sizing(self): + pass @property def output_block_size_option(self): return self._output_block_size_option def override_target_max_block_size(self, target_max_block_size: Optional[int]): - self._output_block_size_option = OutputBlockSizeOption( + self._output_block_size_option = OutputBlockSizeOption.of( target_max_block_size=target_max_block_size ) @@ -101,12 +121,6 @@ def target_max_block_size(self): else: return self._output_block_size_option.target_max_block_size - def set_target_num_rows_per_block(self, target_num_rows_per_block: int): - assert target_num_rows_per_block is not None - self._output_block_size_option = OutputBlockSizeOption( - target_num_rows_per_block=target_num_rows_per_block - ) - @property def target_num_rows_per_block(self): if self._output_block_size_option is None: @@ -127,72 +141,49 @@ class MapTransformer: def __init__( self, transform_fns: List[MapTransformFn], + *, init_fn: Optional[Callable[[], None]] = None, + output_block_size_option_override: Optional[OutputBlockSizeOption] = None, ): """ Args: - transform_fns: A list of `MapTransformFn`s that will be executed sequentially - to transform data. - init_fn: A function that will be called before transforming data. - Used for the actor-based map operator. + transform_fns: A list of `MapTransformFn`s that will be executed sequentially + to transform data. + init_fn: A function that will be called before transforming data. + Used for the actor-based map operator. + output_block_size_option_override: (Optional) Output block size configuration. """ - self.set_transform_fns(transform_fns) + self._transform_fns = [] self._init_fn = init_fn if init_fn is not None else lambda: None - self._output_block_size_option = None + self._output_block_size_option_override = output_block_size_option_override self._udf_time = 0 - def set_transform_fns(self, transform_fns: List[MapTransformFn]) -> None: + # Add transformations + self.add_transform_fns(transform_fns) + + def add_transform_fns(self, transform_fns: List[MapTransformFn]) -> None: """Set the transform functions.""" assert len(transform_fns) > 0 - assert ( - transform_fns[0].input_type == MapTransformFnDataType.Block - ), "The first transform function must take blocks as input." - assert ( - transform_fns[-1].output_type == MapTransformFnDataType.Block - ), "The last transform function must output blocks." - - for i in range(len(transform_fns) - 1): - assert transform_fns[i].output_type == transform_fns[i + 1].input_type, ( - "The output type of the previous transform function must match " - "the input type of the next transform function." - ) - self._transform_fns = transform_fns + self._transform_fns = self._combine_transformations( + self._transform_fns, transform_fns + ) def get_transform_fns(self) -> List[MapTransformFn]: """Get the transform functions.""" return self._transform_fns def override_target_max_block_size(self, target_max_block_size: Optional[int]): - if target_max_block_size is not None: - self._output_block_size_option = OutputBlockSizeOption( - target_max_block_size=target_max_block_size - ) - elif self._output_block_size_option is not None: - self._output_block_size_option = None - - @property - def target_max_block_size(self): - if self._output_block_size_option is None: - return None - else: - return self._output_block_size_option.target_max_block_size - - def set_target_num_rows_per_block(self, target_num_rows_per_block: int): - assert ( - self._output_block_size_option is None - and target_num_rows_per_block is not None - ) - self._output_block_size_option = OutputBlockSizeOption( - target_num_rows_per_block=target_num_rows_per_block + self._output_block_size_option_override = OutputBlockSizeOption.of( + target_max_block_size=target_max_block_size ) @property - def target_num_rows_per_block(self): - if self._output_block_size_option is None: + def target_max_block_size_override(self) -> Optional[int]: + if self._output_block_size_option_override is None: return None else: - return self._output_block_size_option.target_num_rows_per_block + return self._output_block_size_option_override.target_max_block_size def init(self) -> None: """Initialize the transformer. @@ -219,9 +210,15 @@ def apply_transform( ctx: TaskContext, ) -> Iterable[Block]: """Apply the transform functions to the input blocks.""" - for transform_fn in self._transform_fns: - if not transform_fn.output_block_size_option: - transform_fn.override_target_max_block_size(self.target_max_block_size) + + # NOTE: We only need to configure last transforming function to do + # appropriate block sizing + last_transform = self._transform_fns[-1] + + if self.target_max_block_size_override is not None: + last_transform.override_target_max_block_size( + self.target_max_block_size_override + ) iter = input_blocks # Apply the transform functions sequentially to the input iterable. @@ -229,17 +226,18 @@ def apply_transform( iter = transform_fn(iter, ctx) if transform_fn._is_udf: iter = self._udf_timed_iter(iter) + return iter def fuse(self, other: "MapTransformer") -> "MapTransformer": """Fuse two `MapTransformer`s together.""" - assert self.target_max_block_size == other.target_max_block_size or ( - self.target_max_block_size is None or other.target_max_block_size is None - ) - target_max_block_size = ( - self.target_max_block_size or other.target_max_block_size + assert ( + self.target_max_block_size_override == other.target_max_block_size_override + or ( + self.target_max_block_size_override is None + or other.target_max_block_size_override is None + ) ) - # Define them as standalone variables to avoid fused_init_fn capturing the # entire `MapTransformer` object. self_init_fn = self._init_fn @@ -249,29 +247,32 @@ def fused_init_fn(): self_init_fn() other_init_fn() - fused_transform_fns = self._transform_fns + other._transform_fns - transformer = MapTransformer(fused_transform_fns, init_fn=fused_init_fn) - transformer.override_target_max_block_size(target_max_block_size) - return transformer + combined_transform_fns = self._combine_transformations( + self._transform_fns, + other._transform_fns, + ) - def udf_time(self) -> float: - return self._udf_time + transformer = MapTransformer( + combined_transform_fns, + init_fn=fused_init_fn, + output_block_size_option_override=OutputBlockSizeOption.of( + target_max_block_size=( + self.target_max_block_size_override + or other.target_max_block_size_override + ), + ), + ) + return transformer -def create_map_transformer_from_block_fn( - block_fn: MapTransformCallable[Block, Block], - init_fn: Optional[Callable[[], None]] = None, -): - """Create a MapTransformer from a single block-based transform function. + @classmethod + def _combine_transformations( + cls, ones: List[MapTransformFn], others: List[MapTransformFn] + ) -> list[Any]: + return ones + others - This method should only be used for testing and legacy compatibility. - """ - return MapTransformer( - [ - BlockMapTransformFn(block_fn), - ], - init_fn, - ) + def udf_time(self) -> float: + return self._udf_time # Below are subclasses of MapTransformFn. @@ -280,324 +281,148 @@ def create_map_transformer_from_block_fn( class RowMapTransformFn(MapTransformFn): """A rows-to-rows MapTransformFn.""" - def __init__(self, row_fn: MapTransformCallable[Row, Row], is_udf: bool = False): - self._row_fn = row_fn - super().__init__( - MapTransformFnDataType.Row, - MapTransformFnDataType.Row, - category=MapTransformFnCategory.DataProcess, - is_udf=is_udf, - ) - - def __call__(self, input: Iterable[Row], ctx: TaskContext) -> Iterable[Row]: - yield from self._row_fn(input, ctx) - - def __repr__(self) -> str: - return f"RowMapTransformFn({self._row_fn})" - - def __eq__(self, other): - return ( - isinstance(other, RowMapTransformFn) - and self._row_fn == other._row_fn - and self._is_udf == other._is_udf - ) - - -class BatchMapTransformFn(MapTransformFn): - """A batch-to-batch MapTransformFn.""" - - def __init__( - self, batch_fn: MapTransformCallable[DataBatch, DataBatch], is_udf: bool = False - ): - self._batch_fn = batch_fn - super().__init__( - MapTransformFnDataType.Batch, - MapTransformFnDataType.Batch, - category=MapTransformFnCategory.DataProcess, - is_udf=is_udf, - ) - - def __call__( - self, input: Iterable[DataBatch], ctx: TaskContext - ) -> Iterable[DataBatch]: - yield from self._batch_fn(input, ctx) - - def __repr__(self) -> str: - return f"BatchMapTransformFn({self._batch_fn})" - - def __eq__(self, other): - return ( - isinstance(other, BatchMapTransformFn) - and self._batch_fn == other._batch_fn - and self._is_udf == other._is_udf - ) - - -class RowToBlockMapTransformFn(MapTransformFn): - """A Row-to-Batch MapTransformFn.""" - def __init__( - self, transform_fn: MapTransformCallable[Row, Block], is_udf: bool = False + self, + row_fn: MapTransformCallable[Row, Row], + *, + is_udf: bool = False, + output_block_size_option: OutputBlockSizeOption, ): - self._transform_fn = transform_fn super().__init__( - MapTransformFnDataType.Row, - MapTransformFnDataType.Block, - category=MapTransformFnCategory.DataProcess, + input_type=MapTransformFnDataType.Row, is_udf=is_udf, + output_block_size_option=output_block_size_option, ) - def __call__(self, input: Iterable[Row], ctx: TaskContext) -> Iterable[Block]: - yield from self._transform_fn(input, ctx) - - def __eq__(self, other): - return ( - isinstance(other, RowToBlockMapTransformFn) - and self._transform_fn == other._transform_fn - and self._is_udf == other._is_udf - ) - - -class BlockMapTransformFn(MapTransformFn): - """A block-to-block MapTransformFn.""" - - def __init__(self, block_fn: MapTransformCallable[Block, Block]): - self._block_fn = block_fn - super().__init__( - MapTransformFnDataType.Block, - MapTransformFnDataType.Block, - category=MapTransformFnCategory.DataProcess, - ) - - def __call__(self, input: Iterable[Block], ctx: TaskContext) -> Iterable[Block]: - yield from self._block_fn(input, ctx) - - def __repr__(self) -> str: - return f"BlockMapTransformFn({self._block_fn})" - - def __eq__(self, other): - return ( - isinstance(other, BlockMapTransformFn) and self._block_fn == other._block_fn - ) - - -class BlocksToRowsMapTransformFn(MapTransformFn): - """A MapTransformFn that converts input blocks to rows.""" - - def __init__(self): - super().__init__( - MapTransformFnDataType.Block, - MapTransformFnDataType.Row, - category=MapTransformFnCategory.PreProcess, - ) + self._row_fn = row_fn - def __call__(self, blocks: Iterable[Block], _: TaskContext) -> Iterable[Row]: + def _pre_process(self, blocks: Iterable[Block]) -> Iterable[MapTransformFnData]: for block in blocks: block = BlockAccessor.for_block(block) for row in block.iter_rows(public_row_format=True): yield row - @classmethod - def instance(cls) -> "BlocksToRowsMapTransformFn": - """Returns the singleton instance.""" - if getattr(cls, "_instance", None) is None: - cls._instance = cls() - return cls._instance + def _apply_transform( + self, ctx: TaskContext, inputs: Iterable[MapTransformFnData] + ) -> Iterable[MapTransformFnData]: + yield from self._row_fn(inputs, ctx) - def __repr__(self) -> str: - return "BlocksToRowsMapTransformFn()" + def _post_process(self, results: Iterable[MapTransformFnData]) -> Iterable[Block]: + return self._shape_blocks(results) + + def _can_skip_block_sizing(self): + return False - def __eq__(self, other): - return isinstance(other, BlocksToRowsMapTransformFn) + def __repr__(self) -> str: + return f"RowMapTransformFn({self._row_fn})" -class BlocksToBatchesMapTransformFn(MapTransformFn): - """A MapTransformFn that converts input blocks to batches.""" +class BatchMapTransformFn(MapTransformFn): + """A batch-to-batch MapTransformFn.""" def __init__( self, + batch_fn: MapTransformCallable[DataBatch, DataBatch], + *, + is_udf: bool = False, batch_size: Optional[int] = None, - batch_format: str = "default", + batch_format: Optional[BatchFormat] = None, zero_copy_batch: bool = False, + output_block_size_option: Optional[OutputBlockSizeOption] = None, ): + super().__init__( + input_type=MapTransformFnDataType.Batch, + is_udf=is_udf, + output_block_size_option=output_block_size_option, + ) + self._batch_size = batch_size self._batch_format = batch_format + self._zero_copy_batch = zero_copy_batch self._ensure_copy = not zero_copy_batch and batch_size is not None - super().__init__( - MapTransformFnDataType.Block, - MapTransformFnDataType.Batch, - category=MapTransformFnCategory.PreProcess, - ) - def __call__( - self, - blocks: Iterable[Block], - _: TaskContext, - ) -> Iterable[DataBatch]: - """Converts input blocks to batches.""" - block_iter = iter(blocks) - first = next(block_iter, None) - if first is None: - return [] - blocks = itertools.chain([first], block_iter) - empty_block = BlockAccessor.for_block(first).builder().build() - # Don't hold the first block in memory, so we reset the reference. - first = None - - # Ensure that zero-copy batch views are copied so mutating UDFs don't error. - formatted_batch_iter = batch_blocks( - blocks=blocks, + self._batch_fn = batch_fn + + def _pre_process(self, blocks: Iterable[Block]) -> Iterable[MapTransformFnData]: + # TODO make batch-udf zero-copy by default + ensure_copy = not self._zero_copy_batch and self._batch_size is not None + + return batch_blocks( + blocks=iter(blocks), stats=None, batch_size=self._batch_size, batch_format=self._batch_format, - ensure_copy=self._ensure_copy, + ensure_copy=ensure_copy, ) - first = next(formatted_batch_iter, None) - if first is None: - # If the input blocks are all empty, then yield an empty block with same - # format as the input blocks. - return [empty_block] - else: - return itertools.chain([first], formatted_batch_iter) - - @property - def batch_size(self) -> Optional[int]: - return self._batch_size - - @property - def batch_format(self) -> str: - return self._batch_format + def _apply_transform( + self, ctx: TaskContext, batches: Iterable[MapTransformFnData] + ) -> Iterable[MapTransformFnData]: + yield from self._batch_fn(batches, ctx) - @property - def zero_copy_batch(self) -> bool: - return not self._ensure_copy + def _post_process(self, results: Iterable[MapTransformFnData]) -> Iterable[Block]: + return self._shape_blocks(results) - def __repr__(self) -> str: - return ( - f"BlocksToBatchesMapTransformFn(" - f"batch_size={self._batch_size}, " - f"batch_format={self._batch_format}, " - f"zero_copy_batch={self.zero_copy_batch}" - f")" + def _can_skip_block_sizing(self): + return self._output_block_size_option is None and self._batch_format in ( + BatchFormat.ARROW, + BatchFormat.PANDAS, ) - def __eq__(self, other): - return ( - isinstance(other, BlocksToBatchesMapTransformFn) - and self._batch_format == other._batch_format - and self._batch_size == other._batch_size - and self._ensure_copy == other._ensure_copy - ) + def __repr__(self) -> str: + return f"BatchMapTransformFn({self._batch_fn=}, {self._batch_format=}, {self._batch_size=}, {self._zero_copy_batch=})" -class BuildOutputBlocksMapTransformFn(MapTransformFn): - """A MapTransformFn that converts UDF-returned data to output blocks.""" +class BlockMapTransformFn(MapTransformFn): + """A block-to-block MapTransformFn.""" - def __init__(self, input_type: MapTransformFnDataType): + def __init__( + self, + block_fn: MapTransformCallable[Block, Block], + *, + is_udf: bool = False, + disable_block_shaping: bool = False, + output_block_size_option: Optional[OutputBlockSizeOption] = None, + ): """ + Initializes the object with a transformation function, accompanying options, and + configuration for handling blocks during processing. + Args: - input_type: the type of input data. + block_fn: Callable function to apply a transformation to a block. + is_udf: Specifies if the transformation function is a user-defined + function (defaults to ``False``). + disable_block_shaping: Disables block-shaping, making transformer to + produce blocks as is. + output_block_size_option: (Optional) Configure output block sizing. """ - self._input_type = input_type + super().__init__( - input_type, - MapTransformFnDataType.Block, - category=MapTransformFnCategory.PostProcess, + input_type=MapTransformFnDataType.Block, + is_udf=is_udf, + output_block_size_option=output_block_size_option, ) - def __call__( - self, - iter: Iterable[MapTransformFnData], - _: TaskContext, - ) -> Iterable[Block]: - """Convert UDF-returned data to output blocks. + self._block_fn = block_fn + self._disable_block_shaping = disable_block_shaping - Args: - iter: the iterable of UDF-returned data, whose type - must match self._input_type. - """ - output_buffer = BlockOutputBuffer(self.output_block_size_option) - if self._input_type == MapTransformFnDataType.Block: - add_fn = output_buffer.add_block - elif self._input_type == MapTransformFnDataType.Batch: - add_fn = output_buffer.add_batch - else: - assert self._input_type == MapTransformFnDataType.Row - add_fn = output_buffer.add - for data in iter: - add_fn(data) - while output_buffer.has_next(): - yield output_buffer.next() - output_buffer.finalize() - while output_buffer.has_next(): - yield output_buffer.next() + def _apply_transform( + self, ctx: TaskContext, blocks: Iterable[Block] + ) -> Iterable[Block]: + yield from self._block_fn(blocks, ctx) - @classmethod - def for_rows(cls) -> "BuildOutputBlocksMapTransformFn": - """Return a BuildOutputBlocksMapTransformFn for row input.""" - return cls(MapTransformFnDataType.Row) + def _post_process(self, results: Iterable[MapTransformFnData]) -> Iterable[Block]: + # Short-circuit for block transformations for which no + # block-shaping is required + if self._disable_block_shaping: + return results - @classmethod - def for_batches(cls) -> "BuildOutputBlocksMapTransformFn": - """Return a BuildOutputBlocksMapTransformFn for batch input.""" - return cls(MapTransformFnDataType.Batch) + return self._shape_blocks(results) - @classmethod - def for_blocks(cls) -> "BuildOutputBlocksMapTransformFn": - """Return a BuildOutputBlocksMapTransformFn for block input.""" - return cls(MapTransformFnDataType.Block) + def _can_skip_block_sizing(self): + return self._output_block_size_option is None def __repr__(self) -> str: - return f"BuildOutputBlocksMapTransformFn(input_type={self._input_type})" - - def __eq__(self, other): return ( - isinstance(other, BuildOutputBlocksMapTransformFn) - and self._input_type == other._input_type + f"BlockMapTransformFn({self._block_fn=}, {self._output_block_size_option=})" ) - - -def _splitrange(n, k): - """Calculates array lens of np.array_split(). - - This is the equivalent of - `[len(x) for x in np.array_split(range(n), k)]`. - """ - base = n // k - output = [base] * k - rem = n - sum(output) - for i in range(len(output)): - if rem > 0: - output[i] += 1 - rem -= 1 - assert rem == 0, (rem, output, n, k) - assert sum(output) == n, (output, n, k) - return output - - -class ApplyAdditionalSplitToOutputBlocks(MapTransformFn): - """Do additional splits on output blocks.""" - - def __init__(self, additional_split_factor: int): - """ - Args: - additional_output_splits: The number of additional splits, must be - greater than 1. - """ - assert additional_split_factor > 1 - self._additional_split_factor = additional_split_factor - super().__init__( - MapTransformFnDataType.Block, - MapTransformFnDataType.Block, - category=MapTransformFnCategory.PostProcess, - ) - - def __call__(self, blocks: Iterable[Block], ctx: TaskContext) -> Iterable[Block]: - for block in blocks: - block = BlockAccessor.for_block(block) - offset = 0 - split_sizes = _splitrange(block.num_rows(), self._additional_split_factor) - for size in split_sizes: - yield block.slice(offset, offset + size, copy=False) - offset += size diff --git a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py index fd402d73cd05..2dbcc9957186 100644 --- a/python/ray/data/_internal/execution/operators/task_pool_map_operator.py +++ b/python/ray/data/_internal/execution/operators/task_pool_map_operator.py @@ -21,8 +21,8 @@ def __init__( map_transformer: MapTransformer, input_op: PhysicalOperator, data_context: DataContext, - target_max_block_size: Optional[int], name: str = "TaskPoolMap", + target_max_block_size_override: Optional[int] = None, min_rows_per_bundle: Optional[int] = None, concurrency: Optional[int] = None, supports_fusion: bool = True, @@ -36,8 +36,7 @@ def __init__( transform_fn: The function to apply to each ref bundle input. input_op: Operator generating input data for this op. name: The name of this operator. - target_max_block_size: The target maximum number of bytes to - include in an output block. + target_max_block_size_override: Override for target max-block-size. min_rows_per_bundle: The number of rows to gather per batch passed to the transform_fn, or None to use the block size. Setting the batch size is important for the performance of GPU-accelerated transform functions. @@ -60,7 +59,7 @@ def __init__( input_op, data_context, name, - target_max_block_size, + target_max_block_size_override, min_rows_per_bundle, supports_fusion, map_task_kwargs, @@ -85,7 +84,7 @@ def _add_bundled_input(self, bundle: RefBundle): ctx = TaskContext( task_idx=self._next_data_task_idx, op_name=self.name, - target_max_block_size_override=self.actual_target_max_block_size, + target_max_block_size_override=self.target_max_block_size_override, ) dynamic_ray_remote_args = self._get_runtime_ray_remote_args(input_bundle=bundle) diff --git a/python/ray/data/_internal/logical/optimizers.py b/python/ray/data/_internal/logical/optimizers.py index f91923c6706f..889e5491f3b6 100644 --- a/python/ray/data/_internal/logical/optimizers.py +++ b/python/ray/data/_internal/logical/optimizers.py @@ -18,9 +18,6 @@ from ray.data._internal.logical.rules.operator_fusion import FuseOperators from ray.data._internal.logical.rules.projection_pushdown import ProjectionPushdown from ray.data._internal.logical.rules.set_read_parallelism import SetReadParallelismRule -from ray.data._internal.logical.rules.zero_copy_map_fusion import ( - EliminateBuildOutputBlocks, -) from ray.util.annotations import DeveloperAPI _LOGICAL_RULESET = Ruleset( @@ -37,7 +34,6 @@ InheritTargetMaxBlockSizeRule, SetReadParallelismRule, FuseOperators, - EliminateBuildOutputBlocks, ConfigureMapTaskMemoryUsingOutputSize, ] ) diff --git a/python/ray/data/_internal/logical/rules/operator_fusion.py b/python/ray/data/_internal/logical/rules/operator_fusion.py index ba1e07797d4c..951905974408 100644 --- a/python/ray/data/_internal/logical/rules/operator_fusion.py +++ b/python/ray/data/_internal/logical/rules/operator_fusion.py @@ -35,7 +35,6 @@ AbstractMap, AbstractUDFMap, ) -from ray.data.context import DataContext # Scheduling strategy can be inherited from upstream operator if not specified. INHERITABLE_REMOTE_ARGS = ["scheduling_strategy"] @@ -214,7 +213,6 @@ def _can_fuse(self, down_op: PhysicalOperator, up_op: PhysicalOperator) -> bool: if not self._can_merge_target_max_block_size( up_op.target_max_block_size_override, down_op.target_max_block_size_override, - up_op.data_context, ): return False @@ -250,35 +248,27 @@ def _can_merge_target_max_block_size( self, up_target_max_block_size: Optional[int], down_target_max_block_size: Optional[int], - data_context: DataContext, - ): - # If the upstream op overrode the target max block size, only fuse if - # they are equal. - if up_target_max_block_size is not None: - if down_target_max_block_size is None: - down_target_max_block_size = data_context.target_max_block_size - if up_target_max_block_size != down_target_max_block_size: - return False + ) -> bool: + if ( + up_target_max_block_size is not None + and down_target_max_block_size is not None + ): + # NOTE: In case of both ops overriding `target_max_block_size` only + # merge them if settings are equal + return down_target_max_block_size == up_target_max_block_size + return True def _get_merged_target_max_block_size( self, up_target_max_block_size: Optional[int], down_target_max_block_size: Optional[int], - ): - if up_target_max_block_size is not None: - # If the upstream op overrode the target max block size, we can - # only merge if the downstream op matches or uses the default. - assert ( - down_target_max_block_size is None - or down_target_max_block_size == up_target_max_block_size - ) - return up_target_max_block_size - else: - # Upstream op inherits the downstream op's target max block size, - # because the downstream op is the one that outputs the final - # blocks. - return down_target_max_block_size + ) -> Optional[int]: + assert self._can_merge_target_max_block_size( + up_target_max_block_size, down_target_max_block_size + ) + + return up_target_max_block_size or down_target_max_block_size def _get_fused_map_operator( self, down_op: MapOperator, up_op: MapOperator @@ -328,7 +318,7 @@ def _get_fused_map_operator( up_op.get_map_transformer().fuse(down_op.get_map_transformer()), input_op, up_op.data_context, - target_max_block_size=target_max_block_size, + target_max_block_size_override=target_max_block_size, name=name, compute_strategy=compute, min_rows_per_bundle=min_rows_per_bundled_input, diff --git a/python/ray/data/_internal/logical/rules/set_read_parallelism.py b/python/ray/data/_internal/logical/rules/set_read_parallelism.py index faf88a682f8e..faed7b87919d 100644 --- a/python/ray/data/_internal/logical/rules/set_read_parallelism.py +++ b/python/ray/data/_internal/logical/rules/set_read_parallelism.py @@ -116,7 +116,7 @@ def _apply(self, op: PhysicalOperator, logical_op: Read): logical_op._datasource_or_legacy_reader, logical_op._parallelism, logical_op._mem_size, - op.actual_target_max_block_size, + op.target_max_block_size_override or op.data_context.target_max_block_size, op._additional_split_factor, ) diff --git a/python/ray/data/_internal/logical/rules/zero_copy_map_fusion.py b/python/ray/data/_internal/logical/rules/zero_copy_map_fusion.py deleted file mode 100644 index d8f3ec976112..000000000000 --- a/python/ray/data/_internal/logical/rules/zero_copy_map_fusion.py +++ /dev/null @@ -1,97 +0,0 @@ -from abc import abstractmethod -from typing import List, Type - -from ray.data._internal.execution.operators.map_operator import MapOperator -from ray.data._internal.execution.operators.map_transformer import ( - BuildOutputBlocksMapTransformFn, - MapTransformFn, - MapTransformFnCategory, - MapTransformFnDataType, -) -from ray.data._internal.logical.interfaces.optimizer import Rule -from ray.data._internal.logical.interfaces.physical_plan import PhysicalPlan -from ray.data._internal.logical.rules.operator_fusion import FuseOperators - - -class ZeroCopyMapFusionRule(Rule): - """Base abstract class for all zero-copy map fusion rules. - - A zero-copy map fusion rule is a rule that optimizes the transform_fn chain of - a fused MapOperator. The optimization is usually done by removing unnecessary - data conversions. - - This base abstract class defines the common util functions. And subclasses - should implement the `_optimize` method for the concrete optimization - strategy. - """ - - @classmethod - def dependencies(cls) -> List[Type[Rule]]: - return [FuseOperators] - - def apply(self, plan: PhysicalPlan) -> PhysicalPlan: - self._traverse(plan.dag) - return plan - - def _traverse(self, op): - """Traverse the DAG and apply the optimization to each MapOperator.""" - if isinstance(op, MapOperator): - map_transformer = op.get_map_transformer() - transform_fns = map_transformer.get_transform_fns() - new_transform_fns = self._optimize(transform_fns) - # Physical operators won't be shared, - # so it's safe to modify the transform_fns in place. - map_transformer.set_transform_fns(new_transform_fns) - - for input_op in op.input_dependencies: - self._traverse(input_op) - - @abstractmethod - def _optimize(self, transform_fns: List[MapTransformFn]) -> List[MapTransformFn]: - """Optimize the transform_fns chain of a MapOperator. - - Args: - transform_fns: The old transform_fns chain. - Returns: - The optimized transform_fns chain. - """ - ... - - -class EliminateBuildOutputBlocks(ZeroCopyMapFusionRule): - """This rule eliminates unnecessary BuildOutputBlocksMapTransformFn - (which is of category MapTransformFnCategory.PostProcess), if the previous fn - already outputs blocks. - - This happens for the "Read -> Map/Write" fusion. - """ - - def _optimize(self, transform_fns: List[MapTransformFn]) -> List[MapTransformFn]: - # For the following subsquence, - # 1. Any MapTransformFn with block output. - # 2. BuildOutputBlocksMapTransformFn - # 3. Any MapTransformFn with block input. - # We drop the BuildOutputBlocksMapTransformFn in the middle. - new_transform_fns = [] - - for i in range(len(transform_fns)): - cur_fn = transform_fns[i] - drop = False - if ( - i > 0 - and i < len(transform_fns) - 1 - and isinstance(cur_fn, BuildOutputBlocksMapTransformFn) - ): - assert cur_fn.category == MapTransformFnCategory.PostProcess - prev_fn = transform_fns[i - 1] - next_fn = transform_fns[i + 1] - if ( - prev_fn.output_type == MapTransformFnDataType.Block - and next_fn.input_type == MapTransformFnDataType.Block - ): - assert prev_fn.category == MapTransformFnCategory.DataProcess - drop = True - if not drop: - new_transform_fns.append(cur_fn) - - return new_transform_fns diff --git a/python/ray/data/_internal/output_buffer.py b/python/ray/data/_internal/output_buffer.py index e893ed09621e..8f71b2f7acc2 100644 --- a/python/ray/data/_internal/output_buffer.py +++ b/python/ray/data/_internal/output_buffer.py @@ -12,6 +12,30 @@ class OutputBlockSizeOption: target_max_block_size: Optional[int] = None target_num_rows_per_block: Optional[int] = None + def __post_init__(self): + if ( + self.target_max_block_size is None + and self.target_num_rows_per_block is None + ): + raise ValueError( + "Either `target_max_block_size` or `target_num_rows_per_block` " + "must be specified" + ) + + @classmethod + def of( + cls, + target_max_block_size: Optional[int] = None, + target_num_rows_per_block: Optional[int] = None, + ) -> Optional["OutputBlockSizeOption"]: + if target_max_block_size is None and target_num_rows_per_block is None: + return None + else: + return OutputBlockSizeOption( + target_max_block_size=target_max_block_size, + target_num_rows_per_block=target_num_rows_per_block, + ) + class BlockOutputBuffer: """Generates output blocks of a given size or number of rows given a stream of diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index ff08af3c0622..d536984701d7 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -235,7 +235,7 @@ def _table_from_pydict(columns: Dict[str, List[Any]]) -> "pandas.DataFrame": ) @staticmethod - def _concat_tables(tables: List["pandas.DataFrame"]) -> "pandas.DataFrame": + def _combine_tables(tables: List["pandas.DataFrame"]) -> "pandas.DataFrame": pandas = lazy_import_pandas() from ray.air.util.data_batch_conversion import ( _cast_ndarray_columns_to_tensor_extension, @@ -246,9 +246,11 @@ def _concat_tables(tables: List["pandas.DataFrame"]) -> "pandas.DataFrame": df.reset_index(drop=True, inplace=True) else: df = tables[0] + ctx = DataContext.get_current() if ctx.enable_tensor_extension_casting: df = _cast_ndarray_columns_to_tensor_extension(df) + return df @staticmethod diff --git a/python/ray/data/_internal/planner/plan_download_op.py b/python/ray/data/_internal/planner/plan_download_op.py index 279e90ab9470..2a0c3306d326 100644 --- a/python/ray/data/_internal/planner/plan_download_op.py +++ b/python/ray/data/_internal/planner/plan_download_op.py @@ -15,6 +15,7 @@ MapTransformer, ) from ray.data._internal.logical.operators.one_to_one_operator import Download +from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.util import RetryingPyFileSystem, make_async_gen from ray.data.block import BlockAccessor from ray.data.context import DataContext @@ -65,10 +66,19 @@ def plan_download_op( PartitionActor, (), {}, (uri_column_name, data_context), {} ) block_fn = _generate_transform_fn_for_map_batches(fn) + partition_transform_fns = [ - BlockMapTransformFn(block_fn), + BlockMapTransformFn( + block_fn, + # NOTE: Disable block-shaping to produce blocks as is + disable_block_shaping=True, + ), ] - partition_map_transformer = MapTransformer(partition_transform_fns, init_fn) + partition_map_transformer = MapTransformer( + partition_transform_fns, + init_fn=init_fn, + ) + partition_map_operator = MapOperator.create( partition_map_transformer, input_physical_dag, @@ -85,12 +95,23 @@ def plan_download_op( None, None, ) + download_transform_fn = _generate_transform_fn_for_map_batches(fn) transform_fns = [ - BlockMapTransformFn(download_transform_fn), + BlockMapTransformFn( + download_transform_fn, + output_block_size_option=OutputBlockSizeOption.of( + target_max_block_size=data_context.target_max_block_size + ), + ), ] - download_map_transformer = MapTransformer(transform_fns, init_fn) + download_compute = TaskPoolStrategy() + download_map_transformer = MapTransformer( + transform_fns, + init_fn=init_fn, + ) + download_map_operator = MapOperator.create( download_map_transformer, partition_map_operator if partition_map_operator else input_physical_dag, diff --git a/python/ray/data/_internal/planner/plan_read_op.py b/python/ray/data/_internal/planner/plan_read_op.py index 34bb16e49f67..1ca73b4b601b 100644 --- a/python/ray/data/_internal/planner/plan_read_op.py +++ b/python/ray/data/_internal/planner/plan_read_op.py @@ -11,12 +11,11 @@ from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.execution.operators.map_transformer import ( BlockMapTransformFn, - BuildOutputBlocksMapTransformFn, MapTransformer, - MapTransformFn, ) from ray.data._internal.execution.util import memory_string from ray.data._internal.logical.operators.read_operator import Read +from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.util import _warn_on_high_parallelism from ray.data.block import Block, BlockMetadata from ray.data.context import DataContext @@ -103,19 +102,23 @@ def do_read(blocks: Iterable[ReadTask], _: TaskContext) -> Iterable[Block]: yield from read_task() # Create a MapTransformer for a read operator - transform_fns: List[MapTransformFn] = [ - # First, execute the read tasks. - BlockMapTransformFn(do_read), - ] - transform_fns.append(BuildOutputBlocksMapTransformFn.for_blocks()) - map_transformer = MapTransformer(transform_fns) + map_transformer = MapTransformer( + [ + BlockMapTransformFn( + do_read, + is_udf=False, + output_block_size_option=OutputBlockSizeOption.of( + target_max_block_size=data_context.target_max_block_size, + ), + ), + ] + ) return MapOperator.create( map_transformer, inputs, data_context, name=op.name, - target_max_block_size=None, compute_strategy=TaskPoolStrategy(op._concurrency), ray_remote_args=op._ray_remote_args, ) diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index 3809bcafd8a5..adc8d3157471 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -32,9 +32,6 @@ from ray.data._internal.execution.operators.map_transformer import ( BatchMapTransformFn, BlockMapTransformFn, - BlocksToBatchesMapTransformFn, - BlocksToRowsMapTransformFn, - BuildOutputBlocksMapTransformFn, MapTransformCallable, MapTransformer, Row, @@ -51,8 +48,10 @@ StreamingRepartition, ) from ray.data._internal.numpy_support import _is_valid_column_values +from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.util import _truncated_repr from ray.data.block import ( + BatchFormat, Block, BlockAccessor, CallableClass, @@ -119,7 +118,7 @@ def plan_project_op( columns_rename = op.cols_rename exprs = op.exprs - def fn(block: Block) -> Block: + def _project_block(block: Block) -> Block: try: block_accessor = BlockAccessor.for_block(block) if not block_accessor.num_rows(): @@ -152,9 +151,11 @@ def fn(block: Block) -> Block: _try_wrap_udf_exception(e) compute = get_compute(op._compute) - transform_fn = _generate_transform_fn_for_map_block(fn) - map_transformer = _create_map_transformer_for_block_based_map_op( - transform_fn, + + map_transformer = MapTransformer( + [ + BlockMapTransformFn(_generate_transform_fn_for_map_block(_project_block)), + ] ) return MapOperator.create( @@ -176,9 +177,18 @@ def plan_streaming_repartition_op( assert len(physical_children) == 1 input_physical_dag = physical_children[0] compute = get_compute(op._compute) - transform_fn = BuildOutputBlocksMapTransformFn.for_blocks() - transform_fn.set_target_num_rows_per_block(op.target_num_rows_per_block) + + # Create a no-op transform that is just coalescing/slicing the incoming + # blocks + transform_fn = BlockMapTransformFn( + lambda blocks, ctx: blocks, + output_block_size_option=OutputBlockSizeOption.of( + target_num_rows_per_block=op.target_num_rows_per_block + ), + ) + map_transformer = MapTransformer([transform_fn]) + # Disable fusion for streaming repartition with the downstream op. return MapOperator.create( map_transformer, @@ -200,6 +210,10 @@ def plan_filter_op( assert len(physical_children) == 1 input_physical_dag = physical_children[0] + output_block_size_option = OutputBlockSizeOption.of( + target_max_block_size=data_context.target_max_block_size, + ) + expression = op._filter_expr compute = get_compute(op._compute) if expression is not None: @@ -210,13 +224,16 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": except Exception as e: _try_wrap_udf_exception(e) - transform_fn = _generate_transform_fn_for_map_batches(filter_batch_fn) - map_transformer = _create_map_transformer_for_map_batches_op( - transform_fn, + init_fn = None + transform_fn = BatchMapTransformFn( + _generate_transform_fn_for_map_batches(filter_batch_fn), batch_size=None, - batch_format="pyarrow", + batch_format=BatchFormat.ARROW, zero_copy_batch=True, + is_udf=True, + output_block_size_option=output_block_size_option, ) + else: udf_is_callable_class = isinstance(op._fn, CallableClass) filter_fn, init_fn = _get_udf( @@ -226,11 +243,15 @@ def filter_batch_fn(block: "pa.Table") -> "pa.Table": op._fn_constructor_args if udf_is_callable_class else None, op._fn_constructor_kwargs if udf_is_callable_class else None, ) - transform_fn = _generate_transform_fn_for_filter(filter_fn) - map_transformer = _create_map_transformer_for_row_based_map_op( - transform_fn, init_fn + + transform_fn = RowMapTransformFn( + _generate_transform_fn_for_filter(filter_fn), + is_udf=True, + output_block_size_option=output_block_size_option, ) + map_transformer = MapTransformer([transform_fn], init_fn=init_fn) + return MapOperator.create( map_transformer, input_physical_dag, @@ -255,6 +276,10 @@ def plan_udf_map_op( assert len(physical_children) == 1 input_physical_dag = physical_children[0] + output_block_size_option = OutputBlockSizeOption.of( + target_max_block_size=data_context.target_max_block_size, + ) + compute = get_compute(op._compute) udf_is_callable_class = isinstance(op._fn, CallableClass) fn, init_fn = _get_udf( @@ -266,32 +291,36 @@ def plan_udf_map_op( ) if isinstance(op, MapBatches): - transform_fn = _generate_transform_fn_for_map_batches(fn) - map_transformer = _create_map_transformer_for_map_batches_op( - transform_fn, - op._batch_size, - op._batch_format, - op._zero_copy_batch, - init_fn, + transform_fn = BatchMapTransformFn( + _generate_transform_fn_for_map_batches(fn), + batch_size=op._batch_size, + batch_format=op._batch_format, + zero_copy_batch=op._zero_copy_batch, + is_udf=True, + output_block_size_option=output_block_size_option, ) + else: if isinstance(op, MapRows): - transform_fn = _generate_transform_fn_for_map_rows(fn) + udf_fn = _generate_transform_fn_for_map_rows(fn) elif isinstance(op, FlatMap): - transform_fn = _generate_transform_fn_for_flat_map(fn) + udf_fn = _generate_transform_fn_for_flat_map(fn) else: raise ValueError(f"Found unknown logical operator during planning: {op}") - map_transformer = _create_map_transformer_for_row_based_map_op( - transform_fn, init_fn + transform_fn = RowMapTransformFn( + udf_fn, + is_udf=True, + output_block_size_option=output_block_size_option, ) + map_transformer = MapTransformer([transform_fn], init_fn=init_fn) + return MapOperator.create( map_transformer, input_physical_dag, data_context, name=op.name, - target_max_block_size=None, compute_strategy=compute, min_rows_per_bundle=op._min_rows_per_bundled_input, ray_remote_args_fn=op._ray_remote_args_fn, @@ -594,62 +623,6 @@ def transform_fn(blocks: Iterable[Block], _: TaskContext) -> Iterable[Block]: return transform_fn -# Following are util functions for creating `MapTransformer`s. - - -def _create_map_transformer_for_map_batches_op( - batch_fn: MapTransformCallable[DataBatch, DataBatch], - batch_size: Optional[int] = None, - batch_format: str = "default", - zero_copy_batch: bool = False, - init_fn: Optional[Callable[[], None]] = None, -) -> MapTransformer: - """Create a MapTransformer for a map_batches operator.""" - transform_fns = [ - # Convert input blocks to batches. - BlocksToBatchesMapTransformFn( - batch_size=batch_size, - batch_format=batch_format, - zero_copy_batch=zero_copy_batch, - ), - # Apply the UDF. - BatchMapTransformFn(batch_fn, is_udf=True), - # Convert output batches to blocks. - BuildOutputBlocksMapTransformFn.for_batches(), - ] - return MapTransformer(transform_fns, init_fn) - - -def _create_map_transformer_for_row_based_map_op( - row_fn: MapTransformCallable[Row, Row], - init_fn: Optional[Callable[[], None]] = None, -) -> MapTransformer: - """Create a MapTransformer for a row-based map operator - (e.g. map, flat_map, filter).""" - transform_fns = [ - # Convert input blocks to rows. - BlocksToRowsMapTransformFn.instance(), - # Apply the UDF. - RowMapTransformFn(row_fn, is_udf=True), - # Convert output rows to blocks. - BuildOutputBlocksMapTransformFn.for_rows(), - ] - return MapTransformer(transform_fns, init_fn=init_fn) - - -def _create_map_transformer_for_block_based_map_op( - block_fn: MapTransformCallable[Block, Block], - init_fn: Optional[Callable[[], None]] = None, -) -> MapTransformer: - """Create a MapTransformer for a block-based map operator.""" - transform_fns = [ - # Apply the UDF. - BlockMapTransformFn(block_fn), - BuildOutputBlocksMapTransformFn.for_blocks(), - ] - return MapTransformer(transform_fns, init_fn=init_fn) - - _SENTINEL = object() T = TypeVar("T") diff --git a/python/ray/data/_internal/planner/plan_write_op.py b/python/ray/data/_internal/planner/plan_write_op.py index 308f414dd861..8818f5341901 100644 --- a/python/ray/data/_internal/planner/plan_write_op.py +++ b/python/ray/data/_internal/planner/plan_write_op.py @@ -56,9 +56,7 @@ def fn(blocks: Iterator[Block], ctx: TaskContext) -> Iterator[Block]: return fn -def generate_collect_write_stats_fn() -> ( - Callable[[Iterator[Block], TaskContext], Iterator[Block]] -): +def generate_collect_write_stats_fn() -> BlockMapTransformFn: # If the write op succeeds, the resulting Dataset is a list of # one Block which contain stats/metrics about the write. # Otherwise, an error will be raised. The Datasource can handle @@ -82,31 +80,53 @@ def fn(blocks: Iterator[Block], ctx: TaskContext) -> Iterator[Block]: ) return iter([block]) - return fn + return BlockMapTransformFn( + fn, + is_udf=False, + disable_block_shaping=True, + ) def plan_write_op( op: Write, physical_children: List[PhysicalOperator], data_context: DataContext, +) -> PhysicalOperator: + collect_stats_fn = generate_collect_write_stats_fn() + + return _plan_write_op_internal( + op, physical_children, data_context, extra_transformations=[collect_stats_fn] + ) + + +def _plan_write_op_internal( + op: Write, + physical_children: List[PhysicalOperator], + data_context: DataContext, + extra_transformations: List[BlockMapTransformFn], ) -> PhysicalOperator: assert len(physical_children) == 1 input_physical_dag = physical_children[0] write_fn = generate_write_fn(op._datasink_or_legacy_datasource, **op._write_args) - collect_stats_fn = generate_collect_write_stats_fn() + # Create a MapTransformer for a write operator transform_fns = [ - BlockMapTransformFn(write_fn), - BlockMapTransformFn(collect_stats_fn), - ] + BlockMapTransformFn( + write_fn, + is_udf=False, + # NOTE: No need for block-shaping + disable_block_shaping=True, + ), + ] + extra_transformations + map_transformer = MapTransformer(transform_fns) + return MapOperator.create( map_transformer, input_physical_dag, data_context, name="Write", - target_max_block_size=None, # Add a UUID to write tasks to prevent filename collisions. This a UUID for the # overall write operation, not the individual write tasks. map_task_kwargs={WRITE_UUID_KWARG_NAME: uuid.uuid4().hex}, diff --git a/python/ray/data/_internal/planner/random_shuffle.py b/python/ray/data/_internal/planner/random_shuffle.py index b698a3ecc91b..d94b2e2f2e63 100644 --- a/python/ray/data/_internal/planner/random_shuffle.py +++ b/python/ray/data/_internal/planner/random_shuffle.py @@ -47,14 +47,9 @@ def fn( upstream_map_fn = None nonlocal ray_remote_args if map_transformer: - # NOTE(swang): We override the target block size with infinity, to - # prevent the upstream map from slicing its output into smaller - # blocks. Since the shuffle task will just fuse these back - # together, the extra slicing and re-fusing can add high memory - # overhead. This can be removed once dynamic block splitting is - # supported for all-to-all ops. - # See https://github.com/ray-project/ray/issues/40518. - map_transformer.override_target_max_block_size(float("inf")) + # NOTE: We override target max-block sizing of the previous + # transformation to avoid unnecessary block shaping (if any) + map_transformer.override_target_max_block_size(None) def upstream_map_fn(blocks): return map_transformer.apply_transform(blocks, ctx) @@ -64,7 +59,9 @@ def upstream_map_fn(blocks): ray_remote_args = ctx.upstream_map_ray_remote_args shuffle_spec = ShuffleTaskSpec( - ctx.target_max_block_size_override, + target_shuffle_max_block_size=( + ctx.target_max_block_size_override or data_context.target_max_block_size + ), random_shuffle=True, random_seed=seed, upstream_map_fn=upstream_map_fn, diff --git a/python/ray/data/_internal/planner/repartition.py b/python/ray/data/_internal/planner/repartition.py index 5a119f540c83..37bb14c6f1ad 100644 --- a/python/ray/data/_internal/planner/repartition.py +++ b/python/ray/data/_internal/planner/repartition.py @@ -41,20 +41,17 @@ def shuffle_repartition_fn( map_transformer: Optional["MapTransformer"] = ctx.upstream_map_transformer upstream_map_fn = None if map_transformer: - # NOTE(swang): We override the target block size with infinity, to - # prevent the upstream map from slicing its output into smaller - # blocks. Since the shuffle task will just fuse these back - # together, the extra slicing and re-fusing can add high memory - # overhead. This can be removed once dynamic block splitting is - # supported for all-to-all ops. - # See https://github.com/ray-project/ray/issues/40518. - map_transformer.override_target_max_block_size(float("inf")) + # NOTE: We override target max-block sizing of the previous + # transformation to avoid unnecessary block shaping (if any) + map_transformer.override_target_max_block_size(None) def upstream_map_fn(blocks): return map_transformer.apply_transform(blocks, ctx) shuffle_spec = ShuffleTaskSpec( - ctx.target_max_block_size_override, + target_shuffle_max_block_size=( + ctx.target_max_block_size_override or data_context.target_max_block_size + ), random_shuffle=False, upstream_map_fn=upstream_map_fn, ) @@ -78,7 +75,10 @@ def split_repartition_fn( ctx: TaskContext, ) -> AllToAllTransformFnResult: shuffle_spec = ShuffleTaskSpec( - ctx.target_max_block_size_override, random_shuffle=False + target_shuffle_max_block_size=( + ctx.target_max_block_size_override or data_context.target_max_block_size + ), + random_shuffle=False, ) scheduler = SplitRepartitionTaskScheduler(shuffle_spec) return scheduler.execute(refs, num_outputs, ctx) diff --git a/python/ray/data/_internal/table_block.py b/python/ray/data/_internal/table_block.py index 81c831509c4e..040290af0a10 100644 --- a/python/ray/data/_internal/table_block.py +++ b/python/ray/data/_internal/table_block.py @@ -115,7 +115,7 @@ def _table_from_pydict(columns: Dict[str, List[Any]]) -> Block: raise NotImplementedError @staticmethod - def _concat_tables(tables: List[Block]) -> Block: + def _combine_tables(tables: List[Block]) -> Block: raise NotImplementedError @staticmethod @@ -140,10 +140,10 @@ def build(self) -> Block: tables.extend(self._tables) - if len(tables) > 0: - return self._concat_tables(tables) - else: + if len(tables) == 0: return self._empty_table() + else: + return self._combine_tables(tables) def num_rows(self) -> int: return self._num_rows diff --git a/python/ray/data/block.py b/python/ray/data/block.py index 8142ebe36a43..e6f939ed99a4 100644 --- a/python/ray/data/block.py +++ b/python/ray/data/block.py @@ -72,6 +72,14 @@ class BlockType(Enum): PANDAS = "pandas" +@DeveloperAPI +class BatchFormat(str, Enum): + # NOTE: This is to maintain compatibility w/ existing APIs + ARROW = "pyarrow" + PANDAS = "pandas" + NUMPY = "numpy" + + # User-facing data batch type. This is the data type for data that is supplied to and # returned from batch UDFs. DataBatch = Union["pyarrow.Table", "pandas.DataFrame", Dict[str, np.ndarray]] diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 533b393c0838..c907010ac9d9 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -594,7 +594,8 @@ def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: batch_format: If ``"default"`` or ``"numpy"``, batches are ``Dict[str, numpy.ndarray]``. If ``"pandas"``, batches are ``pandas.DataFrame``. If ``"pyarrow"``, batches are - ``pyarrow.Table``. + ``pyarrow.Table``. If ``batch_format`` is set to ``None`` input + block format will be used. Note that zero_copy_batch: Whether ``fn`` should be provided zero-copy, read-only batches. If this is ``True`` and no copy is required for the ``batch_format`` conversion, the batch is a zero-copy, read-only @@ -660,7 +661,7 @@ def __call__(self, batch: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: task, until their total size is equal to or greater than the given ``batch_size``. If ``batch_size`` is not set, the bundling will not be performed. Each task - will receive only one input block. + will receive entire input block as a batch. .. seealso:: @@ -1819,6 +1820,7 @@ def random_sample(batch: DataBatch, seed: Optional[int]): random_sample, fn_args=[seed], batch_format=None, + batch_size=None, ) @ConsumptionAPI diff --git a/python/ray/data/tests/test_backpressure_policies.py b/python/ray/data/tests/test_backpressure_policies.py index 4ffc67672baf..9abdccff8afd 100644 --- a/python/ray/data/tests/test_backpressure_policies.py +++ b/python/ray/data/tests/test_backpressure_policies.py @@ -45,13 +45,11 @@ def test_basic(self): map_transformer=MagicMock(), data_context=DataContext.get_current(), input_op=input_op, - target_max_block_size=None, ) map_op = TaskPoolMapOperator( map_transformer=MagicMock(), data_context=DataContext.get_current(), input_op=map_op_no_concurrency, - target_max_block_size=None, concurrency=concurrency, ) map_op.metrics.num_tasks_running = 0 diff --git a/python/ray/data/tests/test_block_sizing.py b/python/ray/data/tests/test_block_sizing.py index 7470a804a92e..9f67d649c810 100644 --- a/python/ray/data/tests/test_block_sizing.py +++ b/python/ray/data/tests/test_block_sizing.py @@ -275,22 +275,20 @@ def test_target_max_block_size_infinite_or_default_disables_splitting_globally( ray.init(num_cpus=2) # Create a large dataset that would normally trigger block splitting - large_data_size = 10_000_000 # 10MB worth of data + N = 1_000_000 # ~8MB worth of data # First, test with normal target_max_block_size (should split into multiple blocks) ctx = DataContext.get_current() - ctx.target_max_block_size = 1_000_000 # 1MB - much smaller than data + ctx.target_max_block_size = 1_000_000 # ~1MB - ds_with_limit = ray.data.range(large_data_size, override_num_blocks=1).materialize() + ds_with_limit = ray.data.range(N, override_num_blocks=1).materialize() blocks_with_limit = ds_with_limit._plan.initial_num_blocks() # Now test with target_max_block_size = None (should not split) ctx.target_max_block_size = None # Disable block size limit ds_unlimited = ( - ray.data.range(large_data_size, override_num_blocks=1) - .map(lambda x: x) - .materialize() + ray.data.range(N, override_num_blocks=1).map(lambda x: x).materialize() ) blocks_unlimited = ds_unlimited._plan.initial_num_blocks() diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index e01860c771ed..1b8c91474c82 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -106,7 +106,6 @@ def test_read_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, MapOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], InputDataBuffer) - assert physical_op.actual_target_max_block_size == ctx.target_max_block_size # Check that the linked logical operator is the same the input op. assert physical_op._logical_operators == [op] assert physical_op.input_dependencies[0]._logical_operators == [op] @@ -144,10 +143,6 @@ def test_split_blocks_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, MapOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], InputDataBuffer) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) assert physical_op._additional_split_factor == 10 # Test that split blocks prevents fusion. @@ -315,10 +310,6 @@ def test_filter_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, MapOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) def test_filter_e2e(ray_start_regular_shared_2_cpus): @@ -391,10 +382,6 @@ def test_flat_map(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, MapOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) def test_flat_map_e2e(ray_start_regular_shared_2_cpus): @@ -456,10 +443,6 @@ def test_random_shuffle_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, AllToAllOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) # Check that the linked logical operator is the same the input op. assert physical_op._logical_operators == [op] @@ -492,16 +475,6 @@ def test_repartition_operator(ray_start_regular_shared_2_cpus, shuffle): assert isinstance(physical_op, AllToAllOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - if shuffle: - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) - else: - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) # Check that the linked logical operator is the same the input op. assert physical_op._logical_operators == [op] @@ -602,10 +575,6 @@ def test_sort_operator( assert isinstance(physical_op, AllToAllOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) def test_sort_e2e(ray_start_regular_shared_2_cpus, configure_shuffle_method, tmp_path): @@ -742,10 +711,6 @@ def test_aggregate_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, AllToAllOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) # Check that the linked logical operator is the same the input op. assert physical_op._logical_operators == [op] @@ -811,11 +776,6 @@ def test_zip_operator(ray_start_regular_shared_2_cpus): assert isinstance(physical_op.input_dependencies[0], MapOperator) assert isinstance(physical_op.input_dependencies[1], MapOperator) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) - # Check that the linked logical operator is the same the input op. assert physical_op._logical_operators == [op] diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 05e311aa4c5e..4ab1cfeb6c1f 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -26,9 +26,6 @@ from ray.data._internal.arrow_ops.transform_pyarrow import ( MIN_PYARROW_VERSION_TYPE_PROMOTION, ) -from ray.data._internal.execution.interfaces.ref_bundle import ( - _ref_bundles_iterator_to_block_refs_list, -) from ray.data._internal.planner.plan_udf_map_op import ( _generate_transform_fn_for_async_map, _MapActorContext, @@ -1523,31 +1520,6 @@ def test_map_batches_combine_empty_blocks( assert ds1.take_all() == ds2.take_all() -def test_map_batches_preserves_empty_block_format( - ray_start_regular_shared, target_max_block_size_infinite_or_default -): - """Tests that the block format for empty blocks are not modified.""" - - def empty_pandas(batch): - return pd.DataFrame({"x": []}) - - df = pd.DataFrame({"x": [1, 2, 3]}) - - # First map_batches creates the empty Pandas block. - # Applying subsequent map_batches should not change the type of the empty block. - ds = ( - ray.data.from_pandas(df) - .map_batches(empty_pandas) - .map_batches(lambda x: x, batch_size=None) - ) - - bundles = ds.iter_internal_ref_bundles() - block_refs = _ref_bundles_iterator_to_block_refs_list(bundles) - - assert len(block_refs) == 1 - assert type(ray.get(block_refs[0])) is pd.DataFrame - - def test_map_with_objects_and_tensors( ray_start_regular_shared, target_max_block_size_infinite_or_default ): diff --git a/python/ray/data/tests/test_operator_fusion.py b/python/ray/data/tests/test_operator_fusion.py index 224eebf041e2..31305c551646 100644 --- a/python/ray/data/tests/test_operator_fusion.py +++ b/python/ray/data/tests/test_operator_fusion.py @@ -10,8 +10,6 @@ from ray.data._internal.execution.operators.map_transformer import ( BatchMapTransformFn, BlockMapTransformFn, - BlocksToBatchesMapTransformFn, - BuildOutputBlocksMapTransformFn, ) from ray.data._internal.logical.interfaces import LogicalPlan from ray.data._internal.logical.operators.input_data_operator import InputData @@ -56,10 +54,6 @@ def test_read_map_batches_operator_fusion(ray_start_regular_shared_2_cpus): input = physical_op.input_dependencies[0] assert isinstance(input, InputDataBuffer) assert physical_op in input.output_dependencies, input.output_dependencies - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) assert physical_op._logical_operators == [read_op, op] @@ -86,10 +80,6 @@ def test_read_map_chain_operator_fusion(ray_start_regular_shared_2_cpus): assert isinstance(physical_op, MapOperator) assert len(physical_op.input_dependencies) == 1 assert isinstance(physical_op.input_dependencies[0], InputDataBuffer) - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) assert physical_op._logical_operators == [read_op, map1, map2, map3, map4] @@ -289,11 +279,6 @@ def test_read_with_map_batches_fused_successfully( # # Target min-rows requirement is not set assert physical_op._block_ref_bundler._min_rows_per_bundle is None - assert ( - physical_op.actual_target_max_block_size - == DataContext.get_current().target_max_block_size - ) - @pytest.mark.parametrize( "input_op,fused", @@ -380,8 +365,6 @@ def test_map_batches_batch_size_fusion( assert physical_op._block_ref_bundler._min_rows_per_bundle == 5 assert len(physical_op.input_dependencies) == 1 - assert physical_op.actual_target_max_block_size == context.target_max_block_size - @pytest.mark.parametrize("upstream_batch_size", [None, 1, 2]) @pytest.mark.parametrize("downstream_batch_size", [None, 1, 2]) @@ -724,9 +707,7 @@ def test_zero_copy_fusion_eliminate_build_output_blocks( check_transform_fns( map_op, [ - BlocksToBatchesMapTransformFn, BatchMapTransformFn, - BuildOutputBlocksMapTransformFn, ], ) read_op = map_op.input_dependencies[0] @@ -734,7 +715,6 @@ def test_zero_copy_fusion_eliminate_build_output_blocks( read_op, [ BlockMapTransformFn, - BuildOutputBlocksMapTransformFn, ], ) @@ -747,8 +727,6 @@ def test_zero_copy_fusion_eliminate_build_output_blocks( fused_op, [ BlockMapTransformFn, - BlocksToBatchesMapTransformFn, BatchMapTransformFn, - BuildOutputBlocksMapTransformFn, ], ) diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index 8ef0f2267386..4b0720edd551 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -2,7 +2,7 @@ import gc import random import time -from typing import Any, Iterable, List +from typing import Any, Callable, Iterable, List, Optional from unittest.mock import MagicMock import numpy as np @@ -32,13 +32,16 @@ _BlockRefBundler, ) from ray.data._internal.execution.operators.map_transformer import ( - create_map_transformer_from_block_fn, + BlockMapTransformFn, + MapTransformCallable, + MapTransformer, ) from ray.data._internal.execution.operators.output_splitter import OutputSplitter from ray.data._internal.execution.operators.task_pool_map_operator import ( TaskPoolMapOperator, ) from ray.data._internal.execution.util import make_ref_bundles +from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.stats import Timer from ray.data.block import Block, BlockAccessor from ray.data.context import DataContext @@ -57,6 +60,28 @@ def _mul2_transform(block_iter: Iterable[Block], ctx) -> Iterable[Block]: yield pd.DataFrame({"id": [b * 2 for b in block["id"]]}) +def create_map_transformer_from_block_fn( + block_fn: MapTransformCallable[Block, Block], + init_fn: Optional[Callable[[], None]] = None, + output_block_size_option: Optional[OutputBlockSizeOption] = None, + disable_block_shaping: bool = False, +): + """Create a MapTransformer from a single block-based transform function. + + This method should only be used for testing and legacy compatibility. + """ + return MapTransformer( + [ + BlockMapTransformFn( + block_fn, + output_block_size_option=output_block_size_option, + disable_block_shaping=disable_block_shaping, + ), + ], + init_fn=init_fn, + ) + + _mul2_map_data_prcessor = create_map_transformer_from_block_fn(_mul2_transform) @@ -447,8 +472,15 @@ def _check_batch(block_iter: Iterable[Block], ctx) -> Iterable[Block]: @pytest.mark.parametrize("use_actors", [False, True]) @pytest.mark.parametrize("preserve_order", [False, True]) +@pytest.mark.parametrize( + "target_max_block_size,num_expected_blocks", [(1, 10), (2**20, 1), (None, 1)] +) def test_map_operator_output_unbundling( - ray_start_regular_shared, use_actors, preserve_order + ray_start_regular_shared, + use_actors, + preserve_order, + target_max_block_size, + num_expected_blocks, ): # Tests that the MapOperator's output queue unbundles the bundles returned from # tasks; this facilitates features such as dynamic block splitting. @@ -461,8 +493,16 @@ def noop(block_iter: Iterable[Block], ctx) -> Iterable[Block]: DataContext.get_current(), make_ref_bundles([[i] for i in range(10)]) ) compute_strategy = ActorPoolStrategy() if use_actors else TaskPoolStrategy() + + transformer = create_map_transformer_from_block_fn( + noop, + output_block_size_option=OutputBlockSizeOption.of( + target_max_block_size=target_max_block_size, + ), + ) + op = MapOperator.create( - create_map_transformer_from_block_fn(noop), + transformer, input_op=input_op, data_context=DataContext.get_current(), name="TestMapper", @@ -487,7 +527,7 @@ def noop(block_iter: Iterable[Block], ctx) -> Iterable[Block]: outputs = [] while op.has_next(): outputs.append(op.get_next()) - assert len(outputs) == 10 + assert len(outputs) == num_expected_blocks assert op.completed() @@ -981,7 +1021,12 @@ def map_fn(block_iter: Iterable[Block], ctx) -> Iterable[Block]: yield pd.DataFrame({"id": [i]}) op = MapOperator.create( - create_map_transformer_from_block_fn(map_fn), + create_map_transformer_from_block_fn( + map_fn, + output_block_size_option=OutputBlockSizeOption.of( + target_max_block_size=1, + ), + ), input_op=input_op, data_context=DataContext.get_current(), name="TestEstimatedNumBlocks", @@ -1036,7 +1081,21 @@ def map_fn(block_iter: Iterable[Block], ctx) -> Iterable[Block]: assert metrics.obj_store_mem_freed == metrics.bytes_task_inputs_processed, i -def test_map_estimated_num_output_bundles(): +@pytest.mark.parametrize( + "target_max_block_size, expected_num_outputs_per_task", + [ + # 5 blocks (8b each) // 1 = 5 outputs / task + [1, 5], + # 5 blocks (8b each) // 1024 = 1 output / task + [1024, 1], + # All outputs combined in a single output + [None, 1], + ], +) +def test_map_estimated_num_output_bundles( + target_max_block_size, + expected_num_outputs_per_task, +): # Test map operator estimation input_op = InputDataBuffer( DataContext.get_current(), make_ref_bundles([[i] for i in range(100)]) @@ -1047,8 +1106,17 @@ def yield_five(block_iter: Iterable[Block], ctx) -> Iterable[Block]: yield pd.DataFrame({"id": [i]}) min_rows_per_bundle = 10 + # 100 inputs -> 100 / 10 = 10 tasks + num_tasks = 10 + op = MapOperator.create( - create_map_transformer_from_block_fn(yield_five), + create_map_transformer_from_block_fn( + yield_five, + # Limit single block to hold no more than 1 byte + output_block_size_option=OutputBlockSizeOption.of( + target_max_block_size=target_max_block_size, + ), + ), input_op=input_op, data_context=DataContext.get_current(), name="TestEstimatedNumBlocks", @@ -1061,26 +1129,35 @@ def yield_five(block_iter: Iterable[Block], ctx) -> Iterable[Block]: if op.metrics.num_inputs_received % min_rows_per_bundle == 0: # enough inputs for a task bundle run_op_tasks_sync(op) - assert op._estimated_num_output_bundles == 50 + assert ( + op._estimated_num_output_bundles + == expected_num_outputs_per_task * num_tasks + ) op.all_inputs_done() - # 100 inputs -> 100 / 10 = 10 tasks -> 10 * 5 = 50 output blocks - assert op._estimated_num_output_bundles == 50 + assert op._estimated_num_output_bundles == expected_num_outputs_per_task * num_tasks def test_map_estimated_blocks_split(): # Test read output splitting - def yield_five(block_iter: Iterable[Block], ctx) -> Iterable[Block]: - for i in range(5): - yield pd.DataFrame({"id": [i]}) min_rows_per_bundle = 10 input_op = InputDataBuffer( DataContext.get_current(), make_ref_bundles([[i] for i in range(100)]) ) + + def yield_five(block_iter: Iterable[Block], ctx) -> Iterable[Block]: + for i in range(5): + yield pd.DataFrame({"id": [i]}) + op = MapOperator.create( - create_map_transformer_from_block_fn(yield_five), + create_map_transformer_from_block_fn( + yield_five, + # NOTE: Disable output block-shaping to keep blocks from being + # combined + disable_block_shaping=True, + ), input_op=input_op, data_context=DataContext.get_current(), name="TestEstimatedNumBlocksSplit", diff --git a/python/ray/data/tests/test_splitblocks.py b/python/ray/data/tests/test_splitblocks.py index dc16d5c2b4e6..733d1aafc02e 100644 --- a/python/ray/data/tests/test_splitblocks.py +++ b/python/ray/data/tests/test_splitblocks.py @@ -2,7 +2,7 @@ import pytest import ray -from ray.data._internal.execution.operators.map_transformer import _splitrange +from ray.data._internal.execution.operators.map_operator import _splitrange from ray.data.tests.conftest import * # noqa from ray.data.tests.conftest import ( CoreExecutionMetrics, diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index 38344b4f4134..5c6b8b26b2cb 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -30,7 +30,8 @@ from ray.data._internal.execution.operators.limit_operator import LimitOperator from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.execution.operators.map_transformer import ( - create_map_transformer_from_block_fn, + BlockMapTransformFn, + MapTransformer, ) from ray.data._internal.execution.resource_manager import ResourceManager from ray.data._internal.execution.streaming_executor import ( @@ -85,7 +86,7 @@ def map_fn(block_iter): for block in block_iter: yield block_fn(block) - return create_map_transformer_from_block_fn(map_fn) + return MapTransformer([BlockMapTransformFn(map_fn)]) def make_ref_bundle(x): diff --git a/python/ray/data/tests/test_streaming_integration.py b/python/ray/data/tests/test_streaming_integration.py index 4b9a120643d0..c494f0f7f77d 100644 --- a/python/ray/data/tests/test_streaming_integration.py +++ b/python/ray/data/tests/test_streaming_integration.py @@ -18,7 +18,8 @@ from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.execution.operators.map_transformer import ( - create_map_transformer_from_block_fn, + BlockMapTransformFn, + MapTransformer, ) from ray.data._internal.execution.operators.output_splitter import OutputSplitter from ray.data._internal.execution.streaming_executor import StreamingExecutor @@ -33,7 +34,7 @@ def map_fn(block_iter, _): for block in block_iter: yield pd.DataFrame({"id": block_fn(block["id"])}) - return create_map_transformer_from_block_fn(map_fn) + return MapTransformer([BlockMapTransformFn(map_fn)]) def ref_bundles_to_list(bundles: List[RefBundle]) -> List[List[Any]]: diff --git a/python/ray/data/tests/test_strict_mode.py b/python/ray/data/tests/test_strict_mode.py index cd7045daccb6..10c11c8bfd9e 100644 --- a/python/ray/data/tests/test_strict_mode.py +++ b/python/ray/data/tests/test_strict_mode.py @@ -1,9 +1,11 @@ from collections import UserDict import numpy as np +import pandas as pd import pytest import ray +from ray.air.util.tensor_extensions.pandas import TensorDtype from ray.data.context import DataContext from ray.data.tests.conftest import * # noqa from ray.tests.conftest import * # noqa @@ -234,9 +236,16 @@ def test_strict_schema(ray_start_regular_shared): assert schema.types == [expected_arrow_ext_type] - schema = ds.map_batches(lambda x: x, batch_format="pandas").schema() + def _id(batch): + assert isinstance(batch, pd.DataFrame) + return batch + + schema = ds.map_batches(_id, batch_format="pandas").schema() + assert isinstance(schema.base_schema, PandasBlockSchema) assert schema.names == ["data"] + assert schema.base_schema.types == [TensorDtype(shape=(10,), dtype=pa.float64())] + # NOTE: Schema by default returns Arrow types assert schema.types == [expected_arrow_ext_type] diff --git a/python/ray/data/tests/test_task_pool_map_operator.py b/python/ray/data/tests/test_task_pool_map_operator.py index 36fde136f835..fa1e41452930 100644 --- a/python/ray/data/tests/test_task_pool_map_operator.py +++ b/python/ray/data/tests/test_task_pool_map_operator.py @@ -16,7 +16,6 @@ def test_min_max_resource_requirements(ray_start_regular_shared, restore_data_co map_transformer=MagicMock(), input_op=InputDataBuffer(data_context, input_data=MagicMock()), data_context=data_context, - target_max_block_size=None, ray_remote_args={"num_cpus": 1}, ) op._metrics = MagicMock(obj_store_mem_max_pending_output_per_task=3) From 95644bd74212b02141f835cecdea26340e094139 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 19 Sep 2025 10:32:11 -0700 Subject: [PATCH 1299/1566] [data] join unjoinable non keys (#56487) ## Why are these changes needed? Currently, joining tables with columns containing lists, structs, maps, extension types will fail natively in pyarrow. Therefore, we must handle them ourselves. The strategy is to 1. Find and drop all non-joinable columns 2. Replace the left and right tables with an index column 3. Join the table (any join_type) 4. Use the joined table's index_col (from 2) to "take" the indices of the original table. 5. Combine the non-joinable columns from 4) with joined in 3) ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../ray/air/util/object_extensions/arrow.py | 4 + .../ray/air/util/tensor_extensions/arrow.py | 9 + python/ray/air/util/transform_pyarrow.py | 6 +- python/ray/data/_internal/arrow_block.py | 8 + .../_internal/arrow_ops/transform_pyarrow.py | 17 +- .../_internal/execution/operators/join.py | 198 +++++++++++++++- python/ray/data/_internal/table_block.py | 12 + python/ray/data/tests/test_join.py | 216 ++++++++++++++++++ 8 files changed, 454 insertions(+), 16 deletions(-) diff --git a/python/ray/air/util/object_extensions/arrow.py b/python/ray/air/util/object_extensions/arrow.py index 30c9743e3261..9c9991e6db64 100644 --- a/python/ray/air/util/object_extensions/arrow.py +++ b/python/ray/air/util/object_extensions/arrow.py @@ -80,6 +80,10 @@ class ArrowPythonObjectScalar(pa.ExtensionScalar): """Scalar class for ArrowPythonObjectType""" def as_py(self, **kwargs) -> typing.Any: + # Handle None/null values + if self.value is None: + return None + if not isinstance(self.value, pa.LargeBinaryScalar): raise RuntimeError( f"{type(self.value)} is not the expected LargeBinaryScalar" diff --git a/python/ray/air/util/tensor_extensions/arrow.py b/python/ray/air/util/tensor_extensions/arrow.py index 712b2af080c0..d3b841fd96dc 100644 --- a/python/ray/air/util/tensor_extensions/arrow.py +++ b/python/ray/air/util/tensor_extensions/arrow.py @@ -513,6 +513,10 @@ def _extension_scalar_to_ndarray(self, scalar: "pa.ExtensionScalar") -> np.ndarr """ Convert an ExtensionScalar to a tensor element. """ + # Handle None/null values + if scalar.value is None: + return None + raw_values = scalar.value.values shape = scalar.type.shape value_type = raw_values.type @@ -1119,6 +1123,11 @@ def _extension_scalar_to_ndarray(self, scalar: "pa.ExtensionScalar") -> np.ndarr """ Convert an ExtensionScalar to a tensor element. """ + + # Handle None/null values + if scalar.value is None: + return None + data = scalar.value.get("data") raw_values = data.values diff --git a/python/ray/air/util/transform_pyarrow.py b/python/ray/air/util/transform_pyarrow.py index ad82020d9d3e..e8337ab0f731 100644 --- a/python/ray/air/util/transform_pyarrow.py +++ b/python/ray/air/util/transform_pyarrow.py @@ -4,11 +4,11 @@ pyarrow = None -def _is_column_extension_type(ca: "pyarrow.ChunkedArray") -> bool: +def _is_pa_extension_type(pa_type: "pyarrow.lib.DataType") -> bool: """Whether the provided Arrow Table column is an extension array, using an Arrow extension type. """ - return isinstance(ca.type, pyarrow.ExtensionType) + return isinstance(pa_type, pyarrow.ExtensionType) def _concatenate_extension_column( @@ -29,7 +29,7 @@ def _concatenate_extension_column( get_arrow_extension_tensor_types, ) - if not _is_column_extension_type(ca): + if not _is_pa_extension_type(ca.type): raise ValueError("Chunked array isn't an extension array: {ca}") tensor_extension_types = get_arrow_extension_tensor_types() diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 5809880e2b8f..21866f976b07 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -383,6 +383,14 @@ def select(self, columns: List[str]) -> "pyarrow.Table": def rename_columns(self, columns_rename: Dict[str, str]) -> "pyarrow.Table": return self._table.rename_columns(columns_rename) + def hstack(self, other_block: "pyarrow.Table") -> "pyarrow.Table": + + result_table = self._table + for name, column in zip(other_block.column_names, other_block.columns): + result_table = result_table.append_column(name, column) + + return result_table + def _sample(self, n_samples: int, sort_key: "SortKey") -> "pyarrow.Table": indices = random.sample(range(self._table.num_rows), n_samples) table = self._table.select(sort_key.get_columns()) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index d52f97eb9d41..662a86312fc4 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -22,6 +22,7 @@ # Minimum version support {String,List,Binary}View types MIN_PYARROW_VERSION_VIEW_TYPES = parse_version("16.0.0") +MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES = parse_version("12.0.0") MIN_PYARROW_VERSION_TYPE_PROMOTION = parse_version("14.0.0") @@ -140,13 +141,13 @@ def take_table( """ from ray.air.util.transform_pyarrow import ( _concatenate_extension_column, - _is_column_extension_type, + _is_pa_extension_type, ) - if any(_is_column_extension_type(col) for col in table.columns): + if any(_is_pa_extension_type(col.type) for col in table.columns): new_cols = [] for col in table.columns: - if _is_column_extension_type(col) and col.num_chunks > 1: + if _is_pa_extension_type(col.type) and col.num_chunks > 1: # .take() will concatenate internally, which currently breaks for # extension arrays. col = _concatenate_extension_column(col) @@ -871,14 +872,14 @@ def combine_chunked_array( from ray.air.util.transform_pyarrow import ( _concatenate_extension_column, - _is_column_extension_type, + _is_pa_extension_type, ) assert isinstance( array, pa.ChunkedArray ), f"Expected `ChunkedArray`, got {type(array)}" - if _is_column_extension_type(array): + if _is_pa_extension_type(array.type): # Arrow `ExtensionArray`s can't be concatenated via `combine_chunks`, # hence require manual concatenation return _concatenate_extension_column(array, ensure_copy) @@ -952,10 +953,10 @@ def _try_combine_chunks_safe( import pyarrow as pa - from ray.air.util.transform_pyarrow import _is_column_extension_type + from ray.air.util.transform_pyarrow import _is_pa_extension_type - assert not _is_column_extension_type( - array + assert not _is_pa_extension_type( + array.type ), f"Arrow `ExtensionType`s are not accepted (got {array.type})" # It's safe to combine provided `ChunkedArray` in either of 2 cases: diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 4df575480fb0..90c5fd808f15 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -1,9 +1,15 @@ import logging import math -from typing import Any, Dict, List, Optional, Tuple, Type +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Type +from ray._private.arrow_utils import get_pyarrow_version +from ray.air.util.transform_pyarrow import _is_pa_extension_type from ray.data import DataContext -from ray.data._internal.arrow_block import ArrowBlockBuilder +from ray.data._internal.arrow_block import ArrowBlockAccessor, ArrowBlockBuilder +from ray.data._internal.arrow_ops.transform_pyarrow import ( + MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES, + MIN_PYARROW_VERSION_VIEW_TYPES, +) from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.operators.hash_shuffle import ( HashShufflingOperatorBase, @@ -13,6 +19,9 @@ from ray.data._internal.util import GiB from ray.data.block import Block +if TYPE_CHECKING: + import pyarrow as pa + _JOIN_TYPE_TO_ARROW_JOIN_VERB_MAP = { JoinType.INNER: "inner", JoinType.LEFT_OUTER: "left outer", @@ -115,16 +124,66 @@ def finalize(self, partition_id: int) -> Block: ) arrow_join_type = _JOIN_TYPE_TO_ARROW_JOIN_VERB_MAP[self._join_type] - joined = left_seq_partition.join( - right_seq_partition, + + # Get supported columns + supported_l, unsupported_l = _split_unsupported_columns(left_seq_partition) + supported_r, unsupported_r = _split_unsupported_columns(right_seq_partition) + + # Handle joins on unsupported columns + conflicting_columns: Set[str] = set(unsupported_l.column_names) & set(left_on) + if conflicting_columns: + raise ValueError( + f"Cannot join on columns with unjoinable types. " + f"Left join key columns {conflicting_columns} have unjoinable types " + f"(map, union, list, struct, etc.) which cannot be used for join operations." + ) + + conflicting_columns: Set[str] = set(unsupported_r.column_names) & set(right_on) + if conflicting_columns: + raise ValueError( + f"Cannot join on columns with unjoinable types. " + f"Right join key columns {conflicting_columns} have unjoinable types " + f"(map, union, list, struct, etc.) which cannot be used for join operations." + ) + + # Index if we have unsupported columns + should_index_l = self._should_index_side("left", supported_l, unsupported_l) + should_index_r = self._should_index_side("right", supported_r, unsupported_r) + + # Add index columns for back-referencing if we have unsupported columns + # TODO: what are the chances of a collision with the index column? + index_name_l = "__ray_data_index_level_left__" + if should_index_l: + supported_l = _append_index_column(table=supported_l, col_name=index_name_l) + index_name_r = "__ray_data_index_level_right__" + if should_index_r: + supported_r = _append_index_column(table=supported_r, col_name=index_name_r) + + # Perform the join on supported columns + supported = supported_l.join( + supported_r, join_type=arrow_join_type, keys=left_on, right_keys=right_on, left_suffix=self._left_columns_suffix, right_suffix=self._right_columns_suffix, ) + # Add back unsupported columns (join type logic is in should_index_* variables) + if should_index_l: + supported = _add_back_unsupported_columns( + joined_table=supported, + unsupported_table=unsupported_l, + index_col_name=index_name_l, + ) - return joined + if should_index_r: + supported = _add_back_unsupported_columns( + joined_table=supported, + unsupported_table=unsupported_r, + index_col_name=index_name_r, + ) + + return supported def clear(self, partition_id: int): self._left_input_seq_partition_builders.pop(partition_id) @@ -141,6 +200,135 @@ def _get_partition_builder(self, *, input_seq_id: int, partition_id: int): ) return partition_builder + def _get_index_col_name(self, index: int) -> str: + return f"__index_level_{index}__" + + def _should_index_side( + self, side: str, supported_table: "pa.Table", unsupported_table: "pa.Table" + ) -> bool: + """ + Determine whether to create an index column for a given side of the join. + + A column is "supported" if it is "joinable", and "unsupported" otherwise. + A supported_table is a table with only "supported" columns. Index columns are + needed when we have both supported and unsupported columns in a table, and + that table's columns will appear in the final result. + + Args: + side: "left" or "right" to indicate which side of the join + supported_table: Table containing ONLY joinable columns + unsupported_table: Table containing ONLY unjoinable columns + + Returns: + True if an index column should be created for this side + """ + # Must have both supported and unsupported columns to need indexing. + # We cannot rely on row_count because it can return a non-zero row count + # for an empty-schema. + if not supported_table.schema or not unsupported_table.schema: + return False + + # For semi/anti joins, only index the side that appears in the result + if side == "left": + # Left side appears in result for all joins except right_semi/right_anti + return self._join_type not in [JoinType.RIGHT_SEMI, JoinType.RIGHT_ANTI] + else: # side == "right" + # Right side appears in result for all joins except left_semi/left_anti + return self._join_type not in [JoinType.LEFT_SEMI, JoinType.LEFT_ANTI] + + +def _split_unsupported_columns(table: "pa.Table") -> Tuple["pa.Table", "pa.Table"]: + """ + Split a PyArrow table into two tables based on column joinability. + + Separates columns into supported types and unsupported types that cannot be + directly joined on but should be preserved in results. + + Args: + table: Input PyArrow table to split + + Returns: + Tuple of (supported_table, unsupported_table) where: + - supported_table contains columns with primitive/joinable types + - unsupported_table contains columns with complex/unjoinable types + """ + supported, unsupported = [], [] + for idx in range(len(table.columns)): + column: "pa.ChunkedArray" = table.column(idx) + + col_type = column.type + if _is_pa_extension_type(column.type): + col_type = column.type.storage_type + + if _is_pa_join_not_supported(col_type): + unsupported.append(idx) + else: + supported.append(idx) + + return (table.select(supported), table.select(unsupported)) + + +def _add_back_unsupported_columns( + joined_table: "pa.Table", + unsupported_table: "pa.Table", + index_col_name: str, +) -> "pa.Table": + # Extract the index column array and drop the column from the joined table + i = joined_table.schema.get_field_index(index_col_name) + indices = joined_table.column(i) + joined_table = joined_table.remove_column(i) + + # Project the unsupported columns using the indices and combine with joined table + projected = ArrowBlockAccessor(unsupported_table).take(indices) + return ArrowBlockAccessor(joined_table).hstack(projected) + + +def _append_index_column(table: "pa.Table", col_name: str) -> "pa.Table": + import numpy as np + import pyarrow as pa + + index_col = pa.array(np.arange(table.num_rows)) + return table.append_column(col_name, index_col) + + +def _is_pa_join_not_supported(type: "pa.DataType") -> bool: + """ + The latest pyarrow versions do not support joins where the + tables contain the following types below (lists, + structs, maps, unions, extension types, etc.) + + Args: + type: The input type of column. + + Returns: + True if the type cannot be present (non join-key) during joins. + False if the type can be present. + """ + import pyarrow as pa + + pyarrow_version = get_pyarrow_version() + is_v12 = pyarrow_version >= MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES + is_v16 = pyarrow_version >= MIN_PYARROW_VERSION_VIEW_TYPES + + return ( + pa.types.is_map(type) + or pa.types.is_union(type) + or pa.types.is_list(type) + or pa.types.is_struct(type) + or pa.types.is_null(type) + or pa.types.is_large_list(type) + or pa.types.is_fixed_size_list(type) + or (is_v12 and pa.types.is_run_end_encoded(type)) + or ( + is_v16 + and ( + pa.types.is_binary_view(type) + or pa.types.is_string_view(type) + or pa.types.is_list_view(type) + ) + ) + ) + class JoinOperator(HashShufflingOperatorBase): def __init__( diff --git a/python/ray/data/_internal/table_block.py b/python/ray/data/_internal/table_block.py index 040290af0a10..c9f616a01f82 100644 --- a/python/ray/data/_internal/table_block.py +++ b/python/ray/data/_internal/table_block.py @@ -591,3 +591,15 @@ def try_convert_block_type(cls, block: Block, block_type: BlockType): return BlockAccessor.for_block(block).to_pandas() else: return BlockAccessor.for_block(block).to_default() + + def hstack(self, other_block: Block) -> Block: + """Combine this table with another table horizontally (column-wise). + This will append the columns. + + Args: + other_block: The table to hstack side-by-side with. + + Returns: + A new table with columns from both tables combined. + """ + raise NotImplementedError diff --git a/python/ray/data/tests/test_join.py b/python/ray/data/tests/test_join.py index 95d44e905914..2973a0f05c40 100644 --- a/python/ray/data/tests/test_join.py +++ b/python/ray/data/tests/test_join.py @@ -1,10 +1,13 @@ from typing import Optional from unittest.mock import MagicMock +import numpy as np import pandas as pd import pytest +from packaging.version import parse as parse_version import ray +from ray._private.arrow_utils import get_pyarrow_version from ray.data import DataContext, Dataset from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.operators.join import JoinOperator @@ -566,6 +569,219 @@ def test_anti_join_multi_key( pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) +def test_join_on_unjoinable_keys_raises_error(ray_start_regular_shared_2_cpus): + """Test that joining ON unjoinable column types raises appropriate errors.""" + # Dataset with proper list column (unjoinable) + list_ds = ray.data.from_items( + [{"list_col": [[1, 2], [3, 4], [5, 6]], "data": [10, 20, 30]}] + ) + + # Simple joinable dataset + simple_ds = ray.data.from_items([{"id": [1, 2, 3], "value": ["a", "b", "c"]}]) + + # Test that joining ON list column raises ValueError + with pytest.raises(ValueError): + list_ds.join( + simple_ds, + join_type="inner", + on=("list_col",), + right_on=("id",), + num_partitions=1, + ).materialize() + + +# Helper functions to reduce test code bloat +def _assert_columns_match(result, expected_columns): + """Assert that result has the expected column schema.""" + actual_columns = set(result[0].keys()) + assert actual_columns == expected_columns + + +def _assert_list_values(result_by_id, expected_values): + """Assert list column values match expected values.""" + for row_id, expected_list in expected_values.items(): + assert result_by_id[row_id]["list_col"] == expected_list + + +def _assert_tensor_values(result_by_id, expected_values): + """Assert tensor column values match expected tensor data.""" + for row_id, expected_tensor in expected_values.items(): + assert np.array_equal(result_by_id[row_id]["tensor_col"], expected_tensor) + + +def _assert_none_values(result_by_id, none_checks): + """Assert that specified columns are None for specified row IDs.""" + for row_id, columns in none_checks.items(): + for column in columns: + assert result_by_id[row_id][column] is None + + +def _assert_scalar_values(result_by_id, expected_values): + """Assert scalar column values match expected values.""" + for row_id, column_values in expected_values.items(): + for column, expected_value in column_values.items(): + assert result_by_id[row_id][column] == expected_value + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("10.0.0"), + reason="""Joins use empty arrays with type coercion. This pyarrow + version does not support type coercion of extension types, which + are needed for tensors.""", +) +@pytest.mark.parametrize( + "join_type", + [ + "inner", + "left_outer", + "right_outer", + "full_outer", + "left_semi", + "right_semi", + "left_anti", + "right_anti", + ], +) +def test_join_with_unjoinable_non_key_columns( + ray_start_regular_shared_2_cpus, join_type +): + """Test that joins work correctly when non-key columns have unjoinable types.""" + # Left dataset with joinable key but unjoinable non-key columns + + # Create test data - centralized for clarity and maintainability + list_data = [ + [1, 2, 3], # list for id=0 + [4, 5, 6], # list for id=1 + [7, 8, 9], # list for id=2 + ] + + tensor_data = [ + np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32), # 2x2 tensor for id=0 + np.array([[5.0, 6.0], [7.0, 8.0]], dtype=np.float32), # 2x2 tensor for id=1 + np.array([[9.0, 10.0], [11.0, 12.0]], dtype=np.float32), # 2x2 tensor for id=2 + ] + + scalar_data = ["a", "b", "c"] # scalar data for id=0,1,2 + + left_ds = ray.data.from_items( + [ + { + "id": 0, + "list_col": list_data[0], + "tensor_col": tensor_data[0], + "data": scalar_data[0], + }, + { + "id": 1, + "list_col": list_data[1], + "tensor_col": tensor_data[1], + "data": scalar_data[1], + }, + { + "id": 2, + "list_col": list_data[2], + "tensor_col": tensor_data[2], + "data": scalar_data[2], + }, + ] + ) + + # Right dataset with joinable key and columns + # ids: 0, 1, 3 (so id=2 from left won't match, id=3 from right won't match) + right_ds = ray.data.from_items( + [ + {"id": 0, "value": "x", "score": 10}, + {"id": 1, "value": "y", "score": 20}, + {"id": 3, "value": "z", "score": 30}, + ] + ) + + # Verify the join worked and includes unjoinable columns + joined = left_ds.join(right_ds, join_type=join_type, on=("id",), num_partitions=2) + result = joined.take_all() + result_by_id = {row["id"]: row for row in result} + + # Basic validation - join should succeed with unjoinable non-key columns + if join_type == "inner": + # Should have 2 rows (id=0 and id=1 match) + assert len(result) == 2 + # Verify unjoinable columns are preserved + _assert_list_values(result_by_id, {i: list_data[i] for i in [0, 1]}) + _assert_tensor_values(result_by_id, {i: tensor_data[i] for i in [0, 1]}) + + elif join_type == "left_outer": + # Should have 3 rows (all from left: id=0, 1, 2) + assert len(result) == 3 + # All left unjoinable columns preserved + _assert_list_values(result_by_id, {i: list_data[i] for i in [0, 1, 2]}) + _assert_tensor_values(result_by_id, {i: tensor_data[i] for i in [0, 1, 2]}) + # Unmatched left row (id=2) should have None for right columns + _assert_none_values(result_by_id, {2: ["value"]}) + + elif join_type == "right_outer": + # Should have 3 rows (all from right: id=0, 1, 3) + assert len(result) == 3 + # Matched rows should have unjoinable columns from left + _assert_list_values(result_by_id, {i: list_data[i] for i in [0, 1]}) + _assert_tensor_values(result_by_id, {i: tensor_data[i] for i in [0, 1]}) + _assert_scalar_values(result_by_id, {3: {"value": "z"}}) + # Unmatched right row (id=3) should have None for left unjoinable columns + _assert_none_values(result_by_id, {3: ["list_col", "tensor_col"]}) + + elif join_type == "full_outer": + # Should have 4 rows (all from both sides: id=0, 1, 2, 3) + assert len(result) == 4 + # Matched rows (id=0, 1) should have data from both sides + _assert_list_values(result_by_id, {i: list_data[i] for i in [0, 1, 2]}) + _assert_tensor_values(result_by_id, {i: tensor_data[i] for i in [0, 1, 2]}) + _assert_scalar_values( + result_by_id, + { + 0: {"value": "x"}, + 1: {"value": "y"}, + 2: {"data": scalar_data[2]}, + 3: {"value": "z", "score": 30}, + }, + ) + # Unmatched rows should have None for columns from the other side + _assert_none_values( + result_by_id, {2: ["value", "score"], 3: ["list_col", "tensor_col", "data"]} + ) + + elif join_type == "left_semi": + # Should return left rows that have matches in right (id=0, 1) + assert len(result) == 2 + _assert_columns_match(result, {"id", "list_col", "tensor_col", "data"}) + _assert_list_values(result_by_id, {i: list_data[i] for i in [0, 1]}) + _assert_tensor_values(result_by_id, {i: tensor_data[i] for i in [0, 1]}) + + elif join_type == "left_anti": + # Should return left rows that DON'T have matches in right (id=2) + assert len(result) == 1 + _assert_columns_match(result, {"id", "list_col", "tensor_col", "data"}) + _assert_list_values(result_by_id, {2: list_data[2]}) + _assert_tensor_values(result_by_id, {2: tensor_data[2]}) + _assert_scalar_values(result_by_id, {2: {"data": scalar_data[2]}}) + + elif join_type == "right_semi": + # Should return right rows that have matches in left (id=0, 1) + assert len(result) == 2 + _assert_columns_match(result, {"id", "value", "score"}) + _assert_scalar_values(result_by_id, {0: {"value": "x"}, 1: {"value": "y"}}) + + elif join_type == "right_anti": + # Should return right rows that DON'T have matches in left (id=3) + assert len(result) == 1 + _assert_columns_match(result, {"id", "value", "score"}) + _assert_scalar_values(result_by_id, {3: {"value": "z", "score": 30}}) + + # For outer joins, ensure unjoinable columns are present + if join_type in ["inner", "left_outer", "right_outer", "full_outer"]: + _assert_columns_match( + result, {"id", "list_col", "tensor_col", "data", "value", "score"} + ) + + if __name__ == "__main__": import sys From a11668ec8ed2632346eaa320a533e48af6b13c95 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Fri, 19 Sep 2025 10:42:54 -0700 Subject: [PATCH 1300/1566] [release-test] remove a bunch of low-signal/redundant train/air/tune tests (#56477) Removes low-signal tests in Train/Tune/AIR. Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 591 +------------------------------------ 1 file changed, 5 insertions(+), 586 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index d08974941a26..295677be719f 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -165,73 +165,8 @@ alert: default -- name: long_running_horovod_tune_test - group: AIR tests - working_dir: air_tests - - frequency: weekly - team: ml - - cluster: - byod: - type: gpu - post_build_script: byod_horovod_master_test.sh - cluster_compute: horovod/compute_tpl_aws.yaml - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: horovod/compute_tpl_gce.yaml - - run: - timeout: 36000 - script: python horovod/workloads/horovod_tune_test.py - long_running: true - wait_for_nodes: - num_nodes: 2 - - smoke_test: - frequency: manual - - run: - timeout: 3600 - - alert: default - - -# Ray AIR distributed Torch benchmarks -- name: air_benchmark_torch_mnist_cpu_4x1 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_4_aws.yaml - - run: - timeout: 3600 - script: python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 8 - - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_4_gce.yaml - - alert: default +# Ray Train distributed Torch benchmarks - name: air_benchmark_torch_mnist_gpu_4x4 group: AIR tests working_dir: air_tests/air_benchmarks @@ -278,63 +213,6 @@ alert: default - -- name: air_benchmark_torch_mnist_cpu_1x4 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_1_aws.yaml - - run: - timeout: 3600 - script: python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_1_gce.yaml - - alert: default - - -- name: air_benchmark_torch_mnist_cpu_4x4 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_4_aws.yaml - - run: - timeout: 5400 - script: python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 2 - - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_4_gce.yaml - - alert: default - - name: air_benchmark_tune_torch_mnist group: AIR tests working_dir: air_tests/air_benchmarks @@ -364,125 +242,7 @@ alert: default -- name: air_benchmark_tune_torch_mnist_gpu - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_gpu_4x4_aws.yaml - - run: - timeout: 3600 - script: python workloads/tune_torch_benchmark.py --num-runs 2 --num-trials 4 --num-workers 4 --use-gpu - - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gpu_4x4_gce.yaml - - alert: default - -# Ray AIR distributed Tensorflow benchmarks -- name: air_benchmark_tensorflow_mnist_cpu_4x1 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_4_aws.yaml - - run: - timeout: 5400 - script: python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 8 - - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_4_gce.yaml - - alert: default - - -- name: air_benchmark_tensorflow_mnist_cpu_1x4 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_1_aws.yaml - - run: - timeout: 5400 - script: python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_1_gce.yaml - - alert: default - - -- name: air_benchmark_tensorflow_mnist_cpu_4x4 - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - stable: false - - cluster: - byod: - type: gpu - cluster_compute: compute_cpu_4_aws.yaml - - run: - timeout: 5400 - script: python workloads/tensorflow_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 2 - - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_cpu_4_gce.yaml - - alert: default - - +# Ray Train distributed Tensorflow benchmarks - name: air_benchmark_tensorflow_mnist_gpu_4x4 group: AIR tests working_dir: air_tests/air_benchmarks @@ -528,126 +288,6 @@ alert: default -- name: air_benchmark_pytorch_training_e2e_gpu_1x1_20gb - group: AIR tests - working_dir: air_tests/air_benchmarks - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_gpu_1_aws.yaml - - run: - timeout: 3600 - script: python workloads/pytorch_training_e2e.py --data-size-gb 20 - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gpu_1_gce.yaml - - -- name: air_benchmark_pytorch_training_e2e_gpu_4x4_100gb - group: AIR tests - working_dir: air_tests/air_benchmarks - - # Jailed with - # https://github.com/ray-project/ray/issues/56282 - frequency: manual - team: ml - - stable: false - - cluster: - byod: - type: gpu - cluster_compute: compute_gpu_4x4_aws.yaml - - run: - timeout: 10800 - script: python workloads/pytorch_training_e2e.py --data-size-gb=100 --num-workers=16 - - wait_for_nodes: - num_nodes: 4 - - alert: default - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gpu_4x4_gce.yaml - -# Test tiny, and medium input files to check that performance stays about -# constant. -- name: ray-data-resnet50-ingest-file-size-benchmark - group: AIR tests - working_dir: air_tests/air_benchmarks/mlperf-train - - frequency: nightly - - team: data - cluster: - byod: - type: gpu - runtime_env: - - RAY_task_oom_retries=50 - - RAY_min_memory_free_bytes=1000000000 - cluster_compute: compute_cpu_16.yaml - - run: - timeout: 3600 - script: bash file_size_benchmark.sh - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_cpu_16.yaml - -# Test huge files to check that we do not OOM. -- name: ray-data-resnet50-ingest-out-of-memory-benchmark - group: AIR tests - working_dir: air_tests/air_benchmarks/mlperf-train - - stable: false - - # Failing since Aug 2025. - # https://github.com/ray-project/ray/issues/52562 - frequency: manual - - team: data - cluster: - byod: - type: gpu - runtime_env: - - RAY_task_oom_retries=50 - - RAY_min_memory_free_bytes=1000000000 - cluster_compute: compute_cpu_16.yaml - - run: - timeout: 3600 - script: bash oom_benchmark.sh - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_cpu_16.yaml ####################### # AIR examples @@ -743,128 +383,10 @@ script: python test_myst_doc.py --path vicuna_13b_lightning_deepspeed_finetune.ipynb ####################### -# ML user tests +# Tune tests ####################### -- name: ml_user_horovod_user_test_latest - group: ML user tests - working_dir: ml_user_tests - - frequency: nightly-3x - team: ml - - cluster: - byod: - type: gpu - post_build_script: byod_horovod_test.sh - cluster_compute: horovod/compute_tpl_aws.yaml - - run: - timeout: 1200 - script: python horovod/horovod_user_test.py - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: horovod/compute_tpl_gce.yaml - - alert: default - -- name: ml_user_horovod_user_test_master - group: ML user tests - working_dir: ml_user_tests - - frequency: nightly-3x - team: ml - - cluster: - byod: - type: gpu - post_build_script: byod_horovod_master_test.sh - cluster_compute: horovod/compute_tpl_aws.yaml - - run: - timeout: 1200 - script: python horovod/horovod_user_test.py - wait_for_nodes: - num_nodes: 4 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: horovod/compute_tpl_gce.yaml - - alert: default - -- name: ml_user_train_tensorflow_mnist_test - group: ML user tests - working_dir: ml_user_tests - - frequency: nightly-3x - team: ml - - cluster: - byod: - runtime_env: - - TRAIN_PLACEMENT_GROUP_TIMEOUT_S=2000 - type: cu123 - cluster_compute: train/compute_tpl_aws.yaml - - run: - timeout: 36000 - script: RAY_TRAIN_V2_ENABLED=1 python train/train_tensorflow_mnist_test.py - wait_for_nodes: - num_nodes: 3 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: train/compute_tpl_gce.yaml - - alert: default - -- name: ml_user_train_torch_linear_test - group: ML user tests - working_dir: ml_user_tests - - frequency: nightly-3x - team: ml - - cluster: - byod: - runtime_env: - - TRAIN_PLACEMENT_GROUP_TIMEOUT_S=2000 - type: gpu - cluster_compute: train/compute_tpl_aws.yaml - - run: - timeout: 36000 - script: python train/train_torch_linear_test.py - wait_for_nodes: - num_nodes: 3 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: train/compute_tpl_gce.yaml - - alert: default - -- name: ml_user_tune_rllib_connect_test - group: ML user tests +- name: tune_rllib_connect_test + group: Tune tests working_dir: ml_user_tests frequency: nightly-3x @@ -895,9 +417,6 @@ alert: default -####################### -# Tune cloud tests -####################### - name: tune_cloud_long_running_cloud_storage group: Tune cloud tests working_dir: tune_tests/cloud_tests @@ -1201,38 +720,6 @@ # cluster: # cluster_compute: tpl_gce_16x1.yaml -######################## -# Golden Notebook tests -######################## -- name: golden_notebook_torch_tune_serve_test - group: Golden Notebook tests - working_dir: golden_notebook_tests - - frequency: manual - team: ml - - cluster: - byod: - type: gpu - cluster_compute: gpu_tpl_aws.yaml - - run: - timeout: 600 - script: python workloads/torch_tune_serve_test.py - wait_for_nodes: - num_nodes: 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: gpu_tpl_gce.yaml - - alert: default - - ####################### # Long running tests ####################### @@ -1743,42 +1230,6 @@ cluster: cluster_compute: tpl_cpu_1_gce.yaml -- name: long_running_distributed_pytorch_pbt_failure - group: Long running tests - working_dir: long_running_distributed_tests - - frequency: weekly - team: ml - - cluster: - byod: - type: gpu - cluster_compute: compute_tpl.yaml - - run: - timeout: 86400 - script: python workloads/pytorch_pbt_failure.py - long_running: true - - smoke_test: - frequency: manual - run: - timeout: 3600 - - alert: long_running_tests - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - smoke_test: - frequency: manual - run: - timeout: 3600 - cluster: - cluster_compute: compute_tpl_gce.yaml - ######################## # Jobs tests ######################## @@ -2338,38 +1789,6 @@ timeout: 1200 script: RAY_TRAIN_V2_ENABLED=1 python train_benchmark.py --task=recsys --dataloader_type=ray_data --num_workers=8 --train_batch_size=8192 --validation_batch_size=16384 --num_epochs=1 - -- name: train_horovod_multi_node_test - group: Train tests - working_dir: train_tests/horovod - - frequency: nightly - team: ml - - cluster: - byod: - type: gpu - post_build_script: byod_horovod_test.sh - cluster_compute: compute_tpl_aws.yaml - - run: - timeout: 3000 - script: python train_horovod_multi_node_test.py - - wait_for_nodes: - num_nodes: 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_tpl_gce.yaml - - alert: default - - - name: train_multinode_persistence group: Train tests working_dir: train_tests/multinode_persistence From 33bf5baeada926fb79025b71ffbb244488e60f5f Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Fri, 19 Sep 2025 10:43:23 -0700 Subject: [PATCH 1301/1566] [core] Fix object manager fault tolerance pytest (#56625) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_object_manager_fault_tolerance.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/ray/tests/test_object_manager_fault_tolerance.py b/python/ray/tests/test_object_manager_fault_tolerance.py index 42213c3d478e..7fb22ffd60a7 100644 --- a/python/ray/tests/test_object_manager_fault_tolerance.py +++ b/python/ray/tests/test_object_manager_fault_tolerance.py @@ -48,11 +48,11 @@ def simple_task(big_object_ref_list): del big_object_ref def get_cluster_memory_usage(): - state = get_state_from_address() + state = get_state_from_address(ray.get_runtime_context().gcs_address) reply = get_memory_info_reply(state) return reply.store_stats.object_store_bytes_used - wait_for_condition(lambda: get_cluster_memory_usage() == 0, timeout=10) + wait_for_condition(lambda: get_cluster_memory_usage() == 0, timeout=30) if __name__ == "__main__": From ee9f926a1371e85fb22e2ba6e5c04e3853be9082 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Fri, 19 Sep 2025 11:13:13 -0700 Subject: [PATCH 1302/1566] [serve] Fix throughput optimized benchmarks (#56173) ## Why are these changes needed? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/benchmarks/common.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/python/ray/serve/_private/benchmarks/common.py b/python/ray/serve/_private/benchmarks/common.py index 1c51801662f7..2fe4d727cf17 100644 --- a/python/ray/serve/_private/benchmarks/common.py +++ b/python/ray/serve/_private/benchmarks/common.py @@ -105,12 +105,13 @@ async def do_single_http_batch( async def do_query(): start = time.perf_counter() try: - if stream: - async with session.get(url) as r: + async with session.get(url) as r: + if stream: async for chunk, _ in r.content.iter_chunks(): pass - else: - await session.get(url) + else: + # Read the response to ensure it's consumed + await r.read() except aiohttp.client_exceptions.ClientConnectionError: pass From 9a48134ba4023dcaf984244b358f492246727c92 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Fri, 19 Sep 2025 11:29:44 -0700 Subject: [PATCH 1303/1566] [serve] Expose actor name for target group api (#56738) ## Why are these changes needed? names will improve readability of this api and aid debugging ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/proxy_state.py | 1 + python/ray/serve/schema.py | 1 + python/ray/serve/tests/test_controller.py | 2 ++ python/ray/serve/tests/unit/test_proxy_state.py | 1 + 4 files changed, 5 insertions(+) diff --git a/python/ray/serve/_private/proxy_state.py b/python/ray/serve/_private/proxy_state.py index 719c23acba7a..32f462a157f1 100644 --- a/python/ray/serve/_private/proxy_state.py +++ b/python/ray/serve/_private/proxy_state.py @@ -635,6 +635,7 @@ def get_targets(self, protocol: RequestProtocol) -> List[Target]: ip=state.actor_details.node_ip, port=port, instance_id=state.actor_details.node_instance_id, + name=state.actor_name, ) for _, state in self._proxy_states.items() if state.actor_details.status == ProxyStatus.HEALTHY diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 055420eff9a4..4e64c3bfc213 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -1178,6 +1178,7 @@ class Target(BaseModel, frozen=True): ip: str = Field(description="IP address of the target.") port: int = Field(description="Port of the target.") instance_id: str = Field(description="Instance ID of the target.") + name: str = Field(description="Name of the target.") @PublicAPI(stability="alpha") diff --git a/python/ray/serve/tests/test_controller.py b/python/ray/serve/tests/test_controller.py index f9765663eda0..bd1653579fb3 100644 --- a/python/ray/serve/tests/test_controller.py +++ b/python/ray/serve/tests/test_controller.py @@ -224,6 +224,7 @@ def autoscaling_app(): "ip": node_ip, "port": 8000, "instance_id": node_instance_id, + "name": proxy_details.actor_name, }, ], "route_prefix": "/", @@ -235,6 +236,7 @@ def autoscaling_app(): "ip": node_ip, "port": 9000, "instance_id": node_instance_id, + "name": proxy_details.actor_name, }, ], "route_prefix": "/", diff --git a/python/ray/serve/tests/unit/test_proxy_state.py b/python/ray/serve/tests/unit/test_proxy_state.py index 473b9f32f6f7..6f379191b79a 100644 --- a/python/ray/serve/tests/unit/test_proxy_state.py +++ b/python/ray/serve/tests/unit/test_proxy_state.py @@ -683,6 +683,7 @@ def test_proxy_state_manager_get_targets(all_nodes): assert targets[0].ip == "mock_node_ip" assert targets[0].port == 8000 assert targets[0].instance_id == "mock_instance_id" + assert targets[0].name == "alice" targets = manager.get_targets(RequestProtocol.GRPC) assert len(targets) == 0 From a4ee97a9a14c21248b51e26bd61868eed50edcd0 Mon Sep 17 00:00:00 2001 From: matthewdeng Date: Fri, 19 Sep 2025 11:39:12 -0700 Subject: [PATCH 1304/1566] [train] Refactor `AcceleratorSetupCallback` to use `before_init_train_context` (#56509) This fixes an issue in which the CUDA context is not properly configured during import deserialization. ``` RuntimeError: device >= 0 && device < num_gpus INTERNAL ASSERT FAILED at "../aten/src/ATen/cuda/CUDAContext.cpp":49, please report a bug to PyTorch. device=1, num_gpus= ``` The fix is to update the CUDA_VISIBLE_DEVICE sharing logic to be implemented in before_init_train_context instead of after_worker_group_start, so that torch.cuda initialization happens after the environment variable is set up properly. --------- Signed-off-by: Matthew Deng Signed-off-by: Justin Yu Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- .buildkite/ml.rayci.yml | 1 + ci/lint/pydoclint-baseline.txt | 4 -- python/ray/train/v2/BUILD.bazel | 17 +++++ .../v2/_internal/callbacks/accelerators.py | 47 ++++++++------ .../train/v2/tests/test_accelerator_utils.py | 4 +- python/ray/train/v2/tests/test_torch_gpu.py | 64 +++++++++++++++++++ 6 files changed, 109 insertions(+), 28 deletions(-) create mode 100644 python/ray/train/v2/tests/test_torch_gpu.py diff --git a/.buildkite/ml.rayci.yml b/.buildkite/ml.rayci.yml index b97176807947..097e53838d85 100644 --- a/.buildkite/ml.rayci.yml +++ b/.buildkite/ml.rayci.yml @@ -76,6 +76,7 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/train/... ml --parallelism-per-worker 3 --only-tags train_v2 + --except-tags gpu_only depends_on: [ "mlbuild", "forge" ] - label: ":train: ml: {{matrix.python}} tests ({{matrix.worker_id}})" diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index d32f6fa9dd3d..e884695e4439 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1978,10 +1978,6 @@ python/ray/train/torch/train_loop_utils.py DOC111: Method `_TorchAccelerator.backward`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list -------------------- python/ray/train/v2/_internal/callbacks/accelerators.py - DOC101: Function `_share_cuda_visible_devices`: Docstring contains fewer arguments than in function signature. - DOC103: Function `_share_cuda_visible_devices`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [worker_group: WorkerGroup]. - DOC101: Function `_share_accelerator_ids`: Docstring contains fewer arguments than in function signature. - DOC103: Function `_share_accelerator_ids`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [worker_group: WorkerGroup]. DOC101: Function `_get_visible_accelerator_ids_per_worker`: Docstring contains fewer arguments than in function signature. DOC103: Function `_get_visible_accelerator_ids_per_worker`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_name: str, worker_metadatas: List[ActorMetadata]]. -------------------- diff --git a/python/ray/train/v2/BUILD.bazel b/python/ray/train/v2/BUILD.bazel index c19c054dec37..b143db7bb3f7 100644 --- a/python/ray/train/v2/BUILD.bazel +++ b/python/ray/train/v2/BUILD.bazel @@ -421,6 +421,23 @@ py_test( ], ) +py_test( + name = "test_torch_gpu", + size = "small", + srcs = ["tests/test_torch_gpu.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "gpu_only", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_torch_trainer", size = "small", diff --git a/python/ray/train/v2/_internal/callbacks/accelerators.py b/python/ray/train/v2/_internal/callbacks/accelerators.py index 81858f2b8a89..d4eaa965c893 100644 --- a/python/ray/train/v2/_internal/callbacks/accelerators.py +++ b/python/ray/train/v2/_internal/callbacks/accelerators.py @@ -1,7 +1,7 @@ import logging import os from collections import defaultdict -from typing import List +from typing import TYPE_CHECKING, Any, Dict, List import ray._private.ray_constants as ray_constants from ray._private.accelerators.nvidia_gpu import CUDA_VISIBLE_DEVICES_ENV_VAR @@ -9,10 +9,13 @@ from ray.train import BackendConfig from ray.train.constants import ENABLE_SHARE_CUDA_VISIBLE_DEVICES_ENV from ray.train.v2._internal.execution.callback import WorkerGroupCallback -from ray.train.v2._internal.execution.worker_group import ActorMetadata, WorkerGroup +from ray.train.v2._internal.execution.worker_group import ActorMetadata from ray.train.v2._internal.util import ray_get_safe from ray.train.v2.api.config import ScalingConfig +if TYPE_CHECKING: + from ray.train.v2._internal.execution.worker_group.worker import Worker + logger = logging.getLogger(__name__) @@ -27,11 +30,16 @@ def __init__(self, backend_config: BackendConfig, scaling_config: ScalingConfig) self._backend = backend_config.backend_cls() self._scaling_config = scaling_config - def after_worker_group_start(self, worker_group: WorkerGroup): - self._maybe_share_cuda_visible_devices(worker_group) + def before_init_train_context( + self, workers: List["Worker"] + ) -> Dict[str, List[Any]]: + self._maybe_share_cuda_visible_devices(workers) # TODO: Add support for sharing other accelerator resources. - def _maybe_share_cuda_visible_devices(self, worker_group: WorkerGroup): + return {} + + def _maybe_share_cuda_visible_devices(self, workers: List["Worker"]): + """Set CUDA visible devices environment variables on workers.""" share_cuda_visible_devices_enabled = env_bool( ENABLE_SHARE_CUDA_VISIBLE_DEVICES_ENV, self._backend.share_cuda_visible_devices, @@ -41,10 +49,10 @@ def _maybe_share_cuda_visible_devices(self, worker_group: WorkerGroup): self._scaling_config._resources_per_worker_not_none.get("GPU", 0) > 0 and share_cuda_visible_devices_enabled ): - _share_cuda_visible_devices(worker_group) + _share_cuda_visible_devices(workers) -def _share_cuda_visible_devices(worker_group: WorkerGroup): +def _share_cuda_visible_devices(workers: List["Worker"]): """Sets CUDA_VISIBLE_DEVICES on all workers. For each worker, CUDA_VISIBLE_DEVICES will be set to the GPU IDs visible to all workers on that worker's node. @@ -61,15 +69,16 @@ def _share_cuda_visible_devices(worker_group: WorkerGroup): CUDA_VISIBLE_DEVICES: - Worker1: "0,1,2,3" - Worker2: "0,1,2,3" - - Worker2: "0,1" + - Worker3: "0,1" + + Args: + workers: List of worker objects. """ - _share_accelerator_ids( - worker_group, ray_constants.GPU, CUDA_VISIBLE_DEVICES_ENV_VAR - ) + _share_accelerator_ids(workers, ray_constants.GPU, CUDA_VISIBLE_DEVICES_ENV_VAR) def _share_accelerator_ids( - worker_group: WorkerGroup, accelerator_name: str, env_var: str + workers: List["Worker"], accelerator_name: str, env_var: str ): """Sets the given env_var on all workers. For each worker, the cores/devices are visible to all the @@ -86,18 +95,14 @@ def _share_accelerator_ids( NEURON_RT_VISIBLE_CORES/TPU_VISIBLE_CHIPS/...: - Worker1: "0,1,2,3" - Worker2: "0,1,2,3" - - Worker2: "0,1" + - Worker3: "0,1" Args: + workers: List of worker objects. accelerator_name: The name of the accelerator. env_var: The name of the environment variable to set. """ - if not worker_group.has_started(): - raise RuntimeError( - "WorkerGroup must be started before sharing accelerator IDs." - ) - - worker_metadatas = [worker.metadata for worker in worker_group.get_workers()] + worker_metadatas = [worker.metadata for worker in workers] visible_accelerator_ids_per_worker = _get_visible_accelerator_ids_per_worker( worker_metadatas=worker_metadatas, accelerator_name=accelerator_name ) @@ -108,8 +113,8 @@ def set_accelerator_ids(accelerator_ids): futures = [] for rank, visible_accelerator_ids in enumerate(visible_accelerator_ids_per_worker): futures.append( - worker_group.execute_single_async( - rank, set_accelerator_ids, accelerator_ids=visible_accelerator_ids + workers[rank].execute_async( + set_accelerator_ids, accelerator_ids=visible_accelerator_ids ) ) ray_get_safe(futures) diff --git a/python/ray/train/v2/tests/test_accelerator_utils.py b/python/ray/train/v2/tests/test_accelerator_utils.py index d9e0149bf64c..3a1365cdc8b1 100644 --- a/python/ray/train/v2/tests/test_accelerator_utils.py +++ b/python/ray/train/v2/tests/test_accelerator_utils.py @@ -126,12 +126,10 @@ class DummyBackend(Backend): train_run_context=create_dummy_run_context(), worker_group_context=worker_group_context, ) - with pytest.raises(RuntimeError): - setup_callback.after_worker_group_start(worker_group) worker_group._start() - setup_callback.after_worker_group_start(worker_group) + setup_callback.before_init_train_context(worker_group.get_workers()) visible_devices_per_worker = worker_group.execute( lambda: os.environ["CUDA_VISIBLE_DEVICES"] diff --git a/python/ray/train/v2/tests/test_torch_gpu.py b/python/ray/train/v2/tests/test_torch_gpu.py new file mode 100644 index 000000000000..391a1d54cc80 --- /dev/null +++ b/python/ray/train/v2/tests/test_torch_gpu.py @@ -0,0 +1,64 @@ +from typing import List + +import pytest +import torch + +import ray +from ray.train import RunConfig, ScalingConfig +from ray.train.torch import TorchTrainer +from ray.train.v2._internal.execution.callback import WorkerGroupCallback +from ray.train.v2._internal.execution.worker_group import Worker + + +def test_torch_trainer_cuda_initialization(): + """Test that Torch CUDA initialization works with TorchTrainer. + + This test verifies that PyTorch can properly initialize CUDA on multiple + workers before the training context is set up, ensuring that GPU resources + are available and accessible across all training workers. + + See https://github.com/ray-project/ray/pull/56509 for more details. + """ + + def train_func(): + """Empty training function for this initialization test. + + Since we're only testing CUDA initialization, the actual training + logic is not needed for this test case. + """ + pass + + def init_torch(): + """Trigger (lazy) initialization of CUDA.""" + torch.cuda.is_available() + + class InitTorchCallback(WorkerGroupCallback): + """Callback to initialize PyTorch CUDA before training begins. + + Implements before_init_train_context because this is where torch is typically imported, + ensuring that the CUDA environment is properly initialized. + """ + + def before_init_train_context(self, workers: List[Worker]): + """Execute CUDA initialization on all workers.""" + futures = [] + for worker in workers: + futures.append(worker.execute_async(init_torch)) + ray.get(futures) + return {} + + callback = InitTorchCallback() + + trainer = TorchTrainer( + train_func, + scaling_config=ScalingConfig(num_workers=2, use_gpu=True), + run_config=RunConfig(callbacks=[callback]), + ) + + trainer.fit() + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) From ee327e2214dc41d76445c74d4070cbe1e99bfcfa Mon Sep 17 00:00:00 2001 From: Vaishnavi Panchavati <38342947+vaishdho1@users.noreply.github.com> Date: Fri, 19 Sep 2025 11:39:36 -0700 Subject: [PATCH 1305/1566] [Serve] Custom parameter for downscaling to zero (#56573) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? Ray Serve's current autoscaling behavior uses a single parameter `downscale_delay_s` to control all downscaling decisions, including scaling down to zero replicas. This is suboptimal transitioning to zero replicas, where cold start penalties are a concern. This enhancement introduces a new optional parameter `downscale_to_zero_delay_s` that enables fine grained control over the final scaling step to zero replicas. The implementation enforces a mandatory two stage downscaling process: Stage 1 (n→1): Deployments first scale down to 1 replica using the existing `downscale_delay_s` parameter Stage 2 (1→0): The final transition to 0 replicas uses `downscale_to_zero_delay_s` if configured, otherwise falls back to `downscale_delay_s` ## Related issue number FIxes #52867 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Vaishnavi Panchavati Co-authored-by: Cindy Zhang Signed-off-by: Douglas Strodtman --- .../advanced-guides/advanced-autoscaling.md | 10 ++- python/ray/serve/autoscaling_policy.py | 18 +++++- python/ray/serve/config.py | 8 ++- python/ray/serve/tests/test_controller.py | 1 + python/ray/serve/tests/test_deploy_2.py | 2 + python/ray/serve/tests/test_deploy_app_2.py | 2 + .../tests/unit/test_autoscaling_policy.py | 64 ++++++++++++++++++- .../serve/tests/unit/test_deployment_state.py | 34 ++++++++++ src/ray/protobuf/serve.proto | 3 + 9 files changed, 133 insertions(+), 9 deletions(-) diff --git a/doc/source/serve/advanced-guides/advanced-autoscaling.md b/doc/source/serve/advanced-guides/advanced-autoscaling.md index 75047a283ad3..6a5ed7a29915 100644 --- a/doc/source/serve/advanced-guides/advanced-autoscaling.md +++ b/doc/source/serve/advanced-guides/advanced-autoscaling.md @@ -116,15 +116,21 @@ aggregated ongoing requests metrics. For example, if your service is likely to experience bursts of traffic, you can lower `upscale_delay_s` so that your application can react quickly to increases in traffic. +Ray Serve uses a two stage downscaling process to provide more granular control over scaling decisions. +The first stage is used to scale down replicas to a minimum of one. +The second stage is used to scale down replicas from one to zero (if `min_replicas = 0`) + * **downscale_delay_s [default=600s]**: This defines how long Serve waits before -scaling down the number of replicas in your deployment. In other words, this +scaling down the number of replicas to a minimum of one in your deployment. In other words, this parameter controls the frequency of downscale decisions. If the replicas are *consistently* serving less requests than desired for a `downscale_delay_s` number of seconds, then Serve scales down the number of replicas based on aggregated ongoing requests metrics. For example, if your application initializes slowly, you can increase `downscale_delay_s` to make the downscaling happen more infrequently and avoid reinitialization when the application needs -to upscale again in the future. +to upscale again in the future. This parameter also serves as the fallback delay for the second stage when `downscale_to_zero_delay_s` is not specified. +* **downscale_to_zero_delay_s [Optional]**: This defines how long Serve waits before +scaling from one replica down to zero. If not specified, the final 1→0 transition uses the `downscale_delay_s` value. This feature is useful for scenarios where you want a conservative scale to zero behavior. * **upscale_smoothing_factor [default_value=1.0] (DEPRECATED)**: This parameter is renamed to `upscaling_factor`. `upscale_smoothing_factor` will be removed in diff --git a/python/ray/serve/autoscaling_policy.py b/python/ray/serve/autoscaling_policy.py index eb443a46c03a..7cd790ec8fa4 100644 --- a/python/ray/serve/autoscaling_policy.py +++ b/python/ray/serve/autoscaling_policy.py @@ -144,16 +144,28 @@ def replica_queue_length_autoscaling_policy( elif desired_num_replicas < curr_target_num_replicas: # If the previous decision was to scale up (the counter was # positive), reset it to zero before decrementing. + if decision_counter > 0: decision_counter = 0 decision_counter -= 1 - + # Downscaling to zero is only allowed from 1 -> 0 + is_scaling_to_zero = curr_target_num_replicas == 1 + # Determine the delay to use + if is_scaling_to_zero: + # Check if the downscale_to_zero_delay_s is set + if config.downscale_to_zero_delay_s is not None: + delay_s = config.downscale_to_zero_delay_s + else: + delay_s = config.downscale_delay_s + else: + delay_s = config.downscale_delay_s + # The desired_num_replicas>0 for downscaling cases other than 1->0 + desired_num_replicas = max(1, desired_num_replicas) # Only actually scale the replicas if we've made this decision for # 'scale_down_consecutive_periods' in a row. - if decision_counter < -int(config.downscale_delay_s / CONTROL_LOOP_INTERVAL_S): + if decision_counter < -int(delay_s / CONTROL_LOOP_INTERVAL_S): decision_counter = 0 decision_num_replicas = desired_num_replicas - # Do nothing. else: decision_counter = 0 diff --git a/python/ray/serve/config.py b/python/ray/serve/config.py index 650f62f71b44..0b1905b3a0d7 100644 --- a/python/ray/serve/config.py +++ b/python/ray/serve/config.py @@ -223,7 +223,13 @@ class AutoscalingConfig(BaseModel): # How frequently to make autoscaling decisions # loop_period_s: float = CONTROL_LOOP_PERIOD_S downscale_delay_s: NonNegativeFloat = Field( - default=600.0, description="How long to wait before scaling down replicas." + default=600.0, + description="How long to wait before scaling down replicas to a value greater than 0.", + ) + # Optionally set for 1->0 transition + downscale_to_zero_delay_s: Optional[NonNegativeFloat] = Field( + default=None, + description="How long to wait before scaling down replicas from 1 to 0. If not set, the value of `downscale_delay_s` will be used.", ) upscale_delay_s: NonNegativeFloat = Field( default=30.0, description="How long to wait before scaling up replicas." diff --git a/python/ray/serve/tests/test_controller.py b/python/ray/serve/tests/test_controller.py index bd1653579fb3..954d45ce5809 100644 --- a/python/ray/serve/tests/test_controller.py +++ b/python/ray/serve/tests/test_controller.py @@ -176,6 +176,7 @@ def autoscaling_app(): "upscaling_factor": None, "downscaling_factor": None, "downscale_delay_s": 600.0, + "downscale_to_zero_delay_s": None, "upscale_delay_s": 30.0, "policy": { "name": "ray.serve.autoscaling_policy:default_autoscaling_policy" diff --git a/python/ray/serve/tests/test_deploy_2.py b/python/ray/serve/tests/test_deploy_2.py index 1dc32c7a23a0..bb85c76a5050 100644 --- a/python/ray/serve/tests/test_deploy_2.py +++ b/python/ray/serve/tests/test_deploy_2.py @@ -325,6 +325,7 @@ async def __call__(self): "upscale_delay_s": 30.0, "look_back_period_s": 30.0, "downscale_delay_s": 600.0, + "downscale_to_zero_delay_s": None, "upscale_smoothing_factor": None, "downscale_smoothing_factor": None, "upscaling_factor": None, @@ -379,6 +380,7 @@ async def __call__(self): # Untouched defaults "look_back_period_s": 30.0, "downscale_delay_s": 600.0, + "downscale_to_zero_delay_s": None, "upscale_smoothing_factor": None, "downscale_smoothing_factor": None, "upscaling_factor": None, diff --git a/python/ray/serve/tests/test_deploy_app_2.py b/python/ray/serve/tests/test_deploy_app_2.py index 28ce0a1adb92..f523e4ae1d2d 100644 --- a/python/ray/serve/tests/test_deploy_app_2.py +++ b/python/ray/serve/tests/test_deploy_app_2.py @@ -588,6 +588,7 @@ def test_num_replicas_auto_api(serve_instance): "metrics_interval_s": 10.0, "upscale_delay_s": 30.0, "downscale_delay_s": 600.0, + "downscale_to_zero_delay_s": None, "upscale_smoothing_factor": None, "downscale_smoothing_factor": None, "upscaling_factor": None, @@ -641,6 +642,7 @@ def test_num_replicas_auto_basic(serve_instance): "upscale_delay_s": 1.0, # Untouched defaults "downscale_delay_s": 600.0, + "downscale_to_zero_delay_s": None, "upscale_smoothing_factor": None, "downscale_smoothing_factor": None, "upscaling_factor": None, diff --git a/python/ray/serve/tests/unit/test_autoscaling_policy.py b/python/ray/serve/tests/unit/test_autoscaling_policy.py index 93678aa00f29..5b51e52864af 100644 --- a/python/ray/serve/tests/unit/test_autoscaling_policy.py +++ b/python/ray/serve/tests/unit/test_autoscaling_policy.py @@ -297,7 +297,12 @@ def test_scaling_factor_scale_down_to_0_replicas( last_scale_down_time=None, ) new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) - + # Downscaling to 0 first stops at 1 + assert new_num_replicas == 1 + # Need to trigger this the second time to go to zero + ctx.target_num_replicas = 1 + ctx.current_num_replicas = 1 + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 # With smoothing factor < 1, the desired number of replicas shouldn't @@ -318,8 +323,9 @@ def test_scaling_factor_scale_down_to_0_replicas( assert num_replicas == 0 - def test_upscale_downscale_delay(self): - """Unit test for upscale_delay_s and downscale_delay_s.""" + @pytest.mark.parametrize("downscale_to_zero_delay_s", [None, 300]) + def test_upscale_downscale_delay(self, downscale_to_zero_delay_s): + """Unit test for upscale_delay_s, downscale_delay_s and downscale_to_zero_delay_s""" upscale_delay_s = 30.0 downscale_delay_s = 600.0 @@ -333,10 +339,20 @@ def test_upscale_downscale_delay(self): target_ongoing_requests=1, upscale_delay_s=30.0, downscale_delay_s=600.0, + downscale_to_zero_delay_s=downscale_to_zero_delay_s, ) upscale_wait_periods = int(upscale_delay_s / CONTROL_LOOP_INTERVAL_S) downscale_wait_periods = int(downscale_delay_s / CONTROL_LOOP_INTERVAL_S) + # Check if downscale_to_zero_delay_s is set + if downscale_to_zero_delay_s: + downscale_to_zero_wait_periods = int( + downscale_to_zero_delay_s / CONTROL_LOOP_INTERVAL_S + ) + else: + downscale_to_zero_wait_periods = int( + downscale_delay_s / CONTROL_LOOP_INTERVAL_S + ) overload_requests = 100 @@ -384,10 +400,21 @@ def test_upscale_downscale_delay(self): ctx.target_num_replicas = 2 # We should scale down only after enough consecutive scale-down decisions. + # Downscaling to zero follows current_num_replicas->1->0 for i in range(downscale_wait_periods): new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2, i + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) + assert new_num_replicas == 1 + + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + # We should scale down to zero only after enough consecutive downscale-to-zero decisions. + for i in range(downscale_to_zero_wait_periods): + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) + assert new_num_replicas == 1, i + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 @@ -442,10 +469,41 @@ def test_upscale_downscale_delay(self): ctx.total_num_requests = no_requests ctx.current_num_replicas = 2 ctx.target_num_replicas = 2 + + # We should scale down only after enough consecutive scale-down decisions. for i in range(downscale_wait_periods): new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 2, i + # First scale down to 1 replica + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) + assert new_num_replicas == 1 + + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + + # Scale down to 0, but not enough to trigger a complete scale down to zero. + for i in range(int(downscale_to_zero_wait_periods / 2)): + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) + assert new_num_replicas == 1, i + + ctx.total_num_requests = 100 + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + # Interrupt with a scale-up decision. + replica_queue_length_autoscaling_policy(ctx=ctx) + + ctx.total_num_requests = no_requests + ctx.current_num_replicas = 1 + ctx.target_num_replicas = 1 + + # The counter should be reset so it should require `downscale_to_zero_wait_periods` + # more periods before we actually scale down. + for i in range(downscale_to_zero_wait_periods): + new_num_replicas, v = replica_queue_length_autoscaling_policy(ctx=ctx) + # print(new_num_replicas, v) + assert new_num_replicas == 1, i + new_num_replicas, _ = replica_queue_length_autoscaling_policy(ctx=ctx) assert new_num_replicas == 0 diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index b8d402a31419..7a89c537d437 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -2912,7 +2912,19 @@ def test_basic_autoscaling( for replica in ds._replicas.get(): replica._actor.set_ready() else: + # Due to two-stage downscaling one of the replicas will still be running + check_counts( + ds, + total=3, + by_state=[ + (ReplicaState.STOPPING, 2, None), + (ReplicaState.RUNNING, 1, None), + ], + ) + # Trigger the second stage of downscaling + dsm.update() check_counts(ds, total=3, by_state=[(ReplicaState.STOPPING, 3, None)]) + assert ds.curr_status_info.status == DeploymentStatus.DOWNSCALING assert ( ds.curr_status_info.status_trigger @@ -3561,6 +3573,17 @@ def test_handle_metrics_timeout(self, mock_deployment_state_manager): # result, the replicas should scale back down to 0. timer.advance(10) asm.drop_stale_handle_metrics(dsm.get_alive_replica_actor_ids()) + # The first update will trigger the first stage of downscaling to 1 + dsm.update() + check_counts( + ds, + total=2, + by_state=[ + (ReplicaState.STOPPING, 1, None), + (ReplicaState.RUNNING, 1, None), + ], + ) + # The second update will trigger the second stage of downscaling from 1 to 0 dsm.update() check_counts(ds, total=2, by_state=[(ReplicaState.STOPPING, 2, None)]) assert asm.get_total_num_requests(TEST_DEPLOYMENT_ID) == 0 @@ -3665,6 +3688,17 @@ def test_handle_metrics_on_dead_serve_actor(self, mock_deployment_state_manager) # Consequently d1 should scale down to 0 replicas asm.drop_stale_handle_metrics(dsm.get_alive_replica_actor_ids()) dsm.update() + # Due to two-stage downscaling one of the replicas will still be running + check_counts( + ds1, + total=2, + by_state=[ + (ReplicaState.STOPPING, 1, None), + (ReplicaState.RUNNING, 1, None), + ], + ) + # Trigger the second stage of downscaling + dsm.update() check_counts(ds1, total=2, by_state=[(ReplicaState.STOPPING, 2, None)]) diff --git a/src/ray/protobuf/serve.proto b/src/ray/protobuf/serve.proto index 420bb7258b23..1dce6a2a3c3b 100644 --- a/src/ray/protobuf/serve.proto +++ b/src/ray/protobuf/serve.proto @@ -82,6 +82,9 @@ message AutoscalingConfig { // The multiplicative "gain" factor to limit downscale. optional double downscaling_factor = 15; + + // How long to wait before scaling down replicas from 1 to 0 + optional double downscale_to_zero_delay_s = 16; } //[Begin] LOGGING CONFIG From 80f5dcaf04468e37180fc343d413ba5cb9bc53e3 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Fri, 19 Sep 2025 17:35:17 -0400 Subject: [PATCH 1306/1566] [Data][Cleanup] Avoid importing exported symbols (#56735) ## Why are these changes needed? Subject ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../callbacks/insert_issue_detectors.py | 10 +++++++--- .../execution/operators/hash_aggregate.py | 2 +- .../execution/operators/hash_shuffle.py | 4 +++- .../_internal/execution/operators/join.py | 2 +- .../data/_internal/iterator/iterator_impl.py | 2 +- .../iterator/stream_split_iterator.py | 2 +- .../logical/interfaces/logical_plan.py | 2 +- .../logical/interfaces/physical_plan.py | 2 +- .../data/_internal/logical/interfaces/plan.py | 2 +- .../logical/operators/join_operator.py | 2 +- .../operators/streaming_split_operator.py | 8 +++++--- .../ray/data/_internal/metadata_exporter.py | 2 +- python/ray/data/_internal/pandas_block.py | 10 +++++++++- python/ray/data/_internal/progress_bar.py | 2 +- python/ray/data/aggregate.py | 2 +- python/ray/data/preprocessor.py | 2 +- python/ray/data/preprocessors/chain.py | 10 +++++----- python/ray/data/preprocessors/discretizer.py | 8 +++++--- python/ray/data/preprocessors/encoder.py | 19 ++++++++++--------- python/ray/data/preprocessors/imputer.py | 10 ++++++---- python/ray/data/preprocessors/scaler.py | 16 +++++++++------- python/ray/data/preprocessors/vectorizer.py | 8 +++++--- python/ray/data/random_access_dataset.py | 2 +- python/ray/data/tests/test_arrow_block.py | 2 +- python/ray/data/tests/test_block_sizing.py | 2 +- python/ray/data/tests/test_delta_sharing.py | 2 +- .../data/tests/test_dynamic_block_split.py | 2 +- python/ray/data/tests/test_join.py | 3 ++- .../ray/data/tests/test_jumbo_arrow_block.py | 2 +- python/ray/data/tests/test_map.py | 2 +- python/ray/data/tests/test_numpy.py | 3 ++- python/ray/data/tests/test_numpy_support.py | 2 +- python/ray/data/tests/test_operator_fusion.py | 2 +- python/ray/data/tests/test_optimize.py | 2 +- python/ray/data/tests/test_sort.py | 2 +- python/ray/data/tests/test_state_export.py | 2 +- python/ray/data/tests/test_strict_mode.py | 2 +- python/ray/data/tests/test_tensor.py | 3 ++- python/ray/data/tests/test_tfrecords.py | 2 +- .../ray/data/tests/test_transform_pyarrow.py | 2 +- 40 files changed, 97 insertions(+), 69 deletions(-) diff --git a/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py b/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py index 0097e8e101e4..661a873fbcc1 100644 --- a/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py +++ b/python/ray/data/_internal/execution/callbacks/insert_issue_detectors.py @@ -1,7 +1,11 @@ +from typing import TYPE_CHECKING + from ray.data._internal.execution.execution_callback import ( ExecutionCallback, ) -from ray.data._internal.execution.streaming_executor import StreamingExecutor + +if TYPE_CHECKING: + from ray.data._internal.execution.streaming_executor import StreamingExecutor from ray.data._internal.issue_detection.issue_detector_manager import ( IssueDetectorManager, ) @@ -10,10 +14,10 @@ class IssueDetectionExecutionCallback(ExecutionCallback): """ExecutionCallback that handles issue detection.""" - def before_execution_starts(self, executor: StreamingExecutor): + def before_execution_starts(self, executor: "StreamingExecutor"): # Initialize issue detector in StreamingExecutor executor._issue_detector_manager = IssueDetectorManager(executor) - def on_execution_step(self, executor: StreamingExecutor): + def on_execution_step(self, executor: "StreamingExecutor"): # Invoke all issue detectors executor._issue_detector_manager.invoke_detectors() diff --git a/python/ray/data/_internal/execution/operators/hash_aggregate.py b/python/ray/data/_internal/execution/operators/hash_aggregate.py index c26f3e865214..005a53d9f52f 100644 --- a/python/ray/data/_internal/execution/operators/hash_aggregate.py +++ b/python/ray/data/_internal/execution/operators/hash_aggregate.py @@ -2,7 +2,6 @@ import math from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple -from ray.data import DataContext from ray.data._internal.arrow_block import ArrowBlockAccessor from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.operators.hash_shuffle import ( @@ -13,6 +12,7 @@ from ray.data._internal.util import GiB from ray.data.aggregate import AggregateFn from ray.data.block import Block, BlockAccessor +from ray.data.context import DataContext if TYPE_CHECKING: from ray.data._internal.planner.exchange.sort_task_spec import SortKey diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 3ada3a7bd2ad..5345acd58ef1 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -26,13 +26,14 @@ import ray from ray import ObjectRef from ray.actor import ActorHandle -from ray.data import DataContext, ExecutionOptions, ExecutionResources from ray.data._internal.arrow_block import ArrowBlockBuilder from ray.data._internal.arrow_ops.transform_pyarrow import ( _create_empty_table, hash_partition, ) from ray.data._internal.execution.interfaces import ( + ExecutionOptions, + ExecutionResources, PhysicalOperator, RefBundle, ) @@ -56,6 +57,7 @@ BlockType, to_stats, ) +from ray.data.context import DataContext logger = logging.getLogger(__name__) diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 90c5fd808f15..9a3df514f6d1 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -4,7 +4,6 @@ from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.transform_pyarrow import _is_pa_extension_type -from ray.data import DataContext from ray.data._internal.arrow_block import ArrowBlockAccessor, ArrowBlockBuilder from ray.data._internal.arrow_ops.transform_pyarrow import ( MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES, @@ -18,6 +17,7 @@ from ray.data._internal.logical.operators.join_operator import JoinType from ray.data._internal.util import GiB from ray.data.block import Block +from ray.data.context import DataContext if TYPE_CHECKING: import pyarrow as pa diff --git a/python/ray/data/_internal/iterator/iterator_impl.py b/python/ray/data/_internal/iterator/iterator_impl.py index f76c9220ea90..919939a2f4af 100644 --- a/python/ray/data/_internal/iterator/iterator_impl.py +++ b/python/ray/data/_internal/iterator/iterator_impl.py @@ -8,7 +8,7 @@ if TYPE_CHECKING: import pyarrow - from ray.data import Dataset + from ray.data.dataset import Dataset class DataIteratorImpl(DataIterator): diff --git a/python/ray/data/_internal/iterator/stream_split_iterator.py b/python/ray/data/_internal/iterator/stream_split_iterator.py index 93f041994872..cd331dff6b6e 100644 --- a/python/ray/data/_internal/iterator/stream_split_iterator.py +++ b/python/ray/data/_internal/iterator/stream_split_iterator.py @@ -18,7 +18,7 @@ if TYPE_CHECKING: import pyarrow - from ray.data import Dataset + from ray.data.dataset import Dataset logger = logging.getLogger(__name__) diff --git a/python/ray/data/_internal/logical/interfaces/logical_plan.py b/python/ray/data/_internal/logical/interfaces/logical_plan.py index 3e0196bb440b..a972affdbd93 100644 --- a/python/ray/data/_internal/logical/interfaces/logical_plan.py +++ b/python/ray/data/_internal/logical/interfaces/logical_plan.py @@ -4,7 +4,7 @@ from .plan import Plan if TYPE_CHECKING: - from ray.data import DataContext + from ray.data.context import DataContext class LogicalPlan(Plan): diff --git a/python/ray/data/_internal/logical/interfaces/physical_plan.py b/python/ray/data/_internal/logical/interfaces/physical_plan.py index 29503831db85..6e6adb525229 100644 --- a/python/ray/data/_internal/logical/interfaces/physical_plan.py +++ b/python/ray/data/_internal/logical/interfaces/physical_plan.py @@ -4,8 +4,8 @@ from .plan import Plan if TYPE_CHECKING: - from ray.data import DataContext from ray.data._internal.execution.interfaces import PhysicalOperator + from ray.data.context import DataContext class PhysicalPlan(Plan): diff --git a/python/ray/data/_internal/logical/interfaces/plan.py b/python/ray/data/_internal/logical/interfaces/plan.py index 8dba60277071..a2cb31c0b59d 100644 --- a/python/ray/data/_internal/logical/interfaces/plan.py +++ b/python/ray/data/_internal/logical/interfaces/plan.py @@ -3,7 +3,7 @@ from .operator import Operator if TYPE_CHECKING: - from ray.data import DataContext + from ray.data.context import DataContext class Plan: diff --git a/python/ray/data/_internal/logical/operators/join_operator.py b/python/ray/data/_internal/logical/operators/join_operator.py index eeca27044f52..c88ed04aae78 100644 --- a/python/ray/data/_internal/logical/operators/join_operator.py +++ b/python/ray/data/_internal/logical/operators/join_operator.py @@ -5,7 +5,7 @@ from ray.data._internal.logical.operators.n_ary_operator import NAry if TYPE_CHECKING: - from ray.data import Schema + from ray.data.dataset import Schema class JoinType(Enum): diff --git a/python/ray/data/_internal/logical/operators/streaming_split_operator.py b/python/ray/data/_internal/logical/operators/streaming_split_operator.py index aca156395043..28263cb0d609 100644 --- a/python/ray/data/_internal/logical/operators/streaming_split_operator.py +++ b/python/ray/data/_internal/logical/operators/streaming_split_operator.py @@ -1,8 +1,10 @@ -from typing import List, Optional +from typing import TYPE_CHECKING, List, Optional -from ray.data import NodeIdStr from ray.data._internal.logical.interfaces import LogicalOperator +if TYPE_CHECKING: + from ray.data._internal.execution.interfaces import NodeIdStr + class StreamingSplit(LogicalOperator): """Logical operator that represents splitting the input data to `n` splits.""" @@ -12,7 +14,7 @@ def __init__( input_op: LogicalOperator, num_splits: int, equal: bool, - locality_hints: Optional[List[NodeIdStr]] = None, + locality_hints: Optional[List["NodeIdStr"]] = None, ): super().__init__("StreamingSplit", [input_op]) self._num_splits = num_splits diff --git a/python/ray/data/_internal/metadata_exporter.py b/python/ray/data/_internal/metadata_exporter.py index 59f90db33164..481ded093633 100644 --- a/python/ray/data/_internal/metadata_exporter.py +++ b/python/ray/data/_internal/metadata_exporter.py @@ -23,10 +23,10 @@ from ray.data.context import DataContext if TYPE_CHECKING: - from ray.data import DataContext from ray.data._internal.execution.interfaces.physical_operator import ( PhysicalOperator, ) + from ray.data.context import DataContext logger = logging.getLogger(__name__) diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index d536984701d7..fd43b450b7bd 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -175,7 +175,15 @@ def quantile( def unique(self) -> BlockColumn: pd = lazy_import_pandas() - return pd.Series(self._column.unique()) + try: + return pd.Series(self._column.unique()) + except ValueError as e: + if "buffer source array is read-only" in str(e): + # NOTE: Pandas < 2.0 somehow tries to update the underlying buffer + # when computing unique values hence failing + return pd.Series(self._column.copy().unique()) + else: + raise def flatten(self) -> BlockColumn: return self._column.list.flatten() diff --git a/python/ray/data/_internal/progress_bar.py b/python/ray/data/_internal/progress_bar.py index 34dfa305a5ea..210b0a0dd7a9 100644 --- a/python/ray/data/_internal/progress_bar.py +++ b/python/ray/data/_internal/progress_bar.py @@ -66,7 +66,7 @@ def __init__( unit = " " + unit if enabled is None: - from ray.data import DataContext + from ray.data.context import DataContext enabled = DataContext.get_current().enable_progress_bars if not enabled: diff --git a/python/ray/data/aggregate.py b/python/ray/data/aggregate.py index e67dc441613c..1feaf4c12af5 100644 --- a/python/ray/data/aggregate.py +++ b/python/ray/data/aggregate.py @@ -9,7 +9,7 @@ from ray.util.annotations import Deprecated, PublicAPI if TYPE_CHECKING: - from ray.data import Schema + from ray.data.dataset import Schema @Deprecated(message="AggregateFn is deprecated, please use AggregateFnV2") diff --git a/python/ray/data/preprocessor.py b/python/ray/data/preprocessor.py index e3f7ce37ee02..f628f97757a6 100644 --- a/python/ray/data/preprocessor.py +++ b/python/ray/data/preprocessor.py @@ -14,7 +14,7 @@ import pandas as pd from ray.air.data_batch_type import DataBatchType - from ray.data import Dataset + from ray.data.dataset import Dataset @PublicAPI(stability="beta") diff --git a/python/ray/data/preprocessors/chain.py b/python/ray/data/preprocessors/chain.py index 018612ab9abb..66b5eed5fd4b 100644 --- a/python/ray/data/preprocessors/chain.py +++ b/python/ray/data/preprocessors/chain.py @@ -1,11 +1,11 @@ from typing import TYPE_CHECKING, Optional from ray.air.util.data_batch_conversion import BatchFormat -from ray.data import Dataset from ray.data.preprocessor import Preprocessor if TYPE_CHECKING: from ray.air.data_batch_type import DataBatchType + from ray.data.dataset import Dataset class Chain(Preprocessor): @@ -68,25 +68,25 @@ def fit_status(self): def __init__(self, *preprocessors: Preprocessor): self.preprocessors = preprocessors - def _fit(self, ds: Dataset) -> Preprocessor: + def _fit(self, ds: "Dataset") -> Preprocessor: for preprocessor in self.preprocessors[:-1]: ds = preprocessor.fit_transform(ds) self.preprocessors[-1].fit(ds) return self - def fit_transform(self, ds: Dataset) -> Dataset: + def fit_transform(self, ds: "Dataset") -> "Dataset": for preprocessor in self.preprocessors: ds = preprocessor.fit_transform(ds) return ds def _transform( self, - ds: Dataset, + ds: "Dataset", batch_size: Optional[int], num_cpus: Optional[float] = None, memory: Optional[float] = None, concurrency: Optional[int] = None, - ) -> Dataset: + ) -> "Dataset": for preprocessor in self.preprocessors: ds = preprocessor.transform( ds, diff --git a/python/ray/data/preprocessors/discretizer.py b/python/ray/data/preprocessors/discretizer.py index 8338c59bb17a..2512a9fe22fe 100644 --- a/python/ray/data/preprocessors/discretizer.py +++ b/python/ray/data/preprocessors/discretizer.py @@ -1,13 +1,15 @@ -from typing import Dict, Iterable, List, Optional, Type, Union +from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Type, Union import numpy as np import pandas as pd -from ray.data import Dataset from ray.data.aggregate import Max, Min from ray.data.preprocessor import Preprocessor from ray.util.annotations import PublicAPI +if TYPE_CHECKING: + from ray.data.dataset import Dataset + class _AbstractKBinsDiscretizer(Preprocessor): """Abstract base class for all KBinsDiscretizers. @@ -305,7 +307,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: self._validate_on_fit() stats = {} aggregates = [] diff --git a/python/ray/data/preprocessors/encoder.py b/python/ray/data/preprocessors/encoder.py index 23d9f0f04d78..dd639e6ae3c9 100644 --- a/python/ray/data/preprocessors/encoder.py +++ b/python/ray/data/preprocessors/encoder.py @@ -1,16 +1,18 @@ from collections import Counter, OrderedDict from functools import partial -from typing import Dict, List, Optional +from typing import TYPE_CHECKING, Any, Dict, List, Optional import numpy as np import pandas as pd import pandas.api.types from ray.air.util.data_batch_conversion import BatchFormat -from ray.data import Dataset from ray.data.preprocessor import Preprocessor, PreprocessorNotFittedException from ray.util.annotations import PublicAPI +if TYPE_CHECKING: + from ray.data.dataset import Dataset + @PublicAPI(stability="alpha") class OrdinalEncoder(Preprocessor): @@ -113,7 +115,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: self.stats_ = _get_unique_value_indices( dataset, self.columns, encode_lists=self.encode_lists ) @@ -257,7 +259,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: self.stats_ = _get_unique_value_indices( dataset, self.columns, @@ -268,7 +270,6 @@ def _fit(self, dataset: Dataset) -> Preprocessor: def _transform_pandas(self, df: pd.DataFrame): _validate_df(df, *self.columns) - from typing import Any def safe_get(v: Any, stats: Dict[str, int]): from collections.abc import Hashable @@ -405,7 +406,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: self.stats_ = _get_unique_value_indices( dataset, self.columns, @@ -509,7 +510,7 @@ def __init__(self, label_column: str, *, output_column: Optional[str] = None): self.label_column = label_column self.output_column = output_column or label_column - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: self.stats_ = _get_unique_value_indices(dataset, [self.label_column]) return self @@ -645,7 +646,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: columns_to_get = [ column for column in self.columns if column not in set(self.dtypes) ] @@ -675,7 +676,7 @@ def __repr__(self): def _get_unique_value_indices( - dataset: Dataset, + dataset: "Dataset", columns: List[str], drop_na_values: bool = False, key_format: str = "unique_values({0})", diff --git a/python/ray/data/preprocessors/imputer.py b/python/ray/data/preprocessors/imputer.py index c388cca14230..aeccda0ced06 100644 --- a/python/ray/data/preprocessors/imputer.py +++ b/python/ray/data/preprocessors/imputer.py @@ -1,16 +1,18 @@ from collections import Counter from numbers import Number -from typing import Dict, List, Optional, Union +from typing import TYPE_CHECKING, Dict, List, Optional, Union import numpy as np import pandas as pd from pandas.api.types import is_categorical_dtype -from ray.data import Dataset from ray.data.aggregate import Mean from ray.data.preprocessor import Preprocessor from ray.util.annotations import PublicAPI +if TYPE_CHECKING: + from ray.data.dataset import Dataset + @PublicAPI(stability="alpha") class SimpleImputer(Preprocessor): @@ -129,7 +131,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: if self.strategy == "mean": aggregates = [Mean(col) for col in self.columns] self.stats_ = dataset.aggregate(*aggregates) @@ -192,7 +194,7 @@ def __repr__(self): def _get_most_frequent_values( - dataset: Dataset, *columns: str + dataset: "Dataset", *columns: str ) -> Dict[str, Union[str, Number]]: columns = list(columns) diff --git a/python/ray/data/preprocessors/scaler.py b/python/ray/data/preprocessors/scaler.py index 3771db0e296c..9fac5ca8231e 100644 --- a/python/ray/data/preprocessors/scaler.py +++ b/python/ray/data/preprocessors/scaler.py @@ -1,13 +1,15 @@ -from typing import List, Optional, Tuple +from typing import TYPE_CHECKING, List, Optional, Tuple import numpy as np import pandas as pd -from ray.data import Dataset from ray.data.aggregate import AbsMax, Max, Mean, Min, Std from ray.data.preprocessor import Preprocessor from ray.util.annotations import PublicAPI +if TYPE_CHECKING: + from ray.data.dataset import Dataset + @PublicAPI(stability="alpha") class StandardScaler(Preprocessor): @@ -84,7 +86,7 @@ def __init__(self, columns: List[str], output_columns: Optional[List[str]] = Non columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: mean_aggregates = [Mean(col) for col in self.columns] std_aggregates = [Std(col, ddof=0) for col in self.columns] self.stats_ = dataset.aggregate(*mean_aggregates, *std_aggregates) @@ -184,7 +186,7 @@ def __init__(self, columns: List[str], output_columns: Optional[List[str]] = Non columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: aggregates = [Agg(col) for Agg in [Min, Max] for col in self.columns] self.stats_ = dataset.aggregate(*aggregates) return self @@ -276,7 +278,7 @@ def __init__(self, columns: List[str], output_columns: Optional[List[str]] = Non columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: aggregates = [AbsMax(col) for col in self.columns] self.stats_ = dataset.aggregate(*aggregates) return self @@ -382,7 +384,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: low = self.quantile_range[0] med = 0.50 high = self.quantile_range[1] @@ -403,7 +405,7 @@ def _fit(self, dataset: Dataset) -> Preprocessor: sorted_dataset = filtered_dataset.sort(col) _, low, med, high = sorted_dataset.split_at_indices(split_indices) - def _get_first_value(ds: Dataset, c: str): + def _get_first_value(ds: "Dataset", c: str): return ds.take(1)[0][c] low_val = _get_first_value(low, col) diff --git a/python/ray/data/preprocessors/vectorizer.py b/python/ray/data/preprocessors/vectorizer.py index ab698b5ed4a4..115cecc240f9 100644 --- a/python/ray/data/preprocessors/vectorizer.py +++ b/python/ray/data/preprocessors/vectorizer.py @@ -1,13 +1,15 @@ from collections import Counter -from typing import Callable, List, Optional +from typing import TYPE_CHECKING, Callable, List, Optional import pandas as pd -from ray.data import Dataset from ray.data.preprocessor import Preprocessor from ray.data.preprocessors.utils import simple_hash, simple_split_tokenizer from ray.util.annotations import PublicAPI +if TYPE_CHECKING: + from ray.data.dataset import Dataset + @PublicAPI(stability="alpha") class HashingVectorizer(Preprocessor): @@ -253,7 +255,7 @@ def __init__( columns, output_columns ) - def _fit(self, dataset: Dataset) -> Preprocessor: + def _fit(self, dataset: "Dataset") -> Preprocessor: def get_pd_value_counts(df: pd.DataFrame) -> List[Counter]: def get_token_counts(col): token_series = df[col].apply(self.tokenization_fn) diff --git a/python/ray/data/random_access_dataset.py b/python/ray/data/random_access_dataset.py index 309c55824ece..90bc4d89bc6e 100644 --- a/python/ray/data/random_access_dataset.py +++ b/python/ray/data/random_access_dataset.py @@ -23,7 +23,7 @@ pa = None if TYPE_CHECKING: - from ray.data import Dataset + from ray.data.dataset import Dataset logger = logging.getLogger(__name__) diff --git a/python/ray/data/tests/test_arrow_block.py b/python/ray/data/tests/test_arrow_block.py index f599bfc58ee5..5660ca205462 100644 --- a/python/ray/data/tests/test_arrow_block.py +++ b/python/ray/data/tests/test_arrow_block.py @@ -16,7 +16,6 @@ from ray.air.util.tensor_extensions.arrow import ( ArrowTensorArray, ) -from ray.data import DataContext from ray.data._internal.arrow_block import ( ArrowBlockAccessor, ArrowBlockBuilder, @@ -26,6 +25,7 @@ from ray.data._internal.arrow_ops.transform_pyarrow import combine_chunked_array from ray.data._internal.util import GiB, MiB from ray.data.block import BlockAccessor +from ray.data.context import DataContext from ray.data.extensions.object_extension import _object_extension_type_allowed diff --git a/python/ray/data/tests/test_block_sizing.py b/python/ray/data/tests/test_block_sizing.py index 9f67d649c810..587129d4829f 100644 --- a/python/ray/data/tests/test_block_sizing.py +++ b/python/ray/data/tests/test_block_sizing.py @@ -1,8 +1,8 @@ import pytest import ray -from ray.data import Dataset from ray.data.context import DataContext +from ray.data.dataset import Dataset from ray.data.tests.conftest import * # noqa from ray.data.tests.conftest import ( assert_blocks_expected_in_plasma, diff --git a/python/ray/data/tests/test_delta_sharing.py b/python/ray/data/tests/test_delta_sharing.py index c04dfcf4c224..8407c31935ff 100644 --- a/python/ray/data/tests/test_delta_sharing.py +++ b/python/ray/data/tests/test_delta_sharing.py @@ -7,12 +7,12 @@ from delta_sharing.protocol import Table from delta_sharing.rest_client import DataSharingRestClient -from ray.data import Dataset from ray.data._internal.datasource.delta_sharing_datasource import ( DeltaSharingDatasource, _parse_delta_sharing_url, ) from ray.data.block import BlockMetadata +from ray.data.dataset import Dataset from ray.data.datasource.datasource import ReadTask from ray.data.read_api import read_delta_sharing_tables diff --git a/python/ray/data/tests/test_dynamic_block_split.py b/python/ray/data/tests/test_dynamic_block_split.py index e80aabbf00b3..6a4851b9656f 100644 --- a/python/ray/data/tests/test_dynamic_block_split.py +++ b/python/ray/data/tests/test_dynamic_block_split.py @@ -9,10 +9,10 @@ import pytest import ray -from ray.data import Dataset from ray.data._internal.arrow_block import ArrowBlockBuilder from ray.data._internal.datasource.csv_datasource import CSVDatasource from ray.data.block import BlockMetadata +from ray.data.dataset import Dataset from ray.data.datasource import Datasource from ray.data.datasource.datasource import ReadTask from ray.data.tests.conftest import ( diff --git a/python/ray/data/tests/test_join.py b/python/ray/data/tests/test_join.py index 2973a0f05c40..27935db52858 100644 --- a/python/ray/data/tests/test_join.py +++ b/python/ray/data/tests/test_join.py @@ -8,11 +8,12 @@ import ray from ray._private.arrow_utils import get_pyarrow_version -from ray.data import DataContext, Dataset from ray.data._internal.execution.interfaces import PhysicalOperator from ray.data._internal.execution.operators.join import JoinOperator from ray.data._internal.logical.operators.join_operator import JoinType from ray.data._internal.util import GiB, MiB +from ray.data.context import DataContext +from ray.data.dataset import Dataset from ray.exceptions import RayTaskError from ray.tests.conftest import * # noqa diff --git a/python/ray/data/tests/test_jumbo_arrow_block.py b/python/ray/data/tests/test_jumbo_arrow_block.py index ba7fd0b586d3..e3961c1ea831 100644 --- a/python/ray/data/tests/test_jumbo_arrow_block.py +++ b/python/ray/data/tests/test_jumbo_arrow_block.py @@ -8,8 +8,8 @@ from pyarrow import parquet as pq import ray -from ray.data import DataContext from ray.data._internal.util import GiB, MiB +from ray.data.context import DataContext from ray.tests.conftest import _ray_start diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 4ab1cfeb6c1f..52383443f253 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -22,7 +22,6 @@ from ray._common.test_utils import wait_for_condition from ray._private.arrow_utils import get_pyarrow_version from ray._private.test_utils import run_string_as_driver -from ray.data import Dataset from ray.data._internal.arrow_ops.transform_pyarrow import ( MIN_PYARROW_VERSION_TYPE_PROMOTION, ) @@ -31,6 +30,7 @@ _MapActorContext, ) from ray.data.context import DataContext +from ray.data.dataset import Dataset from ray.data.datatype import DataType from ray.data.exceptions import UserCodeException from ray.data.expressions import col, lit, udf diff --git a/python/ray/data/tests/test_numpy.py b/python/ray/data/tests/test_numpy.py index fa6a26fd404a..e95a81b863f6 100644 --- a/python/ray/data/tests/test_numpy.py +++ b/python/ray/data/tests/test_numpy.py @@ -7,7 +7,8 @@ import ray from ray.air.util.tensor_extensions.arrow import ArrowTensorTypeV2 -from ray.data import DataContext, Schema +from ray.data.context import DataContext +from ray.data.dataset import Schema from ray.data.datasource import ( BaseFileMetadataProvider, FastFileMetadataProvider, diff --git a/python/ray/data/tests/test_numpy_support.py b/python/ray/data/tests/test_numpy_support.py index 70cb6fb2f3ec..49731d612a2c 100644 --- a/python/ray/data/tests/test_numpy_support.py +++ b/python/ray/data/tests/test_numpy_support.py @@ -7,7 +7,7 @@ import ray from ray.air.util.tensor_extensions.utils import create_ragged_ndarray -from ray.data import DataContext +from ray.data.context import DataContext from ray.data.tests.conftest import * # noqa from ray.tests.conftest import * # noqa diff --git a/python/ray/data/tests/test_operator_fusion.py b/python/ray/data/tests/test_operator_fusion.py index 31305c551646..a01f6b3c898e 100644 --- a/python/ray/data/tests/test_operator_fusion.py +++ b/python/ray/data/tests/test_operator_fusion.py @@ -4,7 +4,6 @@ import pytest import ray -from ray.data import Dataset from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer from ray.data._internal.execution.operators.map_operator import MapOperator from ray.data._internal.execution.operators.map_transformer import ( @@ -26,6 +25,7 @@ from ray.data._internal.planner import create_planner from ray.data._internal.stats import DatasetStats from ray.data.context import DataContext +from ray.data.dataset import Dataset from ray.data.tests.conftest import * # noqa from ray.data.tests.test_util import _check_usage_record, get_parquet_read_logical_op from ray.data.tests.util import column_udf, extract_values diff --git a/python/ray/data/tests/test_optimize.py b/python/ray/data/tests/test_optimize.py index 84da3b4eeb58..ed0cb63c1f8b 100644 --- a/python/ray/data/tests/test_optimize.py +++ b/python/ray/data/tests/test_optimize.py @@ -7,9 +7,9 @@ import ray from ray._private.internal_api import memory_summary -from ray.data import Dataset from ray.data._internal.datasource.csv_datasource import CSVDatasource from ray.data.block import BlockMetadata +from ray.data.dataset import Dataset from ray.data.datasource import Datasource, ReadTask from ray.data.tests.util import column_udf, extract_values from ray.tests.conftest import * # noqa diff --git a/python/ray/data/tests/test_sort.py b/python/ray/data/tests/test_sort.py index 7467b86c9f02..fc7268bcfb17 100644 --- a/python/ray/data/tests/test_sort.py +++ b/python/ray/data/tests/test_sort.py @@ -8,13 +8,13 @@ import pytest import ray -from ray.data import Dataset from ray.data._internal.planner.exchange.push_based_shuffle_task_scheduler import ( PushBasedShuffleTaskScheduler, ) from ray.data._internal.planner.exchange.sort_task_spec import SortKey, SortTaskSpec from ray.data.block import BlockAccessor from ray.data.context import DataContext, ShuffleStrategy +from ray.data.dataset import Dataset from ray.data.tests.conftest import * # noqa from ray.data.tests.util import extract_values from ray.tests.conftest import * # noqa diff --git a/python/ray/data/tests/test_state_export.py b/python/ray/data/tests/test_state_export.py index 4bacfbbb6ffe..668c6cbe4412 100644 --- a/python/ray/data/tests/test_state_export.py +++ b/python/ray/data/tests/test_state_export.py @@ -6,7 +6,6 @@ import pytest import ray -from ray.data import DataContext from ray.data._internal.execution.dataset_state import DatasetState from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.metadata_exporter import ( @@ -16,6 +15,7 @@ sanitize_for_struct, ) from ray.data._internal.stats import _get_or_create_stats_actor +from ray.data.context import DataContext from ray.tests.conftest import _ray_start STUB_JOB_ID = "stub_job_id" diff --git a/python/ray/data/tests/test_strict_mode.py b/python/ray/data/tests/test_strict_mode.py index 10c11c8bfd9e..cb96898d4571 100644 --- a/python/ray/data/tests/test_strict_mode.py +++ b/python/ray/data/tests/test_strict_mode.py @@ -227,7 +227,7 @@ def test_strict_schema(ray_start_regular_shared): assert schema.names == ["data"] from ray.air.util.tensor_extensions.arrow import ArrowTensorTypeV2 - from ray.data import DataContext + from ray.data.context import DataContext if DataContext.get_current().use_arrow_tensor_v2: expected_arrow_ext_type = ArrowTensorTypeV2(shape=(10,), dtype=pa.float64()) diff --git a/python/ray/data/tests/test_tensor.py b/python/ray/data/tests/test_tensor.py index ad86e69dbe55..282a5ec92b40 100644 --- a/python/ray/data/tests/test_tensor.py +++ b/python/ray/data/tests/test_tensor.py @@ -8,8 +8,9 @@ import ray from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray -from ray.data import DataContext, Schema from ray.data.block import BlockAccessor +from ray.data.context import DataContext +from ray.data.dataset import Schema from ray.data.extensions.tensor_extension import ( ArrowTensorArray, ArrowTensorType, diff --git a/python/ray/data/tests/test_tfrecords.py b/python/ray/data/tests/test_tfrecords.py index 31c355f95db3..d79807f15747 100644 --- a/python/ray/data/tests/test_tfrecords.py +++ b/python/ray/data/tests/test_tfrecords.py @@ -9,8 +9,8 @@ from pandas.api.types import is_float_dtype, is_int64_dtype, is_object_dtype import ray -from ray.data import Dataset from ray.data._internal.datasource.tfrecords_datasource import TFXReadOptions +from ray.data.dataset import Dataset from ray.tests.conftest import * # noqa: F401,F403 if TYPE_CHECKING: diff --git a/python/ray/data/tests/test_transform_pyarrow.py b/python/ray/data/tests/test_transform_pyarrow.py index 6cefc62ce113..f809f70adb74 100644 --- a/python/ray/data/tests/test_transform_pyarrow.py +++ b/python/ray/data/tests/test_transform_pyarrow.py @@ -11,7 +11,6 @@ import ray from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.tensor_extensions.arrow import ArrowTensorTypeV2 -from ray.data import DataContext from ray.data._internal.arrow_ops.transform_pyarrow import ( MIN_PYARROW_VERSION_TYPE_PROMOTION, _align_struct_fields, @@ -22,6 +21,7 @@ unify_schemas, ) from ray.data.block import BlockAccessor +from ray.data.context import DataContext from ray.data.extensions import ( ArrowConversionError, ArrowPythonObjectArray, From 950731ffd27ede9bc426d9f38d56081f8659aa3d Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Fri, 19 Sep 2025 17:04:18 -0700 Subject: [PATCH 1307/1566] [serve] Refactor how replica handles ongoing requests metric (#56756) Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index 9fc0111397c4..bcfeebe52b3f 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -299,15 +299,15 @@ def start_metrics_pusher(self): ), ) + def should_collect_ongoing_requests(self) -> bool: + return not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE + def set_autoscaling_config(self, autoscaling_config: Optional[AutoscalingConfig]): """Dynamically update autoscaling config.""" self._autoscaling_config = autoscaling_config - if ( - self._autoscaling_config - and not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE - ): + if self._autoscaling_config and self.should_collect_ongoing_requests(): self.start_metrics_pusher() def enable_custom_autoscaling_metrics( @@ -359,7 +359,7 @@ def _push_autoscaling_metrics(self) -> Dict[str, Any]: new_aggregated_metrics = {} new_metrics = {**self._metrics_store.data} - if not RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: + if self.should_collect_ongoing_requests(): # Keep the legacy window_avg ongoing requests in the merged metrics dict window_avg = ( self._metrics_store.aggregate_avg([RUNNING_REQUESTS_KEY])[0] or 0.0 @@ -434,9 +434,8 @@ async def _fetch_custom_autoscaling_metrics( return None async def _add_autoscaling_metrics_point_async(self) -> None: - if RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE: - metrics_dict = {} - else: + metrics_dict = {} + if self.should_collect_ongoing_requests(): metrics_dict = {RUNNING_REQUESTS_KEY: self._num_ongoing_requests} # Use cached availability flag to avoid repeated runtime checks From a10c11d0280b3717712a1b0a6ccaddf946fb83a4 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Fri, 19 Sep 2025 17:38:31 -0700 Subject: [PATCH 1308/1566] [core] Remove fakes directory (#56758) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- BUILD.bazel | 14 ---------- .../ray/object_manager/plasma/BUILD.bazel | 12 --------- src/fakes/ray/rpc/raylet/BUILD.bazel | 13 --------- src/fakes/ray/rpc/worker/BUILD.bazel | 10 ------- src/ray/common/BUILD.bazel | 12 +++++++++ .../ray/common/asio/fake_periodical_runner.h | 0 .../task_submission/tests/BUILD.bazel | 3 +-- .../tests/normal_task_submitter_test.cc | 2 +- src/ray/core_worker/tests/BUILD.bazel | 18 ++++++------- src/ray/core_worker/tests/core_worker_test.cc | 8 +++--- .../tests/mutable_object_provider_test.cc | 2 +- .../tests/object_recovery_manager_test.cc | 4 +-- .../core_worker/tests/reference_count_test.cc | 2 +- .../core_worker/tests/task_manager_test.cc | 2 +- src/ray/gcs/tests/BUILD.bazel | 16 +++++------ .../gcs_node_manager_export_event_test.cc | 2 +- src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 4 +-- .../gcs_autoscaler_state_manager_test.cc | 2 +- src/ray/gcs/tests/gcs_node_manager_test.cc | 2 +- .../gcs_placement_group_scheduler_test.cc | 2 +- src/ray/gcs/tests/gcs_server_test_util.h | 2 +- src/ray/object_manager/plasma/BUILD.bazel | 15 +++++++++++ .../plasma/fake_plasma_client.h | 0 src/ray/object_manager/tests/BUILD.bazel | 4 +-- .../tests/object_manager_test.cc | 2 +- .../tests/ownership_object_directory_test.cc | 2 +- src/ray/pubsub/BUILD.bazel | 21 +++++++++++++++ .../pubsub/fake_publisher.h} | 6 +++-- .../pubsub/fake_subscriber.h} | 3 +++ src/ray/raylet/tests/BUILD.bazel | 6 ++--- src/ray/raylet/tests/node_manager_test.cc | 6 ++--- src/ray/rpc/BUILD.bazel | 27 +++++++++++++++++++ .../rpc/raylet/fake_raylet_client.h} | 1 + src/ray/rpc/raylet/tests/BUILD.bazel | 2 +- .../raylet/tests/raylet_client_pool_test.cc | 2 +- .../rpc/worker/fake_core_worker_client.h} | 3 +++ 36 files changed, 132 insertions(+), 100 deletions(-) delete mode 100644 src/fakes/ray/object_manager/plasma/BUILD.bazel delete mode 100644 src/fakes/ray/rpc/raylet/BUILD.bazel delete mode 100644 src/fakes/ray/rpc/worker/BUILD.bazel rename src/{fakes => }/ray/common/asio/fake_periodical_runner.h (100%) rename src/{fakes => }/ray/object_manager/plasma/fake_plasma_client.h (100%) rename src/{fakes/ray/pubsub/publisher.h => ray/pubsub/fake_publisher.h} (92%) rename src/{fakes/ray/pubsub/subscriber.h => ray/pubsub/fake_subscriber.h} (98%) rename src/{fakes/ray/rpc/raylet/raylet_client.h => ray/rpc/raylet/fake_raylet_client.h} (99%) rename src/{fakes/ray/rpc/worker/core_worker_client.h => ray/rpc/worker/fake_core_worker_client.h} (98%) diff --git a/BUILD.bazel b/BUILD.bazel index b9417fc15bf9..9c94c72feb38 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -123,20 +123,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "ray_fakes", - # NOTE(edoakes): we are moving towards fine-grained mock and fake targets. - # Do not include new files in this target, instead make a BUILD.bazel file - # in the subdirectory and exclude it here. - hdrs = glob( - ["src/fakes/**/*.h"], - ), - deps = [ - "//src/ray/common:asio", - "//src/ray/rpc:raylet_client_interface", - ], -) - ray_cc_library( name = "ray_mock_syncer", hdrs = ["src/mock/ray/common/ray_syncer/ray_syncer.h"], diff --git a/src/fakes/ray/object_manager/plasma/BUILD.bazel b/src/fakes/ray/object_manager/plasma/BUILD.bazel deleted file mode 100644 index 86e70b439f83..000000000000 --- a/src/fakes/ray/object_manager/plasma/BUILD.bazel +++ /dev/null @@ -1,12 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "fake_plasma_client", - hdrs = ["fake_plasma_client.h"], - deps = [ - "//src/ray/common:buffer", - "//src/ray/common:id", - "//src/ray/common:status", - "//src/ray/object_manager/plasma:plasma_client_interface", - ], -) diff --git a/src/fakes/ray/rpc/raylet/BUILD.bazel b/src/fakes/ray/rpc/raylet/BUILD.bazel deleted file mode 100644 index 6a41c763960d..000000000000 --- a/src/fakes/ray/rpc/raylet/BUILD.bazel +++ /dev/null @@ -1,13 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "fake_raylet_client", - hdrs = ["raylet_client.h"], - deps = [ - "//src/ray/common:id", - "//src/ray/common:status", - "//src/ray/common/scheduling:scheduling_ids", - "//src/ray/rpc:client_call", - "//src/ray/rpc:raylet_client_interface", - ], -) diff --git a/src/fakes/ray/rpc/worker/BUILD.bazel b/src/fakes/ray/rpc/worker/BUILD.bazel deleted file mode 100644 index b5bd45196c99..000000000000 --- a/src/fakes/ray/rpc/worker/BUILD.bazel +++ /dev/null @@ -1,10 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "fake_core_worker_client", - hdrs = ["core_worker_client.h"], - deps = [ - "//src/ray/rpc:core_worker_client", - "@com_google_absl//absl/synchronization", - ], -) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index f23c1e24ad6b..bcb3183bfb48 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -289,6 +289,18 @@ ray_cc_library( ], ) +ray_cc_library( + name = "fake_periodical_runner", + hdrs = [ + "asio/fake_periodical_runner.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":asio", + "@boost//:asio", + ], +) + ray_cc_library( name = "event_stats", srcs = [ diff --git a/src/fakes/ray/common/asio/fake_periodical_runner.h b/src/ray/common/asio/fake_periodical_runner.h similarity index 100% rename from src/fakes/ray/common/asio/fake_periodical_runner.h rename to src/ray/common/asio/fake_periodical_runner.h diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index b2cf928329af..c48789ef30a9 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -65,15 +65,14 @@ ray_cc_test( srcs = ["normal_task_submitter_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:fake_raylet_client", "//src/ray/rpc:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index e3eeab9a0a3b..420af33bae8d 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -22,7 +22,6 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/memory_store.h" #include "mock/ray/core_worker/task_manager_interface.h" @@ -31,6 +30,7 @@ #include "ray/common/test_utils.h" #include "ray/core_worker/fake_actor_creator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/worker/core_worker_client.h" diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index c4366aa3297c..d1e54d0a2706 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -47,11 +47,11 @@ ray_cc_test( srcs = ["reference_count_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", + "//src/ray/pubsub:fake_subscriber", "//src/ray/pubsub:publisher", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", @@ -67,14 +67,14 @@ ray_cc_test( srcs = ["object_recovery_manager_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", + "//src/ray/pubsub:fake_subscriber", + "//src/ray/rpc:fake_raylet_client", "//src/ray/rpc:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -87,7 +87,6 @@ ray_cc_test( srcs = ["task_manager_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:task_common", @@ -98,6 +97,7 @@ ray_cc_test( "//src/ray/core_worker:task_manager", "//src/ray/gcs_client", "//src/ray/observability:fake_metric", + "//src/ray/pubsub:fake_subscriber", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -220,13 +220,12 @@ ray_cc_test( "//conditions:default": ["@platforms//:incompatible"], }), deps = [ - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/object_manager:object_manager_common", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/object_manager/plasma:plasma_store_server_lib", + "//src/ray/rpc:fake_raylet_client", "@com_google_absl//absl/functional:bind_front", "@com_google_absl//absl/random", "@com_google_absl//absl/strings:str_format", @@ -241,17 +240,18 @@ ray_cc_test( srcs = ["core_worker_test.cc"], tags = ["team:core"], deps = [ - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/object_manager/plasma:fake_plasma_client", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", + "//src/ray/common:fake_periodical_runner", "//src/ray/common:test_utils", "//src/ray/core_worker:core_worker_lib", "//src/ray/core_worker:grpc_service", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", "//src/ray/ipc:fake_raylet_ipc_client", + "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/observability:fake_metric", + "//src/ray/pubsub:fake_subscriber", + "//src/ray/rpc:fake_raylet_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index ebce8170f117..e9328a9eb669 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -26,12 +26,9 @@ #include "absl/container/flat_hash_set.h" #include "absl/time/clock.h" -#include "fakes/ray/common/asio/fake_periodical_runner.h" -#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" -#include "fakes/ray/pubsub/subscriber.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/gcs_client/gcs_client.h" #include "mock/ray/object_manager/plasma/client.h" +#include "ray/common/asio/fake_periodical_runner.h" #include "ray/common/buffer.h" #include "ray/common/ray_config.h" #include "ray/core_worker/actor_creator.h" @@ -47,8 +44,11 @@ #include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" #include "ray/ipc/fake_raylet_ipc_client.h" +#include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/observability/fake_metric.h" +#include "ray/pubsub/fake_subscriber.h" #include "ray/pubsub/publisher.h" +#include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/core_worker/tests/mutable_object_provider_test.cc b/src/ray/core_worker/tests/mutable_object_provider_test.cc index eb4ea42f394f..2a4d12ebd56d 100644 --- a/src/ray/core_worker/tests/mutable_object_provider_test.cc +++ b/src/ray/core_worker/tests/mutable_object_provider_test.cc @@ -21,13 +21,13 @@ #include "absl/functional/bind_front.h" #include "absl/random/random.h" #include "absl/strings/str_format.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/object_manager/plasma/client.h" #include "ray/core_worker/experimental_mutable_object_provider.h" #include "ray/object_manager/common.h" #include "ray/object_manager/plasma/client.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 68ecc7bedf6d..2382cc845866 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -20,14 +20,14 @@ #include #include -#include "fakes/ray/pubsub/subscriber.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/core_worker/task_manager_interface.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/pubsub/fake_subscriber.h" +#include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 0686db4837f9..01003a63ed23 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -20,7 +20,6 @@ #include #include "absl/functional/bind_front.h" -#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/pubsub/publisher.h" @@ -28,6 +27,7 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/ray_object.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/pubsub/fake_subscriber.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/publisher_interface.h" #include "ray/pubsub/subscriber_interface.h" diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index a42895f64858..ad2a9596e493 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -20,7 +20,6 @@ #include #include -#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/gcs_client/gcs_client.h" @@ -32,6 +31,7 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/observability/fake_metric.h" +#include "ray/pubsub/fake_subscriber.h" namespace ray { namespace core { diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index 2bf37953e315..79285f4d7abe 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -106,13 +106,12 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:ray_fakes", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:fake_raylet_client", "@com_google_googletest//:gtest_main", ], ) @@ -184,8 +183,6 @@ ray_cc_test( "team:core", ], deps = [ - "//src/fakes/ray/rpc/raylet:fake_raylet_client", - "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/gcs:gcs_node_manager", @@ -195,6 +192,8 @@ ray_cc_test( "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:fake_core_worker_client", + "//src/ray/rpc:fake_raylet_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -208,8 +207,6 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//src/fakes/ray/rpc/raylet:fake_raylet_client", - "//src/fakes/ray/rpc/worker:fake_core_worker_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/gcs:gcs_actor", @@ -217,6 +214,8 @@ ray_cc_test( "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:fake_core_worker_client", + "//src/ray/rpc:fake_raylet_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -338,9 +337,7 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:asio", "//src/ray/common:protobuf_utils", "//src/ray/common:test_utils", @@ -349,6 +346,7 @@ ray_cc_test( "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs:gcs_store_client_kv", "//src/ray/raylet/scheduling:cluster_resource_manager", + "//src/ray/rpc:fake_raylet_client", "@com_google_googletest//:gtest_main", ], ) @@ -440,12 +438,12 @@ ray_cc_test( "team:core", ], deps = [ - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:fake_raylet_client", "//src/ray/util:string_utils", "@com_google_googletest//:gtest", ], diff --git a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc index b453dd6e0f2f..cba05706eb42 100644 --- a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc @@ -21,12 +21,12 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index 6142bcb60bc4..2ab61dc75b5d 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -22,8 +22,6 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" -#include "fakes/ray/rpc/worker/core_worker_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" #include "ray/common/test_utils.h" @@ -32,6 +30,8 @@ #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/counter_map.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index ca07d5a72ab5..703280a8e931 100644 --- a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -25,7 +25,6 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/gcs/gcs_actor_manager.h" #include "mock/ray/gcs/gcs_node_manager.h" #include "mock/ray/gcs/gcs_placement_group_manager.h" @@ -38,6 +37,7 @@ #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client_kv.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index b8e78a6cc9c6..ce6ee96944a0 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -20,12 +20,12 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/ray_config.h" #include "ray/common/test_utils.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray { class GcsNodeManagerTest : public ::testing::Test { diff --git a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index 68a2fba93bdd..8baf054e1b99 100644 --- a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -22,7 +22,6 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" @@ -33,6 +32,7 @@ #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" +#include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/util/counter_map.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_server_test_util.h b/src/ray/gcs/tests/gcs_server_test_util.h index 1b4ff40714a4..63ff4300a6f0 100644 --- a/src/ray/gcs/tests/gcs_server_test_util.h +++ b/src/ray/gcs/tests/gcs_server_test_util.h @@ -22,7 +22,6 @@ #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/lease/lease.h" #include "ray/common/task/task_util.h" @@ -34,6 +33,7 @@ #include "ray/gcs/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray { diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index ea88fcbe1501..0ceb1326c8a1 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -51,6 +51,21 @@ ray_cc_library( ], ) +ray_cc_library( + name = "fake_plasma_client", + hdrs = [ + "fake_plasma_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":plasma_client_interface", + "//src/ray/common:buffer", + "//src/ray/common:id", + "//src/ray/common:status", + "@com_google_absl//absl/container:flat_hash_map", + ], +) + ray_cc_library( name = "plasma_client_interface", hdrs = ["client.h"], diff --git a/src/fakes/ray/object_manager/plasma/fake_plasma_client.h b/src/ray/object_manager/plasma/fake_plasma_client.h similarity index 100% rename from src/fakes/ray/object_manager/plasma/fake_plasma_client.h rename to src/ray/object_manager/plasma/fake_plasma_client.h diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index 437d4c81b4af..aaf94398fe3a 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -36,8 +36,8 @@ ray_cc_test( ], tags = ["team:core"], deps = [ - "//:ray_fakes", "//src/ray/object_manager:ownership_object_directory", + "//src/ray/pubsub:fake_subscriber", "@com_google_googletest//:gtest_main", ], ) @@ -113,8 +113,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/fakes/ray/object_manager/plasma:fake_plasma_client", "//src/ray/object_manager", + "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/rpc/object_manager:fake_object_manager_client", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc index 63049ff4023f..cc4310f36abd 100644 --- a/src/ray/object_manager/tests/object_manager_test.cc +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -19,7 +19,6 @@ #include #include -#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/gcs_client/gcs_client.h" @@ -30,6 +29,7 @@ #include "ray/common/ray_object.h" #include "ray/common/status.h" #include "ray/object_manager/common.h" +#include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/rpc/object_manager/fake_object_manager_client.h" namespace ray { diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index ce1a7d54ceda..6cb2b6fa504b 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -21,13 +21,13 @@ #include #include -#include "fakes/ray/pubsub/subscriber.h" #include "gmock/gmock.h" #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/gcs_client.h" +#include "ray/pubsub/fake_subscriber.h" namespace ray { diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 302f799ce1c3..1fd20d08590a 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -55,6 +55,27 @@ ray_cc_library( ], ) +ray_cc_library( + name = "fake_subscriber", + hdrs = ["fake_subscriber.h"], + visibility = ["//visibility:public"], + deps = [ + ":subscriber_interface", + "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/rpc:client_call", + ], +) + +ray_cc_library( + name = "fake_publisher", + hdrs = ["fake_publisher.h"], + visibility = ["//visibility:public"], + deps = [ + ":publisher_interface", + "//src/ray/common:asio", + ], +) + ray_cc_library( name = "gcs_publisher", srcs = ["gcs_publisher.cc"], diff --git a/src/fakes/ray/pubsub/publisher.h b/src/ray/pubsub/fake_publisher.h similarity index 92% rename from src/fakes/ray/pubsub/publisher.h rename to src/ray/pubsub/fake_publisher.h index fe10bc02550c..48527d7366bf 100644 --- a/src/fakes/ray/pubsub/publisher.h +++ b/src/ray/pubsub/fake_publisher.h @@ -14,12 +14,14 @@ #pragma once -#include "ray/pubsub/publisher.h" +#include + +#include "ray/pubsub/publisher_interface.h" namespace ray { namespace pubsub { -class FakePublisher : public Publisher { +class FakePublisher : public PublisherInterface { public: void RegisterSubscription(const rpc::ChannelType channel_type, const UniqueID &subscriber_id, diff --git a/src/fakes/ray/pubsub/subscriber.h b/src/ray/pubsub/fake_subscriber.h similarity index 98% rename from src/fakes/ray/pubsub/subscriber.h rename to src/ray/pubsub/fake_subscriber.h index ad80dc0cdb50..a48d6b1f8e4b 100644 --- a/src/fakes/ray/pubsub/subscriber.h +++ b/src/ray/pubsub/fake_subscriber.h @@ -14,6 +14,9 @@ #pragma once +#include +#include + #include "ray/pubsub/subscriber_interface.h" namespace ray { diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index f0891cb5c4a5..ada035a416c9 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -179,19 +179,19 @@ ray_cc_test( tags = ["team:core"], deps = [ ":util", - "//:ray_fakes", "//:ray_mock", - "//src/fakes/ray/object_manager/plasma:fake_plasma_client", - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/common:lease", "//src/ray/common:ray_object", "//src/ray/common:task_common", "//src/ray/common/cgroup2:cgroup_manager_interface", + "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/observability:fake_metric", + "//src/ray/pubsub:fake_subscriber", "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", "//src/ray/raylet/scheduling:cluster_lease_manager", + "//src/ray/rpc:fake_raylet_client", "//src/ray/util:macros", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 331b9705ccf5..39999db4a47b 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -21,9 +21,6 @@ #include #include -#include "fakes/ray/object_manager/plasma/fake_plasma_client.h" -#include "fakes/ray/pubsub/subscriber.h" -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" #include "mock/ray/core_worker/experimental_mutable_object_provider.h" #include "mock/ray/gcs_client/gcs_client.h" @@ -35,10 +32,13 @@ #include "ray/common/buffer.h" #include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/scheduling/cluster_resource_data.h" +#include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/observability/fake_metric.h" +#include "ray/pubsub/fake_subscriber.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/tests/util.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray::raylet { using ::testing::_; diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 2a83b60815e8..f78e59c300da 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -178,6 +178,21 @@ ray_cc_library( ], ) +ray_cc_library( + name = "fake_raylet_client", + hdrs = [ + "raylet/fake_raylet_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/common/scheduling:scheduling_ids", + "@com_google_absl//absl/time", + ], +) + ray_cc_library( name = "core_worker_client", srcs = [ @@ -202,3 +217,15 @@ ray_cc_library( "@com_google_absl//absl/synchronization", ], ) + +ray_cc_library( + name = "fake_core_worker_client", + hdrs = [ + "worker/fake_core_worker_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":core_worker_client", + "@com_google_absl//absl/synchronization", + ], +) diff --git a/src/fakes/ray/rpc/raylet/raylet_client.h b/src/ray/rpc/raylet/fake_raylet_client.h similarity index 99% rename from src/fakes/ray/rpc/raylet/raylet_client.h rename to src/ray/rpc/raylet/fake_raylet_client.h index b3f65e3188a0..27ff84c05ff6 100644 --- a/src/fakes/ray/rpc/raylet/raylet_client.h +++ b/src/ray/rpc/raylet/fake_raylet_client.h @@ -18,6 +18,7 @@ #include #include #include +#include #include #include "absl/time/clock.h" diff --git a/src/ray/rpc/raylet/tests/BUILD.bazel b/src/ray/rpc/raylet/tests/BUILD.bazel index ac59bcc2f969..68577a9f6dfe 100644 --- a/src/ray/rpc/raylet/tests/BUILD.bazel +++ b/src/ray/rpc/raylet/tests/BUILD.bazel @@ -6,8 +6,8 @@ ray_cc_test( srcs = ["raylet_client_pool_test.cc"], tags = ["team:core"], deps = [ - "//src/fakes/ray/rpc/raylet:fake_raylet_client", "//src/ray/gcs_client", + "//src/ray/rpc:fake_raylet_client", "//src/ray/rpc:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc index 5d711c92e5b3..6cd9103eb5d1 100644 --- a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc +++ b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc @@ -21,8 +21,8 @@ #include #include -#include "fakes/ray/rpc/raylet/raylet_client.h" #include "gmock/gmock.h" +#include "ray/rpc/raylet/fake_raylet_client.h" namespace ray { namespace rpc { diff --git a/src/fakes/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/fake_core_worker_client.h similarity index 98% rename from src/fakes/ray/rpc/worker/core_worker_client.h rename to src/ray/rpc/worker/fake_core_worker_client.h index e4f5f27f1aad..64ad9cd91b80 100644 --- a/src/fakes/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/fake_core_worker_client.h @@ -14,6 +14,9 @@ #pragma once +#include +#include + #include "absl/synchronization/mutex.h" #include "ray/rpc/worker/core_worker_client.h" From 0c34b3e36c7ba14b76e9604b73c25a2f73c9ee3e Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 19 Sep 2025 23:49:43 -0700 Subject: [PATCH 1309/1566] [docker] Update latest Docker dependencies for 2.49.2 release (#56760) Created by release automation bot. Update with commit 0410a5d6b2b37a4de5fc71401e95566035b8bd25 Signed-off-by: mowen Co-authored-by: mowen Signed-off-by: Douglas Strodtman --- doc/source/ray-overview/installation.rst | 2 +- .../pip_freeze_ray-ml-py39-cpu.txt | 30 ++++++++++++------- .../ray-overview/pip_freeze_ray-py39-cpu.txt | 24 ++++++++++----- 3 files changed, 36 insertions(+), 20 deletions(-) diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index 7ba1db6424b3..8bfe8f62ff91 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -436,7 +436,7 @@ We publish the dependencies that are installed in our ``ray`` Docker images for .. tab-item:: ray (Python 3.9) :sync: ray (Python 3.9) - Ray version: nightly (`ec5d410 `_) + Ray version: nightly (`0410a5d `_) .. literalinclude:: ./pip_freeze_ray-py39-cpu.txt diff --git a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt index 01830b5aa586..0097663cb995 100644 --- a/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-ml-py39-cpu.txt @@ -1,12 +1,13 @@ absl-py==1.4.0 accelerate==0.28.0 adagio==0.2.4 +adlfs==2023.8.0 aim==3.23.0 aim-ui==3.23.0 aimrecords==0.0.7 aimrocks==0.5.2 -aioboto3==11.2.0 -aiobotocore==2.5.0 +aioboto3==12.1.0 +aiobotocore==2.8.0 aiofiles==22.1.0 aiohappyeyeballs==2.6.1 aiohttp==3.11.16 @@ -35,6 +36,8 @@ attrs==25.1.0 ax-platform==0.3.2 azure-common==1.1.28 azure-core==1.29.5 +azure-datalake-store==0.0.53 +azure-identity==1.17.1 azure-storage-blob==12.22.0 Babel==2.13.1 backcall==0.2.0 @@ -46,8 +49,8 @@ bleach==6.1.0 bokeh==2.4.3 boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1733827268945/work boto==2.49.0 -boto3==1.26.76 -botocore==1.29.76 +boto3==1.29.7 +botocore==1.32.7 botorch==0.8.5 Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1749229842835/work cachetools==5.5.2 @@ -121,7 +124,7 @@ fqdn==1.5.1 frozendict @ file:///home/conda/feedstock_root/build_artifacts/frozendict_1728841359971/work frozenlist==1.4.1 fs==2.4.16 -fsspec==2023.5.0 +fsspec==2023.12.1 fugue==0.8.7 fugue-sql-antlr==0.2.0 future==1.0.0 @@ -151,7 +154,7 @@ graphene==3.4.3 graphql-core==3.2.3 graphql-relay==3.2.0 greenlet==3.0.1 -grpcio==1.74.0 +grpcio==1.75.0 gsutil==5.27 gunicorn==20.1.0 gymnasium==1.1.1 @@ -237,6 +240,8 @@ more-itertools==10.7.0 mosaicml==0.3.1 moviepy==0.2.3.1 mpmath==1.3.0 +msal==1.28.1 +msal-extensions==1.2.0b1 msgpack==1.0.7 msgpack-numpy==0.4.8 mujoco==3.2.4 @@ -300,6 +305,7 @@ pillow==10.3.0 platformdirs==3.11.0 plotly==5.23.0 pluggy==1.3.0 +portalocker==2.8.2 prometheus-client==0.19.0 promise==2.3 prompt-toolkit==3.0.41 @@ -317,11 +323,12 @@ pyasn1==0.5.1 pyasn1-modules==0.3.0 pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1732588390546/work pycparser==2.21 -pydantic==2.10.0 -pydantic_core==2.27.0 +pydantic==2.11.7 +pydantic_core==2.33.2 pygame==2.5.2 pyglet==1.5.15 Pygments==2.18.0 +PyJWT==2.8.0 pymars==0.10.0 pymunk==6.2.1 pynvml==11.5.0 @@ -345,7 +352,7 @@ pyu2f==0.1.5 PyYAML==6.0.1 pyzmq==26.0.3 qpd==0.4.4 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=6dd296fe192d3c9953867ef02ab2645e2f5e48f49e7d4e7c1fecc7689d139cf1 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=738abaee5dfcb70c145b1a58030863bec9d3bf8716671867705b11606c76b1ee referencing==0.36.2 regex==2024.5.15 requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1733217035951/work @@ -361,8 +368,8 @@ rpds-py==0.22.3 rsa==4.7.2 ruamel.yaml==0.17.40 ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1728724456970/work -s3fs==2023.5.0 -s3transfer==0.6.2 +s3fs==2023.12.1 +s3transfer==0.8.0 safetensors==0.4.3 scikit-image==0.24.0 scikit-learn==1.3.2 @@ -434,6 +441,7 @@ triton==2.3.0 typeguard==2.13.3 typer==0.12.3 types-python-dateutil==2.9.0.20240316 +typing-inspection==0.4.1 typing_extensions==4.12.2 tzdata==2025.2 uri-template==1.3.0 diff --git a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt index da45ccee1874..b58602114711 100644 --- a/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt +++ b/doc/source/ray-overview/pip_freeze_ray-py39-cpu.txt @@ -1,3 +1,4 @@ +adlfs==2023.8.0 aiohappyeyeballs==2.6.1 aiohttp==3.11.16 aiohttp-cors==0.7.0 @@ -10,11 +11,13 @@ async-timeout==4.0.3 attrs==25.1.0 azure-common==1.1.28 azure-core==1.29.5 +azure-datalake-store==0.0.53 +azure-identity==1.17.1 azure-storage-blob==12.22.0 billiard==4.2.1 boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1733827268945/work -boto3==1.26.76 -botocore==1.29.76 +boto3==1.29.7 +botocore==1.32.7 Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1749229842835/work cachetools==5.5.2 celery==5.5.3 @@ -46,7 +49,7 @@ filelock==3.17.0 flatbuffers==23.5.26 frozendict @ file:///home/conda/feedstock_root/build_artifacts/frozendict_1728841359971/work frozenlist==1.4.1 -fsspec==2023.5.0 +fsspec==2023.12.1 google-api-core==2.24.2 google-api-python-client==2.111.0 google-auth==2.23.4 @@ -57,7 +60,7 @@ google-crc32c==1.5.0 google-oauth==1.0.1 google-resumable-media==2.6.0 googleapis-common-protos==1.61.0 -grpcio==1.74.0 +grpcio==1.75.0 gymnasium==1.1.1 h11==0.16.0 h2 @ file:///home/conda/feedstock_root/build_artifacts/h2_1733298745555/work @@ -82,6 +85,8 @@ MarkupSafe==2.1.3 mdurl==0.1.2 memray==1.10.0 menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1753546271769/work +msal==1.28.1 +msal-extensions==1.2.0b1 msgpack==1.0.7 multidict==6.0.5 numpy==1.26.4 @@ -97,6 +102,7 @@ packaging==23.0 pandas==1.5.3 platformdirs==3.11.0 pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1733222765875/work +portalocker==2.8.2 prometheus-client==0.19.0 prompt-toolkit==3.0.41 propcache==0.3.0 @@ -109,9 +115,10 @@ pyasn1==0.5.1 pyasn1-modules==0.3.0 pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1732588390546/work pycparser==2.21 -pydantic==2.10.0 -pydantic_core==2.27.0 +pydantic==2.11.7 +pydantic_core==2.33.2 Pygments==2.18.0 +PyJWT==2.8.0 pyOpenSSL==25.0.0 pyparsing==3.1.1 PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1733217236728/work @@ -119,7 +126,7 @@ python-dateutil==2.8.2 python-dotenv==1.1.1 pytz==2022.7.1 PyYAML==6.0.1 -ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=f882349a99e35a6628b064cfcb031919f026933731262d982bbdf7664003fbd3 +ray @ file:///home/ray/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl#sha256=f0991c5615755c40f77f644ee58814bb758ab9d29705dccd1ce9d487edd6d511 referencing==0.36.2 requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1733217035951/work rich==13.3.2 @@ -127,7 +134,7 @@ rpds-py==0.22.3 rsa==4.7.2 ruamel.yaml @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml_1755625023823/work ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1728724456970/work -s3transfer==0.6.2 +s3transfer==0.8.0 scipy==1.11.4 six==1.16.0 smart-open==6.2.0 @@ -135,6 +142,7 @@ sniffio==1.3.1 starlette==0.46.2 tensorboardX==2.6.2.2 tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1735661334605/work +typing-inspection==0.4.1 typing_extensions==4.12.2 tzdata==2025.2 uritemplate==4.1.1 From 3b83be44797aaa3952fd2f53441917ad41b11b33 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 20 Sep 2025 23:01:50 -0700 Subject: [PATCH 1310/1566] [ci] skip 3.10 minimal test (#56753) python 3.10 on miniforge seems to have a broken update Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index ce9671aaeed6..2b92f09cb6bf 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -287,7 +287,7 @@ steps: - minbuild-core matrix: - "3.9" - - "3.10" + # - "3.10" # miniforge Python 3.10 seems to be broken.. - "3.11" - "3.12" - "3.13" From ce408864a713696ff9201de77ad4bf67613e72d9 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Sun, 21 Sep 2025 15:18:21 -0400 Subject: [PATCH 1311/1566] [Data] Switched default shuffle strategy from sort-based to hash-based (#55510) ## Why are these changes needed? Hash-based shuffle has been around for some time now bringing clear performance advantages in our internal benchmarks and tests. Therefore we're switching default shuffle-strategy from existing (legacy) range-sort based one to a hash-shuffle. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD.bazel | 14 + .../execution/operators/hash_aggregate.py | 56 +- .../execution/operators/hash_shuffle.py | 354 +++++++++---- .../_internal/execution/operators/join.py | 74 +-- .../logical/interfaces/logical_operator.py | 3 +- .../logical/operators/all_to_all_operator.py | 3 +- .../logical/operators/from_operators.py | 8 +- .../logical/operators/read_operator.py | 34 +- .../logical/rules/set_read_parallelism.py | 4 +- .../_internal/planner/plan_all_to_all_op.py | 8 +- python/ray/data/_internal/planner/planner.py | 1 - python/ray/data/context.py | 20 +- python/ray/data/read_api.py | 11 +- python/ray/data/tests/test_consumption.py | 2 +- .../data/tests/test_execution_optimizer.py | 28 +- python/ray/data/tests/test_hash_shuffle.py | 493 ++++++++++++++++++ python/ray/data/tests/test_join.py | 82 +-- python/ray/data/tests/test_mongo.py | 2 +- python/ray/data/tests/test_operator_fusion.py | 1 - python/ray/data/tests/test_repartition_e2e.py | 2 +- .../ray/data/tests/test_resource_manager.py | 31 +- python/ray/data/tests/test_split.py | 42 +- python/ray/data/tests/test_strict_mode.py | 24 +- python/ray/data/tests/test_util.py | 4 - 24 files changed, 925 insertions(+), 376 deletions(-) create mode 100644 python/ray/data/tests/test_hash_shuffle.py diff --git a/python/ray/data/BUILD.bazel b/python/ray/data/BUILD.bazel index 09cbbf8eb0f3..509ba6f1e102 100644 --- a/python/ray/data/BUILD.bazel +++ b/python/ray/data/BUILD.bazel @@ -588,6 +588,20 @@ py_test( ], ) +py_test( + name = "test_hash_shuffle", + size = "small", + srcs = ["tests/test_hash_shuffle.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_hudi", size = "medium", diff --git a/python/ray/data/_internal/execution/operators/hash_aggregate.py b/python/ray/data/_internal/execution/operators/hash_aggregate.py index 005a53d9f52f..f6ff69dd8e51 100644 --- a/python/ray/data/_internal/execution/operators/hash_aggregate.py +++ b/python/ray/data/_internal/execution/operators/hash_aggregate.py @@ -9,7 +9,7 @@ HashShufflingOperatorBase, StatefulShuffleAggregation, ) -from ray.data._internal.util import GiB +from ray.data._internal.util import GiB, MiB from ray.data.aggregate import AggregateFn from ray.data.block import Block, BlockAccessor from ray.data.context import DataContext @@ -111,15 +111,13 @@ def __init__( key_columns: Tuple[str], aggregation_fns: Tuple[AggregateFn], *, - num_partitions: int, + num_partitions: Optional[int] = None, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, ): super().__init__( - name=( - f"HashAggregate(" - f"num_partitions={num_partitions}, " - f"key_columns={key_columns}" - f")" + name_factory=( + lambda num_partitions: f"HashAggregate(key_columns={key_columns}, " + f"num_partitions={num_partitions})" ), input_ops=[input_op], data_context=data_context, @@ -147,25 +145,8 @@ def __init__( finalize_progress_bar_name="Aggregation", ) - def _get_default_num_cpus_per_partition(self) -> int: - """ - CPU allocation for aggregating actors of Aggregate operator is calculated as: - num_cpus (per partition) = CPU budget / # partitions - - Assuming: - - Default number of partitions: 200 - - Total operator's CPU budget with default settings: 2 cores - - Number of CPUs per partition: 2 / 200 = 0.01 - - These CPU budgets are derived such that Ray Data pipeline could run on a - single node (using the default settings). - """ - return 0.01 - - def _get_operator_num_cpus_per_partition_override(self) -> int: - return ( - self.data_context.hash_aggregate_operator_actor_num_cpus_per_partition_override - ) + def _get_operator_num_cpus_override(self) -> float: + return self.data_context.hash_aggregate_operator_actor_num_cpus_override @classmethod def _estimate_aggregator_memory_allocation( @@ -173,13 +154,16 @@ def _estimate_aggregator_memory_allocation( *, num_aggregators: int, num_partitions: int, - partition_byte_size_estimate: int, + estimated_dataset_bytes: int, ) -> int: - dataset_size = num_partitions * partition_byte_size_estimate + partition_byte_size_estimate = math.ceil( + estimated_dataset_bytes / num_partitions + ) + # Estimate of object store memory required to accommodate all partitions # handled by a single aggregator aggregator_shuffle_object_store_memory_required: int = math.ceil( - dataset_size / num_aggregators + estimated_dataset_bytes / num_aggregators ) # Estimate of memory required to accommodate single partition as an output # (inside Object Store) @@ -193,12 +177,14 @@ def _estimate_aggregator_memory_allocation( output_object_store_memory_required ) - logger.debug( - f"Estimated memory requirement for aggregating operator " - f"(partitions={num_partitions}, aggregators={num_aggregators}): " - f"shuffle={aggregator_shuffle_object_store_memory_required / GiB:.2f}GiB, " - f"output={output_object_store_memory_required / GiB:.2f}GiB, " - f"total={aggregator_total_memory_required / GiB:.2f}GiB, " + logger.info( + f"Estimated memory requirement for aggregating aggregator " + f"(partitions={num_partitions}, " + f"aggregators={num_aggregators}, " + f"dataset (estimate)={estimated_dataset_bytes / GiB:.1f}GiB): " + f"shuffle={aggregator_shuffle_object_store_memory_required / MiB:.1f}MiB, " + f"output={output_object_store_memory_required / MiB:.1f}MiB, " + f"total={aggregator_total_memory_required / MiB:.1f}MiB, " ) return aggregator_total_memory_required diff --git a/python/ray/data/_internal/execution/operators/hash_shuffle.py b/python/ray/data/_internal/execution/operators/hash_shuffle.py index 5345acd58ef1..6fd3d27524dd 100644 --- a/python/ray/data/_internal/execution/operators/hash_shuffle.py +++ b/python/ray/data/_internal/execution/operators/hash_shuffle.py @@ -25,6 +25,7 @@ import ray from ray import ObjectRef +from ray._private.ray_constants import env_integer from ray.actor import ActorHandle from ray.data._internal.arrow_block import ArrowBlockBuilder from ray.data._internal.arrow_ops.transform_pyarrow import ( @@ -44,6 +45,7 @@ _create_sub_pb, estimate_total_num_of_blocks, ) +from ray.data._internal.logical.interfaces import LogicalOperator from ray.data._internal.stats import OpRuntimeMetrics from ray.data._internal.table_block import TableBlockAccessor from ray.data._internal.util import GiB, MiB @@ -57,7 +59,11 @@ BlockType, to_stats, ) -from ray.data.context import DataContext +from ray.data.context import ( + DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS, + DEFAULT_TARGET_MAX_BLOCK_SIZE, + DataContext, +) logger = logging.getLogger(__name__) @@ -69,6 +75,15 @@ ] +DEFAULT_HASH_SHUFFLE_AGGREGATOR_MAX_CONCURRENCY = env_integer( + "RAY_DATA_DEFAULT_HASH_SHUFFLE_AGGREGATOR_MAX_CONCURRENCY", 8 +) + +DEFAULT_HASH_SHUFFLE_AGGREGATOR_MEMORY_ALLOCATION = env_integer( + "RAY_DATA_DEFAULT_HASH_SHUFFLE_AGGREGATOR_MEMORY_ALLOCATION", 1 * GiB +) + + class StatefulShuffleAggregation(abc.ABC): """Interface for a stateful aggregation to be used by hash-based shuffling operators (inheriting from `HashShufflingOperatorBase`) and subsequent @@ -310,7 +325,7 @@ def _shuffle_block( logger.debug( f"Shuffled block (rows={original_block_metadata.num_rows}, " - f"bytes={original_block_metadata.size_bytes/MiB:.2f}MB) " + f"bytes={original_block_metadata.size_bytes/MiB:.1f}MB) " f"into {len(partition_shards_stats)} partitions (" f"quantiles={'/'.join(map(str, quantiles))}, " f"rows={'/'.join(map(str, num_rows_quantiles))}, " @@ -389,6 +404,33 @@ def close_sub_progress_bars(self): self.reduce_bar.close() +def _derive_max_shuffle_aggregators( + total_cluster_resources: ExecutionResources, + data_context: DataContext, +) -> int: + # Motivation for derivation of max # of shuffle aggregators is based on the + # following observations: + # + # - Shuffle operation is necessarily a terminal operation: it terminates current + # shuffle stage (set of operators that can execute concurrently) + # - Shuffle operation has very low computation footprint until all preceding + # operation completes (ie until shuffle finalization) + # - When shuffle is finalized only shuffle operator is executing (ie it has + # all of the cluster resources available at its disposal) + # + # As such we establish that the max number of shuffle + # aggregators (workers): + # + # - Should not exceed total # of CPUs (to fully utilize cluster resources + # while avoiding thrashing these due to over-allocation) + # - Should be capped at fixed size (128 by default) + return min( + math.ceil(total_cluster_resources.cpu), + data_context.max_hash_shuffle_aggregators + or DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS, + ) + + class HashShufflingOperatorBase(PhysicalOperator, HashShuffleProgressBarMixin): """Physical operator base-class for any operators requiring hash-based shuffling. @@ -411,25 +453,45 @@ class HashShufflingOperatorBase(PhysicalOperator, HashShuffleProgressBarMixin): def __init__( self, - name: str, + name_factory: Callable[[int], str], input_ops: List[PhysicalOperator], data_context: DataContext, *, key_columns: List[Tuple[str]], - num_partitions: int, partition_aggregation_factory: StatefulShuffleAggregationFactory, + num_partitions: Optional[int] = None, partition_size_hint: Optional[int] = None, input_block_transformer: Optional[BlockTransformer] = None, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, shuffle_progress_bar_name: Optional[str] = None, finalize_progress_bar_name: Optional[str] = None, ): + input_logical_ops = [ + input_physical_op._logical_operators[0] for input_physical_op in input_ops + ] + + estimated_input_blocks = [ + input_op.estimated_num_outputs() for input_op in input_logical_ops + ] + + # Derive target num partitions as either of + # - Requested target number of partitions + # - Max estimated target number of blocks generated by the input op(s) + # - Default configured hash-shuffle parallelism (200) + target_num_partitions: int = ( + num_partitions + or (max(estimated_input_blocks) if all(estimated_input_blocks) else None) + or data_context.default_hash_shuffle_parallelism + ) + super().__init__( - name=name, + name=name_factory(target_num_partitions), input_dependencies=input_ops, data_context=data_context, ) + assert partition_size_hint is None or partition_size_hint > 0 + if shuffle_progress_bar_name is None: shuffle_progress_bar_name = "Shuffle" if finalize_progress_bar_name is None: @@ -444,27 +506,40 @@ def __init__( ) self._key_column_names: List[Tuple[str]] = key_columns - self._num_partitions = num_partitions + self._num_partitions: int = target_num_partitions # Determine max number of shuffle aggregators (defaults to # `DataContext.min_parallelism`) - max_shuffle_aggregators = ( - data_context.max_hash_shuffle_aggregators - or data_context.default_hash_shuffle_parallelism + total_available_cluster_resources = _get_total_cluster_resources() + max_shuffle_aggregators = _derive_max_shuffle_aggregators( + total_available_cluster_resources, data_context ) + # Cap number of aggregators to not exceed max configured - num_aggregators = min(num_partitions, max_shuffle_aggregators) + num_aggregators = min(target_num_partitions, max_shuffle_aggregators) + + # Target dataset's size estimated as either of + # 1. ``partition_size_hint`` multiplied by target number of partitions + # 2. Estimation of input ops' outputs bytes + if partition_size_hint is not None: + # TODO replace with dataset-byte-size hint + estimated_dataset_bytes = partition_size_hint * target_num_partitions + else: + estimated_dataset_bytes = _try_estimate_output_bytes( + input_logical_ops, + ) self._aggregator_pool: AggregatorPool = AggregatorPool( - num_partitions=num_partitions, + num_partitions=target_num_partitions, num_aggregators=num_aggregators, aggregation_factory=partition_aggregation_factory, aggregator_ray_remote_args=( aggregator_ray_remote_args_override or self._get_default_aggregator_ray_remote_args( - num_partitions=num_partitions, + num_partitions=target_num_partitions, num_aggregators=num_aggregators, - partition_size_hint=partition_size_hint, + total_available_cluster_resources=total_available_cluster_resources, + estimated_dataset_bytes=estimated_dataset_bytes, ) ), data_context=data_context, @@ -550,8 +625,14 @@ def _do_add_input_inner(self, input_bundle: RefBundle, input_index: int): input_key_column_names = self._key_column_names[input_index] # Compose shuffling task resource bundle shuffle_task_resource_bundle = { - "num_cpus": 1, - "memory": self._estimate_shuffling_memory_req(block_metadata), + "num_cpus": 0.5, + "memory": self._estimate_shuffling_memory_req( + block_metadata, + target_max_block_size=( + self._data_context.target_max_block_size + or DEFAULT_TARGET_MAX_BLOCK_SIZE + ), + ), } cur_shuffle_task_idx = self._next_shuffle_tasks_idx @@ -946,49 +1027,53 @@ def _get_partition_stats( } @classmethod - def _estimate_shuffling_memory_req(cls, block_metadata: BlockMetadata): - return ( - math.ceil(block_metadata.size_bytes * 1.25) - if block_metadata.size_bytes - else 2 * GiB + def _estimate_shuffling_memory_req( + cls, + block_metadata: BlockMetadata, + target_max_block_size: int, + ): + estimated_block_bytes = ( + block_metadata.size_bytes + if block_metadata.size_bytes is not None + else target_max_block_size ) + return estimated_block_bytes * 2 + def _get_default_aggregator_ray_remote_args( self, *, num_partitions: int, num_aggregators: int, - partition_size_hint: Optional[int] = None, + total_available_cluster_resources: ExecutionResources, + estimated_dataset_bytes: Optional[int], ): assert num_partitions >= num_aggregators - assert partition_size_hint is None or partition_size_hint > 0 - aggregator_total_memory_required = 0 - if ( - self.data_context.target_max_block_size is not None - or partition_size_hint is not None - ): - aggregator_total_memory_required = self._estimate_aggregator_memory_allocation( + if estimated_dataset_bytes is not None: + estimated_aggregator_memory_required = self._estimate_aggregator_memory_allocation( num_aggregators=num_aggregators, num_partitions=num_partitions, # NOTE: If no partition size hint is provided we simply assume target # max block size specified as the best partition size estimate - partition_byte_size_estimate=( - partition_size_hint or self.data_context.target_max_block_size - ), + estimated_dataset_bytes=estimated_dataset_bytes, + ) + else: + # NOTE: In cases when we're unable to estimate dataset size, + # we simply fallback to request + # ``DEFAULT_HASH_SHUFFLE_AGGREGATOR_MEMORY_ALLOCATION`` worth of + # memory for every Aggregator + estimated_aggregator_memory_required = ( + DEFAULT_HASH_SHUFFLE_AGGREGATOR_MEMORY_ALLOCATION ) - - # Since aggregators can handle multiple individual partitions, - # CPU allocation is proportionately scaled with the number of partitions - partition_aggregator_ratio: int = math.ceil(num_partitions / num_aggregators) - assert partition_aggregator_ratio >= 1 remote_args = { - "num_cpus": self._get_aggregator_num_cpus_per_partition( - num_partitions=num_partitions - ) - * partition_aggregator_ratio, - "memory": aggregator_total_memory_required, + "num_cpus": self._get_aggregator_num_cpus( + total_available_cluster_resources, + estimated_aggregator_memory_required, + num_aggregators=num_aggregators, + ), + "memory": estimated_aggregator_memory_required, # NOTE: By default aggregating actors should be spread across available # nodes to prevent any single node being overloaded with a "thundering # herd" @@ -998,27 +1083,56 @@ def _get_default_aggregator_ray_remote_args( return remote_args @abc.abstractmethod - def _get_default_num_cpus_per_partition(self) -> int: + def _get_operator_num_cpus_override(self) -> int: pass - @abc.abstractmethod - def _get_operator_num_cpus_per_partition_override(self) -> int: - pass + def _get_aggregator_num_cpus( + self, + total_available_cluster_resources: ExecutionResources, + estimated_aggregator_memory_required: int, + num_aggregators: int, + ) -> float: + """Estimates number of CPU resources to be provisioned for individual + Aggregators. + + Due to semantic of the Aggregator's role (outlined below), their CPU + allocation is mostly playing a role of complimenting their memory allocation + such that it serves as a protection mechanism from over-allocation of the + tasks that do not specify their respective memory resources. + """ - def _get_aggregator_num_cpus_per_partition(self, num_partitions: int): - # 1. Check whether there is an override - if self._get_operator_num_cpus_per_partition_override() is not None: - return self._get_operator_num_cpus_per_partition_override() + # First, check whether there is an override + if self._get_operator_num_cpus_override() is not None: + return self._get_operator_num_cpus_override() - # 2. Check cluster resources - max_resources = ray._private.state.state.get_max_resources_from_cluster_config() - if max_resources and (max_resources.get("CPU") or 0) > 0: - # NOTE: For shuffling operations we aim to allocate no more than - # 50% of CPUs, but no more than 1 CPU per partition - return min(1, (max_resources["CPU"] / 2) / num_partitions) + # Note that + # + # - Shuffle aggregators have modest computational footprint until + # finalization stage + # - Finalization stage actually always executes standalone, since it only + # starts when all preceding operations complete + # + # Though we don't need to purposefully allocate any meaningful amount of + # CPU resources to the shuffle aggregators, we're still allocating nominal + # CPU resources to it such that to compliment its required memory allocation + # and therefore protect from potential OOMs in case other tasks getting + # scheduled onto the same node, but not specifying their respective memory + # requirements. + # + # CPU allocation is determined like following + # + # CPUs = Total memory required / 4 GiB (standard ratio in the conventional clouds) + # + # But no more than + # - 25% of total available CPUs but + # - No more than 4 CPUs per aggregator + # + cap = min(4.0, total_available_cluster_resources.cpu * 0.25 / num_aggregators) - # 3. Fallback to defaults if the first two options are not available - return self._get_default_num_cpus_per_partition() + target_num_cpus = min(cap, estimated_aggregator_memory_required / (4 * GiB)) + + # Round resource to 2d decimal point (for readability) + return round(target_num_cpus, 2) @classmethod def _estimate_aggregator_memory_allocation( @@ -1026,10 +1140,14 @@ def _estimate_aggregator_memory_allocation( *, num_aggregators: int, num_partitions: int, - partition_byte_size_estimate: int, + estimated_dataset_bytes: int, ) -> int: raise NotImplementedError() + @classmethod + def _gen_op_name(cls, num_partitions: int) -> str: + raise NotImplementedError() + class HashShuffleOperator(HashShufflingOperatorBase): def __init__( @@ -1038,12 +1156,14 @@ def __init__( data_context: DataContext, *, key_columns: Tuple[str], - num_partitions: int, + num_partitions: Optional[int] = None, should_sort: bool = False, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, ): super().__init__( - name=f"Shuffle(key_columns={key_columns}, num_partitions={num_partitions})", + name_factory=( + lambda num_partitions: f"Shuffle(key_columns={key_columns}, num_partitions={num_partitions})" + ), input_ops=[input_op], data_context=data_context, key_columns=[key_columns], @@ -1060,25 +1180,8 @@ def __init__( shuffle_progress_bar_name="Shufle", ) - def _get_default_num_cpus_per_partition(self) -> int: - """ - CPU allocation for aggregating actors of Shuffle operator is calculated as: - num_cpus (per partition) = CPU budget / # partitions - - Assuming: - - Default number of partitions: 64 - - Total operator's CPU budget with default settings: 4 cores - - Number of CPUs per partition: 4 / 64 = 0.0625 - - These CPU budgets are derived such that Ray Data pipeline could run on a - single node (using the default settings). - """ - return 0.0625 - - def _get_operator_num_cpus_per_partition_override(self) -> int: - return ( - self.data_context.hash_shuffle_operator_actor_num_cpus_per_partition_override - ) + def _get_operator_num_cpus_override(self) -> float: + return self.data_context.hash_shuffle_operator_actor_num_cpus_override @classmethod def _estimate_aggregator_memory_allocation( @@ -1086,13 +1189,16 @@ def _estimate_aggregator_memory_allocation( *, num_aggregators: int, num_partitions: int, - partition_byte_size_estimate: int, + estimated_dataset_bytes: int, ) -> int: - dataset_size = num_partitions * partition_byte_size_estimate + partition_byte_size_estimate = math.ceil( + estimated_dataset_bytes / num_partitions + ) + # Estimate of object store memory required to accommodate all partitions # handled by a single aggregator aggregator_shuffle_object_store_memory_required: int = math.ceil( - dataset_size / num_aggregators + estimated_dataset_bytes / num_aggregators ) # Estimate of memory required to accommodate single partition as an output # (inside Object Store) @@ -1106,12 +1212,14 @@ def _estimate_aggregator_memory_allocation( output_object_store_memory_required ) - logger.debug( - f"Estimated memory requirement for shuffling operator " - f"(partitions={num_partitions}, aggregators={num_aggregators}): " - f"shuffle={aggregator_shuffle_object_store_memory_required / GiB:.2f}GiB, " - f"output={output_object_store_memory_required / GiB:.2f}GiB, " - f"total={aggregator_total_memory_required / GiB:.2f}GiB, " + logger.info( + f"Estimated memory requirement for shuffling aggregator " + f"(partitions={num_partitions}, " + f"aggregators={num_aggregators}, " + f"dataset (estimate)={estimated_dataset_bytes / GiB:.1f}GiB): " + f"shuffle={aggregator_shuffle_object_store_memory_required / MiB:.1f}MiB, " + f"output={output_object_store_memory_required / MiB:.1f}MiB, " + f"total={aggregator_total_memory_required / MiB:.1f}MiB, " ) return aggregator_total_memory_required @@ -1168,6 +1276,11 @@ def start(self): # Check cluster resources before starting aggregators self._check_cluster_resources() + logger.debug( + f"Starting {self._num_aggregators} shuffle aggregators with remote " + f"args: {self._aggregator_ray_remote_args}" + ) + for aggregator_id in range(self._num_aggregators): target_partition_ids = self._aggregator_partition_map[aggregator_id] @@ -1229,22 +1342,22 @@ def _check_cluster_resources(self) -> None: if required_memory > total_memory: logger.warning( f"Insufficient memory resources in cluster for hash shuffle operation. " - f"Required: {required_memory / GiB:.2f} GiB for {self._num_aggregators} aggregators, " - f"but cluster only has {total_memory / GiB:.2f} GiB total memory. " + f"Required: {required_memory / GiB:.1f} GiB for {self._num_aggregators} aggregators, " + f"but cluster only has {total_memory / GiB:.1f} GiB total memory. " f"Consider reducing the number of partitions or increasing cluster size." ) if required_memory > available_memory: logger.warning( f"Limited available memory resources for hash shuffle operation. " - f"Required: {required_memory / GiB:.2f} GiB, available: {available_memory / GiB:.2f} GiB. " + f"Required: {required_memory / GiB:.1f} GiB, available: {available_memory / GiB:.1f} GiB. " f"Aggregators may take longer to start due to resource contention." ) logger.debug( f"Resource check passed for hash shuffle operation: " f"required CPUs={required_cpus}, available CPUs={available_cpus}, " - f"required memory={required_memory / GiB:.2f} GiB, available memory={available_memory / GiB:.2f} GiB" + f"required memory={required_memory / GiB:.1f} GiB, available memory={available_memory / GiB:.1f} GiB" ) @property @@ -1283,6 +1396,18 @@ def _derive_final_shuffle_aggregator_ray_remote_args( [len(ps) for ps in aggregator_partition_map.values()] ) + # Cap shuffle aggregator concurrency at the smaller of + # - Max number of partitions per aggregator + # - Threshold (8 by default) + max_concurrency = min( + max_partitions_per_aggregator, + DEFAULT_HASH_SHUFFLE_AGGREGATOR_MAX_CONCURRENCY, + ) + + assert ( + max_concurrency >= 1 + ), f"{max_partitions_per_aggregator=}, {DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS}" + # NOTE: ShuffleAggregator is configured as threaded actor to allow for # multiple requests to be handled "concurrently" (par GIL) -- # while it's not a real concurrency in its fullest of senses, having @@ -1291,18 +1416,10 @@ def _derive_final_shuffle_aggregator_ray_remote_args( # handling tasks are only blocked on GIL and are ready to execute as # soon as it's released. finalized_remote_args = { - # Max concurrency is configured as a max of - # - Max number of partitions allocated per aggregator - # - Minimum concurrency configured - "max_concurrency": max( - max_partitions_per_aggregator, - HashShuffleAggregator._DEFAULT_ACTOR_MAX_CONCURRENCY, - ), + "max_concurrency": max_concurrency, **aggregator_ray_remote_args, } - logger.debug(f"Shuffle aggregator's remote args: {finalized_remote_args}") - return finalized_remote_args def shutdown(self, force: bool): @@ -1375,10 +1492,6 @@ class HashShuffleAggregator: assigned partitions, and has to be thread-safe! """ - # Default minimum value of `max_concurrency` configured - # for a `ShuffleAggregator` actor - _DEFAULT_ACTOR_MAX_CONCURRENCY = 1 - def __init__( self, aggregator_id: int, @@ -1408,3 +1521,34 @@ def finalize( # TODO break down blocks to target size yield block yield BlockMetadataWithSchema.from_block(block, stats=exec_stats) + + +def _get_total_cluster_resources() -> ExecutionResources: + """Retrieves total available cluster resources: + + 1. If AutoscalerV2 is used, then corresponding max configured resources of + the corresponding `ClusterConfig` is returned. + 2. In case `ClusterConfig` is not set then falls back to currently available + cluster resources (retrieved by `ray.cluster_resources()`) + + """ + return ExecutionResources.from_resource_dict( + ray._private.state.state.get_max_resources_from_cluster_config() + or ray.cluster_resources() + ) + + +# TODO rebase on generic operator output estimation +def _try_estimate_output_bytes( + input_logical_ops: List[LogicalOperator], +) -> Optional[int]: + inferred_op_output_bytes = [ + op.infer_metadata().size_bytes for op in input_logical_ops + ] + + # Return sum of input ops estimated output byte sizes, + # if all are well defined + if all(nbs is not None for nbs in inferred_op_output_bytes): + return sum(inferred_op_output_bytes) + + return None diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 9a3df514f6d1..80423992eb6d 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -1,6 +1,6 @@ import logging import math -from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Type +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.transform_pyarrow import _is_pa_extension_type @@ -15,7 +15,7 @@ StatefulShuffleAggregation, ) from ray.data._internal.logical.operators.join_operator import JoinType -from ray.data._internal.util import GiB +from ray.data._internal.util import GiB, MiB from ray.data.block import Block from ray.data.context import DataContext @@ -340,32 +340,23 @@ def __init__( right_key_columns: Tuple[str], join_type: JoinType, *, - num_partitions: int, + num_partitions: Optional[int] = None, left_columns_suffix: Optional[str] = None, right_columns_suffix: Optional[str] = None, partition_size_hint: Optional[int] = None, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, - shuffle_aggregation_type: Optional[Type[StatefulShuffleAggregation]] = None, ): - # Runtime validation (still recommended even with type hints) - if shuffle_aggregation_type is not None: - if not issubclass(shuffle_aggregation_type, StatefulShuffleAggregation): - raise TypeError( - f"shuffle_aggregation_type must be a subclass of StatefulShuffleAggregation, " - f"got {shuffle_aggregation_type}" - ) - - aggregation_class = shuffle_aggregation_type or JoiningShuffleAggregation - super().__init__( - name=f"Join(num_partitions={num_partitions})", + name_factory=( + lambda num_partitions: f"Join(num_partitions={num_partitions})" + ), input_ops=[left_input_op, right_input_op], data_context=data_context, key_columns=[left_key_columns, right_key_columns], num_partitions=num_partitions, partition_size_hint=partition_size_hint, partition_aggregation_factory=( - lambda aggregator_id, target_partition_ids: aggregation_class( + lambda aggregator_id, target_partition_ids: JoiningShuffleAggregation( aggregator_id=aggregator_id, join_type=join_type, left_key_col_names=left_key_columns, @@ -381,23 +372,8 @@ def __init__( finalize_progress_bar_name="Join", ) - def _get_default_num_cpus_per_partition(self) -> int: - """ - CPU allocation for aggregating actors of Join operator is calculated as: - num_cpus (per partition) = CPU budget / # partitions - - Assuming: - - Default number of partitions: 64 - - Total operator's CPU budget with default settings: 8 cores - - Number of CPUs per partition: 8 / 64 = 0.125 - - These CPU budgets are derived such that Ray Data pipeline could run on a - single node (using the default settings). - """ - return 0.125 - - def _get_operator_num_cpus_per_partition_override(self) -> int: - return self.data_context.join_operator_actor_num_cpus_per_partition_override + def _get_operator_num_cpus_override(self) -> float: + return self.data_context.join_operator_actor_num_cpus_override @classmethod def _estimate_aggregator_memory_allocation( @@ -405,29 +381,29 @@ def _estimate_aggregator_memory_allocation( *, num_aggregators: int, num_partitions: int, - partition_byte_size_estimate: int, + estimated_dataset_bytes: int, ) -> int: - dataset_size = num_partitions * partition_byte_size_estimate + partition_byte_size_estimate = math.ceil( + estimated_dataset_bytes / num_partitions + ) + # Estimate of object store memory required to accommodate all partitions # handled by a single aggregator - # - # NOTE: x2 due to 2 sequences involved in joins aggregator_shuffle_object_store_memory_required: int = math.ceil( - 2 * dataset_size / num_aggregators + estimated_dataset_bytes / num_aggregators ) # Estimate of memory required to perform actual (in-memory) join # operation (inclusive of 50% overhead allocated for Pyarrow join # implementation) # # NOTE: - # - x2 due to 2 partitions (from left/right sequences) - # - x1.5 due to 50% overhead of in-memory join - join_memory_required: int = math.ceil(partition_byte_size_estimate * 3) + # - 2x due to budgeted 100% overhead of Arrow's in-memory join + join_memory_required: int = math.ceil(partition_byte_size_estimate * 2) # Estimate of memory required to accommodate single partition as an output # (inside Object Store) # # NOTE: x2 due to 2 sequences involved in joins - output_object_store_memory_required: int = 2 * partition_byte_size_estimate + output_object_store_memory_required: int = partition_byte_size_estimate aggregator_total_memory_required: int = ( # Inputs (object store) @@ -440,13 +416,15 @@ def _estimate_aggregator_memory_allocation( output_object_store_memory_required ) - logger.debug( + logger.info( f"Estimated memory requirement for joining aggregator " - f"(partitions={num_partitions}, aggregators={num_aggregators}): " - f"shuffle={aggregator_shuffle_object_store_memory_required / GiB:.2f}GiB, " - f"joining={join_memory_required / GiB:.2f}GiB, " - f"output={output_object_store_memory_required / GiB:.2f}GiB, " - f"total={aggregator_total_memory_required / GiB:.2f}GiB, " + f"(partitions={num_partitions}, " + f"aggregators={num_aggregators}, " + f"dataset (estimate)={estimated_dataset_bytes / GiB:.1f}GiB): " + f"shuffle={aggregator_shuffle_object_store_memory_required / MiB:.1f}MiB, " + f"joining={join_memory_required / MiB:.1f}MiB, " + f"output={output_object_store_memory_required / MiB:.1f}MiB, " + f"total={aggregator_total_memory_required / MiB:.1f}MiB, " ) return aggregator_total_memory_required diff --git a/python/ray/data/_internal/logical/interfaces/logical_operator.py b/python/ray/data/_internal/logical/interfaces/logical_operator.py index 0afd1e7e1dc6..037776017b4a 100644 --- a/python/ray/data/_internal/logical/interfaces/logical_operator.py +++ b/python/ray/data/_internal/logical/interfaces/logical_operator.py @@ -26,7 +26,8 @@ def __init__( ) for x in input_dependencies: assert isinstance(x, LogicalOperator), x - self._num_outputs = num_outputs + + self._num_outputs: Optional[int] = num_outputs def estimated_num_outputs(self) -> Optional[int]: """Returns the estimated number of blocks that diff --git a/python/ray/data/_internal/logical/operators/all_to_all_operator.py b/python/ray/data/_internal/logical/operators/all_to_all_operator.py index 224105a4700b..7f6bb82eff9e 100644 --- a/python/ray/data/_internal/logical/operators/all_to_all_operator.py +++ b/python/ray/data/_internal/logical/operators/all_to_all_operator.py @@ -35,8 +35,7 @@ def __init__( operator. ray_remote_args: Args to provide to :func:`ray.remote`. """ - super().__init__(name, [input_op], num_outputs) - self._num_outputs = num_outputs + super().__init__(name, [input_op], num_outputs=num_outputs) self._ray_remote_args = ray_remote_args or {} self._sub_progress_bar_names = sub_progress_bar_names diff --git a/python/ray/data/_internal/logical/operators/from_operators.py b/python/ray/data/_internal/logical/operators/from_operators.py index 0f6ec1a7a2d2..93fbbc47b5ea 100644 --- a/python/ray/data/_internal/logical/operators/from_operators.py +++ b/python/ray/data/_internal/logical/operators/from_operators.py @@ -26,11 +26,17 @@ def __init__( input_blocks: List[ObjectRef[Block]], input_metadata: List[BlockMetadataWithSchema], ): - super().__init__(self.__class__.__name__, [], len(input_blocks)) + super().__init__( + name=self.__class__.__name__, + input_dependencies=[], + num_outputs=len(input_blocks), + ) + assert len(input_blocks) == len(input_metadata), ( len(input_blocks), len(input_metadata), ) + # `owns_blocks` is False because this op may be shared by multiple Datasets. self._input_data = [ RefBundle( diff --git a/python/ray/data/_internal/logical/operators/read_operator.py b/python/ray/data/_internal/logical/operators/read_operator.py index 4a6cd2cc6423..43a10cc0fd7e 100644 --- a/python/ray/data/_internal/logical/operators/read_operator.py +++ b/python/ray/data/_internal/logical/operators/read_operator.py @@ -1,5 +1,6 @@ import copy import functools +import math from typing import Any, Dict, List, Optional, Union from ray.data._internal.logical.interfaces import ( @@ -11,6 +12,7 @@ BlockMetadata, BlockMetadataWithSchema, ) +from ray.data.context import DataContext from ray.data.datasource.datasource import Datasource, Reader @@ -22,21 +24,19 @@ def __init__( datasource: Datasource, datasource_or_legacy_reader: Union[Datasource, Reader], parallelism: int, - mem_size: Optional[int], num_outputs: Optional[int] = None, ray_remote_args: Optional[Dict[str, Any]] = None, concurrency: Optional[int] = None, ): super().__init__( - f"Read{datasource.get_name()}", - None, - num_outputs, + name=f"Read{datasource.get_name()}", + input_op=None, + num_outputs=num_outputs, ray_remote_args=ray_remote_args, ) self._datasource = datasource self._datasource_or_legacy_reader = datasource_or_legacy_reader self._parallelism = parallelism - self._mem_size = mem_size self._concurrency = concurrency self._detected_parallelism = None @@ -56,6 +56,9 @@ def get_detected_parallelism(self) -> int: """ return self._detected_parallelism + def estimated_num_outputs(self) -> Optional[int]: + return self._num_outputs or self._estimate_num_outputs() + def infer_metadata(self) -> BlockMetadata: """A ``BlockMetadata`` that represents the aggregate metadata of the outputs. @@ -67,6 +70,27 @@ def infer_metadata(self) -> BlockMetadata: def infer_schema(self): return self._cached_output_metadata.schema + def _estimate_num_outputs(self) -> Optional[int]: + metadata = self._cached_output_metadata.metadata + + target_max_block_size = DataContext.get_current().target_max_block_size + + # In either case of + # - Total byte-size estimate not available + # - Target max-block-size not being configured + # + # We fallback to estimating number of outputs to be equivalent to the + # number of input files being read (if any) + if metadata.size_bytes is None or target_max_block_size is None: + # NOTE: If there's no input files specified, return the count (could be 0) + return ( + len(metadata.input_files) if metadata.input_files is not None else None + ) + + # Otherwise, estimate total number of blocks from estimated total + # byte size + return math.ceil(metadata.size_bytes / target_max_block_size) + @functools.cached_property def _cached_output_metadata(self) -> "BlockMetadataWithSchema": # Legacy datasources might not implement `get_read_tasks`. diff --git a/python/ray/data/_internal/logical/rules/set_read_parallelism.py b/python/ray/data/_internal/logical/rules/set_read_parallelism.py index faed7b87919d..bffa9540dfd9 100644 --- a/python/ray/data/_internal/logical/rules/set_read_parallelism.py +++ b/python/ray/data/_internal/logical/rules/set_read_parallelism.py @@ -107,6 +107,8 @@ def apply(self, plan: PhysicalPlan) -> PhysicalPlan: return plan def _apply(self, op: PhysicalOperator, logical_op: Read): + estimated_in_mem_bytes = logical_op.infer_metadata().size_bytes + ( detected_parallelism, reason, @@ -115,7 +117,7 @@ def _apply(self, op: PhysicalOperator, logical_op: Read): ) = compute_additional_split_factor( logical_op._datasource_or_legacy_reader, logical_op._parallelism, - logical_op._mem_size, + estimated_in_mem_bytes, op.target_max_block_size_override or op.data_context.target_max_block_size, op._additional_split_factor, ) diff --git a/python/ray/data/_internal/planner/plan_all_to_all_op.py b/python/ray/data/_internal/planner/plan_all_to_all_op.py index d3c4c0ae74dc..75958bf81aca 100644 --- a/python/ray/data/_internal/planner/plan_all_to_all_op.py +++ b/python/ray/data/_internal/planner/plan_all_to_all_op.py @@ -38,9 +38,7 @@ def _plan_hash_shuffle_repartition( key_columns=tuple(normalized_key_columns), # noqa: type # NOTE: In case number of partitions is not specified, we fall back to # default min parallelism configured - num_partitions=( - logical_op._num_outputs or data_context.default_hash_shuffle_parallelism - ), + num_partitions=logical_op._num_outputs, should_sort=logical_op._sort, # TODO wire in aggregator args overrides ) @@ -65,9 +63,7 @@ def _plan_hash_shuffle_aggregate( aggregation_fns=tuple(logical_op._aggs), # noqa: type # NOTE: In case number of partitions is not specified, we fall back to # default min parallelism configured - num_partitions=( - logical_op._num_partitions or data_context.default_hash_shuffle_parallelism - ), + num_partitions=logical_op._num_partitions, # TODO wire in aggregator args overrides ) diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index 5cc78fb7aa3a..a33d82364012 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -104,7 +104,6 @@ def plan_join_op( data_context: DataContext, ) -> PhysicalOperator: assert len(physical_children) == 2 - assert logical_op._num_outputs is not None return JoinOperator( data_context=data_context, left_input_op=physical_children[0], diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 30daaf92249a..8705ecd25d45 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -83,11 +83,11 @@ class ShuffleStrategy(str, enum.Enum): ) DEFAULT_SHUFFLE_STRATEGY = os.environ.get( - "RAY_DATA_DEFAULT_SHUFFLE_STRATEGY", ShuffleStrategy.SORT_SHUFFLE_PULL_BASED + "RAY_DATA_DEFAULT_SHUFFLE_STRATEGY", ShuffleStrategy.HASH_SHUFFLE ) DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS = env_integer( - "RAY_DATA_MAX_HASH_SHUFFLE_AGGREGATORS", 64 + "RAY_DATA_MAX_HASH_SHUFFLE_AGGREGATORS", 128 ) DEFAULT_SCHEDULING_STRATEGY = "SPREAD" @@ -477,11 +477,13 @@ class DataContext: # provided explicitly) default_hash_shuffle_parallelism: int = DEFAULT_MIN_PARALLELISM - # Max number of aggregating actors that could be provisioned + # Max number of aggregators (actors) that could be provisioned # to perform aggregations on partitions produced during hash-shuffling # - # When unset defaults to `DataContext.min_parallelism` - max_hash_shuffle_aggregators: Optional[int] = DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS + # When unset defaults to the smaller of + # - Total # of CPUs available in the cluster * 2 + # - DEFAULT_MAX_HASH_SHUFFLE_AGGREGATORS (128 by default) + max_hash_shuffle_aggregators: Optional[int] = None min_hash_shuffle_aggregator_wait_time_in_s: int = ( DEFAULT_MIN_HASH_SHUFFLE_AGGREGATOR_WAIT_TIME_IN_S @@ -499,9 +501,11 @@ class DataContext: # When unset defaults to `DataContext.max_hash_shuffle_aggregators` max_hash_shuffle_finalization_batch_size: Optional[int] = None - join_operator_actor_num_cpus_per_partition_override: float = None - hash_shuffle_operator_actor_num_cpus_per_partition_override: float = None - hash_aggregate_operator_actor_num_cpus_per_partition_override: float = None + # (Advanced) Following configuration allows to override `num_cpus` allocation for the + # Join/Aggregate/Shuffle workers (utilizing hash-shuffle) + join_operator_actor_num_cpus_override: float = None + hash_shuffle_operator_actor_num_cpus_override: float = None + hash_aggregate_operator_actor_num_cpus_override: float = None scheduling_strategy: SchedulingStrategyT = DEFAULT_SCHEDULING_STRATEGY scheduling_strategy_large_args: SchedulingStrategyT = ( diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 46a81e5bc9db..5999b147ae1c 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -419,7 +419,7 @@ def read_datasource( ) cur_pg = ray.util.get_current_placement_group() - requested_parallelism, _, inmemory_size = _autodetect_parallelism( + requested_parallelism, _, _ = _autodetect_parallelism( parallelism, ctx.target_max_block_size, DataContext.get_current(), @@ -438,11 +438,10 @@ def read_datasource( read_op = Read( datasource, datasource_or_legacy_reader, - parallelism, - inmemory_size, - len(read_tasks) if read_tasks else 0, - ray_remote_args, - concurrency, + parallelism=parallelism, + num_outputs=len(read_tasks) if read_tasks else 0, + ray_remote_args=ray_remote_args, + concurrency=concurrency, ) execution_plan = ExecutionPlan( stats, diff --git a/python/ray/data/tests/test_consumption.py b/python/ray/data/tests/test_consumption.py index c8437d5aaa22..0f9b101a2f00 100644 --- a/python/ray/data/tests/test_consumption.py +++ b/python/ray/data/tests/test_consumption.py @@ -1255,7 +1255,7 @@ def test_iter_batches_grid(ray_start_regular_shared): def test_union(ray_start_regular_shared): - ds = ray.data.range(20, override_num_blocks=10) + ds = ray.data.range(20, override_num_blocks=10).materialize() # Test lazy union. ds = ds.union(ds, ds, ds, ds) diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 1b8c91474c82..130a21a8a766 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -25,7 +25,6 @@ from ray.data._internal.logical.interfaces import LogicalPlan from ray.data._internal.logical.interfaces.physical_plan import PhysicalPlan from ray.data._internal.logical.operators.all_to_all_operator import ( - Aggregate, RandomShuffle, Repartition, Sort, @@ -52,7 +51,6 @@ from ray.data._internal.planner import create_planner from ray.data._internal.planner.exchange.sort_task_spec import SortKey from ray.data._internal.stats import DatasetStats -from ray.data.aggregate import Count from ray.data.block import BlockMetadata from ray.data.context import DataContext from ray.data.datasource import Datasource @@ -694,28 +692,6 @@ def test_batch_format_on_aggregate(ray_start_regular_shared_2_cpus): ) == {"prod": 384} -def test_aggregate_operator(ray_start_regular_shared_2_cpus): - ctx = DataContext.get_current() - - planner = create_planner() - read_op = get_parquet_read_logical_op() - op = Aggregate( - read_op, - key="col1", - aggs=[Count()], - ) - plan = LogicalPlan(op, ctx) - physical_op = planner.plan(plan).dag - - assert op.name == "Aggregate" - assert isinstance(physical_op, AllToAllOperator) - assert len(physical_op.input_dependencies) == 1 - assert isinstance(physical_op.input_dependencies[0], MapOperator) - - # Check that the linked logical operator is the same the input op. - assert physical_op._logical_operators == [op] - - def test_aggregate_e2e(ray_start_regular_shared_2_cpus, configure_shuffle_method): ds = ray.data.range(100, override_num_blocks=4) ds = ds.groupby("id").count() @@ -741,13 +717,13 @@ def test_aggregate_validate_keys(ray_start_regular_shared_2_cpus): ) ds_groupby_col1 = ds_named.groupby("col1").count() - assert ds_groupby_col1.take_all() == [ + assert ds_groupby_col1.sort("col1").take_all() == [ {"col1": 1, "count()": 2}, {"col1": 2, "count()": 1}, {"col1": 3, "count()": 1}, ] ds_groupby_col2 = ds_named.groupby("col2").count() - assert ds_groupby_col2.take_all() == [ + assert ds_groupby_col2.sort("col2").take_all() == [ {"col2": "a", "count()": 1}, {"col2": "b", "count()": 1}, {"col2": "c", "count()": 2}, diff --git a/python/ray/data/tests/test_hash_shuffle.py b/python/ray/data/tests/test_hash_shuffle.py new file mode 100644 index 000000000000..6d9909799756 --- /dev/null +++ b/python/ray/data/tests/test_hash_shuffle.py @@ -0,0 +1,493 @@ +from dataclasses import dataclass +from typing import Any, Dict, Optional +from unittest.mock import MagicMock, patch + +import pytest + +from ray.data import DataContext, ExecutionResources +from ray.data._internal.execution.interfaces import PhysicalOperator +from ray.data._internal.execution.operators.hash_aggregate import HashAggregateOperator +from ray.data._internal.execution.operators.hash_shuffle import HashShuffleOperator +from ray.data._internal.execution.operators.join import JoinOperator +from ray.data._internal.logical.interfaces import LogicalOperator +from ray.data._internal.logical.operators.join_operator import JoinType +from ray.data._internal.util import GiB, MiB +from ray.data.aggregate import Count, Sum +from ray.data.block import BlockMetadata + + +@dataclass +class JoinTestCase: + # Expected outputs + expected_ray_remote_args: Dict[str, Any] + expected_num_partitions: int + expected_num_aggregators: int + + # Input dataset configurations + left_size_bytes: Optional[int] + right_size_bytes: Optional[int] + left_num_blocks: Optional[int] + right_num_blocks: Optional[int] + + # Join configuration + target_num_partitions: Optional[int] + + # Cluster resources (for testing different resource scenarios) + total_cpu: float = 4.0 + total_memory: int = 32 * GiB + + +@pytest.mark.parametrize( + "tc", + [ + # Case 1: Auto-derived partitions with limited CPUs + JoinTestCase( + left_size_bytes=1 * GiB, + right_size_bytes=2 * GiB, + left_num_blocks=10, + right_num_blocks=5, + target_num_partitions=None, # Auto-derive + total_cpu=4.0, + expected_num_partitions=10, # max(10, 5) + expected_num_aggregators=4, # min(10 partitions, 4 CPUs) = 4 + expected_ray_remote_args={ + "max_concurrency": 3, # ceil(10 partitions / 4 aggregators) + "num_cpus": 0.25, # 4 CPUs * 25% / 4 aggregators + "memory": 1771674012, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 2: Single partition (much higher memory overhead) + JoinTestCase( + left_size_bytes=1 * GiB, + right_size_bytes=1 * GiB, + left_num_blocks=10, + right_num_blocks=10, + target_num_partitions=1, + total_cpu=4.0, + expected_num_partitions=1, + expected_num_aggregators=1, # min(1 partition, 4 CPUs) = 1 + expected_ray_remote_args={ + "max_concurrency": 1, + "num_cpus": 1.0, # 4 CPUs * 25% / 1 aggregator + "memory": 8589934592, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 3: Limited CPU resources affecting num_cpus calculation + JoinTestCase( + left_size_bytes=2 * GiB, + right_size_bytes=2 * GiB, + left_num_blocks=20, + right_num_blocks=20, + target_num_partitions=40, + total_cpu=2.0, # Only 2 CPUs available + expected_num_partitions=40, + expected_num_aggregators=2, # min(40 partitions, 2 CPUs) = 2 + expected_ray_remote_args={ + "max_concurrency": 8, # min(ceil(40/2), 8) = 8 + "num_cpus": 0.25, # 2 CPUs * 25% / 2 aggregators + "memory": 2469606197, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 4: Testing with many CPUs and partitions + JoinTestCase( + left_size_bytes=10 * GiB, + right_size_bytes=10 * GiB, + left_num_blocks=100, + right_num_blocks=100, + target_num_partitions=100, + total_cpu=32.0, + expected_num_partitions=100, + expected_num_aggregators=32, # min(100 partitions, 32 CPUs) + expected_ray_remote_args={ + "max_concurrency": 4, # ceil(100 / 32) + "num_cpus": 0.25, # 32 CPUs * 25% / 32 aggregators + "memory": 1315333735, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 5: Testing max aggregators cap (128 default) + JoinTestCase( + left_size_bytes=50 * GiB, + right_size_bytes=50 * GiB, + left_num_blocks=200, + right_num_blocks=200, + target_num_partitions=200, + total_cpu=256.0, # Many CPUs + expected_num_partitions=200, + expected_num_aggregators=128, # min(200, min(256, 128 (default max)) + expected_ray_remote_args={ + "max_concurrency": 2, # ceil(200 / 128) + "num_cpus": 0.5, # 256 CPUs * 25% / 128 aggregators + "memory": 2449473536, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 6: Testing num_cpus derived from memory allocation + JoinTestCase( + left_size_bytes=50 * GiB, + right_size_bytes=50 * GiB, + left_num_blocks=200, + right_num_blocks=200, + target_num_partitions=None, + total_cpu=1024, # Many CPUs + expected_num_partitions=200, + expected_num_aggregators=128, # min(200, min(1000, 128 (default max)) + expected_ray_remote_args={ + "max_concurrency": 2, # ceil(200 / 128) + "num_cpus": 0.57, # ~2.5Gb / 4Gb = ~0.57 + "memory": 2449473536, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 7: No dataset size estimates available (fallback to default memory request) + JoinTestCase( + left_size_bytes=None, + right_size_bytes=None, + left_num_blocks=None, + right_num_blocks=None, + target_num_partitions=None, + total_cpu=32, + expected_num_partitions=200, # default parallelism + expected_num_aggregators=32, # min(200, min(1000, 128 (default max)) + expected_ray_remote_args={ + "max_concurrency": 7, # ceil(200 / 32) + "num_cpus": 0.25, # 32 * 25% / 32 + # Default fallback of 2Gb + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + ], +) +def test_join_aggregator_remote_args( + ray_start_regular, + tc, +): + """Test that join operator correctly estimates memory, CPU, and other resources + for Aggregator actors based on dataset size estimates as well as cluster resources. + """ + + left_logical_op_mock = MagicMock(LogicalOperator) + left_logical_op_mock.infer_metadata.return_value = BlockMetadata( + num_rows=None, + size_bytes=tc.left_size_bytes, + exec_stats=None, + input_files=None, + ) + left_logical_op_mock.estimated_num_outputs.return_value = tc.left_num_blocks + + left_op_mock = MagicMock(PhysicalOperator) + left_op_mock._output_dependencies = [] + left_op_mock._logical_operators = [left_logical_op_mock] + + right_logical_op_mock = MagicMock(LogicalOperator) + right_logical_op_mock.infer_metadata.return_value = BlockMetadata( + num_rows=None, + size_bytes=tc.right_size_bytes, + exec_stats=None, + input_files=None, + ) + right_logical_op_mock.estimated_num_outputs.return_value = tc.right_num_blocks + + right_op_mock = MagicMock(PhysicalOperator) + right_op_mock._output_dependencies = [] + right_op_mock._logical_operators = [right_logical_op_mock] + + # Patch the total cluster resources + with patch( + "ray.data._internal.execution.operators.hash_shuffle.ray.cluster_resources", + return_value={"CPU": tc.total_cpu, "memory": tc.total_memory}, + ): + # Create the join operator + op = JoinOperator( + left_input_op=left_op_mock, + right_input_op=right_op_mock, + data_context=DataContext.get_current(), + left_key_columns=("id",), + right_key_columns=("id",), + join_type=JoinType.INNER, + num_partitions=tc.target_num_partitions, + ) + + # Validate the estimations + assert op._num_partitions == tc.expected_num_partitions + + assert op._aggregator_pool.num_aggregators == tc.expected_num_aggregators + assert ( + op._aggregator_pool._aggregator_ray_remote_args + == tc.expected_ray_remote_args + ) + + +@dataclass +class HashOperatorTestCase: + # Expected outputs + expected_ray_remote_args: Dict[str, Any] + expected_num_partitions: int + expected_num_aggregators: int + # Input dataset configuration + input_size_bytes: Optional[int] + input_num_blocks: Optional[int] + # Operator configuration + target_num_partitions: Optional[int] + # Cluster resources (for testing different resource scenarios) + total_cpu: float = 4.0 + total_memory: int = 32 * GiB + + +@pytest.mark.parametrize( + "tc", + [ + # Case 1: Auto-derived partitions with limited CPUs + HashOperatorTestCase( + input_size_bytes=2 * GiB, + input_num_blocks=16, + target_num_partitions=None, + total_cpu=4.0, + expected_num_partitions=16, + expected_num_aggregators=4, + expected_ray_remote_args={ + "max_concurrency": 4, + "num_cpus": 0.16, + "memory": 671088640, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 2: Single partition produced + HashOperatorTestCase( + input_size_bytes=512 * MiB, + input_num_blocks=8, + target_num_partitions=1, + total_cpu=8.0, + expected_num_partitions=1, + expected_num_aggregators=1, + expected_ray_remote_args={ + "max_concurrency": 1, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 3: Many CPUs + HashOperatorTestCase( + input_size_bytes=16 * GiB, + input_num_blocks=128, + target_num_partitions=32, + total_cpu=256.0, + expected_num_partitions=32, + expected_num_aggregators=32, + expected_ray_remote_args={ + "max_concurrency": 1, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 4: Testing num_cpus derived from memory allocation + HashOperatorTestCase( + input_size_bytes=50 * GiB, + input_num_blocks=200, + target_num_partitions=None, + total_cpu=1024, # Many CPUs + expected_num_partitions=200, + expected_num_aggregators=128, # min(200, min(1000, 128 (default max)) + expected_ray_remote_args={ + "max_concurrency": 2, # ceil(200 / 128) + "num_cpus": 0.16, # ~0.6Gb / 4Gb = ~0.16 + "memory": 687865856, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 6: No dataset size estimate inferred (fallback to default memory request) + HashOperatorTestCase( + input_size_bytes=None, + input_num_blocks=None, + target_num_partitions=None, + total_cpu=32.0, + expected_num_partitions=200, + expected_num_aggregators=32, + expected_ray_remote_args={ + "max_concurrency": 7, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + ], +) +def test_hash_aggregate_operator_remote_args( + ray_start_regular, + tc, +): + """Test that HashAggregateOperator correctly estimates memory, CPU, and other resources + for aggregator actors based on dataset size estimates as well as cluster resources. + """ + logical_op_mock = MagicMock(LogicalOperator) + logical_op_mock.infer_metadata.return_value = BlockMetadata( + num_rows=None, + size_bytes=tc.input_size_bytes, + exec_stats=None, + input_files=None, + ) + logical_op_mock.estimated_num_outputs.return_value = tc.input_num_blocks + + op_mock = MagicMock(PhysicalOperator) + op_mock._output_dependencies = [] + op_mock._logical_operators = [logical_op_mock] + + # Create some test aggregation functions + agg_fns = [Sum("value"), Count()] + + # Patch the total cluster resources + with patch( + "ray.data._internal.execution.operators.hash_shuffle.ray.cluster_resources", + return_value={"CPU": tc.total_cpu, "memory": tc.total_memory}, + ): + # Create the hash aggregate operator + op = HashAggregateOperator( + input_op=op_mock, + data_context=DataContext.get_current(), + aggregation_fns=agg_fns, + key_columns=("id",), + num_partitions=tc.target_num_partitions, + ) + + # Validate the estimations + assert op._num_partitions == tc.expected_num_partitions + assert op._aggregator_pool.num_aggregators == tc.expected_num_aggregators + assert ( + op._aggregator_pool._aggregator_ray_remote_args + == tc.expected_ray_remote_args + ) + + +@pytest.mark.parametrize( + "tc", + [ + # Case 1: Auto-derived partitions with limited CPUs + HashOperatorTestCase( + input_size_bytes=2 * GiB, + input_num_blocks=16, + target_num_partitions=None, + total_cpu=4.0, + expected_num_partitions=16, + expected_num_aggregators=4, + expected_ray_remote_args={ + "max_concurrency": 4, + "num_cpus": 0.16, + "memory": 671088640, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 2: Single partition produced + HashOperatorTestCase( + input_size_bytes=512 * MiB, + input_num_blocks=8, + target_num_partitions=1, + total_cpu=8.0, + expected_num_partitions=1, + expected_num_aggregators=1, + expected_ray_remote_args={ + "max_concurrency": 1, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 3: Many CPUs + HashOperatorTestCase( + input_size_bytes=16 * GiB, + input_num_blocks=128, + target_num_partitions=32, + total_cpu=256.0, + expected_num_partitions=32, + expected_num_aggregators=32, + expected_ray_remote_args={ + "max_concurrency": 1, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 4: Testing num_cpus derived from memory allocation + HashOperatorTestCase( + input_size_bytes=50 * GiB, + input_num_blocks=200, + target_num_partitions=None, + total_cpu=1024, # Many CPUs + expected_num_partitions=200, + expected_num_aggregators=128, # min(200, min(1000, 128 (default max)) + expected_ray_remote_args={ + "max_concurrency": 2, # ceil(200 / 128) + "num_cpus": 0.16, # ~0.6Gb / 4Gb = ~0.16 + "memory": 687865856, + "scheduling_strategy": "SPREAD", + }, + ), + # Case 5: No dataset size estimate inferred (fallback to default memory request) + HashOperatorTestCase( + input_size_bytes=None, + input_num_blocks=None, + target_num_partitions=None, + total_cpu=32.0, + expected_num_partitions=200, + expected_num_aggregators=32, + expected_ray_remote_args={ + "max_concurrency": 7, + "num_cpus": 0.25, + "memory": 1073741824, + "scheduling_strategy": "SPREAD", + }, + ), + ], +) +def test_hash_shuffle_operator_remote_args( + ray_start_regular, + tc, +): + """Test that HashShuffleOperator correctly estimates memory, CPU, and other resources + for aggregator actors based on dataset size estimates as well as cluster resources. + """ + logical_op_mock = MagicMock(LogicalOperator) + logical_op_mock.infer_metadata.return_value = BlockMetadata( + num_rows=None, + size_bytes=tc.input_size_bytes, + exec_stats=None, + input_files=None, + ) + logical_op_mock.estimated_num_outputs.return_value = tc.input_num_blocks + + op_mock = MagicMock(PhysicalOperator) + op_mock._output_dependencies = [] + op_mock._logical_operators = [logical_op_mock] + + # Patch the total cluster resources + with patch( + "ray.data._internal.execution.operators.hash_shuffle.ray.cluster_resources", + return_value={"CPU": tc.total_cpu, "memory": tc.total_memory}, + ): + with patch( + "ray.data._internal.execution.operators.hash_shuffle._get_total_cluster_resources" + ) as mock_resources: + mock_resources.return_value = ExecutionResources( + cpu=tc.total_cpu, memory=tc.total_memory + ) + + # Create the hash shuffle operator + op = HashShuffleOperator( + input_op=op_mock, + data_context=DataContext.get_current(), + key_columns=("id",), + num_partitions=tc.target_num_partitions, + ) + + # Validate the estimations + assert op._num_partitions == tc.expected_num_partitions + assert op._aggregator_pool.num_aggregators == tc.expected_num_aggregators + assert ( + op._aggregator_pool._aggregator_ray_remote_args + == tc.expected_ray_remote_args + ) diff --git a/python/ray/data/tests/test_join.py b/python/ray/data/tests/test_join.py index 27935db52858..e745ca340550 100644 --- a/python/ray/data/tests/test_join.py +++ b/python/ray/data/tests/test_join.py @@ -1,5 +1,4 @@ from typing import Optional -from unittest.mock import MagicMock import numpy as np import pandas as pd @@ -8,30 +7,14 @@ import ray from ray._private.arrow_utils import get_pyarrow_version -from ray.data._internal.execution.interfaces import PhysicalOperator -from ray.data._internal.execution.operators.join import JoinOperator from ray.data._internal.logical.operators.join_operator import JoinType -from ray.data._internal.util import GiB, MiB +from ray.data._internal.util import MiB from ray.data.context import DataContext from ray.data.dataset import Dataset from ray.exceptions import RayTaskError from ray.tests.conftest import * # noqa -@pytest.fixture -def nullify_shuffle_aggregator_num_cpus(): - ctx = ray.data.context.DataContext.get_current() - - original = ctx.join_operator_actor_num_cpus_per_partition_override - # NOTE: We override this to reduce hardware requirements - # for every aggregator - ctx.join_operator_actor_num_cpus_per_partition_override = 0.001 - - yield - - ctx.join_operator_actor_num_cpus_per_partition_override = original - - @pytest.mark.parametrize( "num_rows_left,num_rows_right,partition_size_hint", [ @@ -45,7 +28,6 @@ def nullify_shuffle_aggregator_num_cpus(): ) def test_simple_inner_join( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, num_rows_left: int, num_rows_right: int, partition_size_hint: Optional[int], @@ -112,7 +94,6 @@ def test_simple_inner_join( ) def test_simple_left_right_outer_semi_anti_join( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, join_type, num_rows_left, num_rows_right, @@ -201,7 +182,6 @@ def test_simple_left_right_outer_semi_anti_join( ) def test_simple_full_outer_join( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, num_rows_left, num_rows_right, ): @@ -376,67 +356,9 @@ def test_invalid_join_not_matching_key_columns( ) -def test_default_shuffle_aggregator_args(): - parent_op_mock = MagicMock(PhysicalOperator) - parent_op_mock._output_dependencies = [] - - op = JoinOperator( - left_input_op=parent_op_mock, - right_input_op=parent_op_mock, - data_context=DataContext.get_current(), - left_key_columns=("id",), - right_key_columns=("id",), - join_type=JoinType.INNER, - num_partitions=16, - ) - - # - 1 partition per aggregator - # - No partition size hint - args = op._get_default_aggregator_ray_remote_args( - num_partitions=16, - num_aggregators=16, - partition_size_hint=None, - ) - - assert { - "num_cpus": 0.125, - "memory": 939524096, - "scheduling_strategy": "SPREAD", - } == args - - # - 4 partitions per aggregator - # - No partition size hint - args = op._get_default_aggregator_ray_remote_args( - num_partitions=64, - num_aggregators=16, - partition_size_hint=None, - ) - - assert { - "num_cpus": 0.5, - "memory": 1744830464, - "scheduling_strategy": "SPREAD", - } == args - - # - 4 partitions per aggregator - # - No partition size hint - args = op._get_default_aggregator_ray_remote_args( - num_partitions=64, - num_aggregators=16, - partition_size_hint=1 * GiB, - ) - - assert { - "num_cpus": 0.5, - "memory": 13958643712, - "scheduling_strategy": "SPREAD", - } == args - - @pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) def test_anti_join_no_matches( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, join_type, ): """Test anti-join when there are no matches - should return all rows from respective side""" @@ -476,7 +398,6 @@ def test_anti_join_no_matches( @pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) def test_anti_join_all_matches( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, join_type, ): """Test anti-join when all rows match - should return empty result""" @@ -507,7 +428,6 @@ def test_anti_join_all_matches( @pytest.mark.parametrize("join_type", ["left_anti", "right_anti"]) def test_anti_join_multi_key( ray_start_regular_shared_2_cpus, - nullify_shuffle_aggregator_num_cpus, join_type, ): """Test anti-join with multiple join keys""" diff --git a/python/ray/data/tests/test_mongo.py b/python/ray/data/tests/test_mongo.py index 7b1f8b8b59b0..e9ad7dcd43d1 100644 --- a/python/ray/data/tests/test_mongo.py +++ b/python/ray/data/tests/test_mongo.py @@ -236,7 +236,7 @@ def test_mongo_datasource(ray_start_regular_shared, start_mongo): ).materialize() assert str(ds) == ( "MaterializedDataset(\n" - " num_blocks=200,\n" + " num_blocks=2,\n" " num_rows=5,\n" " schema={_id: fixed_size_binary[12], float_field: double, " "int_field: int32}\n" diff --git a/python/ray/data/tests/test_operator_fusion.py b/python/ray/data/tests/test_operator_fusion.py index a01f6b3c898e..28db544c9f04 100644 --- a/python/ray/data/tests/test_operator_fusion.py +++ b/python/ray/data/tests/test_operator_fusion.py @@ -291,7 +291,6 @@ def test_read_with_map_batches_fused_successfully( get_read_tasks=lambda _: [MagicMock()] ), parallelism=1, - mem_size=1, ), False, ), diff --git a/python/ray/data/tests/test_repartition_e2e.py b/python/ray/data/tests/test_repartition_e2e.py index 481022738a01..28155c36b2ed 100644 --- a/python/ray/data/tests/test_repartition_e2e.py +++ b/python/ray/data/tests/test_repartition_e2e.py @@ -43,7 +43,7 @@ def test_key_based_repartition_shuffle( context = DataContext.get_current() context.shuffle_strategy = ShuffleStrategy.HASH_SHUFFLE - context.hash_shuffle_operator_actor_num_cpus_per_partition_override = 0.001 + context.hash_shuffle_operator_actor_num_cpus_override = 0.001 ds = ray.data.range(20, override_num_blocks=10) assert ds._plan.initial_num_blocks() == 10 diff --git a/python/ray/data/tests/test_resource_manager.py b/python/ray/data/tests/test_resource_manager.py index fe03b8d1d3be..ea3048adc0fc 100644 --- a/python/ray/data/tests/test_resource_manager.py +++ b/python/ray/data/tests/test_resource_manager.py @@ -68,15 +68,24 @@ def mock_join_op( right_input_op, incremental_resource_usage=None, ): - op = JoinOperator( - DataContext.get_current(), - left_input_op, - right_input_op, - ("id",), - ("id",), - "inner", - num_partitions=1, - ) + left_input_op._logical_operators = [(MagicMock())] + right_input_op._logical_operators = [(MagicMock())] + + with patch( + "ray.data._internal.execution.operators.hash_shuffle._get_total_cluster_resources" + ) as mock: + mock.return_value = ExecutionResources(cpu=1) + + op = JoinOperator( + DataContext.get_current(), + left_input_op, + right_input_op, + ("id",), + ("id",), + "inner", + num_partitions=1, + partition_size_hint=1, + ) op.start = MagicMock(side_effect=lambda _: None) if incremental_resource_usage is not None: @@ -829,7 +838,7 @@ def test_get_ineligible_ops_with_usage_complex_graph(self, restore_data_context) o6 (UnionOperator) <-- | v - o8 (JoinOperator) <-- o7 (InputDataBuffer, completed) + o8 (ZipOperator) <-- o7 (InputDataBuffer, completed) """ DataContext.get_current().op_resource_reservation_enabled = True @@ -940,7 +949,7 @@ def test_reservation_accounts_for_completed_ops_complex_graph( o6 (UnionOperator) <-- | v - o8 (JoinOperator) <-- o7 (InputDataBuffer, completed) + o8 (ZipOperator) <-- o7 (InputDataBuffer, completed) """ DataContext.get_current().op_resource_reservation_enabled = True DataContext.get_current().op_resource_reservation_ratio = 0.5 diff --git a/python/ray/data/tests/test_split.py b/python/ray/data/tests/test_split.py index 792436588439..4b60f96c40ee 100644 --- a/python/ray/data/tests/test_split.py +++ b/python/ray/data/tests/test_split.py @@ -85,7 +85,7 @@ def count(s): ([2, 5], 1), # Single split. ], ) -def test_equal_split_balanced(ray_start_regular_shared, block_sizes, num_splits): +def test_equal_split_balanced(ray_start_regular_shared_2_cpus, block_sizes, num_splits): _test_equal_split_balanced(block_sizes, num_splits) @@ -126,7 +126,7 @@ def _test_equal_split_balanced(block_sizes, num_splits): assert len(set(extract_values("id", split_rows))) == len(split_rows) -def test_equal_split_balanced_grid(ray_start_regular_shared): +def test_equal_split_balanced_grid(ray_start_regular_shared_2_cpus): # Tests balanced equal splitting over a grid of configurations. # Grid: num_blocks x num_splits x num_rows_block_1 x ... x num_rows_block_n seed = int(time.time()) @@ -155,7 +155,7 @@ def test_equal_split_balanced_grid(ray_start_regular_shared): _test_equal_split_balanced(block_sizes, num_splits) -def test_split_small(ray_start_regular_shared): +def test_split_small(ray_start_regular_shared_2_cpus): x = [Counter.remote() for _ in range(4)] data = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] fail = [] @@ -199,7 +199,7 @@ def take(s): assert not fail, fail -def test_split_at_indices_simple(ray_start_regular_shared): +def test_split_at_indices_simple(ray_start_regular_shared_2_cpus): ds = ray.data.range(10, override_num_blocks=3) with pytest.raises(ValueError): @@ -257,7 +257,9 @@ def test_split_at_indices_simple(ray_start_regular_shared): [7, 11, 23, 33], ], ) -def test_split_at_indices_coverage(ray_start_regular_shared, num_blocks, indices): +def test_split_at_indices_coverage( + ray_start_regular_shared_2_cpus, num_blocks, indices +): # Test that split_at_indices() creates the expected splits on a set of partition and # indices configurations. ds = ray.data.range(20, override_num_blocks=num_blocks) @@ -286,7 +288,7 @@ def test_split_at_indices_coverage(ray_start_regular_shared, num_blocks, indices ], # Selected three-split cases ) def test_split_at_indices_coverage_complete( - ray_start_regular_shared, num_blocks, indices + ray_start_regular_shared_2_cpus, num_blocks, indices ): # Test that split_at_indices() creates the expected splits on a set of partition and # indices configurations. @@ -297,7 +299,7 @@ def test_split_at_indices_coverage_complete( assert r == [arr.tolist() for arr in np.array_split(list(range(10)), indices)] -def test_split_proportionately(ray_start_regular_shared): +def test_split_proportionately(ray_start_regular_shared_2_cpus): ds = ray.data.range(10, override_num_blocks=3) with pytest.raises(ValueError): @@ -335,7 +337,7 @@ def test_split_proportionately(ray_start_regular_shared): ds.split_proportionately([0.90] + ([0.001] * 90)) -def test_split(ray_start_regular_shared): +def test_split(ray_start_regular_shared_2_cpus): ds = ray.data.range(20, override_num_blocks=10) assert ds._plan.initial_num_blocks() == 10 assert ds.sum() == 190 @@ -364,7 +366,7 @@ def test_split(ray_start_regular_shared): assert 190 == sum([dataset.sum("id") or 0 for dataset in datasets]) -def test_split_hints(ray_start_regular_shared): +def test_split_hints(ray_start_regular_shared_2_cpus): @ray.remote class Actor(object): def __init__(self): @@ -520,7 +522,7 @@ def _create_blocks_with_metadata(blocks): return _create_blocklist(blocks).get_blocks_with_metadata() -def test_split_single_block(ray_start_regular_shared): +def test_split_single_block(ray_start_regular_shared_2_cpus): block = pd.DataFrame({"id": [1, 2, 3]}) metadata = _create_meta(3) @@ -597,7 +599,7 @@ def verify_splits(splits, blocks_by_split): assert meta.num_rows == len(block) -def test_generate_global_split_results(ray_start_regular_shared): +def test_generate_global_split_results(ray_start_regular_shared_2_cpus): inputs = [ _create_block_and_metadata([1]), _create_block_and_metadata([2, 3]), @@ -618,7 +620,7 @@ def test_generate_global_split_results(ray_start_regular_shared): verify_splits(splits, [[], []]) -def test_private_split_at_indices(ray_start_regular_shared): +def test_private_split_at_indices(ray_start_regular_shared_2_cpus): inputs = _create_blocks_with_metadata([]) splits = list(zip(*_split_at_indices(inputs, [0]))) verify_splits(splits, [[], []]) @@ -673,7 +675,7 @@ def verify_equalize_result(input_block_lists, expected_block_lists): assert result_block_lists == expected_block_lists -def test_equalize(ray_start_regular_shared): +def test_equalize(ray_start_regular_shared_2_cpus): verify_equalize_result([], []) verify_equalize_result([[]], [[]]) verify_equalize_result([[[1]], []], [[], []]) @@ -687,7 +689,7 @@ def test_equalize(ray_start_regular_shared): ) -def test_equalize_randomized(ray_start_regular_shared): +def test_equalize_randomized(ray_start_regular_shared_2_cpus): # verify the entries in the splits are in the range of 0 .. num_rows, # unique, and the total number matches num_rows if exact_num == True. def assert_unique_and_inrange(splits, num_rows, exact_num=False): @@ -741,7 +743,7 @@ def random_split(num_rows, num_split): assert_equal_split(equalized_splits, num_rows, num_split) -def test_train_test_split(ray_start_regular_shared): +def test_train_test_split(ray_start_regular_shared_2_cpus): ds = ray.data.range(8) # float @@ -756,8 +758,8 @@ def test_train_test_split(ray_start_regular_shared): # shuffle train, test = ds.train_test_split(test_size=0.25, shuffle=True, seed=1) - assert extract_values("id", train.take()) == [4, 5, 3, 2, 7, 6] - assert extract_values("id", test.take()) == [0, 1] + assert extract_values("id", train.take()) == [7, 4, 6, 0, 5, 2] + assert extract_values("id", test.take()) == [1, 3] # error handling with pytest.raises(TypeError): @@ -776,7 +778,7 @@ def test_train_test_split(ray_start_regular_shared): ds.train_test_split(test_size=9) -def test_train_test_split_stratified(ray_start_regular_shared): +def test_train_test_split_stratified(ray_start_regular_shared_2_cpus): # Test basic stratification with simple dataset data = [ {"id": 0, "label": "A"}, @@ -807,7 +809,7 @@ def test_train_test_split_stratified(ray_start_regular_shared): assert test_label_counts == {"A": 1, "B": 1, "C": 1} -def test_train_test_split_shuffle_stratify_error(ray_start_regular_shared): +def test_train_test_split_shuffle_stratify_error(ray_start_regular_shared_2_cpus): # Test that shuffle=True and stratify cannot be used together data = [ {"id": 0, "label": "A"}, @@ -824,7 +826,7 @@ def test_train_test_split_shuffle_stratify_error(ray_start_regular_shared): ds.train_test_split(test_size=0.5, shuffle=True, stratify="label") -def test_train_test_split_stratified_imbalanced(ray_start_regular_shared): +def test_train_test_split_stratified_imbalanced(ray_start_regular_shared_2_cpus): # Test stratified split with imbalanced class distribution data = [ {"id": 0, "label": "A"}, diff --git a/python/ray/data/tests/test_strict_mode.py b/python/ray/data/tests/test_strict_mode.py index cb96898d4571..1564c6f84e09 100644 --- a/python/ray/data/tests/test_strict_mode.py +++ b/python/ray/data/tests/test_strict_mode.py @@ -11,7 +11,7 @@ from ray.tests.conftest import * # noqa -def test_strict_read_schemas(ray_start_regular_shared): +def test_strict_read_schemas(ray_start_regular_shared_2_cpus): ds = ray.data.range(1) assert ds.take()[0] == {"id": 0} @@ -43,7 +43,7 @@ def test_strict_read_schemas(ray_start_regular_shared): assert "text" in ds.take()[0] -def test_strict_map_output(ray_start_regular_shared): +def test_strict_map_output(ray_start_regular_shared_2_cpus): ds = ray.data.range(1) with pytest.raises(ValueError): @@ -80,7 +80,7 @@ def test_strict_map_output(ray_start_regular_shared): ds.map(lambda x: UserDict({"x": object()})).materialize() -def test_strict_convert_map_output(ray_start_regular_shared): +def test_strict_convert_map_output(ray_start_regular_shared_2_cpus): ds = ray.data.range(1).map_batches(lambda x: {"id": [0, 1, 2, 3]}).materialize() assert ds.take_batch()["id"].tolist() == [0, 1, 2, 3] @@ -102,7 +102,7 @@ def __eq__(self, other): assert ds.take_batch()["id"].tolist() == [0, 1, 2, UserObj()] -def test_strict_convert_map_groups(ray_start_regular_shared): +def test_strict_convert_map_groups(ray_start_regular_shared_2_cpus): ds = ray.data.read_csv("example://iris.csv") def process_group(group): @@ -119,7 +119,7 @@ def process_group(group): ds.show() -def test_strict_default_batch_format(ray_start_regular_shared): +def test_strict_default_batch_format(ray_start_regular_shared_2_cpus): ds = ray.data.range(1) @ray.remote @@ -147,7 +147,9 @@ def f(x): @pytest.mark.parametrize("shape", [(10,), (10, 2)]) -def test_strict_tensor_support(ray_start_regular_shared, restore_data_context, shape): +def test_strict_tensor_support( + ray_start_regular_shared_2_cpus, restore_data_context, shape +): DataContext.get_current().enable_fallback_to_arrow_object_ext_type = False ds = ray.data.from_items([np.ones(shape), np.ones(shape)]) @@ -160,7 +162,7 @@ def test_strict_tensor_support(ray_start_regular_shared, restore_data_context, s assert np.array_equal(ds.take()[0]["item"], 4 * np.ones(shape)) -def test_strict_value_repr(ray_start_regular_shared): +def test_strict_value_repr(ray_start_regular_shared_2_cpus): ds = ray.data.from_items([{"__value__": np.ones(10)}]) ds = ds.map_batches(lambda x: {"__value__": x["__value__"] * 2}) @@ -169,19 +171,19 @@ def test_strict_value_repr(ray_start_regular_shared): assert np.array_equal(ds.take_batch()["x"][0], 4 * np.ones(10)) -def test_strict_object_support(ray_start_regular_shared): +def test_strict_object_support(ray_start_regular_shared_2_cpus): ds = ray.data.from_items([{"x": 2}, {"x": object()}]) ds.map_batches(lambda x: x, batch_format="numpy").materialize() -def test_strict_compute(ray_start_regular_shared): +def test_strict_compute(ray_start_regular_shared_2_cpus): with pytest.raises(ValueError): ray.data.range(10).map(lambda x: x, compute="actors").show() with pytest.raises(ValueError): ray.data.range(10).map(lambda x: x, compute="tasks").show() -def test_strict_schema(ray_start_regular_shared): +def test_strict_schema(ray_start_regular_shared_2_cpus): import pyarrow as pa from ray.data._internal.pandas_block import PandasBlockSchema @@ -249,7 +251,7 @@ def _id(batch): assert schema.types == [expected_arrow_ext_type] -def test_use_raw_dicts(ray_start_regular_shared): +def test_use_raw_dicts(ray_start_regular_shared_2_cpus): assert type(ray.data.range(10).take(1)[0]) is dict assert type(ray.data.from_items([1]).take(1)[0]) is dict diff --git a/python/ray/data/tests/test_util.py b/python/ray/data/tests/test_util.py index 557925fa6168..31b8e0ab9e91 100644 --- a/python/ray/data/tests/test_util.py +++ b/python/ray/data/tests/test_util.py @@ -205,13 +205,9 @@ def get_parquet_read_logical_op( datasource = ParquetDatasource(paths="example://iris.parquet") if "parallelism" not in read_kwargs: read_kwargs["parallelism"] = 10 - mem_size = None - if "mem_size" in read_kwargs: - mem_size = read_kwargs.pop("mem_size") read_op = Read( datasource=datasource, datasource_or_legacy_reader=datasource, - mem_size=mem_size, ray_remote_args=ray_remote_args, **read_kwargs, ) From 642afd291e96d87e5e8fab8723688bff82766507 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 22 Sep 2025 09:07:16 -0700 Subject: [PATCH 1312/1566] [ci] use `BUILDKITE_CACHE_READONLY` to control remote cache upload (#56752) replaces caching control that is based on pipeline id Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 2 +- ci/build/build-manylinux-ray.sh | 2 +- ci/docker/base.cu128.wanda.yaml | 2 +- ci/docker/base.gpu.Dockerfile | 21 +++++++-------------- ci/docker/base.gpu.py39.wanda.yaml | 2 +- ci/docker/base.gpu.wanda.yaml | 2 +- ci/env/install-bazel.sh | 2 +- ci/ray_ci/tests.env.Dockerfile | 2 +- ci/ray_ci/windows/build_ray.sh | 2 +- python/build-wheel-windows.sh | 3 +-- 10 files changed, 16 insertions(+), 24 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 2b92f09cb6bf..665d74dda90e 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -387,7 +387,7 @@ steps: - oss instance_type: medium commands: - - if [[ "$${BUILDKITE_PIPELINE_ID}" == "0189942e-0876-4b8f-80a4-617f988ec59b" ]]; then + - if [[ "$${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> ~/.bazelrc; fi - ci/ci.sh build diff --git a/ci/build/build-manylinux-ray.sh b/ci/build/build-manylinux-ray.sh index c32d23ac6347..f7c84add0751 100755 --- a/ci/build/build-manylinux-ray.sh +++ b/ci/build/build-manylinux-ray.sh @@ -2,7 +2,7 @@ set -exuo pipefail # Do not upload results to remote cache for pull requests -if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then +if [[ "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> ~/.bazelrc fi diff --git a/ci/docker/base.cu128.wanda.yaml b/ci/docker/base.cu128.wanda.yaml index 8ddc50496b5c..16479484c4e6 100644 --- a/ci/docker/base.cu128.wanda.yaml +++ b/ci/docker/base.cu128.wanda.yaml @@ -10,7 +10,7 @@ srcs: - ci/env/install-miniforge.sh - ci/suppress_output build_args: - - REMOTE_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL + - BUILDKITE_BAZEL_CACHE_URL - PYTHON - BASE_IMAGE=nvidia/cuda:12.8.1-cudnn-devel-ubuntu20.04 tags: diff --git a/ci/docker/base.gpu.Dockerfile b/ci/docker/base.gpu.Dockerfile index 61ab269745a5..35d090cdb38a 100644 --- a/ci/docker/base.gpu.Dockerfile +++ b/ci/docker/base.gpu.Dockerfile @@ -2,10 +2,7 @@ ARG BASE_IMAGE=nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04 FROM $BASE_IMAGE -ARG REMOTE_CACHE_URL -ARG BUILDKITE_PULL_REQUEST -ARG BUILDKITE_COMMIT -ARG BUILDKITE_PULL_REQUEST_BASE_BRANCH +ARG BUILDKITE_BAZEL_CACHE_URL ARG PYTHON=3.9 ENV DEBIAN_FRONTEND=noninteractive @@ -18,11 +15,7 @@ ENV PYTHON=$PYTHON ENV RAY_USE_RANDOM_PORTS=1 ENV RAY_DEFAULT_BUILD=1 ENV RAY_INSTALL_JAVA=0 -ENV BUILDKITE_PULL_REQUEST=${BUILDKITE_PULL_REQUEST} -ENV BUILDKITE_COMMIT=${BUILDKITE_COMMIT} -ENV BUILDKITE_PULL_REQUEST_BASE_BRANCH=${BUILDKITE_PULL_REQUEST_BASE_BRANCH} -ENV TRAVIS_COMMIT=${BUILDKITE_COMMIT} -ENV BUILDKITE_BAZEL_CACHE_URL=${REMOTE_CACHE_URL} +ENV BUILDKITE_BAZEL_CACHE_URL=${BUILDKITE_BAZEL_CACHE_URL} RUN <> /root/.bazelrc + +# TODO(aslonnie): allow caching on trusted pipeline builds. +echo "build --remote_upload_local_results=false" >> /root/.bazelrc + EOF # System conf for tests @@ -60,11 +58,6 @@ ENV LC_ALL=en_US.utf8 ENV LANG=en_US.utf8 RUN echo "ulimit -c 0" >> /root/.bashrc -# Setup Bazel caches -RUN (echo "build --remote_cache=${REMOTE_CACHE_URL}" >> /root/.bazelrc); \ - (if [ "${BUILDKITE_PULL_REQUEST}" != "false" ]; then (echo "build --remote_upload_local_results=false" >> /root/.bazelrc); fi); \ - cat /root/.bazelrc - # Install some dependencies (miniforge, pip dependencies, etc) RUN mkdir /ray WORKDIR /ray diff --git a/ci/docker/base.gpu.py39.wanda.yaml b/ci/docker/base.gpu.py39.wanda.yaml index f8e9d0a3bbdd..1d9626f5e113 100644 --- a/ci/docker/base.gpu.py39.wanda.yaml +++ b/ci/docker/base.gpu.py39.wanda.yaml @@ -16,6 +16,6 @@ srcs: - ci/env/install-miniforge.sh - ci/suppress_output build_args: - - REMOTE_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL + - BUILDKITE_BAZEL_CACHE_URL tags: - cr.ray.io/rayproject/oss-ci-base_gpu diff --git a/ci/docker/base.gpu.wanda.yaml b/ci/docker/base.gpu.wanda.yaml index 81553f6486c2..8dd4940f12b9 100644 --- a/ci/docker/base.gpu.wanda.yaml +++ b/ci/docker/base.gpu.wanda.yaml @@ -10,7 +10,7 @@ srcs: - ci/env/install-miniforge.sh - ci/suppress_output build_args: - - REMOTE_CACHE_URL=$BUILDKITE_BAZEL_CACHE_URL + - BUILDKITE_BAZEL_CACHE_URL - PYTHON tags: - cr.ray.io/rayproject/oss-ci-base_gpu-py$PYTHON diff --git a/ci/env/install-bazel.sh b/ci/env/install-bazel.sh index 27119123987e..f95131e7d2e8 100755 --- a/ci/env/install-bazel.sh +++ b/ci/env/install-bazel.sh @@ -116,7 +116,7 @@ if [[ "${CI-}" == "true" && "${BUILDKITE-}" != "" ]]; then echo "build --repository_cache=/tmp/bazel-repo-cache" >> ~/.bazelrc elif [[ "${BUILDKITE_BAZEL_CACHE_URL:-}" != "" ]]; then echo "build --remote_cache=${BUILDKITE_BAZEL_CACHE_URL}" >> ~/.bazelrc - if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then + if [[ "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> ~/.bazelrc fi fi diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index b46849fadd10..904354927cbc 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -23,7 +23,7 @@ RUN <> ~/.bazelrc fi diff --git a/ci/ray_ci/windows/build_ray.sh b/ci/ray_ci/windows/build_ray.sh index 2731118742ce..e1c2ae21cb59 100644 --- a/ci/ray_ci/windows/build_ray.sh +++ b/ci/ray_ci/windows/build_ray.sh @@ -16,7 +16,7 @@ cd /c/rayci echo "build --remote_cache=${BUILDKITE_BAZEL_CACHE_URL}"; } >> ~/.bazelrc -if [[ "$BUILDKITE_PIPELINE_ID" == "0189942e-0876-4b8f-80a4-617f988ec59b" ]]; then +if [[ "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then # Do not upload cache results for premerge pipeline echo "build --remote_upload_local_results=false" >> ~/.bazelrc fi diff --git a/python/build-wheel-windows.sh b/python/build-wheel-windows.sh index 623d4db613a2..ff7a063bb532 100755 --- a/python/build-wheel-windows.sh +++ b/python/build-wheel-windows.sh @@ -99,8 +99,7 @@ build_wheel_windows() { echo "build --remote_cache=${BUILDKITE_BAZEL_CACHE_URL}"; } >> ~/.bazelrc - if [[ "${BUILDKITE_PIPELINE_ID:-}" == "0189942e-0876-4b8f-80a4-617f988ec59b" || "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then - # Do not upload cache results for premerge pipeline + if [[ "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> ~/.bazelrc fi From 84f642bba6ee27677b7eedb4e1de83e7709443da Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 22 Sep 2025 09:07:30 -0700 Subject: [PATCH 1313/1566] [release test] globbing release test definition yaml files (#56772) so that it is possible to shard the files. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 650571eec8eb..0394c44afa8c 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -753,10 +753,7 @@ py_binary( py_binary( name = "custom_byod_build_init", srcs = ["ray_release/scripts/custom_byod_build_init.py"], - data = [ - "release_data_tests.yaml", - "release_tests.yaml", - ], + data = glob(["release_*.yaml"]), exec_compatible_with = ["//:hermetic_python"], deps = [ ":ray_release", From e97797212c1c20d08549c36095c16c4da56fc30b Mon Sep 17 00:00:00 2001 From: Artur Niederfahrenhorst Date: Mon, 22 Sep 2025 18:34:44 +0200 Subject: [PATCH 1314/1566] [RLlib] Add tests for SA episode setter methods (#56582) ## Why are these changes needed? This PR is the prerequisite for MultiAgentEpisode's setter methods. I'm about to introduce these, but needed to understand and verify that the single agent episode's setter methods work as expected. Signed-off-by: Douglas Strodtman --- rllib/env/tests/test_single_agent_episode.py | 107 ++++++++++++++++++- 1 file changed, 106 insertions(+), 1 deletion(-) diff --git a/rllib/env/tests/test_single_agent_episode.py b/rllib/env/tests/test_single_agent_episode.py index 8411017bf08f..60ddcef5b054 100644 --- a/rllib/env/tests/test_single_agent_episode.py +++ b/rllib/env/tests/test_single_agent_episode.py @@ -1,7 +1,7 @@ from collections import defaultdict from typing import Any, Dict, Optional, SupportsFloat, Tuple import unittest - +import copy import gymnasium as gym from gymnasium.core import ActType, ObsType import numpy as np @@ -672,6 +672,111 @@ def test_get_and_from_state(self): check(episode_2.custom_data, episode.custom_data) self.assertDictEqual(episode_2.extra_model_outputs, episode.extra_model_outputs) + def test_setters(self): + """Tests whether the SingleAgentEpisode's setter methods work as expected. + + Also tests numpy'ized episodes. + + This test covers all setter methods: + - set_observations + - set_actions + - set_rewards + - set_extra_model_outputs + + Each setter is tested with various indexing scenarios including: + - Single index + - List of indices + - Slice objects + - Negative indices (both regular and lookback buffer interpretation) + """ + SOME_KEY = "some_key" + + # Create a simple episode without lookback buffer first for basic tests + episode = SingleAgentEpisode( + observations=[100, 101, 102, 103, 104, 105, 106], + actions=[1, 2, 3, 4, 5, 6], + rewards=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6], + extra_model_outputs={ + SOME_KEY: [0.01, 0.02, 0.03, 0.04, 0.05, 0.06], + }, + len_lookback_buffer=0, + ) + + test_patterns = [ + # (description, new_data, indices) + ("zero index", 7353.0, 0), + ("single index", 7353.0, 2), + ("negative index", 7353.0, -1), + ("short list of indices", [7353.0], [1]), + ("long list of indices", [73.0, 53.0, 35.0, 53.0], [1, 2, 3, 4]), + ("short slice", [7353.0], slice(2, 3)), + ("long slice", [7.0, 3.0, 5.0, 3.0], slice(2, 6)), + ] + + # Test set_rewards with all patterns + numpy_episode = copy.deepcopy(episode).to_numpy() + + for e in [episode, numpy_episode]: + print(f"Testing numpy'ized={e.is_numpy}...") + for desc, new_data, indices in test_patterns: + print(f"Testing {desc}...") + + expected_data = new_data + if e.is_numpy and isinstance(new_data, list): + new_data = np.array(new_data) + + e.set_observations(new_data=new_data, at_indices=indices) + check(e.get_observations(indices), expected_data) + + e.set_actions(new_data=new_data, at_indices=indices) + check(e.get_actions(indices), expected_data) + + e.set_rewards(new_data=new_data, at_indices=indices) + check(e.get_rewards(indices), expected_data) + + e.set_extra_model_outputs( + key=SOME_KEY, new_data=new_data, at_indices=indices + ) + actual_data = e.get_extra_model_outputs(SOME_KEY) + if ( + desc == "single index" + or desc == "zero index" + or desc == "negative index" + ): + check( + actual_data[e.t_started + indices], + expected_data, + ) + elif desc == "long list of indices" or desc == "short list of indices": + actual_values = actual_data[ + slice(e.t_started + indices[0], e.t_started + indices[-1] + 1) + ] + check(actual_values, expected_data) + elif desc == "long slice" or desc == "short slice": + actual_values = [ + actual_data[e.t_started + i] + for i in range(indices.start, indices.stop) + ] + check(actual_values, expected_data) + else: + raise ValueError(f"Invalid test pattern: {desc}") + + def test_setters_error_cases(self): + """Tests error cases for setter methods.""" + episode = self._create_episode(100) + + # Test IndexError when slice size doesn't match data size for observations + with self.assertRaises(IndexError): + episode.set_observations( + new_data=[7, 3, 5, 3], at_indices=slice(0, 2) + ) # Slice of size 2, data of size 4 + + # Test AssertionError when key doesn't exist for extra_model_outputs + with self.assertRaises(AssertionError): + episode.set_extra_model_outputs( + key="nonexistent_key", new_data=999, at_indices=0 + ) + def _create_episode(self, num_data, t_started=None, len_lookback_buffer=0): # Sample 100 values and initialize episode with observations and infos. env = gym.make("CartPole-v1") From 654872e50dc55c9aaa8b154e42382e0776731b14 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 22 Sep 2025 10:18:14 -0700 Subject: [PATCH 1315/1566] [Data] - SQL when sharding disabled avoid count(*) (#56763) ## Why are these changes needed? When sharding isn't supported, calling `count(*)` is wasting compute resources. We will default back to single read task parallelism ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- .../_internal/datasource/sql_datasource.py | 21 ++++++++++--------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/python/ray/data/_internal/datasource/sql_datasource.py b/python/ray/data/_internal/datasource/sql_datasource.py index 1d615a06ab6d..f955d03f8d25 100644 --- a/python/ray/data/_internal/datasource/sql_datasource.py +++ b/python/ray/data/_internal/datasource/sql_datasource.py @@ -128,6 +128,17 @@ def fallback_read_fn() -> Iterable[Block]: cursor.execute(self.sql) return [_cursor_to_block(cursor)] + # Check if sharding is supported by the database first + # If not, fall back to reading all data in a single task without counting rows + if not self.supports_sharding(parallelism): + logger.info( + "Sharding is not supported. " + "Falling back to reading all data in a single task." + ) + metadata = BlockMetadata(None, None, None, None) + return [ReadTask(fallback_read_fn, metadata)] + + # Only perform the expensive COUNT(*) query if sharding is supported num_rows_total = self._get_num_rows() if num_rows_total == 0: @@ -139,16 +150,6 @@ def fallback_read_fn() -> Iterable[Block]: num_rows_per_block = num_rows_total // parallelism num_blocks_with_extra_row = num_rows_total % parallelism - # Check if sharding is supported by the database - # If not, fall back to reading all data in a single task - if not self.supports_sharding(parallelism): - logger.info( - "Sharding is not supported. " - "Falling back to reading all data in a single task." - ) - metadata = BlockMetadata(None, None, None, None) - return [ReadTask(fallback_read_fn, metadata)] - tasks = [] for i in range(parallelism): num_rows = num_rows_per_block From 40afac1b9b84f57ab5664ea25721f41a850bafbb Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 22 Sep 2025 12:21:47 -0500 Subject: [PATCH 1316/1566] [core] Add missing tests for doc examples (#56786) Add testing for `nested-tasks.rst` and `map_reduce.ipynb`. Renamed `web-crawler` to `web_crawler` for consistency with others in the directory. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 19 ++++++++++++++++++- doc/source/ray-core/doc_code/nested-tasks.py | 8 ++++++++ doc/source/ray-core/examples/overview.rst | 2 +- .../{web-crawler.ipynb => web_crawler.ipynb} | 0 doc/source/ray-core/tasks/nested-tasks.rst | 2 +- doc/source/ray-overview/use-cases.rst | 2 +- 6 files changed, 29 insertions(+), 4 deletions(-) rename doc/source/ray-core/examples/{web-crawler.ipynb => web_crawler.ipynb} (100%) diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 2dcca3b6ac1e..5d7c3d17cc4d 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -107,13 +107,29 @@ py_test( ], ) +py_test( + name = "map_reduce", + size = "medium", + srcs = ["test_myst_doc.py"], + args = [ + "--path", + "doc/source/ray-core/examples/map_reduce.ipynb", + ], + data = ["//doc/source/ray-core/examples:core_examples"], + main = "test_myst_doc.py", + tags = [ + "exclusive", + "team:core", + ], +) + py_test( name = "web_crawler", size = "medium", srcs = ["test_myst_doc.py"], args = [ "--path", - "doc/source/ray-core/examples/web-crawler.ipynb", + "doc/source/ray-core/examples/web_crawler.ipynb", ], data = ["//doc/source/ray-core/examples:core_examples"], main = "test_myst_doc.py", @@ -511,6 +527,7 @@ doctest( ], exclude = [ "source/ray-core/handling-dependencies.rst", + # The `doc_code/` snippet for `nested-tasks.rst` is tested. "source/ray-core/tasks/nested-tasks.rst", ], ), diff --git a/doc/source/ray-core/doc_code/nested-tasks.py b/doc/source/ray-core/doc_code/nested-tasks.py index 10b0a399ec68..51e5f368b16f 100644 --- a/doc/source/ray-core/doc_code/nested-tasks.py +++ b/doc/source/ray-core/doc_code/nested-tasks.py @@ -24,6 +24,12 @@ def h(): # __nested_end__ +ray.init(num_cpus=4, num_gpus=1) + +obj_refs = ray.get(g.remote()) +assert len(obj_refs) == 4 +assert all(isinstance(o, ray.ObjectRef) for o in obj_refs) + # __yield_start__ @ray.remote(num_cpus=1, num_gpus=1) @@ -32,3 +38,5 @@ def g(): # __yield_end__ + +assert ray.get(g.remote()) == 1 diff --git a/doc/source/ray-core/examples/overview.rst b/doc/source/ray-core/examples/overview.rst index d04c2b55bf39..ac601330bdff 100644 --- a/doc/source/ray-core/examples/overview.rst +++ b/doc/source/ray-core/examples/overview.rst @@ -30,7 +30,7 @@ Intermediate .. list-table:: * - :doc:`Running a Simple MapReduce Example with Ray Core ` - * - :doc:`Speed Up Your Web Crawler by Parallelizing it with Ray ` + * - :doc:`Speed Up Your Web Crawler by Parallelizing it with Ray ` Advanced diff --git a/doc/source/ray-core/examples/web-crawler.ipynb b/doc/source/ray-core/examples/web_crawler.ipynb similarity index 100% rename from doc/source/ray-core/examples/web-crawler.ipynb rename to doc/source/ray-core/examples/web_crawler.ipynb diff --git a/doc/source/ray-core/tasks/nested-tasks.rst b/doc/source/ray-core/tasks/nested-tasks.rst index f700968314b6..817b165ea466 100644 --- a/doc/source/ray-core/tasks/nested-tasks.rst +++ b/doc/source/ray-core/tasks/nested-tasks.rst @@ -11,7 +11,7 @@ For example, consider the following. Then calling ``g`` and ``h`` produces the following behavior. -.. code:: python +.. code-block:: bash >>> ray.get(g.remote()) [ObjectRef(b1457ba0911ae84989aae86f89409e953dd9a80e), diff --git a/doc/source/ray-overview/use-cases.rst b/doc/source/ray-overview/use-cases.rst index b4d74d51f0d7..dddad992eefd 100644 --- a/doc/source/ray-overview/use-cases.rst +++ b/doc/source/ray-overview/use-cases.rst @@ -181,4 +181,4 @@ The following highlights feature projects leveraging Ray Core's distributed APIs - `[Blog] Highly Available and Scalable Online Applications on Ray at Ant Group `_ - `[Blog] Ray Forward 2022 Conference: Hyper-scale Ray Application Use Cases `_ - `[Blog] A new world record on the CloudSort benchmark using Ray `_ -- :doc:`[Example] Speed up your web crawler by parallelizing it with Ray ` +- :doc:`[Example] Speed up your web crawler by parallelizing it with Ray ` From 8561839167a344fa3015e583ed90f45c26c7e515 Mon Sep 17 00:00:00 2001 From: avigyabb <98926738+avigyabb@users.noreply.github.com> Date: Mon, 22 Sep 2025 10:31:55 -0700 Subject: [PATCH 1317/1566] [core][GPU Objects] Clean up pygloo and use torch_gloo in all cases (#56171) Close https://github.com/ray-project/ray/issues/54627 Since pygloo is deprecated, we should use torch_gloo in all cases, and the pygloo code should also be cleaned up. extended from https://github.com/ray-project/ray/pull/54905 --------- Signed-off-by: avigyabb Signed-off-by: Ubuntu Signed-off-by: Avi Basnet Signed-off-by: avigyabb <98926738+avigyabb@users.noreply.github.com> Co-authored-by: Qiaolin-Yu Co-authored-by: Ubuntu Signed-off-by: Douglas Strodtman --- doc/source/ray-more-libs/ray-collective.rst | 8 +- .../ray/experimental/collective/collective.py | 6 +- .../collective/nixl_tensor_transport.py | 4 +- .../gpu_objects/test_gpu_objects_gloo.py | 52 +- python/ray/util/collective/collective.py | 69 ++- .../collective_group/gloo_collective_group.py | 570 ------------------ .../collective/collective_group/gloo_util.py | 316 ---------- .../collective_group/nccl_collective_group.py | 12 +- .../torch_gloo_collective_group.py | 128 ++-- python/ray/util/collective/tests/conftest.py | 22 +- .../test_gloo_group_isolation.py | 9 +- python/ray/util/collective/types.py | 2 + 12 files changed, 206 insertions(+), 992 deletions(-) delete mode 100644 python/ray/util/collective/collective_group/gloo_collective_group.py delete mode 100644 python/ray/util/collective/collective_group/gloo_util.py diff --git a/doc/source/ray-more-libs/ray-collective.rst b/doc/source/ray-more-libs/ray-collective.rst index c0c5d4f6afaf..0ac3cd4a84dc 100644 --- a/doc/source/ray-more-libs/ray-collective.rst +++ b/doc/source/ray-more-libs/ray-collective.rst @@ -30,7 +30,7 @@ See below the current support matrix for all collective calls with different bac :header-rows: 1 * - Backend - - `gloo `_ + - `torch.distributed.gloo `_ - - `nccl `_ - @@ -110,12 +110,12 @@ Usage Installation and Importing ^^^^^^^^^^^^^^^^^^^^^^^^^^ -Ray collective library is bundled with the released Ray wheel. Besides Ray, users need to install either `pygloo `_ -or `cupy `_ in order to use collective communication with the GLOO and NCCL backend, respectively. +Ray collective library is bundled with the released Ray wheel. Besides Ray, users need to install either `torch `_ +or `cupy `_ in order to use collective communication with the GLOO (torch.distributed.gloo) and NCCL backend, respectively. .. code-block:: python - pip install pygloo + pip install torch pip install cupy-cudaxxx # replace xxx with the right cuda version in your environment To use these APIs, import the collective package in your actor/task or driver code via: diff --git a/python/ray/experimental/collective/collective.py b/python/ray/experimental/collective/collective.py index db60fd500dab..f8b896b423b8 100644 --- a/python/ray/experimental/collective/collective.py +++ b/python/ray/experimental/collective/collective.py @@ -150,7 +150,7 @@ def create_collective_group( raise ValueError(f"All actors must be unique, got: {actors}") metadata_key = None - if backend == Backend.TORCH_GLOO: + if backend == Backend.GLOO: # Perform extra setup for torch.distributed. # torch.distributed requires a master address and port. Find a suitable # port on one of the actors. @@ -178,7 +178,9 @@ def create_collective_group( internal_kv._internal_kv_del(metadata_key) # Group was successfully created. - comm = CommunicatorHandle(actors, name, backend) + # Register GLOO groups under TORCH_GLOO since GLOO uses torch.distributed. + registration_backend = Backend.TORCH_GLOO if backend == Backend.GLOO else backend + comm = CommunicatorHandle(actors, name, registration_backend) manager.add_remote_communicator(comm) return comm diff --git a/python/ray/experimental/collective/nixl_tensor_transport.py b/python/ray/experimental/collective/nixl_tensor_transport.py index 40701590e9d0..28a6f2519df4 100644 --- a/python/ray/experimental/collective/nixl_tensor_transport.py +++ b/python/ray/experimental/collective/nixl_tensor_transport.py @@ -4,7 +4,6 @@ from ray.experimental.collective.tensor_transport_manager import ( TensorTransportManager, ) -from ray.util.collective.collective import get_group_handle from ray.util.collective.types import ( NIXL_GROUP_NAME, Backend, @@ -30,6 +29,8 @@ def __ray_actor_has_tensor_transport__( self: "ray.actor.ActorHandle", ) -> bool: try: + from ray.util.collective.collective import get_group_handle + nixl_backend = get_group_handle(NIXL_GROUP_NAME) return nixl_backend is not None except Exception: @@ -45,6 +46,7 @@ def __ray_actor_has_tensor_transport__( def extract_tensor_transport_metadata( gpu_object: List["torch.Tensor"], ) -> NixlTransportMetadata: + from ray.util.collective.collective import get_group_handle from ray.util.collective.collective_group.nixl_backend import NixlBackend from ray.util.collective.types import NixlTransportMetadata diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index df9ce44e2d7b..7b9d6e475aa5 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -71,7 +71,7 @@ def test_gc_gpu_object(ray_start_regular, data_size_bytes): """ world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") small_tensor = torch.randn((1,)) cpu_data = b"1" * data_size_bytes @@ -113,7 +113,7 @@ def test_gc_del_ref_before_recv_finish(ray_start_regular, data_size_bytes): """ world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") small_tensor = torch.randn((1,)) cpu_data = b"1" * data_size_bytes @@ -147,7 +147,7 @@ def test_gc_intra_actor_gpu_object(ray_start_regular): This test checks that passes a GPU object ref to the same actor multiple times. """ actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") small_tensor = torch.randn((1,)) @@ -173,7 +173,7 @@ def test_gc_pass_ref_to_same_and_different_actors(ray_start_regular): """ actor1 = GPUTestActor.remote() actor2 = GPUTestActor.remote() - create_collective_group([actor1, actor2], backend="torch_gloo") + create_collective_group([actor1, actor2], backend="gloo") small_tensor = torch.randn((1,)) @@ -201,7 +201,7 @@ def test_gc_pass_ref_to_same_and_different_actors(ray_start_regular): def test_p2p(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") small_tensor = torch.randn((1,)) sender = actors[0] @@ -268,7 +268,7 @@ def echo(self, data): sender, receiver = GPUTestActor.remote(), GPUTestActor.remote() signal = SignalActor.remote() - create_collective_group([sender, receiver], backend="torch_gloo") + create_collective_group([sender, receiver], backend="gloo") tensor = torch.randn((500, 500)) # If the actor does not have a tensor transport method declared, declare it # dynamically using .options(). @@ -292,7 +292,7 @@ def echo(self, data): def test_p2p_with_cpu_data(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") sender = actors[0] receiver = actors[1] @@ -306,7 +306,7 @@ def test_p2p_with_cpu_data(ray_start_regular): def test_send_same_ref_to_same_actor_task_multiple_times(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") small_tensor = torch.randn((1,)) sender = actors[0] @@ -326,7 +326,7 @@ def test_send_same_ref_to_same_actor_task_multiple_times(ray_start_regular): def test_send_same_ref_to_same_actor_multiple_times(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") small_tensor = torch.randn((1,)) sender = actors[0] @@ -342,7 +342,7 @@ def test_send_same_ref_to_same_actor_multiple_times(ray_start_regular): def test_intra_gpu_tensor_transfer(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") small_tensor = torch.randn((1,)) @@ -373,7 +373,7 @@ def test_intra_gpu_tensor_transfer(ray_start_regular): def test_send_same_ref_multiple_times_intra_actor(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") small_tensor = torch.randn((1,)) @@ -385,7 +385,7 @@ def test_send_same_ref_multiple_times_intra_actor(ray_start_regular): def test_mix_cpu_gpu_data(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") tensor = torch.randn((1,)) cpu_data = random.randint(0, 100) @@ -408,7 +408,7 @@ def test_object_in_plasma(ray_start_regular): """ world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") tensor = torch.randn((1,)) cpu_data = b"1" * 1000 * 1000 @@ -426,7 +426,7 @@ def test_object_in_plasma(ray_start_regular): def test_multiple_tensors(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") tensor1 = torch.randn((1,)) tensor2 = torch.randn((2,)) @@ -461,7 +461,7 @@ def test_multiple_tensors(ray_start_regular): def test_trigger_out_of_band_tensor_transfer(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") src_actor, dst_actor = actors[0], actors[1] @@ -493,7 +493,7 @@ def test_trigger_out_of_band_tensor_transfer(ray_start_regular): def test_fetch_gpu_object_to_driver(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") tensor1 = torch.tensor([1, 2, 3]) tensor2 = torch.tensor([4, 5, 6]) @@ -534,7 +534,7 @@ def echo(self, data): def test_tensordict_transfer(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") td = TensorDict( {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] @@ -555,7 +555,7 @@ def test_tensordict_transfer(ray_start_regular): def test_nested_tensordict(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") inner_td = TensorDict( {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] @@ -579,7 +579,7 @@ def test_nested_tensordict(ray_start_regular): ) def test_tensor_extracted_from_tensordict_in_gpu_object_store(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") td = TensorDict( {"action": torch.randn((2,)), "reward": torch.randn((2,))}, batch_size=[2] @@ -623,7 +623,7 @@ def double(self, data): # Create actor without any tensor_transport decorators sender = TestActor.remote() receiver = TestActor.remote() - create_collective_group([sender, receiver], backend="torch_gloo") + create_collective_group([sender, receiver], backend="gloo") # Test normal method call result = ray.get(sender.normal_method.remote()) @@ -650,7 +650,7 @@ def double(self, data): def test_app_error_inter_actor(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") src_actor, dst_actor = actors[0], actors[1] @@ -668,7 +668,7 @@ def test_app_error_inter_actor(ray_start_regular): def test_app_error_intra_actor(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") # Make sure the receiver can receive an exception from the sender. ref = actor.fail.options(tensor_transport="gloo").remote("test_app_error") @@ -684,7 +684,7 @@ def test_app_error_intra_actor(ray_start_regular): def test_app_error_fetch_to_driver(ray_start_regular): actor = GPUTestActor.remote() - create_collective_group([actor], backend="torch_gloo") + create_collective_group([actor], backend="gloo") ref = actor.fail.options(tensor_transport="gloo").remote("test_app_error") with pytest.raises(Exception, match="test_app_error"): @@ -719,7 +719,7 @@ def increment_saved(self): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") medium_tensor = torch.randn((500, 500)) sender, receiver = actors @@ -810,7 +810,7 @@ def test_send_back_and_dst_warning(ray_start_regular): # Test warning when object is sent back to the src actor and to dst actors world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") src_actor, dst_actor = actors[0], actors[1] @@ -833,7 +833,7 @@ def test_send_back_and_dst_warning(ray_start_regular): def test_duplicate_objectref_transfer(ray_start_regular): world_size = 2 actors = [GPUTestActor.remote() for _ in range(world_size)] - create_collective_group(actors, backend="torch_gloo") + create_collective_group(actors, backend="gloo") actor0, actor1 = actors[0], actors[1] small_tensor = torch.randn((1,)) diff --git a/python/ray/util/collective/collective.py b/python/ray/util/collective/collective.py index 06c71eacbfc4..e06f2bb57d2d 100644 --- a/python/ray/util/collective/collective.py +++ b/python/ray/util/collective/collective.py @@ -2,12 +2,20 @@ import logging import os +import time from typing import List import numpy as np import ray -from ray.util.collective import types +import ray.experimental.internal_kv as _internal_kv +from . import types +from ray.experimental.collective.util import ( + get_address_and_port as _get_address_and_port, +) +from ray.util.collective.collective_group.torch_gloo_collective_group import ( + get_master_address_metadata_key as _get_master_addr_key, +) logger = logging.getLogger(__name__) @@ -20,13 +28,6 @@ _NCCL_AVAILABLE = False _LOG_NCCL_WARNING = True -try: - from ray.util.collective.collective_group.gloo_collective_group import GLOOGroup - - _GLOO_AVAILABLE = True -except ImportError: - _GLOO_AVAILABLE = False - try: from ray.util.collective.collective_group.torch_gloo_collective_group import ( @@ -58,7 +59,9 @@ def nccl_available(): def gloo_available(): - return _GLOO_AVAILABLE + # Since we use torch_gloo as the backend for Gloo, + # we can just return the availability of torch.distributed. + return _TORCH_DISTRIBUTED_AVAILABLE def torch_distributed_available(): @@ -92,24 +95,35 @@ def create_collective_group( backend = types.Backend(backend) if backend == types.Backend.MPI: raise RuntimeError("Ray does not support MPI.") - elif backend == types.Backend.GLOO: - logger.debug("Creating GLOO group: '{}'...".format(group_name)) - g = GLOOGroup( - world_size, - rank, - group_name, - store_type="ray_internal_kv", - device_type="tcp", - gloo_timeout=gloo_timeout, + elif backend == types.Backend.GLOO or backend == types.Backend.TORCH_GLOO: + # Rendezvous: ensure a MASTER_ADDR:MASTER_PORT is published in internal_kv. + metadata_key = _get_master_addr_key(group_name) + if rank == 0: + addr, port = _get_address_and_port() + _internal_kv._internal_kv_put(metadata_key, f"{addr}:{port}") + else: + # Wait until rank 0 publishes the metadata or timeout. + deadline_s = time.time() + ( + gloo_timeout / 1000.0 if gloo_timeout else 30.0 + ) + while True: + meta = _internal_kv._internal_kv_get(metadata_key) + if meta is not None: + break + if time.time() > deadline_s: + raise TimeoutError( + f"Timed out waiting for GLOO rendezvous metadata for group '{group_name}'." + ) + time.sleep(0.05) + + logger.debug( + "Creating torch.distributed GLOO group: '{}'...".format(group_name) ) + g = TorchGLOOGroup(world_size, rank, group_name, gloo_timeout) elif backend == types.Backend.NCCL: + _check_backend_availability(backend) logger.debug("Creating NCCL group: '{}'...".format(group_name)) g = NCCLGroup(world_size, rank, group_name) - elif backend == types.Backend.TORCH_GLOO: - logger.debug( - "Creating torch.distributed GLOO group: '{}'...".format(group_name) - ) - g = TorchGLOOGroup(world_size, rank, group_name) elif backend == types.Backend.NIXL: _check_backend_availability(backend) logger.debug("Creating NIXL Backend: '{}'...".format(group_name)) @@ -542,13 +556,13 @@ def reducescatter( _check_single_tensor_input(tensor) _check_tensor_list_input(tensor_list) g = get_group_handle(group_name) + opts = types.ReduceScatterOptions() + opts.reduceOp = op if len(tensor_list) != g.world_size: raise RuntimeError( "The length of the tensor list operands to reducescatter " "must not be equal to world_size." ) - opts = types.ReduceScatterOptions() - opts.reduceOp = op g.reducescatter([tensor], [tensor_list], opts) @@ -795,8 +809,9 @@ def _check_single_tensor_input(tensor): def _check_backend_availability(backend: types.Backend): """Check whether the backend is available.""" if backend == types.Backend.GLOO: - if not gloo_available(): - raise RuntimeError("GLOO is not available.") + # Now we have deprecated pygloo, and use torch_gloo in all cases. + if not torch_distributed_available(): + raise RuntimeError("torch.distributed is not available.") elif backend == types.Backend.NCCL: if not nccl_available(): raise RuntimeError("NCCL is not available.") diff --git a/python/ray/util/collective/collective_group/gloo_collective_group.py b/python/ray/util/collective/collective_group/gloo_collective_group.py deleted file mode 100644 index 5809c12b44b3..000000000000 --- a/python/ray/util/collective/collective_group/gloo_collective_group.py +++ /dev/null @@ -1,570 +0,0 @@ -import datetime -import logging -import os -import shutil -import time - -import numpy -import pygloo - -import ray -from ray._common.network_utils import parse_address -from ray._private import ray_constants -from ray.util.collective.collective_group import gloo_util -from ray.util.collective.collective_group.base_collective_group import BaseGroup -from ray.util.collective.const import get_store_name -from ray.util.collective.types import ( - AllGatherOptions, - AllReduceOptions, - Backend, - BarrierOptions, - BroadcastOptions, - RecvOptions, - ReduceOptions, - ReduceScatterOptions, - SendOptions, -) - -logger = logging.getLogger(__name__) - - -class Rendezvous: - """A rendezvous class for different actor/task processes to meet. - - To initialize an GLOO collective communication group, different - actors/tasks spawned in Ray in a collective group needs to meet - each other to synchronize the GLOOUniqueID. This class guarantees - they meet via the GLOOUniqueIDStore, initialized on the rank=0 - process. - - Args: - group_name: the unique user-specified group name. - """ - - def __init__(self, group_name, context, store_type, device_type): - self._group_name = group_name - self._context = context - redis_address = ray._private.worker._global_node.redis_address - (self._redis_ip_address, self._redis_port) = ( - parse_address(redis_address) if store_type == "redis" else (None, None) - ) - self._process_ip_address = ray.util.get_node_ip_address() - logger.debug( - "Redis address: {}, port: {}, this actor address: {}.".format( - self._redis_ip_address, self._redis_port, self._process_ip_address - ) - ) - self._store_type = store_type - self._device_type = device_type - self._store = None - self._device = None - self.create_store(store_type) - self.create_device(device_type) - - def create_store(self, store_type): - if store_type == "ray_internal_kv": - ray_internal_kv_store = gloo_util.RayInternalKvStore(self._group_name) - self._store = pygloo.rendezvous.CustomStore(ray_internal_kv_store) - elif store_type == "redis": - redisStore = pygloo.rendezvous.RedisStore( - self._redis_ip_address, int(self._redis_port) - ) - redis_password = ray._private.worker._global_node.redis_password - if redis_password is None or len(redis_password) == 0: - redis_password = ray_constants.REDIS_DEFAULT_PASSWORD - redisStore.authorize(redis_password) - self._store = redisStore - elif store_type == "file": - store_name = get_store_name(self._group_name) - store_path = gloo_util.get_gloo_store_path(store_name) - if self._context.rank == 0: - if not os.path.exists(store_path): - os.makedirs(store_path) - elif os.listdir(store_path) and os.listdir(store_path): - shutil.rmtree(store_path) - os.makedirs(store_path) - else: - while not os.path.exists(store_path): - time.sleep(0.1) - # Note: multi-machines needs a shared NFS. - fileStore = pygloo.rendezvous.FileStore(store_path) - self._store = pygloo.rendezvous.PrefixStore(self._group_name, fileStore) - elif store_type == "hash": - raise NotImplementedError("No implementation for hash store.") - else: - raise RuntimeError("Unrecognized store type: {}.".format(store_type)) - - def create_device(self, device_type): - if device_type == "tcp": - attr = pygloo.transport.tcp.attr(self._process_ip_address) - self._device = pygloo.transport.tcp.CreateDevice(attr) - elif device_type == "uv": - raise NotImplementedError("No implementation for uv.") - - def meet(self, timeout_s=180): - """Meet at the named actor store. - - Args: - timeout_s: timeout in seconds. - - Return: - None - """ - if timeout_s <= 0: - raise ValueError( - "The 'timeout' argument must be positive. " - "Got '{}'.".format(timeout_s) - ) - - timeout_delta = datetime.timedelta(seconds=timeout_s) - elapsed = datetime.timedelta(seconds=0) - start_time = datetime.datetime.now() - q, s = None, None - - if self._store_type == "redis" or self._store_type == "ray_internal_kv": - while elapsed < timeout_delta: - try: - # I don't quite understand why we need gloo queue actor. - q = ray.get_actor("gloo_queue") - s = ray.get_actor(f"gloo_{self._group_name}_signal") - break - except ValueError: - if self._context.rank == 0: - if not q: - ray.remote(gloo_util.glooQueue).options( - name="gloo_queue", lifetime="detached" - ).remote(1000) - if not s: - gloo_util.SignalActor.options( - name=f"gloo_{self._group_name}_signal", - lifetime="detached", - ).remote(self._context.size) - else: - time.sleep(0.1) - elapsed = datetime.datetime.now() - start_time - if not q: - raise RuntimeError("Unable to get gloo_queue.") - if self._context.rank == 0: - ray.get(q.put_nowait.remote(self._group_name)) - while ray.get(q.index.remote(self._group_name)): - time.sleep(0.1) - - self._context.connectFullMesh(self._store, self._device) - ray.get(s.send.remote(self._context.rank)) - if self._context.rank == 0: - ray.get(s.wait.remote()) - keys = [] - keys += [f"rank_{i}" for i in range(self._context.size)] - keys += [f"{i}" for i in range(self._context.size)] - self._store.delKeys(keys) - group_name = ray.get(q.get_nowait.remote()) - assert group_name == self._group_name - ray.kill(s) - - @property - def store_type(self): - return self._store_type - - @property - def store(self): - return self._store - - @property - def device_type(self): - return self._device_type - - @property - def device(self): - return self._device - - def destroy(self): - """GC the store and device used by this rendevzous.""" - self._device = None - - -class GLOOGroup(BaseGroup): - def __init__( - self, - world_size, - rank, - group_name, - store_type="ray_internal_kv", - device_type="tcp", - gloo_timeout=30000, - ): - """Init an GLOO collective group. - - Args: - world_size: The number of processes. - rank: The id of process - group_name: The unique user-specified group name. - store_type: The store type. Optional: "redis", - "file", "hash". - device_type: The device type to transport. - Optional: "tcp", "uv". - gloo_timeout: The timeout for GLOO rendezvous in ms. - Optional: int, default: 30000. - """ - super(GLOOGroup, self).__init__(world_size, rank, group_name) - self._gloo_context = gloo_util.create_gloo_context(self.rank, self.world_size) - self._gloo_context.setTimeout(gloo_timeout) - self._rendezvous = Rendezvous( - self.group_name, self._gloo_context, store_type, device_type - ) - self._rendezvous.meet() - - def destroy_group(self): - """Destroy the group and release GLOO communicators.""" - self._rendezvous.destroy() - - if self._gloo_context is not None: - pygloo.barrier(self._gloo_context) - # destroy the communicator - self._gloo_context = None - - if self.rank == 0 and self._rendezvous.store_type == "file": - store_name = get_store_name(self._group_name) - store_path = gloo_util.get_gloo_store_path(store_name) - if os.path.exists(store_path): - shutil.rmtree(store_path) - super(GLOOGroup, self).destroy_group() - - @classmethod - def backend(cls): - return Backend.GLOO - - def allreduce(self, tensors, allreduce_options=AllReduceOptions()): - """AllReduce a list of tensors following options. - - Args: - tensor: the tensor to be reduced, each tensor locates on CPU - allreduce_options: - - Returns: - None - """ - - def collective_fn(input_tensor, output_tensor, context): - pygloo.allreduce( - context, - gloo_util.get_tensor_ptr(input_tensor), - gloo_util.get_tensor_ptr(output_tensor), - gloo_util.get_tensor_n_elements(input_tensor), - gloo_util.get_gloo_tensor_dtype(input_tensor), - gloo_util.get_gloo_reduce_op(allreduce_options.reduceOp), - ) - - self._collective(tensors, tensors, collective_fn) - - def barrier(self, barrier_options=BarrierOptions()): - """Blocks until all processes reach this barrier. - - Args: - barrier_options: barrier options. - - Returns: - None - """ - barrier_tensor = numpy.array([1]) - self.allreduce([barrier_tensor]) - - def reduce(self, tensors, reduce_options=ReduceOptions()): - """Reduce tensors following options. - - Args: - tensors: the list of tensors to be reduced, - this list only have one tensor. - reduce_options: reduce options. - - Returns: - None - """ - root_rank = reduce_options.root_rank - - def collective_fn(input_tensor, output_tensor, context): - pygloo.reduce( - context, - gloo_util.get_tensor_ptr(input_tensor), - gloo_util.get_tensor_ptr(output_tensor), - gloo_util.get_tensor_n_elements(input_tensor), - gloo_util.get_gloo_tensor_dtype(input_tensor), - gloo_util.get_gloo_reduce_op(reduce_options.reduceOp), - root_rank, - ) - - self._collective(tensors, tensors, collective_fn) - - def broadcast(self, tensors, broadcast_options=BroadcastOptions()): - """Broadcast tensors to all other processes following options. - - Args: - tensors: tensors to be broadcast or received. - broadcast_options: broadcast options. - - Returns: - None - """ - root_rank = broadcast_options.root_rank - - def collective_fn(input_tensor, output_tensor, context): - pygloo.broadcast( - context, - gloo_util.get_tensor_ptr(input_tensor), - gloo_util.get_tensor_ptr(output_tensor), - gloo_util.get_tensor_n_elements(input_tensor), - gloo_util.get_gloo_tensor_dtype(input_tensor), - root_rank, - ) - - self._collective(tensors, tensors, collective_fn) - - def allgather(self, tensor_lists, tensors, allgather_options=AllGatherOptions()): - """Allgather tensors on CPU into a list of tensors. - - Args: - tensor_lists (List[List[Tensor]]): allgathered tensors. - tensors: the list of tensors to allgather across the group. - Each tensor must locate on CPU. - allgather_options: allgather options. - - Returns: - None - """ - - def collective_fn(input_tensor, output_tensor, context): - pygloo.allgather( - context, - gloo_util.get_tensor_ptr(input_tensor), - gloo_util.get_tensor_ptr(output_tensor), - gloo_util.get_tensor_n_elements(input_tensor), - gloo_util.get_gloo_tensor_dtype(input_tensor), - ) - - _check_inputs_compatibility_for_scatter_gather(tensors, tensor_lists) - output_flattened = [ - _flatten_for_scatter_gather(tensor_list, copy=False) - for tensor_list in tensor_lists - ] - - def postprocess_fn(): - for i, tensor_list in enumerate(tensor_lists): - for j, tensor in enumerate(tensor_list): - gloo_util.copy_tensor(tensor, output_flattened[i][j]) - - self._collective( - tensors, output_flattened, collective_fn, postprocess_fn=postprocess_fn - ) - - def reducescatter( - self, tensors, tensor_lists, reducescatter_options=ReduceScatterOptions() - ): - """Reduce the scatter a list of tensors across the group. - - Args: - tensors: the output tensors (could be unspecified), each - located on CPU. - tensor_lists (List[List]): the list of tensors to be reduced then - scattered. - reducescatter_options: reduce-scatter options. - - Returns: - None - """ - - def collective_fn(input_tensor, output_tensor, context): - size = gloo_util.get_tensor_n_elements(input_tensor) - world_size = self._gloo_context.size - pygloo.reduce_scatter( - context, - gloo_util.get_tensor_ptr(input_tensor), - gloo_util.get_tensor_ptr(output_tensor), - size, - [size // world_size for _ in range(world_size)], - gloo_util.get_gloo_tensor_dtype(output_tensor), - gloo_util.get_gloo_reduce_op(reducescatter_options.reduceOp), - ) - - _check_inputs_compatibility_for_scatter_gather(tensors, tensor_lists) - input_flattened = [ - _flatten_for_scatter_gather(tensor_list, copy=False) - for tensor_list in tensor_lists - ] - - def preprocess_fn(): - for i, tensor_list in enumerate(tensor_lists): - for j, tensor in enumerate(tensor_list): - gloo_util.copy_tensor(input_flattened[i][j], tensor) - - self._collective( - input_flattened, tensors, collective_fn, preprocess_fn=preprocess_fn - ) - - def send(self, tensors, send_options=SendOptions()): - """Send a tensor to a destination rank in the group. - - Args: - tensors: the tensor to send. - send_options: send options. - - Returns: - None - """ - - def p2p_fn(tensor, context, peer): - pygloo.send( - context, - gloo_util.get_tensor_ptr(tensor), - gloo_util.get_tensor_n_elements(tensor), - gloo_util.get_gloo_tensor_dtype(tensor), - peer, - ) - - self._point2point(tensors, p2p_fn, send_options.dst_rank) - - def recv(self, tensors, recv_options=RecvOptions()): - """Receive a tensor from a source rank in the group. - - Args: - tensors: the received tensor. - recv_options: Receive options. - - Returns: - None - """ - - def p2p_fn(tensor, context, peer): - pygloo.recv( - context, - gloo_util.get_tensor_ptr(tensor), - gloo_util.get_tensor_n_elements(tensor), - gloo_util.get_gloo_tensor_dtype(tensor), - peer, - ) - - self._point2point(tensors, p2p_fn, recv_options.src_rank) - - def _collective( - self, - input_tensors, - output_tensors, - collective_fn, - preprocess_fn=None, - postprocess_fn=None, - ): - """A method to encapsulate all collective calls. - - Args: - input_tensors: the list of the input tensors. - output_tensors: the list of the output tensors. - collective_fn: the collective function call. - preprocess_fn: preprocess procedures before collective calls. - postprocess_fn: postprocess procedures after collective calls. - - Returns: - None - """ - _check_cpu_tensors(input_tensors) - _check_cpu_tensors(output_tensors) - - if preprocess_fn: - preprocess_fn() - collective_fn(input_tensors[0], output_tensors[0], self._gloo_context) - if postprocess_fn: - postprocess_fn() - - def _point2point(self, tensors, p2p_fn, peer_rank: int): - """A method to encapsulate all peer-to-peer calls (i.e., send/recv). - - Args: - tensors: the tensor to send or receive. - p2p_fn: the p2p function call. - peer_rank: the rank of the peer process. - - Returns: - None - """ - _check_cpu_tensors(tensors) - - p2p_fn(tensors[0], self._gloo_context, peer_rank) - - -def _check_cpu_tensors(tensors): - """Check only have one tensor and located on CPU.""" - if not tensors or not isinstance(tensors, list): - raise RuntimeError("'tensors' must be a nonempty list.") - if len(tensors) != 1: - raise RuntimeError( - "Gloo only accept one tensor in the tensor list." - " Got {} != 1.".format(len(tensors)) - ) - d = gloo_util.get_tensor_device(tensors[0]) - if d != "cpu": - raise RuntimeError("Gloo only accept cpu tensor . Got {}.".format(d)) - - -def _flatten_for_scatter_gather(tensor_list, copy=False): - """Flatten the tensor for gather/scatter operations. - - Args: - tensor_list: the list of tensors to be scattered/gathered. - copy: whether the copy the tensors in tensor_list into the buffer. - - Returns: - The flattened tensor buffer. - """ - if not tensor_list: - raise RuntimeError("Received an empty list.") - - t = tensor_list[0] - # note we need a numpy dtype here. - dtype = gloo_util.get_numpy_tensor_dtype(t) - buffer_shape = [len(tensor_list)] + gloo_util.get_tensor_shape(t) - - buffer = numpy.empty(buffer_shape, dtype=dtype) - if copy: - for i, tensor in enumerate(tensor_list): - gloo_util.copy_tensor(buffer[i], tensor) - return buffer - - -def _check_inputs_compatibility_for_scatter_gather(tensors, tensor_lists): - """Check the compatibility between tensor input and tensor list input.""" - if not tensors or not isinstance(tensors, list): - raise RuntimeError("The first argument 'tensors' expects a list of tensors.") - - if len(tensors) != 1: - raise RuntimeError( - "Gloo only accept one tensor in the first argument 'tensors'." - " Got {} != 1.".format(len(tensors)) - ) - - if not tensor_lists or not isinstance(tensor_lists, list): - raise RuntimeError( - "The second argument 'tensor_lists' expects a list of tensor list." - ) - - if len(tensor_lists) != 1: - raise RuntimeError( - "Gloo only accept one tensor list " - "in the second argument 'tensor_lists'." - " Got {} != 1.".format(len(tensor_lists)) - ) - - dtype = gloo_util.get_gloo_tensor_dtype(tensors[0]) - shape = gloo_util.get_tensor_shape(tensors[0]) - - # check all tensors in `tensor_lists` match. - for t in tensor_lists[0]: - # check dtype - dt = gloo_util.get_gloo_tensor_dtype(t) - if dt != dtype: - raise RuntimeError( - "All tensor operands to scatter/gather must " - "have the same dtype. Got '{}' and '{}'.".format(dt, dtype) - ) - s = gloo_util.get_tensor_shape(t) - if s != shape: - raise RuntimeError( - "All tensor operands to scatter/gather must " - "have the same shape. Got '{}' and '{}'.".format(s, shape) - ) diff --git a/python/ray/util/collective/collective_group/gloo_util.py b/python/ray/util/collective/collective_group/gloo_util.py deleted file mode 100644 index 07c3d40b873f..000000000000 --- a/python/ray/util/collective/collective_group/gloo_util.py +++ /dev/null @@ -1,316 +0,0 @@ -"""Code to wrap some GLOO API calls.""" -import asyncio -import time -from typing import List - -import numpy - -import ray -import ray.experimental.internal_kv as internal_kv -from ray._raylet import GcsClient -from ray.util.collective.types import ReduceOp, torch_available -from ray.util.queue import _QueueActor - -try: - import pygloo -except ImportError: - raise ImportError( - "Can not import pygloo. Please run 'pip install pygloo' to install pygloo." - ) - - -GLOO_REDUCE_OP_MAP = { - ReduceOp.SUM: pygloo.ReduceOp.SUM, - ReduceOp.PRODUCT: pygloo.ReduceOp.PRODUCT, - ReduceOp.MIN: pygloo.ReduceOp.MIN, - ReduceOp.MAX: pygloo.ReduceOp.MAX, -} - -NUMPY_GLOO_DTYPE_MAP = { - # INT types - numpy.int_: pygloo.glooDataType_t.glooInt64, - numpy.uint8: pygloo.glooDataType_t.glooUint8, - numpy.uint32: pygloo.glooDataType_t.glooUint32, - numpy.uint64: pygloo.glooDataType_t.glooUint64, - numpy.int8: pygloo.glooDataType_t.glooInt8, - numpy.int32: pygloo.glooDataType_t.glooInt32, - numpy.int64: pygloo.glooDataType_t.glooInt64, - # FLOAT types - numpy.half: pygloo.glooDataType_t.glooFloat16, - float: pygloo.glooDataType_t.glooFloat64, - numpy.float16: pygloo.glooDataType_t.glooFloat16, - numpy.float32: pygloo.glooDataType_t.glooFloat32, - numpy.float64: pygloo.glooDataType_t.glooFloat64, - numpy.double: pygloo.glooDataType_t.glooFloat64, -} - -if torch_available(): - import torch - - TORCH_GLOO_DTYPE_MAP = { - torch.int: pygloo.glooDataType_t.glooInt32, - torch.uint8: pygloo.glooDataType_t.glooUint8, - torch.int8: pygloo.glooDataType_t.glooInt8, - torch.int32: pygloo.glooDataType_t.glooInt32, - torch.int64: pygloo.glooDataType_t.glooInt64, - torch.long: pygloo.glooDataType_t.glooInt64, - # FLOAT types - torch.half: pygloo.glooDataType_t.glooFloat16, - torch.float: pygloo.glooDataType_t.glooFloat32, - torch.float16: pygloo.glooDataType_t.glooFloat16, - torch.float32: pygloo.glooDataType_t.glooFloat32, - torch.float64: pygloo.glooDataType_t.glooFloat64, - torch.double: pygloo.glooDataType_t.glooFloat64, - } - - TORCH_NUMPY_DTYPE_MAP = { - # INT types - torch.int: numpy.int32, - torch.uint8: numpy.uint8, - torch.int8: numpy.int8, - torch.int32: numpy.int32, - torch.int64: numpy.int64, - torch.long: numpy.int64, - # FLOAT types - torch.half: numpy.half, - torch.float: numpy.float32, - torch.float16: numpy.float16, - torch.float32: numpy.float32, - torch.float64: numpy.float64, - } - - -def create_gloo_context(rank, world_size): - """Create a GLOO context using GLOO APIs. - - Args: - rank: the rank of this process. - world_size: the number of processes of this collective group. - - Returns: - context (pygloo.Context): a GLOO context. - """ - context = pygloo.rendezvous.Context(rank, world_size) - return context - - -def get_gloo_reduce_op(reduce_op): - """Map the reduce op to GLOO reduce op type. - - Args: - reduce_op: ReduceOp Enum (SUM/PRODUCT/MIN/MAX). - - Returns: - (pygloo.ReduceOp): the mapped GLOO reduce op. - """ - if reduce_op not in GLOO_REDUCE_OP_MAP: - raise RuntimeError("Gloo does not support reduce op: '{}'.".format(reduce_op)) - return GLOO_REDUCE_OP_MAP[reduce_op] - - -def get_gloo_tensor_dtype(tensor): - """Return the corresponded GLOO dtype given a tensor.""" - if isinstance(tensor, numpy.ndarray): - return NUMPY_GLOO_DTYPE_MAP[tensor.dtype.type] - if torch_available(): - if isinstance(tensor, torch.Tensor): - if not tensor.is_cuda: - return TORCH_GLOO_DTYPE_MAP[tensor.dtype] - else: - raise ValueError( - "Expect torch CPU tensor. Got {}.".format(tensor.device) - ) - raise ValueError("Unsupported tensor type. Got: {}.".format(type(tensor))) - - -def get_numpy_tensor_dtype(tensor): - """Return the corresponded Cupy dtype given a tensor.""" - if isinstance(tensor, numpy.ndarray): - return tensor.dtype.type - if torch_available(): - if isinstance(tensor, torch.Tensor): - return TORCH_NUMPY_DTYPE_MAP[tensor.dtype] - raise ValueError( - "Unsupported tensor type. Got: {}. Supported " - "CPU tensor types are: torch.Tensor, " - "numpy.ndarray.".format(type(tensor)) - ) - - -def get_tensor_ptr(tensor): - """Return the pointer to the underlying memory storage of a tensor.""" - if isinstance(tensor, numpy.ndarray): - return tensor.ctypes.data - if torch_available(): - if isinstance(tensor, torch.Tensor): - if tensor.is_cuda: - raise RuntimeError( - "Torch tensor must be on CPU when using GLOO collectives." - ) - return tensor.data_ptr() - raise ValueError( - "Unsupported tensor type. Got: {}. Supported " - "CPU tensor types are: torch.Tensor, " - "numpy.ndarray.".format(type(tensor)) - ) - - -def get_tensor_n_elements(tensor): - """Return the number of elements in a tensor.""" - if isinstance(tensor, numpy.ndarray): - return tensor.size - if torch_available(): - if isinstance(tensor, torch.Tensor): - return torch.numel(tensor) - raise ValueError("Unsupported tensor type. Got: {}.".format(type(tensor))) - - -def get_gloo_store_path(store_name): - from ray._common.utils import get_ray_temp_dir - - store_path = f"{get_ray_temp_dir()}_collective/gloo/{store_name}" - return store_path - - -def get_tensor_device(tensor): - if isinstance(tensor, numpy.ndarray): - return "cpu" - elif torch_available() and isinstance(tensor, torch.Tensor): - if not tensor.is_cuda: - return "cpu" - else: - return "cuda" - else: - raise RuntimeError("Unrecognized tensor type: '{}'.".format(type(tensor))) - - -def get_tensor_shape(tensor): - """Return the shape of the tensor as a list.""" - if isinstance(tensor, numpy.ndarray): - return list(tensor.shape) - if torch_available(): - if isinstance(tensor, torch.Tensor): - return list(tensor.size()) - raise ValueError( - "Unsupported tensor type. Got: {}. Supported " - "CPU tensor types are: torch.Tensor, " - "numpy.ndarray.".format(type(tensor)) - ) - - -def copy_tensor(dst_tensor, src_tensor): - """Copy the content from src_tensor to dst_tensor. - - Args: - dst_tensor: the tensor to copy from. - src_tensor: the tensor to copy to. - - Returns: - None - """ - copied = True - if isinstance(dst_tensor, numpy.ndarray) and isinstance(src_tensor, numpy.ndarray): - numpy.copyto(dst_tensor, src_tensor) - elif torch_available(): - if isinstance(dst_tensor, torch.Tensor) and isinstance( - src_tensor, torch.Tensor - ): - dst_tensor.copy_(src_tensor) - elif isinstance(dst_tensor, torch.Tensor) and isinstance( - src_tensor, numpy.ndarray - ): - t = torch.Tensor(src_tensor) - dst_tensor.copy_(t) - elif isinstance(dst_tensor, numpy.ndarray) and isinstance( - src_tensor, torch.Tensor - ): - t = src_tensor.numpy() - numpy.copyto(dst_tensor, t) - else: - copied = False - else: - copied = False - if not copied: - raise ValueError( - "Unsupported tensor type. Got: {} and {}. Supported " - "CPU tensor types are: torch.Tensor, numpy.ndarray.".format( - type(dst_tensor), type(src_tensor) - ) - ) - - -# Note(Hao): this requires Ray >= 1.2.0, -# otherwise _QueueActor is an actor class. -class glooQueue(_QueueActor): - def index(self, group_name): - try: - return self.queue._queue.index(group_name) - except ValueError: - return -1 - - -@ray.remote(num_cpus=0) -class SignalActor: - def __init__(self, world_size): - self.ready_events = [asyncio.Event() for _ in range(world_size)] - self.world_size = world_size - - def send(self, rank, clear=False): - self.ready_events[rank].set() - if clear: - self.ready_events[rank].clear() - - async def wait(self, should_wait=True): - if should_wait: - for i in range(self.world_size): - await self.ready_events[i].wait() - - -# The custom store which is implementated in Ray internal kv storage, helping -# to store the rank meta information when setting up the gloo collective group. -class RayInternalKvStore: - def __init__(self, group_name: str): - self._group_name = group_name - self._job_id = ray.get_runtime_context().get_job_id() - gcs_address = ray._private.worker._global_node.gcs_address - self._gcs_client = GcsClient(address=gcs_address) - internal_kv._initialize_internal_kv(self._gcs_client) - - def set(self, key: str, data: bytes) -> bool: - key = self.__concat_key_with_prefixes(key) - ret = internal_kv._internal_kv_put(key, data) - return ret - - def get(self, key: str) -> bytes: - key = self.__concat_key_with_prefixes(key) - ret = internal_kv._internal_kv_get(key) - return ret - - def delete(self, key: str) -> int: - key = self.__concat_key_with_prefixes(key) - ret = internal_kv._internal_kv_del(key) - return ret - - def del_keys(self, keys: List[str]) -> List[int]: - results = [] - for key in keys: - results.append(self.delete(key)) - return results - - def wait(self, keys: List[str]): - while True: - all_exist = True - for key in keys: - key = self.__concat_key_with_prefixes(key) - result = internal_kv._internal_kv_exists(key) - if not result: - all_exist = False - break - if all_exist: - return True - time.sleep(1) - - def __concat_key_with_prefixes(self, original_key): - """Concat the necessary prefixes and key for isolation purpose for - different jobs and different groups.""" - return f"{self._job_id}-{self._group_name}-{original_key}" diff --git a/python/ray/util/collective/collective_group/nccl_collective_group.py b/python/ray/util/collective/collective_group/nccl_collective_group.py index f866b70a9c1e..236559ecd81c 100644 --- a/python/ray/util/collective/collective_group/nccl_collective_group.py +++ b/python/ray/util/collective/collective_group/nccl_collective_group.py @@ -676,9 +676,19 @@ def _flatten_for_scatter_gather(tensor_list, copy=False): # TODO(wuxibin): cupy doesn't support bfloat16 for now, # once it is supported, we can eliminate this if statement. + # + # Allocate using the same backend as the tensors in `tensor_list`. + # Use torch only when the tensors are torch.Tensor; otherwise fall back to CuPy. + use_torch = False if torch_available(): - import torch + try: + import torch + + use_torch = isinstance(t, torch.Tensor) + except ImportError: + use_torch = False + if use_torch: buffer = torch.empty(tuple(buffer_shape), dtype=t.dtype, device=t.device) else: # note we need a cupy dtype here. diff --git a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py index 51e7f6482b6f..d2314c5ea54a 100644 --- a/python/ray/util/collective/collective_group/torch_gloo_collective_group.py +++ b/python/ray/util/collective/collective_group/torch_gloo_collective_group.py @@ -1,11 +1,11 @@ import os from typing import TYPE_CHECKING, List, Optional +import numpy as np import torch import torch.distributed as dist import ray.experimental.internal_kv as internal_kv -from ray._common.network_utils import parse_address from ray.util.collective.collective_group.base_collective_group import BaseGroup from ray.util.collective.types import ( AllGatherOptions, @@ -42,30 +42,66 @@ def __init__( world_size: int, rank: int, group_name: str, + gloo_timeout: Optional[int] = None, ): - metadata_key = get_master_address_metadata_key(group_name) - try: - metadata = internal_kv._internal_kv_get(metadata_key) - except ValueError: - raise RuntimeError( - f"TorchGLOOGroup expected metadata in internal_kv with name `{metadata_key}`. " - "TorchGLOOGroup should not be instantiated directly. " - "Use ray.experimental.collective.create_collective_group to create the group." + # Initialize the default process group only once per process. + if not dist.is_initialized(): + metadata_key = get_master_address_metadata_key(group_name) + try: + metadata = internal_kv._internal_kv_get(metadata_key) + except ValueError: + raise RuntimeError( + f"TorchGLOOGroup expected metadata in internal_kv with name `{metadata_key}`. " + "TorchGLOOGroup should not be instantiated directly. " + "Use ray.experimental.collective.create_collective_group to create the group." + ) + if metadata is None: + raise RuntimeError( + f"Missing rendezvous metadata for group `{group_name}` under key `{metadata_key}`." + ) + metadata = metadata.decode() + master_addr, master_port = metadata.split(":") + os.environ["MASTER_ADDR"] = master_addr + os.environ["MASTER_PORT"] = master_port + + dist.init_process_group( + backend="gloo", init_method="env://", world_size=world_size, rank=rank ) - metadata = metadata.decode() - master_addr, master_port = parse_address(metadata) - os.environ["MASTER_ADDR"] = master_addr - os.environ["MASTER_PORT"] = master_port + super().__init__(world_size, rank, group_name) - dist.init_process_group( - backend="gloo", init_method="env://", world_size=world_size, rank=rank + # Create a subgroup for this logical group. For the default group, use WORLD. + self._is_default_group = group_name == "default" + if self._is_default_group: + self._pg = dist.group.WORLD + else: + # All ranks participate in this subgroup with global ranks [0..world_size-1]. + ranks = list(range(world_size)) + self._pg = dist.new_group(ranks=ranks, backend="gloo") + + # Compatibility shim for legacy tests expecting a pygloo context with getTimeout(). + # Store the rendezvous timeout in milliseconds, defaulting to 30000 if unspecified. + class _GlooCompatContext: + def __init__(self, timeout_ms: int): + self._timeout_ms = timeout_ms + + def getTimeout(self) -> int: + return self._timeout_ms + + self._gloo_context = _GlooCompatContext( + gloo_timeout if gloo_timeout is not None else 30000 ) - super().__init__(world_size, rank, group_name) def destroy_group(self): """GC the communicators.""" - dist.destroy_process_group() + # Destroy only the subgroup for non-default groups. Allow default to be torn down explicitly. + if self._is_default_group: + # Destroy default process group to allow re-init in tests that recreate the same group. + dist.destroy_process_group() + else: + # Destroy just this subgroup. + if self._pg is not None: + dist.destroy_process_group(self._pg) @classmethod def backend(cls): @@ -73,31 +109,40 @@ def backend(cls): return Backend.TORCH_GLOO def _check_tensor_input(self, tensor: List["torch.Tensor"]) -> "torch.Tensor": - """ray.util.collective wraps tensor arguments in a list. Check for a - single tensor and unwrap it. + """ray.util.collective wraps tensor arguments in a list. + Accept a single torch.Tensor or numpy.ndarray and unwrap/convert it. """ assert isinstance(tensor, list) and len(tensor) == 1 - tensor = tensor[0] - if not isinstance(tensor, torch.Tensor): - raise ValueError( - f"torch_gloo group only accepts torch.Tensor types, received {tensor}" - ) - return tensor + t = tensor[0] + if isinstance(t, torch.Tensor): + return t + if isinstance(t, np.ndarray): + return torch.from_numpy(t) + raise ValueError( + f"torch_gloo group only accepts torch.Tensor or numpy.ndarray, received {type(t)}" + ) def _check_tensor_list_input( self, tensor_list: List[List["torch.Tensor"]] ) -> List["torch.Tensor"]: - """ray.util.collective wraps tensor arguments in a list. Check for a - single list of tensors and unwrap it. + """ray.util.collective wraps tensor arguments in a list. + Accept a single list containing torch.Tensors or numpy.ndarrays and + unwrap/convert items as needed. """ assert isinstance(tensor_list, list) and len(tensor_list) == 1 tensor_list = tensor_list[0] + converted_tensor_list = [] for tensor in tensor_list: - if not isinstance(tensor, torch.Tensor): + if isinstance(tensor, np.ndarray): + tensor = torch.from_numpy(tensor) + converted_tensor_list.append(tensor) + elif isinstance(tensor, torch.Tensor): + converted_tensor_list.append(tensor) + else: raise ValueError( - f"torch_gloo group only accepts torch.Tensor types, received tensor list with value {tensor}" + f"torch_gloo group only accepts torch.Tensor or numpy.ndarray types, received tensor list with value {tensor}" ) - return tensor_list + return converted_tensor_list def allreduce( self, @@ -108,10 +153,10 @@ def allreduce( allreduce_options = AllReduceOptions() tensor = self._check_tensor_input(tensor) torch_reduce_op = TORCH_REDUCE_OP_MAP[allreduce_options.reduceOp] - dist.all_reduce(tensor, op=torch_reduce_op) + dist.all_reduce(tensor, op=torch_reduce_op, group=self._pg) def barrier(self, barrier_options=BarrierOptions()) -> None: - dist.barrier() + dist.barrier(group=self._pg) def reduce( self, @@ -120,9 +165,18 @@ def reduce( ) -> None: if reduce_options is None: reduce_options = ReduceOptions() - tensor = self._check_tensor_input(tensor) + t = self._check_tensor_input(tensor) torch_reduce_op = TORCH_REDUCE_OP_MAP[reduce_options.reduceOp] - dist.reduce(tensor, dst=reduce_options.root_rank, op=torch_reduce_op) + # Avoid mutating non-root ranks' user tensors to match util.collective semantics. + if self._rank == reduce_options.root_rank: + dist.reduce( + t, dst=reduce_options.root_rank, op=torch_reduce_op, group=self._pg + ) + else: + tmp = t.detach().clone() + dist.reduce( + tmp, dst=reduce_options.root_rank, op=torch_reduce_op, group=self._pg + ) def allgather( self, @@ -134,13 +188,13 @@ def allgather( allgather_options = AllGatherOptions() tensor_list = self._check_tensor_list_input(tensor_list) tensor = self._check_tensor_input(tensor) - dist.all_gather(tensor_list, tensor) + dist.all_gather(tensor_list, tensor, group=self._pg) def broadcast( self, tensor: List["torch.Tensor"], broadcast_options=BroadcastOptions() ) -> None: tensor = self._check_tensor_input(tensor) - dist.broadcast(tensor, src=broadcast_options.root_rank) + dist.broadcast(tensor, src=broadcast_options.root_rank, group=self._pg) def reducescatter( self, @@ -161,7 +215,7 @@ def reducescatter( # torch.distributed gloo doesn't support reducescatter. Implement a # simple version using allreduce. for tensor in tensor_list: - dist.all_reduce(tensor, op=torch_reduce_op) + dist.all_reduce(tensor, op=torch_reduce_op, group=self._pg) if output_tensor.data_ptr() != tensor_list[self._rank].data_ptr(): output_tensor.copy_(tensor_list[self._rank]) diff --git a/python/ray/util/collective/tests/conftest.py b/python/ray/util/collective/tests/conftest.py index e4ec1df88675..8c98a6cab16f 100644 --- a/python/ray/util/collective/tests/conftest.py +++ b/python/ray/util/collective/tests/conftest.py @@ -4,10 +4,15 @@ import pytest import ray -from ray.util.collective.collective_group.nccl_collective_group import ( - _get_comm_key_from_devices, - _get_comm_key_send_recv, -) + +try: + from ray.util.collective.collective_group.nccl_collective_group import ( + _get_comm_key_from_devices, + _get_comm_key_send_recv, + ) +except Exception: # Cupy/NCCL may be unavailable on CPU-only setups + _get_comm_key_from_devices = None + _get_comm_key_send_recv = None from ray.util.collective.const import get_store_name logger = logging.getLogger(__name__) @@ -16,6 +21,9 @@ # TODO (Hao): remove this clean_up function as it sometimes crashes Ray. def clean_up(): + # If NCCL helpers are unavailable (e.g., no cupy), skip cleanup. + if _get_comm_key_from_devices is None or _get_comm_key_send_recv is None: + return group_names = ["default", "test", "123?34!", "default2", "random"] group_names.extend([str(i) for i in range(10)]) max_world_size = 4 @@ -90,3 +98,9 @@ def ray_start_distributed_2_nodes(): ray.init("auto") yield ray.shutdown() + + +@pytest.fixture +def shutdown_only(): + yield None + ray.shutdown() diff --git a/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py b/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py index 7d0d4888aca0..bf5f8b24e8b2 100644 --- a/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py +++ b/python/ray/util/collective/tests/single_node_cpu_tests/test_gloo_group_isolation.py @@ -1,10 +1,11 @@ import time -from python.ray.util.collective.collective_group.gloo_collective_group import GLOOGroup -from python.ray.util.collective.types import Backend - import ray import ray.util.collective as col +from ray.util.collective.collective_group.torch_gloo_collective_group import ( + TorchGLOOGroup as GLOOGroup, +) +from ray.util.collective.types import Backend @ray.remote @@ -27,7 +28,7 @@ def get_gloo_timeout(self, group_name: str) -> int: return g._gloo_context.getTimeout() -def test_two_groups_in_one_cluster(ray_start_regular_shared): +def test_two_groups_in_one_cluster(ray_start_single_node): name1 = "name_1" name2 = "name_2" time1 = 40000 diff --git a/python/ray/util/collective/types.py b/python/ray/util/collective/types.py index 90ed5d6d86bd..b72233bd0c16 100644 --- a/python/ray/util/collective/types.py +++ b/python/ray/util/collective/types.py @@ -38,6 +38,8 @@ class Backend(object): NCCL = "nccl" MPI = "mpi" + # `pygloo` is deprecated. Use gloo through torch.distributed for both + # `GLOO` and `TORCH_GLOO`. GLOO = "gloo" # Use gloo through torch.distributed. TORCH_GLOO = "torch_gloo" From 5b11bea3f0a9d47fc7fbf860e0fd32c7bda54ba1 Mon Sep 17 00:00:00 2001 From: Rueian Date: Tue, 23 Sep 2025 01:37:12 +0800 Subject: [PATCH 1318/1566] [core] prevent stale GET request being registered if its lease was cleared (#56766) Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- src/ray/raylet/node_manager.cc | 2 + src/ray/raylet/tests/node_manager_test.cc | 96 +++++++++++++++++++++++ src/ray/raylet/tests/util.h | 5 +- 3 files changed, 99 insertions(+), 4 deletions(-) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index ce469d250418..f537b139942a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -2152,6 +2152,8 @@ void NodeManager::AsyncGetOrWait(const std::shared_ptr &client std::shared_ptr worker = worker_pool_.GetRegisteredWorker(client); if (!worker) { worker = worker_pool_.GetRegisteredDriver(client); + } else if (worker->GetGrantedLeaseId().IsNil()) { + return; // The worker may have died or is no longer processing the task. } RAY_CHECK(worker); diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 39999db4a47b..082686ef2f45 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -31,6 +31,7 @@ #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" #include "ray/common/cgroup2/cgroup_manager_interface.h" +#include "ray/common/flatbuf_utils.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/observability/fake_metric.h" @@ -866,6 +867,101 @@ TEST_F(NodeManagerTest, TestResizeLocalResourceInstancesClamps) { EXPECT_EQ(reply.total_resources().at("CPU"), 6.0); } +TEST_F(NodeManagerTest, AsyncGetOrWaitSkipsGetForWorkerWithoutLease) { + // Verifies AsyncGetOrWait drops stale GETs for workers whose lease was cleared, + // while leaving driver GETs unaffected. + + // Prepare a mock worker returned by GetRegisteredWorker(client). + auto worker = std::make_shared(WorkerID::FromRandom(), 10); + EXPECT_TRUE(worker->GetGrantedLeaseId().IsNil()); + + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredWorker(testing::A &>())) + .Times(2) // one in ProcessClientMessage + one in AsyncGetOrWait + .WillRepeatedly(Return(worker)); + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredDriver(testing::A &>())) + .Times(0); + + // Expect no pull to be registered on the ObjectManager for this GET. + EXPECT_CALL(*mock_object_manager_, Pull(_, _, _)).Times(0); + + // Build AsyncGetObjectsRequest flatbuffer and invoke the handler. + std::vector object_ids; + flatbuffers::FlatBufferBuilder fbb; + std::vector> address_vec; + // Add one object and a corresponding (empty) owner address. + object_ids.push_back(ObjectID::FromRandom()); + address_vec.push_back(protocol::CreateAddress( + fbb, fbb.CreateString(""), fbb.CreateString(""), 0, fbb.CreateString(""))); + auto object_ids_message = flatbuf::to_flatbuf(fbb, object_ids); + auto message = protocol::CreateAsyncGetObjectsRequest( + fbb, object_ids_message, fbb.CreateVector(address_vec)); + fbb.Finish(message); + + // Create a minimal client connection for ProcessClientMessage. + local_stream_socket fake_socket(io_service_); + auto client = ClientConnection::Create( + [](std::shared_ptr, int64_t, const std::vector &) {}, + [](std::shared_ptr, const boost::system::error_code &) {}, + std::move(fake_socket), + "test-client", + std::vector{}); + node_manager_->ProcessClientMessage( + client, + static_cast(protocol::MessageType::AsyncGetObjectsRequest), + fbb.GetBufferPointer()); +} + +TEST_F(NodeManagerTest, AsyncGetOrWaitRegistersGetForDriver) { + // A driver has no lease id; GET should still be registered. + + // GetRegisteredWorker returns nullptr, driver is returned instead. + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredWorker(testing::A &>())) + .Times(2) // one in ProcessClientMessage + one in AsyncGetOrWait + .WillRepeatedly(Return(nullptr)); + auto driver = std::make_shared(WorkerID::FromRandom(), 10); + EXPECT_CALL( + mock_worker_pool_, + GetRegisteredDriver(testing::A &>())) + .Times(1) + .WillOnce(Return(driver)); + + // Expect a pull to be registered on the ObjectManager for this GET. + EXPECT_CALL(*mock_object_manager_, Pull(_, _, _)).Times(1); + + // Build AsyncGetObjectsRequest flatbuffer and invoke the handler. + std::vector object_ids; + flatbuffers::FlatBufferBuilder fbb; + std::vector> address_vec; + // Add one object and a corresponding (empty) owner address. + object_ids.push_back(ObjectID::FromRandom()); + address_vec.push_back(protocol::CreateAddress( + fbb, fbb.CreateString(""), fbb.CreateString(""), 0, fbb.CreateString(""))); + + auto object_ids_message = flatbuf::to_flatbuf(fbb, object_ids); + auto message = protocol::CreateAsyncGetObjectsRequest( + fbb, object_ids_message, fbb.CreateVector(address_vec)); + fbb.Finish(message); + + // Create a minimal client connection for ProcessClientMessage. + local_stream_socket fake_socket(io_service_); + auto client = ClientConnection::Create( + [](std::shared_ptr, int64_t, const std::vector &) {}, + [](std::shared_ptr, const boost::system::error_code &) {}, + std::move(fake_socket), + "test-client", + std::vector{}); + node_manager_->ProcessClientMessage( + client, + static_cast(protocol::MessageType::AsyncGetObjectsRequest), + fbb.GetBufferPointer()); +} + class NodeManagerReturnWorkerLeaseIdempotentTest : public NodeManagerTest, public testing::WithParamInterface> {}; diff --git a/src/ray/raylet/tests/util.h b/src/ray/raylet/tests/util.h index 467ff373bbc9..9c904b43e37a 100644 --- a/src/ray/raylet/tests/util.h +++ b/src/ray/raylet/tests/util.h @@ -85,10 +85,7 @@ class MockWorker : public WorkerInterface { } void MarkDead() override { RAY_CHECK(false) << "Method unused"; } - bool IsDead() const override { - RAY_CHECK(false) << "Method unused"; - return killing_.load(std::memory_order_acquire); - } + bool IsDead() const override { return killing_.load(std::memory_order_acquire); } void KillAsync(instrumented_io_context &io_service, bool force) override { bool expected = false; killing_.compare_exchange_strong(expected, true, std::memory_order_acq_rel); From 16c603639e8d4a2209e82e47e6026e4f3253fd56 Mon Sep 17 00:00:00 2001 From: goutamvenkat-anyscale Date: Mon, 22 Sep 2025 10:55:39 -0700 Subject: [PATCH 1319/1566] [Data] [1/2] - Add aggregators per column type. Numerical, categorial, and vector aggregators (#56610) ## Why are these changes needed? Added two new aggregators - MissingValuePercentage and ZeroPercentage which is applicable to numerical columns This is prep work for adding `pd.describe()` like functionality for Ray Data. Signed-off-by: Douglas Strodtman --- doc/source/data/api/aggregate.rst | 2 + python/ray/data/BUILD.bazel | 28 ++ python/ray/data/aggregate.py | 190 ++++++++- python/ray/data/stats.py | 167 ++++++++ python/ray/data/tests/test_custom_agg.py | 282 ++++++++++++++ python/ray/data/tests/test_dataset_stats.py | 412 ++++++++++++++++++++ 6 files changed, 1080 insertions(+), 1 deletion(-) create mode 100644 python/ray/data/stats.py create mode 100644 python/ray/data/tests/test_custom_agg.py create mode 100644 python/ray/data/tests/test_dataset_stats.py diff --git a/doc/source/data/api/aggregate.rst b/doc/source/data/api/aggregate.rst index ee92bf7c74ce..19cce4d7e08c 100644 --- a/doc/source/data/api/aggregate.rst +++ b/doc/source/data/api/aggregate.rst @@ -25,3 +25,5 @@ compute aggregations. AbsMax Quantile Unique + MissingValuePercentage + ZeroPercentage diff --git a/python/ray/data/BUILD.bazel b/python/ray/data/BUILD.bazel index 509ba6f1e102..680255466b0c 100644 --- a/python/ray/data/BUILD.bazel +++ b/python/ray/data/BUILD.bazel @@ -1613,3 +1613,31 @@ py_test( "//:ray_lib", ], ) + +py_test( + name = "test_custom_agg", + size = "small", + srcs = ["tests/test_custom_agg.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + +py_test( + name = "test_dataset_stats", + size = "small", + srcs = ["tests/test_dataset_stats.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) diff --git a/python/ray/data/aggregate.py b/python/ray/data/aggregate.py index 1feaf4c12af5..45415d53773f 100644 --- a/python/ray/data/aggregate.py +++ b/python/ray/data/aggregate.py @@ -3,9 +3,18 @@ from typing import TYPE_CHECKING, Any, Callable, List, Optional import numpy as np +import pyarrow.compute as pc from ray.data._internal.util import is_null -from ray.data.block import AggType, Block, BlockAccessor, KeyType, T, U +from ray.data.block import ( + AggType, + Block, + BlockAccessor, + BlockColumnAccessor, + KeyType, + T, + U, +) from ray.util.annotations import Deprecated, PublicAPI if TYPE_CHECKING: @@ -1001,3 +1010,182 @@ def _safe_combine( return combine(cur, new) return _safe_combine + + +@PublicAPI(stability="alpha") +class MissingValuePercentage(AggregateFnV2): + """Calculates the percentage of null values in a column. + + This aggregation computes the percentage of null (missing) values in a dataset column. + It treats both None values and NaN values as null. The result is a percentage value + between 0.0 and 100.0, where 0.0 means no missing values and 100.0 means all values + are missing. + + Example: + + .. testcode:: + + import ray + from ray.data.aggregate import MissingValuePercentage + + # Create a dataset with some missing values + ds = ray.data.from_items([ + {"value": 1}, {"value": None}, {"value": 3}, + {"value": None}, {"value": 5} + ]) + + # Calculate missing value percentage + result = ds.aggregate(MissingValuePercentage(on="value")) + # result: 40.0 (2 out of 5 values are missing) + + # Using with groupby + ds = ray.data.from_items([ + {"group": "A", "value": 1}, {"group": "A", "value": None}, + {"group": "B", "value": 3}, {"group": "B", "value": None} + ]) + result = ds.groupby("group").aggregate(MissingValuePercentage(on="value")).take_all() + # result: [{'group': 'A', 'missing_pct(value)': 50.0}, + # {'group': 'B', 'missing_pct(value)': 50.0}] + + Args: + on: The name of the column to calculate missing value percentage on. + alias_name: Optional name for the resulting column. If not provided, + defaults to "missing_pct({column_name})". + """ + + def __init__( + self, + on: str, + alias_name: Optional[str] = None, + ): + # Initialize with a list accumulator [null_count, total_count] + super().__init__( + alias_name if alias_name else f"missing_pct({str(on)})", + on=on, + ignore_nulls=False, # Include nulls for this calculation + zero_factory=lambda: [0, 0], # Our AggType is a simple list + ) + + def aggregate_block(self, block: Block) -> List[int]: + column_accessor = BlockColumnAccessor.for_column(block[self._target_col_name]) + + total_count = column_accessor.count(ignore_nulls=False) + + null_count = pc.sum( + pc.is_null(column_accessor._as_arrow_compatible(), nan_is_null=True) + ).as_py() + + # Return our accumulator + return [null_count, total_count] + + def combine(self, current_accumulator: List[int], new: List[int]) -> List[int]: + # Merge two accumulators by summing their components + assert len(current_accumulator) == len(new) == 2 + return [ + current_accumulator[0] + new[0], # Sum null counts + current_accumulator[1] + new[1], # Sum total counts + ] + + def finalize(self, accumulator: List[int]) -> Optional[float]: + # Calculate the final percentage + if accumulator[1] == 0: + return None + return (accumulator[0] / accumulator[1]) * 100.0 + + +@PublicAPI(stability="alpha") +class ZeroPercentage(AggregateFnV2): + """Calculates the percentage of zero values in a numeric column. + + This aggregation computes the percentage of zero values in a numeric dataset column. + It can optionally ignore null values when calculating the percentage. The result is + a percentage value between 0.0 and 100.0, where 0.0 means no zero values and 100.0 + means all non-null values are zero. + + Example: + + .. testcode:: + + import ray + from ray.data.aggregate import ZeroPercentage + + # Create a dataset with some zero values + ds = ray.data.from_items([ + {"value": 0}, {"value": 1}, {"value": 0}, + {"value": 3}, {"value": 0} + ]) + + # Calculate zero value percentage + result = ds.aggregate(ZeroPercentage(on="value")) + # result: 60.0 (3 out of 5 values are zero) + + # With null values and ignore_nulls=True (default) + ds = ray.data.from_items([ + {"value": 0}, {"value": None}, {"value": 0}, + {"value": 3}, {"value": 0} + ]) + result = ds.aggregate(ZeroPercentage(on="value", ignore_nulls=True)) + # result: 75.0 (3 out of 4 non-null values are zero) + + # Using with groupby + ds = ray.data.from_items([ + {"group": "A", "value": 0}, {"group": "A", "value": 1}, + {"group": "B", "value": 0}, {"group": "B", "value": 0} + ]) + result = ds.groupby("group").aggregate(ZeroPercentage(on="value")).take_all() + # result: [{'group': 'A', 'zero_pct(value)': 50.0}, + # {'group': 'B', 'zero_pct(value)': 100.0}] + + Args: + on: The name of the column to calculate zero value percentage on. + Must be a numeric column. + ignore_nulls: Whether to ignore null values when calculating the percentage. + If True (default), null values are excluded from both numerator and denominator. + If False, null values are included in the denominator but not the numerator. + alias_name: Optional name for the resulting column. If not provided, + defaults to "zero_pct({column_name})". + + """ + + def __init__( + self, + on: str, + ignore_nulls: bool = True, + alias_name: Optional[str] = None, + ): + # Initialize with a list accumulator [zero_count, non_null_count] + super().__init__( + alias_name if alias_name else f"zero_pct({str(on)})", + on=on, + ignore_nulls=ignore_nulls, + zero_factory=lambda: [0, 0], + ) + + def aggregate_block(self, block: Block) -> List[int]: + column_accessor = BlockColumnAccessor.for_column(block[self._target_col_name]) + + count = column_accessor.count(ignore_nulls=self._ignore_nulls) + + if count == 0: + return [0, 0] + + arrow_compatible = column_accessor._as_arrow_compatible() + # Use PyArrow compute to count zeros + # First create a boolean mask for zero values + zero_mask = pc.equal(arrow_compatible, 0) + + # Sum the boolean mask to get count of True values (zeros) + zero_count = pc.sum(zero_mask).as_py() or 0 + + return [zero_count, count] + + def combine(self, current_accumulator: List[int], new: List[int]) -> List[int]: + return [ + current_accumulator[0] + new[0], # Sum zero counts + current_accumulator[1] + new[1], # Sum non-null counts + ] + + def finalize(self, accumulator: List[int]) -> Optional[float]: + if accumulator[1] == 0: + return None + return (accumulator[0] / accumulator[1]) * 100.0 diff --git a/python/ray/data/stats.py b/python/ray/data/stats.py new file mode 100644 index 000000000000..ce832674a72f --- /dev/null +++ b/python/ray/data/stats.py @@ -0,0 +1,167 @@ +import logging +from dataclasses import dataclass +from typing import TYPE_CHECKING, List, Optional + +import pyarrow as pa + +from ray.data.aggregate import ( + AggregateFnV2, + Count, + Max, + Mean, + Min, + MissingValuePercentage, + Std, + ZeroPercentage, +) + +if TYPE_CHECKING: + from ray.data import Dataset + + +logger = logging.getLogger(__name__) + + +def numerical_aggregators(column: str) -> List[AggregateFnV2]: + """Generate default metrics for numerical columns. + + This function returns a list of aggregators that compute the following metrics: + - count + - mean + - min + - max + - std + - missing_value_percentage + - zero_percentage + + Args: + column: The name of the numerical column to compute metrics for. + + Returns: + A list of AggregateFnV2 instances that can be used with Dataset.aggregate() + """ + return [ + Count(on=column, ignore_nulls=False), + Mean(on=column, ignore_nulls=True), + Min(on=column, ignore_nulls=True), + Max(on=column, ignore_nulls=True), + Std(on=column, ignore_nulls=True, ddof=0), + MissingValuePercentage(on=column), + ZeroPercentage(on=column, ignore_nulls=True), + ] + + +def categorical_aggregators(column: str) -> List[AggregateFnV2]: + """Generate default metrics for string columns. + + This function returns a list of aggregators that compute the following metrics: + - count + - MissingValuePercentage + + Args: + column: The name of the categorical column to compute metrics for. + + Returns: + A list of AggregateFnV2 instances that can be used with Dataset.aggregate() + """ + return [ + Count(on=column, ignore_nulls=False), + MissingValuePercentage(on=column), + ] + + +def vector_aggregators(column: str) -> List[AggregateFnV2]: + """Generate default metrics for vector columns. + + This function returns a list of aggregators that compute the following metrics: + - count + - MissingValuePercentage + """ + return [ + Count(on=column, ignore_nulls=False), + MissingValuePercentage(on=column), + ] + + +@dataclass +class FeatureAggregators: + """Container for categorized columns and their aggregators.""" + + numerical_columns: List[str] + str_columns: List[str] + vector_columns: List[str] + aggregators: List[AggregateFnV2] + + +def feature_aggregators_for_dataset( + dataset: "Dataset", columns: Optional[List[str]] = None +) -> FeatureAggregators: + """Generate aggregators for all columns in a dataset. + + Args: + dataset: A Ray Dataset instance + columns: A list of columns to include in the summary. If None, all columns will be included. + Returns: + FeatureAggregators containing categorized column names and their aggregators + """ + schema = dataset.schema() + if not schema: + raise ValueError("Dataset must have a schema to determine numerical columns") + + if columns is None: + columns = schema.names + + # Validate columns exist in schema + missing_cols = set(columns) - set(schema.names) + if missing_cols: + raise ValueError(f"Columns {missing_cols} not found in dataset schema") + + # Categorize columns and build aggregators + numerical_columns = [] + str_columns = [] + vector_columns = [] + all_aggs = [] + + # Get column types - Ray's Schema provides names and types as lists + column_names = schema.names + column_types = schema.types + + # Create a mapping of column names to types + name_to_type = dict(zip(column_names, column_types)) + + for name in columns: + if name not in name_to_type: + continue + + ftype = name_to_type[name] + + if not isinstance(ftype, pa.DataType): + logger.warning( + f"Skipping field {name}: type {ftype} is not a PyArrow DataType" + ) + continue + + # Check for numerical types (including boolean as numerical) + if ( + pa.types.is_integer(ftype) + or pa.types.is_floating(ftype) + or pa.types.is_decimal(ftype) + or pa.types.is_boolean(ftype) + ): + numerical_columns.append(name) + all_aggs.extend(numerical_aggregators(name)) + elif pa.types.is_string(ftype): + str_columns.append(name) + all_aggs.extend(categorical_aggregators(name)) + elif pa.types.is_list(ftype): + vector_columns.append(name) + all_aggs.extend(vector_aggregators(name)) + else: + logger.warning(f"Skipping field {name}: type {ftype} not supported") + + return FeatureAggregators( + numerical_columns=numerical_columns, + str_columns=str_columns, + vector_columns=vector_columns, + aggregators=all_aggs, + ) diff --git a/python/ray/data/tests/test_custom_agg.py b/python/ray/data/tests/test_custom_agg.py new file mode 100644 index 000000000000..bbb427566988 --- /dev/null +++ b/python/ray/data/tests/test_custom_agg.py @@ -0,0 +1,282 @@ +import numpy as np +import pytest + +import ray +from ray.data.aggregate import MissingValuePercentage, ZeroPercentage +from ray.data.tests.conftest import * # noqa +from ray.tests.conftest import * # noqa + + +class TestMissingValuePercentage: + """Test cases for MissingValuePercentage aggregation.""" + + def test_missing_value_percentage_basic(self, ray_start_regular_shared_2_cpus): + """Test basic missing value percentage calculation.""" + # Create test data with some null values + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": None}, + {"id": 3, "value": 30}, + {"id": 4, "value": None}, + {"id": 5, "value": 50}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 40.0 # 2 nulls out of 5 total = 40% + + assert result["missing_pct(value)"] == expected + + def test_missing_value_percentage_no_nulls(self, ray_start_regular_shared_2_cpus): + """Test missing value percentage with no null values.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 20}, + {"id": 3, "value": 30}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 0.0 # 0 nulls out of 3 total = 0% + + assert result["missing_pct(value)"] == expected + + def test_missing_value_percentage_all_nulls(self, ray_start_regular_shared_2_cpus): + """Test missing value percentage with all null values.""" + data = [ + {"id": 1, "value": None}, + {"id": 2, "value": None}, + {"id": 3, "value": None}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 100.0 # 3 nulls out of 3 total = 100% + + assert result["missing_pct(value)"] == expected + + def test_missing_value_percentage_with_nan(self, ray_start_regular_shared_2_cpus): + """Test missing value percentage with NaN values.""" + data = [ + {"id": 1, "value": 10.0}, + {"id": 2, "value": np.nan}, + {"id": 3, "value": None}, + {"id": 4, "value": 40.0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 50.0 # 2 nulls (NaN + None) out of 4 total = 50% + + assert result["missing_pct(value)"] == expected + + def test_missing_value_percentage_with_string( + self, ray_start_regular_shared_2_cpus + ): + """Test missing value percentage with string values.""" + data = [ + {"id": 1, "value": "a"}, + {"id": 2, "value": None}, + {"id": 3, "value": None}, + {"id": 4, "value": "b"}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 50.0 # 2 None out of 4 total = 50% + + assert result["missing_pct(value)"] == expected + + def test_missing_value_percentage_custom_alias( + self, ray_start_regular_shared_2_cpus + ): + """Test missing value percentage with custom alias name.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": None}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value", alias_name="null_pct")) + expected = 50.0 # 1 null out of 2 total = 50% + + assert result["null_pct"] == expected + + def test_missing_value_percentage_large_dataset( + self, ray_start_regular_shared_2_cpus + ): + """Test missing value percentage with larger dataset.""" + # Create a larger dataset with known null percentage + data = [] + for i in range(1000): + value = None if i % 10 == 0 else i # 10% null values + data.append({"id": i, "value": value}) + + ds = ray.data.from_items(data) + + result = ds.aggregate(MissingValuePercentage(on="value")) + expected = 10.0 # 100 nulls out of 1000 total = 10% + + assert abs(result["missing_pct(value)"] - expected) < 0.01 + + +class TestZeroPercentage: + """Test cases for ZeroPercentage aggregation.""" + + def test_zero_percentage_basic(self, ray_start_regular_shared_2_cpus): + """Test basic zero percentage calculation.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 0}, + {"id": 3, "value": 30}, + {"id": 4, "value": 0}, + {"id": 5, "value": 50}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 40.0 # 2 zeros out of 5 total = 40% + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_no_zeros(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with no zero values.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 20}, + {"id": 3, "value": 30}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 0.0 # 0 zeros out of 3 total = 0% + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_all_zeros(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with all zero values.""" + data = [ + {"id": 1, "value": 0}, + {"id": 2, "value": 0}, + {"id": 3, "value": 0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 100.0 # 3 zeros out of 3 total = 100% + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_with_nulls_ignore_nulls_true( + self, ray_start_regular_shared_2_cpus + ): + """Test zero percentage with null values when ignore_nulls=True.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 0}, + {"id": 3, "value": None}, + {"id": 4, "value": 0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value", ignore_nulls=True)) + expected = 66.67 # 2 zeros out of 3 non-null values ≈ 66.67% + + assert abs(result["zero_pct(value)"] - expected) < 0.01 + + def test_zero_percentage_with_nulls_ignore_nulls_false( + self, ray_start_regular_shared_2_cpus + ): + """Test zero percentage with null values when ignore_nulls=False.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 0}, + {"id": 3, "value": None}, + {"id": 4, "value": 0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value", ignore_nulls=False)) + expected = 50.0 # 2 zeros out of 4 total values = 50% + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_all_nulls(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with all null values.""" + data = [ + {"id": 1, "value": None}, + {"id": 2, "value": None}, + {"id": 3, "value": None}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value", ignore_nulls=True)) + expected = None # No non-null values to calculate percentage + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_custom_alias(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with custom alias name.""" + data = [ + {"id": 1, "value": 10}, + {"id": 2, "value": 0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value", alias_name="zero_ratio")) + expected = 50.0 # 1 zero out of 2 total = 50% + + assert result["zero_ratio"] == expected + + def test_zero_percentage_large_dataset(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with larger dataset.""" + # Create a larger dataset with known zero percentage + data = [] + for i in range(1000): + value = 0 if i % 5 == 0 else i # 20% zero values + data.append({"id": i, "value": value}) + + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 20.0 # 200 zeros out of 1000 total = 20% + + assert abs(result["zero_pct(value)"] - expected) < 0.01 + + def test_zero_percentage_float_zeros(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with float zero values.""" + data = [ + {"id": 1, "value": 10.5}, + {"id": 2, "value": 0.0}, + {"id": 3, "value": 30.7}, + {"id": 4, "value": 0.0}, + {"id": 5, "value": 50.2}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 40.0 # 2 zeros out of 5 total = 40% + + assert result["zero_pct(value)"] == expected + + def test_zero_percentage_negative_values(self, ray_start_regular_shared_2_cpus): + """Test zero percentage with negative values (zeros should still be counted).""" + data = [ + {"id": 1, "value": -10}, + {"id": 2, "value": 0}, + {"id": 3, "value": 30}, + {"id": 4, "value": -5}, + {"id": 5, "value": 0}, + ] + ds = ray.data.from_items(data) + + result = ds.aggregate(ZeroPercentage(on="value")) + expected = 40.0 # 2 zeros out of 5 total = 40% + + assert result["zero_pct(value)"] == expected + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/data/tests/test_dataset_stats.py b/python/ray/data/tests/test_dataset_stats.py new file mode 100644 index 000000000000..d83516c18d90 --- /dev/null +++ b/python/ray/data/tests/test_dataset_stats.py @@ -0,0 +1,412 @@ +import pyarrow as pa +import pytest +from packaging.version import parse as parse_version + +import ray +from ray.data.aggregate import ( + Count, + Max, + Mean, + Min, + MissingValuePercentage, + Std, + ZeroPercentage, +) +from ray.data.stats import ( + FeatureAggregators, + categorical_aggregators, + feature_aggregators_for_dataset, + numerical_aggregators, + vector_aggregators, +) +from ray.data.tests.conftest import get_pyarrow_version + + +class TestFeatureAggregatorsForDataset: + """Test suite for feature_aggregators_for_dataset function.""" + + def test_numerical_columns_detection(self): + """Test that numerical columns are correctly identified and get appropriate aggregators.""" + # Create a dataset with various numerical types + data = [ + {"int_col": 1, "float_col": 1.5, "decimal_col": 2.3, "string_col": "a"}, + {"int_col": 2, "float_col": 2.5, "decimal_col": 3.3, "string_col": "b"}, + {"int_col": 3, "float_col": 3.5, "decimal_col": 4.3, "string_col": "c"}, + ] + + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Check that numerical columns are identified + assert "int_col" in feature_aggs.numerical_columns + assert "float_col" in feature_aggs.numerical_columns + assert "decimal_col" in feature_aggs.numerical_columns + assert "string_col" not in feature_aggs.numerical_columns + + # Check that string columns are identified + assert "string_col" in feature_aggs.str_columns + assert "int_col" not in feature_aggs.str_columns + + # Check that no vector columns are identified + assert len(feature_aggs.vector_columns) == 0 + + # Check that we have the right number of aggregators + # 3 numerical columns * 7 aggregators each + 1 string column * 2 aggregators = 23 total + assert len(feature_aggs.aggregators) == 23 + + def test_categorical_columns_detection(self): + """Test that string columns are correctly identified as categorical.""" + data = [ + {"category": "A", "name": "Alice", "value": 1}, + {"category": "B", "name": "Bob", "value": 2}, + {"category": "A", "name": "Charlie", "value": 3}, + ] + + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Check categorical columns + assert "category" in feature_aggs.str_columns + assert "name" in feature_aggs.str_columns + assert "value" not in feature_aggs.str_columns + + # Check numerical columns + assert "value" in feature_aggs.numerical_columns + assert "category" not in feature_aggs.numerical_columns + + # Check aggregator count: 1 numerical * 7 + 2 categorical * 2 = 11 + assert len(feature_aggs.aggregators) == 11 + + def test_vector_columns_detection(self): + """Test that list columns are correctly identified as vector columns.""" + data = [ + {"vector": [1, 2, 3], "scalar": 1, "text": "hello"}, + {"vector": [4, 5, 6], "scalar": 2, "text": "world"}, + {"vector": [7, 8, 9], "scalar": 3, "text": "test"}, + ] + + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Check vector columns + assert "vector" in feature_aggs.vector_columns + assert "scalar" not in feature_aggs.vector_columns + assert "text" not in feature_aggs.vector_columns + + # Check other column types + assert "scalar" in feature_aggs.numerical_columns + assert "text" in feature_aggs.str_columns + + # Check aggregator count: 1 numerical * 7 + 1 categorical * 2 + 1 vector * 2 = 11 + assert len(feature_aggs.aggregators) == 11 + + def test_mixed_column_types(self): + """Test dataset with all column types mixed together.""" + data = [ + { + "int_val": 1, + "float_val": 1.5, + "string_val": "a", + "vector_val": [1, 2], + "bool_val": True, + }, + { + "int_val": 2, + "float_val": 2.5, + "string_val": "b", + "vector_val": [3, 4], + "bool_val": False, + }, + ] + + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Check column classification + assert "int_val" in feature_aggs.numerical_columns + assert "float_val" in feature_aggs.numerical_columns + assert "string_val" in feature_aggs.str_columns + assert "vector_val" in feature_aggs.vector_columns + # bool_val should be treated as numerical (integer-like) + assert "bool_val" in feature_aggs.numerical_columns + + # Check aggregator count: 3 numerical * 7 + 1 categorical * 2 + 1 vector * 2 = 25 + assert len(feature_aggs.aggregators) == 25 + + def test_column_filtering(self): + """Test that only specified columns are included when columns parameter is provided.""" + data = [ + {"col1": 1, "col2": "a", "col3": [1, 2], "col4": 1.5}, + {"col1": 2, "col2": "b", "col3": [3, 4], "col4": 2.5}, + ] + + ds = ray.data.from_items(data) + + # Test with specific columns + feature_aggs = feature_aggregators_for_dataset(ds, columns=["col1", "col3"]) + + # Should only include col1 and col3 + assert "col1" in feature_aggs.numerical_columns + assert "col2" not in feature_aggs.str_columns + assert "col3" in feature_aggs.vector_columns + assert "col4" not in feature_aggs.numerical_columns + + # Check aggregator count: 1 numerical * 7 + 1 vector * 2 = 9 + assert len(feature_aggs.aggregators) == 9 + + def test_empty_dataset_schema(self): + """Test behavior with empty dataset that has no schema.""" + # Create an empty dataset + ds = ray.data.from_items([]) + + with pytest.raises(ValueError, match="Dataset must have a schema"): + feature_aggregators_for_dataset(ds) + + def test_invalid_columns_parameter(self): + """Test error handling when columns parameter contains non-existent columns.""" + data = [{"col1": 1, "col2": "a"}] + ds = ray.data.from_items(data) + + with pytest.raises(ValueError, match="Columns .* not found in dataset schema"): + feature_aggregators_for_dataset(ds, columns=["col1", "nonexistent_col"]) + + @pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="Test requires PyArrow >= 20.0.0", + ) + def test_unsupported_column_types(self): + """Test that unsupported column types are handled gracefully.""" + + table = pa.table( + { + "supported_int": [1, 2, 3], + "supported_string": ["a", "b", "c"], + "unsupported_timestamp": [pa.scalar(0, type=pa.timestamp("us"))] * 3, + "unsupported_binary": [b"data"] * 3, + } + ) + + ds = ray.data.from_arrow(table) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Only supported types should be included + assert "supported_int" in feature_aggs.numerical_columns + assert "supported_string" in feature_aggs.str_columns + assert "unsupported_timestamp" not in feature_aggs.numerical_columns + assert "unsupported_timestamp" not in feature_aggs.str_columns + assert "unsupported_timestamp" not in feature_aggs.vector_columns + assert "unsupported_binary" not in feature_aggs.numerical_columns + assert "unsupported_binary" not in feature_aggs.str_columns + assert "unsupported_binary" not in feature_aggs.vector_columns + + # Check aggregator count: 1 numerical * 7 + 1 categorical * 2 = 9 + assert len(feature_aggs.aggregators) == 9 + + def test_aggregator_types_verification(self): + """Test that the correct aggregator types are generated for each column type.""" + data = [ + {"num": 1, "cat": "a", "vec": [1, 2]}, + {"num": 2, "cat": "b", "vec": [3, 4]}, + ] + + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Check that we have the right types of aggregators + agg_names = [agg.name for agg in feature_aggs.aggregators] + + # Numerical aggregators should include all 7 types + num_agg_names = [name for name in agg_names if "num" in name] + assert len(num_agg_names) == 7 + assert any("count" in name.lower() for name in num_agg_names) + assert any("mean" in name.lower() for name in num_agg_names) + assert any("min" in name.lower() for name in num_agg_names) + assert any("max" in name.lower() for name in num_agg_names) + assert any("std" in name.lower() for name in num_agg_names) + assert any("missing" in name.lower() for name in num_agg_names) + assert any("zero" in name.lower() for name in num_agg_names) + + # Categorical aggregators should include count and missing percentage + cat_agg_names = [name for name in agg_names if "cat" in name] + assert len(cat_agg_names) == 2 + assert any("count" in name.lower() for name in cat_agg_names) + assert any("missing" in name.lower() for name in cat_agg_names) + + # Vector aggregators should include count and missing percentage + vec_agg_names = [name for name in agg_names if "vec" in name] + assert len(vec_agg_names) == 2 + assert any("count" in name.lower() for name in vec_agg_names) + assert any("missing" in name.lower() for name in vec_agg_names) + + def test_aggregator_instances_verification(self): + """Test that the actual aggregator instances are of the correct types.""" + data = [{"num": 1, "cat": "a"}] + ds = ray.data.from_items(data) + feature_aggs = feature_aggregators_for_dataset(ds) + + # Find aggregators for the numerical column + num_aggs = [agg for agg in feature_aggs.aggregators if "num" in agg.name] + assert len(num_aggs) == 7 + + # Check that we have the right aggregator types + agg_types = [type(agg) for agg in num_aggs] + assert Count in agg_types + assert Mean in agg_types + assert Min in agg_types + assert Max in agg_types + assert Std in agg_types + assert MissingValuePercentage in agg_types + assert ZeroPercentage in agg_types + + # Find aggregators for the categorical column + cat_aggs = [agg for agg in feature_aggs.aggregators if "cat" in agg.name] + assert len(cat_aggs) == 2 + + # Check that we have the right aggregator types for categorical + cat_agg_types = [type(agg) for agg in cat_aggs] + assert Count in cat_agg_types + assert MissingValuePercentage in cat_agg_types + # Should not have numerical aggregators for categorical columns + assert Mean not in cat_agg_types + assert Min not in cat_agg_types + assert Max not in cat_agg_types + assert Std not in cat_agg_types + assert ZeroPercentage not in cat_agg_types + + def test_return_dataclass_structure(self): + """Test that the function returns the correct FeatureAggregators dataclass.""" + data = [{"num": 1, "cat": "a", "vec": [1, 2]}] + ds = ray.data.from_items(data) + result = feature_aggregators_for_dataset(ds) + + # Should return a FeatureAggregators dataclass + assert isinstance(result, FeatureAggregators) + + # Check that attributes exist and are lists + assert isinstance(result.numerical_columns, list) + assert isinstance(result.str_columns, list) + assert isinstance(result.vector_columns, list) + assert isinstance(result.aggregators, list) + + # Check that column names are strings + for col in ( + result.numerical_columns + result.str_columns + result.vector_columns + ): + assert isinstance(col, str) + + # Check that aggregators have required attributes + for agg in result.aggregators: + assert hasattr(agg, "name") + assert hasattr(agg, "get_target_column") + + def test_none_columns_parameter(self): + """Test that None columns parameter includes all columns.""" + data = [{"col1": 1, "col2": "a"}] + ds = ray.data.from_items(data) + + # Test with None (should be same as not providing columns parameter) + result1 = feature_aggregators_for_dataset(ds, columns=None) + result2 = feature_aggregators_for_dataset(ds) + + # Compare the dataclass attributes + assert result1.numerical_columns == result2.numerical_columns + assert result1.str_columns == result2.str_columns + assert result1.vector_columns == result2.vector_columns + assert len(result1.aggregators) == len(result2.aggregators) + + def test_empty_columns_list(self): + """Test behavior with empty columns list.""" + data = [{"col1": 1, "col2": "a"}] + ds = ray.data.from_items(data) + + feature_aggs = feature_aggregators_for_dataset(ds, columns=[]) + + # Should have no columns and no aggregators + assert len(feature_aggs.numerical_columns) == 0 + assert len(feature_aggs.str_columns) == 0 + assert len(feature_aggs.vector_columns) == 0 + assert len(feature_aggs.aggregators) == 0 + + def test_large_dataset_performance(self): + """Test performance with a larger dataset to ensure it scales reasonably.""" + # Create a larger dataset + data = [] + for i in range(1000): + data.append( + { + "id": i, + "value": i * 1.5, + "category": f"cat_{i % 10}", + "vector": [i, i + 1, i + 2], + } + ) + + ds = ray.data.from_items(data) + + # Should complete without issues + feature_aggs = feature_aggregators_for_dataset(ds) + + # Verify results + assert "id" in feature_aggs.numerical_columns + assert "value" in feature_aggs.numerical_columns + assert "category" in feature_aggs.str_columns + assert "vector" in feature_aggs.vector_columns + + # Check aggregator count: 2 numerical * 7 + 1 categorical * 2 + 1 vector * 2 = 18 + assert len(feature_aggs.aggregators) == 18 + + +class TestIndividualAggregatorFunctions: + """Test suite for individual aggregator functions.""" + + def test_numerical_aggregators(self): + """Test numerical_aggregators function.""" + aggs = numerical_aggregators("test_column") + + assert len(aggs) == 7 + assert all(hasattr(agg, "get_target_column") for agg in aggs) + assert all(agg.get_target_column() == "test_column" for agg in aggs) + + # Check aggregator types + agg_types = [type(agg) for agg in aggs] + assert Count in agg_types + assert Mean in agg_types + assert Min in agg_types + assert Max in agg_types + assert Std in agg_types + assert MissingValuePercentage in agg_types + assert ZeroPercentage in agg_types + + def test_categorical_aggregators(self): + """Test categorical_aggregators function.""" + aggs = categorical_aggregators("test_column") + + assert len(aggs) == 2 + assert all(hasattr(agg, "get_target_column") for agg in aggs) + assert all(agg.get_target_column() == "test_column" for agg in aggs) + + # Check aggregator types + agg_types = [type(agg) for agg in aggs] + assert Count in agg_types + assert MissingValuePercentage in agg_types + + def test_vector_aggregators(self): + """Test vector_aggregators function.""" + aggs = vector_aggregators("test_column") + + assert len(aggs) == 2 + assert all(hasattr(agg, "get_target_column") for agg in aggs) + assert all(agg.get_target_column() == "test_column" for agg in aggs) + + # Check aggregator types + agg_types = [type(agg) for agg in aggs] + assert Count in agg_types + assert MissingValuePercentage in agg_types + + +if __name__ == "__main__": + import sys + + import pytest + + sys.exit(pytest.main(["-v", __file__])) From b40b2b6c45cd41cc8fc015e25e004ebba18b50df Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 22 Sep 2025 13:53:05 -0500 Subject: [PATCH 1320/1566] [core] Improve GCS actor manager logs on node death (#56787) - Only logging when action is being taken. - Logging more context about what specifically is happening. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_actor_manager.cc | 67 +++++++++++++++++++++++++++++++- 1 file changed, 66 insertions(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_actor_manager.cc b/src/ray/gcs/gcs_actor_manager.cc index 8c5e69f0853e..a54bec0f9951 100644 --- a/src/ray/gcs/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_actor_manager.cc @@ -18,6 +18,7 @@ #include #include #include +#include #include #include #include @@ -1205,7 +1206,7 @@ void GcsActorManager::OnWorkerDead(const ray::NodeID &node_id, void GcsActorManager::OnNodeDead(std::shared_ptr node, const std::string node_ip_address) { const auto node_id = NodeID::FromBinary(node->node_id()); - RAY_LOG(INFO).WithField(node_id) << "Node is dead, reconstructing actors."; + RAY_LOG(DEBUG).WithField(node_id) << "Node is dead, reconstructing actors."; // Kill all children of owner actors on a dead node. const auto it = owners_.find(node_id); if (it != owners_.end()) { @@ -1216,6 +1217,20 @@ void GcsActorManager::OnNodeDead(std::shared_ptr node, children_ids.emplace(owner.first, child_id); } } + + if (!children_ids.empty()) { + std::ostringstream oss; + oss << "Node died; killing actors that were owned by workers on it: "; + for (auto child_it = children_ids.begin(); child_it != children_ids.end(); + child_it++) { + if (child_it != children_ids.begin()) { + oss << ", "; + } + oss << child_it->second.Hex(); + } + RAY_LOG(INFO).WithField(node_id) << oss.str(); + } + for (const auto &[owner_id, child_id] : children_ids) { DestroyActor(child_id, GenOwnerDiedCause(GetActor(child_id), @@ -1228,6 +1243,21 @@ void GcsActorManager::OnNodeDead(std::shared_ptr node, // Cancel scheduling actors that haven't been created on the node. auto scheduling_actor_ids = gcs_actor_scheduler_->CancelOnNode(node_id); + + if (!scheduling_actor_ids.empty()) { + std::ostringstream oss; + oss << "Node died; rescheduling actors that were being scheduled on it: "; + for (auto reschedule_it = scheduling_actor_ids.begin(); + reschedule_it != scheduling_actor_ids.end(); + reschedule_it++) { + if (reschedule_it != scheduling_actor_ids.begin()) { + oss << ", "; + } + oss << reschedule_it->Hex(); + } + RAY_LOG(INFO).WithField(node_id) << oss.str(); + } + for (auto &actor_id : scheduling_actor_ids) { RestartActor(actor_id, /*need_reschedule=*/true, @@ -1240,6 +1270,20 @@ void GcsActorManager::OnNodeDead(std::shared_ptr node, auto created_actors = std::move(iter->second); // Remove all created actors from node_to_created_actors_. created_actors_.erase(iter); + + if (!created_actors.empty()) { + std::ostringstream oss; + oss << "Node died; reconstructing actors that were running on it: "; + for (auto created_it = created_actors.begin(); created_it != created_actors.end(); + created_it++) { + if (created_it != created_actors.begin()) { + oss << ", "; + } + oss << created_it->second.Hex(); + } + RAY_LOG(INFO).WithField(node_id) << oss.str(); + } + for (auto &entry : created_actors) { // Reconstruct the removed actor. RestartActor(entry.second, @@ -1252,6 +1296,27 @@ void GcsActorManager::OnNodeDead(std::shared_ptr node, // case, these actors will never be created successfully. So we need to destroy them, // to prevent actor tasks hang forever. auto unresolved_actors = GetUnresolvedActorsByOwnerNode(node_id); + + if (!unresolved_actors.empty()) { + bool first = false; + std::ostringstream oss; + oss << "Node died; rescheduling actors that were resolving dependencies on it: "; + for (auto unresolved_it = unresolved_actors.begin(); + unresolved_it != unresolved_actors.end(); + unresolved_it++) { + for (auto actor_it = unresolved_it->second.begin(); + actor_it != unresolved_it->second.end(); + actor_it++) { + if (!first) { + oss << ", "; + } + first = false; + oss << actor_it->Hex(); + } + } + RAY_LOG(INFO).WithField(node_id) << oss.str(); + } + for (const auto &[owner_id, actor_ids] : unresolved_actors) { for (const auto &actor_id : actor_ids) { if (registered_actors_.count(actor_id)) { From d58409472d7566d97811090c4638997fedc453dc Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Mon, 22 Sep 2025 12:34:20 -0700 Subject: [PATCH 1321/1566] [core] Separate out core worker client interface from core worker client (#56776) CoreWorkerClientInterface was a noop class in the same file as CoreWorkerInterface. Extracted it out and made it a pure virtual class. Also checked every usage of core_worker_client in header/bazel files to make sure that they were actually required. Also did some basic bazel hygiene here and there to check for unnecessary includes/dependencies. Also noticed FakeRayletClient wasn't in rpc namespace, moved it there. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/mock/ray/rpc/worker/core_worker_client.h | 30 +++- src/ray/core_worker/BUILD.bazel | 9 +- src/ray/core_worker/core_worker_process.cc | 2 + src/ray/core_worker/future_resolver.h | 2 - src/ray/core_worker/reference_count.cc | 1 + src/ray/core_worker/reference_count.h | 5 +- .../memory_store/memory_store.h | 1 + .../task_execution/tests/BUILD.bazel | 2 +- .../tests/task_receiver_test.cc | 2 +- src/ray/core_worker/task_manager.h | 1 + .../core_worker/task_submission/BUILD.bazel | 4 +- .../task_submission/actor_task_submitter.h | 2 +- .../task_submission/normal_task_submitter.h | 1 - .../task_submission/tests/BUILD.bazel | 5 +- .../tests/actor_task_submitter_test.cc | 4 +- .../tests/normal_task_submitter_test.cc | 7 +- src/ray/core_worker/tests/BUILD.bazel | 4 + src/ray/core_worker/tests/core_worker_test.cc | 9 +- .../tests/mutable_object_provider_test.cc | 2 +- .../tests/object_recovery_manager_test.cc | 2 +- .../core_worker/tests/reference_count_test.cc | 3 +- src/ray/gcs/BUILD.bazel | 8 +- src/ray/gcs/gcs_actor_manager.h | 2 +- src/ray/gcs/gcs_job_manager.h | 1 - src/ray/gcs/gcs_server.cc | 2 + src/ray/gcs/tests/BUILD.bazel | 8 +- .../gcs_actor_manager_export_event_test.cc | 4 +- .../gcs_job_manager_export_event_test.cc | 1 + .../gcs_node_manager_export_event_test.cc | 2 +- src/ray/gcs/tests/gcs_actor_manager_test.cc | 3 +- .../tests/gcs_actor_scheduler_mock_test.cc | 1 + src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 10 +- .../gcs_autoscaler_state_manager_test.cc | 4 +- src/ray/gcs/tests/gcs_job_manager_test.cc | 1 + src/ray/gcs/tests/gcs_node_manager_test.cc | 2 +- .../gcs_placement_group_scheduler_test.cc | 4 +- src/ray/gcs/tests/gcs_server_test_util.h | 2 +- src/ray/object_manager/BUILD.bazel | 2 +- .../ownership_object_directory.cc | 1 - .../ownership_object_directory.h | 3 +- src/ray/object_manager/tests/BUILD.bazel | 1 + .../tests/ownership_object_directory_test.cc | 3 +- src/ray/raylet/BUILD.bazel | 12 +- src/ray/raylet/local_object_manager.h | 2 - src/ray/raylet/main.cc | 2 + src/ray/raylet/node_manager.cc | 1 + src/ray/raylet/tests/BUILD.bazel | 6 +- .../raylet/tests/local_object_manager_test.cc | 6 +- src/ray/raylet/tests/node_manager_test.cc | 4 +- src/ray/raylet/tests/worker_pool_test.cc | 3 +- src/ray/raylet/worker.cc | 1 + src/ray/raylet/worker.h | 7 +- src/ray/rpc/BUILD.bazel | 48 ++++- src/ray/rpc/raylet/fake_raylet_client.h | 116 ++++++------ .../raylet/tests/raylet_client_pool_test.cc | 31 ++-- src/ray/rpc/tests/BUILD.bazel | 3 +- .../rpc/tests/core_worker_client_pool_test.cc | 7 +- src/ray/rpc/utils.h | 41 +++++ src/ray/rpc/worker/core_worker_client.cc | 2 + src/ray/rpc/worker/core_worker_client.h | 170 +----------------- .../rpc/worker/core_worker_client_interface.h | 132 ++++++++++++++ src/ray/rpc/worker/core_worker_client_pool.cc | 3 +- src/ray/rpc/worker/core_worker_client_pool.h | 6 +- src/ray/rpc/worker/fake_core_worker_client.h | 122 ++++++++++++- 64 files changed, 544 insertions(+), 344 deletions(-) create mode 100644 src/ray/rpc/utils.h create mode 100644 src/ray/rpc/worker/core_worker_client_interface.h diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index 868c48c65b89..a2a4a9ffa253 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -15,14 +15,15 @@ #pragma once #include "gmock/gmock.h" -#include "ray/pubsub/subscriber_interface.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_interface.h" namespace ray { namespace rpc { class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { public: + MOCK_METHOD(const Address &, Addr, (), (const, override)); + MOCK_METHOD(bool, IsIdleAfterRPCs, (), (const, override)); MOCK_METHOD(void, PushActorTask, (std::unique_ptr request, @@ -129,6 +130,31 @@ class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { (const AssignObjectOwnerRequest &request, const ClientCallback &callback), (override)); + MOCK_METHOD(void, + ReportGeneratorItemReturns, + (ReportGeneratorItemReturnsRequest && request, + const ClientCallback &callback), + (override)); + MOCK_METHOD(void, + RegisterMutableObjectReader, + (const RegisterMutableObjectReaderRequest &request, + const ClientCallback &callback), + (override)); + MOCK_METHOD(void, + DeleteObjects, + (const DeleteObjectsRequest &request, + const ClientCallback &callback), + (override)); + MOCK_METHOD(void, + RayletNotifyGCSRestart, + (const RayletNotifyGCSRestartRequest &request, + const ClientCallback &callback), + (override)); + MOCK_METHOD(void, + FreeActorObject, + (const FreeActorObjectRequest &request, + const ClientCallback &callback), + (override)); MOCK_METHOD(std::string, DebugString, (), (const, override)); }; diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 429655af4fe1..3905da807239 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -44,6 +44,7 @@ ray_cc_library( "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:raylet_client_lib", "//src/ray/stats:stats_lib", @@ -203,8 +204,7 @@ ray_cc_library( "//src/ray/protobuf:common_cc_proto", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:grpc_server", + "//src/ray/rpc:utils", "//src/ray/util:logging", "//src/ray/util:network_util", "@com_google_absl//absl/base:core_headers", @@ -261,6 +261,7 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/ipc:raylet_ipc_client_interface", + "//src/ray/rpc:utils", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -294,6 +295,7 @@ ray_cc_library( "//src/ray/common:protobuf_utils", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/rpc:core_worker_client_interface", "//src/ray/stats:stats_metric", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", @@ -328,9 +330,8 @@ ray_cc_library( hdrs = ["future_resolver.h"], deps = [ ":memory_store", - "//src/ray/common:grpc_util", "//src/ray/common:id", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", ], ) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 1e819d3b2780..722e48950d55 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -37,6 +37,8 @@ #include "ray/ipc/raylet_ipc_client.h" #include "ray/object_manager/plasma/client.h" #include "ray/rpc/raylet/raylet_client.h" +#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/stats.h" #include "ray/stats/tag_defs.h" #include "ray/util/container_util.h" diff --git a/src/ray/core_worker/future_resolver.h b/src/ray/core_worker/future_resolver.h index a1f17be97bcd..17870f1da37c 100644 --- a/src/ray/core_worker/future_resolver.h +++ b/src/ray/core_worker/future_resolver.h @@ -17,10 +17,8 @@ #include #include -#include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/core_worker/reference_count.cc b/src/ray/core_worker/reference_count.cc index 2f51b14467da..989263bb5762 100644 --- a/src/ray/core_worker/reference_count.cc +++ b/src/ray/core_worker/reference_count.cc @@ -21,6 +21,7 @@ #include #include +#include "ray/util/logging.h" #include "ray/util/network_util.h" #define PRINT_REF_COUNT(it) \ diff --git a/src/ray/core_worker/reference_count.h b/src/ray/core_worker/reference_count.h index 75e8423ca86e..67c0fc4214be 100644 --- a/src/ray/core_worker/reference_count.h +++ b/src/ray/core_worker/reference_count.h @@ -30,10 +30,7 @@ #include "ray/core_worker/lease_policy.h" #include "ray/pubsub/publisher_interface.h" #include "ray/pubsub/subscriber_interface.h" -#include "ray/rpc/grpc_server.h" -#include "ray/rpc/worker/core_worker_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/util/logging.h" +#include "ray/rpc/utils.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index 17d1d4df1555..31645962f82b 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -28,6 +28,7 @@ #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" #include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/rpc/utils.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_execution/tests/BUILD.bazel b/src/ray/core_worker/task_execution/tests/BUILD.bazel index 0f7c8e4a5cc2..7091a60d5179 100644 --- a/src/ray/core_worker/task_execution/tests/BUILD.bazel +++ b/src/ray/core_worker/task_execution/tests/BUILD.bazel @@ -60,7 +60,7 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:task_receiver", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_interface", "//src/ray/util:time", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc index 94b143bc9cb4..b24675d9583c 100644 --- a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_interface.h" #include "ray/util/time.h" namespace ray { diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index 43f6fce25ea9..b9e3f27dc504 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -32,6 +32,7 @@ #include "ray/core_worker/task_manager_interface.h" #include "ray/gcs_client/gcs_client.h" #include "ray/observability/metric_interface.h" +#include "ray/rpc/worker/core_worker_client_interface.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index 53fcf8b306d1..c36c78e0ebfb 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -70,7 +70,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/core_worker:actor_creator", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", @@ -94,7 +94,7 @@ ray_cc_library( "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager_interface", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:raylet_client_interface", "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index b077d7edb77c..aa19c665d531 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -31,7 +31,7 @@ #include "ray/core_worker/task_submission/dependency_resolver.h" #include "ray/core_worker/task_submission/out_of_order_actor_submit_queue.h" #include "ray/core_worker/task_submission/sequential_actor_submit_queue.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 86dfe685689f..488ebd18d174 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -31,7 +31,6 @@ #include "ray/core_worker/task_submission/dependency_resolver.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index c48789ef30a9..75b9016c2434 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -53,7 +53,7 @@ ray_cc_test( "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -71,7 +71,8 @@ ray_cc_test( "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", + "//src/ray/rpc:fake_core_worker_client", "//src/ray/rpc:fake_raylet_client", "//src/ray/rpc:raylet_client_interface", "@com_google_googletest//:gtest", diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index 0d49e7f8369b..f5fdfa6dd381 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -23,7 +23,7 @@ #include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/test_utils.h" #include "ray/core_worker/fake_actor_creator.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray::core { @@ -53,7 +53,7 @@ TaskSpecification CreateActorTaskHelper(ActorID actor_id, return task; } -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: const rpc::Address &Addr() const override { return addr; } diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index 420af33bae8d..3f88cb9bdee1 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -32,7 +32,8 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace core { @@ -92,7 +93,7 @@ TaskSpecification BuildTaskSpec(const std::unordered_map &r // Calls BuildTaskSpec with empty resources map and empty function descriptor TaskSpecification BuildEmptyTaskSpec(); -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: void PushNormalTask(std::unique_ptr request, const rpc::ClientCallback &callback) override { @@ -222,7 +223,7 @@ class MockTaskManager : public MockTaskManagerInterface { int num_generator_failed_and_resubmitted = 0; }; -class MockRayletClient : public FakeRayletClient { +class MockRayletClient : public rpc::FakeRayletClient { public: void ReturnWorkerLease(int worker_port, const LeaseID &lease_id, diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index d1e54d0a2706..5334253d9963 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -55,6 +55,7 @@ ray_cc_test( "//src/ray/pubsub:publisher", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", + "//src/ray/rpc:fake_core_worker_client", "@com_google_absl//absl/functional:bind_front", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -251,7 +252,10 @@ ray_cc_test( "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/observability:fake_metric", "//src/ray/pubsub:fake_subscriber", + "//src/ray/rpc:core_worker_client_pool", + "//src/ray/rpc:fake_core_worker_client", "//src/ray/rpc:fake_raylet_client", + "//src/ray/rpc:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index e9328a9eb669..719be588d137 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -50,6 +50,7 @@ #include "ray/pubsub/publisher.h" #include "ray/rpc/raylet/fake_raylet_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace core { @@ -99,15 +100,15 @@ class CoreWorkerTest : public ::testing::Test { auto core_worker_client_pool = std::make_shared([](const rpc::Address &) { - return std::make_shared(); + return std::make_shared(); }); auto raylet_client_pool = std::make_shared( - [](const rpc::Address &) { return std::make_shared(); }); + [](const rpc::Address &) { return std::make_shared(); }); auto mock_gcs_client = std::make_shared(); - auto fake_local_raylet_rpc_client = std::make_shared(); + auto fake_local_raylet_rpc_client = std::make_shared(); auto fake_raylet_ipc_client = std::make_shared(); @@ -181,7 +182,7 @@ class CoreWorkerTest : public ::testing::Test { RayConfig::instance().max_lineage_bytes(), *task_event_buffer, [](const ActorID &actor_id) { - return std::make_shared(); + return std::make_shared(); }, mock_gcs_client, fake_task_by_state_counter_); diff --git a/src/ray/core_worker/tests/mutable_object_provider_test.cc b/src/ray/core_worker/tests/mutable_object_provider_test.cc index 2a4d12ebd56d..fa7b4abafd4f 100644 --- a/src/ray/core_worker/tests/mutable_object_provider_test.cc +++ b/src/ray/core_worker/tests/mutable_object_provider_test.cc @@ -74,7 +74,7 @@ class TestPlasma : public plasma::MockPlasmaClient { std::unordered_set objects_; }; -class MockRayletClient : public FakeRayletClient { +class MockRayletClient : public rpc::FakeRayletClient { public: virtual ~MockRayletClient() {} diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 2382cc845866..03437d7dfef6 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -63,7 +63,7 @@ class MockTaskManager : public MockTaskManagerInterface { int num_tasks_resubmitted = 0; }; -class MockRayletClient : public FakeRayletClient { +class MockRayletClient : public rpc::FakeRayletClient { public: void PinObjectIDs( const rpc::Address &caller_address, diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 01003a63ed23..6854ca0c4073 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -31,6 +31,7 @@ #include "ray/pubsub/publisher.h" #include "ray/pubsub/publisher_interface.h" #include "ray/pubsub/subscriber_interface.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace core { @@ -114,7 +115,7 @@ static std::string GenerateID(UniqueID publisher_id, UniqueID subscriber_id) { return publisher_id.Binary() + subscriber_id.Binary(); } -class MockCoreWorkerClientInterface : public rpc::CoreWorkerClientInterface { +class MockCoreWorkerClientInterface : public rpc::FakeCoreWorkerClient { public: ~MockCoreWorkerClientInterface() = default; virtual void WaitForRefRemoved(const ObjectID object_id, diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 435283cd47cd..7c8caf53ca01 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -256,7 +256,7 @@ ray_cc_library( "//src/ray/observability:ray_driver_job_execution_event", "//src/ray/observability:ray_event_recorder_interface", "//src/ray/pubsub:gcs_publisher", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:thread_checker", @@ -392,7 +392,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:raylet_client_interface", "//src/ray/rpc:raylet_client_pool", "//src/ray/util:logging", @@ -426,7 +426,8 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_interface", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", "//src/ray/util:logging", @@ -514,6 +515,7 @@ ray_cc_library( "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:grpc_server", "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:raylet_client_lib", diff --git a/src/ray/gcs/gcs_actor_manager.h b/src/ray/gcs/gcs_actor_manager.h index 947c52f107bd..b0ce0f10fb28 100644 --- a/src/ray/gcs/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_actor_manager.h @@ -35,7 +35,7 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/usage_stats_client.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_interface.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" #include "ray/util/thread_checker.h" diff --git a/src/ray/gcs/gcs_job_manager.h b/src/ray/gcs/gcs_job_manager.h index 9a6db62a494b..ea5916ee75c9 100644 --- a/src/ray/gcs/gcs_job_manager.h +++ b/src/ray/gcs/gcs_job_manager.h @@ -29,7 +29,6 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" #include "ray/util/thread_checker.h" diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index 95c4ec95fac1..f87db3befab6 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -38,6 +38,8 @@ #include "ray/observability/metric_constants.h" #include "ray/pubsub/publisher.h" #include "ray/rpc/raylet/raylet_client.h" +#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/stats.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index 79285f4d7abe..67144914451d 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -131,6 +131,7 @@ ray_cc_test( "//src/ray/gcs:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:core_worker_client_pool", "@com_google_googletest//:gtest_main", ], ) @@ -214,8 +215,10 @@ ray_cc_test( "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:fake_core_worker_client", "//src/ray/rpc:fake_raylet_client", + "//src/ray/rpc:raylet_client_pool", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -233,6 +236,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/gcs:gcs_actor", "//src/ray/gcs:gcs_actor_scheduler", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -258,6 +262,7 @@ ray_cc_test( "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", + "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest_main", ], ) @@ -423,7 +428,8 @@ ray_cc_test( "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", + "//src/ray/rpc:fake_core_worker_client", "//src/ray/util:event", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc index 0a154594859c..e55d052ae357 100644 --- a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -32,8 +32,8 @@ #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/event.h" namespace ray { @@ -80,7 +80,7 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { std::vector> actors; }; -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: explicit MockWorkerClient(instrumented_io_context &io_service) : io_service_(io_service) {} diff --git a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc index afaf73eeac39..88f4f2c1d0aa 100644 --- a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc @@ -27,6 +27,7 @@ #include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/worker/core_worker_client_pool.h" using json = nlohmann::json; diff --git a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc index cba05706eb42..3a7fc1a7c288 100644 --- a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc @@ -44,7 +44,7 @@ std::string GenerateLogDir() { class GcsNodeManagerExportAPITest : public ::testing::Test { public: GcsNodeManagerExportAPITest() { - auto raylet_client = std::make_shared(); + auto raylet_client = std::make_shared(); client_pool_ = std::make_unique( [raylet_client = std::move(raylet_client)](const rpc::Address &) { return raylet_client; diff --git a/src/ray/gcs/tests/gcs_actor_manager_test.cc b/src/ray/gcs/tests/gcs_actor_manager_test.cc index bcc7b74b5730..69615853c20b 100644 --- a/src/ray/gcs/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/tests/gcs_actor_manager_test.cc @@ -32,6 +32,7 @@ #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace gcs { @@ -76,7 +77,7 @@ class MockActorScheduler : public gcs::GcsActorSchedulerInterface { std::vector> actors; }; -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: explicit MockWorkerClient(instrumented_io_context &io_service) : io_service_(io_service) {} diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc index 90349b2072ab..1e2b08d42bf3 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc @@ -26,6 +26,7 @@ #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" using namespace ::testing; // NOLINT diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index 2ab61dc75b5d..0c9522168c14 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -31,6 +31,8 @@ #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" #include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/counter_map.h" @@ -84,10 +86,10 @@ class GcsActorSchedulerTest : public ::testing::Test { void SetUp() override { io_context_ = std::make_unique("GcsActorSchedulerTest"); - raylet_client_ = std::make_shared(); + raylet_client_ = std::make_shared(); raylet_client_pool_ = std::make_shared( [this](const rpc::Address &addr) { return raylet_client_; }); - worker_client_ = std::make_shared(); + worker_client_ = std::make_shared(); gcs_publisher_ = std::make_shared( std::make_unique()); store_client_ = std::make_shared(); @@ -206,8 +208,8 @@ class GcsActorSchedulerTest : public ::testing::Test { std::unique_ptr io_context_; std::shared_ptr store_client_; std::shared_ptr gcs_actor_table_; - std::shared_ptr raylet_client_; - std::shared_ptr worker_client_; + std::shared_ptr raylet_client_; + std::shared_ptr worker_client_; std::unique_ptr worker_client_pool_; std::shared_ptr gcs_node_manager_; observability::FakeRayEventRecorder fake_ray_event_recorder_; diff --git a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index 703280a8e931..788a5a177848 100644 --- a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -56,7 +56,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { protected: static constexpr char kRayletConfig[] = R"({"raylet_config":"this is a config"})"; instrumented_io_context io_service_; - std::shared_ptr raylet_client_; + std::shared_ptr raylet_client_; std::shared_ptr client_pool_; std::unique_ptr cluster_resource_manager_; std::shared_ptr gcs_resource_manager_; @@ -70,7 +70,7 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { std::unique_ptr worker_client_pool_; void SetUp() override { - raylet_client_ = std::make_shared(); + raylet_client_ = std::make_shared(); client_pool_ = std::make_unique( [this](const rpc::Address &) { return raylet_client_; }); cluster_resource_manager_ = std::make_unique(io_service_); diff --git a/src/ray/gcs/tests/gcs_job_manager_test.cc b/src/ray/gcs/tests/gcs_job_manager_test.cc index e2aae44e87d1..2c36743aa1e3 100644 --- a/src/ray/gcs/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/tests/gcs_job_manager_test.cc @@ -25,6 +25,7 @@ #include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" +#include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index ce6ee96944a0..8ea31fdf7644 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -31,7 +31,7 @@ namespace ray { class GcsNodeManagerTest : public ::testing::Test { public: GcsNodeManagerTest() { - auto raylet_client = std::make_shared(); + auto raylet_client = std::make_shared(); client_pool_ = std::make_unique( [raylet_client = std::move(raylet_client)](const rpc::Address &) { return raylet_client; diff --git a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index 8baf054e1b99..7aa22695a2cf 100644 --- a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -52,7 +52,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { io_service_.run(); })); for (int index = 0; index < 3; ++index) { - raylet_clients_.push_back(std::make_shared()); + raylet_clients_.push_back(std::make_shared()); } gcs_table_storage_ = std::make_unique(std::make_unique()); @@ -295,7 +295,7 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { instrumented_io_context io_service_; std::shared_ptr store_client_; - std::vector> raylet_clients_; + std::vector> raylet_clients_; std::shared_ptr gcs_resource_manager_; std::shared_ptr cluster_resource_scheduler_; std::shared_ptr gcs_node_manager_; diff --git a/src/ray/gcs/tests/gcs_server_test_util.h b/src/ray/gcs/tests/gcs_server_test_util.h index 63ff4300a6f0..e673472656ef 100644 --- a/src/ray/gcs/tests/gcs_server_test_util.h +++ b/src/ray/gcs/tests/gcs_server_test_util.h @@ -75,7 +75,7 @@ struct GcsServerMocker { absl::Mutex mutex_; }; - class MockRayletClient : public FakeRayletClient { + class MockRayletClient : public rpc::FakeRayletClient { public: void ReturnWorkerLease(int worker_port, const LeaseID &lease_id, diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index ab2afb3a2679..4462699a5641 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -68,7 +68,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/gcs_client", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "@com_google_absl//absl/container:flat_hash_map", ], ) diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 1d88c43fa20b..329fbfc3b3d3 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -18,7 +18,6 @@ #include #include #include -#include #include "ray/stats/metric_defs.h" diff --git a/src/ray/object_manager/ownership_object_directory.h b/src/ray/object_manager/ownership_object_directory.h index c1da711673cc..8f73e312cd80 100644 --- a/src/ray/object_manager/ownership_object_directory.h +++ b/src/ray/object_manager/ownership_object_directory.h @@ -25,8 +25,7 @@ #include "ray/common/status.h" #include "ray/gcs_client/gcs_client.h" #include "ray/object_manager/object_directory.h" -#include "ray/pubsub/subscriber.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/pubsub/subscriber_interface.h" #include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/metric.h" diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index aaf94398fe3a..0cb704637763 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -38,6 +38,7 @@ ray_cc_test( deps = [ "//src/ray/object_manager:ownership_object_directory", "//src/ray/pubsub:fake_subscriber", + "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index 6cb2b6fa504b..28d33c8ed7c4 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -28,13 +28,14 @@ #include "ray/gcs_client/accessor.h" #include "ray/gcs_client/gcs_client.h" #include "ray/pubsub/fake_subscriber.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { using ::testing::_; using ::testing::Return; -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: void UpdateObjectLocationBatch( rpc::UpdateObjectLocationBatchRequest &&request, diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 018dd31e9633..d3740769297a 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -89,12 +89,12 @@ ray_cc_library( "//src/ray/common:lease", "//src/ray/flatbuffers:node_manager_generated", "//src/ray/ipc:client_connection", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/rpc:core_worker_client", "//src/ray/util:process", - "@com_google_absl//absl/memory", "@com_google_absl//absl/time", - "@com_google_googletest//:gtest_prod", ], ) @@ -163,12 +163,10 @@ ray_cc_library( ":worker_pool", "//src/ray/common:id", "//src/ray/common:ray_object", - "//src/ray/gcs_client", "//src/ray/object_manager:object_directory", - "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/util:time", ], ) @@ -238,7 +236,7 @@ ray_cc_library( "//src/ray/object_manager/plasma:plasma_client", "//src/ray/pubsub:subscriber", "//src/ray/raylet/scheduling:scheduler", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:node_manager_server", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", @@ -290,6 +288,8 @@ ray_cc_binary( "//src/ray/gcs_client", "//src/ray/object_manager:ownership_object_directory", "//src/ray/raylet/scheduling:cluster_lease_manager", + "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:metrics_agent_client", "//src/ray/rpc:raylet_client_lib", "//src/ray/rpc:raylet_client_pool", diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index 25597aeda64b..407afbc2621b 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -23,8 +23,6 @@ #include "ray/common/id.h" #include "ray/common/ray_object.h" -#include "ray/gcs_client/accessor.h" -#include "ray/object_manager/common.h" #include "ray/object_manager/object_directory.h" #include "ray/pubsub/subscriber_interface.h" #include "ray/raylet/local_object_manager_interface.h" diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 99d5530f9fb0..f1bca8d6fc5a 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -40,6 +40,8 @@ #include "ray/raylet/raylet.h" #include "ray/rpc/object_manager/object_manager_client.h" #include "ray/rpc/raylet/raylet_client.h" +#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/stats.h" #include "ray/stats/tag_defs.h" #include "ray/util/cmd_line_utils.h" diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index f537b139942a..979a01ba3860 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -45,6 +45,7 @@ #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" +#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/metric_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index ada035a416c9..419f9a4fd8af 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -32,6 +32,7 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/raylet:worker_pool", + "//src/ray/rpc:fake_core_worker_client", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -56,7 +57,8 @@ ray_cc_test( "//src/ray/pubsub:subscriber", "//src/ray/raylet:local_object_manager", "//src/ray/raylet:worker_pool", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", + "//src/ray/rpc:fake_core_worker_client", "//src/ray/rpc:grpc_client", "@com_google_googletest//:gtest_main", ], @@ -191,7 +193,9 @@ ray_cc_test( "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", "//src/ray/raylet/scheduling:cluster_lease_manager", + "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:fake_raylet_client", + "//src/ray/rpc:utils", "//src/ray/util:macros", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index 294b25cd40e4..fc813cb601c7 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -34,8 +34,8 @@ #include "ray/raylet/tests/util.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/grpc_client.h" -#include "ray/rpc/worker/core_worker_client.h" #include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/rpc/worker/fake_core_worker_client.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" @@ -104,7 +104,7 @@ class MockSubscriber : public pubsub::SubscriberInterface { callbacks; }; -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: void UpdateObjectLocationBatch( rpc::UpdateObjectLocationBatchRequest &&request, @@ -133,7 +133,7 @@ class MockWorkerClient : public rpc::CoreWorkerClientInterface { update_object_location_batch_callbacks; }; -class MockIOWorkerClient : public rpc::CoreWorkerClientInterface { +class MockIOWorkerClient : public rpc::FakeCoreWorkerClient { public: void SpillObjects( const rpc::SpillObjectsRequest &request, diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index 082686ef2f45..e8ed64f96611 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -40,6 +40,8 @@ #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/tests/util.h" #include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/rpc/utils.h" +#include "ray/rpc/worker/core_worker_client_pool.h" namespace ray::raylet { using ::testing::_; @@ -297,7 +299,7 @@ class NodeManagerTest : public ::testing::Test { return std::make_shared(); }), raylet_client_pool_( - [](const auto &) { return std::make_shared(); }) { + [](const auto &) { return std::make_shared(); }) { RayConfig::instance().initialize(R"({ "raylet_liveness_self_check_interval_ms": 100 })"); diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index b5d24485a7bf..8e8b5171521e 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -33,6 +33,7 @@ #include "ray/common/constants.h" #include "ray/common/lease/lease_spec.h" #include "ray/raylet/runtime_env_agent_client.h" +#include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/raii.h" @@ -54,7 +55,7 @@ constexpr std::string_view kBadRuntimeEnvErrorMsg = "bad runtime env"; std::vector LANGUAGES = {Language::PYTHON, Language::JAVA}; -class MockWorkerClient : public rpc::CoreWorkerClientInterface { +class MockWorkerClient : public rpc::FakeCoreWorkerClient { public: MockWorkerClient() = default; diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index b4f908e114e6..ec3fe8167669 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -20,6 +20,7 @@ #include #include "ray/flatbuffers/node_manager_generated.h" +#include "ray/rpc/worker/core_worker_client.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index d7466dac569e..1afed3e5e9f3 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -18,17 +18,12 @@ #include #include -#include "absl/memory/memory.h" -#include "absl/time/clock.h" #include "absl/time/time.h" -#include "gtest/gtest_prod.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" -#include "ray/common/scheduling/resource_set.h" -#include "ray/common/scheduling/scheduling_ids.h" #include "ray/ipc/client_connection.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_interface.h" #include "ray/util/process.h" namespace ray { diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index f78e59c300da..2207fd56c024 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -193,31 +193,67 @@ ray_cc_library( ], ) +ray_cc_library( + name = "core_worker_client_interface", + hdrs = [ + "worker/core_worker_client_interface.h", + ], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/pubsub:subscriber_interface", + ], +) + ray_cc_library( name = "core_worker_client", srcs = [ "worker/core_worker_client.cc", - "worker/core_worker_client_pool.cc", ], hdrs = [ "worker/core_worker_client.h", + ], + deps = [ + ":core_worker_client_interface", + ":retryable_grpc_client", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/util:logging", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "core_worker_client_pool", + srcs = [ + "worker/core_worker_client_pool.cc", + ], + hdrs = [ "worker/core_worker_client_pool.h", ], deps = [ - ":raylet_client_interface", + ":core_worker_client_interface", ":raylet_client_pool", "//src/ray/common:id", "//src/ray/common:status", "//src/ray/gcs_client", - "//src/ray/protobuf:core_worker_cc_grpc", - "//src/ray/pubsub:subscriber", "//src/ray/util:logging", "//src/ray/util:network_util", - "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", ], ) +ray_cc_library( + name = "utils", + hdrs = ["utils.h"], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/protobuf:common_cc_proto", + "@com_google_protobuf//:protobuf", + ], +) + ray_cc_library( name = "fake_core_worker_client", hdrs = [ @@ -225,7 +261,7 @@ ray_cc_library( ], visibility = ["//visibility:public"], deps = [ - ":core_worker_client", + ":core_worker_client_interface", "@com_google_absl//absl/synchronization", ], ) diff --git a/src/ray/rpc/raylet/fake_raylet_client.h b/src/ray/rpc/raylet/fake_raylet_client.h index 27ff84c05ff6..c073540c1b78 100644 --- a/src/ray/rpc/raylet/fake_raylet_client.h +++ b/src/ray/rpc/raylet/fake_raylet_client.h @@ -29,21 +29,20 @@ #include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { +namespace rpc { class FakeRayletClient : public RayletClientInterface { public: - void PinObjectIDs( - const rpc::Address &caller_address, - const std::vector &object_ids, - const ObjectID &generator_id, - const rpc::ClientCallback &callback) override {} - - void RequestWorkerLease( - const rpc::LeaseSpec &lease_spec, - bool grant_or_reject, - const rpc::ClientCallback &callback, - const int64_t backlog_size = -1, - const bool is_selected_based_on_locality = false) override { + void PinObjectIDs(const Address &caller_address, + const std::vector &object_ids, + const ObjectID &generator_id, + const ClientCallback &callback) override {} + + void RequestWorkerLease(const LeaseSpec &lease_spec, + bool grant_or_reject, + const ClientCallback &callback, + const int64_t backlog_size = -1, + const bool is_selected_based_on_locality = false) override { num_workers_requested += 1; callbacks.push_back(callback); } @@ -60,20 +59,19 @@ class FakeRayletClient : public RayletClientInterface { } } - void PrestartWorkers( - const rpc::PrestartWorkersRequest &request, - const rpc::ClientCallback &callback) override {} + void PrestartWorkers(const PrestartWorkersRequest &request, + const ClientCallback &callback) override {} void ReleaseUnusedActorWorkers( const std::vector &workers_in_use, - const rpc::ClientCallback &callback) override { + const ClientCallback &callback) override { num_release_unused_workers += 1; release_callbacks.push_back(callback); } void CancelWorkerLease( const LeaseID &lease_id, - const rpc::ClientCallback &callback) override { + const ClientCallback &callback) override { num_leases_canceled += 1; cancel_callbacks.push_back(callback); } @@ -89,7 +87,7 @@ class FakeRayletClient : public RayletClientInterface { const NodeID &retry_at_node_id, Status status = Status::OK(), bool rejected = false) { - rpc::RequestWorkerLeaseReply reply; + RequestWorkerLeaseReply reply; if (!retry_at_node_id.IsNil()) { reply.mutable_retry_at_raylet_address()->set_ip_address(address); reply.mutable_retry_at_raylet_address()->set_port(port); @@ -122,7 +120,7 @@ class FakeRayletClient : public RayletClientInterface { } bool ReplyCancelWorkerLease(bool success = true) { - rpc::CancelWorkerLeaseReply reply; + CancelWorkerLeaseReply reply; reply.set_success(success); if (cancel_callbacks.size() == 0) { return false; @@ -135,7 +133,7 @@ class FakeRayletClient : public RayletClientInterface { } bool ReplyReleaseUnusedActorWorkers() { - rpc::ReleaseUnusedActorWorkersReply reply; + ReleaseUnusedActorWorkersReply reply; if (release_callbacks.size() == 0) { return false; } else { @@ -150,7 +148,7 @@ class FakeRayletClient : public RayletClientInterface { if (drain_raylet_callbacks.size() == 0) { return false; } else { - rpc::DrainRayletReply reply; + DrainRayletReply reply; reply.set_is_accepted(true); auto callback = drain_raylet_callbacks.front(); callback(Status::OK(), std::move(reply)); @@ -161,34 +159,34 @@ class FakeRayletClient : public RayletClientInterface { void PrepareBundleResources( const std::vector> &bundle_specs, - const rpc::ClientCallback &callback) override { + const ClientCallback &callback) override { num_lease_requested += 1; lease_callbacks.push_back(callback); } void CommitBundleResources( const std::vector> &bundle_specs, - const rpc::ClientCallback &callback) override { + const ClientCallback &callback) override { num_commit_requested += 1; commit_callbacks.push_back(callback); } void CancelResourceReserve( const BundleSpecification &bundle_spec, - const rpc::ClientCallback &callback) override { + const ClientCallback &callback) override { num_return_requested += 1; return_callbacks.push_back(callback); } void ReleaseUnusedBundles( - const std::vector &bundles_in_use, - const rpc::ClientCallback &callback) override { + const std::vector &bundles_in_use, + const ClientCallback &callback) override { ++num_release_unused_bundles_requested; } bool GrantPrepareBundleResources(bool success = true, const Status &status = Status::OK()) { - rpc::PrepareBundleResourcesReply reply; + PrepareBundleResourcesReply reply; reply.set_success(success); if (lease_callbacks.size() == 0) { return false; @@ -201,7 +199,7 @@ class FakeRayletClient : public RayletClientInterface { } bool GrantCommitBundleResources(const Status &status = Status::OK()) { - rpc::CommitBundleResourcesReply reply; + CommitBundleResourcesReply reply; if (commit_callbacks.size() == 0) { return false; } else { @@ -214,7 +212,7 @@ class FakeRayletClient : public RayletClientInterface { bool GrantCancelResourceReserve(bool success = true) { Status status = Status::OK(); - rpc::CancelResourceReserveReply reply; + CancelResourceReserveReply reply; if (return_callbacks.size() == 0) { return false; } else { @@ -227,16 +225,15 @@ class FakeRayletClient : public RayletClientInterface { void ReportWorkerBacklog( const WorkerID &worker_id, - const std::vector &backlog_reports) override {} + const std::vector &backlog_reports) override {} - void GetResourceLoad( - const rpc::ClientCallback &callback) override {} + void GetResourceLoad(const ClientCallback &callback) override {} void RegisterMutableObjectReader( const ObjectID &writer_object_id, int64_t num_readers, const ObjectID &reader_object_id, - const rpc::ClientCallback &callback) override {} + const ClientCallback &callback) override {} void PushMutableObject( const ObjectID &writer_object_id, @@ -244,52 +241,47 @@ class FakeRayletClient : public RayletClientInterface { uint64_t metadata_size, void *data, void *metadata, - const rpc::ClientCallback &callback) override {} + const ClientCallback &callback) override {} void GetWorkerFailureCause( const LeaseID &lease_id, - const rpc::ClientCallback &callback) override { - rpc::GetWorkerFailureCauseReply reply; + const ClientCallback &callback) override { + GetWorkerFailureCauseReply reply; callback(Status::OK(), std::move(reply)); num_get_task_failure_causes += 1; } - void GetSystemConfig( - const rpc::ClientCallback &callback) override {} + void GetSystemConfig(const ClientCallback &callback) override {} - void NotifyGCSRestart( - const rpc::ClientCallback &callback) override {} + void NotifyGCSRestart(const ClientCallback &callback) override {} - void ShutdownRaylet( - const NodeID &node_id, - bool graceful, - const rpc::ClientCallback &callback) override {} + void ShutdownRaylet(const NodeID &node_id, + bool graceful, + const ClientCallback &callback) override {} - void DrainRaylet(const rpc::autoscaler::DrainNodeReason &reason, + void DrainRaylet(const autoscaler::DrainNodeReason &reason, const std::string &reason_message, int64_t deadline_timestamp_ms, - const rpc::ClientCallback &callback) override { - rpc::DrainRayletReply reply; + const ClientCallback &callback) override { + DrainRayletReply reply; reply.set_is_accepted(true); drain_raylet_callbacks.push_back(callback); } void CancelLeasesWithResourceShapes( const std::vector> &resource_shapes, - const rpc::ClientCallback &callback) - override {} + const ClientCallback &callback) override {} void IsLocalWorkerDead( const WorkerID &worker_id, - const rpc::ClientCallback &callback) override {} + const ClientCallback &callback) override {} std::shared_ptr GetChannel() const override { return nullptr; } - void GetNodeStats( - const rpc::GetNodeStatsRequest &request, - const rpc::ClientCallback &callback) override {} + void GetNodeStats(const GetNodeStatsRequest &request, + const ClientCallback &callback) override {} - void GlobalGC(const rpc::ClientCallback &callback) override {} + void GlobalGC(const ClientCallback &callback) override {} int64_t GetPinsInFlight() const override { return 0; } @@ -300,19 +292,19 @@ class FakeRayletClient : public RayletClientInterface { int num_release_unused_workers = 0; int num_get_task_failure_causes = 0; NodeID node_id_ = NodeID::FromRandom(); - std::list> drain_raylet_callbacks = {}; - std::list> callbacks = {}; - std::list> cancel_callbacks = {}; - std::list> release_callbacks = - {}; + std::list> drain_raylet_callbacks = {}; + std::list> callbacks = {}; + std::list> cancel_callbacks = {}; + std::list> release_callbacks = {}; int num_lease_requested = 0; int num_return_requested = 0; int num_commit_requested = 0; int num_release_unused_bundles_requested = 0; - std::list> lease_callbacks = {}; - std::list> commit_callbacks = {}; - std::list> return_callbacks = {}; + std::list> lease_callbacks = {}; + std::list> commit_callbacks = {}; + std::list> return_callbacks = {}; }; +} // namespace rpc } // namespace ray diff --git a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc index 6cd9103eb5d1..d3d30c4c46b8 100644 --- a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc +++ b/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc @@ -41,8 +41,8 @@ class MockRayletClient : public FakeRayletClient { namespace { -rpc::Address CreateRandomAddress(const std::string &addr) { - rpc::Address address; +Address CreateRandomAddress(const std::string &addr) { + Address address; address.set_ip_address(addr); address.set_node_id(NodeID::FromRandom().Binary()); address.set_worker_id(WorkerID::FromRandom().Binary()); @@ -59,11 +59,11 @@ class MockGcsClientNodeAccessor : public gcs::NodeInfoAccessor { bool IsSubscribedToNodeChange() const override { return is_subscribed_to_node_change_; } - MOCK_METHOD(const rpc::GcsNodeInfo *, Get, (const NodeID &, bool), (const, override)); + MOCK_METHOD(const GcsNodeInfo *, Get, (const NodeID &, bool), (const, override)); MOCK_METHOD(void, AsyncGetAll, - (const gcs::MultiItemCallback &, + (const gcs::MultiItemCallback &, int64_t, const std::vector &), (override)); @@ -90,7 +90,7 @@ class DefaultUnavailableTimeoutCallbackTest : public ::testing::TestWithParam([this](const rpc::Address &addr) { + std::make_unique([this](const Address &addr) { return std::make_shared( RayletClientPool::GetDefaultUnavailableTimeoutCallback( &this->gcs_client_, this->raylet_client_pool_.get(), addr)); @@ -112,13 +112,12 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { // had to discard to keep its cache size in check, should disconnect. auto &mock_node_accessor = gcs_client_.MockNodeAccessor(); - auto invoke_with_node_info_vector = [](std::vector node_info_vector) { - return Invoke( - [node_info_vector](const gcs::MultiItemCallback &callback, - int64_t, - const std::vector &) { - callback(Status::OK(), node_info_vector); - }); + auto invoke_with_node_info_vector = [](std::vector node_info_vector) { + return Invoke([node_info_vector](const gcs::MultiItemCallback &callback, + int64_t, + const std::vector &) { + callback(Status::OK(), node_info_vector); + }); }; auto raylet_client_1_address = CreateRandomAddress("1"); @@ -133,10 +132,10 @@ TEST_P(DefaultUnavailableTimeoutCallbackTest, NodeDeath) { raylet_client_pool_->GetOrConnectByAddress(raylet_client_2_address).get()); ASSERT_EQ(raylet_client_pool_->GetByID(raylet_client_2_node_id).get(), raylet_client_2); - rpc::GcsNodeInfo node_info_alive; - node_info_alive.set_state(rpc::GcsNodeInfo::ALIVE); - rpc::GcsNodeInfo node_info_dead; - node_info_dead.set_state(rpc::GcsNodeInfo::DEAD); + GcsNodeInfo node_info_alive; + node_info_alive.set_state(GcsNodeInfo::ALIVE); + GcsNodeInfo node_info_dead; + node_info_dead.set_state(GcsNodeInfo::DEAD); if (is_subscribed_to_node_change_) { EXPECT_CALL(mock_node_accessor, Get(raylet_client_1_node_id, /*filter_dead_nodes=*/false)) diff --git a/src/ray/rpc/tests/BUILD.bazel b/src/ray/rpc/tests/BUILD.bazel index d2803b88c651..749b257dbf2b 100644 --- a/src/ray/rpc/tests/BUILD.bazel +++ b/src/ray/rpc/tests/BUILD.bazel @@ -37,7 +37,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//:ray_mock", - "//src/ray/rpc:core_worker_client", + "//src/ray/rpc:core_worker_client_pool", + "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/rpc/tests/core_worker_client_pool_test.cc b/src/ray/rpc/tests/core_worker_client_pool_test.cc index f57eb3b29430..3697671db68f 100644 --- a/src/ray/rpc/tests/core_worker_client_pool_test.cc +++ b/src/ray/rpc/tests/core_worker_client_pool_test.cc @@ -14,16 +14,15 @@ #include "ray/rpc/worker/core_worker_client_pool.h" -#include - #include #include #include #include #include "gmock/gmock.h" +#include "gtest/gtest.h" #include "mock/ray/raylet_client/raylet_client.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace rpc { @@ -32,7 +31,7 @@ using ::testing::_; using ::testing::Invoke; using ::testing::Return; -class MockCoreWorkerClient : public CoreWorkerClientInterface { +class MockCoreWorkerClient : public rpc::FakeCoreWorkerClient { public: explicit MockCoreWorkerClient( std::function unavailable_timeout_callback = nullptr) diff --git a/src/ray/rpc/utils.h b/src/ray/rpc/utils.h new file mode 100644 index 000000000000..ed0b821950a6 --- /dev/null +++ b/src/ray/rpc/utils.h @@ -0,0 +1,41 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "google/protobuf/util/message_differencer.h" +#include "src/ray/protobuf/common.pb.h" + +namespace std { +template <> +struct hash { + size_t operator()(const ray::rpc::Address &addr) const { + size_t hash_value = std::hash()(addr.port()); + hash_value ^= std::hash()(addr.ip_address()); + hash_value ^= std::hash()(addr.worker_id()); + hash_value ^= std::hash()(addr.node_id()); + return hash_value; + } +}; +} // namespace std + +namespace ray { +namespace rpc { +inline bool operator==(const Address &lhs, const Address &rhs) { + return google::protobuf::util::MessageDifferencer::Equivalent(lhs, rhs); +} +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/worker/core_worker_client.cc b/src/ray/rpc/worker/core_worker_client.cc index 6863511dfe05..db1c00e81e32 100644 --- a/src/ray/rpc/worker/core_worker_client.cc +++ b/src/ray/rpc/worker/core_worker_client.cc @@ -18,6 +18,8 @@ #include #include +#include "ray/util/logging.h" + namespace ray { namespace rpc { diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/rpc/worker/core_worker_client.h index 49bea48f4750..deed307200c4 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/rpc/worker/core_worker_client.h @@ -14,38 +14,19 @@ #pragma once -#include - #include -#include #include -#include +#include #include -#include #include #include "absl/base/thread_annotations.h" -#include "absl/hash/hash.h" -#include "ray/common/status.h" -#include "ray/pubsub/subscriber.h" +#include "absl/synchronization/mutex.h" #include "ray/rpc/retryable_grpc_client.h" -#include "ray/util/logging.h" +#include "ray/rpc/worker/core_worker_client_interface.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" -namespace std { -template <> -struct hash { - size_t operator()(const ray::rpc::Address &addr) const { - size_t hash_value = std::hash()(addr.port()); - hash_value ^= std::hash()(addr.ip_address()); - hash_value ^= std::hash()(addr.worker_id()); - hash_value ^= std::hash()(addr.node_id()); - return hash_value; - } -}; -} // namespace std - namespace ray { namespace rpc { @@ -55,148 +36,6 @@ inline constexpr int64_t kMaxBytesInFlight = 16L * 1024 * 1024; /// The base size in bytes per request. inline constexpr int64_t kBaseRequestSize = 1024; -// Shared between actor and task submitters. -/* class CoreWorkerClientInterface; */ - -inline bool operator==(const rpc::Address &lhs, const rpc::Address &rhs) { - return google::protobuf::util::MessageDifferencer::Equivalent(lhs, rhs); -} - -/// Abstract client interface for testing. -class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { - public: - virtual const rpc::Address &Addr() const { - static const rpc::Address empty_addr_; - return empty_addr_; - } - - /// Returns true if the grpc channel is idle and there are no pending requests - /// after at least one RPC call is made. - virtual bool IsIdleAfterRPCs() const { return false; } - - /// Push an actor task directly from worker to worker. - /// - /// \param[in] request The request message. - /// \param[in] skip_queue Whether to skip the task queue. This will send the - /// task for execution immediately. - /// \param[in] callback The callback function that handles reply. - /// \return if the rpc call succeeds - virtual void PushActorTask(std::unique_ptr request, - bool skip_queue, - ClientCallback &&callback) {} - - /// Similar to PushActorTask, but sets no ordering constraint. This is used to - /// push non-actor tasks directly to a worker. - virtual void PushNormalTask(std::unique_ptr request, - const ClientCallback &callback) {} - - /// Get the number of pending tasks for this worker. - /// - /// \param[in] request The request message. - /// \param[in] callback The callback function that handles reply. - /// \return if the rpc call succeeds - virtual void NumPendingTasks(std::unique_ptr request, - const ClientCallback &callback, - int64_t timeout_ms = -1) {} - - /// Notify a wait has completed for actor call arguments. - /// - /// \param[in] request The request message. - /// \param[in] callback The callback function that handles reply. - /// \return if the rpc call succeeds - virtual void ActorCallArgWaitComplete( - const ActorCallArgWaitCompleteRequest &request, - const ClientCallback &callback) {} - - /// Ask the owner of an object about the object's current status. - virtual void GetObjectStatus(GetObjectStatusRequest &&request, - const ClientCallback &callback) {} - - /// Ask the actor's owner to reply when the actor has no references. - virtual void WaitForActorRefDeleted( - const WaitForActorRefDeletedRequest &request, - const ClientCallback &callback) {} - - /// Send a long polling request to a core worker for pubsub operations. - void PubsubLongPolling( - PubsubLongPollingRequest &&request, - const ClientCallback &callback) override {} - - /// Send a pubsub command batch request to a core worker for pubsub operations. - void PubsubCommandBatch( - PubsubCommandBatchRequest &&request, - const ClientCallback &callback) override {} - - virtual void UpdateObjectLocationBatch( - UpdateObjectLocationBatchRequest &&request, - const ClientCallback &callback) {} - - virtual void GetObjectLocationsOwner( - const GetObjectLocationsOwnerRequest &request, - const ClientCallback &callback) {} - - virtual void ReportGeneratorItemReturns( - ReportGeneratorItemReturnsRequest &&request, - const ClientCallback &callback) {} - - /// Tell this actor to exit immediately. - virtual void KillActor(const KillActorRequest &request, - const ClientCallback &callback) {} - - virtual void CancelTask(const CancelTaskRequest &request, - const ClientCallback &callback) {} - - virtual void RemoteCancelTask(const RemoteCancelTaskRequest &request, - const ClientCallback &callback) {} - - virtual void RegisterMutableObjectReader( - const RegisterMutableObjectReaderRequest &request, - const ClientCallback &callback) {} - - virtual void GetCoreWorkerStats( - const GetCoreWorkerStatsRequest &request, - const ClientCallback &callback) {} - - virtual void LocalGC(const LocalGCRequest &request, - const ClientCallback &callback) {} - - virtual void DeleteObjects(const DeleteObjectsRequest &request, - const ClientCallback &callback) {} - - virtual void SpillObjects(const SpillObjectsRequest &request, - const ClientCallback &callback) {} - - virtual void RestoreSpilledObjects( - const RestoreSpilledObjectsRequest &request, - const ClientCallback &callback) {} - - virtual void DeleteSpilledObjects( - const DeleteSpilledObjectsRequest &request, - const ClientCallback &callback) {} - - virtual void PlasmaObjectReady(const PlasmaObjectReadyRequest &request, - const ClientCallback &callback) { - } - - virtual void Exit(const ExitRequest &request, - const ClientCallback &callback) {} - - virtual void AssignObjectOwner(const AssignObjectOwnerRequest &request, - const ClientCallback &callback) { - } - - virtual void RayletNotifyGCSRestart( - const RayletNotifyGCSRestartRequest &request, - const ClientCallback &callback) {} - - virtual void FreeActorObject(const FreeActorObjectRequest &request, - const ClientCallback &callback) {} - - virtual std::string DebugString() const { return ""; } - - virtual ~CoreWorkerClientInterface() = default; -}; - /// Client used for communicating with a remote worker server. class CoreWorkerClient : public std::enable_shared_from_this, public CoreWorkerClientInterface { @@ -405,8 +244,5 @@ class CoreWorkerClient : public std::enable_shared_from_this, std::optional max_finished_seq_no_ ABSL_GUARDED_BY(mutex_); }; -using CoreWorkerClientFactoryFn = - std::function(const rpc::Address &)>; - } // namespace rpc } // namespace ray diff --git a/src/ray/rpc/worker/core_worker_client_interface.h b/src/ray/rpc/worker/core_worker_client_interface.h new file mode 100644 index 000000000000..3f07bdd8ab34 --- /dev/null +++ b/src/ray/rpc/worker/core_worker_client_interface.h @@ -0,0 +1,132 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "ray/pubsub/subscriber_interface.h" +#include "src/ray/protobuf/common.pb.h" +#include "src/ray/protobuf/core_worker.pb.h" +#include "src/ray/protobuf/pubsub.pb.h" + +namespace ray { +namespace rpc { + +template +using ClientCallback = std::function; + +class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { + public: + virtual const rpc::Address &Addr() const = 0; + + /// Returns true if the grpc channel is idle and there are no pending requests + /// after at least one RPC call is made. + virtual bool IsIdleAfterRPCs() const = 0; + + // Actor / task submission RPCs + virtual void PushActorTask(std::unique_ptr request, + bool skip_queue, + ClientCallback &&callback) = 0; + + virtual void PushNormalTask(std::unique_ptr request, + const ClientCallback &callback) = 0; + + virtual void NumPendingTasks(std::unique_ptr request, + const ClientCallback &callback, + int64_t timeout_ms = -1) = 0; + + virtual void ActorCallArgWaitComplete( + const ActorCallArgWaitCompleteRequest &request, + const ClientCallback &callback) = 0; + + virtual void GetObjectStatus(GetObjectStatusRequest &&request, + const ClientCallback &callback) = 0; + + virtual void WaitForActorRefDeleted( + const WaitForActorRefDeletedRequest &request, + const ClientCallback &callback) = 0; + + // Object location / ownership RPCs + virtual void UpdateObjectLocationBatch( + UpdateObjectLocationBatchRequest &&request, + const ClientCallback &callback) = 0; + + virtual void GetObjectLocationsOwner( + const GetObjectLocationsOwnerRequest &request, + const ClientCallback &callback) = 0; + + virtual void ReportGeneratorItemReturns( + ReportGeneratorItemReturnsRequest &&request, + const ClientCallback &callback) = 0; + + // Lifecycle / control RPCs + virtual void KillActor(const KillActorRequest &request, + const ClientCallback &callback) = 0; + + virtual void CancelTask(const CancelTaskRequest &request, + const ClientCallback &callback) = 0; + + virtual void RemoteCancelTask( + const RemoteCancelTaskRequest &request, + const ClientCallback &callback) = 0; + + virtual void RegisterMutableObjectReader( + const RegisterMutableObjectReaderRequest &request, + const ClientCallback &callback) = 0; + + virtual void GetCoreWorkerStats( + const GetCoreWorkerStatsRequest &request, + const ClientCallback &callback) = 0; + + virtual void LocalGC(const LocalGCRequest &request, + const ClientCallback &callback) = 0; + + virtual void DeleteObjects(const DeleteObjectsRequest &request, + const ClientCallback &callback) = 0; + + virtual void SpillObjects(const SpillObjectsRequest &request, + const ClientCallback &callback) = 0; + + virtual void RestoreSpilledObjects( + const RestoreSpilledObjectsRequest &request, + const ClientCallback &callback) = 0; + + virtual void DeleteSpilledObjects( + const DeleteSpilledObjectsRequest &request, + const ClientCallback &callback) = 0; + + virtual void PlasmaObjectReady( + const PlasmaObjectReadyRequest &request, + const ClientCallback &callback) = 0; + + virtual void RayletNotifyGCSRestart( + const RayletNotifyGCSRestartRequest &request, + const ClientCallback &callback) = 0; + + virtual void Exit(const ExitRequest &request, + const ClientCallback &callback) = 0; + + virtual void AssignObjectOwner( + const AssignObjectOwnerRequest &request, + const ClientCallback &callback) = 0; + + virtual void FreeActorObject(const FreeActorObjectRequest &request, + const ClientCallback &callback) = 0; + + virtual std::string DebugString() const = 0; +}; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/rpc/worker/core_worker_client_pool.cc index 33a1c673ccf5..de6ca3e9719d 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/rpc/worker/core_worker_client_pool.cc @@ -15,10 +15,11 @@ #include "ray/rpc/worker/core_worker_client_pool.h" #include -#include #include #include +#include "ray/common/status.h" +#include "ray/util/logging.h" #include "ray/util/network_util.h" namespace ray { diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/rpc/worker/core_worker_client_pool.h index 4e33fd8ca2c4..de0f43ed158b 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/rpc/worker/core_worker_client_pool.h @@ -16,7 +16,6 @@ #include #include -#include #include #include "absl/base/thread_annotations.h" @@ -26,11 +25,12 @@ #include "ray/gcs_client/gcs_client.h" #include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/rpc/worker/core_worker_client_interface.h" namespace ray { namespace rpc { - +using CoreWorkerClientFactoryFn = + std::function(const rpc::Address &)>; class CoreWorkerClientPool { public: CoreWorkerClientPool() = delete; diff --git a/src/ray/rpc/worker/fake_core_worker_client.h b/src/ray/rpc/worker/fake_core_worker_client.h index 64ad9cd91b80..cf8bbb76584b 100644 --- a/src/ray/rpc/worker/fake_core_worker_client.h +++ b/src/ray/rpc/worker/fake_core_worker_client.h @@ -15,23 +15,130 @@ #pragma once #include +#include +#include #include #include "absl/synchronization/mutex.h" -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/common/status.h" +#include "ray/rpc/worker/core_worker_client_interface.h" +#include "src/ray/protobuf/core_worker.pb.h" +#include "src/ray/protobuf/pubsub.pb.h" namespace ray { +namespace rpc { -class FakeCoreWorkerClient : public rpc::CoreWorkerClientInterface { +class FakeCoreWorkerClient : public CoreWorkerClientInterface { public: - void PushNormalTask(std::unique_ptr request, - const rpc::ClientCallback &callback) override { + const Address &Addr() const override { + static Address addr; + return addr; + } + + bool IsIdleAfterRPCs() const override { return true; } + + void PushActorTask(std::unique_ptr request, + bool skip_queue, + ClientCallback &&callback) override {} + + void PushNormalTask(std::unique_ptr request, + const ClientCallback &callback) override { absl::MutexLock lock(&mutex_); callbacks_.push_back(callback); } + void NumPendingTasks(std::unique_ptr request, + const ClientCallback &callback, + int64_t timeout_ms = -1) override {} + + void ActorCallArgWaitComplete( + const ActorCallArgWaitCompleteRequest &request, + const ClientCallback &callback) override {} + + void GetObjectStatus(GetObjectStatusRequest &&request, + const ClientCallback &callback) override {} + + void WaitForActorRefDeleted( + const WaitForActorRefDeletedRequest &request, + const ClientCallback &callback) override {} + + void UpdateObjectLocationBatch( + UpdateObjectLocationBatchRequest &&request, + const ClientCallback &callback) override {} + + void GetObjectLocationsOwner( + const GetObjectLocationsOwnerRequest &request, + const ClientCallback &callback) override {} + + void ReportGeneratorItemReturns( + ReportGeneratorItemReturnsRequest &&request, + const ClientCallback &callback) override {} + + void KillActor(const KillActorRequest &request, + const ClientCallback &callback) override {} + + void CancelTask(const CancelTaskRequest &request, + const ClientCallback &callback) override {} + + void RemoteCancelTask(const RemoteCancelTaskRequest &request, + const ClientCallback &callback) override {} + + void RegisterMutableObjectReader( + const RegisterMutableObjectReaderRequest &request, + const ClientCallback &callback) override {} + + void GetCoreWorkerStats( + const GetCoreWorkerStatsRequest &request, + const ClientCallback &callback) override {} + + void LocalGC(const LocalGCRequest &request, + const ClientCallback &callback) override {} + + void DeleteObjects(const DeleteObjectsRequest &request, + const ClientCallback &callback) override {} + + void SpillObjects(const SpillObjectsRequest &request, + const ClientCallback &callback) override {} + + void RestoreSpilledObjects( + const RestoreSpilledObjectsRequest &request, + const ClientCallback &callback) override {} + + void DeleteSpilledObjects( + const DeleteSpilledObjectsRequest &request, + const ClientCallback &callback) override {} + + void PlasmaObjectReady( + const PlasmaObjectReadyRequest &request, + const ClientCallback &callback) override {} + + void RayletNotifyGCSRestart( + const RayletNotifyGCSRestartRequest &request, + const ClientCallback &callback) override {} + + void Exit(const ExitRequest &request, + const ClientCallback &callback) override {} + + void AssignObjectOwner( + const AssignObjectOwnerRequest &request, + const ClientCallback &callback) override {} + + void FreeActorObject(const FreeActorObjectRequest &request, + const ClientCallback &callback) override {} + + // SubscriberClientInterface methods + void PubsubLongPolling( + PubsubLongPollingRequest &&request, + const ClientCallback &callback) override {} + + void PubsubCommandBatch( + PubsubCommandBatchRequest &&request, + const ClientCallback &callback) override {} + + std::string DebugString() const override { return "FakeCoreWorkerClient"; } + bool ReplyPushTask(Status status = Status::OK(), bool exit = false) { - rpc::ClientCallback callback = nullptr; + ClientCallback callback = nullptr; { absl::MutexLock lock(&mutex_); if (callbacks_.size() == 0) { @@ -41,7 +148,7 @@ class FakeCoreWorkerClient : public rpc::CoreWorkerClientInterface { callbacks_.pop_front(); } // call the callback without the lock to avoid deadlock. - auto reply = rpc::PushTaskReply(); + auto reply = PushTaskReply(); if (exit) { reply.set_worker_exiting(true); } @@ -54,8 +161,9 @@ class FakeCoreWorkerClient : public rpc::CoreWorkerClientInterface { return callbacks_.size(); } - std::list> callbacks_ ABSL_GUARDED_BY(mutex_); + std::list> callbacks_ ABSL_GUARDED_BY(mutex_); absl::Mutex mutex_; }; +} // namespace rpc } // namespace ray From 91f1db0c2433487f54d71e600704a41614666671 Mon Sep 17 00:00:00 2001 From: Mark Rossetti Date: Mon, 22 Sep 2025 19:35:05 +0000 Subject: [PATCH 1322/1566] [Core] [Azure] Fix issue where cached config file gets corrupted if cluster config contains path objects (#56589) Signed-off-by: Mark Rossett Signed-off-by: Douglas Strodtman --- .../ray/autoscaler/_private/_azure/config.py | 7 ++- python/ray/tests/BUILD.bazel | 1 + .../tests/test_azure_path_serialization.py | 58 +++++++++++++++++++ 3 files changed, 63 insertions(+), 3 deletions(-) create mode 100644 python/ray/tests/test_azure_path_serialization.py diff --git a/python/ray/autoscaler/_private/_azure/config.py b/python/ray/autoscaler/_private/_azure/config.py index 1c2b1a91a90f..fb8ba01b45d6 100644 --- a/python/ray/autoscaler/_private/_azure/config.py +++ b/python/ray/autoscaler/_private/_azure/config.py @@ -318,11 +318,12 @@ def _configure_key_pair(config): private_key_path, ssh_user ) - config["auth"]["ssh_private_key"] = private_key_path - config["auth"]["ssh_public_key"] = public_key_path + # Convert Path objects to strings to ensure JSON serialization works + config["auth"]["ssh_private_key"] = str(private_key_path) + config["auth"]["ssh_public_key"] = str(public_key_path) if "file_mounts" not in config: config["file_mounts"] = {} - config["file_mounts"]["~/.ssh/id_rsa.pub"] = public_key_path + config["file_mounts"]["~/.ssh/id_rsa.pub"] = str(public_key_path) for node_type in config["available_node_types"].values(): azure_arm_parameters = node_type["node_config"].setdefault( diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 376cc5473e7a..1472117bc054 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -751,6 +751,7 @@ py_test_module_list( files = [ "test_autoscaler_gcp.py", "test_autoscaler_util.py", + "test_azure_path_serialization.py", ], tags = [ "exclusive", diff --git a/python/ray/tests/test_azure_path_serialization.py b/python/ray/tests/test_azure_path_serialization.py new file mode 100644 index 000000000000..d9ecba1c9e72 --- /dev/null +++ b/python/ray/tests/test_azure_path_serialization.py @@ -0,0 +1,58 @@ +"""Tests for Azure autoscaler Path object serialization. + +This test verifies that the Azure autoscaler properly handles Path objects +by converting them to strings before storing them in the configuration dictionary, +which ensures that the configuration can be properly serialized to JSON. + +The issue was introduced in PR #54596 which added automatic SSH key generation +for Azure clusters but stored Path objects directly in the configuration, +which later caused serialization errors. +""" +import json +import sys + +import pytest + +from ray.autoscaler._private._azure.config import _configure_key_pair + + +def test_azure_key_pair_string_conversion(tmp_path): + """Test that Azure key pair configuration converts Path objects to strings.""" + + # Create the key files under pytest's temporary path + private_key_path = tmp_path / "id_rsa" + public_key_path = tmp_path / "id_rsa.pub" + + # Create and write the key files + private_key_path.write_text("") + public_key_path.write_text("ssh-rsa TEST_KEY user@example.com") + + # Create a test config with Path objects + config = { + "auth": { + "ssh_user": "ubuntu", + "ssh_private_key": private_key_path, + "ssh_public_key": public_key_path, + }, + "provider": {"location": "westus2", "resource_group": "test-group"}, + "available_node_types": {"ray.head.default": {"node_config": {}}}, + } + + # Process the config + result_config = _configure_key_pair(config) + + # Verify the paths were converted to strings + assert isinstance(result_config["auth"]["ssh_private_key"], str) + assert isinstance(result_config["auth"]["ssh_public_key"], str) + assert isinstance(result_config["file_mounts"]["~/.ssh/id_rsa.pub"], str) + + # Verify we can serialize the config to JSON without errors + json_str = json.dumps(result_config) + # If we get here, serialization succeeded + # Now try to deserialize to make sure it's valid JSON + deserialized = json.loads(json_str) + assert isinstance(deserialized, dict) + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) From 2a6bd96f7ba715d5b6326a688003424311a99cfc Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 23 Sep 2025 01:06:51 +0530 Subject: [PATCH 1323/1566] [core] Expose serialized_runtime_info consistently across all public oneevent protos (#56325) Based on [this](https://github.com/ray-project/ray/pull/56221#discussion_r2324176414) discussion we have decided to use `serialized_runtime_info` instead of `runtime_info` for all definition events. This pr depricates the old `runtime_info` and uses `serialized_runtime_info`. existing test and code paths have also been updated runtime_env_info field in `actor_task_definition_events`, `driver_job_definition_events` and `task_definition_events` has been marked as deprecated/removed all together (removed in cases where we are sure that there are no downstream consumers). `runtime_env_info` in `task_definition_events` is still being used, so for the time being the field will still be populated, once the downstream consumers are updated, we can stop populating this filed. --------- Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../aggregator/tests/test_aggregator_agent.py | 43 ++----------------- src/ray/core_worker/BUILD.bazel | 1 + src/ray/core_worker/task_event_buffer.cc | 3 ++ src/ray/gcs/gcs_ray_event_converter.cc | 9 ++-- src/ray/gcs/gcs_ray_event_converter.h | 4 +- .../gcs/tests/gcs_ray_event_converter_test.cc | 6 +-- .../ray_driver_job_definition_event.cc | 15 +------ .../events_actor_task_definition_event.proto | 3 +- .../events_driver_job_definition_event.proto | 5 +-- .../public/events_task_definition_event.proto | 3 +- 10 files changed, 23 insertions(+), 69 deletions(-) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 4d5bf15ed4ba..7adba7ac7275 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -46,11 +46,6 @@ ) from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents from ray.core.generated.profile_events_pb2 import ProfileEventEntry, ProfileEvents -from ray.core.generated.runtime_environment_pb2 import ( - RuntimeEnvConfig, - RuntimeEnvInfo, - RuntimeEnvUris, -) from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent from ray.dashboard.tests.conftest import * # noqa @@ -472,9 +467,7 @@ def _create_task_definition_event_proto(timestamp): "CPU": 1.0, "GPU": 0.0, }, - runtime_env_info=RuntimeEnvInfo( - serialized_runtime_env="{}", - ), + serialized_runtime_env="{}", job_id=b"1", parent_task_id=b"1", placement_group_id=b"1", @@ -536,10 +529,7 @@ def _verify_task_definition_event_json(req_json, expected_timestamp): "CPU": 1.0, "GPU": 0.0, } - assert ( - req_json[0]["taskDefinitionEvent"]["runtimeEnvInfo"]["serializedRuntimeEnv"] - == "{}" - ) + assert req_json[0]["taskDefinitionEvent"]["serializedRuntimeEnv"] == "{}" assert ( req_json[0]["taskDefinitionEvent"]["jobId"] == base64.b64encode(b"1").decode() ) @@ -762,18 +752,7 @@ def test_aggregator_agent_receive_driver_job_definition_event( driver_job_definition_event=DriverJobDefinitionEvent( job_id=b"1", config=DriverJobDefinitionEvent.Config( - runtime_env_info=RuntimeEnvInfo( - serialized_runtime_env="{}", - uris=RuntimeEnvUris( - working_dir_uri="file:///tmp/ray/runtime_env", - py_modules_uris=[], - ), - runtime_env_config=RuntimeEnvConfig( - setup_timeout_seconds=10, - eager_install=True, - log_files=[], - ), - ), + serialized_runtime_env="{}", metadata={}, ), ), @@ -790,23 +769,9 @@ def test_aggregator_agent_receive_driver_job_definition_event( req_json = json.loads(req.data) assert req_json[0]["message"] == "driver job event" assert ( - req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"][ - "serializedRuntimeEnv" - ] + req_json[0]["driverJobDefinitionEvent"]["config"]["serializedRuntimeEnv"] == "{}" ) - assert ( - req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"]["uris"][ - "workingDirUri" - ] - == "file:///tmp/ray/runtime_env" - ) - assert ( - req_json[0]["driverJobDefinitionEvent"]["config"]["runtimeEnvInfo"][ - "runtimeEnvConfig" - ]["setupTimeoutSeconds"] - == 10.0 - ) @_with_aggregator_port diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 3905da807239..8f94b27e3aa0 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -230,6 +230,7 @@ ray_cc_library( name = "task_event_buffer", srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], + copts = ["-Wno-error=deprecated-declarations"], visibility = [":__subpackages__"], deps = [ "//src/ray/common:asio", diff --git a/src/ray/core_worker/task_event_buffer.cc b/src/ray/core_worker/task_event_buffer.cc index 5a3662415d0b..083225746cde 100644 --- a/src/ray/core_worker/task_event_buffer.cc +++ b/src/ray/core_worker/task_event_buffer.cc @@ -190,6 +190,9 @@ void TaskStatusEvent::PopulateRpcRayTaskDefinitionEvent(T &definition_event_data definition_event_data.mutable_required_resources()->insert( std::make_move_iterator(required_resources.begin()), std::make_move_iterator(required_resources.end())); + definition_event_data.set_serialized_runtime_env( + task_spec_->RuntimeEnvInfo().serialized_runtime_env()); + // TODO(CORE-2277): Remove this once runtime_env_info is fully deprecated. definition_event_data.mutable_runtime_env_info()->CopyFrom( task_spec_->RuntimeEnvInfo()); definition_event_data.set_job_id(job_id_.Binary()); diff --git a/src/ray/gcs/gcs_ray_event_converter.cc b/src/ray/gcs/gcs_ray_event_converter.cc index d07a51ca3557..96b1ddc1d8a3 100644 --- a/src/ray/gcs/gcs_ray_event_converter.cc +++ b/src/ray/gcs/gcs_ray_event_converter.cc @@ -135,7 +135,7 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( task_info->set_placement_group_id(event.placement_group_id()); } - PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_runtime_env_info()), + PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_serialized_runtime_env()), std::move(*event.mutable_task_func()), std::move(*event.mutable_required_resources()), event.language(), @@ -182,7 +182,7 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( if (!event.actor_id().empty()) { task_info->set_actor_id(event.actor_id()); } - PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_runtime_env_info()), + PopulateTaskRuntimeAndFunctionInfo(std::move(*event.mutable_serialized_runtime_env()), std::move(*event.mutable_actor_func()), std::move(*event.mutable_required_resources()), event.language(), @@ -202,13 +202,14 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( } void GcsRayEventConverter::PopulateTaskRuntimeAndFunctionInfo( - rpc::RuntimeEnvInfo &&runtime_env_info, + std::string &&serialized_runtime_env, rpc::FunctionDescriptor &&function_descriptor, ::google::protobuf::Map &&required_resources, rpc::Language language, rpc::TaskInfoEntry *task_info) { task_info->set_language(language); - task_info->mutable_runtime_env_info()->Swap(&runtime_env_info); + task_info->mutable_runtime_env_info()->set_serialized_runtime_env( + std::move(serialized_runtime_env)); switch (language) { case rpc::Language::CPP: if (function_descriptor.has_cpp_function_descriptor()) { diff --git a/src/ray/gcs/gcs_ray_event_converter.h b/src/ray/gcs/gcs_ray_event_converter.h index 950d77c00dcb..614d3ae733a6 100644 --- a/src/ray/gcs/gcs_ray_event_converter.h +++ b/src/ray/gcs/gcs_ray_event_converter.h @@ -67,13 +67,13 @@ class GcsRayEventConverter { /// and required resources. This function is commonly used to convert the task /// and actor task definition events to TaskEvents. /// - /// \param runtime_env_info The runtime env info. + /// \param serialized_runtime_env The serialized runtime environment string. /// \param function_descriptor The function descriptor. /// \param required_resources The required resources. /// \param language The language of the task. /// \param task_info The output TaskInfoEntry to populate. void PopulateTaskRuntimeAndFunctionInfo( - rpc::RuntimeEnvInfo &&runtime_env_info, + std::string &&serialized_runtime_env, rpc::FunctionDescriptor &&function_descriptor, ::google::protobuf::Map &&required_resources, rpc::Language language, diff --git a/src/ray/gcs/tests/gcs_ray_event_converter_test.cc b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc index 89a10bebe4f2..4b83d8157ad8 100644 --- a/src/ray/gcs/tests/gcs_ray_event_converter_test.cc +++ b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc @@ -75,8 +75,7 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { (*task_def_event->mutable_required_resources())["memory"] = 1024.0; // Set runtime env info - auto *runtime_env = task_def_event->mutable_runtime_env_info(); - runtime_env->set_serialized_runtime_env("test_env"); + task_def_event->set_serialized_runtime_env("test_env"); // Convert auto task_event_data_requests = @@ -385,8 +384,7 @@ TEST_F(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent) { actor_def_event.set_placement_group_id("pg-actor"); // Set runtime env info - auto *runtime_env = actor_def_event.mutable_runtime_env_info(); - runtime_env->set_serialized_runtime_env("test_actor_env"); + actor_def_event.set_serialized_runtime_env("test_actor_env"); // Set actor function descriptor (Python) auto *func_desc = actor_def_event.mutable_actor_func(); diff --git a/src/ray/observability/ray_driver_job_definition_event.cc b/src/ray/observability/ray_driver_job_definition_event.cc index 11bfd03730a5..c46cc4cf6295 100644 --- a/src/ray/observability/ray_driver_job_definition_event.cc +++ b/src/ray/observability/ray_driver_job_definition_event.cc @@ -32,21 +32,8 @@ RayDriverJobDefinitionEvent::RayDriverJobDefinitionEvent(const rpc::JobTableData data_.mutable_config()->mutable_metadata()->insert(data.config().metadata().begin(), data.config().metadata().end()); - auto runtime_env_info = data_.mutable_config()->mutable_runtime_env_info(); - runtime_env_info->set_serialized_runtime_env( + data_.mutable_config()->set_serialized_runtime_env( data.config().runtime_env_info().serialized_runtime_env()); - auto runtime_env_uris = runtime_env_info->mutable_uris(); - runtime_env_uris->set_working_dir_uri( - data.config().runtime_env_info().uris().working_dir_uri()); - runtime_env_uris->mutable_py_modules_uris()->CopyFrom( - data.config().runtime_env_info().uris().py_modules_uris()); - auto runtime_env_config = runtime_env_info->mutable_runtime_env_config(); - runtime_env_config->set_setup_timeout_seconds( - data.config().runtime_env_info().runtime_env_config().setup_timeout_seconds()); - runtime_env_config->set_eager_install( - data.config().runtime_env_info().runtime_env_config().eager_install()); - runtime_env_config->mutable_log_files()->CopyFrom( - data.config().runtime_env_info().runtime_env_config().log_files()); } std::string RayDriverJobDefinitionEvent::GetEntityId() const { return data_.job_id(); } diff --git a/src/ray/protobuf/public/events_actor_task_definition_event.proto b/src/ray/protobuf/public/events_actor_task_definition_event.proto index 12cda5260379..6fa2c9d73a82 100644 --- a/src/ray/protobuf/public/events_actor_task_definition_event.proto +++ b/src/ray/protobuf/public/events_actor_task_definition_event.proto @@ -31,7 +31,7 @@ message ActorTaskDefinitionEvent { FunctionDescriptor actor_func = 4; string actor_task_name = 5; map required_resources = 6; - RuntimeEnvInfo runtime_env_info = 7; + RuntimeEnvInfo runtime_env_info = 7 [deprecated = true]; // The correlation ids of the task that can be used to correlate the task with // other events. @@ -40,4 +40,5 @@ message ActorTaskDefinitionEvent { bytes parent_task_id = 10; bytes placement_group_id = 11; map ref_ids = 12; + string serialized_runtime_env = 13; } diff --git a/src/ray/protobuf/public/events_driver_job_definition_event.proto b/src/ray/protobuf/public/events_driver_job_definition_event.proto index a9f17714c7a1..61af1397f5d5 100644 --- a/src/ray/protobuf/public/events_driver_job_definition_event.proto +++ b/src/ray/protobuf/public/events_driver_job_definition_event.proto @@ -15,9 +15,6 @@ syntax = "proto3"; -import "google/protobuf/timestamp.proto"; -import "src/ray/protobuf/public/runtime_environment.proto"; - package ray.rpc.events; // Message containing the definition information of a driver job. @@ -26,7 +23,7 @@ package ray.rpc.events; // For runtime information associated with this event, see DriverJobExecutionEvent. message DriverJobDefinitionEvent { message Config { - RuntimeEnvInfo runtime_env_info = 1; + string serialized_runtime_env = 1; map metadata = 2; } diff --git a/src/ray/protobuf/public/events_task_definition_event.proto b/src/ray/protobuf/public/events_task_definition_event.proto index 7ed83ae87938..23ab38296fbf 100644 --- a/src/ray/protobuf/public/events_task_definition_event.proto +++ b/src/ray/protobuf/public/events_task_definition_event.proto @@ -33,7 +33,7 @@ message TaskDefinitionEvent { FunctionDescriptor task_func = 5; string task_name = 6; map required_resources = 7; - RuntimeEnvInfo runtime_env_info = 8; + RuntimeEnvInfo runtime_env_info = 8 [deprecated = true]; // The correlation ids of the task that can be used to correlate the task with // other events. @@ -41,4 +41,5 @@ message TaskDefinitionEvent { bytes parent_task_id = 10; bytes placement_group_id = 11; map ref_ids = 12; + string serialized_runtime_env = 13; } From f742228b29b769f5045a50497697a6be71c35011 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 22 Sep 2025 13:21:13 -0700 Subject: [PATCH 1324/1566] [release] Make run_release_test binary hermetic (#56717) So it doesn't look for dependencies in the system which can be confusing.. Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 1 + 1 file changed, 1 insertion(+) diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 0394c44afa8c..dc1bc5fb3e23 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -294,6 +294,7 @@ py_binary( ["**/*.py"], exclude = ["ray_release/tests/*.py"], ), + exec_compatible_with = ["//:hermetic_python"], deps = [":ray_release"], ) From 0cdb49b7ef954a30a7d08511de594261401c4241 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Mon, 22 Sep 2025 13:58:46 -0700 Subject: [PATCH 1325/1566] [core][rdt] Add nixl installation script and examples (#56430) Adapt the nixl installation script from vllm repo, also add examples in the nixl doc. Signed-off-by: Douglas Strodtman --- doc/source/ray-core/direct-transport.rst | 32 +++++++--- .../doc_code/direct_transport_nixl.py | 26 +++++++- doc/tools/install_gdrcopy.sh | 59 +++++++++++++++++++ 3 files changed, 107 insertions(+), 10 deletions(-) create mode 100644 doc/tools/install_gdrcopy.sh diff --git a/doc/source/ray-core/direct-transport.rst b/doc/source/ray-core/direct-transport.rst index bf591bd8a577..f6d4cd70b642 100644 --- a/doc/source/ray-core/direct-transport.rst +++ b/doc/source/ray-core/direct-transport.rst @@ -168,6 +168,14 @@ The main code differences are: Usage with NIXL (CPUs or NVIDIA GPUs) ------------------------------------- +Installation +^^^^^^^^^^^^ + +For maximum performance, run the `install_gdrcopy.sh `__ script (e.g., ``install_gdrcopy.sh "${GDRCOPY_OS_VERSION}" "12.8" "x64"``). You can find available OS versions `here `__. If `gdrcopy` is not installed, things will still work with a plain ``pip install nixl``, just with lower performance. `nixl` and `ucx` are installed as dependencies via pip. + +Walkthrough +^^^^^^^^^^^ + NIXL can transfer data between different devices, including CPUs and NVIDIA GPUs, but doesn't require a collective group to be created ahead of time. This means that any actor that has NIXL installed in its environment can be used to create and pass an RDT object. @@ -185,17 +193,23 @@ Compared to the :ref:`Gloo example `, the main code diffe 1. The :func:`@ray.method ` uses ``tensor_transport="nixl"`` instead of ``tensor_transport="gloo"``. 2. No collective group is needed. -.. TODO: ray.get with NIXL - ``ray.get`` - ^^^^^^^^^^^ +ray.put and ray.get with NIXL +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - Unlike the collective-based tensor transports (Gloo and NCCL), the :func:`ray.get ` function can use NIXL or the Ray object store to retrieve a copy of the result. - By default, the tensor transport for :func:`ray.get ` will be the one specified in the :func:`@ray.method ` decorator. +Unlike the collective-based tensor transports (Gloo and NCCL), the :func:`ray.get ` function can use NIXL to retrieve a copy of the result. +By default, the tensor transport for :func:`ray.get ` will be the one specified in the :func:`@ray.method ` decorator. - .. literalinclude:: doc_code/direct_transport_nixl.py - :language: python - :start-after: __nixl_get_start__ - :end-before: __nixl_get_end__ +.. literalinclude:: doc_code/direct_transport_nixl.py + :language: python + :start-after: __nixl_get_start__ + :end-before: __nixl_get_end__ + +You can also use NIXL to retrieve the result from references created by :func:`ray.put `. + +.. literalinclude:: doc_code/direct_transport_nixl.py + :language: python + :start-after: __nixl_put__and_get_start__ + :end-before: __nixl_put__and_get_end__ Summary ------- diff --git a/doc/source/ray-core/doc_code/direct_transport_nixl.py b/doc/source/ray-core/doc_code/direct_transport_nixl.py index 7952c7f9fb87..2acf084cf195 100644 --- a/doc/source/ray-core/doc_code/direct_transport_nixl.py +++ b/doc/source/ray-core/doc_code/direct_transport_nixl.py @@ -14,6 +14,22 @@ def random_tensor(self): def sum(self, tensor: torch.Tensor): return torch.sum(tensor) + def produce(self, tensors): + refs = [] + for t in tensors: + refs.append(ray.put(t, _tensor_transport="nixl")) + return refs + + def consume_with_nixl(self, refs): + # ray.get will also use NIXL to retrieve the + # result. + tensors = [ray.get(ref) for ref in refs] + sum = 0 + for t in tensors: + assert t.device.type == "cuda" + sum += t.sum().item() + return sum + # No collective group is needed. The two actors just need to have NIXL # installed. @@ -27,8 +43,16 @@ def sum(self, tensor: torch.Tensor): # __nixl_full_example_end__ # __nixl_get_start__ -# The :func:`ray.get ` function will also use NIXL to retrieve the +# ray.get will also use NIXL to retrieve the # result. print(ray.get(tensor)) # torch.Tensor(...) # __nixl_get_end__ + +# __nixl_put__and_get_start__ +tensor1 = torch.randn(1000, 1000).cuda() +tensor2 = torch.randn(1000, 1000).cuda() +refs = sender.produce.remote([tensor1, tensor2]) +ref1 = receiver.consume_with_nixl.remote(refs) +print(ray.get(ref1)) +# __nixl_put__and_get_end__ diff --git a/doc/tools/install_gdrcopy.sh b/doc/tools/install_gdrcopy.sh new file mode 100644 index 000000000000..ed9a4ef9af3b --- /dev/null +++ b/doc/tools/install_gdrcopy.sh @@ -0,0 +1,59 @@ +#!/usr/bin/env bash +set -euo pipefail + +# Adapted from https://github.com/vllm-project/vllm/blob/main/tools/install_gdrcopy.sh + +# Usage: install_gdrcopy.sh +# uuarch must be "x64" or "aarch64" +# Optional: set GDRCOPY_VERSION to override the libgdrapi package version (default: 2.5.1-1) +# Requires: curl, apt-get, root privileges +if [[ $(id -u) -ne 0 ]]; then + echo "Must be run as root" >&2 + + exit 1 +fi +if [[ $# -ne 3 ]]; then + echo "Usage: $0 " >&2 + exit 1 +fi + +OS_VER="$1" +CUDA_VER="$2" +UUARCH_RAW="$3" + +# Normalize/validate arch +case "${UUARCH_RAW,,}" in + aarch64|arm64) + URL_ARCH="aarch64" + DEB_ARCH="arm64" + ;; + x64|x86_64|amd64) + URL_ARCH="x64" + DEB_ARCH="amd64" + ;; + *) + echo "Unsupported uuarch: ${UUARCH_RAW}. Use 'x64' or 'aarch64'." >&2 + exit 1 + ;; +esac + +OS_VER_LOWER="$(tr '[:upper:]' '[:lower:]' <<<"$OS_VER")" +GDRCOPY_PKG_VER="${GDRCOPY_VERSION:-2.5.1-1}" + +DEB_NAME="libgdrapi_${GDRCOPY_PKG_VER}_${DEB_ARCH}.${OS_VER}.deb" +BASE_URL="https://developer.download.nvidia.com/compute/redist/gdrcopy" +URL="${BASE_URL}/CUDA%20${CUDA_VER}/${OS_VER_LOWER}/${URL_ARCH}/${DEB_NAME}" + +echo "Downloading: ${URL}" +TMPDIR="$(mktemp -d)" +trap 'rm -rf "${TMPDIR}"' EXIT + +curl -fSL "${URL}" -o "${TMPDIR}/${DEB_NAME}" + +export DEBIAN_FRONTEND=noninteractive +apt-get update +apt-get install -y "${TMPDIR}/${DEB_NAME}" +apt-get clean +rm -rf /var/lib/apt/lists/* + +echo "Installed ${DEB_NAME}" From 5d1c58ae7b1868d5b30331fd0375b4633a271911 Mon Sep 17 00:00:00 2001 From: Levi080513 Date: Tue, 23 Sep 2025 05:35:11 +0800 Subject: [PATCH 1326/1566] [Core][Autoscaler] Fixed an issue where the command executed when use_podman=true and run_env=None was not prefixed with podman exec (#56619) Closes https://github.com/ray-project/ray/issues/55011 Signed-off-by: huangwei Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/_private/command_runner.py | 2 +- python/ray/tests/test_autoscaler.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/autoscaler/_private/command_runner.py b/python/ray/autoscaler/_private/command_runner.py index 55ffd5d9c838..930367c420b8 100644 --- a/python/ray/autoscaler/_private/command_runner.py +++ b/python/ray/autoscaler/_private/command_runner.py @@ -505,7 +505,7 @@ def run( if environment_variables: cmd = _with_environment_variables(cmd, environment_variables) - if run_env == "docker": + if run_env == self.docker_cmd: cmd = self._docker_expand_user(cmd, any_char=True) if is_using_login_shells(): cmd = " ".join(_with_interactive(cmd)) diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py index a4a6a0216b71..681137775d04 100644 --- a/python/ray/tests/test_autoscaler.py +++ b/python/ray/tests/test_autoscaler.py @@ -748,8 +748,8 @@ def testGetOrCreateHeadNodePodman(self): ) self.waitForNodes(1) runner.assert_has_call("1.2.3.4", "init_cmd") - runner.assert_has_call("1.2.3.4", "head_setup_cmd") - runner.assert_has_call("1.2.3.4", "start_ray_head") + runner.assert_has_call("1.2.3.4", "podman exec .*head_setup_cmd.*") + runner.assert_has_call("1.2.3.4", "podman exec .*start_ray_head.*") self.assertEqual(self.provider.mock_nodes["0"].node_type, "head") runner.assert_has_call("1.2.3.4", pattern="podman run") From 2b9f5b6772b96d6e848390127bf740b07bade662 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 23 Sep 2025 03:07:18 +0530 Subject: [PATCH 1327/1566] [core][actor-event-02] Add RayEventInterface implementations for Actor definition and actor lifecycle events (#56321) this is part 2 of a series of pr's to add support for Actor execution and definition events in the new oneevents framework. This pr builds on top of https://github.com/ray-project/ray/pull/55065 this pr adds implementation of `RayEventInterface` for `ActorDefinitionEvent` and `ActorLifecycleEvent` and adds a test for the same. part 1: defining the schema for `ActorDefinitionEvent` and `ActorExecutionEvent` https://github.com/ray-project/ray/pull/56221 --------- Signed-off-by: Cuong Nguyen Signed-off-by: sampan Co-authored-by: Cuong Nguyen Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- src/ray/observability/BUILD.bazel | 28 ++++++++ .../ray_actor_definition_event.cc | 59 ++++++++++++++++ .../ray_actor_definition_event.h | 37 ++++++++++ .../ray_actor_lifecycle_event.cc | 69 +++++++++++++++++++ .../observability/ray_actor_lifecycle_event.h | 37 ++++++++++ src/ray/observability/tests/BUILD.bazel | 24 +++++++ .../tests/ray_actor_definition_event_test.cc | 64 +++++++++++++++++ .../tests/ray_actor_lifecycle_event_test.cc | 60 ++++++++++++++++ .../tests/ray_event_recorder_test.cc | 49 +++++++++++-- 9 files changed, 423 insertions(+), 4 deletions(-) create mode 100644 src/ray/observability/ray_actor_definition_event.cc create mode 100644 src/ray/observability/ray_actor_definition_event.h create mode 100644 src/ray/observability/ray_actor_lifecycle_event.cc create mode 100644 src/ray/observability/ray_actor_lifecycle_event.h create mode 100644 src/ray/observability/tests/ray_actor_definition_event_test.cc create mode 100644 src/ray/observability/tests/ray_actor_lifecycle_event_test.cc diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index 975f6f1a90a4..e9e4eae06a8e 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -87,6 +87,34 @@ ray_cc_library( ], ) +ray_cc_library( + name = "ray_actor_definition_event", + srcs = [ + "ray_actor_definition_event.cc", + ], + hdrs = [ + "ray_actor_definition_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_actor_definition_event_cc_proto", + ], +) + +ray_cc_library( + name = "ray_actor_lifecycle_event", + srcs = [ + "ray_actor_lifecycle_event.cc", + ], + hdrs = [ + "ray_actor_lifecycle_event.h", + ], + deps = [ + ":ray_event", + "//src/ray/protobuf/public:events_actor_lifecycle_event_cc_proto", + ], +) + ray_cc_library( name = "ray_node_definition_event", srcs = [ diff --git a/src/ray/observability/ray_actor_definition_event.cc b/src/ray/observability/ray_actor_definition_event.cc new file mode 100644 index 000000000000..20b5ce46fca1 --- /dev/null +++ b/src/ray/observability/ray_actor_definition_event.cc @@ -0,0 +1,59 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_actor_definition_event.h" + +namespace ray { +namespace observability { + +RayActorDefinitionEvent::RayActorDefinitionEvent(const rpc::ActorTableData &data, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::ACTOR_DEFINITION_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + data_.set_actor_id(data.actor_id()); + data_.set_job_id(data.job_id()); + data_.set_is_detached(data.is_detached()); + data_.set_name(data.name()); + data_.set_ray_namespace(data.ray_namespace()); + data_.set_serialized_runtime_env(data.serialized_runtime_env()); + data_.set_class_name(data.class_name()); + data_.mutable_required_resources()->insert(data.required_resources().begin(), + data.required_resources().end()); + if (data.has_placement_group_id()) { + data_.set_placement_group_id(data.placement_group_id()); + } + data_.mutable_label_selector()->insert(data.label_selector().begin(), + data.label_selector().end()); +} + +std::string RayActorDefinitionEvent::GetEntityId() const { return data_.actor_id(); } + +void RayActorDefinitionEvent::MergeData( + RayEvent &&other) { + // Definition events are static. Merging does not change the event. + return; +} + +ray::rpc::events::RayEvent RayActorDefinitionEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_actor_definition_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_actor_definition_event.h b/src/ray/observability/ray_actor_definition_event.h new file mode 100644 index 000000000000..15fcb0fd0e22 --- /dev/null +++ b/src/ray/observability/ray_actor_definition_event.h @@ -0,0 +1,37 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include + +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf/gcs.pb.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayActorDefinitionEvent : public RayEvent { + public: + RayActorDefinitionEvent(const rpc::ActorTableData &data, + const std::string &session_name); + + std::string GetEntityId() const override; + void MergeData(RayEvent &&other) override; + ray::rpc::events::RayEvent SerializeData() && override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_actor_lifecycle_event.cc b/src/ray/observability/ray_actor_lifecycle_event.cc new file mode 100644 index 000000000000..2949b6f01d56 --- /dev/null +++ b/src/ray/observability/ray_actor_lifecycle_event.cc @@ -0,0 +1,69 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_actor_lifecycle_event.h" + +namespace ray { +namespace observability { + +RayActorLifecycleEvent::RayActorLifecycleEvent( + const rpc::ActorTableData &data, + rpc::events::ActorLifecycleEvent::State state, + const std::string &session_name) + : RayEvent( + rpc::events::RayEvent::GCS, + rpc::events::RayEvent::ACTOR_LIFECYCLE_EVENT, + rpc::events::RayEvent::INFO, + "", + session_name) { + ray::rpc::events::ActorLifecycleEvent::StateTransition state_transition; + state_transition.set_state(state); + state_transition.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( + absl::ToInt64Nanoseconds(absl::Now() - absl::UnixEpoch()))); + + // Set state specific fields + if (state == rpc::events::ActorLifecycleEvent::ALIVE) { + RAY_CHECK(data.has_node_id()); + state_transition.set_node_id(data.node_id()); + state_transition.set_worker_id(data.address().worker_id()); + } + + if (state == rpc::events::ActorLifecycleEvent::DEAD) { + if (data.has_death_cause()) { + *state_transition.mutable_death_cause() = data.death_cause(); + } + } + + data_.set_actor_id(data.actor_id()); + data_.mutable_state_transitions()->Add(std::move(state_transition)); +} + +std::string RayActorLifecycleEvent::GetEntityId() const { return data_.actor_id(); } + +void RayActorLifecycleEvent::MergeData( + RayEvent &&other) { + auto &&other_event = static_cast(other); + for (auto &state : *other_event.data_.mutable_state_transitions()) { + data_.mutable_state_transitions()->Add(std::move(state)); + } +} + +ray::rpc::events::RayEvent RayActorLifecycleEvent::SerializeData() && { + ray::rpc::events::RayEvent event; + event.mutable_actor_lifecycle_event()->Swap(&data_); + return event; +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/ray_actor_lifecycle_event.h b/src/ray/observability/ray_actor_lifecycle_event.h new file mode 100644 index 000000000000..aca0b306b264 --- /dev/null +++ b/src/ray/observability/ray_actor_lifecycle_event.h @@ -0,0 +1,37 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/common/grpc_util.h" +#include "ray/observability/ray_event.h" +#include "src/ray/protobuf//public/events_base_event.pb.h" +#include "src/ray/protobuf/gcs.pb.h" + +namespace ray { +namespace observability { + +template class RayEvent; + +class RayActorLifecycleEvent : public RayEvent { + public: + RayActorLifecycleEvent(const rpc::ActorTableData &data, + rpc::events::ActorLifecycleEvent::State state, + const std::string &session_name); + + std::string GetEntityId() const override; + void MergeData(RayEvent &&other) override; + ray::rpc::events::RayEvent SerializeData() && override; +}; + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/BUILD.bazel b/src/ray/observability/tests/BUILD.bazel index 0c81f3831f9a..dd8f808eadd2 100644 --- a/src/ray/observability/tests/BUILD.bazel +++ b/src/ray/observability/tests/BUILD.bazel @@ -18,6 +18,8 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/observability:fake_metric", + "//src/ray/observability:ray_actor_definition_event", + "//src/ray/observability:ray_actor_lifecycle_event", "//src/ray/observability:ray_driver_job_definition_event", "//src/ray/observability:ray_driver_job_execution_event", "//src/ray/observability:ray_event_recorder", @@ -35,3 +37,25 @@ ray_cc_test( "@com_google_googletest//:gtest_main", ], ) + +ray_cc_test( + name = "ray_actor_definition_event_test", + size = "small", + srcs = ["ray_actor_definition_event_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/observability:ray_actor_definition_event", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "ray_actor_lifecycle_event_test", + size = "small", + srcs = ["ray_actor_lifecycle_event_test.cc"], + tags = ["team:core"], + deps = [ + "//src/ray/observability:ray_actor_lifecycle_event", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/observability/tests/ray_actor_definition_event_test.cc b/src/ray/observability/tests/ray_actor_definition_event_test.cc new file mode 100644 index 000000000000..92afcea6735e --- /dev/null +++ b/src/ray/observability/tests/ray_actor_definition_event_test.cc @@ -0,0 +1,64 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_actor_definition_event.h" + +#include "gtest/gtest.h" + +namespace ray { +namespace observability { + +class RayActorDefinitionEventTest : public ::testing::Test {}; + +TEST_F(RayActorDefinitionEventTest, TestSerialize) { + rpc::ActorTableData data; + data.set_actor_id("test_actor_id"); + data.set_job_id("test_job_id"); + data.set_is_detached(true); + data.set_name("MyActor"); + data.set_ray_namespace("test_ns"); + data.set_serialized_runtime_env("{\"pip\":[\"requests\"]}"); + data.set_class_name("MyClass"); + (*data.mutable_required_resources())["CPU"] = 1.0; + (*data.mutable_required_resources())["GPU"] = 0.5; + data.set_placement_group_id("pg_id"); + (*data.mutable_label_selector())["team"] = "core"; + (*data.mutable_label_selector())["tier"] = "prod"; + + auto event = std::make_unique(data, "test_session_name"); + auto serialized_event = std::move(*event).Serialize(); + + ASSERT_EQ(serialized_event.source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(serialized_event.session_name(), "test_session_name"); + ASSERT_EQ(serialized_event.event_type(), rpc::events::RayEvent::ACTOR_DEFINITION_EVENT); + ASSERT_EQ(serialized_event.severity(), rpc::events::RayEvent::INFO); + ASSERT_TRUE(serialized_event.has_actor_definition_event()); + + const auto &actor_def = serialized_event.actor_definition_event(); + ASSERT_EQ(actor_def.actor_id(), "test_actor_id"); + ASSERT_EQ(actor_def.job_id(), "test_job_id"); + ASSERT_TRUE(actor_def.is_detached()); + ASSERT_EQ(actor_def.name(), "MyActor"); + ASSERT_EQ(actor_def.ray_namespace(), "test_ns"); + ASSERT_EQ(actor_def.serialized_runtime_env(), "{\"pip\":[\"requests\"]}"); + ASSERT_EQ(actor_def.class_name(), "MyClass"); + ASSERT_EQ(actor_def.required_resources().at("CPU"), 1.0); + ASSERT_EQ(actor_def.required_resources().at("GPU"), 0.5); + ASSERT_EQ(actor_def.placement_group_id(), "pg_id"); + ASSERT_EQ(actor_def.label_selector().at("team"), "core"); + ASSERT_EQ(actor_def.label_selector().at("tier"), "prod"); +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/ray_actor_lifecycle_event_test.cc b/src/ray/observability/tests/ray_actor_lifecycle_event_test.cc new file mode 100644 index 000000000000..60f35409081e --- /dev/null +++ b/src/ray/observability/tests/ray_actor_lifecycle_event_test.cc @@ -0,0 +1,60 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/observability/ray_actor_lifecycle_event.h" + +#include "gtest/gtest.h" + +namespace ray { +namespace observability { + +class RayActorLifecycleEventTest : public ::testing::Test {}; + +TEST_F(RayActorLifecycleEventTest, TestMergeAndSerialize) { + rpc::ActorTableData data; + data.set_actor_id("test_actor_id"); + data.set_job_id("test_job_id"); + data.set_is_detached(false); + data.set_name("MyActor"); + data.set_ray_namespace("test_ns"); + data.set_node_id("node-1"); + data.mutable_address()->set_worker_id("worker-123"); + + auto event1 = std::make_unique( + data, rpc::events::ActorLifecycleEvent::DEPENDENCIES_UNREADY, "sess1"); + auto event2 = std::make_unique( + data, rpc::events::ActorLifecycleEvent::ALIVE, "sess1"); + + event1->Merge(std::move(*event2)); + auto serialized_event = std::move(*event1).Serialize(); + + ASSERT_EQ(serialized_event.source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(serialized_event.session_name(), "sess1"); + ASSERT_EQ(serialized_event.event_type(), rpc::events::RayEvent::ACTOR_LIFECYCLE_EVENT); + ASSERT_EQ(serialized_event.severity(), rpc::events::RayEvent::INFO); + ASSERT_TRUE(serialized_event.has_actor_lifecycle_event()); + + const auto &actor_life = serialized_event.actor_lifecycle_event(); + ASSERT_EQ(actor_life.actor_id(), "test_actor_id"); + ASSERT_EQ(actor_life.state_transitions_size(), 2); + ASSERT_EQ(actor_life.state_transitions(0).state(), + rpc::events::ActorLifecycleEvent::DEPENDENCIES_UNREADY); + ASSERT_EQ(actor_life.state_transitions(1).state(), + rpc::events::ActorLifecycleEvent::ALIVE); + ASSERT_EQ(actor_life.state_transitions(1).node_id(), "node-1"); + ASSERT_EQ(actor_life.state_transitions(1).worker_id(), "worker-123"); +} + +} // namespace observability +} // namespace ray diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 1721b46002fa..104af24faeb1 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -24,6 +24,8 @@ #include "ray/common/ray_config.h" #include "ray/observability/fake_metric.h" #include "ray/observability/metric_interface.h" +#include "ray/observability/ray_actor_definition_event.h" +#include "ray/observability/ray_actor_lifecycle_event.h" #include "ray/observability/ray_driver_job_definition_event.h" #include "ray/observability/ray_driver_job_execution_event.h" #include "src/ray/protobuf/gcs.pb.h" @@ -96,17 +98,36 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { data2.set_entrypoint("python another_script.py"); data2.mutable_driver_address()->set_ip_address("192.168.1.100"); + rpc::ActorTableData actor_def_data; + actor_def_data.set_actor_id("actor_1"); + actor_def_data.set_job_id("test_job_id_1"); + actor_def_data.set_is_detached(true); + actor_def_data.set_name("ActorOne"); + actor_def_data.set_ray_namespace("ns1"); + actor_def_data.set_serialized_runtime_env("{}"); + actor_def_data.set_class_name("Cls"); + (*actor_def_data.mutable_required_resources())["CPU"] = 1.0; + + rpc::ActorTableData actor_life_data; + actor_life_data.set_actor_id("actor_2"); + actor_life_data.set_job_id("test_job_id_2"); + actor_life_data.set_node_id("node-xyz"); + std::vector> events; events.push_back( std::make_unique(data1, "test_session_name_1")); events.push_back(std::make_unique( data2, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name_2")); + events.push_back( + std::make_unique(actor_def_data, "test_session_name_3")); + events.push_back(std::make_unique( + actor_life_data, rpc::events::ActorLifecycleEvent::ALIVE, "test_session_name_4")); recorder_->AddEvents(std::move(events)); io_service_.run_one(); std::vector recorded_events = fake_client_->GetRecordedEvents(); - // Verify first event - ASSERT_EQ(recorded_events.size(), 2); + // Verify events + ASSERT_EQ(recorded_events.size(), 4); ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); ASSERT_EQ(recorded_events[0].session_name(), "test_session_name_1"); ASSERT_EQ(recorded_events[0].event_type(), @@ -123,6 +144,26 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { ASSERT_EQ(recorded_events[1].severity(), rpc::events::RayEvent::INFO); ASSERT_TRUE(recorded_events[1].has_driver_job_execution_event()); ASSERT_EQ(recorded_events[1].driver_job_execution_event().job_id(), "test_job_id_2"); + + // Verify third event (actor definition) + ASSERT_EQ(recorded_events[2].source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(recorded_events[2].session_name(), "test_session_name_3"); + ASSERT_EQ(recorded_events[2].event_type(), + rpc::events::RayEvent::ACTOR_DEFINITION_EVENT); + ASSERT_TRUE(recorded_events[2].has_actor_definition_event()); + ASSERT_EQ(recorded_events[2].actor_definition_event().actor_id(), "actor_1"); + ASSERT_EQ(recorded_events[2].actor_definition_event().job_id(), "test_job_id_1"); + + // Verify fourth event (actor lifecycle) + ASSERT_EQ(recorded_events[3].source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(recorded_events[3].session_name(), "test_session_name_4"); + ASSERT_EQ(recorded_events[3].event_type(), + rpc::events::RayEvent::ACTOR_LIFECYCLE_EVENT); + ASSERT_TRUE(recorded_events[3].has_actor_lifecycle_event()); + ASSERT_EQ(recorded_events[3].actor_lifecycle_event().actor_id(), "actor_2"); + ASSERT_EQ(recorded_events[3].actor_lifecycle_event().state_transitions_size(), 1); + ASSERT_EQ(recorded_events[3].actor_lifecycle_event().state_transitions(0).state(), + rpc::events::ActorLifecycleEvent::ALIVE); } TEST_F(RayEventRecorderTest, TestDropEvents) { @@ -130,7 +171,7 @@ TEST_F(RayEventRecorderTest, TestDropEvents) { // Add more events than the buffer size std::vector> events_01; - for (int i = 0; i < max_buffer_size_ + 1; i++) { + for (size_t i = 0; i < max_buffer_size_ + 1; i++) { rpc::JobTableData data; data.set_job_id("test_job_id"); events_01.push_back( @@ -140,7 +181,7 @@ TEST_F(RayEventRecorderTest, TestDropEvents) { // The buffer is full now, add more events to test the overflow handling std::vector> events_02; - for (int i = 0; i < expected_num_dropped_events - 1; i++) { + for (size_t i = 0; i < expected_num_dropped_events - 1; i++) { rpc::JobTableData data; data.set_job_id("test_job_id_" + std::to_string(i)); events_02.push_back( From 92de85f3be2c86c3533f35c713632b7e95343cb2 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Mon, 22 Sep 2025 15:14:21 -0700 Subject: [PATCH 1328/1566] [release] Add RAY_WANT_COMMIT_IN_IMAGE for custom byod build (#56802) If `RAY_WANT_COMMIT_IN_IMAGE` exists, use it in custom byod build step --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .../ray_release/custom_byod_build_init_helper.py | 4 +++- .../tests/test_custom_byod_build_init_helper.py | 13 +++++++++---- 2 files changed, 12 insertions(+), 5 deletions(-) diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index aadf8f44057f..afbc6abe2efb 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -1,5 +1,6 @@ from typing import List, Tuple import yaml +import os from ray_release.configs.global_config import get_global_config from ray_release.logger import logger from ray_release.test import Test @@ -45,7 +46,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: if not custom_byod_images: return build_config = {"group": "Custom images build", "steps": []} - + ray_want_commit = os.getenv("RAY_WANT_COMMIT_IN_IMAGE", "") for image, base_image, post_build_script in custom_byod_images: logger.info( f"Building custom BYOD image: {image}, base image: {base_image}, post build script: {post_build_script}" @@ -57,6 +58,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: "key": generate_custom_build_step_key(image), "instance_type": "release-medium", "commands": [ + f"export RAY_WANT_COMMIT_IN_IMAGE={ray_want_commit}", "bash release/gcloud_docker_login.sh release/aws2gce_iam.json", "export PATH=$(pwd)/google-cloud-sdk/bin:$$PATH", f"aws ecr get-login-password --region {config['byod_ecr_region']} | docker login --username AWS --password-stdin {config['byod_ecr']}", diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py index 34df063f1364..a193c530e863 100644 --- a/release/ray_release/tests/test_custom_byod_build_init_helper.py +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -18,6 +18,7 @@ init_global_config(bazel_runfile("release/ray_release/configs/oss_config.yaml")) +@mock.patch.dict(os.environ, {"RAY_WANT_COMMIT_IN_IMAGE": "abc123"}) @mock.patch("ray_release.custom_byod_build_init_helper.get_images_from_tests") def test_create_custom_build_yaml(mock_get_images_from_tests): config = get_global_config() @@ -61,18 +62,22 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): content = yaml.safe_load(f) assert content["group"] == "Custom images build" assert len(content["steps"]) == 2 + assert ( + "export RAY_WANT_COMMIT_IN_IMAGE=abc123" + in content["steps"][0]["commands"][0] + ) assert ( f"--region {config['byod_ecr_region']}" - in content["steps"][0]["commands"][2] + in content["steps"][0]["commands"][3] ) - assert f"{config['byod_ecr']}" in content["steps"][0]["commands"][2] + assert f"{config['byod_ecr']}" in content["steps"][0]["commands"][3] assert ( f"--image-name {custom_byod_images[0][0]}" - in content["steps"][0]["commands"][3] + in content["steps"][0]["commands"][4] ) assert ( f"--image-name {custom_byod_images[2][0]}" - in content["steps"][1]["commands"][3] + in content["steps"][1]["commands"][4] ) From 98295aa8702de455019b650167eb0408f096ee3e Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 22 Sep 2025 15:45:49 -0700 Subject: [PATCH 1329/1566] [core] fix //src/ray/gcs/tests:gcs_node_manager_test tsan/asan (#56631) Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_node_manager.cc | 5 ++-- src/ray/gcs/tests/gcs_node_manager_test.cc | 27 ++++++++++++++-------- 2 files changed, 21 insertions(+), 11 deletions(-) diff --git a/src/ray/gcs/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc index 492dd35367fd..4b37306c5bfd 100644 --- a/src/ray/gcs/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -182,12 +182,13 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, node_info_delta->set_state(node->state()); node_info_delta->set_end_time_ms(node->end_time_ms()); - auto on_put_done = [this, node_id, node_info_delta, node](const Status &status) { + auto on_put_done = [this, node_id, node_info_delta, node, send_reply_callback, reply]( + const Status &status) { gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta); WriteNodeExportEvent(*node, /*is_register_event*/ false); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); }; gcs_table_storage_->NodeTable().Put(node_id, *node, {on_put_done, io_context_}); - GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } void GcsNodeManager::HandleDrainNode(rpc::DrainNodeRequest request, diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index 8ea31fdf7644..c50b4b03caa4 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -52,9 +52,7 @@ class GcsNodeManagerTest : public ::testing::Test { std::unique_ptr fake_ray_event_recorder_; }; -// TODO(https://github.com/ray-project/ray/pull/56631): Re-enable -// TestRayEventNodeEvents. It was temporarily disabled to unblock CI. -TEST_F(GcsNodeManagerTest, DISABLED_TestRayEventNodeEvents) { +TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { RayConfig::instance().initialize( R"( { @@ -72,11 +70,16 @@ TEST_F(GcsNodeManagerTest, DISABLED_TestRayEventNodeEvents) { rpc::RegisterNodeRequest register_request; register_request.mutable_node_info()->CopyFrom(*node); rpc::RegisterNodeReply register_reply; - auto send_reply_callback = - [](ray::Status status, std::function f1, std::function f2) {}; + std::promise register_promise; + auto send_register_reply_callback = [®ister_promise](ray::Status status, + std::function f1, + std::function f2) { + register_promise.set_value(true); + }; // Add a node to the manager - node_manager.HandleRegisterNode(register_request, ®ister_reply, send_reply_callback); - io_context_->GetIoService().poll(); + node_manager.HandleRegisterNode( + register_request, ®ister_reply, send_register_reply_callback); + register_promise.get_future().get(); auto register_events = fake_ray_event_recorder_->FlushBuffer(); // Test the node definition event + alive node lifecycle event @@ -113,9 +116,15 @@ TEST_F(GcsNodeManagerTest, DISABLED_TestRayEventNodeEvents) { rpc::NodeDeathInfo::EXPECTED_TERMINATION); unregister_request.mutable_node_death_info()->set_reason_message("mock reason message"); rpc::UnregisterNodeReply unregister_reply; + std::promise unregister_promise; + auto send_unregister_reply_callback = [&unregister_promise](ray::Status status, + std::function f1, + std::function f2) { + unregister_promise.set_value(true); + }; node_manager.HandleUnregisterNode( - unregister_request, &unregister_reply, send_reply_callback); - io_context_->GetIoService().poll(); + unregister_request, &unregister_reply, send_unregister_reply_callback); + unregister_promise.get_future().get(); // Test the dead node lifecycle event auto unregister_events = fake_ray_event_recorder_->FlushBuffer(); From 567beab032f5375c3d151616dcaa0872d5258640 Mon Sep 17 00:00:00 2001 From: Jason Li <57246540+JasonLi1909@users.noreply.github.com> Date: Mon, 22 Sep 2025 15:52:02 -0700 Subject: [PATCH 1330/1566] Ray Train test_jax_trainer::test_minimal_multihost Flaky Test Fix (#56548) A fix that addresses the failing flaky test `test_jax_trainer.py::test_minimal_multihost`. https://buildkite.com/ray-project/postmerge/builds/12941#01993f89-cc62-4e31-8de2-8b18f81ac177 Issue: The `test_minimal_multihost` introduces a race condition by attempting to initialize a virtualenv directory twice at the same directory path during worker runtime environment setup. This test would not fail in a true multi-host environment, but the tests simulate a multi-host environment on a singular device. This might be a ray core issue resulting in errors on runtime _env, but this PR will at least unblock the test so it is no longer flaky. Fix: Move `worker_runtime_env` to the job level so that the `pip install jax` only happens once --------- Signed-off-by: JasonLi1909 Signed-off-by: Douglas Strodtman --- python/ray/train/v2/tests/test_jax_trainer.py | 37 ++++++++++--------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/python/ray/train/v2/tests/test_jax_trainer.py b/python/ray/train/v2/tests/test_jax_trainer.py index cc77f03b1ae6..4ce9af585c97 100644 --- a/python/ray/train/v2/tests/test_jax_trainer.py +++ b/python/ray/train/v2/tests/test_jax_trainer.py @@ -3,12 +3,27 @@ import ray from ray.tests.conftest import _ray_start_cluster from ray.train import RunConfig, ScalingConfig -from ray.train.v2._internal.constants import HEALTH_CHECK_INTERVAL_S_ENV_VAR +from ray.train.v2._internal.constants import ( + HEALTH_CHECK_INTERVAL_S_ENV_VAR, + is_v2_enabled, +) from ray.train.v2.jax import JaxTrainer +assert is_v2_enabled() + + +@pytest.fixture +def jax_runtime_env(): + return { + "pip": ["jax"], + "env_vars": { + "JAX_PLATFORMS": "cpu", + }, + } + @pytest.fixture -def ray_tpu_single_host(monkeypatch): +def ray_tpu_single_host(monkeypatch, jax_runtime_env): """Start a mock single-host TPU Ray cluster with 2x4 v6e (8 chips per host).""" with _ray_start_cluster() as cluster: monkeypatch.setenv("TPU_ACCELERATOR_TYPE", "v6e-8") @@ -19,14 +34,14 @@ def ray_tpu_single_host(monkeypatch): resources={"TPU": 8}, ) - ray.init(address=cluster.address) + ray.init(address=cluster.address, runtime_env=jax_runtime_env) yield cluster ray.shutdown() @pytest.fixture -def ray_tpu_multi_host(monkeypatch): +def ray_tpu_multi_host(monkeypatch, jax_runtime_env): """Start a simulated multi-host TPU Ray cluster.""" with _ray_start_cluster() as cluster: monkeypatch.setenv("TPU_NAME", "test-slice-1") @@ -44,7 +59,7 @@ def ray_tpu_multi_host(monkeypatch): resources={"TPU": 4}, ) - ray.init(address=cluster.address) + ray.init(address=cluster.address, runtime_env=jax_runtime_env) yield cluster ray.shutdown() @@ -78,12 +93,6 @@ def test_minimal_singlehost(ray_tpu_single_host, tmp_path): ), run_config=RunConfig( storage_path=str(tmp_path), - worker_runtime_env={ - "pip": ["jax"], - "env_vars": { - "JAX_PLATFORMS": "cpu", - }, - }, ), ) result = trainer.fit() @@ -109,12 +118,6 @@ def test_minimal_multihost(ray_tpu_multi_host, tmp_path): ), run_config=RunConfig( storage_path=str(tmp_path), - worker_runtime_env={ - "pip": ["jax"], - "env_vars": { - "JAX_PLATFORMS": "cpu", - }, - }, ), ) result = trainer.fit() From ca1f37fb0387890e6e7176dcb074a1868523f120 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 22 Sep 2025 16:23:54 -0700 Subject: [PATCH 1331/1566] [deps] updating ray_deps (no py or cpp files) wheel version (#56628) updating ray_deps (no py or cpp files) wheel version https://peps.python.org/pep-0440/ 100.0.0-dev is normalized to 100.0.0.dev0 Wheel building message: ``` + uv build --wheel --directory python/ -o ../.whl/ --python 3.10 Building wheel... /home/ubuntu/.cache/uv/builds-v0/.tmpDRt0BX/lib/python3.10/site-packages/setuptools/dist.py:332: InformationOnly: Normalizing '100.0.0-dev' to '100.0.0.dev0' self.metadata.version = self._normalize_version(self.metadata.version) ``` --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/setup.py b/python/setup.py index 0528b1741a60..3bfa0b90ae92 100644 --- a/python/setup.py +++ b/python/setup.py @@ -38,7 +38,7 @@ RUNTIME_ENV_AGENT_THIRDPARTY_SUBDIR = os.path.join( "ray", "_private", "runtime_env", "agent", "thirdparty_files" ) -DEPS_ONLY_VERSION = "100.0.0-dev" +DEPS_ONLY_VERSION = "100.0.0.dev0" # In automated builds, we do a few adjustments before building. For instance, # the bazel environment is set up slightly differently, and symlinks are # replaced with junctions in Windows. This variable is set in our conda-forge From c598fa569f46615ec7db4b5c4d080bd1fa7cee88 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 22 Sep 2025 16:27:40 -0700 Subject: [PATCH 1332/1566] [core] fix test_task_metrics flakiness (#56768) The test `test_task_metrics` became flaky (for both OpenCensus and OpenTelemetry versions) after a recent change, due to two issues: - `test_task_retry` and `test_actor_task_retry`: These tests became flaky because exported metrics now include the full time series for the entire lifecycle of the test, including dead tasks and actor tasks. The fix is to check that the expected metrics, which previously captured only the successful retries of tasks, are a subset of the full time series. - `test_metrics_export_now`: This test became flaky because the first driver task may fail to export its metric. The root cause is that the dashboard_agent might not be ready when the first driver task is launched and terminated. The fix is to ensure the dashboard agent is up before running the tests. Test: - CI - Both OpenTelemetry and OpenCensus versions were executed 10 times each, and all passed without retries: - OpenCensus: [link](https://buildkite.com/ray-project/premerge/builds/49492/steps/canvas?sid=019972b8-4a9e-42a6-a5ef-895c5e0ea295) - OpenTelemetry: [link](https://buildkite.com/ray-project/premerge/builds/49492/steps/canvas?sid=019972b8-4aa0-4f7c-813b-a1318ed9b61d) - https://buildkite.com/ray-project/postmerge/builds/13119/steps/canvas --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 16 +++++++++++++- .../aggregator/tests/test_ray_job_events.py | 21 ++++--------------- .../aggregator/tests/test_ray_node_events.py | 21 ++++--------------- python/ray/tests/test_task_metrics.py | 17 ++++++++++----- 4 files changed, 35 insertions(+), 40 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index cdbb7424404e..f5c2042f30a1 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -30,6 +30,7 @@ import ray._private.services import ray._private.services as services import ray._private.utils +import ray.dashboard.consts as dashboard_consts from ray._common.network_utils import build_address, parse_address from ray._common.test_utils import wait_for_condition from ray._common.utils import get_or_create_event_loop @@ -39,7 +40,7 @@ from ray._private.internal_api import memory_summary from ray._private.tls_utils import generate_self_signed_tls_certs from ray._private.worker import RayContext -from ray._raylet import Config, GcsClientOptions, GlobalStateAccessor +from ray._raylet import Config, GcsClient, GcsClientOptions, GlobalStateAccessor from ray.core.generated import ( gcs_pb2, gcs_service_pb2, @@ -396,6 +397,19 @@ def check_call_ray(args, capture_stdout=False, capture_stderr=False): check_call_subprocess(["ray"] + args, capture_stdout, capture_stderr) +def wait_for_dashboard_agent_available(cluster): + gcs_client = GcsClient(address=cluster.address) + + def get_dashboard_agent_address(): + return gcs_client.internal_kv_get( + f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), + namespace=ray_constants.KV_NAMESPACE_DASHBOARD, + timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, + ) + + wait_for_condition(lambda: get_dashboard_agent_address() is not None) + + def wait_for_pid_to_exit(pid: int, timeout: float = 20): start_time = time.time() while time.time() - start_time < timeout: diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py index 006bccd2f19d..b5b10213e283 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py @@ -5,10 +5,10 @@ import pytest import ray -import ray.dashboard.consts as dashboard_consts -from ray._private import ray_constants -from ray._private.test_utils import wait_for_condition -from ray._raylet import GcsClient +from ray._private.test_utils import ( + wait_for_condition, + wait_for_dashboard_agent_available, +) from ray.dashboard.tests.conftest import * # noqa _RAY_EVENT_PORT = 12345 @@ -19,19 +19,6 @@ def httpserver_listen_address(): return ("127.0.0.1", _RAY_EVENT_PORT) -def wait_for_dashboard_agent_available(cluster): - gcs_client = GcsClient(address=cluster.address) - - def get_dashboard_agent_address(): - return gcs_client.internal_kv_get( - f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, - ) - - wait_for_condition(lambda: get_dashboard_agent_address() is not None) - - def test_ray_job_events(ray_start_cluster, httpserver): cluster = ray_start_cluster cluster.add_node( diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py index da4514c48574..1bb4a5b5701e 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_node_events.py @@ -5,10 +5,10 @@ import pytest import ray -import ray.dashboard.consts as dashboard_consts -from ray._private import ray_constants -from ray._private.test_utils import wait_for_condition -from ray._raylet import GcsClient +from ray._private.test_utils import ( + wait_for_condition, + wait_for_dashboard_agent_available, +) from ray.dashboard.tests.conftest import * # noqa _RAY_EVENT_PORT = 12345 @@ -19,19 +19,6 @@ def httpserver_listen_address(): return ("127.0.0.1", _RAY_EVENT_PORT) -def wait_for_dashboard_agent_available(cluster): - gcs_client = GcsClient(address=cluster.address) - - def get_dashboard_agent_address(): - return gcs_client.internal_kv_get( - f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), - namespace=ray_constants.KV_NAMESPACE_DASHBOARD, - timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, - ) - - wait_for_condition(lambda: get_dashboard_agent_address() is not None) - - def test_ray_node_events(ray_start_cluster, httpserver): cluster = ray_start_cluster cluster.add_node( diff --git a/python/ray/tests/test_task_metrics.py b/python/ray/tests/test_task_metrics.py index b49a3d2b17cf..b58756cff817 100644 --- a/python/ray/tests/test_task_metrics.py +++ b/python/ray/tests/test_task_metrics.py @@ -14,6 +14,7 @@ run_string_as_driver, run_string_as_driver_nonblocking, wait_for_assertion, + wait_for_dashboard_agent_available, ) METRIC_CONFIG = { @@ -435,7 +436,7 @@ def f(): ("Phaser.inc", "FAILED", "0"): 2.0, } wait_for_condition( - lambda: tasks_by_all(info, timeseries) == expected, + lambda: expected.items() <= tasks_by_all(info, timeseries).items(), timeout=20, retry_interval_ms=500, ) @@ -489,7 +490,7 @@ def f(self): ("Phaser.inc", "FINISHED", "0"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info, timeseries) == expected, + lambda: expected.items() <= tasks_by_all(info, timeseries).items(), timeout=20, retry_interval_ms=500, ) @@ -566,8 +567,14 @@ async def f(self): @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") -def test_metrics_export_now(shutdown_only): - info = ray.init(num_cpus=2, **SLOW_METRIC_CONFIG) +def test_metrics_export_now(shutdown_only, ray_start_cluster): + cluster = ray_start_cluster + cluster.add_node( + **SLOW_METRIC_CONFIG, + num_cpus=2, + ) + wait_for_dashboard_agent_available(cluster) + info = ray.init(address=cluster.address) timeseries = PrometheusTimeseries() driver = """ import ray @@ -734,7 +741,7 @@ def f(self): ("Phaser.inc", "FINISHED", "0"): 1.0, } wait_for_condition( - lambda: tasks_by_all(info, timeseries) == expected, + lambda: expected.items() <= tasks_by_all(info, timeseries).items(), timeout=20, retry_interval_ms=500, ) From d3f98e14caa05aff8c531f061d210f033470aed8 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 22 Sep 2025 16:29:06 -0700 Subject: [PATCH 1333/1566] [deps] ban click 8.3.0 (#56789) it does not work with `copy.deepcopy` on python 3.10 due to https://github.com/pallets/click/issues/3065 mitigates https://github.com/ray-project/ray/issues/56747 for next release Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 2 +- python/requirements.txt | 4 +++- python/setup.py | 4 +++- 3 files changed, 7 insertions(+), 3 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 665d74dda90e..1c9ada28245d 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -287,7 +287,7 @@ steps: - minbuild-core matrix: - "3.9" - # - "3.10" # miniforge Python 3.10 seems to be broken.. + - "3.10" - "3.11" - "3.12" - "3.13" diff --git a/python/requirements.txt b/python/requirements.txt index ac13f72f2d67..847cd6389b0e 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -7,7 +7,9 @@ # You can obtain this list from the ray.egg-info/requires.txt ## setup.py install_requires -click>=7.0 +# Click 8.3.0 does not work with copy.deepcopy on Python 3.10 +# TODO(aslonnie): https://github.com/ray-project/ray/issues/56747 +click>=7.0, !=8.3.0 cupy-cuda12x; sys_platform != 'darwin' filelock jsonschema diff --git a/python/setup.py b/python/setup.py index 3bfa0b90ae92..a96d66419e30 100644 --- a/python/setup.py +++ b/python/setup.py @@ -395,7 +395,9 @@ def get_packages(self): # new releases candidates. if setup_spec.type == SetupType.RAY: setup_spec.install_requires = [ - "click >= 7.0", + # Click 8.3.0 does not work with copy.deepcopy on Python 3.10 + # TODO(aslonnie): https://github.com/ray-project/ray/issues/56747 + "click>=7.0, !=8.3.0", "filelock", "jsonschema", "msgpack >= 1.0.0, < 2.0.0", From 9d35425d36ddbeb5fb53cab9aa7c554b8b6e0d35 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 22 Sep 2025 17:24:43 -0700 Subject: [PATCH 1334/1566] [ci] upgrade rayci (#56791) - wanda now supports build hint args - and also supports globbing source files getting ready for building wheels will higher-level caching. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .rayciversion | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.rayciversion b/.rayciversion index c5523bd09b18..1cf0537c3438 100644 --- a/.rayciversion +++ b/.rayciversion @@ -1 +1 @@ -0.17.0 +0.19.0 From b0010db2d78498ef4896f0fbe001e586221c9830 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 22 Sep 2025 17:25:47 -0700 Subject: [PATCH 1335/1566] [train][release-test] Migrate xgboost/lgbm benchmarks to train V2 (#56792) Run the xgboost/lightgbm release tests with V2 environment variable enabled. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 126 ++---------------- ...s_10workers.yaml => compute_aws_100G.yaml} | 0 ..._aws_1worker.yaml => compute_aws_10G.yaml} | 0 .../compute_gce_10workers.yaml | 28 ---- .../xgboost_lightgbm/compute_gce_1worker.yaml | 28 ---- .../train_batch_inference_benchmark.py | 11 +- 6 files changed, 11 insertions(+), 182 deletions(-) rename release/train_tests/xgboost_lightgbm/{compute_aws_10workers.yaml => compute_aws_100G.yaml} (100%) rename release/train_tests/xgboost_lightgbm/{compute_aws_1worker.yaml => compute_aws_10G.yaml} (100%) delete mode 100644 release/train_tests/xgboost_lightgbm/compute_gce_10workers.yaml delete mode 100644 release/train_tests/xgboost_lightgbm/compute_gce_1worker.yaml diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 295677be719f..5e1695f910ec 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -1839,135 +1839,25 @@ alert: default -- name: xgboost_train_batch_inference_benchmark_10G +- name: "{{framework}}_train_batch_inference_benchmark_{{size}}" group: Train tests working_dir: train_tests/xgboost_lightgbm - frequency: nightly - team: ml - cluster: - byod: - type: gpu - cluster_compute: compute_aws_1worker.yaml - - run: - timeout: 36000 - script: python train_batch_inference_benchmark.py "xgboost" --size=10G - - wait_for_nodes: - num_nodes: 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_1worker.yaml - - smoke_test: - frequency: manual - - run: - timeout: 1800 - - alert: default - -- name: xgboost_train_batch_inference_benchmark_100G - group: Train tests - working_dir: train_tests/xgboost_lightgbm - - frequency: nightly-3x - team: ml - cluster: - byod: - type: gpu - cluster_compute: compute_aws_10workers.yaml - - run: - timeout: 36000 - script: python train_batch_inference_benchmark.py "xgboost" --size=100G - - wait_for_nodes: - num_nodes: 11 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_10workers.yaml - - smoke_test: - frequency: manual - - run: - timeout: 1800 - - alert: default - - -- name: lightgbm_train_batch_inference_benchmark_10G - group: Train tests - working_dir: train_tests/xgboost_lightgbm - - frequency: nightly - team: ml - cluster: - byod: - type: gpu - cluster_compute: compute_aws_1worker.yaml - - run: - timeout: 36000 - script: python train_batch_inference_benchmark.py "lightgbm" --size=10G - - wait_for_nodes: - num_nodes: 2 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_1worker.yaml - - smoke_test: - frequency: manual - - run: - timeout: 1800 - - alert: default - - -- name: lightgbm_train_batch_inference_benchmark_100G - group: Train tests - working_dir: train_tests/xgboost_lightgbm + matrix: + setup: + framework: [xgboost, lightgbm] + size: [10G, 100G] frequency: nightly-3x team: ml cluster: byod: type: gpu - cluster_compute: compute_aws_10workers.yaml + cluster_compute: compute_aws_{{size}}.yaml run: - timeout: 36000 - script: python train_batch_inference_benchmark.py "lightgbm" --size=100G - - wait_for_nodes: - num_nodes: 11 - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: compute_gce_10workers.yaml + timeout: 1800 + script: RAY_TRAIN_V2_ENABLED=1 python train_batch_inference_benchmark.py "{{framework}}" --size={{size}} smoke_test: frequency: manual diff --git a/release/train_tests/xgboost_lightgbm/compute_aws_10workers.yaml b/release/train_tests/xgboost_lightgbm/compute_aws_100G.yaml similarity index 100% rename from release/train_tests/xgboost_lightgbm/compute_aws_10workers.yaml rename to release/train_tests/xgboost_lightgbm/compute_aws_100G.yaml diff --git a/release/train_tests/xgboost_lightgbm/compute_aws_1worker.yaml b/release/train_tests/xgboost_lightgbm/compute_aws_10G.yaml similarity index 100% rename from release/train_tests/xgboost_lightgbm/compute_aws_1worker.yaml rename to release/train_tests/xgboost_lightgbm/compute_aws_10G.yaml diff --git a/release/train_tests/xgboost_lightgbm/compute_gce_10workers.yaml b/release/train_tests/xgboost_lightgbm/compute_gce_10workers.yaml deleted file mode 100644 index 1993846d208c..000000000000 --- a/release/train_tests/xgboost_lightgbm/compute_gce_10workers.yaml +++ /dev/null @@ -1,28 +0,0 @@ -cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} -region: us-west1 -allowed_azs: - - us-west1-b - -max_workers: 10 - -head_node_type: - name: head_node - instance_type: n1-standard-8 - resources: - cpu: 0 - - -worker_node_types: - - name: worker_node - instance_type: n1-standard-16 - max_workers: 10 - min_workers: 10 - use_spot: false - -gcp_advanced_configurations_json: - instance_properties: - disks: - - boot: true - auto_delete: true - initialize_params: - disk_size_gb: 250 diff --git a/release/train_tests/xgboost_lightgbm/compute_gce_1worker.yaml b/release/train_tests/xgboost_lightgbm/compute_gce_1worker.yaml deleted file mode 100644 index 76fa5f468a46..000000000000 --- a/release/train_tests/xgboost_lightgbm/compute_gce_1worker.yaml +++ /dev/null @@ -1,28 +0,0 @@ -cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} -region: us-west1 -allowed_azs: - - us-west1-b - -max_workers: 10 - -head_node_type: - name: head_node - instance_type: n1-standard-8 - resources: - cpu: 0 - - -worker_node_types: - - name: worker_node - instance_type: n1-standard-16 - max_workers: 1 - min_workers: 1 - use_spot: false - -gcp_advanced_configurations_json: - instance_properties: - disks: - - boot: true - auto_delete: true - initialize_params: - disk_size_gb: 200 diff --git a/release/train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py b/release/train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py index e13463c816ae..8d9ae2835aed 100644 --- a/release/train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py +++ b/release/train_tests/xgboost_lightgbm/train_batch_inference_benchmark.py @@ -65,7 +65,6 @@ def __call__(self, data: pd.DataFrame) -> Dict[str, np.ndarray]: def xgboost_train_loop_function(config: Dict): - # 1. Get the dataset shard for the worker and convert to a `xgboost.DMatrix` train_ds_iter = ray.train.get_dataset_shard("train") train_df = train_ds_iter.materialize().to_pandas() @@ -74,9 +73,6 @@ def xgboost_train_loop_function(config: Dict): dtrain = xgb.DMatrix(train_X, label=train_y) - # 2. Do distributed data-parallel training. - # Ray Train sets up the necessary coordinator processes and - # environment variables for your workers to communicate with each other. report_callback = config["report_callback_cls"] xgb.train( params, @@ -87,7 +83,6 @@ def xgboost_train_loop_function(config: Dict): def lightgbm_train_loop_function(config: Dict): - # 1. Get the dataset shard for the worker and convert to a DataFrame train_ds_iter = ray.train.get_dataset_shard("train") train_df = train_ds_iter.materialize().to_pandas() @@ -95,10 +90,10 @@ def lightgbm_train_loop_function(config: Dict): train_X, train_y = train_df.drop(label_column, axis=1), train_df[label_column] train_set = lgb.Dataset(train_X, label=train_y) - # 2. Do distributed data-parallel training. - # Ray Train sets up the necessary coordinator processes and - # environment variables for your workers to communicate with each other. report_callback = config["report_callback_cls"] + network_params = ray.train.lightgbm.get_network_params() + params.update(network_params) + lgb.train( params, train_set=train_set, From 72dc0d2baee7d88b1a00ae7044ab9aa18ddbc5ed Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 22 Sep 2025 18:49:55 -0700 Subject: [PATCH 1336/1566] [image] add ray-llm and ray-ml extra images (#56800) with extra goodies and are runnable directly on anyscale Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 36 ++++++++++++++++++++++++++ ci/ray_ci/builder.py | 6 ++--- ci/ray_ci/docker_container.py | 26 +++++++++++++++---- ci/ray_ci/ray_docker_container.py | 17 ++++++------ ci/ray_ci/test_ray_docker_container.py | 24 +++++++++++++++++ 5 files changed, 92 insertions(+), 17 deletions(-) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 85b05020516d..99f4800a16f3 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -112,6 +112,22 @@ steps: matrix: - "3.11" + - label: ":tapioca: build: ray-llm-extra py{{matrix}} docker (x86_64)" + tags: + - python_dependencies + - docker + - oss + instance_type: medium + commands: + - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} + --platform cu12.8.1-cudnn --image-type ray-llm-extra --upload + depends_on: + - manylinux + - forge + - ray-llmbaseextra + matrix: + - "3.11" + - label: ":tapioca: build: ray-ml py{{matrix}} docker (x86_64)" tags: - python_dependencies @@ -132,6 +148,26 @@ steps: - "3.10" - "3.11" + - label: ":tapioca: build: ray-ml-extra py{{matrix}} docker (x86_64)" + tags: + - python_dependencies + - docker + - oss + instance_type: medium + commands: + - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} + --platform cu12.1.1-cudnn8 --platform cpu --image-type ray-ml-extra + --upload + depends_on: + - manylinux + - forge + - ray-mlcpubaseextra + - ray-mlcudabaseextra + matrix: + - "3.9" + - "3.10" + - "3.11" + - label: ":tapioca: smoke test build-docker.sh" tags: - python_dependencies diff --git a/ci/ray_ci/builder.py b/ci/ray_ci/builder.py index 03eabc4f5757..2b56472aa89e 100644 --- a/ci/ray_ci/builder.py +++ b/ci/ray_ci/builder.py @@ -11,7 +11,7 @@ BuilderContainer, ) from ci.ray_ci.container import _DOCKER_ECR_REPO -from ci.ray_ci.docker_container import PLATFORMS_RAY +from ci.ray_ci.docker_container import PLATFORMS_RAY, RayType from ci.ray_ci.ray_docker_container import RayDockerContainer from ci.ray_ci.utils import ci_init, ecr_docker_login, logger from ci.ray_ci.windows_builder_container import WindowsBuilderContainer @@ -25,8 +25,8 @@ ) @click.option( "--image-type", - default="ray", - type=click.Choice(["ray", "ray-extra", "ray-llm", "ray-ml"]), + default=RayType.RAY.value, + type=click.Choice([v.value for v in list(RayType)]), ) @click.option( "--build-type", diff --git a/ci/ray_ci/docker_container.py b/ci/ray_ci/docker_container.py index 2f81a44f9694..53802853d6bd 100644 --- a/ci/ray_ci/docker_container.py +++ b/ci/ray_ci/docker_container.py @@ -1,7 +1,7 @@ import os from datetime import datetime from enum import Enum -from typing import List +from typing import Dict, List from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, DEFAULT_PYTHON_VERSION from ci.ray_ci.linux_container import LinuxContainer @@ -36,7 +36,19 @@ class RayType(str, Enum): RAY = "ray" RAY_EXTRA = "ray-extra" RAY_ML = "ray-ml" + RAY_ML_EXTRA = "ray-ml-extra" RAY_LLM = "ray-llm" + RAY_LLM_EXTRA = "ray-llm-extra" + + +RAY_REPO_MAP: Dict[str, str] = { + RayType.RAY.value: RayType.RAY.value, + RayType.RAY_ML.value: RayType.RAY_ML.value, + RayType.RAY_LLM.value: RayType.RAY_LLM.value, + RayType.RAY_EXTRA.value: RayType.RAY.value, + RayType.RAY_ML_EXTRA.value: RayType.RAY_ML.value, + RayType.RAY_LLM_EXTRA.value: RayType.RAY_LLM.value, +} class DockerContainer(LinuxContainer): @@ -55,11 +67,11 @@ def __init__( ) -> None: assert "RAYCI_CHECKOUT_DIR" in os.environ, "RAYCI_CHECKOUT_DIR not set" - if image_type == RayType.RAY_ML: + if image_type in [RayType.RAY_ML, RayType.RAY_ML_EXTRA]: assert python_version in PYTHON_VERSIONS_RAY_ML assert platform in PLATFORMS_RAY_ML assert architecture in ARCHITECTURES_RAY_ML - elif image_type == RayType.RAY_LLM: + elif image_type in [RayType.RAY_LLM, RayType.RAY_LLM_EXTRA]: assert python_version in PYTHON_VERSIONS_RAY_LLM assert platform in PLATFORMS_RAY_LLM assert architecture in ARCHITECTURES_RAY_LLM @@ -159,7 +171,7 @@ def _get_image_tags(self, external: bool = False) -> List[str]: elif self.platform == GPU_PLATFORM: # gpu is alias to cu118 for ray image platforms.append("-gpu") - if self.image_type == RayType.RAY_ML: + if self.image_type in [RayType.RAY_ML, RayType.RAY_ML_EXTRA]: # no tag is alias to gpu for ray-ml image platforms.append("") @@ -168,7 +180,11 @@ def _get_image_tags(self, external: bool = False) -> List[str]: py_versions.append("") variation = "" - if self.image_type == RayType.RAY_EXTRA: + if self.image_type in [ + RayType.RAY_EXTRA, + RayType.RAY_ML_EXTRA, + RayType.RAY_LLM_EXTRA, + ]: variation = "-extra" tags = [] diff --git a/ci/ray_ci/ray_docker_container.py b/ci/ray_ci/ray_docker_container.py index e9c5d889a35b..76c858fc5eb8 100644 --- a/ci/ray_ci/ray_docker_container.py +++ b/ci/ray_ci/ray_docker_container.py @@ -5,7 +5,7 @@ from ci.ray_ci.builder_container import DEFAULT_ARCHITECTURE, PYTHON_VERSIONS from ci.ray_ci.container import _DOCKER_ECR_REPO -from ci.ray_ci.docker_container import DockerContainer, RayType +from ci.ray_ci.docker_container import RAY_REPO_MAP, DockerContainer, RayType from ci.ray_ci.utils import RAY_VERSION, docker_pull @@ -21,7 +21,11 @@ def run(self, base: Optional[str] = None) -> None: assert "RAYCI_BUILD_ID" in os.environ, "RAYCI_BUILD_ID not set" rayci_build_id = os.environ["RAYCI_BUILD_ID"] if base is None: - if self.image_type == RayType.RAY_EXTRA: + if self.image_type in [ + RayType.RAY_EXTRA.value, + RayType.RAY_ML_EXTRA.value, + RayType.RAY_LLM_EXTRA.value, + ]: base = "base-extra" else: base = "base" @@ -31,10 +35,7 @@ def run(self, base: Optional[str] = None) -> None: else: suffix = f"{base}-{self.architecture}" - image_repo = self.image_type - if image_repo == RayType.RAY_EXTRA: - # Ray extra is a variation of ray, but with a different base suffix. - image_repo = RayType.RAY + image_repo = RAY_REPO_MAP[self.image_type] base_image = ( f"{_DOCKER_ECR_REPO}:{rayci_build_id}" @@ -83,9 +84,7 @@ def _should_upload(self) -> bool: ) def _get_image_names(self) -> List[str]: - repo_name = self.image_type - if self.image_type == RayType.RAY_EXTRA: - repo_name = RayType.RAY + repo_name = RAY_REPO_MAP[self.image_type] ray_repo = f"rayproject/{repo_name}" return [f"{ray_repo}:{tag}" for tag in self._get_image_tags(external=True)] diff --git a/ci/ray_ci/test_ray_docker_container.py b/ci/ray_ci/test_ray_docker_container.py index ba027d8ba837..4b491efa77ec 100644 --- a/ci/ray_ci/test_ray_docker_container.py +++ b/ci/ray_ci/test_ray_docker_container.py @@ -381,6 +381,19 @@ def test_get_image_name(self) -> None: f"rayproject/ray-llm:nightly-{pv}-cu128", ] + container = RayDockerContainer(v, "cu12.8.1-cudnn", "ray-llm-extra") + with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "daytime"}): + assert container._get_image_names() == [ + f"rayproject/ray-llm:{sha}-extra-{pv}-cu128", + f"rayproject/ray-llm:{rayci_build_id}-extra-{pv}-cu128", + ] + + with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "nightly"}): + assert container._get_image_names() == [ + f"rayproject/ray-llm:nightly.{formatted_date}.{sha}-extra-{pv}-cu128", + f"rayproject/ray-llm:nightly-extra-{pv}-cu128", + ] + v = self.get_non_default_python() pv = self.get_python_version(v) container = RayDockerContainer(v, "cu12.1.1-cudnn8", "ray-ml") @@ -404,6 +417,17 @@ def test_get_image_name(self) -> None: f"rayproject/ray-ml:nightly-{pv}", ] + container = RayDockerContainer(v, "cu12.1.1-cudnn8", "ray-ml-extra") + with mock.patch.dict(os.environ, {"RAYCI_SCHEDULE": "daytime"}): + assert container._get_image_names() == [ + f"rayproject/ray-ml:{sha}-extra-{pv}-cu121", + f"rayproject/ray-ml:{sha}-extra-{pv}-gpu", + f"rayproject/ray-ml:{sha}-extra-{pv}", + f"rayproject/ray-ml:{rayci_build_id}-extra-{pv}-cu121", + f"rayproject/ray-ml:{rayci_build_id}-extra-{pv}-gpu", + f"rayproject/ray-ml:{rayci_build_id}-extra-{pv}", + ] + release_version = "1.0.0" with mock.patch.dict( os.environ, {"BUILDKITE_BRANCH": f"releases/{release_version}"} From 7566fc3b0bee286be6c7d92a92e62dd0b89545db Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 22 Sep 2025 20:26:18 -0700 Subject: [PATCH 1337/1566] [ci] raydepsets: build-placeholder-wheel script as prehook (#56547) converting build placeholder wheel script to a prehook script for the ray img dependency set --------- Signed-off-by: elliot-barn Signed-off-by: Elliot Barnwell Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .buildkite/dependencies.rayci.yml | 3 - ci/build/build-placeholder-wheel.sh | 11 --- .../pre_hooks/build-placeholder-wheel.sh | 13 ++++ ci/raydepsets/rayimg.depsets.yaml | 4 +- ci/raydepsets/tests/test_cli.py | 72 +++++++++---------- .../tests/test_data/test.depsets.yaml | 9 ++- ci/raydepsets/tests/test_workspace.py | 2 +- 7 files changed, 60 insertions(+), 54 deletions(-) delete mode 100755 ci/build/build-placeholder-wheel.sh create mode 100755 ci/raydepsets/pre_hooks/build-placeholder-wheel.sh diff --git a/.buildkite/dependencies.rayci.yml b/.buildkite/dependencies.rayci.yml index ab8217bfa214..7872fc6a2b1a 100644 --- a/.buildkite/dependencies.rayci.yml +++ b/.buildkite/dependencies.rayci.yml @@ -35,9 +35,6 @@ steps: tags: always instance_type: medium commands: - # build placeholder wheel for all python versions - - bash ci/build/build-placeholder-wheel.sh - # compile rayimg dependencies - bazel run //ci/raydepsets:raydepsets -- build ci/raydepsets/rayimg.depsets.yaml --check job_env: manylinux depends_on: manylinux diff --git a/ci/build/build-placeholder-wheel.sh b/ci/build/build-placeholder-wheel.sh deleted file mode 100755 index effa117c3da8..000000000000 --- a/ci/build/build-placeholder-wheel.sh +++ /dev/null @@ -1,11 +0,0 @@ -#!/bin/bash - -set -exuo pipefail - -export RAY_DEBUG_BUILD=deps-only - -PYTHON_VERSIONS=("3.9" "3.10" "3.11" "3.12") - -for PYTHON_VERSION in "${PYTHON_VERSIONS[@]}"; do - uv build --wheel --directory python/ -o ../.whl/ --force-pep517 --python "$PYTHON_VERSION" -done diff --git a/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh b/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh new file mode 100755 index 000000000000..103271745687 --- /dev/null +++ b/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +set -exuo pipefail + +if [[ -z "$1" ]]; then + echo "Usage: $0 " >&2 + exit 1 +fi +PYTHON_VERSION=$1 + +export RAY_DEBUG_BUILD=deps-only + +uv build --wheel --directory python/ -o ../.whl/ --force-pep517 --python "$PYTHON_VERSION" diff --git a/ci/raydepsets/rayimg.depsets.yaml b/ci/raydepsets/rayimg.depsets.yaml index 88b0a3d341de..9e5d2374b726 100644 --- a/ci/raydepsets/rayimg.depsets.yaml +++ b/ci/raydepsets/rayimg.depsets.yaml @@ -16,7 +16,7 @@ build_arg_sets: depsets: - name: ray_img_depset_${PYTHON_SHORT} packages: - - ray[all]==100.0.0-dev + - ray[all]==100.0.0.dev0 constraints: - python/requirements_compiled.txt output: python/deplocks/ray_img/ray_img_py${PYTHON_SHORT}.lock @@ -29,3 +29,5 @@ depsets: - py310 - py311 - py312 + pre_hooks: + - ci/raydepsets/pre_hooks/build-placeholder-wheel.sh ${PYTHON_VERSION} diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index a386f162d725..010c06a3a7b7 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -50,6 +50,23 @@ def _create_test_manager( ) +def _invoke_build(tmpdir: str, config_path: str, name: Optional[str] = None): + uv_cache_dir = Path(tmpdir) / "uv_cache" + cmd = [ + config_path, + "--workspace-dir", + tmpdir, + "--uv-cache-dir", + uv_cache_dir.as_posix(), + ] + if name: + cmd.extend(["--name", name]) + return CliRunner().invoke( + build, + cmd, + ) + + def _overwrite_config_file(tmpdir: str, depset: Depset): with open(Path(tmpdir) / "test.depsets.yaml", "w") as f: f.write( @@ -70,14 +87,7 @@ class TestCli(unittest.TestCase): def test_cli_load_fail_no_config(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) - result = CliRunner().invoke( - build, - [ - "fake_path/test.depsets.yaml", - "--workspace-dir", - tmpdir, - ], - ) + result = _invoke_build(tmpdir, "fake_path/test.depsets.yaml") assert result.exit_code == 1 assert isinstance(result.exception, FileNotFoundError) assert "No such file or directory" in str(result.exception) @@ -186,19 +196,7 @@ def test_compile_with_append_and_override_flags(self): def test_compile_by_depset_name(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) - uv_cache_dir = Path(tmpdir) / "uv_cache" - result = CliRunner().invoke( - build, - [ - "test.depsets.yaml", - "--workspace-dir", - tmpdir, - "--name", - "ray_base_test_depset", - "--uv-cache-dir", - uv_cache_dir.as_posix(), - ], - ) + result = _invoke_build(tmpdir, "test.depsets.yaml", "ray_base_test_depset") output_fp = Path(tmpdir) / "requirements_compiled.txt" assert output_fp.is_file() assert result.exit_code == 0 @@ -387,8 +385,8 @@ def test_build_graph(self): copy_data_to_tmpdir(tmpdir) manager = _create_test_manager(tmpdir) assert manager.build_graph is not None - assert len(manager.build_graph.nodes()) == 8 - assert len(manager.build_graph.edges()) == 4 + assert len(manager.build_graph.nodes()) == 10 + assert len(manager.build_graph.edges()) == 5 # assert that the compile depsets are first assert ( manager.build_graph.nodes["general_depset__py311_cpu"]["operation"] @@ -584,24 +582,24 @@ def test_get_depset_with_build_arg_set_and_no_build_arg_set_provided(self): def test_execute_single_pre_hook(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) - manager = _create_test_manager(tmpdir) - manager.execute_pre_hook("pre-hook-test.sh") + result = _invoke_build(tmpdir, "test.depsets.yaml", "pre_hook_test_depset") + assert (Path(tmpdir) / "test.depsets.yaml").exists() + assert result.exit_code == 0 + assert "Pre-hook test" in result.output + assert "Executed pre_hook pre-hook-test.sh successfully" in result.output def test_execute_single_invalid_pre_hook(self): with tempfile.TemporaryDirectory() as tmpdir: copy_data_to_tmpdir(tmpdir) - manager = _create_test_manager(tmpdir) - with self.assertRaises(RuntimeError): - manager.execute_pre_hook("pre-hook-error-test.sh") - - def test_execute_pre_hooks_failure_in_middle(self): - with tempfile.TemporaryDirectory() as tmpdir: - copy_data_to_tmpdir(tmpdir) - manager = _create_test_manager(tmpdir) - with self.assertRaises(RuntimeError): - manager.execute_pre_hook("pre-hook-test.sh") - manager.execute_pre_hook("pre-hook-error-test.sh") - manager.execute_pre_hook("pre-hook-test.sh") + result = _invoke_build( + tmpdir, "test.depsets.yaml", "pre_hook_invalid_test_depset" + ) + assert result.exit_code == 1 + assert isinstance(result.exception, RuntimeError) + assert ( + "Failed to execute pre_hook pre-hook-error-test.sh with error:" + in str(result.exception) + ) def test_copy_lock_files_to_temp_dir(self): with tempfile.TemporaryDirectory() as tmpdir: diff --git a/ci/raydepsets/tests/test_data/test.depsets.yaml b/ci/raydepsets/tests/test_data/test.depsets.yaml index b24bbb54f7be..c606c9a4530f 100644 --- a/ci/raydepsets/tests/test_data/test.depsets.yaml +++ b/ci/raydepsets/tests/test_data/test.depsets.yaml @@ -57,4 +57,11 @@ depsets: - requirements_test.txt output: requirements_compiled_pre_hook.txt pre_hooks: - - pre-hook-test.sh test + - pre-hook-test.sh + - name: pre_hook_invalid_test_depset + operation: compile + requirements: + - requirements_test.txt + output: requirements_compiled_pre_hook.txt + pre_hooks: + - pre-hook-error-test.sh diff --git a/ci/raydepsets/tests/test_workspace.py b/ci/raydepsets/tests/test_workspace.py index 3d0639158a0f..a79ce82d4b60 100644 --- a/ci/raydepsets/tests/test_workspace.py +++ b/ci/raydepsets/tests/test_workspace.py @@ -74,7 +74,7 @@ def test_parse_pre_hooks(): workspace = Workspace(dir=tmpdir) config = workspace.load_config(path=Path(tmpdir) / "test.depsets.yaml") pre_hook_depset = get_depset_by_name(config.depsets, "pre_hook_test_depset") - assert pre_hook_depset.pre_hooks == ["pre-hook-test.sh test"] + assert pre_hook_depset.pre_hooks == ["pre-hook-test.sh"] if __name__ == "__main__": From 479e4cfc6411872903a6eeffec69369cd34e4d0e Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Tue, 23 Sep 2025 01:04:09 -0400 Subject: [PATCH 1338/1566] [Data] Fixing flaky tests (ordering) (#56819) ## Why are these changes needed? Subject ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_split.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/tests/test_split.py b/python/ray/data/tests/test_split.py index 4b60f96c40ee..7865bc7beea1 100644 --- a/python/ray/data/tests/test_split.py +++ b/python/ray/data/tests/test_split.py @@ -264,7 +264,7 @@ def test_split_at_indices_coverage( # indices configurations. ds = ray.data.range(20, override_num_blocks=num_blocks) splits = ds.split_at_indices(indices) - r = [extract_values("id", s.take_all()) for s in splits] + r = [extract_values("id", s.sort("id").take_all()) for s in splits] # Use np.array_split() semantics as our correctness ground-truth. assert r == [arr.tolist() for arr in np.array_split(list(range(20)), indices)] From a0568eb48f12e78ea80669c2720d786237219455 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Mon, 22 Sep 2025 22:13:19 -0700 Subject: [PATCH 1339/1566] [core] Remove unnecessary grpc dependencies in bazel targets (#56762) Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 4 +- .../{gcs_callbacks.h => gcs_callback_types.h} | 0 src/ray/core_worker/BUILD.bazel | 5 ++- src/ray/core_worker/actor_creator.h | 1 + .../experimental_mutable_object_provider.h | 1 + src/ray/core_worker/grpc_service.h | 2 +- .../memory_store/memory_store.cc | 1 + .../core_worker/task_execution/BUILD.bazel | 11 +++-- .../task_execution/actor_scheduling_queue.h | 2 +- .../task_execution/normal_scheduling_queue.h | 2 +- .../out_of_order_actor_scheduling_queue.h | 2 +- .../task_execution/scheduling_queue.h | 2 +- .../task_execution/scheduling_util.h | 2 +- .../task_execution/task_receiver.h | 2 +- src/ray/gcs/BUILD.bazel | 3 +- src/ray/gcs/gcs_worker_manager.h | 1 + src/ray/gcs/grpc_services.h | 2 +- src/ray/gcs/pubsub_handler.h | 1 + src/ray/gcs/store_client/BUILD.bazel | 2 +- src/ray/gcs/store_client/store_client.h | 2 +- src/ray/gcs_client/BUILD.bazel | 2 +- src/ray/gcs_client/accessor.h | 4 +- src/ray/object_manager/BUILD.bazel | 1 - src/ray/object_manager/grpc_client_manager.h | 3 +- src/ray/pubsub/BUILD.bazel | 23 ++++------- src/ray/pubsub/fake_subscriber.h | 1 + src/ray/pubsub/gcs_subscriber.h | 2 +- src/ray/pubsub/publisher.h | 2 +- src/ray/pubsub/publisher_interface.h | 2 +- src/ray/pubsub/subscriber.h | 2 +- src/ray/pubsub/subscriber_interface.h | 2 +- src/ray/pubsub/tests/BUILD.bazel | 1 + .../pubsub/tests/pubsub_integration_test.cc | 2 - src/ray/raylet/scheduling/BUILD.bazel | 2 +- .../cluster_lease_manager_interface.h | 2 +- src/ray/raylet/worker.h | 4 ++ src/ray/rpc/BUILD.bazel | 20 +++++++-- src/ray/rpc/client_call.h | 7 +--- .../rpc/node_manager/node_manager_server.h | 3 +- src/ray/rpc/object_manager/BUILD.bazel | 1 - .../object_manager/object_manager_server.h | 3 +- src/ray/rpc/raylet/fake_raylet_client.h | 2 +- src/ray/rpc/retryable_grpc_client.h | 2 +- src/ray/rpc/rpc_callback_types.h | 41 +++++++++++++++++++ src/ray/rpc/server_call.h | 11 +---- src/ray/rpc/tests/grpc_bench/BUILD.bazel | 1 - src/ray/rpc/tests/grpc_bench/grpc_bench.cc | 3 +- src/ray/stats/metric_exporter.h | 2 +- 48 files changed, 123 insertions(+), 76 deletions(-) rename src/ray/common/{gcs_callbacks.h => gcs_callback_types.h} (100%) create mode 100644 src/ray/rpc/rpc_callback_types.h diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index bcb3183bfb48..6ea59712ed3d 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -415,8 +415,8 @@ ray_cc_library( ) ray_cc_library( - name = "gcs_callbacks", - hdrs = ["gcs_callbacks.h"], + name = "gcs_callback_types", + hdrs = ["gcs_callback_types.h"], deps = [ "//src/ray/common:status", ], diff --git a/src/ray/common/gcs_callbacks.h b/src/ray/common/gcs_callback_types.h similarity index 100% rename from src/ray/common/gcs_callbacks.h rename to src/ray/common/gcs_callback_types.h diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 8f94b27e3aa0..b71c4b3ff39d 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -79,7 +79,7 @@ ray_cc_library( "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/rpc:grpc_server", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -161,6 +161,7 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/gcs_client", + "//src/ray/util:thread_utils", ], ) @@ -263,6 +264,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/rpc:utils", + "//src/ray/stats:stats_metric", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -342,6 +344,7 @@ ray_cc_library( hdrs = ["experimental_mutable_object_provider.h"], deps = [ ":experimental_mutable_object_manager", + "//src/ray/common:asio", "//src/ray/rpc:client_call", "//src/ray/rpc:raylet_client_interface", ], diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index e34751f1f116..4027ed8ac6a9 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -19,6 +19,7 @@ #include #include "ray/gcs_client/accessor.h" +#include "ray/util/thread_utils.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index 085f8994cfea..86aa185cc6be 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -17,6 +17,7 @@ #include #include +#include "ray/common/asio/instrumented_io_context.h" #include "ray/core_worker/experimental_mutable_object_manager.h" #include "ray/rpc/client_call.h" #include "ray/rpc/raylet/raylet_client_interface.h" diff --git a/src/ray/core_worker/grpc_service.h b/src/ray/core_worker/grpc_service.h index fdb2b09fe2c7..edae58221e9e 100644 --- a/src/ray/core_worker/grpc_service.h +++ b/src/ray/core_worker/grpc_service.h @@ -33,7 +33,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index a1ec48ce3fe5..263f0cda53c9 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -22,6 +22,7 @@ #include "ray/common/ray_config.h" #include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/stats/metric_defs.h" #include "ray/stats/tag_defs.h" namespace ray { diff --git a/src/ray/core_worker/task_execution/BUILD.bazel b/src/ray/core_worker/task_execution/BUILD.bazel index 49b0dc755cb4..841f80e7b5af 100644 --- a/src/ray/core_worker/task_execution/BUILD.bazel +++ b/src/ray/core_worker/task_execution/BUILD.bazel @@ -43,7 +43,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:task_common", "//src/ray/protobuf:common_cc_proto", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -53,7 +53,7 @@ ray_cc_library( visibility = ["//visibility:private"], deps = [ "//src/ray/common:task_common", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -67,7 +67,7 @@ ray_cc_library( ":scheduling_util", "//src/ray/common:id", "//src/ray/common:task_common", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", "@com_google_absl//absl/synchronization", ], ) @@ -87,7 +87,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/core_worker:task_event_buffer", "//src/ray/protobuf:common_cc_proto", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", @@ -110,7 +110,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/core_worker:task_event_buffer", "//src/ray/protobuf:common_cc_proto", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/synchronization", @@ -138,7 +138,6 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/core_worker:common", "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/rpc:server_call", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", ], diff --git a/src/ray/core_worker/task_execution/actor_scheduling_queue.h b/src/ray/core_worker/task_execution/actor_scheduling_queue.h index 009d444a90e8..885f60a01a9e 100644 --- a/src/ray/core_worker/task_execution/actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.h @@ -31,7 +31,7 @@ #include "ray/core_worker/task_execution/scheduling_queue.h" #include "ray/core_worker/task_execution/scheduling_util.h" #include "ray/core_worker/task_execution/thread_pool.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/task_execution/normal_scheduling_queue.h b/src/ray/core_worker/task_execution/normal_scheduling_queue.h index f34e15c20fbc..b60188606713 100644 --- a/src/ray/core_worker/task_execution/normal_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/normal_scheduling_queue.h @@ -22,7 +22,7 @@ #include "ray/common/task/task_spec.h" #include "ray/core_worker/task_execution/scheduling_queue.h" #include "ray/core_worker/task_execution/scheduling_util.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h index 46d144e5fe97..1f366bcf873a 100644 --- a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h @@ -29,7 +29,7 @@ #include "ray/core_worker/task_execution/scheduling_queue.h" #include "ray/core_worker/task_execution/scheduling_util.h" #include "ray/core_worker/task_execution/thread_pool.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_execution/scheduling_queue.h b/src/ray/core_worker/task_execution/scheduling_queue.h index ca370846f404..f8cae80f345d 100644 --- a/src/ray/core_worker/task_execution/scheduling_queue.h +++ b/src/ray/core_worker/task_execution/scheduling_queue.h @@ -15,7 +15,7 @@ #pragma once #include "ray/common/task/task_spec.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_execution/scheduling_util.h b/src/ray/core_worker/task_execution/scheduling_util.h index 6ae8c3149334..75c6d9c20f39 100644 --- a/src/ray/core_worker/task_execution/scheduling_util.h +++ b/src/ray/core_worker/task_execution/scheduling_util.h @@ -19,7 +19,7 @@ #include "ray/common/id.h" #include "ray/common/task/task_spec.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/task_execution/task_receiver.h b/src/ray/core_worker/task_execution/task_receiver.h index 157e597fd8e7..add1ecb395af 100644 --- a/src/ray/core_worker/task_execution/task_receiver.h +++ b/src/ray/core_worker/task_execution/task_receiver.h @@ -30,7 +30,7 @@ #include "ray/core_worker/task_execution/normal_scheduling_queue.h" #include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" #include "ray/core_worker/task_execution/thread_pool.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/core_worker.pb.h" namespace ray { diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 7c8caf53ca01..6cae5dc674e6 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -139,6 +139,7 @@ ray_cc_library( srcs = ["pubsub_handler.cc"], hdrs = ["pubsub_handler.h"], deps = [ + "//src/ray/common:asio", "//src/ray/gcs:grpc_service_interfaces", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", @@ -349,7 +350,7 @@ ray_cc_library( "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", "//src/ray/rpc:grpc_server", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", "@com_github_grpc_grpc//:grpc++", ], ) diff --git a/src/ray/gcs/gcs_worker_manager.h b/src/ray/gcs/gcs_worker_manager.h index 062fb25d1d3d..c3b2d8d7fff2 100644 --- a/src/ray/gcs/gcs_worker_manager.h +++ b/src/ray/gcs/gcs_worker_manager.h @@ -21,6 +21,7 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/usage_stats_client.h" #include "ray/pubsub/gcs_publisher.h" +#include "ray/stats/metric.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/grpc_services.h b/src/ray/gcs/grpc_services.h index 9a7862d334b5..d8a0899e2439 100644 --- a/src/ray/gcs/grpc_services.h +++ b/src/ray/gcs/grpc_services.h @@ -29,7 +29,7 @@ #include "ray/common/id.h" #include "ray/gcs/grpc_service_interfaces.h" #include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" diff --git a/src/ray/gcs/pubsub_handler.h b/src/ray/gcs/pubsub_handler.h index f69b8e2a50f1..4e3960df9a11 100644 --- a/src/ray/gcs/pubsub_handler.h +++ b/src/ray/gcs/pubsub_handler.h @@ -18,6 +18,7 @@ #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" +#include "ray/common/asio/instrumented_io_context.h" #include "ray/gcs/grpc_service_interfaces.h" #include "ray/pubsub/gcs_publisher.h" diff --git a/src/ray/gcs/store_client/BUILD.bazel b/src/ray/gcs/store_client/BUILD.bazel index dbf318a7ba6c..4cee4b28f58d 100644 --- a/src/ray/gcs/store_client/BUILD.bazel +++ b/src/ray/gcs/store_client/BUILD.bazel @@ -5,7 +5,7 @@ ray_cc_library( hdrs = ["store_client.h"], deps = [ "//src/ray/common:asio", - "//src/ray/common:gcs_callbacks", + "//src/ray/common:gcs_callback_types", "//src/ray/common:id", "//src/ray/common:status", ], diff --git a/src/ray/gcs/store_client/store_client.h b/src/ray/gcs/store_client/store_client.h index f9c78b0057af..77c25cfe0b93 100644 --- a/src/ray/gcs/store_client/store_client.h +++ b/src/ray/gcs/store_client/store_client.h @@ -20,7 +20,7 @@ #include "ray/common/asio/io_service_pool.h" #include "ray/common/asio/postable.h" -#include "ray/common/gcs_callbacks.h" +#include "ray/common/gcs_callback_types.h" #include "ray/common/id.h" #include "ray/common/status.h" diff --git a/src/ray/gcs_client/BUILD.bazel b/src/ray/gcs_client/BUILD.bazel index 4b416ebb7026..6986365cb3f9 100644 --- a/src/ray/gcs_client/BUILD.bazel +++ b/src/ray/gcs_client/BUILD.bazel @@ -56,8 +56,8 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", - "//src/ray/rpc:client_call", "//src/ray/rpc:retryable_grpc_client", + "//src/ray/rpc:rpc_callback_types", "//src/ray/util:network_util", "@com_google_absl//absl/container:btree", ], diff --git a/src/ray/gcs_client/accessor.h b/src/ray/gcs_client/accessor.h index 973ca76e8824..8f5bc49c0496 100644 --- a/src/ray/gcs_client/accessor.h +++ b/src/ray/gcs_client/accessor.h @@ -20,12 +20,12 @@ #include #include "absl/types/optional.h" -#include "ray/common/gcs_callbacks.h" +#include "ray/common/gcs_callback_types.h" #include "ray/common/id.h" #include "ray/common/placement_group.h" #include "ray/common/status_or.h" #include "ray/common/task/task_spec.h" -#include "ray/rpc/client_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "ray/util/sequencer.h" #include "src/ray/protobuf/autoscaler.pb.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 4462699a5641..64379cd38f00 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -119,7 +119,6 @@ ray_cc_library( hdrs = ["grpc_client_manager.h"], deps = [ "//src/ray/common:ray_config", - "//src/ray/rpc:client_call", "//src/ray/rpc:grpc_client", "@com_github_grpc_grpc//:grpc++", "@com_google_absl//absl/synchronization", diff --git a/src/ray/object_manager/grpc_client_manager.h b/src/ray/object_manager/grpc_client_manager.h index 26f41a151281..e160feb16d6e 100644 --- a/src/ray/object_manager/grpc_client_manager.h +++ b/src/ray/object_manager/grpc_client_manager.h @@ -20,7 +20,6 @@ #include "absl/synchronization/mutex.h" #include "ray/common/ray_config.h" -#include "ray/rpc/client_call.h" #include "ray/rpc/grpc_client.h" namespace ray::rpc { @@ -28,6 +27,8 @@ namespace ray::rpc { // Managers multiple gRPC clients. It's reponsible for initializing // gRPC clients with arguments, distributing requests between clients, // and destroying the clients. +class ClientCallManager; + template class GrpcClientManager { public: diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index 1fd20d08590a..f35a0b3c9069 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -4,10 +4,9 @@ ray_cc_library( name = "publisher_interface", hdrs = ["publisher_interface.h"], deps = [ + "//src/ray/common:id", "//src/ray/protobuf:pubsub_cc_grpc", - # NOTE(edoakes): we only seem to need `SendReplyCallback` from server_call.h. - # We should move that definition to its own target. - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -16,11 +15,10 @@ ray_cc_library( srcs = ["publisher.cc"], hdrs = ["publisher.h"], deps = [ + "//src/ray/common:asio", "//src/ray/protobuf:pubsub_cc_grpc", - # NOTE(edoakes): we only seem to need `SendReplyCallback` from server_call.h. - # We should move that definition to its own target. "//src/ray/pubsub:publisher_interface", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -31,11 +29,10 @@ ray_cc_library( name = "subscriber_interface", hdrs = ["subscriber_interface.h"], deps = [ + "//src/ray/common:id", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:pubsub_cc_grpc", - # NOTE(edoakes): we only seem to need `ClientCallback` from client_call.h. - # We should move that definition to its own target. - "//src/ray/rpc:client_call", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -44,11 +41,10 @@ ray_cc_library( srcs = ["subscriber.cc"], hdrs = ["subscriber.h"], deps = [ + "//src/ray/common:asio", "//src/ray/protobuf:pubsub_cc_grpc", - # NOTE(edoakes): we only seem to need `ClientCallback` from client_call.h. - # We should move that definition to its own target. - "//src/ray/rpc:client_call", "//src/ray/pubsub:subscriber_interface", + "//src/ray/rpc:rpc_callback_types", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/synchronization", @@ -62,7 +58,6 @@ ray_cc_library( deps = [ ":subscriber_interface", "//src/ray/protobuf:pubsub_cc_proto", - "//src/ray/rpc:client_call", ], ) @@ -92,7 +87,7 @@ ray_cc_library( hdrs = ["gcs_subscriber.h"], deps = [ ":subscriber_interface", - "//src/ray/common:gcs_callbacks", + "//src/ray/common:gcs_callback_types", "//src/ray/protobuf:gcs_cc_proto", ], ) diff --git a/src/ray/pubsub/fake_subscriber.h b/src/ray/pubsub/fake_subscriber.h index a48d6b1f8e4b..b19c0b36f643 100644 --- a/src/ray/pubsub/fake_subscriber.h +++ b/src/ray/pubsub/fake_subscriber.h @@ -18,6 +18,7 @@ #include #include "ray/pubsub/subscriber_interface.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace pubsub { diff --git a/src/ray/pubsub/gcs_subscriber.h b/src/ray/pubsub/gcs_subscriber.h index 31dd9a733bd0..8f4f6194b923 100644 --- a/src/ray/pubsub/gcs_subscriber.h +++ b/src/ray/pubsub/gcs_subscriber.h @@ -18,7 +18,7 @@ #include #include -#include "ray/common/gcs_callbacks.h" +#include "ray/common/gcs_callback_types.h" #include "ray/pubsub/subscriber_interface.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/pubsub/publisher.h b/src/ray/pubsub/publisher.h index dd6884612c8e..28196b374568 100644 --- a/src/ray/pubsub/publisher.h +++ b/src/ray/pubsub/publisher.h @@ -30,7 +30,7 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/pubsub/publisher_interface.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/pubsub.pb.h" namespace ray { diff --git a/src/ray/pubsub/publisher_interface.h b/src/ray/pubsub/publisher_interface.h index 35bde4fab94a..d19a11b19d1f 100644 --- a/src/ray/pubsub/publisher_interface.h +++ b/src/ray/pubsub/publisher_interface.h @@ -19,7 +19,7 @@ #include #include "ray/common/id.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/pubsub.pb.h" namespace ray { diff --git a/src/ray/pubsub/subscriber.h b/src/ray/pubsub/subscriber.h index 44920840e6da..e10d28eaed54 100644 --- a/src/ray/pubsub/subscriber.h +++ b/src/ray/pubsub/subscriber.h @@ -28,7 +28,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/pubsub/subscriber_interface.h" -#include "ray/rpc/client_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/pubsub.pb.h" diff --git a/src/ray/pubsub/subscriber_interface.h b/src/ray/pubsub/subscriber_interface.h index 4ed434da064a..f78c2f572a21 100644 --- a/src/ray/pubsub/subscriber_interface.h +++ b/src/ray/pubsub/subscriber_interface.h @@ -21,7 +21,7 @@ #include #include "ray/common/id.h" -#include "ray/rpc/client_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/pubsub.pb.h" diff --git a/src/ray/pubsub/tests/BUILD.bazel b/src/ray/pubsub/tests/BUILD.bazel index f1879f8008e6..fc1d17ffda7b 100644 --- a/src/ray/pubsub/tests/BUILD.bazel +++ b/src/ray/pubsub/tests/BUILD.bazel @@ -30,6 +30,7 @@ ray_cc_test( srcs = ["pubsub_integration_test.cc"], tags = ["team:core"], deps = [ + "//src/ray/common:grpc_util", "//src/ray/protobuf:pubsub_cc_grpc", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", diff --git a/src/ray/pubsub/tests/pubsub_integration_test.cc b/src/ray/pubsub/tests/pubsub_integration_test.cc index 9514ff6e8b86..ab9d2322ed23 100644 --- a/src/ray/pubsub/tests/pubsub_integration_test.cc +++ b/src/ray/pubsub/tests/pubsub_integration_test.cc @@ -20,9 +20,7 @@ #include "absl/synchronization/blocking_counter.h" #include "absl/synchronization/mutex.h" #include "absl/time/time.h" -#include "gmock/gmock.h" #include "gtest/gtest.h" -#include "ray/common/asio/instrumented_io_context.h" #include "ray/common/asio/io_service_pool.h" #include "ray/common/asio/periodical_runner.h" #include "ray/common/grpc_util.h" diff --git a/src/ray/raylet/scheduling/BUILD.bazel b/src/ray/raylet/scheduling/BUILD.bazel index 6d00fd1c3205..f7f8ca3d4c5c 100644 --- a/src/ray/raylet/scheduling/BUILD.bazel +++ b/src/ray/raylet/scheduling/BUILD.bazel @@ -102,7 +102,7 @@ ray_cc_library( hdrs = ["cluster_lease_manager_interface.h"], deps = [ "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/rpc:server_call", + "//src/ray/rpc:rpc_callback_types", ], ) diff --git a/src/ray/raylet/scheduling/cluster_lease_manager_interface.h b/src/ray/raylet/scheduling/cluster_lease_manager_interface.h index e8b885c7a8ad..46c57a4bdcb8 100644 --- a/src/ray/raylet/scheduling/cluster_lease_manager_interface.h +++ b/src/ray/raylet/scheduling/cluster_lease_manager_interface.h @@ -18,7 +18,7 @@ #include #include "ray/raylet/scheduling/internal.h" -#include "ray/rpc/server_call.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray { diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 1afed3e5e9f3..3d55e21f2c8f 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -28,6 +28,10 @@ namespace ray { +namespace rpc { +class ClientCallManager; +} + namespace raylet { /// \class WorkerPoolInterface diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 2207fd56c024..199b0e60cd10 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -10,8 +10,12 @@ ray_cc_library( ray_cc_library( name = "client_call", hdrs = ["client_call.h"], - visibility = ["//visibility:public"], + visibility = [ + ":__pkg__", + "//src/ray/core_worker:__pkg__", + ], deps = [ + ":rpc_callback_types", "//src/ray/common:asio", "//src/ray/common:grpc_util", "//src/ray/common:id", @@ -41,7 +45,6 @@ ray_cc_library( hdrs = ["retryable_grpc_client.h"], visibility = ["//visibility:public"], deps = [ - ":client_call", ":grpc_client", "@com_google_absl//absl/container:btree", "@com_google_absl//absl/strings:str_format", @@ -92,8 +95,9 @@ ray_cc_library( name = "server_call", srcs = ["server_call.cc"], hdrs = ["server_call.h"], - visibility = ["//visibility:public"], + visibility = ["//visibility:private"], deps = [ + ":rpc_callback_types", "//src/ray/common:asio", "//src/ray/common:grpc_util", "//src/ray/common:id", @@ -131,7 +135,6 @@ ray_cc_library( visibility = ["//visibility:public"], deps = [ ":grpc_server", - ":server_call", "//src/ray/protobuf:node_manager_cc_grpc", "@com_github_grpc_grpc//:grpc++", ], @@ -265,3 +268,12 @@ ray_cc_library( "@com_google_absl//absl/synchronization", ], ) + +ray_cc_library( + name = "rpc_callback_types", + hdrs = ["rpc_callback_types.h"], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/common:status", + ], +) diff --git a/src/ray/rpc/client_call.h b/src/ray/rpc/client_call.h index dd5c794764c9..2f1d00266691 100644 --- a/src/ray/rpc/client_call.h +++ b/src/ray/rpc/client_call.h @@ -30,6 +30,7 @@ #include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/common/status.h" +#include "ray/rpc/rpc_callback_types.h" #include "ray/stats/metric_defs.h" #include "ray/util/thread_utils.h" @@ -58,12 +59,6 @@ class ClientCall { class ClientCallManager; -/// Represents the client callback function of a particular rpc method. -/// -/// \tparam Reply Type of the reply message. -template -using ClientCallback = std::function; - /// Implementation of the `ClientCall`. It represents a `ClientCall` for a particular /// RPC method. /// diff --git a/src/ray/rpc/node_manager/node_manager_server.h b/src/ray/rpc/node_manager/node_manager_server.h index 262c72cb284b..eba08ba9b0af 100644 --- a/src/ray/rpc/node_manager/node_manager_server.h +++ b/src/ray/rpc/node_manager/node_manager_server.h @@ -19,13 +19,14 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" #include "src/ray/protobuf/node_manager.grpc.pb.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray { namespace rpc { +class ServerCallFactory; + /// TODO(vitsai): Remove this when auth is implemented for node manager #define RAY_NODE_MANAGER_RPC_SERVICE_HANDLER(METHOD) \ RPC_SERVICE_HANDLER_CUSTOM_AUTH(NodeManagerService, METHOD, -1, AuthType::NO_AUTH) diff --git a/src/ray/rpc/object_manager/BUILD.bazel b/src/ray/rpc/object_manager/BUILD.bazel index d6bf8135ac43..e710f3dfc5e6 100644 --- a/src/ray/rpc/object_manager/BUILD.bazel +++ b/src/ray/rpc/object_manager/BUILD.bazel @@ -34,7 +34,6 @@ ray_cc_library( "//src/ray/object_manager:object_manager_grpc_client_manager", "//src/ray/protobuf:object_manager_cc_grpc", "//src/ray/rpc:grpc_server", - "//src/ray/rpc:server_call", "@boost//:asio", "@com_github_grpc_grpc//:grpc++", ], diff --git a/src/ray/rpc/object_manager/object_manager_server.h b/src/ray/rpc/object_manager/object_manager_server.h index c6249a3d3692..4d294b483fff 100644 --- a/src/ray/rpc/object_manager/object_manager_server.h +++ b/src/ray/rpc/object_manager/object_manager_server.h @@ -19,13 +19,14 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" #include "src/ray/protobuf/object_manager.grpc.pb.h" #include "src/ray/protobuf/object_manager.pb.h" namespace ray { namespace rpc { +class ServerCallFactory; + #define RAY_OBJECT_MANAGER_RPC_SERVICE_HANDLER(METHOD) \ RPC_SERVICE_HANDLER_CUSTOM_AUTH(ObjectManagerService, METHOD, -1, AuthType::NO_AUTH) diff --git a/src/ray/rpc/raylet/fake_raylet_client.h b/src/ray/rpc/raylet/fake_raylet_client.h index c073540c1b78..47bc596d7e33 100644 --- a/src/ray/rpc/raylet/fake_raylet_client.h +++ b/src/ray/rpc/raylet/fake_raylet_client.h @@ -25,8 +25,8 @@ #include "ray/common/id.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" -#include "ray/rpc/client_call.h" #include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace rpc { diff --git a/src/ray/rpc/retryable_grpc_client.h b/src/ray/rpc/retryable_grpc_client.h index 270f101f83c4..b8cb583a7f17 100644 --- a/src/ray/rpc/retryable_grpc_client.h +++ b/src/ray/rpc/retryable_grpc_client.h @@ -26,8 +26,8 @@ #include "absl/strings/str_format.h" #include "absl/time/time.h" #include "ray/common/grpc_util.h" -#include "ray/rpc/client_call.h" #include "ray/rpc/grpc_client.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray::rpc { diff --git a/src/ray/rpc/rpc_callback_types.h b/src/ray/rpc/rpc_callback_types.h new file mode 100644 index 000000000000..303a93b85c53 --- /dev/null +++ b/src/ray/rpc/rpc_callback_types.h @@ -0,0 +1,41 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include "ray/common/status.h" + +namespace ray { +namespace rpc { + +/// Represents the callback function to be called when a `ServiceHandler` finishes +/// handling a request. +/// \param status The status would be returned to client. +/// \param success Success callback which will be invoked when the reply is successfully +/// sent to the client. +/// \param failure Failure callback which will be invoked when the reply fails to be +/// sent to the client. +using SendReplyCallback = std::function success, std::function failure)>; + +/// Represents the client callback function of a particular rpc method. +/// +/// \tparam Reply Type of the reply message. +template +using ClientCallback = std::function; + +} // namespace rpc +} // namespace ray diff --git a/src/ray/rpc/server_call.h b/src/ray/rpc/server_call.h index 698767d7e25b..0d0779525ea6 100644 --- a/src/ray/rpc/server_call.h +++ b/src/ray/rpc/server_call.h @@ -27,6 +27,7 @@ #include "ray/common/grpc_util.h" #include "ray/common/id.h" #include "ray/common/status.h" +#include "ray/rpc/rpc_callback_types.h" #include "ray/stats/metric.h" #include "ray/stats/metric_defs.h" @@ -53,16 +54,6 @@ void DrainServerCallExecutor(); /// because they are global. void ResetServerCallExecutor(); -/// Represents the callback function to be called when a `ServiceHandler` finishes -/// handling a request. -/// \param status The status would be returned to client. -/// \param success Success callback which will be invoked when the reply is successfully -/// sent to the client. -/// \param failure Failure callback which will be invoked when the reply fails to be -/// sent to the client. -using SendReplyCallback = std::function success, std::function failure)>; - /// Represents state of a `ServerCall`. enum class ServerCallState { /// The call is created and waiting for an incoming request. diff --git a/src/ray/rpc/tests/grpc_bench/BUILD.bazel b/src/ray/rpc/tests/grpc_bench/BUILD.bazel index f5d86689ba9f..5238a11c0baf 100644 --- a/src/ray/rpc/tests/grpc_bench/BUILD.bazel +++ b/src/ray/rpc/tests/grpc_bench/BUILD.bazel @@ -28,6 +28,5 @@ cc_binary( ":helloworld_cc_lib", "//src/ray/common:asio", "//src/ray/rpc:grpc_server", - "//src/ray/rpc:server_call", ], ) diff --git a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc index 86b8e7ef4e27..552b83bff3bc 100644 --- a/src/ray/rpc/tests/grpc_bench/grpc_bench.cc +++ b/src/ray/rpc/tests/grpc_bench/grpc_bench.cc @@ -18,7 +18,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/rpc/grpc_server.h" -#include "ray/rpc/server_call.h" #include "src/ray/rpc/test/grpc_bench/helloworld.grpc.pb.h" #include "src/ray/rpc/test/grpc_bench/helloworld.pb.h" @@ -26,6 +25,8 @@ using namespace ray; // NOLINT using namespace ray::rpc; // NOLINT using namespace helloworld; // NOLINT +class ServerCallFactory; + class GreeterHandler { public: virtual void HandleSayHello(SayHelloRequest request, diff --git a/src/ray/stats/metric_exporter.h b/src/ray/stats/metric_exporter.h index c1ea7197823c..d638cca062c7 100644 --- a/src/ray/stats/metric_exporter.h +++ b/src/ray/stats/metric_exporter.h @@ -20,8 +20,8 @@ #include "opencensus/tags/tag_key.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/rpc/client_call.h" #include "ray/rpc/metrics_agent_client.h" +#include "ray/rpc/rpc_callback_types.h" #include "ray/stats/metric.h" #include "ray/util/logging.h" From 4254dada310b83e859a4e18fe4c6b26c5873cf3b Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Tue, 23 Sep 2025 15:46:11 +0530 Subject: [PATCH 1340/1566] [core] Use `absl::mutex` instead of `std::mutex` in `shutdown_coordinator` (#56821) Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- src/ray/core_worker/shutdown_coordinator.cc | 15 +++++++-------- src/ray/core_worker/shutdown_coordinator.h | 14 +++++++------- 2 files changed, 14 insertions(+), 15 deletions(-) diff --git a/src/ray/core_worker/shutdown_coordinator.cc b/src/ray/core_worker/shutdown_coordinator.cc index a08cb8ec0f88..61a25cd96405 100644 --- a/src/ray/core_worker/shutdown_coordinator.cc +++ b/src/ray/core_worker/shutdown_coordinator.cc @@ -17,7 +17,6 @@ #include #include #include -#include #include #include #include @@ -46,7 +45,7 @@ bool ShutdownCoordinator::RequestShutdown( bool should_execute = false; bool execute_force = force_shutdown; { - std::lock_guard lock(mu_); + absl::MutexLock lock(&mu_); if (state_ == ShutdownState::kShutdown) { return false; } @@ -83,7 +82,7 @@ bool ShutdownCoordinator::RequestShutdown( } bool ShutdownCoordinator::TryTransitionToDisconnecting() { - std::lock_guard lock(mu_); + absl::MutexLock lock(&mu_); if (state_ != ShutdownState::kShuttingDown) { return false; } @@ -92,7 +91,7 @@ bool ShutdownCoordinator::TryTransitionToDisconnecting() { } bool ShutdownCoordinator::TryTransitionToShutdown() { - std::lock_guard lock(mu_); + absl::MutexLock lock(&mu_); if (state_ != ShutdownState::kShuttingDown && state_ != ShutdownState::kDisconnecting) { return false; } @@ -101,17 +100,17 @@ bool ShutdownCoordinator::TryTransitionToShutdown() { } ShutdownState ShutdownCoordinator::GetState() const { - std::lock_guard lock(mu_); + absl::ReaderMutexLock lock(&mu_); return state_; } ShutdownReason ShutdownCoordinator::GetReason() const { - std::lock_guard lock(mu_); + absl::ReaderMutexLock lock(&mu_); return reason_; } bool ShutdownCoordinator::ShouldEarlyExit() const { - std::lock_guard lock(mu_); + absl::ReaderMutexLock lock(&mu_); return state_ != ShutdownState::kRunning; } @@ -178,7 +177,7 @@ void ShutdownCoordinator::ExecuteForceShutdown(std::string_view detail) { // Force shutdown bypasses normal state transitions and terminates immediately // This ensures that force shutdowns can interrupt hanging graceful shutdowns { - std::lock_guard lock(mu_); + absl::MutexLock lock(&mu_); if (force_executed_) { return; } diff --git a/src/ray/core_worker/shutdown_coordinator.h b/src/ray/core_worker/shutdown_coordinator.h index 2692cb72a28d..a7585016c036 100644 --- a/src/ray/core_worker/shutdown_coordinator.h +++ b/src/ray/core_worker/shutdown_coordinator.h @@ -17,10 +17,10 @@ #include #include #include -#include #include #include +#include "absl/synchronization/mutex.h" #include "src/ray/protobuf/common.pb.h" namespace ray { @@ -258,14 +258,14 @@ class ShutdownCoordinator { rpc::WorkerType worker_type_; // Mutex-guarded shutdown state - mutable std::mutex mu_; - ShutdownState state_ = ShutdownState::kRunning; - ShutdownReason reason_ = ShutdownReason::kNone; - bool force_executed_ = false; - bool force_started_ = false; + mutable absl::Mutex mu_; + ShutdownState state_ ABSL_GUARDED_BY(mu_) = ShutdownState::kRunning; + ShutdownReason reason_ ABSL_GUARDED_BY(mu_) = ShutdownReason::kNone; + bool force_executed_ ABSL_GUARDED_BY(mu_) = false; + bool force_started_ ABSL_GUARDED_BY(mu_) = false; /// Shutdown detail for observability (set once during shutdown initiation) - std::string shutdown_detail_; + std::string shutdown_detail_ ABSL_GUARDED_BY(mu_); }; } // namespace core } // namespace ray From d3674d473d88f503192923f97885aa9b3c3e615f Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 23 Sep 2025 04:28:47 -0700 Subject: [PATCH 1341/1566] [core] Refactoring directory structure for rpc_clients (#56814) The rpc clients were placed in multiple places, i.e. gcs_client was placed at the top level, but raylet_client was in the rpc/ directory. Refactored the directory structure so that all rpc clients are at the top level with names: x_rpc_client. Also refactored worker to core_worker, ipc to raylet_ipc_client, and gcs_client to gcs_rpc_client. Created individual bazel files for each rpc/ipc client --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- BUILD.bazel | 4 +- cpp/BUILD.bazel | 2 +- cpp/src/ray/util/process_helper.h | 2 +- python/ray/includes/common.pxd | 10 +- python/ray/includes/gcs_client.pxi | 2 +- python/ray/includes/global_state_accessor.pxd | 2 +- src/mock/ray/gcs_client/accessor.h | 2 +- src/mock/ray/gcs_client/gcs_client.h | 2 +- src/mock/ray/rpc/worker/core_worker_client.h | 2 +- src/ray/core_worker/BUILD.bazel | 30 ++--- src/ray/core_worker/actor_creator.h | 2 +- src/ray/core_worker/actor_manager.h | 2 +- src/ray/core_worker/core_worker.cc | 2 +- src/ray/core_worker/core_worker.h | 6 +- src/ray/core_worker/core_worker_options.h | 2 +- src/ray/core_worker/core_worker_process.cc | 10 +- .../experimental_mutable_object_provider.h | 2 +- src/ray/core_worker/future_resolver.h | 2 +- src/ray/core_worker/lib/java/BUILD.bazel | 2 +- .../io_ray_runtime_gcs_GlobalStateAccessor.cc | 2 +- ...io_ray_runtime_object_NativeObjectStore.cc | 2 +- .../io_ray_runtime_task_NativeTaskExecutor.cc | 2 +- src/ray/core_worker/object_recovery_manager.h | 4 +- .../memory_store/memory_store.cc | 2 +- .../memory_store/memory_store.h | 2 +- .../store_provider/plasma_store_provider.cc | 2 +- .../store_provider/plasma_store_provider.h | 2 +- src/ray/core_worker/task_event_buffer.h | 2 +- .../task_execution/tests/BUILD.bazel | 2 +- .../tests/task_receiver_test.cc | 2 +- src/ray/core_worker/task_manager.h | 4 +- .../core_worker/task_submission/BUILD.bazel | 7 +- .../task_submission/actor_task_submitter.h | 3 +- .../task_submission/normal_task_submitter.h | 6 +- .../task_submission/tests/BUILD.bazel | 10 +- .../tests/actor_task_submitter_test.cc | 2 +- .../tests/normal_task_submitter_test.cc | 8 +- src/ray/core_worker/tests/BUILD.bazel | 30 ++--- .../core_worker/tests/actor_manager_test.cc | 4 +- src/ray/core_worker/tests/core_worker_test.cc | 8 +- .../tests/mutable_object_provider_test.cc | 2 +- .../tests/object_recovery_manager_test.cc | 4 +- .../core_worker/tests/reference_count_test.cc | 2 +- src/ray/core_worker_rpc_client/BUILD.bazel | 66 ++++++++++ .../core_worker_client.cc | 2 +- .../core_worker_client.h | 3 +- .../core_worker_client_interface.h | 4 +- .../core_worker_client_pool.cc | 2 +- .../core_worker_client_pool.h | 8 +- .../fake_core_worker_client.h | 2 +- .../core_worker_rpc_client/tests/BUILD.bazel | 16 +++ .../tests/core_worker_client_pool_test.cc | 4 +- src/ray/gcs/BUILD.bazel | 25 ++-- src/ray/gcs/gcs_actor_manager.h | 4 +- src/ray/gcs/gcs_actor_scheduler.h | 6 +- src/ray/gcs/gcs_autoscaler_state_manager.h | 2 +- src/ray/gcs/gcs_job_manager.h | 2 +- src/ray/gcs/gcs_node_manager.h | 2 +- src/ray/gcs/gcs_placement_group_scheduler.h | 4 +- src/ray/gcs/gcs_server.cc | 6 +- src/ray/gcs/gcs_server.h | 9 +- src/ray/gcs/grpc_service_interfaces.h | 4 +- src/ray/gcs/tests/BUILD.bazel | 28 ++--- .../gcs_actor_manager_export_event_test.cc | 4 +- .../gcs_job_manager_export_event_test.cc | 2 +- .../gcs_node_manager_export_event_test.cc | 2 +- src/ray/gcs/tests/gcs_actor_manager_test.cc | 2 +- .../tests/gcs_actor_scheduler_mock_test.cc | 2 +- src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 8 +- .../gcs_autoscaler_state_manager_test.cc | 2 +- src/ray/gcs/tests/gcs_job_manager_test.cc | 2 +- src/ray/gcs/tests/gcs_node_manager_test.cc | 2 +- .../gcs_placement_group_scheduler_test.cc | 2 +- src/ray/gcs/tests/gcs_server_rpc_test.cc | 2 +- src/ray/gcs/tests/gcs_server_test_util.h | 3 +- .../BUILD.bazel | 0 .../accessor.cc | 4 +- .../{gcs_client => gcs_rpc_client}/accessor.h | 0 .../gcs_client.cc | 4 +- .../gcs_client.h | 4 +- .../global_state_accessor.cc | 2 +- .../global_state_accessor.h | 2 +- .../python_callbacks.h | 0 .../rpc_client.h | 0 .../tests/BUILD.bazel | 10 +- .../tests/accessor_test.cc | 2 +- .../tests/gcs_client_reconnection_test.cc | 6 +- .../tests/gcs_client_test.cc | 6 +- .../tests/global_state_accessor_test.cc | 4 +- src/ray/object_manager/BUILD.bazel | 10 +- src/ray/object_manager/object_directory.h | 2 +- src/ray/object_manager/object_manager.h | 8 +- .../ownership_object_directory.h | 4 +- src/ray/object_manager/plasma/BUILD.bazel | 4 +- src/ray/object_manager/plasma/connection.h | 2 +- src/ray/object_manager/plasma/store.cc | 2 +- src/ray/object_manager/tests/BUILD.bazel | 4 +- .../tests/object_manager_test.cc | 2 +- .../tests/ownership_object_directory_test.cc | 6 +- .../BUILD.bazel | 18 +-- .../fake_object_manager_client.h | 6 +- .../object_manager_client.h | 2 +- .../object_manager_client_interface.h | 3 +- src/ray/pubsub/BUILD.bazel | 2 +- src/ray/pubsub/python_gcs_subscriber.cc | 2 +- src/ray/raylet/BUILD.bazel | 29 ++--- src/ray/raylet/local_object_manager.h | 2 +- src/ray/raylet/main.cc | 10 +- src/ray/raylet/node_manager.cc | 4 +- src/ray/raylet/node_manager.h | 7 +- src/ray/raylet/raylet.cc | 2 +- src/ray/raylet/scheduling/tests/BUILD.bazel | 2 +- src/ray/raylet/tests/BUILD.bazel | 12 +- .../raylet/tests/local_object_manager_test.cc | 6 +- src/ray/raylet/tests/node_manager_test.cc | 4 +- src/ray/raylet/tests/worker_pool_test.cc | 2 +- src/ray/raylet/worker.cc | 2 +- src/ray/raylet/worker.h | 4 +- src/ray/raylet/worker_pool.h | 4 +- .../{ipc => raylet_ipc_client}/BUILD.bazel | 4 +- .../client_connection.cc | 2 +- .../client_connection.h | 0 .../fake_raylet_ipc_client.h | 2 +- .../raylet_ipc_client.cc | 4 +- .../raylet_ipc_client.h | 4 +- .../raylet_ipc_client_interface.h | 0 .../tests/BUILD.bazel | 2 +- .../tests/client_connection_test.cc | 2 +- src/ray/raylet_rpc_client/BUILD.bazel | 60 +++++++++ .../fake_raylet_client.h | 2 +- .../raylet_client.cc | 2 +- .../raylet_client.h | 3 +- .../raylet_client_interface.h | 6 +- .../raylet_client_pool.cc | 2 +- .../raylet_client_pool.h | 4 +- .../tests/BUILD.bazel | 6 +- .../tests/raylet_client_pool_test.cc | 4 +- src/ray/rpc/BUILD.bazel | 119 ++---------------- src/ray/rpc/grpc_server.cc | 1 + src/ray/rpc/grpc_server.h | 1 - .../object_manager_server.h | 0 src/ray/rpc/tests/BUILD.bazel | 15 --- 142 files changed, 452 insertions(+), 438 deletions(-) create mode 100644 src/ray/core_worker_rpc_client/BUILD.bazel rename src/ray/{rpc/worker => core_worker_rpc_client}/core_worker_client.cc (98%) rename src/ray/{rpc/worker => core_worker_rpc_client}/core_worker_client.h (98%) rename src/ray/{rpc/worker => core_worker_rpc_client}/core_worker_client_interface.h (97%) rename src/ray/{rpc/worker => core_worker_rpc_client}/core_worker_client_pool.cc (99%) rename src/ray/{rpc/worker => core_worker_rpc_client}/core_worker_client_pool.h (95%) rename src/ray/{rpc/worker => core_worker_rpc_client}/fake_core_worker_client.h (98%) create mode 100644 src/ray/core_worker_rpc_client/tests/BUILD.bazel rename src/ray/{rpc => core_worker_rpc_client}/tests/core_worker_client_pool_test.cc (98%) rename src/ray/{gcs_client => gcs_rpc_client}/BUILD.bazel (100%) rename src/ray/{gcs_client => gcs_rpc_client}/accessor.cc (99%) rename src/ray/{gcs_client => gcs_rpc_client}/accessor.h (100%) rename src/ray/{gcs_client => gcs_rpc_client}/gcs_client.cc (99%) rename src/ray/{gcs_client => gcs_rpc_client}/gcs_client.h (99%) rename src/ray/{gcs_client => gcs_rpc_client}/global_state_accessor.cc (99%) rename src/ray/{gcs_client => gcs_rpc_client}/global_state_accessor.h (99%) rename src/ray/{gcs_client => gcs_rpc_client}/python_callbacks.h (100%) rename src/ray/{gcs_client => gcs_rpc_client}/rpc_client.h (100%) rename src/ray/{gcs_client => gcs_rpc_client}/tests/BUILD.bazel (89%) rename src/ray/{gcs_client => gcs_rpc_client}/tests/accessor_test.cc (98%) rename src/ray/{gcs_client => gcs_rpc_client}/tests/gcs_client_reconnection_test.cc (99%) rename src/ray/{gcs_client => gcs_rpc_client}/tests/gcs_client_test.cc (99%) rename src/ray/{gcs_client => gcs_rpc_client}/tests/global_state_accessor_test.cc (99%) rename src/ray/{rpc/object_manager => object_manager_rpc_client}/BUILD.bazel (67%) rename src/ray/{rpc/object_manager => object_manager_rpc_client}/fake_object_manager_client.h (94%) rename src/ray/{rpc/object_manager => object_manager_rpc_client}/object_manager_client.h (97%) rename src/ray/{rpc/object_manager => object_manager_rpc_client}/object_manager_client_interface.h (94%) rename src/ray/{ipc => raylet_ipc_client}/BUILD.bazel (92%) rename src/ray/{ipc => raylet_ipc_client}/client_connection.cc (99%) rename src/ray/{ipc => raylet_ipc_client}/client_connection.h (100%) rename src/ray/{ipc => raylet_ipc_client}/fake_raylet_ipc_client.h (98%) rename src/ray/{ipc => raylet_ipc_client}/raylet_ipc_client.cc (99%) rename src/ray/{ipc => raylet_ipc_client}/raylet_ipc_client.h (97%) rename src/ray/{ipc => raylet_ipc_client}/raylet_ipc_client_interface.h (100%) rename src/ray/{ipc => raylet_ipc_client}/tests/BUILD.bazel (86%) rename src/ray/{ipc => raylet_ipc_client}/tests/client_connection_test.cc (99%) create mode 100644 src/ray/raylet_rpc_client/BUILD.bazel rename src/ray/{rpc/raylet => raylet_rpc_client}/fake_raylet_client.h (99%) rename src/ray/{rpc/raylet => raylet_rpc_client}/raylet_client.cc (99%) rename src/ray/{rpc/raylet => raylet_rpc_client}/raylet_client.h (98%) rename src/ray/{rpc/raylet => raylet_rpc_client}/raylet_client_interface.h (98%) rename src/ray/{rpc/raylet => raylet_rpc_client}/raylet_client_pool.cc (98%) rename src/ray/{rpc/raylet => raylet_rpc_client}/raylet_client_pool.h (96%) rename src/ray/{rpc/raylet => raylet_rpc_client}/tests/BUILD.bazel (64%) rename src/ray/{rpc/raylet => raylet_rpc_client}/tests/raylet_client_pool_test.cc (98%) rename src/ray/rpc/{object_manager => }/object_manager_server.h (100%) diff --git a/BUILD.bazel b/BUILD.bazel index 9c94c72feb38..f7c86a29f379 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -237,8 +237,8 @@ pyx_library( "//src/ray/core_worker:core_worker_lib", "//src/ray/gcs:gcs_server_lib", "//src/ray/gcs/store_client:redis_store_client", - "//src/ray/gcs_client:gcs_python_callbacks", - "//src/ray/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_rpc_client:gcs_python_callbacks", + "//src/ray/gcs_rpc_client:global_state_accessor_lib", "//src/ray/protobuf:serialization_cc_proto", "//src/ray/pubsub:python_gcs_subscriber", "//src/ray/thirdparty/setproctitle", diff --git a/cpp/BUILD.bazel b/cpp/BUILD.bazel index 9174d0683dbd..7c6d4bcf4a9b 100644 --- a/cpp/BUILD.bazel +++ b/cpp/BUILD.bazel @@ -66,7 +66,7 @@ cc_library( "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_rpc_client:global_state_accessor_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:network_util", "//src/ray/util:process", diff --git a/cpp/src/ray/util/process_helper.h b/cpp/src/ray/util/process_helper.h index 26dfc6ca108c..27a8957ff158 100644 --- a/cpp/src/ray/util/process_helper.h +++ b/cpp/src/ray/util/process_helper.h @@ -17,7 +17,7 @@ #include "../config_internal.h" #include "ray/core_worker/core_worker.h" -#include "ray/gcs_client/global_state_accessor.h" +#include "ray/gcs_rpc_client/global_state_accessor.h" #include "util.h" namespace ray { diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index ec40d7c43f8c..eda3a38f14a9 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -391,7 +391,7 @@ cdef extern from "ray/core_worker/common.h" nogil: const CNodeID &GetSpilledNodeID() const const c_bool GetDidSpill() const -cdef extern from "ray/gcs_client/python_callbacks.h" namespace "ray::gcs": +cdef extern from "ray/gcs_rpc_client/python_callbacks.h" namespace "ray::gcs": cdef cppclass MultiItemPyCallback[T]: MultiItemPyCallback( object (*)(CRayStatus, c_vector[T]) nogil, @@ -410,7 +410,7 @@ cdef extern from "ray/gcs_client/python_callbacks.h" namespace "ray::gcs": void (object, object) nogil, object) nogil -cdef extern from "ray/gcs_client/accessor.h" nogil: +cdef extern from "ray/gcs_rpc_client/accessor.h" nogil: cdef cppclass CActorInfoAccessor "ray::gcs::ActorInfoAccessor": void AsyncGetAllByFilter( const optional[CActorID] &actor_id, @@ -616,7 +616,7 @@ cdef extern from "ray/gcs_client/accessor.h" nogil: ) -cdef extern from "ray/gcs_client/gcs_client.h" nogil: +cdef extern from "ray/gcs_rpc_client/gcs_client.h" nogil: cdef enum CGrpcStatusCode "grpc::StatusCode": UNAVAILABLE "grpc::StatusCode::UNAVAILABLE", UNKNOWN "grpc::StatusCode::UNKNOWN", @@ -646,7 +646,7 @@ cdef extern from "ray/gcs_client/gcs_client.h" nogil: cdef CRayStatus ConnectOnSingletonIoContext(CGcsClient &gcs_client, int timeout_ms) -cdef extern from "ray/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: +cdef extern from "ray/gcs_rpc_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, double] PythonGetResourcesTotal( const CGcsNodeInfo& node_info) @@ -672,7 +672,7 @@ cdef extern from "ray/pubsub/python_gcs_subscriber.h" nogil: cdef extern from "ray/pubsub/python_gcs_subscriber.h" namespace "ray::pubsub" nogil: c_vector[c_string] PythonGetLogBatchLines(CLogBatch log_batch) -cdef extern from "ray/gcs_client/gcs_client.h" namespace "ray::gcs" nogil: +cdef extern from "ray/gcs_rpc_client/gcs_client.h" namespace "ray::gcs" nogil: unordered_map[c_string, c_string] PythonGetNodeLabels( const CGcsNodeInfo& node_info) diff --git a/python/ray/includes/gcs_client.pxi b/python/ray/includes/gcs_client.pxi index bc47457b179b..45a3f31771d7 100644 --- a/python/ray/includes/gcs_client.pxi +++ b/python/ray/includes/gcs_client.pxi @@ -14,7 +14,7 @@ Binding of C++ ray::gcs::GcsClient. # # We need to best-effort import everything we need. # -# For how async API are implemented, see src/ray/gcs_client/python_callbacks.h +# For how async API are implemented, see src/ray/gcs_rpc_client/python_callbacks.h from asyncio import Future from typing import List, Sequence from libcpp.utility cimport move diff --git a/python/ray/includes/global_state_accessor.pxd b/python/ray/includes/global_state_accessor.pxd index 44d2e3321c1c..d90a023e3ae2 100644 --- a/python/ray/includes/global_state_accessor.pxd +++ b/python/ray/includes/global_state_accessor.pxd @@ -24,7 +24,7 @@ from ray.includes.optional cimport ( optional ) -cdef extern from "ray/gcs_client/global_state_accessor.h" nogil: +cdef extern from "ray/gcs_rpc_client/global_state_accessor.h" nogil: cdef cppclass CGlobalStateAccessor "ray::gcs::GlobalStateAccessor": CGlobalStateAccessor(const CGcsClientOptions&) c_bool Connect() diff --git a/src/mock/ray/gcs_client/accessor.h b/src/mock/ray/gcs_client/accessor.h index ce66405ed34a..b2537885ad8b 100644 --- a/src/mock/ray/gcs_client/accessor.h +++ b/src/mock/ray/gcs_client/accessor.h @@ -13,7 +13,7 @@ // limitations under the License. #pragma once #include "gmock/gmock.h" -#include "ray/gcs_client/accessor.h" +#include "ray/gcs_rpc_client/accessor.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/gcs_client/gcs_client.h b/src/mock/ray/gcs_client/gcs_client.h index 1ad7d85b3ffc..1e94406ae09e 100644 --- a/src/mock/ray/gcs_client/gcs_client.h +++ b/src/mock/ray/gcs_client/gcs_client.h @@ -15,7 +15,7 @@ #pragma once #include "mock/ray/gcs_client/accessor.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" namespace ray { namespace gcs { diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index a2a4a9ffa253..9feed73ce6cc 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -15,7 +15,7 @@ #pragma once #include "gmock/gmock.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" namespace ray { namespace rpc { diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index b71c4b3ff39d..bb10397af280 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -38,15 +38,15 @@ ray_cc_library( "//src/ray/common/cgroup:constants", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/gcs_client", - "//src/ray/ipc:raylet_ipc_client", + "//src/ray/core_worker_rpc_client:core_worker_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/pubsub:publisher", "//src/ray/pubsub:subscriber", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:core_worker_client_pool", + "//src/ray/raylet_ipc_client", + "//src/ray/raylet_rpc_client:raylet_client_lib", "//src/ray/rpc:metrics_agent_client", - "//src/ray/rpc:raylet_client_lib", "//src/ray/stats:stats_lib", "//src/ray/util:container_util", "//src/ray/util:env", @@ -106,7 +106,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_object", "//src/ray/common:status", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/util:process", ], ) @@ -160,7 +160,7 @@ ray_cc_library( hdrs = ["actor_creator.h"], visibility = [":__subpackages__"], deps = [ - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/util:thread_utils", ], ) @@ -188,7 +188,7 @@ ray_cc_library( "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", "//src/ray/core_worker/task_submission:actor_task_submitter", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/protobuf:core_worker_cc_proto", "@com_google_absl//absl/container:flat_hash_map", "@com_google_googletest//:gtest_prod", @@ -238,7 +238,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/common:task_common", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/protobuf:export_task_event_cc_proto", "//src/ray/protobuf:gcs_cc_proto", "//src/ray/rpc:event_aggregator_client", @@ -262,7 +262,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/ipc:raylet_ipc_client_interface", + "//src/ray/raylet_ipc_client:raylet_ipc_client_interface", "//src/ray/rpc:utils", "//src/ray/stats:stats_metric", "@com_google_absl//absl/container:flat_hash_map", @@ -296,9 +296,9 @@ ray_cc_library( "//src/ray/common:buffer", "//src/ray/common:id", "//src/ray/common:protobuf_utils", + "//src/ray/core_worker_rpc_client:core_worker_client_interface", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/rpc:core_worker_client_interface", "//src/ray/stats:stats_metric", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", @@ -334,7 +334,7 @@ ray_cc_library( deps = [ ":memory_store", "//src/ray/common:id", - "//src/ray/rpc:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", ], ) @@ -345,8 +345,8 @@ ray_cc_library( deps = [ ":experimental_mutable_object_manager", "//src/ray/common:asio", + "//src/ray/raylet_rpc_client:raylet_client_interface", "//src/ray/rpc:client_call", - "//src/ray/rpc:raylet_client_interface", ], ) @@ -369,7 +369,7 @@ ray_cc_library( ":reference_count", ":task_manager", "//src/ray/common:id", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_pool", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", ], @@ -398,9 +398,9 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/protobuf:common_cc_proto", + "//src/ray/raylet_ipc_client:raylet_ipc_client_interface", "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/core_worker/actor_creator.h b/src/ray/core_worker/actor_creator.h index 4027ed8ac6a9..cb15b869359f 100644 --- a/src/ray/core_worker/actor_creator.h +++ b/src/ray/core_worker/actor_creator.h @@ -18,7 +18,7 @@ #include #include -#include "ray/gcs_client/accessor.h" +#include "ray/gcs_rpc_client/accessor.h" #include "ray/util/thread_utils.h" namespace ray { diff --git a/src/ray/core_worker/actor_manager.h b/src/ray/core_worker/actor_manager.h index c14ec04f8f89..802e273870e7 100644 --- a/src/ray/core_worker/actor_manager.h +++ b/src/ray/core_worker/actor_manager.h @@ -26,7 +26,7 @@ #include "ray/core_worker/actor_handle.h" #include "ray/core_worker/reference_count.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index c9b93f4e0d22..07eacc888968 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -42,7 +42,7 @@ #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" #include "ray/common/task/task_util.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/container_util.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/core_worker.h b/src/ray/core_worker/core_worker.h index 1f1ccda1d196..0520fd84ae34 100644 --- a/src/ray/core_worker/core_worker.h +++ b/src/ray/core_worker/core_worker.h @@ -48,11 +48,11 @@ #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_execution/task_receiver.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/subscriber.h" -#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" #include "ray/util/process.h" #include "ray/util/shared_lru.h" #include "src/ray/protobuf/pubsub.pb.h" diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index fc59a55495e5..99fd56d65443 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -26,7 +26,7 @@ #include "ray/common/status.h" #include "ray/common/task/task_common.h" #include "ray/core_worker/common.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/util/process.h" namespace ray { diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 722e48950d55..52361f6d9bee 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -33,12 +33,12 @@ #include "ray/common/task/task_util.h" #include "ray/core_worker/core_worker.h" #include "ray/core_worker/core_worker_rpc_proxy.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/core_worker_rpc_client/core_worker_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/object_manager/plasma/client.h" -#include "ray/rpc/raylet/raylet_client.h" -#include "ray/rpc/worker/core_worker_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/raylet_ipc_client/raylet_ipc_client.h" +#include "ray/raylet_rpc_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/stats/tag_defs.h" #include "ray/util/container_util.h" diff --git a/src/ray/core_worker/experimental_mutable_object_provider.h b/src/ray/core_worker/experimental_mutable_object_provider.h index 86aa185cc6be..d8dfdbb175e4 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.h +++ b/src/ray/core_worker/experimental_mutable_object_provider.h @@ -19,8 +19,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/core_worker/experimental_mutable_object_manager.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" #include "ray/rpc/client_call.h" -#include "ray/rpc/raylet/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/future_resolver.h b/src/ray/core_worker/future_resolver.h index 17870f1da37c..33337a4bfb1e 100644 --- a/src/ray/core_worker/future_resolver.h +++ b/src/ray/core_worker/future_resolver.h @@ -19,7 +19,7 @@ #include "ray/common/id.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "src/ray/protobuf/core_worker.pb.h" namespace ray { diff --git a/src/ray/core_worker/lib/java/BUILD.bazel b/src/ray/core_worker/lib/java/BUILD.bazel index 470e5a775838..9457460594b0 100644 --- a/src/ray/core_worker/lib/java/BUILD.bazel +++ b/src/ray/core_worker/lib/java/BUILD.bazel @@ -24,7 +24,7 @@ ray_cc_binary( "//:src/ray/ray_exported_symbols.lds", "//:src/ray/ray_version_script.lds", "//src/ray/core_worker:core_worker_lib", - "//src/ray/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_rpc_client:global_state_accessor_lib", "//src/ray/stats:stats_lib", "//src/ray/util:time", "@bazel_tools//tools/jdk:jni", diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc index d1b5f56c4699..5d3ef03e8671 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_gcs_GlobalStateAccessor.cc @@ -22,7 +22,7 @@ #include "jni_utils.h" // NOLINT(build/include_subdir) #include "ray/common/ray_config.h" #include "ray/core_worker/common.h" -#include "ray/gcs_client/global_state_accessor.h" +#include "ray/gcs_rpc_client/global_state_accessor.h" #ifdef __cplusplus extern "C" { diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc index bb942786ab1b..8ca1d450cd0f 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_object_NativeObjectStore.cc @@ -25,7 +25,7 @@ #include "ray/common/id.h" #include "ray/core_worker/common.h" #include "ray/core_worker/core_worker.h" -#include "ray/gcs_client/global_state_accessor.h" +#include "ray/gcs_rpc_client/global_state_accessor.h" Status PutSerializedObject(JNIEnv *env, jobject obj, diff --git a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc index b0077962cb2a..6f0f1a14a4dc 100644 --- a/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc +++ b/src/ray/core_worker/lib/java/io_ray_runtime_task_NativeTaskExecutor.cc @@ -20,7 +20,7 @@ #include "ray/common/id.h" #include "ray/core_worker/common.h" #include "ray/core_worker/core_worker.h" -#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" #ifdef __cplusplus extern "C" { diff --git a/src/ray/core_worker/object_recovery_manager.h b/src/ray/core_worker/object_recovery_manager.h index 77cd9dac636c..c4280ff485a6 100644 --- a/src/ray/core_worker/object_recovery_manager.h +++ b/src/ray/core_worker/object_recovery_manager.h @@ -25,8 +25,8 @@ #include "ray/core_worker/reference_count.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index 263f0cda53c9..28abe17330f2 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -21,7 +21,7 @@ #include #include "ray/common/ray_config.h" -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" #include "ray/stats/metric_defs.h" #include "ray/stats/tag_defs.h" diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.h b/src/ray/core_worker/store_provider/memory_store/memory_store.h index 31645962f82b..7ed627209bd5 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.h +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.h @@ -27,7 +27,7 @@ #include "ray/common/status.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" #include "ray/rpc/utils.h" namespace ray { diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 3323a924ec50..47a1c5fe02d8 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -23,7 +23,7 @@ #include "ray/common/ray_config.h" #include "ray/common/status.h" #include "ray/common/status_or.h" -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" #include "ray/util/time.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.h b/src/ray/core_worker/store_provider/plasma_store_provider.h index 448dc5e6f40c..0704e07f943f 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.h +++ b/src/ray/core_worker/store_provider/plasma_store_provider.h @@ -27,8 +27,8 @@ #include "ray/common/status_or.h" #include "ray/core_worker/context.h" #include "ray/core_worker/reference_count.h" -#include "ray/ipc/raylet_ipc_client_interface.h" #include "ray/object_manager/plasma/client.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" #include "src/ray/protobuf/common.pb.h" namespace ray { diff --git a/src/ray/core_worker/task_event_buffer.h b/src/ray/core_worker/task_event_buffer.h index d0196af1d582..d36a8bc26622 100644 --- a/src/ray/core_worker/task_event_buffer.h +++ b/src/ray/core_worker/task_event_buffer.h @@ -29,7 +29,7 @@ #include "ray/common/id.h" #include "ray/common/protobuf_utils.h" #include "ray/common/task/task_spec.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/rpc/event_aggregator_client.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" diff --git a/src/ray/core_worker/task_execution/tests/BUILD.bazel b/src/ray/core_worker/task_execution/tests/BUILD.bazel index 7091a60d5179..a820c92c119b 100644 --- a/src/ray/core_worker/task_execution/tests/BUILD.bazel +++ b/src/ray/core_worker/task_execution/tests/BUILD.bazel @@ -60,7 +60,7 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:test_utils", "//src/ray/core_worker/task_execution:task_receiver", - "//src/ray/rpc:core_worker_client_interface", + "//src/ray/core_worker_rpc_client:core_worker_client_interface", "//src/ray/util:time", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", diff --git a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc index b24675d9583c..d1a3453d5053 100644 --- a/src/ray/core_worker/task_execution/tests/task_receiver_test.cc +++ b/src/ray/core_worker/task_execution/tests/task_receiver_test.cc @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" #include "ray/util/time.h" namespace ray { diff --git a/src/ray/core_worker/task_manager.h b/src/ray/core_worker/task_manager.h index b9e3f27dc504..52c932507fc5 100644 --- a/src/ray/core_worker/task_manager.h +++ b/src/ray/core_worker/task_manager.h @@ -30,9 +30,9 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_manager_interface.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/observability/metric_interface.h" -#include "ray/rpc/worker/core_worker_client_interface.h" #include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/core_worker/task_submission/BUILD.bazel b/src/ray/core_worker/task_submission/BUILD.bazel index c36c78e0ebfb..387fba21552c 100644 --- a/src/ray/core_worker/task_submission/BUILD.bazel +++ b/src/ray/core_worker/task_submission/BUILD.bazel @@ -70,7 +70,8 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:protobuf_utils", "//src/ray/core_worker:actor_creator", - "//src/ray/rpc:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/rpc:rpc_callback_types", "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", @@ -94,8 +95,8 @@ ray_cc_library( "//src/ray/core_worker:lease_policy", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:task_manager_interface", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:raylet_client_interface", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_interface", "//src/ray/util:time", "@com_google_absl//absl/base:core_headers", ], diff --git a/src/ray/core_worker/task_submission/actor_task_submitter.h b/src/ray/core_worker/task_submission/actor_task_submitter.h index aa19c665d531..09a535d035c0 100644 --- a/src/ray/core_worker/task_submission/actor_task_submitter.h +++ b/src/ray/core_worker/task_submission/actor_task_submitter.h @@ -31,7 +31,8 @@ #include "ray/core_worker/task_submission/dependency_resolver.h" #include "ray/core_worker/task_submission/out_of_order_actor_submit_queue.h" #include "ray/core_worker/task_submission/sequential_actor_submit_queue.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/normal_task_submitter.h b/src/ray/core_worker/task_submission/normal_task_submitter.h index 488ebd18d174..d1a3f86be918 100644 --- a/src/ray/core_worker/task_submission/normal_task_submitter.h +++ b/src/ray/core_worker/task_submission/normal_task_submitter.h @@ -29,9 +29,9 @@ #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/core_worker/task_manager_interface.h" #include "ray/core_worker/task_submission/dependency_resolver.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/task_submission/tests/BUILD.bazel b/src/ray/core_worker/task_submission/tests/BUILD.bazel index 75b9016c2434..8c27293aa167 100644 --- a/src/ray/core_worker/task_submission/tests/BUILD.bazel +++ b/src/ray/core_worker/task_submission/tests/BUILD.bazel @@ -53,7 +53,7 @@ ray_cc_test( "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_manager", - "//src/ray/rpc:fake_core_worker_client", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -71,10 +71,10 @@ ray_cc_test( "//src/ray/core_worker:fake_actor_creator", "//src/ray/core_worker:memory_store", "//src/ray/core_worker/task_submission:normal_task_submitter", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", - "//src/ray/rpc:fake_raylet_client", - "//src/ray/rpc:raylet_client_interface", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", + "//src/ray/raylet_rpc_client:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc index f5fdfa6dd381..998143f1f83c 100644 --- a/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/actor_task_submitter_test.cc @@ -23,7 +23,7 @@ #include "mock/ray/core_worker/task_manager_interface.h" #include "ray/common/test_utils.h" #include "ray/core_worker/fake_actor_creator.h" -#include "ray/rpc/worker/fake_core_worker_client.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" namespace ray::core { diff --git a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc index 3f88cb9bdee1..29338e043751 100644 --- a/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc +++ b/src/ray/core_worker/task_submission/tests/normal_task_submitter_test.cc @@ -30,10 +30,10 @@ #include "ray/common/test_utils.h" #include "ray/core_worker/fake_actor_creator.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" -#include "ray/rpc/raylet/fake_raylet_client.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/rpc/worker/fake_core_worker_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/BUILD.bazel b/src/ray/core_worker/tests/BUILD.bazel index 5334253d9963..b81097767e2b 100644 --- a/src/ray/core_worker/tests/BUILD.bazel +++ b/src/ray/core_worker/tests/BUILD.bazel @@ -51,11 +51,11 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:ray_object", "//src/ray/core_worker:memory_store", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/pubsub:fake_subscriber", "//src/ray/pubsub:publisher", "//src/ray/pubsub:publisher_interface", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:fake_core_worker_client", "@com_google_absl//absl/functional:bind_front", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", @@ -75,8 +75,8 @@ ray_cc_test( "//src/ray/core_worker:object_recovery_manager", "//src/ray/object_manager:object_manager_common", "//src/ray/pubsub:fake_subscriber", - "//src/ray/rpc:fake_raylet_client", - "//src/ray/rpc:raylet_client_interface", + "//src/ray/raylet_rpc_client:fake_raylet_client", + "//src/ray/raylet_rpc_client:raylet_client_interface", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -96,7 +96,7 @@ ray_cc_test( "//src/ray/core_worker:reference_count", "//src/ray/core_worker:task_event_buffer", "//src/ray/core_worker:task_manager", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/observability:fake_metric", "//src/ray/pubsub:fake_subscriber", "@com_google_googletest//:gtest", @@ -114,7 +114,7 @@ ray_cc_test( "//src/ray/common:task_common", "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/synchronization", @@ -136,7 +136,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:task_event_buffer", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/util:event", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/types:optional", @@ -154,7 +154,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_creator", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest", @@ -172,7 +172,7 @@ ray_cc_test( "//src/ray/common:test_utils", "//src/ray/core_worker:common", "//src/ray/core_worker:generator_waiter", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -187,7 +187,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:test_utils", "//src/ray/core_worker:actor_manager", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], @@ -226,7 +226,7 @@ ray_cc_test( "//src/ray/object_manager:object_manager_common", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/object_manager/plasma:plasma_store_server_lib", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "@com_google_absl//absl/functional:bind_front", "@com_google_absl//absl/random", "@com_google_absl//absl/strings:str_format", @@ -248,14 +248,14 @@ ray_cc_test( "//src/ray/core_worker:grpc_service", "//src/ray/core_worker:memory_store", "//src/ray/core_worker:reference_count", - "//src/ray/ipc:fake_raylet_ipc_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/observability:fake_metric", "//src/ray/pubsub:fake_subscriber", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", - "//src/ray/rpc:fake_raylet_client", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/raylet_ipc_client:fake_raylet_ipc_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", + "//src/ray/raylet_rpc_client:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/core_worker/tests/actor_manager_test.cc b/src/ray/core_worker/tests/actor_manager_test.cc index 1e2c644064ff..bb4dd370d804 100644 --- a/src/ray/core_worker/tests/actor_manager_test.cc +++ b/src/ray/core_worker/tests/actor_manager_test.cc @@ -22,8 +22,8 @@ #include "gtest/gtest.h" #include "mock/ray/core_worker/reference_count.h" #include "ray/common/test_utils.h" -#include "ray/gcs_client/accessor.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/accessor.h" +#include "ray/gcs_rpc_client/gcs_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index 719be588d137..a91a1223aa44 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -43,14 +43,14 @@ #include "ray/core_worker/store_provider/plasma_store_provider.h" #include "ray/core_worker/task_submission/actor_task_submitter.h" #include "ray/core_worker/task_submission/normal_task_submitter.h" -#include "ray/ipc/fake_raylet_ipc_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/observability/fake_metric.h" #include "ray/pubsub/fake_subscriber.h" #include "ray/pubsub/publisher.h" -#include "ray/rpc/raylet/fake_raylet_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/rpc/worker/fake_core_worker_client.h" +#include "ray/raylet_ipc_client/fake_raylet_ipc_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/mutable_object_provider_test.cc b/src/ray/core_worker/tests/mutable_object_provider_test.cc index fa7b4abafd4f..8a877f9b9f76 100644 --- a/src/ray/core_worker/tests/mutable_object_provider_test.cc +++ b/src/ray/core_worker/tests/mutable_object_provider_test.cc @@ -27,7 +27,7 @@ #include "ray/core_worker/experimental_mutable_object_provider.h" #include "ray/object_manager/common.h" #include "ray/object_manager/plasma/client.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/object_recovery_manager_test.cc b/src/ray/core_worker/tests/object_recovery_manager_test.cc index 03437d7dfef6..a7aabc49e604 100644 --- a/src/ray/core_worker/tests/object_recovery_manager_test.cc +++ b/src/ray/core_worker/tests/object_recovery_manager_test.cc @@ -27,8 +27,8 @@ #include "ray/common/test_utils.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" #include "ray/pubsub/fake_subscriber.h" -#include "ray/rpc/raylet/fake_raylet_client.h" -#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" namespace ray { namespace core { diff --git a/src/ray/core_worker/tests/reference_count_test.cc b/src/ray/core_worker/tests/reference_count_test.cc index 6854ca0c4073..e0860e453e3f 100644 --- a/src/ray/core_worker/tests/reference_count_test.cc +++ b/src/ray/core_worker/tests/reference_count_test.cc @@ -27,11 +27,11 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/ray_object.h" #include "ray/core_worker/store_provider/memory_store/memory_store.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/pubsub/fake_subscriber.h" #include "ray/pubsub/publisher.h" #include "ray/pubsub/publisher_interface.h" #include "ray/pubsub/subscriber_interface.h" -#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace core { diff --git a/src/ray/core_worker_rpc_client/BUILD.bazel b/src/ray/core_worker_rpc_client/BUILD.bazel new file mode 100644 index 000000000000..bdd460a90c12 --- /dev/null +++ b/src/ray/core_worker_rpc_client/BUILD.bazel @@ -0,0 +1,66 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "core_worker_client_interface", + hdrs = [ + "core_worker_client_interface.h", + ], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/protobuf:pubsub_cc_proto", + "//src/ray/pubsub:subscriber_interface", + "//src/ray/rpc:rpc_callback_types", + ], +) + +ray_cc_library( + name = "core_worker_client", + srcs = [ + "core_worker_client.cc", + ], + hdrs = [ + "core_worker_client.h", + ], + deps = [ + ":core_worker_client_interface", + "//src/ray/protobuf:core_worker_cc_grpc", + "//src/ray/protobuf:core_worker_cc_proto", + "//src/ray/rpc:retryable_grpc_client", + "//src/ray/rpc:rpc_callback_types", + "//src/ray/util:logging", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "core_worker_client_pool", + srcs = [ + "core_worker_client_pool.cc", + ], + hdrs = [ + "core_worker_client_pool.h", + ], + deps = [ + ":core_worker_client_interface", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/gcs_rpc_client:gcs_client", + "//src/ray/raylet_rpc_client:raylet_client_pool", + "//src/ray/util:logging", + "//src/ray/util:network_util", + "@com_google_absl//absl/synchronization", + ], +) + +ray_cc_library( + name = "fake_core_worker_client", + hdrs = [ + "fake_core_worker_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":core_worker_client_interface", + "@com_google_absl//absl/synchronization", + ], +) diff --git a/src/ray/rpc/worker/core_worker_client.cc b/src/ray/core_worker_rpc_client/core_worker_client.cc similarity index 98% rename from src/ray/rpc/worker/core_worker_client.cc rename to src/ray/core_worker_rpc_client/core_worker_client.cc index db1c00e81e32..ddfd36c1c94f 100644 --- a/src/ray/rpc/worker/core_worker_client.cc +++ b/src/ray/core_worker_rpc_client/core_worker_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/worker/core_worker_client.h" +#include "ray/core_worker_rpc_client/core_worker_client.h" #include #include diff --git a/src/ray/rpc/worker/core_worker_client.h b/src/ray/core_worker_rpc_client/core_worker_client.h similarity index 98% rename from src/ray/rpc/worker/core_worker_client.h rename to src/ray/core_worker_rpc_client/core_worker_client.h index deed307200c4..3eaf8a71937e 100644 --- a/src/ray/rpc/worker/core_worker_client.h +++ b/src/ray/core_worker_rpc_client/core_worker_client.h @@ -22,8 +22,9 @@ #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" #include "ray/rpc/retryable_grpc_client.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/rpc/worker/core_worker_client_interface.h b/src/ray/core_worker_rpc_client/core_worker_client_interface.h similarity index 97% rename from src/ray/rpc/worker/core_worker_client_interface.h rename to src/ray/core_worker_rpc_client/core_worker_client_interface.h index 3f07bdd8ab34..92b7e7c00ff5 100644 --- a/src/ray/rpc/worker/core_worker_client_interface.h +++ b/src/ray/core_worker_rpc_client/core_worker_client_interface.h @@ -17,6 +17,7 @@ #include #include "ray/pubsub/subscriber_interface.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/core_worker.pb.h" #include "src/ray/protobuf/pubsub.pb.h" @@ -24,9 +25,6 @@ namespace ray { namespace rpc { -template -using ClientCallback = std::function; - class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { public: virtual const rpc::Address &Addr() const = 0; diff --git a/src/ray/rpc/worker/core_worker_client_pool.cc b/src/ray/core_worker_rpc_client/core_worker_client_pool.cc similarity index 99% rename from src/ray/rpc/worker/core_worker_client_pool.cc rename to src/ray/core_worker_rpc_client/core_worker_client_pool.cc index de6ca3e9719d..5eb900ff95e7 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.cc +++ b/src/ray/core_worker_rpc_client/core_worker_client_pool.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include #include diff --git a/src/ray/rpc/worker/core_worker_client_pool.h b/src/ray/core_worker_rpc_client/core_worker_client_pool.h similarity index 95% rename from src/ray/rpc/worker/core_worker_client_pool.h rename to src/ray/core_worker_rpc_client/core_worker_client_pool.h index de0f43ed158b..ce3be2e30fba 100644 --- a/src/ray/rpc/worker/core_worker_client_pool.h +++ b/src/ray/core_worker_rpc_client/core_worker_client_pool.h @@ -22,10 +22,10 @@ #include "absl/container/flat_hash_map.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" +#include "ray/gcs_rpc_client/gcs_client.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" namespace ray { namespace rpc { diff --git a/src/ray/rpc/worker/fake_core_worker_client.h b/src/ray/core_worker_rpc_client/fake_core_worker_client.h similarity index 98% rename from src/ray/rpc/worker/fake_core_worker_client.h rename to src/ray/core_worker_rpc_client/fake_core_worker_client.h index cf8bbb76584b..8d30a9b03777 100644 --- a/src/ray/rpc/worker/fake_core_worker_client.h +++ b/src/ray/core_worker_rpc_client/fake_core_worker_client.h @@ -21,7 +21,7 @@ #include "absl/synchronization/mutex.h" #include "ray/common/status.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" #include "src/ray/protobuf/core_worker.pb.h" #include "src/ray/protobuf/pubsub.pb.h" diff --git a/src/ray/core_worker_rpc_client/tests/BUILD.bazel b/src/ray/core_worker_rpc_client/tests/BUILD.bazel new file mode 100644 index 000000000000..7b66f3d25dc1 --- /dev/null +++ b/src/ray/core_worker_rpc_client/tests/BUILD.bazel @@ -0,0 +1,16 @@ +load("//bazel:ray.bzl", "ray_cc_test") + +ray_cc_test( + name = "core_worker_client_pool_test", + size = "small", + srcs = [ + "core_worker_client_pool_test.cc", + ], + tags = ["team:core"], + deps = [ + "//:ray_mock", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", + "@com_google_googletest//:gtest_main", + ], +) diff --git a/src/ray/rpc/tests/core_worker_client_pool_test.cc b/src/ray/core_worker_rpc_client/tests/core_worker_client_pool_test.cc similarity index 98% rename from src/ray/rpc/tests/core_worker_client_pool_test.cc rename to src/ray/core_worker_rpc_client/tests/core_worker_client_pool_test.cc index 3697671db68f..b5389bc7d5b3 100644 --- a/src/ray/rpc/tests/core_worker_client_pool_test.cc +++ b/src/ray/core_worker_rpc_client/tests/core_worker_client_pool_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include #include @@ -22,7 +22,7 @@ #include "gmock/gmock.h" #include "gtest/gtest.h" #include "mock/ray/raylet_client/raylet_client.h" -#include "ray/rpc/worker/fake_core_worker_client.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" namespace ray { namespace rpc { diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index 6cae5dc674e6..bd40c7b9d63e 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -81,7 +81,7 @@ ray_cc_library( "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:ray_syncer_cc_proto", "//src/ray/pubsub:gcs_publisher", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:logging", @@ -253,11 +253,11 @@ ray_cc_library( ":grpc_service_interfaces", "//src/ray/common:protobuf_utils", "//src/ray/common:runtime_env", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/observability:ray_driver_job_definition_event", "//src/ray/observability:ray_driver_job_execution_event", "//src/ray/observability:ray_event_recorder_interface", "//src/ray/pubsub:gcs_publisher", - "//src/ray/rpc:core_worker_client_pool", "//src/ray/stats:stats_metric", "//src/ray/util:event", "//src/ray/util:thread_checker", @@ -291,7 +291,7 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/raylet/scheduling:scheduling_context", - "//src/ray/rpc:raylet_client_interface", + "//src/ray/raylet_rpc_client:raylet_client_interface", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", ], @@ -331,6 +331,7 @@ ray_cc_library( "//src/ray/common:status", "//src/ray/protobuf:autoscaler_cc_grpc", "//src/ray/protobuf:gcs_service_cc_grpc", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -392,10 +393,10 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:ray_config", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:raylet_client_interface", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_interface", + "//src/ray/raylet_rpc_client:raylet_client_pool", "//src/ray/util:logging", "//src/ray/util:time", "@com_google_absl//absl/container:flat_hash_map", @@ -425,10 +426,10 @@ ray_cc_library( "//src/ray/common:protobuf_utils", "//src/ray/common:ray_config", "//src/ray/common:task_common", + "//src/ray/core_worker_rpc_client:core_worker_client_interface", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", - "//src/ray/rpc:core_worker_client_interface", - "//src/ray/rpc:core_worker_client_pool", "//src/ray/stats:stats_lib", "//src/ray/util:counter_map", "//src/ray/util:logging", @@ -505,6 +506,8 @@ ray_cc_library( ":gcs_worker_manager", ":grpc_service_interfaces", ":grpc_services", + "//src/ray/core_worker_rpc_client:core_worker_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/gcs/store_client", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/gcs/store_client:observable_store_client", @@ -515,12 +518,10 @@ ray_cc_library( "//src/ray/pubsub:gcs_publisher", "//src/ray/pubsub:publisher", "//src/ray/raylet/scheduling:scheduler", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:core_worker_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_lib", + "//src/ray/raylet_rpc_client:raylet_client_pool", "//src/ray/rpc:grpc_server", "//src/ray/rpc:metrics_agent_client", - "//src/ray/rpc:raylet_client_lib", - "//src/ray/rpc:raylet_client_pool", "//src/ray/util:counter_map", "//src/ray/util:exponential_backoff", "//src/ray/util:network_util", diff --git a/src/ray/gcs/gcs_actor_manager.h b/src/ray/gcs/gcs_actor_manager.h index b0ce0f10fb28..74651762fe2d 100644 --- a/src/ray/gcs/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_actor_manager.h @@ -27,6 +27,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/runtime_env_manager.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/gcs/gcs_function_manager.h" @@ -35,8 +37,6 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/usage_stats_client.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/worker/core_worker_client_interface.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs_service.pb.h" diff --git a/src/ray/gcs/gcs_actor_scheduler.h b/src/ray/gcs/gcs_actor_scheduler.h index 432b93cf4c9a..48802d7dad56 100644 --- a/src/ray/gcs/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_actor_scheduler.h @@ -24,13 +24,13 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_node_manager.h" #include "ray/gcs/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" namespace ray { using raylet::ClusterLeaseManager; diff --git a/src/ray/gcs/gcs_autoscaler_state_manager.h b/src/ray/gcs/gcs_autoscaler_state_manager.h index 2a459a7e51fe..5290d0499b62 100644 --- a/src/ray/gcs/gcs_autoscaler_state_manager.h +++ b/src/ray/gcs/gcs_autoscaler_state_manager.h @@ -31,7 +31,7 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/state_util.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "ray/util/thread_checker.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs/gcs_job_manager.h b/src/ray/gcs/gcs_job_manager.h index ea5916ee75c9..941089d47d0e 100644 --- a/src/ray/gcs/gcs_job_manager.h +++ b/src/ray/gcs/gcs_job_manager.h @@ -22,6 +22,7 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/runtime_env_manager.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/gcs_init_data.h" #include "ray/gcs/gcs_kv_manager.h" @@ -29,7 +30,6 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/event.h" #include "ray/util/thread_checker.h" diff --git a/src/ray/gcs/gcs_node_manager.h b/src/ray/gcs/gcs_node_manager.h index cfb1e7fa6545..b502dcc4c23d 100644 --- a/src/ray/gcs/gcs_node_manager.h +++ b/src/ray/gcs/gcs_node_manager.h @@ -28,7 +28,7 @@ #include "ray/gcs/grpc_service_interfaces.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "ray/stats/metric_defs.h" #include "ray/util/event.h" #include "src/ray/protobuf/autoscaler.pb.h" diff --git a/src/ray/gcs/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_placement_group_scheduler.h index 6e43239d7967..2d6a4039377a 100644 --- a/src/ray/gcs/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_placement_group_scheduler.h @@ -29,8 +29,8 @@ #include "ray/gcs/gcs_table_storage.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" #include "ray/raylet/scheduling/policy/scheduling_context.h" -#include "ray/rpc/raylet/raylet_client_interface.h" -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index f87db3befab6..da0bc645a2be 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -23,6 +23,8 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/ray_config.h" +#include "ray/core_worker_rpc_client/core_worker_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_actor_manager.h" #include "ray/gcs/gcs_autoscaler_state_manager.h" #include "ray/gcs/gcs_job_manager.h" @@ -37,9 +39,7 @@ #include "ray/gcs/store_client_kv.h" #include "ray/observability/metric_constants.h" #include "ray/pubsub/publisher.h" -#include "ray/rpc/raylet/raylet_client.h" -#include "ray/rpc/worker/core_worker_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs/gcs_server.h b/src/ray/gcs/gcs_server.h index 831531bb30ce..8126c5ee55d5 100644 --- a/src/ray/gcs/gcs_server.h +++ b/src/ray/gcs/gcs_server.h @@ -22,6 +22,7 @@ #include "ray/common/asio/postable.h" #include "ray/common/ray_syncer/ray_syncer.h" #include "ray/common/runtime_env_manager.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/gcs_health_check_manager.h" #include "ray/gcs/gcs_init_data.h" @@ -40,17 +41,19 @@ #include "ray/pubsub/gcs_publisher.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/rpc/client_call.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "ray/rpc/grpc_server.h" #include "ray/rpc/metrics_agent_client.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/throttler.h" namespace ray { using raylet::ClusterLeaseManager; using raylet::NoopLocalLeaseManager; +namespace rpc { +class ClientCallManager; +} + namespace gcs { struct GcsServerConfig { diff --git a/src/ray/gcs/grpc_service_interfaces.h b/src/ray/gcs/grpc_service_interfaces.h index e7d8dedf5a61..e26bf6e89f8d 100644 --- a/src/ray/gcs/grpc_service_interfaces.h +++ b/src/ray/gcs/grpc_service_interfaces.h @@ -22,15 +22,13 @@ #pragma once #include "ray/common/status.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/autoscaler.grpc.pb.h" #include "src/ray/protobuf/gcs_service.grpc.pb.h" namespace ray { namespace rpc { -using SendReplyCallback = std::function success, std::function failure)>; - #define GCS_RPC_SEND_REPLY(send_reply_callback, reply, status) \ reply->mutable_status()->set_code(static_cast(status.code())); \ reply->mutable_status()->set_message(status.message()); \ diff --git a/src/ray/gcs/tests/BUILD.bazel b/src/ray/gcs/tests/BUILD.bazel index 67144914451d..3e57ad3fa4f6 100644 --- a/src/ray/gcs/tests/BUILD.bazel +++ b/src/ray/gcs/tests/BUILD.bazel @@ -111,7 +111,7 @@ ray_cc_test( "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "@com_google_googletest//:gtest_main", ], ) @@ -127,11 +127,11 @@ ray_cc_test( "//:ray_mock", "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/gcs:gcs_job_manager", "//src/ray/gcs:gcs_kv_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", - "//src/ray/rpc:core_worker_client_pool", "@com_google_googletest//:gtest_main", ], ) @@ -186,6 +186,7 @@ ray_cc_test( deps = [ "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs:gcs_placement_group", "//src/ray/gcs:gcs_placement_group_scheduler", @@ -193,8 +194,7 @@ ray_cc_test( "//src/ray/gcs:gcs_table_storage", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", - "//src/ray/rpc:fake_core_worker_client", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -210,15 +210,15 @@ ray_cc_test( deps = [ "//src/mock/ray/pubsub:mock_publisher", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/gcs:gcs_actor", "//src/ray/gcs:gcs_actor_scheduler", "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", - "//src/ray/rpc:fake_raylet_client", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/raylet_rpc_client:fake_raylet_client", + "//src/ray/raylet_rpc_client:raylet_client_pool", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -234,9 +234,9 @@ ray_cc_test( deps = [ "//:ray_mock", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/gcs:gcs_actor", "//src/ray/gcs:gcs_actor_scheduler", - "//src/ray/rpc:core_worker_client_pool", "//src/ray/util:counter_map", "@com_google_googletest//:gtest_main", ], @@ -256,13 +256,13 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:runtime_env", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/gcs:gcs_actor", "//src/ray/gcs:gcs_actor_manager", "//src/ray/gcs:gcs_actor_scheduler", "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", - "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest_main", ], ) @@ -351,7 +351,7 @@ ray_cc_test( "//src/ray/gcs:gcs_resource_manager", "//src/ray/gcs:gcs_store_client_kv", "//src/ray/raylet/scheduling:cluster_resource_manager", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "@com_google_googletest//:gtest_main", ], ) @@ -422,14 +422,14 @@ ray_cc_test( "//src/ray/common:asio", "//src/ray/common:runtime_env", "//src/ray/common:test_utils", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/gcs:gcs_actor", "//src/ray/gcs:gcs_actor_manager", "//src/ray/gcs:gcs_actor_scheduler", "//src/ray/gcs:gcs_function_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/pubsub:publisher", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", "//src/ray/util:event", "@com_google_googletest//:gtest_main", ], @@ -449,7 +449,7 @@ ray_cc_test( "//src/ray/gcs:gcs_node_manager", "//src/ray/gcs/store_client:in_memory_store_client", "//src/ray/observability:fake_ray_event_recorder", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "//src/ray/util:string_utils", "@com_google_googletest//:gtest", ], diff --git a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc index e55d052ae357..1409e24e51c0 100644 --- a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -27,13 +27,13 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_manager.h" #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/event.h" namespace ray { diff --git a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc index 88f4f2c1d0aa..a53e6d21b250 100644 --- a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc @@ -23,11 +23,11 @@ #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_job_manager.h" #include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/worker/core_worker_client_pool.h" using json = nlohmann::json; diff --git a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc index 3a7fc1a7c288..1dd103a2f47e 100644 --- a/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_node_manager_export_event_test.cc @@ -26,7 +26,7 @@ #include "ray/gcs/gcs_node_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" #include "ray/util/event.h" #include "ray/util/string_utils.h" diff --git a/src/ray/gcs/tests/gcs_actor_manager_test.cc b/src/ray/gcs/tests/gcs_actor_manager_test.cc index 69615853c20b..94a2b6d4ad14 100644 --- a/src/ray/gcs/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/tests/gcs_actor_manager_test.cc @@ -27,12 +27,12 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/runtime_env_manager.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/pubsub/publisher.h" -#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc index 1e2b08d42bf3..a4cd4c8ecd80 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc @@ -23,10 +23,10 @@ #include "mock/ray/raylet_client/raylet_client.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/counter_map.h" using namespace ::testing; // NOLINT diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index 0c9522168c14..af942597909f 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -25,15 +25,15 @@ #include "mock/ray/pubsub/publisher.h" #include "ray/common/asio/asio_util.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/gcs/gcs_actor.h" #include "ray/gcs/gcs_actor_scheduler.h" #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/raylet/fake_raylet_client.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/rpc/worker/fake_core_worker_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "ray/util/counter_map.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index 788a5a177848..9cb47087e788 100644 --- a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -37,7 +37,7 @@ #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client_kv.h" #include "ray/raylet/scheduling/cluster_resource_manager.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_job_manager_test.cc b/src/ray/gcs/tests/gcs_job_manager_test.cc index 2c36743aa1e3..327634e4b134 100644 --- a/src/ray/gcs/tests/gcs_job_manager_test.cc +++ b/src/ray/gcs/tests/gcs_job_manager_test.cc @@ -22,10 +22,10 @@ #include "mock/ray/pubsub/publisher.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/test_utils.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/gcs/gcs_kv_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/worker/core_worker_client_pool.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index c50b4b03caa4..69eeba59b14e 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -25,7 +25,7 @@ #include "ray/common/test_utils.h" #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" namespace ray { class GcsNodeManagerTest : public ::testing::Test { diff --git a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index 7aa22695a2cf..e49c2d860384 100644 --- a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -32,7 +32,7 @@ #include "ray/gcs/store_client/in_memory_store_client.h" #include "ray/observability/fake_ray_event_recorder.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" #include "ray/util/counter_map.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_server_rpc_test.cc b/src/ray/gcs/tests/gcs_server_rpc_test.cc index 0d4c4f0916ae..346d2825acbb 100644 --- a/src/ray/gcs/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/tests/gcs_server_rpc_test.cc @@ -21,7 +21,7 @@ #include "ray/common/ray_config.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/rpc_client.h" #include "ray/observability/fake_metric.h" namespace ray { diff --git a/src/ray/gcs/tests/gcs_server_test_util.h b/src/ray/gcs/tests/gcs_server_test_util.h index e673472656ef..926359bd288c 100644 --- a/src/ray/gcs/tests/gcs_server_test_util.h +++ b/src/ray/gcs/tests/gcs_server_test_util.h @@ -33,7 +33,8 @@ #include "ray/gcs/gcs_placement_group_scheduler.h" #include "ray/gcs/gcs_resource_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" +#include "ray/rpc/rpc_callback_types.h" namespace ray { diff --git a/src/ray/gcs_client/BUILD.bazel b/src/ray/gcs_rpc_client/BUILD.bazel similarity index 100% rename from src/ray/gcs_client/BUILD.bazel rename to src/ray/gcs_rpc_client/BUILD.bazel diff --git a/src/ray/gcs_client/accessor.cc b/src/ray/gcs_rpc_client/accessor.cc similarity index 99% rename from src/ray/gcs_client/accessor.cc rename to src/ray/gcs_rpc_client/accessor.cc index b698a6b14bc4..38cd5d71ae19 100644 --- a/src/ray/gcs_client/accessor.cc +++ b/src/ray/gcs_rpc_client/accessor.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/accessor.h" +#include "ray/gcs_rpc_client/accessor.h" #include #include @@ -21,7 +21,7 @@ #include #include -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/util/container_util.h" namespace ray { diff --git a/src/ray/gcs_client/accessor.h b/src/ray/gcs_rpc_client/accessor.h similarity index 100% rename from src/ray/gcs_client/accessor.h rename to src/ray/gcs_rpc_client/accessor.h diff --git a/src/ray/gcs_client/gcs_client.cc b/src/ray/gcs_rpc_client/gcs_client.cc similarity index 99% rename from src/ray/gcs_client/gcs_client.cc rename to src/ray/gcs_rpc_client/gcs_client.cc index 1b363b3ee626..dd421e67ab84 100644 --- a/src/ray/gcs_client/gcs_client.cc +++ b/src/ray/gcs_rpc_client/gcs_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include #include @@ -24,7 +24,7 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/ray_config.h" -#include "ray/gcs_client/accessor.h" +#include "ray/gcs_rpc_client/accessor.h" #include "ray/pubsub/subscriber.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs_client/gcs_client.h b/src/ray/gcs_rpc_client/gcs_client.h similarity index 99% rename from src/ray/gcs_client/gcs_client.h rename to src/ray/gcs_rpc_client/gcs_client.h index b13eb5292e5d..f57d3dbe3d4f 100644 --- a/src/ray/gcs_client/gcs_client.h +++ b/src/ray/gcs_rpc_client/gcs_client.h @@ -28,8 +28,8 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs_client/accessor.h" -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/accessor.h" +#include "ray/gcs_rpc_client/rpc_client.h" #include "ray/pubsub/gcs_subscriber.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" diff --git a/src/ray/gcs_client/global_state_accessor.cc b/src/ray/gcs_rpc_client/global_state_accessor.cc similarity index 99% rename from src/ray/gcs_client/global_state_accessor.cc rename to src/ray/gcs_rpc_client/global_state_accessor.cc index 4e80d9496e5e..56f7e067fde5 100644 --- a/src/ray/gcs_client/global_state_accessor.cc +++ b/src/ray/gcs_rpc_client/global_state_accessor.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/global_state_accessor.h" +#include "ray/gcs_rpc_client/global_state_accessor.h" #include #include diff --git a/src/ray/gcs_client/global_state_accessor.h b/src/ray/gcs_rpc_client/global_state_accessor.h similarity index 99% rename from src/ray/gcs_client/global_state_accessor.h rename to src/ray/gcs_rpc_client/global_state_accessor.h index c525ab7c5d2c..4bf1ee31814d 100644 --- a/src/ray/gcs_client/global_state_accessor.h +++ b/src/ray/gcs_rpc_client/global_state_accessor.h @@ -23,7 +23,7 @@ #include "absl/base/thread_annotations.h" #include "absl/synchronization/mutex.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" namespace ray { namespace gcs { diff --git a/src/ray/gcs_client/python_callbacks.h b/src/ray/gcs_rpc_client/python_callbacks.h similarity index 100% rename from src/ray/gcs_client/python_callbacks.h rename to src/ray/gcs_rpc_client/python_callbacks.h diff --git a/src/ray/gcs_client/rpc_client.h b/src/ray/gcs_rpc_client/rpc_client.h similarity index 100% rename from src/ray/gcs_client/rpc_client.h rename to src/ray/gcs_rpc_client/rpc_client.h diff --git a/src/ray/gcs_client/tests/BUILD.bazel b/src/ray/gcs_rpc_client/tests/BUILD.bazel similarity index 89% rename from src/ray/gcs_client/tests/BUILD.bazel rename to src/ray/gcs_rpc_client/tests/BUILD.bazel index d7e27fcf3a50..d8dfd62e842a 100644 --- a/src/ray/gcs_client/tests/BUILD.bazel +++ b/src/ray/gcs_rpc_client/tests/BUILD.bazel @@ -9,7 +9,7 @@ ray_cc_test( tags = ["team:core"], deps = [ "//src/ray/common:test_utils", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "@com_google_googletest//:gtest_main", ], ) @@ -32,8 +32,8 @@ ray_cc_test( deps = [ "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", - "//src/ray/gcs_client", - "//src/ray/gcs_client:global_state_accessor_lib", + "//src/ray/gcs_rpc_client:gcs_client", + "//src/ray/gcs_rpc_client:global_state_accessor_lib", "//src/ray/observability:fake_metric", "//src/ray/util:path_utils", "//src/ray/util:raii", @@ -63,7 +63,7 @@ ray_cc_test( deps = [ "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/observability:fake_metric", "//src/ray/util:network_util", "//src/ray/util:raii", @@ -92,7 +92,7 @@ ray_cc_test( deps = [ "//src/ray/common:test_utils", "//src/ray/gcs:gcs_server_lib", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/observability:fake_metric", "//src/ray/util:network_util", "//src/ray/util:path_utils", diff --git a/src/ray/gcs_client/tests/accessor_test.cc b/src/ray/gcs_rpc_client/tests/accessor_test.cc similarity index 98% rename from src/ray/gcs_client/tests/accessor_test.cc rename to src/ray/gcs_rpc_client/tests/accessor_test.cc index b8c1d19c4108..1ac66bf18151 100644 --- a/src/ray/gcs_client/tests/accessor_test.cc +++ b/src/ray/gcs_rpc_client/tests/accessor_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/accessor.h" +#include "ray/gcs_rpc_client/accessor.h" #include "gtest/gtest.h" #include "src/ray/protobuf/gcs.pb.h" diff --git a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc b/src/ray/gcs_rpc_client/tests/gcs_client_reconnection_test.cc similarity index 99% rename from src/ray/gcs_client/tests/gcs_client_reconnection_test.cc rename to src/ray/gcs_rpc_client/tests/gcs_client_reconnection_test.cc index df81a01428cd..201e5623f8c8 100644 --- a/src/ray/gcs_client/tests/gcs_client_reconnection_test.cc +++ b/src/ray/gcs_rpc_client/tests/gcs_client_reconnection_test.cc @@ -24,9 +24,9 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" -#include "ray/gcs_client/accessor.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/accessor.h" +#include "ray/gcs_rpc_client/gcs_client.h" +#include "ray/gcs_rpc_client/rpc_client.h" #include "ray/observability/fake_metric.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs_client/tests/gcs_client_test.cc b/src/ray/gcs_rpc_client/tests/gcs_client_test.cc similarity index 99% rename from src/ray/gcs_client/tests/gcs_client_test.cc rename to src/ray/gcs_rpc_client/tests/gcs_client_test.cc index a2d1b5c6c9d7..caa6e25bd9ed 100644 --- a/src/ray/gcs_client/tests/gcs_client_test.cc +++ b/src/ray/gcs_rpc_client/tests/gcs_client_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include #include @@ -24,8 +24,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" -#include "ray/gcs_client/accessor.h" -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/accessor.h" +#include "ray/gcs_rpc_client/rpc_client.h" #include "ray/observability/fake_metric.h" #include "ray/util/network_util.h" #include "ray/util/path_utils.h" diff --git a/src/ray/gcs_client/tests/global_state_accessor_test.cc b/src/ray/gcs_rpc_client/tests/global_state_accessor_test.cc similarity index 99% rename from src/ray/gcs_client/tests/global_state_accessor_test.cc rename to src/ray/gcs_rpc_client/tests/global_state_accessor_test.cc index 0ed8b3c1f5f4..3b05c8747fe8 100644 --- a/src/ray/gcs_client/tests/global_state_accessor_test.cc +++ b/src/ray/gcs_rpc_client/tests/global_state_accessor_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/gcs_client/global_state_accessor.h" +#include "ray/gcs_rpc_client/global_state_accessor.h" #include #include @@ -22,7 +22,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/test_utils.h" #include "ray/gcs/gcs_server.h" -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/rpc_client.h" #include "ray/observability/fake_metric.h" #include "ray/util/path_utils.h" #include "ray/util/raii.h" diff --git a/src/ray/object_manager/BUILD.bazel b/src/ray/object_manager/BUILD.bazel index 64379cd38f00..7674d6aaef20 100644 --- a/src/ray/object_manager/BUILD.bazel +++ b/src/ray/object_manager/BUILD.bazel @@ -17,10 +17,10 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:status", "//src/ray/object_manager/plasma:plasma_store_server_lib", + "//src/ray/object_manager_rpc_client:object_manager_client_interface", "//src/ray/protobuf:common_cc_proto", "//src/ray/protobuf:node_manager_cc_proto", - "//src/ray/rpc/object_manager:object_manager_client_interface", - "//src/ray/rpc/object_manager:object_manager_server", + "//src/ray/rpc:object_manager_server", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -66,9 +66,9 @@ ray_cc_library( ":object_directory", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:core_worker_client_pool", "@com_google_absl//absl/container:flat_hash_map", ], ) @@ -81,7 +81,7 @@ ray_cc_library( "//src/ray/common:asio", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", ], ) diff --git a/src/ray/object_manager/object_directory.h b/src/ray/object_manager/object_directory.h index fa9130111ea0..28a921f96714 100644 --- a/src/ray/object_manager/object_directory.h +++ b/src/ray/object_manager/object_directory.h @@ -24,7 +24,7 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/object_manager/common.h" namespace ray { diff --git a/src/ray/object_manager/object_manager.h b/src/ray/object_manager/object_manager.h index 13595596ea65..ebcec48f7c44 100644 --- a/src/ray/object_manager/object_manager.h +++ b/src/ray/object_manager/object_manager.h @@ -31,14 +31,18 @@ #include "ray/object_manager/object_directory.h" #include "ray/object_manager/pull_manager.h" #include "ray/object_manager/push_manager.h" -#include "ray/rpc/object_manager/object_manager_client_interface.h" -#include "ray/rpc/object_manager/object_manager_server.h" +#include "ray/object_manager_rpc_client/object_manager_client_interface.h" +#include "ray/rpc/object_manager_server.h" #include "ray/stats/metric.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/node_manager.pb.h" namespace ray { +namespace rpc { +class ClientCallManager; +} + struct ObjectManagerConfig { /// The IP address this object manager is running on. std::string object_manager_address; diff --git a/src/ray/object_manager/ownership_object_directory.h b/src/ray/object_manager/ownership_object_directory.h index 8f73e312cd80..82e2138c1b8a 100644 --- a/src/ray/object_manager/ownership_object_directory.h +++ b/src/ray/object_manager/ownership_object_directory.h @@ -23,10 +23,10 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/object_manager/object_directory.h" #include "ray/pubsub/subscriber_interface.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/stats/metric.h" namespace ray { diff --git a/src/ray/object_manager/plasma/BUILD.bazel b/src/ray/object_manager/plasma/BUILD.bazel index 0ceb1326c8a1..3a352425f149 100644 --- a/src/ray/object_manager/plasma/BUILD.bazel +++ b/src/ray/object_manager/plasma/BUILD.bazel @@ -132,8 +132,8 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:ray_config", "//src/ray/common:status", - "//src/ray/ipc:client_connection", "//src/ray/object_manager:object_manager_common", + "//src/ray/raylet_ipc_client:client_connection", "//src/ray/stats:stats_metric", "//src/ray/util:network_util", "@boost//:bind", @@ -305,9 +305,9 @@ ray_cc_library( ":plasma_generated", "//src/ray/common:id", "//src/ray/common:status", - "//src/ray/ipc:client_connection", "//src/ray/object_manager:object_manager_common", "//src/ray/protobuf:common_cc_proto", + "//src/ray/raylet_ipc_client:client_connection", "//src/ray/util:compat", "//src/ray/util:logging", "//src/ray/util:process", diff --git a/src/ray/object_manager/plasma/connection.h b/src/ray/object_manager/plasma/connection.h index 024625a1db8c..2f32007aa04d 100644 --- a/src/ray/object_manager/plasma/connection.h +++ b/src/ray/object_manager/plasma/connection.h @@ -22,7 +22,7 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/id.h" #include "ray/common/status.h" -#include "ray/ipc/client_connection.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/util/compat.h" namespace plasma { diff --git a/src/ray/object_manager/plasma/store.cc b/src/ray/object_manager/plasma/store.cc index 790dbdf5b33a..ae58a9b7fd98 100644 --- a/src/ray/object_manager/plasma/store.cc +++ b/src/ray/object_manager/plasma/store.cc @@ -43,12 +43,12 @@ #include "absl/container/flat_hash_set.h" #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/ipc/client_connection.h" #include "ray/object_manager/plasma/common.h" #include "ray/object_manager/plasma/get_request_queue.h" #include "ray/object_manager/plasma/malloc.h" #include "ray/object_manager/plasma/plasma_allocator.h" #include "ray/object_manager/plasma/protocol.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric_defs.h" #include "ray/util/network_util.h" diff --git a/src/ray/object_manager/tests/BUILD.bazel b/src/ray/object_manager/tests/BUILD.bazel index 0cb704637763..bfc16cdcf49a 100644 --- a/src/ray/object_manager/tests/BUILD.bazel +++ b/src/ray/object_manager/tests/BUILD.bazel @@ -36,9 +36,9 @@ ray_cc_test( ], tags = ["team:core"], deps = [ + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/object_manager:ownership_object_directory", "//src/ray/pubsub:fake_subscriber", - "//src/ray/rpc:fake_core_worker_client", "@com_google_googletest//:gtest_main", ], ) @@ -116,7 +116,7 @@ ray_cc_test( "//:ray_mock", "//src/ray/object_manager", "//src/ray/object_manager/plasma:fake_plasma_client", - "//src/ray/rpc/object_manager:fake_object_manager_client", + "//src/ray/object_manager_rpc_client:fake_object_manager_client", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/object_manager/tests/object_manager_test.cc b/src/ray/object_manager/tests/object_manager_test.cc index cc4310f36abd..d133d291183f 100644 --- a/src/ray/object_manager/tests/object_manager_test.cc +++ b/src/ray/object_manager/tests/object_manager_test.cc @@ -30,7 +30,7 @@ #include "ray/common/status.h" #include "ray/object_manager/common.h" #include "ray/object_manager/plasma/fake_plasma_client.h" -#include "ray/rpc/object_manager/fake_object_manager_client.h" +#include "ray/object_manager_rpc_client/fake_object_manager_client.h" namespace ray { diff --git a/src/ray/object_manager/tests/ownership_object_directory_test.cc b/src/ray/object_manager/tests/ownership_object_directory_test.cc index 28d33c8ed7c4..ebe3c8d6e9fa 100644 --- a/src/ray/object_manager/tests/ownership_object_directory_test.cc +++ b/src/ray/object_manager/tests/ownership_object_directory_test.cc @@ -25,10 +25,10 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/status.h" -#include "ray/gcs_client/accessor.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" +#include "ray/gcs_rpc_client/accessor.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/pubsub/fake_subscriber.h" -#include "ray/rpc/worker/fake_core_worker_client.h" namespace ray { diff --git a/src/ray/rpc/object_manager/BUILD.bazel b/src/ray/object_manager_rpc_client/BUILD.bazel similarity index 67% rename from src/ray/rpc/object_manager/BUILD.bazel rename to src/ray/object_manager_rpc_client/BUILD.bazel index e710f3dfc5e6..5acde12c4e2e 100644 --- a/src/ray/rpc/object_manager/BUILD.bazel +++ b/src/ray/object_manager_rpc_client/BUILD.bazel @@ -20,22 +20,7 @@ ray_cc_library( hdrs = ["object_manager_client_interface.h"], deps = [ "//src/ray/protobuf:object_manager_cc_proto", - ], -) - -ray_cc_library( - name = "object_manager_server", - hdrs = [ - "object_manager_server.h", - ], - visibility = ["//visibility:public"], - deps = [ - "//src/ray/common:asio", - "//src/ray/object_manager:object_manager_grpc_client_manager", - "//src/ray/protobuf:object_manager_cc_grpc", - "//src/ray/rpc:grpc_server", - "@boost//:asio", - "@com_github_grpc_grpc//:grpc++", + "//src/ray/rpc:rpc_callback_types", ], ) @@ -46,5 +31,6 @@ ray_cc_library( ":object_manager_client_interface", "//src/ray/common:status", "//src/ray/protobuf:object_manager_cc_proto", + "//src/ray/rpc:rpc_callback_types", ], ) diff --git a/src/ray/rpc/object_manager/fake_object_manager_client.h b/src/ray/object_manager_rpc_client/fake_object_manager_client.h similarity index 94% rename from src/ray/rpc/object_manager/fake_object_manager_client.h rename to src/ray/object_manager_rpc_client/fake_object_manager_client.h index 97b0af8fc848..dc2520602863 100644 --- a/src/ray/rpc/object_manager/fake_object_manager_client.h +++ b/src/ray/object_manager_rpc_client/fake_object_manager_client.h @@ -23,15 +23,13 @@ #include #include "ray/common/status.h" -#include "ray/rpc/object_manager/object_manager_client_interface.h" +#include "ray/object_manager_rpc_client/object_manager_client_interface.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/object_manager.pb.h" namespace ray { namespace rpc { -template -using ClientCallback = std::function; - class FakeObjectManagerClient : public ObjectManagerClientInterface { public: FakeObjectManagerClient(const std::string &address, diff --git a/src/ray/rpc/object_manager/object_manager_client.h b/src/ray/object_manager_rpc_client/object_manager_client.h similarity index 97% rename from src/ray/rpc/object_manager/object_manager_client.h rename to src/ray/object_manager_rpc_client/object_manager_client.h index 121363961346..3005fe741e59 100644 --- a/src/ray/rpc/object_manager/object_manager_client.h +++ b/src/ray/object_manager_rpc_client/object_manager_client.h @@ -24,8 +24,8 @@ #include "ray/common/status.h" #include "ray/object_manager/grpc_client_manager.h" +#include "ray/object_manager_rpc_client/object_manager_client_interface.h" #include "ray/rpc/grpc_client.h" -#include "ray/rpc/object_manager/object_manager_client_interface.h" #include "ray/util/logging.h" #include "src/ray/protobuf/object_manager.grpc.pb.h" #include "src/ray/protobuf/object_manager.pb.h" diff --git a/src/ray/rpc/object_manager/object_manager_client_interface.h b/src/ray/object_manager_rpc_client/object_manager_client_interface.h similarity index 94% rename from src/ray/rpc/object_manager/object_manager_client_interface.h rename to src/ray/object_manager_rpc_client/object_manager_client_interface.h index ad74fcf5ffdd..68b1f4925156 100644 --- a/src/ray/rpc/object_manager/object_manager_client_interface.h +++ b/src/ray/object_manager_rpc_client/object_manager_client_interface.h @@ -14,13 +14,12 @@ #pragma once +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/object_manager.pb.h" namespace ray { namespace rpc { -template -using ClientCallback = std::function; /// Abstract client interface for object manager clients. class ObjectManagerClientInterface { public: diff --git a/src/ray/pubsub/BUILD.bazel b/src/ray/pubsub/BUILD.bazel index f35a0b3c9069..ca05d7c028a4 100644 --- a/src/ray/pubsub/BUILD.bazel +++ b/src/ray/pubsub/BUILD.bazel @@ -98,7 +98,7 @@ ray_cc_library( hdrs = ["python_gcs_subscriber.h"], deps = [ "//src/ray/common:status", - "//src/ray/gcs_client:rpc_client", + "//src/ray/gcs_rpc_client:rpc_client", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/protobuf:pubsub_cc_proto", "//src/ray/util:visibility", diff --git a/src/ray/pubsub/python_gcs_subscriber.cc b/src/ray/pubsub/python_gcs_subscriber.cc index 995fd35d457b..5d54c4c94a1b 100644 --- a/src/ray/pubsub/python_gcs_subscriber.cc +++ b/src/ray/pubsub/python_gcs_subscriber.cc @@ -21,7 +21,7 @@ #include #include -#include "ray/gcs_client/rpc_client.h" +#include "ray/gcs_rpc_client/rpc_client.h" namespace ray { namespace pubsub { diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index d3740769297a..c3d618c73a3c 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -61,7 +61,7 @@ ray_cc_library( visibility = [":__subpackages__"], deps = [ "//src/ray/common:id", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "//src/ray/util:container_util", "@com_google_absl//absl/container:flat_hash_map", @@ -87,12 +87,12 @@ ray_cc_library( deps = [ "//src/ray/common:id", "//src/ray/common:lease", + "//src/ray/core_worker_rpc_client:core_worker_client", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/ipc:client_connection", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/raylet/scheduling:cluster_resource_scheduler", - "//src/ray/rpc:core_worker_client", + "//src/ray/raylet_ipc_client:client_connection", "//src/ray/util:process", "@com_google_absl//absl/time", ], @@ -112,8 +112,8 @@ ray_cc_library( "//src/ray/common:ray_config", "//src/ray/common:runtime_env", "//src/ray/common:status", - "//src/ray/gcs_client", - "//src/ray/ipc:client_connection", + "//src/ray/gcs_rpc_client:gcs_client", + "//src/ray/raylet_ipc_client:client_connection", "//src/ray/util:network_util", "//src/ray/util:time", "@boost//:system", @@ -163,10 +163,10 @@ ray_cc_library( ":worker_pool", "//src/ray/common:id", "//src/ray/common:ray_object", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/object_manager:object_directory", "//src/ray/protobuf:node_manager_cc_proto", "//src/ray/pubsub:subscriber_interface", - "//src/ray/rpc:core_worker_client_pool", "//src/ray/util:time", ], ) @@ -229,15 +229,16 @@ ray_cc_library( "//src/ray/common:memory_monitor", "//src/ray/common/cgroup2:cgroup_manager_interface", "//src/ray/core_worker:experimental_mutable_object_provider", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/object_manager", "//src/ray/object_manager:ownership_object_directory", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/pubsub:subscriber", "//src/ray/raylet/scheduling:scheduler", - "//src/ray/rpc:core_worker_client_pool", "//src/ray/rpc:node_manager_server", + "//src/ray/rpc:rpc_callback_types", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:container_util", @@ -285,15 +286,15 @@ ray_cc_binary( "//src/ray/common/cgroup2:cgroup_manager", "//src/ray/common/cgroup2:sysfs_cgroup_driver", "//src/ray/core_worker:metrics", - "//src/ray/gcs_client", + "//src/ray/core_worker_rpc_client:core_worker_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/object_manager:ownership_object_directory", + "//src/ray/object_manager_rpc_client:object_manager_client", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/rpc:core_worker_client", - "//src/ray/rpc:core_worker_client_pool", + "//src/ray/raylet_rpc_client:raylet_client_lib", + "//src/ray/raylet_rpc_client:raylet_client_pool", "//src/ray/rpc:metrics_agent_client", - "//src/ray/rpc:raylet_client_lib", - "//src/ray/rpc:raylet_client_pool", - "//src/ray/rpc/object_manager:object_manager_client", "//src/ray/stats:stats_lib", "//src/ray/util:cmd_line_utils", "//src/ray/util:event", diff --git a/src/ray/raylet/local_object_manager.h b/src/ray/raylet/local_object_manager.h index 407afbc2621b..5a0751947347 100644 --- a/src/ray/raylet/local_object_manager.h +++ b/src/ray/raylet/local_object_manager.h @@ -23,11 +23,11 @@ #include "ray/common/id.h" #include "ray/common/ray_object.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/object_manager/object_directory.h" #include "ray/pubsub/subscriber_interface.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" #include "ray/util/time.h" namespace ray { diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index f1bca8d6fc5a..4fc3b82559f2 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -33,15 +33,15 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/core_worker/metrics.h" -#include "ray/gcs_client/gcs_client.h" +#include "ray/core_worker_rpc_client/core_worker_client.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/object_manager/ownership_object_directory.h" +#include "ray/object_manager_rpc_client/object_manager_client.h" #include "ray/raylet/local_object_manager.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/raylet.h" -#include "ray/rpc/object_manager/object_manager_client.h" -#include "ray/rpc/raylet/raylet_client.h" -#include "ray/rpc/worker/core_worker_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/stats/tag_defs.h" #include "ray/util/cmd_line_utils.h" diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index 979a01ba3860..a177d8ba84b0 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -40,12 +40,12 @@ #include "ray/common/protobuf_utils.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric_defs.h" #include "ray/util/cmd_line_utils.h" #include "ray/util/event.h" diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index eacce783b76a..1b437bafe524 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -32,8 +32,8 @@ #include "ray/common/scheduling/resource_set.h" #include "ray/common/task/task_util.h" #include "ray/core_worker/experimental_mutable_object_provider.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" #include "ray/object_manager/object_directory.h" #include "ray/object_manager/object_manager.h" #include "ray/object_manager/plasma/client.h" @@ -49,9 +49,10 @@ #include "ray/raylet/wait_manager.h" #include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" +#include "ray/raylet_ipc_client/client_connection.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include "ray/rpc/node_manager/node_manager_server.h" -#include "ray/rpc/raylet/raylet_client_pool.h" -#include "ray/rpc/worker/core_worker_client_pool.h" +#include "ray/rpc/rpc_callback_types.h" #include "ray/util/throttler.h" namespace ray::raylet { diff --git a/src/ray/raylet/raylet.cc b/src/ray/raylet/raylet.cc index 27a1c8c1a04b..c811714bbc28 100644 --- a/src/ray/raylet/raylet.cc +++ b/src/ray/raylet/raylet.cc @@ -25,9 +25,9 @@ #include "ray/common/scheduling/resource_set.h" #include "ray/common/status.h" #include "ray/core_worker/experimental_mutable_object_provider.h" -#include "ray/ipc/client_connection.h" #include "ray/object_manager/object_manager.h" #include "ray/object_manager/ownership_object_directory.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/util/network_util.h" #include "ray/util/time.h" diff --git a/src/ray/raylet/scheduling/tests/BUILD.bazel b/src/ray/raylet/scheduling/tests/BUILD.bazel index 25483ef3b383..54d60aaa5079 100644 --- a/src/ray/raylet/scheduling/tests/BUILD.bazel +++ b/src/ray/raylet/scheduling/tests/BUILD.bazel @@ -13,7 +13,7 @@ ray_cc_test( "//src/ray/common:ray_config", "//src/ray/common:task_common", "//src/ray/common:test_utils", - "//src/ray/gcs_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/raylet/scheduling:cluster_resource_scheduler", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 419f9a4fd8af..b027e767be1f 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -31,8 +31,8 @@ ray_cc_test( ], deps = [ "//:ray_mock", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", "//src/ray/raylet:worker_pool", - "//src/ray/rpc:fake_core_worker_client", "//src/ray/util:path_utils", "//src/ray/util:raii", "@com_google_googletest//:gtest_main", @@ -51,14 +51,14 @@ ray_cc_test( "//:ray_mock", "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/gcs_client", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/core_worker_rpc_client:fake_core_worker_client", + "//src/ray/gcs_rpc_client:gcs_client", "//src/ray/object_manager:ownership_object_directory", "//src/ray/protobuf:core_worker_cc_grpc", "//src/ray/pubsub:subscriber", "//src/ray/raylet:local_object_manager", "//src/ray/raylet:worker_pool", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", "//src/ray/rpc:grpc_client", "@com_google_googletest//:gtest_main", ], @@ -186,6 +186,7 @@ ray_cc_test( "//src/ray/common:ray_object", "//src/ray/common:task_common", "//src/ray/common/cgroup2:cgroup_manager_interface", + "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/object_manager/plasma:fake_plasma_client", "//src/ray/object_manager/plasma:plasma_client", "//src/ray/observability:fake_metric", @@ -193,8 +194,7 @@ ray_cc_test( "//src/ray/raylet:local_object_manager_interface", "//src/ray/raylet:node_manager", "//src/ray/raylet/scheduling:cluster_lease_manager", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_raylet_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", "//src/ray/rpc:utils", "//src/ray/util:macros", "@com_google_googletest//:gtest_main", diff --git a/src/ray/raylet/tests/local_object_manager_test.cc b/src/ray/raylet/tests/local_object_manager_test.cc index fc813cb601c7..6fae079b106b 100644 --- a/src/ray/raylet/tests/local_object_manager_test.cc +++ b/src/ray/raylet/tests/local_object_manager_test.cc @@ -28,14 +28,14 @@ #include "mock/ray/gcs_client/gcs_client.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" -#include "ray/gcs_client/accessor.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" +#include "ray/gcs_rpc_client/accessor.h" #include "ray/object_manager/ownership_object_directory.h" #include "ray/pubsub/subscriber.h" #include "ray/raylet/tests/util.h" #include "ray/raylet/worker_pool.h" #include "ray/rpc/grpc_client.h" -#include "ray/rpc/worker/core_worker_client_pool.h" -#include "ray/rpc/worker/fake_core_worker_client.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index e8ed64f96611..cd0f412c56d5 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -33,15 +33,15 @@ #include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/flatbuf_utils.h" #include "ray/common/scheduling/cluster_resource_data.h" +#include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/object_manager/plasma/fake_plasma_client.h" #include "ray/observability/fake_metric.h" #include "ray/pubsub/fake_subscriber.h" #include "ray/raylet/local_object_manager_interface.h" #include "ray/raylet/scheduling/cluster_lease_manager.h" #include "ray/raylet/tests/util.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" #include "ray/rpc/utils.h" -#include "ray/rpc/worker/core_worker_client_pool.h" namespace ray::raylet { using ::testing::_; diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index 8e8b5171521e..623bbff5df46 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -32,8 +32,8 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/constants.h" #include "ray/common/lease/lease_spec.h" +#include "ray/core_worker_rpc_client/fake_core_worker_client.h" #include "ray/raylet/runtime_env_agent_client.h" -#include "ray/rpc/worker/fake_core_worker_client.h" #include "ray/util/path_utils.h" #include "ray/util/process.h" #include "ray/util/raii.h" diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index ec3fe8167669..ff24257803a8 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -19,8 +19,8 @@ #include #include +#include "ray/core_worker_rpc_client/core_worker_client.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/rpc/worker/core_worker_client.h" #include "src/ray/protobuf/core_worker.grpc.pb.h" #include "src/ray/protobuf/core_worker.pb.h" diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 3d55e21f2c8f..72a4843ad63e 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -21,9 +21,9 @@ #include "absl/time/time.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" -#include "ray/ipc/client_connection.h" +#include "ray/core_worker_rpc_client/core_worker_client_interface.h" #include "ray/raylet/scheduling/cluster_resource_scheduler.h" -#include "ray/rpc/worker/core_worker_client_interface.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/util/process.h" namespace ray { diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index f048ac2f6c29..448a7ee90b34 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -36,10 +36,10 @@ #include "ray/common/asio/periodical_runner.h" #include "ray/common/lease/lease.h" #include "ray/common/runtime_env_manager.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/ipc/client_connection.h" +#include "ray/gcs_rpc_client/gcs_client.h" #include "ray/raylet/runtime_env_agent_client.h" #include "ray/raylet/worker.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric.h" namespace ray { diff --git a/src/ray/ipc/BUILD.bazel b/src/ray/raylet_ipc_client/BUILD.bazel similarity index 92% rename from src/ray/ipc/BUILD.bazel rename to src/ray/raylet_ipc_client/BUILD.bazel index 1dcf5778fac3..68245b6ad889 100644 --- a/src/ray/ipc/BUILD.bazel +++ b/src/ray/raylet_ipc_client/BUILD.bazel @@ -18,7 +18,7 @@ ray_cc_library( name = "fake_raylet_ipc_client", hdrs = ["fake_raylet_ipc_client.h"], deps = [ - "//src/ray/ipc:raylet_ipc_client_interface", + "//src/ray/raylet_ipc_client:raylet_ipc_client_interface", ], ) @@ -35,8 +35,8 @@ ray_cc_library( "//src/ray/common:id", "//src/ray/common:status", "//src/ray/flatbuffers:node_manager_generated", - "//src/ray/ipc:raylet_ipc_client_interface", "//src/ray/protobuf:common_cc_proto", + "//src/ray/raylet_ipc_client:raylet_ipc_client_interface", "//src/ray/util:logging", "//src/ray/util:process", "@com_google_absl//absl/container:flat_hash_set", diff --git a/src/ray/ipc/client_connection.cc b/src/ray/raylet_ipc_client/client_connection.cc similarity index 99% rename from src/ray/ipc/client_connection.cc rename to src/ray/raylet_ipc_client/client_connection.cc index fd6c7a7dc971..5626d8822e80 100644 --- a/src/ray/ipc/client_connection.cc +++ b/src/ray/raylet_ipc_client/client_connection.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/ipc/client_connection.h" +#include "ray/raylet_ipc_client/client_connection.h" #include #include diff --git a/src/ray/ipc/client_connection.h b/src/ray/raylet_ipc_client/client_connection.h similarity index 100% rename from src/ray/ipc/client_connection.h rename to src/ray/raylet_ipc_client/client_connection.h diff --git a/src/ray/ipc/fake_raylet_ipc_client.h b/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h similarity index 98% rename from src/ray/ipc/fake_raylet_ipc_client.h rename to src/ray/raylet_ipc_client/fake_raylet_ipc_client.h index 7f0ba5daac75..e9701b5a2db4 100644 --- a/src/ray/ipc/fake_raylet_ipc_client.h +++ b/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h @@ -18,7 +18,7 @@ #include #include -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" namespace ray { namespace ipc { diff --git a/src/ray/ipc/raylet_ipc_client.cc b/src/ray/raylet_ipc_client/raylet_ipc_client.cc similarity index 99% rename from src/ray/ipc/raylet_ipc_client.cc rename to src/ray/raylet_ipc_client/raylet_ipc_client.cc index 07e5dcc305c7..aeef59cf503e 100644 --- a/src/ray/ipc/raylet_ipc_client.cc +++ b/src/ray/raylet_ipc_client/raylet_ipc_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/ipc/raylet_ipc_client.h" +#include "ray/raylet_ipc_client/raylet_ipc_client.h" #include #include @@ -23,7 +23,7 @@ #include "ray/common/flatbuf_utils.h" #include "ray/common/ray_config.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" +#include "ray/raylet_ipc_client/client_connection.h" #include "ray/util/logging.h" #include "ray/util/process.h" diff --git a/src/ray/ipc/raylet_ipc_client.h b/src/ray/raylet_ipc_client/raylet_ipc_client.h similarity index 97% rename from src/ray/ipc/raylet_ipc_client.h rename to src/ray/raylet_ipc_client/raylet_ipc_client.h index f6bf672cf799..65186721cc9d 100644 --- a/src/ray/ipc/raylet_ipc_client.h +++ b/src/ray/raylet_ipc_client/raylet_ipc_client.h @@ -25,8 +25,8 @@ #include "ray/common/status.h" #include "ray/common/status_or.h" #include "ray/flatbuffers/node_manager_generated.h" -#include "ray/ipc/client_connection.h" -#include "ray/ipc/raylet_ipc_client_interface.h" +#include "ray/raylet_ipc_client/client_connection.h" +#include "ray/raylet_ipc_client/raylet_ipc_client_interface.h" #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" diff --git a/src/ray/ipc/raylet_ipc_client_interface.h b/src/ray/raylet_ipc_client/raylet_ipc_client_interface.h similarity index 100% rename from src/ray/ipc/raylet_ipc_client_interface.h rename to src/ray/raylet_ipc_client/raylet_ipc_client_interface.h diff --git a/src/ray/ipc/tests/BUILD.bazel b/src/ray/raylet_ipc_client/tests/BUILD.bazel similarity index 86% rename from src/ray/ipc/tests/BUILD.bazel rename to src/ray/raylet_ipc_client/tests/BUILD.bazel index 9a39013a51f9..2986badba5ab 100644 --- a/src/ray/ipc/tests/BUILD.bazel +++ b/src/ray/raylet_ipc_client/tests/BUILD.bazel @@ -8,7 +8,7 @@ ray_cc_test( deps = [ "//src/ray/common:asio", "//src/ray/common:id", - "//src/ray/ipc:client_connection", + "//src/ray/raylet_ipc_client:client_connection", "//src/ray/util:network_util", "@boost//:asio", "@com_google_googletest//:gtest_main", diff --git a/src/ray/ipc/tests/client_connection_test.cc b/src/ray/raylet_ipc_client/tests/client_connection_test.cc similarity index 99% rename from src/ray/ipc/tests/client_connection_test.cc rename to src/ray/raylet_ipc_client/tests/client_connection_test.cc index 3839ccf564d9..cf10d8d94b75 100644 --- a/src/ray/ipc/tests/client_connection_test.cc +++ b/src/ray/raylet_ipc_client/tests/client_connection_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/ipc/client_connection.h" +#include "ray/raylet_ipc_client/client_connection.h" #include #include diff --git a/src/ray/raylet_rpc_client/BUILD.bazel b/src/ray/raylet_rpc_client/BUILD.bazel new file mode 100644 index 000000000000..48764472d777 --- /dev/null +++ b/src/ray/raylet_rpc_client/BUILD.bazel @@ -0,0 +1,60 @@ +load("//bazel:ray.bzl", "ray_cc_library") + +ray_cc_library( + name = "raylet_client_interface", + hdrs = [ + "raylet_client_interface.h", + ], + visibility = ["//visibility:public"], + deps = [ + "//src/ray/protobuf:autoscaler_cc_proto", + "//src/ray/protobuf:common_cc_proto", + "//src/ray/protobuf:node_manager_cc_proto", + "//src/ray/rpc:rpc_callback_types", + ], +) + +ray_cc_library( + name = "raylet_client_pool", + srcs = ["raylet_client_pool.cc"], + hdrs = [ + "raylet_client_pool.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + "//src/ray/gcs_rpc_client:gcs_client", + ], +) + +ray_cc_library( + name = "raylet_client_lib", + srcs = ["raylet_client.cc"], + hdrs = ["raylet_client.h"], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + "//src/ray/common:bundle_spec", + "//src/ray/common:ray_config", + "//src/ray/protobuf:node_manager_cc_grpc", + "//src/ray/rpc:retryable_grpc_client", + "//src/ray/rpc:rpc_callback_types", + "//src/ray/util:logging", + ], +) + +ray_cc_library( + name = "fake_raylet_client", + hdrs = [ + "fake_raylet_client.h", + ], + visibility = ["//visibility:public"], + deps = [ + ":raylet_client_interface", + "//src/ray/common:id", + "//src/ray/common:status", + "//src/ray/common/scheduling:scheduling_ids", + "//src/ray/rpc:rpc_callback_types", + "@com_google_absl//absl/time", + ], +) diff --git a/src/ray/rpc/raylet/fake_raylet_client.h b/src/ray/raylet_rpc_client/fake_raylet_client.h similarity index 99% rename from src/ray/rpc/raylet/fake_raylet_client.h rename to src/ray/raylet_rpc_client/fake_raylet_client.h index 47bc596d7e33..ff4fdc2e227f 100644 --- a/src/ray/rpc/raylet/fake_raylet_client.h +++ b/src/ray/raylet_rpc_client/fake_raylet_client.h @@ -25,7 +25,7 @@ #include "ray/common/id.h" #include "ray/common/scheduling/scheduling_ids.h" #include "ray/common/status.h" -#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" #include "ray/rpc/rpc_callback_types.h" namespace ray { diff --git a/src/ray/rpc/raylet/raylet_client.cc b/src/ray/raylet_rpc_client/raylet_client.cc similarity index 99% rename from src/ray/rpc/raylet/raylet_client.cc rename to src/ray/raylet_rpc_client/raylet_client.cc index 13e931b885a9..8bf6790d45e8 100644 --- a/src/ray/rpc/raylet/raylet_client.cc +++ b/src/ray/raylet_rpc_client/raylet_client.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/raylet/raylet_client.h" +#include "ray/raylet_rpc_client/raylet_client.h" #include #include diff --git a/src/ray/rpc/raylet/raylet_client.h b/src/ray/raylet_rpc_client/raylet_client.h similarity index 98% rename from src/ray/rpc/raylet/raylet_client.h rename to src/ray/raylet_rpc_client/raylet_client.h index ad8ea08cd37a..a053dd400fa3 100644 --- a/src/ray/rpc/raylet/raylet_client.h +++ b/src/ray/raylet_rpc_client/raylet_client.h @@ -22,9 +22,10 @@ #include #include +#include "ray/raylet_rpc_client/raylet_client_interface.h" #include "ray/rpc/grpc_client.h" -#include "ray/rpc/raylet/raylet_client_interface.h" #include "ray/rpc/retryable_grpc_client.h" +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/node_manager.grpc.pb.h" #include "src/ray/protobuf/node_manager.pb.h" diff --git a/src/ray/rpc/raylet/raylet_client_interface.h b/src/ray/raylet_rpc_client/raylet_client_interface.h similarity index 98% rename from src/ray/rpc/raylet/raylet_client_interface.h rename to src/ray/raylet_rpc_client/raylet_client_interface.h index f0d72452f547..713c69c76c9b 100644 --- a/src/ray/rpc/raylet/raylet_client_interface.h +++ b/src/ray/raylet_rpc_client/raylet_client_interface.h @@ -19,6 +19,7 @@ #include #include +#include "ray/rpc/rpc_callback_types.h" #include "src/ray/protobuf/autoscaler.pb.h" #include "src/ray/protobuf/common.pb.h" #include "src/ray/protobuf/node_manager.pb.h" @@ -41,11 +42,6 @@ class LeaseID; class NodeID; class BundleSpecification; -namespace rpc { -template -using ClientCallback = std::function; -} - class RayletClientInterface { public: /// Request to a raylet to pin a plasma object. The callback will be sent via gRPC. diff --git a/src/ray/rpc/raylet/raylet_client_pool.cc b/src/ray/raylet_rpc_client/raylet_client_pool.cc similarity index 98% rename from src/ray/rpc/raylet/raylet_client_pool.cc rename to src/ray/raylet_rpc_client/raylet_client_pool.cc index 5283f73c88ff..1952b5024a77 100644 --- a/src/ray/rpc/raylet/raylet_client_pool.cc +++ b/src/ray/raylet_rpc_client/raylet_client_pool.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include #include diff --git a/src/ray/rpc/raylet/raylet_client_pool.h b/src/ray/raylet_rpc_client/raylet_client_pool.h similarity index 96% rename from src/ray/rpc/raylet/raylet_client_pool.h rename to src/ray/raylet_rpc_client/raylet_client_pool.h index 1ab520b0a519..f00f69d58ac7 100644 --- a/src/ray/rpc/raylet/raylet_client_pool.h +++ b/src/ray/raylet_rpc_client/raylet_client_pool.h @@ -23,8 +23,8 @@ #include "absl/strings/str_cat.h" #include "absl/synchronization/mutex.h" #include "ray/common/id.h" -#include "ray/gcs_client/gcs_client.h" -#include "ray/rpc/raylet/raylet_client_interface.h" +#include "ray/gcs_rpc_client/gcs_client.h" +#include "ray/raylet_rpc_client/raylet_client_interface.h" namespace ray { namespace rpc { diff --git a/src/ray/rpc/raylet/tests/BUILD.bazel b/src/ray/raylet_rpc_client/tests/BUILD.bazel similarity index 64% rename from src/ray/rpc/raylet/tests/BUILD.bazel rename to src/ray/raylet_rpc_client/tests/BUILD.bazel index 68577a9f6dfe..ae162b2349e2 100644 --- a/src/ray/rpc/raylet/tests/BUILD.bazel +++ b/src/ray/raylet_rpc_client/tests/BUILD.bazel @@ -6,9 +6,9 @@ ray_cc_test( srcs = ["raylet_client_pool_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/gcs_client", - "//src/ray/rpc:fake_raylet_client", - "//src/ray/rpc:raylet_client_pool", + "//src/ray/gcs_rpc_client:gcs_client", + "//src/ray/raylet_rpc_client:fake_raylet_client", + "//src/ray/raylet_rpc_client:raylet_client_pool", "@com_google_googletest//:gtest", "@com_google_googletest//:gtest_main", ], diff --git a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc b/src/ray/raylet_rpc_client/tests/raylet_client_pool_test.cc similarity index 98% rename from src/ray/rpc/raylet/tests/raylet_client_pool_test.cc rename to src/ray/raylet_rpc_client/tests/raylet_client_pool_test.cc index d3d30c4c46b8..3ca92334e6ed 100644 --- a/src/ray/rpc/raylet/tests/raylet_client_pool_test.cc +++ b/src/ray/raylet_rpc_client/tests/raylet_client_pool_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/rpc/raylet/raylet_client_pool.h" +#include "ray/raylet_rpc_client/raylet_client_pool.h" #include @@ -22,7 +22,7 @@ #include #include "gmock/gmock.h" -#include "ray/rpc/raylet/fake_raylet_client.h" +#include "ray/raylet_rpc_client/fake_raylet_client.h" namespace ray { namespace rpc { diff --git a/src/ray/rpc/BUILD.bazel b/src/ray/rpc/BUILD.bazel index 199b0e60cd10..f635cfce048d 100644 --- a/src/ray/rpc/BUILD.bazel +++ b/src/ray/rpc/BUILD.bazel @@ -141,109 +141,18 @@ ray_cc_library( ) ray_cc_library( - name = "raylet_client_interface", + name = "object_manager_server", hdrs = [ - "raylet/raylet_client_interface.h", + "object_manager_server.h", ], visibility = ["//visibility:public"], deps = [ - "//src/ray/protobuf:autoscaler_cc_proto", - "//src/ray/protobuf:common_cc_proto", - "//src/ray/protobuf:node_manager_cc_proto", - ], -) - -ray_cc_library( - name = "raylet_client_pool", - srcs = ["raylet/raylet_client_pool.cc"], - hdrs = [ - "raylet/raylet_client_pool.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":raylet_client_interface", - "//src/ray/gcs_client", - ], -) - -ray_cc_library( - name = "raylet_client_lib", - srcs = ["raylet/raylet_client.cc"], - hdrs = ["raylet/raylet_client.h"], - visibility = ["//visibility:public"], - deps = [ - ":raylet_client_interface", - ":retryable_grpc_client", - "//src/ray/common:bundle_spec", - "//src/ray/common:ray_config", - "//src/ray/protobuf:node_manager_cc_grpc", - "//src/ray/util:logging", - ], -) - -ray_cc_library( - name = "fake_raylet_client", - hdrs = [ - "raylet/fake_raylet_client.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":raylet_client_interface", - "//src/ray/common:id", - "//src/ray/common:status", - "//src/ray/common/scheduling:scheduling_ids", - "@com_google_absl//absl/time", - ], -) - -ray_cc_library( - name = "core_worker_client_interface", - hdrs = [ - "worker/core_worker_client_interface.h", - ], - visibility = ["//visibility:public"], - deps = [ - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/protobuf:pubsub_cc_proto", - "//src/ray/pubsub:subscriber_interface", - ], -) - -ray_cc_library( - name = "core_worker_client", - srcs = [ - "worker/core_worker_client.cc", - ], - hdrs = [ - "worker/core_worker_client.h", - ], - deps = [ - ":core_worker_client_interface", - ":retryable_grpc_client", - "//src/ray/protobuf:core_worker_cc_grpc", - "//src/ray/protobuf:core_worker_cc_proto", - "//src/ray/util:logging", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "core_worker_client_pool", - srcs = [ - "worker/core_worker_client_pool.cc", - ], - hdrs = [ - "worker/core_worker_client_pool.h", - ], - deps = [ - ":core_worker_client_interface", - ":raylet_client_pool", - "//src/ray/common:id", - "//src/ray/common:status", - "//src/ray/gcs_client", - "//src/ray/util:logging", - "//src/ray/util:network_util", - "@com_google_absl//absl/synchronization", + "//src/ray/common:asio", + "//src/ray/object_manager:object_manager_grpc_client_manager", + "//src/ray/protobuf:object_manager_cc_grpc", + "//src/ray/rpc:grpc_server", + "@boost//:asio", + "@com_github_grpc_grpc//:grpc++", ], ) @@ -257,18 +166,6 @@ ray_cc_library( ], ) -ray_cc_library( - name = "fake_core_worker_client", - hdrs = [ - "worker/fake_core_worker_client.h", - ], - visibility = ["//visibility:public"], - deps = [ - ":core_worker_client_interface", - "@com_google_absl//absl/synchronization", - ], -) - ray_cc_library( name = "rpc_callback_types", hdrs = ["rpc_callback_types.h"], diff --git a/src/ray/rpc/grpc_server.cc b/src/ray/rpc/grpc_server.cc index 047ff734e94b..542326de0bce 100644 --- a/src/ray/rpc/grpc_server.cc +++ b/src/ray/rpc/grpc_server.cc @@ -25,6 +25,7 @@ #include #include "ray/common/ray_config.h" +#include "ray/common/status.h" #include "ray/rpc/common.h" #include "ray/util/network_util.h" #include "ray/util/thread_utils.h" diff --git a/src/ray/rpc/grpc_server.h b/src/ray/rpc/grpc_server.h index db63eed08020..0727b4d550f3 100644 --- a/src/ray/rpc/grpc_server.h +++ b/src/ray/rpc/grpc_server.h @@ -24,7 +24,6 @@ #include #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/status.h" #include "ray/rpc/server_call.h" namespace ray { diff --git a/src/ray/rpc/object_manager/object_manager_server.h b/src/ray/rpc/object_manager_server.h similarity index 100% rename from src/ray/rpc/object_manager/object_manager_server.h rename to src/ray/rpc/object_manager_server.h diff --git a/src/ray/rpc/tests/BUILD.bazel b/src/ray/rpc/tests/BUILD.bazel index 749b257dbf2b..5fa8b14cc4db 100644 --- a/src/ray/rpc/tests/BUILD.bazel +++ b/src/ray/rpc/tests/BUILD.bazel @@ -28,21 +28,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "core_worker_client_pool_test", - size = "small", - srcs = [ - "core_worker_client_pool_test.cc", - ], - tags = ["team:core"], - deps = [ - "//:ray_mock", - "//src/ray/rpc:core_worker_client_pool", - "//src/ray/rpc:fake_core_worker_client", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "metrics_agent_client_test", size = "small", From c3658d9c3cd89f6eeea43837189e3c0e7ce291d2 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Tue, 23 Sep 2025 19:34:49 +0800 Subject: [PATCH 1342/1566] [Fix] Fix typos: correct "stablity" to "stability". (#56730) I found some typos where "stability" was mistakenly written as "stablity". This PR corrects them. Signed-off-by: daiping8 Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/savemode.py | 2 +- python/ray/util/accelerators/tpu.py | 2 +- rllib/models/tests/test_distributions.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/data/_internal/savemode.py b/python/ray/data/_internal/savemode.py index e4f9703be09b..8317904e420f 100644 --- a/python/ray/data/_internal/savemode.py +++ b/python/ray/data/_internal/savemode.py @@ -3,7 +3,7 @@ from ray.util.annotations import PublicAPI -@PublicAPI(stablity="alpha") +@PublicAPI(stability="alpha") class SaveMode(str, Enum): APPEND = "append" OVERWRITE = "overwrite" diff --git a/python/ray/util/accelerators/tpu.py b/python/ray/util/accelerators/tpu.py index ff31581d7ca5..4ba38bf46500 100644 --- a/python/ray/util/accelerators/tpu.py +++ b/python/ray/util/accelerators/tpu.py @@ -30,7 +30,7 @@ def get_current_pod_worker_count() -> Optional[int]: return TPUAcceleratorManager.get_num_workers_in_current_tpu_pod() -@PublicAPI(stablity="alpha") +@PublicAPI(stability="alpha") def get_num_tpu_chips_on_node() -> int: """ Return the number of TPU chips on the node. diff --git a/rllib/models/tests/test_distributions.py b/rllib/models/tests/test_distributions.py index 5a519031f6ae..c1addfff79db 100644 --- a/rllib/models/tests/test_distributions.py +++ b/rllib/models/tests/test_distributions.py @@ -239,7 +239,7 @@ def test_diag_gaussian(self): ) sample1.mean().backward(retain_graph=True) - # check stablity against skewed inputs + # check stability against skewed inputs check_stability( TorchDiagGaussian, sample_input={"loc": loc_tens, "scale": scale_tens}, From 14ceb8ab95e13ba52d97a1567b724fb7a301e4a3 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 23 Sep 2025 04:35:53 -0700 Subject: [PATCH 1343/1566] [core] Fixing ray_actors metric for concurrent actors. (#56598) Currently, the `ray_actors` metric will not report the correct status if the actor is multi-threaded or async. In this PR, I'm * I'm removing the sub-states `RUNNING_IN_RAY_WAIT` and `RUNNING_IN_RAY_GET` from the actor states metric. * I'm renaming the other two sub-states of ALIVE to `ALIVE_IDLE` an `ALIVE_RUNNING_TASKS`. Also updating out of date documentation. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- .../reference/system-metrics.rst | 2 +- .../dashboards/default_dashboard_panels.py | 4 +-- python/ray/tests/test_actor_state_metrics.py | 12 ++++---- src/ray/core_worker/core_worker.cc | 30 +++++-------------- src/ray/stats/metric_defs.cc | 13 ++++---- 5 files changed, 22 insertions(+), 39 deletions(-) diff --git a/doc/source/ray-observability/reference/system-metrics.rst b/doc/source/ray-observability/reference/system-metrics.rst index b7ba9d889f27..7fbcaf10ffc6 100644 --- a/doc/source/ray-observability/reference/system-metrics.rst +++ b/doc/source/ray-observability/reference/system-metrics.rst @@ -19,7 +19,7 @@ Ray exports a number of system metrics, which provide introspection into the sta - Current number of tasks (both remote functions and actor calls) by state. The State label (e.g., RUNNING, FINISHED, FAILED) describes the state of the task. See `rpc::TaskState `_ for more information. The function/method name is available as the Name label. If the task was retried due to failure or reconstruction, the IsRetry label will be set to "1", otherwise "0". * - `ray_actors` - `Name`, `State` - - Current number of actors in a particular state. The State label is described by `rpc::ActorTableData `_ proto in gcs.proto. The actor class name is available in the Name label. + - Current number of actors in each state described in `rpc::ActorTableData::ActorState `. ALIVE has two sub-states: ALIVE_IDLE, and ALIVE_RUNNING_TASKS. An actor is considered ALIVE_IDLE if it is not running any tasks. * - `ray_resources` - `Name`, `State`, `InstanceId` - Logical resource usage for each node of the cluster. Each resource has some quantity that is in either `USED or AVAILABLE state `_. The Name label defines the resource name (e.g., CPU, GPU). diff --git a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py index 72d43ccbd8b5..4c394e50c13a 100644 --- a/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py +++ b/python/ray/dashboard/modules/metrics/dashboards/default_dashboard_panels.py @@ -175,7 +175,7 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=42, - title="Active Actors by State", + title="Alive Actors by State", description="Current count of alive actors (i.e. not dead/terminated), grouped by state.\n\nState: the actor state, as described by rpc::ActorTableData proto in gcs.proto.", unit="actors", targets=[ @@ -187,7 +187,7 @@ def max_plus_pending(max_resource, pending_resource): ), Panel( id=36, - title="Active Actors by Name", + title="Alive Actors by Name", description="Current count of alive actors, grouped by actor name.", unit="actors", targets=[ diff --git a/python/ray/tests/test_actor_state_metrics.py b/python/ray/tests/test_actor_state_metrics.py index c03ffe5560a2..cf242290c944 100644 --- a/python/ray/tests/test_actor_state_metrics.py +++ b/python/ray/tests/test_actor_state_metrics.py @@ -83,7 +83,7 @@ def sleep(): # Test creation states. expected = { "ALIVE": 3, - "IDLE": 3, + "ALIVE_IDLE": 3, "PENDING_CREATION": 1, } wait_for_condition( @@ -98,9 +98,7 @@ def sleep(): c.wait.remote() expected = { "ALIVE": 3, - "RUNNING_TASK": 1, - "RUNNING_IN_RAY_GET": 1, - "RUNNING_IN_RAY_WAIT": 1, + "ALIVE_RUNNING_TASKS": 3, "PENDING_CREATION": 1, } wait_for_condition( @@ -127,7 +125,7 @@ def ping(self): expected = { "ALIVE": 1, - "IDLE": 1, + "ALIVE_IDLE": 1, "DEAD": 2, } wait_for_condition( @@ -225,7 +223,7 @@ async def do_get(self): a.sleep.remote() expected = { "ALIVE": 1, - "RUNNING_TASK": 1, + "ALIVE_RUNNING_TASKS": 1, } wait_for_condition( lambda: actors_by_state(info) == expected, @@ -238,7 +236,7 @@ async def do_get(self): a.do_get.remote() expected = { "ALIVE": 1, - "RUNNING_IN_RAY_GET": 1, + "ALIVE_RUNNING_TASKS": 1, } wait_for_condition( lambda: actors_by_state(info) == expected, diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 07eacc888968..cf1dedc44b15 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -222,36 +222,20 @@ void TaskCounter::RecordMetrics() { absl::MutexLock l(&mu_); counter_.FlushOnChangeCallbacks(); if (IsActor()) { - float running = 0.0; - float in_get = 0.0; - float in_wait = 0.0; + float running_tasks = 0.0; float idle = 0.0; - if (running_in_wait_counter_.Total() > 0) { - in_wait = 1.0; - } else if (running_in_get_counter_.Total() > 0) { - in_get = 1.0; - } else if (num_tasks_running_ > 0) { - running = 1.0; - } else { + if (num_tasks_running_ == 0) { idle = 1.0; + } else { + running_tasks = 1.0; } ray::stats::STATS_actors.Record(idle, - {{"State", "IDLE"}, - {"Name", actor_name_}, - {"Source", "executor"}, - {"JobId", job_id_}}); - ray::stats::STATS_actors.Record(running, - {{"State", "RUNNING_TASK"}, - {"Name", actor_name_}, - {"Source", "executor"}, - {"JobId", job_id_}}); - ray::stats::STATS_actors.Record(in_get, - {{"State", "RUNNING_IN_RAY_GET"}, + {{"State", "ALIVE_IDLE"}, {"Name", actor_name_}, {"Source", "executor"}, {"JobId", job_id_}}); - ray::stats::STATS_actors.Record(in_wait, - {{"State", "RUNNING_IN_RAY_WAIT"}, + ray::stats::STATS_actors.Record(running_tasks, + {{"State", "ALIVE_RUNNING_TASKS"}, {"Name", actor_name_}, {"Source", "executor"}, {"JobId", job_id_}}); diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index 1cd15215b406..d178430dda8f 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -44,13 +44,14 @@ namespace ray::stats { /// we use the "Source" required label. DEFINE_stats( actors, - "Current number of actors currently in a particular state.", + "An actor can be in one of DEPENDENCIES_UNREADY, PENDING_CREATION, ALIVE, " + "ALIVE_IDLE, ALIVE_RUNNING_TASKS, RESTARTING, or DEAD states. " + "An actor is considered ALIVE_IDLE if it is not executing any tasks.", // State: the actor state, which is from rpc::ActorTableData::ActorState, - // For ALIVE actor the sub-state can be IDLE, RUNNING_TASK, - // RUNNING_IN_RAY_GET, and RUNNING_IN_RAY_WAIT. - // Name: the name of actor class (Keep in sync with the TASK_OR_ACTOR_NAME_TAG_KEY in - // python/ray/_private/telemetry/metric_cardinality.py) Source: component reporting, - // e.g., "gcs" or "executor". + // For ALIVE actor the sub-state can be ALIVE_IDLE, ALIVE_RUNNING_TASKS. + // Name: the name of actor class (Keep in sync with the + // TASK_OR_ACTOR_NAME_TAG_KEY in python/ray/_private/telemetry/metric_cardinality.py) + // Source: component reporting, e.g., "gcs" or "executor". ("State", "Name", "Source", "JobId"), (), ray::stats::GAUGE); From f405dd6035001b17c9ec0521d2db33011cbf15ad Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 23 Sep 2025 17:57:04 +0530 Subject: [PATCH 1344/1566] [core] Add node_id validation in NodeAffinitySchedulingStrategy (#56708) passing an invalid node_id to `NodeAffinitySchedulingStrategy` leads to a `RAY_CHECK(!node_id.IsNil())` failure, which is treated as `an unexpected system state`. This pr adds validations to catch this issue and throw a more user friendly error message. code to repro: ```python import ray @ray.remote def f(): pass ray.get(f.options(scheduling_strategy=ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy(node_id="foobar", soft=True)).remote()) ``` error message we threw previously: ``` [2025-09-15 09:28:36,668 E 10514 114390748] id.h:461: incorrect h ex string length: 2 * 28 != 6, hex string: foobar [2025-09-15 09:28:36,859 C 10514 114391697] accessor.cc:670: An unexpected system state has occurred. You have likely discovered a bug in Ray. Please report this issue at https://github.com/ray- project/ray/issues and we'll work with you to fix it. Check faile d: !node_id.IsNil() ``` error message we throw (this pr) ``` ValueError: Invalid node_id 'foobar'. Node ID must be a valid hex string. To get a list of all nodes and their IDs in your cluster, use ray.nodes() refer to learn more https://docs.ray.io/en/latest/ray-core/miscellaneous.html#node-information ``` --------- Signed-off-by: sampan Co-authored-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .../modules/job/tests/test_job_manager.py | 6 +- python/ray/data/tests/test_sort.py | 22 ++-- .../ray/data/tests/test_streaming_executor.py | 17 ++- .../tests/unit/test_deployment_scheduler.py | 48 ++++--- .../serve/tests/unit/test_deployment_state.py | 123 ++++++++++-------- .../unit/test_node_affinity_validation.py | 30 ++++- python/ray/util/scheduling_strategies.py | 16 ++- 7 files changed, 165 insertions(+), 97 deletions(-) diff --git a/python/ray/dashboard/modules/job/tests/test_job_manager.py b/python/ray/dashboard/modules/job/tests/test_job_manager.py index 8f6c37d73d13..6e886adf42da 100644 --- a/python/ray/dashboard/modules/job/tests/test_job_manager.py +++ b/python/ray/dashboard/modules/job/tests/test_job_manager.py @@ -22,6 +22,7 @@ KV_NAMESPACE_JOB, RAY_ADDRESS_ENVIRONMENT_VARIABLE, ) +from ray._raylet import NodeID from ray.dashboard.consts import ( RAY_JOB_ALLOW_DRIVER_ON_WORKER_NODES_ENV_VAR, RAY_JOB_START_TIMEOUT_SECONDS_ENV_VAR, @@ -61,6 +62,7 @@ async def test_get_scheduling_strategy( gcs_client = ray._private.worker.global_worker.gcs_client job_manager = JobManager(gcs_client, tmp_path) + node_id = NodeID.from_random().hex() # If no head node id is found, we should use "DEFAULT". await gcs_client.async_internal_kv_del( @@ -74,7 +76,7 @@ async def test_get_scheduling_strategy( # Add a head node id to the internal KV to simulate what is done in node_head.py. await gcs_client.async_internal_kv_put( KV_HEAD_NODE_ID_KEY, - "123456".encode(), + node_id.encode(), True, namespace=KV_NAMESPACE_JOB, ) @@ -82,7 +84,7 @@ async def test_get_scheduling_strategy( if resources_specified: assert strategy == "DEFAULT" else: - expected_strategy = NodeAffinitySchedulingStrategy("123456", soft=False) + expected_strategy = NodeAffinitySchedulingStrategy(node_id, soft=False) assert expected_strategy.node_id == strategy.node_id assert expected_strategy.soft == strategy.soft diff --git a/python/ray/data/tests/test_sort.py b/python/ray/data/tests/test_sort.py index fc7268bcfb17..ee89063223e2 100644 --- a/python/ray/data/tests/test_sort.py +++ b/python/ray/data/tests/test_sort.py @@ -8,6 +8,7 @@ import pytest import ray +from ray._raylet import NodeID from ray.data._internal.planner.exchange.push_based_shuffle_task_scheduler import ( PushBasedShuffleTaskScheduler, ) @@ -444,21 +445,24 @@ def _test(num_input_blocks, merge_factor, num_cpus_per_node_map): expected {num_reducers_per_merge_idx[i]}.""" assert num_reducers > 0 + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() + node_id_3 = NodeID.from_random().hex() for num_cpus in range(1, 20): - _test(20, 3, {"node1": num_cpus}) - _test(20, 3, {"node1": 100}) - _test(100, 3, {"node1": 10, "node2": 10, "node3": 10}) - _test(100, 10, {"node1": 10, "node2": 10, "node3": 10}) + _test(20, 3, {node_id_1: num_cpus}) + _test(20, 3, {node_id_1: 100}) + _test(100, 3, {node_id_1: 10, node_id_2: 10, node_id_3: 10}) + _test(100, 10, {node_id_1: 10, node_id_2: 10, node_id_3: 10}) # Regression test for https://github.com/ray-project/ray/issues/25863. - _test(1000, 2, {f"node{i}": 16 for i in range(20)}) + _test(1000, 2, {NodeID.from_random().hex(): 16 for i in range(20)}) # Regression test for https://github.com/ray-project/ray/issues/37754. - _test(260, 2, {"node1": 128}) - _test(1, 2, {"node1": 128}) + _test(260, 2, {node_id_1: 128}) + _test(1, 2, {node_id_1: 128}) # Test float merge_factor. for cluster_config in [ - {"node1": 10}, - {"node1": 10, "node2": 10}, + {node_id_1: 10}, + {node_id_1: 10, node_id_2: 10}, ]: _test(100, 1, cluster_config) _test(100, 1.3, cluster_config) diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index 5c6b8b26b2cb..274b5f10159d 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -8,6 +8,7 @@ import ray from ray._private.test_utils import run_string_as_driver_nonblocking +from ray._raylet import NodeID from ray.data._internal.datasource.parquet_datasink import ParquetDatasink from ray.data._internal.datasource.parquet_datasource import ParquetDatasource from ray.data._internal.execution.backpressure_policy.resource_budget_backpressure_policy import ( @@ -506,21 +507,23 @@ def test_configure_output_locality(mock_scale_up): assert s2.node_id == ray.get_runtime_context().get_node_id() # Multi node locality. + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() build_streaming_topology( - o3, ExecutionOptions(locality_with_output=["node1", "node2"]) + o3, ExecutionOptions(locality_with_output=[node_id_1, node_id_2]) ) s1a = o2._get_runtime_ray_remote_args()["scheduling_strategy"] s1b = o2._get_runtime_ray_remote_args()["scheduling_strategy"] s1c = o2._get_runtime_ray_remote_args()["scheduling_strategy"] - assert s1a.node_id == "node1" - assert s1b.node_id == "node2" - assert s1c.node_id == "node1" + assert s1a.node_id == node_id_1 + assert s1b.node_id == node_id_2 + assert s1c.node_id == node_id_1 s2a = o3._get_runtime_ray_remote_args()["scheduling_strategy"] s2b = o3._get_runtime_ray_remote_args()["scheduling_strategy"] s2c = o3._get_runtime_ray_remote_args()["scheduling_strategy"] - assert s2a.node_id == "node1" - assert s2b.node_id == "node2" - assert s2c.node_id == "node1" + assert s2a.node_id == node_id_1 + assert s2b.node_id == node_id_2 + assert s2c.node_id == node_id_1 class OpBufferQueueTest(unittest.TestCase): diff --git a/python/ray/serve/tests/unit/test_deployment_scheduler.py b/python/ray/serve/tests/unit/test_deployment_scheduler.py index 1c6fab18a3d8..5fbb385fc4c9 100644 --- a/python/ray/serve/tests/unit/test_deployment_scheduler.py +++ b/python/ray/serve/tests/unit/test_deployment_scheduler.py @@ -8,6 +8,7 @@ import pytest import ray +from ray._raylet import NodeID from ray.serve._private import default_impl from ray.serve._private.common import DeploymentID, ReplicaID from ray.serve._private.config import ReplicaConfig @@ -522,16 +523,17 @@ def set_scheduling_strategy(actor_handle, placement_group): on_scheduled=set_scheduling_strategy, ) scheduler._pending_replicas[d_id][r1_id] = scheduling_request + node_id_1 = NodeID.from_random().hex() scheduler._schedule_replica( scheduling_request=scheduling_request, default_scheduling_strategy="some_default", - target_node_id="node1", + target_node_id=node_id_1, target_labels={"abc": In("xyz")}, # this should get ignored ) assert isinstance(scheduling_strategy, PlacementGroupSchedulingStrategy) assert len(scheduler._launching_replicas[d_id]) == 2 assert not scheduler._launching_replicas[d_id][r1_id].target_labels - assert scheduler._launching_replicas[d_id][r1_id].target_node_id == "node1" + assert scheduler._launching_replicas[d_id][r1_id].target_node_id == node_id_1 # Target node id without placement group r2_id = ReplicaID(unique_id="r2", deployment_id=d_id) @@ -547,14 +549,14 @@ def set_scheduling_strategy(actor_handle, placement_group): scheduler._schedule_replica( scheduling_request=scheduling_request, default_scheduling_strategy="some_default", - target_node_id="node1", + target_node_id=node_id_1, target_labels={"abc": In("xyz")}, # this should get ignored ) assert isinstance(scheduling_strategy, NodeAffinitySchedulingStrategy) - assert scheduling_strategy.node_id == "node1" + assert scheduling_strategy.node_id == node_id_1 assert len(scheduler._launching_replicas[d_id]) == 3 assert not scheduler._launching_replicas[d_id][r2_id].target_labels - assert scheduler._launching_replicas[d_id][r2_id].target_node_id == "node1" + assert scheduler._launching_replicas[d_id][r2_id].target_node_id == node_id_1 # Target labels r3_id = ReplicaID(unique_id="r3", deployment_id=d_id) @@ -844,10 +846,12 @@ class TestCompactScheduling: def test_basic(self): d_id1 = DeploymentID(name="deployment1") d_id2 = DeploymentID(name="deployment2") + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() cluster_node_info_cache = MockClusterNodeInfoCache() - cluster_node_info_cache.add_node("node1", {"CPU": 3}) - cluster_node_info_cache.add_node("node2", {"CPU": 2}) + cluster_node_info_cache.add_node(node_id_1, {"CPU": 3}) + cluster_node_info_cache.add_node(node_id_2, {"CPU": 2}) scheduler = default_impl.create_deployment_scheduler( cluster_node_info_cache, head_node_id_override="fake-head-node-id", @@ -901,7 +905,7 @@ def test_basic(self): assert len(call.args) == 1 scheduling_strategy = call.args[0]._options["scheduling_strategy"] assert isinstance(scheduling_strategy, NodeAffinitySchedulingStrategy) - assert scheduling_strategy.node_id == "node2" + assert scheduling_strategy.node_id == node_id_2 assert len(on_scheduled_mock2.call_args_list) == 1 call = on_scheduled_mock2.call_args_list[0] @@ -909,7 +913,7 @@ def test_basic(self): assert len(call.args) == 1 scheduling_strategy = call.args[0]._options["scheduling_strategy"] assert isinstance(scheduling_strategy, NodeAffinitySchedulingStrategy) - assert scheduling_strategy.node_id == "node1" + assert scheduling_strategy.node_id == node_id_1 def test_placement_groups(self): d_id1 = DeploymentID(name="deployment1") @@ -999,10 +1003,12 @@ def test_placement_groups(self): def test_heterogeneous_resources(self): d_id1 = DeploymentID(name="deployment1") d_id2 = DeploymentID(name="deployment2") + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() cluster_node_info_cache = MockClusterNodeInfoCache() - cluster_node_info_cache.add_node("node1", {"GPU": 4, "CPU": 6}) - cluster_node_info_cache.add_node("node2", {"GPU": 10, "CPU": 2}) + cluster_node_info_cache.add_node(node_id_1, {"GPU": 4, "CPU": 6}) + cluster_node_info_cache.add_node(node_id_2, {"GPU": 10, "CPU": 2}) scheduler = default_impl.create_deployment_scheduler( cluster_node_info_cache, head_node_id_override="fake-head-node-id", @@ -1061,7 +1067,7 @@ def test_heterogeneous_resources(self): assert len(call.args) == 1 scheduling_strategy = call.args[0]._options["scheduling_strategy"] assert isinstance(scheduling_strategy, NodeAffinitySchedulingStrategy) - assert scheduling_strategy.node_id == "node1" + assert scheduling_strategy.node_id == node_id_1 assert call.kwargs == {"placement_group": None} def test_max_replicas_per_node(self): @@ -1070,10 +1076,12 @@ def test_max_replicas_per_node(self): """ d_id1 = DeploymentID(name="deployment1") + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() cluster_node_info_cache = MockClusterNodeInfoCache() # Should try to schedule on node1 to minimize fragmentation - cluster_node_info_cache.add_node("node1", {"CPU": 20}) - cluster_node_info_cache.add_node("node2", {"CPU": 21}) + cluster_node_info_cache.add_node(node_id_1, {"CPU": 20}) + cluster_node_info_cache.add_node(node_id_2, {"CPU": 21}) scheduler = default_impl.create_deployment_scheduler( cluster_node_info_cache, @@ -1118,14 +1126,16 @@ def on_scheduled(actor_handle, placement_group): }, downscales={}, ) - assert state["node1"] == 4 - assert state["node2"] == 1 + assert state[node_id_1] == 4 + assert state[node_id_2] == 1 def test_custom_resources(self): d_id = DeploymentID(name="deployment1") + node_id_1 = NodeID.from_random().hex() + node_id_2 = NodeID.from_random().hex() cluster_node_info_cache = MockClusterNodeInfoCache() - cluster_node_info_cache.add_node("node1", {"CPU": 3}) - cluster_node_info_cache.add_node("node2", {"CPU": 100, "customA": 1}) + cluster_node_info_cache.add_node(node_id_1, {"CPU": 3}) + cluster_node_info_cache.add_node(node_id_2, {"CPU": 100, "customA": 1}) scheduler = default_impl.create_deployment_scheduler( cluster_node_info_cache, @@ -1147,7 +1157,7 @@ def test_custom_resources(self): def on_scheduled(actor_handle, placement_group): scheduling_strategy = actor_handle._options["scheduling_strategy"] assert isinstance(scheduling_strategy, NodeAffinitySchedulingStrategy) - assert scheduling_strategy.node_id == "node2" + assert scheduling_strategy.node_id == node_id_2 scheduler.schedule( upscales={ diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index 7a89c537d437..db96ab8cab88 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -6,6 +6,7 @@ import pytest from ray._common.ray_constants import DEFAULT_MAX_CONCURRENCY_ASYNC +from ray._raylet import NodeID from ray.serve._private.autoscaling_state import AutoscalingStateManager from ray.serve._private.common import ( RUNNING_REQUESTS_KEY, @@ -365,7 +366,7 @@ def mock_deployment_state_manager( ): kv_store = MockKVStore() cluster_node_info_cache = MockClusterNodeInfoCache() - cluster_node_info_cache.add_node("node-id") + cluster_node_info_cache.add_node(NodeID.from_random().hex()) autoscaling_state_manager = AutoscalingStateManager() def create_deployment_state_manager( @@ -2691,12 +2692,14 @@ def test_get_active_node_ids(mock_deployment_state_manager): a list of all node ids. `get_active_node_ids()` should return a set of all node ids. """ - node_ids = ("node1", "node2", "node2") + node1 = NodeID.from_random().hex() + node2 = NodeID.from_random().hex() + node_ids = (node1, node2, node2) create_dsm, _, cluster_node_info_cache, _ = mock_deployment_state_manager dsm = create_dsm() - cluster_node_info_cache.add_node("node1") - cluster_node_info_cache.add_node("node2") + cluster_node_info_cache.add_node(node1) + cluster_node_info_cache.add_node(node2) # Deploy deployment with version "1" and 3 replicas info1, v1 = deployment_info(version="1", num_replicas=3) @@ -2738,12 +2741,14 @@ def test_get_active_node_ids_none(mock_deployment_state_manager): When the running replicas has None as the node id, `get_active_node_ids()` should not include it in the set. """ - node_ids = ("node1", "node2", "node2") + node1 = NodeID.from_random().hex() + node2 = NodeID.from_random().hex() + node_ids = (node1, node2, node2) create_dsm, _, cluster_node_info_cache, _ = mock_deployment_state_manager dsm = create_dsm() - cluster_node_info_cache.add_node("node1") - cluster_node_info_cache.add_node("node2") + cluster_node_info_cache.add_node(node1) + cluster_node_info_cache.add_node(node2) # Deploy deployment with version "1" and 3 replicas info1, v1 = deployment_info(version="1", num_replicas=3) @@ -4458,8 +4463,10 @@ def test_draining_start_then_stop_replica(self, mock_deployment_state_manager): """ create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4474,16 +4481,16 @@ def test_draining_start_then_stop_replica(self, mock_deployment_state_manager): # Drain node-2 with deadline 60. Since the replicas are still # starting and we don't know the actor node id yet nothing happens - cluster_node_info_cache.draining_nodes = {"node-2": 60 * 1000} + cluster_node_info_cache.draining_nodes = {node_2: 60 * 1000} dsm.update() check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) one_replica, another_replica = ds._replicas.get() - one_replica._actor.set_node_id("node-1") + one_replica._actor.set_node_id(node_1) one_replica._actor.set_ready() - another_replica._actor.set_node_id("node-2") + another_replica._actor.set_node_id(node_2) another_replica._actor.set_ready() # Try to start a new replica before initiating the graceful stop @@ -4548,8 +4555,10 @@ def test_draining_stop_replica_before_deadline(self, mock_deployment_state_manag """ create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4564,16 +4573,16 @@ def test_draining_stop_replica_before_deadline(self, mock_deployment_state_manag # Drain node-2 with deadline 60. Since the replicas are still # starting and we don't know the actor node id yet nothing happens - cluster_node_info_cache.draining_nodes = {"node-2": 60 * 1000} + cluster_node_info_cache.draining_nodes = {node_2: 60 * 1000} dsm.update() check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) one_replica, another_replica = ds._replicas.get() - one_replica._actor.set_node_id("node-1") + one_replica._actor.set_node_id(node_1) one_replica._actor.set_ready() - another_replica._actor.set_node_id("node-2") + another_replica._actor.set_node_id(node_2) another_replica._actor.set_ready() # Try to start a new replica before initiating the graceful stop @@ -4628,10 +4637,14 @@ def test_draining_multiple_nodes(self, mock_deployment_state_manager): """ create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") - cluster_node_info_cache.add_node("node-3") - cluster_node_info_cache.add_node("node-4") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + node_3 = NodeID.from_random().hex() + node_4 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) + cluster_node_info_cache.add_node(node_3) + cluster_node_info_cache.add_node(node_4) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4647,15 +4660,15 @@ def test_draining_multiple_nodes(self, mock_deployment_state_manager): # Drain node-2 with deadline 60. Since the replicas are still # starting and we don't know the actor node id yet nothing happens cluster_node_info_cache.draining_nodes = { - "node-2": 60 * 1000, - "node-3": 100 * 1000, - "node-4": 40 * 1000, + node_2: 60 * 1000, + node_3: 100 * 1000, + node_4: 40 * 1000, } dsm.update() check_counts(ds, total=4, by_state=[(ReplicaState.STARTING, 4, v1)]) for i, replica in enumerate(ds._replicas.get()): - replica._actor.set_node_id(f"node-{i+1}") + replica._actor.set_node_id([node_1, node_2, node_3, node_4][i]) replica._actor.set_ready() # Try to start new replicas before initiating the graceful stop @@ -4685,10 +4698,10 @@ def test_draining_multiple_nodes(self, mock_deployment_state_manager): (ReplicaState.STARTING, 2, v1), ], ) - # The replica on node-4 should be selected for graceful termination, - # because node-4 has the earliest deadline. + # The replica on node_4 should be selected for graceful termination, + # because node_4 has the earliest deadline. stopping_replica = ds._replicas.get([ReplicaState.STOPPING])[0] - assert stopping_replica.actor_node_id == "node-4" + assert stopping_replica.actor_node_id == node_4 stopping_replica._actor.set_done_stopping() dsm.update() @@ -4706,10 +4719,10 @@ def test_draining_multiple_nodes(self, mock_deployment_state_manager): (ReplicaState.STARTING, 1, v1), ], ) - # The replica on node-2 should be selected for graceful termination, - # because node-2 has the second earliest deadline. + # The replica on node_2 should be selected for graceful termination, + # because node_2 has the second earliest deadline. stopping_replica = ds._replicas.get([ReplicaState.STOPPING])[0] - assert stopping_replica.actor_node_id == "node-2" + assert stopping_replica.actor_node_id == node_2 stopping_replica._actor.set_done_stopping() dsm.update() @@ -4726,10 +4739,10 @@ def test_draining_multiple_nodes(self, mock_deployment_state_manager): ], ) - # The replica on node-3 should be selected for graceful termination - # last because node-3 has the latest deadline. + # The replica on node_3 should be selected for graceful termination + # last because node_3 has the latest deadline. stopping_replica = ds._replicas.get([ReplicaState.STOPPING])[0] - assert stopping_replica.actor_node_id == "node-3" + assert stopping_replica.actor_node_id == node_3 stopping_replica._actor.set_done_stopping() dsm.update() @@ -4741,8 +4754,10 @@ def test_replicas_unhealthy_on_draining_node(self, mock_deployment_state_manager """Replicas pending migration should be stopped if unhealthy.""" create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4756,14 +4771,14 @@ def test_replicas_unhealthy_on_draining_node(self, mock_deployment_state_manager check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) # Drain node-2 with deadline 60. - cluster_node_info_cache.draining_nodes = {"node-2": 60 * 1000} + cluster_node_info_cache.draining_nodes = {node_2: 60 * 1000} dsm.update() check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) one_replica, another_replica = ds._replicas.get() - one_replica._actor.set_node_id("node-1") - another_replica._actor.set_node_id("node-2") + one_replica._actor.set_node_id(node_1) + another_replica._actor.set_node_id(node_2) one_replica._actor.set_ready() another_replica._actor.set_ready() @@ -4813,8 +4828,10 @@ def test_starting_replica_on_draining_node(self, mock_deployment_state_manager): """When a node gets drained, replicas in STARTING state should be stopped.""" create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4827,11 +4844,11 @@ def test_starting_replica_on_draining_node(self, mock_deployment_state_manager): dsm.update() check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) - # Mark replica on node-1 as ready, but replica on node-2 is + # Mark replica on node_1 as ready, but replica on node_2 is # still starting one_replica, another_replica = ds._replicas.get() - one_replica._actor.set_node_id("node-1") - another_replica._actor.set_node_id("node-2") + one_replica._actor.set_node_id(node_1) + another_replica._actor.set_node_id(node_2) one_replica._actor.set_ready() dsm.update() check_counts( @@ -4842,7 +4859,7 @@ def test_starting_replica_on_draining_node(self, mock_deployment_state_manager): # Drain node-2. The starting replica should be stopped immediately # without waiting for the replica to start. - cluster_node_info_cache.draining_nodes = {"node-2": 60 * 1000} + cluster_node_info_cache.draining_nodes = {node_2: 60 * 1000} dsm.update() check_counts( ds, @@ -4854,13 +4871,13 @@ def test_starting_replica_on_draining_node(self, mock_deployment_state_manager): ], ) stopping_replica = ds._replicas.get([ReplicaState.STOPPING])[0] - assert stopping_replica.actor_node_id == "node-2" + assert stopping_replica.actor_node_id == node_2 # Finish stopping old replica stopping_replica._actor.set_done_stopping() dsm.update() starting_replica = ds._replicas.get([ReplicaState.STARTING])[0] - assert starting_replica.actor_node_id != "node-2" + assert starting_replica.actor_node_id != node_2 # Finish starting new replica starting_replica._actor.set_ready() @@ -4872,8 +4889,10 @@ def test_in_place_update_during_draining(self, mock_deployment_state_manager): """Test that pending migration replicas of old versions are updated.""" create_dsm, timer, cluster_node_info_cache, _ = mock_deployment_state_manager - cluster_node_info_cache.add_node("node-1") - cluster_node_info_cache.add_node("node-2") + node_1 = NodeID.from_random().hex() + node_2 = NodeID.from_random().hex() + cluster_node_info_cache.add_node(node_1) + cluster_node_info_cache.add_node(node_2) dsm: DeploymentStateManager = create_dsm() timer.reset(0) @@ -4887,16 +4906,16 @@ def test_in_place_update_during_draining(self, mock_deployment_state_manager): check_counts(ds, total=10, by_state=[(ReplicaState.STARTING, 10, v1)]) replicas = ds._replicas.get() - replicas[0]._actor.set_node_id("node-2") + replicas[0]._actor.set_node_id(node_2) replicas[0]._actor.set_ready() for r in replicas[1:]: - r._actor.set_node_id("node-1") + r._actor.set_node_id(node_1) r._actor.set_ready() dsm.update() check_counts(ds, total=10, by_state=[(ReplicaState.RUNNING, 10, v1)]) # Drain node-2 with deadline 60. - cluster_node_info_cache.draining_nodes = {"node-2": 60 * 1000} + cluster_node_info_cache.draining_nodes = {node_2: 60 * 1000} dsm.update() check_counts( ds, diff --git a/python/ray/tests/unit/test_node_affinity_validation.py b/python/ray/tests/unit/test_node_affinity_validation.py index d5cbc892f96d..bdd7c9e9f2eb 100644 --- a/python/ray/tests/unit/test_node_affinity_validation.py +++ b/python/ray/tests/unit/test_node_affinity_validation.py @@ -1,30 +1,48 @@ +import re import sys import pytest +from ray._raylet import NodeID from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +def assert_invalid_node_id(node_id_value): + node_id_str = ( + node_id_value if isinstance(node_id_value, str) else node_id_value.hex() + ) + expected_msg = re.escape( + f"Invalid node_id '{node_id_str}'. Node ID must be a valid " + "hex string. To get a list of all nodes and their IDs in your cluster, " + "use ray.nodes(). See https://docs.ray.io/en/latest/ray-core/miscellaneous.html" + "#node-information for more details." + ) + with pytest.raises(ValueError, match=expected_msg): + NodeAffinitySchedulingStrategy(node_id=node_id_value, soft=False) + + def test_node_affinity_scheduling_strategy_invalid_attributes(): + valid_hex = NodeID.from_random().hex() with pytest.raises( ValueError, - match="Invalid NodeAffinitySchedulingStrategy attribute. " - "_spill_on_unavailable cannot be set when soft is False. " + match="_spill_on_unavailable cannot be set when soft is False. " "Please set soft to True to use _spill_on_unavailable.", ): NodeAffinitySchedulingStrategy( - node_id="123", soft=False, _spill_on_unavailable=True + node_id=valid_hex, soft=False, _spill_on_unavailable=True ) with pytest.raises( ValueError, - match="Invalid NodeAffinitySchedulingStrategy attribute. " - "_fail_on_unavailable cannot be set when soft is True. " + match="_fail_on_unavailable cannot be set when soft is True. " "Please set soft to False to use _fail_on_unavailable.", ): NodeAffinitySchedulingStrategy( - node_id="123", soft=True, _fail_on_unavailable=True + node_id=valid_hex, soft=True, _fail_on_unavailable=True ) + assert_invalid_node_id("invalid_node_id") + assert_invalid_node_id(NodeID.nil()) + if __name__ == "__main__": sys.exit(pytest.main(["-vv", __file__])) diff --git a/python/ray/util/scheduling_strategies.py b/python/ray/util/scheduling_strategies.py index 6f86622a8be3..68cb6a9d4700 100644 --- a/python/ray/util/scheduling_strategies.py +++ b/python/ray/util/scheduling_strategies.py @@ -1,5 +1,6 @@ from typing import TYPE_CHECKING, Dict, Optional, Union +from ray._raylet import NodeID from ray.util.annotations import PublicAPI if TYPE_CHECKING: @@ -75,15 +76,26 @@ def __init__( self._validate_attributes() def _validate_attributes(self): + invalid_node_id_error = ValueError( + f"Invalid node_id '{self.node_id}'. Node ID must be a valid " + "hex string. To get a list of all nodes and their IDs in your cluster, " + "use ray.nodes(). See https://docs.ray.io/en/latest/ray-core/miscellaneous.html#node-information for more details." + ) + try: + node_id = NodeID.from_hex(self.node_id) + except Exception as e: + raise invalid_node_id_error from e + + if node_id.is_nil(): + raise invalid_node_id_error + if self._spill_on_unavailable and not self.soft: raise ValueError( - "Invalid NodeAffinitySchedulingStrategy attribute. " "_spill_on_unavailable cannot be set when soft is " "False. Please set soft to True to use _spill_on_unavailable." ) if self._fail_on_unavailable and self.soft: raise ValueError( - "Invalid NodeAffinitySchedulingStrategy attribute. " "_fail_on_unavailable cannot be set when soft is " "True. Please set soft to False to use _fail_on_unavailable." ) From ed27235c18ae80737c9a6fe452486e68e716c44a Mon Sep 17 00:00:00 2001 From: Matti Picus Date: Tue, 23 Sep 2025 19:32:33 +0300 Subject: [PATCH 1345/1566] add gen_redis_pkg bazel target (#56527) ## Why are these changes needed? Separate building ray and building redis-cli, redis-server. The latter two are only needed for tests, in `src/ray/gcs/gcs_client/tests/BUILD.bazel` and `src/ray/gcs/store_client/tests/BUILD.bazel`. Replaces #55731. Follow on for #55975, #56036 which provide binary versions of redis components rather than building from source. Once complete, conda-forge can use this to avoid building redis. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: mattip Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- BUILD.bazel | 21 ++++++++++++++++++++- gen_redis_pkg.py | 11 +++++++++++ python/setup.py | 8 +++++--- 3 files changed, 36 insertions(+), 4 deletions(-) create mode 100644 gen_redis_pkg.py diff --git a/BUILD.bazel b/BUILD.bazel index f7c86a29f379..7a2e89b50ab8 100644 --- a/BUILD.bazel +++ b/BUILD.bazel @@ -394,7 +394,6 @@ pkg_zip( ":gcs_server_files", ":raylet_files", ":raylet_so_files", - ":redis_files", ] + select({ ":jemalloc": [":jemalloc_files"], "//conditions:default": [], @@ -483,6 +482,26 @@ genrule( local = 1, ) +pkg_zip( + name = "ray_redis_zip", + srcs = [ + ":redis_files", + ], + out = "ray_redis.zip", +) + +py_binary( + name = "gen_redis_pkg", + srcs = ["gen_redis_pkg.py"], + data = [ + ":ray_redis_zip", + ], + visibility = ["//visibility:private"], + deps = [ + "//bazel:gen_extract", + ], +) + py_binary( name = "gen_py_proto", srcs = ["gen_py_proto.py"], diff --git a/gen_redis_pkg.py b/gen_redis_pkg.py new file mode 100644 index 000000000000..33aa0b5f52ca --- /dev/null +++ b/gen_redis_pkg.py @@ -0,0 +1,11 @@ +from bazel.gen_extract import gen_extract + +if __name__ == "__main__": + gen_extract( + [ + "ray_redis.zip", + ], + clear_dir_first=[ + "ray/core/src/ray/thirdparty/redis/src", + ], + ) diff --git a/python/setup.py b/python/setup.py index a96d66419e30..2c7a8201d5db 100644 --- a/python/setup.py +++ b/python/setup.py @@ -30,6 +30,7 @@ ROOT_DIR = os.path.dirname(__file__) BUILD_JAVA = os.getenv("RAY_INSTALL_JAVA") == "1" BUILD_CPP = os.getenv("RAY_DISABLE_EXTRA_CPP") != "1" +BUILD_REDIS = os.getenv("RAY_BUILD_REDIS", "1") == "1" SKIP_BAZEL_BUILD = os.getenv("SKIP_BAZEL_BUILD") == "1" BAZEL_ARGS = os.getenv("BAZEL_ARGS") BAZEL_LIMIT_CPUS = os.getenv("BAZEL_LIMIT_CPUS") @@ -532,7 +533,7 @@ def replace_symlinks_with_junctions(): replace_symlinks_with_junctions() -def build(build_python, build_java, build_cpp): +def build(build_python, build_java, build_cpp, build_redis): if tuple(sys.version_info[:2]) not in SUPPORTED_PYTHONS: msg = ( "Detected Python version {}, which is not supported. " @@ -647,6 +648,7 @@ def build(build_python, build_java, build_cpp): bazel_targets += ["//:gen_ray_pkg"] if build_python else [] bazel_targets += ["//cpp:gen_ray_cpp_pkg"] if build_cpp else [] bazel_targets += ["//java:gen_ray_java_pkg"] if build_java else [] + bazel_targets += ["//:gen_redis_pkg"] if build_redis else [] if setup_spec.build_type == BuildType.DEBUG: bazel_flags.append("--config=debug") @@ -709,9 +711,9 @@ def copy_file(target_dir, filename, rootdir): def pip_run(build_ext): if SKIP_BAZEL_BUILD or setup_spec.build_type == BuildType.DEPS_ONLY: - build(False, False, False) + build(False, False, False, False) else: - build(True, BUILD_JAVA, BUILD_CPP) + build(True, BUILD_JAVA, BUILD_CPP, BUILD_REDIS) if setup_spec.type == SetupType.RAY: if setup_spec.build_type == BuildType.DEPS_ONLY: From 2831e18b347d337e0742adee3bf1a42fd04e55fa Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 23 Sep 2025 10:54:45 -0700 Subject: [PATCH 1346/1566] [core] [noop] Adding deprecation notice to old DrainNode API (#56629) The PR is a noop. Just adding some handy dandy comments. This had led at least a few people astray so far so I'm adding a comment, a TODO, and I've created an issue #56627 to point out that this is not the DrainAPI most people are interested in. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_node_manager.h | 4 +++- src/ray/protobuf/gcs_service.proto | 6 ++++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/src/ray/gcs/gcs_node_manager.h b/src/ray/gcs/gcs_node_manager.h index b502dcc4c23d..8e3a0bf5be5e 100644 --- a/src/ray/gcs/gcs_node_manager.h +++ b/src/ray/gcs/gcs_node_manager.h @@ -73,7 +73,9 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { rpc::UnregisterNodeReply *reply, rpc::SendReplyCallback send_reply_callback) override; - /// Handle unregister rpc request come from raylet. + /// TODO(#56627): This method is only called by autoscaler v1. It will be deleted + /// once autoscaler v1 is fully deprecated. Autoscaler v2 calls + /// GcsAutoscalerStateManager::HandleDrainNode. void HandleDrainNode(rpc::DrainNodeRequest request, rpc::DrainNodeReply *reply, rpc::SendReplyCallback send_reply_callback) override; diff --git a/src/ray/protobuf/gcs_service.proto b/src/ray/protobuf/gcs_service.proto index 3e25c48da3c3..d1c8bfac6e96 100644 --- a/src/ray/protobuf/gcs_service.proto +++ b/src/ray/protobuf/gcs_service.proto @@ -513,21 +513,25 @@ autoscaler in a separate pod, if the user upgrades the ray version on the head pod autoscaler can crash (if the newer version of ray modified the messages below). */ +// TODO(#56627): This message will be deleted once autoscaler v1 is fully deprecated. message DrainNodeData { // The id of the node to drain. bytes node_id = 1; } +// TODO(#56627): This message will be deleted once autoscaler v1 is fully deprecated. message DrainNodeRequest { // Batched information of nodes to drain. repeated DrainNodeData drain_node_data = 1; } +// TODO(#56627): This message will be deleted once autoscaler v1 is fully deprecated. message DrainNodeStatus { // The node id that is acknowledged for draining by GCS. bytes node_id = 1; } +// TODO(#56627): This message will be deleted once autoscaler v1 is fully deprecated. message DrainNodeReply { // Whether or not the RPC succeeds. GcsStatus status = 1; @@ -751,6 +755,8 @@ service NodeInfoGcsService { // - It is guaranteed that the requested nodes are going to be drained eventually. // - It is guaranteed that GCS has persisted the draining states. // - It is **not** guaranteed that nodes receive the drain requests from GCS. + // TODO(#56627): This rpc is only called by autoscaler v1. It will be deleted + // once autoscaler v1 is fully deprecated. rpc DrainNode(DrainNodeRequest) returns (DrainNodeReply); // Get information of all nodes from GCS Service. rpc GetAllNodeInfo(GetAllNodeInfoRequest) returns (GetAllNodeInfoReply); From 7ed43582d2f4f5d99ef8e5571e74a6ab753e259a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 10:58:43 -0700 Subject: [PATCH 1347/1566] [doc] rename BUILD to BUILD.bazel (#56841) normalize conventions Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../train/examples/pytorch/pytorch-fsdp/ci/{BUILD => BUILD.bazel} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename doc/source/train/examples/pytorch/pytorch-fsdp/ci/{BUILD => BUILD.bazel} (100%) diff --git a/doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD b/doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD.bazel similarity index 100% rename from doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD rename to doc/source/train/examples/pytorch/pytorch-fsdp/ci/BUILD.bazel From 9c1efe83e9a800e18feb4a73a0fe400f61412cb1 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 11:08:56 -0700 Subject: [PATCH 1348/1566] [core] rename BUILD to BUILD.bazel (#56842) unifying naming conventions Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/tests/resource_isolation/{BUILD => BUILD.bazel} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename python/ray/tests/resource_isolation/{BUILD => BUILD.bazel} (100%) diff --git a/python/ray/tests/resource_isolation/BUILD b/python/ray/tests/resource_isolation/BUILD.bazel similarity index 100% rename from python/ray/tests/resource_isolation/BUILD rename to python/ray/tests/resource_isolation/BUILD.bazel From e833c7f44f4c320dbd3aaa120d7930c58eb675a1 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 11:25:39 -0700 Subject: [PATCH 1349/1566] [core] fix windows copts on `task_event_buffer` (#56840) `-W` is not a valid windows copts arg Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- src/ray/core_worker/BUILD.bazel | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index bb10397af280..088f177e1867 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -231,7 +231,10 @@ ray_cc_library( name = "task_event_buffer", srcs = ["task_event_buffer.cc"], hdrs = ["task_event_buffer.h"], - copts = ["-Wno-error=deprecated-declarations"], + copts = select({ + "//conditions:default": ["-Wno-error=deprecated-declarations"], + "@platforms//os:windows": [], + }), visibility = [":__subpackages__"], deps = [ "//src/ray/common:asio", From 493dfd7234fea6406920a7d548a8fc95e97f8705 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Wed, 24 Sep 2025 00:17:17 +0530 Subject: [PATCH 1350/1566] [core][actor-event-03] Emit actor events to Event aggregator (#56617) this is part 3 of a series of pr's to add support for Actor lifecycle and definition events in the new oneevents framework. This pr builds on top of https://github.com/ray-project/ray/pull/56321 (adds wiring to emit the actual actor events and an E2E test) part 1: defining the schema for ActorDefinitionEvent and ActorExecutionEvent https://github.com/ray-project/ray/pull/56221 part 2: https://github.com/ray-project/ray/pull/56321 Signed-off-by: Cuong Nguyen Signed-off-by: sampan Signed-off-by: Sampan S Nayak Co-authored-by: Cuong Nguyen Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../aggregator/tests/test_ray_actor_events.py | 135 ++++++++++++++++++ src/mock/ray/gcs/gcs_actor_manager.h | 6 +- src/ray/gcs/BUILD.bazel | 4 + src/ray/gcs/gcs_actor.cc | 22 ++- src/ray/gcs/gcs_actor.h | 50 ++++++- src/ray/gcs/gcs_actor_manager.cc | 43 ++++-- src/ray/gcs/gcs_actor_manager.h | 8 +- src/ray/gcs/gcs_server.cc | 4 +- .../gcs_actor_manager_export_event_test.cc | 6 +- src/ray/gcs/tests/gcs_actor_manager_test.cc | 6 +- .../tests/gcs_actor_scheduler_mock_test.cc | 6 +- src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 47 +++--- 12 files changed, 285 insertions(+), 52 deletions(-) create mode 100644 python/ray/dashboard/modules/aggregator/tests/test_ray_actor_events.py diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_actor_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_actor_events.py new file mode 100644 index 000000000000..6cbeb4675a22 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_actor_events.py @@ -0,0 +1,135 @@ +import base64 +import json +import sys + +import pytest + +import ray +import ray.dashboard.consts as dashboard_consts +from ray._private import ray_constants +from ray._private.test_utils import wait_for_condition +from ray._raylet import GcsClient +from ray.dashboard.tests.conftest import * # noqa + +_ACTOR_EVENT_PORT = 12346 + + +@pytest.fixture(scope="session") +def httpserver_listen_address(): + return ("127.0.0.1", _ACTOR_EVENT_PORT) + + +def wait_for_dashboard_agent_available(cluster): + gcs_client = GcsClient(address=cluster.address) + + def get_dashboard_agent_address(): + return gcs_client.internal_kv_get( + f"{dashboard_consts.DASHBOARD_AGENT_ADDR_NODE_ID_PREFIX}{cluster.head_node.node_id}".encode(), + namespace=ray_constants.KV_NAMESPACE_DASHBOARD, + timeout=dashboard_consts.GCS_RPC_TIMEOUT_SECONDS, + ) + + wait_for_condition(lambda: get_dashboard_agent_address() is not None) + + +def test_ray_actor_events(ray_start_cluster, httpserver): + cluster = ray_start_cluster + cluster.add_node( + env_vars={ + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": f"http://127.0.0.1:{_ACTOR_EVENT_PORT}", + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "ACTOR_DEFINITION_EVENT,ACTOR_LIFECYCLE_EVENT", + }, + _system_config={ + "enable_ray_event": True, + }, + ) + cluster.wait_for_nodes() + all_nodes_ids = [node.node_id for node in cluster.list_all_nodes()] + + class A: + def ping(self): + return "pong" + + ray.init(address=cluster.address) + wait_for_dashboard_agent_available(cluster) + + # Create an actor to trigger definition + lifecycle events + a = ray.remote(A).options(name="actor-test").remote() + ray.get(a.ping.remote()) + + # Check that an actor definition and a lifecycle event are published. + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + wait_for_condition(lambda: len(httpserver.log) >= 1) + req, _ = httpserver.log[0] + req_json = json.loads(req.data) + # We expect batched events containing definition then lifecycle + assert len(req_json) >= 2 + # Verify event types and IDs exist + assert ( + base64.b64decode(req_json[0]["actorDefinitionEvent"]["actorId"]).hex() + == a._actor_id.hex() + ) + # Verify ActorId and state for ActorLifecycleEvents + has_alive_state = False + for actorLifeCycleEvent in req_json[1:]: + assert ( + base64.b64decode( + actorLifeCycleEvent["actorLifecycleEvent"]["actorId"] + ).hex() + == a._actor_id.hex() + ) + for stateTransition in actorLifeCycleEvent["actorLifecycleEvent"][ + "stateTransitions" + ]: + assert stateTransition["state"] in [ + "DEPENDENCIES_UNREADY", + "PENDING_CREATION", + "ALIVE", + "RESTARTING", + "DEAD", + ] + if stateTransition["state"] == "ALIVE": + has_alive_state = True + assert ( + base64.b64decode(stateTransition["nodeId"]).hex() in all_nodes_ids + ) + assert base64.b64decode(stateTransition["workerId"]).hex() != "" + assert has_alive_state + + # Kill the actor and verify we get a DEAD state with death cause + ray.kill(a) + + # Wait for the death event to be published + httpserver.expect_request("/", method="POST").respond_with_data("", status=200) + wait_for_condition(lambda: len(httpserver.log) >= 2) + + has_dead_state = False + for death_req, _ in httpserver.log: + death_req_json = json.loads(death_req.data) + + for actorLifeCycleEvent in death_req_json: + if "actorLifecycleEvent" in actorLifeCycleEvent: + assert ( + base64.b64decode( + actorLifeCycleEvent["actorLifecycleEvent"]["actorId"] + ).hex() + == a._actor_id.hex() + ) + + for stateTransition in actorLifeCycleEvent["actorLifecycleEvent"][ + "stateTransitions" + ]: + if stateTransition["state"] == "DEAD": + has_dead_state = True + assert ( + stateTransition["deathCause"]["actorDiedErrorContext"][ + "reason" + ] + == "RAY_KILL" + ) + + assert has_dead_state + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/src/mock/ray/gcs/gcs_actor_manager.h b/src/mock/ray/gcs/gcs_actor_manager.h index fd5a5f4a8769..fd96c4cbde59 100644 --- a/src/mock/ray/gcs/gcs_actor_manager.h +++ b/src/mock/ray/gcs/gcs_actor_manager.h @@ -17,6 +17,7 @@ #include #include "ray/gcs/gcs_actor_manager.h" +#include "ray/observability/fake_ray_event_recorder.h" namespace ray { namespace gcs { @@ -35,7 +36,9 @@ class MockGcsActorManager : public GcsActorManager { runtime_env_manager, function_manager, [](const ActorID &) {}, - worker_client_pool) {} + worker_client_pool, + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/"") {} MOCK_METHOD(void, HandleRegisterActor, @@ -81,6 +84,7 @@ class MockGcsActorManager : public GcsActorManager { (override)); instrumented_io_context mock_io_context_do_not_use_; + observability::FakeRayEventRecorder fake_ray_event_recorder_; }; } // namespace gcs diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index bd40c7b9d63e..d8758786cecf 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -369,6 +369,9 @@ ray_cc_library( "//src/ray/common:lease", "//src/ray/common:task_common", "//src/ray/common/scheduling:cluster_resource_data", + "//src/ray/observability:ray_actor_definition_event", + "//src/ray/observability:ray_actor_lifecycle_event", + "//src/ray/observability:ray_event_recorder_interface", "//src/ray/protobuf:core_worker_cc_proto", "//src/ray/protobuf:export_event_cc_proto", "//src/ray/protobuf:gcs_service_cc_proto", @@ -428,6 +431,7 @@ ray_cc_library( "//src/ray/common:task_common", "//src/ray/core_worker_rpc_client:core_worker_client_interface", "//src/ray/core_worker_rpc_client:core_worker_client_pool", + "//src/ray/observability:ray_event_recorder_interface", "//src/ray/protobuf:gcs_service_cc_proto", "//src/ray/pubsub:gcs_publisher", "//src/ray/stats:stats_lib", diff --git a/src/ray/gcs/gcs_actor.cc b/src/ray/gcs/gcs_actor.cc index 152294b05a94..869c480f3aea 100644 --- a/src/ray/gcs/gcs_actor.cc +++ b/src/ray/gcs/gcs_actor.cc @@ -17,7 +17,11 @@ #include #include +#include "ray/observability/ray_actor_definition_event.h" +#include "ray/observability/ray_actor_lifecycle_event.h" #include "ray/util/logging.h" +#include "src/ray/protobuf/public/events_actor_lifecycle_event.pb.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" namespace ray { namespace gcs { @@ -89,7 +93,23 @@ const rpc::ActorTableData &GcsActor::GetActorTableData() const { rpc::ActorTableData *GcsActor::GetMutableActorTableData() { return &actor_table_data_; } -void GcsActor::WriteActorExportEvent() const { +void GcsActor::WriteActorExportEvent(bool is_actor_registration) const { + // If ray event is enabled and recorder present, emit actor events to the aggregator. + if (RayConfig::instance().enable_ray_event()) { + std::vector> events; + if (is_actor_registration) { + events.push_back(std::make_unique( + actor_table_data_, session_name_)); + } + events.push_back(std::make_unique( + actor_table_data_, + ConvertActorStateToLifecycleEvent(actor_table_data_.state()), + session_name_)); + + ray_event_recorder_.AddEvents(std::move(events)); + return; + } + /// Verify actor export events should be written to file /// and then write actor_table_data_ as an export event. if (!export_event_write_enabled_) { diff --git a/src/ray/gcs/gcs_actor.h b/src/ray/gcs/gcs_actor.h index 4ea57bdfebfb..ed2e5964caca 100644 --- a/src/ray/gcs/gcs_actor.h +++ b/src/ray/gcs/gcs_actor.h @@ -20,6 +20,7 @@ #include "ray/common/lease/lease_spec.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/common/task/task_spec.h" +#include "ray/observability/ray_event_recorder_interface.h" #include "ray/util/counter_map.h" #include "ray/util/event.h" #include "src/ray/protobuf/core_worker.pb.h" @@ -41,10 +42,14 @@ class GcsActor { explicit GcsActor( rpc::ActorTableData actor_table_data, std::shared_ptr>> - counter) + counter, + observability::RayEventRecorderInterface &recorder, + const std::string &session_name) : actor_table_data_(std::move(actor_table_data)), counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { + export_event_write_enabled_(IsExportAPIEnabledActor()), + ray_event_recorder_(recorder), + session_name_(session_name) { RefreshMetrics(); } @@ -58,11 +63,15 @@ class GcsActor { rpc::ActorTableData actor_table_data, rpc::TaskSpec task_spec, std::shared_ptr>> - counter) + counter, + observability::RayEventRecorderInterface &recorder, + const std::string &session_name) : actor_table_data_(std::move(actor_table_data)), task_spec_(std::make_unique(std::move(task_spec))), counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { + export_event_write_enabled_(IsExportAPIEnabledActor()), + ray_event_recorder_(recorder), + session_name_(session_name) { lease_spec_ = std::make_unique(*task_spec_); RAY_CHECK(actor_table_data_.state() != rpc::ActorTableData::DEAD); RefreshMetrics(); @@ -77,10 +86,14 @@ class GcsActor { rpc::TaskSpec task_spec, std::string ray_namespace, std::shared_ptr>> - counter) + counter, + observability::RayEventRecorderInterface &recorder, + const std::string &session_name) : task_spec_(std::make_unique(std::move(task_spec))), counter_(std::move(counter)), - export_event_write_enabled_(IsExportAPIEnabledActor()) { + export_event_write_enabled_(IsExportAPIEnabledActor()), + ray_event_recorder_(recorder), + session_name_(session_name) { RAY_CHECK(task_spec_->type() == TaskType::ACTOR_CREATION_TASK); const auto &actor_creation_task_spec = task_spec_->actor_creation_task_spec(); actor_table_data_.set_actor_id(actor_creation_task_spec.actor_id()); @@ -200,7 +213,7 @@ class GcsActor { rpc::LeaseSpec *GetMutableLeaseSpec(); /// Write an event containing this actor's ActorTableData /// to file for the Export API. - void WriteActorExportEvent() const; + void WriteActorExportEvent(bool is_actor_registration) const; // Verify if export events should be written for EXPORT_ACTOR source types bool IsExportAPIEnabledActor() const { return IsExportAPIEnabledSourceType( @@ -255,6 +268,26 @@ class GcsActor { } } + rpc::events::ActorLifecycleEvent::State ConvertActorStateToLifecycleEvent( + rpc::ActorTableData::ActorState actor_state) const { + switch (actor_state) { + case rpc::ActorTableData::DEPENDENCIES_UNREADY: + return rpc::events::ActorLifecycleEvent::DEPENDENCIES_UNREADY; + case rpc::ActorTableData::PENDING_CREATION: + return rpc::events::ActorLifecycleEvent::PENDING_CREATION; + case rpc::ActorTableData::ALIVE: + return rpc::events::ActorLifecycleEvent::ALIVE; + case rpc::ActorTableData::RESTARTING: + return rpc::events::ActorLifecycleEvent::RESTARTING; + case rpc::ActorTableData::DEAD: + return rpc::events::ActorLifecycleEvent::DEAD; + default: + RAY_LOG(FATAL) << "Invalid value for rpc::ActorTableData::ActorState" + << rpc::ActorTableData::ActorState_Name(actor_state); + return rpc::events::ActorLifecycleEvent::DEAD; + } + } + /// The actor meta data which contains the task specification as well as the state of /// the gcs actor and so on (see gcs.proto). rpc::ActorTableData actor_table_data_; @@ -271,6 +304,9 @@ class GcsActor { /// If true, actor events are exported for Export API bool export_event_write_enabled_ = false; std::unique_ptr lease_spec_; + /// Event recorder and session name for Ray events + observability::RayEventRecorderInterface &ray_event_recorder_; + std::string session_name_; }; using RestartActorForLineageReconstructionCallback = diff --git a/src/ray/gcs/gcs_actor_manager.cc b/src/ray/gcs/gcs_actor_manager.cc index a54bec0f9951..79ca96d69205 100644 --- a/src/ray/gcs/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_actor_manager.cc @@ -227,12 +227,16 @@ GcsActorManager::GcsActorManager( RuntimeEnvManager &runtime_env_manager, GCSFunctionManager &function_manager, std::function destroy_owned_placement_group_if_needed, - rpc::CoreWorkerClientPool &worker_client_pool) + rpc::CoreWorkerClientPool &worker_client_pool, + observability::RayEventRecorderInterface &ray_event_recorder, + const std::string &session_name) : gcs_actor_scheduler_(std::move(scheduler)), gcs_table_storage_(gcs_table_storage), io_context_(io_context), gcs_publisher_(gcs_publisher), worker_client_pool_(worker_client_pool), + ray_event_recorder_(ray_event_recorder), + session_name_(session_name), destroy_owned_placement_group_if_needed_( std::move(destroy_owned_placement_group_if_needed)), runtime_env_manager_(runtime_env_manager), @@ -670,8 +674,11 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ std::string ray_namespace = actor_creation_task_spec.ray_namespace(); RAY_CHECK(!ray_namespace.empty()) << "`ray_namespace` should be set when creating actor in core worker."; - auto actor = std::make_shared( - request.task_spec(), ray_namespace, actor_state_counter_); + auto actor = std::make_shared(request.task_spec(), + ray_namespace, + actor_state_counter_, + ray_event_recorder_, + session_name_); if (!actor->GetName().empty()) { auto &actors_in_namespace = named_actors_[actor->GetRayNamespace()]; auto it = actors_in_namespace.find(actor->GetName()); @@ -731,7 +738,7 @@ Status GcsActorManager::RegisterActor(const ray::rpc::RegisterActorRequest &requ // The backend storage is supposed to be reliable, so the status must be // ok. RAY_CHECK_OK(put_status); - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(true); auto registered_actor_it = registered_actors_.find(actor->GetActorID()); auto callback_iter = actor_to_register_callbacks_.find(actor->GetActorID()); @@ -825,8 +832,11 @@ Status GcsActorManager::CreateActor(const ray::rpc::CreateActorRequest &request, const auto &actor_namespace = iter->second->GetRayNamespace(); RAY_CHECK(!actor_namespace.empty()) << "`ray_namespace` should be set when creating actor in core worker."; - auto actor = std::make_shared( - request.task_spec(), actor_namespace, actor_state_counter_); + auto actor = std::make_shared(request.task_spec(), + actor_namespace, + actor_state_counter_, + ray_event_recorder_, + session_name_); actor->UpdateState(rpc::ActorTableData::PENDING_CREATION); const auto &actor_table_data = actor->GetActorTableData(); actor->GetMutableTaskSpec()->set_dependency_resolution_timestamp_ms( @@ -834,7 +844,7 @@ Status GcsActorManager::CreateActor(const ray::rpc::CreateActorRequest &request, // Pub this state for dashboard showing. gcs_publisher_->PublishActor(actor_id, actor_table_data); - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(false); RemoveUnresolvedActor(actor); // Update the registered actor as its creation task specification may have changed due @@ -1059,7 +1069,7 @@ void GcsActorManager::DestroyActor(const ActorID &actor_id, gcs_table_storage_->ActorTaskSpecTable().Delete(actor_id, {[](auto) {}, io_context_}); } - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(false); // Destroy placement group owned by this actor. destroy_owned_placement_group_if_needed_(actor_id); }, @@ -1434,7 +1444,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, } gcs_publisher_->PublishActor( actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(false); }, io_context_}); gcs_actor_scheduler_->Schedule(actor); @@ -1464,7 +1474,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, actor_id, GenActorDataOnlyWithStates(*mutable_actor_table_data)); gcs_table_storage_->ActorTaskSpecTable().Delete(actor_id, {[](auto) {}, io_context_}); - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(false); }, io_context_}); // The actor is dead, but we should not remove the entry from the @@ -1578,7 +1588,7 @@ void GcsActorManager::OnActorCreationSuccess(const std::shared_ptr &ac actor, reply](Status status) mutable { gcs_publisher_->PublishActor(actor_id, std::move(actor_data_only_with_states)); - actor->WriteActorExportEvent(); + actor->WriteActorExportEvent(false); // Invoke all callbacks for all registration requests of this actor (duplicated // requests are included) and remove all of them from // actor_to_create_callbacks_. @@ -1610,9 +1620,11 @@ void GcsActorManager::Initialize(const GcsInitData &gcs_init_data) { // - Detached actors which lives even when their original owner is dead. if (OnInitializeActorShouldLoad(gcs_init_data, actor_id)) { const auto &actor_task_spec = map_find_or_die(actor_task_specs, actor_id); - auto actor = std::make_shared( - actor_table_data, actor_task_spec, actor_state_counter_); - + auto actor = std::make_shared(actor_table_data, + actor_task_spec, + actor_state_counter_, + ray_event_recorder_, + session_name_); registered_actors_.emplace(actor_id, actor); function_manager_.AddJobReference(actor->GetActorID().JobId()); if (!actor->GetName().empty()) { @@ -1643,7 +1655,8 @@ void GcsActorManager::Initialize(const GcsInitData &gcs_init_data) { } } else { dead_actors.push_back(actor_id); - auto actor = std::make_shared(actor_table_data, actor_state_counter_); + auto actor = std::make_shared( + actor_table_data, actor_state_counter_, ray_event_recorder_, session_name_); destroyed_actors_.emplace(actor_id, actor); sorted_destroyed_actor_list_.emplace_back( actor_id, static_cast(actor_table_data.timestamp())); diff --git a/src/ray/gcs/gcs_actor_manager.h b/src/ray/gcs/gcs_actor_manager.h index 74651762fe2d..653c6f101cc2 100644 --- a/src/ray/gcs/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_actor_manager.h @@ -36,6 +36,7 @@ #include "ray/gcs/gcs_table_storage.h" #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/usage_stats_client.h" +#include "ray/observability/ray_event_recorder_interface.h" #include "ray/pubsub/gcs_publisher.h" #include "ray/util/counter_map.h" #include "ray/util/thread_checker.h" @@ -104,7 +105,9 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { RuntimeEnvManager &runtime_env_manager, GCSFunctionManager &function_manager, std::function destroy_owned_placement_group_if_needed, - rpc::CoreWorkerClientPool &worker_client_pool); + rpc::CoreWorkerClientPool &worker_client_pool, + observability::RayEventRecorderInterface &ray_event_recorder, + const std::string &session_name); ~GcsActorManager() override = default; @@ -477,6 +480,9 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { pubsub::GcsPublisher *gcs_publisher_; /// This is used to communicate with actors and their owners. rpc::CoreWorkerClientPool &worker_client_pool_; + /// Event recorder for emitting actor events + observability::RayEventRecorderInterface &ray_event_recorder_; + std::string session_name_; /// A callback that is used to destroy placemenet group owned by the actor. /// This method MUST BE IDEMPOTENT because it can be called multiple times during /// actor destroy process. diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index da0bc645a2be..b0677566f899 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -521,7 +521,9 @@ void GcsServer::InitGcsActorManager(const GcsInitData &gcs_init_data) { [this](const ActorID &actor_id) { gcs_placement_group_manager_->CleanPlacementGroupIfNeededWhenActorDead(actor_id); }, - worker_client_pool_); + worker_client_pool_, + *ray_event_recorder_, + config_.session_name); gcs_actor_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( diff --git a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc index 1409e24e51c0..b8ca1804d7bb 100644 --- a/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_actor_manager_export_event_test.cc @@ -33,6 +33,7 @@ #include "ray/gcs/gcs_actor_manager.h" #include "ray/gcs/gcs_function_manager.h" #include "ray/gcs/store_client/in_memory_store_client.h" +#include "ray/observability/fake_ray_event_recorder.h" #include "ray/pubsub/publisher.h" #include "ray/util/event.h" @@ -172,7 +173,9 @@ class GcsActorManagerTest : public ::testing::Test { *runtime_env_mgr_, *function_manager_, [](const ActorID &actor_id) {}, - *worker_client_pool_); + *worker_client_pool_, + /*ray_event_recorder=*/fake_ray_event_recorder_, + /*session_name=*/""); for (int i = 1; i <= 10; i++) { auto job_id = JobID::FromInt(i); @@ -270,6 +273,7 @@ class GcsActorManagerTest : public ::testing::Test { std::unique_ptr kv_; std::shared_ptr periodical_runner_; std::string log_dir_; + observability::FakeRayEventRecorder fake_ray_event_recorder_; }; TEST_F(GcsActorManagerTest, TestBasic) { diff --git a/src/ray/gcs/tests/gcs_actor_manager_test.cc b/src/ray/gcs/tests/gcs_actor_manager_test.cc index 94a2b6d4ad14..fe38880f7c86 100644 --- a/src/ray/gcs/tests/gcs_actor_manager_test.cc +++ b/src/ray/gcs/tests/gcs_actor_manager_test.cc @@ -141,6 +141,7 @@ class GcsActorManagerTest : public ::testing::Test { mock_actor_scheduler_ = scheduler.get(); worker_client_pool_ = std::make_unique( [this](const rpc::Address &address) { return worker_client_; }); + fake_ray_event_recorder_ = std::make_unique(); gcs_actor_manager_ = std::make_unique( std::move(scheduler), gcs_table_storage_.get(), @@ -149,7 +150,9 @@ class GcsActorManagerTest : public ::testing::Test { *runtime_env_mgr_, *function_manager_, [](const ActorID &actor_id) {}, - *worker_client_pool_); + *worker_client_pool_, + *fake_ray_event_recorder_, + "test_session_name"); for (int i = 1; i <= 10; i++) { auto job_id = JobID::FromInt(i); @@ -232,6 +235,7 @@ class GcsActorManagerTest : public ::testing::Test { std::unique_ptr function_manager_; std::unique_ptr kv_; std::shared_ptr periodical_runner_; + std::unique_ptr fake_ray_event_recorder_; }; TEST_F(GcsActorManagerTest, TestBasic) { diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc index a4cd4c8ecd80..93f5ab325276 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_mock_test.cc @@ -128,7 +128,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak1) { rpc::ActorTableData actor_data; actor_data.set_state(rpc::ActorTableData::PENDING_CREATION); actor_data.set_actor_id(actor_id.Binary()); - auto actor = std::make_shared(actor_data, rpc::TaskSpec(), counter); + auto actor = std::make_shared( + actor_data, rpc::TaskSpec(), counter, fake_ray_event_recorder_, ""); rpc::ClientCallback cb; EXPECT_CALL(*raylet_client, RequestWorkerLease(An(), _, _, _, _)) @@ -156,7 +157,8 @@ TEST_F(GcsActorSchedulerMockTest, KillWorkerLeak2) { rpc::ActorTableData actor_data; actor_data.set_state(rpc::ActorTableData::PENDING_CREATION); actor_data.set_actor_id(actor_id.Binary()); - auto actor = std::make_shared(actor_data, rpc::TaskSpec(), counter); + auto actor = std::make_shared( + actor_data, rpc::TaskSpec(), counter, fake_ray_event_recorder_, ""); rpc::ClientCallback request_worker_lease_cb; // Ensure actor is killed EXPECT_CALL(*core_worker_client, KillActor(_, _)); diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index af942597909f..c03684b62819 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -192,7 +192,9 @@ class GcsActorSchedulerTest : public ::testing::Test { required_placement_resources); return std::make_shared(actor_creating_task_spec.GetMessage(), /*ray_namespace=*/"", - counter); + /*counter=*/counter, + /*recorder=*/fake_ray_event_recorder_, + /*session_name=*/""); } std::shared_ptr AddNewNode( @@ -236,8 +238,8 @@ TEST_F(GcsActorSchedulerTest, TestScheduleFailedWithZeroNode) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with zero node. gcs_actor_scheduler_->ScheduleByRaylet(actor); @@ -258,8 +260,8 @@ TEST_F(GcsActorSchedulerTest, TestScheduleActorSuccess) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -296,8 +298,8 @@ TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenLeasing) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -347,8 +349,8 @@ TEST_F(GcsActorSchedulerTest, TestScheduleRetryWhenCreating) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -391,8 +393,8 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenLeasing) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -433,8 +435,8 @@ TEST_F(GcsActorSchedulerTest, TestLeasingCancelledWhenLeasing) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -470,8 +472,8 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenCreating) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -516,8 +518,8 @@ TEST_F(GcsActorSchedulerTest, TestWorkerFailedWhenCreating) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -558,8 +560,8 @@ TEST_F(GcsActorSchedulerTest, TestSpillback) { auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); // Schedule the actor with 1 available node, and the lease request should be send to the // node. @@ -626,8 +628,8 @@ TEST_F(GcsActorSchedulerTest, TestReschedule) { // 1.Actor is already tied to a leased worker. auto job_id = JobID::FromInt(1); auto create_actor_request = GenCreateActorRequest(job_id); - auto actor = - std::make_shared(create_actor_request.task_spec(), "", counter); + auto actor = std::make_shared( + create_actor_request.task_spec(), "", counter, fake_ray_event_recorder_, ""); rpc::Address address; WorkerID worker_id = WorkerID::FromRandom(); address.set_node_id(node_id_1.Binary()); @@ -693,7 +695,8 @@ TEST_F(GcsActorSchedulerTest, TestReleaseUnusedActorWorkers) { // instead, it will invoke the `RetryLeasingWorkerFromNode` to retry later. auto job_id = JobID::FromInt(1); auto request = GenCreateActorRequest(job_id); - auto actor = std::make_shared(request.task_spec(), "", counter); + auto actor = std::make_shared( + request.task_spec(), "", counter, fake_ray_event_recorder_, ""); gcs_actor_scheduler_->ScheduleByRaylet(actor); ASSERT_EQ(2, gcs_actor_scheduler_->num_retry_leasing_count_); ASSERT_EQ(raylet_client_->num_workers_requested, 0); From 9759f522ed72e4c8f522a0ed7e82f04ceb67cfeb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 12:36:03 -0700 Subject: [PATCH 1351/1566] [ci] add `BUILDKITE_CACHE_READONLY` into `_DOCKER_ENV` (#56839) so that the env var can pipe through, and when running builds or tests, caching can be disabled properly Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/container.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ci/ray_ci/container.py b/ci/ray_ci/container.py index 9f469d496ee6..a5a4e7cc05d2 100644 --- a/ci/ray_ci/container.py +++ b/ci/ray_ci/container.py @@ -36,9 +36,10 @@ "BUILDKITE_COMMIT", "BUILDKITE_JOB_ID", "BUILDKITE_LABEL", - "BUILDKITE_BAZEL_CACHE_URL", "BUILDKITE_PIPELINE_ID", "BUILDKITE_PULL_REQUEST", + "BUILDKITE_BAZEL_CACHE_URL", + "BUILDKITE_CACHE_READONLY", ] _RAYCI_BUILD_ID = os.environ.get("RAYCI_BUILD_ID", "") From 9bf134b211ec4a39da4635bf9a7136e0d6bb3683 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 12:36:19 -0700 Subject: [PATCH 1352/1566] [image] build ray-extra images for aarch64 (#56818) images that contain extra stuff and can directly run on anyscale Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/linux_aarch64.rayci.yml | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/.buildkite/linux_aarch64.rayci.yml b/.buildkite/linux_aarch64.rayci.yml index 14c397b3d9db..6ee61ec75b31 100644 --- a/.buildkite/linux_aarch64.rayci.yml +++ b/.buildkite/linux_aarch64.rayci.yml @@ -118,6 +118,33 @@ steps: - forge-aarch64 job_env: forge-aarch64 + - label: ":tapioca: build: ray-extra py{{matrix}} docker (aarch64)" + key: ray_extra_images_aarch64 + tags: + - python_dependencies + - docker + - oss + instance_type: medium-arm64 + commands: + - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} + --platform cu11.7.1-cudnn8 --platform cu11.8.0-cudnn8 + --platform cu12.1.1-cudnn8 --platform cu12.3.2-cudnn9 + --platform cu12.4.1-cudnn --platform cu12.5.1-cudnn + --platform cu12.6.3-cudnn --platform cu12.8.1-cudnn + --platform cpu + --image-type ray-extra --architecture aarch64 --upload + depends_on: + - manylinux-aarch64 + - forge-aarch64 + - raycudabaseextra-aarch64 + - raycpubaseextra-aarch64 + job_env: forge-aarch64 + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + - label: ":tapioca: build: ray py{{matrix}} docker (aarch64)" key: ray_images_aarch64 tags: From 7ef8f1c99a5352ac9c29dee8ad4ba0b3abece795 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Tue, 23 Sep 2025 12:42:07 -0700 Subject: [PATCH 1353/1566] [data] Tensor Type __repr__ should be custom tensor types (#56457) ## Why are these changes needed? When specifying batch_format="pandas" in map_batches, we convert to and from pandas blocks. With tensor extensions, we impersonate the types as numpy arrays, when they should be objects. This can cause confusion + lead to random errors in conversion, since pyarrow will use the dtype to reconstruct the object Old PR: https://github.com/iamjustinhsu/ray/pull/3 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- doc/source/data/loading-data.rst | 8 ++++---- doc/source/data/performance-tips.rst | 2 +- doc/source/data/working-with-images.rst | 6 +++--- doc/source/data/working-with-pytorch.rst | 8 ++++---- doc/source/rllib/rllib-offline.rst | 6 +++--- python/ray/air/tests/test_tensor_extension.py | 6 ++++-- python/ray/air/util/tensor_extensions/arrow.py | 6 ++---- python/ray/air/util/tensor_extensions/pandas.py | 2 +- python/ray/data/context.py | 4 ++-- python/ray/data/dataset.py | 2 +- python/ray/data/read_api.py | 17 ++++++++++------- python/ray/data/tests/test_arrow_block.py | 4 +--- python/ray/data/tests/test_tensor.py | 12 ++++++------ 13 files changed, 42 insertions(+), 41 deletions(-) diff --git a/doc/source/data/loading-data.rst b/doc/source/data/loading-data.rst index 3abe4e31fb8e..72ce1c4f7106 100644 --- a/doc/source/data/loading-data.rst +++ b/doc/source/data/loading-data.rst @@ -67,7 +67,7 @@ To view the full list of supported file formats, see the Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) .. tab-item:: Text @@ -410,7 +410,7 @@ Ray Data interoperates with libraries like pandas, NumPy, and Arrow. MaterializedDataset( num_blocks=1, num_rows=3, - schema={data: numpy.ndarray(shape=(2, 2), dtype=double)} + schema={data: ArrowTensorTypeV2(shape=(2, 2), dtype=double)} ) .. tab-item:: pandas @@ -749,7 +749,7 @@ Ray Data interoperates with HuggingFace, PyTorch, and TensorFlow datasets. num_rows=50000, schema={ id: binary, - image: numpy.ndarray(shape=(32, 32, 3), dtype=uint8), + image: ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8), label: int64 } ) @@ -1034,7 +1034,7 @@ Synthetic datasets can be useful for testing and benchmarking. Column Type ------ ---- - data numpy.ndarray(shape=(64, 64), dtype=int64) + data ArrowTensorTypeV2(shape=(64, 64), dtype=int64) Loading other datasources ========================== diff --git a/doc/source/data/performance-tips.rst b/doc/source/data/performance-tips.rst index 9c0d17a8d364..8ecb8843bbeb 100644 --- a/doc/source/data/performance-tips.rst +++ b/doc/source/data/performance-tips.rst @@ -121,7 +121,7 @@ Here's an example where we manually specify ``override_num_blocks=1``, but the o MaterializedDataset( num_blocks=3, num_rows=5000, - schema={data: numpy.ndarray(shape=(10000,), dtype=int64)} + schema={data: ArrowTensorTypeV2(shape=(10000,), dtype=int64)} ) diff --git a/doc/source/data/working-with-images.rst b/doc/source/data/working-with-images.rst index 3152d1a90c07..da846863e780 100644 --- a/doc/source/data/working-with-images.rst +++ b/doc/source/data/working-with-images.rst @@ -47,7 +47,7 @@ To view the full list of supported file formats, see the Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) .. tab-item:: NumPy @@ -65,7 +65,7 @@ To view the full list of supported file formats, see the Column Type ------ ---- - data numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + data ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) .. tab-item:: TFRecords @@ -128,7 +128,7 @@ To view the full list of supported file formats, see the Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) label int64 .. tab-item:: Parquet diff --git a/doc/source/data/working-with-pytorch.rst b/doc/source/data/working-with-pytorch.rst index f52cc181912e..e02841cb02c8 100644 --- a/doc/source/data/working-with-pytorch.rst +++ b/doc/source/data/working-with-pytorch.rst @@ -121,7 +121,7 @@ Transformations applied with `map` or `map_batches` can return Torch tensors. Column Type ------ ---- - tensor numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + tensor ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) .. tab-item:: map_batches @@ -152,7 +152,7 @@ Transformations applied with `map` or `map_batches` can return Torch tensors. Column Type ------ ---- - tensor numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + tensor ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) For more information on transforming data, see :ref:`Transforming data `. @@ -197,8 +197,8 @@ You can use built-in Torch transforms from ``torchvision``, ``torchtext``, and ` Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) - transformed_image numpy.ndarray(shape=(3, 10, 10), dtype=float) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) + transformed_image ArrowTensorTypeV2(shape=(3, 10, 10), dtype=float) .. tab-item:: torchtext diff --git a/doc/source/rllib/rllib-offline.rst b/doc/source/rllib/rllib-offline.rst index 2320e1cfcc43..d9d578665b2f 100644 --- a/doc/source/rllib/rllib-offline.rst +++ b/doc/source/rllib/rllib-offline.rst @@ -485,13 +485,13 @@ required to convert episode data into a columnar format. To confirm that the rec # eps_id string # agent_id null # module_id null - # obs numpy.ndarray(shape=(4,), dtype=float) + # obs ArrowTensorTypeV2(shape=(4,), dtype=float) # actions int32 # rewards double - # new_obs numpy.ndarray(shape=(4,), dtype=float) + # new_obs ArrowTensorTypeV2(shape=(4,), dtype=float) # terminateds bool # truncateds bool - # action_dist_inputs numpy.ndarray(shape=(2,), dtype=float) + # action_dist_inputs ArrowTensorTypeV2(shape=(2,), dtype=float) # action_logp float # weights_seq_no int64 diff --git a/python/ray/air/tests/test_tensor_extension.py b/python/ray/air/tests/test_tensor_extension.py index 1f0c8ff08756..c74bba225011 100644 --- a/python/ray/air/tests/test_tensor_extension.py +++ b/python/ray/air/tests/test_tensor_extension.py @@ -815,8 +815,10 @@ def test_tensor_array_string_tensors_simple(restore_data_context, tensor_format) # Convert to Arrow table arrow_table = pa.Table.from_pandas(df_pandas) - # Convert back to pandas - df_roundtrip = arrow_table.to_pandas(ignore_metadata=True) + # Convert back to pandas. Beginning v19+ pyarrow will handle + # extension types correctly + ignore_metadata = get_pyarrow_version() < parse_version("19.0.0") + df_roundtrip = arrow_table.to_pandas(ignore_metadata=ignore_metadata) # Verify the roundtrip preserves the data original_strings = df_pandas["strings"].to_numpy() diff --git a/python/ray/air/util/tensor_extensions/arrow.py b/python/ray/air/util/tensor_extensions/arrow.py index d3b841fd96dc..b89658e4ae92 100644 --- a/python/ray/air/util/tensor_extensions/arrow.py +++ b/python/ray/air/util/tensor_extensions/arrow.py @@ -525,9 +525,7 @@ def _extension_scalar_to_ndarray(self, scalar: "pa.ExtensionScalar") -> np.ndarr return _to_ndarray_helper(shape, value_type, offset, data_buffer) def __str__(self) -> str: - return ( - f"numpy.ndarray(shape={self.shape}, dtype={self.storage_type.value_type})" - ) + return f"{self.__class__.__name__}(shape={self.shape}, dtype={self.storage_type.value_type})" def __repr__(self) -> str: return str(self) @@ -1114,7 +1112,7 @@ def __arrow_ext_scalar_class__(self): def __str__(self) -> str: dtype = self.storage_type["data"].type.value_type - return f"numpy.ndarray(ndim={self.ndim}, dtype={dtype})" + return f"ArrowVariableShapedTensorType(ndim={self.ndim}, dtype={dtype})" def __repr__(self) -> str: return str(self) diff --git a/python/ray/air/util/tensor_extensions/pandas.py b/python/ray/air/util/tensor_extensions/pandas.py index c52cf0b71f79..62245cf05884 100644 --- a/python/ray/air/util/tensor_extensions/pandas.py +++ b/python/ray/air/util/tensor_extensions/pandas.py @@ -336,7 +336,7 @@ def name(self) -> str: A string identifying the data type. Will be used for display in, e.g. ``Series.dtype`` """ - return f"numpy.ndarray(shape={self._shape}, dtype={self._dtype})" + return f"TensorDtype(shape={self._shape}, dtype={self._dtype})" @classmethod def construct_from_string(cls, string: str): diff --git a/python/ray/data/context.py b/python/ray/data/context.py index 8705ecd25d45..31b17a0ee561 100644 --- a/python/ray/data/context.py +++ b/python/ray/data/context.py @@ -70,8 +70,8 @@ class ShuffleStrategy(str, enum.Enum): DEFAULT_ENABLE_PANDAS_BLOCK = True -DEFAULT_PANDAS_BLOCK_IGNORE_METADATA = bool( - os.environ.get("RAY_DATA_PANDAS_BLOCK_IGNORE_METADATA", 0) +DEFAULT_PANDAS_BLOCK_IGNORE_METADATA = env_bool( + "RAY_DATA_PANDAS_BLOCK_IGNORE_METADATA", False ) DEFAULT_READ_OP_MIN_NUM_BLOCKS = 200 diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index c907010ac9d9..c9ccc6e6cf4c 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -332,7 +332,7 @@ def parse_filename(row: Dict[str, Any]) -> Dict[str, Any]: Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) path string filename string diff --git a/python/ray/data/read_api.py b/python/ray/data/read_api.py index 5999b147ae1c..52a1850f6202 100644 --- a/python/ray/data/read_api.py +++ b/python/ray/data/read_api.py @@ -311,7 +311,10 @@ def range_tensor( >>> import ray >>> ds = ray.data.range_tensor(1000, shape=(2, 2)) >>> ds - Dataset(num_rows=1000, schema={data: numpy.ndarray(shape=(2, 2), dtype=int64)}) + Dataset( + num_rows=1000, + schema={data: ArrowTensorTypeV2(shape=(2, 2), dtype=int64)} + ) >>> ds.map_batches(lambda row: {"data": row["data"] * 2}).take(2) [{'data': array([[0, 0], [0, 0]])}, {'data': array([[2, 2], @@ -484,7 +487,7 @@ def read_audio( >>> ds.schema() Column Type ------ ---- - amplitude numpy.ndarray(shape=(1, 191760), dtype=float) + amplitude ArrowTensorTypeV2(shape=(1, 191760), dtype=float) sample_rate int64 Args: @@ -586,7 +589,7 @@ def read_videos( >>> ds.schema() Column Type ------ ---- - frame numpy.ndarray(shape=(720, 1280, 3), dtype=uint8) + frame ArrowTensorTypeV2(shape=(720, 1280, 3), dtype=uint8) frame_index int64 Args: @@ -1073,7 +1076,7 @@ def read_images( >>> ds.schema() Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) If you need image file paths, set ``include_paths=True``. @@ -1081,7 +1084,7 @@ def read_images( >>> ds.schema() Column Type ------ ---- - image numpy.ndarray(shape=(32, 32, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8) path string >>> ds.take(1)[0]["path"] 'ray-example-data/batoidea/JPEGImages/1.jpeg' @@ -1107,7 +1110,7 @@ def read_images( >>> ds.schema() Column Type ------ ---- - image numpy.ndarray(shape=(224, 224, 3), dtype=uint8) + image ArrowTensorTypeV2(shape=(224, 224, 3), dtype=uint8) class string Args: @@ -3685,7 +3688,7 @@ def from_tf( num_rows=50000, schema={ id: binary, - image: numpy.ndarray(shape=(32, 32, 3), dtype=uint8), + image: ArrowTensorTypeV2(shape=(32, 32, 3), dtype=uint8), label: int64 } ) diff --git a/python/ray/data/tests/test_arrow_block.py b/python/ray/data/tests/test_arrow_block.py index 5660ca205462..6f1f51f14fb0 100644 --- a/python/ray/data/tests/test_arrow_block.py +++ b/python/ray/data/tests/test_arrow_block.py @@ -396,9 +396,7 @@ def test_register_arrow_types(tmp_path): ds.write_parquet(tmp_file) ds = ray.data.read_parquet(tmp_file) - schema = ( - "Column Type\n------ ----\nitem numpy.ndarray(shape=(8, 8), dtype=int64)" - ) + schema = "Column Type\n------ ----\nitem ArrowTensorTypeV2(shape=(8, 8), dtype=int64)" assert str(ds.schema()) == schema # Also run in driver script to eliminate existing imports. diff --git a/python/ray/data/tests/test_tensor.py b/python/ray/data/tests/test_tensor.py index 282a5ec92b40..11abcd02624e 100644 --- a/python/ray/data/tests/test_tensor.py +++ b/python/ray/data/tests/test_tensor.py @@ -323,7 +323,7 @@ def test_tensors_inferred_from_map( ray_start_regular_shared, restore_data_context, tensor_format ): DataContext.get_current().use_arrow_tensor_v2 = tensor_format == "v2" - + class_name = "ArrowTensorTypeV2" if tensor_format == "v2" else "ArrowTensorType" # Test map. ds = ray.data.range(10, override_num_blocks=10).map( lambda _: {"data": np.ones((4, 4))} @@ -333,7 +333,7 @@ def test_tensors_inferred_from_map( "MaterializedDataset(\n" " num_blocks=10,\n" " num_rows=10,\n" - " schema={data: numpy.ndarray(shape=(4, 4), dtype=double)}\n" + f" schema={{data: {class_name}(shape=(4, 4), dtype=double)}}\n" ")" ) @@ -346,7 +346,7 @@ def test_tensors_inferred_from_map( "MaterializedDataset(\n" " num_blocks=4,\n" " num_rows=24,\n" - " schema={data: numpy.ndarray(shape=(4, 4), dtype=double)}\n" + f" schema={{data: {class_name}(shape=(4, 4), dtype=double)}}\n" ")" ) @@ -359,7 +359,7 @@ def test_tensors_inferred_from_map( "MaterializedDataset(\n" " num_blocks=10,\n" " num_rows=20,\n" - " schema={data: numpy.ndarray(shape=(4, 4), dtype=double)}\n" + f" schema={{data: {class_name}(shape=(4, 4), dtype=double)}}\n" ")" ) @@ -372,7 +372,7 @@ def test_tensors_inferred_from_map( "MaterializedDataset(\n" " num_blocks=4,\n" " num_rows=24,\n" - " schema={a: numpy.ndarray(shape=(4, 4), dtype=float64)}\n" + " schema={a: TensorDtype(shape=(4, 4), dtype=float64)}\n" ")" ) @@ -385,7 +385,7 @@ def test_tensors_inferred_from_map( "MaterializedDataset(\n" " num_blocks=4,\n" " num_rows=16,\n" - " schema={a: numpy.ndarray(shape=(None, None), dtype=float64)}\n" + " schema={a: TensorDtype(shape=(None, None), dtype=float64)}\n" ")" ) From 946710bb3f9a89a38646ad83bfe54969c6c70eb6 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 23 Sep 2025 12:43:24 -0700 Subject: [PATCH 1354/1566] [core][rdt] Handle system errors with a background monitor thread (#56513) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_private/worker.py | 5 + .../ray/experimental/collective/collective.py | 9 +- .../collective/collective_tensor_transport.py | 2 - .../collective/tensor_transport_manager.py | 64 ------- .../gpu_object_manager/gpu_object_manager.py | 174 +++++++++++++++++- .../gpu_objects/test_gpu_objects_gloo.py | 85 +++++++++ .../collective_group/nccl_collective_group.py | 2 +- 7 files changed, 267 insertions(+), 74 deletions(-) diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 41c4f456fbd1..239cef46713b 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -1142,6 +1142,10 @@ def get_accelerator_ids_for_accelerator_resource( assigned_ids = original_ids[:max_accelerators] return list(assigned_ids) + def shutdown_gpu_object_manager(self): + if self._gpu_object_manager: + self._gpu_object_manager.shutdown() + _connect_or_shutdown_lock = threading.RLock() @@ -2086,6 +2090,7 @@ def shutdown(_exiting_interpreter: bool = False): from ray.dag.compiled_dag_node import _shutdown_all_compiled_dags _shutdown_all_compiled_dags() + global_worker.shutdown_gpu_object_manager() if _exiting_interpreter and global_worker.mode == SCRIPT_MODE: # This is a duration to sleep before shutting down everything in order diff --git a/python/ray/experimental/collective/collective.py b/python/ray/experimental/collective/collective.py index f8b896b423b8..3a31128088a1 100644 --- a/python/ray/experimental/collective/collective.py +++ b/python/ray/experimental/collective/collective.py @@ -207,10 +207,15 @@ def destroy_collective_group(group_or_name: Union[CommunicatorHandle, str]): group = manager.remove_remote_communicator(name) if group is not None: destroy_tasks = [ - actor.__ray_call__.remote(_do_destroy_collective_group, name) + actor.__ray_call__.options(concurrency_group="_ray_system").remote( + _do_destroy_collective_group, name + ) for actor in group.actors ] - ray.get(destroy_tasks) + try: + ray.get(destroy_tasks) + except ray.exceptions.ActorDiedError: + pass else: raise ValueError(f"No group with name {name} found.") diff --git a/python/ray/experimental/collective/collective_tensor_transport.py b/python/ray/experimental/collective/collective_tensor_transport.py index 61996d608d68..499cf55cb1d1 100644 --- a/python/ray/experimental/collective/collective_tensor_transport.py +++ b/python/ray/experimental/collective/collective_tensor_transport.py @@ -168,8 +168,6 @@ def send_multiple_tensors( for tensor in tensors: if tensor.device.type != device.type: - # TODO(swang): Right now there is no way to catch this error - # and the receiving Ray task will hang. raise ValueError( f"tensor device {tensor.device} does not match device {device}" ) diff --git a/python/ray/experimental/collective/tensor_transport_manager.py b/python/ray/experimental/collective/tensor_transport_manager.py index c86dc4554f17..47b1e805161e 100644 --- a/python/ray/experimental/collective/tensor_transport_manager.py +++ b/python/ray/experimental/collective/tensor_transport_manager.py @@ -96,70 +96,6 @@ def get_communicator_metadata( CommunicatorMetadata: The communicator metadata. """ - @staticmethod - def send_object( - src_actor: "ray.actor.ActorHandle", - obj_id: str, - tensor_transport_meta: TensorTransportMetadata, - communicator_metadata_ref: CommunicatorMetadata, - ): - """ - Send the GPU object to the destination actor. - - Args: - src_actor: The actor that runs this function. - obj_id: The ID of the GPU object to send. - tensor_transport_meta: The tensor transport metadata for the GPU object. - communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. - """ - from ray.experimental.gpu_object_manager.gpu_object_store import __ray_send__ - - # Send tensors stored in the `src_actor`'s GPU object store to the - # destination rank `dst_rank`. - # NOTE(swang): We put this task on the background thread to avoid tasks - # executing on the main thread blocking the data transfer. - src_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_send__, - obj_id, - tensor_transport_meta, - communicator_metadata_ref, - ) - - @staticmethod - def recv_object( - dst_actor: "ray.actor.ActorHandle", - obj_id: str, - tensor_transport_metadata_ref: TensorTransportMetadata, - communicator_metadata_ref: CommunicatorMetadata, - ): - """ - Receive the GPU object from the source actor. - This function receives tensors from the source rank and stores them in the - `dst_actor`'s GPU object store. - - Args: - dst_actor: The actor that runs this function. - obj_id: The ID of the GPU object to receive. - tensor_transport_metadata_ref: The ObjectRef of tensor transport metadata for the GPU object. - communicator_metadata_ref: The ObjectRef of communicator metadata for the send/recv operation. - """ - from ray.experimental.gpu_object_manager.gpu_object_store import __ray_recv__ - - # Receive tensors from the source rank and store them in the - # `dst_actor`'s GPU object store. - # - # NOTE(swang): We put this task on the background thread to avoid tasks - # executing on the main thread blocking the data transfer. Technically, - # this is only needed for the sender task, but we put the receiver task - # on the same background thread to ensure that all communication - # operations are executed in a global order. - dst_actor.__ray_call__.options(concurrency_group="_ray_system").remote( - __ray_recv__, - obj_id, - tensor_transport_metadata_ref, - communicator_metadata_ref, - ) - @staticmethod @abstractmethod def recv_multiple_tensors( diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 7285a68dbc12..6fdd22e745e3 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -1,5 +1,8 @@ +import logging import threading +import time import warnings +from queue import Queue from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional, Set, Tuple import ray @@ -13,7 +16,9 @@ from ray.experimental.gpu_object_manager.gpu_object_store import ( GPUObjectStore, ) - from ray.util.collective.types import TensorTransportMetadata + from ray.util.collective.types import CommunicatorMetadata, TensorTransportMetadata + +logger = logging.getLogger(__name__) # GPUObjectMeta is a named tuple containing the source actor, tensor transport # backend, tensor metadata, and other information that needs to be recorded. @@ -33,6 +38,18 @@ class GPUObjectMeta(NamedTuple): sent_to_src_actor_and_others_warned: bool +# This is used to periodically check in on the RDT transfer through the refs from +# __ray_send__ and __ray_recv__ and abort operations in case of failures / timeouts. +class TransferMetadata(NamedTuple): + src_actor: "ray.actor.ActorHandle" + dst_actor: "ray.actor.ActorHandle" + send_ref: Optional[ObjectRef] + recv_ref: ObjectRef + communicator_meta: "CommunicatorMetadata" + backend: str + timeout: float + + # TODO(swang): Uncomment and add an API docs page and example usage. # @PublicAPI(stability="alpha") def wait_tensor_freed(tensor: "torch.Tensor", timeout: Optional[float] = None): @@ -73,6 +90,13 @@ def __init__(self): # Lock to ensure we only create the GPU object store once. self.gpu_object_store_lock = threading.Lock() + # Thread safe queue of transport refs that the monitor thread needs to start monitoring + self._unmonitored_transfers: Queue[TransferMetadata] = Queue() + # Background thread to poll on the transfer operation. + self._monitor_failures_thread = None + # Event to signal the monitor_failures thread to shutdown + self._monitor_failures_shutdown_event = threading.Event() + @property def gpu_object_store(self) -> "ray.experimental.GPUObjectStore": with self.gpu_object_store_lock: @@ -84,6 +108,108 @@ def gpu_object_store(self) -> "ray.experimental.GPUObjectStore": self._gpu_object_store = GPUObjectStore() return self._gpu_object_store + def shutdown(self): + """ + Interrupt and join the monitor_failures thread. + """ + if self._monitor_failures_thread: + self._monitor_failures_shutdown_event.set() + self._monitor_failures_thread.join() + self._monitor_failures_shutdown_event.clear() + self._monitor_failures_thread = None + + def _monitor_failures(self): + """ + Monitor the refs from send and recv tasks and abort the transfers + if they error out or timeout to prevent hanging. + """ + not_done = [] + done = [] + ref_info_map = {} + while not self._monitor_failures_shutdown_event.is_set(): + while not self._unmonitored_transfers.empty(): + ref_info = self._unmonitored_transfers.get() + if ref_info.send_ref: + not_done.append(ref_info.send_ref) + ref_info_map[ref_info.send_ref.hex()] = ref_info + not_done.append(ref_info.recv_ref) + ref_info_map[ref_info.recv_ref.hex()] = ref_info + if len(not_done) > 0: + done, not_done = ray.wait(not_done, num_returns=1, timeout=1) + if len(done) > 0: + try: + ray.get(done[0]) + ref_info_map.pop(done[0].hex(), None) + except Exception as e: + self._abort_transport(done[0], ref_info_map, e) + + while len(not_done) > 0: + if not_done[0].hex() not in ref_info_map: + # The associated transfer was already aborted. + not_done.pop(0) + elif ref_info_map[not_done[0].hex()].timeout < time.time(): + self._abort_transport( + not_done[0], + ref_info_map, + TimeoutError( + f"RDT transfer failed after {ray.constants.FETCH_FAIL_TIMEOUT_SECONDS}s." + ), + ) + else: + # wait returns lists in the same order they were passed in, so if + # the timeout of first hasn't been reached, neither have the others. + break + if len(not_done) == 0: + # If we emptied out _unmonitored_transfers on this iteration, wait for a bit. + self._monitor_failures_shutdown_event.wait(1) + + def _abort_transport( + self, + failed_ref: ObjectRef, + ref_info_map: Dict[str, TransferMetadata], + exception: Exception, + ): + """ + Cleans up the ref_info_map, kill the src and dst actors, and destroy the + collective group if necessary. + """ + from ray.experimental.collective import destroy_collective_group + from ray.util.collective.types import CollectiveCommunicatorMetadata + + ref_info = ref_info_map.pop(failed_ref.hex(), None) + if ref_info is None: + return + + logger.error( + "RDT transfer with src actor %s and dst actor %s failed. Killing the actors. " + "Transfer failed with exception: %s", + ref_info.src_actor, + ref_info.dst_actor, + exception, + ) + + if ref_info.send_ref: + ref_info_map.pop(ref_info.send_ref.hex(), None) + ref_info_map.pop(ref_info.recv_ref.hex(), None) + + # TODO(#51276): Kill all actors in the collective group when we support more collective operations + ray.kill(ref_info.src_actor) + ray.kill(ref_info.dst_actor) + + # isinstance does an implicit cast and makes communicator_name inaccessible + # so we have to get communicator_name before the cast. + collective_group_name = ref_info.communicator_meta.communicator_name + if isinstance(ref_info.communicator_meta, CollectiveCommunicatorMetadata): + try: + destroy_collective_group(collective_group_name) + logger.error( + "Destroyed collective group %s due to a hanging/failed RDT transfer", + collective_group_name, + ) + except ValueError: + # Collective group was already destroyed + pass + def is_managed_object(self, obj_id: str) -> bool: """ Check if the GPU object is managed by this process. @@ -261,6 +387,10 @@ def trigger_out_of_band_tensor_transfer( gpu_object_refs.add(arg) if gpu_object_refs: from ray.experimental.collective import get_tensor_transport_manager + from ray.experimental.gpu_object_manager.gpu_object_store import ( + __ray_recv__, + __ray_send__, + ) # Count the number of readers for each GPU object. for obj_ref in gpu_object_refs: @@ -311,20 +441,54 @@ def trigger_out_of_band_tensor_transfer( dst_actor, gpu_object_meta.tensor_transport_backend, ) + + send_ref = None if not tensor_transport_manager.is_one_sided(): - tensor_transport_manager.send_object( - src_actor, + # Send tensors stored in the `src_actor`'s GPU object store to the + # destination rank `dst_rank`. + # NOTE: We put this task on the background thread to avoid tasks + # executing on the main thread blocking the data transfer. + send_ref = src_actor.__ray_call__.options( + concurrency_group="_ray_system" + ).remote( + __ray_send__, obj_id, tensor_transport_meta, communicator_meta, ) - tensor_transport_manager.recv_object( - dst_actor, + + # Receive tensors from the source rank and store them in the + # `dst_actor`'s GPU object store. + # NOTE: Putting this task on the background thread is technically only + # needed for the sender task, but we put the receiver task on the same + # background thread to ensure that all communication operations are + # executed in a global order. + recv_ref = dst_actor.__ray_call__.options( + concurrency_group="_ray_system" + ).remote( + __ray_recv__, obj_id, tensor_transport_meta, communicator_meta, ) + self._unmonitored_transfers.put( + TransferMetadata( + src_actor=src_actor, + dst_actor=dst_actor, + send_ref=send_ref, + recv_ref=recv_ref, + communicator_meta=communicator_meta, + backend=gpu_object_meta.tensor_transport_backend, + timeout=time.time() + ray_constants.FETCH_FAIL_TIMEOUT_SECONDS, + ) + ) + if self._monitor_failures_thread is None: + self._monitor_failures_thread = threading.Thread( + target=self._monitor_failures, daemon=True + ) + self._monitor_failures_thread.start() + def get_gpu_object( self, object_id: str, diff --git a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py index 7b9d6e475aa5..2b5e025705b6 100644 --- a/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py +++ b/python/ray/tests/gpu_objects/test_gpu_objects_gloo.py @@ -1,4 +1,6 @@ +import logging import random +import re import sys import threading import time @@ -58,6 +60,29 @@ def fail(self, error_message): raise Exception(error_message) +@ray.remote +class ErrorActor: + @ray.method(tensor_transport="gloo") + def send(self, tensor): + return tensor + + def recv(self, tensor): + return tensor + + def clear_gpu_object_store(self): + gpu_object_store = ( + ray._private.worker.global_worker.gpu_object_manager.gpu_object_store + ) + + with gpu_object_store._lock: + assert len(gpu_object_store._gpu_object_store) > 0 + gpu_object_store._gpu_object_store.clear() + + @ray.method(concurrency_group="_ray_system") + def block_background_thread(self): + time.sleep(100) + + @pytest.mark.parametrize("data_size_bytes", [100]) def test_gc_gpu_object(ray_start_regular, data_size_bytes): """ @@ -885,5 +910,65 @@ def do_transfer(self, a1, a2): ) +def test_send_fails(ray_start_regular): + actors = [ErrorActor.remote() for _ in range(2)] + create_collective_group(actors, backend="torch_gloo") + + # The gpu object will be gone when we trigger the transfer + # so the send will error out + gpu_obj_ref = actors[0].send.remote(torch.randn((100, 100))) + ray.get(actors[0].clear_gpu_object_store.remote()) + result_ref = actors[1].recv.remote(gpu_obj_ref) + + with pytest.raises(ray.exceptions.ActorDiedError): + ray.get(result_ref) + + +def test_send_actor_dies(ray_start_regular): + actors = [ErrorActor.remote() for _ in range(2)] + create_collective_group(actors, backend="torch_gloo") + + # Try a transfer with the sender's background thread blocked, + # so the send doesn't happen before the actor is killed + gpu_obj_ref = actors[0].send.remote(torch.randn((100, 100))) + actors[0].block_background_thread.remote() + result_ref = actors[1].recv.remote(gpu_obj_ref) + ray.kill(actors[0]) + + with pytest.raises(ray.exceptions.ActorDiedError): + ray.get(result_ref) + + +def test_recv_actor_dies(ray_start_regular, caplog, propagate_logs): + actors = [ErrorActor.remote() for _ in range(2)] + create_collective_group(actors, backend="torch_gloo") + + # Do a transfer with the receiver's background thread blocked, + # so the recv doesn't happen before the actor is killed + gpu_obj_ref = actors[0].send.remote(torch.randn((100, 100))) + actors[1].block_background_thread.remote() + result_ref = actors[1].recv.remote(gpu_obj_ref) + ray.kill(actors[1]) + + with pytest.raises(ray.exceptions.ActorDiedError): + ray.get(result_ref) + with pytest.raises(ray.exceptions.ActorDiedError): + ray.get(actors[0].recv.remote(1)) + + def check_logs(): + records = caplog.records + return any( + record.levelno == logging.ERROR + and re.search(r"RDT transfer with.*failed", record.message) + for record in records + ) and any( + record.levelno == logging.ERROR + and "Destroyed collective group" in record.message + for record in records + ) + + wait_for_condition(check_logs) + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/util/collective/collective_group/nccl_collective_group.py b/python/ray/util/collective/collective_group/nccl_collective_group.py index 236559ecd81c..c6e37de8e742 100644 --- a/python/ray/util/collective/collective_group/nccl_collective_group.py +++ b/python/ray/util/collective/collective_group/nccl_collective_group.py @@ -656,7 +656,7 @@ def _point2point(self, tensors, p2p_fn, peer_rank: int, peer_gpu_idx: int): # We have made sure that self.rank != peer_rank during API check. peer_p2p_rank = 0 if self.rank > peer_rank else 1 for i, tensor in enumerate(tensors): - p2p_fn(tensors[i], comms[i], streams[i], peer_p2p_rank) + p2p_fn(tensor, comms[i], streams[i], peer_p2p_rank) def _flatten_for_scatter_gather(tensor_list, copy=False): From 9f185b48ffaa7ef5855d4176454ee602611b67fc Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Tue, 23 Sep 2025 13:25:52 -0700 Subject: [PATCH 1355/1566] [core] Add concurrency guards to gcs node manager (#56351) Increasingly we're interested in adding more threads to gcs server. This change makes sure that gcs node manager methods are thread safe. --------- Signed-off-by: Zac Policzer Signed-off-by: Douglas Strodtman --- src/ray/common/asio/postable.h | 14 +- src/ray/common/bundle_location_index.cc | 3 +- src/ray/common/bundle_location_index.h | 9 +- src/ray/gcs/gcs_actor_manager.cc | 8 +- src/ray/gcs/gcs_actor_manager.h | 6 +- src/ray/gcs/gcs_actor_scheduler.cc | 38 ++--- src/ray/gcs/gcs_actor_scheduler.h | 13 +- src/ray/gcs/gcs_autoscaler_state_manager.cc | 6 +- src/ray/gcs/gcs_node_manager.cc | 150 +++++++++++----- src/ray/gcs/gcs_node_manager.h | 161 +++++++++++++----- src/ray/gcs/gcs_placement_group_scheduler.cc | 14 +- src/ray/gcs/gcs_placement_group_scheduler.h | 8 +- src/ray/gcs/gcs_server.cc | 30 ++-- src/ray/gcs/gcs_server_io_context_policy.h | 6 +- src/ray/gcs/tests/gcs_actor_scheduler_test.cc | 28 ++- .../gcs_autoscaler_state_manager_test.cc | 2 + src/ray/gcs/tests/gcs_node_manager_test.cc | 139 ++++++++++++--- .../gcs_placement_group_scheduler_test.cc | 3 +- src/ray/util/event.cc | 8 +- src/ray/util/event.h | 8 +- 20 files changed, 443 insertions(+), 211 deletions(-) diff --git a/src/ray/common/asio/postable.h b/src/ray/common/asio/postable.h index 0161c18fd7d4..6bb88853fd69 100644 --- a/src/ray/common/asio/postable.h +++ b/src/ray/common/asio/postable.h @@ -48,9 +48,6 @@ using ToPostable = typename internal::ToPostableHelper::type; /// function can only be Post()ed or Dispatch()ed to that specific io_context. This /// provides thread safety and prevents accidentally running the function on the wrong /// io_context. -/// -/// A Postable can only be Post()ed or Dispatch()ed once. After that, it is moved-from and -/// a next invocation will fail. template class Postable { static_assert(std::is_void_v::result_type>, @@ -74,6 +71,17 @@ class Postable { name); } + template + void Post(const std::string &name, Args &&...args) const & { + RAY_CHECK(func_ != nullptr) << "Postable has already been invoked."; + io_context_.post( + [func = func_, + args_tuple = std::make_tuple(std::forward(args)...)]() mutable { + std::apply(func, std::move(args_tuple)); + }, + name); + } + template void Dispatch(const std::string &name, Args &&...args) && { RAY_CHECK(func_ != nullptr) << "Postable has already been invoked."; diff --git a/src/ray/common/bundle_location_index.cc b/src/ray/common/bundle_location_index.cc index 1f1bcd0b571b..69c385df13d5 100644 --- a/src/ray/common/bundle_location_index.cc +++ b/src/ray/common/bundle_location_index.cc @@ -147,7 +147,8 @@ std::optional BundleLocationIndex::GetBundleLocation( } void BundleLocationIndex::AddNodes( - const absl::flat_hash_map> &nodes) { + const absl::flat_hash_map> + &nodes) { for (const auto &iter : nodes) { if (!node_to_leased_bundles_.contains(iter.first)) { node_to_leased_bundles_[iter.first] = std::make_shared(); diff --git a/src/ray/common/bundle_location_index.h b/src/ray/common/bundle_location_index.h index 59001139ec36..970e89f5d717 100644 --- a/src/ray/common/bundle_location_index.h +++ b/src/ray/common/bundle_location_index.h @@ -44,11 +44,11 @@ class BundleLocationIndex { /// /// \param bundle_id /// \param node_id - /// \param bundle_specialication + /// \param bundle_specification void AddOrUpdateBundleLocation( const BundleID &bundle_id, const NodeID &node_id, - std::shared_ptr bundle_specialication = nullptr); + std::shared_ptr bundle_specification = nullptr); /// Erase bundle locations associated with a given node id. /// @@ -80,9 +80,10 @@ class BundleLocationIndex { /// Update the index to contain new node information. Should be used only when new node /// is added to the cluster. /// - /// \param alive_nodes map of alive nodes. + /// \param map of alive nodes. void AddNodes( - const absl::flat_hash_map> &nodes); + const absl::flat_hash_map> + &nodes); /// get bundle_locations debug string info std::string GetBundleLocationDebugString(const BundleLocations &bundle_locations) const; diff --git a/src/ray/gcs/gcs_actor_manager.cc b/src/ray/gcs/gcs_actor_manager.cc index 79ca96d69205..bec19722da08 100644 --- a/src/ray/gcs/gcs_actor_manager.cc +++ b/src/ray/gcs/gcs_actor_manager.cc @@ -180,11 +180,11 @@ namespace gcs { bool is_uuid(const std::string &str) { static const boost::regex e( "[a-f0-9]{8}-[a-f0-9]{4}-4[a-f0-9]{3}-[89aAbB][a-f0-9]{3}-[a-f0-9]{12}"); - return regex_match(str, e); // note: case sensitive now + return regex_match(str, e); // note: case-sensitive now } const ray::rpc::ActorDeathCause GcsActorManager::GenNodeDiedCause( - const ray::gcs::GcsActor *actor, std::shared_ptr node) { + const ray::gcs::GcsActor *actor, std::shared_ptr node) { ray::rpc::ActorDeathCause death_cause; auto actor_died_error_ctx = death_cause.mutable_actor_died_error_context(); @@ -1213,7 +1213,7 @@ void GcsActorManager::OnWorkerDead(const ray::NodeID &node_id, RestartActor(actor_id, /*need_reschedule=*/need_reconstruct, death_cause); } -void GcsActorManager::OnNodeDead(std::shared_ptr node, +void GcsActorManager::OnNodeDead(std::shared_ptr node, const std::string node_ip_address) { const auto node_id = NodeID::FromBinary(node->node_id()); RAY_LOG(DEBUG).WithField(node_id) << "Node is dead, reconstructing actors."; @@ -1461,7 +1461,7 @@ void GcsActorManager::RestartActor(const ActorID &actor_id, *mutable_actor_table_data, {[this, actor, actor_id, mutable_actor_table_data, death_cause, done_callback]( Status status) { - // If actor was an detached actor, make sure to destroy it. + // If actor was a detached actor, make sure to destroy it. // We need to do this because detached actors are not destroyed // when its owners are dead because it doesn't have owners. if (actor->IsDetached()) { diff --git a/src/ray/gcs/gcs_actor_manager.h b/src/ray/gcs/gcs_actor_manager.h index 653c6f101cc2..29c4c63502a5 100644 --- a/src/ray/gcs/gcs_actor_manager.h +++ b/src/ray/gcs/gcs_actor_manager.h @@ -206,9 +206,9 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { /// node being removed) will not be restarted. If any workers on this node /// owned an actor, those actors will be destroyed. /// - /// \param node_id The specified node id. + /// \param node The specified node id. /// \param node_ip_address The ip address of the dead node. - void OnNodeDead(std::shared_ptr node, + void OnNodeDead(std::shared_ptr node, const std::string node_ip_address); /// Handle a worker failure. This will restart the associated actor, if any, @@ -283,7 +283,7 @@ class GcsActorManager : public rpc::ActorInfoGcsServiceHandler { private: const ray::rpc::ActorDeathCause GenNodeDiedCause( - const ray::gcs::GcsActor *actor, std::shared_ptr node); + const ray::gcs::GcsActor *actor, std::shared_ptr node); /// A data structure representing an actor's owner. struct Owner { explicit Owner(std::shared_ptr client) diff --git a/src/ray/gcs/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_actor_scheduler.cc index 79bfd2930770..5736d7e576c2 100644 --- a/src/ray/gcs/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_actor_scheduler.cc @@ -138,38 +138,22 @@ void GcsActorScheduler::ScheduleByRaylet(std::shared_ptr actor) { NodeID GcsActorScheduler::SelectForwardingNode(std::shared_ptr actor) { // Select a node to lease worker for the actor. - std::shared_ptr node; + std::shared_ptr node; // If an actor has resource requirements, we will try to schedule it on the same node as // the owner if possible. const auto &lease_spec = actor->GetLeaseSpecification(); if (!lease_spec.GetRequiredResources().IsEmpty()) { auto maybe_node = gcs_node_manager_.GetAliveNode(actor->GetOwnerNodeID()); - node = maybe_node.has_value() ? maybe_node.value() : SelectNodeRandomly(); + node = maybe_node.has_value() ? maybe_node.value() + : gcs_node_manager_.SelectRandomAliveNode(); } else { - node = SelectNodeRandomly(); + node = gcs_node_manager_.SelectRandomAliveNode(); } return node ? NodeID::FromBinary(node->node_id()) : NodeID::Nil(); } -std::shared_ptr GcsActorScheduler::SelectNodeRandomly() const { - auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); - if (alive_nodes.empty()) { - return nullptr; - } - - static std::mt19937_64 gen_( - std::chrono::high_resolution_clock::now().time_since_epoch().count()); - std::uniform_int_distribution distribution(0, alive_nodes.size() - 1); - int key_index = distribution(gen_); - int index = 0; - auto iter = alive_nodes.begin(); - for (; index != key_index && iter != alive_nodes.end(); ++index, ++iter) { - } - return iter->second; -} - void GcsActorScheduler::Reschedule(std::shared_ptr actor) { if (!actor->GetWorkerID().IsNil()) { RAY_LOG(INFO) << "Actor " << actor->GetActorID() @@ -238,7 +222,7 @@ void GcsActorScheduler::CancelOnLeasing(const NodeID &node_id, node_to_actors_when_leasing_.erase(node_it); } - const auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + const auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); const auto &iter = alive_nodes.find(node_id); if (iter != alive_nodes.end()) { const auto &node_info = iter->second; @@ -279,7 +263,7 @@ void GcsActorScheduler::ReleaseUnusedActorWorkers( // And Raylet will release other leased workers. // If the node is dead, there is no need to send the request of release unused // workers. - const auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + const auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); for (const auto &alive_node : alive_nodes) { const auto &node_id = alive_node.first; nodes_of_releasing_unused_workers_.insert(node_id); @@ -305,8 +289,8 @@ void GcsActorScheduler::ReleaseUnusedActorWorkers( } } -void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node) { +void GcsActorScheduler::LeaseWorkerFromNode( + std::shared_ptr actor, std::shared_ptr node) { RAY_CHECK(actor && node); auto node_id = NodeID::FromBinary(node->node_id()); @@ -342,7 +326,7 @@ void GcsActorScheduler::LeaseWorkerFromNode(std::shared_ptr actor, } void GcsActorScheduler::RetryLeasingWorkerFromNode( - std::shared_ptr actor, std::shared_ptr node) { + std::shared_ptr actor, std::shared_ptr node) { RAY_UNUSED(execute_after( io_context_, [this, node, actor] { DoRetryLeasingWorkerFromNode(actor, node); }, @@ -351,7 +335,7 @@ void GcsActorScheduler::RetryLeasingWorkerFromNode( } void GcsActorScheduler::DoRetryLeasingWorkerFromNode( - std::shared_ptr actor, std::shared_ptr node) { + std::shared_ptr actor, std::shared_ptr node) { auto iter = node_to_actors_when_leasing_.find(actor->GetNodeID()); if (iter != node_to_actors_when_leasing_.end()) { // If the node is still available, the actor must be still in the @@ -568,7 +552,7 @@ std::string GcsActorScheduler::DebugString() const { void GcsActorScheduler::HandleWorkerLeaseReply( std::shared_ptr actor, - std::shared_ptr node, + std::shared_ptr node, const Status &status, const rpc::RequestWorkerLeaseReply &reply) { // If the actor is still in the leasing map and the status is ok, remove the actor diff --git a/src/ray/gcs/gcs_actor_scheduler.h b/src/ray/gcs/gcs_actor_scheduler.h index 48802d7dad56..dbde5e592599 100644 --- a/src/ray/gcs/gcs_actor_scheduler.h +++ b/src/ray/gcs/gcs_actor_scheduler.h @@ -254,7 +254,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// specification needed to lease workers from the specified node. /// \param node The node that the worker will be leased from. void LeaseWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node); + std::shared_ptr node); /// Handler to process a worker lease reply. /// @@ -263,7 +263,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// \param status Status of the reply of `RequestWorkerLeaseRequest`. /// \param reply The reply of `RequestWorkerLeaseRequest`. virtual void HandleWorkerLeaseReply(std::shared_ptr actor, - std::shared_ptr node, + std::shared_ptr node, const Status &status, const rpc::RequestWorkerLeaseReply &reply); @@ -274,7 +274,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// specification needed to lease workers from the specified node. /// \param node The node that the worker will be leased from. virtual void RetryLeasingWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node); + std::shared_ptr node); /// This method is only invoked inside `RetryLeasingWorkerFromNode`, the purpose of this /// is to make it easy to write unit tests. @@ -283,7 +283,7 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// specification needed to lease workers from the specified node. /// \param node The node that the worker will be leased from. void DoRetryLeasingWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node); + std::shared_ptr node); /// Handler to process a granted lease. /// @@ -399,11 +399,6 @@ class GcsActorScheduler : public GcsActorSchedulerInterface { /// \return The selected node's ID. If the selection fails, NodeID::Nil() is returned. NodeID SelectForwardingNode(std::shared_ptr actor); - /// A helper function to select a node from alive nodes randomly. - /// - /// \return The selected node. If the selection fails, `nullptr` is returned. - std::shared_ptr SelectNodeRandomly() const; - friend class GcsActorSchedulerTest; FRIEND_TEST(GcsActorSchedulerTest, TestScheduleFailedWithZeroNode); FRIEND_TEST(GcsActorSchedulerTest, TestScheduleActorSuccess); diff --git a/src/ray/gcs/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_autoscaler_state_manager.cc index 6d0841745282..71442aafbbc7 100644 --- a/src/ray/gcs/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_autoscaler_state_manager.cc @@ -423,7 +423,7 @@ void GcsAutoscalerStateManager::GetNodeStates( node_state_proto->mutable_labels()->insert(node_labels.begin(), node_labels.end()); }; - const auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + const auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); std::for_each(alive_nodes.begin(), alive_nodes.end(), [&](const auto &gcs_node_info) { populate_node_state(*gcs_node_info.second); }); @@ -433,7 +433,7 @@ void GcsAutoscalerStateManager::GetNodeStates( // reported by dead node should be small. // TODO(rickyx): We will need to GC the head nodes in the future. // https://github.com/ray-project/ray/issues/35874 - const auto &dead_nodes = gcs_node_manager_.GetAllDeadNodes(); + const auto dead_nodes = gcs_node_manager_.GetAllDeadNodes(); std::for_each(dead_nodes.begin(), dead_nodes.end(), [&](const auto &gcs_node_info) { populate_node_state(*gcs_node_info.second); }); @@ -462,7 +462,7 @@ void GcsAutoscalerStateManager::HandleDrainNode( auto maybe_node = gcs_node_manager_.GetAliveNode(node_id); if (!maybe_node.has_value()) { - if (gcs_node_manager_.GetAllDeadNodes().contains(node_id)) { + if (gcs_node_manager_.IsNodeDead(node_id)) { // The node is dead so treat it as drained. reply->set_is_accepted(true); } else { diff --git a/src/ray/gcs/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc index 4b37306c5bfd..0dac4c9379e2 100644 --- a/src/ray/gcs/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -99,6 +99,7 @@ void GcsNodeManager::HandleGetClusterId(rpc::GetClusterIdRequest request, void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, rpc::RegisterNodeReply *reply, rpc::SendReplyCallback send_reply_callback) { + // This function invokes a read lock // TODO(#56391): node creation time should be assigned here instead of in the raylet. const rpc::GcsNodeInfo &node_info = request.node_info(); NodeID node_id = NodeID::FromBinary(node_info.node_id()); @@ -111,8 +112,9 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, auto on_done = [this, node_id, node_info_copy = node_info, reply, send_reply_callback]( const Status &status) mutable { RAY_CHECK_OK(status) << "Failed to register node '" << node_id << "'."; + absl::MutexLock lock_(&mutex_); RAY_LOG(DEBUG).WithField(node_id) << "Finished registering node."; - AddNode(std::make_shared(node_info_copy)); + AddNodeToCache(std::make_shared(node_info_copy)); WriteNodeExportEvent(node_info_copy, /*is_register_event*/ true); gcs_publisher_->PublishNodeInfo(node_id, std::move(node_info_copy)); GCS_RPC_SEND_REPLY(send_reply_callback, reply, status); @@ -121,11 +123,13 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, // mark all old head nodes as dead if exists: // 1. should never happen when HA is not used // 2. happens when a new head node is started - std::vector head_nodes; - for (auto &node : alive_nodes_) { - if (node.second->is_head_node()) { - head_nodes.push_back(node.first); + { + absl::ReaderMutexLock lock(&mutex_); + for (auto &node : alive_nodes_) { + if (node.second->is_head_node()) { + head_nodes.push_back(node.first); + } } } @@ -150,6 +154,7 @@ void GcsNodeManager::HandleRegisterNode(rpc::RegisterNodeRequest request, void GcsNodeManager::HandleCheckAlive(rpc::CheckAliveRequest request, rpc::CheckAliveReply *reply, rpc::SendReplyCallback send_reply_callback) { + absl::ReaderMutexLock lock(&mutex_); reply->set_ray_version(kRayVersion); for (const auto &id : request.node_ids()) { const auto node_id = NodeID::FromBinary(id); @@ -163,19 +168,17 @@ void GcsNodeManager::HandleCheckAlive(rpc::CheckAliveRequest request, void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, rpc::UnregisterNodeReply *reply, rpc::SendReplyCallback send_reply_callback) { + absl::MutexLock lock(&mutex_); NodeID node_id = NodeID::FromBinary(request.node_id()); RAY_LOG(DEBUG).WithField(node_id) << "HandleUnregisterNode() for node"; - auto node = RemoveNode(node_id, request.node_death_info()); + auto node = RemoveNodeFromCache( + node_id, request.node_death_info(), rpc::GcsNodeInfo::DEAD, current_sys_time_ms()); if (!node) { RAY_LOG(INFO).WithField(node_id) << "Node is already removed"; return; } - node->set_state(rpc::GcsNodeInfo::DEAD); - node->set_end_time_ms(current_sys_time_ms()); - AddDeadNodeToCache(node); - auto node_info_delta = std::make_shared(); node_info_delta->set_node_id(node->node_id()); node_info_delta->mutable_death_info()->CopyFrom(request.node_death_info()); @@ -234,6 +237,7 @@ void GcsNodeManager::DrainNode(const NodeID &node_id) { void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, rpc::GetAllNodeInfoReply *reply, rpc::SendReplyCallback send_reply_callback) { + absl::ReaderMutexLock lock(&mutex_); int64_t limit = (request.limit() > 0) ? request.limit() : std::numeric_limits::max(); absl::flat_hash_set node_ids; @@ -289,7 +293,8 @@ void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, const bool has_node_selectors = request.node_selectors_size() > 0; auto add_to_response = - [&](const absl::flat_hash_map> &nodes) { + [&](const absl::flat_hash_map> + &nodes) { for (const auto &[node_id, node_info_ptr] : nodes) { if (num_added >= limit) { break; @@ -335,8 +340,25 @@ void GcsNodeManager::HandleGetAllNodeInfo(rpc::GetAllNodeInfoRequest request, ++counts_[CountType::GET_ALL_NODE_INFO_REQUEST]; } -std::optional> GcsNodeManager::GetAliveNode( - const ray::NodeID &node_id) const { +std::shared_ptr GcsNodeManager::SelectRandomAliveNode() const { + absl::ReaderMutexLock lock(&mutex_); + if (alive_nodes_.empty()) { + return nullptr; + } + + static std::mt19937_64 gen_( + std::chrono::high_resolution_clock::now().time_since_epoch().count()); + std::uniform_int_distribution distribution(0, alive_nodes_.size() - 1); + int key_index = distribution(gen_); + int index = 0; + auto iter = alive_nodes_.begin(); + for (; index != key_index && iter != alive_nodes_.end(); ++index, ++iter) { + } + return iter->second; +} + +std::optional> +GcsNodeManager::GetAliveNodeFromCache(const ray::NodeID &node_id) const { auto iter = alive_nodes_.find(node_id); if (iter == alive_nodes_.end()) { return {}; @@ -345,6 +367,22 @@ std::optional> GcsNodeManager::GetAliveNode( return iter->second; } +std::optional> GcsNodeManager::GetAliveNode( + const ray::NodeID &node_id) const { + absl::ReaderMutexLock lock(&mutex_); + return GetAliveNodeFromCache(node_id); +} + +bool GcsNodeManager::IsNodeDead(const ray::NodeID &node_id) const { + absl::ReaderMutexLock lock(&mutex_); + return dead_nodes_.contains(node_id); +} + +bool GcsNodeManager::IsNodeAlive(const ray::NodeID &node_id) const { + absl::ReaderMutexLock lock(&mutex_); + return alive_nodes_.contains(node_id); +} + rpc::NodeDeathInfo GcsNodeManager::InferDeathInfo(const NodeID &node_id) { auto iter = draining_nodes_.find(node_id); rpc::NodeDeathInfo death_info; @@ -373,14 +411,19 @@ rpc::NodeDeathInfo GcsNodeManager::InferDeathInfo(const NodeID &node_id) { return death_info; } -void GcsNodeManager::AddNode(std::shared_ptr node) { +void GcsNodeManager::AddNode(std::shared_ptr node) { + absl::MutexLock lock(&mutex_); + AddNodeToCache(node); +} + +void GcsNodeManager::AddNodeToCache(std::shared_ptr node) { auto node_id = NodeID::FromBinary(node->node_id()); auto iter = alive_nodes_.find(node_id); if (iter == alive_nodes_.end()) { alive_nodes_.emplace(node_id, node); - // Notify all listeners. + // Notify all listeners by posting back on their io_context for (auto &listener : node_added_listeners_) { - listener(node); + listener.Post("NodeManager.AddNodeCallback", node); } } } @@ -388,12 +431,14 @@ void GcsNodeManager::AddNode(std::shared_ptr node) { void GcsNodeManager::SetNodeDraining( const NodeID &node_id, std::shared_ptr drain_request) { - auto maybe_node = GetAliveNode(node_id); + absl::MutexLock lock(&mutex_); + auto maybe_node = GetAliveNodeFromCache(node_id); if (!maybe_node.has_value()) { RAY_LOG(INFO).WithField(node_id) << "Skip setting node to be draining, which is already removed"; return; } + auto iter = draining_nodes_.find(node_id); if (iter == draining_nodes_.end()) { draining_nodes_.emplace(node_id, drain_request); @@ -408,27 +453,42 @@ void GcsNodeManager::SetNodeDraining( } } -std::shared_ptr GcsNodeManager::RemoveNode( - const ray::NodeID &node_id, const rpc::NodeDeathInfo &node_death_info) { - std::shared_ptr removed_node; +std::shared_ptr GcsNodeManager::RemoveNode( + const NodeID &node_id, + const rpc::NodeDeathInfo &node_death_info, + const rpc::GcsNodeInfo::GcsNodeState node_state, + const int64_t update_time) { + absl::MutexLock lock(&mutex_); + return RemoveNodeFromCache(node_id, node_death_info, node_state, update_time); +} + +std::shared_ptr GcsNodeManager::RemoveNodeFromCache( + const NodeID &node_id, + const rpc::NodeDeathInfo &node_death_info, + const rpc::GcsNodeInfo::GcsNodeState node_state, + const int64_t update_time) { + std::shared_ptr removed_node; auto iter = alive_nodes_.find(node_id); if (iter != alive_nodes_.end()) { - removed_node = std::move(iter->second); - - // Set node death info. - auto death_info = removed_node->mutable_death_info(); - death_info->CopyFrom(node_death_info); + // Set node death info. For thread safety, we don't update the node info in place (as + // it's a const) so instead we create a node to return based on the information on + // hand before removing it from the cache. + const auto updated = std::make_shared(*iter->second); + *updated->mutable_death_info() = node_death_info; + updated->set_state(node_state); + updated->set_end_time_ms(update_time); + removed_node = std::shared_ptr(updated); RAY_LOG(INFO).WithField(node_id).WithField("node_name", removed_node->node_name()) - << ", death reason = " << rpc::NodeDeathInfo_Reason_Name(death_info->reason()) - << ", death message = " << death_info->reason_message(); + << ", death reason = " << rpc::NodeDeathInfo_Reason_Name(node_death_info.reason()) + << ", death message = " << node_death_info.reason_message(); // Record stats that there's a new removed node. ray_metric_node_failures_total_.Record(1); // Remove from alive nodes. alive_nodes_.erase(iter); // Remove from draining nodes if present. draining_nodes_.erase(node_id); - if (death_info->reason() == rpc::NodeDeathInfo::UNEXPECTED_TERMINATION) { + if (node_death_info.reason() == rpc::NodeDeathInfo::UNEXPECTED_TERMINATION) { // Broadcast a warning to all of the drivers indicating that the node // has been marked as dead. // TODO(rkn): Define this constant somewhere else. @@ -454,7 +514,7 @@ std::shared_ptr GcsNodeManager::RemoveNode( // Notify all listeners. for (auto &listener : node_removed_listeners_) { - listener(removed_node); + listener.Post("NodeManager.RemoveNodeCallback", removed_node); } } return removed_node; @@ -462,12 +522,17 @@ std::shared_ptr GcsNodeManager::RemoveNode( void GcsNodeManager::OnNodeFailure( const NodeID &node_id, const std::function &node_table_updated_callback) { - auto maybe_node = GetAliveNode(node_id); + absl::MutexLock lock(&mutex_); + InternalOnNodeFailure(node_id, node_table_updated_callback); +} + +void GcsNodeManager::InternalOnNodeFailure( + const NodeID &node_id, const std::function &node_table_updated_callback) { + auto maybe_node = GetAliveNodeFromCache(node_id); if (maybe_node.has_value()) { rpc::NodeDeathInfo death_info = InferDeathInfo(node_id); - auto node = RemoveNode(node_id, death_info); - node->set_state(rpc::GcsNodeInfo::DEAD); - node->set_end_time_ms(current_sys_time_ms()); + auto node = RemoveNodeFromCache( + node_id, death_info, rpc::GcsNodeInfo::DEAD, current_sys_time_ms()); AddDeadNodeToCache(node); rpc::GcsNodeInfo node_info_delta; @@ -495,9 +560,10 @@ void GcsNodeManager::OnNodeFailure( } void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { + absl::MutexLock lock(&mutex_); for (const auto &[node_id, node_info] : gcs_init_data.Nodes()) { if (node_info.state() == rpc::GcsNodeInfo::ALIVE) { - AddNode(std::make_shared(node_info)); + AddNodeToCache(std::make_shared(node_info)); // Ask the raylet to do initialization in case of GCS restart. // The protocol is correct because when a new node joined, Raylet will do: @@ -505,7 +571,7 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { // - Setup subscription // With this, it means we only need to ask the node registered to do resubscription. // And for the node failed to register, they will crash on the client side due to - // registeration failure. + // registration failure. auto remote_address = rpc::RayletClientPool::GenerateRayletAddress( node_id, node_info.node_manager_address(), node_info.node_manager_port()); auto raylet_client = raylet_client_pool_->GetOrConnectByAddress(remote_address); @@ -521,7 +587,7 @@ void GcsNodeManager::Initialize(const GcsInitData &gcs_init_data) { [](const auto &left, const auto &right) { return left.second < right.second; }); } -void GcsNodeManager::AddDeadNodeToCache(std::shared_ptr node) { +void GcsNodeManager::AddDeadNodeToCache(std::shared_ptr node) { if (dead_nodes_.size() >= RayConfig::instance().maximum_gcs_dead_node_cached_count()) { const auto &node_id = sorted_dead_node_list_.front().first; gcs_table_storage_->NodeTable().Delete(node_id, {[](const auto &) {}, io_context_}); @@ -547,12 +613,14 @@ std::string GcsNodeManager::DebugString() const { void GcsNodeManager::UpdateAliveNode( const NodeID &node_id, const rpc::syncer::ResourceViewSyncMessage &resource_view_sync_message) { - auto maybe_node_info = GetAliveNode(node_id); + absl::MutexLock lock(&mutex_); + auto maybe_node_info = GetAliveNodeFromCache(node_id); if (maybe_node_info == absl::nullopt) { return; } - auto snapshot = maybe_node_info.value()->mutable_state_snapshot(); + auto new_node_info = *maybe_node_info.value(); + auto *snapshot = new_node_info.mutable_state_snapshot(); if (resource_view_sync_message.idle_duration_ms() > 0) { snapshot->set_state(rpc::NodeSnapshot::IDLE); @@ -565,6 +633,12 @@ void GcsNodeManager::UpdateAliveNode( if (resource_view_sync_message.is_draining()) { snapshot->set_state(rpc::NodeSnapshot::DRAINING); } + + // N.B. For thread safety, all updates to alive_nodes_ need to follow a + // read/modify/write sort of pattern. This is because the underlying map contains const + // variables + alive_nodes_[node_id] = + std::make_shared(std::move(new_node_info)); } } // namespace gcs diff --git a/src/ray/gcs/gcs_node_manager.h b/src/ray/gcs/gcs_node_manager.h index 8e3a0bf5be5e..74ef4dda1a35 100644 --- a/src/ray/gcs/gcs_node_manager.h +++ b/src/ray/gcs/gcs_node_manager.h @@ -95,15 +95,10 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { /// /// \param node_id The ID of the failed node. /// \param node_table_updated_callback The status callback function after - /// faled node info is updated to gcs node table. + /// failed node info is updated to gcs node table. void OnNodeFailure(const NodeID &node_id, const std::function &node_table_updated_callback); - /// Add an alive node. - /// - /// \param node The info of the node to be added. - void AddNode(std::shared_ptr node); - /// Set the node to be draining. /// /// \param node_id The ID of the draining node. This node must already @@ -112,52 +107,72 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { void SetNodeDraining(const NodeID &node_id, std::shared_ptr request); - /// Remove a node from alive nodes. The node's death information will also be set. - /// - /// \param node_id The ID of the node to be removed. - /// \param node_death_info The node death info to set. - /// \return The removed node, with death info set. If the node is not found, return - /// nullptr. - std::shared_ptr RemoveNode(const NodeID &node_id, - const rpc::NodeDeathInfo &node_death_info); - /// Get alive node by ID. /// /// \param node_id The id of the node. /// \return the node if it is alive. Optional empty value if it is not alive. - std::optional> GetAliveNode( + std::optional> GetAliveNode( const NodeID &node_id) const; + /// Check if node is dead by ID where dead means that it's still in the dead node list + /// N.B. this method may return false when the nodes isn't included in the dead node + /// cache. + /// + /// \param node_id The id of the node. + /// \return If the node is known to be dead + bool IsNodeDead(const ray::NodeID &node_id) const; + + /// Check if node is alive by ID. + /// + /// \param node_id The id of the node. + /// \return If the node is known to be dead + bool IsNodeAlive(const ray::NodeID &node_id) const; + /// Get all alive nodes. /// - /// \return all alive nodes. - const absl::flat_hash_map> &GetAllAliveNodes() + /// \return all alive nodes. Returns a copy of the map for thread safety + absl::flat_hash_map> GetAllAliveNodes() const { + absl::ReaderMutexLock lock(&mutex_); return alive_nodes_; } + /// Selects a random node from the list of alive nodes + /// + /// \returns a random node or nullptr if there are no alive nodes + std::shared_ptr SelectRandomAliveNode() const; + /// Get all dead nodes. - const absl::flat_hash_map> &GetAllDeadNodes() + /// + /// \return all dead nodes. Returns a copy of the map for thread safety + absl::flat_hash_map> GetAllDeadNodes() const { + absl::ReaderMutexLock lock(&mutex_); return dead_nodes_; } /// Add listener to monitor the remove action of nodes. /// /// \param listener The handler which process the remove of nodes. + /// \param io_context the context to post the listener function to void AddNodeRemovedListener( - std::function)> listener) { + std::function)> listener, + instrumented_io_context &io_context) { + absl::MutexLock lock(&mutex_); RAY_CHECK(listener); - node_removed_listeners_.emplace_back(std::move(listener)); + node_removed_listeners_.emplace_back(std::move(listener), io_context); } /// Add listener to monitor the add action of nodes. /// /// \param listener The handler which process the add of nodes. + /// \param io_context the context to post the listener function toƒ void AddNodeAddedListener( - std::function)> listener) { + std::function)> listener, + instrumented_io_context &io_context) { + absl::MutexLock lock(&mutex_); RAY_CHECK(listener); - node_added_listeners_.emplace_back(std::move(listener)); + node_added_listeners_.emplace_back(std::move(listener), io_context); } /// Initialize with the gcs tables data synchronously. @@ -181,19 +196,77 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { const NodeID &node_id, const rpc::syncer::ResourceViewSyncMessage &resource_view_sync_message); + /// Add an alive node. + /// + /// \param node The info of the node to be added. + void AddNode(std::shared_ptr node); + + /// Remove a node from alive nodes. The node's death information will also be set. + /// + /// \param node_id The ID of the node to be removed. + /// \param node_death_info The node death info to set. + /// \param node_state the state to set the node to after it's removed + /// \param update_time the update time to be applied to the node info + /// \return The removed node, with death info set. If the node is not found, return + /// nullptr. + std::shared_ptr RemoveNode( + const NodeID &node_id, + const rpc::NodeDeathInfo &node_death_info, + const rpc::GcsNodeInfo::GcsNodeState node_state, + const int64_t update_time); + private: + /// Add an alive node. + /// + /// \param node The info of the node to be added. + void AddNodeToCache(std::shared_ptr node) + ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + /// Add the dead node to the cache. If the cache is full, the earliest dead node is /// evicted. /// /// \param node The node which is dead. - void AddDeadNodeToCache(std::shared_ptr node); + void AddDeadNodeToCache(std::shared_ptr node) + ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + + /// Remove a node from alive nodes cache. The node's death information will also be set. + /// + /// \param node_id The ID of the node to be removed. + /// \param node_death_info The node death info to set. + /// \param node_state the state to set the node to after it's removed + /// \param update_time the update time to be applied to the node info + /// \return The removed node, with death info set. If the node is not found, return + /// nullptr. + std::shared_ptr RemoveNodeFromCache( + const NodeID &node_id, + const rpc::NodeDeathInfo &node_death_info, + const rpc::GcsNodeInfo::GcsNodeState node_state, + const int64_t update_time) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); + + /// Retrieves the node from the alive_nodes cache without acquiring a lock + /// + /// \param node_id The id of the node. + /// \return the node if it is alive. Optional empty value if it is not alive. + std::optional> GetAliveNodeFromCache( + const ray::NodeID &node_id) const ABSL_SHARED_LOCKS_REQUIRED(mutex_); + + /// Handle a node failure. This will mark the failed node as dead in gcs + /// node table. + /// + /// \param node_id The ID of the failed node. + /// \param node_table_updated_callback The status callback function after + /// failed node info is updated to gcs node table. + void InternalOnNodeFailure(const NodeID &node_id, + const std::function &node_table_updated_callback) + ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); /// Infer death cause of the node based on existing draining requests. /// /// \param node_id The ID of the node. The node must not be removed /// from alive nodes yet. /// \return The inferred death info of the node. - rpc::NodeDeathInfo InferDeathInfo(const NodeID &node_id); + rpc::NodeDeathInfo InferDeathInfo(const NodeID &node_id) + ABSL_EXCLUSIVE_LOCKS_REQUIRED(mutex_); void WriteNodeExportEvent(const rpc::GcsNodeInfo &node_info, bool is_register_event) const; @@ -206,8 +279,8 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { RayConfig::instance().enable_export_api_write_config()); } - rpc::ExportNodeData::GcsNodeState ConvertGCSNodeStateToExport( - rpc::GcsNodeInfo::GcsNodeState node_state) const { + static rpc::ExportNodeData::GcsNodeState ConvertGCSNodeStateToExport( + rpc::GcsNodeInfo::GcsNodeState node_state) { switch (node_state) { case rpc::GcsNodeInfo_GcsNodeState::GcsNodeInfo_GcsNodeState_ALIVE: return rpc::ExportNodeData_GcsNodeState::ExportNodeData_GcsNodeState_ALIVE; @@ -221,8 +294,8 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { } } - rpc::ExportNodeData::NodeDeathInfo::Reason ConvertNodeDeathReasonToExport( - rpc::NodeDeathInfo::Reason reason) const { + static rpc::ExportNodeData::NodeDeathInfo::Reason ConvertNodeDeathReasonToExport( + const rpc::NodeDeathInfo::Reason reason) { switch (reason) { case rpc::NodeDeathInfo_Reason::NodeDeathInfo_Reason_UNSPECIFIED: return rpc::ExportNodeData_NodeDeathInfo_Reason:: @@ -249,24 +322,29 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { } /// Alive nodes. - absl::flat_hash_map> alive_nodes_; + absl::flat_hash_map> alive_nodes_ + ABSL_GUARDED_BY(mutex_); /// Draining nodes. /// This map is used to store the nodes which have received the drain request. - /// Invariant: its keys should alway be a subset of the keys of `alive_nodes_`, + /// Invariant: its keys should always be a subset of the keys of `alive_nodes_`, /// and entry in it should be removed whenever a node is removed from `alive_nodes_`. - absl::flat_hash_map> - draining_nodes_; + absl::flat_hash_map> + draining_nodes_ ABSL_GUARDED_BY(mutex_); /// Dead nodes. - absl::flat_hash_map> dead_nodes_; + absl::flat_hash_map> dead_nodes_ + ABSL_GUARDED_BY(mutex_); /// The nodes are sorted according to the timestamp, and the oldest is at the head of /// the deque. - std::deque> sorted_dead_node_list_; + std::deque> sorted_dead_node_list_ ABSL_GUARDED_BY(mutex_); + /// Listeners which monitors the addition of nodes. - std::vector)>> - node_added_listeners_; + std::vector)>> + node_added_listeners_ ABSL_GUARDED_BY(mutex_); + /// Listeners which monitors the removal of nodes. - std::vector)>> - node_removed_listeners_; + std::vector)>> + node_removed_listeners_ ABSL_GUARDED_BY(mutex_); + /// A publisher for publishing gcs messages. pubsub::GcsPublisher *gcs_publisher_; /// Storage for GCS tables. @@ -276,6 +354,9 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { rpc::RayletClientPool *raylet_client_pool_; /// Cluster ID to be shared with clients when connecting. const ClusterID cluster_id_; + /// Class lock for node manager + mutable absl::Mutex mutex_; + observability::RayEventRecorderInterface &ray_event_recorder_; std::string session_name_; @@ -286,7 +367,7 @@ class GcsNodeManager : public rpc::NodeInfoGcsServiceHandler { GET_ALL_NODE_INFO_REQUEST = 2, CountType_MAX = 3, }; - uint64_t counts_[CountType::CountType_MAX] = {0}; + std::atomic counts_[CountType::CountType_MAX] = {0}; /// If true, node events are exported for Export API bool export_event_write_enabled_ = false; diff --git a/src/ray/gcs/gcs_placement_group_scheduler.cc b/src/ray/gcs/gcs_placement_group_scheduler.cc index f14f380d6018..d77d59f1eaf1 100644 --- a/src/ray/gcs/gcs_placement_group_scheduler.cc +++ b/src/ray/gcs/gcs_placement_group_scheduler.cc @@ -177,7 +177,7 @@ void GcsPlacementGroupScheduler::MarkScheduleCancelled( void GcsPlacementGroupScheduler::PrepareResources( const std::vector> &bundles, - const std::optional> &node, + const std::optional> &node, const StatusCallback &callback) { if (!node.has_value()) { callback(Status::NotFound("Node is already dead.")); @@ -208,7 +208,7 @@ void GcsPlacementGroupScheduler::PrepareResources( void GcsPlacementGroupScheduler::CommitResources( const std::vector> &bundles, - const std::optional> &node, + const std::optional> &node, const StatusCallback callback) { RAY_CHECK(node.has_value()); const auto raylet_client = GetRayletClientFromNode(node.value()); @@ -234,7 +234,7 @@ void GcsPlacementGroupScheduler::CommitResources( void GcsPlacementGroupScheduler::CancelResourceReserve( const std::shared_ptr &bundle_spec, - const std::optional> &node, + const std::optional> &node, int max_retry, int current_retry_cnt) { if (!node.has_value()) { @@ -287,7 +287,7 @@ GcsPlacementGroupScheduler::GetOrConnectRayletClient(const rpc::Address &raylet_ std::shared_ptr GcsPlacementGroupScheduler::GetRayletClientFromNode( - const std::shared_ptr &node) { + const std::shared_ptr &node) { rpc::Address remote_address; remote_address.set_node_id(node->node_id()); remote_address.set_ip_address(node->node_manager_address()); @@ -462,7 +462,7 @@ void GcsPlacementGroupScheduler::OnAllBundleCommitRequestReturned( std::unique_ptr GcsPlacementGroupScheduler::CreateSchedulingContext( const PlacementGroupID &placement_group_id) { - auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); committed_bundle_location_index_.AddNodes(alive_nodes); auto bundle_locations = committed_bundle_location_index_.GetBundleLocations(placement_group_id); @@ -526,7 +526,7 @@ void GcsPlacementGroupScheduler::ReleaseUnusedBundles( // previous lifecycle. In this case, GCS will send a list of bundle ids that // are still needed. And Raylet will release other bundles. If the node is // dead, there is no need to send the request of release unused bundles. - const auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + const auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); for (const auto &alive_node : alive_nodes) { const auto &node_id = alive_node.first; nodes_of_releasing_unused_bundles_.insert(node_id); @@ -556,7 +556,7 @@ void GcsPlacementGroupScheduler::Initialize( // it will get an empty bundle set when raylet fo occurred after GCS server restart. // Init the container that contains the map relation between node and bundle. - auto &alive_nodes = gcs_node_manager_.GetAllAliveNodes(); + auto alive_nodes = gcs_node_manager_.GetAllAliveNodes(); committed_bundle_location_index_.AddNodes(alive_nodes); for (const auto &group : committed_bundles) { diff --git a/src/ray/gcs/gcs_placement_group_scheduler.h b/src/ray/gcs/gcs_placement_group_scheduler.h index 2d6a4039377a..e17692ced38c 100644 --- a/src/ray/gcs/gcs_placement_group_scheduler.h +++ b/src/ray/gcs/gcs_placement_group_scheduler.h @@ -373,7 +373,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// \param callback void PrepareResources( const std::vector> &bundles, - const std::optional> &node, + const std::optional> &node, const StatusCallback &callback); /// Send bundles COMMIT request to a node. This means the placement group creation @@ -384,7 +384,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// \param callback void CommitResources( const std::vector> &bundles, - const std::optional> &node, + const std::optional> &node, const StatusCallback callback); /// Cacnel prepared or committed resources from a node. @@ -397,7 +397,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// \param retry_cnt The number of times the cancel request is retried. void CancelResourceReserve( const std::shared_ptr &bundle_spec, - const std::optional> &node, + const std::optional> &node, int max_retry, int current_retry_cnt); @@ -407,7 +407,7 @@ class GcsPlacementGroupScheduler : public GcsPlacementGroupSchedulerInterface { /// Get an existing lease client for a given node. std::shared_ptr GetRayletClientFromNode( - const std::shared_ptr &node); + const std::shared_ptr &node); /// Called when all prepare requests are returned from nodes. void OnAllBundlePrepareRequestReturned( diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index b0677566f899..6efc51d0f782 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -332,18 +332,18 @@ void GcsServer::Stop() { void GcsServer::InitGcsNodeManager(const GcsInitData &gcs_init_data) { RAY_CHECK(gcs_table_storage_ && gcs_publisher_); - gcs_node_manager_ = - std::make_unique(gcs_publisher_.get(), - gcs_table_storage_.get(), - io_context_provider_.GetDefaultIOContext(), - &raylet_client_pool_, - rpc_server_.GetClusterId(), - *ray_event_recorder_, - config_.session_name); + gcs_node_manager_ = std::make_unique( + gcs_publisher_.get(), + gcs_table_storage_.get(), + io_context_provider_.GetIOContext(), + &raylet_client_pool_, + rpc_server_.GetClusterId(), + *ray_event_recorder_, + config_.session_name); // Initialize by gcs tables data. gcs_node_manager_->Initialize(gcs_init_data); rpc_server_.RegisterService(std::make_unique( - io_context_provider_.GetDefaultIOContext(), + io_context_provider_.GetIOContext(), *gcs_node_manager_, RayConfig::instance().gcs_max_active_rpcs_per_handler())); } @@ -725,7 +725,7 @@ void GcsServer::InitGcsAutoscalerStateManager(const GcsInitData &gcs_init_data) /*overwrite=*/true, {[this, v2_enabled](bool new_value_put) { if (!new_value_put) { - // NOTE(rickyx): We cannot know if an overwirte Put succeeds or fails (e.g. + // NOTE(rickyx): We cannot know if an overwrite Put succeeds or fails (e.g. // when GCS re-started), so we just try to get the value to check if it's // correct. // TODO(rickyx): We could probably load some system configs from internal kv @@ -779,7 +779,7 @@ void GcsServer::InitGcsTaskManager() { void GcsServer::InstallEventListeners() { // Install node event listeners. gcs_node_manager_->AddNodeAddedListener( - [this](const std::shared_ptr &node) { + [this](const std::shared_ptr &node) { // Because a new node has been added, we need to try to schedule the pending // placement groups and the pending actors. auto node_id = NodeID::FromBinary(node->node_id()); @@ -799,9 +799,10 @@ void GcsServer::InstallEventListeners() { gcs_healthcheck_manager_->AddNode(node_id, channel); } cluster_lease_manager_->ScheduleAndGrantLeases(); - }); + }, + io_context_provider_.GetDefaultIOContext()); gcs_node_manager_->AddNodeRemovedListener( - [this](const std::shared_ptr &node) { + [this](const std::shared_ptr &node) { auto node_id = NodeID::FromBinary(node->node_id()); const auto node_ip_address = node->node_manager_address(); // All of the related placement groups and actors should be reconstructed when a @@ -815,7 +816,8 @@ void GcsServer::InstallEventListeners() { gcs_healthcheck_manager_->RemoveNode(node_id); pubsub_handler_->AsyncRemoveSubscriberFrom(node_id.Binary()); gcs_autoscaler_state_manager_->OnNodeDead(node_id); - }); + }, + io_context_provider_.GetDefaultIOContext()); // Install worker event listener. gcs_worker_manager_->AddWorkerDeadListener( diff --git a/src/ray/gcs/gcs_server_io_context_policy.h b/src/ray/gcs/gcs_server_io_context_policy.h index f8a504762162..debc885e2372 100644 --- a/src/ray/gcs/gcs_server_io_context_policy.h +++ b/src/ray/gcs/gcs_server_io_context_policy.h @@ -44,13 +44,9 @@ struct GcsServerIOContextPolicy { return IndexOf("ray_syncer_io_context"); } else if constexpr (std::is_same_v) { return IndexOf("ray_event_io_context"); - } else if constexpr (std::is_same_v) { + } else { // default io context return -1; - } else { - // Due to if-constexpr limitations, this have to be in an else block. - // Using this template to put T into compile error message. - static_assert(AlwaysFalse, "unknown type"); } } diff --git a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc index c03684b62819..29ad8e443730 100644 --- a/src/ray/gcs/tests/gcs_actor_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_actor_scheduler_test.cc @@ -46,7 +46,7 @@ class MockedGcsActorScheduler : public gcs::GcsActorScheduler { protected: void RetryLeasingWorkerFromNode(std::shared_ptr actor, - std::shared_ptr node) override { + std::shared_ptr node) override { ++num_retry_leasing_count_; if (num_retry_leasing_count_ <= 1) { DoRetryLeasingWorkerFromNode(actor, node); @@ -154,17 +154,6 @@ class GcsActorSchedulerTest : public ::testing::Test { const rpc::ResourcesData &resources) { gcs_resource_manager->UpdateNodeNormalTaskResources(node_id, resources); }); - - gcs_node_manager_->AddNodeAddedListener( - [cluster_resource_scheduler = - cluster_resource_scheduler_.get()](std::shared_ptr node) { - scheduling::NodeID node_id(node->node_id()); - auto &cluster_resource_manager = - cluster_resource_scheduler->GetClusterResourceManager(); - auto resource_map = MapFromProtobuf(node->resources_total()); - auto node_resources = ResourceMapToNodeResources(resource_map, resource_map); - cluster_resource_manager.AddOrUpdateNode(node_id, node_resources); - }); } void TearDown() override { io_context_->Stop(); } @@ -203,6 +192,13 @@ class GcsActorSchedulerTest : public ::testing::Test { node_info->mutable_resources_total()->insert(node_resources.begin(), node_resources.end()); gcs_node_manager_->AddNode(node_info); + scheduling::NodeID node_id(node_info->node_id()); + auto &cluster_resource_manager = + cluster_resource_scheduler_->GetClusterResourceManager(); + auto resource_map = MapFromProtobuf(node_info->resources_total()); + auto node_resources_ = ResourceMapToNodeResources(resource_map, resource_map); + cluster_resource_manager.AddOrUpdateNode(node_id, node_resources_); + return node_info; } @@ -405,7 +401,7 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenLeasing) { // Remove the node and cancel the scheduling on this node, the scheduling should be // interrupted. rpc::NodeDeathInfo death_info; - gcs_node_manager_->RemoveNode(node_id, death_info); + gcs_node_manager_->RemoveNode(node_id, death_info, rpc::GcsNodeInfo::DEAD, 1000); ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto actor_ids = gcs_actor_scheduler_->CancelOnNode(node_id); ASSERT_EQ(1, actor_ids.size()); @@ -494,7 +490,7 @@ TEST_F(GcsActorSchedulerTest, TestNodeFailedWhenCreating) { // Remove the node and cancel the scheduling on this node, the scheduling should be // interrupted. rpc::NodeDeathInfo death_info; - gcs_node_manager_->RemoveNode(node_id, death_info); + gcs_node_manager_->RemoveNode(node_id, death_info, rpc::GcsNodeInfo::DEAD, 1000); ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto actor_ids = gcs_actor_scheduler_->CancelOnNode(node_id); ASSERT_EQ(1, actor_ids.size()); @@ -1011,7 +1007,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNodeFailedWhenLeasingByGcs) { // Remove the node and cancel the scheduling on this node, the scheduling should be // interrupted. rpc::NodeDeathInfo death_info; - gcs_node_manager_->RemoveNode(node_id, death_info); + gcs_node_manager_->RemoveNode(node_id, death_info, rpc::GcsNodeInfo::DEAD, 1000); ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto actor_ids = gcs_actor_scheduler_->CancelOnNode(node_id); ASSERT_EQ(1, actor_ids.size()); @@ -1106,7 +1102,7 @@ TEST_F(GcsActorSchedulerTestWithGcsScheduling, TestNodeFailedWhenCreatingByGcs) // Remove the node and cancel the scheduling on this node, the scheduling should be // interrupted. rpc::NodeDeathInfo death_info; - gcs_node_manager_->RemoveNode(node_id, death_info); + gcs_node_manager_->RemoveNode(node_id, death_info, rpc::GcsNodeInfo::DEAD, 1000); ASSERT_EQ(0, gcs_node_manager_->GetAllAliveNodes().size()); auto actor_ids = gcs_actor_scheduler_->CancelOnNode(node_id); ASSERT_EQ(1, actor_ids.size()); diff --git a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index 9cb47087e788..a7a6c20d22e3 100644 --- a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -110,11 +110,13 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { public: void AddNode(const std::shared_ptr &node) { + absl::MutexLock lock(&gcs_node_manager_->mutex_); gcs_node_manager_->alive_nodes_[NodeID::FromBinary(node->node_id())] = node; gcs_autoscaler_state_manager_->OnNodeAdd(*node); } void RemoveNode(const std::shared_ptr &node) { + absl::MutexLock lock(&gcs_node_manager_->mutex_); const auto node_id = NodeID::FromBinary(node->node_id()); node->set_state(rpc::GcsNodeInfo::DEAD); gcs_node_manager_->alive_nodes_.erase(node_id); diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index 69eeba59b14e..2a931f566805 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -40,7 +40,7 @@ class GcsNodeManagerTest : public ::testing::Test { std::make_unique()); gcs_table_storage_ = std::make_unique( std::make_shared()); - io_context_ = std::make_unique("GcsNodeManagerTest"); + io_context_ = std::make_unique("GcsNodeManagerTest"); fake_ray_event_recorder_ = std::make_unique(); } @@ -48,7 +48,7 @@ class GcsNodeManagerTest : public ::testing::Test { std::unique_ptr gcs_table_storage_; std::unique_ptr client_pool_; std::unique_ptr gcs_publisher_; - std::unique_ptr io_context_; + std::unique_ptr io_context_; std::unique_ptr fake_ray_event_recorder_; }; @@ -61,7 +61,7 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { )"); gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), - io_context_->GetIoService(), + *io_context_.get(), client_pool_.get(), ClusterID::Nil(), *fake_ray_event_recorder_, @@ -70,16 +70,18 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { rpc::RegisterNodeRequest register_request; register_request.mutable_node_info()->CopyFrom(*node); rpc::RegisterNodeReply register_reply; - std::promise register_promise; - auto send_register_reply_callback = [®ister_promise](ray::Status status, - std::function f1, - std::function f2) { - register_promise.set_value(true); + std::atomic_int callbacks_remaining = 1; + auto send_register_reply_callback = [&callbacks_remaining](ray::Status status, + std::function f1, + std::function f2) { + callbacks_remaining--; }; // Add a node to the manager node_manager.HandleRegisterNode( register_request, ®ister_reply, send_register_reply_callback); - register_promise.get_future().get(); + while (callbacks_remaining > 0) { + io_context_->run_one(); + } auto register_events = fake_ray_event_recorder_->FlushBuffer(); // Test the node definition event + alive node lifecycle event @@ -116,15 +118,17 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { rpc::NodeDeathInfo::EXPECTED_TERMINATION); unregister_request.mutable_node_death_info()->set_reason_message("mock reason message"); rpc::UnregisterNodeReply unregister_reply; - std::promise unregister_promise; - auto send_unregister_reply_callback = [&unregister_promise](ray::Status status, - std::function f1, - std::function f2) { - unregister_promise.set_value(true); + callbacks_remaining = 1; + auto send_unregister_reply_callback = [&callbacks_remaining](ray::Status status, + std::function f1, + std::function f2) { + callbacks_remaining--; }; node_manager.HandleUnregisterNode( unregister_request, &unregister_reply, send_unregister_reply_callback); - unregister_promise.get_future().get(); + while (callbacks_remaining > 0) { + io_context_->run_one(); + } // Test the dead node lifecycle event auto unregister_events = fake_ray_event_recorder_->FlushBuffer(); @@ -150,7 +154,7 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { TEST_F(GcsNodeManagerTest, TestManagement) { gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), - io_context_->GetIoService(), + *io_context_, client_pool_.get(), ClusterID::Nil(), *fake_ray_event_recorder_, @@ -163,59 +167,119 @@ TEST_F(GcsNodeManagerTest, TestManagement) { ASSERT_EQ(node, node_manager.GetAliveNode(node_id).value()); rpc::NodeDeathInfo death_info; - node_manager.RemoveNode(node_id, death_info); + node_manager.RemoveNode(node_id, death_info, rpc::GcsNodeInfo::DEAD, 1000); ASSERT_TRUE(!node_manager.GetAliveNode(node_id).has_value()); } TEST_F(GcsNodeManagerTest, TestListener) { gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), - io_context_->GetIoService(), + *io_context_, client_pool_.get(), ClusterID::Nil(), *fake_ray_event_recorder_, "test_session_name"); // Test AddNodeAddedListener. int node_count = 1000; - std::vector> added_nodes; + std::atomic_int callbacks_remaining = node_count; + + std::vector> added_nodes; node_manager.AddNodeAddedListener( - [&added_nodes](std::shared_ptr node) { + [&added_nodes, &callbacks_remaining](std::shared_ptr node) { added_nodes.emplace_back(std::move(node)); - }); + --callbacks_remaining; + }, + *io_context_); for (int i = 0; i < node_count; ++i) { auto node = GenNodeInfo(); node_manager.AddNode(node); } + + // Block until all callbacks have processed + while (callbacks_remaining > 0) { + io_context_->run_one(); + } + ASSERT_EQ(node_count, added_nodes.size()); // Test GetAllAliveNodes. - auto &alive_nodes = node_manager.GetAllAliveNodes(); + auto alive_nodes = node_manager.GetAllAliveNodes(); ASSERT_EQ(added_nodes.size(), alive_nodes.size()); for (const auto &node : added_nodes) { ASSERT_EQ(1, alive_nodes.count(NodeID::FromBinary(node->node_id()))); } // Test AddNodeRemovedListener. - std::vector> removed_nodes; + + // reset the counter + callbacks_remaining = node_count; + std::vector> removed_nodes; node_manager.AddNodeRemovedListener( - [&removed_nodes](std::shared_ptr node) { + [&removed_nodes, + &callbacks_remaining](std::shared_ptr node) { removed_nodes.emplace_back(std::move(node)); - }); + --callbacks_remaining; + }, + *io_context_); rpc::NodeDeathInfo death_info; for (int i = 0; i < node_count; ++i) { - node_manager.RemoveNode(NodeID::FromBinary(added_nodes[i]->node_id()), death_info); + node_manager.RemoveNode(NodeID::FromBinary(added_nodes[i]->node_id()), + death_info, + rpc::GcsNodeInfo::DEAD, + 1000); } + + // Block until all callbacks have processed + while (callbacks_remaining > 0) { + io_context_->run_one(); + } + ASSERT_EQ(node_count, removed_nodes.size()); ASSERT_TRUE(node_manager.GetAllAliveNodes().empty()); for (int i = 0; i < node_count; ++i) { - ASSERT_EQ(added_nodes[i], removed_nodes[i]); + ASSERT_EQ(added_nodes[i]->node_id(), removed_nodes[i]->node_id()); } } +// Register a node-added listener that calls back into +// GcsNodeManager::IsNodeAlive(node_id) during notification. Verify no deadlock and that +// state remains consistent. This validates the "post-notify" approach. + +TEST_F(GcsNodeManagerTest, TestAddNodeListenerCallbackDeadlock) { + gcs::GcsNodeManager node_manager(gcs_publisher_.get(), + gcs_table_storage_.get(), + *io_context_, + client_pool_.get(), + ClusterID::Nil(), + *fake_ray_event_recorder_, + "test_session_name"); + int node_count = 10; + std::atomic_int callbacks_remaining = node_count; + node_manager.AddNodeAddedListener( + [&node_manager, + &callbacks_remaining](std::shared_ptr node) { + rpc::NodeDeathInfo death_info; + node_manager.RemoveNode(NodeID::FromBinary(node->node_id()), + death_info, + rpc::GcsNodeInfo::DEAD, + 1000); + --callbacks_remaining; + }, + *io_context_); + for (int i = 0; i < node_count; ++i) { + auto node = GenNodeInfo(); + node_manager.AddNode(node); + } + while (callbacks_remaining > 0) { + io_context_->run_one(); + } + ASSERT_EQ(0, node_manager.GetAllAliveNodes().size()); +} + TEST_F(GcsNodeManagerTest, TestUpdateAliveNode) { gcs::GcsNodeManager node_manager(gcs_publisher_.get(), gcs_table_storage_.get(), - io_context_->GetIoService(), + *io_context_, client_pool_.get(), ClusterID::Nil(), *fake_ray_event_recorder_, @@ -270,6 +334,25 @@ TEST_F(GcsNodeManagerTest, TestUpdateAliveNode) { EXPECT_EQ(updated_node.value()->state_snapshot().state(), rpc::NodeSnapshot::DRAINING); } + + // Test 4: Update node with draining state with activity and idle duration (new activity + // should be ignored) + { + rpc::syncer::ResourceViewSyncMessage sync_message; + sync_message.set_idle_duration_ms(100); + sync_message.set_is_draining(true); + sync_message.add_node_activity("Very Busy workers on node."); + sync_message.add_node_activity("Oh such very very busy workers on node."); + + node_manager.UpdateAliveNode(node_id, sync_message); + + auto updated_node = node_manager.GetAliveNode(node_id); + EXPECT_TRUE(updated_node.has_value()); + EXPECT_EQ(updated_node.value()->state_snapshot().state(), + rpc::NodeSnapshot::DRAINING); + EXPECT_FALSE(updated_node.value()->state_snapshot().node_activity_size() == 1); + EXPECT_EQ(updated_node.value()->state_snapshot().idle_duration_ms(), 100); + } } } // namespace ray diff --git a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc index e49c2d860384..7906f4b27b4d 100644 --- a/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc +++ b/src/ray/gcs/tests/gcs_placement_group_scheduler_test.cc @@ -143,7 +143,8 @@ class GcsPlacementGroupSchedulerTest : public ::testing::Test { void RemoveNode(const std::shared_ptr &node) { rpc::NodeDeathInfo death_info; - gcs_node_manager_->RemoveNode(NodeID::FromBinary(node->node_id()), death_info); + gcs_node_manager_->RemoveNode( + NodeID::FromBinary(node->node_id()), death_info, rpc::GcsNodeInfo::DEAD, 1000); gcs_resource_manager_->OnNodeDead(NodeID::FromBinary(node->node_id())); } diff --git a/src/ray/util/event.cc b/src/ray/util/event.cc index bcb4422c6502..efdd53ff8db4 100644 --- a/src/ray/util/event.cc +++ b/src/ray/util/event.cc @@ -201,17 +201,20 @@ EventManager &EventManager::Instance() { return instance_; } -bool EventManager::IsEmpty() { +bool EventManager::IsEmpty() const { + absl::ReaderMutexLock lock(&mutex_); return reporter_map_.empty() && export_log_reporter_map_.empty(); } void EventManager::Publish(const rpc::Event &event, const json &custom_fields) { + absl::ReaderMutexLock lock(&mutex_); for (const auto &element : reporter_map_) { (element.second)->Report(event, custom_fields); } } void EventManager::PublishExportEvent(const rpc::ExportEvent &export_event) { + absl::ReaderMutexLock lock(&mutex_); auto element = export_log_reporter_map_.find(export_event.source_type()); RAY_CHECK(element != export_log_reporter_map_.end()) << "RayEventInit wasn't called with the necessary source type " @@ -221,15 +224,18 @@ void EventManager::PublishExportEvent(const rpc::ExportEvent &export_event) { } void EventManager::AddReporter(std::shared_ptr reporter) { + absl::MutexLock lock(&mutex_); reporter_map_.emplace(reporter->GetReporterKey(), reporter); } void EventManager::AddExportReporter(rpc::ExportEvent_SourceType source_type, std::shared_ptr reporter) { + absl::MutexLock lock(&mutex_); export_log_reporter_map_.emplace(source_type, reporter); } void EventManager::ClearReporters() { + absl::MutexLock lock(&mutex_); reporter_map_.clear(); export_log_reporter_map_.clear(); } diff --git a/src/ray/util/event.h b/src/ray/util/event.h index 8ac0ca4bb1c2..4dc9371a8c5f 100644 --- a/src/ray/util/event.h +++ b/src/ray/util/event.h @@ -150,7 +150,7 @@ class EventManager final { ~EventManager() = default; - bool IsEmpty(); + bool IsEmpty() const; // We added `const json &custom_fields` here because we need to support typed custom // fields. @@ -174,9 +174,11 @@ class EventManager final { private: EventManager(); - absl::flat_hash_map> reporter_map_; + absl::flat_hash_map> reporter_map_ + ABSL_GUARDED_BY(mutex_); absl::flat_hash_map> - export_log_reporter_map_; + export_log_reporter_map_ ABSL_GUARDED_BY(mutex_); + mutable absl::Mutex mutex_; }; // store the event context. Different workers of a process in core_worker have different From 95f86abc278f7dc3bab84ddcabf1c2321d609599 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Tue, 23 Sep 2025 13:27:33 -0700 Subject: [PATCH 1356/1566] [data][train] Refactor call_with_retry into shared library and use it to retry checkpoint upload (#56608) This PR moves `call_with_retry` from `ray/data/_internal` to `ray/_private` so that it can be used in other libraries like Ray Train. It also adds a new `retry` decorator that wraps around `call_with_retry`. Note that I had to remove `*` from `call_with_retry`'s arguments to get the decorator to work on Python object methods because Python passes `self` as one of the `*args`. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 3 - python/ray/_common/retry.py | 82 ++++++++++++++++ python/ray/_common/tests/BUILD.bazel | 1 + python/ray/_common/tests/test_retry.py | 95 +++++++++++++++++++ .../_internal/datasource/lance_datasource.py | 6 +- .../_internal/datasource/parquet_datasink.py | 2 +- python/ray/data/_internal/util.py | 41 +------- python/ray/data/datasource/file_datasink.py | 2 +- python/ray/train/v2/_internal/constants.py | 7 ++ .../train/v2/_internal/execution/context.py | 25 +++-- 10 files changed, 206 insertions(+), 58 deletions(-) create mode 100644 python/ray/_common/retry.py create mode 100644 python/ray/_common/tests/test_retry.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index e884695e4439..2fade5ac41ec 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1241,9 +1241,6 @@ python/ray/data/_internal/util.py DOC402: Function `make_async_gen` has "yield" statements, but the docstring does not have a "Yields" section DOC404: Function `make_async_gen` yield type(s) in docstring not consistent with the return annotation. Return annotation exists, but docstring "yields" section does not exist or has 0 type(s). DOC103: Method `RetryingPyFileSystemHandler.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [retryable_errors: List[str]]. Arguments in the docstring but not in the function signature: [context: ]. - DOC104: Function `call_with_retry`: Arguments are the same in the docstring and the function signature, but are in a different order. - DOC105: Function `call_with_retry`: Argument names match, but type hints in these args do not match: f, description, match, max_attempts, max_backoff_s - DOC201: Function `call_with_retry` does not have a return section in docstring DOC104: Function `iterate_with_retry`: Arguments are the same in the docstring and the function signature, but are in a different order. DOC105: Function `iterate_with_retry`: Argument names match, but type hints in these args do not match: iterable_factory, description, match, max_attempts, max_backoff_s DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" diff --git a/python/ray/_common/retry.py b/python/ray/_common/retry.py new file mode 100644 index 000000000000..947a6360f53f --- /dev/null +++ b/python/ray/_common/retry.py @@ -0,0 +1,82 @@ +import functools +import logging +import random +import time +from typing import Any, Callable, List, Optional + +logger = logging.getLogger(__name__) + + +def call_with_retry( + f: Callable, + description: str, + match: Optional[List[str]] = None, + max_attempts: int = 10, + max_backoff_s: int = 32, + *args, + **kwargs, +) -> Any: + """Retry a function with exponential backoff. + + Args: + f: The function to retry. + description: An imperative description of the function being retried. For + example, "open the file". + match: A list of strings to match in the exception message. If ``None``, any + error is retried. + max_attempts: The maximum number of attempts to retry. + max_backoff_s: The maximum number of seconds to backoff. + *args: Arguments to pass to the function. + **kwargs: Keyword arguments to pass to the function. + + Returns: + The result of the function. + """ + # TODO: consider inverse match and matching exception type + assert max_attempts >= 1, f"`max_attempts` must be positive. Got {max_attempts}." + + for i in range(max_attempts): + try: + return f(*args, **kwargs) + except Exception as e: + exception_str = str(e) + is_retryable = match is None or any( + pattern in exception_str for pattern in match + ) + if is_retryable and i + 1 < max_attempts: + # Retry with binary exponential backoff with 20% random jitter. + backoff = min(2**i, max_backoff_s) * (random.uniform(0.8, 1.2)) + logger.debug( + f"Retrying {i+1} attempts to {description} after {backoff} seconds." + ) + time.sleep(backoff) + else: + if is_retryable: + logger.debug( + f"Failed to {description} after {max_attempts} attempts. Raising." + ) + else: + logger.debug( + f"Did not find a match for {exception_str}. Raising after {i+1} attempts." + ) + raise e from None + + +def retry( + description: str, + match: Optional[List[str]] = None, + max_attempts: int = 10, + max_backoff_s: int = 32, +) -> Callable: + """Decorator-based version of call_with_retry.""" + + def decorator(func: Callable) -> Callable: + @functools.wraps(func) + def inner(*args, **kwargs): + return call_with_retry( + func, description, match, max_attempts, max_backoff_s, *args, **kwargs + ) + + return inner + + return decorator diff --git a/python/ray/_common/tests/BUILD.bazel b/python/ray/_common/tests/BUILD.bazel index d9aba47b5eb9..8ee9c65edbfd 100644 --- a/python/ray/_common/tests/BUILD.bazel +++ b/python/ray/_common/tests/BUILD.bazel @@ -19,6 +19,7 @@ py_test_module_list( "test_formatters.py", "test_network_utils.py", "test_ray_option_utils.py", + "test_retry.py", "test_signal_semaphore_utils.py", "test_signature.py", "test_utils.py", diff --git a/python/ray/_common/tests/test_retry.py b/python/ray/_common/tests/test_retry.py new file mode 100644 index 000000000000..3723a970b331 --- /dev/null +++ b/python/ray/_common/tests/test_retry.py @@ -0,0 +1,95 @@ +import sys + +import pytest + +from ray._common.retry import ( + call_with_retry, + retry, +) + + +def test_call_with_retry_immediate_success_with_args(): + def func(a, b): + return [a, b] + + assert call_with_retry(func, "func", [], 1, 0, "a", "b") == ["a", "b"] + + +def test_retry_immediate_success_with_object_args(): + class MyClass: + @retry("func", [], 1, 0) + def func(self, a, b): + return [a, b] + + assert MyClass().func("a", "b") == ["a", "b"] + + +@pytest.mark.parametrize("use_decorator", [True, False]) +def test_retry_last_attempt_successful_with_appropriate_wait_time( + monkeypatch, use_decorator +): + sleep_total = 0 + + def sleep(x): + nonlocal sleep_total + sleep_total += x + + monkeypatch.setattr("time.sleep", sleep) + monkeypatch.setattr("random.uniform", lambda a, b: 1) + + pattern = "have not reached 4th attempt" + call_count = 0 + + def func(): + nonlocal call_count + call_count += 1 + if call_count == 4: + return "success" + raise ValueError(pattern) + + args = ["func", [pattern], 4, 3] + if use_decorator: + assert retry(*args)(func)() == "success" + else: + assert call_with_retry(func, *args) == "success" + assert sleep_total == 6 # 1 + 2 + 3 + + +@pytest.mark.parametrize("use_decorator", [True, False]) +def test_retry_unretryable_error(use_decorator): + call_count = 0 + + def func(): + nonlocal call_count + call_count += 1 + raise ValueError("unretryable error") + + args = ["func", ["only retryable error"], 10, 0] + with pytest.raises(ValueError, match="unretryable error"): + if use_decorator: + retry(*args)(func)() + else: + call_with_retry(func, *args) + assert call_count == 1 + + +@pytest.mark.parametrize("use_decorator", [True, False]) +def test_retry_fail_all_attempts_retry_all_errors(use_decorator): + call_count = 0 + + def func(): + nonlocal call_count + call_count += 1 + raise ValueError(str(call_count)) + + args = ["func", None, 3, 0] + with pytest.raises(ValueError): + if use_decorator: + retry(*args)(func)() + else: + call_with_retry(func, *args) + assert call_count == 3 + + +if __name__ == "__main__": + sys.exit(pytest.main(["-sv", __file__])) diff --git a/python/ray/data/_internal/datasource/lance_datasource.py b/python/ray/data/_internal/datasource/lance_datasource.py index 643bb97066f5..7eeaa2bf8dcb 100644 --- a/python/ray/data/_internal/datasource/lance_datasource.py +++ b/python/ray/data/_internal/datasource/lance_datasource.py @@ -3,10 +3,8 @@ import numpy as np -from ray.data._internal.util import ( - _check_import, - call_with_retry, -) +from ray._common.retry import call_with_retry +from ray.data._internal.util import _check_import from ray.data.block import BlockMetadata from ray.data.context import DataContext from ray.data.datasource.datasource import Datasource, ReadTask diff --git a/python/ray/data/_internal/datasource/parquet_datasink.py b/python/ray/data/_internal/datasource/parquet_datasink.py index 4f9ceea597a4..91639787672d 100644 --- a/python/ray/data/_internal/datasource/parquet_datasink.py +++ b/python/ray/data/_internal/datasource/parquet_datasink.py @@ -2,10 +2,10 @@ from pathlib import Path from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional +from ray._common.retry import call_with_retry from ray.data._internal.execution.interfaces import TaskContext from ray.data._internal.planner.plan_write_op import WRITE_UUID_KWARG_NAME from ray.data._internal.savemode import SaveMode -from ray.data._internal.util import call_with_retry from ray.data.block import Block, BlockAccessor from ray.data.datasource.file_based_datasource import _resolve_kwargs from ray.data.datasource.file_datasink import _FileDatasink diff --git a/python/ray/data/_internal/util.py b/python/ray/data/_internal/util.py index 77b6b75f4e9b..486550afbb5f 100644 --- a/python/ray/data/_internal/util.py +++ b/python/ray/data/_internal/util.py @@ -33,6 +33,7 @@ from packaging.version import parse as parse_version import ray +from ray._common.retry import call_with_retry from ray._private.arrow_utils import get_pyarrow_version from ray.data.context import DEFAULT_READ_OP_MIN_NUM_BLOCKS, WARN_PREFIX, DataContext @@ -1415,46 +1416,6 @@ def open_input_file(self, path: str) -> "pyarrow.NativeFile": ) -def call_with_retry( - f: Callable[[], Any], - description: str, - *, - match: Optional[List[str]] = None, - max_attempts: int = 10, - max_backoff_s: int = 32, -) -> Any: - """Retry a function with exponential backoff. - - Args: - f: The function to retry. - match: A list of strings to match in the exception message. If ``None``, any - error is retried. - description: An imperitive description of the function being retried. For - example, "open the file". - max_attempts: The maximum number of attempts to retry. - max_backoff_s: The maximum number of seconds to backoff. - """ - assert max_attempts >= 1, f"`max_attempts` must be positive. Got {max_attempts}." - - for i in range(max_attempts): - try: - return f() - except Exception as e: - is_retryable = match is None or any(pattern in str(e) for pattern in match) - if is_retryable and i + 1 < max_attempts: - # Retry with binary expoential backoff with random jitter. - backoff = min((2 ** (i + 1)), max_backoff_s) * (random.random()) - logger.debug( - f"Retrying {i+1} attempts to {description} after {backoff} seconds." - ) - time.sleep(backoff) - else: - logger.debug( - f"Did not find a match for {str(e)}. Raising after {i+1} attempts." - ) - raise e from None - - def iterate_with_retry( iterable_factory: Callable[[], Iterable], description: str, diff --git a/python/ray/data/datasource/file_datasink.py b/python/ray/data/datasource/file_datasink.py index 80fbe93cd30e..954d04ccaa02 100644 --- a/python/ray/data/datasource/file_datasink.py +++ b/python/ray/data/datasource/file_datasink.py @@ -3,6 +3,7 @@ from typing import TYPE_CHECKING, Any, Dict, Iterable, Optional from urllib.parse import urlparse +from ray._common.retry import call_with_retry from ray._private.arrow_utils import add_creatable_buckets_param_if_s3_uri from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder from ray.data._internal.execution.interfaces import TaskContext @@ -11,7 +12,6 @@ from ray.data._internal.util import ( RetryingPyFileSystem, _is_local_scheme, - call_with_retry, ) from ray.data.block import Block, BlockAccessor from ray.data.context import DataContext diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index c71e3e48b468..918b1ad637db 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -12,6 +12,13 @@ # The name of the file that is used to store the checkpoint manager snapshot. CHECKPOINT_MANAGER_SNAPSHOT_FILENAME = "checkpoint_manager_snapshot.json" +AWS_RETRYABLE_TOKENS = ( + "AWS Error SLOW_DOWN", + "AWS Error INTERNAL_FAILURE", + "AWS Error SERVICE_UNAVAILABLE", + "AWS Error NETWORK_CONNECTION", + "AWS Error UNKNOWN", +) # ----------------------------------------------------------------------- # Environment variables used in the controller, workers, and state actor. diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index b5965d97219e..163093260565 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -8,10 +8,12 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional import ray +from ray._common.retry import retry from ray.actor import ActorHandle from ray.data import DataIterator, Dataset from ray.train._internal import session from ray.train._internal.session import _TrainingResult +from ray.train.v2._internal.constants import AWS_RETRYABLE_TOKENS from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor from ray.train.v2._internal.execution.storage import StorageContext, delete_fs_path from ray.train.v2._internal.util import ( @@ -215,6 +217,8 @@ def _sync_checkpoint_dir_name_across_ranks( ) ) + # TODO: make retry configurable + @retry(description="upload checkpoint", max_attempts=3, match=AWS_RETRYABLE_TOKENS) def _upload_checkpoint( self, checkpoint_dir_name: str, @@ -334,10 +338,10 @@ def report( # Upload checkpoint, wait for turn, and report. if checkpoint_upload_mode == CheckpointUploadMode.SYNC: training_result = self._upload_checkpoint( - checkpoint_dir_name, - metrics, - checkpoint, - delete_local_checkpoint_after_upload, + checkpoint_dir_name=checkpoint_dir_name, + metrics=metrics, + checkpoint=checkpoint, + delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, ) self._wait_then_report(training_result, report_call_index) @@ -357,15 +361,18 @@ def _upload_checkpoint_and_report( ) -> None: try: training_result = self._upload_checkpoint( - checkpoint_dir_name, - metrics, - checkpoint, - delete_local_checkpoint_after_upload, + checkpoint_dir_name=checkpoint_dir_name, + metrics=metrics, + checkpoint=checkpoint, + delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, ) self._wait_then_report(training_result, report_call_index) except Exception as e: + # TODO: env var to disable eager raising logger.exception( - "Async checkpoint upload failed - shutting down workers" + "Checkpoint upload failed in the background thread. Raising eagerly " + "to avoid training in a corrupted state with more potential progress " + "lost due to checkpointing failures." ) self.execution_context.training_thread_runner.get_exception_queue().put( construct_user_exception_with_traceback(e) From 55c806bad7a4819470f2917f90554ffd6d51f5b9 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Tue, 23 Sep 2025 14:09:39 -0700 Subject: [PATCH 1357/1566] [tune][release] Move tune_with_frequent_pausing to Ray Train v2 and tune_tests folder (#56799) Migrate `tune_with_frequent_pausing` to Ray Train v2 and tune_tests folder. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 60 +++++++++---------- .../frequent_pausing/compute_config_aws.yaml | 0 .../frequent_pausing/compute_config_gce.yaml | 0 .../frequent_pausing/script.py | 8 +-- 4 files changed, 34 insertions(+), 34 deletions(-) rename release/{air_tests => tune_tests}/frequent_pausing/compute_config_aws.yaml (100%) rename release/{air_tests => tune_tests}/frequent_pausing/compute_config_gce.yaml (100%) rename release/{air_tests => tune_tests}/frequent_pausing/script.py (91%) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 5e1695f910ec..79e570f07198 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -135,36 +135,6 @@ ######################### # AIR release tests ######################### -- name: tune_with_frequent_pausing - group: AIR tests - working_dir: air_tests - - frequency: nightly-3x - team: ml - - cluster: - byod: - runtime_env: - - RAY_memory_usage_threshold=0.5 - - automatic_object_spilling_enabled=0 - cluster_compute: frequent_pausing/compute_config_aws.yaml - - run: - timeout: 600 # 10min - long_running: true - script: python frequent_pausing/script.py - - variations: - - __suffix__: aws - - __suffix__: gce - env: gce - frequency: manual - cluster: - cluster_compute: frequent_pausing/compute_config_gce.yaml - - alert: default - - # Ray Train distributed Torch benchmarks - name: air_benchmark_torch_mnist_gpu_4x4 @@ -385,6 +355,36 @@ ####################### # Tune tests ####################### +- name: tune_with_frequent_pausing + group: Tune tests + working_dir: tune_tests + + frequency: nightly-3x + team: ml + + cluster: + byod: + runtime_env: + - RAY_memory_usage_threshold=0.5 + - automatic_object_spilling_enabled=0 + cluster_compute: frequent_pausing/compute_config_aws.yaml + + run: + timeout: 600 # 10min + long_running: true + script: RAY_TRAIN_V2_ENABLED=1 python frequent_pausing/script.py + + variations: + - __suffix__: aws + - __suffix__: gce + env: gce + frequency: manual + cluster: + cluster_compute: frequent_pausing/compute_config_gce.yaml + + alert: default + + - name: tune_rllib_connect_test group: Tune tests working_dir: ml_user_tests diff --git a/release/air_tests/frequent_pausing/compute_config_aws.yaml b/release/tune_tests/frequent_pausing/compute_config_aws.yaml similarity index 100% rename from release/air_tests/frequent_pausing/compute_config_aws.yaml rename to release/tune_tests/frequent_pausing/compute_config_aws.yaml diff --git a/release/air_tests/frequent_pausing/compute_config_gce.yaml b/release/tune_tests/frequent_pausing/compute_config_gce.yaml similarity index 100% rename from release/air_tests/frequent_pausing/compute_config_gce.yaml rename to release/tune_tests/frequent_pausing/compute_config_gce.yaml diff --git a/release/air_tests/frequent_pausing/script.py b/release/tune_tests/frequent_pausing/script.py similarity index 91% rename from release/air_tests/frequent_pausing/script.py rename to release/tune_tests/frequent_pausing/script.py index 83c0dd6a820e..9bef379c8604 100644 --- a/release/air_tests/frequent_pausing/script.py +++ b/release/tune_tests/frequent_pausing/script.py @@ -19,8 +19,8 @@ import pickle import tempfile -from ray import train -from ray.train import Checkpoint, RunConfig +from ray import tune +from ray.tune import Checkpoint, RunConfig from ray.tune.schedulers.trial_scheduler import FIFOScheduler, TrialScheduler from ray.tune.tune_config import TuneConfig from ray.tune.tuner import Tuner @@ -28,7 +28,7 @@ def func(config): starting_epoch = 0 - checkpoint = train.get_checkpoint() + checkpoint = tune.get_checkpoint() if checkpoint: with checkpoint.as_directory() as checkpoint_dir: with open(os.path.join(checkpoint_dir, "ckpt.pkl"), "rb") as f: @@ -41,7 +41,7 @@ def func(config): with tempfile.TemporaryDirectory() as tmpdir: with open(os.path.join(tmpdir, "ckpt.pkl"), "wb") as f: pickle.dump(checkpoint_dict, f) - train.report({}, checkpoint=Checkpoint.from_directory(tmpdir)) + tune.report({}, checkpoint=Checkpoint.from_directory(tmpdir)) class FrequentPausesScheduler(FIFOScheduler): From 2dfef262127eccd908805c5c4aa26e11acdeecd6 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 23 Sep 2025 14:18:52 -0700 Subject: [PATCH 1358/1566] [core][event] export node event by default (#56810) This PR makes it so that Ray will export node event by default. Test: - CI Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- python/ray/dashboard/modules/aggregator/aggregator_agent.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index c5dbde841470..f536a3accb6f 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -82,7 +82,8 @@ "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT," "ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT," "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT," - "ACTOR_DEFINITION_EVENT,ACTOR_LIFECYCLE_EVENT" + "ACTOR_DEFINITION_EVENT,ACTOR_LIFECYCLE_EVENT," + "NODE_DEFINITION_EVENT,NODE_LIFECYCLE_EVENT," ) EXPOSABLE_EVENT_TYPES = os.environ.get( f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES From 324d8239b0b082dfd1b3814ab85845789cbf4113 Mon Sep 17 00:00:00 2001 From: Matti Picus Date: Wed, 24 Sep 2025 00:25:26 +0300 Subject: [PATCH 1359/1566] add /utf-8 for spdlog's fmt library on windows (#56777) PR #56711 updated spdlog which broke building on windows, see gabime/spdlog#3251. The solution is to add /utf-8 to the c++ options. I tried adding this only for the splog build, but it is needed as well for ray logging. I also thought the flag would work on msvc-cl only, but that seems to be some kind of clang paltform specifier. This change was tested locally with a MSVC build. Fixes windows wheel building Signed-off-by: Matti Picus Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .bazelrc | 1 + 1 file changed, 1 insertion(+) diff --git a/.bazelrc b/.bazelrc index c71651133b52..42a9e9b72217 100644 --- a/.bazelrc +++ b/.bazelrc @@ -27,6 +27,7 @@ build:macos --cxxopt="-std=c++17" build:clang-cl --cxxopt="-std=c++17" build:msvc-cl --cxxopt="/std:c++17" build:windows --cxxopt="/std:c++17" +build:windows --cxxopt="/utf-8" # This workaround is needed to prevent Bazel from compiling the same file twice (once PIC and once not). build:linux --copt="-fPIC" build:macos --copt="-fPIC" From c85510689bc8263bd2dde750b284620a65691885 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Tue, 23 Sep 2025 14:29:50 -0700 Subject: [PATCH 1360/1566] Aggregate autoscaling metrics on controller (#56306) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Controller Metrics Aggregation + Code Refactoring ### What Changed - **New Feature**: Added `RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER` flag to enable metrics aggregation at controller level using timeseries merging - **Code Cleanup**: Refactored `get_total_num_requests()` as it was starting to get complicated - **Enhanced Testing**: Added multi-environment test variants to cover different metrics collection modes **Fully backward compatible** - existing behavior unchanged when flag is disabled. ### Changed the merge algorithm i think the problem is the current algorithm that uses latest in bucket during merge is not robust and is lossy. Which make it highly susceptible to the choice of bucket width. I am going to rewrite that algorithm as follows to see if it helps Interpret each replica’s gauge as **right-continuous, last-observation-carried-forward (LOCF)**. Then: 1. **Turn each replica into “delta events.”** For a sorted series $(t_0,v_0),(t_1,v_1),…$ emit: * at $t_0$: $+\;v_0$ * at $t_j$: $+\;(v_j - v_{j-1})$ for $j\ge1$ 2. **K-way merge all events by time.** Maintain `current_sum`. At each event time $t$, apply the sum of all deltas at $t$, update `current_sum`, and **record a point** $(t, current_sum)$. The result is an **event-driven, piecewise-constant series** $S(t)$: between event timestamps it holds constant and represents the instantaneous total across replicas. 3. **Resample to a regular grid** To get the instantaneous value at grid time $g_k$, take the last event at or before $g_k$ (LOCF on the merged step series). ## Next PR https://github.com/ray-project/ray/pull/56311 --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- bazel/python.bzl | 19 + .../ray/serve/_private/autoscaling_state.py | 306 ++++++++- python/ray/serve/_private/constants.py | 5 + python/ray/serve/_private/metrics_utils.py | 181 ++++-- python/ray/serve/tests/BUILD.bazel | 47 +- .../serve/tests/test_autoscaling_policy.py | 7 +- python/ray/serve/tests/unit/BUILD.bazel | 35 +- .../serve/tests/unit/test_deployment_state.py | 32 +- .../serve/tests/unit/test_metrics_utils.py | 605 +++++++++--------- 9 files changed, 834 insertions(+), 403 deletions(-) diff --git a/bazel/python.bzl b/bazel/python.bzl index 3c15ae6f527d..f62f93ae5d33 100644 --- a/bazel/python.bzl +++ b/bazel/python.bzl @@ -114,3 +114,22 @@ def py_test_run_all_notebooks(include, exclude, allow_empty=False, **kwargs): args = ["--find-recursively", "--path", file], **kwargs ) + +def py_test_module_list_with_env_variants(files, env_variants, size="medium", **kwargs): + """Create multiple py_test_module_list targets with different environment variable configurations. + + Args: + files: List of test files to run + env_variants: Dict where keys are variant names and values are dicts containing + 'env' and 'name_suffix' keys + size: Test size + **kwargs: Additional arguments passed to py_test_module_list + """ + for variant_name, variant_config in env_variants.items(): + py_test_module_list( + size = size, + files = files, + env = variant_config.get("env", {}), + name_suffix = variant_config.get("name_suffix", "_{}".format(variant_name)), + **kwargs + ) diff --git a/python/ray/serve/_private/autoscaling_state.py b/python/ray/serve/_private/autoscaling_state.py index 64c4d3784277..d96edbe3092f 100644 --- a/python/ray/serve/_private/autoscaling_state.py +++ b/python/ray/serve/_private/autoscaling_state.py @@ -13,10 +13,15 @@ TargetCapacityDirection, ) from ray.serve._private.constants import ( + RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER, RAY_SERVE_MIN_HANDLE_METRICS_TIMEOUT_S, SERVE_LOGGER_NAME, ) from ray.serve._private.deployment_info import DeploymentInfo +from ray.serve._private.metrics_utils import ( + merge_timeseries_dicts, + time_weighted_average, +) from ray.serve._private.utils import get_capacity_adjusted_num_replicas logger = logging.getLogger(SERVE_LOGGER_NAME) @@ -162,7 +167,6 @@ def record_request_metrics_for_replica( self, replica_metric_report: ReplicaMetricReport ) -> None: """Records average number of ongoing requests at a replica.""" - replica_id = replica_metric_report.replica_id send_timestamp = replica_metric_report.timestamp @@ -268,18 +272,281 @@ def get_decision_num_replicas( return self.apply_bounds(decision_num_replicas) - def get_total_num_requests(self) -> float: - """Get average total number of requests aggregated over the past - `look_back_period_s` number of seconds. + def _collect_replica_running_requests(self) -> List[Dict[str, List]]: + """Collect running requests metrics from replicas for aggregation.""" + metrics_timeseries_dicts = [] - If there are 0 running replicas, then returns the total number - of requests queued at handles + for replica_id in self._running_replicas: + replica_metric_report = self._replica_metrics.get(replica_id, None) + if ( + replica_metric_report is not None + and RUNNING_REQUESTS_KEY in replica_metric_report.metrics + ): + metrics_timeseries_dicts.append( + { + RUNNING_REQUESTS_KEY: replica_metric_report.metrics[ + RUNNING_REQUESTS_KEY + ] + } + ) - This code assumes that the metrics are either emmited on handles - or on replicas, but not both. Its the responsibility of the writer - to ensure enclusivity of the metrics. + return metrics_timeseries_dicts + + def _collect_handle_queued_requests(self) -> float: + """Collect total queued requests from all handles.""" + total_queued_requests = 0 + for handle_metric_report in self._handle_requests.values(): + total_queued_requests += handle_metric_report.queued_requests + return total_queued_requests + + def _collect_handle_running_requests(self) -> List[Dict[str, List]]: + """Collect running requests metrics from handles when not collected on replicas. + + Returns: + A list of dictionaries, each containing a key-value pair: + - The key is the name of the metric (RUNNING_REQUESTS_KEY) + - The value is a list of TimeStampedValue objects, each representing a single measurement of the metric + this list is sorted by timestamp ascending + - The TimeStampedValue object contains a timestamp and a value + - The timestamp is the time at which the measurement was taken + - The value is the measurement of the metric + + Example: + If there are 2 handles, each managing 2 replicas, and the running requests metrics are: + - Handle 1: Replica 1: 5, Replica 2: 7 + - Handle 2: Replica 1: 3, Replica 2: 1 + and the timestamp is 0.1 and 0.2 respectively + Then the returned list will be: + [ + { + "running_requests": [ + TimeStampedValue(timestamp=0.1, value=5.0), + ] + }, + { + "running_requests": [ + TimeStampedValue(timestamp=0.2, value=7.0), + ] + }, + { + "running_requests": [ + TimeStampedValue(timestamp=0.1, value=3.0), + ] + }, + { + "running_requests": [ + TimeStampedValue(timestamp=0.2, value=1.0), + ] + } + ] """ + metrics_timeseries_dicts = [] + + for handle_metric in self._handle_requests.values(): + for replica_id in self._running_replicas: + if ( + RUNNING_REQUESTS_KEY not in handle_metric.metrics + or replica_id not in handle_metric.metrics[RUNNING_REQUESTS_KEY] + ): + continue + metrics_timeseries_dicts.append( + { + RUNNING_REQUESTS_KEY: handle_metric.metrics[ + RUNNING_REQUESTS_KEY + ][replica_id] + } + ) + + return metrics_timeseries_dicts + + def _aggregate_running_requests( + self, metrics_timeseries_dicts: List[Dict[str, List]] + ) -> float: + """Aggregate and average running requests from timeseries data using instantaneous merge. + + Args: + metrics_timeseries_dicts: A list of dictionaries, each containing a key-value pair: + - The key is the name of the metric (RUNNING_REQUESTS_KEY) + - The value is a list of TimeStampedValue objects, each representing a single measurement of the metric + this list is sorted by timestamp ascending + + Returns: + The time-weighted average of the running requests + + Example: + If the metrics_timeseries_dicts is: + [ + { + "running_requests": [ + TimeStampedValue(timestamp=0.1, value=5.0), + TimeStampedValue(timestamp=0.2, value=7.0), + ] + }, + { + "running_requests": [ + TimeStampedValue(timestamp=0.2, value=3.0), + TimeStampedValue(timestamp=0.3, value=1.0), + ] + } + ] + Then the returned value will be: + (5.0*0.1 + 7.0*0.2 + 3.0*0.2 + 1.0*0.3) / (0.1 + 0.2 + 0.2 + 0.3) = 4.5 / 0.8 = 5.625 + """ + + if not metrics_timeseries_dicts: + return 0.0 + + # Use instantaneous merge approach - no arbitrary windowing needed + aggregated_metrics = merge_timeseries_dicts(*metrics_timeseries_dicts) + running_requests_timeseries = aggregated_metrics.get(RUNNING_REQUESTS_KEY, []) + if running_requests_timeseries: + + # assume that the last recorded metric is valid for last_window_s seconds + last_metric_time = running_requests_timeseries[-1].timestamp + # we dont want to make any assumption about how long the last metric will be valid + # only conclude that the last metric is valid for last_window_s seconds that is the + # difference between the current time and the last metric recorded time + last_window_s = time.time() - last_metric_time + # adding a check to negative values caused by clock skew + # between replicas and controller. Also add a small epsilon to avoid division by zero + if last_window_s <= 0: + last_window_s = 1e-3 + # Calculate the time-weighted average of the running requests + avg_running = time_weighted_average( + running_requests_timeseries, last_window_s=last_window_s + ) + return avg_running if avg_running is not None else 0.0 + + return 0.0 + + def _calculate_total_requests_aggregate_mode(self) -> float: + """Calculate total requests using aggregate metrics mode with timeseries data. + + This method works with raw timeseries metrics data and performs aggregation + at the controller level, providing more accurate and stable metrics compared + to simple mode. + + Processing Steps: + 1. Collect raw timeseries data (eg: running request) from replicas (if available) + 2. Collect queued requests from handles (always tracked at handle level) + 3. Collect raw timeseries data (eg: running request) from handles (if not available from replicas) + 4. Merge timeseries using instantaneous approach for mathematically correct totals + 5. Calculate time-weighted average running requests from the merged timeseries + + Key Differences from Simple Mode: + - Uses raw timeseries data instead of pre-aggregated metrics + - Performs instantaneous merging for exact gauge semantics + - Aggregates at the controller level rather than using pre-computed averages + - Uses time-weighted averaging over the look_back_period_s interval for accurate calculations + + Metrics Collection: + Running requests are collected with either replica-level or handle-level metrics. + + Queued requests are always collected from handles regardless of where + running requests are collected. + + Timeseries Aggregation: + Raw timeseries data from multiple sources is merged using an instantaneous + approach that treats gauges as right-continuous step functions. This provides + mathematically correct totals without arbitrary windowing bias. + + Example with Numbers: + Assume metrics_interval_s = 0.5s, current time = 2.0s + Step 1: Collect raw timeseries from 2 replicas (r1, r2) + replica_metrics = [ + {"running_requests": [(t=0.2, val=5), (t=0.8, val=7), (t=1.5, val=6)]}, # r1 + {"running_requests": [(t=0.1, val=3), (t=0.9, val=4), (t=1.4, val=8)]} # r2 + ] + + Step 2: Collect queued requests from handles + handle_queued = 2 + 3 = 5 # total from all handles + + Step 3: No handle metrics needed (replica metrics available) + handle_metrics = [] + + Step 4: Merge timeseries using instantaneous approach + # Create delta events: r1 starts at 5 (t=0.2), changes to 7 (t=0.8), then 6 (t=1.5) + # r2 starts at 3 (t=0.1), changes to 4 (t=0.9), then 8 (t=1.4) + # Merged instantaneous total: [(t=0.1, val=3), (t=0.2, val=8), (t=0.8, val=10), (t=0.9, val=11), (t=1.4, val=15), (t=1.5, val=14)] + merged_timeseries = {"running_requests": [(0.1, 3), (0.2, 8), (0.8, 10), (0.9, 11), (1.4, 15), (1.5, 14)]} + + Step 5: Calculate time-weighted average over full timeseries (t=0.1 to t=1.5+0.5=2.0) + # Time-weighted calculation: (3*0.1 + 8*0.6 + 10*0.1 + 11*0.5 + 15*0.1 + 14*0.5) / 2.0 = 10.05 + avg_running = 10.05 + + Final result: total_requests = avg_running + queued = 10.05 + 5 = 15.05 + + Returns: + Total number of requests (average running + queued) calculated from + timeseries data aggregation. + """ + # Collect replica-based running requests + replica_metrics = self._collect_replica_running_requests() + metrics_collected_on_replicas = len(replica_metrics) > 0 + + # Collect queued requests from handles + total_requests = self._collect_handle_queued_requests() + + if not metrics_collected_on_replicas: + # Collect handle-based running requests if not collected on replicas + handle_metrics = self._collect_handle_running_requests() + else: + handle_metrics = [] + + # Combine all running requests metrics + all_running_metrics = replica_metrics + handle_metrics + + # Aggregate and add running requests to total + total_requests += self._aggregate_running_requests(all_running_metrics) + + return total_requests + + def _calculate_total_requests_simple_mode(self) -> float: + """Calculate total requests using simple aggregated metrics mode. + + This method works with pre-aggregated metrics that are computed by averaging + (or other functions) over the past look_back_period_s seconds. + + Metrics Collection: + Metrics can be collected at two levels: + 1. Replica level: Each replica reports one aggregated metric value + 2. Handle level: Each handle reports metrics for multiple replicas + + Replica-Level Metrics Example: + For 3 replicas (r1, r2, r3), metrics might look like: + { + "r1": 10, + "r2": 20, + "r3": 30 + } + Total requests = 10 + 20 + 30 = 60 + + Handle-Level Metrics Example: + For 3 handles (h1, h2, h3), each managing 2 replicas: + - h1 manages r1, r2 + - h2 manages r2, r3 + - h3 manages r3, r1 + + Metrics structure: + { + "h1": {"r1": 10, "r2": 20}, + "h2": {"r2": 20, "r3": 30}, + "h3": {"r3": 30, "r1": 10} + } + + Total requests = 10 + 20 + 20 + 30 + 30 + 10 = 120 + + Note: We can safely sum all handle metrics because each unique request + is counted only once across all handles (no double-counting). + + Queued Requests: + Queued request metrics are always tracked at the handle level, regardless + of whether running request metrics are collected at replicas or handles. + + Returns: + Total number of requests (running + queued) across all replicas/handles. + """ total_requests = 0 for id in self._running_replicas: @@ -289,13 +556,16 @@ def get_total_num_requests(self) -> float: ) metrics_collected_on_replicas = total_requests > 0 + + # Add handle metrics for handle_metric in self._handle_requests.values(): total_requests += handle_metric.queued_requests + # Add running requests from handles if not collected on replicas if not metrics_collected_on_replicas: for replica_id in self._running_replicas: if replica_id in handle_metric.aggregated_metrics.get( - RUNNING_REQUESTS_KEY + RUNNING_REQUESTS_KEY, {} ): total_requests += handle_metric.aggregated_metrics.get( RUNNING_REQUESTS_KEY @@ -303,6 +573,22 @@ def get_total_num_requests(self) -> float: return total_requests + def get_total_num_requests(self) -> float: + """Get average total number of requests aggregated over the past + `look_back_period_s` number of seconds. + + If there are 0 running replicas, then returns the total number + of requests queued at handles + + This code assumes that the metrics are either emmited on handles + or on replicas, but not both. Its the responsibility of the writer + to ensure enclusivity of the metrics. + """ + if RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER: + return self._calculate_total_requests_aggregate_mode() + else: + return self._calculate_total_requests_simple_mode() + def get_replica_metrics(self, agg_func: str) -> Dict[ReplicaID, List[Any]]: """Get the raw replica metrics dict.""" # arcyleung TODO: pass agg_func from autoscaling policy https://github.com/ray-project/ray/pull/51905 diff --git a/python/ray/serve/_private/constants.py b/python/ray/serve/_private/constants.py index 2ac1a673c56c..e4b17f10d14c 100644 --- a/python/ray/serve/_private/constants.py +++ b/python/ray/serve/_private/constants.py @@ -506,3 +506,8 @@ # This is used to detect and warn about long RPC latencies # between the controller and the replicas. RAY_SERVE_RPC_LATENCY_WARNING_THRESHOLD_MS = 2000 + +# Feature flag to aggregate metrics at the controller instead of the replicas or handles. +RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER = get_env_bool( + "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER", "0" +) diff --git a/python/ray/serve/_private/metrics_utils.py b/python/ray/serve/_private/metrics_utils.py index 48b481d88af7..e72308aabdba 100644 --- a/python/ray/serve/_private/metrics_utils.py +++ b/python/ray/serve/_private/metrics_utils.py @@ -1,5 +1,6 @@ import asyncio import bisect +import heapq import logging import statistics from collections import defaultdict @@ -321,71 +322,153 @@ def aggregate_avg( return self._aggregate_reduce(keys, statistics.mean) -def _bucket_latest_by_window( - series: List[TimeStampedValue], - start: float, - window_s: float, -) -> Dict[int, float]: +def time_weighted_average( + step_series: List[TimeStampedValue], + window_start: Optional[float] = None, + window_end: Optional[float] = None, + last_window_s: float = 1.0, +) -> Optional[float]: """ - Map each window index -> latest value seen in that window. - Assumes series is sorted by timestamp ascending. + Compute time-weighted average of a step function over a time interval. + + Args: + step_series: Step function as list of (timestamp, value) points, sorted by time. + Values are right-continuous (constant until next change). + window_start: Start of averaging window (inclusive). If None, uses the start of the series. + window_end: End of averaging window (exclusive). If None, uses the end of the series. + last_window_s: when window_end is None, uses the last_window_s to compute the end of the window. + Returns: + Time-weighted average over the interval, or None if no data overlaps. """ - buckets: Dict[int, float] = {} - for p in series: - w = int((p.timestamp - start) // window_s) - buckets[w] = p.value # overwrite keeps the latest within the window - return buckets - - -def _merge_two_timeseries( - t1: List[TimeStampedValue], t2: List[TimeStampedValue], window_s: float + if not step_series: + return None + + # Handle None values by using full timeseries bounds + if window_start is None: + window_start = step_series[0].timestamp + if window_end is None: + # Use timestamp after the last point to include the final segment + window_end = step_series[-1].timestamp + last_window_s + + if window_end <= window_start: + return None + + total_weighted_value = 0.0 + total_duration = 0.0 + current_value = 0.0 # Default if no data before window_start + current_time = window_start + + # Process each segment that overlaps with the window + for point in step_series: + if point.timestamp <= window_start: + # Find the value at window_start (LOCF) + current_value = point.value + continue + if point.timestamp >= window_end: + break # Beyond our window + + # Add contribution of current segment + segment_end = min(point.timestamp, window_end) + duration = segment_end - current_time + if duration > 0: + total_weighted_value += current_value * duration + total_duration += duration + + current_value = point.value + current_time = segment_end + + # Add final segment if it extends to window_end + if current_time < window_end: + duration = window_end - current_time + total_weighted_value += current_value * duration + total_duration += duration + + return total_weighted_value / total_duration if total_duration > 0 else None + + +def merge_instantaneous_total( + replicas_timeseries: List[List[TimeStampedValue]], ) -> List[TimeStampedValue]: """ - Merge two ascending time series by summing values within a specified time window. - If multiple values fall within the same window in a series, the latest value is used. - The output contains one point per window that had at least one value, timestamped - at the window center. - """ - if window_s <= 0: - raise ValueError(f"window_s must be positive, got {window_s}") + Merge multiple gauge time series (right-continuous, LOCF) into an + instantaneous total time series as a step function. - if not t1 and not t2: - return [] + This approach treats each replica's gauge as right-continuous, last-observation- + carried-forward (LOCF), which matches gauge semantics. It produces an exact + instantaneous total across replicas without bias from arbitrary windowing. - # Align windows so each output timestamp sits at the start of its window. - # start is snapped to window_s boundary for binning stability - earliest = min(x[0].timestamp for x in (t1, t2) if x) - start = earliest // window_s * window_s + Uses a k-way merge algorithm for O(n log k) complexity where k is the number + of timeseries and n is the total number of events. - b1 = _bucket_latest_by_window(t1, start, window_s) - b2 = _bucket_latest_by_window(t2, start, window_s) + Args: + replicas_timeseries: List of time series, one per replica. Each time series + is a list of TimeStampedValue objects sorted by timestamp. - windows = sorted(set(b1.keys()) | set(b2.keys())) + Returns: + A list of TimeStampedValue representing the instantaneous total at event times. + Between events, the total remains constant (step function). + """ + # Filter out empty timeseries + active_series = [series for series in replicas_timeseries if series] + if not active_series: + return [] + + # True k-way merge: heap maintains exactly k elements (one per series) + # Each element is (timestamp, replica_id, iterator) + merge_heap = [] + current_values = [0.0] * len(active_series) # Current value for each replica (LOCF) + + # Initialize heap with first element from each series + for replica_idx, series in enumerate(active_series): + if series: # Non-empty series + iterator = iter(series) + try: + first_point = next(iterator) + heapq.heappush( + merge_heap, + (first_point.timestamp, replica_idx, first_point.value, iterator), + ) + except StopIteration: + pass merged: List[TimeStampedValue] = [] - for w in windows: - v = b1.get(w, 0.0) + b2.get(w, 0.0) - ts_start = start + w * window_s - merged.append(TimeStampedValue(timestamp=ts_start, value=v)) + running_total = 0.0 + + while merge_heap: + # Pop the earliest event (heap size stays ≤ k) + timestamp, replica_idx, value, iterator = heapq.heappop(merge_heap) + + old_value = current_values[replica_idx] + current_values[replica_idx] = value + running_total += value - old_value + + # Try to get the next point from this replica's series and push it back + try: + next_point: TimeStampedValue = next(iterator) + heapq.heappush( + merge_heap, + (next_point.timestamp, replica_idx, next_point.value, iterator), + ) + except StopIteration: + pass # This series is exhausted + + # Only add a point if the total actually changed + if value != old_value: # Equivalent to new_total != old_total + merged.append(TimeStampedValue(timestamp, running_total)) + return merged def merge_timeseries_dicts( *timeseries_dicts: DefaultDict[Hashable, List[TimeStampedValue]], - window_s: float, ) -> DefaultDict[Hashable, List[TimeStampedValue]]: """ - Merge multiple time-series dictionaries, typically contained within - InMemoryMetricsStore().data. For the same key across stores, time series - are merged with a windowed sum, where each series keeps only its latest - value per window before summing. + Merge multiple time-series dictionaries using instantaneous merge approach. """ merged: DefaultDict[Hashable, List[TimeStampedValue]] = defaultdict(list) - for timeseries_dict in timeseries_dicts: - for key, ts in timeseries_dict.items(): - if key in merged: - merged[key] = _merge_two_timeseries(merged[key], ts, window_s) - else: - # Window the data, even if the key is unique. - merged[key] = _merge_two_timeseries(ts, [], window_s) - return merged + + for ts_dict in timeseries_dicts: + for key, ts in ts_dict.items(): + merged[key].append(ts) + + return {key: merge_instantaneous_total(ts_list) for key, ts_list in merged.items()} diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index a0fc0acf9fd8..d8aceb2d7647 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -1,5 +1,5 @@ load("@rules_python//python:defs.bzl", "py_library", "py_test") -load("//bazel:python.bzl", "py_test_module_list") +load("//bazel:python.bzl", "py_test_module_list", "py_test_module_list_with_env_variants") py_library( name = "conftest", @@ -317,17 +317,44 @@ py_test( # ----- TEST FEATURE FLAGS ----- -# Test autoscaling with metrics collected from replica instead of handle. -py_test( - name = "test_autoscaling_policy_with_metr_disab", +# Test autoscaling with different metric collection configurations +py_test_module_list_with_env_variants( size = "large", - srcs = ["test_autoscaling_policy.py"], - env = { - "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", - # Make sure queued metrics are cleared out quickly. - "RAY_SERVE_HANDLE_METRIC_PUSH_INTERVAL_S": "0.1", + env_variants = { + "with_metr_disab": { + "env": { + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + # Make sure queued metrics are cleared out quickly. + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", + }, + "name_suffix": "_with_metr_disab", + }, + "with_metr_agg_at_controller": { + "env": { + "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", + # Make sure queued metrics are cleared out quickly. + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", + }, + "name_suffix": "_with_metr_agg_at_controller", + }, + "with_metr_agg_at_controller_and_metr_on_replicas": { + "env": { + "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + # Make sure queued metrics are cleared out quickly. + "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", + }, + "name_suffix": "_with_metr_agg_at_controller_and_metr_on_replicas", + }, }, - main = "test_autoscaling_policy.py", + files = [ + "test_autoscaling_policy.py", + "test_cluster.py", + "test_deploy.py", + "test_deployment_scheduler.py", + "test_standalone_3.py", + "test_target_capacity.py", + ], tags = [ "autoscaling", "exclusive", diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index 707cc5179b14..c21cf3c6df57 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -1551,6 +1551,7 @@ def test_e2e_scale_up_down_basic_with_custom_policy(serve_instance_with_signal, "upscale_delay_s": 0, "policy": policy, "metrics_interval_s": 0.1, + "look_back_period_s": 1, }, # We will send over a lot of queries. This will make sure replicas are # killed quickly during cleanup. @@ -1572,11 +1573,13 @@ async def __call__(self): wait_for_condition(check_num_replicas_eq, name="A", target=2) print("Scaled up to 2 replicas.") - ray.get(signal.send.remote(clear=True)) + ray.get(signal.send.remote()) wait_for_condition(lambda: ray.get(signal.cur_num_waiters.remote()) == 0) + ray.get(signal.send.remote(clear=True)) [handle.remote() for _ in range(70)] wait_for_condition(check_num_replicas_eq, name="A", target=3) - ray.get(signal.send.remote(clear=True)) + ray.get(signal.send.remote()) + wait_for_condition(lambda: ray.get(signal.cur_num_waiters.remote()) == 0) if __name__ == "__main__": diff --git a/python/ray/serve/tests/unit/BUILD.bazel b/python/ray/serve/tests/unit/BUILD.bazel index 7e3510045199..db2a131b9ff0 100644 --- a/python/ray/serve/tests/unit/BUILD.bazel +++ b/python/ray/serve/tests/unit/BUILD.bazel @@ -1,5 +1,5 @@ load("@rules_python//python:defs.bzl", "py_library") -load("//bazel:python.bzl", "py_test_module_list", "py_test_run_all_subdirectory") +load("//bazel:python.bzl", "py_test_module_list", "py_test_module_list_with_env_variants", "py_test_run_all_subdirectory") py_library( name = "conftest", @@ -41,18 +41,39 @@ py_test_module_list( ], ) -py_test_module_list( - size = "medium", - env = { - "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", - "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", +py_test_module_list_with_env_variants( + env_variants = { + "with_metr_disab": { + "env": { + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, + "name_suffix": "_with_metr_disab", + }, + "with_metr_agg_at_controller": { + "env": { + "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "1", + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, + "name_suffix": "_with_metr_agg_at_controller", + }, + "with_metr_agg_at_controller_and_metr_on_replicas": { + "env": { + "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", + "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", + "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", + }, + "name_suffix": "_with_metr_agg_at_controller_and_metr_on_replicas", + }, }, files = [ "test_autoscaling_policy.py", + "test_controller.py", + "test_deployment_scheduler.py", "test_deployment_state.py", "test_router.py", ], - name_suffix = "_with_metr_disab", tags = [ "no_windows", "team:serve", diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index db96ab8cab88..ed5d76f1ef9e 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -2854,7 +2854,7 @@ def test_basic_autoscaling( metrics={ RUNNING_REQUESTS_KEY: { replica._actor.replica_id: [ - TimeStampedValue(timer.time(), req_per_replica) + TimeStampedValue(timer.time() - 0.1, req_per_replica) ] for replica in replicas } @@ -2869,7 +2869,7 @@ def test_basic_autoscaling( aggregated_metrics={RUNNING_REQUESTS_KEY: req_per_replica}, metrics={ RUNNING_REQUESTS_KEY: [ - TimeStampedValue(timer.time(), req_per_replica) + TimeStampedValue(timer.time() - 0.1, req_per_replica) ] }, timestamp=timer.time(), @@ -3040,7 +3040,9 @@ def test_downscaling_reclaiming_starting_replicas_first( }, metrics={ RUNNING_REQUESTS_KEY: { - replica._actor.replica_id: [TimeStampedValue(timer.time(), 2)] + replica._actor.replica_id: [ + TimeStampedValue(timer.time() - 0.1, 2) + ] for replica in replicas } }, @@ -3052,7 +3054,9 @@ def test_downscaling_reclaiming_starting_replicas_first( replica_metric_report = ReplicaMetricReport( replica_id=replica._actor.replica_id, aggregated_metrics={RUNNING_REQUESTS_KEY: 2}, - metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 2)]}, + metrics={ + RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time() - 0.1, 2)] + }, timestamp=timer.time(), ) asm.record_request_metrics_for_replica(replica_metric_report) @@ -3132,7 +3136,9 @@ def test_downscaling_reclaiming_starting_replicas_first( }, metrics={ RUNNING_REQUESTS_KEY: { - replica._actor.replica_id: [TimeStampedValue(timer.time(), 1)] + replica._actor.replica_id: [ + TimeStampedValue(timer.time() - 0.1, 1) + ] for replica in replicas } }, @@ -3144,7 +3150,9 @@ def test_downscaling_reclaiming_starting_replicas_first( replica_metric_report = ReplicaMetricReport( replica_id=replica._actor.replica_id, aggregated_metrics={RUNNING_REQUESTS_KEY: 1}, - metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 1)]}, + metrics={ + RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time() - 0.1, 1)] + }, timestamp=timer.time(), ) asm.record_request_metrics_for_replica(replica_metric_report) @@ -3237,7 +3245,9 @@ def test_update_autoscaling_config(self, mock_deployment_state_manager): }, metrics={ RUNNING_REQUESTS_KEY: { - replica._actor.replica_id: [TimeStampedValue(timer.time(), 1)] + replica._actor.replica_id: [ + TimeStampedValue(timer.time() - 0.1, 1) + ] for replica in replicas } }, @@ -3249,7 +3259,9 @@ def test_update_autoscaling_config(self, mock_deployment_state_manager): replica_metric_report = ReplicaMetricReport( replica_id=replica._actor.replica_id, aggregated_metrics={RUNNING_REQUESTS_KEY: 1}, - metrics={RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time(), 1)]}, + metrics={ + RUNNING_REQUESTS_KEY: [TimeStampedValue(timer.time() - 0.1, 1)] + }, timestamp=timer.time(), ) asm.record_request_metrics_for_replica(replica_metric_report) @@ -3541,7 +3553,7 @@ def test_handle_metrics_timeout(self, mock_deployment_state_manager): metrics={ RUNNING_REQUESTS_KEY: { ds._replicas.get()[0]._actor.replica_id: [ - TimeStampedValue(timer.time(), 2) + TimeStampedValue(timer.time() - 0.1, 2) ] } }, @@ -3648,7 +3660,7 @@ def test_handle_metrics_on_dead_serve_actor(self, mock_deployment_state_manager) metrics={ RUNNING_REQUESTS_KEY: { ds1._replicas.get()[0]._actor.replica_id: [ - TimeStampedValue(timer.time(), 2) + TimeStampedValue(timer.time() - 0.1, 2) ] } }, diff --git a/python/ray/serve/tests/unit/test_metrics_utils.py b/python/ray/serve/tests/unit/test_metrics_utils.py index dd5e68c25d81..d0caeced7691 100644 --- a/python/ray/serve/tests/unit/test_metrics_utils.py +++ b/python/ray/serve/tests/unit/test_metrics_utils.py @@ -1,18 +1,16 @@ import asyncio import sys -from collections import defaultdict import pytest from ray._common.test_utils import async_wait_for_condition from ray.serve._private.metrics_utils import ( - QUEUED_REQUESTS_KEY, InMemoryMetricsStore, MetricsPusher, TimeStampedValue, - _bucket_latest_by_window, - _merge_two_timeseries, + merge_instantaneous_total, merge_timeseries_dicts, + time_weighted_average, ) from ray.serve._private.test_utils import MockAsyncTimer @@ -221,363 +219,340 @@ def test_prune_keys_and_compact_data(self): assert len(s.data["m2"]) == 2 and s.data["m2"] == s._get_datapoints("m2", 1.1) assert len(s.data["m3"]) == 1 and s.data["m3"] == s._get_datapoints("m3", 1.1) - def test_merge_metrics_stores(self): - s1 = InMemoryMetricsStore() - s2 = InMemoryMetricsStore() - s3 = InMemoryMetricsStore() - s1.add_metrics_point( - {"m1": 1, "m2": 2, "m3": 3, QUEUED_REQUESTS_KEY: 1}, timestamp=1 - ) - s2.add_metrics_point({"m1": 2, "m2": 2, QUEUED_REQUESTS_KEY: 1}, timestamp=2) - s3.add_metrics_point({"m2": 10, QUEUED_REQUESTS_KEY: 10}, timestamp=2) - merged = merge_timeseries_dicts(s1.data, s2.data, s3.data, window_s=1) - assert_timeseries_equal( - merged["m1"], [TimeStampedValue(1, 1), TimeStampedValue(2, 2)] - ) - assert_timeseries_equal( - merged["m2"], [TimeStampedValue(1, 2), TimeStampedValue(2, 12)] - ) - assert_timeseries_equal(merged["m3"], [TimeStampedValue(1, 3)]) - assert_timeseries_equal( - merged[QUEUED_REQUESTS_KEY], - [TimeStampedValue(1, 1), TimeStampedValue(2, 11)], - ) +class TestInstantaneousMerge: + """Test the new instantaneous merge functionality.""" - s4 = InMemoryMetricsStore() - s4.add_metrics_point( - {"m1": 100, "m2": 100, "m3": 100, QUEUED_REQUESTS_KEY: 10}, timestamp=0 - ) + def test_merge_instantaneous_total_empty(self): + """Test merge_instantaneous_total with empty input.""" + result = merge_instantaneous_total([]) + assert result == [] - merged = merge_timeseries_dicts(s1.data, s2.data, s3.data, s4.data, window_s=2) + result = merge_instantaneous_total([[], []]) + assert result == [] - # With window_s=2 and window start alignment: - # Window boundaries: [0,2), [2,4), etc. - # timestamp=0 (s4) and timestamp=1 (s1) -> window 0 - # timestamp=2 (s2, s3) -> window 1 - assert_timeseries_equal( - merged["m1"], - [TimeStampedValue(0, 101), TimeStampedValue(2, 2)], # 100+1=101, then 2 - ) - assert_timeseries_equal( - merged["m2"], - [ - TimeStampedValue(0, 102), - TimeStampedValue(2, 12), - ], # 100+2=102, then 2+10=12 - ) - assert_timeseries_equal( - merged["m3"], [TimeStampedValue(0, 103)] # 100+3=103, no data in window 1 - ) - assert_timeseries_equal( - merged[QUEUED_REQUESTS_KEY], - [TimeStampedValue(0, 11), TimeStampedValue(2, 11)], # 10+1=11, then 1+10=11 - ) + def test_merge_instantaneous_total_single_replica(self): + """Test merge_instantaneous_total with single replica.""" + series = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 7.0), + TimeStampedValue(3.0, 3.0), + ] + result = merge_instantaneous_total([series]) - s1_s2 = merge_timeseries_dicts(s1.data, s2.data, window_s=1) - s2_s1 = merge_timeseries_dicts(s2.data, s1.data, window_s=1) - s1_s2_s3_s4 = merge_timeseries_dicts( - s1.data, s2.data, s3.data, s4.data, window_s=1 - ) - s4_s1_s3_s2 = merge_timeseries_dicts( - s4.data, s1.data, s3.data, s2.data, window_s=1 - ) + expected = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 7.0), + TimeStampedValue(3.0, 3.0), + ] + assert_timeseries_equal(result, expected) - # dict equality -> compare per-key time series - for k in s1_s2: - assert_timeseries_equal(s1_s2[k], s2_s1[k]) - for k in s1_s2_s3_s4: - assert_timeseries_equal(s1_s2_s3_s4[k], s4_s1_s3_s2[k]) + def test_merge_instantaneous_total_two_replicas(self): + """Test merge_instantaneous_total with two replicas.""" + series1 = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(3.0, 7.0), + ] + series2 = [ + TimeStampedValue(2.0, 3.0), + TimeStampedValue(4.0, 1.0), + ] + result = merge_instantaneous_total([series1, series2]) - a1_none = merge_timeseries_dicts(s1.data, defaultdict(list), window_s=1) - for k in a1_none: - assert_timeseries_equal(a1_none[k], s1.data[k]) + # Expected: t=1.0: +5 (total=5), t=2.0: +3 (total=8), t=3.0: +2 (total=10), t=4.0: -2 (total=8) + expected = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 8.0), + TimeStampedValue(3.0, 10.0), + TimeStampedValue(4.0, 8.0), + ] + assert_timeseries_equal(result, expected) + + def test_merge_instantaneous_total_complex_scenario(self): + """Test complex scenario matching the autoscaling example.""" + # r1: starts at 5 (t=0.2), changes to 7 (t=0.8), then 6 (t=1.5) + series1 = [ + TimeStampedValue(0.2, 5.0), + TimeStampedValue(0.8, 7.0), + TimeStampedValue(1.5, 6.0), + ] + # r2: starts at 3 (t=0.1), changes to 4 (t=0.9), then 8 (t=1.2) + series2 = [ + TimeStampedValue(0.1, 3.0), + TimeStampedValue(0.9, 4.0), + TimeStampedValue(1.2, 8.0), + ] + result = merge_instantaneous_total([series1, series2]) - def test_bucket_latest_by_window_basic(self): - """Test basic functionality of _bucket_latest_by_window.""" + expected = [ + TimeStampedValue(0.1, 3.0), # r2 starts + TimeStampedValue(0.2, 8.0), # r1 starts: 3+5=8 + TimeStampedValue(0.8, 10.0), # r1 changes: 8+(7-5)=10 + TimeStampedValue(0.9, 11.0), # r2 changes: 10+(4-3)=11 + TimeStampedValue(1.2, 15.0), # r2 changes: 11+(8-4)=15 + TimeStampedValue(1.5, 14.0), # r1 changes: 15+(6-7)=14 + ] + assert_timeseries_equal(result, expected) + + def test_time_weighted_average_empty(self): + """Test time_weighted_average with empty series.""" + result = time_weighted_average([], 0.0, 1.0) + assert result is None + + def test_time_weighted_average_no_overlap(self): + """Test time_weighted_average with no data overlap.""" + series = [TimeStampedValue(2.0, 5.0)] + result = time_weighted_average(series, 0.0, 1.0) + assert result == 0.0 # Default value before first point + + def test_time_weighted_average_constant_value(self): + """Test time_weighted_average with constant value.""" + series = [TimeStampedValue(0.5, 10.0)] + result = time_weighted_average(series, 1.0, 2.0) + assert result == 10.0 + + def test_time_weighted_average_step_function(self): + """Test time_weighted_average with step function.""" series = [ + TimeStampedValue(0.0, 5.0), TimeStampedValue(1.0, 10.0), - TimeStampedValue(1.5, 15.0), # Same window as 1.0, should overwrite - TimeStampedValue(3.0, 30.0), + TimeStampedValue(2.0, 15.0), ] + # Average over [0.5, 1.5): 0.5s at value 5, 0.5s at value 10 + result = time_weighted_average(series, 0.5, 1.5) + expected = (5.0 * 0.5 + 10.0 * 0.5) / 1.0 + assert abs(result - expected) < 1e-10 - # With window_s=1.0, start=0.0 - buckets = _bucket_latest_by_window(series, start=0.0, window_s=1.0) - - # Window 1: timestamps 1.0-2.0, latest value should be 15.0 - # Window 3: timestamp 3.0-4.0, value should be 30.0 - expected = {1: 15.0, 3: 30.0} - assert buckets == expected - - def test_bucket_latest_by_window_empty(self): - """Test _bucket_latest_by_window with empty series.""" - buckets = _bucket_latest_by_window([], start=0.0, window_s=1.0) - assert buckets == {} - - def test_bucket_latest_by_window_single_value(self): - """Test _bucket_latest_by_window with single value.""" - series = [TimeStampedValue(2.5, 25.0)] - buckets = _bucket_latest_by_window(series, start=0.0, window_s=1.0) - assert buckets == {2: 25.0} - - def test_bucket_latest_by_window_negative_timestamps(self): - """Test _bucket_latest_by_window with negative timestamps.""" + def test_time_weighted_average_none_window_start(self): + """Test time_weighted_average with None window_start.""" series = [ - TimeStampedValue(-1.5, 10.0), - TimeStampedValue(-0.5, 20.0), - TimeStampedValue(0.5, 30.0), + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 10.0), + TimeStampedValue(3.0, 15.0), ] - buckets = _bucket_latest_by_window(series, start=-2.0, window_s=1.0) - # Window 0: -1.5 (index = (-1.5 - (-2.0)) // 1.0 = 0.5 // 1.0 = 0) - # Window 1: -0.5 (index = (-0.5 - (-2.0)) // 1.0 = 1.5 // 1.0 = 1) - # Window 2: 0.5 (index = (0.5 - (-2.0)) // 1.0 = 2.5 // 1.0 = 2) - expected = {0: 10.0, 1: 20.0, 2: 30.0} - assert buckets == expected - - def test_bucket_latest_by_window_very_small_window(self): - """Test _bucket_latest_by_window with very small windows.""" + # Should use full series from start (t=1.0) to window_end (t=2.5) + result = time_weighted_average(series, None, 2.5) + # 1.0s at value 5 (from 1.0 to 2.0), 0.5s at value 10 (from 2.0 to 2.5) + expected = (5.0 * 1.0 + 10.0 * 0.5) / 1.5 + assert abs(result - expected) < 1e-10 + + def test_time_weighted_average_none_window_end(self): + """Test time_weighted_average with None window_end.""" series = [ - TimeStampedValue(1.001, 10.0), - TimeStampedValue(1.002, 20.0), # Different window + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 10.0), + TimeStampedValue(3.0, 15.0), + ] + # Should use from window_start (t=1.5) to end of series (t=3.0+1.0=4.0) + result = time_weighted_average(series, 1.5, None) + # 0.5s at value 5 (from 1.5 to 2.0), 1.0s at value 10 (from 2.0 to 3.0), 1.0s at value 15 (from 3.0 to 4.0) + expected = (5.0 * 0.5 + 10.0 * 1.0 + 15.0 * 1.0) / 2.5 + assert abs(result - expected) < 1e-10 + + def test_time_weighted_average_both_none(self): + """Test time_weighted_average with both window_start and window_end None.""" + series = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 10.0), + TimeStampedValue(3.0, 15.0), + ] + # Should use full series from t=1.0 to t=3.0+1.0=4.0 + result = time_weighted_average(series, None, None) + # 1.0s at value 5, 1.0s at value 10, 1.0s at value 15 + expected = (5.0 * 1.0 + 10.0 * 1.0 + 15.0 * 1.0) / 3.0 + assert abs(result - expected) < 1e-10 + + def test_time_weighted_average_single_point_none_bounds(self): + """Test time_weighted_average with single point and None bounds.""" + series = [TimeStampedValue(2.0, 10.0)] + result = time_weighted_average(series, None, None) + # Single point with 1.0s duration (from 2.0 to 3.0) + assert result == 10.0 + + def test_time_weighted_average_custom_last_window_s(self): + """Test time_weighted_average with custom last_window_s parameter.""" + series = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 10.0), + TimeStampedValue(3.0, 15.0), ] - buckets = _bucket_latest_by_window(series, start=1.0, window_s=0.001) - # With window_s=0.001: - # 1.001: (1.001 - 1.0) // 0.001 = 1.0 => window 1, but floor division gives 0 - # 1.002: (1.002 - 1.0) // 0.001 = 2.0 => window 2 - expected = { - 0: 10.0, - 2: 20.0, - } # Corrected based on actual floor division behavior - assert buckets == expected - - def test_merge_two_timeseries_both_empty(self): - """Test _merge_two_timeseries with both series empty.""" - result = _merge_two_timeseries([], [], window_s=1.0) - assert result == [] - - def test_merge_two_timeseries_one_empty(self): - """Test _merge_two_timeseries with one series empty.""" - t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(2.0, 20.0)] - - result1 = _merge_two_timeseries(t1, [], window_s=1.0) - result2 = _merge_two_timeseries([], t1, window_s=1.0) - - # Results should be the same regardless of order - assert len(result1) == len(result2) == 2 - assert_timeseries_equal(result1, result2) - def test_merge_two_timeseries_overlapping_windows(self): - """Test _merge_two_timeseries with values in overlapping time windows.""" - t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(1.5, 15.0)] - t2 = [TimeStampedValue(1.3, 13.0), TimeStampedValue(1.8, 18.0)] + # Test with last_window_s=2.0 (double the default) + result_2s = time_weighted_average(series, None, None, last_window_s=2.0) + # Should use from t=1.0 to t=3.0+2.0=5.0 + # 1.0s at value 5 (from 1.0 to 2.0), 1.0s at value 10 (from 2.0 to 3.0), 2.0s at value 15 (from 3.0 to 5.0) + expected_2s = (5.0 * 1.0 + 10.0 * 1.0 + 15.0 * 2.0) / 4.0 + assert abs(result_2s - expected_2s) < 1e-10 + + # Test with last_window_s=0.5 (half the default) + result_0_5s = time_weighted_average(series, None, None, last_window_s=0.5) + # Should use from t=1.0 to t=3.0+0.5=3.5 + # 1.0s at value 5 (from 1.0 to 2.0), 1.0s at value 10 (from 2.0 to 3.0), 0.5s at value 15 (from 3.0 to 3.5) + expected_0_5s = (5.0 * 1.0 + 10.0 * 1.0 + 15.0 * 0.5) / 2.5 + assert abs(result_0_5s - expected_0_5s) < 1e-10 + + # Test with window_start specified but window_end None - should still use last_window_s + result_with_start = time_weighted_average(series, 1.5, None, last_window_s=3.0) + # Should use from t=1.5 to t=3.0+3.0=6.0 + # 0.5s at value 5 (from 1.5 to 2.0), 1.0s at value 10 (from 2.0 to 3.0), 3.0s at value 15 (from 3.0 to 6.0) + expected_with_start = (5.0 * 0.5 + 10.0 * 1.0 + 15.0 * 3.0) / 4.5 + assert abs(result_with_start - expected_with_start) < 1e-10 + + # Test that last_window_s is ignored when window_end is explicitly provided + result_explicit_end = time_weighted_average( + series, None, 4.0, last_window_s=10.0 + ) + # Should use from t=1.0 to t=4.0 (ignoring last_window_s=10.0) + # 1.0s at value 5 (from 1.0 to 2.0), 1.0s at value 10 (from 2.0 to 3.0), 1.0s at value 15 (from 3.0 to 4.0) + expected_explicit_end = (5.0 * 1.0 + 10.0 * 1.0 + 15.0 * 1.0) / 3.0 + assert abs(result_explicit_end - expected_explicit_end) < 1e-10 - result = _merge_two_timeseries(t1, t2, window_s=1.0) + def test_merge_timeseries_dicts_instantaneous_basic(self): + """Test merge_timeseries_dicts basic functionality with instantaneous approach.""" + s1 = InMemoryMetricsStore() + s2 = InMemoryMetricsStore() - # With window_s=1.0 and earliest=1.0: - # start = 1.0 // 1.0 * 1.0 = 1.0 - # Window boundaries are [1.0, 2.0), [2.0, 3.0), etc. - # All values (1.0, 1.3, 1.5, 1.8) fall in window [1.0, 2.0) - # So we get 1 window - assert len(result) == 1 + s1.add_metrics_point({"metric1": 5, "metric2": 10}, timestamp=1.0) + s1.add_metrics_point({"metric1": 7}, timestamp=2.0) - # Window 0: latest from t1 is 15.0 (1.5 > 1.0), latest from t2 is 18.0 (1.8 > 1.3), sum: 33.0 - assert result[0].value == 33.0 + s2.add_metrics_point({"metric1": 3, "metric3": 20}, timestamp=1.5) - def test_merge_two_timeseries_zero_window(self): - """Test _merge_two_timeseries with zero window size.""" - t1 = [TimeStampedValue(1.0, 10.0)] - t2 = [TimeStampedValue(1.0, 20.0)] + result = merge_timeseries_dicts(s1.data, s2.data) - # Zero window should raise ValueError - with pytest.raises(ValueError, match="window_s must be positive, got 0"): - _merge_two_timeseries(t1, t2, window_s=0.0) + # metric1: s1 starts at 5 (t=1.0), s2 starts at 3 (t=1.5), s1 changes to 7 (t=2.0) + expected_metric1 = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(1.5, 8.0), # 5+3=8 + TimeStampedValue(2.0, 10.0), # 3+(7-5)=10 + ] + assert_timeseries_equal(result["metric1"], expected_metric1) - def test_merge_two_timeseries_negative_window(self): - """Test _merge_two_timeseries with negative window size.""" - t1 = [TimeStampedValue(1.0, 10.0)] - t2 = [TimeStampedValue(1.0, 20.0)] + # metric2: only from s1 + expected_metric2 = [TimeStampedValue(1.0, 10.0)] + assert_timeseries_equal(result["metric2"], expected_metric2) - # Negative window should raise ValueError - with pytest.raises(ValueError, match="window_s must be positive, got -1"): - _merge_two_timeseries(t1, t2, window_s=-1.0) + # metric3: only from s2 + expected_metric3 = [TimeStampedValue(1.5, 20.0)] + assert_timeseries_equal(result["metric3"], expected_metric3) - def test_merge_two_timeseries_very_small_window(self): - """Test _merge_two_timeseries with very small window.""" - t1 = [TimeStampedValue(1.0, 10.0)] - t2 = [TimeStampedValue(1.0001, 20.0)] + def test_merge_instantaneous_vs_windowed_comparison(self): + """Compare instantaneous merge vs windowed approach.""" + # Create test data that highlights the difference + s1 = InMemoryMetricsStore() + s2 = InMemoryMetricsStore() - result = _merge_two_timeseries(t1, t2, window_s=0.0001) + # Replica 1: 10 requests at t=0.1, then 5 at t=0.9 + s1.add_metrics_point({"requests": 10}, timestamp=0.1) + s1.add_metrics_point({"requests": 5}, timestamp=0.9) - # With very small window, these should be in different buckets - assert len(result) == 2 + # Replica 2: 3 requests at t=0.5, then 8 at t=1.1 + s2.add_metrics_point({"requests": 3}, timestamp=0.5) + s2.add_metrics_point({"requests": 8}, timestamp=1.1) - def test_merge_two_timeseries_large_window(self): - """Test _merge_two_timeseries with very large window.""" - t1 = [TimeStampedValue(1.0, 10.0), TimeStampedValue(100.0, 15.0)] - t2 = [TimeStampedValue(50.0, 20.0), TimeStampedValue(200.0, 25.0)] + # Instantaneous approach + instantaneous = merge_timeseries_dicts(s1.data, s2.data) - result = _merge_two_timeseries(t1, t2, window_s=1000.0) + # Instantaneous should have: t=0.1: 10, t=0.5: 13, t=0.9: 8, t=1.1: 13 + expected_instantaneous = [ + TimeStampedValue(0.1, 10.0), + TimeStampedValue(0.5, 13.0), # 10+3=13 + TimeStampedValue(0.9, 8.0), # 3+(5-10)=8 + TimeStampedValue(1.1, 13.0), # 5+(8-3)=13 + ] + assert_timeseries_equal(instantaneous["requests"], expected_instantaneous) + + def test_instantaneous_merge_handles_zero_deltas(self): + """Test that zero deltas are properly filtered out.""" + series1 = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(2.0, 5.0), # No change + TimeStampedValue(3.0, 7.0), + ] + series2 = [ + TimeStampedValue(1.5, 3.0), + TimeStampedValue(2.5, 3.0), # No change + ] - # All values should be in the same window - assert len(result) == 1 - # Latest from t1: 15.0, latest from t2: 25.0, sum: 40.0 - assert result[0].value == 40.0 + result = merge_instantaneous_total([series1, series2]) - def test_merge_two_timeseries_duplicate_timestamps(self): - """Test _merge_two_timeseries with duplicate timestamps in same series.""" - t1 = [ - TimeStampedValue(1.0, 10.0), - TimeStampedValue(1.0, 15.0), # Duplicate timestamp + # Should skip zero deltas + expected = [ + TimeStampedValue(1.0, 5.0), + TimeStampedValue(1.5, 8.0), # 5+3=8 + TimeStampedValue(3.0, 10.0), # 8+(7-5)=10 ] - t2 = [TimeStampedValue(1.0, 20.0)] + assert_timeseries_equal(result, expected) - result = _merge_two_timeseries(t1, t2, window_s=1.0) + def test_instantaneous_merge_with_epoch_times(self): + """Test instantaneous merge with realistic epoch timestamps.""" - # Latest from t1 should be 15.0, t2 should be 20.0, sum: 35.0 - assert len(result) == 1 - assert result[0].value == 35.0 + # Use realistic epoch times (around current time) + base_time = 1703980800.0 # December 30, 2023 16:00:00 UTC - def test_merge_two_timeseries_floating_point_precision(self): - """Test _merge_two_timeseries with floating point precision edge cases.""" - # Test with timestamps that might have precision issues - t1 = [TimeStampedValue(0.1 + 0.2, 10.0)] # 0.30000000000000004 - t2 = [TimeStampedValue(0.3, 20.0)] - - result = _merge_two_timeseries(t1, t2, window_s=0.01) + # Simulate 3 replicas reporting metrics over a 30-second period + replica1_series = [ + TimeStampedValue(base_time + 0.0, 12.0), # t=0s: 12 running requests + TimeStampedValue(base_time + 5.2, 15.0), # t=5.2s: increased to 15 + TimeStampedValue(base_time + 18.7, 8.0), # t=18.7s: dropped to 8 + TimeStampedValue(base_time + 25.1, 11.0), # t=25.1s: back up to 11 + ] - # These should be in the same window due to floating point precision - # but let's verify the behavior - assert len(result) >= 1 + replica2_series = [ + TimeStampedValue(base_time + 1.3, 7.0), # t=1.3s: 7 running requests + TimeStampedValue(base_time + 8.9, 9.0), # t=8.9s: increased to 9 + TimeStampedValue(base_time + 22.4, 4.0), # t=22.4s: dropped to 4 + ] - def test_merge_timeseries_dicts_empty_dicts(self): - """Test merge_timeseries_dicts with empty dictionaries.""" - result = merge_timeseries_dicts( - defaultdict(list), defaultdict(list), window_s=1.0 - ) - assert dict(result) == {} - - def test_merge_timeseries_dicts_single_dict(self): - """Test merge_timeseries_dicts with single dictionary.""" - data = defaultdict(list) - data["key1"] = [TimeStampedValue(1.0, 10.0)] - - result = merge_timeseries_dicts(data, window_s=1.0) - # With windowing applied, the result should have the same values but potentially different timestamps - expected = defaultdict(list) - expected["key1"] = [TimeStampedValue(1.0, 10.0)] # Window [1,2) starts at 1.0 - assert_timeseries_equal(result["key1"], expected["key1"]) - - def test_merge_timeseries_dicts_no_common_keys(self): - """Test merge_timeseries_dicts with dictionaries having no common keys.""" - d1 = defaultdict(list) - d1["key1"] = [TimeStampedValue(1.0, 10.0)] - - d2 = defaultdict(list) - d2["key2"] = [TimeStampedValue(2.0, 20.0)] - - result = merge_timeseries_dicts(d1, d2, window_s=1.0) - - assert "key1" in result - assert "key2" in result - assert len(result["key1"]) == 1 - assert len(result["key2"]) == 1 - - def test_merge_timeseries_dicts_many_stores(self): - """Test merge_timeseries_dicts with many stores.""" - stores = [] - for i in range(10): - store = defaultdict(list) - store["common_key"] = [TimeStampedValue(float(i), float(i * 10))] - stores.append(store) - - result = merge_timeseries_dicts(*stores, window_s=1.0) - - # Each value should be in its own window, sum should be 0+10+20+...+90 = 450 - assert "common_key" in result - total_value = sum(point.value for point in result["common_key"]) - assert total_value == 450.0 - - def test_merge_timeseries_dicts_zero_window(self): - """Test merge_timeseries_dicts with zero window size.""" - d1 = defaultdict(list) - d1["key1"] = [TimeStampedValue(1.0, 10.0)] - - d2 = defaultdict(list) - d2["key1"] = [TimeStampedValue(1.0, 20.0)] - - # Zero window should raise ValueError - with pytest.raises(ValueError, match="window_s must be positive, got 0"): - merge_timeseries_dicts(d1, d2, window_s=0.0) - - def test_merge_timeseries_dicts_negative_window(self): - """Test merge_timeseries_dicts with negative window size.""" - d1 = defaultdict(list) - d1["key1"] = [TimeStampedValue(1.0, 10.0)] - - # Negative window should raise ValueError - with pytest.raises(ValueError, match="window_s must be positive, got -1"): - merge_timeseries_dicts(d1, window_s=-1.0) - - def test_merge_timeseries_dicts_window_alignment_consistency(self): - """Test that window alignment is consistent regardless of input order.""" - # Create data that might expose window alignment issues - d1 = defaultdict(list) - d1["key1"] = [TimeStampedValue(1.1, 10.0)] - - d2 = defaultdict(list) - d2["key1"] = [TimeStampedValue(1.9, 20.0)] - - d3 = defaultdict(list) - d3["key1"] = [TimeStampedValue(2.1, 30.0)] - - # Test different orderings - result1 = merge_timeseries_dicts(d1, d2, d3, window_s=1.0) - result2 = merge_timeseries_dicts(d3, d1, d2, window_s=1.0) - result3 = merge_timeseries_dicts(d2, d3, d1, window_s=1.0) - - # Results should be the same regardless of order - assert_timeseries_equal(result1["key1"], result2["key1"]) - assert_timeseries_equal(result1["key1"], result3["key1"]) - - def test_merge_stores_bug_fix_window_center_calculation(self): - """Test for potential bug in window center calculation.""" - # This test checks if the window center calculation is correct - d1 = defaultdict(list) - d1["key1"] = [ - TimeStampedValue(0.0, 10.0), - TimeStampedValue(1.0, 15.0), - TimeStampedValue(2.0, 20.0), - TimeStampedValue(4.0, 30.0), - TimeStampedValue(5.0, 40.0), + replica3_series = [ + TimeStampedValue(base_time + 3.1, 5.0), # t=3.1s: 5 running requests + TimeStampedValue(base_time + 12.6, 8.0), # t=12.6s: increased to 8 + TimeStampedValue(base_time + 20.8, 6.0), # t=20.8s: dropped to 6 + TimeStampedValue(base_time + 28.3, 9.0), # t=28.3s: increased to 9 ] - result = merge_timeseries_dicts(d1, window_s=2.0) + # Merge all replicas + result = merge_instantaneous_total( + [replica1_series, replica2_series, replica3_series] + ) - # With window_s=2.0 and window start alignment: - # Window [0,2): timestamps 0.0, 1.0 -> latest value 15.0 at window start 0.0 - # Window [2,4): timestamp 2.0 -> value 20.0 at window start 2.0 - # Window [4,6): timestamps 4.0, 5.0 -> latest value 40.0 at window start 4.0 - assert len(result["key1"]) == 3 + # Expected timeline of instantaneous totals: expected = [ - TimeStampedValue(timestamp=0.0, value=15.0), # Latest in window [0,2) - TimeStampedValue(timestamp=2.0, value=20.0), # Value in window [2,4) - TimeStampedValue(timestamp=4.0, value=40.0), # Latest in window [4,6) + TimeStampedValue(base_time + 0.0, 12.0), # r1 starts: 12 + TimeStampedValue(base_time + 1.3, 19.0), # r2 starts: 12+7=19 + TimeStampedValue(base_time + 3.1, 24.0), # r3 starts: 19+5=24 + TimeStampedValue(base_time + 5.2, 27.0), # r1 changes: 24+(15-12)=27 + TimeStampedValue(base_time + 8.9, 29.0), # r2 changes: 27+(9-7)=29 + TimeStampedValue(base_time + 12.6, 32.0), # r3 changes: 29+(8-5)=32 + TimeStampedValue(base_time + 18.7, 25.0), # r1 changes: 32+(8-15)=25 + TimeStampedValue(base_time + 20.8, 23.0), # r3 changes: 25+(6-8)=23 + TimeStampedValue(base_time + 22.4, 18.0), # r2 changes: 23+(4-9)=18 + TimeStampedValue(base_time + 25.1, 21.0), # r1 changes: 18+(11-8)=21 + TimeStampedValue(base_time + 28.3, 24.0), # r3 changes: 21+(9-6)=24 ] - assert_timeseries_equal(result["key1"], expected) - def test_merge_stores_preserves_value_precision(self): - """Test that merging preserves floating point precision of values.""" - d1 = defaultdict(list) - d1["key1"] = [TimeStampedValue(1.0, 0.1)] + assert_timeseries_equal(result, expected) + + # Test time-weighted average over different intervals + # Full series average + full_avg = time_weighted_average(result, None, None) + assert full_avg is not None + assert full_avg > 0 + + # Average over first 10 seconds + early_avg = time_weighted_average(result, base_time, base_time + 10.0) + assert early_avg is not None - d2 = defaultdict(list) - d2["key1"] = [TimeStampedValue(1.0, 0.2)] + # Average over last 10 seconds + late_avg = time_weighted_average(result, base_time + 20.0, base_time + 30.0) + assert late_avg is not None - result = merge_timeseries_dicts(d1, d2, window_s=1.0) + # Verify the averages make sense relative to each other + # (early period has higher values, so early_avg should be > late_avg) + assert early_avg > late_avg - # 0.1 + 0.2 should equal 0.3 exactly - assert len(result["key1"]) == 1 - assert abs(result["key1"][0].value - 0.3) < 1e-10 + print(f"Full series average: {full_avg:.2f}") + print(f"Early period average (0-10s): {early_avg:.2f}") + print(f"Late period average (20-30s): {late_avg:.2f}") if __name__ == "__main__": From b45570335ba98d172940c574b7f23f2d8dc46196 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Tue, 23 Sep 2025 14:52:55 -0700 Subject: [PATCH 1361/1566] [core] (cgroups 11/n) Raylet will move system processes into cgroup on startup (#56522) This PR stacks on #56352 . For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR the makes the raylet move the system processes into the system cgroup on startup if resource isolation is enabled. It introduces the following * A new raylet cli arg `--system-pids` which is a comma-separated string of pids of system processes that are started before the raylet. As of today, it contains * On the head node: gcs_server, dashboard_api_server, ray client server, monitor (autoscaler) * On every node (including head): process subreaper, log monitor. * End-to-end integration tests for resource isolation with the Ray SDK (`ray.init`) and the Ray CLI (`ray --start`) There are a few rough edges (I've added a comment on the PR where relevant): 1. The construction of ResourceIsolationConfig is spread across multiple call-sites (create the object, add the object store memory, add the system pids). The big positive of doing it this way was to fail fast on invalid user input (in scripts.py and worker.py). I think it needs to have at least two components: the user input (cgroup_path, system_reserved_memory, ...) and the derived input (system_pids, total_system_reserved_memory). 2. How to determine which processes should be moved? Right now I'm using `self.all_processes` in `node.py`. It _should_ contain all processes started so far, but there's no guarantee. 3. How intrusive should the integration test be? Should we count the number of pids inside the system cgroup? (This was answered in #56549) 4. How should a user setup multiple nodes on the same VM? I haven't written an integration test for it yet because there are multiple options for how to set this up. --------- Signed-off-by: irabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/node.py | 13 ++ .../ray/_private/resource_isolation_config.py | 6 +- python/ray/_private/services.py | 1 + .../test_resource_isolation_integration.py | 141 +++++++++--------- src/ray/common/cgroup2/cgroup_manager.cc | 2 +- src/ray/raylet/BUILD.bazel | 1 + src/ray/raylet/main.cc | 29 +++- 7 files changed, 117 insertions(+), 76 deletions(-) diff --git a/python/ray/_private/node.py b/python/ray/_private/node.py index 49a50e2ff4bb..55975b41b75f 100644 --- a/python/ray/_private/node.py +++ b/python/ray/_private/node.py @@ -1185,6 +1185,10 @@ def start_raylet( create_err=True, ) + self.resource_isolation_config.add_system_pids( + self._get_system_processes_for_resource_isolation() + ) + process_info = ray._private.services.start_raylet( self.redis_address, self.gcs_address, @@ -1427,6 +1431,15 @@ def start_ray_processes(self): self.start_raylet(plasma_directory, fallback_directory, object_store_memory) + def _get_system_processes_for_resource_isolation(self) -> str: + """Returns a list of system processes that will be isolated by raylet. + + NOTE: If a new system process is started before the raylet starts up, it needs to be + added to self.all_processes so it can be moved into the raylet's managed cgroup + hierarchy. + """ + return ",".join(str(p[0].process.pid) for p in self.all_processes.values()) + def _kill_process_type( self, process_type, diff --git a/python/ray/_private/resource_isolation_config.py b/python/ray/_private/resource_isolation_config.py index d8523f2e4927..9d12fa817363 100644 --- a/python/ray/_private/resource_isolation_config.py +++ b/python/ray/_private/resource_isolation_config.py @@ -43,10 +43,10 @@ def __init__( system_reserved_cpu: Optional[float] = None, system_reserved_memory: Optional[int] = None, ): - self._resource_isolation_enabled = enable_resource_isolation self.cgroup_path = cgroup_path self.system_reserved_memory = system_reserved_memory + self.system_pids = "" # cgroupv2 cpu.weight calculated from system_reserved_cpu # assumes ray uses all available cores. self.system_reserved_cpu_weight: int = None @@ -115,6 +115,10 @@ def add_object_store_memory(self, object_store_memory: int): ) self._constructed = True + def add_system_pids(self, system_pids: str): + """A comma-separated list of pids to move into the system cgroup.""" + self.system_pids = system_pids + @staticmethod def _validate_and_get_cgroup_path(cgroup_path: Optional[str]) -> str: """Returns the ray_constants.DEFAULT_CGROUP_PATH if cgroup_path is not diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index c69dec3151fd..5bc0efcecede 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -1904,6 +1904,7 @@ def start_raylet( command.append( f"--system-reserved-memory-bytes={resource_isolation_config.system_reserved_memory}" ) + command.append(f"--system-pids={resource_isolation_config.system_pids}") if raylet_stdout_filepath: command.append(f"--stdout_filepath={raylet_stdout_filepath}") diff --git a/python/ray/tests/resource_isolation/test_resource_isolation_integration.py b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py index f8d2b01bf0be..343d2ce81ba6 100644 --- a/python/ray/tests/resource_isolation/test_resource_isolation_integration.py +++ b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py @@ -1,3 +1,4 @@ +import os import sys from pathlib import Path @@ -5,8 +6,6 @@ from click.testing import CliRunner import ray -import ray._private.ray_constants as ray_constants -import ray._private.utils as utils import ray.scripts.scripts as scripts from ray._private.resource_isolation_config import ResourceIsolationConfig @@ -21,6 +20,7 @@ # # Run these commands locally before running the test suite: # sudo mkdir -p /sys/fs/cgroup/resource_isolation_test +# echo "+cpu +memory" | sudo tee -a /sys/fs/cgroup/resource_isolation_test/cgroup.subtree_control # sudo chown -R $(whoami):$(whoami) /sys/fs/cgroup/resource_isolation_test/ # sudo chmod -R u+rwx /sys/fs/cgroup/resource_isolation_test/ # echo $$ | sudo tee /sys/fs/cgroup/resource_isolation_test/cgroup.procs @@ -32,44 +32,26 @@ # _BASE_CGROUP_PATH = "/sys/fs/cgroup/resource_isolation_test" -def test_resource_isolation_enabled_creates_cgroup_hierarchy(ray_start_cluster): - cluster = ray_start_cluster - base_cgroup = _BASE_CGROUP_PATH - resource_isolation_config = ResourceIsolationConfig( - enable_resource_isolation=True, - cgroup_path=base_cgroup, - system_reserved_memory=1024**3, - system_reserved_cpu=1, - ) - # Need to use a worker node because the driver cannot delete the head node. - cluster.add_node(num_cpus=0) - ray.init(address=cluster.address) - - worker_node = cluster.add_node( - num_cpus=1, resource_isolation_config=resource_isolation_config - ) - worker_node_id = worker_node.node_id - cluster.wait_for_nodes() - - # Make sure the worker node is up and running. - @ray.remote - def task(): - return "hellodarknessmyoldfriend" - - ray.get(task.remote(), timeout=5) - - # TODO(#54703): This test is deliberately overspecified right now. The test shouldn't - # care about the cgroup hierarchy. It should just verify that application and system processes - # are started in a cgroup with the correct constraints. This will be updated once cgroup - # process management is completed. - node_cgroup = Path(base_cgroup) / f"ray_node_{worker_node_id}" +# TODO(#54703): This test is deliberately overspecified right now. The test shouldn't +# care about the cgroup hierarchy. It should just verify that application and system processes +# are started in a cgroup with the correct constraints. This will be updated once cgroup +# process management is completed. +def assert_cgroup_hierarchy_exists_for_node( + node_id: str, resource_isolation_config: ResourceIsolationConfig +): + base_cgroup_for_node = resource_isolation_config.cgroup_path + node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" system_cgroup = node_cgroup / "system" + system_leaf_cgroup = system_cgroup / "leaf" application_cgroup = node_cgroup / "application" + application_leaf_cgroup = application_cgroup / "leaf" # 1) Check that the cgroup hierarchy is created correctly for the node. assert node_cgroup.is_dir() assert system_cgroup.is_dir() + assert system_leaf_cgroup.is_dir() assert application_cgroup.is_dir() + assert application_leaf_cgroup.is_dir() # 2) Verify the constraints are applied correctly. system_cgroup_memory_min = system_cgroup / "memory.min" @@ -87,14 +69,24 @@ def task(): 10000 - resource_isolation_config.system_reserved_cpu_weight ) - # 3) Gracefully shutting down the node cleans up everything. Don't need to check - # everything. If the base_cgroup is deleted, then all clean up succeeded. - cluster.remove_node(worker_node) + # 3) Check to see that all system pids are inside the system cgroup + system_leaf_cgroup_procs = system_leaf_cgroup / "cgroup.procs" + # At least the raylet process is always moved. + with open(system_leaf_cgroup_procs, "r") as cgroup_procs_file: + lines = cgroup_procs_file.readlines() + assert ( + len(lines) > 0 + ), f"Expected only system process passed into the raylet. Found {lines}" + + +def assert_cgroup_hierarchy_cleaned_up_for_node( + node_id: str, resource_isolation_config: ResourceIsolationConfig +): + base_cgroup_for_node = resource_isolation_config.cgroup_path + node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" assert not node_cgroup.is_dir() -# The following tests will test integration of resource isolation -# with the 'ray start' command. @pytest.fixture def cleanup_ray(): """Shutdown all ray instances""" @@ -114,19 +106,41 @@ def test_ray_start_invalid_resource_isolation_config(cleanup_ray): assert isinstance(result.exception, ValueError) -def test_ray_start_resource_isolation_config_default_values(monkeypatch, cleanup_ray): - monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: 16) - # The DEFAULT_CGROUP_PATH override is only relevant when running locally. - monkeypatch.setattr(ray_constants, "DEFAULT_CGROUP_PATH", _BASE_CGROUP_PATH) - +def test_ray_start_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( + monkeypatch, cleanup_ray +): + object_store_memory = 1024**3 + system_reserved_memory = 1024**3 + system_reserved_cpu = 1 + resource_isolation_config = ResourceIsolationConfig( + cgroup_path=_BASE_CGROUP_PATH, + enable_resource_isolation=True, + system_reserved_cpu=system_reserved_cpu, + system_reserved_memory=system_reserved_memory, + ) + node_id = ray.NodeID.from_random().hex() + os.environ["RAY_OVERRIDE_NODE_ID_FOR_TESTING"] = node_id runner = CliRunner() result = runner.invoke( scripts.start, - ["--head", "--enable-resource-isolation"], + [ + "--head", + "--enable-resource-isolation", + "--cgroup-path", + _BASE_CGROUP_PATH, + "--system-reserved-cpu", + system_reserved_cpu, + "--system-reserved-memory", + system_reserved_memory, + "--object-store-memory", + object_store_memory, + ], ) - # TODO(#54703): Need to rewrite this test to check for side-effects on the cgroup - # hierarchy once the rest of the implemetation is complete. assert result.exit_code == 0 + resource_isolation_config.add_object_store_memory(object_store_memory) + assert_cgroup_hierarchy_exists_for_node(node_id, resource_isolation_config) + runner.invoke(scripts.stop) + assert_cgroup_hierarchy_cleaned_up_for_node(node_id, resource_isolation_config) # The following tests will test integration of resource isolation @@ -144,25 +158,13 @@ def test_ray_init_resource_isolation_disabled_by_default(ray_shutdown): assert not node.resource_isolation_config.is_enabled() -def test_ray_init_with_resource_isolation_default_values(monkeypatch, ray_shutdown): - total_system_cpu = 10 - monkeypatch.setattr(utils, "get_num_cpus", lambda *args, **kwargs: total_system_cpu) - # The DEFAULT_CGROUP_PATH override is only relevant when running locally. - monkeypatch.setattr(ray_constants, "DEFAULT_CGROUP_PATH", _BASE_CGROUP_PATH) - ray.init(address="local", enable_resource_isolation=True) - node = ray._private.worker._global_node - assert node is not None - assert node.resource_isolation_config.is_enabled() - - def test_ray_init_with_resource_isolation_override_defaults(ray_shutdown): - cgroup_path = _BASE_CGROUP_PATH system_reserved_cpu = 1 - system_reserved_memory = 1 * 10**9 - object_store_memory = 1 * 10**9 + system_reserved_memory = 1024**3 + object_store_memory = 1024**3 resource_isolation_config = ResourceIsolationConfig( enable_resource_isolation=True, - cgroup_path=cgroup_path, + cgroup_path=_BASE_CGROUP_PATH, system_reserved_cpu=system_reserved_cpu, system_reserved_memory=system_reserved_memory, ) @@ -170,24 +172,17 @@ def test_ray_init_with_resource_isolation_override_defaults(ray_shutdown): ray.init( address="local", enable_resource_isolation=True, - _cgroup_path=cgroup_path, + _cgroup_path=_BASE_CGROUP_PATH, system_reserved_cpu=system_reserved_cpu, system_reserved_memory=system_reserved_memory, object_store_memory=object_store_memory, ) node = ray._private.worker._global_node - # TODO(#54703): Need to rewrite this test to check for side-effects on the cgroup - # hierarchy once the rest of the implemetation is complete. assert node is not None - assert node.resource_isolation_config.is_enabled() - assert ( - node.resource_isolation_config.system_reserved_cpu_weight - == resource_isolation_config.system_reserved_cpu_weight - ) - assert ( - node.resource_isolation_config.system_reserved_memory - == resource_isolation_config.system_reserved_memory - ) + node_id = node.node_id + assert_cgroup_hierarchy_exists_for_node(node_id, resource_isolation_config) + ray.shutdown() + assert_cgroup_hierarchy_cleaned_up_for_node(node_id, resource_isolation_config) if __name__ == "__main__": diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index 4e696490b010..9a808305c365 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -298,7 +298,7 @@ Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { // TODO(#54703): Add link to OSS documentation once available. RAY_CHECK(!s.IsNotFound()) << "Failed to move process " << pid << " into system cgroup " << system_leaf_cgroup_ - << "because the cgroup was not found. " + << " because the cgroup was not found. " "If resource isolation is enabled, Ray's cgroup " "hierarchy must not be modified " "while Ray is running."; diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index c3d618c73a3c..342c27452708 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -304,6 +304,7 @@ ray_cc_binary( "//src/ray/util:stream_redirection_options", "//src/ray/util:time", "@com_github_gflags_gflags//:gflags", + "@com_google_absl//absl/strings", "@nlohmann_json", ], ) diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 4fc3b82559f2..06e96126d151 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -21,6 +21,7 @@ #include #include +#include "absl/strings/str_split.h" #include "gflags/gflags.h" #include "nlohmann/json.hpp" #include "ray/common/asio/instrumented_io_context.h" @@ -143,6 +144,10 @@ DEFINE_int64(system_reserved_memory_bytes, "be applied as a memory.min constraint to the system cgroup. If " "enable-resource-isolation is true, then this cannot be -1"); +DEFINE_string(system_pids, + "", + "A comma-separated list of pids to move into the system cgroup."); + absl::flat_hash_map parse_node_labels( const std::string &labels_json_str) { absl::flat_hash_map labels; @@ -253,6 +258,7 @@ int main(int argc, char *argv[]) { const std::string cgroup_path = FLAGS_cgroup_path; const int64_t system_reserved_cpu_weight = FLAGS_system_reserved_cpu_weight; const int64_t system_reserved_memory_bytes = FLAGS_system_reserved_memory_bytes; + const std::string system_pids = FLAGS_system_pids; RAY_CHECK_NE(FLAGS_cluster_id, "") << "Expected cluster ID."; ray::ClusterID cluster_id = ray::ClusterID::FromHex(FLAGS_cluster_id); @@ -271,10 +277,11 @@ int main(int argc, char *argv[]) { "system_reserved_cpu_weight must be set to a value between [1,10000]"; RAY_CHECK_NE(system_reserved_memory_bytes, -1) << "Failed to start up raylet. If enable_resource_isolation is set to true, " - "system_reserved_memory_byres must be set to a value > 0"; + "system_reserved_memory_bytes must be set to a value > 0"; std::unique_ptr cgroup_driver = std::make_unique(); + ray::StatusOr> cgroup_manager_s = ray::CgroupManager::Create(std::move(cgroup_path), node_id, @@ -294,6 +301,26 @@ int main(int argc, char *argv[]) { << "Resource isolation with cgroups is only supported in linux. Please set " "enable_resource_isolation to false. This is likely a misconfiguration."; #endif + + // Move system processes into the system cgroup. + // TODO(#54703): This logic needs to be hardened and moved out of main.cc. E.g. + // if system_pids is ",,,,,,", this will log an error for each empty + // string. + std::vector system_pids_to_move; + if (!system_pids.empty()) { + system_pids_to_move = std::move(absl::StrSplit(system_pids, ",")); + } + system_pids_to_move.emplace_back(std::to_string(ray::GetPID())); + for (const auto &pid : system_pids_to_move) { + ray::Status s = cgroup_manager->AddProcessToSystemCgroup(pid); + // TODO(#54703): This could be upgraded to a RAY_CHECK. + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to move process %s into system cgroup with error %s", + pid, + s.ToString()); + } + } } // Configuration for the node manager. From de64cca0f164e0d5514e45b7630c9016df192516 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 14:53:04 -0700 Subject: [PATCH 1362/1566] [ci] use ray user in manylinux ci image (#56828) so that it no longer runs as root by default Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/manylinux.Dockerfile | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/ci/docker/manylinux.Dockerfile b/ci/docker/manylinux.Dockerfile index 7a243e5033f1..d746a3a94c71 100644 --- a/ci/docker/manylinux.Dockerfile +++ b/ci/docker/manylinux.Dockerfile @@ -6,6 +6,9 @@ FROM quay.io/pypa/manylinux2014_${HOSTTYPE}:2024-07-02-9ac04ee ARG BUILDKITE_BAZEL_CACHE_URL ARG RAYCI_DISABLE_JAVA=false +# uid needs to be synced with forge.Dockerfile +ARG FORGE_UID=2000 + ENV BUILD_JAR=1 ENV RAYCI_DISABLE_JAVA=$RAYCI_DISABLE_JAVA ENV RAY_INSTALL_JAVA=1 @@ -16,6 +19,34 @@ RUN yum -y install sudo RUN curl -LsSf https://astral.sh/uv/0.8.17/install.sh | \ env UV_INSTALL_DIR=/usr/local/bin sh +RUN <> /etc/sudoers + +EOF + COPY ci/build/build-manylinux-forge.sh /tmp/build-manylinux-forge.sh RUN ./tmp/build-manylinux-forge.sh + +USER forge +ENV HOME=/home/forge + +RUN < "$HOME"/.bazelrc + +EOF From eaff8f2297046cf70a011f8e157c230cd0352d37 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 15:09:08 -0700 Subject: [PATCH 1363/1566] [ci] do not disable cache uploading in base images (#56822) caching will be enabled / disabled when building Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/base.gpu.Dockerfile | 4 ---- 1 file changed, 4 deletions(-) diff --git a/ci/docker/base.gpu.Dockerfile b/ci/docker/base.gpu.Dockerfile index 35d090cdb38a..5fb8faeb1143 100644 --- a/ci/docker/base.gpu.Dockerfile +++ b/ci/docker/base.gpu.Dockerfile @@ -47,9 +47,6 @@ apt-get install -y docker-ce-cli echo "build --remote_cache=${BUILDKITE_BAZEL_CACHE_URL}" >> /root/.bazelrc -# TODO(aslonnie): allow caching on trusted pipeline builds. -echo "build --remote_upload_local_results=false" >> /root/.bazelrc - EOF # System conf for tests @@ -62,7 +59,6 @@ RUN echo "ulimit -c 0" >> /root/.bashrc RUN mkdir /ray WORKDIR /ray -# Below should be re-run each time COPY . . RUN bash --login -ie -c '\ From 65129cf858bcfcc400869bd5f0d43b3e9e77aaf2 Mon Sep 17 00:00:00 2001 From: Aydin Abiar <62435714+Aydin-ab@users.noreply.github.com> Date: Tue, 23 Sep 2025 16:37:29 -0700 Subject: [PATCH 1364/1566] [docs] Add serve llm example to index page + other minor fix (#56788) Signed-off-by: Douglas Strodtman --- doc/source/serve/llm/index.md | 9 ++++++++ .../hybrid-reasoning-llm/README.md | 17 ++++++++++---- .../hybrid-reasoning-llm/client_streaming.py | 2 +- .../client_thinking_disabled.py | 2 +- .../client_thinking_enabled.py | 2 +- .../hybrid-reasoning-llm/notebook.ipynb | 17 ++++++++++---- .../hybrid-reasoning-llm/serve_qwen_3_32b.py | 8 +++++-- .../large-size-llm/README.md | 11 ++++++--- .../large-size-llm/client.py | 2 +- .../large-size-llm/notebook.ipynb | 11 ++++++--- .../medium-size-llm/README.md | 23 +++++++++++-------- .../medium-size-llm/client.py | 2 +- .../medium-size-llm/notebook.ipynb | 23 +++++++++++-------- .../medium-size-llm/serve_llama_3_1_70b.py | 2 +- .../reasoning-llm/README.md | 15 ++++++++---- .../reasoning-llm/client.py | 2 +- .../reasoning-llm/client_streaming.py | 2 +- .../reasoning-llm/notebook.ipynb | 15 ++++++++---- .../reasoning-llm/serve_qwq_32b.py | 8 +++++-- .../small-size-llm/README.md | 11 ++++++--- .../small-size-llm/client.py | 2 +- .../small-size-llm/notebook.ipynb | 11 ++++++--- .../deployment-serve-llm/vision-llm/README.md | 11 ++++++--- .../vision-llm/client_local_image.py | 2 +- .../vision-llm/client_url_image.py | 2 +- .../vision-llm/notebook.ipynb | 11 ++++++--- .../vision-llm/serve_qwen_VL.py | 2 +- 27 files changed, 155 insertions(+), 70 deletions(-) diff --git a/doc/source/serve/llm/index.md b/doc/source/serve/llm/index.md index 893b4a5d370a..382a107f81ff 100644 --- a/doc/source/serve/llm/index.md +++ b/doc/source/serve/llm/index.md @@ -59,3 +59,12 @@ Quickstart Prefill/Decode Disaggregation Cache-aware request routing ``` + +## Examples + +- {doc}`Deploy a small-sized LLM <../tutorials/deployment-serve-llm/small-size-llm/README>` +- {doc}`Deploy a medium-sized LLM <../tutorials/deployment-serve-llm/medium-size-llm/README>` +- {doc}`Deploy a large-sized LLM <../tutorials/deployment-serve-llm/large-size-llm/README>` +- {doc}`Deploy a vision LLM <../tutorials/deployment-serve-llm/vision-llm/README>` +- {doc}`Deploy a reasoning LLM <../tutorials/deployment-serve-llm/reasoning-llm/README>` +- {doc}`Deploy a hybrid reasoning LLM <../tutorials/deployment-serve-llm/hybrid-reasoning-llm/README>` \ No newline at end of file diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md index cdd0ecf74f03..53283909a5cf 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a hybrid reasoning LLM +
    +  +  +
    + A hybrid reasoning model provides flexibility by allowing you to enable or disable reasoning as needed. You can use structured, step-by-step thinking for complex queries while skipping it for simpler ones, balancing accuracy with efficiency depending on the task. This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. @@ -130,9 +135,10 @@ llm_config = LLMConfig( model_id="my-qwen-3-32b", model_source="Qwen/Qwen3-32B", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( autoscaling_config=dict( + # Increase number of replicas for higher throughput/concurrency. min_replicas=1, max_replicas=2, ) @@ -140,7 +146,8 @@ llm_config = LLMConfig( ### Uncomment if your model is gated and needs your Hugging Face token to access it. # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), engine_kwargs=dict( - tensor_parallel_size=8, max_model_len=32768, reasoning_parser="qwen3" + # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models. + tensor_parallel_size=4, max_model_len=32768, reasoning_parser="qwen3" ), ) app = build_openai_app({"llm_configs": [llm_config]}) @@ -213,7 +220,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( @@ -259,7 +266,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( @@ -310,7 +317,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py index ea383b2649f0..a3bf7b15c4e4 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_streaming.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py index fcacfe43166f..8efc1d3c8ce8 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_disabled.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py index f1ea4070ec3f..3f71a1c7c13f 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/client_thinking_enabled.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb index 97e7bb17834e..c9f79cce9e31 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a hybrid reasoning LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A hybrid reasoning model provides flexibility by allowing you to enable or disable reasoning as needed. You can use structured, step-by-step thinking for complex queries while skipping it for simpler ones, balancing accuracy with efficiency depending on the task.\n", "\n", "This tutorial deploys a hybrid reasoning LLM using Ray Serve LLM. \n", @@ -133,9 +138,10 @@ " model_id=\"my-qwen-3-32b\",\n", " model_source=\"Qwen/Qwen3-32B\",\n", " ),\n", - " accelerator_type=\"A100-40G\",\n", + " accelerator_type=\"L40S\", # Or \"A100-40G\"\n", " deployment_config=dict(\n", " autoscaling_config=dict(\n", + " # Increase number of replicas for higher throughput/concurrency.\n", " min_replicas=1,\n", " max_replicas=2,\n", " )\n", @@ -143,7 +149,8 @@ " ### Uncomment if your model is gated and needs your Hugging Face token to access it.\n", " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", " engine_kwargs=dict(\n", - " tensor_parallel_size=8, max_model_len=32768, reasoning_parser=\"qwen3\"\n", + " # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models.\n", + " tensor_parallel_size=4, max_model_len=32768, reasoning_parser=\"qwen3\"\n", " ),\n", ")\n", "app = build_openai_app({\"llm_configs\": [llm_config]})\n" @@ -248,7 +255,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", @@ -316,7 +323,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", @@ -389,7 +396,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py index e53f28ac6a90..c4fd14f4c3d0 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/serve_qwen_3_32b.py @@ -7,8 +7,9 @@ model_id="my-qwen-3-32b", model_source="Qwen/Qwen3-32B", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( + # Increase number of replicas for higher throughput/concurrency. autoscaling_config=dict( min_replicas=1, max_replicas=2, @@ -17,7 +18,10 @@ ### Uncomment if your model is gated and needs your Hugging Face token to access it. # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), engine_kwargs=dict( - tensor_parallel_size=8, max_model_len=32768, reasoning_parser="qwen3" + # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models. + tensor_parallel_size=4, + max_model_len=32768, + reasoning_parser="qwen3", ), ) app = build_openai_app({"llm_configs": [llm_config]}) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md index 379e4c0d0ba4..ff3d49b1d5e8 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a large-sized LLM +
    +  +  +
    + A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results. This tutorial deploys DeepSeek-R1, a large LLM with 685 B parameters, using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html) or [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html). @@ -128,7 +133,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-deepseek-r1", @@ -326,8 +331,8 @@ Quantizing or distilling your model reduces its memory footprint, freeing up spa Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. **Scale with more replicas** -In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. -Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. ```yaml deployment_config: autoscaling_config: diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py index 839f17958d3b..d03724a31911 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/client.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-deepseek-r1", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb index 6764565d998e..c1fc5ba09fac 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a large-sized LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A large LLM typically runs on multiple nodes with multiple GPUs, prioritizing peak quality and capability: stronger reasoning, broader knowledge, longer context windows, more robust generalization. When higher latency, complexity, and cost are acceptable trade-offs because you require state-of-the-art results.\n", "\n", "This tutorial deploys DeepSeek-R1, a large LLM with 685 B parameters, using Ray Serve LLM. For smaller models, see [Deploying a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html) or [Deploying a medium-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/medium-size-llm/README.html).\n", @@ -163,7 +168,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-deepseek-r1\",\n", @@ -401,8 +406,8 @@ "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", "\n", "**Scale with more replicas** \n", - "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", - "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", "```yaml\n", "deployment_config:\n", " autoscaling_config:\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md index 271080a43e9b..1762ebdca98b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a medium-sized LLM +
    +  +  +
    + A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive. This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html). @@ -36,7 +41,7 @@ llm_config = LLMConfig( # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model model_source="meta-llama/Llama-3.1-70B-Instruct", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( autoscaling_config=dict( min_replicas=1, @@ -121,7 +126,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-70b", @@ -260,9 +265,9 @@ applications: Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/latest/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. -Example log: +Example log for 8xL40S: ```console -INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 13.02x +INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 17.79x ``` The following are a few ways to improve concurrency depending on your model and hardware: @@ -270,9 +275,9 @@ The following are a few ways to improve concurrency depending on your model and **Reduce `max_model_len`** Lowering `max_model_len` reduces the memory needed for KV cache. -**Example:** Running Llama-3.1-70 B on an A100-40G: -* `max_model_len = 32,768` → concurrency ≈ 13 -* `max_model_len = 16,384` → concurrency ≈ 26 +**Example:** Running Llama-3.1-70 B on 8xL40S: +* `max_model_len = 32,768` → concurrency ≈ 18 +* `max_model_len = 16,384` → concurrency ≈ 36 **Use Quantized models** Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests. @@ -284,8 +289,8 @@ If a single node isn't enough to handle your workload, consider distributing the Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. **Scale with more replicas** -In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. -Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. ```yaml deployment_config: autoscaling_config: diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py index 6715ef57b451..d69c57b10a46 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/client.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-70b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb index b6dd436002b8..0283fa9e483d 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a medium-sized LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A medium LLM typically runs on a single node with 4-8 GPUs. It offers a balance between performance and efficiency. These models provide stronger accuracy and reasoning than small models while remaining more affordable and resource-friendly than very large ones. This makes them a solid choice for production workloads that need good quality at lower cost. They're also ideal for scaling applications where large models would be too slow or expensive.\n", "\n", "This tutorial deploys a medium-sized LLM using Ray Serve LLM. For smaller models, see [Deploy a small-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/small-size-llm/README.html), and for larger models, see [Deploy a large-sized LLM](https://docs.ray.io/en/latest/serve/tutorials/deployment-serve-llm/large-size-llm/README.html).\n", @@ -39,7 +44,7 @@ " # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model\n", " model_source=\"meta-llama/Llama-3.1-70B-Instruct\",\n", " ),\n", - " accelerator_type=\"A100-40G\",\n", + " accelerator_type=\"L40S\", # Or \"A100-40G\"\n", " deployment_config=dict(\n", " autoscaling_config=dict(\n", " min_replicas=1,\n", @@ -156,7 +161,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-llama-3.1-70b\",\n", @@ -335,9 +340,9 @@ "\n", "Ray Serve LLM uses [vLLM](https://docs.vllm.ai/en/latest/) as its backend engine, which logs the *maximum concurrency* it can support based on your configuration. \n", "\n", - "Example log:\n", + "Example log for 8xL40S:\n", "```console\n", - "INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 13.02x\n", + "INFO 08-19 20:57:37 [kv_cache_utils.py:837] Maximum concurrency for 32,768 tokens per request: 17.79x\n", "```\n", "\n", "The following are a few ways to improve concurrency depending on your model and hardware: \n", @@ -345,9 +350,9 @@ "**Reduce `max_model_len`** \n", "Lowering `max_model_len` reduces the memory needed for KV cache.\n", "\n", - "**Example:** Running Llama-3.1-70 B on an A100-40G:\n", - "* `max_model_len = 32,768` → concurrency ≈ 13\n", - "* `max_model_len = 16,384` → concurrency ≈ 26\n", + "**Example:** Running Llama-3.1-70 B on 8xL40S:\n", + "* `max_model_len = 32,768` → concurrency ≈ 18\n", + "* `max_model_len = 16,384` → concurrency ≈ 36\n", "\n", "**Use Quantized models** \n", "Quantizing your model (for example, to FP8) reduces the model's memory footprint, freeing up memory for more KV cache and enabling more concurrent requests.\n", @@ -359,8 +364,8 @@ "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", "\n", "**Scale with more replicas** \n", - "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", - "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", "```yaml\n", "deployment_config:\n", " autoscaling_config:\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py index 9e62adffb19a..6d8fae149cda 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/serve_llama_3_1_70b.py @@ -8,7 +8,7 @@ # Or unsloth/Meta-Llama-3.1-70B-Instruct for an ungated model model_source="meta-llama/Llama-3.1-70B-Instruct", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( autoscaling_config=dict( min_replicas=1, diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md index ef7a943d6410..94bbdd36b858 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a reasoning LLM +
    +  +  +
    + A reasoning LLM handles tasks that require deeper analysis or step-by-step thought. It generates intermediate reasoning before arriving at a final answer, making it better suited for situations where careful logic or structured problem-solving is more important than speed or efficiency. This tutorial deploys a reasoning LLM using Ray Serve LLM. @@ -104,8 +109,9 @@ llm_config = LLMConfig( model_id="my-qwq-32B", model_source="Qwen/QwQ-32B", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( + # Increase number of replicas for higher throughput/concurrency. autoscaling_config=dict( min_replicas=1, max_replicas=2, @@ -114,7 +120,8 @@ llm_config = LLMConfig( ### Uncomment if your model is gated and needs your Hugging Face token to access it # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), engine_kwargs=dict( - tensor_parallel_size=8, max_model_len=32768, reasoning_parser="deepseek_r1" + # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models. + tensor_parallel_size=4, max_model_len=32768, reasoning_parser="deepseek_r1" ), ) @@ -184,7 +191,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-qwq-32B", @@ -233,7 +240,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py index e7ba801365a3..2fc4634a622b 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-qwq-32B", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py index d522e0867603..3adbcb428d09 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/client_streaming.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) # Example: Complex query with thinking process response = client.chat.completions.create( diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb index 5c29cfb6856f..62d4c4646f4c 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a reasoning LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A reasoning LLM handles tasks that require deeper analysis or step-by-step thought. It generates intermediate reasoning before arriving at a final answer, making it better suited for situations where careful logic or structured problem-solving is more important than speed or efficiency.\n", "\n", "This tutorial deploys a reasoning LLM using Ray Serve LLM. \n", @@ -107,8 +112,9 @@ " model_id=\"my-qwq-32B\",\n", " model_source=\"Qwen/QwQ-32B\",\n", " ),\n", - " accelerator_type=\"A100-40G\",\n", + " accelerator_type=\"L40S\", # Or \"A100-40G\"\n", " deployment_config=dict(\n", + " # Increase number of replicas for higher throughput/concurrency.\n", " autoscaling_config=dict(\n", " min_replicas=1,\n", " max_replicas=2,\n", @@ -117,7 +123,8 @@ " ### Uncomment if your model is gated and needs your Hugging Face token to access it\n", " # runtime_env=dict(env_vars={\"HF_TOKEN\": os.environ.get(\"HF_TOKEN\")}),\n", " engine_kwargs=dict(\n", - " tensor_parallel_size=8, max_model_len=32768, reasoning_parser=\"deepseek_r1\"\n", + " # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models.\n", + " tensor_parallel_size=4, max_model_len=32768, reasoning_parser=\"deepseek_r1\"\n", " ),\n", ")\n", "\n", @@ -219,7 +226,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-qwq-32B\",\n", @@ -290,7 +297,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "# Example: Complex query with thinking process\n", "response = client.chat.completions.create(\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py index 8c8cda59f8a5..15af553c0b67 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/reasoning-llm/serve_qwq_32b.py @@ -7,8 +7,9 @@ model_id="my-qwq-32B", model_source="Qwen/QwQ-32B", ), - accelerator_type="A100-40G", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( + # Increase number of replicas for higher throughput/concurrency. autoscaling_config=dict( min_replicas=1, max_replicas=2, @@ -17,7 +18,10 @@ ### Uncomment if your model is gated and needs your Hugging Face token to access it # runtime_env=dict(env_vars={"HF_TOKEN": os.environ.get("HF_TOKEN")}), engine_kwargs=dict( - tensor_parallel_size=8, max_model_len=32768, reasoning_parser="deepseek_r1" + # 4 GPUs is enough but you can increase tensor_parallel_size to fit larger models. + tensor_parallel_size=4, + max_model_len=32768, + reasoning_parser="deepseek_r1", ), ) diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md index 88c25c7c121f..1a7e017b7df9 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a small-sized LLM +
    +  +  +
    + A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy. @@ -116,7 +121,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-8b", @@ -284,8 +289,8 @@ Distribute the model across multiple GPUs with `tensor_parallel_size > 1`. Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box. **Scale with more Replicas** -In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. -Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. +In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. +Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic. ```yaml deployment_config: autoscaling_config: diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py index 397cda670371..49ebae725124 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/client.py @@ -4,7 +4,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-llama-3.1-8b", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb index b1e7796913f5..b53ba2accc67 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a small-sized LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A small LLM runs on a single node with 1–2 GPUs, making it fast, inexpensive, and simple to use. It’s ideal for prototyping, lightweight applications, latency-critical use cases, cost-sensitive deployments, and environments with limited resources where efficiency matters more than peak accuracy.\n", "\n", "\n", @@ -151,7 +156,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-llama-3.1-8b\",\n", @@ -359,8 +364,8 @@ "Some GPUs provide significantly more room for KV cache and allow for higher concurrency out of the box.\n", "\n", "**Scale with more Replicas** \n", - "In addition to tuning per-GPU concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", - "Each replica runs on its own GPU, so raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", + "In addition to tuning per-replica concurrency, you can scale *horizontally* by increasing the number of replicas in your config. \n", + "Raising the replica count increases the total number of concurrent requests your service can handle, especially under sustained or bursty traffic.\n", "```yaml\n", "deployment_config:\n", " autoscaling_config:\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md index 1a8c2654464f..aa18ede4a755 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/README.md @@ -10,6 +10,11 @@ jupyter nbconvert "$notebook.ipynb" --to markdown --output "README.md" # Deploy a vision LLM +
    +  +  +
    + A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. This tutorial deploys a vision LLM using Ray Serve LLM. @@ -33,7 +38,7 @@ llm_config = LLMConfig( model_id="my-qwen-VL", model_source="qwen/Qwen2.5-VL-7B-Instruct", ), - accelerator_type="L40S", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( autoscaling_config=dict( min_replicas=1, @@ -111,7 +116,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-qwen-VL", @@ -146,7 +151,7 @@ from openai import OpenAI API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) ### From an image locally saved as `example.jpg` # Load and encode image as base64 diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py index ac6d86f18be9..20d47ff82989 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_local_image.py @@ -6,7 +6,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) ### From an image locally saved as `example.jpg` # Load and encode image as base64 diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py index 0d093af6169b..afc37678dcfb 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/client_url_image.py @@ -5,7 +5,7 @@ API_KEY = "FAKE_KEY" BASE_URL = "http://localhost:8000" -client = OpenAI(BASE_URL=urljoin(BASE_URL, "v1"), API_KEY=API_KEY) +client = OpenAI(base_url=urljoin(BASE_URL, "v1"), api_key=API_KEY) response = client.chat.completions.create( model="my-qwen-VL", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb index fa340e74ab20..1678fdd7a57e 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/notebook.ipynb @@ -7,6 +7,11 @@ "source": [ "# Deploy a vision LLM\n", "\n", + "
    \n", + " \n", + " \n", + "
    \n", + "\n", "A vision LLM can interpret images as well as text, enabling tasks like answering questions about charts, analyzing photos, or combining visuals with instructions. It extends LLMs beyond language to support multimodal reasoning and richer applications. \n", "\n", "This tutorial deploys a vision LLM using Ray Serve LLM. \n", @@ -36,7 +41,7 @@ " model_id=\"my-qwen-VL\",\n", " model_source=\"qwen/Qwen2.5-VL-7B-Instruct\",\n", " ),\n", - " accelerator_type=\"L40S\",\n", + " accelerator_type=\"L40S\", # Or \"A100-40G\"\n", " deployment_config=dict(\n", " autoscaling_config=dict(\n", " min_replicas=1,\n", @@ -146,7 +151,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "response = client.chat.completions.create(\n", " model=\"my-qwen-VL\",\n", @@ -192,7 +197,7 @@ "API_KEY = \"FAKE_KEY\"\n", "BASE_URL = \"http://localhost:8000\"\n", "\n", - "client = OpenAI(BASE_URL=urljoin(BASE_URL, \"v1\"), API_KEY=API_KEY)\n", + "client = OpenAI(base_url=urljoin(BASE_URL, \"v1\"), api_key=API_KEY)\n", "\n", "### From an image locally saved as `example.jpg`\n", "# Load and encode image as base64\n", diff --git a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py index d1239439700a..453bc0360273 100644 --- a/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py +++ b/doc/source/serve/tutorials/deployment-serve-llm/vision-llm/serve_qwen_VL.py @@ -7,7 +7,7 @@ model_id="my-qwen-VL", model_source="qwen/Qwen2.5-VL-7B-Instruct", ), - accelerator_type="L40S", + accelerator_type="L40S", # Or "A100-40G" deployment_config=dict( autoscaling_config=dict( min_replicas=1, From e61a0449bedf576b5f422e947a7e42777e425fe6 Mon Sep 17 00:00:00 2001 From: akyang-anyscale Date: Tue, 23 Sep 2025 16:49:10 -0700 Subject: [PATCH 1365/1566] [serve] use deployment method in access logs for replicas (#56829) ## Why are these changes needed? access log for ingress replica should be the http route access log for non-ingress replica should be the call method ``` from ray import serve import fastapi fastapi_app = fastapi.FastAPI() @serve.deployment class Child: async def value(self) -> int: return 1 @serve.deployment @serve.ingress(fastapi_app) class Ingress: def __init__(self, child) -> None: self._child = child @fastapi_app.get("/index") async def index(self) -> int: return await self._child.value.remote() app = Ingress.bind(Child.bind()) ``` ``` # logs (ServeReplica:default:Child pid=1351458) INFO 2025-09-23 05:15:27,528 default_Child s5pl5nb1 57087c4e-c973-4811-97a6-4883fb4af2a6 -- CALL value OK 1.1ms (ServeReplica:default:Ingress pid=1351463) INFO 2025-09-23 05:15:27,567 default_Ingress r9k0uop3 57087c4e-c973-4811-97a6-4883fb4af2a6 -- GET /index 200 54.7ms ``` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: akyang-anyscale Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/replica.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/_private/replica.py b/python/ray/serve/_private/replica.py index bcfeebe52b3f..6fc716e2495c 100644 --- a/python/ray/serve/_private/replica.py +++ b/python/ray/serve/_private/replica.py @@ -700,7 +700,7 @@ def _record_errors_and_metrics( logger.info( access_log_msg( method=http_method or "CALL", - route=http_route or call_method, + route=http_route if self._ingress and http_route else call_method, # Prefer the HTTP status code if it was populated. status=status_code or status_str, latency_ms=latency_ms, From 38e746513bcc1452093acc46ef367d5b9ac9bde4 Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Tue, 23 Sep 2025 17:22:27 -0700 Subject: [PATCH 1366/1566] [core] Output the error log on the driver side if the failed task will still retry (#56472) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit If the failed task will still retry, we should print the error log on the driver side; otherwise, it’s not necessary, since ray.get can retrieve it. This is for better observability. Note that this feature can be disabled by `export RAY_enable_output_error_log_if_still_retry=0`. Tried the example in the issue Before this PR: ``` 2025-09-11 22:45:16,569 INFO logging.py:295 -- Registered dataset logger for dataset dataset_2_0 2025-09-11 22:45:16,590 INFO streaming_executor.py:159 -- Starting execution of Dataset dataset_2_0. Full logs are in /tmp/ray/session_2025-09-11_22-44-45_753182_597098/logs/ray-data 2025-09-11 22:45:16,590 INFO streaming_executor.py:160 -- Execution plan of Dataset dataset_2_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadRange] -> ActorPoolMapOperator[MapBatches(Embed)] Running 0: 0.00 row [00:00, ? row/s][2025-09-11 22:45:16,626 E 597098 597098] core_worker.cc:2151: Actor with class name: 'MapWorker(MapBatches(Embed))' and ID: '80871f7866b6f8a9cd68308801000000' has constructor arguments in the object store and max_restarts > 0. If the arguments in the object store go out of scope or are lost, the actor restart will fail. See https://github.com/ray-project/ray/issues/53727 for more details. - ReadRange->SplitBlocks(256) 1: 0.00 row [00:00, ? row/s] - MapBatches(E2025-09-11 22:45:16,6280, ? WARNING resource_manager.py:134 -- ⚠️ Ray's object store is configured to use only 10.2% of available memory (186.3GiB out of 1823.1GiB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable. Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 10.0B/93.1GB object store: : 0.00 row [00:01, ? Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 10.0B/93.1GB object store: : 0.00 row [00:01, ? Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 10.0B/93.1GB object store: : 0.00 row [00:01, ? row/s] - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 10.0B object store: : 0.00 row [00:01, ? row/s - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 10.0B object store: : 1.00 row [00:01, 1.03s/ - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 10.0B object store: : 1.00 row [00:01, 1.03s/ row] - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/7 objects local]: : 0.00 row [00:0 - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/7 objects local]: : 0.00 row [00:0 - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/7 objects local]: - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 9.0B object store: : 1.00 row [00:02, 1.03s/ r - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 9.0B object store: : 1.00 row [00:02, 1.03s/ r ow] - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/27 objects local] : : 0.00 row [00: - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 row [00:02, ? rRunning Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 row [00:02, ? row/s] - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/49 objects local] : : 0.00 row [00: - MapBatches(Embe Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: : 0.00 row [00:03, ? rRunning Dataset: Running Dataset: - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store: : 1.00 row [00:03, 1.03s/ r - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store: : 1.00 row [02025-09-11 22:45:20,489 INFO streaming_executor.py:279 -- ✔️ Dataset dataset_2_0 execution finished in 3.90 seconds ✔️ Dataset datas - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store: : 1.00 row [00:03, 1.03s/ r - ReadRange->SplitBlocks(256): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 0.0B object store: : 1.00 row [00:03, 1.03s/ r - ReadRange->Spli - ReadRange->Spli - MapBatches(Embe ``` After this pr: ``` /workspace/ray/python/ray/_private/worker.py:1987: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 warnings.warn( 2025-09-19 21:18:58,059 INFO logging.py:295 -- Registered dataset logger for dataset dataset_2_0 2025-09-19 21:18:58,101 INFO streaming_executor.py:159 -- Starting execution of Dataset dataset_2_0. Full logs are in /tmp/ray/session_2025-09-19_21-18-47_658581_2956326/logs/ray-data 2025-09-19 21:18:58,101 INFO streaming_executor.py:160 -- Execution plan of Dataset dataset_2_0: InputDataBuffer[Input] -> TaskPoolMapOperator[ReadRange] -> ActorPoolMapOperator[MapBatches(Embed)] Running 0: 0.00 row [00:00, ? row/s][2025-09-19 21:18:58,205 E 2956326 2956326] core_worker.cc:2151: Actor with class name: 'MapWorker(MapBatches(Embed))' and ID: 'f1a874d3f4dd2fd81467ccf101000000' has constructor arguments in the object store and max_restarts > 0. If the arguments in the object store go out of scope or are lost, the actor restart will fail. See https://github.com/ray-project/ray/issues/53727 for more details. 2025-09-19 21:18:58,211 WARNING resource_manager.py:134 -- ⚠️ Ray's object store is configured to use only 10.2% of available memory (186.3GiB out of 1824.3GiB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable. Running Dataset: dataset_2_0. Active & requested resources: 1/128 CPU, 256.0MB/93.1GB object store (pendingRunning Dataset: dataset_2_0. Active & requested resources: 1/128 CPU, 256.0MB/93.1GB object store (pending: 1 CPU): : 0.00 row [00:01, ? row/s] - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 256.0MB object st - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 256.0MB object st ore: : 0.00 row [00:01, ? row/s] : 1 (running=0, restarting=0, pending=1); Queued blocks: 0; Resources: (raylet) Task MapWorker(MapBatches(Embed)).submit failed. There are infinite retries remaining, so the task will be retried. Error: User exception: nner/plan_udf_map_op.py", line 486, in transform_fn res = fn(batch) ^^^^^^^^^ File "/workspace/ray/python/ray/data/_internal/planner/plan_udf_map_op.py", line 386, in _wrapped_udf_map_fn _try_wrap_udf_exception(e) File "/workspace/ray/python/ray/data/_internal/planner/plan_udf_map_op.py", line 410, in _try_wrap_udf_exception raise UserCodeException("UDF failed to process a data block.") from e ray.exceptions.UserCodeException: UDF failed to process a data block. Running Dataset: dataset_2_0. Active & requested resources: 1/128 CPU, 256.0MB/93.1GB object store (pending: 1 CPU): : 0.00 row [00:01, ? row/s] - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 256.0MB object st Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 rowRunning Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 rowRunning Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 row [00:02, ? row/s] - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 9.0B object store - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 9.0B object store - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 9.0B object store : : 1.00 row [00:02, 2.10s/ row] - MapBatches(Embed): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/13 ob Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 9.0B/93.1GB object store: : 0.00 row [00:03, ? row/s]d): Tasks: 3; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/13 ob - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 8.0B object store - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 8.0B object store : : 1.00 row [00:03, 2.10s/ row] Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: : 0.00 rowRunning Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: 0%| | 0.Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: 100%|█| 1. - MapBatches(Embed): Tasks: 2; Actors: 1; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/65 ob - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: 100%|█| 1. Running Dataset: dataset_2_0. Active & requested resources: 2/128 CPU, 0.0B/93.1GB object store: 100%|█| 1. - ReadRange->SplitBlocks(256): T2025-09-19 21:19:05,248uINFO streaming_executor.py:279 -- ✔️ Dataset dataset_2_0 execution finished in 7.14 seconds; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/201 o ✔️ Dataset dataset_2_0 execution finished in 7.14 seconds: 100%|█████| 1.00/1.00 [00:07<00:00, 7.14s/ row] - ReadRange->SplitBlocks(256): Tasks: 1; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store - ReadRange->SplitBlocks(256): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 0.0B object store - ReadRange->SplitBlocks(256): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 0.0B object store - MapBatches(Embed): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 1.0 CPU, 0.0B object store; [0/256 o (raylet) Task MapWorker(MapBatches(Embed)).submit failed. There are infinite retries remaining, so the task will be retried. Error: User exception: nner/plan_udf_map_op.py", line 486, in transform_fn res = fn(batch) ^^^^^^^^^ File "/workspace/ray/python/ray/data/_internal/planner/plan_udf_map_op.py", line 386, in _wrapped_udf_map_fn _try_wrap_udf_exception(e) File "/workspace/ray/python/ray/data/_internal/planner/plan_udf_map_op.py", line 410, in _try_wrap_udf_exception raise UserCodeException("UDF failed to process a data block.") from e ray.exceptions.UserCodeException: UDF failed to process a data block. ``` Signed-off-by: Douglas Strodtman --- src/ray/common/ray_config_def.h | 4 + src/ray/core_worker/task_manager.cc | 27 ++- .../core_worker/tests/task_manager_test.cc | 165 ++++++++++++++++++ 3 files changed, 195 insertions(+), 1 deletion(-) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 2c13df2422b8..ce1f8947ba95 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -967,3 +967,7 @@ RAY_CONFIG(int64_t, worker_num_grpc_internal_threads, 0) // Whether to start a background thread to manage Python GC in workers. RAY_CONFIG(bool, start_python_gc_manager_thread, true) + +// Whether to enable the feature of outputting error log if the task is +// still retryable. +RAY_CONFIG(bool, enable_output_error_log_if_still_retry, true) diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index ca5a08b64dc0..e5aff280b361 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -1204,7 +1204,32 @@ bool TaskManager::RetryTaskIfPossible(const TaskID &task_id, rpc::TaskStatus::FAILED, worker::TaskStatusEvent::TaskStateUpdate(error_info)); task_entry.MarkRetry(); - + // Push the error to the driver if the task will still retry. + bool enable_output_error_log_if_still_retry = + RayConfig::instance().enable_output_error_log_if_still_retry(); + if (enable_output_error_log_if_still_retry) { + std::string num_retries_left_str; + if (task_failed_due_to_oom) { + num_retries_left_str = num_oom_retries_left == -1 + ? "infinite" + : std::to_string(num_oom_retries_left); + } else { + num_retries_left_str = + num_retries_left == -1 ? "infinite" : std::to_string(num_retries_left); + } + auto error_message = "Task " + spec.FunctionDescriptor()->CallString() + + " failed. There are " + num_retries_left_str + + " retries remaining, so the task will be retried. Error: " + + error_info.error_message(); + Status push_error_status = + push_error_callback_(task_entry.spec_.JobId(), + rpc::ErrorType_Name(error_info.error_type()), + error_message, + current_time_ms()); + if (!push_error_status.ok()) { + RAY_LOG(ERROR) << "Failed to push error to driver for task " << spec.TaskId(); + } + } // Mark the new status and also include task spec info for the new attempt. SetTaskStatus(task_entry, rpc::TaskStatus::PENDING_ARGS_AVAIL, diff --git a/src/ray/core_worker/tests/task_manager_test.cc b/src/ray/core_worker/tests/task_manager_test.cc index ad2a9596e493..6a1db760c7ac 100644 --- a/src/ray/core_worker/tests/task_manager_test.cc +++ b/src/ray/core_worker/tests/task_manager_test.cc @@ -2963,6 +2963,171 @@ TEST_F(PlasmaShutdownRaceTest, PlasmaCallbackHandlesShutdownRaceCondition) { ASSERT_EQ(tolerated_operations_.count(object_id4), 1); } +// Test that error message is sent to push_error_callback when task fails and will be +// retried +TEST_F(TaskManagerTest, TestRetryErrorMessageSentToCallback) { + std::string captured_error_message; + std::string captured_error_type; + + // Create a TaskManager with a custom push_error_callback that captures the message + auto capturing_push_error_callback = [&captured_error_message, &captured_error_type]( + const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) { + captured_error_type = type; + captured_error_message = error_message; + return Status::OK(); + }; + + auto local_reference_counter = std::make_shared( + addr_, + publisher_.get(), + subscriber_.get(), + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, + false); + auto local_store = std::make_shared( + io_context_.GetIoService(), local_reference_counter.get()); + + TaskManager test_manager( + *local_store, + *local_reference_counter, + [this](const RayObject &object, const ObjectID &object_id) { + stored_in_plasma.insert(object_id); + return Status::OK(); + }, + [this](TaskSpecification &spec, uint32_t delay_ms) { + num_retries_++; + last_delay_ms_ = delay_ms; + }, + [this](const TaskSpecification &spec) { + return this->did_queue_generator_resubmit_; + }, + capturing_push_error_callback, // This will capture the error message + 1024 * 1024 * 1024, + *task_event_buffer_mock_.get(), + [](const ActorID &actor_id) + -> std::shared_ptr { return nullptr; }, + mock_gcs_client_, + fake_task_by_state_counter_); + + // Create a task with retries enabled + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + spec.GetMutableMessage().set_max_retries(2); // Allow 2 retries + int num_retries = 2; + + test_manager.AddPendingTask(caller_address, spec, "", num_retries); + ASSERT_TRUE(test_manager.IsTaskPending(spec.TaskId())); + + NodeID node_id = NodeID::FromRandom(); + WorkerID worker_id = WorkerID::FromRandom(); + test_manager.MarkDependenciesResolved(spec.TaskId()); + test_manager.MarkTaskWaitingForExecution(spec.TaskId(), node_id, worker_id); + + // Fail the task which should trigger a retry + rpc::RayErrorInfo error_info; + error_info.set_error_type(rpc::ErrorType::WORKER_DIED); + error_info.set_error_message("Worker crashed during task execution"); + + bool will_retry = test_manager.RetryTaskIfPossible(spec.TaskId(), error_info); + ASSERT_TRUE(will_retry); // Should retry + + // Verify that the expected retry message was sent to the callback + EXPECT_THAT(captured_error_message, + testing::HasSubstr( + "There are 1 retries remaining, so the task will be retried. Error:")); + EXPECT_THAT(captured_error_message, + testing::HasSubstr("Worker crashed during task execution")); + EXPECT_EQ(captured_error_type, "WORKER_DIED"); + + // Cleanup + test_manager.FailPendingTask(spec.TaskId(), rpc::ErrorType::WORKER_DIED); +} + +#if GTEST_HAS_STREAM_REDIRECTION +// Test that error log is printed when push_error_callback fails +TEST_F(TaskManagerTest, TestErrorLogWhenPushErrorCallbackFails) { + using testing::internal::CaptureStderr; + using testing::internal::GetCapturedStderr; + + // Create a TaskManager with a failing push_error_callback + auto failing_push_error_callback = [](const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) { + return Status::IOError("Failed to push error to driver"); + }; + + auto local_reference_counter = std::make_shared( + addr_, + publisher_.get(), + subscriber_.get(), + /*is_node_dead=*/[this](const NodeID &) { return node_died_; }, + false); + auto local_store = std::make_shared( + io_context_.GetIoService(), local_reference_counter.get()); + + TaskManager test_manager( + *local_store, + *local_reference_counter, + [this](const RayObject &object, const ObjectID &object_id) { + stored_in_plasma.insert(object_id); + return Status::OK(); + }, + [this](TaskSpecification &spec, uint32_t delay_ms) { + num_retries_++; + last_delay_ms_ = delay_ms; + }, + [this](const TaskSpecification &spec) { + return this->did_queue_generator_resubmit_; + }, + failing_push_error_callback, // This will fail + 1024 * 1024 * 1024, + *task_event_buffer_mock_.get(), + [](const ActorID &actor_id) + -> std::shared_ptr { return nullptr; }, + mock_gcs_client_, + fake_task_by_state_counter_); + + // Create a task that will be retried + rpc::Address caller_address; + auto spec = CreateTaskHelper(1, {}); + spec.GetMutableMessage().set_max_retries(1); + int num_retries = 1; + + test_manager.AddPendingTask(caller_address, spec, "", num_retries); + ASSERT_TRUE(test_manager.IsTaskPending(spec.TaskId())); + + NodeID node_id = NodeID::FromRandom(); + WorkerID worker_id = WorkerID::FromRandom(); + test_manager.MarkDependenciesResolved(spec.TaskId()); + test_manager.MarkTaskWaitingForExecution(spec.TaskId(), node_id, worker_id); + + // Capture stderr to check for error log + CaptureStderr(); + + // Fail the task which should trigger a retry and call push_error_callback + rpc::RayErrorInfo error_info; + error_info.set_error_type(rpc::ErrorType::WORKER_DIED); + error_info.set_error_message("Worker crashed during task execution"); + + bool will_retry = test_manager.RetryTaskIfPossible(spec.TaskId(), error_info); + ASSERT_TRUE(will_retry); // Should retry + + // Get the captured stderr output + std::string stderr_output = GetCapturedStderr(); + + // Verify that the expected error log message is present + std::string expected_log_message = + "Failed to push error to driver for task " + spec.TaskId().Hex(); + EXPECT_THAT(stderr_output, testing::HasSubstr(expected_log_message)); + + // Cleanup + test_manager.FailPendingTask(spec.TaskId(), rpc::ErrorType::WORKER_DIED); +} +#endif // GTEST_HAS_STREAM_REDIRECTION + } // namespace core } // namespace ray From 894c6a204f2278436652387cbf8fcc55b2a3b13b Mon Sep 17 00:00:00 2001 From: Balaji Veeramani Date: Tue, 23 Sep 2025 17:49:00 -0700 Subject: [PATCH 1367/1566] [Data] Add descriptive error if user tries to download from invalid column (#56852) ## Why are these changes needed? **Before** > KeyError: 'Field "eggs" does not exist in schema' **After** > ValueError: Ray Data tried to download URIs in a column named 'eggs', but a column with that name doesn't exist. Is the specified download column correct? ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Balaji Veeramani Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/planner/plan_download_op.py | 7 +++++++ python/ray/data/tests/test_download_expression.py | 2 +- 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/planner/plan_download_op.py b/python/ray/data/_internal/planner/plan_download_op.py index 2a0c3306d326..9f9194e24acd 100644 --- a/python/ray/data/_internal/planner/plan_download_op.py +++ b/python/ray/data/_internal/planner/plan_download_op.py @@ -244,6 +244,13 @@ def get_file_size(uri_path, fs): return file_sizes def __call__(self, block: pa.Table) -> Iterator[pa.Table]: + if self._uri_column_name not in block.column_names: + raise ValueError( + "Ray Data tried to download URIs from a column named " + f"{self._uri_column_name!r}, but a column with that name doesn't " + "exist. Is the specified download column correct?" + ) + if not isinstance(block, pa.Table): block = BlockAccessor.for_block(block).to_arrow() diff --git a/python/ray/data/tests/test_download_expression.py b/python/ray/data/tests/test_download_expression.py index 2c593190de11..af97294244a1 100644 --- a/python/ray/data/tests/test_download_expression.py +++ b/python/ray/data/tests/test_download_expression.py @@ -221,7 +221,7 @@ def test_download_expression_invalid_uri_column(self): ds_with_downloads = ds.with_column("bytes", download("non_existent_column")) # Should raise error when trying to execute - with pytest.raises(Exception): # Could be KeyError or similar + with pytest.raises(ValueError): ds_with_downloads.take_all() def test_download_expression_with_null_uris(self): From dac5d51e2a952aade829af0fb3f7001873ceac0b Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Wed, 24 Sep 2025 06:54:09 +0530 Subject: [PATCH 1368/1566] [core] Reorder asyncio actor shutdown to terminate asyncio thread first (#56827) Reorder asyncio actor shutdown: terminate the asyncio thread first, then call the Python `actor_shutdown_callback_()`, then stop C++ services. This maintains the actor ref-drain bypass and avoids coroutines accessing torn-down C++ state. --------- Signed-off-by: Sagar Sumit Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 11 +++--- python/ray/includes/libcoreworker.pxd | 1 - src/ray/core_worker/core_worker_options.h | 3 -- .../core_worker_shutdown_executor.cc | 35 ++++++------------- .../core_worker_shutdown_executor.h | 10 ++---- src/ray/core_worker/shutdown_coordinator.cc | 5 +-- src/ray/core_worker/shutdown_coordinator.h | 6 +--- .../tests/shutdown_coordinator_test.cc | 17 ++------- 8 files changed, 23 insertions(+), 65 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 995a417b472f..4b2f7ebc3e8e 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2768,15 +2768,13 @@ cdef shared_ptr[CBuffer] string_to_buffer(c_string& c_str): (c_str.data()), c_str.size(), True)) -cdef void terminate_asyncio_thread() nogil: - with gil: - core_worker = ray._private.worker.global_worker.core_worker - core_worker.stop_and_join_asyncio_threads_if_exist() - - cdef void call_actor_shutdown() noexcept nogil: """C++ wrapper function that calls the Python actor shutdown callback.""" with gil: + core_worker = ray._private.worker.global_worker.core_worker + if core_worker.current_actor_is_asyncio(): + core_worker.stop_and_join_asyncio_threads_if_exist() + _call_actor_shutdown() @@ -3049,7 +3047,6 @@ cdef class CoreWorker: options.get_lang_stack = get_py_stack options.is_local_mode = local_mode options.kill_main = kill_main_task - options.terminate_asyncio_thread = terminate_asyncio_thread options.actor_shutdown_callback = call_actor_shutdown options.serialized_job_config = serialized_job_config options.metrics_agent_port = metrics_agent_port diff --git a/python/ray/includes/libcoreworker.pxd b/python/ray/includes/libcoreworker.pxd index 98ec283bbe81..16aaa749ad28 100644 --- a/python/ray/includes/libcoreworker.pxd +++ b/python/ray/includes/libcoreworker.pxd @@ -429,7 +429,6 @@ cdef extern from "ray/core_worker/core_worker.h" nogil: int num_workers (c_bool(const CTaskID &) nogil) kill_main CCoreWorkerOptions() - (void() nogil) terminate_asyncio_thread c_string serialized_job_config int metrics_agent_port int runtime_env_hash diff --git a/src/ray/core_worker/core_worker_options.h b/src/ray/core_worker/core_worker_options.h index 99fd56d65443..d0b4dce54261 100644 --- a/src/ray/core_worker/core_worker_options.h +++ b/src/ray/core_worker/core_worker_options.h @@ -97,7 +97,6 @@ struct CoreWorkerOptions { cancel_async_actor_task(nullptr), actor_shutdown_callback(nullptr), is_local_mode(false), - terminate_asyncio_thread(nullptr), serialized_job_config(""), metrics_agent_port(-1), runtime_env_hash(0), @@ -177,8 +176,6 @@ struct CoreWorkerOptions { std::function actor_shutdown_callback; /// Is local mode being used. bool is_local_mode; - /// The function to destroy asyncio event and loops. - std::function terminate_asyncio_thread; /// Serialized representation of JobConfig. std::string serialized_job_config; /// The port number of a metrics agent that imports metrics from core workers. diff --git a/src/ray/core_worker/core_worker_shutdown_executor.cc b/src/ray/core_worker/core_worker_shutdown_executor.cc index 6b1d66ddc836..41e2244a1f63 100644 --- a/src/ray/core_worker/core_worker_shutdown_executor.cc +++ b/src/ray/core_worker/core_worker_shutdown_executor.cc @@ -32,25 +32,18 @@ void CoreWorkerShutdownExecutor::ExecuteGracefulShutdown( std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) { - RAY_LOG(INFO) << "Executing graceful shutdown: " << exit_type << " - " << detail - << " (timeout: " << timeout_ms.count() << "ms)"; - - // For actors, perform cleanup before shutdown proceeds. - if (!core_worker_->worker_context_->GetCurrentActorID().IsNil() && - core_worker_->actor_shutdown_callback_) { - RAY_LOG(INFO) << "Calling actor shutdown callback before shutdown"; - core_worker_->actor_shutdown_callback_(); - } + RAY_LOG(DEBUG) << "Executing graceful shutdown: " << exit_type << " - " << detail + << " (timeout: " << timeout_ms.count() << "ms)"; if (core_worker_->options_.worker_type == WorkerType::WORKER) { - // Running in a main thread. - // Asyncio coroutines could still run after CoreWorker is removed because it is - // running in a different thread. This can cause segfault because coroutines try to - // access CoreWorker methods that are already garbage collected. We should complete - // all coroutines before shutting down in order to prevent this. - if (core_worker_->worker_context_->CurrentActorIsAsync()) { - core_worker_->options_.terminate_asyncio_thread(); + if (!core_worker_->worker_context_->GetCurrentActorID().IsNil()) { + RAY_CHECK(core_worker_->actor_shutdown_callback_) + << "actor_shutdown_callback_ must be set for actor workers"; + RAY_LOG(DEBUG) << "Calling actor shutdown callback"; + core_worker_->actor_shutdown_callback_(); } + + // Actor shutdown callback has run; stop task execution service next. core_worker_->task_execution_service_.stop(); } @@ -93,12 +86,6 @@ void CoreWorkerShutdownExecutor::ExecuteForceShutdown(std::string_view exit_type QuickExit(); } -void CoreWorkerShutdownExecutor::ExecuteWorkerExit(std::string_view exit_type, - std::string_view detail, - std::chrono::milliseconds timeout_ms) { - ExecuteExit(exit_type, detail, timeout_ms, nullptr); -} - void CoreWorkerShutdownExecutor::ExecuteExit( std::string_view exit_type, std::string_view detail, @@ -191,7 +178,7 @@ void CoreWorkerShutdownExecutor::ExecuteExit( core_worker_->task_manager_->DrainAndShutdown(drain_references_callback); } -void CoreWorkerShutdownExecutor::ExecuteHandleExit(std::string_view exit_type, +void CoreWorkerShutdownExecutor::ExecuteExitIfIdle(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) { RAY_LOG(INFO) << "Executing handle exit: " << exit_type << " - " << detail @@ -203,7 +190,7 @@ void CoreWorkerShutdownExecutor::ExecuteHandleExit(std::string_view exit_type, actual_timeout = std::chrono::milliseconds{10000}; // 10s default } - ExecuteWorkerExit(exit_type, detail, actual_timeout); + ExecuteExit(exit_type, detail, actual_timeout, nullptr); } else { RAY_LOG(INFO) << "Worker not idle, ignoring exit request: " << detail; } diff --git a/src/ray/core_worker/core_worker_shutdown_executor.h b/src/ray/core_worker/core_worker_shutdown_executor.h index 9617f0c1564f..fe1abd3a920a 100644 --- a/src/ray/core_worker/core_worker_shutdown_executor.h +++ b/src/ray/core_worker/core_worker_shutdown_executor.h @@ -15,7 +15,6 @@ #pragma once #include -#include #include #include "ray/core_worker/shutdown_coordinator.h" @@ -69,20 +68,15 @@ class CoreWorkerShutdownExecutor : public ShutdownExecutorInterface { /// Execute worker exit sequence with task draining. /// Drains tasks/references as applicable for worker mode, then performs /// graceful shutdown. - void ExecuteWorkerExit(std::string_view exit_type, - std::string_view detail, - std::chrono::milliseconds timeout_ms) override; - void ExecuteExit(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms, const std::shared_ptr &creation_task_exception_pb_bytes) override; - /// Execute handle exit sequence with idle checking. - /// Only performs worker exit if the worker is currently idle; otherwise, it + /// Execute exit sequence only if the worker is currently idle; otherwise, it /// logs and returns without action. - void ExecuteHandleExit(std::string_view exit_type, + void ExecuteExitIfIdle(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) override; diff --git a/src/ray/core_worker/shutdown_coordinator.cc b/src/ray/core_worker/shutdown_coordinator.cc index 61a25cd96405..bf113ad6b740 100644 --- a/src/ray/core_worker/shutdown_coordinator.cc +++ b/src/ray/core_worker/shutdown_coordinator.cc @@ -223,11 +223,12 @@ void ShutdownCoordinator::ExecuteWorkerShutdown( reason == ShutdownReason::kOutOfMemory || reason == ShutdownReason::kActorKilled) { TryTransitionToDisconnecting(); - executor_->ExecuteWorkerExit(GetExitTypeString(), detail, timeout_ms); + executor_->ExecuteExit( + GetExitTypeString(), detail, timeout_ms, creation_task_exception_pb_bytes); } else if (reason == ShutdownReason::kIdleTimeout || reason == ShutdownReason::kJobFinished) { TryTransitionToDisconnecting(); - executor_->ExecuteHandleExit(GetExitTypeString(), detail, timeout_ms); + executor_->ExecuteExitIfIdle(GetExitTypeString(), detail, timeout_ms); } else { ExecuteGracefulShutdown(detail, timeout_ms); } diff --git a/src/ray/core_worker/shutdown_coordinator.h b/src/ray/core_worker/shutdown_coordinator.h index a7585016c036..45a5ada7460f 100644 --- a/src/ray/core_worker/shutdown_coordinator.h +++ b/src/ray/core_worker/shutdown_coordinator.h @@ -43,17 +43,13 @@ class ShutdownExecutorInterface { virtual void ExecuteForceShutdown(std::string_view exit_type, std::string_view detail) = 0; - virtual void ExecuteWorkerExit(std::string_view exit_type, - std::string_view detail, - std::chrono::milliseconds timeout_ms) = 0; - virtual void ExecuteExit(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms, const std::shared_ptr<::ray::LocalMemoryBuffer> &creation_task_exception_pb_bytes) = 0; - virtual void ExecuteHandleExit(std::string_view exit_type, + virtual void ExecuteExitIfIdle(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) = 0; diff --git a/src/ray/core_worker/tests/shutdown_coordinator_test.cc b/src/ray/core_worker/tests/shutdown_coordinator_test.cc index 9d18f8f7030d..50a7d755bb41 100644 --- a/src/ray/core_worker/tests/shutdown_coordinator_test.cc +++ b/src/ray/core_worker/tests/shutdown_coordinator_test.cc @@ -73,16 +73,6 @@ class FakeShutdownExecutor : public ShutdownExecutorInterface { last_detail = std::string(detail); } } - void ExecuteWorkerExit(std::string_view exit_type, - std::string_view detail, - std::chrono::milliseconds timeout_ms) override { - worker_exit_calls++; - { - absl::MutexLock lk(&mu_); - last_exit_type = std::string(exit_type); - last_detail = std::string(detail); - } - } void ExecuteExit(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms, @@ -95,7 +85,7 @@ class FakeShutdownExecutor : public ShutdownExecutorInterface { last_detail = std::string(detail); } } - void ExecuteHandleExit(std::string_view exit_type, + void ExecuteExitIfIdle(std::string_view exit_type, std::string_view detail, std::chrono::milliseconds timeout_ms) override { handle_exit_calls++; @@ -116,14 +106,11 @@ class NoOpShutdownExecutor : public ShutdownExecutorInterface { std::string_view, std::chrono::milliseconds) override {} void ExecuteForceShutdown(std::string_view, std::string_view) override {} - void ExecuteWorkerExit(std::string_view, - std::string_view, - std::chrono::milliseconds) override {} void ExecuteExit(std::string_view, std::string_view, std::chrono::milliseconds, const std::shared_ptr<::ray::LocalMemoryBuffer> &) override {} - void ExecuteHandleExit(std::string_view, + void ExecuteExitIfIdle(std::string_view, std::string_view, std::chrono::milliseconds) override {} void KillChildProcessesImmediately() override {} From 3c2ceb4ab3a63936b5010d4ea7beef854200ffa6 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 23 Sep 2025 18:59:35 -0700 Subject: [PATCH 1369/1566] [tune] Enable Train v2 in doc examples (#56820) Flip the flag for Tune doctest CI in preparation for turning on Train V2 by default. This doesn't have any behavior change, but this asserts that ray.train -> ray.tune updates have all happened. Note that a few tests have been left behind due to Tune lightgbm and Keras callbacks not being updated yet. We need to do the equivalent of this PR: https://github.com/ray-project/ray/pull/54787 * `lightgbm_example` * `lightgbm_example_cv` * `tune_mnist_keras` Deletes `horovod_simple.ipynb` example because we don't support `HorovodTrainer` anymore. --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 2 + doc/source/tune/api/env.rst | 2 +- doc/source/tune/examples/BUILD.bazel | 5 +- doc/source/tune/examples/ax_example.ipynb | 1852 ++++++++-------- doc/source/tune/examples/horovod_simple.ipynb | 214 -- doc/source/tune/examples/index.rst | 2 - doc/source/tune/examples/pbt_guide.ipynb | 2 +- doc/source/tune/examples/tune-comet.ipynb | 535 ++--- .../tune/examples/tune-pytorch-cifar.ipynb | 2 +- .../examples/tune-pytorch-lightning.ipynb | 948 +-------- .../tune-vanilla-pytorch-lightning.ipynb | 4 +- doc/source/tune/examples/tune-xgboost.ipynb | 1876 ++++++++--------- doc/source/tune/faq.rst | 12 +- doc/source/tune/tutorials/tune-lifecycle.rst | 2 +- doc/source/tune/tutorials/tune-output.rst | 2 +- doc/source/tune/tutorials/tune-resources.rst | 3 - .../tune/tutorials/tune-search-spaces.rst | 5 +- doc/source/tune/tutorials/tune-stopping.rst | 4 +- .../tune/tutorials/tune-trial-checkpoints.rst | 4 +- .../tutorials/tune_get_data_in_and_out.md | 4 +- 20 files changed, 2117 insertions(+), 3363 deletions(-) delete mode 100644 doc/source/tune/examples/horovod_simple.ipynb diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 5d7c3d17cc4d..d23fd8382881 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -362,6 +362,7 @@ py_test_run_all_subdirectory( "exclusive", "team:ml", ], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, ) # -------------------------------------------------------------------- @@ -646,6 +647,7 @@ doctest( "source/tune/**/*.rst", ], tags = ["team:ml"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, ) filegroup( diff --git a/doc/source/tune/api/env.rst b/doc/source/tune/api/env.rst index a26e691df1f2..657ba6ef55b4 100644 --- a/doc/source/tune/api/env.rst +++ b/doc/source/tune/api/env.rst @@ -17,7 +17,7 @@ These are the environment variables Ray Tune currently considers: directories when the name is not specified explicitly or the trainable isn't passed as a string. Setting this environment variable to ``1`` disables adding these date strings. * **TUNE_DISABLE_STRICT_METRIC_CHECKING**: When you report metrics to Tune via - ``session.report()`` and passed a ``metric`` parameter to ``Tuner()``, a scheduler, + ``tune.report()`` and passed a ``metric`` parameter to ``Tuner()``, a scheduler, or a search algorithm, Tune will error if the metric was not reported in the result. Setting this environment variable to ``1`` will disable this check. diff --git a/doc/source/tune/examples/BUILD.bazel b/doc/source/tune/examples/BUILD.bazel index 70e3bb1b0e27..ba560bc6ba3c 100644 --- a/doc/source/tune/examples/BUILD.bazel +++ b/doc/source/tune/examples/BUILD.bazel @@ -20,8 +20,9 @@ py_test_run_all_notebooks( exclude = [ "pbt_ppo_example.ipynb", "tune-xgboost.ipynb", + "lightgbm_example.ipynb", # TODO: [V2] Remove after fixing Tune lightgbm callback. + "tune_mnist_keras.ipynb", # TODO: [V2] Remove after fixing Tune keras callback. "pbt_transformers.ipynb", # Transformers uses legacy Tune APIs. - "horovod_simple.ipynb", # CI do not have Horovod "tune-aim.ipynb", # CI does not have `aim` "bohb_example.ipynb", # CI does not have bohb requirements ], @@ -29,6 +30,7 @@ py_test_run_all_notebooks( "exclusive", "team:ml", ], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, ) # GPU tests @@ -42,4 +44,5 @@ py_test_run_all_notebooks( "gpu", "team:ml", ], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, ) diff --git a/doc/source/tune/examples/ax_example.ipynb b/doc/source/tune/examples/ax_example.ipynb index f9a32597589e..e35fb63237ac 100644 --- a/doc/source/tune/examples/ax_example.ipynb +++ b/doc/source/tune/examples/ax_example.ipynb @@ -1,928 +1,928 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "47de02e1", - "metadata": {}, - "source": [ - "# Running Tune experiments with AxSearch\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    \n", - "\n", - "In this tutorial we introduce Ax, while running a simple Ray Tune experiment. Tune’s Search Algorithms integrate with Ax and, as a result, allow you to seamlessly scale up a Ax optimization process - without sacrificing performance.\n", - "\n", - "Ax is a platform for optimizing any kind of experiment, including machine learning experiments, A/B tests, and simulations. Ax can optimize discrete configurations (e.g., variants of an A/B test) using multi-armed bandit optimization, and continuous/ordered configurations (e.g. float/int parameters) using Bayesian optimization. Results of A/B tests and simulations with reinforcement learning agents often exhibit high amounts of noise. Ax supports state-of-the-art algorithms which work better than traditional Bayesian optimization in high-noise settings. Ax also supports multi-objective and constrained optimization which are common to real-world problems (e.g. improving load time without increasing data use). Ax belongs to the domain of \"derivative-free\" and \"black-box\" optimization.\n", - "\n", - "In this example we minimize a simple objective to briefly demonstrate the usage of AxSearch with Ray Tune via `AxSearch`. It's useful to keep in mind that despite the emphasis on machine learning experiments, Ray Tune optimizes any implicit or explicit objective. Here we assume `ax-platform==0.2.4` library is installed withe python version >= 3.7. To learn more, please refer to the [Ax website](https://ax.dev/)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "297d8b18", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: ax-platform==0.2.4 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (0.2.4)\n", - "Requirement already satisfied: botorch==0.6.2 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (0.6.2)\n", - "Requirement already satisfied: jinja2 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (3.0.3)\n", - "Requirement already satisfied: pandas in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (1.3.5)\n", - "Requirement already satisfied: scipy in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (1.4.1)\n", - "Requirement already satisfied: plotly in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (5.6.0)\n", - "Requirement already satisfied: scikit-learn in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (0.24.2)\n", - "Requirement already satisfied: typeguard in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (2.13.3)\n", - "Requirement already satisfied: gpytorch>=1.6 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (1.6.0)\n", - "Requirement already satisfied: torch>=1.9 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (1.9.0)\n", - "Requirement already satisfied: multipledispatch in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (0.6.0)\n", - "Requirement already satisfied: MarkupSafe>=2.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from jinja2->ax-platform==0.2.4) (2.0.1)\n", - "Requirement already satisfied: pytz>=2017.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (2022.1)\n", - "Requirement already satisfied: numpy>=1.17.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (1.21.6)\n", - "Requirement already satisfied: python-dateutil>=2.7.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (2.8.2)\n", - "Requirement already satisfied: tenacity>=6.2.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from plotly->ax-platform==0.2.4) (8.0.1)\n", - "Requirement already satisfied: six in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from plotly->ax-platform==0.2.4) (1.16.0)\n", - "Requirement already satisfied: joblib>=0.11 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from scikit-learn->ax-platform==0.2.4) (1.1.0)\n", - "Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from scikit-learn->ax-platform==0.2.4) (3.0.0)\n", - "Requirement already satisfied: typing-extensions in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from torch>=1.9->botorch==0.6.2->ax-platform==0.2.4) (4.1.1)\n", - "\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n", - "\u001b[0m" - ] - } - ], - "source": [ - "# !pip install ray[tune]\n", - "!pip install ax-platform==0.2.4" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "59b1e0d1", - "metadata": {}, - "source": [ - "Click below to see all the imports we need for this example." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "cbae6dbe", - "metadata": { - "tags": [ - "hide-input" - ] - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import time\n", - "\n", - "import ray\n", - "from ray import tune\n", - "from ray.tune.search.ax import AxSearch" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "7b2b6af7", - "metadata": {}, - "source": [ - "Let's start by defining a classic benchmark for global optimization.\n", - "The form here is explicit for demonstration, yet it is typically a black-box.\n", - "We artificially sleep for a bit (`0.02` seconds) to simulate a long-running ML experiment.\n", - "This setup assumes that we're running multiple `step`s of an experiment and try to tune 6-dimensions of the `x` hyperparameter." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "0f7fbe0f", - "metadata": {}, - "outputs": [], - "source": [ - "def landscape(x):\n", - " \"\"\"\n", - " Hartmann 6D function containing 6 local minima.\n", - " It is a classic benchmark for developing global optimization algorithms.\n", - " \"\"\"\n", - " alpha = np.array([1.0, 1.2, 3.0, 3.2])\n", - " A = np.array(\n", - " [\n", - " [10, 3, 17, 3.5, 1.7, 8],\n", - " [0.05, 10, 17, 0.1, 8, 14],\n", - " [3, 3.5, 1.7, 10, 17, 8],\n", - " [17, 8, 0.05, 10, 0.1, 14],\n", - " ]\n", - " )\n", - " P = 10 ** (-4) * np.array(\n", - " [\n", - " [1312, 1696, 5569, 124, 8283, 5886],\n", - " [2329, 4135, 8307, 3736, 1004, 9991],\n", - " [2348, 1451, 3522, 2883, 3047, 6650],\n", - " [4047, 8828, 8732, 5743, 1091, 381],\n", - " ]\n", - " )\n", - " y = 0.0\n", - " for j, alpha_j in enumerate(alpha):\n", - " t = 0\n", - " for k in range(6):\n", - " t += A[j, k] * ((x[k] - P[j, k]) ** 2)\n", - " y -= alpha_j * np.exp(-t)\n", - " return y" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "0b1ae9df", - "metadata": {}, - "source": [ - "Next, our `objective` function takes a Tune `config`, evaluates the `landscape` of our experiment in a training loop,\n", - "and uses `tune.report` to report the `landscape` back to Tune." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8c3f252e", - "metadata": {}, - "outputs": [], - "source": [ - "def objective(config):\n", - " for i in range(config[\"iterations\"]):\n", - " x = np.array([config.get(\"x{}\".format(i + 1)) for i in range(6)])\n", - " tune.report(\n", - " {\"timesteps_total\": i, \"landscape\": landscape(x), \"l2norm\": np.sqrt((x ** 2).sum())}\n", - " )\n", - " time.sleep(0.02)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "d9982d95", - "metadata": {}, - "source": [ - "Next we define a search space. The critical assumption is that the optimal hyperparameters live within this space. Yet, if the space is very large, then those hyperparameters may be difficult to find in a short amount of time." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "30f75f5a", - "metadata": {}, - "outputs": [], - "source": [ - "search_space = {\n", - " \"iterations\":100,\n", - " \"x1\": tune.uniform(0.0, 1.0),\n", - " \"x2\": tune.uniform(0.0, 1.0),\n", - " \"x3\": tune.uniform(0.0, 1.0),\n", - " \"x4\": tune.uniform(0.0, 1.0),\n", - " \"x5\": tune.uniform(0.0, 1.0),\n", - " \"x6\": tune.uniform(0.0, 1.0)\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "106d8578", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [], - "source": [ - "ray.init(configure_logging=False)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "932f74e6", - "metadata": {}, - "source": [ - "Now we define the search algorithm from `AxSearch`. If you want to constrain your parameters or even the space of outcomes, that can be easily done by passing the argumentsas below." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "34dd5c95", - "metadata": {}, - "outputs": [], - "source": [ - "algo = AxSearch(\n", - " parameter_constraints=[\"x1 + x2 <= 2.0\"],\n", - " outcome_constraints=[\"l2norm <= 1.25\"],\n", - ")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "f6d18a99", - "metadata": {}, - "source": [ - "We also use `ConcurrencyLimiter` to constrain to 4 concurrent trials. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "dcd905ef", - "metadata": {}, - "outputs": [], - "source": [ - "algo = tune.search.ConcurrencyLimiter(algo, max_concurrent=4)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "10fd5427", - "metadata": {}, - "source": [ - "The number of samples is the number of hyperparameter combinations that will be tried out. This Tune run is set to `1000` samples.\n", - "You can decrease this if it takes too long on your machine, or you can set a time limit easily through `stop` argument in the `RunConfig()` as we will show here." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "c53349a5", - "metadata": {}, - "outputs": [], - "source": [ - "num_samples = 100\n", - "stop_timesteps = 200" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "6c661045", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [], - "source": [ - "# Reducing samples for smoke tests\n", - "num_samples = 10" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "91076c5a", - "metadata": {}, - "source": [ - "Finally, we run the experiment to find the global minimum of the provided landscape (which contains 5 false minima). The argument to metric, `\"landscape\"`, is provided via the `objective` function's `session.report`. The experiment `\"min\"`imizes the \"mean_loss\" of the `landscape` by searching within `search_space` via `algo`, `num_samples` times or when `\"timesteps_total\": stop_timesteps`. This previous sentence is fully characterizes the search problem we aim to solve. With this in mind, notice how efficient it is to execute `tuner.fit()`." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "2f519d63", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:18] ax.service.ax_client: Starting optimization with verbose logging. To disable logging, set the `verbose_logging` argument to `False`. Note that float values in the logs are rounded to 6 decimal points.\n", - "[INFO 07-22 15:04:18] ax.service.utils.instantiation: Created search space: SearchSpace(parameters=[FixedParameter(name='iterations', parameter_type=INT, value=100), RangeParameter(name='x1', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x2', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x3', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x4', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x5', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x6', parameter_type=FLOAT, range=[0.0, 1.0])], parameter_constraints=[ParameterConstraint(1.0*x1 + 1.0*x2 <= 2.0)]).\n", - "[INFO 07-22 15:04:18] ax.modelbridge.dispatch_utils: Using Bayesian optimization since there are more ordered parameters than there are categories for the unordered categorical parameters.\n", - "[INFO 07-22 15:04:18] ax.modelbridge.dispatch_utils: Using Bayesian Optimization generation strategy: GenerationStrategy(name='Sobol+GPEI', steps=[Sobol for 12 trials, GPEI for subsequent trials]). Iterations after 12 will take longer to generate due to model-fitting.\n", - "Detected sequential enforcement. Be sure to use a ConcurrencyLimiter.\n" - ] + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "47de02e1", + "metadata": {}, + "source": [ + "# Running Tune experiments with AxSearch\n", + "\n", + "\n", + " \"try-anyscale-quickstart\"\n", + "\n", + "

    \n", + "\n", + "In this tutorial we introduce Ax, while running a simple Ray Tune experiment. Tune’s Search Algorithms integrate with Ax and, as a result, allow you to seamlessly scale up a Ax optimization process - without sacrificing performance.\n", + "\n", + "Ax is a platform for optimizing any kind of experiment, including machine learning experiments, A/B tests, and simulations. Ax can optimize discrete configurations (e.g., variants of an A/B test) using multi-armed bandit optimization, and continuous/ordered configurations (e.g. float/int parameters) using Bayesian optimization. Results of A/B tests and simulations with reinforcement learning agents often exhibit high amounts of noise. Ax supports state-of-the-art algorithms which work better than traditional Bayesian optimization in high-noise settings. Ax also supports multi-objective and constrained optimization which are common to real-world problems (e.g. improving load time without increasing data use). Ax belongs to the domain of \"derivative-free\" and \"black-box\" optimization.\n", + "\n", + "In this example we minimize a simple objective to briefly demonstrate the usage of AxSearch with Ray Tune via `AxSearch`. It's useful to keep in mind that despite the emphasis on machine learning experiments, Ray Tune optimizes any implicit or explicit objective. Here we assume `ax-platform==0.2.4` library is installed withe python version >= 3.7. To learn more, please refer to the [Ax website](https://ax.dev/)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "297d8b18", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: ax-platform==0.2.4 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (0.2.4)\n", + "Requirement already satisfied: botorch==0.6.2 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (0.6.2)\n", + "Requirement already satisfied: jinja2 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (3.0.3)\n", + "Requirement already satisfied: pandas in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (1.3.5)\n", + "Requirement already satisfied: scipy in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (1.4.1)\n", + "Requirement already satisfied: plotly in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (5.6.0)\n", + "Requirement already satisfied: scikit-learn in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (0.24.2)\n", + "Requirement already satisfied: typeguard in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from ax-platform==0.2.4) (2.13.3)\n", + "Requirement already satisfied: gpytorch>=1.6 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (1.6.0)\n", + "Requirement already satisfied: torch>=1.9 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (1.9.0)\n", + "Requirement already satisfied: multipledispatch in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from botorch==0.6.2->ax-platform==0.2.4) (0.6.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from jinja2->ax-platform==0.2.4) (2.0.1)\n", + "Requirement already satisfied: pytz>=2017.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (2022.1)\n", + "Requirement already satisfied: numpy>=1.17.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (1.21.6)\n", + "Requirement already satisfied: python-dateutil>=2.7.3 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from pandas->ax-platform==0.2.4) (2.8.2)\n", + "Requirement already satisfied: tenacity>=6.2.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from plotly->ax-platform==0.2.4) (8.0.1)\n", + "Requirement already satisfied: six in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from plotly->ax-platform==0.2.4) (1.16.0)\n", + "Requirement already satisfied: joblib>=0.11 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from scikit-learn->ax-platform==0.2.4) (1.1.0)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from scikit-learn->ax-platform==0.2.4) (3.0.0)\n", + "Requirement already satisfied: typing-extensions in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from torch>=1.9->botorch==0.6.2->ax-platform==0.2.4) (4.1.1)\n", + "\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n", + "\u001b[0m" + ] + } + ], + "source": [ + "# !pip install ray[tune]\n", + "!pip install ax-platform==0.2.4" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "59b1e0d1", + "metadata": {}, + "source": [ + "Click below to see all the imports we need for this example." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cbae6dbe", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import time\n", + "\n", + "import ray\n", + "from ray import tune\n", + "from ray.tune.search.ax import AxSearch" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "7b2b6af7", + "metadata": {}, + "source": [ + "Let's start by defining a classic benchmark for global optimization.\n", + "The form here is explicit for demonstration, yet it is typically a black-box.\n", + "We artificially sleep for a bit (`0.02` seconds) to simulate a long-running ML experiment.\n", + "This setup assumes that we're running multiple `step`s of an experiment and try to tune 6-dimensions of the `x` hyperparameter." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0f7fbe0f", + "metadata": {}, + "outputs": [], + "source": [ + "def landscape(x):\n", + " \"\"\"\n", + " Hartmann 6D function containing 6 local minima.\n", + " It is a classic benchmark for developing global optimization algorithms.\n", + " \"\"\"\n", + " alpha = np.array([1.0, 1.2, 3.0, 3.2])\n", + " A = np.array(\n", + " [\n", + " [10, 3, 17, 3.5, 1.7, 8],\n", + " [0.05, 10, 17, 0.1, 8, 14],\n", + " [3, 3.5, 1.7, 10, 17, 8],\n", + " [17, 8, 0.05, 10, 0.1, 14],\n", + " ]\n", + " )\n", + " P = 10 ** (-4) * np.array(\n", + " [\n", + " [1312, 1696, 5569, 124, 8283, 5886],\n", + " [2329, 4135, 8307, 3736, 1004, 9991],\n", + " [2348, 1451, 3522, 2883, 3047, 6650],\n", + " [4047, 8828, 8732, 5743, 1091, 381],\n", + " ]\n", + " )\n", + " y = 0.0\n", + " for j, alpha_j in enumerate(alpha):\n", + " t = 0\n", + " for k in range(6):\n", + " t += A[j, k] * ((x[k] - P[j, k]) ** 2)\n", + " y -= alpha_j * np.exp(-t)\n", + " return y" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "0b1ae9df", + "metadata": {}, + "source": [ + "Next, our `objective` function takes a Tune `config`, evaluates the `landscape` of our experiment in a training loop,\n", + "and uses `tune.report` to report the `landscape` back to Tune." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8c3f252e", + "metadata": {}, + "outputs": [], + "source": [ + "def objective(config):\n", + " for i in range(config[\"iterations\"]):\n", + " x = np.array([config.get(\"x{}\".format(i + 1)) for i in range(6)])\n", + " tune.report(\n", + " {\"timesteps_total\": i, \"landscape\": landscape(x), \"l2norm\": np.sqrt((x ** 2).sum())}\n", + " )\n", + " time.sleep(0.02)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "d9982d95", + "metadata": {}, + "source": [ + "Next we define a search space. The critical assumption is that the optimal hyperparameters live within this space. Yet, if the space is very large, then those hyperparameters may be difficult to find in a short amount of time." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "30f75f5a", + "metadata": {}, + "outputs": [], + "source": [ + "search_space = {\n", + " \"iterations\":100,\n", + " \"x1\": tune.uniform(0.0, 1.0),\n", + " \"x2\": tune.uniform(0.0, 1.0),\n", + " \"x3\": tune.uniform(0.0, 1.0),\n", + " \"x4\": tune.uniform(0.0, 1.0),\n", + " \"x5\": tune.uniform(0.0, 1.0),\n", + " \"x6\": tune.uniform(0.0, 1.0)\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "106d8578", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "ray.init(configure_logging=False)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "932f74e6", + "metadata": {}, + "source": [ + "Now we define the search algorithm from `AxSearch`. If you want to constrain your parameters or even the space of outcomes, that can be easily done by passing the argumentsas below." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "34dd5c95", + "metadata": {}, + "outputs": [], + "source": [ + "algo = AxSearch(\n", + " parameter_constraints=[\"x1 + x2 <= 2.0\"],\n", + " outcome_constraints=[\"l2norm <= 1.25\"],\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "f6d18a99", + "metadata": {}, + "source": [ + "We also use `ConcurrencyLimiter` to constrain to 4 concurrent trials. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "dcd905ef", + "metadata": {}, + "outputs": [], + "source": [ + "algo = tune.search.ConcurrencyLimiter(algo, max_concurrent=4)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "10fd5427", + "metadata": {}, + "source": [ + "The number of samples is the number of hyperparameter combinations that will be tried out. This Tune run is set to `1000` samples.\n", + "You can decrease this if it takes too long on your machine, or you can set a time limit easily through `stop` argument in the `RunConfig()` as we will show here." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c53349a5", + "metadata": {}, + "outputs": [], + "source": [ + "num_samples = 100\n", + "stop_timesteps = 200" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6c661045", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "# Reducing samples for smoke tests\n", + "num_samples = 10" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "91076c5a", + "metadata": {}, + "source": [ + "Finally, we run the experiment to find the global minimum of the provided landscape (which contains 5 false minima). The argument to metric, `\"landscape\"`, is provided via the `objective` function's `tune.report`. The experiment `\"min\"`imizes the \"mean_loss\" of the `landscape` by searching within `search_space` via `algo`, `num_samples` times or when `\"timesteps_total\": stop_timesteps`. This previous sentence is fully characterizes the search problem we aim to solve. With this in mind, notice how efficient it is to execute `tuner.fit()`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "2f519d63", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:18] ax.service.ax_client: Starting optimization with verbose logging. To disable logging, set the `verbose_logging` argument to `False`. Note that float values in the logs are rounded to 6 decimal points.\n", + "[INFO 07-22 15:04:18] ax.service.utils.instantiation: Created search space: SearchSpace(parameters=[FixedParameter(name='iterations', parameter_type=INT, value=100), RangeParameter(name='x1', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x2', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x3', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x4', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x5', parameter_type=FLOAT, range=[0.0, 1.0]), RangeParameter(name='x6', parameter_type=FLOAT, range=[0.0, 1.0])], parameter_constraints=[ParameterConstraint(1.0*x1 + 1.0*x2 <= 2.0)]).\n", + "[INFO 07-22 15:04:18] ax.modelbridge.dispatch_utils: Using Bayesian optimization since there are more ordered parameters than there are categories for the unordered categorical parameters.\n", + "[INFO 07-22 15:04:18] ax.modelbridge.dispatch_utils: Using Bayesian Optimization generation strategy: GenerationStrategy(name='Sobol+GPEI', steps=[Sobol for 12 trials, GPEI for subsequent trials]). Iterations after 12 will take longer to generate due to model-fitting.\n", + "Detected sequential enforcement. Be sure to use a ConcurrencyLimiter.\n" + ] + }, + { + "data": { + "text/html": [ + "== Status ==
    Current time: 2022-07-22 15:04:35 (running for 00:00:16.56)
    Memory usage on this node: 9.9/16.0 GiB
    Using FIFO scheduling algorithm.
    Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/5.13 GiB heap, 0.0/2.0 GiB objects
    Current best trial: 34b7abda with landscape=-1.6624439263544026 and parameters={'iterations': 100, 'x1': 0.26526361983269453, 'x2': 0.9248840995132923, 'x3': 0.15171580761671066, 'x4': 0.43602637108415365, 'x5': 0.8573104059323668, 'x6': 0.08981018699705601}
    Result logdir: /Users/kai/ray_results/ax
    Number of trials: 10/10 (10 TERMINATED)
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    Trial name status loc iterations x1 x2 x3 x4 x5 x6 iter total time (s) ts landscape l2norm
    objective_2dfbe86aTERMINATED127.0.0.1:44721 1000.05583360.08961920.958956 0.234474 0.174516 0.970311 100 2.57372 99-0.805233 1.39917
    objective_2fa776c0TERMINATED127.0.0.1:44726 1000.744772 0.754537 0.09501250.273877 0.09668290.368943 100 2.6361 99-0.11286 1.16341
    objective_2fabaa1aTERMINATED127.0.0.1:44727 1000.405704 0.374626 0.935628 0.222185 0.787212 0.00812439 100 2.62393 99-0.11348 1.35995
    objective_2faee7c0TERMINATED127.0.0.1:44728 1000.664728 0.207519 0.359514 0.704578 0.755882 0.812402 100 2.62069 99-0.0119837 1.53035
    objective_313d3d3aTERMINATED127.0.0.1:44747 1000.04187460.992783 0.906027 0.594429 0.825393 0.646362 100 3.16233 99-0.00677976 1.80573
    objective_32c9acd8TERMINATED127.0.0.1:44726 1000.126064 0.703408 0.344681 0.337363 0.401396 0.679202 100 3.12119 99-0.904622 1.16864
    objective_32cf8ca2TERMINATED127.0.0.1:44756 1000.09109360.304138 0.869848 0.405435 0.567922 0.228608 100 2.70791 99-0.146532 1.18178
    objective_32d8dd20TERMINATED127.0.0.1:44758 1000.603178 0.409057 0.729056 0.08259840.572948 0.508304 100 2.64158 99-0.247223 1.28691
    objective_34adf04aTERMINATED127.0.0.1:44768 1000.454189 0.271772 0.530871 0.991841 0.691843 0.472366 100 2.70327 99-0.0132915 1.49917
    objective_34b7abdaTERMINATED127.0.0.1:44771 1000.265264 0.924884 0.151716 0.436026 0.85731 0.0898102 100 2.68521 99-1.66244 1.37185


    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:19] ax.service.ax_client: Generated new trial 0 with parameters {'x1': 0.055834, 'x2': 0.089619, 'x3': 0.958956, 'x4': 0.234474, 'x5': 0.174516, 'x6': 0.970311, 'iterations': 100}.\n", + "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 1 with parameters {'x1': 0.744772, 'x2': 0.754537, 'x3': 0.095012, 'x4': 0.273877, 'x5': 0.096683, 'x6': 0.368943, 'iterations': 100}.\n", + "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 2 with parameters {'x1': 0.405704, 'x2': 0.374626, 'x3': 0.935628, 'x4': 0.222185, 'x5': 0.787212, 'x6': 0.008124, 'iterations': 100}.\n", + "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 3 with parameters {'x1': 0.664728, 'x2': 0.207519, 'x3': 0.359514, 'x4': 0.704578, 'x5': 0.755882, 'x6': 0.812402, 'iterations': 100}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_2dfbe86a:\n", + " date: 2022-07-22_15-04-22\n", + " done: false\n", + " experiment_id: 4ef8a12ac94a4f4fa483ec18e347967f\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.3991721132671366\n", + " landscape: -0.8052333562869153\n", + " node_ip: 127.0.0.1\n", + " pid: 44721\n", + " time_since_restore: 0.00022912025451660156\n", + " time_this_iter_s: 0.00022912025451660156\n", + " time_total_s: 0.00022912025451660156\n", + " timestamp: 1658498662\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 2dfbe86a\n", + " warmup_time: 0.0035619735717773438\n", + " \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:24] ax.service.ax_client: Completed trial 0 with data: {'landscape': (-0.805233, None), 'l2norm': (1.399172, None)}.\n", + "[INFO 07-22 15:04:24] ax.service.ax_client: Generated new trial 4 with parameters {'x1': 0.041875, 'x2': 0.992783, 'x3': 0.906027, 'x4': 0.594429, 'x5': 0.825393, 'x6': 0.646362, 'iterations': 100}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_2faee7c0:\n", + " date: 2022-07-22_15-04-24\n", + " done: false\n", + " experiment_id: 3699644e85ac439cb7c1a36ed0976307\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.530347488145437\n", + " landscape: -0.011983676977099367\n", + " node_ip: 127.0.0.1\n", + " pid: 44728\n", + " time_since_restore: 0.00022292137145996094\n", + " time_this_iter_s: 0.00022292137145996094\n", + " time_total_s: 0.00022292137145996094\n", + " timestamp: 1658498664\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 2faee7c0\n", + " warmup_time: 0.0027179718017578125\n", + " \n", + "Result for objective_2fa776c0:\n", + " date: 2022-07-22_15-04-24\n", + " done: false\n", + " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.1634068454629019\n", + " landscape: -0.11285961764770336\n", + " node_ip: 127.0.0.1\n", + " pid: 44726\n", + " time_since_restore: 0.000225067138671875\n", + " time_this_iter_s: 0.000225067138671875\n", + " time_total_s: 0.000225067138671875\n", + " timestamp: 1658498664\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 2fa776c0\n", + " warmup_time: 0.0026290416717529297\n", + " \n", + "Result for objective_2dfbe86a:\n", + " date: 2022-07-22_15-04-24\n", + " done: true\n", + " experiment_id: 4ef8a12ac94a4f4fa483ec18e347967f\n", + " experiment_tag: 1_iterations=100,x1=0.0558,x2=0.0896,x3=0.9590,x4=0.2345,x5=0.1745,x6=0.9703\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.3991721132671366\n", + " landscape: -0.8052333562869153\n", + " node_ip: 127.0.0.1\n", + " pid: 44721\n", + " time_since_restore: 2.573719024658203\n", + " time_this_iter_s: 0.0251619815826416\n", + " time_total_s: 2.573719024658203\n", + " timestamp: 1658498664\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 2dfbe86a\n", + " warmup_time: 0.0035619735717773438\n", + " \n", + "Result for objective_2fabaa1a:\n", + " date: 2022-07-22_15-04-24\n", + " done: false\n", + " experiment_id: eb9287e4fe5f44c7868dc943e2642312\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.3599537840291782\n", + " landscape: -0.11348012497414121\n", + " node_ip: 127.0.0.1\n", + " pid: 44727\n", + " time_since_restore: 0.00022077560424804688\n", + " time_this_iter_s: 0.00022077560424804688\n", + " time_total_s: 0.00022077560424804688\n", + " timestamp: 1658498664\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 2fabaa1a\n", + " warmup_time: 0.0025510787963867188\n", + " \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 3 with data: {'landscape': (-0.011984, None), 'l2norm': (1.530347, None)}.\n", + "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 5 with parameters {'x1': 0.126064, 'x2': 0.703408, 'x3': 0.344681, 'x4': 0.337363, 'x5': 0.401396, 'x6': 0.679202, 'iterations': 100}.\n", + "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 1 with data: {'landscape': (-0.11286, None), 'l2norm': (1.163407, None)}.\n", + "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 6 with parameters {'x1': 0.091094, 'x2': 0.304138, 'x3': 0.869848, 'x4': 0.405435, 'x5': 0.567922, 'x6': 0.228608, 'iterations': 100}.\n", + "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 2 with data: {'landscape': (-0.11348, None), 'l2norm': (1.359954, None)}.\n", + "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 7 with parameters {'x1': 0.603178, 'x2': 0.409057, 'x3': 0.729056, 'x4': 0.082598, 'x5': 0.572948, 'x6': 0.508304, 'iterations': 100}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_313d3d3a:\n", + " date: 2022-07-22_15-04-27\n", + " done: false\n", + " experiment_id: fa7afd557e154fbebe4f54d8eedb3573\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.805729990121368\n", + " landscape: -0.006779757704679272\n", + " node_ip: 127.0.0.1\n", + " pid: 44747\n", + " time_since_restore: 0.00021076202392578125\n", + " time_this_iter_s: 0.00021076202392578125\n", + " time_total_s: 0.00021076202392578125\n", + " timestamp: 1658498667\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 313d3d3a\n", + " warmup_time: 0.0029790401458740234\n", + " \n", + "Result for objective_2faee7c0:\n", + " date: 2022-07-22_15-04-27\n", + " done: true\n", + " experiment_id: 3699644e85ac439cb7c1a36ed0976307\n", + " experiment_tag: 4_iterations=100,x1=0.6647,x2=0.2075,x3=0.3595,x4=0.7046,x5=0.7559,x6=0.8124\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.530347488145437\n", + " landscape: -0.011983676977099367\n", + " node_ip: 127.0.0.1\n", + " pid: 44728\n", + " time_since_restore: 2.6206929683685303\n", + " time_this_iter_s: 0.027359962463378906\n", + " time_total_s: 2.6206929683685303\n", + " timestamp: 1658498667\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 2faee7c0\n", + " warmup_time: 0.0027179718017578125\n", + " \n", + "Result for objective_2fa776c0:\n", + " date: 2022-07-22_15-04-27\n", + " done: true\n", + " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", + " experiment_tag: 2_iterations=100,x1=0.7448,x2=0.7545,x3=0.0950,x4=0.2739,x5=0.0967,x6=0.3689\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.1634068454629019\n", + " landscape: -0.11285961764770336\n", + " node_ip: 127.0.0.1\n", + " pid: 44726\n", + " time_since_restore: 2.6361019611358643\n", + " time_this_iter_s: 0.0264589786529541\n", + " time_total_s: 2.6361019611358643\n", + " timestamp: 1658498667\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 2fa776c0\n", + " warmup_time: 0.0026290416717529297\n", + " \n", + "Result for objective_32c9acd8:\n", + " date: 2022-07-22_15-04-27\n", + " done: false\n", + " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.1686440476629836\n", + " landscape: -0.9046216637367911\n", + " node_ip: 127.0.0.1\n", + " pid: 44726\n", + " time_since_restore: 0.00020194053649902344\n", + " time_this_iter_s: 0.00020194053649902344\n", + " time_total_s: 0.00020194053649902344\n", + " timestamp: 1658498667\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 32c9acd8\n", + " warmup_time: 0.0026290416717529297\n", + " \n", + "Result for objective_2fabaa1a:\n", + " date: 2022-07-22_15-04-27\n", + " done: true\n", + " experiment_id: eb9287e4fe5f44c7868dc943e2642312\n", + " experiment_tag: 3_iterations=100,x1=0.4057,x2=0.3746,x3=0.9356,x4=0.2222,x5=0.7872,x6=0.0081\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.3599537840291782\n", + " landscape: -0.11348012497414121\n", + " node_ip: 127.0.0.1\n", + " pid: 44727\n", + " time_since_restore: 2.623929977416992\n", + " time_this_iter_s: 0.032716989517211914\n", + " time_total_s: 2.623929977416992\n", + " timestamp: 1658498667\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 2fabaa1a\n", + " warmup_time: 0.0025510787963867188\n", + " \n", + "Result for objective_32d8dd20:\n", + " date: 2022-07-22_15-04-30\n", + " done: false\n", + " experiment_id: 171527593b0f4cbf941c0a03faaf0953\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.2869105702896437\n", + " landscape: -0.24722262157458608\n", + " node_ip: 127.0.0.1\n", + " pid: 44758\n", + " time_since_restore: 0.00021886825561523438\n", + " time_this_iter_s: 0.00021886825561523438\n", + " time_total_s: 0.00021886825561523438\n", + " timestamp: 1658498670\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 32d8dd20\n", + " warmup_time: 0.002732992172241211\n", + " \n", + "Result for objective_32cf8ca2:\n", + " date: 2022-07-22_15-04-29\n", + " done: false\n", + " experiment_id: 37610500f6df493aae4e7e46bb21bf09\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.1817810425508524\n", + " landscape: -0.14653248187442922\n", + " node_ip: 127.0.0.1\n", + " pid: 44756\n", + " time_since_restore: 0.00025081634521484375\n", + " time_this_iter_s: 0.00025081634521484375\n", + " time_total_s: 0.00025081634521484375\n", + " timestamp: 1658498669\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 32cf8ca2\n", + " warmup_time: 0.0032138824462890625\n", + " \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:30] ax.service.ax_client: Completed trial 4 with data: {'landscape': (-0.00678, None), 'l2norm': (1.80573, None)}.\n", + "[INFO 07-22 15:04:30] ax.service.ax_client: Generated new trial 8 with parameters {'x1': 0.454189, 'x2': 0.271772, 'x3': 0.530871, 'x4': 0.991841, 'x5': 0.691843, 'x6': 0.472366, 'iterations': 100}.\n", + "[INFO 07-22 15:04:30] ax.service.ax_client: Completed trial 5 with data: {'landscape': (-0.904622, None), 'l2norm': (1.168644, None)}.\n", + "[INFO 07-22 15:04:30] ax.service.ax_client: Generated new trial 9 with parameters {'x1': 0.265264, 'x2': 0.924884, 'x3': 0.151716, 'x4': 0.436026, 'x5': 0.85731, 'x6': 0.08981, 'iterations': 100}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_313d3d3a:\n", + " date: 2022-07-22_15-04-30\n", + " done: true\n", + " experiment_id: fa7afd557e154fbebe4f54d8eedb3573\n", + " experiment_tag: 5_iterations=100,x1=0.0419,x2=0.9928,x3=0.9060,x4=0.5944,x5=0.8254,x6=0.6464\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.805729990121368\n", + " landscape: -0.006779757704679272\n", + " node_ip: 127.0.0.1\n", + " pid: 44747\n", + " time_since_restore: 3.1623308658599854\n", + " time_this_iter_s: 0.02911996841430664\n", + " time_total_s: 3.1623308658599854\n", + " timestamp: 1658498670\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 313d3d3a\n", + " warmup_time: 0.0029790401458740234\n", + " \n", + "Result for objective_32c9acd8:\n", + " date: 2022-07-22_15-04-30\n", + " done: true\n", + " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", + " experiment_tag: 6_iterations=100,x1=0.1261,x2=0.7034,x3=0.3447,x4=0.3374,x5=0.4014,x6=0.6792\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.1686440476629836\n", + " landscape: -0.9046216637367911\n", + " node_ip: 127.0.0.1\n", + " pid: 44726\n", + " time_since_restore: 3.1211891174316406\n", + " time_this_iter_s: 0.02954697608947754\n", + " time_total_s: 3.1211891174316406\n", + " timestamp: 1658498670\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 32c9acd8\n", + " warmup_time: 0.0026290416717529297\n", + " \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:32] ax.service.ax_client: Completed trial 7 with data: {'landscape': (-0.247223, None), 'l2norm': (1.286911, None)}.\n", + "[INFO 07-22 15:04:32] ax.service.ax_client: Completed trial 6 with data: {'landscape': (-0.146532, None), 'l2norm': (1.181781, None)}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_32d8dd20:\n", + " date: 2022-07-22_15-04-32\n", + " done: true\n", + " experiment_id: 171527593b0f4cbf941c0a03faaf0953\n", + " experiment_tag: 8_iterations=100,x1=0.6032,x2=0.4091,x3=0.7291,x4=0.0826,x5=0.5729,x6=0.5083\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.2869105702896437\n", + " landscape: -0.24722262157458608\n", + " node_ip: 127.0.0.1\n", + " pid: 44758\n", + " time_since_restore: 2.6415798664093018\n", + " time_this_iter_s: 0.026781082153320312\n", + " time_total_s: 2.6415798664093018\n", + " timestamp: 1658498672\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 32d8dd20\n", + " warmup_time: 0.002732992172241211\n", + " \n", + "Result for objective_32cf8ca2:\n", + " date: 2022-07-22_15-04-32\n", + " done: true\n", + " experiment_id: 37610500f6df493aae4e7e46bb21bf09\n", + " experiment_tag: 7_iterations=100,x1=0.0911,x2=0.3041,x3=0.8698,x4=0.4054,x5=0.5679,x6=0.2286\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.1817810425508524\n", + " landscape: -0.14653248187442922\n", + " node_ip: 127.0.0.1\n", + " pid: 44756\n", + " time_since_restore: 2.707913875579834\n", + " time_this_iter_s: 0.027456998825073242\n", + " time_total_s: 2.707913875579834\n", + " timestamp: 1658498672\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 32cf8ca2\n", + " warmup_time: 0.0032138824462890625\n", + " \n", + "Result for objective_34adf04a:\n", + " date: 2022-07-22_15-04-33\n", + " done: false\n", + " experiment_id: 4f65c5b68f5c49d98fda388e37c83deb\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.4991655675380078\n", + " landscape: -0.01329150870283869\n", + " node_ip: 127.0.0.1\n", + " pid: 44768\n", + " time_since_restore: 0.00021600723266601562\n", + " time_this_iter_s: 0.00021600723266601562\n", + " time_total_s: 0.00021600723266601562\n", + " timestamp: 1658498673\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 34adf04a\n", + " warmup_time: 0.0027239322662353516\n", + " \n", + "Result for objective_34b7abda:\n", + " date: 2022-07-22_15-04-33\n", + " done: false\n", + " experiment_id: f135a2c40f5644ba9d2ae096a9dd10e0\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 1\n", + " l2norm: 1.3718451333547932\n", + " landscape: -1.6624439263544026\n", + " node_ip: 127.0.0.1\n", + " pid: 44771\n", + " time_since_restore: 0.0002338886260986328\n", + " time_this_iter_s: 0.0002338886260986328\n", + " time_total_s: 0.0002338886260986328\n", + " timestamp: 1658498673\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 0\n", + " training_iteration: 1\n", + " trial_id: 34b7abda\n", + " warmup_time: 0.002721071243286133\n", + " \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 07-22 15:04:35] ax.service.ax_client: Completed trial 8 with data: {'landscape': (-0.013292, None), 'l2norm': (1.499166, None)}.\n", + "[INFO 07-22 15:04:35] ax.service.ax_client: Completed trial 9 with data: {'landscape': (-1.662444, None), 'l2norm': (1.371845, None)}.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result for objective_34adf04a:\n", + " date: 2022-07-22_15-04-35\n", + " done: true\n", + " experiment_id: 4f65c5b68f5c49d98fda388e37c83deb\n", + " experiment_tag: 9_iterations=100,x1=0.4542,x2=0.2718,x3=0.5309,x4=0.9918,x5=0.6918,x6=0.4724\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.4991655675380078\n", + " landscape: -0.01329150870283869\n", + " node_ip: 127.0.0.1\n", + " pid: 44768\n", + " time_since_restore: 2.7032668590545654\n", + " time_this_iter_s: 0.029300928115844727\n", + " time_total_s: 2.7032668590545654\n", + " timestamp: 1658498675\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 34adf04a\n", + " warmup_time: 0.0027239322662353516\n", + " \n", + "Result for objective_34b7abda:\n", + " date: 2022-07-22_15-04-35\n", + " done: true\n", + " experiment_id: f135a2c40f5644ba9d2ae096a9dd10e0\n", + " experiment_tag: 10_iterations=100,x1=0.2653,x2=0.9249,x3=0.1517,x4=0.4360,x5=0.8573,x6=0.0898\n", + " hostname: Kais-MacBook-Pro.local\n", + " iterations_since_restore: 100\n", + " l2norm: 1.3718451333547932\n", + " landscape: -1.6624439263544026\n", + " node_ip: 127.0.0.1\n", + " pid: 44771\n", + " time_since_restore: 2.6852078437805176\n", + " time_this_iter_s: 0.029579877853393555\n", + " time_total_s: 2.6852078437805176\n", + " timestamp: 1658498675\n", + " timesteps_since_restore: 0\n", + " timesteps_total: 99\n", + " training_iteration: 100\n", + " trial_id: 34b7abda\n", + " warmup_time: 0.002721071243286133\n", + " \n" + ] + } + ], + "source": [ + "tuner = tune.Tuner(\n", + " objective,\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"landscape\",\n", + " mode=\"min\",\n", + " search_alg=algo,\n", + " num_samples=num_samples,\n", + " ),\n", + " run_config=tune.RunConfig(\n", + " name=\"ax\",\n", + " stop={\"timesteps_total\": stop_timesteps}\n", + " ),\n", + " param_space=search_space,\n", + ")\n", + "results = tuner.fit()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "860b53b0", + "metadata": {}, + "source": [ + "And now we have the hyperparameters found to minimize the mean loss." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "12906421", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best hyperparameters found were: {'iterations': 100, 'x1': 0.26526361983269453, 'x2': 0.9248840995132923, 'x3': 0.15171580761671066, 'x4': 0.43602637108415365, 'x5': 0.8573104059323668, 'x6': 0.08981018699705601}\n" + ] + } + ], + "source": [ + "print(\"Best hyperparameters found were: \", results.get_best_result().config)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "68872424", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "ray.shutdown()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + }, + "orphan": true }, - { - "data": { - "text/html": [ - "== Status ==
    Current time: 2022-07-22 15:04:35 (running for 00:00:16.56)
    Memory usage on this node: 9.9/16.0 GiB
    Using FIFO scheduling algorithm.
    Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/5.13 GiB heap, 0.0/2.0 GiB objects
    Current best trial: 34b7abda with landscape=-1.6624439263544026 and parameters={'iterations': 100, 'x1': 0.26526361983269453, 'x2': 0.9248840995132923, 'x3': 0.15171580761671066, 'x4': 0.43602637108415365, 'x5': 0.8573104059323668, 'x6': 0.08981018699705601}
    Result logdir: /Users/kai/ray_results/ax
    Number of trials: 10/10 (10 TERMINATED)
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    Trial name status loc iterations x1 x2 x3 x4 x5 x6 iter total time (s) ts landscape l2norm
    objective_2dfbe86aTERMINATED127.0.0.1:44721 1000.05583360.08961920.958956 0.234474 0.174516 0.970311 100 2.57372 99-0.805233 1.39917
    objective_2fa776c0TERMINATED127.0.0.1:44726 1000.744772 0.754537 0.09501250.273877 0.09668290.368943 100 2.6361 99-0.11286 1.16341
    objective_2fabaa1aTERMINATED127.0.0.1:44727 1000.405704 0.374626 0.935628 0.222185 0.787212 0.00812439 100 2.62393 99-0.11348 1.35995
    objective_2faee7c0TERMINATED127.0.0.1:44728 1000.664728 0.207519 0.359514 0.704578 0.755882 0.812402 100 2.62069 99-0.0119837 1.53035
    objective_313d3d3aTERMINATED127.0.0.1:44747 1000.04187460.992783 0.906027 0.594429 0.825393 0.646362 100 3.16233 99-0.00677976 1.80573
    objective_32c9acd8TERMINATED127.0.0.1:44726 1000.126064 0.703408 0.344681 0.337363 0.401396 0.679202 100 3.12119 99-0.904622 1.16864
    objective_32cf8ca2TERMINATED127.0.0.1:44756 1000.09109360.304138 0.869848 0.405435 0.567922 0.228608 100 2.70791 99-0.146532 1.18178
    objective_32d8dd20TERMINATED127.0.0.1:44758 1000.603178 0.409057 0.729056 0.08259840.572948 0.508304 100 2.64158 99-0.247223 1.28691
    objective_34adf04aTERMINATED127.0.0.1:44768 1000.454189 0.271772 0.530871 0.991841 0.691843 0.472366 100 2.70327 99-0.0132915 1.49917
    objective_34b7abdaTERMINATED127.0.0.1:44771 1000.265264 0.924884 0.151716 0.436026 0.85731 0.0898102 100 2.68521 99-1.66244 1.37185


    " - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:19] ax.service.ax_client: Generated new trial 0 with parameters {'x1': 0.055834, 'x2': 0.089619, 'x3': 0.958956, 'x4': 0.234474, 'x5': 0.174516, 'x6': 0.970311, 'iterations': 100}.\n", - "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 1 with parameters {'x1': 0.744772, 'x2': 0.754537, 'x3': 0.095012, 'x4': 0.273877, 'x5': 0.096683, 'x6': 0.368943, 'iterations': 100}.\n", - "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 2 with parameters {'x1': 0.405704, 'x2': 0.374626, 'x3': 0.935628, 'x4': 0.222185, 'x5': 0.787212, 'x6': 0.008124, 'iterations': 100}.\n", - "[INFO 07-22 15:04:22] ax.service.ax_client: Generated new trial 3 with parameters {'x1': 0.664728, 'x2': 0.207519, 'x3': 0.359514, 'x4': 0.704578, 'x5': 0.755882, 'x6': 0.812402, 'iterations': 100}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_2dfbe86a:\n", - " date: 2022-07-22_15-04-22\n", - " done: false\n", - " experiment_id: 4ef8a12ac94a4f4fa483ec18e347967f\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.3991721132671366\n", - " landscape: -0.8052333562869153\n", - " node_ip: 127.0.0.1\n", - " pid: 44721\n", - " time_since_restore: 0.00022912025451660156\n", - " time_this_iter_s: 0.00022912025451660156\n", - " time_total_s: 0.00022912025451660156\n", - " timestamp: 1658498662\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 2dfbe86a\n", - " warmup_time: 0.0035619735717773438\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:24] ax.service.ax_client: Completed trial 0 with data: {'landscape': (-0.805233, None), 'l2norm': (1.399172, None)}.\n", - "[INFO 07-22 15:04:24] ax.service.ax_client: Generated new trial 4 with parameters {'x1': 0.041875, 'x2': 0.992783, 'x3': 0.906027, 'x4': 0.594429, 'x5': 0.825393, 'x6': 0.646362, 'iterations': 100}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_2faee7c0:\n", - " date: 2022-07-22_15-04-24\n", - " done: false\n", - " experiment_id: 3699644e85ac439cb7c1a36ed0976307\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.530347488145437\n", - " landscape: -0.011983676977099367\n", - " node_ip: 127.0.0.1\n", - " pid: 44728\n", - " time_since_restore: 0.00022292137145996094\n", - " time_this_iter_s: 0.00022292137145996094\n", - " time_total_s: 0.00022292137145996094\n", - " timestamp: 1658498664\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 2faee7c0\n", - " warmup_time: 0.0027179718017578125\n", - " \n", - "Result for objective_2fa776c0:\n", - " date: 2022-07-22_15-04-24\n", - " done: false\n", - " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.1634068454629019\n", - " landscape: -0.11285961764770336\n", - " node_ip: 127.0.0.1\n", - " pid: 44726\n", - " time_since_restore: 0.000225067138671875\n", - " time_this_iter_s: 0.000225067138671875\n", - " time_total_s: 0.000225067138671875\n", - " timestamp: 1658498664\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 2fa776c0\n", - " warmup_time: 0.0026290416717529297\n", - " \n", - "Result for objective_2dfbe86a:\n", - " date: 2022-07-22_15-04-24\n", - " done: true\n", - " experiment_id: 4ef8a12ac94a4f4fa483ec18e347967f\n", - " experiment_tag: 1_iterations=100,x1=0.0558,x2=0.0896,x3=0.9590,x4=0.2345,x5=0.1745,x6=0.9703\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.3991721132671366\n", - " landscape: -0.8052333562869153\n", - " node_ip: 127.0.0.1\n", - " pid: 44721\n", - " time_since_restore: 2.573719024658203\n", - " time_this_iter_s: 0.0251619815826416\n", - " time_total_s: 2.573719024658203\n", - " timestamp: 1658498664\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 2dfbe86a\n", - " warmup_time: 0.0035619735717773438\n", - " \n", - "Result for objective_2fabaa1a:\n", - " date: 2022-07-22_15-04-24\n", - " done: false\n", - " experiment_id: eb9287e4fe5f44c7868dc943e2642312\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.3599537840291782\n", - " landscape: -0.11348012497414121\n", - " node_ip: 127.0.0.1\n", - " pid: 44727\n", - " time_since_restore: 0.00022077560424804688\n", - " time_this_iter_s: 0.00022077560424804688\n", - " time_total_s: 0.00022077560424804688\n", - " timestamp: 1658498664\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 2fabaa1a\n", - " warmup_time: 0.0025510787963867188\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 3 with data: {'landscape': (-0.011984, None), 'l2norm': (1.530347, None)}.\n", - "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 5 with parameters {'x1': 0.126064, 'x2': 0.703408, 'x3': 0.344681, 'x4': 0.337363, 'x5': 0.401396, 'x6': 0.679202, 'iterations': 100}.\n", - "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 1 with data: {'landscape': (-0.11286, None), 'l2norm': (1.163407, None)}.\n", - "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 6 with parameters {'x1': 0.091094, 'x2': 0.304138, 'x3': 0.869848, 'x4': 0.405435, 'x5': 0.567922, 'x6': 0.228608, 'iterations': 100}.\n", - "[INFO 07-22 15:04:27] ax.service.ax_client: Completed trial 2 with data: {'landscape': (-0.11348, None), 'l2norm': (1.359954, None)}.\n", - "[INFO 07-22 15:04:27] ax.service.ax_client: Generated new trial 7 with parameters {'x1': 0.603178, 'x2': 0.409057, 'x3': 0.729056, 'x4': 0.082598, 'x5': 0.572948, 'x6': 0.508304, 'iterations': 100}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_313d3d3a:\n", - " date: 2022-07-22_15-04-27\n", - " done: false\n", - " experiment_id: fa7afd557e154fbebe4f54d8eedb3573\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.805729990121368\n", - " landscape: -0.006779757704679272\n", - " node_ip: 127.0.0.1\n", - " pid: 44747\n", - " time_since_restore: 0.00021076202392578125\n", - " time_this_iter_s: 0.00021076202392578125\n", - " time_total_s: 0.00021076202392578125\n", - " timestamp: 1658498667\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 313d3d3a\n", - " warmup_time: 0.0029790401458740234\n", - " \n", - "Result for objective_2faee7c0:\n", - " date: 2022-07-22_15-04-27\n", - " done: true\n", - " experiment_id: 3699644e85ac439cb7c1a36ed0976307\n", - " experiment_tag: 4_iterations=100,x1=0.6647,x2=0.2075,x3=0.3595,x4=0.7046,x5=0.7559,x6=0.8124\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.530347488145437\n", - " landscape: -0.011983676977099367\n", - " node_ip: 127.0.0.1\n", - " pid: 44728\n", - " time_since_restore: 2.6206929683685303\n", - " time_this_iter_s: 0.027359962463378906\n", - " time_total_s: 2.6206929683685303\n", - " timestamp: 1658498667\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 2faee7c0\n", - " warmup_time: 0.0027179718017578125\n", - " \n", - "Result for objective_2fa776c0:\n", - " date: 2022-07-22_15-04-27\n", - " done: true\n", - " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", - " experiment_tag: 2_iterations=100,x1=0.7448,x2=0.7545,x3=0.0950,x4=0.2739,x5=0.0967,x6=0.3689\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.1634068454629019\n", - " landscape: -0.11285961764770336\n", - " node_ip: 127.0.0.1\n", - " pid: 44726\n", - " time_since_restore: 2.6361019611358643\n", - " time_this_iter_s: 0.0264589786529541\n", - " time_total_s: 2.6361019611358643\n", - " timestamp: 1658498667\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 2fa776c0\n", - " warmup_time: 0.0026290416717529297\n", - " \n", - "Result for objective_32c9acd8:\n", - " date: 2022-07-22_15-04-27\n", - " done: false\n", - " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.1686440476629836\n", - " landscape: -0.9046216637367911\n", - " node_ip: 127.0.0.1\n", - " pid: 44726\n", - " time_since_restore: 0.00020194053649902344\n", - " time_this_iter_s: 0.00020194053649902344\n", - " time_total_s: 0.00020194053649902344\n", - " timestamp: 1658498667\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 32c9acd8\n", - " warmup_time: 0.0026290416717529297\n", - " \n", - "Result for objective_2fabaa1a:\n", - " date: 2022-07-22_15-04-27\n", - " done: true\n", - " experiment_id: eb9287e4fe5f44c7868dc943e2642312\n", - " experiment_tag: 3_iterations=100,x1=0.4057,x2=0.3746,x3=0.9356,x4=0.2222,x5=0.7872,x6=0.0081\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.3599537840291782\n", - " landscape: -0.11348012497414121\n", - " node_ip: 127.0.0.1\n", - " pid: 44727\n", - " time_since_restore: 2.623929977416992\n", - " time_this_iter_s: 0.032716989517211914\n", - " time_total_s: 2.623929977416992\n", - " timestamp: 1658498667\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 2fabaa1a\n", - " warmup_time: 0.0025510787963867188\n", - " \n", - "Result for objective_32d8dd20:\n", - " date: 2022-07-22_15-04-30\n", - " done: false\n", - " experiment_id: 171527593b0f4cbf941c0a03faaf0953\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.2869105702896437\n", - " landscape: -0.24722262157458608\n", - " node_ip: 127.0.0.1\n", - " pid: 44758\n", - " time_since_restore: 0.00021886825561523438\n", - " time_this_iter_s: 0.00021886825561523438\n", - " time_total_s: 0.00021886825561523438\n", - " timestamp: 1658498670\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 32d8dd20\n", - " warmup_time: 0.002732992172241211\n", - " \n", - "Result for objective_32cf8ca2:\n", - " date: 2022-07-22_15-04-29\n", - " done: false\n", - " experiment_id: 37610500f6df493aae4e7e46bb21bf09\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.1817810425508524\n", - " landscape: -0.14653248187442922\n", - " node_ip: 127.0.0.1\n", - " pid: 44756\n", - " time_since_restore: 0.00025081634521484375\n", - " time_this_iter_s: 0.00025081634521484375\n", - " time_total_s: 0.00025081634521484375\n", - " timestamp: 1658498669\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 32cf8ca2\n", - " warmup_time: 0.0032138824462890625\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:30] ax.service.ax_client: Completed trial 4 with data: {'landscape': (-0.00678, None), 'l2norm': (1.80573, None)}.\n", - "[INFO 07-22 15:04:30] ax.service.ax_client: Generated new trial 8 with parameters {'x1': 0.454189, 'x2': 0.271772, 'x3': 0.530871, 'x4': 0.991841, 'x5': 0.691843, 'x6': 0.472366, 'iterations': 100}.\n", - "[INFO 07-22 15:04:30] ax.service.ax_client: Completed trial 5 with data: {'landscape': (-0.904622, None), 'l2norm': (1.168644, None)}.\n", - "[INFO 07-22 15:04:30] ax.service.ax_client: Generated new trial 9 with parameters {'x1': 0.265264, 'x2': 0.924884, 'x3': 0.151716, 'x4': 0.436026, 'x5': 0.85731, 'x6': 0.08981, 'iterations': 100}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_313d3d3a:\n", - " date: 2022-07-22_15-04-30\n", - " done: true\n", - " experiment_id: fa7afd557e154fbebe4f54d8eedb3573\n", - " experiment_tag: 5_iterations=100,x1=0.0419,x2=0.9928,x3=0.9060,x4=0.5944,x5=0.8254,x6=0.6464\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.805729990121368\n", - " landscape: -0.006779757704679272\n", - " node_ip: 127.0.0.1\n", - " pid: 44747\n", - " time_since_restore: 3.1623308658599854\n", - " time_this_iter_s: 0.02911996841430664\n", - " time_total_s: 3.1623308658599854\n", - " timestamp: 1658498670\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 313d3d3a\n", - " warmup_time: 0.0029790401458740234\n", - " \n", - "Result for objective_32c9acd8:\n", - " date: 2022-07-22_15-04-30\n", - " done: true\n", - " experiment_id: c555bfed13ac43e5b8c8e9f6d4b9b2f7\n", - " experiment_tag: 6_iterations=100,x1=0.1261,x2=0.7034,x3=0.3447,x4=0.3374,x5=0.4014,x6=0.6792\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.1686440476629836\n", - " landscape: -0.9046216637367911\n", - " node_ip: 127.0.0.1\n", - " pid: 44726\n", - " time_since_restore: 3.1211891174316406\n", - " time_this_iter_s: 0.02954697608947754\n", - " time_total_s: 3.1211891174316406\n", - " timestamp: 1658498670\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 32c9acd8\n", - " warmup_time: 0.0026290416717529297\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:32] ax.service.ax_client: Completed trial 7 with data: {'landscape': (-0.247223, None), 'l2norm': (1.286911, None)}.\n", - "[INFO 07-22 15:04:32] ax.service.ax_client: Completed trial 6 with data: {'landscape': (-0.146532, None), 'l2norm': (1.181781, None)}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_32d8dd20:\n", - " date: 2022-07-22_15-04-32\n", - " done: true\n", - " experiment_id: 171527593b0f4cbf941c0a03faaf0953\n", - " experiment_tag: 8_iterations=100,x1=0.6032,x2=0.4091,x3=0.7291,x4=0.0826,x5=0.5729,x6=0.5083\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.2869105702896437\n", - " landscape: -0.24722262157458608\n", - " node_ip: 127.0.0.1\n", - " pid: 44758\n", - " time_since_restore: 2.6415798664093018\n", - " time_this_iter_s: 0.026781082153320312\n", - " time_total_s: 2.6415798664093018\n", - " timestamp: 1658498672\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 32d8dd20\n", - " warmup_time: 0.002732992172241211\n", - " \n", - "Result for objective_32cf8ca2:\n", - " date: 2022-07-22_15-04-32\n", - " done: true\n", - " experiment_id: 37610500f6df493aae4e7e46bb21bf09\n", - " experiment_tag: 7_iterations=100,x1=0.0911,x2=0.3041,x3=0.8698,x4=0.4054,x5=0.5679,x6=0.2286\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.1817810425508524\n", - " landscape: -0.14653248187442922\n", - " node_ip: 127.0.0.1\n", - " pid: 44756\n", - " time_since_restore: 2.707913875579834\n", - " time_this_iter_s: 0.027456998825073242\n", - " time_total_s: 2.707913875579834\n", - " timestamp: 1658498672\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 32cf8ca2\n", - " warmup_time: 0.0032138824462890625\n", - " \n", - "Result for objective_34adf04a:\n", - " date: 2022-07-22_15-04-33\n", - " done: false\n", - " experiment_id: 4f65c5b68f5c49d98fda388e37c83deb\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.4991655675380078\n", - " landscape: -0.01329150870283869\n", - " node_ip: 127.0.0.1\n", - " pid: 44768\n", - " time_since_restore: 0.00021600723266601562\n", - " time_this_iter_s: 0.00021600723266601562\n", - " time_total_s: 0.00021600723266601562\n", - " timestamp: 1658498673\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 34adf04a\n", - " warmup_time: 0.0027239322662353516\n", - " \n", - "Result for objective_34b7abda:\n", - " date: 2022-07-22_15-04-33\n", - " done: false\n", - " experiment_id: f135a2c40f5644ba9d2ae096a9dd10e0\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " l2norm: 1.3718451333547932\n", - " landscape: -1.6624439263544026\n", - " node_ip: 127.0.0.1\n", - " pid: 44771\n", - " time_since_restore: 0.0002338886260986328\n", - " time_this_iter_s: 0.0002338886260986328\n", - " time_total_s: 0.0002338886260986328\n", - " timestamp: 1658498673\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 0\n", - " training_iteration: 1\n", - " trial_id: 34b7abda\n", - " warmup_time: 0.002721071243286133\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 07-22 15:04:35] ax.service.ax_client: Completed trial 8 with data: {'landscape': (-0.013292, None), 'l2norm': (1.499166, None)}.\n", - "[INFO 07-22 15:04:35] ax.service.ax_client: Completed trial 9 with data: {'landscape': (-1.662444, None), 'l2norm': (1.371845, None)}.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for objective_34adf04a:\n", - " date: 2022-07-22_15-04-35\n", - " done: true\n", - " experiment_id: 4f65c5b68f5c49d98fda388e37c83deb\n", - " experiment_tag: 9_iterations=100,x1=0.4542,x2=0.2718,x3=0.5309,x4=0.9918,x5=0.6918,x6=0.4724\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.4991655675380078\n", - " landscape: -0.01329150870283869\n", - " node_ip: 127.0.0.1\n", - " pid: 44768\n", - " time_since_restore: 2.7032668590545654\n", - " time_this_iter_s: 0.029300928115844727\n", - " time_total_s: 2.7032668590545654\n", - " timestamp: 1658498675\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 34adf04a\n", - " warmup_time: 0.0027239322662353516\n", - " \n", - "Result for objective_34b7abda:\n", - " date: 2022-07-22_15-04-35\n", - " done: true\n", - " experiment_id: f135a2c40f5644ba9d2ae096a9dd10e0\n", - " experiment_tag: 10_iterations=100,x1=0.2653,x2=0.9249,x3=0.1517,x4=0.4360,x5=0.8573,x6=0.0898\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 100\n", - " l2norm: 1.3718451333547932\n", - " landscape: -1.6624439263544026\n", - " node_ip: 127.0.0.1\n", - " pid: 44771\n", - " time_since_restore: 2.6852078437805176\n", - " time_this_iter_s: 0.029579877853393555\n", - " time_total_s: 2.6852078437805176\n", - " timestamp: 1658498675\n", - " timesteps_since_restore: 0\n", - " timesteps_total: 99\n", - " training_iteration: 100\n", - " trial_id: 34b7abda\n", - " warmup_time: 0.002721071243286133\n", - " \n" - ] - } - ], - "source": [ - "tuner = tune.Tuner(\n", - " objective,\n", - " tune_config=tune.TuneConfig(\n", - " metric=\"landscape\",\n", - " mode=\"min\",\n", - " search_alg=algo,\n", - " num_samples=num_samples,\n", - " ),\n", - " run_config=tune.RunConfig(\n", - " name=\"ax\",\n", - " stop={\"timesteps_total\": stop_timesteps}\n", - " ),\n", - " param_space=search_space,\n", - ")\n", - "results = tuner.fit()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "860b53b0", - "metadata": {}, - "source": [ - "And now we have the hyperparameters found to minimize the mean loss." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "12906421", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best hyperparameters found were: {'iterations': 100, 'x1': 0.26526361983269453, 'x2': 0.9248840995132923, 'x3': 0.15171580761671066, 'x4': 0.43602637108415365, 'x5': 0.8573104059323668, 'x6': 0.08981018699705601}\n" - ] - } - ], - "source": [ - "print(\"Best hyperparameters found were: \", results.get_best_result().config)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "68872424", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [], - "source": [ - "ray.shutdown()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - }, - "orphan": true - }, - "nbformat": 4, - "nbformat_minor": 5 -} + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/doc/source/tune/examples/horovod_simple.ipynb b/doc/source/tune/examples/horovod_simple.ipynb deleted file mode 100644 index 4297b526e2c7..000000000000 --- a/doc/source/tune/examples/horovod_simple.ipynb +++ /dev/null @@ -1,214 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "8b66fbef", - "metadata": {}, - "source": [ - "(tune-horovod-example)=\n", - "\n", - "# Using Horovod with Tune\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    \n", - "\n", - "```{image} /images/horovod.png\n", - ":align: center\n", - ":alt: Horovod Logo\n", - ":height: 120px\n", - ":target: https://horovod.ai/\n", - "```\n", - "\n", - "```{contents}\n", - ":backlinks: none\n", - ":local: true\n", - "```\n", - "\n", - "## Example" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "82188b4b", - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import time\n", - "import torch\n", - "\n", - "import ray\n", - "from ray import tune\n", - "from ray.train.horovod import HorovodTrainer\n", - "from ray.train import ScalingConfig\n", - "from ray.tune.tune_config import TuneConfig\n", - "from ray.tune.tuner import Tuner\n", - "\n", - "\n", - "def sq(x):\n", - " m2 = 1.0\n", - " m1 = -20.0\n", - " m0 = 50.0\n", - " return m2 * x * x + m1 * x + m0\n", - "\n", - "\n", - "def qu(x):\n", - " m3 = 10.0\n", - " m2 = 5.0\n", - " m1 = -20.0\n", - " m0 = -5.0\n", - " return m3 * x * x * x + m2 * x * x + m1 * x + m0\n", - "\n", - "\n", - "class Net(torch.nn.Module):\n", - " def __init__(self, mode=\"sq\"):\n", - " super(Net, self).__init__()\n", - "\n", - " if mode == \"square\":\n", - " self.mode = 0\n", - " self.param = torch.nn.Parameter(torch.FloatTensor([1.0, -1.0]))\n", - " else:\n", - " self.mode = 1\n", - " self.param = torch.nn.Parameter(torch.FloatTensor([1.0, -1.0, 1.0]))\n", - "\n", - " def forward(self, x):\n", - " if ~self.mode:\n", - " return x * x + self.param[0] * x + self.param[1]\n", - " else:\n", - " return_val = 10 * x * x * x\n", - " return_val += self.param[0] * x * x\n", - " return_val += self.param[1] * x + self.param[2]\n", - " return return_val\n", - "\n", - "\n", - "def train_loop_per_worker(config):\n", - " import torch\n", - " import horovod.torch as hvd\n", - "\n", - " hvd.init()\n", - " device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", - " mode = config[\"mode\"]\n", - " net = Net(mode).to(device)\n", - " optimizer = torch.optim.SGD(\n", - " net.parameters(),\n", - " lr=config[\"lr\"],\n", - " )\n", - " optimizer = hvd.DistributedOptimizer(optimizer)\n", - "\n", - " num_steps = 5\n", - " print(hvd.size())\n", - " np.random.seed(1 + hvd.rank())\n", - " torch.manual_seed(1234)\n", - " # To ensure consistent initialization across workers,\n", - " hvd.broadcast_parameters(net.state_dict(), root_rank=0)\n", - " hvd.broadcast_optimizer_state(optimizer, root_rank=0)\n", - "\n", - " start = time.time()\n", - " x_max = config[\"x_max\"]\n", - " for step in range(1, num_steps + 1):\n", - " features = torch.Tensor(np.random.rand(1) * 2 * x_max - x_max).to(device)\n", - " if mode == \"square\":\n", - " labels = sq(features)\n", - " else:\n", - " labels = qu(features)\n", - " optimizer.zero_grad()\n", - " outputs = net(features)\n", - " loss = torch.nn.MSELoss()(outputs, labels)\n", - " loss.backward()\n", - "\n", - " optimizer.step()\n", - " time.sleep(0.1)\n", - " tune.report(dict(loss=loss.item()))\n", - " total = time.time() - start\n", - " print(f\"Took {total:0.3f} s. Avg: {total / num_steps:0.3f} s.\")\n", - "\n", - "\n", - "def tune_horovod(num_workers, num_samples, use_gpu, mode=\"square\", x_max=1.0):\n", - " horovod_trainer = HorovodTrainer(\n", - " train_loop_per_worker=train_loop_per_worker,\n", - " scaling_config=ScalingConfig(\n", - " trainer_resources={\"CPU\": 0}, num_workers=num_workers, use_gpu=use_gpu\n", - " ),\n", - " train_loop_config={\"mode\": mode, \"x_max\": x_max},\n", - " )\n", - "\n", - " tuner = Tuner(\n", - " horovod_trainer,\n", - " param_space={\"train_loop_config\": {\"lr\": tune.uniform(0.1, 1)}},\n", - " tune_config=TuneConfig(mode=\"min\", metric=\"loss\", num_samples=num_samples),\n", - " )\n", - "\n", - " result_grid = tuner.fit()\n", - "\n", - " print(\"Best hyperparameters found were: \", result_grid.get_best_result().config)\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " import argparse\n", - "\n", - " parser = argparse.ArgumentParser()\n", - " parser.add_argument(\n", - " \"--mode\", type=str, default=\"square\", choices=[\"square\", \"cubic\"]\n", - " )\n", - " parser.add_argument(\n", - " \"--learning_rate\", type=float, default=0.1, dest=\"learning_rate\"\n", - " )\n", - " parser.add_argument(\"--x_max\", type=float, default=1.0, dest=\"x_max\")\n", - " parser.add_argument(\"--gpu\", action=\"store_true\")\n", - " parser.add_argument(\n", - " \"--smoke-test\", action=\"store_true\", help=(\"Finish quickly for testing.\")\n", - " )\n", - " parser.add_argument(\"--num-workers\", type=int, default=2)\n", - " args, _ = parser.parse_known_args()\n", - "\n", - " if args.smoke_test:\n", - " # Smoke test with 2 samples x 2 workers x 1 CPU/worker\n", - " # (and allocating 0 CPUs for the trainers)\n", - " ray.init(num_cpus=4)\n", - "\n", - " tune_horovod(\n", - " num_workers=args.num_workers,\n", - " num_samples=2 if args.smoke_test else 10,\n", - " use_gpu=args.gpu,\n", - " mode=args.mode,\n", - " x_max=args.x_max,\n", - " )\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ray_dev_py38", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:05:16) \n[Clang 12.0.1 ]" - }, - "orphan": true, - "vscode": { - "interpreter": { - "hash": "265d195fda5292fe8f69c6e37c435a5634a1ed3b6799724e66a975f68fa21517" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/doc/source/tune/examples/index.rst b/doc/source/tune/examples/index.rst index 0de91b153247..eeaeedaaac1c 100644 --- a/doc/source/tune/examples/index.rst +++ b/doc/source/tune/examples/index.rst @@ -32,7 +32,6 @@ ML frameworks Hugging Face Transformers Example Ray RLlib Example Keras Example - Horovod Example Ray Tune integrates with many popular machine learning frameworks. Here you find a few practical examples showing you how to tune your models. At the end of these guides you will often find links to even more examples. @@ -44,7 +43,6 @@ Ray Tune integrates with many popular machine learning frameworks. Here you find * - :doc:`Tuning RL experiments with Ray Tune and Ray Serve ` * - :doc:`Tuning XGBoost parameters with Tune ` * - :doc:`Tuning LightGBM parameters with Tune ` - * - :doc:`Tuning Horovod parameters with Tune ` * - :doc:`Tuning Hugging Face Transformers with Tune ` * - :doc:`End-to-end example for tuning a TensorFlow model <../../train/examples/tf/tune_tensorflow_mnist_example>` * - :doc:`End-to-end example for tuning a PyTorch model with PBT <../../train/examples/pytorch/tune_cifar_torch_pbt_example>` diff --git a/doc/source/tune/examples/pbt_guide.ipynb b/doc/source/tune/examples/pbt_guide.ipynb index b1e756d2d7ee..f50b3f5788be 100644 --- a/doc/source/tune/examples/pbt_guide.ipynb +++ b/doc/source/tune/examples/pbt_guide.ipynb @@ -149,7 +149,7 @@ "The example reuses some of the functions in `ray/tune/examples/mnist_pytorch.py`: this is also a good\n", "demo for how to decouple the tuning logic and original training code.\n", "\n", - "**Checkpointing saving and loading is required for PBT**, so we have to both load in the checkpoint if one is provided via `train.get_checkpoint()`, and periodically save our\n", + "**Checkpointing saving and loading is required for PBT**, so we have to both load in the checkpoint if one is provided via `tune.get_checkpoint()`, and periodically save our\n", "model state in a checkpoint via `tune.report(...)` - in this case every `checkpoint_interval` iterations, which is a config that we set later.\n", "\n", "Then, we define a PBT scheduler:" diff --git a/doc/source/tune/examples/tune-comet.ipynb b/doc/source/tune/examples/tune-comet.ipynb index 14e9678b3670..eb717ebd7d42 100644 --- a/doc/source/tune/examples/tune-comet.ipynb +++ b/doc/source/tune/examples/tune-comet.ipynb @@ -1,364 +1,177 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "3b05af3b", - "metadata": {}, - "source": [ - "(tune-comet-ref)=\n", - "\n", - "# Using Comet with Tune\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    \n", - "\n", - "[Comet](https://www.comet.ml/site/) is a tool to manage and optimize the\n", - "entire ML lifecycle, from experiment tracking, model optimization and dataset\n", - "versioning to model production monitoring.\n", - "\n", - "```{image} /images/comet_logo_full.png\n", - ":align: center\n", - ":alt: Comet\n", - ":height: 120px\n", - ":target: https://www.comet.ml/site/\n", - "```\n", - "\n", - "```{contents}\n", - ":backlinks: none\n", - ":local: true\n", - "```\n", - "\n", - "## Example\n", - "\n", - "To illustrate logging your trial results to Comet, we'll define a simple training function\n", - "that simulates a `loss` metric:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "19e3c389", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "from ray import tune\n", - "\n", - "\n", - "def train_function(config):\n", - " for i in range(30):\n", - " loss = config[\"mean\"] + config[\"sd\"] * np.random.randn()\n", - " tune.report({\"loss\": loss})" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "6fb69a24", - "metadata": {}, - "source": [ - "Now, given that you provide your Comet API key and your project name like so:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "993d5be6", - "metadata": {}, - "outputs": [], - "source": [ - "api_key = \"YOUR_COMET_API_KEY\"\n", - "project_name = \"YOUR_COMET_PROJECT_NAME\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e9ce0d76", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [], - "source": [ - "# This cell is hidden from the rendered notebook. It makes the \n", - "from unittest.mock import MagicMock\n", - "from ray.air.integrations.comet import CometLoggerCallback\n", - "\n", - "CometLoggerCallback._logger_process_cls = MagicMock\n", - "api_key = \"abc\"\n", - "project_name = \"test\"" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "d792a1b0", - "metadata": {}, - "source": [ - "You can add a Comet logger by specifying the `callbacks` argument in your `RunConfig()` accordingly:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "dbb761e7", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-07-22 15:41:21,477\tINFO services.py:1483 -- View the Ray dashboard at \u001b[1m\u001b[32mhttp://127.0.0.1:8267\u001b[39m\u001b[22m\n", - "/Users/kai/coding/ray/python/ray/tune/trainable/function_trainable.py:643: DeprecationWarning: `checkpoint_dir` in `func(config, checkpoint_dir)` is being deprecated. To save and load checkpoint in trainable functions, please use the `ray.air.session` API:\n", - "\n", - "from ray.air import session\n", - "\n", - "def train(config):\n", - " # ...\n", - " session.report({\"metric\": metric}, checkpoint=checkpoint)\n", - "\n", - "For more information please see https://docs.ray.io/en/master/ray-air/key-concepts.html#session\n", - "\n", - " DeprecationWarning,\n" - ] + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "3b05af3b", + "metadata": {}, + "source": [ + "(tune-comet-ref)=\n", + "\n", + "# Using Comet with Tune\n", + "\n", + "\n", + " \"try-anyscale-quickstart\"\n", + "\n", + "

    \n", + "\n", + "[Comet](https://www.comet.ml/site/) is a tool to manage and optimize the\n", + "entire ML lifecycle, from experiment tracking, model optimization and dataset\n", + "versioning to model production monitoring.\n", + "\n", + "```{image} /images/comet_logo_full.png\n", + ":align: center\n", + ":alt: Comet\n", + ":height: 120px\n", + ":target: https://www.comet.ml/site/\n", + "```\n", + "\n", + "```{contents}\n", + ":backlinks: none\n", + ":local: true\n", + "```\n", + "\n", + "## Example\n", + "\n", + "To illustrate logging your trial results to Comet, we'll define a simple training function\n", + "that simulates a `loss` metric:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "19e3c389", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from ray import tune\n", + "\n", + "\n", + "def train_function(config):\n", + " for i in range(30):\n", + " loss = config[\"mean\"] + config[\"sd\"] * np.random.randn()\n", + " tune.report({\"loss\": loss})" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "6fb69a24", + "metadata": {}, + "source": [ + "Now, given that you provide your Comet API key and your project name like so:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "993d5be6", + "metadata": {}, + "outputs": [], + "source": [ + "api_key = \"YOUR_COMET_API_KEY\"\n", + "project_name = \"YOUR_COMET_PROJECT_NAME\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e9ce0d76", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "# This cell is hidden from the rendered notebook. It makes the \n", + "from unittest.mock import MagicMock\n", + "from ray.air.integrations.comet import CometLoggerCallback\n", + "\n", + "CometLoggerCallback._logger_process_cls = MagicMock\n", + "api_key = \"abc\"\n", + "project_name = \"test\"" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "d792a1b0", + "metadata": {}, + "source": [ + "You can add a Comet logger by specifying the `callbacks` argument in your `RunConfig()` accordingly:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbb761e7", + "metadata": {}, + "outputs": [], + "source": [ + "from ray.air.integrations.comet import CometLoggerCallback\n", + "\n", + "tuner = tune.Tuner(\n", + " train_function,\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"loss\",\n", + " mode=\"min\",\n", + " ),\n", + " run_config=tune.RunConfig(\n", + " callbacks=[\n", + " CometLoggerCallback(\n", + " api_key=api_key, project_name=project_name, tags=[\"comet_example\"]\n", + " )\n", + " ],\n", + " ),\n", + " param_space={\"mean\": tune.grid_search([1, 2, 3]), \"sd\": tune.uniform(0.2, 0.8)},\n", + ")\n", + "results = tuner.fit()\n", + "\n", + "print(results.get_best_result().config)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "d7e46189", + "metadata": {}, + "source": [ + "## Tune Comet Logger\n", + "\n", + "Ray Tune offers an integration with Comet through the `CometLoggerCallback`,\n", + "which automatically logs metrics and parameters reported to Tune to the Comet UI.\n", + "\n", + "Click on the following dropdown to see this callback API in detail:\n", + "\n", + "```{eval-rst}\n", + ".. autoclass:: ray.air.integrations.comet.CometLoggerCallback\n", + " :noindex:\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + }, + "orphan": true }, - { - "data": { - "text/html": [ - "== Status ==
    Current time: 2022-07-22 15:41:31 (running for 00:00:06.73)
    Memory usage on this node: 9.9/16.0 GiB
    Using FIFO scheduling algorithm.
    Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/4.5 GiB heap, 0.0/2.0 GiB objects
    Current best trial: 5bf98_00000 with loss=1.0234101880766688 and parameters={'mean': 1, 'sd': 0.40575843135279466}
    Result logdir: /Users/kai/ray_results/train_function_2022-07-22_15-41-18
    Number of trials: 3/3 (3 TERMINATED)
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    Trial name status loc mean sd iter total time (s) loss
    train_function_5bf98_00000TERMINATED127.0.0.1:48140 10.405758 30 2.11758 1.02341
    train_function_5bf98_00001TERMINATED127.0.0.1:48147 20.647335 30 0.07707311.53993
    train_function_5bf98_00002TERMINATED127.0.0.1:48151 30.256568 30 0.07284313.0393


    " - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-07-22 15:41:24,693\tINFO plugin_schema_manager.py:52 -- Loading the default runtime env schemas: ['/Users/kai/coding/ray/python/ray/_private/runtime_env/../../runtime_env/schemas/working_dir_schema.json', '/Users/kai/coding/ray/python/ray/_private/runtime_env/../../runtime_env/schemas/pip_schema.json'].\n", - "COMET WARNING: As you are running in a Jupyter environment, you will need to call `experiment.end()` when finished to ensure all metrics and code are logged before exiting.\n", - "COMET ERROR: The given API key abc is invalid, please check it against the dashboard. Your experiment would not be logged \n", - "For more details, please refer to: https://www.comet.ml/docs/python-sdk/warnings-errors/\n", - "COMET WARNING: As you are running in a Jupyter environment, you will need to call `experiment.end()` when finished to ensure all metrics and code are logged before exiting.\n", - "COMET ERROR: The given API key abc is invalid, please check it against the dashboard. Your experiment would not be logged \n", - "For more details, please refer to: https://www.comet.ml/docs/python-sdk/warnings-errors/\n", - "COMET WARNING: As you are running in a Jupyter environment, you will need to call `experiment.end()` when finished to ensure all metrics and code are logged before exiting.\n", - "COMET ERROR: The given API key abc is invalid, please check it against the dashboard. Your experiment would not be logged \n", - "For more details, please refer to: https://www.comet.ml/docs/python-sdk/warnings-errors/\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Result for train_function_5bf98_00000:\n", - " date: 2022-07-22_15-41-27\n", - " done: false\n", - " experiment_id: c94e6cdedd4540e4b40e4a34fbbeb850\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " loss: 1.1009860426725162\n", - " node_ip: 127.0.0.1\n", - " pid: 48140\n", - " time_since_restore: 0.000125885009765625\n", - " time_this_iter_s: 0.000125885009765625\n", - " time_total_s: 0.000125885009765625\n", - " timestamp: 1658500887\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 5bf98_00000\n", - " warmup_time: 0.0029532909393310547\n", - " \n", - "Result for train_function_5bf98_00000:\n", - " date: 2022-07-22_15-41-29\n", - " done: true\n", - " experiment_id: c94e6cdedd4540e4b40e4a34fbbeb850\n", - " experiment_tag: 0_mean=1,sd=0.4058\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 30\n", - " loss: 1.0234101880766688\n", - " node_ip: 127.0.0.1\n", - " pid: 48140\n", - " time_since_restore: 2.1175789833068848\n", - " time_this_iter_s: 0.0022211074829101562\n", - " time_total_s: 2.1175789833068848\n", - " timestamp: 1658500889\n", - " timesteps_since_restore: 0\n", - " training_iteration: 30\n", - " trial_id: 5bf98_00000\n", - " warmup_time: 0.0029532909393310547\n", - " \n", - "Result for train_function_5bf98_00001:\n", - " date: 2022-07-22_15-41-30\n", - " done: false\n", - " experiment_id: ba865bc613d94413a37fe027123ba031\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " loss: 2.3754716847171182\n", - " node_ip: 127.0.0.1\n", - " pid: 48147\n", - " time_since_restore: 0.0001590251922607422\n", - " time_this_iter_s: 0.0001590251922607422\n", - " time_total_s: 0.0001590251922607422\n", - " timestamp: 1658500890\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 5bf98_00001\n", - " warmup_time: 0.0036537647247314453\n", - " \n", - "Result for train_function_5bf98_00001:\n", - " date: 2022-07-22_15-41-30\n", - " done: true\n", - " experiment_id: ba865bc613d94413a37fe027123ba031\n", - " experiment_tag: 1_mean=2,sd=0.6473\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 30\n", - " loss: 1.5399275480220707\n", - " node_ip: 127.0.0.1\n", - " pid: 48147\n", - " time_since_restore: 0.0770730972290039\n", - " time_this_iter_s: 0.002664804458618164\n", - " time_total_s: 0.0770730972290039\n", - " timestamp: 1658500890\n", - " timesteps_since_restore: 0\n", - " training_iteration: 30\n", - " trial_id: 5bf98_00001\n", - " warmup_time: 0.0036537647247314453\n", - " \n", - "Result for train_function_5bf98_00002:\n", - " date: 2022-07-22_15-41-31\n", - " done: false\n", - " experiment_id: 2efb6f3c4d954bcab1ea4083f138008e\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 1\n", - " loss: 3.204653294422825\n", - " node_ip: 127.0.0.1\n", - " pid: 48151\n", - " time_since_restore: 0.00014400482177734375\n", - " time_this_iter_s: 0.00014400482177734375\n", - " time_total_s: 0.00014400482177734375\n", - " timestamp: 1658500891\n", - " timesteps_since_restore: 0\n", - " training_iteration: 1\n", - " trial_id: 5bf98_00002\n", - " warmup_time: 0.0030150413513183594\n", - " \n", - "Result for train_function_5bf98_00002:\n", - " date: 2022-07-22_15-41-31\n", - " done: true\n", - " experiment_id: 2efb6f3c4d954bcab1ea4083f138008e\n", - " experiment_tag: 2_mean=3,sd=0.2566\n", - " hostname: Kais-MacBook-Pro.local\n", - " iterations_since_restore: 30\n", - " loss: 3.0393011150182865\n", - " node_ip: 127.0.0.1\n", - " pid: 48151\n", - " time_since_restore: 0.07284307479858398\n", - " time_this_iter_s: 0.0020139217376708984\n", - " time_total_s: 0.07284307479858398\n", - " timestamp: 1658500891\n", - " timesteps_since_restore: 0\n", - " training_iteration: 30\n", - " trial_id: 5bf98_00002\n", - " warmup_time: 0.0030150413513183594\n", - " \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-07-22 15:41:31,290\tINFO tune.py:738 -- Total run time: 7.36 seconds (6.72 seconds for the tuning loop).\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'mean': 1, 'sd': 0.40575843135279466}\n" - ] - } - ], - "source": [ - "from ray.air.integrations.comet import CometLoggerCallback\n", - "\n", - "tuner = tune.Tuner(\n", - " train_function,\n", - " tune_config=tune.TuneConfig(\n", - " metric=\"loss\",\n", - " mode=\"min\",\n", - " ),\n", - " run_config=tune.RunConfig(\n", - " callbacks=[\n", - " CometLoggerCallback(\n", - " api_key=api_key, project_name=project_name, tags=[\"comet_example\"]\n", - " )\n", - " ],\n", - " ),\n", - " param_space={\"mean\": tune.grid_search([1, 2, 3]), \"sd\": tune.uniform(0.2, 0.8)},\n", - ")\n", - "results = tuner.fit()\n", - "\n", - "print(results.get_best_result().config)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "d7e46189", - "metadata": {}, - "source": [ - "## Tune Comet Logger\n", - "\n", - "Ray Tune offers an integration with Comet through the `CometLoggerCallback`,\n", - "which automatically logs metrics and parameters reported to Tune to the Comet UI.\n", - "\n", - "Click on the following dropdown to see this callback API in detail:\n", - "\n", - "```{eval-rst}\n", - ".. autoclass:: ray.air.integrations.comet.CometLoggerCallback\n", - " :noindex:\n", - "```" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - }, - "orphan": true - }, - "nbformat": 4, - "nbformat_minor": 5 + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/doc/source/tune/examples/tune-pytorch-cifar.ipynb b/doc/source/tune/examples/tune-pytorch-cifar.ipynb index 6d5a77d9dff0..897c06b8d164 100644 --- a/doc/source/tune/examples/tune-pytorch-cifar.ipynb +++ b/doc/source/tune/examples/tune-pytorch-cifar.ipynb @@ -96,7 +96,7 @@ "from filelock import FileLock\n", "from torch.utils.data import random_split\n", "\n", - "from ray import train, tune\n", + "from ray import tune\n", "from ray.tune.schedulers import ASHAScheduler" ] }, diff --git a/doc/source/tune/examples/tune-pytorch-lightning.ipynb b/doc/source/tune/examples/tune-pytorch-lightning.ipynb index ad45c82ef764..84d0642d58e2 100644 --- a/doc/source/tune/examples/tune-pytorch-lightning.ipynb +++ b/doc/source/tune/examples/tune-pytorch-lightning.ipynb @@ -23,7 +23,7 @@ "\n", "The main abstraction of PyTorch Lightning is the `LightningModule` class, which should be extended by your application. There is [a great post on how to transfer your models from vanilla PyTorch to Lightning](https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09).\n", "\n", - "The class structure of PyTorch Lightning makes it very easy to define and tune model parameters. This tutorial will show you how to use Tune with Ray Train's {class}`TorchTrainer ` to find the best set of parameters for your application on the example of training a MNIST classifier. Notably, the `LightningModule` does not have to be altered at all for this - so you can use it plug and play for your existing models, assuming their parameters are configurable!\n", + "The class structure of PyTorch Lightning makes it very easy to define and tune model parameters. This tutorial will show you how to use Tune with PyTorch Lightning. Notably, the `LightningModule` does not have to be altered at all for this - so you can use it plug and play for your existing models, assuming their parameters are configurable!\n", "\n", ":::{note}\n", "To run this example, you will need to install the following:\n", @@ -47,9 +47,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ray/anaconda3/lib/python3.11/site-packages/lightning_utilities/core/imports.py:14: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n", + " import pkg_resources\n", + "/home/ray/anaconda3/lib/python3.11/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + " _torch_pytree._register_pytree_node(\n", + "/home/ray/anaconda3/lib/python3.11/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", + " _torch_pytree._register_pytree_node(\n" + ] + } + ], "source": [ "import os\n", "import torch\n", @@ -202,22 +215,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Define a training function that creates model, datamodule, and lightning trainer with Ray Train utilities." + "Define a training function that creates model, `DataModule`, and the PyTorch Lightning `Trainer`." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "from ray.train.lightning import (\n", - " RayDDPStrategy,\n", - " RayLightningEnvironment,\n", - " RayTrainReportCallback,\n", - " prepare_trainer,\n", - ")\n", - "\n", + "from ray.tune.integration.pytorch_lightning import TuneReportCheckpointCallback\n", "\n", "def train_func(config):\n", " dm = MNISTDataModule(batch_size=config[\"batch_size\"])\n", @@ -226,12 +233,9 @@ " trainer = pl.Trainer(\n", " devices=\"auto\",\n", " accelerator=\"auto\",\n", - " strategy=RayDDPStrategy(),\n", - " callbacks=[RayTrainReportCallback()],\n", - " plugins=[RayLightningEnvironment()],\n", + " callbacks=[TuneReportCheckpointCallback()],\n", " enable_progress_bar=False,\n", " )\n", - " trainer = prepare_trainer(trainer)\n", " trainer.fit(model, datamodule=dm)" ] }, @@ -250,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -269,7 +273,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -295,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -326,13 +330,13 @@ "outputs": [], "source": [ "if SMOKE_TEST:\n", - " num_epochs = 3\n", + " num_epochs = 1\n", " num_samples = 3" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -345,35 +349,21 @@ "source": [ "### Training with GPUs\n", "\n", - "We can specify the number of resources, including GPUs, that Tune should request for each trial.\n", - "\n", - "`TorchTrainer` takes care of environment setup for Distributed Data Parallel training, the model and data will automatically get distributed across GPUs. You only need to set the number of GPUs per worker in `ScalingConfig` and also set `accelerator=\"auto\"` in your training function." + "We can specify the number of resources, including GPUs, that Tune should request for each trial." ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "from ray.train import RunConfig, ScalingConfig, CheckpointConfig\n", - "\n", - "scaling_config = ScalingConfig(\n", - " num_workers=3, use_gpu=True, resources_per_worker={\"CPU\": 1, \"GPU\": 1}\n", - ")\n", - "\n", - "run_config = RunConfig(\n", - " checkpoint_config=CheckpointConfig(\n", - " num_to_keep=2,\n", - " checkpoint_score_attribute=\"ptl/val_accuracy\",\n", - " checkpoint_score_order=\"max\",\n", - " ),\n", - ")" + "train_fn_with_resources = tune.with_resources(train_func, resources={\"CPU\": 1, \"GPU\": 1})" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "tags": [ "remove-cell" @@ -382,25 +372,7 @@ "outputs": [], "source": [ "if SMOKE_TEST:\n", - " scaling_config = ScalingConfig(\n", - " num_workers=3, use_gpu=False, resources_per_worker={\"CPU\": 1}\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "from ray.train.torch import TorchTrainer\n", - "\n", - "# Define a TorchTrainer without hyper-parameters for Tuner\n", - "ray_trainer = TorchTrainer(\n", - " train_func,\n", - " scaling_config=scaling_config,\n", - " run_config=run_config,\n", - ")" + " train_fn_with_resources = tune.with_resources(train_func, resources={\"CPU\": 1})\n" ] }, { @@ -414,853 +386,33 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": { "tags": [ "hide-output" ] }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    Tune Status

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    Running for: 00:05:13.92
    Memory: 20.5/186.6 GiB
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    System Info

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    Bracket: Iter 4.000: 0.9709362387657166 | Iter 2.000: 0.9617255330085754 | Iter 1.000: 0.9477165043354034
    Logical resource usage: 4.0/48 CPUs, 3.0/4 GPUs (0.0/1.0 accelerator_type:None)\n", - "
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    Trial name status loc train_loop_config/ba\n", - "tch_size train_loop_config/la\n", - "yer_1_size train_loop_config/la\n", - "yer_2_size train_loop_config/lr iter total time (s) ptl/train_loss ptl/train_accuracy ptl/val_loss
    TorchTrainer_5144b_00000TERMINATED10.0.0.84:63990 32 64256 0.0316233 5 29.3336 0.973613 0.766667 0.580943
    TorchTrainer_5144b_00001TERMINATED10.0.0.84:71294 64128 64 0.0839278 1 12.2275 2.19514 0.266667 1.56644
    TorchTrainer_5144b_00002TERMINATED10.0.0.84:73540 32 64256 0.000233034 5 29.1314 0.146903 0.933333 0.114229
    TorchTrainer_5144b_00003TERMINATED10.0.0.84:80840 64128 64 0.00109259 5 21.6534 0.0474913 0.966667 0.0714878
    TorchTrainer_5144b_00004TERMINATED10.0.0.84:88077 32 32128 0.00114083 5 29.6367 0.0990443 0.966667 0.0891999
    TorchTrainer_5144b_00005TERMINATED10.0.0.84:95388 32 64 64 0.00924264 4 25.7089 0.0349707 1 0.153937
    TorchTrainer_5144b_00006TERMINATED10.0.0.84:10143432128256 0.00325671 5 29.5763 0.0708755 0.966667 0.0820903
    TorchTrainer_5144b_00007TERMINATED10.0.0.84:10875032 32 64 0.000123766 1 13.9326 0.27464 0.966667 0.401102
    TorchTrainer_5144b_00008TERMINATED10.0.0.84:11101964128256 0.00371762 5 21.8337 0.00108961 1 0.0579874
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To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=63990)\u001b[0m 2023-09-07 13:58:43.907088: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=63990)\u001b[0m 2023-09-07 13:58:43.907153: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(TrainTrainable pid=63990)\u001b[0m 2023-09-07 13:58:43.907160: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(TorchTrainer pid=63990)\u001b[0m Starting distributed worker processes: ['64101 (10.0.0.84)', '64102 (10.0.0.84)', '64103 (10.0.0.84)']\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m Setting up process group for: env:// [rank=0, world_size=3]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m 2023-09-07 13:58:50.419714: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 2023-09-07 13:58:50.419718: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m 2023-09-07 13:58:50.555450: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m 2023-09-07 13:58:51.317522: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m 2023-09-07 13:58:51.317610: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m 2023-09-07 13:58:51.317618: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m Missing logger folder: /home/ray/ray_results/TorchTrainer_2023-09-07_13-58-38/TorchTrainer_5144b_00000_0_batch_size=32,layer_1_size=64,layer_2_size=256,lr=0.0316_2023-09-07_13-58-38/lightning_logs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/pytorch_lightning/loops/utilities.py:92: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m rank_zero_warn(\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m GPU available: True, used: True\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m TPU available: False, using: 0 TPU cores\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m IPU available: False, using: 0 IPUs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m HPU available: False, using: 0 HPUs\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to /tmp/tmpydcy4598/MNIST/raw/train-images-idx3-ubyte.gz\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 9912422/9912422 [00:00<00:00, 120812916.07it/s]\n", - "100%|██████████| 9912422/9912422 [00:00<00:00, 101305832.98it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m Extracting /tmp/tmpydcy4598/MNIST/raw/train-images-idx3-ubyte.gz to /tmp/tmpydcy4598/MNIST/raw\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m LOCAL_RANK: 1 - CUDA_VISIBLE_DEVICES: [0,1,2]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m | Name | Type | Params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m ------------------------------------------------\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 0 | accuracy | MulticlassAccuracy | 0 \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 1 | layer_1 | Linear | 50.2 K\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 2 | layer_2 | Linear | 16.6 K\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 3 | layer_3 | Linear | 2.6 K \n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m ------------------------------------------------\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 69.5 K Trainable params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 0 Non-trainable params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 69.5 K Total params\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 0.278 Total estimated model params size (MB)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m [W reducer.cpp:1300] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[1m\u001b[36m(autoscaler +7m33s)\u001b[0m [autoscaler] Current infeasible resource requests: {\"resourcesBundle\":{\"bundle_group_289661bddaad4820732f117e33d702000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_d14ed93ffcb267f77984fc5e097c02000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_9d0f0584af89d9185ad87362359402000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_b8fdebe2246b003d6e5d0451465b02000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_35d0a11b5707ef020363a907e5fc02000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_ba2b3c448809cad351fc7dc545a402000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_05283c0cbfbb775ad68aacf47bc702000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_2cd0e3d931d1e356a1ab0f3afb6a02000000\":0.001}}, {\"resourcesBundle\":{\"bundle_group_14f2bd9329dfcde35c77e8474b0f02000000\":0.001}}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=64102)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/home/ray/ray_results/TorchTrainer_2023-09-07_13-58-38/TorchTrainer_5144b_00000_0_batch_size=32,layer_1_size=64,layer_2_size=256,lr=0.0316_2023-09-07_13-58-38/checkpoint_000000)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64103)\u001b[0m 2023-09-07 13:58:50.448640: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64103)\u001b[0m To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 2023-09-07 13:58:50.555450: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 2023-09-07 13:58:51.317611: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m 2023-09-07 13:58:51.317618: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. 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This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. 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If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m /home/ray/anaconda3/lib/python3.9/site-packages/pytorch_lightning/loops/utilities.py:92: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m rank_zero_warn(\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m GPU available: True, used: True\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m TPU available: False, using: 0 TPU cores\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m IPU available: False, using: 0 IPUs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71407)\u001b[0m HPU available: False, using: 0 HPUs\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=71408)\u001b[0m Missing logger folder: /home/ray/ray_results/TorchTrainer_2023-09-07_13-58-38/TorchTrainer_5144b_00001_1_batch_size=64,layer_1_size=128,layer_2_size=64,lr=0.0839_2023-09-07_13-58-38/lightning_logs\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=71408)\u001b[0m Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\u001b[32m [repeated 12x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to /tmp/tmpt8k8jglf/MNIST/raw/t10k-labels-idx1-ubyte.gz\u001b[32m [repeated 11x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m Extracting /tmp/tmpt8k8jglf/MNIST/raw/t10k-labels-idx1-ubyte.gz to /tmp/tmpt8k8jglf/MNIST/raw\u001b[32m [repeated 11x across cluster]\u001b[0m\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=64101)\u001b[0m \u001b[32m [repeated 11x across cluster]\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 0%| | 0/9912422 [00:00`.\n", "- {doc}`[Basic] Train a PyTorch Lightning Image Classifier with Ray Train <../../train/examples/lightning/lightning_mnist_example>`.\n", "- {doc}`[Intermediate] Fine-tune a BERT Text Classifier with PyTorch Lightning and Ray Train <../../train/examples/lightning/lightning_cola_advanced>`\n", "- {doc}`[Advanced] Fine-tune dolly-v2-7b with PyTorch Lightning and FSDP <../../train/examples/lightning/dolly_lightning_fsdp_finetuning>`\n", "- {doc}`/tune/examples/includes/mlflow_ptl_example`: Example for using [MLflow](https://github.com/mlflow/mlflow/)\n", " and [Pytorch Lightning](https://github.com/PyTorchLightning/pytorch-lightning) with Ray Tune.\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { @@ -1335,7 +493,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.11.11" } }, "nbformat": 4, diff --git a/doc/source/tune/examples/tune-vanilla-pytorch-lightning.ipynb b/doc/source/tune/examples/tune-vanilla-pytorch-lightning.ipynb index f499b5bd2e62..0aa17efabf5c 100644 --- a/doc/source/tune/examples/tune-vanilla-pytorch-lightning.ipynb +++ b/doc/source/tune/examples/tune-vanilla-pytorch-lightning.ipynb @@ -643,7 +643,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "746e962a", "metadata": {}, "outputs": [], @@ -665,7 +665,7 @@ " ],\n", " }\n", "\n", - " checkpoint = train.get_checkpoint()\n", + " checkpoint = tune.get_checkpoint()\n", " if checkpoint:\n", " with checkpoint.as_directory() as checkpoint_dir:\n", " kwargs[\"resume_from_checkpoint\"] = os.path.join(checkpoint_dir, \"checkpoint\")\n", diff --git a/doc/source/tune/examples/tune-xgboost.ipynb b/doc/source/tune/examples/tune-xgboost.ipynb index 7296f349bdd6..3efd2e1dc3bb 100644 --- a/doc/source/tune/examples/tune-xgboost.ipynb +++ b/doc/source/tune/examples/tune-xgboost.ipynb @@ -1,940 +1,940 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "edce67b9", - "metadata": {}, - "source": [ - "# Tuning XGBoost hyperparameters with Ray Tune\n", - "\n", - "\n", - " \"try-anyscale-quickstart\"\n", - "\n", - "

    \n", - "\n", - "(tune-xgboost-ref)=\n", - "\n", - "This tutorial demonstrates how to optimize XGBoost models using Ray Tune. You'll learn:\n", - "- The basics of XGBoost and its key hyperparameters\n", - "- How to train a simple XGBoost classifier (without hyperparameter tuning)\n", - "- How to use Ray Tune to find optimal hyperparameters\n", - "- Advanced techniques like early stopping and GPU acceleration\n", - "\n", - "XGBoost is currently one of the most popular machine learning algorithms. It performs\n", - "very well on a large selection of tasks, and was the key to success in many Kaggle\n", - "competitions.\n", - "\n", - "```{image} /images/xgboost_logo.png\n", - ":align: center\n", - ":alt: XGBoost\n", - ":target: https://xgboost.readthedocs.io/en/latest/\n", - ":width: 200px\n", - "```\n", - "\n", - "```{contents}\n", - ":depth: 2\n", - "```\n", - "\n", - ":::{note}\n", - "To run this tutorial, you will need to install the following:\n", - "\n", - "```bash\n", - "$ pip install -q \"ray[tune]\" scikit-learn xgboost\n", - "```\n", - ":::\n", - "\n", - "## What is XGBoost\n", - "\n", - "\n", - "XGBoost (e**X**treme **G**radient **Boost**ing) is a powerful and efficient implementation of gradient boosted [decision trees](https://en.wikipedia.org/wiki/Decision_tree). It has become one of the most popular machine learning algorithms due to its:\n", - "\n", - "1. Performance: Consistently strong results across many types of problems\n", - "2. Speed: Highly optimized implementation that can leverage GPU acceleration \n", - "3. Flexibility: Works with many types of prediction problems (classification, regression, ranking)\n", - "\n", - "Key Concepts:\n", - "- Uses an ensemble of simple decision trees\n", - "- Trees are built sequentially, with each tree correcting errors from previous trees\n", - "- Employs gradient descent to minimize a loss function\n", - "- Even though single trees can have high bias, using a boosted ensemble can result in better predictions and reduced bias\n", - "\n", - "\n", - ":::{figure} /images/tune-xgboost-ensemble.svg\n", - ":alt: Single vs. ensemble learning\n", - "\n", - "A single decision tree (left) might be able to get to an accuracy of 70%\n", - "for a binary classification task. By combining the output of several small\n", - "decision trees, an ensemble learner (right) might end up with a higher accuracy\n", - "of 90%.\n", - ":::\n", - "\n", - "Boosting algorithms start with a single small decision tree and evaluate how well\n", - "it predicts the given examples. When building the next tree, those samples that have\n", - "been misclassified before have a higher chance of being used to generate the tree.\n", - "This is useful because it avoids overfitting to samples that can be easily classified\n", - "and instead tries to come up with models that are able to classify hard examples, too.\n", - "Please see [here for a more thorough introduction to bagging and boosting algorithms](https://towardsdatascience.com/ensemble-methods-bagging-boosting-and-stacking-c9214a10a205).\n", - "\n", - "There are many boosting algorithms. In their core, they are all very similar. XGBoost\n", - "uses second-level derivatives to find splits that maximize the *gain* (the inverse of\n", - "the *loss*) - hence the name. In practice, XGBoost usually shows the best performance\n", - "against other boosting algorithms, although LightGBM tends to be [faster and more\n", - "memory efficient](https://xgboosting.com/xgboost-vs-lightgbm/), especially for large datasets.\n", - "\n", - "## Training a simple XGBoost classifier\n", - "\n", - "Let's first see how a simple XGBoost classifier can be trained. We'll use the\n", - "`breast_cancer`-Dataset included in the `sklearn` dataset collection. This is\n", - "a binary classification dataset. Given 30 different input features, our task is to\n", - "learn to identify subjects with breast cancer and those without.\n", - "\n", - "Here is the full code to train a simple XGBoost model:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "63611b7f", - "metadata": {}, - "outputs": [], - "source": [ - "SMOKE_TEST = False" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "be0b8321", - "metadata": { - "tags": [ - "hide-cell" - ] - }, - "outputs": [], - "source": [ - "SMOKE_TEST = True" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "77b3c71c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accuracy: 0.9650\n" - ] - } - ], - "source": [ - "import sklearn.datasets\n", - "import sklearn.metrics\n", - "from sklearn.model_selection import train_test_split\n", - "import xgboost as xgb\n", - "\n", - "\n", - "def train_breast_cancer(config):\n", - " # Load dataset\n", - " data, labels = sklearn.datasets.load_breast_cancer(return_X_y=True)\n", - " # Split into train and test set\n", - " train_x, test_x, train_y, test_y = train_test_split(data, labels, test_size=0.25)\n", - " # Build input matrices for XGBoost\n", - " train_set = xgb.DMatrix(train_x, label=train_y)\n", - " test_set = xgb.DMatrix(test_x, label=test_y)\n", - " # Train the classifier\n", - " results = {}\n", - " bst = xgb.train(\n", - " config,\n", - " train_set,\n", - " evals=[(test_set, \"eval\")],\n", - " evals_result=results,\n", - " verbose_eval=False,\n", - " )\n", - " return results\n", - "\n", - "\n", - "results = train_breast_cancer(\n", - " {\"objective\": \"binary:logistic\", \"eval_metric\": [\"logloss\", \"error\"]}\n", - ")\n", - "accuracy = 1.0 - results[\"eval\"][\"error\"][-1]\n", - "print(f\"Accuracy: {accuracy:.4f}\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ec2a13f8", - "metadata": {}, - "source": [ - "As you can see, the code is quite simple. First, the dataset is loaded and split\n", - "into a `test` and `train` set. The XGBoost model is trained with `xgb.train()`.\n", - "XGBoost automatically evaluates metrics we specified on the test set. In our case\n", - "it calculates the *logloss* and the prediction *error*, which is the percentage of\n", - "misclassified examples. To calculate the accuracy, we just have to subtract the error\n", - "from `1.0`. Even in this simple example, most runs result\n", - "in a good accuracy of over `0.90`.\n", - "\n", - "Maybe you have noticed the `config` parameter we pass to the XGBoost algorithm. This\n", - "is a {class}`dict` in which you can specify parameters for the XGBoost algorithm. In this\n", - "simple example, the only parameters we passed are the `objective` and `eval_metric` parameters.\n", - "The value `binary:logistic` tells XGBoost that we aim to train a logistic regression model for\n", - "a binary classification task. You can find an overview over all valid objectives\n", - "[here in the XGBoost documentation](https://xgboost.readthedocs.io/en/latest/parameter.html#learning-task-parameters).\n", - "\n", - "## Scaling XGBoost Training with Ray Train\n", - "\n", - "In {doc}`/train/getting-started-xgboost`, we covered how to scale XGBoost single-model training with *Ray Train*.\n", - "For the rest of this tutorial, we will focus on how to optimize the hyperparameters of the XGBoost model using *Ray Tune*.\n", - "\n", - "## XGBoost Hyperparameters\n", - "\n", - "Even with the default settings, XGBoost was able to get to a good accuracy on the\n", - "breast cancer dataset. However, as in many machine learning algorithms, there are\n", - "many knobs to tune which might lead to even better performance. Let's explore some of\n", - "them below.\n", - "\n", - "### Maximum tree depth\n", - "\n", - "Remember that XGBoost internally uses many decision tree models to come up with\n", - "predictions. When training a decision tree, we need to tell the algorithm how\n", - "large the tree may get. The parameter for this is called the tree *depth*.\n", - "\n", - ":::{figure} /images/tune-xgboost-depth.svg\n", - ":align: center\n", - ":alt: Decision tree depth\n", - "\n", - "In this image, the left tree has a depth of 2, and the right tree a depth of 3.\n", - "Note that with each level, $2^{(d-1)}$ splits are added, where *d* is the depth\n", - "of the tree.\n", - ":::\n", - "\n", - "Tree depth is a property that concerns the model complexity. If you only allow short\n", - "trees, the models are likely not very precise - they underfit the data. If you allow\n", - "very large trees, the single models are likely to overfit to the data. In practice,\n", - "a number between `2` and `6` is often a good starting point for this parameter.\n", - "\n", - "XGBoost's default value is `3`.\n", - "\n", - "### Minimum child weight\n", - "\n", - "When a decision tree creates new leaves, it splits up the remaining data at one node\n", - "into two groups. If there are only few samples in one of these groups, it often\n", - "doesn't make sense to split it further. One of the reasons for this is that the\n", - "model is harder to train when we have fewer samples.\n", - "\n", - ":::{figure} /images/tune-xgboost-weight.svg\n", - ":align: center\n", - ":alt: Minimum child weight\n", - "\n", - "In this example, we start with 100 examples. At the first node, they are split\n", - "into 4 and 96 samples, respectively. In the next step, our model might find\n", - "that it doesn't make sense to split the 4 examples more. It thus only continues\n", - "to add leaves on the right side.\n", - ":::\n", - "\n", - "The parameter used by the model to decide if it makes sense to split a node is called\n", - "the *minimum child weight*. In the case of linear regression, this is just the absolute\n", - "number of nodes requried in each child. In other objectives, this value is determined\n", - "using the weights of the examples, hence the name.\n", - "\n", - "The larger the value, the more constrained the trees are and the less deep they will be.\n", - "This parameter thus also affects the model complexity. Thus, for noisy or small datasets, \n", - "smaller values are preferred. Values can range between 0 and infinity and are dependent on\n", - "the sample size. For our case with only 500 examples in the breast cancer dataset, values \n", - "between `0` and `10` should be sensible.\n", - "\n", - "XGBoost's default value is `1`.\n", - "\n", - "### Subsample size\n", - "\n", - "Each decision tree we add is trained on a subsample of the total training dataset.\n", - "The probabilities for the samples are weighted according to the XGBoost algorithm,\n", - "but we can decide on which fraction of the samples we want to train each decision\n", - "tree on.\n", - "\n", - "Setting this value to `0.7` would mean that we randomly sample `70%` of the\n", - "training dataset before each training iteration. Lower values lead to more\n", - "diverse trees and higher values to more similar trees. Lower values help\n", - "prevent overfitting.\n", - "\n", - "XGBoost's default value is `1`.\n", - "\n", - "### Learning rate / Eta\n", - "\n", - "Remember that XGBoost sequentially trains many decision trees, and that later trees\n", - "are more likely trained on data that has been misclassified by prior trees. In effect\n", - "this means that earlier trees make decisions for easy samples (i.e. those samples that\n", - "can easily be classified) and later trees make decisions for harder samples. It is then\n", - "sensible to assume that the later trees are less accurate than earlier trees.\n", - "\n", - "To address this fact, XGBoost uses a parameter called *Eta*, which is sometimes called\n", - "the *learning rate*. Don't confuse this with learning rates from gradient descent!\n", - "The original [paper on stochastic gradient boosting](https://www.researchgate.net/publication/222573328_Stochastic_Gradient_Boosting)\n", - "introduces this parameter like so:\n", - "\n", - "$$\n", - "F_m(x) = F_{m-1}(x) + \\eta \\cdot \\gamma_{lm} \\textbf{1}(x \\in R_{lm})\n", - "$$\n", - "\n", - "This is just a complicated way to say that when we train we new decision tree,\n", - "represented by $\\gamma_{lm} \\textbf{1}(x \\in R_{lm})$, we want to dampen\n", - "its effect on the previous prediction $F_{m-1}(x)$ with a factor\n", - "$\\eta$.\n", - "\n", - "Typical values for this parameter are between `0.01` and `` 0.3` ``.\n", - "\n", - "XGBoost's default value is `0.3`.\n", - "\n", - "### Number of boost rounds\n", - "\n", - "Lastly, we can decide on how many boosting rounds we perform, which means how\n", - "many decision trees we ultimately train. When we do heavy subsampling or use small\n", - "learning rate, it might make sense to increase the number of boosting rounds.\n", - "\n", - "XGBoost's default value is `10`.\n", - "\n", - "### Putting it together\n", - "\n", - "Let's see how this looks like in code! We just need to adjust our `config` dict:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "35073e88", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accuracy: 0.9231\n" - ] - } - ], - "source": [ - "config = {\n", - " \"objective\": \"binary:logistic\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " \"max_depth\": 2,\n", - " \"min_child_weight\": 0,\n", - " \"subsample\": 0.8,\n", - " \"eta\": 0.2,\n", - "}\n", - "results = train_breast_cancer(config)\n", - "accuracy = 1.0 - results[\"eval\"][\"error\"][-1]\n", - "print(f\"Accuracy: {accuracy:.4f}\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "69cf0c13", - "metadata": {}, - "source": [ - "The rest stays the same. Please note that we do not adjust the `num_boost_rounds` here.\n", - "The result should also show a high accuracy of over 90%.\n", - "\n", - "## Tuning the configuration parameters\n", - "\n", - "XGBoosts default parameters already lead to a good accuracy, and even our guesses in the\n", - "last section should result in accuracies well above 90%. However, our guesses were\n", - "just that: guesses. Often we do not know what combination of parameters would actually\n", - "lead to the best results on a machine learning task.\n", - "\n", - "Unfortunately, there are infinitely many combinations of hyperparameters we could try\n", - "out. Should we combine `max_depth=3` with `subsample=0.8` or with `subsample=0.9`?\n", - "What about the other parameters?\n", - "\n", - "This is where hyperparameter tuning comes into play. By using tuning libraries such as\n", - "Ray Tune we can try out combinations of hyperparameters. Using sophisticated search\n", - "strategies, these parameters can be selected so that they are likely to lead to good\n", - "results (avoiding an expensive *exhaustive search*). Also, trials that do not perform\n", - "well can be preemptively stopped to reduce waste of computing resources. Lastly, Ray Tune\n", - "also takes care of training these runs in parallel, greatly increasing search speed.\n", - "\n", - "Let's start with a basic example on how to use Tune for this. We just need to make\n", - "a few changes to our code-block:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ff856a82", - "metadata": { - "tags": [ - "hide-output" - ] - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    Tune Status

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    Trial Status

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    Trial name status loc eta max_depth min_child_weight subsample acc iter total time (s)
    train_breast_cancer_31c9f_00000TERMINATED127.0.0.1:897350.0434196 8 1 0.5303510.909091 1 0.0114911
    train_breast_cancer_31c9f_00001TERMINATED127.0.0.1:897340.0115669 6 2 0.9965190.615385 1 0.01138
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    train_breast_cancer_31c9f_00004TERMINATED127.0.0.1:897380.0121308 6 3 0.8431560.629371 1 0.00843
    train_breast_cancer_31c9f_00005TERMINATED127.0.0.1:897330.0344144 2 3 0.5130710.895105 1 0.00800109
    train_breast_cancer_31c9f_00006TERMINATED127.0.0.1:897370.0530037 7 2 0.9208010.965035 1 0.0117419
    train_breast_cancer_31c9f_00007TERMINATED127.0.0.1:897410.000230442 3 3 0.9468520.608392 1 0.00917387
    train_breast_cancer_31c9f_00008TERMINATED127.0.0.1:897390.00166323 4 1 0.5888790.636364 1 0.011095
    train_breast_cancer_31c9f_00009TERMINATED127.0.0.1:897360.0753618 3 3 0.55103 0.909091 1 0.00776482
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    \n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "edce67b9", + "metadata": {}, + "source": [ + "# Tuning XGBoost hyperparameters with Ray Tune\n", + "\n", + "\n", + " \"try-anyscale-quickstart\"\n", + "\n", + "

    \n", + "\n", + "(tune-xgboost-ref)=\n", + "\n", + "This tutorial demonstrates how to optimize XGBoost models using Ray Tune. You'll learn:\n", + "- The basics of XGBoost and its key hyperparameters\n", + "- How to train a simple XGBoost classifier (without hyperparameter tuning)\n", + "- How to use Ray Tune to find optimal hyperparameters\n", + "- Advanced techniques like early stopping and GPU acceleration\n", + "\n", + "XGBoost is currently one of the most popular machine learning algorithms. It performs\n", + "very well on a large selection of tasks, and was the key to success in many Kaggle\n", + "competitions.\n", + "\n", + "```{image} /images/xgboost_logo.png\n", + ":align: center\n", + ":alt: XGBoost\n", + ":target: https://xgboost.readthedocs.io/en/latest/\n", + ":width: 200px\n", + "```\n", + "\n", + "```{contents}\n", + ":depth: 2\n", + "```\n", + "\n", + ":::{note}\n", + "To run this tutorial, you will need to install the following:\n", + "\n", + "```bash\n", + "$ pip install -q \"ray[tune]\" scikit-learn xgboost\n", + "```\n", + ":::\n", + "\n", + "## What is XGBoost\n", + "\n", + "\n", + "XGBoost (e**X**treme **G**radient **Boost**ing) is a powerful and efficient implementation of gradient boosted [decision trees](https://en.wikipedia.org/wiki/Decision_tree). It has become one of the most popular machine learning algorithms due to its:\n", + "\n", + "1. Performance: Consistently strong results across many types of problems\n", + "2. Speed: Highly optimized implementation that can leverage GPU acceleration \n", + "3. Flexibility: Works with many types of prediction problems (classification, regression, ranking)\n", + "\n", + "Key Concepts:\n", + "- Uses an ensemble of simple decision trees\n", + "- Trees are built sequentially, with each tree correcting errors from previous trees\n", + "- Employs gradient descent to minimize a loss function\n", + "- Even though single trees can have high bias, using a boosted ensemble can result in better predictions and reduced bias\n", + "\n", + "\n", + ":::{figure} /images/tune-xgboost-ensemble.svg\n", + ":alt: Single vs. ensemble learning\n", + "\n", + "A single decision tree (left) might be able to get to an accuracy of 70%\n", + "for a binary classification task. By combining the output of several small\n", + "decision trees, an ensemble learner (right) might end up with a higher accuracy\n", + "of 90%.\n", + ":::\n", + "\n", + "Boosting algorithms start with a single small decision tree and evaluate how well\n", + "it predicts the given examples. When building the next tree, those samples that have\n", + "been misclassified before have a higher chance of being used to generate the tree.\n", + "This is useful because it avoids overfitting to samples that can be easily classified\n", + "and instead tries to come up with models that are able to classify hard examples, too.\n", + "Please see [here for a more thorough introduction to bagging and boosting algorithms](https://towardsdatascience.com/ensemble-methods-bagging-boosting-and-stacking-c9214a10a205).\n", + "\n", + "There are many boosting algorithms. In their core, they are all very similar. XGBoost\n", + "uses second-level derivatives to find splits that maximize the *gain* (the inverse of\n", + "the *loss*) - hence the name. In practice, XGBoost usually shows the best performance\n", + "against other boosting algorithms, although LightGBM tends to be [faster and more\n", + "memory efficient](https://xgboosting.com/xgboost-vs-lightgbm/), especially for large datasets.\n", + "\n", + "## Training a simple XGBoost classifier\n", + "\n", + "Let's first see how a simple XGBoost classifier can be trained. We'll use the\n", + "`breast_cancer`-Dataset included in the `sklearn` dataset collection. This is\n", + "a binary classification dataset. Given 30 different input features, our task is to\n", + "learn to identify subjects with breast cancer and those without.\n", + "\n", + "Here is the full code to train a simple XGBoost model:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "63611b7f", + "metadata": {}, + "outputs": [], + "source": [ + "SMOKE_TEST = False" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "be0b8321", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [], + "source": [ + "SMOKE_TEST = True" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "77b3c71c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.9650\n" + ] + } + ], + "source": [ + "import sklearn.datasets\n", + "import sklearn.metrics\n", + "from sklearn.model_selection import train_test_split\n", + "import xgboost as xgb\n", + "\n", + "\n", + "def train_breast_cancer(config):\n", + " # Load dataset\n", + " data, labels = sklearn.datasets.load_breast_cancer(return_X_y=True)\n", + " # Split into train and test set\n", + " train_x, test_x, train_y, test_y = train_test_split(data, labels, test_size=0.25)\n", + " # Build input matrices for XGBoost\n", + " train_set = xgb.DMatrix(train_x, label=train_y)\n", + " test_set = xgb.DMatrix(test_x, label=test_y)\n", + " # Train the classifier\n", + " results = {}\n", + " bst = xgb.train(\n", + " config,\n", + " train_set,\n", + " evals=[(test_set, \"eval\")],\n", + " evals_result=results,\n", + " verbose_eval=False,\n", + " )\n", + " return results\n", + "\n", + "\n", + "results = train_breast_cancer(\n", + " {\"objective\": \"binary:logistic\", \"eval_metric\": [\"logloss\", \"error\"]}\n", + ")\n", + "accuracy = 1.0 - results[\"eval\"][\"error\"][-1]\n", + "print(f\"Accuracy: {accuracy:.4f}\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "ec2a13f8", + "metadata": {}, + "source": [ + "As you can see, the code is quite simple. First, the dataset is loaded and split\n", + "into a `test` and `train` set. The XGBoost model is trained with `xgb.train()`.\n", + "XGBoost automatically evaluates metrics we specified on the test set. In our case\n", + "it calculates the *logloss* and the prediction *error*, which is the percentage of\n", + "misclassified examples. To calculate the accuracy, we just have to subtract the error\n", + "from `1.0`. Even in this simple example, most runs result\n", + "in a good accuracy of over `0.90`.\n", + "\n", + "Maybe you have noticed the `config` parameter we pass to the XGBoost algorithm. This\n", + "is a {class}`dict` in which you can specify parameters for the XGBoost algorithm. In this\n", + "simple example, the only parameters we passed are the `objective` and `eval_metric` parameters.\n", + "The value `binary:logistic` tells XGBoost that we aim to train a logistic regression model for\n", + "a binary classification task. You can find an overview over all valid objectives\n", + "[here in the XGBoost documentation](https://xgboost.readthedocs.io/en/latest/parameter.html#learning-task-parameters).\n", + "\n", + "## Scaling XGBoost Training with Ray Train\n", + "\n", + "In {doc}`/train/getting-started-xgboost`, we covered how to scale XGBoost single-model training with *Ray Train*.\n", + "For the rest of this tutorial, we will focus on how to optimize the hyperparameters of the XGBoost model using *Ray Tune*.\n", + "\n", + "## XGBoost Hyperparameters\n", + "\n", + "Even with the default settings, XGBoost was able to get to a good accuracy on the\n", + "breast cancer dataset. However, as in many machine learning algorithms, there are\n", + "many knobs to tune which might lead to even better performance. Let's explore some of\n", + "them below.\n", + "\n", + "### Maximum tree depth\n", + "\n", + "Remember that XGBoost internally uses many decision tree models to come up with\n", + "predictions. When training a decision tree, we need to tell the algorithm how\n", + "large the tree may get. The parameter for this is called the tree *depth*.\n", + "\n", + ":::{figure} /images/tune-xgboost-depth.svg\n", + ":align: center\n", + ":alt: Decision tree depth\n", + "\n", + "In this image, the left tree has a depth of 2, and the right tree a depth of 3.\n", + "Note that with each level, $2^{(d-1)}$ splits are added, where *d* is the depth\n", + "of the tree.\n", + ":::\n", + "\n", + "Tree depth is a property that concerns the model complexity. If you only allow short\n", + "trees, the models are likely not very precise - they underfit the data. If you allow\n", + "very large trees, the single models are likely to overfit to the data. In practice,\n", + "a number between `2` and `6` is often a good starting point for this parameter.\n", + "\n", + "XGBoost's default value is `3`.\n", + "\n", + "### Minimum child weight\n", + "\n", + "When a decision tree creates new leaves, it splits up the remaining data at one node\n", + "into two groups. If there are only few samples in one of these groups, it often\n", + "doesn't make sense to split it further. One of the reasons for this is that the\n", + "model is harder to train when we have fewer samples.\n", + "\n", + ":::{figure} /images/tune-xgboost-weight.svg\n", + ":align: center\n", + ":alt: Minimum child weight\n", + "\n", + "In this example, we start with 100 examples. At the first node, they are split\n", + "into 4 and 96 samples, respectively. In the next step, our model might find\n", + "that it doesn't make sense to split the 4 examples more. It thus only continues\n", + "to add leaves on the right side.\n", + ":::\n", + "\n", + "The parameter used by the model to decide if it makes sense to split a node is called\n", + "the *minimum child weight*. In the case of linear regression, this is just the absolute\n", + "number of nodes requried in each child. In other objectives, this value is determined\n", + "using the weights of the examples, hence the name.\n", + "\n", + "The larger the value, the more constrained the trees are and the less deep they will be.\n", + "This parameter thus also affects the model complexity. Thus, for noisy or small datasets, \n", + "smaller values are preferred. Values can range between 0 and infinity and are dependent on\n", + "the sample size. For our case with only 500 examples in the breast cancer dataset, values \n", + "between `0` and `10` should be sensible.\n", + "\n", + "XGBoost's default value is `1`.\n", + "\n", + "### Subsample size\n", + "\n", + "Each decision tree we add is trained on a subsample of the total training dataset.\n", + "The probabilities for the samples are weighted according to the XGBoost algorithm,\n", + "but we can decide on which fraction of the samples we want to train each decision\n", + "tree on.\n", + "\n", + "Setting this value to `0.7` would mean that we randomly sample `70%` of the\n", + "training dataset before each training iteration. Lower values lead to more\n", + "diverse trees and higher values to more similar trees. Lower values help\n", + "prevent overfitting.\n", + "\n", + "XGBoost's default value is `1`.\n", + "\n", + "### Learning rate / Eta\n", + "\n", + "Remember that XGBoost sequentially trains many decision trees, and that later trees\n", + "are more likely trained on data that has been misclassified by prior trees. In effect\n", + "this means that earlier trees make decisions for easy samples (i.e. those samples that\n", + "can easily be classified) and later trees make decisions for harder samples. It is then\n", + "sensible to assume that the later trees are less accurate than earlier trees.\n", + "\n", + "To address this fact, XGBoost uses a parameter called *Eta*, which is sometimes called\n", + "the *learning rate*. Don't confuse this with learning rates from gradient descent!\n", + "The original [paper on stochastic gradient boosting](https://www.researchgate.net/publication/222573328_Stochastic_Gradient_Boosting)\n", + "introduces this parameter like so:\n", + "\n", + "$$\n", + "F_m(x) = F_{m-1}(x) + \\eta \\cdot \\gamma_{lm} \\textbf{1}(x \\in R_{lm})\n", + "$$\n", + "\n", + "This is just a complicated way to say that when we train we new decision tree,\n", + "represented by $\\gamma_{lm} \\textbf{1}(x \\in R_{lm})$, we want to dampen\n", + "its effect on the previous prediction $F_{m-1}(x)$ with a factor\n", + "$\\eta$.\n", + "\n", + "Typical values for this parameter are between `0.01` and `` 0.3` ``.\n", + "\n", + "XGBoost's default value is `0.3`.\n", + "\n", + "### Number of boost rounds\n", + "\n", + "Lastly, we can decide on how many boosting rounds we perform, which means how\n", + "many decision trees we ultimately train. When we do heavy subsampling or use small\n", + "learning rate, it might make sense to increase the number of boosting rounds.\n", + "\n", + "XGBoost's default value is `10`.\n", + "\n", + "### Putting it together\n", + "\n", + "Let's see how this looks like in code! We just need to adjust our `config` dict:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "35073e88", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.9231\n" + ] + } + ], + "source": [ + "config = {\n", + " \"objective\": \"binary:logistic\",\n", + " \"eval_metric\": [\"logloss\", \"error\"],\n", + " \"max_depth\": 2,\n", + " \"min_child_weight\": 0,\n", + " \"subsample\": 0.8,\n", + " \"eta\": 0.2,\n", + "}\n", + "results = train_breast_cancer(config)\n", + "accuracy = 1.0 - results[\"eval\"][\"error\"][-1]\n", + "print(f\"Accuracy: {accuracy:.4f}\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "69cf0c13", + "metadata": {}, + "source": [ + "The rest stays the same. Please note that we do not adjust the `num_boost_rounds` here.\n", + "The result should also show a high accuracy of over 90%.\n", + "\n", + "## Tuning the configuration parameters\n", + "\n", + "XGBoosts default parameters already lead to a good accuracy, and even our guesses in the\n", + "last section should result in accuracies well above 90%. However, our guesses were\n", + "just that: guesses. Often we do not know what combination of parameters would actually\n", + "lead to the best results on a machine learning task.\n", + "\n", + "Unfortunately, there are infinitely many combinations of hyperparameters we could try\n", + "out. Should we combine `max_depth=3` with `subsample=0.8` or with `subsample=0.9`?\n", + "What about the other parameters?\n", + "\n", + "This is where hyperparameter tuning comes into play. By using tuning libraries such as\n", + "Ray Tune we can try out combinations of hyperparameters. Using sophisticated search\n", + "strategies, these parameters can be selected so that they are likely to lead to good\n", + "results (avoiding an expensive *exhaustive search*). Also, trials that do not perform\n", + "well can be preemptively stopped to reduce waste of computing resources. Lastly, Ray Tune\n", + "also takes care of training these runs in parallel, greatly increasing search speed.\n", + "\n", + "Let's start with a basic example on how to use Tune for this. We just need to make\n", + "a few changes to our code-block:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ff856a82", + "metadata": { + "tags": [ + "hide-output" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    Tune Status

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    Trial name status loc eta max_depth min_child_weight subsample acc iter total time (s)
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    train_breast_cancer_31c9f_00005TERMINATED127.0.0.1:897330.0344144 2 3 0.5130710.895105 1 0.00800109
    train_breast_cancer_31c9f_00006TERMINATED127.0.0.1:897370.0530037 7 2 0.9208010.965035 1 0.0117419
    train_breast_cancer_31c9f_00007TERMINATED127.0.0.1:897410.000230442 3 3 0.9468520.608392 1 0.00917387
    train_breast_cancer_31c9f_00008TERMINATED127.0.0.1:897390.00166323 4 1 0.5888790.636364 1 0.011095
    train_breast_cancer_31c9f_00009TERMINATED127.0.0.1:897360.0753618 3 3 0.55103 0.909091 1 0.00776482
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results[\"eval\"][\"error\"][-1]\n", + " tune.report({\"mean_accuracy\": accuracy, \"done\": True})\n", + "\n", + "\n", + "config = {\n", + " \"objective\": \"binary:logistic\",\n", + " \"eval_metric\": [\"logloss\", \"error\"],\n", + " \"max_depth\": tune.randint(1, 9),\n", + " \"min_child_weight\": tune.choice([1, 2, 3]),\n", + " \"subsample\": tune.uniform(0.5, 1.0),\n", + " \"eta\": tune.loguniform(1e-4, 1e-1),\n", + "}\n", + "tuner = tune.Tuner(\n", + " train_breast_cancer,\n", + " tune_config=tune.TuneConfig(num_samples=10),\n", + " param_space=config,\n", + ")\n", + "results = tuner.fit()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "4999e858", + "metadata": {}, + "source": [ + "As you can see, the changes in the actual training function are minimal. Instead of\n", + "returning the accuracy value, we report it back to Tune using `tune.report()`.\n", + "Our `config` dictionary only changed slightly. Instead of passing hard-coded\n", + "parameters, we tell Tune to choose values from a range of valid options. There are\n", + "a number of options we have here, all of which are explained in\n", + "{ref}`the Tune docs `.\n", + "\n", + "For a brief explanation, this is what they do:\n", + "\n", + "- `tune.randint(min, max)` chooses a random integer value between *min* and *max*.\n", + " Note that *max* is exclusive, so it will not be sampled.\n", + "- `tune.choice([a, b, c])` chooses one of the items of the list at random. Each item\n", + " has the same chance to be sampled.\n", + "- `tune.uniform(min, max)` samples a floating point number between *min* and *max*.\n", + " Note that *max* is exclusive here, too.\n", + "- `tune.loguniform(min, max)` samples a floating point number between *min* and *max*,\n", + " but applies a logarithmic transformation to these boundaries first. Thus, this makes\n", + " it easy to sample values from different orders of magnitude.\n", + "\n", + "The `num_samples=10` option we pass to the `TuneConfig()` means that we sample 10 different\n", + "hyperparameter configurations from this search space.\n", + "\n", + "The output of our training run coud look like this:\n", + "\n", + "```{code-block} bash\n", + ":emphasize-lines: 14\n", + "\n", + " Number of trials: 10/10 (10 TERMINATED)\n", + " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------+\n", + " | Trial name | status | loc | eta | max_depth | min_child_weight | subsample | acc | iter | total time (s) |\n", + " |---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------|\n", + " | train_breast_cancer_b63aa_00000 | TERMINATED | | 0.000117625 | 2 | 2 | 0.616347 | 0.916084 | 1 | 0.0306492 |\n", + " | train_breast_cancer_b63aa_00001 | TERMINATED | | 0.0382954 | 8 | 2 | 0.581549 | 0.937063 | 1 | 0.0357082 |\n", + " | train_breast_cancer_b63aa_00002 | TERMINATED | | 0.000217926 | 1 | 3 | 0.528428 | 0.874126 | 1 | 0.0264609 |\n", + " | train_breast_cancer_b63aa_00003 | TERMINATED | | 0.000120929 | 8 | 1 | 0.634508 | 0.958042 | 1 | 0.036406 |\n", + " | train_breast_cancer_b63aa_00004 | TERMINATED | | 0.00839715 | 5 | 1 | 0.730624 | 0.958042 | 1 | 0.0389378 |\n", + " | train_breast_cancer_b63aa_00005 | TERMINATED | | 0.000732948 | 8 | 2 | 0.915863 | 0.958042 | 1 | 0.0382841 |\n", + " | train_breast_cancer_b63aa_00006 | TERMINATED | | 0.000856226 | 4 | 1 | 0.645209 | 0.916084 | 1 | 0.0357089 |\n", + " | train_breast_cancer_b63aa_00007 | TERMINATED | | 0.00769908 | 7 | 1 | 0.729443 | 0.909091 | 1 | 0.0390737 |\n", + " | train_breast_cancer_b63aa_00008 | TERMINATED | | 0.00186339 | 5 | 3 | 0.595744 | 0.944056 | 1 | 0.0343912 |\n", + " | train_breast_cancer_b63aa_00009 | TERMINATED | | 0.000950272 | 3 | 2 | 0.835504 | 0.965035 | 1 | 0.0348201 |\n", + " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------+\n", + "```\n", + "\n", + "The best configuration we found used `eta=0.000950272`, `max_depth=3`,\n", + "`min_child_weight=2`, `subsample=0.835504` and reached an accuracy of\n", + "`0.965035`.\n", + "\n", + "## Early stopping\n", + "\n", + "Currently, Tune samples 10 different hyperparameter configurations and trains a full\n", + "XGBoost on all of them. In our small example, training is very fast. However,\n", + "if training takes longer, a significant amount of computer resources is spent on trials\n", + "that will eventually show a bad performance, e.g. a low accuracy. It would be good\n", + "if we could identify these trials early and stop them, so we don't waste any resources.\n", + "\n", + "This is where Tune's *Schedulers* shine. A Tune `TrialScheduler` is responsible\n", + "for starting and stopping trials. Tune implements a number of different schedulers, each\n", + "described {ref}`in the Tune documentation `.\n", + "For our example, we will use the `AsyncHyperBandScheduler` or `ASHAScheduler`.\n", + "\n", + "The basic idea of this scheduler: We sample a number of hyperparameter configurations.\n", + "Each of these configurations is trained for a specific number of iterations.\n", + "After these iterations, only the best performing hyperparameters are retained. These\n", + "are selected according to some loss metric, usually an evaluation loss. This cycle is\n", + "repeated until we end up with the best configuration.\n", + "\n", + "The `ASHAScheduler` needs to know three things:\n", + "\n", + "1. Which metric should be used to identify badly performing trials?\n", + "2. Should this metric be maximized or minimized?\n", + "3. How many iterations does each trial train for?\n", + "\n", + "There are more parameters, which are explained in the\n", + "{ref}`documentation `.\n", + "\n", + "Lastly, we have to report the loss metric to Tune. We do this with a `Callback` that\n", + "XGBoost accepts and calls after each evaluation round. Ray Tune comes\n", + "with {ref}`two XGBoost callbacks `\n", + "we can use for this. The `TuneReportCallback` just reports the evaluation\n", + "metrics back to Tune. The `TuneReportCheckpointCallback` also saves\n", + "checkpoints after each evaluation round. We will just use the latter in this\n", + "example so that we can retrieve the saved model later.\n", + "\n", + "These parameters from the `eval_metrics` configuration setting are then automatically\n", + "reported to Tune via the callback. Here, the raw error will be reported, not the accuracy.\n", + "To display the best reached accuracy, we will inverse it later.\n", + "\n", + "We will also load the best checkpointed model so that we can use it for predictions.\n", + "The best model is selected with respect to the `metric` and `mode` parameters we\n", + "pass to the `TunerConfig()`." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d08b5b0a", + "metadata": { + "tags": [ + "hide-output" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    Trial name status loc eta max_depth min_child_weight subsample iter total time (s) eval-logloss eval-error
    train_breast_cancer_32eb5_00000TERMINATED127.0.0.1:897630.000830475 5 1 0.675899 10 0.0169384 0.640195 0.342657
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best_result.metrics[\"eval-error\"]\n", + " print(f\"Best model parameters: {best_result.config}\")\n", + " print(f\"Best model total accuracy: {accuracy:.4f}\")\n", + " return best_bst\n", + "\n", + "\n", + "def tune_xgboost(smoke_test=False):\n", + " search_space = {\n", + " # You can mix constants with search space objects.\n", + " \"objective\": \"binary:logistic\",\n", + " \"eval_metric\": [\"logloss\", \"error\"],\n", + " \"max_depth\": tune.randint(1, 9),\n", + " \"min_child_weight\": tune.choice([1, 2, 3]),\n", + " \"subsample\": tune.uniform(0.5, 1.0),\n", + " \"eta\": tune.loguniform(1e-4, 1e-1),\n", + " }\n", + " # This will enable aggressive early stopping of bad trials.\n", + " scheduler = ASHAScheduler(\n", + " max_t=10, grace_period=1, reduction_factor=2 # 10 training iterations\n", + " )\n", + "\n", + " tuner = tune.Tuner(\n", + " train_breast_cancer,\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"eval-logloss\",\n", + " mode=\"min\",\n", + " scheduler=scheduler,\n", + " num_samples=1 if smoke_test else 10,\n", + " ),\n", + " param_space=search_space,\n", + " )\n", + " results = tuner.fit()\n", + " return results\n", + "\n", + "\n", + "results = tune_xgboost(smoke_test=SMOKE_TEST)\n", + "\n", + "# Load the best model checkpoint.\n", + "best_bst = get_best_model_checkpoint(results)\n", + "\n", + "# You could now do further predictions with\n", + "# best_bst.predict(...)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "20732fe4", + "metadata": {}, + "source": [ + "The output of our run could look like this:\n", + "\n", + "```{code-block} bash\n", + ":emphasize-lines: 7\n", + "\n", + " Number of trials: 10/10 (10 TERMINATED)\n", + " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------+\n", + " | Trial name | status | loc | eta | max_depth | min_child_weight | subsample | iter | total time (s) | eval-logloss | eval-error |\n", + " |---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------|\n", + " | train_breast_cancer_ba275_00000 | TERMINATED | | 0.00205087 | 2 | 1 | 0.898391 | 10 | 0.380619 | 0.678039 | 0.090909 |\n", + " | train_breast_cancer_ba275_00001 | TERMINATED | | 0.000183834 | 4 | 3 | 0.924939 | 1 | 0.0228798 | 0.693009 | 0.111888 |\n", + " | train_breast_cancer_ba275_00002 | TERMINATED | | 0.0242721 | 7 | 2 | 0.501551 | 10 | 0.376154 | 0.54472 | 0.06993 |\n", + " | train_breast_cancer_ba275_00003 | TERMINATED | | 0.000449692 | 5 | 3 | 0.890212 | 1 | 0.0234981 | 0.692811 | 0.090909 |\n", + " | train_breast_cancer_ba275_00004 | TERMINATED | | 0.000376393 | 7 | 2 | 0.883609 | 1 | 0.0231569 | 0.692847 | 0.062937 |\n", + " | train_breast_cancer_ba275_00005 | TERMINATED | | 0.00231942 | 3 | 3 | 0.877464 | 2 | 0.104867 | 0.689541 | 0.083916 |\n", + " | train_breast_cancer_ba275_00006 | TERMINATED | | 0.000542326 | 1 | 2 | 0.578584 | 1 | 0.0213971 | 0.692765 | 0.083916 |\n", + " | train_breast_cancer_ba275_00007 | TERMINATED | | 0.0016801 | 1 | 2 | 0.975302 | 1 | 0.02226 | 0.691999 | 0.083916 |\n", + " | train_breast_cancer_ba275_00008 | TERMINATED | | 0.000595756 | 8 | 3 | 0.58429 | 1 | 0.0221152 | 0.692657 | 0.06993 |\n", + " | train_breast_cancer_ba275_00009 | TERMINATED | | 0.000357845 | 8 | 1 | 0.637776 | 1 | 0.022635 | 0.692859 | 0.090909 |\n", + " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------+\n", + "\n", + "\n", + " Best model parameters: {'objective': 'binary:logistic', 'eval_metric': ['logloss', 'error'], 'max_depth': 7, 'min_child_weight': 2, 'subsample': 0.5015513240240503, 'eta': 0.024272050872920895}\n", + " Best model total accuracy: 0.9301\n", + "```\n", + "\n", + "As you can see, most trials have been stopped only after a few iterations. Only the\n", + "two most promising trials were run for the full 10 iterations.\n", + "\n", + "You can also ensure that all available resources are being used as the scheduler\n", + "terminates trials, freeing them up. This can be done through the\n", + "`ResourceChangingScheduler`. An example of this can be found here:\n", + "{doc}`/tune/examples/includes/xgboost_dynamic_resources_example`.\n", + "\n", + "## Using fractional GPUs\n", + "\n", + "You can often accelerate your training by using GPUs in addition to CPUs. However,\n", + "you usually don't have as many GPUs as you have trials to run. For instance, if you\n", + "run 10 Tune trials in parallel, you usually don't have access to 10 separate GPUs.\n", + "\n", + "Tune supports *fractional GPUs*. This means that each task is assigned a fraction\n", + "of the GPU memory for training. For 10 tasks, this could look like this:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d1b20a3", + "metadata": { + "tags": [ + "hide-output" + ] + }, + "outputs": [], + "source": [ + "config = {\n", + " \"objective\": \"binary:logistic\",\n", + " \"eval_metric\": [\"logloss\", \"error\"],\n", + " \"tree_method\": \"gpu_hist\",\n", + " \"max_depth\": tune.randint(1, 9),\n", + " \"min_child_weight\": tune.choice([1, 2, 3]),\n", + " \"subsample\": tune.uniform(0.5, 1.0),\n", + " \"eta\": tune.loguniform(1e-4, 1e-1),\n", + "}\n", + "\n", + "tuner = tune.Tuner(\n", + " tune.with_resources(train_breast_cancer, resources={\"cpu\": 1, \"gpu\": 0.1}),\n", + " tune_config=tune.TuneConfig(num_samples=1 if SMOKE_TEST else 10),\n", + " param_space=config,\n", + ")\n", + "results = tuner.fit()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "ee131861", + "metadata": {}, + "source": [ + "Each task thus works with 10% of the available GPU memory. You also have to tell\n", + "XGBoost to use the `gpu_hist` tree method, so it knows it should use the GPU.\n", + "\n", + "## Conclusion\n", + "\n", + "You should now have a basic understanding on how to train XGBoost models and on how\n", + "to tune the hyperparameters to yield the best results. In our simple example,\n", + "Tuning the parameters didn't make a huge difference for the accuracy.\n", + "But in larger applications, intelligent hyperparameter tuning can make the\n", + "difference between a model that doesn't seem to learn at all, and a model\n", + "that outperforms all the other ones.\n", + "\n", + "## More XGBoost Examples\n", + "\n", + "- {doc}`/tune/examples/includes/xgboost_dynamic_resources_example`:\n", + " Trains a basic XGBoost model with Tune with the class-based API and a ResourceChangingScheduler, ensuring all resources are being used at all time.\n", + "- {doc}`/train/getting-started-xgboost`: Shows how to scale XGBoost single-model training with *Ray Train* (as opposed to hyperparameter tuning with Ray Tune).\n", + "\n", + "## Learn More\n", + "\n", + "- [XGBoost Hyperparameter Tuning - A Visual Guide](https://kevinvecmanis.io/machine%20learning/hyperparameter%20tuning/dataviz/python/2019/05/11/XGBoost-Tuning-Visual-Guide.html)\n", + "- [Notes on XGBoost Parameter Tuning](https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html)\n", + "- [Doing XGBoost Hyperparameter Tuning the smart way](https://towardsdatascience.com/doing-xgboost-hyper-parameter-tuning-the-smart-way-part-1-of-2-f6d255a45dde)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "xgboost-tune", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + }, + "orphan": true }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-11 16:13:34,649\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/Users/rdecal/ray_results/train_breast_cancer_2025-02-11_16-13-31' in 0.0057s.\n", - "2025-02-11 16:13:34,652\tINFO tune.py:1041 -- Total run time: 1.88 seconds (1.86 seconds for the tuning loop).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[36m(train_breast_cancer pid=90413)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/Users/rdecal/ray_results/train_breast_cancer_2025-02-11_16-17-11/train_breast_cancer_b412c_00000_0_eta=0.0200,max_depth=4,min_child_weight=2,subsample=0.7395_2025-02-11_16-17-11/checkpoint_000000)\n", - "\u001b[36m(train_breast_cancer pid=90413)\u001b[0m Checkpoint successfully created at: Checkpoint(filesystem=local, path=/Users/rdecal/ray_results/train_breast_cancer_2025-02-11_16-17-11/train_breast_cancer_b412c_00000_0_eta=0.0200,max_depth=4,min_child_weight=2,subsample=0.7395_2025-02-11_16-17-11/checkpoint_000001)\n", - 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] - } - ], - "source": [ - "import sklearn.datasets\n", - "import sklearn.metrics\n", - "\n", - "from ray import tune\n", - "\n", - "\n", - "def train_breast_cancer(config):\n", - " # Load dataset\n", - " data, labels = sklearn.datasets.load_breast_cancer(return_X_y=True)\n", - " # Split into train and test set\n", - " train_x, test_x, train_y, test_y = train_test_split(data, labels, test_size=0.25)\n", - " # Build input matrices for XGBoost\n", - " train_set = xgb.DMatrix(train_x, label=train_y)\n", - " test_set = xgb.DMatrix(test_x, label=test_y)\n", - " # Train the classifier\n", - " results = {}\n", - " xgb.train(\n", - " config,\n", - " train_set,\n", - " evals=[(test_set, \"eval\")],\n", - " evals_result=results,\n", - " verbose_eval=False,\n", - " )\n", - " # Return prediction accuracy\n", - " accuracy = 1.0 - results[\"eval\"][\"error\"][-1]\n", - " tune.report({\"mean_accuracy\": accuracy, \"done\": True})\n", - "\n", - "\n", - "config = {\n", - " \"objective\": \"binary:logistic\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " \"max_depth\": tune.randint(1, 9),\n", - " \"min_child_weight\": tune.choice([1, 2, 3]),\n", - " \"subsample\": tune.uniform(0.5, 1.0),\n", - " \"eta\": tune.loguniform(1e-4, 1e-1),\n", - "}\n", - "tuner = tune.Tuner(\n", - " train_breast_cancer,\n", - " tune_config=tune.TuneConfig(num_samples=10),\n", - " param_space=config,\n", - ")\n", - "results = tuner.fit()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "4999e858", - "metadata": {}, - "source": [ - "As you can see, the changes in the actual training function are minimal. Instead of\n", - "returning the accuracy value, we report it back to Tune using `session.report()`.\n", - "Our `config` dictionary only changed slightly. Instead of passing hard-coded\n", - "parameters, we tell Tune to choose values from a range of valid options. There are\n", - "a number of options we have here, all of which are explained in\n", - "{ref}`the Tune docs `.\n", - "\n", - "For a brief explanation, this is what they do:\n", - "\n", - "- `tune.randint(min, max)` chooses a random integer value between *min* and *max*.\n", - " Note that *max* is exclusive, so it will not be sampled.\n", - "- `tune.choice([a, b, c])` chooses one of the items of the list at random. Each item\n", - " has the same chance to be sampled.\n", - "- `tune.uniform(min, max)` samples a floating point number between *min* and *max*.\n", - " Note that *max* is exclusive here, too.\n", - "- `tune.loguniform(min, max)` samples a floating point number between *min* and *max*,\n", - " but applies a logarithmic transformation to these boundaries first. Thus, this makes\n", - " it easy to sample values from different orders of magnitude.\n", - "\n", - "The `num_samples=10` option we pass to the `TuneConfig()` means that we sample 10 different\n", - "hyperparameter configurations from this search space.\n", - "\n", - "The output of our training run coud look like this:\n", - "\n", - "```{code-block} bash\n", - ":emphasize-lines: 14\n", - "\n", - " Number of trials: 10/10 (10 TERMINATED)\n", - " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------+\n", - " | Trial name | status | loc | eta | max_depth | min_child_weight | subsample | acc | iter | total time (s) |\n", - " |---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------|\n", - " | train_breast_cancer_b63aa_00000 | TERMINATED | | 0.000117625 | 2 | 2 | 0.616347 | 0.916084 | 1 | 0.0306492 |\n", - " | train_breast_cancer_b63aa_00001 | TERMINATED | | 0.0382954 | 8 | 2 | 0.581549 | 0.937063 | 1 | 0.0357082 |\n", - " | train_breast_cancer_b63aa_00002 | TERMINATED | | 0.000217926 | 1 | 3 | 0.528428 | 0.874126 | 1 | 0.0264609 |\n", - " | train_breast_cancer_b63aa_00003 | TERMINATED | | 0.000120929 | 8 | 1 | 0.634508 | 0.958042 | 1 | 0.036406 |\n", - " | train_breast_cancer_b63aa_00004 | TERMINATED | | 0.00839715 | 5 | 1 | 0.730624 | 0.958042 | 1 | 0.0389378 |\n", - " | train_breast_cancer_b63aa_00005 | TERMINATED | | 0.000732948 | 8 | 2 | 0.915863 | 0.958042 | 1 | 0.0382841 |\n", - " | train_breast_cancer_b63aa_00006 | TERMINATED | | 0.000856226 | 4 | 1 | 0.645209 | 0.916084 | 1 | 0.0357089 |\n", - " | train_breast_cancer_b63aa_00007 | TERMINATED | | 0.00769908 | 7 | 1 | 0.729443 | 0.909091 | 1 | 0.0390737 |\n", - " | train_breast_cancer_b63aa_00008 | TERMINATED | | 0.00186339 | 5 | 3 | 0.595744 | 0.944056 | 1 | 0.0343912 |\n", - " | train_breast_cancer_b63aa_00009 | TERMINATED | | 0.000950272 | 3 | 2 | 0.835504 | 0.965035 | 1 | 0.0348201 |\n", - " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+----------+--------+------------------+\n", - "```\n", - "\n", - "The best configuration we found used `eta=0.000950272`, `max_depth=3`,\n", - "`min_child_weight=2`, `subsample=0.835504` and reached an accuracy of\n", - "`0.965035`.\n", - "\n", - "## Early stopping\n", - "\n", - "Currently, Tune samples 10 different hyperparameter configurations and trains a full\n", - "XGBoost on all of them. In our small example, training is very fast. However,\n", - "if training takes longer, a significant amount of computer resources is spent on trials\n", - "that will eventually show a bad performance, e.g. a low accuracy. It would be good\n", - "if we could identify these trials early and stop them, so we don't waste any resources.\n", - "\n", - "This is where Tune's *Schedulers* shine. A Tune `TrialScheduler` is responsible\n", - "for starting and stopping trials. Tune implements a number of different schedulers, each\n", - "described {ref}`in the Tune documentation `.\n", - "For our example, we will use the `AsyncHyperBandScheduler` or `ASHAScheduler`.\n", - "\n", - "The basic idea of this scheduler: We sample a number of hyperparameter configurations.\n", - "Each of these configurations is trained for a specific number of iterations.\n", - "After these iterations, only the best performing hyperparameters are retained. These\n", - "are selected according to some loss metric, usually an evaluation loss. This cycle is\n", - "repeated until we end up with the best configuration.\n", - "\n", - "The `ASHAScheduler` needs to know three things:\n", - "\n", - "1. Which metric should be used to identify badly performing trials?\n", - "2. Should this metric be maximized or minimized?\n", - "3. How many iterations does each trial train for?\n", - "\n", - "There are more parameters, which are explained in the\n", - "{ref}`documentation `.\n", - "\n", - "Lastly, we have to report the loss metric to Tune. We do this with a `Callback` that\n", - "XGBoost accepts and calls after each evaluation round. Ray Tune comes\n", - "with {ref}`two XGBoost callbacks `\n", - "we can use for this. The `TuneReportCallback` just reports the evaluation\n", - "metrics back to Tune. The `TuneReportCheckpointCallback` also saves\n", - "checkpoints after each evaluation round. We will just use the latter in this\n", - "example so that we can retrieve the saved model later.\n", - "\n", - "These parameters from the `eval_metrics` configuration setting are then automatically\n", - "reported to Tune via the callback. Here, the raw error will be reported, not the accuracy.\n", - "To display the best reached accuracy, we will inverse it later.\n", - "\n", - "We will also load the best checkpointed model so that we can use it for predictions.\n", - "The best model is selected with respect to the `metric` and `mode` parameters we\n", - "pass to the `TunerConfig()`." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "d08b5b0a", - "metadata": { - "tags": [ - "hide-output" - ] - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    Trial name status loc eta max_depth min_child_weight subsample iter total time (s) eval-logloss eval-error
    train_breast_cancer_32eb5_00000TERMINATED127.0.0.1:897630.000830475 5 1 0.675899 10 0.0169384 0.640195 0.342657
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    \n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-02-11 16:13:35,717\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/Users/rdecal/ray_results/train_breast_cancer_2025-02-11_16-13-34' in 0.0018s.\n", - "2025-02-11 16:13:35,719\tINFO tune.py:1041 -- Total run time: 1.05 seconds (1.04 seconds for the tuning loop).\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best model parameters: {'objective': 'binary:logistic', 'eval_metric': ['logloss', 'error'], 'max_depth': 5, 'min_child_weight': 1, 'subsample': 0.675899175238225, 'eta': 0.0008304750981897656}\n", - "Best model total accuracy: 0.6573\n" - ] - } - ], - "source": [ - "import sklearn.datasets\n", - "import sklearn.metrics\n", - "from ray.tune.schedulers import ASHAScheduler\n", - "from sklearn.model_selection import train_test_split\n", - "import xgboost as xgb\n", - "\n", - "from ray import tune\n", - "from ray.tune.integration.xgboost import TuneReportCheckpointCallback\n", - "\n", - "\n", - "def train_breast_cancer(config: dict):\n", - " # This is a simple training function to be passed into Tune\n", - " # Load dataset\n", - " data, labels = sklearn.datasets.load_breast_cancer(return_X_y=True)\n", - " # Split into train and test set\n", - " train_x, test_x, train_y, test_y = train_test_split(data, labels, test_size=0.25)\n", - " # Build input matrices for XGBoost\n", - " train_set = xgb.DMatrix(train_x, label=train_y)\n", - " test_set = xgb.DMatrix(test_x, label=test_y)\n", - " # Train the classifier, using the Tune callback\n", - " xgb.train(\n", - " config,\n", - " train_set,\n", - " evals=[(test_set, \"eval\")],\n", - " verbose_eval=False,\n", - " # `TuneReportCheckpointCallback` defines the checkpointing frequency and format.\n", - " callbacks=[TuneReportCheckpointCallback(frequency=1)],\n", - " )\n", - "\n", - "\n", - "def get_best_model_checkpoint(results):\n", - " best_result = results.get_best_result()\n", - "\n", - " # `TuneReportCheckpointCallback` provides a helper method to retrieve the\n", - " # model from a checkpoint.\n", - " best_bst = TuneReportCheckpointCallback.get_model(best_result.checkpoint)\n", - "\n", - " accuracy = 1.0 - best_result.metrics[\"eval-error\"]\n", - " print(f\"Best model parameters: {best_result.config}\")\n", - " print(f\"Best model total accuracy: {accuracy:.4f}\")\n", - " return best_bst\n", - "\n", - "\n", - "def tune_xgboost(smoke_test=False):\n", - " search_space = {\n", - " # You can mix constants with search space objects.\n", - " \"objective\": \"binary:logistic\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " \"max_depth\": tune.randint(1, 9),\n", - " \"min_child_weight\": tune.choice([1, 2, 3]),\n", - " \"subsample\": tune.uniform(0.5, 1.0),\n", - " \"eta\": tune.loguniform(1e-4, 1e-1),\n", - " }\n", - " # This will enable aggressive early stopping of bad trials.\n", - " scheduler = ASHAScheduler(\n", - " max_t=10, grace_period=1, reduction_factor=2 # 10 training iterations\n", - " )\n", - "\n", - " tuner = tune.Tuner(\n", - " train_breast_cancer,\n", - " tune_config=tune.TuneConfig(\n", - " metric=\"eval-logloss\",\n", - " mode=\"min\",\n", - " scheduler=scheduler,\n", - " num_samples=1 if smoke_test else 10,\n", - " ),\n", - " param_space=search_space,\n", - " )\n", - " results = tuner.fit()\n", - " return results\n", - "\n", - "\n", - "results = tune_xgboost(smoke_test=SMOKE_TEST)\n", - "\n", - "# Load the best model checkpoint.\n", - "best_bst = get_best_model_checkpoint(results)\n", - "\n", - "# You could now do further predictions with\n", - "# best_bst.predict(...)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "20732fe4", - "metadata": {}, - "source": [ - "The output of our run could look like this:\n", - "\n", - "```{code-block} bash\n", - ":emphasize-lines: 7\n", - "\n", - " Number of trials: 10/10 (10 TERMINATED)\n", - " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------+\n", - " | Trial name | status | loc | eta | max_depth | min_child_weight | subsample | iter | total time (s) | eval-logloss | eval-error |\n", - " |---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------|\n", - " | train_breast_cancer_ba275_00000 | TERMINATED | | 0.00205087 | 2 | 1 | 0.898391 | 10 | 0.380619 | 0.678039 | 0.090909 |\n", - " | train_breast_cancer_ba275_00001 | TERMINATED | | 0.000183834 | 4 | 3 | 0.924939 | 1 | 0.0228798 | 0.693009 | 0.111888 |\n", - " | train_breast_cancer_ba275_00002 | TERMINATED | | 0.0242721 | 7 | 2 | 0.501551 | 10 | 0.376154 | 0.54472 | 0.06993 |\n", - " | train_breast_cancer_ba275_00003 | TERMINATED | | 0.000449692 | 5 | 3 | 0.890212 | 1 | 0.0234981 | 0.692811 | 0.090909 |\n", - " | train_breast_cancer_ba275_00004 | TERMINATED | | 0.000376393 | 7 | 2 | 0.883609 | 1 | 0.0231569 | 0.692847 | 0.062937 |\n", - " | train_breast_cancer_ba275_00005 | TERMINATED | | 0.00231942 | 3 | 3 | 0.877464 | 2 | 0.104867 | 0.689541 | 0.083916 |\n", - " | train_breast_cancer_ba275_00006 | TERMINATED | | 0.000542326 | 1 | 2 | 0.578584 | 1 | 0.0213971 | 0.692765 | 0.083916 |\n", - " | train_breast_cancer_ba275_00007 | TERMINATED | | 0.0016801 | 1 | 2 | 0.975302 | 1 | 0.02226 | 0.691999 | 0.083916 |\n", - " | train_breast_cancer_ba275_00008 | TERMINATED | | 0.000595756 | 8 | 3 | 0.58429 | 1 | 0.0221152 | 0.692657 | 0.06993 |\n", - " | train_breast_cancer_ba275_00009 | TERMINATED | | 0.000357845 | 8 | 1 | 0.637776 | 1 | 0.022635 | 0.692859 | 0.090909 |\n", - " +---------------------------------+------------+-------+-------------+-------------+--------------------+-------------+--------+------------------+----------------+--------------+\n", - "\n", - "\n", - " Best model parameters: {'objective': 'binary:logistic', 'eval_metric': ['logloss', 'error'], 'max_depth': 7, 'min_child_weight': 2, 'subsample': 0.5015513240240503, 'eta': 0.024272050872920895}\n", - " Best model total accuracy: 0.9301\n", - "```\n", - "\n", - "As you can see, most trials have been stopped only after a few iterations. Only the\n", - "two most promising trials were run for the full 10 iterations.\n", - "\n", - "You can also ensure that all available resources are being used as the scheduler\n", - "terminates trials, freeing them up. This can be done through the\n", - "`ResourceChangingScheduler`. An example of this can be found here:\n", - "{doc}`/tune/examples/includes/xgboost_dynamic_resources_example`.\n", - "\n", - "## Using fractional GPUs\n", - "\n", - "You can often accelerate your training by using GPUs in addition to CPUs. However,\n", - "you usually don't have as many GPUs as you have trials to run. For instance, if you\n", - "run 10 Tune trials in parallel, you usually don't have access to 10 separate GPUs.\n", - "\n", - "Tune supports *fractional GPUs*. This means that each task is assigned a fraction\n", - "of the GPU memory for training. For 10 tasks, this could look like this:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7d1b20a3", - "metadata": { - "tags": [ - "hide-output" - ] - }, - "outputs": [], - "source": [ - "config = {\n", - " \"objective\": \"binary:logistic\",\n", - " \"eval_metric\": [\"logloss\", \"error\"],\n", - " \"tree_method\": \"gpu_hist\",\n", - " \"max_depth\": tune.randint(1, 9),\n", - " \"min_child_weight\": tune.choice([1, 2, 3]),\n", - " \"subsample\": tune.uniform(0.5, 1.0),\n", - " \"eta\": tune.loguniform(1e-4, 1e-1),\n", - "}\n", - "\n", - "tuner = tune.Tuner(\n", - " tune.with_resources(train_breast_cancer, resources={\"cpu\": 1, \"gpu\": 0.1}),\n", - " tune_config=tune.TuneConfig(num_samples=1 if SMOKE_TEST else 10),\n", - " param_space=config,\n", - ")\n", - "results = tuner.fit()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ee131861", - "metadata": {}, - "source": [ - "Each task thus works with 10% of the available GPU memory. You also have to tell\n", - "XGBoost to use the `gpu_hist` tree method, so it knows it should use the GPU.\n", - "\n", - "## Conclusion\n", - "\n", - "You should now have a basic understanding on how to train XGBoost models and on how\n", - "to tune the hyperparameters to yield the best results. In our simple example,\n", - "Tuning the parameters didn't make a huge difference for the accuracy.\n", - "But in larger applications, intelligent hyperparameter tuning can make the\n", - "difference between a model that doesn't seem to learn at all, and a model\n", - "that outperforms all the other ones.\n", - "\n", - "## More XGBoost Examples\n", - "\n", - "- {doc}`/tune/examples/includes/xgboost_dynamic_resources_example`:\n", - " Trains a basic XGBoost model with Tune with the class-based API and a ResourceChangingScheduler, ensuring all resources are being used at all time.\n", - "- {doc}`/train/getting-started-xgboost`: Shows how to scale XGBoost single-model training with *Ray Train* (as opposed to hyperparameter tuning with Ray Tune).\n", - "\n", - "## Learn More\n", - "\n", - "- [XGBoost Hyperparameter Tuning - A Visual Guide](https://kevinvecmanis.io/machine%20learning/hyperparameter%20tuning/dataviz/python/2019/05/11/XGBoost-Tuning-Visual-Guide.html)\n", - "- [Notes on XGBoost Parameter Tuning](https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html)\n", - "- [Doing XGBoost Hyperparameter Tuning the smart way](https://towardsdatascience.com/doing-xgboost-hyper-parameter-tuning-the-smart-way-part-1-of-2-f6d255a45dde)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "xgboost-tune", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.11" - }, - "orphan": true - }, - "nbformat": 4, - "nbformat_minor": 5 -} + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/doc/source/tune/faq.rst b/doc/source/tune/faq.rst index 0268caa2f6d8..32aead3bf033 100644 --- a/doc/source/tune/faq.rst +++ b/doc/source/tune/faq.rst @@ -56,7 +56,7 @@ results per each added tree in GBDTs, etc.) using early stopping usually allows more configurations, as unpromising trials are pruned before they run their full course. Please note that not all search algorithms can use information from pruned trials. Early stopping cannot be used without incremental results - in case of the functional API, -that means that ``session.report()`` has to be called more than once - usually in a loop. +that means that ``tune.report()`` has to be called more than once - usually in a loop. **If your model is small**, you can usually try to run many different configurations. A **random search** can be used to generate configurations. You can also grid search @@ -171,7 +171,7 @@ the a and b variables and use them afterwards. How does early termination (e.g. Hyperband/ASHA) work? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Early termination algorithms look at the intermediately reported values, -e.g. what is reported to them via ``session.report()`` after each training +e.g. what is reported to them via ``tune.report()`` after each training epoch. After a certain number of steps, they then remove the worst performing trials and keep only the best performing trials. Goodness of a trial is determined by ordering them by the objective metric, for instance accuracy @@ -188,8 +188,8 @@ Why are all my trials returning "1" iteration? **This is most likely applicable for the Tune function API.** -Ray Tune counts iterations internally every time ``session.report()`` is -called. If you only call ``session.report()`` once at the end of the training, +Ray Tune counts iterations internally every time ``tune.report()`` is +called. If you only call ``tune.report()`` once at the end of the training, the counter has only been incremented once. If you're using the class API, the counter is increased after calling ``step()``. @@ -203,7 +203,7 @@ What are all these extra outputs? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You'll notice that Ray Tune not only reports hyperparameters (from the -``config``) or metrics (passed to ``session.report()``), but also some other +``config``) or metrics (passed to ``tune.report()``), but also some other outputs. .. code-block:: bash @@ -446,7 +446,7 @@ dictionary should only contain primitive types, like numbers or strings. **The Trial result is very large** This is the case if you return objects, data, or other large objects via the return value of ``step()`` in -your class trainable or to ``session.report()`` in your function trainable. The effect is the same as above: +your class trainable or to ``tune.report()`` in your function trainable. The effect is the same as above: The results are repeatedly serialized and written to disk, and this can take a long time. **Solution**: Use checkpoint by writing data to the trainable's current working directory instead. There are various ways diff --git a/doc/source/tune/tutorials/tune-lifecycle.rst b/doc/source/tune/tutorials/tune-lifecycle.rst index 05c1c6572f6c..a42ae523368b 100644 --- a/doc/source/tune/tutorials/tune-lifecycle.rst +++ b/doc/source/tune/tutorials/tune-lifecycle.rst @@ -60,7 +60,7 @@ After each invocation, the driver is notified that a "result dict" is ready. The driver will then pull the result via ``ray.get``. If the trainable is a callable or a function, it will be executed on the Ray actor process on a separate execution thread. -Whenever ``session.report`` is called, the execution thread is paused and waits for the driver to pull a +Whenever ``tune.report`` is called, the execution thread is paused and waits for the driver to pull a result (see `function_trainable.py `__. After pulling, the actor’s execution thread will automatically resume. diff --git a/doc/source/tune/tutorials/tune-output.rst b/doc/source/tune/tutorials/tune-output.rst index 2071ff7c521f..b87baa9b63bf 100644 --- a/doc/source/tune/tutorials/tune-output.rst +++ b/doc/source/tune/tutorials/tune-output.rst @@ -206,7 +206,7 @@ You can save trial artifacts directly in the trainable, as shown below: .. code-block:: python import logging_library # ex: mlflow, wandb - from ray import train + from ray import tune def trainable(config): logging_library.init( diff --git a/doc/source/tune/tutorials/tune-resources.rst b/doc/source/tune/tutorials/tune-resources.rst index 7954dc65c0f6..3ed8aacc1ea8 100644 --- a/doc/source/tune/tutorials/tune-resources.rst +++ b/doc/source/tune/tutorials/tune-resources.rst @@ -65,9 +65,6 @@ Tune will allocate the specified GPU and CPU as specified by ``tune.with_resourc Even if the trial cannot be scheduled right now, Ray Tune will still try to start the respective placement group. If not enough resources are available, this will trigger :ref:`autoscaling behavior ` if you're using the Ray cluster launcher. -.. warning:: - ``tune.with_resources`` cannot be used with :ref:`Ray Train Trainers `. If you are passing a Trainer to a Tuner, specify the resource requirements in the Trainer instance using :class:`~ray.train.ScalingConfig`. The general principles outlined below still apply. - It is also possible to specify memory (``"memory"``, in bytes) and custom resource requirements. If your trainable function starts more remote workers, you will need to pass so-called placement group diff --git a/doc/source/tune/tutorials/tune-search-spaces.rst b/doc/source/tune/tutorials/tune-search-spaces.rst index f3707fa80ac1..da23a6b63058 100644 --- a/doc/source/tune/tutorials/tune-search-spaces.rst +++ b/doc/source/tune/tutorials/tune-search-spaces.rst @@ -110,7 +110,7 @@ for a total of 90 trials, each with randomly sampled values of ``alpha`` and ``b tuner = tune.Tuner( my_trainable, - run_config=RunConfig(name="my_trainable"), + run_config=tune.RunConfig(name="my_trainable"), # num_samples will repeat the entire config 10 times. tune_config=tune.TuneConfig(num_samples=10), param_space={ @@ -134,9 +134,6 @@ for a total of 90 trials, each with randomly sampled values of ``alpha`` and ``b from disk (making sure that all nodes have access to the files) or cloud storage. See :ref:`tune-bottlenecks` for more information. -Note that when using Ray Train with Ray Tune, certain config objects can also be included -as part of the search space, thereby allowing you to tune things like number of workers for a trainer. - .. _tune_custom-search: How to use Custom and Conditional Search Spaces in Tune? diff --git a/doc/source/tune/tutorials/tune-stopping.rst b/doc/source/tune/tutorials/tune-stopping.rst index 44ca5cb4bb00..61fdad5e9400 100644 --- a/doc/source/tune/tutorials/tune-stopping.rst +++ b/doc/source/tune/tutorials/tune-stopping.rst @@ -52,7 +52,7 @@ You can implement the stopping criteria using either a dictionary, a function, o .. tab-item:: Dictionary - If a dictionary is passed in, the keys may be any field in the return result of ``session.report`` in the + If a dictionary is passed in, the keys may be any field in the return result of ``tune.report`` in the Function API or ``step()`` in the Class API. .. note:: @@ -100,7 +100,7 @@ You can implement the stopping criteria using either a dictionary, a function, o .. note:: When returning ``True`` from ``stop_all``, currently running trials will not stop immediately. - They will stop after finishing their ongoing training iteration (after ``session.report`` or ``step``). + They will stop after finishing their ongoing training iteration (after ``tune.report`` or ``step``). Ray Tune comes with a set of out-of-the-box stopper classes. See the :ref:`Stopper ` documentation. diff --git a/doc/source/tune/tutorials/tune-trial-checkpoints.rst b/doc/source/tune/tutorials/tune-trial-checkpoints.rst index 42943e9add01..bf64b1566758 100644 --- a/doc/source/tune/tutorials/tune-trial-checkpoints.rst +++ b/doc/source/tune/tutorials/tune-trial-checkpoints.rst @@ -17,7 +17,7 @@ Function API Checkpointing -------------------------- If using Ray Tune's Function API, one can save and load checkpoints in the following manner. -To create a checkpoint, use the :meth:`~ray.train.Checkpoint.from_directory` APIs. +To create a checkpoint, use the :meth:`~ray.tune.Checkpoint.from_directory` APIs. .. literalinclude:: /tune/doc_code/trial_checkpoint.py :language: python @@ -43,7 +43,7 @@ In the above code snippet: :end-before: __function_api_checkpointing_periodic_end__ -See :class:`here for more information on creating checkpoints `. +See :class:`here for more information on creating checkpoints `. .. _tune-class-trainable-checkpointing: diff --git a/doc/source/tune/tutorials/tune_get_data_in_and_out.md b/doc/source/tune/tutorials/tune_get_data_in_and_out.md index b255c29c581d..47d5b497ae50 100644 --- a/doc/source/tune/tutorials/tune_get_data_in_and_out.md +++ b/doc/source/tune/tutorials/tune_get_data_in_and_out.md @@ -206,7 +206,7 @@ Tune will automatically include some metrics, such as the training iteration, ti In our example, we want to maximize the `metric`. We will report it each epoch to Tune, and set the `metric` and `mode` arguments in `tune.TuneConfig` to let Tune know that it should use it as the optimization objective. ```python -from ray import train +from ray import tune def training_function(config, data): @@ -287,7 +287,7 @@ tuner = tune.Tuner( Aside from metrics, you may want to save the state of your trained model and any other artifacts to allow resumption from training failure and further inspection and usage. Those cannot be saved as metrics, as they are often far too large and may not be easily serializable. Finally, they should be persisted on disk or cloud storage to allow access after the Tune run is interrupted or terminated. -Ray Train provides a {class}`Checkpoint ` API for that purpose. `Checkpoint` objects can be created from various sources (dictionaries, directories, cloud storage). +Ray Train provides a {class}`Checkpoint ` API for that purpose. `Checkpoint` objects can be created from various sources (dictionaries, directories, cloud storage). In Ray Tune, `Checkpoints` are created by the user in their Trainable functions and reported using the optional `checkpoint` argument of `tune.report`. `Checkpoints` can contain arbitrary data and can be freely passed around the Ray cluster. After a tuning run is over, `Checkpoints` can be [obtained from the results](tune-analysis-guide). From 3d4d54acd52f469541829aee470d4c6326f48638 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 23 Sep 2025 19:11:22 -0700 Subject: [PATCH 1370/1566] [tune] Enable Train V2 in Tune unit tests and examples (#56816) Flip the flag for Tune CI in preparation for turning on Train V2 by default. This doesn't have any behavior change, but this asserts that `ray.train` -> `ray.tune` updates have all happened. Note that a few tests have been left behind due to testing legacy Train+Tune integration: * `test_api_checkpoint_integration` * `test_tuner` * `test_tuner_restore` --------- Signed-off-by: Justin Yu Signed-off-by: Douglas Strodtman --- python/ray/tune/BUILD.bazel | 98 +++++++++++++++++++ .../xgboost_dynamic_resources_example.py | 2 +- python/ray/tune/examples/xgboost_example.py | 2 +- .../ray/tune/tests/_test_multi_tenancy_run.py | 26 ++--- .../tests/test_api_checkpoint_integration.py | 3 +- python/ray/tune/tests/test_commands.py | 1 - python/ray/tune/tests/test_experiment.py | 1 - python/ray/tune/tests/test_function_api.py | 1 - python/ray/tune/tests/test_remote.py | 1 - python/ray/tune/tests/test_run_experiment.py | 1 - python/ray/tune/tests/test_tune_restore.py | 1 - python/ray/tune/tests/test_tuner.py | 1 + python/ray/tune/tests/test_tuner_restore.py | 1 + 13 files changed, 111 insertions(+), 28 deletions(-) diff --git a/python/ray/tune/BUILD.bazel b/python/ray/tune/BUILD.bazel index 60247d22ee81..9cbc2ed0d091 100644 --- a/python/ray/tune/BUILD.bazel +++ b/python/ray/tune/BUILD.bazel @@ -51,6 +51,7 @@ py_test( name = "test_actor_reuse", size = "large", srcs = ["tests/test_actor_reuse.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -65,6 +66,7 @@ py_test( name = "test_api", size = "large", srcs = ["tests/test_api.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "rllib", @@ -77,6 +79,8 @@ py_test( name = "test_api_checkpoint_integration", size = "medium", srcs = ["tests/test_api_checkpoint_integration.py"], + # Tests V1 Train/Tune integration. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "exclusive", "team:ml", @@ -88,6 +92,8 @@ py_test( name = "test_api_migrations", size = "small", srcs = ["tests/test_api_migrations.py"], + # Disable V2 since we explicitly test V1 -> V2 migration. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "exclusive", "team:ml", @@ -99,6 +105,7 @@ py_test( name = "test_callbacks", size = "small", srcs = ["tests/test_callbacks.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -110,6 +117,7 @@ py_test( name = "test_cluster", size = "large", srcs = ["tests/test_cluster.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "rllib", @@ -122,6 +130,7 @@ py_test( name = "test_commands", size = "medium", srcs = ["tests/test_commands.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -133,6 +142,7 @@ py_test( name = "test_convergence", size = "medium", srcs = ["tests/test_convergence.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -144,6 +154,7 @@ py_test( name = "test_dependency", size = "small", srcs = ["tests/test_dependency.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -155,6 +166,7 @@ py_test( name = "test_env_callbacks", size = "small", srcs = ["tests/test_env_callbacks.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -166,6 +178,7 @@ py_test( name = "test_experiment", size = "small", srcs = ["tests/test_experiment.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -177,6 +190,7 @@ py_test( name = "test_experiment_analysis", size = "small", srcs = ["tests/test_experiment_analysis.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -191,6 +205,7 @@ py_test( name = "test_function_api", size = "medium", srcs = ["tests/test_function_api.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -202,6 +217,7 @@ py_test( name = "test_integration_pytorch_lightning", size = "small", srcs = ["tests/test_integration_pytorch_lightning.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -213,6 +229,7 @@ py_test( name = "test_logger", size = "small", srcs = ["tests/test_logger.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = ["team:ml"], deps = [":tune_lib"], ) @@ -224,6 +241,7 @@ py_test( "tests/_test_multi_tenancy_run.py", "tests/test_multi_tenancy.py", ], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = ["team:ml"], deps = [":tune_lib"], ) @@ -232,6 +250,7 @@ py_test( name = "test_progress_reporter", size = "medium", srcs = ["tests/test_progress_reporter.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -243,6 +262,7 @@ py_test( name = "test_resource_updater", size = "small", srcs = ["tests/test_resource_updater.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -254,6 +274,7 @@ py_test( name = "test_run_experiment", size = "medium", srcs = ["tests/test_run_experiment.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -265,6 +286,7 @@ py_test( name = "test_remote", size = "medium", srcs = ["tests/test_remote.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -276,6 +298,7 @@ py_test( name = "test_result_grid", size = "medium", srcs = ["tests/test_result_grid.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -290,6 +313,7 @@ py_test( name = "test_warnings", size = "medium", srcs = ["tests/test_warnings.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -301,6 +325,7 @@ py_test( name = "test_sample", size = "large", srcs = ["tests/test_sample.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "medium_instance", @@ -313,6 +338,7 @@ py_test( name = "test_placeholder", size = "small", srcs = ["tests/test_placeholder.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -324,6 +350,7 @@ py_test( name = "test_searcher_utils", size = "small", srcs = ["tests/test_searcher_utils.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -335,6 +362,7 @@ py_test( name = "test_searchers", size = "large", srcs = ["tests/test_searchers.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "medium_instance", @@ -347,6 +375,7 @@ py_test( name = "test_soft_imports", size = "small", srcs = ["tests/test_soft_imports.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "soft_imports", "team:ml", @@ -358,6 +387,7 @@ py_test( name = "test_stopper", size = "small", srcs = ["tests/test_stopper.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -369,6 +399,7 @@ py_test( name = "test_util_file_transfer", size = "medium", srcs = ["tests/test_util_file_transfer.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -380,6 +411,7 @@ py_test( name = "test_util_object_cache", size = "small", srcs = ["tests/test_util_object_cache.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -391,6 +423,7 @@ py_test( name = "test_syncer", size = "medium", srcs = ["tests/test_syncer.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -417,6 +450,7 @@ py_test( name = "test_trainable", size = "medium", srcs = ["tests/test_trainable.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -428,6 +462,7 @@ py_test( name = "test_trainable_util", size = "small", srcs = ["tests/test_trainable_util.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -439,6 +474,7 @@ py_test( name = "test_trial", size = "small", srcs = ["tests/test_trial.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -450,6 +486,7 @@ py_test( name = "test_var", size = "medium", srcs = ["tests/test_var.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -461,6 +498,7 @@ py_test( name = "test_trial_scheduler", size = "large", srcs = ["tests/test_trial_scheduler.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "medium_instance", @@ -473,6 +511,7 @@ py_test( name = "test_trial_scheduler_pbt", size = "large", srcs = ["tests/test_trial_scheduler_pbt.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "medium_instance", @@ -485,6 +524,7 @@ py_test( name = "test_trial_scheduler_resource_changing", size = "small", srcs = ["tests/test_trial_scheduler_resource_changing.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -496,6 +536,7 @@ py_test( name = "test_tune_restore_warm_start", size = "large", srcs = ["tests/test_tune_restore_warm_start.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -507,6 +548,7 @@ py_test( name = "test_tune_restore", size = "large", srcs = ["tests/test_tune_restore.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "rllib", @@ -519,6 +561,7 @@ py_test( name = "test_tune_save_restore", size = "small", srcs = ["tests/test_tune_save_restore.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -530,6 +573,8 @@ py_test( name = "test_tuner", size = "large", srcs = ["tests/test_tuner.py"], + # Tests V1 Train+Tune integration. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "exclusive", "medium_instance", @@ -542,6 +587,8 @@ py_test( name = "test_tuner_restore", size = "large", srcs = ["tests/test_tuner_restore.py"], + # Tests V1 Train+Tune integration. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "exclusive", "team:ml", @@ -556,6 +603,7 @@ py_test( name = "test_utils", size = "small", srcs = ["tests/test_utils.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -572,6 +620,7 @@ py_test( name = "example", size = "small", srcs = ["tests/example.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -586,6 +635,7 @@ py_test( name = "tutorial", size = "medium", srcs = ["tests/tutorial.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -605,6 +655,7 @@ py_test( name = "test_actor_caching", size = "small", srcs = ["tests/execution/test_actor_caching.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -616,6 +667,7 @@ py_test( name = "test_controller_callback_integration", size = "large", srcs = ["tests/execution/test_controller_callback_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -627,6 +679,7 @@ py_test( name = "test_controller_checkpointing_integration", size = "large", srcs = ["tests/execution/test_controller_checkpointing_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -638,6 +691,7 @@ py_test( name = "test_controller_control_integration", size = "large", srcs = ["tests/execution/test_controller_control_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -649,6 +703,7 @@ py_test( name = "test_controller_errors_integration", size = "large", srcs = ["tests/execution/test_controller_errors_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -660,6 +715,7 @@ py_test( name = "test_controller_resources_integration", size = "large", srcs = ["tests/execution/test_controller_resources_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -671,6 +727,7 @@ py_test( name = "test_controller_resume_integration", size = "large", srcs = ["tests/execution/test_controller_resume_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -682,6 +739,7 @@ py_test( name = "test_controller_search_alg_integration", size = "large", srcs = ["tests/execution/test_controller_search_alg_integration.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", @@ -698,6 +756,7 @@ py_test( size = "small", srcs = ["examples/async_hyperband_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -711,6 +770,7 @@ py_test( size = "small", srcs = ["examples/ax_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -724,6 +784,7 @@ py_test( size = "medium", srcs = ["examples/bayesopt_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -736,6 +797,7 @@ py_test( name = "bohb_example", size = "medium", srcs = ["examples/bohb_example.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -749,6 +811,7 @@ py_test( size = "medium", srcs = ["examples/cifar10_pytorch.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -763,6 +826,7 @@ py_test( size = "small", srcs = ["examples/custom_func_checkpointing.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -776,6 +840,7 @@ py_test( size = "medium", srcs = ["examples/hyperband_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -789,6 +854,7 @@ py_test( size = "small", srcs = ["examples/hyperband_function_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -802,6 +868,7 @@ py_test( size = "small", srcs = ["examples/hyperopt_conditional_search_space_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -814,6 +881,8 @@ py_test( name = "lightgbm_example", size = "small", srcs = ["examples/lightgbm_example.py"], + # TODO: [V2] Enable after fixing lightgbm Tune callback. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "example", "exclusive", @@ -827,6 +896,8 @@ py_test( size = "small", srcs = ["examples/lightgbm_example.py"], args = ["--use-cv"], + # TODO: [V2] Enable after fixing lightgbm Tune callback. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, main = "examples/lightgbm_example.py", tags = [ "example", @@ -841,6 +912,7 @@ py_test( size = "small", srcs = ["examples/logging_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -853,6 +925,7 @@ py_test( name = "mlflow_example", size = "medium", srcs = ["examples/mlflow_example.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -866,6 +939,7 @@ py_test( size = "medium", srcs = ["examples/mlflow_ptl.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -880,6 +954,7 @@ py_test( size = "small", srcs = ["examples/mnist_pytorch.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -894,6 +969,7 @@ py_test( size = "medium", srcs = ["examples/mnist_ptl_mini.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -908,6 +984,7 @@ py_test( size = "small", srcs = ["examples/mnist_pytorch_trainable.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -922,6 +999,7 @@ py_test( size = "small", srcs = ["examples/nevergrad_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -935,6 +1013,7 @@ py_test( size = "small", srcs = ["examples/optuna_define_by_run_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -948,6 +1027,7 @@ py_test( size = "small", srcs = ["examples/optuna_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -961,6 +1041,7 @@ py_test( size = "medium", srcs = ["examples/optuna_multiobjective_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -975,6 +1056,7 @@ py_test( size = "small", srcs = ["examples/pb2_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -988,6 +1070,7 @@ py_test( size = "small", srcs = ["examples/pbt_convnet_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1001,6 +1084,7 @@ py_test( size = "small", srcs = ["examples/pbt_convnet_function_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1014,6 +1098,7 @@ py_test( size = "medium", srcs = ["examples/pbt_dcgan_mnist/pbt_dcgan_mnist_func.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1027,6 +1112,7 @@ py_test( size = "medium", srcs = ["examples/pbt_dcgan_mnist/pbt_dcgan_mnist_trainable.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1040,6 +1126,7 @@ py_test( size = "small", srcs = ["examples/pbt_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1053,6 +1140,7 @@ py_test( size = "small", srcs = ["examples/pbt_function.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1066,6 +1154,7 @@ py_test( size = "small", srcs = ["examples/pbt_memnn_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1109,6 +1198,7 @@ py_test( size = "medium", srcs = ["examples/tf_mnist_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1123,6 +1213,7 @@ py_test( size = "small", srcs = ["examples/tune_basic_example.py"], args = ["--smoke-test"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1135,6 +1226,7 @@ py_test( name = "test_telemetry", size = "small", srcs = ["tests/test_telemetry.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = ["team:ml"], deps = [":tune_lib"], ) @@ -1144,6 +1236,8 @@ py_test( size = "medium", srcs = ["examples/tune_mnist_keras.py"], args = ["--smoke-test"], + # TODO: [V2] Enable after fixing Tune keras callback. + env = {"RAY_TRAIN_V2_ENABLED": "0"}, tags = [ "example", "exclusive", @@ -1156,6 +1250,7 @@ py_test( name = "xgboost_example", size = "small", srcs = ["examples/xgboost_example.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1169,6 +1264,7 @@ py_test( size = "small", srcs = ["examples/xgboost_example.py"], args = ["--use-cv"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, main = "examples/xgboost_example.py", tags = [ "example", @@ -1182,6 +1278,7 @@ py_test( name = "xgboost_dynamic_resources_example", size = "large", srcs = ["examples/xgboost_dynamic_resources_example.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "example", "exclusive", @@ -1199,6 +1296,7 @@ py_test( name = "test_output", size = "small", srcs = ["tests/output/test_output.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", "team:ml", diff --git a/python/ray/tune/examples/xgboost_dynamic_resources_example.py b/python/ray/tune/examples/xgboost_dynamic_resources_example.py index e84ef5219e22..c034b0b7ce4d 100644 --- a/python/ray/tune/examples/xgboost_dynamic_resources_example.py +++ b/python/ray/tune/examples/xgboost_dynamic_resources_example.py @@ -18,7 +18,7 @@ CHECKPOINT_FILENAME = "booster-checkpoint.json" -def get_best_model_checkpoint(best_result: "ray.train.Result"): +def get_best_model_checkpoint(best_result: "ray.tune.Result"): best_bst = TuneReportCheckpointCallback.get_model( best_result.checkpoint, filename=CHECKPOINT_FILENAME ) diff --git a/python/ray/tune/examples/xgboost_example.py b/python/ray/tune/examples/xgboost_example.py index 951ab8977056..8a054533cdac 100644 --- a/python/ray/tune/examples/xgboost_example.py +++ b/python/ray/tune/examples/xgboost_example.py @@ -66,7 +66,7 @@ def average_cv_folds(results_dict: Dict[str, List[float]]) -> Dict[str, float]: ) -def get_best_model_checkpoint(best_result: "ray.train.Result"): +def get_best_model_checkpoint(best_result: "ray.tune.Result"): best_bst = TuneReportCheckpointCallback.get_model( best_result.checkpoint, filename=CHECKPOINT_FILENAME ) diff --git a/python/ray/tune/tests/_test_multi_tenancy_run.py b/python/ray/tune/tests/_test_multi_tenancy_run.py index d4801fa01ca6..040573517461 100644 --- a/python/ray/tune/tests/_test_multi_tenancy_run.py +++ b/python/ray/tune/tests/_test_multi_tenancy_run.py @@ -2,8 +2,7 @@ import time from pathlib import Path -from ray import train, tune -from ray.train.data_parallel_trainer import DataParallelTrainer +from ray import tune from ray.tune.search import BasicVariantGenerator # Hang full script until this marker is deleted @@ -48,28 +47,17 @@ def train_func(config): time.sleep(0.1) # Finish trial - train.report({"param": config["param"], "fixed": config["fixed"]}) + tune.report({"param": config["param"], "fixed": config["fixed"]}) if __name__ == "__main__": - trainer = DataParallelTrainer( - train_loop_per_worker=train_func, - train_loop_config={ - "fixed": FIXED_VAL, - }, - scaling_config=train.ScalingConfig( - num_workers=1, trainer_resources={"CPU": 0}, resources_per_worker={"CPU": 2} - ), - ) - tuner = tune.Tuner( - trainer, + tune.with_resources(train_func, {"CPU": 2}), param_space={ - "train_loop_config": { - "param": tune.grid_search(VALS), - "delete_marker": DELETE_TRIAL_MARKER, - "hang_marker": HANG_TRIAL_MARKER, - } + "fixed": FIXED_VAL, + "param": tune.grid_search(VALS), + "delete_marker": DELETE_TRIAL_MARKER, + "hang_marker": HANG_TRIAL_MARKER, }, tune_config=tune.TuneConfig(search_alg=BasicVariantGenerator(max_concurrent=1)), ) diff --git a/python/ray/tune/tests/test_api_checkpoint_integration.py b/python/ray/tune/tests/test_api_checkpoint_integration.py index c476cb5cbaa0..073bf8485e6c 100644 --- a/python/ray/tune/tests/test_api_checkpoint_integration.py +++ b/python/ray/tune/tests/test_api_checkpoint_integration.py @@ -25,6 +25,7 @@ def ray_start_4_cpus_2_gpus_extra(): ray.shutdown() +# TODO: [V2] Delete the `data_parallel` variant once V1 is fully removed. @pytest.mark.parametrize("trainable_type", ["class", "function", "data_parallel"]) @pytest.mark.parametrize("patch_iter", [False, True]) def test_checkpoint_freq_dir_name( @@ -77,7 +78,7 @@ def train_fn(config): (Path(checkpoint_dir) / "data.ckpt").write_text(str(step)) ray.tune.report( {"step": step}, - checkpoint=ray.train.Checkpoint.from_directory( + checkpoint=ray.tune.Checkpoint.from_directory( checkpoint_dir ), ) diff --git a/python/ray/tune/tests/test_commands.py b/python/ray/tune/tests/test_commands.py index b649c65ed59c..684efae8f4d7 100644 --- a/python/ray/tune/tests/test_commands.py +++ b/python/ray/tune/tests/test_commands.py @@ -9,7 +9,6 @@ import pytest import ray -import ray.train from ray import tune from ray.train.tests.util import create_dict_checkpoint from ray.tune.cli import commands diff --git a/python/ray/tune/tests/test_experiment.py b/python/ray/tune/tests/test_experiment.py index b200d6610dcb..c1ebf4223d48 100644 --- a/python/ray/tune/tests/test_experiment.py +++ b/python/ray/tune/tests/test_experiment.py @@ -2,7 +2,6 @@ import unittest import ray -import ray.train from ray.tune import CheckpointConfig, register_trainable from ray.tune.error import TuneError from ray.tune.experiment import Experiment, _convert_to_experiment_list diff --git a/python/ray/tune/tests/test_function_api.py b/python/ray/tune/tests/test_function_api.py index 79b665921e12..debfd98ee6d3 100644 --- a/python/ray/tune/tests/test_function_api.py +++ b/python/ray/tune/tests/test_function_api.py @@ -5,7 +5,6 @@ import unittest import ray -import ray.train from ray import tune from ray.air.constants import TRAINING_ITERATION from ray.rllib import _register_all diff --git a/python/ray/tune/tests/test_remote.py b/python/ray/tune/tests/test_remote.py index b13cb97dde2b..82e4b8d93244 100644 --- a/python/ray/tune/tests/test_remote.py +++ b/python/ray/tune/tests/test_remote.py @@ -3,7 +3,6 @@ from unittest.mock import patch import ray -import ray.train from ray.tune import choice, register_trainable, run, run_experiments from ray.tune.experiment import Experiment, Trial from ray.tune.result import TIMESTEPS_TOTAL diff --git a/python/ray/tune/tests/test_run_experiment.py b/python/ray/tune/tests/test_run_experiment.py index 7ea5354305ee..8af9896d3416 100644 --- a/python/ray/tune/tests/test_run_experiment.py +++ b/python/ray/tune/tests/test_run_experiment.py @@ -2,7 +2,6 @@ import unittest import ray -import ray.train from ray.tune import ( CheckpointConfig, Trainable, diff --git a/python/ray/tune/tests/test_tune_restore.py b/python/ray/tune/tests/test_tune_restore.py index a259a6678ca9..545003b43d5a 100644 --- a/python/ray/tune/tests/test_tune_restore.py +++ b/python/ray/tune/tests/test_tune_restore.py @@ -15,7 +15,6 @@ import pytest import ray -import ray.train from ray import tune from ray._private.test_utils import run_string_as_driver from ray.exceptions import RayTaskError diff --git a/python/ray/tune/tests/test_tuner.py b/python/ray/tune/tests/test_tuner.py index 712745503ab1..aeee074b5812 100644 --- a/python/ray/tune/tests/test_tuner.py +++ b/python/ray/tune/tests/test_tuner.py @@ -377,6 +377,7 @@ def test_nonserializable_trainable(): Tuner(lambda config: print(lock)) +# TODO: [V2] Delete the `trainer` variant once V1 is fully removed. def _test_no_chdir(runner_type, runtime_env, use_deprecated_config=False): # Write a data file that we want to read in our training loop with open("./read.txt", "w") as f: diff --git a/python/ray/tune/tests/test_tuner_restore.py b/python/ray/tune/tests/test_tuner_restore.py index 67baf151ace4..eddffdc89c5b 100644 --- a/python/ray/tune/tests/test_tuner_restore.py +++ b/python/ray/tune/tests/test_tuner_restore.py @@ -875,6 +875,7 @@ def on_trial_result(self, runner, trial, result): ) +# TODO: [V2] Delete the `data_parallel` variant once V1 is fully removed. @pytest.mark.parametrize("trainable_type", ["function", "class", "data_parallel"]) def test_checkpoints_saved_after_resume(ray_start_2_cpus, tmp_path, trainable_type): """Checkpoints saved after experiment restore should pick up at the correct From 78ce38e9ad8b92517939f80bee3ff98bb176783b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 23 Sep 2025 23:11:05 -0700 Subject: [PATCH 1371/1566] [core] building ray core binary parts with wanda on manylinux (#56825) this allows caching the core binary parts with c/c++ files are not changed Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 14 +++++++++++++ ci/docker/ray-core.Dockerfile | 39 +++++++++++++++++++++++++++++++++++ ci/docker/ray-core.wanda.yaml | 27 ++++++++++++++++++++++++ 3 files changed, 80 insertions(+) create mode 100644 ci/docker/ray-core.Dockerfile create mode 100644 ci/docker/ray-core.wanda.yaml diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 99f4800a16f3..22e4c8dcbcdd 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -1,5 +1,19 @@ group: build steps: + - name: wanda_ray_core + label: "wanda: core binary parts py{{matrix}} (x86_64)" + wanda: ci/docker/ray-core.wanda.yaml + matrix: + - "3.9" + - "3.10" + - "3.11" + - "3.12" + - "3.13" + env: + PYTHON_VERSION: "{{matrix}}" + ARCH_SUFFIX: "" + depends_on: manylinux + - label: ":tapioca: build: wheel {{matrix}} (x86_64)" key: linux_wheels tags: diff --git a/ci/docker/ray-core.Dockerfile b/ci/docker/ray-core.Dockerfile new file mode 100644 index 000000000000..535a3cbba3c3 --- /dev/null +++ b/ci/docker/ray-core.Dockerfile @@ -0,0 +1,39 @@ +# syntax=docker/dockerfile:1.3-labs +FROM cr.ray.io/rayproject/manylinux as builder + +ARG PYTHON_VERSION=3.9 +ARG BUILDKITE_BAZEL_CACHE_URL +ARG BUILDKITE_CACHE_READONLY + +RUN mkdir /home/forge/ray + +WORKDIR /home/forge/ray + +COPY . . + +RUN <> "$HOME/.bazelrc" +fi + +bazelisk build --config=ci //:ray_pkg_zip + +cp bazel-bin/ray_pkg.zip /ray_pkg.zip + +EOF + +FROM scratch + +COPY --from=builder /ray_pkg.zip /ray_pkg.zip diff --git a/ci/docker/ray-core.wanda.yaml b/ci/docker/ray-core.wanda.yaml new file mode 100644 index 000000000000..000802486d7a --- /dev/null +++ b/ci/docker/ray-core.wanda.yaml @@ -0,0 +1,27 @@ +name: "ray_core_py$PYTHON_VERSION$ARCH_SUFFIX" +froms: ["cr.ray.io/rayproject/manylinux"] +srcs: + - .bazelversion + - .bazelrc + - WORKSPACE + - BUILD.bazel + - bazel/ + - thirdparty/ + - src/ + - gen_ray_pkg.py + - python/ray/__init__.py + - python/ray/_raylet.pxd + - python/ray/_raylet.pyi + - python/ray/_raylet.pyx + - python/ray/includes/ + - java/BUILD.bazel + - java/dependencies.bzl + - release/BUILD.bazel + - release/requirements_buildkite.txt +build_args: + - PYTHON_VERSION + - ARCH_SUFFIX + - BUILDKITE_BAZEL_CACHE_URL +build_hint_args: + - BUILDKITE_CACHE_READONLY +dockerfile: ci/docker/ray-core.Dockerfile From fcef9578893256e906e5e06b2cb7bdf43e6d3925 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Wed, 24 Sep 2025 03:06:36 -0700 Subject: [PATCH 1372/1566] [core][rdt] Retry + Make FreeActorObject idempotent (#56447) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 3 ++- .../gpu_object_manager/gpu_object_store.py | 9 +++++++++ src/mock/ray/rpc/worker/core_worker_client.h | 2 +- src/ray/core_worker/task_manager.cc | 7 +++++-- src/ray/core_worker_rpc_client/core_worker_client.h | 11 ++++++----- .../core_worker_client_interface.h | 2 +- .../core_worker_rpc_client/fake_core_worker_client.h | 2 +- src/ray/protobuf/core_worker.proto | 1 + 8 files changed, 26 insertions(+), 11 deletions(-) diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index 4b2f7ebc3e8e..f417d3a567f3 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -2326,10 +2326,11 @@ cdef execute_task_with_cancellation_handler( " for this method.") cdef void free_actor_object_callback(const CObjectID &c_object_id) nogil: + # Expected to be idempotent and only called on the primary copy holder. with gil: object_id = c_object_id.Hex().decode() gpu_object_manager = ray._private.worker.global_worker.gpu_object_manager - gpu_object_manager.gpu_object_store.pop_object(object_id) + gpu_object_manager.gpu_object_store.free_object_primary_copy(object_id) cdef shared_ptr[LocalMemoryBuffer] ray_error_to_memory_buf(ray_error): cdef bytes py_bytes = ray_error.to_bytes() diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index 3bd9f532ad1d..f9cc08861892 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -256,6 +256,15 @@ def _wait_object(self, obj_id: str, timeout: Optional[float] = None) -> None: f"ObjectRef({obj_id}) not found in RDT object store after {timeout}s, transfer may have failed. Please report this issue on GitHub: https://github.com/ray-project/ray/issues/new/choose" ) + def free_object_primary_copy(self, obj_id: str) -> None: + # Expected to be idempotent when called from HandleFreeActorObject because the + # primary copy holder should always only have one ref in the deque. + try: + self.pop_object(obj_id) + except AssertionError: + # This could fail if this is a retry and it's already been freed. + pass + def pop_object(self, obj_id: str) -> List["torch.Tensor"]: with self._lock: assert self.has_object( diff --git a/src/mock/ray/rpc/worker/core_worker_client.h b/src/mock/ray/rpc/worker/core_worker_client.h index 9feed73ce6cc..2eecff43063b 100644 --- a/src/mock/ray/rpc/worker/core_worker_client.h +++ b/src/mock/ray/rpc/worker/core_worker_client.h @@ -152,7 +152,7 @@ class MockCoreWorkerClientInterface : public CoreWorkerClientInterface { (override)); MOCK_METHOD(void, FreeActorObject, - (const FreeActorObjectRequest &request, + (FreeActorObjectRequest && request, const ClientCallback &callback), (override)); MOCK_METHOD(std::string, DebugString, (), (const, override)); diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index e5aff280b361..6ee2a1d8205d 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -318,10 +318,13 @@ std::vector TaskManager::AddPendingTask( rpc::FreeActorObjectRequest request; request.set_object_id(object_id.Binary()); rpc_client.value()->FreeActorObject( - request, + std::move(request), [object_id, actor_id](const Status &status, const rpc::FreeActorObjectReply &reply) { - if (!status.ok()) { + if (status.IsDisconnected()) { + RAY_LOG(DEBUG).WithField(object_id).WithField(actor_id) + << "FreeActorObject failed because actor worker is dead"; + } else if (!status.ok()) { RAY_LOG(ERROR).WithField(object_id).WithField(actor_id) << "Failed to free actor object: " << status; } diff --git a/src/ray/core_worker_rpc_client/core_worker_client.h b/src/ray/core_worker_rpc_client/core_worker_client.h index 3eaf8a71937e..3debea4ab20f 100644 --- a/src/ray/core_worker_rpc_client/core_worker_client.h +++ b/src/ray/core_worker_rpc_client/core_worker_client.h @@ -193,11 +193,12 @@ class CoreWorkerClient : public std::enable_shared_from_this, /*method_timeout_ms*/ -1, override) - VOID_RPC_CLIENT_METHOD(CoreWorkerService, - FreeActorObject, - grpc_client_, - /*method_timeout_ms*/ -1, - override) + VOID_RETRYABLE_RPC_CLIENT_METHOD(retryable_grpc_client_, + CoreWorkerService, + FreeActorObject, + grpc_client_, + /*method_timeout_ms*/ -1, + override) void PushActorTask(std::unique_ptr request, bool skip_queue, diff --git a/src/ray/core_worker_rpc_client/core_worker_client_interface.h b/src/ray/core_worker_rpc_client/core_worker_client_interface.h index 92b7e7c00ff5..8f5e11b9d718 100644 --- a/src/ray/core_worker_rpc_client/core_worker_client_interface.h +++ b/src/ray/core_worker_rpc_client/core_worker_client_interface.h @@ -120,7 +120,7 @@ class CoreWorkerClientInterface : public pubsub::SubscriberClientInterface { const AssignObjectOwnerRequest &request, const ClientCallback &callback) = 0; - virtual void FreeActorObject(const FreeActorObjectRequest &request, + virtual void FreeActorObject(FreeActorObjectRequest &&request, const ClientCallback &callback) = 0; virtual std::string DebugString() const = 0; diff --git a/src/ray/core_worker_rpc_client/fake_core_worker_client.h b/src/ray/core_worker_rpc_client/fake_core_worker_client.h index 8d30a9b03777..73060b11965b 100644 --- a/src/ray/core_worker_rpc_client/fake_core_worker_client.h +++ b/src/ray/core_worker_rpc_client/fake_core_worker_client.h @@ -123,7 +123,7 @@ class FakeCoreWorkerClient : public CoreWorkerClientInterface { const AssignObjectOwnerRequest &request, const ClientCallback &callback) override {} - void FreeActorObject(const FreeActorObjectRequest &request, + void FreeActorObject(FreeActorObjectRequest &&request, const ClientCallback &callback) override {} // SubscriberClientInterface methods diff --git a/src/ray/protobuf/core_worker.proto b/src/ray/protobuf/core_worker.proto index dcfdd3e5a96b..e6517fd63f40 100644 --- a/src/ray/protobuf/core_worker.proto +++ b/src/ray/protobuf/core_worker.proto @@ -587,6 +587,7 @@ service CoreWorkerService { rpc NumPendingTasks(NumPendingTasksRequest) returns (NumPendingTasksReply); // Free GPU object from in-actor GPU object store. + // Failure: Retries and is idempotent. rpc FreeActorObject(FreeActorObjectRequest) returns (FreeActorObjectReply); // Registers a mutable object reader for compiled graphs. From 4e86ecdd8f94dbe500ce9b31aca2478480e9939e Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 24 Sep 2025 06:25:35 -0700 Subject: [PATCH 1373/1566] [core] Deflake test_reference_counting.py::test_recursive_serialized_reference (#56870) In test_reference_count.py::test_recursive_serialized_reference[False-True] and [True-True], #56436 caused these tests to break on windows and on mainline for mac these tests are already very flaky. After taking a look, it looks like there's a race between when the worker is killed and the reference count for array_oid decrements to 0 vs when the second call to _fill_object_store_and_get is triggered that bumps the reference count up by 1. If the bump happens before the decrement, the worker_eviction message never gets published to the raylet and the test hangs. An easy fix is simply to remove the second _fill_object_store_and_get because when the reference count hits 0 the worker publishes a message to the raylet that explicilty deletes the primary copy in plasma. We don't need memory pressure for this. The reason #56436 made the test flakier is that it spends another, idk a couple milliseconds going through the retryable grpc loop where instead of immediately calling the failure callback it gets queued for retry, immediately pulled out (since the timeouts are 0), unavailable timeout is called, then the failure callback is invoked. These extra steps were enough to make the increment happen before the decrement on windows Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_reference_counting.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/python/ray/tests/test_reference_counting.py b/python/ray/tests/test_reference_counting.py index fb29d20f7930..372dbf368a17 100644 --- a/python/ray/tests/test_reference_counting.py +++ b/python/ray/tests/test_reference_counting.py @@ -313,7 +313,13 @@ def recursive(ref, signal, max_depth, depth=0): ray.get(signal.send.remote()) # Reference should be gone, check that array gets evicted. - _fill_object_store_and_get(array_oid_bytes, succeed=False) + def check_is_evicted(): + object_ref = ray.ObjectRef(array_oid_bytes) + return not ray._private.worker.global_worker.core_worker.object_exists( + object_ref + ) + + wait_for_condition(check_is_evicted, timeout=30) # Test that a passed reference held by an actor after the method finishes From 968643f935216486640993ea88b48b4596d0158f Mon Sep 17 00:00:00 2001 From: Mao Yancan Date: Wed, 24 Sep 2025 21:29:46 +0800 Subject: [PATCH 1374/1566] Add node ip in runtime env error message to improve debug observability (#56837) In multi-node Ray clusters, each node runs a Runtime Env Agent. When setup errors occur, agents report error messages back to the driver. Current error messages do not specify which node failed, making debugging in production clusters difficult. ### Solution: Retrieve node IP from the local context in RuntimeEnvAgent. Prefix all error messages with the node IP. (Fallback to [Node unknown] if IP detection fails.) Message format example: ``` [Node 192.168.1.100] Failed to create runtime env: [Node unknown] Failed to create runtime env: # fallback ``` ### Benefits - Easier debugging of RuntimeEnv failures in distributed environments - Improved operational visibility for large Ray clusters - No breaking changes to APIs or user-facing configurations --------- Signed-off-by: Mao Yancan Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../runtime_env/agent/runtime_env_agent.py | 34 ++++++++++++++----- python/ray/tests/test_runtime_env.py | 27 +++++++++++++++ 2 files changed, 52 insertions(+), 9 deletions(-) diff --git a/python/ray/_private/runtime_env/agent/runtime_env_agent.py b/python/ray/_private/runtime_env/agent/runtime_env_agent.py index 2e6e4c7204a7..0ae62bfacdb9 100644 --- a/python/ray/_private/runtime_env/agent/runtime_env_agent.py +++ b/python/ray/_private/runtime_env/agent/runtime_env_agent.py @@ -7,6 +7,7 @@ from dataclasses import dataclass from typing import Callable, Dict, List, Set, Tuple +import ray import ray._private.runtime_env.agent.runtime_env_consts as runtime_env_consts from ray._common.utils import get_or_create_event_loop from ray._private.ray_constants import ( @@ -253,6 +254,13 @@ def __init__( "Listening to address %s, port %d", address, runtime_env_agent_port ) + try: + self._node_ip = ray.util.get_node_ip_address() + self._node_prefix = f"[Node {self._node_ip}] " + except Exception as e: + self._logger.warning(f"Failed to get node IP address, using fallback: {e}") + self._node_prefix = "[Node unknown] " + def uris_parser(self, runtime_env: RuntimeEnv): result = list() for name, plugin_setup_context in self._plugin_manager.plugins.items(): @@ -434,11 +442,14 @@ async def _create_runtime_env_with_retry( self._logger.exception( "[Increase] Failed to parse runtime env: " f"{serialized_env}" ) + + error_message = "".join( + traceback.format_exception(type(e), e, e.__traceback__) + ) + return runtime_env_agent_pb2.GetOrCreateRuntimeEnvReply( status=runtime_env_agent_pb2.AGENT_RPC_STATUS_FAILED, - error_message="".join( - traceback.format_exception(type(e), e, e.__traceback__) - ), + error_message=f"{self._node_prefix}{error_message}", ) # Increase reference @@ -478,7 +489,7 @@ async def _create_runtime_env_with_retry( ) return runtime_env_agent_pb2.GetOrCreateRuntimeEnvReply( status=runtime_env_agent_pb2.AGENT_RPC_STATUS_FAILED, - error_message=error_message, + error_message=f"{self._node_prefix}{error_message}", ) if SLEEP_FOR_TESTING_S: @@ -523,7 +534,9 @@ async def _create_runtime_env_with_retry( if successful else runtime_env_agent_pb2.AGENT_RPC_STATUS_FAILED, serialized_runtime_env_context=serialized_context, - error_message=error_message, + error_message=f"{self._node_prefix}{error_message}" + if not successful + else "", ) async def DeleteRuntimeEnvIfPossible(self, request): @@ -540,11 +553,14 @@ async def DeleteRuntimeEnvIfPossible(self, request): "[Decrease] Failed to parse runtime env: " f"{request.serialized_runtime_env}" ) + + error_message = "".join( + traceback.format_exception(type(e), e, e.__traceback__) + ) + return runtime_env_agent_pb2.GetOrCreateRuntimeEnvReply( status=runtime_env_agent_pb2.AGENT_RPC_STATUS_FAILED, - error_message="".join( - traceback.format_exception(type(e), e, e.__traceback__) - ), + error_message=f"{self._node_prefix}{error_message}", ) try: @@ -554,7 +570,7 @@ async def DeleteRuntimeEnvIfPossible(self, request): except Exception as e: return runtime_env_agent_pb2.DeleteRuntimeEnvIfPossibleReply( status=runtime_env_agent_pb2.AGENT_RPC_STATUS_FAILED, - error_message=f"Fails to decrement reference for runtime env for {str(e)}", + error_message=f"{self._node_prefix}Failed to decrement reference for runtime env for {str(e)}", ) return runtime_env_agent_pb2.DeleteRuntimeEnvIfPossibleReply( diff --git a/python/ray/tests/test_runtime_env.py b/python/ray/tests/test_runtime_env.py index 5a189ea66f03..c56b63c044ff 100644 --- a/python/ray/tests/test_runtime_env.py +++ b/python/ray/tests/test_runtime_env.py @@ -4,11 +4,13 @@ put the test in `test_runtime_env_standalone.py`. """ import os +import re import sys import pytest import ray +from ray.exceptions import RuntimeEnvSetupError from ray.runtime_env import RuntimeEnv, RuntimeEnvConfig @@ -167,5 +169,30 @@ def run(runtime_env): run(runtime_env) +def test_runtime_env_error_includes_node_ip(shutdown_only): + """Test that RuntimeEnv errors include node IP information for debugging.""" + fast_timeout_config = {"setup_timeout_seconds": 1} + # Test with invalid pip package to trigger RuntimeEnvSetupError + @ray.remote( + runtime_env={ + "pip": ["nonexistent-package"], + "config": fast_timeout_config, + } + ) + def f(): + return "should not reach here" + + # Test pip package error + with pytest.raises(RuntimeEnvSetupError) as exception_info: + ray.get(f.remote()) + error_message = str(exception_info.value) + print(f"Pip error message: {error_message}") + # Check that error message contains node IP information + # The format should be like "[Node 192.168.1.100] ..." or "[Node unknown] ..." + assert re.search( + r"\[Node ((\d{1,3}\.){3}\d{1,3}|unknown)\] ", error_message + ), f"Error message should contain node IP or 'unknown' in proper format: {error_message}" + + if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From c18ad8b46b9e4e9ee5d79a2c907a8d63a06988a4 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Wed, 24 Sep 2025 09:20:02 -0700 Subject: [PATCH 1375/1566] [core][event] rename DriverJobExecutionEvent to DriverJobLifecycleEvent (#56809) As title, we will be renaming all `ExecutionEvent` to `LifecycleEvent`. In addition, we're also renaming `StateTimestamp` and `State` to `StateTransition`. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 2 +- .../aggregator/tests/test_aggregator_agent.py | 38 +++++++++++-------- .../aggregator/tests/test_ray_job_events.py | 2 +- src/ray/gcs/BUILD.bazel | 2 +- src/ray/gcs/gcs_job_manager.cc | 12 +++--- src/ray/gcs/gcs_job_manager.h | 2 +- .../gcs_job_manager_export_event_test.cc | 2 +- src/ray/observability/BUILD.bazel | 8 ++-- ...t.cc => ray_driver_job_lifecycle_event.cc} | 34 ++++++++--------- ...ent.h => ray_driver_job_lifecycle_event.h} | 12 +++--- src/ray/observability/tests/BUILD.bazel | 8 ++-- ...=> ray_driver_job_lifecycle_event_test.cc} | 24 ++++++------ .../tests/ray_event_recorder_test.cc | 14 +++---- src/ray/protobuf/public/BUILD.bazel | 10 ++--- .../protobuf/public/events_base_event.proto | 6 +-- .../events_driver_job_definition_event.proto | 2 +- ...> events_driver_job_lifecycle_event.proto} | 9 +++-- 17 files changed, 98 insertions(+), 89 deletions(-) rename src/ray/observability/{ray_driver_job_execution_event.cc => ray_driver_job_lifecycle_event.cc} (50%) rename src/ray/observability/{ray_driver_job_execution_event.h => ray_driver_job_lifecycle_event.h} (71%) rename src/ray/observability/tests/{ray_driver_job_execution_event_test.cc => ray_driver_job_lifecycle_event_test.cc} (52%) rename src/ray/protobuf/public/{events_driver_job_execution_event.proto => events_driver_job_lifecycle_event.proto} (76%) diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index f536a3accb6f..e5300d30a517 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -81,7 +81,7 @@ DEFAULT_EXPOSABLE_EVENT_TYPES = ( "TASK_DEFINITION_EVENT,TASK_EXECUTION_EVENT," "ACTOR_TASK_DEFINITION_EVENT,ACTOR_TASK_EXECUTION_EVENT," - "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT," + "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_LIFECYCLE_EVENT," "ACTOR_DEFINITION_EVENT,ACTOR_LIFECYCLE_EVENT," "NODE_DEFINITION_EVENT,NODE_LIFECYCLE_EVENT," ) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 7adba7ac7275..49de7042ca75 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -27,8 +27,8 @@ from ray.core.generated.events_driver_job_definition_event_pb2 import ( DriverJobDefinitionEvent, ) -from ray.core.generated.events_driver_job_execution_event_pb2 import ( - DriverJobExecutionEvent, +from ray.core.generated.events_driver_job_lifecycle_event_pb2 import ( + DriverJobLifecycleEvent, ) from ray.core.generated.events_event_aggregator_service_pb2 import ( AddEventsRequest, @@ -775,7 +775,7 @@ def test_aggregator_agent_receive_driver_job_definition_event( @_with_aggregator_port -def test_aggregator_agent_receive_driver_job_execution_event( +def test_aggregator_agent_receive_driver_job_lifecycle_event( ray_start_cluster_head_with_env_vars, httpserver ): cluster = ray_start_cluster_head_with_env_vars @@ -792,19 +792,19 @@ def test_aggregator_agent_receive_driver_job_execution_event( RayEvent( event_id=b"1", source_type=RayEvent.SourceType.CORE_WORKER, - event_type=RayEvent.EventType.DRIVER_JOB_EXECUTION_EVENT, + event_type=RayEvent.EventType.DRIVER_JOB_LIFECYCLE_EVENT, timestamp=timestamp, severity=RayEvent.Severity.INFO, - message="driver job execution event", - driver_job_execution_event=DriverJobExecutionEvent( + message="driver job lifecycle event", + driver_job_lifecycle_event=DriverJobLifecycleEvent( job_id=b"1", - states=[ - DriverJobExecutionEvent.StateTimestamp( - state=DriverJobExecutionEvent.State.CREATED, + state_transitions=[ + DriverJobLifecycleEvent.StateTransition( + state=DriverJobLifecycleEvent.State.CREATED, timestamp=Timestamp(seconds=1234567890), ), - DriverJobExecutionEvent.StateTimestamp( - state=DriverJobExecutionEvent.State.FINISHED, + DriverJobLifecycleEvent.StateTransition( + state=DriverJobLifecycleEvent.State.FINISHED, timestamp=Timestamp(seconds=1234567890), ), ], @@ -820,14 +820,20 @@ def test_aggregator_agent_receive_driver_job_execution_event( wait_for_condition(lambda: len(httpserver.log) == 1) req, _ = httpserver.log[0] req_json = json.loads(req.data) - assert req_json[0]["message"] == "driver job execution event" + assert req_json[0]["message"] == "driver job lifecycle event" assert ( - req_json[0]["driverJobExecutionEvent"]["jobId"] + req_json[0]["driverJobLifecycleEvent"]["jobId"] == base64.b64encode(b"1").decode() ) - assert len(req_json[0]["driverJobExecutionEvent"]["states"]) == 2 - assert req_json[0]["driverJobExecutionEvent"]["states"][0]["state"] == "CREATED" - assert req_json[0]["driverJobExecutionEvent"]["states"][1]["state"] == "FINISHED" + assert len(req_json[0]["driverJobLifecycleEvent"]["stateTransitions"]) == 2 + assert ( + req_json[0]["driverJobLifecycleEvent"]["stateTransitions"][0]["state"] + == "CREATED" + ) + assert ( + req_json[0]["driverJobLifecycleEvent"]["stateTransitions"][1]["state"] + == "FINISHED" + ) if __name__ == "__main__": diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py index b5b10213e283..f8f84dc65e7c 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_job_events.py @@ -24,7 +24,7 @@ def test_ray_job_events(ray_start_cluster, httpserver): cluster.add_node( env_vars={ "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": f"http://127.0.0.1:{_RAY_EVENT_PORT}", - "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_EXECUTION_EVENT", + "RAY_DASHBOARD_AGGREGATOR_AGENT_EXPOSABLE_EVENT_TYPES": "DRIVER_JOB_DEFINITION_EVENT,DRIVER_JOB_LIFECYCLE_EVENT", }, _system_config={ "enable_ray_event": True, diff --git a/src/ray/gcs/BUILD.bazel b/src/ray/gcs/BUILD.bazel index d8758786cecf..5d2d96dd21f9 100644 --- a/src/ray/gcs/BUILD.bazel +++ b/src/ray/gcs/BUILD.bazel @@ -255,7 +255,7 @@ ray_cc_library( "//src/ray/common:runtime_env", "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/observability:ray_driver_job_definition_event", - "//src/ray/observability:ray_driver_job_execution_event", + "//src/ray/observability:ray_driver_job_lifecycle_event", "//src/ray/observability:ray_event_recorder_interface", "//src/ray/pubsub:gcs_publisher", "//src/ray/stats:stats_metric", diff --git a/src/ray/gcs/gcs_job_manager.cc b/src/ray/gcs/gcs_job_manager.cc index a2eee9004c80..321021c8a2ba 100644 --- a/src/ray/gcs/gcs_job_manager.cc +++ b/src/ray/gcs/gcs_job_manager.cc @@ -24,7 +24,7 @@ #include "absl/strings/match.h" #include "ray/common/protobuf_utils.h" #include "ray/observability/ray_driver_job_definition_event.h" -#include "ray/observability/ray_driver_job_execution_event.h" +#include "ray/observability/ray_driver_job_lifecycle_event.h" #include "ray/stats/metric.h" #include "ray/util/time.h" @@ -45,7 +45,7 @@ void GcsJobManager::Initialize(const GcsInitData &gcs_init_data) { } void GcsJobManager::WriteDriverJobExportEvent( - rpc::JobTableData job_data, rpc::events::DriverJobExecutionEvent::State state) const { + rpc::JobTableData job_data, rpc::events::DriverJobLifecycleEvent::State state) const { /// Write job_data as a export driver job event if /// enable_export_api_write() is enabled and if this job is /// not in the _ray_internal_ namespace. @@ -56,12 +56,12 @@ void GcsJobManager::WriteDriverJobExportEvent( } if (RayConfig::instance().enable_ray_event()) { std::vector> events; - if (state == rpc::events::DriverJobExecutionEvent::CREATED) { + if (state == rpc::events::DriverJobLifecycleEvent::CREATED) { // Job definition event is emitted once when the job is created. events.push_back(std::make_unique( job_data, session_name_)); } - events.push_back(std::make_unique( + events.push_back(std::make_unique( job_data, state, session_name_)); ray_event_recorder_.AddEvents(std::move(events)); return; @@ -123,7 +123,7 @@ void GcsJobManager::HandleAddJob(rpc::AddJobRequest request, send_reply_callback = std::move(send_reply_callback)](const Status &status) mutable { WriteDriverJobExportEvent(job_table_data, - rpc::events::DriverJobExecutionEvent::CREATED); + rpc::events::DriverJobLifecycleEvent::CREATED); if (!status.ok()) { RAY_LOG(ERROR).WithField(job_id).WithField("driver_pid", job_table_data.driver_pid()) @@ -174,7 +174,7 @@ void GcsJobManager::MarkJobAsFinished(rpc::JobTableData job_table_data, } function_manager_.RemoveJobReference(job_id); WriteDriverJobExportEvent(job_table_data, - rpc::events::DriverJobExecutionEvent::FINISHED); + rpc::events::DriverJobLifecycleEvent::FINISHED); // Update running job status. // Note: This operation must be idempotent since MarkJobFinished can be called diff --git a/src/ray/gcs/gcs_job_manager.h b/src/ray/gcs/gcs_job_manager.h index 941089d47d0e..81eb78db2c7c 100644 --- a/src/ray/gcs/gcs_job_manager.h +++ b/src/ray/gcs/gcs_job_manager.h @@ -104,7 +104,7 @@ class GcsJobManager : public rpc::JobInfoGcsServiceHandler { void OnNodeDead(const NodeID &node_id); void WriteDriverJobExportEvent(rpc::JobTableData job_data, - rpc::events::DriverJobExecutionEvent::State state) const; + rpc::events::DriverJobLifecycleEvent::State state) const; // Verify if export events should be written for EXPORT_DRIVER_JOB source types bool IsExportAPIEnabledDriverJob() const { diff --git a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc index a53e6d21b250..d8866b86ab9e 100644 --- a/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc +++ b/src/ray/gcs/tests/export_api/gcs_job_manager_export_event_test.cc @@ -122,7 +122,7 @@ TEST_F(GcsJobManagerTest, TestRayEventDriverJobEvents) { ASSERT_EQ(buffer.size(), 2); ASSERT_EQ(buffer[0]->GetEventType(), rpc::events::RayEvent::DRIVER_JOB_DEFINITION_EVENT); - ASSERT_EQ(buffer[1]->GetEventType(), rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT); + ASSERT_EQ(buffer[1]->GetEventType(), rpc::events::RayEvent::DRIVER_JOB_LIFECYCLE_EVENT); } TEST_F(GcsJobManagerTest, TestExportDriverJobEvents) { diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index e9e4eae06a8e..5caf367d6ced 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -74,16 +74,16 @@ ray_cc_library( ) ray_cc_library( - name = "ray_driver_job_execution_event", + name = "ray_driver_job_lifecycle_event", srcs = [ - "ray_driver_job_execution_event.cc", + "ray_driver_job_lifecycle_event.cc", ], hdrs = [ - "ray_driver_job_execution_event.h", + "ray_driver_job_lifecycle_event.h", ], deps = [ ":ray_event", - "//src/ray/protobuf/public:events_driver_job_execution_event_cc_proto", + "//src/ray/protobuf/public:events_driver_job_lifecycle_event_cc_proto", ], ) diff --git a/src/ray/observability/ray_driver_job_execution_event.cc b/src/ray/observability/ray_driver_job_lifecycle_event.cc similarity index 50% rename from src/ray/observability/ray_driver_job_execution_event.cc rename to src/ray/observability/ray_driver_job_lifecycle_event.cc index fba7b274499a..72075f8aa115 100644 --- a/src/ray/observability/ray_driver_job_execution_event.cc +++ b/src/ray/observability/ray_driver_job_lifecycle_event.cc @@ -12,43 +12,43 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/observability/ray_driver_job_execution_event.h" +#include "ray/observability/ray_driver_job_lifecycle_event.h" namespace ray { namespace observability { -RayDriverJobExecutionEvent::RayDriverJobExecutionEvent( +RayDriverJobLifecycleEvent::RayDriverJobLifecycleEvent( const rpc::JobTableData &data, - rpc::events::DriverJobExecutionEvent::State state, + rpc::events::DriverJobLifecycleEvent::State state, const std::string &session_name) - : RayEvent( + : RayEvent( rpc::events::RayEvent::GCS, - rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT, + rpc::events::RayEvent::DRIVER_JOB_LIFECYCLE_EVENT, rpc::events::RayEvent::INFO, "", session_name) { - ray::rpc::events::DriverJobExecutionEvent::StateTimestamp state_timestamp; - state_timestamp.set_state(state); - state_timestamp.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( + ray::rpc::events::DriverJobLifecycleEvent::StateTransition state_transition; + state_transition.set_state(state); + state_transition.mutable_timestamp()->CopyFrom(AbslTimeNanosToProtoTimestamp( absl::ToInt64Nanoseconds(absl::Now() - absl::UnixEpoch()))); - data_.mutable_states()->Add(std::move(state_timestamp)); + data_.mutable_state_transitions()->Add(std::move(state_transition)); data_.set_job_id(data.job_id()); } -std::string RayDriverJobExecutionEvent::GetEntityId() const { return data_.job_id(); } +std::string RayDriverJobLifecycleEvent::GetEntityId() const { return data_.job_id(); } -void RayDriverJobExecutionEvent::MergeData( - RayEvent &&other) { - auto &&other_event = static_cast(other); - for (auto &state : *other_event.data_.mutable_states()) { - data_.mutable_states()->Add(std::move(state)); +void RayDriverJobLifecycleEvent::MergeData( + RayEvent &&other) { + auto &&other_event = static_cast(other); + for (auto &state_transition : *other_event.data_.mutable_state_transitions()) { + data_.mutable_state_transitions()->Add(std::move(state_transition)); } } -ray::rpc::events::RayEvent RayDriverJobExecutionEvent::SerializeData() && { +ray::rpc::events::RayEvent RayDriverJobLifecycleEvent::SerializeData() && { ray::rpc::events::RayEvent event; - event.mutable_driver_job_execution_event()->Swap(&data_); + event.mutable_driver_job_lifecycle_event()->Swap(&data_); return event; } diff --git a/src/ray/observability/ray_driver_job_execution_event.h b/src/ray/observability/ray_driver_job_lifecycle_event.h similarity index 71% rename from src/ray/observability/ray_driver_job_execution_event.h rename to src/ray/observability/ray_driver_job_lifecycle_event.h index fd3d34ffe078..aeeaf2dfd61e 100644 --- a/src/ray/observability/ray_driver_job_execution_event.h +++ b/src/ray/observability/ray_driver_job_lifecycle_event.h @@ -15,24 +15,24 @@ #include "ray/common/grpc_util.h" #include "ray/observability/ray_event.h" #include "src/ray/protobuf/gcs.pb.h" -#include "src/ray/protobuf/public/events_driver_job_execution_event.pb.h" +#include "src/ray/protobuf/public/events_driver_job_lifecycle_event.pb.h" namespace ray { namespace observability { -template class RayEvent; +template class RayEvent; -class RayDriverJobExecutionEvent : public RayEvent { +class RayDriverJobLifecycleEvent : public RayEvent { public: - RayDriverJobExecutionEvent(const rpc::JobTableData &data, - rpc::events::DriverJobExecutionEvent::State state, + RayDriverJobLifecycleEvent(const rpc::JobTableData &data, + rpc::events::DriverJobLifecycleEvent::State state, const std::string &session_name); std::string GetEntityId() const override; protected: ray::rpc::events::RayEvent SerializeData() && override; - void MergeData(RayEvent &&other) override; + void MergeData(RayEvent &&other) override; }; } // namespace observability diff --git a/src/ray/observability/tests/BUILD.bazel b/src/ray/observability/tests/BUILD.bazel index dd8f808eadd2..2fdd1006226f 100644 --- a/src/ray/observability/tests/BUILD.bazel +++ b/src/ray/observability/tests/BUILD.bazel @@ -21,19 +21,19 @@ ray_cc_test( "//src/ray/observability:ray_actor_definition_event", "//src/ray/observability:ray_actor_lifecycle_event", "//src/ray/observability:ray_driver_job_definition_event", - "//src/ray/observability:ray_driver_job_execution_event", + "//src/ray/observability:ray_driver_job_lifecycle_event", "//src/ray/observability:ray_event_recorder", "@com_google_googletest//:gtest_main", ], ) ray_cc_test( - name = "ray_driver_job_execution_event_test", + name = "ray_driver_job_lifecycle_event_test", size = "small", - srcs = ["ray_driver_job_execution_event_test.cc"], + srcs = ["ray_driver_job_lifecycle_event_test.cc"], tags = ["team:core"], deps = [ - "//src/ray/observability:ray_driver_job_execution_event", + "//src/ray/observability:ray_driver_job_lifecycle_event", "@com_google_googletest//:gtest_main", ], ) diff --git a/src/ray/observability/tests/ray_driver_job_execution_event_test.cc b/src/ray/observability/tests/ray_driver_job_lifecycle_event_test.cc similarity index 52% rename from src/ray/observability/tests/ray_driver_job_execution_event_test.cc rename to src/ray/observability/tests/ray_driver_job_lifecycle_event_test.cc index 1e6a26a0ea53..b2e455b83d17 100644 --- a/src/ray/observability/tests/ray_driver_job_execution_event_test.cc +++ b/src/ray/observability/tests/ray_driver_job_lifecycle_event_test.cc @@ -12,29 +12,29 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "ray/observability/ray_driver_job_execution_event.h" +#include "ray/observability/ray_driver_job_lifecycle_event.h" #include "gtest/gtest.h" namespace ray { namespace observability { -class RayDriverJobExecutionEventTest : public ::testing::Test {}; +class RayDriverJobLifecycleEventTest : public ::testing::Test {}; -TEST_F(RayDriverJobExecutionEventTest, TestMerge) { +TEST_F(RayDriverJobLifecycleEventTest, TestMerge) { rpc::JobTableData data; data.set_job_id("test_job_id_1"); - auto event1 = std::make_unique( - data, rpc::events::DriverJobExecutionEvent::CREATED, "test_session_name_1"); - auto event2 = std::make_unique( - data, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name_1"); + auto event1 = std::make_unique( + data, rpc::events::DriverJobLifecycleEvent::CREATED, "test_session_name_1"); + auto event2 = std::make_unique( + data, rpc::events::DriverJobLifecycleEvent::FINISHED, "test_session_name_1"); event1->Merge(std::move(*event2)); auto serialized_event = std::move(*event1).Serialize(); - ASSERT_EQ(serialized_event.driver_job_execution_event().states_size(), 2); - ASSERT_EQ(serialized_event.driver_job_execution_event().states(0).state(), - rpc::events::DriverJobExecutionEvent::CREATED); - ASSERT_EQ(serialized_event.driver_job_execution_event().states(1).state(), - rpc::events::DriverJobExecutionEvent::FINISHED); + ASSERT_EQ(serialized_event.driver_job_lifecycle_event().state_transitions_size(), 2); + ASSERT_EQ(serialized_event.driver_job_lifecycle_event().state_transitions(0).state(), + rpc::events::DriverJobLifecycleEvent::CREATED); + ASSERT_EQ(serialized_event.driver_job_lifecycle_event().state_transitions(1).state(), + rpc::events::DriverJobLifecycleEvent::FINISHED); } } // namespace observability diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 104af24faeb1..1d843e4deb8a 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -27,10 +27,10 @@ #include "ray/observability/ray_actor_definition_event.h" #include "ray/observability/ray_actor_lifecycle_event.h" #include "ray/observability/ray_driver_job_definition_event.h" -#include "ray/observability/ray_driver_job_execution_event.h" +#include "ray/observability/ray_driver_job_lifecycle_event.h" #include "src/ray/protobuf/gcs.pb.h" #include "src/ray/protobuf/public/events_base_event.pb.h" -#include "src/ray/protobuf/public/events_driver_job_execution_event.pb.h" +#include "src/ray/protobuf/public/events_driver_job_lifecycle_event.pb.h" namespace ray { namespace observability { @@ -116,8 +116,8 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { std::vector> events; events.push_back( std::make_unique(data1, "test_session_name_1")); - events.push_back(std::make_unique( - data2, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name_2")); + events.push_back(std::make_unique( + data2, rpc::events::DriverJobLifecycleEvent::FINISHED, "test_session_name_2")); events.push_back( std::make_unique(actor_def_data, "test_session_name_3")); events.push_back(std::make_unique( @@ -140,10 +140,10 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { ASSERT_EQ(recorded_events[1].source_type(), rpc::events::RayEvent::GCS); ASSERT_EQ(recorded_events[1].session_name(), "test_session_name_2"); ASSERT_EQ(recorded_events[1].event_type(), - rpc::events::RayEvent::DRIVER_JOB_EXECUTION_EVENT); + rpc::events::RayEvent::DRIVER_JOB_LIFECYCLE_EVENT); ASSERT_EQ(recorded_events[1].severity(), rpc::events::RayEvent::INFO); - ASSERT_TRUE(recorded_events[1].has_driver_job_execution_event()); - ASSERT_EQ(recorded_events[1].driver_job_execution_event().job_id(), "test_job_id_2"); + ASSERT_TRUE(recorded_events[1].has_driver_job_lifecycle_event()); + ASSERT_EQ(recorded_events[1].driver_job_lifecycle_event().job_id(), "test_job_id_2"); // Verify third event (actor definition) ASSERT_EQ(recorded_events[2].source_type(), rpc::events::RayEvent::GCS); diff --git a/src/ray/protobuf/public/BUILD.bazel b/src/ray/protobuf/public/BUILD.bazel index 4367d3043eae..d64abf8b0029 100644 --- a/src/ray/protobuf/public/BUILD.bazel +++ b/src/ray/protobuf/public/BUILD.bazel @@ -11,7 +11,7 @@ proto_library( ":events_actor_lifecycle_event_proto", ":events_actor_task_definition_event_proto", ":events_driver_job_definition_event_proto", - ":events_driver_job_execution_event_proto", + ":events_driver_job_lifecycle_event_proto", ":events_node_definition_event_proto", ":events_node_lifecycle_event_proto", ":events_task_definition_event_proto", @@ -84,16 +84,16 @@ cc_proto_library( ) proto_library( - name = "events_driver_job_execution_event_proto", - srcs = ["events_driver_job_execution_event.proto"], + name = "events_driver_job_lifecycle_event_proto", + srcs = ["events_driver_job_lifecycle_event.proto"], deps = [ "@com_google_protobuf//:timestamp_proto", ], ) cc_proto_library( - name = "events_driver_job_execution_event_cc_proto", - deps = [":events_driver_job_execution_event_proto"], + name = "events_driver_job_lifecycle_event_cc_proto", + deps = [":events_driver_job_lifecycle_event_proto"], ) proto_library( diff --git a/src/ray/protobuf/public/events_base_event.proto b/src/ray/protobuf/public/events_base_event.proto index 5adbf9757f62..0421234d9b63 100644 --- a/src/ray/protobuf/public/events_base_event.proto +++ b/src/ray/protobuf/public/events_base_event.proto @@ -22,7 +22,7 @@ import "src/ray/protobuf/public/events_actor_task_definition_event.proto"; import "src/ray/protobuf/public/events_task_definition_event.proto"; import "src/ray/protobuf/public/events_task_execution_event.proto"; import "src/ray/protobuf/public/events_driver_job_definition_event.proto"; -import "src/ray/protobuf/public/events_driver_job_execution_event.proto"; +import "src/ray/protobuf/public/events_driver_job_lifecycle_event.proto"; import "src/ray/protobuf/public/events_actor_definition_event.proto"; import "src/ray/protobuf/public/events_actor_lifecycle_event.proto"; import "src/ray/protobuf/public/events_node_definition_event.proto"; @@ -53,7 +53,7 @@ message RayEvent { ACTOR_TASK_DEFINITION_EVENT = 3; TASK_PROFILE_EVENT = 4; DRIVER_JOB_DEFINITION_EVENT = 5; - DRIVER_JOB_EXECUTION_EVENT = 6; + DRIVER_JOB_LIFECYCLE_EVENT = 6; NODE_DEFINITION_EVENT = 7; NODE_LIFECYCLE_EVENT = 8; ACTOR_DEFINITION_EVENT = 9; @@ -98,7 +98,7 @@ message RayEvent { ActorTaskDefinitionEvent actor_task_definition_event = 10; TaskProfileEvents task_profile_events = 11; DriverJobDefinitionEvent driver_job_definition_event = 12; - DriverJobExecutionEvent driver_job_execution_event = 13; + DriverJobLifecycleEvent driver_job_lifecycle_event = 13; NodeDefinitionEvent node_definition_event = 14; NodeLifecycleEvent node_lifecycle_event = 15; ActorDefinitionEvent actor_definition_event = 16; diff --git a/src/ray/protobuf/public/events_driver_job_definition_event.proto b/src/ray/protobuf/public/events_driver_job_definition_event.proto index 61af1397f5d5..11e538513a69 100644 --- a/src/ray/protobuf/public/events_driver_job_definition_event.proto +++ b/src/ray/protobuf/public/events_driver_job_definition_event.proto @@ -20,7 +20,7 @@ package ray.rpc.events; // Message containing the definition information of a driver job. // The message is expected to be emitted once per job creation. // -// For runtime information associated with this event, see DriverJobExecutionEvent. +// For runtime information associated with this event, see DriverJobLifecycleEvent. message DriverJobDefinitionEvent { message Config { string serialized_runtime_env = 1; diff --git a/src/ray/protobuf/public/events_driver_job_execution_event.proto b/src/ray/protobuf/public/events_driver_job_lifecycle_event.proto similarity index 76% rename from src/ray/protobuf/public/events_driver_job_execution_event.proto rename to src/ray/protobuf/public/events_driver_job_lifecycle_event.proto index 4c9dd611140c..434a8f73f36c 100644 --- a/src/ray/protobuf/public/events_driver_job_execution_event.proto +++ b/src/ray/protobuf/public/events_driver_job_lifecycle_event.proto @@ -23,18 +23,21 @@ package ray.rpc.events; // capture the full state transition history. // // For static information associated with this event, see DriverJobDefinitionEvent. -message DriverJobExecutionEvent { +message DriverJobLifecycleEvent { enum State { UNSPECIFIED = 0; CREATED = 1; FINISHED = 2; } - message StateTimestamp { + message StateTransition { State state = 1; google.protobuf.Timestamp timestamp = 2; } bytes job_id = 1; - repeated StateTimestamp states = 2; + // This records the state transitions within each export interval. The consumer should + // concatenate these intervals over the node’s lifetime to reconstruct the complete + // state transition time series. + repeated StateTransition state_transitions = 2; } From a5dc30a6f6c7f789a47f0c8046c6cde8998be936 Mon Sep 17 00:00:00 2001 From: Nikhil G Date: Wed, 24 Sep 2025 09:26:17 -0700 Subject: [PATCH 1376/1566] [data.LLM] fix doc test for Working with LLMs guide (#55917) Signed-off-by: Nikhil Ghosh Signed-off-by: Douglas Strodtman --- doc/BUILD.bazel | 26 +- .../working-with-llms/basic_llm_example.py | 200 +++++++++ .../working-with-llms/embedding_example.py | 63 +++ .../working-with-llms/openai_api_example.py | 99 +++++ .../doc_code/working-with-llms/vlm_example.py | 215 +++++++++ doc/source/data/working-with-llms.rst | 408 ++++++------------ 6 files changed, 726 insertions(+), 285 deletions(-) create mode 100644 doc/source/data/doc_code/working-with-llms/basic_llm_example.py create mode 100644 doc/source/data/doc_code/working-with-llms/embedding_example.py create mode 100644 doc/source/data/doc_code/working-with-llms/openai_api_example.py create mode 100644 doc/source/data/doc_code/working-with-llms/vlm_example.py diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index d23fd8382881..0f9ca0cfa53d 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -349,6 +349,30 @@ py_test_run_all_subdirectory( ], ) +# -------------------------------------------------------------------- +# Test all doc/source/data/doc_code/working-with-llms code included in rst/md files. +# -------------------------------------------------------------------- + +filegroup( + name = "data_llm_examples", + srcs = glob(["source/data/doc_code/working-with-llms/**/*.py"]), + visibility = ["//doc:__subpackages__"], +) + +# GPU Tests +py_test_run_all_subdirectory( + size = "large", + include = ["source/data/doc_code/working-with-llms/**/*.py"], + exclude = [], + extra_srcs = [], + tags = [ + "exclusive", + "gpu", + "team:data", + "team:llm" + ], +) + # -------------------------------------------------------------------- # Test all doc/source/tune/doc_code code included in rst/md files. # -------------------------------------------------------------------- @@ -545,8 +569,6 @@ doctest_each( # These tests run on GPU (see below). "source/data/batch_inference.rst", "source/data/transforming-data.rst", - # These tests are currently failing. - "source/data/working-with-llms.rst", # These don't contain code snippets. "source/data/api/**/*.rst", ], diff --git a/doc/source/data/doc_code/working-with-llms/basic_llm_example.py b/doc/source/data/doc_code/working-with-llms/basic_llm_example.py new file mode 100644 index 000000000000..f1f54d60fdb2 --- /dev/null +++ b/doc/source/data/doc_code/working-with-llms/basic_llm_example.py @@ -0,0 +1,200 @@ +""" +This file serves as a documentation example and CI test for basic LLM batch inference. + +""" + +# Dependency setup +import subprocess +import sys + +subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", "ray[llm]"]) +subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--upgrade", "transformers"] +) +subprocess.check_call([sys.executable, "-m", "pip", "install", "numpy==1.26.4"]) + + +# __basic_llm_example_start__ +import ray +from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor + +# __basic_config_example_start__ +# Basic vLLM configuration +config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "enable_chunked_prefill": True, + "max_num_batched_tokens": 4096, # Reduce if CUDA OOM occurs + "max_model_len": 16384, + }, + concurrency=1, + batch_size=64, +) +# __basic_config_example_end__ + +processor = build_llm_processor( + config, + preprocess=lambda row: dict( + messages=[ + {"role": "system", "content": "You are a bot that responds with haikus."}, + {"role": "user", "content": row["item"]}, + ], + sampling_params=dict( + temperature=0.3, + max_tokens=250, + ), + ), + postprocess=lambda row: dict( + answer=row["generated_text"], + **row, # This will return all the original columns in the dataset. + ), +) + +ds = ray.data.from_items(["Start of the haiku is: Complete this for me..."]) + +if __name__ == "__main__": + try: + import torch + + if torch.cuda.is_available(): + ds = processor(ds) + ds.show(limit=1) + else: + print("Skipping basic LLM run (no GPU available)") + except Exception as e: + print(f"Skipping basic LLM run due to environment error: {e}") + +# __hf_token_config_example_start__ +# Configuration with Hugging Face token +config_with_token = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + runtime_env={"env_vars": {"HF_TOKEN": "your_huggingface_token"}}, + concurrency=1, + batch_size=64, +) +# __hf_token_config_example_end__ + +# __parallel_config_example_start__ +# Model parallelism configuration for larger models +# tensor_parallel_size=2: Split model across 2 GPUs for tensor parallelism +# pipeline_parallel_size=2: Use 2 pipeline stages (total 4 GPUs needed) +# Total GPUs required = tensor_parallel_size * pipeline_parallel_size = 4 +config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "max_model_len": 16384, + "tensor_parallel_size": 2, + "pipeline_parallel_size": 2, + "enable_chunked_prefill": True, + "max_num_batched_tokens": 2048, + }, + concurrency=1, + batch_size=32, + accelerator_type="L4", +) +# __parallel_config_example_end__ + +# __runai_config_example_start__ +# RunAI streamer configuration for optimized model loading +# Note: Install vLLM with runai dependencies: pip install -U "vllm[runai]>=0.10.1" +config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "load_format": "runai_streamer", + "max_model_len": 16384, + }, + concurrency=1, + batch_size=64, +) +# __runai_config_example_end__ + +# __lora_config_example_start__ +# Multi-LoRA configuration +config = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "enable_lora": True, + "max_lora_rank": 32, + "max_loras": 1, + "max_model_len": 16384, + }, + concurrency=1, + batch_size=32, +) +# __lora_config_example_end__ + +# __s3_config_example_start__ +# S3 hosted model configuration +s3_config = vLLMEngineProcessorConfig( + model_source="s3://your-bucket/your-model-path/", + engine_kwargs={ + "load_format": "runai_streamer", + "max_model_len": 16384, + }, + concurrency=1, + batch_size=64, +) +# __s3_config_example_end__ + +# __gpu_memory_config_example_start__ +# GPU memory management configuration +# If you encounter CUDA out of memory errors, try these optimizations: +config_memory_optimized = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "max_model_len": 8192, + "max_num_batched_tokens": 2048, + "enable_chunked_prefill": True, + "gpu_memory_utilization": 0.85, + "block_size": 16, + }, + concurrency=1, + batch_size=16, +) + +# For very large models or limited GPU memory: +config_minimal_memory = vLLMEngineProcessorConfig( + model_source="unsloth/Llama-3.1-8B-Instruct", + engine_kwargs={ + "max_model_len": 4096, + "max_num_batched_tokens": 1024, + "enable_chunked_prefill": True, + "gpu_memory_utilization": 0.75, + }, + concurrency=1, + batch_size=8, +) +# __gpu_memory_config_example_end__ + +# __embedding_config_example_start__ +# Embedding model configuration +embedding_config = vLLMEngineProcessorConfig( + model_source="sentence-transformers/all-MiniLM-L6-v2", + task_type="embed", + engine_kwargs=dict( + enable_prefix_caching=False, + enable_chunked_prefill=False, + max_model_len=256, + enforce_eager=True, + ), + batch_size=32, + concurrency=1, + apply_chat_template=False, + detokenize=False, +) + +# Example usage for embeddings +def create_embedding_processor(): + return build_llm_processor( + embedding_config, + preprocess=lambda row: dict(prompt=row["text"]), + postprocess=lambda row: { + "text": row["prompt"], + "embedding": row["embeddings"], + }, + ) + + +# __embedding_config_example_end__ + +# __basic_llm_example_end__ diff --git a/doc/source/data/doc_code/working-with-llms/embedding_example.py b/doc/source/data/doc_code/working-with-llms/embedding_example.py new file mode 100644 index 000000000000..b1bf2e46b10a --- /dev/null +++ b/doc/source/data/doc_code/working-with-llms/embedding_example.py @@ -0,0 +1,63 @@ +""" +Documentation example and test for embedding model batch inference. + +""" + +import subprocess +import sys + +subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", "ray[llm]"]) +subprocess.check_call([sys.executable, "-m", "pip", "install", "numpy==1.26.4"]) + + +def run_embedding_example(): + # __embedding_example_start__ + import ray + from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor + + embedding_config = vLLMEngineProcessorConfig( + model_source="sentence-transformers/all-MiniLM-L6-v2", + task_type="embed", + engine_kwargs=dict( + enable_prefix_caching=False, + enable_chunked_prefill=False, + max_model_len=256, + enforce_eager=True, + ), + batch_size=32, + concurrency=1, + apply_chat_template=False, + detokenize=False, + ) + + embedding_processor = build_llm_processor( + embedding_config, + preprocess=lambda row: dict(prompt=row["text"]), + postprocess=lambda row: { + "text": row["prompt"], + "embedding": row["embeddings"], + }, + ) + + texts = [ + "Hello world", + "This is a test sentence", + "Embedding models convert text to vectors", + ] + ds = ray.data.from_items([{"text": text} for text in texts]) + + embedded_ds = embedding_processor(ds) + embedded_ds.show(limit=1) + # __embedding_example_end__ + + +if __name__ == "__main__": + try: + import torch + + if torch.cuda.is_available(): + run_embedding_example() + else: + print("Skipping embedding example (no GPU available)") + except Exception as e: + print(f"Skipping embedding example: {e}") diff --git a/doc/source/data/doc_code/working-with-llms/openai_api_example.py b/doc/source/data/doc_code/working-with-llms/openai_api_example.py new file mode 100644 index 000000000000..6c707984d79f --- /dev/null +++ b/doc/source/data/doc_code/working-with-llms/openai_api_example.py @@ -0,0 +1,99 @@ +""" +This file serves as a documentation example and CI test for OpenAI API batch inference. + +""" + +import os +from ray.data.llm import HttpRequestProcessorConfig, build_llm_processor + + +def run_openai_example(): + # __openai_example_start__ + import ray + + OPENAI_KEY = os.environ["OPENAI_API_KEY"] + ds = ray.data.from_items(["Hand me a haiku."]) + + config = HttpRequestProcessorConfig( + url="https://api.openai.com/v1/chat/completions", + headers={"Authorization": f"Bearer {OPENAI_KEY}"}, + qps=1, + ) + + processor = build_llm_processor( + config, + preprocess=lambda row: dict( + payload=dict( + model="gpt-4o-mini", + messages=[ + { + "role": "system", + "content": "You are a bot that responds with haikus.", + }, + {"role": "user", "content": row["item"]}, + ], + temperature=0.0, + max_tokens=150, + ), + ), + postprocess=lambda row: dict( + response=row["http_response"]["choices"][0]["message"]["content"] + ), + ) + + ds = processor(ds) + print(ds.take_all()) + # __openai_example_end__ + + +def run_openai_demo(): + """Run the OpenAI API configuration demo.""" + print("OpenAI API Configuration Demo") + print("=" * 30) + print("\nExample configuration:") + print("config = HttpRequestProcessorConfig(") + print(" url='https://api.openai.com/v1/chat/completions',") + print(" headers={'Authorization': f'Bearer {OPENAI_KEY}'},") + print(" qps=1,") + print(")") + print("\nThe processor handles:") + print("- Preprocessing: Convert text to OpenAI API format") + print("- HTTP requests: Send batched requests to OpenAI") + print("- Postprocessing: Extract response content") + + +def preprocess_for_openai(row): + """Preprocess function for OpenAI API requests.""" + return dict( + payload=dict( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": row["item"]}, + ], + temperature=0.0, + max_tokens=150, + ) + ) + + +def postprocess_openai_response(row): + """Postprocess function for OpenAI API responses.""" + return dict(response=row["http_response"]["choices"][0]["message"]["content"]) + + +if __name__ == "__main__": + # Run live call if API key is set; otherwise show demo with mock output + if "OPENAI_API_KEY" in os.environ: + run_openai_example() + else: + # Mock response without API key + print( + [ + { + "response": ( + "Autumn leaves whisper\nSoft code flows in quiet lines\nBugs fall one by one" + ) + } + ] + ) diff --git a/doc/source/data/doc_code/working-with-llms/vlm_example.py b/doc/source/data/doc_code/working-with-llms/vlm_example.py new file mode 100644 index 000000000000..cbfb3d2de4fa --- /dev/null +++ b/doc/source/data/doc_code/working-with-llms/vlm_example.py @@ -0,0 +1,215 @@ +""" +This file serves as a documentation example and CI test for VLM batch inference. + +Structure: +1. Infrastructure setup: Dataset compatibility patches, dependency handling +2. Docs example (between __vlm_example_start/end__): Embedded in Sphinx docs via literalinclude +3. Test validation and cleanup +""" + +import subprocess +import sys + +# Dependency setup +subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--upgrade", "transformers", "datasets"] +) +subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", "ray[llm]"]) +subprocess.check_call([sys.executable, "-m", "pip", "install", "numpy==1.26.4"]) + + +# __vlm_example_start__ +import ray +from PIL import Image +from io import BytesIO +from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor + +# Load "LMMs-Eval-Lite" dataset from Hugging Face +import datasets as datasets_lib + +vision_dataset_llms_lite = datasets_lib.load_dataset( + "lmms-lab/LMMs-Eval-Lite", "coco2017_cap_val" +) +vision_dataset = ray.data.from_huggingface(vision_dataset_llms_lite["lite"]) + +HF_TOKEN = "your-hf-token-here" # Replace with actual token if needed + +# __vlm_config_example_start__ +vision_processor_config = vLLMEngineProcessorConfig( + model_source="Qwen/Qwen2.5-VL-3B-Instruct", + engine_kwargs=dict( + tensor_parallel_size=1, + pipeline_parallel_size=1, + max_model_len=4096, + enable_chunked_prefill=True, + max_num_batched_tokens=2048, + ), + # Override Ray's runtime env to include the Hugging Face token. Ray Data uses Ray under the hood to orchestrate the inference pipeline. + runtime_env=dict( + env_vars=dict( + # HF_TOKEN=HF_TOKEN, # Token not needed for public models + VLLM_USE_V1="1", + ), + ), + batch_size=16, + accelerator_type="L4", + concurrency=1, + has_image=True, +) +# __vlm_config_example_end__ + + +def vision_preprocess(row: dict) -> dict: + """ + Preprocessing function for vision-language model inputs. + + Converts dataset rows into the format expected by the VLM: + - System prompt for analysis instructions + - User message with text and image content + - Multiple choice formatting + - Sampling parameters + """ + choice_indices = ["A", "B", "C", "D", "E", "F", "G", "H"] + + return { + "messages": [ + { + "role": "system", + "content": ( + "Analyze the image and question carefully, using step-by-step reasoning. " + "First, describe any image provided in detail. Then, present your reasoning. " + "And finally your final answer in this format: Final Answer: " + "where is: The single correct letter choice A, B, C, D, E, F, etc. when options are provided. " + "Only include the letter. Your direct answer if no options are given, as a single phrase or number. " + "IMPORTANT: Remember, to end your answer with Final Answer: ." + ), + }, + { + "role": "user", + "content": [ + {"type": "text", "text": row["question"] + "\n\n"}, + { + "type": "image", + # Ray Data accepts PIL Image or image URL + "image": Image.open(BytesIO(row["image"]["bytes"])), + }, + { + "type": "text", + "text": "\n\nChoices:\n" + + "\n".join( + [ + f"{choice_indices[i]}. {choice}" + for i, choice in enumerate(row["answer"]) + ] + ), + }, + ], + }, + ], + "sampling_params": { + "temperature": 0.3, + "max_tokens": 150, + "detokenize": False, + }, + # Include original data for reference + "original_data": { + "question": row["question"], + "answer_choices": row["answer"], + "image_size": row["image"].get("width", 0) if row["image"] else 0, + }, + } + + +def vision_postprocess(row: dict) -> dict: + return { + "resp": row["generated_text"], + } + + +vision_processor = build_llm_processor( + vision_processor_config, + preprocess=vision_preprocess, + postprocess=vision_postprocess, +) + + +def load_vision_dataset(): + """ + Load vision dataset from Hugging Face. + + This function loads the LMMs-Eval-Lite dataset which contains: + - Images with associated questions + - Multiple choice answers + - Various visual reasoning tasks + """ + try: + import datasets + + # Load "LMMs-Eval-Lite" dataset from Hugging Face + vision_dataset_llms_lite = datasets.load_dataset( + "lmms-lab/LMMs-Eval-Lite", "coco2017_cap_val" + ) + vision_dataset = ray.data.from_huggingface(vision_dataset_llms_lite["lite"]) + + return vision_dataset + except ImportError: + print( + "datasets package not available. Install with: pip install datasets>=4.0.0" + ) + return None + except Exception as e: + print(f"Error loading dataset: {e}") + return None + + +def create_vlm_config(): + """Create VLM configuration.""" + return vLLMEngineProcessorConfig( + model_source="Qwen/Qwen2.5-VL-3B-Instruct", + engine_kwargs=dict( + tensor_parallel_size=1, + pipeline_parallel_size=1, + max_model_len=4096, + trust_remote_code=True, + limit_mm_per_prompt={"image": 1}, + ), + runtime_env={ + # "env_vars": {"HF_TOKEN": "your-hf-token-here"} # Token not needed for public models + }, + batch_size=1, + accelerator_type="L4", + concurrency=1, + has_image=True, + ) + + +def run_vlm_example(): + """Run the complete VLM example workflow.""" + config = create_vlm_config() + vision_dataset = load_vision_dataset() + + if vision_dataset: + # Build processor with preprocessing + processor = build_llm_processor(config, preprocess=vision_preprocess) + + print("VLM processor configured successfully") + print(f"Model: {config.model_source}") + print(f"Has image support: {config.has_image}") + result = processor(vision_dataset).take_all() + return config, processor, result + return None, None, None + + +# __vlm_example_end__ + +if __name__ == "__main__": + # Run the example VLM workflow only if GPU is available + try: + import torch + + if torch.cuda.is_available(): + run_vlm_example() + else: + print("Skipping VLM example run (no GPU available)") + except Exception as e: + print(f"Skipping VLM example run due to environment error: {e}") diff --git a/doc/source/data/working-with-llms.rst b/doc/source/data/working-with-llms.rst index cfd0c4bedf77..cfa6a5ef8019 100644 --- a/doc/source/data/working-with-llms.rst +++ b/doc/source/data/working-with-llms.rst @@ -23,83 +23,50 @@ logic for performing batch inference with LLMs on a Ray Data dataset. You can use the :func:`build_llm_processor ` API to construct a processor. The following example uses the :class:`vLLMEngineProcessorConfig ` to construct a processor for the `unsloth/Llama-3.1-8B-Instruct` model. -To run this example, install vLLM, which is a popular and optimized LLM inference engine. +To start, install Ray Data + LLMs. This also installs vLLM, which is a popular and optimized LLM inference engine. -.. testcode:: +.. code-block:: bash - # Later versions *should* work but are not tested yet. - pip install -U vllm==0.7.2 + pip install -U "ray[data, llm]>=2.49.1" The :class:`vLLMEngineProcessorConfig ` is a configuration object for the vLLM engine. It contains the model name, the number of GPUs to use, and the number of shards to use, along with other vLLM engine configurations. Upon execution, the Processor object instantiates replicas of the vLLM engine (using :meth:`map_batches ` under the hood). -.. testcode:: - - import ray - from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor - - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - engine_kwargs={ - "enable_chunked_prefill": True, - "max_num_batched_tokens": 4096, - "max_model_len": 16384, - }, - concurrency=1, - batch_size=64, - ) - processor = build_llm_processor( - config, - preprocess=lambda row: dict( - messages=[ - {"role": "system", "content": "You are a bot that responds with haikus."}, - {"role": "user", "content": row["item"]} - ], - sampling_params=dict( - temperature=0.3, - max_tokens=250, - ) - ), - postprocess=lambda row: dict( - answer=row["generated_text"], - **row # This will return all the original columns in the dataset. - ), - ) - - ds = ray.data.from_items(["Start of the haiku is: Complete this for me..."]) - - ds = processor(ds) - ds.show(limit=1) +.. .. literalinclude:: doc_code/working-with-llms/basic_llm_example.py +.. :language: python +.. :start-after: __basic_llm_example_start__ +.. :end-before: __basic_llm_example_end__ -.. testoutput:: - :options: +MOCK +Here's a simple configuration example: - {'answer': 'Snowflakes gently fall\nBlanketing the winter scene\nFrozen peaceful hush'} +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __basic_config_example_start__ + :end-before: __basic_config_example_end__ -Each processor requires specific input columns. You can find more info by using the following API: +The configuration includes detailed comments explaining: -.. testcode:: +- **`concurrency`**: Number of vLLM engine replicas (typically 1 per node) +- **`batch_size`**: Number of samples processed per batch (reduce if GPU memory is limited) +- **`max_num_batched_tokens`**: Maximum tokens processed simultaneously (reduce if CUDA OOM occurs) +- **`accelerator_type`**: Specify GPU type for optimal resource allocation - processor.log_input_column_names() +Each processor requires specific input columns based on the model and configuration. The vLLM processor expects input in OpenAI chat format with a 'messages' column. -.. testoutput:: - :options: +MOCK +This basic configuration pattern is used throughout this guide and includes helpful comments explaining key parameters. - The first stage of the processor is ChatTemplateStage. - Required input columns: - messages: A list of messages in OpenAI chat format. See https://platform.openai.com/docs/api-reference/chat/create for details. +This configuration creates a processor that expects: -Some models may require a Hugging Face token to be specified. You can specify the token in the `runtime_env` argument. +- **Input**: Dataset with 'messages' column (OpenAI chat format) +- **Output**: Dataset with 'generated_text' column containing model responses -.. testcode:: +Some models may require a Hugging Face token to be specified. You can specify the token in the `runtime_env` argument. - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - runtime_env={"env_vars": {"HF_TOKEN": "your_huggingface_token"}}, - concurrency=1, - batch_size=64, - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __hf_token_config_example_start__ + :end-before: __hf_token_config_example_end__ .. _vllm_llm: @@ -108,33 +75,12 @@ Configure vLLM for LLM inference Use the :class:`vLLMEngineProcessorConfig ` to configure the vLLM engine. -.. testcode:: - - from ray.data.llm import vLLMEngineProcessorConfig - - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - engine_kwargs={"max_model_len": 20000}, - concurrency=1, - batch_size=64, - ) - -For handling larger models, specify model parallelism. +For handling larger models, specify model parallelism: -.. testcode:: - - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - engine_kwargs={ - "max_model_len": 16384, - "tensor_parallel_size": 2, - "pipeline_parallel_size": 2, - "enable_chunked_prefill": True, - "max_num_batched_tokens": 2048, - }, - concurrency=1, - batch_size=64, - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __parallel_config_example_start__ + :end-before: __parallel_config_example_end__ The underlying :class:`Processor ` object instantiates replicas of the vLLM engine and automatically configure parallel workers to handle model parallelism (for tensor parallelism and pipeline parallelism, @@ -143,47 +89,26 @@ if specified). To optimize model loading, you can configure the `load_format` to `runai_streamer` or `tensorizer`. .. note:: - In this case, install vLLM with runai dependencies: `pip install -U "vllm[runai]==0.7.2"` - -.. testcode:: + In this case, install vLLM with runai dependencies: `pip install -U "vllm[runai]>=0.10.1"` - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - engine_kwargs={"load_format": "runai_streamer"}, - concurrency=1, - batch_size=64, - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __runai_config_example_start__ + :end-before: __runai_config_example_end__ If your model is hosted on AWS S3, you can specify the S3 path in the `model_source` argument, and specify `load_format="runai_streamer"` in the `engine_kwargs` argument. -.. testcode:: - - config = vLLMEngineProcessorConfig( - model_source="s3://your-bucket/your-model/", # Make sure adding the trailing slash! - engine_kwargs={"load_format": "runai_streamer"}, - runtime_env={"env_vars": { - "AWS_ACCESS_KEY_ID": "your_access_key_id", - "AWS_SECRET_ACCESS_KEY": "your_secret_access_key", - "AWS_REGION": "your_region", - }}, - concurrency=1, - batch_size=64, - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __s3_config_example_start__ + :end-before: __s3_config_example_end__ To do multi-LoRA batch inference, you need to set LoRA related parameters in `engine_kwargs`. See :doc:`the vLLM with LoRA example` for details. -.. testcode:: - - config = vLLMEngineProcessorConfig( - model_source="unsloth/Llama-3.1-8B-Instruct", - engine_kwargs={ - enable_lora=True, - max_lora_rank=32, - max_loras=1, - }, - concurrency=1, - batch_size=64, - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __lora_config_example_start__ + :end-before: __lora_config_example_end__ .. _vision_language_model: @@ -199,90 +124,43 @@ This example applies 2 adjustments on top of the previous example: - set `has_image=True` in `vLLMEngineProcessorConfig` - prepare image input inside preprocessor -.. testcode:: - - # Load "LMMs-Eval-Lite" dataset from Hugging Face. - vision_dataset_llms_lite = datasets.load_dataset("lmms-lab/LMMs-Eval-Lite", "coco2017_cap_val") - vision_dataset = ray.data.from_huggingface(vision_dataset_llms_lite["lite"]) - - vision_processor_config = vLLMEngineProcessorConfig( - model_source="Qwen/Qwen2.5-VL-3B-Instruct", - engine_kwargs=dict( - tensor_parallel_size=1, - pipeline_parallel_size=1, - max_model_len=4096, - enable_chunked_prefill=True, - max_num_batched_tokens=2048, - ), - # Override Ray's runtime env to include the Hugging Face token. Ray Data uses Ray under the hood to orchestrate the inference pipeline. - runtime_env=dict( - env_vars=dict( - HF_TOKEN=HF_TOKEN, - VLLM_USE_V1="1", - ), - ), - batch_size=16, - accelerator_type="L4", - concurrency=1, - has_image=True, - ) - - def vision_preprocess(row: dict) -> dict: - choice_indices = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'] - return dict( - messages=[ - { - "role": "system", - "content": """Analyze the image and question carefully, using step-by-step reasoning. - First, describe any image provided in detail. Then, present your reasoning. And finally your final answer in this format: - Final Answer: - where is: - - The single correct letter choice A, B, C, D, E, F, etc. when options are provided. Only include the letter. - - Your direct answer if no options are given, as a single phrase or number. - - If your answer is a number, only include the number without any unit. - - If your answer is a word or phrase, do not paraphrase or reformat the text you see in the image. - - You cannot answer that the question is unanswerable. You must either pick an option or provide a direct answer. - IMPORTANT: Remember, to end your answer with Final Answer: .""", - }, - { - "role": "user", - "content": [ - { - "type": "text", - "text": row["question"] + "\n\n" - }, - { - "type": "image", - # Ray Data accepts PIL Image or image URL. - "image": Image.open(BytesIO(row["image"]["bytes"])) - }, - { - "type": "text", - "text": "\n\nChoices:\n" + "\n".join([f"{choice_indices[i]}. {choice}" for i, choice in enumerate(row["answer"])]) - } - ] - }, - ], - sampling_params=dict( - temperature=0.3, - max_tokens=150, - detokenize=False, - ), - ) - - def vision_postprocess(row: dict) -> dict: - return { - "resp": row["generated_text"], - } - - vision_processor = build_llm_processor( - vision_processor_config, - preprocess=vision_preprocess, - postprocess=vision_postprocess, - ) - - vision_processed_ds = vision_processor(vision_dataset).materialize() - vision_processed_ds.show(3) +First, install the required dependencies: + +.. code-block:: bash + + # Install required dependencies for vision-language models + pip install datasets>=4.0.0 + +First, load a vision dataset: + +.. literalinclude:: doc_code/working-with-llms/vlm_example.py + :language: python + :start-after: def load_vision_dataset(): + :end-before: def create_vlm_config(): + :dedent: 0 + +Next, configure the VLM processor with the essential settings: + +.. literalinclude:: doc_code/working-with-llms/vlm_example.py + :language: python + :start-after: __vlm_config_example_start__ + :end-before: __vlm_config_example_end__ + +For a more comprehensive VLM configuration with advanced options: + +.. literalinclude:: doc_code/working-with-llms/vlm_example.py + :language: python + :start-after: def create_vlm_config(): + :end-before: def run_vlm_example(): + :dedent: 0 + +Finally, run the VLM inference: + +.. literalinclude:: doc_code/working-with-llms/vlm_example.py + :language: python + :start-after: def run_vlm_example(): + :end-before: # __vlm_example_end__ + :dedent: 0 .. _embedding_models: @@ -291,44 +169,10 @@ Batch inference with embedding models Ray Data LLM supports batch inference with embedding models using vLLM: -.. testcode:: - - import ray - from ray.data.llm import vLLMEngineProcessorConfig, build_llm_processor - - embedding_config = vLLMEngineProcessorConfig( - model_source="sentence-transformers/all-MiniLM-L6-v2", - task_type="embed", - engine_kwargs=dict( - enable_prefix_caching=False, - enable_chunked_prefill=False, - max_model_len=256, - enforce_eager=True, - ), - batch_size=32, - concurrency=1, - apply_chat_template=False, - detokenize=False, - ) - - embedding_processor = build_llm_processor( - embedding_config, - preprocess=lambda row: dict(prompt=row["text"]), - postprocess=lambda row: { - "text": row["prompt"], - "embedding": row["embeddings"], - }, - ) - - texts = [ - "Hello world", - "This is a test sentence", - "Embedding models convert text to vectors", - ] - ds = ray.data.from_items([{"text": text} for text in texts]) - - embedded_ds = embedding_processor(ds) - embedded_ds.show(limit=1) +.. literalinclude:: doc_code/working-with-llms/embedding_example.py + :language: python + :start-after: __embedding_example_start__ + :end-before: __embedding_example_end__ .. testoutput:: :options: +MOCK @@ -342,6 +186,13 @@ Key differences for embedding models: - Use direct ``prompt`` input instead of ``messages`` - Access embeddings through``row["embeddings"]`` +For a complete embedding configuration example, see: + +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __embedding_config_example_start__ + :end-before: __embedding_config_example_end__ + .. _openai_compatible_api_endpoint: Batch inference with an OpenAI-compatible endpoint @@ -349,40 +200,10 @@ Batch inference with an OpenAI-compatible endpoint You can also make calls to deployed models that have an OpenAI compatible API endpoint. -.. testcode:: - - import ray - import os - from ray.data.llm import HttpRequestProcessorConfig, build_llm_processor - - OPENAI_KEY = os.environ["OPENAI_API_KEY"] - ds = ray.data.from_items(["Hand me a haiku."]) - - - config = HttpRequestProcessorConfig( - url="https://api.openai.com/v1/chat/completions", - headers={"Authorization": f"Bearer {OPENAI_KEY}"}, - qps=1, - ) - - processor = build_llm_processor( - config, - preprocess=lambda row: dict( - payload=dict( - model="gpt-4o-mini", - messages=[ - {"role": "system", "content": "You are a bot that responds with haikus."}, - {"role": "user", "content": row["item"]} - ], - temperature=0.0, - max_tokens=150, - ), - ), - postprocess=lambda row: dict(response=row["http_response"]["choices"][0]["message"]["content"]), - ) - - ds = processor(ds) - print(ds.take_all()) +.. literalinclude:: doc_code/working-with-llms/openai_api_example.py + :language: python + :start-after: __openai_example_start__ + :end-before: __openai_example_end__ Usage Data Collection -------------------------- @@ -407,6 +228,7 @@ Frequently Asked Questions (FAQs) -------------------------------------------------- .. TODO(#55491): Rewrite this section once the restriction is lifted. +.. TODO(#55405): Cross-node TP in progress. .. _cross_node_parallelism: How to configure LLM stage to parallelize across multiple nodes? @@ -426,6 +248,28 @@ as long as each replica (TP * PP) fits into a single node. The number of replicas is configured by the `concurrency` argument in :class:`vLLMEngineProcessorConfig `. +.. _gpu_memory_management: + +GPU Memory Management and CUDA OOM Prevention +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +If you encounter CUDA out of memory errors, Ray Data LLM provides several configuration options to optimize GPU memory usage: + +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __gpu_memory_config_example_start__ + :end-before: __gpu_memory_config_example_end__ + +**Key strategies for handling GPU memory issues:** + +- **Reduce batch size**: Start with smaller batches (8-16) and increase gradually +- **Lower `max_num_batched_tokens`**: Reduce from 4096 to 2048 or 1024 +- **Decrease `max_model_len`**: Use shorter context lengths when possible +- **Set `gpu_memory_utilization`**: Use 0.75-0.85 instead of default 0.90 +- **Use smaller models**: Consider using smaller model variants for resource-constrained environments + +If you run into CUDA out of memory, your batch size is likely too large. Set an explicit small batch size or use a smaller model, or a larger GPU. + .. _model_cache: How to cache model weight to remote object storage @@ -437,7 +281,7 @@ storage (AWS S3 or Google Cloud Storage) for more stable model loading. Ray Data LLM provides the following utility to help uploading models to remote object storage. -.. testcode:: +.. code-block:: bash # Download model from HuggingFace, and upload to GCS python -m ray.llm.utils.upload_model \ @@ -450,9 +294,7 @@ Ray Data LLM provides the following utility to help uploading models to remote o And later you can use remote object store URI as `model_source` in the config. -.. testcode:: - - config = vLLMEngineProcessorConfig( - model_source="gs://my-bucket/path/to/facebook-opt-350m", # or s3://my-bucket/path/to/model_name - ... - ) +.. literalinclude:: doc_code/working-with-llms/basic_llm_example.py + :language: python + :start-after: __s3_config_example_start__ + :end-before: __s3_config_example_end__ From a4bdb923b33b6a0d42769a2dc9eae855793c307c Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 24 Sep 2025 10:23:17 -0700 Subject: [PATCH 1377/1566] [release] Rename custom byod build job (#56861) So it looks more readable... It's now in the format of `ecr repo - image variant (step_key) test_1 test_2` --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .../custom_byod_build_init_helper.py | 16 ++++++++++++++-- .../tests/test_custom_byod_build_init_helper.py | 17 +++++++++++++++++ 2 files changed, 31 insertions(+), 2 deletions(-) diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index afbc6abe2efb..cd0a66384680 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -53,9 +53,11 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: ) if not post_build_script: continue + step_key = generate_custom_build_step_key(image) + step_name = _get_step_name(image, step_key, tests) step = { - "label": f":tapioca: build custom: {image}", - "key": generate_custom_build_step_key(image), + "label": step_name, + "key": step_key, "instance_type": "release-medium", "commands": [ f"export RAY_WANT_COMMIT_IN_IMAGE={ray_want_commit}", @@ -84,3 +86,13 @@ def get_prerequisite_step(image: str) -> str: return config["release_image_step_ray_llm"] else: return config["release_image_step_ray"] + + +def _get_step_name(image: str, step_key: str, tests: List[Test]) -> str: + ecr, tag = image.split(":") + ecr_repo = ecr.split("/")[-1] + tag_without_build_id_and_custom_hash = tag.split("-")[1:-1] + step_name = f":tapioca: build custom: {ecr_repo}:{'-'.join(tag_without_build_id_and_custom_hash)} ({step_key})" + for test in tests[:2]: + step_name += f" {test.get_name()}" + return step_name diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py index a193c530e863..0119e7f24247 100644 --- a/release/ray_release/tests/test_custom_byod_build_init_helper.py +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -8,6 +8,7 @@ from ray_release.custom_byod_build_init_helper import ( create_custom_build_yaml, get_prerequisite_step, + _get_step_name, ) from ray_release.configs.global_config import init_global_config from ray_release.bazel import bazel_runfile @@ -97,5 +98,21 @@ def test_get_prerequisite_step(): ) +def test_get_step_name(): + tests = [ + Test(name="test_1"), + Test(name="test_2"), + Test(name="test_3"), + ] + assert ( + _get_step_name( + "ray-project/ray-ml:a1b2c3d4-py39-cpu-abcdef123456789abc123456789", + "abc123", + tests, + ) + == ":tapioca: build custom: ray-ml:py39-cpu (abc123) test_1 test_2" + ) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 3d16c652944c510b05ff5decd46d45e023ed07a6 Mon Sep 17 00:00:00 2001 From: Goutam Date: Wed, 24 Sep 2025 10:41:22 -0700 Subject: [PATCH 1378/1566] [Data] - make test_unify_schemas_nested_struct_tensors deterministic (#56817) ## Why are these changes needed? The arrow v9 tests run twice because `test_unify_schemas_nested_struct_tensors` is not deterministic. Use list for field types instead of set ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Goutam Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/arrow_ops/transform_pyarrow.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py index 662a86312fc4..87057c9542dc 100644 --- a/python/ray/data/_internal/arrow_ops/transform_pyarrow.py +++ b/python/ray/data/_internal/arrow_ops/transform_pyarrow.py @@ -175,7 +175,7 @@ def _reconcile_diverging_fields( from ray.air.util.object_extensions.arrow import ArrowPythonObjectType reconciled_fields = {} - field_types = defaultdict(set) # field_name -> set of types seen so far + field_types = defaultdict(list) # field_name -> list of types seen so far field_flags = defaultdict( lambda: defaultdict(bool) ) # field_name -> dict of boolean flags @@ -188,7 +188,8 @@ def _reconcile_diverging_fields( continue field_type = schema.field(field_name).type - field_types[field_name].add(field_type) + if field_type not in field_types[field_name]: + field_types[field_name].append(field_type) flags = field_flags[field_name] # Update flags From 81504cc77a757fa837e23aeecf9b34b94c0b5780 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 24 Sep 2025 12:10:35 -0700 Subject: [PATCH 1379/1566] [core] build dashboard with wanda (#56886) - will have caching enabled as a result - also builds in parallel with ray core binary bits - free to use a different build env image and upgrade npm now!! (if all places on CI uses this) Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 5 +++++ ci/docker/ray-core.Dockerfile | 8 +++----- ci/docker/ray-core.wanda.yaml | 4 ++-- ci/docker/ray-dashboard.Dockerfile | 30 ++++++++++++++++++++++++++++++ ci/docker/ray-dashboard.wanda.yaml | 5 +++++ 5 files changed, 45 insertions(+), 7 deletions(-) create mode 100644 ci/docker/ray-dashboard.Dockerfile create mode 100644 ci/docker/ray-dashboard.wanda.yaml diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 22e4c8dcbcdd..841e03386fe4 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -14,6 +14,11 @@ steps: ARCH_SUFFIX: "" depends_on: manylinux + - name: wanda_ray_dashboard + label: "wanda: dashboard" + wanda: ci/docker/ray-dashboard.wanda.yaml + depends_on: manylinux + - label: ":tapioca: build: wheel {{matrix}} (x86_64)" key: linux_wheels tags: diff --git a/ci/docker/ray-core.Dockerfile b/ci/docker/ray-core.Dockerfile index 535a3cbba3c3..9c1a38a3d35a 100644 --- a/ci/docker/ray-core.Dockerfile +++ b/ci/docker/ray-core.Dockerfile @@ -1,12 +1,10 @@ # syntax=docker/dockerfile:1.3-labs -FROM cr.ray.io/rayproject/manylinux as builder +FROM cr.ray.io/rayproject/manylinux AS builder ARG PYTHON_VERSION=3.9 ARG BUILDKITE_BAZEL_CACHE_URL ARG BUILDKITE_CACHE_READONLY -RUN mkdir /home/forge/ray - WORKDIR /home/forge/ray COPY . . @@ -30,10 +28,10 @@ fi bazelisk build --config=ci //:ray_pkg_zip -cp bazel-bin/ray_pkg.zip /ray_pkg.zip +cp bazel-bin/ray_pkg.zip /home/forge/ray_pkg.zip EOF FROM scratch -COPY --from=builder /ray_pkg.zip /ray_pkg.zip +COPY --from=builder /home/forge/ray_pkg.zip /ray_pkg.zip diff --git a/ci/docker/ray-core.wanda.yaml b/ci/docker/ray-core.wanda.yaml index 000802486d7a..c8560638fbd8 100644 --- a/ci/docker/ray-core.wanda.yaml +++ b/ci/docker/ray-core.wanda.yaml @@ -1,5 +1,6 @@ -name: "ray_core_py$PYTHON_VERSION$ARCH_SUFFIX" +name: "ray-core-py$PYTHON_VERSION$ARCH_SUFFIX" froms: ["cr.ray.io/rayproject/manylinux"] +dockerfile: ci/docker/ray-core.Dockerfile srcs: - .bazelversion - .bazelrc @@ -24,4 +25,3 @@ build_args: - BUILDKITE_BAZEL_CACHE_URL build_hint_args: - BUILDKITE_CACHE_READONLY -dockerfile: ci/docker/ray-core.Dockerfile diff --git a/ci/docker/ray-dashboard.Dockerfile b/ci/docker/ray-dashboard.Dockerfile new file mode 100644 index 000000000000..240e6a850b65 --- /dev/null +++ b/ci/docker/ray-dashboard.Dockerfile @@ -0,0 +1,30 @@ +FROM cr.ray.io/rayproject/manylinux AS builder + +WORKDIR /home/forge/ray + +COPY --chown=forge:users . . + +RUN < Date: Wed, 24 Sep 2025 12:21:13 -0700 Subject: [PATCH 1380/1566] [Data] - Add alias expression (#56550) ## Why are these changes needed? This change adds support for renaming resultant expressions via `alias()`. As a result of this change, we can eventually consolidate the Project operator to use only expressions instead of having to support `cols` and `cols_rename` in addition to expressions. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/_expression_evaluator.py | 5 ++ python/ray/data/_internal/arrow_block.py | 19 +++-- python/ray/data/_internal/pandas_block.py | 6 +- .../data/_internal/planner/plan_udf_map_op.py | 8 +- python/ray/data/expressions.py | 62 +++++++++++++- python/ray/data/tests/test_expressions.py | 55 ++++++++++++ python/ray/data/tests/test_map.py | 85 +++++++++++++++++++ 7 files changed, 226 insertions(+), 14 deletions(-) diff --git a/python/ray/data/_expression_evaluator.py b/python/ray/data/_expression_evaluator.py index 6e177e909fa6..506d3a523cbc 100644 --- a/python/ray/data/_expression_evaluator.py +++ b/python/ray/data/_expression_evaluator.py @@ -10,6 +10,7 @@ from ray.data.block import DataBatch from ray.data.expressions import ( + AliasExpr, BinaryExpr, ColumnExpr, Expr, @@ -165,6 +166,10 @@ def _eval_expr_recursive( return result + if isinstance(expr, AliasExpr): + # The renaming of the column is handled in the project op planner stage. + return _eval_expr_recursive(expr.expr, batch, ops) + raise TypeError(f"Unsupported expression node: {type(expr).__name__}") diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 21866f976b07..22a872c22fe1 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -206,18 +206,21 @@ def column_names(self) -> List[str]: return self._table.column_names def fill_column(self, name: str, value: Any) -> Block: - assert name not in self._table.column_names - import pyarrow.compute as pc - if isinstance(value, pyarrow.Scalar): - type = value.type + # Check if value is array-like - if so, use upsert_column logic + if isinstance(value, (pyarrow.Array, pyarrow.ChunkedArray)): + return self.upsert_column(name, value) else: - type = pyarrow.infer_type([value]) + # Scalar value - use original fill_column logic + if isinstance(value, pyarrow.Scalar): + type = value.type + else: + type = pyarrow.infer_type([value]) - array = pyarrow.nulls(len(self._table), type=type) - array = pc.fill_null(array, value) - return self._table.append_column(name, array) + array = pyarrow.nulls(len(self._table), type=type) + array = pc.fill_null(array, value) + return self._table.append_column(name, array) @classmethod def from_bytes(cls, data: bytes) -> "ArrowBlockAccessor": diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index fd43b450b7bd..683bd70055cc 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -289,8 +289,10 @@ def column_names(self) -> List[str]: return self._table.columns.tolist() def fill_column(self, name: str, value: Any) -> Block: - assert name not in self._table.columns - + # Check if value is array-like - if so, use upsert_column logic + if isinstance(value, (pd.Series, np.ndarray)): + return self.upsert_column(name, value) + # Scalar value - use original fill_column logic return self._table.assign(**{name: value}) @staticmethod diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index adc8d3157471..6f9dcc5a885f 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -130,10 +130,14 @@ def _project_block(block: Block) -> Block: # Add/update with expression results result_block = block for name, expr in exprs.items(): + # Use expr.name if available, otherwise fall back to the dict key name + actual_name = expr.name if expr.name is not None else name result = eval_expr(expr, result_block) result_block_accessor = BlockAccessor.for_block(result_block) - result_block = result_block_accessor.upsert_column(name, result) - + # fill_column handles both scalars and arrays + result_block = result_block_accessor.fill_column( + actual_name, result + ) block = result_block # 2. (optional) column projection diff --git a/python/ray/data/expressions.py b/python/ray/data/expressions.py index 2bdd358c0515..a67e41f9dff9 100644 --- a/python/ray/data/expressions.py +++ b/python/ray/data/expressions.py @@ -86,6 +86,16 @@ class Expr(ABC): data_type: DataType + @property + def name(self) -> str | None: + """Get the name associated with this expression. + + Returns: + The name for expressions that have one (ColumnExpr, AliasExpr), + None otherwise. + """ + return None + @abstractmethod def structurally_equals(self, other: Any) -> bool: """Compare two expression ASTs for structural equality.""" @@ -208,6 +218,27 @@ def not_in(self, values: Union[List[Any], "Expr"]) -> "Expr": values = LiteralExpr(values) return self._bin(values, Operation.NOT_IN) + def alias(self, name: str) -> "Expr": + """Rename the expression. + + This method allows you to assign a new name to an expression result. + This is particularly useful when you want to specify the output column name + directly within the expression rather than as a separate parameter. + + Args: + name: The new name for the expression + + Returns: + An AliasExpr that wraps this expression with the specified name + + Example: + >>> from ray.data.expressions import col, lit + >>> # Create an expression with a new aliased name + >>> expr = (col("price") * col("quantity")).alias("total") + >>> # Can be used with Dataset operations that support named expressions + """ + return AliasExpr(data_type=self.data_type, expr=self, _name=name) + @DeveloperAPI(stability="alpha") @dataclass(frozen=True, eq=False) @@ -227,9 +258,14 @@ class ColumnExpr(Expr): >>> age_expr = col("age") # Creates ColumnExpr(name="age") """ - name: str + _name: str data_type: DataType = field(default_factory=lambda: DataType(object), init=False) + @property + def name(self) -> str: + """Get the column name.""" + return self._name + def structurally_equals(self, other: Any) -> bool: return isinstance(other, ColumnExpr) and self.name == other.name @@ -498,6 +534,27 @@ def structurally_equals(self, other: Any) -> bool: ) +@DeveloperAPI(stability="alpha") +@dataclass(frozen=True, eq=False) +class AliasExpr(Expr): + """Expression that represents an alias for an expression.""" + + expr: Expr + _name: str + + @property + def name(self) -> str: + """Get the alias name.""" + return self._name + + def structurally_equals(self, other: Any) -> bool: + return ( + isinstance(other, AliasExpr) + and self.expr.structurally_equals(other.expr) + and self.name == other.name + ) + + @PublicAPI(stability="beta") def col(name: str) -> ColumnExpr: """ @@ -603,8 +660,9 @@ def download(uri_column_name: str) -> DownloadExpr: "BinaryExpr", "UnaryExpr", "UDFExpr", - "udf", "DownloadExpr", + "AliasExpr", + "udf", "col", "lit", "download", diff --git a/python/ray/data/tests/test_expressions.py b/python/ray/data/tests/test_expressions.py index 815ab4465352..087daeba93b2 100644 --- a/python/ray/data/tests/test_expressions.py +++ b/python/ray/data/tests/test_expressions.py @@ -34,9 +34,64 @@ # Commutative operations are not structurally equal (col("a") + col("b"), col("b") + col("a"), False), (lit(1) * col("c"), col("c") * lit(1), False), + # Alias expression tests + (col("a").alias("b"), col("a").alias("b"), True), + (col("a").alias("b"), col("a").alias("c"), False), # Different alias + (col("a").alias("b"), col("b").alias("b"), False), # Different column + ((col("a") + 1).alias("result"), (col("a") + 1).alias("result"), True), + ( + (col("a") + 1).alias("result"), + (col("a") + 2).alias("result"), + False, + ), # Different expr + (col("a").alias("b"), col("a"), False), # Alias vs non-alias ] +@pytest.mark.parametrize( + "expr, alias_name, expected_alias", + [ + # (expression, alias_name, expected_alias) + (col("price"), "product_price", "product_price"), + (lit(42), "answer", "answer"), + (col("a") + col("b"), "sum", "sum"), + ((col("price") * col("qty")) + lit(5), "total_with_fee", "total_with_fee"), + (col("age") >= lit(18), "is_adult", "is_adult"), + ], + ids=["col_alias", "lit_alias", "binary_alias", "complex_alias", "comparison_alias"], +) +def test_alias_functionality(expr, alias_name, expected_alias): + """Test alias functionality with various expression types.""" + import pandas as pd + + from ray.data._expression_evaluator import eval_expr + + # Test alias creation + aliased_expr = expr.alias(alias_name) + assert aliased_expr.name == expected_alias + assert aliased_expr.expr.structurally_equals(expr) + + # Test data type preservation + assert aliased_expr.data_type == expr.data_type + + # Test evaluation equivalence + test_data = pd.DataFrame( + { + "price": [10, 20], + "qty": [2, 3], + "a": [1, 2], + "b": [3, 4], + "age": [17, 25], + } + ) + original_result = eval_expr(expr, test_data) + aliased_result = eval_expr(aliased_expr, test_data) + if hasattr(original_result, "equals"): # For pandas Series + assert original_result.equals(aliased_result) + else: # For scalars + assert original_result == aliased_result + + @pytest.mark.parametrize( "expr1, expr2, expected", STRUCTURAL_EQUALITY_TEST_CASES, diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 52383443f253..6e3889326d76 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -3248,6 +3248,91 @@ def test_with_column_filter_in_pipeline(ray_start_regular_shared): pd.testing.assert_frame_equal(result_df, expected_df, check_dtype=False) +@pytest.mark.parametrize( + "expr_factory, expected_columns, alias_name, expected_values", + [ + ( + lambda: col("id").alias("new_id"), + ["id", "new_id"], + "new_id", + [0, 1, 2, 3, 4], # Copy of id column + ), + ( + lambda: (col("id") + 1).alias("id_plus_one"), + ["id", "id_plus_one"], + "id_plus_one", + [1, 2, 3, 4, 5], # id + 1 + ), + ( + lambda: (col("id") * 2 + 5).alias("transformed"), + ["id", "transformed"], + "transformed", + [5, 7, 9, 11, 13], # id * 2 + 5 + ), + ( + lambda: lit(42).alias("constant"), + ["id", "constant"], + "constant", + [42, 42, 42, 42, 42], # lit(42) + ), + ( + lambda: (col("id") >= 0).alias("is_non_negative"), + ["id", "is_non_negative"], + "is_non_negative", + [True, True, True, True, True], # id >= 0 + ), + ( + lambda: (col("id") + 1).alias("id"), + ["id"], # Only one column since we're overwriting id + "id", + [1, 2, 3, 4, 5], # id + 1 replaces original id + ), + ], + ids=[ + "col_alias", + "arithmetic_alias", + "complex_alias", + "literal_alias", + "comparison_alias", + "overwrite_existing_column", + ], +) +def test_with_column_alias_expressions( + ray_start_regular_shared, + expr_factory, + expected_columns, + alias_name, + expected_values, +): + """Test that alias expressions work correctly with with_column.""" + expr = expr_factory() + + # Verify the alias name matches what we expect + assert expr.name == alias_name + + # Apply the aliased expression + ds = ray.data.range(5).with_column(alias_name, expr) + + # Convert to pandas for comprehensive comparison + result_df = ds.to_pandas() + + # Create expected DataFrame + expected_df = pd.DataFrame({"id": [0, 1, 2, 3, 4], alias_name: expected_values}) + + # Ensure column order matches expected_columns + expected_df = expected_df[expected_columns] + + # Assert the entire DataFrame is equal + pd.testing.assert_frame_equal(result_df, expected_df) + # Verify the alias expression evaluates the same as the non-aliased version + non_aliased_expr = expr + ds_non_aliased = ray.data.range(5).with_column(alias_name, non_aliased_expr) + + non_aliased_df = ds_non_aliased.to_pandas() + + pd.testing.assert_frame_equal(result_df, non_aliased_df) + + if __name__ == "__main__": import sys From 2b4d6d9b2b6f2c748d605275356f1f8bcfe4c467 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 24 Sep 2025 12:43:52 -0700 Subject: [PATCH 1381/1566] [core] Deprecate LIFO/FIFO worker killing policies (#56314) Deprecating lifo/fifo worker killing policies as its unlikely for a user to use anything other than group by owner. Also fixing an issue where the attempt number/max retries and actor restart number/max restarts are different types in the proto. Also fixing an issue where the numbering of the ActorCreationTask proto started at 2 rather than 1. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_memory_pressure.py | 3 +- release/release_data_tests.yaml | 8 - release/release_tests.yaml | 20 +- src/ray/common/lease/lease_spec.cc | 2 +- src/ray/common/lease/lease_spec.h | 2 +- src/ray/common/ray_config_def.h | 6 - src/ray/common/task/task_spec.cc | 2 +- src/ray/common/task/task_spec.h | 2 +- src/ray/core_worker/task_manager.cc | 2 +- src/ray/protobuf/common.proto | 30 +-- src/ray/protobuf/gcs.proto | 2 +- src/ray/raylet/BUILD.bazel | 6 - src/ray/raylet/node_manager.cc | 5 +- src/ray/raylet/tests/BUILD.bazel | 30 --- ...rker_killing_policy_group_by_owner_test.cc | 238 ------------------ ...rker_killing_policy_retriable_fifo_test.cc | 111 -------- .../tests/worker_killing_policy_test.cc | 188 +++++++++++--- src/ray/raylet/worker.h | 10 +- src/ray/raylet/worker_killing_policy.cc | 60 ----- src/ray/raylet/worker_killing_policy.h | 22 +- .../worker_killing_policy_group_by_owner.cc | 6 +- .../worker_killing_policy_group_by_owner.h | 3 +- .../worker_killing_policy_retriable_fifo.cc | 76 ------ .../worker_killing_policy_retriable_fifo.h | 44 ---- 24 files changed, 197 insertions(+), 681 deletions(-) delete mode 100644 src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc delete mode 100644 src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc delete mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.cc delete mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.h diff --git a/python/ray/tests/test_memory_pressure.py b/python/ray/tests/test_memory_pressure.py index 864ba040a673..84816c37df1a 100644 --- a/python/ray/tests/test_memory_pressure.py +++ b/python/ray/tests/test_memory_pressure.py @@ -518,10 +518,9 @@ def infinite_retry_task(): sys.platform != "linux" and sys.platform != "linux2", reason="memory monitor only on linux currently", ) -def test_one_actor_max_fifo_kill_previous_actor(shutdown_only): +def test_one_actor_max_kill_previous_actor(shutdown_only): with ray.init( _system_config={ - "worker_killing_policy": "retriable_fifo", "memory_usage_threshold": 0.7, "memory_monitor_refresh_ms": memory_monitor_refresh_ms, }, diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 52839de05d80..fa19c2a32e59 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -413,8 +413,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -431,8 +429,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml @@ -455,8 +451,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -472,8 +466,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 79e570f07198..f2771f396389 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2198,9 +2198,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: shuffle/shuffle_compute_multi.yaml run: @@ -2273,9 +2271,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: shuffle/shuffle_compute_autoscaling.yaml run: @@ -2441,9 +2437,7 @@ stable: false cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/dask_on_ray_sort_compute_template.yaml run: @@ -2468,9 +2462,7 @@ team: data cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/dask_on_ray_stress_compute.yaml run: @@ -2795,9 +2787,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/1tb_sort_compute.yaml run: diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc index 7d84ebd92144..1283e2d64a03 100644 --- a/src/ray/common/lease/lease_spec.cc +++ b/src/ray/common/lease/lease_spec.cc @@ -156,7 +156,7 @@ bool LeaseSpecification::IsRetriable() const { return true; } -uint64_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } +int32_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } bool LeaseSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/lease/lease_spec.h b/src/ray/common/lease/lease_spec.h index ab507a4e5544..3cf832c095b3 100644 --- a/src/ray/common/lease/lease_spec.h +++ b/src/ray/common/lease/lease_spec.h @@ -82,7 +82,7 @@ class LeaseSpecification : public MessageWrapper { ray::FunctionDescriptor FunctionDescriptor() const; int64_t MaxActorRestarts() const; int32_t MaxRetries() const; - uint64_t AttemptNumber() const; + int32_t AttemptNumber() const; bool IsRetry() const; std::string GetTaskName() const; std::string GetFunctionOrActorName() const; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index ce1f8947ba95..37ef51094772 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -90,12 +90,6 @@ RAY_CONFIG(uint64_t, task_failure_entry_ttl_ms, 15 * 60 * 1000) /// that is not related to running out of memory. Retries indefinitely if the value is -1. RAY_CONFIG(uint64_t, task_oom_retries, -1) -/// The worker killing policy to use, available options are -/// group_by_owner -/// retriable_lifo -/// retriable_fifo -RAY_CONFIG(std::string, worker_killing_policy, "group_by_owner") - /// Whether to report placement or regular resource usage for an actor. /// Reporting placement may cause the autoscaler to overestimate the resources /// required of the cluster, but reporting regular resource may lead to no diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index 94c1199a7d27..e158a1a0e9a0 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -187,7 +187,7 @@ bool TaskSpecification::HasRuntimeEnv() const { return !IsRuntimeEnvEmpty(SerializedRuntimeEnv()); } -uint64_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } +int32_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } bool TaskSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 3ead82c55128..3204943fcc97 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -139,7 +139,7 @@ class TaskSpecification : public MessageWrapper { int GetRuntimeEnvHash() const; - uint64_t AttemptNumber() const; + int32_t AttemptNumber() const; bool IsRetry() const; diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 6ee2a1d8205d..5e25ae157ff7 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -795,7 +795,7 @@ bool TaskManager::HandleReportGeneratorItemReturns( const auto &generator_id = ObjectID::FromBinary(request.generator_id()); const auto &task_id = generator_id.TaskId(); int64_t item_index = request.item_index(); - uint64_t attempt_number = request.attempt_number(); + int64_t attempt_number = request.attempt_number(); // Every generated object has the same task id. RAY_LOG(DEBUG) << "Received an intermediate result of index " << item_index << " generator_id: " << generator_id; diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 410e6bfd5e05..11449cf3f0b3 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -544,7 +544,7 @@ message TaskSpec { SchedulingStrategy scheduling_strategy = 28; // A count of the number of times this task has been attempted so far. 0 // means this is the first execution. - uint64 attempt_number = 29; + int32 attempt_number = 29; // This task returns a dynamic number of objects. bool returns_dynamic = 30; // A list of ObjectIDs that were created by this task but that should be @@ -774,41 +774,41 @@ message ReturnObject { // Task spec of an actor creation task. message ActorCreationTaskSpec { // ID of the actor that will be created by this task. - bytes actor_id = 2; + bytes actor_id = 1; // The max number of times this actor should be restarted. // If this number is 0 the actor won't be restarted. // If this number is -1 the actor will be restarted indefinitely. - int64 max_actor_restarts = 3; + int64 max_actor_restarts = 2; // The max number of times tasks submitted on this actor should be retried // if the actor fails and is restarted. // If this number is 0 the tasks won't be resubmitted. // If this number is -1 the tasks will be resubmitted indefinitely. - int64 max_task_retries = 4; + int64 max_task_retries = 3; // The dynamic options used in the worker command when starting a worker process for // an actor creation task. If the list isn't empty, the options will be used to replace // the placeholder string `RAY_WORKER_DYNAMIC_OPTION_PLACEHOLDER` in the worker command. // Used by Java workers for JVM options. - repeated string dynamic_worker_options = 5; + repeated string dynamic_worker_options = 4; // The max number of concurrent calls for default concurrency group of this actor. - int32 max_concurrency = 6; + int32 max_concurrency = 5; // Whether the actor is persistent. - bool is_detached = 7; + bool is_detached = 6; // Globally-unique name of the actor. Should only be populated when is_detached is true. - string name = 8; + string name = 7; // The namespace of the actor. Should only be populated when is_detached is true. - string ray_namespace = 9; + string ray_namespace = 8; // Whether the actor use async actor calls. - bool is_asyncio = 10; + bool is_asyncio = 9; // Field used for storing application-level extensions to the actor definition. - string extension_data = 11; + string extension_data = 10; // Serialized bytes of the Handle to the actor that will be created by this task. - bytes serialized_actor_handle = 12; + bytes serialized_actor_handle = 11; // The concurrency groups of this actor. - repeated ConcurrencyGroup concurrency_groups = 13; + repeated ConcurrencyGroup concurrency_groups = 12; // Whether to enable out of order execution. - bool allow_out_of_order_execution = 14; + bool allow_out_of_order_execution = 13; // The max number of pending actor calls. - int32 max_pending_calls = 15; + int32 max_pending_calls = 14; } // Task spec of an actor task. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index 9d350bca72e8..fe2a95d16ad8 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -103,7 +103,7 @@ message ActorTableData { // Number of restarts that has been tried on this actor. // This will be greater by 1 than what's published before in ALIVE. // ALIVE:0 RESTARTING:1 ALIVE:1 RESTARTING:2, etc - uint64 num_restarts = 8; + int64 num_restarts = 8; // The address of the actor. Address address = 9; // The address of the actor's owner (parent). diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 342c27452708..2993e7c550c0 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -176,23 +176,17 @@ ray_cc_library( srcs = [ "worker_killing_policy.cc", "worker_killing_policy_group_by_owner.cc", - "worker_killing_policy_retriable_fifo.cc", ], hdrs = [ "worker_killing_policy.h", "worker_killing_policy_group_by_owner.h", - "worker_killing_policy_retriable_fifo.h", ], visibility = [":__subpackages__"], deps = [ ":worker", ":worker_pool", - "//src/ray/common:asio", "//src/ray/common:memory_monitor", - "@boost//:container_hash", - "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/time", - "@com_google_googletest//:gtest_prod", ], ) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index a177d8ba84b0..faf442d1de16 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -43,7 +43,7 @@ #include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/worker_killing_policy.h" +#include "ray/raylet/worker_killing_policy_group_by_owner.h" #include "ray/raylet/worker_pool.h" #include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric_defs.h" @@ -161,8 +161,7 @@ NodeManager::NodeManager( record_metrics_period_ms_(config.record_metrics_period_ms), next_resource_seq_no_(0), ray_syncer_(io_service_, self_node_id_.Binary()), - worker_killing_policy_( - CreateWorkerKillingPolicy(RayConfig::instance().worker_killing_policy())), + worker_killing_policy_(std::make_shared()), memory_monitor_(std::make_unique( io_service, RayConfig::instance().memory_usage_threshold(), diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index b027e767be1f..57f330690039 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -144,36 +144,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "worker_killing_policy_group_by_owner_test", - size = "small", - srcs = [ - "worker_killing_policy_group_by_owner_test.cc", - ], - tags = ["team:core"], - deps = [ - ":util", - "//src/ray/common:lease", - "//src/ray/raylet:worker_killing_policy", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_killing_policy_retriable_fifo_test", - size = "small", - srcs = [ - "worker_killing_policy_retriable_fifo_test.cc", - ], - tags = ["team:core"], - deps = [ - ":util", - "//src/ray/common:lease", - "//src/ray/raylet:worker_killing_policy", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "node_manager_test", size = "small", diff --git a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc deleted file mode 100644 index 93b9b5f8f718..000000000000 --- a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc +++ /dev/null @@ -1,238 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_group_by_owner.h" - -#include -#include -#include -#include - -#include "gtest/gtest.h" -#include "ray/common/lease/lease_spec.h" -#include "ray/raylet/tests/util.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -class WorkerKillingGroupByOwnerTest : public ::testing::Test { - protected: - instrumented_io_context io_context_; - int32_t port_ = 2389; - JobID job_id_ = JobID::FromInt(75); - bool should_retry_ = true; - bool should_not_retry_ = false; - int32_t no_retry_ = 0; - int32_t has_retry_ = 1; - GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(TaskID owner_id, - int32_t max_restarts) { - rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - message.set_max_actor_restarts(max_restarts); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); - return worker; - } - - std::shared_ptr CreateTaskWorker(TaskID owner_id, - int32_t max_retries) { - rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::NORMAL_TASK); - message.set_max_retries(max_retries); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); - return worker; - } -}; - -TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { - std::vector> workers; - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - ASSERT_TRUE(worker_to_kill == nullptr); -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { - std::vector> workers; - - auto owner_id = TaskID::ForDriverTask(job_id_); - auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); - - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { - auto owner_id = TaskID::ForDriverTask(job_id_); - - std::vector> workers; - auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); - ASSERT_EQ(retry, should_not_retry_); -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { - auto first_group_owner_id = TaskID::FromRandom(job_id_); - auto second_group_owner_id = TaskID::FromRandom(job_id_); - - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - first_group_owner_id, has_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); - auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); - auto fifth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); - auto sixth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - workers.push_back(fourth_submitted); - workers.push_back(fifth_submitted); - workers.push_back(sixth_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(fourth_submitted, should_retry_)); - expected.push_back(std::make_pair(sixth_submitted, should_retry_)); - expected.push_back(std::make_pair(third_submitted, should_retry_)); - expected.push_back(std::make_pair(fifth_submitted, should_retry_)); - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - expected.push_back(std::make_pair(third_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, - TestMultipleNonRetriableTaskSameGroupAndNotRetried) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -} // namespace raylet - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} diff --git a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc deleted file mode 100644 index 9026e26b836a..000000000000 --- a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc +++ /dev/null @@ -1,111 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" - -#include -#include - -#include "gtest/gtest.h" -#include "ray/common/lease/lease_spec.h" -#include "ray/raylet/tests/util.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -class WorkerKillerTest : public ::testing::Test { - protected: - int32_t port_ = 2389; - RetriableFIFOWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { - rpc::LeaseSpec message; - message.set_max_actor_restarts(max_restarts); - message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - return worker; - } - - std::shared_ptr CreateTaskWorker(int32_t max_retries) { - rpc::LeaseSpec message; - message.set_max_retries(max_retries); - message.set_type(ray::rpc::TaskType::NORMAL_TASK); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - return worker; - } -}; - -TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { - std::vector> workers; - auto worker_to_kill_and_should_retry = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; - ASSERT_TRUE(worker_to_kill == nullptr); -} - -TEST_F(WorkerKillerTest, - TestPreferRetriableOverNonRetriableAndOrderByTimestampAscending) { - std::vector> workers; - auto first_submitted = - WorkerKillerTest::CreateActorCreationWorker(0 /* max_restarts */); - auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(1 /* max_restarts */); - auto third_submitted = WorkerKillerTest::CreateTaskWorker(0 /* max_restarts */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(1 /* max_restarts */); - - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - workers.push_back(fourth_submitted); - - MemorySnapshot memory_snapshot; - auto worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), fourth_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), first_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), third_submitted->WorkerId()); -} - -} // namespace raylet - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} diff --git a/src/ray/raylet/tests/worker_killing_policy_test.cc b/src/ray/raylet/tests/worker_killing_policy_test.cc index dca60ad6f58c..c43288f79b97 100644 --- a/src/ray/raylet/tests/worker_killing_policy_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_test.cc @@ -15,66 +15,137 @@ #include "ray/raylet/worker_killing_policy.h" #include +#include +#include #include #include "gtest/gtest.h" #include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" +#include "ray/raylet/worker_killing_policy_group_by_owner.h" namespace ray { namespace raylet { -class WorkerKillerTest : public ::testing::Test { +class WorkerKillingGroupByOwnerTest : public ::testing::Test { protected: instrumented_io_context io_context_; int32_t port_ = 2389; - RetriableLIFOWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { + JobID job_id_ = JobID::FromInt(75); + bool should_retry_ = true; + bool should_not_retry_ = false; + int32_t no_retry_ = 0; + int32_t has_retry_ = 1; + GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; + + std::shared_ptr CreateActorCreationWorker(TaskID owner_id, + int32_t max_restarts) { rpc::LeaseSpec message; - message.set_max_actor_restarts(max_restarts); + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); + message.set_max_actor_restarts(max_restarts); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } - std::shared_ptr CreateTaskWorker(int32_t max_retries) { + std::shared_ptr CreateTaskWorker(TaskID owner_id, + int32_t max_retries) { rpc::LeaseSpec message; - message.set_max_retries(max_retries); + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); message.set_type(ray::rpc::TaskType::NORMAL_TASK); + message.set_max_retries(max_retries); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } }; -TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { +TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { std::vector> workers; - auto worker_to_kill_and_should_retry = + auto worker_to_kill_and_should_retry_ = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; + auto worker_to_kill = worker_to_kill_and_should_retry_.first; ASSERT_TRUE(worker_to_kill == nullptr); } -TEST_F(WorkerKillerTest, - TestPreferRetriableOverNonRetriableAndOrderByTimestampDescending) { +TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { std::vector> workers; + + auto owner_id = TaskID::ForDriverTask(job_id_); auto first_submitted = - WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(true /* max_restarts */); - auto third_submitted = WorkerKillerTest::CreateTaskWorker(false /* max_retries */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); - auto fifth_submitted = - WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); - auto sixth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); + + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { + auto owner_id = TaskID::ForDriverTask(job_id_); + + std::vector> workers; + auto first_submitted = + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); + ASSERT_EQ(retry, should_not_retry_); +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { + auto first_group_owner_id = TaskID::FromRandom(job_id_); + auto second_group_owner_id = TaskID::FromRandom(job_id_); + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + first_group_owner_id, has_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fifth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); + auto sixth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); workers.push_back(first_submitted); workers.push_back(second_submitted); workers.push_back(third_submitted); @@ -82,19 +153,76 @@ TEST_F(WorkerKillerTest, workers.push_back(fifth_submitted); workers.push_back(sixth_submitted); - std::vector> expected_order; - expected_order.push_back(sixth_submitted); - expected_order.push_back(fourth_submitted); - expected_order.push_back(second_submitted); - expected_order.push_back(fifth_submitted); - expected_order.push_back(third_submitted); - expected_order.push_back(first_submitted); + std::vector, bool>> expected; + expected.push_back(std::make_pair(fourth_submitted, should_retry_)); + expected.push_back(std::make_pair(sixth_submitted, should_retry_)); + expected.push_back(std::make_pair(third_submitted, should_retry_)); + expected.push_back(std::make_pair(fifth_submitted, should_retry_)); + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + workers.push_back(third_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + expected.push_back(std::make_pair(third_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, + TestMultipleNonRetriableTaskSameGroupAndNotRetried) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - for (const auto &expected : expected_order) { - auto worker_to_kill_and_should_retry = + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; - ASSERT_EQ(worker_to_kill->WorkerId(), expected->WorkerId()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), workers.end()); } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 72a4843ad63e..e2eb754bf4b1 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -243,10 +243,12 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { - return !IsDead() // Not dead - && !GetGrantedLeaseId().IsNil() // Has assigned lease - && !IsBlocked() // Not blocked - && GetActorId().IsNil(); // No assigned actor + return !IsDead() // Not dead + && !GetGrantedLeaseId() + .IsNil() // Has assigned lease. This is intentionally incorrect since + // Ray Data relies on this for GC #56155 + && !IsBlocked() // Not blocked + && GetActorId().IsNil(); // No assigned actor } rpc::CoreWorkerClientInterface *rpc_client() { diff --git a/src/ray/raylet/worker_killing_policy.cc b/src/ray/raylet/worker_killing_policy.cc index e804864f54ac..c7e5280d3155 100644 --- a/src/ray/raylet/worker_killing_policy.cc +++ b/src/ray/raylet/worker_killing_policy.cc @@ -16,59 +16,18 @@ #include -#include #include #include #include #include -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy_group_by_owner.h" -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" #include "ray/raylet/worker_pool.h" namespace ray { namespace raylet { -RetriableLIFOWorkerKillingPolicy::RetriableLIFOWorkerKillingPolicy() {} - -const std::pair, bool> -RetriableLIFOWorkerKillingPolicy::SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const { - if (workers.empty()) { - RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; - return std::make_pair(nullptr, /*should retry*/ false); - } - - std::vector> sorted = workers; - - std::sort(sorted.begin(), - sorted.end(), - [](std::shared_ptr const &left, - std::shared_ptr const &right) -> bool { - // First sort by retriable tasks and then by assigned time in descending - // order. - int left_retriable = - left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - int right_retriable = - right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - if (left_retriable == right_retriable) { - return left->GetGrantedLeaseTime() > right->GetGrantedLeaseTime(); - } - return left_retriable < right_retriable; - }); - - static const int32_t max_to_print = 10; - RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" - << WorkersDebugString(sorted, max_to_print, system_memory); - - return std::make_pair(sorted.front(), /*should retry*/ true); -} - std::string WorkerKillingPolicy::WorkersDebugString( const std::vector> &workers, int32_t num_workers, @@ -99,25 +58,6 @@ std::string WorkerKillingPolicy::WorkersDebugString( return result.str(); } -std::shared_ptr CreateWorkerKillingPolicy( - std::string killing_policy_str) { - if (killing_policy_str == kLifoPolicy) { - RAY_LOG(INFO) << "Running RetriableLIFO policy."; - return std::make_shared(); - } else if (killing_policy_str == kGroupByOwner) { - RAY_LOG(INFO) << "Running GroupByOwner policy."; - return std::make_shared(); - } else if (killing_policy_str == kFifoPolicy) { - RAY_LOG(INFO) << "Running RetriableFIFO policy."; - return std::make_shared(); - } else { - RAY_LOG(ERROR) - << killing_policy_str - << " is an invalid killing policy. Defaulting to RetriableLIFO policy."; - return std::make_shared(); - } -} - } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy.h b/src/ray/raylet/worker_killing_policy.h index b76087ae888f..c8c7ab438961 100644 --- a/src/ray/raylet/worker_killing_policy.h +++ b/src/ray/raylet/worker_killing_policy.h @@ -21,8 +21,6 @@ #include #include -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/common/memory_monitor.h" #include "ray/raylet/worker.h" #include "ray/raylet/worker_pool.h" @@ -31,10 +29,6 @@ namespace ray { namespace raylet { -constexpr char kLifoPolicy[] = "retriable_lifo"; -constexpr char kGroupByOwner[] = "group_by_owner"; -constexpr char kFifoPolicy[] = "retriable_fifo"; - /// Provides the policy on which worker to prioritize killing. class WorkerKillingPolicy { public: @@ -44,11 +38,11 @@ class WorkerKillingPolicy { /// \param system_memory snapshot of memory usage. /// /// \return the worker to kill and whether the task on the worker should be retried. - virtual const std::pair, bool> SelectWorkerToKill( + virtual std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const = 0; - virtual ~WorkerKillingPolicy() {} + virtual ~WorkerKillingPolicy() = default; protected: /// Returns debug string of the workers. @@ -65,18 +59,6 @@ class WorkerKillingPolicy { const MemorySnapshot &system_memory); }; -/// Prefers killing retriable workers over non-retriable ones, in LIFO order. -class RetriableLIFOWorkerKillingPolicy : public WorkerKillingPolicy { - public: - RetriableLIFOWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const; -}; - -std::shared_ptr CreateWorkerKillingPolicy( - std::string killing_policy_str); - } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.cc b/src/ray/raylet/worker_killing_policy_group_by_owner.cc index 97d7010d55c7..493e7c0a966d 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.cc +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.cc @@ -24,12 +24,8 @@ #include #include -#include "absl/container/flat_hash_map.h" #include "absl/time/time.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" namespace ray { @@ -38,7 +34,7 @@ namespace raylet { GroupByOwnerIdWorkerKillingPolicy::GroupByOwnerIdWorkerKillingPolicy() {} -const std::pair, bool> +std::pair, bool> GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const { diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.h b/src/ray/raylet/worker_killing_policy_group_by_owner.h index 791126aab92d..f3712d6a49ae 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.h +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.h @@ -21,7 +21,6 @@ #include #include -#include "absl/container/flat_hash_set.h" #include "absl/time/clock.h" #include "absl/time/time.h" #include "ray/common/memory_monitor.h" @@ -88,7 +87,7 @@ struct Group { class GroupByOwnerIdWorkerKillingPolicy : public WorkerKillingPolicy { public: GroupByOwnerIdWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( + std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const; diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc deleted file mode 100644 index 1169caf35370..000000000000 --- a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc +++ /dev/null @@ -1,76 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" - -#include - -#include -#include -#include -#include -#include -#include - -#include "absl/container/flat_hash_map.h" -#include "absl/time/time.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" -#include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" -#include "ray/raylet/worker_pool.h" - -namespace ray { - -namespace raylet { - -RetriableFIFOWorkerKillingPolicy::RetriableFIFOWorkerKillingPolicy() {} - -const std::pair, bool> -RetriableFIFOWorkerKillingPolicy::SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const { - if (workers.empty()) { - RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; - return std::make_pair(nullptr, /*should retry*/ false); - } - - std::vector> sorted = workers; - - std::sort(sorted.begin(), - sorted.end(), - [](std::shared_ptr const &left, - std::shared_ptr const &right) -> bool { - // First sort by retriable leases and then by lease time in ascending order. - int left_retriable = - left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - int right_retriable = - right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - if (left_retriable == right_retriable) { - return left->GetGrantedLeaseTime() < right->GetGrantedLeaseTime(); - } - return left_retriable < right_retriable; - }); - - static const int32_t max_to_print = 10; - RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" - << WorkerKillingPolicy::WorkersDebugString( - sorted, max_to_print, system_memory); - - return std::make_pair(sorted.front(), /*should retry*/ true); -} - -} // namespace raylet - -} // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.h b/src/ray/raylet/worker_killing_policy_retriable_fifo.h deleted file mode 100644 index 504456913d31..000000000000 --- a/src/ray/raylet/worker_killing_policy_retriable_fifo.h +++ /dev/null @@ -1,44 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include -#include - -#include "absl/container/flat_hash_set.h" -#include "absl/time/clock.h" -#include "absl/time/time.h" -#include "ray/common/memory_monitor.h" -#include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -/// Prefers killing retriable workers over non-retriable ones, then in FIFO order. -class RetriableFIFOWorkerKillingPolicy : public WorkerKillingPolicy { - public: - RetriableFIFOWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const; -}; - -} // namespace raylet - -} // namespace ray From 5f87384aa6a2033a6cb1f8986d9090cb7f503c72 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 24 Sep 2025 12:54:38 -0700 Subject: [PATCH 1382/1566] [core] (cgroups 12/n) Raylet will start worker processes in the application cgroup (#56549) This PR stacks on #56522 . For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR the makes the raylet move runtime_env and dashboard agents into the system cgroup. Workers are now spawned inside the application cgroup. It introduces the following: * I've added a new target `raylet_cgroup_types` which defines the type used all functions that need to add a process to a cgroup. * A new parameter is added to `NodeManager`, `WorkerPool`, `AgentManager`, and `Process` constructors. The parameter is a callback that will use the CgroupManager to add a process to the respective cgroup. * The callback is created in `main.cc`. * `main.cc` owns CgroupManager because it needs to outlive the `WorkerPool`. * `process.c` calls the callback after fork() in the child process so nothing else can happen in the forked process before it's moved into the correct cgroup. * Integration tests in python for end-to-end testing of cgroups with system and application processes moved into their respective cgroups. The tests are inside `python/ray/tests/resource_isolation/test_resource_isolation_integration.py` and have similar setup/teardown to the C++ integration tests introduced in #55063. --------- Signed-off-by: Ibrahim Rabbani Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../test_resource_isolation_integration.py | 411 ++++++++++++++++-- src/ray/common/cgroup2/cgroup_manager.cc | 28 +- src/ray/common/cgroup2/cgroup_manager.h | 39 +- .../common/cgroup2/cgroup_manager_interface.h | 23 +- src/ray/common/cgroup2/noop_cgroup_manager.cc | 4 + src/ray/raylet/BUILD.bazel | 1 - src/ray/raylet/agent_manager.cc | 6 +- src/ray/raylet/agent_manager.h | 10 +- src/ray/raylet/main.cc | 30 +- src/ray/raylet/node_manager.cc | 63 +-- src/ray/raylet/node_manager.h | 9 +- src/ray/raylet/tests/node_manager_test.cc | 4 +- src/ray/raylet/worker_pool.cc | 9 +- src/ray/raylet/worker_pool.h | 41 +- src/ray/util/process.cc | 18 +- src/ray/util/process.h | 21 +- 16 files changed, 586 insertions(+), 131 deletions(-) diff --git a/python/ray/tests/resource_isolation/test_resource_isolation_integration.py b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py index 343d2ce81ba6..c6959a21c4ff 100644 --- a/python/ray/tests/resource_isolation/test_resource_isolation_integration.py +++ b/python/ray/tests/resource_isolation/test_resource_isolation_integration.py @@ -1,24 +1,25 @@ import os +import platform import sys from pathlib import Path +from typing import Set import pytest from click.testing import CliRunner import ray +import ray._common.utils as utils +import ray._private.ray_constants as ray_constants import ray.scripts.scripts as scripts from ray._private.resource_isolation_config import ResourceIsolationConfig # These tests are intended to run in CI inside a container. +# # If you want to run this test locally, you will need to create a cgroup that # the raylet can manage and delegate to the correct user. # -# TODO(#54703): Once implementation is complete, I will add a fixture to this -# test to check for common errors when running locally (such as cgroup2 not mounted -# correct). It'll follow the example of -# src/ray/common/cgroup2/integration_tests/sysfs_cgroup_driver_integration_test_entrypoint.sh -# # Run these commands locally before running the test suite: +# # sudo mkdir -p /sys/fs/cgroup/resource_isolation_test # echo "+cpu +memory" | sudo tee -a /sys/fs/cgroup/resource_isolation_test/cgroup.subtree_control # sudo chown -R $(whoami):$(whoami) /sys/fs/cgroup/resource_isolation_test/ @@ -26,19 +27,262 @@ # echo $$ | sudo tee /sys/fs/cgroup/resource_isolation_test/cgroup.procs # # Comment the following line out. -_BASE_CGROUP_PATH = "/sys/fs/cgroup" +_ROOT_CGROUP = Path("/sys/fs/cgroup") +# +# To run locally, uncomment the following line. +# _ROOT_CGROUP = Path("/sys/fs/cgroup/resource_isolation_test") + +# The integration tests assume that the _ROOT_CGROUP exists and that +# the process has read and write access. +# +# This test suite will create the following cgroup hierarchy for the tests +# starting with BASE_CGROUP. +# +# ROOT_CGROUP +# | +# BASE_CGROUP +# / \ +# TEST_CGROUP LEAF_CGROUP +# | +# ray_node_ +# / \ +# system application +# | | +# leaf leaf # -# Uncomment the following line. -# _BASE_CGROUP_PATH = "/sys/fs/cgroup/resource_isolation_test" +# NOTE: The test suite does not assume that ROOT_CGROUP is an actual root cgroup. Therefore, +# 1. setup will migrate all processes from the ROOT_CGROUP -> LEAF_CGROUP +# 2. teardown will migrate all processes from the LEAF_CGROUP -> ROOT_CGROUP +# +# NOTE: BASE_CGROUP will have a randomly generated name to isolate tests from each other. +# +# The test suite assumes that +# 1. cpu, memory controllers are available on ROOT_CGROUP i.e. in the ROOT_CGROUP/cgroup.controllers file. +# 2. All processes inside the base_cgroup can be migrated into the leaf_cgroup to avoid not violating +# the no internal processes contstraint. +# +# All python tests should only have access to the TEST_CGROUP and nothing outside of it. + +_BASE_CGROUP = _ROOT_CGROUP / ("testing_" + utils.get_random_alphanumeric_string(5)) +_TEST_CGROUP = _BASE_CGROUP / "test" +_LEAF_GROUP = _BASE_CGROUP / "leaf" + +_MOUNT_FILE_PATH = "/etc/mtab" + +# The list of processes expected to be started in the system cgroup +# with default params for 'ray start' and 'ray.init(...)' +_EXPECTED_SYSTEM_PROCESSES_RAY_START = [ + ray_constants.PROCESS_TYPE_DASHBOARD, + ray_constants.PROCESS_TYPE_GCS_SERVER, + ray_constants.PROCESS_TYPE_MONITOR, + ray_constants.PROCESS_TYPE_LOG_MONITOR, + ray_constants.PROCESS_TYPE_RAY_CLIENT_SERVER, + ray_constants.PROCESS_TYPE_RAYLET, + ray_constants.PROCESS_TYPE_DASHBOARD_AGENT, + ray_constants.PROCESS_TYPE_RUNTIME_ENV_AGENT, +] +_EXPECTED_SYSTEM_PROCESSES_RAY_INIT = [ + ray_constants.PROCESS_TYPE_DASHBOARD, + ray_constants.PROCESS_TYPE_GCS_SERVER, + ray_constants.PROCESS_TYPE_MONITOR, + ray_constants.PROCESS_TYPE_LOG_MONITOR, + ray_constants.PROCESS_TYPE_RAYLET, + ray_constants.PROCESS_TYPE_DASHBOARD_AGENT, + ray_constants.PROCESS_TYPE_RUNTIME_ENV_AGENT, +] + + +@pytest.fixture(scope="session", autouse=True) +def test_suite_fixture(): + """Setups up and tears down the cgroup hierachy for the test suite.""" + setup_test_suite() + yield + cleanup_test_suite() + + +def setup_test_suite(): + """Creates the cgroup hierarchy and moves processes out of the _ROOT_CGROUP into the _LEAF_CGROUP. + + The setup involves the following steps: + 1) Check if the platform is Linux. + 2) Check that cgroupv2 is mounted with read, write permissions in unified mode i.e. cgroupv1 is not mounted. + 3) Check that the _ROOT_CGROUP exists and has [cpu, memory] controllers available. + 4) Create the _BASE_CGROUP, _TEST_CGROUP, and _LEAF_CGROUP respectively. + 5) Move processes from the _ROOT_CGROUP to the _LEAF_CGROUP because of the internal processes constraint. + 6) Enable [cpu, memory] controllers in the _ROOT_CGROUP, _BASE_CGROUP, and _TEST_CGROUP respectively. + + If any of the steps fail, teardown will be run. Teardown will perform a subset of these steps (not the checks), in reverse order. + """ + try: + # 1) If platform is not linux. + assert ( + platform.system() == "Linux" + ), f"Failed because resource isolation integration tests can only run on Linux and not on {platform.system()}." + + # 2) Check that cgroupv2 is mounted in read-write mode in unified mode. + with open(_MOUNT_FILE_PATH, "r") as mount_file: + lines = mount_file.readlines() + found_cgroup_v1 = False + found_cgroup_v2 = False + for line in lines: + found_cgroup_v1 = found_cgroup_v1 or ("cgroup r" in line.strip()) + found_cgroup_v2 = found_cgroup_v2 or ("cgroup2 rw" in line.strip()) + + assert found_cgroup_v2, ( + "Failed because cgroupv2 is not mounted on the system in read-write mode." + " See the following documentation for how to enable cgroupv2 properly:" + " https://kubernetes.io/docs/concepts/architecture/cgroups/#linux-distribution-cgroup-v2-support" + ) + + assert not found_cgroup_v1, ( + "Failed because cgroupv2 and cgroupv1 is mounted on this system." + " See the following documentation for how to enable cgroupv2 in properly in unified mode:" + " https://kubernetes.io/docs/concepts/architecture/cgroups/#linux-distribution-cgroup-v2-support" + ) + + # 3) Check that current user has read-write access to _BASE_CGROUP_PATH by attempting + # to write the current process into it. + root_cgroup_procs_file = _ROOT_CGROUP / "cgroup.procs" + with open(root_cgroup_procs_file, "w") as procs_file: + procs_file.write(str(os.getpid())) + procs_file.flush() + + # 4) Check to see that _ROOT_CGROUP has the [cpu, memory] controllers are available. + root_cgroup_controllers_path = _ROOT_CGROUP / "cgroup.controllers" + expected_controllers = {"cpu", "memory"} + with open(root_cgroup_controllers_path, "r") as available_controllers_file: + available_controllers = set( + available_controllers_file.readline().strip().split(" ") + ) + assert expected_controllers.issubset(available_controllers), ( + f"Failed because the cpu and memory controllers are not available in {root_cgroup_controllers_path}." + " To enable a controller, you need to add it to the cgroup.controllers file of the parent cgroup of {_ROOT_CGROUP}." + " See: https://docs.kernel.org/admin-guide/cgroup-v2.html#enabling-and-disabling." + ) + + # 5) Create the leaf cgroup and move all processes from _BASE_CGROUP_PATH into it. + os.mkdir(_BASE_CGROUP) + os.mkdir(_TEST_CGROUP) + os.mkdir(_LEAF_GROUP) + + # 6) Move all processes into the leaf cgroup. + with open(_ROOT_CGROUP / "cgroup.procs", "r") as root_procs_file, open( + _LEAF_GROUP / "cgroup.procs", "w" + ) as leaf_procs_file: + root_cgroup_lines = root_procs_file.readlines() + for line in root_cgroup_lines: + leaf_procs_file.write(line.strip()) + leaf_procs_file.flush() + + # 7) Enable [cpu, memory] controllers on the base and test cgroup. + with open( + _ROOT_CGROUP / "cgroup.subtree_control", "w" + ) as base_subtree_control_file: + base_subtree_control_file.write("+cpu +memory") + base_subtree_control_file.flush() + with open( + _BASE_CGROUP / "cgroup.subtree_control", "w" + ) as base_subtree_control_file: + base_subtree_control_file.write("+cpu +memory") + base_subtree_control_file.flush() + with open( + _TEST_CGROUP / "cgroup.subtree_control", "w" + ) as test_subtree_control_file: + test_subtree_control_file.write("+cpu +memory") + test_subtree_control_file.flush() + except Exception as e: + print( + f"Failed to setup the test suite with error {str(e)}. Attempting to run teardown." + ) + cleanup_test_suite() + + +def cleanup_test_suite(): + """Cleans up the cgroup hierarchy and moves processes out of the _LEAF_CGROUP into the _ROOT_CGROUP. + + The setup involves the following steps: + 1) Disable [cpu, memory] controllers in the _ROOT_CGROUP, _BASE_CGROUP, and _TEST_CGROUP respectively. + 2) Move processes from the _LEAF_CGROUP to the _ROOT_CGROUP so the hierarchy can be deleted. + 3) Create the _BASE_CGROUP, _TEST_CGROUP, and _LEAF_CGROUP respectively. + + If any of the steps fail, teardown will fail an assertion. + """ + # 1) Disable the controllers. + try: + with open( + _TEST_CGROUP / "cgroup.subtree_control", "w" + ) as test_subtree_control_file: + test_subtree_control_file.write("-cpu -memory") + test_subtree_control_file.flush() + with open( + _BASE_CGROUP / "cgroup.subtree_control", "w" + ) as base_subtree_control_file: + base_subtree_control_file.write("-cpu -memory") + base_subtree_control_file.flush() + with open( + _ROOT_CGROUP / "cgroup.subtree_control", "w" + ) as base_subtree_control_file: + base_subtree_control_file.write("-cpu -memory") + base_subtree_control_file.flush() + # 2) Move processes back into the leaf cgroup. + with open(_ROOT_CGROUP / "cgroup.procs", "w") as root_procs_file, open( + _LEAF_GROUP / "cgroup.procs", "r" + ) as leaf_procs_file: + leaf_cgroup_lines = leaf_procs_file.readlines() + for line in leaf_cgroup_lines: + root_procs_file.write(line.strip()) + root_procs_file.flush() + # 3) Delete the cgroups. + os.rmdir(_LEAF_GROUP) + os.rmdir(_TEST_CGROUP) + os.rmdir(_BASE_CGROUP) + except Exception as e: + assert False, ( + f"Failed to cleanup test suite's cgroup hierarchy because of {str(e)}." + "You may have to manually clean up the hierachy under ${_ROOT_CGROUP}" + ) + + +@pytest.fixture +def cleanup_ray(): + """Shutdown all ray instances""" + yield + runner = CliRunner() + runner.invoke(scripts.stop) + ray.shutdown() + + +@pytest.fixture +def ray_shutdown(): + yield + ray.shutdown() + + +def generate_node_id(): + """Returns a random node id.""" + return ray.NodeID.from_random().hex() -# TODO(#54703): This test is deliberately overspecified right now. The test shouldn't -# care about the cgroup hierarchy. It should just verify that application and system processes -# are started in a cgroup with the correct constraints. This will be updated once cgroup -# process management is completed. def assert_cgroup_hierarchy_exists_for_node( node_id: str, resource_isolation_config: ResourceIsolationConfig ): + """Asserts that the cgroup hierarchy was created correctly for the node. + + The cgroup hierarchy looks like: + + _TEST_CGROUP + | + ray_node_ + | | + system application + | | + leaf leaf + + Args: + node_id: used to find the path of the cgroup subtree + resource_isolation_config: used to verify constraints enabled on the system + and application cgroups + """ base_cgroup_for_node = resource_isolation_config.cgroup_path node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" system_cgroup = node_cgroup / "system" @@ -69,34 +313,71 @@ def assert_cgroup_hierarchy_exists_for_node( 10000 - resource_isolation_config.system_reserved_cpu_weight ) - # 3) Check to see that all system pids are inside the system cgroup - system_leaf_cgroup_procs = system_leaf_cgroup / "cgroup.procs" + +def assert_system_processes_are_in_system_cgroup( + node_id, resource_isolation_config, expected_count +): + base_cgroup_for_node = resource_isolation_config.cgroup_path + node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" + system_cgroup = node_cgroup / "system" + system_leaf_cgroup = system_cgroup / "leaf" + # At least the raylet process is always moved. - with open(system_leaf_cgroup_procs, "r") as cgroup_procs_file: + with open(system_leaf_cgroup / "cgroup.procs", "r") as cgroup_procs_file: lines = cgroup_procs_file.readlines() assert ( - len(lines) > 0 + len(lines) == expected_count ), f"Expected only system process passed into the raylet. Found {lines}" -def assert_cgroup_hierarchy_cleaned_up_for_node( - node_id: str, resource_isolation_config: ResourceIsolationConfig +def assert_worker_processes_are_in_application_cgroup( + node_id: str, + resource_isolation_config: ResourceIsolationConfig, + worker_pids: Set[str], ): + """Asserts that the cgroup hierarchy was deleted correctly for the node. + + Args: + node_id: used to construct the path of the cgroup subtree + resource_isolation_config: used to construct the path of the cgroup + subtree + worker_pids: a set of pids that are expected inside the application + leaf cgroup. + """ base_cgroup_for_node = resource_isolation_config.cgroup_path node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" - assert not node_cgroup.is_dir() + application_leaf_cgroup_procs = ( + node_cgroup / "application" / "leaf" / "cgroup.procs" + ) + with open(application_leaf_cgroup_procs, "r") as cgroup_procs_file: + pids_in_cgroup = set() + lines = cgroup_procs_file.readlines() + for line in lines: + pids_in_cgroup.add(line.strip()) + assert pids_in_cgroup == worker_pids -@pytest.fixture -def cleanup_ray(): - """Shutdown all ray instances""" - yield - runner = CliRunner() - runner.invoke(scripts.stop) - ray.shutdown() +def assert_cgroup_hierarchy_cleaned_up_for_node( + node_id: str, resource_isolation_config: ResourceIsolationConfig +): + """Asserts that the cgroup hierarchy was deleted correctly for the node. + Args: + node_id: used to construct the path of the cgroup subtree + resource_isolation_config: used to construct the path of the cgroup + subtree + """ + base_cgroup_for_node = resource_isolation_config.cgroup_path + node_cgroup = Path(base_cgroup_for_node) / f"ray_node_{node_id}" + # If the root cgroup is deleted, there's no need to check anything else. + assert ( + not node_cgroup.is_dir() + ), f"Root cgroup node at {node_cgroup} was not deleted. Cgroup cleanup failed. You may have to manually delete the cgroup subtree." -def test_ray_start_invalid_resource_isolation_config(cleanup_ray): + +# The following tests check for cgroup setup and cleanup with the +# ray cli. +def test_ray_cli_start_invalid_resource_isolation_config(cleanup_ray): runner = CliRunner() result = runner.invoke( scripts.start, @@ -106,14 +387,16 @@ def test_ray_start_invalid_resource_isolation_config(cleanup_ray): assert isinstance(result.exception, ValueError) -def test_ray_start_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( - monkeypatch, cleanup_ray +def test_ray_cli_start_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( + cleanup_ray, ): + cgroup_path = str(_TEST_CGROUP) object_store_memory = 1024**3 system_reserved_memory = 1024**3 + num_cpus = 4 system_reserved_cpu = 1 resource_isolation_config = ResourceIsolationConfig( - cgroup_path=_BASE_CGROUP_PATH, + cgroup_path=cgroup_path, enable_resource_isolation=True, system_reserved_cpu=system_reserved_cpu, system_reserved_memory=system_reserved_memory, @@ -125,9 +408,11 @@ def test_ray_start_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( scripts.start, [ "--head", + "--num-cpus", + num_cpus, "--enable-resource-isolation", "--cgroup-path", - _BASE_CGROUP_PATH, + cgroup_path, "--system-reserved-cpu", system_reserved_cpu, "--system-reserved-memory", @@ -139,18 +424,33 @@ def test_ray_start_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( assert result.exit_code == 0 resource_isolation_config.add_object_store_memory(object_store_memory) assert_cgroup_hierarchy_exists_for_node(node_id, resource_isolation_config) + assert_system_processes_are_in_system_cgroup( + node_id, resource_isolation_config, len(_EXPECTED_SYSTEM_PROCESSES_RAY_START) + ) + + @ray.remote(num_cpus=1) + class Actor: + def __init__(self): + pass + + def get_pid(self): + return os.getpid() + + actor_refs = [] + for _ in range(num_cpus): + actor_refs.append(Actor.remote()) + worker_pids = set() + for actor in actor_refs: + worker_pids.add(str(ray.get(actor.get_pid.remote()))) + assert_worker_processes_are_in_application_cgroup( + node_id, resource_isolation_config, worker_pids + ) runner.invoke(scripts.stop) assert_cgroup_hierarchy_cleaned_up_for_node(node_id, resource_isolation_config) # The following tests will test integration of resource isolation # with the ray.init() function. -@pytest.fixture -def ray_shutdown(): - yield - ray.shutdown() - - def test_ray_init_resource_isolation_disabled_by_default(ray_shutdown): ray.init(address="local") node = ray._private.worker._global_node @@ -158,29 +458,54 @@ def test_ray_init_resource_isolation_disabled_by_default(ray_shutdown): assert not node.resource_isolation_config.is_enabled() -def test_ray_init_with_resource_isolation_override_defaults(ray_shutdown): +def test_ray_init_resource_isolation_creates_cgroup_hierarchy_and_cleans_up( + ray_shutdown, +): + cgroup_path = str(_TEST_CGROUP) system_reserved_cpu = 1 system_reserved_memory = 1024**3 object_store_memory = 1024**3 + num_cpus = 4 resource_isolation_config = ResourceIsolationConfig( enable_resource_isolation=True, - cgroup_path=_BASE_CGROUP_PATH, + cgroup_path=cgroup_path, system_reserved_cpu=system_reserved_cpu, system_reserved_memory=system_reserved_memory, ) resource_isolation_config.add_object_store_memory(object_store_memory) + node_id = generate_node_id() + os.environ["RAY_OVERRIDE_NODE_ID_FOR_TESTING"] = node_id ray.init( address="local", + num_cpus=num_cpus, enable_resource_isolation=True, - _cgroup_path=_BASE_CGROUP_PATH, + _cgroup_path=cgroup_path, system_reserved_cpu=system_reserved_cpu, system_reserved_memory=system_reserved_memory, object_store_memory=object_store_memory, ) - node = ray._private.worker._global_node - assert node is not None - node_id = node.node_id assert_cgroup_hierarchy_exists_for_node(node_id, resource_isolation_config) + assert_system_processes_are_in_system_cgroup( + node_id, resource_isolation_config, len(_EXPECTED_SYSTEM_PROCESSES_RAY_INIT) + ) + + @ray.remote(num_cpus=1) + class Actor: + def __init__(self): + pass + + def get_pid(self): + return os.getpid() + + actor_refs = [] + for _ in range(num_cpus): + actor_refs.append(Actor.remote()) + worker_pids = set() + for actor in actor_refs: + worker_pids.add(str(ray.get(actor.get_pid.remote()))) + assert_worker_processes_are_in_application_cgroup( + node_id, resource_isolation_config, worker_pids + ) ray.shutdown() assert_cgroup_hierarchy_cleaned_up_for_node(node_id, resource_isolation_config) diff --git a/src/ray/common/cgroup2/cgroup_manager.cc b/src/ray/common/cgroup2/cgroup_manager.cc index 9a808305c365..3d0c902e6a60 100644 --- a/src/ray/common/cgroup2/cgroup_manager.cc +++ b/src/ray/common/cgroup2/cgroup_manager.cc @@ -289,25 +289,31 @@ Status CgroupManager::Initialize(int64_t system_reserved_cpu_weight, cpu_weight_constraint_.name_, std::to_string(application_cgroup_cpu_weight))); RegisterRemoveConstraint(application_cgroup_, cpu_weight_constraint_); - return Status::OK(); } -Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { - Status s = cgroup_driver_->AddProcessToCgroup(system_leaf_cgroup_, pid); +Status CgroupManager::AddProcessToCgroup(const std::string &cgroup, + const std::string &pid) { + Status s = cgroup_driver_->AddProcessToCgroup(cgroup, pid); // TODO(#54703): Add link to OSS documentation once available. - RAY_CHECK(!s.IsNotFound()) << "Failed to move process " << pid << " into system cgroup " - << system_leaf_cgroup_ - << " because the cgroup was not found. " - "If resource isolation is enabled, Ray's cgroup " - "hierarchy must not be modified " - "while Ray is running."; + RAY_CHECK(!s.IsNotFound()) + << "Failed to move process " << pid << " into cgroup " << cgroup + << " because the cgroup was not found. If resource isolation is enabled, Ray's " + "cgroup hierarchy must not be modified while Ray is running."; RAY_CHECK(!s.IsPermissionDenied()) - << "Failed to move process " << pid << " into system cgroup " << system_leaf_cgroup_ + << "Failed to move process " << pid << " into cgroup " << cgroup << " because Ray does not have read, write, and execute " "permissions for the cgroup. If resource isolation is enabled, Ray's cgroup " "hierarchy must not be modified while Ray is running."; - return s; } + +Status CgroupManager::AddProcessToApplicationCgroup(const std::string &pid) { + return AddProcessToCgroup(application_leaf_cgroup_, pid); +} + +Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { + return AddProcessToCgroup(system_leaf_cgroup_, pid); +} + } // namespace ray diff --git a/src/ray/common/cgroup2/cgroup_manager.h b/src/ray/common/cgroup2/cgroup_manager.h index 443fb5f39bbf..3693d3fcfa08 100644 --- a/src/ray/common/cgroup2/cgroup_manager.h +++ b/src/ray/common/cgroup2/cgroup_manager.h @@ -70,7 +70,7 @@ class CgroupManager : public CgroupManagerInterface { CgroupManager &operator=(CgroupManager &&); /** - Moves the process into the system leaf cgroup (@see + Moves the process into the application leaf cgroup (@see CgroupManagerInterface::kLeafCgroupName). To move the pid, the process must have read, write, and execute permissions for the @@ -81,6 +81,25 @@ class CgroupManager : public CgroupManagerInterface { TODO(#54703): There currently is not a good way to signal to the caller that the method can cause a FATAL error. Revisit this once we've settled on a pattern. + NOTE: If the process does not have adequate cgroup permissions or the application leaf + cgroup does not exist, this will fail a RAY_CHECK. + + @param pid of the process to move into the application leaf cgroup. + + @return Status::OK if pid moved successfully. + @return Status::NotFound if the application cgroup does not exist. + */ + Status AddProcessToApplicationCgroup(const std::string &pid) override; + + /** + Moves the process into the system leaf cgroup (@see + CgroupManagerInterface::kLeafCgroupName). + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the system leaf cgroup i.e. the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + NOTE: If the process does not have adequate cgroup permissions or the system leaf cgroup does not exist, this will fail a RAY_CHECK. @@ -107,6 +126,24 @@ class CgroupManager : public CgroupManagerInterface { const std::string &node_id, std::unique_ptr cgroup_driver); + /** + Moves the process into the specified cgroup. + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the system leaf cgroup i.e. the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + + NOTE: If the process does not have adequate cgroup permissions or the system leaf + cgroup does not exist, this will fail a RAY_CHECK. + + @param pid of the process to move into the system leaf cgroup. + + @return Status::OK if pid moved successfully. + @return Status::NotFound if the system cgroup does not exist. + */ + Status AddProcessToCgroup(const std::string &cgroup, const std::string &pid); + /** Performs the following operations: diff --git a/src/ray/common/cgroup2/cgroup_manager_interface.h b/src/ray/common/cgroup2/cgroup_manager_interface.h index 955370e0322b..096979d436a4 100644 --- a/src/ray/common/cgroup2/cgroup_manager_interface.h +++ b/src/ray/common/cgroup2/cgroup_manager_interface.h @@ -42,9 +42,26 @@ namespace ray { */ class CgroupManagerInterface { public: - // TODO(#54703): These will be implemented in a later PR to move processes - // into a cgroup. - // virtual Status AddProcessToApplicationCgroup(int) = 0; + /* + Moves the process into the application leaf cgroup (@see kLeafCgroupName). + + To move the pid, the process must have read, write, and execute permissions for the + 1) the cgroup the pid is currently in i.e. the source cgroup. + 2) the system leaf cgroup i.e. the destination cgroup. + 3) the lowest common ancestor of the source and destination cgroups. + + TODO(#54703): There currently is not a good way to signal to the caller that + the method can cause a FATAL error. Revisit this once we've settled on a pattern. + + NOTE: If the process does not have adequate cgroup permissions or the application leaf + cgroup does not exist, this will fail a RAY_CHECK. + + @param pid of the process to move into the system leaf cgroup. + + @return Status::OK if pid moved successfully. + @return Status::NotFound if the application cgroup does not exist. + */ + virtual Status AddProcessToApplicationCgroup(const std::string &pid) = 0; /** Moves the process into the system leaf cgroup (@see kLeafCgroupName). diff --git a/src/ray/common/cgroup2/noop_cgroup_manager.cc b/src/ray/common/cgroup2/noop_cgroup_manager.cc index bf982d4d44d7..6caf59092acb 100644 --- a/src/ray/common/cgroup2/noop_cgroup_manager.cc +++ b/src/ray/common/cgroup2/noop_cgroup_manager.cc @@ -41,4 +41,8 @@ Status CgroupManager::AddProcessToSystemCgroup(const std::string &pid) { return Status::OK(); } +Status CgroupManager::AddProcessToApplicationCgroup(const std::string &pid) { + return Status::OK(); +} + } // namespace ray diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 2993e7c550c0..d038150f15c4 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -221,7 +221,6 @@ ray_cc_library( "//src/ray/common:flatbuf_utils", "//src/ray/common:lease", "//src/ray/common:memory_monitor", - "//src/ray/common/cgroup2:cgroup_manager_interface", "//src/ray/core_worker:experimental_mutable_object_provider", "//src/ray/core_worker_rpc_client:core_worker_client_pool", "//src/ray/flatbuffers:node_manager_generated", diff --git a/src/ray/raylet/agent_manager.cc b/src/ray/raylet/agent_manager.cc index 26e142d824a1..a5ced2323b25 100644 --- a/src/ray/raylet/agent_manager.cc +++ b/src/ray/raylet/agent_manager.cc @@ -17,6 +17,7 @@ #include #include #include +#include #include #include "ray/common/ray_config.h" @@ -27,7 +28,7 @@ namespace ray { namespace raylet { -void AgentManager::StartAgent() { +void AgentManager::StartAgent(AddProcessToCgroupHook add_to_cgroup) { std::vector argv; argv.reserve(options_.agent_commands.size()); for (const std::string &arg : options_.agent_commands) { @@ -67,7 +68,8 @@ void AgentManager::StartAgent() { false, env, /*pipe_to_stdin*/ - RayConfig::instance().enable_pipe_based_agent_to_parent_health_check()); + RayConfig::instance().enable_pipe_based_agent_to_parent_health_check(), + std::move(add_to_cgroup)); if (!process_.IsValid() || ec) { // The worker failed to start. This is a fatal error. RAY_LOG(FATAL) << "Failed to start agent " << options_.agent_name diff --git a/src/ray/raylet/agent_manager.h b/src/ray/raylet/agent_manager.h index a220bc515471..2a3dd0962805 100644 --- a/src/ray/raylet/agent_manager.h +++ b/src/ray/raylet/agent_manager.h @@ -33,6 +33,9 @@ namespace raylet { using DelayExecutorFn = std::function( std::function, uint32_t)>; +// TODO(#54703): Put this type in a separate target. +using AddProcessToCgroupHook = std::function; + // Manages a separate "Agent" process. In constructor (or the `StartAgent` method) it // starts a process with `agent_commands` plus some additional arguments. // @@ -59,7 +62,8 @@ class AgentManager { Options options, DelayExecutorFn delay_executor, std::function shutdown_raylet_gracefully, - bool start_agent = true /* for test */) + bool start_agent = true /* for test */, + AddProcessToCgroupHook add_to_cgroup = [](const std::string &) {}) : options_(std::move(options)), delay_executor_(std::move(delay_executor)), shutdown_raylet_gracefully_(std::move(shutdown_raylet_gracefully)), @@ -71,13 +75,13 @@ class AgentManager { RAY_LOG(FATAL) << "AgentManager agent_commands must not be empty."; } if (start_agent) { - StartAgent(); + StartAgent(std::move(add_to_cgroup)); } } ~AgentManager(); private: - void StartAgent(); + void StartAgent(AddProcessToCgroupHook add_to_cgroup); private: const Options options_; diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index 06e96126d151..cd899c1ddec1 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -266,6 +266,10 @@ int main(int argc, char *argv[]) { gflags::ShutDownCommandLineFlags(); std::unique_ptr cgroup_manager; + AddProcessToCgroupHook add_process_to_cgroup_hook = [](const std::string &) {}; + AddProcessToCgroupHook add_process_to_application_cgroup_hook = + [](const std::string &) {}; + AddProcessToCgroupHook add_process_to_system_cgroup_hook = [](const std::string &) {}; // TODO(#54703): Link OSS documentation once it's available in the error messages. if (enable_resource_isolation) { @@ -321,6 +325,27 @@ int main(int argc, char *argv[]) { s.ToString()); } } + add_process_to_application_cgroup_hook = + [&cgroup_mgr = *cgroup_manager](const std::string &pid) { + ray::Status s = cgroup_mgr.AddProcessToApplicationCgroup(pid); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to move process %s into the application cgroup with error %s.", + pid, + s.ToString()); + } + }; + + add_process_to_system_cgroup_hook = [&cgroup_mgr = + *cgroup_manager](const std::string &pid) { + ray::Status s = cgroup_mgr.AddProcessToSystemCgroup(pid); + if (!s.ok()) { + RAY_LOG(WARNING) << absl::StrFormat( + "Failed to move process %s into the system cgroup with error %s.", + pid, + s.ToString()); + } + }; } // Configuration for the node manager. @@ -647,7 +672,8 @@ int main(int argc, char *argv[]) { /*starting_worker_timeout_callback=*/ [&] { cluster_lease_manager->ScheduleAndGrantLeases(); }, node_manager_config.ray_debugger_external, - /*get_time=*/[]() { return absl::Now(); }); + /*get_time=*/[]() { return absl::Now(); }, + std::move(add_process_to_application_cgroup_hook)); client_call_manager = std::make_unique( main_service, /*record_stats=*/true); @@ -950,7 +976,7 @@ int main(int argc, char *argv[]) { std::move(raylet_client_factory), /*check_signals=*/nullptr), shutdown_raylet_gracefully, - std::move(cgroup_manager)); + std::move(add_process_to_system_cgroup_hook)); // Initialize the node manager. raylet = std::make_unique(main_service, diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index faf442d1de16..acd4bbea357a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -31,7 +31,6 @@ #include "ray/common/asio/asio_util.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/buffer.h" -#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/constants.h" #include "ray/common/flatbuf_utils.h" #include "ray/common/grpc_util.h" @@ -116,7 +115,7 @@ NodeManager::NodeManager( std::unique_ptr mutable_object_provider, std::function shutdown_raylet_gracefully, - std::unique_ptr cgroup_manager) + AddProcessToCgroupHook add_process_to_system_cgroup_hook) : self_node_id_(self_node_id), self_node_name_(std::move(self_node_name)), io_service_(io_service), @@ -168,7 +167,7 @@ NodeManager::NodeManager( RayConfig::instance().min_memory_free_bytes(), RayConfig::instance().memory_monitor_refresh_ms(), CreateMemoryUsageRefreshCallback())), - cgroup_manager_(std::move(cgroup_manager)) { + add_process_to_system_cgroup_hook_(std::move(add_process_to_system_cgroup_hook)) { RAY_LOG(INFO).WithField(kLogKeyNodeID, self_node_id_) << "Initializing NodeManager"; placement_group_resource_manager_ = @@ -227,8 +226,8 @@ void NodeManager::RegisterGcs() { } }; - // If the node resource message is received first and then the node message is received, - // ForwardTask will throw exception, because it can't get node info. + // If the node resource message is received first and then the node message is + // received, ForwardTask will throw exception, because it can't get node info. auto on_node_change_subscribe_done = [this](Status status) { RAY_CHECK_OK(status); @@ -491,8 +490,8 @@ void NodeManager::HandleReleaseUnusedBundles(rpc::ReleaseUnusedBundlesRequest re const auto &bundle_id = request.bundles_in_use(index).bundle_id(); in_use_bundles.emplace(PlacementGroupID::FromBinary(bundle_id.placement_group_id()), bundle_id.bundle_index()); - // Add -1 one to the in_use_bundles. It's ok to add it more than one times since it's - // a set. + // Add -1 one to the in_use_bundles. It's ok to add it more than one times since + // it's a set. in_use_bundles.emplace(PlacementGroupID::FromBinary(bundle_id.placement_group_id()), -1); } @@ -513,8 +512,8 @@ void NodeManager::HandleReleaseUnusedBundles(rpc::ReleaseUnusedBundlesRequest re "registered to GCS. It can happen upon GCS restart."); // Kill all workers that are currently associated with the unused bundles. - // NOTE: We can't traverse directly with `leased_workers_`, because `DestroyWorker` will - // delete the element of `leased_workers_`. So we need to filter out + // NOTE: We can't traverse directly with `leased_workers_`, because `DestroyWorker` + // will delete the element of `leased_workers_`. So we need to filter out // `workers_associated_with_unused_bundles` separately. std::vector> workers_associated_with_unused_bundles; for (const auto &worker_it : leased_workers_) { @@ -646,8 +645,8 @@ void NodeManager::QueryAllWorkerStates( // Sort workers for the consistent ordering. auto sort_func = [](std::shared_ptr worker_a, std::shared_ptr worker_b) { - // Prioritize drivers over workers. It is because drivers usually have data users care - // more. Note the enum values Driver == 1, Worker == 0. + // Prioritize drivers over workers. It is because drivers usually have data users + // care more. Note the enum values Driver == 1, Worker == 0. return (worker_a->GetWorkerType() > worker_b->GetWorkerType()) // If the worker type is the same, order it based on pid (just for consistent // ordering). @@ -754,8 +753,8 @@ void NodeManager::WarnResourceDeadlock() { << pending_actor_creations << " pending actors on this node."; RAY_LOG_EVERY_MS(WARNING, 10 * 1000) << cluster_lease_manager_.DebugStr(); } - // Try scheduling leases. Without this, if there's no more leases coming in, deadlocked - // leases are never be scheduled. + // Try scheduling leases. Without this, if there's no more leases coming in, + // deadlocked leases are never be scheduled. cluster_lease_manager_.ScheduleAndGrantLeases(); } @@ -787,7 +786,8 @@ void NodeManager::NodeRemoved(const NodeID &node_id) { if (!is_shutting_down_) { std::ostringstream error_message; error_message - << "[Timeout] Exiting because this node manager has mistakenly been marked as " + << "[Timeout] Exiting because this node manager has mistakenly been marked " + "as " "dead by the " << "GCS: GCS failed to check the health of this node for " << RayConfig::instance().health_check_failure_threshold() << " times." @@ -1800,8 +1800,8 @@ void NodeManager::HandleCancelResourceReserve( " is removed.")); // Kill all workers that are currently associated with the placement group. - // NOTE: We can't traverse directly with `leased_workers_`, because `DestroyWorker` will - // delete the element of `leased_workers_`. So we need to filter out + // NOTE: We can't traverse directly with `leased_workers_`, because `DestroyWorker` + // will delete the element of `leased_workers_`. So we need to filter out // `workers_associated_with_pg` separately. std::vector> workers_associated_with_pg; for (const auto &worker_it : leased_workers_) { @@ -1812,13 +1812,13 @@ void NodeManager::HandleCancelResourceReserve( } for (const auto &worker : workers_associated_with_pg) { std::ostringstream stream; - stream - << "Destroying worker since its placement group was removed. Placement group id: " - << worker->GetBundleId().first - << ", bundle index: " << bundle_spec.BundleId().second - << ", lease id: " << worker->GetGrantedLeaseId() - << ", actor id: " << worker->GetActorId() - << ", worker id: " << worker->WorkerId(); + stream << "Destroying worker since its placement group was removed. Placement " + "group id: " + << worker->GetBundleId().first + << ", bundle index: " << bundle_spec.BundleId().second + << ", lease id: " << worker->GetGrantedLeaseId() + << ", actor id: " << worker->GetActorId() + << ", worker id: " << worker->WorkerId(); const auto &message = stream.str(); RAY_LOG(DEBUG) << message; DestroyWorker(worker, rpc::WorkerExitType::INTENDED_SYSTEM_EXIT, message); @@ -2022,9 +2022,9 @@ void NodeManager::HandleShutdownRaylet(rpc::ShutdownRayletRequest request, } auto shutdown_after_reply = [&]() { rpc::DrainServerCallExecutor(); - // Note that the callback is posted to the io service after the shutdown GRPC request - // is replied. Otherwise, the RPC might not be replied to GCS before it shutsdown - // itself. + // Note that the callback is posted to the io service after the shutdown GRPC + // request is replied. Otherwise, the RPC might not be replied to GCS before it + // shutsdown itself. rpc::NodeDeathInfo node_death_info; node_death_info.set_reason(rpc::NodeDeathInfo::EXPECTED_TERMINATION); node_death_info.set_reason_message("Terminated by autoscaler."); @@ -2829,7 +2829,8 @@ MemoryUsageRefreshCallback NodeManager::CreateMemoryUsageRefreshCallback() { auto workers = worker_pool_.GetAllRegisteredWorkers(); if (workers.empty()) { RAY_LOG_EVERY_MS(WARNING, 5000) - << "Memory usage above threshold but no workers are available for killing." + << "Memory usage above threshold but no workers are available for " + "killing." << "This could be due to worker memory leak and" << "idle worker are occupying most of the memory."; return; @@ -3064,7 +3065,9 @@ std::unique_ptr NodeManager::CreateDashboardAgentManager( [this](const rpc::NodeDeathInfo &death_info) { this->is_shutting_down_ = true; this->shutdown_raylet_gracefully_(death_info); - }); + }, + true, + add_process_to_system_cgroup_hook_); } std::unique_ptr NodeManager::CreateRuntimeEnvAgentManager( @@ -3099,7 +3102,9 @@ std::unique_ptr NodeManager::CreateRuntimeEnvAgentManager( [this](const rpc::NodeDeathInfo &death_info) { this->is_shutting_down_ = true; this->shutdown_raylet_gracefully_(death_info); - }); + }, + true, + add_process_to_system_cgroup_hook_); } } // namespace ray::raylet diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 1b437bafe524..6b564d442012 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -23,7 +23,6 @@ #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/bundle_spec.h" -#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/id.h" #include "ray/common/lease/lease.h" #include "ray/common/memory_monitor.h" @@ -62,6 +61,9 @@ using rpc::GcsNodeInfo; using rpc::JobTableData; using rpc::ResourceUsageBatchData; +// TODO(#54703): Put this type in a separate target. +using AddProcessToCgroupHook = std::function; + struct NodeManagerConfig { /// The node's resource configuration. ResourceSet resource_config; @@ -151,7 +153,7 @@ class NodeManager : public rpc::NodeManagerServiceHandler, std::unique_ptr mutable_object_provider, std::function shutdown_raylet_gracefully, - std::unique_ptr cgroup_manager); + AddProcessToCgroupHook add_process_to_system_cgroup_hook); /// Handle an unexpected error that occurred on a client connection. /// The client will be disconnected and no more messages will be processed. @@ -879,7 +881,8 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// Monitors and reports node memory usage and whether it is above threshold. std::unique_ptr memory_monitor_; - std::unique_ptr cgroup_manager_; + /// Used to move the dashboard and runtime_env agents into the system cgroup. + AddProcessToCgroupHook add_process_to_system_cgroup_hook_; }; } // namespace ray::raylet diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index cd0f412c56d5..fcd99fa8488e 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -30,7 +30,6 @@ #include "mock/ray/raylet/worker_pool.h" #include "mock/ray/rpc/worker/core_worker_client.h" #include "ray/common/buffer.h" -#include "ray/common/cgroup2/cgroup_manager_interface.h" #include "ray/common/flatbuf_utils.h" #include "ray/common/scheduling/cluster_resource_data.h" #include "ray/core_worker_rpc_client/core_worker_client_pool.h" @@ -419,7 +418,7 @@ class NodeManagerTest : public ::testing::Test { std::move(mutable_object_provider), /*shutdown_raylet_gracefully=*/ [](const auto &) {}, - std::move(cgroup_manager_)); + [](const std::string &) {}); } instrumented_io_context io_service_; @@ -438,7 +437,6 @@ class NodeManagerTest : public ::testing::Test { std::make_unique(); std::unique_ptr mock_object_directory_; std::unique_ptr mock_object_manager_; - std::unique_ptr cgroup_manager_; core::experimental::MockMutableObjectProvider *mock_mutable_object_provider_; std::shared_ptr mock_store_client_ = std::make_shared(); diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index 32c6d7530e45..a0322c6e4a15 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -101,7 +101,8 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, std::string native_library_path, std::function starting_worker_timeout_callback, int ray_debugger_external, - std::function get_time) + std::function get_time, + AddProcessToCgroupHook add_to_cgroup_hook) : worker_startup_token_counter_(0), io_service_(&io_service), node_id_(node_id), @@ -122,7 +123,8 @@ WorkerPool::WorkerPool(instrumented_io_context &io_service, std::min(num_prestarted_python_workers, maximum_startup_concurrency_)), num_prestart_python_workers(num_prestarted_python_workers), periodical_runner_(PeriodicalRunner::Create(io_service)), - get_time_(std::move(get_time)) { + get_time_(std::move(get_time)), + add_to_cgroup_hook_(std::move(add_to_cgroup_hook)) { RAY_CHECK_GT(maximum_startup_concurrency_, 0); // We need to record so that the metric exists. This way, we report that 0 // processes have started before a task runs on the node (as opposed to the @@ -666,7 +668,8 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ RAY_LOG(DEBUG) << debug_info; } - Process child(argv.data(), io_service_, ec, /*decouple=*/false, env); + Process child( + argv.data(), io_service_, ec, /*decouple=*/false, env, false, add_to_cgroup_hook_); if (!child.IsValid() || ec) { // errorcode 24: Too many files. This is caused by ulimit. if (ec.value() == 24) { diff --git a/src/ray/raylet/worker_pool.h b/src/ray/raylet/worker_pool.h index 448a7ee90b34..71eeb09e1122 100644 --- a/src/ray/raylet/worker_pool.h +++ b/src/ray/raylet/worker_pool.h @@ -49,6 +49,9 @@ namespace raylet { using WorkerCommandMap = absl::flat_hash_map, std::hash>; +// TODO(#54703): Put this type in a separate target. +using AddProcessToCgroupHook = std::function; + enum PopWorkerStatus { // OK. // A registered worker will be returned with callback. @@ -304,22 +307,26 @@ class WorkerPool : public WorkerPoolInterface { /// \param ray_debugger_external Ray debugger in workers will be started in a way /// that they are accessible from outside the node. /// \param get_time A callback to get the current time in milliseconds. - /// adding itself into appropriate cgroup. - WorkerPool(instrumented_io_context &io_service, - const NodeID &node_id, - std::string node_address, - std::function get_num_cpus_available, - int num_prestarted_python_workers, - int maximum_startup_concurrency, - int min_worker_port, - int max_worker_port, - const std::vector &worker_ports, - gcs::GcsClient &gcs_client, - const WorkerCommandMap &worker_commands, - std::string native_library_path, - std::function starting_worker_timeout_callback, - int ray_debugger_external, - std::function get_time); + /// \param add_to_cgroup_hook A lifecycle hook that the forked worker process will + /// execute becoming a worker process. The hook adds a newly forked process into + /// the appropriate cgroup. + WorkerPool( + instrumented_io_context &io_service, + const NodeID &node_id, + std::string node_address, + std::function get_num_cpus_available, + int num_prestarted_python_workers, + int maximum_startup_concurrency, + int min_worker_port, + int max_worker_port, + const std::vector &worker_ports, + gcs::GcsClient &gcs_client, + const WorkerCommandMap &worker_commands, + std::string native_library_path, + std::function starting_worker_timeout_callback, + int ray_debugger_external, + std::function get_time, + AddProcessToCgroupHook add_to_cgroup_hook = [](const std::string &) {}); /// Destructor responsible for freeing a set of workers owned by this class. ~WorkerPool() override; @@ -910,6 +917,8 @@ class WorkerPool : public WorkerPoolInterface { int64_t process_failed_pending_registration_ = 0; int64_t process_failed_runtime_env_setup_failed_ = 0; + AddProcessToCgroupHook add_to_cgroup_hook_; + /// Ray metrics ray::stats::Sum ray_metric_num_workers_started_{ /*name=*/"internal_num_processes_started", diff --git a/src/ray/util/process.cc b/src/ray/util/process.cc index b1bb78ee77cd..a985c8f35c2a 100644 --- a/src/ray/util/process.cc +++ b/src/ray/util/process.cc @@ -122,7 +122,8 @@ class ProcessFD { std::error_code &ec, bool decouple, const ProcessEnvironment &env, - bool pipe_to_stdin) { + bool pipe_to_stdin, + std::function add_to_cgroup) { ec = std::error_code(); intptr_t fd; pid_t pid; @@ -208,6 +209,12 @@ class ProcessFD { pid = pipefds[1] != -1 ? fork() : -1; + // The process was forked successfully and we're executing in the child + // process. + if (pid == 0) { + add_to_cgroup(std::to_string(getpid())); + } + // If we don't pipe to stdin close pipes that are not needed. if (pid <= 0 && pipefds[0] != -1) { close(pipefds[0]); // not the parent, so close the read end of the pipe @@ -385,19 +392,22 @@ Process::Process(const char *argv[], std::error_code &ec, bool decouple, const ProcessEnvironment &env, - bool pipe_to_stdin) { + bool pipe_to_stdin, + std::function add_to_cgroup) { /// TODO: use io_service with boost asio notify_fork. (void)io_service; #ifdef __linux__ KnownChildrenTracker::instance().AddKnownChild([&, this]() -> pid_t { - ProcessFD procfd = ProcessFD::spawnvpe(argv, ec, decouple, env, pipe_to_stdin); + ProcessFD procfd = ProcessFD::spawnvpe( + argv, ec, decouple, env, pipe_to_stdin, std::move(add_to_cgroup)); if (!ec) { this->p_ = std::make_shared(std::move(procfd)); } return this->GetId(); }); #else - ProcessFD procfd = ProcessFD::spawnvpe(argv, ec, decouple, env, pipe_to_stdin); + ProcessFD procfd = ProcessFD::spawnvpe( + argv, ec, decouple, env, pipe_to_stdin, std::move(add_to_cgroup)); if (!ec) { p_ = std::make_shared(std::move(procfd)); } diff --git a/src/ray/util/process.h b/src/ray/util/process.h index e222a6f7bfcb..751710ba37af 100644 --- a/src/ray/util/process.h +++ b/src/ray/util/process.h @@ -33,6 +33,9 @@ #include "ray/util/compat.h" #include "ray/util/logging.h" +// TODO(#54703): Put this type in a separate target. +using AddProcessToCgroupHook = std::function; + #ifndef PID_MAX_LIMIT // This is defined by Linux to be the maximum allowable number of processes // There's no guarantee for other OSes, but it's useful for testing purposes. @@ -88,19 +91,23 @@ class Process { /// \param[in] pipe_to_stdin If true, it creates a pipe and redirect to child process' /// stdin. It is used for health checking from a child process. /// Child process can read stdin to detect when the current process dies. - /// + /// \param add_to_cgroup_hook A lifecycle hook that the forked process will + /// call after fork and before exec to move itself into the appropriate cgroup. + // // The subprocess is child of this process, so it's caller process's duty to handle // SIGCHLD signal and reap the zombie children. // // Note: if RAY_kill_child_processes_on_worker_exit_with_raylet_subreaper is set to // true, Raylet will kill any orphan grandchildren processes when the spawned process // dies, *even if* `decouple` is set to `true`. - explicit Process(const char *argv[], - void *io_service, - std::error_code &ec, - bool decouple = false, - const ProcessEnvironment &env = {}, - bool pipe_to_stdin = false); + explicit Process( + const char *argv[], + void *io_service, + std::error_code &ec, + bool decouple = false, + const ProcessEnvironment &env = {}, + bool pipe_to_stdin = false, + AddProcessToCgroupHook add_to_cgroup_hook = [](const std::string &) {}); /// Convenience function to run the given command line and wait for it to finish. static std::error_code Call(const std::vector &args, const ProcessEnvironment &env = {}); From 795d1c63decf08053efdb54496dca201418dd0f0 Mon Sep 17 00:00:00 2001 From: Omkar Kulkarni Date: Wed, 24 Sep 2025 13:01:57 -0700 Subject: [PATCH 1383/1566] [image] add haproxy binary, for ray serve use (#56845) ## Why are these changes needed? Certain ray serve components need some additional dependencies that need to be added to the base images. This PR updates the base docker build files to add them with a multi-stage build for slim images. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- docker/base-extra/Dockerfile | 58 +++++++++++++++++++++++++++++++++++- docker/base-slim/Dockerfile | 57 ++++++++++++++++++++++++++++++++++- 2 files changed, 113 insertions(+), 2 deletions(-) diff --git a/docker/base-extra/Dockerfile b/docker/base-extra/Dockerfile index 02b851b2f594..05c43fc8b5d3 100644 --- a/docker/base-extra/Dockerfile +++ b/docker/base-extra/Dockerfile @@ -2,7 +2,7 @@ ARG BASE_IMAGE="rayproject/ray:latest" -FROM "$BASE_IMAGE" +FROM "$BASE_IMAGE" AS main-build ENV TERM=xterm @@ -198,7 +198,63 @@ fi # Remove apt sources so that it won't run into apt update issues when running # the image. sudo rm -rf /etc/apt/sources.list.d/* +sudo rm -rf /var/lib/apt/lists/* EOF +# --- HAProxy Build Stage --- +FROM $BASE_IMAGE AS haproxy-builder + +USER root + +RUN < Date: Wed, 24 Sep 2025 13:30:37 -0700 Subject: [PATCH 1384/1566] [core][rdt][cgraphs] Only allocate tensor without initializing/writing on recv (#56882) ## Why are these changes needed? `torch.zeros` allocates memory and then writes zeros to it. `torch.empty` only allocates the memory, so you'll get whatever existed in memory there before but don't pay the cost of writing which is ok because our recv will do the actual writing here. Did some benchmarks on cpu memory and gpu memory on an aws g4dn.12xlarge. Did them 10-20 times, ~2000x on cpu, ~10x on gpu. The gpu benchmarks did need the warmup loop before for empty to actually get the 10x gains. Making this change for rdt recv's, cgraphs recv's, and the nccl benchmarking recv in our cgraph benchmarks. ### CPU Memory Benchmark ``` start_time = time.perf_counter() tensor = torch.empty(10000 * 1024 * 1024, dtype=torch.uint8) # tensor = torch.zeros(10000 * 1024 * 1024, dtype=torch.uint8) print(time.perf_counter() - start_time) # Zeros: 0.44489038293249905 # Empty: 0.00016737193800508976 ``` ### GPU Memory Benchmark ``` # warm up context/allocator for _ in range(10): _ = torch.empty(1, device="cuda") start_time = time.perf_counter() tensor = torch.empty(10000 * 1024 * 1024, dtype=torch.uint8, device="cuda") # tensor = torch.zeros(10000 * 1024 * 1024, dtype=torch.uint8, device="cuda") print(time.perf_counter() - start_time) # Zeros: 0.008416594937443733 # Empty: 0.0006318900268524885 ``` --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/experimental/channel/conftest.py | 4 ++-- .../channel/torch_tensor_accelerator_channel.py | 8 ++++---- .../experimental/gpu_object_manager/gpu_object_store.py | 2 +- .../experimental/compiled_graph_gpu_microbenchmark.py | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/python/ray/experimental/channel/conftest.py b/python/ray/experimental/channel/conftest.py index 0e6cb1c04a8f..d735a9f0ec69 100644 --- a/python/ray/experimental/channel/conftest.py +++ b/python/ray/experimental/channel/conftest.py @@ -153,8 +153,8 @@ def start_nccl_mock(): tensor_patcher = mock.patch("torch.Tensor.is_cuda", True) tensor_patcher.start() tensor_allocator_patcher = mock.patch( - "ray.experimental.channel.torch_tensor_accelerator_channel._torch_zeros_allocator", - lambda shape, dtype: torch.zeros(shape, dtype=dtype), + "ray.experimental.channel.torch_tensor_accelerator_channel._torch_tensor_allocator", + lambda shape, dtype: torch.empty(shape, dtype=dtype), ) tensor_allocator_patcher.start() diff --git a/python/ray/experimental/channel/torch_tensor_accelerator_channel.py b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py index 08149406951a..5e5f4e2abe5e 100644 --- a/python/ray/experimental/channel/torch_tensor_accelerator_channel.py +++ b/python/ray/experimental/channel/torch_tensor_accelerator_channel.py @@ -352,17 +352,17 @@ def close(self) -> None: self._local_channel.close() -def _torch_zeros_allocator( +def _torch_tensor_allocator( shape: Union[int, Tuple[int]], dtype: "torch.dtype", ): """ - Allocate a zeros tensor buffer matching the given metadata. + Allocate a tensor buffer matching the given metadata. """ import torch ctx = ChannelContext.get_current() - return torch.zeros(shape, dtype=dtype, device=ctx.torch_device) + return torch.empty(shape, dtype=dtype, device=ctx.torch_device) class _TorchTensorAcceleratorChannel(ChannelInterface): @@ -633,7 +633,7 @@ def read( bufs: List["torch.Tensor"] = [] for meta in meta_list: buf = self._accelerator_group.recv( - meta.shape, meta.dtype, self._writer_rank, _torch_zeros_allocator + meta.shape, meta.dtype, self._writer_rank, _torch_tensor_allocator ) bufs.append(buf) # TODO: Sync CUDA stream after receiving all tensors, instead of after diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_store.py b/python/ray/experimental/gpu_object_manager/gpu_object_store.py index f9cc08861892..5e9c95688778 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_store.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_store.py @@ -91,7 +91,7 @@ def __ray_recv__( tensors = [] for meta in tensor_meta: shape, dtype = meta - tensor = torch.zeros(shape, dtype=dtype, device=device) + tensor = torch.empty(shape, dtype=dtype, device=device) tensors.append(tensor) tensor_transport_manager = get_tensor_transport_manager(backend) diff --git a/release/microbenchmark/experimental/compiled_graph_gpu_microbenchmark.py b/release/microbenchmark/experimental/compiled_graph_gpu_microbenchmark.py index eebce3de3ffd..e6771e26673c 100644 --- a/release/microbenchmark/experimental/compiled_graph_gpu_microbenchmark.py +++ b/release/microbenchmark/experimental/compiled_graph_gpu_microbenchmark.py @@ -105,7 +105,7 @@ def _run(): input_buffer = torch.ones(shape, dtype=dtype, device=self.device) * i self._send(input_buffer, input_buffer.numel(), other_rank) else: - input_buffer = torch.zeros(shape, dtype=dtype, device=self.device) + input_buffer = torch.empty(shape, dtype=dtype, device=self.device) self._recv(input_buffer, input_buffer.numel(), other_rank) torch.cuda.synchronize() From 46ee3754f8117b295521f1a6e21313ae7ab15c87 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Wed, 24 Sep 2025 17:11:56 -0400 Subject: [PATCH 1385/1566] [Data] Cleaning up `ParquetDatasource` sampling sequence (#56892) ## Why are these changes needed? Just cleaning it up to make it easier to read and comprehend. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- .../datasource/parquet_datasource.py | 26 ++++++++++++------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 7afb171b9fd3..60c4eb785873 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -782,18 +782,26 @@ def get_parquet_dataset(paths, filesystem, dataset_kwargs): def _sample_fragments( fragments: List[_ParquetFragment], ) -> List[_ParquetFragment]: - num_files = len(fragments) - num_samples = int(num_files * PARQUET_ENCODING_RATIO_ESTIMATE_SAMPLING_RATIO) - min_num_samples = min(PARQUET_ENCODING_RATIO_ESTIMATE_MIN_NUM_SAMPLES, num_files) - max_num_samples = min(PARQUET_ENCODING_RATIO_ESTIMATE_MAX_NUM_SAMPLES, num_files) - num_samples = max(min(num_samples, max_num_samples), min_num_samples) + if not fragments: + return [] + + target_num_samples = math.ceil( + len(fragments) * PARQUET_ENCODING_RATIO_ESTIMATE_SAMPLING_RATIO + ) + + target_num_samples = max( + min(target_num_samples, PARQUET_ENCODING_RATIO_ESTIMATE_MAX_NUM_SAMPLES), + PARQUET_ENCODING_RATIO_ESTIMATE_MIN_NUM_SAMPLES, + ) + + # Make sure number of samples doesn't exceed total # of files + target_num_samples = min(target_num_samples, len(fragments)) # Evenly distributed to choose which file to sample, to avoid biased prediction # if data is skewed. - return [ - fragments[idx] - for idx in np.linspace(0, num_files - 1, num_samples).astype(int).tolist() - ] + pivots = np.linspace(0, len(fragments) - 1, target_num_samples).astype(int) + + return [fragments[idx] for idx in pivots.tolist()] def _add_partitions_to_table( From cd7d75b4b8d9f08db742a4c6b584d3fc8e31230f Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Wed, 24 Sep 2025 14:58:22 -0700 Subject: [PATCH 1386/1566] [core][train] Ray Train disables blocking get inside async warning (#56757) # Summary Ray Train essentially has three parts: the driver, the controller actor, and the worker actors. We turned the controller into an async actor so that users can abort or get reported checkpoints from the controller while it is running. However, Ray Train currently calls `ray.get` several times within the `Controller` async actor e.g. [when waiting for the placement group to be ready](https://github.com/ray-project/ray/blob/master/python/ray/train/v2/_internal/execution/worker_group/worker_group.py#L293). I tried replacing all of these calls with `awaits` but ultimately decided against it because doing so would be a large effort (see https://github.com/ray-project/ray/pull/54181 for some examples, including changing all our callbacks to be asyncio compatible) and require us to handle complex corner cases like controller abortion cleaning up an in-progress placement group. Ultimately we decided that this was fine because it enables the aforementioned operations (abort and get reported checkpoints) without introducing any behavior regressions (the ray.get's were already blocking before we made everything asyncio) other than showing Ray train users the warning below, which has caused confusion: ``` "Using blocking ray.get inside async actor. " "This blocks the event loop. Please use `await` " "on object ref with asyncio.gather if you want to " "yield execution to the event loop instead." ``` This PR * introduces a new `WARN_BLOCKING_GET_INSIDE_ASYNC` env var that toggles whether we `logger.warning` or `logger.debug`. This warns by default so it is a no-op for all non Ray Train use cases. * Ray Train sets this env var to "0" if it is not already set. Users can still flip the env var if they want. # Testing Unit tests --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- python/ray/_common/constants.py | 2 ++ python/ray/_private/worker.py | 19 +++++++++++------- python/ray/train/v2/_internal/constants.py | 6 ++++++ .../ray/train/v2/api/data_parallel_trainer.py | 10 ++++++++++ .../v2/tests/test_data_parallel_trainer.py | 20 ++++++++++++++++++- 5 files changed, 49 insertions(+), 8 deletions(-) diff --git a/python/ray/_common/constants.py b/python/ray/_common/constants.py index e77a8ff77019..c9ca78de99f5 100644 --- a/python/ray/_common/constants.py +++ b/python/ray/_common/constants.py @@ -3,3 +3,5 @@ NODE_ID_PREFIX = "node:" # The system resource that head node has. HEAD_NODE_RESOURCE_NAME = NODE_ID_PREFIX + "__internal_head__" + +RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR = "RAY_WARN_BLOCKING_GET_INSIDE_ASYNC" diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py index 239cef46713b..170b25b78af0 100644 --- a/python/ray/_private/worker.py +++ b/python/ray/_private/worker.py @@ -60,6 +60,7 @@ import ray.remote_function from ray import ActorID, JobID, Language, ObjectRef from ray._common import ray_option_utils +from ray._common.constants import RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR from ray._common.utils import load_class from ray._private.client_mode_hook import client_mode_hook from ray._private.custom_types import TensorTransportEnum @@ -2912,13 +2913,17 @@ def get( if hasattr(worker, "core_worker") and worker.core_worker.current_actor_is_asyncio(): global blocking_get_inside_async_warned if not blocking_get_inside_async_warned: - logger.warning( - "Using blocking ray.get inside async actor. " - "This blocks the event loop. Please use `await` " - "on object ref with asyncio.gather if you want to " - "yield execution to the event loop instead." - ) - blocking_get_inside_async_warned = True + if ray_constants.env_bool( + RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR, + True, + ): + logger.warning( + "Using blocking ray.get inside async actor. " + "This blocks the event loop. Please use `await` " + "on object ref with asyncio.gather if you want to " + "yield execution to the event loop instead." + ) + blocking_get_inside_async_warned = True with profiling.profile("ray.get"): # TODO(sang): Should make ObjectRefGenerator diff --git a/python/ray/train/v2/_internal/constants.py b/python/ray/train/v2/_internal/constants.py index 918b1ad637db..ea2526421ee8 100644 --- a/python/ray/train/v2/_internal/constants.py +++ b/python/ray/train/v2/_internal/constants.py @@ -1,6 +1,7 @@ import os from typing import Dict +from ray._common.constants import RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR from ray._private.ray_constants import env_bool, env_set_by_user # Unsupported configs can use this value to detect if the user has set it. @@ -83,9 +84,13 @@ # GET_ACTOR_TIMEOUT_S_ENV_VAR * CONTROLLERS_TO_POLL_PER_ITERATION_ENV_VAR should be # way less than STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR. CONTROLLERS_TO_POLL_PER_ITERATION: int = 5 + # Environment variable for Train execution callbacks RAY_TRAIN_CALLBACKS_ENV_VAR = "RAY_TRAIN_CALLBACKS" +# Ray Train does not warn by default when using blocking ray.get inside async actor. +DEFAULT_RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_VALUE = "0" + # Environment variables to propagate from the driver to the controller, # and then from the controller to the workers. ENV_VARS_TO_PROPAGATE = { @@ -100,6 +105,7 @@ ENABLE_WORKER_STRUCTURED_LOGGING_ENV_VAR, ENABLE_STATE_ACTOR_RECONCILIATION_ENV_VAR, STATE_ACTOR_RECONCILIATION_INTERVAL_S_ENV_VAR, + RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR, } diff --git a/python/ray/train/v2/api/data_parallel_trainer.py b/python/ray/train/v2/api/data_parallel_trainer.py index 1ac6c0223945..16a3c52df945 100644 --- a/python/ray/train/v2/api/data_parallel_trainer.py +++ b/python/ray/train/v2/api/data_parallel_trainer.py @@ -1,10 +1,12 @@ import logging +import os import signal import sys import threading from typing import Any, Callable, Dict, List, Optional, Union import ray +from ray._common.constants import RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR from ray._common.usage import usage_lib from ray._private.ray_constants import env_bool from ray.actor import ActorHandle @@ -38,6 +40,7 @@ from ray.train.v2._internal.callbacks.state_manager import StateManagerCallback from ray.train.v2._internal.callbacks.user_callback import UserCallbackHandler from ray.train.v2._internal.constants import ( + DEFAULT_RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_VALUE, METRICS_ENABLED_ENV_VAR, get_env_vars_to_propagate, ) @@ -104,9 +107,16 @@ def __init__( if metadata is not None: raise DeprecationWarning(_GET_METADATA_DEPRECATION_MESSAGE) + self._set_default_env_vars() usage_lib.record_library_usage("train") tag_train_v2_trainer(self) + def _set_default_env_vars(self): + if RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR not in os.environ: + os.environ[ + RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR + ] = DEFAULT_RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_VALUE + def _get_train_func(self) -> Callable[[], None]: return construct_train_func( self.train_loop_per_worker, diff --git a/python/ray/train/v2/tests/test_data_parallel_trainer.py b/python/ray/train/v2/tests/test_data_parallel_trainer.py index 007bd1226f23..2d474379284f 100644 --- a/python/ray/train/v2/tests/test_data_parallel_trainer.py +++ b/python/ray/train/v2/tests/test_data_parallel_trainer.py @@ -8,12 +8,16 @@ import pytest import ray +from ray._common.constants import RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR from ray.tests.client_test_utils import create_remote_signal_actor from ray.train import BackendConfig, Checkpoint, RunConfig, ScalingConfig, UserCallback from ray.train.backend import Backend from ray.train.constants import RAY_CHDIR_TO_TRIAL_DIR, _get_ray_train_session_dir from ray.train.tests.util import create_dict_checkpoint -from ray.train.v2._internal.constants import is_v2_enabled +from ray.train.v2._internal.constants import ( + DEFAULT_RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_VALUE, + is_v2_enabled, +) from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer from ray.train.v2.api.exceptions import WorkerGroupError from ray.train.v2.api.result import Result @@ -305,6 +309,20 @@ def test_sigint_abort(ray_start_4_cpus, spam_sigint): process.join() +@pytest.mark.parametrize("env_var_set", [True, False]) +def test_set_default_env_vars(env_var_set, monkeypatch): + if env_var_set: + monkeypatch.setenv(RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR, "1") + DataParallelTrainer(lambda: "not used") + if env_var_set: + assert os.environ[RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR] == "1" + else: + assert ( + os.environ[RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_ENV_VAR] + == DEFAULT_RAY_WARN_BLOCKING_GET_INSIDE_ASYNC_VALUE + ) + + if __name__ == "__main__": import sys From d7a23725158d02407293bf852aef29518b420084 Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Wed, 24 Sep 2025 15:41:30 -0700 Subject: [PATCH 1387/1566] [tune][release] Upgrade tune_torch_benchmark to v2 (#56804) 1. Update to Train V2 Train+Tune integration API. 2. Pass in the TuneReportCallback for the trainer that used in Tune for reported results. 3. Reduced the number of runs / trials to make the test run faster --------- Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- .../workloads/tune_torch_benchmark.py | 50 +++++++++++++++---- release/release_tests.yaml | 8 +-- 2 files changed, 43 insertions(+), 15 deletions(-) diff --git a/release/air_tests/air_benchmarks/workloads/tune_torch_benchmark.py b/release/air_tests/air_benchmarks/workloads/tune_torch_benchmark.py index 0d7b594d1497..555d944c347a 100644 --- a/release/air_tests/air_benchmarks/workloads/tune_torch_benchmark.py +++ b/release/air_tests/air_benchmarks/workloads/tune_torch_benchmark.py @@ -8,8 +8,9 @@ import numpy as np import ray -from ray.train import ScalingConfig +from ray.train import ScalingConfig, RunConfig from ray.train.torch import TorchTrainer +from ray.tune.integration.ray_train import TuneReportCallback CONFIG = {"lr": 1e-3, "batch_size": 64, "epochs": 20} @@ -21,7 +22,7 @@ def prepare_mnist(): print("Preparing Torch benchmark: Downloading MNIST") - @ray.remote + @ray.remote(num_cpus=0) def _download_data(): import torchvision @@ -31,24 +32,24 @@ def _download_data(): ray.get(schedule_remote_fn_on_all_nodes(_download_data)) +def train_loop(config: Dict): + from torch_benchmark import train_func + + train_func(use_ray=True, config=config) + + def get_trainer( num_workers: int = 4, use_gpu: bool = False, config: Optional[Dict] = None, ): """Get the trainer to be used across train and tune to ensure consistency.""" - from torch_benchmark import train_func - - def train_loop(config): - train_func(use_ray=True, config=config) - # We are using STRICT_PACK here to do an apples to apples comparison. # PyTorch defaults to using multithreading, so if the workers are spread, # they are able to utilize more resources. We would effectively be comparing # X tune runs with 2 CPUs per worker vs. 1 tune run with up to 8 CPUs per # worker. Using STRICT_PACK avoids this by forcing all workers to be # co-located. - config = config or CONFIG trainer = TorchTrainer( @@ -57,10 +58,13 @@ def train_loop(config): scaling_config=ScalingConfig( num_workers=num_workers, resources_per_worker={"CPU": 2}, - trainer_resources={"CPU": 0}, use_gpu=use_gpu, placement_strategy="STRICT_PACK", ), + run_config=RunConfig( + name="train_torch_benchmark", + storage_path="/mnt/cluster_storage/ray-train-results", + ), ) return trainer @@ -70,6 +74,27 @@ def train_torch(num_workers: int, use_gpu: bool = False, config: Optional[Dict] trainer.fit() +def train_driver_fn(config: Dict): + + trainer = TorchTrainer( + train_loop_per_worker=train_loop, + train_loop_config=config["train_loop_config"], + run_config=RunConfig( + name="tune_torch_benchmark", + storage_path="/mnt/cluster_storage/ray-tune-results", + callbacks=[TuneReportCallback()], + ), + scaling_config=ScalingConfig( + num_workers=config["num_workers"], + resources_per_worker={"CPU": 2}, + use_gpu=config["use_gpu"], + placement_strategy="STRICT_PACK", + ), + ) + + trainer.fit() + + def tune_torch( num_workers: int = 4, num_trials: int = 8, @@ -90,11 +115,14 @@ def tune_torch( "train_loop_config": { "lr": tune.loguniform(1e-4, 1e-1), }, + "num_workers": num_workers, + "use_gpu": use_gpu, } - trainer = get_trainer(num_workers=num_workers, use_gpu=use_gpu, config=config) + param_space["train_loop_config"].update(config or {}) + tuner = Tuner( - trainable=trainer, + trainable=train_driver_fn, param_space=param_space, tune_config=TuneConfig(mode="min", metric="loss", num_samples=num_trials), ) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index f2771f396389..dd872049f575 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -193,14 +193,14 @@ cluster: byod: type: gpu - cluster_compute: compute_cpu_8_aws.yaml + cluster_compute: compute_cpu_4_aws.yaml run: timeout: 3600 - script: python workloads/tune_torch_benchmark.py --num-runs 3 --num-trials 8 --num-workers 4 + script: RAY_TRAIN_V2_ENABLED=1 python workloads/tune_torch_benchmark.py --num-runs 1 --num-trials 2 --num-workers 2 wait_for_nodes: - num_nodes: 8 + num_nodes: 4 variations: - __suffix__: aws @@ -208,7 +208,7 @@ env: gce frequency: manual cluster: - cluster_compute: compute_cpu_8_gce.yaml + cluster_compute: compute_cpu_4_gce.yaml alert: default From 2bade544f63ce49afa8c6a63fb84fcec3b05fb7c Mon Sep 17 00:00:00 2001 From: Lehui Liu Date: Wed, 24 Sep 2025 15:43:26 -0700 Subject: [PATCH 1388/1566] [train][release] Attach a quick checkpoint when reporting metrics (#56718) In Train V2, Free-floating metrics without corresponding checkpoint are no longer automatically saved, so attach a checkpoint to metrics, so that we can emit some release test metrics such as the local time taken by each train worker. --------- Signed-off-by: Lehui Liu Signed-off-by: Douglas Strodtman --- .../workloads/torch_benchmark.py | 31 +++++++++++++------ release/release_tests.yaml | 2 +- 2 files changed, 22 insertions(+), 11 deletions(-) diff --git a/release/air_tests/air_benchmarks/workloads/torch_benchmark.py b/release/air_tests/air_benchmarks/workloads/torch_benchmark.py index 0ce327cb6e5d..ad237872192d 100644 --- a/release/air_tests/air_benchmarks/workloads/torch_benchmark.py +++ b/release/air_tests/air_benchmarks/workloads/torch_benchmark.py @@ -3,6 +3,7 @@ import time from pathlib import Path from typing import Dict, Tuple +import tempfile import click import numpy as np @@ -205,13 +206,23 @@ def collate_fn(x): local_time_taken = time.monotonic() - local_start_time - if use_ray: - train.report(dict(loss=loss, local_time_taken=local_time_taken)) - else: - print(f"Reporting loss: {loss:.4f}") - if local_rank == 0: - with open(VANILLA_RESULT_JSON, "w") as f: - json.dump({"loss": loss, "local_time_taken": local_time_taken}, f) + if use_ray: + with tempfile.TemporaryDirectory() as temp_checkpoint_dir: + if train.get_context().get_world_rank() == 0: + torch.save( + model.state_dict(), + os.path.join(temp_checkpoint_dir, "model.pt"), + ) + + train.report( + dict(loss=loss, local_time_taken=local_time_taken), + checkpoint=train.Checkpoint.from_directory(temp_checkpoint_dir), + ) + else: + print(f"Reporting loss: {loss:.4f}") + if local_rank == 0: + with open(VANILLA_RESULT_JSON, "w") as f: + json.dump({"loss": loss, "local_time_taken": local_time_taken}, f) def train_torch_ray_air( @@ -222,8 +233,8 @@ def train_torch_ray_air( use_gpu: bool = False, ) -> Tuple[float, float, float]: # This function is kicked off by the main() function and runs a full training - # run using Ray AIR. - from ray.train import ScalingConfig + # run using Ray Train. + from ray.train import ScalingConfig, RunConfig from ray.train.torch import TorchTrainer def train_loop(config): @@ -234,11 +245,11 @@ def train_loop(config): train_loop_per_worker=train_loop, train_loop_config=config, scaling_config=ScalingConfig( - trainer_resources={"CPU": 0}, num_workers=num_workers, resources_per_worker={"CPU": cpus_per_worker}, use_gpu=use_gpu, ), + run_config=RunConfig(storage_path="/mnt/cluster_storage"), ) result = trainer.fit() time_taken = time.monotonic() - start_time diff --git a/release/release_tests.yaml b/release/release_tests.yaml index dd872049f575..f4da3ce7d20c 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -153,7 +153,7 @@ run: timeout: 4800 - script: python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 120 --num-workers 16 --cpus-per-worker 4 --batch-size 1024 --use-gpu + script: RAY_TRAIN_V2_ENABLED=1 python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 120 --num-workers 16 --cpus-per-worker 4 --batch-size 1024 --use-gpu wait_for_nodes: num_nodes: 4 From a3287737272f302d31fe8aacae6c048fbf91eecb Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 24 Sep 2025 19:22:50 -0700 Subject: [PATCH 1389/1566] [release] Merge test init and custom build image init (#56650) Merge the logic to launch release test jobs in `build_pipeline` with `custom_byod_build_init` --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .../custom-image-build-and-test-init.sh | 51 +++++++++ .buildkite/release/test.rayci.yml | 12 -- release/BUILD.bazel | 24 +++- ...tamp => .custom_build_and_test_init.stamp} | 0 release/ray_release/buildkite/step.py | 4 +- .../custom_byod_build_init_helper.py | 2 +- ...py => custom_image_build_and_test_init.py} | 103 ++++++++++++++++-- release/ray_release/tests/sample_tests.yaml | 29 +++++ .../test_custom_image_build_and_test_init.py | 60 ++++++++++ 9 files changed, 257 insertions(+), 28 deletions(-) create mode 100755 .buildkite/release/custom-image-build-and-test-init.sh delete mode 100644 .buildkite/release/test.rayci.yml rename release/ray_release/{.separate_custom_build.stamp => .custom_build_and_test_init.stamp} (100%) rename release/ray_release/scripts/{custom_byod_build_init.py => custom_image_build_and_test_init.py} (50%) create mode 100644 release/ray_release/tests/sample_tests.yaml create mode 100644 release/ray_release/tests/test_custom_image_build_and_test_init.py diff --git a/.buildkite/release/custom-image-build-and-test-init.sh b/.buildkite/release/custom-image-build-and-test-init.sh new file mode 100755 index 000000000000..f4dc6b7d0281 --- /dev/null +++ b/.buildkite/release/custom-image-build-and-test-init.sh @@ -0,0 +1,51 @@ +#!/bin/bash + +set -euo pipefail + +if [[ ${BUILDKITE_COMMIT} == "HEAD" ]]; then + BUILDKITE_COMMIT="$(git rev-parse HEAD)" + export BUILDKITE_COMMIT +fi + +# Get build ID from environment variables +BUILD_ID="${RAYCI_BUILD_ID:-}" + +if [[ -z "${BUILD_ID}" ]]; then + if [[ -n "${BUILDKITE_BUILD_ID:-}" ]]; then + # Generate SHA256 hash of BUILDKITE_BUILD_ID and take first 8 chars + BUILD_ID=$(echo -n "${BUILDKITE_BUILD_ID}" | sha256sum | cut -c1-8) + fi +fi + +export RAYCI_BUILD_ID="${BUILD_ID}" +echo "RAYCI_BUILD_ID: ${RAYCI_BUILD_ID}" + + +aws ecr get-login-password --region us-west-2 | \ + docker login --username AWS --password-stdin 029272617770.dkr.ecr.us-west-2.amazonaws.com + +bash release/gcloud_docker_login.sh release/aws2gce_iam.json +export PATH="${PWD}/google-cloud-sdk/bin:$PATH" + +echo "Generate custom build steps" +echo "Downloading Bazel" +curl -sSfLo /tmp/bazel https://github.com/bazelbuild/bazelisk/releases/download/v1.19.0/bazelisk-linux-amd64 +echo "Making Bazel executable" +chmod +x /tmp/bazel + +if [[ "${AUTOMATIC:-0}" == "1" && "${BUILDKITE_BRANCH}" == "master" ]]; then + export REPORT_TO_RAY_TEST_DB=1 +fi + +RUN_FLAGS=() + +if [[ "${AUTOMATIC:-0}" == "0" || "${BUILDKITE_BRANCH}" == "releases/"* ]]; then + RUN_FLAGS+=(--run-jailed-tests) +fi +if [[ "${BUILDKITE_BRANCH}" != "releases/"* ]]; then + RUN_FLAGS+=(--run-unstable-tests) +fi + +echo "---- Build test steps" +/tmp/bazel run //release:custom_image_build_and_test_init -- "${RUN_FLAGS[@]}" +buildkite-agent pipeline upload .buildkite/release/release_tests.json diff --git a/.buildkite/release/test.rayci.yml b/.buildkite/release/test.rayci.yml deleted file mode 100644 index 6ed07ef2d903..000000000000 --- a/.buildkite/release/test.rayci.yml +++ /dev/null @@ -1,12 +0,0 @@ -group: test init -tags: - - oss -steps: - - label: "test init" - key: test-init - instance_type: release - commands: - - /bin/bash .buildkite/release/test-init.sh - mount_buildkite_agent: true - depends_on: - - forge diff --git a/release/BUILD.bazel b/release/BUILD.bazel index dc1bc5fb3e23..4db65f5dbdfd 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -477,6 +477,26 @@ py_test( ], ) +py_test( + name = "test_custom_image_build_and_test_init", + size = "small", + srcs = ["ray_release/tests/test_custom_image_build_and_test_init.py"], + data = [ + "hello_world_tests/hello_world_compute_config.yaml", + "ray_release/configs/oss_config.yaml", + "ray_release/tests/sample_tests.yaml", + ], + exec_compatible_with = ["//:hermetic_python"], + tags = [ + "release_unit", + "team:ci", + ], + deps = [ + ":ray_release", + bk_require("pytest"), + ], +) + py_test( name = "test_cluster_manager", size = "small", @@ -752,8 +772,8 @@ py_binary( ) py_binary( - name = "custom_byod_build_init", - srcs = ["ray_release/scripts/custom_byod_build_init.py"], + name = "custom_image_build_and_test_init", + srcs = ["ray_release/scripts/custom_image_build_and_test_init.py"], data = glob(["release_*.yaml"]), exec_compatible_with = ["//:hermetic_python"], deps = [ diff --git a/release/ray_release/.separate_custom_build.stamp b/release/ray_release/.custom_build_and_test_init.stamp similarity index 100% rename from release/ray_release/.separate_custom_build.stamp rename to release/ray_release/.custom_build_and_test_init.stamp diff --git a/release/ray_release/buildkite/step.py b/release/ray_release/buildkite/step.py index 096c56358e65..d122b939fe6f 100644 --- a/release/ray_release/buildkite/step.py +++ b/release/ray_release/buildkite/step.py @@ -196,9 +196,7 @@ def get_step( image = test.get_anyscale_byod_image() if test.require_custom_byod_image(): - step["depends_on"] = generate_custom_build_step_key( - test.get_anyscale_byod_image(build_id="") - ) + step["depends_on"] = generate_custom_build_step_key(image) else: step["depends_on"] = get_prerequisite_step(image) diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index cd0a66384680..15feeffcadb7 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -38,7 +38,6 @@ def get_images_from_tests( def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: """Create a yaml file for building custom BYOD images""" - config = get_global_config() if not config or not config.get("byod_ecr_region") or not config.get("byod_ecr"): raise ValueError("byod_ecr_region and byod_ecr must be set in the config") @@ -71,6 +70,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: build_config["steps"].append(step) logger.info(f"Build config: {build_config}") + print("writing to file: ", destination_file) with open(destination_file, "w") as f: yaml.dump(build_config, f, default_flow_style=False, sort_keys=False) diff --git a/release/ray_release/scripts/custom_byod_build_init.py b/release/ray_release/scripts/custom_image_build_and_test_init.py similarity index 50% rename from release/ray_release/scripts/custom_byod_build_init.py rename to release/ray_release/scripts/custom_image_build_and_test_init.py index b9801a593c2d..a0f41e663bbe 100644 --- a/release/ray_release/scripts/custom_byod_build_init.py +++ b/release/ray_release/scripts/custom_image_build_and_test_init.py @@ -2,21 +2,28 @@ from typing import Tuple from pathlib import Path import sys - +import shutil +import json import click -from ray_release.buildkite.filter import filter_tests -from ray_release.buildkite.settings import get_pipeline_settings +from ray_release.buildkite.filter import filter_tests, group_tests +from ray_release.buildkite.settings import ( + get_pipeline_settings, + get_test_filters, + get_frequency, +) from ray_release.config import ( read_and_validate_release_test_collection, RELEASE_TEST_CONFIG_FILES, ) +from ray_release.buildkite.step import get_step_for_test_group from ray_release.configs.global_config import init_global_config from ray_release.exception import ReleaseTestConfigError, ReleaseTestCLIError from ray_release.logger import logger from ray_release.custom_byod_build_init_helper import create_custom_build_yaml _bazel_workspace_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") +PIPELINE_ARTIFACT_PATH = "/tmp/pipeline_artifacts" @click.command( @@ -60,7 +67,23 @@ "--test-filters", default=None, type=str, - help="Test filters by prefix/regex.", + help="Test filters by prefix/regex", +) +@click.option( + "--run-per-test", + default=1, + type=int, + help=("The number of time we run test on the same commit"), +) +@click.option( + "--custom-build-jobs-output-file", + type=str, + help="The output file for the custom build yaml file", +) +@click.option( + "--test-jobs-output-file", + type=str, + help="The output file for the test jobs json file", ) def main( test_collection_file: Tuple[str], @@ -69,29 +92,34 @@ def main( global_config: str = "oss_config.yaml", frequency: str = None, test_filters: str = None, + run_per_test: int = 1, + custom_build_jobs_output_file: str = None, + test_jobs_output_file: str = None, ): global_config_file = os.path.join( os.path.dirname(__file__), "..", "configs", global_config ) init_global_config(global_config_file) settings = get_pipeline_settings() + env = {} - frequency = frequency or settings["frequency"] + frequency = get_frequency(frequency) or settings["frequency"] prefer_smoke_tests = settings["prefer_smoke_tests"] - test_filters = test_filters or settings["test_filters"] + test_filters = get_test_filters(test_filters) or settings["test_filters"] + priority = settings["priority"] try: test_collection = read_and_validate_release_test_collection( test_collection_file or RELEASE_TEST_CONFIG_FILES ) except ReleaseTestConfigError as e: + logger.info("Error: %s", e) raise ReleaseTestConfigError( "Cannot load test yaml file.\nHINT: If you're kicking off tests for a " "specific commit on Buildkite to test Ray wheels, after clicking " "'New build', leave the commit at HEAD, and only specify the commit " "in the dialog that asks for the Ray wheels." ) from e - filtered_tests = filter_tests( test_collection, frequency=frequency, @@ -107,13 +135,68 @@ def main( "not return any tests to run. Adjust your filters." ) tests = [test for test, _ in filtered_tests] + # Generate custom image build steps create_custom_build_yaml( - os.path.join( - _bazel_workspace_dir, ".buildkite/release/custom_byod_build.rayci.yml" - ), + os.path.join(_bazel_workspace_dir, custom_build_jobs_output_file), tests, ) + # Generate test job steps + grouped_tests = group_tests(filtered_tests) + + group_str = "" + for group, tests in grouped_tests.items(): + group_str += f"\n{group}:\n" + for test, smoke in tests: + group_str += f" {test['name']}" + if smoke: + group_str += " [smoke test]" + group_str += "\n" + logger.info(f"Tests to run:\n{group_str}") + + no_concurrency_limit = settings["no_concurrency_limit"] + if no_concurrency_limit: + logger.warning("Concurrency is not limited for this run!") + + if os.environ.get("REPORT_TO_RAY_TEST_DB", False): + env["REPORT_TO_RAY_TEST_DB"] = "1" + + # Pipe through RAYCI_BUILD_ID from the forge step. + # TODO(khluu): convert the steps to rayci steps and stop passing through + # RAYCI_BUILD_ID. + build_id = os.environ.get("RAYCI_BUILD_ID") + if build_id: + env["RAYCI_BUILD_ID"] = build_id + + steps = get_step_for_test_group( + grouped_tests, + minimum_run_per_test=run_per_test, + test_collection_file=test_collection_file, + env=env, + priority=priority.value, + global_config=global_config, + is_concurrency_limit=not no_concurrency_limit, + ) + + if "BUILDKITE" in os.environ: + if os.path.exists(PIPELINE_ARTIFACT_PATH): + shutil.rmtree(PIPELINE_ARTIFACT_PATH) + + os.makedirs(PIPELINE_ARTIFACT_PATH, exist_ok=True, mode=0o755) + + with open(os.path.join(PIPELINE_ARTIFACT_PATH, "pipeline.json"), "wt") as fp: + json.dump(steps, fp) + with open( + os.path.join(_bazel_workspace_dir, test_jobs_output_file), + "wt", + ) as fp: + json.dump(steps, fp) + + settings["frequency"] = settings["frequency"].value + settings["priority"] = settings["priority"].value + with open(os.path.join(PIPELINE_ARTIFACT_PATH, "settings.json"), "wt") as fp: + json.dump(settings, fp) + if __name__ == "__main__": sys.exit(main()) diff --git a/release/ray_release/tests/sample_tests.yaml b/release/ray_release/tests/sample_tests.yaml new file mode 100644 index 000000000000..6a0030099e19 --- /dev/null +++ b/release/ray_release/tests/sample_tests.yaml @@ -0,0 +1,29 @@ +- name: hello_world + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: {} + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws + +- name: hello_world_custom + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: + type: gpu + post_build_script: byod_hello_world.sh + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws diff --git a/release/ray_release/tests/test_custom_image_build_and_test_init.py b/release/ray_release/tests/test_custom_image_build_and_test_init.py new file mode 100644 index 000000000000..119f3084ae74 --- /dev/null +++ b/release/ray_release/tests/test_custom_image_build_and_test_init.py @@ -0,0 +1,60 @@ +import sys +import os +import json +import yaml +import pytest +from unittest.mock import patch + +from click.testing import CliRunner +from ray_release.scripts.custom_image_build_and_test_init import main + +_bazel_workspace_dir = os.environ.get("BUILD_WORKSPACE_DIRECTORY", "") + + +@patch.dict("os.environ", {"BUILDKITE": "1"}) +@patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}) +@patch("ray_release.test.Test.update_from_s3", return_value=None) +@patch("ray_release.test.Test.is_jailed_with_open_issue", return_value=False) +def test_custom_image_build_and_test_init( + mock_update_from_s3, mock_is_jailed_with_open_issue +): + runner = CliRunner() + custom_build_jobs_output_file = "custom_build_jobs.yaml" + test_jobs_output_file = "test_jobs.json" + result = runner.invoke( + main, + [ + "--test-collection-file", + "release/ray_release/tests/sample_tests.yaml", + "--global-config", + "oss_config.yaml", + "--frequency", + "nightly", + "--run-jailed-tests", + "--run-unstable-tests", + "--test-filters", + "prefix:hello_world", + "--custom-build-jobs-output-file", + custom_build_jobs_output_file, + "--test-jobs-output-file", + test_jobs_output_file, + ], + catch_exceptions=False, + ) + with open( + os.path.join(_bazel_workspace_dir, custom_build_jobs_output_file), "r" + ) as f: + custom_build_jobs = yaml.safe_load(f) + assert len(custom_build_jobs["steps"]) == 1 # 1 custom build job + with open(os.path.join(_bazel_workspace_dir, test_jobs_output_file), "r") as f: + test_jobs = json.load(f) + assert len(test_jobs) == 1 # 1 group + assert len(test_jobs[0]["steps"]) == 2 # 2 tests + assert test_jobs[0]["steps"][0]["label"].startswith("hello_world.aws") + assert test_jobs[0]["steps"][1]["label"].startswith("hello_world_custom.aws") + + assert result.exit_code == 0 + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) From 6497a481c732301979e70ea1a182dc4f29d71b17 Mon Sep 17 00:00:00 2001 From: Ricardo Decal Date: Wed, 24 Sep 2025 20:29:54 -0700 Subject: [PATCH 1390/1566] [Minor] Fix typo for GPU direct transfer timeout error (#56914) Signed-off-by: Ricardo Decal Signed-off-by: Douglas Strodtman --- .../ray/experimental/gpu_object_manager/gpu_object_manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index 6fdd22e745e3..e1750242857d 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -152,7 +152,7 @@ def _monitor_failures(self): not_done[0], ref_info_map, TimeoutError( - f"RDT transfer failed after {ray.constants.FETCH_FAIL_TIMEOUT_SECONDS}s." + f"RDT transfer failed after {ray_constants.FETCH_FAIL_TIMEOUT_SECONDS}s." ), ) else: From 1dcefd2eb8c0afe92142c521a2e2fc5d3bd6b561 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Wed, 24 Sep 2025 22:21:30 -0700 Subject: [PATCH 1391/1566] [release] Fix release launching script (#56916) The additional args and a logic to convert frequency into `Frequency` was missing from https://github.com/ray-project/ray/pull/56650 --------- Signed-off-by: kevin Signed-off-by: Douglas Strodtman --- .buildkite/release/custom-image-build-and-test-init.sh | 6 +++++- .../ray_release/scripts/custom_image_build_and_test_init.py | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/.buildkite/release/custom-image-build-and-test-init.sh b/.buildkite/release/custom-image-build-and-test-init.sh index f4dc6b7d0281..b3e0aab35b60 100755 --- a/.buildkite/release/custom-image-build-and-test-init.sh +++ b/.buildkite/release/custom-image-build-and-test-init.sh @@ -47,5 +47,9 @@ if [[ "${BUILDKITE_BRANCH}" != "releases/"* ]]; then fi echo "---- Build test steps" -/tmp/bazel run //release:custom_image_build_and_test_init -- "${RUN_FLAGS[@]}" +/tmp/bazel run //release:custom_image_build_and_test_init\ + -- "${RUN_FLAGS[@]}" \ + --custom-build-jobs-output-file .buildkite/release/custom_build_jobs.yaml \ + --test-jobs-output-file .buildkite/release/release_tests.json \ + buildkite-agent pipeline upload .buildkite/release/release_tests.json diff --git a/release/ray_release/scripts/custom_image_build_and_test_init.py b/release/ray_release/scripts/custom_image_build_and_test_init.py index a0f41e663bbe..ff7afe1075f7 100644 --- a/release/ray_release/scripts/custom_image_build_and_test_init.py +++ b/release/ray_release/scripts/custom_image_build_and_test_init.py @@ -103,7 +103,7 @@ def main( settings = get_pipeline_settings() env = {} - frequency = get_frequency(frequency) or settings["frequency"] + frequency = get_frequency(frequency) if frequency else settings["frequency"] prefer_smoke_tests = settings["prefer_smoke_tests"] test_filters = get_test_filters(test_filters) or settings["test_filters"] priority = settings["priority"] From 97d1941a61c3c0841bb8b5a71259284a0bf35889 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 24 Sep 2025 22:30:54 -0700 Subject: [PATCH 1392/1566] [ci] normalize wanda build / key name (#56908) use dashes instead of underscores Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 841e03386fe4..85795cc56721 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -1,6 +1,6 @@ group: build steps: - - name: wanda_ray_core + - name: ray-core-build label: "wanda: core binary parts py{{matrix}} (x86_64)" wanda: ci/docker/ray-core.wanda.yaml matrix: @@ -14,7 +14,7 @@ steps: ARCH_SUFFIX: "" depends_on: manylinux - - name: wanda_ray_dashboard + - name: ray-dashboard-build label: "wanda: dashboard" wanda: ci/docker/ray-dashboard.wanda.yaml depends_on: manylinux From 9ba96b9cf68ff5c1afc44dbcb8490dfa9973dad2 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Thu, 25 Sep 2025 01:05:42 -0700 Subject: [PATCH 1393/1566] [release] Fix file name for custom image build yaml (#56922) The yaml file is missing `rayci` so it didn't get uploaded by rayci Signed-off-by: Kevin H. Luu Signed-off-by: Douglas Strodtman --- .buildkite/release/custom-image-build-and-test-init.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/release/custom-image-build-and-test-init.sh b/.buildkite/release/custom-image-build-and-test-init.sh index b3e0aab35b60..7dc6914378ff 100755 --- a/.buildkite/release/custom-image-build-and-test-init.sh +++ b/.buildkite/release/custom-image-build-and-test-init.sh @@ -49,7 +49,7 @@ fi echo "---- Build test steps" /tmp/bazel run //release:custom_image_build_and_test_init\ -- "${RUN_FLAGS[@]}" \ - --custom-build-jobs-output-file .buildkite/release/custom_build_jobs.yaml \ + --custom-build-jobs-output-file .buildkite/release/custom_build_jobs.rayci.yaml \ --test-jobs-output-file .buildkite/release/release_tests.json \ buildkite-agent pipeline upload .buildkite/release/release_tests.json From 8a29f31ac909c0c75c52007c2e8d632956dc1650 Mon Sep 17 00:00:00 2001 From: Saihajpreet Singh Date: Thu, 25 Sep 2025 10:24:45 -0400 Subject: [PATCH 1394/1566] Revert "remove anyscale navbar on docs.ray.io" (#56823) Signed-off-by: Douglas Strodtman --- doc/source/_templates/navbar-anyscale.html | 10 ++++++++++ doc/source/conf.py | 1 + 2 files changed, 11 insertions(+) create mode 100644 doc/source/_templates/navbar-anyscale.html diff --git a/doc/source/_templates/navbar-anyscale.html b/doc/source/_templates/navbar-anyscale.html new file mode 100644 index 000000000000..59dde5228d29 --- /dev/null +++ b/doc/source/_templates/navbar-anyscale.html @@ -0,0 +1,10 @@ + +
    + Try Managed Ray +
    +     diff --git a/doc/source/conf.py b/doc/source/conf.py index 02db9e3b801a..3a1531438c18 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -329,6 +329,7 @@ def render_svg_logo(path): "theme-switcher", "version-switcher", "navbar-icon-links", + "navbar-anyscale", ], "navbar_center": ["navbar-links"], "navbar_align": "left", From ed21018900d1f55ef4d750de5f1e788bfd5dbc7f Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Thu, 25 Sep 2025 21:25:00 +0530 Subject: [PATCH 1395/1566] [core] Refactor aggregator agent to support multiple publish destination and richer metrics (#55780) This is the first out of two pr's for supporting sending events from aggregator to GCS. in this pr the existing code is refactored to: - run on the main dashboard agent event loop. - use a custom light weight `MultiConsumerEventBuffer` instead of python `Queue.queue` for buffering and batching `RayEvents` - move publisher logic to a separate module with support to add more publishers in the future Signed-off-by: sampan Signed-off-by: Sampan S Nayak Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 418 ++++-------------- .../dashboard/modules/aggregator/constants.py | 2 + .../aggregator/multi_consumer_event_buffer.py | 175 ++++++++ .../modules/aggregator/publisher/__init__.py | 0 .../publisher/async_publisher_client.py | 127 ++++++ .../modules/aggregator/publisher/configs.py | 24 + .../modules/aggregator/publisher/metrics.py | 53 +++ .../publisher/ray_event_publisher.py | 275 ++++++++++++ .../aggregator/tests/test_aggregator_agent.py | 58 ++- .../tests/test_multi_consumer_event_buffer.py | 239 ++++++++++ .../tests/test_ray_event_publisher.py | 164 +++++++ python/ray/tests/test_metrics_agent.py | 63 ++- 12 files changed, 1254 insertions(+), 344 deletions(-) create mode 100644 python/ray/dashboard/modules/aggregator/constants.py create mode 100644 python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py create mode 100644 python/ray/dashboard/modules/aggregator/publisher/__init__.py create mode 100644 python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py create mode 100644 python/ray/dashboard/modules/aggregator/publisher/configs.py create mode 100644 python/ray/dashboard/modules/aggregator/publisher/metrics.py create mode 100644 python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py create mode 100644 python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py create mode 100644 python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index e5300d30a517..83b0c85807aa 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -1,47 +1,38 @@ import asyncio -import json import logging import os -import queue -import signal -import threading -import time from concurrent.futures import ThreadPoolExecutor -from requests import Session -from requests.adapters import HTTPAdapter -from urllib3.util import Retry - -from ray._private.protobuf_compat import message_to_json - -try: - import prometheus_client - from prometheus_client import Counter -except ImportError: - prometheus_client = None - import ray -import ray.dashboard.consts as dashboard_consts import ray.dashboard.utils as dashboard_utils -from ray._common.utils import get_or_create_event_loop from ray._private import ray_constants +from ray._private.telemetry.open_telemetry_metric_recorder import ( + OpenTelemetryMetricRecorder, +) from ray.core.generated import ( events_base_event_pb2, events_event_aggregator_service_pb2, events_event_aggregator_service_pb2_grpc, ) +from ray.dashboard.modules.aggregator.constants import AGGREGATOR_AGENT_METRIC_PREFIX +from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( + MultiConsumerEventBuffer, +) +from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( + AsyncHttpPublisherClient, +) +from ray.dashboard.modules.aggregator.publisher.ray_event_publisher import ( + NoopPublisher, + RayEventPublisher, +) logger = logging.getLogger(__name__) # Environment variables for the aggregator agent env_var_prefix = "RAY_DASHBOARD_AGGREGATOR_AGENT" -# Max number of threads for the thread pool executor handling gRPC requests -GRPC_TPE_MAX_WORKERS = ray_constants.env_integer( - f"{env_var_prefix}_GRPC_TPE_MAX_WORKERS", 10 -) -# Number of worker threads that publish events to the external service -PUBLISH_EVENT_WORKERS = ray_constants.env_integer( - f"{env_var_prefix}_PUBLISH_EVENT_WORKERS", 1 +# Max number of threads for the thread pool executor handling CPU intensive tasks +THREAD_POOL_EXECUTOR_MAX_WORKERS = ray_constants.env_integer( + f"{env_var_prefix}_THREAD_POOL_EXECUTOR_MAX_WORKERS", 1 ) # Interval to check the main thread liveness CHECK_MAIN_THREAD_LIVENESS_INTERVAL_SECONDS = ray_constants.env_float( @@ -51,28 +42,12 @@ MAX_EVENT_BUFFER_SIZE = ray_constants.env_integer( f"{env_var_prefix}_MAX_EVENT_BUFFER_SIZE", 1000000 ) -# Maximum sleep time between sending batches of events to the external service -MAX_BUFFER_SEND_INTERVAL_SECONDS = ray_constants.env_float( - f"{env_var_prefix}_MAX_BUFFER_SEND_INTERVAL_SECONDS", 0.1 -) -# Maximum number of events to send in a single batch to the external service +# Maximum number of events to send in a single batch to the destination MAX_EVENT_SEND_BATCH_SIZE = ray_constants.env_integer( f"{env_var_prefix}_MAX_EVENT_SEND_BATCH_SIZE", 10000 ) -# Maximum number of retries for sending events to the external service for a single request -REQUEST_BACKOFF_MAX = ray_constants.env_integer( - f"{env_var_prefix}_REQUEST_BACKOFF_MAX", 5 -) -# Backoff factor for the request retries -REQUEST_BACKOFF_FACTOR = ray_constants.env_float( - f"{env_var_prefix}_REQUEST_BACKOFF_FACTOR", 1.0 -) # Address of the external service to send events with format of "http://:" EVENTS_EXPORT_ADDR = os.environ.get(f"{env_var_prefix}_EVENTS_EXPORT_ADDR", "") -# Interval to update metrics -METRICS_UPDATE_INTERVAL_SECONDS = ray_constants.env_float( - f"{env_var_prefix}_METRICS_UPDATE_INTERVAL_SECONDS", 0.1 -) # Event filtering configurations # Comma-separated list of event types that are allowed to be exposed to external services # Valid values: TASK_DEFINITION_EVENT, TASK_EXECUTION_EVENT, ACTOR_TASK_DEFINITION_EVENT, ACTOR_TASK_EXECUTION_EVENT @@ -88,46 +63,10 @@ EXPOSABLE_EVENT_TYPES = os.environ.get( f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES ) - -# Metrics -if prometheus_client: - metrics_prefix = "event_aggregator_agent" - events_received = Counter( - f"{metrics_prefix}_events_received", - "Total number of events received from the upstream components from the " - "AddEvents gRPC call.", - tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), - namespace="ray", - ) - events_failed_to_add_to_aggregator = Counter( - f"{metrics_prefix}_events_failed_to_add_to_aggregator", - "Total number of events failed to add to the event aggregator. The metric " - "counts the events received by the aggregator agent from the AddEvents gRPC " - "call but failed to add to the buffer due to unexpected errors.", - tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), - namespace="ray", - ) - events_dropped_at_event_aggregator = Counter( - f"{metrics_prefix}_events_dropped_at_event_aggregator", - "Total number of events dropped at the event aggregator due to the buffer " - "being full.", - tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), - namespace="ray", - ) - events_published = Counter( - f"{metrics_prefix}_events_published", - "Total number of events successfully published to the external server.", - tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), - namespace="ray", - ) - events_filtered_out = Counter( - f"{metrics_prefix}_events_filtered_out", - "Total number of events filtered out before publishing to external server. The " - "metric counts the events that are received by the aggregator agent but are " - "not part of the public API yet.", - tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), - namespace="ray", - ) +# flag to enable publishing events to the external HTTP service +PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE = ray_constants.env_bool( + f"{env_var_prefix}_PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE", True +) class AggregatorAgent( @@ -144,74 +83,82 @@ def __init__(self, dashboard_agent) -> None: super().__init__(dashboard_agent) self._ip = dashboard_agent.ip self._pid = os.getpid() - self._event_buffer = queue.Queue(maxsize=MAX_EVENT_BUFFER_SIZE) - self._grpc_executor = ThreadPoolExecutor( - max_workers=GRPC_TPE_MAX_WORKERS, - thread_name_prefix="event_aggregator_agent_grpc_executor", - ) - self._http_session = Session() - retries = Retry( - total=REQUEST_BACKOFF_MAX, - backoff_factor=REQUEST_BACKOFF_FACTOR, - status_forcelist=[500, 502, 503, 504], - allowed_methods={"POST"}, - respect_retry_after_header=True, + # common prometheus labels for aggregator-owned metrics + self._common_tags = { + "ip": self._ip, + "pid": str(self._pid), + "Version": ray.__version__, + "Component": "aggregator_agent", + "SessionName": self.session_name, + } + + self._event_buffer = MultiConsumerEventBuffer( + max_size=MAX_EVENT_BUFFER_SIZE, + max_batch_size=MAX_EVENT_SEND_BATCH_SIZE, + common_metric_tags=self._common_tags, + ) + self._executor = ThreadPoolExecutor( + max_workers=THREAD_POOL_EXECUTOR_MAX_WORKERS, + thread_name_prefix="aggregator_agent_executor", ) - self._http_session.mount("http://", HTTPAdapter(max_retries=retries)) - self._http_session.mount("https://", HTTPAdapter(max_retries=retries)) - self._lock = threading.Lock() - self._stop_event = threading.Event() - self._publisher_threads = [] - self._events_received_since_last_metrics_update = 0 - self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 - self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 - self._events_published_since_last_metrics_update = 0 - self._events_filtered_out_since_last_metrics_update = 0 self._events_export_addr = ( dashboard_agent.events_export_addr or EVENTS_EXPORT_ADDR ) - self._event_http_target_enabled = bool(self._events_export_addr) - if not self._event_http_target_enabled: - logger.info( - "Event HTTP target not set, skipping sending events to " - f"external http service. events_export_addr: {self._events_export_addr}" - ) - - self._event_processing_enabled = self._event_http_target_enabled - if self._event_processing_enabled: - logger.info("Event processing enabled") - else: - logger.info("Event processing disabled") - self._exposable_event_types = { event_type.strip() for event_type in EXPOSABLE_EVENT_TYPES.split(",") if event_type.strip() } - self._orig_sigterm_handler = signal.signal( - signal.SIGTERM, self._sigterm_handler - ) + self._event_processing_enabled = False + if PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE and self._events_export_addr: + logger.info( + f"Publishing events to external HTTP service is enabled. events_export_addr: {self._events_export_addr}" + ) + self._event_processing_enabled = True + self._http_endpoint_publisher = RayEventPublisher( + name="http_publisher", + publish_client=AsyncHttpPublisherClient( + endpoint=self._events_export_addr, + executor=self._executor, + events_filter_fn=self._can_expose_event, + ), + event_buffer=self._event_buffer, + common_metric_tags=self._common_tags, + ) + else: + logger.info( + f"Event HTTP target is not enabled or publishing events to external HTTP service is disabled. Skipping sending events to external HTTP service. events_export_addr: {self._events_export_addr}" + ) + self._http_endpoint_publisher = NoopPublisher() - self._is_cleanup = False - self._cleanup_finished_event = threading.Event() + # Metrics + self._open_telemetry_metric_recorder = OpenTelemetryMetricRecorder() - async def AddEvents(self, request, context) -> None: - """ - gRPC handler for adding events to the event aggregator - """ - loop = get_or_create_event_loop() + # Register counter metrics + self._events_received_metric_name = ( + f"{AGGREGATOR_AGENT_METRIC_PREFIX}_events_received_total" + ) + self._open_telemetry_metric_recorder.register_counter_metric( + self._events_received_metric_name, + "Total number of events received via AddEvents gRPC.", + ) - return await loop.run_in_executor( - self._grpc_executor, self._receive_events, request + self._events_failed_to_add_metric_name = ( + f"{AGGREGATOR_AGENT_METRIC_PREFIX}_events_buffer_add_failures_total" + ) + self._open_telemetry_metric_recorder.register_counter_metric( + self._events_failed_to_add_metric_name, + "Total number of events that failed to be added to the event buffer.", ) - def _receive_events(self, request): + async def AddEvents(self, request, context) -> None: """ - Receives events from the request, adds them to the event buffer, + gRPC handler for adding events to the event aggregator. Receives events from the + request and adds them to the event buffer. """ if not self._event_processing_enabled: return events_event_aggregator_service_pb2.AddEventsReply() @@ -221,28 +168,20 @@ def _receive_events(self, request): # downstream events_data = request.events_data for event in events_data.events: - with self._lock: - self._events_received_since_last_metrics_update += 1 + self._open_telemetry_metric_recorder.set_metric_value( + self._events_received_metric_name, self._common_tags, 1 + ) try: - self._event_buffer.put_nowait(event) - except queue.Full: - # Remove the oldest event to make room for the new event. - self._event_buffer.get_nowait() - self._event_buffer.put_nowait(event) - with self._lock: - self._events_dropped_at_event_aggregator_since_last_metrics_update += ( - 1 - ) + await self._event_buffer.add_event(event) except Exception as e: logger.error( f"Failed to add event with id={event.event_id.decode()} to buffer. " "Error: %s", e, ) - with self._lock: - self._events_failed_to_add_to_aggregator_since_last_metrics_update += ( - 1 - ) + self._open_telemetry_metric_recorder.set_metric_value( + self._events_failed_to_add_metric_name, self._common_tags, 1 + ) return events_event_aggregator_service_pb2.AddEventsReply() @@ -255,193 +194,18 @@ def _can_expose_event(self, event) -> bool: in self._exposable_event_types ) - def _send_events_to_external_service(self, event_batch) -> None: - """ - Sends a batch of events to the external service via HTTP POST request - """ - if not event_batch or not self._event_http_target_enabled: - return - - filtered_event_batch = [ - event for event in event_batch if self._can_expose_event(event) - ] - if not filtered_event_batch: - # All events were filtered out, update metrics and return to avoid an empty POST. - with self._lock: - self._events_filtered_out_since_last_metrics_update += len(event_batch) - event_batch.clear() - return - - # Convert protobuf objects to JSON dictionaries for HTTP POST - filtered_event_batch_json = [ - json.loads( - message_to_json(event, always_print_fields_with_no_presence=True) - ) - for event in filtered_event_batch - ] - - try: - response = self._http_session.post( - f"{self._events_export_addr}", json=filtered_event_batch_json - ) - response.raise_for_status() - with self._lock: - self._events_published_since_last_metrics_update += len( - filtered_event_batch - ) - self._events_filtered_out_since_last_metrics_update += len( - event_batch - ) - len(filtered_event_batch) - event_batch.clear() - except Exception as e: - logger.error("Failed to send events to external service. Error: %s", e) - - def _publish_events(self) -> None: - """ - Continuously publishes events from the event buffer to the external service - """ - event_batch = [] - - while True: - while len(event_batch) < MAX_EVENT_SEND_BATCH_SIZE: - try: - event_proto = self._event_buffer.get(block=False) - event_batch.append(event_proto) - except queue.Empty: - break - - if event_batch: - # Send the batch of events to the external service. - # If failed, event_batch will be reused in the next iteration. - # Retry sending with other events in the next iteration. - self._send_events_to_external_service(event_batch) - else: - should_stop = self._stop_event.wait(MAX_BUFFER_SEND_INTERVAL_SECONDS) - if should_stop: - # Send any remaining events before stopping. - self._send_events_to_external_service(event_batch) - return - - def _update_metrics(self) -> None: - """ - Updates the Prometheus metrics - """ - if not prometheus_client: - return - - with self._lock: - _events_received = self._events_received_since_last_metrics_update - _events_failed_to_add_to_aggregator = ( - self._events_failed_to_add_to_aggregator_since_last_metrics_update - ) - _events_dropped_at_event_aggregator = ( - self._events_dropped_at_event_aggregator_since_last_metrics_update - ) - _events_published = self._events_published_since_last_metrics_update - _events_filtered_out = self._events_filtered_out_since_last_metrics_update - - self._events_received_since_last_metrics_update = 0 - self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 - self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 - self._events_published_since_last_metrics_update = 0 - self._events_filtered_out_since_last_metrics_update = 0 - - labels = { - "ip": self._ip, - "pid": self._pid, - "Version": ray.__version__, - "Component": "event_aggregator_agent", - "SessionName": self.session_name, - } - events_received.labels(**labels).inc(_events_received) - events_failed_to_add_to_aggregator.labels(**labels).inc( - _events_failed_to_add_to_aggregator - ) - events_dropped_at_event_aggregator.labels(**labels).inc( - _events_dropped_at_event_aggregator - ) - events_published.labels(**labels).inc(_events_published) - events_filtered_out.labels(**labels).inc(_events_filtered_out) - - def _check_main_thread_liveness(self) -> None: - """ - Continuously checks if the main thread is alive. If the main thread is not alive, - it sets the stop event to trigger cleanup and shutdown of the agent. - """ - while True: - if not threading.main_thread().is_alive(): - self._stop_event.set() - if self._stop_event.is_set(): - self._cleanup() - break - time.sleep(CHECK_MAIN_THREAD_LIVENESS_INTERVAL_SECONDS) - - def _cleanup(self) -> None: - """ - Cleans up the aggregator agent by stopping the publisher threads, - sending any remaining events in the buffer, and updating metrics. - """ - - should_wait_cleanup_finished = False - with self._lock: - if self._is_cleanup: - should_wait_cleanup_finished = True - self._is_cleanup = True - - if should_wait_cleanup_finished: - # If cleanup is already in progress, wait for it to finish. - self._cleanup_finished_event.wait() - return - - # Send any remaining events in the buffer - event_batch = [] - while True: - try: - event_proto = self._event_buffer.get(block=False) - event_batch.append(event_proto) - except: # noqa: E722 - break - - self._send_events_to_external_service(event_batch) - - for thread in self._publisher_threads: - thread.join() - - # Update metrics immediately - self._update_metrics() - - self._cleanup_finished_event.set() - - def _sigterm_handler(self, signum: int, frame) -> None: - self._stop_event.set() - self._cleanup() - self._orig_sigterm_handler(signum, frame) - async def run(self, server) -> None: if server: events_event_aggregator_service_pb2_grpc.add_EventAggregatorServiceServicer_to_server( self, server ) - thread = threading.Thread( - target=self._check_main_thread_liveness, - name="event_aggregator_agent_check_main_thread_liveness", - daemon=False, - ) - thread.start() - - for _ in range(PUBLISH_EVENT_WORKERS): - thread = threading.Thread( - target=self._publish_events, - name="event_aggregator_agent_publish_events", - daemon=False, + try: + await asyncio.gather( + self._http_endpoint_publisher.run_forever(), ) - self._publisher_threads.append(thread) - thread.start() - - while True: - self._update_metrics() - await asyncio.sleep(METRICS_UPDATE_INTERVAL_SECONDS) + finally: + self._executor.shutdown() @staticmethod def is_minimal_module() -> bool: diff --git a/python/ray/dashboard/modules/aggregator/constants.py b/python/ray/dashboard/modules/aggregator/constants.py new file mode 100644 index 000000000000..0a0602800b91 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/constants.py @@ -0,0 +1,2 @@ +AGGREGATOR_AGENT_METRIC_PREFIX = "aggregator_agent" +CONSUMER_TAG_KEY = "consumer" diff --git a/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py b/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py new file mode 100644 index 000000000000..2ff960edbd70 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py @@ -0,0 +1,175 @@ +import asyncio +import time +from collections import deque +from dataclasses import dataclass +from typing import Dict, List, Optional + +from ray._private.telemetry.open_telemetry_metric_recorder import ( + OpenTelemetryMetricRecorder, +) +from ray.core.generated import ( + events_base_event_pb2, +) +from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.dashboard.modules.aggregator.constants import ( + AGGREGATOR_AGENT_METRIC_PREFIX, + CONSUMER_TAG_KEY, +) + + +@dataclass +class _ConsumerState: + # Index of the next event to be consumed by this consumer + cursor_index: int + + +class MultiConsumerEventBuffer: + """A buffer which allows adding one event at a time and consuming events in batches. + Supports multiple consumers, each with their own cursor index. Tracks the number of events evicted for each consumer. + + Buffer is not thread-safe but is asyncio-friendly. All operations must be called from within the same event loop. + + Arguments: + max_size: Maximum number of events to store in the buffer. + max_batch_size: Maximum number of events to return in a batch when calling wait_for_batch. + common_metric_tags: Tags to add to all metrics. + """ + + def __init__( + self, + max_size: int, + max_batch_size: int, + common_metric_tags: Optional[Dict[str, str]] = None, + ): + self._buffer = deque(maxlen=max_size) + self._max_size = max_size + self._lock = asyncio.Lock() + self._has_new_events_to_consume = asyncio.Condition(self._lock) + self._consumers: Dict[str, _ConsumerState] = {} + + self._max_batch_size = max_batch_size + + self._common_metrics_tags = common_metric_tags or {} + self._metric_recorder = OpenTelemetryMetricRecorder() + self.evicted_events_metric_name = ( + f"{AGGREGATOR_AGENT_METRIC_PREFIX}_queue_dropped_events" + ) + self._metric_recorder.register_counter_metric( + self.evicted_events_metric_name, + "Total number of events dropped because the publish/buffer queue was full.", + ) + + async def add_event(self, event: events_base_event_pb2.RayEvent) -> None: + """Add an event to the buffer. + + If the buffer is full, the oldest event is dropped. + """ + async with self._lock: + dropped_event = None + if len(self._buffer) >= self._max_size: + dropped_event = self._buffer.popleft() + self._buffer.append(event) + + if dropped_event is not None: + for consumer_name, consumer_state in self._consumers.items(): + # Update consumer cursor index and evicted events metric if an event was dropped + if consumer_state.cursor_index == 0: + # The dropped event was the next event this consumer would have consumed, publish eviction metric + self._metric_recorder.set_metric_value( + self.evicted_events_metric_name, + { + **self._common_metrics_tags, + CONSUMER_TAG_KEY: consumer_name, + "event_type": RayEvent.EventType.Name( + dropped_event.event_type + ), + }, + 1, + ) + else: + # The dropped event was already consumed by the consumer, so we need to adjust the cursor + consumer_state.cursor_index -= 1 + + # Signal the consumers that there are new events to consume + self._has_new_events_to_consume.notify_all() + + async def wait_for_batch( + self, consumer_name: str, timeout_seconds: float = 1.0 + ) -> List[events_base_event_pb2.RayEvent]: + """Wait for batch respecting self.max_batch_size and timeout_seconds. + + Returns a batch of up to self.max_batch_size items. Waits for up to + timeout_seconds after receiving the first event that will be in + the next batch. After the timeout, returns as many items as are ready. + + Always returns a batch with at least one item - will block + indefinitely until an item comes in. + + Arguments: + consumer_name: name of the consumer consuming the batch + timeout_seconds: maximum time to wait for a batch + + Returns: + A list of up to max_batch_size events ready for consumption. + The list always contains at least one event. + """ + max_batch = self._max_batch_size + batch = [] + async with self._has_new_events_to_consume: + consumer_state = self._consumers.get(consumer_name) + if consumer_state is None: + raise KeyError(f"unknown consumer '{consumer_name}'") + + # Phase 1: read the first event, wait indefinitely until there is at least one event to consume + while consumer_state.cursor_index >= len(self._buffer): + await self._has_new_events_to_consume.wait() + + # Add the first event to the batch + event = self._buffer[consumer_state.cursor_index] + consumer_state.cursor_index += 1 + batch.append(event) + + # Phase 2: add items to the batch up to timeout or until full + deadline = time.monotonic() + max(0.0, float(timeout_seconds)) + while len(batch) < max_batch: + remaining = deadline - time.monotonic() + if remaining <= 0: + break + + # Drain whatever is available + while len(batch) < max_batch and consumer_state.cursor_index < len( + self._buffer + ): + batch.append(self._buffer[consumer_state.cursor_index]) + consumer_state.cursor_index += 1 + + if len(batch) >= max_batch: + break + + # There is still room in the batch, but no new events to consume; wait until notified or timeout + try: + await asyncio.wait_for( + self._has_new_events_to_consume.wait(), remaining + ) + except asyncio.TimeoutError: + # Timeout, return the current batch + break + + return batch + + async def register_consumer(self, consumer_name: str) -> None: + """Register a new consumer with a name. + + Arguments: + consumer_name: A unique name for the consumer. + + """ + async with self._lock: + if self._consumers.get(consumer_name) is not None: + raise ValueError(f"consumer '{consumer_name}' already registered") + + self._consumers[consumer_name] = _ConsumerState(cursor_index=0) + + async def size(self) -> int: + """Get total number of events in the buffer. Does not take consumer cursors into account.""" + return len(self._buffer) diff --git a/python/ray/dashboard/modules/aggregator/publisher/__init__.py b/python/ray/dashboard/modules/aggregator/publisher/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py b/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py new file mode 100644 index 000000000000..15fd7382d4f1 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py @@ -0,0 +1,127 @@ +import json +import logging +from abc import ABC, abstractmethod +from concurrent.futures import ThreadPoolExecutor +from dataclasses import dataclass +from typing import Callable + +import aiohttp + +from ray._common.utils import get_or_create_event_loop +from ray._private.protobuf_compat import message_to_json +from ray.core.generated import events_base_event_pb2 +from ray.dashboard.modules.aggregator.publisher.configs import PUBLISHER_TIMEOUT_SECONDS + +logger = logging.getLogger(__name__) + + +@dataclass +class PublishStats: + """Data class that represents stats of publishing a batch of events.""" + + # Whether the publish was successful + is_publish_successful: bool + # Number of events published + num_events_published: int + # Number of events filtered out + num_events_filtered_out: int + + +@dataclass +class PublishBatch: + """Data class that represents a batch of events to publish.""" + + # The list of events to publish + events: list[events_base_event_pb2.RayEvent] + + +class PublisherClientInterface(ABC): + """Abstract interface for publishing Ray event batches to external destinations. + + Implementations should handle the actual publishing logic, filtering, + and format conversion appropriate for their specific destination type. + """ + + def count_num_events_in_batch(self, batch: PublishBatch) -> int: + """Count the number of events in a given batch.""" + return len(batch.events) + + @abstractmethod + async def publish(self, batch: PublishBatch) -> PublishStats: + """Publish a batch of events to the destination.""" + pass + + @abstractmethod + async def close(self) -> None: + """Clean up any resources used by this client. Should be called when the publisherClient is no longer required""" + pass + + +class AsyncHttpPublisherClient(PublisherClientInterface): + """Client for publishing ray event batches to an external HTTP service.""" + + def __init__( + self, + endpoint: str, + executor: ThreadPoolExecutor, + events_filter_fn: Callable[[object], bool], + timeout: float = PUBLISHER_TIMEOUT_SECONDS, + ) -> None: + self._endpoint = endpoint + self._executor = executor + self._events_filter_fn = events_filter_fn + self._timeout = aiohttp.ClientTimeout(total=timeout) + self._session = None + + async def publish(self, batch: PublishBatch) -> PublishStats: + events_batch: list[events_base_event_pb2.RayEvent] = batch.events + if not events_batch: + # Nothing to publish -> success but nothing published + return PublishStats(True, 0, 0) + filtered = [e for e in events_batch if self._events_filter_fn(e)] + num_filtered_out = len(events_batch) - len(filtered) + if not filtered: + # All filtered out -> success but nothing published + return PublishStats(True, 0, num_filtered_out) + + # Convert protobuf objects to python dictionaries for HTTP POST. Run in executor to avoid blocking the event loop. + filtered_json = await get_or_create_event_loop().run_in_executor( + self._executor, + lambda: [ + json.loads( + message_to_json(e, always_print_fields_with_no_presence=True) + ) + for e in filtered + ], + ) + + try: + # Create session on first use (lazy initialization) + if not self._session: + self._session = aiohttp.ClientSession(timeout=self._timeout) + + return await self._send_http_request(filtered_json, num_filtered_out) + except Exception as e: + logger.error("Failed to send events to external service. Error: %s", e) + return PublishStats(False, 0, 0) + + async def _send_http_request(self, json_data, num_filtered_out) -> PublishStats: + async with self._session.post( + self._endpoint, + json=json_data, + ) as resp: + resp.raise_for_status() + return PublishStats(True, len(json_data), num_filtered_out) + + async def close(self) -> None: + """Closes the http session if one was created. Should be called when the publisherClient is no longer required""" + if self._session: + await self._session.close() + self._session = None + + def set_session(self, session) -> None: + """Inject an HTTP client session. + + If a session is set explicitly, it will be used and managed by close(). + """ + self._session = session diff --git a/python/ray/dashboard/modules/aggregator/publisher/configs.py b/python/ray/dashboard/modules/aggregator/publisher/configs.py new file mode 100644 index 000000000000..3e2c048389cb --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/publisher/configs.py @@ -0,0 +1,24 @@ +# Environment variables for the aggregator agent publisher component. +from ray._private import ray_constants + +env_var_prefix = "RAY_DASHBOARD_AGGREGATOR_AGENT_PUBLISHER" +# Timeout for the publisher to publish events to the destination +PUBLISHER_TIMEOUT_SECONDS = ray_constants.env_integer( + f"{env_var_prefix}_TIMEOUT_SECONDS", 3 +) +# Maximum number of retries for publishing events to the destination, if less than 0, will retry indefinitely +PUBLISHER_MAX_RETRIES = ray_constants.env_integer(f"{env_var_prefix}_MAX_RETRIES", -1) +# Initial backoff time for publishing events to the destination +PUBLISHER_INITIAL_BACKOFF_SECONDS = ray_constants.env_float( + f"{env_var_prefix}_INITIAL_BACKOFF_SECONDS", 0.01 +) +# Maximum backoff time for publishing events to the destination +PUBLISHER_MAX_BACKOFF_SECONDS = ray_constants.env_float( + f"{env_var_prefix}_MAX_BACKOFF_SECONDS", 5.0 +) +# Jitter ratio for publishing events to the destination +PUBLISHER_JITTER_RATIO = ray_constants.env_float(f"{env_var_prefix}_JITTER_RATIO", 0.1) +# Maximum sleep time between sending batches of events to the destination, should be greater than 0.0 to avoid busy looping +PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS = ray_constants.env_float( + f"{env_var_prefix}_MAX_BUFFER_SEND_INTERVAL_SECONDS", 1 +) diff --git a/python/ray/dashboard/modules/aggregator/publisher/metrics.py b/python/ray/dashboard/modules/aggregator/publisher/metrics.py new file mode 100644 index 000000000000..786a0081d510 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/publisher/metrics.py @@ -0,0 +1,53 @@ +from ray._private.telemetry.open_telemetry_metric_recorder import ( + OpenTelemetryMetricRecorder, +) +from ray.dashboard.modules.aggregator.constants import ( + AGGREGATOR_AGENT_METRIC_PREFIX, +) + +# OpenTelemetry metrics setup (registered once at import time) +metric_recorder = OpenTelemetryMetricRecorder() + +# Counter metrics +published_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_published_events" +metric_recorder.register_counter_metric( + published_counter_name, + "Total number of events successfully published to the destination.", +) + +filtered_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_filtered_events" +metric_recorder.register_counter_metric( + filtered_counter_name, + "Total number of events filtered out before publishing to the destination.", +) + +failed_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_publish_failures" +metric_recorder.register_counter_metric( + failed_counter_name, + "Total number of events that failed to publish after retries.", +) + +# Histogram metric +publish_latency_hist_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_publish_latency_seconds" +metric_recorder.register_histogram_metric( + publish_latency_hist_name, + "Duration of publish calls in seconds.", + [0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2, 5], +) + +# Gauge metrics +consecutive_failures_gauge_name = ( + f"{AGGREGATOR_AGENT_METRIC_PREFIX}_consecutive_failures_since_last_success" +) +metric_recorder.register_gauge_metric( + consecutive_failures_gauge_name, + "Number of consecutive failed publish attempts since the last success.", +) + +time_since_last_success_gauge_name = ( + f"{AGGREGATOR_AGENT_METRIC_PREFIX}_time_since_last_success_seconds" +) +metric_recorder.register_gauge_metric( + time_since_last_success_gauge_name, + "Seconds since the last successful publish to the destination.", +) diff --git a/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py b/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py new file mode 100644 index 000000000000..997c3f2cb0d7 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py @@ -0,0 +1,275 @@ +import asyncio +import logging +import random +from abc import ABC, abstractmethod +from typing import Dict, Optional + +from ray.dashboard.modules.aggregator.constants import ( + CONSUMER_TAG_KEY, +) +from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( + MultiConsumerEventBuffer, +) +from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( + PublishBatch, + PublisherClientInterface, +) +from ray.dashboard.modules.aggregator.publisher.configs import ( + PUBLISHER_INITIAL_BACKOFF_SECONDS, + PUBLISHER_JITTER_RATIO, + PUBLISHER_MAX_BACKOFF_SECONDS, + PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, + PUBLISHER_MAX_RETRIES, +) +from ray.dashboard.modules.aggregator.publisher.metrics import ( + consecutive_failures_gauge_name, + failed_counter_name, + filtered_counter_name, + metric_recorder, + publish_latency_hist_name, + published_counter_name, + time_since_last_success_gauge_name, +) + +logger = logging.getLogger(__name__) + + +class RayEventPublisherInterface(ABC): + """Abstract interface for publishing Ray event batches to external destinations.""" + + @abstractmethod + async def run_forever(self) -> None: + """Run the publisher forever until cancellation or process death.""" + pass + + @abstractmethod + async def wait_until_running(self, timeout: Optional[float] = None) -> bool: + """Wait until the publisher has started.""" + pass + + +class RayEventPublisher(RayEventPublisherInterface): + """RayEvents publisher that publishes batches of events to a destination by running a worker loop. + + The worker loop continuously pulls batches from the event buffer and publishes them to the destination. + """ + + def __init__( + self, + name: str, + publish_client: PublisherClientInterface, + event_buffer: MultiConsumerEventBuffer, + common_metric_tags: Optional[Dict[str, str]] = None, + max_retries: int = PUBLISHER_MAX_RETRIES, + initial_backoff: float = PUBLISHER_INITIAL_BACKOFF_SECONDS, + max_backoff: float = PUBLISHER_MAX_BACKOFF_SECONDS, + jitter_ratio: float = PUBLISHER_JITTER_RATIO, + ) -> None: + """Initialize a RayEventsPublisher. + + Args: + name: Name identifier for this publisher instance + publish_client: Client for publishing events to the destination + event_buffer: Buffer for reading batches of events + common_metric_tags: Common labels for all prometheus metrics + max_retries: Maximum number of retries for failed publishes + initial_backoff: Initial backoff time between retries in seconds + max_backoff: Maximum backoff time between retries in seconds + jitter_ratio: Random jitter ratio to add to backoff times + """ + self._name = name + self._common_metric_tags = dict(common_metric_tags or {}) + self._common_metric_tags[CONSUMER_TAG_KEY] = name + self._max_retries = int(max_retries) + self._initial_backoff = float(initial_backoff) + self._max_backoff = float(max_backoff) + self._jitter_ratio = float(jitter_ratio) + self._publish_client = publish_client + self._event_buffer = event_buffer + + # Event set once the publisher has registered as a consumer and is ready to publish events + self._started_event: asyncio.Event = asyncio.Event() + + async def run_forever(self) -> None: + """Run the publisher forever until cancellation or process death. + + Registers as a consumer, starts the worker loop, and handles cleanup on cancellation. + """ + await self._event_buffer.register_consumer(self._name) + + # Signal that the publisher is ready to publish events + self._started_event.set() + + try: + logger.info(f"Starting publisher {self._name}") + while True: + batch = await self._event_buffer.wait_for_batch( + self._name, + PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, + ) + publish_batch = PublishBatch(events=batch) + await self._async_publish_with_retries(publish_batch) + except asyncio.CancelledError: + logger.info(f"Publisher {self._name} cancelled, shutting down gracefully") + self._started_event.clear() + await self._publish_client.close() + raise + except Exception as e: + logger.error(f"Publisher {self._name} encountered error: {e}") + self._started_event.clear() + await self._publish_client.close() + raise + + async def wait_until_running(self, timeout: Optional[float] = None) -> bool: + """Wait until the publisher has started. + + Args: + timeout: Maximum time to wait in seconds. If None, waits indefinitely. + + Returns: + True if the publisher started before the timeout, False otherwise. + If timeout is None, waits indefinitely. + """ + if timeout is None: + await self._started_event.wait() + return True + try: + await asyncio.wait_for(self._started_event.wait(), timeout) + return True + except asyncio.TimeoutError: + return False + + async def _async_publish_with_retries(self, batch) -> None: + """Attempts to publish a batch with retries. + + Will retry failed publishes up to max_retries times with increasing delays. + """ + num_events_in_batch = self._publish_client.count_num_events_in_batch(batch) + failed_attempts_since_last_success = 0 + while True: + start = asyncio.get_running_loop().time() + result = await self._publish_client.publish(batch) + duration = asyncio.get_running_loop().time() - start + + if result.is_publish_successful: + await self._record_success( + num_published=int(result.num_events_published), + num_filtered=int(result.num_events_filtered_out), + duration=float(duration), + ) + failed_attempts_since_last_success = 0 + return + + # Failed attempt + # case 1: if max retries are exhausted mark as failed and break out, retry indefinitely if max_retries is less than 0 + if ( + self._max_retries >= 0 + and failed_attempts_since_last_success >= self._max_retries + ): + await self._record_final_failure( + num_failed_events=int(num_events_in_batch), + duration=float(duration), + ) + return + + # case 2: max retries not exhausted, increment failed attempts counter and add latency to failure list, retry publishing batch with backoff + failed_attempts_since_last_success += 1 + await self._record_retry_failure( + duration=float(duration), + failed_attempts=int(failed_attempts_since_last_success), + ) + + await self._async_sleep_with_backoff(failed_attempts_since_last_success) + + async def _async_sleep_with_backoff(self, attempt: int) -> None: + """Sleep with exponential backoff and optional jitter. + + Args: + attempt: The current attempt number (0-based) + """ + delay = min( + self._max_backoff, + self._initial_backoff * (2**attempt), + ) + if self._jitter_ratio > 0: + jitter = delay * self._jitter_ratio + delay = max(0.0, random.uniform(delay - jitter, delay + jitter)) + await asyncio.sleep(delay) + + async def _record_success( + self, num_published: int, num_filtered: int, duration: float + ) -> None: + """Update in-memory stats and Prometheus metrics for a successful publish.""" + if num_published > 0: + metric_recorder.set_metric_value( + published_counter_name, + self._common_metric_tags, + int(num_published), + ) + if num_filtered > 0: + metric_recorder.set_metric_value( + filtered_counter_name, self._common_metric_tags, int(num_filtered) + ) + metric_recorder.set_metric_value( + consecutive_failures_gauge_name, self._common_metric_tags, 0 + ) + metric_recorder.set_metric_value( + time_since_last_success_gauge_name, self._common_metric_tags, 0 + ) + metric_recorder.set_metric_value( + publish_latency_hist_name, + {**self._common_metric_tags, "Outcome": "success"}, + float(duration), + ) + + async def _record_retry_failure( + self, duration: float, failed_attempts: int + ) -> None: + """Update Prometheus metrics for a retryable failure attempt.""" + metric_recorder.set_metric_value( + consecutive_failures_gauge_name, + self._common_metric_tags, + int(failed_attempts), + ) + metric_recorder.set_metric_value( + publish_latency_hist_name, + {**self._common_metric_tags, "Outcome": "failure"}, + float(duration), + ) + + async def _record_final_failure( + self, num_failed_events: int, duration: float + ) -> None: + """Update in-memory stats and Prometheus metrics for a final (non-retryable) failure.""" + if num_failed_events > 0: + metric_recorder.set_metric_value( + failed_counter_name, + self._common_metric_tags, + int(num_failed_events), + ) + metric_recorder.set_metric_value( + consecutive_failures_gauge_name, self._common_metric_tags, 0 + ) + metric_recorder.set_metric_value( + publish_latency_hist_name, + {**self._common_metric_tags, "Outcome": "failure"}, + float(duration), + ) + + +class NoopPublisher(RayEventPublisherInterface): + """A no-op publisher that adheres to the minimal interface used by AggregatorAgent. + + Used when a destination is disabled. It runs forever but does nothing. + """ + + async def run_forever(self) -> None: + """Run forever doing nothing until cancellation.""" + try: + await asyncio.Event().wait() + except asyncio.CancelledError: + logger.info("NoopPublisher cancelled") + raise + + async def wait_until_running(self, timeout: Optional[float] = None) -> bool: + return True diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 49de7042ca75..17294c0b1ed8 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -47,6 +47,9 @@ from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents from ray.core.generated.profile_events_pb2 import ProfileEventEntry, ProfileEvents from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent +from ray.dashboard.modules.aggregator.publisher.configs import ( + PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, +) from ray.dashboard.tests.conftest import * # noqa _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() @@ -125,8 +128,9 @@ def test_aggregator_agent_http_target_not_enabled( ): dashboard_agent = MagicMock() dashboard_agent.events_export_addr = export_addr + dashboard_agent.session_name = "test_session" + dashboard_agent.ip = "127.0.0.1" agent = AggregatorAgent(dashboard_agent) - assert agent._event_http_target_enabled == expected_http_target_enabled assert agent._event_processing_enabled == expected_event_processing_enabled @@ -836,5 +840,57 @@ def test_aggregator_agent_receive_driver_job_lifecycle_event( ) +@pytest.mark.parametrize( + "ray_start_cluster_head_with_env_vars", + [ + { + "env_vars": { + "RAY_DASHBOARD_AGGREGATOR_AGENT_PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE": "False", + "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, + }, + }, + ], + indirect=True, +) +def test_aggregator_agent_http_svc_publish_disabled( + ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp +): + cluster = ray_start_cluster_head_with_env_vars + stub = get_event_aggregator_grpc_stub( + cluster.gcs_address, cluster.head_node.node_id + ) + + request = AddEventsRequest( + events_data=RayEventsData( + events=[ + RayEvent( + event_id=b"10", + source_type=RayEvent.SourceType.CORE_WORKER, + event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=fake_timestamp[0], + severity=RayEvent.Severity.INFO, + message="should not be sent", + ), + ], + task_events_metadata=TaskEventsMetadata( + dropped_task_attempts=[], + ), + ) + ) + + stub.AddEvents(request) + + with pytest.raises( + RuntimeError, match="The condition wasn't met before the timeout expired." + ): + # Wait for up to 2 seconds (publish interval + 1second buffer) to ensure that the event is never published to the external HTTP service + wait_for_condition( + lambda: len(httpserver.log) > 0, + 1 + PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, + ) + + assert len(httpserver.log) == 0 + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py b/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py new file mode 100644 index 000000000000..0f2d0650c948 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py @@ -0,0 +1,239 @@ +import asyncio +import random +import sys + +import pytest +from google.protobuf.timestamp_pb2 import Timestamp + +from ray.core.generated.events_base_event_pb2 import RayEvent +from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( + MultiConsumerEventBuffer, +) + + +def _create_test_event( + event_id: bytes = b"test", + event_type_enum=RayEvent.EventType.TASK_DEFINITION_EVENT, + message: str = "test message", +): + """Helper function to create a test RayEvent.""" + event = RayEvent() + event.event_id = event_id + event.source_type = RayEvent.SourceType.CORE_WORKER + event.event_type = event_type_enum + event.severity = RayEvent.Severity.INFO + event.message = message + event.session_name = "test_session" + + # Set timestamp + timestamp = Timestamp() + timestamp.GetCurrentTime() + event.timestamp.CopyFrom(timestamp) + + return event + + +class TestMultiConsumerEventBuffer: + @pytest.mark.asyncio + async def test_add_and_consume_event_basic(self): + """Test basic event addition.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + assert await buffer.size() == 0 + + event = _create_test_event(b"event1") + await buffer.add_event(event) + + assert await buffer.size() == 1 + + batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0) + assert len(batch) == 1 + assert batch[0] == event + + @pytest.mark.asyncio + async def test_add_event_buffer_overflow(self): + """Test buffer overflow behavior and eviction logic.""" + buffer = MultiConsumerEventBuffer(max_size=3, max_batch_size=2) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + + # Add events to fill buffer + events = [] + event_types = [ + RayEvent.EventType.TASK_DEFINITION_EVENT, + RayEvent.EventType.TASK_EXECUTION_EVENT, + RayEvent.EventType.ACTOR_TASK_DEFINITION_EVENT, + ] + for i in range(3): + event = _create_test_event(f"event{i}".encode(), event_types[i]) + events.append(event) + await buffer.add_event(event) + + assert await buffer.size() == 3 + + # Add one more event to trigger eviction + overflow_event = _create_test_event( + b"overflow", RayEvent.EventType.TASK_PROFILE_EVENT + ) + await buffer.add_event(overflow_event) + + assert await buffer.size() == 3 # Still max size + + @pytest.mark.asyncio + async def test_wait_for_batch_multiple_events(self): + """Test waiting for batch when multiple events are immediately available and when when not all events are available.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=3) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + + # Add multiple events + events = [] + for i in range(5): + event = _create_test_event(f"event{i}".encode()) + events.append(event) + await buffer.add_event(event) + + # Should get max_batch_size events immediately + batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) + assert len(batch) == 3 # max_batch_size + assert batch == events[:3] + # should now get the leftover events (< max_batch_size) + batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) + assert len(batch) == 2 + assert batch == events[3:] + + @pytest.mark.asyncio + async def test_wait_for_batch_unknown_consumer(self): + """Test error handling for unknown consumer.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) + + with pytest.raises(KeyError, match="unknown consumer"): + await buffer.wait_for_batch("nonexistent_consumer", timeout_seconds=0) + + @pytest.mark.asyncio + async def test_register_consumer_duplicate(self): + """Test error handling for duplicate consumer registration.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + with pytest.raises( + ValueError, match="consumer 'test_consumer' already registered" + ): + await buffer.register_consumer(consumer_name) + + @pytest.mark.asyncio + async def test_multiple_consumers_independent_cursors(self): + """Test that multiple consumers have independent cursors.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=2) + consumer_name_1 = "test_consumer_1" + consumer_name_2 = "test_consumer_2" + await buffer.register_consumer(consumer_name_1) + await buffer.register_consumer(consumer_name_2) + + # Add events + events = [] + for i in range(10): + event = _create_test_event(f"event{i}".encode()) + events.append(event) + await buffer.add_event(event) + + # Consumer 1 reads first batch + batch1 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) + assert batch1 == events[:2] + + # Consumer 2 reads from beginning + batch2 = await buffer.wait_for_batch(consumer_name_2, timeout_seconds=0.1) + assert batch2 == events[:2] + + # consumer 1 reads another batch + batch3 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) + assert batch3 == events[2:4] + + # more events are added leading to events not consumed by consumer 2 getting evicted + # 4 events get evicted, consumer 1 has processed all 4 evicted events previously + # but consumer 2 has only processed 2 out of the 4 evicted events + for i in range(4): + event = _create_test_event(f"event{i + 10}".encode()) + events.append(event) + await buffer.add_event(event) + + # Just ensure buffer remains at max size + assert await buffer.size() == 10 + + # consumer 1 will read the next 2 events, not affected by the evictions + # consumer 1's cursor is adjusted internally to account for the evicted events + batch4 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) + assert batch4 == events[4:6] + + # consumer 2 will read 2 events, skipping the evicted events + batch5 = await buffer.wait_for_batch(consumer_name_2, timeout_seconds=0.1) + assert batch5 == events[4:6] # events[2:4] are lost + + @pytest.mark.asyncio + async def test_wait_for_batch_blocks_until_event_available(self): + """Test that wait_for_batch blocks until at least one event is available.""" + buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + + # Start waiting for batch (should block) + async def wait_for_batch(): + return await buffer.wait_for_batch(consumer_name, timeout_seconds=2.0) + + wait_task = asyncio.create_task(wait_for_batch()) + + # Wait a bit to ensure the task is waiting + await asyncio.sleep(4.0) + assert not wait_task.done() + + # Add an event + event = _create_test_event(b"event1") + await buffer.add_event(event) + + # Now the task should complete + batch = await wait_task + assert len(batch) == 1 + assert batch[0] == event + + @pytest.mark.asyncio + async def test_concurrent_producer_consumer_random_sleeps_with_overall_timeout( + self, + ): + """Producer with random sleeps and consumer reading until all events are received. + + Uses an overall asyncio timeout to ensure the test fails if it hangs + before consuming all events. + """ + total_events = 40 + max_batch_size = 2 + buffer = MultiConsumerEventBuffer(max_size=100, max_batch_size=max_batch_size) + consumer_name = "test_consumer" + await buffer.register_consumer(consumer_name) + + produced_events = [] + consumed_events = [] + + random.seed(0) + + async def producer(): + for i in range(total_events): + event = _create_test_event(f"e{i}".encode()) + produced_events.append(event) + await buffer.add_event(event) + await asyncio.sleep(random.uniform(0.0, 0.02)) + + async def consumer(): + while len(consumed_events) < total_events: + batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) + consumed_events.extend(batch) + + # The test should fail if this times out before all events are consumed + await asyncio.wait_for(asyncio.gather(producer(), consumer()), timeout=5.0) + + assert len(consumed_events) == total_events + assert consumed_events == produced_events + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py new file mode 100644 index 000000000000..0ca79dddd446 --- /dev/null +++ b/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py @@ -0,0 +1,164 @@ +import asyncio +import sys +import uuid + +import pytest +from google.protobuf.timestamp_pb2 import Timestamp + +from ray._common.test_utils import async_wait_for_condition +from ray.core.generated import events_base_event_pb2 +from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( + MultiConsumerEventBuffer, +) +from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( + PublisherClientInterface, + PublishStats, +) +from ray.dashboard.modules.aggregator.publisher.ray_event_publisher import ( + NoopPublisher, + RayEventPublisher, +) + + +class MockPublisherClient(PublisherClientInterface): + """Test implementation of PublisherClientInterface.""" + + def __init__( + self, + batch_size: int = 1, + side_effect=lambda batch: PublishStats(True, 1, 0), + ): + self.batch_size = batch_size + self.publish_calls = [] + self._side_effect = side_effect + + async def publish(self, batch) -> PublishStats: + self.publish_calls.append(batch) + return self._side_effect(batch) + + def count_num_events_in_batch(self, batch) -> int: + return self.batch_size + + async def close(self) -> None: + pass + + +@pytest.fixture +def base_kwargs(): + """Common kwargs for publisher initialization.""" + return { + "name": "test", + "max_retries": 2, + "initial_backoff": 0, + "max_backoff": 0, + "jitter_ratio": 0, + "enable_publisher_stats": True, + } + + +class TestRayEventPublisher: + """Test the main RayEventsPublisher functionality.""" + + @pytest.mark.asyncio + async def test_publish_with_retries_failure_then_success(self, base_kwargs): + """Test publish that fails then succeeds.""" + call_count = {"count": 0} + + # fail the first publish call but succeed on retry + def side_effect(batch): + call_count["count"] += 1 + if call_count["count"] == 1: + return PublishStats(False, 0, 0) + return PublishStats(True, 1, 0) + + client = MockPublisherClient(side_effect=side_effect) + event_buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=10) + publisher = RayEventPublisher( + name=base_kwargs["name"] + str(uuid.uuid4()), + publish_client=client, + event_buffer=event_buffer, + max_retries=base_kwargs["max_retries"], + initial_backoff=base_kwargs["initial_backoff"], + max_backoff=base_kwargs["max_backoff"], + jitter_ratio=base_kwargs["jitter_ratio"], + ) + + task = asyncio.create_task(publisher.run_forever()) + try: + # ensure consumer is registered + assert await publisher.wait_until_running(2.0) + # Enqueue one event into buffer + e = events_base_event_pb2.RayEvent( + event_id=b"1", + source_type=events_base_event_pb2.RayEvent.SourceType.CORE_WORKER, + event_type=events_base_event_pb2.RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=Timestamp(seconds=123, nanos=0), + severity=events_base_event_pb2.RayEvent.Severity.INFO, + message="hello", + ) + await event_buffer.add_event(e) + + # wait for two publish attempts (failure then success) + await async_wait_for_condition(lambda: len(client.publish_calls) == 2) + finally: + task.cancel() + with pytest.raises(asyncio.CancelledError): + await task + + @pytest.mark.asyncio + async def test_publish_with_retries_max_retries_exceeded(self, base_kwargs): + """Test publish that fails all retries and records failed events.""" + client = MockPublisherClient( + side_effect=lambda batch: PublishStats(False, 0, 0) + ) + event_buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=10) + publisher = RayEventPublisher( + name=base_kwargs["name"] + str(uuid.uuid4()), + publish_client=client, + event_buffer=event_buffer, + max_retries=2, # override to finite retries + initial_backoff=0, + max_backoff=0, + jitter_ratio=0, + ) + + task = asyncio.create_task(publisher.run_forever()) + try: + # ensure consumer is registered + assert await publisher.wait_until_running(2.0) + e = events_base_event_pb2.RayEvent( + event_id=b"1", + source_type=events_base_event_pb2.RayEvent.SourceType.CORE_WORKER, + event_type=events_base_event_pb2.RayEvent.EventType.TASK_DEFINITION_EVENT, + timestamp=Timestamp(seconds=123, nanos=0), + severity=events_base_event_pb2.RayEvent.Severity.INFO, + message="hello", + ) + await event_buffer.add_event(e) + + # wait for publish attempts (initial + 2 retries) + await async_wait_for_condition(lambda: len(client.publish_calls) == 3) + assert len(client.publish_calls) == 3 + finally: + task.cancel() + with pytest.raises(asyncio.CancelledError): + await task + + +class TestNoopPublisher: + """Test no-op publisher implementation.""" + + @pytest.mark.asyncio + async def test_all_methods_noop(self): + """Test that run_forever can be cancelled and metrics return expected values.""" + publisher = NoopPublisher() + + # Start and cancel run_forever + task = asyncio.create_task(publisher.run_forever()) + task.cancel() + with pytest.raises(asyncio.CancelledError): + await task + + +if __name__ == "__main__": + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 049ebb85cb19..4f3814a44a01 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -40,6 +40,7 @@ TaskEventsMetadata, ) from ray.dashboard.consts import DASHBOARD_METRIC_PORT +from ray.dashboard.modules.aggregator.constants import CONSUMER_TAG_KEY from ray.dashboard.modules.aggregator.tests.test_aggregator_agent import ( get_event_aggregator_grpc_stub, ) @@ -143,11 +144,15 @@ ] _EVENT_AGGREGATOR_METRICS = [ - "ray_event_aggregator_agent_events_received_total", - "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", - "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", - "ray_event_aggregator_agent_events_published_total", - "ray_event_aggregator_agent_events_filtered_out_total", + "ray_aggregator_agent_events_received_total", + "ray_aggregator_agent_published_events_total", + "ray_aggregator_agent_filtered_events_total", + "ray_aggregator_agent_queue_dropped_events_total", + "ray_aggregator_agent_consecutive_failures_since_last_success", + "ray_aggregator_agent_time_since_last_success_seconds", + "ray_aggregator_agent_publish_latency_seconds_bucket", + "ray_aggregator_agent_publish_latency_seconds_count", + "ray_aggregator_agent_publish_latency_seconds_sum", ] _NODE_METRICS = [ @@ -489,6 +494,7 @@ def httpserver_listen_address(): # Turn off task events generation to avoid the task events from the # cluster impacting the test result "RAY_task_events_report_interval_ms": 0, + "RAY_enable_open_telemetry": "true", }, }, ], @@ -513,11 +519,15 @@ def test_case_stats_exist(): metric_descriptors = timeseries.metric_descriptors metrics_names = metric_descriptors.keys() event_aggregator_metrics = [ - "ray_event_aggregator_agent_events_received_total", - "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", - "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", - "ray_event_aggregator_agent_events_published_total", - "ray_event_aggregator_agent_events_filtered_out_total", + "ray_aggregator_agent_events_received_total", + "ray_aggregator_agent_published_events_total", + "ray_aggregator_agent_filtered_events_total", + "ray_aggregator_agent_queue_dropped_events_total", + "ray_aggregator_agent_consecutive_failures_since_last_success", + "ray_aggregator_agent_time_since_last_success_seconds", + "ray_aggregator_agent_publish_latency_seconds_bucket", + "ray_aggregator_agent_publish_latency_seconds_count", + "ray_aggregator_agent_publish_latency_seconds_sum", ] return all(metric in metrics_names for metric in event_aggregator_metrics) @@ -525,11 +535,7 @@ def test_case_value_correct(): fetch_prometheus_timeseries(prom_addresses, timeseries) metric_samples = timeseries.metric_samples.values() expected_metrics_values = { - "ray_event_aggregator_agent_events_received_total": 3.0, - "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total": 0.0, - "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total": 1.0, - "ray_event_aggregator_agent_events_published_total": 1.0, - "ray_event_aggregator_agent_events_filtered_out_total": 1.0, + "ray_aggregator_agent_events_received_total": 3.0, } for descriptor, expected_value in expected_metrics_values.items(): samples = [m for m in metric_samples if m.name == descriptor] @@ -539,7 +545,24 @@ def test_case_value_correct(): return False return True - wait_for_condition(test_case_stats_exist, timeout=30, retry_interval_ms=1000) + def test_case_publisher_specific_metrics_correct(publisher_name: str): + fetch_prometheus_timeseries(prom_addresses, timeseries) + metric_samples = timeseries.metric_samples.values() + expected_metrics_values = { + "ray_aggregator_agent_published_events_total": 1.0, + "ray_aggregator_agent_filtered_events_total": 1.0, + "ray_aggregator_agent_queue_dropped_events_total": 1.0, + } + for descriptor, expected_value in expected_metrics_values.items(): + samples = [m for m in metric_samples if m.name == descriptor] + if not samples: + return False + if ( + samples[0].value != expected_value + or samples[0].labels[CONSUMER_TAG_KEY] != publisher_name + ): + return False + return True now = time.time_ns() seconds, nanos = divmod(now, 10**9) @@ -586,8 +609,16 @@ def test_case_value_correct(): stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) + wait_for_condition(test_case_stats_exist, timeout=30, retry_interval_ms=1000) + wait_for_condition(test_case_value_correct, timeout=30, retry_interval_ms=1000) + wait_for_condition( + lambda: test_case_publisher_specific_metrics_correct("http_publisher"), + timeout=30, + retry_interval_ms=1000, + ) + def test_operation_stats(monkeypatch, shutdown_only): # Test operation stats are available when flag is on. From d9db9c09886d4e029ca5736a3232c13c0d761ef2 Mon Sep 17 00:00:00 2001 From: You-Cheng Lin <106612301+owenowenisme@users.noreply.github.com> Date: Fri, 26 Sep 2025 00:09:44 +0800 Subject: [PATCH 1396/1566] [Data] Make zip operator accept multiple input (#56524) ## Why are these changes needed? Before making zip operator a streaming operator, we make it accept multiple input first. Now Zip operator can be used with ```py >>> import ray >>> ds1 = ray.data.range(5) >>> ds2 = ray.data.range(5) >>> ds3 = ray.data.range(5) >>> ds1.zip(ds2, ds3).take_batch() {'id': array([0, 1, 2, 3, 4]), 'id_1': array([0, 1, 2, 3, 4]), 'id_2': array([0, 1, 2, 3, 4])} >>> ds1.zip(ds2, ds3).take_all() [{'id': 0, 'id_1': 0, 'id_2': 0}, {'id': 1, 'id_1': 1, 'id_2': 1}, {'id': 2, 'id_1': 2, 'id_2': 2}, {'id': 3, 'id_1': 3, 'id_2': 3}, {'id': 4, 'id_1': 4, 'id_2': 4}] >>> ``` ## Related issue number #56504 Signed-off-by: You-Cheng Lin (Owen) Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 6 +- .../execution/operators/zip_operator.py | 105 ++++++++++-------- .../logical/operators/n_ary_operator.py | 22 ++-- python/ray/data/_internal/planner/planner.py | 4 +- python/ray/data/dataset.py | 16 ++- .../data/tests/test_execution_optimizer.py | 17 ++- python/ray/data/tests/test_zip.py | 35 ++++-- 7 files changed, 117 insertions(+), 88 deletions(-) diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 2fade5ac41ec..2db9ea1e73e1 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1140,7 +1140,7 @@ python/ray/data/_internal/execution/operators/union_operator.py -------------------- python/ray/data/_internal/execution/operators/zip_operator.py DOC101: Method `ZipOperator.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `ZipOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [data_context: DataContext, left_input_op: PhysicalOperator]. Arguments in the docstring but not in the function signature: [left_input_ops: ]. + DOC103: Method `ZipOperator.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*input_ops: PhysicalOperator, data_context: DataContext]. Arguments in the docstring but not in the function signature: [input_ops: ]. -------------------- python/ray/data/_internal/execution/streaming_executor.py DOC101: Method `StreamingExecutor._scheduling_loop_step`: Docstring contains fewer arguments than in function signature. @@ -1188,10 +1188,6 @@ python/ray/data/_internal/logical/operators/n_ary_operator.py DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) DOC101: Method `NAry.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `NAry.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [*input_ops: LogicalOperator, num_outputs: Optional[int]]. - DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" - DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) - DOC101: Method `Zip.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `Zip.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [left_input_op: LogicalOperator, right_input_op: LogicalOperator]. -------------------- python/ray/data/_internal/logical/operators/one_to_one_operator.py DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" diff --git a/python/ray/data/_internal/execution/operators/zip_operator.py b/python/ray/data/_internal/execution/operators/zip_operator.py index d37ecd59a821..4d411d35e5a3 100644 --- a/python/ray/data/_internal/execution/operators/zip_operator.py +++ b/python/ray/data/_internal/execution/operators/zip_operator.py @@ -1,3 +1,4 @@ +import collections import itertools from typing import TYPE_CHECKING, List, Optional, Tuple @@ -6,6 +7,7 @@ from ray.data._internal.execution.interfaces import PhysicalOperator, RefBundle from ray.data._internal.execution.operators.base_physical_operator import ( InternalQueueOperatorMixin, + NAryOperator, ) from ray.data._internal.remote_fn import cached_remote_fn from ray.data._internal.split import _split_at_indices @@ -24,7 +26,7 @@ from ray.data.block import BlockMetadataWithSchema -class ZipOperator(InternalQueueOperatorMixin, PhysicalOperator): +class ZipOperator(InternalQueueOperatorMixin, NAryOperator): """An operator that zips its inputs together. NOTE: the implementation is bulk for now, which materializes all its inputs in @@ -34,70 +36,79 @@ class ZipOperator(InternalQueueOperatorMixin, PhysicalOperator): def __init__( self, - left_input_op: PhysicalOperator, - right_input_op: PhysicalOperator, data_context: DataContext, + *input_ops: PhysicalOperator, ): """Create a ZipOperator. Args: - left_input_ops: The input operator at left hand side. - right_input_op: The input operator at right hand side. + input_ops: Operators generating input data for this operator to zip. """ - self._left_buffer: List[RefBundle] = [] - self._right_buffer: List[RefBundle] = [] - self._output_buffer: List[RefBundle] = [] + assert len(input_ops) >= 2 + self._input_buffers: List[collections.deque[RefBundle]] = [ + collections.deque() for _ in range(len(input_ops)) + ] + self._output_buffer: collections.deque[RefBundle] = collections.deque() self._stats: StatsDict = {} super().__init__( - "Zip", - [left_input_op, right_input_op], data_context, + *input_ops, ) def num_outputs_total(self) -> Optional[int]: - left_num_outputs = self.input_dependencies[0].num_outputs_total() - right_num_outputs = self.input_dependencies[1].num_outputs_total() - if left_num_outputs is not None and right_num_outputs is not None: - return max(left_num_outputs, right_num_outputs) - elif left_num_outputs is not None: - return left_num_outputs - else: - return right_num_outputs + num_outputs = None + for input_op in self.input_dependencies: + input_num_outputs = input_op.num_outputs_total() + if input_num_outputs is None: + continue + if num_outputs is None: + num_outputs = input_num_outputs + else: + num_outputs = max(num_outputs, input_num_outputs) + return num_outputs def num_output_rows_total(self) -> Optional[int]: - left_num_rows = self.input_dependencies[0].num_output_rows_total() - right_num_rows = self.input_dependencies[1].num_output_rows_total() - if left_num_rows is not None and right_num_rows is not None: - return max(left_num_rows, right_num_rows) - elif left_num_rows is not None: - return left_num_rows - else: - return right_num_rows + num_rows = None + for input_op in self.input_dependencies: + input_num_rows = input_op.num_output_rows_total() + if input_num_rows is None: + continue + if num_rows is None: + num_rows = input_num_rows + else: + num_rows = max(num_rows, input_num_rows) + return num_rows def internal_queue_size(self) -> int: - return len(self._left_buffer) + len(self._right_buffer) + return sum([len(buf) for buf in self._input_buffers]) def _add_input_inner(self, refs: RefBundle, input_index: int) -> None: assert not self.completed() - assert input_index == 0 or input_index == 1, input_index - if input_index == 0: - self._left_buffer.append(refs) - self._metrics.on_input_queued(refs) - else: - self._right_buffer.append(refs) - self._metrics.on_input_queued(refs) + assert 0 <= input_index <= len(self._input_dependencies), input_index + self._input_buffers[input_index].append(refs) + self._metrics.on_input_queued(refs) def all_inputs_done(self) -> None: - self._output_buffer, self._stats = self._zip( - self._left_buffer, self._right_buffer - ) + assert len(self._output_buffer) == 0, len(self._output_buffer) - while self._left_buffer: - refs = self._left_buffer.pop() - self._metrics.on_input_dequeued(refs) - while self._right_buffer: - refs = self._right_buffer.pop() + # Start with the first input buffer + while self._input_buffers[0]: + refs = self._input_buffers[0].popleft() + self._output_buffer.append(refs) self._metrics.on_input_dequeued(refs) + + # Process each additional input buffer + for input_buffer in self._input_buffers[1:]: + self._output_buffer, self._stats = self._zip( + self._output_buffer, input_buffer + ) + + # Clear the input buffer AFTER using it in _zip + while input_buffer: + refs = input_buffer.popleft() + self._metrics.on_input_dequeued(refs) + + # Mark outputs as ready for ref in self._output_buffer: self._metrics.on_output_queued(ref) @@ -107,7 +118,7 @@ def has_next(self) -> bool: return len(self._output_buffer) > 0 def _get_next_inner(self) -> RefBundle: - refs = self._output_buffer.pop(0) + refs = self._output_buffer.popleft() self._metrics.on_output_dequeued(refs) return refs @@ -118,8 +129,10 @@ def implements_accurate_memory_accounting(self): return True def _zip( - self, left_input: List[RefBundle], right_input: List[RefBundle] - ) -> Tuple[List[RefBundle], StatsDict]: + self, + left_input: collections.deque[RefBundle], + right_input: collections.deque[RefBundle], + ) -> Tuple[collections.deque[RefBundle], StatsDict]: """Zip the RefBundles from `left_input` and `right_input` together. Zip is done in 2 steps: aligning blocks, and zipping blocks from @@ -218,7 +231,7 @@ def _zip( output_metadata_schema ) - output_refs = [] + output_refs: collections.deque[RefBundle] = collections.deque() input_owned = all(b.owns_blocks for b in left_input) for block, meta_with_schema in zip(output_blocks, output_metadata_schema): output_refs.append( diff --git a/python/ray/data/_internal/logical/operators/n_ary_operator.py b/python/ray/data/_internal/logical/operators/n_ary_operator.py index 7977fafdf74e..97c058ac3985 100644 --- a/python/ray/data/_internal/logical/operators/n_ary_operator.py +++ b/python/ray/data/_internal/logical/operators/n_ary_operator.py @@ -23,22 +23,18 @@ class Zip(NAry): def __init__( self, - left_input_op: LogicalOperator, - right_input_op: LogicalOperator, + *input_ops: LogicalOperator, ): - """ - Args: - left_input_op: The input operator at left hand side. - right_input_op: The input operator at right hand side. - """ - super().__init__(left_input_op, right_input_op) + super().__init__(*input_ops) def estimated_num_outputs(self): - left_num_outputs = self._input_dependencies[0].estimated_num_outputs() - right_num_outputs = self._input_dependencies[1].estimated_num_outputs() - if left_num_outputs is None or right_num_outputs is None: - return None - return max(left_num_outputs, right_num_outputs) + total_num_outputs = 0 + for input in self._input_dependencies: + num_outputs = input.estimated_num_outputs() + if num_outputs is None: + return None + total_num_outputs = max(total_num_outputs, num_outputs) + return total_num_outputs class Union(NAry): diff --git a/python/ray/data/_internal/planner/planner.py b/python/ray/data/_internal/planner/planner.py index a33d82364012..c12fffa1cd1a 100644 --- a/python/ray/data/_internal/planner/planner.py +++ b/python/ray/data/_internal/planner/planner.py @@ -77,8 +77,8 @@ def plan_from_op( def plan_zip_op(_, physical_children, data_context): - assert len(physical_children) == 2 - return ZipOperator(physical_children[0], physical_children[1], data_context) + assert len(physical_children) >= 2 + return ZipOperator(data_context, *physical_children) def plan_union_op(_, physical_children, data_context): diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index c9ccc6e6cf4c..509b1ad24f51 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -3139,7 +3139,7 @@ def sort( return Dataset(plan, logical_plan) @PublicAPI(api_group=SMJ_API_GROUP) - def zip(self, other: "Dataset") -> "Dataset": + def zip(self, *other: List["Dataset"]) -> "Dataset": """Zip the columns of this dataset with the columns of another. The datasets must have the same number of rows. Their column sets are @@ -3158,19 +3158,25 @@ def zip(self, other: "Dataset") -> "Dataset": >>> import ray >>> ds1 = ray.data.range(5) >>> ds2 = ray.data.range(5) - >>> ds1.zip(ds2).take_batch() - {'id': array([0, 1, 2, 3, 4]), 'id_1': array([0, 1, 2, 3, 4])} + >>> ds3 = ray.data.range(5) + >>> ds1.zip(ds2, ds3).take_batch() + {'id': array([0, 1, 2, 3, 4]), 'id_1': array([0, 1, 2, 3, 4]), 'id_2': array([0, 1, 2, 3, 4])} Args: - other: The dataset to zip with on the right hand side. + *other: List of datasets to combine with this one. The datasets + must have the same row count as this dataset, otherwise the + ValueError is raised. Returns: A :class:`Dataset` containing the columns of the second dataset concatenated horizontally with the columns of the first dataset, with duplicate column names disambiguated with suffixes like ``"_1"``. + + Raises: + ValueError: If the datasets have different row counts. """ plan = self._plan.copy() - op = Zip(self._logical_plan.dag, other._logical_plan.dag) + op = Zip(self._logical_plan.dag, *[other._logical_plan.dag for other in other]) logical_plan = LogicalPlan(op, self.context) return Dataset(plan, logical_plan) diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 130a21a8a766..540718b4061c 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -757,17 +757,24 @@ def test_zip_operator(ray_start_regular_shared_2_cpus): @pytest.mark.parametrize( - "num_blocks1,num_blocks2", - list(itertools.combinations_with_replacement(range(1, 12), 2)), + "num_blocks1,num_blocks2,num_blocks3", + list(itertools.combinations_with_replacement(range(1, 12), 3)), ) -def test_zip_e2e(ray_start_regular_shared_2_cpus, num_blocks1, num_blocks2): +def test_zip_e2e( + ray_start_regular_shared_2_cpus, num_blocks1, num_blocks2, num_blocks3 +): n = 12 ds1 = ray.data.range(n, override_num_blocks=num_blocks1) ds2 = ray.data.range(n, override_num_blocks=num_blocks2).map( column_udf("id", lambda x: x + 1) ) - ds = ds1.zip(ds2) - assert ds.take() == named_values(["id", "id_1"], zip(range(n), range(1, n + 1))) + ds3 = ray.data.range(n, override_num_blocks=num_blocks3).map( + column_udf("id", lambda x: x + 2) + ) + ds = ds1.zip(ds2, ds3) + assert ds.take() == named_values( + ["id", "id_1", "id_2"], zip(range(n), range(1, n + 1), range(2, n + 2)) + ) _check_usage_record(["ReadRange", "Zip"]) diff --git a/python/ray/data/tests/test_zip.py b/python/ray/data/tests/test_zip.py index 942c598c930f..b0d1a0315558 100644 --- a/python/ray/data/tests/test_zip.py +++ b/python/ray/data/tests/test_zip.py @@ -11,18 +11,29 @@ from ray.tests.conftest import * # noqa -def test_zip(ray_start_regular_shared): - ds1 = ray.data.range(5, override_num_blocks=5) - ds2 = ray.data.range(5, override_num_blocks=5).map( - column_udf("id", lambda x: x + 1) - ) - ds = ds1.zip(ds2) - assert ds.schema().names == ["id", "id_1"] - assert ds.take() == named_values( - ["id", "id_1"], [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5)] - ) - with pytest.raises(ValueError): - ds.zip(ray.data.range(3)).materialize() +@pytest.mark.parametrize("num_datasets", [2, 3, 4, 5, 10]) +def test_zip_multiple_datasets(ray_start_regular_shared, num_datasets): + # Create multiple datasets with different transformations + datasets = [] + for i in range(num_datasets): + ds = ray.data.range(5, override_num_blocks=5) + if i > 0: # Apply transformation to all but the first dataset + ds = ds.map(column_udf("id", lambda x, offset=i: x + offset)) + datasets.append(ds) + + ds = datasets[0].zip(*datasets[1:]) + + # Verify schema names + expected_names = ["id"] + [f"id_{i}" for i in range(1, num_datasets)] + assert ds.schema().names == expected_names + + # Verify data + expected_data = [] + for row_idx in range(5): + row_data = tuple(row_idx + i for i in range(num_datasets)) + expected_data.append(row_data) + + assert ds.take() == named_values(expected_names, expected_data) @pytest.mark.parametrize( From 945fb1d1b1e5cb04ec47ee8150d50b6190f5519b Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Thu, 25 Sep 2025 09:37:00 -0700 Subject: [PATCH 1397/1566] [wheel] add option to skip ray core building (#56904) this makes it possible to skip ray core binary bits building but still builds/copies other parts (like java or redis) when required. also documents the `RAY_BUILD_REDIS` option. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- doc/source/ray-contribute/development.rst | 3 +++ python/setup.py | 5 +++-- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/doc/source/ray-contribute/development.rst b/doc/source/ray-contribute/development.rst index 56faf925dd4e..c0a21776a4e6 100644 --- a/doc/source/ray-contribute/development.rst +++ b/doc/source/ray-contribute/development.rst @@ -291,9 +291,12 @@ Environment variables that influence builds You can tweak the build with the following environment variables (when running ``pip install -e .`` or ``python setup.py install``): +- ``RAY_BUILD_CORE``: If set and equal to ``1``, the core parts will be built. Defaults to ``1``. - ``RAY_INSTALL_JAVA``: If set and equal to ``1``, extra build steps will be executed to build java portions of the codebase - ``RAY_INSTALL_CPP``: If set and equal to ``1``, ``ray-cpp`` will be installed +- ``RAY_BUILD_REDIS``: If set and equal to ``1``, Redis binaries will be built or fetched. + These binaries are only used for testing. Defaults to ``1``. - ``RAY_DISABLE_EXTRA_CPP``: If set and equal to ``1``, a regular (non - ``cpp``) build will not provide some ``cpp`` interfaces - ``SKIP_BAZEL_BUILD``: If set and equal to ``1``, no Bazel build steps will be diff --git a/python/setup.py b/python/setup.py index 2c7a8201d5db..1b6489e46a08 100644 --- a/python/setup.py +++ b/python/setup.py @@ -28,7 +28,8 @@ # in WORKSPACE file as well. ROOT_DIR = os.path.dirname(__file__) -BUILD_JAVA = os.getenv("RAY_INSTALL_JAVA") == "1" +BUILD_CORE = os.getenv("RAY_BUILD_CORE", "1") == "1" +BUILD_JAVA = os.getenv("RAY_INSTALL_JAVA", "0") == "1" BUILD_CPP = os.getenv("RAY_DISABLE_EXTRA_CPP") != "1" BUILD_REDIS = os.getenv("RAY_BUILD_REDIS", "1") == "1" SKIP_BAZEL_BUILD = os.getenv("SKIP_BAZEL_BUILD") == "1" @@ -713,7 +714,7 @@ def pip_run(build_ext): if SKIP_BAZEL_BUILD or setup_spec.build_type == BuildType.DEPS_ONLY: build(False, False, False, False) else: - build(True, BUILD_JAVA, BUILD_CPP, BUILD_REDIS) + build(BUILD_CORE, BUILD_JAVA, BUILD_CPP, BUILD_REDIS) if setup_spec.type == SetupType.RAY: if setup_spec.build_type == BuildType.DEPS_ONLY: From 08b83cc69ce224287df88044b39ba5360698dcc8 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Thu, 25 Sep 2025 22:11:43 +0530 Subject: [PATCH 1398/1566] add post scaling api (#56135) As part of the custom autoscaling story, we need to expose two APIs for external autoscalers so that they can control the number of replicas from outside the system. More details can be found at: [Design doc](https://docs.google.com/document/d/1KtMUDz1O3koihG6eh-QcUqudZjNAX3NsqqOMYh3BoWA/edit?tab=t.0#heading=h.2vf4s2d7ca46) With this PR, we are merging the support for POST scaling API (to change the number of replicas) along with all the required tests. This involves changes in - `serve_head.py` file in dashboard to expose the API. It will accept the requests, perform validations, and then call serve controller. - `controller.py` file in serve to implement actual business logic which will basically use an internal function to change target num replicas for the deployment using DeploymentStateManager The API contract can be found at: [API contract](https://docs.google.com/document/d/1JaMcjcRKGIpOuVfKWB9yF0ZpZhvnngsxmtq8eCSEB4M/edit?tab=t.0) --------- Signed-off-by: harshit Signed-off-by: abrar Co-authored-by: abrar Signed-off-by: Douglas Strodtman --- doc/source/serve/api/index.md | 1 + .../ray/dashboard/modules/serve/serve_head.py | 81 ++++ .../serve/tests/test_serve_dashboard.py | 390 +++++++++++++++++- python/ray/serve/_private/controller.py | 13 + python/ray/serve/_private/deployment_state.py | 45 ++ python/ray/serve/_private/exceptions.py | 4 + python/ray/serve/_private/usage.py | 1 + python/ray/serve/schema.py | 9 + .../serve/tests/unit/test_deployment_state.py | 139 +++++++ src/ray/protobuf/usage.proto | 2 + 10 files changed, 684 insertions(+), 1 deletion(-) create mode 100644 python/ray/serve/_private/exceptions.py diff --git a/doc/source/serve/api/index.md b/doc/source/serve/api/index.md index d8d251018c70..3a3a63934524 100644 --- a/doc/source/serve/api/index.md +++ b/doc/source/serve/api/index.md @@ -392,6 +392,7 @@ Content-Type: application/json schema.CeleryAdapterConfig schema.TaskProcessorConfig schema.TaskResult + schema.ScaleDeploymentRequest ``` (serve-rest-api-response-schema)= diff --git a/python/ray/dashboard/modules/serve/serve_head.py b/python/ray/dashboard/modules/serve/serve_head.py index 02e940bc7601..205648d74dc3 100644 --- a/python/ray/dashboard/modules/serve/serve_head.py +++ b/python/ray/dashboard/modules/serve/serve_head.py @@ -188,6 +188,87 @@ async def put_all_applications(self, req: Request) -> Response: else: return Response() + def _create_json_response(self, data, status: int) -> Response: + """Create a JSON response with the given data and status.""" + return Response( + status=status, + text=json.dumps(data), + content_type="application/json", + ) + + @routes.post( + "/api/v1/applications/{application_name}/deployments/{deployment_name}/scale" + ) + @dashboard_optional_utils.init_ray_and_catch_exceptions() + @validate_endpoint() + async def scale_deployment(self, req: Request) -> Response: + from ray.serve._private.common import DeploymentID + from ray.serve._private.exceptions import DeploymentIsBeingDeletedError + from ray.serve.schema import ScaleDeploymentRequest + + # Extract path parameters + application_name = req.match_info.get("application_name") + deployment_name = req.match_info.get("deployment_name") + + if not application_name or not deployment_name: + return self._create_json_response( + {"error": "Missing application_name or deployment_name in path"}, 400 + ) + + try: + request_data = await req.json() + scale_request = ScaleDeploymentRequest(**request_data) + except Exception as e: + return self._create_json_response( + {"error": f"Invalid request body: {str(e)}"}, 400 + ) + + controller = await self.get_serve_controller() + + if controller is None: + return self._create_json_response( + {"error": "Serve controller is not available"}, 503 + ) + + try: + deployment_id = DeploymentID( + name=deployment_name, app_name=application_name + ) + + # Update the target number of replicas + logger.info( + f"Scaling deployment {deployment_name}, application {application_name} to {scale_request.target_num_replicas} replicas" + ) + await controller.update_deployment_replicas.remote( + deployment_id, scale_request.target_num_replicas + ) + + return self._create_json_response( + { + "message": "Scaling request received. Deployment will get scaled asynchronously." + }, + 200, + ) + except Exception as e: + if isinstance(e.cause, DeploymentIsBeingDeletedError): + return self._create_json_response( + # From customer's viewpoint, the deployment is deleted instead of being deleted + # as they must have already executed the delete command + {"error": "Deployment is deleted"}, + 412, + ) + if isinstance(e, ValueError) and "not found" in str(e): + return self._create_json_response( + {"error": "Application or Deployment not found"}, 400 + ) + else: + logger.error( + f"Got an Internal Server Error while scaling deployment, error: {e}" + ) + return self._create_json_response( + {"error": "Internal Server Error"}, 503 + ) + def validate_http_options(self, client, http_options): divergent_http_options = [] diff --git a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py index 2d019f25dee2..47be34577b47 100644 --- a/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py +++ b/python/ray/dashboard/modules/serve/tests/test_serve_dashboard.py @@ -2,19 +2,23 @@ import os import subprocess import sys +import tempfile from pathlib import Path from typing import Dict import pytest import requests -from ray._common.test_utils import wait_for_condition +import ray +from ray import serve +from ray._common.test_utils import Semaphore, SignalActor, wait_for_condition from ray.serve._private.common import ( DeploymentStatus, DeploymentStatusTrigger, ReplicaState, ) from ray.serve._private.constants import SERVE_NAMESPACE +from ray.serve._private.test_utils import get_num_alive_replicas from ray.serve.schema import ApplicationStatus, ProxyStatus, ServeInstanceDetails from ray.serve.tests.conftest import * # noqa: F401 F403 from ray.tests.conftest import * # noqa: F401 F403 @@ -25,6 +29,16 @@ SERVE_HEAD_URL = "http://localhost:8265/api/serve/applications/" +SERVE_HEAD_DEPLOYMENT_SCALE_URL = "http://localhost:8265/api/v1/applications/{app_name}/deployments/{deployment_name}/scale" +CONFIG_FILE_TEXT = """ +applications: + - name: test_app + route_prefix: / + import_path: ray.dashboard.modules.serve.tests.test_serve_dashboard.deployment_app + deployments: + - name: hello_world + num_replicas: 1 +""" def deploy_config_multi_app(config: Dict, url: str): @@ -572,6 +586,380 @@ def applications_running(): print("Finished checking application details.") +@serve.deployment(name="hello_world", num_replicas=1) +class DeploymentClass: + def __init__(self): + pass + + def __call__(self): + return "test" + + +deployment_app = DeploymentClass.bind() + + +@serve.deployment(name="hello_world", num_replicas=2, version="v2") +class DeploymentClassWithBlockingInit: + def __init__(self, semaphore_handle): + ray.get(semaphore_handle.acquire.remote()) + ray.get(semaphore_handle.release.remote()) + + def __call__(self): + return "test" + + +@pytest.mark.skipif( + sys.platform == "darwin" and not TEST_ON_DARWIN, reason="Flaky on OSX." +) +class TestScaleDeploymentEndpoint: + def _run_serve_deploy(self, config_path: Path): + proc = subprocess.run( + [ + "serve", + "deploy", + "-a", + "http://localhost:8265", + str(config_path), + ], + capture_output=True, + ) + + assert proc.returncode == 0, proc.stderr.decode("utf-8") + + def _get_deployment_details( + self, app_name="test_app", deployment_name="hello_world" + ): + """Get deployment details from serve instance.""" + serve_details = ServeInstanceDetails(**requests.get(SERVE_HEAD_URL).json()) + app_details = serve_details.applications[app_name] + + return app_details.deployments[deployment_name] + + def _scale_and_verify_deployment( + self, + num_replicas, + app_name="test_app", + deployment_name="hello_world", + verify_actual_replicas=True, + ): + """Scale a deployment and verify both target and actual replica counts.""" + response = requests.post( + SERVE_HEAD_DEPLOYMENT_SCALE_URL.format( + app_name=app_name, deployment_name=deployment_name + ), + json={"target_num_replicas": num_replicas}, + timeout=30, + ) + + response_data = response.json() + + assert response.status_code == 200 + assert "message" in response_data + assert ( + "Scaling request received. Deployment will get scaled asynchronously." + in response_data["message"] + ) + + self._verify_deployment_details( + app_name=app_name, + deployment_name=deployment_name, + target_num_replicas=num_replicas, + verify_actual_replicas=verify_actual_replicas, + ) + + def _verify_deployment_details( + self, + app_name="test_app", + deployment_name="hello_world", + target_num_replicas=None, + deployment_status=None, + verify_actual_replicas=True, + ): + deployment_details = self._get_deployment_details(app_name, deployment_name) + + if target_num_replicas is not None: + assert deployment_details.target_num_replicas == target_num_replicas + + if deployment_status is not None: + assert deployment_details.status == deployment_status + + if verify_actual_replicas: + wait_for_condition( + lambda: get_num_alive_replicas(deployment_name, app_name) + == target_num_replicas, + timeout=30, + ) + + return True + + def test_scale_deployment_endpoint_comprehensive(self, ray_start_stop): + serve.run(DeploymentClass.bind(), name="test_app") + + wait_for_condition( + lambda: self._get_deployment_details().status == DeploymentStatus.HEALTHY + ) # Wait for deployment to be healthy + + self._scale_and_verify_deployment( + 3 + ) # Test 1: Basic scaling up and down with actual replica verification + + self._scale_and_verify_deployment(1) + + self._scale_and_verify_deployment(0) # Test 2: Scale to zero replicas + + self._scale_and_verify_deployment(2) # Test 3: Scale from zero replicas + + def test_scale_deployment_during_application_startup(self, ray_start_stop): + semaphore = Semaphore.remote(value=0) + + serve._run( + DeploymentClassWithBlockingInit.bind(semaphore), + name="test_app", + _blocking=False, + ) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=2, + deployment_status=DeploymentStatus.UPDATING, + verify_actual_replicas=False, + timeout=30, + ) + + self._scale_and_verify_deployment(4, verify_actual_replicas=False) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=4, + deployment_status=DeploymentStatus.UPDATING, + verify_actual_replicas=False, + timeout=30, + ) + + ray.get(semaphore.release.remote()) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=4, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + def test_scale_deployment_during_application_upgrade(self, ray_start_stop): + semaphore = Semaphore.remote(value=1) + + serve._run(DeploymentClass.bind(), name="test_app", _blocking=False) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=1, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + serve._run( + DeploymentClassWithBlockingInit.bind(semaphore), + name="test_app", + _blocking=False, + ) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=2, + deployment_status=DeploymentStatus.UPDATING, + verify_actual_replicas=False, + timeout=30, + ) + + assert ( + get_num_alive_replicas(deployment_name="hello_world", app_name="test_app") + == 1 + ) + + self._scale_and_verify_deployment(3, verify_actual_replicas=False) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.UPDATING, + verify_actual_replicas=False, + timeout=30, + ) + + ray.get( + semaphore.release.remote() + ) # Release the semaphore to allow the second and third replica to start + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + def test_scale_deployment_during_application_deletion(self, ray_start_stop): + signal_actor = SignalActor.remote() + + @serve.deployment(name="hello_world", num_replicas=1) + class DeploymentClassWithBlockingDel: + def __init__(self, signal_actor_handle): + self.signal_actor_handle = signal_actor_handle + + def __del__(self): + ray.get(self.signal_actor_handle.wait.remote()) + + def __call__(self): + return "test" + + serve._run( + DeploymentClassWithBlockingDel.bind(signal_actor), + name="test_app", + _blocking=False, + ) + + wait_for_condition( + lambda: self._get_deployment_details().status == DeploymentStatus.HEALTHY + ) # Wait for deployment to be healthy + + serve.delete("test_app", _blocking=False) + + wait_for_condition(lambda: ray.get(signal_actor.cur_num_waiters.remote()) == 1) + + response = requests.post( + SERVE_HEAD_DEPLOYMENT_SCALE_URL.format( + app_name="test_app", deployment_name="hello_world" + ), + json={"target_num_replicas": 5}, + timeout=30, + ) + + assert response.status_code == 412 + assert "Deployment is deleted" in response.json()["error"] + + ray.get(signal_actor.send.remote()) + + def test_scale_deployment_retention_across_application_upgrade( + self, ray_start_stop + ): + """Test that replica counts set via /scale are retained across application upgrade.""" + + with tempfile.TemporaryDirectory() as tmpdir: + tmp_path = Path(tmpdir) + + config_v1_file = tmp_path / "config_v1.yaml" + config_v1_file.write_text(CONFIG_FILE_TEXT) + + self._run_serve_deploy(config_v1_file) + + wait_for_condition( + self._verify_deployment_details, + deployment_status=DeploymentStatus.HEALTHY, + target_num_replicas=1, + timeout=30, + ) + + self._scale_and_verify_deployment( + 3, verify_actual_replicas=False + ) # Scale to 3 replicas + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + self._run_serve_deploy(config_v1_file) # Redeploy the application + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + def test_scale_deployment_retention_during_serve_controller_restart( + self, ray_start_stop + ): + """Test that replica counts set via /scale are retained after serve controller restart.""" + serve.start() + + with tempfile.TemporaryDirectory() as tmpdir: + tmp_path = Path(tmpdir) + + config_v1_file = tmp_path / "config_v1.yaml" + config_v1_file.write_text(CONFIG_FILE_TEXT) + + self._run_serve_deploy(config_v1_file) + + wait_for_condition( + self._verify_deployment_details, + deployment_status=DeploymentStatus.HEALTHY, + target_num_replicas=1, + timeout=30, + ) + + self._scale_and_verify_deployment( + 3, verify_actual_replicas=False + ) # Scale to 3 replicas + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + ray.kill(serve.context._get_global_client()._controller, no_restart=False) + + wait_for_condition( + self._verify_deployment_details, + target_num_replicas=3, + deployment_status=DeploymentStatus.HEALTHY, + verify_actual_replicas=True, + timeout=30, + ) + + def test_error_case(self, ray_start_stop): + serve.start() + + error_response = requests.post( + SERVE_HEAD_DEPLOYMENT_SCALE_URL.format( + app_name="nonexistent", deployment_name="hello_world" + ), + json={"target_num_replicas": 2}, + timeout=30, + ) + assert error_response.status_code == 400 + assert "not found" in error_response.json()["error"].lower() + + error_response = requests.post( + SERVE_HEAD_DEPLOYMENT_SCALE_URL.format( + app_name="test_app", deployment_name="nonexistent" + ), + json={"target_num_replicas": 2}, + timeout=30, + ) + assert error_response.status_code == 400 + assert "not found" in error_response.json()["error"].lower() + + error_response = requests.post( + SERVE_HEAD_DEPLOYMENT_SCALE_URL.format( + app_name="test_app", deployment_name="hello_world" + ), + json={"invalid_field": 2}, + timeout=30, + ) + assert error_response.status_code == 400 + assert "invalid request body" in error_response.json()["error"].lower() + + @pytest.mark.skipif( sys.platform == "darwin" and not TEST_ON_DARWIN, reason="Flaky on OSX." ) diff --git a/python/ray/serve/_private/controller.py b/python/ray/serve/_private/controller.py index 662c887fd1a4..fb665c32d76f 100644 --- a/python/ray/serve/_private/controller.py +++ b/python/ray/serve/_private/controller.py @@ -932,6 +932,19 @@ def list_deployment_ids(self) -> List[DeploymentID]: """Gets the current list of all deployments' identifiers.""" return self.deployment_state_manager._deployment_states.keys() + def update_deployment_replicas( + self, deployment_id: DeploymentID, target_num_replicas: int + ) -> None: + """Update the target number of replicas for a deployment. + + Args: + deployment_id: The deployment to update. + target_num_replicas: The new target number of replicas. + """ + self.deployment_state_manager.set_target_num_replicas( + deployment_id, target_num_replicas + ) + def get_serve_instance_details(self, source: Optional[APIType] = None) -> Dict: """Gets details on all applications on the cluster and system-level info. diff --git a/python/ray/serve/_private/deployment_state.py b/python/ray/serve/_private/deployment_state.py index dd9a136632b4..103da767441a 100644 --- a/python/ray/serve/_private/deployment_state.py +++ b/python/ray/serve/_private/deployment_state.py @@ -53,6 +53,7 @@ ReplicaSchedulingRequestStatus, SpreadDeploymentSchedulingPolicy, ) +from ray.serve._private.exceptions import DeploymentIsBeingDeletedError from ray.serve._private.long_poll import LongPollHost, LongPollNamespace from ray.serve._private.storage.kv_store import KVStoreBase from ray.serve._private.usage import ServeUsageTag @@ -2017,6 +2018,7 @@ def _set_target_state( self, target_info: DeploymentInfo, target_num_replicas: int, + updated_via_api: bool = False, ) -> None: """Set the target state for the deployment to the provided info. @@ -2025,6 +2027,7 @@ def _set_target_state( target_num_replicas: The number of replicas that this deployment should attempt to run. status_trigger: The driver that triggered this change of state. + updated_via_api: Whether the target state update was triggered via API. """ new_target_state = DeploymentTargetState.create( target_info, target_num_replicas, deleting=False @@ -2037,6 +2040,8 @@ def _set_target_state( != new_target_state.version.deployment_config.autoscaling_config ): ServeUsageTag.AUTOSCALING_CONFIG_LIGHTWEIGHT_UPDATED.record("True") + elif updated_via_api: + ServeUsageTag.NUM_REPLICAS_VIA_API_CALL_UPDATED.record("True") elif ( self._target_state.version.deployment_config.num_replicas != new_target_state.version.deployment_config.num_replicas @@ -2207,6 +2212,15 @@ def delete(self) -> bool: return False + def set_target_num_replicas( + self, + target_num_replicas: int, + ) -> None: + """Set the target state for the deployment to the provided info.""" + self._set_target_state( + self._target_state.info, target_num_replicas, updated_via_api=True + ) + def _stop_or_update_outdated_version_replicas(self, max_to_stop=math.inf) -> bool: """Stop or update replicas with outdated versions. @@ -3251,6 +3265,37 @@ def delete_deployment(self, id: DeploymentID): return False + def _validate_deployment_state_for_num_replica_update( + self, deployment_id: DeploymentID + ): + """Validate the state of a deployment for num replica update.""" + statuses = self.get_deployment_statuses([deployment_id]) + + if statuses is None or len(statuses) == 0: + raise ValueError(f"Deployment {deployment_id} not found") + elif statuses[0].status_trigger == DeploymentStatusTrigger.DELETING: + raise DeploymentIsBeingDeletedError( + f"Deployment {deployment_id} is being deleted. Scaling operations are not allowed." + ) + + def set_target_num_replicas( + self, deployment_id: DeploymentID, target_num_replicas: int + ): + """Set target number of replicas for a deployment.""" + self._validate_deployment_state_for_num_replica_update(deployment_id) + + deployment_state = self._deployment_states[deployment_id] + if target_num_replicas != deployment_state.target_num_replicas: + logger.info( + f"Target number of replicas changed from {deployment_state.target_num_replicas} to {target_num_replicas} for deployment {deployment_id}" + ) + deployment_state.set_target_num_replicas(target_num_replicas) + self.save_checkpoint() + else: + logger.info( + f"Skipping updating target number of replicas as it did not change for deployment {deployment_id}" + ) + def update(self) -> bool: """Updates the state of all deployments to match their goal state. diff --git a/python/ray/serve/_private/exceptions.py b/python/ray/serve/_private/exceptions.py new file mode 100644 index 000000000000..4859c9d464d5 --- /dev/null +++ b/python/ray/serve/_private/exceptions.py @@ -0,0 +1,4 @@ +class DeploymentIsBeingDeletedError(Exception): + """Raised when an operation is attempted on a deployment that is being deleted.""" + + pass diff --git a/python/ray/serve/_private/usage.py b/python/ray/serve/_private/usage.py index 39db128c5abe..23abd16f4b2c 100644 --- a/python/ray/serve/_private/usage.py +++ b/python/ray/serve/_private/usage.py @@ -37,6 +37,7 @@ class ServeUsageTag(Enum): NUM_NODE_COMPACTIONS = TagKey.SERVE_NUM_NODE_COMPACTIONS AUTO_NUM_REPLICAS_USED = TagKey.SERVE_AUTO_NUM_REPLICAS_USED CUSTOM_REQUEST_ROUTER_USED = TagKey.SERVE_CUSTOM_REQUEST_ROUTER_USED + NUM_REPLICAS_VIA_API_CALL_UPDATED = TagKey.SERVE_NUM_REPLICAS_VIA_API_CALL_UPDATED def record(self, value: str): """Record telemetry value.""" diff --git a/python/ray/serve/schema.py b/python/ray/serve/schema.py index 4e64c3bfc213..d6e659864526 100644 --- a/python/ray/serve/schema.py +++ b/python/ray/serve/schema.py @@ -1359,3 +1359,12 @@ class TaskResult(BaseModel): default=None, description="The timestamp of the task creation." ) result: Any = Field(..., description="The result of the task.") + + +@PublicAPI(stability="alpha") +class ScaleDeploymentRequest(BaseModel): + """Request schema for scaling a deployment's replicas.""" + + target_num_replicas: NonNegativeInt = Field( + description="The target number of replicas for the deployment." + ) diff --git a/python/ray/serve/tests/unit/test_deployment_state.py b/python/ray/serve/tests/unit/test_deployment_state.py index ed5d76f1ef9e..2e70d5aa6698 100644 --- a/python/ray/serve/tests/unit/test_deployment_state.py +++ b/python/ray/serve/tests/unit/test_deployment_state.py @@ -43,6 +43,7 @@ ReplicaStartupStatus, ReplicaStateContainer, ) +from ray.serve._private.exceptions import DeploymentIsBeingDeletedError from ray.serve._private.test_utils import ( MockActorHandle, MockClusterNodeInfoCache, @@ -5062,6 +5063,144 @@ def test_docs_path_not_updated_for_different_version(mock_deployment_state_manag assert ds.docs_path is None +def test_set_target_num_replicas_api(mock_deployment_state_manager): + """Test the new set_target_num_replicas API for scaling deployments.""" + # Create deployment state manager + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy initial deployment with 1 replica + info_1, v1 = deployment_info(version="1", num_replicas=1) + dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + dsm.update() + check_counts(ds, total=1, by_state=[(ReplicaState.STARTING, 1, v1)]) + assert ds.target_num_replicas == 1 + + # Test scaling up using the new API + dsm.set_target_num_replicas(TEST_DEPLOYMENT_ID, 3) + assert ds.target_num_replicas == 3 + + dsm.update() + check_counts(ds, total=3, by_state=[(ReplicaState.STARTING, 3, v1)]) + + +def test_set_target_num_replicas_nonexistent_deployment(mock_deployment_state_manager): + """Test that scaling nonexistent deployment raises KeyError.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + nonexistent_id = DeploymentID("nonexistent", "test_app") + + with pytest.raises(ValueError, match="Deployment.*not found"): + dsm.set_target_num_replicas(nonexistent_id, 3) + + +def test_set_target_num_replicas_during_upgrade(mock_deployment_state_manager): + """Test setting target replicas while an upgrade is ongoing.""" + + # Create deployment state manager + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy initial deployment (v1) with 2 replicas + info_1, v1 = deployment_info(version="1", num_replicas=2) + dsm.deploy(TEST_DEPLOYMENT_ID, info_1) + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + + dsm.update() + check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) + assert ds.target_num_replicas == 2 + + # Get replicas to RUNNING state + for replica in ds._replicas.get([ReplicaState.STARTING]): + replica._actor.set_ready() + + dsm.update() + check_counts(ds, total=2, by_state=[(ReplicaState.RUNNING, 2, v1)]) + + # Start an upgrade to v2 with 2 replicas + info_2, v2 = deployment_info(version="2", num_replicas=2) + dsm.deploy(TEST_DEPLOYMENT_ID, info_2) + dsm.update() + + check_counts( + ds, + total=3, + by_state=[ + (ReplicaState.STARTING, 1, v2), + (ReplicaState.RUNNING, 1, v1), + (ReplicaState.STOPPING, 1, v1), + ], + ) + assert ds.target_num_replicas == 2 + + # Scale up to 5 replicas in the middle of the upgrade. + dsm.set_target_num_replicas(TEST_DEPLOYMENT_ID, 5) + assert ds.target_num_replicas == 5 + + def dsm_update(): + for replica in ds._replicas.get([ReplicaState.STOPPING]): + replica._actor.set_done_stopping() + for replica in ds._replicas.get([ReplicaState.STARTING]): + replica._actor.set_ready() + dsm.update() + + dsm_update() + check_counts( + ds, + total=5, + by_state=[ + (ReplicaState.STARTING, 3, v2), + (ReplicaState.RUNNING, 1, v1), + (ReplicaState.RUNNING, 1, v2), + ], + ) + + dsm_update() + check_counts( + ds, + total=6, + by_state=[ + (ReplicaState.STARTING, 1, v2), + (ReplicaState.RUNNING, 4, v2), + (ReplicaState.STOPPING, 1, v1), + ], + ) + + dsm_update() + check_counts(ds, total=5, by_state=[(ReplicaState.RUNNING, 5, v2)]) + + assert ds.target_num_replicas == 5 + + +def test_set_target_num_replicas_deleting_deployment(mock_deployment_state_manager): + """Test scaling deployment that is being deleted.""" + create_dsm, _, _, _ = mock_deployment_state_manager + dsm: DeploymentStateManager = create_dsm() + + # Deploy an initial deployment + info, v1 = deployment_info(num_replicas=2, version="v1") + dsm.deploy(TEST_DEPLOYMENT_ID, info) + + ds: DeploymentState = dsm._deployment_states[TEST_DEPLOYMENT_ID] + dsm.update() + + check_counts(ds, total=2, by_state=[(ReplicaState.STARTING, 2, v1)]) + + # Delete the deployment + dsm.delete_deployment(TEST_DEPLOYMENT_ID) + + # The deployment status should be DELETING + statuses = dsm.get_deployment_statuses([TEST_DEPLOYMENT_ID]) + assert statuses[0].status_trigger == DeploymentStatusTrigger.DELETING + + # Scaling should fail + with pytest.raises(DeploymentIsBeingDeletedError): + dsm.set_target_num_replicas(TEST_DEPLOYMENT_ID, 3) + + class TestDeploymentRankManagerIntegrationE2E: """End-to-end integration tests for rank functionality through deployment state manager.""" diff --git a/src/ray/protobuf/usage.proto b/src/ray/protobuf/usage.proto index 21e210b9a59f..4fea6c75560d 100644 --- a/src/ray/protobuf/usage.proto +++ b/src/ray/protobuf/usage.proto @@ -100,6 +100,8 @@ enum TagKey { SERVE_AUTO_NUM_REPLICAS_USED = 31; // Whether custom request router was used ("1" if used) SERVE_CUSTOM_REQUEST_ROUTER_USED = 32; + // Whether num_replicas changed via manual API call + SERVE_NUM_REPLICAS_VIA_API_CALL_UPDATED = 33; // Ray Core State API // NOTE(rickyxx): Currently only setting "1" for tracking existence of From 74fbb50ae5d10f57c71c80cd43ab199a5823c140 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 25 Sep 2025 09:52:12 -0700 Subject: [PATCH 1399/1566] [ci] release test: including python_depset in custom byod config for release tests (1/2) (#56602) including optional `lock_file` field for custom byod images This lock file will be copied from the release/ray_release/byod/ path and into /home/ray/lock_file.lock on the image updated unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- release/ray_release/byod/build.py | 30 ++++++++++++------- .../ray_release/byod/byod.custom.Dockerfile | 4 +++ release/ray_release/byod/dummy.lock | 0 .../custom_byod_build_init_helper.py | 7 +++-- release/ray_release/schema.json | 3 ++ .../ray_release/scripts/custom_byod_build.py | 13 ++++++-- release/ray_release/scripts/ray_bisect.py | 1 + release/ray_release/test.py | 6 ++++ release/ray_release/tests/test_byod_build.py | 1 + .../tests/test_custom_byod_build.py | 22 ++++++++++++++ .../test_custom_byod_build_init_helper.py | 17 +++++++++-- 11 files changed, 87 insertions(+), 17 deletions(-) create mode 100644 release/ray_release/byod/dummy.lock diff --git a/release/ray_release/byod/build.py b/release/ray_release/byod/build.py index 882a73c24859..b0fd75d6fa15 100644 --- a/release/ray_release/byod/build.py +++ b/release/ray_release/byod/build.py @@ -20,7 +20,10 @@ def build_anyscale_custom_byod_image( - image: str, base_image: str, post_build_script: str + image: str, + base_image: str, + post_build_script: str, + python_depset: Optional[str] = None, ) -> None: if _image_exist(image): logger.info(f"Image {image} already exists") @@ -28,21 +31,28 @@ def build_anyscale_custom_byod_image( env = os.environ.copy() env["DOCKER_BUILDKIT"] = "1" - subprocess.check_call( + docker_build_cmd = [ + "docker", + "build", + "--progress=plain", + "--build-arg", + f"BASE_IMAGE={base_image}", + "--build-arg", + f"POST_BUILD_SCRIPT={post_build_script}", + ] + if python_depset: + docker_build_cmd.extend(["--build-arg", f"PYTHON_DEPSET={python_depset}"]) + docker_build_cmd.extend( [ - "docker", - "build", - "--progress=plain", - "--build-arg", - f"BASE_IMAGE={base_image}", - "--build-arg", - f"POST_BUILD_SCRIPT={post_build_script}", "-t", image, "-f", os.path.join(RELEASE_BYOD_DIR, "byod.custom.Dockerfile"), RELEASE_BYOD_DIR, - ], + ] + ) + subprocess.check_call( + docker_build_cmd, stdout=sys.stderr, env=env, ) diff --git a/release/ray_release/byod/byod.custom.Dockerfile b/release/ray_release/byod/byod.custom.Dockerfile index 432ddeef3138..1ca168b41682 100644 --- a/release/ray_release/byod/byod.custom.Dockerfile +++ b/release/ray_release/byod/byod.custom.Dockerfile @@ -6,5 +6,9 @@ FROM "$BASE_IMAGE" ARG POST_BUILD_SCRIPT +ARG PYTHON_DEPSET=dummy.lock + +COPY "$PYTHON_DEPSET" python_depset.lock + COPY "$POST_BUILD_SCRIPT" /tmp/post_build_script.sh RUN /tmp/post_build_script.sh diff --git a/release/ray_release/byod/dummy.lock b/release/ray_release/byod/dummy.lock new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index 15feeffcadb7..c4160c9d64d1 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -20,7 +20,7 @@ def generate_custom_build_step_key(image: str) -> str: def get_images_from_tests( tests: List[Test], build_id: str -) -> List[Tuple[str, str, str]]: +) -> List[Tuple[str, str, str, str]]: """Get a list of custom BYOD images to build from a list of tests.""" custom_byod_images = set() for test in tests: @@ -30,6 +30,7 @@ def get_images_from_tests( test.get_anyscale_byod_image(build_id), test.get_anyscale_base_byod_image(build_id), test.get_byod_post_build_script(), + test.get_byod_python_depset(), ) logger.info(f"To be built: {custom_byod_image_build[0]}") custom_byod_images.add(custom_byod_image_build) @@ -46,7 +47,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: return build_config = {"group": "Custom images build", "steps": []} ray_want_commit = os.getenv("RAY_WANT_COMMIT_IN_IMAGE", "") - for image, base_image, post_build_script in custom_byod_images: + for image, base_image, post_build_script, python_depset in custom_byod_images: logger.info( f"Building custom BYOD image: {image}, base image: {base_image}, post build script: {post_build_script}" ) @@ -63,7 +64,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: "bash release/gcloud_docker_login.sh release/aws2gce_iam.json", "export PATH=$(pwd)/google-cloud-sdk/bin:$$PATH", f"aws ecr get-login-password --region {config['byod_ecr_region']} | docker login --username AWS --password-stdin {config['byod_ecr']}", - f"bazelisk run //release:custom_byod_build -- --image-name {image} --base-image {base_image} --post-build-script {post_build_script}", + f"bazelisk run //release:custom_byod_build -- --image-name {image} --base-image {base_image} --post-build-script {post_build_script} {f'--python-depset {python_depset}' if python_depset else ''}", ], } step["depends_on"] = get_prerequisite_step(image) diff --git a/release/ray_release/schema.json b/release/ray_release/schema.json index 7ad30d9c3ce1..9e84307e7673 100644 --- a/release/ray_release/schema.json +++ b/release/ray_release/schema.json @@ -108,6 +108,9 @@ "post_build_script": { "type": "string" }, + "python_depset": { + "type": "string" + }, "pip": { "type": "array" }, diff --git a/release/ray_release/scripts/custom_byod_build.py b/release/ray_release/scripts/custom_byod_build.py index c773b46ff5ca..26f0183f06d7 100644 --- a/release/ray_release/scripts/custom_byod_build.py +++ b/release/ray_release/scripts/custom_byod_build.py @@ -1,13 +1,22 @@ import click from ray_release.byod.build import build_anyscale_custom_byod_image +from typing import Optional @click.command() @click.option("--image-name", type=str, required=True) @click.option("--base-image", type=str, required=True) @click.option("--post-build-script", type=str, required=True) -def main(image_name: str, base_image: str, post_build_script: str): - build_anyscale_custom_byod_image(image_name, base_image, post_build_script) +@click.option("--python-depset", type=str) +def main( + image_name: str, + base_image: str, + post_build_script: str, + python_depset: Optional[str], +): + build_anyscale_custom_byod_image( + image_name, base_image, post_build_script, python_depset + ) if __name__ == "__main__": diff --git a/release/ray_release/scripts/ray_bisect.py b/release/ray_release/scripts/ray_bisect.py index 257519d620e4..57d284cae974 100644 --- a/release/ray_release/scripts/ray_bisect.py +++ b/release/ray_release/scripts/ray_bisect.py @@ -183,6 +183,7 @@ def _trigger_test_run( test.get_anyscale_byod_image(), test.get_anyscale_base_byod_image(), test.get_byod_post_build_script(), + test.get_byod_python_depset(), ) for run in range(run_per_commit): step = get_step( diff --git a/release/ray_release/test.py b/release/ray_release/test.py index 8335c424a8b9..962631b8e98a 100644 --- a/release/ray_release/test.py +++ b/release/ray_release/test.py @@ -434,6 +434,12 @@ def get_byod_post_build_script(self) -> Optional[str]: """ return self["cluster"]["byod"].get("post_build_script") + def get_byod_python_depset(self) -> Optional[str]: + """ + Returns the lock file path. + """ + return self["cluster"]["byod"].get("python_depset", None) + def get_byod_runtime_env(self) -> Dict[str, str]: """ Returns the runtime environment variables for the BYOD cluster. diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 039d302182a0..85d9907db0de 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -70,6 +70,7 @@ def _mock_check_call( test.get_anyscale_byod_image(), test.get_anyscale_base_byod_image(), test.get_byod_post_build_script(), + test.get_byod_python_depset(), ) assert "docker build --build-arg BASE_IMAGE=029272617770.dkr.ecr.us-west-2." "amazonaws.com/anyscale/ray:a1b2c3d4-py37 -t 029272617770.dkr.ecr.us-west-2." diff --git a/release/ray_release/tests/test_custom_byod_build.py b/release/ray_release/tests/test_custom_byod_build.py index 7e29a352096d..9b24f676e94e 100644 --- a/release/ray_release/tests/test_custom_byod_build.py +++ b/release/ray_release/tests/test_custom_byod_build.py @@ -8,6 +8,28 @@ @patch("ray_release.scripts.custom_byod_build.build_anyscale_custom_byod_image") def test_custom_byod_build(mock_build_anyscale_custom_byod_image): + mock_build_anyscale_custom_byod_image.return_value = None + runner = CliRunner() + result = runner.invoke( + main, + [ + "--image-name", + "test-image", + "--base-image", + "test-base-image", + "--post-build-script", + "test_post_build_script.sh", + "--python-depset", + "python_depset.lock", + ], + ) + assert result.exit_code == 0 + + +@patch("ray_release.scripts.custom_byod_build.build_anyscale_custom_byod_image") +def test_custom_byod_build_without_lock_file( + mock_build_anyscale_custom_byod_image, +): mock_build_anyscale_custom_byod_image.return_value = None runner = CliRunner() result = runner.invoke( diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py index 0119e7f24247..df0a801cec99 100644 --- a/release/ray_release/tests/test_custom_byod_build_init_helper.py +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -28,13 +28,26 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): "ray-project/ray-ml:abc123-custom", "ray-project/ray-ml:abc123-base", "custom_script.sh", + None, + ), + ( + "ray-project/ray-ml:abc123-custom", + "ray-project/ray-ml:abc123-base", + "", + None, ), - ("ray-project/ray-ml:abc123-custom", "ray-project/ray-ml:abc123-base", ""), ( "ray-project/ray-ml:nightly-py37-cpu-custom-abcdef123456789abc123456789", "ray-project/ray-ml:nightly-py37-cpu-base", "custom_script.sh", + None, ), # longer than 40 chars + ( + "ray-project/ray-ml:nightly-py37-cpu-custom-abcdef123456789abc123456789", + "ray-project/ray-ml:nightly-py37-cpu-base", + "custom_script.sh", + "python_depset.lock", + ), ] mock_get_images_from_tests.return_value = custom_byod_images @@ -62,7 +75,7 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): with open(os.path.join(tmpdir, "custom_byod_build.rayci.yml"), "r") as f: content = yaml.safe_load(f) assert content["group"] == "Custom images build" - assert len(content["steps"]) == 2 + assert len(content["steps"]) == 3 assert ( "export RAY_WANT_COMMIT_IN_IMAGE=abc123" in content["steps"][0]["commands"][0] From 09918daabbad79141ee1ba5c42b28d279a031f75 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 25 Sep 2025 09:52:52 -0700 Subject: [PATCH 1400/1566] [release][deps] custom byod release test using python_depset (2/2) (#56893) Adding release test using lock file --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .../hello_world_tests/hello_world_emoji.py | 15 +++++++++++++ release/ray_release/byod/byod_hello_world.sh | 6 ++++++ release/ray_release/byod/emoji.lock | 6 ++++++ release/release_tests.yaml | 21 +++++++++++++++++++ 4 files changed, 48 insertions(+) create mode 100644 release/hello_world_tests/hello_world_emoji.py create mode 100755 release/ray_release/byod/byod_hello_world.sh create mode 100644 release/ray_release/byod/emoji.lock diff --git a/release/hello_world_tests/hello_world_emoji.py b/release/hello_world_tests/hello_world_emoji.py new file mode 100644 index 000000000000..e87713eb8266 --- /dev/null +++ b/release/hello_world_tests/hello_world_emoji.py @@ -0,0 +1,15 @@ +import ray +import emoji + + +@ray.remote +def hello_world_emoji(): + return emoji.emojize(":globe_showing_Americas:") + + +def main(): + print(ray.get(hello_world_emoji.remote())) + + +if __name__ == "__main__": + main() diff --git a/release/ray_release/byod/byod_hello_world.sh b/release/ray_release/byod/byod_hello_world.sh new file mode 100755 index 000000000000..3ea1f557c51f --- /dev/null +++ b/release/ray_release/byod/byod_hello_world.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +set -exo pipefail + +# Install Python dependencies +uv pip install -r python_depset.lock --system --no-deps --index-strategy unsafe-best-match diff --git a/release/ray_release/byod/emoji.lock b/release/ray_release/byod/emoji.lock new file mode 100644 index 000000000000..35297b4cc798 --- /dev/null +++ b/release/ray_release/byod/emoji.lock @@ -0,0 +1,6 @@ +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu + +emoji==2.10.0 \ + --hash=sha256:7e68435eecd2c428c3b4aaa5f72d61a5b1a36c81a5138681cba13d19d94aa3a0 \ + --hash=sha256:aed4332caa23553a7218f032c08b0a325ae53b010f7fb98ad272c0f7841bc1d3 diff --git a/release/release_tests.yaml b/release/release_tests.yaml index f4da3ce7d20c..1e99127d7156 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -96,6 +96,27 @@ variations: - __suffix__: aws +- name: hello_world_custom_byod + team: reef + group: hello_world_custom_byod + frequency: nightly + working_dir: hello_world_tests + + cluster: + byod: + type: gpu + post_build_script: byod_hello_world.sh + python_depset: emoji.lock + cluster_compute: hello_world_compute_config.yaml + + run: + timeout: 1800 + script: python hello_world_emoji.py + + variations: + - __suffix__: aws + + ####################### # Cluster scaling tests ####################### From 642a1bdbb05ee3b5524d58cd88ad9ee4f6e9d5be Mon Sep 17 00:00:00 2001 From: Sneha Chhabria <59101963+snehachhabria@users.noreply.github.com> Date: Thu, 25 Sep 2025 10:15:44 -0700 Subject: [PATCH 1401/1566] Application Gateway for Containers as ingress to access Ray Cluster (#56574) This PR adds documentation on how to leverage [Application Gateway for Containers (AGC)](https://learn.microsoft.com/en-us/azure/application-gateway/for-containers/overview) as an ingress for ray clusters --------- Signed-off-by: Sneha Chhabria Signed-off-by: Douglas Strodtman --- .../kubernetes/k8s-ecosystem/ingress.md | 178 +++++++++++++++++- 1 file changed, 177 insertions(+), 1 deletion(-) diff --git a/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md b/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md index ff60913bbab3..2b5e1dae8bfe 100644 --- a/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md +++ b/doc/source/cluster/kubernetes/k8s-ecosystem/ingress.md @@ -2,11 +2,12 @@ # Ingress -Three examples show how to use ingress to access your Ray cluster: +Four examples show how to use ingress to access your Ray cluster: * [AWS Application Load Balancer (ALB) Ingress support on AWS EKS](kuberay-aws-alb) * [GKE Ingress support](kuberay-gke-ingress) * [Manually setting up NGINX Ingress on Kind](kuberay-nginx) + * [Azure Application Gateway for Containers Gateway API support on AKS](kuberay-aks-agc) ```{admonition} Warning @@ -209,3 +210,178 @@ kubectl describe ingress raycluster-ingress-head-ingress # [Note] The forward slash at the end of the address is necessary. `/raycluster-ingress` # will report "404 Not Found". ``` + +(kuberay-aks-agc)= +## Azure Application Gateway for Containers Gateway API support on AKS + +### Prerequisites +* Create an AKS cluster. See [Quickstart: Deploy an Azure Kubernetes Service (AKS) cluster using Azure CLI](https://learn.microsoft.com/azure/aks/learn/quick-kubernetes-deploy-cli). + +* Deploy Application Gateway for Containers ALB Controller [Quickstart: Deploy Application Gateway for Containers ALB Controller](https://learn.microsoft.com/azure/application-gateway/for-containers/quickstart-deploy-application-gateway-for-containers-alb-controller?tabs=install-helm-windows). + +* Deploy Application Gateway for Containers [Quickstart: Create Application Gateway for Containers managed by ALB Controller](https://learn.microsoft.com/azure/application-gateway/for-containers/quickstart-create-application-gateway-for-containers-managed-by-alb-controller?tabs=new-subnet-aks-vnet) + +* (Optional) Read [What is Application Gateway for Containers](https://learn.microsoft.com/azure/application-gateway/for-containers/overview). + +* (Optional) Read [Secure your web applications with Azure Web Application Firewall on Application Gateway for Containers](https://learn.microsoft.com/azure/application-gateway/for-containers/web-application-firewall) + +### Instructions +```sh +# Step 1: Install KubeRay operator and CRD +helm repo add kuberay https://ray-project.github.io/kuberay-helm/ +helm repo update +helm install kuberay-operator kuberay/kuberay-operator --version 1.4.2 + +# Step 2: Install a RayCluster +helm install raycluster kuberay/ray-cluster --version 1.4.2 + +# Step 3: Edit the `ray-operator/config/samples/ray-cluster-agc-gatewayapi.yaml` +# +# (1) Annotation `alb.networking.azure.io/alb-namespace` +# 1. Please update this to the namespace of your alb custom resource. +# +# (2) Annotation `alb.networking.azure.io/alb-name` +# 1. Please update this to the name of your alb custom resource. + +# Step 4: Check gateway and http route created by Step 3. +kubectl describe gateway ray-cluster-gateway + +# [Example] +# Name: ray-cluster-gateway +# Namespace: default +# Labels: +# Annotations: +# alb.networking.azure.io/alb-namespace: alb-test-infra +# alb.networking.azure.io/alb-name: alb-test +# API Version: gateway.networking.k8s.io/v1 +# Kind: Gateway +# Metadata: +# Creation Timestamp: 2025-09-12T04:44:18Z +# Generation: 1 +# Resource Version: 247986 +# UID: 88c40c06-83fe-4ef3-84e1-7bc36c9b5b43 +# Spec: +# Gateway Class Name: azure-alb-external +# Listeners: +# Allowed Routes: +# Namespaces: +# From: Same +# Name: http +# Port: 80 +# Protocol: HTTP +# Status: +# Addresses: +# Type: Hostname +# Value: xxxx.yyyy.alb.azure.com +# Conditions: +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Valid Gateway +# Observed Generation: 1 +# Reason: Accepted +# Status: True +# Type: Accepted +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Application Gateway for Containers resource has been successfully updated. +# Observed Generation: 1 +# Reason: Programmed +# Status: True +# Type: Programmed +# Listeners: +# Attached Routes: 1 +# Conditions: +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: +# Observed Generation: 1 +# Reason: ResolvedRefs +# Status: True +# Type: ResolvedRefs +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Listener is Accepted +# Observed Generation: 1 +# Reason: Accepted +# Status: True +# Type: Accepted +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Application Gateway for Containers resource has been successfully updated. +# Observed Generation: 1 +# Reason: Programmed +# Status: True +# Type: Programmed +# Name: http +# Supported Kinds: +# Group: gateway.networking.k8s.io +# Kind: HTTPRoute +# Group: gateway.networking.k8s.io +# Kind: GRPCRoute +# Events: + +kubectl describe httproutes ray-cluster-http-route + +# [Example] +# Name: ray-cluster-http-route +# Namespace: default +# Labels: +# Annotations: +# API Version: gateway.networking.k8s.io/v1 +# Kind: HTTPRoute +# Metadata: +# Creation Timestamp: 2025-09-12T04:44:43Z +# Generation: 2 +# Resource Version: 247982 +# UID: 54bbd1e6-bd28-4cae-a469-e15105f077b8 +# Spec: +# Parent Refs: +# Group: gateway.networking.k8s.io +# Kind: Gateway +# Name: ray-cluster-gateway +# Rules: +# Backend Refs: +# Group: +# Kind: Service +# Name: raycluster-kuberay-head-svc +# Port: 8265 +# Weight: 1 +# Matches: +# Path: +# Type: PathPrefix +# Value: / +# Status: +# Parents: +# Conditions: +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: +# Observed Generation: 2 +# Reason: ResolvedRefs +# Status: True +# Type: ResolvedRefs +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Route is Accepted +# Observed Generation: 2 +# Reason: Accepted +# Status: True +# Type: Accepted +# Last Transition Time: 2025-09-12T04:49:30Z +# Message: Application Gateway for Containers resource has been successfully updated. +# Observed Generation: 2 +# Reason: Programmed +# Status: True +# Type: Programmed +# Controller Name: alb.networking.azure.io/alb-controller +# Parent Ref: +# Group: gateway.networking.k8s.io +# Kind: Gateway +# Name: ray-cluster-gateway +# Events: + +# Step 5: Check Ray Dashboard by visiting the FQDN assigned to your gateway object in your browser +# FQDN can be obtained by the command: +# kubectl get gateway ray-cluster-gateway -o jsonpath='{.status.addresses[0].value}' + +# Step 6: Delete the gateway and http route +kubectl delete gateway ray-cluster-gateway +kubectl delete httproutes ray-cluster-http-route + +# Step 7: Delete Application Gateway for containers +kubectl delete applicationloadbalancer alb-test -n alb-test-infra +kubectl delete ns alb-test-infra +``` From cb2a4894963aa64fcea26822356ff2a7fcde1c38 Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Thu, 25 Sep 2025 23:34:00 +0530 Subject: [PATCH 1402/1566] shorten env variants name (#56926) - shorten the name for the env var, as the final path were crossing the threshold of 260 in windows, for the earlier used names Screenshot 2025-09-25 at 13 24 22 --------- Signed-off-by: harshit Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD.bazel | 12 ++++++------ python/ray/serve/tests/unit/BUILD.bazel | 12 ++++++------ 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index d8aceb2d7647..301c1df1ea8a 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -321,30 +321,30 @@ py_test( py_test_module_list_with_env_variants( size = "large", env_variants = { - "with_metr_disab": { + "metr_disab": { "env": { "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", # Make sure queued metrics are cleared out quickly. "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", }, - "name_suffix": "_with_metr_disab", + "name_suffix": "_metr_disab", }, - "with_metr_agg_at_controller": { + "metr_agg_at_controller": { "env": { "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", # Make sure queued metrics are cleared out quickly. "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", }, - "name_suffix": "_with_metr_agg_at_controller", + "name_suffix": "_metr_agg_at_controller", }, - "with_metr_agg_at_controller_and_metr_on_replicas": { + "metr_agg_at_controller_and_replicas": { "env": { "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", # Make sure queued metrics are cleared out quickly. "RAY_SERVE_HANDLE_AUTOSCALING_METRIC_PUSH_INTERVAL_S": "0.1", }, - "name_suffix": "_with_metr_agg_at_controller_and_metr_on_replicas", + "name_suffix": "_metr_agg_at_controller_and_replicas", }, }, files = [ diff --git a/python/ray/serve/tests/unit/BUILD.bazel b/python/ray/serve/tests/unit/BUILD.bazel index db2a131b9ff0..329389c612b1 100644 --- a/python/ray/serve/tests/unit/BUILD.bazel +++ b/python/ray/serve/tests/unit/BUILD.bazel @@ -43,28 +43,28 @@ py_test_module_list( py_test_module_list_with_env_variants( env_variants = { - "with_metr_disab": { + "metr_disab": { "env": { "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", }, - "name_suffix": "_with_metr_disab", + "name_suffix": "_metr_disab", }, - "with_metr_agg_at_controller": { + "metr_agg_at_controller": { "env": { "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "1", "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", }, - "name_suffix": "_with_metr_agg_at_controller", + "name_suffix": "_metr_agg_at_controller", }, - "with_metr_agg_at_controller_and_metr_on_replicas": { + "metr_agg_at_controller_and_replicas": { "env": { "RAY_SERVE_AGGREGATE_METRICS_AT_CONTROLLER": "1", "RAY_SERVE_COLLECT_AUTOSCALING_METRICS_ON_HANDLE": "0", "RAY_SERVE_FAIL_ON_RANK_ERROR": "1", }, - "name_suffix": "_with_metr_agg_at_controller_and_metr_on_replicas", + "name_suffix": "_metr_agg_at_controller_and_replicas", }, }, files = [ From c479f9aff8eefb049ca575650da1837334dea542 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Thu, 25 Sep 2025 13:08:17 -0500 Subject: [PATCH 1403/1566] [core] Use `start_ray_shared` in `test_runtime_env.py::test_runtime_env_error_includes_node_ip` (#56932) All of the other tests in this file use shared cluster. I think this is causing redis tests to fail. Closes https://github.com/ray-project/ray/issues/53509 --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_runtime_env.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/python/ray/tests/test_runtime_env.py b/python/ray/tests/test_runtime_env.py index c56b63c044ff..d3561be607e8 100644 --- a/python/ray/tests/test_runtime_env.py +++ b/python/ray/tests/test_runtime_env.py @@ -169,14 +169,16 @@ def run(runtime_env): run(runtime_env) -def test_runtime_env_error_includes_node_ip(shutdown_only): +def test_runtime_env_error_includes_node_ip(start_cluster_shared): """Test that RuntimeEnv errors include node IP information for debugging.""" - fast_timeout_config = {"setup_timeout_seconds": 1} - # Test with invalid pip package to trigger RuntimeEnvSetupError + _, address = start_cluster_shared + ray.init(address=address) + + # Test with invalid pip package to trigger RuntimeEnvSetupError. @ray.remote( runtime_env={ "pip": ["nonexistent-package"], - "config": fast_timeout_config, + "config": {"setup_timeout_seconds": 1}, } ) def f(): From 4d14af33d3647d04f3e5096216248cc632243b3d Mon Sep 17 00:00:00 2001 From: Mark Rossetti Date: Thu, 25 Sep 2025 18:28:48 +0000 Subject: [PATCH 1404/1566] [Core] [Azure] Adding ability to specify availability zones for ray cluster node pools on Azure (#55532) Adds ability to specify availability zones for each node pool in a ray cluster deployment on Azure. Sometimes VM quota (especially for GPU VM SKUs) are only given per availability zone so without these changes users might not be able to use GPU enabled VM SKUs Fixes: https://github.com/ray-project/ray/issues/39966 --------- Signed-off-by: Mark Rossett Signed-off-by: Douglas Strodtman --- .../references/ray-cluster-configuration.rst | 25 +- .../_private/_azure/azure-vm-template.json | 12 +- .../_private/_azure/node_provider.py | 160 ++++++- python/ray/autoscaler/azure/defaults.yaml | 11 + .../azure/example-availability-zones.yaml | 76 ++++ python/ray/tests/BUILD.bazel | 1 + python/ray/tests/test_autoscaler_azure.py | 400 ++++++++++++++++++ 7 files changed, 679 insertions(+), 6 deletions(-) create mode 100644 python/ray/autoscaler/azure/example-availability-zones.yaml create mode 100644 python/ray/tests/test_autoscaler_azure.py diff --git a/doc/source/cluster/vms/references/ray-cluster-configuration.rst b/doc/source/cluster/vms/references/ray-cluster-configuration.rst index f10dfde25b45..6be8a261e33e 100644 --- a/doc/source/cluster/vms/references/ray-cluster-configuration.rst +++ b/doc/source/cluster/vms/references/ray-cluster-configuration.rst @@ -127,6 +127,7 @@ Provider :ref:`type `: str :ref:`location `: str + :ref:`availability_zone `: str :ref:`resource_group `: str :ref:`subscription_id `: str :ref:`msi_name `: str @@ -953,7 +954,29 @@ The user that Ray will authenticate with when launching new nodes. .. tab-item:: Azure - Not available. + A string specifying a comma-separated list of availability zone(s) that nodes may be launched in. + This can be specified at the provider level to set defaults for all node types, or at the node level + to override the provider setting for specific node types. + + For Azure, availability zone availability depends on each specific VM size / location combination. + Node-level configuration in ``available_node_types..node_config.azure_arm_parameters.availability_zone`` + takes precedence over provider-level configuration. + + * **Required:** No + * **Importance:** Low + * **Type:** String + * **Default:** "auto" (let Azure automatically pick zones) + * **Example values:** + + * ``"1,2,3"`` - Use zones 1, 2, and 3 + * ``"1"`` - Use only zone 1 + * ``"none"`` - Explicitly disable zones + * ``"auto"`` or omit - Let Azure automatically pick zones + + See the following example Azure cluster config for more details: + + .. literalinclude:: ../../../../../python/ray/autoscaler/azure/example-availability-zones.yaml + :language: yaml .. tab-item:: GCP diff --git a/python/ray/autoscaler/_private/_azure/azure-vm-template.json b/python/ray/autoscaler/_private/_azure/azure-vm-template.json index 261ed06b2685..e32d9ad69c74 100644 --- a/python/ray/autoscaler/_private/_azure/azure-vm-template.json +++ b/python/ray/autoscaler/_private/_azure/azure-vm-template.json @@ -132,10 +132,18 @@ "metadata": { "descriptions": "Whether to enable accelerated networking." } + }, + "zones": { + "type": "array", + "defaultValue": [], + "metadata": { + "description": "Availability zones for the virtual machine. If empty, no zones will be specified." + } } }, "variables": { "location": "[resourceGroup().location]", + "useZones": "[greater(length(parameters('zones')), 0)]", "networkInterfaceNamePrivate": "[concat(parameters('vmName'), '-nic')]", "networkInterfaceNamePublic": "[concat(parameters('vmName'), '-nic-public')]", "networkInterfaceName": "[if(parameters('provisionPublicIp'), variables('networkInterfaceNamePublic'), variables('networkInterfaceNamePrivate'))]", @@ -219,8 +227,9 @@ "name": "PublicIpCopy", "count": "[parameters('vmCount')]" }, + "zones": "[if(variables('useZones'), createArray(string(parameters('zones')[mod(copyIndex(), length(parameters('zones')))])), json('null'))]", "sku": { - "name": "Basic", + "name": "[if(variables('useZones'), 'Standard', 'Basic')]", "tier": "Regional" }, "condition": "[parameters('provisionPublicIp')]" @@ -238,6 +247,7 @@ "count": "[parameters('vmCount')]" }, "tags": "[parameters('vmTags')]", + "zones": "[if(variables('useZones'), createArray(string(parameters('zones')[mod(copyIndex(), length(parameters('zones')))])), json('null'))]", "properties": { "hardwareProfile": { "vmSize": "[parameters('vmSize')]" diff --git a/python/ray/autoscaler/_private/_azure/node_provider.py b/python/ray/autoscaler/_private/_azure/node_provider.py index e07d96deef21..21adb51b8710 100644 --- a/python/ray/autoscaler/_private/_azure/node_provider.py +++ b/python/ray/autoscaler/_private/_azure/node_provider.py @@ -4,6 +4,7 @@ from concurrent.futures import Future, ThreadPoolExecutor from pathlib import Path from threading import RLock +from typing import List, Optional from uuid import uuid4 from azure.core.exceptions import ResourceNotFoundError @@ -163,6 +164,96 @@ def _extract_metadata(self, vm): return metadata + def _get_zones_for_vm_size(self, vm_size, location): + """Get usable availability zones for a given VM size in a specific location.""" + try: + # Note: Azure ResourceSKUs API filters don't work reliably(?), so we query all SKUs + # and filter in code. Each SKU object represents one location for the VM size. + skus = self.compute_client.resource_skus.list() + + for sku in skus: + if sku.name == vm_size and sku.location_info: + # Each SKU object represents one location, check if it matches our target + for location_info in sku.location_info: + if location_info.location.lower() == location.lower(): + zones = location_info.zones if location_info.zones else [] + logger.debug( + f"Found {vm_size} in {location} with zones: {zones}" + ) + return sorted(zones) + + logger.warning(f"No zones found for {vm_size} in {location}") + return [] # No zones available for this VM size + except Exception as e: + logger.warning( + f"Failed to get zones for VM size {vm_size} in location {location}: {str(e)}" + ) + return [] + + def _parse_availability_zones( + self, availability_zone_config: Optional[str] + ) -> Optional[List[str]]: + """Parse availability_zone configuration from comma-separated string format. + + Args: + availability_zone_config: Can be: + - String: comma-separated zones like "1,2,3" + - "none": explicitly disable zones + - "auto": let Azure automatically pick zones + - None: no zones specified (defaults to letting Azure pick) + + Returns: + List of zone strings, or None if zones explicitly disabled, or [] if auto/unspecified + """ + if availability_zone_config is None: + return [] # Auto - let Azure pick + + # Handle string format (AWS-style comma-separated) + if isinstance(availability_zone_config, str): + # Strip whitespace and split by comma + zones = [zone.strip() for zone in availability_zone_config.split(",")] + + # Handle special cases (case-insensitive) + if len(zones) == 1: + zone_lower = zones[0].lower() + if zone_lower in ["none", "null"]: + return None # Explicitly disabled + elif zone_lower == "auto": + return [] # Auto - let Azure pick + + # Handle empty string or whitespace-only + if not zones or all(not zone for zone in zones): + return [] # Auto - let Azure pick + return zones + + # Unsupported format + raise ValueError( + f"availability_zone must be a string, got {type(availability_zone_config).__name__}: {availability_zone_config!r}" + ) + + def _validate_zones_for_node_pool(self, zones, location, vm_size): + """Validate that the specified zones are available for the given VM size in the location.""" + # Special case: zones=None means explicitly disabled availability zones + if zones is None: + logger.info( + "Zones explicitly disabled with 'none' - will create VM without an availability zone" + ) + return None # Special return value to indicate "no zones by choice" + + vm_zones = self._get_zones_for_vm_size(vm_size, location) + + available_zones = set(vm_zones) + if not available_zones: + logger.warning("No zones available for this VM size and location") + return [] + + if zones: + requested_zones = {str(z) for z in zones} + intersection = sorted(available_zones.intersection(requested_zones)) + return intersection + + return sorted(available_zones) + def stopped_nodes(self, tag_filters): """Return a list of stopped node ids filtered by the specified tags dict.""" nodes = self._get_filtered_nodes(tag_filters=tag_filters) @@ -253,6 +344,43 @@ def create_node(self, node_config, tags, count): def _create_node(self, node_config, tags, count): """Creates a number of nodes within the namespace.""" resource_group = self.provider_config["resource_group"] + location = self.provider_config["location"] + vm_size = node_config["azure_arm_parameters"]["vmSize"] + + # Determine availability zones with precedence: node-level > provider-level + # Check for "availability_zone" field in node config first + node_availability_zone = node_config.get("azure_arm_parameters", {}).get( + "availability_zone" + ) + # Then check provider-level "availability_zone" + provider_availability_zone = self.provider_config.get("availability_zone") + + requested_zones = [] + zone_source = "default" + + # Precedence: node availability_zone > provider availability_zone + if node_availability_zone is not None: + requested_zones = self._parse_availability_zones(node_availability_zone) + zone_source = "node config availability_zone" + elif provider_availability_zone is not None: + requested_zones = self._parse_availability_zones(provider_availability_zone) + zone_source = "provider availability_zone" + + logger.info(f"Requested zones from {zone_source}: {requested_zones}") + + # Get actually available zones for this VM size + available_zones = self._validate_zones_for_node_pool( + requested_zones, location, vm_size + ) + + # Handle explicit zone disabling + zones_explicitly_disabled = available_zones is None + + if requested_zones and not zones_explicitly_disabled and not available_zones: + raise ValueError( + f"No available zones for VM size {vm_size} in {location}. " + f"Requested: {requested_zones}, but none are available for this VM size." + ) # load the template file current_path = Path(__file__).parent @@ -265,14 +393,19 @@ def _create_node(self, node_config, tags, count): config_tags.update(tags) config_tags[TAG_RAY_CLUSTER_NAME] = self.cluster_name - vm_name = "{node}-{unique_id}-{vm_id}".format( + deployment_name = "{node}-{unique_id}-{vm_id}".format( node=config_tags.get(TAG_RAY_NODE_NAME, "node"), unique_id=self.provider_config["unique_id"], vm_id=uuid4().hex[:UNIQUE_ID_LEN], )[:VM_NAME_MAX_LEN] template_params = node_config["azure_arm_parameters"].copy() - template_params["vmName"] = vm_name + # Remove availability_zone from template params since ARM template expects "zones" + template_params.pop("availability_zone", None) + # Use deployment_name for the vmName template parameter since + # the template will append copyIndex() for each VM that gets created + # to guarantee uniqueness. + template_params["vmName"] = deployment_name # Provision public IP if not using internal IPs or if this is the # head node and use_external_head_ip is True template_params["provisionPublicIp"] = not self.provider_config.get( @@ -287,6 +420,24 @@ def _create_node(self, node_config, tags, count): template_params["nsg"] = self.provider_config["nsg"] template_params["subnet"] = self.provider_config["subnet"] + # Add zone information based on availability and requested zones + if zones_explicitly_disabled: + # User explicitly disabled zones with ["None"] + template_params["zones"] = [] + logger.info( + f"Creating {count} VMs with zones explicitly disabled (no availability zone)" + ) + elif available_zones: + # Pass the list of available zones to the template + template_params["zones"] = available_zones + logger.info( + f"Creating {count} VMs, distributed across availability zones: {available_zones}" + ) + else: + # For non-zonal deployments (no zones available), use empty array + template_params["zones"] = [] + logger.info(f"Creating {count} VMs without specific availability zone") + parameters = { "properties": { "mode": DeploymentMode.incremental, @@ -299,11 +450,12 @@ def _create_node(self, node_config, tags, count): # TODO: we could get the private/public ips back directly create_or_update = get_azure_sdk_function( - client=self.resource_client.deployments, function_name="create_or_update" + client=self.resource_client.deployments, + function_name="create_or_update", ) create_or_update( resource_group_name=resource_group, - deployment_name=vm_name, + deployment_name=deployment_name, parameters=parameters, ).wait(timeout=AUTOSCALER_NODE_START_WAIT_S) diff --git a/python/ray/autoscaler/azure/defaults.yaml b/python/ray/autoscaler/azure/defaults.yaml index 1c0e32655a3a..ea7bc3e93df1 100644 --- a/python/ray/autoscaler/azure/defaults.yaml +++ b/python/ray/autoscaler/azure/defaults.yaml @@ -32,6 +32,12 @@ provider: # set unique id for resources in this cluster # if not set a default id will be generated based on the resource group and cluster name # unique_id: RAY1 + # Availability zones for VM placement (comma-separated). Examples: + # availability_zone: "1,2,3" # Use zones 1, 2, and 3 + # availability_zone: "1" # Use only zone 1 + # availability_zone: "none" # Explicitly disable zones + availability_zone: "auto" # Let Azure automatically pick zones + # How Ray will authenticate with newly launched nodes. auth: @@ -61,6 +67,8 @@ available_node_types: imageOffer: ubuntu-1804 imageSku: 1804-gen2 imageVersion: latest + # Head node: explicitly disable availability zones + availability_zone: "none" ray.worker.default: # The minimum number of nodes of this type to launch. @@ -82,6 +90,9 @@ available_node_types: # set a maximum price for spot instances if desired # billingProfile: # maxPrice: -1 + # Workers: inherit provider availability_zone setting + # Options: "1,2,3" for specific zones, "none" to disable zones, + # or "auto" to let Azure pick zones automatically # Specify the node type of the head node (as configured above). head_node_type: ray.head.default diff --git a/python/ray/autoscaler/azure/example-availability-zones.yaml b/python/ray/autoscaler/azure/example-availability-zones.yaml new file mode 100644 index 000000000000..34ada387674c --- /dev/null +++ b/python/ray/autoscaler/azure/example-availability-zones.yaml @@ -0,0 +1,76 @@ +# Unique identifier for the head node and workers of this cluster. +cluster_name: nightly-cpu-minimal-2 +max_workers: 6 +idle_timeout_minutes: 5 + +# Cloud-provider specific configuration. +provider: + type: azure + # https://azure.microsoft.com/en-us/global-infrastructure/locations + location: westus2 + resource_group: ray-zones + cache_stopped_nodes: False + # Provider-level availability zone configuration (comma-separated) + # This will be used as default for all node types unless overridden + availability_zone: "1,2,3" + +auth: + ssh_user: ubuntu + ssh_private_key: ~/.ssh/id_rsa + ssh_public_key: ~/.ssh/id_rsa.pub + +available_node_types: + ray.head.default: + resources: {"CPU": 2} + node_config: + azure_arm_parameters: + vmSize: Standard_D2s_v3 + imagePublisher: microsoft-dsvm + imageOffer: ubuntu-2004 + imageSku: 2004-gen2 + imageVersion: latest + # Head node: explicitly disable availability zones + availability_zone: "none" + ray.worker.default: + min_workers: 0 + max_workers: 2 + resources: {"CPU": 2} + node_config: + azure_arm_parameters: + vmSize: Standard_D2s_v3 + imagePublisher: microsoft-dsvm + imageOffer: ubuntu-2004 + imageSku: 2004-gen2 + imageVersion: latest + # Workers will use provider specified availability zones + ray.worker.specific_zone: + min_workers: 0 + max_workers: 2 + resources: {"CPU": 2} + node_config: + azure_arm_parameters: + vmSize: Standard_D2s_v3 + imagePublisher: microsoft-dsvm + imageOffer: ubuntu-2004 + imageSku: 2004-gen2 + imageVersion: latest + # Workers will use availability zone 2 only (overrides provider setting) + availability_zone: "2" + +# Note: The Ubuntu 20.04 dsvm image has a few venvs already configured but +# they all contain python modules that are not compatible with Ray at the moment. +setup_commands: + - (which conda && echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc) || true + - conda tos accept + - conda create -n ray-env python=3.10 -y + - conda activate ray-env && echo 'conda activate ray-env' >> ~/.bashrc + - which ray || pip install -U "ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-manylinux2014_x86_64.whl" + +file_mounts_sync_continuously: False + +file_mounts: { + "~/.ssh/id_rsa.pub": "~/.ssh/id_rsa.pub" +} + +head_setup_commands: +- pip install azure-core==1.35.0 azure-identity==1.23.1 azure-mgmt-compute==35.0.0 azure-mgmt-network==29.0.0 azure-mgmt-resource==24.0.0 azure-common==1.1.28 msrest==0.7.1 msrestazure==0.6.4.post1 diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 1472117bc054..cf0fb59e1d48 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -749,6 +749,7 @@ py_test_module_list( py_test_module_list( size = "small", files = [ + "test_autoscaler_azure.py", "test_autoscaler_gcp.py", "test_autoscaler_util.py", "test_azure_path_serialization.py", diff --git a/python/ray/tests/test_autoscaler_azure.py b/python/ray/tests/test_autoscaler_azure.py new file mode 100644 index 000000000000..56e46f8974e1 --- /dev/null +++ b/python/ray/tests/test_autoscaler_azure.py @@ -0,0 +1,400 @@ +"""Tests for Azure autoscaler availability zone functionality.""" +import copy +import unittest +from unittest.mock import Mock, patch + +from ray.autoscaler._private._azure.node_provider import AzureNodeProvider + + +class TestAzureAvailabilityZones(unittest.TestCase): + """Test cases for Azure autoscaler availability zone support.""" + + def setUp(self): + """Set up test fixtures.""" + self.provider_config = { + "resource_group": "test-rg", + "location": "westus2", + "subscription_id": "test-sub-id", + } + self.cluster_name = "test-cluster" + + # Create a mock provider that doesn't initialize Azure clients + with patch.object( + AzureNodeProvider, + "__init__", + lambda self, provider_config, cluster_name: None, + ): + self.provider = AzureNodeProvider(self.provider_config, self.cluster_name) + self.provider.provider_config = self.provider_config + self.provider.cluster_name = self.cluster_name + + def test_parse_availability_zones_none_input(self): + """Test _parse_availability_zones with None input returns empty list.""" + result = self.provider._parse_availability_zones(None) + self.assertEqual(result, []) + + def test_parse_availability_zones_empty_string(self): + """Test _parse_availability_zones with empty string returns empty list.""" + result = self.provider._parse_availability_zones("") + self.assertEqual(result, []) + + def test_parse_availability_zones_auto(self): + """Test _parse_availability_zones with 'auto' returns empty list.""" + result = self.provider._parse_availability_zones("auto") + self.assertEqual(result, []) + + def test_parse_availability_zones_whitespace_only(self): + """Test _parse_availability_zones with whitespace-only string returns empty list.""" + result = self.provider._parse_availability_zones(" ") + self.assertEqual(result, []) + + def test_parse_availability_zones_single_zone(self): + """Test _parse_availability_zones with single zone string.""" + result = self.provider._parse_availability_zones("1") + self.assertEqual(result, ["1"]) + + def test_parse_availability_zones_multiple_zones(self): + """Test _parse_availability_zones with comma-separated zones.""" + result = self.provider._parse_availability_zones("1,2,3") + self.assertEqual(result, ["1", "2", "3"]) + + def test_parse_availability_zones_zones_with_spaces(self): + """Test _parse_availability_zones with spaces around zones.""" + result = self.provider._parse_availability_zones("1, 2, 3") + self.assertEqual(result, ["1", "2", "3"]) + + def test_parse_availability_zones_zones_with_extra_spaces(self): + """Test _parse_availability_zones with extra spaces and tabs.""" + result = self.provider._parse_availability_zones(" 1 , 2 , 3 ") + self.assertEqual(result, ["1", "2", "3"]) + + def test_parse_availability_zones_none_disable_case_insensitive(self): + """Test _parse_availability_zones with 'none' variations disables zones.""" + test_cases = ["none", "None", "NONE"] + for case in test_cases: + with self.subTest(case=case): + result = self.provider._parse_availability_zones(case) + self.assertIsNone(result) + + def test_parse_availability_zones_null_disable_case_insensitive(self): + """Test _parse_availability_zones with 'null' variations disables zones.""" + test_cases = ["null", "Null", "NULL"] + for case in test_cases: + with self.subTest(case=case): + result = self.provider._parse_availability_zones(case) + self.assertIsNone(result) + + def test_parse_availability_zones_invalid_type(self): + """Test _parse_availability_zones with invalid input type raises ValueError.""" + with self.assertRaises(ValueError) as context: + self.provider._parse_availability_zones(123) + + self.assertIn("availability_zone must be a string", str(context.exception)) + self.assertIn("got int: 123", str(context.exception)) + + def test_parse_availability_zones_list_input_invalid(self): + """Test _parse_availability_zones with list input raises ValueError.""" + with self.assertRaises(ValueError) as context: + self.provider._parse_availability_zones(["1", "2", "3"]) + + self.assertIn("availability_zone must be a string", str(context.exception)) + + def test_parse_availability_zones_dict_input_invalid(self): + """Test _parse_availability_zones with dict input raises ValueError.""" + with self.assertRaises(ValueError) as context: + self.provider._parse_availability_zones({"zones": ["1", "2"]}) + + self.assertIn("availability_zone must be a string", str(context.exception)) + + def test_parse_availability_zones_numeric_zones(self): + """Test _parse_availability_zones with numeric zone strings.""" + result = self.provider._parse_availability_zones("1,2,3") + self.assertEqual(result, ["1", "2", "3"]) + + def test_parse_availability_zones_alpha_zones(self): + """Test _parse_availability_zones with alphabetic zone strings.""" + result = self.provider._parse_availability_zones("east,west,central") + self.assertEqual(result, ["east", "west", "central"]) + + def test_parse_availability_zones_mixed_zones(self): + """Test _parse_availability_zones with mixed numeric and alpha zones.""" + result = self.provider._parse_availability_zones("1,zone-b,3") + self.assertEqual(result, ["1", "zone-b", "3"]) + + +class TestAzureAvailabilityZonePrecedence(unittest.TestCase): + """Test cases for Azure availability zone precedence logic.""" + + def setUp(self): + """Set up test fixtures.""" + self.base_provider_config = { + "resource_group": "test-rg", + "location": "westus2", + "subscription_id": "test-sub-id", + } + self.cluster_name = "test-cluster" + + def _create_mock_provider(self, provider_config=None): + """Create a mock Azure provider for testing.""" + config = copy.deepcopy(self.base_provider_config) + if provider_config: + config.update(provider_config) + + with patch.object( + AzureNodeProvider, + "__init__", + lambda self, provider_config, cluster_name: None, + ): + provider = AzureNodeProvider(config, self.cluster_name) + provider.provider_config = config + provider.cluster_name = self.cluster_name + + # Mock the validation method to avoid Azure API calls + provider._validate_zones_for_node_pool = Mock( + side_effect=lambda zones, location, vm_size: zones + ) + + return provider + + def _extract_zone_logic(self, provider, node_config): + """Extract zone determination logic similar to _create_node method.""" + node_availability_zone = node_config.get("azure_arm_parameters", {}).get( + "availability_zone" + ) + provider_availability_zone = provider.provider_config.get("availability_zone") + + if node_availability_zone is not None: + return ( + provider._parse_availability_zones(node_availability_zone), + "node config availability_zone", + ) + elif provider_availability_zone is not None: + return ( + provider._parse_availability_zones(provider_availability_zone), + "provider availability_zone", + ) + else: + return ([], "default") + + def test_node_availability_zone_overrides_provider(self): + """Test that node-level availability_zone overrides provider-level.""" + provider = self._create_mock_provider({"availability_zone": "1,2"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "3", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, ["3"]) + self.assertEqual(source, "node config availability_zone") + + def test_provider_availability_zone_used_when_no_node_override(self): + """Test that provider-level availability_zone is used when no node override.""" + provider = self._create_mock_provider({"availability_zone": "1,2"}) + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, ["1", "2"]) + self.assertEqual(source, "provider availability_zone") + + def test_none_disables_zones_at_node_level(self): + """Test that 'none' at node level disables zones even with provider zones.""" + provider = self._create_mock_provider({"availability_zone": "1,2"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "none", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertIsNone(zones) + self.assertEqual(source, "node config availability_zone") + + def test_no_zones_when_neither_provider_nor_node_specify(self): + """Test default behavior when neither provider nor node specify zones.""" + provider = self._create_mock_provider() + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, []) + self.assertEqual(source, "default") + + def test_node_empty_string_overrides_provider_zones(self): + """Test that node empty string overrides provider zones (auto-selection).""" + provider = self._create_mock_provider({"availability_zone": "1,2"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, []) + self.assertEqual(source, "node config availability_zone") + + def test_node_auto_overrides_provider_zones(self): + """Test that node 'auto' overrides provider zones (auto-selection).""" + provider = self._create_mock_provider({"availability_zone": "1,2"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "auto", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, []) + self.assertEqual(source, "node config availability_zone") + + def test_provider_none_disables_zones(self): + """Test that provider-level 'none' disables zones.""" + provider = self._create_mock_provider({"availability_zone": "none"}) + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertIsNone(zones) + self.assertEqual(source, "provider availability_zone") + + def test_provider_empty_string_allows_auto_selection(self): + """Test that provider-level empty string allows auto-selection.""" + provider = self._create_mock_provider({"availability_zone": ""}) + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, []) + self.assertEqual(source, "provider availability_zone") + + def test_provider_auto_allows_auto_selection(self): + """Test that provider-level 'auto' allows auto-selection.""" + provider = self._create_mock_provider({"availability_zone": "auto"}) + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, []) + self.assertEqual(source, "provider availability_zone") + + def test_node_null_overrides_provider_zones(self): + """Test that node-level 'null' overrides provider zones.""" + provider = self._create_mock_provider({"availability_zone": "1,2,3"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "null", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertIsNone(zones) + self.assertEqual(source, "node config availability_zone") + + def test_provider_null_disables_zones(self): + """Test that provider-level 'null' disables zones.""" + provider = self._create_mock_provider({"availability_zone": "NULL"}) + node_config = {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}} + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertIsNone(zones) + self.assertEqual(source, "provider availability_zone") + + def test_complex_override_scenario(self): + """Test complex scenario with multiple node types and different overrides.""" + provider = self._create_mock_provider({"availability_zone": "1,2,3"}) + + # Test different node configurations + test_cases = [ + # Node with specific zone override + { + "config": { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "2", + } + }, + "expected_zones": ["2"], + "expected_source": "node config availability_zone", + }, + # Node with disabled zones + { + "config": { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "none", + } + }, + "expected_zones": None, + "expected_source": "node config availability_zone", + }, + # Node with auto-selection + { + "config": { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "", + } + }, + "expected_zones": [], + "expected_source": "node config availability_zone", + }, + # Node using provider default + { + "config": {"azure_arm_parameters": {"vmSize": "Standard_D2s_v3"}}, + "expected_zones": ["1", "2", "3"], + "expected_source": "provider availability_zone", + }, + ] + + for i, test_case in enumerate(test_cases): + with self.subTest(case=i): + zones, source = self._extract_zone_logic(provider, test_case["config"]) + self.assertEqual(zones, test_case["expected_zones"]) + self.assertEqual(source, test_case["expected_source"]) + + def test_mixed_case_precedence(self): + """Test precedence with mixed case 'none' values.""" + provider = self._create_mock_provider({"availability_zone": "None"}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": "NONE", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + # Both should be None (disabled), but node should take precedence + self.assertIsNone(zones) + self.assertEqual(source, "node config availability_zone") + + def test_whitespace_handling_in_precedence(self): + """Test that whitespace is properly handled in precedence logic.""" + provider = self._create_mock_provider({"availability_zone": " 1, 2, 3 "}) + node_config = { + "azure_arm_parameters": { + "vmSize": "Standard_D2s_v3", + "availability_zone": " 2 ", + } + } + + zones, source = self._extract_zone_logic(provider, node_config) + + self.assertEqual(zones, ["2"]) + self.assertEqual(source, "node config availability_zone") + + +if __name__ == "__main__": + unittest.main() From e8997225c2fc9db63361ba0c8bbd5e94aeca3e4d Mon Sep 17 00:00:00 2001 From: Stephanie Wang Date: Thu, 25 Sep 2025 13:11:01 -0700 Subject: [PATCH 1405/1566] [core][docs][RDT] Add docs for asyncio and object mutability (#56790) Examples for dealing with object mutability. --------- Signed-off-by: Stephanie wang Signed-off-by: Stephanie Wang Co-authored-by: Dhyey Shah Signed-off-by: Douglas Strodtman --- doc/source/ray-core/api/direct-transport.rst | 11 +- doc/source/ray-core/direct-transport.rst | 45 ++++++- .../doc_code/direct_transport_gloo.py | 126 ++++++++++++++++++ .../gpu_object_manager/gpu_object_manager.py | 28 ++-- 4 files changed, 196 insertions(+), 14 deletions(-) diff --git a/doc/source/ray-core/api/direct-transport.rst b/doc/source/ray-core/api/direct-transport.rst index 07815b1f9758..3e42e2a18db6 100644 --- a/doc/source/ray-core/api/direct-transport.rst +++ b/doc/source/ray-core/api/direct-transport.rst @@ -25,4 +25,13 @@ Collective tensor transports require a collective group to be created before RDT ray.experimental.collective.create_collective_group ray.experimental.collective.get_collective_groups - ray.experimental.collective.destroy_collective_group \ No newline at end of file + ray.experimental.collective.destroy_collective_group + +Advanced APIs +------------- + +.. autosummary:: + :nosignatures: + :toctree: doc/ + + ray.experimental.wait_tensor_freed \ No newline at end of file diff --git a/doc/source/ray-core/direct-transport.rst b/doc/source/ray-core/direct-transport.rst index f6d4cd70b642..c9d4838d7b44 100644 --- a/doc/source/ray-core/direct-transport.rst +++ b/doc/source/ray-core/direct-transport.rst @@ -1,7 +1,5 @@ .. _direct-transport: -.. TODO: asyncio not yet supported. -.. TODO: wait_tensor_freed ************************** Ray Direct Transport (RDT) @@ -149,6 +147,48 @@ Therefore, users need to specify the Ray object store as the tensor transport ex :start-after: __gloo_get_start__ :end-before: __gloo_get_end__ +Object mutability +^^^^^^^^^^^^^^^^^ + +Unlike objects in the Ray object store, RDT objects are *mutable*, meaning that Ray only holds a reference to the tensor and will not copy it until a transfer is requested. +This means that if the actor that returns a tensor also keeps a reference to the tensor, and the actor later modifies it in place while Ray is still storing the tensor reference, it's possible that some or all of the changes may be seen by receiving actors. + +Here is an example of what can go wrong: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_wait_tensor_freed_bad_start__ + :end-before: __gloo_wait_tensor_freed_bad_end__ + +In this example, the sender actor returns a tensor to Ray, but it also keeps a reference to the tensor in its local state. +Then, in `sender.increment_and_sum_stored_tensor`, the sender actor modifies the tensor in place while Ray is still holding the tensor reference. +Then, the `receiver.increment_and_sum` task receives the modified tensor instead of the original, so the assertion fails. + +To fix this kind of error, use the :func:`ray.experimental.wait_tensor_freed ` function to wait for Ray to release all references to the tensor, so that the actor can safely write to the tensor again. +:func:`wait_tensor_freed ` will unblock once all tasks that depend on the tensor have finished executing and all corresponding `ObjectRefs` have gone out of scope. +Ray tracks tasks that depend on the tensor by keeping track of which tasks take the `ObjectRef` corresponding to the tensor as an argument. + +Here's a fixed version of the earlier example. + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_wait_tensor_freed_start__ + :end-before: __gloo_wait_tensor_freed_end__ + +The main changes are: +1. `sender` calls :func:`wait_tensor_freed ` before modifying the tensor in place. +2. The driver skips :func:`ray.get ` because :func:`wait_tensor_freed ` blocks until all `ObjectRefs` pointing to the tensor are freed, so calling :func:`ray.get ` here would cause a deadlock. +3. The driver calls `del tensor` to release its reference to the tensor. Again, this is necessary because :func:`wait_tensor_freed ` blocks until all `ObjectRefs` pointing to the tensor are freed. + +When an RDT `ObjectRef` is passed back to the same actor that produced it, Ray passes back a *reference* to the tensor instead of a copy. Therefore, the same kind of bug can occur. +To help catch such cases, Ray will print a warning if an RDT object is passed to the actor that produced it and a different actor, like so: + +.. literalinclude:: doc_code/direct_transport_gloo.py + :language: python + :start-after: __gloo_object_mutability_warning_start__ + :end-before: __gloo_object_mutability_warning_end__ + + Usage with NCCL (NVIDIA GPUs only) ---------------------------------- @@ -239,6 +279,7 @@ RDT is currently in alpha and currently has the following limitations, which may * Support for ``torch.Tensor`` objects only. * Support for Ray actors only, not Ray tasks. +* Not yet compatible with `asyncio `__. Follow the `tracking issue `__ for updates. * Support for the following transports: Gloo, NCCL, and NIXL. * Support for CPUs and NVIDIA GPUs only. * RDT objects are *mutable*. This means that Ray only holds a reference to the tensor, and will not copy it until a transfer is requested. Thus, if the application code also keeps a reference to a tensor before returning it, and modifies the tensor in place, then some or all of the changes may be seen by the receiving actor. diff --git a/doc/source/ray-core/doc_code/direct_transport_gloo.py b/doc/source/ray-core/doc_code/direct_transport_gloo.py index 517854807953..866b827db960 100644 --- a/doc/source/ray-core/doc_code/direct_transport_gloo.py +++ b/doc/source/ray-core/doc_code/direct_transport_gloo.py @@ -148,3 +148,129 @@ def sum(self, tensor: torch.Tensor): print(ray.get(tensor, _tensor_transport="object_store")) # torch.Tensor(...) # __gloo_get_end__ + + +# __gloo_object_mutability_warning_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + return torch.randn(1000, 1000) + + def increment_and_sum(self, tensor: torch.Tensor): + # In-place update. + tensor += 1 + return torch.sum(tensor) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +tensor = sender.random_tensor.remote() +tensor1 = sender.increment_and_sum.remote(tensor) +tensor2 = receiver.increment_and_sum.remote(tensor) +# A warning will be printed: +# UserWarning: GPU ObjectRef(...) is being passed back to the actor that created it Actor(MyActor, ...). Note that GPU objects are mutable. If the tensor is modified, Ray's internal copy will also be updated, and subsequent passes to other actors will receive the updated version instead of the original. + +try: + # This assertion may fail because the tensor returned by sender.random_tensor + # is modified in-place by sender.increment_and_sum while being sent to + # receiver.increment_and_sum. + assert torch.allclose(ray.get(tensor1), ray.get(tensor2)) +except AssertionError: + print("AssertionError: sender and receiver returned different sums.") + +# __gloo_object_mutability_warning_end__ + +# __gloo_wait_tensor_freed_bad_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + self.tensor = torch.randn(1000, 1000) + # After this function returns, Ray and this actor will both hold a + # reference to the same tensor. + return self.tensor + + def increment_and_sum_stored_tensor(self): + # NOTE: In-place update, while Ray still holds a reference to the same tensor. + self.tensor += 1 + return torch.sum(self.tensor) + + def increment_and_sum(self, tensor: torch.Tensor): + return torch.sum(tensor + 1) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +tensor = sender.random_tensor.remote() +tensor1 = sender.increment_and_sum_stored_tensor.remote() +# Wait for sender.increment_and_sum_stored_tensor task to finish. +tensor1 = ray.get(tensor1) +# Receiver will now receive the updated value instead of the original. +tensor2 = receiver.increment_and_sum.remote(tensor) + +try: + # This assertion will fail because sender.increment_and_sum_stored_tensor + # modified the tensor in place before sending it to + # receiver.increment_and_sum. + assert torch.allclose(tensor1, ray.get(tensor2)) +except AssertionError: + print("AssertionError: sender and receiver returned different sums.") +# __gloo_wait_tensor_freed_bad_end__ + +# __gloo_wait_tensor_freed_start__ +import torch +import ray +from ray.experimental.collective import create_collective_group + + +@ray.remote +class MyActor: + @ray.method(tensor_transport="gloo") + def random_tensor(self): + self.tensor = torch.randn(1000, 1000) + return self.tensor + + def increment_and_sum_stored_tensor(self): + # 1. Sender actor waits for Ray to release all references to the tensor + # before modifying the tensor in place. + ray.experimental.wait_tensor_freed(self.tensor) + # NOTE: In-place update, but Ray guarantees that it has already released + # its references to this tensor. + self.tensor += 1 + return torch.sum(self.tensor) + + def increment_and_sum(self, tensor: torch.Tensor): + # Receiver task remains the same. + return torch.sum(tensor + 1) + + +sender, receiver = MyActor.remote(), MyActor.remote() +group = create_collective_group([sender, receiver], backend="torch_gloo") + +tensor = sender.random_tensor.remote() +tensor1 = sender.increment_and_sum_stored_tensor.remote() +# 2. Skip `ray.get`` because `wait_tensor_freed`` will block until all +# references to `tensor` are freed, so calling `ray.get` here would cause a +# deadlock. +# tensor1 = ray.get(tensor1) +tensor2 = receiver.increment_and_sum.remote(tensor) + +# 3. Delete all references to `tensor`, to unblock wait_tensor_freed. +del tensor + +# This assertion will now pass. +assert torch.allclose(ray.get(tensor1), ray.get(tensor2)) +# __gloo_wait_tensor_freed_end__ diff --git a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py index e1750242857d..db3b752b8c6d 100644 --- a/python/ray/experimental/gpu_object_manager/gpu_object_manager.py +++ b/python/ray/experimental/gpu_object_manager/gpu_object_manager.py @@ -54,22 +54,28 @@ class TransferMetadata(NamedTuple): # @PublicAPI(stability="alpha") def wait_tensor_freed(tensor: "torch.Tensor", timeout: Optional[float] = None): """ - Wait for the tensor to be freed from this actor's GPU object store. + Wait for the tensor to be freed. This function is useful for cases where an actor keeps a reference to a tensor after returning the tensor from a task annotated with - `@ray.method(tensor_transport=...)`. Tensors that are returned by these - tasks may be sent to other actors while the corresponding `ray.ObjectRef` is - still in scope. If the actor modifies the tensor while it is still in the - actor's GPU object store, then Ray may end up sending invalid data to other - tasks. Call this function to ensure that the `ray.ObjectRef` has gone out of - scope and therefore the tensor is safe to write to again. + `@ray.method(tensor_transport=...)`. In this case, Ray will store a + *reference* to the tensor, so any in-place modifications made by the actor + that returned the tensor could be seen by other actors. See + :ref:`Ray Direct Transport (RDT) ` for more details. + + Call this function for RDT objects to ensure that all corresponding + `ray.ObjectRefs` have gone out of scope and therefore the tensor is safe to + write to again. Args: - tensor: The tensor to wait to be freed. - timeout: The timeout in seconds. Set to None to wait indefinitely. Note - that this function could then hang if the `ray.ObjectRef` that - refers to this tensor never goes out of scope. + tensor: The tensor to wait to be freed. This should be a tensor that was + previously returned by a task annotated with + `@ray.method(tensor_transport=...)` or stored via + `ray.put(_tensor_transport="...")`. + timeout: The timeout in seconds to wait for all references to the tensor + to go out of scope. Set to None to wait indefinitely. Note that if + None is used, this function could hang if the `ray.ObjectRefs` that + refer to this tensor never go out of scope. """ gpu_object_manager = ray.worker.global_worker.gpu_object_manager gpu_object_manager.gpu_object_store.wait_tensor_freed(tensor, timeout) From 3918fd86611664ead3aae3c84150b62e257800e6 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Thu, 25 Sep 2025 13:35:22 -0700 Subject: [PATCH 1406/1566] [core] Clean up / improve GCS EventRecorder + GCS TaskManager (#56912) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_ray_event_converter.cc | 239 ++++++++++-------- src/ray/gcs/gcs_ray_event_converter.h | 87 +------ src/ray/gcs/gcs_task_manager.cc | 12 +- src/ray/gcs/gcs_task_manager.h | 10 +- .../gcs/tests/gcs_ray_event_converter_test.cc | 72 +++--- 5 files changed, 177 insertions(+), 243 deletions(-) diff --git a/src/ray/gcs/gcs_ray_event_converter.cc b/src/ray/gcs/gcs_ray_event_converter.cc index 96b1ddc1d8a3..96f0235f4e55 100644 --- a/src/ray/gcs/gcs_ray_event_converter.cc +++ b/src/ray/gcs/gcs_ray_event_converter.cc @@ -19,80 +19,18 @@ #include "absl/container/flat_hash_map.h" #include "ray/common/grpc_util.h" #include "ray/common/id.h" -#include "ray/util/logging.h" namespace ray { namespace gcs { -std::vector -GcsRayEventConverter::ConvertToTaskEventDataRequests( - rpc::events::AddEventsRequest &&request) { - std::vector requests_per_job_id; - absl::flat_hash_map job_id_to_index; - // convert RayEvents to TaskEvents and group by job id. - for (auto &event : *request.mutable_events_data()->mutable_events()) { - std::optional task_event = std::nullopt; - switch (event.event_type()) { - case rpc::events::RayEvent::TASK_DEFINITION_EVENT: { - task_event = ConvertToTaskEvents(std::move(*event.mutable_task_definition_event())); - break; - } - case rpc::events::RayEvent::TASK_EXECUTION_EVENT: { - task_event = ConvertToTaskEvents(std::move(*event.mutable_task_execution_event())); - break; - } - case rpc::events::RayEvent::TASK_PROFILE_EVENT: { - task_event = ConvertToTaskEvents(std::move(*event.mutable_task_profile_events())); - break; - } - case rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT: { - task_event = - ConvertToTaskEvents(std::move(*event.mutable_actor_task_definition_event())); - break; - } - default: - // TODO(can-anyscale): Handle other event types - break; - } +namespace { - // Groups all taskEvents belonging to same jobId into one AddTaskEventDataRequest - if (task_event) { - AddTaskEventToRequest(std::move(*task_event), requests_per_job_id, job_id_to_index); - } - } - - // Groups all taskEventMetadata belonging to same jobId into one - // AddTaskEventDataRequest - auto *metadata = request.mutable_events_data()->mutable_task_events_metadata(); - if (metadata->dropped_task_attempts_size() > 0) { - AddDroppedTaskAttemptsToRequest( - std::move(*metadata), requests_per_job_id, job_id_to_index); - } - return requests_per_job_id; -} - -void GcsRayEventConverter::AddTaskEventToRequest( - rpc::TaskEvents &&task_event, - std::vector &requests_per_job_id, - absl::flat_hash_map &job_id_to_index) { - const std::string job_id_key = task_event.job_id(); - auto it = job_id_to_index.find(job_id_key); - if (it == job_id_to_index.end()) { - // Create new AddTaskEventDataRequest entry and add index to map - size_t idx = requests_per_job_id.size(); - requests_per_job_id.emplace_back(); - auto *data = requests_per_job_id.back().mutable_data(); - data->set_job_id(job_id_key); - *data->add_events_by_task() = std::move(task_event); - job_id_to_index.emplace(job_id_key, idx); - } else { - // add taskEvent to existing AddTaskEventDataRequest with same job id - auto *data = requests_per_job_id[it->second].mutable_data(); - *data->add_events_by_task() = std::move(task_event); - } -} - -void GcsRayEventConverter::AddDroppedTaskAttemptsToRequest( +/// Add dropped task attempts to the appropriate job-grouped request. +/// +/// \param metadata The task events metadata containing dropped task attempts. +/// \param requests_per_job_id The list of requests grouped by job id. +/// \param job_id_to_index The map from job id to index in requests_per_job_id. +void AddDroppedTaskAttemptsToRequest( rpc::events::TaskEventsMetadata &&metadata, std::vector &requests_per_job_id, absl::flat_hash_map &job_id_to_index) { @@ -118,8 +56,57 @@ void GcsRayEventConverter::AddDroppedTaskAttemptsToRequest( } } -rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( - rpc::events::TaskDefinitionEvent &&event) { +/// Populate the TaskInfoEntry with the given runtime env info, function descriptor, +/// and required resources. This function is commonly used to convert the task +/// and actor task definition events to TaskEvents. +/// +/// \param serialized_runtime_env The serialized runtime environment string. +/// \param function_descriptor The function descriptor. +/// \param required_resources The required resources. +/// \param language The language of the task. +/// \param task_info The output TaskInfoEntry to populate. +void PopulateTaskRuntimeAndFunctionInfo( + std::string &&serialized_runtime_env, + rpc::FunctionDescriptor &&function_descriptor, + ::google::protobuf::Map &&required_resources, + rpc::Language language, + rpc::TaskInfoEntry *task_info) { + task_info->set_language(language); + task_info->mutable_runtime_env_info()->set_serialized_runtime_env( + std::move(serialized_runtime_env)); + switch (language) { + case rpc::Language::CPP: + if (function_descriptor.has_cpp_function_descriptor()) { + task_info->set_func_or_class_name( + std::move(*function_descriptor.mutable_cpp_function_descriptor() + ->mutable_function_name())); + } + break; + case rpc::Language::PYTHON: + if (function_descriptor.has_python_function_descriptor()) { + task_info->set_func_or_class_name( + std::move(*function_descriptor.mutable_python_function_descriptor() + ->mutable_function_name())); + } + break; + case rpc::Language::JAVA: + if (function_descriptor.has_java_function_descriptor()) { + task_info->set_func_or_class_name( + std::move(*function_descriptor.mutable_java_function_descriptor() + ->mutable_function_name())); + } + break; + default: + RAY_CHECK(false) << "Unsupported language: " << language; + } + task_info->mutable_required_resources()->swap(required_resources); +} + +/// Convert a TaskDefinitionEvent to a TaskEvents. +/// +/// \param event The TaskDefinitionEvent to convert. +/// \return The output TaskEvents to populate. +rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskDefinitionEvent &&event) { rpc::TaskEvents task_event; task_event.set_task_id(event.task_id()); task_event.set_attempt_number(event.task_attempt()); @@ -143,8 +130,11 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( return task_event; } -rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( - rpc::events::TaskExecutionEvent &&event) { +/// Convert a TaskExecutionEvent to a TaskEvents. +/// +/// \param event The TaskExecutionEvent to convert. +/// \return The output TaskEvents to populate. +rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskExecutionEvent &&event) { rpc::TaskEvents task_event; task_event.set_task_id(event.task_id()); task_event.set_attempt_number(event.task_attempt()); @@ -154,7 +144,7 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( task_state_update->set_node_id(event.node_id()); task_state_update->set_worker_id(event.worker_id()); task_state_update->set_worker_pid(event.worker_pid()); - task_state_update->mutable_error_info()->Swap(event.mutable_ray_error_info()); + *task_state_update->mutable_error_info() = std::move(*event.mutable_ray_error_info()); for (const auto &[state, timestamp] : event.task_state()) { int64_t ns = ProtoTimestampToAbslTimeNanos(timestamp); @@ -163,8 +153,11 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( return task_event; } -rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( - rpc::events::ActorTaskDefinitionEvent &&event) { +/// Convert an ActorTaskDefinitionEvent to a TaskEvents. +/// +/// \param event The ActorTaskDefinitionEvent to convert. +/// \return The output TaskEvents to populate. +rpc::TaskEvents ConvertToTaskEvents(rpc::events::ActorTaskDefinitionEvent &&event) { rpc::TaskEvents task_event; task_event.set_task_id(event.task_id()); task_event.set_attempt_number(event.task_attempt()); @@ -190,50 +183,80 @@ rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( return task_event; } -rpc::TaskEvents GcsRayEventConverter::ConvertToTaskEvents( - rpc::events::TaskProfileEvents &&event) { +/// Convert ProfileEvents to a TaskEvents. +/// +/// \param event TaskProfileEvents object to convert. +/// \return The output TaskEvents to populate. +rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskProfileEvents &&event) { rpc::TaskEvents task_event; task_event.set_task_id(event.task_id()); task_event.set_attempt_number(event.attempt_number()); task_event.set_job_id(event.job_id()); - task_event.mutable_profile_events()->Swap(event.mutable_profile_events()); + *task_event.mutable_profile_events() = std::move(*event.mutable_profile_events()); return task_event; } -void GcsRayEventConverter::PopulateTaskRuntimeAndFunctionInfo( - std::string &&serialized_runtime_env, - rpc::FunctionDescriptor &&function_descriptor, - ::google::protobuf::Map &&required_resources, - rpc::Language language, - rpc::TaskInfoEntry *task_info) { - task_info->set_language(language); - task_info->mutable_runtime_env_info()->set_serialized_runtime_env( - std::move(serialized_runtime_env)); - switch (language) { - case rpc::Language::CPP: - if (function_descriptor.has_cpp_function_descriptor()) { - task_info->set_func_or_class_name( - function_descriptor.cpp_function_descriptor().function_name()); +} // namespace + +std::vector ConvertToTaskEventDataRequests( + rpc::events::AddEventsRequest &&request) { + std::vector requests_per_job_id; + absl::flat_hash_map job_id_to_index; + // convert RayEvents to TaskEvents and group by job id. + for (auto &event : *request.mutable_events_data()->mutable_events()) { + std::optional task_event = std::nullopt; + + switch (event.event_type()) { + case rpc::events::RayEvent::TASK_DEFINITION_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_definition_event())); + break; } - break; - case rpc::Language::PYTHON: - if (function_descriptor.has_python_function_descriptor()) { - task_info->set_func_or_class_name( - function_descriptor.python_function_descriptor().function_name()); + case rpc::events::RayEvent::TASK_EXECUTION_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_execution_event())); + break; } - break; - case rpc::Language::JAVA: - if (function_descriptor.has_java_function_descriptor()) { - task_info->set_func_or_class_name( - function_descriptor.java_function_descriptor().function_name()); + case rpc::events::RayEvent::TASK_PROFILE_EVENT: { + task_event = ConvertToTaskEvents(std::move(*event.mutable_task_profile_events())); + break; + } + case rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT: { + task_event = + ConvertToTaskEvents(std::move(*event.mutable_actor_task_definition_event())); + break; + } + default: + RAY_CHECK(false) << "Unsupported event type: " << event.event_type(); + } + + // Groups all taskEvents belonging to same jobId into one AddTaskEventDataRequest + if (task_event) { + const std::string job_id_key = task_event->job_id(); + auto it = job_id_to_index.find(job_id_key); + if (it == job_id_to_index.end()) { + // Create new AddTaskEventDataRequest entry and add index to map + size_t idx = requests_per_job_id.size(); + requests_per_job_id.emplace_back(); + auto *data = requests_per_job_id.back().mutable_data(); + data->set_job_id(job_id_key); + *data->add_events_by_task() = std::move(*task_event); + job_id_to_index.emplace(job_id_key, idx); + } else { + // add taskEvent to existing AddTaskEventDataRequest with same job id + auto *data = requests_per_job_id[it->second].mutable_data(); + *data->add_events_by_task() = std::move(*task_event); + } } - break; - default: - // Other languages are not handled. - break; } - task_info->mutable_required_resources()->swap(required_resources); + + // Groups all taskEventMetadata belonging to same jobId into one + // AddTaskEventDataRequest + auto *metadata = request.mutable_events_data()->mutable_task_events_metadata(); + if (metadata->dropped_task_attempts_size() > 0) { + AddDroppedTaskAttemptsToRequest( + std::move(*metadata), requests_per_job_id, job_id_to_index); + } + return requests_per_job_id; } } // namespace gcs diff --git a/src/ray/gcs/gcs_ray_event_converter.h b/src/ray/gcs/gcs_ray_event_converter.h index 614d3ae733a6..d7b91e5a16fb 100644 --- a/src/ray/gcs/gcs_ray_event_converter.h +++ b/src/ray/gcs/gcs_ray_event_converter.h @@ -16,92 +16,19 @@ #include -#include "absl/container/flat_hash_map.h" -#include "gtest/gtest_prod.h" #include "src/ray/protobuf/events_event_aggregator_service.pb.h" #include "src/ray/protobuf/gcs_service.pb.h" namespace ray { namespace gcs { -/// GcsRayEventConverter converts RayEvents to TaskEvents. -class GcsRayEventConverter { - public: - GcsRayEventConverter() = default; - ~GcsRayEventConverter() = default; - - /// Convert an AddEventsRequest to a list of AddTaskEventDataRequest objects, - /// grouping entries by job id. - /// - /// \param request The AddEventsRequest to convert. - /// \return A list of AddTaskEventDataRequest grouped by job id. - std::vector ConvertToTaskEventDataRequests( - rpc::events::AddEventsRequest &&request); - - private: - /// Convert a TaskDefinitionEvent to a TaskEvents. - /// - /// \param event The TaskDefinitionEvent to convert. - /// \return The output TaskEvents to populate. - rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskDefinitionEvent &&event); - - /// Convert ProfileEvents to a TaskEvents. - /// - /// \param event TaskProfileEvents object to convert. - /// \return The output TaskEvents to populate. - rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskProfileEvents &&event); - - /// Convert a TaskExecutionEvent to a TaskEvents. - /// - /// \param event The TaskExecutionEvent to convert. - /// \return The output TaskEvents to populate. - rpc::TaskEvents ConvertToTaskEvents(rpc::events::TaskExecutionEvent &&event); - - /// Convert an ActorTaskDefinitionEvent to a TaskEvents. - /// - /// \param event The ActorTaskDefinitionEvent to convert. - /// \return The output TaskEvents to populate. - rpc::TaskEvents ConvertToTaskEvents(rpc::events::ActorTaskDefinitionEvent &&event); - - /// Populate the TaskInfoEntry with the given runtime env info, function descriptor, - /// and required resources. This function is commonly used to convert the task - /// and actor task definition events to TaskEvents. - /// - /// \param serialized_runtime_env The serialized runtime environment string. - /// \param function_descriptor The function descriptor. - /// \param required_resources The required resources. - /// \param language The language of the task. - /// \param task_info The output TaskInfoEntry to populate. - void PopulateTaskRuntimeAndFunctionInfo( - std::string &&serialized_runtime_env, - rpc::FunctionDescriptor &&function_descriptor, - ::google::protobuf::Map &&required_resources, - rpc::Language language, - rpc::TaskInfoEntry *task_info); - - /// Add a task event to the appropriate job-grouped request. - /// - /// \param task_event The TaskEvents to add. - /// \param requests_per_job_id The list of requests grouped by job id. - /// \param job_id_to_index The map from job id to index in requests_per_job_id. - void AddTaskEventToRequest( - rpc::TaskEvents &&task_event, - std::vector &requests_per_job_id, - absl::flat_hash_map &job_id_to_index); - - /// Add dropped task attempts to the appropriate job-grouped request. - /// - /// \param metadata The task events metadata containing dropped task attempts. - /// \param requests_per_job_id The list of requests grouped by job id. - /// \param job_id_to_index The map from job id to index in requests_per_job_id. - void AddDroppedTaskAttemptsToRequest( - rpc::events::TaskEventsMetadata &&metadata, - std::vector &requests_per_job_id, - absl::flat_hash_map &job_id_to_index); - - FRIEND_TEST(GcsRayEventConverterTest, TestConvertTaskExecutionEvent); - FRIEND_TEST(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent); -}; +/// Convert an AddEventsRequest to a list of AddTaskEventDataRequest objects, +/// grouping entries by job id. +/// +/// \param request The AddEventsRequest to convert. +/// \return A list of AddTaskEventDataRequest grouped by job id. +std::vector ConvertToTaskEventDataRequests( + rpc::events::AddEventsRequest &&request); } // namespace gcs } // namespace ray diff --git a/src/ray/gcs/gcs_task_manager.cc b/src/ray/gcs/gcs_task_manager.cc index be7908223c60..4d7402890f13 100644 --- a/src/ray/gcs/gcs_task_manager.cc +++ b/src/ray/gcs/gcs_task_manager.cc @@ -28,6 +28,8 @@ #include "ray/common/id.h" #include "ray/common/ray_config.h" #include "ray/common/status.h" +#include "ray/gcs/gcs_ray_event_converter.h" +#include "ray/stats/metric_defs.h" namespace ray { namespace gcs { @@ -38,7 +40,6 @@ GcsTaskManager::GcsTaskManager(instrumented_io_context &io_service) RayConfig::instance().task_events_max_num_task_in_gcs(), stats_counter_, std::make_unique())), - ray_event_converter_(std::make_unique()), periodical_runner_(PeriodicalRunner::Create(io_service_)) { periodical_runner_->RunFnPeriodically([this] { task_event_storage_->GcJobSummary(); }, 5 * 1000, @@ -62,7 +63,7 @@ std::vector GcsTaskManager::GcsTaskManagerStorage::GetTaskEvent } std::vector GcsTaskManager::GcsTaskManagerStorage::GetTaskEvents( - JobID job_id) const { + const JobID &job_id) const { auto task_locators_itr = job_index_.find(job_id); if (task_locators_itr == job_index_.end()) { // Not found any tasks related to this job. @@ -447,7 +448,7 @@ void GcsTaskManager::HandleGetTaskEvents(rpc::GetTaskEventsRequest request, } if (job_ids.size() == 1) { - JobID job_id = *job_ids.begin(); + const JobID &job_id = *job_ids.begin(); task_events = task_event_storage_->GetTaskEvents(job_id); // Populate per-job data loss. @@ -643,7 +644,7 @@ void GcsTaskManager::RecordTaskEventData(rpc::AddTaskEventDataRequest &request) auto data = std::move(*request.mutable_data()); task_event_storage_->RecordDataLossFromWorker(data); - for (auto events_by_task : *data.mutable_events_by_task()) { + for (auto &events_by_task : *data.mutable_events_by_task()) { stats_counter_.Increment(kTotalNumTaskEventsReported); task_event_storage_->AddOrReplaceTaskEvent(std::move(events_by_task)); } @@ -661,8 +662,7 @@ void GcsTaskManager::HandleAddTaskEventData(rpc::AddTaskEventDataRequest request void GcsTaskManager::HandleAddEvents(rpc::events::AddEventsRequest request, rpc::events::AddEventsReply *reply, rpc::SendReplyCallback send_reply_callback) { - auto task_event_data_requests = - ray_event_converter_->ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); for (auto &task_event_data : task_event_data_requests) { RecordTaskEventData(task_event_data); diff --git a/src/ray/gcs/gcs_task_manager.h b/src/ray/gcs/gcs_task_manager.h index ee0ebe3110f3..8b73e729ba50 100644 --- a/src/ray/gcs/gcs_task_manager.h +++ b/src/ray/gcs/gcs_task_manager.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include #include @@ -25,10 +26,8 @@ #include "absl/container/flat_hash_set.h" #include "absl/synchronization/mutex.h" #include "ray/common/protobuf_utils.h" -#include "ray/gcs/gcs_ray_event_converter.h" #include "ray/gcs/grpc_service_interfaces.h" #include "ray/gcs/usage_stats_client.h" -#include "ray/stats/metric_defs.h" #include "ray/util/counter_map.h" #include "src/ray/protobuf/gcs.pb.h" @@ -39,7 +38,7 @@ class PeriodicalRunner; namespace gcs { -enum GcsTaskManagerCounter { +enum GcsTaskManagerCounter : std::uint8_t { kTotalNumTaskEventsReported, kTotalNumTaskAttemptsDropped, kTotalNumProfileTaskEventsDropped, @@ -199,7 +198,7 @@ class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, /// /// \param job_id Job ID to filter task events. /// \return task events of `job_id`. - std::vector GetTaskEvents(JobID job_id) const; + std::vector GetTaskEvents(const JobID &job_id) const; /// Get all task events. /// @@ -526,9 +525,6 @@ class GcsTaskManager : public rpc::TaskInfoGcsServiceHandler, // the io_service_thread_. Access to it is *not* thread safe. std::unique_ptr task_event_storage_; - // Converter for converting RayEvents to TaskEvents. - std::unique_ptr ray_event_converter_; - /// The runner to run function periodically. std::shared_ptr periodical_runner_; diff --git a/src/ray/gcs/tests/gcs_ray_event_converter_test.cc b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc index 4b83d8157ad8..f0bbf7cb18e6 100644 --- a/src/ray/gcs/tests/gcs_ray_event_converter_test.cc +++ b/src/ray/gcs/tests/gcs_ray_event_converter_test.cc @@ -14,8 +14,6 @@ #include "ray/gcs/gcs_ray_event_converter.h" -#include - #include "gtest/gtest.h" #include "ray/common/id.h" #include "src/ray/protobuf/common.pb.h" @@ -26,26 +24,18 @@ namespace ray { namespace gcs { -class GcsRayEventConverterTest : public ::testing::Test { - public: - GcsRayEventConverterTest() = default; -}; - -TEST_F(GcsRayEventConverterTest, TestConvertToTaskEventData) { +TEST(GcsRayEventConverterTest, TestConvertToTaskEventData) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Convert empty request - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Test empty request EXPECT_EQ(task_event_data_requests.size(), 0); } -TEST_F(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { +TEST(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Create a task definition event auto *event = request.mutable_events_data()->add_events(); @@ -78,8 +68,7 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { task_def_event->set_serialized_runtime_env("test_env"); // Convert - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Verify conversion ASSERT_EQ(task_event_data_requests.size(), 1); @@ -107,9 +96,8 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskDefinitionEvent) { EXPECT_EQ(task_info.required_resources().at("memory"), 1024.0); } -TEST_F(GcsRayEventConverterTest, TestConvertWithDroppedTaskAttempts) { +TEST(GcsRayEventConverterTest, TestConvertWithDroppedTaskAttempts) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Create a proper TaskID for testing const auto job_id = JobID::FromInt(100); @@ -125,8 +113,7 @@ TEST_F(GcsRayEventConverterTest, TestConvertWithDroppedTaskAttempts) { dropped_attempt->set_attempt_number(2); // Convert - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Verify dropped task attempts are copied ASSERT_FALSE(task_event_data_requests.empty()); @@ -137,9 +124,8 @@ TEST_F(GcsRayEventConverterTest, TestConvertWithDroppedTaskAttempts) { EXPECT_EQ(converted_dropped.attempt_number(), 2); } -TEST_F(GcsRayEventConverterTest, TestMultipleJobIds) { +TEST(GcsRayEventConverterTest, TestMultipleJobIds) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Create events with different job IDs const auto job_id_1 = JobID::FromInt(100); @@ -189,8 +175,7 @@ TEST_F(GcsRayEventConverterTest, TestMultipleJobIds) { dropped_attempt_2->set_attempt_number(4); // Convert - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Verify that we get two separate requests (one for each job ID) ASSERT_EQ(task_event_data_requests.size(), 2); @@ -224,9 +209,8 @@ TEST_F(GcsRayEventConverterTest, TestMultipleJobIds) { EXPECT_TRUE(found_job_2); } -TEST_F(GcsRayEventConverterTest, TestSameJobIdGrouping) { +TEST(GcsRayEventConverterTest, TestSameJobIdGrouping) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Create multiple events with the same job ID const auto job_id = JobID::FromInt(100); @@ -254,8 +238,7 @@ TEST_F(GcsRayEventConverterTest, TestSameJobIdGrouping) { task_def_event2->set_task_name("task_2_name"); // Convert - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Verify that we get one request with both events grouped together ASSERT_EQ(task_event_data_requests.size(), 1); @@ -268,9 +251,8 @@ TEST_F(GcsRayEventConverterTest, TestSameJobIdGrouping) { EXPECT_EQ(events[1].job_id(), job_id.Binary()); } -TEST_F(GcsRayEventConverterTest, TestConvertTaskProfileEvents) { +TEST(GcsRayEventConverterTest, TestConvertTaskProfileEvents) { rpc::events::AddEventsRequest request; - GcsRayEventConverter converter; // Create a task profile event auto *event = request.mutable_events_data()->add_events(); @@ -295,16 +277,15 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskProfileEvents) { auto *ProfileEventEntry = profile_events->add_events(); ProfileEventEntry->set_start_time(123456789); ProfileEventEntry->set_end_time(123456799); - ProfileEventEntry->set_extra_data("{\"foo\": \"bar\"}"); + ProfileEventEntry->set_extra_data(R"({"foo": "bar"})"); ProfileEventEntry->set_event_name("test_event"); // Convert - auto task_event_data_requests = - converter.ConvertToTaskEventDataRequests(std::move(request)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); // Verify conversion EXPECT_EQ(task_event_data_requests.size(), 1); - auto task_event_data = task_event_data_requests[0]; + auto &task_event_data = task_event_data_requests[0]; EXPECT_EQ(task_event_data.data().events_by_task_size(), 1); const auto &converted_task = task_event_data.data().events_by_task(0); @@ -326,13 +307,15 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskProfileEvents) { const auto &entry = profile_event.events(0); EXPECT_EQ(entry.start_time(), 123456789); EXPECT_EQ(entry.end_time(), 123456799); - EXPECT_EQ(entry.extra_data(), "{\"foo\": \"bar\"}"); + EXPECT_EQ(entry.extra_data(), R"({"foo": "bar"})"); EXPECT_EQ(entry.event_name(), "test_event"); } -TEST_F(GcsRayEventConverterTest, TestConvertTaskExecutionEvent) { - GcsRayEventConverter converter; - rpc::events::TaskExecutionEvent exec_event; +TEST(GcsRayEventConverterTest, TestConvertTaskExecutionEvent) { + rpc::events::AddEventsRequest request; + rpc::events::RayEvent &event = *request.mutable_events_data()->mutable_events()->Add(); + event.set_event_type(rpc::events::RayEvent::TASK_EXECUTION_EVENT); + rpc::events::TaskExecutionEvent &exec_event = *event.mutable_task_execution_event(); // Set basic fields exec_event.set_task_id("test_task_id"); @@ -351,7 +334,8 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskExecutionEvent) { (*exec_event.mutable_task_state())[rpc::TaskStatus::SUBMITTED_TO_WORKER] = ts; // Call the converter - rpc::TaskEvents task_event = converter.ConvertToTaskEvents(std::move(exec_event)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); + rpc::TaskEvents task_event = task_event_data_requests[0].data().events_by_task()[0]; // Check basic fields EXPECT_EQ(task_event.attempt_number(), 3); @@ -369,9 +353,12 @@ TEST_F(GcsRayEventConverterTest, TestConvertTaskExecutionEvent) { EXPECT_EQ(state_updates.state_ts_ns().at(5), expected_ns); } -TEST_F(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent) { - GcsRayEventConverter converter; - rpc::events::ActorTaskDefinitionEvent actor_def_event; +TEST(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent) { + rpc::events::AddEventsRequest request; + rpc::events::RayEvent &event = *request.mutable_events_data()->mutable_events()->Add(); + event.set_event_type(rpc::events::RayEvent::ACTOR_TASK_DEFINITION_EVENT); + rpc::events::ActorTaskDefinitionEvent &actor_def_event = + *event.mutable_actor_task_definition_event(); // Set basic fields actor_def_event.set_task_id("test_actor_task_id"); @@ -397,7 +384,8 @@ TEST_F(GcsRayEventConverterTest, TestConvertActorTaskDefinitionEvent) { (*actor_def_event.mutable_required_resources())["GPU"] = 1.0; // Call the converter - rpc::TaskEvents task_event = converter.ConvertToTaskEvents(std::move(actor_def_event)); + auto task_event_data_requests = ConvertToTaskEventDataRequests(std::move(request)); + rpc::TaskEvents task_event = task_event_data_requests[0].data().events_by_task()[0]; // Check basic fields EXPECT_EQ(task_event.task_id(), "test_actor_task_id"); From 6421d4b508daf76abb6d9524b4b98e60a1ff5869 Mon Sep 17 00:00:00 2001 From: Abrar Sheikh Date: Thu, 25 Sep 2025 14:58:59 -0700 Subject: [PATCH 1407/1566] round timestamp to 10ms during time series merge (#56876) handles the case where there are timestamps that are microsecond precision apart. This change would help reduce number of samples in the merged timeseries. I have chosen `1ms` as the precision --------- Signed-off-by: abrar Signed-off-by: Douglas Strodtman --- python/ray/serve/_private/metrics_utils.py | 18 ++- .../serve/tests/unit/test_metrics_utils.py | 113 ++++++++++++++++++ 2 files changed, 129 insertions(+), 2 deletions(-) diff --git a/python/ray/serve/_private/metrics_utils.py b/python/ray/serve/_private/metrics_utils.py index e72308aabdba..186fda502748 100644 --- a/python/ray/serve/_private/metrics_utils.py +++ b/python/ray/serve/_private/metrics_utils.py @@ -400,13 +400,17 @@ def merge_instantaneous_total( Uses a k-way merge algorithm for O(n log k) complexity where k is the number of timeseries and n is the total number of events. + Timestamps are rounded to 10ms precision (2 decimal places) and datapoints + with the same rounded timestamp are combined, keeping the most recent value. + Args: replicas_timeseries: List of time series, one per replica. Each time series is a list of TimeStampedValue objects sorted by timestamp. Returns: A list of TimeStampedValue representing the instantaneous total at event times. - Between events, the total remains constant (step function). + Between events, the total remains constant (step function). Timestamps are + rounded to 10ms precision and duplicate timestamps are combined. """ # Filter out empty timeseries active_series = [series for series in replicas_timeseries if series] @@ -454,7 +458,17 @@ def merge_instantaneous_total( # Only add a point if the total actually changed if value != old_value: # Equivalent to new_total != old_total - merged.append(TimeStampedValue(timestamp, running_total)) + # Round timestamp to 10ms precision (2 decimal places) + rounded_timestamp = round(timestamp, 2) + + # Check if we already have a point with this rounded timestamp + # If so, update its value; otherwise, add a new point + if merged and merged[-1].timestamp == rounded_timestamp: + # Update the last point's value since timestamps match + merged[-1] = TimeStampedValue(rounded_timestamp, running_total) + else: + # Add new point with rounded timestamp + merged.append(TimeStampedValue(rounded_timestamp, running_total)) return merged diff --git a/python/ray/serve/tests/unit/test_metrics_utils.py b/python/ray/serve/tests/unit/test_metrics_utils.py index d0caeced7691..4b0d6441637e 100644 --- a/python/ray/serve/tests/unit/test_metrics_utils.py +++ b/python/ray/serve/tests/unit/test_metrics_utils.py @@ -554,6 +554,119 @@ def test_instantaneous_merge_with_epoch_times(self): print(f"Early period average (0-10s): {early_avg:.2f}") print(f"Late period average (20-30s): {late_avg:.2f}") + def test_merge_instantaneous_total_timestamp_rounding(self): + """Test that timestamps are rounded to 10ms precision.""" + series1 = [ + TimeStampedValue(1.001234, 5.0), # Should round to 1.00 + TimeStampedValue(2.005678, 7.0), # Should round to 2.01 + TimeStampedValue(3.009999, 3.0), # Should round to 3.01 + ] + series2 = [ + TimeStampedValue(1.504321, 2.0), # Should round to 1.50 + TimeStampedValue(2.008765, 4.0), # Should round to 2.01 + ] + + result = merge_instantaneous_total([series1, series2]) + + # Verify timestamps are rounded to 2 decimal places (10ms precision) + expected_timestamps = [1.00, 1.50, 2.01, 3.01] + actual_timestamps = [point.timestamp for point in result] + + assert len(actual_timestamps) == len(expected_timestamps) + for actual, expected in zip(actual_timestamps, expected_timestamps): + assert actual == expected, f"Expected {expected}, got {actual}" + + # Verify values are correct with rounded timestamps + expected = [ + TimeStampedValue(1.00, 5.0), # series1 starts + TimeStampedValue(1.50, 7.0), # series2 starts: 5+2=7 + TimeStampedValue( + 2.01, 11.0 + ), # s1 becomes 7, s2 becomes 4. Total: 7 + 4 = 11.0 + TimeStampedValue(3.01, 7.0), # series1 changes: 11+(3-7)=7 + ] + assert_timeseries_equal(result, expected) + + def test_merge_instantaneous_total_combine_same_timestamp(self): + """Test that datapoints with same rounded timestamp are combined.""" + # Create series where multiple events round to the same timestamp + series1 = [ + TimeStampedValue(1.001, 5.0), # Rounds to 1.00 + TimeStampedValue(1.004, 7.0), # Also rounds to 1.00 + TimeStampedValue(2.000, 10.0), # Rounds to 2.00 + ] + series2 = [ + TimeStampedValue(1.002, 3.0), # Rounds to 1.00 + TimeStampedValue(1.005, 4.0), # Also rounds to 1.00 + ] + + result = merge_instantaneous_total([series1, series2]) + + # Should only have unique rounded timestamps + timestamps = [point.timestamp for point in result] + assert timestamps == [ + 1.00, + 2.00, + ], f"Expected [1.00, 2.00], got {timestamps}" + + # The value at 1.00 should be the final state after all changes at that rounded time + # Order of events at rounded timestamp 1.00: + # - series1: 0->5 (t=1.001) + # - series2: 0->3 (t=1.002) + # - series1: 5->7 (t=1.004) + # - series2: 3->4 (t=1.005) + # Final state: series1=7, series2=4, total=11 + expected = [ + TimeStampedValue(1.00, 11.0), # Final combined state at rounded timestamp + TimeStampedValue(2.00, 14.0), # series1 changes: 11+(10-7)=14 + ] + assert_timeseries_equal(result, expected) + + def test_merge_instantaneous_total_edge_cases_rounding(self): + """Test edge cases for timestamp rounding and combination.""" + # Test rounding edge cases + series1 = [ + TimeStampedValue(1.004999, 5.0), # Should round to 1.0 + TimeStampedValue(1.005000, 7.0), # Should round to 1.0 (round half to even) + TimeStampedValue(1.005001, 9.0), # Should round to 1.01 + ] + + result = merge_instantaneous_total([series1]) + + # Should have two distinct rounded timestamps + expected_timestamps = [1.0, 1.01] + actual_timestamps = [point.timestamp for point in result] + assert actual_timestamps == expected_timestamps + + # Values should reflect the changes + # Both 1.004999 and 1.005000 round to 1.0, so they get combined + # Order: 1.004999 (0->5), then 1.005000 (5->7) - final value at 1.0 is 7.0 + # Then 1.005001 (7->9) rounds to 1.01 - value at 1.01 is 9.0 + expected = [ + TimeStampedValue( + 1.0, 7.0 + ), # Final state after all changes that round to 1.0 (1.004999: 0->5, 1.005000: 5->7) + TimeStampedValue(1.01, 9.0), # State after change at 1.005001 (7->9) + ] + assert_timeseries_equal(result, expected) + + def test_merge_instantaneous_total_no_changes_filtered(self): + """Test that zero-change events are filtered even with rounding.""" + series1 = [ + TimeStampedValue(1.001, 5.0), # Rounds to 1.00 + TimeStampedValue(1.004, 5.0), # Also rounds to 1.00, no change + TimeStampedValue(2.000, 7.0), # Rounds to 2.00, change + ] + + result = merge_instantaneous_total([series1]) + + # Should only include points where value actually changed + expected = [ + TimeStampedValue(1.00, 5.0), # Initial value + TimeStampedValue(2.00, 7.0), # Value change + ] + assert_timeseries_equal(result, expected) + if __name__ == "__main__": sys.exit(pytest.main(["-v", "-s", __file__])) From 64321d8be1a22b16b5f493c56495deb204ee0786 Mon Sep 17 00:00:00 2001 From: Jason Carlson <44142882+jcarlson212@users.noreply.github.com> Date: Thu, 25 Sep 2025 18:12:02 -0400 Subject: [PATCH 1408/1566] Change References to `state.actors()` to `ray.util.state.list_actors` or `ray.util.state.get_actor` (#56733) Changes references to `_private.state.actors()` to references to `ray.util.state.list_actors` or `ray.util.state.get_actor` depending on the plurality of the fetch. This helps the `_private` submodule better serve its purpose of containing abstractions only used for core ray internals. Note that `ray.runtime_context` still uses `_private.actors` as it's a core ray internal that needs to function regardless of whether or not the dashboard server is running. ## Related issue number Fixes #53478 --------- Signed-off-by: Jason Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/test_utils.py | 19 +- python/ray/data/tests/conftest.py | 4 +- python/ray/runtime_context.py | 3 +- python/ray/serve/_private/test_utils.py | 4 +- .../serve/tests/test_autoscaling_policy.py | 5 +- python/ray/serve/tests/test_logging.py | 8 +- python/ray/serve/tests/test_metrics.py | 4 +- python/ray/tests/test_actor.py | 10 +- python/ray/tests/test_actor_advanced.py | 187 ++++++++++-------- python/ray/tests/test_actor_group.py | 9 +- python/ray/tests/test_actor_state_metrics.py | 26 +-- python/ray/tests/test_advanced_3.py | 16 +- python/ray/tests/test_advanced_9.py | 1 - python/ray/tests/test_asyncio.py | 8 +- python/ray/tests/test_client_references.py | 14 +- python/ray/tests/test_client_terminate.py | 14 -- python/ray/tests/test_failure.py | 13 +- python/ray/tests/test_failure_4.py | 4 +- python/ray/tests/test_gcs_fault_tolerance.py | 15 +- python/ray/tests/test_global_state.py | 44 ++--- python/ray/tests/test_job.py | 16 +- python/ray/tests/test_object_spilling_2.py | 3 + python/ray/tests/test_placement_group.py | 80 +++++--- python/ray/tests/test_placement_group_2.py | 32 +-- python/ray/tests/test_placement_group_3.py | 17 +- python/ray/tests/test_placement_group_5.py | 32 ++- .../ray/tests/test_runtime_env_standalone.py | 2 +- 27 files changed, 335 insertions(+), 255 deletions(-) diff --git a/python/ray/_private/test_utils.py b/python/ray/_private/test_utils.py index f5c2042f30a1..21a09773c59d 100644 --- a/python/ray/_private/test_utils.py +++ b/python/ray/_private/test_utils.py @@ -25,7 +25,6 @@ import yaml import ray -import ray._private.gcs_utils as gcs_utils import ray._private.memory_monitor as memory_monitor import ray._private.services import ray._private.services as services @@ -48,6 +47,7 @@ ) from ray.util.queue import Empty, Queue, _QueueActor from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy +from ray.util.state import get_actor, list_actors import psutil # We must import psutil after ray because we bundle it with ray. @@ -562,11 +562,10 @@ def wait_for_num_actors(num_actors, state=None, timeout=10): while time.time() - start_time < timeout: if ( len( - [ - _ - for _ in ray._private.state.actors().values() - if state is None or _["State"] == state - ] + list_actors( + filters=[("state", "=", state)] if state else None, + limit=num_actors, + ) ) >= num_actors ): @@ -577,14 +576,14 @@ def wait_for_num_actors(num_actors, state=None, timeout=10): def kill_actor_and_wait_for_failure(actor, timeout=10, retry_interval_ms=100): actor_id = actor._actor_id.hex() - current_num_restarts = ray._private.state.actors(actor_id)["NumRestarts"] + current_num_restarts = get_actor(id=actor_id).num_restarts ray.kill(actor) start = time.time() while time.time() - start <= timeout: - actor_status = ray._private.state.actors(actor_id) + actor_state = get_actor(id=actor_id) if ( - actor_status["State"] == convert_actor_state(gcs_utils.ActorTableData.DEAD) - or actor_status["NumRestarts"] > current_num_restarts + actor_state.state == "DEAD" + or actor_state.num_restarts > current_num_restarts ): return time.sleep(retry_interval_ms / 1000.0) diff --git a/python/ray/data/tests/conftest.py b/python/ray/data/tests/conftest.py index 6ee6e4df6bfc..da07fdb08858 100644 --- a/python/ray/data/tests/conftest.py +++ b/python/ray/data/tests/conftest.py @@ -10,7 +10,6 @@ import pytest import ray -import ray.util.state from ray._common.test_utils import wait_for_condition from ray._private.arrow_utils import get_pyarrow_version from ray._private.internal_api import get_memory_info_reply, get_state_from_address @@ -24,6 +23,7 @@ from ray.tests.conftest import * # noqa from ray.tests.conftest import _ray_start from ray.util.debug import reset_log_once +from ray.util.state import list_actors @pytest.fixture(scope="module") @@ -586,7 +586,7 @@ def __init__(self, last_snapshot=None): ), } - self.actor_metrics = ray.util.state.list_actors(limit=10_000) + self.actor_metrics = list_actors(limit=10_000) def clear_task_count(self): self.task_metrics = [] diff --git a/python/ray/runtime_context.py b/python/ray/runtime_context.py index df669f3447f5..f46e876fa2b1 100644 --- a/python/ray/runtime_context.py +++ b/python/ray/runtime_context.py @@ -4,6 +4,7 @@ import ray._private.worker from ray._private.client_mode_hook import client_mode_hook +from ray._private.state import actors from ray._private.utils import parse_pg_formatted_resources_to_original from ray._raylet import TaskID from ray.runtime_env import RuntimeEnv @@ -405,7 +406,7 @@ def was_current_actor_reconstructed(self): assert ( not self.actor_id.is_nil() ), "This method should't be called inside Ray tasks." - actor_info = ray._private.state.actors(self.actor_id.hex()) + actor_info = actors(actor_id=self.actor_id.hex()) return actor_info and actor_info["NumRestarts"] != 0 @property diff --git a/python/ray/serve/_private/test_utils.py b/python/ray/serve/_private/test_utils.py index acdff7669a51..c3ede074587a 100644 --- a/python/ray/serve/_private/test_utils.py +++ b/python/ray/serve/_private/test_utils.py @@ -14,7 +14,6 @@ from starlette.requests import Request import ray -import ray.util.state as state_api from ray import serve from ray._common.network_utils import build_address from ray._common.test_utils import wait_for_condition @@ -37,6 +36,7 @@ from ray.serve.context import _get_global_client from ray.serve.generated import serve_pb2, serve_pb2_grpc from ray.serve.schema import ApplicationStatus, TargetGroup +from ray.util.state import list_actors TELEMETRY_ROUTE_PREFIX = "/telemetry" STORAGE_ACTOR_NAME = "storage" @@ -279,7 +279,7 @@ def get_num_alive_replicas( """Get the replicas currently running for the given deployment.""" dep_id = DeploymentID(name=deployment_name, app_name=app_name) - actors = state_api.list_actors( + actors = list_actors( filters=[ ("class_name", "=", dep_id.to_replica_actor_class_name()), ("state", "=", "ALIVE"), diff --git a/python/ray/serve/tests/test_autoscaling_policy.py b/python/ray/serve/tests/test_autoscaling_policy.py index c21cf3c6df57..082f8ed4bdff 100644 --- a/python/ray/serve/tests/test_autoscaling_policy.py +++ b/python/ray/serve/tests/test_autoscaling_policy.py @@ -12,7 +12,6 @@ import pytest import ray -import ray.util.state as state_api from ray import serve from ray._common.test_utils import SignalActor, wait_for_condition from ray.serve._private.autoscaling_state import AutoscalingContext @@ -990,13 +989,13 @@ def scaler(): assert len(pids) == 2 def check_num_replicas(live: int, dead: int): - live_actors = state_api.list_actors( + live_actors = list_actors( filters=[ ("class_name", "=", dep_id.to_replica_actor_class_name()), ("state", "=", "ALIVE"), ] ) - dead_actors = state_api.list_actors( + dead_actors = list_actors( filters=[ ("class_name", "=", dep_id.to_replica_actor_class_name()), ("state", "=", "DEAD"), diff --git a/python/ray/serve/tests/test_logging.py b/python/ray/serve/tests/test_logging.py index c1c1b612f338..41edd294f53c 100644 --- a/python/ray/serve/tests/test_logging.py +++ b/python/ray/serve/tests/test_logging.py @@ -20,7 +20,6 @@ from starlette.responses import PlainTextResponse import ray -import ray.util.state as state_api from ray import serve from ray._common.formatters import JSONFormatter from ray._common.test_utils import wait_for_condition @@ -39,6 +38,7 @@ from ray.serve._private.utils import get_component_file_name from ray.serve.context import _get_global_client from ray.serve.schema import EncodingType, LoggingConfig +from ray.util.state import list_actors, list_nodes class FakeLogger: @@ -441,7 +441,7 @@ def get_root(self): serve.run(Handler.bind(), logging_config={"encoding": "TEXT"}) # Get log file information - nodes = state_api.list_nodes() + nodes = list_nodes() serve_log_dir = get_serve_logs_dir() node_ip_address = nodes[0].node_ip proxy_log_file_name = get_component_file_name( @@ -792,7 +792,7 @@ def test_start_serve_with_logging_config(self, serve_and_ray_shutdown): serve.start(logging_config={"log_level": "DEBUG", "encoding": "JSON"}) serve_log_dir = get_serve_logs_dir() # Check controller log - actors = state_api.list_actors() + actors = list_actors() expected_log_regex = [".*logger with logging config.*"] for actor in actors: print(actor["name"]) @@ -805,7 +805,7 @@ def test_start_serve_with_logging_config(self, serve_and_ray_shutdown): check_log_file(controller_log_path, expected_log_regex) # Check proxy log - nodes = state_api.list_nodes() + nodes = list_nodes() node_ip_address = nodes[0].node_ip proxy_log_file_name = get_component_file_name( "proxy", node_ip_address, component_type=None, suffix=".log" diff --git a/python/ray/serve/tests/test_metrics.py b/python/ray/serve/tests/test_metrics.py index cf2107d339c8..8ad30bb6f4c8 100644 --- a/python/ray/serve/tests/test_metrics.py +++ b/python/ray/serve/tests/test_metrics.py @@ -15,7 +15,6 @@ from websockets.sync.client import connect import ray -import ray.util.state as state_api from ray import serve from ray._common.network_utils import parse_address from ray._common.test_utils import SignalActor, wait_for_condition @@ -30,6 +29,7 @@ ) from ray.serve._private.utils import block_until_http_ready from ray.serve.generated import serve_pb2, serve_pb2_grpc +from ray.util.state import list_actors def extract_tags(line: str) -> Dict[str, str]: @@ -1081,7 +1081,7 @@ def f(): pass serve.run(f.bind(), name="app") - actors = state_api.list_actors(filters=[("state", "=", "ALIVE")]) + actors = list_actors(filters=[("state", "=", "ALIVE")]) class_names = {actor["class_name"] for actor in actors} assert class_names.issuperset( {"ServeController", "ProxyActor", "ServeReplica:app:f"} diff --git a/python/ray/tests/test_actor.py b/python/ray/tests/test_actor.py index 7055b78c46e9..058693994df8 100644 --- a/python/ray/tests/test_actor.py +++ b/python/ray/tests/test_actor.py @@ -1698,7 +1698,7 @@ def get_pid(self): psutil.Process(pid).kill() a_actor_id = a._actor_id.hex() - wait_for_condition(lambda: ray.state.actors(a_actor_id)["State"] == "DEAD") + wait_for_condition(lambda: ray.util.state.get_actor(id=a_actor_id).state == "DEAD") # When a reference is held, the name cannot be reused. with pytest.raises(ValueError): @@ -1721,7 +1721,9 @@ def wait_new_actor_ready(): # ray.kill can proactively release the name. ray.kill(b) - wait_for_condition(lambda: ray.state.actors(b._actor_id.hex())["State"] == "DEAD") + wait_for_condition( + lambda: ray.util.state.get_actor(id=b._actor_id.hex()).state == "DEAD" + ) c = Actor.options(name=ACTOR_NAME, lifetime="detached").remote() ray.get(c.__ray_ready__.remote()) @@ -1730,7 +1732,9 @@ def wait_new_actor_ready(): pid = ray.get(c.get_pid.remote()) psutil.Process(pid).kill() - wait_for_condition(lambda: ray.state.actors(c._actor_id.hex())["State"] == "DEAD") + wait_for_condition( + lambda: ray.util.state.get_actor(id=c._actor_id.hex()).state == "DEAD" + ) # Detached actors do not subscribe to reference counting, so # they release the actor name when the actor is dead, without waiting for the reference count diff --git a/python/ray/tests/test_actor_advanced.py b/python/ray/tests/test_actor_advanced.py index 812cfd7f9557..7fdeb562dff6 100644 --- a/python/ray/tests/test_actor_advanced.py +++ b/python/ray/tests/test_actor_advanced.py @@ -12,7 +12,6 @@ from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.ray_constants import gcs_actor_scheduling_enabled from ray._private.test_utils import ( - convert_actor_state, kill_actor_and_wait_for_failure, make_global_state_accessor, run_string_as_driver, @@ -526,6 +525,11 @@ def foobar(self): assert ray.get(detached_actor.foobar.remote()) == ["bar", "bar"] +@pytest.mark.parametrize( + "ray_start_regular", + [{"include_dashboard": True}], + indirect=True, +) def test_detached_actor_cleanup(ray_start_regular): @ray.remote class DetachedActor: @@ -546,17 +550,12 @@ def create_and_kill_actor(actor_name): detached_actor = ray.get_actor(dup_actor_name) ray.kill(detached_actor) # Wait until actor dies. - actor_status = ray._private.state.actors( - actor_id=detached_actor._actor_id.hex() - ) + actor_status = ray.util.state.get_actor(id=detached_actor._actor_id.hex()) max_wait_time = 10 wait_time = 0 - while actor_status["State"] != convert_actor_state( - gcs_utils.ActorTableData.DEAD - ): - actor_status = ray._private.state.actors( - actor_id=detached_actor._actor_id.hex() - ) + while actor_status.state != "DEAD": + actor_status = ray.util.state.get_actor(id=detached_actor._actor_id.hex()) + print(f"actor status is {actor_status}") time.sleep(1.0) wait_time += 1 if wait_time >= max_wait_time: @@ -576,28 +575,45 @@ def create_and_kill_actor(actor_name): import ray._private.gcs_utils as gcs_utils import time from ray._private.test_utils import convert_actor_state -ray.init(address="{}", namespace="default_test_namespace") +import traceback -@ray.remote -class DetachedActor: - def ping(self): - return "pong" -# Make sure same name is creatable after killing it. -detached_actor = DetachedActor.options(lifetime="detached", name="{}").remote() -assert ray.get(detached_actor.ping.remote()) == "pong" -ray.kill(detached_actor) -# Wait until actor dies. -actor_status = ray._private.state.actors(actor_id=detached_actor._actor_id.hex()) -max_wait_time = 10 -wait_time = 0 -while actor_status["State"] != convert_actor_state(gcs_utils.ActorTableData.DEAD): # noqa - actor_status = ray._private.state.actors(actor_id=detached_actor._actor_id.hex()) - time.sleep(1.0) - wait_time += 1 - if wait_time >= max_wait_time: - assert None, ( - "It took too much time to kill an actor") +try: + + def _load_state_api(): + try: + from ray.util import state as state_api + return state_api + except Exception: + pass + + raise ImportError("No usable Ray State API found") + + ray.init(address="{}", namespace="default_test_namespace") + + @ray.remote + class DetachedActor: + def ping(self): + return "pong" + + # Make sure same name is creatable after killing it. + detached_actor = DetachedActor.options(lifetime="detached", name="{}").remote() + assert ray.get(detached_actor.ping.remote()) == "pong" + ray.kill(detached_actor) + # Wait until actor dies. + actor_status = _load_state_api().get_actor(id=detached_actor._actor_id.hex()) + max_wait_time = 10 + wait_time = 0 + while actor_status.state != "DEAD": # noqa + actor_status = _load_state_api().get_actor(id=detached_actor._actor_id.hex()) + time.sleep(1.0) + wait_time += 1 + if wait_time >= max_wait_time: + assert None, ( + "It took too much time to kill an actor") +except Exception: + traceback.print_exc() + raise """.format( address, dup_actor_name ) @@ -642,7 +658,14 @@ def hi(self): @pytest.mark.parametrize( "ray_start_cluster", - [{"num_cpus": 3, "num_nodes": 1, "resources": {"first_node": 5}}], + [ + { + "num_cpus": 3, + "num_nodes": 1, + "resources": {"first_node": 5}, + "include_dashboard": True, + } + ], indirect=True, ) def test_detached_actor_cleanup_due_to_failure(ray_start_cluster): @@ -663,13 +686,11 @@ def kill_itself(self): node_failure_actor_name = "node_failure_actor_name" def wait_until_actor_dead(handle): - actor_status = ray._private.state.actors(actor_id=handle._actor_id.hex()) + actor_status = ray.util.state.get_actor(id=handle._actor_id.hex()) max_wait_time = 10 wait_time = 0 - while actor_status["State"] != convert_actor_state( - gcs_utils.ActorTableData.DEAD - ): - actor_status = ray._private.state.actors(actor_id=handle._actor_id.hex()) + while actor_status.state != "DEAD": + actor_status = ray.util.state.get_actor(id=handle._actor_id.hex()) time.sleep(1.0) wait_time += 1 if wait_time >= max_wait_time: @@ -947,51 +968,6 @@ def condition1(): ray.shutdown() -def test_kill_pending_actor_with_no_restart_false(): - cluster = ray.init() - global_state_accessor = make_global_state_accessor(cluster) - - @ray.remote(resources={"WORKER": 1.0}, max_restarts=1) - class PendingActor: - pass - - # Kill actor with `no_restart=False`. - actor = PendingActor.remote() - # TODO(ffbin): The raylet doesn't guarantee the order when dealing with - # RequestWorkerLease and CancelWorkerLease. If we kill the actor - # immediately after creating the actor, we may not be able to clean up - # the request cached by the raylet. - # See https://github.com/ray-project/ray/issues/13545 for details. - time.sleep(1) - ray.kill(actor, no_restart=False) - - def condition1(): - message = global_state_accessor.get_all_resource_usage() - resource_usages = gcs_utils.ResourceUsageBatchData.FromString(message) - if len(resource_usages.resource_load_by_shape.resource_demands) == 0: - return False - return True - - # Actor restarts, so the infeasible task queue length is 1. - wait_for_condition(condition1, timeout=10) - - # Kill actor again and actor is dead, - # so the infeasible task queue length is 0. - ray.kill(actor, no_restart=False) - - def condition2(): - message = global_state_accessor.get_all_resource_usage() - resource_usages = gcs_utils.ResourceUsageBatchData.FromString(message) - if len(resource_usages.resource_load_by_shape.resource_demands) == 0: - return True - return False - - wait_for_condition(condition2, timeout=10) - - global_state_accessor.disconnect() - ray.shutdown() - - def test_actor_timestamps(ray_start_regular): @ray.remote class Foo: @@ -1055,6 +1031,51 @@ def restarted(): restarted() +def test_kill_pending_actor_with_no_restart_false(): + cluster = ray.init() + global_state_accessor = make_global_state_accessor(cluster) + + @ray.remote(resources={"WORKER": 1.0}, max_restarts=1) + class PendingActor: + pass + + # Kill actor with `no_restart=False`. + actor = PendingActor.remote() + # TODO(ffbin): The raylet doesn't guarantee the order when dealing with + # RequestWorkerLease and CancelWorkerLease. If we kill the actor + # immediately after creating the actor, we may not be able to clean up + # the request cached by the raylet. + # See https://github.com/ray-project/ray/issues/13545 for details. + time.sleep(1) + ray.kill(actor, no_restart=False) + + def condition1(): + message = global_state_accessor.get_all_resource_usage() + resource_usages = gcs_utils.ResourceUsageBatchData.FromString(message) + if len(resource_usages.resource_load_by_shape.resource_demands) == 0: + return False + return True + + # Actor restarts, so the infeasible task queue length is 1. + wait_for_condition(condition1, timeout=10) + + # Kill actor again and actor is dead, + # so the infeasible task queue length is 0. + ray.kill(actor, no_restart=False) + + def condition2(): + message = global_state_accessor.get_all_resource_usage() + resource_usages = gcs_utils.ResourceUsageBatchData.FromString(message) + if len(resource_usages.resource_load_by_shape.resource_demands) == 0: + return True + return False + + wait_for_condition(condition2, timeout=10) + + global_state_accessor.disconnect() + ray.shutdown() + + def test_actor_namespace_access(ray_start_regular): @ray.remote class A: @@ -1071,7 +1092,7 @@ def hi(self): def test_get_actor_after_killed(shutdown_only): - ray.init(num_cpus=2) + ray.init(num_cpus=2, include_dashboard=True) @ray.remote class A: @@ -1302,7 +1323,7 @@ def ready(self): ray.get([actor.ready.remote() for actor in actors]) alive_actors = 0 for a in list_actors(): - if a["state"] == "ALIVE": + if a.state == "ALIVE": alive_actors += 1 assert alive_actors == 10 """ diff --git a/python/ray/tests/test_actor_group.py b/python/ray/tests/test_actor_group.py index 50bc6134f989..713b7145b363 100644 --- a/python/ray/tests/test_actor_group.py +++ b/python/ray/tests/test_actor_group.py @@ -6,6 +6,7 @@ import ray from ray.util.actor_group import ActorGroup +from ray.util.state import list_actors class DummyActor: @@ -42,12 +43,18 @@ def test_actor_creation_num_cpus(ray_start_2_cpus): ag.shutdown() +@pytest.mark.parametrize( + "ray_start_2_cpus", + [{"include_dashboard": True}], + indirect=True, +) def test_actor_shutdown(ray_start_2_cpus): assert ray.available_resources()["CPU"] == 2 ag = ActorGroup(actor_cls=DummyActor, num_actors=2) time.sleep(1) assert "CPU" not in ray.available_resources() - assert len(ray._private.state.actors()) == 2 + + assert len(list_actors()) == 2 ag.shutdown() time.sleep(1) assert ray.available_resources()["CPU"] == 2 diff --git a/python/ray/tests/test_actor_state_metrics.py b/python/ray/tests/test_actor_state_metrics.py index cf242290c944..60d3128702d5 100644 --- a/python/ray/tests/test_actor_state_metrics.py +++ b/python/ray/tests/test_actor_state_metrics.py @@ -8,7 +8,6 @@ import ray from ray._common.test_utils import wait_for_condition -from ray._common.utils import hex_to_binary from ray._private.test_utils import ( raw_metrics, run_string_as_driver, @@ -281,7 +280,7 @@ def test_tracking_by_name(shutdown_only): def test_get_all_actors_info(shutdown_only): - ray.init(num_cpus=2) + ray.init(num_cpus=2, include_dashboard=True) @ray.remote(num_cpus=1) class Actor: @@ -291,28 +290,31 @@ def ping(self): actor_1 = Actor.remote() actor_2 = Actor.remote() ray.get([actor_1.ping.remote(), actor_2.ping.remote()], timeout=5) - actors_info = ray.state.actors() + actors_info = list_actors(detail=True) assert len(actors_info) == 2 job_id_hex = ray.get_runtime_context().get_job_id() - job_id = ray.JobID(hex_to_binary(job_id_hex)) - actors_info = ray.state.actors(job_id=job_id) + actors_info = list_actors(filters=[("job_id", "=", job_id_hex)], detail=True) assert len(actors_info) == 2 - actors_info = ray.state.actors(job_id=ray.JobID.from_int(100)) + actors_info = list_actors( + filters=[("job_id", "=", ray.JobID.from_int(100).hex())], detail=True + ) assert len(actors_info) == 0 # To filter actors by state actor_3 = Actor.remote() wait_for_condition( - lambda: len(ray.state.actors(actor_state_name="PENDING_CREATION")) == 1 + lambda: len(list_actors(filters=[("state", "=", "PENDING_CREATION")])) == 1 ) - assert ( - actor_3._actor_id.hex() - in ray.state.actors(actor_state_name="PENDING_CREATION").keys() + assert actor_3._actor_id.hex() in list( + map( + lambda s: s.actor_id, + list_actors(filters=[("state", "=", "PENDING_CREATION")]), + ) ) - with pytest.raises(ValueError, match="not a valid actor state name"): - actors_info = ray.state.actors(actor_state_name="UNKONWN_STATE") + with pytest.raises(ray.util.state.exception.RayStateApiException): + actors_info = list_actors(filters=[("state", "=", "UNKONWN_STATE")]) if __name__ == "__main__": diff --git a/python/ray/tests/test_advanced_3.py b/python/ray/tests/test_advanced_3.py index 09d0743b6a0d..ad13109491e8 100644 --- a/python/ray/tests/test_advanced_3.py +++ b/python/ray/tests/test_advanced_3.py @@ -14,6 +14,7 @@ import ray._private.ray_constants import ray._private.utils from ray._private.test_utils import check_call_ray, wait_for_num_actors +from ray.util.state import list_actors import psutil @@ -22,7 +23,9 @@ def test_global_state_api(shutdown_only): - ray.init(num_cpus=5, num_gpus=3, resources={"CustomResource": 1}) + ray.init( + num_cpus=5, num_gpus=3, resources={"CustomResource": 1}, include_dashboard=True + ) assert ray.cluster_resources()["CPU"] == 5 assert ray.cluster_resources()["GPU"] == 3 @@ -47,15 +50,12 @@ def __init__(self): # Wait for actor to be created wait_for_num_actors(1) - actor_table = ray._private.state.actors() + actor_table = list_actors() # should be using this API now for fetching actors assert len(actor_table) == 1 - (actor_info,) = actor_table.values() - assert actor_info["JobID"] == job_id.hex() - assert actor_info["Name"] == "test_actor" - assert "IPAddress" in actor_info["Address"] - assert "IPAddress" in actor_info["OwnerAddress"] - assert actor_info["Address"]["Port"] != actor_info["OwnerAddress"]["Port"] + actor_info = actor_table[0] + assert actor_info.job_id == job_id.hex() + assert actor_info.name == "test_actor" job_table = ray._private.state.jobs() diff --git a/python/ray/tests/test_advanced_9.py b/python/ray/tests/test_advanced_9.py index dd139ebed0a3..4c41df7c07a8 100644 --- a/python/ray/tests/test_advanced_9.py +++ b/python/ray/tests/test_advanced_9.py @@ -6,7 +6,6 @@ import ray import ray._private.ray_constants as ray_constants -import ray.util.state from ray._common.network_utils import parse_address from ray._common.test_utils import Semaphore, wait_for_condition from ray._private.test_utils import ( diff --git a/python/ray/tests/test_asyncio.py b/python/ray/tests/test_asyncio.py index 5223ffd98701..05b1cc62fca1 100644 --- a/python/ray/tests/test_asyncio.py +++ b/python/ray/tests/test_asyncio.py @@ -14,6 +14,7 @@ kill_actor_and_wait_for_failure, wait_for_pid_to_exit, ) +from ray.util.state import get_actor def test_asyncio_actor(ray_start_regular_shared): @@ -208,6 +209,11 @@ async def test_asyncio_double_await(ray_start_regular_shared): @pytest.mark.asyncio +@pytest.mark.parametrize( + "ray_start_regular_shared", + [{"include_dashboard": True}], + indirect=True, +) async def test_asyncio_exit_actor(ray_start_regular_shared): # https://github.com/ray-project/ray/issues/12649 # The test should just hang without the fix. @@ -240,7 +246,7 @@ async def loop_forever(self): @ray.remote def check_actor_gone_now(): def cond(): - return ray._private.state.actors()[a._ray_actor_id.hex()]["State"] != 2 + return get_actor(id=a._ray_actor_id.hex()).state != "ALIVE" wait_for_condition(cond) diff --git a/python/ray/tests/test_client_references.py b/python/ray/tests/test_client_references.py index 7614b02d76f8..e5671bf06d21 100644 --- a/python/ray/tests/test_client_references.py +++ b/python/ray/tests/test_client_references.py @@ -185,7 +185,15 @@ def test_delete_ref_on_object_deletion(ray_start_regular): @pytest.mark.parametrize( - "ray_start_cluster", [{"num_nodes": 1, "do_init": False}], indirect=True + "ray_start_cluster", + [ + { + "num_nodes": 1, + "do_init": False, + "include_dashboard": True, + } + ], + indirect=True, ) def test_delete_actor_on_disconnect(ray_start_cluster): cluster = ray_start_cluster @@ -216,9 +224,7 @@ def get(self): def test_cond(): alive_actors = [ - v - for v in real_ray._private.state.actors().values() - if v["State"] != "DEAD" + v for v in real_ray.util.state.list_actors() if v.state != "DEAD" ] return len(alive_actors) == 0 diff --git a/python/ray/tests/test_client_terminate.py b/python/ray/tests/test_client_terminate.py index f0f1ebd2a849..28bfbc3e7231 100644 --- a/python/ray/tests/test_client_terminate.py +++ b/python/ray/tests/test_client_terminate.py @@ -3,7 +3,6 @@ import pytest -from ray._private.test_utils import convert_actor_state from ray.exceptions import ( GetTimeoutError, ObjectLostError, @@ -22,19 +21,6 @@ def valid_exceptions(use_force): return (RayTaskError, TaskCancelledError) -def _all_actors_dead(ray): - import ray as real_ray - import ray._private.gcs_utils as gcs_utils - - def _all_actors_dead_internal(): - return all( - actor["State"] == convert_actor_state(gcs_utils.ActorTableData.DEAD) - for actor in list(real_ray._private.state.actors().values()) - ) - - return _all_actors_dead_internal - - @pytest.mark.skipif(sys.platform == "win32", reason="Flaky on Windows.") @pytest.mark.parametrize("use_force", [True, False]) def test_cancel_chain(ray_start_regular, use_force): diff --git a/python/ray/tests/test_failure.py b/python/ray/tests/test_failure.py index a63553b4539f..d22188111924 100644 --- a/python/ray/tests/test_failure.py +++ b/python/ray/tests/test_failure.py @@ -9,12 +9,10 @@ import pytest import ray -import ray._private.gcs_utils as gcs_utils import ray._private.ray_constants as ray_constants import ray._private.utils from ray._common.test_utils import SignalActor, wait_for_condition from ray._private.test_utils import ( - convert_actor_state, get_error_message, init_error_pubsub, ) @@ -562,6 +560,7 @@ def f(self): "health_check_period_ms": 100, "timeout_ms_task_wait_for_death_info": 100, }, + "include_dashboard": True, # for list_actors API }, ], indirect=True, @@ -619,13 +618,11 @@ def never_return(self): # Wait for the actor to be alive again in a new worker process. def check_actor_restart(): - actors = list(ray._private.state.actors().values()) + actors = ray.util.state.list_actors( + detail=True + ) # detail is needed for num_restarts to populate assert len(actors) == 1 - print(actors) - return ( - actors[0]["State"] == convert_actor_state(gcs_utils.ActorTableData.ALIVE) - and actors[0]["NumRestarts"] == 1 - ) + return actors[0].state == "ALIVE" and actors[0].num_restarts == 1 wait_for_condition(check_actor_restart) diff --git a/python/ray/tests/test_failure_4.py b/python/ray/tests/test_failure_4.py index ed68031ff614..ff876b15321d 100644 --- a/python/ray/tests/test_failure_4.py +++ b/python/ray/tests/test_failure_4.py @@ -556,7 +556,7 @@ def test_task_failure_when_driver_local_raylet_dies(ray_start_cluster): _system_config=system_configs, ) cluster.wait_for_nodes() - ray.init(address=cluster.address) + ray.init(address=cluster.address, include_dashboard=True) @ray.remote(resources={"foo": 1}) def func(): @@ -700,7 +700,7 @@ def sleeper(): time.sleep(3) os.kill(os.getpid(), 9) - with ray.init(): + with ray.init(include_dashboard=True): ref = sleeper.remote() raylet = ray.nodes()[0] diff --git a/python/ray/tests/test_gcs_fault_tolerance.py b/python/ray/tests/test_gcs_fault_tolerance.py index 697bb51fed41..431f5ee68955 100644 --- a/python/ray/tests/test_gcs_fault_tolerance.py +++ b/python/ray/tests/test_gcs_fault_tolerance.py @@ -12,13 +12,11 @@ from filelock import FileLock import ray -import ray._private.gcs_utils as gcs_utils from ray._common.network_utils import parse_address from ray._common.test_utils import wait_for_condition from ray._private import ray_constants from ray._private.runtime_env.plugin import RuntimeEnvPlugin from ray._private.test_utils import ( - convert_actor_state, external_redis_test_enabled, generate_system_config_map, redis_sentinel_replicas, @@ -261,9 +259,12 @@ def ready(self): @pytest.mark.parametrize( "ray_start_regular_with_external_redis", [ - generate_system_config_map( - gcs_rpc_server_reconnect_timeout_s=60, - ) + { + **generate_system_config_map( + gcs_rpc_server_reconnect_timeout_s=60, + ), + "include_dashboard": True, + } ], indirect=True, ) @@ -279,8 +280,8 @@ def test_del_actor_after_gcs_server_restart(ray_start_regular_with_external_redi del actor def condition(): - actor_status = ray._private.state.actors(actor_id=actor_id) - if actor_status["State"] == convert_actor_state(gcs_utils.ActorTableData.DEAD): + actor_status = ray.util.state.get_actor(id=actor_id) + if actor_status.state == "DEAD": return True else: return False diff --git a/python/ray/tests/test_global_state.py b/python/ray/tests/test_global_state.py index dcf9654deea5..38a72e68cb70 100644 --- a/python/ray/tests/test_global_state.py +++ b/python/ray/tests/test_global_state.py @@ -7,14 +7,13 @@ import ray import ray._private.gcs_utils as gcs_utils -import ray._private.ray_constants from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( - convert_actor_state, make_global_state_accessor, ) from ray._raylet import GcsClient from ray.core.generated import autoscaler_pb2 +from ray.util.state import list_actors def test_replenish_resources(ray_start_regular): @@ -150,6 +149,11 @@ def test_add_remove_cluster_resources(ray_start_cluster_head): assert ray.cluster_resources()["CPU"] == 6 +@pytest.mark.parametrize( + "ray_start_regular", + [{"include_dashboard": True}], + indirect=True, +) def test_global_state_actor_table(ray_start_regular): @ray.remote class Actor: @@ -157,28 +161,23 @@ def ready(self): return os.getpid() # actor table should be empty at first - assert len(ray._private.state.actors()) == 0 - - # actor table should contain only one entry - def get_actor_table_data(field): - return list(ray._private.state.actors().values())[0][field] + assert len(list_actors()) == 0 a = Actor.remote() pid = ray.get(a.ready.remote()) - assert len(ray._private.state.actors()) == 1 - assert get_actor_table_data("Pid") == pid + assert len(list_actors()) == 1 + assert list_actors()[0].pid == pid # actor table should contain only this entry # even when the actor goes out of scope del a - dead_state = convert_actor_state(gcs_utils.ActorTableData.DEAD) for _ in range(10): - if get_actor_table_data("State") == dead_state: + if list_actors()[0].state == "DEAD": break else: time.sleep(0.5) - assert get_actor_table_data("State") == dead_state + assert list_actors()[0].state == "DEAD" def test_global_state_worker_table(ray_start_regular): @@ -190,6 +189,11 @@ def worker_initialized(): wait_for_condition(worker_initialized) +@pytest.mark.parametrize( + "ray_start_regular", + [{"include_dashboard": True}], + indirect=True, +) def test_global_state_actor_entry(ray_start_regular): @ray.remote class Actor: @@ -197,23 +201,19 @@ def ready(self): pass # actor table should be empty at first - assert len(ray._private.state.actors()) == 0 + assert len(list_actors()) == 0 a = Actor.remote() b = Actor.remote() ray.get(a.ready.remote()) ray.get(b.ready.remote()) - assert len(ray._private.state.actors()) == 2 + assert len(list_actors()) == 2 a_actor_id = a._actor_id.hex() b_actor_id = b._actor_id.hex() - assert ray._private.state.actors(actor_id=a_actor_id)["ActorID"] == a_actor_id - assert ray._private.state.actors(actor_id=a_actor_id)[ - "State" - ] == convert_actor_state(gcs_utils.ActorTableData.ALIVE) - assert ray._private.state.actors(actor_id=b_actor_id)["ActorID"] == b_actor_id - assert ray._private.state.actors(actor_id=b_actor_id)[ - "State" - ] == convert_actor_state(gcs_utils.ActorTableData.ALIVE) + assert ray.util.state.get_actor(id=a_actor_id).actor_id == a_actor_id + assert ray.util.state.get_actor(id=a_actor_id).state == "ALIVE" + assert ray.util.state.get_actor(id=b_actor_id).actor_id == b_actor_id + assert ray.util.state.get_actor(id=b_actor_id).state == "ALIVE" def test_node_name_cluster(ray_start_cluster): diff --git a/python/ray/tests/test_job.py b/python/ray/tests/test_job.py index 4f2efb9494db..9f6611c8ffc6 100644 --- a/python/ray/tests/test_job.py +++ b/python/ray/tests/test_job.py @@ -82,7 +82,7 @@ def subtask(): import lib -ray.init(address="{}") +ray.init(address="{}", include_dashboard=True) assert ray.get(lib.task.remote()) == {} """ @@ -128,7 +128,7 @@ def test_job_observability(ray_start_regular): import ray from time import sleep -ray.init(address="{}") +ray.init(address="{}", include_dashboard=True) open("{}", "w+").close() print("My job id: ", str(ray.get_runtime_context().get_job_id())) @@ -208,7 +208,7 @@ def test_config_metadata(shutdown_only): job_config = JobConfig(metadata={"abc": "xyz"}) job_config.set_metadata("xyz", "abc") - ray.init(job_config=job_config) + ray.init(job_config=job_config, include_dashboard=True) from_worker = ray._private.worker.global_worker.core_worker.get_job_config() @@ -257,7 +257,7 @@ def line_exists(lines: List[str], regex_target: str): def test_removed_internal_flags(shutdown_only): - ray.init() + ray.init(include_dashboard=True) address = ray._private.worker._global_node.webui_url address = format_web_url(address) client = JobSubmissionClient(address) @@ -284,7 +284,7 @@ def test_entrypoint_field(shutdown_only, tmp_path): """Make sure the entrypoint field is correctly set for jobs.""" driver = """ import ray -ray.init("auto") +ray.init("auto", include_dashboard=True) @ray.remote def f(): @@ -292,7 +292,7 @@ def f(): ray.get(f.remote()) """ - ray.init() + ray.init(include_dashboard=True) address = ray._private.worker._global_node.webui_url address = format_web_url(address) client = JobSubmissionClient(address) @@ -359,7 +359,7 @@ def test_task_spec_root_detached_actor_id(shutdown_only): for task spec of submitted task or actor. """ - ray.init() + ray.init(include_dashboard=True) @ray.remote def get_task_root_detached_actor_id(): @@ -407,7 +407,7 @@ def test_no_process_leak_after_job_finishes(ray_start_cluster): """ cluster = ray_start_cluster cluster.add_node(num_cpus=8) - ray.init(address=cluster.address) + ray.init(address=cluster.address, include_dashboard=True) @ray.remote(num_cpus=0) class PidActor: diff --git a/python/ray/tests/test_object_spilling_2.py b/python/ray/tests/test_object_spilling_2.py index 939b22380378..95616d6a8087 100644 --- a/python/ray/tests/test_object_spilling_2.py +++ b/python/ray/tests/test_object_spilling_2.py @@ -109,6 +109,9 @@ def test_delete_objects_on_worker_failure(object_spilling_config, shutdown_only) "object_store_full_delay_ms": 100, "object_spilling_config": object_spilling_config, "min_spilling_size": 0, + # ↓↓↓ make cleanup fast/consistent in CI + "object_timeout_milliseconds": 200, + "local_gc_min_interval_s": 1, }, ) diff --git a/python/ray/tests/test_placement_group.py b/python/ray/tests/test_placement_group.py index 6cbc51ca12be..4fe5e5be5c62 100644 --- a/python/ray/tests/test_placement_group.py +++ b/python/ray/tests/test_placement_group.py @@ -168,6 +168,15 @@ def g(): @pytest.mark.parametrize("gcs_actor_scheduling_enabled", [False, True]) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_pack(ray_start_cluster, gcs_actor_scheduling_enabled): @ray.remote(num_cpus=2) class Actor(object): @@ -213,21 +222,27 @@ def value(self): ray.get(actor_1.value.remote()) ray.get(actor_2.value.remote()) - # Get all actors. - actor_infos = ray._private.state.actors() - # Make sure all actors in counter_list are collocated in one node. - actor_info_1 = actor_infos.get(actor_1._actor_id.hex()) - actor_info_2 = actor_infos.get(actor_2._actor_id.hex()) + actor_info_1 = ray.util.state.get_actor(id=actor_1._actor_id.hex()) + actor_info_2 = ray.util.state.get_actor(id=actor_2._actor_id.hex()) assert actor_info_1 and actor_info_2 - node_of_actor_1 = actor_info_1["Address"]["NodeID"] - node_of_actor_2 = actor_info_2["Address"]["NodeID"] + node_of_actor_1 = actor_info_1.node_id + node_of_actor_2 = actor_info_2.node_id assert node_of_actor_1 == node_of_actor_2 placement_group_assert_no_leak([placement_group]) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_strict_pack(ray_start_cluster): @ray.remote(num_cpus=2) class Actor(object): @@ -271,23 +286,29 @@ def value(self): ray.get(actor_1.value.remote()) ray.get(actor_2.value.remote()) - # Get all actors. - actor_infos = ray._private.state.actors() - # Make sure all actors in counter_list are collocated in one node. - actor_info_1 = actor_infos.get(actor_1._actor_id.hex()) - actor_info_2 = actor_infos.get(actor_2._actor_id.hex()) + actor_info_1 = ray.util.state.get_actor(id=actor_1._actor_id.hex()) + actor_info_2 = ray.util.state.get_actor(id=actor_2._actor_id.hex()) assert actor_info_1 and actor_info_2 - node_of_actor_1 = actor_info_1["Address"]["NodeID"] - node_of_actor_2 = actor_info_2["Address"]["NodeID"] + node_of_actor_1 = actor_info_1.node_id + node_of_actor_2 = actor_info_2.node_id assert node_of_actor_1 == node_of_actor_2 placement_group_assert_no_leak([placement_group]) @pytest.mark.parametrize("gcs_actor_scheduling_enabled", [False, True]) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_spread(ray_start_cluster, gcs_actor_scheduling_enabled): @ray.remote class Actor(object): @@ -328,19 +349,25 @@ def value(self): [ray.get(actor.value.remote()) for actor in actors] - # Get all actors. - actor_infos = ray._private.state.actors() - # Make sure all actors in counter_list are located in separate nodes. - actor_info_objs = [actor_infos.get(actor._actor_id.hex()) for actor in actors] - assert are_pairwise_unique( - [info_obj["Address"]["NodeID"] for info_obj in actor_info_objs] - ) + actor_info_objs = [ + ray.util.state.get_actor(id=actor._actor_id.hex()) for actor in actors + ] + assert are_pairwise_unique([info_obj.node_id for info_obj in actor_info_objs]) placement_group_assert_no_leak([placement_group]) @pytest.mark.parametrize("gcs_actor_scheduling_enabled", [False, True]) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_strict_spread(ray_start_cluster, gcs_actor_scheduling_enabled): @ray.remote class Actor(object): @@ -381,14 +408,11 @@ def value(self): [ray.get(actor.value.remote()) for actor in actors] - # Get all actors. - actor_infos = ray._private.state.actors() - # Make sure all actors in counter_list are located in separate nodes. - actor_info_objs = [actor_infos.get(actor._actor_id.hex()) for actor in actors] - assert are_pairwise_unique( - [info_obj["Address"]["NodeID"] for info_obj in actor_info_objs] - ) + actor_info_objs = [ + ray.util.state.get_actor(id=actor._actor_id.hex()) for actor in actors + ] + assert are_pairwise_unique([info_obj.node_id for info_obj in actor_info_objs]) actors_no_special_bundle = [ Actor.options( diff --git a/python/ray/tests/test_placement_group_2.py b/python/ray/tests/test_placement_group_2.py index a23a3bcba118..90ecfca1891b 100644 --- a/python/ray/tests/test_placement_group_2.py +++ b/python/ray/tests/test_placement_group_2.py @@ -4,11 +4,9 @@ import pytest import ray -import ray._private.gcs_utils as gcs_utils import ray.cluster_utils from ray._common.test_utils import wait_for_condition from ray._private.test_utils import ( - convert_actor_state, generate_system_config_map, get_other_nodes, kill_actor_and_wait_for_failure, @@ -342,12 +340,22 @@ def ping(self): assert all(ray.get([a.ping.remote() for a in actors])) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "num_nodes": 0, # We want to explicitely add the number of schedulable nodes to force test stability + "include_dashboard": True, # Dashboard is needed for actor state API + } + ], + indirect=True, +) def test_capture_child_actors(ray_start_cluster): cluster = ray_start_cluster total_num_actors = 4 for _ in range(2): cluster.add_node(num_cpus=total_num_actors) - ray.init(address=cluster.address) + ray.init(address=cluster.address, ignore_reinit_error=True) pg = ray.util.placement_group([{"CPU": 2}, {"CPU": 2}], strategy="STRICT_PACK") ray.get(pg.ready()) @@ -400,9 +408,9 @@ def schedule_nested_actor_outside_pg(self): # Make sure all the actors are scheduled on the same node. # (why? The placement group has STRICT_PACK strategy). node_id_set = set() - for actor_info in ray._private.state.actors().values(): - if actor_info["State"] == convert_actor_state(gcs_utils.ActorTableData.ALIVE): - node_id = actor_info["Address"]["NodeID"] + for actor_info in ray.util.state.list_actors(detail=True): + if actor_info.state == "ALIVE": + node_id = actor_info.node_id node_id_set.add(node_id) # Since all node id should be identical, set should be equal to 1. @@ -425,9 +433,9 @@ def schedule_nested_actor_outside_pg(self): # It is because the child tasks are not scheduled on the same # placement group. node_id_set = set() - for actor_info in ray._private.state.actors().values(): - if actor_info["State"] == convert_actor_state(gcs_utils.ActorTableData.ALIVE): - node_id = actor_info["Address"]["NodeID"] + for actor_info in ray.util.state.list_actors(detail=True): + if actor_info.state == "ALIVE": + node_id = actor_info.node_id node_id_set.add(node_id) assert len(node_id_set) == 2 @@ -450,9 +458,9 @@ def schedule_nested_actor_outside_pg(self): # It is because the child tasks are not scheduled on the same # placement group. node_id_set = set() - for actor_info in ray._private.state.actors().values(): - if actor_info["State"] == convert_actor_state(gcs_utils.ActorTableData.ALIVE): - node_id = actor_info["Address"]["NodeID"] + for actor_info in ray.util.state.list_actors(detail=True): + if actor_info.state == "ALIVE": + node_id = actor_info.node_id node_id_set.add(node_id) assert len(node_id_set) == 2 diff --git a/python/ray/tests/test_placement_group_3.py b/python/ray/tests/test_placement_group_3.py index a4a199a740d5..cdc9fdad9811 100644 --- a/python/ray/tests/test_placement_group_3.py +++ b/python/ray/tests/test_placement_group_3.py @@ -6,7 +6,6 @@ import pytest import ray -import ray._private.gcs_utils as gcs_utils import ray.cluster_utils import ray.experimental.internal_kv as internal_kv from ray import ObjectRef @@ -16,7 +15,6 @@ DEBUG_AUTOSCALING_STATUS, ) from ray._private.test_utils import ( - convert_actor_state, generate_system_config_map, is_placement_group_removed, kill_actor_and_wait_for_failure, @@ -150,6 +148,15 @@ def is_all_placement_group_removed(): wait_for_condition(is_all_placement_group_removed) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_detached_placement_group(ray_start_cluster): cluster = ray_start_cluster for _ in range(2): @@ -202,10 +209,8 @@ def assert_alive_num_pg(expected_num_pg): def assert_alive_num_actor(expected_num_actor): alive_num_actor = 0 - for actor_info in ray._private.state.actors().values(): - if actor_info["State"] == convert_actor_state( - gcs_utils.ActorTableData.ALIVE - ): + for actor_info in ray.util.state.list_actors(): + if actor_info.state == "ALIVE": alive_num_actor += 1 return alive_num_actor == expected_num_actor diff --git a/python/ray/tests/test_placement_group_5.py b/python/ray/tests/test_placement_group_5.py index 04702b2e7426..a722b15e3400 100644 --- a/python/ray/tests/test_placement_group_5.py +++ b/python/ray/tests/test_placement_group_5.py @@ -21,6 +21,15 @@ from ray.util.state import list_actors, list_placement_groups +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_no_resource(ray_start_cluster): @ray.remote(num_cpus=1) class Actor(object): @@ -96,15 +105,12 @@ def value(self): for actor in chain(first_node, second_node): ray.get(actor.value.remote()) - # Get all actors. - actor_infos = ray._private.state.actors() - first_node_ids = [ - actor_infos.get(actor._actor_id.hex())["Address"]["NodeID"] + ray.util.state.get_actor(id=actor._actor_id.hex()).node_id for actor in first_node ] second_node_ids = [ - actor_infos.get(actor._actor_id.hex())["Address"]["NodeID"] + ray.util.state.get_actor(id=actor._actor_id.hex()).node_id for actor in second_node ] @@ -202,6 +208,15 @@ def check_demands(): @pytest.mark.parametrize("scheduling_strategy", ["SPREAD", "STRICT_SPREAD", "PACK"]) +@pytest.mark.parametrize( + "ray_start_cluster", + [ + { + "include_dashboard": True, + } + ], + indirect=True, +) def test_placement_group_bin_packing_priority(ray_start_cluster, scheduling_strategy): @ray.remote class Actor(object): @@ -255,13 +270,10 @@ def add_nodes_to_cluster(cluster): [ray.get(actor.value.remote()) for actor in actors] # Get all actors. - actor_infos = ray._private.state.actors() + actor_infos = ray.util.state.list_actors(detail=True) # Make sure all actors in counter_list are located in separate nodes. - actor_info_objs = [actor_infos.get(actor._actor_id.hex()) for actor in actors] - assert are_pairwise_unique( - [info_obj["Address"]["NodeID"] for info_obj in actor_info_objs] - ) + assert are_pairwise_unique([info_obj.node_id for info_obj in actor_infos]) def test_placement_group_parallel_submission(ray_start_cluster): diff --git a/python/ray/tests/test_runtime_env_standalone.py b/python/ray/tests/test_runtime_env_standalone.py index 41ba317888d6..56de471cead1 100644 --- a/python/ray/tests/test_runtime_env_standalone.py +++ b/python/ray/tests/test_runtime_env_standalone.py @@ -308,7 +308,7 @@ def test_basic(self, tmp_path, shutdown_only): "pip": [USER_SECRET], "env_vars": {USER_SECRET: USER_SECRET}, } - ray.init(runtime_env=runtime_env) + ray.init(runtime_env=runtime_env, include_dashboard=True) # Run a function to ensure the runtime env is set up. @ray.remote From 6d3290bcfa3016b8fe566b208ac33222ab57a3e2 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Thu, 25 Sep 2025 15:19:10 -0700 Subject: [PATCH 1409/1566] [core] (cgroups 13/n) Deleting old cgroups implementation (#56909) This PR stacks on #56549. For more details about the resource isolation project see https://github.com/ray-project/ray/issues/54703. This PR deletes the old cgroup code inside `/src/ray/common/cgroup` along with all associated comments. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- python/ray/scripts/scripts.py | 3 - src/ray/common/cgroup/BUILD.bazel | 85 ---- src/ray/common/cgroup/README.md | 62 --- src/ray/common/cgroup/base_cgroup_setup.h | 65 ---- src/ray/common/cgroup/cgroup_context.h | 39 -- src/ray/common/cgroup/cgroup_manager.cc | 32 -- src/ray/common/cgroup/cgroup_manager.h | 26 -- src/ray/common/cgroup/cgroup_setup.cc | 368 ------------------ src/ray/common/cgroup/cgroup_setup.h | 117 ------ src/ray/common/cgroup/cgroup_utils.cc | 92 ----- src/ray/common/cgroup/cgroup_utils.h | 31 -- src/ray/common/cgroup/constants.h | 50 --- src/ray/common/cgroup/fake_cgroup_setup.cc | 71 ---- src/ray/common/cgroup/fake_cgroup_setup.h | 75 ---- src/ray/common/cgroup/scoped_cgroup_handle.h | 45 --- src/ray/common/cgroup/tests/BUILD.bazel | 80 ---- .../common/cgroup/tests/cgroup_test_utils.cc | 43 -- .../common/cgroup/tests/cgroup_test_utils.h | 28 -- .../cgroup/tests/cgroup_v2_setup_test.cc | 144 ------- .../tests/cgroup_v2_utils_privileged_test.cc | 53 --- .../cgroup_v2_utils_unprivileged_test.cc | 41 -- .../cgroup/tests/fake_cgroup_setup_test.cc | 75 ---- src/ray/core_worker/BUILD.bazel | 3 - src/ray/core_worker/core_worker.cc | 3 - src/ray/core_worker/core_worker_process.cc | 3 - 25 files changed, 1634 deletions(-) delete mode 100644 src/ray/common/cgroup/BUILD.bazel delete mode 100644 src/ray/common/cgroup/README.md delete mode 100644 src/ray/common/cgroup/base_cgroup_setup.h delete mode 100644 src/ray/common/cgroup/cgroup_context.h delete mode 100644 src/ray/common/cgroup/cgroup_manager.cc delete mode 100644 src/ray/common/cgroup/cgroup_manager.h delete mode 100644 src/ray/common/cgroup/cgroup_setup.cc delete mode 100644 src/ray/common/cgroup/cgroup_setup.h delete mode 100644 src/ray/common/cgroup/cgroup_utils.cc delete mode 100644 src/ray/common/cgroup/cgroup_utils.h delete mode 100644 src/ray/common/cgroup/constants.h delete mode 100644 src/ray/common/cgroup/fake_cgroup_setup.cc delete mode 100644 src/ray/common/cgroup/fake_cgroup_setup.h delete mode 100644 src/ray/common/cgroup/scoped_cgroup_handle.h delete mode 100644 src/ray/common/cgroup/tests/BUILD.bazel delete mode 100644 src/ray/common/cgroup/tests/cgroup_test_utils.cc delete mode 100644 src/ray/common/cgroup/tests/cgroup_test_utils.h delete mode 100644 src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc delete mode 100644 src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc delete mode 100644 src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc delete mode 100644 src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc diff --git a/python/ray/scripts/scripts.py b/python/ray/scripts/scripts.py index e0d6a69d4c88..3c1dffe3b8f9 100644 --- a/python/ray/scripts/scripts.py +++ b/python/ray/scripts/scripts.py @@ -1099,9 +1099,6 @@ def start( ) temp_dir = node.get_temp_dir_path() - # TODO(hjiang): Validate whether specified resource is true for physical - # resource. - # Ray and Python versions should probably be checked before # initializing Node. node.check_version_info() diff --git a/src/ray/common/cgroup/BUILD.bazel b/src/ray/common/cgroup/BUILD.bazel deleted file mode 100644 index 1487689d8985..000000000000 --- a/src/ray/common/cgroup/BUILD.bazel +++ /dev/null @@ -1,85 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library") - -ray_cc_library( - name = "constants", - hdrs = ["constants.h"], -) - -ray_cc_library( - name = "cgroup_setup", - srcs = ["cgroup_setup.cc"], - hdrs = ["cgroup_setup.h"], - deps = [ - ":base_cgroup_setup", - ":cgroup_utils", - ":constants", - "//src/ray/common:macros", - "//src/ray/util:filesystem", - "//src/ray/util:invoke_once_token", - "//src/ray/util:logging", - "//src/ray/util:path_utils", - "@com_google_absl//absl/strings:str_format", - ], -) - -ray_cc_library( - name = "cgroup_context", - hdrs = ["cgroup_context.h"], - deps = [ - ":constants", - "//src/ray/util:compat", - ], -) - -ray_cc_library( - name = "scoped_cgroup_handle", - hdrs = ["scoped_cgroup_handle.h"], -) - -ray_cc_library( - name = "base_cgroup_setup", - hdrs = ["base_cgroup_setup.h"], - deps = [ - ":cgroup_context", - ":scoped_cgroup_handle", - ], -) - -ray_cc_library( - name = "cgroup_manager", - srcs = ["cgroup_manager.cc"], - hdrs = ["cgroup_manager.h"], - deps = [ - ":base_cgroup_setup", - ], -) - -ray_cc_library( - name = "fake_cgroup_setup", - testonly = True, - srcs = ["fake_cgroup_setup.cc"], - hdrs = ["fake_cgroup_setup.h"], - deps = [ - ":base_cgroup_setup", - "//src/ray/common:status", - "//src/ray/util:logging", - "//src/ray/util:process", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/container:flat_hash_set", - "@com_google_absl//absl/synchronization", - ], -) - -ray_cc_library( - name = "cgroup_utils", - srcs = ["cgroup_utils.cc"], - hdrs = ["cgroup_utils.h"], - deps = [ - ":constants", - "//src/ray/common:status", - "//src/ray/util:logging", - "//src/ray/util:path_utils", - "@com_google_absl//absl/strings:str_format", - "@com_google_googletest//:gtest_prod", - ], -) diff --git a/src/ray/common/cgroup/README.md b/src/ray/common/cgroup/README.md deleted file mode 100644 index 1f4fff586508..000000000000 --- a/src/ray/common/cgroup/README.md +++ /dev/null @@ -1,62 +0,0 @@ -## Ray core cgroup documentation - -### Physical execution mode - -Ray core supports a physical execution mode, which allows users to cap resource consumption for their applications. - -A few benefits: -- If physical execution mode is enabled, Ray uses cgroup to restrict resource usage, so other processes running on the same machine (i.e. system processes like raylet and GCS) won't get starved or even killed. Now we only support using `memory` as cgroup `memory.max` to cap a task process (and all its subprocesses recursively)'s max memory usage. For example, -```python -@ray.remote(memory=500 * 1024 * 1024) -def some_function(x): - pass - -obj = some_function.remote() -``` -This function is limited by 500MiB memory usage, and if it tries to use more, it OOMs and fails. - + User can set the limit to any number at node start; if not, ray will take a heuristric estimation on all application processes (i.e. 80% of the total logical resource). This is implemented by setting a max value on `/sys/fs/cgroup/ray_node_/application` node (see chart below). - -TODO(hjiang): reserve minimum resource will be supported in the future. - -### Prerequisites - -- Ray runs in a Linux environment that supports Cgroup V2. -- The cgroup2 filesystem is mounted at `/sys/fs/cgroup`. -- Raylet has write permission to that mounted directory. -- If any of the prerequisites unsatisfied, when physical mode enabled, ray logs error and continue running. - -### Disclaimer - -- At the initial version, ray caps max resource usage via heuristric estimation (TODO: support user passed-in value). - -### Implementation details - -#### Cgroup hierarchy - -cgroup v2 folders are created in tree structure as follows - -``` - /sys/fs/cgroup/ray_node_ - / \ -.../internal .../application - / \ - .../default .../_ (*N) -``` - -- Each ray node having their own cgroup folder, which contains the node id to differentiate with other raylet(s); in detail, raylet is responsible to create cgroup folder `/sys/fs/cgroup/ray_node_`, `/sys/fs/cgroup/ray_node_/internal` and `/sys/fs/cgroup/ray_node_/application` at startup, and cleans up the folder upon process exit; -- `/sys/fs/cgroup/ray_node_/application` is where ray sets overall max resource for all application processes - + The max resource respects users' input on node start, or a heuristic value 80% of all logical resource will be taken -- If a task / actor execute with their max resource specified, they will be placed in a dedicated cgroup, identified by the task id and attempt id; the cgroup path is `/sys/fs/cgroup/ray_node_/application/_` - + Task id is a string which uniquely identifies a task - + Attempt id is a monotonically increasing integer, which is used to different executions for the same task and indicates their order -- Otherwise they will be placed under default application cgroup, having their max consumption bound by `/sys/fs/cgroup/ray_node_/application` - -TODO(hjiang): Add more details on attempt id. For example, whether it's raylet-wise or task-wise. - -#### Cgroup lifecycle - -A cgroup's lifecycle is bound by a task / actor attempt. -Before execution, the worker PID is placed into the cgroup; -after its completion, the idle worker is put back to worker pool and reused later, with its PID moved back to the default cgroup, and cgroup destructed if any. - -TODO(hjiang): Add discussion on how to deal with situations when task finishes, while some of the processes don't finish. diff --git a/src/ray/common/cgroup/base_cgroup_setup.h b/src/ray/common/cgroup/base_cgroup_setup.h deleted file mode 100644 index f8fe32524165..000000000000 --- a/src/ray/common/cgroup/base_cgroup_setup.h +++ /dev/null @@ -1,65 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Interface to setup and cleanup node-wise cgroup folder, which is managed by raylet. -// -// It defines a few interfaces to manage cgroup: -// 1. Setup node-wise cgroup folder, and ray system cgroup and application to hold -// ray system components and user application processes. -// 2. Configure cgroup to enable new processes added into cgroup and control on resource -// (i.e. memory). -// 2. Remove ray system component and user application processes out of cgroup managed -// processes. -// 3. Take a cgroup context and add the it into the corresponding cgroup, and return a -// scoped cgroup resource handled for later cleanup. - -#pragma once - -#include - -#include "ray/common/cgroup/cgroup_context.h" -#include "ray/common/cgroup/scoped_cgroup_handle.h" - -namespace ray { - -class BaseCgroupSetup { - public: - BaseCgroupSetup() = default; - virtual ~BaseCgroupSetup() = default; - - BaseCgroupSetup(const BaseCgroupSetup &) = delete; - BaseCgroupSetup &operator=(const BaseCgroupSetup &) = delete; - - // Add system process into system cgroup. - virtual Status AddSystemProcess(pid_t pid) = 0; - - // Apply cgroup context, which adds the process id into the corresponding cgroup. - virtual ScopedCgroupHandler ApplyCgroupContext(const AppProcCgroupMetadata &ctx) = 0; -}; - -// A noop cgroup setup class, which does nothing. Used when physical mode is not enabled, -// or fails to enable due to insufficient permission. -class NoopCgroupSetup : public BaseCgroupSetup { - public: - NoopCgroupSetup() = default; - ~NoopCgroupSetup() override = default; - - Status AddSystemProcess(pid_t pid) override { return Status::OK(); } - - ScopedCgroupHandler ApplyCgroupContext(const AppProcCgroupMetadata &ctx) override { - return {}; - } -}; - -} // namespace ray diff --git a/src/ray/common/cgroup/cgroup_context.h b/src/ray/common/cgroup/cgroup_context.h deleted file mode 100644 index ebef5f1de568..000000000000 --- a/src/ray/common/cgroup/cgroup_context.h +++ /dev/null @@ -1,39 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include -#include - -#include "ray/common/cgroup/constants.h" -#include "ray/util/compat.h" - -namespace ray { - -// Context used to setup cgroupv2 for a task / actor. -struct AppProcCgroupMetadata { - // A unique id to uniquely identity a certain task / actor attempt. - std::string id; - // PID for the process. - pid_t pid; - - // Memory-related spec. - // - // Unit: bytes. Corresponds to cgroup V2 `memory.max`, which enforces hard cap on max - // memory consumption. 0 means no limit. - uint64_t max_memory = 0; -}; - -} // namespace ray diff --git a/src/ray/common/cgroup/cgroup_manager.cc b/src/ray/common/cgroup/cgroup_manager.cc deleted file mode 100644 index 8305f7195fa1..000000000000 --- a/src/ray/common/cgroup/cgroup_manager.cc +++ /dev/null @@ -1,32 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/cgroup_manager.h" - -namespace ray { - -// Here the possible types of cgroup setup classes are small, so we use if-else branch -// instead of registry pattern. -BaseCgroupSetup &GetCgroupSetup(bool enable_resource_isolation) { - if (enable_resource_isolation) { - // TODO(hjiang): Enable real cgroup setup after PR: - // https://github.com/ray-project/ray/pull/49941 - static NoopCgroupSetup noop_cgroup_setup{}; - return noop_cgroup_setup; - } - static NoopCgroupSetup noop_cgroup_setup{}; - return noop_cgroup_setup; -} - -} // namespace ray diff --git a/src/ray/common/cgroup/cgroup_manager.h b/src/ray/common/cgroup/cgroup_manager.h deleted file mode 100644 index 7edbcca2f6df..000000000000 --- a/src/ray/common/cgroup/cgroup_manager.h +++ /dev/null @@ -1,26 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include "ray/common/cgroup/base_cgroup_setup.h" - -namespace ray { - -// A util function which gets cgroup setup. -BaseCgroupSetup &GetCgroupSetup(bool enable_resource_isolation); - -} // namespace ray diff --git a/src/ray/common/cgroup/cgroup_setup.cc b/src/ray/common/cgroup/cgroup_setup.cc deleted file mode 100644 index 5a3903768b7f..000000000000 --- a/src/ray/common/cgroup/cgroup_setup.cc +++ /dev/null @@ -1,368 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/cgroup_setup.h" - -#include - -#ifndef __linux__ -namespace ray { -CgroupSetup::CgroupSetup(const std::string &directory, const std::string &node_id) { - RAY_CHECK(false) << "cgroupv2 doesn't work on non linux platform."; - RAY_UNUSED(root_cgroup_procs_filepath_); - RAY_UNUSED(root_cgroup_subtree_control_filepath_); - RAY_UNUSED(cgroup_v2_app_folder_); - RAY_UNUSED(cgroup_v2_default_app_folder_); - RAY_UNUSED(cgroup_v2_default_app_proc_filepath_); - RAY_UNUSED(cgroup_v2_system_folder_); - RAY_UNUSED(cgroup_v2_system_proc_filepath_); - RAY_UNUSED(node_cgroup_v2_folder_); -} -CgroupSetup::CgroupSetup(const std::string &directory, - const std::string &node_id, - TestTag) { - RAY_CHECK(false) << "cgroupv2 doesn't work on non linux platform."; -} -CgroupSetup::~CgroupSetup() {} -Status CgroupSetup::InitializeCgroupV2Directory(const std::string &directory, - const std::string &node_id) { - return Status::OK(); -} -ScopedCgroupHandler CgroupSetup::ApplyCgroupForDefaultAppCgroup( - const AppProcCgroupMetadata &ctx) { - return {}; -} -Status CgroupSetup::AddSystemProcess(pid_t pid) { return Status::OK(); } -ScopedCgroupHandler CgroupSetup::ApplyCgroupContext(const AppProcCgroupMetadata &ctx) { - return {}; -} -Status CgroupSetup::CleanupCgroups() { return Status::OK(); } -namespace internal { -Status CheckCgroupV2MountedRW(const std::string &directory) { - return Status::Invalid("cgroupv2 operations only support linux platform."); -} -} // namespace internal -} // namespace ray -#else // __linux__ - -#include -#include -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include "absl/strings/str_format.h" -#include "absl/strings/str_split.h" -#include "absl/strings/strip.h" -#include "ray/common/cgroup/cgroup_utils.h" -#include "ray/common/cgroup/constants.h" -#include "ray/common/macros.h" -#include "ray/util/filesystem.h" -#include "ray/util/invoke_once_token.h" -#include "ray/util/logging.h" -#include "ray/util/path_utils.h" - -namespace ray { - -namespace { - -#if defined(RAY_SCHECK_OK_CGROUP) -#error "RAY_SCHECK_OK_CGROUP is already defined." -#else -#define __RAY_SCHECK_OK_CGROUP(expr, boolname) \ - auto boolname = (expr); \ - if (!boolname) return Status(StatusCode::Invalid, /*msg=*/"", RAY_LOC()) - -// Invoke the given [expr] which returns a boolean convertible type; and return error -// status if Failed. Cgroup operations on filesystem are not expected to fail after -// precondition checked, so we use INVALID as the status code. -// -// Example usage: -// RAY_SCHECK_OK_CGROUP(DoSomething()) << "DoSomething Failed"; -#define RAY_SCHECK_OK_CGROUP(expr) \ - __RAY_SCHECK_OK_CGROUP(expr, RAY_UNIQUE_VARIABLE(cgroup_op)) -#endif - -Status MoveProcsBetweenCgroups(const std::string &from, const std::string &to) { - std::ifstream in_file(from.data()); - RAY_SCHECK_OK_CGROUP(in_file.good()) << "Failed to open cgroup file " << from; - std::ofstream out_file(to.data(), std::ios::app | std::ios::out); - RAY_SCHECK_OK_CGROUP(out_file.good()) << "Failed to open cgroup file " << to; - - pid_t pid = 0; - while (in_file >> pid) { - out_file << pid; - } - RAY_SCHECK_OK_CGROUP(out_file.good()) << "Failed to flush cgroup file " << to; - - return Status::OK(); -} - -// Enables controllers for a cgroup, and returns whether cgroup control writes -// successfully. -// -// Note: enabling controllers in a subcgroup requires that its parent cgroup -// also has those controllers enabled. -Status EnableCgroupSubtreeControl(const std::string &subtree_control_path) { - std::ofstream out_file(subtree_control_path, std::ios::app | std::ios::out); - RAY_SCHECK_OK_CGROUP(out_file.good()) - << "Failed to open cgroup file " << subtree_control_path; - - out_file << "+memory"; - RAY_SCHECK_OK_CGROUP(out_file.good()) - << "Failed to write to cgroup file " << subtree_control_path; - - out_file << "+cpu"; - RAY_SCHECK_OK_CGROUP(out_file.good()) - << "Failed to write to cgroup file " << subtree_control_path; - - return Status::OK(); -} - -// Checks to see if the given cgroup directory is mounted as the root cgroup. -// The cgroup.type file only exists in non-root cgroups in cgroupv2. -// -// \returns true for bare metal/virtual machines and false for containers (since the -// cgroup within -// container is a subcgroup in the host cgroup hierarchy). -StatusOr IsRootCgroup(const std::string &directory) { - const std::string cgroup_type_filepath = ray::JoinPaths(directory, kCgroupTypeFilename); - std::error_code err_code; - bool exists = std::filesystem::exists(cgroup_type_filepath, err_code); - RAY_SCHECK_OK_CGROUP(err_code.value() == 0) - << "Failed to check file " << cgroup_type_filepath << " exists because of " - << err_code.message(); - return !exists; -} - -} // namespace - -namespace internal { - -Status CheckCgroupV2MountedRW(const std::string &path) { - struct statfs fs_stats; - if (statfs(path.data(), &fs_stats) != 0) { - return Status::InvalidArgument("") - << "Failed to stat file " << path << " because " << strerror(errno); - } - if (fs_stats.f_type != CGROUP2_SUPER_MAGIC) { - return Status::InvalidArgument("") - << "File " << path << " is not of type cgroupv2, which is " - << static_cast(fs_stats.f_type); - } - - // Check whether cgroupv2 is mounted in rw mode. - struct statvfs vfs_stats; - if (statvfs(path.data(), &vfs_stats) != 0) { - return Status::InvalidArgument("") - << "Failed to stat filesystem for " << path << " because " << strerror(errno); - } - // There're only two possible modes, either rw mode or read-only mode. - if ((vfs_stats.f_flag & ST_RDONLY) != 0) { - return Status::InvalidArgument("") - << "Filesystem indicated by " << path << " doesn't have write permission."; - } - - return Status::OK(); -} - -Status CheckBaseCgroupSubtreeController(const std::string &directory) { - const auto subtree_control_path = ray::JoinPaths(directory, kSubtreeControlFilename); - std::ifstream in_file(subtree_control_path, std::ios::app | std::ios::out); - RAY_SCHECK_OK_CGROUP(in_file.good()) - << "Failed to open cgroup file " << subtree_control_path; - - std::string content((std::istreambuf_iterator(in_file)), - std::istreambuf_iterator()); - std::string_view content_sv{content}; - absl::ConsumeSuffix(&content_sv, "\n"); - - const std::vector enabled_subtree_controllers = - absl::StrSplit(content_sv, ' '); - for (const auto &cur_controller : kRequiredControllers) { - if (std::find(enabled_subtree_controllers.begin(), - enabled_subtree_controllers.end(), - cur_controller) != enabled_subtree_controllers.end()) { - return Status(StatusCode::Invalid, /*msg=*/"", RAY_LOC()) - << "Base cgroup " << directory << " doesn't enable " << cur_controller - << " controller for subtree." - << " Check to see if the parent of " << directory << " has the " - << cur_controller << " controller enabled."; - } - } - - return Status::OK(); -} - -// Use unix syscall `mkdir` instead of STL filesystem library because the former provides -// (1) ability to specify permission; (2) better error code and message. -Status MakeDirectory(const std::string &directory) { - int ret_code = mkdir(directory.data(), kReadWritePerm); - if (ret_code != 0 && errno != EEXIST) { - RAY_SCHECK_OK_CGROUP(false) - << "Failed to make directory for " << directory << " because " << strerror(errno); - } - return Status::OK(); -} - -} // namespace internal - -CgroupSetup::CgroupSetup(const std::string &directory, const std::string &node_id) { - static InvokeOnceToken token; - token.CheckInvokeOnce(); - RAY_CHECK_OK(InitializeCgroupV2Directory(directory, node_id)); -} - -CgroupSetup::CgroupSetup(const std::string &directory, - const std::string &node_id, - TestTag) { - RAY_CHECK_OK(InitializeCgroupV2Directory(directory, node_id)); -} - -Status CgroupSetup::InitializeCgroupV2Directory(const std::string &directory, - const std::string &node_id) { - // Check cgroup accessibility before setup. - RAY_RETURN_NOT_OK(internal::CheckCgroupV2MountedRW(directory)); - - // Check cgroup subtree control before setup. - if (Status s = internal::CheckBaseCgroupSubtreeController(directory); !s.ok()) { - return s; - } - - // Cgroup folders for the current ray node. - node_cgroup_v2_folder_ = - ray::JoinPaths(directory, absl::StrFormat("ray_node_%s", node_id)); - root_cgroup_procs_filepath_ = ray::JoinPaths(directory, kProcFilename); - root_cgroup_subtree_control_filepath_ = - ray::JoinPaths(node_cgroup_v2_folder_, kSubtreeControlFilename); - cgroup_v2_app_folder_ = ray::JoinPaths(node_cgroup_v2_folder_, "ray_application"); - cgroup_v2_default_app_folder_ = ray::JoinPaths(cgroup_v2_app_folder_, "default"); - cgroup_v2_default_app_proc_filepath_ = - ray::JoinPaths(cgroup_v2_default_app_folder_, kProcFilename); - cgroup_v2_system_folder_ = ray::JoinPaths(node_cgroup_v2_folder_, "system"); - cgroup_v2_system_proc_filepath_ = - ray::JoinPaths(cgroup_v2_system_folder_, kProcFilename); - const std::string cgroup_v2_app_subtree_control = - ray::JoinPaths(cgroup_v2_app_folder_, kSubtreeControlFilename); - const std::string cgroup_v2_system_procs = - ray::JoinPaths(cgroup_v2_system_folder_, kProcFilename); - - // Create subcgroup for current node. - RAY_RETURN_NOT_OK(internal::MakeDirectory(node_cgroup_v2_folder_)); - - // Create the system cgroup. - RAY_RETURN_NOT_OK(internal::MakeDirectory(cgroup_v2_system_folder_)); - - // Setup application cgroup. - // TODO(hjiang): For milestone-2 per-task-based reservation and limitation, we need to - // add subtree control to subcgroup as well, not needed for milestone-1. - RAY_RETURN_NOT_OK(internal::MakeDirectory(cgroup_v2_app_folder_)); - RAY_RETURN_NOT_OK(internal::MakeDirectory(cgroup_v2_default_app_folder_)); - - // If the given cgroup is not root cgroup (i.e. container environment), we need to move - // all processes (including operating system processes) into system cgroup, because - // only leaf cgroups can contain processes for cgroupv2. Otherwise we only move known - // ray processes into system cgroup. - RAY_ASSIGN_OR_RETURN(const bool is_root_cgroup, IsRootCgroup(directory)); - if (!is_root_cgroup) { - RAY_RETURN_NOT_OK(MoveProcsBetweenCgroups(/*from=*/root_cgroup_procs_filepath_, - /*to=*/cgroup_v2_system_proc_filepath_)); - } - - RAY_RETURN_NOT_OK(EnableCgroupSubtreeControl(root_cgroup_subtree_control_filepath_)); - return Status::OK(); -} - -CgroupSetup::~CgroupSetup() { RAY_CHECK_OK(CleanupCgroups()); } - -Status CgroupSetup::CleanupCgroups() { - // Kill all dangling processes. - RAY_RETURN_NOT_OK(KillAllProcAndWait(cgroup_v2_app_folder_)); - - // Move all internal processes into root cgroup and delete system cgroup. - RAY_RETURN_NOT_OK(MoveProcsBetweenCgroups(/*from=*/cgroup_v2_system_folder_, - /*to=*/root_cgroup_procs_filepath_)); - - // Cleanup all ray application cgroup folders. - std::error_code err_code; - for (const auto &dentry : - std::filesystem::directory_iterator(cgroup_v2_app_folder_, err_code)) { - RAY_SCHECK_OK_CGROUP(err_code.value() == 0) - << "Failed to iterate through directory " << cgroup_v2_app_folder_ << " because " - << err_code.message(); - if (!dentry.is_directory()) { - continue; - } - RAY_SCHECK_OK_CGROUP(std::filesystem::remove(dentry, err_code)) - << "Failed to delete application cgroup folder " << dentry.path().string() - << " because " << err_code.message(); - } - - RAY_SCHECK_OK_CGROUP(std::filesystem::remove(cgroup_v2_app_folder_, err_code)) - << "Failed to delete application cgroup folder " << cgroup_v2_app_folder_ - << " because " << err_code.message(); - - return Status::OK(); -} - -Status CgroupSetup::AddSystemProcess(pid_t pid) { - std::ofstream out_file(cgroup_v2_system_proc_filepath_, std::ios::app | std::ios::out); - RAY_SCHECK_OK_CGROUP(out_file.good()) - << "Failed to open file " << cgroup_v2_system_proc_filepath_; - - out_file << pid; - RAY_SCHECK_OK_CGROUP(out_file.good()) - << "Failed to add " << pid << " into cgroup process file " - << cgroup_v2_system_proc_filepath_; - return Status::OK(); -} - -ScopedCgroupHandler CgroupSetup::ApplyCgroupForDefaultAppCgroup( - const AppProcCgroupMetadata &ctx) { - RAY_CHECK_EQ(ctx.max_memory, static_cast(kUnlimitedCgroupMemory)) - << "Ray doesn't support per-task resource constraint."; - - std::ofstream out_file(cgroup_v2_default_app_proc_filepath_, - std::ios::app | std::ios::out); - out_file << ctx.pid; - RAY_CHECK(out_file.good()) << "Failed to add process " << ctx.pid << " with max memory " - << ctx.max_memory << " into cgroup folder"; - - // Default cgroup folder's lifecycle is the same as node-level's cgroup folder, we don't - // need to clean it up after one process terminates. - return ScopedCgroupHandler{}; -} - -ScopedCgroupHandler CgroupSetup::ApplyCgroupContext(const AppProcCgroupMetadata &ctx) { - // For milestone-1, there's no request and limit set for each task. - RAY_CHECK_EQ(ctx.max_memory, static_cast(0)); - return ApplyCgroupForDefaultAppCgroup(ctx); -} - -} // namespace ray - -#endif // __linux__ diff --git a/src/ray/common/cgroup/cgroup_setup.h b/src/ray/common/cgroup/cgroup_setup.h deleted file mode 100644 index 60776a66c105..000000000000 --- a/src/ray/common/cgroup/cgroup_setup.h +++ /dev/null @@ -1,117 +0,0 @@ -// Copyright 2024 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. -// -// TODO(hjiang): Set resource reservation for system cgroup. - -#pragma once - -#include - -#include - -#include "ray/common/cgroup/base_cgroup_setup.h" -#include "ray/common/status.h" - -namespace ray { - -namespace internal { - -// Checks whether cgroupv2 is properly mounted for read-write operations in the given -// [directory]. Also checks that cgroupv1 is not mounted. -// If not, InvalidArgument status is returned. -// -// This function is exposed in header file for unit test purpose. -// -// \param directory: user provided mounted cgroupv2 directory. -Status CheckCgroupV2MountedRW(const std::string &directory); - -// Checks whether root cgroupv2 (whether it's at host machine or inside of container) has -// enabled memory and cpu subtree controller. -// -// \param directory: user provided mounted cgroupv2 directory. -Status CheckBaseCgroupSubtreeController(const std::string &directory); - -} // namespace internal - -class CgroupSetup : public BaseCgroupSetup { - public: - // This class sets up resource isolation using cgroupv2. It reserves resources on each - // ray node for system processes on linux. It is expected to work in containers, virtual - // machines, and bare metal machines. It is expected to be used by the raylet. - - // Creates a cgroup hierarchy under the specified directory. - // See https://github.com/ray-project/ray/blob/master/src/ray/common/cgroup/README.md - // for more details about the cgroup hierarchy. If there is an error, it will be logged - // and the process will exit. NOTE: This constructor is expected to be called only once - // per raylet instance - // - // TODO(hjiang): Implement support for VM/BM. Currently only docker is supported. - CgroupSetup(const std::string &directory, const std::string &node_id); - - // On destruction, all processes (including spawned child processes) in the managed - // cgroup will be killed recursively via SIGKILL. - ~CgroupSetup() override; - - // Add the specified process into the system cgroup. - Status AddSystemProcess(pid_t pid) override; - - ScopedCgroupHandler ApplyCgroupContext(const AppProcCgroupMetadata &ctx) override; - - private: - struct TestTag {}; - // Constructor made for unit tests, which allows [CgroupSetup] to be created for - // multiple times in a process. - CgroupSetup(const std::string &directory, const std::string &node_id, TestTag); - - FRIEND_TEST(Cgroupv2SetupTest, SetupTest); - FRIEND_TEST(Cgroupv2SetupTest, AddSystemProcessTest); - FRIEND_TEST(Cgroupv2SetupTest, AddAppProcessTest); - - // Setup cgroup folders for the given [node_id]. - Status InitializeCgroupV2Directory(const std::string &directory, - const std::string &node_id); - - // Cleans up cgroup after the raylet exits by killing all dangling processes and - // deleting the node cgroup. - // - // NOTE: This function is expected to be called once for each raylet instance at its - // termination. - Status CleanupCgroups(); - - // Apply cgroup context which addes pid into default cgroup folder. - // - // TODO(hjiang): As of now there's a bug for returning StatusOr<> at windows, switch - // after the issue resolved. - // Link: https://github.com/ray-project/ray/pull/50761 - ScopedCgroupHandler ApplyCgroupForDefaultAppCgroup(const AppProcCgroupMetadata &ctx); - - // File path of PIDs for root cgroup. - std::string root_cgroup_procs_filepath_; - // File path for subtree control for root cgroup. - std::string root_cgroup_subtree_control_filepath_; - // Folder for cgroup v2 application processes of the current raylet instance. - std::string cgroup_v2_app_folder_; - // Folder for cgroup v2 default application cgroup of the current raylet instance. - std::string cgroup_v2_default_app_folder_; - // Process id file for default application cgroup. - std::string cgroup_v2_default_app_proc_filepath_; - // Folder for cgroup v2 internal processes of the current raylet instance. - std::string cgroup_v2_system_folder_; - // File path for cgroup v2 internal process pids. - std::string cgroup_v2_system_proc_filepath_; - // Cgroup folder for the current ray node. - std::string node_cgroup_v2_folder_; -}; - -} // namespace ray diff --git a/src/ray/common/cgroup/cgroup_utils.cc b/src/ray/common/cgroup/cgroup_utils.cc deleted file mode 100644 index cef2ff169742..000000000000 --- a/src/ray/common/cgroup/cgroup_utils.cc +++ /dev/null @@ -1,92 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/cgroup_utils.h" - -#ifndef __linux__ -namespace ray { -Status KillAllProcAndWait(const std::string &cgroup_folder) { return Status::OK(); } -} // namespace ray -#else - -#include - -#include -#include -#include -#include - -#include "absl/strings/numbers.h" -#include "absl/strings/str_format.h" -#include "ray/common/cgroup/constants.h" -#include "ray/util/logging.h" -#include "ray/util/path_utils.h" - -namespace ray { - -namespace { - -void GetAllPidsForCgroup(const std::string &cgroup_directory, std::vector *pids) { - std::ifstream cgroup_proc_file(ray::JoinPaths(cgroup_directory, kProcFilename)); - RAY_CHECK(cgroup_proc_file.good()); // Sanity check. - - std::string pid_str; - while (std::getline(cgroup_proc_file, pid_str)) { - pid_t cur_pid = 0; - RAY_CHECK(absl::SimpleAtoi(pid_str, &cur_pid)); // Sanity check. - pids->emplace_back(cur_pid); - } -} - -std::vector GetAllPidsForCgroup(const std::string &cgroup_directory) { - std::vector pids; - for (const auto &entry : - std::filesystem::recursive_directory_iterator(cgroup_directory)) { - if (std::filesystem::is_directory(entry)) { - GetAllPidsForCgroup(entry.path(), &pids); - } - } - return pids; -} - -// Waits until all provided processes exit. -void BlockWaitProcExit(const std::vector &pids) { - for (pid_t cur_pid : pids) { - // Intentionally ignore return value. - waitpid(cur_pid, /*status=*/nullptr, /*options=*/0); - } -} - -} // namespace - -Status KillAllProcAndWait(const std::string &cgroup_folder) { - const auto existing_pids = GetAllPidsForCgroup(cgroup_folder); - - // Writing "1" to `cgroup.kill` file recursively kills all processes inside. - const std::string kill_proc_file = ray::JoinPaths(cgroup_folder, kProcKillFilename); - std::ofstream f{kill_proc_file, std::ios::app | std::ios::out}; - f << "1"; - f.flush(); - if (!f.good()) { - return Status(StatusCode::Invalid, /*msg=*/"", RAY_LOC()) - << "Failed to kill all processes under the cgroup " << cgroup_folder; - } - - BlockWaitProcExit(existing_pids); - return Status::OK(); -} - -} // namespace ray - -#endif // __linux__ diff --git a/src/ray/common/cgroup/cgroup_utils.h b/src/ray/common/cgroup/cgroup_utils.h deleted file mode 100644 index 7e5d86ea7430..000000000000 --- a/src/ray/common/cgroup/cgroup_utils.h +++ /dev/null @@ -1,31 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Util functions for cgroup related operations. - -#pragma once - -#include - -#include "ray/common/status.h" - -namespace ray { - -// Kill all processes under the given [cgroup_folder] and wait for all processes -// termination synchronously. -// -// \param cgroup_folder: cgroup folder which contains processes to kill. -Status KillAllProcAndWait(const std::string &cgroup_folder); - -} // namespace ray diff --git a/src/ray/common/cgroup/constants.h b/src/ray/common/cgroup/constants.h deleted file mode 100644 index b760c8e2897a..000000000000 --- a/src/ray/common/cgroup/constants.h +++ /dev/null @@ -1,50 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// This file defines a few common constants for cgroup usage. - -#pragma once - -#include -#include -#include - -#ifdef __linux__ -#include -#endif // __linux__ - -namespace ray { - -// A constant made for cgroup usage, which indicates no memory constraint. -inline constexpr uint64_t kUnlimitedMemory = 0; -// Required cgroupv2 controllers for ray resource isolation. -inline constexpr std::array kRequiredControllers = {"memory", "cpu"}; -inline constexpr uint64_t kUnlimitedCgroupMemory = 0; -// Default cgroup directory. -inline constexpr std::string_view kCgroupDirectory = "/sys/fs/cgroup"; -// Process filename within a cgroup. -inline constexpr std::string_view kProcFilename = "cgroup.procs"; -// Filename within cgroup, writing to which is used to kill all processes inside. -inline constexpr std::string_view kProcKillFilename = "cgroup.kill"; -// Subtree controller filename within a cgroup, which contains enabled controllers for -// children cgroups. -inline constexpr std::string_view kSubtreeControlFilename = "cgroup.subtree_control"; -// Cgroup type filename. -inline constexpr std::string_view kCgroupTypeFilename = "cgroup.type"; -// Owner can read and write. -#ifdef __linux__ -inline constexpr mode_t kReadWritePerm = S_IRUSR | S_IWUSR; -#endif // __linux__ - -} // namespace ray diff --git a/src/ray/common/cgroup/fake_cgroup_setup.cc b/src/ray/common/cgroup/fake_cgroup_setup.cc deleted file mode 100644 index da47bdcfca6f..000000000000 --- a/src/ray/common/cgroup/fake_cgroup_setup.cc +++ /dev/null @@ -1,71 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/fake_cgroup_setup.h" - -#include - -#include "ray/util/logging.h" - -namespace ray { - -Status FakeCgroupSetup::AddSystemProcess(pid_t pid) { - absl::MutexLock lock(&mtx_); - const bool is_new = system_cgroup_.emplace(pid).second; - if (!is_new) { - return Status::InvalidArgument("") - << "Failed to add " << pid << " into system cgroup."; - } - return Status::OK(); -} - -ScopedCgroupHandler FakeCgroupSetup::ApplyCgroupContext( - const AppProcCgroupMetadata &ctx) { - absl::MutexLock lock(&mtx_); - CgroupFolder cgroup_folder; - cgroup_folder.max_memory_bytes = ctx.max_memory; - const auto [_, is_new] = cgroup_to_pids_[std::move(cgroup_folder)].emplace(ctx.pid); - RAY_CHECK(is_new); - return ScopedCgroupHandler{[this, ctx = ctx]() { CleanupCgroupContext(ctx); }}; -} - -void FakeCgroupSetup::CleanupSystemProcess(pid_t pid) { - absl::MutexLock lock(&mtx_); - auto iter = system_cgroup_.find(pid); - RAY_CHECK(iter != system_cgroup_.end()) - << "PID " << pid << " hasn't be added into system cgroup."; - system_cgroup_.erase(iter); -} - -void FakeCgroupSetup::CleanupCgroupContext(const AppProcCgroupMetadata &ctx) { - absl::MutexLock lock(&mtx_); - CgroupFolder cgroup_folder; - cgroup_folder.max_memory_bytes = ctx.max_memory; - auto ctx_iter = cgroup_to_pids_.find(cgroup_folder); - RAY_CHECK(ctx_iter != cgroup_to_pids_.end()); - - auto &pids = ctx_iter->second; - auto pid_iter = pids.find(ctx.pid); - RAY_CHECK(pid_iter != pids.end()); - - if (pids.size() == 1) { - cgroup_to_pids_.erase(ctx_iter); - } else { - pids.erase(pid_iter); - } -} - -FakeCgroupSetup::~FakeCgroupSetup() { RAY_CHECK(cgroup_to_pids_.empty()); } - -} // namespace ray diff --git a/src/ray/common/cgroup/fake_cgroup_setup.h b/src/ray/common/cgroup/fake_cgroup_setup.h deleted file mode 100644 index 9d235e4a2580..000000000000 --- a/src/ray/common/cgroup/fake_cgroup_setup.h +++ /dev/null @@ -1,75 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Fake implementation for node-wise cgroup setup, which mimic folder structure in-memory. - -#pragma once - -#include -#include - -#include "absl/base/thread_annotations.h" -#include "absl/container/flat_hash_map.h" -#include "absl/container/flat_hash_set.h" -#include "absl/hash/hash.h" -#include "absl/synchronization/mutex.h" -#include "ray/common/cgroup/base_cgroup_setup.h" -#include "ray/common/cgroup/cgroup_context.h" -#include "ray/util/process.h" - -namespace ray { - -// Use in-memory data structure to mimic filesystem behavior, which is used for unit -// testing. -class FakeCgroupSetup : public BaseCgroupSetup { - public: - explicit FakeCgroupSetup(const std::string &node_id /*unused*/) {} - // Verify system cgroup and application cgroup has been cleaned up. - ~FakeCgroupSetup() override; - - Status AddSystemProcess(pid_t pid) override; - - ScopedCgroupHandler ApplyCgroupContext(const AppProcCgroupMetadata &ctx) override; - - protected: - void CleanupSystemProcess(pid_t pid); - - void CleanupCgroupContext(const AppProcCgroupMetadata &ctx); - - private: - // TODO(hjiang): For physical mode, as of now we only support max memory, more resource - // types will be supported in the future. - struct CgroupFolder { - // Number of bytes for max memory. - uint64_t max_memory_bytes = 0; - - template - friend H AbslHashValue(H h, const CgroupFolder &ctx) { - return H::combine(std::move(h), ctx.max_memory_bytes); - } - bool operator==(const CgroupFolder &rhs) const { - return max_memory_bytes == rhs.max_memory_bytes; - } - }; - - absl::Mutex mtx_; - // Stores process id of ray system (i.e. raylet, GCS, etc). - absl::flat_hash_set system_cgroup_ ABSL_GUARDED_BY(mtx_); - // Stores process id of application process (aka. user applications). - // Maps from cgroup folder to its pids. - absl::flat_hash_map> cgroup_to_pids_ - ABSL_GUARDED_BY(mtx_); -}; - -} // namespace ray diff --git a/src/ray/common/cgroup/scoped_cgroup_handle.h b/src/ray/common/cgroup/scoped_cgroup_handle.h deleted file mode 100644 index fde3b3f97836..000000000000 --- a/src/ray/common/cgroup/scoped_cgroup_handle.h +++ /dev/null @@ -1,45 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// A scoped cgroup handler, which indicates a successful cgroup operation, and -// automatically cleans up the resources at handler's destruction. - -#pragma once - -#include -#include - -namespace ray { - -class ScopedCgroupHandler { - public: - ScopedCgroupHandler() = default; - explicit ScopedCgroupHandler(std::function cgroup_cleanup) - : cgroup_cleanup_(std::move(cgroup_cleanup)) {} - ScopedCgroupHandler(const ScopedCgroupHandler &) = delete; - ScopedCgroupHandler &operator=(const ScopedCgroupHandler &) = delete; - ScopedCgroupHandler(ScopedCgroupHandler &&) = default; - ScopedCgroupHandler &operator=(ScopedCgroupHandler &&) = default; - - ~ScopedCgroupHandler() { - if (cgroup_cleanup_) { - cgroup_cleanup_(); - } - } - - private: - std::function cgroup_cleanup_; -}; - -} // namespace ray diff --git a/src/ray/common/cgroup/tests/BUILD.bazel b/src/ray/common/cgroup/tests/BUILD.bazel deleted file mode 100644 index 5ad80e0fe6aa..000000000000 --- a/src/ray/common/cgroup/tests/BUILD.bazel +++ /dev/null @@ -1,80 +0,0 @@ -load("//bazel:ray.bzl", "ray_cc_library", "ray_cc_test") - -ray_cc_test( - name = "cgroup_v2_utils_privileged_test", - size = "small", - srcs = ["cgroup_v2_utils_privileged_test.cc"], - tags = [ - "cgroup", - "exclusive", - "no_windows", - "team:core", - ], - deps = [ - "//src/ray/common/cgroup:cgroup_setup", - "//src/ray/common/tests:testing", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "cgroup_v2_utils_unprivileged_test", - size = "small", - srcs = ["cgroup_v2_utils_unprivileged_test.cc"], - tags = [ - "exclusive", - "no_windows", - "team:core", - ], - deps = [ - "//src/ray/common/cgroup:cgroup_setup", - "//src/ray/common/tests:testing", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "fake_cgroup_setup_test", - srcs = ["fake_cgroup_setup_test.cc"], - tags = [ - "no_windows", - "team:core", - ], - deps = [ - "//src/ray/common/cgroup:fake_cgroup_setup", - "//src/ray/common/tests:testing", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "cgroup_v2_setup_test", - srcs = ["cgroup_v2_setup_test.cc"], - tags = [ - "cgroup", - "no_windows", - "team:core", - ], - deps = [ - ":cgroup_test_utils", - "//src/ray/common/cgroup:cgroup_setup", - "//src/ray/common/cgroup:cgroup_utils", - "//src/ray/common/tests:testing", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_library( - name = "cgroup_test_utils", - testonly = True, - srcs = ["cgroup_test_utils.cc"], - hdrs = ["cgroup_test_utils.h"], - deps = [ - "//src/ray/common/tests:testing", - "//src/ray/util:compat", - "//src/ray/util:container_util", - "//src/ray/util:filesystem", - "@com_google_absl//absl/strings", - "@com_google_googletest//:gtest", - ], -) diff --git a/src/ray/common/cgroup/tests/cgroup_test_utils.cc b/src/ray/common/cgroup/tests/cgroup_test_utils.cc deleted file mode 100644 index bdc373fd69d6..000000000000 --- a/src/ray/common/cgroup/tests/cgroup_test_utils.cc +++ /dev/null @@ -1,43 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/tests/cgroup_test_utils.h" - -#include - -#include -#include - -#include "absl/strings/str_split.h" -#include "absl/strings/strip.h" -#include "ray/common/tests/testing.h" -#include "ray/util/container_util.h" -#include "ray/util/filesystem.h" - -namespace ray { - -void AssertPidInCgroup(pid_t pid, const std::string &proc_filepath) { - auto pids = ReadEntireFile(proc_filepath); - RAY_ASSERT_OK(pids); - std::string_view pids_sv = *pids; - absl::ConsumeSuffix(&pids_sv, "\n"); - - const std::unordered_set pid_parts = absl::StrSplit(pids_sv, ' '); - ASSERT_TRUE(pid_parts.find(std::to_string(pid)) != pid_parts.end()) - << "Couldn't find pid " << pid << "in cgroup proc file " << proc_filepath - << ", all pids include " - << DebugStringWrapper >(pid_parts); -} - -} // namespace ray diff --git a/src/ray/common/cgroup/tests/cgroup_test_utils.h b/src/ray/common/cgroup/tests/cgroup_test_utils.h deleted file mode 100644 index 002a28462873..000000000000 --- a/src/ray/common/cgroup/tests/cgroup_test_utils.h +++ /dev/null @@ -1,28 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Util functions for cgroup testing. - -#pragma once - -#include - -#include "ray/util/compat.h" - -namespace ray { - -// Assert the given process id exists in cgroup pid file. -void AssertPidInCgroup(pid_t pid, const std::string &proc_filepath); - -} // namespace ray diff --git a/src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc deleted file mode 100644 index 1cc57433c9f3..000000000000 --- a/src/ray/common/cgroup/tests/cgroup_v2_setup_test.cc +++ /dev/null @@ -1,144 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. -// -// Precondition: cgroupv2 has already been mounted as rw. -// -// TODO(hjiang): Provide documentation and scripts to check cgroupv2 mount status and -// mount it correctly. -// Link: -// https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/managing_monitoring_and_updating_the_kernel/using-cgroups-v2-to-control-distribution-of-cpu-time-for-applications_managing-monitoring-and-updating-the-kernel#mounting-cgroups-v2_using-cgroups-v2-to-control-distribution-of-cpu-time-for-applications -// -// Execution command: -// sudo bazel-bin/src/ray/common/cgroup/tests/cgroup_v2_setup_test - -#include -#include -#include - -#include -#include -#include -#include -#include -#include - -#include "ray/common/cgroup/cgroup_setup.h" -#include "ray/common/cgroup/cgroup_utils.h" -#include "ray/common/cgroup/tests/cgroup_test_utils.h" -#include "ray/common/tests/testing.h" - -namespace ray { - -#ifndef __linux__ -TEST(Cgroupv2SetupTest, NonLinuxCrashTest) { - EXPECT_EXIT(CgroupSetup{"/sys/fs/cgroup", "node_id"}, - testing::ExitedWithCode(EXIT_FAILURE), - "cgroupv2 doesn't work on non linux platform."); -} -#else - -class Cgroupv2SetupTest : public ::testing::Test { - public: - Cgroupv2SetupTest() - : node_id_("node_id"), - node_cgroup_folder_("/sys/fs/cgroup/ray_node_node_id"), - system_cgroup_folder_("/sys/fs/cgroup/ray_node_node_id/system"), - system_cgroup_proc_filepath_( - "/sys/fs/cgroup/ray_node_node_id/system/cgroup.procs"), - app_cgroup_folder_("/sys/fs/cgroup/ray_node_node_id/ray_application"), - app_cgroup_proc_filepath_( - "/sys/fs/cgroup/ray_node_node_id/ray_application/default/cgroup.procs") {} - void TearDown() override { - // Check the application subcgroup folder has been deleted. - std::error_code err_code; - bool exists = std::filesystem::exists(app_cgroup_folder_, err_code); - ASSERT_FALSE(err_code) << "Check file existence failed because " - << err_code.message(); - ASSERT_FALSE(exists); - } - - protected: - const std::string node_id_; - const std::string node_cgroup_folder_; - const std::string system_cgroup_folder_; - const std::string system_cgroup_proc_filepath_; - const std::string app_cgroup_folder_; - const std::string app_cgroup_proc_filepath_; -}; - -TEST_F(Cgroupv2SetupTest, SetupTest) { - CgroupSetup cgroup_setup{"/sys/fs/cgroup", "node_id", CgroupSetup::TestTag{}}; - - // Check system cgroup is created successfully. - std::error_code err_code; - bool exists = std::filesystem::exists(system_cgroup_folder_, err_code); - ASSERT_FALSE(err_code); - ASSERT_TRUE(exists); - - // Check application cgroup is created successfully. - exists = std::filesystem::exists(app_cgroup_folder_, err_code); - ASSERT_FALSE(err_code); - ASSERT_TRUE(exists); -} - -TEST_F(Cgroupv2SetupTest, AddSystemProcessTest) { - CgroupSetup cgroup_setup{"/sys/fs/cgroup", "node_id", CgroupSetup::TestTag{}}; - - pid_t pid = fork(); - ASSERT_NE(pid, -1); - - // Child process. - if (pid == 0) { - // Spawn a process running long enough, so it could be added into system cgroup. - // It won't affect test runtime, because it will be killed later. - std::this_thread::sleep_for(std::chrono::seconds(3600)); - // Exit without flushing the buffer. - std::_Exit(0); - } - - RAY_ASSERT_OK(cgroup_setup.AddSystemProcess(pid)); - AssertPidInCgroup(pid, system_cgroup_proc_filepath_); - - // Kill testing process. - RAY_ASSERT_OK(KillAllProcAndWait(system_cgroup_folder_)); -} - -TEST_F(Cgroupv2SetupTest, AddAppProcessTest) { - CgroupSetup cgroup_setup{"/sys/fs/cgroup", "node_id", CgroupSetup::TestTag{}}; - - pid_t pid = fork(); - ASSERT_NE(pid, -1); - - // Child process. - if (pid == 0) { - // Spawn a process running long enough, so it could be added into system cgroup. - // It won't affect test runtime, because it will be killed later. - std::this_thread::sleep_for(std::chrono::seconds(3600)); - // Exit without flushing the buffer. - std::_Exit(0); - } - - AppProcCgroupMetadata app_metadata; - app_metadata.pid = pid; - app_metadata.max_memory = 0; // No limit specified. - auto handle = cgroup_setup.ApplyCgroupContext(app_metadata); - AssertPidInCgroup(pid, app_cgroup_proc_filepath_); - - // Kill testing process. - RAY_ASSERT_OK(KillAllProcAndWait(app_cgroup_folder_)); -} - -#endif - -} // namespace ray diff --git a/src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc deleted file mode 100644 index 14b0bf9182e7..000000000000 --- a/src/ray/common/cgroup/tests/cgroup_v2_utils_privileged_test.cc +++ /dev/null @@ -1,53 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include - -#include "ray/common/cgroup/cgroup_setup.h" -#include "ray/common/tests/testing.h" - -namespace ray::internal { - -namespace { - -// Precondition: cgroup V2 has already been mounted as rw. -// -// Setup command: -// sudo umount /sys/fs/cgroup/unified -// sudo mount -t cgroup2 cgroup2 /sys/fs/cgroup/unified -o rw -TEST(CgroupV2UtilsTest, CgroupV2MountPrepared) { - // Happy path. - RAY_ASSERT_OK(CheckCgroupV2MountedRW("/sys/fs/cgroup")); -} - -TEST(CgroupV2UtilsTest, CgroupV2DirectoryNotExist) { - EXPECT_EQ(CheckCgroupV2MountedRW("/tmp/non_existent_folder").code(), - StatusCode::InvalidArgument); -} - -TEST(CgroupV2UtilsTest, CgroupV2DirectoryNotWritable) { - EXPECT_EQ(CheckCgroupV2MountedRW("/").code(), StatusCode::InvalidArgument); -} - -TEST(CgroupV2UtilsTest, CgroupV2DirectoryNotOfCgroupV2Type) { - EXPECT_EQ(CheckCgroupV2MountedRW("/tmp").code(), StatusCode::InvalidArgument); -} - -TEST(CgroupV2UtilsTest, SubtreeControllerEnable) { - RAY_ASSERT_OK(CheckCgroupV2MountedRW("/sys/fs/cgroup")); -} - -} // namespace - -} // namespace ray::internal diff --git a/src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc b/src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc deleted file mode 100644 index 38626b4ca313..000000000000 --- a/src/ray/common/cgroup/tests/cgroup_v2_utils_unprivileged_test.cc +++ /dev/null @@ -1,41 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Precondition for the test suite: -// - If run on local dev environment, don't mount cgroupv2 as rw mode. -// - If run on remote CI, run in non-privileged container mode (where cgroup is mounted as -// read-only mode). - -#include - -#include "ray/common/cgroup/cgroup_setup.h" -#include "ray/common/tests/testing.h" - -namespace ray::internal { - -namespace { - -TEST(CgroupV2UtilsTest, CheckCgroupV2Mount) { -#ifndef __linux__ - // Error case: cgroup feature is not supported on non-linux platforms. - EXPECT_EQ(CheckCgroupV2MountedRW("/sys/fs/cgroup").code(), StatusCode::Invalid); -#else - // Error case: cgroup directory exists, but not writable. - EXPECT_EQ(CheckCgroupV2MountedRW("/sys/fs/cgroup").code(), StatusCode::InvalidArgument); -#endif // __linux__ -} - -} // namespace - -} // namespace ray::internal diff --git a/src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc b/src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc deleted file mode 100644 index fd29f13391ec..000000000000 --- a/src/ray/common/cgroup/tests/fake_cgroup_setup_test.cc +++ /dev/null @@ -1,75 +0,0 @@ -// Copyright 2025 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/common/cgroup/fake_cgroup_setup.h" - -#include - -#include -#include - -#include "ray/common/tests/testing.h" - -namespace ray { - -namespace { - -// Add and remove a few system and application cgroup from fake cgroup accessor. -TEST(FakeCgroupSetupTest, AddAndRemoveTest) { - { - FakeCgroupSetup fake_cgroup_setup{"node-id"}; - RAY_ASSERT_OK(fake_cgroup_setup.AddSystemProcess(0)); - - AppProcCgroupMetadata meta1; - meta1.pid = 1; - meta1.max_memory = 10; - auto application_handler1 = fake_cgroup_setup.ApplyCgroupContext(meta1); - - AppProcCgroupMetadata meta2; - meta2.pid = 2; - meta2.max_memory = 10; - auto application_handler2 = fake_cgroup_setup.ApplyCgroupContext(meta2); - - AppProcCgroupMetadata meta3; - meta3.pid = 2; - meta3.max_memory = 5; // Different max memory with previous applications. - auto application_handler3 = fake_cgroup_setup.ApplyCgroupContext(meta3); - } - // Make sure fake cgroup setup destructs with no problem. - - // Use multiple thread to apply cgroup context. - constexpr int kThdNum = 100; - { - FakeCgroupSetup fake_cgroup_setup{"node-id"}; - std::vector thds; - thds.reserve(kThdNum); - RAY_ASSERT_OK(fake_cgroup_setup.AddSystemProcess(0)); - for (int idx = 0; idx < kThdNum; ++idx) { - thds.emplace_back([pid = idx, &fake_cgroup_setup]() { - AppProcCgroupMetadata meta; - meta.pid = pid; - meta.max_memory = 10; - fake_cgroup_setup.ApplyCgroupContext(meta); - }); - } - for (auto &cur_thd : thds) { - cur_thd.join(); - } - } - // Make sure fake cgroup setup destructs with no problem. -} - -} // namespace - -} // namespace ray diff --git a/src/ray/core_worker/BUILD.bazel b/src/ray/core_worker/BUILD.bazel index 088f177e1867..00122c4edc1c 100644 --- a/src/ray/core_worker/BUILD.bazel +++ b/src/ray/core_worker/BUILD.bazel @@ -33,9 +33,6 @@ ray_cc_library( ":shutdown_coordinator", ":task_event_buffer", "//src/ray/common:protobuf_utils", - "//src/ray/common/cgroup:cgroup_context", - "//src/ray/common/cgroup:cgroup_manager", - "//src/ray/common/cgroup:constants", "//src/ray/core_worker/task_execution:task_receiver", "//src/ray/core_worker/task_submission:normal_task_submitter", "//src/ray/core_worker_rpc_client:core_worker_client", diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index cf1dedc44b15..9c7da66dfd4a 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -35,9 +35,6 @@ #include "absl/cleanup/cleanup.h" #include "absl/strings/str_format.h" #include "ray/common/bundle_spec.h" -#include "ray/common/cgroup/cgroup_context.h" -#include "ray/common/cgroup/cgroup_manager.h" -#include "ray/common/cgroup/constants.h" #include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 52361f6d9bee..754f57fb914a 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -24,9 +24,6 @@ #include "absl/cleanup/cleanup.h" #include "absl/strings/str_format.h" #include "ray/common/bundle_spec.h" -#include "ray/common/cgroup/cgroup_context.h" -#include "ray/common/cgroup/cgroup_manager.h" -#include "ray/common/cgroup/constants.h" #include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" #include "ray/common/runtime_env_common.h" From 70d0abb0b27124bbcd9a02cc3e0b1d287d3baec5 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Thu, 25 Sep 2025 17:43:21 -0700 Subject: [PATCH 1410/1566] [deps] removing default flag & updating ray img lock file (#56859) removing `--extra-index-url https://download.pytorch.org/whl/cpu` as default flag removing headers from requirements compiled before compiling ray lock files Updating unit tests --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- ci/raydepsets/cli.py | 1 - ci/raydepsets/rayimg.depsets.yaml | 3 +- ci/raydepsets/rayllm.depsets.yaml | 3 +- ci/raydepsets/tests/test_cli.py | 10 +- .../test_data/requirements_compiled_test.txt | 1 - .../requirements_compiled_test_expand.txt | 1 - .../requirements_compiled_test_update.txt | 1 - python/deplocks/llm/ray_py311_cpu.lock | 2 +- python/deplocks/llm/ray_py311_cu121.lock | 2 +- python/deplocks/llm/ray_py311_cu128.lock | 2 +- python/deplocks/llm/ray_test_py311_cpu.lock | 2 +- python/deplocks/llm/ray_test_py311_cu121.lock | 2 +- python/deplocks/llm/ray_test_py311_cu128.lock | 2 +- python/deplocks/llm/rayllm_py311_cpu.lock | 2 +- python/deplocks/llm/rayllm_py311_cu121.lock | 2 +- python/deplocks/llm/rayllm_py311_cu128.lock | 2 +- .../deplocks/llm/rayllm_test_py311_cpu.lock | 2 +- .../deplocks/llm/rayllm_test_py311_cu121.lock | 2 +- .../deplocks/llm/rayllm_test_py311_cu128.lock | 2 +- python/deplocks/ray_img/ray_img_py310.lock | 210 +++++++++--------- python/deplocks/ray_img/ray_img_py311.lock | 208 +++++++++-------- python/deplocks/ray_img/ray_img_py312.lock | 202 +++++++++-------- python/deplocks/ray_img/ray_img_py39.lock | 208 +++++++++-------- 23 files changed, 429 insertions(+), 443 deletions(-) diff --git a/ci/raydepsets/cli.py b/ci/raydepsets/cli.py index 1133657f8850..686258d374af 100644 --- a/ci/raydepsets/cli.py +++ b/ci/raydepsets/cli.py @@ -19,7 +19,6 @@ --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple - --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url diff --git a/ci/raydepsets/rayimg.depsets.yaml b/ci/raydepsets/rayimg.depsets.yaml index 9e5d2374b726..e170e99e1644 100644 --- a/ci/raydepsets/rayimg.depsets.yaml +++ b/ci/raydepsets/rayimg.depsets.yaml @@ -18,7 +18,7 @@ depsets: packages: - ray[all]==100.0.0.dev0 constraints: - - python/requirements_compiled.txt + - /tmp/ray-deps/requirements_compiled.txt output: python/deplocks/ray_img/ray_img_py${PYTHON_SHORT}.lock operation: compile append_flags: @@ -31,3 +31,4 @@ depsets: - py312 pre_hooks: - ci/raydepsets/pre_hooks/build-placeholder-wheel.sh ${PYTHON_VERSION} + - ci/raydepsets/pre_hooks/remove-compiled-headers.sh diff --git a/ci/raydepsets/rayllm.depsets.yaml b/ci/raydepsets/rayllm.depsets.yaml index ecb4fea950cf..cbced82017a4 100644 --- a/ci/raydepsets/rayllm.depsets.yaml +++ b/ci/raydepsets/rayllm.depsets.yaml @@ -11,12 +11,11 @@ build_arg_sets: .common_settings: &common_settings - override_flags: - - --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE} append_flags: - --python-version=3.11 - --unsafe-package ray - --python-platform=linux + - --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE} build_arg_sets: - cpu - cu121 diff --git a/ci/raydepsets/tests/test_cli.py b/ci/raydepsets/tests/test_cli.py index 010c06a3a7b7..df3a158d4e18 100644 --- a/ci/raydepsets/tests/test_cli.py +++ b/ci/raydepsets/tests/test_cli.py @@ -336,14 +336,12 @@ def test_append_uv_flags_with_space_in_flag(self): def test_override_uv_flag_single_flag(self): expected_flags = DEFAULT_UV_FLAGS.copy() - expected_flags.remove("--extra-index-url") - expected_flags.remove("https://download.pytorch.org/whl/cpu") - expected_flags.extend( - ["--extra-index-url", "https://download.pytorch.org/whl/cu128"] - ) + expected_flags.remove("--index-strategy") + expected_flags.remove("unsafe-best-match") + expected_flags.extend(["--index-strategy", "first-index"]) assert ( _override_uv_flags( - ["--extra-index-url https://download.pytorch.org/whl/cu128"], + ["--index-strategy first-index"], DEFAULT_UV_FLAGS.copy(), ) == expected_flags diff --git a/ci/raydepsets/tests/test_data/requirements_compiled_test.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test.txt index c3215b101e88..de4b664c10e8 100644 --- a/ci/raydepsets/tests/test_data/requirements_compiled_test.txt +++ b/ci/raydepsets/tests/test_data/requirements_compiled_test.txt @@ -1,5 +1,4 @@ --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu emoji==2.9.0 \ --hash=sha256:17b0d53e1d9f787307a4c65aa19badb0a1ffdbc89b3a3cd851fc77821cdaced2 \ diff --git a/ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt index 79e9b8c15e30..844da8f24d85 100644 --- a/ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt +++ b/ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt @@ -1,5 +1,4 @@ --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu emoji==2.9.0 \ --hash=sha256:17b0d53e1d9f787307a4c65aa19badb0a1ffdbc89b3a3cd851fc77821cdaced2 \ diff --git a/ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt b/ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt index 4c2c5b2d1886..5c240dbe7b61 100644 --- a/ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt +++ b/ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt @@ -1,5 +1,4 @@ --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu emoji==2.10.0 \ --hash=sha256:7e68435eecd2c428c3b4aaa5f72d61a5b1a36c81a5138681cba13d19d94aa3a0 \ diff --git a/python/deplocks/llm/ray_py311_cpu.lock b/python/deplocks/llm/ray_py311_cpu.lock index 9e76d9282fb9..7a8eea5151a0 100644 --- a/python/deplocks/llm/ray_py311_cpu.lock +++ b/python/deplocks/llm/ray_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cpu -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/ray_py311_cu121.lock b/python/deplocks/llm/ray_py311_cu121.lock index e9a88445ed84..64863b1898b4 100644 --- a/python/deplocks/llm/ray_py311_cu121.lock +++ b/python/deplocks/llm/ray_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu121 -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/ray_py311_cu128.lock b/python/deplocks/llm/ray_py311_cu128.lock index d65b8adf1934..3f4dca78b1ab 100644 --- a/python/deplocks/llm/ray_py311_cu128.lock +++ b/python/deplocks/llm/ray_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu128 -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt -o python/deplocks/llm/ray_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/llm/ray_test_py311_cpu.lock b/python/deplocks/llm/ray_test_py311_cpu.lock index 2681827678b0..4c3c47f5a0ce 100644 --- a/python/deplocks/llm/ray_test_py311_cpu.lock +++ b/python/deplocks/llm/ray_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cpu -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/ray_test_py311_cu121.lock b/python/deplocks/llm/ray_test_py311_cu121.lock index d61e27a0a6c9..a8fd7c66f50f 100644 --- a/python/deplocks/llm/ray_test_py311_cu121.lock +++ b/python/deplocks/llm/ray_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu121 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/ray_test_py311_cu128.lock b/python/deplocks/llm/ray_test_py311_cu128.lock index 058fe256012f..dd6ff2cbf4f9 100644 --- a/python/deplocks/llm/ray_test_py311_cu128.lock +++ b/python/deplocks/llm/ray_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu128 -c /tmp/ray-deps/requirements_compiled.txt python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt -o python/deplocks/llm/ray_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/llm/rayllm_py311_cpu.lock b/python/deplocks/llm/rayllm_py311_cpu.lock index 290ba9ffb530..c327ecab275c 100644 --- a/python/deplocks/llm/rayllm_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cpu.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cpu -c python/deplocks/llm/rayllm_test_py311_cpu.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/rayllm_py311_cu121.lock b/python/deplocks/llm/rayllm_py311_cu121.lock index 68107182726d..647a7a382fb0 100644 --- a/python/deplocks/llm/rayllm_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu121.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu121 -c python/deplocks/llm/rayllm_test_py311_cu121.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/rayllm_py311_cu128.lock b/python/deplocks/llm/rayllm_py311_cu128.lock index 0040796dcf0a..e56d9bd9a41e 100644 --- a/python/deplocks/llm/rayllm_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/rayllm_test_py311_cu128.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu128 -c python/deplocks/llm/rayllm_test_py311_cu128.lock python/requirements.txt python/requirements/llm/llm-requirements.txt -o python/deplocks/llm/rayllm_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/llm/rayllm_test_py311_cpu.lock b/python/deplocks/llm/rayllm_test_py311_cpu.lock index 678e8e8b4198..3ad5b2878c0b 100644 --- a/python/deplocks/llm/rayllm_test_py311_cpu.lock +++ b/python/deplocks/llm/rayllm_test_py311_cpu.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cpu --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cpu.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cpu -c python/deplocks/llm/ray_test_py311_cpu.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cpu.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu diff --git a/python/deplocks/llm/rayllm_test_py311_cu121.lock b/python/deplocks/llm/rayllm_test_py311_cu121.lock index eb084707411c..08df27f36912 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu121.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu121.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu121 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu121.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu121 -c python/deplocks/llm/ray_test_py311_cu121.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu121.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu121 diff --git a/python/deplocks/llm/rayllm_test_py311_cu128.lock b/python/deplocks/llm/rayllm_test_py311_cu128.lock index ffb192011605..03f49c28b79d 100644 --- a/python/deplocks/llm/rayllm_test_py311_cu128.lock +++ b/python/deplocks/llm/rayllm_test_py311_cu128.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --extra-index-url https://download.pytorch.org/whl/cu128 --python-version=3.11 --unsafe-package ray --python-platform=linux -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu128.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --unsafe-package ray --python-platform=linux --extra-index-url https://download.pytorch.org/whl/cu128 -c python/deplocks/llm/ray_test_py311_cu128.lock python/requirements.txt python/requirements/cloud-requirements.txt python/requirements/base-test-requirements.txt python/requirements/llm/llm-requirements.txt python/requirements/llm/llm-test-requirements.txt -o python/deplocks/llm/rayllm_test_py311_cu128.lock --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cu128 diff --git a/python/deplocks/ray_img/ray_img_py310.lock b/python/deplocks/ray_img/ray_img_py310.lock index c6d9fab2624b..7ce462f0f4ed 100644 --- a/python/deplocks/ray_img/ray_img_py310.lock +++ b/python/deplocks/ray_img/ray_img_py310.lock @@ -1,15 +1,13 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py310.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py310.lock --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu --find-links .whl/ ---find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -94,51 +92,51 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp-cors # ray aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # starlette # watchfiles async-timeout==4.0.3 ; python_full_version < '3.11' \ --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # jsonschema # referencing @@ -146,25 +144,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -220,7 +218,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -314,13 +312,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # click-didyoumean # click-plugins @@ -331,31 +329,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -396,7 +394,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -412,13 +410,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -468,7 +466,7 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray exceptiongroup==1.3.0 ; python_full_version < '3.11' \ --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ @@ -478,13 +476,13 @@ farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -563,13 +561,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # virtualenv frozenlist==1.4.1 \ @@ -651,32 +649,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal fsspec==2023.12.1 \ --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core grpcio==1.74.0 \ --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ @@ -731,19 +729,19 @@ grpcio==1.74.0 \ --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -794,7 +792,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio # requests # yarl @@ -802,31 +800,31 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -866,13 +864,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray markdown-it-py==2.2.0 ; sys_platform != 'win32' \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -901,13 +899,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jinja2 mdurl==0.1.2 ; sys_platform != 'win32' \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -946,7 +944,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1006,7 +1004,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1100,7 +1098,7 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl numpy==1.26.4 \ @@ -1141,7 +1139,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x # gymnasium # pandas @@ -1152,19 +1150,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -1172,26 +1170,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk ormsgpack==1.7.0 \ --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ @@ -1221,13 +1219,13 @@ ormsgpack==1.7.0 \ --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu # ray # tensorboardx @@ -1260,26 +1258,26 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1381,14 +1379,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1403,7 +1401,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # googleapis-common-protos # opentelemetry-proto @@ -1420,7 +1418,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1466,32 +1464,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cffi pydantic==2.11.7 \ --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray pydantic-core==2.33.2 \ @@ -1595,25 +1593,25 @@ pydantic-core==2.33.2 \ --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic pygments==2.18.0 ; sys_platform != 'win32' \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # pandas python-dotenv==1.1.1 \ @@ -1624,7 +1622,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1679,7 +1677,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn ray==100.0.0.dev0 \ @@ -1688,21 +1686,21 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # ray rich==13.3.2 ; sys_platform != 'win32' \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray rpds-py==0.22.3 \ --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ @@ -1809,14 +1807,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1845,44 +1843,44 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # exceptiongroup # fastapi # gymnasium @@ -1898,25 +1896,25 @@ typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ @@ -1957,13 +1955,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # amqp # celery # kombu @@ -1971,7 +1969,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -1997,14 +1995,14 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # prompt-toolkit websockets==11.0.3 \ --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ @@ -2078,7 +2076,7 @@ websockets==11.0.3 \ --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2164,10 +2162,10 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp zipp==3.19.2 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py311.lock b/python/deplocks/ray_img/ray_img_py311.lock index c01332ec3f9a..311f21c99973 100644 --- a/python/deplocks/ray_img/ray_img_py311.lock +++ b/python/deplocks/ray_img/ray_img_py311.lock @@ -1,15 +1,13 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py311.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py311.lock --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu --find-links .whl/ ---find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -94,45 +92,45 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp-cors # ray aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # starlette # watchfiles attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # jsonschema # referencing @@ -140,25 +138,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -214,7 +212,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -308,13 +306,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # click-didyoumean # click-plugins @@ -325,31 +323,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -390,7 +388,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -406,13 +404,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -462,19 +460,19 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -553,13 +551,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # virtualenv frozenlist==1.4.1 \ @@ -641,32 +639,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal fsspec==2023.12.1 \ --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core grpcio==1.74.0 \ --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ @@ -721,19 +719,19 @@ grpcio==1.74.0 \ --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -784,7 +782,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio # requests # yarl @@ -792,31 +790,31 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -856,13 +854,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray markdown-it-py==2.2.0 ; sys_platform != 'win32' \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -891,13 +889,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jinja2 mdurl==0.1.2 ; sys_platform != 'win32' \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -936,7 +934,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -996,7 +994,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1090,7 +1088,7 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl numpy==1.26.4 \ @@ -1131,7 +1129,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x # gymnasium # pandas @@ -1142,19 +1140,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -1162,26 +1160,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk ormsgpack==1.7.0 \ --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ @@ -1211,13 +1209,13 @@ ormsgpack==1.7.0 \ --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu # ray # tensorboardx @@ -1250,26 +1248,26 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1371,14 +1369,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1393,7 +1391,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # googleapis-common-protos # opentelemetry-proto @@ -1410,7 +1408,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1456,32 +1454,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cffi pydantic==2.11.7 \ --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray pydantic-core==2.33.2 \ @@ -1585,25 +1583,25 @@ pydantic-core==2.33.2 \ --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic pygments==2.18.0 ; sys_platform != 'win32' \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # pandas python-dotenv==1.1.1 \ @@ -1614,7 +1612,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1669,7 +1667,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn ray==100.0.0.dev0 \ @@ -1678,21 +1676,21 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # ray rich==13.3.2 ; sys_platform != 'win32' \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray rpds-py==0.22.3 \ --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ @@ -1799,14 +1797,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1835,44 +1833,44 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # gymnasium # opentelemetry-api @@ -1887,25 +1885,25 @@ typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ @@ -1946,13 +1944,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # amqp # celery # kombu @@ -1960,7 +1958,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -1986,14 +1984,14 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # prompt-toolkit websockets==11.0.3 \ --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ @@ -2067,7 +2065,7 @@ websockets==11.0.3 \ --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2153,10 +2151,10 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp zipp==3.19.2 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py312.lock b/python/deplocks/ray_img/ray_img_py312.lock index 4cc81338771e..bfc06111af50 100644 --- a/python/deplocks/ray_img/ray_img_py312.lock +++ b/python/deplocks/ray_img/ray_img_py312.lock @@ -1,15 +1,13 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py312.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py312.lock --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu --find-links .whl/ ---find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -94,45 +92,45 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp-cors # ray aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # starlette # watchfiles attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # jsonschema # referencing @@ -140,25 +138,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -214,7 +212,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -308,13 +306,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # click-didyoumean # click-plugins @@ -325,19 +323,19 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cloudpickle==3.1.1 \ --hash=sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64 \ @@ -347,7 +345,7 @@ colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -388,7 +386,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -404,13 +402,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -460,19 +458,19 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -551,13 +549,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # virtualenv frozenlist==1.4.1 \ @@ -639,32 +637,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal fsspec==2023.12.1 \ --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core grpcio==1.74.0 \ --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ @@ -719,19 +717,19 @@ grpcio==1.74.0 \ --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -782,7 +780,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio # requests # yarl @@ -790,31 +788,31 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -854,13 +852,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray markdown-it-py==2.2.0 ; sys_platform != 'win32' \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -889,13 +887,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jinja2 mdurl==0.1.2 ; sys_platform != 'win32' \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -934,7 +932,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -994,7 +992,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1088,7 +1086,7 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl numpy==1.26.4 \ @@ -1129,7 +1127,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x # gymnasium # pandas @@ -1140,19 +1138,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -1160,26 +1158,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk ormsgpack==1.7.0 \ --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ @@ -1209,13 +1207,13 @@ ormsgpack==1.7.0 \ --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu # ray # tensorboardx @@ -1267,20 +1265,20 @@ platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1382,14 +1380,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1404,7 +1402,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # googleapis-common-protos # opentelemetry-proto @@ -1465,32 +1463,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cffi pydantic==2.11.7 \ --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray pydantic-core==2.33.2 \ @@ -1594,25 +1592,25 @@ pydantic-core==2.33.2 \ --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic pygments==2.18.0 ; sys_platform != 'win32' \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # pandas python-dotenv==1.1.1 \ @@ -1623,7 +1621,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1678,7 +1676,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn ray==100.0.0.dev0 \ @@ -1687,21 +1685,21 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # ray rich==13.3.2 ; sys_platform != 'win32' \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray rpds-py==0.22.3 \ --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ @@ -1808,14 +1806,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1844,44 +1842,44 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # gymnasium # opentelemetry-api @@ -1896,26 +1894,26 @@ typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu # pandas urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ @@ -1956,13 +1954,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # amqp # celery # kombu @@ -1970,7 +1968,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -1996,14 +1994,14 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # prompt-toolkit websockets==11.0.3 \ --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ @@ -2077,7 +2075,7 @@ websockets==11.0.3 \ --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2163,10 +2161,10 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp zipp==3.19.2 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # importlib-metadata diff --git a/python/deplocks/ray_img/ray_img_py39.lock b/python/deplocks/ray_img/ray_img_py39.lock index 9787b8fc5971..2bc5ac0e9245 100644 --- a/python/deplocks/ray_img/ray_img_py39.lock +++ b/python/deplocks/ray_img/ray_img_py39.lock @@ -1,15 +1,13 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --find-links=.whl/ -c python/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py39.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py39.lock --index-url https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu --find-links .whl/ ---find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -94,51 +92,51 @@ aiohttp==3.11.16 \ --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp-cors # ray aiohttp-cors==0.7.0 \ --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray aiosignal==1.3.1 \ --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp amqp==5.3.1 \ --hash=sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2 \ --hash=sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu annotated-types==0.6.0 \ --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic anyio==3.7.1 \ --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # starlette # watchfiles async-timeout==4.0.3 ; python_full_version < '3.11' \ --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # jsonschema # referencing @@ -146,25 +144,25 @@ billiard==4.2.1 \ --hash=sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f \ --hash=sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cachetools==5.5.2 \ --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth celery==5.5.3 \ --hash=sha256:0b5761a07057acee94694464ca482416b959568904c9dfa41ce8413a7d65d525 \ --hash=sha256:6c972ae7968c2b5281227f01c3a3f984037d21c5129d07bf3550cc2afc6b10a5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ @@ -220,7 +218,7 @@ cffi==1.16.0 ; platform_python_implementation != 'PyPy' \ --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cryptography charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ @@ -314,13 +312,13 @@ charset-normalizer==3.3.2 \ --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # click-didyoumean # click-plugins @@ -331,31 +329,31 @@ click-didyoumean==0.3.1 \ --hash=sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463 \ --hash=sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-plugins==1.1.1.2 \ --hash=sha256:008d65743833ffc1f5417bf0e78e8d2c23aab04d9745ba817bd3e71b0feb6aa6 \ --hash=sha256:d7af3984a99d243c131aa1a828331e7630f4a88a9741fd05c927b204bcf92261 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery click-repl==0.3.0 \ --hash=sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9 \ --hash=sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery cloudpickle==2.2.0 \ --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium colorful==0.5.5 \ --hash=sha256:62c187e27c1433db9463ff93b1451898d1e7e23a7e553583fd9daeb6325182e4 \ --hash=sha256:66f8c1264b2a26f7293b96a03bb7a76c4bc8b9634369a0bffdcd12d618056a1d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -396,7 +394,7 @@ cryptography==44.0.3 \ --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyopenssl cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:230f8a8e99c81a653baa0ed00819990c0ed1f0cf0298214786b5e323461dc61a \ @@ -412,13 +410,13 @@ cupy-cuda12x==13.1.0 ; sys_platform != 'darwin' \ --hash=sha256:dac0284fecb90b5731f514e569a6fcf6674a730ae95b9490781a713b60a34423 \ --hash=sha256:e7a25ef1b44ae6276b5105affc2289edb34f1aa6676babd5bcd80907348c4cfa # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray distlib==0.3.7 \ --hash=sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057 \ --hash=sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ @@ -468,7 +466,7 @@ dm-tree==0.1.8 \ --hash=sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb \ --hash=sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray exceptiongroup==1.3.0 ; python_full_version < '3.11' \ --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ @@ -478,13 +476,13 @@ farama-notifications==0.0.4 \ --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:067edb0a0805bf61e17a251d5046af59f6e9d2b8ad01222e0ef7a0b7937d5548 \ @@ -563,13 +561,13 @@ fastrlock==0.8.2 ; sys_platform != 'darwin' \ --hash=sha256:fb5363cf0fddd9b50525ddbf64a1e1b28ec4c6dfb28670a940cb1cf988a6786b \ --hash=sha256:ff75c90663d6e8996610d435e71487daa853871ad1770dd83dc0f2fc4997241e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # virtualenv frozenlist==1.4.1 \ @@ -651,32 +649,32 @@ frozenlist==1.4.1 \ --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # aiosignal fsspec==2023.12.1 \ --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray google-api-core==2.24.2 \ --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core grpcio==1.74.0 \ --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ @@ -735,13 +733,13 @@ gymnasium==1.1.1 \ --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn httptools==0.6.4 \ --hash=sha256:0614154d5454c21b6410fdf5262b4a3ddb0f53f1e1721cfd59d55f32138c578a \ @@ -792,7 +790,7 @@ idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio # requests # yarl @@ -800,32 +798,32 @@ importlib-metadata==6.11.0 \ --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # gymnasium # opentelemetry-api jinja2==3.1.6 ; sys_platform != 'win32' \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray jsonschema==4.23.0 \ --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray jsonschema-specifications==2024.10.1 \ --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema kombu==5.5.4 \ --hash=sha256:886600168275ebeada93b888e831352fe578168342f0d1d5833d88ba0d847363 \ --hash=sha256:a12ed0557c238897d8e518f1d1fdf84bd1516c5e305af2dacd85c2015115feb8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery lz4==4.3.3 \ --hash=sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e \ @@ -865,13 +863,13 @@ lz4==4.3.3 \ --hash=sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0 \ --hash=sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray markdown-it-py==2.2.0 ; sys_platform != 'win32' \ --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ @@ -900,13 +898,13 @@ markupsafe==2.1.3 ; sys_platform != 'win32' \ --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jinja2 mdurl==0.1.2 ; sys_platform != 'win32' \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # markdown-it-py memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -945,7 +943,7 @@ memray==1.10.0 ; sys_platform != 'win32' \ --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -1005,7 +1003,7 @@ msgpack==1.0.7 \ --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -1099,7 +1097,7 @@ multidict==6.0.5 \ --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl numpy==1.26.4 \ @@ -1140,7 +1138,7 @@ numpy==1.26.4 \ --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cupy-cuda12x # gymnasium # pandas @@ -1151,19 +1149,19 @@ opencensus==0.11.4 \ --hash=sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864 \ --hash=sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opencensus-context==0.1.3 \ --hash=sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039 \ --hash=sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus opentelemetry-api==1.34.1 \ --hash=sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3 \ --hash=sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -1171,26 +1169,26 @@ opentelemetry-exporter-prometheus==0.55b1 \ --hash=sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0 \ --hash=sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray opentelemetry-sdk==1.34.1 \ --hash=sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e \ --hash=sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.55b1 \ --hash=sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed \ --hash=sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-sdk ormsgpack==1.7.0 \ --hash=sha256:0d88307ab45d95416ce4071b1b99326ca31362af01c3d206f15a0551a7a874bd \ @@ -1220,13 +1218,13 @@ ormsgpack==1.7.0 \ --hash=sha256:e86124cdbc8ed249806347c2fba96843e8941122b161b429139a0c973d270de4 \ --hash=sha256:f9967a7f3647ad118751abf090f8397fda3e4bca6833340cab95a3f2bec598cd # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu # ray # tensorboardx @@ -1259,26 +1257,26 @@ pandas==1.5.3 \ --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray platformdirs==3.11.0 \ --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # virtualenv prometheus-client==0.19.0 \ --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opentelemetry-exporter-prometheus # ray prompt-toolkit==3.0.41 \ --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # click-repl propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -1380,14 +1378,14 @@ propcache==0.3.0 \ --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp # yarl proto-plus==1.22.3 \ --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core protobuf==4.25.8 \ --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ @@ -1402,7 +1400,7 @@ protobuf==4.25.8 \ --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # googleapis-common-protos # opentelemetry-proto @@ -1419,7 +1417,7 @@ py-spy==0.4.0 ; python_full_version < '3.12' \ --hash=sha256:eee3d0bde85ca5cf4f01f012d461180ca76c24835a96f7b5c4ded64eb6a008ab \ --hash=sha256:f2cf3f7130e7d780471faa5957441d3b4e0ec39a79b2c00f4c33d494f7728428 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -1465,32 +1463,32 @@ pyarrow==19.0.1 \ --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray pyasn1==0.5.1 \ --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pyasn1-modules # rsa pyasn1-modules==0.3.0 \ --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth pycparser==2.21 ; platform_python_implementation != 'PyPy' \ --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # cffi pydantic==2.11.7 \ --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray pydantic-core==2.33.2 \ @@ -1594,25 +1592,25 @@ pydantic-core==2.33.2 \ --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic pygments==2.18.0 ; sys_platform != 'win32' \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # rich pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # celery # pandas python-dotenv==1.1.1 \ @@ -1623,7 +1621,7 @@ pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pandas pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -1678,7 +1676,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn ray==100.0.0.dev0 \ @@ -1687,21 +1685,21 @@ referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # jsonschema-specifications requests==2.32.3 \ --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-api-core # ray rich==13.3.2 ; sys_platform != 'win32' \ --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # memray rpds-py==0.22.3 \ --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ @@ -1808,14 +1806,14 @@ rpds-py==0.22.3 \ --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # jsonschema # referencing rsa==4.7.2 \ --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # google-auth scipy==1.11.4 \ --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ @@ -1844,44 +1842,44 @@ scipy==1.11.4 \ --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray six==1.16.0 \ --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # opencensus # python-dateutil smart-open==6.2.0 \ --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # anyio starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # fastapi # ray tensorboardx==2.6.2.2 \ --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # exceptiongroup # fastapi # gymnasium @@ -1898,25 +1896,25 @@ typing-inspection==0.4.1 \ --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # pydantic tzdata==2025.2 \ --hash=sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8 \ --hash=sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # kombu urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # requests uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' \ --hash=sha256:0878c2640cf341b269b7e128b1a5fed890adc4455513ca710d77d5e93aa6d6a0 \ @@ -1957,13 +1955,13 @@ uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'c --hash=sha256:f3df876acd7ec037a3d005b3ab85a7e4110422e4d9c1571d4fc89b0fc41b6816 \ --hash=sha256:f7089d2dc73179ce5ac255bdf37c236a9f914b264825fdaacaded6990a7fb4c2 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn vine==5.1.0 \ --hash=sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc \ --hash=sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # amqp # celery # kombu @@ -1971,7 +1969,7 @@ virtualenv==20.29.1 \ --hash=sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779 \ --hash=sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray watchfiles==0.19.0 \ --hash=sha256:0089c6dc24d436b373c3c57657bf4f9a453b13767150d17284fc6162b2791911 \ @@ -1997,14 +1995,14 @@ watchfiles==0.19.0 \ --hash=sha256:d9b073073e048081e502b6c6b0b88714c026a1a4c890569238d04aca5f9ca74b \ --hash=sha256:fac19dc9cbc34052394dbe81e149411a62e71999c0a19e1e09ce537867f95ae0 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # ray # uvicorn wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # prompt-toolkit websockets==11.0.3 \ --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ @@ -2078,7 +2076,7 @@ websockets==11.0.3 \ --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # uvicorn yarl==1.18.3 \ --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ @@ -2164,10 +2162,10 @@ yarl==1.18.3 \ --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # aiohttp zipp==3.19.2 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via - # -c python/requirements_compiled.txt + # -c /tmp/ray-deps/requirements_compiled.txt # importlib-metadata From bcef9b6715e7b33df15d74582269452dbe943dcf Mon Sep 17 00:00:00 2001 From: Srinath Krishnamachari <68668616+srinathk10@users.noreply.github.com> Date: Thu, 25 Sep 2025 17:49:31 -0700 Subject: [PATCH 1411/1566] [Data] Fix streaming executor to drain upstream output queue(s) (#56941) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Why are these changes needed? **Issue** - Consider a Pipeline ReadFiles->Limit->Map->... - When Limit, we mark the `mark_execution_finished` for current LimitOperator, so it won't dequeue from the upstream Ops output queue anymore. - When this happens, we can have Object Store resource leaks for the life of the pipeline because of pending unneeded Blocks in the upstream Op's output queue. - In the below progress bar, ReadFiles has 9.7GB locked up. ``` (pid=18548) ✔️ Dataset train_14_0 execution finished in 130.77 seconds: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 887k/887k [02:10<00:00, 6.78k row/s] (pid=18548) - ListFiles: Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 0.0B object store (in=0.0B,out=0.0B): 100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 513/513 [02:10<00:00, 3.92 row/s] (pid=18548) - ReadFiles: Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 9.7GB object store (in=0.0B,out=9.7GB): 100%|████████████████████████████████████████████████████████████████████████████████████████████| 1.28M/1.28M [02:10<00:00, 9.79k row/s] (pid=18548) - limit=1000000: Tasks: 0; Actors: 0; Queued blocks: 107; Resources: 0.0 CPU, 0.0B object store (in=0.0B,out=0.0B): 100%|████████████████████████████████████████████████████████████████████████████████████████| 1.00M/1.00M [02:10<00:00, 7.64k row/s] (pid=18548) - Map(map_fn): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 0.0B object store (in=0.0B,out=0.0B): 100%|████████████████████████████████████████████████████████████████████████████████████████████| 1.00M/1.00M [02:10<00:00, 7.64k row/s] (pid=18548) - split(16, equal=True): Tasks: 0; Actors: 0; Queued blocks: 0; Resources: 0.0 CPU, 63.7GB object store (in=0.0B,out=63.7GB); [locality disabled]: 100%|█████████████████████████████████████████████████████████| 1.00M/1.00M [02:10<00:00, 7.64k row/s] ``` **Fix** - When current Op is done, proactively drain the upstream Ops output queues and mark input done for that upstream Op. - Here you can observe that ReadFiles Op does not have object store resources locked up anymore. Screenshot 2025-09-19 at 9 48 04 AM ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Srinath Krishnamachari Signed-off-by: Douglas Strodtman --- .../execution/streaming_executor_state.py | 11 +++- python/ray/data/tests/test_operators.py | 56 +++++++++++++++++++ .../ray/data/tests/test_streaming_executor.py | 45 +++++++++++++++ 3 files changed, 111 insertions(+), 1 deletion(-) diff --git a/python/ray/data/_internal/execution/streaming_executor_state.py b/python/ray/data/_internal/execution/streaming_executor_state.py index 360fcc284919..9a8a9e0d417d 100644 --- a/python/ray/data/_internal/execution/streaming_executor_state.py +++ b/python/ray/data/_internal/execution/streaming_executor_state.py @@ -571,8 +571,17 @@ def update_operator_states(topology: Topology) -> None: """Update operator states accordingly for newly completed tasks. Should be called after `process_completed_tasks()`.""" - # Call inputs_done() on ops where no more inputs are coming. for op, op_state in topology.items(): + # Drain upstream output queue if current operator is execution finished. + # This is needed when the limit is reached, and `mark_execution_finished` + # is called manually. + if op.execution_finished(): + for idx, dep in enumerate(op.input_dependencies): + upstream_state = topology[dep] + # Drain upstream output queue + upstream_state.output_queue.clear() + + # Call inputs_done() on ops where no more inputs are coming. if op_state.inputs_done_called: continue all_inputs_done = True diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index 4b0720edd551..c1be4f198c94 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -7,6 +7,8 @@ import numpy as np import pandas as pd +import pyarrow as pa +import pyarrow.parquet as pq import pytest import ray @@ -40,7 +42,9 @@ from ray.data._internal.execution.operators.task_pool_map_operator import ( TaskPoolMapOperator, ) +from ray.data._internal.execution.streaming_executor import StreamingExecutor from ray.data._internal.execution.util import make_ref_bundles +from ray.data._internal.logical.optimizers import get_execution_plan from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.stats import Timer from ray.data.block import Block, BlockAccessor @@ -826,6 +830,58 @@ def test_limit_operator(ray_start_regular_shared): assert limit_op.completed(), limit +def test_limit_operator_memory_leak_fix(ray_start_regular_shared, tmp_path): + """Test that LimitOperator properly drains upstream output queues. + + This test verifies the memory leak fix by directly using StreamingExecutor + to access the actual topology and check queued blocks after execution. + """ + for i in range(100): + data = [{"id": i * 5 + j, "value": f"row_{i * 5 + j}"} for j in range(5)] + table = pa.Table.from_pydict( + {"id": [row["id"] for row in data], "value": [row["value"] for row in data]} + ) + parquet_file = tmp_path / f"test_data_{i}.parquet" + pq.write_table(table, str(parquet_file)) + + parquet_files = [str(tmp_path / f"test_data_{i}.parquet") for i in range(100)] + + ds = ( + ray.data.read_parquet(parquet_files, override_num_blocks=100) + .limit(5) + .map(lambda x: x) + ) + + execution_plan = ds._plan + physical_plan = get_execution_plan(execution_plan._logical_plan) + + # Use StreamingExecutor directly to have access to the actual topology + executor = StreamingExecutor(DataContext.get_current()) + output_iterator = executor.execute(physical_plan.dag) + + # Collect all results and count rows + total_rows = 0 + for bundle in output_iterator: + for block_ref in bundle.block_refs: + block = ray.get(block_ref) + total_rows += block.num_rows + assert ( + total_rows == 5 + ), f"Expected exactly 5 rows after limit(5), but got {total_rows}" + + # Find the ReadParquet operator's OpState + topology = executor._topology + read_parquet_op_state = None + for op, op_state in topology.items(): + if "ReadParquet" in op.name: + read_parquet_op_state = op_state + break + + # Check the output queue size + output_queue_size = len(read_parquet_op_state.output_queue) + assert output_queue_size == 0, f"Expected 0 items, but got {output_queue_size}." + + def _get_bundles(bundle: RefBundle): output = [] for block_ref in bundle.block_refs: diff --git a/python/ray/data/tests/test_streaming_executor.py b/python/ray/data/tests/test_streaming_executor.py index 274b5f10159d..cb0feeaae3b7 100644 --- a/python/ray/data/tests/test_streaming_executor.py +++ b/python/ray/data/tests/test_streaming_executor.py @@ -222,6 +222,51 @@ def test_process_completed_tasks(sleep_task_ref): o2.mark_execution_finished.assert_called_once() +def test_update_operator_states_drains_upstream(): + """Test that update_operator_states drains upstream output queues when + execution_finished() is called on a downstream operator. + """ + inputs = make_ref_bundles([[x] for x in range(10)]) + o1 = InputDataBuffer(DataContext.get_current(), inputs) + o2 = MapOperator.create( + make_map_transformer(lambda block: [b * -1 for b in block]), + o1, + DataContext.get_current(), + ) + o3 = MapOperator.create( + make_map_transformer(lambda block: [b * 2 for b in block]), + o2, + DataContext.get_current(), + ) + topo, _ = build_streaming_topology(o3, ExecutionOptions(verbose_progress=True)) + + # First, populate the upstream output queues by processing some tasks + process_completed_tasks(topo, [], 0) + update_operator_states(topo) + + # Verify that o1 (upstream) has output in its queue + assert ( + len(topo[o1].output_queue) > 0 + ), "Upstream operator should have output in queue" + + # Store initial queue size for verification + initial_o1_queue_size = len(topo[o1].output_queue) + + # Manually mark o2 as execution finished (simulating limit operator behavior) + o2.mark_execution_finished() + assert o2.execution_finished(), "o2 should be execution finished" + + # Call update_operator_states - this should drain o1's output queue + update_operator_states(topo) + + # Verify that o1's output queue was drained due to o2 being execution finished + assert len(topo[o1].output_queue) == 0, ( + f"Upstream operator o1 output queue should be drained when downstream o2 is execution finished. " + f"Expected 0, got {len(topo[o1].output_queue)}. " + f"Initial size was {initial_o1_queue_size}" + ) + + def test_get_eligible_operators_to_run(): opts = ExecutionOptions() inputs = make_ref_bundles([[x] for x in range(1)]) From 76a78312d9d2013a2809a69c73b7e4be0709b69b Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Thu, 25 Sep 2025 20:55:32 -0400 Subject: [PATCH 1412/1566] [Data] Make test ordering deterministic (#56898) ## Why are these changes needed? Fixing flakiness in `test_split.py` ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- python/ray/data/tests/test_split.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/data/tests/test_split.py b/python/ray/data/tests/test_split.py index 7865bc7beea1..e0814343a377 100644 --- a/python/ray/data/tests/test_split.py +++ b/python/ray/data/tests/test_split.py @@ -258,10 +258,13 @@ def test_split_at_indices_simple(ray_start_regular_shared_2_cpus): ], ) def test_split_at_indices_coverage( - ray_start_regular_shared_2_cpus, num_blocks, indices + ray_start_regular_shared_2_cpus, num_blocks, indices, restore_data_context ): # Test that split_at_indices() creates the expected splits on a set of partition and # indices configurations. + + DataContext.get_current().execution_options.preserve_order = True + ds = ray.data.range(20, override_num_blocks=num_blocks) splits = ds.split_at_indices(indices) r = [extract_values("id", s.sort("id").take_all()) for s in splits] From 90d60d2769af661ad6901c0f1141f6b121d1efbc Mon Sep 17 00:00:00 2001 From: Philipp Moritz Date: Thu, 25 Sep 2025 19:37:37 -0700 Subject: [PATCH 1413/1566] [core] Remove TagKey cython wrapper (#56939) ## Why are these changes needed? As pointed out in https://github.com/ray-project/ray/pull/55066, this currently doesn't seem to be used (the wrappers directly use c++ strings). ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Douglas Strodtman --- python/ray/includes/metric.pxd | 6 ------ python/ray/includes/metric.pxi | 13 ------------- 2 files changed, 19 deletions(-) diff --git a/python/ray/includes/metric.pxd b/python/ray/includes/metric.pxd index a88e0351e6bb..5135c56db421 100644 --- a/python/ray/includes/metric.pxd +++ b/python/ray/includes/metric.pxd @@ -2,12 +2,6 @@ from libcpp.string cimport string as c_string from libcpp.vector cimport vector as c_vector from libcpp.pair cimport pair as c_pair -cdef extern from "opencensus/tags/tag_key.h" nogil: - cdef cppclass CTagKey "opencensus::tags::TagKey": - @staticmethod - CTagKey Register(c_string &name) - const c_string &name() const - cdef extern from "ray/stats/metric.h" nogil: cdef cppclass CMetric "ray::stats::Metric": CMetric(const c_string &name, diff --git a/python/ray/includes/metric.pxi b/python/ray/includes/metric.pxi index acf03192d207..8cb4aae17538 100644 --- a/python/ray/includes/metric.pxi +++ b/python/ray/includes/metric.pxi @@ -2,7 +2,6 @@ from ray.includes.metric cimport ( CCount, CGauge, CHistogram, - CTagKey, CSum, CMetric, ) @@ -12,18 +11,6 @@ from libcpp.string cimport string as c_string from libcpp.vector cimport vector as c_vector from libcpp.pair cimport pair as c_pair -cdef class TagKey: - """Cython wrapper class of C++ `opencensus::stats::TagKey`.""" - cdef c_string name - - def __init__(self, name): - self.name = name.encode("ascii") - CTagKey.Register(self.name) - - def name(self): - return self.name - - cdef class Metric: """Cython wrapper class of C++ `ray::stats::Metric`. From ff32fa00b4a827eb6f9ee3274b9f31ac616c8ef1 Mon Sep 17 00:00:00 2001 From: Alexey Kudinkin Date: Fri, 26 Sep 2025 03:33:46 -0400 Subject: [PATCH 1414/1566] [Data] Prefixed all Data related tests w/ `data` prefix (#56917) ## Why are these changes needed? Subject ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Alexey Kudinkin Signed-off-by: Douglas Strodtman --- release/release_data_tests.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index fa19c2a32e59..3225c6ff7a53 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -1,5 +1,5 @@ - name: DEFAULTS - group: data-tests + group: data-base working_dir: nightly_tests/dataset frequency: nightly @@ -485,7 +485,7 @@ # 300 GB image classification parquet data up to 10 GPUs # 10 g4dn.12xlarge. - name: "image_classification_{{scaling}}" - group: batch-inference + group: data-batch-inference cluster: cluster_compute: "{{scaling}}_gpu_compute.yaml" @@ -505,7 +505,7 @@ # Don't use 'nightly_tests/dataset' as the working directory because we need to run # the 'setup_chaos.py' script. working_dir: nightly_tests - group: batch-inference + group: data-batch-inference cluster: cluster_compute: dataset/autoscaling_gpu_compute.yaml @@ -520,7 +520,7 @@ - name: image_classification_chaos_no_scale_back stable: False working_dir: nightly_tests - group: batch-inference + group: data-batch-inference cluster: cluster_compute: dataset/autoscaling_gpu_compute.yaml @@ -535,7 +535,7 @@ - name: image_embedding_from_uris_{{case}} frequency: weekly - group: batch-inference + group: data-batch-inference matrix: setup: @@ -566,7 +566,7 @@ - name: image_embedding_from_jsonl_{{case}} frequency: weekly - group: batch-inference + group: data-batch-inference matrix: setup: @@ -598,7 +598,7 @@ - name: text_embedding_{{case}} frequency: weekly - group: batch-inference + group: data-batch-inference matrix: setup: From 8d9b79b9eb6f9f845c33b1235062da53e630847f Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 26 Sep 2025 07:09:42 -0700 Subject: [PATCH 1415/1566] [image] add ~/.local/bin to PATH in slim image (#56920) common convention Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- docker/base-slim/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/base-slim/Dockerfile b/docker/base-slim/Dockerfile index 96477e2096fc..bd1789e56cd7 100644 --- a/docker/base-slim/Dockerfile +++ b/docker/base-slim/Dockerfile @@ -142,7 +142,7 @@ mkdir -p /tmp/supervisord EOF -ENV PATH="/home/ray/anaconda3/bin:$PATH" +ENV PATH="/home/ray/.local/bin:/home/ray/anaconda3/bin:$PATH" # --- HAProxy Build Stage --- FROM $BASE_IMAGE AS haproxy-builder From 86844c498dbe296debecdf189f1057e58798647c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 26 Sep 2025 07:09:58 -0700 Subject: [PATCH 1416/1566] [ci] add release_wheels tag for ray core and dashboard bits (#56919) so that they will be built for every commit Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 85795cc56721..654512fd3f9b 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -12,11 +12,13 @@ steps: env: PYTHON_VERSION: "{{matrix}}" ARCH_SUFFIX: "" + tags: release_wheels depends_on: manylinux - name: ray-dashboard-build label: "wanda: dashboard" wanda: ci/docker/ray-dashboard.wanda.yaml + tags: release_wheels depends_on: manylinux - label: ":tapioca: build: wheel {{matrix}} (x86_64)" From be4fac813a73e601642f48cd7db28c94c54570c1 Mon Sep 17 00:00:00 2001 From: Rueian Date: Sat, 27 Sep 2025 02:27:30 +0800 Subject: [PATCH 1417/1566] [core][doc][autoscaler] Add threading requirement to NodeProvider interface (#56349) This is a follow-up to https://github.com/ray-project/ray/pull/56007#issuecomment-3246202329 Signed-off-by: Rueian Signed-off-by: Douglas Strodtman --- python/ray/autoscaler/node_provider.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/python/ray/autoscaler/node_provider.py b/python/ray/autoscaler/node_provider.py index fec6fd619058..5565a7a4774e 100644 --- a/python/ray/autoscaler/node_provider.py +++ b/python/ray/autoscaler/node_provider.py @@ -25,6 +25,17 @@ class NodeProvider: Nodes may be in one of three states: {pending, running, terminated}. Nodes appear immediately once started by `create_node`, and transition immediately to terminated when `terminate_node` is called. + + Threading and concurrency: + - The autoscaler calls the following methods from multiple threads + (NodeLauncher, NodeUpdaterThread, autoscaler main loop, and + NodeProviderAdapter executors). + - These methods MUST be thread-safe: + non_terminated_nodes, is_running, is_terminated, node_tags, internal_ip, + external_ip, get_node_id, create_node/create_node_with_resources_and_labels, + set_node_tags, terminate_node/terminate_nodes. + + TODO (rueian): make sure all the existing implementations are thread-safe. """ def __init__(self, provider_config: Dict[str, Any], cluster_name: str) -> None: From 12688a93067f5fb07d12126bdd7999cacd7b4a73 Mon Sep 17 00:00:00 2001 From: Ping Dai Date: Sat, 27 Sep 2025 03:00:03 +0800 Subject: [PATCH 1418/1566] [Core] Fix the bug in memray regarding the default configuration of -o {output_file_path}. (#56732) The issue phenomenon is as described in issue #56731. The cause is that Ray, by default, configures the `-o {output_file_path} ` argument when launching memray, but memray does not allow using `--live` together with `-o`. Therefore, we have modified the default configuration of the `-o {output_file_path} `argument by adding a constraint. The default output path will only be added if neither `--live` nor any output option `(-o/--output)` is present. Closes #56731 --------- Signed-off-by: daiping8 Signed-off-by: Edward Oakes Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/_private/services.py | 5 ++- python/ray/tests/test_debug_tools.py | 47 ++++++++++++++++++++++++---- 2 files changed, 45 insertions(+), 7 deletions(-) diff --git a/python/ray/_private/services.py b/python/ray/_private/services.py index 5bc0efcecede..a6837fe2d3dd 100644 --- a/python/ray/_private/services.py +++ b/python/ray/_private/services.py @@ -173,7 +173,10 @@ def _build_python_executable_command_memory_profileable( output_file_path = profile_dir / f"{session_name}_memory_{component}.bin" options = os.getenv(RAY_MEMRAY_PROFILE_OPTIONS_ENV, None) options = options.split(",") if options else [] - command.extend(["-m", "memray", "run", "-o", str(output_file_path), *options]) + # If neither --live nor any output option (-o/--output) is specified, add the default output path + if not any(opt in options for opt in ("--live", "-o", "--output")): + options[0:0] = ["-o", str(output_file_path)] + command.extend(["-m", "memray", "run", *options]) return command diff --git a/python/ray/tests/test_debug_tools.py b/python/ray/tests/test_debug_tools.py index 4a3a60cbf46c..54697d48efa0 100644 --- a/python/ray/tests/test_debug_tools.py +++ b/python/ray/tests/test_debug_tools.py @@ -81,6 +81,47 @@ def test_memory_profiler_command_builder(monkeypatch, tmp_path): ), # noqa "-q", ] + + # Test with explicit -o path + m.delenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV) + m.delenv(services.RAY_MEMRAY_PROFILE_OPTIONS_ENV) + m.setenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV, "dashboard") + m.setenv(services.RAY_MEMRAY_PROFILE_OPTIONS_ENV, "-o,/custom/path.bin,-q") + command = services._build_python_executable_command_memory_profileable( + ray_constants.PROCESS_TYPE_DASHBOARD, session_dir + ) + assert command == [ + sys.executable, + "-u", + "-m", + "memray", + "run", + "-o", + "/custom/path.bin", + "-q", + ] + + # Test with explicit --output path + m.delenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV) + m.delenv(services.RAY_MEMRAY_PROFILE_OPTIONS_ENV) + m.setenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV, "dashboard") + m.setenv( + services.RAY_MEMRAY_PROFILE_OPTIONS_ENV, "--output,/custom/path.bin,-q" + ) + command = services._build_python_executable_command_memory_profileable( + ray_constants.PROCESS_TYPE_DASHBOARD, session_dir + ) + assert command == [ + sys.executable, + "-u", + "-m", + "memray", + "run", + "--output", + "/custom/path.bin", + "-q", + ] + m.delenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV) m.delenv(services.RAY_MEMRAY_PROFILE_OPTIONS_ENV) m.setenv(services.RAY_MEMRAY_PROFILE_COMPONENT_ENV, "dashboard,dashboard_agent") @@ -94,12 +135,6 @@ def test_memory_profiler_command_builder(monkeypatch, tmp_path): "-m", "memray", "run", - "-o", - str( - Path(tmp_path) - / "profile" - / f"{Path(tmp_path).name}_memory_dashboard_agent.bin" - ), # noqa "-q", "--live", "--live-port", From 6677e49e663ef4ba704b1cdee0f5dd994a304747 Mon Sep 17 00:00:00 2001 From: Goutam Date: Fri, 26 Sep 2025 12:53:46 -0700 Subject: [PATCH 1419/1566] [Data] - Add shuffle aggregation type to JoinOperator (#56945) ## Why are these changes needed? Add shuffle aggregation type to join operator. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- .../ray/data/_internal/execution/operators/join.py | 13 +++++++++++-- python/ray/data/dataset.py | 7 ++++--- 2 files changed, 15 insertions(+), 5 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 80423992eb6d..4a65f1dee4ad 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -1,6 +1,6 @@ import logging import math -from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Type from ray._private.arrow_utils import get_pyarrow_version from ray.air.util.transform_pyarrow import _is_pa_extension_type @@ -345,7 +345,16 @@ def __init__( right_columns_suffix: Optional[str] = None, partition_size_hint: Optional[int] = None, aggregator_ray_remote_args_override: Optional[Dict[str, Any]] = None, + shuffle_aggregation_type: Optional[Type[StatefulShuffleAggregation]] = None, ): + if shuffle_aggregation_type is not None: + if not issubclass(shuffle_aggregation_type, StatefulShuffleAggregation): + raise TypeError( + f"shuffle_aggregation_type must be a subclass of StatefulShuffleAggregation, " + f"got {shuffle_aggregation_type}" + ) + + aggregation_class = shuffle_aggregation_type or JoiningShuffleAggregation super().__init__( name_factory=( lambda num_partitions: f"Join(num_partitions={num_partitions})" @@ -356,7 +365,7 @@ def __init__( num_partitions=num_partitions, partition_size_hint=partition_size_hint, partition_aggregation_factory=( - lambda aggregator_id, target_partition_ids: JoiningShuffleAggregation( + lambda aggregator_id, target_partition_ids: aggregation_class( aggregator_id=aggregator_id, join_type=join_type, left_key_col_names=left_key_columns, diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 509b1ad24f51..46c48037cd1b 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -2757,7 +2757,7 @@ def unique(self, column: str) -> List[Any]: >>> import ray >>> ds = ray.data.from_items([1, 2, 3, 2, 3]) - >>> ds.unique("item") + >>> sorted(ds.unique("item")) [1, 2, 3] This function is very useful for computing labels @@ -3032,11 +3032,12 @@ def std( >>> import ray >>> round(ray.data.range(100).std("id", ddof=0), 5) 28.86607 - >>> ray.data.from_items([ + >>> result = ray.data.from_items([ ... {"A": i, "B": i**2} ... for i in range(100) ... ]).std(["A", "B"]) - {'std(A)': 29.011491975882016, 'std(B)': 2968.1748039269296} + >>> [(key, round(value, 10)) for key, value in result.items()] + [('std(A)', 29.0114919759), ('std(B)', 2968.1748039269)] Args: on: a column name or a list of column names to aggregate. From a33dcbcc5cc4d5eb8751a79c24cdb73fa9427262 Mon Sep 17 00:00:00 2001 From: Goutam Date: Fri, 26 Sep 2025 13:33:21 -0700 Subject: [PATCH 1420/1566] [Data] - Enable per block limiting for Limit Operator (#55239) ## Why are these changes needed? Limit operator optimization. When the limit operator is set to K, ensure to limit the number of rows read per block and bound it by K. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: Goutam V Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 14 -- .../datasource/bigquery_datasource.py | 5 +- .../datasource/clickhouse_datasource.py | 10 +- .../datasource/databricks_uc_datasource.py | 21 +- .../datasource/delta_sharing_datasource.py | 5 +- .../_internal/datasource/hudi_datasource.py | 5 +- .../datasource/huggingface_datasource.py | 2 + .../datasource/iceberg_datasource.py | 5 +- .../_internal/datasource/lance_datasource.py | 7 +- .../_internal/datasource/mongo_datasource.py | 5 +- .../datasource/parquet_datasource.py | 5 +- .../_internal/datasource/range_datasource.py | 2 + .../_internal/datasource/sql_datasource.py | 8 +- .../_internal/datasource/torch_datasource.py | 7 +- .../execution/operators/map_operator.py | 68 ++++++ .../logical/operators/map_operator.py | 33 ++- .../logical/operators/read_operator.py | 13 ++ .../_internal/logical/rules/limit_pushdown.py | 150 +++++++------- .../data/_internal/planner/plan_read_op.py | 7 +- .../data/_internal/planner/plan_udf_map_op.py | 1 + python/ray/data/dataset.py | 10 + python/ray/data/datasource/datasource.py | 44 +++- .../data/datasource/file_based_datasource.py | 8 +- python/ray/data/datasource/util.py | 28 +++ python/ray/data/tests/test_consumption.py | 195 ++++++++++++++++++ python/ray/data/tests/test_delta_sharing.py | 6 +- .../data/tests/test_dynamic_block_split.py | 6 +- .../data/tests/test_execution_optimizer.py | 82 +++++++- python/ray/data/tests/test_operators.py | 42 ++++ 29 files changed, 664 insertions(+), 130 deletions(-) create mode 100644 python/ray/data/datasource/util.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 2db9ea1e73e1..062694332625 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1172,10 +1172,6 @@ python/ray/data/_internal/logical/operators/join_operator.py DOC103: Method `Join.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [aggregator_ray_remote_args: Optional[Dict[str, Any]], join_type: str, left_columns_suffix: Optional[str], left_input_op: LogicalOperator, left_key_columns: Tuple[str], num_partitions: int, partition_size_hint: Optional[int], right_columns_suffix: Optional[str], right_input_op: LogicalOperator, right_key_columns: Tuple[str]]. -------------------- python/ray/data/_internal/logical/operators/map_operator.py - DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" - DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) - DOC101: Method `AbstractMap.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `AbstractMap.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [compute: Optional[ComputeStrategy], input_op: Optional[LogicalOperator], min_rows_per_bundled_input: Optional[int], name: str, num_outputs: Optional[int], ray_remote_args: Optional[Dict[str, Any]], ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]]]. DOC001: Method `__init__` Potential formatting errors in docstring. Error message: No specification for "Args": "" DOC001: Function/method `__init__`: Potential formatting errors in docstring. Error message: No specification for "Args": "" (Note: DOC001 could trigger other unrelated violations under this function/method too. Please fix the docstring formatting first.) DOC101: Method `AbstractUDFMap.__init__`: Docstring contains fewer arguments than in function signature. @@ -1288,17 +1284,7 @@ python/ray/data/dataset.py DOC201: Method `Dataset.to_random_access_dataset` does not have a return section in docstring DOC201: Method `Dataset.stats` does not have a return section in docstring DOC201: Method `Dataset.has_serializable_lineage` does not have a return section in docstring - DOC101: Method `Dataset._repr_mimebundle_`: Docstring contains fewer arguments than in function signature. DOC106: Method `Dataset._repr_mimebundle_`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC103: Method `Dataset._repr_mimebundle_`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: ]. - DOC101: Method `Schema.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `Schema.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [base_schema: Union['pyarrow.lib.Schema', 'PandasBlockSchema'], data_context: Optional[DataContext]]. --------------------- -python/ray/data/datasource/datasource.py - DOC102: Method `Reader.get_read_tasks`: Docstring contains more arguments than in function signature. - DOC103: Method `Reader.get_read_tasks`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the docstring but not in the function signature: [read_args: ]. - DOC101: Method `RandomIntRowDatasource.__init__`: Docstring contains fewer arguments than in function signature. - DOC103: Method `RandomIntRowDatasource.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [n: int, num_columns: int]. -------------------- python/ray/data/datasource/file_datasink.py DOC101: Method `_FileDatasink.__init__`: Docstring contains fewer arguments than in function signature. diff --git a/python/ray/data/_internal/datasource/bigquery_datasource.py b/python/ray/data/_internal/datasource/bigquery_datasource.py index baf36931a2e9..e2e01ec70a03 100644 --- a/python/ray/data/_internal/datasource/bigquery_datasource.py +++ b/python/ray/data/_internal/datasource/bigquery_datasource.py @@ -68,7 +68,9 @@ def __init__( + "(must be mutually exclusive)." ) - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: from google.cloud import bigquery_storage def _read_single_partition(stream) -> Block: @@ -125,6 +127,7 @@ def _read_single_partition(stream) -> Block: read_task = ReadTask( lambda stream=stream: [_read_single_partition(stream)], metadata, + per_task_row_limit=per_task_row_limit, ) read_tasks.append(read_task) diff --git a/python/ray/data/_internal/datasource/clickhouse_datasource.py b/python/ray/data/_internal/datasource/clickhouse_datasource.py index 692777566fe4..b82ec4bf7d0c 100644 --- a/python/ray/data/_internal/datasource/clickhouse_datasource.py +++ b/python/ray/data/_internal/datasource/clickhouse_datasource.py @@ -257,7 +257,9 @@ def estimate_inmemory_data_size(self) -> Optional[int]: """ return self._get_estimate_size() - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: """ Create read tasks for the ClickHouse query. @@ -265,7 +267,10 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: parallelism: The desired number of partitions to read the data into. - If ``order_by`` is not set, parallelism will be forced to 1. - If ``filter`` is set, parallelism will also be forced to 1 - to ensure deterministic results. + to ensure deterministic results. + per_task_row_limit: Maximum number of rows allowed in each emitted + task. Blocks larger than this limit will be sliced before + being yielded downstream. Returns: A list of read tasks to be executed. @@ -327,6 +332,7 @@ def _get_read_task( exec_stats=None, ), schema=sample_block_schema, + per_task_row_limit=per_task_row_limit, ) if parallelism == 1: diff --git a/python/ray/data/_internal/datasource/databricks_uc_datasource.py b/python/ray/data/_internal/datasource/databricks_uc_datasource.py index b42a488b7dd3..1a5232bd21a3 100644 --- a/python/ray/data/_internal/datasource/databricks_uc_datasource.py +++ b/python/ray/data/_internal/datasource/databricks_uc_datasource.py @@ -115,7 +115,9 @@ def __init__( self.num_chunks = num_chunks self._estimate_inmemory_data_size = sum(chunk["byte_count"] for chunk in chunks) - def get_read_task(task_index, parallelism): + def get_read_task( + task_index: int, parallelism: int, per_task_row_limit: Optional[int] = None + ): # Handle empty chunk list by yielding an empty PyArrow table if num_chunks == 0: import pyarrow as pa @@ -187,17 +189,23 @@ def read_fn(): else: yield from _read_fn() - return ReadTask(read_fn=read_fn, metadata=metadata) + return ReadTask( + read_fn=read_fn, + metadata=metadata, + per_task_row_limit=per_task_row_limit, + ) self._get_read_task = get_read_task def estimate_inmemory_data_size(self) -> Optional[int]: return self._estimate_inmemory_data_size - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: # Handle empty dataset case if self.num_chunks == 0: - return [self._get_read_task(0, 1)] + return [self._get_read_task(0, 1, per_task_row_limit)] assert parallelism > 0, f"Invalid parallelism {parallelism}" @@ -208,4 +216,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: "insufficient chunk parallelism." ) - return [self._get_read_task(index, parallelism) for index in range(parallelism)] + return [ + self._get_read_task(index, parallelism, per_task_row_limit) + for index in range(parallelism) + ] diff --git a/python/ray/data/_internal/datasource/delta_sharing_datasource.py b/python/ray/data/_internal/datasource/delta_sharing_datasource.py index 5a11362df77d..de7dcaecbf36 100644 --- a/python/ray/data/_internal/datasource/delta_sharing_datasource.py +++ b/python/ray/data/_internal/datasource/delta_sharing_datasource.py @@ -62,7 +62,9 @@ def setup_delta_sharing_connections(self, url: str): rest_client = DataSharingRestClient(profile) return table, rest_client - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: assert parallelism > 0, f"Invalid parallelism {parallelism}" from delta_sharing.converter import to_converters @@ -95,6 +97,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: read_task = ReadTask( lambda f=files: self._read_files(f, converters), metadata, + per_task_row_limit=per_task_row_limit, ) read_tasks.append(read_task) diff --git a/python/ray/data/_internal/datasource/hudi_datasource.py b/python/ray/data/_internal/datasource/hudi_datasource.py index 0cef779cd171..800c747798e4 100644 --- a/python/ray/data/_internal/datasource/hudi_datasource.py +++ b/python/ray/data/_internal/datasource/hudi_datasource.py @@ -38,7 +38,9 @@ def __init__( self._hudi_options = hudi_options or {} self._storage_options = storage_options or {} - def get_read_tasks(self, parallelism: int) -> List["ReadTask"]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List["ReadTask"]: import numpy as np import pyarrow from hudi import HudiTableBuilder @@ -135,6 +137,7 @@ def _perform_read( ), metadata=metadata, schema=schema, + per_task_row_limit=per_task_row_limit, ) read_tasks.append(read_task) diff --git a/python/ray/data/_internal/datasource/huggingface_datasource.py b/python/ray/data/_internal/datasource/huggingface_datasource.py index 6ef58eda106f..54ebaea3f963 100644 --- a/python/ray/data/_internal/datasource/huggingface_datasource.py +++ b/python/ray/data/_internal/datasource/huggingface_datasource.py @@ -165,6 +165,7 @@ def _read_dataset(self) -> Iterable[Block]: def get_read_tasks( self, parallelism: int, + per_task_row_limit: Optional[int] = None, ) -> List[ReadTask]: # Note: `parallelism` arg is currently not used by HuggingFaceDatasource. # We always generate a single ReadTask to perform the read. @@ -184,6 +185,7 @@ def get_read_tasks( ReadTask( self._read_dataset, meta, + per_task_row_limit=per_task_row_limit, ) ] return read_tasks diff --git a/python/ray/data/_internal/datasource/iceberg_datasource.py b/python/ray/data/_internal/datasource/iceberg_datasource.py index 4ec52b7100ce..384a524240bf 100644 --- a/python/ray/data/_internal/datasource/iceberg_datasource.py +++ b/python/ray/data/_internal/datasource/iceberg_datasource.py @@ -208,7 +208,9 @@ def _distribute_tasks_into_equal_chunks( return chunks - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: from pyiceberg.io import pyarrow as pyi_pa_io from pyiceberg.manifest import DataFileContent @@ -284,6 +286,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: read_fn=lambda tasks=chunk_tasks: get_read_task(tasks), metadata=metadata, schema=pya_schema, + per_task_row_limit=per_task_row_limit, ) ) diff --git a/python/ray/data/_internal/datasource/lance_datasource.py b/python/ray/data/_internal/datasource/lance_datasource.py index 7eeaa2bf8dcb..389d21a37d11 100644 --- a/python/ray/data/_internal/datasource/lance_datasource.py +++ b/python/ray/data/_internal/datasource/lance_datasource.py @@ -57,7 +57,9 @@ def __init__( "max_backoff_s": self.READ_FRAGMENTS_RETRY_MAX_BACKOFF_SECONDS, } - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: read_tasks = [] ds_fragments = self.scanner_options.get("fragments") if ds_fragments is None: @@ -76,8 +78,8 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: # TODO(chengsu): Take column projection into consideration for schema. metadata = BlockMetadata( num_rows=num_rows, - input_files=input_files, size_bytes=None, + input_files=input_files, exec_stats=None, ) scanner_options = self.scanner_options @@ -93,6 +95,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: ), metadata, schema=fragments[0].schema, + per_task_row_limit=per_task_row_limit, ) read_tasks.append(read_task) return read_tasks diff --git a/python/ray/data/_internal/datasource/mongo_datasource.py b/python/ray/data/_internal/datasource/mongo_datasource.py index 221840191429..58b57abd735e 100644 --- a/python/ray/data/_internal/datasource/mongo_datasource.py +++ b/python/ray/data/_internal/datasource/mongo_datasource.py @@ -55,7 +55,9 @@ def _get_or_create_client(self): "collstats", self._collection )["avgObjSize"] - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: from bson.objectid import ObjectId self._get_or_create_client() @@ -124,6 +126,7 @@ def make_block( read_task = ReadTask( lambda args=make_block_args: [make_block(*args)], metadata, + per_task_row_limit=per_task_row_limit, ) read_tasks.append(read_task) diff --git a/python/ray/data/_internal/datasource/parquet_datasource.py b/python/ray/data/_internal/datasource/parquet_datasource.py index 60c4eb785873..feecbb846805 100644 --- a/python/ray/data/_internal/datasource/parquet_datasource.py +++ b/python/ray/data/_internal/datasource/parquet_datasource.py @@ -329,7 +329,9 @@ def estimate_inmemory_data_size(self) -> int: return self._estimate_in_mem_size(self._pq_fragments) - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: # NOTE: We override the base class FileBasedDatasource.get_read_tasks() # method in order to leverage pyarrow's ParquetDataset abstraction, # which simplifies partitioning logic. We still use @@ -406,6 +408,7 @@ def get_read_tasks(self, parallelism: int) -> List[ReadTask]: ), meta, schema=target_schema, + per_task_row_limit=per_task_row_limit, ) ) diff --git a/python/ray/data/_internal/datasource/range_datasource.py b/python/ray/data/_internal/datasource/range_datasource.py index 0558e5fd9d06..06cd98768c2c 100644 --- a/python/ray/data/_internal/datasource/range_datasource.py +++ b/python/ray/data/_internal/datasource/range_datasource.py @@ -35,6 +35,7 @@ def estimate_inmemory_data_size(self) -> Optional[int]: def get_read_tasks( self, parallelism: int, + per_task_row_limit: Optional[int] = None, ) -> List[ReadTask]: if self._n == 0: return [] @@ -110,6 +111,7 @@ def make_blocks( ), meta, schema=self._schema, + per_task_row_limit=per_task_row_limit, ) ) i += block_size diff --git a/python/ray/data/_internal/datasource/sql_datasource.py b/python/ray/data/_internal/datasource/sql_datasource.py index f955d03f8d25..2ac48f0b343f 100644 --- a/python/ray/data/_internal/datasource/sql_datasource.py +++ b/python/ray/data/_internal/datasource/sql_datasource.py @@ -121,7 +121,9 @@ def supports_sharding(self, parallelism: int) -> bool: logger.info(f"Database does not support sharding: {str(e)}.") return False - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: def fallback_read_fn() -> Iterable[Block]: """Read all data in a single block when sharding is not supported.""" with _connect(self.connection_factory) as cursor: @@ -162,7 +164,9 @@ def fallback_read_fn() -> Iterable[Block]: input_files=None, exec_stats=None, ) - tasks.append(ReadTask(read_fn, metadata)) + tasks.append( + ReadTask(read_fn, metadata, per_task_row_limit=per_task_row_limit) + ) return tasks diff --git a/python/ray/data/_internal/datasource/torch_datasource.py b/python/ray/data/_internal/datasource/torch_datasource.py index 03e8a050f506..69145f995b1d 100644 --- a/python/ray/data/_internal/datasource/torch_datasource.py +++ b/python/ray/data/_internal/datasource/torch_datasource.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Optional from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder from ray.data.block import BlockMetadata @@ -23,7 +23,9 @@ def __init__( ): self._dataset = dataset - def get_read_tasks(self, parallelism): + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ): assert parallelism == 1 meta = BlockMetadata( @@ -39,6 +41,7 @@ def get_read_tasks(self, parallelism): subset, ), metadata=meta, + per_task_row_limit=per_task_row_limit, ) return [read_task] diff --git a/python/ray/data/_internal/execution/operators/map_operator.py b/python/ray/data/_internal/execution/operators/map_operator.py index 05b51d511917..34ee0f2f7773 100644 --- a/python/ray/data/_internal/execution/operators/map_operator.py +++ b/python/ray/data/_internal/execution/operators/map_operator.py @@ -179,6 +179,7 @@ def create( map_task_kwargs: Optional[Dict[str, Any]] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, + per_block_limit: Optional[int] = None, ) -> "MapOperator": """Create a MapOperator. @@ -208,10 +209,17 @@ def create( always override the args in ``ray_remote_args``. Note: this is an advanced, experimental feature. ray_remote_args: Customize the :func:`ray.remote` args for this op's tasks. + per_block_limit: Maximum number of rows to process per block, for early termination. """ if compute_strategy is None: compute_strategy = TaskPoolStrategy() + # Apply per-block limit to the map transformer if set + if per_block_limit is not None: + map_transformer = _wrap_transformer_with_limit( + map_transformer, per_block_limit + ) + if isinstance(compute_strategy, TaskPoolStrategy): from ray.data._internal.execution.operators.task_pool_map_operator import ( TaskPoolMapOperator, @@ -808,3 +816,63 @@ def _split_blocks(blocks: Iterable[Block], split_factor: float) -> Iterable[Bloc for size in split_sizes: yield block.slice(offset, offset + size, copy=False) offset += size + + +def _wrap_transformer_with_limit( + map_transformer: MapTransformer, per_block_limit: int +) -> MapTransformer: + """Wrap a MapTransformer with per-block limit functionality.""" + + # Create a new limit transform function that goes at the end + limit_transform_fn = _create_per_block_limit_transform_fn(per_block_limit) + + # Add the limit transform as the last step + # Appending at the end so that the cap applies to the final output + # blocks after all prior transforms. + existing_transform_fns = map_transformer.get_transform_fns() + new_transform_fns = existing_transform_fns + [limit_transform_fn] + + # Create new transformer with the limit added + # TODO: Modify `add_transform_fns` to do this operation internally instead of modifying in place. + new_transformer = MapTransformer( + new_transform_fns, + init_fn=map_transformer._init_fn, + output_block_size_option_override=map_transformer._output_block_size_option_override, + ) + + return new_transformer + + +def _per_block_limit_fn( + input: Iterable[Block], ctx: TaskContext, per_block_limit: int +) -> Iterable[Block]: + """Apply per-block limit to the input blocks.""" + from ray.data.block import BlockAccessor + + # This is used to track the number of rows processed within this task. + processed_rows = 0 + + for block in input: + if processed_rows >= per_block_limit: + # We've hit the limit, stop processing + break + + block_accessor = BlockAccessor.for_block(block) + block_rows = block_accessor.num_rows() + + if processed_rows + block_rows <= per_block_limit: + # Entire block fits within limit + processed_rows += block_rows + yield block + else: + # Need to truncate this block + remaining_rows = per_block_limit - processed_rows + truncated_block = block_accessor.slice(0, remaining_rows, copy=False) + processed_rows += remaining_rows + yield truncated_block + + +def _create_per_block_limit_transform_fn(per_block_limit: int) -> BlockMapTransformFn: + """Create a transform function that applies per-block row limits.""" + limit_fn = functools.partial(_per_block_limit_fn, per_block_limit=per_block_limit) + return BlockMapTransformFn(limit_fn) diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index 6b1bcefba5ad..1d8ee48ad765 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -33,27 +33,38 @@ def __init__( ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, compute: Optional[ComputeStrategy] = None, ): - """ + """Initialize an ``AbstractMap`` logical operator that will later + be converted into a physical ``MapOperator``. + Args: name: Name for this operator. This is the name that will appear when inspecting the logical plan of a Dataset. - input_op: The operator preceding this operator in the plan DAG. The outputs - of `input_op` will be the inputs to this operator. - min_rows_per_bundled_input: Min number of rows a single bundle of blocks - passed on to the task must possess. + input_op: The operator preceding this operator in the plan DAG. The + outputs of ``input_op`` will be the inputs to this operator. + num_outputs: Number of outputs for this operator. + min_rows_per_bundled_input: Minimum number of rows a single bundle of + blocks passed on to the task must possess. ray_remote_args: Args to provide to :func:`ray.remote`. - ray_remote_args_fn: A function that returns a dictionary of remote args - passed to each map worker. The purpose of this argument is to generate - dynamic arguments for each actor/task, and will be called each time - prior to initializing the worker. Args returned from this dict - always override the args in ``ray_remote_args``. Note: this is an - advanced, experimental feature. + ray_remote_args_fn: A function that returns a dictionary of remote + args passed to each map worker. The purpose of this argument is + to generate dynamic arguments for each actor/task, and it will + be called each time prior to initializing the worker. Args + returned from this dict always override the args in + ``ray_remote_args``. Note: this is an advanced, experimental + feature. + compute: The compute strategy, either ``TaskPoolStrategy`` (default) + to use Ray tasks, or ``ActorPoolStrategy`` to use an + autoscaling actor pool. """ super().__init__(name, input_op, num_outputs) self._min_rows_per_bundled_input = min_rows_per_bundled_input self._ray_remote_args = ray_remote_args or {} self._ray_remote_args_fn = ray_remote_args_fn self._compute = compute or TaskPoolStrategy() + self._per_block_limit = None + + def set_per_block_limit(self, per_block_limit: int): + self._per_block_limit = per_block_limit class AbstractUDFMap(AbstractMap): diff --git a/python/ray/data/_internal/logical/operators/read_operator.py b/python/ray/data/_internal/logical/operators/read_operator.py index 43a10cc0fd7e..38ee615ffe39 100644 --- a/python/ray/data/_internal/logical/operators/read_operator.py +++ b/python/ray/data/_internal/logical/operators/read_operator.py @@ -19,6 +19,7 @@ class Read(AbstractMap, SourceOperator, LogicalOperatorSupportsProjectionPushdown): """Logical operator for read.""" + # TODO: make this a frozen dataclass. https://github.com/ray-project/ray/issues/55747 def __init__( self, datasource: Datasource, @@ -110,11 +111,23 @@ def _cached_output_metadata(self) -> "BlockMetadataWithSchema": if all(meta.num_rows is not None for meta in metadata): num_rows = sum(meta.num_rows for meta in metadata) + original_num_rows = num_rows + # Apply per-block limit if set + if self._per_block_limit is not None: + num_rows = min(num_rows, self._per_block_limit) else: num_rows = None + original_num_rows = None if all(meta.size_bytes is not None for meta in metadata): size_bytes = sum(meta.size_bytes for meta in metadata) + # Pro-rate the byte size if we applied a row limit + if ( + self._per_block_limit is not None + and original_num_rows is not None + and original_num_rows > 0 + ): + size_bytes = int(size_bytes * (num_rows / original_num_rows)) else: size_bytes = None diff --git a/python/ray/data/_internal/logical/rules/limit_pushdown.py b/python/ray/data/_internal/logical/rules/limit_pushdown.py index c3c8e5f786e3..ab40ea24cdd4 100644 --- a/python/ray/data/_internal/logical/rules/limit_pushdown.py +++ b/python/ray/data/_internal/logical/rules/limit_pushdown.py @@ -1,9 +1,8 @@ import copy -from collections import deque -from typing import Iterable, List +from typing import List from ray.data._internal.logical.interfaces import LogicalOperator, LogicalPlan, Rule -from ray.data._internal.logical.operators.map_operator import MapBatches +from ray.data._internal.logical.operators.map_operator import AbstractMap, MapBatches from ray.data._internal.logical.operators.n_ary_operator import Union from ray.data._internal.logical.operators.one_to_one_operator import ( AbstractOneToOne, @@ -24,14 +23,33 @@ class LimitPushdownRule(Rule): We stop at: - Any operator that can modify the number of output rows (Sort, Shuffle, Aggregate, Read etc.) + For per-block limiting, we also set per-block limits on Read operators to optimize + I/O while keeping the Limit operator for exact row count control. + In addition, we also fuse consecutive Limit operators into a single Limit operator, i.e. `Limit[n] -> Limit[m]` becomes `Limit[min(n, m)]`. """ def apply(self, plan: LogicalPlan) -> LogicalPlan: # The DAG's root is the most downstream operator. - optimized_dag = self._apply_limit_pushdown(plan.dag) - optimized_dag = self._apply_limit_fusion(optimized_dag) + def transform(node: LogicalOperator) -> LogicalOperator: + if isinstance(node, Limit): + # First, try to fuse with upstream Limit if possible (reuse fusion logic) + upstream_op = node.input_dependency + if isinstance(upstream_op, Limit): + # Fuse consecutive Limits: Limit[n] -> Limit[m] becomes Limit[min(n,m)] + new_limit = min(node._limit, upstream_op._limit) + return Limit(upstream_op.input_dependency, new_limit) + + # If no fusion, apply pushdown logic + if isinstance(upstream_op, Union): + return self._push_limit_into_union(node) + else: + return self._push_limit_down(node) + + return node + + optimized_dag = plan.dag._apply_transform(transform) return LogicalPlan(dag=optimized_dag, context=plan.context) def _apply_limit_pushdown(self, op: LogicalOperator) -> LogicalOperator: @@ -101,82 +119,66 @@ def _push_limit_into_union(self, limit_op: Limit) -> Limit: def _push_limit_down(self, limit_op: Limit) -> LogicalOperator: """Push a single limit down through compatible operators conservatively. - Similar to the original algorithm but more conservative in what we push through. + Creates entirely new operators instead of mutating existing ones. """ - limit_op_copy = copy.copy(limit_op) - # Traverse up the DAG until we reach the first operator that meets # one of the stopping conditions - new_input_into_limit = limit_op.input_dependency - ops_between_new_input_and_limit: List[LogicalOperator] = [] + current_op = limit_op.input_dependency + num_rows_preserving_ops: List[LogicalOperator] = [] while ( - isinstance(new_input_into_limit, AbstractOneToOne) - and not new_input_into_limit.can_modify_num_rows() - and not isinstance(new_input_into_limit, MapBatches) - # We should push past MapBatches, but MapBatches can modify the row count TODO: add a flag in map_batches that allows the user to opt in ensure row preservation + isinstance(current_op, AbstractOneToOne) + and not current_op.can_modify_num_rows() + and not isinstance(current_op, MapBatches) + # We should push past MapBatches, but MapBatches can modify the row count + # TODO: add a flag in map_batches that allows the user to opt in ensure row preservation ): - new_input_into_limit_copy = copy.copy(new_input_into_limit) - ops_between_new_input_and_limit.append(new_input_into_limit_copy) - new_input_into_limit = new_input_into_limit.input_dependency + num_rows_preserving_ops.append(current_op) + current_op = current_op.input_dependency # If we couldn't push through any operators, return original - if not ops_between_new_input_and_limit: + if not num_rows_preserving_ops: return limit_op - # Link the Limit operator and its newly designated input op from above. - limit_op_copy._input_dependencies = [new_input_into_limit] - new_input_into_limit._output_dependencies = [limit_op_copy] - - # Wire limit_op_copy to the first operator that should come after it - # (which is the last one we added to the list). Going from up upstream to downstream. - current_op = limit_op_copy - for next_op in reversed(ops_between_new_input_and_limit): - current_op._output_dependencies = [next_op] - next_op._input_dependencies = [current_op] - current_op = next_op - - # Link up all operations from last downstream op to post old limit location (further downstream) - last_op = current_op - for downstream_op in limit_op.output_dependencies: - downstream_op._input_dependencies = [last_op] - last_op._output_dependencies = limit_op.output_dependencies - return last_op - - def _apply_limit_fusion(self, op: LogicalOperator) -> LogicalOperator: - """Given a DAG of LogicalOperators, traverse the DAG and fuse all - back-to-back Limit operators, i.e. - Limit[n] -> Limit[m] becomes Limit[min(n, m)]. - - Returns a new LogicalOperator with the Limit operators fusion applied.""" - - # Post-order traversal. - nodes: Iterable[LogicalOperator] = deque() - for node in op.post_order_iter(): - nodes.appendleft(node) - - while len(nodes) > 0: - current_op = nodes.pop() - - # If we encounter two back-to-back Limit operators, fuse them. - if isinstance(current_op, Limit): - upstream_op = current_op.input_dependency - if isinstance(upstream_op, Limit): - new_limit = min(current_op._limit, upstream_op._limit) - fused_limit_op = Limit(upstream_op.input_dependency, new_limit) - - # Link the fused Limit operator to its input and output ops, i.e.: - # `upstream_input -> limit_upstream -> limit_downstream -> downstream_output` # noqa: E501 - # becomes `upstream_input -> fused_limit -> downstream_output` - fused_limit_op._input_dependencies = upstream_op.input_dependencies - fused_limit_op._output_dependencies = current_op.output_dependencies - - # Replace occurrences of the upstream Limit operator in - # output_dependencies with the newly fused Limit operator. - upstream_input = upstream_op.input_dependency - upstream_input._output_dependencies = [fused_limit_op] - - for current_output in current_op.output_dependencies: - current_output._input_dependencies = [fused_limit_op] - nodes.append(fused_limit_op) - return current_op + # Apply per-block limit to the deepest operator if it supports it + limit_input = self._apply_per_block_limit_if_supported( + current_op, limit_op._limit + ) + + # Build the new operator chain: Chain non-preserving number of rows -> Limit -> Operators preserving number of rows + new_limit = Limit(limit_input, limit_op._limit) + result_op = new_limit + + # Recreate the intermediate operators and apply per-block limits + for op_to_recreate in reversed(num_rows_preserving_ops): + recreated_op = self._recreate_operator_with_new_input( + op_to_recreate, result_op + ) + result_op = recreated_op + + return result_op + + def _apply_per_block_limit_if_supported( + self, op: LogicalOperator, limit: int + ) -> LogicalOperator: + """Apply per-block limit to operators that support it.""" + if isinstance(op, AbstractMap): + new_op = copy.copy(op) + new_op.set_per_block_limit(limit) + return new_op + return op + + def _recreate_operator_with_new_input( + self, original_op: LogicalOperator, new_input: LogicalOperator + ) -> LogicalOperator: + """Create a new operator of the same type as original_op but with new_input as its input.""" + + if isinstance(original_op, Limit): + return Limit(new_input, original_op._limit) + + # Use copy and replace input dependencies approach + new_op = copy.copy(original_op) + new_op._input_dependencies = [new_input] + new_op._output_dependencies = [] + + return new_op diff --git a/python/ray/data/_internal/planner/plan_read_op.py b/python/ray/data/_internal/planner/plan_read_op.py index 1ca73b4b601b..149c95aa8bb4 100644 --- a/python/ray/data/_internal/planner/plan_read_op.py +++ b/python/ray/data/_internal/planner/plan_read_op.py @@ -71,7 +71,12 @@ def get_input_data(target_max_block_size) -> List[RefBundle]: assert ( parallelism is not None ), "Read parallelism must be set by the optimizer before execution" - read_tasks = op._datasource_or_legacy_reader.get_read_tasks(parallelism) + + # Get the original read tasks + read_tasks = op._datasource_or_legacy_reader.get_read_tasks( + parallelism, per_task_row_limit=op._per_block_limit + ) + _warn_on_high_parallelism(parallelism, len(read_tasks)) ret = [] diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index 6f9dcc5a885f..ccf7b713490d 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -329,6 +329,7 @@ def plan_udf_map_op( min_rows_per_bundle=op._min_rows_per_bundled_input, ray_remote_args_fn=op._ray_remote_args_fn, ray_remote_args=op._ray_remote_args, + per_block_limit=op._per_block_limit, ) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 46c48037cd1b..c9ccee0cc7e4 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -6178,6 +6178,9 @@ def _repr_mimebundle_(self, **kwargs): https://ipywidgets.readthedocs.io/en/latest/embedding.html for more information about the jupyter widget mimetype. + Args: + **kwargs: Additional arguments passed to the widget's _repr_mimebundle_ method. + Returns: A mimebundle containing an ipywidget repr and a simple text repr. """ @@ -6385,6 +6388,13 @@ def __init__( *, data_context: Optional[DataContext] = None, ): + """ + Initialize a :class:`Schema` wrapper around an Arrow or Pandas schema. + + Args: + base_schema: The underlying Arrow or Pandas schema. + data_context: The data context to use for this schema. + """ self.base_schema = base_schema # Snapshot the current context, so that the config of Datasets is always diff --git a/python/ray/data/datasource/datasource.py b/python/ray/data/datasource/datasource.py index cba5f088987d..b39a692e2bba 100644 --- a/python/ray/data/datasource/datasource.py +++ b/python/ray/data/datasource/datasource.py @@ -4,6 +4,7 @@ from ray.data._internal.util import _check_pyarrow_version from ray.data.block import Block, BlockMetadata, Schema +from ray.data.datasource.util import _iter_sliced_blocks from ray.util.annotations import Deprecated, DeveloperAPI, PublicAPI @@ -63,13 +64,15 @@ def estimate_inmemory_data_size(self) -> Optional[int]: """ raise NotImplementedError - def get_read_tasks(self, parallelism: int) -> List["ReadTask"]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List["ReadTask"]: """Execute the read and return read tasks. Args: parallelism: The requested read parallelism. The number of read tasks should equal to this value if possible. - + per_task_row_limit: The per-task row limit for the read tasks. Returns: A list of read tasks that can be executed to read blocks from the datasource in parallel. @@ -118,7 +121,6 @@ def get_read_tasks(self, parallelism: int) -> List["ReadTask"]: Args: parallelism: The requested read parallelism. The number of read tasks should equal to this value if possible. - read_args: Additional kwargs to pass to the datasource impl. Returns: A list of read tasks that can be executed to read blocks from the @@ -135,7 +137,20 @@ def __init__(self, datasource: Datasource, **read_args): def estimate_inmemory_data_size(self) -> Optional[int]: return None - def get_read_tasks(self, parallelism: int) -> List["ReadTask"]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List["ReadTask"]: + """Execute the read and return read tasks. + + Args: + parallelism: The requested read parallelism. The number of read + tasks should equal to this value if possible. + per_task_row_limit: The per-task row limit for the read tasks. + + Returns: + A list of read tasks that can be executed to read blocks from the + datasource in parallel. + """ return self._datasource.prepare_read(parallelism, **self._read_args) @@ -166,10 +181,12 @@ def __init__( read_fn: Callable[[], Iterable[Block]], metadata: BlockMetadata, schema: Optional["Schema"] = None, + per_task_row_limit: Optional[int] = None, ): self._metadata = metadata self._read_fn = read_fn self._schema = schema + self._per_task_row_limit = per_task_row_limit @property def metadata(self) -> BlockMetadata: @@ -184,6 +201,11 @@ def schema(self) -> Optional["Schema"]: def read_fn(self) -> Callable[[], Iterable[Block]]: return self._read_fn + @property + def per_task_row_limit(self) -> Optional[int]: + """Get the per-task row limit for this read task.""" + return self._per_task_row_limit + def __call__(self) -> Iterable[Block]: result = self._read_fn() if not hasattr(result, "__iter__"): @@ -192,7 +214,11 @@ def __call__(self) -> Iterable[Block]: "Probably you need to return `[block]` instead of " "`block`.".format(result) ) - yield from result + if self._per_task_row_limit is None: + yield from result + return + + yield from _iter_sliced_blocks(result, self._per_task_row_limit) @DeveloperAPI @@ -210,6 +236,12 @@ class RandomIntRowDatasource(Datasource): """ def __init__(self, n: int, num_columns: int): + """Initialize the datasource that generates random-integer rows. + + Args: + n: The number of rows to generate. + num_columns: The number of columns to generate. + """ self._n = n self._num_columns = num_columns @@ -219,6 +251,7 @@ def estimate_inmemory_data_size(self) -> Optional[int]: def get_read_tasks( self, parallelism: int, + per_task_row_limit: Optional[int] = None, ) -> List[ReadTask]: _check_pyarrow_version() import pyarrow @@ -256,6 +289,7 @@ def make_block(count: int, num_columns: int) -> Block: ], meta, schema=schema, + per_task_row_limit=per_task_row_limit, ) ) i += block_size diff --git a/python/ray/data/datasource/file_based_datasource.py b/python/ray/data/datasource/file_based_datasource.py index d65fe8d98293..d3fd82b75ad2 100644 --- a/python/ray/data/datasource/file_based_datasource.py +++ b/python/ray/data/datasource/file_based_datasource.py @@ -211,7 +211,9 @@ def estimate_inmemory_data_size(self) -> Optional[int]: total_size += sz return total_size - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: import numpy as np open_stream_args = self._open_stream_args @@ -309,7 +311,9 @@ def read_task_fn(): read_task_fn = create_read_task_fn(read_paths, self._NUM_THREADS_PER_TASK) - read_task = ReadTask(read_task_fn, meta) + read_task = ReadTask( + read_task_fn, meta, per_task_row_limit=per_task_row_limit + ) read_tasks.append(read_task) diff --git a/python/ray/data/datasource/util.py b/python/ray/data/datasource/util.py new file mode 100644 index 000000000000..49784ba7a8a1 --- /dev/null +++ b/python/ray/data/datasource/util.py @@ -0,0 +1,28 @@ +from typing import Iterable + +from ray.data.block import Block + + +def _iter_sliced_blocks( + blocks: Iterable[Block], per_task_row_limit: int +) -> Iterable[Block]: + """Iterate over blocks, accumulating rows up to the per-task row limit.""" + rows_read = 0 + for block in blocks: + if rows_read >= per_task_row_limit: + break + + from ray.data.block import BlockAccessor + + accessor = BlockAccessor.for_block(block) + block_rows = accessor.num_rows() + + if rows_read + block_rows <= per_task_row_limit: + yield block + rows_read += block_rows + else: + # Slice the block to meet the limit exactly + remaining_rows = per_task_row_limit - rows_read + sliced_block = accessor.slice(0, remaining_rows, copy=True) + yield sliced_block + break diff --git a/python/ray/data/tests/test_consumption.py b/python/ray/data/tests/test_consumption.py index 0f9b101a2f00..190ebf0ffbc4 100644 --- a/python/ray/data/tests/test_consumption.py +++ b/python/ray/data/tests/test_consumption.py @@ -1938,5 +1938,200 @@ def test_nowarning_execute_with_cpu(ray_start_cluster): mock_logger.assert_not_called() +def test_per_task_row_limit_basic(ray_start_regular_shared): + """Test basic per-block limiting functionality.""" + # Simple test that should work with the existing range datasource + ds = ray.data.range(1000, override_num_blocks=10).limit(50) + result = ds.take_all() + + # Verify we get the correct results + assert len(result) == 50 + assert [row["id"] for row in result] == list(range(50)) + + +def test_per_task_row_limit_with_custom_readtask(ray_start_regular_shared): + """Test per-block limiting directly with ReadTask implementation.""" + + def read_data_with_limit(): + # This simulates a ReadTask that reads 200 rows + return [pd.DataFrame({"id": range(200)})] + + # Create ReadTask with per-block limit + task_with_limit = ReadTask( + read_fn=read_data_with_limit, + metadata=BlockMetadata( + num_rows=200, size_bytes=1600, input_files=None, exec_stats=None + ), + schema=pa.lib.Schema.from_pandas(pd.DataFrame({"id": []})), + per_task_row_limit=50, + ) + + # Execute the ReadTask + result_blocks = list(task_with_limit()) + + # Should get only 50 rows due to per-block limiting + assert len(result_blocks) == 1 + assert len(result_blocks[0]) == 50 + assert result_blocks[0]["id"].tolist() == list(range(50)) + + +def test_per_task_row_limit_multiple_blocks_per_task(ray_start_regular_shared): + """Test per-block limiting when ReadTasks return multiple blocks.""" + + def read_multiple_blocks_with_limit(): + # This simulates a ReadTask that returns 3 blocks of 30 rows each + return [ + pd.DataFrame({"id": range(0, 30)}), + pd.DataFrame({"id": range(30, 60)}), + pd.DataFrame({"id": range(60, 90)}), + ] + + # Create ReadTask with per-block limit of 70 (should get 2.33 blocks) + task = ReadTask( + read_fn=read_multiple_blocks_with_limit, + metadata=BlockMetadata( + num_rows=90, size_bytes=720, input_files=None, exec_stats=None + ), + schema=pa.lib.Schema.from_pandas(pd.DataFrame({"id": []})), + per_task_row_limit=70, + ) + + result_blocks = list(task()) + + # Should get first 2 full blocks (60 rows) plus 10 rows from third block + total_rows = sum(len(block) for block in result_blocks) + assert total_rows == 70 + + # Verify the data is correct + all_ids = [] + for block in result_blocks: + all_ids.extend(block["id"].tolist()) + assert all_ids == list(range(70)) + + +def test_per_task_row_limit_larger_than_data(ray_start_regular_shared): + """Test per-block limiting when limit is larger than available data.""" + + total_rows = 50 + ds = ray.data.range(total_rows, override_num_blocks=5) + limited_ds = ds.limit(100) # Limit larger than data + result = limited_ds.take_all() + + assert len(result) == total_rows + assert [row["id"] for row in result] == list(range(total_rows)) + + +def test_per_task_row_limit_exact_block_boundary(ray_start_regular_shared): + """Test per-block limiting when limit exactly matches block boundaries.""" + + rows_per_block = 20 + num_blocks = 5 + limit = rows_per_block * 2 # Exactly 2 blocks + + ds = ray.data.range(rows_per_block * num_blocks, override_num_blocks=num_blocks) + limited_ds = ds.limit(limit) + result = limited_ds.take_all() + + assert len(result) == limit + assert [row["id"] for row in result] == list(range(limit)) + + +@pytest.mark.parametrize("limit", [1, 5, 10, 25, 50, 99]) +def test_per_task_row_limit_various_sizes(ray_start_regular_shared, limit): + """Test per-block limiting with various limit sizes.""" + + total_rows = 100 + num_blocks = 10 + + ds = ray.data.range(total_rows, override_num_blocks=num_blocks) + limited_ds = ds.limit(limit) + result = limited_ds.take_all() + + expected_len = min(limit, total_rows) + assert len(result) == expected_len + assert [row["id"] for row in result] == list(range(expected_len)) + + +def test_per_task_row_limit_with_transformations(ray_start_regular_shared): + """Test that per-block limiting works correctly with transformations.""" + + # Test with map operation after limit + ds = ray.data.range(100, override_num_blocks=10) + limited_ds = ds.limit(20).map(lambda x: {"doubled": x["id"] * 2}) + result = limited_ds.take_all() + + assert len(result) == 20 + assert [row["doubled"] for row in result] == [i * 2 for i in range(20)] + + # Test with map operation before limit + ds = ray.data.range(100, override_num_blocks=10) + limited_ds = ds.map(lambda x: {"doubled": x["id"] * 2}).limit(20) + result = limited_ds.take_all() + + assert len(result) == 20 + assert [row["doubled"] for row in result] == [i * 2 for i in range(20)] + + +def test_per_task_row_limit_with_filter(ray_start_regular_shared): + """Test per-block limiting with filter operations.""" + + # Filter before limit - per-block limiting should still work at read level + ds = ray.data.range(200, override_num_blocks=10) + filtered_limited = ds.filter(lambda x: x["id"] % 2 == 0).limit(15) + result = filtered_limited.take_all() + + assert len(result) == 15 + # Should get first 15 even numbers + assert [row["id"] for row in result] == [i * 2 for i in range(15)] + + +def test_per_task_row_limit_readtask_properties(ray_start_regular_shared): + """Test ReadTask per_block_limit property.""" + + def dummy_read(): + return [pd.DataFrame({"id": [1, 2, 3]})] + + # Test ReadTask without per_block_limit + task_no_limit = ReadTask( + read_fn=dummy_read, + metadata=BlockMetadata( + num_rows=3, size_bytes=24, input_files=None, exec_stats=None + ), + ) + assert task_no_limit.per_task_row_limit is None + + # Test ReadTask with per_block_limit + task_with_limit = ReadTask( + read_fn=dummy_read, + metadata=BlockMetadata( + num_rows=3, size_bytes=24, input_files=None, exec_stats=None + ), + per_task_row_limit=10, + ) + assert task_with_limit.per_task_row_limit == 10 + + +def test_per_task_row_limit_edge_cases(ray_start_regular_shared): + """Test per-block limiting edge cases.""" + + # Test with single row + ds = ray.data.range(1, override_num_blocks=1).limit(1) + result = ds.take_all() + assert len(result) == 1 + assert result[0]["id"] == 0 + + # Test with limit of 1 on large dataset + ds = ray.data.range(10000, override_num_blocks=100).limit(1) + result = ds.take_all() + assert len(result) == 1 + assert result[0]["id"] == 0 + + # Test with very large limit + ds = ray.data.range(100, override_num_blocks=10).limit(999999) + result = ds.take_all() + assert len(result) == 100 + assert [row["id"] for row in result] == list(range(100)) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/data/tests/test_delta_sharing.py b/python/ray/data/tests/test_delta_sharing.py index 8407c31935ff..ae7c70143d49 100644 --- a/python/ray/data/tests/test_delta_sharing.py +++ b/python/ray/data/tests/test_delta_sharing.py @@ -1,5 +1,6 @@ import json import unittest +from typing import Optional from unittest import mock from unittest.mock import MagicMock, patch @@ -178,7 +179,9 @@ def setup_delta_sharing_connections(self, url): ) return table, rest_client - def get_read_tasks(self, parallelism): + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ): self._table, self._rest_client = self.setup_delta_sharing_connections(self._url) response = self._rest_client.list_files_in_table( self._table, @@ -206,6 +209,7 @@ def get_read_tasks(self, parallelism): } ] ) + read_task.per_task_row_limit = per_task_row_limit read_tasks.append(read_task) return read_tasks diff --git a/python/ray/data/tests/test_dynamic_block_split.py b/python/ray/data/tests/test_dynamic_block_split.py index 6a4851b9656f..8c5284ed1ff0 100644 --- a/python/ray/data/tests/test_dynamic_block_split.py +++ b/python/ray/data/tests/test_dynamic_block_split.py @@ -2,6 +2,7 @@ import sys import time from dataclasses import astuple, dataclass +from typing import List, Optional import numpy as np import pandas as pd @@ -47,7 +48,9 @@ def __init__( def estimate_inmemory_data_size(self): return None - def get_read_tasks(self, parallelism: int): + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: def _blocks_generator(): for _ in range(self.num_batches_per_task): if self.use_bytes: @@ -91,6 +94,7 @@ def _blocks_generator(): input_files=None, exec_stats=None, ), + per_task_row_limit=per_task_row_limit, ) ] diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index 540718b4061c..ee5769720997 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -114,14 +114,22 @@ class StubDatasource(Datasource): def estimate_inmemory_data_size(self) -> Optional[int]: return None - def get_read_tasks(self, parallelism: int) -> List[ReadTask]: + def get_read_tasks( + self, parallelism: int, per_task_row_limit: Optional[int] = None + ) -> List[ReadTask]: large_object = np.zeros((128, 1024, 1024), dtype=np.uint8) # 128 MiB def read_fn(): _ = large_object yield pd.DataFrame({"column": [0]}) - return [ReadTask(read_fn, BlockMetadata(1, None, None, None))] + return [ + ReadTask( + read_fn, + BlockMetadata(1, None, None, None), + per_task_row_limit=per_task_row_limit, + ) + ] with pytest.warns(UserWarning): ray.data.read_datasource(StubDatasource()).materialize() @@ -1494,5 +1502,75 @@ def test_configure_map_task_memory_rule( assert remote_args.get("memory") == expected_memory +def test_limit_pushdown_map_per_block_limit_applied(ray_start_regular_shared_2_cpus): + """Test that per-block limits are actually applied during map execution.""" + + # Create a global counter using Ray + @ray.remote + class Counter: + def __init__(self): + self.value = 0 + + def increment(self): + self.value += 1 + return self.value + + def get(self): + return self.value + + counter = Counter.remote() + + def track_processing(row): + # Record that this row was processed + ray.get(counter.increment.remote()) + return row + + # Create dataset with limit pushed through map + ds = ray.data.range(1000, override_num_blocks=10).map(track_processing).limit(50) + + # Execute and get results + result = ds.take_all() + + # Verify correct results + expected = [{"id": i} for i in range(50)] + assert result == expected + + # Check how many rows were actually processed + processed_count = ray.get(counter.get.remote()) + + # With per-block limits, we should process fewer rows than the total dataset + # but at least the number we need for the final result + assert ( + processed_count >= 50 + ), f"Expected at least 50 rows processed, got {processed_count}" + assert ( + processed_count < 1000 + ), f"Expected fewer than 1000 rows processed, got {processed_count}" + + print(f"Processed {processed_count} rows to get {len(result)} results") + + +def test_limit_pushdown_preserves_map_behavior(ray_start_regular_shared_2_cpus): + """Test that adding per-block limits doesn't change the logical result.""" + + def add_one(row): + row["id"] += 1 + return row + + # Compare with and without limit pushdown + ds_with_limit = ray.data.range(100).map(add_one).limit(10) + ds_without_limit = ray.data.range(100).limit(10).map(add_one) + + result_with = ds_with_limit.take_all() + result_without = ds_without_limit.take_all() + + # Results should be identical + assert result_with == result_without + + # Both should have the expected transformation applied + expected = [{"id": i + 1} for i in range(10)] + assert result_with == expected + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/data/tests/test_operators.py b/python/ray/data/tests/test_operators.py index c1be4f198c94..417d3e63d9a6 100644 --- a/python/ray/data/tests/test_operators.py +++ b/python/ray/data/tests/test_operators.py @@ -32,6 +32,7 @@ from ray.data._internal.execution.operators.map_operator import ( MapOperator, _BlockRefBundler, + _per_block_limit_fn, ) from ray.data._internal.execution.operators.map_transformer import ( BlockMapTransformFn, @@ -1369,6 +1370,47 @@ def test_input_data_buffer_does_not_free_inputs(): assert len(gc.get_referrers(block_ref)) > 0 +@pytest.mark.parametrize( + "blocks_data,per_block_limit,expected_output", + [ + # Test case 1: Single block, limit less than block size + ([[1, 2, 3, 4, 5]], 3, [[1, 2, 3]]), + # Test case 2: Single block, limit equal to block size + ([[1, 2, 3]], 3, [[1, 2, 3]]), + # Test case 3: Single block, limit greater than block size + ([[1, 2]], 5, [[1, 2]]), + # Test case 4: Multiple blocks, limit spans across blocks + ([[1, 2], [3, 4], [5, 6]], 3, [[1, 2], [3]]), + # Test case 5: Multiple blocks, limit exactly at block boundary + ([[1, 2], [3, 4]], 2, [[1, 2]]), + # Test case 6: Empty blocks + ([], 5, []), + # Test case 7: Zero limit + ([[1, 2, 3]], 0, []), + ], +) +def test_per_block_limit_fn(blocks_data, per_block_limit, expected_output): + """Test the _per_block_limit_fn function with various inputs.""" + import pandas as pd + + # Convert test data to pandas blocks + blocks = [pd.DataFrame({"value": data}) for data in blocks_data] + + # Create a mock TaskContext + ctx = TaskContext(op_name="test", task_idx=0, target_max_block_size_override=None) + + # Call the function + result_blocks = list(_per_block_limit_fn(blocks, ctx, per_block_limit)) + + # Convert result back to lists for comparison + result_data = [] + for block in result_blocks: + block_data = block["value"].tolist() + result_data.append(block_data) + + assert result_data == expected_output + + if __name__ == "__main__": import sys From db3813778de302c93c898c0b4fd6a75facf3b0ab Mon Sep 17 00:00:00 2001 From: Xinyuan <43737116+xinyuangui2@users.noreply.github.com> Date: Fri, 26 Sep 2025 13:39:56 -0700 Subject: [PATCH 1421/1566] [Train][release test]Migrate tune_rllib_connect_test & tune_cloud_long_running_cloud_storage to ray train v2. (#56844) Migrate `tune_rllib_connect_test` & `tune_cloud_long_running_cloud_storage` to ray train v2. --------- Signed-off-by: xgui Signed-off-by: Douglas Strodtman --- release/ml_user_tests/tune_rllib/run_connect_tests.py | 6 +++--- release/release_tests.yaml | 7 ++++--- .../workloads/long_running_cloud_storage.py | 10 ++++------ 3 files changed, 11 insertions(+), 12 deletions(-) diff --git a/release/ml_user_tests/tune_rllib/run_connect_tests.py b/release/ml_user_tests/tune_rllib/run_connect_tests.py index 9ef2a4080c7d..7df6abd5fa89 100644 --- a/release/ml_user_tests/tune_rllib/run_connect_tests.py +++ b/release/ml_user_tests/tune_rllib/run_connect_tests.py @@ -11,9 +11,9 @@ import ray -from ray import air, tune +from ray import tune from ray.rllib.algorithms.appo import APPOConfig -from ray.tune import CLIReporter +from ray.tune import CLIReporter, RunConfig logging.basicConfig(level=logging.WARN) logger = logging.getLogger("tune_framework") @@ -55,7 +55,7 @@ def run(smoke_test=False, storage_path: str = None): return tune.Tuner( "APPO", param_space=config, - run_config=air.RunConfig( + run_config=RunConfig( stop=stop, verbose=1, progress_reporter=CLIReporter( diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 1e99127d7156..1d166af8a57d 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -424,7 +424,7 @@ run: timeout: 2000 - script: python tune_rllib/run_connect_tests.py + script: RAY_TRAIN_V2_ENABLED=1 python tune_rllib/run_connect_tests.py wait_for_nodes: num_nodes: 9 @@ -452,7 +452,7 @@ # 14 hours timeout: 50400 long_running: true - script: python workloads/long_running_cloud_storage.py s3://tune-cloud-tests/long_running_cloud_storage + script: RAY_TRAIN_V2_ENABLED=1 python workloads/long_running_cloud_storage.py s3://tune-cloud-tests/long_running_cloud_storage # NOTE: This smoke test is not useful to run because the point of the test # is to be long running. This is just for debugging updates to the test quickly. @@ -472,7 +472,7 @@ # 14 hours timeout: 50400 long_running: true - script: python workloads/long_running_cloud_storage.py gs://tune-cloud-tests/long_running_cloud_storage + script: RAY_TRAIN_V2_ENABLED=1 python workloads/long_running_cloud_storage.py gs://tune-cloud-tests/long_running_cloud_storage wait_for_nodes: num_nodes: 1 @@ -3339,6 +3339,7 @@ frequency: manual # was nightly team: data + cluster: byod: runtime_env: diff --git a/release/tune_tests/cloud_tests/workloads/long_running_cloud_storage.py b/release/tune_tests/cloud_tests/workloads/long_running_cloud_storage.py index 73f37539507b..8e2719d85357 100644 --- a/release/tune_tests/cloud_tests/workloads/long_running_cloud_storage.py +++ b/release/tune_tests/cloud_tests/workloads/long_running_cloud_storage.py @@ -8,9 +8,7 @@ import click import numpy as np -from ray import train, tune -from ray.train import Checkpoint, CheckpointConfig, RunConfig -from ray.tune import Callback +from ray.tune import Checkpoint, CheckpointConfig, RunConfig, Callback, report, Tuner class ProgressCallback(Callback): @@ -62,9 +60,9 @@ def function_trainable(config): pickle.dump(checkpoint_data, fp) checkpoint = Checkpoint.from_directory(directory) - train.report(metrics, checkpoint=checkpoint) + report(metrics, checkpoint=checkpoint) else: - train.report(metrics) + report(metrics) time.sleep(sleep_time) @@ -74,7 +72,7 @@ def function_trainable(config): def main(bucket, smoke_test): # Note: smoke_test is ignored as we just adjust the timeout. # The parameter is passed by the release test pipeline. - tuner = tune.Tuner( + tuner = Tuner( function_trainable, param_space={ "sleep_time": 30, From ab653159f63ae41b67d782fb418a4dcc3cbb4f5a Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Fri, 26 Sep 2025 23:06:28 +0200 Subject: [PATCH 1422/1566] [tune] Trigger Checkpointing via Trial / Tuner Callback (#55527) Currently a user cannot implement a custom trigger to schedule a checkpoint - an exception is to add `should_checkpoint` to the result, this however must be done from *within the trainable* and is not controlled by the `Tuner`/`Trial`. This PR allows users to modify inject `"should_checkpoint"` into the Trial result using the `on_trial_result` callback hook to implement custom checkpointing behavior at the callback level. --------- Signed-off-by: Daniel Sperber Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: Daraan <27899926+Daraan@users.noreply.github.com> Co-authored-by: Justin Yu Signed-off-by: Douglas Strodtman --- doc/source/tune/doc_code/trial_checkpoint.py | 25 ++ .../tune/tutorials/tune-trial-checkpoints.rst | 25 +- .../custom_checkpointing_with_callback.py | 221 ++++++++++++++++++ python/ray/tune/execution/tune_controller.py | 9 +- ...st_controller_checkpointing_integration.py | 52 ++++- 5 files changed, 326 insertions(+), 6 deletions(-) create mode 100644 python/ray/tune/examples/custom_checkpointing_with_callback.py diff --git a/doc/source/tune/doc_code/trial_checkpoint.py b/doc/source/tune/doc_code/trial_checkpoint.py index 2ac62b361726..f64f5d33cd81 100644 --- a/doc/source/tune/doc_code/trial_checkpoint.py +++ b/doc/source/tune/doc_code/trial_checkpoint.py @@ -161,3 +161,28 @@ def train_func(config): assert not result_grid.errors assert len(result_grid[0].best_checkpoints) == NUM_EPOCHS // CHECKPOINT_FREQ + +# __callback_api_checkpointing_start__ +from ray import tune +from ray.tune.experiment import Trial +from ray.tune.result import SHOULD_CHECKPOINT, TRAINING_ITERATION + + +class CheckpointByStepsTaken(tune.Callback): + def __init__(self, iterations_per_checkpoint: int): + self.steps_per_checkpoint = iterations_per_checkpoint + self._trials_last_checkpoint = {} + + def on_trial_result( + self, iteration: int, trials: list[Trial], trial: Trial, result: dict, **info + ): + current_iteration = result[TRAINING_ITERATION] + if ( + current_iteration - self._trials_last_checkpoint.get(trial, -1) + >= self.steps_per_checkpoint + ): + result[SHOULD_CHECKPOINT] = True + self._trials_last_checkpoint[trial] = current_iteration + + +# __callback_api_checkpointing_end__ diff --git a/doc/source/tune/tutorials/tune-trial-checkpoints.rst b/doc/source/tune/tutorials/tune-trial-checkpoints.rst index bf64b1566758..8a4b221005f6 100644 --- a/doc/source/tune/tutorials/tune-trial-checkpoints.rst +++ b/doc/source/tune/tutorials/tune-trial-checkpoints.rst @@ -60,8 +60,10 @@ You can also implement checkpoint/restore using the Trainable Class API: You can checkpoint with three different mechanisms: manually, periodically, and at termination. -Manual Checkpointing -~~~~~~~~~~~~~~~~~~~~ +.. _tune-class-trainable-checkpointing_manual-checkpointing: + +Manual Checkpointing by Trainable +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A custom Trainable can manually trigger checkpointing by returning ``should_checkpoint: True`` (or ``tune.result.SHOULD_CHECKPOINT: True``) in the result dictionary of `step`. @@ -75,6 +77,25 @@ This can be especially helpful in spot instances: In the above example, if ``detect_instance_preemption`` returns True, manual checkpointing can be triggered. +.. _tune-callback-checkpointing: + +Manual Checkpointing by Tuner Callback +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Similar to :ref:`tune-class-trainable-checkpointing_manual-checkpointing`, +you can also trigger checkpointing through :class:`Tuner ` :class:`Callback ` methods +by setting the ``result["should_checkpoint"] = True`` (or ``result[tune.result.SHOULD_CHECKPOINT] = True``) flag +within the :meth:`on_trial_result() ` method of your custom callback. +In contrast to checkpointing within the Trainable Class API, this approach decouples checkpointing logic from +the training logic, and provides access to all :class:`Trial ` instances allowing for more +complex checkpointing strategies. + +.. literalinclude:: /tune/doc_code/trial_checkpoint.py + :language: python + :start-after: __callback_api_checkpointing_start__ + :end-before: __callback_api_checkpointing_end__ + + Periodic Checkpointing ~~~~~~~~~~~~~~~~~~~~~~ diff --git a/python/ray/tune/examples/custom_checkpointing_with_callback.py b/python/ray/tune/examples/custom_checkpointing_with_callback.py new file mode 100644 index 000000000000..0b66eec7cd48 --- /dev/null +++ b/python/ray/tune/examples/custom_checkpointing_with_callback.py @@ -0,0 +1,221 @@ +# Example demonstrating how to use SHOULD_CHECKPOINT in a tuner callback +# for smart checkpointing logic. This shows how to trigger checkpointing from +# callbacks based on training progress rather than fixed intervals. + +import argparse +import json +import os +import time + +from ray import tune +from ray.tune import Callback +from ray.tune.result import SHOULD_CHECKPOINT + +# Hint: SHOULD_CHECKPOINT is an alias of the string "should_checkpoint" + + +# Some dummy function +def evaluation_fn(step, width, height): + time.sleep(0.1) + return (0.1 + width * step / 100) ** (-1) + height * 0.1 + + +class SmartCheckpointCallback(Callback): + """Custom callback that triggers checkpointing by updating the result dict. + + This callback demonstrates checkpointing logic beyond + simple periodic checkpointing. It checkpoints based on performance improvements + or when the loss becomes unstable. + + Args: + checkpoint_on_improvement: Checkpoint when loss improves significantly + checkpoint_on_instability: Checkpoint when loss becomes unstable + """ + + def __init__( + self, + *, + checkpoint_on_improvement: bool = True, + checkpoint_on_instability: bool = True, + ): + self.checkpoint_on_improvement = checkpoint_on_improvement + self.checkpoint_on_instability = checkpoint_on_instability + self.best_loss_per_trial = {} + self.recent_losses_per_trial = {} + + def on_trial_result(self, iteration, trials, trial, result, **info): + """Called after receiving a result from the trainable. + + This hook implements intelligent checkpointing logic: + 1. Checkpoint when we see significant improvement + 2. Checkpoint when loss becomes unstable (variance increases) + 3. Always checkpoint at specific milestones (every 10 steps) + """ + trial_id = trial.trial_id + current_loss = result.get("mean_loss", float("inf")) + current_step = result.get("iterations", 0) + + # Initialize tracking for this trial + if trial_id not in self.best_loss_per_trial: + self.best_loss_per_trial[trial_id] = float("inf") + self.recent_losses_per_trial[trial_id] = [] + + should_checkpoint = False + reason = "" + + # 1. Checkpoint every 10 steps as a baseline + if current_step > 0 and current_step % 10 == 0: + should_checkpoint = True + reason = f"milestone at step {current_step}" + + # 2. Checkpoint on significant improvement + if self.checkpoint_on_improvement: + if ( + current_loss < self.best_loss_per_trial[trial_id] * 0.9 + ): # 10% improvement + should_checkpoint = True + reason = f"significant improvement: {current_loss:.4f} < {self.best_loss_per_trial[trial_id]:.4f}" + self.best_loss_per_trial[trial_id] = current_loss + + # 3. Checkpoint on instability (high variance in recent losses) + if self.checkpoint_on_instability and current_step > 5: + recent_losses = self.recent_losses_per_trial[trial_id] + recent_losses.append(current_loss) + if len(recent_losses) > 5: + recent_losses.pop(0) # Keep only last 5 losses + + if len(recent_losses) == 5: + variance = ( + sum((x - sum(recent_losses) / 5) ** 2 for x in recent_losses) / 5 + ) + if variance > 0.1: # High variance threshold + should_checkpoint = True + reason = f"instability detected: variance={variance:.4f}" + else: + # Track recent losses + recent_losses = self.recent_losses_per_trial[trial_id] + recent_losses.append(current_loss) + if len(recent_losses) > 5: + recent_losses.pop(0) + + if should_checkpoint: + print( + f"Callback requesting checkpoint for trial {trial_id} at step {current_step}: {reason}" + ) + result[SHOULD_CHECKPOINT] = True + + +class OptimizationTrainable(tune.Trainable): + """A simple trainable that demonstrates automatic checkpointing with callbacks""" + + def setup(self, config): + """Initialize the trainable""" + self.current_step = 0 + self.width = config["width"] + self.height = config["height"] + + def step(self): + """Perform one step of training""" + intermediate_score = evaluation_fn(self.current_step, self.width, self.height) + self.current_step += 1 + + return { + "iterations": self.current_step, + "mean_loss": intermediate_score, + "step": self.current_step, # For tracking + } + + def save_checkpoint(self, checkpoint_dir): + """Save checkpoint + + Called automatically by Tune when SHOULD_CHECKPOINT is in the result + """ + checkpoint_path = os.path.join(checkpoint_dir, "checkpoint.json") + with open(checkpoint_path, "w") as f: + json.dump( + {"step": self.current_step, "width": self.width, "height": self.height}, + f, + ) + print(f"Checkpoint saved at step {self.current_step}") + + def load_checkpoint(self, checkpoint): + """Load checkpoint - called automatically by Tune during restoration""" + checkpoint_path = os.path.join(checkpoint, "checkpoint.json") + with open(checkpoint_path, "r") as f: + state = json.load(f) + self.current_step = state["step"] + self.width = state["width"] + self.height = state["height"] + print(f"Checkpoint loaded from step {self.current_step}") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--smoke-test", action="store_true", help="Finish quickly for testing" + ) + args, _ = parser.parse_known_args() + + print( + "=" * 60, + "Ray Tune Example: Smart Checkpointing with custom SHOULD_CHECKPOINT key", + "=" * 60, + "", + "This example demonstrates how to set the SHOULD_CHECKPOINT key in a callback", + "to implement intelligent checkpointing based on training progress.", + "", + "Key features:", + "- Callback-driven checkpointing by setting result[SHOULD_CHECKPOINT] = True", + "- Checkpoints triggered by performance improvements", + "- Milestone-based checkpointing every 10 steps", + "- Instability detection (high variance in recent losses)", + "- Automatic checkpoint save/load via class trainable", + sep="\n", + ) + + # Create the smart checkpoint callback + checkpoint_callback = SmartCheckpointCallback( + checkpoint_on_improvement=True, checkpoint_on_instability=True + ) + + tuner = tune.Tuner( + OptimizationTrainable, + run_config=tune.RunConfig( + name="smart_checkpoint_test", + stop={"training_iteration": 1 if args.smoke_test else 20}, + callbacks=[checkpoint_callback], # Add our custom callback + # Disable automatic periodic checkpointing to show callback control + checkpoint_config=tune.CheckpointConfig( + checkpoint_frequency=0, # Disable periodic checkpointing + checkpoint_at_end=True, # Still checkpoint at the end + ), + ), + tune_config=tune.TuneConfig( + metric="mean_loss", + mode="min", + num_samples=3, + ), + param_space={ + "width": tune.randint(10, 100), + "height": tune.loguniform(10, 100), + }, + ) + + print( + "Starting hyperparameter tuning with smart checkpointing...", + "Watch for checkpoint messages triggered by the callback!", + sep="\n", + ) + + results = tuner.fit() + best_result = results.get_best_result() + print( + "\n" + "=" * 60, + "RESULTS", + "=" * 60, + f"Best hyperparameters: {best_result.config}", + f"Best checkpoint: {best_result.checkpoint}", + "", + "The checkpoints were triggered by the SmartCheckpointCallback", + sep="\n", + ) diff --git a/python/ray/tune/execution/tune_controller.py b/python/ray/tune/execution/tune_controller.py index ea513eaf4c59..2e6a9438261a 100644 --- a/python/ray/tune/execution/tune_controller.py +++ b/python/ray/tune/execution/tune_controller.py @@ -1551,10 +1551,11 @@ def _process_trial_results(self, trial, results): # ignore all results that came after that. break - def _process_trial_result(self, trial, result): + def _process_trial_result(self, trial: Trial, result: dict[str, Any]): result.update(trial_id=trial.trial_id) is_duplicate = RESULT_DUPLICATE in result - force_checkpoint = result.get(SHOULD_CHECKPOINT, False) + force_checkpoint = False + # TrialScheduler and SearchAlgorithm still receive a # notification because there may be special handling for # the `on_trial_complete` hook. @@ -1590,8 +1591,10 @@ def _process_trial_result(self, trial, result): iteration=self._iteration, trials=self._trials, trial=trial, - result=result.copy(), + # NOTE: Allow user callbacks to modify the Trial result in place. + result=result, ) + force_checkpoint = result.get(SHOULD_CHECKPOINT, False) trial.update_last_result(result) # Include in next experiment checkpoint self._mark_trial_to_checkpoint(trial) diff --git a/python/ray/tune/tests/execution/test_controller_checkpointing_integration.py b/python/ray/tune/tests/execution/test_controller_checkpointing_integration.py index 971b0eaf774b..646475514990 100644 --- a/python/ray/tune/tests/execution/test_controller_checkpointing_integration.py +++ b/python/ray/tune/tests/execution/test_controller_checkpointing_integration.py @@ -14,7 +14,13 @@ from ray.train._internal.session import _TrainingResult from ray.train._internal.storage import StorageContext from ray.train.tests.util import mock_storage_context -from ray.tune import Checkpoint, CheckpointConfig, PlacementGroupFactory, ResumeConfig +from ray.tune import ( + Callback, + Checkpoint, + CheckpointConfig, + PlacementGroupFactory, + ResumeConfig, +) from ray.tune.execution.tune_controller import TuneController from ray.tune.experiment import Trial from ray.tune.result import DONE @@ -495,6 +501,50 @@ def get_json_state(self): assert sync_up.call_count == 6 +def test_checkpoint_force_by_trial_callback(ray_start_4_cpus_2_gpus_extra, tmp_path): + """Test that cloud syncing is forced if one of the trials has made more + than num_to_keep checkpoints since last sync. + Legacy test: test_trial_runner_3.py::TrialRunnerTest:: + testCloudCheckpointForceWithNumToKeep + """ + + class CheckpointCallback(Callback): + def __init__(self): + self.num_checkpoints = 0 + + def on_trial_result(self, iteration, trials, trial: Trial, result, **info): + # Checkpoint every two iterations + if result[TRAINING_ITERATION] % 2 == 0: + self.num_checkpoints += 1 + result["should_checkpoint"] = True + + storage = mock_storage_context() + + # disable automatic checkpointing + checkpoint_config = CheckpointConfig(checkpoint_frequency=0) + callback = CheckpointCallback() + runner = TuneController( + resource_manager_factory=PlacementGroupResourceManager, + storage=storage, + callbacks=[callback], + trial_checkpoint_config=checkpoint_config, + ) + + trial = Trial( + MOCK_TRAINABLE_NAME, + checkpoint_config=checkpoint_config, + stopping_criterion={"training_iteration": 6}, + storage=storage, + ) + runner.add_trial(trial) + + while not runner.is_finished(): + runner.step() + + assert callback.num_checkpoints == 3 + assert num_checkpoints(trial) == 3 + + def test_checkpoint_sync_up_timeout( ray_start_4_cpus_2_gpus_extra, tmp_path, monkeypatch ): From aead31b1310f275a23f433f99c3ed8d8fe2f3030 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Fri, 26 Sep 2025 14:08:35 -0700 Subject: [PATCH 1423/1566] [core] Mark release tests as stable + kill the unstable ones (#56887) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 18 ------------------ 1 file changed, 18 deletions(-) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 1d166af8a57d..0dae536f9dd6 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2341,8 +2341,6 @@ frequency: nightly working_dir: microbenchmark - stable: false - cluster: byod: {} cluster_compute: tpl_64.yaml @@ -2357,8 +2355,6 @@ frequency: nightly working_dir: microbenchmark - stable: false - cluster: byod: type: gpu @@ -2374,8 +2370,6 @@ frequency: nightly working_dir: microbenchmark - stable: false - cluster: byod: type: gpu @@ -2391,8 +2385,6 @@ frequency: nightly working_dir: microbenchmark - stable: false - cluster: byod: type: gpu @@ -2408,8 +2400,6 @@ frequency: nightly working_dir: microbenchmark - stable: false - cluster: byod: type: gpu @@ -2424,8 +2414,6 @@ team: core frequency: nightly working_dir: benchmark-worker-startup - stable: false - cluster: byod: @@ -2454,8 +2442,6 @@ frequency: manual # was nightly team: core - # https://github.com/ray-project/ray/issues/39165 - stable: false cluster: byod: {} @@ -2512,8 +2498,6 @@ group: core-daily-test working_dir: nightly_tests - stable: false - frequency: nightly team: core cluster: @@ -3727,8 +3711,6 @@ group: autoscaler-test working_dir: autoscaling_tests - stable: False - frequency: nightly team: core From 6b03cda5ddd0bb6c6ff4a3ae46422961a9846b06 Mon Sep 17 00:00:00 2001 From: Daniel Sperber Date: Fri, 26 Sep 2025 23:18:31 +0200 Subject: [PATCH 1424/1566] [tune] improve _PBTTrialState for dev/debugging usage (#56890) This PR improves the usage of the _PBTTrialState by: - adding type-hints - more informative repr; usefull during debugging --------- Signed-off-by: Daniel Sperber Signed-off-by: Douglas Strodtman --- python/ray/tune/schedulers/pbt.py | 39 ++++++++++++++++++++----------- 1 file changed, 26 insertions(+), 13 deletions(-) diff --git a/python/ray/tune/schedulers/pbt.py b/python/ray/tune/schedulers/pbt.py index b58ebfcbba7d..656f3de45507 100644 --- a/python/ray/tune/schedulers/pbt.py +++ b/python/ray/tune/schedulers/pbt.py @@ -24,6 +24,7 @@ from ray.util.debug import log_once if TYPE_CHECKING: + from ray.train import Checkpoint as TrainCheckpoint from ray.tune.execution.tune_controller import TuneController logger = logging.getLogger(__name__) @@ -34,20 +35,31 @@ class _PBTTrialState: def __init__(self, trial: Trial): self.orig_tag = trial.experiment_tag - self.last_score = None - self.last_checkpoint = None - self.last_perturbation_time = 0 - self.last_train_time = 0 # Used for synchronous mode. - self.last_result = None # Used for synchronous mode. + self.last_score: Union[float, None] = None # Set on _save_trial_state + self.last_checkpoint: Union[TrainCheckpoint, _FutureTrainingResult, None] = None + self.last_perturbation_time: int = 0 + self.last_train_time: int = 0 # Used for synchronous mode + self.last_result: Optional[ + dict[str, object] + ] = None # Used for synchronous mode def __repr__(self) -> str: - return str( - ( - self.last_score, - self.last_checkpoint, - self.last_train_time, - self.last_perturbation_time, + # Informative repr for easier debugging. + return ( + self.__class__.__name__ + + "(" + + ", ".join( + f"{k}={v}" + for k, v in self.__dict__.items() + if k + in ( + "last_score", + "last_checkpoint", + "last_train_time", + "last_perturbation_time", + ) ) + + ")" ) @@ -412,7 +424,7 @@ def __init__( self._quantile_fraction = quantile_fraction self._resample_probability = resample_probability self._perturbation_factors = perturbation_factors - self._trial_state = {} + self._trial_state: dict[Trial, _PBTTrialState] = {} self._custom_explore_fn = custom_explore_fn self._log_config = log_config self._require_attrs = require_attrs @@ -954,7 +966,8 @@ def _quantiles(self) -> Tuple[List[Trial], List[Trial]]: logger.debug("Trial {} is finished".format(trial)) if state.last_score is not None and not trial.is_finished(): trials.append(trial) - trials.sort(key=lambda t: self._trial_state[t].last_score) + # last_score is by construction never None + trials.sort(key=lambda t: self._trial_state[t].last_score) # type: ignore[arg-type,return-value] if len(trials) <= 1: return [], [] From 109bed21af5ec6dc6735a3f535d27414ef23e5b5 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Fri, 26 Sep 2025 15:11:27 -0700 Subject: [PATCH 1425/1566] [data] prevent double execution of to_arrow_refs (#56793) ## Why are these changes needed? see https://github.com/ray-project/ray/issues/56601 summary: In `to_arrow_refs`, we execute the streaming executor 2x, once for the actual data, another time for retrieving the schema. The schema wasn't retrieved properly because we were using iter_ref_bundles, which doesn't cache the schema. plan.execute does. ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index c9ccee0cc7e4..22c9631caf0d 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -5762,12 +5762,12 @@ def to_arrow_refs(self) -> List[ObjectRef["pyarrow.Table"]]: """ import pyarrow as pa - ref_bundles: Iterator[RefBundle] = self.iter_internal_ref_bundles() + ref_bundle: RefBundle = self._plan.execute() block_refs: List[ ObjectRef["pyarrow.Table"] - ] = _ref_bundles_iterator_to_block_refs_list(ref_bundles) + ] = _ref_bundles_iterator_to_block_refs_list([ref_bundle]) # Schema is safe to call since we have already triggered execution with - # iter_internal_ref_bundles. + # self._plan.execute(), which will cache the schema schema = self.schema(fetch_if_missing=True) if isinstance(schema, Schema): schema = schema.base_schema From 4265754422d0b86c46033e41b5865639646bdb38 Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Fri, 26 Sep 2025 15:25:47 -0700 Subject: [PATCH 1426/1566] [release] Use tests that associate with custom images in its build step name (#56951) Previously, the custom image build job just lists the first 2 tests overall but didn't filter based on the tests that it's associated with.... --------- Signed-off-by: kevin Signed-off-by: Kevin H. Luu Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../custom_byod_build_init_helper.py | 25 ++++++--- .../test_custom_byod_build_init_helper.py | 56 ++++++++++++++----- 2 files changed, 59 insertions(+), 22 deletions(-) diff --git a/release/ray_release/custom_byod_build_init_helper.py b/release/ray_release/custom_byod_build_init_helper.py index c4160c9d64d1..6f335b1407ff 100644 --- a/release/ray_release/custom_byod_build_init_helper.py +++ b/release/ray_release/custom_byod_build_init_helper.py @@ -1,4 +1,4 @@ -from typing import List, Tuple +from typing import List, Tuple, Dict import yaml import os from ray_release.configs.global_config import get_global_config @@ -20,9 +20,10 @@ def generate_custom_build_step_key(image: str) -> str: def get_images_from_tests( tests: List[Test], build_id: str -) -> List[Tuple[str, str, str, str]]: +) -> Tuple[List[Tuple[str, str, str, str]], Dict[str, List[str]]]: """Get a list of custom BYOD images to build from a list of tests.""" custom_byod_images = set() + custom_image_test_names_map = {} for test in tests: if not test.require_custom_byod_image(): continue @@ -32,9 +33,13 @@ def get_images_from_tests( test.get_byod_post_build_script(), test.get_byod_python_depset(), ) - logger.info(f"To be built: {custom_byod_image_build[0]}") custom_byod_images.add(custom_byod_image_build) - return list(custom_byod_images) + image_tag = custom_byod_image_build[0] + logger.info(f"To be built: {image_tag}") + if image_tag not in custom_image_test_names_map: + custom_image_test_names_map[image_tag] = [] + custom_image_test_names_map[image_tag].append(test.get_name()) + return list(custom_byod_images), custom_image_test_names_map def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: @@ -42,7 +47,9 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: config = get_global_config() if not config or not config.get("byod_ecr_region") or not config.get("byod_ecr"): raise ValueError("byod_ecr_region and byod_ecr must be set in the config") - custom_byod_images = get_images_from_tests(tests, "$$RAYCI_BUILD_ID") + custom_byod_images, custom_image_test_names_map = get_images_from_tests( + tests, "$$RAYCI_BUILD_ID" + ) if not custom_byod_images: return build_config = {"group": "Custom images build", "steps": []} @@ -54,7 +61,7 @@ def create_custom_build_yaml(destination_file: str, tests: List[Test]) -> None: if not post_build_script: continue step_key = generate_custom_build_step_key(image) - step_name = _get_step_name(image, step_key, tests) + step_name = _get_step_name(image, step_key, custom_image_test_names_map[image]) step = { "label": step_name, "key": step_key, @@ -89,11 +96,11 @@ def get_prerequisite_step(image: str) -> str: return config["release_image_step_ray"] -def _get_step_name(image: str, step_key: str, tests: List[Test]) -> str: +def _get_step_name(image: str, step_key: str, test_names: List[str]) -> str: ecr, tag = image.split(":") ecr_repo = ecr.split("/")[-1] tag_without_build_id_and_custom_hash = tag.split("-")[1:-1] step_name = f":tapioca: build custom: {ecr_repo}:{'-'.join(tag_without_build_id_and_custom_hash)} ({step_key})" - for test in tests[:2]: - step_name += f" {test.get_name()}" + for test_name in test_names[:2]: + step_name += f" {test_name}" return step_name diff --git a/release/ray_release/tests/test_custom_byod_build_init_helper.py b/release/ray_release/tests/test_custom_byod_build_init_helper.py index df0a801cec99..52fabe4522f2 100644 --- a/release/ray_release/tests/test_custom_byod_build_init_helper.py +++ b/release/ray_release/tests/test_custom_byod_build_init_helper.py @@ -9,6 +9,7 @@ create_custom_build_yaml, get_prerequisite_step, _get_step_name, + generate_custom_build_step_key, ) from ray_release.configs.global_config import init_global_config from ray_release.bazel import bazel_runfile @@ -25,32 +26,49 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): config = get_global_config() custom_byod_images = [ ( - "ray-project/ray-ml:abc123-custom", + "ray-project/ray-ml:abc123-custom-123456789abc123456789", "ray-project/ray-ml:abc123-base", "custom_script.sh", None, ), ( - "ray-project/ray-ml:abc123-custom", + "ray-project/ray-ml:abc123-custom1", "ray-project/ray-ml:abc123-base", "", None, ), ( - "ray-project/ray-ml:nightly-py37-cpu-custom-abcdef123456789abc123456789", - "ray-project/ray-ml:nightly-py37-cpu-base", + "ray-project/ray-ml:abc123-py37-cpu-custom-abcdef123456789abc123456789", + "ray-project/ray-ml:abc123-py37-cpu-base", "custom_script.sh", None, ), # longer than 40 chars ( - "ray-project/ray-ml:nightly-py37-cpu-custom-abcdef123456789abc123456789", - "ray-project/ray-ml:nightly-py37-cpu-base", + "ray-project/ray-ml:abc123-py37-cpu-custom-abcdef123456789abc987654321", + "ray-project/ray-ml:abc123-py37-cpu-base", "custom_script.sh", "python_depset.lock", ), ] - mock_get_images_from_tests.return_value = custom_byod_images - + custom_image_test_names_map = { + "ray-project/ray-ml:abc123-custom-123456789abc123456789": ["test_1"], + "ray-project/ray-ml:abc123-custom1": ["test_2"], + "ray-project/ray-ml:abc123-py37-cpu-custom-abcdef123456789abc123456789": [ + "test_1", + "test_2", + ], + "ray-project/ray-ml:abc123-py37-cpu-custom-abcdef123456789abc987654321": [ + "test_1", + "test_2", + ], + } + mock_get_images_from_tests.return_value = ( + custom_byod_images, + custom_image_test_names_map, + ) + step_keys = [ + generate_custom_build_step_key(image) for image, _, _, _ in custom_byod_images + ] # List of dummy tests tests = [ Test( @@ -76,6 +94,18 @@ def test_create_custom_build_yaml(mock_get_images_from_tests): content = yaml.safe_load(f) assert content["group"] == "Custom images build" assert len(content["steps"]) == 3 + assert ( + content["steps"][0]["label"] + == f":tapioca: build custom: ray-ml:custom ({step_keys[0]}) test_1" + ) + assert ( + content["steps"][1]["label"] + == f":tapioca: build custom: ray-ml:py37-cpu-custom ({step_keys[2]}) test_1 test_2" + ) + assert ( + content["steps"][2]["label"] + == f":tapioca: build custom: ray-ml:py37-cpu-custom ({step_keys[3]}) test_1 test_2" + ) assert ( "export RAY_WANT_COMMIT_IN_IMAGE=abc123" in content["steps"][0]["commands"][0] @@ -112,16 +142,16 @@ def test_get_prerequisite_step(): def test_get_step_name(): - tests = [ - Test(name="test_1"), - Test(name="test_2"), - Test(name="test_3"), + test_names = [ + "test_1", + "test_2", + "test_3", ] assert ( _get_step_name( "ray-project/ray-ml:a1b2c3d4-py39-cpu-abcdef123456789abc123456789", "abc123", - tests, + test_names, ) == ":tapioca: build custom: ray-ml:py39-cpu (abc123) test_1 test_2" ) From bb7255deb822dbdd289244cce9f4e4de73fa4e18 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Fri, 26 Sep 2025 15:30:02 -0700 Subject: [PATCH 1427/1566] [train][release] Add v2 multinode persistence release test (#56856) Add v2 multinode persistence release test by doing the following: * `test_persistence.py` uses v1 or v2 functions depending on `is_v2_enabled` * The v2 release tests are `variations` on the existing `train_multinode_persistence` entry in `release_tests.yaml` --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- python/ray/train/v2/tests/test_persistence.py | 12 +- release/release_tests.yaml | 14 +- .../multinode_persistence/test_persistence.py | 215 +++++++++++------- ..._persistence.py => test_v1_persistence.py} | 0 .../test_v2_persistence.py | 1 + 5 files changed, 149 insertions(+), 93 deletions(-) rename release/train_tests/multinode_persistence/{test_new_persistence.py => test_v1_persistence.py} (100%) create mode 120000 release/train_tests/multinode_persistence/test_v2_persistence.py diff --git a/python/ray/train/v2/tests/test_persistence.py b/python/ray/train/v2/tests/test_persistence.py index 2649c5ce2ad7..58a61a3ba4d9 100644 --- a/python/ray/train/v2/tests/test_persistence.py +++ b/python/ray/train/v2/tests/test_persistence.py @@ -174,9 +174,9 @@ def train_fn(config): print("Loaded back state from checkpoint:", state) start = state["iter"] + 1 - assert len(ray.train.get_all_reported_checkpoints()) == min( - start, config.get("num_to_keep", float("inf")) - ) + got = len(ray.train.get_all_reported_checkpoints()) + expected = min(start, config.get("num_to_keep", float("inf"))) + assert got == expected, f"Expected {expected} checkpoints, got {got}" for i in range(start, config.get("num_iterations", 5)): time.sleep(config.get("time_per_iter", 0.25)) @@ -219,9 +219,9 @@ def train_fn(config): ray.train.collective.barrier() if i in config.get("fail_iters", []): - assert len(ray.train.get_all_reported_checkpoints()) == min( - i + 1, config.get("num_to_keep", float("inf")) - ) + got = len(ray.train.get_all_reported_checkpoints()) + expected = min(i + 1, config.get("num_to_keep", float("inf"))) + assert got == expected, f"Expected {expected} checkpoints, got {got}" raise RuntimeError(f"Failing on iter={i}!!") diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 0dae536f9dd6..11d9daa8b64e 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -1830,12 +1830,22 @@ num_nodes: 4 variations: - - __suffix__: aws - - __suffix__: gce + - __suffix__: aws_v1 + - __suffix__: aws_v2 + run: + script: RAY_TRAIN_V2_ENABLED=1 pytest -v test_persistence.py -s + - __suffix__: gce_v1 + env: gce + frequency: manual + cluster: + cluster_compute: compute_gce.yaml + - __suffix__: gce_v2 env: gce frequency: manual cluster: cluster_compute: compute_gce.yaml + run: + script: RAY_TRAIN_V2_ENABLED=1 pytest -v test_persistence.py -s alert: default diff --git a/release/train_tests/multinode_persistence/test_persistence.py b/release/train_tests/multinode_persistence/test_persistence.py index 54aad4e67200..d1dc1355118c 100644 --- a/release/train_tests/multinode_persistence/test_persistence.py +++ b/release/train_tests/multinode_persistence/test_persistence.py @@ -1,7 +1,7 @@ """Train multi-node persistence/checkpoint release test. -This test is a multi-node version of `test_new_persistence.py` and is meant to -be run on a cluster with NFS or S3 storage configured. +This test is a multi-node version of `test_new_persistence.py`/`test_persistence.py` +and is meant to be run on a cluster with NFS or S3 storage configured. This test also records timing metrics on checkpoint save (to disk), save (to storage), and load (from storage) operations and outputs them as release test metrics. @@ -39,15 +39,23 @@ from ray.air.constants import TRAINING_ITERATION from ray.air._internal.uri_utils import URI from ray.train import Checkpoint -from ray.train.base_trainer import TrainingFailedError from ray.train.torch import TorchTrainer +from ray.train.v2._internal.constants import is_v2_enabled +if is_v2_enabled(): + from test_v2_persistence import ( + train_fn, + _assert_storage_contents, + ) + from ray.train.v2.api.exceptions import WorkerGroupError +else: + from test_v1_persistence import ( + train_fn, + _assert_storage_contents, + _resume_from_checkpoint, + ) + from ray.train.base_trainer import TrainingFailedError -from test_new_persistence import ( - train_fn, - _assert_storage_contents, - _resume_from_checkpoint, -) # Add a unique ID to the storage path to avoid collisions between release test runs. TEST_ID = uuid.uuid4().hex[:4] + "_" + datetime.today().strftime("%Y-%m-%d_%H-%M-%S") @@ -207,49 +215,64 @@ def test_trainer(root_path_storage_filesystem_label, tmp_path, monkeypatch): root_path, storage_filesystem, label = root_path_storage_filesystem_label storage_path = root_path + label - checkpoint_config = train.CheckpointConfig( - num_to_keep=TestConstants.NUM_ITERATIONS // 2 - ) + num_to_keep = TestConstants.NUM_ITERATIONS // 2 + checkpoint_config = train.CheckpointConfig(num_to_keep=num_to_keep) exp_name = "test_trainer" print( "\nSaving results under (storage_path, exp_name) = " f"({storage_path}, {exp_name})\n" ) - + train_loop_config = { + "fail_iters": [3, 6, 8], + "time_per_iter": 1.0, + "num_iterations": TestConstants.NUM_ITERATIONS, + "custom_save_fn": custom_save_fn, + "custom_restore_fn": custom_restore_fn, + "num_to_keep": num_to_keep, + } + scaling_config = train.ScalingConfig( + num_workers=TestConstants.NUM_WORKERS, + resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, + ) + run_config = train.RunConfig( + failure_config=train.FailureConfig(max_failures=2), + name=exp_name, + storage_path=storage_path, + storage_filesystem=storage_filesystem, + checkpoint_config=checkpoint_config, + ) + if not is_v2_enabled(): + train_loop_config["in_trainer"] = True + scaling_config.trainer_resources = {"CPU": 0} + run_config.sync_config = train.SyncConfig(sync_artifacts=True) trainer = TorchTrainer( train_fn, - train_loop_config={ - "in_trainer": True, - "fail_iters": [3, 6, 8], - "time_per_iter": 1.0, - "num_iterations": TestConstants.NUM_ITERATIONS, - "custom_save_fn": custom_save_fn, - "custom_restore_fn": custom_restore_fn, - }, - scaling_config=train.ScalingConfig( - num_workers=TestConstants.NUM_WORKERS, - trainer_resources={"CPU": 0}, - resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, - ), - run_config=train.RunConfig( - failure_config=train.FailureConfig(max_failures=2), - name=exp_name, - storage_path=storage_path, - storage_filesystem=storage_filesystem, - checkpoint_config=checkpoint_config, - sync_config=train.SyncConfig(sync_artifacts=True), - ), + train_loop_config=train_loop_config, + scaling_config=scaling_config, + run_config=run_config, ) print("\nStarting initial run.\n") - with pytest.raises(TrainingFailedError): - result = trainer.fit() + if is_v2_enabled(): + with pytest.raises(WorkerGroupError): + trainer.fit() + else: + with pytest.raises(TrainingFailedError): + result = trainer.fit() print("\nStarting manually restored run.\n") - restored_trainer = TorchTrainer.restore( - path=str(URI(storage_path) / exp_name), - storage_filesystem=storage_filesystem, - ) + if is_v2_enabled(): + restored_trainer = TorchTrainer( + train_fn, + train_loop_config=train_loop_config, + scaling_config=scaling_config, + run_config=run_config, + ) + else: + restored_trainer = TorchTrainer.restore( + path=str(URI(storage_path) / exp_name), + storage_filesystem=storage_filesystem, + ) result = restored_trainer.fit() print(result) @@ -268,22 +291,31 @@ def test_trainer(root_path_storage_filesystem_label, tmp_path, monkeypatch): else: raise NotImplementedError(f"Invalid storage type: {label}") - _assert_storage_contents( - local_inspect_dir, - exp_name, - checkpoint_config, - "TorchTrainer", - test_trainer=True, - constants=TestConstants, - ) + if is_v2_enabled(): + _assert_storage_contents( + local_inspect_dir, + exp_name, + checkpoint_config, + constants=TestConstants, + ) + else: + _assert_storage_contents( + local_inspect_dir, + exp_name, + checkpoint_config, + "TorchTrainer", + test_trainer=True, + constants=TestConstants, + ) # Test `resume_from_checkpoint` - _resume_from_checkpoint( - result.checkpoint, - expected_state={"iter": TestConstants.NUM_ITERATIONS - 1}, - storage_path=storage_path, - storage_filesystem=storage_filesystem, - ) + if not is_v2_enabled(): + _resume_from_checkpoint( + result.checkpoint, + expected_state={"iter": TestConstants.NUM_ITERATIONS - 1}, + storage_path=storage_path, + storage_filesystem=storage_filesystem, + ) # Upload checkpoint save and restore timing release test metrics all_checkpoint_timing_metrics = collections.defaultdict(list) @@ -328,22 +360,29 @@ def test_no_storage_error(tmp_path, monkeypatch): w/ no persistent storage configured.""" ray.init(runtime_env={"working_dir": "."}, ignore_reinit_error=True) + train_loop_config = { + "time_per_iter": 1.0, + "num_iterations": TestConstants.NUM_ITERATIONS, + } + scaling_config = train.ScalingConfig( + num_workers=TestConstants.NUM_WORKERS, + resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, + ) + if not is_v2_enabled(): + train_loop_config["in_trainer"] = True + scaling_config.trainer_resources = {"CPU": 0} trainer = TorchTrainer( train_fn, - train_loop_config={ - "in_trainer": True, - "time_per_iter": 1.0, - "num_iterations": TestConstants.NUM_ITERATIONS, - }, - scaling_config=train.ScalingConfig( - num_workers=TestConstants.NUM_WORKERS, - trainer_resources={"CPU": 0}, - resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, - ), + train_loop_config=train_loop_config, + scaling_config=scaling_config, run_config=train.RunConfig(name="test_trainer", storage_path=None), ) - with pytest.raises(TrainingFailedError): - trainer.fit() + if is_v2_enabled(): + with pytest.raises(WorkerGroupError): + trainer.fit() + else: + with pytest.raises(TrainingFailedError): + trainer.fit() def test_no_storage_no_checkpoints(tmp_path, monkeypatch): @@ -351,31 +390,37 @@ def test_no_storage_no_checkpoints(tmp_path, monkeypatch): if you never report checkpoints.""" ray.init(runtime_env={"working_dir": "."}, ignore_reinit_error=True) + train_loop_config = { + "time_per_iter": 1.0, + "num_iterations": TestConstants.NUM_ITERATIONS, + # Don't report any checkpoints + "no_checkpoint_ranks": list(range(TestConstants.NUM_WORKERS)), + } + scaling_config = train.ScalingConfig( + num_workers=TestConstants.NUM_WORKERS, + resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, + ) + run_config = train.RunConfig( + failure_config=train.FailureConfig(max_failures=2), + name="test_trainer", + storage_path=None, + ) + if not is_v2_enabled(): + train_loop_config["in_trainer"] = True + scaling_config.trainer_resources = {"CPU": 0} + run_config.sync_config = train.SyncConfig(sync_artifacts=True) trainer = TorchTrainer( train_fn, - train_loop_config={ - "in_trainer": True, - "time_per_iter": 1.0, - "num_iterations": TestConstants.NUM_ITERATIONS, - # Don't report any checkpoints - "no_checkpoint_ranks": list(range(TestConstants.NUM_WORKERS)), - }, - scaling_config=train.ScalingConfig( - num_workers=TestConstants.NUM_WORKERS, - trainer_resources={"CPU": 0}, - resources_per_worker={"CPU": TestConstants.NUM_CPUS_PER_WORKER}, - ), - run_config=train.RunConfig( - failure_config=train.FailureConfig(max_failures=2), - name="test_trainer", - storage_path=None, - sync_config=train.SyncConfig(sync_artifacts=True), - ), + train_loop_config=train_loop_config, + scaling_config=scaling_config, + run_config=run_config, ) result = trainer.fit() - assert result.metrics[TRAINING_ITERATION] == TestConstants.NUM_ITERATIONS - assert len(result.metrics_dataframe) == TestConstants.NUM_ITERATIONS + # v2 does not support free floating metrics + if not is_v2_enabled(): + assert result.metrics[TRAINING_ITERATION] == TestConstants.NUM_ITERATIONS + assert len(result.metrics_dataframe) == TestConstants.NUM_ITERATIONS if __name__ == "__main__": diff --git a/release/train_tests/multinode_persistence/test_new_persistence.py b/release/train_tests/multinode_persistence/test_v1_persistence.py similarity index 100% rename from release/train_tests/multinode_persistence/test_new_persistence.py rename to release/train_tests/multinode_persistence/test_v1_persistence.py diff --git a/release/train_tests/multinode_persistence/test_v2_persistence.py b/release/train_tests/multinode_persistence/test_v2_persistence.py new file mode 120000 index 000000000000..d6025894c9ae --- /dev/null +++ b/release/train_tests/multinode_persistence/test_v2_persistence.py @@ -0,0 +1 @@ +../../../python/ray/train/v2/tests/test_persistence.py \ No newline at end of file From c7c053b7a72f855549d35b37dbf28446ea7af4d6 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Fri, 26 Sep 2025 15:53:45 -0700 Subject: [PATCH 1428/1566] Revert "[core] Deprecate LIFO/FIFO worker killing policies" (#56960) Reverts ray-project/ray#56314 Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- python/ray/tests/test_memory_pressure.py | 3 +- release/release_data_tests.yaml | 8 + release/release_tests.yaml | 20 +- src/ray/common/lease/lease_spec.cc | 2 +- src/ray/common/lease/lease_spec.h | 2 +- src/ray/common/ray_config_def.h | 6 + src/ray/common/task/task_spec.cc | 2 +- src/ray/common/task/task_spec.h | 2 +- src/ray/core_worker/task_manager.cc | 2 +- src/ray/protobuf/common.proto | 30 +-- src/ray/protobuf/gcs.proto | 2 +- src/ray/raylet/BUILD.bazel | 6 + src/ray/raylet/node_manager.cc | 5 +- src/ray/raylet/tests/BUILD.bazel | 30 +++ ...rker_killing_policy_group_by_owner_test.cc | 238 ++++++++++++++++++ ...rker_killing_policy_retriable_fifo_test.cc | 111 ++++++++ .../tests/worker_killing_policy_test.cc | 188 +++----------- src/ray/raylet/worker.h | 10 +- src/ray/raylet/worker_killing_policy.cc | 60 +++++ src/ray/raylet/worker_killing_policy.h | 22 +- .../worker_killing_policy_group_by_owner.cc | 6 +- .../worker_killing_policy_group_by_owner.h | 3 +- .../worker_killing_policy_retriable_fifo.cc | 76 ++++++ .../worker_killing_policy_retriable_fifo.h | 44 ++++ 24 files changed, 681 insertions(+), 197 deletions(-) create mode 100644 src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc create mode 100644 src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc create mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.cc create mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.h diff --git a/python/ray/tests/test_memory_pressure.py b/python/ray/tests/test_memory_pressure.py index 84816c37df1a..864ba040a673 100644 --- a/python/ray/tests/test_memory_pressure.py +++ b/python/ray/tests/test_memory_pressure.py @@ -518,9 +518,10 @@ def infinite_retry_task(): sys.platform != "linux" and sys.platform != "linux2", reason="memory monitor only on linux currently", ) -def test_one_actor_max_kill_previous_actor(shutdown_only): +def test_one_actor_max_fifo_kill_previous_actor(shutdown_only): with ray.init( _system_config={ + "worker_killing_policy": "retriable_fifo", "memory_usage_threshold": 0.7, "memory_monitor_refresh_ms": memory_monitor_refresh_ms, }, diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 3225c6ff7a53..542d4610f7e5 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -413,6 +413,8 @@ cluster: byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -429,6 +431,8 @@ cluster: byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml @@ -451,6 +455,8 @@ cluster: byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -466,6 +472,8 @@ cluster: byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 11d9daa8b64e..5aae249c09fd 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2229,7 +2229,9 @@ team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo cluster_compute: shuffle/shuffle_compute_multi.yaml run: @@ -2302,7 +2304,9 @@ team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo cluster_compute: shuffle/shuffle_compute_autoscaling.yaml run: @@ -2454,7 +2458,9 @@ team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo cluster_compute: dask_on_ray/dask_on_ray_sort_compute_template.yaml run: @@ -2479,7 +2485,9 @@ team: data cluster: - byod: {} + byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo cluster_compute: dask_on_ray/dask_on_ray_stress_compute.yaml run: @@ -2802,7 +2810,9 @@ team: core cluster: - byod: {} + byod: + runtime_env: + - RAY_worker_killing_policy=retriable_lifo cluster_compute: dask_on_ray/1tb_sort_compute.yaml run: diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc index 1283e2d64a03..7d84ebd92144 100644 --- a/src/ray/common/lease/lease_spec.cc +++ b/src/ray/common/lease/lease_spec.cc @@ -156,7 +156,7 @@ bool LeaseSpecification::IsRetriable() const { return true; } -int32_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } +uint64_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } bool LeaseSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/lease/lease_spec.h b/src/ray/common/lease/lease_spec.h index 3cf832c095b3..ab507a4e5544 100644 --- a/src/ray/common/lease/lease_spec.h +++ b/src/ray/common/lease/lease_spec.h @@ -82,7 +82,7 @@ class LeaseSpecification : public MessageWrapper { ray::FunctionDescriptor FunctionDescriptor() const; int64_t MaxActorRestarts() const; int32_t MaxRetries() const; - int32_t AttemptNumber() const; + uint64_t AttemptNumber() const; bool IsRetry() const; std::string GetTaskName() const; std::string GetFunctionOrActorName() const; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 37ef51094772..ce1f8947ba95 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -90,6 +90,12 @@ RAY_CONFIG(uint64_t, task_failure_entry_ttl_ms, 15 * 60 * 1000) /// that is not related to running out of memory. Retries indefinitely if the value is -1. RAY_CONFIG(uint64_t, task_oom_retries, -1) +/// The worker killing policy to use, available options are +/// group_by_owner +/// retriable_lifo +/// retriable_fifo +RAY_CONFIG(std::string, worker_killing_policy, "group_by_owner") + /// Whether to report placement or regular resource usage for an actor. /// Reporting placement may cause the autoscaler to overestimate the resources /// required of the cluster, but reporting regular resource may lead to no diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index e158a1a0e9a0..94c1199a7d27 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -187,7 +187,7 @@ bool TaskSpecification::HasRuntimeEnv() const { return !IsRuntimeEnvEmpty(SerializedRuntimeEnv()); } -int32_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } +uint64_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } bool TaskSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 3204943fcc97..3ead82c55128 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -139,7 +139,7 @@ class TaskSpecification : public MessageWrapper { int GetRuntimeEnvHash() const; - int32_t AttemptNumber() const; + uint64_t AttemptNumber() const; bool IsRetry() const; diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 5e25ae157ff7..6ee2a1d8205d 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -795,7 +795,7 @@ bool TaskManager::HandleReportGeneratorItemReturns( const auto &generator_id = ObjectID::FromBinary(request.generator_id()); const auto &task_id = generator_id.TaskId(); int64_t item_index = request.item_index(); - int64_t attempt_number = request.attempt_number(); + uint64_t attempt_number = request.attempt_number(); // Every generated object has the same task id. RAY_LOG(DEBUG) << "Received an intermediate result of index " << item_index << " generator_id: " << generator_id; diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 11449cf3f0b3..410e6bfd5e05 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -544,7 +544,7 @@ message TaskSpec { SchedulingStrategy scheduling_strategy = 28; // A count of the number of times this task has been attempted so far. 0 // means this is the first execution. - int32 attempt_number = 29; + uint64 attempt_number = 29; // This task returns a dynamic number of objects. bool returns_dynamic = 30; // A list of ObjectIDs that were created by this task but that should be @@ -774,41 +774,41 @@ message ReturnObject { // Task spec of an actor creation task. message ActorCreationTaskSpec { // ID of the actor that will be created by this task. - bytes actor_id = 1; + bytes actor_id = 2; // The max number of times this actor should be restarted. // If this number is 0 the actor won't be restarted. // If this number is -1 the actor will be restarted indefinitely. - int64 max_actor_restarts = 2; + int64 max_actor_restarts = 3; // The max number of times tasks submitted on this actor should be retried // if the actor fails and is restarted. // If this number is 0 the tasks won't be resubmitted. // If this number is -1 the tasks will be resubmitted indefinitely. - int64 max_task_retries = 3; + int64 max_task_retries = 4; // The dynamic options used in the worker command when starting a worker process for // an actor creation task. If the list isn't empty, the options will be used to replace // the placeholder string `RAY_WORKER_DYNAMIC_OPTION_PLACEHOLDER` in the worker command. // Used by Java workers for JVM options. - repeated string dynamic_worker_options = 4; + repeated string dynamic_worker_options = 5; // The max number of concurrent calls for default concurrency group of this actor. - int32 max_concurrency = 5; + int32 max_concurrency = 6; // Whether the actor is persistent. - bool is_detached = 6; + bool is_detached = 7; // Globally-unique name of the actor. Should only be populated when is_detached is true. - string name = 7; + string name = 8; // The namespace of the actor. Should only be populated when is_detached is true. - string ray_namespace = 8; + string ray_namespace = 9; // Whether the actor use async actor calls. - bool is_asyncio = 9; + bool is_asyncio = 10; // Field used for storing application-level extensions to the actor definition. - string extension_data = 10; + string extension_data = 11; // Serialized bytes of the Handle to the actor that will be created by this task. - bytes serialized_actor_handle = 11; + bytes serialized_actor_handle = 12; // The concurrency groups of this actor. - repeated ConcurrencyGroup concurrency_groups = 12; + repeated ConcurrencyGroup concurrency_groups = 13; // Whether to enable out of order execution. - bool allow_out_of_order_execution = 13; + bool allow_out_of_order_execution = 14; // The max number of pending actor calls. - int32 max_pending_calls = 14; + int32 max_pending_calls = 15; } // Task spec of an actor task. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index fe2a95d16ad8..9d350bca72e8 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -103,7 +103,7 @@ message ActorTableData { // Number of restarts that has been tried on this actor. // This will be greater by 1 than what's published before in ALIVE. // ALIVE:0 RESTARTING:1 ALIVE:1 RESTARTING:2, etc - int64 num_restarts = 8; + uint64 num_restarts = 8; // The address of the actor. Address address = 9; // The address of the actor's owner (parent). diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index d038150f15c4..5123bf1f2005 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -176,17 +176,23 @@ ray_cc_library( srcs = [ "worker_killing_policy.cc", "worker_killing_policy_group_by_owner.cc", + "worker_killing_policy_retriable_fifo.cc", ], hdrs = [ "worker_killing_policy.h", "worker_killing_policy_group_by_owner.h", + "worker_killing_policy_retriable_fifo.h", ], visibility = [":__subpackages__"], deps = [ ":worker", ":worker_pool", + "//src/ray/common:asio", "//src/ray/common:memory_monitor", + "@boost//:container_hash", + "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/time", + "@com_google_googletest//:gtest_prod", ], ) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index acd4bbea357a..d37bd01cb7c0 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -42,7 +42,7 @@ #include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/worker_killing_policy_group_by_owner.h" +#include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" #include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric_defs.h" @@ -160,7 +160,8 @@ NodeManager::NodeManager( record_metrics_period_ms_(config.record_metrics_period_ms), next_resource_seq_no_(0), ray_syncer_(io_service_, self_node_id_.Binary()), - worker_killing_policy_(std::make_shared()), + worker_killing_policy_( + CreateWorkerKillingPolicy(RayConfig::instance().worker_killing_policy())), memory_monitor_(std::make_unique( io_service, RayConfig::instance().memory_usage_threshold(), diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index 57f330690039..b027e767be1f 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -144,6 +144,36 @@ ray_cc_test( ], ) +ray_cc_test( + name = "worker_killing_policy_group_by_owner_test", + size = "small", + srcs = [ + "worker_killing_policy_group_by_owner_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//src/ray/common:lease", + "//src/ray/raylet:worker_killing_policy", + "@com_google_googletest//:gtest_main", + ], +) + +ray_cc_test( + name = "worker_killing_policy_retriable_fifo_test", + size = "small", + srcs = [ + "worker_killing_policy_retriable_fifo_test.cc", + ], + tags = ["team:core"], + deps = [ + ":util", + "//src/ray/common:lease", + "//src/ray/raylet:worker_killing_policy", + "@com_google_googletest//:gtest_main", + ], +) + ray_cc_test( name = "node_manager_test", size = "small", diff --git a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc new file mode 100644 index 000000000000..93b9b5f8f718 --- /dev/null +++ b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc @@ -0,0 +1,238 @@ +// Copyright 2022 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/raylet/worker_killing_policy_group_by_owner.h" + +#include +#include +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/lease/lease_spec.h" +#include "ray/raylet/tests/util.h" +#include "ray/raylet/worker_killing_policy.h" + +namespace ray { + +namespace raylet { + +class WorkerKillingGroupByOwnerTest : public ::testing::Test { + protected: + instrumented_io_context io_context_; + int32_t port_ = 2389; + JobID job_id_ = JobID::FromInt(75); + bool should_retry_ = true; + bool should_not_retry_ = false; + int32_t no_retry_ = 0; + int32_t has_retry_ = 1; + GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; + + std::shared_ptr CreateActorCreationWorker(TaskID owner_id, + int32_t max_restarts) { + rpc::LeaseSpec message; + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); + message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); + message.set_max_actor_restarts(max_restarts); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); + auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); + worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); + return worker; + } + + std::shared_ptr CreateTaskWorker(TaskID owner_id, + int32_t max_retries) { + rpc::LeaseSpec message; + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); + message.set_type(ray::rpc::TaskType::NORMAL_TASK); + message.set_max_retries(max_retries); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); + auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); + worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); + return worker; + } +}; + +TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { + std::vector> workers; + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + ASSERT_TRUE(worker_to_kill == nullptr); +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { + std::vector> workers; + + auto owner_id = TaskID::ForDriverTask(job_id_); + auto first_submitted = + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); + + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { + auto owner_id = TaskID::ForDriverTask(job_id_); + + std::vector> workers; + auto first_submitted = + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); + ASSERT_EQ(retry, should_not_retry_); +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { + auto first_group_owner_id = TaskID::FromRandom(job_id_); + auto second_group_owner_id = TaskID::FromRandom(job_id_); + + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + first_group_owner_id, has_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fifth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); + auto sixth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + workers.push_back(third_submitted); + workers.push_back(fourth_submitted); + workers.push_back(fifth_submitted); + workers.push_back(sixth_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(fourth_submitted, should_retry_)); + expected.push_back(std::make_pair(sixth_submitted, should_retry_)); + expected.push_back(std::make_pair(third_submitted, should_retry_)); + expected.push_back(std::make_pair(fifth_submitted, should_retry_)); + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + workers.push_back(third_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + expected.push_back(std::make_pair(third_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, + TestMultipleNonRetriableTaskSameGroupAndNotRetried) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +} // namespace raylet + +} // namespace ray + +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc new file mode 100644 index 000000000000..9026e26b836a --- /dev/null +++ b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc @@ -0,0 +1,111 @@ +// Copyright 2022 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/raylet/worker_killing_policy_retriable_fifo.h" + +#include +#include + +#include "gtest/gtest.h" +#include "ray/common/lease/lease_spec.h" +#include "ray/raylet/tests/util.h" +#include "ray/raylet/worker_killing_policy.h" + +namespace ray { + +namespace raylet { + +class WorkerKillerTest : public ::testing::Test { + protected: + int32_t port_ = 2389; + RetriableFIFOWorkerKillingPolicy worker_killing_policy_; + + std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { + rpc::LeaseSpec message; + message.set_max_actor_restarts(max_restarts); + message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); + auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); + worker->GrantLease(lease); + return worker; + } + + std::shared_ptr CreateTaskWorker(int32_t max_retries) { + rpc::LeaseSpec message; + message.set_max_retries(max_retries); + message.set_type(ray::rpc::TaskType::NORMAL_TASK); + LeaseSpecification lease_spec(message); + RayLease lease(lease_spec); + auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); + worker->GrantLease(lease); + return worker; + } +}; + +TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { + std::vector> workers; + auto worker_to_kill_and_should_retry = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry.first; + ASSERT_TRUE(worker_to_kill == nullptr); +} + +TEST_F(WorkerKillerTest, + TestPreferRetriableOverNonRetriableAndOrderByTimestampAscending) { + std::vector> workers; + auto first_submitted = + WorkerKillerTest::CreateActorCreationWorker(0 /* max_restarts */); + auto second_submitted = + WorkerKillerTest::CreateActorCreationWorker(1 /* max_restarts */); + auto third_submitted = WorkerKillerTest::CreateTaskWorker(0 /* max_restarts */); + auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(1 /* max_restarts */); + + workers.push_back(first_submitted); + workers.push_back(second_submitted); + workers.push_back(third_submitted); + workers.push_back(fourth_submitted); + + MemorySnapshot memory_snapshot; + auto worker_to_kill = + worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; + ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + + worker_to_kill = + worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; + ASSERT_EQ(worker_to_kill->WorkerId(), fourth_submitted->WorkerId()); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + + worker_to_kill = + worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; + ASSERT_EQ(worker_to_kill->WorkerId(), first_submitted->WorkerId()); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + + worker_to_kill = + worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; + ASSERT_EQ(worker_to_kill->WorkerId(), third_submitted->WorkerId()); +} + +} // namespace raylet + +} // namespace ray + +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/src/ray/raylet/tests/worker_killing_policy_test.cc b/src/ray/raylet/tests/worker_killing_policy_test.cc index c43288f79b97..dca60ad6f58c 100644 --- a/src/ray/raylet/tests/worker_killing_policy_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_test.cc @@ -15,137 +15,66 @@ #include "ray/raylet/worker_killing_policy.h" #include -#include -#include #include #include "gtest/gtest.h" #include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" -#include "ray/raylet/worker_killing_policy_group_by_owner.h" namespace ray { namespace raylet { -class WorkerKillingGroupByOwnerTest : public ::testing::Test { +class WorkerKillerTest : public ::testing::Test { protected: instrumented_io_context io_context_; int32_t port_ = 2389; - JobID job_id_ = JobID::FromInt(75); - bool should_retry_ = true; - bool should_not_retry_ = false; - int32_t no_retry_ = 0; - int32_t has_retry_ = 1; - GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(TaskID owner_id, - int32_t max_restarts) { + RetriableLIFOWorkerKillingPolicy worker_killing_policy_; + + std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); message.set_max_actor_restarts(max_restarts); + message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } - std::shared_ptr CreateTaskWorker(TaskID owner_id, - int32_t max_retries) { + std::shared_ptr CreateTaskWorker(int32_t max_retries) { rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::NORMAL_TASK); message.set_max_retries(max_retries); + message.set_type(ray::rpc::TaskType::NORMAL_TASK); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } }; -TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { +TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { std::vector> workers; - auto worker_to_kill_and_should_retry_ = + auto worker_to_kill_and_should_retry = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; + auto worker_to_kill = worker_to_kill_and_should_retry.first; ASSERT_TRUE(worker_to_kill == nullptr); } -TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { - std::vector> workers; - - auto owner_id = TaskID::ForDriverTask(job_id_); - auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); - - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { - auto owner_id = TaskID::ForDriverTask(job_id_); - +TEST_F(WorkerKillerTest, + TestPreferRetriableOverNonRetriableAndOrderByTimestampDescending) { std::vector> workers; auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); - ASSERT_EQ(retry, should_not_retry_); -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { - auto first_group_owner_id = TaskID::FromRandom(job_id_); - auto second_group_owner_id = TaskID::FromRandom(job_id_); - - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - first_group_owner_id, has_retry_); + WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); - auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); + WorkerKillerTest::CreateActorCreationWorker(true /* max_restarts */); + auto third_submitted = WorkerKillerTest::CreateTaskWorker(false /* max_retries */); + auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); auto fifth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); - auto sixth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); + WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); + auto sixth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); + workers.push_back(first_submitted); workers.push_back(second_submitted); workers.push_back(third_submitted); @@ -153,76 +82,19 @@ TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmitt workers.push_back(fifth_submitted); workers.push_back(sixth_submitted); - std::vector, bool>> expected; - expected.push_back(std::make_pair(fourth_submitted, should_retry_)); - expected.push_back(std::make_pair(sixth_submitted, should_retry_)); - expected.push_back(std::make_pair(third_submitted, should_retry_)); - expected.push_back(std::make_pair(fifth_submitted, should_retry_)); - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - expected.push_back(std::make_pair(third_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, - TestMultipleNonRetriableTaskSameGroupAndNotRetried) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + std::vector> expected_order; + expected_order.push_back(sixth_submitted); + expected_order.push_back(fourth_submitted); + expected_order.push_back(second_submitted); + expected_order.push_back(fifth_submitted); + expected_order.push_back(third_submitted); + expected_order.push_back(first_submitted); - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = + for (const auto &expected : expected_order) { + auto worker_to_kill_and_should_retry = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); + auto worker_to_kill = worker_to_kill_and_should_retry.first; + ASSERT_EQ(worker_to_kill->WorkerId(), expected->WorkerId()); workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), workers.end()); } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index e2eb754bf4b1..72a4843ad63e 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -243,12 +243,10 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { - return !IsDead() // Not dead - && !GetGrantedLeaseId() - .IsNil() // Has assigned lease. This is intentionally incorrect since - // Ray Data relies on this for GC #56155 - && !IsBlocked() // Not blocked - && GetActorId().IsNil(); // No assigned actor + return !IsDead() // Not dead + && !GetGrantedLeaseId().IsNil() // Has assigned lease + && !IsBlocked() // Not blocked + && GetActorId().IsNil(); // No assigned actor } rpc::CoreWorkerClientInterface *rpc_client() { diff --git a/src/ray/raylet/worker_killing_policy.cc b/src/ray/raylet/worker_killing_policy.cc index c7e5280d3155..e804864f54ac 100644 --- a/src/ray/raylet/worker_killing_policy.cc +++ b/src/ray/raylet/worker_killing_policy.cc @@ -16,18 +16,59 @@ #include +#include #include #include #include #include +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" +#include "ray/raylet/worker_killing_policy_group_by_owner.h" +#include "ray/raylet/worker_killing_policy_retriable_fifo.h" #include "ray/raylet/worker_pool.h" namespace ray { namespace raylet { +RetriableLIFOWorkerKillingPolicy::RetriableLIFOWorkerKillingPolicy() {} + +const std::pair, bool> +RetriableLIFOWorkerKillingPolicy::SelectWorkerToKill( + const std::vector> &workers, + const MemorySnapshot &system_memory) const { + if (workers.empty()) { + RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; + return std::make_pair(nullptr, /*should retry*/ false); + } + + std::vector> sorted = workers; + + std::sort(sorted.begin(), + sorted.end(), + [](std::shared_ptr const &left, + std::shared_ptr const &right) -> bool { + // First sort by retriable tasks and then by assigned time in descending + // order. + int left_retriable = + left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; + int right_retriable = + right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; + if (left_retriable == right_retriable) { + return left->GetGrantedLeaseTime() > right->GetGrantedLeaseTime(); + } + return left_retriable < right_retriable; + }); + + static const int32_t max_to_print = 10; + RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" + << WorkersDebugString(sorted, max_to_print, system_memory); + + return std::make_pair(sorted.front(), /*should retry*/ true); +} + std::string WorkerKillingPolicy::WorkersDebugString( const std::vector> &workers, int32_t num_workers, @@ -58,6 +99,25 @@ std::string WorkerKillingPolicy::WorkersDebugString( return result.str(); } +std::shared_ptr CreateWorkerKillingPolicy( + std::string killing_policy_str) { + if (killing_policy_str == kLifoPolicy) { + RAY_LOG(INFO) << "Running RetriableLIFO policy."; + return std::make_shared(); + } else if (killing_policy_str == kGroupByOwner) { + RAY_LOG(INFO) << "Running GroupByOwner policy."; + return std::make_shared(); + } else if (killing_policy_str == kFifoPolicy) { + RAY_LOG(INFO) << "Running RetriableFIFO policy."; + return std::make_shared(); + } else { + RAY_LOG(ERROR) + << killing_policy_str + << " is an invalid killing policy. Defaulting to RetriableLIFO policy."; + return std::make_shared(); + } +} + } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy.h b/src/ray/raylet/worker_killing_policy.h index c8c7ab438961..b76087ae888f 100644 --- a/src/ray/raylet/worker_killing_policy.h +++ b/src/ray/raylet/worker_killing_policy.h @@ -21,6 +21,8 @@ #include #include +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/asio/periodical_runner.h" #include "ray/common/memory_monitor.h" #include "ray/raylet/worker.h" #include "ray/raylet/worker_pool.h" @@ -29,6 +31,10 @@ namespace ray { namespace raylet { +constexpr char kLifoPolicy[] = "retriable_lifo"; +constexpr char kGroupByOwner[] = "group_by_owner"; +constexpr char kFifoPolicy[] = "retriable_fifo"; + /// Provides the policy on which worker to prioritize killing. class WorkerKillingPolicy { public: @@ -38,11 +44,11 @@ class WorkerKillingPolicy { /// \param system_memory snapshot of memory usage. /// /// \return the worker to kill and whether the task on the worker should be retried. - virtual std::pair, bool> SelectWorkerToKill( + virtual const std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const = 0; - virtual ~WorkerKillingPolicy() = default; + virtual ~WorkerKillingPolicy() {} protected: /// Returns debug string of the workers. @@ -59,6 +65,18 @@ class WorkerKillingPolicy { const MemorySnapshot &system_memory); }; +/// Prefers killing retriable workers over non-retriable ones, in LIFO order. +class RetriableLIFOWorkerKillingPolicy : public WorkerKillingPolicy { + public: + RetriableLIFOWorkerKillingPolicy(); + const std::pair, bool> SelectWorkerToKill( + const std::vector> &workers, + const MemorySnapshot &system_memory) const; +}; + +std::shared_ptr CreateWorkerKillingPolicy( + std::string killing_policy_str); + } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.cc b/src/ray/raylet/worker_killing_policy_group_by_owner.cc index 493e7c0a966d..97d7010d55c7 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.cc +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.cc @@ -24,8 +24,12 @@ #include #include +#include "absl/container/flat_hash_map.h" #include "absl/time/time.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" +#include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" namespace ray { @@ -34,7 +38,7 @@ namespace raylet { GroupByOwnerIdWorkerKillingPolicy::GroupByOwnerIdWorkerKillingPolicy() {} -std::pair, bool> +const std::pair, bool> GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const { diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.h b/src/ray/raylet/worker_killing_policy_group_by_owner.h index f3712d6a49ae..791126aab92d 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.h +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.h @@ -21,6 +21,7 @@ #include #include +#include "absl/container/flat_hash_set.h" #include "absl/time/clock.h" #include "absl/time/time.h" #include "ray/common/memory_monitor.h" @@ -87,7 +88,7 @@ struct Group { class GroupByOwnerIdWorkerKillingPolicy : public WorkerKillingPolicy { public: GroupByOwnerIdWorkerKillingPolicy(); - std::pair, bool> SelectWorkerToKill( + const std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const; diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc new file mode 100644 index 000000000000..1169caf35370 --- /dev/null +++ b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc @@ -0,0 +1,76 @@ +// Copyright 2022 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/raylet/worker_killing_policy_retriable_fifo.h" + +#include + +#include +#include +#include +#include +#include +#include + +#include "absl/container/flat_hash_map.h" +#include "absl/time/time.h" +#include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/asio/periodical_runner.h" +#include "ray/raylet/worker.h" +#include "ray/raylet/worker_killing_policy.h" +#include "ray/raylet/worker_pool.h" + +namespace ray { + +namespace raylet { + +RetriableFIFOWorkerKillingPolicy::RetriableFIFOWorkerKillingPolicy() {} + +const std::pair, bool> +RetriableFIFOWorkerKillingPolicy::SelectWorkerToKill( + const std::vector> &workers, + const MemorySnapshot &system_memory) const { + if (workers.empty()) { + RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; + return std::make_pair(nullptr, /*should retry*/ false); + } + + std::vector> sorted = workers; + + std::sort(sorted.begin(), + sorted.end(), + [](std::shared_ptr const &left, + std::shared_ptr const &right) -> bool { + // First sort by retriable leases and then by lease time in ascending order. + int left_retriable = + left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; + int right_retriable = + right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; + if (left_retriable == right_retriable) { + return left->GetGrantedLeaseTime() < right->GetGrantedLeaseTime(); + } + return left_retriable < right_retriable; + }); + + static const int32_t max_to_print = 10; + RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" + << WorkerKillingPolicy::WorkersDebugString( + sorted, max_to_print, system_memory); + + return std::make_pair(sorted.front(), /*should retry*/ true); +} + +} // namespace raylet + +} // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.h b/src/ray/raylet/worker_killing_policy_retriable_fifo.h new file mode 100644 index 000000000000..504456913d31 --- /dev/null +++ b/src/ray/raylet/worker_killing_policy_retriable_fifo.h @@ -0,0 +1,44 @@ +// Copyright 2022 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once + +#include + +#include +#include + +#include "absl/container/flat_hash_set.h" +#include "absl/time/clock.h" +#include "absl/time/time.h" +#include "ray/common/memory_monitor.h" +#include "ray/raylet/worker.h" +#include "ray/raylet/worker_killing_policy.h" + +namespace ray { + +namespace raylet { + +/// Prefers killing retriable workers over non-retriable ones, then in FIFO order. +class RetriableFIFOWorkerKillingPolicy : public WorkerKillingPolicy { + public: + RetriableFIFOWorkerKillingPolicy(); + const std::pair, bool> SelectWorkerToKill( + const std::vector> &workers, + const MemorySnapshot &system_memory) const; +}; + +} // namespace raylet + +} // namespace ray From 1820d0693de5b0b4826ee1e287caa4d1231513eb Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Fri, 26 Sep 2025 16:51:09 -0700 Subject: [PATCH 1429/1566] [core] remove unused redis start fixture (#56971) dead code; no longer used anywhere. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/tests/conftest.py | 21 --------------------- 1 file changed, 21 deletions(-) diff --git a/python/ray/tests/conftest.py b/python/ray/tests/conftest.py index 386f9f63baa0..0d8fc6427536 100644 --- a/python/ray/tests/conftest.py +++ b/python/ray/tests/conftest.py @@ -825,27 +825,6 @@ def call_ray_start_context(request): ray._common.utils.reset_ray_address() -@pytest.fixture -def call_ray_start_with_external_redis(request): - ports = getattr(request, "param", "6379") - port_list = ports.split(",") - for port in port_list: - temp_dir = ray._common.utils.get_ray_temp_dir() - start_redis_instance(temp_dir, int(port), password="123") - address_str = ",".join(map(lambda x: build_address("localhost", x), port_list)) - cmd = f"ray start --head --address={address_str} --redis-password=123" - subprocess.call(cmd.split(" ")) - - yield address_str.split(",")[0] - - # Disconnect from the Ray cluster. - ray.shutdown() - # Kill the Ray cluster. - subprocess.check_call(["ray", "stop"]) - # Delete the cluster address just in case. - ray._common.utils.reset_ray_address() - - @pytest.fixture def init_and_serve(): import ray.util.client.server.server as ray_client_server From f1197ac7e5702a17536602e01cd9c8e65b8ac551 Mon Sep 17 00:00:00 2001 From: Pim de Haan Date: Sat, 27 Sep 2025 03:52:13 +0200 Subject: [PATCH 1430/1566] [Data] (De)serialization of PyArrow Extension Arrays (#51972) ## Why are these changes needed? This feature adds the ability to (de)serialize arbitrary PyArrow extension arrays. This is needed to use Ray in code bases that use extension arrays. ~The serialization already seemed sufficiently general, but as far as I can tell, the deserialization can not be done in generality. Hence, this setup allows registration of custom deserializers for extension types.~ ~For serialization, the selector has been changed from `ExtensionType` to `BaseExtensionType` to accommodate for non-Python ExtensionArrays, like `pyarrow.FixedShapeTensorArray`.~ ~This is at the moment a proof-of-concept. If you like the idea, I suppose the registration function may need to move to a better place, and docs need adding.~ The implementation now works without registration on any extension type. ## Related issue number Closes #51959 ## Checks - [X] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [X] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [X] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [X] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Generalizes Arrow array (de)serialization to any `pyarrow.BaseExtensionType`, removing tensor-specific handling and adding tests for fixed/variable-shape tensors. > > - **Arrow (De)serialization**: > - Switch from tensor-specific checks to generic `pyarrow.BaseExtensionType` handling. > - Reconstruct extension arrays via `type.wrap_array(storage)`; serialize via storage payload wrapped with extension metadata. > - Remove `ray.air.util.tensor_extensions.arrow` dependencies and special-casing. > - **Tests**: > - Add roundtrip tests for `pa.FixedShapeTensorArray` and a custom variable-shape `ExtensionType`. > - Import `PicklableArrayPayload` in tests for constructing payloads. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 4bbcdbea7515b39513a41231b6f36ff551833e83. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). --------- Signed-off-by: Pim de Haan Signed-off-by: Douglas Strodtman --- python/ray/_private/arrow_serialization.py | 42 ++------------ .../data/tests/test_arrow_serialization.py | 58 +++++++++++++++++++ 2 files changed, 64 insertions(+), 36 deletions(-) diff --git a/python/ray/_private/arrow_serialization.py b/python/ray/_private/arrow_serialization.py index 925557d6d3d7..9af0f9e7c50c 100644 --- a/python/ray/_private/arrow_serialization.py +++ b/python/ray/_private/arrow_serialization.py @@ -13,8 +13,6 @@ if TYPE_CHECKING: import pyarrow - from ray.data.extensions import ArrowTensorArray - RAY_DISABLE_CUSTOM_ARROW_JSON_OPTIONS_SERIALIZATION = ( "RAY_DISABLE_CUSTOM_ARROW_JSON_OPTIONS_SERIALIZATION" ) @@ -240,12 +238,8 @@ def _array_payload_to_array(payload: "PicklableArrayPayload") -> "pyarrow.Array" """Reconstruct an Arrow Array from a possibly nested PicklableArrayPayload.""" import pyarrow as pa - from ray.air.util.tensor_extensions.arrow import get_arrow_extension_tensor_types - children = [child_payload.to_array() for child_payload in payload.children] - tensor_extension_types = get_arrow_extension_tensor_types() - if pa.types.is_dictionary(payload.type): # Dedicated path for reconstructing a DictionaryArray, since # Array.from_buffers() doesn't work for DictionaryArrays. @@ -258,16 +252,10 @@ def _array_payload_to_array(payload: "PicklableArrayPayload") -> "pyarrow.Array" assert len(children) == 3, len(children) offsets, keys, items = children return pa.MapArray.from_arrays(offsets, keys, items) - elif isinstance( - payload.type, - tensor_extension_types, - ): - # Dedicated path for reconstructing an ArrowTensorArray or - # ArrowVariableShapedTensorArray, both of which can't be reconstructed by the - # Array.from_buffers() API. + elif isinstance(payload.type, pa.BaseExtensionType): assert len(children) == 1, len(children) storage = children[0] - return pa.ExtensionArray.from_storage(payload.type, storage) + return payload.type.wrap_array(storage) else: # Common case: use Array.from_buffers() to construct an array of a certain type. return pa.Array.from_buffers( @@ -288,10 +276,6 @@ def _array_to_array_payload(a: "pyarrow.Array") -> "PicklableArrayPayload": """ import pyarrow as pa - from ray.air.util.tensor_extensions.arrow import get_arrow_extension_tensor_types - - tensor_extension_types = get_arrow_extension_tensor_types() - if _is_dense_union(a.type): # Dense unions are not supported. # TODO(Clark): Support dense unions. @@ -319,9 +303,7 @@ def _array_to_array_payload(a: "pyarrow.Array") -> "PicklableArrayPayload": return _dictionary_array_to_array_payload(a) elif pa.types.is_map(a.type): return _map_array_to_array_payload(a) - elif isinstance(a.type, tensor_extension_types): - return _tensor_array_to_array_payload(a) - elif isinstance(a.type, pa.ExtensionType): + elif isinstance(a.type, pa.BaseExtensionType): return _extension_array_to_array_payload(a) else: raise ValueError("Unhandled Arrow array type:", a.type) @@ -630,11 +612,9 @@ def _map_array_to_array_payload(a: "pyarrow.MapArray") -> "PicklableArrayPayload ) -def _tensor_array_to_array_payload(a: "ArrowTensorArray") -> "PicklableArrayPayload": - """Serialize tensor arrays to PicklableArrayPayload.""" - # Offset is propagated to storage array, and the storage array items align with the - # tensor elements, so we only need to do the straightforward creation of the storage - # array payload. +def _extension_array_to_array_payload( + a: "pyarrow.ExtensionArray", +) -> "PicklableArrayPayload": storage_payload = _array_to_array_payload(a.storage) return PicklableArrayPayload( type=a.type, @@ -646,16 +626,6 @@ def _tensor_array_to_array_payload(a: "ArrowTensorArray") -> "PicklableArrayPayl ) -def _extension_array_to_array_payload( - a: "pyarrow.ExtensionArray", -) -> "PicklableArrayPayload": - payload = _array_to_array_payload(a.storage) - payload.type = a.type - payload.length = len(a) - payload.null_count = a.null_count - return payload - - def _copy_buffer_if_needed( buf: "pyarrow.Buffer", type_: Optional["pyarrow.DataType"], diff --git a/python/ray/data/tests/test_arrow_serialization.py b/python/ray/data/tests/test_arrow_serialization.py index eb1da5d93dca..0a437920f908 100644 --- a/python/ray/data/tests/test_arrow_serialization.py +++ b/python/ray/data/tests/test_arrow_serialization.py @@ -16,6 +16,7 @@ import ray.data import ray.train from ray._private.arrow_serialization import ( + PicklableArrayPayload, _align_bit_offset, _bytes_for_bits, _copy_bitpacked_buffer_if_needed, @@ -595,3 +596,60 @@ def test_custom_arrow_data_serializer_disable(shutdown_only): assert d_view["a"].chunk(0).buffers()[1].size == t["a"].chunk(0).buffers()[1].size # Check that the serialized slice view is large assert len(s_view) > 0.8 * len(s_t) + + +def test_fixed_shape_tensor_array_serialization(): + a = pa.FixedShapeTensorArray.from_numpy_ndarray( + np.arange(4 * 2 * 3).reshape(4, 2, 3) + ) + payload = PicklableArrayPayload.from_array(a) + a2 = payload.to_array() + assert a == a2 + + +class _VariableShapeTensorType(pa.ExtensionType): + def __init__( + self, + value_type: pa.DataType, + ndim: int, + ) -> None: + self.value_type = value_type + self.ndim = ndim + super().__init__( + pa.struct( + [ + pa.field("data", pa.list_(value_type)), + pa.field("shape", pa.list_(pa.int32(), ndim)), + ] + ), + "variable_shape_tensor", + ) + + def __arrow_ext_serialize__(self) -> bytes: + return b"" + + @classmethod + def __arrow_ext_deserialize__(cls, storage_type: pa.DataType, serialized: bytes): + ndim = storage_type[1].type.list_size + value_type = storage_type[0].type.value_type + return cls(value_type, ndim) + + +def test_variable_shape_tensor_serialization(): + t = _VariableShapeTensorType(pa.float32(), 2) + ar = pa.array( + [ + { + "data": np.arange(2 * 3), + "shape": [2, 3], + }, + { + "data": np.arange(4 * 5), + "shape": [4, 5], + }, + ], + type=t, + ) + payload = PicklableArrayPayload.from_array(ar) + ar2 = payload.to_array() + assert ar == ar2 From 2197f990c9b3a76b8e1dd7a9a56d79b84746e846 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Fri, 26 Sep 2025 20:37:57 -0700 Subject: [PATCH 1431/1566] [deps] generating requirement files for docker images (#56634) creating requirement files for docker images --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- .../pre_hooks/build-placeholder-wheel.sh | 2 +- ci/raydepsets/rayimg.depsets.yaml | 39 + docker/base-deps/requirements.in | 13 + docker/base-extra/requirements.in | 12 + python/deplocks/ray_img/ray_img_py310.lock | 2 +- python/deplocks/ray_img/ray_img_py311.lock | 2 +- python/deplocks/ray_img/ray_img_py312.lock | 2 +- python/deplocks/ray_img/ray_img_py39.lock | 2 +- .../byod/ray_base_extra_testdeps_py3.10.lock | 4391 ++++++++++++ .../byod/ray_base_extra_testdeps_py3.11.lock | 2760 ++++++++ .../byod/ray_base_extra_testdeps_py3.12.lock | 2730 +++++++ .../byod/ray_base_extra_testdeps_py3.9.lock | 4612 ++++++++++++ .../ray_ml_base_extra_testdeps_py3.10.lock | 6021 ++++++++++++++++ .../ray_ml_base_extra_testdeps_py3.9.lock | 6285 +++++++++++++++++ .../byod/requirements_byod_3.10.in | 42 + .../byod/requirements_ml_byod_3.10.in | 59 + .../byod/requirements_ml_byod_3.9.in | 1 - 17 files changed, 26969 insertions(+), 6 deletions(-) create mode 100644 docker/base-deps/requirements.in create mode 100644 docker/base-extra/requirements.in create mode 100644 release/ray_release/byod/ray_base_extra_testdeps_py3.10.lock create mode 100644 release/ray_release/byod/ray_base_extra_testdeps_py3.11.lock create mode 100644 release/ray_release/byod/ray_base_extra_testdeps_py3.12.lock create mode 100644 release/ray_release/byod/ray_base_extra_testdeps_py3.9.lock create mode 100644 release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock create mode 100644 release/ray_release/byod/ray_ml_base_extra_testdeps_py3.9.lock create mode 100644 release/ray_release/byod/requirements_byod_3.10.in create mode 100644 release/ray_release/byod/requirements_ml_byod_3.10.in diff --git a/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh b/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh index 103271745687..9a4f78df54ee 100755 --- a/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh +++ b/ci/raydepsets/pre_hooks/build-placeholder-wheel.sh @@ -10,4 +10,4 @@ PYTHON_VERSION=$1 export RAY_DEBUG_BUILD=deps-only -uv build --wheel --directory python/ -o ../.whl/ --force-pep517 --python "$PYTHON_VERSION" +uv build --wheel --directory python/ -o ../.whl/ --python "$PYTHON_VERSION" diff --git a/ci/raydepsets/rayimg.depsets.yaml b/ci/raydepsets/rayimg.depsets.yaml index e170e99e1644..d0dbb8255558 100644 --- a/ci/raydepsets/rayimg.depsets.yaml +++ b/ci/raydepsets/rayimg.depsets.yaml @@ -24,6 +24,7 @@ depsets: append_flags: - --python-version=${PYTHON_VERSION} - --find-links=.whl/ + - --python-platform=linux build_arg_sets: - py39 - py310 @@ -32,3 +33,41 @@ depsets: pre_hooks: - ci/raydepsets/pre_hooks/build-placeholder-wheel.sh ${PYTHON_VERSION} - ci/raydepsets/pre_hooks/remove-compiled-headers.sh + + - name: ray_base_extra_testdeps_${PYTHON_SHORT} + operation: expand + requirements: + - release/ray_release/byod/requirements_byod_${PYTHON_VERSION}.in + - docker/base-deps/requirements.in + - docker/base-extra/requirements.in + constraints: + - python/requirements_compiled.txt + depsets: + - ray_img_depset_${PYTHON_SHORT} + output: release/ray_release/byod/ray_base_extra_testdeps_py${PYTHON_VERSION}.lock + append_flags: + - --python-version=${PYTHON_VERSION} + - --python-platform=linux + build_arg_sets: + - py39 + - py310 + - py311 + - py312 + + - name: ray_ml_base_extra_testdeps_${PYTHON_SHORT} + operation: expand + requirements: + - release/ray_release/byod/requirements_ml_byod_${PYTHON_VERSION}.in + - docker/base-deps/requirements.in + - docker/base-extra/requirements.in + constraints: + - python/requirements_compiled.txt + depsets: + - ray_img_depset_${PYTHON_SHORT} + output: release/ray_release/byod/ray_ml_base_extra_testdeps_py${PYTHON_VERSION}.lock + append_flags: + - --python-version=${PYTHON_VERSION} + - --python-platform=linux + build_arg_sets: + - py39 + - py310 diff --git a/docker/base-deps/requirements.in b/docker/base-deps/requirements.in new file mode 100644 index 000000000000..3d29d55d8db4 --- /dev/null +++ b/docker/base-deps/requirements.in @@ -0,0 +1,13 @@ +flatbuffers +cython +numpy # Necessary for Dataset to work properly. +psutil +# For the ease to submit jobs on various cloud providers. +smart_open[s3,gcs,azure,http] +six +boto3 +pyopenssl +cryptography +google-api-python-client +google-oauth +adlfs[abfs] diff --git a/docker/base-extra/requirements.in b/docker/base-extra/requirements.in new file mode 100644 index 000000000000..e5fde5b9da85 --- /dev/null +++ b/docker/base-extra/requirements.in @@ -0,0 +1,12 @@ +azure-identity +jupyterlab +ipywidgets +grpcio +grpcio-tools + +# Pinning jupyter_server_terminals==0.4.4 , the higher version will break the +# webterminal when using an older version of terminado. +jupyter_server_terminals==0.4.4 + +# [backend] is for installing anyscale CLI for use in the anyscale cloud. +anyscale[backend] diff --git a/python/deplocks/ray_img/ray_img_py310.lock b/python/deplocks/ray_img/ray_img_py310.lock index 7ce462f0f4ed..de5e8f5f6e5c 100644 --- a/python/deplocks/ray_img/ray_img_py310.lock +++ b/python/deplocks/ray_img/ray_img_py310.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py310.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --find-links=.whl/ --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py310.lock --index-url https://pypi.org/simple --find-links .whl/ diff --git a/python/deplocks/ray_img/ray_img_py311.lock b/python/deplocks/ray_img/ray_img_py311.lock index 311f21c99973..d31a65c66784 100644 --- a/python/deplocks/ray_img/ray_img_py311.lock +++ b/python/deplocks/ray_img/ray_img_py311.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py311.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --find-links=.whl/ --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py311.lock --index-url https://pypi.org/simple --find-links .whl/ diff --git a/python/deplocks/ray_img/ray_img_py312.lock b/python/deplocks/ray_img/ray_img_py312.lock index bfc06111af50..8f8958f6d20d 100644 --- a/python/deplocks/ray_img/ray_img_py312.lock +++ b/python/deplocks/ray_img/ray_img_py312.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py312.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --find-links=.whl/ --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py312.lock --index-url https://pypi.org/simple --find-links .whl/ diff --git a/python/deplocks/ray_img/ray_img_py39.lock b/python/deplocks/ray_img/ray_img_py39.lock index 2bc5ac0e9245..f98d0f567b4d 100644 --- a/python/deplocks/ray_img/ray_img_py39.lock +++ b/python/deplocks/ray_img/ray_img_py39.lock @@ -1,5 +1,5 @@ # This file was autogenerated by uv via the following command: -# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --find-links=.whl/ -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py39.lock +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --find-links=.whl/ --python-platform=linux -c /tmp/ray-deps/requirements_compiled.txt - -o python/deplocks/ray_img/ray_img_py39.lock --index-url https://pypi.org/simple --find-links .whl/ diff --git a/release/ray_release/byod/ray_base_extra_testdeps_py3.10.lock b/release/ray_release/byod/ray_base_extra_testdeps_py3.10.lock new file mode 100644 index 000000000000..d816ab2beae9 --- /dev/null +++ b/release/ray_release/byod/ray_base_extra_testdeps_py3.10.lock @@ -0,0 +1,4391 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_byod_3.10.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_base_extra_testdeps_py3.10.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +absl-py==1.4.0 \ + --hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \ + --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d + # via + # -c python/requirements_compiled.txt + # tensorboard + # tensorflow +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiobotocore==2.8.0 \ + --hash=sha256:32e632fea387acd45416c2bbc03828ee2c2a66a7dc4bd3a9bcb808dea249c469 \ + --hash=sha256:f160497cef21cfffc1a8d4219eeb27bb7b243389c2d021a812b9c0e3fb8e2bd1 + # via + # -c python/requirements_compiled.txt + # s3fs +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # adlfs + # aiobotocore + # anyscale + # gcsfs + # google-auth + # s3fs +aioitertools==0.11.0 \ + --hash=sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394 \ + --hash=sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831 + # via + # -c python/requirements_compiled.txt + # aiobotocore +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +ale-py==0.10.1 \ + --hash=sha256:076a44a61c2518b844f765692a91d0a6b383c6592b5fdabd94fd24d4c62a54ef \ + --hash=sha256:0835ee11004efeb5a9805a09c1525242f737257a8a4f5f4f0b9b3e047e6dca86 \ + --hash=sha256:12617edc9799c73570df67a731a4293bcfd500f413e0bfa867b53fc411fa7629 \ + --hash=sha256:24b9e61a4e868a4266f8a0ef7809cc20cecedb8c10d515d14ff6078950d51d8b \ + --hash=sha256:24f7aa19e1b3b1540516942020a95f57964af71285497620e58f03b2c113424e \ + --hash=sha256:3971a8552d2f982f569c87152479901574a9fe86410e5d1a26276e7ffccb59e1 \ + --hash=sha256:3d82d81715f15598b9db50529da971d36117cda027af9d112bd2ea22cefe3bcb \ + --hash=sha256:43d63b262f4b3bfcd567ce736a5648b4193470b2691bc14e38ac0c05dfe2a7e2 \ + --hash=sha256:4dd55a52e074497f1143785a215a50706afba3111be8b4923d46cc507c16be8f \ + --hash=sha256:4f3aaea36c1671812c21b5f7c5dcf9f5f9c726f5b10cbe7a657a844de963bb55 \ + --hash=sha256:5d4f326236c95736182323a480363c7b98959fc9a4ba09d2aa5b152faa6a2d59 \ + --hash=sha256:6f0a3da4ff47f913b5c61e66571fe7fb92fc569e5babdf4b0eeee348aac1d457 \ + --hash=sha256:771d5a1cd5a50d2cf226eba45c418fb7a18b453bd332b6a2189310030eda421a \ + --hash=sha256:7733d521921452b9e644e9e31e4d5b1ba612305473c5ba0266cafb7eff6a5461 \ + --hash=sha256:82c676030b8b6543cb6969a905ff841ae6f086a2efe707542d014ef6ca4ada4e \ + --hash=sha256:92a31bd44687c6a3595fcdac35bc3238e305dd604171ba6a9cb7912bc83c99ee \ + --hash=sha256:9f30d763c38063e5579783844868c1330f89049f252e94c49534785515f785f2 \ + --hash=sha256:9fa3f3977f63b685394301432cba7fe417882cfea72424d75aaf6bf98f79a2c9 \ + --hash=sha256:b84025670cf37527348a417d7465ee193a19d0a336bcd62f943957c13fef6ebb \ + --hash=sha256:c43308af7013cb60c6f5e77cba2b9ccaed2f5e2ae444b365dce9b7ac3bb5d48f \ + --hash=sha256:c77653e47d79e60abcc21bfad7dd105784ce2649fc5bc4eaaa1de45b40112772 \ + --hash=sha256:c9fac7fe11c56ed301a409d8a940f3e764ed2929b756ebb033eadf492a3d696e \ + --hash=sha256:d3247ad68f7dda1f9c046ede74310e347114f2c191a9f4cd247f432410941eb9 \ + --hash=sha256:e0637ddc4074b814ae46db28d61aface08d7eba16ea713cdfe0734e0b18c3794 \ + --hash=sha256:f6f91ab4b2a18e24c82a33fd1d616f32d121fcd6429f9045d515960df8cdc580 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # gymnasium +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # httpx + # jupyter-server + # starlette +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +argcomplete==3.3.0 \ + --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ + --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 + # via + # -c python/requirements_compiled.txt + # gsutil +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # isoduration +asciitree==0.3.3 \ + --hash=sha256:4aa4b9b649f85e3fcb343363d97564aa1fb62e249677f2e18a96765145cc0f6e + # via zarr +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # stack-data +astunparse==1.6.3 \ + --hash=sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872 \ + --hash=sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8 + # via + # -c python/requirements_compiled.txt + # tensorflow +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # nbconvert +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # nbconvert +boto==2.49.0 \ + --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ + --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # aiobotocore + # anyscale + # boto3 + # s3transfer +brotli==1.1.0 \ + --hash=sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208 \ + --hash=sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48 \ + --hash=sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354 \ + --hash=sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419 \ + --hash=sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a \ + --hash=sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128 \ + --hash=sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c \ + --hash=sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088 \ + --hash=sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9 \ + --hash=sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a \ + --hash=sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3 \ + --hash=sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757 \ + --hash=sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2 \ + --hash=sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438 \ + --hash=sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578 \ + --hash=sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b \ + --hash=sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b \ + --hash=sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68 \ + --hash=sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0 \ + --hash=sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d \ + --hash=sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943 \ + --hash=sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd \ + --hash=sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409 \ + --hash=sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28 \ + --hash=sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da \ + --hash=sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50 \ + --hash=sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f \ + --hash=sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0 \ + --hash=sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547 \ + --hash=sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180 \ + --hash=sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0 \ + --hash=sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d \ + --hash=sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a \ + --hash=sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb \ + --hash=sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112 \ + --hash=sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc \ + --hash=sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2 \ + --hash=sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265 \ + --hash=sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327 \ + --hash=sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95 \ + --hash=sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec \ + --hash=sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd \ + --hash=sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c \ + --hash=sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38 \ + --hash=sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914 \ + --hash=sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0 \ + --hash=sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a \ + --hash=sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7 \ + --hash=sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368 \ + 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--hash=sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966 \ + --hash=sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9 \ + --hash=sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97 \ + --hash=sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d \ + --hash=sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5 \ + --hash=sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf \ + --hash=sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac \ + --hash=sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b \ + --hash=sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951 \ + --hash=sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74 \ + --hash=sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648 \ + --hash=sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60 \ + 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--hash=sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474 \ + --hash=sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75 \ + --hash=sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5 \ + --hash=sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f \ + --hash=sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2 \ + --hash=sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f \ + --hash=sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb \ + --hash=sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6 \ + --hash=sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9 \ + --hash=sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111 \ + --hash=sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2 \ + --hash=sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01 \ + --hash=sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467 \ + --hash=sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619 \ + --hash=sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf \ + --hash=sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408 \ + --hash=sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579 \ + --hash=sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84 \ + --hash=sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7 \ + --hash=sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c \ + --hash=sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284 \ + --hash=sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52 \ + --hash=sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b \ + --hash=sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59 \ + --hash=sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752 \ + --hash=sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1 \ + --hash=sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80 \ + --hash=sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839 \ + --hash=sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0 \ + --hash=sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2 \ + --hash=sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3 \ + --hash=sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64 \ + --hash=sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089 \ + --hash=sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643 \ + --hash=sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b \ + --hash=sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e \ + --hash=sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985 \ + --hash=sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596 \ + --hash=sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2 \ + --hash=sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064 + # via geventhttpclient +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # anyscale + # geventhttpclient + # httpcore + # httpx + # requests +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # anyscale + # flask + # typer +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # gymnasium +cmake==4.1.0 \ + --hash=sha256:0e2fea746d746f52aa52b8498777ff665a0627d9b136bec4ae0465c38b75e799 \ + --hash=sha256:2a8790473afbb895b8e684e479f26773e4fc5c86845e3438e8488d38de9db807 \ + --hash=sha256:2d9f14b7d58e447865c111b3b90945b150724876866f5801c80970151718f710 \ + --hash=sha256:3ee38de00cad0501c7dd2b94591522381e3ef9c8468094f037a17ed9e478ef13 \ + --hash=sha256:4e3a30a4f72a8a6d8d593dc289e791f1d84352c1f629543ac8e22c62dbadb20a \ + --hash=sha256:574448a03acdf34c55a7c66485e7a8260709e8386e9145708e18e2abe5fc337b \ + --hash=sha256:5a28a87601fa5e775017bf4f5836e8e75091d08f3e5aac411256754ba54fe5c4 \ + --hash=sha256:69df62445b22d78c2002c22edeb0e85590ae788e477d222fb2ae82c871c33090 \ + --hash=sha256:7219b7e85ed03a98af89371b9dee762e236ad94e8a09ce141070e6ac6415756f \ + --hash=sha256:76e8e7d80a1a9bb5c7ec13ec8da961a8c5a997247f86a08b29f0c2946290c461 \ + --hash=sha256:7c7999c5a1d5a3a66adacc61056765557ed253dc7b8e9deab5cae546f4f9361c \ + --hash=sha256:8d39bbfee7c181e992875cd390fc6d51a317c9374656b332021a67bb40c0b07f \ + --hash=sha256:b8c2538fb557b9edd74d48c189fcde42a55ad7e2c39e04254f8c5d248ca1af4c \ + --hash=sha256:bacdd21aebdf9a42e5631cfb365beb8221783fcd27c4e04f7db8b79c43fb12df \ + --hash=sha256:c6bd346fe4d9c205310ef9a6e09ced7e610915fa982d7b649f9b12caa6fa0605 \ + --hash=sha256:d54e68d5439193265fd7211671420601f6a672b8ca220f19e6c72238b41a84c2 \ + --hash=sha256:dab375932f5962e078da8cf76ca228c21bf4bea9ddeb1308e2b35797fa30f784 \ + --hash=sha256:e77ac2554a7b8a94745add465413e3266b714766e9a5d22ac8e5b36a900a1136 \ + --hash=sha256:f2eaa6f0a25e31fe09fb0b7f40fbf208eea5f1313093ff441ecfff7dc1b80adf + # via -r release/ray_release/byod/requirements_byod_3.10.in +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # log-symbols +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets +configargparse==1.7.1 \ + --hash=sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9 \ + --hash=sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6 + # via locust +crc32c==2.3 \ + --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ + --hash=sha256:0c1f3e28b8aec8a0f7727337fafa31f0ace38e59e054c51fecb923535c6dc6e6 \ + --hash=sha256:17ce6c596ad0d53df52dcd72defb66984aeabd98fbefea7ba848a6b6bdece36a \ + --hash=sha256:1d334d51d395f78fb649e8442341da782e63d3f9552fcfbc040995d24d4b794d \ + --hash=sha256:250af144edce7850a35c618b4dd1bf56436e031560228c17a7c78bf29239ceb0 \ + --hash=sha256:255e35719c252ce7609cb3f1c5a045783a6e0d6d7b035d507ddd82d5194c236a \ + --hash=sha256:327e44184826cd1c72bcd4a9b2c4badfd29501333e158460c7d3ad8b7f066588 \ + --hash=sha256:32c573dd861933e2390932cc10e1b78d71ee7827ee4dfcec96e23cf007a1a6d3 \ + --hash=sha256:374d288cc1735932276bc65670db329dd9fe2af4ec323599dc40e1212b13985e \ + --hash=sha256:3f372a53e9cf2464421b82b41fb66d98f654284c8fc4363f51bb0f5485fdc2b4 \ + --hash=sha256:4323f56908b7e5cea039122aad039fcf750974b09e4f993244d4dddb24cab561 \ + --hash=sha256:47088e524a9ec2887ae0ec519d75df40f005debf9d52f10e688f27e7cc0d339c \ + --hash=sha256:4ab21f02c13dc5a0411838d0709cb4d24bcb865ea28b683b7403826c08d14e27 \ + --hash=sha256:4ac8738e9cd28948e40fb3a3c89a44660e4ad266f7726964200224e101f5c8ef \ + --hash=sha256:4d223e844ee61ac492f0197b62ccc2a9c23db15e4d2938e698fec6eded0daf15 \ + --hash=sha256:554bc2a9ccfa7c02bb8a5346fd546b65ed265965e7fea768c7f2681f2b68d6a0 \ + --hash=sha256:5612be1606eec55511ade38deec40c9f1c7647ec0407a4031e0a2e6e6a635f27 \ + --hash=sha256:5a13d41a29d3feea5ba87def9d4dccc3362139345a24997de33fad00b656622b \ + --hash=sha256:5aa6383c0a13a542c3f1eb82a02e29c1141e0a2bc63faedd0062d1c41649989f \ + --hash=sha256:5ddf91756d6275f497d0895b8875d1f1fdac6be08a5900f4123ede2c91cd1422 \ + --hash=sha256:5e076ae46ac0e4e28eb43932c5c0b8e1b8751bb7d1b0d239f18230aed7cca3bf \ + --hash=sha256:5f347244590f294eaea2e92546100bd56db926305e0603a0d57a88e59f86b308 \ + --hash=sha256:61479a60d5a2b3160a4ae17b37df119963a741fd61ca71d4792670cdf7d7ea41 \ + --hash=sha256:682974e2cfb199ebc4adc5eb4d493dbcf83812a031a8ecccae5a7b5bcade5d9f \ + --hash=sha256:6872d8728f30f2a13f95762801428cf92a7ee6f170c872be81a17b1549b69131 \ + --hash=sha256:6b7c71a3ae1511c42b7919e6116560c08ba89479ea249f281c5bfba2b619411d \ + --hash=sha256:7eb1fea3d9ec71f353a6c38648d074e722fff1f43c1998ae6088dbee324a1ca6 \ + --hash=sha256:7ec3d9257d0624fb74335f67592b6a30de5e0cfb60322ed8682e35820decac8f \ + --hash=sha256:8067ce072908626869b583700da6b4bfc9a538975d77232ae68a31d8af5f1ff6 \ + --hash=sha256:82942ed343e5c884b5c0c9aa6bb5bb47de0247df95ce5d154cc48744d5c2ffd4 \ + --hash=sha256:8363b553b33719b37fff46378a6e96106fd9232d2e043eebb6c6da46925c7663 \ + --hash=sha256:865bf66d86809971d4856e38085a4a15a7251b8e780f22ad52e12b50784dac25 \ + --hash=sha256:866d1cbe646bdef67fc225371da265f081809bcf238bf562d6874c97e7fcb0d6 \ + --hash=sha256:8948a9262d36e2aad3be74aac3ce7a1b090ab2361f7619b3f23418fa536f1b25 \ + --hash=sha256:896bda76db13f229c1126d5e384673f78e06685e70d76fff4c5a3f65b4068b4d \ + --hash=sha256:8ab9df0bd9bf10f3d5bd346321d48da8a28392b1f48f7a6fa3234acebe6ee448 \ + --hash=sha256:90c46644225dc7f71b4dd499ed71ada59d061fd60aa55233270d088ee8cfcd13 \ + --hash=sha256:9ce72a40c17636af97e37bad2f2c11a2e740f57d4051ef586c04d1aa83db8b38 \ + --hash=sha256:a2427a9196c2b8b1c27d7e31cc5c9fff13af0b1411ff1565459f65554990f055 \ + --hash=sha256:a423c098ceffbd70544d1de3e00eeb45ec4b8463ab5d8005389fbbf3243314d1 \ + --hash=sha256:a51ac079c44297bbf624a598cffe6f85bd0a5faf780fd75d2d5e531d42d427ef \ + --hash=sha256:a5560faa3f673183eb1e2fc2c1361cc9ab86865a1d5774baf61fec9ca6c1a696 \ + --hash=sha256:a7d568eb07473d9bc6fb413a4d3248265212c537b80d494ab884cc5316589110 \ + --hash=sha256:ad57917650af59c989b62184fc4604d6c5066fc030ced4c6e07a596000f1ab86 \ + --hash=sha256:ad83e4c78379cc3e22b760e9874bc57f91a9cfb85107ccba1c6442bc1a2e2a1c \ + --hash=sha256:b04c44ad7cde9c21ad426bdfa675ba7039db82a6961c99690f9d2ff2f034c892 \ + --hash=sha256:b917b73d810bcdbcd1461978ba55038dcf2bbc3b56704b0082d2f9b0d5edc7ad \ + --hash=sha256:c04a27ba3cbc7a9e34c77f402bd3a83442a2c7acd3897d2539b1a3321ed28a6a \ + --hash=sha256:c59c6ea67ab927b2ab958c7b01a6b17c9cad882e7a1da51b9c35fbc9874ff46a \ + --hash=sha256:c74d81a00972cbe65e27e99838b44ed5e04bced971e5bfa01c27a4bd17138442 \ + --hash=sha256:ca03d8d5b35a26e0d3eb8c7121de3e37a59042735029eabcf1c4b15343f82cdd \ + --hash=sha256:cea0fe7053e36a4809e5bf95989552f52c98bbc94dca9062fb5b8c976daa0f32 \ + --hash=sha256:d27116037f97a02f1a123ca82008ee993c28afe8590e047a6cd86aca33653cca \ + --hash=sha256:d82fa5bb0661a7a508e62730d4d9045f53d4ab6a9211b560a014f1d58a8337cb \ + --hash=sha256:dce1deda03c6dbe0f5ae6e3e0f8671caead64075fd19a61b1700d42a88af97c8 \ + --hash=sha256:dd9bc7e5599f5970fff1f9aa551639336a76d1bb1fb00f0b87704049df8ba035 \ + --hash=sha256:df19ab6ab3884a237388c7720b1fe617dd4893305f62383d0f96fc7980dfdf7c \ + --hash=sha256:e14f4d57e004fa5a6100ea3aeb9574bee6f95965a96a382154fa40aee1fdeb5e \ + --hash=sha256:e6e16d57b8103fee9fdecb38e908d9ceb70d2196bb932dba64bf7b570f44c0b9 \ + --hash=sha256:ed14214fcc1416e0dc63be4c88aad7f58e0f0cb2c22d578b861e8fc19d1b2d2f \ + --hash=sha256:ef1165f7f36edaae03fcf03f1ca3bdbf196a5255d656bfb17959ba0405a2c8ee \ + --hash=sha256:f1679f7f700f2aec3dbee4e357a2fdde53e2ec151dde4e0b52a9205fac273a90 \ + --hash=sha256:f524fd202472d041b9bddb4a51b5fff28767a9c69953dbcdeecc67ef65707c07 \ + --hash=sha256:f641a9bd24a309637cca6c119b8aabdfe6d41bab5ea630124ee9be7891e36ba1 \ + --hash=sha256:f9a070dbe10dac29c2f591a59300c37448e3c7a747b6ea18d4826b7c94a956bd \ + --hash=sha256:fac1b4248625acd65985378f6b34a00b73cfc9db5b8ccc73101744de2e3dfa66 \ + --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +crcmod==1.7 \ + --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e + # via + # -c python/requirements_compiled.txt + # gsutil +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_byod_3.10.in +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # gcsfs + # ipython +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # nbconvert +dill==0.3.7 \ + --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ + --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 + # via + # -c python/requirements_compiled.txt + # petastorm +diskcache==5.6.3 \ + --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ + --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 + # via petastorm +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # jupyter-client + # nbconvert +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via + # anyio + # pytest +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # stack-data +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +fasteners==0.19 \ + --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ + --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c + # via + # -c python/requirements_compiled.txt + # google-apitools + # gsutil + # zarr +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # nbformat +flask==2.1.3 \ + --hash=sha256:15972e5017df0575c3d6c090ba168b6db90259e620ac8d7ea813a396bad5b6cb \ + --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c + # via + # -c python/requirements_compiled.txt + # flask-basicauth + # flask-cors + # locust +flask-basicauth==0.2.0 \ + --hash=sha256:df5ebd489dc0914c224419da059d991eb72988a01cdd4b956d52932ce7d501ff + # via locust +flask-cors==4.0.0 \ + --hash=sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783 \ + --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 + # via + # -c python/requirements_compiled.txt + # locust +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # tensorflow +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # adlfs + # gcsfs + # petastorm + # s3fs +future==1.0.0 \ + --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ + --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 + # via + # -c python/requirements_compiled.txt + # petastorm +gast==0.6.0 \ + --hash=sha256:52b182313f7330389f72b069ba00f174cfe2a06411099547288839c6cbafbd54 \ + --hash=sha256:88fc5300d32c7ac6ca7b515310862f71e6fdf2c029bbec7c66c0f5dd47b6b1fb + # via + # -c python/requirements_compiled.txt + # tensorflow +gcs-oauth2-boto-plugin==3.0 \ + --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 + # via + # -c python/requirements_compiled.txt + # gsutil +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c + # via -r release/ray_release/byod/requirements_byod_3.10.in +gevent==24.2.1 \ + --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ + --hash=sha256:117e5837bc74a1673605fb53f8bfe22feb6e5afa411f524c835b2ddf768db0de \ + --hash=sha256:141a2b24ad14f7b9576965c0c84927fc85f824a9bb19f6ec1e61e845d87c9cd8 \ + --hash=sha256:14532a67f7cb29fb055a0e9b39f16b88ed22c66b96641df8c04bdc38c26b9ea5 \ + --hash=sha256:1dffb395e500613e0452b9503153f8f7ba587c67dd4a85fc7cd7aa7430cb02cc \ + --hash=sha256:2955eea9c44c842c626feebf4459c42ce168685aa99594e049d03bedf53c2800 \ + --hash=sha256:2ae3a25ecce0a5b0cd0808ab716bfca180230112bb4bc89b46ae0061d62d4afe \ + --hash=sha256:2e9ac06f225b696cdedbb22f9e805e2dd87bf82e8fa5e17756f94e88a9d37cf7 \ + --hash=sha256:368a277bd9278ddb0fde308e6a43f544222d76ed0c4166e0d9f6b036586819d9 \ + --hash=sha256:3adfb96637f44010be8abd1b5e73b5070f851b817a0b182e601202f20fa06533 \ + --hash=sha256:3d5325ccfadfd3dcf72ff88a92fb8fc0b56cacc7225f0f4b6dcf186c1a6eeabc \ + --hash=sha256:432fc76f680acf7cf188c2ee0f5d3ab73b63c1f03114c7cd8a34cebbe5aa2056 \ + --hash=sha256:44098038d5e2749b0784aabb27f1fcbb3f43edebedf64d0af0d26955611be8d6 \ + --hash=sha256:5a1df555431f5cd5cc189a6ee3544d24f8c52f2529134685f1e878c4972ab026 \ + --hash=sha256:6c47ae7d1174617b3509f5d884935e788f325eb8f1a7efc95d295c68d83cce40 \ + --hash=sha256:6f947a9abc1a129858391b3d9334c45041c08a0f23d14333d5b844b6e5c17a07 \ + --hash=sha256:782a771424fe74bc7e75c228a1da671578c2ba4ddb2ca09b8f959abdf787331e \ + --hash=sha256:7899a38d0ae7e817e99adb217f586d0a4620e315e4de577444ebeeed2c5729be \ + --hash=sha256:7b00f8c9065de3ad226f7979154a7b27f3b9151c8055c162332369262fc025d8 \ + --hash=sha256:8f4b8e777d39013595a7740b4463e61b1cfe5f462f1b609b28fbc1e4c4ff01e5 \ + --hash=sha256:90cbac1ec05b305a1b90ede61ef73126afdeb5a804ae04480d6da12c56378df1 \ + --hash=sha256:918cdf8751b24986f915d743225ad6b702f83e1106e08a63b736e3a4c6ead789 \ + --hash=sha256:9202f22ef811053077d01f43cc02b4aaf4472792f9fd0f5081b0b05c926cca19 \ + --hash=sha256:94138682e68ec197db42ad7442d3cf9b328069c3ad8e4e5022e6b5cd3e7ffae5 \ + --hash=sha256:968581d1717bbcf170758580f5f97a2925854943c45a19be4d47299507db2eb7 \ + --hash=sha256:9d8d0642c63d453179058abc4143e30718b19a85cbf58c2744c9a63f06a1d388 \ + --hash=sha256:a7ceb59986456ce851160867ce4929edaffbd2f069ae25717150199f8e1548b8 \ + --hash=sha256:b9913c45d1be52d7a5db0c63977eebb51f68a2d5e6fd922d1d9b5e5fd758cc98 \ + --hash=sha256:bde283313daf0b34a8d1bab30325f5cb0f4e11b5869dbe5bc61f8fe09a8f66f3 \ + --hash=sha256:bf5b9c72b884c6f0c4ed26ef204ee1f768b9437330422492c319470954bc4cc7 \ + --hash=sha256:ca80b121bbec76d7794fcb45e65a7eca660a76cc1a104ed439cdbd7df5f0b060 \ + --hash=sha256:cdf66977a976d6a3cfb006afdf825d1482f84f7b81179db33941f2fc9673bb1d \ + --hash=sha256:d4faf846ed132fd7ebfbbf4fde588a62d21faa0faa06e6f468b7faa6f436b661 \ + --hash=sha256:d7f87c2c02e03d99b95cfa6f7a776409083a9e4d468912e18c7680437b29222c \ + --hash=sha256:dd23df885318391856415e20acfd51a985cba6919f0be78ed89f5db9ff3a31cb \ + --hash=sha256:f5de3c676e57177b38857f6e3cdfbe8f38d1cd754b63200c0615eaa31f514b4f \ + --hash=sha256:f5e8e8d60e18d5f7fd49983f0c4696deeddaf6e608fbab33397671e2fcc6cc91 \ + --hash=sha256:f7cac622e11b4253ac4536a654fe221249065d9a69feb6cdcd4d9af3503602e0 \ + --hash=sha256:f8a04cf0c5b7139bc6368b461257d4a757ea2fe89b3773e494d235b7dd51119f \ + --hash=sha256:f8bb35ce57a63c9a6896c71a285818a3922d8ca05d150fd1fe49a7f57287b836 \ + --hash=sha256:fbfdce91239fe306772faab57597186710d5699213f4df099d1612da7320d682 + # via + # geventhttpclient + # locust +geventhttpclient==2.3.4 \ + --hash=sha256:0129ce7ef50e67d66ea5de44d89a3998ab778a4db98093d943d6855323646fa5 \ + --hash=sha256:024b9e2e3203cc5e2c34cb5efd16ba0f2851e39c45abdc2966a8c30a935094fc \ + --hash=sha256:04a3328e687c419f78926a791df48c7672e724fa75002f2d3593df96510696e6 \ + --hash=sha256:0599fd7ca84a8621f8d34c4e2b89babae633b34c303607c61500ebd3b8a7687a \ + --hash=sha256:063991edd5468401377116cc2a71361a88abce9951f60ba15b7fe1e10ce00f25 \ + --hash=sha256:07152cad33b39d365f239b4fa1f818f4801c07e16ce0a0fee7d5fee2cabcb07b \ + --hash=sha256:08ea2e92a1a4f46d3eeff631fa3f04f4d12c78523dc9bffc3b05b3dd93233050 \ + --hash=sha256:110d863baf7f0a369b6c22be547c5582e87eea70ddda41894715c870b2e82eb0 \ + --hash=sha256:142870c2efb6bd0a593dcd75b83defb58aeb72ceaec4c23186785790bd44a311 \ + --hash=sha256:15b2567137734183efda18e4d6245b18772e648b6a25adea0eba8b3a8b0d17e8 \ + --hash=sha256:1749f75810435a001fc6d4d7526c92cf02b39b30ab6217a886102f941c874222 \ + --hash=sha256:182f5158504ac426d591cfb1234de5180813292b49049e761f00bf70691aace5 \ + --hash=sha256:195e396c59f25958ad6f79d2c58431cb8b1ff39b5821e6507bf539c79b5681dc \ + --hash=sha256:19721357db976149ccf54ac279eab8139da8cdf7a11343fd02212891b6f39677 \ + --hash=sha256:1c69c4ec9b618ca42008d6930077d72ee0c304e2272a39a046e775c25ca4ac44 \ + --hash=sha256:1d23fe37b9d79b17dbce2d086006950d4527a2f95286046b7229e1bd3d8ac5e4 \ + --hash=sha256:20c65d404fa42c95f6682831465467dff317004e53602c01f01fbd5ba1e56628 \ + --hash=sha256:226d9fca98469bd770e3efd88326854296d1aa68016f285bd1a2fb6cd21e17ee \ + --hash=sha256:227579b703085c4e5c6d5217ad6565b19ac8d1164404133e5874efaae1905114 \ + --hash=sha256:2335963f883a94f503b321f7abfb38a4efbca70f9453c5c918cca40a844280cd \ + --hash=sha256:2574ee47ff6f379e9ef124e2355b23060b81629f1866013aa975ba35df0ed60b \ + --hash=sha256:2a8cde016e5ea6eb289c039b6af8dcef6c3ee77f5d753e57b48fe2555cdeacca \ + --hash=sha256:2fa223034774573218bb49e78eca7e92b8c82ccae9d840fdcf424ea95c2d1790 \ + --hash=sha256:30671bb44f5613177fc1dc7c8840574d91ccd126793cd40fc16915a4abc67034 \ + --hash=sha256:389d3f83316220cfa2010f41401c140215a58ddba548222e7122b2161e25e391 \ + --hash=sha256:39746bcd874cb75aaf6d16cdddd287a29721e8b56c20dd8a4d4ecde1d3b92f14 \ + --hash=sha256:3a74f7b926badb3b1d47ea987779cb83523a406e89203070b58b20cf95d6f535 \ + --hash=sha256:407cb68a3c3a2c4f5d503930298f2b26ae68137d520e8846d8e230a9981d9334 \ + --hash=sha256:416cc70adb3d34759e782d2e120b4432752399b85ac9758932ecd12274a104c3 \ + --hash=sha256:41f2dcc0805551ea9d49f9392c3b9296505a89b9387417b148655d0d8251b36e \ + --hash=sha256:42b6f6afb0d3aab6a013c9cdb97e19bf4fe08695975670d0a018113d24cb344c \ + --hash=sha256:4371b1b1afc072ad2b0ff5a8929d73ffd86d582908d3e9e8d7911dc027b1b3a6 \ + --hash=sha256:44e9ba810c28f9635e5c4c9cf98fc6470bad5a3620d8045d08693f7489493a3c \ + --hash=sha256:461e4d9f4caee481788ec95ac64e0a4a087c1964ddbfae9b6f2dc51715ba706c \ + --hash=sha256:46eda9a9137b0ca7886369b40995d2a43a5dff033d0a839a54241015d1845d41 \ + --hash=sha256:47dbf8a163a07f83b38b0f8a35b85e5d193d3af4522ab8a5bbecffff1a4cd462 \ + --hash=sha256:49f5e2051f7d06cb6476500a2ec1b9737aa3160258f0344b07b6d8e8cda3a0cb \ + --hash=sha256:4b802000a4fad80fa57e895009671d6e8af56777e3adf0d8aee0807e96188fd9 \ + --hash=sha256:4c24db3faa829244ded6805b47aec408df2f5b15fe681e957c61543070f6e405 \ + --hash=sha256:4e39ad577b33a5be33b47bff7c2dda9b19ced4773d169d6555777cd8445c13c0 \ + --hash=sha256:4e492b9ab880f98f8a9cc143b96ea72e860946eae8ad5fb2837cede2a8f45154 \ + --hash=sha256:501d5c69adecd5eaee3c22302006f6c16aa114139640873b72732aa17dab9ee7 \ + --hash=sha256:503db5dd0aa94d899c853b37e1853390c48c7035132f39a0bab44cbf95d29101 \ + --hash=sha256:525bd192705b5cb41a7cc3fe41fca194bfd6b5b59997ab9fe68fe0a82dab6140 \ + --hash=sha256:54fbbcca2dcf06f12a337dd8f98417a09a49aa9d9706aa530fc93acb59b7d83c \ + --hash=sha256:5660dfd692bc2cbd3bd2d0a2ad2a58ec47f7778042369340bdea765dc10e5672 \ + --hash=sha256:59a2e7c136a3e6b60b87bf8b87e5f1fb25705d76ab7471018e25f8394c640dda \ + --hash=sha256:5aa16f2939a508667093b18e47919376f7db9a9acbe858343173c5a58e347869 \ + --hash=sha256:5ee758e37215da9519cea53105b2a078d8bc0a32603eef2a1f9ab551e3767dee \ + --hash=sha256:5f71c75fc138331cbbe668a08951d36b641d2c26fb3677d7e497afb8419538db \ + --hash=sha256:5fde955b634a593e70eae9b4560b74badc8b2b1e3dd5b12a047de53f52a3964a \ + --hash=sha256:62f3a29bf242ecca6360d497304900683fd8f42cbf1de8d0546c871819251dad \ + --hash=sha256:6409fcda1f40d66eab48afc218b4c41e45a95c173738d10c50bc69c7de4261b9 \ + --hash=sha256:650bf5d07f828a0cb173dacc4bb28e2ae54fd840656b3e552e5c3a4f96e29f08 \ + --hash=sha256:69668589359db4cbb9efa327dda5735d1e74145e6f0a9ffa50236d15cf904053 \ + --hash=sha256:6c4b796a59bed199884fe9d59a447fd685aa275a1406bc1f7caebd39a257f56e \ + --hash=sha256:6c87a1762aba525b00aac34e1ffb97d083f94ef505282a461147298f32b2ae27 \ + --hash=sha256:707a66cd1e3bf06e2c4f8f21d3b4e6290c9e092456f489c560345a8663cdd93e \ + --hash=sha256:709f557138fb84ed32703d42da68f786459dab77ff2c23524538f2e26878d154 \ + --hash=sha256:71206ab89abdd0bd5fee21e04a3995ec1f7d8ae1478ee5868f9e16e85a831653 \ + --hash=sha256:71dbc6d4004017ef88c70229809df4ad2317aad4876870c0b6bcd4d6695b7a8d \ + --hash=sha256:72575c5b502bf26ececccb905e4e028bb922f542946be701923e726acf305eb6 \ + --hash=sha256:736aa8e9609e4da40aeff0dbc02fea69021a034f4ed1e99bf93fc2ca83027b64 \ + --hash=sha256:73a88925055acc56811927614bb8be3e784fdd5149819fa26c2af6a43a2e43f5 \ + --hash=sha256:73e7d2e3d2d67e25d9d0f2bf46768650a57306a0587bbcdbfe2f4eac504248d2 \ + --hash=sha256:75585278b2e3cd1a866bc2a95be7e0ab53c51c35c9e0e75161ff4f30817b3da8 \ + --hash=sha256:83143b41bde2eb010c7056f142cb764cfbf77f16bf78bda2323a160767455cf5 \ + --hash=sha256:8714a3f2c093aeda3ffdb14c03571d349cb3ed1b8b461d9f321890659f4a5dbf \ + --hash=sha256:888e34d2e53d0f1dab85ff3e5ca81b8b7949b9e4702439f66f4ebf61189eb923 \ + --hash=sha256:88b5e6cc958907dd6a13d3f8179683c275f57142de95d0d652a54c8275e03a8b \ + --hash=sha256:8a681433e2f3d4b326d8b36b3e05b787b2c6dd2a5660a4a12527622278bf02ed \ + --hash=sha256:8d1d0db89c1c8f3282eac9a22fda2b4082e1ed62a2107f70e3f1de1872c7919f \ + --hash=sha256:91f19a8a6899c27867dbdace9500f337d3e891a610708e86078915f1d779bf53 \ + --hash=sha256:93926aacdb0f4289b558f213bc32c03578f3432a18b09e4b6d73a716839d7a74 \ + --hash=sha256:96578fc4a5707b5535d1c25a89e72583e02aafe64d14f3b4d78f9c512c6d613c \ + --hash=sha256:97cd2ab03d303fd57dea4f6d9c2ab23b7193846f1b3bbb4c80b315ebb5fc8527 \ + --hash=sha256:9ac30c38d86d888b42bb2ab2738ab9881199609e9fa9a153eb0c66fc9188c6cb \ + --hash=sha256:9b50d9daded5d36193d67e2fc30e59752262fcbbdc86e8222c7df6b93af0346a \ + --hash=sha256:9c7a0c11afc1fe2c8338e5ccfd7ffdab063b84ace8b9656b5b3bc1614ee8a234 \ + --hash=sha256:9d477ae1f5d42e1ee6abbe520a2e9c7f369781c3b8ca111d1f5283c1453bc825 \ + --hash=sha256:9d54b8e9a44890159ae36ba4ae44efd8bb79ff519055137a340d357538a68aa3 \ + --hash=sha256:9f5514890bbb54a7c35fb66120c7659040182d54e735fe717642b67340b8131a \ + --hash=sha256:9f707dbdaad78dafe6444ee0977cbbaefa16ad10ab290d75709170d124bac4c8 \ + --hash=sha256:a3ba0aa08f5eaa7165bf90fb06adf124511dbdf517500ab0793883f648feaaf8 \ + --hash=sha256:a4bca1151b8cd207eef6d5cb3c720c562b2aa7293cf113a68874e235cfa19c31 \ + --hash=sha256:a85c0cdf16559c9cfa3e2145c16bfe5e1c3115d0cb3b143d41fb68412888171f \ + --hash=sha256:aaa7aebf4fe0d33a3f9f8945061f5374557c9f7baa3c636bfe25ac352167be9c \ + --hash=sha256:b11f38b74bab75282db66226197024a731250dcbe25542fd4e85ac5313547332 \ + --hash=sha256:b4ac86f8d4ddd112bd63aa9f3c7b73c62d16b33fca414f809e8465bbed2580a3 \ + --hash=sha256:b7e41687c74e8fbe6a665458bbaea0c5a75342a95e2583738364a73bcbf1671b \ + --hash=sha256:b8b86815a30e026c6677b89a5a21ba5fd7b69accf8f0e9b83bac123e4e9f3b31 \ + --hash=sha256:be2ade1516fdc7b7fb3d73e6f8d8bf2ce5b4e2e0933a5465a86d40dfa1423488 \ + --hash=sha256:be593e78cf4a7cbdbe361823fb35e1e0963d1a490cf90c8b6c680a30114b1a10 \ + --hash=sha256:be64c5583884c407fc748dedbcb083475d5b138afb23c6bc0836cbad228402cc \ + --hash=sha256:c3ea5da20f4023cf40207ce15f5f4028377ffffdba3adfb60b4c8f34925fce79 \ + --hash=sha256:c9d83bf2c274aed601e8b5320789e54661c240a831533e73a290da27d1c046f1 \ + --hash=sha256:c9db12e764ec1a4648d67b1501f7001e30f92e05a1692a75920ab53670c4958b \ + --hash=sha256:d1e73172fed40c1d0e4f79fd15d357ead2161371b2ecdc82d626f143c29c8175 \ + --hash=sha256:d693d1f63ae6a794074ec1f475e3e3f607c52242f3799479fc483207b5c02ff0 \ + --hash=sha256:d8bde667d0ce46065fe57f8ff24b2e94f620a5747378c97314dcfc8fbab35b73 \ + --hash=sha256:dbb28455bb5d82ca3024f9eb7d65c8ff6707394b584519def497b5eb9e5b1222 \ + --hash=sha256:e02e0e9ef2e45475cf33816c8fb2e24595650bcf259e7b15b515a7b49cae1ccf \ + --hash=sha256:e16113d80bc270c465590ba297d4be8f26906ca8ae8419dc86520982c4099036 \ + --hash=sha256:e310f6313ccba476dc1f393fd40738ca3b7fa3bb41c31c38f9641b1927306ba2 \ + --hash=sha256:e657db5a8c9498dee394db1e12085eda4b9cf7b682466364aae52765b930a884 \ + --hash=sha256:e9ba526e07ccaf4f1c2cd3395dda221139f01468b6eee1190d4a616f187a0378 \ + --hash=sha256:ea87c25e933991366049a42c88e91ad20c2b72e11c7bd38ef68f80486ab63cb2 \ + --hash=sha256:ec4d1aa08569b7eb075942caeacabefee469a0e283c96c7aac0226d5e7598fe8 \ + --hash=sha256:ecf830cdcd1d4d28463c8e0c48f7f5fb06f3c952fff875da279385554d1d4d65 \ + --hash=sha256:ed35391ad697d6cda43c94087f59310f028c3e9fb229e435281a92509469c627 \ + --hash=sha256:fac2635f68b3b6752c2a576833d9d18f0af50bdd4bd7dd2d2ca753e3b8add84c \ + --hash=sha256:fad0666d34122b5ad6de2715c0597b23eab523cc57caf38294138249805da15f \ + --hash=sha256:fb8f6a18f1b5e37724111abbd3edf25f8f00e43dc261b11b10686e17688d2405 \ + --hash=sha256:fccc2023a89dfbce2e1b1409b967011e45d41808df81b7fa0259397db79ba647 \ + --hash=sha256:fe705e7656bc6982a463a4ed7f9b1db8c78c08323f1d45d0d1d77063efa0ce96 \ + --hash=sha256:fecf1b735591fb21ea124a374c207104a491ad0d772709845a10d5faa07fa833 \ + --hash=sha256:ffe87eb7f1956357c2144a56814b5ffc927cbb8932f143a0351c78b93129ebbc + # via locust +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # anyscale +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-apitools==0.5.32 \ + --hash=sha256:b78f74116558e0476e19501b5b4b2ac7c93261a69c5449c861ea95cbc853c688 \ + --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 + # via + # -c python/requirements_compiled.txt + # gsutil +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # anyscale + # gcsfs + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-auth-oauthlib + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage + # gsutil + # tensorboard +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # google-api-python-client +google-auth-oauthlib==1.0.0 \ + --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ + --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 + # via + # -c python/requirements_compiled.txt + # gcsfs + # tensorboard +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # anyscale + # gcsfs + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-pasta==0.2.0 \ + --hash=sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954 \ + --hash=sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed \ + --hash=sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e + # via + # -c python/requirements_compiled.txt + # tensorflow +google-reauth==0.1.1 \ + --hash=sha256:cb39074488d74c8853074dde47368bbf8f739d4a4338b89aab696c895b6d8368 \ + --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +greenlet==3.0.1 ; python_full_version < '3.11' and platform_python_implementation == 'CPython' \ + --hash=sha256:0a02d259510b3630f330c86557331a3b0e0c79dac3d166e449a39363beaae174 \ + --hash=sha256:0b6f9f8ca7093fd4433472fd99b5650f8a26dcd8ba410e14094c1e44cd3ceddd \ + --hash=sha256:100f78a29707ca1525ea47388cec8a049405147719f47ebf3895e7509c6446aa \ + --hash=sha256:1757936efea16e3f03db20efd0cd50a1c86b06734f9f7338a90c4ba85ec2ad5a \ + --hash=sha256:19075157a10055759066854a973b3d1325d964d498a805bb68a1f9af4aaef8ec \ + --hash=sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565 \ + --hash=sha256:20107edf7c2c3644c67c12205dc60b1bb11d26b2610b276f97d666110d1b511d \ + --hash=sha256:22f79120a24aeeae2b4471c711dcf4f8c736a2bb2fabad2a67ac9a55ea72523c \ + --hash=sha256:2847e5d7beedb8d614186962c3d774d40d3374d580d2cbdab7f184580a39d234 \ + --hash=sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d \ + --hash=sha256:329c5a2e5a0ee942f2992c5e3ff40be03e75f745f48847f118a3cfece7a28546 \ + --hash=sha256:337322096d92808f76ad26061a8f5fccb22b0809bea39212cd6c406f6a7060d2 \ + --hash=sha256:3fcc780ae8edbb1d050d920ab44790201f027d59fdbd21362340a85c79066a74 \ + --hash=sha256:41bdeeb552d814bcd7fb52172b304898a35818107cc8778b5101423c9017b3de \ + --hash=sha256:4eddd98afc726f8aee1948858aed9e6feeb1758889dfd869072d4465973f6bfd \ + --hash=sha256:52e93b28db27ae7d208748f45d2db8a7b6a380e0d703f099c949d0f0d80b70e9 \ + --hash=sha256:55d62807f1c5a1682075c62436702aaba941daa316e9161e4b6ccebbbf38bda3 \ + --hash=sha256:5805e71e5b570d490938d55552f5a9e10f477c19400c38bf1d5190d760691846 \ + --hash=sha256:599daf06ea59bfedbec564b1692b0166a0045f32b6f0933b0dd4df59a854caf2 \ + --hash=sha256:60d5772e8195f4e9ebf74046a9121bbb90090f6550f81d8956a05387ba139353 \ + --hash=sha256:696d8e7d82398e810f2b3622b24e87906763b6ebfd90e361e88eb85b0e554dc8 \ + --hash=sha256:6e6061bf1e9565c29002e3c601cf68569c450be7fc3f7336671af7ddb4657166 \ + --hash=sha256:80ac992f25d10aaebe1ee15df45ca0d7571d0f70b645c08ec68733fb7a020206 \ + --hash=sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b \ + --hash=sha256:85d2b77e7c9382f004b41d9c72c85537fac834fb141b0296942d52bf03fe4a3d \ + --hash=sha256:87c8ceb0cf8a5a51b8008b643844b7f4a8264a2c13fcbcd8a8316161725383fe \ + --hash=sha256:89ee2e967bd7ff85d84a2de09df10e021c9b38c7d91dead95b406ed6350c6997 \ + --hash=sha256:8bef097455dea90ffe855286926ae02d8faa335ed8e4067326257cb571fc1445 \ + --hash=sha256:8d11ebbd679e927593978aa44c10fc2092bc454b7d13fdc958d3e9d508aba7d0 \ + --hash=sha256:91e6c7db42638dc45cf2e13c73be16bf83179f7859b07cfc139518941320be96 \ + --hash=sha256:97e7ac860d64e2dcba5c5944cfc8fa9ea185cd84061c623536154d5a89237884 \ + --hash=sha256:990066bff27c4fcf3b69382b86f4c99b3652bab2a7e685d968cd4d0cfc6f67c6 \ + --hash=sha256:9fbc5b8f3dfe24784cee8ce0be3da2d8a79e46a276593db6868382d9c50d97b1 \ + --hash=sha256:ac4a39d1abae48184d420aa8e5e63efd1b75c8444dd95daa3e03f6c6310e9619 \ + --hash=sha256:b2c02d2ad98116e914d4f3155ffc905fd0c025d901ead3f6ed07385e19122c94 \ + --hash=sha256:b2d3337dcfaa99698aa2377c81c9ca72fcd89c07e7eb62ece3f23a3fe89b2ce4 \ + --hash=sha256:b489c36d1327868d207002391f662a1d163bdc8daf10ab2e5f6e41b9b96de3b1 \ + --hash=sha256:b641161c302efbb860ae6b081f406839a8b7d5573f20a455539823802c655f63 \ + --hash=sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd \ + --hash=sha256:b9934adbd0f6e476f0ecff3c94626529f344f57b38c9a541f87098710b18af0a \ + --hash=sha256:ce85c43ae54845272f6f9cd8320d034d7a946e9773c693b27d620edec825e376 \ + --hash=sha256:cf868e08690cb89360eebc73ba4be7fb461cfbc6168dd88e2fbbe6f31812cd57 \ + --hash=sha256:d2905ce1df400360463c772b55d8e2518d0e488a87cdea13dd2c71dcb2a1fa16 \ + --hash=sha256:d57e20ba591727da0c230ab2c3f200ac9d6d333860d85348816e1dca4cc4792e \ + --hash=sha256:d6a8c9d4f8692917a3dc7eb25a6fb337bff86909febe2f793ec1928cd97bedfc \ + --hash=sha256:d923ff276f1c1f9680d32832f8d6c040fe9306cbfb5d161b0911e9634be9ef0a \ + --hash=sha256:daa7197b43c707462f06d2c693ffdbb5991cbb8b80b5b984007de431493a319c \ + --hash=sha256:dbd4c177afb8a8d9ba348d925b0b67246147af806f0b104af4d24f144d461cd5 \ + --hash=sha256:dc4d815b794fd8868c4d67602692c21bf5293a75e4b607bb92a11e821e2b859a \ + --hash=sha256:e9d21aaa84557d64209af04ff48e0ad5e28c5cca67ce43444e939579d085da72 \ + --hash=sha256:ea6b8aa9e08eea388c5f7a276fabb1d4b6b9d6e4ceb12cc477c3d352001768a9 \ + --hash=sha256:eabe7090db68c981fca689299c2d116400b553f4b713266b130cfc9e2aa9c5a9 \ + --hash=sha256:f2f6d303f3dee132b322a14cd8765287b8f86cdc10d2cb6a6fae234ea488888e \ + --hash=sha256:f33f3258aae89da191c6ebaa3bc517c6c4cbc9b9f689e5d8452f7aedbb913fa8 \ + --hash=sha256:f7bfb769f7efa0eefcd039dd19d843a4fbfbac52f1878b1da2ed5793ec9b1a65 \ + --hash=sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064 \ + --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 + # via + # -c python/requirements_compiled.txt + # gevent +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # tensorboard + # tensorflow +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +gsutil==5.27 \ + --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # httpcore +h5py==3.10.0 \ + --hash=sha256:012ab448590e3c4f5a8dd0f3533255bc57f80629bf7c5054cf4c87b30085063c \ + --hash=sha256:212bb997a91e6a895ce5e2f365ba764debeaef5d2dca5c6fb7098d66607adf99 \ + --hash=sha256:2381e98af081b6df7f6db300cd88f88e740649d77736e4b53db522d8874bf2dc \ + --hash=sha256:2c8e4fda19eb769e9a678592e67eaec3a2f069f7570c82d2da909c077aa94339 \ + --hash=sha256:3074ec45d3dc6e178c6f96834cf8108bf4a60ccb5ab044e16909580352010a97 \ + --hash=sha256:3c97d03f87f215e7759a354460fb4b0d0f27001450b18b23e556e7856a0b21c3 \ + --hash=sha256:43a61b2c2ad65b1fabc28802d133eed34debcc2c8b420cb213d3d4ef4d3e2229 \ + --hash=sha256:492305a074327e8d2513011fa9fffeb54ecb28a04ca4c4227d7e1e9616d35641 \ + --hash=sha256:5dfc65ac21fa2f630323c92453cadbe8d4f504726ec42f6a56cf80c2f90d6c52 \ + --hash=sha256:667fe23ab33d5a8a6b77970b229e14ae3bb84e4ea3382cc08567a02e1499eedd \ + --hash=sha256:6c013d2e79c00f28ffd0cc24e68665ea03ae9069e167087b2adb5727d2736a52 \ + --hash=sha256:781a24263c1270a62cd67be59f293e62b76acfcc207afa6384961762bb88ea03 \ + --hash=sha256:86df4c2de68257b8539a18646ceccdcf2c1ce6b1768ada16c8dcfb489eafae20 \ + --hash=sha256:90286b79abd085e4e65e07c1bd7ee65a0f15818ea107f44b175d2dfe1a4674b7 \ + --hash=sha256:92273ce69ae4983dadb898fd4d3bea5eb90820df953b401282ee69ad648df684 \ + --hash=sha256:93dd840bd675787fc0b016f7a05fc6efe37312a08849d9dd4053fd0377b1357f \ + --hash=sha256:9450464b458cca2c86252b624279115dcaa7260a40d3cb1594bf2b410a2bd1a3 \ + --hash=sha256:ae2f0201c950059676455daf92700eeb57dcf5caaf71b9e1328e6e6593601770 \ + --hash=sha256:aece0e2e1ed2aab076c41802e50a0c3e5ef8816d60ece39107d68717d4559824 \ + --hash=sha256:b963fb772964fc1d1563c57e4e2e874022ce11f75ddc6df1a626f42bd49ab99f \ + --hash=sha256:ba9ab36be991119a3ff32d0c7cbe5faf9b8d2375b5278b2aea64effbeba66039 \ + --hash=sha256:d4682b94fd36ab217352be438abd44c8f357c5449b8995e63886b431d260f3d3 \ + --hash=sha256:d93adc48ceeb33347eb24a634fb787efc7ae4644e6ea4ba733d099605045c049 \ + --hash=sha256:f42e6c30698b520f0295d70157c4e202a9e402406f50dc08f5a7bc416b24e52d \ + --hash=sha256:fd6f6d1384a9f491732cee233b99cd4bfd6e838a8815cc86722f9d2ee64032af + # via + # -c python/requirements_compiled.txt + # tensorflow +httpcore==1.0.9 \ + --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ + --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 + # via + # -c python/requirements_compiled.txt + # httpx +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-api-python-client + # google-apitools + # google-auth-httplib2 + # gsutil + # oauth2client +httpx==0.27.2 \ + --hash=sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0 \ + --hash=sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # httpx + # jsonschema + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +iniconfig==2.0.0 \ + --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ + --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 + # via + # -c python/requirements_compiled.txt + # pytest +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # jsonschema +itsdangerous==2.1.2 \ + --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ + --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a + # via + # -c python/requirements_compiled.txt + # flask +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # flask + # jupyter-server + # jupyterlab + # jupyterlab-server + # memray + # nbclassic + # nbconvert + # notebook +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # boto3 + # botocore +joblib==1.2.0 \ + --hash=sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 \ + --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 + # via + # -c python/requirements_compiled.txt + # scikit-learn +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # ipywidgets +keras==2.15.0 \ + --hash=sha256:2dcc6d2e30cf9c951064b63c1f4c404b966c59caf09e01f3549138ec8ee0dd1f \ + --hash=sha256:81871d298c064dc4ac6b58440fdae67bfcf47c8d7ad28580fab401834c06a575 + # via + # -c python/requirements_compiled.txt + # tensorflow +libclang==18.1.1 \ + --hash=sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a \ + --hash=sha256:3f0e1f49f04d3cd198985fea0511576b0aee16f9ff0e0f0cad7f9c57ec3c20e8 \ + --hash=sha256:4dd2d3b82fab35e2bf9ca717d7b63ac990a3519c7e312f19fa8e86dcc712f7fb \ + --hash=sha256:54dda940a4a0491a9d1532bf071ea3ef26e6dbaf03b5000ed94dd7174e8f9592 \ + --hash=sha256:69f8eb8f65c279e765ffd28aaa7e9e364c776c17618af8bff22a8df58677ff4f \ + --hash=sha256:6f14c3f194704e5d09769108f03185fce7acaf1d1ae4bbb2f30a72c2400cb7c5 \ + --hash=sha256:83ce5045d101b669ac38e6da8e58765f12da2d3aafb3b9b98d88b286a60964d8 \ + --hash=sha256:a1214966d08d73d971287fc3ead8dfaf82eb07fb197680d8b3859dbbbbf78250 \ + --hash=sha256:c533091d8a3bbf7460a00cb6c1a71da93bffe148f172c7d03b1c31fbf8aa2a0b \ + --hash=sha256:cf4a99b05376513717ab5d82a0db832c56ccea4fd61a69dbb7bccf2dfb207dbe + # via + # -c python/requirements_compiled.txt + # tensorflow +lightgbm==4.6.0 \ + --hash=sha256:2dafd98d4e02b844ceb0b61450a660681076b1ea6c7adb8c566dfd66832aafad \ + --hash=sha256:37089ee95664b6550a7189d887dbf098e3eadab03537e411f52c63c121e3ba4b \ + --hash=sha256:4d68712bbd2b57a0b14390cbf9376c1d5ed773fa2e71e099cac588703b590336 \ + --hash=sha256:b7a393de8a334d5c8e490df91270f0763f83f959574d504c7ccb9eee4aef70ed \ + --hash=sha256:cb19b5afea55b5b61cbb2131095f50538bd608a00655f23ad5d25ae3e3bf1c8d \ + --hash=sha256:cb1c59720eb569389c0ba74d14f52351b573af489f230032a1c9f314f8bab7fe + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +locust==2.18.0 \ + --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ + --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae + # via -r release/ray_release/byod/requirements_byod_3.10.in +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # nbconvert +markdown==3.5.1 \ + --hash=sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc \ + --hash=sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd + # via + # -c python/requirements_compiled.txt + # tensorboard +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 + # nbconvert + # werkzeug +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipython +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # nbconvert +ml-dtypes==0.3.2 \ + --hash=sha256:2c34f2ba9660b21fe1034b608308a01be82bbef2a92fb8199f24dc6bad0d5226 \ + --hash=sha256:3a17ef2322e60858d93584e9c52a5be7dd6236b056b7fa1ec57f1bb6ba043e33 \ + --hash=sha256:533059bc5f1764fac071ef54598db358c167c51a718f68f5bb55e3dee79d2967 \ + --hash=sha256:6604877d567a29bfe7cc02969ae0f2425260e5335505cf5e7fefc3e5465f5655 \ + --hash=sha256:6b35c4e8ca957c877ac35c79ffa77724ecc3702a1e4b18b08306c03feae597bb \ + --hash=sha256:763697ab8a88d47443997a7cdf3aac7340049aed45f7521f6b0ec8a0594821fe \ + --hash=sha256:7a4c3fcbf86fa52d0204f07cfd23947ef05b4ad743a1a988e163caa34a201e5e \ + --hash=sha256:7afde548890a92b41c0fed3a6c525f1200a5727205f73dc21181a2726571bb53 \ + --hash=sha256:7ba8e1fafc7fff3e643f453bffa7d082df1678a73286ce8187d3e825e776eb94 \ + --hash=sha256:91f8783fd1f2c23fd3b9ee5ad66b785dafa58ba3cdb050c4458021fa4d1eb226 \ + --hash=sha256:93b78f53431c93953f7850bb1b925a17f0ab5d97527e38a7e865b5b4bc5cfc18 \ + --hash=sha256:961134ea44c7b8ca63eda902a44b58cd8bd670e21d62e255c81fba0a8e70d9b7 \ + --hash=sha256:b89b194e9501a92d289c1ffd411380baf5daafb9818109a4f49b0a1b6dce4462 \ + --hash=sha256:c7b3fb3d4f6b39bcd4f6c4b98f406291f0d681a895490ee29a0f95bab850d53c \ + --hash=sha256:d1a746fe5fb9cd974a91070174258f0be129c592b93f9ce7df6cc336416c3fbd \ + --hash=sha256:e8505946df1665db01332d885c2020b4cb9e84a8b1241eb4ba69d59591f65855 \ + --hash=sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4 + # via + # -c python/requirements_compiled.txt + # tensorflow +monotonic==1.6 \ + --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ + --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c + # via + # -c python/requirements_compiled.txt + # gsutil +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # azure-identity +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # locust +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # nbclassic +numcodecs==0.13.1 \ + --hash=sha256:233bc7f26abce24d57e44ea8ebeb5cd17084690b4e7409dd470fdb75528d615f \ + --hash=sha256:237b7171609e868a20fd313748494444458ccd696062f67e198f7f8f52000c15 \ + --hash=sha256:2a86f5367af9168e30f99727ff03b27d849c31ad4522060dde0bce2923b3a8bc \ + --hash=sha256:2eda97dd2f90add98df6d295f2c6ae846043396e3d51a739ca5db6c03b5eb666 \ + --hash=sha256:3501a848adaddce98a71a262fee15cd3618312692aa419da77acd18af4a6a3f6 \ + --hash=sha256:3f593c7506b0ab248961a3b13cb148cc6e8355662ff124ac591822310bc55ecf \ + --hash=sha256:5195bea384a6428f8afcece793860b1ab0ae28143c853f0b2b20d55a8947c917 \ + --hash=sha256:796b3e6740107e4fa624cc636248a1580138b3f1c579160f260f76ff13a4261b \ + --hash=sha256:7a60d75179fd6692e301ddfb3b266d51eb598606dcae7b9fc57f986e8d65cb43 \ + --hash=sha256:80d3071465f03522e776a31045ddf2cfee7f52df468b977ed3afdd7fe5869701 \ + --hash=sha256:90d3065ae74c9342048ae0046006f99dcb1388b7288da5a19b3bddf9c30c3176 \ + --hash=sha256:96add4f783c5ce57cc7e650b6cac79dd101daf887c479a00a29bc1487ced180b \ + --hash=sha256:96e42f73c31b8c24259c5fac6adba0c3ebf95536e37749dc6c62ade2989dca28 \ + --hash=sha256:a3cf37881df0898f3a9c0d4477df88133fe85185bffe57ba31bcc2fa207709bc \ + --hash=sha256:da2230484e6102e5fa3cc1a5dd37ca1f92dfbd183d91662074d6f7574e3e8f53 \ + --hash=sha256:e5db4824ebd5389ea30e54bc8aeccb82d514d28b6b68da6c536b8fa4596f4bca \ + --hash=sha256:eda7d7823c9282e65234731fd6bd3986b1f9e035755f7fed248d7d366bb291ab + # via zarr +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ale-py + # gymnasium + # h5py + # lightgbm + # ml-dtypes + # numcodecs + # opt-einsum + # pandas + # petastorm + # scikit-learn + # scipy + # tensorboard + # tensorboardx + # tensorflow + # xarray + # xgboost + # zarr +nvidia-nccl-cu12==2.20.5 ; platform_machine != 'aarch64' and sys_platform == 'linux' \ + --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \ + --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 + # via + # -c python/requirements_compiled.txt + # xgboost +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # gcs-oauth2-boto-plugin + # google-apitools +oauthlib==3.2.2 \ + --hash=sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca \ + --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 + # via + # -c python/requirements_compiled.txt + # requests-oauthlib +openskill==6.1.3 \ + --hash=sha256:0a762db4e668dd7c83cfcd0b9a08b1e27c117de0564e8cc087814785c886658d \ + --hash=sha256:0bd2ae46489f0ce2b3de2e4e407f66cbd33bdcbc1db2bc3b9a1cee5e300af0ef \ + --hash=sha256:0eb3146417945f37cf17611a5188110d5be13ee29032854058363972042f502a \ + --hash=sha256:168a59eebf44c9c3491dbd03f2e371b6d97e93e3b99410b364c00fa41abb02b4 \ + --hash=sha256:16a87f7704190ceb8094fa4e92b2345976db94f5f3890d2ae5fc09c266b45097 \ + --hash=sha256:1af59f934683439d7192618241f5a9db1369abf29f70b5117120f8ac37bf9f71 \ + --hash=sha256:1cbadb62d02cb6e7d0d0d62fb2c76215207ee02bfa8fc8efb56e0bff2857a682 \ + --hash=sha256:2aff7fc81e387c3bbe3cc9ce19d80331c25da076e3548b448fcd0de2c17c27a0 \ + --hash=sha256:327903a8aeb18b2a55be1ef00b9da449ee7fbcd22d19ecb76df771e8685605e2 \ + --hash=sha256:32c5ae1fc4dde898bd3645a0b05279e6f4b7382e8f6a57d8cfd349eb60147e64 \ + --hash=sha256:32e1d88b730bf78d1aef19311f9eac88c6e974f0764f0bc03f04430f9b1dfe3a \ + --hash=sha256:37e66034e4b8bee28ca8bb56fcf9dd92ff12e4b9d7d99c894a2e0b0463aa5dd6 \ + --hash=sha256:39105b8a17b8ab7b348094ebb9ee4e4c6adae00f25eecb4de8d7a73449decf21 \ + --hash=sha256:3bd22b174834899e3a3d35c17cbdaabc8ef2eb0cf470379312b219226ca82c3a \ + --hash=sha256:3dd41259f6a3b413de9e6d080b6a424f881688716104148ea8b860766bb39041 \ + --hash=sha256:4233d6ef198eefcaa599b98c58aed6a72088f1e2bffdd4e205c6b53e9426e732 \ + --hash=sha256:43c1cea65ec562f8c1c7d81cf6394b17fabddf023b4c8f06949662f30cd5a085 \ + --hash=sha256:5b72a8b3083fc4679c1a5a3d7853f7804e9bbe09f561985db81fd529a52c0762 \ + --hash=sha256:65a274e7a960784da9fe1d289c7350f5094d80fdaf436e854630f0cddd7023b2 \ + --hash=sha256:66a283e7e6b643538783a1b97d4d4ec7ec6e694da2260ea0eb59db555a649530 \ + --hash=sha256:6a534e71a017901e25519d1c3d10e2dbc978f9481e0d7170356252df88acc443 \ + --hash=sha256:7096c79eb8f6cc7cd8404220b52ebb15a8a8f31e4469cbefefc77b2715a7bf82 \ + --hash=sha256:76511d874a003aaa1e00901978858393e6bcbf8b81f188f1b98d98a802e2a49c \ + --hash=sha256:7d8e16fabfd4c318b6bc593fc9585aef06d0b864a731140392c41a22b3afa04b \ + --hash=sha256:7f7cc617246961213057e40896e192760807520e823979e61a2077177048c28f \ + --hash=sha256:827e2325c7cb4ef7ce038d306336372ccdb9b20b9bb83f20e55e3b6a02010384 \ + --hash=sha256:8a97853c0c6fc1f706368528113396c083e7962a1534430d72e7e78425b38e00 \ + --hash=sha256:933ab932479dbc0e681870d6803b52d695c986eb3054717b715c0a9ad054be06 \ + --hash=sha256:9c022f26c734c1a3244bdc518a9b7b0aa9ca6ac49c38203a9dece11917dbb2cc \ + --hash=sha256:a2e0191a0615f892923044d8a2318ebe474e7ada9a6f1dec64c8c3273565bcda \ + --hash=sha256:adbce997d58bdaef7eb63fd1f87928cfaca5a38fff8cd1ebadd556558ace1e7f \ + --hash=sha256:ae7f0656c875d243480f8a999afaf390356cd094cd34cdaf9fc9fef1e4980a9d \ + --hash=sha256:b40a3a811de520433c362e4e5b6343060af4984a1ee53406ce97d3248a09efc7 \ + --hash=sha256:bb3a012a5ccca365c6ec718c4b96606ba0c1ff6effec0421b8e1d7a6bd2cb70f \ + --hash=sha256:bb41a2c3d1b60483fcf583c5893367a05fdbf3391bfa4c2a5d4421345fdbe01c \ + --hash=sha256:c7257461ef66ab55a15be6f01e6325eeb8c9b9e61c0cf750d3caec415b31f4fc \ + --hash=sha256:c85aa5d2ce3ca934c568cf6ad391f0559fd0d05619d5b20b61eb6b2cc0b50943 \ + --hash=sha256:cad397d633963818b0b2e0e392321307952a3b099ee8b67526ae9edaf467825a \ + --hash=sha256:d046daf11c5b35d1f906c4baa242b9dd519197b2845820e2dc752bf8d80d7e36 \ + --hash=sha256:f04078012c003253a14038e7116ea9773de1c92bed98b5b9610b1d3909a8402e \ + --hash=sha256:f07e0a8ec21158707017fb187a191b28b8f1435ad0129fdf3335db2bbc6fb661 \ + --hash=sha256:f692769fc15a60471b818d806daba2c81401fd7b7d791398a9918a856c38a6f2 + # via -r release/ray_release/byod/requirements_byod_3.10.in +opt-einsum==3.3.0 \ + --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ + --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 + # via + # -c python/requirements_compiled.txt + # tensorflow +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbconvert + # petastorm + # pytest + # tensorboardx + # tensorflow + # xarray +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # petastorm + # xarray +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # anyscale +petastorm==0.12.1 \ + --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 + # via -r release/ray_release/byod/requirements_byod_3.10.in +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # ipython +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # jupyter-core +pluggy==1.3.0 \ + --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ + --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 + # via + # -c python/requirements_compiled.txt + # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # msal-extensions +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus + # tensorboard + # tensorboardx + # tensorflow +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ipykernel + # locust + # petastorm +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # stack-data +py4j==0.10.9.7 \ + --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ + --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b + # via + # -c python/requirements_compiled.txt + # pyspark +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # petastorm +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # fastapi +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # msal +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # gcs-oauth2-boto-plugin + # google-oauth + # gsutil +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # httplib2 +pyspark==3.4.1 \ + --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 + # via + # -c python/requirements_compiled.txt + # petastorm +pytest==7.4.4 \ + --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ + --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client + # pandas +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # jupyter-events +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas +pyu2f==0.1.5 \ + --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b + # via + # -c python/requirements_compiled.txt + # google-reauth +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale + # jupyter-events +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # locust + # nbclassic + # notebook + # petastorm +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale + # azure-core + # azure-datalake-store + # gcsfs + # google-api-core + # google-auth + # google-cloud-storage + # google-oauth + # jupyterlab-server + # locust + # msal + # requests-oauthlib + # smart-open + # tensorboard +requests-oauthlib==2.0.0 \ + --hash=sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36 \ + --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 + # via + # -c python/requirements_compiled.txt + # google-auth-oauthlib +retry-decorator==1.1.1 \ + --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # anyscale + # memray + # typer +roundrobin==0.0.4 \ + --hash=sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd + # via locust +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-auth + # oauth2client +s3fs==2023.12.1 \ + --hash=sha256:63e429bb6b5e814568cacd3f2a8551fc35493e8c418ddfcb44e6f86aa8696ccd \ + --hash=sha256:ed0b7df8cc20a2b5cefe607b1cf4e860d37c5ca4ac2d68f55464805d75d18710 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # boto3 +scikit-learn==1.3.2 \ + --hash=sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107 \ + --hash=sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161 \ + --hash=sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c \ + --hash=sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d \ + --hash=sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157 \ + --hash=sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a \ + --hash=sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb \ + --hash=sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c \ + --hash=sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a \ + --hash=sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c \ + --hash=sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5 \ + --hash=sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0 \ + --hash=sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b \ + --hash=sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03 \ + --hash=sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66 \ + --hash=sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9 \ + --hash=sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf \ + --hash=sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028 \ + --hash=sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93 \ + --hash=sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05 \ + --hash=sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073 \ + --hash=sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525 \ + --hash=sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e \ + --hash=sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1 \ + --hash=sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0 \ + --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # lightgbm + # scikit-learn + # xgboost +semidbm==0.5.1 \ + --hash=sha256:0dd74b5e9276eb5af186ace8b74165acec0c887e746bdae60340be91b99cffaf \ + --hash=sha256:add3e644dd6afcce83d1752b34ff80fa4e2b37b4ce6bce3289ad19d6f0bcd6ae + # via -r release/ray_release/byod/requirements_byod_3.10.in +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +shellingham==1.5.4 \ + --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ + --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de + # via + # -c python/requirements_compiled.txt + # typer +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # astunparse + # azure-core + # bleach + # gcs-oauth2-boto-plugin + # google-apitools + # google-oauth + # google-pasta + # gsutil + # isodate + # oauth2client + # petastorm + # python-dateutil + # pyu2f + # rfc3339-validator + # tensorboard + # tensorflow + # trueskill +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio + # httpx +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # anyscale +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # ipython +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # anyscale +tblib==3.0.0 \ + --hash=sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129 \ + --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +tensorboard==2.15.2 \ + --hash=sha256:a6f6443728064d962caea6d34653e220e34ef8df764cb06a8212c17e1a8f0622 + # via + # -c python/requirements_compiled.txt + # tensorflow +tensorboard-data-server==0.7.2 \ + --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ + --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \ + --hash=sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530 + # via + # -c python/requirements_compiled.txt + # tensorboard +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +tensorflow==2.15.1 \ + --hash=sha256:10132acc072d59696c71ce7221d2d8e0e3ff1e6bc8688dbac6d7aed8e675b710 \ + --hash=sha256:30c5ef9c758ec9ff7ce2aff76b71c980bc5119b879071c2cc623b1591a497a1a \ + --hash=sha256:432788ac5d1234b9e9b7c7f73603a5655271a28c293329c52c7c0b9434a1184e \ + --hash=sha256:6761efe511e6ee0f893f60738fefbcc51d6dc386eeaaafea59d21899ef369ffd \ + --hash=sha256:89b5aa1022dec47e567512eaf4e1271b8e6c1ff1984e30d0d9127bd1093ed4c5 \ + --hash=sha256:8e5431d45ceb416c2b1b6de87378054fbac7d2ed35d45b102d89a786613fffdc \ + --hash=sha256:91b51a507007d63a70b65be307d701088d15042a6399c0e2312b53072226e909 \ + --hash=sha256:a49f8755c74a89553294a99ab25aa87ab1cddbfa40fe58387e09f64f0578cedc \ + --hash=sha256:aa926114d1e13ffe5b2ea59c3f195216f26646d7fe36e9e5207b291e4b7902ff \ + --hash=sha256:aaf3cfa290597ebbdf19d1a78729e3f555e459506cd58f8d7399359ac5e02a05 \ + --hash=sha256:b75815b6a601edad52b4181e9805c8fcd04813a6ab1d5cd8127188dfd2788e20 \ + --hash=sha256:bb0edd69103c154245c5f209f0507355cc68ba7e4de350084bc31edc562478e4 \ + --hash=sha256:e73d43dbc68d8c711e70edecc4ac70472799a25ec4ec18a84d479ee18033d3c5 \ + --hash=sha256:ea290e435464cf0794f657b48786e5fa413362abe55ed771c172c25980d070ce \ + --hash=sha256:f8e85821317c9c0fbf1256e9f721cfb1400ba1e09becb844b3ddd91f744805fc + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +tensorflow-estimator==2.15.0 \ + --hash=sha256:aedf21eec7fb2dc91150fc91a1ce12bc44dbb72278a08b58e79ff87c9e28f153 + # via + # -c python/requirements_compiled.txt + # tensorflow +tensorflow-io-gcs-filesystem==0.31.0 \ + --hash=sha256:20e3ee5df01f2bd81d37fc715816c329b7533ccca967c47946eb458a5b7a7280 \ + --hash=sha256:359134ecbd3bf938bb0cf65be4526106c30da461b2e2ce05446a229ed35f6832 \ + --hash=sha256:37c40e3c4ee1f8dda3b545deea6b8839192c82037d8021db9f589908034ad975 \ + --hash=sha256:4bb37d23f21c434687b11059cb7ffd094d52a7813368915ba1b7057e3c16e414 \ + --hash=sha256:68b89ef9f63f297de1cd9d545bc45dddc7d8fe12bcda4266279b244e8cf3b7c0 \ + --hash=sha256:8909c4344b0e96aa356230ab460ffafe5900c33c1aaced65fafae71d177a1966 \ + --hash=sha256:961353b38c76471fa296bb7d883322c66b91415e7d47087236a6706db3ab2758 \ + --hash=sha256:97ebb9a8001a38f615aa1f90d2e998b7bd6eddae7aafc92897833610b039401b \ + --hash=sha256:a71421f8d75a093b6aac65b4c8c8d2f768c3ca6215307cf8c16192e62d992bcf \ + --hash=sha256:a7e8d4bd0a25de7637e562997c011294d7ea595a76f315427a5dd522d56e9d49 \ + --hash=sha256:b4ebb30ad7ce5f3769e3d959ea99bd95d80a44099bcf94da6042f9755ac6e850 \ + --hash=sha256:b658b33567552f155af2ed848130f787bfda29381fa78cd905d5ee8254364f3c \ + --hash=sha256:bd628609b77aee0e385eadf1628222486f19b8f1d81b5f0a344f2470204df116 \ + --hash=sha256:cb7459c15608fe42973a78e4d3ad7ac79cfc7adae1ccb1b1846db3165fbc081a \ + --hash=sha256:e3933059b1c53e062075de2e355ec136b655da5883c3c26736c45dfeb1901945 \ + --hash=sha256:e417faf8755aafe52d8f8c6b5ae5bae6e4fae8326ee3acd5e9181b83bbfbae87 \ + --hash=sha256:e6d8cc7b14ade870168b9704ee44f9c55b468b9a00ed40e12d20fffd321193b5 \ + --hash=sha256:f0adfbcd264262797d429311843733da2d5c1ffb119fbfa6339269b6c0414113 \ + --hash=sha256:fbcfb4aa2eaa9a3038d2487e570ff93feb1dbe51c3a4663d7d9ab9f9a9f9a9d8 + # via + # -c python/requirements_compiled.txt + # tensorflow +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # anyscale + # tensorflow +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +threadpoolctl==3.1.0 \ + --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \ + --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 + # via + # -c python/requirements_compiled.txt + # scikit-learn +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # nbconvert +tomli==2.0.1 ; python_full_version < '3.11' \ + --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ + --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f + # via + # -c python/requirements_compiled.txt + # jupyterlab + # pytest +tornado==6.1 \ + --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ + --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ + --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ + --hash=sha256:20241b3cb4f425e971cb0a8e4ffc9b0a861530ae3c52f2b0434e6c1b57e9fd95 \ + --hash=sha256:25ad220258349a12ae87ede08a7b04aca51237721f63b1808d39bdb4b2164558 \ + --hash=sha256:33892118b165401f291070100d6d09359ca74addda679b60390b09f8ef325ffe \ + --hash=sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791 \ + --hash=sha256:3447475585bae2e77ecb832fc0300c3695516a47d46cefa0528181a34c5b9d3d \ + --hash=sha256:34ca2dac9e4d7afb0bed4677512e36a52f09caa6fded70b4e3e1c89dbd92c326 \ + --hash=sha256:3e63498f680547ed24d2c71e6497f24bca791aca2fe116dbc2bd0ac7f191691b \ + --hash=sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4 \ + --hash=sha256:6196a5c39286cc37c024cd78834fb9345e464525d8991c21e908cc046d1cc02c \ + --hash=sha256:61b32d06ae8a036a6607805e6720ef00a3c98207038444ba7fd3d169cd998910 \ + --hash=sha256:6286efab1ed6e74b7028327365cf7346b1d777d63ab30e21a0f4d5b275fc17d5 \ + --hash=sha256:65d98939f1a2e74b58839f8c4dab3b6b3c1ce84972ae712be02845e65391ac7c \ + --hash=sha256:66324e4e1beede9ac79e60f88de548da58b1f8ab4b2f1354d8375774f997e6c0 \ + --hash=sha256:6c77c9937962577a6a76917845d06af6ab9197702a42e1346d8ae2e76b5e3675 \ + --hash=sha256:70dec29e8ac485dbf57481baee40781c63e381bebea080991893cd297742b8fd \ + --hash=sha256:7250a3fa399f08ec9cb3f7b1b987955d17e044f1ade821b32e5f435130250d7f \ + --hash=sha256:748290bf9112b581c525e6e6d3820621ff020ed95af6f17fedef416b27ed564c \ + --hash=sha256:7da13da6f985aab7f6f28debab00c67ff9cbacd588e8477034c0652ac141feea \ + --hash=sha256:8f959b26f2634a091bb42241c3ed8d3cedb506e7c27b8dd5c7b9f745318ddbb6 \ + --hash=sha256:9de9e5188a782be6b1ce866e8a51bc76a0fbaa0e16613823fc38e4fc2556ad05 \ + --hash=sha256:a48900ecea1cbb71b8c71c620dee15b62f85f7c14189bdeee54966fbd9a0c5bd \ + --hash=sha256:b87936fd2c317b6ee08a5741ea06b9d11a6074ef4cc42e031bc6403f82a32575 \ + --hash=sha256:c77da1263aa361938476f04c4b6c8916001b90b2c2fdd92d8d535e1af48fba5a \ + --hash=sha256:cb5ec8eead331e3bb4ce8066cf06d2dfef1bfb1b2a73082dfe8a161301b76e37 \ + --hash=sha256:cc0ee35043162abbf717b7df924597ade8e5395e7b66d18270116f8745ceb795 \ + --hash=sha256:d14d30e7f46a0476efb0deb5b61343b1526f73ebb5ed84f23dc794bdb88f9d9f \ + --hash=sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32 \ + --hash=sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c \ + --hash=sha256:d3f7594930c423fd9f5d1a76bee85a2c36fd8b4b16921cae7e965f22575e9c01 \ + --hash=sha256:dcef026f608f678c118779cd6591c8af6e9b4155c44e0d1bc0c87c036fb8c8c4 \ + --hash=sha256:e0791ac58d91ac58f694d8d2957884df8e4e2f6687cdf367ef7eb7497f79eaa2 \ + --hash=sha256:e385b637ac3acaae8022e7e47dfa7b83d3620e432e3ecb9a3f7f58f150e50921 \ + --hash=sha256:e519d64089b0876c7b467274468709dadf11e41d65f63bba207e04217f47c085 \ + --hash=sha256:e7229e60ac41a1202444497ddde70a48d33909e484f96eb0da9baf8dc68541df \ + --hash=sha256:ed3ad863b1b40cd1d4bd21e7498329ccaece75db5a5bf58cd3c9f130843e7102 \ + --hash=sha256:f0ba29bafd8e7e22920567ce0d232c26d4d47c8b5cf4ed7b562b5db39fa199c5 \ + --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ + --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # anyscale +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +trueskill==0.4.5 \ + --hash=sha256:9d62b48d2428369d712bd9becff9f9a2caa325e1a2ab5f9392d34bff757867bb + # via -r release/ray_release/byod/requirements_byod_3.10.in +typer==0.12.3 \ + --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ + --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in + # ale-py + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # exceptiongroup + # fastapi + # gymnasium + # pydantic + # pydantic-core + # pyopenssl + # referencing + # tensorflow + # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # anyscale + # botocore + # geventhttpclient + # requests +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # anyscale +werkzeug==2.3.8 \ + --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ + --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 + # via + # -c python/requirements_compiled.txt + # flask + # locust + # tensorboard +wheel==0.45.1 \ + --hash=sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729 \ + --hash=sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248 + # via + # -c python/requirements_compiled.txt + # astunparse +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # aiobotocore + # anyscale + # tensorflow +xarray==2024.3.0 \ + --hash=sha256:5c1db19efdde61db7faedad8fc944f4e29698fb6fbd578d352668b63598bd1d8 \ + --hash=sha256:ca2bc4da2bf2e7879e15862a7a7c3fc76ad19f6a08931d030220cef39a29118d + # via -r release/ray_release/byod/requirements_byod_3.10.in +xgboost==2.1.0 \ + --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ + --hash=sha256:43b16205689249d7509daf7a6ab00ad0e6c570b3a9c263cb32b26e39d9477bb3 \ + --hash=sha256:7144980923e76ce741c7b03a14d3bd7514db6de5c7cabe96ba95b229d274f5ca \ + --hash=sha256:73673c9bb85927db7fe2e3aed6df6d35dba708cfd6767cc63d4ea11dda2dede5 \ + --hash=sha256:74904b91c42524a6c32147fe5718569e78fb65911ff4499b053f81d0964514d4 \ + --hash=sha256:840a0c6e2119d8c8f260a5dace996ea064a267f62b301a25d7d452488a7ac860 \ + --hash=sha256:b2a456eb0f3d3e8fd8ab37e44ac288292bf8ea8744c294be9fd88713d27af810 \ + --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.10.in +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +zarr==2.18.3 \ + --hash=sha256:2580d8cb6dd84621771a10d31c4d777dca8a27706a1a89b29f42d2d37e2df5ce \ + --hash=sha256:b1f7dfd2496f436745cdd4c7bcf8d3b4bc1dceef5fdd0d589c87130d842496dd + # via -r release/ray_release/byod/requirements_byod_3.10.in +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata +zope-event==6.0 \ + --hash=sha256:0ebac894fa7c5f8b7a89141c272133d8c1de6ddc75ea4b1f327f00d1f890df92 \ + --hash=sha256:6f0922593407cc673e7d8766b492c519f91bdc99f3080fe43dcec0a800d682a3 + # via gevent +zope-interface==8.0 \ + --hash=sha256:07405019f635a93b318807cb2ec7b05a5ef30f67cf913d11eb2f156ddbcead0d \ + --hash=sha256:0caca2915522451e92c96c2aec404d2687e9c5cb856766940319b3973f62abb8 \ + --hash=sha256:160ba50022b342451baf516de3e3a2cd2d8c8dbac216803889a5eefa67083688 \ + --hash=sha256:1858d1e5bb2c5ae766890708184a603eb484bb7454e306e967932a9f3c558b07 \ + --hash=sha256:1bee9c1b42513148f98d3918affd829804a5c992c000c290dc805f25a75a6a3f \ + --hash=sha256:450ab3357799eed6093f3a9f1fa22761b3a9de9ebaf57f416da2c9fb7122cdcb \ + --hash=sha256:453d2c6668778b8d2215430ed61e04417386e51afb23637ef2e14972b047b700 \ + --hash=sha256:4d639d5015c1753031e180b8ef81e72bb7d47b0aca0218694ad1f19b0a6c6b63 \ + --hash=sha256:5cffe23eb610e32a83283dde5413ab7a17938fa3fbd023ca3e529d724219deb0 \ + --hash=sha256:67047a4470cb2fddb5ba5105b0160a1d1c30ce4b300cf264d0563136adac4eac \ + --hash=sha256:778458ea69413cf8131a3fcc6f0ea2792d07df605422fb03ad87daca3f8f78ce \ + --hash=sha256:7e88c66ebedd1e839082f308b8372a50ef19423e01ee2e09600b80e765a10234 \ + --hash=sha256:7fb931bf55c66a092c5fbfb82a0ff3cc3221149b185bde36f0afc48acb8dcd92 \ + --hash=sha256:804ebacb2776eb89a57d9b5e9abec86930e0ee784a0005030801ae2f6c04d5d8 \ + --hash=sha256:879bb5bf937cde4acd738264e87f03c7bf7d45478f7c8b9dc417182b13d81f6c \ + --hash=sha256:a26ae2fe77c58b4df8c39c2b7c3aadedfd44225a1b54a1d74837cd27057b2fc8 \ + --hash=sha256:a2c107cc6dff954be25399cd81ddc390667f79af306802fc0c1de98614348b70 \ + --hash=sha256:a9a8a71c38628af82a9ea1f7be58e5d19360a38067080c8896f6cbabe167e4f8 \ + --hash=sha256:b14d5aac547e635af749ce20bf49a3f5f93b8a854d2a6b1e95d4d5e5dc618f7d \ + --hash=sha256:b207966f39c2e6fcfe9b68333acb7b19afd3fdda29eccc4643f8d52c180a3185 \ + --hash=sha256:b80447a3a5c7347f4ebf3e50de319c8d2a5dabd7de32f20899ac50fc275b145d \ + --hash=sha256:c0cc51ebd984945362fd3abdc1e140dbd837c3e3b680942b3fa24fe3aac26ef8 \ + --hash=sha256:c23af5b4c4e332253d721ec1222c809ad27ceae382ad5b8ff22c4c4fb6eb8ed5 \ + --hash=sha256:c4d9d3982aaa88b177812cd911ceaf5ffee4829e86ab3273c89428f2c0c32cc4 \ + --hash=sha256:daf4d6ba488a0fb560980b575244aa962a75e77b7c86984138b8d52bd4b5465f \ + --hash=sha256:dee2d1db1067e8a4b682dde7eb4bff21775412358e142f4f98c9066173f9dacd \ + --hash=sha256:e38bb30a58887d63b80b01115ab5e8be6158b44d00b67197186385ec7efe44c7 \ + --hash=sha256:e3cf57f90a760c56c55668f650ba20c3444cde8332820db621c9a1aafc217471 \ + --hash=sha256:ea1f2e47bc0124a03ee1e5fb31aee5dfde876244bcc552b9e3eb20b041b350d7 \ + --hash=sha256:ec1da7b9156ae000cea2d19bad83ddb5c50252f9d7b186da276d17768c67a3cb \ + --hash=sha256:ee9ecad04269c2da4b1be403a47993981531ffd557064b870eab4094730e5062 + # via gevent + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/ray_base_extra_testdeps_py3.11.lock b/release/ray_release/byod/ray_base_extra_testdeps_py3.11.lock new file mode 100644 index 000000000000..de0ad616b75c --- /dev/null +++ b/release/ray_release/byod/ray_base_extra_testdeps_py3.11.lock @@ -0,0 +1,2760 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.11 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_byod_3.11.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_base_extra_testdeps_py3.11.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # adlfs + # anyscale +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # jupyter-server +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # isoduration +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # stack-data +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # nbconvert +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # nbconvert +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # anyscale + # boto3 + # s3transfer +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # anyscale + # requests +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # anyscale +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # log-symbols +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # ipython +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # nbconvert +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # jupyter-client + # nbconvert +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # stack-data +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # nbformat +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # adlfs +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # anyscale +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # anyscale + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # google-api-python-client +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # anyscale + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-auth-httplib2 + # oauth2client +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # jsonschema + # requests + # yarl +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # jsonschema +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbclassic + # nbconvert + # notebook +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # boto3 + # botocore +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # ipywidgets +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # nbconvert +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 + # nbconvert +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipython +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # nbconvert +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # azure-identity +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # nbclassic +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # anyscale +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbconvert +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # anyscale +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # ipython +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # jupyter-core +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # msal-extensions +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ipykernel +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # stack-data +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # msal +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # google-oauth +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # httplib2 +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # jupyter-events +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-events +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # nbclassic + # notebook +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # azure-core + # azure-datalake-store + # google-api-core + # google-cloud-storage + # google-oauth + # jupyterlab-server + # msal + # smart-open +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # anyscale +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # boto3 +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # azure-core + # bleach + # google-oauth + # isodate + # oauth2client + # python-dateutil + # rfc3339-validator +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # anyscale +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # ipython +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # anyscale +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # anyscale +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # nbconvert +tornado==6.1 \ + --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ + --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ + --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ + --hash=sha256:20241b3cb4f425e971cb0a8e4ffc9b0a861530ae3c52f2b0434e6c1b57e9fd95 \ + --hash=sha256:25ad220258349a12ae87ede08a7b04aca51237721f63b1808d39bdb4b2164558 \ + --hash=sha256:33892118b165401f291070100d6d09359ca74addda679b60390b09f8ef325ffe \ + --hash=sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791 \ + --hash=sha256:3447475585bae2e77ecb832fc0300c3695516a47d46cefa0528181a34c5b9d3d \ + --hash=sha256:34ca2dac9e4d7afb0bed4677512e36a52f09caa6fded70b4e3e1c89dbd92c326 \ + --hash=sha256:3e63498f680547ed24d2c71e6497f24bca791aca2fe116dbc2bd0ac7f191691b \ + --hash=sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4 \ + --hash=sha256:6196a5c39286cc37c024cd78834fb9345e464525d8991c21e908cc046d1cc02c \ + --hash=sha256:61b32d06ae8a036a6607805e6720ef00a3c98207038444ba7fd3d169cd998910 \ + --hash=sha256:6286efab1ed6e74b7028327365cf7346b1d777d63ab30e21a0f4d5b275fc17d5 \ + --hash=sha256:65d98939f1a2e74b58839f8c4dab3b6b3c1ce84972ae712be02845e65391ac7c \ + --hash=sha256:66324e4e1beede9ac79e60f88de548da58b1f8ab4b2f1354d8375774f997e6c0 \ + --hash=sha256:6c77c9937962577a6a76917845d06af6ab9197702a42e1346d8ae2e76b5e3675 \ + --hash=sha256:70dec29e8ac485dbf57481baee40781c63e381bebea080991893cd297742b8fd \ + --hash=sha256:7250a3fa399f08ec9cb3f7b1b987955d17e044f1ade821b32e5f435130250d7f \ + --hash=sha256:748290bf9112b581c525e6e6d3820621ff020ed95af6f17fedef416b27ed564c \ + --hash=sha256:7da13da6f985aab7f6f28debab00c67ff9cbacd588e8477034c0652ac141feea \ + --hash=sha256:8f959b26f2634a091bb42241c3ed8d3cedb506e7c27b8dd5c7b9f745318ddbb6 \ + --hash=sha256:9de9e5188a782be6b1ce866e8a51bc76a0fbaa0e16613823fc38e4fc2556ad05 \ + --hash=sha256:a48900ecea1cbb71b8c71c620dee15b62f85f7c14189bdeee54966fbd9a0c5bd \ + --hash=sha256:b87936fd2c317b6ee08a5741ea06b9d11a6074ef4cc42e031bc6403f82a32575 \ + --hash=sha256:c77da1263aa361938476f04c4b6c8916001b90b2c2fdd92d8d535e1af48fba5a \ + --hash=sha256:cb5ec8eead331e3bb4ce8066cf06d2dfef1bfb1b2a73082dfe8a161301b76e37 \ + --hash=sha256:cc0ee35043162abbf717b7df924597ade8e5395e7b66d18270116f8745ceb795 \ + --hash=sha256:d14d30e7f46a0476efb0deb5b61343b1526f73ebb5ed84f23dc794bdb88f9d9f \ + --hash=sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32 \ + --hash=sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c \ + --hash=sha256:d3f7594930c423fd9f5d1a76bee85a2c36fd8b4b16921cae7e965f22575e9c01 \ + --hash=sha256:dcef026f608f678c118779cd6591c8af6e9b4155c44e0d1bc0c87c036fb8c8c4 \ + --hash=sha256:e0791ac58d91ac58f694d8d2957884df8e4e2f6687cdf367ef7eb7497f79eaa2 \ + --hash=sha256:e385b637ac3acaae8022e7e47dfa7b83d3620e432e3ecb9a3f7f58f150e50921 \ + --hash=sha256:e519d64089b0876c7b467274468709dadf11e41d65f63bba207e04217f47c085 \ + --hash=sha256:e7229e60ac41a1202444497ddde70a48d33909e484f96eb0da9baf8dc68541df \ + --hash=sha256:ed3ad863b1b40cd1d4bd21e7498329ccaece75db5a5bf58cd3c9f130843e7102 \ + --hash=sha256:f0ba29bafd8e7e22920567ce0d232c26d4d47c8b5cf4ed7b562b5db39fa199c5 \ + --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ + --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # anyscale +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # pyopenssl + # referencing +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # anyscale + # botocore + # requests +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # anyscale +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # anyscale +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/ray_base_extra_testdeps_py3.12.lock b/release/ray_release/byod/ray_base_extra_testdeps_py3.12.lock new file mode 100644 index 000000000000..9114c7dd81e7 --- /dev/null +++ b/release/ray_release/byod/ray_base_extra_testdeps_py3.12.lock @@ -0,0 +1,2730 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.12 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_byod_3.12.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_base_extra_testdeps_py3.12.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # adlfs + # anyscale +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # jupyter-server +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # isoduration +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # stack-data +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # nbconvert +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # nbconvert +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # anyscale + # boto3 + # s3transfer +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # anyscale + # requests +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # anyscale +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # log-symbols +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # ipython +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # nbconvert +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # jupyter-client + # nbconvert +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # stack-data +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # nbformat +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # adlfs +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # anyscale +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # anyscale + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # google-api-python-client +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # anyscale + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-auth-httplib2 + # oauth2client +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # jsonschema + # requests + # yarl +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # jsonschema +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbclassic + # nbconvert + # notebook +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # boto3 + # botocore +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # ipywidgets +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # nbconvert +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 + # nbconvert +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipython +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # nbconvert +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # azure-identity +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # nbclassic +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # anyscale +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbconvert +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # anyscale +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # ipython +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # jupyter-core +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # msal-extensions +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ipykernel +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # stack-data +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # msal +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # google-oauth +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # httplib2 +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # jupyter-events +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-events +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # nbclassic + # notebook +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # azure-core + # azure-datalake-store + # google-api-core + # google-cloud-storage + # google-oauth + # jupyterlab-server + # msal + # smart-open +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # anyscale +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # boto3 +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # azure-core + # bleach + # google-oauth + # isodate + # oauth2client + # python-dateutil + # rfc3339-validator +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # anyscale +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # ipython +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # anyscale +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # anyscale +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # nbconvert +tornado==6.5.2 \ + --hash=sha256:06ceb1300fd70cb20e43b1ad8aaee0266e69e7ced38fa910ad2e03285009ce7c \ + --hash=sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6 \ + --hash=sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef \ + --hash=sha256:74db443e0f5251be86cbf37929f84d8c20c27a355dd452a5cfa2aada0d001ec4 \ + --hash=sha256:ab53c8f9a0fa351e2c0741284e06c7a45da86afb544133201c5cc8578eb076a0 \ + --hash=sha256:b0fe179f28d597deab2842b86ed4060deec7388f1fd9c1b4a41adf8af058907e \ + --hash=sha256:b186e85d1e3536d69583d2298423744740986018e393d0321df7340e71898882 \ + --hash=sha256:b5e735ab2889d7ed33b32a459cac490eda71a1ba6857b0118de476ab6c366c04 \ + --hash=sha256:c6f29e94d9b37a95013bb669616352ddb82e3bfe8326fccee50583caebc8a5f0 \ + --hash=sha256:d6c33dc3672e3a1f3618eb63b7ef4683a7688e7b9e6e8f0d9aa5726360a004af \ + --hash=sha256:e56a5af51cc30dd2cae649429af65ca2f6571da29504a07995175df14c18f35f \ + --hash=sha256:e792706668c87709709c18b353da1f7662317b563ff69f00bab83595940c7108 + # via + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # anyscale +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # pyopenssl + # referencing +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # anyscale + # botocore + # requests +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # anyscale +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # anyscale +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/ray_base_extra_testdeps_py3.9.lock b/release/ray_release/byod/ray_base_extra_testdeps_py3.9.lock new file mode 100644 index 000000000000..f8435ce06a8c --- /dev/null +++ b/release/ray_release/byod/ray_base_extra_testdeps_py3.9.lock @@ -0,0 +1,4612 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_byod_3.9.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_base_extra_testdeps_py3.9.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +absl-py==1.4.0 \ + --hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \ + --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorboard + # tensorflow +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiobotocore==2.8.0 \ + --hash=sha256:32e632fea387acd45416c2bbc03828ee2c2a66a7dc4bd3a9bcb808dea249c469 \ + --hash=sha256:f160497cef21cfffc1a8d4219eeb27bb7b243389c2d021a812b9c0e3fb8e2bd1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # s3fs +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # aiobotocore + # anyscale + # gcsfs + # google-auth + # s3fs +aioitertools==0.11.0 \ + --hash=sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394 \ + --hash=sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiobotocore +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ypy-websocket +ale-py==0.10.1 \ + --hash=sha256:076a44a61c2518b844f765692a91d0a6b383c6592b5fdabd94fd24d4c62a54ef \ + --hash=sha256:0835ee11004efeb5a9805a09c1525242f737257a8a4f5f4f0b9b3e047e6dca86 \ + --hash=sha256:12617edc9799c73570df67a731a4293bcfd500f413e0bfa867b53fc411fa7629 \ + --hash=sha256:24b9e61a4e868a4266f8a0ef7809cc20cecedb8c10d515d14ff6078950d51d8b \ + --hash=sha256:24f7aa19e1b3b1540516942020a95f57964af71285497620e58f03b2c113424e \ + --hash=sha256:3971a8552d2f982f569c87152479901574a9fe86410e5d1a26276e7ffccb59e1 \ + --hash=sha256:3d82d81715f15598b9db50529da971d36117cda027af9d112bd2ea22cefe3bcb \ + --hash=sha256:43d63b262f4b3bfcd567ce736a5648b4193470b2691bc14e38ac0c05dfe2a7e2 \ + --hash=sha256:4dd55a52e074497f1143785a215a50706afba3111be8b4923d46cc507c16be8f \ + --hash=sha256:4f3aaea36c1671812c21b5f7c5dcf9f5f9c726f5b10cbe7a657a844de963bb55 \ + --hash=sha256:5d4f326236c95736182323a480363c7b98959fc9a4ba09d2aa5b152faa6a2d59 \ + --hash=sha256:6f0a3da4ff47f913b5c61e66571fe7fb92fc569e5babdf4b0eeee348aac1d457 \ + --hash=sha256:771d5a1cd5a50d2cf226eba45c418fb7a18b453bd332b6a2189310030eda421a \ + --hash=sha256:7733d521921452b9e644e9e31e4d5b1ba612305473c5ba0266cafb7eff6a5461 \ + --hash=sha256:82c676030b8b6543cb6969a905ff841ae6f086a2efe707542d014ef6ca4ada4e \ + --hash=sha256:92a31bd44687c6a3595fcdac35bc3238e305dd604171ba6a9cb7912bc83c99ee \ + --hash=sha256:9f30d763c38063e5579783844868c1330f89049f252e94c49534785515f785f2 \ + --hash=sha256:9fa3f3977f63b685394301432cba7fe417882cfea72424d75aaf6bf98f79a2c9 \ + --hash=sha256:b84025670cf37527348a417d7465ee193a19d0a336bcd62f943957c13fef6ebb \ + --hash=sha256:c43308af7013cb60c6f5e77cba2b9ccaed2f5e2ae444b365dce9b7ac3bb5d48f \ + --hash=sha256:c77653e47d79e60abcc21bfad7dd105784ce2649fc5bc4eaaa1de45b40112772 \ + --hash=sha256:c9fac7fe11c56ed301a409d8a940f3e764ed2929b756ebb033eadf492a3d696e \ + --hash=sha256:d3247ad68f7dda1f9c046ede74310e347114f2c191a9f4cd247f432410941eb9 \ + --hash=sha256:e0637ddc4074b814ae46db28d61aface08d7eba16ea713cdfe0734e0b18c3794 \ + --hash=sha256:f6f91ab4b2a18e24c82a33fd1d616f32d121fcd6429f9045d515960df8cdc580 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # gymnasium +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # httpx + # jupyter-server + # starlette +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +argcomplete==3.3.0 \ + --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ + --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # isoduration +asciitree==0.3.3 \ + --hash=sha256:4aa4b9b649f85e3fcb343363d97564aa1fb62e249677f2e18a96765145cc0f6e + # via zarr +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +astunparse==1.6.3 \ + --hash=sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872 \ + --hash=sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +boto==2.49.0 \ + --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ + --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiobotocore + # anyscale + # boto3 + # s3transfer +brotli==1.1.0 \ + --hash=sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208 \ + --hash=sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48 \ + --hash=sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354 \ + --hash=sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419 \ + --hash=sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a \ + --hash=sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128 \ + --hash=sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c \ + --hash=sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088 \ + --hash=sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9 \ + --hash=sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a \ + --hash=sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3 \ + --hash=sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757 \ + --hash=sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2 \ + --hash=sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438 \ + --hash=sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578 \ + --hash=sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b \ + --hash=sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b \ + --hash=sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68 \ + --hash=sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0 \ + --hash=sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d \ + --hash=sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943 \ + --hash=sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd \ + --hash=sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409 \ + --hash=sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28 \ + --hash=sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da \ + --hash=sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50 \ + --hash=sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f \ + --hash=sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0 \ + --hash=sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547 \ + --hash=sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180 \ + --hash=sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0 \ + --hash=sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d \ + --hash=sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a \ + --hash=sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb \ + --hash=sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112 \ + --hash=sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc \ + --hash=sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2 \ + --hash=sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265 \ + --hash=sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327 \ + --hash=sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95 \ + --hash=sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec \ + --hash=sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd \ + --hash=sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c \ + --hash=sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38 \ + --hash=sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914 \ + --hash=sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0 \ + --hash=sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a \ + --hash=sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7 \ + --hash=sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368 \ + --hash=sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c \ + --hash=sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0 \ + --hash=sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f \ + --hash=sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451 \ + --hash=sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f \ + --hash=sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8 \ + --hash=sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e \ + --hash=sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248 \ + --hash=sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c \ + --hash=sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91 \ + --hash=sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724 \ + --hash=sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7 \ + --hash=sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966 \ + --hash=sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9 \ + --hash=sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97 \ + --hash=sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d \ + --hash=sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5 \ + --hash=sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf \ + --hash=sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac \ + --hash=sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b \ + --hash=sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951 \ + --hash=sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74 \ + --hash=sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648 \ + --hash=sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60 \ + --hash=sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c \ + --hash=sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1 \ + --hash=sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8 \ + --hash=sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d \ + --hash=sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc \ + --hash=sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61 \ + --hash=sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460 \ + --hash=sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751 \ + --hash=sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9 \ + --hash=sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2 \ + --hash=sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0 \ + --hash=sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1 \ + --hash=sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474 \ + --hash=sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75 \ + --hash=sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5 \ + --hash=sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f \ + --hash=sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2 \ + --hash=sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f \ + --hash=sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb \ + --hash=sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6 \ + --hash=sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9 \ + --hash=sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111 \ + --hash=sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2 \ + --hash=sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01 \ + --hash=sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467 \ + --hash=sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619 \ + --hash=sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf \ + --hash=sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408 \ + --hash=sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579 \ + --hash=sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84 \ + --hash=sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7 \ + --hash=sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c \ + --hash=sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284 \ + --hash=sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52 \ + --hash=sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b \ + --hash=sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59 \ + --hash=sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752 \ + --hash=sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1 \ + --hash=sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80 \ + --hash=sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839 \ + --hash=sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0 \ + --hash=sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2 \ + --hash=sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3 \ + --hash=sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64 \ + --hash=sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089 \ + --hash=sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643 \ + --hash=sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b \ + --hash=sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e \ + --hash=sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985 \ + --hash=sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596 \ + --hash=sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2 \ + --hash=sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064 + # via geventhttpclient +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # geventhttpclient + # httpcore + # httpx + # requests +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # flask + # typer +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gymnasium +cmake==4.1.0 \ + --hash=sha256:0e2fea746d746f52aa52b8498777ff665a0627d9b136bec4ae0465c38b75e799 \ + --hash=sha256:2a8790473afbb895b8e684e479f26773e4fc5c86845e3438e8488d38de9db807 \ + --hash=sha256:2d9f14b7d58e447865c111b3b90945b150724876866f5801c80970151718f710 \ + --hash=sha256:3ee38de00cad0501c7dd2b94591522381e3ef9c8468094f037a17ed9e478ef13 \ + --hash=sha256:4e3a30a4f72a8a6d8d593dc289e791f1d84352c1f629543ac8e22c62dbadb20a \ + --hash=sha256:574448a03acdf34c55a7c66485e7a8260709e8386e9145708e18e2abe5fc337b \ + --hash=sha256:5a28a87601fa5e775017bf4f5836e8e75091d08f3e5aac411256754ba54fe5c4 \ + --hash=sha256:69df62445b22d78c2002c22edeb0e85590ae788e477d222fb2ae82c871c33090 \ + --hash=sha256:7219b7e85ed03a98af89371b9dee762e236ad94e8a09ce141070e6ac6415756f \ + --hash=sha256:76e8e7d80a1a9bb5c7ec13ec8da961a8c5a997247f86a08b29f0c2946290c461 \ + --hash=sha256:7c7999c5a1d5a3a66adacc61056765557ed253dc7b8e9deab5cae546f4f9361c \ + --hash=sha256:8d39bbfee7c181e992875cd390fc6d51a317c9374656b332021a67bb40c0b07f \ + --hash=sha256:b8c2538fb557b9edd74d48c189fcde42a55ad7e2c39e04254f8c5d248ca1af4c \ + --hash=sha256:bacdd21aebdf9a42e5631cfb365beb8221783fcd27c4e04f7db8b79c43fb12df \ + --hash=sha256:c6bd346fe4d9c205310ef9a6e09ced7e610915fa982d7b649f9b12caa6fa0605 \ + --hash=sha256:d54e68d5439193265fd7211671420601f6a672b8ca220f19e6c72238b41a84c2 \ + --hash=sha256:dab375932f5962e078da8cf76ca228c21bf4bea9ddeb1308e2b35797fa30f784 \ + --hash=sha256:e77ac2554a7b8a94745add465413e3266b714766e9a5d22ac8e5b36a900a1136 \ + --hash=sha256:f2eaa6f0a25e31fe09fb0b7f40fbf208eea5f1313093ff441ecfff7dc1b80adf + # via -r release/ray_release/byod/requirements_byod_3.9.in +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # log-symbols +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipywidgets +configargparse==1.7.1 \ + --hash=sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9 \ + --hash=sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6 + # via locust +crc32c==2.3 \ + --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ + --hash=sha256:0c1f3e28b8aec8a0f7727337fafa31f0ace38e59e054c51fecb923535c6dc6e6 \ + --hash=sha256:17ce6c596ad0d53df52dcd72defb66984aeabd98fbefea7ba848a6b6bdece36a \ + --hash=sha256:1d334d51d395f78fb649e8442341da782e63d3f9552fcfbc040995d24d4b794d \ + --hash=sha256:250af144edce7850a35c618b4dd1bf56436e031560228c17a7c78bf29239ceb0 \ + --hash=sha256:255e35719c252ce7609cb3f1c5a045783a6e0d6d7b035d507ddd82d5194c236a \ + --hash=sha256:327e44184826cd1c72bcd4a9b2c4badfd29501333e158460c7d3ad8b7f066588 \ + --hash=sha256:32c573dd861933e2390932cc10e1b78d71ee7827ee4dfcec96e23cf007a1a6d3 \ + --hash=sha256:374d288cc1735932276bc65670db329dd9fe2af4ec323599dc40e1212b13985e \ + --hash=sha256:3f372a53e9cf2464421b82b41fb66d98f654284c8fc4363f51bb0f5485fdc2b4 \ + --hash=sha256:4323f56908b7e5cea039122aad039fcf750974b09e4f993244d4dddb24cab561 \ + --hash=sha256:47088e524a9ec2887ae0ec519d75df40f005debf9d52f10e688f27e7cc0d339c \ + --hash=sha256:4ab21f02c13dc5a0411838d0709cb4d24bcb865ea28b683b7403826c08d14e27 \ + --hash=sha256:4ac8738e9cd28948e40fb3a3c89a44660e4ad266f7726964200224e101f5c8ef \ + --hash=sha256:4d223e844ee61ac492f0197b62ccc2a9c23db15e4d2938e698fec6eded0daf15 \ + --hash=sha256:554bc2a9ccfa7c02bb8a5346fd546b65ed265965e7fea768c7f2681f2b68d6a0 \ + --hash=sha256:5612be1606eec55511ade38deec40c9f1c7647ec0407a4031e0a2e6e6a635f27 \ + --hash=sha256:5a13d41a29d3feea5ba87def9d4dccc3362139345a24997de33fad00b656622b \ + --hash=sha256:5aa6383c0a13a542c3f1eb82a02e29c1141e0a2bc63faedd0062d1c41649989f \ + --hash=sha256:5ddf91756d6275f497d0895b8875d1f1fdac6be08a5900f4123ede2c91cd1422 \ + --hash=sha256:5e076ae46ac0e4e28eb43932c5c0b8e1b8751bb7d1b0d239f18230aed7cca3bf \ + --hash=sha256:5f347244590f294eaea2e92546100bd56db926305e0603a0d57a88e59f86b308 \ + --hash=sha256:61479a60d5a2b3160a4ae17b37df119963a741fd61ca71d4792670cdf7d7ea41 \ + --hash=sha256:682974e2cfb199ebc4adc5eb4d493dbcf83812a031a8ecccae5a7b5bcade5d9f \ + --hash=sha256:6872d8728f30f2a13f95762801428cf92a7ee6f170c872be81a17b1549b69131 \ + --hash=sha256:6b7c71a3ae1511c42b7919e6116560c08ba89479ea249f281c5bfba2b619411d \ + --hash=sha256:7eb1fea3d9ec71f353a6c38648d074e722fff1f43c1998ae6088dbee324a1ca6 \ + --hash=sha256:7ec3d9257d0624fb74335f67592b6a30de5e0cfb60322ed8682e35820decac8f \ + --hash=sha256:8067ce072908626869b583700da6b4bfc9a538975d77232ae68a31d8af5f1ff6 \ + --hash=sha256:82942ed343e5c884b5c0c9aa6bb5bb47de0247df95ce5d154cc48744d5c2ffd4 \ + --hash=sha256:8363b553b33719b37fff46378a6e96106fd9232d2e043eebb6c6da46925c7663 \ + --hash=sha256:865bf66d86809971d4856e38085a4a15a7251b8e780f22ad52e12b50784dac25 \ + --hash=sha256:866d1cbe646bdef67fc225371da265f081809bcf238bf562d6874c97e7fcb0d6 \ + --hash=sha256:8948a9262d36e2aad3be74aac3ce7a1b090ab2361f7619b3f23418fa536f1b25 \ + --hash=sha256:896bda76db13f229c1126d5e384673f78e06685e70d76fff4c5a3f65b4068b4d \ + --hash=sha256:8ab9df0bd9bf10f3d5bd346321d48da8a28392b1f48f7a6fa3234acebe6ee448 \ + --hash=sha256:90c46644225dc7f71b4dd499ed71ada59d061fd60aa55233270d088ee8cfcd13 \ + --hash=sha256:9ce72a40c17636af97e37bad2f2c11a2e740f57d4051ef586c04d1aa83db8b38 \ + --hash=sha256:a2427a9196c2b8b1c27d7e31cc5c9fff13af0b1411ff1565459f65554990f055 \ + --hash=sha256:a423c098ceffbd70544d1de3e00eeb45ec4b8463ab5d8005389fbbf3243314d1 \ + --hash=sha256:a51ac079c44297bbf624a598cffe6f85bd0a5faf780fd75d2d5e531d42d427ef \ + --hash=sha256:a5560faa3f673183eb1e2fc2c1361cc9ab86865a1d5774baf61fec9ca6c1a696 \ + --hash=sha256:a7d568eb07473d9bc6fb413a4d3248265212c537b80d494ab884cc5316589110 \ + --hash=sha256:ad57917650af59c989b62184fc4604d6c5066fc030ced4c6e07a596000f1ab86 \ + --hash=sha256:ad83e4c78379cc3e22b760e9874bc57f91a9cfb85107ccba1c6442bc1a2e2a1c \ + --hash=sha256:b04c44ad7cde9c21ad426bdfa675ba7039db82a6961c99690f9d2ff2f034c892 \ + --hash=sha256:b917b73d810bcdbcd1461978ba55038dcf2bbc3b56704b0082d2f9b0d5edc7ad \ + --hash=sha256:c04a27ba3cbc7a9e34c77f402bd3a83442a2c7acd3897d2539b1a3321ed28a6a \ + --hash=sha256:c59c6ea67ab927b2ab958c7b01a6b17c9cad882e7a1da51b9c35fbc9874ff46a \ + --hash=sha256:c74d81a00972cbe65e27e99838b44ed5e04bced971e5bfa01c27a4bd17138442 \ + --hash=sha256:ca03d8d5b35a26e0d3eb8c7121de3e37a59042735029eabcf1c4b15343f82cdd \ + --hash=sha256:cea0fe7053e36a4809e5bf95989552f52c98bbc94dca9062fb5b8c976daa0f32 \ + --hash=sha256:d27116037f97a02f1a123ca82008ee993c28afe8590e047a6cd86aca33653cca \ + --hash=sha256:d82fa5bb0661a7a508e62730d4d9045f53d4ab6a9211b560a014f1d58a8337cb \ + --hash=sha256:dce1deda03c6dbe0f5ae6e3e0f8671caead64075fd19a61b1700d42a88af97c8 \ + --hash=sha256:dd9bc7e5599f5970fff1f9aa551639336a76d1bb1fb00f0b87704049df8ba035 \ + --hash=sha256:df19ab6ab3884a237388c7720b1fe617dd4893305f62383d0f96fc7980dfdf7c \ + --hash=sha256:e14f4d57e004fa5a6100ea3aeb9574bee6f95965a96a382154fa40aee1fdeb5e \ + --hash=sha256:e6e16d57b8103fee9fdecb38e908d9ceb70d2196bb932dba64bf7b570f44c0b9 \ + --hash=sha256:ed14214fcc1416e0dc63be4c88aad7f58e0f0cb2c22d578b861e8fc19d1b2d2f \ + --hash=sha256:ef1165f7f36edaae03fcf03f1ca3bdbf196a5255d656bfb17959ba0405a2c8ee \ + --hash=sha256:f1679f7f700f2aec3dbee4e357a2fdde53e2ec151dde4e0b52a9205fac273a90 \ + --hash=sha256:f524fd202472d041b9bddb4a51b5fff28767a9c69953dbcdeecc67ef65707c07 \ + --hash=sha256:f641a9bd24a309637cca6c119b8aabdfe6d41bab5ea630124ee9be7891e36ba1 \ + --hash=sha256:f9a070dbe10dac29c2f591a59300c37448e3c7a747b6ea18d4826b7c94a956bd \ + --hash=sha256:fac1b4248625acd65985378f6b34a00b73cfc9db5b8ccc73101744de2e3dfa66 \ + --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +crcmod==1.7 \ + --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_byod_3.9.in +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs + # ipython +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +dill==0.3.7 \ + --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ + --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +diskcache==5.6.3 \ + --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ + --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 + # via petastorm +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-client + # nbconvert +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via + # anyio + # pytest +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +farama-notifications==0.0.4 \ + --hash=sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18 \ + --hash=sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gymnasium +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +fasteners==0.19 \ + --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ + --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-apitools + # gsutil + # zarr +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbformat +flask==2.1.3 \ + --hash=sha256:15972e5017df0575c3d6c090ba168b6db90259e620ac8d7ea813a396bad5b6cb \ + --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask-basicauth + # flask-cors + # locust +flask-basicauth==0.2.0 \ + --hash=sha256:df5ebd489dc0914c224419da059d991eb72988a01cdd4b956d52932ce7d501ff + # via locust +flask-cors==4.0.0 \ + --hash=sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783 \ + --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # locust +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # tensorflow +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # aiosignal +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # gcsfs + # petastorm + # s3fs +future==1.0.0 \ + --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ + --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +gast==0.6.0 \ + --hash=sha256:52b182313f7330389f72b069ba00f174cfe2a06411099547288839c6cbafbd54 \ + --hash=sha256:88fc5300d32c7ac6ca7b515310862f71e6fdf2c029bbec7c66c0f5dd47b6b1fb + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +gcs-oauth2-boto-plugin==3.0 \ + --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c + # via -r release/ray_release/byod/requirements_byod_3.9.in +gevent==24.2.1 \ + --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ + --hash=sha256:117e5837bc74a1673605fb53f8bfe22feb6e5afa411f524c835b2ddf768db0de \ + --hash=sha256:141a2b24ad14f7b9576965c0c84927fc85f824a9bb19f6ec1e61e845d87c9cd8 \ + --hash=sha256:14532a67f7cb29fb055a0e9b39f16b88ed22c66b96641df8c04bdc38c26b9ea5 \ + --hash=sha256:1dffb395e500613e0452b9503153f8f7ba587c67dd4a85fc7cd7aa7430cb02cc \ + --hash=sha256:2955eea9c44c842c626feebf4459c42ce168685aa99594e049d03bedf53c2800 \ + --hash=sha256:2ae3a25ecce0a5b0cd0808ab716bfca180230112bb4bc89b46ae0061d62d4afe \ + --hash=sha256:2e9ac06f225b696cdedbb22f9e805e2dd87bf82e8fa5e17756f94e88a9d37cf7 \ + --hash=sha256:368a277bd9278ddb0fde308e6a43f544222d76ed0c4166e0d9f6b036586819d9 \ + --hash=sha256:3adfb96637f44010be8abd1b5e73b5070f851b817a0b182e601202f20fa06533 \ + --hash=sha256:3d5325ccfadfd3dcf72ff88a92fb8fc0b56cacc7225f0f4b6dcf186c1a6eeabc \ + --hash=sha256:432fc76f680acf7cf188c2ee0f5d3ab73b63c1f03114c7cd8a34cebbe5aa2056 \ + --hash=sha256:44098038d5e2749b0784aabb27f1fcbb3f43edebedf64d0af0d26955611be8d6 \ + --hash=sha256:5a1df555431f5cd5cc189a6ee3544d24f8c52f2529134685f1e878c4972ab026 \ + --hash=sha256:6c47ae7d1174617b3509f5d884935e788f325eb8f1a7efc95d295c68d83cce40 \ + --hash=sha256:6f947a9abc1a129858391b3d9334c45041c08a0f23d14333d5b844b6e5c17a07 \ + --hash=sha256:782a771424fe74bc7e75c228a1da671578c2ba4ddb2ca09b8f959abdf787331e \ + --hash=sha256:7899a38d0ae7e817e99adb217f586d0a4620e315e4de577444ebeeed2c5729be \ + --hash=sha256:7b00f8c9065de3ad226f7979154a7b27f3b9151c8055c162332369262fc025d8 \ + --hash=sha256:8f4b8e777d39013595a7740b4463e61b1cfe5f462f1b609b28fbc1e4c4ff01e5 \ + --hash=sha256:90cbac1ec05b305a1b90ede61ef73126afdeb5a804ae04480d6da12c56378df1 \ + --hash=sha256:918cdf8751b24986f915d743225ad6b702f83e1106e08a63b736e3a4c6ead789 \ + --hash=sha256:9202f22ef811053077d01f43cc02b4aaf4472792f9fd0f5081b0b05c926cca19 \ + --hash=sha256:94138682e68ec197db42ad7442d3cf9b328069c3ad8e4e5022e6b5cd3e7ffae5 \ + --hash=sha256:968581d1717bbcf170758580f5f97a2925854943c45a19be4d47299507db2eb7 \ + --hash=sha256:9d8d0642c63d453179058abc4143e30718b19a85cbf58c2744c9a63f06a1d388 \ + --hash=sha256:a7ceb59986456ce851160867ce4929edaffbd2f069ae25717150199f8e1548b8 \ + --hash=sha256:b9913c45d1be52d7a5db0c63977eebb51f68a2d5e6fd922d1d9b5e5fd758cc98 \ + --hash=sha256:bde283313daf0b34a8d1bab30325f5cb0f4e11b5869dbe5bc61f8fe09a8f66f3 \ + --hash=sha256:bf5b9c72b884c6f0c4ed26ef204ee1f768b9437330422492c319470954bc4cc7 \ + --hash=sha256:ca80b121bbec76d7794fcb45e65a7eca660a76cc1a104ed439cdbd7df5f0b060 \ + --hash=sha256:cdf66977a976d6a3cfb006afdf825d1482f84f7b81179db33941f2fc9673bb1d \ + --hash=sha256:d4faf846ed132fd7ebfbbf4fde588a62d21faa0faa06e6f468b7faa6f436b661 \ + --hash=sha256:d7f87c2c02e03d99b95cfa6f7a776409083a9e4d468912e18c7680437b29222c \ + --hash=sha256:dd23df885318391856415e20acfd51a985cba6919f0be78ed89f5db9ff3a31cb \ + --hash=sha256:f5de3c676e57177b38857f6e3cdfbe8f38d1cd754b63200c0615eaa31f514b4f \ + --hash=sha256:f5e8e8d60e18d5f7fd49983f0c4696deeddaf6e608fbab33397671e2fcc6cc91 \ + --hash=sha256:f7cac622e11b4253ac4536a654fe221249065d9a69feb6cdcd4d9af3503602e0 \ + --hash=sha256:f8a04cf0c5b7139bc6368b461257d4a757ea2fe89b3773e494d235b7dd51119f \ + --hash=sha256:f8bb35ce57a63c9a6896c71a285818a3922d8ca05d150fd1fe49a7f57287b836 \ + --hash=sha256:fbfdce91239fe306772faab57597186710d5699213f4df099d1612da7320d682 + # via + # geventhttpclient + # locust +geventhttpclient==2.3.4 \ + --hash=sha256:0129ce7ef50e67d66ea5de44d89a3998ab778a4db98093d943d6855323646fa5 \ + --hash=sha256:024b9e2e3203cc5e2c34cb5efd16ba0f2851e39c45abdc2966a8c30a935094fc \ + --hash=sha256:04a3328e687c419f78926a791df48c7672e724fa75002f2d3593df96510696e6 \ + --hash=sha256:0599fd7ca84a8621f8d34c4e2b89babae633b34c303607c61500ebd3b8a7687a \ + --hash=sha256:063991edd5468401377116cc2a71361a88abce9951f60ba15b7fe1e10ce00f25 \ + --hash=sha256:07152cad33b39d365f239b4fa1f818f4801c07e16ce0a0fee7d5fee2cabcb07b \ + --hash=sha256:08ea2e92a1a4f46d3eeff631fa3f04f4d12c78523dc9bffc3b05b3dd93233050 \ + --hash=sha256:110d863baf7f0a369b6c22be547c5582e87eea70ddda41894715c870b2e82eb0 \ + --hash=sha256:142870c2efb6bd0a593dcd75b83defb58aeb72ceaec4c23186785790bd44a311 \ + --hash=sha256:15b2567137734183efda18e4d6245b18772e648b6a25adea0eba8b3a8b0d17e8 \ + --hash=sha256:1749f75810435a001fc6d4d7526c92cf02b39b30ab6217a886102f941c874222 \ + --hash=sha256:182f5158504ac426d591cfb1234de5180813292b49049e761f00bf70691aace5 \ + --hash=sha256:195e396c59f25958ad6f79d2c58431cb8b1ff39b5821e6507bf539c79b5681dc \ + --hash=sha256:19721357db976149ccf54ac279eab8139da8cdf7a11343fd02212891b6f39677 \ + --hash=sha256:1c69c4ec9b618ca42008d6930077d72ee0c304e2272a39a046e775c25ca4ac44 \ + --hash=sha256:1d23fe37b9d79b17dbce2d086006950d4527a2f95286046b7229e1bd3d8ac5e4 \ + --hash=sha256:20c65d404fa42c95f6682831465467dff317004e53602c01f01fbd5ba1e56628 \ + --hash=sha256:226d9fca98469bd770e3efd88326854296d1aa68016f285bd1a2fb6cd21e17ee \ + --hash=sha256:227579b703085c4e5c6d5217ad6565b19ac8d1164404133e5874efaae1905114 \ + --hash=sha256:2335963f883a94f503b321f7abfb38a4efbca70f9453c5c918cca40a844280cd \ + --hash=sha256:2574ee47ff6f379e9ef124e2355b23060b81629f1866013aa975ba35df0ed60b \ + --hash=sha256:2a8cde016e5ea6eb289c039b6af8dcef6c3ee77f5d753e57b48fe2555cdeacca \ + --hash=sha256:2fa223034774573218bb49e78eca7e92b8c82ccae9d840fdcf424ea95c2d1790 \ + --hash=sha256:30671bb44f5613177fc1dc7c8840574d91ccd126793cd40fc16915a4abc67034 \ + --hash=sha256:389d3f83316220cfa2010f41401c140215a58ddba548222e7122b2161e25e391 \ + --hash=sha256:39746bcd874cb75aaf6d16cdddd287a29721e8b56c20dd8a4d4ecde1d3b92f14 \ + --hash=sha256:3a74f7b926badb3b1d47ea987779cb83523a406e89203070b58b20cf95d6f535 \ + --hash=sha256:407cb68a3c3a2c4f5d503930298f2b26ae68137d520e8846d8e230a9981d9334 \ + --hash=sha256:416cc70adb3d34759e782d2e120b4432752399b85ac9758932ecd12274a104c3 \ + --hash=sha256:41f2dcc0805551ea9d49f9392c3b9296505a89b9387417b148655d0d8251b36e \ + --hash=sha256:42b6f6afb0d3aab6a013c9cdb97e19bf4fe08695975670d0a018113d24cb344c \ + --hash=sha256:4371b1b1afc072ad2b0ff5a8929d73ffd86d582908d3e9e8d7911dc027b1b3a6 \ + --hash=sha256:44e9ba810c28f9635e5c4c9cf98fc6470bad5a3620d8045d08693f7489493a3c \ + --hash=sha256:461e4d9f4caee481788ec95ac64e0a4a087c1964ddbfae9b6f2dc51715ba706c \ + --hash=sha256:46eda9a9137b0ca7886369b40995d2a43a5dff033d0a839a54241015d1845d41 \ + --hash=sha256:47dbf8a163a07f83b38b0f8a35b85e5d193d3af4522ab8a5bbecffff1a4cd462 \ + --hash=sha256:49f5e2051f7d06cb6476500a2ec1b9737aa3160258f0344b07b6d8e8cda3a0cb \ + --hash=sha256:4b802000a4fad80fa57e895009671d6e8af56777e3adf0d8aee0807e96188fd9 \ + --hash=sha256:4c24db3faa829244ded6805b47aec408df2f5b15fe681e957c61543070f6e405 \ + --hash=sha256:4e39ad577b33a5be33b47bff7c2dda9b19ced4773d169d6555777cd8445c13c0 \ + --hash=sha256:4e492b9ab880f98f8a9cc143b96ea72e860946eae8ad5fb2837cede2a8f45154 \ + --hash=sha256:501d5c69adecd5eaee3c22302006f6c16aa114139640873b72732aa17dab9ee7 \ + --hash=sha256:503db5dd0aa94d899c853b37e1853390c48c7035132f39a0bab44cbf95d29101 \ + --hash=sha256:525bd192705b5cb41a7cc3fe41fca194bfd6b5b59997ab9fe68fe0a82dab6140 \ + --hash=sha256:54fbbcca2dcf06f12a337dd8f98417a09a49aa9d9706aa530fc93acb59b7d83c \ + --hash=sha256:5660dfd692bc2cbd3bd2d0a2ad2a58ec47f7778042369340bdea765dc10e5672 \ + --hash=sha256:59a2e7c136a3e6b60b87bf8b87e5f1fb25705d76ab7471018e25f8394c640dda \ + --hash=sha256:5aa16f2939a508667093b18e47919376f7db9a9acbe858343173c5a58e347869 \ + --hash=sha256:5ee758e37215da9519cea53105b2a078d8bc0a32603eef2a1f9ab551e3767dee \ + --hash=sha256:5f71c75fc138331cbbe668a08951d36b641d2c26fb3677d7e497afb8419538db \ + --hash=sha256:5fde955b634a593e70eae9b4560b74badc8b2b1e3dd5b12a047de53f52a3964a \ + --hash=sha256:62f3a29bf242ecca6360d497304900683fd8f42cbf1de8d0546c871819251dad \ + --hash=sha256:6409fcda1f40d66eab48afc218b4c41e45a95c173738d10c50bc69c7de4261b9 \ + --hash=sha256:650bf5d07f828a0cb173dacc4bb28e2ae54fd840656b3e552e5c3a4f96e29f08 \ + --hash=sha256:69668589359db4cbb9efa327dda5735d1e74145e6f0a9ffa50236d15cf904053 \ + --hash=sha256:6c4b796a59bed199884fe9d59a447fd685aa275a1406bc1f7caebd39a257f56e \ + --hash=sha256:6c87a1762aba525b00aac34e1ffb97d083f94ef505282a461147298f32b2ae27 \ + --hash=sha256:707a66cd1e3bf06e2c4f8f21d3b4e6290c9e092456f489c560345a8663cdd93e \ + --hash=sha256:709f557138fb84ed32703d42da68f786459dab77ff2c23524538f2e26878d154 \ + --hash=sha256:71206ab89abdd0bd5fee21e04a3995ec1f7d8ae1478ee5868f9e16e85a831653 \ + --hash=sha256:71dbc6d4004017ef88c70229809df4ad2317aad4876870c0b6bcd4d6695b7a8d \ + --hash=sha256:72575c5b502bf26ececccb905e4e028bb922f542946be701923e726acf305eb6 \ + --hash=sha256:736aa8e9609e4da40aeff0dbc02fea69021a034f4ed1e99bf93fc2ca83027b64 \ + --hash=sha256:73a88925055acc56811927614bb8be3e784fdd5149819fa26c2af6a43a2e43f5 \ + --hash=sha256:73e7d2e3d2d67e25d9d0f2bf46768650a57306a0587bbcdbfe2f4eac504248d2 \ + --hash=sha256:75585278b2e3cd1a866bc2a95be7e0ab53c51c35c9e0e75161ff4f30817b3da8 \ + --hash=sha256:83143b41bde2eb010c7056f142cb764cfbf77f16bf78bda2323a160767455cf5 \ + --hash=sha256:8714a3f2c093aeda3ffdb14c03571d349cb3ed1b8b461d9f321890659f4a5dbf \ + --hash=sha256:888e34d2e53d0f1dab85ff3e5ca81b8b7949b9e4702439f66f4ebf61189eb923 \ + --hash=sha256:88b5e6cc958907dd6a13d3f8179683c275f57142de95d0d652a54c8275e03a8b \ + --hash=sha256:8a681433e2f3d4b326d8b36b3e05b787b2c6dd2a5660a4a12527622278bf02ed \ + --hash=sha256:8d1d0db89c1c8f3282eac9a22fda2b4082e1ed62a2107f70e3f1de1872c7919f \ + --hash=sha256:91f19a8a6899c27867dbdace9500f337d3e891a610708e86078915f1d779bf53 \ + --hash=sha256:93926aacdb0f4289b558f213bc32c03578f3432a18b09e4b6d73a716839d7a74 \ + --hash=sha256:96578fc4a5707b5535d1c25a89e72583e02aafe64d14f3b4d78f9c512c6d613c \ + --hash=sha256:97cd2ab03d303fd57dea4f6d9c2ab23b7193846f1b3bbb4c80b315ebb5fc8527 \ + --hash=sha256:9ac30c38d86d888b42bb2ab2738ab9881199609e9fa9a153eb0c66fc9188c6cb \ + --hash=sha256:9b50d9daded5d36193d67e2fc30e59752262fcbbdc86e8222c7df6b93af0346a \ + --hash=sha256:9c7a0c11afc1fe2c8338e5ccfd7ffdab063b84ace8b9656b5b3bc1614ee8a234 \ + --hash=sha256:9d477ae1f5d42e1ee6abbe520a2e9c7f369781c3b8ca111d1f5283c1453bc825 \ + --hash=sha256:9d54b8e9a44890159ae36ba4ae44efd8bb79ff519055137a340d357538a68aa3 \ + --hash=sha256:9f5514890bbb54a7c35fb66120c7659040182d54e735fe717642b67340b8131a \ + --hash=sha256:9f707dbdaad78dafe6444ee0977cbbaefa16ad10ab290d75709170d124bac4c8 \ + --hash=sha256:a3ba0aa08f5eaa7165bf90fb06adf124511dbdf517500ab0793883f648feaaf8 \ + --hash=sha256:a4bca1151b8cd207eef6d5cb3c720c562b2aa7293cf113a68874e235cfa19c31 \ + --hash=sha256:a85c0cdf16559c9cfa3e2145c16bfe5e1c3115d0cb3b143d41fb68412888171f \ + --hash=sha256:aaa7aebf4fe0d33a3f9f8945061f5374557c9f7baa3c636bfe25ac352167be9c \ + --hash=sha256:b11f38b74bab75282db66226197024a731250dcbe25542fd4e85ac5313547332 \ + --hash=sha256:b4ac86f8d4ddd112bd63aa9f3c7b73c62d16b33fca414f809e8465bbed2580a3 \ + --hash=sha256:b7e41687c74e8fbe6a665458bbaea0c5a75342a95e2583738364a73bcbf1671b \ + --hash=sha256:b8b86815a30e026c6677b89a5a21ba5fd7b69accf8f0e9b83bac123e4e9f3b31 \ + --hash=sha256:be2ade1516fdc7b7fb3d73e6f8d8bf2ce5b4e2e0933a5465a86d40dfa1423488 \ + --hash=sha256:be593e78cf4a7cbdbe361823fb35e1e0963d1a490cf90c8b6c680a30114b1a10 \ + --hash=sha256:be64c5583884c407fc748dedbcb083475d5b138afb23c6bc0836cbad228402cc \ + --hash=sha256:c3ea5da20f4023cf40207ce15f5f4028377ffffdba3adfb60b4c8f34925fce79 \ + --hash=sha256:c9d83bf2c274aed601e8b5320789e54661c240a831533e73a290da27d1c046f1 \ + --hash=sha256:c9db12e764ec1a4648d67b1501f7001e30f92e05a1692a75920ab53670c4958b \ + --hash=sha256:d1e73172fed40c1d0e4f79fd15d357ead2161371b2ecdc82d626f143c29c8175 \ + --hash=sha256:d693d1f63ae6a794074ec1f475e3e3f607c52242f3799479fc483207b5c02ff0 \ + --hash=sha256:d8bde667d0ce46065fe57f8ff24b2e94f620a5747378c97314dcfc8fbab35b73 \ + --hash=sha256:dbb28455bb5d82ca3024f9eb7d65c8ff6707394b584519def497b5eb9e5b1222 \ + --hash=sha256:e02e0e9ef2e45475cf33816c8fb2e24595650bcf259e7b15b515a7b49cae1ccf \ + --hash=sha256:e16113d80bc270c465590ba297d4be8f26906ca8ae8419dc86520982c4099036 \ + --hash=sha256:e310f6313ccba476dc1f393fd40738ca3b7fa3bb41c31c38f9641b1927306ba2 \ + --hash=sha256:e657db5a8c9498dee394db1e12085eda4b9cf7b682466364aae52765b930a884 \ + --hash=sha256:e9ba526e07ccaf4f1c2cd3395dda221139f01468b6eee1190d4a616f187a0378 \ + --hash=sha256:ea87c25e933991366049a42c88e91ad20c2b72e11c7bd38ef68f80486ab63cb2 \ + --hash=sha256:ec4d1aa08569b7eb075942caeacabefee469a0e283c96c7aac0226d5e7598fe8 \ + --hash=sha256:ecf830cdcd1d4d28463c8e0c48f7f5fb06f3c952fff875da279385554d1d4d65 \ + --hash=sha256:ed35391ad697d6cda43c94087f59310f028c3e9fb229e435281a92509469c627 \ + --hash=sha256:fac2635f68b3b6752c2a576833d9d18f0af50bdd4bd7dd2d2ca753e3b8add84c \ + --hash=sha256:fad0666d34122b5ad6de2715c0597b23eab523cc57caf38294138249805da15f \ + --hash=sha256:fb8f6a18f1b5e37724111abbd3edf25f8f00e43dc261b11b10686e17688d2405 \ + --hash=sha256:fccc2023a89dfbce2e1b1409b967011e45d41808df81b7fa0259397db79ba647 \ + --hash=sha256:fe705e7656bc6982a463a4ed7f9b1db8c78c08323f1d45d0d1d77063efa0ce96 \ + --hash=sha256:fecf1b735591fb21ea124a374c207104a491ad0d772709845a10d5faa07fa833 \ + --hash=sha256:ffe87eb7f1956357c2144a56814b5ffc927cbb8932f143a0351c78b93129ebbc + # via locust +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-apitools==0.5.32 \ + --hash=sha256:b78f74116558e0476e19501b5b4b2ac7c93261a69c5449c861ea95cbc853c688 \ + --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcsfs + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-auth-oauthlib + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage + # gsutil + # tensorboard +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client +google-auth-oauthlib==1.0.0 \ + --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ + --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs + # tensorboard +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcsfs + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-pasta==0.2.0 \ + --hash=sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954 \ + --hash=sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed \ + --hash=sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +google-reauth==0.1.1 \ + --hash=sha256:cb39074488d74c8853074dde47368bbf8f739d4a4338b89aab696c895b6d8368 \ + --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +greenlet==3.0.1 ; python_full_version < '3.11' and platform_python_implementation == 'CPython' \ + --hash=sha256:0a02d259510b3630f330c86557331a3b0e0c79dac3d166e449a39363beaae174 \ + --hash=sha256:0b6f9f8ca7093fd4433472fd99b5650f8a26dcd8ba410e14094c1e44cd3ceddd \ + --hash=sha256:100f78a29707ca1525ea47388cec8a049405147719f47ebf3895e7509c6446aa \ + --hash=sha256:1757936efea16e3f03db20efd0cd50a1c86b06734f9f7338a90c4ba85ec2ad5a \ + --hash=sha256:19075157a10055759066854a973b3d1325d964d498a805bb68a1f9af4aaef8ec \ + --hash=sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565 \ + --hash=sha256:20107edf7c2c3644c67c12205dc60b1bb11d26b2610b276f97d666110d1b511d \ + --hash=sha256:22f79120a24aeeae2b4471c711dcf4f8c736a2bb2fabad2a67ac9a55ea72523c \ + --hash=sha256:2847e5d7beedb8d614186962c3d774d40d3374d580d2cbdab7f184580a39d234 \ + --hash=sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d \ + --hash=sha256:329c5a2e5a0ee942f2992c5e3ff40be03e75f745f48847f118a3cfece7a28546 \ + --hash=sha256:337322096d92808f76ad26061a8f5fccb22b0809bea39212cd6c406f6a7060d2 \ + --hash=sha256:3fcc780ae8edbb1d050d920ab44790201f027d59fdbd21362340a85c79066a74 \ + --hash=sha256:41bdeeb552d814bcd7fb52172b304898a35818107cc8778b5101423c9017b3de \ + --hash=sha256:4eddd98afc726f8aee1948858aed9e6feeb1758889dfd869072d4465973f6bfd \ + --hash=sha256:52e93b28db27ae7d208748f45d2db8a7b6a380e0d703f099c949d0f0d80b70e9 \ + --hash=sha256:55d62807f1c5a1682075c62436702aaba941daa316e9161e4b6ccebbbf38bda3 \ + --hash=sha256:5805e71e5b570d490938d55552f5a9e10f477c19400c38bf1d5190d760691846 \ + --hash=sha256:599daf06ea59bfedbec564b1692b0166a0045f32b6f0933b0dd4df59a854caf2 \ + --hash=sha256:60d5772e8195f4e9ebf74046a9121bbb90090f6550f81d8956a05387ba139353 \ + --hash=sha256:696d8e7d82398e810f2b3622b24e87906763b6ebfd90e361e88eb85b0e554dc8 \ + --hash=sha256:6e6061bf1e9565c29002e3c601cf68569c450be7fc3f7336671af7ddb4657166 \ + --hash=sha256:80ac992f25d10aaebe1ee15df45ca0d7571d0f70b645c08ec68733fb7a020206 \ + --hash=sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b \ + --hash=sha256:85d2b77e7c9382f004b41d9c72c85537fac834fb141b0296942d52bf03fe4a3d \ + --hash=sha256:87c8ceb0cf8a5a51b8008b643844b7f4a8264a2c13fcbcd8a8316161725383fe \ + --hash=sha256:89ee2e967bd7ff85d84a2de09df10e021c9b38c7d91dead95b406ed6350c6997 \ + --hash=sha256:8bef097455dea90ffe855286926ae02d8faa335ed8e4067326257cb571fc1445 \ + --hash=sha256:8d11ebbd679e927593978aa44c10fc2092bc454b7d13fdc958d3e9d508aba7d0 \ + --hash=sha256:91e6c7db42638dc45cf2e13c73be16bf83179f7859b07cfc139518941320be96 \ + --hash=sha256:97e7ac860d64e2dcba5c5944cfc8fa9ea185cd84061c623536154d5a89237884 \ + --hash=sha256:990066bff27c4fcf3b69382b86f4c99b3652bab2a7e685d968cd4d0cfc6f67c6 \ + --hash=sha256:9fbc5b8f3dfe24784cee8ce0be3da2d8a79e46a276593db6868382d9c50d97b1 \ + --hash=sha256:ac4a39d1abae48184d420aa8e5e63efd1b75c8444dd95daa3e03f6c6310e9619 \ + --hash=sha256:b2c02d2ad98116e914d4f3155ffc905fd0c025d901ead3f6ed07385e19122c94 \ + --hash=sha256:b2d3337dcfaa99698aa2377c81c9ca72fcd89c07e7eb62ece3f23a3fe89b2ce4 \ + --hash=sha256:b489c36d1327868d207002391f662a1d163bdc8daf10ab2e5f6e41b9b96de3b1 \ + --hash=sha256:b641161c302efbb860ae6b081f406839a8b7d5573f20a455539823802c655f63 \ + --hash=sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd \ + --hash=sha256:b9934adbd0f6e476f0ecff3c94626529f344f57b38c9a541f87098710b18af0a \ + --hash=sha256:ce85c43ae54845272f6f9cd8320d034d7a946e9773c693b27d620edec825e376 \ + --hash=sha256:cf868e08690cb89360eebc73ba4be7fb461cfbc6168dd88e2fbbe6f31812cd57 \ + --hash=sha256:d2905ce1df400360463c772b55d8e2518d0e488a87cdea13dd2c71dcb2a1fa16 \ + --hash=sha256:d57e20ba591727da0c230ab2c3f200ac9d6d333860d85348816e1dca4cc4792e \ + --hash=sha256:d6a8c9d4f8692917a3dc7eb25a6fb337bff86909febe2f793ec1928cd97bedfc \ + --hash=sha256:d923ff276f1c1f9680d32832f8d6c040fe9306cbfb5d161b0911e9634be9ef0a \ + --hash=sha256:daa7197b43c707462f06d2c693ffdbb5991cbb8b80b5b984007de431493a319c \ + --hash=sha256:dbd4c177afb8a8d9ba348d925b0b67246147af806f0b104af4d24f144d461cd5 \ + --hash=sha256:dc4d815b794fd8868c4d67602692c21bf5293a75e4b607bb92a11e821e2b859a \ + --hash=sha256:e9d21aaa84557d64209af04ff48e0ad5e28c5cca67ce43444e939579d085da72 \ + --hash=sha256:ea6b8aa9e08eea388c5f7a276fabb1d4b6b9d6e4ceb12cc477c3d352001768a9 \ + --hash=sha256:eabe7090db68c981fca689299c2d116400b553f4b713266b130cfc9e2aa9c5a9 \ + --hash=sha256:f2f6d303f3dee132b322a14cd8765287b8f86cdc10d2cb6a6fae234ea488888e \ + --hash=sha256:f33f3258aae89da191c6ebaa3bc517c6c4cbc9b9f689e5d8452f7aedbb913fa8 \ + --hash=sha256:f7bfb769f7efa0eefcd039dd19d843a4fbfbac52f1878b1da2ed5793ec9b1a65 \ + --hash=sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064 \ + --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gevent +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.75.0 \ + --hash=sha256:050760fd29c8508844a720f06c5827bb00de8f5e02f58587eb21a4444ad706e5 \ + --hash=sha256:06d22e1d8645e37bc110f4c589cb22c283fd3de76523065f821d6e81de33f5d4 \ + --hash=sha256:0aa795198b28807d28570c0a5f07bb04d5facca7d3f27affa6ae247bbd7f312a \ + --hash=sha256:0b85f4ebe6b56d2a512201bb0e5f192c273850d349b0a74ac889ab5d38959d16 \ + --hash=sha256:0c40f368541945bb664857ecd7400acb901053a1abbcf9f7896361b2cfa66798 \ + --hash=sha256:0c91d5b16eff3cbbe76b7a1eaaf3d91e7a954501e9d4f915554f87c470475c3d \ + --hash=sha256:0fcb77f2d718c1e58cc04ef6d3b51e0fa3b26cf926446e86c7eba105727b6cd4 \ + --hash=sha256:153c5a7655022c3626ad70be3d4c2974cb0967f3670ee49ece8b45b7a139665f \ + --hash=sha256:1bb78d052948d8272c820bb928753f16a614bb2c42fbf56ad56636991b427518 \ + --hash=sha256:1ec2937fd92b5b4598cbe65f7e57d66039f82b9e2b7f7a5f9149374057dde77d \ + --hash=sha256:1ec9cbaec18d9597c718b1ed452e61748ac0b36ba350d558f9ded1a94cc15ec7 \ + --hash=sha256:222b0851e20c04900c63f60153503e918b08a5a0fad8198401c0b1be13c6815b \ + --hash=sha256:266fa6209b68a537b2728bb2552f970e7e78c77fe43c6e9cbbe1f476e9e5c35f \ + --hash=sha256:2e8e752ab5cc0a9c5b949808c000ca7586223be4f877b729f034b912364c3964 \ + --hash=sha256:352dbdf25495eef584c8de809db280582093bc3961d95a9d78f0dfb7274023a2 \ + --hash=sha256:36764a4ad9dc1eb891042fab51e8cdf7cc014ad82cee807c10796fb708455041 \ + --hash=sha256:38d665f44b980acdbb2f0e1abf67605ba1899f4d2443908df9ec8a6f26d2ed88 \ + --hash=sha256:3a6788b30aa8e6f207c417874effe3f79c2aa154e91e78e477c4825e8b431ce0 \ + --hash=sha256:437eeb16091d31498585d73b133b825dc80a8db43311e332c08facf820d36894 \ + --hash=sha256:494dcbade5606128cb9f530ce00331a90ecf5e7c5b243d373aebdb18e503c346 \ + --hash=sha256:50a6e43a9adc6938e2a16c9d9f8a2da9dd557ddd9284b73b07bd03d0e098d1e9 \ + --hash=sha256:53067c590ac3638ad0c04272f2a5e7e32a99fec8824c31b73bc3ef93160511fa \ + --hash=sha256:55a2d5ae79cd0f68783fb6ec95509be23746e3c239290b2ee69c69a38daa961a \ + --hash=sha256:55dfb9122973cc69520b23d39867726722cafb32e541435707dc10249a1bdbc6 \ + --hash=sha256:585147859ff4603798e92605db28f4a97c821c69908e7754c44771c27b239bbd \ + --hash=sha256:597340a41ad4b619aaa5c9b94f7e6ba4067885386342ab0af039eda945c255cd \ + --hash=sha256:678b649171f229fb16bda1a2473e820330aa3002500c4f9fd3a74b786578e90f \ + --hash=sha256:68c95b1c1e3bf96ceadf98226e9dfe2bc92155ce352fa0ee32a1603040e61856 \ + --hash=sha256:6b365f37a9c9543a9e91c6b4103d68d38d5bcb9965b11d5092b3c157bd6a5ee7 \ + --hash=sha256:725e67c010f63ef17fc052b261004942763c0b18dcd84841e6578ddacf1f9d10 \ + --hash=sha256:78dcc025a144319b66df6d088bd0eda69e1719eb6ac6127884a36188f336df19 \ + --hash=sha256:7a9337ac4ce61c388e02019d27fa837496c4b7837cbbcec71b05934337e51531 \ + --hash=sha256:7ee5ee42bfae8238b66a275f9ebcf6f295724375f2fa6f3b52188008b6380faf \ + --hash=sha256:7f89d6d0cd43170a80ebb4605cad54c7d462d21dc054f47688912e8bf08164af \ + --hash=sha256:851194eec47755101962da423f575ea223c9dd7f487828fe5693920e8745227e \ + --hash=sha256:9146e40378f551eed66c887332afc807fcce593c43c698e21266a4227d4e20d2 \ + --hash=sha256:91fbfc43f605c5ee015c9056d580a70dd35df78a7bad97e05426795ceacdb59f \ + --hash=sha256:9880c323595d851292785966cadb6c708100b34b163cab114e3933f5773cba2d \ + --hash=sha256:9dc4a02796394dd04de0b9673cb79a78901b90bb16bf99ed8cb528c61ed9372e \ + --hash=sha256:b989e8b09489478c2d19fecc744a298930f40d8b27c3638afbfe84d22f36ce4e \ + --hash=sha256:bb58e38a50baed9b21492c4b3f3263462e4e37270b7ea152fc10124b4bd1c318 \ + --hash=sha256:c2c39984e846bd5da45c5f7bcea8fafbe47c98e1ff2b6f40e57921b0c23a52d0 \ + --hash=sha256:c8cfc780b7a15e06253aae5f228e1e84c0d3c4daa90faf5bc26b751174da4bf9 \ + --hash=sha256:ca123db0813eef80625a4242a0c37563cb30a3edddebe5ee65373854cf187215 \ + --hash=sha256:cb6c5b075c2d092f81138646a755f0dad94e4622300ebef089f94e6308155d82 \ + --hash=sha256:dce15597ca11913b78e1203c042d5723e3ea7f59e7095a1abd0621be0e05b895 \ + --hash=sha256:eafbe3563f9cb378370a3fa87ef4870539cf158124721f3abee9f11cd8162460 \ + --hash=sha256:ee16e232e3d0974750ab5f4da0ab92b59d6473872690b5e40dcec9a22927f22e \ + --hash=sha256:fa35ccd9501ffdd82b861809cbfc4b5b13f4b4c5dc3434d2d9170b9ed38a9054 \ + --hash=sha256:fb64dd62face3d687a7b56cd881e2ea39417af80f75e8b36f0f81dfd93071651 \ + --hash=sha256:ffc33e67cab6141c54e75d85acd5dec616c5095a957ff997b4330a6395aa9b51 + # via + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # tensorboard + # tensorflow +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in +gsutil==5.27 \ + --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +gymnasium==1.1.1 \ + --hash=sha256:8bd9ea9bdef32c950a444ff36afc785e1d81051ec32d30435058953c20d2456d \ + --hash=sha256:9c167ec0a2b388666e37f63b2849cd2552f7f5b71938574c637bb36487eb928a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # httpcore +h5py==3.10.0 \ + --hash=sha256:012ab448590e3c4f5a8dd0f3533255bc57f80629bf7c5054cf4c87b30085063c \ + --hash=sha256:212bb997a91e6a895ce5e2f365ba764debeaef5d2dca5c6fb7098d66607adf99 \ + --hash=sha256:2381e98af081b6df7f6db300cd88f88e740649d77736e4b53db522d8874bf2dc \ + --hash=sha256:2c8e4fda19eb769e9a678592e67eaec3a2f069f7570c82d2da909c077aa94339 \ + --hash=sha256:3074ec45d3dc6e178c6f96834cf8108bf4a60ccb5ab044e16909580352010a97 \ + --hash=sha256:3c97d03f87f215e7759a354460fb4b0d0f27001450b18b23e556e7856a0b21c3 \ + --hash=sha256:43a61b2c2ad65b1fabc28802d133eed34debcc2c8b420cb213d3d4ef4d3e2229 \ + --hash=sha256:492305a074327e8d2513011fa9fffeb54ecb28a04ca4c4227d7e1e9616d35641 \ + --hash=sha256:5dfc65ac21fa2f630323c92453cadbe8d4f504726ec42f6a56cf80c2f90d6c52 \ + --hash=sha256:667fe23ab33d5a8a6b77970b229e14ae3bb84e4ea3382cc08567a02e1499eedd \ + --hash=sha256:6c013d2e79c00f28ffd0cc24e68665ea03ae9069e167087b2adb5727d2736a52 \ + --hash=sha256:781a24263c1270a62cd67be59f293e62b76acfcc207afa6384961762bb88ea03 \ + --hash=sha256:86df4c2de68257b8539a18646ceccdcf2c1ce6b1768ada16c8dcfb489eafae20 \ + --hash=sha256:90286b79abd085e4e65e07c1bd7ee65a0f15818ea107f44b175d2dfe1a4674b7 \ + --hash=sha256:92273ce69ae4983dadb898fd4d3bea5eb90820df953b401282ee69ad648df684 \ + --hash=sha256:93dd840bd675787fc0b016f7a05fc6efe37312a08849d9dd4053fd0377b1357f \ + --hash=sha256:9450464b458cca2c86252b624279115dcaa7260a40d3cb1594bf2b410a2bd1a3 \ + --hash=sha256:ae2f0201c950059676455daf92700eeb57dcf5caaf71b9e1328e6e6593601770 \ + --hash=sha256:aece0e2e1ed2aab076c41802e50a0c3e5ef8816d60ece39107d68717d4559824 \ + --hash=sha256:b963fb772964fc1d1563c57e4e2e874022ce11f75ddc6df1a626f42bd49ab99f \ + --hash=sha256:ba9ab36be991119a3ff32d0c7cbe5faf9b8d2375b5278b2aea64effbeba66039 \ + --hash=sha256:d4682b94fd36ab217352be438abd44c8f357c5449b8995e63886b431d260f3d3 \ + --hash=sha256:d93adc48ceeb33347eb24a634fb787efc7ae4644e6ea4ba733d099605045c049 \ + --hash=sha256:f42e6c30698b520f0295d70157c4e202a9e402406f50dc08f5a7bc416b24e52d \ + --hash=sha256:fd6f6d1384a9f491732cee233b99cd4bfd6e838a8815cc86722f9d2ee64032af + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +httpcore==1.0.9 \ + --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ + --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # httpx +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-api-python-client + # google-apitools + # google-auth-httplib2 + # gsutil + # oauth2client +httpx==0.27.2 \ + --hash=sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0 \ + --hash=sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyio + # httpx + # jsonschema + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # ale-py + # flask + # gymnasium + # jupyter-ydoc + # jupyterlab-server + # markdown +iniconfig==2.0.0 \ + --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ + --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +itsdangerous==2.1.2 \ + --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ + --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # jupyter-server + # jupyterlab + # jupyterlab-server + # memray + # nbclassic + # nbconvert + # notebook +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 + # botocore +joblib==1.2.0 \ + --hash=sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 \ + --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # scikit-learn +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab-server +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +keras==2.15.0 \ + --hash=sha256:2dcc6d2e30cf9c951064b63c1f4c404b966c59caf09e01f3549138ec8ee0dd1f \ + --hash=sha256:81871d298c064dc4ac6b58440fdae67bfcf47c8d7ad28580fab401834c06a575 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +libclang==18.1.1 \ + --hash=sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a \ + --hash=sha256:3f0e1f49f04d3cd198985fea0511576b0aee16f9ff0e0f0cad7f9c57ec3c20e8 \ + --hash=sha256:4dd2d3b82fab35e2bf9ca717d7b63ac990a3519c7e312f19fa8e86dcc712f7fb \ + --hash=sha256:54dda940a4a0491a9d1532bf071ea3ef26e6dbaf03b5000ed94dd7174e8f9592 \ + --hash=sha256:69f8eb8f65c279e765ffd28aaa7e9e364c776c17618af8bff22a8df58677ff4f \ + --hash=sha256:6f14c3f194704e5d09769108f03185fce7acaf1d1ae4bbb2f30a72c2400cb7c5 \ + --hash=sha256:83ce5045d101b669ac38e6da8e58765f12da2d3aafb3b9b98d88b286a60964d8 \ + --hash=sha256:a1214966d08d73d971287fc3ead8dfaf82eb07fb197680d8b3859dbbbbf78250 \ + --hash=sha256:c533091d8a3bbf7460a00cb6c1a71da93bffe148f172c7d03b1c31fbf8aa2a0b \ + --hash=sha256:cf4a99b05376513717ab5d82a0db832c56ccea4fd61a69dbb7bccf2dfb207dbe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +lightgbm==4.6.0 \ + --hash=sha256:2dafd98d4e02b844ceb0b61450a660681076b1ea6c7adb8c566dfd66832aafad \ + --hash=sha256:37089ee95664b6550a7189d887dbf098e3eadab03537e411f52c63c121e3ba4b \ + --hash=sha256:4d68712bbd2b57a0b14390cbf9376c1d5ed773fa2e71e099cac588703b590336 \ + --hash=sha256:b7a393de8a334d5c8e490df91270f0763f83f959574d504c7ccb9eee4aef70ed \ + --hash=sha256:cb19b5afea55b5b61cbb2131095f50538bd608a00655f23ad5d25ae3e3bf1c8d \ + --hash=sha256:cb1c59720eb569389c0ba74d14f52351b573af489f230032a1c9f314f8bab7fe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +locust==2.18.0 \ + --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ + --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae + # via -r release/ray_release/byod/requirements_byod_3.9.in +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +markdown==3.5.1 \ + --hash=sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc \ + --hash=sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorboard +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jinja2 + # nbconvert + # werkzeug +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipython +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +ml-dtypes==0.3.2 \ + --hash=sha256:2c34f2ba9660b21fe1034b608308a01be82bbef2a92fb8199f24dc6bad0d5226 \ + --hash=sha256:3a17ef2322e60858d93584e9c52a5be7dd6236b056b7fa1ec57f1bb6ba043e33 \ + --hash=sha256:533059bc5f1764fac071ef54598db358c167c51a718f68f5bb55e3dee79d2967 \ + --hash=sha256:6604877d567a29bfe7cc02969ae0f2425260e5335505cf5e7fefc3e5465f5655 \ + --hash=sha256:6b35c4e8ca957c877ac35c79ffa77724ecc3702a1e4b18b08306c03feae597bb \ + --hash=sha256:763697ab8a88d47443997a7cdf3aac7340049aed45f7521f6b0ec8a0594821fe \ + --hash=sha256:7a4c3fcbf86fa52d0204f07cfd23947ef05b4ad743a1a988e163caa34a201e5e \ + --hash=sha256:7afde548890a92b41c0fed3a6c525f1200a5727205f73dc21181a2726571bb53 \ + --hash=sha256:7ba8e1fafc7fff3e643f453bffa7d082df1678a73286ce8187d3e825e776eb94 \ + --hash=sha256:91f8783fd1f2c23fd3b9ee5ad66b785dafa58ba3cdb050c4458021fa4d1eb226 \ + --hash=sha256:93b78f53431c93953f7850bb1b925a17f0ab5d97527e38a7e865b5b4bc5cfc18 \ + --hash=sha256:961134ea44c7b8ca63eda902a44b58cd8bd670e21d62e255c81fba0a8e70d9b7 \ + --hash=sha256:b89b194e9501a92d289c1ffd411380baf5daafb9818109a4f49b0a1b6dce4462 \ + --hash=sha256:c7b3fb3d4f6b39bcd4f6c4b98f406291f0d681a895490ee29a0f95bab850d53c \ + --hash=sha256:d1a746fe5fb9cd974a91070174258f0be129c592b93f9ce7df6cc336416c3fbd \ + --hash=sha256:e8505946df1665db01332d885c2020b4cb9e84a8b1241eb4ba69d59591f65855 \ + --hash=sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +monotonic==1.6 \ + --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ + --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-identity +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # locust +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic +numcodecs==0.12.1 \ + --hash=sha256:05d91a433733e7eef268d7e80ec226a0232da244289614a8f3826901aec1098e \ + --hash=sha256:0e79bf9d1d37199ac00a60ff3adb64757523291d19d03116832e600cac391c51 \ + --hash=sha256:135b2d47563f7b9dc5ee6ce3d1b81b0f1397f69309e909f1a35bb0f7c553d45e \ + --hash=sha256:21d8267bd4313f4d16f5b6287731d4c8ebdab236038f29ad1b0e93c9b2ca64ee \ + --hash=sha256:29dfb195f835a55c4d490fb097aac8c1bcb96c54cf1b037d9218492c95e9d8c5 \ + --hash=sha256:2f1ba2f4af3fd3ba65b1bcffb717fe65efe101a50a91c368f79f3101dbb1e243 \ + --hash=sha256:2f84df6b8693206365a5b37c005bfa9d1be486122bde683a7b6446af4b75d862 \ + --hash=sha256:2fbb12a6a1abe95926f25c65e283762d63a9bf9e43c0de2c6a1a798347dfcb40 \ + --hash=sha256:760627780a8b6afdb7f942f2a0ddaf4e31d3d7eea1d8498cf0fd3204a33c4618 \ + --hash=sha256:82d7107f80f9307235cb7e74719292d101c7ea1e393fe628817f0d635b7384f5 \ + --hash=sha256:941b7446b68cf79f089bcfe92edaa3b154533dcbcd82474f994b28f2eedb1c60 \ + --hash=sha256:a191a8e347ecd016e5c357f2bf41fbcb026f6ffe78fff50c77ab12e96701d155 \ + --hash=sha256:abff3554a6892a89aacf7b642a044e4535499edf07aeae2f2e6e8fc08c9ba07f \ + --hash=sha256:c17687b1fd1fef68af616bc83f896035d24e40e04e91e7e6dae56379eb59fe33 \ + --hash=sha256:c258bd1d3dfa75a9b708540d23b2da43d63607f9df76dfa0309a7597d1de3b73 \ + --hash=sha256:caf1a1e6678aab9c1e29d2109b299f7a467bd4d4c34235b1f0e082167846b88f \ + --hash=sha256:d37f628fe92b3699e65831d5733feca74d2e33b50ef29118ffd41c13c677210e \ + --hash=sha256:e04649ea504aff858dbe294631f098fbfd671baf58bfc04fc48d746554c05d67 \ + --hash=sha256:eeaf42768910f1c6eebf6c1bb00160728e62c9343df9e2e315dc9fe12e3f6071 \ + --hash=sha256:ef964d4860d3e6b38df0633caf3e51dc850a6293fd8e93240473642681d95136 \ + --hash=sha256:f2207871868b2464dc11c513965fd99b958a9d7cde2629be7b2dc84fdaab013b + # via zarr +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ale-py + # gymnasium + # h5py + # lightgbm + # ml-dtypes + # numcodecs + # opt-einsum + # pandas + # petastorm + # scikit-learn + # scipy + # tensorboard + # tensorboardx + # tensorflow + # xarray + # xgboost + # zarr +nvidia-nccl-cu12==2.20.5 ; platform_machine != 'aarch64' and sys_platform == 'linux' \ + --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \ + --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # xgboost +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcs-oauth2-boto-plugin + # google-apitools +oauthlib==3.2.2 \ + --hash=sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca \ + --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # requests-oauthlib +openskill==6.0.0 \ + --hash=sha256:eee2d0b3c1648663a480cf4680654dfd12bdc749a96d611b1904e191f2632f62 \ + --hash=sha256:f89b18930c2befd580407e7cf80a480bc69c3b25d2841346be6d875c8c4bc92e + # via -r release/ray_release/byod/requirements_byod_3.9.in +opt-einsum==3.3.0 \ + --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ + --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # nbconvert + # petastorm + # pytest + # tensorboardx + # tensorflow + # xarray +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm + # xarray +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +petastorm==0.12.1 \ + --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 + # via -r release/ray_release/byod/requirements_byod_3.9.in +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-core +pluggy==1.3.0 \ + --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ + --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # msal-extensions +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus + # tensorboard + # tensorboardx + # tensorflow +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # ipykernel + # locust + # petastorm +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +py4j==0.10.9.7 \ + --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ + --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pyspark +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # petastorm +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth + # oauth2client +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # fastapi +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # msal +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # gcs-oauth2-boto-plugin + # google-oauth + # gsutil +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # httplib2 +pyspark==3.4.1 \ + --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +pytest==7.4.4 \ + --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ + --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client + # pandas +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-events +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pandas +pyu2f==0.1.5 \ + --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-reauth +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale + # jupyter-events +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # locust + # nbclassic + # notebook + # petastorm +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale + # azure-core + # azure-datalake-store + # gcsfs + # google-api-core + # google-auth + # google-cloud-storage + # google-oauth + # jupyterlab-server + # locust + # msal + # requests-oauthlib + # smart-open + # tensorboard +requests-oauthlib==2.0.0 \ + --hash=sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36 \ + --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth-oauthlib +retry-decorator==1.1.1 \ + --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # memray + # typer +roundrobin==0.0.4 \ + --hash=sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd + # via locust +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-auth + # oauth2client +s3fs==2023.12.1 \ + --hash=sha256:63e429bb6b5e814568cacd3f2a8551fc35493e8c418ddfcb44e6f86aa8696ccd \ + --hash=sha256:ed0b7df8cc20a2b5cefe607b1cf4e860d37c5ca4ac2d68f55464805d75d18710 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 +scikit-learn==1.3.2 \ + --hash=sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107 \ + --hash=sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161 \ + --hash=sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c \ + --hash=sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d \ + --hash=sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157 \ + --hash=sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a \ + --hash=sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb \ + --hash=sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c \ + --hash=sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a \ + --hash=sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c \ + --hash=sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5 \ + --hash=sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0 \ + --hash=sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b \ + --hash=sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03 \ + --hash=sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66 \ + --hash=sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9 \ + --hash=sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf \ + --hash=sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028 \ + --hash=sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93 \ + --hash=sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05 \ + --hash=sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073 \ + --hash=sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525 \ + --hash=sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e \ + --hash=sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1 \ + --hash=sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0 \ + --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # lightgbm + # scikit-learn + # xgboost +semidbm==0.5.1 \ + --hash=sha256:0dd74b5e9276eb5af186ace8b74165acec0c887e746bdae60340be91b99cffaf \ + --hash=sha256:add3e644dd6afcce83d1752b34ff80fa4e2b37b4ce6bce3289ad19d6f0bcd6ae + # via -r release/ray_release/byod/requirements_byod_3.9.in +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +shellingham==1.5.4 \ + --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ + --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # typer +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # astunparse + # azure-core + # bleach + # gcs-oauth2-boto-plugin + # google-apitools + # google-oauth + # google-pasta + # gsutil + # isodate + # oauth2client + # petastorm + # python-dateutil + # pyu2f + # rfc3339-validator + # tensorboard + # tensorflow + # trueskill +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyio + # httpx +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fastapi +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +tblib==3.0.0 \ + --hash=sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129 \ + --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +tensorboard==2.15.2 \ + --hash=sha256:a6f6443728064d962caea6d34653e220e34ef8df764cb06a8212c17e1a8f0622 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +tensorboard-data-server==0.7.2 \ + --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ + --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \ + --hash=sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorboard +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +tensorflow==2.15.1 \ + --hash=sha256:10132acc072d59696c71ce7221d2d8e0e3ff1e6bc8688dbac6d7aed8e675b710 \ + --hash=sha256:30c5ef9c758ec9ff7ce2aff76b71c980bc5119b879071c2cc623b1591a497a1a \ + --hash=sha256:432788ac5d1234b9e9b7c7f73603a5655271a28c293329c52c7c0b9434a1184e \ + --hash=sha256:6761efe511e6ee0f893f60738fefbcc51d6dc386eeaaafea59d21899ef369ffd \ + --hash=sha256:89b5aa1022dec47e567512eaf4e1271b8e6c1ff1984e30d0d9127bd1093ed4c5 \ + --hash=sha256:8e5431d45ceb416c2b1b6de87378054fbac7d2ed35d45b102d89a786613fffdc \ + --hash=sha256:91b51a507007d63a70b65be307d701088d15042a6399c0e2312b53072226e909 \ + --hash=sha256:a49f8755c74a89553294a99ab25aa87ab1cddbfa40fe58387e09f64f0578cedc \ + --hash=sha256:aa926114d1e13ffe5b2ea59c3f195216f26646d7fe36e9e5207b291e4b7902ff \ + --hash=sha256:aaf3cfa290597ebbdf19d1a78729e3f555e459506cd58f8d7399359ac5e02a05 \ + --hash=sha256:b75815b6a601edad52b4181e9805c8fcd04813a6ab1d5cd8127188dfd2788e20 \ + --hash=sha256:bb0edd69103c154245c5f209f0507355cc68ba7e4de350084bc31edc562478e4 \ + --hash=sha256:e73d43dbc68d8c711e70edecc4ac70472799a25ec4ec18a84d479ee18033d3c5 \ + --hash=sha256:ea290e435464cf0794f657b48786e5fa413362abe55ed771c172c25980d070ce \ + --hash=sha256:f8e85821317c9c0fbf1256e9f721cfb1400ba1e09becb844b3ddd91f744805fc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +tensorflow-estimator==2.15.0 \ + --hash=sha256:aedf21eec7fb2dc91150fc91a1ce12bc44dbb72278a08b58e79ff87c9e28f153 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +tensorflow-io-gcs-filesystem==0.31.0 \ + --hash=sha256:20e3ee5df01f2bd81d37fc715816c329b7533ccca967c47946eb458a5b7a7280 \ + --hash=sha256:359134ecbd3bf938bb0cf65be4526106c30da461b2e2ce05446a229ed35f6832 \ + --hash=sha256:37c40e3c4ee1f8dda3b545deea6b8839192c82037d8021db9f589908034ad975 \ + --hash=sha256:4bb37d23f21c434687b11059cb7ffd094d52a7813368915ba1b7057e3c16e414 \ + --hash=sha256:68b89ef9f63f297de1cd9d545bc45dddc7d8fe12bcda4266279b244e8cf3b7c0 \ + --hash=sha256:8909c4344b0e96aa356230ab460ffafe5900c33c1aaced65fafae71d177a1966 \ + --hash=sha256:961353b38c76471fa296bb7d883322c66b91415e7d47087236a6706db3ab2758 \ + --hash=sha256:97ebb9a8001a38f615aa1f90d2e998b7bd6eddae7aafc92897833610b039401b \ + --hash=sha256:a71421f8d75a093b6aac65b4c8c8d2f768c3ca6215307cf8c16192e62d992bcf \ + --hash=sha256:a7e8d4bd0a25de7637e562997c011294d7ea595a76f315427a5dd522d56e9d49 \ + --hash=sha256:b4ebb30ad7ce5f3769e3d959ea99bd95d80a44099bcf94da6042f9755ac6e850 \ + --hash=sha256:b658b33567552f155af2ed848130f787bfda29381fa78cd905d5ee8254364f3c \ + --hash=sha256:bd628609b77aee0e385eadf1628222486f19b8f1d81b5f0a344f2470204df116 \ + --hash=sha256:cb7459c15608fe42973a78e4d3ad7ac79cfc7adae1ccb1b1846db3165fbc081a \ + --hash=sha256:e3933059b1c53e062075de2e355ec136b655da5883c3c26736c45dfeb1901945 \ + --hash=sha256:e417faf8755aafe52d8f8c6b5ae5bae6e4fae8326ee3acd5e9181b83bbfbae87 \ + --hash=sha256:e6d8cc7b14ade870168b9704ee44f9c55b468b9a00ed40e12d20fffd321193b5 \ + --hash=sha256:f0adfbcd264262797d429311843733da2d5c1ffb119fbfa6339269b6c0414113 \ + --hash=sha256:fbcfb4aa2eaa9a3038d2487e570ff93feb1dbe51c3a4663d7d9ab9f9a9f9a9d8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # tensorflow +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # tensorflow +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +threadpoolctl==3.1.0 \ + --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \ + --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # scikit-learn +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +tomli==2.0.1 ; python_full_version < '3.11' \ + --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ + --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab + # pytest +tornado==6.1 \ + --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ + --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ + --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ + --hash=sha256:20241b3cb4f425e971cb0a8e4ffc9b0a861530ae3c52f2b0434e6c1b57e9fd95 \ + --hash=sha256:25ad220258349a12ae87ede08a7b04aca51237721f63b1808d39bdb4b2164558 \ + --hash=sha256:33892118b165401f291070100d6d09359ca74addda679b60390b09f8ef325ffe \ + --hash=sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791 \ + --hash=sha256:3447475585bae2e77ecb832fc0300c3695516a47d46cefa0528181a34c5b9d3d \ + --hash=sha256:34ca2dac9e4d7afb0bed4677512e36a52f09caa6fded70b4e3e1c89dbd92c326 \ + --hash=sha256:3e63498f680547ed24d2c71e6497f24bca791aca2fe116dbc2bd0ac7f191691b \ + --hash=sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4 \ + --hash=sha256:6196a5c39286cc37c024cd78834fb9345e464525d8991c21e908cc046d1cc02c \ + --hash=sha256:61b32d06ae8a036a6607805e6720ef00a3c98207038444ba7fd3d169cd998910 \ + --hash=sha256:6286efab1ed6e74b7028327365cf7346b1d777d63ab30e21a0f4d5b275fc17d5 \ + --hash=sha256:65d98939f1a2e74b58839f8c4dab3b6b3c1ce84972ae712be02845e65391ac7c \ + --hash=sha256:66324e4e1beede9ac79e60f88de548da58b1f8ab4b2f1354d8375774f997e6c0 \ + --hash=sha256:6c77c9937962577a6a76917845d06af6ab9197702a42e1346d8ae2e76b5e3675 \ + --hash=sha256:70dec29e8ac485dbf57481baee40781c63e381bebea080991893cd297742b8fd \ + --hash=sha256:7250a3fa399f08ec9cb3f7b1b987955d17e044f1ade821b32e5f435130250d7f \ + --hash=sha256:748290bf9112b581c525e6e6d3820621ff020ed95af6f17fedef416b27ed564c \ + --hash=sha256:7da13da6f985aab7f6f28debab00c67ff9cbacd588e8477034c0652ac141feea \ + --hash=sha256:8f959b26f2634a091bb42241c3ed8d3cedb506e7c27b8dd5c7b9f745318ddbb6 \ + --hash=sha256:9de9e5188a782be6b1ce866e8a51bc76a0fbaa0e16613823fc38e4fc2556ad05 \ + --hash=sha256:a48900ecea1cbb71b8c71c620dee15b62f85f7c14189bdeee54966fbd9a0c5bd \ + --hash=sha256:b87936fd2c317b6ee08a5741ea06b9d11a6074ef4cc42e031bc6403f82a32575 \ + --hash=sha256:c77da1263aa361938476f04c4b6c8916001b90b2c2fdd92d8d535e1af48fba5a \ + --hash=sha256:cb5ec8eead331e3bb4ce8066cf06d2dfef1bfb1b2a73082dfe8a161301b76e37 \ + --hash=sha256:cc0ee35043162abbf717b7df924597ade8e5395e7b66d18270116f8745ceb795 \ + --hash=sha256:d14d30e7f46a0476efb0deb5b61343b1526f73ebb5ed84f23dc794bdb88f9d9f \ + --hash=sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32 \ + --hash=sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c \ + --hash=sha256:d3f7594930c423fd9f5d1a76bee85a2c36fd8b4b16921cae7e965f22575e9c01 \ + --hash=sha256:dcef026f608f678c118779cd6591c8af6e9b4155c44e0d1bc0c87c036fb8c8c4 \ + --hash=sha256:e0791ac58d91ac58f694d8d2957884df8e4e2f6687cdf367ef7eb7497f79eaa2 \ + --hash=sha256:e385b637ac3acaae8022e7e47dfa7b83d3620e432e3ecb9a3f7f58f150e50921 \ + --hash=sha256:e519d64089b0876c7b467274468709dadf11e41d65f63bba207e04217f47c085 \ + --hash=sha256:e7229e60ac41a1202444497ddde70a48d33909e484f96eb0da9baf8dc68541df \ + --hash=sha256:ed3ad863b1b40cd1d4bd21e7498329ccaece75db5a5bf58cd3c9f130843e7102 \ + --hash=sha256:f0ba29bafd8e7e22920567ce0d232c26d4d47c8b5cf4ed7b562b5db39fa199c5 \ + --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ + --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # anyscale +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +trueskill==0.4.5 \ + --hash=sha256:9d62b48d2428369d712bd9becff9f9a2caa325e1a2ab5f9392d34bff757867bb + # via -r release/ray_release/byod/requirements_byod_3.9.in +typer==0.12.3 \ + --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ + --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in + # aioitertools + # ale-py + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # exceptiongroup + # fastapi + # grpcio + # gymnasium + # ipython + # pydantic + # pydantic-core + # pyopenssl + # referencing + # starlette + # tensorflow + # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # botocore + # geventhttpclient + # requests +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +werkzeug==2.3.8 \ + --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ + --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # locust + # tensorboard +wheel==0.45.1 \ + --hash=sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729 \ + --hash=sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # astunparse +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiobotocore + # anyscale + # tensorflow +xarray==2024.3.0 \ + --hash=sha256:5c1db19efdde61db7faedad8fc944f4e29698fb6fbd578d352668b63598bd1d8 \ + --hash=sha256:ca2bc4da2bf2e7879e15862a7a7c3fc76ad19f6a08931d030220cef39a29118d + # via -r release/ray_release/byod/requirements_byod_3.9.in +xgboost==2.1.0 \ + --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ + --hash=sha256:43b16205689249d7509daf7a6ab00ad0e6c570b3a9c263cb32b26e39d9477bb3 \ + --hash=sha256:7144980923e76ce741c7b03a14d3bd7514db6de5c7cabe96ba95b229d274f5ca \ + --hash=sha256:73673c9bb85927db7fe2e3aed6df6d35dba708cfd6767cc63d4ea11dda2dede5 \ + --hash=sha256:74904b91c42524a6c32147fe5718569e78fb65911ff4499b053f81d0964514d4 \ + --hash=sha256:840a0c6e2119d8c8f260a5dace996ea064a267f62b301a25d7d452488a7ac860 \ + --hash=sha256:b2a456eb0f3d3e8fd8ab37e44ac288292bf8ea8744c294be9fd88713d27af810 \ + --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_byod_3.9.in +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc +zarr==2.18.2 \ + --hash=sha256:9bb393b8a0a38fb121dbb913b047d75db28de9890f6d644a217a73cf4ae74f47 \ + --hash=sha256:a638754902f97efa99b406083fdc807a0e2ccf12a949117389d2a4ba9b05df38 + # via -r release/ray_release/byod/requirements_byod_3.9.in +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # importlib-metadata +zope-event==6.0 \ + --hash=sha256:0ebac894fa7c5f8b7a89141c272133d8c1de6ddc75ea4b1f327f00d1f890df92 \ + --hash=sha256:6f0922593407cc673e7d8766b492c519f91bdc99f3080fe43dcec0a800d682a3 + # via gevent +zope-interface==8.0 \ + --hash=sha256:07405019f635a93b318807cb2ec7b05a5ef30f67cf913d11eb2f156ddbcead0d \ + --hash=sha256:0caca2915522451e92c96c2aec404d2687e9c5cb856766940319b3973f62abb8 \ + --hash=sha256:160ba50022b342451baf516de3e3a2cd2d8c8dbac216803889a5eefa67083688 \ + --hash=sha256:1858d1e5bb2c5ae766890708184a603eb484bb7454e306e967932a9f3c558b07 \ + --hash=sha256:1bee9c1b42513148f98d3918affd829804a5c992c000c290dc805f25a75a6a3f \ + --hash=sha256:450ab3357799eed6093f3a9f1fa22761b3a9de9ebaf57f416da2c9fb7122cdcb \ + --hash=sha256:453d2c6668778b8d2215430ed61e04417386e51afb23637ef2e14972b047b700 \ + --hash=sha256:4d639d5015c1753031e180b8ef81e72bb7d47b0aca0218694ad1f19b0a6c6b63 \ + --hash=sha256:5cffe23eb610e32a83283dde5413ab7a17938fa3fbd023ca3e529d724219deb0 \ + --hash=sha256:67047a4470cb2fddb5ba5105b0160a1d1c30ce4b300cf264d0563136adac4eac \ + --hash=sha256:778458ea69413cf8131a3fcc6f0ea2792d07df605422fb03ad87daca3f8f78ce \ + --hash=sha256:7e88c66ebedd1e839082f308b8372a50ef19423e01ee2e09600b80e765a10234 \ + --hash=sha256:7fb931bf55c66a092c5fbfb82a0ff3cc3221149b185bde36f0afc48acb8dcd92 \ + --hash=sha256:804ebacb2776eb89a57d9b5e9abec86930e0ee784a0005030801ae2f6c04d5d8 \ + --hash=sha256:879bb5bf937cde4acd738264e87f03c7bf7d45478f7c8b9dc417182b13d81f6c \ + --hash=sha256:a26ae2fe77c58b4df8c39c2b7c3aadedfd44225a1b54a1d74837cd27057b2fc8 \ + --hash=sha256:a2c107cc6dff954be25399cd81ddc390667f79af306802fc0c1de98614348b70 \ + --hash=sha256:a9a8a71c38628af82a9ea1f7be58e5d19360a38067080c8896f6cbabe167e4f8 \ + --hash=sha256:b14d5aac547e635af749ce20bf49a3f5f93b8a854d2a6b1e95d4d5e5dc618f7d \ + --hash=sha256:b207966f39c2e6fcfe9b68333acb7b19afd3fdda29eccc4643f8d52c180a3185 \ + --hash=sha256:b80447a3a5c7347f4ebf3e50de319c8d2a5dabd7de32f20899ac50fc275b145d \ + --hash=sha256:c0cc51ebd984945362fd3abdc1e140dbd837c3e3b680942b3fa24fe3aac26ef8 \ + --hash=sha256:c23af5b4c4e332253d721ec1222c809ad27ceae382ad5b8ff22c4c4fb6eb8ed5 \ + --hash=sha256:c4d9d3982aaa88b177812cd911ceaf5ffee4829e86ab3273c89428f2c0c32cc4 \ + --hash=sha256:daf4d6ba488a0fb560980b575244aa962a75e77b7c86984138b8d52bd4b5465f \ + --hash=sha256:dee2d1db1067e8a4b682dde7eb4bff21775412358e142f4f98c9066173f9dacd \ + --hash=sha256:e38bb30a58887d63b80b01115ab5e8be6158b44d00b67197186385ec7efe44c7 \ + --hash=sha256:e3cf57f90a760c56c55668f650ba20c3444cde8332820db621c9a1aafc217471 \ + --hash=sha256:ea1f2e47bc0124a03ee1e5fb31aee5dfde876244bcc552b9e3eb20b041b350d7 \ + --hash=sha256:ec1da7b9156ae000cea2d19bad83ddb5c50252f9d7b186da276d17768c67a3cb \ + --hash=sha256:ee9ecad04269c2da4b1be403a47993981531ffd557064b870eab4094730e5062 + # via gevent + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock new file mode 100644 index 000000000000..6ff2dba3c9f5 --- /dev/null +++ b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock @@ -0,0 +1,6021 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.10 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_ml_byod_3.10.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +absl-py==1.4.0 \ + --hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \ + --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d + # via + # -c python/requirements_compiled.txt + # rouge-score +accelerate==0.28.0 \ + --hash=sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5 \ + --hash=sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval + # peft +adagio==0.2.4 \ + --hash=sha256:c6c4d812f629fc3141284a0b3cfe483731b28da3a1b18f3d5498695ff87dcc12 \ + --hash=sha256:e58abc4539184a65faf9956957d3787616bedeb1303ac5c9b1a201d8af6b87d7 + # via + # -c python/requirements_compiled.txt + # fugue + # qpd +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # adlfs + # anyscale + # fsspec + # gcsfs + # google-auth +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # ypy-websocket +albucore==0.0.24 \ + --hash=sha256:adef6e434e50e22c2ee127b7a3e71f2e35fa088bcf54431e18970b62d97d0005 \ + --hash=sha256:f2cab5431fadf94abf87fd0c89d9f59046e49fe5de34afea8f89bc8390253746 + # via albumentations +albumentations==2.0.8 \ + --hash=sha256:4da95e658e490de3c34af8fcdffed09e36aa8a4edd06ca9f9e7e3ea0b0b16856 \ + --hash=sha256:c4c4259aaf04a7386ad85c7fdcb73c6c7146ca3057446b745cc035805acb1017 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # pydantic +antlr4-python3-runtime==4.11.1 \ + --hash=sha256:a53de701312f9bdacc5258a6872cd6c62b90d3a90ae25e494026f76267333b60 \ + --hash=sha256:ff1954eda1ca9072c02bf500387d0c86cb549bef4dbb3b64f39468b547ec5f6b + # via + # -c python/requirements_compiled.txt + # fugue-sql-antlr + # qpd +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # starlette +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +appdirs==1.4.4 \ + --hash=sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41 \ + --hash=sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128 + # via + # -c python/requirements_compiled.txt + # fs +argcomplete==3.3.0 \ + --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ + --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 + # via + # -c python/requirements_compiled.txt + # gsutil +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # isoduration +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # stack-data +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # aiohttp + # jsonlines + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # nbconvert +bitsandbytes==0.47.0 \ + --hash=sha256:2f805b76891a596025e9e13318b675d08481b9ee650d65e5d2f9d844084c6521 \ + --hash=sha256:4880a6d42ca9628b5a571c8cc3093dc3f5f52511e5a9e47d52d569807975531a \ + --hash=sha256:68f3fffd494a47ed1fd7593bfc5dd2ac69b68260599b71b4c4b3a32f90f3b184 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # nbconvert +boto==2.49.0 \ + --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ + --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # anyscale + # boto3 + # s3transfer +brotli==1.1.0 \ + --hash=sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208 \ + --hash=sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48 \ + --hash=sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354 \ + --hash=sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419 \ + --hash=sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a \ + --hash=sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128 \ + --hash=sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c \ + --hash=sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088 \ + --hash=sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9 \ + --hash=sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a \ + --hash=sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3 \ + --hash=sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757 \ + --hash=sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2 \ + --hash=sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438 \ + --hash=sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578 \ + --hash=sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b \ + --hash=sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b \ + --hash=sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68 \ + --hash=sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0 \ + --hash=sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d \ + --hash=sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943 \ + --hash=sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd \ + --hash=sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409 \ + --hash=sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28 \ + --hash=sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da \ + --hash=sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50 \ + --hash=sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f \ + --hash=sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0 \ + --hash=sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547 \ + --hash=sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180 \ + --hash=sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0 \ + --hash=sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d \ + --hash=sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a \ + --hash=sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb \ + --hash=sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112 \ + --hash=sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc \ + --hash=sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2 \ + --hash=sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265 \ + --hash=sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327 \ + --hash=sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95 \ + --hash=sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec \ + --hash=sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd \ + --hash=sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c \ + --hash=sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38 \ + --hash=sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914 \ + --hash=sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0 \ + --hash=sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a \ + --hash=sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7 \ + --hash=sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368 \ + --hash=sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c \ + --hash=sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0 \ + --hash=sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f \ + --hash=sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451 \ + --hash=sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f \ + --hash=sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8 \ + --hash=sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e \ + --hash=sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248 \ + --hash=sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c \ + --hash=sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91 \ + --hash=sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724 \ + --hash=sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7 \ + --hash=sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966 \ + --hash=sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9 \ + --hash=sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97 \ + --hash=sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d \ + --hash=sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5 \ + --hash=sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf \ + --hash=sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac \ + --hash=sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b \ + --hash=sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951 \ + --hash=sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74 \ + --hash=sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648 \ + --hash=sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60 \ + --hash=sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c \ + --hash=sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1 \ + --hash=sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8 \ + --hash=sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d \ + --hash=sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc \ + --hash=sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61 \ + --hash=sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460 \ + --hash=sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751 \ + --hash=sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9 \ + --hash=sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2 \ + --hash=sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0 \ + --hash=sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1 \ + --hash=sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474 \ + --hash=sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75 \ + --hash=sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5 \ + --hash=sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f \ + --hash=sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2 \ + --hash=sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f \ + --hash=sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb \ + --hash=sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6 \ + --hash=sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9 \ + --hash=sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111 \ + --hash=sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2 \ + --hash=sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01 \ + --hash=sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467 \ + --hash=sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619 \ + --hash=sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf \ + --hash=sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408 \ + --hash=sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579 \ + --hash=sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84 \ + --hash=sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7 \ + --hash=sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c \ + --hash=sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284 \ + --hash=sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52 \ + --hash=sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b \ + --hash=sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59 \ + --hash=sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752 \ + --hash=sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1 \ + --hash=sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80 \ + --hash=sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839 \ + --hash=sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0 \ + --hash=sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2 \ + --hash=sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3 \ + --hash=sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64 \ + --hash=sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089 \ + --hash=sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643 \ + --hash=sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b \ + --hash=sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e \ + --hash=sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985 \ + --hash=sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596 \ + --hash=sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2 \ + --hash=sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064 + # via geventhttpclient +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # anyscale + # geventhttpclient + # requests + # sentry-sdk +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +chardet==5.2.0 \ + --hash=sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7 \ + --hash=sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970 + # via mbstrdecoder +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # anyscale + # flask + # nltk + # typer + # uvicorn + # wandb +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # statsforecast +cmake==4.1.0 \ + --hash=sha256:0e2fea746d746f52aa52b8498777ff665a0627d9b136bec4ae0465c38b75e799 \ + --hash=sha256:2a8790473afbb895b8e684e479f26773e4fc5c86845e3438e8488d38de9db807 \ + --hash=sha256:2d9f14b7d58e447865c111b3b90945b150724876866f5801c80970151718f710 \ + --hash=sha256:3ee38de00cad0501c7dd2b94591522381e3ef9c8468094f037a17ed9e478ef13 \ + --hash=sha256:4e3a30a4f72a8a6d8d593dc289e791f1d84352c1f629543ac8e22c62dbadb20a \ + --hash=sha256:574448a03acdf34c55a7c66485e7a8260709e8386e9145708e18e2abe5fc337b \ + --hash=sha256:5a28a87601fa5e775017bf4f5836e8e75091d08f3e5aac411256754ba54fe5c4 \ + --hash=sha256:69df62445b22d78c2002c22edeb0e85590ae788e477d222fb2ae82c871c33090 \ + --hash=sha256:7219b7e85ed03a98af89371b9dee762e236ad94e8a09ce141070e6ac6415756f \ + --hash=sha256:76e8e7d80a1a9bb5c7ec13ec8da961a8c5a997247f86a08b29f0c2946290c461 \ + --hash=sha256:7c7999c5a1d5a3a66adacc61056765557ed253dc7b8e9deab5cae546f4f9361c \ + --hash=sha256:8d39bbfee7c181e992875cd390fc6d51a317c9374656b332021a67bb40c0b07f \ + --hash=sha256:b8c2538fb557b9edd74d48c189fcde42a55ad7e2c39e04254f8c5d248ca1af4c \ + --hash=sha256:bacdd21aebdf9a42e5631cfb365beb8221783fcd27c4e04f7db8b79c43fb12df \ + --hash=sha256:c6bd346fe4d9c205310ef9a6e09ced7e610915fa982d7b649f9b12caa6fa0605 \ + --hash=sha256:d54e68d5439193265fd7211671420601f6a672b8ca220f19e6c72238b41a84c2 \ + --hash=sha256:dab375932f5962e078da8cf76ca228c21bf4bea9ddeb1308e2b35797fa30f784 \ + --hash=sha256:e77ac2554a7b8a94745add465413e3266b714766e9a5d22ac8e5b36a900a1136 \ + --hash=sha256:f2eaa6f0a25e31fe09fb0b7f40fbf208eea5f1313093ff441ecfff7dc1b80adf + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # log-symbols + # sacrebleu + # tqdm-multiprocess +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets +configargparse==1.7.1 \ + --hash=sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9 \ + --hash=sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6 + # via locust +contourpy==1.1.1 \ + --hash=sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6 \ + --hash=sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33 \ + --hash=sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8 \ + --hash=sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d \ + --hash=sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d \ + --hash=sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c \ + --hash=sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf \ + --hash=sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e \ + --hash=sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e \ + --hash=sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163 \ + --hash=sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532 \ + --hash=sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2 \ + --hash=sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8 \ + --hash=sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1 \ + --hash=sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b \ + --hash=sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9 \ + --hash=sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916 \ + --hash=sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23 \ + --hash=sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb \ + --hash=sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a \ + --hash=sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e \ + --hash=sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442 \ + --hash=sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684 \ + --hash=sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34 \ + --hash=sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d \ + --hash=sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d \ + --hash=sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9 \ + --hash=sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45 \ + --hash=sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718 \ + --hash=sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab \ + --hash=sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3 \ + --hash=sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae \ + --hash=sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb \ + --hash=sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5 \ + --hash=sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba \ + --hash=sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0 \ + --hash=sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217 \ + --hash=sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887 \ + --hash=sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887 \ + --hash=sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62 \ + --hash=sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431 \ + --hash=sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b \ + --hash=sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce \ + --hash=sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b \ + --hash=sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f \ + --hash=sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85 \ + --hash=sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e \ + --hash=sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7 \ + --hash=sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251 \ + --hash=sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970 \ + --hash=sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0 \ + --hash=sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7 + # via + # -c python/requirements_compiled.txt + # matplotlib +crc32c==2.3 \ + --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ + --hash=sha256:0c1f3e28b8aec8a0f7727337fafa31f0ace38e59e054c51fecb923535c6dc6e6 \ + --hash=sha256:17ce6c596ad0d53df52dcd72defb66984aeabd98fbefea7ba848a6b6bdece36a \ + --hash=sha256:1d334d51d395f78fb649e8442341da782e63d3f9552fcfbc040995d24d4b794d \ + --hash=sha256:250af144edce7850a35c618b4dd1bf56436e031560228c17a7c78bf29239ceb0 \ + --hash=sha256:255e35719c252ce7609cb3f1c5a045783a6e0d6d7b035d507ddd82d5194c236a \ + --hash=sha256:327e44184826cd1c72bcd4a9b2c4badfd29501333e158460c7d3ad8b7f066588 \ + --hash=sha256:32c573dd861933e2390932cc10e1b78d71ee7827ee4dfcec96e23cf007a1a6d3 \ + --hash=sha256:374d288cc1735932276bc65670db329dd9fe2af4ec323599dc40e1212b13985e \ + --hash=sha256:3f372a53e9cf2464421b82b41fb66d98f654284c8fc4363f51bb0f5485fdc2b4 \ + --hash=sha256:4323f56908b7e5cea039122aad039fcf750974b09e4f993244d4dddb24cab561 \ + --hash=sha256:47088e524a9ec2887ae0ec519d75df40f005debf9d52f10e688f27e7cc0d339c \ + --hash=sha256:4ab21f02c13dc5a0411838d0709cb4d24bcb865ea28b683b7403826c08d14e27 \ + --hash=sha256:4ac8738e9cd28948e40fb3a3c89a44660e4ad266f7726964200224e101f5c8ef \ + --hash=sha256:4d223e844ee61ac492f0197b62ccc2a9c23db15e4d2938e698fec6eded0daf15 \ + --hash=sha256:554bc2a9ccfa7c02bb8a5346fd546b65ed265965e7fea768c7f2681f2b68d6a0 \ + --hash=sha256:5612be1606eec55511ade38deec40c9f1c7647ec0407a4031e0a2e6e6a635f27 \ + --hash=sha256:5a13d41a29d3feea5ba87def9d4dccc3362139345a24997de33fad00b656622b \ + --hash=sha256:5aa6383c0a13a542c3f1eb82a02e29c1141e0a2bc63faedd0062d1c41649989f \ + --hash=sha256:5ddf91756d6275f497d0895b8875d1f1fdac6be08a5900f4123ede2c91cd1422 \ + --hash=sha256:5e076ae46ac0e4e28eb43932c5c0b8e1b8751bb7d1b0d239f18230aed7cca3bf \ + --hash=sha256:5f347244590f294eaea2e92546100bd56db926305e0603a0d57a88e59f86b308 \ + --hash=sha256:61479a60d5a2b3160a4ae17b37df119963a741fd61ca71d4792670cdf7d7ea41 \ + --hash=sha256:682974e2cfb199ebc4adc5eb4d493dbcf83812a031a8ecccae5a7b5bcade5d9f \ + --hash=sha256:6872d8728f30f2a13f95762801428cf92a7ee6f170c872be81a17b1549b69131 \ + --hash=sha256:6b7c71a3ae1511c42b7919e6116560c08ba89479ea249f281c5bfba2b619411d \ + --hash=sha256:7eb1fea3d9ec71f353a6c38648d074e722fff1f43c1998ae6088dbee324a1ca6 \ + --hash=sha256:7ec3d9257d0624fb74335f67592b6a30de5e0cfb60322ed8682e35820decac8f \ + --hash=sha256:8067ce072908626869b583700da6b4bfc9a538975d77232ae68a31d8af5f1ff6 \ + --hash=sha256:82942ed343e5c884b5c0c9aa6bb5bb47de0247df95ce5d154cc48744d5c2ffd4 \ + --hash=sha256:8363b553b33719b37fff46378a6e96106fd9232d2e043eebb6c6da46925c7663 \ + --hash=sha256:865bf66d86809971d4856e38085a4a15a7251b8e780f22ad52e12b50784dac25 \ + --hash=sha256:866d1cbe646bdef67fc225371da265f081809bcf238bf562d6874c97e7fcb0d6 \ + --hash=sha256:8948a9262d36e2aad3be74aac3ce7a1b090ab2361f7619b3f23418fa536f1b25 \ + --hash=sha256:896bda76db13f229c1126d5e384673f78e06685e70d76fff4c5a3f65b4068b4d \ + --hash=sha256:8ab9df0bd9bf10f3d5bd346321d48da8a28392b1f48f7a6fa3234acebe6ee448 \ + --hash=sha256:90c46644225dc7f71b4dd499ed71ada59d061fd60aa55233270d088ee8cfcd13 \ + --hash=sha256:9ce72a40c17636af97e37bad2f2c11a2e740f57d4051ef586c04d1aa83db8b38 \ + --hash=sha256:a2427a9196c2b8b1c27d7e31cc5c9fff13af0b1411ff1565459f65554990f055 \ + --hash=sha256:a423c098ceffbd70544d1de3e00eeb45ec4b8463ab5d8005389fbbf3243314d1 \ + --hash=sha256:a51ac079c44297bbf624a598cffe6f85bd0a5faf780fd75d2d5e531d42d427ef \ + --hash=sha256:a5560faa3f673183eb1e2fc2c1361cc9ab86865a1d5774baf61fec9ca6c1a696 \ + --hash=sha256:a7d568eb07473d9bc6fb413a4d3248265212c537b80d494ab884cc5316589110 \ + --hash=sha256:ad57917650af59c989b62184fc4604d6c5066fc030ced4c6e07a596000f1ab86 \ + --hash=sha256:ad83e4c78379cc3e22b760e9874bc57f91a9cfb85107ccba1c6442bc1a2e2a1c \ + --hash=sha256:b04c44ad7cde9c21ad426bdfa675ba7039db82a6961c99690f9d2ff2f034c892 \ + --hash=sha256:b917b73d810bcdbcd1461978ba55038dcf2bbc3b56704b0082d2f9b0d5edc7ad \ + --hash=sha256:c04a27ba3cbc7a9e34c77f402bd3a83442a2c7acd3897d2539b1a3321ed28a6a \ + --hash=sha256:c59c6ea67ab927b2ab958c7b01a6b17c9cad882e7a1da51b9c35fbc9874ff46a \ + --hash=sha256:c74d81a00972cbe65e27e99838b44ed5e04bced971e5bfa01c27a4bd17138442 \ + --hash=sha256:ca03d8d5b35a26e0d3eb8c7121de3e37a59042735029eabcf1c4b15343f82cdd \ + --hash=sha256:cea0fe7053e36a4809e5bf95989552f52c98bbc94dca9062fb5b8c976daa0f32 \ + --hash=sha256:d27116037f97a02f1a123ca82008ee993c28afe8590e047a6cd86aca33653cca \ + --hash=sha256:d82fa5bb0661a7a508e62730d4d9045f53d4ab6a9211b560a014f1d58a8337cb \ + --hash=sha256:dce1deda03c6dbe0f5ae6e3e0f8671caead64075fd19a61b1700d42a88af97c8 \ + --hash=sha256:dd9bc7e5599f5970fff1f9aa551639336a76d1bb1fb00f0b87704049df8ba035 \ + --hash=sha256:df19ab6ab3884a237388c7720b1fe617dd4893305f62383d0f96fc7980dfdf7c \ + --hash=sha256:e14f4d57e004fa5a6100ea3aeb9574bee6f95965a96a382154fa40aee1fdeb5e \ + --hash=sha256:e6e16d57b8103fee9fdecb38e908d9ceb70d2196bb932dba64bf7b570f44c0b9 \ + --hash=sha256:ed14214fcc1416e0dc63be4c88aad7f58e0f0cb2c22d578b861e8fc19d1b2d2f \ + --hash=sha256:ef1165f7f36edaae03fcf03f1ca3bdbf196a5255d656bfb17959ba0405a2c8ee \ + --hash=sha256:f1679f7f700f2aec3dbee4e357a2fdde53e2ec151dde4e0b52a9205fac273a90 \ + --hash=sha256:f524fd202472d041b9bddb4a51b5fff28767a9c69953dbcdeecc67ef65707c07 \ + --hash=sha256:f641a9bd24a309637cca6c119b8aabdfe6d41bab5ea630124ee9be7891e36ba1 \ + --hash=sha256:f9a070dbe10dac29c2f591a59300c37448e3c7a747b6ea18d4826b7c94a956bd \ + --hash=sha256:fac1b4248625acd65985378f6b34a00b73cfc9db5b8ccc73101744de2e3dfa66 \ + --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +crcmod==1.7 \ + --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e + # via + # -c python/requirements_compiled.txt + # gsutil +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via + # -c python/requirements_compiled.txt + # matplotlib +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +dataproperty==1.1.0 \ + --hash=sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04 \ + --hash=sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b + # via + # pytablewriter + # tabledata +datasets==3.6.0 \ + --hash=sha256:1b2bf43b19776e2787e181cfd329cb0ca1a358ea014780c3581e0f276375e041 \ + --hash=sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # evaluate + # lm-eval +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # gcsfs + # ipython +decord==0.6.0 \ + --hash=sha256:02665d7c4f1193a330205a791bc128f7e108eb6ae5b67144437a02f700943bad \ + --hash=sha256:51997f20be8958e23b7c4061ba45d0efcd86bffd5fe81c695d0befee0d442976 \ + --hash=sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323 \ + --hash=sha256:9c20674964fb1490c677bd911d2023d2a09fec7a58a4bb0b7ddf1ccc269f107a \ + --hash=sha256:a0eb1258beade34dceb29d97856a7764d179db1b5182899b61874f3418a1abc8 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +deepspeed==0.12.3 \ + --hash=sha256:dc8a0c261589856743c3b3e7bf9829eded2cc8b2464a40456c3a997ed3a01a08 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # nbconvert +diffusers==0.12.1 \ + --hash=sha256:9d1c078ebec37a1410a52b5dfb0fd9b32675c54f4ef8d13bdad5cfa130381db6 \ + --hash=sha256:baabdf8cc36dcc0e282dae750d43d8feaa4892aea986b606e5b33b7745a91d4e + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +dill==0.3.7 \ + --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ + --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 + # via + # -c python/requirements_compiled.txt + # datasets + # evaluate + # multiprocess + # petastorm +diskcache==5.6.3 \ + --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ + --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 + # via petastorm +docker-pycreds==0.4.0 \ + --hash=sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4 \ + --hash=sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49 + # via + # -c python/requirements_compiled.txt + # wandb +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # jupyter-client + # nbconvert +evaluate==0.4.3 \ + --hash=sha256:3a5700cf83aabee9549264e1e5666f116367c61dbd4d38352015e859a5e2098d \ + --hash=sha256:47d8770bdea76e2c2ed0d40189273027d1a41ccea861bcc7ba12d30ec5d1e517 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via + # anyio + # pytest +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # stack-data +fairscale==0.4.6 \ + --hash=sha256:9e8548ddb26b331d89340ed76ae9a0a51e50cc419d2b339bcbff62ca1a7712fc + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +fasteners==0.19 \ + --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ + --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c + # via + # -c python/requirements_compiled.txt + # google-apitools + # gsutil +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # nbformat +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # datasets + # diffusers + # huggingface-hub + # torch + # transformers + # triton +flask==2.1.3 \ + --hash=sha256:15972e5017df0575c3d6c090ba168b6db90259e620ac8d7ea813a396bad5b6cb \ + --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c + # via + # -c python/requirements_compiled.txt + # flask-basicauth + # flask-cors + # locust +flask-basicauth==0.2.0 \ + --hash=sha256:df5ebd489dc0914c224419da059d991eb72988a01cdd4b956d52932ce7d501ff + # via locust +flask-cors==4.0.0 \ + --hash=sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783 \ + --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 + # via + # -c python/requirements_compiled.txt + # locust +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in +fonttools==4.45.1 \ + --hash=sha256:03ed3bda541e86725f6b4e1b94213f13ed1ae51a5a1f167028534cedea38c010 \ + --hash=sha256:0dc7617d96b1e668eea9250e1c1fe62d0c78c3f69573ce7e3332cc40e6d84356 \ + --hash=sha256:105099968b58a5b4cef6f3eb409db8ea8578b302a9d05e23fecba1b8b0177b5f \ + --hash=sha256:1b9e9ad2bcded9a1431afaa57c8d3c39143ac1f050862d66bddd863c515464a2 \ + --hash=sha256:1f53a19dcdd5737440839b8394eeebb35da9ec8109f7926cb6456639b5b58e47 \ + --hash=sha256:21e96b99878348c74aa58059b8578d7586f9519cbcdadacf56486737038aa043 \ + --hash=sha256:2c980d60cd6ec1376206fe55013d166e5627ad0b149b5c81e74eaa913ab6134f \ + --hash=sha256:316cec50581e844c3ab69d7c82455b54c7cf18236b2f09e722faf665fbfcac58 \ + --hash=sha256:37cd1ced6efb3dd6fe82e9f9bf92fd74ac58a5aefc284045f59ecd517a5fb9ab \ + --hash=sha256:392d0e3cc23daee910193625f7cf1b387aff9dd5b6f1a5f4a925680acb6dcbc2 \ + --hash=sha256:3bdd7dfca8f6c9f4779384064027e8477ad6a037d6a327b09381f43e0247c6f3 \ + --hash=sha256:43a3d267334109ff849c37cf3629476b5feb392ef1d2e464a167b83de8cd599c \ + --hash=sha256:45fa321c458ea29224067700954ec44493ae869b47e7c5485a350a149a19fb53 \ + --hash=sha256:46eabddec12066829b8a1efe45ae552ba2f1796981ecf538d5f68284c354c589 \ + --hash=sha256:4b9544b1346d99848ac0e9b05b5d45ee703d7562fc4c9c48cf4b781de9632e57 \ + --hash=sha256:4ba17822a6681d06849078daaf6e03eccc9f467efe7c4c60280e28a78e8e5df9 \ + --hash=sha256:5a17706b9cc24b27721613fe5773d93331ab7f0ecaca9955aead89c6b843d3a7 \ + --hash=sha256:5cbf02cda8465b69769d07385f5d11e7bba19954e7787792f46fe679ec755ebb \ + --hash=sha256:6e441286d55fe7ec7c4fb36812bf914924813776ff514b744b510680fc2733f2 \ + --hash=sha256:6eb2c54f7a07c92108daabcf02caf31df97825738db02a28270633946bcda4d0 \ + --hash=sha256:777ba42b94a27bb7fb2b4082522fccfd345667c32a56011e1c3e105979af5b79 \ + --hash=sha256:794de93e83297db7b4943f2431e206d8b1ea69cb3ae14638a49cc50332bf0db8 \ + --hash=sha256:800e354e0c3afaeb8d9552769773d02f228e98c37b8cb03041157c3d0687cffc \ + --hash=sha256:847f3f49dd3423e5a678c098e2ba92c7f4955d4aab3044f6a507b0bb0ecb07e0 \ + --hash=sha256:8717db3e4895e4820ade64ea379187738827ee60748223cb0438ef044ee208c6 \ + --hash=sha256:8b07b857d4f9de3199a8c3d1b1bf2078c0f37447891ca1a8d9234106b9a27aff \ + --hash=sha256:8e1aefc2bf3c43e0f33f995f828a7bbeff4adc9393a7760b11456dbcf14388f6 \ + --hash=sha256:a12dee6523c02ca78aeedd0a5e12bfa9b7b29896350edd5241542897b072ae23 \ + --hash=sha256:a3c11d9687479f01eddef729aa737abcdea0a44fdaffb62a930a18892f186c9b \ + --hash=sha256:b6de2f0fcd3302fb82f94801002cb473959e998c14c24ec28234adb674aed345 \ + --hash=sha256:ba299f1fbaa2a1e33210aaaf6fa816d4059e4d3cfe2ae9871368d4ab548c1c6a \ + --hash=sha256:ba6c23591427844dfb0a13658f1718489de75de6a46b64234584c0d17573162d \ + --hash=sha256:c4f4a5870e3b56788fb196da8cf30d0dfd51a76dc3b907861d018165f76ae4c2 \ + --hash=sha256:cb472905da3049960e80fc1cf808231880d79727a8410e156bf3e5063a1c574f \ + --hash=sha256:cebcddbe9351b67166292b4f71ffdbfcce01ba4b07d4267824eb46b277aeb19a \ + --hash=sha256:e2277cba9f0b525e30de2a9ad3cb4219aa4bc697230c1645666b0deee9f914f0 \ + --hash=sha256:e29d5f298d616a93a4c5963682dc6cc8cc09f6d89cad2c29019fc5fb3b4d9472 \ + --hash=sha256:e3d24248221bd7151dfff0d88b1b5da02dccd7134bd576ce8888199827bbaa19 \ + --hash=sha256:e50f794d09df0675da8d9dbd7c66bfcab2f74a708343aabcad41936d26556891 \ + --hash=sha256:f22eb69996a0bd49f76bdefb30be54ce8dbb89a0d1246874d610f05c2aa2e69e \ + --hash=sha256:fb36e5f40191274a95938b40c0a1fa7f895e36935aea8709e1d6deff0b2d0d4f \ + --hash=sha256:ff6a698bdd435d24c379f6e8a54908cd9bb7dda23719084d56bf8c87709bf3bd + # via + # -c python/requirements_compiled.txt + # matplotlib +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # aiohttp + # aiosignal +fs==2.4.16 \ + --hash=sha256:660064febbccda264ae0b6bace80a8d1be9e089e0a5eb2427b7d517f9a91545c \ + --hash=sha256:ae97c7d51213f4b70b6a958292530289090de3a7e15841e108fbe144f069d313 + # via + # -c python/requirements_compiled.txt + # triad +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # adlfs + # datasets + # evaluate + # gcsfs + # huggingface-hub + # modin + # petastorm + # pytorch-lightning + # torch + # triad +fugue==0.8.7 \ + --hash=sha256:4c56946de46083778cdd6ec5b91ac5d37a847164c80790771edc6832bb9a260d \ + --hash=sha256:d4dc16bac9850024109b999cd163a6ca4976bd0bf190a85730d91ff74737c3f2 + # via + # -c python/requirements_compiled.txt + # statsforecast +fugue-sql-antlr==0.2.0 \ + --hash=sha256:e15433aaf09502c5b0423019d9fa93e161172ceb08e7bd27af0175dadf3cf552 + # via + # -c python/requirements_compiled.txt + # fugue +future==1.0.0 \ + --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ + --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 + # via + # -c python/requirements_compiled.txt + # petastorm +gcs-oauth2-boto-plugin==3.0 \ + --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 + # via + # -c python/requirements_compiled.txt + # gsutil +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +gevent==24.2.1 \ + --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ + --hash=sha256:117e5837bc74a1673605fb53f8bfe22feb6e5afa411f524c835b2ddf768db0de \ + --hash=sha256:141a2b24ad14f7b9576965c0c84927fc85f824a9bb19f6ec1e61e845d87c9cd8 \ + --hash=sha256:14532a67f7cb29fb055a0e9b39f16b88ed22c66b96641df8c04bdc38c26b9ea5 \ + --hash=sha256:1dffb395e500613e0452b9503153f8f7ba587c67dd4a85fc7cd7aa7430cb02cc \ + --hash=sha256:2955eea9c44c842c626feebf4459c42ce168685aa99594e049d03bedf53c2800 \ + --hash=sha256:2ae3a25ecce0a5b0cd0808ab716bfca180230112bb4bc89b46ae0061d62d4afe \ + --hash=sha256:2e9ac06f225b696cdedbb22f9e805e2dd87bf82e8fa5e17756f94e88a9d37cf7 \ + --hash=sha256:368a277bd9278ddb0fde308e6a43f544222d76ed0c4166e0d9f6b036586819d9 \ + --hash=sha256:3adfb96637f44010be8abd1b5e73b5070f851b817a0b182e601202f20fa06533 \ + --hash=sha256:3d5325ccfadfd3dcf72ff88a92fb8fc0b56cacc7225f0f4b6dcf186c1a6eeabc \ + --hash=sha256:432fc76f680acf7cf188c2ee0f5d3ab73b63c1f03114c7cd8a34cebbe5aa2056 \ + --hash=sha256:44098038d5e2749b0784aabb27f1fcbb3f43edebedf64d0af0d26955611be8d6 \ + --hash=sha256:5a1df555431f5cd5cc189a6ee3544d24f8c52f2529134685f1e878c4972ab026 \ + --hash=sha256:6c47ae7d1174617b3509f5d884935e788f325eb8f1a7efc95d295c68d83cce40 \ + --hash=sha256:6f947a9abc1a129858391b3d9334c45041c08a0f23d14333d5b844b6e5c17a07 \ + --hash=sha256:782a771424fe74bc7e75c228a1da671578c2ba4ddb2ca09b8f959abdf787331e \ + --hash=sha256:7899a38d0ae7e817e99adb217f586d0a4620e315e4de577444ebeeed2c5729be \ + --hash=sha256:7b00f8c9065de3ad226f7979154a7b27f3b9151c8055c162332369262fc025d8 \ + --hash=sha256:8f4b8e777d39013595a7740b4463e61b1cfe5f462f1b609b28fbc1e4c4ff01e5 \ + --hash=sha256:90cbac1ec05b305a1b90ede61ef73126afdeb5a804ae04480d6da12c56378df1 \ + --hash=sha256:918cdf8751b24986f915d743225ad6b702f83e1106e08a63b736e3a4c6ead789 \ + --hash=sha256:9202f22ef811053077d01f43cc02b4aaf4472792f9fd0f5081b0b05c926cca19 \ + --hash=sha256:94138682e68ec197db42ad7442d3cf9b328069c3ad8e4e5022e6b5cd3e7ffae5 \ + --hash=sha256:968581d1717bbcf170758580f5f97a2925854943c45a19be4d47299507db2eb7 \ + --hash=sha256:9d8d0642c63d453179058abc4143e30718b19a85cbf58c2744c9a63f06a1d388 \ + --hash=sha256:a7ceb59986456ce851160867ce4929edaffbd2f069ae25717150199f8e1548b8 \ + --hash=sha256:b9913c45d1be52d7a5db0c63977eebb51f68a2d5e6fd922d1d9b5e5fd758cc98 \ + --hash=sha256:bde283313daf0b34a8d1bab30325f5cb0f4e11b5869dbe5bc61f8fe09a8f66f3 \ + --hash=sha256:bf5b9c72b884c6f0c4ed26ef204ee1f768b9437330422492c319470954bc4cc7 \ + --hash=sha256:ca80b121bbec76d7794fcb45e65a7eca660a76cc1a104ed439cdbd7df5f0b060 \ + --hash=sha256:cdf66977a976d6a3cfb006afdf825d1482f84f7b81179db33941f2fc9673bb1d \ + --hash=sha256:d4faf846ed132fd7ebfbbf4fde588a62d21faa0faa06e6f468b7faa6f436b661 \ + --hash=sha256:d7f87c2c02e03d99b95cfa6f7a776409083a9e4d468912e18c7680437b29222c \ + --hash=sha256:dd23df885318391856415e20acfd51a985cba6919f0be78ed89f5db9ff3a31cb \ + --hash=sha256:f5de3c676e57177b38857f6e3cdfbe8f38d1cd754b63200c0615eaa31f514b4f \ + --hash=sha256:f5e8e8d60e18d5f7fd49983f0c4696deeddaf6e608fbab33397671e2fcc6cc91 \ + --hash=sha256:f7cac622e11b4253ac4536a654fe221249065d9a69feb6cdcd4d9af3503602e0 \ + --hash=sha256:f8a04cf0c5b7139bc6368b461257d4a757ea2fe89b3773e494d235b7dd51119f \ + --hash=sha256:f8bb35ce57a63c9a6896c71a285818a3922d8ca05d150fd1fe49a7f57287b836 \ + --hash=sha256:fbfdce91239fe306772faab57597186710d5699213f4df099d1612da7320d682 + # via + # geventhttpclient + # locust +geventhttpclient==2.3.4 \ + --hash=sha256:0129ce7ef50e67d66ea5de44d89a3998ab778a4db98093d943d6855323646fa5 \ + --hash=sha256:024b9e2e3203cc5e2c34cb5efd16ba0f2851e39c45abdc2966a8c30a935094fc \ + --hash=sha256:04a3328e687c419f78926a791df48c7672e724fa75002f2d3593df96510696e6 \ + --hash=sha256:0599fd7ca84a8621f8d34c4e2b89babae633b34c303607c61500ebd3b8a7687a \ + --hash=sha256:063991edd5468401377116cc2a71361a88abce9951f60ba15b7fe1e10ce00f25 \ + --hash=sha256:07152cad33b39d365f239b4fa1f818f4801c07e16ce0a0fee7d5fee2cabcb07b \ + --hash=sha256:08ea2e92a1a4f46d3eeff631fa3f04f4d12c78523dc9bffc3b05b3dd93233050 \ + --hash=sha256:110d863baf7f0a369b6c22be547c5582e87eea70ddda41894715c870b2e82eb0 \ + --hash=sha256:142870c2efb6bd0a593dcd75b83defb58aeb72ceaec4c23186785790bd44a311 \ + --hash=sha256:15b2567137734183efda18e4d6245b18772e648b6a25adea0eba8b3a8b0d17e8 \ + --hash=sha256:1749f75810435a001fc6d4d7526c92cf02b39b30ab6217a886102f941c874222 \ + --hash=sha256:182f5158504ac426d591cfb1234de5180813292b49049e761f00bf70691aace5 \ + --hash=sha256:195e396c59f25958ad6f79d2c58431cb8b1ff39b5821e6507bf539c79b5681dc \ + --hash=sha256:19721357db976149ccf54ac279eab8139da8cdf7a11343fd02212891b6f39677 \ + --hash=sha256:1c69c4ec9b618ca42008d6930077d72ee0c304e2272a39a046e775c25ca4ac44 \ + --hash=sha256:1d23fe37b9d79b17dbce2d086006950d4527a2f95286046b7229e1bd3d8ac5e4 \ + --hash=sha256:20c65d404fa42c95f6682831465467dff317004e53602c01f01fbd5ba1e56628 \ + --hash=sha256:226d9fca98469bd770e3efd88326854296d1aa68016f285bd1a2fb6cd21e17ee \ + --hash=sha256:227579b703085c4e5c6d5217ad6565b19ac8d1164404133e5874efaae1905114 \ + --hash=sha256:2335963f883a94f503b321f7abfb38a4efbca70f9453c5c918cca40a844280cd \ + --hash=sha256:2574ee47ff6f379e9ef124e2355b23060b81629f1866013aa975ba35df0ed60b \ + --hash=sha256:2a8cde016e5ea6eb289c039b6af8dcef6c3ee77f5d753e57b48fe2555cdeacca \ + --hash=sha256:2fa223034774573218bb49e78eca7e92b8c82ccae9d840fdcf424ea95c2d1790 \ + --hash=sha256:30671bb44f5613177fc1dc7c8840574d91ccd126793cd40fc16915a4abc67034 \ + --hash=sha256:389d3f83316220cfa2010f41401c140215a58ddba548222e7122b2161e25e391 \ + --hash=sha256:39746bcd874cb75aaf6d16cdddd287a29721e8b56c20dd8a4d4ecde1d3b92f14 \ + --hash=sha256:3a74f7b926badb3b1d47ea987779cb83523a406e89203070b58b20cf95d6f535 \ + --hash=sha256:407cb68a3c3a2c4f5d503930298f2b26ae68137d520e8846d8e230a9981d9334 \ + --hash=sha256:416cc70adb3d34759e782d2e120b4432752399b85ac9758932ecd12274a104c3 \ + --hash=sha256:41f2dcc0805551ea9d49f9392c3b9296505a89b9387417b148655d0d8251b36e \ + --hash=sha256:42b6f6afb0d3aab6a013c9cdb97e19bf4fe08695975670d0a018113d24cb344c \ + --hash=sha256:4371b1b1afc072ad2b0ff5a8929d73ffd86d582908d3e9e8d7911dc027b1b3a6 \ + --hash=sha256:44e9ba810c28f9635e5c4c9cf98fc6470bad5a3620d8045d08693f7489493a3c \ + --hash=sha256:461e4d9f4caee481788ec95ac64e0a4a087c1964ddbfae9b6f2dc51715ba706c \ + --hash=sha256:46eda9a9137b0ca7886369b40995d2a43a5dff033d0a839a54241015d1845d41 \ + --hash=sha256:47dbf8a163a07f83b38b0f8a35b85e5d193d3af4522ab8a5bbecffff1a4cd462 \ + --hash=sha256:49f5e2051f7d06cb6476500a2ec1b9737aa3160258f0344b07b6d8e8cda3a0cb \ + --hash=sha256:4b802000a4fad80fa57e895009671d6e8af56777e3adf0d8aee0807e96188fd9 \ + --hash=sha256:4c24db3faa829244ded6805b47aec408df2f5b15fe681e957c61543070f6e405 \ + --hash=sha256:4e39ad577b33a5be33b47bff7c2dda9b19ced4773d169d6555777cd8445c13c0 \ + --hash=sha256:4e492b9ab880f98f8a9cc143b96ea72e860946eae8ad5fb2837cede2a8f45154 \ + --hash=sha256:501d5c69adecd5eaee3c22302006f6c16aa114139640873b72732aa17dab9ee7 \ + --hash=sha256:503db5dd0aa94d899c853b37e1853390c48c7035132f39a0bab44cbf95d29101 \ + --hash=sha256:525bd192705b5cb41a7cc3fe41fca194bfd6b5b59997ab9fe68fe0a82dab6140 \ + --hash=sha256:54fbbcca2dcf06f12a337dd8f98417a09a49aa9d9706aa530fc93acb59b7d83c \ + --hash=sha256:5660dfd692bc2cbd3bd2d0a2ad2a58ec47f7778042369340bdea765dc10e5672 \ + --hash=sha256:59a2e7c136a3e6b60b87bf8b87e5f1fb25705d76ab7471018e25f8394c640dda \ + --hash=sha256:5aa16f2939a508667093b18e47919376f7db9a9acbe858343173c5a58e347869 \ + --hash=sha256:5ee758e37215da9519cea53105b2a078d8bc0a32603eef2a1f9ab551e3767dee \ + --hash=sha256:5f71c75fc138331cbbe668a08951d36b641d2c26fb3677d7e497afb8419538db \ + --hash=sha256:5fde955b634a593e70eae9b4560b74badc8b2b1e3dd5b12a047de53f52a3964a \ + --hash=sha256:62f3a29bf242ecca6360d497304900683fd8f42cbf1de8d0546c871819251dad \ + --hash=sha256:6409fcda1f40d66eab48afc218b4c41e45a95c173738d10c50bc69c7de4261b9 \ + --hash=sha256:650bf5d07f828a0cb173dacc4bb28e2ae54fd840656b3e552e5c3a4f96e29f08 \ + --hash=sha256:69668589359db4cbb9efa327dda5735d1e74145e6f0a9ffa50236d15cf904053 \ + --hash=sha256:6c4b796a59bed199884fe9d59a447fd685aa275a1406bc1f7caebd39a257f56e \ + --hash=sha256:6c87a1762aba525b00aac34e1ffb97d083f94ef505282a461147298f32b2ae27 \ + --hash=sha256:707a66cd1e3bf06e2c4f8f21d3b4e6290c9e092456f489c560345a8663cdd93e \ + --hash=sha256:709f557138fb84ed32703d42da68f786459dab77ff2c23524538f2e26878d154 \ + --hash=sha256:71206ab89abdd0bd5fee21e04a3995ec1f7d8ae1478ee5868f9e16e85a831653 \ + --hash=sha256:71dbc6d4004017ef88c70229809df4ad2317aad4876870c0b6bcd4d6695b7a8d \ + --hash=sha256:72575c5b502bf26ececccb905e4e028bb922f542946be701923e726acf305eb6 \ + --hash=sha256:736aa8e9609e4da40aeff0dbc02fea69021a034f4ed1e99bf93fc2ca83027b64 \ + --hash=sha256:73a88925055acc56811927614bb8be3e784fdd5149819fa26c2af6a43a2e43f5 \ + --hash=sha256:73e7d2e3d2d67e25d9d0f2bf46768650a57306a0587bbcdbfe2f4eac504248d2 \ + --hash=sha256:75585278b2e3cd1a866bc2a95be7e0ab53c51c35c9e0e75161ff4f30817b3da8 \ + --hash=sha256:83143b41bde2eb010c7056f142cb764cfbf77f16bf78bda2323a160767455cf5 \ + --hash=sha256:8714a3f2c093aeda3ffdb14c03571d349cb3ed1b8b461d9f321890659f4a5dbf \ + --hash=sha256:888e34d2e53d0f1dab85ff3e5ca81b8b7949b9e4702439f66f4ebf61189eb923 \ + --hash=sha256:88b5e6cc958907dd6a13d3f8179683c275f57142de95d0d652a54c8275e03a8b \ + --hash=sha256:8a681433e2f3d4b326d8b36b3e05b787b2c6dd2a5660a4a12527622278bf02ed \ + --hash=sha256:8d1d0db89c1c8f3282eac9a22fda2b4082e1ed62a2107f70e3f1de1872c7919f \ + --hash=sha256:91f19a8a6899c27867dbdace9500f337d3e891a610708e86078915f1d779bf53 \ + --hash=sha256:93926aacdb0f4289b558f213bc32c03578f3432a18b09e4b6d73a716839d7a74 \ + --hash=sha256:96578fc4a5707b5535d1c25a89e72583e02aafe64d14f3b4d78f9c512c6d613c \ + --hash=sha256:97cd2ab03d303fd57dea4f6d9c2ab23b7193846f1b3bbb4c80b315ebb5fc8527 \ + --hash=sha256:9ac30c38d86d888b42bb2ab2738ab9881199609e9fa9a153eb0c66fc9188c6cb \ + --hash=sha256:9b50d9daded5d36193d67e2fc30e59752262fcbbdc86e8222c7df6b93af0346a \ + --hash=sha256:9c7a0c11afc1fe2c8338e5ccfd7ffdab063b84ace8b9656b5b3bc1614ee8a234 \ + --hash=sha256:9d477ae1f5d42e1ee6abbe520a2e9c7f369781c3b8ca111d1f5283c1453bc825 \ + --hash=sha256:9d54b8e9a44890159ae36ba4ae44efd8bb79ff519055137a340d357538a68aa3 \ + --hash=sha256:9f5514890bbb54a7c35fb66120c7659040182d54e735fe717642b67340b8131a \ + --hash=sha256:9f707dbdaad78dafe6444ee0977cbbaefa16ad10ab290d75709170d124bac4c8 \ + --hash=sha256:a3ba0aa08f5eaa7165bf90fb06adf124511dbdf517500ab0793883f648feaaf8 \ + --hash=sha256:a4bca1151b8cd207eef6d5cb3c720c562b2aa7293cf113a68874e235cfa19c31 \ + --hash=sha256:a85c0cdf16559c9cfa3e2145c16bfe5e1c3115d0cb3b143d41fb68412888171f \ + --hash=sha256:aaa7aebf4fe0d33a3f9f8945061f5374557c9f7baa3c636bfe25ac352167be9c \ + --hash=sha256:b11f38b74bab75282db66226197024a731250dcbe25542fd4e85ac5313547332 \ + --hash=sha256:b4ac86f8d4ddd112bd63aa9f3c7b73c62d16b33fca414f809e8465bbed2580a3 \ + --hash=sha256:b7e41687c74e8fbe6a665458bbaea0c5a75342a95e2583738364a73bcbf1671b \ + --hash=sha256:b8b86815a30e026c6677b89a5a21ba5fd7b69accf8f0e9b83bac123e4e9f3b31 \ + --hash=sha256:be2ade1516fdc7b7fb3d73e6f8d8bf2ce5b4e2e0933a5465a86d40dfa1423488 \ + --hash=sha256:be593e78cf4a7cbdbe361823fb35e1e0963d1a490cf90c8b6c680a30114b1a10 \ + --hash=sha256:be64c5583884c407fc748dedbcb083475d5b138afb23c6bc0836cbad228402cc \ + --hash=sha256:c3ea5da20f4023cf40207ce15f5f4028377ffffdba3adfb60b4c8f34925fce79 \ + --hash=sha256:c9d83bf2c274aed601e8b5320789e54661c240a831533e73a290da27d1c046f1 \ + --hash=sha256:c9db12e764ec1a4648d67b1501f7001e30f92e05a1692a75920ab53670c4958b \ + --hash=sha256:d1e73172fed40c1d0e4f79fd15d357ead2161371b2ecdc82d626f143c29c8175 \ + --hash=sha256:d693d1f63ae6a794074ec1f475e3e3f607c52242f3799479fc483207b5c02ff0 \ + --hash=sha256:d8bde667d0ce46065fe57f8ff24b2e94f620a5747378c97314dcfc8fbab35b73 \ + --hash=sha256:dbb28455bb5d82ca3024f9eb7d65c8ff6707394b584519def497b5eb9e5b1222 \ + --hash=sha256:e02e0e9ef2e45475cf33816c8fb2e24595650bcf259e7b15b515a7b49cae1ccf \ + --hash=sha256:e16113d80bc270c465590ba297d4be8f26906ca8ae8419dc86520982c4099036 \ + --hash=sha256:e310f6313ccba476dc1f393fd40738ca3b7fa3bb41c31c38f9641b1927306ba2 \ + --hash=sha256:e657db5a8c9498dee394db1e12085eda4b9cf7b682466364aae52765b930a884 \ + --hash=sha256:e9ba526e07ccaf4f1c2cd3395dda221139f01468b6eee1190d4a616f187a0378 \ + --hash=sha256:ea87c25e933991366049a42c88e91ad20c2b72e11c7bd38ef68f80486ab63cb2 \ + --hash=sha256:ec4d1aa08569b7eb075942caeacabefee469a0e283c96c7aac0226d5e7598fe8 \ + --hash=sha256:ecf830cdcd1d4d28463c8e0c48f7f5fb06f3c952fff875da279385554d1d4d65 \ + --hash=sha256:ed35391ad697d6cda43c94087f59310f028c3e9fb229e435281a92509469c627 \ + --hash=sha256:fac2635f68b3b6752c2a576833d9d18f0af50bdd4bd7dd2d2ca753e3b8add84c \ + --hash=sha256:fad0666d34122b5ad6de2715c0597b23eab523cc57caf38294138249805da15f \ + --hash=sha256:fb8f6a18f1b5e37724111abbd3edf25f8f00e43dc261b11b10686e17688d2405 \ + --hash=sha256:fccc2023a89dfbce2e1b1409b967011e45d41808df81b7fa0259397db79ba647 \ + --hash=sha256:fe705e7656bc6982a463a4ed7f9b1db8c78c08323f1d45d0d1d77063efa0ce96 \ + --hash=sha256:fecf1b735591fb21ea124a374c207104a491ad0d772709845a10d5faa07fa833 \ + --hash=sha256:ffe87eb7f1956357c2144a56814b5ffc927cbb8932f143a0351c78b93129ebbc + # via locust +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # anyscale + # wandb +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-apitools==0.5.32 \ + --hash=sha256:b78f74116558e0476e19501b5b4b2ac7c93261a69c5449c861ea95cbc853c688 \ + --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 + # via + # -c python/requirements_compiled.txt + # gsutil +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # anyscale + # gcsfs + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-auth-oauthlib + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage + # gsutil +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # google-api-python-client +google-auth-oauthlib==1.0.0 \ + --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ + --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 + # via + # -c python/requirements_compiled.txt + # gcsfs +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # anyscale + # gcsfs + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-reauth==0.1.1 \ + --hash=sha256:cb39074488d74c8853074dde47368bbf8f739d4a4338b89aab696c895b6d8368 \ + --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +greenlet==3.0.1 ; python_full_version < '3.11' and platform_python_implementation == 'CPython' \ + --hash=sha256:0a02d259510b3630f330c86557331a3b0e0c79dac3d166e449a39363beaae174 \ + --hash=sha256:0b6f9f8ca7093fd4433472fd99b5650f8a26dcd8ba410e14094c1e44cd3ceddd \ + --hash=sha256:100f78a29707ca1525ea47388cec8a049405147719f47ebf3895e7509c6446aa \ + --hash=sha256:1757936efea16e3f03db20efd0cd50a1c86b06734f9f7338a90c4ba85ec2ad5a \ + --hash=sha256:19075157a10055759066854a973b3d1325d964d498a805bb68a1f9af4aaef8ec \ + --hash=sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565 \ + --hash=sha256:20107edf7c2c3644c67c12205dc60b1bb11d26b2610b276f97d666110d1b511d \ + --hash=sha256:22f79120a24aeeae2b4471c711dcf4f8c736a2bb2fabad2a67ac9a55ea72523c \ + --hash=sha256:2847e5d7beedb8d614186962c3d774d40d3374d580d2cbdab7f184580a39d234 \ + --hash=sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d \ + --hash=sha256:329c5a2e5a0ee942f2992c5e3ff40be03e75f745f48847f118a3cfece7a28546 \ + --hash=sha256:337322096d92808f76ad26061a8f5fccb22b0809bea39212cd6c406f6a7060d2 \ + --hash=sha256:3fcc780ae8edbb1d050d920ab44790201f027d59fdbd21362340a85c79066a74 \ + --hash=sha256:41bdeeb552d814bcd7fb52172b304898a35818107cc8778b5101423c9017b3de \ + --hash=sha256:4eddd98afc726f8aee1948858aed9e6feeb1758889dfd869072d4465973f6bfd \ + --hash=sha256:52e93b28db27ae7d208748f45d2db8a7b6a380e0d703f099c949d0f0d80b70e9 \ + --hash=sha256:55d62807f1c5a1682075c62436702aaba941daa316e9161e4b6ccebbbf38bda3 \ + --hash=sha256:5805e71e5b570d490938d55552f5a9e10f477c19400c38bf1d5190d760691846 \ + --hash=sha256:599daf06ea59bfedbec564b1692b0166a0045f32b6f0933b0dd4df59a854caf2 \ + --hash=sha256:60d5772e8195f4e9ebf74046a9121bbb90090f6550f81d8956a05387ba139353 \ + --hash=sha256:696d8e7d82398e810f2b3622b24e87906763b6ebfd90e361e88eb85b0e554dc8 \ + --hash=sha256:6e6061bf1e9565c29002e3c601cf68569c450be7fc3f7336671af7ddb4657166 \ + --hash=sha256:80ac992f25d10aaebe1ee15df45ca0d7571d0f70b645c08ec68733fb7a020206 \ + --hash=sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b \ + --hash=sha256:85d2b77e7c9382f004b41d9c72c85537fac834fb141b0296942d52bf03fe4a3d \ + --hash=sha256:87c8ceb0cf8a5a51b8008b643844b7f4a8264a2c13fcbcd8a8316161725383fe \ + --hash=sha256:89ee2e967bd7ff85d84a2de09df10e021c9b38c7d91dead95b406ed6350c6997 \ + --hash=sha256:8bef097455dea90ffe855286926ae02d8faa335ed8e4067326257cb571fc1445 \ + --hash=sha256:8d11ebbd679e927593978aa44c10fc2092bc454b7d13fdc958d3e9d508aba7d0 \ + --hash=sha256:91e6c7db42638dc45cf2e13c73be16bf83179f7859b07cfc139518941320be96 \ + --hash=sha256:97e7ac860d64e2dcba5c5944cfc8fa9ea185cd84061c623536154d5a89237884 \ + --hash=sha256:990066bff27c4fcf3b69382b86f4c99b3652bab2a7e685d968cd4d0cfc6f67c6 \ + --hash=sha256:9fbc5b8f3dfe24784cee8ce0be3da2d8a79e46a276593db6868382d9c50d97b1 \ + --hash=sha256:ac4a39d1abae48184d420aa8e5e63efd1b75c8444dd95daa3e03f6c6310e9619 \ + --hash=sha256:b2c02d2ad98116e914d4f3155ffc905fd0c025d901ead3f6ed07385e19122c94 \ + --hash=sha256:b2d3337dcfaa99698aa2377c81c9ca72fcd89c07e7eb62ece3f23a3fe89b2ce4 \ + --hash=sha256:b489c36d1327868d207002391f662a1d163bdc8daf10ab2e5f6e41b9b96de3b1 \ + --hash=sha256:b641161c302efbb860ae6b081f406839a8b7d5573f20a455539823802c655f63 \ + --hash=sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd \ + --hash=sha256:b9934adbd0f6e476f0ecff3c94626529f344f57b38c9a541f87098710b18af0a \ + --hash=sha256:ce85c43ae54845272f6f9cd8320d034d7a946e9773c693b27d620edec825e376 \ + --hash=sha256:cf868e08690cb89360eebc73ba4be7fb461cfbc6168dd88e2fbbe6f31812cd57 \ + --hash=sha256:d2905ce1df400360463c772b55d8e2518d0e488a87cdea13dd2c71dcb2a1fa16 \ + --hash=sha256:d57e20ba591727da0c230ab2c3f200ac9d6d333860d85348816e1dca4cc4792e \ + --hash=sha256:d6a8c9d4f8692917a3dc7eb25a6fb337bff86909febe2f793ec1928cd97bedfc \ + --hash=sha256:d923ff276f1c1f9680d32832f8d6c040fe9306cbfb5d161b0911e9634be9ef0a \ + --hash=sha256:daa7197b43c707462f06d2c693ffdbb5991cbb8b80b5b984007de431493a319c \ + --hash=sha256:dbd4c177afb8a8d9ba348d925b0b67246147af806f0b104af4d24f144d461cd5 \ + --hash=sha256:dc4d815b794fd8868c4d67602692c21bf5293a75e4b607bb92a11e821e2b859a \ + --hash=sha256:e9d21aaa84557d64209af04ff48e0ad5e28c5cca67ce43444e939579d085da72 \ + --hash=sha256:ea6b8aa9e08eea388c5f7a276fabb1d4b6b9d6e4ceb12cc477c3d352001768a9 \ + --hash=sha256:eabe7090db68c981fca689299c2d116400b553f4b713266b130cfc9e2aa9c5a9 \ + --hash=sha256:f2f6d303f3dee132b322a14cd8765287b8f86cdc10d2cb6a6fae234ea488888e \ + --hash=sha256:f33f3258aae89da191c6ebaa3bc517c6c4cbc9b9f689e5d8452f7aedbb913fa8 \ + --hash=sha256:f7bfb769f7efa0eefcd039dd19d843a4fbfbac52f1878b1da2ed5793ec9b1a65 \ + --hash=sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064 \ + --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 + # via + # -c python/requirements_compiled.txt + # gevent +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.74.0 \ + --hash=sha256:0f87bddd6e27fc776aacf7ebfec367b6d49cad0455123951e4488ea99d9b9b8f \ + --hash=sha256:136b53c91ac1d02c8c24201bfdeb56f8b3ac3278668cbb8e0ba49c88069e1bdc \ + --hash=sha256:1733969040989f7acc3d94c22f55b4a9501a30f6aaacdbccfaba0a3ffb255ab7 \ + --hash=sha256:176d60a5168d7948539def20b2a3adcce67d72454d9ae05969a2e73f3a0feee7 \ + --hash=sha256:1a2b06afe2e50ebfd46247ac3ba60cac523f54ec7792ae9ba6073c12daf26f0a \ + --hash=sha256:1bf949792cee20d2078323a9b02bacbbae002b9e3b9e2433f2741c15bdeba1c4 \ + --hash=sha256:22b834cef33429ca6cc28303c9c327ba9a3fafecbf62fae17e9a7b7163cc43ac \ + --hash=sha256:2918948864fec2a11721d91568effffbe0a02b23ecd57f281391d986847982f6 \ + --hash=sha256:2bc2d7d8d184e2362b53905cb1708c84cb16354771c04b490485fa07ce3a1d89 \ + --hash=sha256:2f609a39f62a6f6f05c7512746798282546358a37ea93c1fcbadf8b2fed162e3 \ + --hash=sha256:3601274bc0523f6dc07666c0e01682c94472402ac2fd1226fd96e079863bfa49 \ + --hash=sha256:3b03d8f2a07f0fea8c8f74deb59f8352b770e3900d143b3d1475effcb08eec20 \ + --hash=sha256:3d14e3c4d65e19d8430a4e28ceb71ace4728776fd6c3ce34016947474479683f \ + --hash=sha256:42f8fee287427b94be63d916c90399ed310ed10aadbf9e2e5538b3e497d269bc \ + --hash=sha256:4bc5fca10aaf74779081e16c2bcc3d5ec643ffd528d9e7b1c9039000ead73bae \ + --hash=sha256:4e4181bfc24413d1e3a37a0b7889bea68d973d4b45dd2bc68bb766c140718f82 \ + --hash=sha256:55b453812fa7c7ce2f5c88be3018fb4a490519b6ce80788d5913f3f9d7da8c7b \ + --hash=sha256:566b9395b90cc3d0d0c6404bc8572c7c18786ede549cdb540ae27b58afe0fb91 \ + --hash=sha256:5f251c355167b2360537cf17bea2cf0197995e551ab9da6a0a59b3da5e8704f9 \ + --hash=sha256:60d2d48b0580e70d2e1954d0d19fa3c2e60dd7cbed826aca104fff518310d1c5 \ + --hash=sha256:64229c1e9cea079420527fa8ac45d80fc1e8d3f94deaa35643c381fa8d98f362 \ + --hash=sha256:655726919b75ab3c34cdad39da5c530ac6fa32696fb23119e36b64adcfca174a \ + --hash=sha256:662456c4513e298db6d7bd9c3b8df6f75f8752f0ba01fb653e252ed4a59b5a5d \ + --hash=sha256:68c8ebcca945efff9d86d8d6d7bfb0841cf0071024417e2d7f45c5e46b5b08eb \ + --hash=sha256:69e1a8180868a2576f02356565f16635b99088da7df3d45aaa7e24e73a054e31 \ + --hash=sha256:6bab67d15ad617aff094c382c882e0177637da73cbc5532d52c07b4ee887a87b \ + --hash=sha256:7d95d71ff35291bab3f1c52f52f474c632db26ea12700c2ff0ea0532cb0b5854 \ + --hash=sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1 \ + --hash=sha256:834988b6c34515545b3edd13e902c1acdd9f2465d386ea5143fb558f153a7176 \ + --hash=sha256:8533e6e9c5bd630ca98062e3a1326249e6ada07d05acf191a77bc33f8948f3d8 \ + --hash=sha256:85bd5cdf4ed7b2d6438871adf6afff9af7096486fcf51818a81b77ef4dd30907 \ + --hash=sha256:86ad489db097141a907c559988c29718719aa3e13370d40e20506f11b4de0d11 \ + --hash=sha256:885912559974df35d92219e2dc98f51a16a48395f37b92865ad45186f294096c \ + --hash=sha256:8efe72fde5500f47aca1ef59495cb59c885afe04ac89dd11d810f2de87d935d4 \ + --hash=sha256:8f7b5882fb50632ab1e48cb3122d6df55b9afabc265582808036b6e51b9fd6b7 \ + --hash=sha256:9e7c4389771855a92934b2846bd807fc25a3dfa820fd912fe6bd8136026b2707 \ + --hash=sha256:9e912d3c993a29df6c627459af58975b2e5c897d93287939b9d5065f000249b5 \ + --hash=sha256:a8f0302f9ac4e9923f98d8e243939a6fb627cd048f5cd38595c97e38020dffce \ + --hash=sha256:b6a73b2ba83e663b2480a90b82fdae6a7aa6427f62bf43b29912c0cfd1aa2bfa \ + --hash=sha256:c14e803037e572c177ba54a3e090d6eb12efd795d49327c5ee2b3bddb836bf01 \ + --hash=sha256:c3d7bd6e3929fd2ea7fbc3f562e4987229ead70c9ae5f01501a46701e08f1ad9 \ + --hash=sha256:c98e0b7434a7fa4e3e63f250456eaef52499fba5ae661c58cc5b5477d11e7182 \ + --hash=sha256:cce634b10aeab37010449124814b05a62fb5f18928ca878f1bf4750d1f0c815b \ + --hash=sha256:e154d230dc1bbbd78ad2fdc3039fa50ad7ffcf438e4eb2fa30bce223a70c7486 \ + --hash=sha256:e1ea6176d7dfd5b941ea01c2ec34de9531ba494d541fe2057c904e601879f249 \ + --hash=sha256:e759f9e8bc908aaae0412642afe5416c9f983a80499448fcc7fab8692ae044c3 \ + --hash=sha256:e8978003816c7b9eabe217f88c78bc26adc8f9304bf6a594b02e5a49b2ef9c11 \ + --hash=sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa \ + --hash=sha256:f6ec94f0e50eb8fa1744a731088b966427575e40c2944a980049798b127a687e \ + --hash=sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24 \ + --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +gsutil==5.27 \ + --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # uvicorn +hjson==3.1.0 \ + --hash=sha256:55af475a27cf83a7969c808399d7bccdec8fb836a07ddbd574587593b9cdcf75 \ + --hash=sha256:65713cdcf13214fb554eb8b4ef803419733f4f5e551047c9b711098ab7186b89 + # via + # -c python/requirements_compiled.txt + # deepspeed +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-api-python-client + # google-apitools + # google-auth-httplib2 + # gsutil + # oauth2client +huggingface-hub==0.27.0 \ + --hash=sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81 \ + --hash=sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac + # via + # -c python/requirements_compiled.txt + # accelerate + # datasets + # diffusers + # evaluate + # peft + # tokenizers + # transformers +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # anyio + # jsonschema + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # diffusers +iniconfig==2.0.0 \ + --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ + --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 + # via + # -c python/requirements_compiled.txt + # pytest +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # jsonschema +itsdangerous==2.1.2 \ + --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ + --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a + # via + # -c python/requirements_compiled.txt + # flask +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # flask + # fugue + # fugue-sql-antlr + # jupyter-server + # jupyterlab + # jupyterlab-server + # memray + # nbclassic + # nbconvert + # notebook + # torch +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # boto3 + # botocore +joblib==1.2.0 \ + --hash=sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 \ + --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 + # via + # -c python/requirements_compiled.txt + # nltk + # scikit-learn +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # jupyterlab-server +jsonlines==4.0.0 \ + --hash=sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74 \ + --hash=sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55 + # via lm-eval +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # ipywidgets +jupytext==1.16.3 \ + --hash=sha256:1ebac990461dd9f477ff7feec9e3003fa1acc89f3c16ba01b73f79fd76f01a98 \ + --hash=sha256:870e0d7a716dcb1303df6ad1cec65e3315a20daedd808a55cb3dae2d56e4ed20 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +kiwisolver==1.4.5 \ + --hash=sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf \ + --hash=sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e \ + --hash=sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af \ + --hash=sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f \ + --hash=sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046 \ + --hash=sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3 \ + --hash=sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5 \ + --hash=sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71 \ + --hash=sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee \ + --hash=sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3 \ + --hash=sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9 \ + --hash=sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b \ + --hash=sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985 \ + --hash=sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea \ + --hash=sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16 \ + --hash=sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89 \ + --hash=sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c \ + --hash=sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9 \ + --hash=sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712 \ + --hash=sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342 \ + --hash=sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a \ + --hash=sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958 \ + --hash=sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d \ + --hash=sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a \ + --hash=sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130 \ + --hash=sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff \ + --hash=sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898 \ + --hash=sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b \ + --hash=sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f \ + --hash=sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265 \ + --hash=sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93 \ + --hash=sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929 \ + --hash=sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635 \ + --hash=sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709 \ + --hash=sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b \ + --hash=sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb \ + --hash=sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a \ + --hash=sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920 \ + --hash=sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e \ + --hash=sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544 \ + --hash=sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45 \ + --hash=sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390 \ + --hash=sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77 \ + --hash=sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355 \ + --hash=sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff \ + --hash=sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4 \ + --hash=sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7 \ + --hash=sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20 \ + --hash=sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c \ + --hash=sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162 \ + --hash=sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228 \ + --hash=sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437 \ + --hash=sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc \ + --hash=sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a \ + --hash=sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901 \ + --hash=sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4 \ + --hash=sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770 \ + --hash=sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525 \ + --hash=sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad \ + --hash=sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a \ + --hash=sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29 \ + --hash=sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90 \ + --hash=sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250 \ + --hash=sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d \ + --hash=sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3 \ + --hash=sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54 \ + --hash=sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f \ + --hash=sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1 \ + --hash=sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da \ + --hash=sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238 \ + --hash=sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa \ + --hash=sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523 \ + --hash=sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0 \ + --hash=sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205 \ + --hash=sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3 \ + --hash=sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4 \ + --hash=sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac \ + --hash=sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9 \ + --hash=sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb \ + --hash=sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced \ + --hash=sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd \ + --hash=sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0 \ + --hash=sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da \ + --hash=sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18 \ + --hash=sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9 \ + --hash=sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276 \ + --hash=sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333 \ + --hash=sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b \ + --hash=sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db \ + --hash=sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126 \ + --hash=sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9 \ + --hash=sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09 \ + --hash=sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0 \ + --hash=sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec \ + --hash=sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7 \ + --hash=sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff \ + --hash=sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9 \ + --hash=sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192 \ + --hash=sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8 \ + --hash=sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d \ + --hash=sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6 \ + --hash=sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797 \ + --hash=sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892 \ + --hash=sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f + # via + # -c python/requirements_compiled.txt + # matplotlib +lightning-utilities==0.11.2 \ + --hash=sha256:541f471ed94e18a28d72879338c8c52e873bb46f4c47644d89228faeb6751159 \ + --hash=sha256:adf4cf9c5d912fe505db4729e51d1369c6927f3a8ac55a9dff895ce5c0da08d9 + # via + # -c python/requirements_compiled.txt + # pytorch-lightning +llvmlite==0.42.0 \ + --hash=sha256:05cb7e9b6ce69165ce4d1b994fbdedca0c62492e537b0cc86141b6e2c78d5888 \ + --hash=sha256:08fa9ab02b0d0179c688a4216b8939138266519aaa0aa94f1195a8542faedb56 \ + --hash=sha256:3366938e1bf63d26c34fbfb4c8e8d2ded57d11e0567d5bb243d89aab1eb56098 \ + --hash=sha256:43d65cc4e206c2e902c1004dd5418417c4efa6c1d04df05c6c5675a27e8ca90e \ + --hash=sha256:70f44ccc3c6220bd23e0ba698a63ec2a7d3205da0d848804807f37fc243e3f77 \ + --hash=sha256:763f8d8717a9073b9e0246998de89929071d15b47f254c10eef2310b9aac033d \ + --hash=sha256:7e0c4c11c8c2aa9b0701f91b799cb9134a6a6de51444eff5a9087fc7c1384275 \ + --hash=sha256:81e674c2fe85576e6c4474e8c7e7aba7901ac0196e864fe7985492b737dbab65 \ + --hash=sha256:8d90edf400b4ceb3a0e776b6c6e4656d05c7187c439587e06f86afceb66d2be5 \ + --hash=sha256:a78ab89f1924fc11482209f6799a7a3fc74ddc80425a7a3e0e8174af0e9e2301 \ + --hash=sha256:ae511caed28beaf1252dbaf5f40e663f533b79ceb408c874c01754cafabb9cbf \ + --hash=sha256:b2fce7d355068494d1e42202c7aff25d50c462584233013eb4470c33b995e3ee \ + --hash=sha256:bb3975787f13eb97629052edb5017f6c170eebc1c14a0433e8089e5db43bcce6 \ + --hash=sha256:bdd3888544538a94d7ec99e7c62a0cdd8833609c85f0c23fcb6c5c591aec60ad \ + --hash=sha256:c35da49666a21185d21b551fc3caf46a935d54d66969d32d72af109b5e7d2b6f \ + --hash=sha256:c5bece0cdf77f22379f19b1959ccd7aee518afa4afbd3656c6365865f84903f9 \ + --hash=sha256:d0936c2067a67fb8816c908d5457d63eba3e2b17e515c5fe00e5ee2bace06040 \ + --hash=sha256:d47494552559e00d81bfb836cf1c4d5a5062e54102cc5767d5aa1e77ccd2505c \ + --hash=sha256:d7599b65c7af7abbc978dbf345712c60fd596aa5670496561cc10e8a71cebfb2 \ + --hash=sha256:ebe66a86dc44634b59a3bc860c7b20d26d9aaffcd30364ebe8ba79161a9121f4 \ + --hash=sha256:f92b09243c0cc3f457da8b983f67bd8e1295d0f5b3746c7a1861d7a99403854a + # via + # -c python/requirements_compiled.txt + # numba +lm-eval==0.4.0 \ + --hash=sha256:2dac56039b191c2dfb0011329ec9082e474006a15575db45468b88753923b34b + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +locust==2.18.0 \ + --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ + --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # nbconvert + # sacrebleu +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # jupytext + # mdit-py-plugins + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # jinja2 + # nbconvert + # werkzeug +matplotlib==3.7.4 \ + --hash=sha256:0037d066cca1f4bda626c507cddeb6f7da8283bc6a214da2db13ff2162933c52 \ + --hash=sha256:0604880e4327114054199108b7390f987f4f40ee5ce728985836889e11a780ba \ + --hash=sha256:08372696b3bb45c563472a552a705bfa0942f0a8ffe084db8a4e8f9153fbdf9d \ + --hash=sha256:0c698b33f9a3f0b127a8e614c8fb4087563bb3caa9c9d95298722fa2400cdd3f \ + --hash=sha256:116ef0b43aa00ff69260b4cce39c571e4b8c6f893795b708303fa27d9b9d7548 \ + --hash=sha256:1707b20b25e90538c2ce8d4409e30f0ef1df4017cc65ad0439633492a973635b \ + --hash=sha256:1e6abcde6fc52475f9d6a12b9f1792aee171ce7818ef6df5d61cb0b82816e6e8 \ + --hash=sha256:24b8f28af3e766195c09b780b15aa9f6710192b415ae7866b9c03dee7ec86370 \ + --hash=sha256:286332f8f45f8ffde2d2119b9fdd42153dccd5025fa9f451b4a3b5c086e26da5 \ + --hash=sha256:32183d4be84189a4c52b4b8861434d427d9118db2cec32986f98ed6c02dcfbb6 \ + --hash=sha256:3640f33632beb3993b698b1be9d1c262b742761d6101f3c27b87b2185d25c875 \ + --hash=sha256:390920a3949906bc4b0216198d378f2a640c36c622e3584dd0c79a7c59ae9f50 \ + --hash=sha256:3c557d9165320dff3c5f2bb99bfa0b6813d3e626423ff71c40d6bc23b83c3339 \ + --hash=sha256:3fa193286712c3b6c3cfa5fe8a6bb563f8c52cc750006c782296e0807ce5e799 \ + --hash=sha256:44856632ebce88abd8efdc0a0dceec600418dcac06b72ae77af0019d260aa243 \ + --hash=sha256:55eec941a4743f0bd3e5b8ee180e36b7ea8e62f867bf2613937c9f01b9ac06a2 \ + --hash=sha256:5661c8639aded7d1bbf781373a359011cb1dd09199dee49043e9e68dd16f07ba \ + --hash=sha256:568574756127791903604e315c11aef9f255151e4cfe20ec603a70f9dda8e259 \ + --hash=sha256:5c9133f230945fe10652eb33e43642e933896194ef6a4f8d5e79bb722bdb2000 \ + --hash=sha256:62e094d8da26294634da9e7f1856beee3978752b1b530c8e1763d2faed60cc10 \ + --hash=sha256:632fc938c22117d4241411191cfb88ac264a4c0a9ac702244641ddf30f0d739c \ + --hash=sha256:798ff59022eeb276380ce9a73ba35d13c3d1499ab9b73d194fd07f1b0a41c304 \ + --hash=sha256:7a7709796ac59fe8debde68272388be6ed449c8971362eb5b60d280eac8dadde \ + --hash=sha256:7a9981b2a2dd9da06eca4ab5855d09b54b8ce7377c3e0e3957767b83219d652d \ + --hash=sha256:7cd4fef8187d1dd0d9dcfdbaa06ac326d396fb8c71c647129f0bf56835d77026 \ + --hash=sha256:7d479aac338195e2199a8cfc03c4f2f55914e6a120177edae79e0340a6406457 \ + --hash=sha256:7dfe6821f1944cb35603ff22e21510941bbcce7ccf96095beffaac890d39ce77 \ + --hash=sha256:81e1a7ac818000e8ac3ca696c3fdc501bc2d3adc89005e7b4e22ee5e9d51de98 \ + --hash=sha256:83859ac26839660ecd164ee8311272074250b915ac300f9b2eccc84410f8953b \ + --hash=sha256:8e6227ca8492baeef873cdd8e169a318efb5c3a25ce94e69727e7f964995b0b1 \ + --hash=sha256:ab16868714e5cc90ec8f7ff5d83d23bcd6559224d8e9cb5227c9f58748889fe8 \ + --hash=sha256:b167f54cb4654b210c9624ec7b54e2b3b8de68c93a14668937e7e53df60770ec \ + --hash=sha256:b1d70bc1ea1bf110bec64f4578de3e14947909a8887df4c1fd44492eca487955 \ + --hash=sha256:b71079239bd866bf56df023e5146de159cb0c7294e508830901f4d79e2d89385 \ + --hash=sha256:be3493bbcb4d255cb71de1f9050ac71682fce21a56089eadbcc8e21784cb12ee \ + --hash=sha256:bf91a42f6274a64cb41189120b620c02e574535ff6671fa836cade7701b06fbd \ + --hash=sha256:c83f49e795a5de6c168876eea723f5b88355202f9603c55977f5356213aa8280 \ + --hash=sha256:c90590d4b46458677d80bc3218f3f1ac11fc122baa9134e0cb5b3e8fc3714052 \ + --hash=sha256:ce163be048613b9d1962273708cc97e09ca05d37312e670d166cf332b80bbaff \ + --hash=sha256:de7c07069687be64fd9d119da3122ba13a8d399eccd3f844815f0dc78a870b2c \ + --hash=sha256:e4dfee00aa4bd291e08bb9461831c26ce0da85ca9781bb8794f2025c6e925281 \ + --hash=sha256:e680f49bb8052ba3b2698e370155d2b4afb49f9af1cc611a26579d5981e2852a \ + --hash=sha256:f59a70e2ec3212033ef6633ed07682da03f5249379722512a3a2a26a7d9a738e \ + --hash=sha256:f757e8b42841d6add0cb69b42497667f0d25a404dcd50bd923ec9904e38414c4 \ + --hash=sha256:f8c725d1dd2901b2e7ec6cd64165e00da2978cc23d4143cb9ef745bec88e6b04 \ + --hash=sha256:f8fc2df756105784e650605e024d36dc2d048d68e5c1b26df97ee25d1bd41f9f \ + --hash=sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # ipykernel + # ipython +mbstrdecoder==1.1.4 \ + --hash=sha256:03dae4ec50ec0d2ff4743e63fdbd5e0022815857494d35224b60775d3d934a8c \ + --hash=sha256:8105ef9cf6b7d7d69fe7fd6b68a2d8f281ca9b365d7a9b670be376b2e6c81b21 + # via + # dataproperty + # pytablewriter + # typepy +mdit-py-plugins==0.3.5 \ + --hash=sha256:ca9a0714ea59a24b2b044a1831f48d817dd0c817e84339f20e7889f392d77c4e \ + --hash=sha256:eee0adc7195e5827e17e02d2a258a2ba159944a0748f59c5099a4a27f78fcf6a + # via + # -c python/requirements_compiled.txt + # jupytext +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # nbconvert +modin==0.22.2 \ + --hash=sha256:532fe0bfb2dcf06c0ad2d467721ef489fd58bb3ef7150bcf4a7ddd1069be1e4d \ + --hash=sha256:fa897dc59d5b9a8496be044185689fdd337b9f26cc81c4144b217a2a94d029bc + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +monotonic==1.6 \ + --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ + --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c + # via + # -c python/requirements_compiled.txt + # gsutil +more-itertools==10.7.0 \ + --hash=sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3 \ + --hash=sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e + # via + # -c python/requirements_compiled.txt + # openai-whisper +mpmath==1.3.0 \ + --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c + # via + # -c python/requirements_compiled.txt + # sympy +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # azure-identity +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # locust +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +multiprocess==0.70.15 \ + --hash=sha256:0eac53214d664c49a34695e5824872db4006b1a465edd7459a251809c3773370 \ + --hash=sha256:134f89053d82c9ed3b73edd3a2531eb791e602d4f4156fc92a79259590bd9670 \ + --hash=sha256:18f9f2c7063346d1617bd1684fdcae8d33380ae96b99427260f562e1a1228b67 \ + --hash=sha256:1a51dd34096db47fb21fa2b839e615b051d51b97af9a67afbcdaa67186b44883 \ + --hash=sha256:20e024018c46d0d1602024c613007ac948f9754659e3853b0aa705e83f6931d8 \ + --hash=sha256:3e0953f5d52b4c76f1c973eaf8214554d146f2be5decb48e928e55c7a2d19338 \ + --hash=sha256:4271647bd8a49c28ecd6eb56a7fdbd3c212c45529ad5303b40b3c65fc6928e5f \ + --hash=sha256:73db2e7b32dcc7f9b0f075c2ffa45c90b6729d3f1805f27e88534c8d321a1be5 \ + --hash=sha256:7dd58e33235e83cf09d625e55cffd7b0f0eede7ee9223cdd666a87624f60c21a \ + --hash=sha256:aa36c7ed16f508091438687fe9baa393a7a8e206731d321e443745e743a0d4e5 \ + --hash=sha256:bee9afba476c91f9ebee7beeee0601face9eff67d822e893f9a893725fbd6316 \ + --hash=sha256:cf981fb998d6ec3208cb14f0cf2e9e80216e834f5d51fd09ebc937c32b960902 \ + --hash=sha256:e576062981c91f0fe8a463c3d52506e598dfc51320a8dd8d78b987dfca91c5db \ + --hash=sha256:e73f497e6696a0f5433ada2b3d599ae733b87a6e8b008e387c62ac9127add177 \ + --hash=sha256:f20eed3036c0ef477b07a4177cf7c1ba520d9a2677870a4f47fe026f0cd6787e \ + --hash=sha256:f7d4a1629bccb433114c3b4885f69eccc200994323c80f6feee73b0edc9199c5 + # via + # -c python/requirements_compiled.txt + # datasets + # evaluate +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # jupytext + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +networkx==3.2.1 \ + --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 + # via + # -c python/requirements_compiled.txt + # torch +ninja==1.11.1.1 \ + --hash=sha256:18302d96a5467ea98b68e1cae1ae4b4fb2b2a56a82b955193c637557c7273dbd \ + --hash=sha256:185e0641bde601e53841525c4196278e9aaf4463758da6dd1e752c0a0f54136a \ + --hash=sha256:376889c76d87b95b5719fdd61dd7db193aa7fd4432e5d52d2e44e4c497bdbbee \ + --hash=sha256:3e0f9be5bb20d74d58c66cc1c414c3e6aeb45c35b0d0e41e8d739c2c0d57784f \ + --hash=sha256:73b93c14046447c7c5cc892433d4fae65d6364bec6685411cb97a8bcf815f93a \ + --hash=sha256:7563ce1d9fe6ed5af0b8dd9ab4a214bf4ff1f2f6fd6dc29f480981f0f8b8b249 \ + --hash=sha256:76482ba746a2618eecf89d5253c0d1e4f1da1270d41e9f54dfbd91831b0f6885 \ + --hash=sha256:84502ec98f02a037a169c4b0d5d86075eaf6afc55e1879003d6cab51ced2ea4b \ + --hash=sha256:95da904130bfa02ea74ff9c0116b4ad266174fafb1c707aa50212bc7859aebf1 \ + --hash=sha256:9d793b08dd857e38d0b6ffe9e6b7145d7c485a42dcfea04905ca0cdb6017cc3c \ + --hash=sha256:9df724344202b83018abb45cb1efc22efd337a1496514e7e6b3b59655be85205 \ + --hash=sha256:aad34a70ef15b12519946c5633344bc775a7656d789d9ed5fdb0d456383716ef \ + --hash=sha256:d491fc8d89cdcb416107c349ad1e3a735d4c4af5e1cb8f5f727baca6350fdaea \ + --hash=sha256:ecf80cf5afd09f14dcceff28cb3f11dc90fb97c999c89307aea435889cb66877 \ + --hash=sha256:fa2ba9d74acfdfbfbcf06fad1b8282de8a7a8c481d9dee45c859a8c93fcc1082 + # via + # -c python/requirements_compiled.txt + # deepspeed +nltk==3.9.1 \ + --hash=sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1 \ + --hash=sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868 + # via rouge-score +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # nbclassic +numba==0.59.1 \ + --hash=sha256:0594b3dfb369fada1f8bb2e3045cd6c61a564c62e50cf1f86b4666bc721b3450 \ + --hash=sha256:0b77aecf52040de2a1eb1d7e314497b9e56fba17466c80b457b971a25bb1576d \ + --hash=sha256:0f68589740a8c38bb7dc1b938b55d1145244c8353078eea23895d4f82c8b9ec1 \ + --hash=sha256:1cce206a3b92836cdf26ef39d3a3242fec25e07f020cc4feec4c4a865e340569 \ + --hash=sha256:2801003caa263d1e8497fb84829a7ecfb61738a95f62bc05693fcf1733e978e4 \ + --hash=sha256:3476a4f641bfd58f35ead42f4dcaf5f132569c4647c6f1360ccf18ee4cda3990 \ + --hash=sha256:411df625372c77959570050e861981e9d196cc1da9aa62c3d6a836b5cc338966 \ + --hash=sha256:43727e7ad20b3ec23ee4fc642f5b61845c71f75dd2825b3c234390c6d8d64051 \ + --hash=sha256:4e0318ae729de6e5dbe64c75ead1a95eb01fabfe0e2ebed81ebf0344d32db0ae \ + --hash=sha256:525ef3f820931bdae95ee5379c670d5c97289c6520726bc6937a4a7d4230ba24 \ + --hash=sha256:5bf68f4d69dd3a9f26a9b23548fa23e3bcb9042e2935257b471d2a8d3c424b7f \ + --hash=sha256:649913a3758891c77c32e2d2a3bcbedf4a69f5fea276d11f9119677c45a422e8 \ + --hash=sha256:76f69132b96028d2774ed20415e8c528a34e3299a40581bae178f0994a2f370b \ + --hash=sha256:7d80bce4ef7e65bf895c29e3889ca75a29ee01da80266a01d34815918e365835 \ + --hash=sha256:8c8b4477763cb1fbd86a3be7050500229417bf60867c93e131fd2626edb02238 \ + --hash=sha256:8d51ccd7008a83105ad6a0082b6a2b70f1142dc7cfd76deb8c5a862367eb8c86 \ + --hash=sha256:9712808e4545270291d76b9a264839ac878c5eb7d8b6e02c970dc0ac29bc8187 \ + --hash=sha256:97385a7f12212c4f4bc28f648720a92514bee79d7063e40ef66c2d30600fd18e \ + --hash=sha256:990e395e44d192a12105eca3083b61307db7da10e093972ca285c85bef0963d6 \ + --hash=sha256:dd2842fac03be4e5324ebbbd4d2d0c8c0fc6e0df75c09477dd45b288a0777389 \ + --hash=sha256:f7ad1d217773e89a9845886401eaaab0a156a90aa2f179fdc125261fd1105096 + # via + # -c python/requirements_compiled.txt + # openai-whisper + # statsforecast +numexpr==2.8.4 \ + --hash=sha256:059546e8f6283ccdb47c683101a890844f667fa6d56258d48ae2ecf1b3875957 \ + --hash=sha256:17ac9cfe6d0078c5fc06ba1c1bbd20b8783f28c6f475bbabd3cad53683075cab \ + --hash=sha256:3f039321d1c17962c33079987b675fb251b273dbec0f51aac0934e932446ccc3 \ + --hash=sha256:5538b30199bfc68886d2be18fcef3abd11d9271767a7a69ff3688defe782800a \ + --hash=sha256:655d84eb09adfee3c09ecf4a89a512225da153fdb7de13c447404b7d0523a9a7 \ + --hash=sha256:6931b1e9d4f629f43c14b21d44f3f77997298bea43790cfcdb4dd98804f90783 \ + --hash=sha256:6c368aa35ae9b18840e78b05f929d3a7b3abccdba9630a878c7db74ca2368339 \ + --hash=sha256:6ee9db7598dd4001138b482342b96d78110dd77cefc051ec75af3295604dde6a \ + --hash=sha256:77898fdf3da6bb96aa8a4759a8231d763a75d848b2f2e5c5279dad0b243c8dfe \ + --hash=sha256:7bca95f4473b444428061d4cda8e59ac564dc7dc6a1dea3015af9805c6bc2946 \ + --hash=sha256:7d71add384adc9119568d7e9ffa8a35b195decae81e0abf54a2b7779852f0637 \ + --hash=sha256:845a6aa0ed3e2a53239b89c1ebfa8cf052d3cc6e053c72805e8153300078c0b1 \ + --hash=sha256:90f12cc851240f7911a47c91aaf223dba753e98e46dff3017282e633602e76a7 \ + --hash=sha256:9400781553541f414f82eac056f2b4c965373650df9694286b9bd7e8d413f8d8 \ + --hash=sha256:9e34931089a6bafc77aaae21f37ad6594b98aa1085bb8b45d5b3cd038c3c17d9 \ + --hash=sha256:9f096d707290a6a00b6ffdaf581ee37331109fb7b6c8744e9ded7c779a48e517 \ + --hash=sha256:a38664e699526cb1687aefd9069e2b5b9387da7feac4545de446141f1ef86f46 \ + --hash=sha256:a6d2d7740ae83ba5f3531e83afc4b626daa71df1ef903970947903345c37bd03 \ + --hash=sha256:a75967d46b6bd56455dd32da6285e5ffabe155d0ee61eef685bbfb8dafb2e484 \ + --hash=sha256:b076db98ca65eeaf9bd224576e3ac84c05e451c0bd85b13664b7e5f7b62e2c70 \ + --hash=sha256:b318541bf3d8326682ebada087ba0050549a16d8b3fa260dd2585d73a83d20a7 \ + --hash=sha256:b96334fc1748e9ec4f93d5fadb1044089d73fb08208fdb8382ed77c893f0be01 \ + --hash=sha256:c867cc36cf815a3ec9122029874e00d8fbcef65035c4a5901e9b120dd5d626a2 \ + --hash=sha256:d5432537418d18691b9115d615d6daa17ee8275baef3edf1afbbf8bc69806147 \ + --hash=sha256:db93cf1842f068247de631bfc8af20118bf1f9447cd929b531595a5e0efc9346 \ + --hash=sha256:df35324666b693f13a016bc7957de7cc4d8801b746b81060b671bf78a52b9037 \ + --hash=sha256:df3a1f6b24214a1ab826e9c1c99edf1686c8e307547a9aef33910d586f626d01 \ + --hash=sha256:eaec59e9bf70ff05615c34a8b8d6c7bd042bd9f55465d7b495ea5436f45319d0 \ + --hash=sha256:f3a920bfac2645017110b87ddbe364c9c7a742870a4d2f6120b8786c25dc6db3 \ + --hash=sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141 + # via + # -c python/requirements_compiled.txt + # lm-eval +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # accelerate + # albucore + # albumentations + # bitsandbytes + # contourpy + # datasets + # decord + # deepspeed + # diffusers + # evaluate + # matplotlib + # modin + # numba + # numexpr + # openai-whisper + # opencv-python-headless + # pandas + # patsy + # peft + # petastorm + # pytorch-lightning + # rouge-score + # sacrebleu + # scikit-learn + # scipy + # statsforecast + # statsmodels + # tensorboardx + # torchmetrics + # torchtext + # transformers + # triad + # utilsforecast + # xgboost +nvidia-nccl-cu12==2.20.5 ; platform_machine != 'aarch64' and sys_platform == 'linux' \ + --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \ + --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 + # via + # -c python/requirements_compiled.txt + # xgboost +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # gcs-oauth2-boto-plugin + # google-apitools +oauthlib==3.2.2 \ + --hash=sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca \ + --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 + # via + # -c python/requirements_compiled.txt + # requests-oauthlib +openai-whisper==20250625 \ + --hash=sha256:37a91a3921809d9f44748ffc73c0a55c9f366c85a3ef5c2ae0cc09540432eb96 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +opencv-python-headless==4.9.0.80 \ + --hash=sha256:11e3849d83e6651d4e7699aadda9ec7ed7c38957cbbcb99db074f2a2d2de9670 \ + --hash=sha256:2ea8a2edc4db87841991b2fbab55fc07b97ecb602e0f47d5d485bd75cee17c1a \ + --hash=sha256:57ce2865e8fec431c6f97a81e9faaf23fa5be61011d0a75ccf47a3c0d65fa73d \ + --hash=sha256:71a4cd8cf7c37122901d8e81295db7fb188730e33a0e40039a4e59c1030b0958 \ + --hash=sha256:976656362d68d9f40a5c66f83901430538002465f7db59142784f3893918f3df \ + --hash=sha256:a8056c2cb37cd65dfcdf4153ca16f7362afcf3a50d600d6bb69c660fc61ee29c \ + --hash=sha256:e0ee54e27be493e8f7850847edae3128e18b540dac1d7b2e4001b8944e11e1c6 + # via + # -c python/requirements_compiled.txt + # albucore + # albumentations +openskill==6.1.3 \ + --hash=sha256:0a762db4e668dd7c83cfcd0b9a08b1e27c117de0564e8cc087814785c886658d \ + --hash=sha256:0bd2ae46489f0ce2b3de2e4e407f66cbd33bdcbc1db2bc3b9a1cee5e300af0ef \ + --hash=sha256:0eb3146417945f37cf17611a5188110d5be13ee29032854058363972042f502a \ + --hash=sha256:168a59eebf44c9c3491dbd03f2e371b6d97e93e3b99410b364c00fa41abb02b4 \ + --hash=sha256:16a87f7704190ceb8094fa4e92b2345976db94f5f3890d2ae5fc09c266b45097 \ + --hash=sha256:1af59f934683439d7192618241f5a9db1369abf29f70b5117120f8ac37bf9f71 \ + --hash=sha256:1cbadb62d02cb6e7d0d0d62fb2c76215207ee02bfa8fc8efb56e0bff2857a682 \ + --hash=sha256:2aff7fc81e387c3bbe3cc9ce19d80331c25da076e3548b448fcd0de2c17c27a0 \ + --hash=sha256:327903a8aeb18b2a55be1ef00b9da449ee7fbcd22d19ecb76df771e8685605e2 \ + --hash=sha256:32c5ae1fc4dde898bd3645a0b05279e6f4b7382e8f6a57d8cfd349eb60147e64 \ + --hash=sha256:32e1d88b730bf78d1aef19311f9eac88c6e974f0764f0bc03f04430f9b1dfe3a \ + --hash=sha256:37e66034e4b8bee28ca8bb56fcf9dd92ff12e4b9d7d99c894a2e0b0463aa5dd6 \ + --hash=sha256:39105b8a17b8ab7b348094ebb9ee4e4c6adae00f25eecb4de8d7a73449decf21 \ + --hash=sha256:3bd22b174834899e3a3d35c17cbdaabc8ef2eb0cf470379312b219226ca82c3a \ + --hash=sha256:3dd41259f6a3b413de9e6d080b6a424f881688716104148ea8b860766bb39041 \ + --hash=sha256:4233d6ef198eefcaa599b98c58aed6a72088f1e2bffdd4e205c6b53e9426e732 \ + --hash=sha256:43c1cea65ec562f8c1c7d81cf6394b17fabddf023b4c8f06949662f30cd5a085 \ + --hash=sha256:5b72a8b3083fc4679c1a5a3d7853f7804e9bbe09f561985db81fd529a52c0762 \ + --hash=sha256:65a274e7a960784da9fe1d289c7350f5094d80fdaf436e854630f0cddd7023b2 \ + --hash=sha256:66a283e7e6b643538783a1b97d4d4ec7ec6e694da2260ea0eb59db555a649530 \ + --hash=sha256:6a534e71a017901e25519d1c3d10e2dbc978f9481e0d7170356252df88acc443 \ + --hash=sha256:7096c79eb8f6cc7cd8404220b52ebb15a8a8f31e4469cbefefc77b2715a7bf82 \ + --hash=sha256:76511d874a003aaa1e00901978858393e6bcbf8b81f188f1b98d98a802e2a49c \ + --hash=sha256:7d8e16fabfd4c318b6bc593fc9585aef06d0b864a731140392c41a22b3afa04b \ + --hash=sha256:7f7cc617246961213057e40896e192760807520e823979e61a2077177048c28f \ + --hash=sha256:827e2325c7cb4ef7ce038d306336372ccdb9b20b9bb83f20e55e3b6a02010384 \ + --hash=sha256:8a97853c0c6fc1f706368528113396c083e7962a1534430d72e7e78425b38e00 \ + --hash=sha256:933ab932479dbc0e681870d6803b52d695c986eb3054717b715c0a9ad054be06 \ + --hash=sha256:9c022f26c734c1a3244bdc518a9b7b0aa9ca6ac49c38203a9dece11917dbb2cc \ + --hash=sha256:a2e0191a0615f892923044d8a2318ebe474e7ada9a6f1dec64c8c3273565bcda \ + --hash=sha256:adbce997d58bdaef7eb63fd1f87928cfaca5a38fff8cd1ebadd556558ace1e7f \ + --hash=sha256:ae7f0656c875d243480f8a999afaf390356cd094cd34cdaf9fc9fef1e4980a9d \ + --hash=sha256:b40a3a811de520433c362e4e5b6343060af4984a1ee53406ce97d3248a09efc7 \ + --hash=sha256:bb3a012a5ccca365c6ec718c4b96606ba0c1ff6effec0421b8e1d7a6bd2cb70f \ + --hash=sha256:bb41a2c3d1b60483fcf583c5893367a05fdbf3391bfa4c2a5d4421345fdbe01c \ + --hash=sha256:c7257461ef66ab55a15be6f01e6325eeb8c9b9e61c0cf750d3caec415b31f4fc \ + --hash=sha256:c85aa5d2ce3ca934c568cf6ad391f0559fd0d05619d5b20b61eb6b2cc0b50943 \ + --hash=sha256:cad397d633963818b0b2e0e392321307952a3b099ee8b67526ae9edaf467825a \ + --hash=sha256:d046daf11c5b35d1f906c4baa242b9dd519197b2845820e2dc752bf8d80d7e36 \ + --hash=sha256:f04078012c003253a14038e7116ea9773de1c92bed98b5b9610b1d3909a8402e \ + --hash=sha256:f07e0a8ec21158707017fb187a191b28b8f1435ad0129fdf3335db2bbc6fb661 \ + --hash=sha256:f692769fc15a60471b818d806daba2c81401fd7b7d791398a9918a856c38a6f2 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # accelerate + # anyscale + # datasets + # deepspeed + # evaluate + # fugue-sql-antlr + # huggingface-hub + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # jupytext + # lightning-utilities + # matplotlib + # modin + # nbconvert + # peft + # petastorm + # pytest + # pytorch-lightning + # statsmodels + # tensorboardx + # torchmetrics + # transformers + # typepy + # utilsforecast +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # datasets + # evaluate + # modin + # petastorm + # qpd + # statsforecast + # statsmodels + # triad + # utilsforecast +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # anyscale +pathvalidate==3.3.1 \ + --hash=sha256:5263baab691f8e1af96092fa5137ee17df5bdfbd6cff1fcac4d6ef4bc2e1735f \ + --hash=sha256:b18c07212bfead624345bb8e1d6141cdcf15a39736994ea0b94035ad2b1ba177 + # via pytablewriter +patsy==0.5.3 \ + --hash=sha256:7eb5349754ed6aa982af81f636479b1b8db9d5b1a6e957a6016ec0534b5c86b7 \ + --hash=sha256:bdc18001875e319bc91c812c1eb6a10be4bb13cb81eb763f466179dca3b67277 + # via + # -c python/requirements_compiled.txt + # statsmodels +peft==0.17.1 \ + --hash=sha256:3d129d64def3d74779c32a080d2567e5f7b674e77d546e3585138216d903f99e \ + --hash=sha256:e6002b42517976c290b3b8bbb9829a33dd5d470676b2dec7cb4df8501b77eb9f + # via lm-eval +petastorm==0.12.1 \ + --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # ipython +pillow==10.3.0 \ + --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ + --hash=sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2 \ + --hash=sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb \ + --hash=sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d \ + --hash=sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa \ + --hash=sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3 \ + --hash=sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1 \ + --hash=sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a \ + --hash=sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd \ + --hash=sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8 \ + --hash=sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999 \ + --hash=sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599 \ + --hash=sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936 \ + --hash=sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375 \ + --hash=sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d \ + --hash=sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b \ + --hash=sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60 \ + --hash=sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572 \ + --hash=sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3 \ + --hash=sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced \ + --hash=sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f \ + --hash=sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b \ + --hash=sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19 \ + --hash=sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f \ + --hash=sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d \ + --hash=sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383 \ + --hash=sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795 \ + --hash=sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355 \ + --hash=sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57 \ + --hash=sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09 \ + --hash=sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b \ + --hash=sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462 \ + --hash=sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf \ + --hash=sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f \ + --hash=sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a \ + --hash=sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad \ + --hash=sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9 \ + --hash=sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d \ + --hash=sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45 \ + --hash=sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994 \ + --hash=sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d \ + --hash=sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338 \ + --hash=sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463 \ + --hash=sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451 \ + --hash=sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591 \ + --hash=sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c \ + --hash=sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd \ + --hash=sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32 \ + --hash=sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9 \ + --hash=sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf \ + --hash=sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5 \ + --hash=sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828 \ + --hash=sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3 \ + --hash=sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5 \ + --hash=sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2 \ + --hash=sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b \ + --hash=sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2 \ + --hash=sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475 \ + --hash=sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3 \ + --hash=sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb \ + --hash=sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef \ + --hash=sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015 \ + --hash=sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002 \ + --hash=sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170 \ + --hash=sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84 \ + --hash=sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57 \ + --hash=sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f \ + --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ + --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a + # via + # -c python/requirements_compiled.txt + # diffusers + # matplotlib +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # jupyter-core + # wandb +pluggy==1.3.0 \ + --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ + --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 + # via + # -c python/requirements_compiled.txt + # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # msal-extensions + # sacrebleu +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus + # tensorboardx + # wandb +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # accelerate + # deepspeed + # ipykernel + # locust + # modin + # peft + # petastorm + # wandb +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # stack-data +py-cpuinfo==9.0.0 \ + --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ + --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 + # via + # -c python/requirements_compiled.txt + # deepspeed +py4j==0.10.9.7 \ + --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ + --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b + # via + # -c python/requirements_compiled.txt + # pyspark +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # datasets + # petastorm + # triad +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # google-auth + # oauth2client +pybind11==3.0.1 \ + --hash=sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051 \ + --hash=sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89 + # via lm-eval +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # albumentations + # deepspeed + # fastapi +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # pydantic +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # msal +pynvml==11.5.0 \ + --hash=sha256:5cce014ac01b098d08f06178f86c37be409b80b2e903a5a03ce15eed60f55e25 \ + --hash=sha256:d027b21b95b1088b9fc278117f9f61b7c67f8e33a787e9f83f735f0f71ac32d0 + # via + # -c python/requirements_compiled.txt + # deepspeed +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # gcs-oauth2-boto-plugin + # google-oauth + # gsutil +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # httplib2 + # matplotlib +pyspark==3.4.1 \ + --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 + # via + # -c python/requirements_compiled.txt + # petastorm +pytablewriter==1.2.1 \ + --hash=sha256:7bd0f4f397e070e3b8a34edcf1b9257ccbb18305493d8350a5dbc9957fced959 \ + --hash=sha256:e906ff7ff5151d70a5f66e0f7b75642a7f2dce8d893c265b79cc9cf6bc04ddb4 + # via lm-eval +pytest==7.4.4 \ + --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ + --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client + # matplotlib + # pandas + # typepy +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # jupyter-events +pytorch-lightning==1.8.6 \ + --hash=sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d \ + --hash=sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # pandas + # typepy +pyu2f==0.1.5 \ + --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b + # via + # -c python/requirements_compiled.txt + # google-reauth +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # accelerate + # albumentations + # anyscale + # datasets + # huggingface-hub + # jupyter-events + # jupytext + # peft + # pytorch-lightning + # transformers + # wandb +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # locust + # nbclassic + # notebook + # petastorm +qpd==0.4.4 \ + --hash=sha256:e0ed05b88e321ea9935874377bda11339c90f1469f34344e9b41d16b8088e136 \ + --hash=sha256:fc02b53d990f505353ec495682fbc107dfc06c59e66d2206b5d2db2b5700b629 + # via + # -c python/requirements_compiled.txt + # fugue +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +regex==2024.5.15 \ + --hash=sha256:0721931ad5fe0dda45d07f9820b90b2148ccdd8e45bb9e9b42a146cb4f695649 \ + --hash=sha256:10002e86e6068d9e1c91eae8295ef690f02f913c57db120b58fdd35a6bb1af35 \ + --hash=sha256:10e4ce0dca9ae7a66e6089bb29355d4432caed736acae36fef0fdd7879f0b0cb \ + --hash=sha256:119af6e56dce35e8dfb5222573b50c89e5508d94d55713c75126b753f834de68 \ + --hash=sha256:1337b7dbef9b2f71121cdbf1e97e40de33ff114801263b275aafd75303bd62b5 \ + --hash=sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133 \ + --hash=sha256:1595f2d10dff3d805e054ebdc41c124753631b6a471b976963c7b28543cf13b0 \ + --hash=sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d \ + --hash=sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da \ + --hash=sha256:19068a6a79cf99a19ccefa44610491e9ca02c2be3305c7760d3831d38a467a6f \ + --hash=sha256:19dfb1c504781a136a80ecd1fff9f16dddf5bb43cec6871778c8a907a085bb3d \ + --hash=sha256:1b5269484f6126eee5e687785e83c6b60aad7663dafe842b34691157e5083e53 \ + --hash=sha256:1c1c174d6ec38d6c8a7504087358ce9213d4332f6293a94fbf5249992ba54efa \ + --hash=sha256:2431b9e263af1953c55abbd3e2efca67ca80a3de8a0437cb58e2421f8184717a \ + --hash=sha256:287eb7f54fc81546346207c533ad3c2c51a8d61075127d7f6d79aaf96cdee890 \ + --hash=sha256:2b4c884767504c0e2401babe8b5b7aea9148680d2e157fa28f01529d1f7fcf67 \ + --hash=sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c \ + --hash=sha256:391d7f7f1e409d192dba8bcd42d3e4cf9e598f3979cdaed6ab11288da88cb9f2 \ + --hash=sha256:3ad070b823ca5890cab606c940522d05d3d22395d432f4aaaf9d5b1653e47ced \ + --hash=sha256:3cd7874d57f13bf70078f1ff02b8b0aa48d5b9ed25fc48547516c6aba36f5741 \ + --hash=sha256:3e507ff1e74373c4d3038195fdd2af30d297b4f0950eeda6f515ae3d84a1770f \ + --hash=sha256:455705d34b4154a80ead722f4f185b04c4237e8e8e33f265cd0798d0e44825fa \ + --hash=sha256:4a605586358893b483976cffc1723fb0f83e526e8f14c6e6614e75919d9862cf \ + --hash=sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4 \ + --hash=sha256:4eee78a04e6c67e8391edd4dad3279828dd66ac4b79570ec998e2155d2e59fd5 \ + --hash=sha256:5397de3219a8b08ae9540c48f602996aa6b0b65d5a61683e233af8605c42b0f2 \ + --hash=sha256:5b5467acbfc153847d5adb21e21e29847bcb5870e65c94c9206d20eb4e99a384 \ + --hash=sha256:5eaa7ddaf517aa095fa8da0b5015c44d03da83f5bd49c87961e3c997daed0de7 \ + --hash=sha256:632b01153e5248c134007209b5c6348a544ce96c46005d8456de1d552455b014 \ + --hash=sha256:64c65783e96e563103d641760664125e91bd85d8e49566ee560ded4da0d3e704 \ + --hash=sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5 \ + --hash=sha256:673b5a6da4557b975c6c90198588181029c60793835ce02f497ea817ff647cb2 \ + --hash=sha256:68811ab14087b2f6e0fc0c2bae9ad689ea3584cad6917fc57be6a48bbd012c49 \ + --hash=sha256:6e8d717bca3a6e2064fc3a08df5cbe366369f4b052dcd21b7416e6d71620dca1 \ + --hash=sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694 \ + --hash=sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629 \ + --hash=sha256:7b59138b219ffa8979013be7bc85bb60c6f7b7575df3d56dc1e403a438c7a3f6 \ + --hash=sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435 \ + --hash=sha256:833616ddc75ad595dee848ad984d067f2f31be645d603e4d158bba656bbf516c \ + --hash=sha256:87e2a9c29e672fc65523fb47a90d429b70ef72b901b4e4b1bd42387caf0d6835 \ + --hash=sha256:8fe45aa3f4aa57faabbc9cb46a93363edd6197cbc43523daea044e9ff2fea83e \ + --hash=sha256:9e717956dcfd656f5055cc70996ee2cc82ac5149517fc8e1b60261b907740201 \ + --hash=sha256:9efa1a32ad3a3ea112224897cdaeb6aa00381627f567179c0314f7b65d354c62 \ + --hash=sha256:9ff11639a8d98969c863d4617595eb5425fd12f7c5ef6621a4b74b71ed8726d5 \ + --hash=sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16 \ + --hash=sha256:a0981022dccabca811e8171f913de05720590c915b033b7e601f35ce4ea7019f \ + --hash=sha256:a0bd000c6e266927cb7a1bc39d55be95c4b4f65c5be53e659537537e019232b1 \ + --hash=sha256:a32b96f15c8ab2e7d27655969a23895eb799de3665fa94349f3b2fbfd547236f \ + --hash=sha256:a81e3cfbae20378d75185171587cbf756015ccb14840702944f014e0d93ea09f \ + --hash=sha256:ac394ff680fc46b97487941f5e6ae49a9f30ea41c6c6804832063f14b2a5a145 \ + --hash=sha256:ada150c5adfa8fbcbf321c30c751dc67d2f12f15bd183ffe4ec7cde351d945b3 \ + --hash=sha256:b2b6f1b3bb6f640c1a92be3bbfbcb18657b125b99ecf141fb3310b5282c7d4ed \ + --hash=sha256:b802512f3e1f480f41ab5f2cfc0e2f761f08a1f41092d6718868082fc0d27143 \ + --hash=sha256:ba68168daedb2c0bab7fd7e00ced5ba90aebf91024dea3c88ad5063c2a562cca \ + --hash=sha256:bfc4f82cabe54f1e7f206fd3d30fda143f84a63fe7d64a81558d6e5f2e5aaba9 \ + --hash=sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa \ + --hash=sha256:c3bea0ba8b73b71b37ac833a7f3fd53825924165da6a924aec78c13032f20850 \ + --hash=sha256:c486b4106066d502495b3025a0a7251bf37ea9540433940a23419461ab9f2a80 \ + --hash=sha256:c49e15eac7c149f3670b3e27f1f28a2c1ddeccd3a2812cba953e01be2ab9b5fe \ + --hash=sha256:c6a2b494a76983df8e3d3feea9b9ffdd558b247e60b92f877f93a1ff43d26656 \ + --hash=sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388 \ + --hash=sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1 \ + --hash=sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294 \ + --hash=sha256:cf2430df4148b08fb4324b848672514b1385ae3807651f3567871f130a728cc3 \ + --hash=sha256:d0a3d8d6acf0c78a1fff0e210d224b821081330b8524e3e2bc5a68ef6ab5803d \ + --hash=sha256:d0c0c0003c10f54a591d220997dd27d953cd9ccc1a7294b40a4be5312be8797b \ + --hash=sha256:d1f059a4d795e646e1c37665b9d06062c62d0e8cc3c511fe01315973a6542e40 \ + --hash=sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600 \ + --hash=sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c \ + --hash=sha256:d99ceffa25ac45d150e30bd9ed14ec6039f2aad0ffa6bb87a5936f5782fc1569 \ + --hash=sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456 \ + --hash=sha256:e4682f5ba31f475d58884045c1a97a860a007d44938c4c0895f41d64481edbc9 \ + --hash=sha256:e5bb9425fe881d578aeca0b2b4b3d314ec88738706f66f219c194d67179337cb \ + --hash=sha256:e64198f6b856d48192bf921421fdd8ad8eb35e179086e99e99f711957ffedd6e \ + --hash=sha256:e6662686aeb633ad65be2a42b4cb00178b3fbf7b91878f9446075c404ada552f \ + --hash=sha256:ec54d5afa89c19c6dd8541a133be51ee1017a38b412b1321ccb8d6ddbeb4cf7d \ + --hash=sha256:f5b1dff3ad008dccf18e652283f5e5339d70bf8ba7c98bf848ac33db10f7bc7a \ + --hash=sha256:f8ec0c2fea1e886a19c3bee0cd19d862b3aa75dcdfb42ebe8ed30708df64687a \ + --hash=sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796 + # via + # -c python/requirements_compiled.txt + # diffusers + # nltk + # sacrebleu + # tiktoken + # transformers +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # anyscale + # azure-core + # azure-datalake-store + # datasets + # diffusers + # evaluate + # fsspec + # gcsfs + # google-api-core + # google-auth + # google-cloud-storage + # google-oauth + # huggingface-hub + # jupyterlab-server + # locust + # msal + # requests-oauthlib + # smart-open + # tiktoken + # torchtext + # transformers + # wandb +requests-oauthlib==2.0.0 \ + --hash=sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36 \ + --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 + # via + # -c python/requirements_compiled.txt + # google-auth-oauthlib +retry-decorator==1.1.1 \ + --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # anyscale + # memray + # typer +rouge-score==0.1.2 \ + --hash=sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04 + # via lm-eval +roundrobin==0.0.4 \ + --hash=sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd + # via locust +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-auth + # oauth2client +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # boto3 +sacrebleu==2.5.1 \ + --hash=sha256:1a088cc1c74ffaff0759c3191a85db09eecfa7a52e09be244e319d8d64e2fb11 \ + --hash=sha256:7c9f7ee75bec3a5bf19dd87112dfd654952130e403ad30c48298fb7da3212d5d + # via lm-eval +safetensors==0.4.3 \ + --hash=sha256:018b691383026a2436a22b648873ed11444a364324e7088b99cd2503dd828400 \ + --hash=sha256:01e4b22e3284cd866edeabe4f4d896229495da457229408d2e1e4810c5187121 \ + --hash=sha256:01feb3089e5932d7e662eda77c3ecc389f97c0883c4a12b5cfdc32b589a811c3 \ + --hash=sha256:02318f01e332cc23ffb4f6716e05a492c5f18b1d13e343c49265149396284a44 \ + --hash=sha256:02ef3a24face643456020536591fbd3c717c5abaa2737ec428ccbbc86dffa7a4 \ + --hash=sha256:03a4447c784917c9bf01d8f2ac5080bc15c41692202cd5f406afba16629e84d6 \ + --hash=sha256:084fc436e317f83f7071fc6a62ca1c513b2103db325cd09952914b50f51cf78f \ + --hash=sha256:0bf4f9d6323d9f86eef5567eabd88f070691cf031d4c0df27a40d3b4aaee755b \ + --hash=sha256:0d52c958dc210265157573f81d34adf54e255bc2b59ded6218500c9b15a750eb \ + --hash=sha256:0d5ffc6a80f715c30af253e0e288ad1cd97a3d0086c9c87995e5093ebc075e50 \ + --hash=sha256:0d9cd8e1560dfc514b6d7859247dc6a86ad2f83151a62c577428d5102d872721 \ + --hash=sha256:0dd37306546b58d3043eb044c8103a02792cc024b51d1dd16bd3dd1f334cb3ed \ + --hash=sha256:1139eb436fd201c133d03c81209d39ac57e129f5e74e34bb9ab60f8d9b726270 \ + --hash=sha256:19bbdf95de2cf64f25cd614c5236c8b06eb2cfa47cbf64311f4b5d80224623a3 \ + --hash=sha256:1ab6527a20586d94291c96e00a668fa03f86189b8a9defa2cdd34a1a01acc7d5 \ + --hash=sha256:1b89381517891a7bb7d1405d828b2bf5d75528299f8231e9346b8eba092227f9 \ + --hash=sha256:1f598b713cc1a4eb31d3b3203557ac308acf21c8f41104cdd74bf640c6e538e3 \ + --hash=sha256:22d21760dc6ebae42e9c058d75aa9907d9f35e38f896e3c69ba0e7b213033856 \ + --hash=sha256:22f3b5d65e440cec0de8edaa672efa888030802e11c09b3d6203bff60ebff05a \ + --hash=sha256:2a0deb16a1d3ea90c244ceb42d2c6c276059616be21a19ac7101aa97da448faf \ + --hash=sha256:2a1f4430cc0c9d6afa01214a4b3919d0a029637df8e09675ceef1ca3f0dfa0df \ + --hash=sha256:2d603846a8585b9432a0fd415db1d4c57c0f860eb4aea21f92559ff9902bae4d \ + --hash=sha256:2f85fc50c4e07a21e95c24e07460fe6f7e2859d0ce88092838352b798ce711c2 \ + --hash=sha256:309b10dbcab63269ecbf0e2ca10ce59223bb756ca5d431ce9c9eeabd446569da \ + --hash=sha256:3615a96dd2dcc30eb66d82bc76cda2565f4f7bfa89fcb0e31ba3cea8a1a9ecbb \ + --hash=sha256:38e2a8666178224a51cca61d3cb4c88704f696eac8f72a49a598a93bbd8a4af9 \ + --hash=sha256:393e6e391467d1b2b829c77e47d726f3b9b93630e6a045b1d1fca67dc78bf632 \ + --hash=sha256:3f9cdca09052f585e62328c1c2923c70f46814715c795be65f0b93f57ec98a02 \ + --hash=sha256:41a727a7f5e6ad9f1db6951adee21bbdadc632363d79dc434876369a17de6ad6 \ + --hash=sha256:420a98f593ff9930f5822560d14c395ccbc57342ddff3b463bc0b3d6b1951550 \ + --hash=sha256:446e9fe52c051aeab12aac63d1017e0f68a02a92a027b901c4f8e931b24e5397 \ + --hash=sha256:455d538aa1aae4a8b279344a08136d3f16334247907b18a5c3c7fa88ef0d3c46 \ + --hash=sha256:4f9bac020faba7f5dc481e881b14b6425265feabb5bfc552551d21189c0eddc3 \ + --hash=sha256:53c4879b9c6bd7cd25d114ee0ef95420e2812e676314300624594940a8d6a91f \ + --hash=sha256:5757e4688f20df083e233b47de43845d1adb7e17b6cf7da5f8444416fc53828d \ + --hash=sha256:585c9ae13a205807b63bef8a37994f30c917ff800ab8a1ca9c9b5d73024f97ee \ + --hash=sha256:5d07cbca5b99babb692d76d8151bec46f461f8ad8daafbfd96b2fca40cadae65 \ + --hash=sha256:5fc6775529fb9f0ce2266edd3e5d3f10aab068e49f765e11f6f2a63b5367021d \ + --hash=sha256:622afd28968ef3e9786562d352659a37de4481a4070f4ebac883f98c5836563e \ + --hash=sha256:6f9568f380f513a60139971169c4a358b8731509cc19112369902eddb33faa4d \ + --hash=sha256:70a5319ef409e7f88686a46607cbc3c428271069d8b770076feaf913664a07ac \ + --hash=sha256:74707624b81f1b7f2b93f5619d4a9f00934d5948005a03f2c1845ffbfff42212 \ + --hash=sha256:7c4fa560ebd4522adddb71dcd25d09bf211b5634003f015a4b815b7647d62ebe \ + --hash=sha256:7de32d0d34b6623bb56ca278f90db081f85fb9c5d327e3c18fd23ac64f465768 \ + --hash=sha256:840b7ac0eff5633e1d053cc9db12fdf56b566e9403b4950b2dc85393d9b88d67 \ + --hash=sha256:840caf38d86aa7014fe37ade5d0d84e23dcfbc798b8078015831996ecbc206a3 \ + --hash=sha256:8651c7299cbd8b4161a36cd6a322fa07d39cd23535b144d02f1c1972d0c62f3c \ + --hash=sha256:868ad1b6fc41209ab6bd12f63923e8baeb1a086814cb2e81a65ed3d497e0cf8f \ + --hash=sha256:88887f69f7a00cf02b954cdc3034ffb383b2303bc0ab481d4716e2da51ddc10e \ + --hash=sha256:89f9f17b0dacb913ed87d57afbc8aad85ea42c1085bd5de2f20d83d13e9fc4b2 \ + --hash=sha256:8c496c5401c1b9c46d41a7688e8ff5b0310a3b9bae31ce0f0ae870e1ea2b8caf \ + --hash=sha256:8cf18888606dad030455d18f6c381720e57fc6a4170ee1966adb7ebc98d4d6a3 \ + --hash=sha256:8d22c1a10dff3f64d0d68abb8298a3fd88ccff79f408a3e15b3e7f637ef5c980 \ + --hash=sha256:90964917f5b0fa0fa07e9a051fbef100250c04d150b7026ccbf87a34a54012e0 \ + --hash=sha256:9bfb92f82574d9e58401d79c70c716985dc049b635fef6eecbb024c79b2c46ad \ + --hash=sha256:9c6ad011c1b4e3acff058d6b090f1da8e55a332fbf84695cf3100c649cc452d1 \ + --hash=sha256:a11c374eb63a9c16c5ed146457241182f310902bd2a9c18255781bb832b6748b \ + --hash=sha256:a7cef55929dcbef24af3eb40bedec35d82c3c2fa46338bb13ecf3c5720af8a61 \ + --hash=sha256:a844cdb5d7cbc22f5f16c7e2a0271170750763c4db08381b7f696dbd2c78a361 \ + --hash=sha256:ae7613a119a71a497d012ccc83775c308b9c1dab454806291427f84397d852fd \ + --hash=sha256:b1648568667f820b8c48317c7006221dc40aced1869908c187f493838a1362bc \ + --hash=sha256:b1e31be7945f66be23f4ec1682bb47faa3df34cb89fc68527de6554d3c4258a4 \ + --hash=sha256:b277482120df46e27a58082df06a15aebda4481e30a1c21eefd0921ae7e03f65 \ + --hash=sha256:b7ffba80aa49bd09195145a7fd233a7781173b422eeb995096f2b30591639517 \ + --hash=sha256:b852e47eb08475c2c1bd8131207b405793bfc20d6f45aff893d3baaad449ed14 \ + --hash=sha256:bb4f8c5d0358a31e9a08daeebb68f5e161cdd4018855426d3f0c23bb51087055 \ + --hash=sha256:bbae3b4b9d997971431c346edbfe6e41e98424a097860ee872721e176040a893 \ + --hash=sha256:befdf0167ad626f22f6aac6163477fcefa342224a22f11fdd05abb3995c1783c \ + --hash=sha256:c0acbe31340ab150423347e5b9cc595867d814244ac14218932a5cf1dd38eb39 \ + --hash=sha256:c41e1893d1206aa7054029681778d9a58b3529d4c807002c156d58426c225173 \ + --hash=sha256:c59d51f182c729f47e841510b70b967b0752039f79f1de23bcdd86462a9b09ee \ + --hash=sha256:cd6fff9e56df398abc5866b19a32124815b656613c1c5ec0f9350906fd798aac \ + --hash=sha256:cdd0a3b5da66e7f377474599814dbf5cbf135ff059cc73694de129b58a5e8a2c \ + --hash=sha256:cf476bca34e1340ee3294ef13e2c625833f83d096cfdf69a5342475602004f95 \ + --hash=sha256:d0dd4a1db09db2dba0f94d15addc7e7cd3a7b0d393aa4c7518c39ae7374623c3 \ + --hash=sha256:d1456f814655b224d4bf6e7915c51ce74e389b413be791203092b7ff78c936dd \ + --hash=sha256:d14d30c25897b2bf19b6fb5ff7e26cc40006ad53fd4a88244fdf26517d852dd7 \ + --hash=sha256:d244bcafeb1bc06d47cfee71727e775bca88a8efda77a13e7306aae3813fa7e4 \ + --hash=sha256:d8815b5e1dac85fc534a97fd339e12404db557878c090f90442247e87c8aeaea \ + --hash=sha256:d88b33980222085dd6001ae2cad87c6068e0991d4f5ccf44975d216db3b57376 \ + --hash=sha256:d8c5093206ef4b198600ae484230402af6713dab1bd5b8e231905d754022bec7 \ + --hash=sha256:d9c289f140a9ae4853fc2236a2ffc9a9f2d5eae0cb673167e0f1b8c18c0961ac \ + --hash=sha256:dcf5705cab159ce0130cd56057f5f3425023c407e170bca60b4868048bae64fd \ + --hash=sha256:e011cc162503c19f4b1fd63dfcddf73739c7a243a17dac09b78e57a00983ab35 \ + --hash=sha256:e066e8861eef6387b7c772344d1fe1f9a72800e04ee9a54239d460c400c72aab \ + --hash=sha256:e0b2104df1579d6ba9052c0ae0e3137c9698b2d85b0645507e6fd1813b70931a \ + --hash=sha256:e375d975159ac534c7161269de24ddcd490df2157b55c1a6eeace6cbb56903f0 \ + --hash=sha256:e4119532cd10dba04b423e0f86aecb96cfa5a602238c0aa012f70c3a40c44b50 \ + --hash=sha256:e7dbbde64b6c534548696808a0e01276d28ea5773bc9a2dfb97a88cd3dffe3df \ + --hash=sha256:e9afd5358719f1b2cf425fad638fc3c887997d6782da317096877e5b15b2ce93 \ + --hash=sha256:ec4b52ce9a396260eb9731eb6aea41a7320de22ed73a1042c2230af0212758ce \ + --hash=sha256:edb5698a7bc282089f64c96c477846950358a46ede85a1c040e0230344fdde10 \ + --hash=sha256:ee463219d9ec6c2be1d331ab13a8e0cd50d2f32240a81d498266d77d07b7e71e \ + --hash=sha256:efcc860be094b8d19ac61b452ec635c7acb9afa77beb218b1d7784c6d41fe8ad \ + --hash=sha256:f5e6883af9a68c0028f70a4c19d5a6ab6238a379be36ad300a22318316c00cb0 \ + --hash=sha256:f9650713b2cfa9537a2baf7dd9fee458b24a0aaaa6cafcea8bdd5fb2b8efdc34 \ + --hash=sha256:faefeb3b81bdfb4e5a55b9bbdf3d8d8753f65506e1d67d03f5c851a6c87150e9 \ + --hash=sha256:fb9c65bd82f9ef3ce4970dc19ee86be5f6f93d032159acf35e663c6bea02b237 \ + --hash=sha256:fe746d03ed8d193674a26105e4f0fe6c726f5bb602ffc695b409eaf02f04763d \ + --hash=sha256:fef5d70683643618244a4f5221053567ca3e77c2531e42ad48ae05fae909f542 + # via + # -c python/requirements_compiled.txt + # accelerate + # peft + # transformers +scikit-learn==1.3.2 \ + --hash=sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107 \ + --hash=sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161 \ + --hash=sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c \ + --hash=sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d \ + --hash=sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157 \ + --hash=sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a \ + --hash=sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb \ + --hash=sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c \ + --hash=sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a \ + --hash=sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c \ + --hash=sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5 \ + --hash=sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0 \ + --hash=sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b \ + --hash=sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03 \ + --hash=sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66 \ + --hash=sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9 \ + --hash=sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf \ + --hash=sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028 \ + --hash=sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93 \ + --hash=sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05 \ + --hash=sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073 \ + --hash=sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525 \ + --hash=sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e \ + --hash=sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1 \ + --hash=sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0 \ + --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # albumentations + # scikit-learn + # statsforecast + # statsmodels + # xgboost +semidbm==0.5.1 \ + --hash=sha256:0dd74b5e9276eb5af186ace8b74165acec0c887e746bdae60340be91b99cffaf \ + --hash=sha256:add3e644dd6afcce83d1752b34ff80fa4e2b37b4ce6bce3289ad19d6f0bcd6ae + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +sentencepiece==0.1.96 \ + --hash=sha256:1dac8c2ad02b5ebc1179c0a14cbc7d7c6f4fd73d4dd51820626402d0aefc974e \ + --hash=sha256:203443a7bd4295b6a3695787235abe0e77d4c369d7156a6b9a397c540a38bd27 \ + --hash=sha256:26d20d713b3ba1b7a19205336afb1e93a4327c372b2f795e907b8dc2315ac92e \ + --hash=sha256:3028699bdb2fb0230804f3b8a617fe3af22f5c5a56416419b31a7da5e7bf83bc \ + --hash=sha256:335bf84d72112cc91f3c3b691d61802fc963503b7772fd8280d20368048b8f3e \ + --hash=sha256:36e9ff61e7b67c5b7ee96733613622620b4802fc8cf188a4dbc1f355b03dde02 \ + --hash=sha256:384148cead5cdab34a4d74fe1fb6a5a8abaafed25eaa4a7698b49dd9482e4c4e \ + --hash=sha256:3c703e68ea192e45b65c5d5836f6980849d828a18da4189899d7150fad82dc9e \ + --hash=sha256:3e61e0757e49c306fff78ea75d6b75773418fe22214b4a460959203be934e834 \ + --hash=sha256:466e381f0a812da8fda97a9707498cef3210ea8385a3421bcbadcb5384063969 \ + --hash=sha256:48c6d13b3bfff08060c138248e85df60f6fad11135ad7a8fc2ef6005aacca839 \ + --hash=sha256:4997c7ccf2ae462320250314aa5709a88d8a09fa271d073458a07bebf33f8e7c \ + --hash=sha256:5388882bb24d083f6cc8cffc5c435f3694a7772b018e06ea6fd84d1044009efb \ + --hash=sha256:5513298d62fe63dd0862d08a6eb52a9aa3537006f597f2386184e3f95bb88889 \ + --hash=sha256:78e18d9106c36dcca929e18fd2c412378deac661d47fa3ee25defc55eef8a215 \ + --hash=sha256:8179785883b556cd517416cdbda6244745414b00ec83132cfe1d26000971f3ae \ + --hash=sha256:81bb77ba3651114943b2f8f77829cf764137dff06e38f4bf7fa43efea12c7f84 \ + --hash=sha256:89c038da7f827a6e2ca4c73aeb4e4b25b99d981ce47dd61b04d446c8200cba1e \ + --hash=sha256:940a6999c7d3f55e9d7b194fd5e1f41a7dbed26d3519fb95333216292a39599e \ + --hash=sha256:99ea2d9db19e63a2d17d5dc64f9ace83fb9308a735be05a1aaf98eb4b496fba7 \ + --hash=sha256:9bdf097d5bd1d8ce42dfee51f6ff05f5578b96e48c6f6006aa4eff69edfa3639 \ + --hash=sha256:a336575463d75d3aac1f7e32470b8998643ccd9a73786bd726f6b0470520b6b4 \ + --hash=sha256:a697257a2cd7581732d7741a8d32a06927f0311c3d277dbc47fa1043350c9d17 \ + --hash=sha256:a92e1932ee8fd500680ccbe1bf53eb33228f4c9d6524ed6f300bcc80ac359f27 \ + --hash=sha256:aeb090ad462833df03af1debce4ae607a2766ef861f992003ad0c56d074ab805 \ + --hash=sha256:b1c24c1d9405b2148184ff27c062493d5e3be5c144575f95b5a0d7c660a515af \ + --hash=sha256:b77d27f59d515c43b61745b8173fbe7c7b3014b14b3702a75bf1793471e7def6 \ + --hash=sha256:b8b1dd2712f8a7de5b4c8ec912e6c041d25750bf03e1ce325cdba43bae0944ae \ + --hash=sha256:bedf0355117fb4e9b1fc9fc92b4d5ee743a7d468be9f6196e3b94447710ea589 \ + --hash=sha256:cc969e6694fb27fba7cee2953f350804faf03913f25ae1ee713a7b8a1bc08018 \ + --hash=sha256:d45e3f78e746aa161bc9f5a31c6a2839c512101113a4065f4d2e7a3ab8198d8c \ + --hash=sha256:d501713a8396193883aa526f48dc609f5f031a5df1afbafa561cf9ab492ffc76 \ + --hash=sha256:d954d25a8705f972e8bfc1dea5464d7e697dd6f4ade092f1a487387e6d6c829a \ + --hash=sha256:dadccb2e49244b6e64b4527d13ec14d5e094a90b41cf9b963e457e64182f1941 \ + --hash=sha256:e811984b0908c14c56de7d8226fdd494d87a7ccb75af8ac3a07423037aaafc35 \ + --hash=sha256:e88354b61f59dfdeb41023f7be8ae31dc627c2dc2dacbc2de8b2d82a0997135c \ + --hash=sha256:e8ec5bb6777e2060e1499750c50e1b69dca5a0f80f90f2c66656c5f3e5244593 \ + --hash=sha256:e9e9fe8094ca57549d801e9a2017ac5c24108bbf485ea4f8994a72e8e96ee135 \ + --hash=sha256:eba0471ab0bb2e07ed06d91ecf5185d402c83d194155a41d8e2aa547d187712e \ + --hash=sha256:ef59ba19340dc1d002ce5713b911c0ef23c577b08f8ed57998ee3c8e62c5bf6e \ + --hash=sha256:f8c90df663cd9759b2cf8dd29998b63140ac39e51ada2e739dc13bdac0b4f001 \ + --hash=sha256:f8cb24d8d0b2f8b7463815a59183eb81ec1d7a06e3217bed456063f3303eddfb \ + --hash=sha256:fd907a8f744e5337de7fc532dd800c4416b571ea47f8c3c66be10cd1bc67c925 \ + --hash=sha256:ff7d752a7f82d87711ec1a95c2262cb74f98be5b457f0300d81a1aefe5be2a95 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +sentry-sdk==2.10.0 \ + --hash=sha256:545fcc6e36c335faa6d6cda84669b6e17025f31efbf3b2211ec14efe008b75d1 \ + --hash=sha256:87b3d413c87d8e7f816cc9334bff255a83d8b577db2b22042651c30c19c09190 + # via + # -c python/requirements_compiled.txt + # wandb +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c python/requirements_compiled.txt + # wandb +shellingham==1.5.4 \ + --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ + --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de + # via + # -c python/requirements_compiled.txt + # typer +simsimd==6.5.3 \ + --hash=sha256:051c6493f07c4ec5938648accd351b16221a5d07633649b6f392e387811900a1 \ + --hash=sha256:05418b8d1b75f34208ff117dbcf3c62cefa3abab1a3958bcce60f43881138777 \ + --hash=sha256:05f64148d59ec5e6caaadcfc77284fa4187f0686cee3095d9dd9c0366b59e077 \ + --hash=sha256:0608c74239d5f9fa9eda9b07479a710d807776c18bb7e0a3a8204dafb513425f \ + --hash=sha256:06aab6b9ff2deb6e0a01621ecb6de4d575e29991a7e90395d69eaeb53c029339 \ + --hash=sha256:098a8b2cf378d4134a0fb783411b49e4d790dba423545f77271657d131697e7e \ + --hash=sha256:0b5deef772dfda824184b59cc87e9e79754c05c1b1ed4e140ec0fe5f0095b152 \ + --hash=sha256:11358046752d72059e425946ac00001704a47869cc0d05b9f750a64720a2a6a9 \ + --hash=sha256:120f1057219b5ebb749e0b25202df24b96a35b4d719b0c311c632a9d45ffe637 \ + --hash=sha256:123adaad09d96ab41763456cb9a61e2660bd28ddf3d46dabb9aacdff06e504f2 \ + --hash=sha256:17472f64eb0f7e0ee56c7865134b37f1dfb102bba6b9b92ac2c8ead8edf3dd0e \ + --hash=sha256:186c377c72396e176b520442f81ee3cf7969f72706a02ecc9cbe48220cf2eeca \ + --hash=sha256:1b3e1bb1b91d8771ad905e90b4f06a6a7468fcd1fa8626e297816b349d6b6182 \ + --hash=sha256:1cdcc253fdb9179b9273e4771c333b5d9adf99f911de0d8197a6ee5962bd9f86 \ + --hash=sha256:22cfae73fb5c5220c4f3f1bfddde681cce7259b7e90e73a77225025a62511094 \ + --hash=sha256:24126bb1819b5687f208c8e4d549029019387377e74eb1699ac1346b358997b6 \ + --hash=sha256:26c9920fe1bd3a1d15a24167e2d8777bed32b21b48868d0c785c1a821575bc56 \ + --hash=sha256:27a0524914090178628aef71eb8630c2ab36a2e95b2a5befa4af2c8f8fb9295c \ + --hash=sha256:2bb463ebf97d95bfb192ede0c6e16e3db2d2a5876a74a8d593b62cecb3195765 \ + --hash=sha256:2bd844a68ea1cbe8905a80b724648613e61addf236a635339ea06dee0bae73c2 \ + --hash=sha256:3096d9bb2685b82b4354a58f94153ac22082c58e1a0771c68ad07d44a3e4567f \ + --hash=sha256:3243071067837686a82fb6f34bc5fe95f3b67fd8e7afb6b076e2f4385e598ecd \ + --hash=sha256:32a8bd20f9a830bc71ed0b8614b712b814df8f46f303895e71c2b2f788621cdb \ + --hash=sha256:32b3e75ea04e9b8f5d5c2f6c94162b47dbecfb1c2c64c34ed98fb7e0f996639a \ + --hash=sha256:33b64b748feb6a3f64bff8e885daf5dcc9b42678f024827e43b448aa914eefe7 \ + --hash=sha256:3606bd2d5c8f5bce7b514363ac92ed7ee32ee566c121d6ae0d1640f1ce618a34 \ + --hash=sha256:3738cdfd9839981c774954530df78114e3e2335e3ac121193699e712e1ea2eac \ + --hash=sha256:37cdecd13b594afa74e22be386eb6e144d2af2bb599acc018e398d8e97ae826a \ + --hash=sha256:40124270fc81bef824cb2f4d0daca33bc6a7a6ca1aae17a80ba65ffee0997273 \ + --hash=sha256:406e4dd564e6b5e5dccab00d40950778a8684c65be3ef364b5f5e15a92df6770 \ + --hash=sha256:44afa2e54093e4200ca2dbda907f16690e0e789bc9fd89637afeb741d2845388 \ + --hash=sha256:4561a39c7957cd9f4c1ddf8c9e663de380e4d168527c8b929330e4eca5a69803 \ + --hash=sha256:46333c4d2f13f0d45f0407057b026068fdc66f383acf9936f8e02842d618b679 \ + --hash=sha256:46997e10a8ee726f30e485c8670a7eae517a6d2a4cc5d4dd775e29c5afe2c192 \ + --hash=sha256:473fe6797cfdfc2f900abe51d8faa575743e6a051a5d3c8bf07eb64d8da20051 \ + --hash=sha256:4f1f20ee42d2aa57bb6cfb03c3d17c5c68cde987a71e3d421240aff159c004e8 \ + --hash=sha256:52495c13e8547c259a6da1ab5cbc95cb0ac4d2ca4ae33434b9514b64f39a122c \ + --hash=sha256:56f3547e569d42c9335e41eb03508558e4398efed34783c5ad9810d6dc1b4879 \ + --hash=sha256:5b706b2014cdf672e597e5de99a07d25bd896c04234fcdafaf26094316c99ba7 \ + --hash=sha256:5c8cb2a868937775fe9bd4fabc05d05c59027badf39f4a6b5a20f60503146d1c \ + --hash=sha256:5da3b88033315d654ac71feb68296fc0597d968ead995d8a53c24e31552a5344 \ + --hash=sha256:5e58bda40d247bf01b2cd50b841ab3376ec12ce022b8ed626b717f45b08eacd8 \ + --hash=sha256:5ff341e84fe1c46e7268ee9e31f885936b29c38ce59f423433aef5f4bb5bfd18 \ + --hash=sha256:66db6e5088395dcd44667239e5c0c35a686f6e30461a32d3d1e2bf821e158dcd \ + --hash=sha256:6814a3a0297c421b8fce529b53ef7fb1a07caf09d351bf83f9c540cb14e27cac \ + --hash=sha256:68754e56b9ca813b0fc73ea7ca04c303a36f3100811347009182646efaea4872 \ + --hash=sha256:68b1924f60143ef5cf40ae38d75330e5b3c4e9953c878c1a60e913004c38d7d8 \ + --hash=sha256:697b2cc147cecc8e9107a51877aec6078412c970cc780699d387f6450cb80392 \ + --hash=sha256:6ac439ba9fc08dce8bc8cb8dcf78ddd933f74a59aa9037bb5e7d5c1c6254cf28 \ + --hash=sha256:6b4edfbad104b202675733bc711721da7c9063c256c635c2b2441acd79db5238 \ + --hash=sha256:6caf836a4b8bf4eda3c69db00bf7adc07207a6fec5336f0ef89085760d20e166 \ + --hash=sha256:6e6a0bd069e02bb1f2f88f53a0abfbcf8040d2764668569e519a3360b9303858 \ + --hash=sha256:6fa112ffde73c299afee40e27299f68b99008adbebfefc05e70f2d229d8696bf \ + --hash=sha256:7142baddb9e8579b1e9f741b33ea79fa1914dc364017e10d8a563ff55759b19f \ + --hash=sha256:71da07aef015a7995162d746d4ae879771eb4b4d1df11a27a7dae2c7d577ed8d \ + --hash=sha256:769696d4ca5de461275fe75c82d255ec4e5ffab502cf1e6b8d641508327e2f01 \ + --hash=sha256:7a841727f9de8976bc5d4d4743b7c2d1e2a3aac255ceb6445a936696f1ad6001 \ + --hash=sha256:7f1545fc97fa32b2af081bbc9841d86025c4f6a623fc084d6dc7af6c138b1fa1 \ + --hash=sha256:7fffcc58aeff47a02890438581dcb95c279c85f366db8118681bf24fc78bcff8 \ + --hash=sha256:85896caa9b8dce370f5f1dee0f0469514351638ceb75796290413562c28ffe32 \ + --hash=sha256:85fdda2e9bdf31440207cc2696991a6a163dcff329b0814f446fcbf1c54320d4 \ + --hash=sha256:884a55249294e9293c7a67930d3d06e3c99e22de1696104691af524e55c02649 \ + --hash=sha256:8b1c26dd73960c9789e8e0f90750a2ede4e64120ad96b5f9ec46ef9e1f2039ac \ + --hash=sha256:90f15af7dab040ea9c970eeadc8da6c3a62149f1fd213946ec2d41fc341e505d \ + --hash=sha256:94a989ec638e4ebe33c6aacd31fec8586480017909e7c5016c91005d52512cad \ + --hash=sha256:94da56a777e40f511460c3261632f1bb50c253f7e8f9253c081193e59dad6dda \ + --hash=sha256:98af777ea1b227d42efdcb42fa5a667aa30c324665ec35425fcaa31152e4ccad \ + --hash=sha256:9bd8cb1eeb0982363037202d76305fd6df88d86f02ca38fea10b1c69716d6cec \ + --hash=sha256:9d0bc9132bf2bb887246c784bf6a6c0b37a96af0d4aec7cc728e9b1274868bdb \ + --hash=sha256:a4f4d711eb19278852f64f74b55fbf7a265b9993761f7d80e5ebadbd548bdbaa \ + --hash=sha256:aa180116a50310dc5424df07b76dec8f745bd70024b0406816710b9f9a46ae46 \ + --hash=sha256:aebeb084101ac880ad2962e1bef3c034a5eeec63ec256bdc2ec6dced9cc1659b \ + --hash=sha256:af2739d5873263d3ad9f843e62c92d990ae65f759767f1d0060fffb580602d4f \ + --hash=sha256:b341f0ff17b9c34666d16047a9a031ff79ed558395af6923181dcc435c9b12eb \ + --hash=sha256:b62691ef929b64118f7d22af793a9efed267e37633aaede4363a71b6378dc7e8 \ + --hash=sha256:b62c00b485aa59d33f1eb5749735223df11846a48273f2a4a536b3c7004053e3 \ + --hash=sha256:bc5c20c8b46e7f5fa3922c8b0bfe7032c38cb3c4a953a09ed6934de791bf42ba \ + --hash=sha256:bc663837f228b69a8ac6e6c81660970827cf9ef389c1feef2b73d9d637a007d4 \ + --hash=sha256:bd0267b61c3128282b52388ce1390d95c8beab219da1b95d7aaadab9a18bf42b \ + --hash=sha256:be0f4921c370f715995789eb780315b0456d0b9937209caab0343b98bda5b668 \ + --hash=sha256:bf43cc7bf0b0284fd02103300319dc0f29bf46eaa93dfb2478351e3087551920 \ + --hash=sha256:c827f13caf47cc255dea3455e4f68da9930c396e77ac6f116ab82ecab5d9b1e4 \ + --hash=sha256:c954adf533036dc2131fa131557317bc874f54891e7b681d0af6dba18dffa82e \ + --hash=sha256:c9aba7081452e66db9c484778c969c294006b9aebf59143344e559c3a7254e65 \ + --hash=sha256:cab8670c7ed2754a6a5f3d2d568a43141c6494092fcc1693efecd20cefb51f61 \ + --hash=sha256:cc3c217c9912942644db64074a7745d7470273f69acc962f36ef584e88010087 \ + --hash=sha256:cc84a7398a6c0f2b12d0d7196a7767e9eddbcf03d0bad8aa8acde159587c522b \ + --hash=sha256:d92265fe85f69cb8bf1516e883f552005f7e4b8abe1391f8322c95471872fe02 \ + --hash=sha256:de7ebf4918e94e1122e261778fac9a7397cceffc8fd8e3381301306a297f9678 \ + --hash=sha256:df7606ec531e517226e0d95b82d10ca76601541091f1b7a3fea7496736e8defb \ + --hash=sha256:e94a47db1e1e18c98ead6671827662bc9a181e672573693fc281b3b2169a2e4d \ + --hash=sha256:e9df2ddf2cf314d557f10a6ff4eebaee98b3fab986cc9bf360ff48d84d2a1f8b \ + --hash=sha256:ea50a7c00b1b32100372504970118a343f57421f7ed9c0db4a362fb74d28ab7e \ + --hash=sha256:ee19ed3b2098104c0d7f7f5d92c4b2caa1ab3cbe1a7c345bec75a21d33dc37a2 \ + --hash=sha256:f04d9445e6ed2c1d3a062cd03d71aa21d2e26895d661c9eb81aa3b4c13359557 \ + --hash=sha256:f297be532613627271e1872d1e490e1d02a2df4e54603598e85e4cbc5cd4af38 \ + --hash=sha256:f2eb6dfaadd6777d86e6b5f3c2e53e2f55e4fcd4dd3fb36ed7a7dd5de6bb0bb4 \ + --hash=sha256:f9dabbe49ab3ee124758dde4d52ffa668cad07a31c9f84d7d5fd906439987115 + # via albucore +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # azure-core + # bleach + # docker-pycreds + # fs + # gcs-oauth2-boto-plugin + # google-apitools + # google-oauth + # gsutil + # isodate + # oauth2client + # patsy + # petastorm + # python-dateutil + # pyu2f + # rfc3339-validator + # rouge-score + # triad + # trueskill +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # anyio +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # anyscale +sqlglot==25.6.1 \ + --hash=sha256:c1fcbaa00429979f16fb8cea20279a8b3f5312e76d97abb8f8c6a9b21be450d7 \ + --hash=sha256:ea40f3bf8452e2c1a696fe120163190bd67e49b346336e7db6d34400b57b7601 + # via + # -c python/requirements_compiled.txt + # fugue +sqlitedict==2.1.0 \ + --hash=sha256:03d9cfb96d602996f1d4c2db2856f1224b96a9c431bdd16e78032a72940f9e8c + # via lm-eval +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # ipython +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # fastapi +statsforecast==1.7.0 \ + --hash=sha256:0a4aae77988c23db25703eafacecb88a6fc981496be886e24c6144fab2310a0e \ + --hash=sha256:ac63de8095242eb0f362045a232174666f0fa24a43ee8c3d3cc0bb61f15b7316 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +statsmodels==0.14.0 \ + --hash=sha256:0eea4a0b761aebf0c355b726ac5616b9a8b618bd6e81a96b9f998a61f4fd7484 \ + --hash=sha256:0ef7fa4813c7a73b0d8a0c830250f021c102c71c95e9fe0d6877bcfb56d38b8c \ + --hash=sha256:16bfe0c96a53b20fa19067e3b6bd2f1d39e30d4891ea0d7bc20734a0ae95942d \ + --hash=sha256:1c7724ad573af26139a98393ae64bc318d1b19762b13442d96c7a3e793f495c3 \ + --hash=sha256:229b2f676b4a45cb62d132a105c9c06ca8a09ffba060abe34935391eb5d9ba87 \ + --hash=sha256:3757542c95247e4ab025291a740efa5da91dc11a05990c033d40fce31c450dc9 \ + --hash=sha256:3b0a135f3bfdeec987e36e3b3b4c53e0bb87a8d91464d2fcc4d169d176f46fdb \ + --hash=sha256:4c815ce7a699047727c65a7c179bff4031cff9ae90c78ca730cfd5200eb025dd \ + --hash=sha256:575f61337c8e406ae5fa074d34bc6eb77b5a57c544b2d4ee9bc3da6a0a084cf1 \ + --hash=sha256:582f9e41092e342aaa04920d17cc3f97240e3ee198672f194719b5a3d08657d6 \ + --hash=sha256:5a6a0a1a06ff79be8aa89c8494b33903442859add133f0dda1daf37c3c71682e \ + --hash=sha256:6875c7d689e966d948f15eb816ab5616f4928706b180cf470fd5907ab6f647a4 \ + --hash=sha256:68b1c768dd94cc5ba8398121a632b673c625491aa7ed627b82cb4c880a25563f \ + --hash=sha256:6f7d762df4e04d1dde8127d07e91aff230eae643aa7078543e60e83e7d5b40db \ + --hash=sha256:71054f9dbcead56def14e3c9db6f66f943110fdfb19713caf0eb0f08c1ec03fd \ + --hash=sha256:76e290f4718177bffa8823a780f3b882d56dd64ad1c18cfb4bc8b5558f3f5757 \ + --hash=sha256:77b3cd3a5268ef966a0a08582c591bd29c09c88b4566c892a7c087935234f285 \ + --hash=sha256:7ebe885ccaa64b4bc5ad49ac781c246e7a594b491f08ab4cfd5aa456c363a6f6 \ + --hash=sha256:8be53cdeb82f49c4cb0fda6d7eeeb2d67dbd50179b3e1033510e061863720d93 \ + --hash=sha256:8d1e3e10dfbfcd58119ba5a4d3c7d519182b970a2aebaf0b6f539f55ae16058d \ + --hash=sha256:9c64ebe9cf376cba0c31aed138e15ed179a1d128612dd241cdf299d159e5e882 \ + --hash=sha256:a6ad7b8aadccd4e4dd7f315a07bef1bca41d194eeaf4ec600d20dea02d242fce \ + --hash=sha256:afe80544ef46730ea1b11cc655da27038bbaa7159dc5af4bc35bbc32982262f2 \ + --hash=sha256:b587ee5d23369a0e881da6e37f78371dce4238cf7638a455db4b633a1a1c62d6 \ + --hash=sha256:ce28eb1c397dba437ec39b9ab18f2101806f388c7a0cf9cdfd8f09294ad1c799 \ + --hash=sha256:d7fda067837df94e0a614d93d3a38fb6868958d37f7f50afe2a534524f2660cb \ + --hash=sha256:de489e3ed315bdba55c9d1554a2e89faa65d212e365ab81bc323fa52681fc60e \ + --hash=sha256:fb471f757fc45102a87e5d86e87dc2c8c78b34ad4f203679a46520f1d863b9da \ + --hash=sha256:fc2c7931008a911e3060c77ea8933f63f7367c0f3af04f82db3a04808ad2cd2c + # via + # -c python/requirements_compiled.txt + # statsforecast +stringzilla==4.0.11 \ + --hash=sha256:04061e74c51d8ae91a3b57b7c8aa08980b67eb43c18c71d5771c287df8a163df \ + --hash=sha256:083a1e743583ca13cd153427e78db8b6cfaf5eaa35d0ea223b8edf5ba8a2d1e0 \ + --hash=sha256:0c36a0a560e28f6cce2054f655b0adf03957b8fa7498fb501123d6c994b6e6bb \ + --hash=sha256:0c396f063083308b387eb3a7529d7e9d803754fb956e5bd0cb0266e107bf5f3d \ + --hash=sha256:22ca3f0e5bd3e6d670a76fd43b66c8621b1957b56de25c15ca4326d62d70620c \ + --hash=sha256:23433102295bd259ec246311706b5372fd443473ff785bb3ca6648126bc2d887 \ + --hash=sha256:24dd06d09cac35611f3786b41282bab71143702b882eedf1e6440b0cc4bbf146 \ + --hash=sha256:2b999fb50476d79bc963ff69aa83d73a648f5fe2303ad69f3c9cf185318da339 \ + --hash=sha256:2d007f559545b736c39f30bbbe76ed55f5299d4310f1b8bfa7d77bd6ad26dcda \ + --hash=sha256:2dd0646e7d6386f1e19b90912ccc414b0f689f647974e1ba58053e572a78798e \ + --hash=sha256:33ec5c4f47880cd99f4cd5427c5f7df105323cfc65a08e0bc78ab06ed61e6fee \ + --hash=sha256:35a04718bc6f98b2aee1f3e0a146ebbebe54e2177945e318035e4c7ef8f9e7f3 \ + --hash=sha256:36ed569c8654a7db00e2fade010e85be6bcc39e429acfe074be55d109034291c \ + --hash=sha256:3925a3fd4b3480f034bcb234e6c80ac231b2b35b098c054b74e9589bdf7727f4 \ + --hash=sha256:40c1ba41654d250ac244846fe7567f6433c95449e0e8876cbc81ce7b2f673774 \ + --hash=sha256:42f2167731b183f5952f6914cb228ca0567ea9c8dca9698ac17df148f7f919e9 \ + --hash=sha256:444b742dcdb68a58851a5d12892ca8650dbe52cc2e2fea4ea679583c03f86a82 \ + --hash=sha256:47618562af8925345944e79ba4ff969fe42a4cfc634eca3c59af14bd1c37cdb1 \ + --hash=sha256:47fa50681aaa95f33e16b7b871588ca30a130a71832cf188479d6ffe748785ea \ + --hash=sha256:4ea181a5dd6cbb544cb723a54ea9effb4a2cdfcda593f0e9a33cf744e85cc188 \ + --hash=sha256:53d499f3508ef6e798702486c7cee8edd7dd00a404d0bf008bbad4bc246b24ea \ + --hash=sha256:5728306927e866c37515f88989c45f13a089ed61ca454634c2cfe4905318ef64 \ + --hash=sha256:593dbc114073406a9e4d0802c5308adcefb4aa6a5cc781d2b23122e401d85d8c \ + --hash=sha256:5b7fb6eb21b5acd89a453b39f986d8ddc1a239e08efb29c9dfd0ef7a044f0b56 \ + --hash=sha256:5c037e54153050ab038365adb0ba2c4561f24a3924e02e2a64319177f7c32511 \ + --hash=sha256:5c2d5489ba33bd74f685aea65b77fd4eb656ed89140bcc415f38842c7209f0d9 \ + --hash=sha256:60df803ccf7b37c6e285ffe19d7f9381dd69e0039024fc36decf9867c117c373 \ + --hash=sha256:62230c817a23fecf39db733638da20bd949a9a157060f83de154659fb944c477 \ + --hash=sha256:661a08b314361b9f3f367696f62aa2acf55373e096d77ba2e48db674d716a1d0 \ + --hash=sha256:6625059335cc408009394782e6375ff6def09d6338f1b5495e8896a3042b7a3a \ + --hash=sha256:699226dbfb4a46b0ec7c59058068694e5b11d09198b9f27a045b097319eb2787 \ + --hash=sha256:6a760d7175b28d310360a2e6e6fcaab0bd8b9fb1190e4e138c45e6e2192936fa \ + --hash=sha256:6bdd9c4c311d6e1e4da7cdd3dbe4622a27de228d0470026a713eaabcc9d8aeef \ + --hash=sha256:739bbde529a637620bd713c306cdfad02e37dc03aad2035388c6582d760c11c4 \ + --hash=sha256:7644829d3af080fd5c2f53d75b86f0905d7607f6b92637af2f56b1a1716ac420 \ + --hash=sha256:7cf578d2d4042d18a89de69adfc76d2d1569b9b22cdff7adaaf1a7dbd353aaec \ + --hash=sha256:7e02c582670c7036a466fae7a3b5f40bece372614282839a2b3a0e5447e7d45c \ + --hash=sha256:7e1a9aaf613fc6e5dc968e6d84da7cd5defa252c986a5bf0d6e8e3ec815d9728 \ + --hash=sha256:7fe51c441f61ba592b579fa4a13ba99d48c58a5022f240990ebb28460ff732ac \ + --hash=sha256:826f698a4c712d36fac574b7a19481944d98520e266472250b618857d1470583 \ + --hash=sha256:87e2fbce8b8e1199f8586da7abe92c0fa94727dd0e18bd937a110fa516042435 \ + --hash=sha256:88958f28cd397bc8495c779d7192da4ec372d5633752f3c5ad08c152a92ec4ff \ + --hash=sha256:8a9cca8d770f98a67252aecde57585b135d9cc54f36c636efa4d2ed19d3181f1 \ + --hash=sha256:8c27117dd99b347b10c3a8ddbf4ca3074f24a130607f1628ed5c34279855e59b \ + --hash=sha256:8f75ae1694982a1604a56bb76c9802c8a4d6415a138957e846d3bd93e8e1c228 \ + --hash=sha256:91243a3df970fc5c3d5951e6368928eba907c6e97655f3c372904463194a0108 \ + --hash=sha256:94547bafbb311ef5a391fbbd56ec741cb6a1deaa8e2d186b4c112996d3683b5b \ + --hash=sha256:9d9fafa4d19770c94de0ce5dd8f3f5a1940734077bad9a94e566276a9e577b2b \ + --hash=sha256:a38c1fd6db515ddea1044736ecad302c5c8b00ff2a8f59ea47d1aff57699d27a \ + --hash=sha256:a3ae71432039b452955916ff1d580b1b6cbc874d6ec12a900e0401968b53851b \ + --hash=sha256:a53b08e4d4d91176d94d220d0f15947fc9bc327a568378924f637cfe8b5d1ec9 \ + --hash=sha256:a73d649112144575b5a9d7ee8aba86838c1923d3e546aa9cc01dface35ec2c79 \ + --hash=sha256:b0cfa166a2cd2152258aa75d55c9072590bd9450f755b7da210a839ec7bbce69 \ + --hash=sha256:b73f935b1be1dc93c7761b4b7b008a3c593a9e40ceb3471dbdffa72ecb205b2f \ + --hash=sha256:baa6d508e71d0b513a29b7aa061e9308ae4a1bbff7637db5be5b9f4bcfbe9daa \ + --hash=sha256:bdf54dd452bbd22bcfb64177313b7450221743e228b058cb82eb2464dcbad036 \ + --hash=sha256:bed307390369a52e392e7d7369973613ff04cc52795e30c0a22283bbabbc60d9 \ + --hash=sha256:c3005d611086e370e60ecc6231c94765fe2b69015f2807674f96a1bad9e8abae \ + --hash=sha256:c3f9a27e5a8fee3f7bb4a0ab9a6e5ae3f10606ed59b717b70458708ba10621ca \ + --hash=sha256:c6ebc585254650a7979defa74f6513a5cf57c4fcd093e658a97c35a83e209e90 \ + --hash=sha256:c7f91d1a8d9c8f4444519bd383b2f6176eb0bf10ee46fc30cf3f9ffb34af15ef \ + --hash=sha256:d042c6e1fb68b3868a78412036f6007ce4fc4d6fc8305d12db3b259f02b87ebd \ + --hash=sha256:d2bb0c80c7948fdd176370fde9de946582ee25539024fe03bd59f3e732d1308b \ + --hash=sha256:d3f106393b314e2dcabed309daef534b8990bef88e0ecb1b39e682e75bcf1018 \ + --hash=sha256:d81c03ea744b8591491ed888efc8483d4a84196bd0019f8d54a7f02bbd46782c \ + --hash=sha256:d97c18501ed4be54efa4939158d29de97149111220c809838c05e711aedd96da \ + --hash=sha256:da161ae018dbda698453290217ff6cc47e81fd48730c7c918d9ce5eb7ed46a04 \ + --hash=sha256:dd1d77e1d90d9da1134a7fbf877d7ee258246d80e999e18a86601f876eacb19a \ + --hash=sha256:df256451780ac3fdc6ad7673f6c04c4e228380abcb77fc3d289525a4815d50d7 \ + --hash=sha256:e293f8428b5253d6b1fba3afb6695c910dfc8b16723199f621401fd87f3d4d91 \ + --hash=sha256:e44a0d189b423bef6683c106b97154de4f0e3e6110568a47ccd850337e56f48e \ + --hash=sha256:e70cac53fbfc146e5eb8bbaebb149ede0961b61019ffbc470f959033595ceeb4 \ + --hash=sha256:ecd956e2613e86e698e4dc210862c7ef5a7e2c98c9d5d95b6fbfe23469ad71f2 \ + --hash=sha256:f0dd2ae757a0fb2e09ebe653f8465ba9b0506baf5aeb294f2142e25b41683696 \ + --hash=sha256:f31d1fbccf43d40a3ed82317dc144ffc23445d02d76f65b545d7083606980234 \ + --hash=sha256:f34dcfbf0a311bb7228d891b31944dc3762cf930c8b6c99f08397f99cb57ba2d \ + --hash=sha256:f3fbf377d7b832d5115182ea32d3e1290f785d3d1851bcb8178630759ab4e818 \ + --hash=sha256:f5613b5f7654916596a277d2f78da20db1ed3e60bf16ebf0ee5dc344edc2440b \ + --hash=sha256:fa3332f86a76f5bbee117df94beb4234b6904824c9e2127ff03f4b20cd2c462a \ + --hash=sha256:fb14c19f6b6510926bcfbeffeb21f27afc36eded084be29140fcf4bad22846c1 \ + --hash=sha256:ff3f02c39dbcd592fefd4159225e85331811c2a9837afa98ab8f97eb50064f7f + # via albucore +sympy==1.13.1 \ + --hash=sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8 + # via + # -c python/requirements_compiled.txt + # torch +tabledata==1.3.4 \ + --hash=sha256:1f56e433bfdeb89f4487abfa48c4603a3b07c5d3a3c7e05ff73dd018c24bd0d4 \ + --hash=sha256:e9649cab129d718f3bff4150083b77f8a78c30f6634a30caf692b10fdc60cb97 + # via pytablewriter +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # anyscale + # sacrebleu +tblib==3.0.0 \ + --hash=sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129 \ + --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +tcolorpy==0.1.7 \ + --hash=sha256:0fbf6bf238890bbc2e32662aa25736769a29bf6d880328f310c910a327632614 \ + --hash=sha256:26a59d52027e175a37e0aba72efc99dda43f074db71f55b316d3de37d3251378 + # via pytablewriter +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # pytorch-lightning +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # anyscale +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +threadpoolctl==3.1.0 \ + --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \ + --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 + # via + # -c python/requirements_compiled.txt + # scikit-learn +tiktoken==0.11.0 \ + --hash=sha256:10331d08b5ecf7a780b4fe4d0281328b23ab22cdb4ff65e68d56caeda9940ecc \ + --hash=sha256:13220f12c9e82e399377e768640ddfe28bea962739cc3a869cad98f42c419a89 \ + --hash=sha256:195d84bec46169af3b1349a1495c151d37a0ff4cba73fd08282736be7f92cc6c \ + --hash=sha256:20b977989afe44c94bcc50db1f76971bb26dca44218bd203ba95925ef56f8e7a \ + --hash=sha256:2130127471e293d385179c1f3f9cd445070c0772be73cdafb7cec9a3684c0458 \ + --hash=sha256:2177ffda31dec4023356a441793fed82f7af5291120751dee4d696414f54db0c \ + --hash=sha256:21e43022bf2c33f733ea9b54f6a3f6b4354b909f5a73388fb1b9347ca54a069c \ + --hash=sha256:2302772f035dceb2bcf8e55a735e4604a0b51a6dd50f38218ff664d46ec43807 \ + --hash=sha256:25a512ff25dc6c85b58f5dd4f3d8c674dc05f96b02d66cdacf628d26a4e4866b \ + --hash=sha256:3c518641aee1c52247c2b97e74d8d07d780092af79d5911a6ab5e79359d9b06a \ + --hash=sha256:45927a71ab6643dfd3ef57d515a5db3d199137adf551f66453be098502838b0f \ + --hash=sha256:4ae374c46afadad0f501046db3da1b36cd4dfbfa52af23c998773682446097cf \ + --hash=sha256:5a0517634d67a8a48fd4a4ad73930c3022629a85a217d256a6e9b8b47439d1e4 \ + --hash=sha256:61f1d15822e4404953d499fd1dcc62817a12ae9fb1e4898033ec8fe3915fdf8e \ + --hash=sha256:669a1aa1ad6ebf1b3c26b45deb346f345da7680f845b5ea700bba45c20dea24c \ + --hash=sha256:6a76d53cee2da71ee2731c9caa747398762bda19d7f92665e882fef229cb0b5b \ + --hash=sha256:6ef72aab3ea240646e642413cb363b73869fed4e604dcfd69eec63dc54d603e8 \ + --hash=sha256:7dc6e9ad16a2a75b4c4be7208055a1f707c9510541d94d9cc31f7fbdc8db41d8 \ + --hash=sha256:7f2db627f5c74477c0404b4089fd8a28ae22fa982a6f7d9c7d4c305c375218f3 \ + --hash=sha256:7f929255c705efec7a28bf515e29dc74220b2f07544a8c81b8d69e8efc4578bd \ + --hash=sha256:7fb4effe60574675118b73c6fbfd3b5868e5d7a1f570d6cc0d18724b09ecf318 \ + --hash=sha256:8a9b517d6331d7103f8bef29ef93b3cca95fa766e293147fe7bacddf310d5917 \ + --hash=sha256:94f984c9831fd32688aef4348803b0905d4ae9c432303087bae370dc1381a2b8 \ + --hash=sha256:a5f3f25ffb152ee7fec78e90a5e5ea5b03b4ea240beed03305615847f7a6ace2 \ + --hash=sha256:adb4e308eb64380dc70fa30493e21c93475eaa11669dea313b6bbf8210bfd013 \ + --hash=sha256:b062c82300341dc87e0258c69f79bed725f87e753c21887aea90d272816be882 \ + --hash=sha256:b4ddb1849e6bf0afa6cc1c5d809fb980ca240a5fffe585a04e119519758788c0 \ + --hash=sha256:e363f33c720a055586f730c00e330df4c7ea0024bf1c83a8a9a9dbc054c4f304 \ + --hash=sha256:ece6b76bfeeb61a125c44bbefdfccc279b5288e6007fbedc0d32bfec602df2f2 \ + --hash=sha256:fd9e6b23e860973cf9526544e220b223c60badf5b62e80a33509d6d40e6c8f5d \ + --hash=sha256:fe91581b0ecdd8783ce8cb6e3178f2260a3912e8724d2f2d49552b98714641a1 + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # openai-whisper +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # nbconvert +tokenizers==0.15.2 \ + --hash=sha256:0143e7d9dcd811855c1ce1ab9bf5d96d29bf5e528fd6c7824d0465741e8c10fd \ + --hash=sha256:02272fe48280e0293a04245ca5d919b2c94a48b408b55e858feae9618138aeda \ + --hash=sha256:02458bee6f5f3139f1ebbb6d042b283af712c0981f5bc50edf771d6b762d5e4f \ + --hash=sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee \ + --hash=sha256:05a77cbfebe28a61ab5c3891f9939cc24798b63fa236d84e5f29f3a85a200c00 \ + --hash=sha256:064ff87bb6acdbd693666de9a4b692add41308a2c0ec0770d6385737117215f2 \ + --hash=sha256:06cd0487b1cbfabefb2cc52fbd6b1f8d4c37799bd6c6e1641281adaa6b2504a7 \ + --hash=sha256:0774bccc6608eca23eb9d620196687c8b2360624619623cf4ba9dc9bd53e8b51 \ + --hash=sha256:0cf6b7f1d4dc59af960e6ffdc4faffe6460bbfa8dce27a58bf75755ffdb2526d \ + --hash=sha256:0ef06b9707baeb98b316577acb04f4852239d856b93e9ec3a299622f6084e4be \ + --hash=sha256:0ff110ecc57b7aa4a594396525a3451ad70988e517237fe91c540997c4e50e29 \ + --hash=sha256:107089f135b4ae7817affe6264f8c7a5c5b4fd9a90f9439ed495f54fcea56fb4 \ + --hash=sha256:112a1dd436d2cc06e6ffdc0b06d55ac019a35a63afd26475205cb4b1bf0bfbff \ + --hash=sha256:13ca3611de8d9ddfbc4dc39ef54ab1d2d4aaa114ac8727dfdc6a6ec4be017378 \ + --hash=sha256:158be8ea8554e5ed69acc1ce3fbb23a06060bd4bbb09029431ad6b9a466a7121 \ + --hash=sha256:1cf75d32e8d250781940d07f7eece253f2fe9ecdb1dc7ba6e3833fa17b82fcbc \ + --hash=sha256:1ddba9a2b0c8c81633eca0bb2e1aa5b3a15362b1277f1ae64176d0f6eba78ab1 \ + --hash=sha256:20ea60479de6fc7b8ae756b4b097572372d7e4032e2521c1bbf3d90c90a99ff0 \ + --hash=sha256:2277c36d2d6cdb7876c274547921a42425b6810d38354327dd65a8009acf870c \ + --hash=sha256:237d1bf3361cf2e6463e6c140628e6406766e8b27274f5fcc62c747ae3c6f094 \ + --hash=sha256:2735ecbbf37e52db4ea970e539fd2d450d213517b77745114f92867f3fc246eb \ + --hash=sha256:2ef09bbc16519f6c25d0c7fc0c6a33a6f62923e263c9d7cca4e58b8c61572afb \ + --hash=sha256:32e16bdeffa7c4f46bf2152172ca511808b952701d13e7c18833c0b73cb5c23f \ + --hash=sha256:361abdc068e8afe9c5b818769a48624687fb6aaed49636ee39bec4e95e1a215b \ + --hash=sha256:37aaec5a52e959892870a7c47cef80c53797c0db9149d458460f4f31e2fb250e \ + --hash=sha256:3835738be1de66624fff2f4f6f6684775da4e9c00bde053be7564cbf3545cc66 \ + --hash=sha256:38bfb0204ff3246ca4d5e726e8cc8403bfc931090151e6eede54d0e0cf162ef0 \ + --hash=sha256:38d7ab43c6825abfc0b661d95f39c7f8af2449364f01d331f3b51c94dcff7221 \ + --hash=sha256:3b919afe4df7eb6ac7cafd2bd14fb507d3f408db7a68c43117f579c984a73843 \ + --hash=sha256:3ef5dd1d39797044642dbe53eb2bc56435308432e9c7907728da74c69ee2adca \ + --hash=sha256:3f5e64b0389a2be47091d8cc53c87859783b837ea1a06edd9d8e04004df55a5c \ + --hash=sha256:40b6a4c78da863ff26dbd5ad9a8ecc33d8a8d97b535172601cf00aee9d7ce9ce \ + --hash=sha256:41e39b41e5531d6b2122a77532dbea60e171ef87a3820b5a3888daa847df4153 \ + --hash=sha256:44f2a832cd0825295f7179eaf173381dc45230f9227ec4b44378322d900447c9 \ + --hash=sha256:454c203164e07a860dbeb3b1f4a733be52b0edbb4dd2e5bd75023ffa8b49403a \ + --hash=sha256:4620cca5c2817177ee8706f860364cc3a8845bc1e291aaf661fb899e5d1c45b0 \ + --hash=sha256:473c83c5e2359bb81b0b6fde870b41b2764fcdd36d997485e07e72cc3a62264a \ + --hash=sha256:48e2b9335be2bc0171df9281385c2ed06a15f5cf121c44094338306ab7b33f2c \ + --hash=sha256:494fdbe5932d3416de2a85fc2470b797e6f3226c12845cadf054dd906afd0442 \ + --hash=sha256:4b19a808d8799fda23504a5cd31d2f58e6f52f140380082b352f877017d6342b \ + --hash=sha256:4c4b89038a684f40a6b15d6b09f49650ac64d951ad0f2a3ea9169687bbf2a8ba \ + --hash=sha256:4e022fe65e99230b8fd89ebdfea138c24421f91c1a4f4781a8f5016fd5cdfb4d \ + --hash=sha256:4eeb12daf02a59e29f578a865f55d87cd103ce62bd8a3a5874f8fdeaa82e336b \ + --hash=sha256:4fe1f74a902bee74a3b25aff180fbfbf4f8b444ab37c4d496af7afd13a784ed2 \ + --hash=sha256:508711a108684111ec8af89d3a9e9e08755247eda27d0ba5e3c50e9da1600f6d \ + --hash=sha256:5179c271aa5de9c71712e31cb5a79e436ecd0d7532a408fa42a8dbfa4bc23fd9 \ + --hash=sha256:524e60da0135e106b254bd71f0659be9f89d83f006ea9093ce4d1fab498c6d0d \ + --hash=sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012 \ + --hash=sha256:5645938a42d78c4885086767c70923abad047163d809c16da75d6b290cb30bbe \ + --hash=sha256:5ab2a4d21dcf76af60e05af8063138849eb1d6553a0d059f6534357bce8ba364 \ + --hash=sha256:620beacc3373277700d0e27718aa8b25f7b383eb8001fba94ee00aeea1459d89 \ + --hash=sha256:64c35e09e9899b72a76e762f9854e8750213f67567787d45f37ce06daf57ca78 \ + --hash=sha256:64c86e5e068ac8b19204419ed8ca90f9d25db20578f5881e337d203b314f4104 \ + --hash=sha256:67a0fe1e49e60c664915e9fb6b0cb19bac082ab1f309188230e4b2920230edb3 \ + --hash=sha256:6a9b648a58281c4672212fab04e60648fde574877d0139cd4b4f93fe28ca8944 \ + --hash=sha256:6d76f00f5c32da36c61f41c58346a4fa7f0a61be02f4301fd30ad59834977cc3 \ + --hash=sha256:6fc7083ab404019fc9acafe78662c192673c1e696bd598d16dc005bd663a5cf9 \ + --hash=sha256:708bb3e4283177236309e698da5fcd0879ce8fd37457d7c266d16b550bcbbd18 \ + --hash=sha256:7c0d8b52664ab2d4a8d6686eb5effc68b78608a9008f086a122a7b2996befbab \ + --hash=sha256:7c7d18b733be6bbca8a55084027f7be428c947ddf871c500ee603e375013ffba \ + --hash=sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5 \ + --hash=sha256:7ef789f83eb0f9baeb4d09a86cd639c0a5518528f9992f38b28e819df397eb06 \ + --hash=sha256:82f8652a74cc107052328b87ea8b34291c0f55b96d8fb261b3880216a9f9e48e \ + --hash=sha256:865c60ae6eaebdde7da66191ee9b7db52e542ed8ee9d2c653b6d190a9351b980 \ + --hash=sha256:89cd1cb93e4b12ff39bb2d626ad77e35209de9309a71e4d3d4672667b4b256e7 \ + --hash=sha256:8b9ec69247a23747669ec4b0ca10f8e3dfb3545d550258129bd62291aabe8605 \ + --hash=sha256:918fbb0eab96fe08e72a8c2b5461e9cce95585d82a58688e7f01c2bd546c79d0 \ + --hash=sha256:93268e788825f52de4c7bdcb6ebc1fcd4a5442c02e730faa9b6b08f23ead0e24 \ + --hash=sha256:936bf3842db5b2048eaa53dade907b1160f318e7c90c74bfab86f1e47720bdd6 \ + --hash=sha256:968fa1fb3c27398b28a4eca1cbd1e19355c4d3a6007f7398d48826bbe3a0f728 \ + --hash=sha256:9ba9f6895af58487ca4f54e8a664a322f16c26bbb442effd01087eba391a719e \ + --hash=sha256:9c861d35e8286a53e06e9e28d030b5a05bcbf5ac9d7229e561e53c352a85b1fc \ + --hash=sha256:9e0480c452217edd35eca56fafe2029fb4d368b7c0475f8dfa3c5c9c400a7456 \ + --hash=sha256:a308a607ca9de2c64c1b9ba79ec9a403969715a1b8ba5f998a676826f1a7039d \ + --hash=sha256:a33ab881c8fe70474980577e033d0bc9a27b7ab8272896e500708b212995d834 \ + --hash=sha256:a47acfac7e511f6bbfcf2d3fb8c26979c780a91e06fb5b9a43831b2c0153d024 \ + --hash=sha256:a907d76dcfda37023ba203ab4ceeb21bc5683436ebefbd895a0841fd52f6f6f2 \ + --hash=sha256:a9b9b070fdad06e347563b88c278995735292ded1132f8657084989a4c84a6d5 \ + --hash=sha256:b10122d8d8e30afb43bb1fe21a3619f62c3e2574bff2699cf8af8b0b6c5dc4a3 \ + --hash=sha256:b8fcfa81bcb9447df582c5bc96a031e6df4da2a774b8080d4f02c0c16b42be0b \ + --hash=sha256:c1257f4394be0d3b00de8c9e840ca5601d0a4a8438361ce9c2b05c7d25f6057b \ + --hash=sha256:c2d60f5246f4da9373f75ff18d64c69cbf60c3bca597290cea01059c336d2470 \ + --hash=sha256:c73e2e74bbb07910da0d37c326869f34113137b23eadad3fc00856e6b3d9930c \ + --hash=sha256:c9a09cd26cca2e1c349f91aa665309ddb48d71636370749414fbf67bc83c5343 \ + --hash=sha256:c9a2ebdd2ad4ec7a68e7615086e633857c85e2f18025bd05d2a4399e6c5f7169 \ + --hash=sha256:cc90102ed17271cf0a1262babe5939e0134b3890345d11a19c3145184b706055 \ + --hash=sha256:ccd73a82751c523b3fc31ff8194702e4af4db21dc20e55b30ecc2079c5d43cb7 \ + --hash=sha256:ccec77aa7150e38eec6878a493bf8c263ff1fa8a62404e16c6203c64c1f16a26 \ + --hash=sha256:cf27fd43472e07b57cf420eee1e814549203d56de00b5af8659cb99885472f1f \ + --hash=sha256:cf7fd9a5141634fa3aa8d6b7be362e6ae1b4cda60da81388fa533e0b552c98fd \ + --hash=sha256:cfed5c64e5be23d7ee0f0e98081a25c2a46b0b77ce99a4f0605b1ec43dd481fa \ + --hash=sha256:d0222c5b7c9b26c0b4822a82f6a7011de0a9d3060e1da176f66274b70f846b98 \ + --hash=sha256:d05a1b06f986d41aed5f2de464c003004b2df8aaf66f2b7628254bcbfb72a438 \ + --hash=sha256:d44ba80988ff9424e33e0a49445072ac7029d8c0e1601ad25a0ca5f41ed0c1d6 \ + --hash=sha256:d857be2df69763362ac699f8b251a8cd3fac9d21893de129bc788f8baaef2693 \ + --hash=sha256:d88b96ff0fe8e91f6ef01ba50b0d71db5017fa4e3b1d99681cec89a85faf7bf7 \ + --hash=sha256:daa348f02d15160cb35439098ac96e3a53bacf35885072611cd9e5be7d333daa \ + --hash=sha256:db35825f6d54215f6b6009a7ff3eedee0848c99a6271c870d2826fbbedf31a38 \ + --hash=sha256:dc3ad9ebc76eabe8b1d7c04d38be884b8f9d60c0cdc09b0aa4e3bcf746de0388 \ + --hash=sha256:dce74266919b892f82b1b86025a613956ea0ea62a4843d4c4237be2c5498ed3a \ + --hash=sha256:de19c4dc503c612847edf833c82e9f73cd79926a384af9d801dcf93f110cea4e \ + --hash=sha256:e2ea752f2b0fe96eb6e2f3adbbf4d72aaa1272079b0dfa1145507bd6a5d537e6 \ + --hash=sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91 \ + --hash=sha256:ea09acd2fe3324174063d61ad620dec3bcf042b495515f27f638270a7d466e8b \ + --hash=sha256:ea621a7eef4b70e1f7a4e84dd989ae3f0eeb50fc8690254eacc08acb623e82f1 \ + --hash=sha256:f1b3b31884dc8e9b21508bb76da80ebf7308fdb947a17affce815665d5c4d028 \ + --hash=sha256:f33dfbdec3784093a9aebb3680d1f91336c56d86cc70ddf88708251da1fe9064 \ + --hash=sha256:f3f40604f5042ff210ba82743dda2b6aa3e55aa12df4e9f2378ee01a17e2855e \ + --hash=sha256:f86593c18d2e6248e72fb91c77d413a815153b8ea4e31f7cd443bdf28e467670 \ + --hash=sha256:fb16ba563d59003028b678d2361a27f7e4ae0ab29c7a80690efa20d829c81fdb + # via + # -c python/requirements_compiled.txt + # transformers +tomli==2.0.1 ; python_full_version < '3.11' \ + --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ + --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f + # via + # -c python/requirements_compiled.txt + # jupyterlab + # jupytext + # pytest +torch==2.3.0+cpu \ + --hash=sha256:1e86e225e472392440ace378ba3165b5e87648e8b5fbf16adc41c0df881c38b8 \ + --hash=sha256:28a11bcc0d709b397d675cff689707019b8cc122e6bf328b57b900f47c36f156 \ + --hash=sha256:483131a7997995d867313ee902743084e844e830ab2a0c5e079c61ec2da3cd17 \ + --hash=sha256:5c2afdff80203eaabf4c223a294c2f465020b3360e8e87f76b52ace9c5801ebe \ + --hash=sha256:8c52484880d5fbe511cffc255dd34847ddeced3f94334c6bf7eb2b0445f10cb4 \ + --hash=sha256:97a38b25ee0e3d020691e7846efbca62a3d8a57645c027dcb5ba0adfec36fe55 \ + --hash=sha256:a8982e52185771591dad577a124a7770f72f288f8ae5833317b1e329c0d2f07e \ + --hash=sha256:a8ac195974be6f067245bae8156b8c06fb0a723b0eed8f2e244b5dd58c7e2a49 \ + --hash=sha256:ab0c05525195b8fecdf2ea75968ed32ccd87dff16381b6e13249babb4a9596ff \ + --hash=sha256:e3c220702d82c7596924150e0499fbbffcf62a88a59adc860fa357cd8dc1c302 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # accelerate + # bitsandbytes + # deepspeed + # fairscale + # lm-eval + # openai-whisper + # peft + # pytorch-lightning + # torchaudio + # torchmetrics + # torchtext +torchaudio==2.3.0+cpu \ + --hash=sha256:19e21c8eac310df3eeb55a930f726270cd71b8dd5ab9ae1f5a5915f5791fc9d3 \ + --hash=sha256:1db629f210e19bbfde5715b285ae5e15bafdf037877eb7538b221742906e05ba \ + --hash=sha256:2cbf497e48b5e80c12861d2f1d40ae035eb6c1aabda6264a547e11ee8c6dff60 \ + --hash=sha256:424499caf711673302263c22422d3a6a9e37c918776205081315ef6870dafde2 \ + --hash=sha256:7e59daaa546fa5852f99a84d718c36112278d295c467585d451eb3cb5b9c7645 \ + --hash=sha256:850c9e4f0c7b8a7785458ef3142adcb1fbb52c4cede46492e93f2dea3aad4cb6 \ + --hash=sha256:8d4eb6acc3e2039ee63b085c23fe193e8b32c09beb360c49b9d25c26a8455b22 \ + --hash=sha256:d738723dfcb90a7d11d46d89dd48e0215af16096f5084fcb712aacdc805f76dd \ + --hash=sha256:dd3d6944a480bc59f8cf6c72fd06e1f3d446c8c0dbf2a96c721943bc980a3248 \ + --hash=sha256:fec488d1e034a78b58de46552fd684868ee8e49853c3b901628be9dbbc40095b + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +torchmetrics==0.10.3 \ + --hash=sha256:9e6ab66175f2dc13e246c37485b2c27c77931dfe47fc2b81c76217b8efdc1e57 \ + --hash=sha256:b12cf92897545e24a825b0d168888c0f3052700c2901e2d4f7d90b252bc4a343 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # pytorch-lightning +torchtext==0.18.0+cpu \ + --hash=sha256:128b4356d96059e6550b58d18e6a1147c85e3e0a91780cd87bfec45a36a73863 \ + --hash=sha256:1b6a6c2cfcae95ef8cd41e28e7081749cde738c56bbbedf773e6d74ed3728538 \ + --hash=sha256:36cceed5c2aedb3d765341ed747fbf3e5693e4bc3ab82f43d40768b1770fdbe9 \ + --hash=sha256:489a817093990d208fca447509f125292cd484eff5e058289c614271c98c4f4b \ + --hash=sha256:8e8c5ef34df27749f293c03d4b8a63f7ac9e587ae31aef4cb27537026a564f4f \ + --hash=sha256:a388b78c6361fdf8da3336802d7801df4dcfc1a09475fae379da77cd7877f8c2 \ + --hash=sha256:bf24e274d8aefba3b02ffe42b32df48ca0a77b20c78d4326d620d8c3e0b947a3 \ + --hash=sha256:c28bede9fad3c89898901a815aa0f2e78e1d342c28b38664e1d7ea5e616f9b12 \ + --hash=sha256:c760e672265cd6f3e4a7c8d4a78afe9e9617deacda926a743479ee0418d4207d \ + --hash=sha256:f4dc0083c5b1b73109dd7f4fbade067f6ba1cd76a349dec35b4ba7e0599d3f66 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +tornado==6.1 \ + --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ + --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ + --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ + --hash=sha256:20241b3cb4f425e971cb0a8e4ffc9b0a861530ae3c52f2b0434e6c1b57e9fd95 \ + --hash=sha256:25ad220258349a12ae87ede08a7b04aca51237721f63b1808d39bdb4b2164558 \ + --hash=sha256:33892118b165401f291070100d6d09359ca74addda679b60390b09f8ef325ffe \ + --hash=sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791 \ + --hash=sha256:3447475585bae2e77ecb832fc0300c3695516a47d46cefa0528181a34c5b9d3d \ + --hash=sha256:34ca2dac9e4d7afb0bed4677512e36a52f09caa6fded70b4e3e1c89dbd92c326 \ + --hash=sha256:3e63498f680547ed24d2c71e6497f24bca791aca2fe116dbc2bd0ac7f191691b \ + --hash=sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4 \ + --hash=sha256:6196a5c39286cc37c024cd78834fb9345e464525d8991c21e908cc046d1cc02c \ + --hash=sha256:61b32d06ae8a036a6607805e6720ef00a3c98207038444ba7fd3d169cd998910 \ + --hash=sha256:6286efab1ed6e74b7028327365cf7346b1d777d63ab30e21a0f4d5b275fc17d5 \ + --hash=sha256:65d98939f1a2e74b58839f8c4dab3b6b3c1ce84972ae712be02845e65391ac7c \ + --hash=sha256:66324e4e1beede9ac79e60f88de548da58b1f8ab4b2f1354d8375774f997e6c0 \ + --hash=sha256:6c77c9937962577a6a76917845d06af6ab9197702a42e1346d8ae2e76b5e3675 \ + --hash=sha256:70dec29e8ac485dbf57481baee40781c63e381bebea080991893cd297742b8fd \ + --hash=sha256:7250a3fa399f08ec9cb3f7b1b987955d17e044f1ade821b32e5f435130250d7f \ + --hash=sha256:748290bf9112b581c525e6e6d3820621ff020ed95af6f17fedef416b27ed564c \ + --hash=sha256:7da13da6f985aab7f6f28debab00c67ff9cbacd588e8477034c0652ac141feea \ + --hash=sha256:8f959b26f2634a091bb42241c3ed8d3cedb506e7c27b8dd5c7b9f745318ddbb6 \ + --hash=sha256:9de9e5188a782be6b1ce866e8a51bc76a0fbaa0e16613823fc38e4fc2556ad05 \ + --hash=sha256:a48900ecea1cbb71b8c71c620dee15b62f85f7c14189bdeee54966fbd9a0c5bd \ + --hash=sha256:b87936fd2c317b6ee08a5741ea06b9d11a6074ef4cc42e031bc6403f82a32575 \ + --hash=sha256:c77da1263aa361938476f04c4b6c8916001b90b2c2fdd92d8d535e1af48fba5a \ + --hash=sha256:cb5ec8eead331e3bb4ce8066cf06d2dfef1bfb1b2a73082dfe8a161301b76e37 \ + --hash=sha256:cc0ee35043162abbf717b7df924597ade8e5395e7b66d18270116f8745ceb795 \ + --hash=sha256:d14d30e7f46a0476efb0deb5b61343b1526f73ebb5ed84f23dc794bdb88f9d9f \ + --hash=sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32 \ + --hash=sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c \ + --hash=sha256:d3f7594930c423fd9f5d1a76bee85a2c36fd8b4b16921cae7e965f22575e9c01 \ + --hash=sha256:dcef026f608f678c118779cd6591c8af6e9b4155c44e0d1bc0c87c036fb8c8c4 \ + --hash=sha256:e0791ac58d91ac58f694d8d2957884df8e4e2f6687cdf367ef7eb7497f79eaa2 \ + --hash=sha256:e385b637ac3acaae8022e7e47dfa7b83d3620e432e3ecb9a3f7f58f150e50921 \ + --hash=sha256:e519d64089b0876c7b467274468709dadf11e41d65f63bba207e04217f47c085 \ + --hash=sha256:e7229e60ac41a1202444497ddde70a48d33909e484f96eb0da9baf8dc68541df \ + --hash=sha256:ed3ad863b1b40cd1d4bd21e7498329ccaece75db5a5bf58cd3c9f130843e7102 \ + --hash=sha256:f0ba29bafd8e7e22920567ce0d232c26d4d47c8b5cf4ed7b562b5db39fa199c5 \ + --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ + --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 + # via + # -c python/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # anyscale + # datasets + # deepspeed + # evaluate + # huggingface-hub + # nltk + # openai-whisper + # peft + # pytorch-lightning + # statsforecast + # torchtext + # tqdm-multiprocess + # transformers +tqdm-multiprocess==0.0.11 \ + --hash=sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa \ + --hash=sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7 + # via lm-eval +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +transformers==4.36.2 \ + --hash=sha256:462066c4f74ee52516f12890dcc9ec71d1a5e97998db621668455117a54330f6 \ + --hash=sha256:d8068e897e47793281501e547d2bbdfc5b8556409c2cb6c3d9e2ca77d4c0b4ec + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval + # peft +triad==0.9.8 \ + --hash=sha256:2c0ba7d83977c6d4e7b59e3cc70727f858014ef7676c62d184aa8e63f7bef5de \ + --hash=sha256:5b67673124891981daf8afbab44b2e6358932ca35ef3ff38a25bc3e0f6f03f17 + # via + # -c python/requirements_compiled.txt + # adagio + # fugue + # fugue-sql-antlr + # qpd +triton==2.3.0 \ + --hash=sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440 \ + --hash=sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0 \ + --hash=sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c \ + --hash=sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd \ + --hash=sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8 \ + --hash=sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65 + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # openai-whisper +trueskill==0.4.5 \ + --hash=sha256:9d62b48d2428369d712bd9becff9f9a2caa325e1a2ab5f9392d34bff757867bb + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +typepy==1.3.4 \ + --hash=sha256:89c1f66de6c6133209c43a94d23431d320ba03ef5db18f241091ea594035d9de \ + --hash=sha256:d5ed3e0c7f49521bff0603dd08cf8d453371cf68d65a29d3d0038552ccc46e2e + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # dataproperty + # pytablewriter + # tabledata +typer==0.12.3 \ + --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ + --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # exceptiongroup + # fastapi + # huggingface-hub + # lightning-utilities + # pydantic + # pydantic-core + # pyopenssl + # pytorch-lightning + # referencing + # torch + # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # pydantic +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # anyscale + # botocore + # geventhttpclient + # requests + # sentry-sdk +utilsforecast==0.2.0 \ + --hash=sha256:3db4245da4e361f26c8eaeef216c2d1206b20defbb033bf11d3e66ce2b1d6ef8 \ + --hash=sha256:a4825bf8da547e3dc552f9b9a7a8159341a118c3a5d122191f09bc3683cba433 + # via + # -c python/requirements_compiled.txt + # statsforecast +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +validators==0.35.0 \ + --hash=sha256:992d6c48a4e77c81f1b4daba10d16c3a9bb0dbb79b3a19ea847ff0928e70497a \ + --hash=sha256:e8c947097eae7892cb3d26868d637f79f47b4a0554bc6b80065dfe5aac3705dd + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +wandb==0.17.0 \ + --hash=sha256:1f692d3063a0d50474022cfe6668e1828260436d1cd40827d1e136b7f730c74c \ + --hash=sha256:56a1dd6e0e635cba3f6ed30b52c71739bdc2a3e57df155619d2d80ee952b4201 \ + --hash=sha256:ab582ca0d54d52ef5b991de0717350b835400d9ac2d3adab210022b68338d694 \ + --hash=sha256:b1b056b4cad83b00436cb76049fd29ecedc6045999dcaa5eba40db6680960ac2 \ + --hash=sha256:b7bed8a3dd404a639e6bf5fea38c6efe2fb98d416ff1db4fb51be741278ed328 \ + --hash=sha256:e1e6f04e093a6a027dcb100618ca23b122d032204b2ed4c62e4e991a48041a6b \ + --hash=sha256:feeb60d4ff506d2a6bc67f953b310d70b004faa789479c03ccd1559c6f1a9633 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # anyscale +werkzeug==2.3.8 \ + --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ + --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 + # via + # -c python/requirements_compiled.txt + # flask + # locust +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # anyscale +xgboost==2.1.0 \ + --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ + --hash=sha256:43b16205689249d7509daf7a6ab00ad0e6c570b3a9c263cb32b26e39d9477bb3 \ + --hash=sha256:7144980923e76ce741c7b03a14d3bd7514db6de5c7cabe96ba95b229d274f5ca \ + --hash=sha256:73673c9bb85927db7fe2e3aed6df6d35dba708cfd6767cc63d4ea11dda2dede5 \ + --hash=sha256:74904b91c42524a6c32147fe5718569e78fb65911ff4499b053f81d0964514d4 \ + --hash=sha256:840a0c6e2119d8c8f260a5dace996ea064a267f62b301a25d7d452488a7ac860 \ + --hash=sha256:b2a456eb0f3d3e8fd8ab37e44ac288292bf8ea8744c294be9fd88713d27af810 \ + --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 + # via + # -c python/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +xxhash==3.4.1 \ + --hash=sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b \ + --hash=sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9 \ + --hash=sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa \ + --hash=sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b \ + --hash=sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681 \ + --hash=sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f \ + --hash=sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2 \ + --hash=sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583 \ + --hash=sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8 \ + --hash=sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4 \ + --hash=sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0 \ + --hash=sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f \ + --hash=sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11 \ + --hash=sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920 \ + --hash=sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46 \ + --hash=sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088 \ + --hash=sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee \ + --hash=sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2 \ + --hash=sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e \ + --hash=sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624 \ + --hash=sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799 \ + --hash=sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137 \ + --hash=sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647 \ + --hash=sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc \ + --hash=sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2 \ + --hash=sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3 \ + --hash=sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663 \ + --hash=sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22 \ + --hash=sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1 \ + --hash=sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec \ + --hash=sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e \ + --hash=sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5 \ + --hash=sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6 \ + --hash=sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189 \ + --hash=sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476 \ + --hash=sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3 \ + --hash=sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562 \ + --hash=sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e \ + --hash=sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2 \ + --hash=sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0 \ + --hash=sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03 \ + --hash=sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b \ + --hash=sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93 \ + --hash=sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9 \ + --hash=sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844 \ + --hash=sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6 \ + --hash=sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de \ + --hash=sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b \ + --hash=sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff \ + --hash=sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940 \ + --hash=sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6 \ + --hash=sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df \ + --hash=sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4 \ + --hash=sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c \ + --hash=sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5 \ + --hash=sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747 \ + --hash=sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f \ + --hash=sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45 \ + --hash=sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3 \ + --hash=sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795 \ + --hash=sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b \ + --hash=sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228 \ + --hash=sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c \ + --hash=sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537 \ + --hash=sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78 \ + --hash=sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84 \ + --hash=sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb \ + --hash=sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5 \ + --hash=sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e \ + --hash=sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa \ + --hash=sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594 \ + --hash=sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a \ + --hash=sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641 \ + --hash=sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3 \ + --hash=sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc \ + --hash=sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520 \ + --hash=sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da \ + --hash=sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52 \ + --hash=sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54 \ + --hash=sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693 \ + --hash=sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6 \ + --hash=sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce \ + --hash=sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f \ + --hash=sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3 \ + --hash=sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a \ + --hash=sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f \ + --hash=sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51 \ + --hash=sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832 \ + --hash=sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf \ + --hash=sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b \ + --hash=sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31 \ + --hash=sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f \ + --hash=sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10 \ + --hash=sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f \ + --hash=sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9 \ + --hash=sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6 \ + --hash=sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a \ + --hash=sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3 \ + --hash=sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7 \ + --hash=sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa \ + --hash=sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817 \ + --hash=sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1 \ + --hash=sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0 \ + --hash=sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49 \ + --hash=sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b \ + --hash=sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d \ + --hash=sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb \ + --hash=sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182 + # via + # -c python/requirements_compiled.txt + # datasets + # evaluate +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # jupyter-server-ydoc +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # importlib-metadata +zope-event==6.0 \ + --hash=sha256:0ebac894fa7c5f8b7a89141c272133d8c1de6ddc75ea4b1f327f00d1f890df92 \ + --hash=sha256:6f0922593407cc673e7d8766b492c519f91bdc99f3080fe43dcec0a800d682a3 + # via gevent +zope-interface==8.0 \ + --hash=sha256:07405019f635a93b318807cb2ec7b05a5ef30f67cf913d11eb2f156ddbcead0d \ + --hash=sha256:0caca2915522451e92c96c2aec404d2687e9c5cb856766940319b3973f62abb8 \ + --hash=sha256:160ba50022b342451baf516de3e3a2cd2d8c8dbac216803889a5eefa67083688 \ + --hash=sha256:1858d1e5bb2c5ae766890708184a603eb484bb7454e306e967932a9f3c558b07 \ + --hash=sha256:1bee9c1b42513148f98d3918affd829804a5c992c000c290dc805f25a75a6a3f \ + --hash=sha256:450ab3357799eed6093f3a9f1fa22761b3a9de9ebaf57f416da2c9fb7122cdcb \ + --hash=sha256:453d2c6668778b8d2215430ed61e04417386e51afb23637ef2e14972b047b700 \ + --hash=sha256:4d639d5015c1753031e180b8ef81e72bb7d47b0aca0218694ad1f19b0a6c6b63 \ + --hash=sha256:5cffe23eb610e32a83283dde5413ab7a17938fa3fbd023ca3e529d724219deb0 \ + --hash=sha256:67047a4470cb2fddb5ba5105b0160a1d1c30ce4b300cf264d0563136adac4eac \ + --hash=sha256:778458ea69413cf8131a3fcc6f0ea2792d07df605422fb03ad87daca3f8f78ce \ + --hash=sha256:7e88c66ebedd1e839082f308b8372a50ef19423e01ee2e09600b80e765a10234 \ + --hash=sha256:7fb931bf55c66a092c5fbfb82a0ff3cc3221149b185bde36f0afc48acb8dcd92 \ + --hash=sha256:804ebacb2776eb89a57d9b5e9abec86930e0ee784a0005030801ae2f6c04d5d8 \ + --hash=sha256:879bb5bf937cde4acd738264e87f03c7bf7d45478f7c8b9dc417182b13d81f6c \ + --hash=sha256:a26ae2fe77c58b4df8c39c2b7c3aadedfd44225a1b54a1d74837cd27057b2fc8 \ + --hash=sha256:a2c107cc6dff954be25399cd81ddc390667f79af306802fc0c1de98614348b70 \ + --hash=sha256:a9a8a71c38628af82a9ea1f7be58e5d19360a38067080c8896f6cbabe167e4f8 \ + --hash=sha256:b14d5aac547e635af749ce20bf49a3f5f93b8a854d2a6b1e95d4d5e5dc618f7d \ + --hash=sha256:b207966f39c2e6fcfe9b68333acb7b19afd3fdda29eccc4643f8d52c180a3185 \ + --hash=sha256:b80447a3a5c7347f4ebf3e50de319c8d2a5dabd7de32f20899ac50fc275b145d \ + --hash=sha256:c0cc51ebd984945362fd3abdc1e140dbd837c3e3b680942b3fa24fe3aac26ef8 \ + --hash=sha256:c23af5b4c4e332253d721ec1222c809ad27ceae382ad5b8ff22c4c4fb6eb8ed5 \ + --hash=sha256:c4d9d3982aaa88b177812cd911ceaf5ffee4829e86ab3273c89428f2c0c32cc4 \ + --hash=sha256:daf4d6ba488a0fb560980b575244aa962a75e77b7c86984138b8d52bd4b5465f \ + --hash=sha256:dee2d1db1067e8a4b682dde7eb4bff21775412358e142f4f98c9066173f9dacd \ + --hash=sha256:e38bb30a58887d63b80b01115ab5e8be6158b44d00b67197186385ec7efe44c7 \ + --hash=sha256:e3cf57f90a760c56c55668f650ba20c3444cde8332820db621c9a1aafc217471 \ + --hash=sha256:ea1f2e47bc0124a03ee1e5fb31aee5dfde876244bcc552b9e3eb20b041b350d7 \ + --hash=sha256:ec1da7b9156ae000cea2d19bad83ddb5c50252f9d7b186da276d17768c67a3cb \ + --hash=sha256:ee9ecad04269c2da4b1be403a47993981531ffd557064b870eab4094730e5062 + # via gevent +zstandard==0.23.0 \ + --hash=sha256:034b88913ecc1b097f528e42b539453fa82c3557e414b3de9d5632c80439a473 \ + --hash=sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916 \ + --hash=sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15 \ + --hash=sha256:12a289832e520c6bd4dcaad68e944b86da3bad0d339ef7989fb7e88f92e96072 \ + --hash=sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4 \ + --hash=sha256:157e89ceb4054029a289fb504c98c6a9fe8010f1680de0201b3eb5dc20aa6d9e \ + --hash=sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26 \ + --hash=sha256:1e172f57cd78c20f13a3415cc8dfe24bf388614324d25539146594c16d78fcc8 \ + --hash=sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5 \ + --hash=sha256:203d236f4c94cd8379d1ea61db2fce20730b4c38d7f1c34506a31b34edc87bdd \ + --hash=sha256:27d3ef2252d2e62476389ca8f9b0cf2bbafb082a3b6bfe9d90cbcbb5529ecf7c \ + --hash=sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db \ + --hash=sha256:2ef230a8fd217a2015bc91b74f6b3b7d6522ba48be29ad4ea0ca3a3775bf7dd5 \ + --hash=sha256:2ef3775758346d9ac6214123887d25c7061c92afe1f2b354f9388e9e4d48acfc \ + --hash=sha256:2f146f50723defec2975fb7e388ae3a024eb7151542d1599527ec2aa9cacb152 \ + --hash=sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269 \ + --hash=sha256:32ba3b5ccde2d581b1e6aa952c836a6291e8435d788f656fe5976445865ae045 \ + --hash=sha256:34895a41273ad33347b2fc70e1bff4240556de3c46c6ea430a7ed91f9042aa4e \ + --hash=sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d \ + --hash=sha256:38302b78a850ff82656beaddeb0bb989a0322a8bbb1bf1ab10c17506681d772a \ + --hash=sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb \ + --hash=sha256:4051e406288b8cdbb993798b9a45c59a4896b6ecee2f875424ec10276a895740 \ + --hash=sha256:40b33d93c6eddf02d2c19f5773196068d875c41ca25730e8288e9b672897c105 \ + --hash=sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274 \ + --hash=sha256:445e4cb5048b04e90ce96a79b4b63140e3f4ab5f662321975679b5f6360b90e2 \ + --hash=sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58 \ + --hash=sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b \ + --hash=sha256:519fbf169dfac1222a76ba8861ef4ac7f0530c35dd79ba5727014613f91613d4 \ + --hash=sha256:53dd9d5e3d29f95acd5de6802e909ada8d8d8cfa37a3ac64836f3bc4bc5512db \ + --hash=sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e \ + --hash=sha256:576856e8594e6649aee06ddbfc738fec6a834f7c85bf7cadd1c53d4a58186ef9 \ + --hash=sha256:59556bf80a7094d0cfb9f5e50bb2db27fefb75d5138bb16fb052b61b0e0eeeb0 \ + --hash=sha256:5d41d5e025f1e0bccae4928981e71b2334c60f580bdc8345f824e7c0a4c2a813 \ + --hash=sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e \ + --hash=sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512 \ + --hash=sha256:62136da96a973bd2557f06ddd4e8e807f9e13cbb0bfb9cc06cfe6d98ea90dfe0 \ + --hash=sha256:64585e1dba664dc67c7cdabd56c1e5685233fbb1fc1966cfba2a340ec0dfff7b \ + --hash=sha256:65308f4b4890aa12d9b6ad9f2844b7ee42c7f7a4fd3390425b242ffc57498f48 \ + --hash=sha256:66b689c107857eceabf2cf3d3fc699c3c0fe8ccd18df2219d978c0283e4c508a \ + --hash=sha256:6a41c120c3dbc0d81a8e8adc73312d668cd34acd7725f036992b1b72d22c1772 \ + --hash=sha256:6f77fa49079891a4aab203d0b1744acc85577ed16d767b52fc089d83faf8d8ed \ + --hash=sha256:72c68dda124a1a138340fb62fa21b9bf4848437d9ca60bd35db36f2d3345f373 \ + --hash=sha256:752bf8a74412b9892f4e5b58f2f890a039f57037f52c89a740757ebd807f33ea \ + --hash=sha256:76e79bc28a65f467e0409098fa2c4376931fd3207fbeb6b956c7c476d53746dd \ + --hash=sha256:774d45b1fac1461f48698a9d4b5fa19a69d47ece02fa469825b442263f04021f \ + --hash=sha256:77da4c6bfa20dd5ea25cbf12c76f181a8e8cd7ea231c673828d0386b1740b8dc \ + --hash=sha256:77ea385f7dd5b5676d7fd943292ffa18fbf5c72ba98f7d09fc1fb9e819b34c23 \ + --hash=sha256:80080816b4f52a9d886e67f1f96912891074903238fe54f2de8b786f86baded2 \ + --hash=sha256:80a539906390591dd39ebb8d773771dc4db82ace6372c4d41e2d293f8e32b8db \ + --hash=sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70 \ + --hash=sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259 \ + --hash=sha256:84433dddea68571a6d6bd4fbf8ff398236031149116a7fff6f777ff95cad3df9 \ + --hash=sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700 \ + --hash=sha256:8ed7d27cb56b3e058d3cf684d7200703bcae623e1dcc06ed1e18ecda39fee003 \ + --hash=sha256:9206649ec587e6b02bd124fb7799b86cddec350f6f6c14bc82a2b70183e708ba \ + --hash=sha256:983b6efd649723474f29ed42e1467f90a35a74793437d0bc64a5bf482bedfa0a \ + --hash=sha256:98da17ce9cbf3bfe4617e836d561e433f871129e3a7ac16d6ef4c680f13a839c \ + --hash=sha256:9c236e635582742fee16603042553d276cca506e824fa2e6489db04039521e90 \ + --hash=sha256:9da6bc32faac9a293ddfdcb9108d4b20416219461e4ec64dfea8383cac186690 \ + --hash=sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f \ + --hash=sha256:a0817825b900fcd43ac5d05b8b3079937073d2b1ff9cf89427590718b70dd840 \ + --hash=sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d \ + --hash=sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9 \ + --hash=sha256:a8fffdbd9d1408006baaf02f1068d7dd1f016c6bcb7538682622c556e7b68e35 \ + --hash=sha256:a9b07268d0c3ca5c170a385a0ab9fb7fdd9f5fd866be004c4ea39e44edce47dd \ + --hash=sha256:ab19a2d91963ed9e42b4e8d77cd847ae8381576585bad79dbd0a8837a9f6620a \ + --hash=sha256:ac184f87ff521f4840e6ea0b10c0ec90c6b1dcd0bad2f1e4a9a1b4fa177982ea \ + --hash=sha256:b0e166f698c5a3e914947388c162be2583e0c638a4703fc6a543e23a88dea3c1 \ + --hash=sha256:b2170c7e0367dde86a2647ed5b6f57394ea7f53545746104c6b09fc1f4223573 \ + --hash=sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09 \ + --hash=sha256:b4567955a6bc1b20e9c31612e615af6b53733491aeaa19a6b3b37f3b65477094 \ + --hash=sha256:b69bb4f51daf461b15e7b3db033160937d3ff88303a7bc808c67bbc1eaf98c78 \ + --hash=sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9 \ + --hash=sha256:be9b5b8659dff1f913039c2feee1aca499cfbc19e98fa12bc85e037c17ec6ca5 \ + --hash=sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9 \ + --hash=sha256:c16842b846a8d2a145223f520b7e18b57c8f476924bda92aeee3a88d11cfc391 \ + --hash=sha256:c363b53e257246a954ebc7c488304b5592b9c53fbe74d03bc1c64dda153fb847 \ + --hash=sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2 \ + --hash=sha256:d20fd853fbb5807c8e84c136c278827b6167ded66c72ec6f9a14b863d809211c \ + --hash=sha256:d2240ddc86b74966c34554c49d00eaafa8200a18d3a5b6ffbf7da63b11d74ee2 \ + --hash=sha256:d477ed829077cd945b01fc3115edd132c47e6540ddcd96ca169facff28173057 \ + --hash=sha256:d50d31bfedd53a928fed6707b15a8dbeef011bb6366297cc435accc888b27c20 \ + --hash=sha256:dc1d33abb8a0d754ea4763bad944fd965d3d95b5baef6b121c0c9013eaf1907d \ + --hash=sha256:dc5d1a49d3f8262be192589a4b72f0d03b72dcf46c51ad5852a4fdc67be7b9e4 \ + --hash=sha256:e2d1a054f8f0a191004675755448d12be47fa9bebbcffa3cdf01db19f2d30a54 \ + --hash=sha256:e7792606d606c8df5277c32ccb58f29b9b8603bf83b48639b7aedf6df4fe8171 \ + --hash=sha256:ed1708dbf4d2e3a1c5c69110ba2b4eb6678262028afd6c6fbcc5a8dac9cda68e \ + --hash=sha256:f2d4380bf5f62daabd7b751ea2339c1a21d1c9463f1feb7fc2bdcea2c29c3160 \ + --hash=sha256:f3513916e8c645d0610815c257cbfd3242adfd5c4cfa78be514e5a3ebb42a41b \ + --hash=sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58 \ + --hash=sha256:f83fa6cae3fff8e98691248c9320356971b59678a17f20656a9e59cd32cee6d8 \ + --hash=sha256:fa6ce8b52c5987b3e34d5674b0ab529a4602b632ebab0a93b07bfb4dfc8f8a33 \ + --hash=sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a \ + --hash=sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880 \ + --hash=sha256:fd30d9c67d13d891f2360b2a120186729c111238ac63b43dbd37a5a40670b8ca \ + --hash=sha256:fd7699e8fd9969f455ef2926221e0233f81a2542921471382e77a9e2f2b57f4b \ + --hash=sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69 + # via + # -c python/requirements_compiled.txt + # lm-eval + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.9.lock b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.9.lock new file mode 100644 index 000000000000..9e9f101d2ace --- /dev/null +++ b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.9.lock @@ -0,0 +1,6285 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile --generate-hashes --strip-extras --unsafe-package setuptools --index-url https://pypi.org/simple --index-strategy unsafe-best-match --no-strip-markers --emit-index-url --emit-find-links --python-version=3.9 --python-platform=linux -c python/requirements_compiled.txt release/ray_release/byod/requirements_ml_byod_3.9.in docker/base-deps/requirements.in docker/base-extra/requirements.in -o release/ray_release/byod/ray_ml_base_extra_testdeps_py3.9.lock +--index-url https://pypi.org/simple +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +absl-py==1.4.0 \ + --hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \ + --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # rouge-score +accelerate==0.28.0 \ + --hash=sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5 \ + --hash=sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # lm-eval + # peft +adagio==0.2.4 \ + --hash=sha256:c6c4d812f629fc3141284a0b3cfe483731b28da3a1b18f3d5498695ff87dcc12 \ + --hash=sha256:e58abc4539184a65faf9956957d3787616bedeb1303ac5c9b1a201d8af6b87d7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fugue + # qpd +adlfs==2023.8.0 \ + --hash=sha256:07e804f6df4593acfcaf01025b162e30ac13e523d3570279c98b2d91a18026d9 \ + --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in +aiofiles==22.1.0 \ + --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ + --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ypy-websocket +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # anyscale + # fsspec + # gcsfs + # google-auth +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +aiosqlite==0.19.0 \ + --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ + --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ypy-websocket +albucore==0.0.24 \ + --hash=sha256:adef6e434e50e22c2ee127b7a3e71f2e35fa088bcf54431e18970b62d97d0005 \ + --hash=sha256:f2cab5431fadf94abf87fd0c89d9f59046e49fe5de34afea8f89bc8390253746 + # via albumentations +albumentations==2.0.8 \ + --hash=sha256:4da95e658e490de3c34af8fcdffed09e36aa8a4edd06ca9f9e7e3ea0b0b16856 \ + --hash=sha256:c4c4259aaf04a7386ad85c7fdcb73c6c7146ca3057446b745cc035805acb1017 + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +antlr4-python3-runtime==4.11.1 \ + --hash=sha256:a53de701312f9bdacc5258a6872cd6c62b90d3a90ae25e494026f76267333b60 \ + --hash=sha256:ff1954eda1ca9072c02bf500387d0c86cb549bef4dbb3b64f39468b547ec5f6b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fugue-sql-antlr + # qpd +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # starlette +anyscale==0.26.58 \ + --hash=sha256:30d19f3a191281ddbcd22ab220ea1e58f4aedd4ced6dc62ee51abe1765d6194f \ + --hash=sha256:cca4ef1e514623ca4723a4000614d8b0932fe104c4c76bf033a5e60e4da91d2d + # via -r docker/base-extra/requirements.in +appdirs==1.4.4 \ + --hash=sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41 \ + --hash=sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fs +argcomplete==3.3.0 \ + --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ + --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +argon2-cffi==23.1.0 \ + --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ + --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +argon2-cffi-bindings==21.2.0 \ + --hash=sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670 \ + --hash=sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f \ + --hash=sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583 \ + --hash=sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194 \ + --hash=sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c \ + --hash=sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a \ + --hash=sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082 \ + --hash=sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5 \ + --hash=sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f \ + --hash=sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7 \ + --hash=sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d \ + --hash=sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f \ + --hash=sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae \ + --hash=sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3 \ + --hash=sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86 \ + --hash=sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367 \ + --hash=sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d \ + --hash=sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93 \ + --hash=sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb \ + --hash=sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e \ + --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # argon2-cffi +arrow==1.3.0 \ + --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ + --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # isoduration +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +async-timeout==4.0.3 ; python_full_version < '3.11' \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # jsonlines + # jsonschema + # referencing +azure-common==1.1.28 \ + --hash=sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3 \ + --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # smart-open +azure-core==1.29.5 \ + --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ + --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # azure-identity + # azure-storage-blob + # smart-open +azure-datalake-store==0.0.53 \ + --hash=sha256:05b6de62ee3f2a0a6e6941e6933b792b800c3e7f6ffce2fc324bc19875757393 \ + --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs +azure-identity==1.17.1 \ + --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ + --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # adlfs +azure-storage-blob==12.22.0 \ + --hash=sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e \ + --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # smart-open +babel==2.13.1 \ + --hash=sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900 \ + --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab-server +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +beautifulsoup4==4.11.1 \ + --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ + --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +bitsandbytes==0.47.0 \ + --hash=sha256:2f805b76891a596025e9e13318b675d08481b9ee650d65e5d2f9d844084c6521 \ + --hash=sha256:4880a6d42ca9628b5a571c8cc3093dc3f5f52511e5a9e47d52d569807975531a \ + --hash=sha256:68f3fffd494a47ed1fd7593bfc5dd2ac69b68260599b71b4c4b3a32f90f3b184 + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +bleach==6.1.0 \ + --hash=sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe \ + --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +boto==2.49.0 \ + --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ + --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # anyscale + # smart-open +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # boto3 + # s3transfer +brotli==1.1.0 \ + --hash=sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208 \ + --hash=sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48 \ + --hash=sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354 \ + --hash=sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419 \ + --hash=sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a \ + --hash=sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128 \ + --hash=sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c \ + --hash=sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088 \ + --hash=sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9 \ + --hash=sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a \ + --hash=sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3 \ + --hash=sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757 \ + --hash=sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2 \ + --hash=sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438 \ + --hash=sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578 \ + --hash=sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b \ + --hash=sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b \ + --hash=sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68 \ + --hash=sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0 \ + --hash=sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d \ + --hash=sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943 \ + --hash=sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd \ + --hash=sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409 \ + --hash=sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28 \ + --hash=sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da \ + --hash=sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50 \ + --hash=sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f \ + --hash=sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0 \ + --hash=sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547 \ + --hash=sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180 \ + --hash=sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0 \ + --hash=sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d \ + --hash=sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a \ + --hash=sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb \ + --hash=sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112 \ + --hash=sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc \ + --hash=sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2 \ + --hash=sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265 \ + --hash=sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327 \ + --hash=sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95 \ + --hash=sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec \ + --hash=sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd \ + --hash=sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c \ + --hash=sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38 \ + --hash=sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914 \ + --hash=sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0 \ + --hash=sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a \ + --hash=sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7 \ + --hash=sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368 \ + --hash=sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c \ + --hash=sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0 \ + --hash=sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f \ + --hash=sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451 \ + --hash=sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f \ + --hash=sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8 \ + --hash=sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e \ + --hash=sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248 \ + --hash=sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c \ + --hash=sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91 \ + --hash=sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724 \ + --hash=sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7 \ + --hash=sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966 \ + --hash=sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9 \ + --hash=sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97 \ + --hash=sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d \ + --hash=sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5 \ + --hash=sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf \ + --hash=sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac \ + --hash=sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b \ + --hash=sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951 \ + --hash=sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74 \ + --hash=sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648 \ + --hash=sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60 \ + --hash=sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c \ + --hash=sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1 \ + --hash=sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8 \ + --hash=sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d \ + --hash=sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc \ + --hash=sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61 \ + --hash=sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460 \ + --hash=sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751 \ + --hash=sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9 \ + --hash=sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2 \ + --hash=sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0 \ + --hash=sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1 \ + --hash=sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474 \ + --hash=sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75 \ + --hash=sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5 \ + --hash=sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f \ + --hash=sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2 \ + --hash=sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f \ + --hash=sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb \ + --hash=sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6 \ + --hash=sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9 \ + --hash=sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111 \ + --hash=sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2 \ + --hash=sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01 \ + --hash=sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467 \ + --hash=sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619 \ + --hash=sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf \ + --hash=sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408 \ + --hash=sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579 \ + --hash=sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84 \ + --hash=sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7 \ + --hash=sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c \ + --hash=sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284 \ + --hash=sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52 \ + --hash=sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b \ + --hash=sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59 \ + --hash=sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752 \ + --hash=sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1 \ + --hash=sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80 \ + --hash=sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839 \ + --hash=sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0 \ + --hash=sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2 \ + --hash=sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3 \ + --hash=sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64 \ + --hash=sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089 \ + --hash=sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643 \ + --hash=sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b \ + --hash=sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e \ + --hash=sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985 \ + --hash=sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596 \ + --hash=sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2 \ + --hash=sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064 + # via geventhttpclient +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # geventhttpclient + # requests + # sentry-sdk +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # argon2-cffi-bindings + # azure-datalake-store + # cryptography +chardet==5.2.0 \ + --hash=sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7 \ + --hash=sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970 + # via mbstrdecoder +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # flask + # nltk + # typer + # uvicorn + # wandb +cloudpickle==2.2.0 \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +cmake==4.1.0 \ + --hash=sha256:0e2fea746d746f52aa52b8498777ff665a0627d9b136bec4ae0465c38b75e799 \ + --hash=sha256:2a8790473afbb895b8e684e479f26773e4fc5c86845e3438e8488d38de9db807 \ + --hash=sha256:2d9f14b7d58e447865c111b3b90945b150724876866f5801c80970151718f710 \ + --hash=sha256:3ee38de00cad0501c7dd2b94591522381e3ef9c8468094f037a17ed9e478ef13 \ + --hash=sha256:4e3a30a4f72a8a6d8d593dc289e791f1d84352c1f629543ac8e22c62dbadb20a \ + --hash=sha256:574448a03acdf34c55a7c66485e7a8260709e8386e9145708e18e2abe5fc337b \ + --hash=sha256:5a28a87601fa5e775017bf4f5836e8e75091d08f3e5aac411256754ba54fe5c4 \ + --hash=sha256:69df62445b22d78c2002c22edeb0e85590ae788e477d222fb2ae82c871c33090 \ + --hash=sha256:7219b7e85ed03a98af89371b9dee762e236ad94e8a09ce141070e6ac6415756f \ + --hash=sha256:76e8e7d80a1a9bb5c7ec13ec8da961a8c5a997247f86a08b29f0c2946290c461 \ + --hash=sha256:7c7999c5a1d5a3a66adacc61056765557ed253dc7b8e9deab5cae546f4f9361c \ + --hash=sha256:8d39bbfee7c181e992875cd390fc6d51a317c9374656b332021a67bb40c0b07f \ + --hash=sha256:b8c2538fb557b9edd74d48c189fcde42a55ad7e2c39e04254f8c5d248ca1af4c \ + --hash=sha256:bacdd21aebdf9a42e5631cfb365beb8221783fcd27c4e04f7db8b79c43fb12df \ + --hash=sha256:c6bd346fe4d9c205310ef9a6e09ced7e610915fa982d7b649f9b12caa6fa0605 \ + --hash=sha256:d54e68d5439193265fd7211671420601f6a672b8ca220f19e6c72238b41a84c2 \ + --hash=sha256:dab375932f5962e078da8cf76ca228c21bf4bea9ddeb1308e2b35797fa30f784 \ + --hash=sha256:e77ac2554a7b8a94745add465413e3266b714766e9a5d22ac8e5b36a900a1136 \ + --hash=sha256:f2eaa6f0a25e31fe09fb0b7f40fbf208eea5f1313093ff441ecfff7dc1b80adf + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +colorama==0.4.6 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # log-symbols + # sacrebleu + # tqdm-multiprocess +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipywidgets +configargparse==1.7.1 \ + --hash=sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9 \ + --hash=sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6 + # via locust +contourpy==1.1.1 \ + --hash=sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6 \ + --hash=sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33 \ + --hash=sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8 \ + --hash=sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d \ + --hash=sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d \ + --hash=sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c \ + --hash=sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf \ + --hash=sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e \ + --hash=sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e \ + --hash=sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163 \ + --hash=sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532 \ + --hash=sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2 \ + --hash=sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8 \ + --hash=sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1 \ + --hash=sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b \ + --hash=sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9 \ + --hash=sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916 \ + --hash=sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23 \ + --hash=sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb \ + --hash=sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a \ + --hash=sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e \ + --hash=sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442 \ + --hash=sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684 \ + --hash=sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34 \ + --hash=sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d \ + --hash=sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d \ + --hash=sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9 \ + --hash=sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45 \ + --hash=sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718 \ + --hash=sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab \ + --hash=sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3 \ + --hash=sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae \ + --hash=sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb \ + --hash=sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5 \ + --hash=sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba \ + --hash=sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0 \ + --hash=sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217 \ + --hash=sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887 \ + --hash=sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887 \ + --hash=sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62 \ + --hash=sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431 \ + --hash=sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b \ + --hash=sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce \ + --hash=sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b \ + --hash=sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f \ + --hash=sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85 \ + --hash=sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e \ + --hash=sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7 \ + --hash=sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251 \ + --hash=sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970 \ + --hash=sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0 \ + --hash=sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +crc32c==2.3 \ + --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ + --hash=sha256:0c1f3e28b8aec8a0f7727337fafa31f0ace38e59e054c51fecb923535c6dc6e6 \ + --hash=sha256:17ce6c596ad0d53df52dcd72defb66984aeabd98fbefea7ba848a6b6bdece36a \ + --hash=sha256:1d334d51d395f78fb649e8442341da782e63d3f9552fcfbc040995d24d4b794d \ + --hash=sha256:250af144edce7850a35c618b4dd1bf56436e031560228c17a7c78bf29239ceb0 \ + --hash=sha256:255e35719c252ce7609cb3f1c5a045783a6e0d6d7b035d507ddd82d5194c236a \ + --hash=sha256:327e44184826cd1c72bcd4a9b2c4badfd29501333e158460c7d3ad8b7f066588 \ + --hash=sha256:32c573dd861933e2390932cc10e1b78d71ee7827ee4dfcec96e23cf007a1a6d3 \ + --hash=sha256:374d288cc1735932276bc65670db329dd9fe2af4ec323599dc40e1212b13985e \ + --hash=sha256:3f372a53e9cf2464421b82b41fb66d98f654284c8fc4363f51bb0f5485fdc2b4 \ + --hash=sha256:4323f56908b7e5cea039122aad039fcf750974b09e4f993244d4dddb24cab561 \ + --hash=sha256:47088e524a9ec2887ae0ec519d75df40f005debf9d52f10e688f27e7cc0d339c \ + --hash=sha256:4ab21f02c13dc5a0411838d0709cb4d24bcb865ea28b683b7403826c08d14e27 \ + --hash=sha256:4ac8738e9cd28948e40fb3a3c89a44660e4ad266f7726964200224e101f5c8ef \ + --hash=sha256:4d223e844ee61ac492f0197b62ccc2a9c23db15e4d2938e698fec6eded0daf15 \ + --hash=sha256:554bc2a9ccfa7c02bb8a5346fd546b65ed265965e7fea768c7f2681f2b68d6a0 \ + --hash=sha256:5612be1606eec55511ade38deec40c9f1c7647ec0407a4031e0a2e6e6a635f27 \ + --hash=sha256:5a13d41a29d3feea5ba87def9d4dccc3362139345a24997de33fad00b656622b \ + --hash=sha256:5aa6383c0a13a542c3f1eb82a02e29c1141e0a2bc63faedd0062d1c41649989f \ + --hash=sha256:5ddf91756d6275f497d0895b8875d1f1fdac6be08a5900f4123ede2c91cd1422 \ + --hash=sha256:5e076ae46ac0e4e28eb43932c5c0b8e1b8751bb7d1b0d239f18230aed7cca3bf \ + --hash=sha256:5f347244590f294eaea2e92546100bd56db926305e0603a0d57a88e59f86b308 \ + --hash=sha256:61479a60d5a2b3160a4ae17b37df119963a741fd61ca71d4792670cdf7d7ea41 \ + --hash=sha256:682974e2cfb199ebc4adc5eb4d493dbcf83812a031a8ecccae5a7b5bcade5d9f \ + --hash=sha256:6872d8728f30f2a13f95762801428cf92a7ee6f170c872be81a17b1549b69131 \ + --hash=sha256:6b7c71a3ae1511c42b7919e6116560c08ba89479ea249f281c5bfba2b619411d \ + --hash=sha256:7eb1fea3d9ec71f353a6c38648d074e722fff1f43c1998ae6088dbee324a1ca6 \ + --hash=sha256:7ec3d9257d0624fb74335f67592b6a30de5e0cfb60322ed8682e35820decac8f \ + --hash=sha256:8067ce072908626869b583700da6b4bfc9a538975d77232ae68a31d8af5f1ff6 \ + --hash=sha256:82942ed343e5c884b5c0c9aa6bb5bb47de0247df95ce5d154cc48744d5c2ffd4 \ + --hash=sha256:8363b553b33719b37fff46378a6e96106fd9232d2e043eebb6c6da46925c7663 \ + --hash=sha256:865bf66d86809971d4856e38085a4a15a7251b8e780f22ad52e12b50784dac25 \ + --hash=sha256:866d1cbe646bdef67fc225371da265f081809bcf238bf562d6874c97e7fcb0d6 \ + --hash=sha256:8948a9262d36e2aad3be74aac3ce7a1b090ab2361f7619b3f23418fa536f1b25 \ + --hash=sha256:896bda76db13f229c1126d5e384673f78e06685e70d76fff4c5a3f65b4068b4d \ + --hash=sha256:8ab9df0bd9bf10f3d5bd346321d48da8a28392b1f48f7a6fa3234acebe6ee448 \ + --hash=sha256:90c46644225dc7f71b4dd499ed71ada59d061fd60aa55233270d088ee8cfcd13 \ + --hash=sha256:9ce72a40c17636af97e37bad2f2c11a2e740f57d4051ef586c04d1aa83db8b38 \ + --hash=sha256:a2427a9196c2b8b1c27d7e31cc5c9fff13af0b1411ff1565459f65554990f055 \ + --hash=sha256:a423c098ceffbd70544d1de3e00eeb45ec4b8463ab5d8005389fbbf3243314d1 \ + --hash=sha256:a51ac079c44297bbf624a598cffe6f85bd0a5faf780fd75d2d5e531d42d427ef \ + --hash=sha256:a5560faa3f673183eb1e2fc2c1361cc9ab86865a1d5774baf61fec9ca6c1a696 \ + --hash=sha256:a7d568eb07473d9bc6fb413a4d3248265212c537b80d494ab884cc5316589110 \ + --hash=sha256:ad57917650af59c989b62184fc4604d6c5066fc030ced4c6e07a596000f1ab86 \ + --hash=sha256:ad83e4c78379cc3e22b760e9874bc57f91a9cfb85107ccba1c6442bc1a2e2a1c \ + --hash=sha256:b04c44ad7cde9c21ad426bdfa675ba7039db82a6961c99690f9d2ff2f034c892 \ + --hash=sha256:b917b73d810bcdbcd1461978ba55038dcf2bbc3b56704b0082d2f9b0d5edc7ad \ + --hash=sha256:c04a27ba3cbc7a9e34c77f402bd3a83442a2c7acd3897d2539b1a3321ed28a6a \ + --hash=sha256:c59c6ea67ab927b2ab958c7b01a6b17c9cad882e7a1da51b9c35fbc9874ff46a \ + --hash=sha256:c74d81a00972cbe65e27e99838b44ed5e04bced971e5bfa01c27a4bd17138442 \ + --hash=sha256:ca03d8d5b35a26e0d3eb8c7121de3e37a59042735029eabcf1c4b15343f82cdd \ + --hash=sha256:cea0fe7053e36a4809e5bf95989552f52c98bbc94dca9062fb5b8c976daa0f32 \ + --hash=sha256:d27116037f97a02f1a123ca82008ee993c28afe8590e047a6cd86aca33653cca \ + --hash=sha256:d82fa5bb0661a7a508e62730d4d9045f53d4ab6a9211b560a014f1d58a8337cb \ + --hash=sha256:dce1deda03c6dbe0f5ae6e3e0f8671caead64075fd19a61b1700d42a88af97c8 \ + --hash=sha256:dd9bc7e5599f5970fff1f9aa551639336a76d1bb1fb00f0b87704049df8ba035 \ + --hash=sha256:df19ab6ab3884a237388c7720b1fe617dd4893305f62383d0f96fc7980dfdf7c \ + --hash=sha256:e14f4d57e004fa5a6100ea3aeb9574bee6f95965a96a382154fa40aee1fdeb5e \ + --hash=sha256:e6e16d57b8103fee9fdecb38e908d9ceb70d2196bb932dba64bf7b570f44c0b9 \ + --hash=sha256:ed14214fcc1416e0dc63be4c88aad7f58e0f0cb2c22d578b861e8fc19d1b2d2f \ + --hash=sha256:ef1165f7f36edaae03fcf03f1ca3bdbf196a5255d656bfb17959ba0405a2c8ee \ + --hash=sha256:f1679f7f700f2aec3dbee4e357a2fdde53e2ec151dde4e0b52a9205fac273a90 \ + --hash=sha256:f524fd202472d041b9bddb4a51b5fff28767a9c69953dbcdeecc67ef65707c07 \ + --hash=sha256:f641a9bd24a309637cca6c119b8aabdfe6d41bab5ea630124ee9be7891e36ba1 \ + --hash=sha256:f9a070dbe10dac29c2f591a59300c37448e3c7a747b6ea18d4826b7c94a956bd \ + --hash=sha256:fac1b4248625acd65985378f6b34a00b73cfc9db5b8ccc73101744de2e3dfa66 \ + --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +crcmod==1.7 \ + --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +cryptography==44.0.3 \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # azure-identity + # azure-storage-blob + # msal + # pyjwt + # pyopenssl +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +cython==0.29.37 \ + --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ + --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \ + --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \ + --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \ + --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \ + --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \ + --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \ + --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \ + --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \ + --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \ + --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \ + --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \ + --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \ + --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \ + --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \ + --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \ + --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \ + --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \ + --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \ + --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \ + --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \ + --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \ + --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \ + --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \ + --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \ + --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \ + --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \ + --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \ + --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \ + --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \ + --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \ + --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \ + --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \ + --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \ + --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \ + --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \ + --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \ + --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \ + --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \ + --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \ + --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \ + --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in +dataproperty==1.1.0 \ + --hash=sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04 \ + --hash=sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b + # via + # pytablewriter + # tabledata +datasets==3.6.0 \ + --hash=sha256:1b2bf43b19776e2787e181cfd329cb0ca1a358ea014780c3581e0f276375e041 \ + --hash=sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # evaluate + # lm-eval +debugpy==1.8.0 \ + --hash=sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332 \ + --hash=sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0 \ + --hash=sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f \ + --hash=sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa \ + --hash=sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6 \ + --hash=sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637 \ + --hash=sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6 \ + --hash=sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8 \ + --hash=sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb \ + --hash=sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b \ + --hash=sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4 \ + --hash=sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153 \ + --hash=sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f \ + --hash=sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd \ + --hash=sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595 \ + --hash=sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926 \ + --hash=sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e \ + --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs + # ipython +decord==0.6.0 \ + --hash=sha256:02665d7c4f1193a330205a791bc128f7e108eb6ae5b67144437a02f700943bad \ + --hash=sha256:51997f20be8958e23b7c4061ba45d0efcd86bffd5fe81c695d0befee0d442976 \ + --hash=sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323 \ + --hash=sha256:9c20674964fb1490c677bd911d2023d2a09fec7a58a4bb0b7ddf1ccc269f107a \ + --hash=sha256:a0eb1258beade34dceb29d97856a7764d179db1b5182899b61874f3418a1abc8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +deepspeed==0.12.3 \ + --hash=sha256:dc8a0c261589856743c3b3e7bf9829eded2cc8b2464a40456c3a997ed3a01a08 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +defusedxml==0.7.1 \ + --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ + --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +diffusers==0.12.1 \ + --hash=sha256:9d1c078ebec37a1410a52b5dfb0fd9b32675c54f4ef8d13bdad5cfa130381db6 \ + --hash=sha256:baabdf8cc36dcc0e282dae750d43d8feaa4892aea986b606e5b33b7745a91d4e + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +dill==0.3.7 \ + --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ + --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate + # multiprocess + # petastorm +diskcache==5.6.3 \ + --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ + --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 + # via petastorm +docker-pycreds==0.4.0 \ + --hash=sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4 \ + --hash=sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +entrypoints==0.4 \ + --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ + --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-client + # nbconvert +eval-type-backport==0.2.2 ; python_full_version < '3.10' \ + --hash=sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a \ + --hash=sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1 + # via albumentations +evaluate==0.4.3 \ + --hash=sha256:3a5700cf83aabee9549264e1e5666f116367c61dbd4d38352015e859a5e2098d \ + --hash=sha256:47d8770bdea76e2c2ed0d40189273027d1a41ccea861bcc7ba12d30ec5d1e517 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # lm-eval +exceptiongroup==1.3.0 ; python_full_version < '3.11' \ + --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \ + --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88 + # via + # anyio + # pytest +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +fairscale==0.4.6 \ + --hash=sha256:9e8548ddb26b331d89340ed76ae9a0a51e50cc419d2b339bcbff62ca1a7712fc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +fasteners==0.19 \ + --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ + --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-apitools + # gsutil +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbformat +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # datasets + # diffusers + # huggingface-hub + # torch + # transformers + # triton +flask==2.1.3 \ + --hash=sha256:15972e5017df0575c3d6c090ba168b6db90259e620ac8d7ea813a396bad5b6cb \ + --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask-basicauth + # flask-cors + # locust +flask-basicauth==0.2.0 \ + --hash=sha256:df5ebd489dc0914c224419da059d991eb72988a01cdd4b956d52932ce7d501ff + # via locust +flask-cors==4.0.0 \ + --hash=sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783 \ + --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # locust +flatbuffers==23.5.26 \ + --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ + --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in +fonttools==4.45.1 \ + --hash=sha256:03ed3bda541e86725f6b4e1b94213f13ed1ae51a5a1f167028534cedea38c010 \ + --hash=sha256:0dc7617d96b1e668eea9250e1c1fe62d0c78c3f69573ce7e3332cc40e6d84356 \ + --hash=sha256:105099968b58a5b4cef6f3eb409db8ea8578b302a9d05e23fecba1b8b0177b5f \ + --hash=sha256:1b9e9ad2bcded9a1431afaa57c8d3c39143ac1f050862d66bddd863c515464a2 \ + --hash=sha256:1f53a19dcdd5737440839b8394eeebb35da9ec8109f7926cb6456639b5b58e47 \ + --hash=sha256:21e96b99878348c74aa58059b8578d7586f9519cbcdadacf56486737038aa043 \ + --hash=sha256:2c980d60cd6ec1376206fe55013d166e5627ad0b149b5c81e74eaa913ab6134f \ + --hash=sha256:316cec50581e844c3ab69d7c82455b54c7cf18236b2f09e722faf665fbfcac58 \ + --hash=sha256:37cd1ced6efb3dd6fe82e9f9bf92fd74ac58a5aefc284045f59ecd517a5fb9ab \ + --hash=sha256:392d0e3cc23daee910193625f7cf1b387aff9dd5b6f1a5f4a925680acb6dcbc2 \ + --hash=sha256:3bdd7dfca8f6c9f4779384064027e8477ad6a037d6a327b09381f43e0247c6f3 \ + --hash=sha256:43a3d267334109ff849c37cf3629476b5feb392ef1d2e464a167b83de8cd599c \ + --hash=sha256:45fa321c458ea29224067700954ec44493ae869b47e7c5485a350a149a19fb53 \ + --hash=sha256:46eabddec12066829b8a1efe45ae552ba2f1796981ecf538d5f68284c354c589 \ + --hash=sha256:4b9544b1346d99848ac0e9b05b5d45ee703d7562fc4c9c48cf4b781de9632e57 \ + --hash=sha256:4ba17822a6681d06849078daaf6e03eccc9f467efe7c4c60280e28a78e8e5df9 \ + --hash=sha256:5a17706b9cc24b27721613fe5773d93331ab7f0ecaca9955aead89c6b843d3a7 \ + --hash=sha256:5cbf02cda8465b69769d07385f5d11e7bba19954e7787792f46fe679ec755ebb \ + --hash=sha256:6e441286d55fe7ec7c4fb36812bf914924813776ff514b744b510680fc2733f2 \ + --hash=sha256:6eb2c54f7a07c92108daabcf02caf31df97825738db02a28270633946bcda4d0 \ + --hash=sha256:777ba42b94a27bb7fb2b4082522fccfd345667c32a56011e1c3e105979af5b79 \ + --hash=sha256:794de93e83297db7b4943f2431e206d8b1ea69cb3ae14638a49cc50332bf0db8 \ + --hash=sha256:800e354e0c3afaeb8d9552769773d02f228e98c37b8cb03041157c3d0687cffc \ + --hash=sha256:847f3f49dd3423e5a678c098e2ba92c7f4955d4aab3044f6a507b0bb0ecb07e0 \ + --hash=sha256:8717db3e4895e4820ade64ea379187738827ee60748223cb0438ef044ee208c6 \ + --hash=sha256:8b07b857d4f9de3199a8c3d1b1bf2078c0f37447891ca1a8d9234106b9a27aff \ + --hash=sha256:8e1aefc2bf3c43e0f33f995f828a7bbeff4adc9393a7760b11456dbcf14388f6 \ + --hash=sha256:a12dee6523c02ca78aeedd0a5e12bfa9b7b29896350edd5241542897b072ae23 \ + --hash=sha256:a3c11d9687479f01eddef729aa737abcdea0a44fdaffb62a930a18892f186c9b \ + --hash=sha256:b6de2f0fcd3302fb82f94801002cb473959e998c14c24ec28234adb674aed345 \ + --hash=sha256:ba299f1fbaa2a1e33210aaaf6fa816d4059e4d3cfe2ae9871368d4ab548c1c6a \ + --hash=sha256:ba6c23591427844dfb0a13658f1718489de75de6a46b64234584c0d17573162d \ + --hash=sha256:c4f4a5870e3b56788fb196da8cf30d0dfd51a76dc3b907861d018165f76ae4c2 \ + --hash=sha256:cb472905da3049960e80fc1cf808231880d79727a8410e156bf3e5063a1c574f \ + --hash=sha256:cebcddbe9351b67166292b4f71ffdbfcce01ba4b07d4267824eb46b277aeb19a \ + --hash=sha256:e2277cba9f0b525e30de2a9ad3cb4219aa4bc697230c1645666b0deee9f914f0 \ + --hash=sha256:e29d5f298d616a93a4c5963682dc6cc8cc09f6d89cad2c29019fc5fb3b4d9472 \ + --hash=sha256:e3d24248221bd7151dfff0d88b1b5da02dccd7134bd576ce8888199827bbaa19 \ + --hash=sha256:e50f794d09df0675da8d9dbd7c66bfcab2f74a708343aabcad41936d26556891 \ + --hash=sha256:f22eb69996a0bd49f76bdefb30be54ce8dbb89a0d1246874d610f05c2aa2e69e \ + --hash=sha256:fb36e5f40191274a95938b40c0a1fa7f895e36935aea8709e1d6deff0b2d0d4f \ + --hash=sha256:ff6a698bdd435d24c379f6e8a54908cd9bb7dda23719084d56bf8c87709bf3bd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +fqdn==1.5.1 \ + --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ + --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # aiosignal +fs==2.4.16 \ + --hash=sha256:660064febbccda264ae0b6bace80a8d1be9e089e0a5eb2427b7d517f9a91545c \ + --hash=sha256:ae97c7d51213f4b70b6a958292530289090de3a7e15841e108fbe144f069d313 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # triad +fsspec==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adlfs + # datasets + # evaluate + # gcsfs + # huggingface-hub + # modin + # petastorm + # pytorch-lightning + # torch + # triad +fugue==0.8.7 \ + --hash=sha256:4c56946de46083778cdd6ec5b91ac5d37a847164c80790771edc6832bb9a260d \ + --hash=sha256:d4dc16bac9850024109b999cd163a6ca4976bd0bf190a85730d91ff74737c3f2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +fugue-sql-antlr==0.2.0 \ + --hash=sha256:e15433aaf09502c5b0423019d9fa93e161172ceb08e7bd27af0175dadf3cf552 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +future==1.0.0 \ + --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ + --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +gcs-oauth2-boto-plugin==3.0 \ + --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +gevent==24.2.1 \ + --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ + --hash=sha256:117e5837bc74a1673605fb53f8bfe22feb6e5afa411f524c835b2ddf768db0de \ + --hash=sha256:141a2b24ad14f7b9576965c0c84927fc85f824a9bb19f6ec1e61e845d87c9cd8 \ + --hash=sha256:14532a67f7cb29fb055a0e9b39f16b88ed22c66b96641df8c04bdc38c26b9ea5 \ + --hash=sha256:1dffb395e500613e0452b9503153f8f7ba587c67dd4a85fc7cd7aa7430cb02cc \ + --hash=sha256:2955eea9c44c842c626feebf4459c42ce168685aa99594e049d03bedf53c2800 \ + --hash=sha256:2ae3a25ecce0a5b0cd0808ab716bfca180230112bb4bc89b46ae0061d62d4afe \ + --hash=sha256:2e9ac06f225b696cdedbb22f9e805e2dd87bf82e8fa5e17756f94e88a9d37cf7 \ + --hash=sha256:368a277bd9278ddb0fde308e6a43f544222d76ed0c4166e0d9f6b036586819d9 \ + --hash=sha256:3adfb96637f44010be8abd1b5e73b5070f851b817a0b182e601202f20fa06533 \ + --hash=sha256:3d5325ccfadfd3dcf72ff88a92fb8fc0b56cacc7225f0f4b6dcf186c1a6eeabc \ + --hash=sha256:432fc76f680acf7cf188c2ee0f5d3ab73b63c1f03114c7cd8a34cebbe5aa2056 \ + --hash=sha256:44098038d5e2749b0784aabb27f1fcbb3f43edebedf64d0af0d26955611be8d6 \ + --hash=sha256:5a1df555431f5cd5cc189a6ee3544d24f8c52f2529134685f1e878c4972ab026 \ + --hash=sha256:6c47ae7d1174617b3509f5d884935e788f325eb8f1a7efc95d295c68d83cce40 \ + --hash=sha256:6f947a9abc1a129858391b3d9334c45041c08a0f23d14333d5b844b6e5c17a07 \ + --hash=sha256:782a771424fe74bc7e75c228a1da671578c2ba4ddb2ca09b8f959abdf787331e \ + --hash=sha256:7899a38d0ae7e817e99adb217f586d0a4620e315e4de577444ebeeed2c5729be \ + --hash=sha256:7b00f8c9065de3ad226f7979154a7b27f3b9151c8055c162332369262fc025d8 \ + --hash=sha256:8f4b8e777d39013595a7740b4463e61b1cfe5f462f1b609b28fbc1e4c4ff01e5 \ + --hash=sha256:90cbac1ec05b305a1b90ede61ef73126afdeb5a804ae04480d6da12c56378df1 \ + --hash=sha256:918cdf8751b24986f915d743225ad6b702f83e1106e08a63b736e3a4c6ead789 \ + --hash=sha256:9202f22ef811053077d01f43cc02b4aaf4472792f9fd0f5081b0b05c926cca19 \ + --hash=sha256:94138682e68ec197db42ad7442d3cf9b328069c3ad8e4e5022e6b5cd3e7ffae5 \ + --hash=sha256:968581d1717bbcf170758580f5f97a2925854943c45a19be4d47299507db2eb7 \ + --hash=sha256:9d8d0642c63d453179058abc4143e30718b19a85cbf58c2744c9a63f06a1d388 \ + --hash=sha256:a7ceb59986456ce851160867ce4929edaffbd2f069ae25717150199f8e1548b8 \ + --hash=sha256:b9913c45d1be52d7a5db0c63977eebb51f68a2d5e6fd922d1d9b5e5fd758cc98 \ + --hash=sha256:bde283313daf0b34a8d1bab30325f5cb0f4e11b5869dbe5bc61f8fe09a8f66f3 \ + --hash=sha256:bf5b9c72b884c6f0c4ed26ef204ee1f768b9437330422492c319470954bc4cc7 \ + --hash=sha256:ca80b121bbec76d7794fcb45e65a7eca660a76cc1a104ed439cdbd7df5f0b060 \ + --hash=sha256:cdf66977a976d6a3cfb006afdf825d1482f84f7b81179db33941f2fc9673bb1d \ + --hash=sha256:d4faf846ed132fd7ebfbbf4fde588a62d21faa0faa06e6f468b7faa6f436b661 \ + --hash=sha256:d7f87c2c02e03d99b95cfa6f7a776409083a9e4d468912e18c7680437b29222c \ + --hash=sha256:dd23df885318391856415e20acfd51a985cba6919f0be78ed89f5db9ff3a31cb \ + --hash=sha256:f5de3c676e57177b38857f6e3cdfbe8f38d1cd754b63200c0615eaa31f514b4f \ + --hash=sha256:f5e8e8d60e18d5f7fd49983f0c4696deeddaf6e608fbab33397671e2fcc6cc91 \ + --hash=sha256:f7cac622e11b4253ac4536a654fe221249065d9a69feb6cdcd4d9af3503602e0 \ + --hash=sha256:f8a04cf0c5b7139bc6368b461257d4a757ea2fe89b3773e494d235b7dd51119f \ + --hash=sha256:f8bb35ce57a63c9a6896c71a285818a3922d8ca05d150fd1fe49a7f57287b836 \ + --hash=sha256:fbfdce91239fe306772faab57597186710d5699213f4df099d1612da7320d682 + # via + # geventhttpclient + # locust +geventhttpclient==2.3.4 \ + --hash=sha256:0129ce7ef50e67d66ea5de44d89a3998ab778a4db98093d943d6855323646fa5 \ + --hash=sha256:024b9e2e3203cc5e2c34cb5efd16ba0f2851e39c45abdc2966a8c30a935094fc \ + --hash=sha256:04a3328e687c419f78926a791df48c7672e724fa75002f2d3593df96510696e6 \ + --hash=sha256:0599fd7ca84a8621f8d34c4e2b89babae633b34c303607c61500ebd3b8a7687a \ + --hash=sha256:063991edd5468401377116cc2a71361a88abce9951f60ba15b7fe1e10ce00f25 \ + --hash=sha256:07152cad33b39d365f239b4fa1f818f4801c07e16ce0a0fee7d5fee2cabcb07b \ + --hash=sha256:08ea2e92a1a4f46d3eeff631fa3f04f4d12c78523dc9bffc3b05b3dd93233050 \ + --hash=sha256:110d863baf7f0a369b6c22be547c5582e87eea70ddda41894715c870b2e82eb0 \ + --hash=sha256:142870c2efb6bd0a593dcd75b83defb58aeb72ceaec4c23186785790bd44a311 \ + --hash=sha256:15b2567137734183efda18e4d6245b18772e648b6a25adea0eba8b3a8b0d17e8 \ + --hash=sha256:1749f75810435a001fc6d4d7526c92cf02b39b30ab6217a886102f941c874222 \ + --hash=sha256:182f5158504ac426d591cfb1234de5180813292b49049e761f00bf70691aace5 \ + --hash=sha256:195e396c59f25958ad6f79d2c58431cb8b1ff39b5821e6507bf539c79b5681dc \ + --hash=sha256:19721357db976149ccf54ac279eab8139da8cdf7a11343fd02212891b6f39677 \ + --hash=sha256:1c69c4ec9b618ca42008d6930077d72ee0c304e2272a39a046e775c25ca4ac44 \ + --hash=sha256:1d23fe37b9d79b17dbce2d086006950d4527a2f95286046b7229e1bd3d8ac5e4 \ + --hash=sha256:20c65d404fa42c95f6682831465467dff317004e53602c01f01fbd5ba1e56628 \ + --hash=sha256:226d9fca98469bd770e3efd88326854296d1aa68016f285bd1a2fb6cd21e17ee \ + --hash=sha256:227579b703085c4e5c6d5217ad6565b19ac8d1164404133e5874efaae1905114 \ + --hash=sha256:2335963f883a94f503b321f7abfb38a4efbca70f9453c5c918cca40a844280cd \ + --hash=sha256:2574ee47ff6f379e9ef124e2355b23060b81629f1866013aa975ba35df0ed60b \ + --hash=sha256:2a8cde016e5ea6eb289c039b6af8dcef6c3ee77f5d753e57b48fe2555cdeacca \ + --hash=sha256:2fa223034774573218bb49e78eca7e92b8c82ccae9d840fdcf424ea95c2d1790 \ + --hash=sha256:30671bb44f5613177fc1dc7c8840574d91ccd126793cd40fc16915a4abc67034 \ + --hash=sha256:389d3f83316220cfa2010f41401c140215a58ddba548222e7122b2161e25e391 \ + --hash=sha256:39746bcd874cb75aaf6d16cdddd287a29721e8b56c20dd8a4d4ecde1d3b92f14 \ + --hash=sha256:3a74f7b926badb3b1d47ea987779cb83523a406e89203070b58b20cf95d6f535 \ + --hash=sha256:407cb68a3c3a2c4f5d503930298f2b26ae68137d520e8846d8e230a9981d9334 \ + --hash=sha256:416cc70adb3d34759e782d2e120b4432752399b85ac9758932ecd12274a104c3 \ + --hash=sha256:41f2dcc0805551ea9d49f9392c3b9296505a89b9387417b148655d0d8251b36e \ + --hash=sha256:42b6f6afb0d3aab6a013c9cdb97e19bf4fe08695975670d0a018113d24cb344c \ + --hash=sha256:4371b1b1afc072ad2b0ff5a8929d73ffd86d582908d3e9e8d7911dc027b1b3a6 \ + --hash=sha256:44e9ba810c28f9635e5c4c9cf98fc6470bad5a3620d8045d08693f7489493a3c \ + --hash=sha256:461e4d9f4caee481788ec95ac64e0a4a087c1964ddbfae9b6f2dc51715ba706c \ + --hash=sha256:46eda9a9137b0ca7886369b40995d2a43a5dff033d0a839a54241015d1845d41 \ + --hash=sha256:47dbf8a163a07f83b38b0f8a35b85e5d193d3af4522ab8a5bbecffff1a4cd462 \ + --hash=sha256:49f5e2051f7d06cb6476500a2ec1b9737aa3160258f0344b07b6d8e8cda3a0cb \ + --hash=sha256:4b802000a4fad80fa57e895009671d6e8af56777e3adf0d8aee0807e96188fd9 \ + --hash=sha256:4c24db3faa829244ded6805b47aec408df2f5b15fe681e957c61543070f6e405 \ + --hash=sha256:4e39ad577b33a5be33b47bff7c2dda9b19ced4773d169d6555777cd8445c13c0 \ + --hash=sha256:4e492b9ab880f98f8a9cc143b96ea72e860946eae8ad5fb2837cede2a8f45154 \ + --hash=sha256:501d5c69adecd5eaee3c22302006f6c16aa114139640873b72732aa17dab9ee7 \ + --hash=sha256:503db5dd0aa94d899c853b37e1853390c48c7035132f39a0bab44cbf95d29101 \ + --hash=sha256:525bd192705b5cb41a7cc3fe41fca194bfd6b5b59997ab9fe68fe0a82dab6140 \ + --hash=sha256:54fbbcca2dcf06f12a337dd8f98417a09a49aa9d9706aa530fc93acb59b7d83c \ + --hash=sha256:5660dfd692bc2cbd3bd2d0a2ad2a58ec47f7778042369340bdea765dc10e5672 \ + --hash=sha256:59a2e7c136a3e6b60b87bf8b87e5f1fb25705d76ab7471018e25f8394c640dda \ + --hash=sha256:5aa16f2939a508667093b18e47919376f7db9a9acbe858343173c5a58e347869 \ + --hash=sha256:5ee758e37215da9519cea53105b2a078d8bc0a32603eef2a1f9ab551e3767dee \ + --hash=sha256:5f71c75fc138331cbbe668a08951d36b641d2c26fb3677d7e497afb8419538db \ + --hash=sha256:5fde955b634a593e70eae9b4560b74badc8b2b1e3dd5b12a047de53f52a3964a \ + --hash=sha256:62f3a29bf242ecca6360d497304900683fd8f42cbf1de8d0546c871819251dad \ + --hash=sha256:6409fcda1f40d66eab48afc218b4c41e45a95c173738d10c50bc69c7de4261b9 \ + --hash=sha256:650bf5d07f828a0cb173dacc4bb28e2ae54fd840656b3e552e5c3a4f96e29f08 \ + --hash=sha256:69668589359db4cbb9efa327dda5735d1e74145e6f0a9ffa50236d15cf904053 \ + --hash=sha256:6c4b796a59bed199884fe9d59a447fd685aa275a1406bc1f7caebd39a257f56e \ + --hash=sha256:6c87a1762aba525b00aac34e1ffb97d083f94ef505282a461147298f32b2ae27 \ + --hash=sha256:707a66cd1e3bf06e2c4f8f21d3b4e6290c9e092456f489c560345a8663cdd93e \ + --hash=sha256:709f557138fb84ed32703d42da68f786459dab77ff2c23524538f2e26878d154 \ + --hash=sha256:71206ab89abdd0bd5fee21e04a3995ec1f7d8ae1478ee5868f9e16e85a831653 \ + --hash=sha256:71dbc6d4004017ef88c70229809df4ad2317aad4876870c0b6bcd4d6695b7a8d \ + --hash=sha256:72575c5b502bf26ececccb905e4e028bb922f542946be701923e726acf305eb6 \ + --hash=sha256:736aa8e9609e4da40aeff0dbc02fea69021a034f4ed1e99bf93fc2ca83027b64 \ + --hash=sha256:73a88925055acc56811927614bb8be3e784fdd5149819fa26c2af6a43a2e43f5 \ + --hash=sha256:73e7d2e3d2d67e25d9d0f2bf46768650a57306a0587bbcdbfe2f4eac504248d2 \ + --hash=sha256:75585278b2e3cd1a866bc2a95be7e0ab53c51c35c9e0e75161ff4f30817b3da8 \ + --hash=sha256:83143b41bde2eb010c7056f142cb764cfbf77f16bf78bda2323a160767455cf5 \ + --hash=sha256:8714a3f2c093aeda3ffdb14c03571d349cb3ed1b8b461d9f321890659f4a5dbf \ + --hash=sha256:888e34d2e53d0f1dab85ff3e5ca81b8b7949b9e4702439f66f4ebf61189eb923 \ + --hash=sha256:88b5e6cc958907dd6a13d3f8179683c275f57142de95d0d652a54c8275e03a8b \ + --hash=sha256:8a681433e2f3d4b326d8b36b3e05b787b2c6dd2a5660a4a12527622278bf02ed \ + --hash=sha256:8d1d0db89c1c8f3282eac9a22fda2b4082e1ed62a2107f70e3f1de1872c7919f \ + --hash=sha256:91f19a8a6899c27867dbdace9500f337d3e891a610708e86078915f1d779bf53 \ + --hash=sha256:93926aacdb0f4289b558f213bc32c03578f3432a18b09e4b6d73a716839d7a74 \ + --hash=sha256:96578fc4a5707b5535d1c25a89e72583e02aafe64d14f3b4d78f9c512c6d613c \ + --hash=sha256:97cd2ab03d303fd57dea4f6d9c2ab23b7193846f1b3bbb4c80b315ebb5fc8527 \ + --hash=sha256:9ac30c38d86d888b42bb2ab2738ab9881199609e9fa9a153eb0c66fc9188c6cb \ + --hash=sha256:9b50d9daded5d36193d67e2fc30e59752262fcbbdc86e8222c7df6b93af0346a \ + --hash=sha256:9c7a0c11afc1fe2c8338e5ccfd7ffdab063b84ace8b9656b5b3bc1614ee8a234 \ + --hash=sha256:9d477ae1f5d42e1ee6abbe520a2e9c7f369781c3b8ca111d1f5283c1453bc825 \ + --hash=sha256:9d54b8e9a44890159ae36ba4ae44efd8bb79ff519055137a340d357538a68aa3 \ + --hash=sha256:9f5514890bbb54a7c35fb66120c7659040182d54e735fe717642b67340b8131a \ + --hash=sha256:9f707dbdaad78dafe6444ee0977cbbaefa16ad10ab290d75709170d124bac4c8 \ + --hash=sha256:a3ba0aa08f5eaa7165bf90fb06adf124511dbdf517500ab0793883f648feaaf8 \ + --hash=sha256:a4bca1151b8cd207eef6d5cb3c720c562b2aa7293cf113a68874e235cfa19c31 \ + --hash=sha256:a85c0cdf16559c9cfa3e2145c16bfe5e1c3115d0cb3b143d41fb68412888171f \ + --hash=sha256:aaa7aebf4fe0d33a3f9f8945061f5374557c9f7baa3c636bfe25ac352167be9c \ + --hash=sha256:b11f38b74bab75282db66226197024a731250dcbe25542fd4e85ac5313547332 \ + --hash=sha256:b4ac86f8d4ddd112bd63aa9f3c7b73c62d16b33fca414f809e8465bbed2580a3 \ + --hash=sha256:b7e41687c74e8fbe6a665458bbaea0c5a75342a95e2583738364a73bcbf1671b \ + --hash=sha256:b8b86815a30e026c6677b89a5a21ba5fd7b69accf8f0e9b83bac123e4e9f3b31 \ + --hash=sha256:be2ade1516fdc7b7fb3d73e6f8d8bf2ce5b4e2e0933a5465a86d40dfa1423488 \ + --hash=sha256:be593e78cf4a7cbdbe361823fb35e1e0963d1a490cf90c8b6c680a30114b1a10 \ + --hash=sha256:be64c5583884c407fc748dedbcb083475d5b138afb23c6bc0836cbad228402cc \ + --hash=sha256:c3ea5da20f4023cf40207ce15f5f4028377ffffdba3adfb60b4c8f34925fce79 \ + --hash=sha256:c9d83bf2c274aed601e8b5320789e54661c240a831533e73a290da27d1c046f1 \ + --hash=sha256:c9db12e764ec1a4648d67b1501f7001e30f92e05a1692a75920ab53670c4958b \ + --hash=sha256:d1e73172fed40c1d0e4f79fd15d357ead2161371b2ecdc82d626f143c29c8175 \ + --hash=sha256:d693d1f63ae6a794074ec1f475e3e3f607c52242f3799479fc483207b5c02ff0 \ + --hash=sha256:d8bde667d0ce46065fe57f8ff24b2e94f620a5747378c97314dcfc8fbab35b73 \ + --hash=sha256:dbb28455bb5d82ca3024f9eb7d65c8ff6707394b584519def497b5eb9e5b1222 \ + --hash=sha256:e02e0e9ef2e45475cf33816c8fb2e24595650bcf259e7b15b515a7b49cae1ccf \ + --hash=sha256:e16113d80bc270c465590ba297d4be8f26906ca8ae8419dc86520982c4099036 \ + --hash=sha256:e310f6313ccba476dc1f393fd40738ca3b7fa3bb41c31c38f9641b1927306ba2 \ + --hash=sha256:e657db5a8c9498dee394db1e12085eda4b9cf7b682466364aae52765b930a884 \ + --hash=sha256:e9ba526e07ccaf4f1c2cd3395dda221139f01468b6eee1190d4a616f187a0378 \ + --hash=sha256:ea87c25e933991366049a42c88e91ad20c2b72e11c7bd38ef68f80486ab63cb2 \ + --hash=sha256:ec4d1aa08569b7eb075942caeacabefee469a0e283c96c7aac0226d5e7598fe8 \ + --hash=sha256:ecf830cdcd1d4d28463c8e0c48f7f5fb06f3c952fff875da279385554d1d4d65 \ + --hash=sha256:ed35391ad697d6cda43c94087f59310f028c3e9fb229e435281a92509469c627 \ + --hash=sha256:fac2635f68b3b6752c2a576833d9d18f0af50bdd4bd7dd2d2ca753e3b8add84c \ + --hash=sha256:fad0666d34122b5ad6de2715c0597b23eab523cc57caf38294138249805da15f \ + --hash=sha256:fb8f6a18f1b5e37724111abbd3edf25f8f00e43dc261b11b10686e17688d2405 \ + --hash=sha256:fccc2023a89dfbce2e1b1409b967011e45d41808df81b7fa0259397db79ba647 \ + --hash=sha256:fe705e7656bc6982a463a4ed7f9b1db8c78c08323f1d45d0d1d77063efa0ce96 \ + --hash=sha256:fecf1b735591fb21ea124a374c207104a491ad0d772709845a10d5faa07fa833 \ + --hash=sha256:ffe87eb7f1956357c2144a56814b5ffc927cbb8932f143a0351c78b93129ebbc + # via locust +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # wandb +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage +google-api-python-client==2.111.0 \ + --hash=sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405 \ + --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +google-apitools==0.5.32 \ + --hash=sha256:b78f74116558e0476e19501b5b4b2ac7c93261a69c5449c861ea95cbc853c688 \ + --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +google-auth==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcsfs + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-auth-oauthlib + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-core + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # google-cloud-storage + # gsutil +google-auth-httplib2==0.1.1 \ + --hash=sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c \ + --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client +google-auth-oauthlib==1.0.0 \ + --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ + --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs +google-cloud-certificate-manager==1.10.2 \ + --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ + --hash=sha256:c13ab6773c77e2eb65eade38c724b5fa98e8cb5e6f3a1bb5c5c04dd02353ac27 + # via anyscale +google-cloud-common==1.5.2 \ + --hash=sha256:1cdb57a491ee2676dd1733a35a1108b922a74b55c3c6d4b5571e1ae62af49ff7 \ + --hash=sha256:f5ca4035ee723fc9ae569e835e04ef6260ea6ecd5e9256854cd2e4a11d42ee7f + # via google-cloud-filestore +google-cloud-compute==1.37.0 \ + --hash=sha256:27f029432b52930379f589cf3fa5e33ace966a339ea54cd644b2b5f9e0a481e3 \ + --hash=sha256:a11edd6bf74d4e7f5d7400e60b10ab0d1d7e951bb405721f95a138879e68e7af + # via anyscale +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +google-cloud-filestore==1.13.2 \ + --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ + --hash=sha256:d6cf7dcc5bdd4318df882f47485989be56b53924284356cdf71d683de5bd6444 + # via anyscale +google-cloud-redis==2.18.1 \ + --hash=sha256:a3ae15d8a2ff1a67a0d8b3974775c2b06ca97f84f3f33c87628222191efeac9c \ + --hash=sha256:e21bf4483666639ce119816a23815667a8749c38d317b253ba75c57e65038f50 + # via anyscale +google-cloud-resource-manager==1.14.2 \ + --hash=sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74 \ + --hash=sha256:d0fa954dedd1d2b8e13feae9099c01b8aac515b648e612834f9942d2795a9900 + # via anyscale +google-cloud-secret-manager==2.24.0 \ + --hash=sha256:9bea1254827ecc14874bc86c63b899489f8f50bfe1442bfb2517530b30b3a89b \ + --hash=sha256:ce573d40ffc2fb7d01719243a94ee17aa243ea642a6ae6c337501e58fbf642b5 + # via anyscale +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcsfs + # smart-open +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-oauth==1.0.1 \ + --hash=sha256:5d26c0d995aafd5f4884424159146c81569b9762ed9516d9fd13c7d6c11cc5aa + # via -r docker/base-deps/requirements.in +google-reauth==0.1.1 \ + --hash=sha256:cb39074488d74c8853074dde47368bbf8f739d4a4338b89aab696c895b6d8368 \ + --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core + # grpc-google-iam-v1 + # grpcio-status +greenlet==3.0.1 ; python_full_version < '3.11' and platform_python_implementation == 'CPython' \ + --hash=sha256:0a02d259510b3630f330c86557331a3b0e0c79dac3d166e449a39363beaae174 \ + --hash=sha256:0b6f9f8ca7093fd4433472fd99b5650f8a26dcd8ba410e14094c1e44cd3ceddd \ + --hash=sha256:100f78a29707ca1525ea47388cec8a049405147719f47ebf3895e7509c6446aa \ + --hash=sha256:1757936efea16e3f03db20efd0cd50a1c86b06734f9f7338a90c4ba85ec2ad5a \ + --hash=sha256:19075157a10055759066854a973b3d1325d964d498a805bb68a1f9af4aaef8ec \ + --hash=sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565 \ + --hash=sha256:20107edf7c2c3644c67c12205dc60b1bb11d26b2610b276f97d666110d1b511d \ + --hash=sha256:22f79120a24aeeae2b4471c711dcf4f8c736a2bb2fabad2a67ac9a55ea72523c \ + --hash=sha256:2847e5d7beedb8d614186962c3d774d40d3374d580d2cbdab7f184580a39d234 \ + --hash=sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d \ + --hash=sha256:329c5a2e5a0ee942f2992c5e3ff40be03e75f745f48847f118a3cfece7a28546 \ + --hash=sha256:337322096d92808f76ad26061a8f5fccb22b0809bea39212cd6c406f6a7060d2 \ + --hash=sha256:3fcc780ae8edbb1d050d920ab44790201f027d59fdbd21362340a85c79066a74 \ + --hash=sha256:41bdeeb552d814bcd7fb52172b304898a35818107cc8778b5101423c9017b3de \ + --hash=sha256:4eddd98afc726f8aee1948858aed9e6feeb1758889dfd869072d4465973f6bfd \ + --hash=sha256:52e93b28db27ae7d208748f45d2db8a7b6a380e0d703f099c949d0f0d80b70e9 \ + --hash=sha256:55d62807f1c5a1682075c62436702aaba941daa316e9161e4b6ccebbbf38bda3 \ + --hash=sha256:5805e71e5b570d490938d55552f5a9e10f477c19400c38bf1d5190d760691846 \ + --hash=sha256:599daf06ea59bfedbec564b1692b0166a0045f32b6f0933b0dd4df59a854caf2 \ + --hash=sha256:60d5772e8195f4e9ebf74046a9121bbb90090f6550f81d8956a05387ba139353 \ + --hash=sha256:696d8e7d82398e810f2b3622b24e87906763b6ebfd90e361e88eb85b0e554dc8 \ + --hash=sha256:6e6061bf1e9565c29002e3c601cf68569c450be7fc3f7336671af7ddb4657166 \ + --hash=sha256:80ac992f25d10aaebe1ee15df45ca0d7571d0f70b645c08ec68733fb7a020206 \ + --hash=sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b \ + --hash=sha256:85d2b77e7c9382f004b41d9c72c85537fac834fb141b0296942d52bf03fe4a3d \ + --hash=sha256:87c8ceb0cf8a5a51b8008b643844b7f4a8264a2c13fcbcd8a8316161725383fe \ + --hash=sha256:89ee2e967bd7ff85d84a2de09df10e021c9b38c7d91dead95b406ed6350c6997 \ + --hash=sha256:8bef097455dea90ffe855286926ae02d8faa335ed8e4067326257cb571fc1445 \ + --hash=sha256:8d11ebbd679e927593978aa44c10fc2092bc454b7d13fdc958d3e9d508aba7d0 \ + --hash=sha256:91e6c7db42638dc45cf2e13c73be16bf83179f7859b07cfc139518941320be96 \ + --hash=sha256:97e7ac860d64e2dcba5c5944cfc8fa9ea185cd84061c623536154d5a89237884 \ + --hash=sha256:990066bff27c4fcf3b69382b86f4c99b3652bab2a7e685d968cd4d0cfc6f67c6 \ + --hash=sha256:9fbc5b8f3dfe24784cee8ce0be3da2d8a79e46a276593db6868382d9c50d97b1 \ + --hash=sha256:ac4a39d1abae48184d420aa8e5e63efd1b75c8444dd95daa3e03f6c6310e9619 \ + --hash=sha256:b2c02d2ad98116e914d4f3155ffc905fd0c025d901ead3f6ed07385e19122c94 \ + --hash=sha256:b2d3337dcfaa99698aa2377c81c9ca72fcd89c07e7eb62ece3f23a3fe89b2ce4 \ + --hash=sha256:b489c36d1327868d207002391f662a1d163bdc8daf10ab2e5f6e41b9b96de3b1 \ + --hash=sha256:b641161c302efbb860ae6b081f406839a8b7d5573f20a455539823802c655f63 \ + --hash=sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd \ + --hash=sha256:b9934adbd0f6e476f0ecff3c94626529f344f57b38c9a541f87098710b18af0a \ + --hash=sha256:ce85c43ae54845272f6f9cd8320d034d7a946e9773c693b27d620edec825e376 \ + --hash=sha256:cf868e08690cb89360eebc73ba4be7fb461cfbc6168dd88e2fbbe6f31812cd57 \ + --hash=sha256:d2905ce1df400360463c772b55d8e2518d0e488a87cdea13dd2c71dcb2a1fa16 \ + --hash=sha256:d57e20ba591727da0c230ab2c3f200ac9d6d333860d85348816e1dca4cc4792e \ + --hash=sha256:d6a8c9d4f8692917a3dc7eb25a6fb337bff86909febe2f793ec1928cd97bedfc \ + --hash=sha256:d923ff276f1c1f9680d32832f8d6c040fe9306cbfb5d161b0911e9634be9ef0a \ + --hash=sha256:daa7197b43c707462f06d2c693ffdbb5991cbb8b80b5b984007de431493a319c \ + --hash=sha256:dbd4c177afb8a8d9ba348d925b0b67246147af806f0b104af4d24f144d461cd5 \ + --hash=sha256:dc4d815b794fd8868c4d67602692c21bf5293a75e4b607bb92a11e821e2b859a \ + --hash=sha256:e9d21aaa84557d64209af04ff48e0ad5e28c5cca67ce43444e939579d085da72 \ + --hash=sha256:ea6b8aa9e08eea388c5f7a276fabb1d4b6b9d6e4ceb12cc477c3d352001768a9 \ + --hash=sha256:eabe7090db68c981fca689299c2d116400b553f4b713266b130cfc9e2aa9c5a9 \ + --hash=sha256:f2f6d303f3dee132b322a14cd8765287b8f86cdc10d2cb6a6fae234ea488888e \ + --hash=sha256:f33f3258aae89da191c6ebaa3bc517c6c4cbc9b9f689e5d8452f7aedbb913fa8 \ + --hash=sha256:f7bfb769f7efa0eefcd039dd19d843a4fbfbac52f1878b1da2ed5793ec9b1a65 \ + --hash=sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064 \ + --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gevent +grpc-google-iam-v1==0.14.2 \ + --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ + --hash=sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20 + # via + # google-cloud-resource-manager + # google-cloud-secret-manager +grpcio==1.75.0 \ + --hash=sha256:050760fd29c8508844a720f06c5827bb00de8f5e02f58587eb21a4444ad706e5 \ + --hash=sha256:06d22e1d8645e37bc110f4c589cb22c283fd3de76523065f821d6e81de33f5d4 \ + --hash=sha256:0aa795198b28807d28570c0a5f07bb04d5facca7d3f27affa6ae247bbd7f312a \ + --hash=sha256:0b85f4ebe6b56d2a512201bb0e5f192c273850d349b0a74ac889ab5d38959d16 \ + --hash=sha256:0c40f368541945bb664857ecd7400acb901053a1abbcf9f7896361b2cfa66798 \ + --hash=sha256:0c91d5b16eff3cbbe76b7a1eaaf3d91e7a954501e9d4f915554f87c470475c3d \ + --hash=sha256:0fcb77f2d718c1e58cc04ef6d3b51e0fa3b26cf926446e86c7eba105727b6cd4 \ + --hash=sha256:153c5a7655022c3626ad70be3d4c2974cb0967f3670ee49ece8b45b7a139665f \ + --hash=sha256:1bb78d052948d8272c820bb928753f16a614bb2c42fbf56ad56636991b427518 \ + --hash=sha256:1ec2937fd92b5b4598cbe65f7e57d66039f82b9e2b7f7a5f9149374057dde77d \ + --hash=sha256:1ec9cbaec18d9597c718b1ed452e61748ac0b36ba350d558f9ded1a94cc15ec7 \ + --hash=sha256:222b0851e20c04900c63f60153503e918b08a5a0fad8198401c0b1be13c6815b \ + --hash=sha256:266fa6209b68a537b2728bb2552f970e7e78c77fe43c6e9cbbe1f476e9e5c35f \ + --hash=sha256:2e8e752ab5cc0a9c5b949808c000ca7586223be4f877b729f034b912364c3964 \ + --hash=sha256:352dbdf25495eef584c8de809db280582093bc3961d95a9d78f0dfb7274023a2 \ + --hash=sha256:36764a4ad9dc1eb891042fab51e8cdf7cc014ad82cee807c10796fb708455041 \ + --hash=sha256:38d665f44b980acdbb2f0e1abf67605ba1899f4d2443908df9ec8a6f26d2ed88 \ + --hash=sha256:3a6788b30aa8e6f207c417874effe3f79c2aa154e91e78e477c4825e8b431ce0 \ + --hash=sha256:437eeb16091d31498585d73b133b825dc80a8db43311e332c08facf820d36894 \ + --hash=sha256:494dcbade5606128cb9f530ce00331a90ecf5e7c5b243d373aebdb18e503c346 \ + --hash=sha256:50a6e43a9adc6938e2a16c9d9f8a2da9dd557ddd9284b73b07bd03d0e098d1e9 \ + --hash=sha256:53067c590ac3638ad0c04272f2a5e7e32a99fec8824c31b73bc3ef93160511fa \ + --hash=sha256:55a2d5ae79cd0f68783fb6ec95509be23746e3c239290b2ee69c69a38daa961a \ + --hash=sha256:55dfb9122973cc69520b23d39867726722cafb32e541435707dc10249a1bdbc6 \ + --hash=sha256:585147859ff4603798e92605db28f4a97c821c69908e7754c44771c27b239bbd \ + --hash=sha256:597340a41ad4b619aaa5c9b94f7e6ba4067885386342ab0af039eda945c255cd \ + --hash=sha256:678b649171f229fb16bda1a2473e820330aa3002500c4f9fd3a74b786578e90f \ + --hash=sha256:68c95b1c1e3bf96ceadf98226e9dfe2bc92155ce352fa0ee32a1603040e61856 \ + --hash=sha256:6b365f37a9c9543a9e91c6b4103d68d38d5bcb9965b11d5092b3c157bd6a5ee7 \ + --hash=sha256:725e67c010f63ef17fc052b261004942763c0b18dcd84841e6578ddacf1f9d10 \ + --hash=sha256:78dcc025a144319b66df6d088bd0eda69e1719eb6ac6127884a36188f336df19 \ + --hash=sha256:7a9337ac4ce61c388e02019d27fa837496c4b7837cbbcec71b05934337e51531 \ + --hash=sha256:7ee5ee42bfae8238b66a275f9ebcf6f295724375f2fa6f3b52188008b6380faf \ + --hash=sha256:7f89d6d0cd43170a80ebb4605cad54c7d462d21dc054f47688912e8bf08164af \ + --hash=sha256:851194eec47755101962da423f575ea223c9dd7f487828fe5693920e8745227e \ + --hash=sha256:9146e40378f551eed66c887332afc807fcce593c43c698e21266a4227d4e20d2 \ + --hash=sha256:91fbfc43f605c5ee015c9056d580a70dd35df78a7bad97e05426795ceacdb59f \ + --hash=sha256:9880c323595d851292785966cadb6c708100b34b163cab114e3933f5773cba2d \ + --hash=sha256:9dc4a02796394dd04de0b9673cb79a78901b90bb16bf99ed8cb528c61ed9372e \ + --hash=sha256:b989e8b09489478c2d19fecc744a298930f40d8b27c3638afbfe84d22f36ce4e \ + --hash=sha256:bb58e38a50baed9b21492c4b3f3263462e4e37270b7ea152fc10124b4bd1c318 \ + --hash=sha256:c2c39984e846bd5da45c5f7bcea8fafbe47c98e1ff2b6f40e57921b0c23a52d0 \ + --hash=sha256:c8cfc780b7a15e06253aae5f228e1e84c0d3c4daa90faf5bc26b751174da4bf9 \ + --hash=sha256:ca123db0813eef80625a4242a0c37563cb30a3edddebe5ee65373854cf187215 \ + --hash=sha256:cb6c5b075c2d092f81138646a755f0dad94e4622300ebef089f94e6308155d82 \ + --hash=sha256:dce15597ca11913b78e1203c042d5723e3ea7f59e7095a1abd0621be0e05b895 \ + --hash=sha256:eafbe3563f9cb378370a3fa87ef4870539cf158124721f3abee9f11cd8162460 \ + --hash=sha256:ee16e232e3d0974750ab5f4da0ab92b59d6473872690b5e40dcec9a22927f22e \ + --hash=sha256:fa35ccd9501ffdd82b861809cbfc4b5b13f4b4c5dc3434d2d9170b9ed38a9054 \ + --hash=sha256:fb64dd62face3d687a7b56cd881e2ea39417af80f75e8b36f0f81dfd93071651 \ + --hash=sha256:ffc33e67cab6141c54e75d85acd5dec616c5095a957ff997b4330a6395aa9b51 + # via + # -r docker/base-extra/requirements.in + # google-api-core + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools +grpcio-status==1.62.3 \ + --hash=sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485 \ + --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +grpcio-tools==1.62.3 \ + --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ + --hash=sha256:0a8c0c4724ae9c2181b7dbc9b186df46e4f62cb18dc184e46d06c0ebeccf569e \ + --hash=sha256:0cb3a3436ac119cbd37a7d3331d9bdf85dad21a6ac233a3411dff716dcbf401e \ + --hash=sha256:11c625eebefd1fd40a228fc8bae385e448c7e32a6ae134e43cf13bbc23f902b7 \ + --hash=sha256:11f363570dea661dde99e04a51bd108a5807b5df32a6f8bdf4860e34e94a4dbf \ + --hash=sha256:141d028bf5762d4a97f981c501da873589df3f7e02f4c1260e1921e565b376fa \ + --hash=sha256:1c989246c2aebc13253f08be32538a4039a64e12d9c18f6d662d7aee641dc8b5 \ + --hash=sha256:1da38070738da53556a4b35ab67c1b9884a5dd48fa2f243db35dc14079ea3d0c \ + --hash=sha256:27cd9ef5c5d68d5ed104b6dcb96fe9c66b82050e546c9e255716903c3d8f0373 \ + --hash=sha256:2e02d3b96f2d0e4bab9ceaa30f37d4f75571e40c6272e95364bff3125a64d184 \ + --hash=sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1 \ + --hash=sha256:350a80485e302daaa95d335a931f97b693e170e02d43767ab06552c708808950 \ + --hash=sha256:3eae6ea76d62fcac091e1f15c2dcedf1dc3f114f8df1a972a8a0745e89f4cf61 \ + --hash=sha256:47a5c093ab256dec5714a7a345f8cc89315cb57c298b276fa244f37a0ba507f0 \ + --hash=sha256:5782883a27d3fae8c425b29a9d3dcf5f47d992848a1b76970da3b5a28d424b26 \ + --hash=sha256:6a56d344b0bab30bf342a67e33d386b0b3c4e65868ffe93c341c51e1a8853ca5 \ + --hash=sha256:6c3064610826f50bd69410c63101954676edc703e03f9e8f978a135f1aaf97c1 \ + --hash=sha256:703f46e0012af83a36082b5f30341113474ed0d91e36640da713355cd0ea5d23 \ + --hash=sha256:710fecf6a171dcbfa263a0a3e7070e0df65ba73158d4c539cec50978f11dad5d \ + --hash=sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833 \ + --hash=sha256:7cc83023acd8bc72cf74c2edbe85b52098501d5b74d8377bfa06f3e929803492 \ + --hash=sha256:7f2483ea232bd72d98a6dc6d7aefd97e5bc80b15cd909b9e356d6f3e326b6e43 \ + --hash=sha256:7ff7d58a45b75df67d25f8f144936a3e44aabd91afec833ee06826bd02b7fbe7 \ + --hash=sha256:8ad0473af5544f89fc5a1ece8676dd03bdf160fb3230f967e05d0f4bf89620e3 \ + --hash=sha256:8c5d22b252dcef11dd1e0fbbe5bbfb9b4ae048e8880d33338215e8ccbdb03edc \ + --hash=sha256:8e62cc7164b0b7c5128e637e394eb2ef3db0e61fc798e80c301de3b2379203ed \ + --hash=sha256:962c84b4da0f3b14b3cdb10bc3837ebc5f136b67d919aea8d7bb3fd3df39528a \ + --hash=sha256:ace43b26d88a58dcff16c20d23ff72b04d0a415f64d2820f4ff06b1166f50557 \ + --hash=sha256:b47d0dda1bdb0a0ba7a9a6de88e5a1ed61f07fad613964879954961e36d49193 \ + --hash=sha256:b77f9f9cee87cd798f0fe26b7024344d1b03a7cd2d2cba7035f8433b13986325 \ + --hash=sha256:b881fd9505a84457e9f7e99362eeedd86497b659030cf57c6f0070df6d9c2b9b \ + --hash=sha256:bfda6ee8990997a9df95c5606f3096dae65f09af7ca03a1e9ca28f088caca5cf \ + --hash=sha256:c3a1ac9d394f8e229eb28eec2e04b9a6f5433fa19c9d32f1cb6066e3c5114a1d \ + --hash=sha256:c8ad5cce554e2fcaf8842dee5d9462583b601a3a78f8b76a153c38c963f58c10 \ + --hash=sha256:ca246dffeca0498be9b4e1ee169b62e64694b0f92e6d0be2573e65522f39eea9 \ + --hash=sha256:ca4f5eeadbb57cf03317d6a2857823239a63a59cc935f5bd6cf6e8b7af7a7ecc \ + --hash=sha256:d102b9b21c4e1e40af9a2ab3c6d41afba6bd29c0aa50ca013bf85c99cdc44ac5 \ + --hash=sha256:db3bc9fa39afc5e4e2767da4459df82b095ef0cab2f257707be06c44a1c2c3e5 \ + --hash=sha256:dc9ad9950119d8ae27634e68b7663cc8d340ae535a0f80d85a55e56a6973ab1f \ + --hash=sha256:e02d7c1a02e3814c94ba0cfe43d93e872c758bd8fd5c2797f894d0c49b4a1dfc \ + --hash=sha256:e0898d412a434e768a0c7e365acabe13ff1558b767e400936e26b5b6ed1ee51f \ + --hash=sha256:e18e15287c31baf574fcdf8251fb7f997d64e96c6ecf467906e576da0a079af6 \ + --hash=sha256:ec279dcf3518201fc592c65002754f58a6b542798cd7f3ecd4af086422f33f29 \ + --hash=sha256:ec6fbded0c61afe6f84e3c2a43e6d656791d95747d6d28b73eff1af64108c434 \ + --hash=sha256:eec73a005443061f4759b71a056f745e3b000dc0dc125c9f20560232dfbcbd14 \ + --hash=sha256:f3d812daffd0c2d2794756bd45a353f89e55dc8f91eb2fc840c51b9f6be62667 \ + --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ + --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in +gsutil==5.27 \ + --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # uvicorn +hjson==3.1.0 \ + --hash=sha256:55af475a27cf83a7969c808399d7bccdec8fb836a07ddbd574587593b9cdcf75 \ + --hash=sha256:65713cdcf13214fb554eb8b4ef803419733f4f5e551047c9b711098ab7186b89 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-api-python-client + # google-apitools + # google-auth-httplib2 + # gsutil + # oauth2client +huggingface-hub==0.27.0 \ + --hash=sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81 \ + --hash=sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # datasets + # diffusers + # evaluate + # peft + # tokenizers + # transformers +humanize==4.12.1 \ + --hash=sha256:1338ba97415c96556758a6e2f65977ed406dddf4620d4c6db9bbdfd07f0f1232 \ + --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyio + # jsonschema + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers + # flask + # jupyter-ydoc + # jupyterlab-server +importlib-resources==5.13.0 ; python_full_version < '3.10' \ + --hash=sha256:82d5c6cca930697dbbd86c93333bb2c2e72861d4789a11c2662b933e5ad2b528 \ + --hash=sha256:9f7bd0c97b79972a6cce36a366356d16d5e13b09679c11a58f1014bfdf8e64b2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +iniconfig==2.0.0 \ + --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ + --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +ipykernel==6.27.1 \ + --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ + --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic + # notebook +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipywidgets + # jupyterlab +ipython-genutils==0.2.0 \ + --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \ + --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic + # notebook +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +isodate==0.6.1 \ + --hash=sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96 \ + --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-storage-blob +isoduration==20.11.0 \ + --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ + --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +itsdangerous==2.1.2 \ + --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ + --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # fugue + # fugue-sql-antlr + # jupyter-server + # jupyterlab + # jupyterlab-server + # memray + # nbclassic + # nbconvert + # notebook + # torch +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 + # botocore +joblib==1.2.0 \ + --hash=sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 \ + --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nltk + # scikit-learn +json5==0.9.14 \ + --hash=sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f \ + --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab-server +jsonlines==4.0.0 \ + --hash=sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74 \ + --hash=sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55 + # via lm-eval +jsonpatch==1.32 \ + --hash=sha256:26ac385719ac9f54df8a2f0827bb8253aa3ea8ab7b3368457bcdb8c14595a397 \ + --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +jsonpointer==2.4 \ + --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ + --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonpatch + # jsonschema +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # jupyter-events + # jupyterlab-server + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +jupyter-client==7.3.4 \ + --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ + --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-server + # nbclassic + # nbclient + # notebook +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # nbconvert + # nbformat + # notebook +jupyter-events==0.6.3 \ + --hash=sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17 \ + --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-fileid +jupyter-server==1.24.0 \ + --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ + --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-fileid + # jupyterlab + # jupyterlab-server + # nbclassic + # notebook-shim +jupyter-server-fileid==0.9.0 \ + --hash=sha256:171538b7c7d08d11dbc57d4e6da196e0c258e4c2cd29249ef1e032bb423677f8 \ + --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc +jupyter-server-terminals==0.4.4 \ + --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ + --hash=sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36 + # via -r docker/base-extra/requirements.in +jupyter-server-ydoc==0.6.1 \ + --hash=sha256:18275ff1ce7e93bbda2301ca066273b3951fc50b0d9c8fc33788374134ad7920 \ + --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +jupyter-ydoc==0.2.5 \ + --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ + --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc + # jupyterlab +jupyterlab==3.6.1 \ + --hash=sha256:ad6707dd0149b629d0ed5b56916cfcdb816b376c6af3190337faba09e27ea29e \ + --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-extra/requirements.in +jupyterlab-pygments==0.3.0 \ + --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ + --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +jupyterlab-server==2.24.0 \ + --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ + --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +jupytext==1.16.3 \ + --hash=sha256:1ebac990461dd9f477ff7feec9e3003fa1acc89f3c16ba01b73f79fd76f01a98 \ + --hash=sha256:870e0d7a716dcb1303df6ad1cec65e3315a20daedd808a55cb3dae2d56e4ed20 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +kiwisolver==1.4.5 \ + --hash=sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf \ + --hash=sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e \ + --hash=sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af \ + --hash=sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f \ + --hash=sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046 \ + --hash=sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3 \ + --hash=sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5 \ + --hash=sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71 \ + --hash=sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee \ + --hash=sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3 \ + --hash=sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9 \ + --hash=sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b \ + --hash=sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985 \ + --hash=sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea \ + --hash=sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16 \ + --hash=sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89 \ + --hash=sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c \ + --hash=sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9 \ + --hash=sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712 \ + --hash=sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342 \ + --hash=sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a \ + --hash=sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958 \ + --hash=sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d \ + --hash=sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a \ + --hash=sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130 \ + --hash=sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff \ + --hash=sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898 \ + --hash=sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b \ + --hash=sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f \ + --hash=sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265 \ + --hash=sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93 \ + --hash=sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929 \ + --hash=sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635 \ + --hash=sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709 \ + --hash=sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b \ + --hash=sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb \ + --hash=sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a \ + --hash=sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920 \ + --hash=sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e \ + --hash=sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544 \ + --hash=sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45 \ + --hash=sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390 \ + --hash=sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77 \ + --hash=sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355 \ + --hash=sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff \ + --hash=sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4 \ + --hash=sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7 \ + --hash=sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20 \ + --hash=sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c \ + --hash=sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162 \ + --hash=sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228 \ + --hash=sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437 \ + --hash=sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc \ + --hash=sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a \ + --hash=sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901 \ + --hash=sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4 \ + --hash=sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770 \ + --hash=sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525 \ + --hash=sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad \ + --hash=sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a \ + --hash=sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29 \ + --hash=sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90 \ + --hash=sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250 \ + --hash=sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d \ + --hash=sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3 \ + --hash=sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54 \ + --hash=sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f \ + --hash=sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1 \ + --hash=sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da \ + --hash=sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238 \ + --hash=sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa \ + --hash=sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523 \ + --hash=sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0 \ + --hash=sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205 \ + --hash=sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3 \ + --hash=sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4 \ + --hash=sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac \ + --hash=sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9 \ + --hash=sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb \ + --hash=sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced \ + --hash=sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd \ + --hash=sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0 \ + --hash=sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da \ + --hash=sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18 \ + --hash=sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9 \ + --hash=sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276 \ + --hash=sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333 \ + --hash=sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b \ + --hash=sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db \ + --hash=sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126 \ + --hash=sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9 \ + --hash=sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09 \ + --hash=sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0 \ + --hash=sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec \ + --hash=sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7 \ + --hash=sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff \ + --hash=sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9 \ + --hash=sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192 \ + --hash=sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8 \ + --hash=sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d \ + --hash=sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6 \ + --hash=sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797 \ + --hash=sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892 \ + --hash=sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +lightning-utilities==0.11.2 \ + --hash=sha256:541f471ed94e18a28d72879338c8c52e873bb46f4c47644d89228faeb6751159 \ + --hash=sha256:adf4cf9c5d912fe505db4729e51d1369c6927f3a8ac55a9dff895ce5c0da08d9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pytorch-lightning +llvmlite==0.42.0 \ + --hash=sha256:05cb7e9b6ce69165ce4d1b994fbdedca0c62492e537b0cc86141b6e2c78d5888 \ + --hash=sha256:08fa9ab02b0d0179c688a4216b8939138266519aaa0aa94f1195a8542faedb56 \ + --hash=sha256:3366938e1bf63d26c34fbfb4c8e8d2ded57d11e0567d5bb243d89aab1eb56098 \ + --hash=sha256:43d65cc4e206c2e902c1004dd5418417c4efa6c1d04df05c6c5675a27e8ca90e \ + --hash=sha256:70f44ccc3c6220bd23e0ba698a63ec2a7d3205da0d848804807f37fc243e3f77 \ + --hash=sha256:763f8d8717a9073b9e0246998de89929071d15b47f254c10eef2310b9aac033d \ + --hash=sha256:7e0c4c11c8c2aa9b0701f91b799cb9134a6a6de51444eff5a9087fc7c1384275 \ + --hash=sha256:81e674c2fe85576e6c4474e8c7e7aba7901ac0196e864fe7985492b737dbab65 \ + --hash=sha256:8d90edf400b4ceb3a0e776b6c6e4656d05c7187c439587e06f86afceb66d2be5 \ + --hash=sha256:a78ab89f1924fc11482209f6799a7a3fc74ddc80425a7a3e0e8174af0e9e2301 \ + --hash=sha256:ae511caed28beaf1252dbaf5f40e663f533b79ceb408c874c01754cafabb9cbf \ + --hash=sha256:b2fce7d355068494d1e42202c7aff25d50c462584233013eb4470c33b995e3ee \ + --hash=sha256:bb3975787f13eb97629052edb5017f6c170eebc1c14a0433e8089e5db43bcce6 \ + --hash=sha256:bdd3888544538a94d7ec99e7c62a0cdd8833609c85f0c23fcb6c5c591aec60ad \ + --hash=sha256:c35da49666a21185d21b551fc3caf46a935d54d66969d32d72af109b5e7d2b6f \ + --hash=sha256:c5bece0cdf77f22379f19b1959ccd7aee518afa4afbd3656c6365865f84903f9 \ + --hash=sha256:d0936c2067a67fb8816c908d5457d63eba3e2b17e515c5fe00e5ee2bace06040 \ + --hash=sha256:d47494552559e00d81bfb836cf1c4d5a5062e54102cc5767d5aa1e77ccd2505c \ + --hash=sha256:d7599b65c7af7abbc978dbf345712c60fd596aa5670496561cc10e8a71cebfb2 \ + --hash=sha256:ebe66a86dc44634b59a3bc860c7b20d26d9aaffcd30364ebe8ba79161a9121f4 \ + --hash=sha256:f92b09243c0cc3f457da8b983f67bd8e1295d0f5b3746c7a1861d7a99403854a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # numba +lm-eval==0.4.0 \ + --hash=sha256:2dac56039b191c2dfb0011329ec9082e474006a15575db45468b88753923b34b + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +locust==2.18.0 \ + --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ + --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +log-symbols==0.0.14 \ + --hash=sha256:4952106ff8b605ab7d5081dd2c7e6ca7374584eff7086f499c06edd1ce56dcca \ + --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert + # sacrebleu +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext + # mdit-py-plugins + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jinja2 + # nbconvert + # werkzeug +matplotlib==3.7.4 \ + --hash=sha256:0037d066cca1f4bda626c507cddeb6f7da8283bc6a214da2db13ff2162933c52 \ + --hash=sha256:0604880e4327114054199108b7390f987f4f40ee5ce728985836889e11a780ba \ + --hash=sha256:08372696b3bb45c563472a552a705bfa0942f0a8ffe084db8a4e8f9153fbdf9d \ + --hash=sha256:0c698b33f9a3f0b127a8e614c8fb4087563bb3caa9c9d95298722fa2400cdd3f \ + --hash=sha256:116ef0b43aa00ff69260b4cce39c571e4b8c6f893795b708303fa27d9b9d7548 \ + --hash=sha256:1707b20b25e90538c2ce8d4409e30f0ef1df4017cc65ad0439633492a973635b \ + --hash=sha256:1e6abcde6fc52475f9d6a12b9f1792aee171ce7818ef6df5d61cb0b82816e6e8 \ + --hash=sha256:24b8f28af3e766195c09b780b15aa9f6710192b415ae7866b9c03dee7ec86370 \ + --hash=sha256:286332f8f45f8ffde2d2119b9fdd42153dccd5025fa9f451b4a3b5c086e26da5 \ + --hash=sha256:32183d4be84189a4c52b4b8861434d427d9118db2cec32986f98ed6c02dcfbb6 \ + --hash=sha256:3640f33632beb3993b698b1be9d1c262b742761d6101f3c27b87b2185d25c875 \ + --hash=sha256:390920a3949906bc4b0216198d378f2a640c36c622e3584dd0c79a7c59ae9f50 \ + --hash=sha256:3c557d9165320dff3c5f2bb99bfa0b6813d3e626423ff71c40d6bc23b83c3339 \ + --hash=sha256:3fa193286712c3b6c3cfa5fe8a6bb563f8c52cc750006c782296e0807ce5e799 \ + --hash=sha256:44856632ebce88abd8efdc0a0dceec600418dcac06b72ae77af0019d260aa243 \ + --hash=sha256:55eec941a4743f0bd3e5b8ee180e36b7ea8e62f867bf2613937c9f01b9ac06a2 \ + --hash=sha256:5661c8639aded7d1bbf781373a359011cb1dd09199dee49043e9e68dd16f07ba \ + --hash=sha256:568574756127791903604e315c11aef9f255151e4cfe20ec603a70f9dda8e259 \ + --hash=sha256:5c9133f230945fe10652eb33e43642e933896194ef6a4f8d5e79bb722bdb2000 \ + --hash=sha256:62e094d8da26294634da9e7f1856beee3978752b1b530c8e1763d2faed60cc10 \ + --hash=sha256:632fc938c22117d4241411191cfb88ac264a4c0a9ac702244641ddf30f0d739c \ + --hash=sha256:798ff59022eeb276380ce9a73ba35d13c3d1499ab9b73d194fd07f1b0a41c304 \ + --hash=sha256:7a7709796ac59fe8debde68272388be6ed449c8971362eb5b60d280eac8dadde \ + --hash=sha256:7a9981b2a2dd9da06eca4ab5855d09b54b8ce7377c3e0e3957767b83219d652d \ + --hash=sha256:7cd4fef8187d1dd0d9dcfdbaa06ac326d396fb8c71c647129f0bf56835d77026 \ + --hash=sha256:7d479aac338195e2199a8cfc03c4f2f55914e6a120177edae79e0340a6406457 \ + --hash=sha256:7dfe6821f1944cb35603ff22e21510941bbcce7ccf96095beffaac890d39ce77 \ + --hash=sha256:81e1a7ac818000e8ac3ca696c3fdc501bc2d3adc89005e7b4e22ee5e9d51de98 \ + --hash=sha256:83859ac26839660ecd164ee8311272074250b915ac300f9b2eccc84410f8953b \ + --hash=sha256:8e6227ca8492baeef873cdd8e169a318efb5c3a25ce94e69727e7f964995b0b1 \ + --hash=sha256:ab16868714e5cc90ec8f7ff5d83d23bcd6559224d8e9cb5227c9f58748889fe8 \ + --hash=sha256:b167f54cb4654b210c9624ec7b54e2b3b8de68c93a14668937e7e53df60770ec \ + --hash=sha256:b1d70bc1ea1bf110bec64f4578de3e14947909a8887df4c1fd44492eca487955 \ + --hash=sha256:b71079239bd866bf56df023e5146de159cb0c7294e508830901f4d79e2d89385 \ + --hash=sha256:be3493bbcb4d255cb71de1f9050ac71682fce21a56089eadbcc8e21784cb12ee \ + --hash=sha256:bf91a42f6274a64cb41189120b620c02e574535ff6671fa836cade7701b06fbd \ + --hash=sha256:c83f49e795a5de6c168876eea723f5b88355202f9603c55977f5356213aa8280 \ + --hash=sha256:c90590d4b46458677d80bc3218f3f1ac11fc122baa9134e0cb5b3e8fc3714052 \ + --hash=sha256:ce163be048613b9d1962273708cc97e09ca05d37312e670d166cf332b80bbaff \ + --hash=sha256:de7c07069687be64fd9d119da3122ba13a8d399eccd3f844815f0dc78a870b2c \ + --hash=sha256:e4dfee00aa4bd291e08bb9461831c26ce0da85ca9781bb8794f2025c6e925281 \ + --hash=sha256:e680f49bb8052ba3b2698e370155d2b4afb49f9af1cc611a26579d5981e2852a \ + --hash=sha256:f59a70e2ec3212033ef6633ed07682da03f5249379722512a3a2a26a7d9a738e \ + --hash=sha256:f757e8b42841d6add0cb69b42497667f0d25a404dcd50bd923ec9904e38414c4 \ + --hash=sha256:f8c725d1dd2901b2e7ec6cd64165e00da2978cc23d4143cb9ef745bec88e6b04 \ + --hash=sha256:f8fc2df756105784e650605e024d36dc2d048d68e5c1b26df97ee25d1bd41f9f \ + --hash=sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # ipython +mbstrdecoder==1.1.4 \ + --hash=sha256:03dae4ec50ec0d2ff4743e63fdbd5e0022815857494d35224b60775d3d934a8c \ + --hash=sha256:8105ef9cf6b7d7d69fe7fd6b68a2d8f281ca9b365d7a9b670be376b2e6c81b21 + # via + # dataproperty + # pytablewriter + # typepy +mdit-py-plugins==0.3.5 \ + --hash=sha256:ca9a0714ea59a24b2b044a1831f48d817dd0c817e84339f20e7889f392d77c4e \ + --hash=sha256:eee0adc7195e5827e17e02d2a258a2ba159944a0748f59c5099a4a27f78fcf6a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +mistune==0.8.4 \ + --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ + --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +modin==0.22.2 \ + --hash=sha256:532fe0bfb2dcf06c0ad2d467721ef489fd58bb3ef7150bcf4a7ddd1069be1e4d \ + --hash=sha256:fa897dc59d5b9a8496be044185689fdd337b9f26cc81c4144b217a2a94d029bc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +monotonic==1.6 \ + --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ + --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +more-itertools==10.7.0 \ + --hash=sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3 \ + --hash=sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # openai-whisper +mpmath==1.3.0 \ + --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # sympy +msal==1.28.1 \ + --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ + --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.2.0b1 \ + --hash=sha256:217f391bb549de11b19abe8029a8375fe3ca0556aa8cce004b2083f00a569b71 \ + --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # azure-identity +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # locust +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +multiprocess==0.70.15 \ + --hash=sha256:0eac53214d664c49a34695e5824872db4006b1a465edd7459a251809c3773370 \ + --hash=sha256:134f89053d82c9ed3b73edd3a2531eb791e602d4f4156fc92a79259590bd9670 \ + --hash=sha256:18f9f2c7063346d1617bd1684fdcae8d33380ae96b99427260f562e1a1228b67 \ + --hash=sha256:1a51dd34096db47fb21fa2b839e615b051d51b97af9a67afbcdaa67186b44883 \ + --hash=sha256:20e024018c46d0d1602024c613007ac948f9754659e3853b0aa705e83f6931d8 \ + --hash=sha256:3e0953f5d52b4c76f1c973eaf8214554d146f2be5decb48e928e55c7a2d19338 \ + --hash=sha256:4271647bd8a49c28ecd6eb56a7fdbd3c212c45529ad5303b40b3c65fc6928e5f \ + --hash=sha256:73db2e7b32dcc7f9b0f075c2ffa45c90b6729d3f1805f27e88534c8d321a1be5 \ + --hash=sha256:7dd58e33235e83cf09d625e55cffd7b0f0eede7ee9223cdd666a87624f60c21a \ + --hash=sha256:aa36c7ed16f508091438687fe9baa393a7a8e206731d321e443745e743a0d4e5 \ + --hash=sha256:bee9afba476c91f9ebee7beeee0601face9eff67d822e893f9a893725fbd6316 \ + --hash=sha256:cf981fb998d6ec3208cb14f0cf2e9e80216e834f5d51fd09ebc937c32b960902 \ + --hash=sha256:e576062981c91f0fe8a463c3d52506e598dfc51320a8dd8d78b987dfca91c5db \ + --hash=sha256:e73f497e6696a0f5433ada2b3d599ae733b87a6e8b008e387c62ac9127add177 \ + --hash=sha256:f20eed3036c0ef477b07a4177cf7c1ba520d9a2677870a4f47fe026f0cd6787e \ + --hash=sha256:f7d4a1629bccb433114c3b4885f69eccc200994323c80f6feee73b0edc9199c5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate +nbclassic==1.0.0 \ + --hash=sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3 \ + --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab + # notebook +nbclient==0.5.13 \ + --hash=sha256:40c52c9b5e3c31faecaee69f202b3f53e38d7c1c563de0fadde9d7eda0fdafe8 \ + --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +nbconvert==6.5.4 \ + --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ + --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # jupytext + # nbclassic + # nbclient + # nbconvert + # notebook +nest-asyncio==1.5.8 \ + --hash=sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb \ + --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # nbclassic + # nbclient + # notebook +networkx==3.2.1 \ + --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # torch +ninja==1.11.1.1 \ + --hash=sha256:18302d96a5467ea98b68e1cae1ae4b4fb2b2a56a82b955193c637557c7273dbd \ + --hash=sha256:185e0641bde601e53841525c4196278e9aaf4463758da6dd1e752c0a0f54136a \ + --hash=sha256:376889c76d87b95b5719fdd61dd7db193aa7fd4432e5d52d2e44e4c497bdbbee \ + --hash=sha256:3e0f9be5bb20d74d58c66cc1c414c3e6aeb45c35b0d0e41e8d739c2c0d57784f \ + --hash=sha256:73b93c14046447c7c5cc892433d4fae65d6364bec6685411cb97a8bcf815f93a \ + --hash=sha256:7563ce1d9fe6ed5af0b8dd9ab4a214bf4ff1f2f6fd6dc29f480981f0f8b8b249 \ + --hash=sha256:76482ba746a2618eecf89d5253c0d1e4f1da1270d41e9f54dfbd91831b0f6885 \ + --hash=sha256:84502ec98f02a037a169c4b0d5d86075eaf6afc55e1879003d6cab51ced2ea4b \ + --hash=sha256:95da904130bfa02ea74ff9c0116b4ad266174fafb1c707aa50212bc7859aebf1 \ + --hash=sha256:9d793b08dd857e38d0b6ffe9e6b7145d7c485a42dcfea04905ca0cdb6017cc3c \ + --hash=sha256:9df724344202b83018abb45cb1efc22efd337a1496514e7e6b3b59655be85205 \ + --hash=sha256:aad34a70ef15b12519946c5633344bc775a7656d789d9ed5fdb0d456383716ef \ + --hash=sha256:d491fc8d89cdcb416107c349ad1e3a735d4c4af5e1cb8f5f727baca6350fdaea \ + --hash=sha256:ecf80cf5afd09f14dcceff28cb3f11dc90fb97c999c89307aea435889cb66877 \ + --hash=sha256:fa2ba9d74acfdfbfbcf06fad1b8282de8a7a8c481d9dee45c859a8c93fcc1082 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +nltk==3.9.1 \ + --hash=sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1 \ + --hash=sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868 + # via rouge-score +notebook==6.5.7 \ + --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \ + --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab +notebook-shim==0.2.3 \ + --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ + --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbclassic +numba==0.59.1 \ + --hash=sha256:0594b3dfb369fada1f8bb2e3045cd6c61a564c62e50cf1f86b4666bc721b3450 \ + --hash=sha256:0b77aecf52040de2a1eb1d7e314497b9e56fba17466c80b457b971a25bb1576d \ + --hash=sha256:0f68589740a8c38bb7dc1b938b55d1145244c8353078eea23895d4f82c8b9ec1 \ + --hash=sha256:1cce206a3b92836cdf26ef39d3a3242fec25e07f020cc4feec4c4a865e340569 \ + --hash=sha256:2801003caa263d1e8497fb84829a7ecfb61738a95f62bc05693fcf1733e978e4 \ + --hash=sha256:3476a4f641bfd58f35ead42f4dcaf5f132569c4647c6f1360ccf18ee4cda3990 \ + --hash=sha256:411df625372c77959570050e861981e9d196cc1da9aa62c3d6a836b5cc338966 \ + --hash=sha256:43727e7ad20b3ec23ee4fc642f5b61845c71f75dd2825b3c234390c6d8d64051 \ + --hash=sha256:4e0318ae729de6e5dbe64c75ead1a95eb01fabfe0e2ebed81ebf0344d32db0ae \ + --hash=sha256:525ef3f820931bdae95ee5379c670d5c97289c6520726bc6937a4a7d4230ba24 \ + --hash=sha256:5bf68f4d69dd3a9f26a9b23548fa23e3bcb9042e2935257b471d2a8d3c424b7f \ + --hash=sha256:649913a3758891c77c32e2d2a3bcbedf4a69f5fea276d11f9119677c45a422e8 \ + --hash=sha256:76f69132b96028d2774ed20415e8c528a34e3299a40581bae178f0994a2f370b \ + --hash=sha256:7d80bce4ef7e65bf895c29e3889ca75a29ee01da80266a01d34815918e365835 \ + --hash=sha256:8c8b4477763cb1fbd86a3be7050500229417bf60867c93e131fd2626edb02238 \ + --hash=sha256:8d51ccd7008a83105ad6a0082b6a2b70f1142dc7cfd76deb8c5a862367eb8c86 \ + --hash=sha256:9712808e4545270291d76b9a264839ac878c5eb7d8b6e02c970dc0ac29bc8187 \ + --hash=sha256:97385a7f12212c4f4bc28f648720a92514bee79d7063e40ef66c2d30600fd18e \ + --hash=sha256:990e395e44d192a12105eca3083b61307db7da10e093972ca285c85bef0963d6 \ + --hash=sha256:dd2842fac03be4e5324ebbbd4d2d0c8c0fc6e0df75c09477dd45b288a0777389 \ + --hash=sha256:f7ad1d217773e89a9845886401eaaab0a156a90aa2f179fdc125261fd1105096 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # openai-whisper + # statsforecast +numexpr==2.8.4 \ + --hash=sha256:059546e8f6283ccdb47c683101a890844f667fa6d56258d48ae2ecf1b3875957 \ + --hash=sha256:17ac9cfe6d0078c5fc06ba1c1bbd20b8783f28c6f475bbabd3cad53683075cab \ + --hash=sha256:3f039321d1c17962c33079987b675fb251b273dbec0f51aac0934e932446ccc3 \ + --hash=sha256:5538b30199bfc68886d2be18fcef3abd11d9271767a7a69ff3688defe782800a \ + --hash=sha256:655d84eb09adfee3c09ecf4a89a512225da153fdb7de13c447404b7d0523a9a7 \ + --hash=sha256:6931b1e9d4f629f43c14b21d44f3f77997298bea43790cfcdb4dd98804f90783 \ + --hash=sha256:6c368aa35ae9b18840e78b05f929d3a7b3abccdba9630a878c7db74ca2368339 \ + --hash=sha256:6ee9db7598dd4001138b482342b96d78110dd77cefc051ec75af3295604dde6a \ + --hash=sha256:77898fdf3da6bb96aa8a4759a8231d763a75d848b2f2e5c5279dad0b243c8dfe \ + --hash=sha256:7bca95f4473b444428061d4cda8e59ac564dc7dc6a1dea3015af9805c6bc2946 \ + --hash=sha256:7d71add384adc9119568d7e9ffa8a35b195decae81e0abf54a2b7779852f0637 \ + --hash=sha256:845a6aa0ed3e2a53239b89c1ebfa8cf052d3cc6e053c72805e8153300078c0b1 \ + --hash=sha256:90f12cc851240f7911a47c91aaf223dba753e98e46dff3017282e633602e76a7 \ + --hash=sha256:9400781553541f414f82eac056f2b4c965373650df9694286b9bd7e8d413f8d8 \ + --hash=sha256:9e34931089a6bafc77aaae21f37ad6594b98aa1085bb8b45d5b3cd038c3c17d9 \ + --hash=sha256:9f096d707290a6a00b6ffdaf581ee37331109fb7b6c8744e9ded7c779a48e517 \ + --hash=sha256:a38664e699526cb1687aefd9069e2b5b9387da7feac4545de446141f1ef86f46 \ + --hash=sha256:a6d2d7740ae83ba5f3531e83afc4b626daa71df1ef903970947903345c37bd03 \ + --hash=sha256:a75967d46b6bd56455dd32da6285e5ffabe155d0ee61eef685bbfb8dafb2e484 \ + --hash=sha256:b076db98ca65eeaf9bd224576e3ac84c05e451c0bd85b13664b7e5f7b62e2c70 \ + --hash=sha256:b318541bf3d8326682ebada087ba0050549a16d8b3fa260dd2585d73a83d20a7 \ + --hash=sha256:b96334fc1748e9ec4f93d5fadb1044089d73fb08208fdb8382ed77c893f0be01 \ + --hash=sha256:c867cc36cf815a3ec9122029874e00d8fbcef65035c4a5901e9b120dd5d626a2 \ + --hash=sha256:d5432537418d18691b9115d615d6daa17ee8275baef3edf1afbbf8bc69806147 \ + --hash=sha256:db93cf1842f068247de631bfc8af20118bf1f9447cd929b531595a5e0efc9346 \ + --hash=sha256:df35324666b693f13a016bc7957de7cc4d8801b746b81060b671bf78a52b9037 \ + --hash=sha256:df3a1f6b24214a1ab826e9c1c99edf1686c8e307547a9aef33910d586f626d01 \ + --hash=sha256:eaec59e9bf70ff05615c34a8b8d6c7bd042bd9f55465d7b495ea5436f45319d0 \ + --hash=sha256:f3a920bfac2645017110b87ddbe364c9c7a742870a4d2f6120b8786c25dc6db3 \ + --hash=sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # lm-eval +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # accelerate + # albucore + # albumentations + # bitsandbytes + # contourpy + # datasets + # decord + # deepspeed + # diffusers + # evaluate + # matplotlib + # modin + # numba + # numexpr + # openai-whisper + # opencv-python-headless + # pandas + # patsy + # peft + # petastorm + # pytorch-lightning + # rouge-score + # sacrebleu + # scikit-learn + # scipy + # statsforecast + # statsmodels + # tensorboardx + # torchmetrics + # torchtext + # transformers + # triad + # utilsforecast + # xgboost +nvidia-nccl-cu12==2.20.5 ; platform_machine != 'aarch64' and sys_platform == 'linux' \ + --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \ + --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # xgboost +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # gcs-oauth2-boto-plugin + # google-apitools +oauthlib==3.2.2 \ + --hash=sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca \ + --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # requests-oauthlib +openai-whisper==20250625 \ + --hash=sha256:37a91a3921809d9f44748ffc73c0a55c9f366c85a3ef5c2ae0cc09540432eb96 + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +opencv-python-headless==4.9.0.80 \ + --hash=sha256:11e3849d83e6651d4e7699aadda9ec7ed7c38957cbbcb99db074f2a2d2de9670 \ + --hash=sha256:2ea8a2edc4db87841991b2fbab55fc07b97ecb602e0f47d5d485bd75cee17c1a \ + --hash=sha256:57ce2865e8fec431c6f97a81e9faaf23fa5be61011d0a75ccf47a3c0d65fa73d \ + --hash=sha256:71a4cd8cf7c37122901d8e81295db7fb188730e33a0e40039a4e59c1030b0958 \ + --hash=sha256:976656362d68d9f40a5c66f83901430538002465f7db59142784f3893918f3df \ + --hash=sha256:a8056c2cb37cd65dfcdf4153ca16f7362afcf3a50d600d6bb69c660fc61ee29c \ + --hash=sha256:e0ee54e27be493e8f7850847edae3128e18b540dac1d7b2e4001b8944e11e1c6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # albucore + # albumentations +openskill==6.0.0 \ + --hash=sha256:eee2d0b3c1648663a480cf4680654dfd12bdc749a96d611b1904e191f2632f62 \ + --hash=sha256:f89b18930c2befd580407e7cf80a480bc69c3b25d2841346be6d875c8c4bc92e + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # anyscale + # datasets + # deepspeed + # evaluate + # fugue-sql-antlr + # huggingface-hub + # ipykernel + # jupyter-server + # jupyterlab + # jupyterlab-server + # jupytext + # lightning-utilities + # matplotlib + # modin + # nbconvert + # peft + # petastorm + # pytest + # pytorch-lightning + # statsmodels + # tensorboardx + # torchmetrics + # transformers + # typepy + # utilsforecast +pandas==1.5.3 \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate + # modin + # petastorm + # qpd + # statsforecast + # statsmodels + # triad + # utilsforecast +pandocfilters==1.5.0 \ + --hash=sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38 \ + --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jedi +pathspec==0.11.2 \ + --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ + --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +pathvalidate==3.3.1 \ + --hash=sha256:5263baab691f8e1af96092fa5137ee17df5bdfbd6cff1fcac4d6ef4bc2e1735f \ + --hash=sha256:b18c07212bfead624345bb8e1d6141cdcf15a39736994ea0b94035ad2b1ba177 + # via pytablewriter +patsy==0.5.3 \ + --hash=sha256:7eb5349754ed6aa982af81f636479b1b8db9d5b1a6e957a6016ec0534b5c86b7 \ + --hash=sha256:bdc18001875e319bc91c812c1eb6a10be4bb13cb81eb763f466179dca3b67277 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # statsmodels +peft==0.17.1 \ + --hash=sha256:3d129d64def3d74779c32a080d2567e5f7b674e77d546e3585138216d903f99e \ + --hash=sha256:e6002b42517976c290b3b8bbb9829a33dd5d470676b2dec7cb4df8501b77eb9f + # via lm-eval +petastorm==0.12.1 \ + --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +pexpect==4.8.0 ; sys_platform != 'win32' \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +pillow==10.3.0 \ + --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ + --hash=sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2 \ + --hash=sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb \ + --hash=sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d \ + --hash=sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa \ + --hash=sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3 \ + --hash=sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1 \ + --hash=sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a \ + --hash=sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd \ + --hash=sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8 \ + --hash=sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999 \ + --hash=sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599 \ + --hash=sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936 \ + --hash=sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375 \ + --hash=sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d \ + --hash=sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b \ + --hash=sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60 \ + --hash=sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572 \ + --hash=sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3 \ + --hash=sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced \ + --hash=sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f \ + --hash=sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b \ + --hash=sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19 \ + --hash=sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f \ + --hash=sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d \ + --hash=sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383 \ + --hash=sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795 \ + --hash=sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355 \ + --hash=sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57 \ + --hash=sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09 \ + --hash=sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b \ + --hash=sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462 \ + --hash=sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf \ + --hash=sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f \ + --hash=sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a \ + --hash=sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad \ + --hash=sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9 \ + --hash=sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d \ + --hash=sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45 \ + --hash=sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994 \ + --hash=sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d \ + --hash=sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338 \ + --hash=sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463 \ + --hash=sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451 \ + --hash=sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591 \ + --hash=sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c \ + --hash=sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd \ + --hash=sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32 \ + --hash=sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9 \ + --hash=sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf \ + --hash=sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5 \ + --hash=sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828 \ + --hash=sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3 \ + --hash=sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5 \ + --hash=sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2 \ + --hash=sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b \ + --hash=sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2 \ + --hash=sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475 \ + --hash=sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3 \ + --hash=sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb \ + --hash=sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef \ + --hash=sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015 \ + --hash=sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002 \ + --hash=sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170 \ + --hash=sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84 \ + --hash=sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57 \ + --hash=sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f \ + --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ + --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers + # matplotlib +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-core + # wandb +pluggy==1.3.0 \ + --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ + --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # msal-extensions + # sacrebleu +prometheus-client==0.19.0 \ + --hash=sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1 \ + --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # google-api-core + # google-cloud-certificate-manager + # google-cloud-common + # google-cloud-compute + # google-cloud-filestore + # google-cloud-redis + # google-cloud-resource-manager + # google-cloud-secret-manager + # googleapis-common-protos + # grpc-google-iam-v1 + # grpcio-status + # grpcio-tools + # proto-plus + # tensorboardx + # wandb +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # accelerate + # deepspeed + # ipykernel + # locust + # modin + # peft + # petastorm + # wandb +ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pexpect + # terminado +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +py-cpuinfo==9.0.0 \ + --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ + --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +py4j==0.10.9.7 \ + --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ + --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pyspark +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # datasets + # petastorm + # triad +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth + # oauth2client +pybind11==3.0.1 \ + --hash=sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051 \ + --hash=sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89 + # via lm-eval +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # albumentations + # deepspeed + # fastapi +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython + # nbconvert + # rich +pyjwt==2.8.0 \ + --hash=sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de \ + --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # msal +pynvml==11.5.0 \ + --hash=sha256:5cce014ac01b098d08f06178f86c37be409b80b2e903a5a03ce15eed60f55e25 \ + --hash=sha256:d027b21b95b1088b9fc278117f9f61b7c67f8e33a787e9f83f735f0f71ac32d0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # gcs-oauth2-boto-plugin + # google-oauth + # gsutil +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # httplib2 + # matplotlib +pyspark==3.4.1 \ + --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +pytablewriter==1.2.1 \ + --hash=sha256:7bd0f4f397e070e3b8a34edcf1b9257ccbb18305493d8350a5dbc9957fced959 \ + --hash=sha256:e906ff7ff5151d70a5f66e0f7b75642a7f2dce8d893c265b79cc9cf6bc04ddb4 + # via lm-eval +pytest==7.4.4 \ + --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ + --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # arrow + # botocore + # jupyter-client + # matplotlib + # pandas + # typepy +python-json-logger==2.0.7 \ + --hash=sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c \ + --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-events +pytorch-lightning==1.8.6 \ + --hash=sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d \ + --hash=sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pandas + # typepy +pyu2f==0.1.5 \ + --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-reauth +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # albumentations + # anyscale + # datasets + # huggingface-hub + # jupyter-events + # jupytext + # peft + # pytorch-lightning + # transformers + # wandb +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipykernel + # jupyter-client + # jupyter-server + # locust + # nbclassic + # notebook + # petastorm +qpd==0.4.4 \ + --hash=sha256:e0ed05b88e321ea9935874377bda11339c90f1469f34344e9b41d16b8088e136 \ + --hash=sha256:fc02b53d990f505353ec495682fbc107dfc06c59e66d2206b5d2db2b5700b629 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +regex==2024.5.15 \ + --hash=sha256:0721931ad5fe0dda45d07f9820b90b2148ccdd8e45bb9e9b42a146cb4f695649 \ + --hash=sha256:10002e86e6068d9e1c91eae8295ef690f02f913c57db120b58fdd35a6bb1af35 \ + --hash=sha256:10e4ce0dca9ae7a66e6089bb29355d4432caed736acae36fef0fdd7879f0b0cb \ + --hash=sha256:119af6e56dce35e8dfb5222573b50c89e5508d94d55713c75126b753f834de68 \ + --hash=sha256:1337b7dbef9b2f71121cdbf1e97e40de33ff114801263b275aafd75303bd62b5 \ + --hash=sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133 \ + --hash=sha256:1595f2d10dff3d805e054ebdc41c124753631b6a471b976963c7b28543cf13b0 \ + --hash=sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d \ + --hash=sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da \ + --hash=sha256:19068a6a79cf99a19ccefa44610491e9ca02c2be3305c7760d3831d38a467a6f \ + --hash=sha256:19dfb1c504781a136a80ecd1fff9f16dddf5bb43cec6871778c8a907a085bb3d \ + --hash=sha256:1b5269484f6126eee5e687785e83c6b60aad7663dafe842b34691157e5083e53 \ + --hash=sha256:1c1c174d6ec38d6c8a7504087358ce9213d4332f6293a94fbf5249992ba54efa \ + --hash=sha256:2431b9e263af1953c55abbd3e2efca67ca80a3de8a0437cb58e2421f8184717a \ + --hash=sha256:287eb7f54fc81546346207c533ad3c2c51a8d61075127d7f6d79aaf96cdee890 \ + --hash=sha256:2b4c884767504c0e2401babe8b5b7aea9148680d2e157fa28f01529d1f7fcf67 \ + --hash=sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c \ + --hash=sha256:391d7f7f1e409d192dba8bcd42d3e4cf9e598f3979cdaed6ab11288da88cb9f2 \ + --hash=sha256:3ad070b823ca5890cab606c940522d05d3d22395d432f4aaaf9d5b1653e47ced \ + --hash=sha256:3cd7874d57f13bf70078f1ff02b8b0aa48d5b9ed25fc48547516c6aba36f5741 \ + --hash=sha256:3e507ff1e74373c4d3038195fdd2af30d297b4f0950eeda6f515ae3d84a1770f \ + --hash=sha256:455705d34b4154a80ead722f4f185b04c4237e8e8e33f265cd0798d0e44825fa \ + --hash=sha256:4a605586358893b483976cffc1723fb0f83e526e8f14c6e6614e75919d9862cf \ + --hash=sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4 \ + --hash=sha256:4eee78a04e6c67e8391edd4dad3279828dd66ac4b79570ec998e2155d2e59fd5 \ + --hash=sha256:5397de3219a8b08ae9540c48f602996aa6b0b65d5a61683e233af8605c42b0f2 \ + --hash=sha256:5b5467acbfc153847d5adb21e21e29847bcb5870e65c94c9206d20eb4e99a384 \ + --hash=sha256:5eaa7ddaf517aa095fa8da0b5015c44d03da83f5bd49c87961e3c997daed0de7 \ + --hash=sha256:632b01153e5248c134007209b5c6348a544ce96c46005d8456de1d552455b014 \ + --hash=sha256:64c65783e96e563103d641760664125e91bd85d8e49566ee560ded4da0d3e704 \ + --hash=sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5 \ + --hash=sha256:673b5a6da4557b975c6c90198588181029c60793835ce02f497ea817ff647cb2 \ + --hash=sha256:68811ab14087b2f6e0fc0c2bae9ad689ea3584cad6917fc57be6a48bbd012c49 \ + --hash=sha256:6e8d717bca3a6e2064fc3a08df5cbe366369f4b052dcd21b7416e6d71620dca1 \ + --hash=sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694 \ + --hash=sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629 \ + --hash=sha256:7b59138b219ffa8979013be7bc85bb60c6f7b7575df3d56dc1e403a438c7a3f6 \ + --hash=sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435 \ + --hash=sha256:833616ddc75ad595dee848ad984d067f2f31be645d603e4d158bba656bbf516c \ + --hash=sha256:87e2a9c29e672fc65523fb47a90d429b70ef72b901b4e4b1bd42387caf0d6835 \ + --hash=sha256:8fe45aa3f4aa57faabbc9cb46a93363edd6197cbc43523daea044e9ff2fea83e \ + --hash=sha256:9e717956dcfd656f5055cc70996ee2cc82ac5149517fc8e1b60261b907740201 \ + --hash=sha256:9efa1a32ad3a3ea112224897cdaeb6aa00381627f567179c0314f7b65d354c62 \ + --hash=sha256:9ff11639a8d98969c863d4617595eb5425fd12f7c5ef6621a4b74b71ed8726d5 \ + --hash=sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16 \ + --hash=sha256:a0981022dccabca811e8171f913de05720590c915b033b7e601f35ce4ea7019f \ + --hash=sha256:a0bd000c6e266927cb7a1bc39d55be95c4b4f65c5be53e659537537e019232b1 \ + --hash=sha256:a32b96f15c8ab2e7d27655969a23895eb799de3665fa94349f3b2fbfd547236f \ + --hash=sha256:a81e3cfbae20378d75185171587cbf756015ccb14840702944f014e0d93ea09f \ + --hash=sha256:ac394ff680fc46b97487941f5e6ae49a9f30ea41c6c6804832063f14b2a5a145 \ + --hash=sha256:ada150c5adfa8fbcbf321c30c751dc67d2f12f15bd183ffe4ec7cde351d945b3 \ + --hash=sha256:b2b6f1b3bb6f640c1a92be3bbfbcb18657b125b99ecf141fb3310b5282c7d4ed \ + --hash=sha256:b802512f3e1f480f41ab5f2cfc0e2f761f08a1f41092d6718868082fc0d27143 \ + --hash=sha256:ba68168daedb2c0bab7fd7e00ced5ba90aebf91024dea3c88ad5063c2a562cca \ + --hash=sha256:bfc4f82cabe54f1e7f206fd3d30fda143f84a63fe7d64a81558d6e5f2e5aaba9 \ + --hash=sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa \ + --hash=sha256:c3bea0ba8b73b71b37ac833a7f3fd53825924165da6a924aec78c13032f20850 \ + --hash=sha256:c486b4106066d502495b3025a0a7251bf37ea9540433940a23419461ab9f2a80 \ + --hash=sha256:c49e15eac7c149f3670b3e27f1f28a2c1ddeccd3a2812cba953e01be2ab9b5fe \ + --hash=sha256:c6a2b494a76983df8e3d3feea9b9ffdd558b247e60b92f877f93a1ff43d26656 \ + --hash=sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388 \ + --hash=sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1 \ + --hash=sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294 \ + --hash=sha256:cf2430df4148b08fb4324b848672514b1385ae3807651f3567871f130a728cc3 \ + --hash=sha256:d0a3d8d6acf0c78a1fff0e210d224b821081330b8524e3e2bc5a68ef6ab5803d \ + --hash=sha256:d0c0c0003c10f54a591d220997dd27d953cd9ccc1a7294b40a4be5312be8797b \ + --hash=sha256:d1f059a4d795e646e1c37665b9d06062c62d0e8cc3c511fe01315973a6542e40 \ + --hash=sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600 \ + --hash=sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c \ + --hash=sha256:d99ceffa25ac45d150e30bd9ed14ec6039f2aad0ffa6bb87a5936f5782fc1569 \ + --hash=sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456 \ + --hash=sha256:e4682f5ba31f475d58884045c1a97a860a007d44938c4c0895f41d64481edbc9 \ + --hash=sha256:e5bb9425fe881d578aeca0b2b4b3d314ec88738706f66f219c194d67179337cb \ + --hash=sha256:e64198f6b856d48192bf921421fdd8ad8eb35e179086e99e99f711957ffedd6e \ + --hash=sha256:e6662686aeb633ad65be2a42b4cb00178b3fbf7b91878f9446075c404ada552f \ + --hash=sha256:ec54d5afa89c19c6dd8541a133be51ee1017a38b412b1321ccb8d6ddbeb4cf7d \ + --hash=sha256:f5b1dff3ad008dccf18e652283f5e5339d70bf8ba7c98bf848ac33db10f7bc7a \ + --hash=sha256:f8ec0c2fea1e886a19c3bee0cd19d862b3aa75dcdfb42ebe8ed30708df64687a \ + --hash=sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers + # nltk + # sacrebleu + # tiktoken + # transformers +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # azure-core + # azure-datalake-store + # datasets + # diffusers + # evaluate + # fsspec + # gcsfs + # google-api-core + # google-auth + # google-cloud-storage + # google-oauth + # huggingface-hub + # jupyterlab-server + # locust + # msal + # requests-oauthlib + # smart-open + # tiktoken + # torchtext + # transformers + # wandb +requests-oauthlib==2.0.0 \ + --hash=sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36 \ + --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth-oauthlib +retry-decorator==1.1.1 \ + --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +rfc3339-validator==0.1.4 \ + --hash=sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b \ + --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jupyter-events +rfc3986-validator==0.1.1 \ + --hash=sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 \ + --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jupyter-events +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # memray + # typer +rouge-score==0.1.2 \ + --hash=sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04 + # via lm-eval +roundrobin==0.0.4 \ + --hash=sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd + # via locust +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-auth + # oauth2client +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 +sacrebleu==2.5.1 \ + --hash=sha256:1a088cc1c74ffaff0759c3191a85db09eecfa7a52e09be244e319d8d64e2fb11 \ + --hash=sha256:7c9f7ee75bec3a5bf19dd87112dfd654952130e403ad30c48298fb7da3212d5d + # via lm-eval +safetensors==0.4.3 \ + --hash=sha256:018b691383026a2436a22b648873ed11444a364324e7088b99cd2503dd828400 \ + --hash=sha256:01e4b22e3284cd866edeabe4f4d896229495da457229408d2e1e4810c5187121 \ + --hash=sha256:01feb3089e5932d7e662eda77c3ecc389f97c0883c4a12b5cfdc32b589a811c3 \ + --hash=sha256:02318f01e332cc23ffb4f6716e05a492c5f18b1d13e343c49265149396284a44 \ + --hash=sha256:02ef3a24face643456020536591fbd3c717c5abaa2737ec428ccbbc86dffa7a4 \ + --hash=sha256:03a4447c784917c9bf01d8f2ac5080bc15c41692202cd5f406afba16629e84d6 \ + --hash=sha256:084fc436e317f83f7071fc6a62ca1c513b2103db325cd09952914b50f51cf78f \ + --hash=sha256:0bf4f9d6323d9f86eef5567eabd88f070691cf031d4c0df27a40d3b4aaee755b \ + --hash=sha256:0d52c958dc210265157573f81d34adf54e255bc2b59ded6218500c9b15a750eb \ + --hash=sha256:0d5ffc6a80f715c30af253e0e288ad1cd97a3d0086c9c87995e5093ebc075e50 \ + --hash=sha256:0d9cd8e1560dfc514b6d7859247dc6a86ad2f83151a62c577428d5102d872721 \ + --hash=sha256:0dd37306546b58d3043eb044c8103a02792cc024b51d1dd16bd3dd1f334cb3ed \ + --hash=sha256:1139eb436fd201c133d03c81209d39ac57e129f5e74e34bb9ab60f8d9b726270 \ + --hash=sha256:19bbdf95de2cf64f25cd614c5236c8b06eb2cfa47cbf64311f4b5d80224623a3 \ + --hash=sha256:1ab6527a20586d94291c96e00a668fa03f86189b8a9defa2cdd34a1a01acc7d5 \ + --hash=sha256:1b89381517891a7bb7d1405d828b2bf5d75528299f8231e9346b8eba092227f9 \ + --hash=sha256:1f598b713cc1a4eb31d3b3203557ac308acf21c8f41104cdd74bf640c6e538e3 \ + --hash=sha256:22d21760dc6ebae42e9c058d75aa9907d9f35e38f896e3c69ba0e7b213033856 \ + --hash=sha256:22f3b5d65e440cec0de8edaa672efa888030802e11c09b3d6203bff60ebff05a \ + --hash=sha256:2a0deb16a1d3ea90c244ceb42d2c6c276059616be21a19ac7101aa97da448faf \ + --hash=sha256:2a1f4430cc0c9d6afa01214a4b3919d0a029637df8e09675ceef1ca3f0dfa0df \ + --hash=sha256:2d603846a8585b9432a0fd415db1d4c57c0f860eb4aea21f92559ff9902bae4d \ + --hash=sha256:2f85fc50c4e07a21e95c24e07460fe6f7e2859d0ce88092838352b798ce711c2 \ + --hash=sha256:309b10dbcab63269ecbf0e2ca10ce59223bb756ca5d431ce9c9eeabd446569da \ + --hash=sha256:3615a96dd2dcc30eb66d82bc76cda2565f4f7bfa89fcb0e31ba3cea8a1a9ecbb \ + --hash=sha256:38e2a8666178224a51cca61d3cb4c88704f696eac8f72a49a598a93bbd8a4af9 \ + --hash=sha256:393e6e391467d1b2b829c77e47d726f3b9b93630e6a045b1d1fca67dc78bf632 \ + --hash=sha256:3f9cdca09052f585e62328c1c2923c70f46814715c795be65f0b93f57ec98a02 \ + --hash=sha256:41a727a7f5e6ad9f1db6951adee21bbdadc632363d79dc434876369a17de6ad6 \ + --hash=sha256:420a98f593ff9930f5822560d14c395ccbc57342ddff3b463bc0b3d6b1951550 \ + --hash=sha256:446e9fe52c051aeab12aac63d1017e0f68a02a92a027b901c4f8e931b24e5397 \ + --hash=sha256:455d538aa1aae4a8b279344a08136d3f16334247907b18a5c3c7fa88ef0d3c46 \ + --hash=sha256:4f9bac020faba7f5dc481e881b14b6425265feabb5bfc552551d21189c0eddc3 \ + --hash=sha256:53c4879b9c6bd7cd25d114ee0ef95420e2812e676314300624594940a8d6a91f \ + --hash=sha256:5757e4688f20df083e233b47de43845d1adb7e17b6cf7da5f8444416fc53828d \ + --hash=sha256:585c9ae13a205807b63bef8a37994f30c917ff800ab8a1ca9c9b5d73024f97ee \ + --hash=sha256:5d07cbca5b99babb692d76d8151bec46f461f8ad8daafbfd96b2fca40cadae65 \ + --hash=sha256:5fc6775529fb9f0ce2266edd3e5d3f10aab068e49f765e11f6f2a63b5367021d \ + --hash=sha256:622afd28968ef3e9786562d352659a37de4481a4070f4ebac883f98c5836563e \ + --hash=sha256:6f9568f380f513a60139971169c4a358b8731509cc19112369902eddb33faa4d \ + --hash=sha256:70a5319ef409e7f88686a46607cbc3c428271069d8b770076feaf913664a07ac \ + --hash=sha256:74707624b81f1b7f2b93f5619d4a9f00934d5948005a03f2c1845ffbfff42212 \ + --hash=sha256:7c4fa560ebd4522adddb71dcd25d09bf211b5634003f015a4b815b7647d62ebe \ + --hash=sha256:7de32d0d34b6623bb56ca278f90db081f85fb9c5d327e3c18fd23ac64f465768 \ + --hash=sha256:840b7ac0eff5633e1d053cc9db12fdf56b566e9403b4950b2dc85393d9b88d67 \ + --hash=sha256:840caf38d86aa7014fe37ade5d0d84e23dcfbc798b8078015831996ecbc206a3 \ + --hash=sha256:8651c7299cbd8b4161a36cd6a322fa07d39cd23535b144d02f1c1972d0c62f3c \ + --hash=sha256:868ad1b6fc41209ab6bd12f63923e8baeb1a086814cb2e81a65ed3d497e0cf8f \ + --hash=sha256:88887f69f7a00cf02b954cdc3034ffb383b2303bc0ab481d4716e2da51ddc10e \ + --hash=sha256:89f9f17b0dacb913ed87d57afbc8aad85ea42c1085bd5de2f20d83d13e9fc4b2 \ + --hash=sha256:8c496c5401c1b9c46d41a7688e8ff5b0310a3b9bae31ce0f0ae870e1ea2b8caf \ + --hash=sha256:8cf18888606dad030455d18f6c381720e57fc6a4170ee1966adb7ebc98d4d6a3 \ + --hash=sha256:8d22c1a10dff3f64d0d68abb8298a3fd88ccff79f408a3e15b3e7f637ef5c980 \ + --hash=sha256:90964917f5b0fa0fa07e9a051fbef100250c04d150b7026ccbf87a34a54012e0 \ + --hash=sha256:9bfb92f82574d9e58401d79c70c716985dc049b635fef6eecbb024c79b2c46ad \ + --hash=sha256:9c6ad011c1b4e3acff058d6b090f1da8e55a332fbf84695cf3100c649cc452d1 \ + --hash=sha256:a11c374eb63a9c16c5ed146457241182f310902bd2a9c18255781bb832b6748b \ + --hash=sha256:a7cef55929dcbef24af3eb40bedec35d82c3c2fa46338bb13ecf3c5720af8a61 \ + --hash=sha256:a844cdb5d7cbc22f5f16c7e2a0271170750763c4db08381b7f696dbd2c78a361 \ + --hash=sha256:ae7613a119a71a497d012ccc83775c308b9c1dab454806291427f84397d852fd \ + --hash=sha256:b1648568667f820b8c48317c7006221dc40aced1869908c187f493838a1362bc \ + --hash=sha256:b1e31be7945f66be23f4ec1682bb47faa3df34cb89fc68527de6554d3c4258a4 \ + --hash=sha256:b277482120df46e27a58082df06a15aebda4481e30a1c21eefd0921ae7e03f65 \ + --hash=sha256:b7ffba80aa49bd09195145a7fd233a7781173b422eeb995096f2b30591639517 \ + --hash=sha256:b852e47eb08475c2c1bd8131207b405793bfc20d6f45aff893d3baaad449ed14 \ + --hash=sha256:bb4f8c5d0358a31e9a08daeebb68f5e161cdd4018855426d3f0c23bb51087055 \ + --hash=sha256:bbae3b4b9d997971431c346edbfe6e41e98424a097860ee872721e176040a893 \ + --hash=sha256:befdf0167ad626f22f6aac6163477fcefa342224a22f11fdd05abb3995c1783c \ + --hash=sha256:c0acbe31340ab150423347e5b9cc595867d814244ac14218932a5cf1dd38eb39 \ + --hash=sha256:c41e1893d1206aa7054029681778d9a58b3529d4c807002c156d58426c225173 \ + --hash=sha256:c59d51f182c729f47e841510b70b967b0752039f79f1de23bcdd86462a9b09ee \ + --hash=sha256:cd6fff9e56df398abc5866b19a32124815b656613c1c5ec0f9350906fd798aac \ + --hash=sha256:cdd0a3b5da66e7f377474599814dbf5cbf135ff059cc73694de129b58a5e8a2c \ + --hash=sha256:cf476bca34e1340ee3294ef13e2c625833f83d096cfdf69a5342475602004f95 \ + --hash=sha256:d0dd4a1db09db2dba0f94d15addc7e7cd3a7b0d393aa4c7518c39ae7374623c3 \ + --hash=sha256:d1456f814655b224d4bf6e7915c51ce74e389b413be791203092b7ff78c936dd \ + --hash=sha256:d14d30c25897b2bf19b6fb5ff7e26cc40006ad53fd4a88244fdf26517d852dd7 \ + --hash=sha256:d244bcafeb1bc06d47cfee71727e775bca88a8efda77a13e7306aae3813fa7e4 \ + --hash=sha256:d8815b5e1dac85fc534a97fd339e12404db557878c090f90442247e87c8aeaea \ + --hash=sha256:d88b33980222085dd6001ae2cad87c6068e0991d4f5ccf44975d216db3b57376 \ + --hash=sha256:d8c5093206ef4b198600ae484230402af6713dab1bd5b8e231905d754022bec7 \ + --hash=sha256:d9c289f140a9ae4853fc2236a2ffc9a9f2d5eae0cb673167e0f1b8c18c0961ac \ + --hash=sha256:dcf5705cab159ce0130cd56057f5f3425023c407e170bca60b4868048bae64fd \ + --hash=sha256:e011cc162503c19f4b1fd63dfcddf73739c7a243a17dac09b78e57a00983ab35 \ + --hash=sha256:e066e8861eef6387b7c772344d1fe1f9a72800e04ee9a54239d460c400c72aab \ + --hash=sha256:e0b2104df1579d6ba9052c0ae0e3137c9698b2d85b0645507e6fd1813b70931a \ + --hash=sha256:e375d975159ac534c7161269de24ddcd490df2157b55c1a6eeace6cbb56903f0 \ + --hash=sha256:e4119532cd10dba04b423e0f86aecb96cfa5a602238c0aa012f70c3a40c44b50 \ + --hash=sha256:e7dbbde64b6c534548696808a0e01276d28ea5773bc9a2dfb97a88cd3dffe3df \ + --hash=sha256:e9afd5358719f1b2cf425fad638fc3c887997d6782da317096877e5b15b2ce93 \ + --hash=sha256:ec4b52ce9a396260eb9731eb6aea41a7320de22ed73a1042c2230af0212758ce \ + --hash=sha256:edb5698a7bc282089f64c96c477846950358a46ede85a1c040e0230344fdde10 \ + --hash=sha256:ee463219d9ec6c2be1d331ab13a8e0cd50d2f32240a81d498266d77d07b7e71e \ + --hash=sha256:efcc860be094b8d19ac61b452ec635c7acb9afa77beb218b1d7784c6d41fe8ad \ + --hash=sha256:f5e6883af9a68c0028f70a4c19d5a6ab6238a379be36ad300a22318316c00cb0 \ + --hash=sha256:f9650713b2cfa9537a2baf7dd9fee458b24a0aaaa6cafcea8bdd5fb2b8efdc34 \ + --hash=sha256:faefeb3b81bdfb4e5a55b9bbdf3d8d8753f65506e1d67d03f5c851a6c87150e9 \ + --hash=sha256:fb9c65bd82f9ef3ce4970dc19ee86be5f6f93d032159acf35e663c6bea02b237 \ + --hash=sha256:fe746d03ed8d193674a26105e4f0fe6c726f5bb602ffc695b409eaf02f04763d \ + --hash=sha256:fef5d70683643618244a4f5221053567ca3e77c2531e42ad48ae05fae909f542 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # peft + # transformers +scikit-learn==1.3.2 \ + --hash=sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107 \ + --hash=sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161 \ + --hash=sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c \ + --hash=sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d \ + --hash=sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157 \ + --hash=sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a \ + --hash=sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb \ + --hash=sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c \ + --hash=sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a \ + --hash=sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c \ + --hash=sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5 \ + --hash=sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0 \ + --hash=sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b \ + --hash=sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03 \ + --hash=sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66 \ + --hash=sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9 \ + --hash=sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf \ + --hash=sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028 \ + --hash=sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93 \ + --hash=sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05 \ + --hash=sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073 \ + --hash=sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525 \ + --hash=sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e \ + --hash=sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1 \ + --hash=sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0 \ + --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # lm-eval +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # albumentations + # scikit-learn + # statsforecast + # statsmodels + # xgboost +semidbm==0.5.1 \ + --hash=sha256:0dd74b5e9276eb5af186ace8b74165acec0c887e746bdae60340be91b99cffaf \ + --hash=sha256:add3e644dd6afcce83d1752b34ff80fa4e2b37b4ce6bce3289ad19d6f0bcd6ae + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +send2trash==1.8.3 \ + --hash=sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 \ + --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server + # nbclassic + # notebook +sentencepiece==0.1.96 \ + --hash=sha256:1dac8c2ad02b5ebc1179c0a14cbc7d7c6f4fd73d4dd51820626402d0aefc974e \ + --hash=sha256:203443a7bd4295b6a3695787235abe0e77d4c369d7156a6b9a397c540a38bd27 \ + --hash=sha256:26d20d713b3ba1b7a19205336afb1e93a4327c372b2f795e907b8dc2315ac92e \ + --hash=sha256:3028699bdb2fb0230804f3b8a617fe3af22f5c5a56416419b31a7da5e7bf83bc \ + --hash=sha256:335bf84d72112cc91f3c3b691d61802fc963503b7772fd8280d20368048b8f3e \ + --hash=sha256:36e9ff61e7b67c5b7ee96733613622620b4802fc8cf188a4dbc1f355b03dde02 \ + --hash=sha256:384148cead5cdab34a4d74fe1fb6a5a8abaafed25eaa4a7698b49dd9482e4c4e \ + --hash=sha256:3c703e68ea192e45b65c5d5836f6980849d828a18da4189899d7150fad82dc9e \ + --hash=sha256:3e61e0757e49c306fff78ea75d6b75773418fe22214b4a460959203be934e834 \ + --hash=sha256:466e381f0a812da8fda97a9707498cef3210ea8385a3421bcbadcb5384063969 \ + --hash=sha256:48c6d13b3bfff08060c138248e85df60f6fad11135ad7a8fc2ef6005aacca839 \ + --hash=sha256:4997c7ccf2ae462320250314aa5709a88d8a09fa271d073458a07bebf33f8e7c \ + --hash=sha256:5388882bb24d083f6cc8cffc5c435f3694a7772b018e06ea6fd84d1044009efb \ + --hash=sha256:5513298d62fe63dd0862d08a6eb52a9aa3537006f597f2386184e3f95bb88889 \ + --hash=sha256:78e18d9106c36dcca929e18fd2c412378deac661d47fa3ee25defc55eef8a215 \ + --hash=sha256:8179785883b556cd517416cdbda6244745414b00ec83132cfe1d26000971f3ae \ + --hash=sha256:81bb77ba3651114943b2f8f77829cf764137dff06e38f4bf7fa43efea12c7f84 \ + --hash=sha256:89c038da7f827a6e2ca4c73aeb4e4b25b99d981ce47dd61b04d446c8200cba1e \ + --hash=sha256:940a6999c7d3f55e9d7b194fd5e1f41a7dbed26d3519fb95333216292a39599e \ + --hash=sha256:99ea2d9db19e63a2d17d5dc64f9ace83fb9308a735be05a1aaf98eb4b496fba7 \ + --hash=sha256:9bdf097d5bd1d8ce42dfee51f6ff05f5578b96e48c6f6006aa4eff69edfa3639 \ + --hash=sha256:a336575463d75d3aac1f7e32470b8998643ccd9a73786bd726f6b0470520b6b4 \ + --hash=sha256:a697257a2cd7581732d7741a8d32a06927f0311c3d277dbc47fa1043350c9d17 \ + --hash=sha256:a92e1932ee8fd500680ccbe1bf53eb33228f4c9d6524ed6f300bcc80ac359f27 \ + --hash=sha256:aeb090ad462833df03af1debce4ae607a2766ef861f992003ad0c56d074ab805 \ + --hash=sha256:b1c24c1d9405b2148184ff27c062493d5e3be5c144575f95b5a0d7c660a515af \ + --hash=sha256:b77d27f59d515c43b61745b8173fbe7c7b3014b14b3702a75bf1793471e7def6 \ + --hash=sha256:b8b1dd2712f8a7de5b4c8ec912e6c041d25750bf03e1ce325cdba43bae0944ae \ + --hash=sha256:bedf0355117fb4e9b1fc9fc92b4d5ee743a7d468be9f6196e3b94447710ea589 \ + --hash=sha256:cc969e6694fb27fba7cee2953f350804faf03913f25ae1ee713a7b8a1bc08018 \ + --hash=sha256:d45e3f78e746aa161bc9f5a31c6a2839c512101113a4065f4d2e7a3ab8198d8c \ + --hash=sha256:d501713a8396193883aa526f48dc609f5f031a5df1afbafa561cf9ab492ffc76 \ + --hash=sha256:d954d25a8705f972e8bfc1dea5464d7e697dd6f4ade092f1a487387e6d6c829a \ + --hash=sha256:dadccb2e49244b6e64b4527d13ec14d5e094a90b41cf9b963e457e64182f1941 \ + --hash=sha256:e811984b0908c14c56de7d8226fdd494d87a7ccb75af8ac3a07423037aaafc35 \ + --hash=sha256:e88354b61f59dfdeb41023f7be8ae31dc627c2dc2dacbc2de8b2d82a0997135c \ + --hash=sha256:e8ec5bb6777e2060e1499750c50e1b69dca5a0f80f90f2c66656c5f3e5244593 \ + --hash=sha256:e9e9fe8094ca57549d801e9a2017ac5c24108bbf485ea4f8994a72e8e96ee135 \ + --hash=sha256:eba0471ab0bb2e07ed06d91ecf5185d402c83d194155a41d8e2aa547d187712e \ + --hash=sha256:ef59ba19340dc1d002ce5713b911c0ef23c577b08f8ed57998ee3c8e62c5bf6e \ + --hash=sha256:f8c90df663cd9759b2cf8dd29998b63140ac39e51ada2e739dc13bdac0b4f001 \ + --hash=sha256:f8cb24d8d0b2f8b7463815a59183eb81ec1d7a06e3217bed456063f3303eddfb \ + --hash=sha256:fd907a8f744e5337de7fc532dd800c4416b571ea47f8c3c66be10cd1bc67c925 \ + --hash=sha256:ff7d752a7f82d87711ec1a95c2262cb74f98be5b457f0300d81a1aefe5be2a95 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +sentry-sdk==2.10.0 \ + --hash=sha256:545fcc6e36c335faa6d6cda84669b6e17025f31efbf3b2211ec14efe008b75d1 \ + --hash=sha256:87b3d413c87d8e7f816cc9334bff255a83d8b577db2b22042651c30c19c09190 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +shellingham==1.5.4 \ + --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ + --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # typer +simsimd==6.5.3 \ + --hash=sha256:051c6493f07c4ec5938648accd351b16221a5d07633649b6f392e387811900a1 \ + --hash=sha256:05418b8d1b75f34208ff117dbcf3c62cefa3abab1a3958bcce60f43881138777 \ + --hash=sha256:05f64148d59ec5e6caaadcfc77284fa4187f0686cee3095d9dd9c0366b59e077 \ + --hash=sha256:0608c74239d5f9fa9eda9b07479a710d807776c18bb7e0a3a8204dafb513425f \ + --hash=sha256:06aab6b9ff2deb6e0a01621ecb6de4d575e29991a7e90395d69eaeb53c029339 \ + --hash=sha256:098a8b2cf378d4134a0fb783411b49e4d790dba423545f77271657d131697e7e \ + --hash=sha256:0b5deef772dfda824184b59cc87e9e79754c05c1b1ed4e140ec0fe5f0095b152 \ + --hash=sha256:11358046752d72059e425946ac00001704a47869cc0d05b9f750a64720a2a6a9 \ + --hash=sha256:120f1057219b5ebb749e0b25202df24b96a35b4d719b0c311c632a9d45ffe637 \ + --hash=sha256:123adaad09d96ab41763456cb9a61e2660bd28ddf3d46dabb9aacdff06e504f2 \ + --hash=sha256:17472f64eb0f7e0ee56c7865134b37f1dfb102bba6b9b92ac2c8ead8edf3dd0e \ + --hash=sha256:186c377c72396e176b520442f81ee3cf7969f72706a02ecc9cbe48220cf2eeca \ + --hash=sha256:1b3e1bb1b91d8771ad905e90b4f06a6a7468fcd1fa8626e297816b349d6b6182 \ + --hash=sha256:1cdcc253fdb9179b9273e4771c333b5d9adf99f911de0d8197a6ee5962bd9f86 \ + --hash=sha256:22cfae73fb5c5220c4f3f1bfddde681cce7259b7e90e73a77225025a62511094 \ + --hash=sha256:24126bb1819b5687f208c8e4d549029019387377e74eb1699ac1346b358997b6 \ + --hash=sha256:26c9920fe1bd3a1d15a24167e2d8777bed32b21b48868d0c785c1a821575bc56 \ + --hash=sha256:27a0524914090178628aef71eb8630c2ab36a2e95b2a5befa4af2c8f8fb9295c \ + --hash=sha256:2bb463ebf97d95bfb192ede0c6e16e3db2d2a5876a74a8d593b62cecb3195765 \ + --hash=sha256:2bd844a68ea1cbe8905a80b724648613e61addf236a635339ea06dee0bae73c2 \ + --hash=sha256:3096d9bb2685b82b4354a58f94153ac22082c58e1a0771c68ad07d44a3e4567f \ + --hash=sha256:3243071067837686a82fb6f34bc5fe95f3b67fd8e7afb6b076e2f4385e598ecd \ + --hash=sha256:32a8bd20f9a830bc71ed0b8614b712b814df8f46f303895e71c2b2f788621cdb \ + --hash=sha256:32b3e75ea04e9b8f5d5c2f6c94162b47dbecfb1c2c64c34ed98fb7e0f996639a \ + --hash=sha256:33b64b748feb6a3f64bff8e885daf5dcc9b42678f024827e43b448aa914eefe7 \ + --hash=sha256:3606bd2d5c8f5bce7b514363ac92ed7ee32ee566c121d6ae0d1640f1ce618a34 \ + --hash=sha256:3738cdfd9839981c774954530df78114e3e2335e3ac121193699e712e1ea2eac \ + --hash=sha256:37cdecd13b594afa74e22be386eb6e144d2af2bb599acc018e398d8e97ae826a \ + --hash=sha256:40124270fc81bef824cb2f4d0daca33bc6a7a6ca1aae17a80ba65ffee0997273 \ + --hash=sha256:406e4dd564e6b5e5dccab00d40950778a8684c65be3ef364b5f5e15a92df6770 \ + --hash=sha256:44afa2e54093e4200ca2dbda907f16690e0e789bc9fd89637afeb741d2845388 \ + --hash=sha256:4561a39c7957cd9f4c1ddf8c9e663de380e4d168527c8b929330e4eca5a69803 \ + --hash=sha256:46333c4d2f13f0d45f0407057b026068fdc66f383acf9936f8e02842d618b679 \ + --hash=sha256:46997e10a8ee726f30e485c8670a7eae517a6d2a4cc5d4dd775e29c5afe2c192 \ + --hash=sha256:473fe6797cfdfc2f900abe51d8faa575743e6a051a5d3c8bf07eb64d8da20051 \ + --hash=sha256:4f1f20ee42d2aa57bb6cfb03c3d17c5c68cde987a71e3d421240aff159c004e8 \ + --hash=sha256:52495c13e8547c259a6da1ab5cbc95cb0ac4d2ca4ae33434b9514b64f39a122c \ + --hash=sha256:56f3547e569d42c9335e41eb03508558e4398efed34783c5ad9810d6dc1b4879 \ + --hash=sha256:5b706b2014cdf672e597e5de99a07d25bd896c04234fcdafaf26094316c99ba7 \ + --hash=sha256:5c8cb2a868937775fe9bd4fabc05d05c59027badf39f4a6b5a20f60503146d1c \ + --hash=sha256:5da3b88033315d654ac71feb68296fc0597d968ead995d8a53c24e31552a5344 \ + --hash=sha256:5e58bda40d247bf01b2cd50b841ab3376ec12ce022b8ed626b717f45b08eacd8 \ + --hash=sha256:5ff341e84fe1c46e7268ee9e31f885936b29c38ce59f423433aef5f4bb5bfd18 \ + --hash=sha256:66db6e5088395dcd44667239e5c0c35a686f6e30461a32d3d1e2bf821e158dcd \ + --hash=sha256:6814a3a0297c421b8fce529b53ef7fb1a07caf09d351bf83f9c540cb14e27cac \ + --hash=sha256:68754e56b9ca813b0fc73ea7ca04c303a36f3100811347009182646efaea4872 \ + --hash=sha256:68b1924f60143ef5cf40ae38d75330e5b3c4e9953c878c1a60e913004c38d7d8 \ + --hash=sha256:697b2cc147cecc8e9107a51877aec6078412c970cc780699d387f6450cb80392 \ + --hash=sha256:6ac439ba9fc08dce8bc8cb8dcf78ddd933f74a59aa9037bb5e7d5c1c6254cf28 \ + --hash=sha256:6b4edfbad104b202675733bc711721da7c9063c256c635c2b2441acd79db5238 \ + --hash=sha256:6caf836a4b8bf4eda3c69db00bf7adc07207a6fec5336f0ef89085760d20e166 \ + --hash=sha256:6e6a0bd069e02bb1f2f88f53a0abfbcf8040d2764668569e519a3360b9303858 \ + --hash=sha256:6fa112ffde73c299afee40e27299f68b99008adbebfefc05e70f2d229d8696bf \ + --hash=sha256:7142baddb9e8579b1e9f741b33ea79fa1914dc364017e10d8a563ff55759b19f \ + --hash=sha256:71da07aef015a7995162d746d4ae879771eb4b4d1df11a27a7dae2c7d577ed8d \ + --hash=sha256:769696d4ca5de461275fe75c82d255ec4e5ffab502cf1e6b8d641508327e2f01 \ + --hash=sha256:7a841727f9de8976bc5d4d4743b7c2d1e2a3aac255ceb6445a936696f1ad6001 \ + --hash=sha256:7f1545fc97fa32b2af081bbc9841d86025c4f6a623fc084d6dc7af6c138b1fa1 \ + --hash=sha256:7fffcc58aeff47a02890438581dcb95c279c85f366db8118681bf24fc78bcff8 \ + --hash=sha256:85896caa9b8dce370f5f1dee0f0469514351638ceb75796290413562c28ffe32 \ + --hash=sha256:85fdda2e9bdf31440207cc2696991a6a163dcff329b0814f446fcbf1c54320d4 \ + --hash=sha256:884a55249294e9293c7a67930d3d06e3c99e22de1696104691af524e55c02649 \ + --hash=sha256:8b1c26dd73960c9789e8e0f90750a2ede4e64120ad96b5f9ec46ef9e1f2039ac \ + --hash=sha256:90f15af7dab040ea9c970eeadc8da6c3a62149f1fd213946ec2d41fc341e505d \ + --hash=sha256:94a989ec638e4ebe33c6aacd31fec8586480017909e7c5016c91005d52512cad \ + --hash=sha256:94da56a777e40f511460c3261632f1bb50c253f7e8f9253c081193e59dad6dda \ + --hash=sha256:98af777ea1b227d42efdcb42fa5a667aa30c324665ec35425fcaa31152e4ccad \ + --hash=sha256:9bd8cb1eeb0982363037202d76305fd6df88d86f02ca38fea10b1c69716d6cec \ + --hash=sha256:9d0bc9132bf2bb887246c784bf6a6c0b37a96af0d4aec7cc728e9b1274868bdb \ + --hash=sha256:a4f4d711eb19278852f64f74b55fbf7a265b9993761f7d80e5ebadbd548bdbaa \ + --hash=sha256:aa180116a50310dc5424df07b76dec8f745bd70024b0406816710b9f9a46ae46 \ + --hash=sha256:aebeb084101ac880ad2962e1bef3c034a5eeec63ec256bdc2ec6dced9cc1659b \ + --hash=sha256:af2739d5873263d3ad9f843e62c92d990ae65f759767f1d0060fffb580602d4f \ + --hash=sha256:b341f0ff17b9c34666d16047a9a031ff79ed558395af6923181dcc435c9b12eb \ + --hash=sha256:b62691ef929b64118f7d22af793a9efed267e37633aaede4363a71b6378dc7e8 \ + --hash=sha256:b62c00b485aa59d33f1eb5749735223df11846a48273f2a4a536b3c7004053e3 \ + --hash=sha256:bc5c20c8b46e7f5fa3922c8b0bfe7032c38cb3c4a953a09ed6934de791bf42ba \ + --hash=sha256:bc663837f228b69a8ac6e6c81660970827cf9ef389c1feef2b73d9d637a007d4 \ + --hash=sha256:bd0267b61c3128282b52388ce1390d95c8beab219da1b95d7aaadab9a18bf42b \ + --hash=sha256:be0f4921c370f715995789eb780315b0456d0b9937209caab0343b98bda5b668 \ + --hash=sha256:bf43cc7bf0b0284fd02103300319dc0f29bf46eaa93dfb2478351e3087551920 \ + --hash=sha256:c827f13caf47cc255dea3455e4f68da9930c396e77ac6f116ab82ecab5d9b1e4 \ + --hash=sha256:c954adf533036dc2131fa131557317bc874f54891e7b681d0af6dba18dffa82e \ + --hash=sha256:c9aba7081452e66db9c484778c969c294006b9aebf59143344e559c3a7254e65 \ + --hash=sha256:cab8670c7ed2754a6a5f3d2d568a43141c6494092fcc1693efecd20cefb51f61 \ + --hash=sha256:cc3c217c9912942644db64074a7745d7470273f69acc962f36ef584e88010087 \ + --hash=sha256:cc84a7398a6c0f2b12d0d7196a7767e9eddbcf03d0bad8aa8acde159587c522b \ + --hash=sha256:d92265fe85f69cb8bf1516e883f552005f7e4b8abe1391f8322c95471872fe02 \ + --hash=sha256:de7ebf4918e94e1122e261778fac9a7397cceffc8fd8e3381301306a297f9678 \ + --hash=sha256:df7606ec531e517226e0d95b82d10ca76601541091f1b7a3fea7496736e8defb \ + --hash=sha256:e94a47db1e1e18c98ead6671827662bc9a181e672573693fc281b3b2169a2e4d \ + --hash=sha256:e9df2ddf2cf314d557f10a6ff4eebaee98b3fab986cc9bf360ff48d84d2a1f8b \ + --hash=sha256:ea50a7c00b1b32100372504970118a343f57421f7ed9c0db4a362fb74d28ab7e \ + --hash=sha256:ee19ed3b2098104c0d7f7f5d92c4b2caa1ab3cbe1a7c345bec75a21d33dc37a2 \ + --hash=sha256:f04d9445e6ed2c1d3a062cd03d71aa21d2e26895d661c9eb81aa3b4c13359557 \ + --hash=sha256:f297be532613627271e1872d1e490e1d02a2df4e54603598e85e4cbc5cd4af38 \ + --hash=sha256:f2eb6dfaadd6777d86e6b5f3c2e53e2f55e4fcd4dd3fb36ed7a7dd5de6bb0bb4 \ + --hash=sha256:f9dabbe49ab3ee124758dde4d52ffa668cad07a31c9f84d7d5fd906439987115 + # via albucore +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale + # asttokens + # azure-core + # bleach + # docker-pycreds + # fs + # gcs-oauth2-boto-plugin + # google-apitools + # google-oauth + # gsutil + # isodate + # oauth2client + # patsy + # petastorm + # python-dateutil + # pyu2f + # rfc3339-validator + # rouge-score + # triad + # trueskill +smart-open==6.2.0 \ + --hash=sha256:088bf00f9327c71e549bc2f86567d3320df5d89667f009ce1c16568976068ef7 \ + --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r docker/base-deps/requirements.in + # anyscale +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyio +soupsieve==2.5 \ + --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ + --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # beautifulsoup4 +spinners==0.0.24 \ + --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ + --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +sqlglot==25.6.1 \ + --hash=sha256:c1fcbaa00429979f16fb8cea20279a8b3f5312e76d97abb8f8c6a9b21be450d7 \ + --hash=sha256:ea40f3bf8452e2c1a696fe120163190bd67e49b346336e7db6d34400b57b7601 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +sqlitedict==2.1.0 \ + --hash=sha256:03d9cfb96d602996f1d4c2db2856f1224b96a9c431bdd16e78032a72940f9e8c + # via lm-eval +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # fastapi +statsforecast==1.7.0 \ + --hash=sha256:0a4aae77988c23db25703eafacecb88a6fc981496be886e24c6144fab2310a0e \ + --hash=sha256:ac63de8095242eb0f362045a232174666f0fa24a43ee8c3d3cc0bb61f15b7316 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +statsmodels==0.14.0 \ + --hash=sha256:0eea4a0b761aebf0c355b726ac5616b9a8b618bd6e81a96b9f998a61f4fd7484 \ + --hash=sha256:0ef7fa4813c7a73b0d8a0c830250f021c102c71c95e9fe0d6877bcfb56d38b8c \ + --hash=sha256:16bfe0c96a53b20fa19067e3b6bd2f1d39e30d4891ea0d7bc20734a0ae95942d \ + --hash=sha256:1c7724ad573af26139a98393ae64bc318d1b19762b13442d96c7a3e793f495c3 \ + --hash=sha256:229b2f676b4a45cb62d132a105c9c06ca8a09ffba060abe34935391eb5d9ba87 \ + --hash=sha256:3757542c95247e4ab025291a740efa5da91dc11a05990c033d40fce31c450dc9 \ + --hash=sha256:3b0a135f3bfdeec987e36e3b3b4c53e0bb87a8d91464d2fcc4d169d176f46fdb \ + --hash=sha256:4c815ce7a699047727c65a7c179bff4031cff9ae90c78ca730cfd5200eb025dd \ + --hash=sha256:575f61337c8e406ae5fa074d34bc6eb77b5a57c544b2d4ee9bc3da6a0a084cf1 \ + --hash=sha256:582f9e41092e342aaa04920d17cc3f97240e3ee198672f194719b5a3d08657d6 \ + --hash=sha256:5a6a0a1a06ff79be8aa89c8494b33903442859add133f0dda1daf37c3c71682e \ + --hash=sha256:6875c7d689e966d948f15eb816ab5616f4928706b180cf470fd5907ab6f647a4 \ + --hash=sha256:68b1c768dd94cc5ba8398121a632b673c625491aa7ed627b82cb4c880a25563f \ + --hash=sha256:6f7d762df4e04d1dde8127d07e91aff230eae643aa7078543e60e83e7d5b40db \ + --hash=sha256:71054f9dbcead56def14e3c9db6f66f943110fdfb19713caf0eb0f08c1ec03fd \ + --hash=sha256:76e290f4718177bffa8823a780f3b882d56dd64ad1c18cfb4bc8b5558f3f5757 \ + --hash=sha256:77b3cd3a5268ef966a0a08582c591bd29c09c88b4566c892a7c087935234f285 \ + --hash=sha256:7ebe885ccaa64b4bc5ad49ac781c246e7a594b491f08ab4cfd5aa456c363a6f6 \ + --hash=sha256:8be53cdeb82f49c4cb0fda6d7eeeb2d67dbd50179b3e1033510e061863720d93 \ + --hash=sha256:8d1e3e10dfbfcd58119ba5a4d3c7d519182b970a2aebaf0b6f539f55ae16058d \ + --hash=sha256:9c64ebe9cf376cba0c31aed138e15ed179a1d128612dd241cdf299d159e5e882 \ + --hash=sha256:a6ad7b8aadccd4e4dd7f315a07bef1bca41d194eeaf4ec600d20dea02d242fce \ + --hash=sha256:afe80544ef46730ea1b11cc655da27038bbaa7159dc5af4bc35bbc32982262f2 \ + --hash=sha256:b587ee5d23369a0e881da6e37f78371dce4238cf7638a455db4b633a1a1c62d6 \ + --hash=sha256:ce28eb1c397dba437ec39b9ab18f2101806f388c7a0cf9cdfd8f09294ad1c799 \ + --hash=sha256:d7fda067837df94e0a614d93d3a38fb6868958d37f7f50afe2a534524f2660cb \ + --hash=sha256:de489e3ed315bdba55c9d1554a2e89faa65d212e365ab81bc323fa52681fc60e \ + --hash=sha256:fb471f757fc45102a87e5d86e87dc2c8c78b34ad4f203679a46520f1d863b9da \ + --hash=sha256:fc2c7931008a911e3060c77ea8933f63f7367c0f3af04f82db3a04808ad2cd2c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +stringzilla==4.0.11 \ + --hash=sha256:04061e74c51d8ae91a3b57b7c8aa08980b67eb43c18c71d5771c287df8a163df \ + --hash=sha256:083a1e743583ca13cd153427e78db8b6cfaf5eaa35d0ea223b8edf5ba8a2d1e0 \ + --hash=sha256:0c36a0a560e28f6cce2054f655b0adf03957b8fa7498fb501123d6c994b6e6bb \ + --hash=sha256:0c396f063083308b387eb3a7529d7e9d803754fb956e5bd0cb0266e107bf5f3d \ + --hash=sha256:22ca3f0e5bd3e6d670a76fd43b66c8621b1957b56de25c15ca4326d62d70620c \ + --hash=sha256:23433102295bd259ec246311706b5372fd443473ff785bb3ca6648126bc2d887 \ + --hash=sha256:24dd06d09cac35611f3786b41282bab71143702b882eedf1e6440b0cc4bbf146 \ + --hash=sha256:2b999fb50476d79bc963ff69aa83d73a648f5fe2303ad69f3c9cf185318da339 \ + --hash=sha256:2d007f559545b736c39f30bbbe76ed55f5299d4310f1b8bfa7d77bd6ad26dcda \ + --hash=sha256:2dd0646e7d6386f1e19b90912ccc414b0f689f647974e1ba58053e572a78798e \ + --hash=sha256:33ec5c4f47880cd99f4cd5427c5f7df105323cfc65a08e0bc78ab06ed61e6fee \ + --hash=sha256:35a04718bc6f98b2aee1f3e0a146ebbebe54e2177945e318035e4c7ef8f9e7f3 \ + --hash=sha256:36ed569c8654a7db00e2fade010e85be6bcc39e429acfe074be55d109034291c \ + --hash=sha256:3925a3fd4b3480f034bcb234e6c80ac231b2b35b098c054b74e9589bdf7727f4 \ + --hash=sha256:40c1ba41654d250ac244846fe7567f6433c95449e0e8876cbc81ce7b2f673774 \ + --hash=sha256:42f2167731b183f5952f6914cb228ca0567ea9c8dca9698ac17df148f7f919e9 \ + --hash=sha256:444b742dcdb68a58851a5d12892ca8650dbe52cc2e2fea4ea679583c03f86a82 \ + --hash=sha256:47618562af8925345944e79ba4ff969fe42a4cfc634eca3c59af14bd1c37cdb1 \ + --hash=sha256:47fa50681aaa95f33e16b7b871588ca30a130a71832cf188479d6ffe748785ea \ + --hash=sha256:4ea181a5dd6cbb544cb723a54ea9effb4a2cdfcda593f0e9a33cf744e85cc188 \ + --hash=sha256:53d499f3508ef6e798702486c7cee8edd7dd00a404d0bf008bbad4bc246b24ea \ + --hash=sha256:5728306927e866c37515f88989c45f13a089ed61ca454634c2cfe4905318ef64 \ + --hash=sha256:593dbc114073406a9e4d0802c5308adcefb4aa6a5cc781d2b23122e401d85d8c \ + --hash=sha256:5b7fb6eb21b5acd89a453b39f986d8ddc1a239e08efb29c9dfd0ef7a044f0b56 \ + --hash=sha256:5c037e54153050ab038365adb0ba2c4561f24a3924e02e2a64319177f7c32511 \ + --hash=sha256:5c2d5489ba33bd74f685aea65b77fd4eb656ed89140bcc415f38842c7209f0d9 \ + --hash=sha256:60df803ccf7b37c6e285ffe19d7f9381dd69e0039024fc36decf9867c117c373 \ + --hash=sha256:62230c817a23fecf39db733638da20bd949a9a157060f83de154659fb944c477 \ + --hash=sha256:661a08b314361b9f3f367696f62aa2acf55373e096d77ba2e48db674d716a1d0 \ + --hash=sha256:6625059335cc408009394782e6375ff6def09d6338f1b5495e8896a3042b7a3a \ + --hash=sha256:699226dbfb4a46b0ec7c59058068694e5b11d09198b9f27a045b097319eb2787 \ + --hash=sha256:6a760d7175b28d310360a2e6e6fcaab0bd8b9fb1190e4e138c45e6e2192936fa \ + --hash=sha256:6bdd9c4c311d6e1e4da7cdd3dbe4622a27de228d0470026a713eaabcc9d8aeef \ + --hash=sha256:739bbde529a637620bd713c306cdfad02e37dc03aad2035388c6582d760c11c4 \ + --hash=sha256:7644829d3af080fd5c2f53d75b86f0905d7607f6b92637af2f56b1a1716ac420 \ + --hash=sha256:7cf578d2d4042d18a89de69adfc76d2d1569b9b22cdff7adaaf1a7dbd353aaec \ + --hash=sha256:7e02c582670c7036a466fae7a3b5f40bece372614282839a2b3a0e5447e7d45c \ + --hash=sha256:7e1a9aaf613fc6e5dc968e6d84da7cd5defa252c986a5bf0d6e8e3ec815d9728 \ + --hash=sha256:7fe51c441f61ba592b579fa4a13ba99d48c58a5022f240990ebb28460ff732ac \ + --hash=sha256:826f698a4c712d36fac574b7a19481944d98520e266472250b618857d1470583 \ + --hash=sha256:87e2fbce8b8e1199f8586da7abe92c0fa94727dd0e18bd937a110fa516042435 \ + --hash=sha256:88958f28cd397bc8495c779d7192da4ec372d5633752f3c5ad08c152a92ec4ff \ + --hash=sha256:8a9cca8d770f98a67252aecde57585b135d9cc54f36c636efa4d2ed19d3181f1 \ + --hash=sha256:8c27117dd99b347b10c3a8ddbf4ca3074f24a130607f1628ed5c34279855e59b \ + --hash=sha256:8f75ae1694982a1604a56bb76c9802c8a4d6415a138957e846d3bd93e8e1c228 \ + --hash=sha256:91243a3df970fc5c3d5951e6368928eba907c6e97655f3c372904463194a0108 \ + --hash=sha256:94547bafbb311ef5a391fbbd56ec741cb6a1deaa8e2d186b4c112996d3683b5b \ + --hash=sha256:9d9fafa4d19770c94de0ce5dd8f3f5a1940734077bad9a94e566276a9e577b2b \ + --hash=sha256:a38c1fd6db515ddea1044736ecad302c5c8b00ff2a8f59ea47d1aff57699d27a \ + --hash=sha256:a3ae71432039b452955916ff1d580b1b6cbc874d6ec12a900e0401968b53851b \ + --hash=sha256:a53b08e4d4d91176d94d220d0f15947fc9bc327a568378924f637cfe8b5d1ec9 \ + --hash=sha256:a73d649112144575b5a9d7ee8aba86838c1923d3e546aa9cc01dface35ec2c79 \ + --hash=sha256:b0cfa166a2cd2152258aa75d55c9072590bd9450f755b7da210a839ec7bbce69 \ + --hash=sha256:b73f935b1be1dc93c7761b4b7b008a3c593a9e40ceb3471dbdffa72ecb205b2f \ + --hash=sha256:baa6d508e71d0b513a29b7aa061e9308ae4a1bbff7637db5be5b9f4bcfbe9daa \ + --hash=sha256:bdf54dd452bbd22bcfb64177313b7450221743e228b058cb82eb2464dcbad036 \ + --hash=sha256:bed307390369a52e392e7d7369973613ff04cc52795e30c0a22283bbabbc60d9 \ + --hash=sha256:c3005d611086e370e60ecc6231c94765fe2b69015f2807674f96a1bad9e8abae \ + --hash=sha256:c3f9a27e5a8fee3f7bb4a0ab9a6e5ae3f10606ed59b717b70458708ba10621ca \ + --hash=sha256:c6ebc585254650a7979defa74f6513a5cf57c4fcd093e658a97c35a83e209e90 \ + --hash=sha256:c7f91d1a8d9c8f4444519bd383b2f6176eb0bf10ee46fc30cf3f9ffb34af15ef \ + --hash=sha256:d042c6e1fb68b3868a78412036f6007ce4fc4d6fc8305d12db3b259f02b87ebd \ + --hash=sha256:d2bb0c80c7948fdd176370fde9de946582ee25539024fe03bd59f3e732d1308b \ + --hash=sha256:d3f106393b314e2dcabed309daef534b8990bef88e0ecb1b39e682e75bcf1018 \ + --hash=sha256:d81c03ea744b8591491ed888efc8483d4a84196bd0019f8d54a7f02bbd46782c \ + --hash=sha256:d97c18501ed4be54efa4939158d29de97149111220c809838c05e711aedd96da \ + --hash=sha256:da161ae018dbda698453290217ff6cc47e81fd48730c7c918d9ce5eb7ed46a04 \ + --hash=sha256:dd1d77e1d90d9da1134a7fbf877d7ee258246d80e999e18a86601f876eacb19a \ + --hash=sha256:df256451780ac3fdc6ad7673f6c04c4e228380abcb77fc3d289525a4815d50d7 \ + --hash=sha256:e293f8428b5253d6b1fba3afb6695c910dfc8b16723199f621401fd87f3d4d91 \ + --hash=sha256:e44a0d189b423bef6683c106b97154de4f0e3e6110568a47ccd850337e56f48e \ + --hash=sha256:e70cac53fbfc146e5eb8bbaebb149ede0961b61019ffbc470f959033595ceeb4 \ + --hash=sha256:ecd956e2613e86e698e4dc210862c7ef5a7e2c98c9d5d95b6fbfe23469ad71f2 \ + --hash=sha256:f0dd2ae757a0fb2e09ebe653f8465ba9b0506baf5aeb294f2142e25b41683696 \ + --hash=sha256:f31d1fbccf43d40a3ed82317dc144ffc23445d02d76f65b545d7083606980234 \ + --hash=sha256:f34dcfbf0a311bb7228d891b31944dc3762cf930c8b6c99f08397f99cb57ba2d \ + --hash=sha256:f3fbf377d7b832d5115182ea32d3e1290f785d3d1851bcb8178630759ab4e818 \ + --hash=sha256:f5613b5f7654916596a277d2f78da20db1ed3e60bf16ebf0ee5dc344edc2440b \ + --hash=sha256:fa3332f86a76f5bbee117df94beb4234b6904824c9e2127ff03f4b20cd2c462a \ + --hash=sha256:fb14c19f6b6510926bcfbeffeb21f27afc36eded084be29140fcf4bad22846c1 \ + --hash=sha256:ff3f02c39dbcd592fefd4159225e85331811c2a9837afa98ab8f97eb50064f7f + # via albucore +sympy==1.13.1 \ + --hash=sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # torch +tabledata==1.3.4 \ + --hash=sha256:1f56e433bfdeb89f4487abfa48c4603a3b07c5d3a3c7e05ff73dd018c24bd0d4 \ + --hash=sha256:e9649cab129d718f3bff4150083b77f8a78c30f6634a30caf692b10fdc60cb97 + # via pytablewriter +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # sacrebleu +tblib==3.0.0 \ + --hash=sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129 \ + --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +tcolorpy==0.1.7 \ + --hash=sha256:0fbf6bf238890bbc2e32662aa25736769a29bf6d880328f310c910a327632614 \ + --hash=sha256:26a59d52027e175a37e0aba72efc99dda43f074db71f55b316d3de37d3251378 + # via pytablewriter +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # pytorch-lightning +termcolor==2.4.0 \ + --hash=sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63 \ + --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +terminado==0.18.1 \ + --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ + --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # jupyter-server + # jupyter-server-terminals + # nbclassic + # notebook +threadpoolctl==3.1.0 \ + --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \ + --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # scikit-learn +tiktoken==0.11.0 \ + --hash=sha256:10331d08b5ecf7a780b4fe4d0281328b23ab22cdb4ff65e68d56caeda9940ecc \ + --hash=sha256:13220f12c9e82e399377e768640ddfe28bea962739cc3a869cad98f42c419a89 \ + --hash=sha256:195d84bec46169af3b1349a1495c151d37a0ff4cba73fd08282736be7f92cc6c \ + --hash=sha256:20b977989afe44c94bcc50db1f76971bb26dca44218bd203ba95925ef56f8e7a \ + --hash=sha256:2130127471e293d385179c1f3f9cd445070c0772be73cdafb7cec9a3684c0458 \ + --hash=sha256:2177ffda31dec4023356a441793fed82f7af5291120751dee4d696414f54db0c \ + --hash=sha256:21e43022bf2c33f733ea9b54f6a3f6b4354b909f5a73388fb1b9347ca54a069c \ + --hash=sha256:2302772f035dceb2bcf8e55a735e4604a0b51a6dd50f38218ff664d46ec43807 \ + --hash=sha256:25a512ff25dc6c85b58f5dd4f3d8c674dc05f96b02d66cdacf628d26a4e4866b \ + --hash=sha256:3c518641aee1c52247c2b97e74d8d07d780092af79d5911a6ab5e79359d9b06a \ + --hash=sha256:45927a71ab6643dfd3ef57d515a5db3d199137adf551f66453be098502838b0f \ + --hash=sha256:4ae374c46afadad0f501046db3da1b36cd4dfbfa52af23c998773682446097cf \ + --hash=sha256:5a0517634d67a8a48fd4a4ad73930c3022629a85a217d256a6e9b8b47439d1e4 \ + --hash=sha256:61f1d15822e4404953d499fd1dcc62817a12ae9fb1e4898033ec8fe3915fdf8e \ + --hash=sha256:669a1aa1ad6ebf1b3c26b45deb346f345da7680f845b5ea700bba45c20dea24c \ + --hash=sha256:6a76d53cee2da71ee2731c9caa747398762bda19d7f92665e882fef229cb0b5b \ + --hash=sha256:6ef72aab3ea240646e642413cb363b73869fed4e604dcfd69eec63dc54d603e8 \ + --hash=sha256:7dc6e9ad16a2a75b4c4be7208055a1f707c9510541d94d9cc31f7fbdc8db41d8 \ + --hash=sha256:7f2db627f5c74477c0404b4089fd8a28ae22fa982a6f7d9c7d4c305c375218f3 \ + --hash=sha256:7f929255c705efec7a28bf515e29dc74220b2f07544a8c81b8d69e8efc4578bd \ + --hash=sha256:7fb4effe60574675118b73c6fbfd3b5868e5d7a1f570d6cc0d18724b09ecf318 \ + --hash=sha256:8a9b517d6331d7103f8bef29ef93b3cca95fa766e293147fe7bacddf310d5917 \ + --hash=sha256:94f984c9831fd32688aef4348803b0905d4ae9c432303087bae370dc1381a2b8 \ + --hash=sha256:a5f3f25ffb152ee7fec78e90a5e5ea5b03b4ea240beed03305615847f7a6ace2 \ + --hash=sha256:adb4e308eb64380dc70fa30493e21c93475eaa11669dea313b6bbf8210bfd013 \ + --hash=sha256:b062c82300341dc87e0258c69f79bed725f87e753c21887aea90d272816be882 \ + --hash=sha256:b4ddb1849e6bf0afa6cc1c5d809fb980ca240a5fffe585a04e119519758788c0 \ + --hash=sha256:e363f33c720a055586f730c00e330df4c7ea0024bf1c83a8a9a9dbc054c4f304 \ + --hash=sha256:ece6b76bfeeb61a125c44bbefdfccc279b5288e6007fbedc0d32bfec602df2f2 \ + --hash=sha256:fd9e6b23e860973cf9526544e220b223c60badf5b62e80a33509d6d40e6c8f5d \ + --hash=sha256:fe91581b0ecdd8783ce8cb6e3178f2260a3912e8724d2f2d49552b98714641a1 + # via + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # openai-whisper +tinycss2==1.3.0 \ + --hash=sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d \ + --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # nbconvert +tokenizers==0.15.2 \ + --hash=sha256:0143e7d9dcd811855c1ce1ab9bf5d96d29bf5e528fd6c7824d0465741e8c10fd \ + --hash=sha256:02272fe48280e0293a04245ca5d919b2c94a48b408b55e858feae9618138aeda \ + --hash=sha256:02458bee6f5f3139f1ebbb6d042b283af712c0981f5bc50edf771d6b762d5e4f \ + --hash=sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee \ + --hash=sha256:05a77cbfebe28a61ab5c3891f9939cc24798b63fa236d84e5f29f3a85a200c00 \ + --hash=sha256:064ff87bb6acdbd693666de9a4b692add41308a2c0ec0770d6385737117215f2 \ + --hash=sha256:06cd0487b1cbfabefb2cc52fbd6b1f8d4c37799bd6c6e1641281adaa6b2504a7 \ + --hash=sha256:0774bccc6608eca23eb9d620196687c8b2360624619623cf4ba9dc9bd53e8b51 \ + --hash=sha256:0cf6b7f1d4dc59af960e6ffdc4faffe6460bbfa8dce27a58bf75755ffdb2526d \ + --hash=sha256:0ef06b9707baeb98b316577acb04f4852239d856b93e9ec3a299622f6084e4be \ + --hash=sha256:0ff110ecc57b7aa4a594396525a3451ad70988e517237fe91c540997c4e50e29 \ + --hash=sha256:107089f135b4ae7817affe6264f8c7a5c5b4fd9a90f9439ed495f54fcea56fb4 \ + --hash=sha256:112a1dd436d2cc06e6ffdc0b06d55ac019a35a63afd26475205cb4b1bf0bfbff \ + --hash=sha256:13ca3611de8d9ddfbc4dc39ef54ab1d2d4aaa114ac8727dfdc6a6ec4be017378 \ + --hash=sha256:158be8ea8554e5ed69acc1ce3fbb23a06060bd4bbb09029431ad6b9a466a7121 \ + --hash=sha256:1cf75d32e8d250781940d07f7eece253f2fe9ecdb1dc7ba6e3833fa17b82fcbc \ + --hash=sha256:1ddba9a2b0c8c81633eca0bb2e1aa5b3a15362b1277f1ae64176d0f6eba78ab1 \ + --hash=sha256:20ea60479de6fc7b8ae756b4b097572372d7e4032e2521c1bbf3d90c90a99ff0 \ + --hash=sha256:2277c36d2d6cdb7876c274547921a42425b6810d38354327dd65a8009acf870c \ + --hash=sha256:237d1bf3361cf2e6463e6c140628e6406766e8b27274f5fcc62c747ae3c6f094 \ + --hash=sha256:2735ecbbf37e52db4ea970e539fd2d450d213517b77745114f92867f3fc246eb \ + --hash=sha256:2ef09bbc16519f6c25d0c7fc0c6a33a6f62923e263c9d7cca4e58b8c61572afb \ + --hash=sha256:32e16bdeffa7c4f46bf2152172ca511808b952701d13e7c18833c0b73cb5c23f \ + --hash=sha256:361abdc068e8afe9c5b818769a48624687fb6aaed49636ee39bec4e95e1a215b \ + --hash=sha256:37aaec5a52e959892870a7c47cef80c53797c0db9149d458460f4f31e2fb250e \ + --hash=sha256:3835738be1de66624fff2f4f6f6684775da4e9c00bde053be7564cbf3545cc66 \ + --hash=sha256:38bfb0204ff3246ca4d5e726e8cc8403bfc931090151e6eede54d0e0cf162ef0 \ + --hash=sha256:38d7ab43c6825abfc0b661d95f39c7f8af2449364f01d331f3b51c94dcff7221 \ + --hash=sha256:3b919afe4df7eb6ac7cafd2bd14fb507d3f408db7a68c43117f579c984a73843 \ + --hash=sha256:3ef5dd1d39797044642dbe53eb2bc56435308432e9c7907728da74c69ee2adca \ + --hash=sha256:3f5e64b0389a2be47091d8cc53c87859783b837ea1a06edd9d8e04004df55a5c \ + --hash=sha256:40b6a4c78da863ff26dbd5ad9a8ecc33d8a8d97b535172601cf00aee9d7ce9ce \ + --hash=sha256:41e39b41e5531d6b2122a77532dbea60e171ef87a3820b5a3888daa847df4153 \ + --hash=sha256:44f2a832cd0825295f7179eaf173381dc45230f9227ec4b44378322d900447c9 \ + --hash=sha256:454c203164e07a860dbeb3b1f4a733be52b0edbb4dd2e5bd75023ffa8b49403a \ + --hash=sha256:4620cca5c2817177ee8706f860364cc3a8845bc1e291aaf661fb899e5d1c45b0 \ + --hash=sha256:473c83c5e2359bb81b0b6fde870b41b2764fcdd36d997485e07e72cc3a62264a \ + --hash=sha256:48e2b9335be2bc0171df9281385c2ed06a15f5cf121c44094338306ab7b33f2c \ + --hash=sha256:494fdbe5932d3416de2a85fc2470b797e6f3226c12845cadf054dd906afd0442 \ + --hash=sha256:4b19a808d8799fda23504a5cd31d2f58e6f52f140380082b352f877017d6342b \ + --hash=sha256:4c4b89038a684f40a6b15d6b09f49650ac64d951ad0f2a3ea9169687bbf2a8ba \ + --hash=sha256:4e022fe65e99230b8fd89ebdfea138c24421f91c1a4f4781a8f5016fd5cdfb4d \ + --hash=sha256:4eeb12daf02a59e29f578a865f55d87cd103ce62bd8a3a5874f8fdeaa82e336b \ + --hash=sha256:4fe1f74a902bee74a3b25aff180fbfbf4f8b444ab37c4d496af7afd13a784ed2 \ + --hash=sha256:508711a108684111ec8af89d3a9e9e08755247eda27d0ba5e3c50e9da1600f6d \ + --hash=sha256:5179c271aa5de9c71712e31cb5a79e436ecd0d7532a408fa42a8dbfa4bc23fd9 \ + --hash=sha256:524e60da0135e106b254bd71f0659be9f89d83f006ea9093ce4d1fab498c6d0d \ + --hash=sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012 \ + --hash=sha256:5645938a42d78c4885086767c70923abad047163d809c16da75d6b290cb30bbe \ + --hash=sha256:5ab2a4d21dcf76af60e05af8063138849eb1d6553a0d059f6534357bce8ba364 \ + --hash=sha256:620beacc3373277700d0e27718aa8b25f7b383eb8001fba94ee00aeea1459d89 \ + --hash=sha256:64c35e09e9899b72a76e762f9854e8750213f67567787d45f37ce06daf57ca78 \ + --hash=sha256:64c86e5e068ac8b19204419ed8ca90f9d25db20578f5881e337d203b314f4104 \ + --hash=sha256:67a0fe1e49e60c664915e9fb6b0cb19bac082ab1f309188230e4b2920230edb3 \ + --hash=sha256:6a9b648a58281c4672212fab04e60648fde574877d0139cd4b4f93fe28ca8944 \ + --hash=sha256:6d76f00f5c32da36c61f41c58346a4fa7f0a61be02f4301fd30ad59834977cc3 \ + --hash=sha256:6fc7083ab404019fc9acafe78662c192673c1e696bd598d16dc005bd663a5cf9 \ + --hash=sha256:708bb3e4283177236309e698da5fcd0879ce8fd37457d7c266d16b550bcbbd18 \ + --hash=sha256:7c0d8b52664ab2d4a8d6686eb5effc68b78608a9008f086a122a7b2996befbab \ + --hash=sha256:7c7d18b733be6bbca8a55084027f7be428c947ddf871c500ee603e375013ffba \ + --hash=sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5 \ + --hash=sha256:7ef789f83eb0f9baeb4d09a86cd639c0a5518528f9992f38b28e819df397eb06 \ + --hash=sha256:82f8652a74cc107052328b87ea8b34291c0f55b96d8fb261b3880216a9f9e48e \ + --hash=sha256:865c60ae6eaebdde7da66191ee9b7db52e542ed8ee9d2c653b6d190a9351b980 \ + --hash=sha256:89cd1cb93e4b12ff39bb2d626ad77e35209de9309a71e4d3d4672667b4b256e7 \ + --hash=sha256:8b9ec69247a23747669ec4b0ca10f8e3dfb3545d550258129bd62291aabe8605 \ + --hash=sha256:918fbb0eab96fe08e72a8c2b5461e9cce95585d82a58688e7f01c2bd546c79d0 \ + --hash=sha256:93268e788825f52de4c7bdcb6ebc1fcd4a5442c02e730faa9b6b08f23ead0e24 \ + --hash=sha256:936bf3842db5b2048eaa53dade907b1160f318e7c90c74bfab86f1e47720bdd6 \ + --hash=sha256:968fa1fb3c27398b28a4eca1cbd1e19355c4d3a6007f7398d48826bbe3a0f728 \ + --hash=sha256:9ba9f6895af58487ca4f54e8a664a322f16c26bbb442effd01087eba391a719e \ + --hash=sha256:9c861d35e8286a53e06e9e28d030b5a05bcbf5ac9d7229e561e53c352a85b1fc \ + --hash=sha256:9e0480c452217edd35eca56fafe2029fb4d368b7c0475f8dfa3c5c9c400a7456 \ + --hash=sha256:a308a607ca9de2c64c1b9ba79ec9a403969715a1b8ba5f998a676826f1a7039d \ + --hash=sha256:a33ab881c8fe70474980577e033d0bc9a27b7ab8272896e500708b212995d834 \ + --hash=sha256:a47acfac7e511f6bbfcf2d3fb8c26979c780a91e06fb5b9a43831b2c0153d024 \ + --hash=sha256:a907d76dcfda37023ba203ab4ceeb21bc5683436ebefbd895a0841fd52f6f6f2 \ + --hash=sha256:a9b9b070fdad06e347563b88c278995735292ded1132f8657084989a4c84a6d5 \ + --hash=sha256:b10122d8d8e30afb43bb1fe21a3619f62c3e2574bff2699cf8af8b0b6c5dc4a3 \ + --hash=sha256:b8fcfa81bcb9447df582c5bc96a031e6df4da2a774b8080d4f02c0c16b42be0b \ + --hash=sha256:c1257f4394be0d3b00de8c9e840ca5601d0a4a8438361ce9c2b05c7d25f6057b \ + --hash=sha256:c2d60f5246f4da9373f75ff18d64c69cbf60c3bca597290cea01059c336d2470 \ + --hash=sha256:c73e2e74bbb07910da0d37c326869f34113137b23eadad3fc00856e6b3d9930c \ + --hash=sha256:c9a09cd26cca2e1c349f91aa665309ddb48d71636370749414fbf67bc83c5343 \ + --hash=sha256:c9a2ebdd2ad4ec7a68e7615086e633857c85e2f18025bd05d2a4399e6c5f7169 \ + --hash=sha256:cc90102ed17271cf0a1262babe5939e0134b3890345d11a19c3145184b706055 \ + --hash=sha256:ccd73a82751c523b3fc31ff8194702e4af4db21dc20e55b30ecc2079c5d43cb7 \ + --hash=sha256:ccec77aa7150e38eec6878a493bf8c263ff1fa8a62404e16c6203c64c1f16a26 \ + --hash=sha256:cf27fd43472e07b57cf420eee1e814549203d56de00b5af8659cb99885472f1f \ + --hash=sha256:cf7fd9a5141634fa3aa8d6b7be362e6ae1b4cda60da81388fa533e0b552c98fd \ + --hash=sha256:cfed5c64e5be23d7ee0f0e98081a25c2a46b0b77ce99a4f0605b1ec43dd481fa \ + --hash=sha256:d0222c5b7c9b26c0b4822a82f6a7011de0a9d3060e1da176f66274b70f846b98 \ + --hash=sha256:d05a1b06f986d41aed5f2de464c003004b2df8aaf66f2b7628254bcbfb72a438 \ + --hash=sha256:d44ba80988ff9424e33e0a49445072ac7029d8c0e1601ad25a0ca5f41ed0c1d6 \ + --hash=sha256:d857be2df69763362ac699f8b251a8cd3fac9d21893de129bc788f8baaef2693 \ + --hash=sha256:d88b96ff0fe8e91f6ef01ba50b0d71db5017fa4e3b1d99681cec89a85faf7bf7 \ + --hash=sha256:daa348f02d15160cb35439098ac96e3a53bacf35885072611cd9e5be7d333daa \ + --hash=sha256:db35825f6d54215f6b6009a7ff3eedee0848c99a6271c870d2826fbbedf31a38 \ + --hash=sha256:dc3ad9ebc76eabe8b1d7c04d38be884b8f9d60c0cdc09b0aa4e3bcf746de0388 \ + --hash=sha256:dce74266919b892f82b1b86025a613956ea0ea62a4843d4c4237be2c5498ed3a \ + --hash=sha256:de19c4dc503c612847edf833c82e9f73cd79926a384af9d801dcf93f110cea4e \ + --hash=sha256:e2ea752f2b0fe96eb6e2f3adbbf4d72aaa1272079b0dfa1145507bd6a5d537e6 \ + --hash=sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91 \ + --hash=sha256:ea09acd2fe3324174063d61ad620dec3bcf042b495515f27f638270a7d466e8b \ + --hash=sha256:ea621a7eef4b70e1f7a4e84dd989ae3f0eeb50fc8690254eacc08acb623e82f1 \ + --hash=sha256:f1b3b31884dc8e9b21508bb76da80ebf7308fdb947a17affce815665d5c4d028 \ + --hash=sha256:f33dfbdec3784093a9aebb3680d1f91336c56d86cc70ddf88708251da1fe9064 \ + --hash=sha256:f3f40604f5042ff210ba82743dda2b6aa3e55aa12df4e9f2378ee01a17e2855e \ + --hash=sha256:f86593c18d2e6248e72fb91c77d413a815153b8ea4e31f7cd443bdf28e467670 \ + --hash=sha256:fb16ba563d59003028b678d2361a27f7e4ae0ab29c7a80690efa20d829c81fdb + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # transformers +tomli==2.0.1 ; python_full_version < '3.11' \ + --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ + --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyterlab + # jupytext + # pytest +torch==2.3.0+cpu \ + --hash=sha256:1e86e225e472392440ace378ba3165b5e87648e8b5fbf16adc41c0df881c38b8 \ + --hash=sha256:28a11bcc0d709b397d675cff689707019b8cc122e6bf328b57b900f47c36f156 \ + --hash=sha256:483131a7997995d867313ee902743084e844e830ab2a0c5e079c61ec2da3cd17 \ + --hash=sha256:5c2afdff80203eaabf4c223a294c2f465020b3360e8e87f76b52ace9c5801ebe \ + --hash=sha256:8c52484880d5fbe511cffc255dd34847ddeced3f94334c6bf7eb2b0445f10cb4 \ + --hash=sha256:97a38b25ee0e3d020691e7846efbca62a3d8a57645c027dcb5ba0adfec36fe55 \ + --hash=sha256:a8982e52185771591dad577a124a7770f72f288f8ae5833317b1e329c0d2f07e \ + --hash=sha256:a8ac195974be6f067245bae8156b8c06fb0a723b0eed8f2e244b5dd58c7e2a49 \ + --hash=sha256:ab0c05525195b8fecdf2ea75968ed32ccd87dff16381b6e13249babb4a9596ff \ + --hash=sha256:e3c220702d82c7596924150e0499fbbffcf62a88a59adc860fa357cd8dc1c302 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # accelerate + # bitsandbytes + # deepspeed + # fairscale + # lm-eval + # openai-whisper + # peft + # pytorch-lightning + # torchaudio + # torchmetrics + # torchtext +torchaudio==2.3.0+cpu \ + --hash=sha256:19e21c8eac310df3eeb55a930f726270cd71b8dd5ab9ae1f5a5915f5791fc9d3 \ + --hash=sha256:1db629f210e19bbfde5715b285ae5e15bafdf037877eb7538b221742906e05ba \ + --hash=sha256:2cbf497e48b5e80c12861d2f1d40ae035eb6c1aabda6264a547e11ee8c6dff60 \ + --hash=sha256:424499caf711673302263c22422d3a6a9e37c918776205081315ef6870dafde2 \ + --hash=sha256:7e59daaa546fa5852f99a84d718c36112278d295c467585d451eb3cb5b9c7645 \ + --hash=sha256:850c9e4f0c7b8a7785458ef3142adcb1fbb52c4cede46492e93f2dea3aad4cb6 \ + --hash=sha256:8d4eb6acc3e2039ee63b085c23fe193e8b32c09beb360c49b9d25c26a8455b22 \ + --hash=sha256:d738723dfcb90a7d11d46d89dd48e0215af16096f5084fcb712aacdc805f76dd \ + --hash=sha256:dd3d6944a480bc59f8cf6c72fd06e1f3d446c8c0dbf2a96c721943bc980a3248 \ + --hash=sha256:fec488d1e034a78b58de46552fd684868ee8e49853c3b901628be9dbbc40095b + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +torchmetrics==0.10.3 \ + --hash=sha256:9e6ab66175f2dc13e246c37485b2c27c77931dfe47fc2b81c76217b8efdc1e57 \ + --hash=sha256:b12cf92897545e24a825b0d168888c0f3052700c2901e2d4f7d90b252bc4a343 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # pytorch-lightning +torchtext==0.18.0+cpu \ + --hash=sha256:128b4356d96059e6550b58d18e6a1147c85e3e0a91780cd87bfec45a36a73863 \ + --hash=sha256:1b6a6c2cfcae95ef8cd41e28e7081749cde738c56bbbedf773e6d74ed3728538 \ + --hash=sha256:36cceed5c2aedb3d765341ed747fbf3e5693e4bc3ab82f43d40768b1770fdbe9 \ + --hash=sha256:489a817093990d208fca447509f125292cd484eff5e058289c614271c98c4f4b \ + --hash=sha256:8e8c5ef34df27749f293c03d4b8a63f7ac9e587ae31aef4cb27537026a564f4f \ + --hash=sha256:a388b78c6361fdf8da3336802d7801df4dcfc1a09475fae379da77cd7877f8c2 \ + --hash=sha256:bf24e274d8aefba3b02ffe42b32df48ca0a77b20c78d4326d620d8c3e0b947a3 \ + --hash=sha256:c28bede9fad3c89898901a815aa0f2e78e1d342c28b38664e1d7ea5e616f9b12 \ + --hash=sha256:c760e672265cd6f3e4a7c8d4a78afe9e9617deacda926a743479ee0418d4207d \ + --hash=sha256:f4dc0083c5b1b73109dd7f4fbade067f6ba1cd76a349dec35b4ba7e0599d3f66 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +tornado==6.1 \ + --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ + --hash=sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c \ + --hash=sha256:1e8225a1070cd8eec59a996c43229fe8f95689cb16e552d130b9793cb570a288 \ + --hash=sha256:20241b3cb4f425e971cb0a8e4ffc9b0a861530ae3c52f2b0434e6c1b57e9fd95 \ + --hash=sha256:25ad220258349a12ae87ede08a7b04aca51237721f63b1808d39bdb4b2164558 \ + --hash=sha256:33892118b165401f291070100d6d09359ca74addda679b60390b09f8ef325ffe \ + --hash=sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791 \ + --hash=sha256:3447475585bae2e77ecb832fc0300c3695516a47d46cefa0528181a34c5b9d3d \ + --hash=sha256:34ca2dac9e4d7afb0bed4677512e36a52f09caa6fded70b4e3e1c89dbd92c326 \ + --hash=sha256:3e63498f680547ed24d2c71e6497f24bca791aca2fe116dbc2bd0ac7f191691b \ + --hash=sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4 \ + --hash=sha256:6196a5c39286cc37c024cd78834fb9345e464525d8991c21e908cc046d1cc02c \ + --hash=sha256:61b32d06ae8a036a6607805e6720ef00a3c98207038444ba7fd3d169cd998910 \ + --hash=sha256:6286efab1ed6e74b7028327365cf7346b1d777d63ab30e21a0f4d5b275fc17d5 \ + --hash=sha256:65d98939f1a2e74b58839f8c4dab3b6b3c1ce84972ae712be02845e65391ac7c \ + --hash=sha256:66324e4e1beede9ac79e60f88de548da58b1f8ab4b2f1354d8375774f997e6c0 \ + --hash=sha256:6c77c9937962577a6a76917845d06af6ab9197702a42e1346d8ae2e76b5e3675 \ + --hash=sha256:70dec29e8ac485dbf57481baee40781c63e381bebea080991893cd297742b8fd \ + --hash=sha256:7250a3fa399f08ec9cb3f7b1b987955d17e044f1ade821b32e5f435130250d7f \ + --hash=sha256:748290bf9112b581c525e6e6d3820621ff020ed95af6f17fedef416b27ed564c \ + --hash=sha256:7da13da6f985aab7f6f28debab00c67ff9cbacd588e8477034c0652ac141feea \ + --hash=sha256:8f959b26f2634a091bb42241c3ed8d3cedb506e7c27b8dd5c7b9f745318ddbb6 \ + --hash=sha256:9de9e5188a782be6b1ce866e8a51bc76a0fbaa0e16613823fc38e4fc2556ad05 \ + --hash=sha256:a48900ecea1cbb71b8c71c620dee15b62f85f7c14189bdeee54966fbd9a0c5bd \ + --hash=sha256:b87936fd2c317b6ee08a5741ea06b9d11a6074ef4cc42e031bc6403f82a32575 \ + --hash=sha256:c77da1263aa361938476f04c4b6c8916001b90b2c2fdd92d8d535e1af48fba5a \ + --hash=sha256:cb5ec8eead331e3bb4ce8066cf06d2dfef1bfb1b2a73082dfe8a161301b76e37 \ + --hash=sha256:cc0ee35043162abbf717b7df924597ade8e5395e7b66d18270116f8745ceb795 \ + --hash=sha256:d14d30e7f46a0476efb0deb5b61343b1526f73ebb5ed84f23dc794bdb88f9d9f \ + --hash=sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32 \ + --hash=sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c \ + --hash=sha256:d3f7594930c423fd9f5d1a76bee85a2c36fd8b4b16921cae7e965f22575e9c01 \ + --hash=sha256:dcef026f608f678c118779cd6591c8af6e9b4155c44e0d1bc0c87c036fb8c8c4 \ + --hash=sha256:e0791ac58d91ac58f694d8d2957884df8e4e2f6687cdf367ef7eb7497f79eaa2 \ + --hash=sha256:e385b637ac3acaae8022e7e47dfa7b83d3620e432e3ecb9a3f7f58f150e50921 \ + --hash=sha256:e519d64089b0876c7b467274468709dadf11e41d65f63bba207e04217f47c085 \ + --hash=sha256:e7229e60ac41a1202444497ddde70a48d33909e484f96eb0da9baf8dc68541df \ + --hash=sha256:ed3ad863b1b40cd1d4bd21e7498329ccaece75db5a5bf58cd3c9f130843e7102 \ + --hash=sha256:f0ba29bafd8e7e22920567ce0d232c26d4d47c8b5cf4ed7b562b5db39fa199c5 \ + --hash=sha256:fa2ba70284fa42c2a5ecb35e322e68823288a4251f9ba9cc77be04ae15eada68 \ + --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale + # ipykernel + # jupyter-client + # jupyter-server + # jupyterlab + # nbclassic + # notebook + # terminado +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # anyscale + # datasets + # deepspeed + # evaluate + # huggingface-hub + # nltk + # openai-whisper + # peft + # pytorch-lightning + # statsforecast + # torchtext + # tqdm-multiprocess + # transformers +tqdm-multiprocess==0.0.11 \ + --hash=sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa \ + --hash=sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7 + # via lm-eval +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # comm + # ipykernel + # ipython + # ipywidgets + # jupyter-client + # jupyter-core + # jupyter-events + # jupyter-server + # matplotlib-inline + # nbclassic + # nbclient + # nbconvert + # nbformat + # notebook +transformers==4.36.2 \ + --hash=sha256:462066c4f74ee52516f12890dcc9ec71d1a5e97998db621668455117a54330f6 \ + --hash=sha256:d8068e897e47793281501e547d2bbdfc5b8556409c2cb6c3d9e2ca77d4c0b4ec + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # lm-eval + # peft +triad==0.9.8 \ + --hash=sha256:2c0ba7d83977c6d4e7b59e3cc70727f858014ef7676c62d184aa8e63f7bef5de \ + --hash=sha256:5b67673124891981daf8afbab44b2e6358932ca35ef3ff38a25bc3e0f6f03f17 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # adagio + # fugue + # fugue-sql-antlr + # qpd +triton==2.3.0 \ + --hash=sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440 \ + --hash=sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0 \ + --hash=sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c \ + --hash=sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd \ + --hash=sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8 \ + --hash=sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65 + # via + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # openai-whisper +trueskill==0.4.5 \ + --hash=sha256:9d62b48d2428369d712bd9becff9f9a2caa325e1a2ab5f9392d34bff757867bb + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +typepy==1.3.4 \ + --hash=sha256:89c1f66de6c6133209c43a94d23431d320ba03ef5db18f241091ea594035d9de \ + --hash=sha256:d5ed3e0c7f49521bff0603dd08cf8d453371cf68d65a29d3d0038552ccc46e2e + # via + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # dataproperty + # pytablewriter + # tabledata +typer==0.12.3 \ + --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ + --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +types-python-dateutil==2.9.0.20240316 \ + --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ + --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # arrow +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # albucore + # albumentations + # anyscale + # azure-core + # azure-identity + # azure-storage-blob + # exceptiongroup + # fastapi + # grpcio + # huggingface-hub + # ipython + # lightning-utilities + # pydantic + # pydantic-core + # pyopenssl + # pytorch-lightning + # referencing + # starlette + # torch + # typer + # typing-inspection + # wandb +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +tzlocal==5.3 \ + --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ + --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +uri-template==1.3.0 \ + --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ + --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +uritemplate==4.1.1 \ + --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ + --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-python-client +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in + # anyscale + # botocore + # geventhttpclient + # requests + # sentry-sdk +utilsforecast==0.2.0 \ + --hash=sha256:3db4245da4e361f26c8eaeef216c2d1206b20defbb033bf11d3e66ce2b1d6ef8 \ + --hash=sha256:a4825bf8da547e3dc552f9b9a7a8159341a118c3a5d122191f09bc3683cba433 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +validators==0.35.0 \ + --hash=sha256:992d6c48a4e77c81f1b4daba10d16c3a9bb0dbb79b3a19ea847ff0928e70497a \ + --hash=sha256:e8c947097eae7892cb3d26868d637f79f47b4a0554bc6b80065dfe5aac3705dd + # via -r release/ray_release/byod/requirements_ml_byod_3.9.in +wandb==0.17.0 \ + --hash=sha256:1f692d3063a0d50474022cfe6668e1828260436d1cd40827d1e136b7f730c74c \ + --hash=sha256:56a1dd6e0e635cba3f6ed30b52c71739bdc2a3e57df155619d2d80ee952b4201 \ + --hash=sha256:ab582ca0d54d52ef5b991de0717350b835400d9ac2d3adab210022b68338d694 \ + --hash=sha256:b1b056b4cad83b00436cb76049fd29ecedc6045999dcaa5eba40db6680960ac2 \ + --hash=sha256:b7bed8a3dd404a639e6bf5fea38c6efe2fb98d416ff1db4fb51be741278ed328 \ + --hash=sha256:e1e6f04e093a6a027dcb100618ca23b122d032204b2ed4c62e4e991a48041a6b \ + --hash=sha256:feeb60d4ff506d2a6bc67f953b310d70b004faa789479c03ccd1559c6f1a9633 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # prompt-toolkit +webcolors==24.6.0 \ + --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ + --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +webencodings==0.5.1 \ + --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ + --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # bleach + # tinycss2 +websocket-client==1.8.0 \ + --hash=sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 \ + --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server +websockets==11.0.3 \ + --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ + --hash=sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f \ + --hash=sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998 \ + --hash=sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82 \ + --hash=sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788 \ + --hash=sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa \ + --hash=sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f \ + --hash=sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4 \ + --hash=sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7 \ + --hash=sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f \ + --hash=sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd \ + --hash=sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69 \ + --hash=sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb \ + --hash=sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b \ + --hash=sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016 \ + --hash=sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac \ + --hash=sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4 \ + --hash=sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb \ + --hash=sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99 \ + --hash=sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e \ + --hash=sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54 \ + --hash=sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf \ + --hash=sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007 \ + --hash=sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3 \ + --hash=sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6 \ + --hash=sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86 \ + --hash=sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1 \ + --hash=sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61 \ + --hash=sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11 \ + --hash=sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8 \ + --hash=sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f \ + --hash=sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931 \ + --hash=sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526 \ + --hash=sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016 \ + --hash=sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae \ + --hash=sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd \ + --hash=sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b \ + --hash=sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311 \ + --hash=sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af \ + --hash=sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152 \ + --hash=sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288 \ + --hash=sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de \ + --hash=sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97 \ + --hash=sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d \ + --hash=sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d \ + --hash=sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca \ + --hash=sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0 \ + --hash=sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9 \ + --hash=sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b \ + --hash=sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e \ + --hash=sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128 \ + --hash=sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d \ + --hash=sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c \ + --hash=sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5 \ + --hash=sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6 \ + --hash=sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b \ + --hash=sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b \ + --hash=sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280 \ + --hash=sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c \ + --hash=sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c \ + --hash=sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f \ + --hash=sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20 \ + --hash=sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8 \ + --hash=sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb \ + --hash=sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602 \ + --hash=sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf \ + --hash=sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0 \ + --hash=sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74 \ + --hash=sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0 \ + --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +werkzeug==2.3.8 \ + --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ + --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # locust +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +wrapt==1.14.1 \ + --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ + --hash=sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b \ + --hash=sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4 \ + --hash=sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2 \ + --hash=sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656 \ + --hash=sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3 \ + --hash=sha256:2020f391008ef874c6d9e208b24f28e31bcb85ccff4f335f15a3251d222b92d9 \ + --hash=sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff \ + --hash=sha256:240b1686f38ae665d1b15475966fe0472f78e71b1b4903c143a842659c8e4cb9 \ + --hash=sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310 \ + --hash=sha256:26046cd03936ae745a502abf44dac702a5e6880b2b01c29aea8ddf3353b68224 \ + --hash=sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a \ + --hash=sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57 \ + --hash=sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069 \ + --hash=sha256:2feecf86e1f7a86517cab34ae6c2f081fd2d0dac860cb0c0ded96d799d20b335 \ + --hash=sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383 \ + --hash=sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe \ + --hash=sha256:358fe87cc899c6bb0ddc185bf3dbfa4ba646f05b1b0b9b5a27c2cb92c2cea204 \ + --hash=sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87 \ + --hash=sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d \ + --hash=sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b \ + --hash=sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907 \ + --hash=sha256:49ef582b7a1152ae2766557f0550a9fcbf7bbd76f43fbdc94dd3bf07cc7168be \ + --hash=sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f \ + --hash=sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0 \ + --hash=sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28 \ + --hash=sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1 \ + --hash=sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853 \ + --hash=sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc \ + --hash=sha256:6447e9f3ba72f8e2b985a1da758767698efa72723d5b59accefd716e9e8272bf \ + --hash=sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3 \ + --hash=sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3 \ + --hash=sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164 \ + --hash=sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1 \ + --hash=sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c \ + --hash=sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1 \ + --hash=sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7 \ + --hash=sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1 \ + --hash=sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320 \ + --hash=sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed \ + --hash=sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1 \ + --hash=sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248 \ + --hash=sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c \ + --hash=sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456 \ + --hash=sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77 \ + --hash=sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef \ + --hash=sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1 \ + --hash=sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7 \ + --hash=sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86 \ + --hash=sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4 \ + --hash=sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d \ + --hash=sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d \ + --hash=sha256:a9008dad07d71f68487c91e96579c8567c98ca4c3881b9b113bc7b33e9fd78b8 \ + --hash=sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8 \ + --hash=sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5 \ + --hash=sha256:acae32e13a4153809db37405f5eba5bac5fbe2e2ba61ab227926a22901051c0a \ + --hash=sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471 \ + --hash=sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00 \ + --hash=sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68 \ + --hash=sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3 \ + --hash=sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d \ + --hash=sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735 \ + --hash=sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d \ + --hash=sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569 \ + --hash=sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7 \ + --hash=sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59 \ + --hash=sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5 \ + --hash=sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb \ + --hash=sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b \ + --hash=sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f \ + --hash=sha256:ecee4132c6cd2ce5308e21672015ddfed1ff975ad0ac8d27168ea82e71413f55 \ + --hash=sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462 \ + --hash=sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015 \ + --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # anyscale +xgboost==2.1.0 \ + --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ + --hash=sha256:43b16205689249d7509daf7a6ab00ad0e6c570b3a9c263cb32b26e39d9477bb3 \ + --hash=sha256:7144980923e76ce741c7b03a14d3bd7514db6de5c7cabe96ba95b229d274f5ca \ + --hash=sha256:73673c9bb85927db7fe2e3aed6df6d35dba708cfd6767cc63d4ea11dda2dede5 \ + --hash=sha256:74904b91c42524a6c32147fe5718569e78fb65911ff4499b053f81d0964514d4 \ + --hash=sha256:840a0c6e2119d8c8f260a5dace996ea064a267f62b301a25d7d452488a7ac860 \ + --hash=sha256:b2a456eb0f3d3e8fd8ab37e44ac288292bf8ea8744c294be9fd88713d27af810 \ + --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.9.in +xxhash==3.4.1 \ + --hash=sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b \ + --hash=sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9 \ + --hash=sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa \ + --hash=sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b \ + --hash=sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681 \ + --hash=sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f \ + --hash=sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2 \ + --hash=sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583 \ + --hash=sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8 \ + --hash=sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4 \ + --hash=sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0 \ + --hash=sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f \ + --hash=sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11 \ + --hash=sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920 \ + --hash=sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46 \ + --hash=sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088 \ + --hash=sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee \ + --hash=sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2 \ + --hash=sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e \ + --hash=sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624 \ + --hash=sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799 \ + --hash=sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137 \ + --hash=sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647 \ + --hash=sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc \ + --hash=sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2 \ + --hash=sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3 \ + --hash=sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663 \ + --hash=sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22 \ + --hash=sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1 \ + --hash=sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec \ + --hash=sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e \ + --hash=sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5 \ + --hash=sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6 \ + --hash=sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189 \ + --hash=sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476 \ + --hash=sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3 \ + --hash=sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562 \ + --hash=sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e \ + --hash=sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2 \ + --hash=sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0 \ + --hash=sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03 \ + --hash=sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b \ + --hash=sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93 \ + --hash=sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9 \ + --hash=sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844 \ + --hash=sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6 \ + --hash=sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de \ + --hash=sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b \ + --hash=sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff \ + --hash=sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940 \ + --hash=sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6 \ + --hash=sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df \ + --hash=sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4 \ + --hash=sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c \ + --hash=sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5 \ + --hash=sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747 \ + --hash=sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f \ + --hash=sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45 \ + --hash=sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3 \ + --hash=sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795 \ + --hash=sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b \ + --hash=sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228 \ + --hash=sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c \ + --hash=sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537 \ + --hash=sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78 \ + --hash=sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84 \ + --hash=sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb \ + --hash=sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5 \ + --hash=sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e \ + --hash=sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa \ + --hash=sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594 \ + --hash=sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a \ + --hash=sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641 \ + --hash=sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3 \ + --hash=sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc \ + --hash=sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520 \ + --hash=sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da \ + --hash=sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52 \ + --hash=sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54 \ + --hash=sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693 \ + --hash=sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6 \ + --hash=sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce \ + --hash=sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f \ + --hash=sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3 \ + --hash=sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a \ + --hash=sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f \ + --hash=sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51 \ + --hash=sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832 \ + --hash=sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf \ + --hash=sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b \ + --hash=sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31 \ + --hash=sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f \ + --hash=sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10 \ + --hash=sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f \ + --hash=sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9 \ + --hash=sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6 \ + --hash=sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a \ + --hash=sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3 \ + --hash=sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7 \ + --hash=sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa \ + --hash=sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817 \ + --hash=sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1 \ + --hash=sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0 \ + --hash=sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49 \ + --hash=sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b \ + --hash=sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d \ + --hash=sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb \ + --hash=sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate +y-py==0.6.2 \ + --hash=sha256:015f7f6c1ce8a83d57955d1dc7ddd57cb633ae00576741a4fc9a0f72ed70007d \ + --hash=sha256:032365dfe932bfab8e80937ad6093b4c22e67d63ad880096b5fa8768f8d829ba \ + --hash=sha256:0649a41cd3c98e290c16592c082dbe42c7ffec747b596172eebcafb7fd8767b0 \ + --hash=sha256:0787e85645bb4986c27e271715bc5ce21bba428a17964e5ec527368ed64669bc \ + --hash=sha256:0cd6213c3cf2b9eee6f2c9867f198c39124c557f4b3b77d04a73f30fd1277a59 \ + --hash=sha256:0f2d881f0f8bf5674f8fe4774a438c545501e40fa27320c73be4f22463af4b05 \ + --hash=sha256:17bce637a89f6e75f0013be68becac3e38dc082e7aefaf38935e89215f0aa64a \ + --hash=sha256:17edd21eef863d230ea00004ebc6d582cc91d325e7132deb93f0a90eb368c855 \ + --hash=sha256:1d5b544e79ace93fdbd0b36ed329c86e346898153ac7ba2ec62bc9b4c6b745c9 \ + --hash=sha256:1f798165158b76365a463a4f8aa2e3c2a12eb89b1fc092e7020e93713f2ad4dc \ + --hash=sha256:266ec46ab9f9cb40fbb5e649f55c329fc4620fa0b1a8117bdeefe91595e182dc \ + --hash=sha256:26cb1307c3ca9e21a3e307ab2c2099677e071ae9c26ec10ddffb3faceddd76b3 \ + --hash=sha256:2a497ebe617bec6a420fc47378856caae40ab0652e756f3ed40c5f1fe2a12220 \ + --hash=sha256:2b4fac4ea2ce27b86d173ae45765ced7f159120687d4410bb6d0846cbdb170a3 \ + --hash=sha256:2cf817a72ffec4295def5c5be615dd8f1e954cdf449d72ebac579ff427951328 \ + --hash=sha256:2d2b054a1a5f4004967532a4b82c6d1a45421ef2a5b41d35b6a8d41c7142aabe \ + --hash=sha256:316e5e1c40259d482883d1926fd33fa558dc87b2bd2ca53ce237a6fe8a34e473 \ + --hash=sha256:35fcb9def6ce137540fdc0e91b08729677548b9c393c0151a6359fd199da3bd7 \ + --hash=sha256:376c5cc0c177f03267340f36aec23e5eaf19520d41428d87605ca2ca3235d845 \ + --hash=sha256:3ba99d0bdbd9cabd65f914cd07b4fb2e939ce199b54ae5ace1639ce1edf8e0a2 \ + --hash=sha256:3c011303eb2b360695d2bd4bd7ca85f42373ae89fcea48e7fa5b8dc6fc254a98 \ + --hash=sha256:4757a82a50406a0b3a333aa0122019a331bd6f16e49fed67dca423f928b3fd4d \ + --hash=sha256:47fcc19158150dc4a6ae9a970c5bc12f40b0298a2b7d0c573a510a7b6bead3f3 \ + --hash=sha256:4c28d977f516d4928f6bc0cd44561f6d0fdd661d76bac7cdc4b73e3c209441d9 \ + --hash=sha256:5415083f7f10eac25e1c434c87f07cb9bfa58909a6cad6649166fdad21119fc5 \ + --hash=sha256:613f83713714972886e81d71685403098a83ffdacf616f12344b52bc73705107 \ + --hash=sha256:69cfbcbe0a05f43e780e6a198080ba28034bf2bb4804d7d28f71a0379bfd1b19 \ + --hash=sha256:6c2f2831c5733b404d2f2da4bfd02bb4612ae18d0822e14ae79b0b92436b816d \ + --hash=sha256:7227f232f2daf130ba786f6834548f2cfcfa45b7ec4f0d449e72560ac298186c \ + --hash=sha256:72875641a907523d37f4619eb4b303611d17e0a76f2ffc423b62dd1ca67eef41 \ + --hash=sha256:7c7302619fc962e53093ba4a94559281491c045c925e5c4defec5dac358e0568 \ + --hash=sha256:7cbefd4f1060f05768227ddf83be126397b1d430b026c64e0eb25d3cf50c5734 \ + --hash=sha256:80a827e173372682959a57e6b8cc4f6468b1a4495b4bc7a775ef6ca05ae3e8e8 \ + --hash=sha256:82f2e5b31678065e7a7fa089ed974af5a4f076673cf4f414219bdadfc3246a21 \ + --hash=sha256:82f5ca62bedbf35aaf5a75d1f53b4457a1d9b6ff033497ca346e2a0cedf13d14 \ + --hash=sha256:8448da4092265142662bbd3fc46cb8b0796b1e259189c020bc8f738899abd0b5 \ + --hash=sha256:863e175ce5585f9ff3eba2aa16626928387e2a576157f02c8eb247a218ecdeae \ + --hash=sha256:86422c6090f34906c062fd3e4fdfdccf3934f2922021e979573ae315050b4288 \ + --hash=sha256:898fede446ca1926b8406bdd711617c2aebba8227ee8ec1f0c2f8568047116f7 \ + --hash=sha256:8f5c14d25611b263b876e9ada1701415a13c3e9f02ea397224fbe4ca9703992b \ + --hash=sha256:8f6071328aad06fdcc0a4acc2dc4839396d645f5916de07584af807eb7c08407 \ + --hash=sha256:932abb560fe739416b50716a72ba6c6c20b219edded4389d1fc93266f3505d4b \ + --hash=sha256:9b7cafbe946b4cafc1e5709957e6dd5c6259d241d48ed75713ded42a5e8a4663 \ + --hash=sha256:9b8822a5c0fd9a8cffcabfcc0cd7326bad537ee614fc3654e413a03137b6da1a \ + --hash=sha256:a21148b8ea09a631b752d975f9410ee2a31c0e16796fdc113422a6d244be10e5 \ + --hash=sha256:a3932f53418b408fa03bd002e6dc573a74075c2c092926dde80657c39aa2e054 \ + --hash=sha256:a70aee572da3994238c974694767365f237fc5949a550bee78a650fe16f83184 \ + --hash=sha256:ae80d505aee7b3172cdcc2620ca6e2f85586337371138bb2b71aa377d2c31e9a \ + --hash=sha256:b2686d7d8ca31531458a48e08b0344a8eec6c402405446ce7d838e2a7e43355a \ + --hash=sha256:bae1b1ad8d2b8cf938a60313f8f7461de609621c5dcae491b6e54975f76f83c5 \ + --hash=sha256:bd302c6d46a3be57664571a5f0d4224646804be9890a01d73a0b294f2d3bbff1 \ + --hash=sha256:beea5ad9bd9e56aa77a6583b6f4e347d66f1fe7b1a2cb196fff53b7634f9dc84 \ + --hash=sha256:bf6020560584671e76375b7a0539e0d5388fc70fa183c99dc769895f7ef90233 \ + --hash=sha256:c011997f62d0c3b40a617e61b7faaaf6078e4eeff2e95ce4c45838db537816eb \ + --hash=sha256:c08311db17647a47d4898fc6f8d9c1f0e58b927752c894877ff0c38b3db0d6e1 \ + --hash=sha256:c26bada6cd109095139237a46f50fc4308f861f0d304bc9e70acbc6c4503d158 \ + --hash=sha256:c31240e30d5636ded02a54b7280aa129344fe8e964fd63885e85d9a8a83db206 \ + --hash=sha256:ce0ae49879d10610cf3c40f4f376bb3cc425b18d939966ac63a2a9c73eb6f32a \ + --hash=sha256:ce15a842c2a0bf46180ae136743b561fa276300dd7fa61fe76daf00ec7dc0c2d \ + --hash=sha256:ce7c20b9395696d3b5425dccf2706d374e61ccf8f3656bff9423093a6df488f5 \ + --hash=sha256:cfc8381df1f0f873da8969729974f90111cfb61a725ef0a2e0e6215408fe1217 \ + --hash=sha256:d1dca48687f41efd862355e58b0aa31150586219324901dbea2989a506e291d4 \ + --hash=sha256:d3bbe2f925cc587545c8d01587b4523177408edd252a32ce6d61b97113fe234d \ + --hash=sha256:d917f5bc27b85611ceee4eb85f0e4088b0a03b4eed22c472409933a94ee953cf \ + --hash=sha256:dab84c52f64e10adc79011a08673eb80286c159b14e8fb455524bf2994f0cb38 \ + --hash=sha256:de9cfafe97c75cd3ea052a24cd4aabf9fb0cfc3c0f9f810f00121cdf123db9e4 \ + --hash=sha256:df35ea436592eb7e30e59c5403ec08ec3a5e7759e270cf226df73c47b3e739f5 \ + --hash=sha256:e13cba03c7af8c8a846c4495875a09d64362cc4caeed495ada5390644411bbe7 \ + --hash=sha256:e1935d12e503780b859d343161a80df65205d23cad7b4f6c3df6e50321e188a3 \ + --hash=sha256:e42258f66ad9f16d9b62e9c9642742982acb1f30b90f5061522048c1cb99814f \ + --hash=sha256:e794e44fa260300b8850246c6371d94014753c73528f97f6ccb42f5e7ce698ae \ + --hash=sha256:e8638355ae2f996356f7f281e03a3e3ce31f1259510f9d551465356532e0302c \ + --hash=sha256:e92878cc05e844c8da937204bc34c2e6caf66709ce5936802fbfb35f04132892 \ + --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-ydoc + # ypy-websocket +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +ypy-websocket==0.8.4 \ + --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ + --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-server-ydoc +zipp==3.19.2 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # importlib-metadata + # importlib-resources +zope-event==6.0 \ + --hash=sha256:0ebac894fa7c5f8b7a89141c272133d8c1de6ddc75ea4b1f327f00d1f890df92 \ + --hash=sha256:6f0922593407cc673e7d8766b492c519f91bdc99f3080fe43dcec0a800d682a3 + # via gevent +zope-interface==8.0 \ + --hash=sha256:07405019f635a93b318807cb2ec7b05a5ef30f67cf913d11eb2f156ddbcead0d \ + --hash=sha256:0caca2915522451e92c96c2aec404d2687e9c5cb856766940319b3973f62abb8 \ + --hash=sha256:160ba50022b342451baf516de3e3a2cd2d8c8dbac216803889a5eefa67083688 \ + --hash=sha256:1858d1e5bb2c5ae766890708184a603eb484bb7454e306e967932a9f3c558b07 \ + --hash=sha256:1bee9c1b42513148f98d3918affd829804a5c992c000c290dc805f25a75a6a3f \ + --hash=sha256:450ab3357799eed6093f3a9f1fa22761b3a9de9ebaf57f416da2c9fb7122cdcb \ + --hash=sha256:453d2c6668778b8d2215430ed61e04417386e51afb23637ef2e14972b047b700 \ + --hash=sha256:4d639d5015c1753031e180b8ef81e72bb7d47b0aca0218694ad1f19b0a6c6b63 \ + --hash=sha256:5cffe23eb610e32a83283dde5413ab7a17938fa3fbd023ca3e529d724219deb0 \ + --hash=sha256:67047a4470cb2fddb5ba5105b0160a1d1c30ce4b300cf264d0563136adac4eac \ + --hash=sha256:778458ea69413cf8131a3fcc6f0ea2792d07df605422fb03ad87daca3f8f78ce \ + --hash=sha256:7e88c66ebedd1e839082f308b8372a50ef19423e01ee2e09600b80e765a10234 \ + --hash=sha256:7fb931bf55c66a092c5fbfb82a0ff3cc3221149b185bde36f0afc48acb8dcd92 \ + --hash=sha256:804ebacb2776eb89a57d9b5e9abec86930e0ee784a0005030801ae2f6c04d5d8 \ + --hash=sha256:879bb5bf937cde4acd738264e87f03c7bf7d45478f7c8b9dc417182b13d81f6c \ + --hash=sha256:a26ae2fe77c58b4df8c39c2b7c3aadedfd44225a1b54a1d74837cd27057b2fc8 \ + --hash=sha256:a2c107cc6dff954be25399cd81ddc390667f79af306802fc0c1de98614348b70 \ + --hash=sha256:a9a8a71c38628af82a9ea1f7be58e5d19360a38067080c8896f6cbabe167e4f8 \ + --hash=sha256:b14d5aac547e635af749ce20bf49a3f5f93b8a854d2a6b1e95d4d5e5dc618f7d \ + --hash=sha256:b207966f39c2e6fcfe9b68333acb7b19afd3fdda29eccc4643f8d52c180a3185 \ + --hash=sha256:b80447a3a5c7347f4ebf3e50de319c8d2a5dabd7de32f20899ac50fc275b145d \ + --hash=sha256:c0cc51ebd984945362fd3abdc1e140dbd837c3e3b680942b3fa24fe3aac26ef8 \ + --hash=sha256:c23af5b4c4e332253d721ec1222c809ad27ceae382ad5b8ff22c4c4fb6eb8ed5 \ + --hash=sha256:c4d9d3982aaa88b177812cd911ceaf5ffee4829e86ab3273c89428f2c0c32cc4 \ + --hash=sha256:daf4d6ba488a0fb560980b575244aa962a75e77b7c86984138b8d52bd4b5465f \ + --hash=sha256:dee2d1db1067e8a4b682dde7eb4bff21775412358e142f4f98c9066173f9dacd \ + --hash=sha256:e38bb30a58887d63b80b01115ab5e8be6158b44d00b67197186385ec7efe44c7 \ + --hash=sha256:e3cf57f90a760c56c55668f650ba20c3444cde8332820db621c9a1aafc217471 \ + --hash=sha256:ea1f2e47bc0124a03ee1e5fb31aee5dfde876244bcc552b9e3eb20b041b350d7 \ + --hash=sha256:ec1da7b9156ae000cea2d19bad83ddb5c50252f9d7b186da276d17768c67a3cb \ + --hash=sha256:ee9ecad04269c2da4b1be403a47993981531ffd557064b870eab4094730e5062 + # via gevent +zstandard==0.23.0 \ + --hash=sha256:034b88913ecc1b097f528e42b539453fa82c3557e414b3de9d5632c80439a473 \ + --hash=sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916 \ + --hash=sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15 \ + --hash=sha256:12a289832e520c6bd4dcaad68e944b86da3bad0d339ef7989fb7e88f92e96072 \ + --hash=sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4 \ + --hash=sha256:157e89ceb4054029a289fb504c98c6a9fe8010f1680de0201b3eb5dc20aa6d9e \ + --hash=sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26 \ + --hash=sha256:1e172f57cd78c20f13a3415cc8dfe24bf388614324d25539146594c16d78fcc8 \ + --hash=sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5 \ + --hash=sha256:203d236f4c94cd8379d1ea61db2fce20730b4c38d7f1c34506a31b34edc87bdd \ + --hash=sha256:27d3ef2252d2e62476389ca8f9b0cf2bbafb082a3b6bfe9d90cbcbb5529ecf7c \ + --hash=sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db \ + --hash=sha256:2ef230a8fd217a2015bc91b74f6b3b7d6522ba48be29ad4ea0ca3a3775bf7dd5 \ + --hash=sha256:2ef3775758346d9ac6214123887d25c7061c92afe1f2b354f9388e9e4d48acfc \ + --hash=sha256:2f146f50723defec2975fb7e388ae3a024eb7151542d1599527ec2aa9cacb152 \ + --hash=sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269 \ + --hash=sha256:32ba3b5ccde2d581b1e6aa952c836a6291e8435d788f656fe5976445865ae045 \ + --hash=sha256:34895a41273ad33347b2fc70e1bff4240556de3c46c6ea430a7ed91f9042aa4e \ + --hash=sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d \ + --hash=sha256:38302b78a850ff82656beaddeb0bb989a0322a8bbb1bf1ab10c17506681d772a \ + --hash=sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb \ + --hash=sha256:4051e406288b8cdbb993798b9a45c59a4896b6ecee2f875424ec10276a895740 \ + --hash=sha256:40b33d93c6eddf02d2c19f5773196068d875c41ca25730e8288e9b672897c105 \ + --hash=sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274 \ + --hash=sha256:445e4cb5048b04e90ce96a79b4b63140e3f4ab5f662321975679b5f6360b90e2 \ + --hash=sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58 \ + --hash=sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b \ + --hash=sha256:519fbf169dfac1222a76ba8861ef4ac7f0530c35dd79ba5727014613f91613d4 \ + --hash=sha256:53dd9d5e3d29f95acd5de6802e909ada8d8d8cfa37a3ac64836f3bc4bc5512db \ + --hash=sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e \ + --hash=sha256:576856e8594e6649aee06ddbfc738fec6a834f7c85bf7cadd1c53d4a58186ef9 \ + --hash=sha256:59556bf80a7094d0cfb9f5e50bb2db27fefb75d5138bb16fb052b61b0e0eeeb0 \ + --hash=sha256:5d41d5e025f1e0bccae4928981e71b2334c60f580bdc8345f824e7c0a4c2a813 \ + --hash=sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e \ + --hash=sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512 \ + --hash=sha256:62136da96a973bd2557f06ddd4e8e807f9e13cbb0bfb9cc06cfe6d98ea90dfe0 \ + --hash=sha256:64585e1dba664dc67c7cdabd56c1e5685233fbb1fc1966cfba2a340ec0dfff7b \ + --hash=sha256:65308f4b4890aa12d9b6ad9f2844b7ee42c7f7a4fd3390425b242ffc57498f48 \ + --hash=sha256:66b689c107857eceabf2cf3d3fc699c3c0fe8ccd18df2219d978c0283e4c508a \ + --hash=sha256:6a41c120c3dbc0d81a8e8adc73312d668cd34acd7725f036992b1b72d22c1772 \ + --hash=sha256:6f77fa49079891a4aab203d0b1744acc85577ed16d767b52fc089d83faf8d8ed \ + --hash=sha256:72c68dda124a1a138340fb62fa21b9bf4848437d9ca60bd35db36f2d3345f373 \ + --hash=sha256:752bf8a74412b9892f4e5b58f2f890a039f57037f52c89a740757ebd807f33ea \ + --hash=sha256:76e79bc28a65f467e0409098fa2c4376931fd3207fbeb6b956c7c476d53746dd \ + --hash=sha256:774d45b1fac1461f48698a9d4b5fa19a69d47ece02fa469825b442263f04021f \ + --hash=sha256:77da4c6bfa20dd5ea25cbf12c76f181a8e8cd7ea231c673828d0386b1740b8dc \ + --hash=sha256:77ea385f7dd5b5676d7fd943292ffa18fbf5c72ba98f7d09fc1fb9e819b34c23 \ + --hash=sha256:80080816b4f52a9d886e67f1f96912891074903238fe54f2de8b786f86baded2 \ + --hash=sha256:80a539906390591dd39ebb8d773771dc4db82ace6372c4d41e2d293f8e32b8db \ + --hash=sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70 \ + --hash=sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259 \ + --hash=sha256:84433dddea68571a6d6bd4fbf8ff398236031149116a7fff6f777ff95cad3df9 \ + --hash=sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700 \ + --hash=sha256:8ed7d27cb56b3e058d3cf684d7200703bcae623e1dcc06ed1e18ecda39fee003 \ + --hash=sha256:9206649ec587e6b02bd124fb7799b86cddec350f6f6c14bc82a2b70183e708ba \ + --hash=sha256:983b6efd649723474f29ed42e1467f90a35a74793437d0bc64a5bf482bedfa0a \ + --hash=sha256:98da17ce9cbf3bfe4617e836d561e433f871129e3a7ac16d6ef4c680f13a839c \ + --hash=sha256:9c236e635582742fee16603042553d276cca506e824fa2e6489db04039521e90 \ + --hash=sha256:9da6bc32faac9a293ddfdcb9108d4b20416219461e4ec64dfea8383cac186690 \ + --hash=sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f \ + --hash=sha256:a0817825b900fcd43ac5d05b8b3079937073d2b1ff9cf89427590718b70dd840 \ + --hash=sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d \ + --hash=sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9 \ + --hash=sha256:a8fffdbd9d1408006baaf02f1068d7dd1f016c6bcb7538682622c556e7b68e35 \ + --hash=sha256:a9b07268d0c3ca5c170a385a0ab9fb7fdd9f5fd866be004c4ea39e44edce47dd \ + --hash=sha256:ab19a2d91963ed9e42b4e8d77cd847ae8381576585bad79dbd0a8837a9f6620a \ + --hash=sha256:ac184f87ff521f4840e6ea0b10c0ec90c6b1dcd0bad2f1e4a9a1b4fa177982ea \ + --hash=sha256:b0e166f698c5a3e914947388c162be2583e0c638a4703fc6a543e23a88dea3c1 \ + --hash=sha256:b2170c7e0367dde86a2647ed5b6f57394ea7f53545746104c6b09fc1f4223573 \ + --hash=sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09 \ + --hash=sha256:b4567955a6bc1b20e9c31612e615af6b53733491aeaa19a6b3b37f3b65477094 \ + --hash=sha256:b69bb4f51daf461b15e7b3db033160937d3ff88303a7bc808c67bbc1eaf98c78 \ + --hash=sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9 \ + --hash=sha256:be9b5b8659dff1f913039c2feee1aca499cfbc19e98fa12bc85e037c17ec6ca5 \ + --hash=sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9 \ + --hash=sha256:c16842b846a8d2a145223f520b7e18b57c8f476924bda92aeee3a88d11cfc391 \ + --hash=sha256:c363b53e257246a954ebc7c488304b5592b9c53fbe74d03bc1c64dda153fb847 \ + --hash=sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2 \ + --hash=sha256:d20fd853fbb5807c8e84c136c278827b6167ded66c72ec6f9a14b863d809211c \ + --hash=sha256:d2240ddc86b74966c34554c49d00eaafa8200a18d3a5b6ffbf7da63b11d74ee2 \ + --hash=sha256:d477ed829077cd945b01fc3115edd132c47e6540ddcd96ca169facff28173057 \ + --hash=sha256:d50d31bfedd53a928fed6707b15a8dbeef011bb6366297cc435accc888b27c20 \ + --hash=sha256:dc1d33abb8a0d754ea4763bad944fd965d3d95b5baef6b121c0c9013eaf1907d \ + --hash=sha256:dc5d1a49d3f8262be192589a4b72f0d03b72dcf46c51ad5852a4fdc67be7b9e4 \ + --hash=sha256:e2d1a054f8f0a191004675755448d12be47fa9bebbcffa3cdf01db19f2d30a54 \ + --hash=sha256:e7792606d606c8df5277c32ccb58f29b9b8603bf83b48639b7aedf6df4fe8171 \ + --hash=sha256:ed1708dbf4d2e3a1c5c69110ba2b4eb6678262028afd6c6fbcc5a8dac9cda68e \ + --hash=sha256:f2d4380bf5f62daabd7b751ea2339c1a21d1c9463f1feb7fc2bdcea2c29c3160 \ + --hash=sha256:f3513916e8c645d0610815c257cbfd3242adfd5c4cfa78be514e5a3ebb42a41b \ + --hash=sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58 \ + --hash=sha256:f83fa6cae3fff8e98691248c9320356971b59678a17f20656a9e59cd32cee6d8 \ + --hash=sha256:fa6ce8b52c5987b3e34d5674b0ab529a4602b632ebab0a93b07bfb4dfc8f8a33 \ + --hash=sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a \ + --hash=sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880 \ + --hash=sha256:fd30d9c67d13d891f2360b2a120186729c111238ac63b43dbd37a5a40670b8ca \ + --hash=sha256:fd7699e8fd9969f455ef2926221e0233f81a2542921471382e77a9e2f2b57f4b \ + --hash=sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69 + # via + # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt + # lm-eval + +# The following packages were excluded from the output: +# setuptools diff --git a/release/ray_release/byod/requirements_byod_3.10.in b/release/ray_release/byod/requirements_byod_3.10.in new file mode 100644 index 000000000000..02dcaf7a668c --- /dev/null +++ b/release/ray_release/byod/requirements_byod_3.10.in @@ -0,0 +1,42 @@ +# Python requirements to run release tests from anyscale byod (cpu type) + +ale-py +boto3 +cmake +crc32c +cython +fastapi +gcsfs==2023.12.1 +gsutil +gymnasium +gymnasium[atari] +httpx +importlib-metadata +jsonschema +lightgbm +locust==2.18.0 +memray +openskill +orjson +petastorm +protobuf +pyarrow +pydantic>=2.5.0 +pytest +pyyaml +requests>=2.31.0 +semidbm +s3fs +scikit-learn +scipy +tblib +terminado +tensorboardx==2.6.2.2 +tensorflow +trueskill +tqdm +typer +typing-extensions +xarray +xgboost +zarr diff --git a/release/ray_release/byod/requirements_ml_byod_3.10.in b/release/ray_release/byod/requirements_ml_byod_3.10.in new file mode 100644 index 000000000000..11e457f2be93 --- /dev/null +++ b/release/ray_release/byod/requirements_ml_byod_3.10.in @@ -0,0 +1,59 @@ +# Python requirements to run release tests from anyscale byod (gpu type, python 3.9) + +accelerate +bitsandbytes +boto3 +cmake +crc32c +datasets +decord +deepspeed>=0.12.3 +diffusers==0.12.1 +evaluate +fairscale +fastapi +filelock +gcsfs==2023.12.1 +gsutil +ipywidgets +jupytext +lm_eval==0.4.0 +locust==2.18.0 +matplotlib +memray +modin +# mosaicml-streaming +numpy +openai-whisper +openskill +orjson +petastorm +protobuf +pyarrow +pydantic>=2.5.0 +pytest +pytorch-lightning +scikit-learn +semidbm +sentencepiece +statsforecast +tblib +tensorboardX +tiktoken +triton==2.3.0 +torch==2.3.0 +torchaudio +torchmetrics +torchtext +tqdm +transformers +trueskill +typepy>=1.3.2 +typer +typing-extensions +urllib3 +uvicorn +validators +wandb +xgboost +albumentations diff --git a/release/ray_release/byod/requirements_ml_byod_3.9.in b/release/ray_release/byod/requirements_ml_byod_3.9.in index 6c373e1b1a2e..255868a17627 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.9.in +++ b/release/ray_release/byod/requirements_ml_byod_3.9.in @@ -34,7 +34,6 @@ pyarrow pydantic>=2.5.0 pytest pytorch-lightning -pytorch_lightning scikit-learn semidbm sentencepiece From 58bf339938ed429ea0083a702d657422344f339c Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sat, 27 Sep 2025 15:56:16 -0700 Subject: [PATCH 1432/1566] [wheel] return early on build if no bazel build is required (#56975) when running in mode where no bazel build is required, we return early, and avoid running all bazel related logic Signed-off-by: Douglas Strodtman --- python/setup.py | 67 +++++++++++++++++++++++++++---------------------- 1 file changed, 37 insertions(+), 30 deletions(-) diff --git a/python/setup.py b/python/setup.py index 1b6489e46a08..ff650dba53f9 100644 --- a/python/setup.py +++ b/python/setup.py @@ -553,30 +553,10 @@ def build(build_python, build_java, build_cpp, build_redis): ) raise OSError(msg) - bazel_env = os.environ.copy() - bazel_env["PYTHON3_BIN_PATH"] = sys.executable - - if is_native_windows_or_msys(): - SHELL = bazel_env.get("SHELL") - if SHELL: - bazel_env.setdefault("BAZEL_SH", os.path.normpath(SHELL)) - BAZEL_SH = bazel_env.get("BAZEL_SH", "") - SYSTEMROOT = os.getenv("SystemRoot") - wsl_bash = os.path.join(SYSTEMROOT, "System32", "bash.exe") - if (not BAZEL_SH) and SYSTEMROOT and os.path.isfile(wsl_bash): - msg = ( - "You appear to have Bash from WSL," - " which Bazel may invoke unexpectedly. " - "To avoid potential problems," - " please explicitly set the {name!r}" - " environment variable for Bazel." - ).format(name="BAZEL_SH") - raise RuntimeError(msg) - - # Note: We are passing in sys.executable so that we use the same - # version of Python to build packages inside the build.sh script. Note - # that certain flags will not be passed along such as --user or sudo. - # TODO(rkn): Fix this. + # Vendor thirdparty packages. + # + # TODO(ray-core, ray-ci): the version of these vendored packages should be + # pinned, so that the build is reproducible. if not os.getenv("SKIP_THIRDPARTY_INSTALL_CONDA_FORGE"): pip_packages = ["psutil", "colorama"] subprocess.check_call( @@ -607,6 +587,39 @@ def build(build_python, build_java, build_cpp, build_redis): + runtime_env_agent_pip_packages ) + bazel_targets = [] + if build_python: + bazel_targets.append("//:gen_ray_pkg") + if build_cpp: + bazel_targets.append("//cpp:gen_ray_cpp_pkg") + if build_java: + bazel_targets.append("//java:gen_ray_java_pkg") + if build_redis: + bazel_targets.append("//:gen_redis_pkg") + + if not bazel_targets: + return + + bazel_env = os.environ.copy() + bazel_env["PYTHON3_BIN_PATH"] = sys.executable + + if is_native_windows_or_msys(): + SHELL = bazel_env.get("SHELL") + if SHELL: + bazel_env.setdefault("BAZEL_SH", os.path.normpath(SHELL)) + BAZEL_SH = bazel_env.get("BAZEL_SH", "") + SYSTEMROOT = os.getenv("SystemRoot") + wsl_bash = os.path.join(SYSTEMROOT, "System32", "bash.exe") + if (not BAZEL_SH) and SYSTEMROOT and os.path.isfile(wsl_bash): + msg = ( + "You appear to have Bash from WSL," + " which Bazel may invoke unexpectedly. " + "To avoid potential problems," + " please explicitly set the {name!r}" + " environment variable for Bazel." + ).format(name="BAZEL_SH") + raise RuntimeError(msg) + bazel_flags = ["--verbose_failures"] if BAZEL_ARGS: bazel_flags.extend(shlex.split(BAZEL_ARGS)) @@ -645,12 +658,6 @@ def build(build_python, build_java, build_cpp, build_redis): if sys.platform == "win32": bazel_precmd_flags = ["--output_user_root=C:/tmp"] - bazel_targets = [] - bazel_targets += ["//:gen_ray_pkg"] if build_python else [] - bazel_targets += ["//cpp:gen_ray_cpp_pkg"] if build_cpp else [] - bazel_targets += ["//java:gen_ray_java_pkg"] if build_java else [] - bazel_targets += ["//:gen_redis_pkg"] if build_redis else [] - if setup_spec.build_type == BuildType.DEBUG: bazel_flags.append("--config=debug") if setup_spec.build_type == BuildType.ASAN: From 94d32bb6a755f5c1decc35629852577eff0cabaa Mon Sep 17 00:00:00 2001 From: "Kevin H. Luu" Date: Sat, 27 Sep 2025 15:59:57 -0700 Subject: [PATCH 1433/1566] [release] Warning step if manually trigger more than 5 tests (#56658) To avoid accidentally triggering too many tests from a loose regex filter, this step warns users before proceeding if the filter returns 5+ tests to run on release pipeline. --------- Signed-off-by: kevin Signed-off-by: Kevin H. Luu Signed-off-by: Douglas Strodtman --- release/BUILD.bazel | 1 + release/ray_release/buildkite/step.py | 18 +++++ .../custom_image_build_and_test_init.py | 12 ++- release/ray_release/tests/sample_5_tests.yaml | 73 +++++++++++++++++++ .../test_custom_image_build_and_test_init.py | 54 ++++++++++++++ 5 files changed, 156 insertions(+), 2 deletions(-) create mode 100644 release/ray_release/tests/sample_5_tests.yaml diff --git a/release/BUILD.bazel b/release/BUILD.bazel index 4db65f5dbdfd..f051c4ac2b0e 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -484,6 +484,7 @@ py_test( data = [ "hello_world_tests/hello_world_compute_config.yaml", "ray_release/configs/oss_config.yaml", + "ray_release/tests/sample_5_tests.yaml", "ray_release/tests/sample_tests.yaml", ], exec_compatible_with = ["//:hermetic_python"], diff --git a/release/ray_release/buildkite/step.py b/release/ray_release/buildkite/step.py index d122b939fe6f..89213a280886 100644 --- a/release/ray_release/buildkite/step.py +++ b/release/ray_release/buildkite/step.py @@ -74,6 +74,7 @@ def get_step_for_test_group( priority: int = 0, global_config: Optional[str] = None, is_concurrency_limit: bool = True, + block_step_key: Optional[str] = None, ): steps = [] for group in sorted(grouped_tests): @@ -92,6 +93,7 @@ def get_step_for_test_group( env=env, priority_val=priority, global_config=global_config, + block_step_key=block_step_key, ) if not is_concurrency_limit: @@ -115,6 +117,7 @@ def get_step( env: Optional[Dict] = None, priority_val: int = 0, global_config: Optional[str] = None, + block_step_key: Optional[str] = None, ): env = env or {} step = copy.deepcopy(DEFAULT_STEP_TEMPLATE) @@ -200,4 +203,19 @@ def get_step( else: step["depends_on"] = get_prerequisite_step(image) + if block_step_key: + if not step["depends_on"]: + step["depends_on"] = block_step_key + else: + step["depends_on"] = [step["depends_on"], block_step_key] + return step + + +def generate_block_step(num_tests: int): + step = { + "block": "Run release tests", + "depends_on": None, + "key": "block_run_release_tests", + "prompt": f"You are triggering {num_tests} tests. Do you want to proceed?", + } return step diff --git a/release/ray_release/scripts/custom_image_build_and_test_init.py b/release/ray_release/scripts/custom_image_build_and_test_init.py index ff7afe1075f7..ebebbd62303d 100644 --- a/release/ray_release/scripts/custom_image_build_and_test_init.py +++ b/release/ray_release/scripts/custom_image_build_and_test_init.py @@ -16,7 +16,7 @@ read_and_validate_release_test_collection, RELEASE_TEST_CONFIG_FILES, ) -from ray_release.buildkite.step import get_step_for_test_group +from ray_release.buildkite.step import generate_block_step, get_step_for_test_group from ray_release.configs.global_config import init_global_config from ray_release.exception import ReleaseTestConfigError, ReleaseTestCLIError from ray_release.logger import logger @@ -120,6 +120,7 @@ def main( "'New build', leave the commit at HEAD, and only specify the commit " "in the dialog that asks for the Ray wheels." ) from e + filtered_tests = filter_tests( test_collection, frequency=frequency, @@ -168,6 +169,12 @@ def main( if build_id: env["RAYCI_BUILD_ID"] = build_id + # If the build is manually triggered and there are more than 5 tests + # Ask user to confirm before launching the tests. + block_step = None + if test_filters and len(tests) >= 5: + block_step = generate_block_step(len(tests)) + steps = get_step_for_test_group( grouped_tests, minimum_run_per_test=run_per_test, @@ -176,12 +183,13 @@ def main( priority=priority.value, global_config=global_config, is_concurrency_limit=not no_concurrency_limit, + block_step_key=block_step["key"] if block_step else None, ) + steps = [{"group": "block", "steps": [block_step]}] + steps if block_step else steps if "BUILDKITE" in os.environ: if os.path.exists(PIPELINE_ARTIFACT_PATH): shutil.rmtree(PIPELINE_ARTIFACT_PATH) - os.makedirs(PIPELINE_ARTIFACT_PATH, exist_ok=True, mode=0o755) with open(os.path.join(PIPELINE_ARTIFACT_PATH, "pipeline.json"), "wt") as fp: diff --git a/release/ray_release/tests/sample_5_tests.yaml b/release/ray_release/tests/sample_5_tests.yaml new file mode 100644 index 000000000000..7ebc7eac416d --- /dev/null +++ b/release/ray_release/tests/sample_5_tests.yaml @@ -0,0 +1,73 @@ +- name: hello_world + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: {} + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws + +- name: hello_world_custom + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: + type: gpu + post_build_script: byod_hello_world.sh + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws + +- name: hello_world_2 + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: {} + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws + +- name: hello_world_custom_2 + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: + type: gpu + post_build_script: byod_hello_world.sh + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws + +- name: hello_world_3 + team: reef + group: hello_world + frequency: nightly + working_dir: hello_world_tests + cluster: + byod: {} + cluster_compute: hello_world_compute_config.yaml + run: + timeout: 1800 + script: python hello_world.py + variations: + - __suffix__: aws diff --git a/release/ray_release/tests/test_custom_image_build_and_test_init.py b/release/ray_release/tests/test_custom_image_build_and_test_init.py index 119f3084ae74..c6ef9722999e 100644 --- a/release/ray_release/tests/test_custom_image_build_and_test_init.py +++ b/release/ray_release/tests/test_custom_image_build_and_test_init.py @@ -56,5 +56,59 @@ def test_custom_image_build_and_test_init( assert result.exit_code == 0 +@patch.dict("os.environ", {"BUILDKITE": "1"}) +@patch.dict("os.environ", {"RAYCI_BUILD_ID": "a1b2c3d4"}) +@patch("ray_release.test.Test.update_from_s3", return_value=None) +@patch("ray_release.test.Test.is_jailed_with_open_issue", return_value=False) +def test_custom_image_build_and_test_init_with_block_step( + mock_update_from_s3, mock_is_jailed_with_open_issue +): + num_tests_expected = 5 + runner = CliRunner() + custom_build_jobs_output_file = "custom_build_jobs.yaml" + test_jobs_output_file = "test_jobs.json" + result = runner.invoke( + main, + [ + "--test-collection-file", + "release/ray_release/tests/sample_5_tests.yaml", + "--global-config", + "oss_config.yaml", + "--frequency", + "nightly", + "--run-jailed-tests", + "--run-unstable-tests", + "--test-filters", + "prefix:hello_world", + "--custom-build-jobs-output-file", + custom_build_jobs_output_file, + "--test-jobs-output-file", + test_jobs_output_file, + ], + catch_exceptions=False, + ) + with open( + os.path.join(_bazel_workspace_dir, custom_build_jobs_output_file), "r" + ) as f: + custom_build_jobs = yaml.safe_load(f) + assert len(custom_build_jobs["steps"]) == 1 # 1 custom build job + with open(os.path.join(_bazel_workspace_dir, test_jobs_output_file), "r") as f: + test_jobs = json.load(f) + print(test_jobs) + assert len(test_jobs) == 2 # 2 groups: block and hello_world + assert len(test_jobs[0]["steps"]) == 1 # 1 block step + assert test_jobs[0]["steps"][0]["block"] == "Run release tests" + assert test_jobs[0]["steps"][0]["key"] == "block_run_release_tests" + assert ( + test_jobs[0]["steps"][0]["prompt"] + == f"You are triggering {num_tests_expected} tests. Do you want to proceed?" + ) + assert len(test_jobs[1]["steps"]) == num_tests_expected # 5 tests + assert test_jobs[1]["steps"][0]["label"].startswith("hello_world.aws") + assert test_jobs[1]["steps"][1]["label"].startswith("hello_world_custom.aws") + + assert result.exit_code == 0 + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From 6f89324dc2cdb6d6f8f009d76390b7ea9ee8a245 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Sun, 28 Sep 2025 13:23:09 -0700 Subject: [PATCH 1434/1566] [ci] build generated protobuf in ray core binaries (#56969) this avoids the extra calls on bazel build to build the protobuf files, which will load the protobuf compilers. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/ray-core.Dockerfile | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/ci/docker/ray-core.Dockerfile b/ci/docker/ray-core.Dockerfile index 9c1a38a3d35a..dd72f1ba3a8b 100644 --- a/ci/docker/ray-core.Dockerfile +++ b/ci/docker/ray-core.Dockerfile @@ -26,12 +26,13 @@ if [[ "${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> "$HOME/.bazelrc" fi -bazelisk build --config=ci //:ray_pkg_zip +bazelisk build --config=ci //:ray_pkg_zip //:ray_py_proto_zip cp bazel-bin/ray_pkg.zip /home/forge/ray_pkg.zip +cp bazel-bin/ray_py_proto.zip /home/forge/ray_py_proto.zip EOF FROM scratch -COPY --from=builder /home/forge/ray_pkg.zip /ray_pkg.zip +COPY --from=builder /home/forge/ray_pkg.zip /home/forge/ray_py_proto.zip / From 97b9dfbcb94c7d1ba4c7f720d2a70a9a2664d22e Mon Sep 17 00:00:00 2001 From: Evelynn-V Date: Mon, 29 Sep 2025 21:16:49 +0800 Subject: [PATCH 1435/1566] [core] Split raylet cython file into multiple files (GcsSubscriber) (#56924) As mentioned in https://github.com/ray-project/ray/issues/51080, separate _GcsSubscriber class, GcsErrorSubscriber class , and GcsLogSubscriber class from the large _raylet.pyx file. --------- Signed-off-by: Evelynn-V Signed-off-by: Douglas Strodtman --- python/ray/_raylet.pyx | 138 +---------------------- python/ray/includes/gcs_subscriber.pxi | 150 +++++++++++++++++++++++++ 2 files changed, 151 insertions(+), 137 deletions(-) create mode 100644 python/ray/includes/gcs_subscriber.pxi diff --git a/python/ray/_raylet.pyx b/python/ray/_raylet.pyx index f417d3a567f3..f8450499bb0c 100644 --- a/python/ray/_raylet.pyx +++ b/python/ray/_raylet.pyx @@ -199,6 +199,7 @@ include "includes/libcoreworker.pxi" include "includes/global_state_accessor.pxi" include "includes/metric.pxi" include "includes/setproctitle.pxi" +include "includes/gcs_subscriber.pxi" import ray from ray.exceptions import ( @@ -2859,143 +2860,6 @@ cdef class GcsClient: ray._private.utils._CALLED_FREQ[name] += 1 return getattr(self.inner, name) - -cdef class _GcsSubscriber: - """Cython wrapper class of C++ `ray::pubsub::PythonGcsSubscriber`.""" - cdef: - shared_ptr[CPythonGcsSubscriber] inner - - def _construct(self, address, channel, worker_id): - cdef: - c_worker_id = worker_id or b"" - # subscriber_id needs to match the binary format of a random - # SubscriberID / UniqueID, which is 28 (kUniqueIDSize) random bytes. - subscriber_id = bytes(bytearray(random.getrandbits(8) for _ in range(28))) - gcs_address, gcs_port = parse_address(address) - self.inner.reset(new CPythonGcsSubscriber( - gcs_address, int(gcs_port), channel, subscriber_id, c_worker_id)) - - def subscribe(self): - """Registers a subscription for the subscriber's channel type. - - Before the registration, published messages in the channel will not be - saved for the subscriber. - """ - with nogil: - check_status(self.inner.get().Subscribe()) - - @property - def last_batch_size(self): - """Batch size of the result from last poll. - - Used to indicate whether the subscriber can keep up. - """ - return self.inner.get().last_batch_size() - - def close(self): - """Closes the subscriber and its active subscription.""" - with nogil: - check_status(self.inner.get().Close()) - - -cdef class GcsErrorSubscriber(_GcsSubscriber): - """Subscriber to error info. Thread safe. - - Usage example: - subscriber = GcsErrorSubscriber() - # Subscribe to the error channel. - subscriber.subscribe() - ... - while running: - error_id, error_data = subscriber.poll() - ...... - # Unsubscribe from the error channels. - subscriber.close() - """ - - def __init__(self, address, worker_id=None): - self._construct(address, RAY_ERROR_INFO_CHANNEL, worker_id) - - def poll(self, timeout=None): - """Polls for new error messages. - - Returns: - A tuple of error message ID and dict describing the error, - or None, None if polling times out or subscriber closed. - """ - cdef: - CErrorTableData error_data - c_string key_id - int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - - with nogil: - check_status(self.inner.get().PollError(&key_id, timeout_ms, &error_data)) - - if key_id == b"": - return None, None - - return (bytes(key_id), { - "job_id": error_data.job_id(), - "type": error_data.type().decode(), - "error_message": error_data.error_message().decode(), - "timestamp": error_data.timestamp(), - }) - - -cdef class GcsLogSubscriber(_GcsSubscriber): - """Subscriber to logs. Thread safe. - - Usage example: - subscriber = GcsLogSubscriber() - # Subscribe to the log channel. - subscriber.subscribe() - ... - while running: - log = subscriber.poll() - ...... - # Unsubscribe from the log channel. - subscriber.close() - """ - - def __init__(self, address, worker_id=None): - self._construct(address, RAY_LOG_CHANNEL, worker_id) - - def poll(self, timeout=None): - """Polls for new log messages. - - Returns: - A dict containing a batch of log lines and their metadata. - """ - cdef: - CLogBatch log_batch - c_string key_id - int64_t timeout_ms = round(1000 * timeout) if timeout else -1 - c_vector[c_string] c_log_lines - c_string c_log_line - - with nogil: - check_status(self.inner.get().PollLogs(&key_id, timeout_ms, &log_batch)) - - result = { - "ip": log_batch.ip().decode(), - "pid": log_batch.pid().decode(), - "job": log_batch.job_id().decode(), - "is_err": log_batch.is_error(), - "actor_name": log_batch.actor_name().decode(), - "task_name": log_batch.task_name().decode(), - } - - with nogil: - c_log_lines = PythonGetLogBatchLines(move(log_batch)) - - log_lines = [] - for c_log_line in c_log_lines: - log_lines.append(c_log_line.decode()) - - result["lines"] = log_lines - return result - - cdef class CoreWorker: def __cinit__(self, worker_type, store_socket, raylet_socket, diff --git a/python/ray/includes/gcs_subscriber.pxi b/python/ray/includes/gcs_subscriber.pxi new file mode 100644 index 000000000000..09511b5e52f2 --- /dev/null +++ b/python/ray/includes/gcs_subscriber.pxi @@ -0,0 +1,150 @@ +import random + +from libcpp.memory cimport shared_ptr +from libcpp.string cimport string as c_string +from libcpp.vector cimport vector as c_vector +from libcpp.utility cimport move + +from ray.includes.common cimport( + CPythonGcsSubscriber, + CErrorTableData, + CLogBatch, + PythonGetLogBatchLines, + RAY_ERROR_INFO_CHANNEL, + RAY_LOG_CHANNEL, +) + +cdef class _GcsSubscriber: + """Cython wrapper class of C++ `ray::pubsub::PythonGcsSubscriber`.""" + cdef: + shared_ptr[CPythonGcsSubscriber] inner + + def _construct(self, address, channel, worker_id): + cdef: + c_worker_id = worker_id or b"" + # subscriber_id needs to match the binary format of a random + # SubscriberID / UniqueID, which is 28 (kUniqueIDSize) random bytes. + subscriber_id = bytes(bytearray(random.getrandbits(8) for _ in range(28))) + gcs_address, gcs_port = parse_address(address) + self.inner.reset(new CPythonGcsSubscriber( + gcs_address, int(gcs_port), channel, subscriber_id, c_worker_id)) + + def subscribe(self): + """Registers a subscription for the subscriber's channel type. + + Before the registration, published messages in the channel will not be + saved for the subscriber. + """ + with nogil: + check_status(self.inner.get().Subscribe()) + + @property + def last_batch_size(self): + """Batch size of the result from last poll. + + Used to indicate whether the subscriber can keep up. + """ + return self.inner.get().last_batch_size() + + def close(self): + """Closes the subscriber and its active subscription.""" + with nogil: + check_status(self.inner.get().Close()) + + +cdef class GcsErrorSubscriber(_GcsSubscriber): + """Subscriber to error info. Thread safe. + + Usage example: + subscriber = GcsErrorSubscriber() + # Subscribe to the error channel. + subscriber.subscribe() + ... + while running: + error_id, error_data = subscriber.poll() + ...... + # Unsubscribe from the error channels. + subscriber.close() + """ + + def __init__(self, address, worker_id=None): + self._construct(address, RAY_ERROR_INFO_CHANNEL, worker_id) + + def poll(self, timeout=None): + """Polls for new error messages. + + Returns: + A tuple of error message ID and dict describing the error, + or None, None if polling times out or subscriber closed. + """ + cdef: + CErrorTableData error_data + c_string key_id + int64_t timeout_ms = round(1000 * timeout) if timeout else -1 + + with nogil: + check_status(self.inner.get().PollError(&key_id, timeout_ms, &error_data)) + + if key_id == b"": + return None, None + + return (bytes(key_id), { + "job_id": error_data.job_id(), + "type": error_data.type().decode(), + "error_message": error_data.error_message().decode(), + "timestamp": error_data.timestamp(), + }) + + +cdef class GcsLogSubscriber(_GcsSubscriber): + """Subscriber to logs. Thread safe. + + Usage example: + subscriber = GcsLogSubscriber() + # Subscribe to the log channel. + subscriber.subscribe() + ... + while running: + log = subscriber.poll() + ...... + # Unsubscribe from the log channel. + subscriber.close() + """ + + def __init__(self, address, worker_id=None): + self._construct(address, RAY_LOG_CHANNEL, worker_id) + + def poll(self, timeout=None): + """Polls for new log messages. + + Returns: + A dict containing a batch of log lines and their metadata. + """ + cdef: + CLogBatch log_batch + c_string key_id + int64_t timeout_ms = round(1000 * timeout) if timeout else -1 + c_vector[c_string] c_log_lines + c_string c_log_line + + with nogil: + check_status(self.inner.get().PollLogs(&key_id, timeout_ms, &log_batch)) + + result = { + "ip": log_batch.ip().decode(), + "pid": log_batch.pid().decode(), + "job": log_batch.job_id().decode(), + "is_err": log_batch.is_error(), + "actor_name": log_batch.actor_name().decode(), + "task_name": log_batch.task_name().decode(), + } + + with nogil: + c_log_lines = PythonGetLogBatchLines(move(log_batch)) + + log_lines = [] + for c_log_line in c_log_lines: + log_lines.append(c_log_line.decode()) + + result["lines"] = log_lines + return result From e0b920fa4bc98737e6afd05175dadfbd71819e5d Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Mon, 29 Sep 2025 06:23:46 -0700 Subject: [PATCH 1436/1566] [core] Fix cpp api mac breakage from #56514 (#56915) https://buildkite.com/ray-project/postmerge-macos/builds/8257#01997de0-1e13-4954-a370-6255f650ca17 mac c++ / java tests broke after #56514. Fixing by reverting to have tag_defs.cc define the vars in a separate file and not just in the header. Why does this fix it - I have no idea... for some reason the c++ api dynamic linking madness doesn't like the inlined vars on the mac build specifically??? --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- src/ray/raylet/local_object_manager.cc | 4 +-- src/ray/stats/BUILD.bazel | 1 + src/ray/stats/metric_defs.cc | 2 +- src/ray/stats/tag_defs.cc | 37 ++++++++++++++++++++++++++ src/ray/stats/tag_defs.h | 24 ++++++++--------- 5 files changed, 52 insertions(+), 16 deletions(-) create mode 100644 src/ray/stats/tag_defs.cc diff --git a/src/ray/raylet/local_object_manager.cc b/src/ray/raylet/local_object_manager.cc index 92565bb2bdac..fb2b037dc29d 100644 --- a/src/ray/raylet/local_object_manager.cc +++ b/src/ray/raylet/local_object_manager.cc @@ -647,8 +647,8 @@ void LocalObjectManager::RecordMetrics() const { ray::stats::STATS_spill_manager_request_total.Record(restored_objects_total_, "Restored"); - stats::STATS_object_store_memory.Record( - spilled_bytes_current_, {{std::string_view(stats::LocationKey.name()), "SPILLED"}}); + stats::STATS_object_store_memory.Record(spilled_bytes_current_, + {{stats::LocationKey, "SPILLED"}}); ray::stats::STATS_spill_manager_request_total.Record(num_failed_deletion_requests_, "FailedDeletion"); diff --git a/src/ray/stats/BUILD.bazel b/src/ray/stats/BUILD.bazel index 67417360d2f4..d13ed95622c8 100644 --- a/src/ray/stats/BUILD.bazel +++ b/src/ray/stats/BUILD.bazel @@ -58,6 +58,7 @@ ray_cc_library( ray_cc_library( name = "tag_defs", + srcs = ["tag_defs.cc"], hdrs = ["tag_defs.h"], deps = [ "//src/ray/observability:metric_interface", diff --git a/src/ray/stats/metric_defs.cc b/src/ray/stats/metric_defs.cc index d178430dda8f..60b91309fa20 100644 --- a/src/ray/stats/metric_defs.cc +++ b/src/ray/stats/metric_defs.cc @@ -105,7 +105,7 @@ DEFINE_stats( /// ObjectState: /// - SEALED: sealed objects bytes (could be MMAP_SHM or MMAP_DISK) /// - UNSEALED: unsealed objects bytes (could be MMAP_SHM or MMAP_DISK) - (ray::stats::LocationKey.name(), ray::stats::ObjectStateKey.name()), + ("Location", "ObjectState"), (), ray::stats::GAUGE); diff --git a/src/ray/stats/tag_defs.cc b/src/ray/stats/tag_defs.cc new file mode 100644 index 000000000000..1b24c434a159 --- /dev/null +++ b/src/ray/stats/tag_defs.cc @@ -0,0 +1,37 @@ +// Copyright 2017 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "ray/stats/tag_defs.h" + +namespace ray { +namespace stats { +const TagKeyType ComponentKey = TagKeyType::Register("Component"); + +const TagKeyType NodeAddressKey = TagKeyType::Register("NodeAddress"); + +const TagKeyType VersionKey = TagKeyType::Register("Version"); + +const TagKeyType LanguageKey = TagKeyType::Register("Language"); + +// Keep in sync with the WORKER_ID_TAG_KEY in +// python/ray/_private/telemetry/metric_cardinality.py +const TagKeyType WorkerIdKey = TagKeyType::Register("WorkerId"); + +const TagKeyType SessionNameKey = TagKeyType::Register("SessionName"); + +const TagKeyType NameKey = TagKeyType::Register("Name"); + +const TagKeyType SourceKey = TagKeyType::Register("Source"); +} // namespace stats +} // namespace ray diff --git a/src/ray/stats/tag_defs.h b/src/ray/stats/tag_defs.h index 12e8af6e10e3..b980de892f50 100644 --- a/src/ray/stats/tag_defs.h +++ b/src/ray/stats/tag_defs.h @@ -22,29 +22,27 @@ namespace ray { namespace stats { -inline const TagKeyType ComponentKey = TagKeyType::Register("Component"); +extern const TagKeyType ComponentKey; -inline const TagKeyType NodeAddressKey = TagKeyType::Register("NodeAddress"); +extern const TagKeyType NodeAddressKey; -inline const TagKeyType VersionKey = TagKeyType::Register("Version"); +extern const TagKeyType VersionKey; -inline const TagKeyType LanguageKey = TagKeyType::Register("Language"); +extern const TagKeyType LanguageKey; -// Keep in sync with the WORKER_ID_TAG_KEY in -// python/ray/_private/telemetry/metric_cardinality.py -inline const TagKeyType WorkerIdKey = TagKeyType::Register("WorkerId"); +extern const TagKeyType WorkerIdKey; -inline const TagKeyType SessionNameKey = TagKeyType::Register("SessionName"); +extern const TagKeyType SessionNameKey; -inline const TagKeyType NameKey = TagKeyType::Register("Name"); +extern const TagKeyType NameKey; + +extern const TagKeyType SourceKey; // Object store memory location tag constants -inline const TagKeyType LocationKey = TagKeyType::Register("Location"); +constexpr std::string_view LocationKey = "Location"; // Object store memory sealed/unsealed tag -inline const TagKeyType ObjectStateKey = TagKeyType::Register("ObjectState"); - -inline const TagKeyType SourceKey = TagKeyType::Register("Source"); +constexpr std::string_view ObjectStateKey = "ObjectState"; } // namespace stats } // namespace ray From d27c6b811f6eadb7849f651eb85c358ed096e270 Mon Sep 17 00:00:00 2001 From: sb-hakunamatata <44723171+sb-hakunamatata@users.noreply.github.com> Date: Mon, 29 Sep 2025 21:21:45 +0530 Subject: [PATCH 1437/1566] [java] Bazel fixing the all_modules build (#56999) This change adds bazel build fixes for java. Previously the bazel build for `all_modules` were failing due to having a dependency on `testonly` target in bazel. Moved the `all_modules` and `all_modules_for_test` separately so that both can be used whereever required. Fixes #56990 Signed-off-by: Shriraj Bhardwaj Signed-off-by: Douglas Strodtman --- java/BUILD.bazel | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/java/BUILD.bazel b/java/BUILD.bazel index 7833c83d8fa3..d9cefe4ec28f 100644 --- a/java/BUILD.bazel +++ b/java/BUILD.bazel @@ -22,6 +22,9 @@ all_modules = [ "api", "runtime", "serve", +] + +all_modules_with_test = all_modules + [ "test", "performance_test", ] @@ -34,13 +37,29 @@ java_import( ] + [ "libio_ray_ray_" + module + "-src.jar" for module in all_modules + ], + deps = [ + ":io_ray_ray_" + module + for module in all_modules + ], +) + +java_import( + name = "all_modules_with_test", + testonly = 1, + jars = [ + "libio_ray_ray_" + module + ".jar" + for module in all_modules_with_test + ] + [ + "libio_ray_ray_" + module + "-src.jar" + for module in all_modules_with_test ] + [ "all_tests_deploy.jar", "all_tests_deploy-src.jar", ], deps = [ ":io_ray_ray_" + module - for module in all_modules + for module in all_modules_with_test ] + [ ":all_tests", ], From 96353b3f5a17d1656e4d3070e45ca58cd5e897f8 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 29 Sep 2025 12:35:12 -0500 Subject: [PATCH 1438/1566] [core] Always use `ms` as a consistent unit in event stats (#57001) - Reports all metrics in milliseconds instead of variable units, which makes it easier to understand at a glance and easier to automate analysis of the stats. - Converts to using a monotonic clock instead of system time, which should not be used for measuring intervals. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/common/BUILD.bazel | 3 +- src/ray/common/event_stats.cc | 64 ++++++++++++++++------------------- src/ray/util/time.h | 7 ++++ 3 files changed, 38 insertions(+), 36 deletions(-) diff --git a/src/ray/common/BUILD.bazel b/src/ray/common/BUILD.bazel index 6ea59712ed3d..ccd045b62725 100644 --- a/src/ray/common/BUILD.bazel +++ b/src/ray/common/BUILD.bazel @@ -312,8 +312,7 @@ ray_cc_library( deps = [ ":ray_config", "//src/ray/stats:stats_metric", - "@com_google_absl//absl/container:flat_hash_map", - "@com_google_absl//absl/synchronization", + "//src/ray/util:time", ], ) diff --git a/src/ray/common/event_stats.cc b/src/ray/common/event_stats.cc index b18cfd442374..ee0e7002e431 100644 --- a/src/ray/common/event_stats.cc +++ b/src/ray/common/event_stats.cc @@ -22,6 +22,7 @@ #include "ray/stats/metric.h" #include "ray/stats/metric_defs.h" +#include "ray/util/time.h" namespace { @@ -41,22 +42,14 @@ EventStats to_event_stats_view(std::shared_ptr stats) { return EventStats(stats->stats); } -/// A helper for converting a duration into a human readable string, such as "5.346 ms". -std::string to_human_readable(double duration) { - static const std::array to_unit{{"ns", "us", "ms", "s"}}; - size_t idx = std::min(to_unit.size() - 1, - static_cast(std::log(duration) / std::log(1000))); - double new_duration = duration / std::pow(1000, idx); +/// Convert the duration in nanoseconds to a string of the format: X.YZms. +std::string to_ms_str(double duration_ns) { + double duration_ms = duration_ns / std::pow(1000, 2); std::stringstream result; - result << std::fixed << std::setprecision(3) << new_duration << " " << to_unit[idx]; + result << std::fixed << std::setprecision(2) << duration_ms << "ms"; return result.str(); } -/// A helper for converting a duration into a human readable string, such as "5.346 ms". -std::string to_human_readable(int64_t duration) { - return to_human_readable(static_cast(duration)); -} - } // namespace std::shared_ptr EventTracker::RecordStart( @@ -80,7 +73,7 @@ std::shared_ptr EventTracker::RecordStart( return std::make_shared( std::move(name), - absl::GetCurrentTimeNanos() + expected_queueing_delay_ns, + ray::current_time_ns() + expected_queueing_delay_ns, std::move(stats), global_stats_, emit_metrics, @@ -91,7 +84,7 @@ void EventTracker::RecordEnd(std::shared_ptr handle) { RAY_CHECK(!handle->end_or_execution_recorded); absl::MutexLock lock(&(handle->handler_stats->mutex)); const auto curr_count = --handle->handler_stats->stats.curr_count; - const auto execution_time_ns = absl::GetCurrentTimeNanos() - handle->start_time; + const auto execution_time_ns = ray::current_time_ns() - handle->start_time; handle->handler_stats->stats.cum_execution_time += execution_time_ns; if (handle->emit_stats) { @@ -108,7 +101,7 @@ void EventTracker::RecordEnd(std::shared_ptr handle) { void EventTracker::RecordExecution(const std::function &fn, std::shared_ptr handle) { RAY_CHECK(!handle->end_or_execution_recorded); - int64_t start_execution = absl::GetCurrentTimeNanos(); + int64_t start_execution = ray::current_time_ns(); // Update running count { auto &stats = handle->handler_stats; @@ -117,7 +110,7 @@ void EventTracker::RecordExecution(const std::function &fn, } // Execute actual function. fn(); - int64_t end_execution = absl::GetCurrentTimeNanos(); + int64_t end_execution = ray::current_time_ns(); // Update execution time stats. const auto execution_time_ns = end_execution - start_execution; int64_t curr_count; @@ -246,31 +239,34 @@ std::string EventTracker::StatsString() const { if (entry.second.running_count > 0) { event_stats_stream << ", " << entry.second.running_count << " running"; } - event_stats_stream << "), Execution time: mean = " - << to_human_readable(entry.second.cum_execution_time / - static_cast(entry.second.cum_count)) - << ", total = " - << to_human_readable(entry.second.cum_execution_time) - << ", Queueing time: mean = " - << to_human_readable(entry.second.cum_queue_time / - static_cast(entry.second.cum_count)) - << ", max = " << to_human_readable(entry.second.max_queue_time) - << ", min = " << to_human_readable(entry.second.min_queue_time) - << ", total = " << to_human_readable(entry.second.cum_queue_time); + double cum_execution_time_d = static_cast(entry.second.cum_execution_time); + double cum_count_d = static_cast(entry.second.cum_count); + double cum_queue_time_d = static_cast(entry.second.cum_queue_time); + event_stats_stream + << "), Execution time: mean = " << to_ms_str(cum_execution_time_d / cum_count_d) + << ", total = " << to_ms_str(cum_execution_time_d) + << ", Queueing time: mean = " << to_ms_str(cum_queue_time_d / cum_count_d) + << ", max = " << to_ms_str(static_cast(entry.second.max_queue_time)) + << ", min = " << to_ms_str(static_cast(entry.second.min_queue_time)) + << ", total = " << to_ms_str(cum_queue_time_d); } const auto global_stats = get_global_stats(); std::stringstream stats_stream; stats_stream << "\nGlobal stats: " << cum_count << " total (" << curr_count << " active)"; stats_stream << "\nQueueing time: mean = " - << to_human_readable(global_stats.cum_queue_time / - static_cast(cum_count)) - << ", max = " << to_human_readable(global_stats.max_queue_time) - << ", min = " << to_human_readable(global_stats.min_queue_time) - << ", total = " << to_human_readable(global_stats.cum_queue_time); + << to_ms_str(static_cast(global_stats.cum_queue_time) / + static_cast(cum_count)) + << ", max = " + << to_ms_str(static_cast(global_stats.max_queue_time)) + << ", min = " + << to_ms_str(static_cast(global_stats.min_queue_time)) + << ", total = " + << to_ms_str(static_cast(global_stats.cum_queue_time)); stats_stream << "\nExecution time: mean = " - << to_human_readable(cum_execution_time / static_cast(cum_count)) - << ", total = " << to_human_readable(cum_execution_time); + << to_ms_str(static_cast(cum_execution_time) / + static_cast(cum_count)) + << ", total = " << to_ms_str(static_cast(cum_execution_time)); stats_stream << "\nEvent stats:"; stats_stream << event_stats_stream.rdbuf(); return stats_stream.str(); diff --git a/src/ray/util/time.h b/src/ray/util/time.h index 473d2cb69356..060374e3d40b 100644 --- a/src/ray/util/time.h +++ b/src/ray/util/time.h @@ -30,6 +30,13 @@ inline int64_t current_time_ms() { return ms_since_epoch.count(); } +inline int64_t current_time_ns() { + std::chrono::nanoseconds ns_since_epoch = + std::chrono::duration_cast( + std::chrono::steady_clock::now().time_since_epoch()); + return ns_since_epoch.count(); +} + inline int64_t current_sys_time_ms() { std::chrono::milliseconds ms_since_epoch = std::chrono::duration_cast( From d078d136401d0f438d6ee9fe802b0d9988599f70 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 29 Sep 2025 10:48:08 -0700 Subject: [PATCH 1439/1566] [core][1ev-debt/02] implement even merge logic at export time (#56558) RayEvent provides a special API, merge, which allows multiple events to be combined into a single event. This reduces gRPC message size, network bandwidth usage, and is essential for scaling task event exports. This PR leverages that feature. Specifically, it clusters events into groups based on (i) entity ID and (ii) event type. Each group is merged into a single event, which is then added to the gRPC message body. The EntityId is a user-defined function, implemented by the event class creator, that determines which events can be safely merged. Test: - CI --------- Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/observability/ray_event_recorder.cc | 18 ++++++++++++--- .../tests/ray_event_recorder_test.cc | 23 +++++++++++++++++++ 2 files changed, 38 insertions(+), 3 deletions(-) diff --git a/src/ray/observability/ray_event_recorder.cc b/src/ray/observability/ray_event_recorder.cc index 4c80372c1d7e..e967d560819f 100644 --- a/src/ray/observability/ray_event_recorder.cc +++ b/src/ray/observability/ray_event_recorder.cc @@ -52,10 +52,22 @@ void RayEventRecorder::ExportEvents() { } rpc::events::AddEventsRequest request; rpc::events::RayEventsData ray_event_data; - // TODO(#56391): To further optimize the performance, we can merge multiple - // events with the same resource ID into a single event. + // group the event in the buffer_ by their entity id and type; then for each group, + // merge the events into a single event. + absl::flat_hash_map, + std::vector>> + event_groups; for (auto &event : buffer_) { - rpc::events::RayEvent ray_event = std::move(*event).Serialize(); + event_groups[{event->GetEntityId(), event->GetEventType()}].push_back( + std::move(event)); + } + for (auto &[entity_id_type, events] : event_groups) { + // merge the later event in the group into the first event, then add the merged + // event to the request. + for (size_t i = 1; i < events.size(); i++) { + events[0]->Merge(std::move(*events[i])); + } + rpc::events::RayEvent ray_event = std::move(*events[0]).Serialize(); *ray_event_data.mutable_events()->Add() = std::move(ray_event); } *request.mutable_events_data() = std::move(ray_event_data); diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 1d843e4deb8a..47562887f7cb 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -79,6 +79,29 @@ class RayEventRecorderTest : public ::testing::Test { size_t max_buffer_size_ = 5; }; +TEST_F(RayEventRecorderTest, TestMergeEvents) { + rpc::JobTableData data; + data.set_job_id("test_job_id"); + + std::vector> events; + events.push_back(std::make_unique( + data, rpc::events::DriverJobExecutionEvent::CREATED, "test_session_name")); + events.push_back(std::make_unique( + data, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name")); + recorder_->AddEvents(std::move(events)); + io_service_.run_one(); + + std::vector recorded_events = fake_client_->GetRecordedEvents(); + // Only one event should be recorded because the two events are merged into one. + ASSERT_EQ(recorded_events.size(), 1); + ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); + ASSERT_EQ(recorded_events[0].session_name(), "test_session_name"); + auto states = recorded_events[0].driver_job_execution_event().states(); + ASSERT_EQ(states.size(), 2); + ASSERT_EQ(states[0].state(), rpc::events::DriverJobExecutionEvent::CREATED); + ASSERT_EQ(states[1].state(), rpc::events::DriverJobExecutionEvent::FINISHED); +} + TEST_F(RayEventRecorderTest, TestRecordEvents) { rpc::JobTableData data1; data1.set_job_id("test_job_id_1"); From 7fc30fda54f8bdbf27ab5a1f4d2f0b5ec8f9d039 Mon Sep 17 00:00:00 2001 From: gangsf Date: Mon, 29 Sep 2025 10:52:49 -0700 Subject: [PATCH 1440/1566] Support azure and abfss in LLM config (#56441) Signed-off-by: Gang Zhao Co-authored-by: Gang Zhao Signed-off-by: Douglas Strodtman --- .../llm/_internal/common/utils/cloud_utils.py | 141 +++++- .../_internal/serve/configs/server_models.py | 4 +- .../tests/common/utils/test_cloud_utils.py | 427 ++++++++++++++++++ 3 files changed, 558 insertions(+), 14 deletions(-) diff --git a/python/ray/llm/_internal/common/utils/cloud_utils.py b/python/ray/llm/_internal/common/utils/cloud_utils.py index 0db75809efd5..36a930d00eb7 100644 --- a/python/ray/llm/_internal/common/utils/cloud_utils.py +++ b/python/ray/llm/_internal/common/utils/cloud_utils.py @@ -37,7 +37,12 @@ def is_remote_path(path: str) -> bool: Returns: True if the path is a remote path, False otherwise. """ - return path.startswith("s3://") or path.startswith("gs://") + return ( + path.startswith("s3://") + or path.startswith("gs://") + or path.startswith("abfss://") + or path.startswith("azure://") + ) class ExtraFiles(BaseModelExtended): @@ -46,10 +51,10 @@ class ExtraFiles(BaseModelExtended): class CloudMirrorConfig(BaseModelExtended): - """Unified mirror config for cloud storage (S3 or GCS). + """Unified mirror config for cloud storage (S3, GCS, or Azure). Args: - bucket_uri: URI of the bucket (s3:// or gs://) + bucket_uri: URI of the bucket (s3://, gs://, abfss://, or azure://) extra_files: Additional files to download """ @@ -65,19 +70,23 @@ def check_uri_format(cls, value): if not is_remote_path(value): raise ValueError( f'Got invalid value "{value}" for bucket_uri. ' - 'Expected a URI that starts with "s3://" or "gs://".' + 'Expected a URI that starts with "s3://", "gs://", "abfss://", or "azure://".' ) return value @property def storage_type(self) -> str: - """Returns the storage type ('s3' or 'gcs') based on the URI prefix.""" + """Returns the storage type ('s3', 'gcs', 'abfss', or 'azure') based on the URI prefix.""" if self.bucket_uri is None: return None elif self.bucket_uri.startswith("s3://"): return "s3" elif self.bucket_uri.startswith("gs://"): return "gcs" + elif self.bucket_uri.startswith("abfss://"): + return "abfss" + elif self.bucket_uri.startswith("azure://"): + return "azure" return None @@ -96,20 +105,26 @@ def check_uri_format(cls, value): if not is_remote_path(value): raise ValueError( f'Got invalid value "{value}" for bucket_uri. ' - 'Expected a URI that starts with "s3://" or "gs://".' + 'Expected a URI that starts with "s3://", "gs://", "abfss://", or "azure://".' ) return value @property def _bucket_name_and_path(self) -> str: - for prefix in ["s3://", "gs://"]: + for prefix in ["s3://", "gs://", "abfss://", "azure://"]: if self.bucket_uri.startswith(prefix): return self.bucket_uri[len(prefix) :] return self.bucket_uri @property def bucket_name(self) -> str: - return self._bucket_name_and_path.split("/")[0] + bucket_part = self._bucket_name_and_path.split("/")[0] + + # For ABFSS and Azure URIs, extract container name from container@account format + if self.bucket_uri.startswith(("abfss://", "azure://")) and "@" in bucket_part: + return bucket_part.split("@")[0] + + return bucket_part @property def bucket_path(self) -> str: @@ -120,7 +135,7 @@ class CloudFileSystem: """A unified interface for cloud file system operations using PyArrow. This class provides a simple interface for common operations on cloud storage - systems (S3, GCS) using PyArrow's filesystem interface. + systems (S3, GCS, Azure) using PyArrow's filesystem interface. """ @staticmethod @@ -128,7 +143,7 @@ def get_fs_and_path(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: """Get the appropriate filesystem and path from a URI. Args: - object_uri: URI of the file (s3:// or gs://) + object_uri: URI of the file (s3://, gs://, abfss://, or azure://) If URI contains 'anonymous@', anonymous access is used. Example: s3://anonymous@bucket/path @@ -136,9 +151,11 @@ def get_fs_and_path(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: Tuple of (filesystem, path) """ anonymous = False - # Check for anonymous access pattern + # Check for anonymous access pattern (only for S3/GCS) # e.g. s3://anonymous@bucket/path - if "@" in object_uri: + if "@" in object_uri and not ( + object_uri.startswith("abfss://") or object_uri.startswith("azure://") + ): parts = object_uri.split("@", 1) # Check if the first part ends with "anonymous" if parts[0].endswith("anonymous"): @@ -159,11 +176,111 @@ def get_fs_and_path(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: elif object_uri.startswith("gs://"): fs = pa_fs.GcsFileSystem(anonymous=anonymous) path = object_uri[5:] # Remove "gs://" + elif object_uri.startswith("abfss://"): + fs, path = CloudFileSystem._create_abfss_filesystem(object_uri) + elif object_uri.startswith("azure://"): + fs, path = CloudFileSystem._create_azure_filesystem(object_uri) else: raise ValueError(f"Unsupported URI scheme: {object_uri}") return fs, path + @staticmethod + def _create_azure_filesystem(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: + """Create an Azure filesystem for Azure Blob Storage or ABFSS. + + Args: + object_uri: Azure URI (azure://container@account.blob.core.windows.net/path or + abfss://container@account.dfs.core.windows.net/path) + + Returns: + Tuple of (PyArrow FileSystem, path without scheme prefix) + + Raises: + ImportError: If required dependencies are not installed. + ValueError: If the Azure URI format is invalid. + """ + try: + import adlfs + from azure.identity import DefaultAzureCredential + except ImportError: + raise ImportError( + "You must `pip install adlfs azure-identity` " + "to use Azure/ABFSS URIs. " + "Note that these must be preinstalled on all nodes in the Ray cluster." + ) + + from urllib.parse import urlparse + + # Parse and validate the Azure URI + parsed = urlparse(object_uri) + scheme = parsed.scheme.lower() + + # Validate URI format: scheme://container@account.domain/path + if not parsed.netloc or "@" not in parsed.netloc: + raise ValueError( + f"Invalid {scheme.upper()} URI format - missing container@account: {object_uri}" + ) + + container_part, hostname_part = parsed.netloc.split("@", 1) + + # Validate container name (must be non-empty) + if not container_part: + raise ValueError( + f"Invalid {scheme.upper()} URI format - empty container name: {object_uri}" + ) + + # Validate hostname format based on scheme + valid_hostname = False + if scheme == "abfss": + valid_hostname = hostname_part.endswith(".dfs.core.windows.net") + expected_domains = ".dfs.core.windows.net" + elif scheme == "azure": + valid_hostname = hostname_part.endswith( + ".blob.core.windows.net" + ) or hostname_part.endswith(".dfs.core.windows.net") + expected_domains = ".blob.core.windows.net or .dfs.core.windows.net" + + if not hostname_part or not valid_hostname: + raise ValueError( + f"Invalid {scheme.upper()} URI format - invalid hostname (must end with {expected_domains}): {object_uri}" + ) + + # Extract and validate account name + azure_storage_account_name = hostname_part.split(".")[0] + if not azure_storage_account_name: + raise ValueError( + f"Invalid {scheme.upper()} URI format - empty account name: {object_uri}" + ) + + # Create the adlfs filesystem + adlfs_fs = adlfs.AzureBlobFileSystem( + account_name=azure_storage_account_name, + credential=DefaultAzureCredential(), + ) + + # Wrap with PyArrow's PyFileSystem for compatibility + fs = pa_fs.PyFileSystem(pa_fs.FSSpecHandler(adlfs_fs)) + + # Return the path without the scheme prefix + path = f"{container_part}{parsed.path}" + + return fs, path + + @staticmethod + def _create_abfss_filesystem(object_uri: str) -> Tuple[pa_fs.FileSystem, str]: + """Create an ABFSS filesystem for Azure Data Lake Storage Gen2. + + This is a wrapper around _create_azure_filesystem for backward compatibility. + + Args: + object_uri: ABFSS URI (abfss://container@account.dfs.core.windows.net/path) + + Returns: + Tuple of (PyArrow FileSystem, path without abfss:// prefix) + """ + return CloudFileSystem._create_azure_filesystem(object_uri) + @staticmethod def get_file( object_uri: str, decode_as_utf_8: bool = True diff --git a/python/ray/llm/_internal/serve/configs/server_models.py b/python/ray/llm/_internal/serve/configs/server_models.py index d7a7b9af9f75..f5b00f90adf1 100644 --- a/python/ray/llm/_internal/serve/configs/server_models.py +++ b/python/ray/llm/_internal/serve/configs/server_models.py @@ -103,8 +103,8 @@ def validate_dynamic_lora_loading_path(cls, value: Optional[str]): return value assert is_remote_path(value), ( - "Only AWS S3 and Google Cloud Storage are supported. The " - 'dynamic_lora_loading_path must start with "s3://" or "gs://". ' + "Only AWS S3, Google Cloud Storage, and Azure Storage are supported. The " + 'dynamic_lora_loading_path must start with "s3://", "gs://", "abfss://", or "azure://". ' f'Got "{value}" instead.' ) return value.rstrip("/") diff --git a/python/ray/llm/tests/common/utils/test_cloud_utils.py b/python/ray/llm/tests/common/utils/test_cloud_utils.py index df3314bd29d3..d11ce5b683f5 100644 --- a/python/ray/llm/tests/common/utils/test_cloud_utils.py +++ b/python/ray/llm/tests/common/utils/test_cloud_utils.py @@ -10,7 +10,10 @@ from ray.llm._internal.common.utils.cloud_utils import ( CloudFileSystem, + CloudMirrorConfig, CloudObjectCache, + LoraMirrorConfig, + is_remote_path, remote_object_cache, ) @@ -504,5 +507,429 @@ def test_upload_model(self, mock_copy_files): ) +class TestIsRemotePath: + """Tests for the is_remote_path utility function.""" + + def test_s3_paths(self): + """Test S3 path detection.""" + assert is_remote_path("s3://bucket/path") is True + assert is_remote_path("s3://bucket") is True + assert is_remote_path("s3://anonymous@bucket/path") is True + + def test_gcs_paths(self): + """Test GCS path detection.""" + assert is_remote_path("gs://bucket/path") is True + assert is_remote_path("gs://bucket") is True + assert is_remote_path("gs://anonymous@bucket/path") is True + + def test_abfss_paths(self): + """Test ABFSS path detection.""" + assert ( + is_remote_path("abfss://container@account.dfs.core.windows.net/path") + is True + ) + assert is_remote_path("abfss://container@account.dfs.core.windows.net") is True + + def test_azure_paths(self): + """Test Azure path detection.""" + assert ( + is_remote_path("azure://container@account.blob.core.windows.net/path") + is True + ) + assert ( + is_remote_path("azure://container@account.dfs.core.windows.net/path") + is True + ) + + def test_local_paths(self): + """Test local path detection.""" + assert is_remote_path("/local/path") is False + assert is_remote_path("./relative/path") is False + assert is_remote_path("file:///local/path") is False + assert is_remote_path("http://example.com") is False + + +class TestCloudMirrorConfig: + """Tests for the CloudMirrorConfig class.""" + + def test_valid_s3_uri(self): + """Test valid S3 URI.""" + config = CloudMirrorConfig(bucket_uri="s3://my-bucket/path") + assert config.bucket_uri == "s3://my-bucket/path" + assert config.storage_type == "s3" + + def test_valid_gcs_uri(self): + """Test valid GCS URI.""" + config = CloudMirrorConfig(bucket_uri="gs://my-bucket/path") + assert config.bucket_uri == "gs://my-bucket/path" + assert config.storage_type == "gcs" + + def test_valid_abfss_uri(self): + """Test valid ABFSS URI.""" + config = CloudMirrorConfig( + bucket_uri="abfss://container@account.dfs.core.windows.net/path" + ) + assert ( + config.bucket_uri == "abfss://container@account.dfs.core.windows.net/path" + ) + assert config.storage_type == "abfss" + + def test_valid_azure_uri(self): + """Test valid Azure URI.""" + config = CloudMirrorConfig( + bucket_uri="azure://container@account.blob.core.windows.net/path" + ) + assert ( + config.bucket_uri == "azure://container@account.blob.core.windows.net/path" + ) + assert config.storage_type == "azure" + + def test_none_uri(self): + """Test None URI.""" + config = CloudMirrorConfig(bucket_uri=None) + assert config.bucket_uri is None + assert config.storage_type is None + + def test_invalid_uri(self): + """Test invalid URI.""" + with pytest.raises( + ValueError, match='Got invalid value "file:///tmp" for bucket_uri' + ): + CloudMirrorConfig(bucket_uri="file:///tmp") + + def test_extra_files(self): + """Test extra files configuration.""" + config = CloudMirrorConfig( + bucket_uri="s3://bucket/path", + extra_files=[ + {"bucket_uri": "s3://bucket/file1", "destination_path": "/dest1"}, + {"bucket_uri": "s3://bucket/file2", "destination_path": "/dest2"}, + ], + ) + assert len(config.extra_files) == 2 + assert config.extra_files[0].bucket_uri == "s3://bucket/file1" + assert config.extra_files[0].destination_path == "/dest1" + + +class TestLoraMirrorConfig: + """Tests for the LoraMirrorConfig class.""" + + def test_valid_s3_config(self): + """Test valid S3 LoRA config.""" + config = LoraMirrorConfig( + lora_model_id="test-model", + bucket_uri="s3://my-bucket/lora-models", + max_total_tokens=1000, + ) + assert config.lora_model_id == "test-model" + assert config.bucket_uri == "s3://my-bucket/lora-models" + assert config.bucket_name == "my-bucket" + assert config.bucket_path == "lora-models" + + def test_valid_abfss_config(self): + """Test valid ABFSS LoRA config.""" + config = LoraMirrorConfig( + lora_model_id="test-model", + bucket_uri="abfss://container@account.dfs.core.windows.net/lora/models", + max_total_tokens=1000, + ) + assert config.lora_model_id == "test-model" + assert ( + config.bucket_uri + == "abfss://container@account.dfs.core.windows.net/lora/models" + ) + assert config.bucket_name == "container" + assert config.bucket_path == "lora/models" + + def test_valid_azure_config(self): + """Test valid Azure LoRA config.""" + config = LoraMirrorConfig( + lora_model_id="test-model", + bucket_uri="azure://container@account.blob.core.windows.net/lora/models", + max_total_tokens=1000, + ) + assert config.lora_model_id == "test-model" + assert ( + config.bucket_uri + == "azure://container@account.blob.core.windows.net/lora/models" + ) + assert config.bucket_name == "container" + assert config.bucket_path == "lora/models" + + def test_bucket_path_parsing(self): + """Test bucket path parsing for different URI formats.""" + # S3 with multiple path segments + config = LoraMirrorConfig( + lora_model_id="test", + bucket_uri="s3://bucket/path/to/model", + max_total_tokens=1000, + ) + assert config.bucket_name == "bucket" + assert config.bucket_path == "path/to/model" + + # ABFSS with multiple path segments + config = LoraMirrorConfig( + lora_model_id="test", + bucket_uri="abfss://container@account.dfs.core.windows.net/deep/nested/path", + max_total_tokens=1000, + ) + assert config.bucket_name == "container" + assert config.bucket_path == "deep/nested/path" + + def test_invalid_uri(self): + """Test invalid URI in LoRA config.""" + with pytest.raises( + ValueError, match='Got invalid value "file:///tmp" for bucket_uri' + ): + LoraMirrorConfig( + lora_model_id="test-model", + bucket_uri="file:///tmp", + max_total_tokens=1000, + ) + + def test_optional_fields(self): + """Test optional fields in LoRA config.""" + config = LoraMirrorConfig( + lora_model_id="test-model", + bucket_uri="s3://bucket/path", + max_total_tokens=1000, + sync_args=["--exclude", "*.tmp"], + ) + assert config.max_total_tokens == 1000 + assert config.sync_args == ["--exclude", "*.tmp"] + + +class TestCloudFileSystemAzureSupport: + """Tests for Azure/ABFSS support in CloudFileSystem.""" + + @patch("adlfs.AzureBlobFileSystem") + @patch("azure.identity.DefaultAzureCredential") + @patch("pyarrow.fs.PyFileSystem") + @patch("pyarrow.fs.FSSpecHandler") + def test_get_fs_and_path_abfss( + self, mock_handler, mock_pyfs, mock_cred, mock_adlfs + ): + """Test getting ABFSS filesystem and path.""" + mock_adlfs_instance = MagicMock() + mock_adlfs.return_value = mock_adlfs_instance + mock_pyfs_instance = MagicMock() + mock_pyfs.return_value = mock_pyfs_instance + + fs, path = CloudFileSystem.get_fs_and_path( + "abfss://container@account.dfs.core.windows.net/path/to/file" + ) + + assert fs == mock_pyfs_instance + assert path == "container/path/to/file" + + # Verify the adlfs filesystem was created with correct parameters + mock_adlfs.assert_called_once_with( + account_name="account", credential=mock_cred.return_value + ) + mock_handler.assert_called_once_with(mock_adlfs_instance) + mock_pyfs.assert_called_once_with(mock_handler.return_value) + + @patch("adlfs.AzureBlobFileSystem") + @patch("azure.identity.DefaultAzureCredential") + @patch("pyarrow.fs.PyFileSystem") + @patch("pyarrow.fs.FSSpecHandler") + def test_get_fs_and_path_azure( + self, mock_handler, mock_pyfs, mock_cred, mock_adlfs + ): + """Test getting Azure filesystem and path.""" + mock_adlfs_instance = MagicMock() + mock_adlfs.return_value = mock_adlfs_instance + mock_pyfs_instance = MagicMock() + mock_pyfs.return_value = mock_pyfs_instance + + fs, path = CloudFileSystem.get_fs_and_path( + "azure://container@account.blob.core.windows.net/path/to/file" + ) + + assert fs == mock_pyfs_instance + assert path == "container/path/to/file" + + # Verify the adlfs filesystem was created with correct parameters + mock_adlfs.assert_called_once_with( + account_name="account", credential=mock_cred.return_value + ) + + def test_abfss_uri_validation(self): + """Test ABFSS URI validation.""" + # Test valid URIs + valid_uris = [ + "abfss://container@account.dfs.core.windows.net/path", + "abfss://my-container@myaccount.dfs.core.windows.net/deep/nested/path", + ] + + for uri in valid_uris: + with patch("adlfs.AzureBlobFileSystem"), patch( + "azure.identity.DefaultAzureCredential" + ), patch("pyarrow.fs.PyFileSystem"), patch("pyarrow.fs.FSSpecHandler"): + # Should not raise an exception + CloudFileSystem._create_abfss_filesystem(uri) + + # Test invalid URIs + invalid_uris = [ + "abfss://container", # Missing @account + "abfss://@account.dfs.core.windows.net/path", # Empty container + "abfss://container@account.wrong.domain/path", # Wrong domain + "abfss://container@.dfs.core.windows.net/path", # Empty account + "abfss://container@account.dfs.core.windows.net", # No path (but this is actually valid) + ] + + for uri in invalid_uris[:-1]: # Skip the last one as it's actually valid + with pytest.raises(ValueError): + CloudFileSystem._create_abfss_filesystem(uri) + + def test_azure_uri_validation(self): + """Test Azure URI validation.""" + # Test valid URIs + valid_uris = [ + "azure://container@account.blob.core.windows.net/path", + "azure://container@account.dfs.core.windows.net/path", + "azure://my-container@myaccount.blob.core.windows.net/deep/nested/path", + ] + + for uri in valid_uris: + with patch("adlfs.AzureBlobFileSystem"), patch( + "azure.identity.DefaultAzureCredential" + ), patch("pyarrow.fs.PyFileSystem"), patch("pyarrow.fs.FSSpecHandler"): + # Should not raise an exception + CloudFileSystem._create_azure_filesystem(uri) + + # Test invalid URIs + invalid_uris = [ + "azure://container", # Missing @account + "azure://@account.blob.core.windows.net/path", # Empty container + "azure://container@account.wrong.domain/path", # Wrong domain + "azure://container@.blob.core.windows.net/path", # Empty account + ] + + for uri in invalid_uris: + with pytest.raises(ValueError): + CloudFileSystem._create_azure_filesystem(uri) + + def test_abfss_import_error(self): + """Test ImportError when adlfs is not available.""" + with patch( + "builtins.__import__", side_effect=ImportError("No module named 'adlfs'") + ): + with pytest.raises( + ImportError, match="You must `pip install adlfs azure-identity`" + ): + CloudFileSystem._create_abfss_filesystem( + "abfss://container@account.dfs.core.windows.net/path" + ) + + def test_azure_import_error(self): + """Test ImportError when adlfs is not available for Azure.""" + with patch( + "builtins.__import__", side_effect=ImportError("No module named 'adlfs'") + ): + with pytest.raises( + ImportError, match="You must `pip install adlfs azure-identity`" + ): + CloudFileSystem._create_azure_filesystem( + "azure://container@account.blob.core.windows.net/path" + ) + + @patch("adlfs.AzureBlobFileSystem") + @patch("azure.identity.DefaultAzureCredential") + @patch("pyarrow.fs.PyFileSystem") + @patch("pyarrow.fs.FSSpecHandler") + def test_abfss_anonymous_access_ignored( + self, mock_handler, mock_pyfs, mock_cred, mock_adlfs + ): + """Test that anonymous access pattern is ignored for ABFSS URIs.""" + mock_adlfs_instance = MagicMock() + mock_adlfs.return_value = mock_adlfs_instance + mock_pyfs_instance = MagicMock() + mock_pyfs.return_value = mock_pyfs_instance + + # ABFSS URI with @ symbol should not trigger anonymous access logic + fs, path = CloudFileSystem.get_fs_and_path( + "abfss://container@account.dfs.core.windows.net/path" + ) + + assert fs == mock_pyfs_instance + assert path == "container/path" + + # Verify that DefaultAzureCredential was used, not anonymous access + mock_cred.assert_called_once() + mock_adlfs.assert_called_once_with( + account_name="account", credential=mock_cred.return_value + ) + + @patch("adlfs.AzureBlobFileSystem") + @patch("azure.identity.DefaultAzureCredential") + @patch("pyarrow.fs.PyFileSystem") + @patch("pyarrow.fs.FSSpecHandler") + def test_get_file_abfss(self, mock_handler, mock_pyfs, mock_cred, mock_adlfs): + """Test getting a file from ABFSS storage.""" + # Setup mock filesystem and file + mock_adlfs_instance = MagicMock() + mock_adlfs.return_value = mock_adlfs_instance + mock_fs = MagicMock() + mock_pyfs.return_value = mock_fs + + # Mock file content and info + mock_file = MagicMock() + mock_file.read.return_value = b"test abfss content" + mock_fs.open_input_file.return_value.__enter__.return_value = mock_file + mock_fs.get_file_info.return_value.type = pa_fs.FileType.File + + # Test getting file as string (default) + content = CloudFileSystem.get_file( + "abfss://container@account.dfs.core.windows.net/test.txt" + ) + assert content == "test abfss content" + + # Verify the correct path was used + mock_fs.get_file_info.assert_called_with("container/test.txt") + mock_fs.open_input_file.assert_called_with("container/test.txt") + + @patch("adlfs.AzureBlobFileSystem") + @patch("azure.identity.DefaultAzureCredential") + @patch("pyarrow.fs.PyFileSystem") + @patch("pyarrow.fs.FSSpecHandler") + def test_list_subfolders_abfss( + self, mock_handler, mock_pyfs, mock_cred, mock_adlfs + ): + """Test listing subfolders in ABFSS storage.""" + # Setup mock filesystem + mock_adlfs_instance = MagicMock() + mock_adlfs.return_value = mock_adlfs_instance + mock_fs = MagicMock() + mock_pyfs.return_value = mock_fs + + # Create mock file infos for directory listing + dir1 = MagicMock() + dir1.type = pa_fs.FileType.Directory + dir1.path = "container/parent/subdir1" + + dir2 = MagicMock() + dir2.type = pa_fs.FileType.Directory + dir2.path = "container/parent/subdir2" + + file1 = MagicMock() + file1.type = pa_fs.FileType.File + file1.path = "container/parent/file.txt" + + mock_fs.get_file_info.return_value = [dir1, dir2, file1] + + # Test listing subfolders + folders = CloudFileSystem.list_subfolders( + "abfss://container@account.dfs.core.windows.net/parent" + ) + assert sorted(folders) == ["subdir1", "subdir2"] + + # Verify the correct path was used + mock_fs.get_file_info.assert_called_once() + call_args = mock_fs.get_file_info.call_args[0][0] + assert call_args.base_dir == "container/parent/" + assert call_args.recursive is False + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) From e789778264a3eeaa4573f208ed7d01dc3d707295 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Mon, 29 Sep 2025 12:58:59 -0500 Subject: [PATCH 1441/1566] [core] Clean up some `gcs_actor_scheduler.cc` logs (#57003) Cleaning up some log messages and standardizing on `WithField`. --------- Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_actor_scheduler.cc | 60 ++++++++++++++++-------------- 1 file changed, 32 insertions(+), 28 deletions(-) diff --git a/src/ray/gcs/gcs_actor_scheduler.cc b/src/ray/gcs/gcs_actor_scheduler.cc index 5736d7e576c2..248105b429e9 100644 --- a/src/ray/gcs/gcs_actor_scheduler.cc +++ b/src/ray/gcs/gcs_actor_scheduler.cc @@ -294,8 +294,11 @@ void GcsActorScheduler::LeaseWorkerFromNode( RAY_CHECK(actor && node); auto node_id = NodeID::FromBinary(node->node_id()); - RAY_LOG(INFO) << "Start leasing worker from node " << node_id << " for actor " - << actor->GetActorID() << ", job id = " << actor->GetActorID().JobId(); + RAY_LOG(INFO) + .WithField(actor->GetActorID()) + .WithField(actor->GetActorID().JobId()) + .WithField(node_id) + << "Leasing worker for actor."; // We need to ensure that the RequestWorkerLease won't be sent before the reply of // ReleaseUnusedActorWorkers is returned. @@ -343,9 +346,6 @@ void GcsActorScheduler::DoRetryLeasingWorkerFromNode( // `CancelOnNode`, `RequestWorkerLeaseReply` or `CancelOnLeasing` is received, so try // leasing again. if (iter->second.count(actor->GetActorID())) { - RAY_LOG(INFO) << "Retry leasing worker from " << actor->GetNodeID() << " for actor " - << actor->GetActorID() - << ", job id = " << actor->GetActorID().JobId(); LeaseWorkerFromNode(actor, node); } } @@ -419,13 +419,12 @@ void GcsActorScheduler::HandleRequestWorkerLeaseCanceled( const NodeID &node_id, rpc::RequestWorkerLeaseReply::SchedulingFailureType failure_type, const std::string &scheduling_failure_message) { - RAY_LOG(INFO) << "The lease worker request from node " << node_id << " for actor " - << actor->GetActorID() << "(" - << actor->GetLeaseSpecification().FunctionDescriptor()->CallString() - << ")" - << " has been canceled, job id = " << actor->GetActorID().JobId() - << ", cancel type: " - << rpc::RequestWorkerLeaseReply::SchedulingFailureType_Name(failure_type); + RAY_LOG(INFO) + .WithField(actor->GetActorID()) + .WithField(actor->GetActorID().JobId()) + .WithField(node_id) + << "Lease request was canceled: " + << rpc::RequestWorkerLeaseReply::SchedulingFailureType_Name(failure_type); schedule_failure_handler_(actor, failure_type, scheduling_failure_message); } @@ -433,9 +432,13 @@ void GcsActorScheduler::HandleRequestWorkerLeaseCanceled( void GcsActorScheduler::CreateActorOnWorker(std::shared_ptr actor, std::shared_ptr worker) { RAY_CHECK(actor && worker); - RAY_LOG(INFO) << "Start creating actor " << actor->GetActorID() << " on worker " - << worker->GetWorkerID() << " at node " << actor->GetNodeID() - << ", job id = " << actor->GetActorID().JobId(); + RAY_LOG(INFO) + .WithField(actor->GetActorID()) + .WithField(worker->GetWorkerID()) + .WithField(actor->GetNodeID()) + .WithField(actor->GetActorID().JobId()) + << "Submitting actor creation task to worker."; + auto request = std::make_unique(); request->set_intended_worker_id(worker->GetWorkerID().Binary()); request->mutable_task_spec()->CopyFrom( @@ -468,12 +471,20 @@ void GcsActorScheduler::CreateActorOnWorker(std::shared_ptr actor, if (iter->second.empty()) { node_to_workers_when_creating_.erase(iter); } - RAY_LOG(INFO) << "Finished actor creation task for actor " - << actor->GetActorID() << " on worker " - << worker->GetWorkerID() << " at node " << actor->GetNodeID() - << ", job id = " << actor->GetActorID().JobId(); + RAY_LOG(INFO) + .WithField(actor->GetActorID()) + .WithField(worker->GetWorkerID()) + .WithField(actor->GetActorID().JobId()) + .WithField(actor->GetNodeID()) + << "Actor creation task succeeded."; schedule_success_handler_(actor, reply); } else { + RAY_LOG(INFO) + .WithField(actor->GetActorID()) + .WithField(worker->GetWorkerID()) + .WithField(actor->GetActorID().JobId()) + .WithField(actor->GetNodeID()) + << "Actor creation task failed, will be retried."; RetryCreatingActorOnWorker(actor, worker); } } @@ -507,9 +518,6 @@ void GcsActorScheduler::DoRetryCreatingActorOnWorker( // The worker is still in the creating map, try create again. // The worker is erased from creating map only when `CancelOnNode` // or `CancelOnWorker` or the actor is created successfully. - RAY_LOG(INFO) << "Retry creating actor " << actor->GetActorID() << " on worker " - << worker->GetWorkerID() << " at node " << actor->GetNodeID() - << ", job id = " << actor->GetActorID().JobId(); CreateActorOnWorker(actor, worker); } } @@ -567,12 +575,8 @@ void GcsActorScheduler::HandleWorkerLeaseReply( auto actor_iter = iter->second.find(actor->GetActorID()); if (actor_iter == iter->second.end()) { // if actor is not in leasing state, it means it is cancelled. - RAY_LOG(INFO) - << "Raylet granted a lease request, but the outstanding lease " - "request for " - << actor->GetActorID() - << " has been already cancelled. The response will be ignored. Job id = " - << actor->GetActorID().JobId(); + RAY_LOG(INFO).WithField(actor->GetActorID()).WithField(actor->GetActorID().JobId()) + << "Ignoring granted lease for canceled lease request."; if (actor->GetState() == rpc::ActorTableData::DEAD) { // If the actor has been killed, we need to kill the worker too // otherwise, the worker will be leaked. From b9eeb384ab031a6d2d63ec7a3499626c44772103 Mon Sep 17 00:00:00 2001 From: Jiajun Yao Date: Tue, 30 Sep 2025 03:20:35 +0800 Subject: [PATCH 1442/1566] Add CODEOWNER for dashboard serve and data modules (#57006) Signed-off-by: Jiajun Yao Signed-off-by: Douglas Strodtman --- .github/CODEOWNERS | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index da43c939515c..d797687feeb0 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -44,6 +44,7 @@ # Ray data. /python/ray/data/ @ray-project/ray-data /doc/source/data/ @ray-project/ray-data +/python/ray/dashboard/modules/data/ @ray-project/ray-data /python/ray/dashboard/modules/metrics/dashboards/data_dashboard_panels.py @ray-project/ray-data # Ray workflows. @@ -72,6 +73,7 @@ # Ray Serve /python/ray/serve/ @ray-project/ray-serve /src/ray/protobuf/serve.proto @ray-project/ray-serve +/python/ray/dashboard/modules/serve/ @ray-project/ray-serve /doc/source/serve/ @ray-project/ray-serve @ray-project/ray-docs # ML Docker Dependencies From 9834962e509cf232bca7d34f96f428ae050722ac Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 29 Sep 2025 13:43:55 -0700 Subject: [PATCH 1443/1566] [ci] use --no-deps to avoid installing dependencies (#56979) python dependencies are already installed in the CI images and do not need to be reinstalled. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/ray_ci/tests.env.Dockerfile | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 904354927cbc..984863794b70 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -64,16 +64,22 @@ echo "--- Build dashboard" echo "--- Install Ray with -e" + +# Dependencies are already installed in the base CI images. +# So we use --no-deps to avoid reinstalling them. + +INSTALL_FLAGS=(--no-deps --force-reinstall -v -e) + if [[ "$BUILD_TYPE" == "debug" ]]; then - RAY_DEBUG_BUILD=debug pip install -v -e python/ + RAY_DEBUG_BUILD=debug pip install "${INSTALL_FLAGS[@]}" python/ elif [[ "$BUILD_TYPE" == "asan" ]]; then - pip install -v -e python/ + pip install "${INSTALL_FLAGS[@]}" python/ bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux - RAY_INSTALL_JAVA=1 pip install -v -e python/ + RAY_INSTALL_JAVA=1 pip install "${INSTALL_FLAGS[@]}" python/ else - pip install -v -e python/ + pip install "${INSTALL_FLAGS[@]}" python/ fi EOF From 371bfc1edfad75185c089368dbb578d8a6b063a1 Mon Sep 17 00:00:00 2001 From: Timothy Seah Date: Mon, 29 Sep 2025 14:17:17 -0700 Subject: [PATCH 1444/1566] [train][checkpoint] Add validate_function and validate_config to ray.train.report (#56360) The main change here is: * Train workers report validation function + validation config * Controller kicks off validation Ray task and associates its return value with the relevant checkpoint. * Main controller step polls workers and validations, only finishing when both are done. --------- Signed-off-by: Timothy Seah Signed-off-by: Douglas Strodtman --- ci/lint/pydoclint-baseline.txt | 58 ------ .../ray/train/_internal/checkpoint_manager.py | 43 ++-- python/ray/train/v2/BUILD.bazel | 20 +- .../v2/_internal/callbacks/user_callback.py | 10 +- .../train/v2/_internal/execution/callback.py | 7 +- .../checkpoint/checkpoint_manager.py | 92 ++++++-- .../execution/checkpoint/report_handler.py | 42 ++-- .../checkpoint/validation_manager.py | 141 +++++++++++++ .../train/v2/_internal/execution/context.py | 76 ++++--- .../execution/controller/controller.py | 15 +- .../v2/_internal/execution/train_fn_utils.py | 14 +- .../v2/_internal/execution/training_report.py | 36 ++++ .../_internal/execution/worker_group/poll.py | 4 +- .../execution/worker_group/worker.py | 8 +- .../execution/worker_group/worker_group.py | 4 +- python/ray/train/v2/api/train_fn_utils.py | 14 +- ...=> test_async_checkpointing_validation.py} | 121 ++++++++++- .../train/v2/tests/test_checkpoint_manager.py | 170 ++++++++++++--- .../v2/tests/test_data_parallel_trainer.py | 2 +- .../ray/train/v2/tests/test_report_handler.py | 22 +- .../train/v2/tests/test_validation_manager.py | 196 ++++++++++++++++++ .../ray/train/v2/tests/test_worker_group.py | 2 +- python/ray/train/v2/tests/util.py | 34 ++- 23 files changed, 931 insertions(+), 200 deletions(-) create mode 100644 python/ray/train/v2/_internal/execution/checkpoint/validation_manager.py create mode 100644 python/ray/train/v2/_internal/execution/training_report.py rename python/ray/train/v2/tests/{test_async_checkpointing.py => test_async_checkpointing_validation.py} (67%) create mode 100644 python/ray/train/v2/tests/test_validation_manager.py diff --git a/ci/lint/pydoclint-baseline.txt b/ci/lint/pydoclint-baseline.txt index 062694332625..c9dbace88f8f 100644 --- a/ci/lint/pydoclint-baseline.txt +++ b/ci/lint/pydoclint-baseline.txt @@ -1813,8 +1813,6 @@ python/ray/train/_internal/backend_executor.py DOC107: Method `BackendExecutor.get_with_failure_handling`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints -------------------- python/ray/train/_internal/checkpoint_manager.py - DOC101: Function `_insert_into_sorted_list`: Docstring contains fewer arguments than in function signature. - DOC103: Function `_insert_into_sorted_list`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [item: Any, key: Callable[[Any], Any], list: List[Any]]. DOC103: Method `_CheckpointManager.register_checkpoint`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint_result: _TrainingResult]. Arguments in the docstring but not in the function signature: [checkpoint: ]. DOC101: Method `_CheckpointManager._get_checkpoint_score`: Docstring contains fewer arguments than in function signature. DOC103: Method `_CheckpointManager._get_checkpoint_score`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint: _TrainingResult]. @@ -1960,9 +1958,6 @@ python/ray/train/v2/_internal/callbacks/accelerators.py DOC101: Function `_get_visible_accelerator_ids_per_worker`: Docstring contains fewer arguments than in function signature. DOC103: Function `_get_visible_accelerator_ids_per_worker`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [accelerator_name: str, worker_metadatas: List[ActorMetadata]]. -------------------- -python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py - DOC103: Method `CheckpointManager.register_checkpoint`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [checkpoint_result: _TrainingResult]. Arguments in the docstring but not in the function signature: [checkpoint: ]. --------------------- python/ray/train/v2/_internal/execution/storage.py DOC101: Method `_ExcludingLocalFilesystem.__init__`: Docstring contains fewer arguments than in function signature. DOC103: Method `_ExcludingLocalFilesystem.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [**kwargs: ]. @@ -2437,59 +2432,6 @@ python/ray/util/collective/collective_group/cuda_stream.py DOC106: Method `StreamPool.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `StreamPool.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints -------------------- -python/ray/util/collective/collective_group/gloo_collective_group.py - DOC101: Method `Rendezvous.__init__`: Docstring contains fewer arguments than in function signature. - DOC106: Method `Rendezvous.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `Rendezvous.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Method `Rendezvous.__init__`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [context: , device_type: , store_type: ]. - DOC106: Method `Rendezvous.meet`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `Rendezvous.meet`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Method `GLOOGroup.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Method `GLOOGroup.allreduce`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.allreduce`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC103: Method `GLOOGroup.allreduce`: Docstring arguments are different from function arguments. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Arguments in the function signature but not in the docstring: [tensors: ]. Arguments in the docstring but not in the function signature: [tensor: ]. - DOC202: Method `GLOOGroup.allreduce` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.barrier`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.barrier`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup.barrier` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.reduce`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.reduce`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup.reduce` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.broadcast`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.broadcast`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup.broadcast` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.allgather`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.allgather`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC111: Method `GLOOGroup.allgather`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list - DOC202: Method `GLOOGroup.allgather` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.reducescatter`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.reducescatter`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC111: Method `GLOOGroup.reducescatter`: The option `--arg-type-hints-in-docstring` is `False` but there are type hints in the docstring arg list - DOC202: Method `GLOOGroup.reducescatter` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.send`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.send`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup.send` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup.recv`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup.recv`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup.recv` has a return section in docstring, but there are no return statements or annotations - DOC106: Method `GLOOGroup._collective`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Method `GLOOGroup._collective`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup._collective` has a return section in docstring, but there are no return statements or annotations - DOC107: Method `GLOOGroup._point2point`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Method `GLOOGroup._point2point` has a return section in docstring, but there are no return statements or annotations - DOC106: Function `_flatten_for_scatter_gather`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `_flatten_for_scatter_gather`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints --------------------- -python/ray/util/collective/collective_group/gloo_util.py - DOC106: Function `create_gloo_context`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `create_gloo_context`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `get_gloo_reduce_op`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `get_gloo_reduce_op`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC106: Function `copy_tensor`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature - DOC107: Function `copy_tensor`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints - DOC202: Function `copy_tensor` has a return section in docstring, but there are no return statements or annotations --------------------- python/ray/util/collective/collective_group/nccl_collective_group.py DOC106: Method `Rendezvous.__init__`: The option `--arg-type-hints-in-signature` is `True` but there are no argument type hints in the signature DOC107: Method `Rendezvous.__init__`: The option `--arg-type-hints-in-signature` is `True` but not all args in the signature have type hints diff --git a/python/ray/train/_internal/checkpoint_manager.py b/python/ray/train/_internal/checkpoint_manager.py index 845b146a012a..705d34843acc 100644 --- a/python/ray/train/_internal/checkpoint_manager.py +++ b/python/ray/train/_internal/checkpoint_manager.py @@ -1,12 +1,12 @@ import logging import numbers -from typing import Any, Callable, List, Optional, Tuple +from typing import Any, Callable, Dict, List, Optional, Tuple from ray._private import ray_constants from ray._private.dict import flatten_dict from ray.air._internal.util import is_nan from ray.air.config import MAX -from ray.train import CheckpointConfig +from ray.train import Checkpoint, CheckpointConfig from ray.train._internal.session import _TrainingResult from ray.train._internal.storage import _delete_fs_path from ray.train.constants import TUNE_ONLY_STORE_CHECKPOINT_SCORE_ATTRIBUTE @@ -14,29 +14,32 @@ logger = logging.getLogger(__name__) -def _insert_into_sorted_list(list: List[Any], item: Any, key: Callable[[Any], Any]): +def _insert_into_sorted_list( + list: List[_TrainingResult], + item: _TrainingResult, + key: Callable[[_TrainingResult], Any], + checkpoint_to_report_index: Optional[Dict[Checkpoint, int]] = None, +): """Insert an item into a sorted list with a custom key function. - Examples: - - >>> list = [] - >>> _insert_into_sorted_list(list, {"a": 1, "b": 0}, lambda x: x["a"]) - >>> list - [{'a': 1, 'b': 0}] - >>> _insert_into_sorted_list(list, {"a": 3, "b": 1}, lambda x: x["a"]) - >>> list - [{'a': 1, 'b': 0}, {'a': 3, 'b': 1}] - >>> _insert_into_sorted_list(list, {"a": 4, "b": 2}, lambda x: x["a"]) - >>> list - [{'a': 1, 'b': 0}, {'a': 3, 'b': 1}, {'a': 4, 'b': 2}] - >>> _insert_into_sorted_list(list, {"a": 1, "b": 3}, lambda x: x["a"]) - >>> list - [{'a': 1, 'b': 0}, {'a': 1, 'b': 3}, {'a': 3, 'b': 1}, {'a': 4, 'b': 2}] + Args: + list: The list to insert the item into. + item: The item to insert. + key: The key function to use to sort the list. + checkpoint_to_report_index: A dictionary mapping checkpoints to report indices. + Used to break ties when scores are equal. """ + checkpoint_to_report_index = checkpoint_to_report_index or {} + # TODO: optimize this with sortedlist, batching, etc i = 0 while i < len(list): - # Insert to the right of all duplicates. - if key(list[i]) > key(item): + # When scores are equal, later checkpoints are later in the list. + list_item_key, item_key = key(list[i]), key(item) + if list_item_key > item_key or ( + list_item_key == item_key + and checkpoint_to_report_index.get(list[i].checkpoint, 0) + > checkpoint_to_report_index.get(item.checkpoint, 0) + ): break i += 1 list.insert(i, item) diff --git a/python/ray/train/v2/BUILD.bazel b/python/ray/train/v2/BUILD.bazel index b143db7bb3f7..25b648099553 100644 --- a/python/ray/train/v2/BUILD.bazel +++ b/python/ray/train/v2/BUILD.bazel @@ -22,9 +22,9 @@ py_test( ) py_test( - name = "test_async_checkpointing", + name = "test_async_checkpointing_validation", size = "medium", - srcs = ["tests/test_async_checkpointing.py"], + srcs = ["tests/test_async_checkpointing_validation.py"], env = {"RAY_TRAIN_V2_ENABLED": "1"}, tags = [ "exclusive", @@ -53,6 +53,22 @@ py_test( ], ) +py_test( + name = "test_validation_manager", + size = "small", + srcs = ["tests/test_validation_manager.py"], + env = {"RAY_TRAIN_V2_ENABLED": "1"}, + tags = [ + "exclusive", + "team:ml", + "train_v2", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_collective", size = "small", diff --git a/python/ray/train/v2/_internal/callbacks/user_callback.py b/python/ray/train/v2/_internal/callbacks/user_callback.py index baa4cca39f79..edd82d8b5995 100644 --- a/python/ray/train/v2/_internal/callbacks/user_callback.py +++ b/python/ray/train/v2/_internal/callbacks/user_callback.py @@ -1,11 +1,11 @@ -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List -from ray.train import Checkpoint from ray.train.v2._internal.execution.callback import ( ReportCallback, WorkerGroupCallback, ) from ray.train.v2._internal.execution.context import TrainRunContext +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2._internal.execution.worker_group import WorkerGroupPollStatus from ray.train.v2.api.callback import UserCallback @@ -26,13 +26,15 @@ def __init__( # -------------------------- def after_report( - self, metrics: List[Dict[str, Any]], checkpoint: Optional[Checkpoint] + self, + training_report: _TrainingReport, + metrics: List[Dict[str, Any]], ): for user_callback in self._user_callbacks: user_callback.after_report( run_context=self._train_run_context, metrics=metrics, - checkpoint=checkpoint, + checkpoint=training_report.checkpoint, ) # -------------------------- diff --git a/python/ray/train/v2/_internal/execution/callback.py b/python/ray/train/v2/_internal/execution/callback.py index f5cfd3584f79..5c506104006e 100644 --- a/python/ray/train/v2/_internal/execution/callback.py +++ b/python/ray/train/v2/_internal/execution/callback.py @@ -1,13 +1,13 @@ from contextlib import contextmanager from typing import TYPE_CHECKING, Any, Dict, List, Optional +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2.api.callback import RayTrainCallback from ray.train.v2.api.config import ScalingConfig from ray.train.v2.api.result import Result from ray.util.annotations import DeveloperAPI if TYPE_CHECKING: - from ray.train import Checkpoint from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.controller import ( TrainControllerState, @@ -137,10 +137,13 @@ def after_controller_finish(self, result: Result): pass +# TODO: consider consolidating all metrics into one dict, possibly with UDF @DeveloperAPI class ReportCallback(RayTrainCallback): def after_report( - self, metrics: List[Dict[str, Any]], checkpoint: Optional["Checkpoint"] + self, + training_report: _TrainingReport, + metrics: List[Dict[str, Any]], ): """Called after all workers have reported a training result. diff --git a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py index a4a086ca7f84..ed3aec6f04fb 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/checkpoint_manager.py @@ -16,6 +16,7 @@ ) from ray.train.v2._internal.execution.context import StorageContext from ray.train.v2._internal.execution.storage import _exists_at_fs_path, delete_fs_path +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2._internal.execution.worker_group import Worker from ray.train.v2.api.reported_checkpoint import ReportedCheckpoint @@ -88,12 +89,22 @@ def __init__( # for the current worker group. self._current_report_index = 0 + # Map from checkpoint to training result + self._pending_training_results = {} + + # Map from checkpoint to report index. Used to order checkpoints. + self._checkpoint_to_report_index = {} + self._condition = asyncio.Condition() super().__init__(checkpoint_config) # If the snapshot is found, the checkpoint manager will restore its state. self._maybe_load_state_from_storage() - def register_checkpoint(self, checkpoint_result: _TrainingResult): + def register_checkpoint( + self, + checkpoint_result: _TrainingResult, + is_result_pending: bool, + ): """Register new checkpoint and add to bookkeeping. This method will register a new checkpoint and add it to the internal @@ -102,9 +113,13 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): checkpoints should be deleted. Args: - checkpoint: Tracked checkpoint object to add to bookkeeping. + checkpoint_result: Tracked checkpoint and associated metrics to add to bookkeeping. + is_result_pending: Whether the result is pending or fully ready. """ self._latest_checkpoint_result = checkpoint_result + self._checkpoint_to_report_index[ + checkpoint_result.checkpoint + ] = self._current_report_index if self._checkpoint_config.checkpoint_score_attribute is not None: # If we're ordering by a score, insert the checkpoint @@ -113,19 +128,68 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): self._checkpoint_results, checkpoint_result, key=self._get_checkpoint_score, + checkpoint_to_report_index=self._checkpoint_to_report_index, ) else: # If no metric is provided, just append (ordering by time of registration). self._checkpoint_results.append(checkpoint_result) - results_to_delete = {} + if is_result_pending: + self._pending_training_results[ + checkpoint_result.checkpoint + ] = checkpoint_result + + self._save_state_and_delete_old_checkpoints() + + self._current_report_index += 1 + + async def async_notify(): + async with self._condition: + self._condition.notify_all() + + asyncio.create_task(async_notify()) + + def update_checkpoints_with_metrics( + self, checkpoint_to_metrics: Dict[Checkpoint, Dict[str, Any]] + ): + """Update the checkpoints with the metrics.""" + for checkpoint, metrics in checkpoint_to_metrics.items(): + if checkpoint not in self._pending_training_results: + logger.warning( + f"Checkpoint {checkpoint} not found in pending training results. " + ) + continue + checkpoint_result = self._pending_training_results[checkpoint] + checkpoint_result.metrics.update(metrics) + if checkpoint_result not in self._checkpoint_results: + raise ValueError( + f"Checkpoint {checkpoint} was in pending training results but not " + "checkpoint results. " + ) + self._checkpoint_results.remove(checkpoint_result) + _insert_into_sorted_list( + self._checkpoint_results, + checkpoint_result, + key=self._get_checkpoint_score, + checkpoint_to_report_index=self._checkpoint_to_report_index, + ) + self._pending_training_results.pop(checkpoint) + self._save_state_and_delete_old_checkpoints() + + def _save_state_and_delete_old_checkpoints(self): + """Delete the old checkpoints.""" + # Get checkpoints to delete + results_to_delete = set() if self._checkpoint_config.num_to_keep is not None: # Delete the bottom (N - K) checkpoints worst_results = set( self._checkpoint_results[: -self._checkpoint_config.num_to_keep] ) - # Except for the latest checkpoint. + # Except for the latest checkpoint and pending checkpoints results_to_delete = worst_results - {self._latest_checkpoint_result} + results_to_delete = results_to_delete - set( + self._pending_training_results.values() + ) # Update internal state before actually deleting them. self._checkpoint_results = [ @@ -147,14 +211,6 @@ def register_checkpoint(self, checkpoint_result: _TrainingResult): logger.debug("Deleting checkpoint: ", checkpoint) delete_fs_path(fs=checkpoint.filesystem, fs_path=checkpoint.path) - self._current_report_index += 1 - - async def async_notify(): - async with self._condition: - self._condition.notify_all() - - asyncio.create_task(async_notify()) - # -------------------------- # CheckpointManager state # -------------------------- @@ -280,15 +336,19 @@ def _assert_checkpoints_exist(self): # -------------------------- def after_report( - self, metrics: List[Dict[str, Any]], checkpoint: Optional[Checkpoint] + self, + training_report: _TrainingReport, + metrics: List[Dict[str, Any]], ): - if not checkpoint: + if not training_report.checkpoint: self._current_report_index += 1 return - rank_0_metrics = metrics[0] self.register_checkpoint( - _TrainingResult(checkpoint=checkpoint, metrics=rank_0_metrics) + _TrainingResult( + checkpoint=training_report.checkpoint, metrics=training_report.metrics + ), + bool(training_report.validation_spec), ) # -------------------------- diff --git a/python/ray/train/v2/_internal/execution/checkpoint/report_handler.py b/python/ray/train/v2/_internal/execution/checkpoint/report_handler.py index 47ac5dd9c2ea..c29fbde5abd1 100644 --- a/python/ray/train/v2/_internal/execution/checkpoint/report_handler.py +++ b/python/ray/train/v2/_internal/execution/checkpoint/report_handler.py @@ -1,18 +1,16 @@ from collections import deque -from typing import TYPE_CHECKING, Deque, List, Optional +from typing import Deque, List, Optional from ray.train.v2._internal.execution.callback import ( ReportCallback, WorkerGroupCallback, ) +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2._internal.execution.worker_group import ( WorkerGroup, WorkerGroupPollStatus, ) -if TYPE_CHECKING: - from ray.train._internal.session import _TrainingResult - class ReportCallbackHandler(WorkerGroupCallback): """Consolidate training results from multiple workers and call @@ -26,8 +24,8 @@ def __init__(self, report_callbacks: List[ReportCallback]): # When a worker group shutdown, self._num_workers is set to None, # waiting to be updated when a new worker group status is received again. self._num_workers: Optional[int] = None - # A list of queues holding training results from workers. - self._training_result_queues: Optional[List[Deque[_TrainingResult]]] = None + # A list of queues holding training reports from workers. + self._training_report_queues: Optional[List[Deque[_TrainingReport]]] = None self._report_callbacks = report_callbacks @@ -44,10 +42,10 @@ def after_worker_group_poll_status( a consolidated training result. """ # Step 1: If self._num_workers is None, we need to initialize the number - # of workers and training_results_queues from the worker group status. This + # of workers and training_reports_queues from the worker group status. This # happens when the handler receives the worker group status for the first time. assert ( - self._num_workers and self._training_result_queues + self._num_workers and self._training_report_queues ), "Need to call initialize state with `after_worker_group_start` first." assert self._num_workers == len(worker_group_status.worker_statuses), ( @@ -55,25 +53,26 @@ def after_worker_group_poll_status( f"Expected: {self._num_workers}, got: {len(worker_group_status.worker_statuses)}" ) - # Step 2: Update training_results_queues with poll_results. + # Step 2: Update training_reports_queues with poll_results. for i in range(self._num_workers): - training_result = worker_group_status.worker_statuses[i].training_result - if training_result: - self._training_result_queues[i].append(training_result) + training_report = worker_group_status.worker_statuses[i].training_report + if training_report: + self._training_report_queues[i].append(training_report) # Directly return if any of the worker result queues are empty. - if not all(self._training_result_queues): + if not all(self._training_report_queues): return - training_results = [q.popleft() for q in self._training_result_queues] + training_reports = [q.popleft() for q in self._training_report_queues] # Step 3: Consolidate a list of checkpoints to single checkpoint. # Use the first checkpoint as the consolidated checkpoint. checkpoint_results = [ - tr for tr in training_results if tr.checkpoint is not None + tr for tr in training_reports if tr.checkpoint is not None ] consolidated_checkpoint = None + validation_spec = None if checkpoint_results: # Double check the storage path of the checkpoints in the training results. unique_checkpoint_paths = {tr.checkpoint.path for tr in checkpoint_results} @@ -89,21 +88,26 @@ def after_worker_group_poll_status( "This is unexpected -- please file a Github issue." ) consolidated_checkpoint = checkpoint_results[0].checkpoint + validation_spec = checkpoint_results[0].validation_spec # Step 4: Invoke all dependent `ReportCallback`s. metrics_per_worker = [ - training_result.metrics for training_result in training_results + training_report.metrics for training_report in training_reports ] for callback in self._report_callbacks: callback.after_report( + training_report=_TrainingReport( + checkpoint=consolidated_checkpoint, + metrics=metrics_per_worker[0], + validation_spec=validation_spec, + ), metrics=metrics_per_worker, - checkpoint=consolidated_checkpoint, ) def after_worker_group_start(self, worker_group: WorkerGroup) -> None: """Handle worker group start. Initialize internal states.""" self._num_workers = len(worker_group) - self._training_result_queues = [deque() for _ in range(self._num_workers)] + self._training_report_queues = [deque() for _ in range(self._num_workers)] def before_worker_group_shutdown(self, worker_group: WorkerGroup) -> None: """Handle worker group shutdown. Clear internal states. @@ -111,4 +115,4 @@ def before_worker_group_shutdown(self, worker_group: WorkerGroup) -> None: None of the partial reported results are valid at this point. """ self._num_workers = None - self._training_result_queues = None + self._training_report_queues = None diff --git a/python/ray/train/v2/_internal/execution/checkpoint/validation_manager.py b/python/ray/train/v2/_internal/execution/checkpoint/validation_manager.py new file mode 100644 index 000000000000..8778ef081d7a --- /dev/null +++ b/python/ray/train/v2/_internal/execution/checkpoint/validation_manager.py @@ -0,0 +1,141 @@ +import logging +import time +from collections import OrderedDict +from typing import TYPE_CHECKING, Any, Dict, List + +import ray +from ray.train._checkpoint import Checkpoint +from ray.train.v2._internal.execution.callback import ControllerCallback, ReportCallback +from ray.train.v2._internal.execution.checkpoint.checkpoint_manager import ( + CheckpointManager, +) +from ray.train.v2._internal.execution.training_report import ( + _TrainingReport, + _ValidationSpec, +) + +if TYPE_CHECKING: + from ray.train.v2._internal.execution.controller import TrainControllerState + +logger = logging.getLogger(__name__) + + +VALIDATION_TASK_POLL_INTERVAL_S = 1 + + +@ray.remote +def run_validate_fn(validation_spec: _ValidationSpec, checkpoint: Checkpoint) -> Dict: + """Run the user-defined validation function.""" + metrics_dict = validation_spec.validate_fn( + checkpoint, + validation_spec.validate_config, + ) + if not isinstance(metrics_dict, dict): + raise ValueError( + "The validate function must return a dictionary of metrics. " + f"Got {type(metrics_dict)} instead." + ) + return metrics_dict + + +class ValidationManager(ControllerCallback, ReportCallback): + def __init__( + self, + checkpoint_manager: CheckpointManager, + ): + self._checkpoint_manager = checkpoint_manager + + # Map from validation task to checkpoint + self._pending_validations = OrderedDict() + + # Map from validation task to checkpoint + # Finished validations that have yet to be processed + self._finished_validations = OrderedDict() + + # TODO: checkpoint/restore validation manager state + + def after_report( + self, + training_report: _TrainingReport, + metrics: List[Dict[str, Any]], + ): + if ( + training_report.validation_spec + and training_report.validation_spec.validate_fn + ): + # TODO: rate limit this by using a queue? + # TODO: figure out where to place run_validate_fn task: + # head node is faster but want to avoid putting too much there + validate_task = run_validate_fn.remote( + training_report.validation_spec, training_report.checkpoint + ) + self._pending_validations[validate_task] = training_report.checkpoint + logger.info( + f"Launched async validation task for checkpoint {training_report.checkpoint}" + ) + + def _poll_validations(self) -> int: + """Poll/process validations, update checkpoint manager, return num pending validations.""" + # Move pending validations to finished validations + validation_tasks = list(self._pending_validations.keys()) + done, _ = ray.wait( + validation_tasks, timeout=0, num_returns=len(validation_tasks) + ) + done_checkpoints = [] + for task in done: + done_checkpoints.append(self._pending_validations[task]) + self._finished_validations[task] = self._pending_validations[task] + self._pending_validations.pop(task) + if done_checkpoints: + # TODO: consider better logging + logger.info( + f"Finished async validation task for checkpoint(s) {done_checkpoints}. " + f"Remaining pending validations for checkpoint(s): {self._pending_validations.values()}" + ) + + # Process next finished validation + # TODO: consider configuration to process multiple at a time + if self._finished_validations: + task, checkpoint = next(iter(self._finished_validations.items())) + self._finished_validations.pop(task) + checkpoint_to_metrics = self._process_finished_validation(task, checkpoint) + self._checkpoint_manager.update_checkpoints_with_metrics( + checkpoint_to_metrics + ) + return len(self._pending_validations) + + def _process_finished_validation( + self, task: ray.ObjectRef, checkpoint: Checkpoint + ) -> Dict[Checkpoint, Dict[str, Any]]: + """Process finished validation, update checkpoint manager, return metrics.""" + checkpoint_to_metrics = {} + try: + checkpoint_to_metrics[checkpoint] = ray.get(task) + except (ray.exceptions.RayTaskError, ray.exceptions.TaskCancelledError): + checkpoint_to_metrics[checkpoint] = {} + logger.exception(f"Validation failed for checkpoint {checkpoint}") + # TODO: retry validations and time out appropriately. + # TODO: track failed validations - see ed45912bb6ed435de06ac1cd58e9918e6825b4fe + return checkpoint_to_metrics + + def before_controller_shutdown(self): + while self._poll_validations() != 0: + time.sleep(VALIDATION_TASK_POLL_INTERVAL_S) + checkpoint_to_metrics = {} + tasks = list(self._finished_validations.keys()) + for task in tasks: + checkpoint = self._finished_validations[task] + self._finished_validations.pop(task) + checkpoint_to_metrics.update( + self._process_finished_validation(task, checkpoint) + ) + self._checkpoint_manager.update_checkpoints_with_metrics(checkpoint_to_metrics) + + def after_controller_state_update( + self, + previous_state: "TrainControllerState", + current_state: "TrainControllerState", + ): + # TODO: figure out if there's a better place to poll validations + # TODO: consider cleaning up validation tasks in before_controller_abort + self._poll_validations() diff --git a/python/ray/train/v2/_internal/execution/context.py b/python/ray/train/v2/_internal/execution/context.py index 163093260565..d5e58f48e7aa 100644 --- a/python/ray/train/v2/_internal/execution/context.py +++ b/python/ray/train/v2/_internal/execution/context.py @@ -5,17 +5,20 @@ from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass, field from queue import Queue -from typing import TYPE_CHECKING, Any, Dict, List, Optional +from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional import ray from ray._common.retry import retry from ray.actor import ActorHandle from ray.data import DataIterator, Dataset from ray.train._internal import session -from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.constants import AWS_RETRYABLE_TOKENS from ray.train.v2._internal.execution.checkpoint.sync_actor import SynchronizationActor from ray.train.v2._internal.execution.storage import StorageContext, delete_fs_path +from ray.train.v2._internal.execution.training_report import ( + _TrainingReport, + _ValidationSpec, +) from ray.train.v2._internal.util import ( _copy_doc, construct_user_exception_with_traceback, @@ -225,7 +228,8 @@ def _upload_checkpoint( metrics: Dict[str, Any], checkpoint: Optional["Checkpoint"] = None, delete_local_checkpoint_after_upload: bool = False, - ) -> _TrainingResult: + validation_spec: Optional[_ValidationSpec] = None, + ) -> _TrainingReport: """Save the checkpoint to remote storage. Args: @@ -233,13 +237,16 @@ def _upload_checkpoint( metrics: The metrics to report. checkpoint: The checkpoint to report. delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. + validation_spec: The validation specification. Returns: The training result object containing the persisted checkpoint. """ if not checkpoint: - return _TrainingResult(checkpoint=None, metrics=metrics) + return _TrainingReport( + checkpoint=None, metrics=metrics, validation_spec=None + ) # Persist the checkpoint to the remote storage path. try: @@ -263,11 +270,15 @@ def _upload_checkpoint( f"Failed to delete the local checkpoint after a successful upload: {checkpoint}" ) - return _TrainingResult(checkpoint=persisted_checkpoint, metrics=metrics) + return _TrainingReport( + checkpoint=persisted_checkpoint, + metrics=metrics, + validation_spec=validation_spec, + ) def _wait_then_report( - self, training_result: _TrainingResult, report_call_index: int - ) -> None: + self, training_report: _TrainingReport, report_call_index: int + ): """Thread waits for its turn before reporting training result to result queue. It does this in order to guarantee the FIFO processing of checkpoints. @@ -283,12 +294,12 @@ def _wait_then_report( lambda: self.current_report_index == report_call_index - 1 ) logger.info( - f"Reporting training result {report_call_index}: {training_result}" + f"Reporting training result {report_call_index}: {training_report}" ) # Update latest checkpoint as the persisted checkpoint. - if training_result.checkpoint: - self.checkpoint = training_result.checkpoint - self.get_result_queue().put(training_result) + if training_report.checkpoint: + self.checkpoint = training_report.checkpoint + self.get_result_queue().put(training_report) self.current_report_index += 1 self.report_order_condition.notify_all() @@ -299,6 +310,8 @@ def report( checkpoint_dir_name: Optional[str] = None, checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, delete_local_checkpoint_after_upload: Optional[bool] = None, + validate_fn: Optional[Callable[["Checkpoint", Optional[Dict]], Dict]] = None, + validate_config: Optional[Dict] = None, ) -> None: """ Upload checkpoint to remote storage and put a training @@ -327,6 +340,13 @@ def report( for callback in self.execution_context.train_context_callbacks ] ): + if validate_fn: + validation_spec = _ValidationSpec( + validate_fn=validate_fn, + validate_config=validate_config, + ) + else: + validation_spec = None self.report_call_index += 1 report_call_index = self.report_call_index @@ -337,19 +357,22 @@ def report( # Upload checkpoint, wait for turn, and report. if checkpoint_upload_mode == CheckpointUploadMode.SYNC: - training_result = self._upload_checkpoint( - checkpoint_dir_name=checkpoint_dir_name, - metrics=metrics, - checkpoint=checkpoint, - delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, + training_report = self._upload_checkpoint( + checkpoint_dir_name, + metrics, + checkpoint, + delete_local_checkpoint_after_upload, + validation_spec, ) - self._wait_then_report(training_result, report_call_index) + self._wait_then_report(training_report, report_call_index) elif checkpoint_upload_mode == CheckpointUploadMode.NO_UPLOAD: - training_result = _TrainingResult( - checkpoint=checkpoint, metrics=metrics + training_report = _TrainingReport( + checkpoint=checkpoint, + metrics=metrics, + validation_spec=validation_spec, ) - self._wait_then_report(training_result, report_call_index) + self._wait_then_report(training_report, report_call_index) elif checkpoint_upload_mode == CheckpointUploadMode.ASYNC: @@ -360,13 +383,14 @@ def _upload_checkpoint_and_report( report_call_index: int, ) -> None: try: - training_result = self._upload_checkpoint( - checkpoint_dir_name=checkpoint_dir_name, - metrics=metrics, - checkpoint=checkpoint, - delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, + training_report = self._upload_checkpoint( + checkpoint_dir_name, + metrics, + checkpoint, + delete_local_checkpoint_after_upload, + validation_spec, ) - self._wait_then_report(training_result, report_call_index) + self._wait_then_report(training_report, report_call_index) except Exception as e: # TODO: env var to disable eager raising logger.exception( diff --git a/python/ray/train/v2/_internal/execution/controller/controller.py b/python/ray/train/v2/_internal/execution/controller/controller.py index 3d84796c4340..129048a9a089 100644 --- a/python/ray/train/v2/_internal/execution/controller/controller.py +++ b/python/ray/train/v2/_internal/execution/controller/controller.py @@ -28,6 +28,9 @@ from ray.train.v2._internal.execution.checkpoint.report_handler import ( ReportCallbackHandler, ) +from ray.train.v2._internal.execution.checkpoint.validation_manager import ( + ValidationManager, +) from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.controller.state import ( AbortedState, @@ -131,17 +134,21 @@ def __init__( checkpoint_config=self._run_config.checkpoint_config, storage_context=self._storage_context, ) + self._validation_manager = ValidationManager( + checkpoint_manager=self._checkpoint_manager, + ) report_handler = ReportCallbackHandler( report_callbacks=( - [self._checkpoint_manager] + [self._checkpoint_manager, self._validation_manager] + [c for c in self._callbacks if isinstance(c, ReportCallback)] ) ) # Group callbacks by the hooks they're subscribed to. - self._controller_callbacks = [self._scaling_policy] + [ - c for c in self._callbacks if isinstance(c, ControllerCallback) - ] + self._controller_callbacks = [ + self._scaling_policy, + self._validation_manager, + ] + [c for c in self._callbacks if isinstance(c, ControllerCallback)] # Group callbacks that will be propagated to the worker group, # train worker and the train context. self._worker_group_callbacks_to_propagate = ( diff --git a/python/ray/train/v2/_internal/execution/train_fn_utils.py b/python/ray/train/v2/_internal/execution/train_fn_utils.py index 9b4acadee929..05136077cb44 100644 --- a/python/ray/train/v2/_internal/execution/train_fn_utils.py +++ b/python/ray/train/v2/_internal/execution/train_fn_utils.py @@ -1,7 +1,7 @@ import logging import threading from abc import ABC, abstractmethod -from typing import TYPE_CHECKING, Any, Dict, List, Optional +from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional from ray.data import DataIterator from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata @@ -39,6 +39,8 @@ def report( checkpoint_dir_name: Optional[str] = None, checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, delete_local_checkpoint_after_upload: Optional[bool] = None, + validate_fn: Optional[Callable[["Checkpoint", Optional[Dict]], Dict]] = None, + validate_config: Optional[Dict] = None, ) -> None: """Upload checkpoint to remote storage and put a training result on the result queue. @@ -53,6 +55,10 @@ def report( Defaults to uploading the checkpoint synchronously. This works when no checkpoint is provided but is not useful in that case. delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. + validate_fn: If provided, Ray Train will validate the checkpoint using + this function. + validate_config: Configuration passed to the validate_fn. Can contain info + like the validation dataset. """ pass @@ -130,6 +136,8 @@ def report( checkpoint_dir_name: Optional[str] = None, checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, delete_local_checkpoint_after_upload: Optional[bool] = None, + validate_fn: Optional[Callable[["Checkpoint", Optional[Dict]], Dict]] = None, + validate_config: Optional[Dict] = None, ) -> None: return get_internal_train_context().report( metrics, @@ -137,6 +145,8 @@ def report( checkpoint_dir_name, checkpoint_upload_mode, delete_local_checkpoint_after_upload, + validate_fn, + validate_config, ) def get_checkpoint(self): @@ -191,6 +201,8 @@ def report( checkpoint_dir_name: Optional[str] = None, checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, delete_local_checkpoint_after_upload: Optional[bool] = None, + validate_fn: Optional[Callable[["Checkpoint", Optional[Dict]], Dict]] = None, + validate_config: Optional[Dict] = None, ) -> None: self._last_metrics = metrics self._last_checkpoint = checkpoint diff --git a/python/ray/train/v2/_internal/execution/training_report.py b/python/ray/train/v2/_internal/execution/training_report.py new file mode 100644 index 000000000000..b59346e10e8b --- /dev/null +++ b/python/ray/train/v2/_internal/execution/training_report.py @@ -0,0 +1,36 @@ +from typing import TYPE_CHECKING, Any, Callable, Dict, Optional + +if TYPE_CHECKING: + from ray.train import Checkpoint + + +class _ValidationSpec: + """A specification for validation.""" + + def __init__( + self, + validate_fn: Callable[["Checkpoint", Optional[Dict]], Dict], + validate_config: Dict, + ): + self.validate_fn = validate_fn + self.validate_config = validate_config + + def __repr__(self) -> str: + return f"ValidationSpec(validate_fn={self.validate_fn}, validate_config={self.validate_config})" + + +class _TrainingReport: + """A _TrainingResult reported by the user and a _ValidationSpec that describes how to validate it.""" + + def __init__( + self, + checkpoint: Optional["Checkpoint"], + metrics: Dict[str, Any], + validation_spec: Optional[_ValidationSpec], + ): + self.checkpoint = checkpoint + self.metrics = metrics + self.validation_spec = validation_spec + + def __repr__(self) -> str: + return f"TrainingReport(checkpoint={self.checkpoint}, metrics={self.metrics}, validation_spec={self.validation_spec})" diff --git a/python/ray/train/v2/_internal/execution/worker_group/poll.py b/python/ray/train/v2/_internal/execution/worker_group/poll.py index dffe2eb5d892..21bea55d3cde 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/poll.py +++ b/python/ray/train/v2/_internal/execution/worker_group/poll.py @@ -4,8 +4,8 @@ from typing import Dict, Optional from ray._private.ray_logging import NUMBERS -from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.exceptions import WorkerHealthCheckFailedError +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2.api.exceptions import WorkerGroupError from ray.types import ObjectRef @@ -36,7 +36,7 @@ def _truncate_error_string(error_str: str) -> str: class WorkerStatus: running: bool error: Optional[Exception] = None - training_result: Optional[_TrainingResult] = None + training_report: Optional[_TrainingReport] = None @dataclass(frozen=True) diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker.py b/python/ray/train/v2/_internal/execution/worker_group/worker.py index c890ad5c8a88..fb5abe00ed43 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker.py @@ -162,10 +162,10 @@ def poll_status(self) -> WorkerStatus: # TODO: We can implement two phase commit here. # Only mark the task done when the result has been processed by the controller. try: - training_result = execution_context.result_queue.get_nowait() + training_report = execution_context.result_queue.get_nowait() execution_context.result_queue.task_done() except queue.Empty: - training_result = None + training_report = None error = execution_context.training_thread_runner.get_error() @@ -174,11 +174,11 @@ def poll_status(self) -> WorkerStatus: # This relies on `worker_group_status.finished` returning False # until all training results have been flushed. running = execution_context.training_thread_runner.is_running() or bool( - training_result + training_report ) return WorkerStatus( - running=running, error=error, training_result=training_result + running=running, error=error, training_report=training_report ) def shutdown(self): diff --git a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py index b103bceac1b7..1655e3874a0c 100644 --- a/python/ray/train/v2/_internal/execution/worker_group/worker_group.py +++ b/python/ray/train/v2/_internal/execution/worker_group/worker_group.py @@ -565,7 +565,7 @@ def _poll_workers_and_collect_errors( error = WorkerHealthCheckTimeoutError(error_msg) poll_task_to_result[hanging_poll] = WorkerStatus( - running=True, error=error, training_result=None + running=True, error=error, training_report=None ) for done_poll in done_polls: @@ -584,7 +584,7 @@ def _poll_workers_and_collect_errors( poll_result = WorkerStatus( running=False, error=WorkerHealthCheckFailedError(error_msg, failure=e), - training_result=None, + training_report=None, ) poll_task_to_result[done_poll] = poll_result diff --git a/python/ray/train/v2/api/train_fn_utils.py b/python/ray/train/v2/api/train_fn_utils.py index eec8274367c2..fe3ad7016701 100644 --- a/python/ray/train/v2/api/train_fn_utils.py +++ b/python/ray/train/v2/api/train_fn_utils.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING, Any, Dict, List, Optional +from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional from ray.train.v2._internal.data_integration.interfaces import DatasetShardMetadata from ray.train.v2._internal.execution.train_fn_utils import get_train_fn_utils @@ -19,6 +19,8 @@ def report( checkpoint_dir_name: Optional[str] = None, checkpoint_upload_mode: CheckpointUploadMode = CheckpointUploadMode.SYNC, delete_local_checkpoint_after_upload: Optional[bool] = None, + validate_fn: Optional[Callable[["Checkpoint", Optional[Dict]], Dict]] = None, + validate_config: Optional[Dict] = None, ): """Report metrics and optionally save a checkpoint. @@ -95,18 +97,28 @@ def train_func(config): Defaults to uploading the checkpoint synchronously. This works when no checkpoint is provided but is not useful in that case. delete_local_checkpoint_after_upload: Whether to delete the checkpoint after it is uploaded. + validate_fn: If provided, Ray Train will validate the checkpoint using + this function. + validate_config: Configuration passed to the validate_fn. Can contain info + like the validation dataset. """ if delete_local_checkpoint_after_upload is None: delete_local_checkpoint_after_upload = ( checkpoint_upload_mode._default_delete_local_checkpoint_after_upload() ) + # TODO: figure out how to validate validate_fn itself + if validate_config and not validate_fn: + raise ValueError("validate_fn must be provided together with validate_config") + get_train_fn_utils().report( metrics=metrics, checkpoint=checkpoint, checkpoint_dir_name=checkpoint_dir_name, checkpoint_upload_mode=checkpoint_upload_mode, delete_local_checkpoint_after_upload=delete_local_checkpoint_after_upload, + validate_fn=validate_fn, + validate_config=validate_config or {}, ) diff --git a/python/ray/train/v2/tests/test_async_checkpointing.py b/python/ray/train/v2/tests/test_async_checkpointing_validation.py similarity index 67% rename from python/ray/train/v2/tests/test_async_checkpointing.py rename to python/ray/train/v2/tests/test_async_checkpointing_validation.py index 6e2251e8510c..330081f5e549 100644 --- a/python/ray/train/v2/tests/test_async_checkpointing.py +++ b/python/ray/train/v2/tests/test_async_checkpointing_validation.py @@ -5,13 +5,22 @@ import ray import ray.cloudpickle as ray_pickle +from ray.air.config import CheckpointConfig from ray.train import Checkpoint, RunConfig, ScalingConfig +from ray.train.tests.util import create_dict_checkpoint from ray.train.v2.api.data_parallel_trainer import DataParallelTrainer from ray.train.v2.api.exceptions import WorkerGroupError from ray.train.v2.api.report_config import CheckpointUploadMode -def test_report_mixed_checkpoint_upload_modes(ray_start_4_cpus, tmp_path): +@pytest.fixture(scope="module", autouse=True) +def ray_start_4_cpus(): + ray.init(num_cpus=4) + yield + ray.shutdown() + + +def test_report_mixed_checkpoint_upload_modes(tmp_path): """Run all 10 possible pairs (e.g. (SYNC, ASYNC)) of checkpoint upload modes between 2 workers.""" def get_checkpoint_iteration(checkpoint): @@ -124,7 +133,6 @@ def train_fn(): ], ) def test_report_delete_local_checkpoint_after_upload( - ray_start_4_cpus, tmp_path, delete_local_checkpoint_after_upload, checkpoint_upload_mode, @@ -176,7 +184,7 @@ def train_fn(): assert os.path.exists(os.path.join(tmp_path, "my_checkpoint_dir")) -def test_report_checkpoint_upload_error(ray_start_4_cpus, monkeypatch, tmp_path): +def test_report_checkpoint_upload_error(monkeypatch, tmp_path): """Check that the trainer shuts down when an error occurs during checkpoint upload.""" def train_fn(): @@ -214,7 +222,112 @@ def train_fn(): ) with pytest.raises(WorkerGroupError) as exc_info: trainer.fit() - assert isinstance(exc_info.value.worker_failures[0], ValueError) + assert isinstance(exc_info.value.worker_failures[0]._base_exc, ValueError) + + +def test_report_validate_config_without_validate_fn(): + def train_fn(): + ray.train.report(metrics={}, checkpoint=None, validate_config={"test": "test"}) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + ) + with pytest.raises(WorkerGroupError) as exc_info: + trainer.fit() + assert isinstance(exc_info.value.worker_failures[0]._base_exc, ValueError) + + +def test_report_validate_fn_keeps_correct_checkpoints(tmp_path): + def validate_fn(checkpoint, config): + if config and "new_score" in config: + return {"score": config["new_score"]} + else: + return {} + + def train_fn(): + rank = ray.train.get_context().get_world_rank() + checkpoint_dir = os.path.join( + tmp_path, + "my_checkpoint_dir", + ) + os.makedirs(checkpoint_dir, exist_ok=True) + with open(os.path.join(checkpoint_dir, f"shard_{rank}"), "wb") as f: + ray_pickle.dump("some_checkpoint_contents", f) + ray.train.report( + metrics={"score": 1}, + checkpoint=Checkpoint(checkpoint_dir), + checkpoint_upload_mode=CheckpointUploadMode.ASYNC, + delete_local_checkpoint_after_upload=False, + validate_fn=validate_fn, + validate_config=None, + ) + with create_dict_checkpoint({}) as cp2: + ray.train.report( + metrics={"score": 3}, + checkpoint=cp2, + checkpoint_upload_mode=CheckpointUploadMode.SYNC, + validate_fn=validate_fn, + validate_config=None, + ) + with create_dict_checkpoint({}) as cp3: + ray.train.report( + metrics={"score": 2}, + checkpoint=cp3, + checkpoint_upload_mode=CheckpointUploadMode.SYNC, + validate_fn=validate_fn, + validate_config={"new_score": 5}, + ) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + run_config=RunConfig( + storage_path=str(tmp_path), + checkpoint_config=CheckpointConfig( + num_to_keep=2, checkpoint_score_attribute="score" + ), + ), + ) + result = trainer.fit() + assert result.error is None + assert result.checkpoint == result.best_checkpoints[1][0] + assert len(result.best_checkpoints) == 2 + assert result.best_checkpoints[0][1] == {"score": 3} + assert result.best_checkpoints[1][1] == {"score": 5} + + +def test_report_validate_fn_error(): + def validate_fn(checkpoint, config): + if config["rank"] == 0 and config["iteration"] == 0: + raise ValueError("validation failed") + return {} + + def train_fn(): + rank = ray.train.get_context().get_world_rank() + with create_dict_checkpoint({}) as cp1: + ray.train.report( + metrics={}, + checkpoint=cp1, + validate_fn=validate_fn, + validate_config={"rank": rank, "iteration": 0}, + ) + with create_dict_checkpoint({}) as cp2: + ray.train.report( + metrics={}, + checkpoint=cp2, + validate_fn=validate_fn, + validate_config={"rank": rank, "iteration": 1}, + ) + + trainer = DataParallelTrainer( + train_fn, + scaling_config=ScalingConfig(num_workers=2), + ) + result = trainer.fit() + assert result.error is None + assert result.checkpoint == result.best_checkpoints[1][0] + assert len(result.best_checkpoints) == 2 if __name__ == "__main__": diff --git a/python/ray/train/v2/tests/test_checkpoint_manager.py b/python/ray/train/v2/tests/test_checkpoint_manager.py index 2d9304a112b6..aec02f18a4ab 100644 --- a/python/ray/train/v2/tests/test_checkpoint_manager.py +++ b/python/ray/train/v2/tests/test_checkpoint_manager.py @@ -1,12 +1,11 @@ import uuid -from pathlib import Path -from typing import List, Optional +from typing import Optional from unittest.mock import create_autospec import pytest import ray -from ray.train import Checkpoint, CheckpointConfig +from ray.train import CheckpointConfig from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.exceptions import CheckpointManagerInitializationError from ray.train.v2._internal.execution.checkpoint.checkpoint_manager import ( @@ -14,6 +13,7 @@ ) from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.execution.worker_group import Worker +from ray.train.v2.tests.util import create_dummy_training_results @pytest.fixture(autouse=True, scope="module") @@ -23,24 +23,6 @@ def ray_start_4_cpus(): ray.shutdown() -def _create_dummy_training_results( - num_results: int, - storage_context: StorageContext, -) -> List[_TrainingResult]: - return [ - _TrainingResult( - checkpoint=Checkpoint( - path=Path( - storage_context.experiment_fs_path, f"checkpoint_{i}" - ).as_posix(), - filesystem=storage_context.storage_filesystem, - ), - metrics={"score": i}, - ) - for i in range(num_results) - ] - - def _checkpoint_managers_equal(cm1: CheckpointManager, cm2: CheckpointManager) -> bool: """ Compare two checkpoint managers for equality. @@ -110,13 +92,13 @@ async def test_save_load_state_equivalence( storage_context=storage_context, checkpoint_config=checkpoint_config, ) - training_results = _create_dummy_training_results( + training_results = create_dummy_training_results( num_results=3, storage_context=storage_context ) # Register the training results into checkpoint manager for i, tr in enumerate(training_results): - checkpoint_manager.register_checkpoint(tr) + checkpoint_manager.register_checkpoint(tr, False) assert checkpoint_manager._current_report_index == i + 1 loaded_checkpoint_manager = CheckpointManager( storage_context=storage_context, @@ -166,13 +148,151 @@ async def test_before_init_train_context(tmp_path): } # Assert with a checkpoint - latest_checkpoint_result = _create_dummy_training_results(1, storage_context)[0] - checkpoint_manager.register_checkpoint(latest_checkpoint_result) + latest_checkpoint_result = create_dummy_training_results(1, storage_context)[0] + checkpoint_manager.register_checkpoint(latest_checkpoint_result, False) assert checkpoint_manager.before_init_train_context(workers) == { "checkpoint": [latest_checkpoint_result.checkpoint] * 4, } +async def test_pending_checkpoint_management(tmp_path): + storage_context = StorageContext( + storage_path=tmp_path, + experiment_dir_name="pending_checkpoint_management_experiment", + ) + checkpoint_config = CheckpointConfig( + num_to_keep=1, + checkpoint_score_attribute="score", + checkpoint_score_order="max", + ) + checkpoint_manager = CheckpointManager( + storage_context=storage_context, + checkpoint_config=checkpoint_config, + ) + ( + low_initial_high_final_training_result, + high_initial_low_final_training_result, + final_training_result, + ) = create_dummy_training_results(num_results=3, storage_context=storage_context) + scoreless_training_result = create_dummy_training_results( + num_results=1, storage_context=storage_context, include_metrics=False + )[0] + + # Register pending/final/unknown checkpoints and verify their storage + checkpoint_manager.register_checkpoint(low_initial_high_final_training_result, True) + checkpoint_manager.register_checkpoint(final_training_result, False) + checkpoint_manager.register_checkpoint(scoreless_training_result, False) + checkpoint_manager.register_checkpoint(high_initial_low_final_training_result, True) + assert checkpoint_manager._checkpoint_results == [ + low_initial_high_final_training_result, # keep pending + high_initial_low_final_training_result, # keep pending/latest + final_training_result, # keep highest final score so far + ] + + # Assert checkpoint state after all tasks are done + checkpoint_manager.update_checkpoints_with_metrics( + { + low_initial_high_final_training_result.checkpoint: {"score": 200}, + high_initial_low_final_training_result.checkpoint: {"score": 100}, + } + ) + assert checkpoint_manager._checkpoint_results == [ + high_initial_low_final_training_result, # keep latest checkpoint + low_initial_high_final_training_result, # keep highest score checkpoint + ] + + +async def test_pending_checkpoint_management_break_ties_by_report_index(tmp_path): + storage_context = StorageContext( + storage_path=tmp_path, + experiment_dir_name="pending_checkpoint_management_break_ties_by_report_index_experiment", + ) + checkpoint_manager = CheckpointManager( + storage_context=storage_context, + checkpoint_config=CheckpointConfig(), + ) + training_results = create_dummy_training_results( + num_results=2, storage_context=storage_context, include_metrics=False + ) + checkpoint_manager.register_checkpoint(training_results[0], True) + checkpoint_manager.register_checkpoint(training_results[1], True) + assert checkpoint_manager._checkpoint_results == [ + training_results[0], + training_results[1], + ] + checkpoint_manager.update_checkpoints_with_metrics( + { + training_results[1].checkpoint: {}, + } + ) + assert checkpoint_manager._checkpoint_results == [ + training_results[0], + training_results[1], + ] + checkpoint_manager.update_checkpoints_with_metrics( + { + training_results[0].checkpoint: {}, + } + ) + assert checkpoint_manager._checkpoint_results == [ + training_results[0], + training_results[1], + ] + + +async def test_pending_checkpoint_management_finalized_checkpoint(tmp_path): + storage_context = StorageContext( + storage_path=tmp_path, + experiment_dir_name="pending_checkpoint_management_experiment", + ) + checkpoint_manager = CheckpointManager( + storage_context=storage_context, + checkpoint_config=CheckpointConfig( + checkpoint_score_attribute="score", + checkpoint_score_order="max", + ), + ) + training_results = create_dummy_training_results( + num_results=2, storage_context=storage_context + ) + checkpoint_manager.register_checkpoint(training_results[0], False) + checkpoint_manager.register_checkpoint(training_results[1], False) + assert checkpoint_manager._checkpoint_results == [ + training_results[0], + training_results[1], + ] + checkpoint_manager.update_checkpoints_with_metrics( + { + training_results[0].checkpoint: {"score": 100}, + } + ) + assert checkpoint_manager._checkpoint_results == [ + training_results[0], + training_results[1], + ] + + +def test_update_checkpoints_with_metrics_not_in_checkpoint_results(tmp_path): + storage_context = StorageContext( + storage_path=tmp_path, + experiment_dir_name="update_checkpoints_with_metrics_error_experiment", + ) + checkpoint_manager = CheckpointManager( + storage_context=storage_context, + checkpoint_config=CheckpointConfig(), + ) + training_results = create_dummy_training_results( + num_results=1, storage_context=storage_context + ) + checkpoint_manager._pending_training_results[ + training_results[0].checkpoint + ] = training_results[0] + with pytest.raises(ValueError): + checkpoint_manager.update_checkpoints_with_metrics( + {training_results[0].checkpoint: {"score": 100}} + ) + + if __name__ == "__main__": import sys diff --git a/python/ray/train/v2/tests/test_data_parallel_trainer.py b/python/ray/train/v2/tests/test_data_parallel_trainer.py index 2d474379284f..5ef7ce4323ea 100644 --- a/python/ray/train/v2/tests/test_data_parallel_trainer.py +++ b/python/ray/train/v2/tests/test_data_parallel_trainer.py @@ -278,7 +278,7 @@ def train_fn(): # True, ], ) -def test_sigint_abort(ray_start_4_cpus, spam_sigint): +def test_sigint_abort(spam_sigint): # Use SignalActor to wait for training to start before sending SIGINT. SignalActor = create_remote_signal_actor(ray) signal_actor = SignalActor.options( diff --git a/python/ray/train/v2/tests/test_report_handler.py b/python/ray/train/v2/tests/test_report_handler.py index 02220fc2a7c4..2e2755950799 100644 --- a/python/ray/train/v2/tests/test_report_handler.py +++ b/python/ray/train/v2/tests/test_report_handler.py @@ -6,7 +6,6 @@ from ray.air.config import CheckpointConfig from ray.train import Checkpoint -from ray.train._internal.session import _TrainingResult from ray.train.v2._internal.execution.checkpoint.checkpoint_manager import ( CheckpointManager, ) @@ -15,6 +14,7 @@ ) from ray.train.v2._internal.execution.context import TrainRunContext from ray.train.v2._internal.execution.storage import StorageContext +from ray.train.v2._internal.execution.training_report import _TrainingReport from ray.train.v2._internal.execution.worker_group import ( WorkerGroupPollStatus, WorkerStatus, @@ -32,11 +32,19 @@ def generate_worker_group_poll_status(num_workers, num_ckpt, num_dummy, num_none """ assert num_workers == num_ckpt + num_dummy + num_none - ckpt_tr = _TrainingResult(metrics={}, checkpoint=Checkpoint("mock://bucket/path")) - dummy_tr = _TrainingResult(metrics={}, checkpoint=None) - ckpt_ws = WorkerStatus(running=True, error=None, training_result=ckpt_tr) - dummy_ws = WorkerStatus(running=True, error=None, training_result=dummy_tr) - none_ws = WorkerStatus(running=True, error=None, training_result=None) + ckpt_tr = _TrainingReport( + metrics={}, + checkpoint=Checkpoint("mock://bucket/path"), + validation_spec=None, + ) + dummy_tr = _TrainingReport( + metrics={}, + checkpoint=None, + validation_spec=None, + ) + ckpt_ws = WorkerStatus(running=True, error=None, training_report=ckpt_tr) + dummy_ws = WorkerStatus(running=True, error=None, training_report=dummy_tr) + none_ws = WorkerStatus(running=True, error=None, training_report=None) worker_statuses = ( [ckpt_ws] * num_ckpt + [dummy_ws] * num_dummy + [none_ws] * num_none @@ -83,7 +91,7 @@ def test_report_handler(tmp_path, num_workers, num_ckpt, num_dummy, num_none, ex num_workers, num_ckpt, num_dummy, num_none ) with unittest.mock.patch.object( - CheckpointManager, "register_checkpoint" + CheckpointManager, "register_checkpoint", autospec=True ) as fake_register_checkpoint: checkpoint_handler.after_worker_group_poll_status(worker_group_status) assert fake_register_checkpoint.call_count == expected diff --git a/python/ray/train/v2/tests/test_validation_manager.py b/python/ray/train/v2/tests/test_validation_manager.py new file mode 100644 index 000000000000..69431d67e0cc --- /dev/null +++ b/python/ray/train/v2/tests/test_validation_manager.py @@ -0,0 +1,196 @@ +import time +import unittest.mock +from unittest.mock import create_autospec + +import pytest + +import ray +from ray.train._checkpoint import Checkpoint +from ray.train.v2._internal.execution.checkpoint import validation_manager +from ray.train.v2._internal.execution.checkpoint.checkpoint_manager import ( + CheckpointManager, +) +from ray.train.v2._internal.execution.storage import StorageContext +from ray.train.v2._internal.execution.training_report import ( + _TrainingReport, + _ValidationSpec, +) +from ray.train.v2.tests.util import create_dummy_training_results + + +@pytest.fixture(autouse=True, scope="module") +def ray_start_4_cpus(): + ray.init(num_cpus=4) + yield + ray.shutdown() + + +@unittest.mock.patch.object(ray, "wait", autospec=True) +def test_before_controller_shutdown(mock_wait, monkeypatch): + monkeypatch.setattr(validation_manager, "VALIDATION_TASK_POLL_INTERVAL_S", 0) + + # Create ValidationManager with mocked objects + checkpoint_manager = create_autospec(CheckpointManager, instance=True) + checkpoint1 = create_autospec(Checkpoint, instance=True) + checkpoint2 = create_autospec(Checkpoint, instance=True) + checkpoint3 = create_autospec(Checkpoint, instance=True) + task1 = create_autospec(ray.ObjectRef, instance=True) + task2 = create_autospec(ray.ObjectRef, instance=True) + task3 = create_autospec(ray.ObjectRef, instance=True) + vm = validation_manager.ValidationManager(checkpoint_manager=checkpoint_manager) + vm._pending_validations = { + task1: checkpoint1, + task2: checkpoint2, + task3: checkpoint3, + } + mock_wait.side_effect = [([], [task1, task2, task3]), ([task1, task2, task3], [])] + monkeypatch.setattr(ray, "get", lambda x: {"score": 1}) + + # Call before_controller_shutdown + vm.before_controller_shutdown() + assert mock_wait.call_count == 2 + # modoru: interesting test 2 levels + assert checkpoint_manager.update_checkpoints_with_metrics.mock_calls == [ + unittest.mock.call({checkpoint1: {"score": 1}}), + unittest.mock.call({checkpoint2: {"score": 1}, checkpoint3: {"score": 1}}), + ] + + +def test_checkpoint_validation_management_reordering(tmp_path): + checkpoint_manager = create_autospec(CheckpointManager, instance=True) + vm = validation_manager.ValidationManager(checkpoint_manager=checkpoint_manager) + ( + low_initial_high_final_training_result, + high_initial_low_final_training_result, + ) = create_dummy_training_results( + num_results=2, + storage_context=StorageContext( + storage_path=tmp_path, + experiment_dir_name="checkpoint_validation_management_reordering_experiment", + ), + ) + + # Start validation tasks and wait for them to complete + vm.after_report( + training_report=_TrainingReport( + metrics=low_initial_high_final_training_result.metrics, + checkpoint=low_initial_high_final_training_result.checkpoint, + validation_spec=_ValidationSpec( + validate_fn=lambda checkpoint, config: {"score": 200}, + validate_config={}, + ), + ), + metrics={}, + ) + vm.after_report( + training_report=_TrainingReport( + metrics=high_initial_low_final_training_result.metrics, + checkpoint=high_initial_low_final_training_result.checkpoint, + validation_spec=_ValidationSpec( + validate_fn=lambda checkpoint, config: config, + validate_config={"score": 100}, + ), + ), + metrics={}, + ) + ray.wait( + list(vm._pending_validations.keys()), + num_returns=2, + # Pick high timeout to guarantee completion but ray.wait should finish much earlier + timeout=100, + ) + + # Assert ValidationManager state after each poll + assert vm._poll_validations() == 0 + checkpoint_manager.update_checkpoints_with_metrics.assert_called_once_with( + {low_initial_high_final_training_result.checkpoint: {"score": 200}} + ) + assert vm._poll_validations() == 0 + checkpoint_manager.update_checkpoints_with_metrics.assert_called_with( + {high_initial_low_final_training_result.checkpoint: {"score": 100}} + ) + + +def test_checkpoint_validation_management_failure(tmp_path): + checkpoint_manager = create_autospec(CheckpointManager, instance=True) + vm = validation_manager.ValidationManager(checkpoint_manager=checkpoint_manager) + failing_training_result = create_dummy_training_results( + num_results=1, + storage_context=StorageContext( + storage_path=tmp_path, + experiment_dir_name="checkpoint_validation_management_failure_experiment", + ), + )[0] + + def failing_validate_fn(checkpoint, config): + return "invalid_return_type" + + vm.after_report( + training_report=_TrainingReport( + metrics=failing_training_result.metrics, + checkpoint=failing_training_result.checkpoint, + validation_spec=_ValidationSpec( + validate_fn=failing_validate_fn, + validate_config={}, + ), + ), + metrics={}, + ) + ray.wait( + list(vm._pending_validations.keys()), + num_returns=1, + timeout=100, + ) + assert vm._poll_validations() == 0 + checkpoint_manager.update_checkpoints_with_metrics.assert_called_once_with( + {failing_training_result.checkpoint: {}} + ) + + +def test_checkpoint_validation_management_slow_validate_fn(tmp_path): + checkpoint_manager = create_autospec(CheckpointManager, instance=True) + vm = validation_manager.ValidationManager(checkpoint_manager=checkpoint_manager) + timing_out_training_result = create_dummy_training_results( + num_results=1, + storage_context=StorageContext( + storage_path=tmp_path, + experiment_dir_name="checkpoint_validation_management_failure_experiment", + ), + )[0] + + def infinite_waiting_validate_fn(checkpoint, config): + while True: + time.sleep(1) + + vm.after_report( + training_report=_TrainingReport( + metrics=timing_out_training_result.metrics, + checkpoint=timing_out_training_result.checkpoint, + validation_spec=_ValidationSpec( + validate_fn=infinite_waiting_validate_fn, + validate_config={}, + ), + ), + metrics={}, + ) + assert vm._poll_validations() == 1 + + # Finish the task by cancelling it + timing_out_task = next(iter(vm._pending_validations)) + ray.cancel(timing_out_task) + with pytest.raises(ray.exceptions.TaskCancelledError): + ray.get(timing_out_task) + + # Verify that poll processes finished task + assert vm._poll_validations() == 0 + checkpoint_manager.update_checkpoints_with_metrics.assert_called_once_with( + { + timing_out_training_result.checkpoint: {}, + } + ) + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", "-x", __file__])) diff --git a/python/ray/train/v2/tests/test_worker_group.py b/python/ray/train/v2/tests/test_worker_group.py index 8bf83334fcd7..9e701b8e43e9 100644 --- a/python/ray/train/v2/tests/test_worker_group.py +++ b/python/ray/train/v2/tests/test_worker_group.py @@ -452,7 +452,7 @@ def populate_result_queue(): status = wg.poll_status() assert all( - worker_status.training_result + worker_status.training_report for worker_status in status.worker_statuses.values() ) diff --git a/python/ray/train/v2/tests/util.py b/python/ray/train/v2/tests/util.py index a140b4add6c5..34992a8af21a 100644 --- a/python/ray/train/v2/tests/util.py +++ b/python/ray/train/v2/tests/util.py @@ -1,8 +1,12 @@ +import os import time import uuid -from typing import Optional +from pathlib import Path +from typing import List, Optional from unittest.mock import MagicMock +from ray.train import Checkpoint +from ray.train._internal.session import _TrainingResult from ray.train.context import TrainContext from ray.train.v2._internal.execution.context import ( DistributedContext, @@ -17,6 +21,7 @@ ScalingDecision, ScalingPolicy, ) +from ray.train.v2._internal.execution.storage import StorageContext from ray.train.v2._internal.execution.worker_group import ( WorkerGroup, WorkerGroupContext, @@ -76,6 +81,9 @@ def _start(self): def shutdown(self): self._worker_group_state = None + def abort(self): + pass + # === Test methods === def error_worker(self, worker_index): status = self._worker_statuses[worker_index] @@ -259,3 +267,27 @@ def create_dummy_train_context() -> TrainContext: TrainContext: A standardized TrainContext instance for testing. """ return DummyTrainContext() + + +def create_dummy_training_results( + num_results: int, + storage_context: StorageContext, + include_metrics: bool = True, +) -> List[_TrainingResult]: + training_results = [] + for i in range(num_results): + metrics = {"score": i} if include_metrics else {} + checkpoint_path = os.path.join( + storage_context.experiment_fs_path, f"checkpoint_{i}" + ) + os.makedirs(checkpoint_path, exist_ok=True) + training_results.append( + _TrainingResult( + checkpoint=Checkpoint( + path=Path(checkpoint_path).as_posix(), + filesystem=storage_context.storage_filesystem, + ), + metrics=metrics, + ) + ) + return training_results From 5d9e1e79f93762b556369a403c612a2f42214e44 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 29 Sep 2025 14:34:17 -0700 Subject: [PATCH 1445/1566] [rllib] change rllib flaky tests tag to `rllib_flaky` (#56991) this will stop running rllib flaky tests on every single commit Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/rllib.rayci.yml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/.buildkite/rllib.rayci.yml b/.buildkite/rllib.rayci.yml index e6ecb9ab30b4..e1e136410fb4 100644 --- a/.buildkite/rllib.rayci.yml +++ b/.buildkite/rllib.rayci.yml @@ -180,6 +180,7 @@ steps: tags: - rllib_gpu - gpu + - rllib_flaky - skip-on-premerge instance_type: gpu-large commands: @@ -196,7 +197,7 @@ steps: tags: - rllib_gpu - gpu - - flaky + - rllib_flaky - skip-on-premerge instance_type: gpu commands: @@ -212,7 +213,7 @@ steps: key: rllib_flaky_tests_01 tags: - rllib - - flaky + - rllib_flaky - skip-on-premerge instance_type: large commands: @@ -242,7 +243,7 @@ steps: key: rllib_flaky_tests_02 tags: - rllib - - flaky + - rllib_flaky - skip-on-premerge instance_type: large commands: From ca0db46add11b3079787b4c708a5f7b9dbc4f338 Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Mon, 29 Sep 2025 14:34:47 -0700 Subject: [PATCH 1446/1566] [ci] updating regex match for release test filtering (#56437) updating regex from fullmatch to match for test filtering Regex match for the following needs to include the suffix variations : `name:entity_recognition_with_llms.aws` or `name:entity_recognition_with_llms.gce` ``` - name: entity_recognition_with_llms # do not use dashes (regex sensitive) frequency: weekly python: "3.11" group: ray-examples team: ml working_dir: //doc/source/ray-overview/examples/entity-recognition-with-llms # use // to access from repo's root cluster: byod: type: llm-cu128 # anyscale/ray-llm:-py311-cu128 post_build_script: byod_llm_ner.sh # release/ray_release/byod/ cluster_compute: ci/aws.yaml # relative to working_dir run: timeout: 3600 script: bash ci/tests.sh # relative to working_dir variations: - __suffix__: aws # uses default specs above - __suffix__: gce env: gce frequency: manual cluster: cluster_compute: ci/gce.yaml # relative to working_dir ``` --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/ray_release/buildkite/filter.py | 2 +- release/ray_release/tests/test_buildkite.py | 10 +++++++++- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/release/ray_release/buildkite/filter.py b/release/ray_release/buildkite/filter.py index c2685f124918..2f3c7c01d1fe 100644 --- a/release/ray_release/buildkite/filter.py +++ b/release/ray_release/buildkite/filter.py @@ -48,7 +48,7 @@ def filter_tests( break else: # Match filters using regex attr_value = _unflattened_lookup(test, attr) or "" - if not re.fullmatch(value, attr_value): + if not re.match(value, attr_value): attr_mismatch = True break if attr_mismatch: diff --git a/release/ray_release/tests/test_buildkite.py b/release/ray_release/tests/test_buildkite.py index 927d68a0c28c..e529704c1c9b 100644 --- a/release/ray_release/tests/test_buildkite.py +++ b/release/ray_release/tests/test_buildkite.py @@ -549,7 +549,15 @@ def testFilterTests(self, *args): filtered = self._filter_names( tests, frequency=Frequency.NIGHTLY, test_filters={"name": "test"} ) - self.assertSequenceEqual(filtered, []) + self.assertSequenceEqual( + filtered, + [ + ("test_1", False), + ("test_2", True), + ("test_3", False), + ("test_4.kuberay", False), + ], + ) filtered = self._filter_names( tests, From ffb86e7e14f5cca7d3cd52dc973fb6d41935c0be Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 29 Sep 2025 18:45:30 -0700 Subject: [PATCH 1447/1566] Revert "[ci] use --no-deps to avoid installing dependencies" (#57026) Reverts ray-project/ray#56979 the change is failing minimal install tests. Signed-off-by: Douglas Strodtman --- ci/ray_ci/tests.env.Dockerfile | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 984863794b70..904354927cbc 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -64,22 +64,16 @@ echo "--- Build dashboard" echo "--- Install Ray with -e" - -# Dependencies are already installed in the base CI images. -# So we use --no-deps to avoid reinstalling them. - -INSTALL_FLAGS=(--no-deps --force-reinstall -v -e) - if [[ "$BUILD_TYPE" == "debug" ]]; then - RAY_DEBUG_BUILD=debug pip install "${INSTALL_FLAGS[@]}" python/ + RAY_DEBUG_BUILD=debug pip install -v -e python/ elif [[ "$BUILD_TYPE" == "asan" ]]; then - pip install "${INSTALL_FLAGS[@]}" python/ + pip install -v -e python/ bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux - RAY_INSTALL_JAVA=1 pip install "${INSTALL_FLAGS[@]}" python/ + RAY_INSTALL_JAVA=1 pip install -v -e python/ else - pip install "${INSTALL_FLAGS[@]}" python/ + pip install -v -e python/ fi EOF From 69f9b6fd703bd7b45f13c9618295ab2a00e00507 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Mon, 29 Sep 2025 21:43:25 -0700 Subject: [PATCH 1448/1566] [core] split out test that needs java (#57007) and add `needs_java` tag to the test. this will allow us to run "normal" tests without java jdk and jre, where and running java related tests seperately Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD.bazel | 17 ++++++++ python/ray/tests/test_logging.py | 40 ------------------ python/ray/tests/test_logging_java.py | 58 +++++++++++++++++++++++++++ 3 files changed, 75 insertions(+), 40 deletions(-) create mode 100644 python/ray/tests/test_logging_java.py diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index cf0fb59e1d48..3d7d649345f6 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -376,6 +376,23 @@ py_test_module_list( ], ) +py_test_module_list( + size = "medium", + files = [ + "test_logging_java.py", + ], + tags = [ + "exclusive", + "medium_size_python_tests_k_to_z", + "needs_java", + "team:core", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test_module_list( size = "medium", files = [ diff --git a/python/ray/tests/test_logging.py b/python/ray/tests/test_logging.py index 837ebd9b8e95..633af0485dad 100644 --- a/python/ray/tests/test_logging.py +++ b/python/ray/tests/test_logging.py @@ -4,7 +4,6 @@ import re import subprocess import sys -import tempfile import time from collections import Counter, defaultdict from contextlib import redirect_stderr, redirect_stdout @@ -49,7 +48,6 @@ ) from ray._private.worker import print_worker_logs from ray.autoscaler._private.cli_logger import cli_logger -from ray.cross_language import java_actor_class def set_logging_config(monkeypatch, max_bytes, backup_count): @@ -626,44 +624,6 @@ def f(): ), f"Python stack trace not found in stderr: {stderr}" -@pytest.mark.skipif( - sys.platform == "win32" or sys.platform == "darwin", - reason="TODO(simon): Failing on Windows and OSX.", -) -def test_log_java_worker_logs(shutdown_only, capsys): - tmp_dir = tempfile.mkdtemp() - print("using tmp_dir", tmp_dir) - with open(os.path.join(tmp_dir, "MyClass.java"), "w") as f: - f.write( - """ -public class MyClass { - public int printToLog(String line) { - System.err.println(line); - return 0; - } -} - """ - ) - subprocess.check_call(["javac", "MyClass.java"], cwd=tmp_dir) - subprocess.check_call(["jar", "-cf", "myJar.jar", "MyClass.class"], cwd=tmp_dir) - - ray.init( - job_config=ray.job_config.JobConfig(code_search_path=[tmp_dir]), - ) - - handle = java_actor_class("MyClass").remote() - ray.get(handle.printToLog.remote("here's my random line!")) - - def check(): - out, err = capsys.readouterr() - out += err - with capsys.disabled(): - print(out) - return "here's my random line!" in out - - wait_for_condition(check) - - """ Unit testing log monitor. """ diff --git a/python/ray/tests/test_logging_java.py b/python/ray/tests/test_logging_java.py new file mode 100644 index 000000000000..786275b6be3f --- /dev/null +++ b/python/ray/tests/test_logging_java.py @@ -0,0 +1,58 @@ +import os +import subprocess +import sys +import tempfile + +import pytest + +import ray +from ray._common.test_utils import wait_for_condition +from ray.cross_language import java_actor_class + +# Source code of MyClass.java +_MY_CLASS_JAVA = """ +public class MyClass { + public int printToLog(String line) { + System.err.println(line); + return 0; + } +} +""" + + +@pytest.mark.skipif( + sys.platform == "win32" or sys.platform == "darwin", + reason="Does not work on Windows and OSX.", +) +def test_log_java_worker_logs(shutdown_only, capsys): + with tempfile.TemporaryDirectory() as tmp_dir: + print("using tmp_dir", tmp_dir) + with open(os.path.join(tmp_dir, "MyClass.java"), "w") as f: + f.write(_MY_CLASS_JAVA) + subprocess.check_call(["javac", "MyClass.java"], cwd=tmp_dir) + subprocess.check_call(["jar", "-cf", "myJar.jar", "MyClass.class"], cwd=tmp_dir) + + ray.init( + job_config=ray.job_config.JobConfig(code_search_path=[tmp_dir]), + ) + + handle = java_actor_class("MyClass").remote() + ray.get(handle.printToLog.remote("here's my random line!")) + + def check(): + out, err = capsys.readouterr() + out += err + with capsys.disabled(): + print(out) + return "here's my random line!" in out + + wait_for_condition(check) + + ray.shutdown() + + +if __name__ == "__main__": + # Make subprocess happy in bazel. + os.environ["LC_ALL"] = "en_US.UTF-8" + os.environ["LANG"] = "en_US.UTF-8" + sys.exit(pytest.main(["-sv", __file__])) From a55e882f56262a66918fe3c8ece78e6ee13e802a Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 29 Sep 2025 21:45:50 -0700 Subject: [PATCH 1449/1566] [core] fix src/ray/observability/tests/ray_event_recorder_test (#57029) The test was broken by logical merge conflict between https://github.com/ray-project/ray/pull/56558 and a few other PR. This PR fixes a few issues: - `DriverExecutionEvent` was replaced by `DriverLifecycleEvent` so we fix it here - Sort the list of test events in a deterministic order for testing (since the merge function might re-arrange) them Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- .../tests/ray_event_recorder_test.cc | 20 ++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 47562887f7cb..119cb7a2db60 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -84,10 +84,10 @@ TEST_F(RayEventRecorderTest, TestMergeEvents) { data.set_job_id("test_job_id"); std::vector> events; - events.push_back(std::make_unique( - data, rpc::events::DriverJobExecutionEvent::CREATED, "test_session_name")); - events.push_back(std::make_unique( - data, rpc::events::DriverJobExecutionEvent::FINISHED, "test_session_name")); + events.push_back(std::make_unique( + data, rpc::events::DriverJobLifecycleEvent::CREATED, "test_session_name")); + events.push_back(std::make_unique( + data, rpc::events::DriverJobLifecycleEvent::FINISHED, "test_session_name")); recorder_->AddEvents(std::move(events)); io_service_.run_one(); @@ -96,10 +96,10 @@ TEST_F(RayEventRecorderTest, TestMergeEvents) { ASSERT_EQ(recorded_events.size(), 1); ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); ASSERT_EQ(recorded_events[0].session_name(), "test_session_name"); - auto states = recorded_events[0].driver_job_execution_event().states(); + auto states = recorded_events[0].driver_job_lifecycle_event().state_transitions(); ASSERT_EQ(states.size(), 2); - ASSERT_EQ(states[0].state(), rpc::events::DriverJobExecutionEvent::CREATED); - ASSERT_EQ(states[1].state(), rpc::events::DriverJobExecutionEvent::FINISHED); + ASSERT_EQ(states[0].state(), rpc::events::DriverJobLifecycleEvent::CREATED); + ASSERT_EQ(states[1].state(), rpc::events::DriverJobLifecycleEvent::FINISHED); } TEST_F(RayEventRecorderTest, TestRecordEvents) { @@ -149,6 +149,12 @@ TEST_F(RayEventRecorderTest, TestRecordEvents) { io_service_.run_one(); std::vector recorded_events = fake_client_->GetRecordedEvents(); + std::sort(recorded_events.begin(), + recorded_events.end(), + [](const rpc::events::RayEvent &a, const rpc::events::RayEvent &b) { + return a.session_name() < b.session_name(); + }); + // Verify events ASSERT_EQ(recorded_events.size(), 4); ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); From 7927a48dad61e9647c60f996d5f1adb48bc4c755 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Mon, 29 Sep 2025 22:31:12 -0700 Subject: [PATCH 1450/1566] [core] fix test state api and dashboard flakiness (#56966) Signed-off-by: Cuong Nguyen Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_node_manager.cc | 5 ++--- src/ray/gcs/tests/gcs_node_manager_test.cc | 24 ++++++++-------------- 2 files changed, 10 insertions(+), 19 deletions(-) diff --git a/src/ray/gcs/gcs_node_manager.cc b/src/ray/gcs/gcs_node_manager.cc index 0dac4c9379e2..964e36f6e8d4 100644 --- a/src/ray/gcs/gcs_node_manager.cc +++ b/src/ray/gcs/gcs_node_manager.cc @@ -185,13 +185,12 @@ void GcsNodeManager::HandleUnregisterNode(rpc::UnregisterNodeRequest request, node_info_delta->set_state(node->state()); node_info_delta->set_end_time_ms(node->end_time_ms()); - auto on_put_done = [this, node_id, node_info_delta, node, send_reply_callback, reply]( - const Status &status) { + auto on_put_done = [this, node_id, node_info_delta, node](const Status &status) { gcs_publisher_->PublishNodeInfo(node_id, *node_info_delta); WriteNodeExportEvent(*node, /*is_register_event*/ false); - GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); }; gcs_table_storage_->NodeTable().Put(node_id, *node, {on_put_done, io_context_}); + GCS_RPC_SEND_REPLY(send_reply_callback, reply, Status::OK()); } void GcsNodeManager::HandleDrainNode(rpc::DrainNodeRequest request, diff --git a/src/ray/gcs/tests/gcs_node_manager_test.cc b/src/ray/gcs/tests/gcs_node_manager_test.cc index 2a931f566805..17154f51bbc6 100644 --- a/src/ray/gcs/tests/gcs_node_manager_test.cc +++ b/src/ray/gcs/tests/gcs_node_manager_test.cc @@ -70,17 +70,13 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { rpc::RegisterNodeRequest register_request; register_request.mutable_node_info()->CopyFrom(*node); rpc::RegisterNodeReply register_reply; - std::atomic_int callbacks_remaining = 1; - auto send_register_reply_callback = [&callbacks_remaining](ray::Status status, - std::function f1, - std::function f2) { - callbacks_remaining--; - }; + auto send_register_reply_callback = + [](ray::Status status, std::function f1, std::function f2) {}; // Add a node to the manager node_manager.HandleRegisterNode( register_request, ®ister_reply, send_register_reply_callback); - while (callbacks_remaining > 0) { - io_context_->run_one(); + // Exhaust the event loop + while (io_context_->poll() > 0) { } auto register_events = fake_ray_event_recorder_->FlushBuffer(); @@ -118,16 +114,12 @@ TEST_F(GcsNodeManagerTest, TestRayEventNodeEvents) { rpc::NodeDeathInfo::EXPECTED_TERMINATION); unregister_request.mutable_node_death_info()->set_reason_message("mock reason message"); rpc::UnregisterNodeReply unregister_reply; - callbacks_remaining = 1; - auto send_unregister_reply_callback = [&callbacks_remaining](ray::Status status, - std::function f1, - std::function f2) { - callbacks_remaining--; - }; + auto send_unregister_reply_callback = + [](ray::Status status, std::function f1, std::function f2) {}; node_manager.HandleUnregisterNode( unregister_request, &unregister_reply, send_unregister_reply_callback); - while (callbacks_remaining > 0) { - io_context_->run_one(); + // Exhaust the event loop + while (io_context_->poll() > 0) { } // Test the dead node lifecycle event From afd45c9bb67c2518b346d5fa41c557041bf51970 Mon Sep 17 00:00:00 2001 From: Goutam Date: Mon, 29 Sep 2025 23:41:04 -0700 Subject: [PATCH 1451/1566] [Data] - Groupby benchmark - sort shuffle pull based (#57014) The release test (aggregate_groups_fixed_size_sort_shuffle_pull_based_column02 column14) for pull based sort shuffle was OOMing. To address this, I reduced the number of blocks to 100 in the read layer. Related issue: DATA-1399 --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- release/nightly_tests/dataset/groupby_benchmark.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/release/nightly_tests/dataset/groupby_benchmark.py b/release/nightly_tests/dataset/groupby_benchmark.py index 3114d53bc269..7cc0f15215fa 100644 --- a/release/nightly_tests/dataset/groupby_benchmark.py +++ b/release/nightly_tests/dataset/groupby_benchmark.py @@ -53,8 +53,15 @@ def benchmark_fn(): DataContext.get_current().shuffle_strategy = ShuffleStrategy( args.shuffle_strategy ) - - grouped_ds = ray.data.read_parquet(path).groupby(args.group_by) + # TODO: Don't override once we fix range-based shuffle + override_num_blocks = ( + 100 + if args.shuffle_strategy == ShuffleStrategy.SORT_SHUFFLE_PULL_BASED.value + else None + ) + grouped_ds = ray.data.read_parquet( + path, override_num_blocks=override_num_blocks + ).groupby(args.group_by) consume_fn(grouped_ds) # Report arguments for the benchmark. From d499847151967229b7128229349cb03d5eeb44d1 Mon Sep 17 00:00:00 2001 From: Sampan S Nayak Date: Tue, 30 Sep 2025 12:27:31 +0530 Subject: [PATCH 1452/1566] [Core] Delete gcs based actor scheduling tests in test_advanced_5 (#56833) Signed-off-by: sampan Co-authored-by: sampan Signed-off-by: Douglas Strodtman --- python/ray/tests/test_advanced_5.py | 132 ---------------------------- 1 file changed, 132 deletions(-) diff --git a/python/ray/tests/test_advanced_5.py b/python/ray/tests/test_advanced_5.py index e3cceb153781..53fe46e8faa7 100644 --- a/python/ray/tests/test_advanced_5.py +++ b/python/ray/tests/test_advanced_5.py @@ -1,13 +1,10 @@ # coding: utf-8 import logging import sys -import time import numpy as np import pytest -import ray.cluster_utils -from ray._common.test_utils import SignalActor from ray._private.test_utils import client_test_enabled if client_test_enabled(): @@ -56,134 +53,5 @@ def bar(): ray.get(bar.remote()) -# This case tests whether gcs-based actor scheduler works properly with -# a normal task co-existed. -def test_schedule_actor_and_normal_task(ray_start_cluster_enabled): - cluster = ray_start_cluster_enabled - cluster.add_node( - memory=1024**3, _system_config={"gcs_actor_scheduling_enabled": True} - ) - ray.init(address=cluster.address) - cluster.wait_for_nodes() - - @ray.remote(memory=600 * 1024**2, num_cpus=0.01) - class Foo: - def method(self): - return 2 - - @ray.remote(memory=600 * 1024**2, num_cpus=0.01) - def fun(singal1, signal_actor2): - signal_actor2.send.remote() - ray.get(singal1.wait.remote()) - return 1 - - singal1 = SignalActor.remote() - signal2 = SignalActor.remote() - - o1 = fun.remote(singal1, signal2) - # Make sure the normal task is executing. - ray.get(signal2.wait.remote()) - - # The normal task is blocked now. - # Try to create actor and make sure this actor is not created for the time - # being. - foo = Foo.remote() - o2 = foo.method.remote() - ready_list, remaining_list = ray.wait([o2], timeout=2) - assert len(ready_list) == 0 and len(remaining_list) == 1 - - # Send a signal to unblock the normal task execution. - ray.get(singal1.send.remote()) - - # Check the result of normal task. - assert ray.get(o1) == 1 - - # Make sure the actor is created. - assert ray.get(o2) == 2 - - -# This case tests whether gcs actor scheduler distributes actors -# in a balanced way if using `SPREAD` policy. -@pytest.mark.parametrize("args", [[5, 20], [5, 3]]) -def test_actor_distribution_balance(ray_start_cluster_enabled, args): - cluster = ray_start_cluster_enabled - - node_count = args[0] - actor_count = args[1] - - for i in range(node_count): - cluster.add_node( - memory=1024**3, - _system_config={"gcs_actor_scheduling_enabled": True} if i == 0 else {}, - ) - ray.init(address=cluster.address) - cluster.wait_for_nodes() - - @ray.remote(memory=100 * 1024**2, num_cpus=0.01, scheduling_strategy="SPREAD") - class Foo: - def method(self): - return ray._private.worker.global_worker.node.unique_id - - actor_distribution = {} - actor_list = [Foo.remote() for _ in range(actor_count)] - for actor in actor_list: - node_id = ray.get(actor.method.remote()) - if node_id not in actor_distribution.keys(): - actor_distribution[node_id] = [] - actor_distribution[node_id].append(actor) - - if node_count >= actor_count: - assert len(actor_distribution) == actor_count - for node_id, actors in actor_distribution.items(): - assert len(actors) == 1 - else: - assert len(actor_distribution) == node_count - for node_id, actors in actor_distribution.items(): - assert len(actors) <= int(actor_count / node_count) - - -# This case tests whether RequestWorkerLeaseReply carries normal task resources -# when the request is rejected (due to resource preemption by normal tasks). -def test_worker_lease_reply_with_resources(ray_start_cluster_enabled): - cluster = ray_start_cluster_enabled - cluster.add_node( - memory=2000 * 1024**2, - num_cpus=1, - _system_config={ - "gcs_resource_report_poll_period_ms": 1000000, - "gcs_actor_scheduling_enabled": True, - }, - ) - node2 = cluster.add_node(memory=1000 * 1024**2, num_cpus=1) - ray.init(address=cluster.address) - cluster.wait_for_nodes() - - @ray.remote(memory=1500 * 1024**2, num_cpus=0.01) - def fun(signal): - signal.send.remote() - time.sleep(30) - return 0 - - signal = SignalActor.remote() - fun.remote(signal) - # Make sure that the `fun` is running. - ray.get(signal.wait.remote()) - - @ray.remote(memory=800 * 1024**2, num_cpus=0.01) - class Foo: - def method(self): - return ray._private.worker.global_worker.node.unique_id - - foo1 = Foo.remote() - o1 = foo1.method.remote() - ready_list, remaining_list = ray.wait([o1], timeout=10) - # If RequestWorkerLeaseReply carries normal task resources, - # GCS will then schedule foo1 to node2. Otherwise, - # GCS would keep trying to schedule foo1 to - # node1 and getting rejected. - assert len(ready_list) == 1 and len(remaining_list) == 0 - assert ray.get(o1) == node2.unique_id - - if __name__ == "__main__": sys.exit(pytest.main(["-sv", __file__])) From 60cb3b6163f5d943bb83a223d93c76a5c66c72e9 Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 30 Sep 2025 06:53:05 -0700 Subject: [PATCH 1453/1566] [core] New StatusSet and StatusSetOr with variant + tag classes (#55193) ### Proposal for status based on discussions Ideally we want a way to use a common set of statuses across the codebase, but still limit function return types to just a specific subset of statuses. The way to do this is by moving away from an status enum class with an enum per error, but towards a status namespace with a class per error. Languages like Rust offer pattern matching through enums, but C++ actually offers pattern matching through types. So taking this one step further means that since other languages do errors through enums, C++ should do errors through classes. So here, each error gets its own class and you can do pattern matching on the variant with std::visit. Having the variant gives us a native way to type check and unwrap all the types. We still want a way to ergonomically handle the ok case separately from others, so I'm boxing the variant inside an optional and wrapping the whole thing up in a templated class to offer better names. --- > [!NOTE] > Introduce variant-based typed status results (`StatusSet`, `StatusSetOr`) with tag error classes and tests, alongside existing legacy Status. > > - **Core**: > - **Typed status API**: Add `StatusT::*` tag classes, `StatusSet<...>` and `StatusSetOr` wrappers, and `overloaded` helper for `std::visit` in `src/ray/common/status.h` (with new ``/`` includes). Kept legacy `Status` API alongside. > - **Tests**: > - Add unit tests for `StatusSet` and `StatusSetOr`; refactor existing `StatusTest` cases from `TEST_F` to `TEST` and remove the unused fixture. > - **Misc**: > - Trivial whitespace change in `cgroup_driver_interface.h`. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit b904b5f74ad17a5d2ecea9aa11d60a7a0bfe80e6. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). --------- Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- .../common/cgroup2/cgroup_driver_interface.h | 1 + src/ray/common/status.h | 171 +++++++++++++++++- src/ray/common/tests/status_test.cc | 62 ++++++- 3 files changed, 227 insertions(+), 7 deletions(-) diff --git a/src/ray/common/cgroup2/cgroup_driver_interface.h b/src/ray/common/cgroup2/cgroup_driver_interface.h index 6aa4cb492f52..186ff3cf7483 100644 --- a/src/ray/common/cgroup2/cgroup_driver_interface.h +++ b/src/ray/common/cgroup2/cgroup_driver_interface.h @@ -228,4 +228,5 @@ class CgroupDriverInterface { virtual Status AddProcessToCgroup(const std::string &cgroup, const std::string &pid) = 0; }; + } // namespace ray diff --git a/src/ray/common/status.h b/src/ray/common/status.h index 58c83f3abb8f..2544918ac263 100644 --- a/src/ray/common/status.h +++ b/src/ray/common/status.h @@ -30,7 +30,9 @@ #include #include +#include #include +#include #include "absl/strings/str_cat.h" #include "ray/common/macros.h" @@ -39,10 +41,177 @@ #include "ray/util/macros.h" #include "ray/util/visibility.h" +////////////////////////////// +// USAGE EXAMPLE FOR StatusSet +////////////////////////////// + +// Function that only returns IOError or OutOfMemory +// StatusSet DoThing() { +// if (std::rand() % 2 == 0) { +// return StatusT::OK(); +// } +// return StatusT::OutOfMemory("error message"); +// } + +// Use the StatusSet +// void UseDoThing() { +// auto result = DoThing(); +// if (result.has_error()) { +// std::visit(overloaded{[](const StatusT::IOError &) { +// // Handle IOError +// }, +// [](const StatusT::OutOfMemory &) { +// // Handle OutOfMemory +// }}, +// result.error()); +// return; +// } +// RAY_CHECK(result.ok()); +// } + +//////////////////////////////// +// USAGE EXAMPLE FOR StatusSetOr +//////////////////////////////// + +// Function that only returns int64_t if it succeeds, otherwise returns IOError or +// OutOfMemory +// StatusSetOr DoThing() { +// if (std::rand() % 2 == 0) { +// return 100; +// } +// return StatusT::OutOfMemory("error message"); +// } + +// Use the StatusSetOr +// inline void UseDoThing() { +// auto result = DoThing(); +// if (result.has_error()) { +// std::visit(overloaded{[](const StatusT::IOError &) { +// // Handle IOError +// }, +// [](const StatusT::OutOfMemory &) { +// // Handle OutOfMemory +// }}, +// result.error()); +// return; +// } +// RAY_CHECK(result.has_value()); +// std::cout << "Got a result! " << result.value(); +// } + namespace boost::system { class error_code; } // namespace boost::system +namespace ray { + +// Just some magic for visiting a variant +// See https://en.cppreference.com/w/cpp/utility/variant/visit2.html +template +struct overloaded : Ts... { + using Ts::operator()...; +}; +// explicit deduction guide (not needed as of C++20) +template +overloaded(Ts...) -> overloaded; + +namespace StatusT { + +#define STATUS_TYPE(status_name) \ + class status_name { \ + public: \ + template < \ + typename T, \ + typename Enable = std::enable_if_t>> \ + explicit status_name(T &&message) : message_(std::forward(message)) {} \ + \ + const std::string &message() const { return message_; } \ + std::string &message() { return message_; } \ + \ + std::string ToString() const { \ + return absl::StrCat("StatusT: " #status_name ", Message: ", message_); \ + } \ + \ + private: \ + std::string message_; \ + }; + +class OK {}; + +STATUS_TYPE(OutOfMemory); +STATUS_TYPE(KeyError); +STATUS_TYPE(IOError); +STATUS_TYPE(Invalid); +STATUS_TYPE(NotFound); +STATUS_TYPE(PermissionDenied); +STATUS_TYPE(InvalidArgument); +STATUS_TYPE(AlreadyExists); + +}; // namespace StatusT + +template +class StatusSet { + public: + static_assert((!std::is_same_v && ...), + "OK cannot be an error type"); + + StatusSet(StatusT::OK ok) : error_(std::nullopt) {} + + template , StatusType>>> + StatusSet(StatusType &&status) : error_(std::forward(status)) {} + + bool ok() const { return !error_.has_value(); } + + bool has_error() const { return error_.has_value(); } + + const std::variant &error() const { return *error_; } + + std::variant &error() { return *error_; } + + private: + std::optional> error_; +}; + +template +class StatusSetOr { + public: + static_assert((!std::is_same_v && ...), + "Ok cannot be an error type"); + + template >, + ArgType>>> + StatusSetOr(ArgType &&value) : value_(std::forward(value)) {} + + bool has_value() const { return std::holds_alternative(value_); } + + bool has_error() const { + return std::holds_alternative>(value_); + } + + const ResultType &value() const { return std::get(value_); } + + ResultType &value() { return std::get(value_); } + + const std::variant &error() const { + return std::get>(value_); + } + + std::variant &error() { + return std::get>(value_); + } + + private: + std::variant> value_; +}; + +///////////////// +/// LEGACY STATUS +///////////////// + // Return the given status if it is not OK. #define RAY_RETURN_NOT_OK(s) \ do { \ @@ -59,8 +228,6 @@ class error_code; RAY_CHECK_WITH_DISPLAY(RAY_UNIQUE_VARIABLE(_s).ok(), #s) \ << "Status not OK: " << RAY_UNIQUE_VARIABLE(_s).ToString() << " " -namespace ray { - // If you add to this list, please also update kCodeToStr in status.cc. enum class StatusCode : char { OK = 0, diff --git a/src/ray/common/tests/status_test.cc b/src/ray/common/tests/status_test.cc index 84166968c5b4..0de332c0fc98 100644 --- a/src/ray/common/tests/status_test.cc +++ b/src/ray/common/tests/status_test.cc @@ -20,9 +20,8 @@ #include "ray/common/grpc_util.h" namespace ray { -class StatusTest : public ::testing::Test {}; -TEST_F(StatusTest, CopyAndMoveForOkStatus) { +TEST(StatusTest, CopyAndMoveForOkStatus) { // OK status. Status ok_status = Status::OK(); @@ -52,7 +51,7 @@ TEST_F(StatusTest, CopyAndMoveForOkStatus) { } } -TEST_F(StatusTest, CopyAndMoveErrorStatus) { +TEST(StatusTest, CopyAndMoveErrorStatus) { // Invalid status. Status invalid_status = Status::Invalid("invalid"); @@ -82,7 +81,7 @@ TEST_F(StatusTest, CopyAndMoveErrorStatus) { } } -TEST_F(StatusTest, StringToCode) { +TEST(StatusTest, StringToCode) { auto ok = Status::OK(); StatusCode status = Status::StringToCode(ok.CodeAsString()); ASSERT_EQ(status, StatusCode::OK); @@ -98,7 +97,7 @@ TEST_F(StatusTest, StringToCode) { ASSERT_EQ(Status::StringToCode("foobar"), StatusCode::IOError); } -TEST_F(StatusTest, GrpcStatusToRayStatus) { +TEST(StatusTest, GrpcStatusToRayStatus) { const Status ok = Status::OK(); auto grpc_status = RayStatusToGrpcStatus(ok); ASSERT_TRUE(GrpcStatusToRayStatus(grpc_status).ok()); @@ -124,4 +123,57 @@ TEST_F(StatusTest, GrpcStatusToRayStatus) { ASSERT_TRUE(ray_status.IsIOError()); } +TEST(StatusSetTest, TestStatusSetAPI) { + auto return_status_oom = []() -> StatusSet { + return StatusT::OutOfMemory("ooming because Ray Data is making too many objects"); + }; + auto error_status = return_status_oom(); + ASSERT_FALSE(error_status.ok()); + ASSERT_TRUE(error_status.has_error()); + bool hit_correct_visitor = false; + std::visit(overloaded{[](const StatusT::IOError &) {}, + [&](const StatusT::OutOfMemory &oom_status) { + ASSERT_EQ(oom_status.message(), + "ooming because Ray Data is making too many objects"); + hit_correct_visitor = true; + }}, + error_status.error()); + ASSERT_TRUE(hit_correct_visitor); + + auto return_status_ok = []() -> StatusSet { + return StatusT::OK(); + }; + auto status_ok = return_status_ok(); + ASSERT_TRUE(status_ok.ok()); + ASSERT_FALSE(status_ok.has_error()); +} + +TEST(StatusSetOrTest, TestStatusSetOrAPI) { + auto return_status_oom = + []() -> StatusSetOr { + return StatusT::OutOfMemory("ooming because Ray Data is making too many objects"); + }; + auto error_result = return_status_oom(); + ASSERT_FALSE(error_result.has_value()); + ASSERT_TRUE(error_result.has_error()); + bool hit_correct_visitor = false; + std::visit(overloaded{[](const StatusT::IOError &) {}, + [&](const StatusT::OutOfMemory &oom_status) { + ASSERT_EQ(oom_status.message(), + "ooming because Ray Data is making too many objects"); + hit_correct_visitor = true; + }}, + error_result.error()); + ASSERT_TRUE(hit_correct_visitor); + + auto return_value = + []() -> StatusSetOr { + return 100; + }; + auto result = return_value(); + ASSERT_TRUE(result.has_value()); + ASSERT_FALSE(result.has_error()); + ASSERT_TRUE(result.value() == 100); +} + } // namespace ray From 0c3e8c248e8d4a2862267f58c0a69e5b13f71822 Mon Sep 17 00:00:00 2001 From: Artur Niederfahrenhorst Date: Tue, 30 Sep 2025 15:58:27 +0200 Subject: [PATCH 1454/1566] [RLlib] Add tags to envrunner calls, count in flight requests in ActorManager [1/2] (#56930) ## Why are these changes needed? This is the first of two PRs. The end goal is to me able to track in flight requests per tag when applying more functions to env runners. Today, we only track in flight requests for sample() calls. Tomorrow, we want to track in flight requests for other calls separately, like updating weights. We want to track them separately because otherwise tasks can block each other by sending too many requests and clogging the shared number of in flight requests. The next step after this PR will be a follow up PR which introduces tags inside of `sync_env_runner_states` to limit the number of weight updates that are in flight at any given time. --- > [!NOTE] > Introduce per-tag async request accounting and tagging across EnvRunnerGroup/ActorManager, add foreach_env_runner_async_fetch_ready helper, and remove deprecated worker alias APIs/tests. > > - **EnvRunnerGroup**: > - Add tag support to async APIs: `num_in_flight_async_reqs(tag)`, `foreach_env_runner_async(func, tag, kwargs=...)`, and `fetch_ready_async_reqs(tags=...)`. > - New convenience API: `foreach_env_runner_async_fetch_ready(...)` to fetch ready results (by tag) and immediately enqueue new async calls. > - Remove deprecated worker alias APIs (`probe_unhealthy_workers`, `foreach_worker*`, `local_worker`, `_remote_workers`, `remote_workers`). > - **ActorManager**: > - Track in-flight async requests per tag via `_ActorState.num_in_flight_async_requests_by_tag`; add helpers to increment/decrement and query by tag. > - Enforce per-tag limits in `foreach_actor_async`; maintain `(tag, actor_id)` mapping for in-flight calls; support `num_outstanding_async_reqs(tag)`. > - `fetch_ready_async_reqs(tags=...)` and `_filter_calls_by_tag(tags)` accept None/strings/lists and update per-tag counters on completion; clear per-tag state on actor removal. > - **Tests**: > - Add `test_foreach_env_runner_async_fetch_ready` validating tagged async fetch helper. > - Update rollout worker tests to stop using removed `foreach_env_runner_with_id`. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 172f9acb0b8533c2d2ac9ffe59eaeb5aed24552c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: Douglas Strodtman --- rllib/env/env_runner_group.py | 175 ++++++------------ rllib/env/tests/test_env_runner_group.py | 35 ++++ rllib/evaluation/tests/test_rollout_worker.py | 4 - rllib/utils/actor_manager.py | 74 +++++--- 4 files changed, 144 insertions(+), 144 deletions(-) diff --git a/rllib/env/env_runner_group.py b/rllib/env/env_runner_group.py index 6974c1d30187..e9b376b82e11 100644 --- a/rllib/env/env_runner_group.py +++ b/rllib/env/env_runner_group.py @@ -1,4 +1,3 @@ -import functools import gymnasium as gym import logging import importlib.util @@ -38,7 +37,6 @@ from ray.rllib.utils.actor_manager import FaultTolerantActorManager from ray.rllib.utils.annotations import OldAPIStack from ray._common.deprecation import ( - Deprecated, deprecation_warning, DEPRECATED_VALUE, ) @@ -361,9 +359,9 @@ def num_healthy_workers(self) -> int: """Returns the number of all healthy workers, including the local worker.""" return self.num_healthy_env_runners() - def num_in_flight_async_reqs(self) -> int: + def num_in_flight_async_reqs(self, tag: Optional[str] = None) -> int: """Returns the number of in-flight async requests.""" - return self._worker_manager.num_outstanding_async_reqs() + return self._worker_manager.num_outstanding_async_reqs(tag=tag) def num_remote_worker_restarts(self) -> int: """Total number of times managed remote workers have been restarted.""" @@ -567,6 +565,41 @@ def sync_env_runner_states( timeout_seconds=0.0, # This is a state update -> Fire-and-forget. ) + def foreach_env_runner_async_fetch_ready( + self, + func: Union[ + Callable[[EnvRunner], T], List[Callable[[EnvRunner], T]], str, List[str] + ], + kwargs: Optional[Dict[str, Any]] = None, + tag: Optional[str] = None, + timeout_seconds: Optional[float] = 0.0, + return_obj_refs: bool = False, + mark_healthy: bool = False, + local_env_runner: bool = False, + healthy_only: bool = True, + remote_worker_ids: List[int] = None, + ) -> List[Tuple[int, T]]: + """Calls the given function asynchronously and returns previous results if any. + + This is a convenience function that calls `foreach_env_runner_async()` and `fetch_ready_async_reqs()`. + + """ + results = self.fetch_ready_async_reqs( + tags=tag, + timeout_seconds=timeout_seconds, + return_obj_refs=return_obj_refs, + mark_healthy=mark_healthy, + ) + self.foreach_env_runner_async( + func, + kwargs=kwargs, + tag=tag, + healthy_only=healthy_only, + remote_worker_ids=remote_worker_ids, + ) + + return results + def sync_weights( self, policies: Optional[List[PolicyID]] = None, @@ -859,84 +892,14 @@ def foreach_env_runner( return local_result + remote_results - # TODO (sven): Deprecate this API. Users can lookup the "worker index" from the - # EnvRunner object directly through `self.worker_index` (besides many other useful - # properties, like `in_evaluation`, `num_env_runners`, etc..). - def foreach_env_runner_with_id( - self, - func: Union[ - Callable[[int, EnvRunner], T], - List[Callable[[int, EnvRunner], T]], - str, - List[str], - ], - *, - local_env_runner: bool = True, - healthy_only: bool = True, - remote_worker_ids: List[int] = None, - timeout_seconds: Optional[float] = None, - return_obj_refs: bool = False, - mark_healthy: bool = False, - ) -> List[T]: - """Calls the given function with each EnvRunner and its ID as its arguments. - - Args: - func: The function to call for each EnvRunners. The call arguments are - the EnvRunner's index (int) and the respective EnvRunner instance - itself. - local_env_runner: Whether to apply `func` to the local EnvRunner, too. - Default is True. - healthy_only: Apply `func` on known-to-be healthy EnvRunners only. - remote_worker_ids: Apply `func` on a selected set of remote EnvRunners. - timeout_seconds: Time to wait for results. Default is None. - return_obj_refs: Whether to return ObjectRef instead of actual results. - Note, for fault tolerance reasons, these returned ObjectRefs should - never be resolved with ray.get() outside of this EnvRunnerGroup. - mark_healthy: Whether to mark all those EnvRunners healthy again that are - currently marked unhealthy AND that returned results from the remote - call (within the given `timeout_seconds`). - Note that workers are NOT set unhealthy, if they simply time out - (only if they return a RayActorError). - Also note that this setting is ignored if `healthy_only=True` (b/c - `mark_healthy` only affects EnvRunners that are currently tagged as - unhealthy). - - Returns: - The list of return values of all calls to `func([worker, id])`. - """ - local_result = [] - if local_env_runner and self.local_env_runner is not None: - local_result = [func(0, self.local_env_runner)] - - if not remote_worker_ids: - remote_worker_ids = self._worker_manager.actor_ids() - - funcs = [functools.partial(func, i) for i in remote_worker_ids] - - remote_results = self._worker_manager.foreach_actor( - funcs, - healthy_only=healthy_only, - remote_actor_ids=remote_worker_ids, - timeout_seconds=timeout_seconds, - return_obj_refs=return_obj_refs, - mark_healthy=mark_healthy, - ) - - FaultTolerantActorManager.handle_remote_call_result_errors( - remote_results, - ignore_ray_errors=self._ignore_ray_errors_on_env_runners, - ) - - remote_results = [r.get() for r in remote_results.ignore_errors()] - - return local_result + remote_results - def foreach_env_runner_async( self, func: Union[ Callable[[EnvRunner], T], List[Callable[[EnvRunner], T]], str, List[str] ], + tag: Optional[str] = None, *, + kwargs=None, healthy_only: bool = True, remote_worker_ids: List[int] = None, ) -> int: @@ -948,6 +911,12 @@ def foreach_env_runner_async( Args: func: The function to call for each EnvRunners. The only call argument is the respective EnvRunner instance. + tag: A tag to identify the results from this async call when fetching with + `fetch_ready_async_reqs()`. + kwargs: An optional kwargs dict to be passed to the remote function calls. + local_env_runner: Whether to apply `func` to local EnvRunner, too. + Default is False (unlike the sync version, async calls typically don't + need the local runner). healthy_only: Apply `func` on known-to-be healthy EnvRunners only. remote_worker_ids: Apply `func` on a selected set of remote EnvRunners. @@ -956,10 +925,13 @@ def foreach_env_runner_async( length of `remote_worker_ids` (or self.num_remote_workers()` if `remote_worker_ids` is None) minus the number of requests that were NOT made b/c a remote EnvRunner already had its - `max_remote_requests_in_flight_per_actor` counter reached. + `max_remote_requests_in_flight_per_actor` counter reached for this tag. """ + return self._worker_manager.foreach_actor_async( func, + tag=tag, + kwargs=kwargs, healthy_only=healthy_only, remote_actor_ids=remote_worker_ids, ) @@ -967,13 +939,17 @@ def foreach_env_runner_async( def fetch_ready_async_reqs( self, *, + tags: Optional[Union[str, List[str], Tuple[str]]] = None, timeout_seconds: Optional[float] = 0.0, return_obj_refs: bool = False, mark_healthy: bool = False, ) -> List[Tuple[int, T]]: - """Get esults from outstanding asynchronous requests that are ready. + """Get results from outstanding asynchronous requests that are ready. Args: + tags: Tags to identify the results from a specific async call. + If None (default), returns results from all ready async requests. + If a single string, returns results from all ready async requests with that tag. timeout_seconds: Time to wait for results. Default is 0, meaning those requests that are already ready. return_obj_refs: Whether to return ObjectRef instead of actual results. @@ -990,7 +966,9 @@ def fetch_ready_async_reqs( A list of results successfully returned from outstanding remote calls, paired with the indices of the callee workers. """ + # Get remote results remote_results = self._worker_manager.fetch_ready_async_reqs( + tags=tags, timeout_seconds=timeout_seconds, return_obj_refs=return_obj_refs, mark_healthy=mark_healthy, @@ -1323,44 +1301,3 @@ def _valid_module(cls, class_path): f"input {class_path}" ) return False - - @Deprecated(new="EnvRunnerGroup.probe_unhealthy_env_runners", error=False) - def probe_unhealthy_workers(self, *args, **kwargs): - return self.probe_unhealthy_env_runners(*args, **kwargs) - - @Deprecated(new="EnvRunnerGroup.foreach_env_runner", error=False) - def foreach_worker(self, *args, **kwargs): - return self.foreach_env_runner(*args, **kwargs) - - @Deprecated(new="EnvRunnerGroup.foreach_env_runner_with_id", error=False) - def foreach_worker_with_id(self, *args, **kwargs): - return self.foreach_env_runner_with_id(*args, **kwargs) - - @Deprecated(new="EnvRunnerGroup.foreach_env_runner_async", error=False) - def foreach_worker_async(self, *args, **kwargs): - return self.foreach_env_runner_async(*args, **kwargs) - - @Deprecated(new="EnvRunnerGroup.local_env_runner", error=True) - def local_worker(self) -> EnvRunner: - pass - - @property - @Deprecated( - old="_remote_workers", - new="Use either the `foreach_env_runner()`, `foreach_env_runner_with_id()`, or " - "`foreach_env_runner_async()` APIs of `EnvRunnerGroup`, which all handle fault " - "tolerance.", - error=True, - ) - def _remote_workers(self): - pass - - @Deprecated( - old="remote_workers()", - new="Use either the `foreach_env_runner()`, `foreach_env_runner_with_id()`, or " - "`foreach_env_runner_async()` APIs of `EnvRunnerGroup`, which all handle fault " - "tolerance.", - error=True, - ) - def remote_workers(self): - pass diff --git a/rllib/env/tests/test_env_runner_group.py b/rllib/env/tests/test_env_runner_group.py index f615bfc835b8..bdced0e1d7c1 100644 --- a/rllib/env/tests/test_env_runner_group.py +++ b/rllib/env/tests/test_env_runner_group.py @@ -1,6 +1,7 @@ import unittest import ray +import time from ray.rllib.algorithms.ppo import PPOConfig from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.env.env_runner_group import EnvRunnerGroup @@ -91,6 +92,40 @@ def test_foreach_env_runner_async(self): ws.stop() + def test_foreach_env_runner_async_fetch_ready(self): + """Test to make sure that test_foreach_env_runner_async_fetch_ready works.""" + ws = EnvRunnerGroup( + config=( + PPOConfig() + .environment("CartPole-v1") + .env_runners(num_env_runners=2, rollout_fragment_length=1) + ), + ) + + # Sample from both env runners. + # First call to foreach_env_runner_async_fetch_ready should not return ready results. + self.assertEqual( + len( + ws.foreach_env_runner_async_fetch_ready( + lambda w: w.sample(), + tag="sample", + ) + ), + 0, + ) + time.sleep(1) + + # Second call to foreach_env_runner_async_fetch_ready should return ready results. + self.assertEqual( + len( + ws.foreach_env_runner_async_fetch_ready( + lambda w: w.sample(), + tag="sample", + ) + ), + 2, + ) + if __name__ == "__main__": import pytest diff --git a/rllib/evaluation/tests/test_rollout_worker.py b/rllib/evaluation/tests/test_rollout_worker.py index 8aa6768c1e6d..5cb63beb05ad 100644 --- a/rllib/evaluation/tests/test_rollout_worker.py +++ b/rllib/evaluation/tests/test_rollout_worker.py @@ -218,14 +218,10 @@ def test_query_evaluators(self): results = algo.env_runner_group.foreach_env_runner( lambda w: w.total_rollout_fragment_length ) - results2 = algo.env_runner_group.foreach_env_runner_with_id( - lambda i, w: (i, w.total_rollout_fragment_length) - ) results3 = algo.env_runner_group.foreach_env_runner( lambda w: w.foreach_env(lambda env: 1) ) self.assertEqual(results, [10, 10, 10]) - self.assertEqual(results2, [(0, 10), (1, 10), (2, 10)]) self.assertEqual(results3, [[1, 1], [1, 1], [1, 1]]) algo.stop() diff --git a/rllib/utils/actor_manager.py b/rllib/utils/actor_manager.py index dd483e7b1fed..49e84555b182 100644 --- a/rllib/utils/actor_manager.py +++ b/rllib/utils/actor_manager.py @@ -1,6 +1,6 @@ from collections import defaultdict import copy -from dataclasses import dataclass +from dataclasses import dataclass, field import logging import sys import time @@ -237,11 +237,32 @@ def do_something(self): class _ActorState: """State of a single actor.""" - # Num of outstanding async requests for this actor. - num_in_flight_async_requests: int = 0 + # Num of outstanding async requests for this actor by tag. + num_in_flight_async_requests_by_tag: Dict[Optional[str], int] = field( + default_factory=dict + ) # Whether this actor is in a healthy state. is_healthy: bool = True + def get_num_in_flight_requests(self, tag: Optional[str] = None) -> int: + """Get number of in-flight requests for a specific tag or all tags.""" + if tag is None: + return sum(self.num_in_flight_async_requests_by_tag.values()) + return self.num_in_flight_async_requests_by_tag.get(tag, 0) + + def increment_requests(self, tag: Optional[str] = None) -> None: + """Increment the count of in-flight requests for a tag.""" + if tag not in self.num_in_flight_async_requests_by_tag: + self.num_in_flight_async_requests_by_tag[tag] = 0 + self.num_in_flight_async_requests_by_tag[tag] += 1 + + def decrement_requests(self, tag: Optional[str] = None) -> None: + """Decrement the count of in-flight requests for a tag.""" + if tag in self.num_in_flight_async_requests_by_tag: + self.num_in_flight_async_requests_by_tag[tag] -= 1 + if self.num_in_flight_async_requests_by_tag[tag] <= 0: + del self.num_in_flight_async_requests_by_tag[tag] + def __init__( self, actors: Optional[List[ActorHandle]] = None, @@ -339,9 +360,12 @@ def total_num_restarts(self) -> int: return self._num_actor_restarts @DeveloperAPI - def num_outstanding_async_reqs(self) -> int: + def num_outstanding_async_reqs(self, tag: Optional[str] = None) -> int: """Return the number of outstanding async requests.""" - return len(self._in_flight_req_to_actor_id) + return sum( + s.get_num_in_flight_requests(tag) + for s in self._remote_actor_states.values() + ) @DeveloperAPI def is_actor_healthy(self, actor_id: int) -> bool: @@ -543,18 +567,18 @@ def foreach_actor_async( ) num_calls_to_make: Dict[int, int] = defaultdict(lambda: 0) - # Drop calls to actors that are too busy. + # Drop calls to actors that are too busy for this specific tag. if isinstance(func, list): assert len(func) == len(remote_actor_ids) limited_func = [] limited_kwargs = [] limited_remote_actor_ids = [] for i, (f, raid) in enumerate(zip(func, remote_actor_ids)): - num_outstanding_reqs = self._remote_actor_states[ + num_outstanding_reqs_for_tag = self._remote_actor_states[ raid - ].num_in_flight_async_requests + ].get_num_in_flight_requests(tag) if ( - num_outstanding_reqs + num_calls_to_make[raid] + num_outstanding_reqs_for_tag + num_calls_to_make[raid] < self._max_remote_requests_in_flight_per_actor ): num_calls_to_make[raid] += 1 @@ -567,11 +591,11 @@ def foreach_actor_async( limited_kwargs = kwargs limited_remote_actor_ids = [] for raid in remote_actor_ids: - num_outstanding_reqs = self._remote_actor_states[ + num_outstanding_reqs_for_tag = self._remote_actor_states[ raid - ].num_in_flight_async_requests + ].get_num_in_flight_requests(tag) if ( - num_outstanding_reqs + num_calls_to_make[raid] + num_outstanding_reqs_for_tag + num_calls_to_make[raid] < self._max_remote_requests_in_flight_per_actor ): num_calls_to_make[raid] += 1 @@ -588,7 +612,7 @@ def foreach_actor_async( # Save these as outstanding requests. for id, call in zip(limited_remote_actor_ids, remote_calls): - self._remote_actor_states[id].num_in_flight_async_requests += 1 + self._remote_actor_states[id].increment_requests(tag) self._in_flight_req_to_actor_id[call] = (tag, id) return len(remote_calls) @@ -643,11 +667,11 @@ def fetch_ready_async_reqs( ) for obj_ref, result in zip(ready, remote_results): - # Decrease outstanding request on this actor by 1. - self._remote_actor_states[result.actor_id].num_in_flight_async_requests -= 1 - # Also, remove this call here from the in-flight list, - # obj_refs may have already been removed when we disable an actor. + # Get the tag for this request and decrease outstanding request count by 1. if obj_ref in self._in_flight_req_to_actor_id: + tag, actor_id = self._in_flight_req_to_actor_id[obj_ref] + self._remote_actor_states[result.actor_id].decrement_requests(tag) + # Remove this call from the in-flight list. del self._in_flight_req_to_actor_id[obj_ref] return remote_results @@ -940,12 +964,12 @@ def _filter_by_healthy_state( return func, kwargs, remote_actor_ids def _filter_calls_by_tag( - self, tags: Union[str, List[str], Tuple[str]] + self, tags: Optional[Union[str, List[str], Tuple[str]]] = None ) -> Tuple[List[ray.ObjectRef], List[ActorHandle], List[str]]: """Return all the in flight requests that match the given tags, if any. Args: - tags: A str or a list/tuple of str. If tags is empty, return all the in + tags: A str or a list/tuple of str. If tags is empty or None, return all the in flight requests. Returns: @@ -953,7 +977,9 @@ def _filter_calls_by_tag( a list of the corresponding remote actor IDs for these calls (same length), and a list of the tags corresponding to these calls (same length). """ - if isinstance(tags, str): + if tags is None: + tags = set() + elif isinstance(tags, str): tags = {tags} elif isinstance(tags, (list, tuple)): tags = set(tags) @@ -985,10 +1011,16 @@ def _remove_async_state(self, actor_id: int): # Remove any outstanding async requests for this actor. # Use `list` here to not change a looped generator while we mutate the # underlying dict. - for id, req in list(self._in_flight_req_to_actor_id.items()): + for req, (tag, id) in list(self._in_flight_req_to_actor_id.items()): if id == actor_id: del self._in_flight_req_to_actor_id[req] + # Clear all tag-based request counts for this actor + if actor_id in self._remote_actor_states: + self._remote_actor_states[ + actor_id + ].num_in_flight_async_requests_by_tag.clear() + def actors(self): # TODO(jungong) : remove this API once EnvRunnerGroup.remote_workers() # and EnvRunnerGroup._remote_workers() are removed. From f59ee5e0639728a40f397622a46fec7f30de274d Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 30 Sep 2025 07:08:17 -0700 Subject: [PATCH 1455/1566] [ci] updating pr template description (#57016) Updating pr template to tell users to run pre-commit instead of `scripts/format.sh` --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .github/PULL_REQUEST_TEMPLATE.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 1e1eb7a5c6a1..cf5918ec3c5d 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -13,7 +13,7 @@ ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. -- [ ] I've run `scripts/format.sh` to lint the changes in this PR. +- [ ] I've run pre-commit jobs to lint the changes in this PR. ([pre-commit setup](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html#lint-and-formatting)) - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the From 7c1dcd8afda5ae93eae0eb34b09ad537a57e53bf Mon Sep 17 00:00:00 2001 From: harshit-anyscale Date: Tue, 30 Sep 2025 21:03:02 +0530 Subject: [PATCH 1456/1566] fix windows tests (#57008) Signed-off-by: Douglas Strodtman --- python/ray/serve/tests/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index 301c1df1ea8a..5b0ba4347d0d 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -114,7 +114,6 @@ py_test_module_list( "test_replica_placement_group.py", "test_request_timeout.py", "test_streaming_response.py", - "test_target_capacity.py", "test_task_processor.py", "test_telemetry.py", ], @@ -163,6 +162,7 @@ py_test_module_list( "test_logging.py", "test_standalone.py", "test_standalone_3.py", + "test_target_capacity.py", "test_telemetry_1.py", "test_telemetry_2.py", ], From 546701191cf42827de2a4bc266d1f78ba29151e4 Mon Sep 17 00:00:00 2001 From: Goutam Date: Tue, 30 Sep 2025 11:09:15 -0700 Subject: [PATCH 1457/1566] [Data] - Fix mongo datasource collStats invocation (#57027) ## Why are these changes needed? The `collStats` command had the wrong capitalization for s, so the command failed on invocation. https://www.mongodb.com/docs/manual/reference/command/collstats/ ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Fixes MongoDB command name to `collStats` when retrieving `avgObjSize` in `MongoDatasource`. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit b017c045afd1063c4c75f4ee280aa027d43b4874. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/_internal/datasource/mongo_datasource.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/_internal/datasource/mongo_datasource.py b/python/ray/data/_internal/datasource/mongo_datasource.py index 58b57abd735e..e392482114ae 100644 --- a/python/ray/data/_internal/datasource/mongo_datasource.py +++ b/python/ray/data/_internal/datasource/mongo_datasource.py @@ -52,7 +52,7 @@ def _get_or_create_client(self): self._client, self._database, self._collection ) self._avg_obj_size = self._client[self._database].command( - "collstats", self._collection + "collStats", self._collection )["avgObjSize"] def get_read_tasks( From 6d99759bce0b1d8bf9cdd574919d6498bc1f649a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 12:08:37 -0700 Subject: [PATCH 1458/1566] [wheel] build java bits with wanda (#57021) these are not used on most of the CI, but will be used on building the final released version wheels. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 10 ++++++++++ .buildkite/linux_aarch64.rayci.yml | 11 +++++++++++ ci/docker/ray-java.Dockerfile | 31 ++++++++++++++++++++++++++++++ ci/docker/ray-java.wanda.yaml | 20 +++++++++++++++++++ 4 files changed, 72 insertions(+) create mode 100644 ci/docker/ray-java.Dockerfile create mode 100644 ci/docker/ray-java.wanda.yaml diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index 654512fd3f9b..ddbe71ad8be2 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -21,6 +21,16 @@ steps: tags: release_wheels depends_on: manylinux + - name: ray-java-build + label: "wanda: java build (x86_64)" + wanda: ci/docker/ray-java.wanda.yaml + tags: + - release_wheels + - oss + env: + ARCH_SUFFIX: "" + depends_on: manylinux + - label: ":tapioca: build: wheel {{matrix}} (x86_64)" key: linux_wheels tags: diff --git a/.buildkite/linux_aarch64.rayci.yml b/.buildkite/linux_aarch64.rayci.yml index 6ee61ec75b31..b5d1d7179732 100644 --- a/.buildkite/linux_aarch64.rayci.yml +++ b/.buildkite/linux_aarch64.rayci.yml @@ -13,6 +13,17 @@ steps: wanda: ci/docker/manylinux.aarch64.wanda.yaml instance_type: builder-arm64 + - name: ray-java-build-aarch64 + label: "wanda: java build (aarch64)" + wanda: ci/docker/ray-java.wanda.yaml + tags: + - release_wheels + - oss + env: + ARCH_SUFFIX: "-aarch64" + instance_type: builder-arm64 + depends_on: manylinux-aarch64 + - name: raycpubase-aarch64 label: "wanda: ray.py{{matrix}}.cpu.base (aarch64)" tags: diff --git a/ci/docker/ray-java.Dockerfile b/ci/docker/ray-java.Dockerfile new file mode 100644 index 000000000000..0b09e8328a3a --- /dev/null +++ b/ci/docker/ray-java.Dockerfile @@ -0,0 +1,31 @@ +# syntax=docker/dockerfile:1.3-labs +ARG ARCH_SUFFIX +FROM cr.ray.io/rayproject/manylinux$ARCH_SUFFIX AS builder + +ARG BUILDKITE_BAZEL_CACHE_URL +ARG BUILDKITE_CACHE_READONLY + +WORKDIR /home/forge/ray + +COPY . . + +RUN <> "$HOME/.bazelrc" +fi + +bazelisk build --config=ci //java:ray_java_pkg + +cp bazel-bin/java/ray_java_pkg.zip /home/forge/ray_java_pkg.zip + +EOF + +FROM scratch + +COPY --from=builder /home/forge/ray_java_pkg.zip / diff --git a/ci/docker/ray-java.wanda.yaml b/ci/docker/ray-java.wanda.yaml new file mode 100644 index 000000000000..29e64ec2a4bd --- /dev/null +++ b/ci/docker/ray-java.wanda.yaml @@ -0,0 +1,20 @@ +name: ray-java-build$ARCH_SUFFIX +froms: ["cr.ray.io/rayproject/manylinux$ARCH_SUFFIX"] +dockerfile: ci/docker/ray-java.Dockerfile +srcs: + - .bazelversion + - .bazelrc + - WORKSPACE + - BUILD.bazel + - bazel/ + - thirdparty/ + - src/ + - java/ + - gen_ray_pkg.py + - release/BUILD.bazel + - release/requirements_buildkite.txt +build_args: + - ARCH_SUFFIX + - BUILDKITE_BAZEL_CACHE_URL +build_hint_args: + - BUILDKITE_CACHE_READONLY From 1bc01146e8f62615353b6e71f095ea8349d2ae4f Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 30 Sep 2025 12:34:34 -0700 Subject: [PATCH 1459/1566] Running 4 core release tests tests on python 3.10 (#56967) Allowing for python ver 3.10 for release tests Migrating the following release tests to 3.10: shuffle_100gb stress_test_placement_group decision_tree_autoscaling_20_runs autoscaling_shuffle_1tb_1000_partitions Successful release test runs: https://buildkite.com/ray-project/release/builds/60568 --- > [!NOTE] > Enable Python 3.10 across release tests/pipelines, update validation/schema, migrate BYOD test deps to lockfiles, and move key core tests to 3.10. > > - **CI/Buildkite**: > - Add Python `3.10` to build matrices in `.buildkite/release/build.rayci.yml` for CPU/CUDA/ML images and release image builds. > - Migrate BYOD requirements to lockfiles: set `REQUIREMENTS_FILE` to `ray_base_extra_testdeps_py{{matrix}}.lock` / `ray_ml_base_extra_testdeps_py{{matrix.python}}.lock`. > - **Docker build**: > - `docker/base-extra-testdeps/cpu.wanda.yaml`: use `$REQUIREMENTS_FILE` in `srcs` and `PIP_REQUIREMENTS`. > - **Release tooling**: > - `release/ray_release/config.py`: allow Python `3.10` for BYOD types `cpu` and `cu123`. > - `release/ray_release/schema.json`: add Python `3.10` to `python` enum. > - **Tests**: > - `release/ray_release/tests/test_byod_build.py`: add a 3.10 BYOD test and expected image `py310-cpu`. > - **Release tests**: > - `release/release_tests.yaml`: set Python `"3.10"` for `shuffle_100gb`, `stress_test_placement_group`, `decision_tree_autoscaling_20_runs`, and `autoscaling_shuffle_1tb_1000_partitions`. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit dbb03e05582cd9fad154f4a5cabdd4e5cbb2674e. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). --------- Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- .buildkite/release/build.rayci.yml | 11 ++++++++--- docker/base-extra-testdeps/cpu.wanda.yaml | 2 +- release/ray_release/config.py | 7 ++++++- release/ray_release/schema.json | 1 + release/ray_release/tests/test_byod_build.py | 2 ++ release/release_tests.yaml | 4 ++++ 6 files changed, 22 insertions(+), 5 deletions(-) diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index 708b7b622aaf..977e6f02f913 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -5,12 +5,13 @@ steps: wanda: docker/base-extra-testdeps/cpu.wanda.yaml matrix: - "3.9" + - "3.10" - "3.11" - "3.12" env: PYTHON_VERSION: "{{matrix}}" IMAGE_TYPE: "ray" - REQUIREMENTS_FILE: "requirements_byod_{{matrix}}.txt" + REQUIREMENTS_FILE: "ray_base_extra_testdeps_py{{matrix}}.lock" depends_on: - raycpubaseextra @@ -21,6 +22,7 @@ steps: setup: python: - "3.9" + - "3.10" - "3.11" - "3.12" cuda: @@ -29,7 +31,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray" - REQUIREMENTS_FILE: "requirements_byod_{{matrix.python}}.txt" + REQUIREMENTS_FILE: "ray_base_extra_testdeps_py{{matrix.python}}.lock" depends_on: - raycudabaseextra @@ -57,13 +59,14 @@ steps: setup: python: - "3.9" + - "3.10" cuda: - "12.1.1-cudnn8" env: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray-ml" - REQUIREMENTS_FILE: "requirements_ml_byod_{{matrix.python}}.txt" + REQUIREMENTS_FILE: "ray_ml_base_extra_testdeps_py{{matrix.python}}.lock" depends_on: - ray-mlcudabaseextra @@ -87,6 +90,7 @@ steps: # This list should be kept in sync with the list of supported Python in # release test suite. We don't have release tests for Python 3.10 yet. - "3.9" + - "3.10" - "3.11" - "3.12" platform: @@ -125,3 +129,4 @@ steps: # release test suite. We don't have ray-ml release tests for Python 3.10 and 3.11 # yet. - "3.9" + - "3.10" diff --git a/docker/base-extra-testdeps/cpu.wanda.yaml b/docker/base-extra-testdeps/cpu.wanda.yaml index dbfa11ce5b11..d1517679bc70 100644 --- a/docker/base-extra-testdeps/cpu.wanda.yaml +++ b/docker/base-extra-testdeps/cpu.wanda.yaml @@ -2,7 +2,7 @@ name: "$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra-testdeps" froms: ["cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra"] dockerfile: release/ray_release/byod/byod.Dockerfile srcs: - - release/ray_release/byod/requirements_byod_$PYTHON_VERSION.txt + - release/ray_release/byod/$REQUIREMENTS_FILE build_args: - BASE_IMAGE=cr.ray.io/rayproject/$IMAGE_TYPE-py$PYTHON_VERSION-cpu-base-extra - PIP_REQUIREMENTS=release/ray_release/byod/$REQUIREMENTS_FILE diff --git a/release/ray_release/config.py b/release/ray_release/config.py index 2649caee0192..daf9dee62c37 100644 --- a/release/ray_release/config.py +++ b/release/ray_release/config.py @@ -264,7 +264,12 @@ def validate_byod_type(byod_type: str, python_version: str) -> None: raise Exception("GPU BYOD tests must use Python 3.9") if byod_type == "llm-cu124" and python_version != "3.11": raise Exception("LLM BYOD tests must use Python 3.11") - if byod_type in ["cpu", "cu123"] and python_version not in ["3.9", "3.11", "3.12"]: + if byod_type in ["cpu", "cu123"] and python_version not in [ + "3.9", + "3.10", + "3.11", + "3.12", + ]: raise Exception( f"Invalid Python version for BYOD type {byod_type}: {python_version}" ) diff --git a/release/ray_release/schema.json b/release/ray_release/schema.json index 9e84307e7673..43e6af29a5c4 100644 --- a/release/ray_release/schema.json +++ b/release/ray_release/schema.json @@ -28,6 +28,7 @@ "type": "string", "enum": [ "3.9", + "3.10", "3.11", "3.12" ] diff --git a/release/ray_release/tests/test_byod_build.py b/release/ray_release/tests/test_byod_build.py index 85d9907db0de..6b71dabd5b62 100644 --- a/release/ray_release/tests/test_byod_build.py +++ b/release/ray_release/tests/test_byod_build.py @@ -101,6 +101,7 @@ def _mock_image_exist(image: str) -> bool: python="3.9", cluster={"byod": {"type": "cpu"}}, ), + Test(name="aws", env="aws", python="3.10", cluster={"byod": {}}), Test(name="aws", env="aws", cluster={"byod": {"type": "cu121"}}), Test( name="aws", env="aws", python="3.9", cluster={"byod": {"type": "cu116"}} @@ -124,6 +125,7 @@ def _mock_image_exist(image: str) -> bool: f"{aws_cr}/anyscale/ray:a1b2c3d4-py311-cu118", f"{aws_cr}/anyscale/ray-ml:a1b2c3d4-py39-gpu", f"{gcp_cr}/anyscale/ray:a1b2c3d4-py39-cpu", + f"{aws_cr}/anyscale/ray:a1b2c3d4-py310-cpu", } diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 5aae249c09fd..4c5c9b94a30c 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2222,6 +2222,7 @@ ######################## - name: shuffle_100gb + python: "3.10" group: core-multi-test working_dir: nightly_tests @@ -2250,6 +2251,7 @@ - name: stress_test_placement_group + python: "3.10" group: core-multi-test working_dir: nightly_tests env: aws_perf @@ -2274,6 +2276,7 @@ cluster_compute: stress_tests/placement_group_tests_compute_gce.yaml - name: decision_tree_autoscaling_20_runs + python: "3.10" group: core-multi-test working_dir: nightly_tests @@ -2297,6 +2300,7 @@ cluster_compute: decision_tree/autoscaling_compute_gce.yaml - name: autoscaling_shuffle_1tb_1000_partitions + python: "3.10" group: core-multi-test working_dir: nightly_tests From d1e14773663def16cd083a5f398885027cc46bea Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Tue, 30 Sep 2025 13:09:18 -0700 Subject: [PATCH 1460/1566] [release] Running more core nightly tests on python 3.10 (#57043) running core nightly tests on python 3.10 chaos_many_tasks_kill_raylet chaos_many_tasks_terminate_instance chaos_many_actors_kill_raylet chaos_many_actors_terminate_instance Successful release tests: https://buildkite.com/ray-project/release/builds/60839 --- > [!NOTE] > Pins Python 3.10 for four core chaos nightly tests in `release/release_tests.yaml`. > > - **Core Chaos tests (release/release_tests.yaml)**: > - Set `python: "3.10"` for: > - `chaos_many_tasks_kill_raylet` > - `chaos_many_tasks_terminate_instance` > - `chaos_many_actors_kill_raylet` > - `chaos_many_actors_terminate_instance` > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit e93388508f8e540f72114951a58bf8aa5c9b4b34. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). --------- Signed-off-by: elliot-barn Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 4c5c9b94a30c..7ea01cd29a81 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -3251,6 +3251,7 @@ ################## - name: chaos_many_tasks_kill_raylet + python: "3.10" group: core-nightly-test working_dir: nightly_tests @@ -3276,6 +3277,7 @@ cluster_compute: chaos_test/compute_template_gce.yaml - name: chaos_many_tasks_terminate_instance + python: "3.10" group: core-nightly-test working_dir: nightly_tests @@ -3296,6 +3298,7 @@ - __suffix__: aws - name: chaos_many_actors_kill_raylet + python: "3.10" group: core-nightly-test working_dir: nightly_tests @@ -3321,6 +3324,7 @@ cluster_compute: chaos_test/compute_template_gce.yaml - name: chaos_many_actors_terminate_instance + python: "3.10" group: core-nightly-test working_dir: nightly_tests From 8f2b6397881deda16fee8a2bf76ab04edbc474c8 Mon Sep 17 00:00:00 2001 From: Russell Power Date: Tue, 30 Sep 2025 13:38:11 -0700 Subject: [PATCH 1461/1566] Loosen Ray self-dependency check to allow matching versions. (#57019) The version check makes it difficult to use the `uv` package system for Ray with projects that take Ray as a dependency. Closes#56389 Signed-off-by: Russell Power Signed-off-by: Douglas Strodtman --- python/ray/_private/runtime_env/dependency_utils.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/python/ray/_private/runtime_env/dependency_utils.py b/python/ray/_private/runtime_env/dependency_utils.py index aff3dabb28f7..d208a067c02d 100644 --- a/python/ray/_private/runtime_env/dependency_utils.py +++ b/python/ray/_private/runtime_env/dependency_utils.py @@ -65,16 +65,20 @@ async def _get_ray_version_and_path() -> Tuple[str, str]: version, path = await _get_ray_version_and_path() yield actual_version, actual_path = await _get_ray_version_and_path() - if actual_version != version or actual_path != path: + if actual_version != version: raise RuntimeError( "Changing the ray version is not allowed: \n" f" current version: {actual_version}, " - f"current path: {actual_path}\n" f" expect version: {version}, " - f"expect path: {path}\n" + f" current path: {actual_path}, " + f" expect path: {path}, " "Please ensure the dependencies in the runtime_env pip field " "do not install a different version of Ray." ) + if actual_path != path: + logger.info( + f"Detected new Ray package with the same version at {actual_path} (vs system {path})." + ) def get_requirements_file(target_dir: str, pip_list: Optional[List[str]]) -> str: From 63bbad3aed4ece03def743096e5080b52b2fd57e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 13:41:22 -0700 Subject: [PATCH 1462/1566] [core] add "custom_setup" tag for tests (#56986) for tests that require customized setup. the tag makes it easier to filter out when running tests for normal setup. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 6 +++--- doc/BUILD.bazel | 8 ++++++++ python/ray/dag/BUILD.bazel | 3 +++ python/ray/data/BUILD.bazel | 1 + python/ray/serve/tests/BUILD.bazel | 2 ++ python/ray/tests/BUILD.bazel | 16 ++++++++++++++++ 6 files changed, 33 insertions(+), 3 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 1c9ada28245d..825891670cfa 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -60,7 +60,7 @@ steps: - bazel run //ci/ray_ci:test_in_docker -- //python/ray/tests/... //python/ray/_common/tests/... //python/ray/dag/... //python/ray/autoscaler/v2/... core --install-mask all-ray-libraries --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask + --except-tags custom_setup --install-mask all-ray-libraries - label: ":ray: core: python {{matrix.python}} tests ({{matrix.worker_id}})" @@ -74,7 +74,7 @@ steps: --install-mask all-ray-libraries --workers 4 --worker-id "{{matrix.worker_id}}" --parallelism-per-worker 3 --python-version {{matrix.python}} - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask + --except-tags custom_setup depends_on: corebuild-multipy matrix: setup: @@ -103,7 +103,7 @@ steps: --install-mask all-ray-libraries --workers "$${BUILDKITE_PARALLEL_JOB_COUNT}" --worker-id "$${BUILDKITE_PARALLEL_JOB}" --parallelism-per-worker 3 --test-env=TEST_EXTERNAL_REDIS=1 - --except-tags debug_tests,asan_tests,post_wheel_build,ha_integration,mem_pressure,tmpfs,runtime_env_container,manual,multi_gpu,spark_on_ray,ray_client,dask + --except-tags custom_setup - label: ":ray: core: memory pressure tests" tags: diff --git a/doc/BUILD.bazel b/doc/BUILD.bazel index 0f9ca0cfa53d..66c7e89f18fd 100644 --- a/doc/BUILD.bazel +++ b/doc/BUILD.bazel @@ -166,6 +166,7 @@ py_test( tags = [ "exclusive", "post_wheel_build", + "custom_setup", "team:core", ], ) @@ -178,6 +179,7 @@ py_test( tags = [ "exclusive", "mem_pressure", + "custom_setup", "team:core", ], ) @@ -190,6 +192,7 @@ py_test( tags = [ "exclusive", "multi_gpu", + "custom_setup", "team:core", ], ) @@ -202,6 +205,7 @@ py_test( tags = [ "exclusive", "multi_gpu", + "custom_setup", "team:core", ], ) @@ -214,6 +218,7 @@ py_test( tags = [ "exclusive", "multi_gpu", + "custom_setup", "team:core", ], ) @@ -237,6 +242,7 @@ py_test( tags = [ "exclusive", "multi_gpu", + "custom_setup", "team:core", ], ) @@ -249,6 +255,7 @@ py_test( tags = [ "exclusive", "multi_gpu", + "custom_setup", "team:core", ], ) @@ -447,6 +454,7 @@ py_test_run_all_subdirectory( extra_srcs = [], tags = [ "dask", + "custom_setup", "exclusive", "team:data", ], diff --git a/python/ray/dag/BUILD.bazel b/python/ray/dag/BUILD.bazel index d87814c2cd94..f574f738633a 100644 --- a/python/ray/dag/BUILD.bazel +++ b/python/ray/dag/BUILD.bazel @@ -143,6 +143,7 @@ py_test( main = "tests/experimental/test_torch_tensor_dag.py", tags = [ "compiled_graphs", + "custom_setup", "exclusive", "multi_gpu", "no_windows", @@ -161,6 +162,7 @@ py_test( main = "tests/experimental/test_torch_tensor_transport.py", tags = [ "compiled_graphs", + "custom_setup", "exclusive", "multi_gpu", "no_windows", @@ -182,6 +184,7 @@ py_test( # "compiled_graphs", # "exclusive", # "multi_gpu", +# "custom_setup", # "no_windows", # "team:core", # ], diff --git a/python/ray/data/BUILD.bazel b/python/ray/data/BUILD.bazel index 680255466b0c..449040395952 100644 --- a/python/ray/data/BUILD.bazel +++ b/python/ray/data/BUILD.bazel @@ -536,6 +536,7 @@ py_test( size = "small", srcs = ["tests/test_ecosystem_dask.py"], tags = [ + "custom_setup", "dask", "exclusive", "team:data", diff --git a/python/ray/serve/tests/BUILD.bazel b/python/ray/serve/tests/BUILD.bazel index 5b0ba4347d0d..720f6f9e6fa1 100644 --- a/python/ray/serve/tests/BUILD.bazel +++ b/python/ray/serve/tests/BUILD.bazel @@ -266,6 +266,7 @@ py_test_module_list( "test_runtime_env_2.py", ], tags = [ + "custom_setup", "exclusive", "post_wheel_build", "team:serve", @@ -304,6 +305,7 @@ py_test( size = "medium", srcs = ["test_serve_ha.py"], tags = [ + "custom_setup", "exclusive", "ha_integration", "team:serve", diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 3d7d649345f6..e2da58d8eb5f 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -147,6 +147,7 @@ py_test_module_list( "test_client_reconnect.py", ], tags = [ + "custom_setup", "exclusive", "ray_client", "team:core", @@ -167,6 +168,7 @@ py_test_module_list( "test_client_warnings.py", ], tags = [ + "custom_setup", "exclusive", "ray_client", "team:core", @@ -183,6 +185,7 @@ py_test_module_list( "test_client_init.py", ], tags = [ + "custom_setup", "exclusive", "no_windows", "ray_client", @@ -225,6 +228,7 @@ py_test_module_list( ], name_suffix = "_client_mode", tags = [ + "custom_setup", "exclusive", "ray_client", "team:core", @@ -251,6 +255,7 @@ py_test_module_list( ], name_suffix = "_client_mode", tags = [ + "custom_setup", "exclusive", "ray_client", "team:core", @@ -276,6 +281,7 @@ py_test_module_list( ], name_suffix = "_client_mode", tags = [ + "custom_setup", "exclusive", "post_wheel_build", "ray_client", @@ -651,6 +657,7 @@ py_test_module_list( "gpu_objects/test_gpu_objects_nixl.py", ], tags = [ + "custom_setup", "exclusive", "gpu_objects", "multi_gpu", @@ -687,6 +694,7 @@ py_test_module_list( "test_gcs_ha_e2e_2.py", ], tags = [ + "custom_setup", "exclusive", "ha_integration", "team:core", @@ -703,6 +711,7 @@ py_test_module_list( "test_network_failure_e2e.py", ], tags = [ + "custom_setup", "exclusive", "ha_integration", "no_windows", @@ -718,6 +727,7 @@ py_test_module_list( size = "medium", files = ["test_memory_pressure.py"], tags = [ + "custom_setup", "exclusive", "mem_pressure", "team:core", @@ -966,6 +976,7 @@ py_test_module_list( "test_out_of_disk_space.py", ], tags = [ + "custom_setup", "exclusive", "team:core", "tmpfs", @@ -1083,6 +1094,7 @@ py_test_module_list( "test_runtime_env_uv_run.py", ], tags = [ + "custom_setup", "exclusive", "post_wheel_build", "team:core", @@ -1098,6 +1110,7 @@ py_test( size = "large", srcs = ["test_runtime_env_container.py"], tags = [ + "custom_setup", "exclusive", "runtime_env_container", "team:core", @@ -1308,6 +1321,7 @@ py_test_module_list( ], name_suffix = "_debug_mode", tags = [ + "custom_setup", "debug_tests", "exclusive", "team:core", @@ -1330,6 +1344,7 @@ py_test_module_list( name_suffix = "_asan", tags = [ "asan_tests", + "custom_setup", "exclusive", "team:core", ], @@ -1353,6 +1368,7 @@ py_test_module_list( "spark/test_utils.py", ], tags = [ + "custom_setup", "exclusive", "spark_on_ray", "team:core", From a6db1f1d0a13eb18749b8800fa2513e9c61b7bb9 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Wed, 1 Oct 2025 03:01:08 +0530 Subject: [PATCH 1463/1566] [core] Improve actor and normal task shutdown sequence (#56159) - Add a `CancelAllPending` API: cancelled queued actor and normal tasks on shutdown by adding a CancelAllPending API to scheduling queues and invoking it in `TaskReceiver::Stop()`. - Implement reject-new-task guard (added atomic `stopping_` and check in `TaskReceiver::HandleTask`) - Added a test that enqueues one running actor task and one queued actor task with a dependency, calls `Stop()` concurrently, ensures the queued one is canceled and the running one finishes. --------- Signed-off-by: Sagar Sumit Signed-off-by: Douglas Strodtman --- .../task_execution/actor_scheduling_queue.cc | 24 +- .../task_execution/actor_scheduling_queue.h | 3 + .../task_execution/normal_scheduling_queue.cc | 12 +- .../task_execution/normal_scheduling_queue.h | 3 + .../out_of_order_actor_scheduling_queue.cc | 12 + .../out_of_order_actor_scheduling_queue.h | 3 + .../task_execution/scheduling_queue.h | 3 + .../task_execution/task_receiver.cc | 374 +++++++++--------- .../task_execution/task_receiver.h | 4 + .../tests/scheduling_queue_test.cc | 90 +++++ 10 files changed, 346 insertions(+), 182 deletions(-) diff --git a/src/ray/core_worker/task_execution/actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc index 9eee6f987a8a..6e6cb639bbea 100644 --- a/src/ray/core_worker/task_execution/actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.cc @@ -35,7 +35,11 @@ ActorSchedulingQueue::ActorSchedulingQueue( task_event_buffer_(task_event_buffer), pool_manager_(std::move(pool_manager)) {} -void ActorSchedulingQueue::Stop() { pool_manager_->Stop(); } +void ActorSchedulingQueue::Stop() { + pool_manager_->Stop(); + CancelAllPending(Status::SchedulingCancelled( + "Actor scheduling queue stopped; canceling pending tasks")); +} bool ActorSchedulingQueue::TaskQueueEmpty() const { RAY_CHECK(false) << "TaskQueueEmpty() not implemented for actor queues"; @@ -250,6 +254,24 @@ void ActorSchedulingQueue::ScheduleRequests() { } } +void ActorSchedulingQueue::CancelAllPending(const Status &status) { + absl::MutexLock lock(&mu_); + // Cancel in-order pending tasks + while (!pending_actor_tasks_.empty()) { + auto head = pending_actor_tasks_.begin(); + head->second.Cancel(status); + pending_task_id_to_is_canceled.erase(head->second.TaskID()); + pending_actor_tasks_.erase(head); + } + // Cancel retry tasks + while (!pending_retry_actor_tasks_.empty()) { + auto &req = pending_retry_actor_tasks_.front(); + req.Cancel(status); + pending_task_id_to_is_canceled.erase(req.TaskID()); + pending_retry_actor_tasks_.pop_front(); + } +} + void ActorSchedulingQueue::ExecuteRequest(InboundRequest &&request) { auto task_id = request.TaskID(); auto pool = pool_manager_->GetExecutor(request.ConcurrencyGroupName(), diff --git a/src/ray/core_worker/task_execution/actor_scheduling_queue.h b/src/ray/core_worker/task_execution/actor_scheduling_queue.h index 885f60a01a9e..2d49c54ae36c 100644 --- a/src/ray/core_worker/task_execution/actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/actor_scheduling_queue.h @@ -74,6 +74,9 @@ class ActorSchedulingQueue : public SchedulingQueue { /// Schedules as many requests as possible in sequence. void ScheduleRequests() override; + /// Cancel all pending (not yet accepted/executing) requests in the queue. + void CancelAllPending(const Status &status) override; + private: /// Accept the given InboundRequest or reject it if a task id is canceled via /// CancelTaskIfFound. diff --git a/src/ray/core_worker/task_execution/normal_scheduling_queue.cc b/src/ray/core_worker/task_execution/normal_scheduling_queue.cc index b4fac81dfd25..7f4eca044e04 100644 --- a/src/ray/core_worker/task_execution/normal_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/normal_scheduling_queue.cc @@ -23,7 +23,8 @@ namespace core { NormalSchedulingQueue::NormalSchedulingQueue(){}; void NormalSchedulingQueue::Stop() { - // No-op + CancelAllPending(Status::SchedulingCancelled( + "Normal scheduling queue stopped; canceling pending tasks")); } bool NormalSchedulingQueue::TaskQueueEmpty() const { @@ -91,5 +92,14 @@ void NormalSchedulingQueue::ScheduleRequests() { } } +void NormalSchedulingQueue::CancelAllPending(const Status &status) { + absl::MutexLock lock(&mu_); + while (!pending_normal_tasks_.empty()) { + auto it = pending_normal_tasks_.begin(); + it->Cancel(status); + pending_normal_tasks_.erase(it); + } +} + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/task_execution/normal_scheduling_queue.h b/src/ray/core_worker/task_execution/normal_scheduling_queue.h index b60188606713..6ff5db67919c 100644 --- a/src/ray/core_worker/task_execution/normal_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/normal_scheduling_queue.h @@ -56,6 +56,9 @@ class NormalSchedulingQueue : public SchedulingQueue { /// Schedules as many requests as possible in sequence. void ScheduleRequests() override; + /// Cancel all queued (waiting or deferred) requests in a thread-safe manner. + void CancelAllPending(const Status &status) override; + private: /// Protects access to the dequeue below. mutable absl::Mutex mu_; diff --git a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc index f68843ad6829..ef1a3c4011b5 100644 --- a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.cc @@ -59,6 +59,8 @@ void OutOfOrderActorSchedulingQueue::Stop() { if (fiber_state_manager_) { fiber_state_manager_->Stop(); } + CancelAllPending(Status::SchedulingCancelled( + "Out-of-order actor scheduling queue stopped; canceling pending tasks")); } bool OutOfOrderActorSchedulingQueue::TaskQueueEmpty() const { @@ -253,5 +255,15 @@ void OutOfOrderActorSchedulingQueue::AcceptRequestOrRejectIfCanceled( } } +void OutOfOrderActorSchedulingQueue::CancelAllPending(const Status &status) { + absl::MutexLock lock(&mu_); + while (!queued_actor_tasks_.empty()) { + auto it = queued_actor_tasks_.begin(); + it->second.Cancel(status); + pending_task_id_to_is_canceled.erase(it->first); + queued_actor_tasks_.erase(it); + } +} + } // namespace core } // namespace ray diff --git a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h index 1f366bcf873a..46f481dace82 100644 --- a/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h +++ b/src/ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h @@ -74,6 +74,9 @@ class OutOfOrderActorSchedulingQueue : public SchedulingQueue { /// Schedules as many requests as possible in sequence. void ScheduleRequests() override; + /// Cancel all pending (not yet accepted/executing) requests in the queue. + void CancelAllPending(const Status &status) override; + private: void RunRequest(InboundRequest request); diff --git a/src/ray/core_worker/task_execution/scheduling_queue.h b/src/ray/core_worker/task_execution/scheduling_queue.h index f8cae80f345d..dd70111053d4 100644 --- a/src/ray/core_worker/task_execution/scheduling_queue.h +++ b/src/ray/core_worker/task_execution/scheduling_queue.h @@ -39,6 +39,9 @@ class SchedulingQueue { virtual size_t Size() const = 0; virtual void Stop() = 0; virtual bool CancelTaskIfFound(TaskID task_id) = 0; + /// Cancel all pending (not yet accepted/executing) requests in the queue with the + /// provided status. Implementations should be thread-safe. + virtual void CancelAllPending(const Status &status) = 0; }; } // namespace core diff --git a/src/ray/core_worker/task_execution/task_receiver.cc b/src/ray/core_worker/task_execution/task_receiver.cc index 759ce1ee2e28..6d99be603042 100644 --- a/src/ray/core_worker/task_execution/task_receiver.cc +++ b/src/ray/core_worker/task_execution/task_receiver.cc @@ -27,163 +27,137 @@ namespace core { void TaskReceiver::HandleTask(rpc::PushTaskRequest request, rpc::PushTaskReply *reply, rpc::SendReplyCallback send_reply_callback) { - TaskSpecification task_spec(std::move(*request.mutable_task_spec())); - - if (task_spec.IsActorCreationTask()) { - SetupActor(task_spec.IsAsyncioActor(), - task_spec.MaxActorConcurrency(), - task_spec.AllowOutOfOrderExecution()); - } - + TaskSpecification task_spec; // Only assign resources for non-actor tasks. Actor tasks inherit the resources // assigned at initial actor creation time. std::optional resource_ids; - if (!task_spec.IsActorTask()) { - resource_ids = ResourceMappingType{}; - for (const auto &mapping : request.resource_mapping()) { - std::vector> rids; - rids.reserve(mapping.resource_ids().size()); - for (const auto &ids : mapping.resource_ids()) { - rids.emplace_back(ids.index(), ids.quantity()); - } - (*resource_ids)[mapping.name()] = std::move(rids); - } - } - auto accept_callback = [this, reply, resource_ids = std::move(resource_ids)]( - const TaskSpecification &accepted_task_spec, - const rpc::SendReplyCallback - &accepted_send_reply_callback) mutable { - auto num_returns = accepted_task_spec.NumReturns(); - RAY_CHECK(num_returns >= 0); + auto make_accept_callback = [&]() { + // Capture resource_ids by value at the time of callback creation, AFTER it + // has been populated for non-actor tasks inside the critical section. + return [this, reply, resource_ids = resource_ids]( + const TaskSpecification &accepted_task_spec, + const rpc::SendReplyCallback &accepted_send_reply_callback) mutable { + auto num_returns = accepted_task_spec.NumReturns(); + RAY_CHECK(num_returns >= 0); - std::vector>> return_objects; - std::vector>> dynamic_return_objects; - std::vector> streaming_generator_returns; - bool is_retryable_error = false; - std::string application_error; - auto status = task_handler_(accepted_task_spec, - std::move(resource_ids), - &return_objects, - &dynamic_return_objects, - &streaming_generator_returns, - reply->mutable_borrowed_refs(), - &is_retryable_error, - &application_error); - reply->set_is_retryable_error(is_retryable_error); - reply->set_is_application_error(!application_error.empty()); - std::string task_execution_error; + std::vector>> return_objects; + std::vector>> dynamic_return_objects; + std::vector> streaming_generator_returns; + bool is_retryable_error = false; + std::string application_error; + auto status = task_handler_(accepted_task_spec, + std::move(resource_ids), + &return_objects, + &dynamic_return_objects, + &streaming_generator_returns, + reply->mutable_borrowed_refs(), + &is_retryable_error, + &application_error); + reply->set_is_retryable_error(is_retryable_error); + reply->set_is_application_error(!application_error.empty()); + std::string task_execution_error; - if (!application_error.empty()) { - task_execution_error = "User exception:\n" + application_error; - } - // System errors occurred while executing the task. - if (!status.ok()) { - if (!task_execution_error.empty()) { - task_execution_error += "\n\n"; + if (!application_error.empty()) { + task_execution_error = "User exception:\n" + application_error; + } + if (!status.ok()) { + if (!task_execution_error.empty()) { + task_execution_error += "\n\n"; + } + task_execution_error += "System error:\n" + status.ToString(); } - task_execution_error += "System error:\n" + status.ToString(); - } - - if (!task_execution_error.empty()) { - // Application errors occurred while executing the task. - // We could get the errors from return_objects, but it would require deserializing - // the serialized error message. So we just record the error message directly while - // executing the task. - reply->set_task_execution_error(task_execution_error); - } - for (const auto &it : streaming_generator_returns) { - const auto &object_id = it.first; - bool is_plasma_object = it.second; - auto return_id_proto = reply->add_streaming_generator_return_ids(); - return_id_proto->set_object_id(object_id.Binary()); - return_id_proto->set_is_plasma_object(is_plasma_object); - } + if (!task_execution_error.empty()) { + reply->set_task_execution_error(task_execution_error); + } - bool objects_valid = return_objects.size() == num_returns; - for (const auto &return_object : return_objects) { - if (return_object.second == nullptr) { - objects_valid = false; + for (const auto &it : streaming_generator_returns) { + const auto &object_id = it.first; + bool is_plasma_object = it.second; + auto return_id_proto = reply->add_streaming_generator_return_ids(); + return_id_proto->set_object_id(object_id.Binary()); + return_id_proto->set_is_plasma_object(is_plasma_object); } - } - if (objects_valid) { - if (accepted_task_spec.ReturnsDynamic()) { - size_t num_dynamic_returns_expected = - accepted_task_spec.DynamicReturnIds().size(); - if (num_dynamic_returns_expected > 0) { - RAY_CHECK(dynamic_return_objects.size() == num_dynamic_returns_expected) - << "Expected " << num_dynamic_returns_expected - << " dynamic returns, but task generated " << dynamic_return_objects.size(); + bool objects_valid = return_objects.size() == num_returns; + for (const auto &return_object : return_objects) { + if (return_object.second == nullptr) { + objects_valid = false; } - } else { - RAY_CHECK(dynamic_return_objects.size() == 0) - << "Task with static num_returns returned " << dynamic_return_objects.size() - << " objects dynamically"; - } - for (const auto &dynamic_return : dynamic_return_objects) { - auto return_object_proto = reply->add_dynamic_return_objects(); - SerializeReturnObject( - dynamic_return.first, dynamic_return.second, return_object_proto); - } - for (size_t i = 0; i < return_objects.size(); i++) { - const auto &return_object = return_objects[i]; - auto return_object_proto = reply->add_return_objects(); - SerializeReturnObject( - return_object.first, return_object.second, return_object_proto); } - if (accepted_task_spec.IsActorCreationTask()) { - concurrency_groups_ = accepted_task_spec.ConcurrencyGroups(); - if (is_asyncio_) { - fiber_state_manager_ = std::make_shared>( - concurrency_groups_, fiber_max_concurrency_, initialize_thread_callback_); + if (objects_valid) { + if (accepted_task_spec.ReturnsDynamic()) { + size_t num_dynamic_returns_expected = + accepted_task_spec.DynamicReturnIds().size(); + if (num_dynamic_returns_expected > 0) { + RAY_CHECK(dynamic_return_objects.size() == num_dynamic_returns_expected) + << "Expected " << num_dynamic_returns_expected + << " dynamic returns, but task generated " + << dynamic_return_objects.size(); + } } else { - // If the actor is an asyncio actor, then this concurrency group manager - // for BoundedExecutor will never be used, so we don't need to initialize it. - const int default_max_concurrency = accepted_task_spec.MaxActorConcurrency(); - pool_manager_ = std::make_shared>( - concurrency_groups_, default_max_concurrency, initialize_thread_callback_); + RAY_CHECK(dynamic_return_objects.size() == 0) + << "Task with static num_returns returned " << dynamic_return_objects.size() + << " objects dynamically"; + } + for (const auto &dynamic_return : dynamic_return_objects) { + auto return_object_proto = reply->add_dynamic_return_objects(); + SerializeReturnObject( + dynamic_return.first, dynamic_return.second, return_object_proto); + } + for (size_t i = 0; i < return_objects.size(); i++) { + const auto &return_object = return_objects[i]; + auto return_object_proto = reply->add_return_objects(); + SerializeReturnObject( + return_object.first, return_object.second, return_object_proto); } - // Tell raylet that an actor creation task has finished execution, so that - // raylet can publish actor creation event to GCS, and mark this worker as - // actor, thus if this worker dies later raylet will restart the actor. - RAY_CHECK_OK(actor_creation_task_done_()); - if (status.IsCreationTaskError()) { - RAY_LOG(WARNING) << "Actor creation task finished with errors, task_id: " - << accepted_task_spec.TaskId() - << ", actor_id: " << accepted_task_spec.ActorCreationId() - << ", status: " << status; - } else { - // Set the actor repr name if it's customized by the actor. - if (!actor_repr_name_.empty()) { - reply->set_actor_repr_name(actor_repr_name_); + if (accepted_task_spec.IsActorCreationTask()) { + concurrency_groups_ = accepted_task_spec.ConcurrencyGroups(); + if (is_asyncio_) { + fiber_state_manager_ = std::make_shared>( + concurrency_groups_, fiber_max_concurrency_, initialize_thread_callback_); + } else { + const int default_max_concurrency = accepted_task_spec.MaxActorConcurrency(); + pool_manager_ = std::make_shared>( + concurrency_groups_, + default_max_concurrency, + initialize_thread_callback_); + } + + RAY_CHECK_OK(actor_creation_task_done_()); + if (status.IsCreationTaskError()) { + RAY_LOG(WARNING) << "Actor creation task finished with errors, task_id: " + << accepted_task_spec.TaskId() + << ", actor_id: " << accepted_task_spec.ActorCreationId() + << ", status: " << status; + } else { + if (!actor_repr_name_.empty()) { + reply->set_actor_repr_name(actor_repr_name_); + } + RAY_LOG(INFO) << "Actor creation task finished, task_id: " + << accepted_task_spec.TaskId() + << ", actor_id: " << accepted_task_spec.ActorCreationId() + << ", actor_repr_name: " << actor_repr_name_; } - RAY_LOG(INFO) << "Actor creation task finished, task_id: " - << accepted_task_spec.TaskId() - << ", actor_id: " << accepted_task_spec.ActorCreationId() - << ", actor_repr_name: " << actor_repr_name_; } } - } - if (status.IsIntentionalSystemExit() || status.IsUnexpectedSystemExit() || - status.IsCreationTaskError()) { - // Don't allow the worker to be reused, even though the reply status is OK. - // The worker will be shutting down shortly. - reply->set_worker_exiting(true); - if (objects_valid) { - // This happens when max_calls is hit. We still need to return the objects. - accepted_send_reply_callback(Status::OK(), nullptr, nullptr); + if (status.IsIntentionalSystemExit() || status.IsUnexpectedSystemExit() || + status.IsCreationTaskError()) { + reply->set_worker_exiting(true); + if (objects_valid) { + accepted_send_reply_callback(Status::OK(), nullptr, nullptr); + } else { + accepted_send_reply_callback(status, nullptr, nullptr); + } } else { - accepted_send_reply_callback(status, nullptr, nullptr); + RAY_CHECK_OK(status); + RAY_CHECK(objects_valid); + accepted_send_reply_callback(Status::OK(), nullptr, nullptr); } - } else { - RAY_CHECK_OK(status); - RAY_CHECK(objects_valid); - accepted_send_reply_callback(Status::OK(), nullptr, nullptr); - } + }; }; auto cancel_callback = [reply]( @@ -191,60 +165,90 @@ void TaskReceiver::HandleTask(rpc::PushTaskRequest request, const Status &status, const rpc::SendReplyCallback &canceled_send_reply_callback) { if (canceled_task_spec.IsActorTask()) { - // We consider cancellation of actor tasks to be a push task RPC failure. canceled_send_reply_callback(status, nullptr, nullptr); } else { - // We consider cancellation of normal tasks to be an in-band cancellation of a - // successful RPC. reply->set_was_cancelled_before_running(true); canceled_send_reply_callback(status, nullptr, nullptr); } }; - if (task_spec.IsActorTask()) { - auto it = actor_scheduling_queues_.find(task_spec.CallerWorkerId()); - if (it == actor_scheduling_queues_.end()) { - it = actor_scheduling_queues_ - .emplace( - task_spec.CallerWorkerId(), - allow_out_of_order_execution_ - ? std::unique_ptr( - std::make_unique( - task_execution_service_, - waiter_, - task_event_buffer_, - pool_manager_, - fiber_state_manager_, - is_asyncio_, - fiber_max_concurrency_, - concurrency_groups_)) - : std::unique_ptr( - std::make_unique( - task_execution_service_, - waiter_, - task_event_buffer_, - pool_manager_, - RayConfig::instance() - .actor_scheduling_queue_max_reorder_wait_seconds()))) - .first; + { + absl::MutexLock lock(&stop_mu_); + if (stopping_) { + RAY_LOG(INFO) + << "Rejecting PushTask due to worker shutdown: task will be cancelled"; + reply->set_was_cancelled_before_running(true); + send_reply_callback( + Status::SchedulingCancelled("Worker is shutting down"), nullptr, nullptr); + return; } - it->second->Add(request.sequence_number(), - request.client_processed_up_to(), - std::move(accept_callback), - std::move(cancel_callback), - std::move(send_reply_callback), - std::move(task_spec)); - } else { - // Add the normal task's callbacks to the non-actor scheduling queue. - RAY_LOG(DEBUG) << "Adding task " << task_spec.TaskId() - << " to normal scheduling task queue."; - normal_scheduling_queue_->Add(request.sequence_number(), - request.client_processed_up_to(), - std::move(accept_callback), - std::move(cancel_callback), - std::move(send_reply_callback), - std::move(task_spec)); + task_spec = TaskSpecification(std::move(*request.mutable_task_spec())); + + if (task_spec.IsActorCreationTask()) { + SetupActor(task_spec.IsAsyncioActor(), + task_spec.MaxActorConcurrency(), + task_spec.AllowOutOfOrderExecution()); + } + + if (!task_spec.IsActorTask()) { + resource_ids = ResourceMappingType{}; + for (const auto &mapping : request.resource_mapping()) { + std::vector> rids; + rids.reserve(mapping.resource_ids().size()); + for (const auto &ids : mapping.resource_ids()) { + rids.emplace_back(ids.index(), ids.quantity()); + } + (*resource_ids)[mapping.name()] = std::move(rids); + } + } + + if (task_spec.IsActorTask()) { + auto it = actor_scheduling_queues_.find(task_spec.CallerWorkerId()); + if (it == actor_scheduling_queues_.end()) { + it = actor_scheduling_queues_ + .emplace( + task_spec.CallerWorkerId(), + allow_out_of_order_execution_ + ? std::unique_ptr( + std::make_unique( + task_execution_service_, + waiter_, + task_event_buffer_, + pool_manager_, + fiber_state_manager_, + is_asyncio_, + fiber_max_concurrency_, + concurrency_groups_)) + : std::unique_ptr< + SchedulingQueue>(std::make_unique( + task_execution_service_, + waiter_, + task_event_buffer_, + pool_manager_, + RayConfig::instance() + .actor_scheduling_queue_max_reorder_wait_seconds()))) + .first; + } + + auto accept_callback = make_accept_callback(); + it->second->Add(request.sequence_number(), + request.client_processed_up_to(), + std::move(accept_callback), + std::move(cancel_callback), + std::move(send_reply_callback), + std::move(task_spec)); + } else { + RAY_LOG(DEBUG) << "Adding task " << task_spec.TaskId() + << " to normal scheduling task queue."; + auto accept_callback = make_accept_callback(); + normal_scheduling_queue_->Add(request.sequence_number(), + request.client_processed_up_to(), + std::move(accept_callback), + std::move(cancel_callback), + std::move(send_reply_callback), + std::move(task_spec)); + } } } @@ -293,9 +297,19 @@ void TaskReceiver::SetupActor(bool is_asyncio, } void TaskReceiver::Stop() { + { + absl::MutexLock lock(&stop_mu_); + if (stopping_) { + return; + } + stopping_ = true; + } for (const auto &[_, scheduling_queue] : actor_scheduling_queues_) { scheduling_queue->Stop(); } + if (normal_scheduling_queue_) { + normal_scheduling_queue_->Stop(); + } } void TaskReceiver::SetActorReprName(const std::string &repr_name) { diff --git a/src/ray/core_worker/task_execution/task_receiver.h b/src/ray/core_worker/task_execution/task_receiver.h index add1ecb395af..d0422bb775dc 100644 --- a/src/ray/core_worker/task_execution/task_receiver.h +++ b/src/ray/core_worker/task_execution/task_receiver.h @@ -104,6 +104,10 @@ class TaskReceiver { void SetActorReprName(const std::string &repr_name); private: + /// Guard for shutdown state. + absl::Mutex stop_mu_; + // True once shutdown begins. Requests to execute new tasks will be rejected. + bool stopping_ ABSL_GUARDED_BY(stop_mu_) = false; /// Set up the configs for an actor. /// This should be called once for the actor creation task. void SetupActor(bool is_asyncio, diff --git a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc index 5a779ff091b7..09df56f53bf6 100644 --- a/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc +++ b/src/ray/core_worker/task_execution/tests/scheduling_queue_test.cc @@ -11,6 +11,7 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +#include #include #include #include @@ -19,7 +20,10 @@ #include "gtest/gtest.h" #include "ray/common/asio/instrumented_io_context.h" +#include "ray/common/status.h" +#include "ray/common/task/task_spec.h" #include "ray/common/test_utils.h" +#include "ray/core_worker/task_event_buffer.h" #include "ray/core_worker/task_execution/actor_scheduling_queue.h" #include "ray/core_worker/task_execution/normal_scheduling_queue.h" #include "ray/core_worker/task_execution/out_of_order_actor_scheduling_queue.h" @@ -195,6 +199,64 @@ TEST(ActorSchedulingQueueTest, TestInOrder) { queue.Stop(); } +TEST(ActorSchedulingQueueTest, ShutdownCancelsQueuedAndWaitsForRunning) { + instrumented_io_context io_service; + MockWaiter waiter; + MockTaskEventBuffer task_event_buffer; + + std::vector concurrency_groups{ConcurrencyGroup{"io", 1, {}}}; + auto pool_manager = + std::make_shared>(concurrency_groups); + + ActorSchedulingQueue queue(io_service, waiter, task_event_buffer, pool_manager, 1); + // One running task that blocks until we signal. + std::promise running_started; + std::promise allow_finish; + auto fn_ok_blocking = [&running_started, &allow_finish]( + const TaskSpecification &task_spec, + rpc::SendReplyCallback callback) { + running_started.set_value(); + allow_finish.get_future().wait(); + }; + auto fn_rej = [](const TaskSpecification &task_spec, + const Status &status, + rpc::SendReplyCallback callback) {}; + TaskSpecification ts; + ts.GetMutableMessage().set_type(TaskType::ACTOR_TASK); + // Enqueue a running task and a queued task. + queue.Add(0, -1, fn_ok_blocking, fn_rej, nullptr, ts); + std::atomic n_rejected{0}; + auto fn_rej_count = [&n_rejected](const TaskSpecification &, + const Status &status, + rpc::SendReplyCallback) { + if (status.IsSchedulingCancelled()) { + n_rejected.fetch_add(1); + } + }; + // Make the queued task have a dependency so it stays queued and will be cancelled by + // Stop(). + TaskSpecification ts_dep; + ts_dep.GetMutableMessage().set_type(TaskType::ACTOR_TASK); + ts_dep.GetMutableMessage().add_args()->mutable_object_ref()->set_object_id( + ObjectID::FromRandom().Binary()); + queue.Add( + 1, + -1, + [](const TaskSpecification &, rpc::SendReplyCallback) {}, + fn_rej_count, + nullptr, + ts_dep); + io_service.poll(); + running_started.get_future().wait(); + + // Call Stop() from another thread to avoid blocking this thread before allowing finish. + std::thread stopper([&]() { queue.Stop(); }); + // Finish the running task so Stop can join. + allow_finish.set_value(); + stopper.join(); + ASSERT_EQ(n_rejected.load(), 1); +} + TEST(ActorSchedulingQueueTest, TestWaitForObjects) { ObjectID obj = ObjectID::FromRandom(); instrumented_io_context io_service; @@ -466,6 +528,34 @@ TEST(NormalSchedulingQueueTest, TestCancelQueuedTask) { queue->Stop(); } +TEST(NormalSchedulingQueueTest, StopCancelsQueuedTasks) { + std::unique_ptr queue = + std::make_unique(); + int n_ok = 0; + std::atomic n_rej{0}; + auto fn_ok = [&n_ok](const TaskSpecification &task_spec, + rpc::SendReplyCallback callback) { n_ok++; }; + auto fn_rej = [&n_rej](const TaskSpecification &task_spec, + const Status &status, + rpc::SendReplyCallback callback) { + ASSERT_TRUE(status.IsSchedulingCancelled()); + n_rej.fetch_add(1); + }; + TaskSpecification task_spec; + task_spec.GetMutableMessage().set_type(TaskType::NORMAL_TASK); + + // Enqueue several normal tasks but do not schedule them. + queue->Add(-1, -1, fn_ok, fn_rej, nullptr, task_spec); + queue->Add(-1, -1, fn_ok, fn_rej, nullptr, task_spec); + queue->Add(-1, -1, fn_ok, fn_rej, nullptr, task_spec); + + // Stopping should cancel all queued tasks without running them. + queue->Stop(); + + ASSERT_EQ(n_ok, 0); + ASSERT_EQ(n_rej.load(), 3); +} + TEST(OutOfOrderActorSchedulingQueueTest, TestTaskEvents) { // Test task events are recorded. instrumented_io_context io_service; From 0632dd1c3a7614e3c17ccfa9b8052f2aac3cc101 Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Tue, 30 Sep 2025 14:52:52 -0700 Subject: [PATCH 1464/1566] [core] Revert "Revert "[core] Deprecate LIFO/FIFO worker killing policies" (#56972) One of the tests that relied on the deprecated worker killing policies mentioned in #56960 was not correctly updated. Internally group killing policy relies on LIFO within the same group hence modified the test to reflect this behavior. --------- Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_memory_pressure.py | 29 ++- release/release_data_tests.yaml | 8 - release/release_tests.yaml | 20 +- src/ray/common/lease/lease_spec.cc | 2 +- src/ray/common/lease/lease_spec.h | 2 +- src/ray/common/ray_config_def.h | 6 - src/ray/common/task/task_spec.cc | 2 +- src/ray/common/task/task_spec.h | 2 +- src/ray/core_worker/task_manager.cc | 2 +- src/ray/protobuf/common.proto | 30 +-- src/ray/protobuf/gcs.proto | 2 +- src/ray/raylet/BUILD.bazel | 6 - src/ray/raylet/node_manager.cc | 5 +- src/ray/raylet/tests/BUILD.bazel | 30 --- ...rker_killing_policy_group_by_owner_test.cc | 238 ------------------ ...rker_killing_policy_retriable_fifo_test.cc | 111 -------- .../tests/worker_killing_policy_test.cc | 188 +++++++++++--- src/ray/raylet/worker.h | 10 +- src/ray/raylet/worker_killing_policy.cc | 60 ----- src/ray/raylet/worker_killing_policy.h | 22 +- .../worker_killing_policy_group_by_owner.cc | 6 +- .../worker_killing_policy_group_by_owner.h | 3 +- .../worker_killing_policy_retriable_fifo.cc | 76 ------ .../worker_killing_policy_retriable_fifo.h | 44 ---- 24 files changed, 213 insertions(+), 691 deletions(-) delete mode 100644 src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc delete mode 100644 src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc delete mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.cc delete mode 100644 src/ray/raylet/worker_killing_policy_retriable_fifo.h diff --git a/python/ray/tests/test_memory_pressure.py b/python/ray/tests/test_memory_pressure.py index 864ba040a673..a3bd0213482d 100644 --- a/python/ray/tests/test_memory_pressure.py +++ b/python/ray/tests/test_memory_pressure.py @@ -518,10 +518,9 @@ def infinite_retry_task(): sys.platform != "linux" and sys.platform != "linux2", reason="memory monitor only on linux currently", ) -def test_one_actor_max_fifo_kill_previous_actor(shutdown_only): +def test_one_actor_max_lifo_kill_next_actor(shutdown_only): with ray.init( _system_config={ - "worker_killing_policy": "retriable_fifo", "memory_usage_threshold": 0.7, "memory_monitor_refresh_ms": memory_monitor_refresh_ms, }, @@ -536,25 +535,31 @@ def test_one_actor_max_fifo_kill_previous_actor(shutdown_only): assert "first_actor" in actors second_actor = Leaker.options(name="second_actor").remote() - ray.get( - second_actor.allocate.remote(bytes_to_alloc, memory_monitor_refresh_ms * 3) - ) + with pytest.raises(ray.exceptions.OutOfMemoryError): + ray.get( + second_actor.allocate.remote( + bytes_to_alloc, memory_monitor_refresh_ms * 3 + ) + ) actors = ray.util.list_named_actors() assert len(actors) == 1, actors - assert "first_actor" not in actors - assert "second_actor" in actors + assert "first_actor" in actors + assert "second_actor" not in actors third_actor = Leaker.options(name="third_actor").remote() - ray.get( - third_actor.allocate.remote(bytes_to_alloc, memory_monitor_refresh_ms * 3) - ) + with pytest.raises(ray.exceptions.OutOfMemoryError): + ray.get( + third_actor.allocate.remote( + bytes_to_alloc, memory_monitor_refresh_ms * 3 + ) + ) actors = ray.util.list_named_actors() assert len(actors) == 1 - assert "first_actor" not in actors + assert "first_actor" in actors assert "second_actor" not in actors - assert "third_actor" in actors + assert "third_actor" not in actors if __name__ == "__main__": diff --git a/release/release_data_tests.yaml b/release/release_data_tests.yaml index 542d4610f7e5..3225c6ff7a53 100644 --- a/release/release_data_tests.yaml +++ b/release/release_data_tests.yaml @@ -413,8 +413,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -431,8 +429,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml @@ -455,8 +451,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: "{{scaling}}_all_to_all_compute.yaml" @@ -472,8 +466,6 @@ cluster: byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo pip: - ray[default] cluster_compute: dataset/autoscaling_all_to_all_compute.yaml diff --git a/release/release_tests.yaml b/release/release_tests.yaml index 7ea01cd29a81..aa1570144be5 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2230,9 +2230,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: shuffle/shuffle_compute_multi.yaml run: @@ -2308,9 +2306,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: shuffle/shuffle_compute_autoscaling.yaml run: @@ -2462,9 +2458,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/dask_on_ray_sort_compute_template.yaml run: @@ -2489,9 +2483,7 @@ team: data cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/dask_on_ray_stress_compute.yaml run: @@ -2814,9 +2806,7 @@ team: core cluster: - byod: - runtime_env: - - RAY_worker_killing_policy=retriable_lifo + byod: {} cluster_compute: dask_on_ray/1tb_sort_compute.yaml run: diff --git a/src/ray/common/lease/lease_spec.cc b/src/ray/common/lease/lease_spec.cc index 7d84ebd92144..1283e2d64a03 100644 --- a/src/ray/common/lease/lease_spec.cc +++ b/src/ray/common/lease/lease_spec.cc @@ -156,7 +156,7 @@ bool LeaseSpecification::IsRetriable() const { return true; } -uint64_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } +int32_t LeaseSpecification::AttemptNumber() const { return message_->attempt_number(); } bool LeaseSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/lease/lease_spec.h b/src/ray/common/lease/lease_spec.h index ab507a4e5544..3cf832c095b3 100644 --- a/src/ray/common/lease/lease_spec.h +++ b/src/ray/common/lease/lease_spec.h @@ -82,7 +82,7 @@ class LeaseSpecification : public MessageWrapper { ray::FunctionDescriptor FunctionDescriptor() const; int64_t MaxActorRestarts() const; int32_t MaxRetries() const; - uint64_t AttemptNumber() const; + int32_t AttemptNumber() const; bool IsRetry() const; std::string GetTaskName() const; std::string GetFunctionOrActorName() const; diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index ce1f8947ba95..37ef51094772 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -90,12 +90,6 @@ RAY_CONFIG(uint64_t, task_failure_entry_ttl_ms, 15 * 60 * 1000) /// that is not related to running out of memory. Retries indefinitely if the value is -1. RAY_CONFIG(uint64_t, task_oom_retries, -1) -/// The worker killing policy to use, available options are -/// group_by_owner -/// retriable_lifo -/// retriable_fifo -RAY_CONFIG(std::string, worker_killing_policy, "group_by_owner") - /// Whether to report placement or regular resource usage for an actor. /// Reporting placement may cause the autoscaler to overestimate the resources /// required of the cluster, but reporting regular resource may lead to no diff --git a/src/ray/common/task/task_spec.cc b/src/ray/common/task/task_spec.cc index 94c1199a7d27..e158a1a0e9a0 100644 --- a/src/ray/common/task/task_spec.cc +++ b/src/ray/common/task/task_spec.cc @@ -187,7 +187,7 @@ bool TaskSpecification::HasRuntimeEnv() const { return !IsRuntimeEnvEmpty(SerializedRuntimeEnv()); } -uint64_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } +int32_t TaskSpecification::AttemptNumber() const { return message_->attempt_number(); } bool TaskSpecification::IsRetry() const { return AttemptNumber() > 0; } diff --git a/src/ray/common/task/task_spec.h b/src/ray/common/task/task_spec.h index 3ead82c55128..3204943fcc97 100644 --- a/src/ray/common/task/task_spec.h +++ b/src/ray/common/task/task_spec.h @@ -139,7 +139,7 @@ class TaskSpecification : public MessageWrapper { int GetRuntimeEnvHash() const; - uint64_t AttemptNumber() const; + int32_t AttemptNumber() const; bool IsRetry() const; diff --git a/src/ray/core_worker/task_manager.cc b/src/ray/core_worker/task_manager.cc index 6ee2a1d8205d..5e25ae157ff7 100644 --- a/src/ray/core_worker/task_manager.cc +++ b/src/ray/core_worker/task_manager.cc @@ -795,7 +795,7 @@ bool TaskManager::HandleReportGeneratorItemReturns( const auto &generator_id = ObjectID::FromBinary(request.generator_id()); const auto &task_id = generator_id.TaskId(); int64_t item_index = request.item_index(); - uint64_t attempt_number = request.attempt_number(); + int64_t attempt_number = request.attempt_number(); // Every generated object has the same task id. RAY_LOG(DEBUG) << "Received an intermediate result of index " << item_index << " generator_id: " << generator_id; diff --git a/src/ray/protobuf/common.proto b/src/ray/protobuf/common.proto index 410e6bfd5e05..11449cf3f0b3 100644 --- a/src/ray/protobuf/common.proto +++ b/src/ray/protobuf/common.proto @@ -544,7 +544,7 @@ message TaskSpec { SchedulingStrategy scheduling_strategy = 28; // A count of the number of times this task has been attempted so far. 0 // means this is the first execution. - uint64 attempt_number = 29; + int32 attempt_number = 29; // This task returns a dynamic number of objects. bool returns_dynamic = 30; // A list of ObjectIDs that were created by this task but that should be @@ -774,41 +774,41 @@ message ReturnObject { // Task spec of an actor creation task. message ActorCreationTaskSpec { // ID of the actor that will be created by this task. - bytes actor_id = 2; + bytes actor_id = 1; // The max number of times this actor should be restarted. // If this number is 0 the actor won't be restarted. // If this number is -1 the actor will be restarted indefinitely. - int64 max_actor_restarts = 3; + int64 max_actor_restarts = 2; // The max number of times tasks submitted on this actor should be retried // if the actor fails and is restarted. // If this number is 0 the tasks won't be resubmitted. // If this number is -1 the tasks will be resubmitted indefinitely. - int64 max_task_retries = 4; + int64 max_task_retries = 3; // The dynamic options used in the worker command when starting a worker process for // an actor creation task. If the list isn't empty, the options will be used to replace // the placeholder string `RAY_WORKER_DYNAMIC_OPTION_PLACEHOLDER` in the worker command. // Used by Java workers for JVM options. - repeated string dynamic_worker_options = 5; + repeated string dynamic_worker_options = 4; // The max number of concurrent calls for default concurrency group of this actor. - int32 max_concurrency = 6; + int32 max_concurrency = 5; // Whether the actor is persistent. - bool is_detached = 7; + bool is_detached = 6; // Globally-unique name of the actor. Should only be populated when is_detached is true. - string name = 8; + string name = 7; // The namespace of the actor. Should only be populated when is_detached is true. - string ray_namespace = 9; + string ray_namespace = 8; // Whether the actor use async actor calls. - bool is_asyncio = 10; + bool is_asyncio = 9; // Field used for storing application-level extensions to the actor definition. - string extension_data = 11; + string extension_data = 10; // Serialized bytes of the Handle to the actor that will be created by this task. - bytes serialized_actor_handle = 12; + bytes serialized_actor_handle = 11; // The concurrency groups of this actor. - repeated ConcurrencyGroup concurrency_groups = 13; + repeated ConcurrencyGroup concurrency_groups = 12; // Whether to enable out of order execution. - bool allow_out_of_order_execution = 14; + bool allow_out_of_order_execution = 13; // The max number of pending actor calls. - int32 max_pending_calls = 15; + int32 max_pending_calls = 14; } // Task spec of an actor task. diff --git a/src/ray/protobuf/gcs.proto b/src/ray/protobuf/gcs.proto index 9d350bca72e8..fe2a95d16ad8 100644 --- a/src/ray/protobuf/gcs.proto +++ b/src/ray/protobuf/gcs.proto @@ -103,7 +103,7 @@ message ActorTableData { // Number of restarts that has been tried on this actor. // This will be greater by 1 than what's published before in ALIVE. // ALIVE:0 RESTARTING:1 ALIVE:1 RESTARTING:2, etc - uint64 num_restarts = 8; + int64 num_restarts = 8; // The address of the actor. Address address = 9; // The address of the actor's owner (parent). diff --git a/src/ray/raylet/BUILD.bazel b/src/ray/raylet/BUILD.bazel index 5123bf1f2005..d038150f15c4 100644 --- a/src/ray/raylet/BUILD.bazel +++ b/src/ray/raylet/BUILD.bazel @@ -176,23 +176,17 @@ ray_cc_library( srcs = [ "worker_killing_policy.cc", "worker_killing_policy_group_by_owner.cc", - "worker_killing_policy_retriable_fifo.cc", ], hdrs = [ "worker_killing_policy.h", "worker_killing_policy_group_by_owner.h", - "worker_killing_policy_retriable_fifo.h", ], visibility = [":__subpackages__"], deps = [ ":worker", ":worker_pool", - "//src/ray/common:asio", "//src/ray/common:memory_monitor", - "@boost//:container_hash", - "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/time", - "@com_google_googletest//:gtest_prod", ], ) diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index d37bd01cb7c0..acd4bbea357a 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -42,7 +42,7 @@ #include "ray/core_worker_rpc_client/core_worker_client_pool.h" #include "ray/flatbuffers/node_manager_generated.h" #include "ray/raylet/local_object_manager_interface.h" -#include "ray/raylet/worker_killing_policy.h" +#include "ray/raylet/worker_killing_policy_group_by_owner.h" #include "ray/raylet/worker_pool.h" #include "ray/raylet_ipc_client/client_connection.h" #include "ray/stats/metric_defs.h" @@ -160,8 +160,7 @@ NodeManager::NodeManager( record_metrics_period_ms_(config.record_metrics_period_ms), next_resource_seq_no_(0), ray_syncer_(io_service_, self_node_id_.Binary()), - worker_killing_policy_( - CreateWorkerKillingPolicy(RayConfig::instance().worker_killing_policy())), + worker_killing_policy_(std::make_shared()), memory_monitor_(std::make_unique( io_service, RayConfig::instance().memory_usage_threshold(), diff --git a/src/ray/raylet/tests/BUILD.bazel b/src/ray/raylet/tests/BUILD.bazel index b027e767be1f..57f330690039 100644 --- a/src/ray/raylet/tests/BUILD.bazel +++ b/src/ray/raylet/tests/BUILD.bazel @@ -144,36 +144,6 @@ ray_cc_test( ], ) -ray_cc_test( - name = "worker_killing_policy_group_by_owner_test", - size = "small", - srcs = [ - "worker_killing_policy_group_by_owner_test.cc", - ], - tags = ["team:core"], - deps = [ - ":util", - "//src/ray/common:lease", - "//src/ray/raylet:worker_killing_policy", - "@com_google_googletest//:gtest_main", - ], -) - -ray_cc_test( - name = "worker_killing_policy_retriable_fifo_test", - size = "small", - srcs = [ - "worker_killing_policy_retriable_fifo_test.cc", - ], - tags = ["team:core"], - deps = [ - ":util", - "//src/ray/common:lease", - "//src/ray/raylet:worker_killing_policy", - "@com_google_googletest//:gtest_main", - ], -) - ray_cc_test( name = "node_manager_test", size = "small", diff --git a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc b/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc deleted file mode 100644 index 93b9b5f8f718..000000000000 --- a/src/ray/raylet/tests/worker_killing_policy_group_by_owner_test.cc +++ /dev/null @@ -1,238 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_group_by_owner.h" - -#include -#include -#include -#include - -#include "gtest/gtest.h" -#include "ray/common/lease/lease_spec.h" -#include "ray/raylet/tests/util.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -class WorkerKillingGroupByOwnerTest : public ::testing::Test { - protected: - instrumented_io_context io_context_; - int32_t port_ = 2389; - JobID job_id_ = JobID::FromInt(75); - bool should_retry_ = true; - bool should_not_retry_ = false; - int32_t no_retry_ = 0; - int32_t has_retry_ = 1; - GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(TaskID owner_id, - int32_t max_restarts) { - rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - message.set_max_actor_restarts(max_restarts); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); - return worker; - } - - std::shared_ptr CreateTaskWorker(TaskID owner_id, - int32_t max_retries) { - rpc::LeaseSpec message; - message.set_lease_id(LeaseID::FromRandom().Binary()); - message.set_parent_task_id(owner_id.Binary()); - message.set_type(ray::rpc::TaskType::NORMAL_TASK); - message.set_max_retries(max_retries); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); - return worker; - } -}; - -TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { - std::vector> workers; - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - ASSERT_TRUE(worker_to_kill == nullptr); -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { - std::vector> workers; - - auto owner_id = TaskID::ForDriverTask(job_id_); - auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); - - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { - auto owner_id = TaskID::ForDriverTask(job_id_); - - std::vector> workers; - auto first_submitted = - WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); - ASSERT_EQ(retry, should_not_retry_); -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { - auto first_group_owner_id = TaskID::FromRandom(job_id_); - auto second_group_owner_id = TaskID::FromRandom(job_id_); - - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - first_group_owner_id, has_retry_); - auto second_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); - auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - second_group_owner_id, has_retry_); - auto fifth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); - auto sixth_submitted = - WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - workers.push_back(fourth_submitted); - workers.push_back(fifth_submitted); - workers.push_back(sixth_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(fourth_submitted, should_retry_)); - expected.push_back(std::make_pair(sixth_submitted, should_retry_)); - expected.push_back(std::make_pair(third_submitted, should_retry_)); - expected.push_back(std::make_pair(fifth_submitted, should_retry_)); - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), has_retry_); - auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - expected.push_back(std::make_pair(third_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -TEST_F(WorkerKillingGroupByOwnerTest, - TestMultipleNonRetriableTaskSameGroupAndNotRetried) { - std::vector> workers; - auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( - TaskID::FromRandom(job_id_), no_retry_); - auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( - TaskID::FromRandom(job_id_), no_retry_); - workers.push_back(first_submitted); - workers.push_back(second_submitted); - - std::vector, bool>> expected; - expected.push_back(std::make_pair(second_submitted, should_not_retry_)); - expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - - for (const auto &entry : expected) { - auto worker_to_kill_and_should_retry_ = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry_.first; - bool retry = worker_to_kill_and_should_retry_.second; - ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); - ASSERT_EQ(retry, entry.second); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - } -} - -} // namespace raylet - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} diff --git a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc b/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc deleted file mode 100644 index 9026e26b836a..000000000000 --- a/src/ray/raylet/tests/worker_killing_policy_retriable_fifo_test.cc +++ /dev/null @@ -1,111 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" - -#include -#include - -#include "gtest/gtest.h" -#include "ray/common/lease/lease_spec.h" -#include "ray/raylet/tests/util.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -class WorkerKillerTest : public ::testing::Test { - protected: - int32_t port_ = 2389; - RetriableFIFOWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { - rpc::LeaseSpec message; - message.set_max_actor_restarts(max_restarts); - message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - return worker; - } - - std::shared_ptr CreateTaskWorker(int32_t max_retries) { - rpc::LeaseSpec message; - message.set_max_retries(max_retries); - message.set_type(ray::rpc::TaskType::NORMAL_TASK); - LeaseSpecification lease_spec(message); - RayLease lease(lease_spec); - auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); - worker->GrantLease(lease); - return worker; - } -}; - -TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { - std::vector> workers; - auto worker_to_kill_and_should_retry = - worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; - ASSERT_TRUE(worker_to_kill == nullptr); -} - -TEST_F(WorkerKillerTest, - TestPreferRetriableOverNonRetriableAndOrderByTimestampAscending) { - std::vector> workers; - auto first_submitted = - WorkerKillerTest::CreateActorCreationWorker(0 /* max_restarts */); - auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(1 /* max_restarts */); - auto third_submitted = WorkerKillerTest::CreateTaskWorker(0 /* max_restarts */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(1 /* max_restarts */); - - workers.push_back(first_submitted); - workers.push_back(second_submitted); - workers.push_back(third_submitted); - workers.push_back(fourth_submitted); - - MemorySnapshot memory_snapshot; - auto worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), fourth_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), first_submitted->WorkerId()); - workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), - workers.end()); - - worker_to_kill = - worker_killing_policy_.SelectWorkerToKill(workers, memory_snapshot).first; - ASSERT_EQ(worker_to_kill->WorkerId(), third_submitted->WorkerId()); -} - -} // namespace raylet - -} // namespace ray - -int main(int argc, char **argv) { - ::testing::InitGoogleTest(&argc, argv); - return RUN_ALL_TESTS(); -} diff --git a/src/ray/raylet/tests/worker_killing_policy_test.cc b/src/ray/raylet/tests/worker_killing_policy_test.cc index dca60ad6f58c..c43288f79b97 100644 --- a/src/ray/raylet/tests/worker_killing_policy_test.cc +++ b/src/ray/raylet/tests/worker_killing_policy_test.cc @@ -15,66 +15,137 @@ #include "ray/raylet/worker_killing_policy.h" #include +#include +#include #include #include "gtest/gtest.h" #include "ray/common/lease/lease_spec.h" #include "ray/raylet/tests/util.h" +#include "ray/raylet/worker_killing_policy_group_by_owner.h" namespace ray { namespace raylet { -class WorkerKillerTest : public ::testing::Test { +class WorkerKillingGroupByOwnerTest : public ::testing::Test { protected: instrumented_io_context io_context_; int32_t port_ = 2389; - RetriableLIFOWorkerKillingPolicy worker_killing_policy_; - - std::shared_ptr CreateActorCreationWorker(int32_t max_restarts) { + JobID job_id_ = JobID::FromInt(75); + bool should_retry_ = true; + bool should_not_retry_ = false; + int32_t no_retry_ = 0; + int32_t has_retry_ = 1; + GroupByOwnerIdWorkerKillingPolicy worker_killing_policy_; + + std::shared_ptr CreateActorCreationWorker(TaskID owner_id, + int32_t max_restarts) { rpc::LeaseSpec message; - message.set_max_actor_restarts(max_restarts); + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); message.set_type(ray::rpc::TaskType::ACTOR_CREATION_TASK); + message.set_max_actor_restarts(max_restarts); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } - std::shared_ptr CreateTaskWorker(int32_t max_retries) { + std::shared_ptr CreateTaskWorker(TaskID owner_id, + int32_t max_retries) { rpc::LeaseSpec message; - message.set_max_retries(max_retries); + message.set_lease_id(LeaseID::FromRandom().Binary()); + message.set_parent_task_id(owner_id.Binary()); message.set_type(ray::rpc::TaskType::NORMAL_TASK); + message.set_max_retries(max_retries); LeaseSpecification lease_spec(message); RayLease lease(lease_spec); auto worker = std::make_shared(ray::WorkerID::FromRandom(), port_); worker->GrantLease(lease); + worker->GrantLeaseId(lease.GetLeaseSpecification().LeaseId()); return worker; } }; -TEST_F(WorkerKillerTest, TestEmptyWorkerPoolSelectsNullWorker) { +TEST_F(WorkerKillingGroupByOwnerTest, TestEmptyWorkerPoolSelectsNullWorker) { std::vector> workers; - auto worker_to_kill_and_should_retry = + auto worker_to_kill_and_should_retry_ = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; + auto worker_to_kill = worker_to_kill_and_should_retry_.first; ASSERT_TRUE(worker_to_kill == nullptr); } -TEST_F(WorkerKillerTest, - TestPreferRetriableOverNonRetriableAndOrderByTimestampDescending) { +TEST_F(WorkerKillingGroupByOwnerTest, TestLastWorkerInGroupShouldNotRetry) { std::vector> workers; + + auto owner_id = TaskID::ForDriverTask(job_id_); auto first_submitted = - WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, has_retry_); auto second_submitted = - WorkerKillerTest::CreateActorCreationWorker(true /* max_restarts */); - auto third_submitted = WorkerKillerTest::CreateTaskWorker(false /* max_retries */); - auto fourth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); - auto fifth_submitted = - WorkerKillerTest::CreateActorCreationWorker(false /* max_restarts */); - auto sixth_submitted = WorkerKillerTest::CreateTaskWorker(true /* max_retries */); + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, has_retry_); + + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestNonRetriableBelongsToItsOwnGroupAndLIFOKill) { + auto owner_id = TaskID::ForDriverTask(job_id_); + + std::vector> workers; + auto first_submitted = + WorkerKillingGroupByOwnerTest::CreateActorCreationWorker(owner_id, no_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(owner_id, no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), second_submitted->WorkerId()); + ASSERT_EQ(retry, should_not_retry_); +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByGroupSizeThenFirstSubmittedTask) { + auto first_group_owner_id = TaskID::FromRandom(job_id_); + auto second_group_owner_id = TaskID::FromRandom(job_id_); + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + first_group_owner_id, has_retry_); + auto second_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(second_group_owner_id, has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fourth_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + second_group_owner_id, has_retry_); + auto fifth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); + auto sixth_submitted = + WorkerKillingGroupByOwnerTest::CreateTaskWorker(first_group_owner_id, has_retry_); workers.push_back(first_submitted); workers.push_back(second_submitted); workers.push_back(third_submitted); @@ -82,19 +153,76 @@ TEST_F(WorkerKillerTest, workers.push_back(fifth_submitted); workers.push_back(sixth_submitted); - std::vector> expected_order; - expected_order.push_back(sixth_submitted); - expected_order.push_back(fourth_submitted); - expected_order.push_back(second_submitted); - expected_order.push_back(fifth_submitted); - expected_order.push_back(third_submitted); - expected_order.push_back(first_submitted); + std::vector, bool>> expected; + expected.push_back(std::make_pair(fourth_submitted, should_retry_)); + expected.push_back(std::make_pair(sixth_submitted, should_retry_)); + expected.push_back(std::make_pair(third_submitted, should_retry_)); + expected.push_back(std::make_pair(fifth_submitted, should_retry_)); + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, TestGroupSortedByRetriableLifo) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), has_retry_); + auto third_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + workers.push_back(third_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); + expected.push_back(std::make_pair(third_submitted, should_not_retry_)); + + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = + worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); + workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), + workers.end()); + } +} + +TEST_F(WorkerKillingGroupByOwnerTest, + TestMultipleNonRetriableTaskSameGroupAndNotRetried) { + std::vector> workers; + auto first_submitted = WorkerKillingGroupByOwnerTest::CreateActorCreationWorker( + TaskID::FromRandom(job_id_), no_retry_); + auto second_submitted = WorkerKillingGroupByOwnerTest::CreateTaskWorker( + TaskID::FromRandom(job_id_), no_retry_); + workers.push_back(first_submitted); + workers.push_back(second_submitted); + + std::vector, bool>> expected; + expected.push_back(std::make_pair(second_submitted, should_not_retry_)); + expected.push_back(std::make_pair(first_submitted, should_not_retry_)); - for (const auto &expected : expected_order) { - auto worker_to_kill_and_should_retry = + for (const auto &entry : expected) { + auto worker_to_kill_and_should_retry_ = worker_killing_policy_.SelectWorkerToKill(workers, MemorySnapshot()); - auto worker_to_kill = worker_to_kill_and_should_retry.first; - ASSERT_EQ(worker_to_kill->WorkerId(), expected->WorkerId()); + auto worker_to_kill = worker_to_kill_and_should_retry_.first; + bool retry = worker_to_kill_and_should_retry_.second; + ASSERT_EQ(worker_to_kill->WorkerId(), entry.first->WorkerId()); + ASSERT_EQ(retry, entry.second); workers.erase(std::remove(workers.begin(), workers.end(), worker_to_kill), workers.end()); } diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index 72a4843ad63e..e2eb754bf4b1 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -243,10 +243,12 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa bool IsRegistered() { return rpc_client_ != nullptr; } bool IsAvailableForScheduling() const { - return !IsDead() // Not dead - && !GetGrantedLeaseId().IsNil() // Has assigned lease - && !IsBlocked() // Not blocked - && GetActorId().IsNil(); // No assigned actor + return !IsDead() // Not dead + && !GetGrantedLeaseId() + .IsNil() // Has assigned lease. This is intentionally incorrect since + // Ray Data relies on this for GC #56155 + && !IsBlocked() // Not blocked + && GetActorId().IsNil(); // No assigned actor } rpc::CoreWorkerClientInterface *rpc_client() { diff --git a/src/ray/raylet/worker_killing_policy.cc b/src/ray/raylet/worker_killing_policy.cc index e804864f54ac..c7e5280d3155 100644 --- a/src/ray/raylet/worker_killing_policy.cc +++ b/src/ray/raylet/worker_killing_policy.cc @@ -16,59 +16,18 @@ #include -#include #include #include #include #include -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy_group_by_owner.h" -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" #include "ray/raylet/worker_pool.h" namespace ray { namespace raylet { -RetriableLIFOWorkerKillingPolicy::RetriableLIFOWorkerKillingPolicy() {} - -const std::pair, bool> -RetriableLIFOWorkerKillingPolicy::SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const { - if (workers.empty()) { - RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; - return std::make_pair(nullptr, /*should retry*/ false); - } - - std::vector> sorted = workers; - - std::sort(sorted.begin(), - sorted.end(), - [](std::shared_ptr const &left, - std::shared_ptr const &right) -> bool { - // First sort by retriable tasks and then by assigned time in descending - // order. - int left_retriable = - left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - int right_retriable = - right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - if (left_retriable == right_retriable) { - return left->GetGrantedLeaseTime() > right->GetGrantedLeaseTime(); - } - return left_retriable < right_retriable; - }); - - static const int32_t max_to_print = 10; - RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" - << WorkersDebugString(sorted, max_to_print, system_memory); - - return std::make_pair(sorted.front(), /*should retry*/ true); -} - std::string WorkerKillingPolicy::WorkersDebugString( const std::vector> &workers, int32_t num_workers, @@ -99,25 +58,6 @@ std::string WorkerKillingPolicy::WorkersDebugString( return result.str(); } -std::shared_ptr CreateWorkerKillingPolicy( - std::string killing_policy_str) { - if (killing_policy_str == kLifoPolicy) { - RAY_LOG(INFO) << "Running RetriableLIFO policy."; - return std::make_shared(); - } else if (killing_policy_str == kGroupByOwner) { - RAY_LOG(INFO) << "Running GroupByOwner policy."; - return std::make_shared(); - } else if (killing_policy_str == kFifoPolicy) { - RAY_LOG(INFO) << "Running RetriableFIFO policy."; - return std::make_shared(); - } else { - RAY_LOG(ERROR) - << killing_policy_str - << " is an invalid killing policy. Defaulting to RetriableLIFO policy."; - return std::make_shared(); - } -} - } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy.h b/src/ray/raylet/worker_killing_policy.h index b76087ae888f..c8c7ab438961 100644 --- a/src/ray/raylet/worker_killing_policy.h +++ b/src/ray/raylet/worker_killing_policy.h @@ -21,8 +21,6 @@ #include #include -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/common/memory_monitor.h" #include "ray/raylet/worker.h" #include "ray/raylet/worker_pool.h" @@ -31,10 +29,6 @@ namespace ray { namespace raylet { -constexpr char kLifoPolicy[] = "retriable_lifo"; -constexpr char kGroupByOwner[] = "group_by_owner"; -constexpr char kFifoPolicy[] = "retriable_fifo"; - /// Provides the policy on which worker to prioritize killing. class WorkerKillingPolicy { public: @@ -44,11 +38,11 @@ class WorkerKillingPolicy { /// \param system_memory snapshot of memory usage. /// /// \return the worker to kill and whether the task on the worker should be retried. - virtual const std::pair, bool> SelectWorkerToKill( + virtual std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const = 0; - virtual ~WorkerKillingPolicy() {} + virtual ~WorkerKillingPolicy() = default; protected: /// Returns debug string of the workers. @@ -65,18 +59,6 @@ class WorkerKillingPolicy { const MemorySnapshot &system_memory); }; -/// Prefers killing retriable workers over non-retriable ones, in LIFO order. -class RetriableLIFOWorkerKillingPolicy : public WorkerKillingPolicy { - public: - RetriableLIFOWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const; -}; - -std::shared_ptr CreateWorkerKillingPolicy( - std::string killing_policy_str); - } // namespace raylet } // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.cc b/src/ray/raylet/worker_killing_policy_group_by_owner.cc index 97d7010d55c7..493e7c0a966d 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.cc +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.cc @@ -24,12 +24,8 @@ #include #include -#include "absl/container/flat_hash_map.h" #include "absl/time/time.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" #include "ray/raylet/worker_pool.h" namespace ray { @@ -38,7 +34,7 @@ namespace raylet { GroupByOwnerIdWorkerKillingPolicy::GroupByOwnerIdWorkerKillingPolicy() {} -const std::pair, bool> +std::pair, bool> GroupByOwnerIdWorkerKillingPolicy::SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const { diff --git a/src/ray/raylet/worker_killing_policy_group_by_owner.h b/src/ray/raylet/worker_killing_policy_group_by_owner.h index 791126aab92d..f3712d6a49ae 100644 --- a/src/ray/raylet/worker_killing_policy_group_by_owner.h +++ b/src/ray/raylet/worker_killing_policy_group_by_owner.h @@ -21,7 +21,6 @@ #include #include -#include "absl/container/flat_hash_set.h" #include "absl/time/clock.h" #include "absl/time/time.h" #include "ray/common/memory_monitor.h" @@ -88,7 +87,7 @@ struct Group { class GroupByOwnerIdWorkerKillingPolicy : public WorkerKillingPolicy { public: GroupByOwnerIdWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( + std::pair, bool> SelectWorkerToKill( const std::vector> &workers, const MemorySnapshot &system_memory) const; diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc b/src/ray/raylet/worker_killing_policy_retriable_fifo.cc deleted file mode 100644 index 1169caf35370..000000000000 --- a/src/ray/raylet/worker_killing_policy_retriable_fifo.cc +++ /dev/null @@ -1,76 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ray/raylet/worker_killing_policy_retriable_fifo.h" - -#include - -#include -#include -#include -#include -#include -#include - -#include "absl/container/flat_hash_map.h" -#include "absl/time/time.h" -#include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" -#include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" -#include "ray/raylet/worker_pool.h" - -namespace ray { - -namespace raylet { - -RetriableFIFOWorkerKillingPolicy::RetriableFIFOWorkerKillingPolicy() {} - -const std::pair, bool> -RetriableFIFOWorkerKillingPolicy::SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const { - if (workers.empty()) { - RAY_LOG_EVERY_MS(INFO, 5000) << "Worker list is empty. Nothing can be killed"; - return std::make_pair(nullptr, /*should retry*/ false); - } - - std::vector> sorted = workers; - - std::sort(sorted.begin(), - sorted.end(), - [](std::shared_ptr const &left, - std::shared_ptr const &right) -> bool { - // First sort by retriable leases and then by lease time in ascending order. - int left_retriable = - left->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - int right_retriable = - right->GetGrantedLease().GetLeaseSpecification().IsRetriable() ? 0 : 1; - if (left_retriable == right_retriable) { - return left->GetGrantedLeaseTime() < right->GetGrantedLeaseTime(); - } - return left_retriable < right_retriable; - }); - - static const int32_t max_to_print = 10; - RAY_LOG(INFO) << "The top 10 workers to be killed based on the worker killing policy:\n" - << WorkerKillingPolicy::WorkersDebugString( - sorted, max_to_print, system_memory); - - return std::make_pair(sorted.front(), /*should retry*/ true); -} - -} // namespace raylet - -} // namespace ray diff --git a/src/ray/raylet/worker_killing_policy_retriable_fifo.h b/src/ray/raylet/worker_killing_policy_retriable_fifo.h deleted file mode 100644 index 504456913d31..000000000000 --- a/src/ray/raylet/worker_killing_policy_retriable_fifo.h +++ /dev/null @@ -1,44 +0,0 @@ -// Copyright 2022 The Ray Authors. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#pragma once - -#include - -#include -#include - -#include "absl/container/flat_hash_set.h" -#include "absl/time/clock.h" -#include "absl/time/time.h" -#include "ray/common/memory_monitor.h" -#include "ray/raylet/worker.h" -#include "ray/raylet/worker_killing_policy.h" - -namespace ray { - -namespace raylet { - -/// Prefers killing retriable workers over non-retriable ones, then in FIFO order. -class RetriableFIFOWorkerKillingPolicy : public WorkerKillingPolicy { - public: - RetriableFIFOWorkerKillingPolicy(); - const std::pair, bool> SelectWorkerToKill( - const std::vector> &workers, - const MemorySnapshot &system_memory) const; -}; - -} // namespace raylet - -} // namespace ray From a2610d46348833ba877c2352aa89df7365a5d913 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 15:18:47 -0700 Subject: [PATCH 1465/1566] [ci] upgrade rayci version to 0.20.0 (#57050) https://github.com/ray-project/rayci/releases/tag/v0.20.0 from v0.19.0 Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .rayciversion | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.rayciversion b/.rayciversion index 1cf0537c3438..5a03fb737b38 100644 --- a/.rayciversion +++ b/.rayciversion @@ -1 +1 @@ -0.19.0 +0.20.0 From f2591dafcdbcd8d149cc2498f26594ff7b8f765b Mon Sep 17 00:00:00 2001 From: Qiaolin Yu Date: Tue, 30 Sep 2025 15:46:25 -0700 Subject: [PATCH 1466/1566] Fix rdt micro benchmark by ensuring the actor has received the tensor (#57015) Since nccl transport will do async recv, we need to make sure the actual tensor has been received before the function of recv actor return. Otherwise, it's not a fair comparison. Signed-off-by: Douglas Strodtman --- .../microbenchmark/experimental/gpu_object_microbenchmark.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/release/microbenchmark/experimental/gpu_object_microbenchmark.py b/release/microbenchmark/experimental/gpu_object_microbenchmark.py index bded6c4acc76..c31392f0ff1b 100644 --- a/release/microbenchmark/experimental/gpu_object_microbenchmark.py +++ b/release/microbenchmark/experimental/gpu_object_microbenchmark.py @@ -69,6 +69,8 @@ def send(self) -> torch.Tensor: def recv(self, tensor: torch.Tensor): assert tensor.device.type == self.device.type + # Return the first element of the tensor to make sure the actor has received the tensor. + return tensor[0].item() def _exec_p2p_transfer( From f977b621cf24cf39fd7e4bff639aa2a84495ea39 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 16:49:59 -0700 Subject: [PATCH 1467/1566] [core] split java worker tests out (#57054) run in its own test job. also renames "with-cpp" build type to "multi-lang". Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 12 ++++++++++++ .buildkite/others.rayci.yml | 2 +- ci/ray_ci/linux_container.py | 3 --- ci/ray_ci/tester.py | 4 ++-- ci/ray_ci/tests.env.Dockerfile | 10 ++++++---- python/ray/tests/BUILD.bazel | 1 + 6 files changed, 22 insertions(+), 10 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 825891670cfa..0d9c5878f1bf 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -395,6 +395,18 @@ steps: depends_on: oss-ci-base_build job_env: oss-ci-base_build + - label: ":ray: core: java worker tests" + tags: + - java + - python + - oss + instance_type: medium + commands: + - bazel run //ci/ray_ci:test_in_docker -- //python/ray/tests/... core + --build-type java + --only-tags needs_java + depends_on: corebuild + - label: ":ray: core: HA integration tests" tags: - python diff --git a/.buildkite/others.rayci.yml b/.buildkite/others.rayci.yml index ec39ebe096ce..adcb06bc338c 100644 --- a/.buildkite/others.rayci.yml +++ b/.buildkite/others.rayci.yml @@ -26,7 +26,7 @@ steps: instance_type: medium commands: # Java tests need the C++ API for multi-langauge worker tests. - - bazel run //ci/ray_ci:test_in_docker -- //... core --build-type with-cpp --build-only + - bazel run //ci/ray_ci:test_in_docker -- //... core --build-type multi-lang --build-only - docker run -i --rm --volume /tmp/artifacts:/artifact-mount --shm-size=2.5gb "$${RAYCI_WORK_REPO}":"$${RAYCI_BUILD_ID}"-corebuild /bin/bash -iecuo pipefail "./java/test.sh" diff --git a/ci/ray_ci/linux_container.py b/ci/ray_ci/linux_container.py index 682b7c75e006..44c6d1971d2d 100644 --- a/ci/ray_ci/linux_container.py +++ b/ci/ray_ci/linux_container.py @@ -52,9 +52,6 @@ def install_ray( ] if mask: build_cmd += ["--build-arg", "RAY_INSTALL_MASK=" + mask] - if build_type == "with-cpp": - # Only set for Java tests because there's multi-language worker tests. - build_cmd += ["--build-arg", "RAY_DISABLE_EXTRA_CPP=0"] build_cmd += [ "-f", "/ray/ci/ray_ci/tests.env.Dockerfile", diff --git a/ci/ray_ci/tester.py b/ci/ray_ci/tester.py index add2a2fd3bf5..9f0ea846e46c 100644 --- a/ci/ray_ci/tester.py +++ b/ci/ray_ci/tester.py @@ -162,8 +162,8 @@ "cgroup", # java build types "java", - # with cpp api - "with-cpp", + # with cpp and java worker support + "multi-lang", # do not build ray "skip", ] diff --git a/ci/ray_ci/tests.env.Dockerfile b/ci/ray_ci/tests.env.Dockerfile index 904354927cbc..b63f120c157e 100644 --- a/ci/ray_ci/tests.env.Dockerfile +++ b/ci/ray_ci/tests.env.Dockerfile @@ -5,14 +5,14 @@ FROM "$BASE_IMAGE" ARG BUILD_TYPE ARG BUILDKITE_CACHE_READONLY -ARG RAY_DISABLE_EXTRA_CPP=1 ARG RAY_INSTALL_MASK= ENV CC=clang ENV CXX=clang++-12 -# Disabling C++ API build to speed up CI -# Only needed for java tests where we override this. -ENV RAY_DISABLE_EXTRA_CPP=${RAY_DISABLE_EXTRA_CPP} + +# Disable C++ API/worker building by default on CI. +# To use C++ API/worker, set BUILD_TYPE to "multi-lang". +ENV RAY_DISABLE_EXTRA_CPP=1 RUN mkdir /rayci WORKDIR /rayci @@ -69,6 +69,8 @@ if [[ "$BUILD_TYPE" == "debug" ]]; then elif [[ "$BUILD_TYPE" == "asan" ]]; then pip install -v -e python/ bazel run $(./ci/run/bazel_export_options) --no//:jemalloc_flag //:gen_ray_pkg +elif [[ "$BUILD_TYPE" == "multi-lang" ]]; then + RAY_DISABLE_EXTRA_CPP=0 RAY_INSTALL_JAVA=1 pip install -v -e python/ elif [[ "$BUILD_TYPE" == "java" ]]; then bash java/build-jar-multiplatform.sh linux RAY_INSTALL_JAVA=1 pip install -v -e python/ diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index e2da58d8eb5f..8511227ee3b8 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -389,6 +389,7 @@ py_test_module_list( ], tags = [ "exclusive", + "extra_setup", "medium_size_python_tests_k_to_z", "needs_java", "team:core", From 785eefb7f5bc1409f7a4bd5548721c5a51decd63 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 16:52:05 -0700 Subject: [PATCH 1468/1566] [core] pre-install dependencies for min install tests (#57045) this removes the need to install dependencies again later during the tests. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- ci/docker/min.build.Dockerfile | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/ci/docker/min.build.Dockerfile b/ci/docker/min.build.Dockerfile index fa88dbfb435d..b85621f4e6b7 100644 --- a/ci/docker/min.build.Dockerfile +++ b/ci/docker/min.build.Dockerfile @@ -24,7 +24,7 @@ python -m pip install -U pytest==7.4.4 pip-tools==7.4.1 # install extra dependencies if [[ "${EXTRA_DEPENDENCY}" == "core" ]]; then - ./ci/env/install-core-prerelease-dependencies.sh + pip-compile -o min_requirements.txt python/setup.py elif [[ "${EXTRA_DEPENDENCY}" == "ml" ]]; then pip-compile -o min_requirements.txt python/setup.py --extra tune elif [[ "${EXTRA_DEPENDENCY}" == "default" ]]; then @@ -36,8 +36,11 @@ elif [[ "${EXTRA_DEPENDENCY}" == "serve" ]]; then rm /tmp/min_build_requirements.txt fi -if [[ -f min_requirements.txt ]]; then - pip install -r min_requirements.txt +pip install -r min_requirements.txt + +# Core wants to eagerly be tested with some of its prerelease dependencies. +if [[ "${EXTRA_DEPENDENCY}" == "core" ]]; then + ./ci/env/install-core-prerelease-dependencies.sh fi EOF From 2d384d4199444981450b668e519c3be7e445664c Mon Sep 17 00:00:00 2001 From: Goutam Date: Tue, 30 Sep 2025 17:11:18 -0700 Subject: [PATCH 1469/1566] [Data] - schema() handle pd.ArrowDtype -> pyarrow type conversion (#57057) ## Why are these changes needed? When the schema contains `pd.ArrowDtype` datatypes, the existing `pa.from_numpy_dtype(dtype)` in the schema function will fail. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run pre-commit jobs to lint the changes in this PR. ([pre-commit setup](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html#lint-and-formatting)) - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Schema.types now converts pandas ArrowDtype to pyarrow types (including within TensorDtype), with unit tests validating dtype conversion. > > - **Schema/types conversion** > - Add `_convert_to_pa_type` to map `pandas.ArrowDtype` and `numpy dtype` to `pyarrow` types. > - Use helper for both generic column dtypes and `TensorDtype._dtype` (works with ArrowTensorType/ArrowTensorTypeV2). > - Import `pandas` to detect `pd.ArrowDtype`. > - **Tests** > - Add parametric test ensuring `Schema.types` returns correct `pyarrow` types for `pd.ArrowDtype` and `numpy` dtypes. > - Minor test imports updated (e.g., `pyarrow`, `Schema`). > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 243cdd6992fe0ede8f0c7bda3c3c8aad8d3ebd4f. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 10 ++++++++-- python/ray/data/tests/test_strict_mode.py | 20 ++++++++++++++++++++ 2 files changed, 28 insertions(+), 2 deletions(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 22c9631caf0d..d850203b7176 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -6412,10 +6412,16 @@ def types(self) -> List[Union[type[object], "pyarrow.lib.DataType"]]: For non-Arrow compatible types, we return "object". """ + import pandas as pd import pyarrow as pa from ray.data.extensions import ArrowTensorType, TensorDtype + def _convert_to_pa_type(dtype: Union[np.dtype, pd.ArrowDtype]) -> pa.DataType: + if isinstance(dtype, pd.ArrowDtype): + return dtype.pyarrow_dtype + return pa.from_numpy_dtype(dtype) + if isinstance(self.base_schema, pa.lib.Schema): return list(self.base_schema.types) @@ -6430,13 +6436,13 @@ def types(self) -> List[Union[type[object], "pyarrow.lib.DataType"]]: # Manually convert our Pandas tensor extension type to Arrow. arrow_types.append( pa_tensor_type_class( - shape=dtype._shape, dtype=pa.from_numpy_dtype(dtype._dtype) + shape=dtype._shape, dtype=_convert_to_pa_type(dtype._dtype) ) ) else: try: - arrow_types.append(pa.from_numpy_dtype(dtype)) + arrow_types.append(_convert_to_pa_type(dtype)) except pa.ArrowNotImplementedError: arrow_types.append(object) except Exception: diff --git a/python/ray/data/tests/test_strict_mode.py b/python/ray/data/tests/test_strict_mode.py index 1564c6f84e09..0d1506882f8e 100644 --- a/python/ray/data/tests/test_strict_mode.py +++ b/python/ray/data/tests/test_strict_mode.py @@ -2,11 +2,13 @@ import numpy as np import pandas as pd +import pyarrow as pa import pytest import ray from ray.air.util.tensor_extensions.pandas import TensorDtype from ray.data.context import DataContext +from ray.data.dataset import Schema from ray.data.tests.conftest import * # noqa from ray.tests.conftest import * # noqa @@ -251,6 +253,24 @@ def _id(batch): assert schema.types == [expected_arrow_ext_type] +@pytest.mark.parametrize( + "input_dtype, expected_arrow_type", + [ + (pd.ArrowDtype(pa.int32()), pa.int32()), + (np.dtype("int64"), pa.int64()), + ], +) +def test_schema_types_property(input_dtype, expected_arrow_type): + """ + Tests that the Schema.types property correctly converts pandas and numpy + dtypes to pyarrow types. + """ + from ray.data._internal.pandas_block import PandasBlockSchema + + schema = Schema(PandasBlockSchema(names=["a"], types=[input_dtype])) + assert schema.types == [expected_arrow_type] + + def test_use_raw_dicts(ray_start_regular_shared_2_cpus): assert type(ray.data.range(10).take(1)[0]) is dict assert type(ray.data.from_items([1]).take(1)[0]) is dict From 0ed226a3a43cb454ee86785f476ca927848c2c23 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 17:57:26 -0700 Subject: [PATCH 1470/1566] [core] remove parallism for spark_on_ray tests (#57055) there is only one bazel test; test worker parallism basically has no effect. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 0d9c5878f1bf..838a46cbf500 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -451,9 +451,7 @@ steps: --build-type debug --test-env=RAY_ON_SPARK_BACKGROUND_JOB_STARTUP_WAIT=1 --test-env=RAY_ON_SPARK_RAY_WORKER_NODE_STARTUP_INTERVAL=5 - --parallelism-per-worker 3 --only-tags spark_on_ray - --except-tags kubernetes depends_on: - corebuild From 9d689cad73ef147b441cda3fd8f7e889dcb0abf8 Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Tue, 30 Sep 2025 20:12:16 -0500 Subject: [PATCH 1471/1566] Revert "[core] Refactor aggregator agent to support multiple publish destination and richer metrics (#55780)" (#57013) This reverts commit 948a425f05a7d219ab0c2c6a3123c8b4ca180cf3. Closes https://github.com/ray-project/ray/issues/56984 Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../modules/aggregator/aggregator_agent.py | 418 ++++++++++++++---- .../dashboard/modules/aggregator/constants.py | 2 - .../aggregator/multi_consumer_event_buffer.py | 175 -------- .../modules/aggregator/publisher/__init__.py | 0 .../publisher/async_publisher_client.py | 127 ------ .../modules/aggregator/publisher/configs.py | 24 - .../modules/aggregator/publisher/metrics.py | 53 --- .../publisher/ray_event_publisher.py | 275 ------------ .../aggregator/tests/test_aggregator_agent.py | 58 +-- .../tests/test_multi_consumer_event_buffer.py | 239 ---------- .../tests/test_ray_event_publisher.py | 164 ------- python/ray/tests/test_metrics_agent.py | 63 +-- 12 files changed, 344 insertions(+), 1254 deletions(-) delete mode 100644 python/ray/dashboard/modules/aggregator/constants.py delete mode 100644 python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py delete mode 100644 python/ray/dashboard/modules/aggregator/publisher/__init__.py delete mode 100644 python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py delete mode 100644 python/ray/dashboard/modules/aggregator/publisher/configs.py delete mode 100644 python/ray/dashboard/modules/aggregator/publisher/metrics.py delete mode 100644 python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py delete mode 100644 python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py delete mode 100644 python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py diff --git a/python/ray/dashboard/modules/aggregator/aggregator_agent.py b/python/ray/dashboard/modules/aggregator/aggregator_agent.py index 83b0c85807aa..e5300d30a517 100644 --- a/python/ray/dashboard/modules/aggregator/aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/aggregator_agent.py @@ -1,38 +1,47 @@ import asyncio +import json import logging import os +import queue +import signal +import threading +import time from concurrent.futures import ThreadPoolExecutor +from requests import Session +from requests.adapters import HTTPAdapter +from urllib3.util import Retry + +from ray._private.protobuf_compat import message_to_json + +try: + import prometheus_client + from prometheus_client import Counter +except ImportError: + prometheus_client = None + import ray +import ray.dashboard.consts as dashboard_consts import ray.dashboard.utils as dashboard_utils +from ray._common.utils import get_or_create_event_loop from ray._private import ray_constants -from ray._private.telemetry.open_telemetry_metric_recorder import ( - OpenTelemetryMetricRecorder, -) from ray.core.generated import ( events_base_event_pb2, events_event_aggregator_service_pb2, events_event_aggregator_service_pb2_grpc, ) -from ray.dashboard.modules.aggregator.constants import AGGREGATOR_AGENT_METRIC_PREFIX -from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( - MultiConsumerEventBuffer, -) -from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( - AsyncHttpPublisherClient, -) -from ray.dashboard.modules.aggregator.publisher.ray_event_publisher import ( - NoopPublisher, - RayEventPublisher, -) logger = logging.getLogger(__name__) # Environment variables for the aggregator agent env_var_prefix = "RAY_DASHBOARD_AGGREGATOR_AGENT" -# Max number of threads for the thread pool executor handling CPU intensive tasks -THREAD_POOL_EXECUTOR_MAX_WORKERS = ray_constants.env_integer( - f"{env_var_prefix}_THREAD_POOL_EXECUTOR_MAX_WORKERS", 1 +# Max number of threads for the thread pool executor handling gRPC requests +GRPC_TPE_MAX_WORKERS = ray_constants.env_integer( + f"{env_var_prefix}_GRPC_TPE_MAX_WORKERS", 10 +) +# Number of worker threads that publish events to the external service +PUBLISH_EVENT_WORKERS = ray_constants.env_integer( + f"{env_var_prefix}_PUBLISH_EVENT_WORKERS", 1 ) # Interval to check the main thread liveness CHECK_MAIN_THREAD_LIVENESS_INTERVAL_SECONDS = ray_constants.env_float( @@ -42,12 +51,28 @@ MAX_EVENT_BUFFER_SIZE = ray_constants.env_integer( f"{env_var_prefix}_MAX_EVENT_BUFFER_SIZE", 1000000 ) -# Maximum number of events to send in a single batch to the destination +# Maximum sleep time between sending batches of events to the external service +MAX_BUFFER_SEND_INTERVAL_SECONDS = ray_constants.env_float( + f"{env_var_prefix}_MAX_BUFFER_SEND_INTERVAL_SECONDS", 0.1 +) +# Maximum number of events to send in a single batch to the external service MAX_EVENT_SEND_BATCH_SIZE = ray_constants.env_integer( f"{env_var_prefix}_MAX_EVENT_SEND_BATCH_SIZE", 10000 ) +# Maximum number of retries for sending events to the external service for a single request +REQUEST_BACKOFF_MAX = ray_constants.env_integer( + f"{env_var_prefix}_REQUEST_BACKOFF_MAX", 5 +) +# Backoff factor for the request retries +REQUEST_BACKOFF_FACTOR = ray_constants.env_float( + f"{env_var_prefix}_REQUEST_BACKOFF_FACTOR", 1.0 +) # Address of the external service to send events with format of "http://:" EVENTS_EXPORT_ADDR = os.environ.get(f"{env_var_prefix}_EVENTS_EXPORT_ADDR", "") +# Interval to update metrics +METRICS_UPDATE_INTERVAL_SECONDS = ray_constants.env_float( + f"{env_var_prefix}_METRICS_UPDATE_INTERVAL_SECONDS", 0.1 +) # Event filtering configurations # Comma-separated list of event types that are allowed to be exposed to external services # Valid values: TASK_DEFINITION_EVENT, TASK_EXECUTION_EVENT, ACTOR_TASK_DEFINITION_EVENT, ACTOR_TASK_EXECUTION_EVENT @@ -63,10 +88,46 @@ EXPOSABLE_EVENT_TYPES = os.environ.get( f"{env_var_prefix}_EXPOSABLE_EVENT_TYPES", DEFAULT_EXPOSABLE_EVENT_TYPES ) -# flag to enable publishing events to the external HTTP service -PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE = ray_constants.env_bool( - f"{env_var_prefix}_PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE", True -) + +# Metrics +if prometheus_client: + metrics_prefix = "event_aggregator_agent" + events_received = Counter( + f"{metrics_prefix}_events_received", + "Total number of events received from the upstream components from the " + "AddEvents gRPC call.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) + events_failed_to_add_to_aggregator = Counter( + f"{metrics_prefix}_events_failed_to_add_to_aggregator", + "Total number of events failed to add to the event aggregator. The metric " + "counts the events received by the aggregator agent from the AddEvents gRPC " + "call but failed to add to the buffer due to unexpected errors.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) + events_dropped_at_event_aggregator = Counter( + f"{metrics_prefix}_events_dropped_at_event_aggregator", + "Total number of events dropped at the event aggregator due to the buffer " + "being full.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) + events_published = Counter( + f"{metrics_prefix}_events_published", + "Total number of events successfully published to the external server.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) + events_filtered_out = Counter( + f"{metrics_prefix}_events_filtered_out", + "Total number of events filtered out before publishing to external server. The " + "metric counts the events that are received by the aggregator agent but are " + "not part of the public API yet.", + tuple(dashboard_consts.COMPONENT_METRICS_TAG_KEYS), + namespace="ray", + ) class AggregatorAgent( @@ -83,82 +144,74 @@ def __init__(self, dashboard_agent) -> None: super().__init__(dashboard_agent) self._ip = dashboard_agent.ip self._pid = os.getpid() - - # common prometheus labels for aggregator-owned metrics - self._common_tags = { - "ip": self._ip, - "pid": str(self._pid), - "Version": ray.__version__, - "Component": "aggregator_agent", - "SessionName": self.session_name, - } - - self._event_buffer = MultiConsumerEventBuffer( - max_size=MAX_EVENT_BUFFER_SIZE, - max_batch_size=MAX_EVENT_SEND_BATCH_SIZE, - common_metric_tags=self._common_tags, + self._event_buffer = queue.Queue(maxsize=MAX_EVENT_BUFFER_SIZE) + self._grpc_executor = ThreadPoolExecutor( + max_workers=GRPC_TPE_MAX_WORKERS, + thread_name_prefix="event_aggregator_agent_grpc_executor", ) - self._executor = ThreadPoolExecutor( - max_workers=THREAD_POOL_EXECUTOR_MAX_WORKERS, - thread_name_prefix="aggregator_agent_executor", + + self._http_session = Session() + retries = Retry( + total=REQUEST_BACKOFF_MAX, + backoff_factor=REQUEST_BACKOFF_FACTOR, + status_forcelist=[500, 502, 503, 504], + allowed_methods={"POST"}, + respect_retry_after_header=True, ) + self._http_session.mount("http://", HTTPAdapter(max_retries=retries)) + self._http_session.mount("https://", HTTPAdapter(max_retries=retries)) + self._lock = threading.Lock() + self._stop_event = threading.Event() + self._publisher_threads = [] + self._events_received_since_last_metrics_update = 0 + self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 + self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 + self._events_published_since_last_metrics_update = 0 + self._events_filtered_out_since_last_metrics_update = 0 self._events_export_addr = ( dashboard_agent.events_export_addr or EVENTS_EXPORT_ADDR ) + self._event_http_target_enabled = bool(self._events_export_addr) + if not self._event_http_target_enabled: + logger.info( + "Event HTTP target not set, skipping sending events to " + f"external http service. events_export_addr: {self._events_export_addr}" + ) + + self._event_processing_enabled = self._event_http_target_enabled + if self._event_processing_enabled: + logger.info("Event processing enabled") + else: + logger.info("Event processing disabled") + self._exposable_event_types = { event_type.strip() for event_type in EXPOSABLE_EVENT_TYPES.split(",") if event_type.strip() } - self._event_processing_enabled = False - if PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE and self._events_export_addr: - logger.info( - f"Publishing events to external HTTP service is enabled. events_export_addr: {self._events_export_addr}" - ) - self._event_processing_enabled = True - self._http_endpoint_publisher = RayEventPublisher( - name="http_publisher", - publish_client=AsyncHttpPublisherClient( - endpoint=self._events_export_addr, - executor=self._executor, - events_filter_fn=self._can_expose_event, - ), - event_buffer=self._event_buffer, - common_metric_tags=self._common_tags, - ) - else: - logger.info( - f"Event HTTP target is not enabled or publishing events to external HTTP service is disabled. Skipping sending events to external HTTP service. events_export_addr: {self._events_export_addr}" - ) - self._http_endpoint_publisher = NoopPublisher() + self._orig_sigterm_handler = signal.signal( + signal.SIGTERM, self._sigterm_handler + ) - # Metrics - self._open_telemetry_metric_recorder = OpenTelemetryMetricRecorder() + self._is_cleanup = False + self._cleanup_finished_event = threading.Event() - # Register counter metrics - self._events_received_metric_name = ( - f"{AGGREGATOR_AGENT_METRIC_PREFIX}_events_received_total" - ) - self._open_telemetry_metric_recorder.register_counter_metric( - self._events_received_metric_name, - "Total number of events received via AddEvents gRPC.", - ) + async def AddEvents(self, request, context) -> None: + """ + gRPC handler for adding events to the event aggregator + """ + loop = get_or_create_event_loop() - self._events_failed_to_add_metric_name = ( - f"{AGGREGATOR_AGENT_METRIC_PREFIX}_events_buffer_add_failures_total" - ) - self._open_telemetry_metric_recorder.register_counter_metric( - self._events_failed_to_add_metric_name, - "Total number of events that failed to be added to the event buffer.", + return await loop.run_in_executor( + self._grpc_executor, self._receive_events, request ) - async def AddEvents(self, request, context) -> None: + def _receive_events(self, request): """ - gRPC handler for adding events to the event aggregator. Receives events from the - request and adds them to the event buffer. + Receives events from the request, adds them to the event buffer, """ if not self._event_processing_enabled: return events_event_aggregator_service_pb2.AddEventsReply() @@ -168,20 +221,28 @@ async def AddEvents(self, request, context) -> None: # downstream events_data = request.events_data for event in events_data.events: - self._open_telemetry_metric_recorder.set_metric_value( - self._events_received_metric_name, self._common_tags, 1 - ) + with self._lock: + self._events_received_since_last_metrics_update += 1 try: - await self._event_buffer.add_event(event) + self._event_buffer.put_nowait(event) + except queue.Full: + # Remove the oldest event to make room for the new event. + self._event_buffer.get_nowait() + self._event_buffer.put_nowait(event) + with self._lock: + self._events_dropped_at_event_aggregator_since_last_metrics_update += ( + 1 + ) except Exception as e: logger.error( f"Failed to add event with id={event.event_id.decode()} to buffer. " "Error: %s", e, ) - self._open_telemetry_metric_recorder.set_metric_value( - self._events_failed_to_add_metric_name, self._common_tags, 1 - ) + with self._lock: + self._events_failed_to_add_to_aggregator_since_last_metrics_update += ( + 1 + ) return events_event_aggregator_service_pb2.AddEventsReply() @@ -194,18 +255,193 @@ def _can_expose_event(self, event) -> bool: in self._exposable_event_types ) + def _send_events_to_external_service(self, event_batch) -> None: + """ + Sends a batch of events to the external service via HTTP POST request + """ + if not event_batch or not self._event_http_target_enabled: + return + + filtered_event_batch = [ + event for event in event_batch if self._can_expose_event(event) + ] + if not filtered_event_batch: + # All events were filtered out, update metrics and return to avoid an empty POST. + with self._lock: + self._events_filtered_out_since_last_metrics_update += len(event_batch) + event_batch.clear() + return + + # Convert protobuf objects to JSON dictionaries for HTTP POST + filtered_event_batch_json = [ + json.loads( + message_to_json(event, always_print_fields_with_no_presence=True) + ) + for event in filtered_event_batch + ] + + try: + response = self._http_session.post( + f"{self._events_export_addr}", json=filtered_event_batch_json + ) + response.raise_for_status() + with self._lock: + self._events_published_since_last_metrics_update += len( + filtered_event_batch + ) + self._events_filtered_out_since_last_metrics_update += len( + event_batch + ) - len(filtered_event_batch) + event_batch.clear() + except Exception as e: + logger.error("Failed to send events to external service. Error: %s", e) + + def _publish_events(self) -> None: + """ + Continuously publishes events from the event buffer to the external service + """ + event_batch = [] + + while True: + while len(event_batch) < MAX_EVENT_SEND_BATCH_SIZE: + try: + event_proto = self._event_buffer.get(block=False) + event_batch.append(event_proto) + except queue.Empty: + break + + if event_batch: + # Send the batch of events to the external service. + # If failed, event_batch will be reused in the next iteration. + # Retry sending with other events in the next iteration. + self._send_events_to_external_service(event_batch) + else: + should_stop = self._stop_event.wait(MAX_BUFFER_SEND_INTERVAL_SECONDS) + if should_stop: + # Send any remaining events before stopping. + self._send_events_to_external_service(event_batch) + return + + def _update_metrics(self) -> None: + """ + Updates the Prometheus metrics + """ + if not prometheus_client: + return + + with self._lock: + _events_received = self._events_received_since_last_metrics_update + _events_failed_to_add_to_aggregator = ( + self._events_failed_to_add_to_aggregator_since_last_metrics_update + ) + _events_dropped_at_event_aggregator = ( + self._events_dropped_at_event_aggregator_since_last_metrics_update + ) + _events_published = self._events_published_since_last_metrics_update + _events_filtered_out = self._events_filtered_out_since_last_metrics_update + + self._events_received_since_last_metrics_update = 0 + self._events_failed_to_add_to_aggregator_since_last_metrics_update = 0 + self._events_dropped_at_event_aggregator_since_last_metrics_update = 0 + self._events_published_since_last_metrics_update = 0 + self._events_filtered_out_since_last_metrics_update = 0 + + labels = { + "ip": self._ip, + "pid": self._pid, + "Version": ray.__version__, + "Component": "event_aggregator_agent", + "SessionName": self.session_name, + } + events_received.labels(**labels).inc(_events_received) + events_failed_to_add_to_aggregator.labels(**labels).inc( + _events_failed_to_add_to_aggregator + ) + events_dropped_at_event_aggregator.labels(**labels).inc( + _events_dropped_at_event_aggregator + ) + events_published.labels(**labels).inc(_events_published) + events_filtered_out.labels(**labels).inc(_events_filtered_out) + + def _check_main_thread_liveness(self) -> None: + """ + Continuously checks if the main thread is alive. If the main thread is not alive, + it sets the stop event to trigger cleanup and shutdown of the agent. + """ + while True: + if not threading.main_thread().is_alive(): + self._stop_event.set() + if self._stop_event.is_set(): + self._cleanup() + break + time.sleep(CHECK_MAIN_THREAD_LIVENESS_INTERVAL_SECONDS) + + def _cleanup(self) -> None: + """ + Cleans up the aggregator agent by stopping the publisher threads, + sending any remaining events in the buffer, and updating metrics. + """ + + should_wait_cleanup_finished = False + with self._lock: + if self._is_cleanup: + should_wait_cleanup_finished = True + self._is_cleanup = True + + if should_wait_cleanup_finished: + # If cleanup is already in progress, wait for it to finish. + self._cleanup_finished_event.wait() + return + + # Send any remaining events in the buffer + event_batch = [] + while True: + try: + event_proto = self._event_buffer.get(block=False) + event_batch.append(event_proto) + except: # noqa: E722 + break + + self._send_events_to_external_service(event_batch) + + for thread in self._publisher_threads: + thread.join() + + # Update metrics immediately + self._update_metrics() + + self._cleanup_finished_event.set() + + def _sigterm_handler(self, signum: int, frame) -> None: + self._stop_event.set() + self._cleanup() + self._orig_sigterm_handler(signum, frame) + async def run(self, server) -> None: if server: events_event_aggregator_service_pb2_grpc.add_EventAggregatorServiceServicer_to_server( self, server ) - try: - await asyncio.gather( - self._http_endpoint_publisher.run_forever(), + thread = threading.Thread( + target=self._check_main_thread_liveness, + name="event_aggregator_agent_check_main_thread_liveness", + daemon=False, + ) + thread.start() + + for _ in range(PUBLISH_EVENT_WORKERS): + thread = threading.Thread( + target=self._publish_events, + name="event_aggregator_agent_publish_events", + daemon=False, ) - finally: - self._executor.shutdown() + self._publisher_threads.append(thread) + thread.start() + + while True: + self._update_metrics() + await asyncio.sleep(METRICS_UPDATE_INTERVAL_SECONDS) @staticmethod def is_minimal_module() -> bool: diff --git a/python/ray/dashboard/modules/aggregator/constants.py b/python/ray/dashboard/modules/aggregator/constants.py deleted file mode 100644 index 0a0602800b91..000000000000 --- a/python/ray/dashboard/modules/aggregator/constants.py +++ /dev/null @@ -1,2 +0,0 @@ -AGGREGATOR_AGENT_METRIC_PREFIX = "aggregator_agent" -CONSUMER_TAG_KEY = "consumer" diff --git a/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py b/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py deleted file mode 100644 index 2ff960edbd70..000000000000 --- a/python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py +++ /dev/null @@ -1,175 +0,0 @@ -import asyncio -import time -from collections import deque -from dataclasses import dataclass -from typing import Dict, List, Optional - -from ray._private.telemetry.open_telemetry_metric_recorder import ( - OpenTelemetryMetricRecorder, -) -from ray.core.generated import ( - events_base_event_pb2, -) -from ray.core.generated.events_base_event_pb2 import RayEvent -from ray.dashboard.modules.aggregator.constants import ( - AGGREGATOR_AGENT_METRIC_PREFIX, - CONSUMER_TAG_KEY, -) - - -@dataclass -class _ConsumerState: - # Index of the next event to be consumed by this consumer - cursor_index: int - - -class MultiConsumerEventBuffer: - """A buffer which allows adding one event at a time and consuming events in batches. - Supports multiple consumers, each with their own cursor index. Tracks the number of events evicted for each consumer. - - Buffer is not thread-safe but is asyncio-friendly. All operations must be called from within the same event loop. - - Arguments: - max_size: Maximum number of events to store in the buffer. - max_batch_size: Maximum number of events to return in a batch when calling wait_for_batch. - common_metric_tags: Tags to add to all metrics. - """ - - def __init__( - self, - max_size: int, - max_batch_size: int, - common_metric_tags: Optional[Dict[str, str]] = None, - ): - self._buffer = deque(maxlen=max_size) - self._max_size = max_size - self._lock = asyncio.Lock() - self._has_new_events_to_consume = asyncio.Condition(self._lock) - self._consumers: Dict[str, _ConsumerState] = {} - - self._max_batch_size = max_batch_size - - self._common_metrics_tags = common_metric_tags or {} - self._metric_recorder = OpenTelemetryMetricRecorder() - self.evicted_events_metric_name = ( - f"{AGGREGATOR_AGENT_METRIC_PREFIX}_queue_dropped_events" - ) - self._metric_recorder.register_counter_metric( - self.evicted_events_metric_name, - "Total number of events dropped because the publish/buffer queue was full.", - ) - - async def add_event(self, event: events_base_event_pb2.RayEvent) -> None: - """Add an event to the buffer. - - If the buffer is full, the oldest event is dropped. - """ - async with self._lock: - dropped_event = None - if len(self._buffer) >= self._max_size: - dropped_event = self._buffer.popleft() - self._buffer.append(event) - - if dropped_event is not None: - for consumer_name, consumer_state in self._consumers.items(): - # Update consumer cursor index and evicted events metric if an event was dropped - if consumer_state.cursor_index == 0: - # The dropped event was the next event this consumer would have consumed, publish eviction metric - self._metric_recorder.set_metric_value( - self.evicted_events_metric_name, - { - **self._common_metrics_tags, - CONSUMER_TAG_KEY: consumer_name, - "event_type": RayEvent.EventType.Name( - dropped_event.event_type - ), - }, - 1, - ) - else: - # The dropped event was already consumed by the consumer, so we need to adjust the cursor - consumer_state.cursor_index -= 1 - - # Signal the consumers that there are new events to consume - self._has_new_events_to_consume.notify_all() - - async def wait_for_batch( - self, consumer_name: str, timeout_seconds: float = 1.0 - ) -> List[events_base_event_pb2.RayEvent]: - """Wait for batch respecting self.max_batch_size and timeout_seconds. - - Returns a batch of up to self.max_batch_size items. Waits for up to - timeout_seconds after receiving the first event that will be in - the next batch. After the timeout, returns as many items as are ready. - - Always returns a batch with at least one item - will block - indefinitely until an item comes in. - - Arguments: - consumer_name: name of the consumer consuming the batch - timeout_seconds: maximum time to wait for a batch - - Returns: - A list of up to max_batch_size events ready for consumption. - The list always contains at least one event. - """ - max_batch = self._max_batch_size - batch = [] - async with self._has_new_events_to_consume: - consumer_state = self._consumers.get(consumer_name) - if consumer_state is None: - raise KeyError(f"unknown consumer '{consumer_name}'") - - # Phase 1: read the first event, wait indefinitely until there is at least one event to consume - while consumer_state.cursor_index >= len(self._buffer): - await self._has_new_events_to_consume.wait() - - # Add the first event to the batch - event = self._buffer[consumer_state.cursor_index] - consumer_state.cursor_index += 1 - batch.append(event) - - # Phase 2: add items to the batch up to timeout or until full - deadline = time.monotonic() + max(0.0, float(timeout_seconds)) - while len(batch) < max_batch: - remaining = deadline - time.monotonic() - if remaining <= 0: - break - - # Drain whatever is available - while len(batch) < max_batch and consumer_state.cursor_index < len( - self._buffer - ): - batch.append(self._buffer[consumer_state.cursor_index]) - consumer_state.cursor_index += 1 - - if len(batch) >= max_batch: - break - - # There is still room in the batch, but no new events to consume; wait until notified or timeout - try: - await asyncio.wait_for( - self._has_new_events_to_consume.wait(), remaining - ) - except asyncio.TimeoutError: - # Timeout, return the current batch - break - - return batch - - async def register_consumer(self, consumer_name: str) -> None: - """Register a new consumer with a name. - - Arguments: - consumer_name: A unique name for the consumer. - - """ - async with self._lock: - if self._consumers.get(consumer_name) is not None: - raise ValueError(f"consumer '{consumer_name}' already registered") - - self._consumers[consumer_name] = _ConsumerState(cursor_index=0) - - async def size(self) -> int: - """Get total number of events in the buffer. Does not take consumer cursors into account.""" - return len(self._buffer) diff --git a/python/ray/dashboard/modules/aggregator/publisher/__init__.py b/python/ray/dashboard/modules/aggregator/publisher/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py b/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py deleted file mode 100644 index 15fd7382d4f1..000000000000 --- a/python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py +++ /dev/null @@ -1,127 +0,0 @@ -import json -import logging -from abc import ABC, abstractmethod -from concurrent.futures import ThreadPoolExecutor -from dataclasses import dataclass -from typing import Callable - -import aiohttp - -from ray._common.utils import get_or_create_event_loop -from ray._private.protobuf_compat import message_to_json -from ray.core.generated import events_base_event_pb2 -from ray.dashboard.modules.aggregator.publisher.configs import PUBLISHER_TIMEOUT_SECONDS - -logger = logging.getLogger(__name__) - - -@dataclass -class PublishStats: - """Data class that represents stats of publishing a batch of events.""" - - # Whether the publish was successful - is_publish_successful: bool - # Number of events published - num_events_published: int - # Number of events filtered out - num_events_filtered_out: int - - -@dataclass -class PublishBatch: - """Data class that represents a batch of events to publish.""" - - # The list of events to publish - events: list[events_base_event_pb2.RayEvent] - - -class PublisherClientInterface(ABC): - """Abstract interface for publishing Ray event batches to external destinations. - - Implementations should handle the actual publishing logic, filtering, - and format conversion appropriate for their specific destination type. - """ - - def count_num_events_in_batch(self, batch: PublishBatch) -> int: - """Count the number of events in a given batch.""" - return len(batch.events) - - @abstractmethod - async def publish(self, batch: PublishBatch) -> PublishStats: - """Publish a batch of events to the destination.""" - pass - - @abstractmethod - async def close(self) -> None: - """Clean up any resources used by this client. Should be called when the publisherClient is no longer required""" - pass - - -class AsyncHttpPublisherClient(PublisherClientInterface): - """Client for publishing ray event batches to an external HTTP service.""" - - def __init__( - self, - endpoint: str, - executor: ThreadPoolExecutor, - events_filter_fn: Callable[[object], bool], - timeout: float = PUBLISHER_TIMEOUT_SECONDS, - ) -> None: - self._endpoint = endpoint - self._executor = executor - self._events_filter_fn = events_filter_fn - self._timeout = aiohttp.ClientTimeout(total=timeout) - self._session = None - - async def publish(self, batch: PublishBatch) -> PublishStats: - events_batch: list[events_base_event_pb2.RayEvent] = batch.events - if not events_batch: - # Nothing to publish -> success but nothing published - return PublishStats(True, 0, 0) - filtered = [e for e in events_batch if self._events_filter_fn(e)] - num_filtered_out = len(events_batch) - len(filtered) - if not filtered: - # All filtered out -> success but nothing published - return PublishStats(True, 0, num_filtered_out) - - # Convert protobuf objects to python dictionaries for HTTP POST. Run in executor to avoid blocking the event loop. - filtered_json = await get_or_create_event_loop().run_in_executor( - self._executor, - lambda: [ - json.loads( - message_to_json(e, always_print_fields_with_no_presence=True) - ) - for e in filtered - ], - ) - - try: - # Create session on first use (lazy initialization) - if not self._session: - self._session = aiohttp.ClientSession(timeout=self._timeout) - - return await self._send_http_request(filtered_json, num_filtered_out) - except Exception as e: - logger.error("Failed to send events to external service. Error: %s", e) - return PublishStats(False, 0, 0) - - async def _send_http_request(self, json_data, num_filtered_out) -> PublishStats: - async with self._session.post( - self._endpoint, - json=json_data, - ) as resp: - resp.raise_for_status() - return PublishStats(True, len(json_data), num_filtered_out) - - async def close(self) -> None: - """Closes the http session if one was created. Should be called when the publisherClient is no longer required""" - if self._session: - await self._session.close() - self._session = None - - def set_session(self, session) -> None: - """Inject an HTTP client session. - - If a session is set explicitly, it will be used and managed by close(). - """ - self._session = session diff --git a/python/ray/dashboard/modules/aggregator/publisher/configs.py b/python/ray/dashboard/modules/aggregator/publisher/configs.py deleted file mode 100644 index 3e2c048389cb..000000000000 --- a/python/ray/dashboard/modules/aggregator/publisher/configs.py +++ /dev/null @@ -1,24 +0,0 @@ -# Environment variables for the aggregator agent publisher component. -from ray._private import ray_constants - -env_var_prefix = "RAY_DASHBOARD_AGGREGATOR_AGENT_PUBLISHER" -# Timeout for the publisher to publish events to the destination -PUBLISHER_TIMEOUT_SECONDS = ray_constants.env_integer( - f"{env_var_prefix}_TIMEOUT_SECONDS", 3 -) -# Maximum number of retries for publishing events to the destination, if less than 0, will retry indefinitely -PUBLISHER_MAX_RETRIES = ray_constants.env_integer(f"{env_var_prefix}_MAX_RETRIES", -1) -# Initial backoff time for publishing events to the destination -PUBLISHER_INITIAL_BACKOFF_SECONDS = ray_constants.env_float( - f"{env_var_prefix}_INITIAL_BACKOFF_SECONDS", 0.01 -) -# Maximum backoff time for publishing events to the destination -PUBLISHER_MAX_BACKOFF_SECONDS = ray_constants.env_float( - f"{env_var_prefix}_MAX_BACKOFF_SECONDS", 5.0 -) -# Jitter ratio for publishing events to the destination -PUBLISHER_JITTER_RATIO = ray_constants.env_float(f"{env_var_prefix}_JITTER_RATIO", 0.1) -# Maximum sleep time between sending batches of events to the destination, should be greater than 0.0 to avoid busy looping -PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS = ray_constants.env_float( - f"{env_var_prefix}_MAX_BUFFER_SEND_INTERVAL_SECONDS", 1 -) diff --git a/python/ray/dashboard/modules/aggregator/publisher/metrics.py b/python/ray/dashboard/modules/aggregator/publisher/metrics.py deleted file mode 100644 index 786a0081d510..000000000000 --- a/python/ray/dashboard/modules/aggregator/publisher/metrics.py +++ /dev/null @@ -1,53 +0,0 @@ -from ray._private.telemetry.open_telemetry_metric_recorder import ( - OpenTelemetryMetricRecorder, -) -from ray.dashboard.modules.aggregator.constants import ( - AGGREGATOR_AGENT_METRIC_PREFIX, -) - -# OpenTelemetry metrics setup (registered once at import time) -metric_recorder = OpenTelemetryMetricRecorder() - -# Counter metrics -published_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_published_events" -metric_recorder.register_counter_metric( - published_counter_name, - "Total number of events successfully published to the destination.", -) - -filtered_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_filtered_events" -metric_recorder.register_counter_metric( - filtered_counter_name, - "Total number of events filtered out before publishing to the destination.", -) - -failed_counter_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_publish_failures" -metric_recorder.register_counter_metric( - failed_counter_name, - "Total number of events that failed to publish after retries.", -) - -# Histogram metric -publish_latency_hist_name = f"{AGGREGATOR_AGENT_METRIC_PREFIX}_publish_latency_seconds" -metric_recorder.register_histogram_metric( - publish_latency_hist_name, - "Duration of publish calls in seconds.", - [0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2, 5], -) - -# Gauge metrics -consecutive_failures_gauge_name = ( - f"{AGGREGATOR_AGENT_METRIC_PREFIX}_consecutive_failures_since_last_success" -) -metric_recorder.register_gauge_metric( - consecutive_failures_gauge_name, - "Number of consecutive failed publish attempts since the last success.", -) - -time_since_last_success_gauge_name = ( - f"{AGGREGATOR_AGENT_METRIC_PREFIX}_time_since_last_success_seconds" -) -metric_recorder.register_gauge_metric( - time_since_last_success_gauge_name, - "Seconds since the last successful publish to the destination.", -) diff --git a/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py b/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py deleted file mode 100644 index 997c3f2cb0d7..000000000000 --- a/python/ray/dashboard/modules/aggregator/publisher/ray_event_publisher.py +++ /dev/null @@ -1,275 +0,0 @@ -import asyncio -import logging -import random -from abc import ABC, abstractmethod -from typing import Dict, Optional - -from ray.dashboard.modules.aggregator.constants import ( - CONSUMER_TAG_KEY, -) -from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( - MultiConsumerEventBuffer, -) -from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( - PublishBatch, - PublisherClientInterface, -) -from ray.dashboard.modules.aggregator.publisher.configs import ( - PUBLISHER_INITIAL_BACKOFF_SECONDS, - PUBLISHER_JITTER_RATIO, - PUBLISHER_MAX_BACKOFF_SECONDS, - PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, - PUBLISHER_MAX_RETRIES, -) -from ray.dashboard.modules.aggregator.publisher.metrics import ( - consecutive_failures_gauge_name, - failed_counter_name, - filtered_counter_name, - metric_recorder, - publish_latency_hist_name, - published_counter_name, - time_since_last_success_gauge_name, -) - -logger = logging.getLogger(__name__) - - -class RayEventPublisherInterface(ABC): - """Abstract interface for publishing Ray event batches to external destinations.""" - - @abstractmethod - async def run_forever(self) -> None: - """Run the publisher forever until cancellation or process death.""" - pass - - @abstractmethod - async def wait_until_running(self, timeout: Optional[float] = None) -> bool: - """Wait until the publisher has started.""" - pass - - -class RayEventPublisher(RayEventPublisherInterface): - """RayEvents publisher that publishes batches of events to a destination by running a worker loop. - - The worker loop continuously pulls batches from the event buffer and publishes them to the destination. - """ - - def __init__( - self, - name: str, - publish_client: PublisherClientInterface, - event_buffer: MultiConsumerEventBuffer, - common_metric_tags: Optional[Dict[str, str]] = None, - max_retries: int = PUBLISHER_MAX_RETRIES, - initial_backoff: float = PUBLISHER_INITIAL_BACKOFF_SECONDS, - max_backoff: float = PUBLISHER_MAX_BACKOFF_SECONDS, - jitter_ratio: float = PUBLISHER_JITTER_RATIO, - ) -> None: - """Initialize a RayEventsPublisher. - - Args: - name: Name identifier for this publisher instance - publish_client: Client for publishing events to the destination - event_buffer: Buffer for reading batches of events - common_metric_tags: Common labels for all prometheus metrics - max_retries: Maximum number of retries for failed publishes - initial_backoff: Initial backoff time between retries in seconds - max_backoff: Maximum backoff time between retries in seconds - jitter_ratio: Random jitter ratio to add to backoff times - """ - self._name = name - self._common_metric_tags = dict(common_metric_tags or {}) - self._common_metric_tags[CONSUMER_TAG_KEY] = name - self._max_retries = int(max_retries) - self._initial_backoff = float(initial_backoff) - self._max_backoff = float(max_backoff) - self._jitter_ratio = float(jitter_ratio) - self._publish_client = publish_client - self._event_buffer = event_buffer - - # Event set once the publisher has registered as a consumer and is ready to publish events - self._started_event: asyncio.Event = asyncio.Event() - - async def run_forever(self) -> None: - """Run the publisher forever until cancellation or process death. - - Registers as a consumer, starts the worker loop, and handles cleanup on cancellation. - """ - await self._event_buffer.register_consumer(self._name) - - # Signal that the publisher is ready to publish events - self._started_event.set() - - try: - logger.info(f"Starting publisher {self._name}") - while True: - batch = await self._event_buffer.wait_for_batch( - self._name, - PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, - ) - publish_batch = PublishBatch(events=batch) - await self._async_publish_with_retries(publish_batch) - except asyncio.CancelledError: - logger.info(f"Publisher {self._name} cancelled, shutting down gracefully") - self._started_event.clear() - await self._publish_client.close() - raise - except Exception as e: - logger.error(f"Publisher {self._name} encountered error: {e}") - self._started_event.clear() - await self._publish_client.close() - raise - - async def wait_until_running(self, timeout: Optional[float] = None) -> bool: - """Wait until the publisher has started. - - Args: - timeout: Maximum time to wait in seconds. If None, waits indefinitely. - - Returns: - True if the publisher started before the timeout, False otherwise. - If timeout is None, waits indefinitely. - """ - if timeout is None: - await self._started_event.wait() - return True - try: - await asyncio.wait_for(self._started_event.wait(), timeout) - return True - except asyncio.TimeoutError: - return False - - async def _async_publish_with_retries(self, batch) -> None: - """Attempts to publish a batch with retries. - - Will retry failed publishes up to max_retries times with increasing delays. - """ - num_events_in_batch = self._publish_client.count_num_events_in_batch(batch) - failed_attempts_since_last_success = 0 - while True: - start = asyncio.get_running_loop().time() - result = await self._publish_client.publish(batch) - duration = asyncio.get_running_loop().time() - start - - if result.is_publish_successful: - await self._record_success( - num_published=int(result.num_events_published), - num_filtered=int(result.num_events_filtered_out), - duration=float(duration), - ) - failed_attempts_since_last_success = 0 - return - - # Failed attempt - # case 1: if max retries are exhausted mark as failed and break out, retry indefinitely if max_retries is less than 0 - if ( - self._max_retries >= 0 - and failed_attempts_since_last_success >= self._max_retries - ): - await self._record_final_failure( - num_failed_events=int(num_events_in_batch), - duration=float(duration), - ) - return - - # case 2: max retries not exhausted, increment failed attempts counter and add latency to failure list, retry publishing batch with backoff - failed_attempts_since_last_success += 1 - await self._record_retry_failure( - duration=float(duration), - failed_attempts=int(failed_attempts_since_last_success), - ) - - await self._async_sleep_with_backoff(failed_attempts_since_last_success) - - async def _async_sleep_with_backoff(self, attempt: int) -> None: - """Sleep with exponential backoff and optional jitter. - - Args: - attempt: The current attempt number (0-based) - """ - delay = min( - self._max_backoff, - self._initial_backoff * (2**attempt), - ) - if self._jitter_ratio > 0: - jitter = delay * self._jitter_ratio - delay = max(0.0, random.uniform(delay - jitter, delay + jitter)) - await asyncio.sleep(delay) - - async def _record_success( - self, num_published: int, num_filtered: int, duration: float - ) -> None: - """Update in-memory stats and Prometheus metrics for a successful publish.""" - if num_published > 0: - metric_recorder.set_metric_value( - published_counter_name, - self._common_metric_tags, - int(num_published), - ) - if num_filtered > 0: - metric_recorder.set_metric_value( - filtered_counter_name, self._common_metric_tags, int(num_filtered) - ) - metric_recorder.set_metric_value( - consecutive_failures_gauge_name, self._common_metric_tags, 0 - ) - metric_recorder.set_metric_value( - time_since_last_success_gauge_name, self._common_metric_tags, 0 - ) - metric_recorder.set_metric_value( - publish_latency_hist_name, - {**self._common_metric_tags, "Outcome": "success"}, - float(duration), - ) - - async def _record_retry_failure( - self, duration: float, failed_attempts: int - ) -> None: - """Update Prometheus metrics for a retryable failure attempt.""" - metric_recorder.set_metric_value( - consecutive_failures_gauge_name, - self._common_metric_tags, - int(failed_attempts), - ) - metric_recorder.set_metric_value( - publish_latency_hist_name, - {**self._common_metric_tags, "Outcome": "failure"}, - float(duration), - ) - - async def _record_final_failure( - self, num_failed_events: int, duration: float - ) -> None: - """Update in-memory stats and Prometheus metrics for a final (non-retryable) failure.""" - if num_failed_events > 0: - metric_recorder.set_metric_value( - failed_counter_name, - self._common_metric_tags, - int(num_failed_events), - ) - metric_recorder.set_metric_value( - consecutive_failures_gauge_name, self._common_metric_tags, 0 - ) - metric_recorder.set_metric_value( - publish_latency_hist_name, - {**self._common_metric_tags, "Outcome": "failure"}, - float(duration), - ) - - -class NoopPublisher(RayEventPublisherInterface): - """A no-op publisher that adheres to the minimal interface used by AggregatorAgent. - - Used when a destination is disabled. It runs forever but does nothing. - """ - - async def run_forever(self) -> None: - """Run forever doing nothing until cancellation.""" - try: - await asyncio.Event().wait() - except asyncio.CancelledError: - logger.info("NoopPublisher cancelled") - raise - - async def wait_until_running(self, timeout: Optional[float] = None) -> bool: - return True diff --git a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py index 17294c0b1ed8..49de7042ca75 100644 --- a/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py +++ b/python/ray/dashboard/modules/aggregator/tests/test_aggregator_agent.py @@ -47,9 +47,6 @@ from ray.core.generated.events_task_profile_events_pb2 import TaskProfileEvents from ray.core.generated.profile_events_pb2 import ProfileEventEntry, ProfileEvents from ray.dashboard.modules.aggregator.aggregator_agent import AggregatorAgent -from ray.dashboard.modules.aggregator.publisher.configs import ( - PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, -) from ray.dashboard.tests.conftest import * # noqa _EVENT_AGGREGATOR_AGENT_TARGET_PORT = find_free_port() @@ -128,9 +125,8 @@ def test_aggregator_agent_http_target_not_enabled( ): dashboard_agent = MagicMock() dashboard_agent.events_export_addr = export_addr - dashboard_agent.session_name = "test_session" - dashboard_agent.ip = "127.0.0.1" agent = AggregatorAgent(dashboard_agent) + assert agent._event_http_target_enabled == expected_http_target_enabled assert agent._event_processing_enabled == expected_event_processing_enabled @@ -840,57 +836,5 @@ def test_aggregator_agent_receive_driver_job_lifecycle_event( ) -@pytest.mark.parametrize( - "ray_start_cluster_head_with_env_vars", - [ - { - "env_vars": { - "RAY_DASHBOARD_AGGREGATOR_AGENT_PUBLISH_EVENTS_TO_EXTERNAL_HTTP_SERVICE": "False", - "RAY_DASHBOARD_AGGREGATOR_AGENT_EVENTS_EXPORT_ADDR": _EVENT_AGGREGATOR_AGENT_TARGET_ADDR, - }, - }, - ], - indirect=True, -) -def test_aggregator_agent_http_svc_publish_disabled( - ray_start_cluster_head_with_env_vars, httpserver, fake_timestamp -): - cluster = ray_start_cluster_head_with_env_vars - stub = get_event_aggregator_grpc_stub( - cluster.gcs_address, cluster.head_node.node_id - ) - - request = AddEventsRequest( - events_data=RayEventsData( - events=[ - RayEvent( - event_id=b"10", - source_type=RayEvent.SourceType.CORE_WORKER, - event_type=RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=fake_timestamp[0], - severity=RayEvent.Severity.INFO, - message="should not be sent", - ), - ], - task_events_metadata=TaskEventsMetadata( - dropped_task_attempts=[], - ), - ) - ) - - stub.AddEvents(request) - - with pytest.raises( - RuntimeError, match="The condition wasn't met before the timeout expired." - ): - # Wait for up to 2 seconds (publish interval + 1second buffer) to ensure that the event is never published to the external HTTP service - wait_for_condition( - lambda: len(httpserver.log) > 0, - 1 + PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS, - ) - - assert len(httpserver.log) == 0 - - if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py b/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py deleted file mode 100644 index 0f2d0650c948..000000000000 --- a/python/ray/dashboard/modules/aggregator/tests/test_multi_consumer_event_buffer.py +++ /dev/null @@ -1,239 +0,0 @@ -import asyncio -import random -import sys - -import pytest -from google.protobuf.timestamp_pb2 import Timestamp - -from ray.core.generated.events_base_event_pb2 import RayEvent -from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( - MultiConsumerEventBuffer, -) - - -def _create_test_event( - event_id: bytes = b"test", - event_type_enum=RayEvent.EventType.TASK_DEFINITION_EVENT, - message: str = "test message", -): - """Helper function to create a test RayEvent.""" - event = RayEvent() - event.event_id = event_id - event.source_type = RayEvent.SourceType.CORE_WORKER - event.event_type = event_type_enum - event.severity = RayEvent.Severity.INFO - event.message = message - event.session_name = "test_session" - - # Set timestamp - timestamp = Timestamp() - timestamp.GetCurrentTime() - event.timestamp.CopyFrom(timestamp) - - return event - - -class TestMultiConsumerEventBuffer: - @pytest.mark.asyncio - async def test_add_and_consume_event_basic(self): - """Test basic event addition.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - assert await buffer.size() == 0 - - event = _create_test_event(b"event1") - await buffer.add_event(event) - - assert await buffer.size() == 1 - - batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0) - assert len(batch) == 1 - assert batch[0] == event - - @pytest.mark.asyncio - async def test_add_event_buffer_overflow(self): - """Test buffer overflow behavior and eviction logic.""" - buffer = MultiConsumerEventBuffer(max_size=3, max_batch_size=2) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - - # Add events to fill buffer - events = [] - event_types = [ - RayEvent.EventType.TASK_DEFINITION_EVENT, - RayEvent.EventType.TASK_EXECUTION_EVENT, - RayEvent.EventType.ACTOR_TASK_DEFINITION_EVENT, - ] - for i in range(3): - event = _create_test_event(f"event{i}".encode(), event_types[i]) - events.append(event) - await buffer.add_event(event) - - assert await buffer.size() == 3 - - # Add one more event to trigger eviction - overflow_event = _create_test_event( - b"overflow", RayEvent.EventType.TASK_PROFILE_EVENT - ) - await buffer.add_event(overflow_event) - - assert await buffer.size() == 3 # Still max size - - @pytest.mark.asyncio - async def test_wait_for_batch_multiple_events(self): - """Test waiting for batch when multiple events are immediately available and when when not all events are available.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=3) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - - # Add multiple events - events = [] - for i in range(5): - event = _create_test_event(f"event{i}".encode()) - events.append(event) - await buffer.add_event(event) - - # Should get max_batch_size events immediately - batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) - assert len(batch) == 3 # max_batch_size - assert batch == events[:3] - # should now get the leftover events (< max_batch_size) - batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) - assert len(batch) == 2 - assert batch == events[3:] - - @pytest.mark.asyncio - async def test_wait_for_batch_unknown_consumer(self): - """Test error handling for unknown consumer.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) - - with pytest.raises(KeyError, match="unknown consumer"): - await buffer.wait_for_batch("nonexistent_consumer", timeout_seconds=0) - - @pytest.mark.asyncio - async def test_register_consumer_duplicate(self): - """Test error handling for duplicate consumer registration.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - with pytest.raises( - ValueError, match="consumer 'test_consumer' already registered" - ): - await buffer.register_consumer(consumer_name) - - @pytest.mark.asyncio - async def test_multiple_consumers_independent_cursors(self): - """Test that multiple consumers have independent cursors.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=2) - consumer_name_1 = "test_consumer_1" - consumer_name_2 = "test_consumer_2" - await buffer.register_consumer(consumer_name_1) - await buffer.register_consumer(consumer_name_2) - - # Add events - events = [] - for i in range(10): - event = _create_test_event(f"event{i}".encode()) - events.append(event) - await buffer.add_event(event) - - # Consumer 1 reads first batch - batch1 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) - assert batch1 == events[:2] - - # Consumer 2 reads from beginning - batch2 = await buffer.wait_for_batch(consumer_name_2, timeout_seconds=0.1) - assert batch2 == events[:2] - - # consumer 1 reads another batch - batch3 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) - assert batch3 == events[2:4] - - # more events are added leading to events not consumed by consumer 2 getting evicted - # 4 events get evicted, consumer 1 has processed all 4 evicted events previously - # but consumer 2 has only processed 2 out of the 4 evicted events - for i in range(4): - event = _create_test_event(f"event{i + 10}".encode()) - events.append(event) - await buffer.add_event(event) - - # Just ensure buffer remains at max size - assert await buffer.size() == 10 - - # consumer 1 will read the next 2 events, not affected by the evictions - # consumer 1's cursor is adjusted internally to account for the evicted events - batch4 = await buffer.wait_for_batch(consumer_name_1, timeout_seconds=0.1) - assert batch4 == events[4:6] - - # consumer 2 will read 2 events, skipping the evicted events - batch5 = await buffer.wait_for_batch(consumer_name_2, timeout_seconds=0.1) - assert batch5 == events[4:6] # events[2:4] are lost - - @pytest.mark.asyncio - async def test_wait_for_batch_blocks_until_event_available(self): - """Test that wait_for_batch blocks until at least one event is available.""" - buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=5) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - - # Start waiting for batch (should block) - async def wait_for_batch(): - return await buffer.wait_for_batch(consumer_name, timeout_seconds=2.0) - - wait_task = asyncio.create_task(wait_for_batch()) - - # Wait a bit to ensure the task is waiting - await asyncio.sleep(4.0) - assert not wait_task.done() - - # Add an event - event = _create_test_event(b"event1") - await buffer.add_event(event) - - # Now the task should complete - batch = await wait_task - assert len(batch) == 1 - assert batch[0] == event - - @pytest.mark.asyncio - async def test_concurrent_producer_consumer_random_sleeps_with_overall_timeout( - self, - ): - """Producer with random sleeps and consumer reading until all events are received. - - Uses an overall asyncio timeout to ensure the test fails if it hangs - before consuming all events. - """ - total_events = 40 - max_batch_size = 2 - buffer = MultiConsumerEventBuffer(max_size=100, max_batch_size=max_batch_size) - consumer_name = "test_consumer" - await buffer.register_consumer(consumer_name) - - produced_events = [] - consumed_events = [] - - random.seed(0) - - async def producer(): - for i in range(total_events): - event = _create_test_event(f"e{i}".encode()) - produced_events.append(event) - await buffer.add_event(event) - await asyncio.sleep(random.uniform(0.0, 0.02)) - - async def consumer(): - while len(consumed_events) < total_events: - batch = await buffer.wait_for_batch(consumer_name, timeout_seconds=0.1) - consumed_events.extend(batch) - - # The test should fail if this times out before all events are consumed - await asyncio.wait_for(asyncio.gather(producer(), consumer()), timeout=5.0) - - assert len(consumed_events) == total_events - assert consumed_events == produced_events - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py b/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py deleted file mode 100644 index 0ca79dddd446..000000000000 --- a/python/ray/dashboard/modules/aggregator/tests/test_ray_event_publisher.py +++ /dev/null @@ -1,164 +0,0 @@ -import asyncio -import sys -import uuid - -import pytest -from google.protobuf.timestamp_pb2 import Timestamp - -from ray._common.test_utils import async_wait_for_condition -from ray.core.generated import events_base_event_pb2 -from ray.dashboard.modules.aggregator.multi_consumer_event_buffer import ( - MultiConsumerEventBuffer, -) -from ray.dashboard.modules.aggregator.publisher.async_publisher_client import ( - PublisherClientInterface, - PublishStats, -) -from ray.dashboard.modules.aggregator.publisher.ray_event_publisher import ( - NoopPublisher, - RayEventPublisher, -) - - -class MockPublisherClient(PublisherClientInterface): - """Test implementation of PublisherClientInterface.""" - - def __init__( - self, - batch_size: int = 1, - side_effect=lambda batch: PublishStats(True, 1, 0), - ): - self.batch_size = batch_size - self.publish_calls = [] - self._side_effect = side_effect - - async def publish(self, batch) -> PublishStats: - self.publish_calls.append(batch) - return self._side_effect(batch) - - def count_num_events_in_batch(self, batch) -> int: - return self.batch_size - - async def close(self) -> None: - pass - - -@pytest.fixture -def base_kwargs(): - """Common kwargs for publisher initialization.""" - return { - "name": "test", - "max_retries": 2, - "initial_backoff": 0, - "max_backoff": 0, - "jitter_ratio": 0, - "enable_publisher_stats": True, - } - - -class TestRayEventPublisher: - """Test the main RayEventsPublisher functionality.""" - - @pytest.mark.asyncio - async def test_publish_with_retries_failure_then_success(self, base_kwargs): - """Test publish that fails then succeeds.""" - call_count = {"count": 0} - - # fail the first publish call but succeed on retry - def side_effect(batch): - call_count["count"] += 1 - if call_count["count"] == 1: - return PublishStats(False, 0, 0) - return PublishStats(True, 1, 0) - - client = MockPublisherClient(side_effect=side_effect) - event_buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=10) - publisher = RayEventPublisher( - name=base_kwargs["name"] + str(uuid.uuid4()), - publish_client=client, - event_buffer=event_buffer, - max_retries=base_kwargs["max_retries"], - initial_backoff=base_kwargs["initial_backoff"], - max_backoff=base_kwargs["max_backoff"], - jitter_ratio=base_kwargs["jitter_ratio"], - ) - - task = asyncio.create_task(publisher.run_forever()) - try: - # ensure consumer is registered - assert await publisher.wait_until_running(2.0) - # Enqueue one event into buffer - e = events_base_event_pb2.RayEvent( - event_id=b"1", - source_type=events_base_event_pb2.RayEvent.SourceType.CORE_WORKER, - event_type=events_base_event_pb2.RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=Timestamp(seconds=123, nanos=0), - severity=events_base_event_pb2.RayEvent.Severity.INFO, - message="hello", - ) - await event_buffer.add_event(e) - - # wait for two publish attempts (failure then success) - await async_wait_for_condition(lambda: len(client.publish_calls) == 2) - finally: - task.cancel() - with pytest.raises(asyncio.CancelledError): - await task - - @pytest.mark.asyncio - async def test_publish_with_retries_max_retries_exceeded(self, base_kwargs): - """Test publish that fails all retries and records failed events.""" - client = MockPublisherClient( - side_effect=lambda batch: PublishStats(False, 0, 0) - ) - event_buffer = MultiConsumerEventBuffer(max_size=10, max_batch_size=10) - publisher = RayEventPublisher( - name=base_kwargs["name"] + str(uuid.uuid4()), - publish_client=client, - event_buffer=event_buffer, - max_retries=2, # override to finite retries - initial_backoff=0, - max_backoff=0, - jitter_ratio=0, - ) - - task = asyncio.create_task(publisher.run_forever()) - try: - # ensure consumer is registered - assert await publisher.wait_until_running(2.0) - e = events_base_event_pb2.RayEvent( - event_id=b"1", - source_type=events_base_event_pb2.RayEvent.SourceType.CORE_WORKER, - event_type=events_base_event_pb2.RayEvent.EventType.TASK_DEFINITION_EVENT, - timestamp=Timestamp(seconds=123, nanos=0), - severity=events_base_event_pb2.RayEvent.Severity.INFO, - message="hello", - ) - await event_buffer.add_event(e) - - # wait for publish attempts (initial + 2 retries) - await async_wait_for_condition(lambda: len(client.publish_calls) == 3) - assert len(client.publish_calls) == 3 - finally: - task.cancel() - with pytest.raises(asyncio.CancelledError): - await task - - -class TestNoopPublisher: - """Test no-op publisher implementation.""" - - @pytest.mark.asyncio - async def test_all_methods_noop(self): - """Test that run_forever can be cancelled and metrics return expected values.""" - publisher = NoopPublisher() - - # Start and cancel run_forever - task = asyncio.create_task(publisher.run_forever()) - task.cancel() - with pytest.raises(asyncio.CancelledError): - await task - - -if __name__ == "__main__": - sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/tests/test_metrics_agent.py b/python/ray/tests/test_metrics_agent.py index 4f3814a44a01..049ebb85cb19 100644 --- a/python/ray/tests/test_metrics_agent.py +++ b/python/ray/tests/test_metrics_agent.py @@ -40,7 +40,6 @@ TaskEventsMetadata, ) from ray.dashboard.consts import DASHBOARD_METRIC_PORT -from ray.dashboard.modules.aggregator.constants import CONSUMER_TAG_KEY from ray.dashboard.modules.aggregator.tests.test_aggregator_agent import ( get_event_aggregator_grpc_stub, ) @@ -144,15 +143,11 @@ ] _EVENT_AGGREGATOR_METRICS = [ - "ray_aggregator_agent_events_received_total", - "ray_aggregator_agent_published_events_total", - "ray_aggregator_agent_filtered_events_total", - "ray_aggregator_agent_queue_dropped_events_total", - "ray_aggregator_agent_consecutive_failures_since_last_success", - "ray_aggregator_agent_time_since_last_success_seconds", - "ray_aggregator_agent_publish_latency_seconds_bucket", - "ray_aggregator_agent_publish_latency_seconds_count", - "ray_aggregator_agent_publish_latency_seconds_sum", + "ray_event_aggregator_agent_events_received_total", + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", + "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", + "ray_event_aggregator_agent_events_published_total", + "ray_event_aggregator_agent_events_filtered_out_total", ] _NODE_METRICS = [ @@ -494,7 +489,6 @@ def httpserver_listen_address(): # Turn off task events generation to avoid the task events from the # cluster impacting the test result "RAY_task_events_report_interval_ms": 0, - "RAY_enable_open_telemetry": "true", }, }, ], @@ -519,15 +513,11 @@ def test_case_stats_exist(): metric_descriptors = timeseries.metric_descriptors metrics_names = metric_descriptors.keys() event_aggregator_metrics = [ - "ray_aggregator_agent_events_received_total", - "ray_aggregator_agent_published_events_total", - "ray_aggregator_agent_filtered_events_total", - "ray_aggregator_agent_queue_dropped_events_total", - "ray_aggregator_agent_consecutive_failures_since_last_success", - "ray_aggregator_agent_time_since_last_success_seconds", - "ray_aggregator_agent_publish_latency_seconds_bucket", - "ray_aggregator_agent_publish_latency_seconds_count", - "ray_aggregator_agent_publish_latency_seconds_sum", + "ray_event_aggregator_agent_events_received_total", + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total", + "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total", + "ray_event_aggregator_agent_events_published_total", + "ray_event_aggregator_agent_events_filtered_out_total", ] return all(metric in metrics_names for metric in event_aggregator_metrics) @@ -535,7 +525,11 @@ def test_case_value_correct(): fetch_prometheus_timeseries(prom_addresses, timeseries) metric_samples = timeseries.metric_samples.values() expected_metrics_values = { - "ray_aggregator_agent_events_received_total": 3.0, + "ray_event_aggregator_agent_events_received_total": 3.0, + "ray_event_aggregator_agent_events_failed_to_add_to_aggregator_total": 0.0, + "ray_event_aggregator_agent_events_dropped_at_event_aggregator_total": 1.0, + "ray_event_aggregator_agent_events_published_total": 1.0, + "ray_event_aggregator_agent_events_filtered_out_total": 1.0, } for descriptor, expected_value in expected_metrics_values.items(): samples = [m for m in metric_samples if m.name == descriptor] @@ -545,24 +539,7 @@ def test_case_value_correct(): return False return True - def test_case_publisher_specific_metrics_correct(publisher_name: str): - fetch_prometheus_timeseries(prom_addresses, timeseries) - metric_samples = timeseries.metric_samples.values() - expected_metrics_values = { - "ray_aggregator_agent_published_events_total": 1.0, - "ray_aggregator_agent_filtered_events_total": 1.0, - "ray_aggregator_agent_queue_dropped_events_total": 1.0, - } - for descriptor, expected_value in expected_metrics_values.items(): - samples = [m for m in metric_samples if m.name == descriptor] - if not samples: - return False - if ( - samples[0].value != expected_value - or samples[0].labels[CONSUMER_TAG_KEY] != publisher_name - ): - return False - return True + wait_for_condition(test_case_stats_exist, timeout=30, retry_interval_ms=1000) now = time.time_ns() seconds, nanos = divmod(now, 10**9) @@ -609,16 +586,8 @@ def test_case_publisher_specific_metrics_correct(publisher_name: str): stub.AddEvents(request) wait_for_condition(lambda: len(httpserver.log) == 1) - wait_for_condition(test_case_stats_exist, timeout=30, retry_interval_ms=1000) - wait_for_condition(test_case_value_correct, timeout=30, retry_interval_ms=1000) - wait_for_condition( - lambda: test_case_publisher_specific_metrics_correct("http_publisher"), - timeout=30, - retry_interval_ms=1000, - ) - def test_operation_stats(monkeypatch, shutdown_only): # Test operation stats are available when flag is on. From 78aa5eacf202c59429b1fa11287ba69275f77e83 Mon Sep 17 00:00:00 2001 From: jpatra72 Date: Wed, 1 Oct 2025 03:52:54 +0200 Subject: [PATCH 1472/1566] [Ray Data | Docs] Error in ray.data.groupby example in docs (#57036) ## Why are these changes needed? `group.drop` used in `normalize_variety` requires the `columns` arg specified since by default the drop axis is 0 in pandas ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Corrects the groupby example to use group.drop(columns=["variety"]) for pandas compatibility. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 175837fce9c63c3c66c4d7ac13b8068aa00d5365. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: jpatra72 Signed-off-by: Douglas Strodtman --- python/ray/data/dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index d850203b7176..7f00641f67bb 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -2705,7 +2705,7 @@ def groupby( import ray def normalize_variety(group: pd.DataFrame) -> pd.DataFrame: - for feature in group.drop("variety").columns: + for feature in group.drop(columns=["variety"]).columns: group[feature] = group[feature] / group[feature].abs().max() return group From b00f09479da363fbef20bec3aa35da1906a3b429 Mon Sep 17 00:00:00 2001 From: Sagar Sumit Date: Wed, 1 Oct 2025 08:04:26 +0530 Subject: [PATCH 1473/1566] [core] Add per worker process group and deprecate process subreaper in favor of cleanup using process group (#56476) Add per worker process group and deprecate process subreaper in favor of cleanup using process group Closes https://github.com/ray-project/ray/issues/54364 --------- Signed-off-by: Sagar Sumit Co-authored-by: Edward Oakes Signed-off-by: Douglas Strodtman --- doc/source/ray-core/user-spawn-processes.rst | 12 +- python/ray/tests/test_kill_subprocesses.py | 80 ++++++++++++- src/ray/common/ray_config_def.h | 5 + src/ray/core_worker/core_worker_process.cc | 8 +- src/ray/raylet/main.cc | 37 ++++-- src/ray/raylet/node_manager.cc | 83 +++++++++++++ src/ray/raylet/tests/util.h | 2 + src/ray/raylet/worker.cc | 4 + src/ray/raylet/worker.h | 116 +++++++++++-------- src/ray/raylet/worker_pool.cc | 27 ++++- src/ray/util/process.cc | 81 +++++++++++-- src/ray/util/process.h | 10 +- src/ray/util/tests/BUILD.bazel | 13 +++ src/ray/util/tests/process_spawn_pg_test.cc | 101 ++++++++++++++++ 14 files changed, 498 insertions(+), 81 deletions(-) create mode 100644 src/ray/util/tests/process_spawn_pg_test.cc diff --git a/doc/source/ray-core/user-spawn-processes.rst b/doc/source/ray-core/user-spawn-processes.rst index af9dd7b0d072..952b14945723 100644 --- a/doc/source/ray-core/user-spawn-processes.rst +++ b/doc/source/ray-core/user-spawn-processes.rst @@ -5,13 +5,15 @@ When you spawn child processes from Ray workers, you are responsible for managin To avoid leaking user-spawned processes, Ray provides mechanisms to kill all user-spawned processes when a worker that starts it exits. This feature prevents GPU memory leaks from child processes (e.g., torch). -We have 2 environment variables to handle subprocess killing on worker exit: +Ray provides following mechanisms to handle subprocess killing on worker exit: - ``RAY_kill_child_processes_on_worker_exit`` (default ``true``): Only works on Linux. If true, the worker kills all *direct* child processes on exit. This won't work if the worker crashed. This is NOT recursive, in that grandchild processes are not killed by this mechanism. - ``RAY_kill_child_processes_on_worker_exit_with_raylet_subreaper`` (default ``false``): Only works on Linux greater than or equal to 3.4. If true, Raylet *recursively* kills any child processes and grandchild processes that were spawned by the worker after the worker exits. This works even if the worker crashed. The killing happens within 10 seconds after the worker death. -On non-Linux platforms, user-spawned process is not controlled by Ray. The user is responsible for managing the lifetime of the child processes. If the parent Ray worker process dies, the child processes will continue to run. +- ``RAY_process_group_cleanup_enabled`` (default ``false``): If true (POSIX), Ray isolates each worker into its own process group at spawn and cleans up the worker’s process group on worker exit via `killpg`. Processes that intentionally call `setsid()` will detach and not be killed by this cleanup. + +On non-Linux platforms, subreaper is not available. Per‑worker process groups are supported on POSIX platforms; on Windows, neither subreaper nor PGs apply. Users should manage child processes explicitly on platforms without support. Note: The feature is meant to be a last resort to kill orphaned processes. It is not a replacement for proper process management. Users should still manage the lifetime of their processes and clean up properly. @@ -60,7 +62,7 @@ The following example uses a Ray Actor to spawn a user process. The user process Enabling the feature ------------------------- -To enable the subreaper feature, set the environment variable ``RAY_kill_child_processes_on_worker_exit_with_raylet_subreaper`` to ``true`` **when starting the Ray cluster**, If a Ray cluster is already running, you need to restart the Ray cluster to apply the change. Setting ``env_var`` in a runtime environment will NOT work. +To enable the subreaper feature (deprecated), set via `_system_config` or equivalent cluster configuration at start. You must restart the cluster to apply the change. Prefer enabling `process_group_cleanup_enabled` instead. .. code-block:: bash @@ -76,7 +78,7 @@ Another way is to enable it during ``ray.init()`` by adding a ``_system_config`` ⚠️ Caution: Core worker now reaps zombies, toggle back if you wait to ``waitpid`` ---------------------------------------------------------------------------------- -When the feature is enabled, the worker process becomes a subreaper (see the next section), meaning there can be some grandchildren processes that are reparented to the worker process. To reap these processes, the worker sets the ``SIGCHLD`` signal to ``SIG_IGN``. This makes the worker not receive the ``SIGCHLD`` signal when its children exit. If you need to wait for a child process to exit, you need to reset the ``SIGCHLD`` signal to ``SIG_DFL``. +When subreaper is enabled, the worker process also becomes a subreaper (Linux), meaning some grandchildren processes can be reparented to the worker process. The worker sets ``SIGCHLD`` to ``SIG_IGN``. If you need to wait for a child process to exit, reset ``SIGCHLD`` to ``SIG_DFL`` first. .. code-block:: @@ -87,7 +89,7 @@ When the feature is enabled, the worker process becomes a subreaper (see the nex Under the hood ------------------------- -This feature is implemented by setting the `prctl(PR_SET_CHILD_SUBREAPER, 1)` flag on the Raylet process which spawns all Ray workers. See `prctl(2) `_. This flag makes the Raylet process a "subreaper" which means that if a descendant child process dies, the dead child's children processes reparent to the Raylet process. +This feature is implemented by setting the `prctl(PR_SET_CHILD_SUBREAPER, 1)` flag on the Raylet process which spawns all Ray workers. See `prctl(2) `_. This flag makes the Raylet process a "subreaper" which means that if a descendant child process dies, the dead child's children processes reparent to the Raylet process. Subreaper is deprecated in favor of per‑worker process groups. Raylet maintains a list of "known" direct children pid it spawns, and when the Raylet process receives the SIGCHLD signal, it knows that one of its child processes (e.g. the workers) has died, and maybe there are reparented orphan processes. Raylet lists all children pids (with ppid = raylet pid), and if a child pid is not "known" (i.e. not in the list of direct children pids), Raylet thinks it is an orphan process and kills it via `SIGKILL`. diff --git a/python/ray/tests/test_kill_subprocesses.py b/python/ray/tests/test_kill_subprocesses.py index e83db14f4780..c7c8112fe646 100644 --- a/python/ray/tests/test_kill_subprocesses.py +++ b/python/ray/tests/test_kill_subprocesses.py @@ -1,5 +1,4 @@ import logging -import multiprocessing import os import subprocess import sys @@ -22,6 +21,13 @@ def enable_subreaper(): del os.environ["RAY_kill_child_processes_on_worker_exit_with_raylet_subreaper"] +@pytest.fixture +def enable_pg_cleanup(): + os.environ["RAY_process_group_cleanup_enabled"] = "true" + yield + del os.environ["RAY_process_group_cleanup_enabled"] + + def sleep_forever(): while True: time.sleep(10000) @@ -42,8 +48,7 @@ def get_process_info(pid): @ray.remote class BedMaker: def make_sleeper(self): - p = multiprocessing.Process(target=sleep_forever) - p.start() + p = subprocess.Popen(["sleep", "1000"]) # inherits PGID return p.pid def spawn_daemon(self): @@ -173,5 +178,74 @@ def manual_reap(self): ray.get(a.manual_reap.remote()) +@pytest.mark.skipif( + sys.platform != "linux", + reason="Orphan process killing only works on Linux.", +) +def test_sigkilled_worker_child_process_cleaned_up(enable_pg_cleanup, shutdown_only): + ray.init() + # SIGKILL the actor; PG cleanup should terminate the background child. + b = BedMaker.remote() + child_pid = ray.get(b.make_sleeper.remote()) + actor_pid = ray.get(b.my_pid.remote()) + + logger.info(get_process_info(child_pid)) # shows the process + psutil.Process(actor_pid).kill() # sigkill + wait_for_condition(lambda: not psutil.pid_exists(child_pid), retry_interval_ms=100) + with pytest.raises(psutil.NoSuchProcess): + logger.info(get_process_info(child_pid)) + + +@pytest.mark.skipif( + sys.platform != "linux", + reason="Orphan process killing only works on Linux.", +) +def test_background_child_survives_while_actor_alive_then_killed_with_pg_cleanup( + enable_pg_cleanup, shutdown_only +): + ray.init() + # Spawn a background child that remains in the same PG as the actor. + b = BedMaker.remote() + child_pid = ray.get(b.make_sleeper.remote()) + actor_pid = ray.get(b.my_pid.remote()) + + # The background child remains alive while the actor is alive. + time.sleep(1) + assert psutil.pid_exists(child_pid) + + # After the actor is killed, PG cleanup should terminate the background child. + psutil.Process(actor_pid).kill() + wait_for_condition(lambda: not psutil.pid_exists(child_pid), retry_interval_ms=100) + with pytest.raises(psutil.NoSuchProcess): + logger.info(get_process_info(child_pid)) + + +@pytest.mark.skipif( + sys.platform != "linux", + reason="Orphan process killing only works on Linux.", +) +def test_detached_setsido_escape_with_pg_cleanup(enable_pg_cleanup, shutdown_only): + ray.init() + + @ray.remote + class A: + def spawn_detached(self): + # Detach into a new session (escape worker PG); sleep long. + return subprocess.Popen( + [sys.executable, "-c", "import os,time; os.setsid(); time.sleep(1000)"] + ).pid + + def pid(self): + return os.getpid() + + a = A.remote() + child_pid = ray.get(a.spawn_detached.remote()) + actor_pid = ray.get(a.pid.remote()) + psutil.Process(actor_pid).kill() + time.sleep(1) + # Detached child should still be alive (escaped PG cleanup). + assert psutil.pid_exists(child_pid) + + if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__])) diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 37ef51094772..30ae285e8048 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -892,6 +892,11 @@ RAY_CONFIG(bool, kill_child_processes_on_worker_exit, true) // See https://github.com/ray-project/ray/pull/42992 for more info. RAY_CONFIG(bool, kill_child_processes_on_worker_exit_with_raylet_subreaper, false) +// Enable per-worker process-group-based cleanup. When enabled, workers are +// placed into their own process groups and can be cleaned up via killpg on +// worker death. Cross-platform semantics on POSIX (no-op on Windows). +RAY_CONFIG(bool, process_group_cleanup_enabled, false) + // If autoscaler v2 is enabled. RAY_CONFIG(bool, enable_autoscaler_v2, false) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 754f57fb914a..170b96f0d8b4 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -150,15 +150,17 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( if (RayConfig::instance().kill_child_processes_on_worker_exit_with_raylet_subreaper()) { #ifdef __linux__ // Not setting sigchld = ignore: user may want to do waitpid on their own. - // If user's bad code causes a zombie process, it will hang their in zombie status + // If user's bad code causes a zombie process, it will hang there in zombie status // until this worker exits and raylet reaps it. if (SetThisProcessAsSubreaper()) { - RAY_LOG(INFO) << "Set this core_worker process as subreaper: " << pid; + RAY_LOG(INFO) << "Set this core_worker process as subreaper: " << pid + << " (deprecated; prefer per-worker process groups)."; SetSigchldIgnore(); } else { RAY_LOG(WARNING) << "Failed to set this core_worker process as subreaper. If Raylet is set as " - "subreaper, user-spawn daemon processes may be killed by raylet."; + "subreaper, user-spawn daemon processes may be killed by raylet. " + "Subreaper is deprecated; prefer per-worker process groups."; } #else RAY_LOG(WARNING) << "Subreaper is not supported on this platform. Raylet will not " diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index cd899c1ddec1..bbba26e97a0d 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -54,6 +54,9 @@ #include "ray/util/subreaper.h" #include "ray/util/time.h" #include "scheduling/cluster_lease_manager.h" +#if !defined(_WIN32) +#include +#endif using json = nlohmann::json; @@ -505,16 +508,36 @@ int main(int argc, char *argv[]) { ray::asio::testing::Init(); ray::rpc::testing::Init(); - // Core worker tries to kill child processes when it exits. But they can't do - // it perfectly: if the core worker is killed by SIGKILL, the child processes - // leak. So in raylet we also kill child processes via Linux subreaper. - // Only works on Linux >= 3.4. - if (RayConfig::instance() - .kill_child_processes_on_worker_exit_with_raylet_subreaper()) { + const bool pg_enabled = RayConfig::instance().process_group_cleanup_enabled(); + const bool subreaper_enabled = + RayConfig::instance().kill_child_processes_on_worker_exit_with_raylet_subreaper(); + if (pg_enabled && subreaper_enabled) { + RAY_LOG(ERROR) + << "Both per-worker process groups and subreaper are enabled. " + << "Per-worker process groups will be used for worker cleanup. " + << "Subreaper is deprecated and will be removed in a future release."; + } + +#if !defined(_WIN32) + RAY_LOG(INFO) << "Per-worker process group cleanup is " + << (pg_enabled ? "ENABLED" : "DISABLED") << ", subreaper is " + << (subreaper_enabled ? "ENABLED" : "DISABLED"); +#else + RAY_LOG(INFO) << "Per-worker process group cleanup is not supported on Windows."; +#endif + + if (subreaper_enabled && !pg_enabled) { + RAY_LOG(WARNING) + << "Subreaper-based orphan cleanup is enabled. " + << "Subreaper is deprecated and will be removed in a future release. " + << "Prefer per-worker process groups."; enable_subreaper(); } else { - RAY_LOG(INFO) << "Raylet is not set to kill unknown children."; +#if !defined(_WIN32) + // Ensure child processes are auto-reaped to avoid zombies even when both + // subreaper and per-worker PG cleanup are disabled. ray::SetSigchldIgnore(); +#endif } // Parse the worker port list. diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index acd4bbea357a..e2fea38e0b8d 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -16,6 +16,7 @@ #include #include +#include #include #include #include @@ -90,6 +91,34 @@ std::vector FlatbufferToObjectIds( return ids; } +#if !defined(_WIN32) +// Send a signal to the worker's saved process group with safety guards and logging. +static void CleanupProcessGroupSend(pid_t saved_pgid, + const WorkerID &wid, + const std::string &ctx, + int sig) { + // Guard against targeting the raylet's own process group if isolation failed. + pid_t raylet_pgid = getpgid(0); + if (raylet_pgid == saved_pgid) { + RAY_LOG(WARNING).WithField(wid) + << ctx + << ": skipping PG cleanup: worker pgid equals raylet pgid (isolation failed): " + << saved_pgid; + return; + } + RAY_LOG(INFO).WithField(wid) << ctx << ": sending " + << (sig == SIGKILL ? "SIGKILL" : "SIGTERM") + << " to pgid=" << saved_pgid; + auto err = KillProcessGroup(saved_pgid, sig); + if (err && *err) { + RAY_LOG(WARNING).WithField(wid) + << ctx << ": failed to send " << (sig == SIGKILL ? "SIGKILL" : "SIGTERM") + << " to process group " << saved_pgid << ": " << err->message() + << ", errno=" << err->value(); + } +} +#endif + } // namespace NodeManager::NodeManager( @@ -1374,6 +1403,41 @@ void NodeManager::DisconnectClient(const std::shared_ptr &clie } } + // Attempt per-worker process-group cleanup before removing the worker. +#if !defined(_WIN32) + const bool pg_enabled = RayConfig::instance().process_group_cleanup_enabled(); + const bool subreaper_enabled = + RayConfig::instance().kill_child_processes_on_worker_exit_with_raylet_subreaper(); + if (pg_enabled && subreaper_enabled) { + RAY_LOG_EVERY_MS(WARNING, 60000) + << "Both per-worker process groups and subreaper are enabled; " + << "using PGs for worker cleanup. " + << "Subreaper is deprecated and will be removed in a future release."; + } + if (pg_enabled) { + auto saved = worker->GetSavedProcessGroupId(); + if (saved.has_value()) { + // Send SIGTERM first, then schedule a short async escalation to SIGKILL. + CleanupProcessGroupSend(*saved, worker->WorkerId(), "DisconnectClient", SIGTERM); + auto timer = std::make_shared( + io_service_, boost::posix_time::milliseconds(200)); + auto wid = worker->WorkerId(); + auto pgid = *saved; + timer->async_wait( + [timer, wid, pgid](const boost::system::error_code &ec) mutable { + if (!ec) { + // Probe with signal 0; if group plausibly exists, send SIGKILL. + auto probe = KillProcessGroup(pgid, 0); + const bool group_absent = (probe && probe->value() == ESRCH); + if (!group_absent) { + CleanupProcessGroupSend(pgid, wid, "DisconnectClient", SIGKILL); + } + } + }); + } + } +#endif + // Remove the dead client from the pool and stop listening for messages. worker_pool_.DisconnectWorker(worker, disconnect_type); @@ -2726,6 +2790,25 @@ void NodeManager::TriggerGlobalGC() { void NodeManager::Stop() { // This never fails. RAY_CHECK_OK(store_client_.Disconnect()); +#if !defined(_WIN32) + // Best-effort process-group cleanup for any remaining workers before shutdown. + if (RayConfig::instance().process_group_cleanup_enabled()) { + auto workers = worker_pool_.GetAllRegisteredWorkers(/* filter_dead_worker */ true, + /* filter_io_workers */ false); + for (const auto &w : workers) { + auto saved = w->GetSavedProcessGroupId(); + if (saved.has_value()) { + // During shutdown, escalate immediately to avoid relying on timers. + CleanupProcessGroupSend(*saved, w->WorkerId(), "Stop", SIGTERM); + auto probe = KillProcessGroup(*saved, 0); + const bool group_absent = (probe && probe->value() == ESRCH); + if (!group_absent) { + CleanupProcessGroupSend(*saved, w->WorkerId(), "Stop", SIGKILL); + } + } + } + } +#endif object_manager_.Stop(); dashboard_agent_manager_.reset(); runtime_env_agent_manager_.reset(); diff --git a/src/ray/raylet/tests/util.h b/src/ray/raylet/tests/util.h index 9c904b43e37a..ee4a88d831ea 100644 --- a/src/ray/raylet/tests/util.h +++ b/src/ray/raylet/tests/util.h @@ -136,6 +136,8 @@ class MockWorker : public WorkerInterface { const std::shared_ptr Connection() const override { return nullptr; } const rpc::Address &GetOwnerAddress() const override { return address_; } + std::optional GetSavedProcessGroupId() const override { return std::nullopt; } + void SetSavedProcessGroupId(pid_t pgid) override { (void)pgid; } void ActorCallArgWaitComplete(int64_t tag) override { RAY_CHECK(false) << "Method unused"; diff --git a/src/ray/raylet/worker.cc b/src/ray/raylet/worker.cc index ff24257803a8..9e6e32c14aa8 100644 --- a/src/ray/raylet/worker.cc +++ b/src/ray/raylet/worker.cc @@ -174,6 +174,10 @@ void Worker::Connect(std::shared_ptr rpc_client) } } +std::optional Worker::GetSavedProcessGroupId() const { return saved_pgid_; } + +void Worker::SetSavedProcessGroupId(pid_t pgid) { saved_pgid_ = pgid; } + void Worker::GrantLeaseId(const LeaseID &lease_id) { lease_id_ = lease_id; if (!lease_id.IsNil()) { diff --git a/src/ray/raylet/worker.h b/src/ray/raylet/worker.h index e2eb754bf4b1..63563444c269 100644 --- a/src/ray/raylet/worker.h +++ b/src/ray/raylet/worker.h @@ -79,6 +79,10 @@ class WorkerInterface { virtual const std::shared_ptr Connection() const = 0; virtual void SetOwnerAddress(const rpc::Address &address) = 0; virtual const rpc::Address &GetOwnerAddress() const = 0; + /// Optional saved process group id (PGID) for this worker's process group. + /// Set at registration time from getpgid(pid) and used for safe cleanup. + virtual std::optional GetSavedProcessGroupId() const = 0; + virtual void SetSavedProcessGroupId(pid_t pgid) = 0; virtual void ActorCallArgWaitComplete(int64_t tag) = 0; @@ -150,83 +154,90 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa rpc::ClientCallManager &client_call_manager, StartupToken startup_token); - rpc::WorkerType GetWorkerType() const; - void MarkDead(); - bool IsDead() const; + rpc::WorkerType GetWorkerType() const override; + void MarkDead() override; + bool IsDead() const override; /// Kill the worker process. This is idempotent. /// \param io_service for scheduling the graceful period timer. /// \param force true to kill immediately, false to give time for the worker to clean up /// and exit gracefully. - void KillAsync(instrumented_io_context &io_service, bool force = false); - void MarkBlocked(); - void MarkUnblocked(); - bool IsBlocked() const; + void KillAsync(instrumented_io_context &io_service, bool force = false) override; + void MarkBlocked() override; + void MarkUnblocked() override; + bool IsBlocked() const override; /// Return the worker's ID. - WorkerID WorkerId() const; + WorkerID WorkerId() const override; /// Return the worker process. - Process GetProcess() const; + Process GetProcess() const override; /// Return the worker process's startup token - StartupToken GetStartupToken() const; - void SetProcess(Process proc); - rpc::Language GetLanguage() const; - const std::string IpAddress() const; - void AsyncNotifyGCSRestart(); + StartupToken GetStartupToken() const override; + void SetProcess(Process proc) override; + rpc::Language GetLanguage() const override; + const std::string IpAddress() const override; + void AsyncNotifyGCSRestart() override; /// Connect this worker's gRPC client. - void Connect(int port); + void Connect(int port) override; /// Testing-only - void Connect(std::shared_ptr rpc_client); - int Port() const; - int AssignedPort() const; - void SetAssignedPort(int port); - void GrantLeaseId(const LeaseID &lease_id); - const LeaseID &GetGrantedLeaseId() const; - const JobID &GetAssignedJobId() const; - const RayLease &GetGrantedLease() const; - std::optional GetIsGpu() const; - std::optional GetIsActorWorker() const; - int GetRuntimeEnvHash() const; - void AssignActorId(const ActorID &actor_id); - const ActorID &GetActorId() const; + void Connect(std::shared_ptr rpc_client) override; + int Port() const override; + int AssignedPort() const override; + void SetAssignedPort(int port) override; + void GrantLeaseId(const LeaseID &lease_id) override; + const LeaseID &GetGrantedLeaseId() const override; + const JobID &GetAssignedJobId() const override; + const RayLease &GetGrantedLease() const override; + std::optional GetIsGpu() const override; + std::optional GetIsActorWorker() const override; + int GetRuntimeEnvHash() const override; + void AssignActorId(const ActorID &actor_id) override; + const ActorID &GetActorId() const override; // Creates the debug string for the ID of the lease and the actor ID if it exists. - const std::string GetLeaseIdAsDebugString() const; - bool IsDetachedActor() const; - const std::shared_ptr Connection() const; - void SetOwnerAddress(const rpc::Address &address); - const rpc::Address &GetOwnerAddress() const; + const std::string GetLeaseIdAsDebugString() const override; + bool IsDetachedActor() const override; + const std::shared_ptr Connection() const override; + void SetOwnerAddress(const rpc::Address &address) override; + const rpc::Address &GetOwnerAddress() const override; - void ActorCallArgWaitComplete(int64_t tag); + std::optional GetSavedProcessGroupId() const override; + void SetSavedProcessGroupId(pid_t pgid) override; - const BundleID &GetBundleId() const; - void SetBundleId(const BundleID &bundle_id); + void ActorCallArgWaitComplete(int64_t tag) override; + + const BundleID &GetBundleId() const override; + void SetBundleId(const BundleID &bundle_id) override; // Setter, geter, and clear methods for allocated_instances_. void SetAllocatedInstances( - const std::shared_ptr &allocated_instances) { + const std::shared_ptr &allocated_instances) override { allocated_instances_ = allocated_instances; }; - std::shared_ptr GetAllocatedInstances() { + std::shared_ptr GetAllocatedInstances() override { return allocated_instances_; }; - void ClearAllocatedInstances() { allocated_instances_ = nullptr; }; + void ClearAllocatedInstances() override { allocated_instances_ = nullptr; }; void SetLifetimeAllocatedInstances( - const std::shared_ptr &allocated_instances) { + const std::shared_ptr &allocated_instances) override { lifetime_allocated_instances_ = allocated_instances; }; - const ActorID &GetRootDetachedActorId() const { return root_detached_actor_id_; } + const ActorID &GetRootDetachedActorId() const override { + return root_detached_actor_id_; + } - std::shared_ptr GetLifetimeAllocatedInstances() { + std::shared_ptr GetLifetimeAllocatedInstances() override { return lifetime_allocated_instances_; }; - void ClearLifetimeAllocatedInstances() { lifetime_allocated_instances_ = nullptr; }; + void ClearLifetimeAllocatedInstances() override { + lifetime_allocated_instances_ = nullptr; + }; - RayLease &GetGrantedLease() { return granted_lease_; }; + RayLease &GetGrantedLease() override { return granted_lease_; }; - void GrantLease(const RayLease &granted_lease) { + void GrantLease(const RayLease &granted_lease) override { const auto &lease_spec = granted_lease.GetLeaseSpecification(); SetJobId(lease_spec.JobId()); SetBundleId(lease_spec.PlacementGroupBundleId()); @@ -238,11 +249,11 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa root_detached_actor_id_ = granted_lease.GetLeaseSpecification().RootDetachedActorId(); } - absl::Time GetGrantedLeaseTime() const { return lease_grant_time_; }; + absl::Time GetGrantedLeaseTime() const override { return lease_grant_time_; }; - bool IsRegistered() { return rpc_client_ != nullptr; } + bool IsRegistered() override { return rpc_client_ != nullptr; } - bool IsAvailableForScheduling() const { + bool IsAvailableForScheduling() const override { return !IsDead() // Not dead && !GetGrantedLeaseId() .IsNil() // Has assigned lease. This is intentionally incorrect since @@ -251,16 +262,16 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa && GetActorId().IsNil(); // No assigned actor } - rpc::CoreWorkerClientInterface *rpc_client() { + rpc::CoreWorkerClientInterface *rpc_client() override { RAY_CHECK(IsRegistered()); return rpc_client_.get(); } - void SetJobId(const JobID &job_id); + void SetJobId(const JobID &job_id) override; void SetIsGpu(bool is_gpu); void SetIsActorWorker(bool is_actor_worker); protected: - void SetStartupToken(StartupToken startup_token); + void SetStartupToken(StartupToken startup_token) override; private: /// The worker's ID. @@ -331,6 +342,9 @@ class Worker : public std::enable_shared_from_this, public WorkerInterfa std::optional is_actor_worker_ = std::nullopt; /// If true, a RPC need to be sent to notify the worker about GCS restarting. bool notify_gcs_restarted_ = false; + /// Saved process group id captured at registration time. Used for process-group + /// cleanup validation at disconnect/stop. + std::optional saved_pgid_ = std::nullopt; }; } // namespace raylet diff --git a/src/ray/raylet/worker_pool.cc b/src/ray/raylet/worker_pool.cc index a0322c6e4a15..65bcdb774fc6 100644 --- a/src/ray/raylet/worker_pool.cc +++ b/src/ray/raylet/worker_pool.cc @@ -668,8 +668,17 @@ Process WorkerPool::StartProcess(const std::vector &worker_command_ RAY_LOG(DEBUG) << debug_info; } - Process child( - argv.data(), io_service_, ec, /*decouple=*/false, env, false, add_to_cgroup_hook_); + // Workers should be placed into their own process groups (if enabled) to enable + // per-worker cleanup via killpg on worker death. + const bool new_process_group = RayConfig::instance().process_group_cleanup_enabled(); + Process child(argv.data(), + io_service_, + ec, + /*decouple=*/false, + env, + /*pipe_to_stdin=*/false, + add_to_cgroup_hook_, + new_process_group); if (!child.IsValid() || ec) { // errorcode 24: Too many files. This is caused by ulimit. if (ec.value() == 24) { @@ -794,6 +803,20 @@ Status WorkerPool::RegisterWorker(const std::shared_ptr &worker auto process = Process::FromPid(pid); worker->SetProcess(process); +#if !defined(_WIN32) + // Save the worker's actual PGID at registration for safe cleanup later. + // If setpgrp() succeeded in the child, pgid will equal pid; otherwise it will be the + // parent's PGID. We save whatever the OS reports and will validate again at cleanup. + pid_t pgid = -1; + errno = 0; + pgid = getpgid(pid); + if (pgid != -1) { + worker->SetSavedProcessGroupId(pgid); + } else { + RAY_LOG(WARNING) << "getpgid(" << pid + << ") failed at registration: " << strerror(errno); + } +#endif // The port that this worker's gRPC server should listen on. 0 if the worker // should bind on a random port. diff --git a/src/ray/util/process.cc b/src/ray/util/process.cc index a985c8f35c2a..7ca07545f0cc 100644 --- a/src/ray/util/process.cc +++ b/src/ray/util/process.cc @@ -123,7 +123,8 @@ class ProcessFD { bool decouple, const ProcessEnvironment &env, bool pipe_to_stdin, - std::function add_to_cgroup) { + std::function add_to_cgroup, + bool new_process_group) { ec = std::error_code(); intptr_t fd; pid_t pid; @@ -259,6 +260,38 @@ class ProcessFD { _exit(pid2 == -1 ? errno : 0); // Parent of grandchild; must exit } +#if !defined(_WIN32) + // Put this child into a new process group if requested, before exec. + if (new_process_group) { + // setpgrp() is equivalent to setpgid(0,0). + if (setpgrp() == -1) { + // If this fails, the process remains in the parent's process group. + // Parent-side cleanup logic revalidates PGIDs to avoid mis-signaling. + int err = errno; +#if defined(__GLIBC__) + // GNU-specific strerror_r returns char*. + char buf[128]; + char *msg = strerror_r(err, buf, sizeof(buf)); + dprintf(STDERR_FILENO, + "ray: setpgrp() failed in child: errno=%d (%s)\n", + err, + msg ? msg : "unknown error"); +#else + // POSIX strerror_r returns int and fills buffer. + char buf[128]; + if (strerror_r(err, buf, sizeof(buf)) == 0) { + dprintf(STDERR_FILENO, + "ray: setpgrp() failed in child: errno=%d (%s)\n", + err, + buf); + } else { + dprintf(STDERR_FILENO, "ray: setpgrp() failed in child: errno=%d\n", err); + } +#endif + } + } +#endif + // Redirect the read pipe to stdin so that child can track the // parent lifetime. if (parent_lifetime_pipe[0] != -1) { @@ -393,21 +426,32 @@ Process::Process(const char *argv[], bool decouple, const ProcessEnvironment &env, bool pipe_to_stdin, - std::function add_to_cgroup) { + std::function add_to_cgroup, + bool new_process_group) { /// TODO: use io_service with boost asio notify_fork. (void)io_service; #ifdef __linux__ KnownChildrenTracker::instance().AddKnownChild([&, this]() -> pid_t { - ProcessFD procfd = ProcessFD::spawnvpe( - argv, ec, decouple, env, pipe_to_stdin, std::move(add_to_cgroup)); + ProcessFD procfd = ProcessFD::spawnvpe(argv, + ec, + decouple, + env, + pipe_to_stdin, + std::move(add_to_cgroup), + new_process_group); if (!ec) { this->p_ = std::make_shared(std::move(procfd)); } return this->GetId(); }); #else - ProcessFD procfd = ProcessFD::spawnvpe( - argv, ec, decouple, env, pipe_to_stdin, std::move(add_to_cgroup)); + ProcessFD procfd = ProcessFD::spawnvpe(argv, + ec, + decouple, + env, + pipe_to_stdin, + std::move(add_to_cgroup), + new_process_group); if (!ec) { p_ = std::make_shared(std::move(procfd)); } @@ -472,7 +516,8 @@ bool Process::IsValid() const { return GetId() != -1; } std::pair Process::Spawn(const std::vector &args, bool decouple, const std::string &pid_file, - const ProcessEnvironment &env) { + const ProcessEnvironment &env, + bool new_process_group) { std::vector argv; argv.reserve(args.size() + 1); for (size_t i = 0; i != args.size(); ++i) { @@ -480,7 +525,15 @@ std::pair Process::Spawn(const std::vector KillProc(pid_t pid) { #endif } +std::optional KillProcessGroup(pid_t pgid, int sig) { +#if !defined(_WIN32) + std::error_code error; + if (killpg(pgid, sig) != 0) { + error = std::error_code(errno, std::system_category()); + } + return {error}; +#else + return std::nullopt; +#endif +} + #if defined(__linux__) static inline std::vector GetAllProcsWithPpidLinux(pid_t parent_pid) { std::vector child_pids; diff --git a/src/ray/util/process.h b/src/ray/util/process.h index 751710ba37af..8a416deee7f6 100644 --- a/src/ray/util/process.h +++ b/src/ray/util/process.h @@ -107,7 +107,8 @@ class Process { bool decouple = false, const ProcessEnvironment &env = {}, bool pipe_to_stdin = false, - AddProcessToCgroupHook add_to_cgroup_hook = [](const std::string &) {}); + AddProcessToCgroupHook add_to_cgroup_hook = [](const std::string &) {}, + bool new_process_group = false); /// Convenience function to run the given command line and wait for it to finish. static std::error_code Call(const std::vector &args, const ProcessEnvironment &env = {}); @@ -134,7 +135,8 @@ class Process { const std::vector &args, bool decouple, const std::string &pid_file = std::string(), - const ProcessEnvironment &env = {}); + const ProcessEnvironment &env = {}, + bool new_process_group = false); /// Waits for process to terminate. Not supported for unowned processes. /// \return The process's exit code. Returns 0 for a dummy process, -1 for a null one. int Wait() const; @@ -156,6 +158,10 @@ static constexpr char kProcDirectory[] = "/proc"; // Currently only supported on Linux. Returns nullopt for other platforms. std::optional KillProc(pid_t pid); +// Platform-specific kill for an entire process group. Currently only supported on +// POSIX (non-Windows). Returns nullopt for other platforms. +std::optional KillProcessGroup(pid_t pgid, int sig); + // Platform-specific utility to find the process IDs of all processes // that have the specified parent_pid as their parent. // In other words, find all immediate children of the specified process diff --git a/src/ray/util/tests/BUILD.bazel b/src/ray/util/tests/BUILD.bazel index 88854484df15..b06f16782827 100644 --- a/src/ray/util/tests/BUILD.bazel +++ b/src/ray/util/tests/BUILD.bazel @@ -346,6 +346,19 @@ ray_cc_test( ], ) +ray_cc_test( + name = "process_spawn_pg_test", + srcs = ["process_spawn_pg_test.cc"], + tags = [ + "no_windows", + "team:core", + ], + deps = [ + "//src/ray/util:process", + "@com_google_googletest//:gtest_main", + ], +) + ray_cc_test( name = "scoped_dup2_wrapper_test", size = "small", diff --git a/src/ray/util/tests/process_spawn_pg_test.cc b/src/ray/util/tests/process_spawn_pg_test.cc new file mode 100644 index 000000000000..0d649da57007 --- /dev/null +++ b/src/ray/util/tests/process_spawn_pg_test.cc @@ -0,0 +1,101 @@ +// Copyright 2025 The Ray Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include + +#if !defined(_WIN32) + +#include +#include + +#include +#include +#include +#include + +#include "ray/util/process.h" + +namespace ray { + +namespace { + +TEST(ProcessSpawnPGTest, SpawnWithNewProcessGroupRequestedChildBecomesLeader) { + setenv("RAY_process_group_cleanup_enabled", "true", 1); + std::vector args = {"/bin/sleep", "5"}; + auto [proc, ec] = Process::Spawn(args, + /*decouple=*/false, + /*pid_file=*/"", + /*env=*/{}, + /*new_process_group=*/true); + ASSERT_FALSE(ec) << ec.message(); + ASSERT_TRUE(proc.IsValid()); + + pid_t pid = proc.GetId(); + ASSERT_GT(pid, 0); + // Child should be leader of its own process group. +#if defined(__APPLE__) + // In macOS sandboxed runs, allow brief retries for group leadership to settle. + bool ok = false; + for (int i = 0; i < 20; i++) { + pid_t pgid_try = getpgid(pid); + if (pgid_try == pid) { + ok = true; + break; + } + std::this_thread::sleep_for(std::chrono::milliseconds(10)); + } + if (!ok) { + GTEST_SKIP() << "Process group leadership not observed; skipping on macOS sandbox."; + } +#else + // Allow a brief window for the child to call setpgrp() before we assert. + bool ok = false; + for (int i = 0; i < 40; i++) { // ~200ms total + pid_t pgid_try = getpgid(pid); + if (pgid_try == pid) { + ok = true; + break; + } + std::this_thread::sleep_for(std::chrono::milliseconds(5)); + } + ASSERT_TRUE(ok) << "child did not become its own PG leader in time"; +#endif + proc.Kill(); +} + +TEST(ProcessSpawnPGTest, SpawnWithoutNewProcessGroupChildInheritsParentGroup) { + setenv("RAY_process_group_cleanup_enabled", "true", 1); + std::vector args = {"/bin/sleep", "5"}; + auto [proc, ec] = Process::Spawn(args, + /*decouple=*/false, + /*pid_file=*/"", + /*env=*/{}, + /*new_process_group=*/false); + ASSERT_FALSE(ec) << ec.message(); + ASSERT_TRUE(proc.IsValid()); + + pid_t pid = proc.GetId(); + ASSERT_GT(pid, 0); + // Child should inherit our process group + pid_t my_pgid = getpgid(0); + pid_t child_pgid = getpgid(pid); + ASSERT_EQ(child_pgid, my_pgid); + proc.Kill(); +} + +} // namespace + +} // namespace ray + +#endif // !_WIN32 From 21d4c992bbdb373018e82132bd5375d48c8608c5 Mon Sep 17 00:00:00 2001 From: Zac Policzer Date: Tue, 30 Sep 2025 21:45:10 -0700 Subject: [PATCH 1474/1566] [core] Fix autoscaler RAY_CHECK when GcsAutoscalerStateManager is out of sync with NodeManager (#57010) Signed-off-by: zac Signed-off-by: Douglas Strodtman --- src/ray/gcs/gcs_autoscaler_state_manager.cc | 20 +++++++++++--- src/ray/gcs/gcs_server.cc | 2 -- .../gcs_autoscaler_state_manager_test.cc | 26 +++++++++++++++++++ 3 files changed, 43 insertions(+), 5 deletions(-) diff --git a/src/ray/gcs/gcs_autoscaler_state_manager.cc b/src/ray/gcs/gcs_autoscaler_state_manager.cc index 71442aafbbc7..301afc11e958 100644 --- a/src/ray/gcs/gcs_autoscaler_state_manager.cc +++ b/src/ray/gcs/gcs_autoscaler_state_manager.cc @@ -270,6 +270,10 @@ void GcsAutoscalerStateManager::GetClusterResourceConstraints( void GcsAutoscalerStateManager::OnNodeAdd(const rpc::GcsNodeInfo &node) { RAY_CHECK(thread_checker_.IsOnSameThread()); NodeID node_id = NodeID::FromBinary(node.node_id()); + if (node_resource_info_.contains(node_id)) { + // early termination as we already know about this node + return; + } auto node_info = node_resource_info_ .emplace(node_id, std::make_pair(absl::Now(), rpc::ResourcesData())) @@ -343,7 +347,7 @@ void GcsAutoscalerStateManager::GetPendingResourceRequests( void GcsAutoscalerStateManager::GetNodeStates( rpc::autoscaler::ClusterResourceState *state) { RAY_CHECK(thread_checker_.IsOnSameThread()); - auto populate_node_state = [&](const rpc::GcsNodeInfo &gcs_node_info) { + auto populate_node_state = [this, state](const rpc::GcsNodeInfo &gcs_node_info) { auto node_state_proto = state->add_node_states(); node_state_proto->set_node_id(gcs_node_info.node_id()); node_state_proto->set_instance_id(gcs_node_info.instance_id()); @@ -372,8 +376,18 @@ void GcsAutoscalerStateManager::GetNodeStates( auto const node_id = NodeID::FromBinary(node_state_proto->node_id()); // The node is alive. We need to check if the node is idle. - auto const node_resource_iter = node_resource_info_.find(node_id); - + auto node_resource_iter = node_resource_info_.find(node_id); + + if (node_resource_iter == node_resource_info_.end()) { + // TODO:(zac) There exists a possibility that the GcsNodeManager node list is more + // up to date then the resource information within this class. In the future all + // state will get updated transactionally together, but for now, we'll utilize this + // 'escape hatch' option and in place update the state. See + // https://github.com/ray-project/ray/issues/57009 and once resolved we can delete + // this logic + OnNodeAdd(gcs_node_info); + node_resource_iter = node_resource_info_.find(node_id); + } RAY_CHECK(node_resource_iter != node_resource_info_.end()); auto const &node_resource_item = node_resource_iter->second; diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index 6efc51d0f782..6e423763c690 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -391,8 +391,6 @@ void GcsServer::InitGcsResourceManager(const GcsInitData &gcs_init_data) { [this] { for (const auto &alive_node : gcs_node_manager_->GetAllAliveNodes()) { std::shared_ptr raylet_client; - // GetOrConnectionByID will not connect to the raylet is it hasn't been - // connected. if (auto raylet_client_opt = raylet_client_pool_.GetByID(alive_node.first)) { raylet_client = raylet_client_opt; } else { diff --git a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc index a7a6c20d22e3..8b6ed7970218 100644 --- a/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc +++ b/src/ray/gcs/tests/gcs_autoscaler_state_manager_test.cc @@ -115,6 +115,11 @@ class GcsAutoscalerStateManagerTest : public ::testing::Test { gcs_autoscaler_state_manager_->OnNodeAdd(*node); } + void AddNodeToNodeManagerOnly(const std::shared_ptr &node) { + absl::MutexLock lock(&gcs_node_manager_->mutex_); + gcs_node_manager_->alive_nodes_[NodeID::FromBinary(node->node_id())] = node; + } + void RemoveNode(const std::shared_ptr &node) { absl::MutexLock lock(&gcs_node_manager_->mutex_); const auto node_id = NodeID::FromBinary(node->node_id()); @@ -457,6 +462,27 @@ TEST_F(GcsAutoscalerStateManagerTest, TestGetClusterStatusBasic) { } } +TEST_F(GcsAutoscalerStateManagerTest, TestHandleGetClusterStatusWithOutOfOrderNodeAdd) { + auto node = GenNodeInfo(); + node->mutable_resources_total()->insert({"CPU", 2}); + node->set_instance_id("instance_1"); + AddNodeToNodeManagerOnly(node); + + const auto reply = GetClusterStatusSync(); + + // Should have cluster resource state + ASSERT_TRUE(reply.has_cluster_resource_state()); + const auto &state = reply.cluster_resource_state(); + ASSERT_EQ(state.node_states_size(), 1); + + // Should NOT have autoscaling state when none has been reported + ASSERT_FALSE(reply.has_autoscaling_state()); + + // Cluster resource state should still be valid + ASSERT_GT(state.cluster_resource_state_version(), 0); + ASSERT_EQ(state.cluster_session_name(), "fake_cluster"); +} + TEST_F(GcsAutoscalerStateManagerTest, TestNodeDynamicLabelsWithPG) { /// Check if PGs are created on a node, the node status should include /// the PG labels. From 1b1074c61b12616982f97eae17452954f32562e3 Mon Sep 17 00:00:00 2001 From: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Date: Tue, 30 Sep 2025 21:53:14 -0700 Subject: [PATCH 1475/1566] Revert "[core][1ev-debt/02] implement even merge logic at export time" (#57041) Reverts ray-project/ray#56558. The PR caused some of the tests to become flaky (`test_ray_job_event`, `test_ray_node_event`), because the ordering of events in the export stream are now non-deterministic. --- > [!NOTE] > Stops merging buffered events during export (each event sent individually) and removes the merge-behavior test. > > - **Observability**: > - **RayEventRecorder** (`src/ray/observability/ray_event_recorder.cc`): > - Remove grouping/merging of events by entity/type; export each buffered event as-is. > - Add TODO to consider merging by resource ID for performance. > - **Tests** (`src/ray/observability/tests/ray_event_recorder_test.cc`): > - Delete `TestMergeEvents` that validated merge behavior. > - Keep other event recording and drop-handling tests unchanged. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 58dbda76c92cdbd9cf1a5b165c78224a8b3425cd. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: Cuong Nguyen <128072568+can-anyscale@users.noreply.github.com> Co-authored-by: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Signed-off-by: Douglas Strodtman --- src/ray/observability/ray_event_recorder.cc | 18 +++------------ .../tests/ray_event_recorder_test.cc | 23 ------------------- 2 files changed, 3 insertions(+), 38 deletions(-) diff --git a/src/ray/observability/ray_event_recorder.cc b/src/ray/observability/ray_event_recorder.cc index e967d560819f..4c80372c1d7e 100644 --- a/src/ray/observability/ray_event_recorder.cc +++ b/src/ray/observability/ray_event_recorder.cc @@ -52,22 +52,10 @@ void RayEventRecorder::ExportEvents() { } rpc::events::AddEventsRequest request; rpc::events::RayEventsData ray_event_data; - // group the event in the buffer_ by their entity id and type; then for each group, - // merge the events into a single event. - absl::flat_hash_map, - std::vector>> - event_groups; + // TODO(#56391): To further optimize the performance, we can merge multiple + // events with the same resource ID into a single event. for (auto &event : buffer_) { - event_groups[{event->GetEntityId(), event->GetEventType()}].push_back( - std::move(event)); - } - for (auto &[entity_id_type, events] : event_groups) { - // merge the later event in the group into the first event, then add the merged - // event to the request. - for (size_t i = 1; i < events.size(); i++) { - events[0]->Merge(std::move(*events[i])); - } - rpc::events::RayEvent ray_event = std::move(*events[0]).Serialize(); + rpc::events::RayEvent ray_event = std::move(*event).Serialize(); *ray_event_data.mutable_events()->Add() = std::move(ray_event); } *request.mutable_events_data() = std::move(ray_event_data); diff --git a/src/ray/observability/tests/ray_event_recorder_test.cc b/src/ray/observability/tests/ray_event_recorder_test.cc index 119cb7a2db60..84cf9a637204 100644 --- a/src/ray/observability/tests/ray_event_recorder_test.cc +++ b/src/ray/observability/tests/ray_event_recorder_test.cc @@ -79,29 +79,6 @@ class RayEventRecorderTest : public ::testing::Test { size_t max_buffer_size_ = 5; }; -TEST_F(RayEventRecorderTest, TestMergeEvents) { - rpc::JobTableData data; - data.set_job_id("test_job_id"); - - std::vector> events; - events.push_back(std::make_unique( - data, rpc::events::DriverJobLifecycleEvent::CREATED, "test_session_name")); - events.push_back(std::make_unique( - data, rpc::events::DriverJobLifecycleEvent::FINISHED, "test_session_name")); - recorder_->AddEvents(std::move(events)); - io_service_.run_one(); - - std::vector recorded_events = fake_client_->GetRecordedEvents(); - // Only one event should be recorded because the two events are merged into one. - ASSERT_EQ(recorded_events.size(), 1); - ASSERT_EQ(recorded_events[0].source_type(), rpc::events::RayEvent::GCS); - ASSERT_EQ(recorded_events[0].session_name(), "test_session_name"); - auto states = recorded_events[0].driver_job_lifecycle_event().state_transitions(); - ASSERT_EQ(states.size(), 2); - ASSERT_EQ(states[0].state(), rpc::events::DriverJobLifecycleEvent::CREATED); - ASSERT_EQ(states[1].state(), rpc::events::DriverJobLifecycleEvent::FINISHED); -} - TEST_F(RayEventRecorderTest, TestRecordEvents) { rpc::JobTableData data1; data1.set_job_id("test_job_id_1"); From b30074c378057a861d2430dfcac0f4cb44a724a4 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 22:49:05 -0700 Subject: [PATCH 1476/1566] [core] fix typo on java test tag (#57074) it is `custom_setup`, not `extra_setup` Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- python/ray/tests/BUILD.bazel | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tests/BUILD.bazel b/python/ray/tests/BUILD.bazel index 8511227ee3b8..62e508e9e7fe 100644 --- a/python/ray/tests/BUILD.bazel +++ b/python/ray/tests/BUILD.bazel @@ -388,8 +388,8 @@ py_test_module_list( "test_logging_java.py", ], tags = [ + "custom_setup", "exclusive", - "extra_setup", "medium_size_python_tests_k_to_z", "needs_java", "team:core", From 2956f830329d2dbb6007c251cf511b3e6b36649e Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Tue, 30 Sep 2025 22:49:29 -0700 Subject: [PATCH 1477/1566] [ci] do not install java by default any more (#57072) tests that require java needs to explicitly use java or multi-lang build type. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/core.rayci.yml | 3 ++- ci/docker/base.build.Dockerfile | 2 -- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/.buildkite/core.rayci.yml b/.buildkite/core.rayci.yml index 838a46cbf500..a2058b9b6821 100644 --- a/.buildkite/core.rayci.yml +++ b/.buildkite/core.rayci.yml @@ -390,7 +390,8 @@ steps: - if [[ "$${BUILDKITE_CACHE_READONLY:-}" == "true" ]]; then echo "build --remote_upload_local_results=false" >> ~/.bazelrc; fi - - ci/ci.sh build + # cpp worker tests has one that tests cross-language with Java. + - RAY_INSTALL_JAVA=1 ci/ci.sh build - ci/ci.sh test_cpp depends_on: oss-ci-base_build job_env: oss-ci-base_build diff --git a/ci/docker/base.build.Dockerfile b/ci/docker/base.build.Dockerfile index 1db6b112cb56..0e7baff057e0 100644 --- a/ci/docker/base.build.Dockerfile +++ b/ci/docker/base.build.Dockerfile @@ -1,8 +1,6 @@ ARG DOCKER_IMAGE_BASE_TEST=cr.ray.io/rayproject/oss-ci-base_test FROM $DOCKER_IMAGE_BASE_TEST -ENV RAY_INSTALL_JAVA=1 - COPY . . RUN < Date: Tue, 30 Sep 2025 22:57:56 -0700 Subject: [PATCH 1478/1566] [Data] [2/n] - Add predicate expression support for dataset.filter (#56716) ## Why are these changes needed? For dataset.filter() add support for predicate expressions, which is part of Ray Data's expression system and will soon replace the fn and string based expr that gets evaluated as a Pyarrow expression. Follow up: Deprecate the usage of pyarrow's expression system. ## Related issue number ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Adds native predicate-expression filtering to `Dataset.filter` (with string exprs deprecated), executed via Arrow/Pandas block accessors and updated planner/operator pipeline. > > - **API**: > - `Dataset.filter`: add `expr: Union[str, Expr]`; deprecate string expressions with warning; validate mutual exclusivity with `fn`; resource arg handling unchanged. > - **Planner/Operators**: > - Logical `Filter`: accept `predicate_expr` or `fn` (exactly one); remove direct pyarrow expression dependency. > - Physical planning: switch to block-level filter via `BlockMapTransformFn`; UDF path unchanged. > - **Blocks**: > - `ArrowBlockAccessor.filter` and `PandasBlockAccessor.filter`: evaluate `Expr` via `eval_expr` to produce boolean mask, then filter table/dataframe. > - **Expressions**: > - Add native expression parsing (`ExpressionEvaluator.parse_native_expression`) and `_ConvertToNativeExpressionVisitor` to convert string filters to Ray `Expr`. > - **Docs**: > - Repartition note clarification (rows wording). > - **Tests/Build**: > - New `tests/test_filter.py` covering predicate expressions, parity with UDFs, block-format compatibility, and invalid cases; adjust existing tests to new `Filter` signature; add Bazel target `test_filter`. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 633d5e2e34a3075856e66c012ec477efdfb71995. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). --------- Signed-off-by: Goutam V. Signed-off-by: Douglas Strodtman --- python/ray/data/BUILD.bazel | 14 + python/ray/data/_internal/arrow_block.py | 14 + .../logical/operators/map_operator.py | 20 +- python/ray/data/_internal/pandas_block.py | 15 + .../plan_expression/expression_evaluator.py | 171 ++++++++ .../data/_internal/planner/plan_udf_map_op.py | 25 +- python/ray/data/dataset.py | 136 +++++-- .../data/tests/test_execution_optimizer.py | 2 +- python/ray/data/tests/test_filter.py | 377 ++++++++++++++++++ python/ray/data/tests/test_map.py | 113 ------ 10 files changed, 706 insertions(+), 181 deletions(-) create mode 100644 python/ray/data/tests/test_filter.py diff --git a/python/ray/data/BUILD.bazel b/python/ray/data/BUILD.bazel index 449040395952..2e7be31966b3 100644 --- a/python/ray/data/BUILD.bazel +++ b/python/ray/data/BUILD.bazel @@ -701,6 +701,20 @@ py_test( ], ) +py_test( + name = "test_filter", + size = "medium", + srcs = ["tests/test_filter.py"], + tags = [ + "exclusive", + "team:data", + ], + deps = [ + ":conftest", + "//:ray_lib", + ], +) + py_test( name = "test_numpy", size = "medium", diff --git a/python/ray/data/_internal/arrow_block.py b/python/ray/data/_internal/arrow_block.py index 22a872c22fe1..5a64eb1c2bc2 100644 --- a/python/ray/data/_internal/arrow_block.py +++ b/python/ray/data/_internal/arrow_block.py @@ -39,6 +39,7 @@ U, ) from ray.data.context import DEFAULT_TARGET_MAX_BLOCK_SIZE, DataContext +from ray.data.expressions import Expr try: import pyarrow @@ -463,6 +464,19 @@ def iter_rows( for i in range(self.num_rows()): yield self._get_row(i) + def filter(self, predicate_expr: "Expr") -> "pyarrow.Table": + """Filter rows based on a predicate expression.""" + if self._table.num_rows == 0: + return self._table + + from ray.data._expression_evaluator import eval_expr + + # Evaluate the expression to get a boolean mask + mask = eval_expr(predicate_expr, self._table) + + # Use PyArrow's built-in filter method + return self._table.filter(mask) + class ArrowBlockColumnAccessor(BlockColumnAccessor): def __init__(self, col: Union["pyarrow.Array", "pyarrow.ChunkedArray"]): diff --git a/python/ray/data/_internal/logical/operators/map_operator.py b/python/ray/data/_internal/logical/operators/map_operator.py index 1d8ee48ad765..63cf35410237 100644 --- a/python/ray/data/_internal/logical/operators/map_operator.py +++ b/python/ray/data/_internal/logical/operators/map_operator.py @@ -1,7 +1,7 @@ import functools import inspect import logging -from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional +from typing import Any, Callable, Dict, Iterable, List, Optional from ray.data._internal.compute import ComputeStrategy, TaskPoolStrategy from ray.data._internal.logical.interfaces import LogicalOperator @@ -10,10 +10,6 @@ from ray.data.expressions import Expr from ray.data.preprocessor import Preprocessor -if TYPE_CHECKING: - import pyarrow as pa - - logger = logging.getLogger(__name__) @@ -235,20 +231,24 @@ class Filter(AbstractUDFMap): def __init__( self, input_op: LogicalOperator, + predicate_expr: Optional[Expr] = None, fn: Optional[UserDefinedFunction] = None, fn_args: Optional[Iterable[Any]] = None, fn_kwargs: Optional[Dict[str, Any]] = None, fn_constructor_args: Optional[Iterable[Any]] = None, fn_constructor_kwargs: Optional[Dict[str, Any]] = None, - filter_expr: Optional["pa.dataset.Expression"] = None, compute: Optional[ComputeStrategy] = None, ray_remote_args_fn: Optional[Callable[[], Dict[str, Any]]] = None, ray_remote_args: Optional[Dict[str, Any]] = None, ): - # Ensure exactly one of fn or filter_expr is provided - if not ((fn is None) ^ (filter_expr is None)): - raise ValueError("Exactly one of 'fn' or 'filter_expr' must be provided") - self._filter_expr = filter_expr + # Ensure exactly one of fn, or predicate_expr is provided + provided_params = sum([fn is not None, predicate_expr is not None]) + if provided_params != 1: + raise ValueError( + f"Exactly one of 'fn', or 'predicate_expr' must be provided (received fn={fn}, predicate_expr={predicate_expr})" + ) + + self._predicate_expr = predicate_expr super().__init__( "Filter", diff --git a/python/ray/data/_internal/pandas_block.py b/python/ray/data/_internal/pandas_block.py index 683bd70055cc..92ad48ea50b1 100644 --- a/python/ray/data/_internal/pandas_block.py +++ b/python/ray/data/_internal/pandas_block.py @@ -34,6 +34,7 @@ U, ) from ray.data.context import DataContext +from ray.data.expressions import Expr if TYPE_CHECKING: import pandas @@ -619,3 +620,17 @@ def iter_rows( yield row.as_pydict() else: yield row + + def filter(self, predicate_expr: "Expr") -> "pandas.DataFrame": + """Filter rows based on a predicate expression.""" + if self._table.empty: + return self._table + + # TODO: Move _expression_evaluator to _internal + from ray.data._expression_evaluator import eval_expr + + # Evaluate the expression to get a boolean mask + mask = eval_expr(predicate_expr, self._table) + + # Use pandas boolean indexing + return self._table[mask] diff --git a/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py b/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py index 938c2a2d21fc..df2a1c066c3c 100644 --- a/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py +++ b/python/ray/data/_internal/planner/plan_expression/expression_evaluator.py @@ -5,6 +5,8 @@ import pyarrow.compute as pc import pyarrow.dataset as ds +from ray.data.expressions import ColumnExpr, Expr + logger = logging.getLogger(__name__) @@ -36,8 +38,29 @@ def get_filters(expression: str) -> ds.Expression: logger.exception(f"Error processing expression: {e}") raise + @staticmethod + def parse_native_expression(expression: str) -> "Expr": + """Parse and evaluate the expression to generate a Ray Data expression. + + Args: + expression: A string representing the filter expression to parse. + + Returns: + A Ray Data Expr object for filtering data. + + """ + try: + tree = ast.parse(expression, mode="eval") + return _ConvertToNativeExpressionVisitor().visit(tree.body) + except SyntaxError as e: + raise ValueError(f"Invalid syntax in the expression: {expression}") from e + except Exception as e: + logger.exception(f"Error processing expression: {e}") + raise + class _ConvertToArrowExpressionVisitor(ast.NodeVisitor): + # TODO: Deprecate this visitor after we remove string support in filter API. def visit_Compare(self, node: ast.Compare) -> ds.Expression: """Handle comparison operations (e.g., a == b, a < b, a in b). @@ -234,3 +257,151 @@ def visit_Call(self, node: ast.Call) -> ds.Expression: return function_map[func_name](*args) else: raise ValueError(f"Unsupported function: {func_name}") + + +class _ConvertToNativeExpressionVisitor(ast.NodeVisitor): + """AST visitor that converts string expressions to Ray Data expressions.""" + + def visit_Compare(self, node: ast.Compare) -> "Expr": + """Handle comparison operations (e.g., a == b, a < b, a in b).""" + from ray.data.expressions import BinaryExpr, Operation + + if len(node.ops) != 1 or len(node.comparators) != 1: + raise ValueError("Only simple binary comparisons are supported") + + left = self.visit(node.left) + right = self.visit(node.comparators[0]) + op = node.ops[0] + + # Map AST comparison operators to Ray Data operations + op_map = { + ast.Eq: Operation.EQ, + ast.NotEq: Operation.NE, + ast.Lt: Operation.LT, + ast.LtE: Operation.LE, + ast.Gt: Operation.GT, + ast.GtE: Operation.GE, + ast.In: Operation.IN, + ast.NotIn: Operation.NOT_IN, + } + + if type(op) not in op_map: + raise ValueError(f"Unsupported comparison operator: {type(op).__name__}") + + return BinaryExpr(op_map[type(op)], left, right) + + def visit_BoolOp(self, node: ast.BoolOp) -> "Expr": + """Handle logical operations (e.g., a and b, a or b).""" + from ray.data.expressions import BinaryExpr, Operation + + conditions = [self.visit(value) for value in node.values] + combined_expr = conditions[0] + + for condition in conditions[1:]: + if isinstance(node.op, ast.And): + combined_expr = BinaryExpr(Operation.AND, combined_expr, condition) + elif isinstance(node.op, ast.Or): + combined_expr = BinaryExpr(Operation.OR, combined_expr, condition) + else: + raise ValueError( + f"Unsupported logical operator: {type(node.op).__name__}" + ) + + return combined_expr + + def visit_UnaryOp(self, node: ast.UnaryOp) -> "Expr": + """Handle unary operations (e.g., not a, -5).""" + from ray.data.expressions import Operation, UnaryExpr, lit + + if isinstance(node.op, ast.Not): + operand = self.visit(node.operand) + return UnaryExpr(Operation.NOT, operand) + elif isinstance(node.op, ast.USub): + operand = self.visit(node.operand) + return operand * lit(-1) + else: + raise ValueError(f"Unsupported unary operator: {type(node.op).__name__}") + + def visit_Name(self, node: ast.Name) -> "Expr": + """Handle variable names (column references).""" + from ray.data.expressions import col + + return col(node.id) + + def visit_Constant(self, node: ast.Constant) -> "Expr": + """Handle constant values (numbers, strings, booleans).""" + from ray.data.expressions import lit + + return lit(node.value) + + def visit_List(self, node: ast.List) -> "Expr": + """Handle list literals.""" + from ray.data.expressions import LiteralExpr, lit + + # Visit all elements first + visited_elements = [self.visit(elt) for elt in node.elts] + + # Try to extract constant values for literal list + elements = [] + for elem in visited_elements: + if isinstance(elem, LiteralExpr): + elements.append(elem.value) + else: + # For compatibility with Arrow visitor, we need to support non-literals + # but Ray Data expressions may have limitations here + raise ValueError( + "List contains non-constant expressions. Ray Data expressions " + "currently only support lists of constant values." + ) + + return lit(elements) + + def visit_Attribute(self, node: ast.Attribute) -> "Expr": + """Handle attribute access (e.g., for nested column names).""" + from ray.data.expressions import col + + # For nested column names like "user.age", combine them with dots + if isinstance(node.value, ast.Name): + return col(f"{node.value.id}.{node.attr}") + elif isinstance(node.value, ast.Attribute): + # Recursively handle nested attributes + left_expr = self.visit(node.value) + if isinstance(left_expr, ColumnExpr): + return col(f"{left_expr._name}.{node.attr}") + + raise ValueError( + f"Unsupported attribute access: {node.attr}. Node details: {ast.dump(node)}" + ) + + def visit_Call(self, node: ast.Call) -> "Expr": + """Handle function calls for operations like is_null, is_not_null, is_nan.""" + from ray.data.expressions import BinaryExpr, Operation, UnaryExpr + + func_name = node.func.id if isinstance(node.func, ast.Name) else str(node.func) + + if func_name == "is_null": + if len(node.args) != 1: + raise ValueError("is_null() expects exactly one argument") + operand = self.visit(node.args[0]) + return UnaryExpr(Operation.IS_NULL, operand) + # Adding this conditional to keep it consistent with the current implementation, + # of carrying Pyarrow's semantic of `is_valid` + elif func_name == "is_valid" or func_name == "is_not_null": + if len(node.args) != 1: + raise ValueError(f"{func_name}() expects exactly one argument") + operand = self.visit(node.args[0]) + return UnaryExpr(Operation.IS_NOT_NULL, operand) + elif func_name == "is_nan": + if len(node.args) != 1: + raise ValueError("is_nan() expects exactly one argument") + operand = self.visit(node.args[0]) + # Use x != x pattern for NaN detection (NaN != NaN is True) + return BinaryExpr(Operation.NE, operand, operand) + elif func_name == "is_in": + if len(node.args) != 2: + raise ValueError("is_in() expects exactly two arguments") + left = self.visit(node.args[0]) + right = self.visit(node.args[1]) + return BinaryExpr(Operation.IN, left, right) + else: + raise ValueError(f"Unsupported function: {func_name}") diff --git a/python/ray/data/_internal/planner/plan_udf_map_op.py b/python/ray/data/_internal/planner/plan_udf_map_op.py index ccf7b713490d..0578881620ca 100644 --- a/python/ray/data/_internal/planner/plan_udf_map_op.py +++ b/python/ray/data/_internal/planner/plan_udf_map_op.py @@ -51,7 +51,6 @@ from ray.data._internal.output_buffer import OutputBlockSizeOption from ray.data._internal.util import _truncated_repr from ray.data.block import ( - BatchFormat, Block, BlockAccessor, CallableClass, @@ -218,26 +217,24 @@ def plan_filter_op( target_max_block_size=data_context.target_max_block_size, ) - expression = op._filter_expr + predicate_expr = op._predicate_expr compute = get_compute(op._compute) - if expression is not None: + if predicate_expr is not None: - def filter_batch_fn(block: "pa.Table") -> "pa.Table": - try: - return block.filter(expression) - except Exception as e: - _try_wrap_udf_exception(e) + def filter_block_fn( + blocks: Iterable[Block], ctx: TaskContext + ) -> Iterable[Block]: + for block in blocks: + block_accessor = BlockAccessor.for_block(block) + filtered_block = block_accessor.filter(predicate_expr) + yield filtered_block init_fn = None - transform_fn = BatchMapTransformFn( - _generate_transform_fn_for_map_batches(filter_batch_fn), - batch_size=None, - batch_format=BatchFormat.ARROW, - zero_copy_batch=True, + transform_fn = BlockMapTransformFn( + filter_block_fn, is_udf=True, output_block_size_option=output_block_size_option, ) - else: udf_is_callable_class = isinstance(op._fn, CallableClass) filter_fn, init_fn = _get_udf( diff --git a/python/ray/data/dataset.py b/python/ray/data/dataset.py index 7f00641f67bb..8f361e4aa76e 100644 --- a/python/ray/data/dataset.py +++ b/python/ray/data/dataset.py @@ -1391,7 +1391,7 @@ def duplicate_row(row: Dict[str, Any]) -> List[Dict[str, Any]]: def filter( self, fn: Optional[UserDefinedFunction[Dict[str, Any], bool]] = None, - expr: Optional[str] = None, + expr: Optional[Union[str, Expr]] = None, *, compute: Union[str, ComputeStrategy] = None, fn_args: Optional[Iterable[Any]] = None, @@ -1407,30 +1407,40 @@ def filter( ) -> "Dataset": """Filter out rows that don't satisfy the given predicate. - You can use either a function or a callable class or an expression string to + You can use either a function or a callable class or an expression to perform the transformation. For functions, Ray Data uses stateless Ray tasks. For classes, Ray Data uses stateful Ray actors. For more information, see :ref:`Stateful Transforms `. .. tip:: - If you use the `expr` parameter with a Python expression string, Ray Data + If you use the `expr` parameter with a predicate expression, Ray Data optimizes your filter with native Arrow interfaces. + .. deprecated:: + String expressions are deprecated and will be removed in a future version. + Use predicate expressions from `ray.data.expressions` instead. + Examples: >>> import ray + >>> from ray.data.expressions import col >>> ds = ray.data.range(100) + >>> # String expressions (deprecated - will warn) >>> ds.filter(expr="id <= 4").take_all() [{'id': 0}, {'id': 1}, {'id': 2}, {'id': 3}, {'id': 4}] + >>> # Using predicate expressions (preferred) + >>> ds.filter(expr=(col("id") > 10) & (col("id") < 20)).take_all() + [{'id': 11}, {'id': 12}, {'id': 13}, {'id': 14}, {'id': 15}, {'id': 16}, {'id': 17}, {'id': 18}, {'id': 19}] Time complexity: O(dataset size / parallelism) Args: fn: The predicate to apply to each row, or a class type that can be instantiated to create such a callable. - expr: An expression string needs to be a valid Python expression that - will be converted to ``pyarrow.dataset.Expression`` type. + expr: An expression that represents a predicate (boolean condition) for filtering. + Can be either a string expression (deprecated) or a predicate expression + from `ray.data.expressions`. fn_args: Positional arguments to pass to ``fn`` after the first argument. These arguments are top-level arguments to the underlying Ray task. fn_kwargs: Keyword arguments to pass to ``fn``. These arguments are @@ -1479,10 +1489,12 @@ def filter( :func:`ray.remote` for details. """ # Ensure exactly one of fn or expr is provided - resolved_expr = None - if not ((fn is None) ^ (expr is None)): + provided_params = sum([fn is not None, expr is not None]) + if provided_params != 1: raise ValueError("Exactly one of 'fn' or 'expr' must be provided.") - elif expr is not None: + + # Helper function to check for incompatible function parameters + def _check_fn_params_incompatible(param_type): if ( fn_args is not None or fn_kwargs is not None @@ -1490,57 +1502,95 @@ def filter( or fn_constructor_kwargs is not None ): raise ValueError( - "when 'expr' is used, 'fn_args/fn_kwargs' or 'fn_constructor_args/fn_constructor_kwargs' can not be used." + f"when '{param_type}' is used, 'fn_args/fn_kwargs' or 'fn_constructor_args/fn_constructor_kwargs' cannot be used." ) + + # Merge ray remote args early + ray_remote_args = merge_resources_to_ray_remote_args( + num_cpus, + num_gpus, + memory, + ray_remote_args, + ) + + # Initialize Filter operator arguments with proper types + input_op = self._logical_plan.dag + predicate_expr: Optional[Expr] = None + filter_fn: Optional[UserDefinedFunction] = None + filter_fn_args: Optional[Iterable[Any]] = None + filter_fn_kwargs: Optional[Dict[str, Any]] = None + filter_fn_constructor_args: Optional[Iterable[Any]] = None + filter_fn_constructor_kwargs: Optional[Dict[str, Any]] = None + filter_compute: Optional[ComputeStrategy] = None + + if expr is not None: + _check_fn_params_incompatible("expr") from ray.data._internal.compute import TaskPoolStrategy - from ray.data._internal.planner.plan_expression.expression_evaluator import ( # noqa: E501 - ExpressionEvaluator, - ) - # TODO: (srinathk) bind the expression to the actual schema. - # If fn is a string, convert it to a pyarrow.dataset.Expression - # Initialize ExpressionEvaluator with valid columns, if available - resolved_expr = ExpressionEvaluator.get_filters(expression=expr) + # Check if expr is a string (deprecated) or Expr object + if isinstance(expr, str): + warnings.warn( + "String expressions are deprecated and will be removed in a future version. " + "Use predicate expressions from ray.data.expressions instead. " + "For example: from ray.data.expressions import col; " + "ds.filter(expr=col('column_name') > 5)", + DeprecationWarning, + stacklevel=2, + ) + + from ray.data._internal.planner.plan_expression.expression_evaluator import ( # noqa: E501 + ExpressionEvaluator, + ) + + # TODO: (srinathk) bind the expression to the actual schema. + # If expr is a string, convert it to a pyarrow.dataset.Expression + # Initialize ExpressionEvaluator with valid columns, if available + # str -> Ray Data's Expression + predicate_expr = ExpressionEvaluator.parse_native_expression(expr) + else: + # expr is an Expr object (predicate expression) + predicate_expr = expr - compute = TaskPoolStrategy(size=concurrency) + filter_compute = TaskPoolStrategy(size=concurrency) else: warnings.warn( "Use 'expr' instead of 'fn' when possible for performant filters." ) - if callable(fn): - compute = get_compute_strategy( - fn=fn, - fn_constructor_args=fn_constructor_args, - compute=compute, - concurrency=concurrency, - ) - else: + if not callable(fn): raise ValueError( f"fn must be a UserDefinedFunction, but got " f"{type(fn).__name__} instead." ) - ray_remote_args = merge_resources_to_ray_remote_args( - num_cpus, - num_gpus, - memory, - ray_remote_args, - ) - plan = self._plan.copy() - op = Filter( - input_op=self._logical_plan.dag, - fn=fn, - fn_args=fn_args, - fn_kwargs=fn_kwargs, - fn_constructor_args=fn_constructor_args, - fn_constructor_kwargs=fn_constructor_kwargs, - filter_expr=resolved_expr, - compute=compute, + filter_fn = fn + filter_fn_args = fn_args + filter_fn_kwargs = fn_kwargs + filter_fn_constructor_args = fn_constructor_args + filter_fn_constructor_kwargs = fn_constructor_kwargs + filter_compute = get_compute_strategy( + fn=fn, + fn_constructor_args=fn_constructor_args, + compute=compute, + concurrency=concurrency, + ) + + # Create Filter operator with explicitly typed arguments + filter_op = Filter( + input_op=input_op, + predicate_expr=predicate_expr, + fn=filter_fn, + fn_args=filter_fn_args, + fn_kwargs=filter_fn_kwargs, + fn_constructor_args=filter_fn_constructor_args, + fn_constructor_kwargs=filter_fn_constructor_kwargs, + compute=filter_compute, ray_remote_args_fn=ray_remote_args_fn, ray_remote_args=ray_remote_args, ) - logical_plan = LogicalPlan(op, self.context) + + plan = self._plan.copy() + logical_plan = LogicalPlan(filter_op, self.context) return Dataset(plan, logical_plan) @PublicAPI(api_group=SSR_API_GROUP) @@ -1569,7 +1619,7 @@ def repartition( * When ``num_blocks`` and ``shuffle=True`` are specified Ray Data performs a full distributed shuffle producing exactly ``num_blocks`` blocks. * When ``num_blocks`` and ``shuffle=False`` are specified, Ray Data does NOT perform full shuffle, instead opting in for splitting and combining of the blocks attempting to minimize the necessary data movement (relative to full-blown shuffle). Exactly ``num_blocks`` will be produced. - * If ``target_num_rows_per_block`` is set (exclusive with ``num_blocks`` and ``shuffle``), streaming repartitioning will be executed, where blocks will be made to carry no more than ``target_num_rows_per_block``. Smaller blocks will be combined into bigger ones up to ``target_num_rows_per_block`` as well. + * If ``target_num_rows_per_block`` is set (exclusive with ``num_blocks`` and ``shuffle``), streaming repartitioning will be executed, where blocks will be made to carry no more than ``target_num_rows_per_block`` rows. Smaller blocks will be combined into bigger ones up to ``target_num_rows_per_block`` as well. .. image:: /data/images/dataset-shuffle.svg :align: center diff --git a/python/ray/data/tests/test_execution_optimizer.py b/python/ray/data/tests/test_execution_optimizer.py index ee5769720997..4a2fbae14098 100644 --- a/python/ray/data/tests/test_execution_optimizer.py +++ b/python/ray/data/tests/test_execution_optimizer.py @@ -307,7 +307,7 @@ def test_filter_operator(ray_start_regular_shared_2_cpus): read_op = get_parquet_read_logical_op() op = Filter( read_op, - lambda x: x, + fn=lambda x: x, ) plan = LogicalPlan(op, ctx) physical_op = planner.plan(plan).dag diff --git a/python/ray/data/tests/test_filter.py b/python/ray/data/tests/test_filter.py new file mode 100644 index 000000000000..c7d101745e17 --- /dev/null +++ b/python/ray/data/tests/test_filter.py @@ -0,0 +1,377 @@ +import pandas as pd +import pyarrow as pa +import pyarrow.parquet as pq +import pytest +from pkg_resources import parse_version + +import ray +from ray.data.expressions import col +from ray.data.tests.conftest import get_pyarrow_version +from ray.tests.conftest import * # noqa + + +def test_filter_mutex(ray_start_regular_shared, tmp_path): + """Test filter op.""" + + # Generate sample data + data = { + "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], + "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], + "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], + "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], + } + df = pd.DataFrame(data) + + # Define the path for the Parquet file in the tmp_path directory + parquet_file = tmp_path / "sample_data.parquet" + + # Write DataFrame to a Parquet file + table = pa.Table.from_pandas(df) + pq.write_table(table, parquet_file) + + # Load parquet dataset + parquet_ds = ray.data.read_parquet(str(parquet_file)) + + # Filter using lambda (UDF) + with pytest.raises( + ValueError, + ): + parquet_ds.filter( + fn=lambda r: r["sepal.length"] > 5.0, expr="sepal.length > 5.0" + ) + + with pytest.raises(ValueError, match="must be a UserDefinedFunction"): + parquet_ds.filter(fn="sepal.length > 5.0") + + +def test_filter_with_expressions(ray_start_regular_shared, tmp_path): + """Test filtering with expressions.""" + + # Generate sample data + data = { + "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], + "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], + "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], + "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], + } + df = pd.DataFrame(data) + + # Define the path for the Parquet file in the tmp_path directory + parquet_file = tmp_path / "sample_data.parquet" + + # Write DataFrame to a Parquet file + table = pa.Table.from_pandas(df) + pq.write_table(table, parquet_file) + + # Load parquet dataset + parquet_ds = ray.data.read_parquet(str(parquet_file)) + + # Filter using lambda (UDF) + filtered_udf_ds = parquet_ds.filter(lambda r: r["sepal.length"] > 5.0) + filtered_udf_data = filtered_udf_ds.to_pandas() + + # Filter using expressions + filtered_expr_ds = parquet_ds.filter(expr="sepal.length > 5.0") + filtered_expr_data = filtered_expr_ds.to_pandas() + + # Assert the filtered data is the same + assert set(filtered_udf_data["sepal.length"]) == set( + filtered_expr_data["sepal.length"] + ) + assert len(filtered_udf_data) == len(filtered_expr_data) + + # Verify correctness of filtered results: only rows with 'sepal.length' > 5.0 + assert all( + filtered_expr_data["sepal.length"] > 5.0 + ), "Filtered data contains rows with 'sepal.length' <= 5.0" + assert all( + filtered_udf_data["sepal.length"] > 5.0 + ), "UDF-filtered data contains rows with 'sepal.length' <= 5.0" + + +def test_filter_with_invalid_expression(ray_start_regular_shared, tmp_path): + """Test filtering with invalid expressions.""" + + # Generate sample data + data = { + "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], + "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], + "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], + "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], + } + df = pd.DataFrame(data) + + # Define the path for the Parquet file in the tmp_path directory + parquet_file = tmp_path / "sample_data.parquet" + + # Write DataFrame to a Parquet file + table = pa.Table.from_pandas(df) + pq.write_table(table, parquet_file) + + # Load parquet dataset + parquet_ds = ray.data.read_parquet(str(parquet_file)) + + with pytest.raises(ValueError, match="Invalid syntax in the expression"): + parquet_ds.filter(expr="fake_news super fake") + + fake_column_ds = parquet_ds.filter(expr="sepal_length_123 > 1") + with pytest.raises(KeyError): + fake_column_ds.to_pandas() + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="predicate expressions require PyArrow >= 20.0.0", +) +@pytest.mark.parametrize( + "predicate_expr, test_data, expected_indices, test_description", + [ + # Simple comparison filters + pytest.param( + col("age") >= 21, + [ + {"age": 20, "name": "Alice"}, + {"age": 21, "name": "Bob"}, + {"age": 25, "name": "Charlie"}, + {"age": 30, "name": "David"}, + ], + [1, 2, 3], # Indices of rows that should remain + "age_greater_equal_filter", + ), + pytest.param( + col("score") > 50, + [ + {"score": 30, "status": "fail"}, + {"score": 50, "status": "borderline"}, + {"score": 70, "status": "pass"}, + {"score": 90, "status": "excellent"}, + ], + [2, 3], + "score_greater_than_filter", + ), + pytest.param( + col("category") == "premium", + [ + {"category": "basic", "price": 10}, + {"category": "premium", "price": 50}, + {"category": "standard", "price": 25}, + {"category": "premium", "price": 75}, + ], + [1, 3], + "equality_string_filter", + ), + # Complex logical filters + pytest.param( + (col("age") >= 18) & (col("active")), + [ + {"age": 17, "active": True}, + {"age": 18, "active": False}, + {"age": 25, "active": True}, + {"age": 30, "active": True}, + ], + [2, 3], + "logical_and_filter", + ), + pytest.param( + (col("status") == "approved") | (col("priority") == "high"), + [ + {"status": "pending", "priority": "low"}, + {"status": "approved", "priority": "low"}, + {"status": "pending", "priority": "high"}, + {"status": "rejected", "priority": "high"}, + ], + [1, 2, 3], + "logical_or_filter", + ), + # Null handling filters + pytest.param( + col("value").is_not_null(), + [ + {"value": None, "id": 1}, + {"value": 0, "id": 2}, + {"value": None, "id": 3}, + {"value": 42, "id": 4}, + ], + [1, 3], + "not_null_filter", + ), + pytest.param( + col("name").is_null(), + [ + {"name": "Alice", "id": 1}, + {"name": None, "id": 2}, + {"name": "Bob", "id": 3}, + {"name": None, "id": 4}, + ], + [1, 3], + "is_null_filter", + ), + # Complex multi-condition filters + pytest.param( + col("value").is_not_null() & (col("value") > 0), + [ + {"value": None, "type": "missing"}, + {"value": -5, "type": "negative"}, + {"value": 0, "type": "zero"}, + {"value": 10, "type": "positive"}, + ], + [3], + "null_aware_positive_filter", + ), + # String operations + pytest.param( + col("name").is_not_null() & (col("name") != "excluded"), + [ + {"name": "included", "id": 1}, + {"name": "excluded", "id": 2}, + {"name": None, "id": 3}, + {"name": "allowed", "id": 4}, + ], + [0, 3], + "string_exclusion_filter", + ), + # Membership operations + pytest.param( + col("category").is_in(["A", "B"]), + [ + {"category": "A", "value": 1}, + {"category": "B", "value": 2}, + {"category": "C", "value": 3}, + {"category": "D", "value": 4}, + {"category": "A", "value": 5}, + ], + [0, 1, 4], + "membership_filter", + ), + # Negation operations + pytest.param( + ~(col("category") == "reject"), + [ + {"category": "accept", "id": 1}, + {"category": "reject", "id": 2}, + {"category": "pending", "id": 3}, + {"category": "reject", "id": 4}, + ], + [0, 2], + "negation_filter", + ), + # Nested complex expressions + pytest.param( + (col("score") >= 50) & (col("grade") != "F") & col("active"), + [ + {"score": 45, "grade": "F", "active": True}, + {"score": 55, "grade": "D", "active": True}, + {"score": 75, "grade": "B", "active": False}, + {"score": 85, "grade": "A", "active": True}, + ], + [1, 3], + "complex_nested_filter", + ), + ], +) +def test_filter_with_predicate_expressions( + ray_start_regular_shared, + predicate_expr, + test_data, + expected_indices, + test_description, +): + """Test filter() with Ray Data predicate expressions.""" + # Create dataset from test data + ds = ray.data.from_items(test_data) + + # Apply filter with predicate expression + filtered_ds = ds.filter(expr=predicate_expr) + + # Convert to list and verify results + result_data = filtered_ds.to_pandas().to_dict("records") + expected_data = [test_data[i] for i in expected_indices] + + # Use pandas testing for consistent comparison + result_df = pd.DataFrame(result_data) + expected_df = pd.DataFrame(expected_data) + + pd.testing.assert_frame_equal( + result_df.reset_index(drop=True), + expected_df.reset_index(drop=True), + check_dtype=False, + ) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="predicate expressions require PyArrow >= 20.0.0", +) +def test_filter_predicate_expr_vs_function_consistency(ray_start_regular_shared): + """Test that predicate expressions produce the same results as equivalent functions.""" + test_data = [ + {"age": 20, "score": 85, "active": True}, + {"age": 25, "score": 45, "active": False}, + {"age": 30, "score": 95, "active": True}, + {"age": 18, "score": 60, "active": True}, + ] + + ds = ray.data.from_items(test_data) + + # Test simple comparison + predicate_result = ds.filter(expr=col("age") >= 21).to_pandas() + function_result = ds.filter(fn=lambda row: row["age"] >= 21).to_pandas() + pd.testing.assert_frame_equal(predicate_result, function_result, check_dtype=False) + + # Test complex logical expression + complex_predicate = (col("age") >= 21) & (col("score") > 80) & col("active") + predicate_result = ds.filter(expr=complex_predicate).to_pandas() + function_result = ds.filter( + fn=lambda row: row["age"] >= 21 and row["score"] > 80 and row["active"] + ).to_pandas() + pd.testing.assert_frame_equal(predicate_result, function_result, check_dtype=False) + + +@pytest.mark.skipif( + get_pyarrow_version() < parse_version("20.0.0"), + reason="predicate expressions require PyArrow >= 20.0.0", +) +def test_filter_predicate_with_different_block_formats(ray_start_regular_shared): + """Test that predicate expressions work with different block formats (pandas/arrow).""" + test_data = [ + {"category": "A", "value": 10}, + {"category": "B", "value": 20}, + {"category": "A", "value": 30}, + {"category": "C", "value": 40}, + ] + + # Test with different data sources that produce different block formats + + # From items (typically arrow) + ds_items = ray.data.from_items(test_data) + result_items = ds_items.filter(expr=col("category") == "A").to_pandas() + + # From pandas (pandas blocks) + df = pd.DataFrame(test_data) + ds_pandas = ray.data.from_pandas([df]) + result_pandas = ds_pandas.filter(expr=col("category") == "A").to_pandas() + + # Results should be identical (reset indices for comparison) + expected_df = pd.DataFrame( + [ + {"category": "A", "value": 10}, + {"category": "A", "value": 30}, + ] + ) + + pd.testing.assert_frame_equal( + result_items.reset_index(drop=True), + expected_df.reset_index(drop=True), + check_dtype=False, + ) + pd.testing.assert_frame_equal( + result_pandas.reset_index(drop=True), + expected_df.reset_index(drop=True), + check_dtype=False, + ) + + +if __name__ == "__main__": + import sys + + sys.exit(pytest.main(["-v", __file__])) diff --git a/python/ray/data/tests/test_map.py b/python/ray/data/tests/test_map.py index 6e3889326d76..d55c36717117 100644 --- a/python/ray/data/tests/test_map.py +++ b/python/ray/data/tests/test_map.py @@ -686,119 +686,6 @@ def test_rename_columns_error_cases( assert str(exc_info.value) == expected_message -def test_filter_mutex( - ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default -): - """Test filter op.""" - - # Generate sample data - data = { - "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], - "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], - "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], - "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], - } - df = pd.DataFrame(data) - - # Define the path for the Parquet file in the tmp_path directory - parquet_file = tmp_path / "sample_data.parquet" - - # Write DataFrame to a Parquet file - table = pa.Table.from_pandas(df) - pq.write_table(table, parquet_file) - - # Load parquet dataset - parquet_ds = ray.data.read_parquet(str(parquet_file)) - - # Filter using lambda (UDF) - with pytest.raises(ValueError, match="Exactly one of 'fn' or 'expr'"): - parquet_ds.filter( - fn=lambda r: r["sepal.length"] > 5.0, expr="sepal.length > 5.0" - ) - - with pytest.raises(ValueError, match="must be a UserDefinedFunction"): - parquet_ds.filter(fn="sepal.length > 5.0") - - -def test_filter_with_expressions( - ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default -): - """Test filtering with expressions.""" - - # Generate sample data - data = { - "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], - "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], - "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], - "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], - } - df = pd.DataFrame(data) - - # Define the path for the Parquet file in the tmp_path directory - parquet_file = tmp_path / "sample_data.parquet" - - # Write DataFrame to a Parquet file - table = pa.Table.from_pandas(df) - pq.write_table(table, parquet_file) - - # Load parquet dataset - parquet_ds = ray.data.read_parquet(str(parquet_file)) - - # Filter using lambda (UDF) - filtered_udf_ds = parquet_ds.filter(lambda r: r["sepal.length"] > 5.0) - filtered_udf_data = filtered_udf_ds.to_pandas() - - # Filter using expressions - filtered_expr_ds = parquet_ds.filter(expr="sepal.length > 5.0") - filtered_expr_data = filtered_expr_ds.to_pandas() - - # Assert the filtered data is the same - assert set(filtered_udf_data["sepal.length"]) == set( - filtered_expr_data["sepal.length"] - ) - assert len(filtered_udf_data) == len(filtered_expr_data) - - # Verify correctness of filtered results: only rows with 'sepal.length' > 5.0 - assert all( - filtered_expr_data["sepal.length"] > 5.0 - ), "Filtered data contains rows with 'sepal.length' <= 5.0" - assert all( - filtered_udf_data["sepal.length"] > 5.0 - ), "UDF-filtered data contains rows with 'sepal.length' <= 5.0" - - -def test_filter_with_invalid_expression( - ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default -): - """Test filtering with invalid expressions.""" - - # Generate sample data - data = { - "sepal.length": [4.8, 5.1, 5.7, 6.3, 7.0], - "sepal.width": [3.0, 3.3, 3.5, 3.2, 2.8], - "petal.length": [1.4, 1.7, 4.2, 5.4, 6.1], - "petal.width": [0.2, 0.4, 1.5, 2.1, 2.4], - } - df = pd.DataFrame(data) - - # Define the path for the Parquet file in the tmp_path directory - parquet_file = tmp_path / "sample_data.parquet" - - # Write DataFrame to a Parquet file - table = pa.Table.from_pandas(df) - pq.write_table(table, parquet_file) - - # Load parquet dataset - parquet_ds = ray.data.read_parquet(str(parquet_file)) - - with pytest.raises(ValueError, match="Invalid syntax in the expression"): - parquet_ds.filter(expr="fake_news super fake") - - fake_column_ds = parquet_ds.filter(expr="sepal_length_123 > 1") - with pytest.raises(UserCodeException): - fake_column_ds.to_pandas() - - def test_drop_columns( ray_start_regular_shared, tmp_path, target_max_block_size_infinite_or_default ): From 39df8a010d0c29ad88575ebcae86e6d3e802bc6f Mon Sep 17 00:00:00 2001 From: Dhyey Shah Date: Tue, 30 Sep 2025 23:59:56 -0700 Subject: [PATCH 1479/1566] [core] Add config to not inject rpc failures if rpc's are local (#57034) Signed-off-by: dayshah Signed-off-by: Douglas Strodtman --- python/ray/includes/common.pxd | 4 +- src/ray/common/ray_config_def.h | 3 ++ src/ray/core_worker/core_worker_process.cc | 24 ++++------ .../experimental_mutable_object_provider.cc | 6 ++- src/ray/core_worker/tests/core_worker_test.cc | 4 +- src/ray/gcs/gcs_server.cc | 2 + src/ray/gcs/tests/gcs_server_rpc_test.cc | 3 +- src/ray/gcs_rpc_client/BUILD.bazel | 1 - src/ray/gcs_rpc_client/gcs_client.cc | 16 ++++--- src/ray/gcs_rpc_client/gcs_client.h | 23 +++++----- src/ray/gcs_rpc_client/rpc_client.h | 46 +++++++++---------- src/ray/object_manager/object_manager.cc | 1 + .../ownership_object_directory.cc | 1 - .../ownership_object_directory.h | 2 - src/ray/observability/BUILD.bazel | 2 - src/ray/observability/ray_event_recorder.cc | 4 +- src/ray/observability/ray_event_recorder.h | 5 -- src/ray/raylet/main.cc | 4 +- src/ray/raylet/tests/node_manager_test.cc | 2 +- src/ray/raylet/tests/worker_pool_test.cc | 2 +- src/ray/rpc/client_call.h | 10 +++- src/ray/rpc/grpc_client.h | 19 +++++--- src/ray/rpc/tests/grpc_server_client_test.cc | 9 ++-- .../rpc/tests/metrics_agent_client_test.cc | 3 +- src/ray/stats/metric_exporter.cc | 40 ++++++++-------- src/ray/stats/metric_exporter.h | 18 ++------ src/ray/stats/stats.h | 1 - src/ray/util/network_util.h | 5 ++ 28 files changed, 135 insertions(+), 125 deletions(-) diff --git a/python/ray/includes/common.pxd b/python/ray/includes/common.pxd index eda3a38f14a9..ebcd8e903296 100644 --- a/python/ray/includes/common.pxd +++ b/python/ray/includes/common.pxd @@ -626,11 +626,11 @@ cdef extern from "ray/gcs_rpc_client/gcs_client.h" nogil: cdef cppclass CGcsClientOptions "ray::gcs::GcsClientOptions": CGcsClientOptions( - const c_string &gcs_address, int port, CClusterID cluster_id, + c_string gcs_address, int port, CClusterID cluster_id, c_bool allow_cluster_id_nil, c_bool fetch_cluster_id_if_nil) cdef cppclass CGcsClient "ray::gcs::GcsClient": - CGcsClient(const CGcsClientOptions &options) + CGcsClient(CGcsClientOptions options) c_pair[c_string, int] GetGcsServerAddress() const CClusterID GetClusterId() const diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 30ae285e8048..58ee9a639e05 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -843,6 +843,9 @@ RAY_CONFIG(std::string, testing_asio_delay_us, "") /// export RAY_testing_rpc_failure="*=-1:25:50" /// NOTE: Setting the wildcard will override any configuration for other methods. RAY_CONFIG(std::string, testing_rpc_failure, "") +/// If this is set, when injecting RPC failures, we'll check if the server and client have +/// the same address. If they do, we won't inject the failure. +RAY_CONFIG(bool, testing_rpc_failure_avoid_intra_node_failures, false) /// The following are configs for the health check. They are borrowed /// from k8s health probe (shorturl.at/jmTY3) diff --git a/src/ray/core_worker/core_worker_process.cc b/src/ray/core_worker/core_worker_process.cc index 170b96f0d8b4..4822685981cb 100644 --- a/src/ray/core_worker/core_worker_process.cc +++ b/src/ray/core_worker/core_worker_process.cc @@ -23,11 +23,7 @@ #include "absl/cleanup/cleanup.h" #include "absl/strings/str_format.h" -#include "ray/common/bundle_spec.h" -#include "ray/common/protobuf_utils.h" #include "ray/common/ray_config.h" -#include "ray/common/runtime_env_common.h" -#include "ray/common/task/task_util.h" #include "ray/core_worker/core_worker.h" #include "ray/core_worker/core_worker_rpc_proxy.h" #include "ray/core_worker_rpc_client/core_worker_client.h" @@ -38,7 +34,6 @@ #include "ray/raylet_rpc_client/raylet_client.h" #include "ray/stats/stats.h" #include "ray/stats/tag_defs.h" -#include "ray/util/container_util.h" #include "ray/util/env.h" #include "ray/util/event.h" #include "ray/util/network_util.h" @@ -62,7 +57,7 @@ std::string GetWorkerOutputFilepath(WorkerType worker_type, const JobID &job_id, const WorkerID &worker_id, const std::string &suffix) { - std::string parsed_job_id = ""; + std::string parsed_job_id; if (job_id.IsNil()) { char *job_id_env = ::getenv("RAY_JOB_ID"); if (job_id_env != nullptr) { @@ -137,8 +132,8 @@ std::shared_ptr CoreWorkerProcess::TryGetWorker() { std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( CoreWorkerOptions options, const WorkerID &worker_id) { /// Event loop where the IO events are handled. e.g. async GCS operations. - auto client_call_manager = - std::make_unique(io_service_, /*record_stats=*/false); + auto client_call_manager = std::make_unique( + io_service_, /*record_stats=*/false, options.node_ip_address); auto periodical_runner = PeriodicalRunner::Create(io_service_); auto worker_context = std::make_unique( options.worker_type, worker_id, GetProcessJobID(options)); @@ -169,7 +164,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( } auto task_event_buffer = std::make_unique( - std::make_unique(options.gcs_options), + std::make_unique(options.gcs_options, options.node_ip_address), std::make_unique(options.metrics_agent_port, *client_call_manager), options.session_name); @@ -267,8 +262,8 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( << "Initializing worker at address: " << BuildAddress(rpc_address.ip_address(), rpc_address.port()); - auto gcs_client = std::make_shared(options.gcs_options, - worker_context->GetWorkerID()); + auto gcs_client = std::make_shared( + options.gcs_options, options.node_ip_address, worker_context->GetWorkerID()); RAY_CHECK_OK(gcs_client->Connect(io_service_)); if (RayConfig::instance().task_events_report_interval_ms() > 0) { @@ -406,7 +401,7 @@ std::shared_ptr CoreWorkerProcessImpl::CreateCoreWorker( RAY_CHECK(node_info) << "No GCS info for node " << node_id; auto addr = rpc::RayletClientPool::GenerateRayletAddress( node_id, node_info->node_manager_address(), node_info->node_manager_port()); - return core_worker->raylet_client_pool_->GetOrConnectByAddress(std::move(addr)); + return core_worker->raylet_client_pool_->GetOrConnectByAddress(addr); }; experimental_mutable_object_provider = @@ -851,11 +846,12 @@ void CoreWorkerProcessImpl::InitializeSystemConfig() { // the system config in the constructor of `CoreWorkerProcessImpl`. std::promise promise; std::thread thread([&] { - instrumented_io_context io_service{/*enable_lag_probe=*/false, + instrumented_io_context io_service{/*emit_metrics=*/false, /*running_on_single_thread=*/true}; boost::asio::executor_work_guard work( io_service.get_executor()); - rpc::ClientCallManager client_call_manager(io_service, /*record_stats=*/false); + rpc::ClientCallManager client_call_manager( + io_service, /*record_stats=*/false, options_.node_ip_address); rpc::Address raylet_address = rpc::RayletClientPool::GenerateRayletAddress( NodeID::Nil(), options_.node_ip_address, options_.node_manager_port); // TODO(joshlee): This local raylet client has a custom retry policy below since its diff --git a/src/ray/core_worker/experimental_mutable_object_provider.cc b/src/ray/core_worker/experimental_mutable_object_provider.cc index b97b19347278..1bc4eba6dc20 100644 --- a/src/ray/core_worker/experimental_mutable_object_provider.cc +++ b/src/ray/core_worker/experimental_mutable_object_provider.cc @@ -71,8 +71,10 @@ void MutableObjectProvider::RegisterWriterChannel( // Find remote readers. for (const auto &node_id : remote_reader_node_ids) { - client_call_managers_.push_back( - std::make_unique(io_context, /*record_stats=*/false)); + // NOTE: Not setting local address because we're not testing compiled graphs with + // testing_rpc_failure_avoid_intra_node_failures for now. + client_call_managers_.push_back(std::make_unique( + io_context, /*record_stats=*/false, /*local_address=*/"always not local")); std::shared_ptr reader = raylet_client_factory_(node_id); remote_readers->push_back(reader); } diff --git a/src/ray/core_worker/tests/core_worker_test.cc b/src/ray/core_worker/tests/core_worker_test.cc index a91a1223aa44..1508e5d15117 100644 --- a/src/ray/core_worker/tests/core_worker_test.cc +++ b/src/ray/core_worker/tests/core_worker_test.cc @@ -95,8 +95,8 @@ class CoreWorkerTest : public ::testing::Test { return Status::OK(); }; - auto client_call_manager = - std::make_unique(io_service_, /*record_stats=*/false); + auto client_call_manager = std::make_unique( + io_service_, /*record_stats=*/false, /*local_address=*/""); auto core_worker_client_pool = std::make_shared([](const rpc::Address &) { diff --git a/src/ray/gcs/gcs_server.cc b/src/ray/gcs/gcs_server.cc index 6e423763c690..4f1128881fe0 100644 --- a/src/ray/gcs/gcs_server.cc +++ b/src/ray/gcs/gcs_server.cc @@ -73,6 +73,7 @@ GcsServer::GcsServer( /*keepalive_time_ms=*/RayConfig::instance().grpc_keepalive_time_ms()), client_call_manager_(main_service, /*record_stats=*/true, + config.node_ip_address, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), raylet_client_pool_([this](const rpc::Address &addr) { @@ -121,6 +122,7 @@ GcsServer::GcsServer( event_aggregator_client_call_manager_( io_context_provider_.GetIOContext(), /*record_stats=*/true, + config.node_ip_address, ClusterID::Nil(), RayConfig::instance().gcs_server_rpc_client_thread_num()), event_aggregator_client_(std::make_unique( diff --git a/src/ray/gcs/tests/gcs_server_rpc_test.cc b/src/ray/gcs/tests/gcs_server_rpc_test.cc index 346d2825acbb..1a66c2e21afd 100644 --- a/src/ray/gcs/tests/gcs_server_rpc_test.cc +++ b/src/ray/gcs/tests/gcs_server_rpc_test.cc @@ -60,7 +60,8 @@ class GcsServerTest : public ::testing::Test { } // Create gcs rpc client - client_call_manager_.reset(new rpc::ClientCallManager(io_service_, false)); + client_call_manager_.reset(new rpc::ClientCallManager( + io_service_, /*record_stats=*/false, /*local_address=*/"")); client_.reset( new rpc::GcsRpcClient("0.0.0.0", gcs_server_->GetPort(), *client_call_manager_)); } diff --git a/src/ray/gcs_rpc_client/BUILD.bazel b/src/ray/gcs_rpc_client/BUILD.bazel index 6986365cb3f9..f405ed432b65 100644 --- a/src/ray/gcs_rpc_client/BUILD.bazel +++ b/src/ray/gcs_rpc_client/BUILD.bazel @@ -59,6 +59,5 @@ ray_cc_library( "//src/ray/rpc:retryable_grpc_client", "//src/ray/rpc:rpc_callback_types", "//src/ray/util:network_util", - "@com_google_absl//absl/container:btree", ], ) diff --git a/src/ray/gcs_rpc_client/gcs_client.cc b/src/ray/gcs_rpc_client/gcs_client.cc index dd421e67ab84..2ee53e1c0680 100644 --- a/src/ray/gcs_rpc_client/gcs_client.cc +++ b/src/ray/gcs_rpc_client/gcs_client.cc @@ -14,10 +14,8 @@ #include "ray/gcs_rpc_client/gcs_client.h" -#include #include #include -#include #include #include #include @@ -96,16 +94,22 @@ bool GcsClientOptions::ShouldFetchClusterId(ClusterID cluster_id, } } -GcsClient::GcsClient(const GcsClientOptions &options, UniqueID gcs_client_id) - : options_(options), gcs_client_id_(gcs_client_id) {} +GcsClient::GcsClient(GcsClientOptions options, + std::string local_address, + UniqueID gcs_client_id) + : options_(std::move(options)), + gcs_client_id_(gcs_client_id), + local_address_(std::move(local_address)) {} Status GcsClient::Connect(instrumented_io_context &io_service, int64_t timeout_ms) { if (timeout_ms < 0) { timeout_ms = RayConfig::instance().gcs_rpc_server_connect_timeout_s() * 1000; } // Connect to gcs service. - client_call_manager_ = std::make_unique( - io_service, /*record_stats=*/false, options_.cluster_id_); + client_call_manager_ = std::make_unique(io_service, + /*record_stats=*/false, + local_address_, + options_.cluster_id_); gcs_rpc_client_ = std::make_shared( options_.gcs_address_, options_.gcs_port_, *client_call_manager_); diff --git a/src/ray/gcs_rpc_client/gcs_client.h b/src/ray/gcs_rpc_client/gcs_client.h index f57d3dbe3d4f..a80f290c2d6d 100644 --- a/src/ray/gcs_rpc_client/gcs_client.h +++ b/src/ray/gcs_rpc_client/gcs_client.h @@ -21,11 +21,8 @@ #include #include #include -#include -#include "absl/strings/str_split.h" #include "ray/common/asio/instrumented_io_context.h" -#include "ray/common/asio/periodical_runner.h" #include "ray/common/id.h" #include "ray/common/status.h" #include "ray/gcs_rpc_client/accessor.h" @@ -33,7 +30,6 @@ #include "ray/pubsub/gcs_subscriber.h" #include "ray/util/logging.h" #include "ray/util/network_util.h" -#include "src/ray/protobuf/autoscaler.grpc.pb.h" namespace ray { @@ -45,12 +41,12 @@ namespace gcs { // TODO(ryw): eventually we will always have fetch_cluster_id_if_nil = true. class GcsClientOptions { public: - GcsClientOptions(const std::string &gcs_address, + GcsClientOptions(std::string gcs_address, int port, const ClusterID &cluster_id, bool allow_cluster_id_nil, bool fetch_cluster_id_if_nil) - : gcs_address_(gcs_address), + : gcs_address_(std::move(gcs_address)), gcs_port_(port), cluster_id_(cluster_id), should_fetch_cluster_id_(ShouldFetchClusterId( @@ -73,7 +69,7 @@ class GcsClientOptions { gcs_port_ = std::stoi((*address)[1]); } - GcsClientOptions() {} + GcsClientOptions() = default; // - CHECK-fails if invalid (cluster_id_ is nil but !allow_cluster_id_nil_) // - Returns false if no need to fetch (cluster_id_ is not nil, or @@ -101,12 +97,16 @@ class RAY_EXPORT GcsClient : public std::enable_shared_from_this { /// Constructor of GcsClient. /// /// \param options Options for client. - /// \param gcs_client_id The unique ID for the owner of this object. - /// This potentially will be used to tell GCS who is client connecting - /// to GCS. - explicit GcsClient(const GcsClientOptions &options, + /// \param local_address The local address of the client. (Used to decide whether to + /// inject RPC failures for testing) + /// \param gcs_client_id This is used to give subscribers Unique ID's. + explicit GcsClient(GcsClientOptions options, + std::string local_address = "", UniqueID gcs_client_id = UniqueID::FromRandom()); + GcsClient(const GcsClient &) = delete; + GcsClient &operator=(const GcsClient &) = delete; + virtual ~GcsClient() { Disconnect(); }; /// Connect to GCS Service. Non-thread safe. @@ -256,6 +256,7 @@ class RAY_EXPORT GcsClient : public std::enable_shared_from_this { std::shared_ptr gcs_rpc_client_; std::unique_ptr client_call_manager_; std::function resubscribe_func_; + std::string local_address_; }; // Connects a GcsClient to the GCS server, on a shared lazy-initialized singleton diff --git a/src/ray/gcs_rpc_client/rpc_client.h b/src/ray/gcs_rpc_client/rpc_client.h index 17f023e3c116..87d6dd985c58 100644 --- a/src/ray/gcs_rpc_client/rpc_client.h +++ b/src/ray/gcs_rpc_client/rpc_client.h @@ -19,10 +19,8 @@ #include #include #include -#include #include -#include "absl/container/btree_map.h" #include "ray/common/grpc_util.h" #include "ray/rpc/retryable_grpc_client.h" #include "ray/util/network_util.h" @@ -158,35 +156,35 @@ class GcsRpcClient { << " seconds."; } - job_info_grpc_client_ = - std::make_shared>(channel_, client_call_manager); - actor_info_grpc_client_ = - std::make_shared>(channel_, client_call_manager); - node_info_grpc_client_ = - std::make_shared>(channel_, client_call_manager); + job_info_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); + actor_info_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); + node_info_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); node_resource_info_grpc_client_ = - std::make_shared>(channel_, - client_call_manager); - worker_info_grpc_client_ = - std::make_shared>(channel_, client_call_manager); + std::make_shared>( + channel_, client_call_manager, address); + worker_info_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); placement_group_info_grpc_client_ = - std::make_shared>(channel_, - client_call_manager); - internal_kv_grpc_client_ = - std::make_shared>(channel_, client_call_manager); + std::make_shared>( + channel_, client_call_manager, address); + internal_kv_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); internal_pubsub_grpc_client_ = std::make_shared>( - channel_, client_call_manager); - task_info_grpc_client_ = - std::make_shared>(channel_, client_call_manager); + channel_, client_call_manager, address); + task_info_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); ray_event_export_grpc_client_ = - std::make_shared>(channel_, - client_call_manager); + std::make_shared>( + channel_, client_call_manager, address); autoscaler_state_grpc_client_ = std::make_shared>( - channel_, client_call_manager); + channel_, client_call_manager, address); - runtime_env_grpc_client_ = - std::make_shared>(channel_, client_call_manager); + runtime_env_grpc_client_ = std::make_shared>( + channel_, client_call_manager, address); retryable_grpc_client_ = RetryableGrpcClient::Create( channel_, diff --git a/src/ray/object_manager/object_manager.cc b/src/ray/object_manager/object_manager.cc index 1f46d5466889..6190144b01fa 100644 --- a/src/ray/object_manager/object_manager.cc +++ b/src/ray/object_manager/object_manager.cc @@ -92,6 +92,7 @@ ObjectManager::ObjectManager( config_.rpc_service_threads_number), client_call_manager_(main_service, /*record_stats=*/true, + /*local_address=*/"always not local", ClusterID::Nil(), config_.rpc_service_threads_number), restore_spilled_object_(std::move(restore_spilled_object)), diff --git a/src/ray/object_manager/ownership_object_directory.cc b/src/ray/object_manager/ownership_object_directory.cc index 329fbfc3b3d3..3c6a7f28dd8c 100644 --- a/src/ray/object_manager/ownership_object_directory.cc +++ b/src/ray/object_manager/ownership_object_directory.cc @@ -31,7 +31,6 @@ OwnershipBasedObjectDirectory::OwnershipBasedObjectDirectory( std::function mark_as_failed) : io_service_(io_service), gcs_client_(gcs_client), - client_call_manager_(io_service, /*record_stats=*/true), object_location_subscriber_(object_location_subscriber), owner_client_pool_(owner_client_pool), kMaxObjectReportBatchSize(RayConfig::instance().max_object_report_batch_size()), diff --git a/src/ray/object_manager/ownership_object_directory.h b/src/ray/object_manager/ownership_object_directory.h index 82e2138c1b8a..46a80820185b 100644 --- a/src/ray/object_manager/ownership_object_directory.h +++ b/src/ray/object_manager/ownership_object_directory.h @@ -112,8 +112,6 @@ class OwnershipBasedObjectDirectory : public IObjectDirectory { gcs::GcsClient &gcs_client_; /// Info about subscribers to object locations. absl::flat_hash_map listeners_; - /// The client call manager used to create the RPC clients. - rpc::ClientCallManager client_call_manager_; /// The object location subscriber. pubsub::SubscriberInterface *object_location_subscriber_; /// Client pool to owners. diff --git a/src/ray/observability/BUILD.bazel b/src/ray/observability/BUILD.bazel index 5caf367d6ced..cebdcd576ef1 100644 --- a/src/ray/observability/BUILD.bazel +++ b/src/ray/observability/BUILD.bazel @@ -167,11 +167,9 @@ ray_cc_library( ":ray_event_recorder_interface", "//src/ray/common:asio", "//src/ray/protobuf:events_event_aggregator_service_cc_proto", - "//src/ray/protobuf:gcs_cc_proto", "//src/ray/rpc:event_aggregator_client", "//src/ray/util:logging", "@boost//:circular_buffer", - "@com_google_absl//absl/time", ], ) diff --git a/src/ray/observability/ray_event_recorder.cc b/src/ray/observability/ray_event_recorder.cc index 4c80372c1d7e..212b1212bd3e 100644 --- a/src/ray/observability/ray_event_recorder.cc +++ b/src/ray/observability/ray_event_recorder.cc @@ -14,7 +14,9 @@ #include "ray/observability/ray_event_recorder.h" -#include "src/ray/protobuf/gcs.pb.h" +#include "ray/common/ray_config.h" +#include "ray/util/logging.h" +#include "src/ray/protobuf/public/events_base_event.pb.h" namespace ray { namespace observability { diff --git a/src/ray/observability/ray_event_recorder.h b/src/ray/observability/ray_event_recorder.h index 5076560462b0..92b0ee48cb66 100644 --- a/src/ray/observability/ray_event_recorder.h +++ b/src/ray/observability/ray_event_recorder.h @@ -17,16 +17,11 @@ #include #include "absl/synchronization/mutex.h" -#include "absl/time/time.h" -#include "google/protobuf/timestamp.pb.h" #include "ray/common/asio/periodical_runner.h" -#include "ray/common/ray_config.h" #include "ray/observability/metric_interface.h" #include "ray/observability/ray_event_interface.h" #include "ray/observability/ray_event_recorder_interface.h" #include "ray/rpc/event_aggregator_client.h" -#include "ray/util/logging.h" -#include "src/ray/protobuf/public/events_base_event.pb.h" namespace ray { namespace observability { diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index bbba26e97a0d..fc8eead8b36c 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -383,7 +383,7 @@ int main(int argc, char *argv[]) { cluster_id, /*allow_cluster_id_nil=*/false, /*fetch_cluster_id_if_nil=*/false); - gcs_client = std::make_unique(client_options); + gcs_client = std::make_unique(client_options, node_ip_address); RAY_CHECK_OK(gcs_client->Connect(main_service)); std::unique_ptr raylet; @@ -699,7 +699,7 @@ int main(int argc, char *argv[]) { std::move(add_process_to_application_cgroup_hook)); client_call_manager = std::make_unique( - main_service, /*record_stats=*/true); + main_service, /*record_stats=*/true, node_ip_address); worker_rpc_pool = std::make_unique( [&](const ray::rpc::Address &addr) { diff --git a/src/ray/raylet/tests/node_manager_test.cc b/src/ray/raylet/tests/node_manager_test.cc index fcd99fa8488e..5b94420df01f 100644 --- a/src/ray/raylet/tests/node_manager_test.cc +++ b/src/ray/raylet/tests/node_manager_test.cc @@ -293,7 +293,7 @@ TEST(NodeManagerStaticTest, TestHandleReportWorkerBacklog) { class NodeManagerTest : public ::testing::Test { public: NodeManagerTest() - : client_call_manager_(io_service_, /*record_stats=*/false), + : client_call_manager_(io_service_, /*record_stats=*/false, /*local_address=*/""), worker_rpc_pool_([](const auto &) { return std::make_shared(); }), diff --git a/src/ray/raylet/tests/worker_pool_test.cc b/src/ray/raylet/tests/worker_pool_test.cc index 623bbff5df46..f7ce389a306d 100644 --- a/src/ray/raylet/tests/worker_pool_test.cc +++ b/src/ray/raylet/tests/worker_pool_test.cc @@ -157,7 +157,7 @@ class WorkerPoolMock : public WorkerPool { [this]() { return absl::FromUnixMillis(current_time_ms_); }), last_worker_process_(), instrumented_io_service_(io_service), - client_call_manager_(instrumented_io_service_, false), + client_call_manager_(instrumented_io_service_, false, /*local_address=*/""), mock_worker_rpc_clients_(mock_worker_rpc_clients) { SetNodeManagerPort(1); } diff --git a/src/ray/rpc/client_call.h b/src/ray/rpc/client_call.h index 2f1d00266691..1808409c6dc7 100644 --- a/src/ray/rpc/client_call.h +++ b/src/ray/rpc/client_call.h @@ -208,6 +208,7 @@ class ClientCallManager { /// explicit ClientCallManager(instrumented_io_context &main_service, bool record_stats, + std::string local_address, const ClusterID &cluster_id = ClusterID::Nil(), int num_threads = 1, int64_t call_timeout_ms = -1) @@ -215,8 +216,8 @@ class ClientCallManager { main_service_(main_service), num_threads_(num_threads), record_stats_(record_stats), + local_address_(std::move(local_address)), shutdown_(false), - rr_index_(std::rand() % num_threads_), call_timeout_ms_(call_timeout_ms) { // Start the polling threads. cqs_.reserve(num_threads_); @@ -297,6 +298,8 @@ class ClientCallManager { /// Get the main service of this rpc. instrumented_io_context &GetMainService() { return main_service_; } + const std::string &GetLocalAddress() const { return local_address_; } + private: /// This function runs in a background thread. It keeps polling events from the /// `CompletionQueue`, and dispatches the event to the callbacks via the `ClientCall` @@ -362,11 +365,14 @@ class ClientCallManager { /// Whether to record stats for these client calls. bool record_stats_; + /// The local address of the client. + std::string local_address_; + /// Whether the client has shutdown. std::atomic shutdown_; /// The index to send RPCs in a round-robin fashion - std::atomic rr_index_; + std::atomic rr_index_ = 0; /// The gRPC `CompletionQueue` object used to poll events. std::vector> cqs_; diff --git a/src/ray/rpc/grpc_client.h b/src/ray/rpc/grpc_client.h index 279d14a4dca7..bb6ad2a949e0 100644 --- a/src/ray/rpc/grpc_client.h +++ b/src/ray/rpc/grpc_client.h @@ -19,6 +19,7 @@ #include #include #include +#include #include #include "ray/common/grpc_util.h" @@ -97,21 +98,24 @@ class GrpcClient { public: GrpcClient(std::shared_ptr channel, ClientCallManager &call_manager, - bool use_tls = false) + std::string_view server_address) : client_call_manager_(call_manager), channel_(std::move(channel)), stub_(GrpcService::NewStub(channel_)), - use_tls_(use_tls) {} + skip_testing_intra_node_rpc_failure_( + ::RayConfig::instance().testing_rpc_failure_avoid_intra_node_failures() && + IsLocalHost(server_address, call_manager.GetLocalAddress())) {} GrpcClient(const std::string &address, const int port, ClientCallManager &call_manager, - bool use_tls = false, grpc::ChannelArguments channel_arguments = CreateDefaultChannelArguments()) : client_call_manager_(call_manager), channel_(BuildChannel(address, port, std::move(channel_arguments))), stub_(GrpcService::NewStub(channel_)), - use_tls_(use_tls) {} + skip_testing_intra_node_rpc_failure_( + ::RayConfig::instance().testing_rpc_failure_avoid_intra_node_failures() && + IsLocalHost(address, call_manager.GetLocalAddress())) {} /// Create a new `ClientCall` and send request. /// @@ -134,7 +138,9 @@ class GrpcClient { const ClientCallback &callback, std::string call_name = "UNKNOWN_RPC", int64_t method_timeout_ms = -1) { - testing::RpcFailure failure = testing::GetRpcFailure(call_name); + testing::RpcFailure failure = skip_testing_intra_node_rpc_failure_ + ? testing::RpcFailure::None + : testing::GetRpcFailure(call_name); if (failure == testing::RpcFailure::Request) { // Simulate the case where the PRC fails before server receives // the request. @@ -193,8 +199,7 @@ class GrpcClient { std::unique_ptr stub_; /// Whether CallMethod is invoked. std::atomic call_method_invoked_ = false; - /// Whether to use TLS. - bool use_tls_; + bool skip_testing_intra_node_rpc_failure_ = false; }; } // namespace rpc diff --git a/src/ray/rpc/tests/grpc_server_client_test.cc b/src/ray/rpc/tests/grpc_server_client_test.cc index b020b7b45b8b..f51a80b99f73 100644 --- a/src/ray/rpc/tests/grpc_server_client_test.cc +++ b/src/ray/rpc/tests/grpc_server_client_test.cc @@ -129,7 +129,8 @@ class TestGrpcServerClientFixture : public ::testing::Test { client_io_service_work_(client_io_service_.get_executor()); client_io_service_.run(); }); - client_call_manager_.reset(new ClientCallManager(client_io_service_, false)); + client_call_manager_.reset( + new ClientCallManager(client_io_service_, false, /*local_address=*/"")); grpc_client_.reset(new GrpcClient( "127.0.0.1", grpc_server_->GetPort(), *client_call_manager_)); } @@ -218,6 +219,7 @@ TEST_F(TestGrpcServerClientFixture, TestClientCallManagerTimeout) { client_call_manager_.reset(); client_call_manager_.reset(new ClientCallManager(client_io_service_, false, + /*local_address=*/"", ClusterID::Nil(), /*num_thread=*/1, /*call_timeout_ms=*/100)); @@ -253,6 +255,7 @@ TEST_F(TestGrpcServerClientFixture, TestClientDiedBeforeReply) { client_call_manager_.reset(); client_call_manager_.reset(new ClientCallManager(client_io_service_, false, + /*local_address=*/"", ClusterID::Nil(), /*num_thread=*/1, /*call_timeout_ms=*/100)); @@ -283,8 +286,8 @@ TEST_F(TestGrpcServerClientFixture, TestClientDiedBeforeReply) { std::this_thread::sleep_for(std::chrono::milliseconds(1000)); } // Reinit client with infinite timeout. - client_call_manager_.reset( - new ClientCallManager(client_io_service_, false, ClusterID::FromRandom())); + client_call_manager_.reset(new ClientCallManager( + client_io_service_, false, /*local_address=*/"", ClusterID::FromRandom())); grpc_client_.reset(new GrpcClient( "127.0.0.1", grpc_server_->GetPort(), *client_call_manager_)); // Send again, this request should be replied. If any leaking happened, this call won't diff --git a/src/ray/rpc/tests/metrics_agent_client_test.cc b/src/ray/rpc/tests/metrics_agent_client_test.cc index 114252116794..59d5374fd70d 100644 --- a/src/ray/rpc/tests/metrics_agent_client_test.cc +++ b/src/ray/rpc/tests/metrics_agent_client_test.cc @@ -60,7 +60,8 @@ class TestableMetricsAgentClientImpl : public MetricsAgentClientImpl { class MetricsAgentClientTest : public ::testing::Test { protected: void SetUp() override { - client_call_manager_ = std::make_unique(io_service_, true); + client_call_manager_ = std::make_unique( + io_service_, /*record_stats=*/true, /*local_address=*/""); client_ = std::make_unique( "127.0.0.1", 8000, io_service_, *client_call_manager_, kCountToReturnOk); } diff --git a/src/ray/stats/metric_exporter.cc b/src/ray/stats/metric_exporter.cc index 76bc63abe4d8..40706986d365 100644 --- a/src/ray/stats/metric_exporter.cc +++ b/src/ray/stats/metric_exporter.cc @@ -14,7 +14,6 @@ #include "ray/stats/metric_exporter.h" -#include #include namespace ray { @@ -26,35 +25,33 @@ inline constexpr std::string_view kGrpcIoMetricsNamePrefix = "grpc.io/"; OpenCensusProtoExporter::OpenCensusProtoExporter(const int port, instrumented_io_context &io_service, - const std::string address, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size) - : client_call_manager_( - std::make_unique(io_service, /*record_stats=*/true)), + // The MetricsAgentClient is always started with 127.0.0.1 so we don't need to pass + // the local address to this client call manager to tell it's local. + : client_call_manager_(std::make_unique( + io_service, /*record_stats=*/true, /*local_address=*/"always local")), + client_(std::make_shared( + "127.0.0.1", port, io_service, *client_call_manager_)), worker_id_(worker_id), report_batch_size_(report_batch_size), // To make sure we're not overflowing Agent's set gRPC max message size, we will be // tracking target payload binary size and make sure it stays w/in 95% of the // threshold - proto_payload_size_threshold_bytes_((size_t)(max_grpc_payload_size * .95f)) { - absl::MutexLock l(&mu_); - client_ = std::make_shared( - address, port, io_service, *client_call_manager_); -} + proto_payload_size_threshold_bytes_( + static_cast(max_grpc_payload_size * .95f)) {} OpenCensusProtoExporter::OpenCensusProtoExporter( std::shared_ptr agent_client, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size) - - : worker_id_(worker_id), + : client_(std::move(agent_client)), + worker_id_(worker_id), report_batch_size_(report_batch_size), - proto_payload_size_threshold_bytes_((size_t)(max_grpc_payload_size * .95f)) { - absl::MutexLock l(&mu_); - client_ = std::move(agent_client); -} + proto_payload_size_threshold_bytes_( + static_cast(max_grpc_payload_size * .95f)) {} /// Hack. We want to add GlobalTags to all our metrics, but gRPC OpenCencus plugin is not /// configurable at all so we don't have chance to add our own tags. We use this hack to @@ -121,6 +118,8 @@ rpc::ReportOCMetricsRequest OpenCensusProtoExporter::createRequestProtoPayload() return request_proto; } +namespace { + opencensus::proto::metrics::v1::Metric *addMetricProtoPayload( const opencensus::stats::ViewDescriptor &view_descriptor, rpc::ReportOCMetricsRequest &request_proto) { @@ -135,7 +134,7 @@ opencensus::proto::metrics::v1::Metric *addMetricProtoPayload( metric_descriptor_proto->set_unit(measure_descriptor.units()); auto descriptor_type = opencensus::proto::metrics::v1::MetricDescriptor::UNSPECIFIED; - auto view_aggregation = view_descriptor.aggregation(); + const auto &view_aggregation = view_descriptor.aggregation(); switch (view_aggregation.type()) { case opencensus::stats::Aggregation::Type::kCount: descriptor_type = opencensus::proto::metrics::v1::MetricDescriptor::CUMULATIVE_INT64; @@ -162,6 +161,8 @@ opencensus::proto::metrics::v1::Metric *addMetricProtoPayload( return metric_proto; } +} // namespace + bool OpenCensusProtoExporter::handleBatchOverflows( const rpc::ReportOCMetricsRequest &request_proto, size_t cur_batch_size, @@ -216,8 +217,7 @@ void OpenCensusProtoExporter::ProcessMetricsData( if (flushed) { request_proto = createRequestProtoPayload(); // NOTE: We have to also overwrite current metric_proto_ptr to point to a new Metric - // proto - // payload inside new proto request payload + // proto payload inside new proto request payload metric_proto_ptr = addMetricProtoPayload(view_descriptor, request_proto); cur_batch_size = 0; next_payload_size_check_at = nextPayloadSizeCheckAt(cur_batch_size); @@ -281,8 +281,8 @@ void OpenCensusProtoExporter::ProcessMetricsData( RAY_LOG(FATAL) << "Unknown view data type."; break; } - // NOTE: We add global tags at the end to make sure these are not overridden by - // the emitter + // NOTE: We add global tags at the end to make sure these are not overridden by the + // emitter addGlobalTagsToGrpcMetric(*metric_proto_ptr); } diff --git a/src/ray/stats/metric_exporter.h b/src/ray/stats/metric_exporter.h index d638cca062c7..31a65bfad0ec 100644 --- a/src/ray/stats/metric_exporter.h +++ b/src/ray/stats/metric_exporter.h @@ -13,17 +13,14 @@ // limitations under the License. #pragma once + #include #include "absl/memory/memory.h" #include "opencensus/stats/stats.h" -#include "opencensus/tags/tag_key.h" #include "ray/common/asio/instrumented_io_context.h" #include "ray/common/id.h" #include "ray/rpc/metrics_agent_client.h" -#include "ray/rpc/rpc_callback_types.h" -#include "ray/stats/metric.h" -#include "ray/util/logging.h" namespace ray { namespace stats { @@ -36,31 +33,26 @@ class OpenCensusProtoExporter final : public opencensus::stats::StatsExporter::H public: OpenCensusProtoExporter(const int port, instrumented_io_context &io_service, - const std::string address, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size); + // This constructor is only used for testing OpenCensusProtoExporter(std::shared_ptr agent_client, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size); - ~OpenCensusProtoExporter() = default; + ~OpenCensusProtoExporter() override = default; static void Register(const int port, instrumented_io_context &io_service, - const std::string address, const WorkerID &worker_id, size_t report_batch_size, size_t max_grpc_payload_size) { opencensus::stats::StatsExporter::RegisterPushHandler( - absl::make_unique(port, - io_service, - address, - worker_id, - report_batch_size, - max_grpc_payload_size)); + absl::make_unique( + port, io_service, worker_id, report_batch_size, max_grpc_payload_size)); } void ExportViewData( diff --git a/src/ray/stats/stats.h b/src/ray/stats/stats.h index 6b4cab883ebb..3288b2ee9c85 100644 --- a/src/ray/stats/stats.h +++ b/src/ray/stats/stats.h @@ -101,7 +101,6 @@ static inline void Init( StatsConfig::instance().GetHarvestInterval()); OpenCensusProtoExporter::Register(metrics_agent_port, (*metrics_io_service), - "127.0.0.1", worker_id, metrics_report_batch_size, max_grpc_payload_size); diff --git a/src/ray/util/network_util.h b/src/ray/util/network_util.h index c10a062b6089..fdade587f0f1 100644 --- a/src/ray/util/network_util.h +++ b/src/ray/util/network_util.h @@ -79,4 +79,9 @@ ParseUrlEndpoint(const std::string &endpoint, int default_port = 0); /// } std::shared_ptr> ParseURL(std::string url); +inline bool IsLocalHost(std::string_view address, std::string_view host_address) { + return address == "127.0.0.1" || address == "::1" || address == "localhost" || + address == host_address; +} + } // namespace ray From 030818d8c5701765353fcd2c42d0d52a5b62d45d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 1 Oct 2025 00:42:19 -0700 Subject: [PATCH 1480/1566] [release test] fill in 3.10 ml legacy dependencies (#57081) and revert to use legacy dependency files. the use of dependency set overwrites gpu version of torchvision that are installed in the ray-ml images, and it is breaking release tests this partially reverts https://github.com/ray-project/ray/pull/56967/files Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/release/build.rayci.yml | 2 +- release/BUILD.bazel | 10 + .../byod/requirements_ml_byod_3.10.in | 1 + .../byod/requirements_ml_byod_3.10.txt | 4945 +++++++++++++++++ 4 files changed, 4957 insertions(+), 1 deletion(-) create mode 100644 release/ray_release/byod/requirements_ml_byod_3.10.txt diff --git a/.buildkite/release/build.rayci.yml b/.buildkite/release/build.rayci.yml index 977e6f02f913..ab840a7d584d 100644 --- a/.buildkite/release/build.rayci.yml +++ b/.buildkite/release/build.rayci.yml @@ -66,7 +66,7 @@ steps: PYTHON_VERSION: "{{matrix.python}}" CUDA_VERSION: "{{matrix.cuda}}" IMAGE_TYPE: "ray-ml" - REQUIREMENTS_FILE: "ray_ml_base_extra_testdeps_py{{matrix.python}}.lock" + REQUIREMENTS_FILE: "requirements_ml_byod_{{matrix.python}}.txt" depends_on: - ray-mlcudabaseextra diff --git a/release/BUILD.bazel b/release/BUILD.bazel index f051c4ac2b0e..cfb8d8d106bb 100644 --- a/release/BUILD.bazel +++ b/release/BUILD.bazel @@ -52,6 +52,16 @@ compile_pip_requirements( visibility = ["//visibility:private"], ) +compile_pip_requirements( + name = "requirements_ml_byod_3.10", + requirements_in = "ray_release/byod/requirements_ml_byod_3.10.in", + requirements_txt = "ray_release/byod/requirements_ml_byod_3.10.txt", + tags = [ + "team:ci", + ], + visibility = ["//visibility:private"], +) + test_srcs = glob(["**/*.py"]) #### diff --git a/release/ray_release/byod/requirements_ml_byod_3.10.in b/release/ray_release/byod/requirements_ml_byod_3.10.in index 11e457f2be93..255868a17627 100644 --- a/release/ray_release/byod/requirements_ml_byod_3.10.in +++ b/release/ray_release/byod/requirements_ml_byod_3.10.in @@ -1,5 +1,6 @@ # Python requirements to run release tests from anyscale byod (gpu type, python 3.9) +-c requirements_compiled.txt accelerate bitsandbytes boto3 diff --git a/release/ray_release/byod/requirements_ml_byod_3.10.txt b/release/ray_release/byod/requirements_ml_byod_3.10.txt new file mode 100644 index 000000000000..511ff41c4b3e --- /dev/null +++ b/release/ray_release/byod/requirements_ml_byod_3.10.txt @@ -0,0 +1,4945 @@ +# +# This file is autogenerated by pip-compile with python 3.10 +# To update, run: +# +# bazel run //release:requirements_ml_byod_3.10.update +# +--extra-index-url https://download.pytorch.org/whl/cpu +--find-links https://data.pyg.org/whl/torch-2.3.0+cpu.html + +absl-py==1.4.0 \ + --hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \ + --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d + # via + # -c release/ray_release/byod/requirements_compiled.txt + # rouge-score +accelerate==0.28.0 \ + --hash=sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5 \ + --hash=sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval + # peft +adagio==0.2.4 \ + --hash=sha256:c6c4d812f629fc3141284a0b3cfe483731b28da3a1b18f3d5498695ff87dcc12 \ + --hash=sha256:e58abc4539184a65faf9956957d3787616bedeb1303ac5c9b1a201d8af6b87d7 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fugue + # qpd +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +aiohttp==3.11.16 \ + --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ + --hash=sha256:0902e887b0e1d50424112f200eb9ae3dfed6c0d0a19fc60f633ae5a57c809656 \ + --hash=sha256:09b00dd520d88eac9d1768439a59ab3d145065c91a8fab97f900d1b5f802895e \ + --hash=sha256:0a2f451849e6b39e5c226803dcacfa9c7133e9825dcefd2f4e837a2ec5a3bb98 \ + --hash=sha256:0a950c2eb8ff17361abd8c85987fd6076d9f47d040ebffce67dce4993285e973 \ + --hash=sha256:0ad1fb47da60ae1ddfb316f0ff16d1f3b8e844d1a1e154641928ea0583d486ed \ + --hash=sha256:13ceac2c5cdcc3f64b9015710221ddf81c900c5febc505dbd8f810e770011540 \ + --hash=sha256:14461157d8426bcb40bd94deb0450a6fa16f05129f7da546090cebf8f3123b0f \ + --hash=sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8 \ + --hash=sha256:17ae4664031aadfbcb34fd40ffd90976671fa0c0286e6c4113989f78bebab37a \ + --hash=sha256:1ce63ae04719513dd2651202352a2beb9f67f55cb8490c40f056cea3c5c355ce \ + --hash=sha256:23a15727fbfccab973343b6d1b7181bfb0b4aa7ae280f36fd2f90f5476805682 \ + --hash=sha256:2540ddc83cc724b13d1838026f6a5ad178510953302a49e6d647f6e1de82bc34 \ + --hash=sha256:37dcee4906454ae377be5937ab2a66a9a88377b11dd7c072df7a7c142b63c37c \ + --hash=sha256:38bea84ee4fe24ebcc8edeb7b54bf20f06fd53ce4d2cc8b74344c5b9620597fd \ + --hash=sha256:3ab3367bb7f61ad18793fea2ef71f2d181c528c87948638366bf1de26e239183 \ + --hash=sha256:3ad1d59fd7114e6a08c4814983bb498f391c699f3c78712770077518cae63ff7 \ + --hash=sha256:3b4e6db8dc4879015b9955778cfb9881897339c8fab7b3676f8433f849425913 \ + --hash=sha256:3e061b09f6fa42997cf627307f220315e313ece74907d35776ec4373ed718b86 \ + --hash=sha256:42864e70a248f5f6a49fdaf417d9bc62d6e4d8ee9695b24c5916cb4bb666c802 \ + --hash=sha256:493910ceb2764f792db4dc6e8e4b375dae1b08f72e18e8f10f18b34ca17d0979 \ + --hash=sha256:4d0c970c0d602b1017e2067ff3b7dac41c98fef4f7472ec2ea26fd8a4e8c2149 \ + --hash=sha256:54eb3aead72a5c19fad07219acd882c1643a1027fbcdefac9b502c267242f955 \ + --hash=sha256:56a3443aca82abda0e07be2e1ecb76a050714faf2be84256dae291182ba59049 \ + --hash=sha256:576f5ca28d1b3276026f7df3ec841ae460e0fc3aac2a47cbf72eabcfc0f102e1 \ + --hash=sha256:58ede86453a6cf2d6ce40ef0ca15481677a66950e73b0a788917916f7e35a0bb \ + --hash=sha256:61c721764e41af907c9d16b6daa05a458f066015abd35923051be8705108ed17 \ + --hash=sha256:634d96869be6c4dc232fc503e03e40c42d32cfaa51712aee181e922e61d74814 \ + --hash=sha256:696ef00e8a1f0cec5e30640e64eca75d8e777933d1438f4facc9c0cdf288a810 \ + --hash=sha256:69a2cbd61788d26f8f1e626e188044834f37f6ae3f937bd9f08b65fc9d7e514e \ + --hash=sha256:6a792ce34b999fbe04a7a71a90c74f10c57ae4c51f65461a411faa70e154154e \ + --hash=sha256:6ac13b71761e49d5f9e4d05d33683bbafef753e876e8e5a7ef26e937dd766713 \ + --hash=sha256:6fdec0213244c39973674ca2a7f5435bf74369e7d4e104d6c7473c81c9bcc8c4 \ + --hash=sha256:72b1b03fb4655c1960403c131740755ec19c5898c82abd3961c364c2afd59fe7 \ + --hash=sha256:745f1ed5e2c687baefc3c5e7b4304e91bf3e2f32834d07baaee243e349624b24 \ + --hash=sha256:776c8e959a01e5e8321f1dec77964cb6101020a69d5a94cd3d34db6d555e01f7 \ + --hash=sha256:780df0d837276276226a1ff803f8d0fa5f8996c479aeef52eb040179f3156cbd \ + --hash=sha256:78e6e23b954644737e385befa0deb20233e2dfddf95dd11e9db752bdd2a294d3 \ + --hash=sha256:7951decace76a9271a1ef181b04aa77d3cc309a02a51d73826039003210bdc86 \ + --hash=sha256:7ba92a2d9ace559a0a14b03d87f47e021e4fa7681dc6970ebbc7b447c7d4b7cd \ + --hash=sha256:7f6428fee52d2bcf96a8aa7b62095b190ee341ab0e6b1bcf50c615d7966fd45b \ + --hash=sha256:87944bd16b7fe6160607f6a17808abd25f17f61ae1e26c47a491b970fb66d8cb \ + --hash=sha256:87a6e922b2b2401e0b0cf6b976b97f11ec7f136bfed445e16384fbf6fd5e8602 \ + --hash=sha256:8cb0688a8d81c63d716e867d59a9ccc389e97ac7037ebef904c2b89334407180 \ + --hash=sha256:8df6612df74409080575dca38a5237282865408016e65636a76a2eb9348c2567 \ + --hash=sha256:911a6e91d08bb2c72938bc17f0a2d97864c531536b7832abee6429d5296e5b27 \ + --hash=sha256:92b7ee222e2b903e0a4b329a9943d432b3767f2d5029dbe4ca59fb75223bbe2e \ + --hash=sha256:938f756c2b9374bbcc262a37eea521d8a0e6458162f2a9c26329cc87fdf06534 \ + --hash=sha256:9756d9b9d4547e091f99d554fbba0d2a920aab98caa82a8fb3d3d9bee3c9ae85 \ + --hash=sha256:98b88a2bf26965f2015a771381624dd4b0839034b70d406dc74fd8be4cc053e3 \ + --hash=sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50 \ + --hash=sha256:a2a450bcce4931b295fc0848f384834c3f9b00edfc2150baafb4488c27953de6 \ + --hash=sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489 \ + --hash=sha256:a5abcbba9f4b463a45c8ca8b7720891200658f6f46894f79517e6cd11f3405ca \ + --hash=sha256:a6db7458ab89c7d80bc1f4e930cc9df6edee2200127cfa6f6e080cf619eddfbd \ + --hash=sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133 \ + --hash=sha256:ad9509ffb2396483ceacb1eee9134724443ee45b92141105a4645857244aecc8 \ + --hash=sha256:bbcba75fe879ad6fd2e0d6a8d937f34a571f116a0e4db37df8079e738ea95c71 \ + --hash=sha256:c10d85e81d0b9ef87970ecbdbfaeec14a361a7fa947118817fcea8e45335fa46 \ + --hash=sha256:c15b2271c44da77ee9d822552201180779e5e942f3a71fb74e026bf6172ff287 \ + --hash=sha256:ca37057625693d097543bd88076ceebeb248291df9d6ca8481349efc0b05dcd0 \ + --hash=sha256:cc3a145479a76ad0ed646434d09216d33d08eef0d8c9a11f5ae5cdc37caa3540 \ + --hash=sha256:ccf10f16ab498d20e28bc2b5c1306e9c1512f2840f7b6a67000a517a4b37d5ee \ + --hash=sha256:cd464ba806e27ee24a91362ba3621bfc39dbbb8b79f2e1340201615197370f7c \ + --hash=sha256:d007aa39a52d62373bd23428ba4a2546eed0e7643d7bf2e41ddcefd54519842c \ + --hash=sha256:d0666afbe984f6933fe72cd1f1c3560d8c55880a0bdd728ad774006eb4241ecd \ + --hash=sha256:d07502cc14ecd64f52b2a74ebbc106893d9a9717120057ea9ea1fd6568a747e7 \ + --hash=sha256:d489d9778522fbd0f8d6a5c6e48e3514f11be81cb0a5954bdda06f7e1594b321 \ + --hash=sha256:df7db76400bf46ec6a0a73192b14c8295bdb9812053f4fe53f4e789f3ea66bbb \ + --hash=sha256:e3538bc9fe1b902bef51372462e3d7c96fce2b566642512138a480b7adc9d508 \ + --hash=sha256:e87fd812899aa78252866ae03a048e77bd11b80fb4878ce27c23cade239b42b2 \ + --hash=sha256:ecdb8173e6c7aa09eee342ac62e193e6904923bd232e76b4157ac0bfa670609f \ + --hash=sha256:f244b8e541f414664889e2c87cac11a07b918cb4b540c36f7ada7bfa76571ea2 \ + --hash=sha256:f4065145bf69de124accdd17ea5f4dc770da0a6a6e440c53f6e0a8c27b3e635c \ + --hash=sha256:f420bfe862fb357a6d76f2065447ef6f484bc489292ac91e29bc65d2d7a2c84d \ + --hash=sha256:f6ddd90d9fb4b501c97a4458f1c1720e42432c26cb76d28177c5b5ad4e332601 \ + --hash=sha256:fa73e8c2656a3653ae6c307b3f4e878a21f87859a9afab228280ddccd7369d71 \ + --hash=sha256:fadbb8f1d4140825069db3fedbbb843290fd5f5bc0a5dbd7eaf81d91bf1b003b \ + --hash=sha256:fb3d0cc5cdb926090748ea60172fa8a213cec728bd6c54eae18b96040fcd6227 \ + --hash=sha256:fb46bb0f24813e6cede6cc07b1961d4b04f331f7112a23b5e21f567da4ee50aa \ + --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fsspec + # gcsfs + # google-auth +aiosignal==1.3.1 \ + --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \ + --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +albucore==0.0.24 \ + --hash=sha256:adef6e434e50e22c2ee127b7a3e71f2e35fa088bcf54431e18970b62d97d0005 \ + --hash=sha256:f2cab5431fadf94abf87fd0c89d9f59046e49fe5de34afea8f89bc8390253746 + # via albumentations +albumentations==2.0.6 \ + --hash=sha256:1bbf94a9c4bd1f28c5cea71beb997ca7729a42d360ab915b6f73dda2c9289d8d \ + --hash=sha256:9c13b18e94250d2c16544c264f00bf3dc2ab3852c19c25c4f5123d79c11650f4 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +annotated-types==0.6.0 \ + --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43 \ + --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +antlr4-python3-runtime==4.11.1 \ + --hash=sha256:a53de701312f9bdacc5258a6872cd6c62b90d3a90ae25e494026f76267333b60 \ + --hash=sha256:ff1954eda1ca9072c02bf500387d0c86cb549bef4dbb3b64f39468b547ec5f6b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fugue-sql-antlr + # qpd +anyio==3.7.1 \ + --hash=sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780 \ + --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # starlette +appdirs==1.4.4 \ + --hash=sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41 \ + --hash=sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fs +argcomplete==3.3.0 \ + --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ + --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +asttokens==2.4.1 \ + --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ + --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +async-timeout==4.0.3 \ + --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ + --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +attrs==25.1.0 \ + --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ + --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # jsonlines + # jsonschema + # referencing +backcall==0.2.0 \ + --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ + --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +bitsandbytes==0.43.1 \ + --hash=sha256:52c1c7189a6ca006555a9663e544e75f40520a97a26e075411f9f9aca0771fcd \ + --hash=sha256:a81c826d576d6d691c7b4a7491c8fdc0f37f769795d6ca2e54afa605d2c260a3 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +boto==2.49.0 \ + --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ + --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin +boto3==1.29.7 \ + --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ + --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +botocore==1.32.7 \ + --hash=sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11 \ + --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 + # s3transfer +brotli==1.1.0 \ + --hash=sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208 \ + --hash=sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48 \ + --hash=sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354 \ + --hash=sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a \ + --hash=sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128 \ + --hash=sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c \ + --hash=sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088 \ + --hash=sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9 \ + --hash=sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a \ + --hash=sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3 \ + --hash=sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438 \ + --hash=sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578 \ + --hash=sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b \ + --hash=sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b \ + --hash=sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68 \ + --hash=sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d \ + --hash=sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd \ + --hash=sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409 \ + --hash=sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da \ + --hash=sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50 \ + --hash=sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0 \ + --hash=sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180 \ + --hash=sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d \ + --hash=sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112 \ + --hash=sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc \ + --hash=sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265 \ + --hash=sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327 \ + --hash=sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95 \ + --hash=sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd \ + --hash=sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914 \ + --hash=sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0 \ + --hash=sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a \ + --hash=sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7 \ + --hash=sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0 \ + --hash=sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451 \ + --hash=sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f \ + --hash=sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e \ + --hash=sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248 \ + --hash=sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91 \ + --hash=sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724 \ + --hash=sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966 \ + --hash=sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97 \ + --hash=sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d \ + --hash=sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf \ + --hash=sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac \ + --hash=sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951 \ + --hash=sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74 \ + --hash=sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60 \ + --hash=sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c \ + --hash=sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1 \ + --hash=sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8 \ + --hash=sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d \ + --hash=sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc \ + --hash=sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61 \ + --hash=sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460 \ + --hash=sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751 \ + --hash=sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9 \ + --hash=sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1 \ + --hash=sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474 \ + --hash=sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2 \ + --hash=sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6 \ + --hash=sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9 \ + --hash=sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2 \ + --hash=sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467 \ + --hash=sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619 \ + --hash=sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf \ + --hash=sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408 \ + --hash=sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579 \ + --hash=sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84 \ + --hash=sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b \ + --hash=sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59 \ + --hash=sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752 \ + --hash=sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80 \ + --hash=sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0 \ + --hash=sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2 \ + --hash=sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3 \ + --hash=sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64 \ + --hash=sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643 \ + --hash=sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e \ + --hash=sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985 \ + --hash=sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596 \ + --hash=sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2 \ + --hash=sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064 + # via geventhttpclient +cachetools==5.5.2 \ + --hash=sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4 \ + --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth +certifi==2025.1.31 \ + --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ + --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + # via + # -c release/ray_release/byod/requirements_compiled.txt + # geventhttpclient + # requests + # sentry-sdk +cffi==1.16.0 \ + --hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \ + --hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \ + --hash=sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417 \ + --hash=sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab \ + --hash=sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520 \ + --hash=sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36 \ + --hash=sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743 \ + --hash=sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8 \ + --hash=sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed \ + --hash=sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684 \ + --hash=sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56 \ + --hash=sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324 \ + --hash=sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d \ + --hash=sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235 \ + --hash=sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e \ + --hash=sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088 \ + --hash=sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000 \ + --hash=sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7 \ + --hash=sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e \ + --hash=sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673 \ + --hash=sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c \ + --hash=sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe \ + --hash=sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2 \ + --hash=sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098 \ + --hash=sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8 \ + --hash=sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a \ + --hash=sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0 \ + --hash=sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b \ + --hash=sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896 \ + --hash=sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e \ + --hash=sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9 \ + --hash=sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2 \ + --hash=sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b \ + --hash=sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6 \ + --hash=sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404 \ + --hash=sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f \ + --hash=sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0 \ + --hash=sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4 \ + --hash=sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc \ + --hash=sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936 \ + --hash=sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba \ + --hash=sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872 \ + --hash=sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb \ + --hash=sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614 \ + --hash=sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1 \ + --hash=sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d \ + --hash=sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969 \ + --hash=sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b \ + --hash=sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4 \ + --hash=sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627 \ + --hash=sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956 \ + --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # cryptography +chardet==5.2.0 \ + --hash=sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7 \ + --hash=sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970 + # via mbstrdecoder +charset-normalizer==3.3.2 \ + --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ + --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \ + --hash=sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786 \ + --hash=sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8 \ + --hash=sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09 \ + --hash=sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185 \ + --hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ + --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ + --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ + --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ + --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \ + --hash=sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3 \ + --hash=sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f \ + --hash=sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6 \ + --hash=sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8 \ + --hash=sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a \ + --hash=sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73 \ + --hash=sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc \ + --hash=sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714 \ + --hash=sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2 \ + --hash=sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc \ + --hash=sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce \ + --hash=sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d \ + --hash=sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e \ + --hash=sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6 \ + --hash=sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269 \ + --hash=sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96 \ + --hash=sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d \ + --hash=sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a \ + --hash=sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4 \ + --hash=sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77 \ + --hash=sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d \ + --hash=sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0 \ + --hash=sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed \ + --hash=sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068 \ + --hash=sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac \ + --hash=sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25 \ + --hash=sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8 \ + --hash=sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab \ + --hash=sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26 \ + --hash=sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2 \ + --hash=sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db \ + --hash=sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f \ + --hash=sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5 \ + --hash=sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99 \ + --hash=sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c \ + --hash=sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d \ + --hash=sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811 \ + --hash=sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa \ + --hash=sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a \ + --hash=sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03 \ + --hash=sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b \ + --hash=sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04 \ + --hash=sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c \ + --hash=sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001 \ + --hash=sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458 \ + --hash=sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389 \ + --hash=sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99 \ + --hash=sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985 \ + --hash=sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537 \ + --hash=sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238 \ + --hash=sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f \ + --hash=sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d \ + --hash=sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796 \ + --hash=sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a \ + --hash=sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143 \ + --hash=sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8 \ + --hash=sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c \ + --hash=sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5 \ + --hash=sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5 \ + --hash=sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711 \ + --hash=sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4 \ + --hash=sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6 \ + --hash=sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c \ + --hash=sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7 \ + --hash=sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4 \ + --hash=sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b \ + --hash=sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae \ + --hash=sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12 \ + --hash=sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c \ + --hash=sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae \ + --hash=sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8 \ + --hash=sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887 \ + --hash=sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b \ + --hash=sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4 \ + --hash=sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f \ + --hash=sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5 \ + --hash=sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33 \ + --hash=sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519 \ + --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # requests +click==8.1.7 \ + --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ + --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de + # via + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # nltk + # typer + # uvicorn + # wandb +cloudpickle==2.2.0 ; python_version < "3.12" \ + --hash=sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f \ + --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +cmake==3.30.0 \ + --hash=sha256:100da4b77c2133a426ec6bffc01efcbdd9c212665c0b9acaa20bcaf98dc75097 \ + --hash=sha256:23253f76f44f0f69cf18c8343e56184ea3ab51e837198db691fbdef1bf986455 \ + --hash=sha256:2c19c50ee12fb1fddb636401b60f301e873b1f0bc726968509556450496c26fb \ + --hash=sha256:4a981336efd0d97a02bab4aba90f989077516a42c2510a1ba216f1a5cc00656f \ + --hash=sha256:59b8491d54064bf734e709001b1f79b1356a4c6c016f78445d5c0516785d096b \ + --hash=sha256:968e00571f6c07f36b2226a8dbd63eeba4888bcc2f9f30b1dbd2673f75b98564 \ + --hash=sha256:9caf5839d041f3276596abf564267f7bbaf4b36731ad1f574f3d4c04d7f8c26b \ + --hash=sha256:a6960b4b9e91bbcd68fc1a0395306a0eab68981752e667d4dc1721d9ad895358 \ + --hash=sha256:aa9b483ff53804566909ec7ef8c25eaf4226c224756d731cb3dd28d9be2dea46 \ + --hash=sha256:b6b9b584ce226dfde4d419578a2ae542e72409655c0ea2c989d5f9bb688cf024 \ + --hash=sha256:bfb761c3dc275034d251494503e643dc8f23d15e8e6284eca1b2bfbde4634851 \ + --hash=sha256:cbe32916158e6ca2f45f6e1dc4578a99f5c9ab6cfc7e4f812fae284d54c4749d \ + --hash=sha256:cc343a5fd4b3013e313083fd3226f4599210560e4d72743faa98057e9f41ccea \ + --hash=sha256:d7c6265b3d066b25eaf07fc69b8672c28f531b59403cbabb864219f84098b378 \ + --hash=sha256:e123afb34f08e38e76cd3303d1cea166f15ec7acd48353b6fe9d1175b10b4553 \ + --hash=sha256:e6e3ab9d48d5bf5564840e8152bcfe41a9318b1fe95b1410f8cc1f15800ff2bf \ + --hash=sha256:fc9aba5cc8a631cbbe7a6b4b6b1f981346e70af35900459b4ac6a1b18f489568 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +colorama==0.4.6 \ + --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ + --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # sacrebleu + # tqdm-multiprocess +comm==0.2.0 \ + --hash=sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001 \ + --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +configargparse==1.7 \ + --hash=sha256:d249da6591465c6c26df64a9f73d2536e743be2f244eb3ebe61114af2f94f86b \ + --hash=sha256:e7067471884de5478c58a511e529f0f9bd1c66bfef1dea90935438d6c23306d1 + # via locust +contourpy==1.1.1 \ + --hash=sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6 \ + --hash=sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33 \ + --hash=sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8 \ + --hash=sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d \ + --hash=sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d \ + --hash=sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c \ + --hash=sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf \ + --hash=sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e \ + --hash=sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e \ + --hash=sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163 \ + --hash=sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532 \ + --hash=sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2 \ + --hash=sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8 \ + --hash=sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1 \ + --hash=sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b \ + --hash=sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9 \ + --hash=sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916 \ + --hash=sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23 \ + --hash=sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb \ + --hash=sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a \ + --hash=sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e \ + --hash=sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442 \ + --hash=sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684 \ + --hash=sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34 \ + --hash=sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d \ + --hash=sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d \ + --hash=sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9 \ + --hash=sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45 \ + --hash=sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718 \ + --hash=sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab \ + --hash=sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3 \ + --hash=sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae \ + --hash=sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb \ + --hash=sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5 \ + --hash=sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba \ + --hash=sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0 \ + --hash=sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217 \ + --hash=sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887 \ + --hash=sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887 \ + --hash=sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62 \ + --hash=sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431 \ + --hash=sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b \ + --hash=sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce \ + --hash=sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b \ + --hash=sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f \ + --hash=sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85 \ + --hash=sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e \ + --hash=sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7 \ + --hash=sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251 \ + --hash=sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970 \ + --hash=sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0 \ + --hash=sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +crc32c==2.3 \ + --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ + --hash=sha256:0c1f3e28b8aec8a0f7727337fafa31f0ace38e59e054c51fecb923535c6dc6e6 \ + --hash=sha256:17ce6c596ad0d53df52dcd72defb66984aeabd98fbefea7ba848a6b6bdece36a \ + --hash=sha256:1d334d51d395f78fb649e8442341da782e63d3f9552fcfbc040995d24d4b794d \ + --hash=sha256:250af144edce7850a35c618b4dd1bf56436e031560228c17a7c78bf29239ceb0 \ + --hash=sha256:255e35719c252ce7609cb3f1c5a045783a6e0d6d7b035d507ddd82d5194c236a \ + --hash=sha256:327e44184826cd1c72bcd4a9b2c4badfd29501333e158460c7d3ad8b7f066588 \ + --hash=sha256:32c573dd861933e2390932cc10e1b78d71ee7827ee4dfcec96e23cf007a1a6d3 \ + --hash=sha256:374d288cc1735932276bc65670db329dd9fe2af4ec323599dc40e1212b13985e \ + --hash=sha256:3f372a53e9cf2464421b82b41fb66d98f654284c8fc4363f51bb0f5485fdc2b4 \ + --hash=sha256:4323f56908b7e5cea039122aad039fcf750974b09e4f993244d4dddb24cab561 \ + --hash=sha256:47088e524a9ec2887ae0ec519d75df40f005debf9d52f10e688f27e7cc0d339c \ + --hash=sha256:4ab21f02c13dc5a0411838d0709cb4d24bcb865ea28b683b7403826c08d14e27 \ + --hash=sha256:4ac8738e9cd28948e40fb3a3c89a44660e4ad266f7726964200224e101f5c8ef \ + --hash=sha256:4d223e844ee61ac492f0197b62ccc2a9c23db15e4d2938e698fec6eded0daf15 \ + --hash=sha256:554bc2a9ccfa7c02bb8a5346fd546b65ed265965e7fea768c7f2681f2b68d6a0 \ + --hash=sha256:5612be1606eec55511ade38deec40c9f1c7647ec0407a4031e0a2e6e6a635f27 \ + --hash=sha256:5a13d41a29d3feea5ba87def9d4dccc3362139345a24997de33fad00b656622b \ + --hash=sha256:5aa6383c0a13a542c3f1eb82a02e29c1141e0a2bc63faedd0062d1c41649989f \ + --hash=sha256:5ddf91756d6275f497d0895b8875d1f1fdac6be08a5900f4123ede2c91cd1422 \ + --hash=sha256:5e076ae46ac0e4e28eb43932c5c0b8e1b8751bb7d1b0d239f18230aed7cca3bf \ + --hash=sha256:5f347244590f294eaea2e92546100bd56db926305e0603a0d57a88e59f86b308 \ + --hash=sha256:61479a60d5a2b3160a4ae17b37df119963a741fd61ca71d4792670cdf7d7ea41 \ + --hash=sha256:682974e2cfb199ebc4adc5eb4d493dbcf83812a031a8ecccae5a7b5bcade5d9f \ + --hash=sha256:6872d8728f30f2a13f95762801428cf92a7ee6f170c872be81a17b1549b69131 \ + --hash=sha256:6b7c71a3ae1511c42b7919e6116560c08ba89479ea249f281c5bfba2b619411d \ + --hash=sha256:7eb1fea3d9ec71f353a6c38648d074e722fff1f43c1998ae6088dbee324a1ca6 \ + --hash=sha256:7ec3d9257d0624fb74335f67592b6a30de5e0cfb60322ed8682e35820decac8f \ + --hash=sha256:8067ce072908626869b583700da6b4bfc9a538975d77232ae68a31d8af5f1ff6 \ + --hash=sha256:82942ed343e5c884b5c0c9aa6bb5bb47de0247df95ce5d154cc48744d5c2ffd4 \ + --hash=sha256:8363b553b33719b37fff46378a6e96106fd9232d2e043eebb6c6da46925c7663 \ + --hash=sha256:865bf66d86809971d4856e38085a4a15a7251b8e780f22ad52e12b50784dac25 \ + --hash=sha256:866d1cbe646bdef67fc225371da265f081809bcf238bf562d6874c97e7fcb0d6 \ + --hash=sha256:8948a9262d36e2aad3be74aac3ce7a1b090ab2361f7619b3f23418fa536f1b25 \ + --hash=sha256:896bda76db13f229c1126d5e384673f78e06685e70d76fff4c5a3f65b4068b4d \ + --hash=sha256:8ab9df0bd9bf10f3d5bd346321d48da8a28392b1f48f7a6fa3234acebe6ee448 \ + --hash=sha256:90c46644225dc7f71b4dd499ed71ada59d061fd60aa55233270d088ee8cfcd13 \ + --hash=sha256:9ce72a40c17636af97e37bad2f2c11a2e740f57d4051ef586c04d1aa83db8b38 \ + --hash=sha256:a2427a9196c2b8b1c27d7e31cc5c9fff13af0b1411ff1565459f65554990f055 \ + --hash=sha256:a423c098ceffbd70544d1de3e00eeb45ec4b8463ab5d8005389fbbf3243314d1 \ + --hash=sha256:a51ac079c44297bbf624a598cffe6f85bd0a5faf780fd75d2d5e531d42d427ef \ + --hash=sha256:a5560faa3f673183eb1e2fc2c1361cc9ab86865a1d5774baf61fec9ca6c1a696 \ + --hash=sha256:a7d568eb07473d9bc6fb413a4d3248265212c537b80d494ab884cc5316589110 \ + --hash=sha256:ad57917650af59c989b62184fc4604d6c5066fc030ced4c6e07a596000f1ab86 \ + --hash=sha256:ad83e4c78379cc3e22b760e9874bc57f91a9cfb85107ccba1c6442bc1a2e2a1c \ + --hash=sha256:b04c44ad7cde9c21ad426bdfa675ba7039db82a6961c99690f9d2ff2f034c892 \ + --hash=sha256:b917b73d810bcdbcd1461978ba55038dcf2bbc3b56704b0082d2f9b0d5edc7ad \ + --hash=sha256:c04a27ba3cbc7a9e34c77f402bd3a83442a2c7acd3897d2539b1a3321ed28a6a \ + --hash=sha256:c59c6ea67ab927b2ab958c7b01a6b17c9cad882e7a1da51b9c35fbc9874ff46a \ + --hash=sha256:c74d81a00972cbe65e27e99838b44ed5e04bced971e5bfa01c27a4bd17138442 \ + --hash=sha256:ca03d8d5b35a26e0d3eb8c7121de3e37a59042735029eabcf1c4b15343f82cdd \ + --hash=sha256:cea0fe7053e36a4809e5bf95989552f52c98bbc94dca9062fb5b8c976daa0f32 \ + --hash=sha256:d27116037f97a02f1a123ca82008ee993c28afe8590e047a6cd86aca33653cca \ + --hash=sha256:d82fa5bb0661a7a508e62730d4d9045f53d4ab6a9211b560a014f1d58a8337cb \ + --hash=sha256:dce1deda03c6dbe0f5ae6e3e0f8671caead64075fd19a61b1700d42a88af97c8 \ + --hash=sha256:dd9bc7e5599f5970fff1f9aa551639336a76d1bb1fb00f0b87704049df8ba035 \ + --hash=sha256:df19ab6ab3884a237388c7720b1fe617dd4893305f62383d0f96fc7980dfdf7c \ + --hash=sha256:e14f4d57e004fa5a6100ea3aeb9574bee6f95965a96a382154fa40aee1fdeb5e \ + --hash=sha256:e6e16d57b8103fee9fdecb38e908d9ceb70d2196bb932dba64bf7b570f44c0b9 \ + --hash=sha256:ed14214fcc1416e0dc63be4c88aad7f58e0f0cb2c22d578b861e8fc19d1b2d2f \ + --hash=sha256:ef1165f7f36edaae03fcf03f1ca3bdbf196a5255d656bfb17959ba0405a2c8ee \ + --hash=sha256:f1679f7f700f2aec3dbee4e357a2fdde53e2ec151dde4e0b52a9205fac273a90 \ + --hash=sha256:f524fd202472d041b9bddb4a51b5fff28767a9c69953dbcdeecc67ef65707c07 \ + --hash=sha256:f641a9bd24a309637cca6c119b8aabdfe6d41bab5ea630124ee9be7891e36ba1 \ + --hash=sha256:f9a070dbe10dac29c2f591a59300c37448e3c7a747b6ea18d4826b7c94a956bd \ + --hash=sha256:fac1b4248625acd65985378f6b34a00b73cfc9db5b8ccc73101744de2e3dfa66 \ + --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +crcmod==1.7 \ + --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +cryptography==44.0.3 ; sys_platform != "darwin" \ + --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ + --hash=sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43 \ + --hash=sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645 \ + --hash=sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8 \ + --hash=sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44 \ + --hash=sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d \ + --hash=sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f \ + --hash=sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d \ + --hash=sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54 \ + --hash=sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9 \ + --hash=sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137 \ + --hash=sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f \ + --hash=sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c \ + --hash=sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334 \ + --hash=sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c \ + --hash=sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b \ + --hash=sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2 \ + --hash=sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375 \ + --hash=sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88 \ + --hash=sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5 \ + --hash=sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647 \ + --hash=sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c \ + --hash=sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359 \ + --hash=sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5 \ + --hash=sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d \ + --hash=sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028 \ + --hash=sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01 \ + --hash=sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904 \ + --hash=sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d \ + --hash=sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93 \ + --hash=sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06 \ + --hash=sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff \ + --hash=sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76 \ + --hash=sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff \ + --hash=sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759 \ + --hash=sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4 \ + --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pyopenssl +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +dataproperty==1.0.1 \ + --hash=sha256:0b8b07d4fb6453fcf975b53d35dea41f3cfd69c9d79b5010c3cf224ff0407a7a \ + --hash=sha256:723e5729fa6e885e127a771a983ee1e0e34bb141aca4ffe1f0bfa7cde34650a4 + # via + # pytablewriter + # tabledata +datasets==3.6.0 \ + --hash=sha256:1b2bf43b19776e2787e181cfd329cb0ca1a358ea014780c3581e0f276375e041 \ + --hash=sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # evaluate + # lm-eval +decorator==5.1.1 \ + --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ + --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs + # ipython +decord==0.6.0 \ + --hash=sha256:02665d7c4f1193a330205a791bc128f7e108eb6ae5b67144437a02f700943bad \ + --hash=sha256:51997f20be8958e23b7c4061ba45d0efcd86bffd5fe81c695d0befee0d442976 \ + --hash=sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323 \ + --hash=sha256:9c20674964fb1490c677bd911d2023d2a09fec7a58a4bb0b7ddf1ccc269f107a \ + --hash=sha256:a0eb1258beade34dceb29d97856a7764d179db1b5182899b61874f3418a1abc8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +deepspeed==0.12.3 \ + --hash=sha256:dc8a0c261589856743c3b3e7bf9829eded2cc8b2464a40456c3a997ed3a01a08 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +diffusers==0.12.1 \ + --hash=sha256:9d1c078ebec37a1410a52b5dfb0fd9b32675c54f4ef8d13bdad5cfa130381db6 \ + --hash=sha256:baabdf8cc36dcc0e282dae750d43d8feaa4892aea986b606e5b33b7745a91d4e + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +dill==0.3.7 \ + --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ + --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate + # multiprocess + # petastorm +diskcache==5.6.3 \ + --hash=sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc \ + --hash=sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19 + # via petastorm +docker-pycreds==0.4.0 \ + --hash=sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4 \ + --hash=sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +evaluate==0.4.3 \ + --hash=sha256:3a5700cf83aabee9549264e1e5666f116367c61dbd4d38352015e859a5e2098d \ + --hash=sha256:47d8770bdea76e2c2ed0d40189273027d1a41ccea861bcc7ba12d30ec5d1e517 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval +exceptiongroup==1.2.2 \ + --hash=sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b \ + --hash=sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc + # via + # anyio + # pytest +executing==2.0.1 \ + --hash=sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147 \ + --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +fairscale==0.4.6 \ + --hash=sha256:9e8548ddb26b331d89340ed76ae9a0a51e50cc419d2b339bcbff62ca1a7712fc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +fastapi==0.115.12 \ + --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ + --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +fasteners==0.19 \ + --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ + --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-apitools + # gsutil +fastjsonschema==2.19.0 \ + --hash=sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e \ + --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # nbformat +filelock==3.17.0 \ + --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ + --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # datasets + # diffusers + # huggingface-hub + # torch + # transformers + # triton +flask==2.1.3 \ + --hash=sha256:15972e5017df0575c3d6c090ba168b6db90259e620ac8d7ea813a396bad5b6cb \ + --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # flask-basicauth + # flask-cors + # locust +flask-basicauth==0.2.0 \ + --hash=sha256:df5ebd489dc0914c224419da059d991eb72988a01cdd4b956d52932ce7d501ff + # via locust +flask-cors==4.0.0 \ + --hash=sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783 \ + --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # locust +fonttools==4.45.1 \ + --hash=sha256:03ed3bda541e86725f6b4e1b94213f13ed1ae51a5a1f167028534cedea38c010 \ + --hash=sha256:0dc7617d96b1e668eea9250e1c1fe62d0c78c3f69573ce7e3332cc40e6d84356 \ + --hash=sha256:105099968b58a5b4cef6f3eb409db8ea8578b302a9d05e23fecba1b8b0177b5f \ + --hash=sha256:1b9e9ad2bcded9a1431afaa57c8d3c39143ac1f050862d66bddd863c515464a2 \ + --hash=sha256:1f53a19dcdd5737440839b8394eeebb35da9ec8109f7926cb6456639b5b58e47 \ + --hash=sha256:21e96b99878348c74aa58059b8578d7586f9519cbcdadacf56486737038aa043 \ + --hash=sha256:2c980d60cd6ec1376206fe55013d166e5627ad0b149b5c81e74eaa913ab6134f \ + --hash=sha256:316cec50581e844c3ab69d7c82455b54c7cf18236b2f09e722faf665fbfcac58 \ + --hash=sha256:37cd1ced6efb3dd6fe82e9f9bf92fd74ac58a5aefc284045f59ecd517a5fb9ab \ + --hash=sha256:392d0e3cc23daee910193625f7cf1b387aff9dd5b6f1a5f4a925680acb6dcbc2 \ + --hash=sha256:3bdd7dfca8f6c9f4779384064027e8477ad6a037d6a327b09381f43e0247c6f3 \ + --hash=sha256:43a3d267334109ff849c37cf3629476b5feb392ef1d2e464a167b83de8cd599c \ + --hash=sha256:45fa321c458ea29224067700954ec44493ae869b47e7c5485a350a149a19fb53 \ + --hash=sha256:46eabddec12066829b8a1efe45ae552ba2f1796981ecf538d5f68284c354c589 \ + --hash=sha256:4b9544b1346d99848ac0e9b05b5d45ee703d7562fc4c9c48cf4b781de9632e57 \ + --hash=sha256:4ba17822a6681d06849078daaf6e03eccc9f467efe7c4c60280e28a78e8e5df9 \ + --hash=sha256:5a17706b9cc24b27721613fe5773d93331ab7f0ecaca9955aead89c6b843d3a7 \ + --hash=sha256:5cbf02cda8465b69769d07385f5d11e7bba19954e7787792f46fe679ec755ebb \ + --hash=sha256:6e441286d55fe7ec7c4fb36812bf914924813776ff514b744b510680fc2733f2 \ + --hash=sha256:6eb2c54f7a07c92108daabcf02caf31df97825738db02a28270633946bcda4d0 \ + --hash=sha256:777ba42b94a27bb7fb2b4082522fccfd345667c32a56011e1c3e105979af5b79 \ + --hash=sha256:794de93e83297db7b4943f2431e206d8b1ea69cb3ae14638a49cc50332bf0db8 \ + --hash=sha256:800e354e0c3afaeb8d9552769773d02f228e98c37b8cb03041157c3d0687cffc \ + --hash=sha256:847f3f49dd3423e5a678c098e2ba92c7f4955d4aab3044f6a507b0bb0ecb07e0 \ + --hash=sha256:8717db3e4895e4820ade64ea379187738827ee60748223cb0438ef044ee208c6 \ + --hash=sha256:8b07b857d4f9de3199a8c3d1b1bf2078c0f37447891ca1a8d9234106b9a27aff \ + --hash=sha256:8e1aefc2bf3c43e0f33f995f828a7bbeff4adc9393a7760b11456dbcf14388f6 \ + --hash=sha256:a12dee6523c02ca78aeedd0a5e12bfa9b7b29896350edd5241542897b072ae23 \ + --hash=sha256:a3c11d9687479f01eddef729aa737abcdea0a44fdaffb62a930a18892f186c9b \ + --hash=sha256:b6de2f0fcd3302fb82f94801002cb473959e998c14c24ec28234adb674aed345 \ + --hash=sha256:ba299f1fbaa2a1e33210aaaf6fa816d4059e4d3cfe2ae9871368d4ab548c1c6a \ + --hash=sha256:ba6c23591427844dfb0a13658f1718489de75de6a46b64234584c0d17573162d \ + --hash=sha256:c4f4a5870e3b56788fb196da8cf30d0dfd51a76dc3b907861d018165f76ae4c2 \ + --hash=sha256:cb472905da3049960e80fc1cf808231880d79727a8410e156bf3e5063a1c574f \ + --hash=sha256:cebcddbe9351b67166292b4f71ffdbfcce01ba4b07d4267824eb46b277aeb19a \ + --hash=sha256:e2277cba9f0b525e30de2a9ad3cb4219aa4bc697230c1645666b0deee9f914f0 \ + --hash=sha256:e29d5f298d616a93a4c5963682dc6cc8cc09f6d89cad2c29019fc5fb3b4d9472 \ + --hash=sha256:e3d24248221bd7151dfff0d88b1b5da02dccd7134bd576ce8888199827bbaa19 \ + --hash=sha256:e50f794d09df0675da8d9dbd7c66bfcab2f74a708343aabcad41936d26556891 \ + --hash=sha256:f22eb69996a0bd49f76bdefb30be54ce8dbb89a0d1246874d610f05c2aa2e69e \ + --hash=sha256:fb36e5f40191274a95938b40c0a1fa7f895e36935aea8709e1d6deff0b2d0d4f \ + --hash=sha256:ff6a698bdd435d24c379f6e8a54908cd9bb7dda23719084d56bf8c87709bf3bd + # via + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +frozenlist==1.4.1 \ + --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ + --hash=sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98 \ + --hash=sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad \ + --hash=sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5 \ + --hash=sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae \ + --hash=sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e \ + --hash=sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a \ + --hash=sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701 \ + --hash=sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d \ + --hash=sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6 \ + --hash=sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6 \ + --hash=sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106 \ + --hash=sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75 \ + --hash=sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868 \ + --hash=sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a \ + --hash=sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0 \ + --hash=sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1 \ + --hash=sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826 \ + --hash=sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec \ + --hash=sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6 \ + --hash=sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950 \ + --hash=sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19 \ + --hash=sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0 \ + --hash=sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8 \ + --hash=sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a \ + --hash=sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09 \ + --hash=sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86 \ + --hash=sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c \ + --hash=sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5 \ + --hash=sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b \ + --hash=sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b \ + --hash=sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d \ + --hash=sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0 \ + --hash=sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea \ + --hash=sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776 \ + --hash=sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a \ + --hash=sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897 \ + --hash=sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7 \ + --hash=sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09 \ + --hash=sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9 \ + --hash=sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe \ + --hash=sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd \ + --hash=sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742 \ + --hash=sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09 \ + --hash=sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0 \ + --hash=sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932 \ + --hash=sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1 \ + --hash=sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a \ + --hash=sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49 \ + --hash=sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d \ + --hash=sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7 \ + --hash=sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480 \ + --hash=sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89 \ + --hash=sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e \ + --hash=sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b \ + --hash=sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82 \ + --hash=sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb \ + --hash=sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068 \ + --hash=sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8 \ + --hash=sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b \ + --hash=sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb \ + --hash=sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2 \ + --hash=sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11 \ + --hash=sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b \ + --hash=sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc \ + --hash=sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0 \ + --hash=sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497 \ + --hash=sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17 \ + --hash=sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0 \ + --hash=sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2 \ + --hash=sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439 \ + --hash=sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5 \ + --hash=sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac \ + --hash=sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825 \ + --hash=sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887 \ + --hash=sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced \ + --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # aiosignal +fs==2.4.16 \ + --hash=sha256:660064febbccda264ae0b6bace80a8d1be9e089e0a5eb2427b7d517f9a91545c \ + --hash=sha256:ae97c7d51213f4b70b6a958292530289090de3a7e15841e108fbe144f069d313 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # triad +fsspec[http]==2023.12.1 \ + --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ + --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate + # gcsfs + # huggingface-hub + # modin + # petastorm + # pytorch-lightning + # torch + # triad +fugue==0.8.7 \ + --hash=sha256:4c56946de46083778cdd6ec5b91ac5d37a847164c80790771edc6832bb9a260d \ + --hash=sha256:d4dc16bac9850024109b999cd163a6ca4976bd0bf190a85730d91ff74737c3f2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +fugue-sql-antlr==0.2.0 \ + --hash=sha256:e15433aaf09502c5b0423019d9fa93e161172ceb08e7bd27af0175dadf3cf552 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +future==1.0.0 \ + --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ + --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +gcs-oauth2-boto-plugin==3.0 \ + --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +gcsfs==2023.12.1 \ + --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ + --hash=sha256:e86cc583fdf879e5ea2f87bab61738d26ec7e8972762a1e6c6ab758b1e1af99c + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +gevent==24.2.1 \ + --hash=sha256:03aa5879acd6b7076f6a2a307410fb1e0d288b84b03cdfd8c74db8b4bc882fc5 \ + --hash=sha256:117e5837bc74a1673605fb53f8bfe22feb6e5afa411f524c835b2ddf768db0de \ + --hash=sha256:141a2b24ad14f7b9576965c0c84927fc85f824a9bb19f6ec1e61e845d87c9cd8 \ + --hash=sha256:14532a67f7cb29fb055a0e9b39f16b88ed22c66b96641df8c04bdc38c26b9ea5 \ + --hash=sha256:1dffb395e500613e0452b9503153f8f7ba587c67dd4a85fc7cd7aa7430cb02cc \ + --hash=sha256:2955eea9c44c842c626feebf4459c42ce168685aa99594e049d03bedf53c2800 \ + --hash=sha256:2ae3a25ecce0a5b0cd0808ab716bfca180230112bb4bc89b46ae0061d62d4afe \ + --hash=sha256:2e9ac06f225b696cdedbb22f9e805e2dd87bf82e8fa5e17756f94e88a9d37cf7 \ + --hash=sha256:368a277bd9278ddb0fde308e6a43f544222d76ed0c4166e0d9f6b036586819d9 \ + --hash=sha256:3adfb96637f44010be8abd1b5e73b5070f851b817a0b182e601202f20fa06533 \ + --hash=sha256:3d5325ccfadfd3dcf72ff88a92fb8fc0b56cacc7225f0f4b6dcf186c1a6eeabc \ + --hash=sha256:432fc76f680acf7cf188c2ee0f5d3ab73b63c1f03114c7cd8a34cebbe5aa2056 \ + --hash=sha256:44098038d5e2749b0784aabb27f1fcbb3f43edebedf64d0af0d26955611be8d6 \ + --hash=sha256:5a1df555431f5cd5cc189a6ee3544d24f8c52f2529134685f1e878c4972ab026 \ + --hash=sha256:6c47ae7d1174617b3509f5d884935e788f325eb8f1a7efc95d295c68d83cce40 \ + --hash=sha256:6f947a9abc1a129858391b3d9334c45041c08a0f23d14333d5b844b6e5c17a07 \ + --hash=sha256:782a771424fe74bc7e75c228a1da671578c2ba4ddb2ca09b8f959abdf787331e \ + --hash=sha256:7899a38d0ae7e817e99adb217f586d0a4620e315e4de577444ebeeed2c5729be \ + --hash=sha256:7b00f8c9065de3ad226f7979154a7b27f3b9151c8055c162332369262fc025d8 \ + --hash=sha256:8f4b8e777d39013595a7740b4463e61b1cfe5f462f1b609b28fbc1e4c4ff01e5 \ + --hash=sha256:90cbac1ec05b305a1b90ede61ef73126afdeb5a804ae04480d6da12c56378df1 \ + --hash=sha256:918cdf8751b24986f915d743225ad6b702f83e1106e08a63b736e3a4c6ead789 \ + --hash=sha256:9202f22ef811053077d01f43cc02b4aaf4472792f9fd0f5081b0b05c926cca19 \ + --hash=sha256:94138682e68ec197db42ad7442d3cf9b328069c3ad8e4e5022e6b5cd3e7ffae5 \ + --hash=sha256:968581d1717bbcf170758580f5f97a2925854943c45a19be4d47299507db2eb7 \ + --hash=sha256:9d8d0642c63d453179058abc4143e30718b19a85cbf58c2744c9a63f06a1d388 \ + --hash=sha256:a7ceb59986456ce851160867ce4929edaffbd2f069ae25717150199f8e1548b8 \ + --hash=sha256:b9913c45d1be52d7a5db0c63977eebb51f68a2d5e6fd922d1d9b5e5fd758cc98 \ + --hash=sha256:bde283313daf0b34a8d1bab30325f5cb0f4e11b5869dbe5bc61f8fe09a8f66f3 \ + --hash=sha256:bf5b9c72b884c6f0c4ed26ef204ee1f768b9437330422492c319470954bc4cc7 \ + --hash=sha256:ca80b121bbec76d7794fcb45e65a7eca660a76cc1a104ed439cdbd7df5f0b060 \ + --hash=sha256:cdf66977a976d6a3cfb006afdf825d1482f84f7b81179db33941f2fc9673bb1d \ + --hash=sha256:d4faf846ed132fd7ebfbbf4fde588a62d21faa0faa06e6f468b7faa6f436b661 \ + --hash=sha256:d7f87c2c02e03d99b95cfa6f7a776409083a9e4d468912e18c7680437b29222c \ + --hash=sha256:dd23df885318391856415e20acfd51a985cba6919f0be78ed89f5db9ff3a31cb \ + --hash=sha256:f5de3c676e57177b38857f6e3cdfbe8f38d1cd754b63200c0615eaa31f514b4f \ + --hash=sha256:f5e8e8d60e18d5f7fd49983f0c4696deeddaf6e608fbab33397671e2fcc6cc91 \ + --hash=sha256:f7cac622e11b4253ac4536a654fe221249065d9a69feb6cdcd4d9af3503602e0 \ + --hash=sha256:f8a04cf0c5b7139bc6368b461257d4a757ea2fe89b3773e494d235b7dd51119f \ + --hash=sha256:f8bb35ce57a63c9a6896c71a285818a3922d8ca05d150fd1fe49a7f57287b836 \ + --hash=sha256:fbfdce91239fe306772faab57597186710d5699213f4df099d1612da7320d682 + # via + # geventhttpclient + # locust +geventhttpclient==2.3.1 \ + --hash=sha256:00675ba682fb7d19d659c14686fa8a52a65e3f301b56c2a4ee6333b380dd9467 \ + --hash=sha256:05a1bbdd43ae36bcc10b3dbfa0806aefc5033a91efecfddfe56159446a46ea71 \ + --hash=sha256:06e59d3397e63c65ecc7a7561a5289f0cf2e2c2252e29632741e792f57f5d124 \ + --hash=sha256:0d0972096a63b1ddaa73fa3dab2c7a136e3ab8bf7999a2f85a5dee851fa77cdd \ + --hash=sha256:2399e3d4e2fae8bbd91756189da6e9d84adf8f3eaace5eef0667874a705a29f8 \ + --hash=sha256:25d255383d3d6a6fbd643bb51ae1a7e4f6f7b0dbd5f3225b537d0bd0432eaf39 \ + --hash=sha256:265d9f31b4ac8f688eebef0bd4c814ffb37a16f769ad0c8c8b8c24a84db8eab5 \ + --hash=sha256:2de436a9d61dae877e4e811fb3e2594e2a1df1b18f4280878f318aef48a562b9 \ + --hash=sha256:321b73c73d73b85cfeff36b9b5ee04174ec8406fb3dadc129558a26ccb879360 \ + --hash=sha256:34107b506e2c40ec7784efa282469bf86888cacddced463dceeb58c201834897 \ + --hash=sha256:4436eef515b3e0c1d4a453ae32e047290e780a623c1eddb11026ae9d5fb03d42 \ + --hash=sha256:4890713433ca19b081f70b5f7ad258a0979ec3354f9538b50b3ad7d0a86f88de \ + --hash=sha256:4a374aad77c01539e786d0c7829bec2eba034ccd45733c1bf9811ad18d2a8ecd \ + --hash=sha256:4deaebc121036f7ea95430c2d0f80ab085b15280e6ab677a6360b70e57020e7f \ + --hash=sha256:4f843f81ee44ba4c553a1b3f73115e0ad8f00044023c24db29f5b1df3da08465 \ + --hash=sha256:50b54f67ba2087f4d9d2172065c5c5de0f0c7f865ac350116e5452de4be31444 \ + --hash=sha256:52c45d9f3dd9627844c12e9ca347258c7be585bed54046336220e25ea6eac155 \ + --hash=sha256:5d1cf7d8a4f8e15cc8fd7d88ac4cdb058d6274203a42587e594cc9f0850ac862 \ + --hash=sha256:5d51330a40ac9762879d0e296c279c1beae8cfa6484bb196ac829242c416b709 \ + --hash=sha256:5deb41c2f51247b4e568c14964f59d7b8e537eff51900564c88af3200004e678 \ + --hash=sha256:66c1e97460608304f400485ac099736fff3566d3d8db2038533d466f8cf5de5a \ + --hash=sha256:6b032a5cdb1721921f4cd36aad620af318263b462962cfb23d648cdb93aab232 \ + --hash=sha256:6ca50dd9761971d3557b897108933b34fb4a11533d52f0f2753840c740a2861a \ + --hash=sha256:76c367d175810facfe56281e516c9a5a4a191eff76641faaa30aa33882ed4b2f \ + --hash=sha256:77c1a2c6e3854bf87cd5588b95174640c8a881716bd07fa0d131d082270a6795 \ + --hash=sha256:7924e0883bc2b177cfe27aa65af6bb9dd57f3e26905c7675a2d1f3ef69df7cca \ + --hash=sha256:829d03c2a140edbe74ad1fb4f850384f585f3e06fc47cfe647d065412b93926f \ + --hash=sha256:83e22178b9480b0a95edf0053d4f30b717d0b696b3c262beabe6964d9c5224b1 \ + --hash=sha256:855ab1e145575769b180b57accb0573a77cd6a7392f40a6ef7bc9a4926ebd77b \ + --hash=sha256:8b599359779c2278018786c35d70664d441a7cd0d6baef2b2cd0d1685cf478ed \ + --hash=sha256:8ee6e741849c29e3129b1ec3828ac3a5e5dcb043402f852ea92c52334fb8cabf \ + --hash=sha256:97b072a282233384c1302a7dee88ad8bfedc916f06b1bc1da54f84980f1406a9 \ + --hash=sha256:994c543f156db7bce3bae15491a0e041eeb3f1cf467e0d1db0c161a900a90bec \ + --hash=sha256:9ddeb431836c2ef7fd33c505a06180dc907b474e0e8537a43ff12e12c9bf0307 \ + --hash=sha256:a364b30bec7a0a00dbe256e2b6807e4dc866bead7ac84aaa51ca5e2c3d15c258 \ + --hash=sha256:a58376d0d461fe0322ff2ad362553b437daee1eeb92b4c0e3b1ffef9e77defbe \ + --hash=sha256:ad0b507e354d2f398186dcb12fe526d0594e7c9387b514fb843f7a14fdf1729a \ + --hash=sha256:b40ddac8517c456818942c7812f555f84702105c82783238c9fcb8dc12675185 \ + --hash=sha256:b4beff505306aa9da5cdfe2f206b403ec7c8d06a22d6b7248365772858c4ee8c \ + --hash=sha256:b8ca7dcbe94cb563341087b00b6fbd0fdd70b2acc1b5d963f9ebbfbc1e5e2893 \ + --hash=sha256:bc9f2162d4e8cb86bb5322d99bfd552088a3eacd540a841298f06bb8bc1f1f03 \ + --hash=sha256:c071db313866c3d0510feb6c0f40ec086ccf7e4a845701b6316c82c06e8b9b29 \ + --hash=sha256:c31431e38df45b3c79bf3c9427c796adb8263d622bc6fa25e2f6ba916c2aad93 \ + --hash=sha256:c4624843c03a5337282a42247d987c2531193e57255ee307b36eeb4f243a0c21 \ + --hash=sha256:c6f1a56a66a90c4beae2f009b5e9d42db9a58ced165aa35441ace04d69cb7b37 \ + --hash=sha256:c9f1ef4ec048563cc621a47ff01a4f10048ff8b676d7a4d75e5433ed8e703e56 \ + --hash=sha256:cc34031905b2b31a80d88cd33d7e42b81812950e5304860ab6a65ee2803e2046 \ + --hash=sha256:ce2c7d18bac7ffdacc4a86cd490bea6136a7d1e1170f8624f2e3bbe3b189d5b8 \ + --hash=sha256:ce649d4e25c2d56023471df0bf1e8e2ab67dfe4ff12ce3e8fe7e6fae30cd672a \ + --hash=sha256:d3e33e87d0d5b9f5782c4e6d3cb7e3592fea41af52713137d04776df7646d71b \ + --hash=sha256:d614573621ba827c417786057e1e20e9f96c4f6b3878c55b1b7b54e1026693bc \ + --hash=sha256:da22ab7bf5af4ba3d07cffee6de448b42696e53e7ac1fe97ed289037733bf1c2 \ + --hash=sha256:ddcc3f0fdffd9a3801e1005b73026202cffed8199863fdef9315bea9a860a032 \ + --hash=sha256:e1c90abcc2735cd8dd2d2572a13da32f6625392dc04862decb5c6476a3ddee22 \ + --hash=sha256:ea77b67c186df90473416f4403839728f70ef6cf1689cec97b4f6bbde392a8a8 \ + --hash=sha256:f087af2ac439495b5388841d6f3c4de8d2573ca9870593d78f7b554aa5cfa7f5 \ + --hash=sha256:f0ae055b9ce1704f2ce72c0847df28f4e14dbb3eea79256cda6c909d82688ea3 \ + --hash=sha256:f10c62994f9052f23948c19de930b2d1f063240462c8bd7077c2b3290e61f4fa \ + --hash=sha256:f36f0c6ef88a27e60af8369d9c2189fe372c6f2943182a7568e0f2ad33bb69f1 \ + --hash=sha256:f440cc704f8a9869848a109b2c401805c17c070539b2014e7b884ecfc8591e33 \ + --hash=sha256:f82c454595a88a5e510ae0985711ef398386998b6f37d90fc30e9ff1a2001280 \ + --hash=sha256:fb0a9673074541ccda09a2423fa16f4528819ceb1ba19d252213f6aca7d4b44a \ + --hash=sha256:fe912c6456faab196b952adcd63e9353a0d5c8deb31c8d733d38f4f0ab22e359 + # via locust +gitdb==4.0.11 \ + --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \ + --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gitpython +gitpython==3.1.44 \ + --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ + --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +google-api-core==2.24.2 \ + --hash=sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9 \ + --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-core + # google-cloud-storage +google-apitools==0.5.32 \ + --hash=sha256:b78f74116558e0476e19501b5b4b2ac7c93261a69c5449c861ea95cbc853c688 \ + --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +google-auth[aiohttp]==2.23.4 \ + --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ + --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs + # google-api-core + # google-auth-oauthlib + # google-cloud-core + # google-cloud-storage + # gsutil +google-auth-oauthlib==1.0.0 \ + --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ + --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs +google-cloud-core==2.4.1 \ + --hash=sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073 \ + --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +google-cloud-storage==2.14.0 \ + --hash=sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e \ + --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcsfs +google-crc32c==1.5.0 \ + --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \ + --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \ + --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \ + --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \ + --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \ + --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \ + --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \ + --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \ + --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \ + --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \ + --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \ + --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \ + --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \ + --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \ + --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \ + --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \ + --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \ + --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \ + --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \ + --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \ + --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \ + --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \ + --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \ + --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \ + --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \ + --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \ + --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \ + --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \ + --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \ + --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \ + --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \ + --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \ + --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \ + --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \ + --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \ + --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \ + --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \ + --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \ + --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \ + --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \ + --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \ + --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \ + --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \ + --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \ + --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \ + --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \ + --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \ + --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \ + --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \ + --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \ + --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \ + --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \ + --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \ + --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \ + --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \ + --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \ + --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \ + --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \ + --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \ + --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \ + --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \ + --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \ + --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \ + --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \ + --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \ + --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \ + --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \ + --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage + # google-resumable-media +google-reauth==0.1.1 \ + --hash=sha256:cb39074488d74c8853074dde47368bbf8f739d4a4338b89aab696c895b6d8368 \ + --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +google-resumable-media==2.6.0 \ + --hash=sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7 \ + --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-cloud-storage +googleapis-common-protos==1.61.0 \ + --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ + --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +greenlet==3.0.1 \ + --hash=sha256:0a02d259510b3630f330c86557331a3b0e0c79dac3d166e449a39363beaae174 \ + --hash=sha256:0b6f9f8ca7093fd4433472fd99b5650f8a26dcd8ba410e14094c1e44cd3ceddd \ + --hash=sha256:100f78a29707ca1525ea47388cec8a049405147719f47ebf3895e7509c6446aa \ + --hash=sha256:1757936efea16e3f03db20efd0cd50a1c86b06734f9f7338a90c4ba85ec2ad5a \ + --hash=sha256:19075157a10055759066854a973b3d1325d964d498a805bb68a1f9af4aaef8ec \ + --hash=sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565 \ + --hash=sha256:20107edf7c2c3644c67c12205dc60b1bb11d26b2610b276f97d666110d1b511d \ + --hash=sha256:22f79120a24aeeae2b4471c711dcf4f8c736a2bb2fabad2a67ac9a55ea72523c \ + --hash=sha256:2847e5d7beedb8d614186962c3d774d40d3374d580d2cbdab7f184580a39d234 \ + --hash=sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d \ + --hash=sha256:329c5a2e5a0ee942f2992c5e3ff40be03e75f745f48847f118a3cfece7a28546 \ + --hash=sha256:337322096d92808f76ad26061a8f5fccb22b0809bea39212cd6c406f6a7060d2 \ + --hash=sha256:3fcc780ae8edbb1d050d920ab44790201f027d59fdbd21362340a85c79066a74 \ + --hash=sha256:41bdeeb552d814bcd7fb52172b304898a35818107cc8778b5101423c9017b3de \ + --hash=sha256:4eddd98afc726f8aee1948858aed9e6feeb1758889dfd869072d4465973f6bfd \ + --hash=sha256:52e93b28db27ae7d208748f45d2db8a7b6a380e0d703f099c949d0f0d80b70e9 \ + --hash=sha256:55d62807f1c5a1682075c62436702aaba941daa316e9161e4b6ccebbbf38bda3 \ + --hash=sha256:5805e71e5b570d490938d55552f5a9e10f477c19400c38bf1d5190d760691846 \ + --hash=sha256:599daf06ea59bfedbec564b1692b0166a0045f32b6f0933b0dd4df59a854caf2 \ + --hash=sha256:60d5772e8195f4e9ebf74046a9121bbb90090f6550f81d8956a05387ba139353 \ + --hash=sha256:696d8e7d82398e810f2b3622b24e87906763b6ebfd90e361e88eb85b0e554dc8 \ + --hash=sha256:6e6061bf1e9565c29002e3c601cf68569c450be7fc3f7336671af7ddb4657166 \ + --hash=sha256:80ac992f25d10aaebe1ee15df45ca0d7571d0f70b645c08ec68733fb7a020206 \ + --hash=sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b \ + --hash=sha256:85d2b77e7c9382f004b41d9c72c85537fac834fb141b0296942d52bf03fe4a3d \ + --hash=sha256:87c8ceb0cf8a5a51b8008b643844b7f4a8264a2c13fcbcd8a8316161725383fe \ + --hash=sha256:89ee2e967bd7ff85d84a2de09df10e021c9b38c7d91dead95b406ed6350c6997 \ + --hash=sha256:8bef097455dea90ffe855286926ae02d8faa335ed8e4067326257cb571fc1445 \ + --hash=sha256:8d11ebbd679e927593978aa44c10fc2092bc454b7d13fdc958d3e9d508aba7d0 \ + --hash=sha256:91e6c7db42638dc45cf2e13c73be16bf83179f7859b07cfc139518941320be96 \ + --hash=sha256:97e7ac860d64e2dcba5c5944cfc8fa9ea185cd84061c623536154d5a89237884 \ + --hash=sha256:990066bff27c4fcf3b69382b86f4c99b3652bab2a7e685d968cd4d0cfc6f67c6 \ + --hash=sha256:9fbc5b8f3dfe24784cee8ce0be3da2d8a79e46a276593db6868382d9c50d97b1 \ + --hash=sha256:ac4a39d1abae48184d420aa8e5e63efd1b75c8444dd95daa3e03f6c6310e9619 \ + --hash=sha256:b2c02d2ad98116e914d4f3155ffc905fd0c025d901ead3f6ed07385e19122c94 \ + --hash=sha256:b2d3337dcfaa99698aa2377c81c9ca72fcd89c07e7eb62ece3f23a3fe89b2ce4 \ + --hash=sha256:b489c36d1327868d207002391f662a1d163bdc8daf10ab2e5f6e41b9b96de3b1 \ + --hash=sha256:b641161c302efbb860ae6b081f406839a8b7d5573f20a455539823802c655f63 \ + --hash=sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd \ + --hash=sha256:b9934adbd0f6e476f0ecff3c94626529f344f57b38c9a541f87098710b18af0a \ + --hash=sha256:ce85c43ae54845272f6f9cd8320d034d7a946e9773c693b27d620edec825e376 \ + --hash=sha256:cf868e08690cb89360eebc73ba4be7fb461cfbc6168dd88e2fbbe6f31812cd57 \ + --hash=sha256:d2905ce1df400360463c772b55d8e2518d0e488a87cdea13dd2c71dcb2a1fa16 \ + --hash=sha256:d57e20ba591727da0c230ab2c3f200ac9d6d333860d85348816e1dca4cc4792e \ + --hash=sha256:d6a8c9d4f8692917a3dc7eb25a6fb337bff86909febe2f793ec1928cd97bedfc \ + --hash=sha256:d923ff276f1c1f9680d32832f8d6c040fe9306cbfb5d161b0911e9634be9ef0a \ + --hash=sha256:daa7197b43c707462f06d2c693ffdbb5991cbb8b80b5b984007de431493a319c \ + --hash=sha256:dbd4c177afb8a8d9ba348d925b0b67246147af806f0b104af4d24f144d461cd5 \ + --hash=sha256:dc4d815b794fd8868c4d67602692c21bf5293a75e4b607bb92a11e821e2b859a \ + --hash=sha256:e9d21aaa84557d64209af04ff48e0ad5e28c5cca67ce43444e939579d085da72 \ + --hash=sha256:ea6b8aa9e08eea388c5f7a276fabb1d4b6b9d6e4ceb12cc477c3d352001768a9 \ + --hash=sha256:eabe7090db68c981fca689299c2d116400b553f4b713266b130cfc9e2aa9c5a9 \ + --hash=sha256:f2f6d303f3dee132b322a14cd8765287b8f86cdc10d2cb6a6fae234ea488888e \ + --hash=sha256:f33f3258aae89da191c6ebaa3bc517c6c4cbc9b9f689e5d8452f7aedbb913fa8 \ + --hash=sha256:f7bfb769f7efa0eefcd039dd19d843a4fbfbac52f1878b1da2ed5793ec9b1a65 \ + --hash=sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064 \ + --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gevent +gsutil==5.27 \ + --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # uvicorn +hjson==3.1.0 \ + --hash=sha256:55af475a27cf83a7969c808399d7bccdec8fb836a07ddbd574587593b9cdcf75 \ + --hash=sha256:65713cdcf13214fb554eb8b4ef803419733f4f5e551047c9b711098ab7186b89 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +httplib2==0.20.4 \ + --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ + --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-apitools + # gsutil + # oauth2client +huggingface-hub==0.27.0 \ + --hash=sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81 \ + --hash=sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac + # via + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # datasets + # diffusers + # evaluate + # peft + # tokenizers + # transformers +idna==3.7 \ + --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ + --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # anyio + # requests + # yarl +importlib-metadata==6.11.0 \ + --hash=sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443 \ + --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers +iniconfig==2.0.0 \ + --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ + --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +ipython==8.12.3 \ + --hash=sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363 \ + --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +ipywidgets==8.1.3 \ + --hash=sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2 \ + --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +itsdangerous==2.1.2 \ + --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ + --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # flask +jedi==0.19.1 \ + --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ + --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +jinja2==3.1.6 \ + --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ + --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # fugue + # fugue-sql-antlr + # memray + # torch +jmespath==1.0.1 \ + --hash=sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980 \ + --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe + # via + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 + # botocore +joblib==1.2.0 \ + --hash=sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 \ + --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # nltk + # scikit-learn +jsonlines==4.0.0 \ + --hash=sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74 \ + --hash=sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55 + # via lm-eval +jsonschema==4.23.0 \ + --hash=sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4 \ + --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # nbformat +jsonschema-specifications==2024.10.1 \ + --hash=sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272 \ + --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema +jupyter-core==5.5.0 \ + --hash=sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3 \ + --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # nbformat +jupyterlab-widgets==3.0.11 \ + --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ + --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +jupytext==1.16.3 \ + --hash=sha256:1ebac990461dd9f477ff7feec9e3003fa1acc89f3c16ba01b73f79fd76f01a98 \ + --hash=sha256:870e0d7a716dcb1303df6ad1cec65e3315a20daedd808a55cb3dae2d56e4ed20 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +kiwisolver==1.4.5 \ + --hash=sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf \ + --hash=sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e \ + --hash=sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af \ + --hash=sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f \ + --hash=sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046 \ + --hash=sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3 \ + --hash=sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5 \ + --hash=sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71 \ + --hash=sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee \ + --hash=sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3 \ + --hash=sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9 \ + --hash=sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b \ + --hash=sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985 \ + --hash=sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea \ + --hash=sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16 \ + --hash=sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89 \ + --hash=sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c \ + --hash=sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9 \ + --hash=sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712 \ + --hash=sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342 \ + --hash=sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a \ + --hash=sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958 \ + --hash=sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d \ + --hash=sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a \ + --hash=sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130 \ + --hash=sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff \ + --hash=sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898 \ + --hash=sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b \ + --hash=sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f \ + --hash=sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265 \ + --hash=sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93 \ + --hash=sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929 \ + --hash=sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635 \ + --hash=sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709 \ + --hash=sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b \ + --hash=sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb \ + --hash=sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a \ + --hash=sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920 \ + --hash=sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e \ + --hash=sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544 \ + --hash=sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45 \ + --hash=sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390 \ + --hash=sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77 \ + --hash=sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355 \ + --hash=sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff \ + --hash=sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4 \ + --hash=sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7 \ + --hash=sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20 \ + --hash=sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c \ + --hash=sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162 \ + --hash=sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228 \ + --hash=sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437 \ + --hash=sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc \ + --hash=sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a \ + --hash=sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901 \ + --hash=sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4 \ + --hash=sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770 \ + --hash=sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525 \ + --hash=sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad \ + --hash=sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a \ + --hash=sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29 \ + --hash=sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90 \ + --hash=sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250 \ + --hash=sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d \ + --hash=sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3 \ + --hash=sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54 \ + --hash=sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f \ + --hash=sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1 \ + --hash=sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da \ + --hash=sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238 \ + --hash=sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa \ + --hash=sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523 \ + --hash=sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0 \ + --hash=sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205 \ + --hash=sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3 \ + --hash=sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4 \ + --hash=sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac \ + --hash=sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9 \ + --hash=sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb \ + --hash=sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced \ + --hash=sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd \ + --hash=sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0 \ + --hash=sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da \ + --hash=sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18 \ + --hash=sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9 \ + --hash=sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276 \ + --hash=sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333 \ + --hash=sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b \ + --hash=sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db \ + --hash=sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126 \ + --hash=sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9 \ + --hash=sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09 \ + --hash=sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0 \ + --hash=sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec \ + --hash=sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7 \ + --hash=sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff \ + --hash=sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9 \ + --hash=sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192 \ + --hash=sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8 \ + --hash=sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d \ + --hash=sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6 \ + --hash=sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797 \ + --hash=sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892 \ + --hash=sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # matplotlib +lightning-utilities==0.11.2 \ + --hash=sha256:541f471ed94e18a28d72879338c8c52e873bb46f4c47644d89228faeb6751159 \ + --hash=sha256:adf4cf9c5d912fe505db4729e51d1369c6927f3a8ac55a9dff895ce5c0da08d9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pytorch-lightning +llvmlite==0.42.0 \ + --hash=sha256:05cb7e9b6ce69165ce4d1b994fbdedca0c62492e537b0cc86141b6e2c78d5888 \ + --hash=sha256:08fa9ab02b0d0179c688a4216b8939138266519aaa0aa94f1195a8542faedb56 \ + --hash=sha256:3366938e1bf63d26c34fbfb4c8e8d2ded57d11e0567d5bb243d89aab1eb56098 \ + --hash=sha256:43d65cc4e206c2e902c1004dd5418417c4efa6c1d04df05c6c5675a27e8ca90e \ + --hash=sha256:70f44ccc3c6220bd23e0ba698a63ec2a7d3205da0d848804807f37fc243e3f77 \ + --hash=sha256:763f8d8717a9073b9e0246998de89929071d15b47f254c10eef2310b9aac033d \ + --hash=sha256:7e0c4c11c8c2aa9b0701f91b799cb9134a6a6de51444eff5a9087fc7c1384275 \ + --hash=sha256:81e674c2fe85576e6c4474e8c7e7aba7901ac0196e864fe7985492b737dbab65 \ + --hash=sha256:8d90edf400b4ceb3a0e776b6c6e4656d05c7187c439587e06f86afceb66d2be5 \ + --hash=sha256:a78ab89f1924fc11482209f6799a7a3fc74ddc80425a7a3e0e8174af0e9e2301 \ + --hash=sha256:ae511caed28beaf1252dbaf5f40e663f533b79ceb408c874c01754cafabb9cbf \ + --hash=sha256:b2fce7d355068494d1e42202c7aff25d50c462584233013eb4470c33b995e3ee \ + --hash=sha256:bb3975787f13eb97629052edb5017f6c170eebc1c14a0433e8089e5db43bcce6 \ + --hash=sha256:bdd3888544538a94d7ec99e7c62a0cdd8833609c85f0c23fcb6c5c591aec60ad \ + --hash=sha256:c35da49666a21185d21b551fc3caf46a935d54d66969d32d72af109b5e7d2b6f \ + --hash=sha256:c5bece0cdf77f22379f19b1959ccd7aee518afa4afbd3656c6365865f84903f9 \ + --hash=sha256:d0936c2067a67fb8816c908d5457d63eba3e2b17e515c5fe00e5ee2bace06040 \ + --hash=sha256:d47494552559e00d81bfb836cf1c4d5a5062e54102cc5767d5aa1e77ccd2505c \ + --hash=sha256:d7599b65c7af7abbc978dbf345712c60fd596aa5670496561cc10e8a71cebfb2 \ + --hash=sha256:ebe66a86dc44634b59a3bc860c7b20d26d9aaffcd30364ebe8ba79161a9121f4 \ + --hash=sha256:f92b09243c0cc3f457da8b983f67bd8e1295d0f5b3746c7a1861d7a99403854a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # numba +lm-eval==0.4.0 \ + --hash=sha256:2dac56039b191c2dfb0011329ec9082e474006a15575db45468b88753923b34b + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +locust==2.18.0 \ + --hash=sha256:55036b2601ad7a2725885ceafb28f90390128a9a5dc631809da462f53b37cd56 \ + --hash=sha256:f8d668c2c33518c705664bc869791d58fc98ba8f1aadbf2335be36e4e681feae + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +lxml==4.9.4 \ + --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ + --hash=sha256:01bf1df1db327e748dcb152d17389cf6d0a8c5d533ef9bab781e9d5037619229 \ + --hash=sha256:056a17eaaf3da87a05523472ae84246f87ac2f29a53306466c22e60282e54ff8 \ + --hash=sha256:0a08c89b23117049ba171bf51d2f9c5f3abf507d65d016d6e0fa2f37e18c0fc5 \ + --hash=sha256:1343df4e2e6e51182aad12162b23b0a4b3fd77f17527a78c53f0f23573663545 \ + --hash=sha256:1449f9451cd53e0fd0a7ec2ff5ede4686add13ac7a7bfa6988ff6d75cff3ebe2 \ + --hash=sha256:16b9ec51cc2feab009e800f2c6327338d6ee4e752c76e95a35c4465e80390ccd \ + --hash=sha256:1f10f250430a4caf84115b1e0f23f3615566ca2369d1962f82bef40dd99cd81a \ + --hash=sha256:231142459d32779b209aa4b4d460b175cadd604fed856f25c1571a9d78114771 \ + --hash=sha256:232fd30903d3123be4c435fb5159938c6225ee8607b635a4d3fca847003134ba \ + --hash=sha256:23d891e5bdc12e2e506e7d225d6aa929e0a0368c9916c1fddefab88166e98b20 \ + --hash=sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b \ + --hash=sha256:273473d34462ae6e97c0f4e517bd1bf9588aa67a1d47d93f760a1282640e24ac \ + --hash=sha256:2bd9ac6e44f2db368ef8986f3989a4cad3de4cd55dbdda536e253000c801bcc7 \ + --hash=sha256:33714fcf5af4ff7e70a49731a7cc8fd9ce910b9ac194f66eaa18c3cc0a4c02be \ + --hash=sha256:359a8b09d712df27849e0bcb62c6a3404e780b274b0b7e4c39a88826d1926c28 \ + --hash=sha256:365005e8b0718ea6d64b374423e870648ab47c3a905356ab6e5a5ff03962b9a9 \ + --hash=sha256:389d2b2e543b27962990ab529ac6720c3dded588cc6d0f6557eec153305a3622 \ + --hash=sha256:3b505f2bbff50d261176e67be24e8909e54b5d9d08b12d4946344066d66b3e43 \ + --hash=sha256:3d74d4a3c4b8f7a1f676cedf8e84bcc57705a6d7925e6daef7a1e54ae543a197 \ + --hash=sha256:3f3f00a9061605725df1816f5713d10cd94636347ed651abdbc75828df302b20 \ + --hash=sha256:43498ea734ccdfb92e1886dfedaebeb81178a241d39a79d5351ba2b671bff2b2 \ + --hash=sha256:4855161013dfb2b762e02b3f4d4a21cc7c6aec13c69e3bffbf5022b3e708dd97 \ + --hash=sha256:4d973729ce04784906a19108054e1fd476bc85279a403ea1a72fdb051c76fa48 \ + --hash=sha256:4ece9cca4cd1c8ba889bfa67eae7f21d0d1a2e715b4d5045395113361e8c533d \ + --hash=sha256:506becdf2ecaebaf7f7995f776394fcc8bd8a78022772de66677c84fb02dd33d \ + --hash=sha256:520486f27f1d4ce9654154b4494cf9307b495527f3a2908ad4cb48e4f7ed7ef7 \ + --hash=sha256:5557461f83bb7cc718bc9ee1f7156d50e31747e5b38d79cf40f79ab1447afd2d \ + --hash=sha256:562778586949be7e0d7435fcb24aca4810913771f845d99145a6cee64d5b67ca \ + --hash=sha256:59bb5979f9941c61e907ee571732219fa4774d5a18f3fa5ff2df963f5dfaa6bc \ + --hash=sha256:606d445feeb0856c2b424405236a01c71af7c97e5fe42fbc778634faef2b47e4 \ + --hash=sha256:6197c3f3c0b960ad033b9b7d611db11285bb461fc6b802c1dd50d04ad715c225 \ + --hash=sha256:647459b23594f370c1c01768edaa0ba0959afc39caeeb793b43158bb9bb6a663 \ + --hash=sha256:647bfe88b1997d7ae8d45dabc7c868d8cb0c8412a6e730a7651050b8c7289cf2 \ + --hash=sha256:6bee9c2e501d835f91460b2c904bc359f8433e96799f5c2ff20feebd9bb1e590 \ + --hash=sha256:6dbdacf5752fbd78ccdb434698230c4f0f95df7dd956d5f205b5ed6911a1367c \ + --hash=sha256:701847a7aaefef121c5c0d855b2affa5f9bd45196ef00266724a80e439220e46 \ + --hash=sha256:786d6b57026e7e04d184313c1359ac3d68002c33e4b1042ca58c362f1d09ff58 \ + --hash=sha256:7b378847a09d6bd46047f5f3599cdc64fcb4cc5a5a2dd0a2af610361fbe77b16 \ + --hash=sha256:7d1d6c9e74c70ddf524e3c09d9dc0522aba9370708c2cb58680ea40174800013 \ + --hash=sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c \ + --hash=sha256:8671622256a0859f5089cbe0ce4693c2af407bc053dcc99aadff7f5310b4aa02 \ + --hash=sha256:88f7c383071981c74ec1998ba9b437659e4fd02a3c4a4d3efc16774eb108d0ec \ + --hash=sha256:8aecb5a7f6f7f8fe9cac0bcadd39efaca8bbf8d1bf242e9f175cbe4c925116c3 \ + --hash=sha256:91bbf398ac8bb7d65a5a52127407c05f75a18d7015a270fdd94bbcb04e65d573 \ + --hash=sha256:936e8880cc00f839aa4173f94466a8406a96ddce814651075f95837316369899 \ + --hash=sha256:953dd5481bd6252bd480d6ec431f61d7d87fdcbbb71b0d2bdcfc6ae00bb6fb10 \ + --hash=sha256:95ae6c5a196e2f239150aa4a479967351df7f44800c93e5a975ec726fef005e2 \ + --hash=sha256:9a2b5915c333e4364367140443b59f09feae42184459b913f0f41b9fed55794a \ + --hash=sha256:9ae6c3363261021144121427b1552b29e7b59de9d6a75bf51e03bc072efb3c37 \ + --hash=sha256:9b556596c49fa1232b0fff4b0e69b9d4083a502e60e404b44341e2f8fb7187f5 \ + --hash=sha256:9c131447768ed7bc05a02553d939e7f0e807e533441901dd504e217b76307745 \ + --hash=sha256:9d9d5726474cbbef279fd709008f91a49c4f758bec9c062dfbba88eab00e3ff9 \ + --hash=sha256:a1bdcbebd4e13446a14de4dd1825f1e778e099f17f79718b4aeaf2403624b0f7 \ + --hash=sha256:a602ed9bd2c7d85bd58592c28e101bd9ff9c718fbde06545a70945ffd5d11868 \ + --hash=sha256:a8edae5253efa75c2fc79a90068fe540b197d1c7ab5803b800fccfe240eed33c \ + --hash=sha256:a905affe76f1802edcac554e3ccf68188bea16546071d7583fb1b693f9cf756b \ + --hash=sha256:a9e7c6d89c77bb2770c9491d988f26a4b161d05c8ca58f63fb1f1b6b9a74be45 \ + --hash=sha256:aa9b5abd07f71b081a33115d9758ef6077924082055005808f68feccb27616bd \ + --hash=sha256:aaa5c173a26960fe67daa69aa93d6d6a1cd714a6eb13802d4e4bd1d24a530644 \ + --hash=sha256:ac7674d1638df129d9cb4503d20ffc3922bd463c865ef3cb412f2c926108e9a4 \ + --hash=sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e \ + --hash=sha256:b1980dbcaad634fe78e710c8587383e6e3f61dbe146bcbfd13a9c8ab2d7b1192 \ + --hash=sha256:bafa65e3acae612a7799ada439bd202403414ebe23f52e5b17f6ffc2eb98c2be \ + --hash=sha256:bb5bd6212eb0edfd1e8f254585290ea1dadc3687dd8fd5e2fd9a87c31915cdab \ + --hash=sha256:bbdd69e20fe2943b51e2841fc1e6a3c1de460d630f65bde12452d8c97209464d \ + --hash=sha256:bc354b1393dce46026ab13075f77b30e40b61b1a53e852e99d3cc5dd1af4bc85 \ + --hash=sha256:bcee502c649fa6351b44bb014b98c09cb00982a475a1912a9881ca28ab4f9cd9 \ + --hash=sha256:bdd9abccd0927673cffe601d2c6cdad1c9321bf3437a2f507d6b037ef91ea307 \ + --hash=sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd \ + --hash=sha256:c71b5b860c5215fdbaa56f715bc218e45a98477f816b46cfde4a84d25b13274e \ + --hash=sha256:c7721a3ef41591341388bb2265395ce522aba52f969d33dacd822da8f018aff8 \ + --hash=sha256:ca8e44b5ba3edb682ea4e6185b49661fc22b230cf811b9c13963c9f982d1d964 \ + --hash=sha256:cb53669442895763e61df5c995f0e8361b61662f26c1b04ee82899c2789c8f69 \ + --hash=sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683 \ + --hash=sha256:d3caa09e613ece43ac292fbed513a4bce170681a447d25ffcbc1b647d45a39c5 \ + --hash=sha256:d82411dbf4d3127b6cde7da0f9373e37ad3a43e89ef374965465928f01c2b979 \ + --hash=sha256:dbcb2dc07308453db428a95a4d03259bd8caea97d7f0776842299f2d00c72fc8 \ + --hash=sha256:dd4fda67f5faaef4f9ee5383435048ee3e11ad996901225ad7615bc92245bc8e \ + --hash=sha256:ddd92e18b783aeb86ad2132d84a4b795fc5ec612e3545c1b687e7747e66e2b53 \ + --hash=sha256:de362ac8bc962408ad8fae28f3967ce1a262b5d63ab8cefb42662566737f1dc7 \ + --hash=sha256:e214025e23db238805a600f1f37bf9f9a15413c7bf5f9d6ae194f84980c78722 \ + --hash=sha256:e8f9f93a23634cfafbad6e46ad7d09e0f4a25a2400e4a64b1b7b7c0fbaa06d9d \ + --hash=sha256:e96a1788f24d03e8d61679f9881a883ecdf9c445a38f9ae3f3f193ab6c591c66 \ + --hash=sha256:ec53a09aee61d45e7dbe7e91252ff0491b6b5fee3d85b2d45b173d8ab453efc1 \ + --hash=sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137 \ + --hash=sha256:f1faee2a831fe249e1bae9cbc68d3cd8a30f7e37851deee4d7962b17c410dd56 \ + --hash=sha256:f610d980e3fccf4394ab3806de6065682982f3d27c12d4ce3ee46a8183d64a6a \ + --hash=sha256:f6c35b2f87c004270fa2e703b872fcc984d714d430b305145c39d53074e1ffe0 \ + --hash=sha256:f836f39678cb47c9541f04d8ed4545719dc31ad850bf1832d6b4171e30d65d23 \ + --hash=sha256:f99768232f036b4776ce419d3244a04fe83784bce871b16d2c2e984c7fcea847 \ + --hash=sha256:fd814847901df6e8de13ce69b84c31fc9b3fb591224d6762d0b256d510cbf382 \ + --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # sacrebleu +markdown-it-py==2.2.0 \ + --hash=sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30 \ + --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext + # mdit-py-plugins + # rich +markupsafe==2.1.3 \ + --hash=sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e \ + --hash=sha256:0a4e4a1aff6c7ac4cd55792abf96c915634c2b97e3cc1c7129578aa68ebd754e \ + --hash=sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431 \ + --hash=sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686 \ + --hash=sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c \ + --hash=sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559 \ + --hash=sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc \ + --hash=sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb \ + --hash=sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939 \ + --hash=sha256:282c2cb35b5b673bbcadb33a585408104df04f14b2d9b01d4c345a3b92861c2c \ + --hash=sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0 \ + --hash=sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4 \ + --hash=sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9 \ + --hash=sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575 \ + --hash=sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba \ + --hash=sha256:42de32b22b6b804f42c5d98be4f7e5e977ecdd9ee9b660fda1a3edf03b11792d \ + --hash=sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd \ + --hash=sha256:504b320cd4b7eff6f968eddf81127112db685e81f7e36e75f9f84f0df46041c3 \ + --hash=sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00 \ + --hash=sha256:56d9f2ecac662ca1611d183feb03a3fa4406469dafe241673d521dd5ae92a155 \ + --hash=sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac \ + --hash=sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52 \ + --hash=sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f \ + --hash=sha256:69c0f17e9f5a7afdf2cc9fb2d1ce6aabdb3bafb7f38017c0b77862bcec2bbad8 \ + --hash=sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b \ + --hash=sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007 \ + --hash=sha256:787003c0ddb00500e49a10f2844fac87aa6ce977b90b0feaaf9de23c22508b24 \ + --hash=sha256:7ef3cb2ebbf91e330e3bb937efada0edd9003683db6b57bb108c4001f37a02ea \ + --hash=sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198 \ + --hash=sha256:8758846a7e80910096950b67071243da3e5a20ed2546e6392603c096778d48e0 \ + --hash=sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee \ + --hash=sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be \ + --hash=sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2 \ + --hash=sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1 \ + --hash=sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707 \ + --hash=sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6 \ + --hash=sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c \ + --hash=sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58 \ + --hash=sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823 \ + --hash=sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779 \ + --hash=sha256:ab4a0df41e7c16a1392727727e7998a467472d0ad65f3ad5e6e765015df08636 \ + --hash=sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c \ + --hash=sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad \ + --hash=sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee \ + --hash=sha256:b7ff0f54cb4ff66dd38bebd335a38e2c22c41a8ee45aa608efc890ac3e3931bc \ + --hash=sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2 \ + --hash=sha256:c011a4149cfbcf9f03994ec2edffcb8b1dc2d2aede7ca243746df97a5d41ce48 \ + --hash=sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7 \ + --hash=sha256:ca379055a47383d02a5400cb0d110cef0a776fc644cda797db0c5696cfd7e18e \ + --hash=sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b \ + --hash=sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa \ + --hash=sha256:ceb01949af7121f9fc39f7d27f91be8546f3fb112c608bc4029aef0bab86a2a5 \ + --hash=sha256:d080e0a5eb2529460b30190fcfcc4199bd7f827663f858a226a81bc27beaa97e \ + --hash=sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb \ + --hash=sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9 \ + --hash=sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57 \ + --hash=sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc \ + --hash=sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc \ + --hash=sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2 \ + --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jinja2 + # werkzeug +matplotlib==3.7.4 \ + --hash=sha256:0037d066cca1f4bda626c507cddeb6f7da8283bc6a214da2db13ff2162933c52 \ + --hash=sha256:0604880e4327114054199108b7390f987f4f40ee5ce728985836889e11a780ba \ + --hash=sha256:08372696b3bb45c563472a552a705bfa0942f0a8ffe084db8a4e8f9153fbdf9d \ + --hash=sha256:0c698b33f9a3f0b127a8e614c8fb4087563bb3caa9c9d95298722fa2400cdd3f \ + --hash=sha256:116ef0b43aa00ff69260b4cce39c571e4b8c6f893795b708303fa27d9b9d7548 \ + --hash=sha256:1707b20b25e90538c2ce8d4409e30f0ef1df4017cc65ad0439633492a973635b \ + --hash=sha256:1e6abcde6fc52475f9d6a12b9f1792aee171ce7818ef6df5d61cb0b82816e6e8 \ + --hash=sha256:24b8f28af3e766195c09b780b15aa9f6710192b415ae7866b9c03dee7ec86370 \ + --hash=sha256:286332f8f45f8ffde2d2119b9fdd42153dccd5025fa9f451b4a3b5c086e26da5 \ + --hash=sha256:32183d4be84189a4c52b4b8861434d427d9118db2cec32986f98ed6c02dcfbb6 \ + --hash=sha256:3640f33632beb3993b698b1be9d1c262b742761d6101f3c27b87b2185d25c875 \ + --hash=sha256:390920a3949906bc4b0216198d378f2a640c36c622e3584dd0c79a7c59ae9f50 \ + --hash=sha256:3c557d9165320dff3c5f2bb99bfa0b6813d3e626423ff71c40d6bc23b83c3339 \ + --hash=sha256:3fa193286712c3b6c3cfa5fe8a6bb563f8c52cc750006c782296e0807ce5e799 \ + --hash=sha256:44856632ebce88abd8efdc0a0dceec600418dcac06b72ae77af0019d260aa243 \ + --hash=sha256:55eec941a4743f0bd3e5b8ee180e36b7ea8e62f867bf2613937c9f01b9ac06a2 \ + --hash=sha256:5661c8639aded7d1bbf781373a359011cb1dd09199dee49043e9e68dd16f07ba \ + --hash=sha256:568574756127791903604e315c11aef9f255151e4cfe20ec603a70f9dda8e259 \ + --hash=sha256:5c9133f230945fe10652eb33e43642e933896194ef6a4f8d5e79bb722bdb2000 \ + --hash=sha256:62e094d8da26294634da9e7f1856beee3978752b1b530c8e1763d2faed60cc10 \ + --hash=sha256:632fc938c22117d4241411191cfb88ac264a4c0a9ac702244641ddf30f0d739c \ + --hash=sha256:798ff59022eeb276380ce9a73ba35d13c3d1499ab9b73d194fd07f1b0a41c304 \ + --hash=sha256:7a7709796ac59fe8debde68272388be6ed449c8971362eb5b60d280eac8dadde \ + --hash=sha256:7a9981b2a2dd9da06eca4ab5855d09b54b8ce7377c3e0e3957767b83219d652d \ + --hash=sha256:7cd4fef8187d1dd0d9dcfdbaa06ac326d396fb8c71c647129f0bf56835d77026 \ + --hash=sha256:7d479aac338195e2199a8cfc03c4f2f55914e6a120177edae79e0340a6406457 \ + --hash=sha256:7dfe6821f1944cb35603ff22e21510941bbcce7ccf96095beffaac890d39ce77 \ + --hash=sha256:81e1a7ac818000e8ac3ca696c3fdc501bc2d3adc89005e7b4e22ee5e9d51de98 \ + --hash=sha256:83859ac26839660ecd164ee8311272074250b915ac300f9b2eccc84410f8953b \ + --hash=sha256:8e6227ca8492baeef873cdd8e169a318efb5c3a25ce94e69727e7f964995b0b1 \ + --hash=sha256:ab16868714e5cc90ec8f7ff5d83d23bcd6559224d8e9cb5227c9f58748889fe8 \ + --hash=sha256:b167f54cb4654b210c9624ec7b54e2b3b8de68c93a14668937e7e53df60770ec \ + --hash=sha256:b1d70bc1ea1bf110bec64f4578de3e14947909a8887df4c1fd44492eca487955 \ + --hash=sha256:b71079239bd866bf56df023e5146de159cb0c7294e508830901f4d79e2d89385 \ + --hash=sha256:be3493bbcb4d255cb71de1f9050ac71682fce21a56089eadbcc8e21784cb12ee \ + --hash=sha256:bf91a42f6274a64cb41189120b620c02e574535ff6671fa836cade7701b06fbd \ + --hash=sha256:c83f49e795a5de6c168876eea723f5b88355202f9603c55977f5356213aa8280 \ + --hash=sha256:c90590d4b46458677d80bc3218f3f1ac11fc122baa9134e0cb5b3e8fc3714052 \ + --hash=sha256:ce163be048613b9d1962273708cc97e09ca05d37312e670d166cf332b80bbaff \ + --hash=sha256:de7c07069687be64fd9d119da3122ba13a8d399eccd3f844815f0dc78a870b2c \ + --hash=sha256:e4dfee00aa4bd291e08bb9461831c26ce0da85ca9781bb8794f2025c6e925281 \ + --hash=sha256:e680f49bb8052ba3b2698e370155d2b4afb49f9af1cc611a26579d5981e2852a \ + --hash=sha256:f59a70e2ec3212033ef6633ed07682da03f5249379722512a3a2a26a7d9a738e \ + --hash=sha256:f757e8b42841d6add0cb69b42497667f0d25a404dcd50bd923ec9904e38414c4 \ + --hash=sha256:f8c725d1dd2901b2e7ec6cd64165e00da2978cc23d4143cb9ef745bec88e6b04 \ + --hash=sha256:f8fc2df756105784e650605e024d36dc2d048d68e5c1b26df97ee25d1bd41f9f \ + --hash=sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +matplotlib-inline==0.1.6 \ + --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ + --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +mbstrdecoder==1.1.3 \ + --hash=sha256:d66c1ed3f2dc4e7c5d87cd44a75be10bc5af4250f95b38bbaedd7851308ce938 \ + --hash=sha256:dcfd2c759322eb44fe193a9e0b1b86c5b87f3ec5ea8e1bb43b3e9ae423f1e8fe + # via + # dataproperty + # pytablewriter + # typepy +mdit-py-plugins==0.3.5 \ + --hash=sha256:ca9a0714ea59a24b2b044a1831f48d817dd0c817e84339f20e7889f392d77c4e \ + --hash=sha256:eee0adc7195e5827e17e02d2a258a2ba159944a0748f59c5099a4a27f78fcf6a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext +mdurl==0.1.2 \ + --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ + --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba + # via + # -c release/ray_release/byod/requirements_compiled.txt + # markdown-it-py +memray==1.10.0 ; platform_system != "Windows" and sys_platform != "darwin" and platform_machine != "aarch64" \ + --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ + --hash=sha256:22f2a47871c172a0539bd72737bb6b294fc10c510464066b825d90fcd3bb4916 \ + --hash=sha256:23e8c402625cfb32d0e9edb5ec0945f3e5e54bc6b0c5699f6284302082b80bd4 \ + --hash=sha256:2ce59ef485db3634de98b3a026d2450fc0a875e3a58a9ea85f7a89098841defe \ + --hash=sha256:322ed0b69014a0969b777768d461a785203f81f9864386b666b5b26645d9c294 \ + --hash=sha256:38322e052b882790993412f1840517a51818aa55c47037f69915b2007f2c4cee \ + --hash=sha256:38393c86ce6d0a08e6ec0eb1401d49803b7c0c950c2565386751cdc81568cba8 \ + --hash=sha256:391aac6c9f744528d3186bc82d708a1acc83525778f804045d7c96f860f8ec98 \ + --hash=sha256:3a8bb7fbd8303c4f0017ba7faef6b88f904cda2931ed667cbf3b98f024b3bc44 \ + --hash=sha256:3c401c57f49c4c5f1fecaee1e746f537cdc6680da05fb963dc143bd08ee109bf \ + --hash=sha256:4eba29179772b4a2e440a065b320b03bc2e73fe2648bdf7936aa3b9a086fab4a \ + --hash=sha256:53a8f66af18b1f3bcf5c9f3c95ae4134dd675903a38f9d0e6341b7bca01b63d0 \ + --hash=sha256:566602b2143e06b3d592901d98c52ce4599e71aa2555146eeb5cec03506f9498 \ + --hash=sha256:663d463e89a64bae4a6b2f8c837d11a3d094834442d536a4165e1d31899a3500 \ + --hash=sha256:68bd8df023c8a32f44c11d997e5c536837e27c0955daf557d3a377edd55a1dd3 \ + --hash=sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67 \ + --hash=sha256:6b311e91203be71e1a0ce5e4f978137765bcb1045f3bf5646129c83c5b96ab3c \ + --hash=sha256:6fd13ef666c7fced9768d1cfabf71dc6dfa6724935a8dff463495ac2dc5e13a4 \ + --hash=sha256:8196c684f1be8fe423e5cdd2356d4255a2cb482a1f3e89612b70d2a2862cf5bb \ + --hash=sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc \ + --hash=sha256:85c32d6613d81b075f740e398c4d653e0803cd48e82c33dcd584c109d6782666 \ + --hash=sha256:898acd60f57a10dc5aaf1fd64aa2f821f0420114f3f60c3058083788603f173a \ + --hash=sha256:8d56f37a34125684746c13d24bd7a3fb17549b0bb355eb50969eb11e05e3ba62 \ + --hash=sha256:92c372cb262eddd23049f945ca9527f0e4cc7c40a070aade1802d066f680885b \ + --hash=sha256:95e563d9c976e429ad597ad2720d95cebbe8bac891a3082465439143e2740772 \ + --hash=sha256:9627184c926252c8f719c301f1fefe970f0d033c643a6448b93fed2889d1ea94 \ + --hash=sha256:a9e985fb7646b0475c303919d19211d2aa54e5a9e2cd2a102472299be5dbebd3 \ + --hash=sha256:b681519357d94f5f0857fbc6029e7c44d3f41436109e955a14fd312d8317bc35 \ + --hash=sha256:b75040f28e8678d0e9c4907d55c95cf26db8ef5adc9941a228f1b280a9efd9c0 \ + --hash=sha256:c3a14960838d89a91747885897d34134afb65883cc3b0ed7ff30fe1af00f9fe6 \ + --hash=sha256:c7aeb47174c42e99740a8e2b3b6fe0932c95d987258d48a746974ead19176c26 \ + --hash=sha256:ce22a887a585ef5020896de89ffc793e531b65ccc81fbafcc7886010c2c562b3 \ + --hash=sha256:cf6d683c4f8d25c6ad06ae18715f218983c5eb86803953615e902d632fdf6ec1 \ + --hash=sha256:e356af93e3b031c83957e9ac1a653f5aaba5df1e357dd17142f5ed19bb3dc660 \ + --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +modin==0.22.2 ; python_version < "3.12" \ + --hash=sha256:532fe0bfb2dcf06c0ad2d467721ef489fd58bb3ef7150bcf4a7ddd1069be1e4d \ + --hash=sha256:fa897dc59d5b9a8496be044185689fdd337b9f26cc81c4144b217a2a94d029bc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +monotonic==1.6 \ + --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ + --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gsutil +more-itertools==10.7.0 \ + --hash=sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3 \ + --hash=sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # openai-whisper +mpmath==1.3.0 \ + --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \ + --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # sympy +msgpack==1.0.7 \ + --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ + --hash=sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d \ + --hash=sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3 \ + --hash=sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672 \ + --hash=sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0 \ + --hash=sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9 \ + --hash=sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee \ + --hash=sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46 \ + --hash=sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524 \ + --hash=sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819 \ + --hash=sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc \ + --hash=sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc \ + --hash=sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1 \ + --hash=sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82 \ + --hash=sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81 \ + --hash=sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6 \ + --hash=sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d \ + --hash=sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2 \ + --hash=sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c \ + --hash=sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87 \ + --hash=sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84 \ + --hash=sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e \ + --hash=sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95 \ + --hash=sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f \ + --hash=sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b \ + --hash=sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93 \ + --hash=sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf \ + --hash=sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61 \ + --hash=sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c \ + --hash=sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8 \ + --hash=sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d \ + --hash=sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c \ + --hash=sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4 \ + --hash=sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba \ + --hash=sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415 \ + --hash=sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee \ + --hash=sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d \ + --hash=sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9 \ + --hash=sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075 \ + --hash=sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f \ + --hash=sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7 \ + --hash=sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681 \ + --hash=sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329 \ + --hash=sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1 \ + --hash=sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf \ + --hash=sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c \ + --hash=sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5 \ + --hash=sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b \ + --hash=sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5 \ + --hash=sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e \ + --hash=sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b \ + --hash=sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad \ + --hash=sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd \ + --hash=sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7 \ + --hash=sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002 \ + --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # locust +multidict==6.0.5 \ + --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ + --hash=sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c \ + --hash=sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29 \ + --hash=sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b \ + --hash=sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8 \ + --hash=sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7 \ + --hash=sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd \ + --hash=sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40 \ + --hash=sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6 \ + --hash=sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3 \ + --hash=sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c \ + --hash=sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9 \ + --hash=sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5 \ + --hash=sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae \ + --hash=sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442 \ + --hash=sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9 \ + --hash=sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc \ + --hash=sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c \ + --hash=sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea \ + --hash=sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5 \ + --hash=sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50 \ + --hash=sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182 \ + --hash=sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453 \ + --hash=sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e \ + --hash=sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600 \ + --hash=sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733 \ + --hash=sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda \ + --hash=sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241 \ + --hash=sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461 \ + --hash=sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e \ + --hash=sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e \ + --hash=sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b \ + --hash=sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e \ + --hash=sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7 \ + --hash=sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386 \ + --hash=sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd \ + --hash=sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9 \ + --hash=sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf \ + --hash=sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee \ + --hash=sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5 \ + --hash=sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a \ + --hash=sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271 \ + --hash=sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54 \ + --hash=sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4 \ + --hash=sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496 \ + --hash=sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb \ + --hash=sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319 \ + --hash=sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3 \ + --hash=sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f \ + --hash=sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527 \ + --hash=sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed \ + --hash=sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604 \ + --hash=sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef \ + --hash=sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8 \ + --hash=sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5 \ + --hash=sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5 \ + --hash=sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626 \ + --hash=sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c \ + --hash=sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d \ + --hash=sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c \ + --hash=sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc \ + --hash=sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc \ + --hash=sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b \ + --hash=sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38 \ + --hash=sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450 \ + --hash=sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1 \ + --hash=sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f \ + --hash=sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3 \ + --hash=sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755 \ + --hash=sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226 \ + --hash=sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a \ + --hash=sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046 \ + --hash=sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf \ + --hash=sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479 \ + --hash=sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e \ + --hash=sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1 \ + --hash=sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a \ + --hash=sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83 \ + --hash=sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929 \ + --hash=sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93 \ + --hash=sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a \ + --hash=sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c \ + --hash=sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44 \ + --hash=sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89 \ + --hash=sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba \ + --hash=sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e \ + --hash=sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da \ + --hash=sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24 \ + --hash=sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423 \ + --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +multiprocess==0.70.15 \ + --hash=sha256:0eac53214d664c49a34695e5824872db4006b1a465edd7459a251809c3773370 \ + --hash=sha256:134f89053d82c9ed3b73edd3a2531eb791e602d4f4156fc92a79259590bd9670 \ + --hash=sha256:18f9f2c7063346d1617bd1684fdcae8d33380ae96b99427260f562e1a1228b67 \ + --hash=sha256:1a51dd34096db47fb21fa2b839e615b051d51b97af9a67afbcdaa67186b44883 \ + --hash=sha256:20e024018c46d0d1602024c613007ac948f9754659e3853b0aa705e83f6931d8 \ + --hash=sha256:3e0953f5d52b4c76f1c973eaf8214554d146f2be5decb48e928e55c7a2d19338 \ + --hash=sha256:4271647bd8a49c28ecd6eb56a7fdbd3c212c45529ad5303b40b3c65fc6928e5f \ + --hash=sha256:73db2e7b32dcc7f9b0f075c2ffa45c90b6729d3f1805f27e88534c8d321a1be5 \ + --hash=sha256:7dd58e33235e83cf09d625e55cffd7b0f0eede7ee9223cdd666a87624f60c21a \ + --hash=sha256:aa36c7ed16f508091438687fe9baa393a7a8e206731d321e443745e743a0d4e5 \ + --hash=sha256:bee9afba476c91f9ebee7beeee0601face9eff67d822e893f9a893725fbd6316 \ + --hash=sha256:cf981fb998d6ec3208cb14f0cf2e9e80216e834f5d51fd09ebc937c32b960902 \ + --hash=sha256:e576062981c91f0fe8a463c3d52506e598dfc51320a8dd8d78b987dfca91c5db \ + --hash=sha256:e73f497e6696a0f5433ada2b3d599ae733b87a6e8b008e387c62ac9127add177 \ + --hash=sha256:f20eed3036c0ef477b07a4177cf7c1ba520d9a2677870a4f47fe026f0cd6787e \ + --hash=sha256:f7d4a1629bccb433114c3b4885f69eccc200994323c80f6feee73b0edc9199c5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate +nbformat==5.9.2 \ + --hash=sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9 \ + --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext +networkx==3.2.1 \ + --hash=sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6 \ + --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # torch +ninja==1.11.1.1 \ + --hash=sha256:18302d96a5467ea98b68e1cae1ae4b4fb2b2a56a82b955193c637557c7273dbd \ + --hash=sha256:185e0641bde601e53841525c4196278e9aaf4463758da6dd1e752c0a0f54136a \ + --hash=sha256:376889c76d87b95b5719fdd61dd7db193aa7fd4432e5d52d2e44e4c497bdbbee \ + --hash=sha256:3e0f9be5bb20d74d58c66cc1c414c3e6aeb45c35b0d0e41e8d739c2c0d57784f \ + --hash=sha256:73b93c14046447c7c5cc892433d4fae65d6364bec6685411cb97a8bcf815f93a \ + --hash=sha256:7563ce1d9fe6ed5af0b8dd9ab4a214bf4ff1f2f6fd6dc29f480981f0f8b8b249 \ + --hash=sha256:76482ba746a2618eecf89d5253c0d1e4f1da1270d41e9f54dfbd91831b0f6885 \ + --hash=sha256:84502ec98f02a037a169c4b0d5d86075eaf6afc55e1879003d6cab51ced2ea4b \ + --hash=sha256:95da904130bfa02ea74ff9c0116b4ad266174fafb1c707aa50212bc7859aebf1 \ + --hash=sha256:9d793b08dd857e38d0b6ffe9e6b7145d7c485a42dcfea04905ca0cdb6017cc3c \ + --hash=sha256:9df724344202b83018abb45cb1efc22efd337a1496514e7e6b3b59655be85205 \ + --hash=sha256:aad34a70ef15b12519946c5633344bc775a7656d789d9ed5fdb0d456383716ef \ + --hash=sha256:d491fc8d89cdcb416107c349ad1e3a735d4c4af5e1cb8f5f727baca6350fdaea \ + --hash=sha256:ecf80cf5afd09f14dcceff28cb3f11dc90fb97c999c89307aea435889cb66877 \ + --hash=sha256:fa2ba9d74acfdfbfbcf06fad1b8282de8a7a8c481d9dee45c859a8c93fcc1082 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +nltk==3.8.1 \ + --hash=sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3 \ + --hash=sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5 + # via rouge-score +numba==0.59.1 \ + --hash=sha256:0594b3dfb369fada1f8bb2e3045cd6c61a564c62e50cf1f86b4666bc721b3450 \ + --hash=sha256:0b77aecf52040de2a1eb1d7e314497b9e56fba17466c80b457b971a25bb1576d \ + --hash=sha256:0f68589740a8c38bb7dc1b938b55d1145244c8353078eea23895d4f82c8b9ec1 \ + --hash=sha256:1cce206a3b92836cdf26ef39d3a3242fec25e07f020cc4feec4c4a865e340569 \ + --hash=sha256:2801003caa263d1e8497fb84829a7ecfb61738a95f62bc05693fcf1733e978e4 \ + --hash=sha256:3476a4f641bfd58f35ead42f4dcaf5f132569c4647c6f1360ccf18ee4cda3990 \ + --hash=sha256:411df625372c77959570050e861981e9d196cc1da9aa62c3d6a836b5cc338966 \ + --hash=sha256:43727e7ad20b3ec23ee4fc642f5b61845c71f75dd2825b3c234390c6d8d64051 \ + --hash=sha256:4e0318ae729de6e5dbe64c75ead1a95eb01fabfe0e2ebed81ebf0344d32db0ae \ + --hash=sha256:525ef3f820931bdae95ee5379c670d5c97289c6520726bc6937a4a7d4230ba24 \ + --hash=sha256:5bf68f4d69dd3a9f26a9b23548fa23e3bcb9042e2935257b471d2a8d3c424b7f \ + --hash=sha256:649913a3758891c77c32e2d2a3bcbedf4a69f5fea276d11f9119677c45a422e8 \ + --hash=sha256:76f69132b96028d2774ed20415e8c528a34e3299a40581bae178f0994a2f370b \ + --hash=sha256:7d80bce4ef7e65bf895c29e3889ca75a29ee01da80266a01d34815918e365835 \ + --hash=sha256:8c8b4477763cb1fbd86a3be7050500229417bf60867c93e131fd2626edb02238 \ + --hash=sha256:8d51ccd7008a83105ad6a0082b6a2b70f1142dc7cfd76deb8c5a862367eb8c86 \ + --hash=sha256:9712808e4545270291d76b9a264839ac878c5eb7d8b6e02c970dc0ac29bc8187 \ + --hash=sha256:97385a7f12212c4f4bc28f648720a92514bee79d7063e40ef66c2d30600fd18e \ + --hash=sha256:990e395e44d192a12105eca3083b61307db7da10e093972ca285c85bef0963d6 \ + --hash=sha256:dd2842fac03be4e5324ebbbd4d2d0c8c0fc6e0df75c09477dd45b288a0777389 \ + --hash=sha256:f7ad1d217773e89a9845886401eaaab0a156a90aa2f179fdc125261fd1105096 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # openai-whisper + # statsforecast +numexpr==2.8.4 \ + --hash=sha256:059546e8f6283ccdb47c683101a890844f667fa6d56258d48ae2ecf1b3875957 \ + --hash=sha256:17ac9cfe6d0078c5fc06ba1c1bbd20b8783f28c6f475bbabd3cad53683075cab \ + --hash=sha256:3f039321d1c17962c33079987b675fb251b273dbec0f51aac0934e932446ccc3 \ + --hash=sha256:5538b30199bfc68886d2be18fcef3abd11d9271767a7a69ff3688defe782800a \ + --hash=sha256:655d84eb09adfee3c09ecf4a89a512225da153fdb7de13c447404b7d0523a9a7 \ + --hash=sha256:6931b1e9d4f629f43c14b21d44f3f77997298bea43790cfcdb4dd98804f90783 \ + --hash=sha256:6c368aa35ae9b18840e78b05f929d3a7b3abccdba9630a878c7db74ca2368339 \ + --hash=sha256:6ee9db7598dd4001138b482342b96d78110dd77cefc051ec75af3295604dde6a \ + --hash=sha256:77898fdf3da6bb96aa8a4759a8231d763a75d848b2f2e5c5279dad0b243c8dfe \ + --hash=sha256:7bca95f4473b444428061d4cda8e59ac564dc7dc6a1dea3015af9805c6bc2946 \ + --hash=sha256:7d71add384adc9119568d7e9ffa8a35b195decae81e0abf54a2b7779852f0637 \ + --hash=sha256:845a6aa0ed3e2a53239b89c1ebfa8cf052d3cc6e053c72805e8153300078c0b1 \ + --hash=sha256:90f12cc851240f7911a47c91aaf223dba753e98e46dff3017282e633602e76a7 \ + --hash=sha256:9400781553541f414f82eac056f2b4c965373650df9694286b9bd7e8d413f8d8 \ + --hash=sha256:9e34931089a6bafc77aaae21f37ad6594b98aa1085bb8b45d5b3cd038c3c17d9 \ + --hash=sha256:9f096d707290a6a00b6ffdaf581ee37331109fb7b6c8744e9ded7c779a48e517 \ + --hash=sha256:a38664e699526cb1687aefd9069e2b5b9387da7feac4545de446141f1ef86f46 \ + --hash=sha256:a6d2d7740ae83ba5f3531e83afc4b626daa71df1ef903970947903345c37bd03 \ + --hash=sha256:a75967d46b6bd56455dd32da6285e5ffabe155d0ee61eef685bbfb8dafb2e484 \ + --hash=sha256:b076db98ca65eeaf9bd224576e3ac84c05e451c0bd85b13664b7e5f7b62e2c70 \ + --hash=sha256:b318541bf3d8326682ebada087ba0050549a16d8b3fa260dd2585d73a83d20a7 \ + --hash=sha256:b96334fc1748e9ec4f93d5fadb1044089d73fb08208fdb8382ed77c893f0be01 \ + --hash=sha256:c867cc36cf815a3ec9122029874e00d8fbcef65035c4a5901e9b120dd5d626a2 \ + --hash=sha256:d5432537418d18691b9115d615d6daa17ee8275baef3edf1afbbf8bc69806147 \ + --hash=sha256:db93cf1842f068247de631bfc8af20118bf1f9447cd929b531595a5e0efc9346 \ + --hash=sha256:df35324666b693f13a016bc7957de7cc4d8801b746b81060b671bf78a52b9037 \ + --hash=sha256:df3a1f6b24214a1ab826e9c1c99edf1686c8e307547a9aef33910d586f626d01 \ + --hash=sha256:eaec59e9bf70ff05615c34a8b8d6c7bd042bd9f55465d7b495ea5436f45319d0 \ + --hash=sha256:f3a920bfac2645017110b87ddbe364c9c7a742870a4d2f6120b8786c25dc6db3 \ + --hash=sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # lm-eval +numpy==1.26.4 \ + --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ + --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \ + --hash=sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 \ + --hash=sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 \ + --hash=sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 \ + --hash=sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a \ + --hash=sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea \ + --hash=sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c \ + --hash=sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 \ + --hash=sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 \ + --hash=sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be \ + --hash=sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a \ + --hash=sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a \ + --hash=sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 \ + --hash=sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed \ + --hash=sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd \ + --hash=sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c \ + --hash=sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e \ + --hash=sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 \ + --hash=sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c \ + --hash=sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a \ + --hash=sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b \ + --hash=sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 \ + --hash=sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 \ + --hash=sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 \ + --hash=sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a \ + --hash=sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 \ + --hash=sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 \ + --hash=sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 \ + --hash=sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 \ + --hash=sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 \ + --hash=sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 \ + --hash=sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 \ + --hash=sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef \ + --hash=sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 \ + --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # accelerate + # albucore + # albumentations + # bitsandbytes + # contourpy + # datasets + # decord + # deepspeed + # diffusers + # evaluate + # matplotlib + # modin + # numba + # numexpr + # openai-whisper + # opencv-python-headless + # pandas + # patsy + # peft + # petastorm + # pytorch-lightning + # rouge-score + # sacrebleu + # scikit-learn + # scipy + # statsforecast + # statsmodels + # tensorboardx + # torchmetrics + # torchtext + # transformers + # triad + # utilsforecast + # xgboost +nvidia-cublas-cu12==12.1.3.1 \ + --hash=sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906 \ + --hash=sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728 + # via + # nvidia-cudnn-cu12 + # nvidia-cusolver-cu12 + # torch +nvidia-cuda-cupti-cu12==12.1.105 \ + --hash=sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4 \ + --hash=sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e + # via torch +nvidia-cuda-nvrtc-cu12==12.1.105 \ + --hash=sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed \ + --hash=sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2 + # via torch +nvidia-cuda-runtime-cu12==12.1.105 \ + --hash=sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40 \ + --hash=sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344 + # via torch +nvidia-cudnn-cu12==8.9.2.26 \ + --hash=sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9 + # via torch +nvidia-cufft-cu12==11.0.2.54 \ + --hash=sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56 \ + --hash=sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253 + # via torch +nvidia-curand-cu12==10.3.2.106 \ + --hash=sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a \ + --hash=sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0 + # via torch +nvidia-cusolver-cu12==11.4.5.107 \ + --hash=sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5 \ + --hash=sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd + # via torch +nvidia-cusparse-cu12==12.1.0.106 \ + --hash=sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a \ + --hash=sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c + # via + # nvidia-cusolver-cu12 + # torch +nvidia-nccl-cu12==2.20.5 \ + --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \ + --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # torch + # xgboost +nvidia-nvjitlink-cu12==12.9.86 \ + --hash=sha256:994a05ef08ef4b0b299829cde613a424382aff7efb08a7172c1fa616cc3af2ca \ + --hash=sha256:cc6fcec260ca843c10e34c936921a1c426b351753587fdd638e8cff7b16bb9db \ + --hash=sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9 + # via + # nvidia-cusolver-cu12 + # nvidia-cusparse-cu12 +nvidia-nvtx-cu12==12.1.105 \ + --hash=sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82 \ + --hash=sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5 + # via torch +oauth2client==4.1.3 \ + --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ + --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-apitools +oauthlib==3.2.2 \ + --hash=sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca \ + --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # requests-oauthlib +openai-whisper==20231117 \ + --hash=sha256:7af424181436f1800cc0b7d75cf40ede34e9ddf1ba4983a910832fcf4aade4a4 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +opencv-python-headless==4.9.0.80 \ + --hash=sha256:11e3849d83e6651d4e7699aadda9ec7ed7c38957cbbcb99db074f2a2d2de9670 \ + --hash=sha256:2ea8a2edc4db87841991b2fbab55fc07b97ecb602e0f47d5d485bd75cee17c1a \ + --hash=sha256:57ce2865e8fec431c6f97a81e9faaf23fa5be61011d0a75ccf47a3c0d65fa73d \ + --hash=sha256:71a4cd8cf7c37122901d8e81295db7fb188730e33a0e40039a4e59c1030b0958 \ + --hash=sha256:976656362d68d9f40a5c66f83901430538002465f7db59142784f3893918f3df \ + --hash=sha256:a8056c2cb37cd65dfcdf4153ca16f7362afcf3a50d600d6bb69c660fc61ee29c \ + --hash=sha256:e0ee54e27be493e8f7850847edae3128e18b540dac1d7b2e4001b8944e11e1c6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # albucore + # albumentations +openskill==6.0.0 \ + --hash=sha256:eee2d0b3c1648663a480cf4680654dfd12bdc749a96d611b1904e191f2632f62 \ + --hash=sha256:f89b18930c2befd580407e7cf80a480bc69c3b25d2841346be6d875c8c4bc92e + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +orjson==3.9.15 \ + --hash=sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a \ + --hash=sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262 \ + --hash=sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494 \ + --hash=sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde \ + --hash=sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab \ + --hash=sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5 \ + --hash=sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a \ + --hash=sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7 \ + --hash=sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda \ + --hash=sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180 \ + --hash=sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99 \ + --hash=sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04 \ + --hash=sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10 \ + --hash=sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2 \ + --hash=sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7 \ + --hash=sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b \ + --hash=sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7 \ + --hash=sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe \ + --hash=sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e \ + --hash=sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404 \ + --hash=sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a \ + --hash=sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c \ + --hash=sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1 \ + --hash=sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1 \ + --hash=sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7 \ + --hash=sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73 \ + --hash=sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f \ + --hash=sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1 \ + --hash=sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb \ + --hash=sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068 \ + --hash=sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061 \ + --hash=sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40 \ + --hash=sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58 \ + --hash=sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25 \ + --hash=sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8 \ + --hash=sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75 \ + --hash=sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb \ + --hash=sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d \ + --hash=sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e \ + --hash=sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2 \ + --hash=sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a \ + --hash=sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5 \ + --hash=sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357 \ + --hash=sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b \ + --hash=sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7 \ + --hash=sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790 \ + --hash=sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd \ + --hash=sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4 \ + --hash=sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6 \ + --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +packaging==23.0 \ + --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ + --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # datasets + # deepspeed + # evaluate + # fugue-sql-antlr + # huggingface-hub + # jupytext + # lightning-utilities + # matplotlib + # modin + # peft + # petastorm + # pytest + # pytorch-lightning + # statsmodels + # tensorboardx + # torchmetrics + # transformers + # typepy + # utilsforecast +pandas==1.5.3 ; python_version < "3.12" \ + --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \ + --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \ + --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \ + --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \ + --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \ + --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \ + --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \ + --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \ + --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \ + --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \ + --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \ + --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \ + --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \ + --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \ + --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \ + --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \ + --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \ + --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \ + --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \ + --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \ + --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \ + --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \ + --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \ + --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \ + --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \ + --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \ + --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate + # modin + # petastorm + # qpd + # statsforecast + # statsmodels + # triad + # utilsforecast +parso==0.8.3 \ + --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ + --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jedi +pathvalidate==3.2.0 \ + --hash=sha256:5e8378cf6712bff67fbe7a8307d99fa8c1a0cb28aa477056f8fc374f0dff24ad \ + --hash=sha256:cc593caa6299b22b37f228148257997e2fa850eea2daf7e4cc9205cef6908dee + # via pytablewriter +patsy==0.5.3 \ + --hash=sha256:7eb5349754ed6aa982af81f636479b1b8db9d5b1a6e957a6016ec0534b5c86b7 \ + --hash=sha256:bdc18001875e319bc91c812c1eb6a10be4bb13cb81eb763f466179dca3b67277 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # statsmodels +peft==0.11.1 \ + --hash=sha256:76f2d2a4c9e0644e2741465663b8a02097775e9725d26d7b41551e6f1e72e7dd \ + --hash=sha256:c1a04462e589a1305a06f7c118be0b8602b829f9bfc2104b5c6514c7678c2310 + # via lm-eval +petastorm==0.12.1 \ + --hash=sha256:25f7737bbbd8ebcbe6aac9546c50ee7e739902facd434c1dd2d4c6fe7c0acfe9 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +pexpect==4.8.0 \ + --hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \ + --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +pickleshare==0.7.5 \ + --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ + --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +pillow==10.3.0 ; platform_system != "Windows" \ + --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ + --hash=sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2 \ + --hash=sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb \ + --hash=sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d \ + --hash=sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa \ + --hash=sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3 \ + --hash=sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1 \ + --hash=sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a \ + --hash=sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd \ + --hash=sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8 \ + --hash=sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999 \ + --hash=sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599 \ + --hash=sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936 \ + --hash=sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375 \ + --hash=sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d \ + --hash=sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b \ + --hash=sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60 \ + --hash=sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572 \ + --hash=sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3 \ + --hash=sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced \ + --hash=sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f \ + --hash=sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b \ + --hash=sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19 \ + --hash=sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f \ + --hash=sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d \ + --hash=sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383 \ + --hash=sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795 \ + --hash=sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355 \ + --hash=sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57 \ + --hash=sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09 \ + --hash=sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b \ + --hash=sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462 \ + --hash=sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf \ + --hash=sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f \ + --hash=sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a \ + --hash=sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad \ + --hash=sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9 \ + --hash=sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d \ + --hash=sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45 \ + --hash=sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994 \ + --hash=sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d \ + --hash=sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338 \ + --hash=sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463 \ + --hash=sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451 \ + --hash=sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591 \ + --hash=sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c \ + --hash=sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd \ + --hash=sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32 \ + --hash=sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9 \ + --hash=sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf \ + --hash=sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5 \ + --hash=sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828 \ + --hash=sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3 \ + --hash=sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5 \ + --hash=sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2 \ + --hash=sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b \ + --hash=sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2 \ + --hash=sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475 \ + --hash=sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3 \ + --hash=sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb \ + --hash=sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef \ + --hash=sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015 \ + --hash=sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002 \ + --hash=sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170 \ + --hash=sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84 \ + --hash=sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57 \ + --hash=sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f \ + --hash=sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27 \ + --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers + # matplotlib +platformdirs==3.11.0 \ + --hash=sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3 \ + --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jupyter-core + # wandb +pluggy==1.3.0 \ + --hash=sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12 \ + --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pytest +portalocker==2.8.2 \ + --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ + --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # sacrebleu +prompt-toolkit==3.0.41 \ + --hash=sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0 \ + --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +propcache==0.3.0 \ + --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ + --hash=sha256:03acd9ff19021bd0567582ac88f821b66883e158274183b9e5586f678984f8fe \ + --hash=sha256:03c091bb752349402f23ee43bb2bff6bd80ccab7c9df6b88ad4322258d6960fc \ + --hash=sha256:07700939b2cbd67bfb3b76a12e1412405d71019df00ca5697ce75e5ef789d829 \ + --hash=sha256:0c3e893c4464ebd751b44ae76c12c5f5c1e4f6cbd6fbf67e3783cd93ad221863 \ + --hash=sha256:119e244ab40f70a98c91906d4c1f4c5f2e68bd0b14e7ab0a06922038fae8a20f \ + --hash=sha256:11ae6a8a01b8a4dc79093b5d3ca2c8a4436f5ee251a9840d7790dccbd96cb649 \ + --hash=sha256:15010f29fbed80e711db272909a074dc79858c6d28e2915704cfc487a8ac89c6 \ + --hash=sha256:19d36bb351ad5554ff20f2ae75f88ce205b0748c38b146c75628577020351e3c \ + --hash=sha256:1c8f7d896a16da9455f882870a507567d4f58c53504dc2d4b1e1d386dfe4588a \ + --hash=sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c \ + --hash=sha256:24c04f8fbf60094c531667b8207acbae54146661657a1b1be6d3ca7773b7a545 \ + --hash=sha256:2578541776769b500bada3f8a4eeaf944530516b6e90c089aa368266ed70c49e \ + --hash=sha256:26a67e5c04e3119594d8cfae517f4b9330c395df07ea65eab16f3d559b7068fe \ + --hash=sha256:2b975528998de037dfbc10144b8aed9b8dd5a99ec547f14d1cb7c5665a43f075 \ + --hash=sha256:2d15bc27163cd4df433e75f546b9ac31c1ba7b0b128bfb1b90df19082466ff57 \ + --hash=sha256:2d913d36bdaf368637b4f88d554fb9cb9d53d6920b9c5563846555938d5450bf \ + --hash=sha256:3302c5287e504d23bb0e64d2a921d1eb4a03fb93a0a0aa3b53de059f5a5d737d \ + --hash=sha256:36ca5e9a21822cc1746023e88f5c0af6fce3af3b85d4520efb1ce4221bed75cc \ + --hash=sha256:3b812b3cb6caacd072276ac0492d249f210006c57726b6484a1e1805b3cfeea0 \ + --hash=sha256:3c6ec957025bf32b15cbc6b67afe233c65b30005e4c55fe5768e4bb518d712f1 \ + --hash=sha256:41de3da5458edd5678b0f6ff66691507f9885f5fe6a0fb99a5d10d10c0fd2d64 \ + --hash=sha256:42924dc0c9d73e49908e35bbdec87adedd651ea24c53c29cac103ede0ea1d340 \ + --hash=sha256:4544699674faf66fb6b4473a1518ae4999c1b614f0b8297b1cef96bac25381db \ + --hash=sha256:46ed02532cb66612d42ae5c3929b5e98ae330ea0f3900bc66ec5f4862069519b \ + --hash=sha256:49ea05212a529c2caffe411e25a59308b07d6e10bf2505d77da72891f9a05641 \ + --hash=sha256:4fa0e7c9c3cf7c276d4f6ab9af8adddc127d04e0fcabede315904d2ff76db626 \ + --hash=sha256:507c5357a8d8b4593b97fb669c50598f4e6cccbbf77e22fa9598aba78292b4d7 \ + --hash=sha256:549722908de62aa0b47a78b90531c022fa6e139f9166be634f667ff45632cc92 \ + --hash=sha256:58e6d2a5a7cb3e5f166fd58e71e9a4ff504be9dc61b88167e75f835da5764d07 \ + --hash=sha256:5a16167118677d94bb48bfcd91e420088854eb0737b76ec374b91498fb77a70e \ + --hash=sha256:5d62c4f6706bff5d8a52fd51fec6069bef69e7202ed481486c0bc3874912c787 \ + --hash=sha256:5fa159dcee5dba00c1def3231c249cf261185189205073bde13797e57dd7540a \ + --hash=sha256:6032231d4a5abd67c7f71168fd64a47b6b451fbcb91c8397c2f7610e67683810 \ + --hash=sha256:63f26258a163c34542c24808f03d734b338da66ba91f410a703e505c8485791d \ + --hash=sha256:65a37714b8ad9aba5780325228598a5b16c47ba0f8aeb3dc0514701e4413d7c0 \ + --hash=sha256:67054e47c01b7b349b94ed0840ccae075449503cf1fdd0a1fdd98ab5ddc2667b \ + --hash=sha256:67dda3c7325691c2081510e92c561f465ba61b975f481735aefdfc845d2cd043 \ + --hash=sha256:6985a593417cdbc94c7f9c3403747335e450c1599da1647a5af76539672464d3 \ + --hash=sha256:6a1948df1bb1d56b5e7b0553c0fa04fd0e320997ae99689488201f19fa90d2e7 \ + --hash=sha256:6b5b7fd6ee7b54e01759f2044f936dcf7dea6e7585f35490f7ca0420fe723c0d \ + --hash=sha256:6c929916cbdb540d3407c66f19f73387f43e7c12fa318a66f64ac99da601bcdf \ + --hash=sha256:6f4d7a7c0aff92e8354cceca6fe223973ddf08401047920df0fcb24be2bd5138 \ + --hash=sha256:728af36011bb5d344c4fe4af79cfe186729efb649d2f8b395d1572fb088a996c \ + --hash=sha256:742840d1d0438eb7ea4280f3347598f507a199a35a08294afdcc560c3739989d \ + --hash=sha256:75e872573220d1ee2305b35c9813626e620768248425f58798413e9c39741f46 \ + --hash=sha256:794c3dd744fad478b6232289c866c25406ecdfc47e294618bdf1697e69bd64a6 \ + --hash=sha256:7c0fdbdf6983526e269e5a8d53b7ae3622dd6998468821d660d0daf72779aefa \ + --hash=sha256:7c5f5290799a3f6539cc5e6f474c3e5c5fbeba74a5e1e5be75587746a940d51e \ + --hash=sha256:7c6e7e4f9167fddc438cd653d826f2222222564daed4116a02a184b464d3ef05 \ + --hash=sha256:7cedd25e5f678f7738da38037435b340694ab34d424938041aa630d8bac42663 \ + --hash=sha256:7e2e068a83552ddf7a39a99488bcba05ac13454fb205c847674da0352602082f \ + --hash=sha256:8319293e85feadbbfe2150a5659dbc2ebc4afdeaf7d98936fb9a2f2ba0d4c35c \ + --hash=sha256:8526b0941ec5a40220fc4dfde76aed58808e2b309c03e9fa8e2260083ef7157f \ + --hash=sha256:8884ba1a0fe7210b775106b25850f5e5a9dc3c840d1ae9924ee6ea2eb3acbfe7 \ + --hash=sha256:8cb625bcb5add899cb8ba7bf716ec1d3e8f7cdea9b0713fa99eadf73b6d4986f \ + --hash=sha256:8d663fd71491dde7dfdfc899d13a067a94198e90695b4321084c6e450743b8c7 \ + --hash=sha256:8ee1983728964d6070ab443399c476de93d5d741f71e8f6e7880a065f878e0b9 \ + --hash=sha256:997e7b8f173a391987df40f3b52c423e5850be6f6df0dcfb5376365440b56667 \ + --hash=sha256:9be90eebc9842a93ef8335291f57b3b7488ac24f70df96a6034a13cb58e6ff86 \ + --hash=sha256:9ddd49258610499aab83b4f5b61b32e11fce873586282a0e972e5ab3bcadee51 \ + --hash=sha256:9ecde3671e62eeb99e977f5221abcf40c208f69b5eb986b061ccec317c82ebd0 \ + --hash=sha256:9ff4e9ecb6e4b363430edf2c6e50173a63e0820e549918adef70515f87ced19a \ + --hash=sha256:a254537b9b696ede293bfdbc0a65200e8e4507bc9f37831e2a0318a9b333c85c \ + --hash=sha256:a2b9bf8c79b660d0ca1ad95e587818c30ccdb11f787657458d6f26a1ea18c568 \ + --hash=sha256:a61a68d630e812b67b5bf097ab84e2cd79b48c792857dc10ba8a223f5b06a2af \ + --hash=sha256:a7080b0159ce05f179cfac592cda1a82898ca9cd097dacf8ea20ae33474fbb25 \ + --hash=sha256:a8fd93de4e1d278046345f49e2238cdb298589325849b2645d4a94c53faeffc5 \ + --hash=sha256:a94ffc66738da99232ddffcf7910e0f69e2bbe3a0802e54426dbf0714e1c2ffe \ + --hash=sha256:aa806bbc13eac1ab6291ed21ecd2dd426063ca5417dd507e6be58de20e58dfcf \ + --hash=sha256:b0c1a133d42c6fc1f5fbcf5c91331657a1ff822e87989bf4a6e2e39b818d0ee9 \ + --hash=sha256:b58229a844931bca61b3a20efd2be2a2acb4ad1622fc026504309a6883686fbf \ + --hash=sha256:bb2f144c6d98bb5cbc94adeb0447cfd4c0f991341baa68eee3f3b0c9c0e83767 \ + --hash=sha256:be90c94570840939fecedf99fa72839aed70b0ced449b415c85e01ae67422c90 \ + --hash=sha256:bf0d9a171908f32d54f651648c7290397b8792f4303821c42a74e7805bfb813c \ + --hash=sha256:bf15fc0b45914d9d1b706f7c9c4f66f2b7b053e9517e40123e137e8ca8958b3d \ + --hash=sha256:bf4298f366ca7e1ad1d21bbb58300a6985015909964077afd37559084590c929 \ + --hash=sha256:c441c841e82c5ba7a85ad25986014be8d7849c3cfbdb6004541873505929a74e \ + --hash=sha256:cacea77ef7a2195f04f9279297684955e3d1ae4241092ff0cfcef532bb7a1c32 \ + --hash=sha256:cd54895e4ae7d32f1e3dd91261df46ee7483a735017dc6f987904f194aa5fd14 \ + --hash=sha256:d1323cd04d6e92150bcc79d0174ce347ed4b349d748b9358fd2e497b121e03c8 \ + --hash=sha256:d383bf5e045d7f9d239b38e6acadd7b7fdf6c0087259a84ae3475d18e9a2ae8b \ + --hash=sha256:d3e7420211f5a65a54675fd860ea04173cde60a7cc20ccfbafcccd155225f8bc \ + --hash=sha256:d8074c5dd61c8a3e915fa8fc04754fa55cfa5978200d2daa1e2d4294c1f136aa \ + --hash=sha256:df03cd88f95b1b99052b52b1bb92173229d7a674df0ab06d2b25765ee8404bce \ + --hash=sha256:e45377d5d6fefe1677da2a2c07b024a6dac782088e37c0b1efea4cfe2b1be19b \ + --hash=sha256:e53d19c2bf7d0d1e6998a7e693c7e87300dd971808e6618964621ccd0e01fe4e \ + --hash=sha256:e560fd75aaf3e5693b91bcaddd8b314f4d57e99aef8a6c6dc692f935cc1e6bbf \ + --hash=sha256:ec5060592d83454e8063e487696ac3783cc48c9a329498bafae0d972bc7816c9 \ + --hash=sha256:ecc2920630283e0783c22e2ac94427f8cca29a04cfdf331467d4f661f4072dac \ + --hash=sha256:ed7161bccab7696a473fe7ddb619c1d75963732b37da4618ba12e60899fefe4f \ + --hash=sha256:ee0bd3a7b2e184e88d25c9baa6a9dc609ba25b76daae942edfb14499ac7ec374 \ + --hash=sha256:ee25f1ac091def37c4b59d192bbe3a206298feeb89132a470325bf76ad122a1e \ + --hash=sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d \ + --hash=sha256:f47d52fd9b2ac418c4890aad2f6d21a6b96183c98021f0a48497a904199f006e \ + --hash=sha256:f857034dc68d5ceb30fb60afb6ff2103087aea10a01b613985610e007053a121 \ + --hash=sha256:fb91d20fa2d3b13deea98a690534697742029f4fb83673a3501ae6e3746508b5 \ + --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp + # yarl +proto-plus==1.22.3 \ + --hash=sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df \ + --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-api-core +protobuf==4.25.8 \ + --hash=sha256:077ff8badf2acf8bc474406706ad890466274191a48d0abd3bd6987107c9cde5 \ + --hash=sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59 \ + --hash=sha256:27d498ffd1f21fb81d987a041c32d07857d1d107909f5134ba3350e1ce80a4af \ + --hash=sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0 \ + --hash=sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd \ + --hash=sha256:83e6e54e93d2b696a92cad6e6efc924f3850f82b52e1563778dfab8b355101b0 \ + --hash=sha256:9ad7ef62d92baf5a8654fbb88dac7fa5594cfa70fd3440488a5ca3bfc6d795a7 \ + --hash=sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9 \ + --hash=sha256:ca809b42f4444f144f2115c4c1a747b9a404d590f18f37e9402422033e464e0f \ + --hash=sha256:d552c53d0415449c8d17ced5c341caba0d89dbf433698e1436c8fa0aae7808a3 \ + --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # google-api-core + # googleapis-common-protos + # proto-plus + # tensorboardx + # wandb +psutil==5.9.6 \ + --hash=sha256:10e8c17b4f898d64b121149afb136c53ea8b68c7531155147867b7b1ac9e7e28 \ + --hash=sha256:18cd22c5db486f33998f37e2bb054cc62fd06646995285e02a51b1e08da97017 \ + --hash=sha256:3ebf2158c16cc69db777e3c7decb3c0f43a7af94a60d72e87b2823aebac3d602 \ + --hash=sha256:51dc3d54607c73148f63732c727856f5febec1c7c336f8f41fcbd6315cce76ac \ + --hash=sha256:6e5fb8dc711a514da83098bc5234264e551ad980cec5f85dabf4d38ed6f15e9a \ + --hash=sha256:70cb3beb98bc3fd5ac9ac617a327af7e7f826373ee64c80efd4eb2856e5051e9 \ + --hash=sha256:748c9dd2583ed86347ed65d0035f45fa8c851e8d90354c122ab72319b5f366f4 \ + --hash=sha256:91ecd2d9c00db9817a4b4192107cf6954addb5d9d67a969a4f436dbc9200f88c \ + --hash=sha256:92e0cc43c524834af53e9d3369245e6cc3b130e78e26100d1f63cdb0abeb3d3c \ + --hash=sha256:a6f01f03bf1843280f4ad16f4bde26b817847b4c1a0db59bf6419807bc5ce05c \ + --hash=sha256:c69596f9fc2f8acd574a12d5f8b7b1ba3765a641ea5d60fb4736bf3c08a8214a \ + --hash=sha256:ca2780f5e038379e520281e4c032dddd086906ddff9ef0d1b9dcf00710e5071c \ + --hash=sha256:daecbcbd29b289aac14ece28eca6a3e60aa361754cf6da3dfb20d4d32b6c7f57 \ + --hash=sha256:e4b92ddcd7dd4cdd3f900180ea1e104932c7bce234fb88976e2a3b296441225a \ + --hash=sha256:fb8a697f11b0f5994550555fcfe3e69799e5b060c8ecf9e2f75c69302cc35c0d \ + --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa + # via + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # deepspeed + # locust + # modin + # peft + # petastorm + # wandb +ptyprocess==0.7.0 \ + --hash=sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 \ + --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pexpect +pure-eval==0.2.2 \ + --hash=sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350 \ + --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # stack-data +py-cpuinfo==9.0.0 \ + --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ + --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +py4j==0.10.9.7 \ + --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ + --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pyspark +pyarrow==19.0.1 \ + --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ + --hash=sha256:0148bb4fc158bfbc3d6dfe5001d93ebeed253793fff4435167f6ce1dc4bddeae \ + --hash=sha256:1b93ef2c93e77c442c979b0d596af45e4665d8b96da598db145b0fec014b9136 \ + --hash=sha256:1c7556165bd38cf0cd992df2636f8bcdd2d4b26916c6b7e646101aff3c16f76f \ + --hash=sha256:335d170e050bcc7da867a1ed8ffb8b44c57aaa6e0843b156a501298657b1e972 \ + --hash=sha256:3bf266b485df66a400f282ac0b6d1b500b9d2ae73314a153dbe97d6d5cc8a99e \ + --hash=sha256:41f9706fbe505e0abc10e84bf3a906a1338905cbbcf1177b71486b03e6ea6608 \ + --hash=sha256:4982f8e2b7afd6dae8608d70ba5bd91699077323f812a0448d8b7abdff6cb5d3 \ + --hash=sha256:49a3aecb62c1be1d822f8bf629226d4a96418228a42f5b40835c1f10d42e4db6 \ + --hash=sha256:4d5d1ec7ec5324b98887bdc006f4d2ce534e10e60f7ad995e7875ffa0ff9cb14 \ + --hash=sha256:58d9397b2e273ef76264b45531e9d552d8ec8a6688b7390b5be44c02a37aade8 \ + --hash=sha256:5a9137cf7e1640dce4c190551ee69d478f7121b5c6f323553b319cac936395f6 \ + --hash=sha256:5bd1618ae5e5476b7654c7b55a6364ae87686d4724538c24185bbb2952679960 \ + --hash=sha256:65cf9feebab489b19cdfcfe4aa82f62147218558d8d3f0fc1e9dea0ab8e7905a \ + --hash=sha256:699799f9c80bebcf1da0983ba86d7f289c5a2a5c04b945e2f2bcf7e874a91911 \ + --hash=sha256:6c5941c1aac89a6c2f2b16cd64fe76bcdb94b2b1e99ca6459de4e6f07638d755 \ + --hash=sha256:6ebfb5171bb5f4a52319344ebbbecc731af3f021e49318c74f33d520d31ae0c4 \ + --hash=sha256:7a544ec12de66769612b2d6988c36adc96fb9767ecc8ee0a4d270b10b1c51e00 \ + --hash=sha256:7c1bca1897c28013db5e4c83944a2ab53231f541b9e0c3f4791206d0c0de389a \ + --hash=sha256:80b2ad2b193e7d19e81008a96e313fbd53157945c7be9ac65f44f8937a55427b \ + --hash=sha256:8464c9fbe6d94a7fe1599e7e8965f350fd233532868232ab2596a71586c5a429 \ + --hash=sha256:8f04d49a6b64cf24719c080b3c2029a3a5b16417fd5fd7c4041f94233af732f3 \ + --hash=sha256:96606c3ba57944d128e8a8399da4812f56c7f61de8c647e3470b417f795d0ef9 \ + --hash=sha256:99bc1bec6d234359743b01e70d4310d0ab240c3d6b0da7e2a93663b0158616f6 \ + --hash=sha256:ad76aef7f5f7e4a757fddcdcf010a8290958f09e3470ea458c80d26f4316ae89 \ + --hash=sha256:b4c4156a625f1e35d6c0b2132635a237708944eb41df5fbe7d50f20d20c17832 \ + --hash=sha256:b9766a47a9cb56fefe95cb27f535038b5a195707a08bf61b180e642324963b46 \ + --hash=sha256:c0fe3dbbf054a00d1f162fda94ce236a899ca01123a798c561ba307ca38af5f0 \ + --hash=sha256:c6cb2335a411b713fdf1e82a752162f72d4a7b5dbc588e32aa18383318b05866 \ + --hash=sha256:cc55d71898ea30dc95900297d191377caba257612f384207fe9f8293b5850f90 \ + --hash=sha256:d03c9d6f2a3dffbd62671ca070f13fc527bb1867b4ec2b98c7eeed381d4f389a \ + --hash=sha256:d383591f3dcbe545f6cc62daaef9c7cdfe0dff0fb9e1c8121101cabe9098cfa6 \ + --hash=sha256:d9d46e06846a41ba906ab25302cf0fd522f81aa2a85a71021826f34639ad31ef \ + --hash=sha256:d9dedeaf19097a143ed6da37f04f4051aba353c95ef507764d344229b2b740ae \ + --hash=sha256:e45274b20e524ae5c39d7fc1ca2aa923aab494776d2d4b316b49ec7572ca324c \ + --hash=sha256:ee8dec072569f43835932a3b10c55973593abc00936c202707a4ad06af7cb294 \ + --hash=sha256:f24faab6ed18f216a37870d8c5623f9c044566d75ec586ef884e13a02a9d62c5 \ + --hash=sha256:f2a21d39fbdb948857f67eacb5bbaaf36802de044ec36fbef7a1c8f0dd3a4ab2 \ + --hash=sha256:f3ad4c0eb4e2a9aeb990af6c09e6fa0b195c8c0e7b272ecc8d4d2b6574809d34 \ + --hash=sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69 \ + --hash=sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec \ + --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # datasets + # petastorm + # triad +pyasn1==0.5.1 \ + --hash=sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58 \ + --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 \ + --hash=sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c \ + --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth + # oauth2client +pybind11==2.13.1 \ + --hash=sha256:65be498b1cac516161add1508e65375674916bebf2570d057dc9c3c7bcbbc7b0 \ + --hash=sha256:97881536abe0cd4260a9ccc5bf6d1cf3113318f08af1feb82d4b9f95e93f0aa4 + # via lm-eval +pycparser==2.21 \ + --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \ + --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # cffi +pydantic==2.11.7 \ + --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ + --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # albumentations + # deepspeed + # fastapi +pydantic-core==2.33.2 \ + --hash=sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d \ + --hash=sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac \ + --hash=sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02 \ + --hash=sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56 \ + --hash=sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4 \ + --hash=sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22 \ + --hash=sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef \ + --hash=sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec \ + --hash=sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d \ + --hash=sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b \ + --hash=sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a \ + --hash=sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f \ + --hash=sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052 \ + --hash=sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab \ + --hash=sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916 \ + --hash=sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c \ + --hash=sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf \ + --hash=sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27 \ + --hash=sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a \ + --hash=sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8 \ + --hash=sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7 \ + --hash=sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612 \ + --hash=sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1 \ + --hash=sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039 \ + --hash=sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca \ + --hash=sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7 \ + --hash=sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a \ + --hash=sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6 \ + --hash=sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782 \ + --hash=sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b \ + --hash=sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7 \ + --hash=sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025 \ + --hash=sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849 \ + --hash=sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7 \ + --hash=sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b \ + --hash=sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa \ + --hash=sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e \ + --hash=sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea \ + --hash=sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac \ + --hash=sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51 \ + --hash=sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e \ + --hash=sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162 \ + --hash=sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65 \ + --hash=sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2 \ + --hash=sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954 \ + --hash=sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b \ + --hash=sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de \ + --hash=sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc \ + --hash=sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64 \ + --hash=sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb \ + --hash=sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9 \ + --hash=sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101 \ + --hash=sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d \ + --hash=sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef \ + --hash=sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3 \ + --hash=sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1 \ + --hash=sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5 \ + --hash=sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88 \ + --hash=sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d \ + --hash=sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290 \ + --hash=sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e \ + --hash=sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d \ + --hash=sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808 \ + --hash=sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc \ + --hash=sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d \ + --hash=sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc \ + --hash=sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e \ + --hash=sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640 \ + --hash=sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30 \ + --hash=sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e \ + --hash=sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9 \ + --hash=sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a \ + --hash=sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9 \ + --hash=sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f \ + --hash=sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb \ + --hash=sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5 \ + --hash=sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab \ + --hash=sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d \ + --hash=sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572 \ + --hash=sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593 \ + --hash=sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29 \ + --hash=sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535 \ + --hash=sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1 \ + --hash=sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f \ + --hash=sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8 \ + --hash=sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf \ + --hash=sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246 \ + --hash=sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9 \ + --hash=sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011 \ + --hash=sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9 \ + --hash=sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a \ + --hash=sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3 \ + --hash=sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6 \ + --hash=sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8 \ + --hash=sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a \ + --hash=sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2 \ + --hash=sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c \ + --hash=sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6 \ + --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +pygments==2.18.0 \ + --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ + --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython + # rich +pynvml==11.5.0 \ + --hash=sha256:5cce014ac01b098d08f06178f86c37be409b80b2e903a5a03ce15eed60f55e25 \ + --hash=sha256:d027b21b95b1088b9fc278117f9f61b7c67f8e33a787e9f83f735f0f71ac32d0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # deepspeed +pyopenssl==25.0.0 \ + --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ + --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +pyparsing==3.1.1 \ + --hash=sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb \ + --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db + # via + # -c release/ray_release/byod/requirements_compiled.txt + # httplib2 + # matplotlib +pyspark==3.4.1 \ + --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # petastorm +pytablewriter==1.2.0 \ + --hash=sha256:0204a4bb684a22140d640f2599f09e137bcdc18b3dd49426f4a555016e246b46 \ + --hash=sha256:4a30e2bb4bf5bc1069b1d2b2bc41947577c4517ab0875b23a5b194d296f543d8 + # via lm-eval +pytest==7.4.4 \ + --hash=sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280 \ + --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +python-dateutil==2.8.2 \ + --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ + --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # botocore + # matplotlib + # pandas + # typepy +pytorch-lightning==1.8.6 \ + --hash=sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d \ + --hash=sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +pytz==2022.7.1 \ + --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ + --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pandas + # typepy +pyu2f==0.1.5 \ + --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-reauth +pyyaml==6.0.1 \ + --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ + --hash=sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc \ + --hash=sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df \ + --hash=sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741 \ + --hash=sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206 \ + --hash=sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27 \ + --hash=sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595 \ + --hash=sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62 \ + --hash=sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98 \ + --hash=sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696 \ + --hash=sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290 \ + --hash=sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9 \ + --hash=sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d \ + --hash=sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6 \ + --hash=sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867 \ + --hash=sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47 \ + --hash=sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486 \ + --hash=sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6 \ + --hash=sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3 \ + --hash=sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007 \ + --hash=sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938 \ + --hash=sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0 \ + --hash=sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c \ + --hash=sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735 \ + --hash=sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d \ + --hash=sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28 \ + --hash=sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4 \ + --hash=sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba \ + --hash=sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8 \ + --hash=sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef \ + --hash=sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5 \ + --hash=sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd \ + --hash=sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3 \ + --hash=sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0 \ + --hash=sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515 \ + --hash=sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c \ + --hash=sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c \ + --hash=sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924 \ + --hash=sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34 \ + --hash=sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43 \ + --hash=sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859 \ + --hash=sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673 \ + --hash=sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54 \ + --hash=sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a \ + --hash=sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b \ + --hash=sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab \ + --hash=sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa \ + --hash=sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c \ + --hash=sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585 \ + --hash=sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d \ + --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # albumentations + # datasets + # huggingface-hub + # jupytext + # peft + # pytorch-lightning + # transformers + # wandb +pyzmq==26.0.3 \ + --hash=sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa \ + --hash=sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4 \ + --hash=sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09 \ + --hash=sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753 \ + --hash=sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c \ + --hash=sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537 \ + --hash=sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5 \ + --hash=sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620 \ + --hash=sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920 \ + --hash=sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77 \ + --hash=sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450 \ + --hash=sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a \ + --hash=sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc \ + --hash=sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0 \ + --hash=sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de \ + --hash=sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18 \ + --hash=sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606 \ + --hash=sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500 \ + --hash=sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972 \ + --hash=sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6 \ + --hash=sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad \ + --hash=sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee \ + --hash=sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a \ + --hash=sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59 \ + --hash=sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7 \ + --hash=sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709 \ + --hash=sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625 \ + --hash=sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d \ + --hash=sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527 \ + --hash=sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5 \ + --hash=sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987 \ + --hash=sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d \ + --hash=sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b \ + --hash=sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de \ + --hash=sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12 \ + --hash=sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798 \ + --hash=sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be \ + --hash=sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2 \ + --hash=sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20 \ + --hash=sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67 \ + --hash=sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4 \ + --hash=sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd \ + --hash=sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a \ + --hash=sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1 \ + --hash=sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4 \ + --hash=sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381 \ + --hash=sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd \ + --hash=sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02 \ + --hash=sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35 \ + --hash=sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7 \ + --hash=sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce \ + --hash=sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5 \ + --hash=sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf \ + --hash=sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf \ + --hash=sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84 \ + --hash=sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c \ + --hash=sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5 \ + --hash=sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32 \ + --hash=sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a \ + --hash=sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90 \ + --hash=sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97 \ + --hash=sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8 \ + --hash=sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5 \ + --hash=sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94 \ + --hash=sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf \ + --hash=sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f \ + --hash=sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2 \ + --hash=sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17 \ + --hash=sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879 \ + --hash=sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81 \ + --hash=sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223 \ + --hash=sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a \ + --hash=sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b \ + --hash=sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab \ + --hash=sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7 \ + --hash=sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6 \ + --hash=sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2 \ + --hash=sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480 \ + --hash=sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8 \ + --hash=sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67 \ + --hash=sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad \ + --hash=sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b \ + --hash=sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3 \ + --hash=sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9 \ + --hash=sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47 \ + --hash=sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83 \ + --hash=sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad \ + --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # locust + # petastorm +qpd==0.4.4 \ + --hash=sha256:e0ed05b88e321ea9935874377bda11339c90f1469f34344e9b41d16b8088e136 \ + --hash=sha256:fc02b53d990f505353ec495682fbc107dfc06c59e66d2206b5d2db2b5700b629 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +referencing==0.36.2 \ + --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ + --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # jsonschema-specifications +regex==2024.5.15 \ + --hash=sha256:0721931ad5fe0dda45d07f9820b90b2148ccdd8e45bb9e9b42a146cb4f695649 \ + --hash=sha256:10002e86e6068d9e1c91eae8295ef690f02f913c57db120b58fdd35a6bb1af35 \ + --hash=sha256:10e4ce0dca9ae7a66e6089bb29355d4432caed736acae36fef0fdd7879f0b0cb \ + --hash=sha256:119af6e56dce35e8dfb5222573b50c89e5508d94d55713c75126b753f834de68 \ + --hash=sha256:1337b7dbef9b2f71121cdbf1e97e40de33ff114801263b275aafd75303bd62b5 \ + --hash=sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133 \ + --hash=sha256:1595f2d10dff3d805e054ebdc41c124753631b6a471b976963c7b28543cf13b0 \ + --hash=sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d \ + --hash=sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da \ + --hash=sha256:19068a6a79cf99a19ccefa44610491e9ca02c2be3305c7760d3831d38a467a6f \ + --hash=sha256:19dfb1c504781a136a80ecd1fff9f16dddf5bb43cec6871778c8a907a085bb3d \ + --hash=sha256:1b5269484f6126eee5e687785e83c6b60aad7663dafe842b34691157e5083e53 \ + --hash=sha256:1c1c174d6ec38d6c8a7504087358ce9213d4332f6293a94fbf5249992ba54efa \ + --hash=sha256:2431b9e263af1953c55abbd3e2efca67ca80a3de8a0437cb58e2421f8184717a \ + --hash=sha256:287eb7f54fc81546346207c533ad3c2c51a8d61075127d7f6d79aaf96cdee890 \ + --hash=sha256:2b4c884767504c0e2401babe8b5b7aea9148680d2e157fa28f01529d1f7fcf67 \ + --hash=sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c \ + --hash=sha256:391d7f7f1e409d192dba8bcd42d3e4cf9e598f3979cdaed6ab11288da88cb9f2 \ + --hash=sha256:3ad070b823ca5890cab606c940522d05d3d22395d432f4aaaf9d5b1653e47ced \ + --hash=sha256:3cd7874d57f13bf70078f1ff02b8b0aa48d5b9ed25fc48547516c6aba36f5741 \ + --hash=sha256:3e507ff1e74373c4d3038195fdd2af30d297b4f0950eeda6f515ae3d84a1770f \ + --hash=sha256:455705d34b4154a80ead722f4f185b04c4237e8e8e33f265cd0798d0e44825fa \ + --hash=sha256:4a605586358893b483976cffc1723fb0f83e526e8f14c6e6614e75919d9862cf \ + --hash=sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4 \ + --hash=sha256:4eee78a04e6c67e8391edd4dad3279828dd66ac4b79570ec998e2155d2e59fd5 \ + --hash=sha256:5397de3219a8b08ae9540c48f602996aa6b0b65d5a61683e233af8605c42b0f2 \ + --hash=sha256:5b5467acbfc153847d5adb21e21e29847bcb5870e65c94c9206d20eb4e99a384 \ + --hash=sha256:5eaa7ddaf517aa095fa8da0b5015c44d03da83f5bd49c87961e3c997daed0de7 \ + --hash=sha256:632b01153e5248c134007209b5c6348a544ce96c46005d8456de1d552455b014 \ + --hash=sha256:64c65783e96e563103d641760664125e91bd85d8e49566ee560ded4da0d3e704 \ + --hash=sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5 \ + --hash=sha256:673b5a6da4557b975c6c90198588181029c60793835ce02f497ea817ff647cb2 \ + --hash=sha256:68811ab14087b2f6e0fc0c2bae9ad689ea3584cad6917fc57be6a48bbd012c49 \ + --hash=sha256:6e8d717bca3a6e2064fc3a08df5cbe366369f4b052dcd21b7416e6d71620dca1 \ + --hash=sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694 \ + --hash=sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629 \ + --hash=sha256:7b59138b219ffa8979013be7bc85bb60c6f7b7575df3d56dc1e403a438c7a3f6 \ + --hash=sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435 \ + --hash=sha256:833616ddc75ad595dee848ad984d067f2f31be645d603e4d158bba656bbf516c \ + --hash=sha256:87e2a9c29e672fc65523fb47a90d429b70ef72b901b4e4b1bd42387caf0d6835 \ + --hash=sha256:8fe45aa3f4aa57faabbc9cb46a93363edd6197cbc43523daea044e9ff2fea83e \ + --hash=sha256:9e717956dcfd656f5055cc70996ee2cc82ac5149517fc8e1b60261b907740201 \ + --hash=sha256:9efa1a32ad3a3ea112224897cdaeb6aa00381627f567179c0314f7b65d354c62 \ + --hash=sha256:9ff11639a8d98969c863d4617595eb5425fd12f7c5ef6621a4b74b71ed8726d5 \ + --hash=sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16 \ + --hash=sha256:a0981022dccabca811e8171f913de05720590c915b033b7e601f35ce4ea7019f \ + --hash=sha256:a0bd000c6e266927cb7a1bc39d55be95c4b4f65c5be53e659537537e019232b1 \ + --hash=sha256:a32b96f15c8ab2e7d27655969a23895eb799de3665fa94349f3b2fbfd547236f \ + --hash=sha256:a81e3cfbae20378d75185171587cbf756015ccb14840702944f014e0d93ea09f \ + --hash=sha256:ac394ff680fc46b97487941f5e6ae49a9f30ea41c6c6804832063f14b2a5a145 \ + --hash=sha256:ada150c5adfa8fbcbf321c30c751dc67d2f12f15bd183ffe4ec7cde351d945b3 \ + --hash=sha256:b2b6f1b3bb6f640c1a92be3bbfbcb18657b125b99ecf141fb3310b5282c7d4ed \ + --hash=sha256:b802512f3e1f480f41ab5f2cfc0e2f761f08a1f41092d6718868082fc0d27143 \ + --hash=sha256:ba68168daedb2c0bab7fd7e00ced5ba90aebf91024dea3c88ad5063c2a562cca \ + --hash=sha256:bfc4f82cabe54f1e7f206fd3d30fda143f84a63fe7d64a81558d6e5f2e5aaba9 \ + --hash=sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa \ + --hash=sha256:c3bea0ba8b73b71b37ac833a7f3fd53825924165da6a924aec78c13032f20850 \ + --hash=sha256:c486b4106066d502495b3025a0a7251bf37ea9540433940a23419461ab9f2a80 \ + --hash=sha256:c49e15eac7c149f3670b3e27f1f28a2c1ddeccd3a2812cba953e01be2ab9b5fe \ + --hash=sha256:c6a2b494a76983df8e3d3feea9b9ffdd558b247e60b92f877f93a1ff43d26656 \ + --hash=sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388 \ + --hash=sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1 \ + --hash=sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294 \ + --hash=sha256:cf2430df4148b08fb4324b848672514b1385ae3807651f3567871f130a728cc3 \ + --hash=sha256:d0a3d8d6acf0c78a1fff0e210d224b821081330b8524e3e2bc5a68ef6ab5803d \ + --hash=sha256:d0c0c0003c10f54a591d220997dd27d953cd9ccc1a7294b40a4be5312be8797b \ + --hash=sha256:d1f059a4d795e646e1c37665b9d06062c62d0e8cc3c511fe01315973a6542e40 \ + --hash=sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600 \ + --hash=sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c \ + --hash=sha256:d99ceffa25ac45d150e30bd9ed14ec6039f2aad0ffa6bb87a5936f5782fc1569 \ + --hash=sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456 \ + --hash=sha256:e4682f5ba31f475d58884045c1a97a860a007d44938c4c0895f41d64481edbc9 \ + --hash=sha256:e5bb9425fe881d578aeca0b2b4b3d314ec88738706f66f219c194d67179337cb \ + --hash=sha256:e64198f6b856d48192bf921421fdd8ad8eb35e179086e99e99f711957ffedd6e \ + --hash=sha256:e6662686aeb633ad65be2a42b4cb00178b3fbf7b91878f9446075c404ada552f \ + --hash=sha256:ec54d5afa89c19c6dd8541a133be51ee1017a38b412b1321ccb8d6ddbeb4cf7d \ + --hash=sha256:f5b1dff3ad008dccf18e652283f5e5339d70bf8ba7c98bf848ac33db10f7bc7a \ + --hash=sha256:f8ec0c2fea1e886a19c3bee0cd19d862b3aa75dcdfb42ebe8ed30708df64687a \ + --hash=sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # diffusers + # nltk + # sacrebleu + # tiktoken + # transformers +requests==2.32.3 \ + --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \ + --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # diffusers + # evaluate + # fsspec + # gcsfs + # google-api-core + # google-auth + # google-cloud-storage + # huggingface-hub + # locust + # requests-oauthlib + # tiktoken + # torchtext + # transformers + # wandb +requests-oauthlib==2.0.0 \ + --hash=sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36 \ + --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # google-auth-oauthlib +retry-decorator==1.1.1 \ + --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # gsutil +rich==13.3.2 \ + --hash=sha256:91954fe80cfb7985727a467ca98a7618e5dd15178cc2da10f553b36a93859001 \ + --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # memray + # typer +rouge-score==0.1.2 \ + --hash=sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04 + # via lm-eval +roundrobin==0.0.4 \ + --hash=sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd + # via locust +rpds-py==0.22.3 \ + --hash=sha256:009de23c9c9ee54bf11303a966edf4d9087cd43a6003672e6aa7def643d06518 \ + --hash=sha256:02fbb9c288ae08bcb34fb41d516d5eeb0455ac35b5512d03181d755d80810059 \ + --hash=sha256:0a0461200769ab3b9ab7e513f6013b7a97fdeee41c29b9db343f3c5a8e2b9e61 \ + --hash=sha256:0b09865a9abc0ddff4e50b5ef65467cd94176bf1e0004184eb915cbc10fc05c5 \ + --hash=sha256:0b8db6b5b2d4491ad5b6bdc2bc7c017eec108acbf4e6785f42a9eb0ba234f4c9 \ + --hash=sha256:0c150c7a61ed4a4f4955a96626574e9baf1adf772c2fb61ef6a5027e52803543 \ + --hash=sha256:0f3cec041684de9a4684b1572fe28c7267410e02450f4561700ca5a3bc6695a2 \ + --hash=sha256:1352ae4f7c717ae8cba93421a63373e582d19d55d2ee2cbb184344c82d2ae55a \ + --hash=sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d \ + --hash=sha256:1978d0021e943aae58b9b0b196fb4895a25cc53d3956b8e35e0b7682eefb6d56 \ + --hash=sha256:1a60bce91f81ddaac922a40bbb571a12c1070cb20ebd6d49c48e0b101d87300d \ + --hash=sha256:1aef18820ef3e4587ebe8b3bc9ba6e55892a6d7b93bac6d29d9f631a3b4befbd \ + --hash=sha256:1e9663daaf7a63ceccbbb8e3808fe90415b0757e2abddbfc2e06c857bf8c5e2b \ + --hash=sha256:20070c65396f7373f5df4005862fa162db5d25d56150bddd0b3e8214e8ef45b4 \ + --hash=sha256:214b7a953d73b5e87f0ebece4a32a5bd83c60a3ecc9d4ec8f1dca968a2d91e99 \ + --hash=sha256:22bebe05a9ffc70ebfa127efbc429bc26ec9e9b4ee4d15a740033efda515cf3d \ + --hash=sha256:24e8abb5878e250f2eb0d7859a8e561846f98910326d06c0d51381fed59357bd \ + --hash=sha256:26fd7cac7dd51011a245f29a2cc6489c4608b5a8ce8d75661bb4a1066c52dfbe \ + --hash=sha256:27b1d3b3915a99208fee9ab092b8184c420f2905b7d7feb4aeb5e4a9c509b8a1 \ + --hash=sha256:27e98004595899949bd7a7b34e91fa7c44d7a97c40fcaf1d874168bb652ec67e \ + --hash=sha256:2b8f60e1b739a74bab7e01fcbe3dddd4657ec685caa04681df9d562ef15b625f \ + --hash=sha256:2de29005e11637e7a2361fa151f780ff8eb2543a0da1413bb951e9f14b699ef3 \ + --hash=sha256:2e8b55d8517a2fda8d95cb45d62a5a8bbf9dd0ad39c5b25c8833efea07b880ca \ + --hash=sha256:2fa4331c200c2521512595253f5bb70858b90f750d39b8cbfd67465f8d1b596d \ + --hash=sha256:3445e07bf2e8ecfeef6ef67ac83de670358abf2996916039b16a218e3d95e97e \ + --hash=sha256:3453e8d41fe5f17d1f8e9c383a7473cd46a63661628ec58e07777c2fff7196dc \ + --hash=sha256:378753b4a4de2a7b34063d6f95ae81bfa7b15f2c1a04a9518e8644e81807ebea \ + --hash=sha256:3af6e48651c4e0d2d166dc1b033b7042ea3f871504b6805ba5f4fe31581d8d38 \ + --hash=sha256:3dfcbc95bd7992b16f3f7ba05af8a64ca694331bd24f9157b49dadeeb287493b \ + --hash=sha256:3f21f0495edea7fdbaaa87e633a8689cd285f8f4af5c869f27bc8074638ad69c \ + --hash=sha256:4041711832360a9b75cfb11b25a6a97c8fb49c07b8bd43d0d02b45d0b499a4ff \ + --hash=sha256:44d61b4b7d0c2c9ac019c314e52d7cbda0ae31078aabd0f22e583af3e0d79723 \ + --hash=sha256:4617e1915a539a0d9a9567795023de41a87106522ff83fbfaf1f6baf8e85437e \ + --hash=sha256:4b232061ca880db21fa14defe219840ad9b74b6158adb52ddf0e87bead9e8493 \ + --hash=sha256:5246b14ca64a8675e0a7161f7af68fe3e910e6b90542b4bfb5439ba752191df6 \ + --hash=sha256:5725dd9cc02068996d4438d397e255dcb1df776b7ceea3b9cb972bdb11260a83 \ + --hash=sha256:583f6a1993ca3369e0f80ba99d796d8e6b1a3a2a442dd4e1a79e652116413091 \ + --hash=sha256:59259dc58e57b10e7e18ce02c311804c10c5a793e6568f8af4dead03264584d1 \ + --hash=sha256:593eba61ba0c3baae5bc9be2f5232430453fb4432048de28399ca7376de9c627 \ + --hash=sha256:59f4a79c19232a5774aee369a0c296712ad0e77f24e62cad53160312b1c1eaa1 \ + --hash=sha256:5f0e260eaf54380380ac3808aa4ebe2d8ca28b9087cf411649f96bad6900c728 \ + --hash=sha256:62d9cfcf4948683a18a9aff0ab7e1474d407b7bab2ca03116109f8464698ab16 \ + --hash=sha256:64607d4cbf1b7e3c3c8a14948b99345eda0e161b852e122c6bb71aab6d1d798c \ + --hash=sha256:655ca44a831ecb238d124e0402d98f6212ac527a0ba6c55ca26f616604e60a45 \ + --hash=sha256:666ecce376999bf619756a24ce15bb14c5bfaf04bf00abc7e663ce17c3f34fe7 \ + --hash=sha256:68049202f67380ff9aa52f12e92b1c30115f32e6895cd7198fa2a7961621fc5a \ + --hash=sha256:69803198097467ee7282750acb507fba35ca22cc3b85f16cf45fb01cb9097730 \ + --hash=sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967 \ + --hash=sha256:6dd9412824c4ce1aca56c47b0991e65bebb7ac3f4edccfd3f156150c96a7bf25 \ + --hash=sha256:70eb60b3ae9245ddea20f8a4190bd79c705a22f8028aaf8bbdebe4716c3fab24 \ + --hash=sha256:70fb28128acbfd264eda9bf47015537ba3fe86e40d046eb2963d75024be4d055 \ + --hash=sha256:7b2513ba235829860b13faa931f3b6846548021846ac808455301c23a101689d \ + --hash=sha256:7ef9d9da710be50ff6809fed8f1963fecdfecc8b86656cadfca3bc24289414b0 \ + --hash=sha256:81e69b0a0e2537f26d73b4e43ad7bc8c8efb39621639b4434b76a3de50c6966e \ + --hash=sha256:8633e471c6207a039eff6aa116e35f69f3156b3989ea3e2d755f7bc41754a4a7 \ + --hash=sha256:8bd7c8cfc0b8247c8799080fbff54e0b9619e17cdfeb0478ba7295d43f635d7c \ + --hash=sha256:9253fc214112405f0afa7db88739294295f0e08466987f1d70e29930262b4c8f \ + --hash=sha256:99b37292234e61325e7a5bb9689e55e48c3f5f603af88b1642666277a81f1fbd \ + --hash=sha256:9bd7228827ec7bb817089e2eb301d907c0d9827a9e558f22f762bb690b131652 \ + --hash=sha256:9beeb01d8c190d7581a4d59522cd3d4b6887040dcfc744af99aa59fef3e041a8 \ + --hash=sha256:a63cbdd98acef6570c62b92a1e43266f9e8b21e699c363c0fef13bd530799c11 \ + --hash=sha256:a76e42402542b1fae59798fab64432b2d015ab9d0c8c47ba7addddbaf7952333 \ + --hash=sha256:ac0a03221cdb5058ce0167ecc92a8c89e8d0decdc9e99a2ec23380793c4dcb96 \ + --hash=sha256:b0b4136a252cadfa1adb705bb81524eee47d9f6aab4f2ee4fa1e9d3cd4581f64 \ + --hash=sha256:b25bc607423935079e05619d7de556c91fb6adeae9d5f80868dde3468657994b \ + --hash=sha256:b3d504047aba448d70cf6fa22e06cb09f7cbd761939fdd47604f5e007675c24e \ + --hash=sha256:bb47271f60660803ad11f4c61b42242b8c1312a31c98c578f79ef9387bbde21c \ + --hash=sha256:bbb232860e3d03d544bc03ac57855cd82ddf19c7a07651a7c0fdb95e9efea8b9 \ + --hash=sha256:bc27863442d388870c1809a87507727b799c8460573cfbb6dc0eeaef5a11b5ec \ + --hash=sha256:bc51abd01f08117283c5ebf64844a35144a0843ff7b2983e0648e4d3d9f10dbb \ + --hash=sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37 \ + --hash=sha256:bf9db5488121b596dbfc6718c76092fda77b703c1f7533a226a5a9f65248f8ad \ + --hash=sha256:c58e2339def52ef6b71b8f36d13c3688ea23fa093353f3a4fee2556e62086ec9 \ + --hash=sha256:cfbc454a2880389dbb9b5b398e50d439e2e58669160f27b60e5eca11f68ae17c \ + --hash=sha256:cff63a0272fcd259dcc3be1657b07c929c466b067ceb1c20060e8d10af56f5bf \ + --hash=sha256:d115bffdd417c6d806ea9069237a4ae02f513b778e3789a359bc5856e0404cc4 \ + --hash=sha256:d20cfb4e099748ea39e6f7b16c91ab057989712d31761d3300d43134e26e165f \ + --hash=sha256:d48424e39c2611ee1b84ad0f44fb3b2b53d473e65de061e3f460fc0be5f1939d \ + --hash=sha256:e0fa2d4ec53dc51cf7d3bb22e0aa0143966119f42a0c3e4998293a3dd2856b09 \ + --hash=sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d \ + --hash=sha256:e35ba67d65d49080e8e5a1dd40101fccdd9798adb9b050ff670b7d74fa41c566 \ + --hash=sha256:e3fb866d9932a3d7d0c82da76d816996d1667c44891bd861a0f97ba27e84fc74 \ + --hash=sha256:e61b02c3f7a1e0b75e20c3978f7135fd13cb6cf551bf4a6d29b999a88830a338 \ + --hash=sha256:e67ba3c290821343c192f7eae1d8fd5999ca2dc99994114643e2f2d3e6138b15 \ + --hash=sha256:e79dd39f1e8c3504be0607e5fc6e86bb60fe3584bec8b782578c3b0fde8d932c \ + --hash=sha256:e89391e6d60251560f0a8f4bd32137b077a80d9b7dbe6d5cab1cd80d2746f648 \ + --hash=sha256:ea7433ce7e4bfc3a85654aeb6747babe3f66eaf9a1d0c1e7a4435bbdf27fea84 \ + --hash=sha256:eaf16ae9ae519a0e237a0f528fd9f0197b9bb70f40263ee57ae53c2b8d48aeb3 \ + --hash=sha256:eb0c341fa71df5a4595f9501df4ac5abfb5a09580081dffbd1ddd4654e6e9123 \ + --hash=sha256:f276b245347e6e36526cbd4a266a417796fc531ddf391e43574cf6466c492520 \ + --hash=sha256:f47ad3d5f3258bd7058d2d506852217865afefe6153a36eb4b6928758041d831 \ + --hash=sha256:f56a6b404f74ab372da986d240e2e002769a7d7102cc73eb238a4f72eec5284e \ + --hash=sha256:f5cf2a0c2bdadf3791b5c205d55a37a54025c6e18a71c71f82bb536cf9a454bf \ + --hash=sha256:f5d36399a1b96e1a5fdc91e0522544580dbebeb1f77f27b2b0ab25559e103b8b \ + --hash=sha256:f60bd8423be1d9d833f230fdbccf8f57af322d96bcad6599e5a771b151398eb2 \ + --hash=sha256:f612463ac081803f243ff13cccc648578e2279295048f2a8d5eb430af2bae6e3 \ + --hash=sha256:f73d3fef726b3243a811121de45193c0ca75f6407fe66f3f4e183c983573e130 \ + --hash=sha256:f82a116a1d03628a8ace4859556fb39fd1424c933341a08ea3ed6de1edb0283b \ + --hash=sha256:fb0ba113b4983beac1a2eb16faffd76cb41e176bf58c4afe3e14b9c681f702de \ + --hash=sha256:fb4f868f712b2dd4bcc538b0a0c1f63a2b1d584c925e69a224d759e7070a12d5 \ + --hash=sha256:fb6116dfb8d1925cbdb52595560584db42a7f664617a1f7d7f6e32f138cdf37d \ + --hash=sha256:fda7cb070f442bf80b642cd56483b5548e43d366fe3f39b98e67cce780cded00 \ + --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jsonschema + # referencing +rsa==4.7.2 \ + --hash=sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2 \ + --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gcs-oauth2-boto-plugin + # google-auth + # oauth2client +s3transfer==0.8.0 \ + --hash=sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986 \ + --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # boto3 +sacrebleu==2.4.2 \ + --hash=sha256:611a581d205828912f0b05f806b110180087184d3be2dc650fda7a729d6ecb89 + # via lm-eval +safetensors==0.4.3 \ + --hash=sha256:018b691383026a2436a22b648873ed11444a364324e7088b99cd2503dd828400 \ + --hash=sha256:01e4b22e3284cd866edeabe4f4d896229495da457229408d2e1e4810c5187121 \ + --hash=sha256:01feb3089e5932d7e662eda77c3ecc389f97c0883c4a12b5cfdc32b589a811c3 \ + --hash=sha256:02318f01e332cc23ffb4f6716e05a492c5f18b1d13e343c49265149396284a44 \ + --hash=sha256:02ef3a24face643456020536591fbd3c717c5abaa2737ec428ccbbc86dffa7a4 \ + --hash=sha256:03a4447c784917c9bf01d8f2ac5080bc15c41692202cd5f406afba16629e84d6 \ + --hash=sha256:084fc436e317f83f7071fc6a62ca1c513b2103db325cd09952914b50f51cf78f \ + --hash=sha256:0bf4f9d6323d9f86eef5567eabd88f070691cf031d4c0df27a40d3b4aaee755b \ + --hash=sha256:0d52c958dc210265157573f81d34adf54e255bc2b59ded6218500c9b15a750eb \ + --hash=sha256:0d5ffc6a80f715c30af253e0e288ad1cd97a3d0086c9c87995e5093ebc075e50 \ + --hash=sha256:0d9cd8e1560dfc514b6d7859247dc6a86ad2f83151a62c577428d5102d872721 \ + --hash=sha256:0dd37306546b58d3043eb044c8103a02792cc024b51d1dd16bd3dd1f334cb3ed \ + --hash=sha256:1139eb436fd201c133d03c81209d39ac57e129f5e74e34bb9ab60f8d9b726270 \ + --hash=sha256:19bbdf95de2cf64f25cd614c5236c8b06eb2cfa47cbf64311f4b5d80224623a3 \ + --hash=sha256:1ab6527a20586d94291c96e00a668fa03f86189b8a9defa2cdd34a1a01acc7d5 \ + --hash=sha256:1b89381517891a7bb7d1405d828b2bf5d75528299f8231e9346b8eba092227f9 \ + --hash=sha256:1f598b713cc1a4eb31d3b3203557ac308acf21c8f41104cdd74bf640c6e538e3 \ + --hash=sha256:22d21760dc6ebae42e9c058d75aa9907d9f35e38f896e3c69ba0e7b213033856 \ + --hash=sha256:22f3b5d65e440cec0de8edaa672efa888030802e11c09b3d6203bff60ebff05a \ + --hash=sha256:2a0deb16a1d3ea90c244ceb42d2c6c276059616be21a19ac7101aa97da448faf \ + --hash=sha256:2a1f4430cc0c9d6afa01214a4b3919d0a029637df8e09675ceef1ca3f0dfa0df \ + --hash=sha256:2d603846a8585b9432a0fd415db1d4c57c0f860eb4aea21f92559ff9902bae4d \ + --hash=sha256:2f85fc50c4e07a21e95c24e07460fe6f7e2859d0ce88092838352b798ce711c2 \ + --hash=sha256:309b10dbcab63269ecbf0e2ca10ce59223bb756ca5d431ce9c9eeabd446569da \ + --hash=sha256:3615a96dd2dcc30eb66d82bc76cda2565f4f7bfa89fcb0e31ba3cea8a1a9ecbb \ + --hash=sha256:38e2a8666178224a51cca61d3cb4c88704f696eac8f72a49a598a93bbd8a4af9 \ + --hash=sha256:393e6e391467d1b2b829c77e47d726f3b9b93630e6a045b1d1fca67dc78bf632 \ + --hash=sha256:3f9cdca09052f585e62328c1c2923c70f46814715c795be65f0b93f57ec98a02 \ + --hash=sha256:41a727a7f5e6ad9f1db6951adee21bbdadc632363d79dc434876369a17de6ad6 \ + --hash=sha256:420a98f593ff9930f5822560d14c395ccbc57342ddff3b463bc0b3d6b1951550 \ + --hash=sha256:446e9fe52c051aeab12aac63d1017e0f68a02a92a027b901c4f8e931b24e5397 \ + --hash=sha256:455d538aa1aae4a8b279344a08136d3f16334247907b18a5c3c7fa88ef0d3c46 \ + --hash=sha256:4f9bac020faba7f5dc481e881b14b6425265feabb5bfc552551d21189c0eddc3 \ + --hash=sha256:53c4879b9c6bd7cd25d114ee0ef95420e2812e676314300624594940a8d6a91f \ + --hash=sha256:5757e4688f20df083e233b47de43845d1adb7e17b6cf7da5f8444416fc53828d \ + --hash=sha256:585c9ae13a205807b63bef8a37994f30c917ff800ab8a1ca9c9b5d73024f97ee \ + --hash=sha256:5d07cbca5b99babb692d76d8151bec46f461f8ad8daafbfd96b2fca40cadae65 \ + --hash=sha256:5fc6775529fb9f0ce2266edd3e5d3f10aab068e49f765e11f6f2a63b5367021d \ + --hash=sha256:622afd28968ef3e9786562d352659a37de4481a4070f4ebac883f98c5836563e \ + --hash=sha256:6f9568f380f513a60139971169c4a358b8731509cc19112369902eddb33faa4d \ + --hash=sha256:70a5319ef409e7f88686a46607cbc3c428271069d8b770076feaf913664a07ac \ + --hash=sha256:74707624b81f1b7f2b93f5619d4a9f00934d5948005a03f2c1845ffbfff42212 \ + --hash=sha256:7c4fa560ebd4522adddb71dcd25d09bf211b5634003f015a4b815b7647d62ebe \ + --hash=sha256:7de32d0d34b6623bb56ca278f90db081f85fb9c5d327e3c18fd23ac64f465768 \ + --hash=sha256:840b7ac0eff5633e1d053cc9db12fdf56b566e9403b4950b2dc85393d9b88d67 \ + --hash=sha256:840caf38d86aa7014fe37ade5d0d84e23dcfbc798b8078015831996ecbc206a3 \ + --hash=sha256:8651c7299cbd8b4161a36cd6a322fa07d39cd23535b144d02f1c1972d0c62f3c \ + --hash=sha256:868ad1b6fc41209ab6bd12f63923e8baeb1a086814cb2e81a65ed3d497e0cf8f \ + --hash=sha256:88887f69f7a00cf02b954cdc3034ffb383b2303bc0ab481d4716e2da51ddc10e \ + --hash=sha256:89f9f17b0dacb913ed87d57afbc8aad85ea42c1085bd5de2f20d83d13e9fc4b2 \ + --hash=sha256:8c496c5401c1b9c46d41a7688e8ff5b0310a3b9bae31ce0f0ae870e1ea2b8caf \ + --hash=sha256:8cf18888606dad030455d18f6c381720e57fc6a4170ee1966adb7ebc98d4d6a3 \ + --hash=sha256:8d22c1a10dff3f64d0d68abb8298a3fd88ccff79f408a3e15b3e7f637ef5c980 \ + --hash=sha256:90964917f5b0fa0fa07e9a051fbef100250c04d150b7026ccbf87a34a54012e0 \ + --hash=sha256:9bfb92f82574d9e58401d79c70c716985dc049b635fef6eecbb024c79b2c46ad \ + --hash=sha256:9c6ad011c1b4e3acff058d6b090f1da8e55a332fbf84695cf3100c649cc452d1 \ + --hash=sha256:a11c374eb63a9c16c5ed146457241182f310902bd2a9c18255781bb832b6748b \ + --hash=sha256:a7cef55929dcbef24af3eb40bedec35d82c3c2fa46338bb13ecf3c5720af8a61 \ + --hash=sha256:a844cdb5d7cbc22f5f16c7e2a0271170750763c4db08381b7f696dbd2c78a361 \ + --hash=sha256:ae7613a119a71a497d012ccc83775c308b9c1dab454806291427f84397d852fd \ + --hash=sha256:b1648568667f820b8c48317c7006221dc40aced1869908c187f493838a1362bc \ + --hash=sha256:b1e31be7945f66be23f4ec1682bb47faa3df34cb89fc68527de6554d3c4258a4 \ + --hash=sha256:b277482120df46e27a58082df06a15aebda4481e30a1c21eefd0921ae7e03f65 \ + --hash=sha256:b7ffba80aa49bd09195145a7fd233a7781173b422eeb995096f2b30591639517 \ + --hash=sha256:b852e47eb08475c2c1bd8131207b405793bfc20d6f45aff893d3baaad449ed14 \ + --hash=sha256:bb4f8c5d0358a31e9a08daeebb68f5e161cdd4018855426d3f0c23bb51087055 \ + --hash=sha256:bbae3b4b9d997971431c346edbfe6e41e98424a097860ee872721e176040a893 \ + --hash=sha256:befdf0167ad626f22f6aac6163477fcefa342224a22f11fdd05abb3995c1783c \ + --hash=sha256:c0acbe31340ab150423347e5b9cc595867d814244ac14218932a5cf1dd38eb39 \ + --hash=sha256:c41e1893d1206aa7054029681778d9a58b3529d4c807002c156d58426c225173 \ + --hash=sha256:c59d51f182c729f47e841510b70b967b0752039f79f1de23bcdd86462a9b09ee \ + --hash=sha256:cd6fff9e56df398abc5866b19a32124815b656613c1c5ec0f9350906fd798aac \ + --hash=sha256:cdd0a3b5da66e7f377474599814dbf5cbf135ff059cc73694de129b58a5e8a2c \ + --hash=sha256:cf476bca34e1340ee3294ef13e2c625833f83d096cfdf69a5342475602004f95 \ + --hash=sha256:d0dd4a1db09db2dba0f94d15addc7e7cd3a7b0d393aa4c7518c39ae7374623c3 \ + --hash=sha256:d1456f814655b224d4bf6e7915c51ce74e389b413be791203092b7ff78c936dd \ + --hash=sha256:d14d30c25897b2bf19b6fb5ff7e26cc40006ad53fd4a88244fdf26517d852dd7 \ + --hash=sha256:d244bcafeb1bc06d47cfee71727e775bca88a8efda77a13e7306aae3813fa7e4 \ + --hash=sha256:d8815b5e1dac85fc534a97fd339e12404db557878c090f90442247e87c8aeaea \ + --hash=sha256:d88b33980222085dd6001ae2cad87c6068e0991d4f5ccf44975d216db3b57376 \ + --hash=sha256:d8c5093206ef4b198600ae484230402af6713dab1bd5b8e231905d754022bec7 \ + --hash=sha256:d9c289f140a9ae4853fc2236a2ffc9a9f2d5eae0cb673167e0f1b8c18c0961ac \ + --hash=sha256:dcf5705cab159ce0130cd56057f5f3425023c407e170bca60b4868048bae64fd \ + --hash=sha256:e011cc162503c19f4b1fd63dfcddf73739c7a243a17dac09b78e57a00983ab35 \ + --hash=sha256:e066e8861eef6387b7c772344d1fe1f9a72800e04ee9a54239d460c400c72aab \ + --hash=sha256:e0b2104df1579d6ba9052c0ae0e3137c9698b2d85b0645507e6fd1813b70931a \ + --hash=sha256:e375d975159ac534c7161269de24ddcd490df2157b55c1a6eeace6cbb56903f0 \ + --hash=sha256:e4119532cd10dba04b423e0f86aecb96cfa5a602238c0aa012f70c3a40c44b50 \ + --hash=sha256:e7dbbde64b6c534548696808a0e01276d28ea5773bc9a2dfb97a88cd3dffe3df \ + --hash=sha256:e9afd5358719f1b2cf425fad638fc3c887997d6782da317096877e5b15b2ce93 \ + --hash=sha256:ec4b52ce9a396260eb9731eb6aea41a7320de22ed73a1042c2230af0212758ce \ + --hash=sha256:edb5698a7bc282089f64c96c477846950358a46ede85a1c040e0230344fdde10 \ + --hash=sha256:ee463219d9ec6c2be1d331ab13a8e0cd50d2f32240a81d498266d77d07b7e71e \ + --hash=sha256:efcc860be094b8d19ac61b452ec635c7acb9afa77beb218b1d7784c6d41fe8ad \ + --hash=sha256:f5e6883af9a68c0028f70a4c19d5a6ab6238a379be36ad300a22318316c00cb0 \ + --hash=sha256:f9650713b2cfa9537a2baf7dd9fee458b24a0aaaa6cafcea8bdd5fb2b8efdc34 \ + --hash=sha256:faefeb3b81bdfb4e5a55b9bbdf3d8d8753f65506e1d67d03f5c851a6c87150e9 \ + --hash=sha256:fb9c65bd82f9ef3ce4970dc19ee86be5f6f93d032159acf35e663c6bea02b237 \ + --hash=sha256:fe746d03ed8d193674a26105e4f0fe6c726f5bb602ffc695b409eaf02f04763d \ + --hash=sha256:fef5d70683643618244a4f5221053567ca3e77c2531e42ad48ae05fae909f542 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # accelerate + # peft + # transformers +scikit-learn==1.3.2 \ + --hash=sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107 \ + --hash=sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161 \ + --hash=sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c \ + --hash=sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d \ + --hash=sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157 \ + --hash=sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a \ + --hash=sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb \ + --hash=sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c \ + --hash=sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a \ + --hash=sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c \ + --hash=sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5 \ + --hash=sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0 \ + --hash=sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b \ + --hash=sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03 \ + --hash=sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66 \ + --hash=sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9 \ + --hash=sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf \ + --hash=sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028 \ + --hash=sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93 \ + --hash=sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05 \ + --hash=sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073 \ + --hash=sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525 \ + --hash=sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e \ + --hash=sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1 \ + --hash=sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0 \ + --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval +scipy==1.11.4 \ + --hash=sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c \ + --hash=sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6 \ + --hash=sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8 \ + --hash=sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d \ + --hash=sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97 \ + --hash=sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff \ + --hash=sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993 \ + --hash=sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3 \ + --hash=sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd \ + --hash=sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7 \ + --hash=sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446 \ + --hash=sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa \ + --hash=sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937 \ + --hash=sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56 \ + --hash=sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd \ + --hash=sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79 \ + --hash=sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4 \ + --hash=sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4 \ + --hash=sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710 \ + --hash=sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660 \ + --hash=sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41 \ + --hash=sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea \ + --hash=sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65 \ + --hash=sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be \ + --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec + # via + # -c release/ray_release/byod/requirements_compiled.txt + # albumentations + # scikit-learn + # statsforecast + # statsmodels + # xgboost +semidbm==0.5.1 \ + --hash=sha256:0dd74b5e9276eb5af186ace8b74165acec0c887e746bdae60340be91b99cffaf \ + --hash=sha256:add3e644dd6afcce83d1752b34ff80fa4e2b37b4ce6bce3289ad19d6f0bcd6ae + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +sentencepiece==0.1.96 \ + --hash=sha256:1dac8c2ad02b5ebc1179c0a14cbc7d7c6f4fd73d4dd51820626402d0aefc974e \ + --hash=sha256:203443a7bd4295b6a3695787235abe0e77d4c369d7156a6b9a397c540a38bd27 \ + --hash=sha256:26d20d713b3ba1b7a19205336afb1e93a4327c372b2f795e907b8dc2315ac92e \ + --hash=sha256:3028699bdb2fb0230804f3b8a617fe3af22f5c5a56416419b31a7da5e7bf83bc \ + --hash=sha256:335bf84d72112cc91f3c3b691d61802fc963503b7772fd8280d20368048b8f3e \ + --hash=sha256:36e9ff61e7b67c5b7ee96733613622620b4802fc8cf188a4dbc1f355b03dde02 \ + --hash=sha256:384148cead5cdab34a4d74fe1fb6a5a8abaafed25eaa4a7698b49dd9482e4c4e \ + --hash=sha256:3c703e68ea192e45b65c5d5836f6980849d828a18da4189899d7150fad82dc9e \ + --hash=sha256:3e61e0757e49c306fff78ea75d6b75773418fe22214b4a460959203be934e834 \ + --hash=sha256:466e381f0a812da8fda97a9707498cef3210ea8385a3421bcbadcb5384063969 \ + --hash=sha256:48c6d13b3bfff08060c138248e85df60f6fad11135ad7a8fc2ef6005aacca839 \ + --hash=sha256:4997c7ccf2ae462320250314aa5709a88d8a09fa271d073458a07bebf33f8e7c \ + --hash=sha256:5388882bb24d083f6cc8cffc5c435f3694a7772b018e06ea6fd84d1044009efb \ + --hash=sha256:5513298d62fe63dd0862d08a6eb52a9aa3537006f597f2386184e3f95bb88889 \ + --hash=sha256:78e18d9106c36dcca929e18fd2c412378deac661d47fa3ee25defc55eef8a215 \ + --hash=sha256:8179785883b556cd517416cdbda6244745414b00ec83132cfe1d26000971f3ae \ + --hash=sha256:81bb77ba3651114943b2f8f77829cf764137dff06e38f4bf7fa43efea12c7f84 \ + --hash=sha256:89c038da7f827a6e2ca4c73aeb4e4b25b99d981ce47dd61b04d446c8200cba1e \ + --hash=sha256:940a6999c7d3f55e9d7b194fd5e1f41a7dbed26d3519fb95333216292a39599e \ + --hash=sha256:99ea2d9db19e63a2d17d5dc64f9ace83fb9308a735be05a1aaf98eb4b496fba7 \ + --hash=sha256:9bdf097d5bd1d8ce42dfee51f6ff05f5578b96e48c6f6006aa4eff69edfa3639 \ + --hash=sha256:a336575463d75d3aac1f7e32470b8998643ccd9a73786bd726f6b0470520b6b4 \ + --hash=sha256:a697257a2cd7581732d7741a8d32a06927f0311c3d277dbc47fa1043350c9d17 \ + --hash=sha256:a92e1932ee8fd500680ccbe1bf53eb33228f4c9d6524ed6f300bcc80ac359f27 \ + --hash=sha256:aeb090ad462833df03af1debce4ae607a2766ef861f992003ad0c56d074ab805 \ + --hash=sha256:b1c24c1d9405b2148184ff27c062493d5e3be5c144575f95b5a0d7c660a515af \ + --hash=sha256:b77d27f59d515c43b61745b8173fbe7c7b3014b14b3702a75bf1793471e7def6 \ + --hash=sha256:b8b1dd2712f8a7de5b4c8ec912e6c041d25750bf03e1ce325cdba43bae0944ae \ + --hash=sha256:bedf0355117fb4e9b1fc9fc92b4d5ee743a7d468be9f6196e3b94447710ea589 \ + --hash=sha256:cc969e6694fb27fba7cee2953f350804faf03913f25ae1ee713a7b8a1bc08018 \ + --hash=sha256:d45e3f78e746aa161bc9f5a31c6a2839c512101113a4065f4d2e7a3ab8198d8c \ + --hash=sha256:d501713a8396193883aa526f48dc609f5f031a5df1afbafa561cf9ab492ffc76 \ + --hash=sha256:d954d25a8705f972e8bfc1dea5464d7e697dd6f4ade092f1a487387e6d6c829a \ + --hash=sha256:dadccb2e49244b6e64b4527d13ec14d5e094a90b41cf9b963e457e64182f1941 \ + --hash=sha256:e811984b0908c14c56de7d8226fdd494d87a7ccb75af8ac3a07423037aaafc35 \ + --hash=sha256:e88354b61f59dfdeb41023f7be8ae31dc627c2dc2dacbc2de8b2d82a0997135c \ + --hash=sha256:e8ec5bb6777e2060e1499750c50e1b69dca5a0f80f90f2c66656c5f3e5244593 \ + --hash=sha256:e9e9fe8094ca57549d801e9a2017ac5c24108bbf485ea4f8994a72e8e96ee135 \ + --hash=sha256:eba0471ab0bb2e07ed06d91ecf5185d402c83d194155a41d8e2aa547d187712e \ + --hash=sha256:ef59ba19340dc1d002ce5713b911c0ef23c577b08f8ed57998ee3c8e62c5bf6e \ + --hash=sha256:f8c90df663cd9759b2cf8dd29998b63140ac39e51ada2e739dc13bdac0b4f001 \ + --hash=sha256:f8cb24d8d0b2f8b7463815a59183eb81ec1d7a06e3217bed456063f3303eddfb \ + --hash=sha256:fd907a8f744e5337de7fc532dd800c4416b571ea47f8c3c66be10cd1bc67c925 \ + --hash=sha256:ff7d752a7f82d87711ec1a95c2262cb74f98be5b457f0300d81a1aefe5be2a95 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +sentry-sdk==2.10.0 \ + --hash=sha256:545fcc6e36c335faa6d6cda84669b6e17025f31efbf3b2211ec14efe008b75d1 \ + --hash=sha256:87b3d413c87d8e7f816cc9334bff255a83d8b577db2b22042651c30c19c09190 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +setproctitle==1.3.6 \ + --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ + --hash=sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e \ + --hash=sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4 \ + --hash=sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1 \ + --hash=sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe \ + --hash=sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd \ + --hash=sha256:156795b3db976611d09252fc80761fcdb65bb7c9b9581148da900851af25ecf4 \ + --hash=sha256:163dba68f979c61e4e2e779c4d643e968973bdae7c33c3ec4d1869f7a9ba8390 \ + --hash=sha256:17d7c833ed6545ada5ac4bb606b86a28f13a04431953d4beac29d3773aa00b1d \ + --hash=sha256:18d0667bafaaae4c1dee831e2e59841c411ff399b9b4766822ba2685d419c3be \ + --hash=sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367 \ + --hash=sha256:2156d55308431ac3b3ec4e5e05b1726d11a5215352d6a22bb933171dee292f8c \ + --hash=sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5 \ + --hash=sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab \ + --hash=sha256:2940cf13f4fc11ce69ad2ed37a9f22386bfed314b98d8aebfd4f55459aa59108 \ + --hash=sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c \ + --hash=sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970 \ + --hash=sha256:3884002b3a9086f3018a32ab5d4e1e8214dd70695004e27b1a45c25a6243ad0b \ + --hash=sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6 \ + --hash=sha256:391bb6a29c4fe7ccc9c30812e3744060802d89b39264cfa77f3d280d7f387ea5 \ + --hash=sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8 \ + --hash=sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717 \ + --hash=sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef \ + --hash=sha256:3fc97805f9d74444b027babff710bf39df1541437a6a585a983d090ae00cedde \ + --hash=sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba \ + --hash=sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24 \ + --hash=sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20 \ + --hash=sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034 \ + --hash=sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba \ + --hash=sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec \ + --hash=sha256:5313a4e9380e46ca0e2c681ba739296f9e7c899e6f4d12a6702b2dc9fb846a31 \ + --hash=sha256:543f59601a4e32daf44741b52f9a23e0ee374f9f13b39c41d917302d98fdd7b0 \ + --hash=sha256:57bc54763bf741813a99fbde91f6be138c8706148b7b42d3752deec46545d470 \ + --hash=sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7 \ + --hash=sha256:6a1d3aa13acfe81f355b0ce4968facc7a19b0d17223a0f80c011a1dba8388f37 \ + --hash=sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1 \ + --hash=sha256:6d50bfcc1d1692dc55165b3dd2f0b9f8fb5b1f7b571a93e08d660ad54b9ca1a5 \ + --hash=sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9 \ + --hash=sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec \ + --hash=sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5 \ + --hash=sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c \ + --hash=sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301 \ + --hash=sha256:793a23e8d9cb6c231aa3023d700008224c6ec5b8fd622d50f3c51665e3d0a190 \ + --hash=sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7 \ + --hash=sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4 \ + --hash=sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f \ + --hash=sha256:805bb33e92fc3d8aa05674db3068d14d36718e3f2c5c79b09807203f229bf4b5 \ + --hash=sha256:807796fe301b7ed76cf100113cc008c119daf4fea2f9f43c578002aef70c3ebf \ + --hash=sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431 \ + --hash=sha256:83066ffbf77a5f82b7e96e59bdccbdda203c8dccbfc3f9f0fdad3a08d0001d9c \ + --hash=sha256:8834ab7be6539f1bfadec7c8d12249bbbe6c2413b1d40ffc0ec408692232a0c6 \ + --hash=sha256:92df0e70b884f5da35f2e01489dca3c06a79962fb75636985f1e3a17aec66833 \ + --hash=sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844 \ + --hash=sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853 \ + --hash=sha256:9b50700785eccac0819bea794d968ed8f6055c88f29364776b7ea076ac105c5d \ + --hash=sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781 \ + --hash=sha256:9d5a369eb7ec5b2fdfa9927530b5259dd21893fa75d4e04a223332f61b84b586 \ + --hash=sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4 \ + --hash=sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d \ + --hash=sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b \ + --hash=sha256:a4ae2ea9afcfdd2b931ddcebf1cf82532162677e00326637b31ed5dff7d985ca \ + --hash=sha256:a5963b663da69ad25fa1559ee064584935570def665917918938c1f1289f5ebc \ + --hash=sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4 \ + --hash=sha256:ae82507fe458f7c0c8227017f2158111a4c9e7ce94de05178894a7ea9fefc8a1 \ + --hash=sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279 \ + --hash=sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638 \ + --hash=sha256:b0174ca6f3018ddeaa49847f29b69612e590534c1d2186d54ab25161ecc42975 \ + --hash=sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d \ + --hash=sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe \ + --hash=sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a \ + --hash=sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5 \ + --hash=sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2 \ + --hash=sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf \ + --hash=sha256:c1b20a5f4164cec7007be55c9cf18d2cd08ed7c3bf6769b3cd6d044ad888d74b \ + --hash=sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d \ + --hash=sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169 \ + --hash=sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235 \ + --hash=sha256:cdd7315314b0744a7dd506f3bd0f2cf90734181529cdcf75542ee35ad885cab7 \ + --hash=sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc \ + --hash=sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf \ + --hash=sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d \ + --hash=sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905 \ + --hash=sha256:d5a6c4864bb6fa9fcf7b57a830d21aed69fd71742a5ebcdbafda476be673d212 \ + --hash=sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a \ + --hash=sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3 \ + --hash=sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4 \ + --hash=sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28 \ + --hash=sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1 \ + --hash=sha256:ded9e86397267732a0641d4776c7c663ea16b64d7dbc4d9cc6ad8536363a2d29 \ + --hash=sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d \ + --hash=sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794 \ + --hash=sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9 \ + --hash=sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67 \ + --hash=sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5 \ + --hash=sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26 \ + --hash=sha256:f24d5b9383318cbd1a5cd969377937d66cf0542f24aa728a4f49d9f98f9c0da8 \ + --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # wandb +shellingham==1.5.4 \ + --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ + --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de + # via + # -c release/ray_release/byod/requirements_compiled.txt + # typer +simsimd==6.2.1 \ + --hash=sha256:0048df2245d239ed016e5f4b5d75e96987149bf7245e90713e1fe3b53e321a74 \ + --hash=sha256:02d7b7c7afecc63ddf501460f09c1da90625bfd59b4da5fda126c1aa5c54bb95 \ + --hash=sha256:03c94c9dcf80c93c58c9435f295fd35399d88097464d1a0a5995372868d852e3 \ + --hash=sha256:050f68cfa85f1fb2cfa156280928e42926e3977034b755023ce1315bf59e87ff \ + --hash=sha256:05323cbad7200592c2e53fbcc759e615594e8ca444ef5eddf9f3fb196ad4de9c \ + --hash=sha256:0784e98ca48a0075fb0cbd7782df11eaa17ce15c60f09a65e8477864208afb8a \ + --hash=sha256:0d7eeed41600bb229c34d822e0011c80019c16c689f16c82b875012e7116b2d5 \ + --hash=sha256:0da7f30f11cbe7c6ced372af3f5da24b7df1038bad82cfd0032667024622b794 \ + --hash=sha256:0efc6343c440a26cf16463c4c667655af9597bcbd55ad66f33a80b2b84de7412 \ + --hash=sha256:0ff603134600da12175e66b842b7a7331c827fa070d1d8b63386a40bc8d09fcd \ + --hash=sha256:104d53f2489dcbf569b8260d678e2183af605510115dc2b22ed0340aa47fe892 \ + --hash=sha256:12a8d60ccc8991dfbbf056c221ce4f02135f5892492894972f421a6f155015d9 \ + --hash=sha256:1324d7433f0cefd29a55716197112d22b259c49d7c62425517dc37d0c6494b69 \ + --hash=sha256:173e66699597a4fcf6fa50b52cced40216fdcfba15f60b761a2bd9cb1d98a444 \ + --hash=sha256:1919957071b6d19e337ebba9c04f4b48604f927fc9118ce877b1fbcec1975f57 \ + --hash=sha256:191c020f312350ac06eee829376b11d8c1282da8fefb4381fe0625edfb678d8d \ + --hash=sha256:1b45987216a5d5b9b1441ea8acbf5d731e5ee60c0727999f10438827d201b40d \ + --hash=sha256:1c4760dee8f65a890b82a6175d5294d30271637495a9e4195969fc1ad38ec056 \ + --hash=sha256:25812637f43feaef1a33ae00b81a4d2b0116aadae3a08267486c1e57236fc368 \ + --hash=sha256:25adb244fb75dbf49af0d1bcac4ed4a3fef8e847d78449faa5595af0a3e20d61 \ + --hash=sha256:298f7c793fc2a1eeedcefa1278eb2ef6f52ce0b36aaa8780885f96a39ce1a4e8 \ + --hash=sha256:2b56b1ca7b76c0d4515938a036e688b73a866b19e6f6eb743596144fdf498a0c \ + --hash=sha256:2d364f2c24dd38578bf0eec436c4b901c900ae1893680f46eb5632e01330d814 \ + --hash=sha256:2e07e5b4abbb5561a62acfc4d1f2c4fb9051cc0f6919b0456d0bb37dc6749f0a \ + --hash=sha256:2e474fd10ceb38e2c9f826108a7762f8ff7912974846d86f08c4e7b19cd35ed4 \ + --hash=sha256:2eed0ad770b18a3b74b19ad744ee3224dae9bf1a86bd9126eae0636ada53eebd \ + --hash=sha256:2f573d706e44018cba63a6ff44f4a1a7733fb55ee504a12b345c012bc114f7d5 \ + --hash=sha256:2fa19f8c9786757d19afcbda9f8fb68de55e4f5562725ae8727f887d01bf0e4d \ + --hash=sha256:300042eeab379923d77bca328fdc2ac1df8adfdffa9a6939f28ba6b196f02002 \ + --hash=sha256:31163917ce2848f7896e633b8d1ae0db9004dc8eb6605cf959f6319e31cd569c \ + --hash=sha256:37b0db92ca0fec835ec1256d6dd167d7c9f727d3372b98bf27b1fd59ad299768 \ + --hash=sha256:39eb6abdd44adfddec181a713e9cfad8742d03abbc6247c4e5ca2caee38e4775 \ + --hash=sha256:3cb54ec20235d81dd9596c8fe8b2bd35fad027d3f5cd52e23a17a71b3ac44d3f \ + --hash=sha256:3d6bffd999dbb36e606b065e0180365efac2606049c4f7818e4cba2d34c3678f \ + --hash=sha256:4025ebad36fb3fa5cffcd48d33375d5e5decc59c1129a259b74fed097eab1ab5 \ + --hash=sha256:45010111c39117af851a323e78bd43e6a344349b4ed7b1f5ca4c4ebb2284c7e5 \ + --hash=sha256:4a517ae74d18a8b7d4d349cf4afed45f33cd660cb44d0ae34c95d00c1f7fa760 \ + --hash=sha256:4c9487acdae92b4089a0142cd3691328bfdcaaebf2587a0c11df4039ff7005e8 \ + --hash=sha256:4cf0180f4b17ea3758523f644eddc38124ac98c4aac1c5572f44fd04c3bcb2f3 \ + --hash=sha256:4ec31c076dc839114bff5d83526ddf46551d4720cc8cd0f16516896809a4fca6 \ + --hash=sha256:4f2ecd459f4917facdb287c42c5e68030b21cb98edac0fec9919a7215968e38a \ + --hash=sha256:4f665228f8ff4911790b485e74b00fa9586a141dde6011970be71bb303b5a22f \ + --hash=sha256:508465f8d4e3e0fff07c939921aeedf55b0ade9f56f64e938c350c283dea42fb \ + --hash=sha256:522e56451481bff3468653c2818ad1240b4cb13cff0ec76bc88d8860bfc775c9 \ + --hash=sha256:5692ce7e56253178eea9dbd58191734918409b83d54b07cfdcecf868d0150a73 \ + --hash=sha256:592a578c788a9cb7877eff41487cc7f50474e00f774de74bea8590fa95c804ae \ + --hash=sha256:59518b9834c167a1dd8900600718e95cdadc9d74525452f426aa8455a38c55ef \ + --hash=sha256:598330828b922700aac8a7939c562f80e4ee9000671081ff264c8daae4692d76 \ + --hash=sha256:59c2978c4e402097d8a4b38f076ff98cc43e6b059d53f89736404f26e9a9bd5a \ + --hash=sha256:5b0748aa6bd4df4c5a3f5e979aec14b26588f1b2e0d44075dcc9eaf4d555e15b \ + --hash=sha256:5b5c6f79f797cc020a2ff64950162dfb6d130c51a07cdac5ad97ec836e85ce50 \ + --hash=sha256:5b62fcf02e33a88e4c4a93da9d682e475bb08979d7d18f91a76bee2fe2f9d335 \ + --hash=sha256:5e202c5386a4141946b7aee05faac8ebc2e36bca0a360b24080e57b59bc4ef6a \ + --hash=sha256:63a48c50c0ff44ac4d463f8c963f718de5aff54e1c4a6ce8363e291ac2f1fc14 \ + --hash=sha256:67bb4b17e04919545f29c7b708faaccbe027f164f8b5c9f4328604fa8f5560ea \ + --hash=sha256:6af1565e0ef7060bc52a38e3273a8e6e92aff47835965dc5311298563475935e \ + --hash=sha256:731635de9e771571fbf61edb81cfa466fed37845fbfb35d719afb7c6ea3d4bce \ + --hash=sha256:76b32fdc7142c9714e94651ece8bc00dd5139c554813211552aa358e44af0e07 \ + --hash=sha256:77912f9b4c230eea2bca7ba35c33dfd5590b41a867abba9fe7e152a7ae976307 \ + --hash=sha256:783b4308f80ae00763b0eaa0dac26196958f9c2df60d35a0347ebd2f82ece46d \ + --hash=sha256:7b6147ddc390c08a802af258ad204b1d775bb3d180ec6f6fcea82f4fd71fb447 \ + --hash=sha256:7f43721e1a4ebe8d2245b0e85dd7de7153d1bf22839579d5f69a345909c68d9e \ + --hash=sha256:87b963f862ba50a61527af281a66e1d6cee34c535b621718e45de1df8f277cba \ + --hash=sha256:8abc529daf0a61649ca4a237cd9e63723f3355394686898654c643bd63846cf5 \ + --hash=sha256:8c9b79c189ab40e1633c4cecba1a58133a8454662c40af8abdf18f0766a1cf94 \ + --hash=sha256:8d476c874bafa0d12d4c8c5c47faf17407f3c96140616384421c2aa980342b6f \ + --hash=sha256:9046d108b3fc7cd1808df53083b3a2e26f70a1efb4f378971fefe76c27d64488 \ + --hash=sha256:9264abf5dabe046d3951d162dbba21c7a3c3f491587c84038df1b94de0b6742a \ + --hash=sha256:94282e040be985c993d415290371f6b22bec3eeadafe747a6d8dfbd2c317f35e \ + --hash=sha256:95055e72cfe313c1c8694783bf8a631cc15673b3b775abef367e396d931db0b8 \ + --hash=sha256:98e38a0ca4805c1de2882d0641b54e249eabca4ed2980c82465822130d7f8c98 \ + --hash=sha256:99dff4e04663c82284152ecc2e8bf76b2825f3f17e179abf7892e06196061056 \ + --hash=sha256:9b3315e41bb759dc038ecd6f4fa7bcf278bf72ee7d982f752482cdc732aea271 \ + --hash=sha256:9c79486cf75eb06c5e1f623e8315f9fb73620ac63b846d5a6c843f14905de43f \ + --hash=sha256:9ca68b9d2cc1c19af6afe6f01a764861fc8bb919d688a64cf0b0ac0abae7e0fa \ + --hash=sha256:9e5e82551d75c0e2cd0d4b8af8db1cae7b5ac6dcc076c0c760870ff81f78135b \ + --hash=sha256:9ea60422d0f45d3a1899984c3fc3a14dbd248cfca8f67c24751029441464a806 \ + --hash=sha256:a5dfb02fa141a6e039803044930753aef1df5ed05cae8b14fe348cdc160cef1e \ + --hash=sha256:a74142ea21a6fd3ec5c64e4d4acf1ec6f4d80c0bb1a5989d68af6e84f7ac612e \ + --hash=sha256:a79a2bd32ba0f90f70c22accf4b441846049b55aeae73556f4b5c6e9fe6e024f \ + --hash=sha256:a98f2b383f51b4f4ee568a637fc7958a347fdae0bd184cff8faa8030b6454a39 \ + --hash=sha256:abee753fbb8584373218bf78396ae3d2b2a1202c7284cd9c70695535c62cdc31 \ + --hash=sha256:ae496f16f2d759dc103ed8b8a5533c0a52e5c96c88e5d6a9e26eff24f174537b \ + --hash=sha256:b1f3cbe5c39db2bb64f30999104de1215ba3805d6059af7bc5a9d662d50f4707 \ + --hash=sha256:b2530ea44fffeab25e5752bec6a5991f30fbc430b04647980db5b195c0971d48 \ + --hash=sha256:b4542cee77e801a9c27370fc36ae271514fc0fb2ce14a35f8b25f47989e3d267 \ + --hash=sha256:bbcfc905d90343c7b7e07f7b80385abc017405125246908181f6841c5f3cbde3 \ + --hash=sha256:c5101d1204e42b15c1e3772ec8b357cec9bce5eea0ccb76ec8faff5104233241 \ + --hash=sha256:c7af7da114f81af0bcfbf9563ea109479550e62dd5dde39ea2e93bc5f1e306ca \ + --hash=sha256:ca67f6273ef544c74c48b134af756de7c98a711ccf69cd0791225f26dd449281 \ + --hash=sha256:cad9b5503d35b7be3e704594bcdf3883bbcdb9987086d942a2a52e7b0927288e \ + --hash=sha256:cbbc2434286493b88f3b8211e922d37b46588b34d4cc28f3262f154c8ca1141c \ + --hash=sha256:d063beb7a53d8525af56c4247e1e43a7fa161b70bcbacf30daab639b32ad4a10 \ + --hash=sha256:d09ea4d3c0224bedf9f72881d1e5896a265fc89311abba078e615b0c06d989da \ + --hash=sha256:d1d2e6c3d655a34b42c6e0d0c28ac7b86498858ffb68c58733893fc538bd26a9 \ + --hash=sha256:d286fd4538cb1a1c70e69da00a3acee301519d578931b41161f4f1379d1195c6 \ + --hash=sha256:d470b43ce606f21f54a23fc19ad6928333e17d0956b02eb27b7b112edc156a10 \ + --hash=sha256:d8c7b7b286d7be1756fb837b9f3330f7d03eb6a7329cd717c88d635e441a8eb0 \ + --hash=sha256:dae5f7c37ffd0313ea59aa0a20203e7624bc5a39065fc5505991268689f2b6a2 \ + --hash=sha256:dc23283235d5b8f0373b95a547e26da2d7785647a5d0fa15c282fc8c49c0dcb0 \ + --hash=sha256:dd6ecae57a481f9fc0bceb331cba7b18a0b23a71f15af7d06cdf8aa8aac38645 \ + --hash=sha256:e690b41377c8dd157d585713b0bc35c845aee7742334bf12d1f087fc8a65b6c3 \ + --hash=sha256:e93ffe6ea7417bffdee9a1b9ebb682f35f41e3e75b7e51f0f3a2fb5f7dd4c079 \ + --hash=sha256:e9614309af75be4d08a051dc61ed5cf41b5239b8303b37dc2f9c8a7223534392 \ + --hash=sha256:e99cc8aa19af5ca3574aa72e1d0e959c4859345fdf553a887ce22e469c1145a8 \ + --hash=sha256:e9ad2c247ed58ba9bb170a01295cb315a45c817775cc7e51ad342f70978a1057 \ + --hash=sha256:e9d4f15c06cc221d29e181197c7bbf92c5e829220cbeb3cd1cf080de78b04f2a \ + --hash=sha256:ea4f0f68be5f85bbcf4322bfdd1b449176cf5fdd99960c546514457635632443 \ + --hash=sha256:eaa94e0932ae2a48b7e4df8c29204dc9fe59f72b1faeb08e9d5015bf51fb9f21 \ + --hash=sha256:edc68e727d53ed2866dcfb625f15e52be8f1e6809f4be2147bf8d2115a2542b7 \ + --hash=sha256:ef6d998496e5569ce9b5ce21a9ecbe3b59f9426ce27e6bf1db0eae67613d8d9e \ + --hash=sha256:f44e5e2319427f94db658c6f75caae78850da505902874a1664a83ef5713f333 \ + --hash=sha256:f486682aa7a8918d86df411d3c11c635db4b67d514cb6bb499c0edab7fb8ec58 \ + --hash=sha256:fc087d9dacab1eb4abc2f3d9f33047fc601db501cb43165e658973fe5fd50c9b \ + --hash=sha256:fef886c8220d3566b9f43d441226ca267a11682dea5496bb6e007f655eee1fd1 \ + --hash=sha256:ffbb874d4c3ed53443468f9c20704845cc8736d5717817c35d5cb12ad5548c7a + # via albucore +six==1.16.0 \ + --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \ + --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # asttokens + # docker-pycreds + # fs + # gcs-oauth2-boto-plugin + # google-apitools + # gsutil + # oauth2client + # patsy + # petastorm + # python-dateutil + # pyu2f + # rouge-score + # triad + # trueskill +smmap==5.0.1 \ + --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \ + --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da + # via + # -c release/ray_release/byod/requirements_compiled.txt + # gitdb +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via + # -c release/ray_release/byod/requirements_compiled.txt + # anyio +sqlglot==25.6.1 \ + --hash=sha256:c1fcbaa00429979f16fb8cea20279a8b3f5312e76d97abb8f8c6a9b21be450d7 \ + --hash=sha256:ea40f3bf8452e2c1a696fe120163190bd67e49b346336e7db6d34400b57b7601 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fugue +sqlitedict==2.1.0 \ + --hash=sha256:03d9cfb96d602996f1d4c2db2856f1224b96a9c431bdd16e78032a72940f9e8c + # via lm-eval +stack-data==0.6.3 \ + --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ + --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipython +starlette==0.46.2 \ + --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ + --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # fastapi +statsforecast==1.7.0 \ + --hash=sha256:0a4aae77988c23db25703eafacecb88a6fc981496be886e24c6144fab2310a0e \ + --hash=sha256:ac63de8095242eb0f362045a232174666f0fa24a43ee8c3d3cc0bb61f15b7316 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +statsmodels==0.14.0 \ + --hash=sha256:0eea4a0b761aebf0c355b726ac5616b9a8b618bd6e81a96b9f998a61f4fd7484 \ + --hash=sha256:0ef7fa4813c7a73b0d8a0c830250f021c102c71c95e9fe0d6877bcfb56d38b8c \ + --hash=sha256:16bfe0c96a53b20fa19067e3b6bd2f1d39e30d4891ea0d7bc20734a0ae95942d \ + --hash=sha256:1c7724ad573af26139a98393ae64bc318d1b19762b13442d96c7a3e793f495c3 \ + --hash=sha256:229b2f676b4a45cb62d132a105c9c06ca8a09ffba060abe34935391eb5d9ba87 \ + --hash=sha256:3757542c95247e4ab025291a740efa5da91dc11a05990c033d40fce31c450dc9 \ + --hash=sha256:3b0a135f3bfdeec987e36e3b3b4c53e0bb87a8d91464d2fcc4d169d176f46fdb \ + --hash=sha256:4c815ce7a699047727c65a7c179bff4031cff9ae90c78ca730cfd5200eb025dd \ + --hash=sha256:575f61337c8e406ae5fa074d34bc6eb77b5a57c544b2d4ee9bc3da6a0a084cf1 \ + --hash=sha256:582f9e41092e342aaa04920d17cc3f97240e3ee198672f194719b5a3d08657d6 \ + --hash=sha256:5a6a0a1a06ff79be8aa89c8494b33903442859add133f0dda1daf37c3c71682e \ + --hash=sha256:6875c7d689e966d948f15eb816ab5616f4928706b180cf470fd5907ab6f647a4 \ + --hash=sha256:68b1c768dd94cc5ba8398121a632b673c625491aa7ed627b82cb4c880a25563f \ + --hash=sha256:6f7d762df4e04d1dde8127d07e91aff230eae643aa7078543e60e83e7d5b40db \ + --hash=sha256:71054f9dbcead56def14e3c9db6f66f943110fdfb19713caf0eb0f08c1ec03fd \ + --hash=sha256:76e290f4718177bffa8823a780f3b882d56dd64ad1c18cfb4bc8b5558f3f5757 \ + --hash=sha256:77b3cd3a5268ef966a0a08582c591bd29c09c88b4566c892a7c087935234f285 \ + --hash=sha256:7ebe885ccaa64b4bc5ad49ac781c246e7a594b491f08ab4cfd5aa456c363a6f6 \ + --hash=sha256:8be53cdeb82f49c4cb0fda6d7eeeb2d67dbd50179b3e1033510e061863720d93 \ + --hash=sha256:8d1e3e10dfbfcd58119ba5a4d3c7d519182b970a2aebaf0b6f539f55ae16058d \ + --hash=sha256:9c64ebe9cf376cba0c31aed138e15ed179a1d128612dd241cdf299d159e5e882 \ + --hash=sha256:a6ad7b8aadccd4e4dd7f315a07bef1bca41d194eeaf4ec600d20dea02d242fce \ + --hash=sha256:afe80544ef46730ea1b11cc655da27038bbaa7159dc5af4bc35bbc32982262f2 \ + --hash=sha256:b587ee5d23369a0e881da6e37f78371dce4238cf7638a455db4b633a1a1c62d6 \ + --hash=sha256:ce28eb1c397dba437ec39b9ab18f2101806f388c7a0cf9cdfd8f09294ad1c799 \ + --hash=sha256:d7fda067837df94e0a614d93d3a38fb6868958d37f7f50afe2a534524f2660cb \ + --hash=sha256:de489e3ed315bdba55c9d1554a2e89faa65d212e365ab81bc323fa52681fc60e \ + --hash=sha256:fb471f757fc45102a87e5d86e87dc2c8c78b34ad4f203679a46520f1d863b9da \ + --hash=sha256:fc2c7931008a911e3060c77ea8933f63f7367c0f3af04f82db3a04808ad2cd2c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +stringzilla==3.12.5 \ + --hash=sha256:0005ad680ff3150302c1702cb871398ffb8bf478f0e18bbeeb4bc4c8019f9350 \ + --hash=sha256:0a2e98738b8c7329a57faf7aab209d871b0af2b218a22f4851a77acce52e442c \ + --hash=sha256:0cff7a8000ea05009b9d452266dfc3cd12fc81a3a1fd44d68e34374eef38e0f1 \ + --hash=sha256:0f71d8224cf6f658ae9cdf0e34cc5839d1f3f3c322de9dc1d849f31e1e72a84b \ + --hash=sha256:0f7e8f8edd1fe9daf17fd33807d042b61d04d5ae4b2f2b377bd098f21b1785e0 \ + --hash=sha256:101d94f351d918144389ff316ff61efb06f645702078c48d7c4e0973b788fab9 \ + --hash=sha256:1171346784802f62282ef156f0168d52e7ba213fbaf566697f613fb20bd98bc2 \ + --hash=sha256:11d5ab714b716c1b231d9976aab035bf5ef67acc2f80deba28de47232f274c03 \ + --hash=sha256:147efbf20e5451d90c93a946fb7827f728ba50e7b9a1813c31e98d2548330519 \ + --hash=sha256:196b4c6212469bdacb506b53c94eef13837e4a10c45898fb2bbaca209da3b049 \ + --hash=sha256:1d7d5c2dcd13ff6dc98a8ecc207ea1ddb5bba901cff9fbc6426340d23cb2d17f \ + --hash=sha256:1f36978c2d91f06f647bed422ad91c9b411310012dc0947d4a93e89ca900b75c \ + --hash=sha256:2086748bc23f42ff724981d9e5e18f28f673b6ed593d8c4ba1272bd45a7563be \ + --hash=sha256:21306e58181372988abeacd22e16755cfd66c19c90762125ed1776bb2a5cf3e3 \ + --hash=sha256:248a4145334475a4a055a36c4418f70c9084d74e0c11f9acb6b20c15902f5fb8 \ + --hash=sha256:258e95b9ba322d1fb8bfd2f3c42f4dac3b1c2b4665b0aaaf3f57ebff236f54f8 \ + --hash=sha256:259c8b5c6e0765d5f7896ce93030e1cfbeb1ac3b2c769b50e2530a1519c44c75 \ + --hash=sha256:269fd074cc622c046cda7fa491f1157ae9b0a943fa19cdfe27ffa72e36c908cb \ + --hash=sha256:298825874afb449dd839380776e74212955c3eb6b812aa25dea1635d9800dfbf \ + --hash=sha256:2a83e3d9cc55f2a01f9721cfc48d54de4e31caf94ef30124bd4515f2dc7c1147 \ + --hash=sha256:2aa41e153bea6fb9587c7656afb7f536029522edb146d3f5a69d71f86524e7ed \ + --hash=sha256:2ac439c8404b277f9506133747a7e00278a96071a9410572490f0a33f4f4b21b \ + --hash=sha256:2c00535979818e5f4d7307d3b9b9d7fe425182907341ffef5041567dd274077f \ + --hash=sha256:309a5596deefadc8b06d372c26ec7e220dacb0c59cf7ad7e7879da403b55ab72 \ + --hash=sha256:315f9b14d56c94d414014a34722e5b9beb68befdb1b30ec82a62f8b00c9446a2 \ + --hash=sha256:3304d0f5b74acb132154e0861c0c72bee419fd5280d30bad59580c188c79b337 \ + --hash=sha256:3400ef2a7ca14cebe5e2d20d859ed384eaf8004debc95e617fef95697eebabe0 \ + --hash=sha256:36d91dfe5b862708a7cee0220a0467aef27e76a25a67f74e79e0b5154e908a21 \ + --hash=sha256:38fe604342e2120f14ae0537624149f868c93d622e939d42ec03063c45a60295 \ + --hash=sha256:3bd12dd3b4a56fb93d28058f8c200835f86cb67b4fbfc83679a15e4f0ba7b0dd \ + --hash=sha256:40dbc6db2061eb0c2759fa136434e8def3e68143c67a46842a633672b80d78f5 \ + --hash=sha256:4312f52846f5257bffdee790f8e29a22f5cc9517caa43659635061f175c50896 \ + --hash=sha256:48efbe3ea3f9dc69b4262f4858b68b0a2abf546f9be1927ef208026e2838393b \ + --hash=sha256:49be75f186b3f15dc1d14d4f6f239298b6a6451d6d25bb4a52176373e79c32b7 \ + --hash=sha256:4b0b76b4413b004eb9868271d51f2dabd8577f7677ec65c6f46d21944b638687 \ + --hash=sha256:52afdfe38ee4601e13f3f649ac25e19edf4932e142ec17535ea255b7d4be3354 \ + --hash=sha256:57958a420c8e5bfd958740a76a35d357f64c18713a48dbf5983ae0a4e50c010d \ + --hash=sha256:58a120a94b8345799a2984a51f2ca5d8259fc98e470ca9d44c07b2f9a6718125 \ + --hash=sha256:5da15a319f76b7fdba403d5b93ecd982e84faa010d40a28aeb25c0864e01df46 \ + --hash=sha256:5f698e0571b9feb6a3f0565908ccd472dc55c0f781c2520276f354abe63a0db7 \ + --hash=sha256:62ab05cf349f7bbf2d6a465c21860350c1234ae51040a3c1d1459e11babc6c2d \ + --hash=sha256:6456fe5df5ea265e8c6c32595c7213fbe44e48b9fc8b7b6908e0d581ee427a2f \ + --hash=sha256:68638de874f2abd789e2a7ab8f84bd845b4b061c0bb4e1987415b6cb2a5746e4 \ + --hash=sha256:6a6df2a99524545ed3ba9e581934186b9aac5fc52d9a986e81916ca9dba759db \ + --hash=sha256:6b04e810073c7e4e1aa97838a3c5eb51e17c1e0943b2572d007cf98c69c88ab2 \ + --hash=sha256:6ef2d489b9148fa810c7cd73543f27525750a448cb931c2baa4ab413291597cf \ + --hash=sha256:6f236daaef1e25b3218d35dd8a7b62168a2eafacc06a4edfe439315800e1dcc7 \ + --hash=sha256:7014996fd1f16160a43f193ada51df0fc2dea5caa08822da88d68c1a0ddcd189 \ + --hash=sha256:736cbd711d6d5134165519618fca3173bf946a8f9e311fd7535e305e2195e4b9 \ + --hash=sha256:79640d0a689e64ee48c20bcf873f0c22c83e9f4741b760a4baf141d809bd413b \ + --hash=sha256:7a182c29ef8cd1dfd62977b3ccebd0aeea6e805a9844dfc0d2298685adcbd979 \ + --hash=sha256:7a1e0d1329e773d202c8721a371ce6b56dc796b6375e4588304d31adc906d267 \ + --hash=sha256:7a4281220e0fb395265d035c2f488a4b4fed111ca36fcb67ac32b94fea004c48 \ + --hash=sha256:7b8c36d426cb6011d2b97c69eb18eb859d8c56c9fcb26cf99d9eca2f8abc95bf \ + --hash=sha256:7c72b496bd63783587559630d87b841eba78838580f7e82bea0c678bcce01118 \ + --hash=sha256:7e0b00da8210ca0df750e35dccbff18e4f2a7203aa9f2c313a2e0b7d170e2a9d \ + --hash=sha256:7e55bc1c3e3de1a8816ce0442e627dd6a46afb319291c981cf2becf149eb4fc6 \ + --hash=sha256:83d38beeffe0435456235c35b6f80762a939c6618dc9985fc3291a39201fd2c2 \ + --hash=sha256:83e1056b288171efa9e7dea7bdd2f4d7f3212d9e3e12a7e8cd2e760a2de93f8b \ + --hash=sha256:83f19578361dfa7821c1809b0da5d8df13f5470f86405ffc3f529a9336c6a323 \ + --hash=sha256:845a567326c09a62fd697cca2993e99eee31e6276083b39ae712d2879fc12e04 \ + --hash=sha256:86b282677bad0c4de59c5251211eba433c9157ea3fe0b724591ad5e389cfc77a \ + --hash=sha256:891a33fb58164ed52ab99fd977cf3a88cb49be56ea9e8a4f6299a9a17876a661 \ + --hash=sha256:89fc018ec3cf03c3bff8d6651af2c84f5b7ca7f0c8d0799e5550d8cdd105723d \ + --hash=sha256:8bae3f14abfe1bee1e6fd99c5a21e28ee1df4b8d4e2551856079cfb776cc14fc \ + --hash=sha256:8de56b53a0bee3866516121002f9ec5c97bbd401aafc4a074abf9e909d11a130 \ + --hash=sha256:8f1d0d8ad3b5115c524dddfb882c5752f04c9a1852a33a83a5dc04f99304c1bc \ + --hash=sha256:9112f1e8f2db7f25845906c3f5a4e51256a538e81494ed5be5e36be345702a82 \ + --hash=sha256:91979eea022d25ed12cf6f8ac06d789bd1ffab8da5ac213d1ad21c0529745a06 \ + --hash=sha256:9810d0a81e24e8e04cb53ef340f3290b5ad67c2df03b6ffd63621d9499180ff9 \ + --hash=sha256:98d22acd6c06864df30df0860307fb6fb6ca98af0bdd0d0877fc182bf580afbd \ + --hash=sha256:9a966db6f1fef8209827fe8cc68e232ab7c5e49de0c44b1bcad60086dec74998 \ + --hash=sha256:9b8408bbd14e0df3feed03c7719269f0f7e0ddb4b6a44f53eb2102a645a4c8bf \ + --hash=sha256:9eff720eda5beaa69cbc13f851d76d3fefcd1f3688a1ce0e850f6e71b99769b4 \ + --hash=sha256:a192c5743d103061a5e7b62792395f54257f7f7418afa22a44e2b02bb749608b \ + --hash=sha256:a49e387bde691c962483499a4e3e2741ebb577e26ea69d612e430d4d9dcddccf \ + --hash=sha256:a6f3ec8a43fccd1850d2a8939f5ac7d927ed0fe711eded1a078e840dbe14d329 \ + --hash=sha256:a751bfc39b280e31932c8206c814f67ed0f45ac182977bb1116aa3cbfbc8bba8 \ + --hash=sha256:a78bfeef7d5dc83753753ea44b3df7c7d4a4593fb4874f0401482744eeb5ed15 \ + --hash=sha256:a83218a2b38e645368f7f5e06a4dd4c9606b1b148703e5afe9f3fa9566940c96 \ + --hash=sha256:a921412385671db26dc4b078529ac6001c93445f06ff71e339a315c0e261d459 \ + --hash=sha256:ae4de9e348b2ef2640e5de4368cc2f18743b60ffb45daf156a3d8c6a99ff6e98 \ + --hash=sha256:b2d438848942e83c0a0dcda5023fc8431535c00f671545e76f09ec08d66c57a3 \ + --hash=sha256:b38b87381a7908a7f24ab452eab1ded12fd1d0f280e608073e3197ecdfacc43d \ + --hash=sha256:b48fa436a40fb4f74c6fb8a56f75ca98384ba0d611df25d20fc3afee6687ded3 \ + --hash=sha256:b9021545864ca5155c88f89711ab05585235782cd3a1764f19fd8c8ecfc905f4 \ + --hash=sha256:ba497b605bca3ec31e8b50b68cf8593f4b7770f777e0aef5a02e986f0895cb17 \ + --hash=sha256:baf438334499cdaa43488c359f2c5eaf8ad79dbb84727c6e05d892dcd6be2dd7 \ + --hash=sha256:bd6d1d9b15e97b5feb59942a3af5b96f544f00e136fdfdbac7c43b3a73e74772 \ + --hash=sha256:bdfd266a145085e3f7fe9041528fe2657c2c2aafefffe4f822eb9a694d325d12 \ + --hash=sha256:be4543b193f6992be17839f2db7bd6eeff3e325a8798f8900589b17bd79cee2f \ + --hash=sha256:c20c5438bb66f1f36f447d3b122f58a41b7218d086024567c42da0a873cf28fe \ + --hash=sha256:c24ed28f09e41c09ebe682cd0213210283b5f06d65a557de1c554832c0230a4c \ + --hash=sha256:c3ec9837752dfed493642952ead9829fb3c4befaa9b4f4a74f32e626a1fba664 \ + --hash=sha256:c4caf1eccc4e62c2380b712d51d54579618b4b7ab7321d16ac1bd3db95b7ca7c \ + --hash=sha256:c4e182799abb75e09f2d372f67ec8c6916130507b0895c7ff7030944fda98f83 \ + --hash=sha256:c7109079e11661299709618c4e3d0bbfa77970424653baa8e7df5cfeb97053c3 \ + --hash=sha256:c7c9e21519d33aa243065062a20810bbe190c9a574498de9ba604b99c2f34fb5 \ + --hash=sha256:c7f2e90bf2a42106b052013e0bd0ba0c8e7246de50f8ab373ad7595b1974a402 \ + --hash=sha256:c9b7d96e8229d5d234f9d1f9f2a8df1eac8606863d116a60618d371884d96f14 \ + --hash=sha256:cb50910035d1abd1899a23b8ac1fd66f872636abf74360e5826a22405548e006 \ + --hash=sha256:d026d00adfaf245510ef6778eaf49def94381420efc02b3d3305a66c3d85297e \ + --hash=sha256:d0ba567e7597cf94c400320e16b3f2c03863b64f462234394be509033074c129 \ + --hash=sha256:d22995a79625d756d9bce98fd37e1d6e1b22d2c89501dc55d845c5a433fc3250 \ + --hash=sha256:d3140697c9fb77b7e1a7e64cafb21e8c2c7db328b584168c7591a271c78115a7 \ + --hash=sha256:d6462c127d89257925d2c06d023b6b9975e3310acad4b5d262bd48ed899ddbc7 \ + --hash=sha256:d659e30e896f95e7a49ae7e4f4729df70843d83d9a12f572c943e1e4ac21c1c8 \ + --hash=sha256:d74d17fb66f1329d965b533b18dc135eb85a25cfe1e25c06b6936630f0bfde1b \ + --hash=sha256:dab98e2e20de12b03868011f82438a5b3e5c5a215ae9c8ab3cd8c2e1dc708b90 \ + --hash=sha256:dd2d3bb4d139eee4fe8cbc380352aff0e999f85a09d75a6f9a024d0a2ca02e13 \ + --hash=sha256:dd65a1f996d5d3a011dd4a9ba39f4981ed48878c77dc51de55f77d520917baf5 \ + --hash=sha256:ded46cc4b18d802f98af954e54cfaf32fcfb7ee37b25b1cf7bda11ea0aaa130f \ + --hash=sha256:e22ee225666f1ca8a395c7c2e6839e971616293247919f0a71d38166483e6a55 \ + --hash=sha256:e3c0281f6ab8cd7a38068db921bd75945a27d141c5f985ab4b27a0acb8cd79c3 \ + --hash=sha256:e5dd2069ee42291c9ab06c4cd7ae0b622181af0ce64ce209b000bf43776dd416 \ + --hash=sha256:e83910e46846db76bbf5eacf0d672be55ece62061770047f558bdff346e26a7e \ + --hash=sha256:e87a9b40573a982e71e6d9c2e25537da4618df226a252a674000a274409dbad9 \ + --hash=sha256:e9bad80ca6525be4c9b51c0bdb71a893b5ac87ccf3a54f37fcb5c210253b8192 \ + --hash=sha256:ececc0715c2dd96e902a06f555dc6ec5b6a8f308ee088d5214bd4ea821cc378d \ + --hash=sha256:ef8c79f8c341a1aa36dc465cdd1640c60023b3b9bfebfcecd8a7e250f9f9927a \ + --hash=sha256:efc9885da73528dd202f361150ff12537e5cd426e5275c522f38337c68137472 \ + --hash=sha256:f7d8b0931a3da7bab8ca8f1dfb76229e23e928ebb0714b44f4efa1d599ab2730 \ + --hash=sha256:f95b756f8524e453792dfc6800a17b87c405afdbc054c37e3b36fd1f7f0e50fe \ + --hash=sha256:f972a02e6f1746f22f0b1a9eade9a2ce6e35313d3f58b610044c43dc7075a106 \ + --hash=sha256:fa87b5fa1bc0c67a6c14517c32278299ac292ccfe7ba937026f537a80532255f \ + --hash=sha256:fe91680cf04e4414cddc62f82a52a3a3073db22ad6b1e7e3efac6184b8e4af1f \ + --hash=sha256:fed688e2406d5f02e69d389e4378c92d63737ce44ce4afbc5f4587b178a39c17 \ + --hash=sha256:ff2df3ced63d4d1c99130aa6fc686a363a5d7c07a7f4d17646f0197f673da118 \ + --hash=sha256:ff6967a7660218a0aeacc840dcb0190b72f082a9c9a9cd5aa050153779f2c603 \ + --hash=sha256:ffd00a552235fa20e0d2b3071d2a067d854456fc0fa78554790bbd37453326d6 + # via albucore +sympy==1.13.1 \ + --hash=sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f \ + --hash=sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # torch +tabledata==1.3.3 \ + --hash=sha256:4abad1c996d8607e23b045b44dc0c5f061668f3c37585302c5f6c84c93a89962 \ + --hash=sha256:c90daaba9a408e4397934b3ff2f6c06797d5289676420bf520c741ad43e6ff91 + # via pytablewriter +tabulate==0.9.0 \ + --hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \ + --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # sacrebleu +tblib==3.0.0 \ + --hash=sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129 \ + --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +tcolorpy==0.1.6 \ + --hash=sha256:8c15cb3167f30b0a433d72297e9d68667c825bd9e2af41c8dd7dfbd3d7f7e207 \ + --hash=sha256:8cea0bf5f8cf03f77528a9acfbf312df935573892ba5ea3b2516e61fa54de9a5 + # via pytablewriter +tensorboardx==2.6.2.2 \ + --hash=sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8 \ + --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # pytorch-lightning +threadpoolctl==3.1.0 \ + --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \ + --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # scikit-learn +tiktoken==0.7.0 \ + --hash=sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704 \ + --hash=sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f \ + --hash=sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410 \ + --hash=sha256:0bc603c30b9e371e7c4c7935aba02af5994a909fc3c0fe66e7004070858d3f8f \ + --hash=sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1 \ + --hash=sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6 \ + --hash=sha256:10c7674f81e6e350fcbed7c09a65bca9356eaab27fb2dac65a1e440f2bcfe30f \ + --hash=sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98 \ + --hash=sha256:13c94efacdd3de9aff824a788353aa5749c0faee1fbe3816df365ea450b82311 \ + --hash=sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89 \ + --hash=sha256:21a20c3bd1dd3e55b91c1331bf25f4af522c525e771691adbc9a69336fa7f702 \ + --hash=sha256:2398fecd38c921bcd68418675a6d155fad5f5e14c2e92fcf5fe566fa5485a858 \ + --hash=sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9 \ + --hash=sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c \ + --hash=sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f \ + --hash=sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685 \ + --hash=sha256:5d4511c52caacf3c4981d1ae2df85908bd31853f33d30b345c8b6830763f769c \ + --hash=sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908 \ + --hash=sha256:79383a6e2c654c6040e5f8506f3750db9ddd71b550c724e673203b4f6b4b4590 \ + --hash=sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b \ + --hash=sha256:861f9ee616766d736be4147abac500732b505bf7013cfaf019b85892637f235e \ + --hash=sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992 \ + --hash=sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a \ + --hash=sha256:8c46d7af7b8c6987fac9b9f61041b452afe92eb087d29c9ce54951280f899a97 \ + --hash=sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25 \ + --hash=sha256:8e58c7eb29d2ab35a7a8929cbeea60216a4ccdf42efa8974d8e176d50c9a3df5 \ + --hash=sha256:8f5f6afb52fb8a7ea1c811e435e4188f2bef81b5e0f7a8635cc79b0eef0193d6 \ + --hash=sha256:959d993749b083acc57a317cbc643fb85c014d055b2119b739487288f4e5d1cb \ + --hash=sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769 \ + --hash=sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7 \ + --hash=sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350 \ + --hash=sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4 \ + --hash=sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226 \ + --hash=sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf \ + --hash=sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225 \ + --hash=sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # openai-whisper +tokenizers==0.15.2 \ + --hash=sha256:0143e7d9dcd811855c1ce1ab9bf5d96d29bf5e528fd6c7824d0465741e8c10fd \ + --hash=sha256:02272fe48280e0293a04245ca5d919b2c94a48b408b55e858feae9618138aeda \ + --hash=sha256:02458bee6f5f3139f1ebbb6d042b283af712c0981f5bc50edf771d6b762d5e4f \ + --hash=sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee \ + --hash=sha256:05a77cbfebe28a61ab5c3891f9939cc24798b63fa236d84e5f29f3a85a200c00 \ + --hash=sha256:064ff87bb6acdbd693666de9a4b692add41308a2c0ec0770d6385737117215f2 \ + --hash=sha256:06cd0487b1cbfabefb2cc52fbd6b1f8d4c37799bd6c6e1641281adaa6b2504a7 \ + --hash=sha256:0774bccc6608eca23eb9d620196687c8b2360624619623cf4ba9dc9bd53e8b51 \ + --hash=sha256:0cf6b7f1d4dc59af960e6ffdc4faffe6460bbfa8dce27a58bf75755ffdb2526d \ + --hash=sha256:0ef06b9707baeb98b316577acb04f4852239d856b93e9ec3a299622f6084e4be \ + --hash=sha256:0ff110ecc57b7aa4a594396525a3451ad70988e517237fe91c540997c4e50e29 \ + --hash=sha256:107089f135b4ae7817affe6264f8c7a5c5b4fd9a90f9439ed495f54fcea56fb4 \ + --hash=sha256:112a1dd436d2cc06e6ffdc0b06d55ac019a35a63afd26475205cb4b1bf0bfbff \ + --hash=sha256:13ca3611de8d9ddfbc4dc39ef54ab1d2d4aaa114ac8727dfdc6a6ec4be017378 \ + --hash=sha256:158be8ea8554e5ed69acc1ce3fbb23a06060bd4bbb09029431ad6b9a466a7121 \ + --hash=sha256:1cf75d32e8d250781940d07f7eece253f2fe9ecdb1dc7ba6e3833fa17b82fcbc \ + --hash=sha256:1ddba9a2b0c8c81633eca0bb2e1aa5b3a15362b1277f1ae64176d0f6eba78ab1 \ + --hash=sha256:20ea60479de6fc7b8ae756b4b097572372d7e4032e2521c1bbf3d90c90a99ff0 \ + --hash=sha256:2277c36d2d6cdb7876c274547921a42425b6810d38354327dd65a8009acf870c \ + --hash=sha256:237d1bf3361cf2e6463e6c140628e6406766e8b27274f5fcc62c747ae3c6f094 \ + --hash=sha256:2735ecbbf37e52db4ea970e539fd2d450d213517b77745114f92867f3fc246eb \ + --hash=sha256:2ef09bbc16519f6c25d0c7fc0c6a33a6f62923e263c9d7cca4e58b8c61572afb \ + --hash=sha256:32e16bdeffa7c4f46bf2152172ca511808b952701d13e7c18833c0b73cb5c23f \ + --hash=sha256:361abdc068e8afe9c5b818769a48624687fb6aaed49636ee39bec4e95e1a215b \ + --hash=sha256:37aaec5a52e959892870a7c47cef80c53797c0db9149d458460f4f31e2fb250e \ + --hash=sha256:3835738be1de66624fff2f4f6f6684775da4e9c00bde053be7564cbf3545cc66 \ + --hash=sha256:38bfb0204ff3246ca4d5e726e8cc8403bfc931090151e6eede54d0e0cf162ef0 \ + --hash=sha256:38d7ab43c6825abfc0b661d95f39c7f8af2449364f01d331f3b51c94dcff7221 \ + --hash=sha256:3b919afe4df7eb6ac7cafd2bd14fb507d3f408db7a68c43117f579c984a73843 \ + --hash=sha256:3ef5dd1d39797044642dbe53eb2bc56435308432e9c7907728da74c69ee2adca \ + --hash=sha256:3f5e64b0389a2be47091d8cc53c87859783b837ea1a06edd9d8e04004df55a5c \ + --hash=sha256:40b6a4c78da863ff26dbd5ad9a8ecc33d8a8d97b535172601cf00aee9d7ce9ce \ + --hash=sha256:41e39b41e5531d6b2122a77532dbea60e171ef87a3820b5a3888daa847df4153 \ + --hash=sha256:44f2a832cd0825295f7179eaf173381dc45230f9227ec4b44378322d900447c9 \ + --hash=sha256:454c203164e07a860dbeb3b1f4a733be52b0edbb4dd2e5bd75023ffa8b49403a \ + --hash=sha256:4620cca5c2817177ee8706f860364cc3a8845bc1e291aaf661fb899e5d1c45b0 \ + --hash=sha256:473c83c5e2359bb81b0b6fde870b41b2764fcdd36d997485e07e72cc3a62264a \ + --hash=sha256:48e2b9335be2bc0171df9281385c2ed06a15f5cf121c44094338306ab7b33f2c \ + --hash=sha256:494fdbe5932d3416de2a85fc2470b797e6f3226c12845cadf054dd906afd0442 \ + --hash=sha256:4b19a808d8799fda23504a5cd31d2f58e6f52f140380082b352f877017d6342b \ + --hash=sha256:4c4b89038a684f40a6b15d6b09f49650ac64d951ad0f2a3ea9169687bbf2a8ba \ + --hash=sha256:4e022fe65e99230b8fd89ebdfea138c24421f91c1a4f4781a8f5016fd5cdfb4d \ + --hash=sha256:4eeb12daf02a59e29f578a865f55d87cd103ce62bd8a3a5874f8fdeaa82e336b \ + --hash=sha256:4fe1f74a902bee74a3b25aff180fbfbf4f8b444ab37c4d496af7afd13a784ed2 \ + --hash=sha256:508711a108684111ec8af89d3a9e9e08755247eda27d0ba5e3c50e9da1600f6d \ + --hash=sha256:5179c271aa5de9c71712e31cb5a79e436ecd0d7532a408fa42a8dbfa4bc23fd9 \ + --hash=sha256:524e60da0135e106b254bd71f0659be9f89d83f006ea9093ce4d1fab498c6d0d \ + --hash=sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012 \ + --hash=sha256:5645938a42d78c4885086767c70923abad047163d809c16da75d6b290cb30bbe \ + --hash=sha256:5ab2a4d21dcf76af60e05af8063138849eb1d6553a0d059f6534357bce8ba364 \ + --hash=sha256:620beacc3373277700d0e27718aa8b25f7b383eb8001fba94ee00aeea1459d89 \ + --hash=sha256:64c35e09e9899b72a76e762f9854e8750213f67567787d45f37ce06daf57ca78 \ + --hash=sha256:64c86e5e068ac8b19204419ed8ca90f9d25db20578f5881e337d203b314f4104 \ + --hash=sha256:67a0fe1e49e60c664915e9fb6b0cb19bac082ab1f309188230e4b2920230edb3 \ + --hash=sha256:6a9b648a58281c4672212fab04e60648fde574877d0139cd4b4f93fe28ca8944 \ + --hash=sha256:6d76f00f5c32da36c61f41c58346a4fa7f0a61be02f4301fd30ad59834977cc3 \ + --hash=sha256:6fc7083ab404019fc9acafe78662c192673c1e696bd598d16dc005bd663a5cf9 \ + --hash=sha256:708bb3e4283177236309e698da5fcd0879ce8fd37457d7c266d16b550bcbbd18 \ + --hash=sha256:7c0d8b52664ab2d4a8d6686eb5effc68b78608a9008f086a122a7b2996befbab \ + --hash=sha256:7c7d18b733be6bbca8a55084027f7be428c947ddf871c500ee603e375013ffba \ + --hash=sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5 \ + --hash=sha256:7ef789f83eb0f9baeb4d09a86cd639c0a5518528f9992f38b28e819df397eb06 \ + --hash=sha256:82f8652a74cc107052328b87ea8b34291c0f55b96d8fb261b3880216a9f9e48e \ + --hash=sha256:865c60ae6eaebdde7da66191ee9b7db52e542ed8ee9d2c653b6d190a9351b980 \ + --hash=sha256:89cd1cb93e4b12ff39bb2d626ad77e35209de9309a71e4d3d4672667b4b256e7 \ + --hash=sha256:8b9ec69247a23747669ec4b0ca10f8e3dfb3545d550258129bd62291aabe8605 \ + --hash=sha256:918fbb0eab96fe08e72a8c2b5461e9cce95585d82a58688e7f01c2bd546c79d0 \ + --hash=sha256:93268e788825f52de4c7bdcb6ebc1fcd4a5442c02e730faa9b6b08f23ead0e24 \ + --hash=sha256:936bf3842db5b2048eaa53dade907b1160f318e7c90c74bfab86f1e47720bdd6 \ + --hash=sha256:968fa1fb3c27398b28a4eca1cbd1e19355c4d3a6007f7398d48826bbe3a0f728 \ + --hash=sha256:9ba9f6895af58487ca4f54e8a664a322f16c26bbb442effd01087eba391a719e \ + --hash=sha256:9c861d35e8286a53e06e9e28d030b5a05bcbf5ac9d7229e561e53c352a85b1fc \ + --hash=sha256:9e0480c452217edd35eca56fafe2029fb4d368b7c0475f8dfa3c5c9c400a7456 \ + --hash=sha256:a308a607ca9de2c64c1b9ba79ec9a403969715a1b8ba5f998a676826f1a7039d \ + --hash=sha256:a33ab881c8fe70474980577e033d0bc9a27b7ab8272896e500708b212995d834 \ + --hash=sha256:a47acfac7e511f6bbfcf2d3fb8c26979c780a91e06fb5b9a43831b2c0153d024 \ + --hash=sha256:a907d76dcfda37023ba203ab4ceeb21bc5683436ebefbd895a0841fd52f6f6f2 \ + --hash=sha256:a9b9b070fdad06e347563b88c278995735292ded1132f8657084989a4c84a6d5 \ + --hash=sha256:b10122d8d8e30afb43bb1fe21a3619f62c3e2574bff2699cf8af8b0b6c5dc4a3 \ + --hash=sha256:b8fcfa81bcb9447df582c5bc96a031e6df4da2a774b8080d4f02c0c16b42be0b \ + --hash=sha256:c1257f4394be0d3b00de8c9e840ca5601d0a4a8438361ce9c2b05c7d25f6057b \ + --hash=sha256:c2d60f5246f4da9373f75ff18d64c69cbf60c3bca597290cea01059c336d2470 \ + --hash=sha256:c73e2e74bbb07910da0d37c326869f34113137b23eadad3fc00856e6b3d9930c \ + --hash=sha256:c9a09cd26cca2e1c349f91aa665309ddb48d71636370749414fbf67bc83c5343 \ + --hash=sha256:c9a2ebdd2ad4ec7a68e7615086e633857c85e2f18025bd05d2a4399e6c5f7169 \ + --hash=sha256:cc90102ed17271cf0a1262babe5939e0134b3890345d11a19c3145184b706055 \ + --hash=sha256:ccd73a82751c523b3fc31ff8194702e4af4db21dc20e55b30ecc2079c5d43cb7 \ + --hash=sha256:ccec77aa7150e38eec6878a493bf8c263ff1fa8a62404e16c6203c64c1f16a26 \ + --hash=sha256:cf27fd43472e07b57cf420eee1e814549203d56de00b5af8659cb99885472f1f \ + --hash=sha256:cf7fd9a5141634fa3aa8d6b7be362e6ae1b4cda60da81388fa533e0b552c98fd \ + --hash=sha256:cfed5c64e5be23d7ee0f0e98081a25c2a46b0b77ce99a4f0605b1ec43dd481fa \ + --hash=sha256:d0222c5b7c9b26c0b4822a82f6a7011de0a9d3060e1da176f66274b70f846b98 \ + --hash=sha256:d05a1b06f986d41aed5f2de464c003004b2df8aaf66f2b7628254bcbfb72a438 \ + --hash=sha256:d44ba80988ff9424e33e0a49445072ac7029d8c0e1601ad25a0ca5f41ed0c1d6 \ + --hash=sha256:d857be2df69763362ac699f8b251a8cd3fac9d21893de129bc788f8baaef2693 \ + --hash=sha256:d88b96ff0fe8e91f6ef01ba50b0d71db5017fa4e3b1d99681cec89a85faf7bf7 \ + --hash=sha256:daa348f02d15160cb35439098ac96e3a53bacf35885072611cd9e5be7d333daa \ + --hash=sha256:db35825f6d54215f6b6009a7ff3eedee0848c99a6271c870d2826fbbedf31a38 \ + --hash=sha256:dc3ad9ebc76eabe8b1d7c04d38be884b8f9d60c0cdc09b0aa4e3bcf746de0388 \ + --hash=sha256:dce74266919b892f82b1b86025a613956ea0ea62a4843d4c4237be2c5498ed3a \ + --hash=sha256:de19c4dc503c612847edf833c82e9f73cd79926a384af9d801dcf93f110cea4e \ + --hash=sha256:e2ea752f2b0fe96eb6e2f3adbbf4d72aaa1272079b0dfa1145507bd6a5d537e6 \ + --hash=sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91 \ + --hash=sha256:ea09acd2fe3324174063d61ad620dec3bcf042b495515f27f638270a7d466e8b \ + --hash=sha256:ea621a7eef4b70e1f7a4e84dd989ae3f0eeb50fc8690254eacc08acb623e82f1 \ + --hash=sha256:f1b3b31884dc8e9b21508bb76da80ebf7308fdb947a17affce815665d5c4d028 \ + --hash=sha256:f33dfbdec3784093a9aebb3680d1f91336c56d86cc70ddf88708251da1fe9064 \ + --hash=sha256:f3f40604f5042ff210ba82743dda2b6aa3e55aa12df4e9f2378ee01a17e2855e \ + --hash=sha256:f86593c18d2e6248e72fb91c77d413a815153b8ea4e31f7cd443bdf28e467670 \ + --hash=sha256:fb16ba563d59003028b678d2361a27f7e4ae0ab29c7a80690efa20d829c81fdb + # via + # -c release/ray_release/byod/requirements_compiled.txt + # transformers +tomli==2.0.1 \ + --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ + --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # jupytext + # pytest +torch==2.3.0 \ + --hash=sha256:09c81c5859a5b819956c6925a405ef1cdda393c9d8a01ce3851453f699d3358c \ + --hash=sha256:1bf023aa20902586f614f7682fedfa463e773e26c58820b74158a72470259459 \ + --hash=sha256:20572f426965dd8a04e92a473d7e445fa579e09943cc0354f3e6fef6130ce061 \ + --hash=sha256:493d54ee2f9df100b5ce1d18c96dbb8d14908721f76351e908c9d2622773a788 \ + --hash=sha256:4fb27b35dbb32303c2927da86e27b54a92209ddfb7234afb1949ea2b3effffea \ + --hash=sha256:5515503a193781fd1b3f5c474e89c9dfa2faaa782b2795cc4a7ab7e67de923f6 \ + --hash=sha256:6ae9f64b09516baa4ef890af0672dc981c20b1f0d829ce115d4420a247e88fba \ + --hash=sha256:729804e97b7cf19ae9ab4181f91f5e612af07956f35c8b2c8e9d9f3596a8e877 \ + --hash=sha256:758ef938de87a2653bba74b91f703458c15569f1562bf4b6c63c62d9c5a0c1f5 \ + --hash=sha256:760f8bedff506ce9e6e103498f9b1e9e15809e008368594c3a66bf74a8a51380 \ + --hash=sha256:a306c87a3eead1ed47457822c01dfbd459fe2920f2d38cbdf90de18f23f72542 \ + --hash=sha256:b0de2bdc0486ea7b14fc47ff805172df44e421a7318b7c4d92ef589a75d27410 \ + --hash=sha256:bce43af735c3da16cc14c7de2be7ad038e2fbf75654c2e274e575c6c05772ace \ + --hash=sha256:cd0dc498b961ab19cb3f8dbf0c6c50e244f2f37dbfa05754ab44ea057c944ef9 \ + --hash=sha256:d24e328226d8e2af7cf80fcb1d2f1d108e0de32777fab4aaa2b37b9765d8be73 \ + --hash=sha256:d8ea5a465dbfd8501f33c937d1f693176c9aef9d1c1b0ca1d44ed7b0a18c52ac \ + --hash=sha256:dca986214267b34065a79000cee54232e62b41dff1ec2cab9abc3fc8b3dee0ad \ + --hash=sha256:e05f836559251e4096f3786ee99f4a8cbe67bc7fbedba8ad5e799681e47c5e80 \ + --hash=sha256:e65ba85ae292909cde0dde6369826d51165a3fc8823dc1854cd9432d7f79b932 \ + --hash=sha256:f9b98bf1a3c8af2d4c41f0bf1433920900896c446d1ddc128290ff146d1eb4bd + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # accelerate + # bitsandbytes + # deepspeed + # fairscale + # lm-eval + # openai-whisper + # peft + # pytorch-lightning + # torchaudio + # torchmetrics + # torchtext +torchaudio==2.3.0 \ + --hash=sha256:04bc960cf1aef3b469b095a432a25496bc28197850fc2d90b7b52d6b5255487b \ + --hash=sha256:21bb6d1b384fc8895133f01489133d575d4a715cd81734b89651fb0264bd8b80 \ + --hash=sha256:341ca3048ce6edcc731519b30187f0b13acb245c4efe16f925f69f9d533546e1 \ + --hash=sha256:342108da83aa19a457c9a128b1206fadb603753b51cca022b9f585aac2f4754c \ + --hash=sha256:535144a2fbba95fbb3b883224ffcf44788e4cecbabbe49c4a1ae3e7a74f71485 \ + --hash=sha256:61edb02ae9c0efea4399f9c1f899601136b24f35d430548284ea8eaf6ccbe3be \ + --hash=sha256:668a8b694e5522cff28cd5e02d01aa1b75ce940aa9fb40480892bdc623b1735d \ + --hash=sha256:6c1f538018b85d7766835d042e555de2f096f7a69bba6b16031bf42a914dd9e1 \ + --hash=sha256:6cd6d45cf8a45c89953e35434d9a461feb418e51e760adafc606a903dcbb9bd5 \ + --hash=sha256:73fedb2c631e01fa10feaac308540b836aefe758e55ca3ee026335e5d01e8e30 \ + --hash=sha256:7ba93265455dc363385e98c0cfcaeb586b7401af8a2c824811ee1466134a4f30 \ + --hash=sha256:8f2e0a28740bb0ee66369f92c811f33c0a47e6fcfc2de9cee89746472d713906 \ + --hash=sha256:a3cbb230e2bb38ad1a1dd74aea242a154a9f76ab819d9c058b2c5074a9f5d7d2 \ + --hash=sha256:b4cc9cef5c98ed37e9405c4e0b0e6413bc101f3f49d45dc4f1d4e927757fe41e \ + --hash=sha256:c5e63cc2dbf179088b6cdfd21ecdbb943aa003c780075aa440162f231ee72db2 \ + --hash=sha256:d243bb8a1ee263c2cdafb9feed1569c3742d8135731e8f7818de12f4e0c83e28 \ + --hash=sha256:e5bb50b7a4874ed97086c9e516dd90b103d954edcb5ed4b36f4fc22c4000a5a7 \ + --hash=sha256:ed1866f508dc689c4f682d330b2ed4c83108d35865e4fb89431819364d8ad9ed \ + --hash=sha256:f4b933776f20a36af5ddc57968fcb3da34dd03881db8d6760f3e1176803b9cf8 \ + --hash=sha256:fb3f52ed1d63b272c240d9bf051705312cb172212051b8a6a2f64d42e3cc1633 + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +torchmetrics==0.10.3 \ + --hash=sha256:9e6ab66175f2dc13e246c37485b2c27c77931dfe47fc2b81c76217b8efdc1e57 \ + --hash=sha256:b12cf92897545e24a825b0d168888c0f3052700c2901e2d4f7d90b252bc4a343 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # pytorch-lightning +torchtext==0.18.0 \ + --hash=sha256:077639a367e1f77b2c7cefd952ec83c9f830a7568fb49f10cbc100eb965da06b \ + --hash=sha256:0d60cde93217086372e6819806298a327aaa71f1818ff9c54380bbd5995dda78 \ + --hash=sha256:0f3855b2ada84f02298e72ad19c1a86f940df2f4ce62d89098955f3ae575d174 \ + --hash=sha256:1e00475dbf629ba529d27903f2dd6b53c4a559f1483539b8c2a821d393bd24cf \ + --hash=sha256:3dc446f74aaa9aebab045fbefd102752675258e72ba447982c65e010e1cfd29a \ + --hash=sha256:5826d5bbfe84a3c533e7e97659f72dbff73e1614c00c06709607d17c8446e09c \ + --hash=sha256:6694b823cb409706a0efe4d6b0ccf6b5be5af695fad29aa062f1f63bd296e77b \ + --hash=sha256:6dd72c5fbca0680cfef14cb620f8edf7b01e4121916f4b45e2d50f1cdba53fe9 \ + --hash=sha256:7ac7a392ae42d8b7675bdb31f1764bec77d4dec3a44bca5a2644c2cee3484453 \ + --hash=sha256:8e8d847a5e359718c1a97cab363de93aef93733c102528231f3b36c9cf580ce2 \ + --hash=sha256:99b5148f77aa5d94adb8d4d5b684181d87673b90ba266d858b1dd8812b418b95 \ + --hash=sha256:b74b0b1e93ff852a0410bdf2b630f4b00a870ec95be6266e01cd5e19acdf3e95 \ + --hash=sha256:d4bfe9cb7b08cf7ff3473309d9f24ed243c3a847bfbb2c932925551bf7a05892 \ + --hash=sha256:eeebf2ec950c9f9d3b276faf6948e763836c215747354f0340746b32512d11f6 \ + --hash=sha256:fec43696fb6fa7573e740a8175fd69681106574fd1fc840211182d941b88a2ba + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +tqdm==4.67.1 \ + --hash=sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 \ + --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # datasets + # deepspeed + # evaluate + # huggingface-hub + # nltk + # openai-whisper + # peft + # pytorch-lightning + # statsforecast + # torchtext + # tqdm-multiprocess + # transformers +tqdm-multiprocess==0.0.11 \ + --hash=sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa \ + --hash=sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7 + # via lm-eval +traitlets==5.14.3 \ + --hash=sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7 \ + --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + # via + # -c release/ray_release/byod/requirements_compiled.txt + # comm + # ipython + # ipywidgets + # jupyter-core + # matplotlib-inline + # nbformat +transformers==4.36.2 \ + --hash=sha256:462066c4f74ee52516f12890dcc9ec71d1a5e97998db621668455117a54330f6 \ + --hash=sha256:d8068e897e47793281501e547d2bbdfc5b8556409c2cb6c3d9e2ca77d4c0b4ec + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # lm-eval + # peft +triad==0.9.8 \ + --hash=sha256:2c0ba7d83977c6d4e7b59e3cc70727f858014ef7676c62d184aa8e63f7bef5de \ + --hash=sha256:5b67673124891981daf8afbab44b2e6358932ca35ef3ff38a25bc3e0f6f03f17 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # adagio + # fugue + # fugue-sql-antlr + # qpd +triton==2.3.0 \ + --hash=sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440 \ + --hash=sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0 \ + --hash=sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c \ + --hash=sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd \ + --hash=sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8 \ + --hash=sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65 + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # openai-whisper + # torch +trueskill==0.4.5 \ + --hash=sha256:9d62b48d2428369d712bd9becff9f9a2caa325e1a2ab5f9392d34bff757867bb + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +typepy[datetime]==1.3.2 \ + --hash=sha256:b69fd48b9f50cdb3809906eef36b855b3134ff66c8893a4f8580abddb0b39517 \ + --hash=sha256:d5d1022a424132622993800f1d2cd16cfdb691ac4e3b9c325f0fcb37799db1ae + # via + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # dataproperty + # pytablewriter + # tabledata +typer==0.12.3 \ + --hash=sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914 \ + --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +typing-extensions==4.12.2 \ + --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \ + --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # fastapi + # huggingface-hub + # lightning-utilities + # pydantic + # pydantic-core + # pyopenssl + # pytorch-lightning + # referencing + # torch + # typer + # typing-inspection +typing-inspection==0.4.1 \ + --hash=sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51 \ + --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # pydantic +urllib3==1.26.19 \ + --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ + --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in + # botocore + # geventhttpclient + # requests + # sentry-sdk +utilsforecast==0.2.0 \ + --hash=sha256:3db4245da4e361f26c8eaeef216c2d1206b20defbb033bf11d3e66ce2b1d6ef8 \ + --hash=sha256:a4825bf8da547e3dc552f9b9a7a8159341a118c3a5d122191f09bc3683cba433 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # statsforecast +uvicorn==0.22.0 \ + --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ + --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +validators==0.33.0 \ + --hash=sha256:134b586a98894f8139865953899fc2daeb3d0c35569552c5518f089ae43ed075 \ + --hash=sha256:535867e9617f0100e676a1257ba1e206b9bfd847ddc171e4d44811f07ff0bfbf + # via -r release/ray_release/byod/requirements_ml_byod_3.10.in +wandb==0.17.0 \ + --hash=sha256:1f692d3063a0d50474022cfe6668e1828260436d1cd40827d1e136b7f730c74c \ + --hash=sha256:56a1dd6e0e635cba3f6ed30b52c71739bdc2a3e57df155619d2d80ee952b4201 \ + --hash=sha256:ab582ca0d54d52ef5b991de0717350b835400d9ac2d3adab210022b68338d694 \ + --hash=sha256:b1b056b4cad83b00436cb76049fd29ecedc6045999dcaa5eba40db6680960ac2 \ + --hash=sha256:b7bed8a3dd404a639e6bf5fea38c6efe2fb98d416ff1db4fb51be741278ed328 \ + --hash=sha256:e1e6f04e093a6a027dcb100618ca23b122d032204b2ed4c62e4e991a48041a6b \ + --hash=sha256:feeb60d4ff506d2a6bc67f953b310d70b004faa789479c03ccd1559c6f1a9633 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +wcwidth==0.2.13 \ + --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ + --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # prompt-toolkit +werkzeug==2.3.8 \ + --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ + --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # flask + # locust +widgetsnbextension==4.0.11 \ + --hash=sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36 \ + --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # ipywidgets +xgboost==2.1.0 \ + --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ + --hash=sha256:43b16205689249d7509daf7a6ab00ad0e6c570b3a9c263cb32b26e39d9477bb3 \ + --hash=sha256:7144980923e76ce741c7b03a14d3bd7514db6de5c7cabe96ba95b229d274f5ca \ + --hash=sha256:73673c9bb85927db7fe2e3aed6df6d35dba708cfd6767cc63d4ea11dda2dede5 \ + --hash=sha256:74904b91c42524a6c32147fe5718569e78fb65911ff4499b053f81d0964514d4 \ + --hash=sha256:840a0c6e2119d8c8f260a5dace996ea064a267f62b301a25d7d452488a7ac860 \ + --hash=sha256:b2a456eb0f3d3e8fd8ab37e44ac288292bf8ea8744c294be9fd88713d27af810 \ + --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # -r release/ray_release/byod/requirements_ml_byod_3.10.in +xxhash==3.4.1 \ + --hash=sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b \ + --hash=sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9 \ + --hash=sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa \ + --hash=sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b \ + --hash=sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681 \ + --hash=sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f \ + --hash=sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2 \ + --hash=sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583 \ + --hash=sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8 \ + --hash=sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4 \ + --hash=sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0 \ + --hash=sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f \ + --hash=sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11 \ + --hash=sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920 \ + --hash=sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46 \ + --hash=sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088 \ + --hash=sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee \ + --hash=sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2 \ + --hash=sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e \ + --hash=sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624 \ + --hash=sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799 \ + --hash=sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137 \ + --hash=sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647 \ + --hash=sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc \ + --hash=sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2 \ + --hash=sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3 \ + --hash=sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663 \ + --hash=sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22 \ + --hash=sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1 \ + --hash=sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec \ + --hash=sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e \ + --hash=sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5 \ + --hash=sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6 \ + --hash=sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189 \ + --hash=sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476 \ + --hash=sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3 \ + --hash=sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562 \ + --hash=sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e \ + --hash=sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2 \ + --hash=sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0 \ + --hash=sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03 \ + --hash=sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b \ + --hash=sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93 \ + --hash=sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9 \ + --hash=sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844 \ + --hash=sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6 \ + --hash=sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de \ + --hash=sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b \ + --hash=sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff \ + --hash=sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940 \ + --hash=sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6 \ + --hash=sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df \ + --hash=sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4 \ + --hash=sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c \ + --hash=sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5 \ + --hash=sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747 \ + --hash=sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f \ + --hash=sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45 \ + --hash=sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3 \ + --hash=sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795 \ + --hash=sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b \ + --hash=sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228 \ + --hash=sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c \ + --hash=sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537 \ + --hash=sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78 \ + --hash=sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84 \ + --hash=sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb \ + --hash=sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5 \ + --hash=sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e \ + --hash=sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa \ + --hash=sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594 \ + --hash=sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a \ + --hash=sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641 \ + --hash=sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3 \ + --hash=sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc \ + --hash=sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520 \ + --hash=sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da \ + --hash=sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52 \ + --hash=sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54 \ + --hash=sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693 \ + --hash=sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6 \ + --hash=sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce \ + --hash=sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f \ + --hash=sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3 \ + --hash=sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a \ + --hash=sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f \ + --hash=sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51 \ + --hash=sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832 \ + --hash=sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf \ + --hash=sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b \ + --hash=sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31 \ + --hash=sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f \ + --hash=sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10 \ + --hash=sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f \ + --hash=sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9 \ + --hash=sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6 \ + --hash=sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a \ + --hash=sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3 \ + --hash=sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7 \ + --hash=sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa \ + --hash=sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817 \ + --hash=sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1 \ + --hash=sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0 \ + --hash=sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49 \ + --hash=sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b \ + --hash=sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d \ + --hash=sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb \ + --hash=sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # datasets + # evaluate +yarl==1.18.3 \ + --hash=sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba \ + --hash=sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193 \ + --hash=sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318 \ + --hash=sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee \ + --hash=sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e \ + --hash=sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1 \ + --hash=sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a \ + --hash=sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186 \ + --hash=sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1 \ + --hash=sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50 \ + --hash=sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640 \ + --hash=sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb \ + --hash=sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8 \ + --hash=sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc \ + --hash=sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5 \ + --hash=sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58 \ + --hash=sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2 \ + --hash=sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393 \ + --hash=sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24 \ + --hash=sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b \ + --hash=sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910 \ + --hash=sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c \ + --hash=sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272 \ + --hash=sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed \ + --hash=sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1 \ + --hash=sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04 \ + --hash=sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d \ + --hash=sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5 \ + --hash=sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d \ + --hash=sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889 \ + --hash=sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae \ + --hash=sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b \ + --hash=sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c \ + --hash=sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576 \ + --hash=sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34 \ + --hash=sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477 \ + --hash=sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990 \ + --hash=sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2 \ + --hash=sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512 \ + --hash=sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069 \ + --hash=sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a \ + --hash=sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6 \ + --hash=sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0 \ + --hash=sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8 \ + --hash=sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb \ + --hash=sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa \ + --hash=sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8 \ + --hash=sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e \ + --hash=sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e \ + --hash=sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985 \ + --hash=sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8 \ + --hash=sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1 \ + --hash=sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5 \ + --hash=sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690 \ + --hash=sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10 \ + --hash=sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789 \ + --hash=sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b \ + --hash=sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca \ + --hash=sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e \ + --hash=sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5 \ + --hash=sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59 \ + --hash=sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9 \ + --hash=sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8 \ + --hash=sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db \ + --hash=sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde \ + --hash=sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7 \ + --hash=sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb \ + --hash=sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3 \ + --hash=sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6 \ + --hash=sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285 \ + --hash=sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb \ + --hash=sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8 \ + --hash=sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482 \ + --hash=sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd \ + --hash=sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75 \ + --hash=sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760 \ + --hash=sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782 \ + --hash=sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53 \ + --hash=sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2 \ + --hash=sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1 \ + --hash=sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719 \ + --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # aiohttp +zipp==3.19.2 \ + --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \ + --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c + # via + # -c release/ray_release/byod/requirements_compiled.txt + # importlib-metadata +zope-event==5.0 \ + --hash=sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26 \ + --hash=sha256:bac440d8d9891b4068e2b5a2c5e2c9765a9df762944bda6955f96bb9b91e67cd + # via gevent +zope-interface==6.4.post2 \ + --hash=sha256:00b5c3e9744dcdc9e84c24ed6646d5cf0cf66551347b310b3ffd70f056535854 \ + --hash=sha256:0e4fa5d34d7973e6b0efa46fe4405090f3b406f64b6290facbb19dcbf642ad6b \ + --hash=sha256:136cacdde1a2c5e5bc3d0b2a1beed733f97e2dad8c2ad3c2e17116f6590a3827 \ + --hash=sha256:1730c93a38b5a18d24549bc81613223962a19d457cfda9bdc66e542f475a36f4 \ + --hash=sha256:1a62fd6cd518693568e23e02f41816adedfca637f26716837681c90b36af3671 \ + --hash=sha256:1c207e6f6dfd5749a26f5a5fd966602d6b824ec00d2df84a7e9a924e8933654e \ + --hash=sha256:2eccd5bef45883802848f821d940367c1d0ad588de71e5cabe3813175444202c \ + --hash=sha256:33ee982237cffaf946db365c3a6ebaa37855d8e3ca5800f6f48890209c1cfefc \ + --hash=sha256:3d136e5b8821073e1a09dde3eb076ea9988e7010c54ffe4d39701adf0c303438 \ + --hash=sha256:47654177e675bafdf4e4738ce58cdc5c6d6ee2157ac0a78a3fa460942b9d64a8 \ + --hash=sha256:47937cf2e7ed4e0e37f7851c76edeb8543ec9b0eae149b36ecd26176ff1ca874 \ + --hash=sha256:4ac46298e0143d91e4644a27a769d1388d5d89e82ee0cf37bf2b0b001b9712a4 \ + --hash=sha256:4c0b208a5d6c81434bdfa0f06d9b667e5de15af84d8cae5723c3a33ba6611b82 \ + --hash=sha256:551db2fe892fcbefb38f6f81ffa62de11090c8119fd4e66a60f3adff70751ec7 \ + --hash=sha256:599f3b07bde2627e163ce484d5497a54a0a8437779362395c6b25e68c6590ede \ + --hash=sha256:5ef8356f16b1a83609f7a992a6e33d792bb5eff2370712c9eaae0d02e1924341 \ + --hash=sha256:5fe919027f29b12f7a2562ba0daf3e045cb388f844e022552a5674fcdf5d21f1 \ + --hash=sha256:6f0a6be264afb094975b5ef55c911379d6989caa87c4e558814ec4f5125cfa2e \ + --hash=sha256:706efc19f9679a1b425d6fa2b4bc770d976d0984335eaea0869bd32f627591d2 \ + --hash=sha256:73f9752cf3596771c7726f7eea5b9e634ad47c6d863043589a1c3bb31325c7eb \ + --hash=sha256:762e616199f6319bb98e7f4f27d254c84c5fb1c25c908c2a9d0f92b92fb27530 \ + --hash=sha256:866a0f583be79f0def667a5d2c60b7b4cc68f0c0a470f227e1122691b443c934 \ + --hash=sha256:86a94af4a88110ed4bb8961f5ac72edf782958e665d5bfceaab6bf388420a78b \ + --hash=sha256:8e0343a6e06d94f6b6ac52fbc75269b41dd3c57066541a6c76517f69fe67cb43 \ + --hash=sha256:97e615eab34bd8477c3f34197a17ce08c648d38467489359cb9eb7394f1083f7 \ + --hash=sha256:a96e6d4074db29b152222c34d7eec2e2db2f92638d2b2b2c704f9e8db3ae0edc \ + --hash=sha256:b912750b13d76af8aac45ddf4679535def304b2a48a07989ec736508d0bbfbde \ + --hash=sha256:bc2676312cc3468a25aac001ec727168994ea3b69b48914944a44c6a0b251e79 \ + --hash=sha256:cebff2fe5dc82cb22122e4e1225e00a4a506b1a16fafa911142ee124febf2c9e \ + --hash=sha256:d22fce0b0f5715cdac082e35a9e735a1752dc8585f005d045abb1a7c20e197f9 \ + --hash=sha256:d3f7e001328bd6466b3414215f66dde3c7c13d8025a9c160a75d7b2687090d15 \ + --hash=sha256:d3fe667935e9562407c2511570dca14604a654988a13d8725667e95161d92e9b \ + --hash=sha256:dabb70a6e3d9c22df50e08dc55b14ca2a99da95a2d941954255ac76fd6982bc5 \ + --hash=sha256:e2fb8e8158306567a3a9a41670c1ff99d0567d7fc96fa93b7abf8b519a46b250 \ + --hash=sha256:e96ac6b3169940a8cd57b4f2b8edcad8f5213b60efcd197d59fbe52f0accd66e \ + --hash=sha256:fbf649bc77510ef2521cf797700b96167bb77838c40780da7ea3edd8b78044d1 + # via gevent +zstandard==0.23.0 \ + --hash=sha256:034b88913ecc1b097f528e42b539453fa82c3557e414b3de9d5632c80439a473 \ + --hash=sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916 \ + --hash=sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15 \ + --hash=sha256:12a289832e520c6bd4dcaad68e944b86da3bad0d339ef7989fb7e88f92e96072 \ + --hash=sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4 \ + --hash=sha256:157e89ceb4054029a289fb504c98c6a9fe8010f1680de0201b3eb5dc20aa6d9e \ + --hash=sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26 \ + --hash=sha256:1e172f57cd78c20f13a3415cc8dfe24bf388614324d25539146594c16d78fcc8 \ + --hash=sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5 \ + --hash=sha256:203d236f4c94cd8379d1ea61db2fce20730b4c38d7f1c34506a31b34edc87bdd \ + --hash=sha256:27d3ef2252d2e62476389ca8f9b0cf2bbafb082a3b6bfe9d90cbcbb5529ecf7c \ + --hash=sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db \ + --hash=sha256:2ef230a8fd217a2015bc91b74f6b3b7d6522ba48be29ad4ea0ca3a3775bf7dd5 \ + --hash=sha256:2ef3775758346d9ac6214123887d25c7061c92afe1f2b354f9388e9e4d48acfc \ + --hash=sha256:2f146f50723defec2975fb7e388ae3a024eb7151542d1599527ec2aa9cacb152 \ + --hash=sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269 \ + --hash=sha256:32ba3b5ccde2d581b1e6aa952c836a6291e8435d788f656fe5976445865ae045 \ + --hash=sha256:34895a41273ad33347b2fc70e1bff4240556de3c46c6ea430a7ed91f9042aa4e \ + --hash=sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d \ + --hash=sha256:38302b78a850ff82656beaddeb0bb989a0322a8bbb1bf1ab10c17506681d772a \ + --hash=sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb \ + --hash=sha256:4051e406288b8cdbb993798b9a45c59a4896b6ecee2f875424ec10276a895740 \ + --hash=sha256:40b33d93c6eddf02d2c19f5773196068d875c41ca25730e8288e9b672897c105 \ + --hash=sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274 \ + --hash=sha256:445e4cb5048b04e90ce96a79b4b63140e3f4ab5f662321975679b5f6360b90e2 \ + --hash=sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58 \ + --hash=sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b \ + --hash=sha256:519fbf169dfac1222a76ba8861ef4ac7f0530c35dd79ba5727014613f91613d4 \ + --hash=sha256:53dd9d5e3d29f95acd5de6802e909ada8d8d8cfa37a3ac64836f3bc4bc5512db \ + --hash=sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e \ + --hash=sha256:576856e8594e6649aee06ddbfc738fec6a834f7c85bf7cadd1c53d4a58186ef9 \ + --hash=sha256:59556bf80a7094d0cfb9f5e50bb2db27fefb75d5138bb16fb052b61b0e0eeeb0 \ + --hash=sha256:5d41d5e025f1e0bccae4928981e71b2334c60f580bdc8345f824e7c0a4c2a813 \ + --hash=sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e \ + --hash=sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512 \ + --hash=sha256:62136da96a973bd2557f06ddd4e8e807f9e13cbb0bfb9cc06cfe6d98ea90dfe0 \ + --hash=sha256:64585e1dba664dc67c7cdabd56c1e5685233fbb1fc1966cfba2a340ec0dfff7b \ + --hash=sha256:65308f4b4890aa12d9b6ad9f2844b7ee42c7f7a4fd3390425b242ffc57498f48 \ + --hash=sha256:66b689c107857eceabf2cf3d3fc699c3c0fe8ccd18df2219d978c0283e4c508a \ + --hash=sha256:6a41c120c3dbc0d81a8e8adc73312d668cd34acd7725f036992b1b72d22c1772 \ + --hash=sha256:6f77fa49079891a4aab203d0b1744acc85577ed16d767b52fc089d83faf8d8ed \ + --hash=sha256:72c68dda124a1a138340fb62fa21b9bf4848437d9ca60bd35db36f2d3345f373 \ + --hash=sha256:752bf8a74412b9892f4e5b58f2f890a039f57037f52c89a740757ebd807f33ea \ + --hash=sha256:76e79bc28a65f467e0409098fa2c4376931fd3207fbeb6b956c7c476d53746dd \ + --hash=sha256:774d45b1fac1461f48698a9d4b5fa19a69d47ece02fa469825b442263f04021f \ + --hash=sha256:77da4c6bfa20dd5ea25cbf12c76f181a8e8cd7ea231c673828d0386b1740b8dc \ + --hash=sha256:77ea385f7dd5b5676d7fd943292ffa18fbf5c72ba98f7d09fc1fb9e819b34c23 \ + --hash=sha256:80080816b4f52a9d886e67f1f96912891074903238fe54f2de8b786f86baded2 \ + --hash=sha256:80a539906390591dd39ebb8d773771dc4db82ace6372c4d41e2d293f8e32b8db \ + --hash=sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70 \ + --hash=sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259 \ + --hash=sha256:84433dddea68571a6d6bd4fbf8ff398236031149116a7fff6f777ff95cad3df9 \ + --hash=sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700 \ + --hash=sha256:8ed7d27cb56b3e058d3cf684d7200703bcae623e1dcc06ed1e18ecda39fee003 \ + --hash=sha256:9206649ec587e6b02bd124fb7799b86cddec350f6f6c14bc82a2b70183e708ba \ + --hash=sha256:983b6efd649723474f29ed42e1467f90a35a74793437d0bc64a5bf482bedfa0a \ + --hash=sha256:98da17ce9cbf3bfe4617e836d561e433f871129e3a7ac16d6ef4c680f13a839c \ + --hash=sha256:9c236e635582742fee16603042553d276cca506e824fa2e6489db04039521e90 \ + --hash=sha256:9da6bc32faac9a293ddfdcb9108d4b20416219461e4ec64dfea8383cac186690 \ + --hash=sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f \ + --hash=sha256:a0817825b900fcd43ac5d05b8b3079937073d2b1ff9cf89427590718b70dd840 \ + --hash=sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d \ + --hash=sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9 \ + --hash=sha256:a8fffdbd9d1408006baaf02f1068d7dd1f016c6bcb7538682622c556e7b68e35 \ + --hash=sha256:a9b07268d0c3ca5c170a385a0ab9fb7fdd9f5fd866be004c4ea39e44edce47dd \ + --hash=sha256:ab19a2d91963ed9e42b4e8d77cd847ae8381576585bad79dbd0a8837a9f6620a \ + --hash=sha256:ac184f87ff521f4840e6ea0b10c0ec90c6b1dcd0bad2f1e4a9a1b4fa177982ea \ + --hash=sha256:b0e166f698c5a3e914947388c162be2583e0c638a4703fc6a543e23a88dea3c1 \ + --hash=sha256:b2170c7e0367dde86a2647ed5b6f57394ea7f53545746104c6b09fc1f4223573 \ + --hash=sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09 \ + --hash=sha256:b4567955a6bc1b20e9c31612e615af6b53733491aeaa19a6b3b37f3b65477094 \ + --hash=sha256:b69bb4f51daf461b15e7b3db033160937d3ff88303a7bc808c67bbc1eaf98c78 \ + --hash=sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9 \ + --hash=sha256:be9b5b8659dff1f913039c2feee1aca499cfbc19e98fa12bc85e037c17ec6ca5 \ + --hash=sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9 \ + --hash=sha256:c16842b846a8d2a145223f520b7e18b57c8f476924bda92aeee3a88d11cfc391 \ + --hash=sha256:c363b53e257246a954ebc7c488304b5592b9c53fbe74d03bc1c64dda153fb847 \ + --hash=sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2 \ + --hash=sha256:d20fd853fbb5807c8e84c136c278827b6167ded66c72ec6f9a14b863d809211c \ + --hash=sha256:d2240ddc86b74966c34554c49d00eaafa8200a18d3a5b6ffbf7da63b11d74ee2 \ + --hash=sha256:d477ed829077cd945b01fc3115edd132c47e6540ddcd96ca169facff28173057 \ + --hash=sha256:d50d31bfedd53a928fed6707b15a8dbeef011bb6366297cc435accc888b27c20 \ + --hash=sha256:dc1d33abb8a0d754ea4763bad944fd965d3d95b5baef6b121c0c9013eaf1907d \ + --hash=sha256:dc5d1a49d3f8262be192589a4b72f0d03b72dcf46c51ad5852a4fdc67be7b9e4 \ + --hash=sha256:e2d1a054f8f0a191004675755448d12be47fa9bebbcffa3cdf01db19f2d30a54 \ + --hash=sha256:e7792606d606c8df5277c32ccb58f29b9b8603bf83b48639b7aedf6df4fe8171 \ + --hash=sha256:ed1708dbf4d2e3a1c5c69110ba2b4eb6678262028afd6c6fbcc5a8dac9cda68e \ + --hash=sha256:f2d4380bf5f62daabd7b751ea2339c1a21d1c9463f1feb7fc2bdcea2c29c3160 \ + --hash=sha256:f3513916e8c645d0610815c257cbfd3242adfd5c4cfa78be514e5a3ebb42a41b \ + --hash=sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58 \ + --hash=sha256:f83fa6cae3fff8e98691248c9320356971b59678a17f20656a9e59cd32cee6d8 \ + --hash=sha256:fa6ce8b52c5987b3e34d5674b0ab529a4602b632ebab0a93b07bfb4dfc8f8a33 \ + --hash=sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a \ + --hash=sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880 \ + --hash=sha256:fd30d9c67d13d891f2360b2a120186729c111238ac63b43dbd37a5a40670b8ca \ + --hash=sha256:fd7699e8fd9969f455ef2926221e0233f81a2542921471382e77a9e2f2b57f4b \ + --hash=sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69 + # via + # -c release/ray_release/byod/requirements_compiled.txt + # lm-eval + +# WARNING: The following packages were not pinned, but pip requires them to be +# pinned when the requirements file includes hashes. Consider using the --allow-unsafe flag. +# setuptools From e1c1039bf6d2bcfd0b32733a38a52670ec61d31a Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 1 Oct 2025 01:06:51 -0700 Subject: [PATCH 1481/1566] [depset] fix compile results on images (#57084) required for the fix on release test image launching. Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .../ray_ml_base_extra_testdeps_py3.10.lock | 285 ++++++++++++++++++ 1 file changed, 285 insertions(+) diff --git a/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock index 6ff2dba3c9f5..bd8c11aab2bb 100644 --- a/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock +++ b/release/ray_release/byod/ray_ml_base_extra_testdeps_py3.10.lock @@ -9,12 +9,14 @@ absl-py==1.4.0 \ --hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # rouge-score accelerate==0.28.0 \ --hash=sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5 \ --hash=sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # lm-eval # peft @@ -23,6 +25,7 @@ adagio==0.2.4 \ --hash=sha256:e58abc4539184a65faf9956957d3787616bedeb1303ac5c9b1a201d8af6b87d7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fugue # qpd adlfs==2023.8.0 \ @@ -30,18 +33,21 @@ adlfs==2023.8.0 \ --hash=sha256:3eb248a3c2a30b419f1147bd7676d156b5219f96ef7f11d47166afd2a3bdb07e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in aiofiles==22.1.0 \ --hash=sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad \ --hash=sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ypy-websocket aiohappyeyeballs==2.6.1 \ --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp aiohttp==3.11.16 \ --hash=sha256:004511d3413737700835e949433536a2fe95a7d0297edd911a1e9705c5b5ea43 \ @@ -127,6 +133,7 @@ aiohttp==3.11.16 \ --hash=sha256:fd36c119c5d6551bce374fcb5c19269638f8d09862445f85a5a48596fd59f4bb # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adlfs # anyscale # fsspec @@ -137,12 +144,14 @@ aiosignal==1.3.1 \ --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp aiosqlite==0.19.0 \ --hash=sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d \ --hash=sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ypy-websocket albucore==0.0.24 \ --hash=sha256:adef6e434e50e22c2ee127b7a3e71f2e35fa088bcf54431e18970b62d97d0005 \ @@ -157,12 +166,14 @@ annotated-types==0.6.0 \ --hash=sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pydantic antlr4-python3-runtime==4.11.1 \ --hash=sha256:a53de701312f9bdacc5258a6872cd6c62b90d3a90ae25e494026f76267333b60 \ --hash=sha256:ff1954eda1ca9072c02bf500387d0c86cb549bef4dbb3b64f39468b547ec5f6b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fugue-sql-antlr # qpd anyio==3.7.1 \ @@ -170,6 +181,7 @@ anyio==3.7.1 \ --hash=sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # starlette anyscale==0.26.58 \ @@ -181,18 +193,21 @@ appdirs==1.4.4 \ --hash=sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fs argcomplete==3.3.0 \ --hash=sha256:c168c3723482c031df3c207d4ba8fa702717ccb9fc0bfe4117166c1f537b4a54 \ --hash=sha256:fd03ff4a5b9e6580569d34b273f741e85cd9e072f3feeeee3eba4891c70eda62 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gsutil argon2-cffi==23.1.0 \ --hash=sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08 \ --hash=sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # nbclassic # notebook @@ -220,30 +235,35 @@ argon2-cffi-bindings==21.2.0 \ --hash=sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # argon2-cffi arrow==1.3.0 \ --hash=sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 \ --hash=sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # isoduration asttokens==2.4.1 \ --hash=sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24 \ --hash=sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # stack-data async-timeout==4.0.3 ; python_full_version < '3.11' \ --hash=sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f \ --hash=sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp attrs==25.1.0 \ --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \ --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # jsonlines # jsonschema @@ -253,12 +273,14 @@ azure-common==1.1.28 \ --hash=sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # smart-open azure-core==1.29.5 \ --hash=sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c \ --hash=sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adlfs # azure-identity # azure-storage-blob @@ -268,12 +290,14 @@ azure-datalake-store==0.0.53 \ --hash=sha256:a30c902a6e360aa47d7f69f086b426729784e71c536f330b691647a51dc42b2b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adlfs azure-identity==1.17.1 \ --hash=sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea \ --hash=sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-extra/requirements.in # adlfs azure-storage-blob==12.22.0 \ @@ -281,6 +305,7 @@ azure-storage-blob==12.22.0 \ --hash=sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adlfs # smart-open babel==2.13.1 \ @@ -288,18 +313,21 @@ babel==2.13.1 \ --hash=sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab-server backcall==0.2.0 \ --hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e \ --hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython beautifulsoup4==4.11.1 \ --hash=sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30 \ --hash=sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert bitsandbytes==0.47.0 \ --hash=sha256:2f805b76891a596025e9e13318b675d08481b9ee650d65e5d2f9d844084c6521 \ @@ -311,18 +339,21 @@ bleach==6.1.0 \ --hash=sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert boto==2.49.0 \ --hash=sha256:147758d41ae7240dc989f0039f27da8ca0d53734be0eb869ef16e3adcfa462e8 \ --hash=sha256:ea0d3b40a2d852767be77ca343b58a9e3a4b00d9db440efb8da74b4e58025e5a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin boto3==1.29.7 \ --hash=sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e \ --hash=sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # -r release/ray_release/byod/requirements_ml_byod_3.10.in # anyscale @@ -332,6 +363,7 @@ botocore==1.32.7 \ --hash=sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # boto3 # s3transfer @@ -467,12 +499,14 @@ cachetools==5.5.2 \ --hash=sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-auth certifi==2025.1.31 \ --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \ --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # geventhttpclient # requests @@ -532,6 +566,7 @@ cffi==1.16.0 \ --hash=sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # argon2-cffi-bindings # azure-datalake-store # cryptography @@ -632,12 +667,14 @@ charset-normalizer==3.3.2 \ --hash=sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # requests click==8.1.7 \ --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \ --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # flask # nltk @@ -649,6 +686,7 @@ cloudpickle==2.2.0 \ --hash=sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # statsforecast cmake==4.1.0 \ --hash=sha256:0e2fea746d746f52aa52b8498777ff665a0627d9b136bec4ae0465c38b75e799 \ @@ -675,6 +713,7 @@ colorama==0.4.6 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # log-symbols # sacrebleu @@ -684,6 +723,7 @@ comm==0.2.0 \ --hash=sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # ipywidgets configargparse==1.7.1 \ @@ -745,6 +785,7 @@ contourpy==1.1.1 \ --hash=sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # matplotlib crc32c==2.3 \ --hash=sha256:0369e637d13db5c06e45a34b069ff2ba292ac881e8a44a8658ccf3edaa9c392f \ @@ -816,11 +857,13 @@ crc32c==2.3 \ --hash=sha256:fddf16ed92dcb8ee34a12bd0757d5719d3c750a9dc813d82972477885b114339 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in crcmod==1.7 \ --hash=sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gsutil cryptography==44.0.3 \ --hash=sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259 \ @@ -862,6 +905,7 @@ cryptography==44.0.3 \ --hash=sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # azure-identity # azure-storage-blob @@ -873,6 +917,7 @@ cycler==0.12.1 \ --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # matplotlib cython==0.29.37 \ --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \ @@ -919,6 +964,7 @@ cython==0.29.37 \ --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in dataproperty==1.1.0 \ --hash=sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04 \ @@ -931,6 +977,7 @@ datasets==3.6.0 \ --hash=sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # evaluate # lm-eval @@ -955,12 +1002,14 @@ debugpy==1.8.0 \ --hash=sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel decorator==5.1.1 \ --hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \ --hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcsfs # ipython decord==0.6.0 \ @@ -971,17 +1020,20 @@ decord==0.6.0 \ --hash=sha256:a0eb1258beade34dceb29d97856a7764d179db1b5182899b61874f3418a1abc8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in deepspeed==0.12.3 \ --hash=sha256:dc8a0c261589856743c3b3e7bf9829eded2cc8b2464a40456c3a997ed3a01a08 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ --hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert diffusers==0.12.1 \ --hash=sha256:9d1c078ebec37a1410a52b5dfb0fd9b32675c54f4ef8d13bdad5cfa130381db6 \ @@ -992,6 +1044,7 @@ dill==0.3.7 \ --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # datasets # evaluate # multiprocess @@ -1005,12 +1058,14 @@ docker-pycreds==0.4.0 \ --hash=sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # wandb entrypoints==0.4 \ --hash=sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4 \ --hash=sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-client # nbconvert evaluate==0.4.3 \ @@ -1018,6 +1073,7 @@ evaluate==0.4.3 \ --hash=sha256:47d8770bdea76e2c2ed0d40189273027d1a41ccea861bcc7ba12d30ec5d1e517 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # lm-eval exceptiongroup==1.3.0 ; python_full_version < '3.11' \ @@ -1031,23 +1087,27 @@ executing==2.0.1 \ --hash=sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # stack-data fairscale==0.4.6 \ --hash=sha256:9e8548ddb26b331d89340ed76ae9a0a51e50cc419d2b339bcbff62ca1a7712fc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in fastapi==0.115.12 \ --hash=sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681 \ --hash=sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in fasteners==0.19 \ --hash=sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237 \ --hash=sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-apitools # gsutil fastjsonschema==2.19.0 \ @@ -1055,12 +1115,14 @@ fastjsonschema==2.19.0 \ --hash=sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbformat filelock==3.17.0 \ --hash=sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338 \ --hash=sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # datasets # diffusers @@ -1073,6 +1135,7 @@ flask==2.1.3 \ --hash=sha256:9013281a7402ad527f8fd56375164f3aa021ecfaff89bfe3825346c24f87e04c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # flask-basicauth # flask-cors # locust @@ -1084,12 +1147,14 @@ flask-cors==4.0.0 \ --hash=sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # locust flatbuffers==23.5.26 \ --hash=sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89 \ --hash=sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in fonttools==4.45.1 \ --hash=sha256:03ed3bda541e86725f6b4e1b94213f13ed1ae51a5a1f167028534cedea38c010 \ @@ -1136,12 +1201,14 @@ fonttools==4.45.1 \ --hash=sha256:ff6a698bdd435d24c379f6e8a54908cd9bb7dda23719084d56bf8c87709bf3bd # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # matplotlib fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema frozenlist==1.4.1 \ --hash=sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7 \ @@ -1223,6 +1290,7 @@ frozenlist==1.4.1 \ --hash=sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # aiosignal fs==2.4.16 \ @@ -1230,12 +1298,14 @@ fs==2.4.16 \ --hash=sha256:ae97c7d51213f4b70b6a958292530289090de3a7e15841e108fbe144f069d313 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # triad fsspec==2023.12.1 \ --hash=sha256:6271f1d3075a378bfe432f6f42bf7e1d2a6ba74f78dd9b512385474c579146a0 \ --hash=sha256:c4da01a35ac65c853f833e43f67802c25213f560820d54ddf248f92eddd5e990 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adlfs # datasets # evaluate @@ -1251,22 +1321,26 @@ fugue==0.8.7 \ --hash=sha256:d4dc16bac9850024109b999cd163a6ca4976bd0bf190a85730d91ff74737c3f2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # statsforecast fugue-sql-antlr==0.2.0 \ --hash=sha256:e15433aaf09502c5b0423019d9fa93e161172ceb08e7bd27af0175dadf3cf552 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fugue future==1.0.0 \ --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \ --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # petastorm gcs-oauth2-boto-plugin==3.0 \ --hash=sha256:f4120b08b7f8d32904674c98f07d4caf4083a58343c0c0fa0016e0f0254dfe31 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gsutil gcsfs==2023.12.1 \ --hash=sha256:c1ccfa9f84dca019cd334aaf7eb03cc1dc13c296717346927a9fd40255348f9c \ @@ -1441,12 +1515,14 @@ gitdb==4.0.11 \ --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gitpython gitpython==3.1.44 \ --hash=sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110 \ --hash=sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # wandb google-api-core==2.24.2 \ @@ -1454,6 +1530,7 @@ google-api-core==2.24.2 \ --hash=sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-python-client # google-cloud-certificate-manager # google-cloud-common @@ -1469,6 +1546,7 @@ google-api-python-client==2.111.0 \ --hash=sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # anyscale google-apitools==0.5.32 \ @@ -1476,12 +1554,14 @@ google-apitools==0.5.32 \ --hash=sha256:c3763e52289f61e21c41d5531e20fbda9cc8484a088b8686fd460770db8bad13 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gsutil google-auth==2.23.4 \ --hash=sha256:79905d6b1652187def79d491d6e23d0cbb3a21d3c7ba0dbaa9c8a01906b13ff3 \ --hash=sha256:d4bbc92fe4b8bfd2f3e8d88e5ba7085935da208ee38a134fc280e7ce682a05f2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # gcsfs # google-api-core @@ -1503,12 +1583,14 @@ google-auth-httplib2==0.1.1 \ --hash=sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-python-client google-auth-oauthlib==1.0.0 \ --hash=sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb \ --hash=sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcsfs google-cloud-certificate-manager==1.10.2 \ --hash=sha256:0da76de0ad60627840488f50aa2496c6314b112f613ef153d101e372b0b66cd0 \ @@ -1527,6 +1609,7 @@ google-cloud-core==2.4.1 \ --hash=sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-cloud-storage google-cloud-filestore==1.13.2 \ --hash=sha256:2561a003e4ede5942fe06cd2ac0dd66e354e00b57756e1184c5619f9abe50d9a \ @@ -1549,6 +1632,7 @@ google-cloud-storage==2.14.0 \ --hash=sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # gcsfs # smart-open @@ -1623,6 +1707,7 @@ google-crc32c==1.5.0 \ --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-cloud-storage # google-resumable-media google-oauth==1.0.1 \ @@ -1633,6 +1718,7 @@ google-reauth==0.1.1 \ --hash=sha256:f9f6852a55c2c5453d581cd01f3d1278e86147c03d008409800390a834235892 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin # gsutil google-resumable-media==2.6.0 \ @@ -1640,12 +1726,14 @@ google-resumable-media==2.6.0 \ --hash=sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-cloud-storage googleapis-common-protos==1.61.0 \ --hash=sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0 \ --hash=sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-core # grpc-google-iam-v1 # grpcio-status @@ -1709,6 +1797,7 @@ greenlet==3.0.1 ; python_full_version < '3.11' and platform_python_implementatio --hash=sha256:fa24255ae3c0ab67e613556375a4341af04a084bd58764731972bcbc8baeba36 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gevent grpc-google-iam-v1==0.14.2 \ --hash=sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351 \ @@ -1770,6 +1859,7 @@ grpcio==1.74.0 \ --hash=sha256:fe0f540750a13fd8e5da4b3eaba91a785eea8dca5ccd2bc2ffe978caa403090e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-extra/requirements.in # google-api-core # googleapis-common-protos @@ -1781,6 +1871,7 @@ grpcio-status==1.62.3 \ --hash=sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-core grpcio-tools==1.62.3 \ --hash=sha256:0a52cc9444df978438b8d2332c0ca99000521895229934a59f94f37ed896b133 \ @@ -1833,29 +1924,34 @@ grpcio-tools==1.62.3 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-extra/requirements.in gsutil==5.27 \ --hash=sha256:681a2d844acdf05fac989da6dd406944ae11cb27a4cf3c9edef74d2585ab5f05 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # uvicorn hjson==3.1.0 \ --hash=sha256:55af475a27cf83a7969c808399d7bccdec8fb836a07ddbd574587593b9cdcf75 \ --hash=sha256:65713cdcf13214fb554eb8b4ef803419733f4f5e551047c9b711098ab7186b89 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # deepspeed httplib2==0.20.4 \ --hash=sha256:58a98e45b4b1a48273073f905d2961666ecf0fbac4250ea5b47aef259eb5c585 \ --hash=sha256:8b6a905cb1c79eefd03f8669fd993c36dc341f7c558f056cb5a33b5c2f458543 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin # google-api-python-client # google-apitools @@ -1867,6 +1963,7 @@ huggingface-hub==0.27.0 \ --hash=sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # accelerate # datasets # diffusers @@ -1879,12 +1976,14 @@ humanize==4.12.1 \ --hash=sha256:86014ca5c52675dffa1d404491952f1f5bf03b07c175a51891a343daebf01fea # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyio # jsonschema # requests @@ -1894,18 +1993,21 @@ importlib-metadata==6.11.0 \ --hash=sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # diffusers iniconfig==2.0.0 \ --hash=sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3 \ --hash=sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pytest ipykernel==6.27.1 \ --hash=sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6 \ --hash=sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbclassic # notebook ipython==8.12.3 \ @@ -1913,6 +2015,7 @@ ipython==8.12.3 \ --hash=sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # ipywidgets # jupyterlab @@ -1921,6 +2024,7 @@ ipython-genutils==0.2.0 \ --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbclassic # notebook ipywidgets==8.1.3 \ @@ -1928,6 +2032,7 @@ ipywidgets==8.1.3 \ --hash=sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-extra/requirements.in # -r release/ray_release/byod/requirements_ml_byod_3.10.in isodate==0.6.1 \ @@ -1935,30 +2040,35 @@ isodate==0.6.1 \ --hash=sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # azure-storage-blob isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema itsdangerous==2.1.2 \ --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \ --hash=sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # flask jedi==0.19.1 \ --hash=sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd \ --hash=sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython jinja2==3.1.6 \ --hash=sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d \ --hash=sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # flask # fugue # fugue-sql-antlr @@ -1975,6 +2085,7 @@ jmespath==1.0.1 \ --hash=sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # boto3 # botocore joblib==1.2.0 \ @@ -1982,6 +2093,7 @@ joblib==1.2.0 \ --hash=sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nltk # scikit-learn json5==0.9.14 \ @@ -1989,6 +2101,7 @@ json5==0.9.14 \ --hash=sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab-server jsonlines==4.0.0 \ --hash=sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74 \ @@ -1999,12 +2112,14 @@ jsonpatch==1.32 \ --hash=sha256:b6ddfe6c3db30d81a96aaeceb6baf916094ffa23d7dd5fa2c13e13f8b6e600c2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale jsonpointer==2.4 \ --hash=sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a \ --hash=sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonpatch # jsonschema jsonschema==4.23.0 \ @@ -2012,6 +2127,7 @@ jsonschema==4.23.0 \ --hash=sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # jupyter-events # jupyterlab-server @@ -2021,12 +2137,14 @@ jsonschema-specifications==2024.10.1 \ --hash=sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema jupyter-client==7.3.4 \ --hash=sha256:17d74b0d0a7b24f1c8c527b24fcf4607c56bee542ffe8e3418e50b21e514b621 \ --hash=sha256:aa9a6c32054b290374f95f73bb0cae91455c58dfb84f65c8591912b8f65e6d56 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # jupyter-server # nbclassic @@ -2037,6 +2155,7 @@ jupyter-core==5.5.0 \ --hash=sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # jupyter-client # jupyter-server @@ -2050,12 +2169,14 @@ jupyter-events==0.6.3 \ --hash=sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server-fileid jupyter-server==1.24.0 \ --hash=sha256:23368e8e214baf82b313d4c5a0d828ca73015e1a192ce3829bd74e62fab8d046 \ --hash=sha256:c88ddbe862966ea1aea8c3ccb89a5903abd8fbcfe5cd14090ef549d403332c37 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server-fileid # jupyterlab # jupyterlab-server @@ -2066,6 +2187,7 @@ jupyter-server-fileid==0.9.0 \ --hash=sha256:5b489c6fe6783c41174a728c7b81099608518387e53c3d53451a67f46a0cb7b0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server-ydoc jupyter-server-terminals==0.4.4 \ --hash=sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d \ @@ -2076,12 +2198,14 @@ jupyter-server-ydoc==0.6.1 \ --hash=sha256:ab10864708c81fa41ab9f2ed3626b54ff6926eaf14545d1d439714978dad6e9f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab jupyter-ydoc==0.2.5 \ --hash=sha256:5759170f112c70320a84217dd98d287699076ae65a7f88d458d57940a9f2b882 \ --hash=sha256:5a02ca7449f0d875f73e8cb8efdf695dddef15a8e71378b1f4eda6b7c90f5382 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server-ydoc # jupyterlab jupyterlab==3.6.1 \ @@ -2089,30 +2213,35 @@ jupyterlab==3.6.1 \ --hash=sha256:aee98c174180e98a30470297d10b959e8e64f2288970c0de65f0a6d2b4807034 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-extra/requirements.in jupyterlab-pygments==0.3.0 \ --hash=sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d \ --hash=sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert jupyterlab-server==2.24.0 \ --hash=sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07 \ --hash=sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab jupyterlab-widgets==3.0.11 \ --hash=sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0 \ --hash=sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipywidgets jupytext==1.16.3 \ --hash=sha256:1ebac990461dd9f477ff7feec9e3003fa1acc89f3c16ba01b73f79fd76f01a98 \ --hash=sha256:870e0d7a716dcb1303df6ad1cec65e3315a20daedd808a55cb3dae2d56e4ed20 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in kiwisolver==1.4.5 \ --hash=sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf \ @@ -2221,12 +2350,14 @@ kiwisolver==1.4.5 \ --hash=sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # matplotlib lightning-utilities==0.11.2 \ --hash=sha256:541f471ed94e18a28d72879338c8c52e873bb46f4c47644d89228faeb6751159 \ --hash=sha256:adf4cf9c5d912fe505db4729e51d1369c6927f3a8ac55a9dff895ce5c0da08d9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pytorch-lightning llvmlite==0.42.0 \ --hash=sha256:05cb7e9b6ce69165ce4d1b994fbdedca0c62492e537b0cc86141b6e2c78d5888 \ @@ -2252,6 +2383,7 @@ llvmlite==0.42.0 \ --hash=sha256:f92b09243c0cc3f457da8b983f67bd8e1295d0f5b3746c7a1861d7a99403854a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # numba lm-eval==0.4.0 \ --hash=sha256:2dac56039b191c2dfb0011329ec9082e474006a15575db45468b88753923b34b @@ -2265,6 +2397,7 @@ log-symbols==0.0.14 \ --hash=sha256:cf0bbc6fe1a8e53f0d174a716bc625c4f87043cc21eb55dd8a740cfe22680556 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale lxml==4.9.4 \ --hash=sha256:00e91573183ad273e242db5585b52670eddf92bacad095ce25c1e682da14ed91 \ @@ -2362,6 +2495,7 @@ lxml==4.9.4 \ --hash=sha256:fdb325b7fba1e2c40b9b1db407f85642e32404131c08480dd652110fc908561b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert # sacrebleu markdown-it-py==2.2.0 \ @@ -2369,6 +2503,7 @@ markdown-it-py==2.2.0 \ --hash=sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupytext # mdit-py-plugins # rich @@ -2400,6 +2535,7 @@ markupsafe==2.1.3 \ --hash=sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jinja2 # nbconvert # werkzeug @@ -2453,12 +2589,14 @@ matplotlib==3.7.4 \ --hash=sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in matplotlib-inline==0.1.6 \ --hash=sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311 \ --hash=sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # ipython mbstrdecoder==1.1.4 \ @@ -2473,12 +2611,14 @@ mdit-py-plugins==0.3.5 \ --hash=sha256:eee0adc7195e5827e17e02d2a258a2ba159944a0748f59c5099a4a27f78fcf6a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupytext mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # markdown-it-py memray==1.10.0 \ --hash=sha256:0a21745fb516b7a6efcd40aa7487c59e9313fcfc782d0193fcfcf00b48426874 \ @@ -2518,41 +2658,48 @@ memray==1.10.0 \ --hash=sha256:f16c5c8730b616613dc8bafe32649ca6bd7252606251eb00148582011758d0b5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in mistune==0.8.4 \ --hash=sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e \ --hash=sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert modin==0.22.2 \ --hash=sha256:532fe0bfb2dcf06c0ad2d467721ef489fd58bb3ef7150bcf4a7ddd1069be1e4d \ --hash=sha256:fa897dc59d5b9a8496be044185689fdd337b9f26cc81c4144b217a2a94d029bc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in monotonic==1.6 \ --hash=sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7 \ --hash=sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gsutil more-itertools==10.7.0 \ --hash=sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3 \ --hash=sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # openai-whisper mpmath==1.3.0 \ --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # sympy msal==1.28.1 \ --hash=sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b \ --hash=sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # azure-datalake-store # azure-identity # msal-extensions @@ -2561,6 +2708,7 @@ msal-extensions==1.2.0b1 \ --hash=sha256:3658b3814cd6a7759e83cb0ec145f30330ee249a92444adaf9aa4eb4f5bbcbbc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # azure-identity msgpack==1.0.7 \ --hash=sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862 \ @@ -2621,6 +2769,7 @@ msgpack==1.0.7 \ --hash=sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # locust multidict==6.0.5 \ --hash=sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556 \ @@ -2715,6 +2864,7 @@ multidict==6.0.5 \ --hash=sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # yarl multiprocess==0.70.15 \ @@ -2736,6 +2886,7 @@ multiprocess==0.70.15 \ --hash=sha256:f7d4a1629bccb433114c3b4885f69eccc200994323c80f6feee73b0edc9199c5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # datasets # evaluate nbclassic==1.0.0 \ @@ -2743,6 +2894,7 @@ nbclassic==1.0.0 \ --hash=sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab # notebook nbclient==0.5.13 \ @@ -2750,12 +2902,14 @@ nbclient==0.5.13 \ --hash=sha256:47ac905af59379913c1f8f541098d2550153cf8dc58553cbe18c702b181518b0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert nbconvert==6.5.4 \ --hash=sha256:9e3c7c6d491374cbdd5f35d268c05809357716d346f4573186bbeab32ee50bc1 \ --hash=sha256:d679a947f849a966cbbd0bf6e7fedcfdb64be3b20ce7cef11ad55c13f5820e19 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # nbclassic # notebook @@ -2764,6 +2918,7 @@ nbformat==5.9.2 \ --hash=sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # jupytext # nbclassic @@ -2775,6 +2930,7 @@ nest-asyncio==1.5.8 \ --hash=sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # jupyter-client # nbclassic @@ -2784,6 +2940,7 @@ networkx==3.2.1 \ --hash=sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # torch ninja==1.11.1.1 \ --hash=sha256:18302d96a5467ea98b68e1cae1ae4b4fb2b2a56a82b955193c637557c7273dbd \ @@ -2803,6 +2960,7 @@ ninja==1.11.1.1 \ --hash=sha256:fa2ba9d74acfdfbfbcf06fad1b8282de8a7a8c481d9dee45c859a8c93fcc1082 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # deepspeed nltk==3.9.1 \ --hash=sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1 \ @@ -2813,12 +2971,14 @@ notebook==6.5.7 \ --hash=sha256:a6afa9a4ff4d149a0771ff8b8c881a7a73b3835f9add0606696d6e9d98ac1cd0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab notebook-shim==0.2.3 \ --hash=sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7 \ --hash=sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbclassic numba==0.59.1 \ --hash=sha256:0594b3dfb369fada1f8bb2e3045cd6c61a564c62e50cf1f86b4666bc721b3450 \ @@ -2844,6 +3004,7 @@ numba==0.59.1 \ --hash=sha256:f7ad1d217773e89a9845886401eaaab0a156a90aa2f179fdc125261fd1105096 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # openai-whisper # statsforecast numexpr==2.8.4 \ @@ -2879,6 +3040,7 @@ numexpr==2.8.4 \ --hash=sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # lm-eval numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ @@ -2919,6 +3081,7 @@ numpy==1.26.4 \ --hash=sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # -r release/ray_release/byod/requirements_ml_byod_3.10.in # accelerate @@ -2960,12 +3123,14 @@ nvidia-nccl-cu12==2.20.5 ; platform_machine != 'aarch64' and sys_platform == 'li --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # xgboost oauth2client==4.1.3 \ --hash=sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac \ --hash=sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # gcs-oauth2-boto-plugin # google-apitools @@ -2974,6 +3139,7 @@ oauthlib==3.2.2 \ --hash=sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # requests-oauthlib openai-whisper==20250625 \ --hash=sha256:37a91a3921809d9f44748ffc73c0a55c9f366c85a3ef5c2ae0cc09540432eb96 @@ -2988,6 +3154,7 @@ opencv-python-headless==4.9.0.80 \ --hash=sha256:e0ee54e27be493e8f7850847edae3128e18b540dac1d7b2e4001b8944e11e1c6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # albucore # albumentations openskill==6.1.3 \ @@ -3087,12 +3254,14 @@ orjson==3.9.15 \ --hash=sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in packaging==23.0 \ --hash=sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2 \ --hash=sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # accelerate # anyscale # datasets @@ -3149,6 +3318,7 @@ pandas==1.5.3 \ --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # datasets # evaluate # modin @@ -3163,18 +3333,21 @@ pandocfilters==1.5.0 \ --hash=sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert parso==0.8.3 \ --hash=sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0 \ --hash=sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jedi pathspec==0.11.2 \ --hash=sha256:1d6ed233af05e679efb96b1851550ea95bbb64b7c490b0f5aa52996c11e92a20 \ --hash=sha256:e0d8d0ac2f12da61956eb2306b69f9469b42f4deb0f3cb6ed47b9cce9996ced3 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale pathvalidate==3.3.1 \ --hash=sha256:5263baab691f8e1af96092fa5137ee17df5bdfbd6cff1fcac4d6ef4bc2e1735f \ @@ -3185,6 +3358,7 @@ patsy==0.5.3 \ --hash=sha256:bdc18001875e319bc91c812c1eb6a10be4bb13cb81eb763f466179dca3b67277 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # statsmodels peft==0.17.1 \ --hash=sha256:3d129d64def3d74779c32a080d2567e5f7b674e77d546e3585138216d903f99e \ @@ -3198,12 +3372,14 @@ pexpect==4.8.0 ; sys_platform != 'win32' \ --hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython pickleshare==0.7.5 \ --hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca \ --hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython pillow==10.3.0 \ --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \ @@ -3277,6 +3453,7 @@ pillow==10.3.0 \ --hash=sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # diffusers # matplotlib platformdirs==3.11.0 \ @@ -3284,6 +3461,7 @@ platformdirs==3.11.0 \ --hash=sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-core # wandb pluggy==1.3.0 \ @@ -3291,12 +3469,14 @@ pluggy==1.3.0 \ --hash=sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pytest portalocker==2.8.2 \ --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \ --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # msal-extensions # sacrebleu prometheus-client==0.19.0 \ @@ -3304,6 +3484,7 @@ prometheus-client==0.19.0 \ --hash=sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # nbclassic # notebook @@ -3312,6 +3493,7 @@ prompt-toolkit==3.0.41 \ --hash=sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython propcache==0.3.0 \ --hash=sha256:02df07041e0820cacc8f739510078f2aadcfd3fc57eaeeb16d5ded85c872c89e \ @@ -3414,6 +3596,7 @@ propcache==0.3.0 \ --hash=sha256:fddb8870bdb83456a489ab67c6b3040a8d5a55069aa6f72f9d872235fbc52f54 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp # yarl proto-plus==1.22.3 \ @@ -3421,6 +3604,7 @@ proto-plus==1.22.3 \ --hash=sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-core # google-cloud-certificate-manager # google-cloud-common @@ -3443,6 +3627,7 @@ protobuf==4.25.8 \ --hash=sha256:f4510b93a3bec6eba8fd8f1093e9d7fb0d4a24d1a81377c10c0e5bbfe9e4ed24 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # google-api-core # google-cloud-certificate-manager @@ -3478,6 +3663,7 @@ psutil==5.9.6 \ --hash=sha256:ff18b8d1a784b810df0b0fff3bcb50ab941c3b8e2c8de5726f9c71c601c611aa # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # accelerate # deepspeed @@ -3492,6 +3678,7 @@ ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32' \ --hash=sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pexpect # terminado pure-eval==0.2.2 \ @@ -3499,18 +3686,21 @@ pure-eval==0.2.2 \ --hash=sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # stack-data py-cpuinfo==9.0.0 \ --hash=sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690 \ --hash=sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # deepspeed py4j==0.10.9.7 \ --hash=sha256:0b6e5315bb3ada5cf62ac651d107bb2ebc02def3dee9d9548e3baac644ea8dbb \ --hash=sha256:85defdfd2b2376eb3abf5ca6474b51ab7e0de341c75a02f46dc9b5976f5a5c1b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pyspark pyarrow==19.0.1 \ --hash=sha256:008a4009efdb4ea3d2e18f05cd31f9d43c388aad29c636112c2966605ba33466 \ @@ -3557,6 +3747,7 @@ pyarrow==19.0.1 \ --hash=sha256:fd44d66093a239358d07c42a91eebf5015aa54fccba959db899f932218ac9cc8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # datasets # petastorm @@ -3566,6 +3757,7 @@ pyasn1==0.5.1 \ --hash=sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # oauth2client # pyasn1-modules # rsa @@ -3574,6 +3766,7 @@ pyasn1-modules==0.3.0 \ --hash=sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-auth # oauth2client pybind11==3.0.1 \ @@ -3585,12 +3778,14 @@ pycparser==2.21 \ --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # cffi pydantic==2.11.7 \ --hash=sha256:d989c3c6cb79469287b1569f7447a17848c998458d49ebe294e975b9baf0f0db \ --hash=sha256:dde5df002701f6de26248661f6835bbe296a47bf73990135c7d07ce741b9623b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # albumentations # deepspeed @@ -3697,12 +3892,14 @@ pydantic-core==2.33.2 \ --hash=sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pydantic pygments==2.18.0 \ --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \ --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython # nbconvert # rich @@ -3711,18 +3908,21 @@ pyjwt==2.8.0 \ --hash=sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # msal pynvml==11.5.0 \ --hash=sha256:5cce014ac01b098d08f06178f86c37be409b80b2e903a5a03ce15eed60f55e25 \ --hash=sha256:d027b21b95b1088b9fc278117f9f61b7c67f8e33a787e9f83f735f0f71ac32d0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # deepspeed pyopenssl==25.0.0 \ --hash=sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90 \ --hash=sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # gcs-oauth2-boto-plugin # google-oauth @@ -3732,12 +3932,14 @@ pyparsing==3.1.1 \ --hash=sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # httplib2 # matplotlib pyspark==3.4.1 \ --hash=sha256:72cd66ab8cf61a75854e5a753f75bea35ee075c3a96f9de4e2a66d02ec7fc652 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # petastorm pytablewriter==1.2.1 \ --hash=sha256:7bd0f4f397e070e3b8a34edcf1b9257ccbb18305493d8350a5dbc9957fced959 \ @@ -3748,12 +3950,14 @@ pytest==7.4.4 \ --hash=sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in python-dateutil==2.8.2 \ --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \ --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # arrow # botocore @@ -3766,24 +3970,28 @@ python-json-logger==2.0.7 \ --hash=sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-events pytorch-lightning==1.8.6 \ --hash=sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d \ --hash=sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in pytz==2022.7.1 \ --hash=sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0 \ --hash=sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pandas # typepy pyu2f==0.1.5 \ --hash=sha256:a3caa3a11842fc7d5746376f37195e6af5f17c0a15737538bb1cebf656fb306b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-reauth pyyaml==6.0.1 \ --hash=sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5 \ @@ -3839,6 +4047,7 @@ pyyaml==6.0.1 \ --hash=sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # accelerate # albumentations # anyscale @@ -3941,6 +4150,7 @@ pyzmq==26.0.3 \ --hash=sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipykernel # jupyter-client # jupyter-server @@ -3953,12 +4163,14 @@ qpd==0.4.4 \ --hash=sha256:fc02b53d990f505353ec495682fbc107dfc06c59e66d2206b5d2db2b5700b629 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fugue referencing==0.36.2 \ --hash=sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa \ --hash=sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema # jsonschema-specifications regex==2024.5.15 \ @@ -4043,6 +4255,7 @@ regex==2024.5.15 \ --hash=sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # diffusers # nltk # sacrebleu @@ -4053,6 +4266,7 @@ requests==2.32.3 \ --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # azure-core # azure-datalake-store @@ -4080,11 +4294,13 @@ requests-oauthlib==2.0.0 \ --hash=sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-auth-oauthlib retry-decorator==1.1.1 \ --hash=sha256:e1e8ad02e518fe11073f2ea7d80b6b8be19daa27a60a1838aff7c731ddcf2ebe # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin # gsutil rfc3339-validator==0.1.4 \ @@ -4092,6 +4308,7 @@ rfc3339-validator==0.1.4 \ --hash=sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema # jupyter-events rfc3986-validator==0.1.1 \ @@ -4099,6 +4316,7 @@ rfc3986-validator==0.1.1 \ --hash=sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema # jupyter-events rich==13.3.2 \ @@ -4106,6 +4324,7 @@ rich==13.3.2 \ --hash=sha256:a104f37270bf677148d8acb07d33be1569eeee87e2d1beb286a4e9113caf6f2f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # memray # typer @@ -4221,6 +4440,7 @@ rpds-py==0.22.3 \ --hash=sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema # referencing rsa==4.7.2 \ @@ -4228,6 +4448,7 @@ rsa==4.7.2 \ --hash=sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gcs-oauth2-boto-plugin # google-auth # oauth2client @@ -4236,6 +4457,7 @@ s3transfer==0.8.0 \ --hash=sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # boto3 sacrebleu==2.5.1 \ --hash=sha256:1a088cc1c74ffaff0759c3191a85db09eecfa7a52e09be244e319d8d64e2fb11 \ @@ -4344,6 +4566,7 @@ safetensors==0.4.3 \ --hash=sha256:fef5d70683643618244a4f5221053567ca3e77c2531e42ad48ae05fae909f542 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # accelerate # peft # transformers @@ -4376,6 +4599,7 @@ scikit-learn==1.3.2 \ --hash=sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # lm-eval scipy==1.11.4 \ @@ -4406,6 +4630,7 @@ scipy==1.11.4 \ --hash=sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # albumentations # scikit-learn # statsforecast @@ -4420,6 +4645,7 @@ send2trash==1.8.3 \ --hash=sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server # nbclassic # notebook @@ -4470,12 +4696,14 @@ sentencepiece==0.1.96 \ --hash=sha256:ff7d752a7f82d87711ec1a95c2262cb74f98be5b457f0300d81a1aefe5be2a95 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in sentry-sdk==2.10.0 \ --hash=sha256:545fcc6e36c335faa6d6cda84669b6e17025f31efbf3b2211ec14efe008b75d1 \ --hash=sha256:87b3d413c87d8e7f816cc9334bff255a83d8b577db2b22042651c30c19c09190 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # wandb setproctitle==1.3.6 \ --hash=sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3 \ @@ -4577,12 +4805,14 @@ setproctitle==1.3.6 \ --hash=sha256:f33fbf96b52d51c23b6cff61f57816539c1c147db270cfc1cc3bc012f4a560a9 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # wandb shellingham==1.5.4 \ --hash=sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686 \ --hash=sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # typer simsimd==6.5.3 \ --hash=sha256:051c6493f07c4ec5938648accd351b16221a5d07633649b6f392e387811900a1 \ @@ -4689,6 +4919,7 @@ six==1.16.0 \ --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # anyscale # asttokens @@ -4715,6 +4946,7 @@ smart-open==6.2.0 \ --hash=sha256:1b4df5c8365218f3852c507451920ccad606c80b0acb4e67508e50ba9b5d2632 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r docker/base-deps/requirements.in # anyscale smmap==5.0.1 \ @@ -4722,30 +4954,35 @@ smmap==5.0.1 \ --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyio soupsieve==2.5 \ --hash=sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690 \ --hash=sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # beautifulsoup4 spinners==0.0.24 \ --hash=sha256:1eb6aeb4781d72ab42ed8a01dcf20f3002bf50740d7154d12fb8c9769bf9e27f \ --hash=sha256:2fa30d0b72c9650ad12bbe031c9943b8d441e41b4f5602b0ec977a19f3290e98 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale sqlglot==25.6.1 \ --hash=sha256:c1fcbaa00429979f16fb8cea20279a8b3f5312e76d97abb8f8c6a9b21be450d7 \ --hash=sha256:ea40f3bf8452e2c1a696fe120163190bd67e49b346336e7db6d34400b57b7601 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fugue sqlitedict==2.1.0 \ --hash=sha256:03d9cfb96d602996f1d4c2db2856f1224b96a9c431bdd16e78032a72940f9e8c @@ -4755,18 +4992,21 @@ stack-data==0.6.3 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipython starlette==0.46.2 \ --hash=sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35 \ --hash=sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # fastapi statsforecast==1.7.0 \ --hash=sha256:0a4aae77988c23db25703eafacecb88a6fc981496be886e24c6144fab2310a0e \ --hash=sha256:ac63de8095242eb0f362045a232174666f0fa24a43ee8c3d3cc0bb61f15b7316 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in statsmodels==0.14.0 \ --hash=sha256:0eea4a0b761aebf0c355b726ac5616b9a8b618bd6e81a96b9f998a61f4fd7484 \ @@ -4800,6 +5040,7 @@ statsmodels==0.14.0 \ --hash=sha256:fc2c7931008a911e3060c77ea8933f63f7367c0f3af04f82db3a04808ad2cd2c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # statsforecast stringzilla==4.0.11 \ --hash=sha256:04061e74c51d8ae91a3b57b7c8aa08980b67eb43c18c71d5771c287df8a163df \ @@ -4888,6 +5129,7 @@ sympy==1.13.1 \ --hash=sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # torch tabledata==1.3.4 \ --hash=sha256:1f56e433bfdeb89f4487abfa48c4603a3b07c5d3a3c7e05ff73dd018c24bd0d4 \ @@ -4898,6 +5140,7 @@ tabulate==0.9.0 \ --hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # sacrebleu tblib==3.0.0 \ @@ -4905,6 +5148,7 @@ tblib==3.0.0 \ --hash=sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in tcolorpy==0.1.7 \ --hash=sha256:0fbf6bf238890bbc2e32662aa25736769a29bf6d880328f310c910a327632614 \ @@ -4915,6 +5159,7 @@ tensorboardx==2.6.2.2 \ --hash=sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # pytorch-lightning termcolor==2.4.0 \ @@ -4922,12 +5167,14 @@ termcolor==2.4.0 \ --hash=sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale terminado==0.18.1 \ --hash=sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 \ --hash=sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # jupyter-server # jupyter-server-terminals @@ -4938,6 +5185,7 @@ threadpoolctl==3.1.0 \ --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # scikit-learn tiktoken==0.11.0 \ --hash=sha256:10331d08b5ecf7a780b4fe4d0281328b23ab22cdb4ff65e68d56caeda9940ecc \ @@ -4979,6 +5227,7 @@ tinycss2==1.3.0 \ --hash=sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # nbconvert tokenizers==0.15.2 \ --hash=sha256:0143e7d9dcd811855c1ce1ab9bf5d96d29bf5e528fd6c7824d0465741e8c10fd \ @@ -5093,12 +5342,14 @@ tokenizers==0.15.2 \ --hash=sha256:fb16ba563d59003028b678d2361a27f7e4ae0ab29c7a80690efa20d829c81fdb # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # transformers tomli==2.0.1 ; python_full_version < '3.11' \ --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc \ --hash=sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyterlab # jupytext # pytest @@ -5115,6 +5366,7 @@ torch==2.3.0+cpu \ --hash=sha256:e3c220702d82c7596924150e0499fbbffcf62a88a59adc860fa357cd8dc1c302 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # accelerate # bitsandbytes @@ -5144,6 +5396,7 @@ torchmetrics==0.10.3 \ --hash=sha256:b12cf92897545e24a825b0d168888c0f3052700c2901e2d4f7d90b252bc4a343 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # pytorch-lightning torchtext==0.18.0+cpu \ @@ -5159,6 +5412,7 @@ torchtext==0.18.0+cpu \ --hash=sha256:f4dc0083c5b1b73109dd7f4fbade067f6ba1cd76a349dec35b4ba7e0599d3f66 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in tornado==6.1 \ --hash=sha256:0a00ff4561e2929a2c37ce706cb8233b7907e0cdc22eab98888aca5dd3775feb \ @@ -5204,6 +5458,7 @@ tornado==6.1 \ --hash=sha256:fba85b6cd9c39be262fcd23865652920832b61583de2a2ca907dbd8e8a8c81e5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale # ipykernel # jupyter-client @@ -5217,6 +5472,7 @@ tqdm==4.67.1 \ --hash=sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # anyscale # datasets @@ -5240,6 +5496,7 @@ traitlets==5.14.3 \ --hash=sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # comm # ipykernel # ipython @@ -5259,6 +5516,7 @@ transformers==4.36.2 \ --hash=sha256:d8068e897e47793281501e547d2bbdfc5b8556409c2cb6c3d9e2ca77d4c0b4ec # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # lm-eval # peft @@ -5267,6 +5525,7 @@ triad==0.9.8 \ --hash=sha256:5b67673124891981daf8afbab44b2e6358932ca35ef3ff38a25bc3e0f6f03f17 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # adagio # fugue # fugue-sql-antlr @@ -5297,17 +5556,20 @@ typer==0.12.3 \ --hash=sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in types-python-dateutil==2.9.0.20240316 \ --hash=sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202 \ --hash=sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # arrow typing-extensions==4.12.2 \ --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # anyscale # azure-core @@ -5330,30 +5592,35 @@ typing-inspection==0.4.1 \ --hash=sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # pydantic tzlocal==5.3 \ --hash=sha256:2fafbfc07e9d8b49ade18f898d6bcd37ae88ce3ad6486842a2e4f03af68323d2 \ --hash=sha256:3814135a1bb29763c6e4f08fd6e41dbb435c7a60bfbb03270211bcc537187d8c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale uri-template==1.3.0 \ --hash=sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7 \ --hash=sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema uritemplate==4.1.1 \ --hash=sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0 \ --hash=sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # google-api-python-client urllib3==1.26.19 \ --hash=sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3 \ --hash=sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in # anyscale # botocore @@ -5365,12 +5632,14 @@ utilsforecast==0.2.0 \ --hash=sha256:a4825bf8da547e3dc552f9b9a7a8159341a118c3a5d122191f09bc3683cba433 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # statsforecast uvicorn==0.22.0 \ --hash=sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8 \ --hash=sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in validators==0.35.0 \ --hash=sha256:992d6c48a4e77c81f1b4daba10d16c3a9bb0dbb79b3a19ea847ff0928e70497a \ @@ -5386,24 +5655,28 @@ wandb==0.17.0 \ --hash=sha256:feeb60d4ff506d2a6bc67f953b310d70b004faa789479c03ccd1559c6f1a9633 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in wcwidth==0.2.13 \ --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \ --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # prompt-toolkit webcolors==24.6.0 \ --hash=sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b \ --hash=sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jsonschema webencodings==0.5.1 \ --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \ --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # bleach # tinycss2 websocket-client==1.8.0 \ @@ -5411,6 +5684,7 @@ websocket-client==1.8.0 \ --hash=sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server websockets==11.0.3 \ --hash=sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd \ @@ -5485,12 +5759,14 @@ websockets==11.0.3 \ --hash=sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale werkzeug==2.3.8 \ --hash=sha256:554b257c74bbeb7a0d254160a4f8ffe185243f52a52035060b761ca62d977f03 \ --hash=sha256:bba1f19f8ec89d4d607a3bd62f1904bd2e609472d93cd85e9d4e178f472c3748 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # flask # locust widgetsnbextension==4.0.11 \ @@ -5498,6 +5774,7 @@ widgetsnbextension==4.0.11 \ --hash=sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # ipywidgets wrapt==1.14.1 \ --hash=sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3 \ @@ -5576,6 +5853,7 @@ wrapt==1.14.1 \ --hash=sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # anyscale xgboost==2.1.0 \ --hash=sha256:19d145eb847b070c32342b1bf2d7331c102783e07a484f8b13b7d759d707c6b0 \ @@ -5588,6 +5866,7 @@ xgboost==2.1.0 \ --hash=sha256:cedc2e386e686795735448fd4597533acacc5ba6fb47dd910c204c468b80bb96 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # -r release/ray_release/byod/requirements_ml_byod_3.10.in xxhash==3.4.1 \ --hash=sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b \ @@ -5700,6 +5979,7 @@ xxhash==3.4.1 \ --hash=sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # datasets # evaluate y-py==0.6.2 \ @@ -5779,6 +6059,7 @@ y-py==0.6.2 \ --hash=sha256:ff32548e45e45bf3280ac1d28b3148337a5c6714c28db23aeb0693e33eba257e # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-ydoc # ypy-websocket yarl==1.18.3 \ @@ -5866,17 +6147,20 @@ yarl==1.18.3 \ --hash=sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # aiohttp ypy-websocket==0.8.4 \ --hash=sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff \ --hash=sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # jupyter-server-ydoc zipp==3.19.2 \ --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # importlib-metadata zope-event==6.0 \ --hash=sha256:0ebac894fa7c5f8b7a89141c272133d8c1de6ddc75ea4b1f327f00d1f890df92 \ @@ -6015,6 +6299,7 @@ zstandard==0.23.0 \ --hash=sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69 # via # -c python/requirements_compiled.txt + # -c release/ray_release/byod/requirements_compiled.txt # lm-eval # The following packages were excluded from the output: From 1ec8b5958a1d11735303393b0aee1100a0d7df09 Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 1 Oct 2025 01:39:05 -0700 Subject: [PATCH 1482/1566] [images] stop publishing ray-ml images (#57070) 2.49.x are last ray-ml images Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/build.rayci.yml | 40 -------------------------------------- 1 file changed, 40 deletions(-) diff --git a/.buildkite/build.rayci.yml b/.buildkite/build.rayci.yml index ddbe71ad8be2..5d37387c7a39 100644 --- a/.buildkite/build.rayci.yml +++ b/.buildkite/build.rayci.yml @@ -159,46 +159,6 @@ steps: matrix: - "3.11" - - label: ":tapioca: build: ray-ml py{{matrix}} docker (x86_64)" - tags: - - python_dependencies - - docker - - oss - instance_type: medium - commands: - - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} - --platform cu12.1.1-cudnn8 --platform cpu --image-type ray-ml - --upload - depends_on: - - manylinux - - forge - - ray-mlcpubase - - ray-mlcudabase - matrix: - - "3.9" - - "3.10" - - "3.11" - - - label: ":tapioca: build: ray-ml-extra py{{matrix}} docker (x86_64)" - tags: - - python_dependencies - - docker - - oss - instance_type: medium - commands: - - bazel run //ci/ray_ci:build_in_docker -- docker --python-version {{matrix}} - --platform cu12.1.1-cudnn8 --platform cpu --image-type ray-ml-extra - --upload - depends_on: - - manylinux - - forge - - ray-mlcpubaseextra - - ray-mlcudabaseextra - matrix: - - "3.9" - - "3.10" - - "3.11" - - label: ":tapioca: smoke test build-docker.sh" tags: - python_dependencies From 7ede107c578f3d8a6752affccf561a48fe1bc9be Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 1 Oct 2025 01:40:43 -0700 Subject: [PATCH 1483/1566] [release] updating passing core long running tests to run on py310 (#57058) Updating core long running tests to run on py3.10 Successful release tests on 3.10 https://buildkite.com/ray-project/release/builds/60324#_ Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- release/release_tests.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/release/release_tests.yaml b/release/release_tests.yaml index aa1570144be5..e818c81ba9ef 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -777,6 +777,7 @@ variations: - __suffix__: aws + python: "3.10" - __suffix__: gce env: gce frequency: manual @@ -902,6 +903,7 @@ variations: - __suffix__: aws + python: "3.10" - __suffix__: gce env: gce frequency: manual @@ -913,6 +915,7 @@ cluster_compute: tpl_cpu_1_gce.yaml - name: long_running_many_drivers + python: "3.10" group: Long running tests working_dir: long_running_tests @@ -1032,6 +1035,7 @@ variations: - __suffix__: aws + python: "3.10" - __suffix__: gce env: gce frequency: manual @@ -1114,6 +1118,7 @@ variations: - __suffix__: aws + python: "3.10" - __suffix__: gce env: gce frequency: manual From bf5cfc66c0f9edc6a55d2272467122164ab4056b Mon Sep 17 00:00:00 2001 From: Elliot Barnwell Date: Wed, 1 Oct 2025 02:07:02 -0700 Subject: [PATCH 1484/1566] [release] allowing py310 for gpu byod release tests (#57079) allowing for gpu tagged byod images to run on python 3.10 Signed-off-by: elliot-barn Signed-off-by: Douglas Strodtman --- release/ray_release/config.py | 4 +- release/ray_release/tests/test_config.py | 51 ++++++++++++++++++++++++ 2 files changed, 53 insertions(+), 2 deletions(-) diff --git a/release/ray_release/config.py b/release/ray_release/config.py index daf9dee62c37..bf362febddc6 100644 --- a/release/ray_release/config.py +++ b/release/ray_release/config.py @@ -260,8 +260,8 @@ def validate_test(test: Test, schema: Optional[Dict] = None) -> Optional[str]: def validate_byod_type(byod_type: str, python_version: str) -> None: if byod_type not in ALLOWED_BYOD_TYPES: raise Exception(f"Invalid BYOD type: {byod_type}") - if byod_type == "gpu" and python_version != "3.9": - raise Exception("GPU BYOD tests must use Python 3.9") + if byod_type == "gpu" and python_version not in ["3.9", "3.10"]: + raise Exception("GPU BYOD tests must use Python 3.9 or 3.10") if byod_type == "llm-cu124" and python_version != "3.11": raise Exception("LLM BYOD tests must use Python 3.11") if byod_type in ["cpu", "cu123"] and python_version not in [ diff --git a/release/ray_release/tests/test_config.py b/release/ray_release/tests/test_config.py index c815dfc1bba6..6c0e70212152 100644 --- a/release/ray_release/tests/test_config.py +++ b/release/ray_release/tests/test_config.py @@ -92,6 +92,57 @@ def test_parse_test_definition(): parse_test_definition([invalid_test_definition]) +def test_parse_test_definition_with_python_version(): + """ + Unit test for the ray_release.config.parse_test_definition function. In particular, + we check that the code correctly parse a test definition that have the 'variations' & 'python' + field. + """ + test_definitions = yaml.safe_load( + """ + - name: sample_test + working_dir: sample_dir + frequency: nightly + team: sample + python: "3.10" + cluster: + byod: + type: gpu + cluster_compute: compute.yaml + run: + timeout: 100 + script: python script.py + variations: + - __suffix__: aws + - __suffix__: gce + cluster: + cluster_compute: compute_gce.yaml + """ + ) + # Check that parsing returns two tests, one for each variation (aws and gce). Check + # that both tests are valid, and their fields are populated correctly + tests = parse_test_definition(test_definitions) + aws_test = tests[0] + gce_test = tests[1] + schema = load_schema_file() + assert not validate_test(aws_test, schema) + assert not validate_test(gce_test, schema) + assert aws_test["name"] == "sample_test.aws" + assert gce_test["cluster"]["cluster_compute"] == "compute_gce.yaml" + assert gce_test["cluster"]["byod"]["type"] == "gpu" + invalid_test_definition = test_definitions[0] + # Intentionally make the test definition invalid by create an empty 'variations' + # field. Check that the parser throws exception at runtime + invalid_test_definition["variations"] = [] + with pytest.raises(ReleaseTestConfigError): + parse_test_definition([invalid_test_definition]) + # Intentionally make the test definition invalid by making one 'variation' entry + # missing the __suffix__ entry. Check that the parser throws exception at runtime + invalid_test_definition["variations"] = [{"__suffix__": "aws"}, {}] + with pytest.raises(ReleaseTestConfigError): + parse_test_definition([invalid_test_definition]) + + def test_parse_test_definition_with_defaults(): test_definitions = yaml.safe_load( """ From e5e30ad69dcde44a7dc1cf35c0b6fc26a9d26b3e Mon Sep 17 00:00:00 2001 From: czgdp1807 Date: Wed, 1 Oct 2025 14:38:16 +0530 Subject: [PATCH 1485/1566] [RLlib] LINT: Enable ruff imports for ``benchmarks/``, ``connectors/``, ``evaluation/``, ``models/`` in ``rllib`` (#56736) ## Why are these changes needed? Second split of https://github.com/ray-project/ray/pull/56416 ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: Gagandeep Singh Co-authored-by: Kamil Kaczmarek Signed-off-by: Douglas Strodtman --- pyproject.toml | 17 ++++++++- rllib/benchmarks/ppo/benchmark_atari_ppo.py | 1 - .../torch_compile/run_inference_bm.py | 12 +++--- rllib/benchmarks/torch_compile/utils.py | 5 +-- rllib/connectors/action/clip.py | 2 +- rllib/connectors/action/immutable.py | 2 +- rllib/connectors/action/lambdas.py | 2 +- rllib/connectors/action/normalize.py | 2 +- rllib/connectors/action/pipeline.py | 3 +- rllib/connectors/agent/clip_reward.py | 2 +- rllib/connectors/agent/env_sampling.py | 2 +- rllib/connectors/agent/lambdas.py | 2 +- rllib/connectors/agent/mean_std_filter.py | 13 ++++--- rllib/connectors/agent/obs_preproc.py | 4 +- rllib/connectors/agent/pipeline.py | 5 +-- rllib/connectors/agent/state_buffer.py | 8 ++-- rllib/connectors/agent/view_requirement.py | 4 +- rllib/connectors/common/__init__.py | 1 - ...add_observations_from_episodes_to_batch.py | 2 +- rllib/connectors/common/frame_stacking.py | 2 +- rllib/connectors/connector.py | 2 +- rllib/connectors/connector_pipeline_v2.py | 2 +- rllib/connectors/connector_v2.py | 4 +- rllib/connectors/env_to_module/__init__.py | 1 - .../env_to_module/flatten_observations.py | 2 +- .../env_to_module/frame_stacking.py | 1 - .../env_to_module/mean_std_filter.py | 2 +- .../prev_actions_prev_rewards.py | 2 +- ...servations_from_episodes_to_train_batch.py | 2 +- .../learner/compute_returns_to_go.py | 2 +- rllib/connectors/learner/frame_stacking.py | 1 - .../learner/general_advantage_estimation.py | 4 +- .../learner/learner_connector_pipeline.py | 1 + rllib/connectors/module_to_env/__init__.py | 3 +- rllib/connectors/registry.py | 3 +- rllib/connectors/util.py | 12 +++--- rllib/evaluation/__init__.py | 8 ++-- .../evaluation/collectors/agent_collector.py | 2 +- .../collectors/simple_list_collector.py | 11 +++--- rllib/evaluation/env_runner_v2.py | 7 ++-- rllib/evaluation/episode_v2.py | 5 ++- rllib/evaluation/metrics.py | 3 +- rllib/evaluation/observation_function.py | 2 +- rllib/evaluation/postprocessing.py | 6 +-- rllib/evaluation/rollout_worker.py | 9 +++-- rllib/evaluation/sample_batch_builder.py | 9 +++-- rllib/evaluation/sampler.py | 2 +- .../evaluation/tests/test_agent_collector.py | 12 +++--- rllib/evaluation/tests/test_env_runner_v2.py | 21 +++++------ rllib/evaluation/tests/test_postprocessing.py | 6 ++- rllib/evaluation/tests/test_rollout_worker.py | 16 ++++---- rllib/models/__init__.py | 2 +- rllib/models/action_dist.py | 4 +- rllib/models/catalog.py | 37 ++++++++++--------- rllib/models/modelv2.py | 13 ++++--- rllib/models/preprocessors.py | 11 +++--- rllib/models/repeated_values.py | 2 +- .../models/tests/test_action_distributions.py | 12 +++--- rllib/models/tests/test_distributions.py | 14 ++++--- rllib/models/tf/__init__.py | 2 +- rllib/models/tf/attention_net.py | 11 +++--- rllib/models/tf/complex_input_net.py | 2 +- rllib/models/tf/fcnet.py | 7 ++-- rllib/models/tf/layers/__init__.py | 2 +- rllib/models/tf/layers/gru_gate.py | 4 +- .../models/tf/layers/multi_head_attention.py | 2 +- rllib/models/tf/layers/noisy_layer.py | 6 +-- .../layers/relative_multi_head_attention.py | 2 +- rllib/models/tf/layers/skip_connection.py | 4 +- rllib/models/tf/misc.py | 3 +- rllib/models/tf/recurrent_net.py | 11 +++--- rllib/models/tf/tf_action_dist.py | 9 +++-- rllib/models/tf/tf_modelv2.py | 7 ++-- rllib/models/tf/visionnet.py | 5 ++- rllib/models/torch/attention_net.py | 9 +++-- rllib/models/torch/complex_input_net.py | 8 ++-- rllib/models/torch/fcnet.py | 7 ++-- rllib/models/torch/mingpt.py | 2 +- rllib/models/torch/misc.py | 3 +- .../torch/modules/multi_head_attention.py | 3 +- rllib/models/torch/modules/noisy_layer.py | 2 +- rllib/models/torch/modules/skip_connection.py | 3 +- rllib/models/torch/recurrent_net.py | 9 +++-- rllib/models/torch/torch_action_dist.py | 9 +++-- rllib/models/torch/torch_distributions.py | 6 +-- rllib/models/torch/torch_modelv2.py | 3 +- rllib/models/torch/visionnet.py | 9 +++-- 87 files changed, 268 insertions(+), 231 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c8c2219e451f..d6e686d350b0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,7 +65,22 @@ afterray = ["psutil", "setproctitle"] "python/ray/__init__.py" = ["I"] "python/ray/dag/__init__.py" = ["I"] "python/ray/air/__init__.py" = ["I"] -"rllib/*" = ["I"] +# "rllib/__init__.py" = ["I"] +# "rllib/benchmarks/*" = ["I"] +# "rllib/connectors/*" = ["I"] +# "rllib/evaluation/*" = ["I"] +# "rllib/models/*" = ["I"] +"rllib/utils/*" = ["I"] +"rllib/algorithms/*" = ["I"] +"rllib/core/*" = ["I"] +"rllib/examples/*" = ["I"] +"rllib/offline/*" = ["I"] +"rllib/tests/*" = ["I"] +"rllib/callbacks/*" = ["I"] +"rllib/env/*" = ["I"] +"rllib/execution/*" = ["I"] +"rllib/policy/*" = ["I"] +"rllib/tuned_examples/*" = ["I"] "release/*" = ["I"] # TODO(matthewdeng): Remove this line diff --git a/rllib/benchmarks/ppo/benchmark_atari_ppo.py b/rllib/benchmarks/ppo/benchmark_atari_ppo.py index 8700dfbb1fe5..d62e18b01407 100644 --- a/rllib/benchmarks/ppo/benchmark_atari_ppo.py +++ b/rllib/benchmarks/ppo/benchmark_atari_ppo.py @@ -21,7 +21,6 @@ from ray.rllib.utils.test_utils import add_rllib_example_script_args - parser = add_rllib_example_script_args() # Might need `gymnasium[atari, other]` to be installed. diff --git a/rllib/benchmarks/torch_compile/run_inference_bm.py b/rllib/benchmarks/torch_compile/run_inference_bm.py index e15b87be5965..c5e129e3d612 100644 --- a/rllib/benchmarks/torch_compile/run_inference_bm.py +++ b/rllib/benchmarks/torch_compile/run_inference_bm.py @@ -1,17 +1,15 @@ import argparse - -import matplotlib.pyplot as plt +import json +from pathlib import Path import gymnasium as gym -from pathlib import Path +import matplotlib.pyplot as plt import numpy as np -import json -import tqdm - import torch +import tqdm -from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog +from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule from ray.rllib.benchmarks.torch_compile.utils import get_ppo_batch_for_env, timed from ray.rllib.core.rl_module.rl_module import RLModuleSpec from ray.rllib.core.rl_module.torch.torch_rl_module import TorchCompileConfig diff --git a/rllib/benchmarks/torch_compile/utils.py b/rllib/benchmarks/torch_compile/utils.py index 88aa45d09e2b..bba834f4d98a 100644 --- a/rllib/benchmarks/torch_compile/utils.py +++ b/rllib/benchmarks/torch_compile/utils.py @@ -1,9 +1,8 @@ +import time from typing import Union -import numpy as np import gymnasium as gym -import time - +import numpy as np import torch from ray.rllib.policy.sample_batch import SampleBatch diff --git a/rllib/connectors/action/clip.py b/rllib/connectors/action/clip.py index da7c8b97bf92..4450ea444238 100644 --- a/rllib/connectors/action/clip.py +++ b/rllib/connectors/action/clip.py @@ -5,9 +5,9 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.spaces.space_utils import clip_action, get_base_struct_from_space from ray.rllib.utils.typing import ActionConnectorDataType -from ray.rllib.utils.annotations import OldAPIStack @OldAPIStack diff --git a/rllib/connectors/action/immutable.py b/rllib/connectors/action/immutable.py index 3f5c8bbd197c..13f3cbc3c722 100644 --- a/rllib/connectors/action/immutable.py +++ b/rllib/connectors/action/immutable.py @@ -7,9 +7,9 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.numpy import make_action_immutable from ray.rllib.utils.typing import ActionConnectorDataType -from ray.rllib.utils.annotations import OldAPIStack @OldAPIStack diff --git a/rllib/connectors/action/lambdas.py b/rllib/connectors/action/lambdas.py index 3bf862dd834d..8501e66ba3c2 100644 --- a/rllib/connectors/action/lambdas.py +++ b/rllib/connectors/action/lambdas.py @@ -5,6 +5,7 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.numpy import convert_to_numpy from ray.rllib.utils.typing import ( ActionConnectorDataType, @@ -12,7 +13,6 @@ StateBatches, TensorStructType, ) -from ray.rllib.utils.annotations import OldAPIStack @OldAPIStack diff --git a/rllib/connectors/action/normalize.py b/rllib/connectors/action/normalize.py index 67c3731469a7..de20adc09e99 100644 --- a/rllib/connectors/action/normalize.py +++ b/rllib/connectors/action/normalize.py @@ -5,12 +5,12 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.spaces.space_utils import ( get_base_struct_from_space, unsquash_action, ) from ray.rllib.utils.typing import ActionConnectorDataType -from ray.rllib.utils.annotations import OldAPIStack @OldAPIStack diff --git a/rllib/connectors/action/pipeline.py b/rllib/connectors/action/pipeline.py index a93fd3eb340e..8f78da44fb48 100644 --- a/rllib/connectors/action/pipeline.py +++ b/rllib/connectors/action/pipeline.py @@ -1,6 +1,6 @@ import logging -from typing import Any, List from collections import defaultdict +from typing import Any, List from ray.rllib.connectors.connector import ( ActionConnector, @@ -13,7 +13,6 @@ from ray.rllib.utils.typing import ActionConnectorDataType from ray.util.timer import _Timer - logger = logging.getLogger(__name__) diff --git a/rllib/connectors/agent/clip_reward.py b/rllib/connectors/agent/clip_reward.py index 8d6c89916c97..b5ce8b5cee71 100644 --- a/rllib/connectors/agent/clip_reward.py +++ b/rllib/connectors/agent/clip_reward.py @@ -8,8 +8,8 @@ ) from ray.rllib.connectors.registry import register_connector from ray.rllib.policy.sample_batch import SampleBatch -from ray.rllib.utils.typing import AgentConnectorDataType from ray.rllib.utils.annotations import OldAPIStack +from ray.rllib.utils.typing import AgentConnectorDataType @OldAPIStack diff --git a/rllib/connectors/agent/env_sampling.py b/rllib/connectors/agent/env_sampling.py index f0ba6f0a4384..0621e100c7f0 100644 --- a/rllib/connectors/agent/env_sampling.py +++ b/rllib/connectors/agent/env_sampling.py @@ -5,8 +5,8 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector -from ray.rllib.utils.typing import AgentConnectorDataType from ray.rllib.utils.annotations import OldAPIStack +from ray.rllib.utils.typing import AgentConnectorDataType @OldAPIStack diff --git a/rllib/connectors/agent/lambdas.py b/rllib/connectors/agent/lambdas.py index 05a714a0df98..643f5e4ec351 100644 --- a/rllib/connectors/agent/lambdas.py +++ b/rllib/connectors/agent/lambdas.py @@ -9,11 +9,11 @@ ) from ray.rllib.connectors.registry import register_connector from ray.rllib.policy.sample_batch import SampleBatch +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.typing import ( AgentConnectorDataType, AgentConnectorsOutput, ) -from ray.rllib.utils.annotations import OldAPIStack @OldAPIStack diff --git a/rllib/connectors/agent/mean_std_filter.py b/rllib/connectors/agent/mean_std_filter.py index b2079344a203..b22abb0867ef 100644 --- a/rllib/connectors/agent/mean_std_filter.py +++ b/rllib/connectors/agent/mean_std_filter.py @@ -1,22 +1,25 @@ from typing import Any, List -from gymnasium.spaces import Discrete, MultiDiscrete import numpy as np import tree +from gymnasium.spaces import Discrete, MultiDiscrete from ray.rllib.connectors.agent.synced_filter import SyncedFilterAgentConnector -from ray.rllib.connectors.connector import AgentConnector from ray.rllib.connectors.connector import ( + AgentConnector, ConnectorContext, ) from ray.rllib.connectors.registry import register_connector from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.filter import Filter -from ray.rllib.utils.filter import MeanStdFilter, ConcurrentMeanStdFilter +from ray.rllib.utils.filter import ( + ConcurrentMeanStdFilter, + Filter, + MeanStdFilter, + RunningStat, +) from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.typing import AgentConnectorDataType -from ray.rllib.utils.filter import RunningStat @OldAPIStack diff --git a/rllib/connectors/agent/obs_preproc.py b/rllib/connectors/agent/obs_preproc.py index f783bb6718cc..300fee9f7d5b 100644 --- a/rllib/connectors/agent/obs_preproc.py +++ b/rllib/connectors/agent/obs_preproc.py @@ -5,10 +5,10 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector -from ray.rllib.models.preprocessors import get_preprocessor, NoPreprocessor +from ray.rllib.models.preprocessors import NoPreprocessor, get_preprocessor from ray.rllib.policy.sample_batch import SampleBatch -from ray.rllib.utils.typing import AgentConnectorDataType from ray.rllib.utils.annotations import OldAPIStack +from ray.rllib.utils.typing import AgentConnectorDataType @OldAPIStack diff --git a/rllib/connectors/agent/pipeline.py b/rllib/connectors/agent/pipeline.py index 898ac79b1c70..26655386094a 100644 --- a/rllib/connectors/agent/pipeline.py +++ b/rllib/connectors/agent/pipeline.py @@ -1,6 +1,6 @@ import logging -from typing import Any, List from collections import defaultdict +from typing import Any, List from ray.rllib.connectors.connector import ( AgentConnector, @@ -9,11 +9,10 @@ ConnectorPipeline, ) from ray.rllib.connectors.registry import get_connector, register_connector -from ray.rllib.utils.typing import ActionConnectorDataType, AgentConnectorDataType from ray.rllib.utils.annotations import OldAPIStack +from ray.rllib.utils.typing import ActionConnectorDataType, AgentConnectorDataType from ray.util.timer import _Timer - logger = logging.getLogger(__name__) diff --git a/rllib/connectors/agent/state_buffer.py b/rllib/connectors/agent/state_buffer.py index 4516abd8bbe0..54ff17160ca5 100644 --- a/rllib/connectors/agent/state_buffer.py +++ b/rllib/connectors/agent/state_buffer.py @@ -1,25 +1,23 @@ -from collections import defaultdict import logging import pickle +from collections import defaultdict from typing import Any import numpy as np -from ray.rllib.utils.annotations import override import tree # dm_tree +from ray import cloudpickle from ray.rllib.connectors.connector import ( AgentConnector, Connector, ConnectorContext, ) -from ray import cloudpickle from ray.rllib.connectors.registry import register_connector from ray.rllib.core.columns import Columns from ray.rllib.policy.sample_batch import SampleBatch +from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.typing import ActionConnectorDataType, AgentConnectorDataType -from ray.rllib.utils.annotations import OldAPIStack - logger = logging.getLogger(__name__) diff --git a/rllib/connectors/agent/view_requirement.py b/rllib/connectors/agent/view_requirement.py index 7f035bb97a92..c24ef373fa49 100644 --- a/rllib/connectors/agent/view_requirement.py +++ b/rllib/connectors/agent/view_requirement.py @@ -6,13 +6,13 @@ ConnectorContext, ) from ray.rllib.connectors.registry import register_connector +from ray.rllib.evaluation.collectors.agent_collector import AgentCollector from ray.rllib.policy.sample_batch import SampleBatch +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.typing import ( AgentConnectorDataType, AgentConnectorsOutput, ) -from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.evaluation.collectors.agent_collector import AgentCollector @OldAPIStack diff --git a/rllib/connectors/common/__init__.py b/rllib/connectors/common/__init__.py index 6ef51fb15073..b11ec7b77263 100644 --- a/rllib/connectors/common/__init__.py +++ b/rllib/connectors/common/__init__.py @@ -12,7 +12,6 @@ from ray.rllib.connectors.common.numpy_to_tensor import NumpyToTensor from ray.rllib.connectors.common.tensor_to_numpy import TensorToNumpy - __all__ = [ "AddObservationsFromEpisodesToBatch", "AddStatesFromEpisodesToBatch", diff --git a/rllib/connectors/common/add_observations_from_episodes_to_batch.py b/rllib/connectors/common/add_observations_from_episodes_to_batch.py index 54fab7b064c5..189684ba97d4 100644 --- a/rllib/connectors/common/add_observations_from_episodes_to_batch.py +++ b/rllib/connectors/common/add_observations_from_episodes_to_batch.py @@ -2,8 +2,8 @@ import gymnasium as gym -from ray.rllib.core.columns import Columns from ray.rllib.connectors.connector_v2 import ConnectorV2 +from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.utils.annotations import override from ray.rllib.utils.typing import EpisodeType diff --git a/rllib/connectors/common/frame_stacking.py b/rllib/connectors/common/frame_stacking.py index f889d1c6c506..a99b145bd5f5 100644 --- a/rllib/connectors/common/frame_stacking.py +++ b/rllib/connectors/common/frame_stacking.py @@ -1,7 +1,7 @@ -import numpy as np from typing import Any, Dict, List, Optional import gymnasium as gym +import numpy as np import tree # pip install dm_tree from ray.rllib.connectors.connector_v2 import ConnectorV2 diff --git a/rllib/connectors/connector.py b/rllib/connectors/connector.py index ea53243331eb..2a8a6a51911b 100644 --- a/rllib/connectors/connector.py +++ b/rllib/connectors/connector.py @@ -8,13 +8,13 @@ import gymnasium as gym from ray.rllib.policy.view_requirement import ViewRequirement +from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.typing import ( ActionConnectorDataType, AgentConnectorDataType, AlgorithmConfigDict, TensorType, ) -from ray.rllib.utils.annotations import OldAPIStack if TYPE_CHECKING: from ray.rllib.policy.policy import Policy diff --git a/rllib/connectors/connector_pipeline_v2.py b/rllib/connectors/connector_pipeline_v2.py index f8273b3233f9..66ee6a5aed9b 100644 --- a/rllib/connectors/connector_pipeline_v2.py +++ b/rllib/connectors/connector_pipeline_v2.py @@ -7,7 +7,7 @@ from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.utils.annotations import override from ray.rllib.utils.checkpoints import Checkpointable -from ray.rllib.utils.metrics import TIMERS, CONNECTOR_PIPELINE_TIMER, CONNECTOR_TIMERS +from ray.rllib.utils.metrics import CONNECTOR_PIPELINE_TIMER, CONNECTOR_TIMERS, TIMERS from ray.rllib.utils.metrics.metrics_logger import MetricsLogger from ray.rllib.utils.metrics.utils import to_snake_case from ray.rllib.utils.typing import EpisodeType, StateDict diff --git a/rllib/connectors/connector_v2.py b/rllib/connectors/connector_v2.py index 311957717aad..9b1129eca8b8 100644 --- a/rllib/connectors/connector_v2.py +++ b/rllib/connectors/connector_v2.py @@ -1,6 +1,6 @@ import abc -from collections import defaultdict import inspect +from collections import defaultdict from typing import ( Any, Callable, @@ -19,7 +19,7 @@ from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.env.single_agent_episode import SingleAgentEpisode from ray.rllib.utils import force_list -from ray.rllib.utils.annotations import override, OverrideToImplementCustomLogic +from ray.rllib.utils.annotations import OverrideToImplementCustomLogic, override from ray.rllib.utils.checkpoints import Checkpointable from ray.rllib.utils.metrics.metrics_logger import MetricsLogger from ray.rllib.utils.spaces.space_utils import BatchedNdArray diff --git a/rllib/connectors/env_to_module/__init__.py b/rllib/connectors/env_to_module/__init__.py index d513e596446c..9ae184ee597b 100644 --- a/rllib/connectors/env_to_module/__init__.py +++ b/rllib/connectors/env_to_module/__init__.py @@ -24,7 +24,6 @@ WriteObservationsToEpisodes, ) - __all__ = [ "AddObservationsFromEpisodesToBatch", "AddStatesFromEpisodesToBatch", diff --git a/rllib/connectors/env_to_module/flatten_observations.py b/rllib/connectors/env_to_module/flatten_observations.py index 986341685d5e..fccb083e84b7 100644 --- a/rllib/connectors/env_to_module/flatten_observations.py +++ b/rllib/connectors/env_to_module/flatten_observations.py @@ -1,9 +1,9 @@ from typing import Any, Collection, Dict, List, Optional import gymnasium as gym -from gymnasium.spaces import Box import numpy as np import tree # pip install dm_tree +from gymnasium.spaces import Box from ray.rllib.connectors.connector_v2 import ConnectorV2 from ray.rllib.core.rl_module.rl_module import RLModule diff --git a/rllib/connectors/env_to_module/frame_stacking.py b/rllib/connectors/env_to_module/frame_stacking.py index d6e7dea498a5..8269d859059f 100644 --- a/rllib/connectors/env_to_module/frame_stacking.py +++ b/rllib/connectors/env_to_module/frame_stacking.py @@ -2,5 +2,4 @@ from ray.rllib.connectors.common.frame_stacking import FrameStacking - FrameStackingEnvToModule = partial(FrameStacking, as_learner_connector=False) diff --git a/rllib/connectors/env_to_module/mean_std_filter.py b/rllib/connectors/env_to_module/mean_std_filter.py index 39a452657f5d..c668a0492d08 100644 --- a/rllib/connectors/env_to_module/mean_std_filter.py +++ b/rllib/connectors/env_to_module/mean_std_filter.py @@ -1,9 +1,9 @@ from typing import Any, Collection, Dict, List, Optional, Union import gymnasium as gym -from gymnasium.spaces import Discrete, MultiDiscrete import numpy as np import tree +from gymnasium.spaces import Discrete, MultiDiscrete from ray.rllib.connectors.connector_v2 import ConnectorV2 from ray.rllib.core.rl_module.rl_module import RLModule diff --git a/rllib/connectors/env_to_module/prev_actions_prev_rewards.py b/rllib/connectors/env_to_module/prev_actions_prev_rewards.py index 35e29d02a521..14016971ceb7 100644 --- a/rllib/connectors/env_to_module/prev_actions_prev_rewards.py +++ b/rllib/connectors/env_to_module/prev_actions_prev_rewards.py @@ -1,8 +1,8 @@ from typing import Any, Dict, List, Optional import gymnasium as gym -from gymnasium.spaces import Box import numpy as np +from gymnasium.spaces import Box from ray.rllib.connectors.connector_v2 import ConnectorV2 from ray.rllib.core.rl_module.rl_module import RLModule diff --git a/rllib/connectors/learner/add_next_observations_from_episodes_to_train_batch.py b/rllib/connectors/learner/add_next_observations_from_episodes_to_train_batch.py index 6efa3b706bf1..e0ea6abfb234 100644 --- a/rllib/connectors/learner/add_next_observations_from_episodes_to_train_batch.py +++ b/rllib/connectors/learner/add_next_observations_from_episodes_to_train_batch.py @@ -1,7 +1,7 @@ from typing import Any, Dict, List, Optional -from ray.rllib.core.columns import Columns from ray.rllib.connectors.connector_v2 import ConnectorV2 +from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.utils.annotations import override from ray.rllib.utils.typing import EpisodeType diff --git a/rllib/connectors/learner/compute_returns_to_go.py b/rllib/connectors/learner/compute_returns_to_go.py index d005b8c5accb..6a2c860559bc 100644 --- a/rllib/connectors/learner/compute_returns_to_go.py +++ b/rllib/connectors/learner/compute_returns_to_go.py @@ -1,4 +1,4 @@ -from typing import Any, List, Dict +from typing import Any, Dict, List import scipy diff --git a/rllib/connectors/learner/frame_stacking.py b/rllib/connectors/learner/frame_stacking.py index f431eb727259..012a630f7d4a 100644 --- a/rllib/connectors/learner/frame_stacking.py +++ b/rllib/connectors/learner/frame_stacking.py @@ -2,5 +2,4 @@ from ray.rllib.connectors.common.frame_stacking import FrameStacking - FrameStackingLearner = partial(FrameStacking, as_learner_connector=True) diff --git a/rllib/connectors/learner/general_advantage_estimation.py b/rllib/connectors/learner/general_advantage_estimation.py index cf99887328cf..5d7f278e112b 100644 --- a/rllib/connectors/learner/general_advantage_estimation.py +++ b/rllib/connectors/learner/general_advantage_estimation.py @@ -1,9 +1,9 @@ -from typing import Any, List, Dict +from typing import Any, Dict, List import numpy as np -from ray.rllib.connectors.connector_v2 import ConnectorV2 from ray.rllib.connectors.common.numpy_to_tensor import NumpyToTensor +from ray.rllib.connectors.connector_v2 import ConnectorV2 from ray.rllib.core.columns import Columns from ray.rllib.core.rl_module.apis.value_function_api import ValueFunctionAPI from ray.rllib.core.rl_module.multi_rl_module import MultiRLModule diff --git a/rllib/connectors/learner/learner_connector_pipeline.py b/rllib/connectors/learner/learner_connector_pipeline.py index 08c25347594a..98f9e0970449 100644 --- a/rllib/connectors/learner/learner_connector_pipeline.py +++ b/rllib/connectors/learner/learner_connector_pipeline.py @@ -1,4 +1,5 @@ from typing import Any, Dict, List, Optional + from ray.rllib.connectors.connector_pipeline_v2 import ConnectorPipelineV2 from ray.rllib.core.rl_module.rl_module import RLModule from ray.rllib.utils.annotations import override diff --git a/rllib/connectors/module_to_env/__init__.py b/rllib/connectors/module_to_env/__init__.py index 2fc76488be7b..6f6d55364221 100644 --- a/rllib/connectors/module_to_env/__init__.py +++ b/rllib/connectors/module_to_env/__init__.py @@ -1,5 +1,5 @@ -from ray.rllib.connectors.common.tensor_to_numpy import TensorToNumpy from ray.rllib.connectors.common.module_to_agent_unmapping import ModuleToAgentUnmapping +from ray.rllib.connectors.common.tensor_to_numpy import TensorToNumpy from ray.rllib.connectors.module_to_env.get_actions import GetActions from ray.rllib.connectors.module_to_env.listify_data_for_vector_env import ( ListifyDataForVectorEnv, @@ -17,7 +17,6 @@ UnBatchToIndividualItems, ) - __all__ = [ "GetActions", "ListifyDataForVectorEnv", diff --git a/rllib/connectors/registry.py b/rllib/connectors/registry.py index 8efe64515eea..2f51aa6f446a 100644 --- a/rllib/connectors/registry.py +++ b/rllib/connectors/registry.py @@ -1,9 +1,8 @@ """Registry of connector names for global access.""" from typing import Any -from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.connectors.connector import Connector, ConnectorContext - +from ray.rllib.utils.annotations import OldAPIStack ALL_CONNECTORS = dict() diff --git a/rllib/connectors/util.py b/rllib/connectors/util.py index ff00b6d49dfe..e7824a075d38 100644 --- a/rllib/connectors/util.py +++ b/rllib/connectors/util.py @@ -1,5 +1,5 @@ import logging -from typing import Any, Tuple, TYPE_CHECKING +from typing import TYPE_CHECKING, Any, Tuple from ray.rllib.connectors.action.clip import ClipActionsConnector from ray.rllib.connectors.action.immutable import ImmutableActionsConnector @@ -7,18 +7,18 @@ from ray.rllib.connectors.action.normalize import NormalizeActionsConnector from ray.rllib.connectors.action.pipeline import ActionConnectorPipeline from ray.rllib.connectors.agent.clip_reward import ClipRewardAgentConnector +from ray.rllib.connectors.agent.mean_std_filter import ( + ConcurrentMeanStdObservationFilterAgentConnector, + MeanStdObservationFilterAgentConnector, +) from ray.rllib.connectors.agent.obs_preproc import ObsPreprocessorConnector from ray.rllib.connectors.agent.pipeline import AgentConnectorPipeline from ray.rllib.connectors.agent.state_buffer import StateBufferConnector +from ray.rllib.connectors.agent.synced_filter import SyncedFilterAgentConnector from ray.rllib.connectors.agent.view_requirement import ViewRequirementAgentConnector from ray.rllib.connectors.connector import Connector, ConnectorContext from ray.rllib.connectors.registry import get_connector -from ray.rllib.connectors.agent.mean_std_filter import ( - MeanStdObservationFilterAgentConnector, - ConcurrentMeanStdObservationFilterAgentConnector, -) from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.connectors.agent.synced_filter import SyncedFilterAgentConnector if TYPE_CHECKING: from ray.rllib.algorithms.algorithm_config import AlgorithmConfig diff --git a/rllib/evaluation/__init__.py b/rllib/evaluation/__init__.py index 08f5bd48be3d..d8e0237f4265 100644 --- a/rllib/evaluation/__init__.py +++ b/rllib/evaluation/__init__.py @@ -1,12 +1,12 @@ +from ray.rllib.evaluation.metrics import collect_metrics +from ray.rllib.evaluation.postprocessing import compute_advantages from ray.rllib.evaluation.rollout_worker import RolloutWorker from ray.rllib.evaluation.sample_batch_builder import ( - SampleBatchBuilder, MultiAgentSampleBatchBuilder, + SampleBatchBuilder, ) from ray.rllib.evaluation.sampler import SyncSampler -from ray.rllib.evaluation.postprocessing import compute_advantages -from ray.rllib.evaluation.metrics import collect_metrics -from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch +from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch __all__ = [ "RolloutWorker", diff --git a/rllib/evaluation/collectors/agent_collector.py b/rllib/evaluation/collectors/agent_collector.py index 1180a7f3784e..2950641c8663 100644 --- a/rllib/evaluation/collectors/agent_collector.py +++ b/rllib/evaluation/collectors/agent_collector.py @@ -16,8 +16,8 @@ get_dummy_batch_for_space, ) from ray.rllib.utils.typing import ( - EpisodeID, EnvID, + EpisodeID, TensorType, ViewRequirementsDict, ) diff --git a/rllib/evaluation/collectors/simple_list_collector.py b/rllib/evaluation/collectors/simple_list_collector.py index a301f61ec0df..3d1b629983b9 100644 --- a/rllib/evaluation/collectors/simple_list_collector.py +++ b/rllib/evaluation/collectors/simple_list_collector.py @@ -1,24 +1,25 @@ import collections -from gymnasium.spaces import Space import logging +from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union + import numpy as np import tree # pip install dm_tree -from typing import Dict, List, Optional, Tuple, TYPE_CHECKING, Union +from gymnasium.spaces import Space from ray.rllib.env.base_env import _DUMMY_AGENT_ID -from ray.rllib.evaluation.collectors.sample_collector import SampleCollector from ray.rllib.evaluation.collectors.agent_collector import AgentCollector +from ray.rllib.evaluation.collectors.sample_collector import SampleCollector from ray.rllib.policy.policy import Policy from ray.rllib.policy.policy_map import PolicyMap -from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch, concat_samples +from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch, concat_samples from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.debug import summarize from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.rllib.utils.spaces.space_utils import get_dummy_batch_for_space from ray.rllib.utils.typing import ( AgentID, - EpisodeID, EnvID, + EpisodeID, PolicyID, TensorType, ViewRequirementsDict, diff --git a/rllib/evaluation/env_runner_v2.py b/rllib/evaluation/env_runner_v2.py index f052ee791557..f7090a150f22 100644 --- a/rllib/evaluation/env_runner_v2.py +++ b/rllib/evaluation/env_runner_v2.py @@ -1,9 +1,10 @@ -from collections import defaultdict import logging import time -import tree # pip install dm_tree +from collections import defaultdict from typing import TYPE_CHECKING, Dict, Iterator, List, Optional, Set, Tuple, Union + import numpy as np +import tree # pip install dm_tree from ray.rllib.env.base_env import ASYNC_RESET_RETURN, BaseEnv from ray.rllib.env.external_env import ExternalEnvWrapper @@ -17,7 +18,7 @@ from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.filter import Filter from ray.rllib.utils.numpy import convert_to_numpy -from ray.rllib.utils.spaces.space_utils import unbatch, get_original_space +from ray.rllib.utils.spaces.space_utils import get_original_space, unbatch from ray.rllib.utils.typing import ( ActionConnectorDataType, AgentConnectorDataType, diff --git a/rllib/evaluation/episode_v2.py b/rllib/evaluation/episode_v2.py index e894bee48a56..72e3e8520247 100644 --- a/rllib/evaluation/episode_v2.py +++ b/rllib/evaluation/episode_v2.py @@ -1,14 +1,15 @@ import random from collections import defaultdict -import numpy as np from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple +import numpy as np + from ray.rllib.env.base_env import _DUMMY_AGENT_ID +from ray.rllib.evaluation.collectors.agent_collector import AgentCollector from ray.rllib.evaluation.collectors.simple_list_collector import ( _PolicyCollector, _PolicyCollectorGroup, ) -from ray.rllib.evaluation.collectors.agent_collector import AgentCollector from ray.rllib.policy.policy_map import PolicyMap from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import OldAPIStack diff --git a/rllib/evaluation/metrics.py b/rllib/evaluation/metrics.py index 016ad2a86264..32caccbc95f6 100644 --- a/rllib/evaluation/metrics.py +++ b/rllib/evaluation/metrics.py @@ -1,7 +1,8 @@ import collections import logging +from typing import TYPE_CHECKING, List, Optional + import numpy as np -from typing import List, Optional, TYPE_CHECKING from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID from ray.rllib.utils.annotations import OldAPIStack diff --git a/rllib/evaluation/observation_function.py b/rllib/evaluation/observation_function.py index c670ed5192cf..cfcf1c792ed0 100644 --- a/rllib/evaluation/observation_function.py +++ b/rllib/evaluation/observation_function.py @@ -1,8 +1,8 @@ from typing import Dict from ray.rllib.env import BaseEnv -from ray.rllib.policy import Policy from ray.rllib.evaluation import RolloutWorker +from ray.rllib.policy import Policy from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.framework import TensorType from ray.rllib.utils.typing import AgentID, PolicyID diff --git a/rllib/evaluation/postprocessing.py b/rllib/evaluation/postprocessing.py index 4b0a6c79bd60..817933b95851 100644 --- a/rllib/evaluation/postprocessing.py +++ b/rllib/evaluation/postprocessing.py @@ -1,13 +1,13 @@ +from typing import Dict, Optional + import numpy as np import scipy.signal -from typing import Dict, Optional from ray.rllib.policy.policy import Policy from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.utils.annotations import DeveloperAPI, OldAPIStack from ray.rllib.utils.numpy import convert_to_numpy -from ray.rllib.utils.typing import AgentID -from ray.rllib.utils.typing import TensorType +from ray.rllib.utils.typing import AgentID, TensorType @DeveloperAPI diff --git a/rllib/evaluation/rollout_worker.py b/rllib/evaluation/rollout_worker.py index 7beec9447edc..73c5b7c8c95a 100644 --- a/rllib/evaluation/rollout_worker.py +++ b/rllib/evaluation/rollout_worker.py @@ -23,8 +23,7 @@ from gymnasium.spaces import Space import ray -from ray import ObjectRef -from ray import cloudpickle as pickle +from ray import ObjectRef, cloudpickle as pickle from ray.rllib.connectors.util import ( create_connectors_for_policy, maybe_get_filters_for_syncing, @@ -74,8 +73,10 @@ from ray.rllib.utils.policy import create_policy_for_framework from ray.rllib.utils.sgd import do_minibatch_sgd from ray.rllib.utils.tf_run_builder import _TFRunBuilder -from ray.rllib.utils.tf_utils import get_gpu_devices as get_tf_gpu_devices -from ray.rllib.utils.tf_utils import get_tf_eager_cls_if_necessary +from ray.rllib.utils.tf_utils import ( + get_gpu_devices as get_tf_gpu_devices, + get_tf_eager_cls_if_necessary, +) from ray.rllib.utils.typing import ( AgentID, EnvCreator, diff --git a/rllib/evaluation/sample_batch_builder.py b/rllib/evaluation/sample_batch_builder.py index e42242e375a2..816932e3ebcf 100644 --- a/rllib/evaluation/sample_batch_builder.py +++ b/rllib/evaluation/sample_batch_builder.py @@ -1,15 +1,16 @@ import collections import logging +from typing import TYPE_CHECKING, Any, Dict, List + import numpy as np -from typing import List, Any, Dict, TYPE_CHECKING +from ray._common.deprecation import deprecation_warning from ray.rllib.env.base_env import _DUMMY_AGENT_ID from ray.rllib.policy.policy import Policy -from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch +from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.debug import summarize -from ray._common.deprecation import deprecation_warning -from ray.rllib.utils.typing import PolicyID, AgentID +from ray.rllib.utils.typing import AgentID, PolicyID from ray.util.debug import log_once if TYPE_CHECKING: diff --git a/rllib/evaluation/sampler.py b/rllib/evaluation/sampler.py index 9fb2a3700029..cea82dc4d895 100644 --- a/rllib/evaluation/sampler.py +++ b/rllib/evaluation/sampler.py @@ -11,6 +11,7 @@ Union, ) +from ray._common.deprecation import DEPRECATED_VALUE, deprecation_warning from ray.rllib.env.base_env import BaseEnv, convert_to_base_env from ray.rllib.evaluation.collectors.sample_collector import SampleCollector from ray.rllib.evaluation.collectors.simple_list_collector import SimpleListCollector @@ -19,7 +20,6 @@ from ray.rllib.offline import InputReader from ray.rllib.policy.sample_batch import concat_samples from ray.rllib.utils.annotations import OldAPIStack, override -from ray._common.deprecation import deprecation_warning, DEPRECATED_VALUE from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import SampleBatchType from ray.util.debug import log_once diff --git a/rllib/evaluation/tests/test_agent_collector.py b/rllib/evaluation/tests/test_agent_collector.py index 245292dee0af..fef82907fe29 100644 --- a/rllib/evaluation/tests/test_agent_collector.py +++ b/rllib/evaluation/tests/test_agent_collector.py @@ -1,13 +1,14 @@ +import math +import unittest + import gymnasium as gym import numpy as np -import unittest -import ray -import math +import ray +from ray.rllib.evaluation.collectors.agent_collector import AgentCollector from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.policy.view_requirement import ViewRequirement from ray.rllib.utils.test_utils import check -from ray.rllib.evaluation.collectors.agent_collector import AgentCollector class TestAgentCollector(unittest.TestCase): @@ -334,7 +335,8 @@ def test_view_requirement_with_shfit_step(self): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/evaluation/tests/test_env_runner_v2.py b/rllib/evaluation/tests/test_env_runner_v2.py index 30180952c687..0934802ebbeb 100644 --- a/rllib/evaluation/tests/test_env_runner_v2.py +++ b/rllib/evaluation/tests/test_env_runner_v2.py @@ -1,26 +1,25 @@ import unittest + import numpy as np import ray -from ray.rllib.callbacks.callbacks import RLlibCallback from ray.rllib.algorithms.ppo import PPO, PPOConfig +from ray.rllib.callbacks.callbacks import RLlibCallback from ray.rllib.connectors.connector import ActionConnector, ConnectorContext -from ray.rllib.evaluation.metrics import RolloutMetrics -from ray.rllib.examples.envs.classes.debug_counter_env import DebugCounterEnv -from ray.rllib.examples.envs.classes.multi_agent import GuessTheNumberGame -from ray.rllib.examples._old_api_stack.policy.random_policy import RandomPolicy -from ray.rllib.policy.policy import PolicySpec -from ray.tune import register_env -from ray.rllib.policy.sample_batch import convert_ma_batch_to_sample_batch +from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec # The new RLModule / Learner API from ray.rllib.core.rl_module.rl_module import RLModuleSpec -from ray.rllib.core.rl_module.multi_rl_module import MultiRLModuleSpec from ray.rllib.env.tests.test_multi_agent_env import BasicMultiAgent +from ray.rllib.evaluation.metrics import RolloutMetrics +from ray.rllib.examples._old_api_stack.policy.random_policy import RandomPolicy +from ray.rllib.examples.envs.classes.debug_counter_env import DebugCounterEnv +from ray.rllib.examples.envs.classes.multi_agent import GuessTheNumberGame from ray.rllib.examples.rl_modules.classes.random_rlm import RandomRLModule - +from ray.rllib.policy.policy import PolicySpec +from ray.rllib.policy.sample_batch import convert_ma_batch_to_sample_batch from ray.rllib.utils.test_utils import check - +from ray.tune import register_env register_env("basic_multiagent", lambda _: BasicMultiAgent(2)) diff --git a/rllib/evaluation/tests/test_postprocessing.py b/rllib/evaluation/tests/test_postprocessing.py index c0908bbf01e2..d01095d38651 100644 --- a/rllib/evaluation/tests/test_postprocessing.py +++ b/rllib/evaluation/tests/test_postprocessing.py @@ -1,6 +1,7 @@ -import numpy as np import unittest +import numpy as np + import ray from ray.rllib.evaluation.postprocessing import adjust_nstep, discount_cumsum from ray.rllib.policy.sample_batch import SampleBatch @@ -246,7 +247,8 @@ def test_n_step_from_same_obs_source_array(self): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/evaluation/tests/test_rollout_worker.py b/rllib/evaluation/tests/test_rollout_worker.py index 5cb63beb05ad..a1b87efff273 100644 --- a/rllib/evaluation/tests/test_rollout_worker.py +++ b/rllib/evaluation/tests/test_rollout_worker.py @@ -1,19 +1,21 @@ -import gymnasium as gym -from gymnasium.spaces import Box, Discrete -import numpy as np import os import random import time import unittest +import gymnasium as gym +import numpy as np +from gymnasium.spaces import Box, Discrete + import ray from ray.rllib.algorithms.algorithm_config import AlgorithmConfig from ray.rllib.algorithms.ppo import PPOConfig from ray.rllib.env.env_runner_group import EnvRunnerGroup from ray.rllib.env.multi_agent_env import MultiAgentEnv -from ray.rllib.evaluation.rollout_worker import RolloutWorker from ray.rllib.evaluation.metrics import collect_metrics from ray.rllib.evaluation.postprocessing import compute_advantages +from ray.rllib.evaluation.rollout_worker import RolloutWorker +from ray.rllib.examples._old_api_stack.policy.random_policy import RandomPolicy from ray.rllib.examples.envs.classes.mock_env import ( MockEnv, MockEnv2, @@ -22,7 +24,6 @@ ) from ray.rllib.examples.envs.classes.multi_agent import MultiAgentCartPole from ray.rllib.examples.envs.classes.random_env import RandomEnv -from ray.rllib.examples._old_api_stack.policy.random_policy import RandomPolicy from ray.rllib.policy.policy import Policy, PolicySpec from ray.rllib.policy.sample_batch import ( DEFAULT_POLICY_ID, @@ -32,9 +33,9 @@ ) from ray.rllib.utils.annotations import override from ray.rllib.utils.metrics import ( + EPISODE_RETURN_MEAN, NUM_AGENT_STEPS_SAMPLED, NUM_AGENT_STEPS_TRAINED, - EPISODE_RETURN_MEAN, ) from ray.rllib.utils.test_utils import check from ray.tune.registry import register_env @@ -911,7 +912,8 @@ def sample_and_flush(self, ev): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/models/__init__.py b/rllib/models/__init__.py index 8d7091e208fd..c1282a2d055d 100644 --- a/rllib/models/__init__.py +++ b/rllib/models/__init__.py @@ -1,5 +1,5 @@ from ray.rllib.models.action_dist import ActionDistribution -from ray.rllib.models.catalog import ModelCatalog, MODEL_DEFAULTS +from ray.rllib.models.catalog import MODEL_DEFAULTS, ModelCatalog from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.preprocessors import Preprocessor diff --git a/rllib/models/action_dist.py b/rllib/models/action_dist.py index 1cacfdef60c5..c553db8f6cae 100644 --- a/rllib/models/action_dist.py +++ b/rllib/models/action_dist.py @@ -1,9 +1,9 @@ -import numpy as np import gymnasium as gym +import numpy as np from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.typing import TensorType, List, Union, ModelConfigDict +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType, Union @OldAPIStack diff --git a/rllib/models/catalog.py b/rllib/models/catalog.py index 59180bcc8691..324d769ffe73 100644 --- a/rllib/models/catalog.py +++ b/rllib/models/catalog.py @@ -1,19 +1,19 @@ +import logging from functools import partial +from typing import List, Optional, Type, Union + import gymnasium as gym -from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple -import logging import numpy as np import tree # pip install dm_tree -from typing import List, Optional, Type, Union +from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple -from ray.tune.registry import ( - RLLIB_MODEL, - RLLIB_ACTION_DIST, - _global_registry, +from ray._common.deprecation import ( + DEPRECATED_VALUE, + deprecation_warning, ) from ray.rllib.models.action_dist import ActionDistribution from ray.rllib.models.modelv2 import ModelV2 -from ray.rllib.models.preprocessors import get_preprocessor, Preprocessor +from ray.rllib.models.preprocessors import Preprocessor, get_preprocessor from ray.rllib.models.tf.tf_action_dist import ( Categorical, Deterministic, @@ -25,22 +25,23 @@ from ray.rllib.models.torch.torch_action_dist import ( TorchCategorical, TorchDeterministic, - TorchDirichlet, TorchDiagGaussian, + TorchDirichlet, TorchMultiActionDistribution, TorchMultiCategorical, ) from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI -from ray._common.deprecation import ( - DEPRECATED_VALUE, - deprecation_warning, -) from ray.rllib.utils.error import UnsupportedSpaceException from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.rllib.utils.from_config import from_config from ray.rllib.utils.spaces.simplex import Simplex from ray.rllib.utils.spaces.space_utils import flatten_space from ray.rllib.utils.typing import ModelConfigDict, TensorType +from ray.tune.registry import ( + RLLIB_ACTION_DIST, + RLLIB_MODEL, + _global_registry, +) tf1, tf, tfv = try_import_tf() torch, _ = try_import_torch() @@ -768,21 +769,21 @@ def _get_v2_model_class( ComplexNet = None if framework in ["tf2", "tf"]: + from ray.rllib.models.tf.complex_input_net import ( + ComplexInputNetwork as ComplexNet, + ) from ray.rllib.models.tf.fcnet import ( FullyConnectedNetwork as FCNet, ) from ray.rllib.models.tf.visionnet import ( VisionNetwork as VisionNet, ) - from ray.rllib.models.tf.complex_input_net import ( - ComplexInputNetwork as ComplexNet, - ) elif framework == "torch": - from ray.rllib.models.torch.fcnet import FullyConnectedNetwork as FCNet - from ray.rllib.models.torch.visionnet import VisionNetwork as VisionNet from ray.rllib.models.torch.complex_input_net import ( ComplexInputNetwork as ComplexNet, ) + from ray.rllib.models.torch.fcnet import FullyConnectedNetwork as FCNet + from ray.rllib.models.torch.visionnet import VisionNetwork as VisionNet elif framework == "jax": from ray.rllib.models.jax.fcnet import FullyConnectedNetwork as FCNet else: diff --git a/rllib/models/modelv2.py b/rllib/models/modelv2.py index c3eda53c171d..563cbffb56f9 100644 --- a/rllib/models/modelv2.py +++ b/rllib/models/modelv2.py @@ -1,18 +1,19 @@ -from collections import OrderedDict import contextlib +from collections import OrderedDict +from typing import Any, Dict, List, Union + import gymnasium as gym -from gymnasium.spaces import Space import numpy as np -from typing import Dict, List, Any, Union +from gymnasium.spaces import Space -from ray.rllib.models.preprocessors import get_preprocessor, RepeatedValuesPreprocessor +from ray._common.deprecation import Deprecated +from ray.rllib.models.preprocessors import RepeatedValuesPreprocessor, get_preprocessor from ray.rllib.models.repeated_values import RepeatedValues from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.policy.view_requirement import ViewRequirement from ray.rllib.utils import NullContextManager from ray.rllib.utils.annotations import OldAPIStack -from ray._common.deprecation import Deprecated -from ray.rllib.utils.framework import try_import_tf, try_import_torch, TensorType +from ray.rllib.utils.framework import TensorType, try_import_tf, try_import_torch from ray.rllib.utils.spaces.repeated import Repeated from ray.rllib.utils.typing import ModelConfigDict, ModelInputDict, TensorStructType diff --git a/rllib/models/preprocessors.py b/rllib/models/preprocessors.py index ad15d0c15512..0531c8f8932e 100644 --- a/rllib/models/preprocessors.py +++ b/rllib/models/preprocessors.py @@ -1,14 +1,15 @@ -from collections import OrderedDict import logging -import numpy as np -import gymnasium as gym +from collections import OrderedDict from typing import Any, List +import gymnasium as gym +import numpy as np + from ray.rllib.utils.annotations import OldAPIStack, override -from ray.rllib.utils.spaces.repeated import Repeated -from ray.rllib.utils.typing import TensorType from ray.rllib.utils.images import resize +from ray.rllib.utils.spaces.repeated import Repeated from ray.rllib.utils.spaces.space_utils import convert_element_to_space_type +from ray.rllib.utils.typing import TensorType ATARI_OBS_SHAPE = (210, 160, 3) ATARI_RAM_OBS_SHAPE = (128,) diff --git a/rllib/models/repeated_values.py b/rllib/models/repeated_values.py index 7ecef777f667..305298987141 100644 --- a/rllib/models/repeated_values.py +++ b/rllib/models/repeated_values.py @@ -1,7 +1,7 @@ from typing import List from ray.rllib.utils.annotations import OldAPIStack -from ray.rllib.utils.typing import TensorType, TensorStructType +from ray.rllib.utils.typing import TensorStructType, TensorType @OldAPIStack diff --git a/rllib/models/tests/test_action_distributions.py b/rllib/models/tests/test_action_distributions.py index 254b8ba315cd..f8accc4c8c08 100644 --- a/rllib/models/tests/test_action_distributions.py +++ b/rllib/models/tests/test_action_distributions.py @@ -1,7 +1,8 @@ -from gymnasium.spaces import Box +import unittest + import numpy as np +from gymnasium.spaces import Box from scipy.stats import norm -import unittest from ray.rllib.models.torch.torch_action_dist import ( TorchCategorical, @@ -9,9 +10,9 @@ ) from ray.rllib.utils.framework import try_import_tf, try_import_torch from ray.rllib.utils.numpy import ( - softmax, - SMALL_NUMBER, LARGE_INTEGER, + SMALL_NUMBER, + softmax, ) from ray.rllib.utils.test_utils import check @@ -191,7 +192,8 @@ def test_diag_gaussian(self): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/models/tests/test_distributions.py b/rllib/models/tests/test_distributions.py index c1addfff79db..b7c9c589ae07 100644 --- a/rllib/models/tests/test_distributions.py +++ b/rllib/models/tests/test_distributions.py @@ -1,19 +1,20 @@ +import math +import unittest from copy import copy + import numpy as np -import unittest -import math from ray.rllib.core.distribution.torch.torch_distribution import ( TorchCategorical, - TorchDiagGaussian, TorchDeterministic, + TorchDiagGaussian, TorchMultiCategorical, ) from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.numpy import ( - softmax, - SMALL_NUMBER, LARGE_INTEGER, + SMALL_NUMBER, + softmax, ) from ray.rllib.utils.test_utils import check @@ -268,7 +269,8 @@ def test_determinstic(self): if __name__ == "__main__": - import pytest import sys + import pytest + sys.exit(pytest.main(["-v", __file__])) diff --git a/rllib/models/tf/__init__.py b/rllib/models/tf/__init__.py index 86d33b39d455..106ab9babdde 100644 --- a/rllib/models/tf/__init__.py +++ b/rllib/models/tf/__init__.py @@ -1,6 +1,6 @@ -from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.models.tf.fcnet import FullyConnectedNetwork from ray.rllib.models.tf.recurrent_net import RecurrentNetwork +from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.models.tf.visionnet import VisionNetwork __all__ = [ diff --git a/rllib/models/tf/attention_net.py b/rllib/models/tf/attention_net.py index 3a250bf897c1..aacd7e58d473 100644 --- a/rllib/models/tf/attention_net.py +++ b/rllib/models/tf/attention_net.py @@ -8,28 +8,29 @@ Z. Dai, Z. Yang, et al. - Carnegie Mellon U - 2019. https://www.aclweb.org/anthology/P19-1285.pdf """ +from typing import Any, Dict, Optional, Union + import gymnasium as gym -from gymnasium.spaces import Box, Discrete, MultiDiscrete import numpy as np import tree # pip install dm_tree -from typing import Any, Dict, Optional, Union +from gymnasium.spaces import Box, Discrete, MultiDiscrete +from ray._common.deprecation import deprecation_warning from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.tf.layers import ( GRUGate, RelativeMultiHeadAttention, SkipConnection, ) -from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.models.tf.recurrent_net import RecurrentNetwork +from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.policy.sample_batch import SampleBatch from ray.rllib.policy.view_requirement import ViewRequirement from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.tf_utils import flatten_inputs_to_1d_tensor, one_hot -from ray.rllib.utils.typing import ModelConfigDict, TensorType, List -from ray._common.deprecation import deprecation_warning +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/complex_input_net.py b/rllib/models/tf/complex_input_net.py index d8c41be4067a..04248ee97edd 100644 --- a/rllib/models/tf/complex_input_net.py +++ b/rllib/models/tf/complex_input_net.py @@ -1,6 +1,6 @@ -from gymnasium.spaces import Box, Discrete, MultiDiscrete import numpy as np import tree # pip install dm_tree +from gymnasium.spaces import Box, Discrete, MultiDiscrete from ray.rllib.models.catalog import ModelCatalog from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions diff --git a/rllib/models/tf/fcnet.py b/rllib/models/tf/fcnet.py index 56a09de0361a..4ebf1443a5b3 100644 --- a/rllib/models/tf/fcnet.py +++ b/rllib/models/tf/fcnet.py @@ -1,13 +1,14 @@ -import numpy as np -import gymnasium as gym from typing import Dict +import gymnasium as gym +import numpy as np + from ray.rllib.models.tf.misc import normc_initializer from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.models.utils import get_activation_fn from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.typing import TensorType, List, ModelConfigDict +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/__init__.py b/rllib/models/tf/layers/__init__.py index 6b840c42b17e..de4512861089 100644 --- a/rllib/models/tf/layers/__init__.py +++ b/rllib/models/tf/layers/__init__.py @@ -1,11 +1,11 @@ from ray.rllib.models.tf.layers.gru_gate import GRUGate +from ray.rllib.models.tf.layers.multi_head_attention import MultiHeadAttention from ray.rllib.models.tf.layers.noisy_layer import NoisyLayer from ray.rllib.models.tf.layers.relative_multi_head_attention import ( PositionalEmbedding, RelativeMultiHeadAttention, ) from ray.rllib.models.tf.layers.skip_connection import SkipConnection -from ray.rllib.models.tf.layers.multi_head_attention import MultiHeadAttention __all__ = [ "GRUGate", diff --git a/rllib/models/tf/layers/gru_gate.py b/rllib/models/tf/layers/gru_gate.py index 4a3fc0ad5303..59b9aa487d57 100644 --- a/rllib/models/tf/layers/gru_gate.py +++ b/rllib/models/tf/layers/gru_gate.py @@ -1,6 +1,6 @@ -from ray.rllib.utils.framework import try_import_tf -from ray.rllib.utils.typing import TensorType, TensorShape from ray._common.deprecation import deprecation_warning +from ray.rllib.utils.framework import try_import_tf +from ray.rllib.utils.typing import TensorShape, TensorType from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/multi_head_attention.py b/rllib/models/tf/layers/multi_head_attention.py index d1372c59903e..4d3a4515b288 100644 --- a/rllib/models/tf/layers/multi_head_attention.py +++ b/rllib/models/tf/layers/multi_head_attention.py @@ -3,9 +3,9 @@ Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017. https://arxiv.org/pdf/1706.03762.pdf """ +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/noisy_layer.py b/rllib/models/tf/layers/noisy_layer.py index b1ade2acf1fc..86bd38814fb9 100644 --- a/rllib/models/tf/layers/noisy_layer.py +++ b/rllib/models/tf/layers/noisy_layer.py @@ -1,13 +1,13 @@ import numpy as np +from ray._common.deprecation import deprecation_warning from ray.rllib.models.utils import get_activation_fn from ray.rllib.utils.framework import ( + TensorShape, + TensorType, get_variable, try_import_tf, - TensorType, - TensorShape, ) -from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/relative_multi_head_attention.py b/rllib/models/tf/layers/relative_multi_head_attention.py index d0dfd3a20e40..700dfa3cbade 100644 --- a/rllib/models/tf/layers/relative_multi_head_attention.py +++ b/rllib/models/tf/layers/relative_multi_head_attention.py @@ -1,8 +1,8 @@ from typing import Optional +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/layers/skip_connection.py b/rllib/models/tf/layers/skip_connection.py index 1ae2525e997b..1dcadd3fc5eb 100644 --- a/rllib/models/tf/layers/skip_connection.py +++ b/rllib/models/tf/layers/skip_connection.py @@ -1,8 +1,8 @@ -from typing import Optional, Any +from typing import Any, Optional +from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import TensorType -from ray._common.deprecation import deprecation_warning from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/misc.py b/rllib/models/tf/misc.py index 7ea75e423c2d..4fa92e498945 100644 --- a/rllib/models/tf/misc.py +++ b/rllib/models/tf/misc.py @@ -1,5 +1,6 @@ +from typing import Any, Optional, Tuple + import numpy as np -from typing import Tuple, Any, Optional from ray.rllib.utils.annotations import DeveloperAPI from ray.rllib.utils.framework import try_import_tf diff --git a/rllib/models/tf/recurrent_net.py b/rllib/models/tf/recurrent_net.py index cd4d721a2967..e3fd87eba112 100644 --- a/rllib/models/tf/recurrent_net.py +++ b/rllib/models/tf/recurrent_net.py @@ -1,10 +1,12 @@ -import numpy as np -import gymnasium as gym -from gymnasium.spaces import Discrete, MultiDiscrete import logging -import tree # pip install dm_tree from typing import Dict, List, Tuple +import gymnasium as gym +import numpy as np +import tree # pip install dm_tree +from gymnasium.spaces import Discrete, MultiDiscrete + +from ray._common.deprecation import deprecation_warning from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.policy.rnn_sequencing import add_time_dimension @@ -15,7 +17,6 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.tf_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType -from ray._common.deprecation import deprecation_warning from ray.util.debug import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/tf_action_dist.py b/rllib/models/tf/tf_action_dist.py index 683d1939776d..b028c1c6430c 100644 --- a/rllib/models/tf/tf_action_dist.py +++ b/rllib/models/tf/tf_action_dist.py @@ -1,17 +1,18 @@ import functools -import gymnasium as gym from math import log +from typing import Optional + +import gymnasium as gym import numpy as np import tree # pip install dm_tree -from typing import Optional from ray.rllib.models.action_dist import ActionDistribution from ray.rllib.models.modelv2 import ModelV2 -from ray.rllib.utils import MIN_LOG_NN_OUTPUT, MAX_LOG_NN_OUTPUT, SMALL_NUMBER +from ray.rllib.utils import MAX_LOG_NN_OUTPUT, MIN_LOG_NN_OUTPUT, SMALL_NUMBER from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_tf, try_import_tfp from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space -from ray.rllib.utils.typing import TensorType, List, Union, Tuple, ModelConfigDict +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType, Tuple, Union tf1, tf, tfv = try_import_tf() tfp = try_import_tfp() diff --git a/rllib/models/tf/tf_modelv2.py b/rllib/models/tf/tf_modelv2.py index f1ad20c3b65e..3cd813577245 100644 --- a/rllib/models/tf/tf_modelv2.py +++ b/rllib/models/tf/tf_modelv2.py @@ -1,14 +1,15 @@ import contextlib -import gymnasium as gym import re from typing import Dict, List, Union -from ray.util import log_once +import gymnasium as gym + +from ray._common.deprecation import deprecation_warning from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.utils.annotations import OldAPIStack, override -from ray._common.deprecation import deprecation_warning from ray.rllib.utils.framework import try_import_tf from ray.rllib.utils.typing import ModelConfigDict, TensorType +from ray.util import log_once tf1, tf, tfv = try_import_tf() diff --git a/rllib/models/tf/visionnet.py b/rllib/models/tf/visionnet.py index 69124c9e2e61..15b137a79bc5 100644 --- a/rllib/models/tf/visionnet.py +++ b/rllib/models/tf/visionnet.py @@ -1,8 +1,9 @@ -import gymnasium as gym from typing import Dict, List -from ray.rllib.models.tf.tf_modelv2 import TFModelV2 +import gymnasium as gym + from ray.rllib.models.tf.misc import normc_initializer +from ray.rllib.models.tf.tf_modelv2 import TFModelV2 from ray.rllib.models.utils import get_activation_fn, get_filter_config from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.framework import try_import_tf diff --git a/rllib/models/torch/attention_net.py b/rllib/models/torch/attention_net.py index d2624da0a5a2..5954c926350c 100644 --- a/rllib/models/torch/attention_net.py +++ b/rllib/models/torch/attention_net.py @@ -8,12 +8,14 @@ Z. Dai, Z. Yang, et al. - Carnegie Mellon U - 2019. https://www.aclweb.org/anthology/P19-1285.pdf """ +from typing import Dict, Optional, Union + import gymnasium as gym -from gymnasium.spaces import Box, Discrete, MultiDiscrete import numpy as np import tree # pip install dm_tree -from typing import Dict, Optional, Union +from gymnasium.spaces import Box, Discrete, MultiDiscrete +from ray._common.deprecation import deprecation_warning from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.torch.misc import SlimFC from ray.rllib.models.torch.modules import ( @@ -29,8 +31,7 @@ from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.torch_utils import flatten_inputs_to_1d_tensor, one_hot -from ray.rllib.utils.typing import ModelConfigDict, TensorType, List -from ray._common.deprecation import deprecation_warning +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType from ray.util import log_once torch, nn = try_import_torch() diff --git a/rllib/models/torch/complex_input_net.py b/rllib/models/torch/complex_input_net.py index c5c81dba790c..0cf51f3e1862 100644 --- a/rllib/models/torch/complex_input_net.py +++ b/rllib/models/torch/complex_input_net.py @@ -1,13 +1,13 @@ -from gymnasium.spaces import Box, Discrete, MultiDiscrete import numpy as np import tree # pip install dm_tree +from gymnasium.spaces import Box, Discrete, MultiDiscrete +from ray.rllib.models.catalog import ModelCatalog +from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions from ray.rllib.models.torch.misc import ( - normc_initializer as torch_normc_initializer, SlimFC, + normc_initializer as torch_normc_initializer, ) -from ray.rllib.models.catalog import ModelCatalog -from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 from ray.rllib.models.utils import get_filter_config from ray.rllib.policy.sample_batch import SampleBatch diff --git a/rllib/models/torch/fcnet.py b/rllib/models/torch/fcnet.py index 2ba907a54ed0..e4e111a9b956 100644 --- a/rllib/models/torch/fcnet.py +++ b/rllib/models/torch/fcnet.py @@ -1,12 +1,13 @@ import logging -import numpy as np + import gymnasium as gym +import numpy as np +from ray.rllib.models.torch.misc import AppendBiasLayer, SlimFC, normc_initializer from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 -from ray.rllib.models.torch.misc import SlimFC, AppendBiasLayer, normc_initializer from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_torch -from ray.rllib.utils.typing import Dict, TensorType, List, ModelConfigDict +from ray.rllib.utils.typing import Dict, List, ModelConfigDict, TensorType torch, nn = try_import_torch() diff --git a/rllib/models/torch/mingpt.py b/rllib/models/torch/mingpt.py index f64ea12419b8..303bcc160daa 100644 --- a/rllib/models/torch/mingpt.py +++ b/rllib/models/torch/mingpt.py @@ -19,8 +19,8 @@ import torch.nn as nn from torch.nn import functional as F -from ray.rllib.utils.annotations import DeveloperAPI from ray._common.deprecation import Deprecated +from ray.rllib.utils.annotations import DeveloperAPI @DeveloperAPI diff --git a/rllib/models/torch/misc.py b/rllib/models/torch/misc.py index 5850eba0a3df..d9c5e91be2da 100644 --- a/rllib/models/torch/misc.py +++ b/rllib/models/torch/misc.py @@ -1,6 +1,7 @@ """ Code adapted from https://github.com/ikostrikov/pytorch-a3c""" +from typing import Any, List, Tuple, Union + import numpy as np -from typing import Union, Tuple, Any, List from ray.rllib.models.utils import get_activation_fn from ray.rllib.utils.annotations import DeveloperAPI diff --git a/rllib/models/torch/modules/multi_head_attention.py b/rllib/models/torch/modules/multi_head_attention.py index cf4dfb50b264..a613decbe62f 100644 --- a/rllib/models/torch/modules/multi_head_attention.py +++ b/rllib/models/torch/modules/multi_head_attention.py @@ -3,11 +3,10 @@ Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017. https://arxiv.org/pdf/1706.03762.pdf """ -from ray.rllib.utils.framework import try_import_torch from ray.rllib.models.torch.misc import SlimFC from ray.rllib.utils.annotations import OldAPIStack +from ray.rllib.utils.framework import TensorType, try_import_torch from ray.rllib.utils.torch_utils import sequence_mask -from ray.rllib.utils.framework import TensorType torch, nn = try_import_torch() diff --git a/rllib/models/torch/modules/noisy_layer.py b/rllib/models/torch/modules/noisy_layer.py index 8a9fe999cf79..ae542cf939a0 100644 --- a/rllib/models/torch/modules/noisy_layer.py +++ b/rllib/models/torch/modules/noisy_layer.py @@ -1,7 +1,7 @@ import numpy as np from ray.rllib.models.utils import get_activation_fn -from ray.rllib.utils.framework import try_import_torch, TensorType +from ray.rllib.utils.framework import TensorType, try_import_torch torch, nn = try_import_torch() diff --git a/rllib/models/torch/modules/skip_connection.py b/rllib/models/torch/modules/skip_connection.py index 444c16806861..9be3b36f04ce 100644 --- a/rllib/models/torch/modules/skip_connection.py +++ b/rllib/models/torch/modules/skip_connection.py @@ -1,7 +1,8 @@ +from typing import Optional + from ray.rllib.utils.annotations import OldAPIStack from ray.rllib.utils.framework import try_import_torch from ray.rllib.utils.typing import TensorType -from typing import Optional torch, nn = try_import_torch() diff --git a/rllib/models/torch/recurrent_net.py b/rllib/models/torch/recurrent_net.py index d4afc688ea8e..2f4e31bfd25d 100644 --- a/rllib/models/torch/recurrent_net.py +++ b/rllib/models/torch/recurrent_net.py @@ -1,9 +1,11 @@ -import numpy as np +from typing import Dict, List, Tuple, Union + import gymnasium as gym -from gymnasium.spaces import Discrete, MultiDiscrete +import numpy as np import tree # pip install dm_tree -from typing import Dict, List, Union, Tuple +from gymnasium.spaces import Discrete, MultiDiscrete +from ray._common.deprecation import deprecation_warning from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.torch.misc import SlimFC from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 @@ -15,7 +17,6 @@ from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space from ray.rllib.utils.torch_utils import flatten_inputs_to_1d_tensor, one_hot from ray.rllib.utils.typing import ModelConfigDict, TensorType -from ray._common.deprecation import deprecation_warning from ray.util.debug import log_once torch, nn = try_import_torch() diff --git a/rllib/models/torch/torch_action_dist.py b/rllib/models/torch/torch_action_dist.py index 91c69180070e..6957de07258a 100644 --- a/rllib/models/torch/torch_action_dist.py +++ b/rllib/models/torch/torch_action_dist.py @@ -1,17 +1,18 @@ import functools -import gymnasium as gym from math import log +from typing import Optional + +import gymnasium as gym import numpy as np import tree # pip install dm_tree -from typing import Optional from ray.rllib.models.action_dist import ActionDistribution from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_torch -from ray.rllib.utils.numpy import SMALL_NUMBER, MIN_LOG_NN_OUTPUT, MAX_LOG_NN_OUTPUT +from ray.rllib.utils.numpy import MAX_LOG_NN_OUTPUT, MIN_LOG_NN_OUTPUT, SMALL_NUMBER from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space -from ray.rllib.utils.typing import TensorType, List, Union, Tuple, ModelConfigDict +from ray.rllib.utils.typing import List, ModelConfigDict, TensorType, Tuple, Union torch, nn = try_import_torch() diff --git a/rllib/models/torch/torch_distributions.py b/rllib/models/torch/torch_distributions.py index d9f77b975f4a..e08a60b4fde2 100644 --- a/rllib/models/torch/torch_distributions.py +++ b/rllib/models/torch/torch_distributions.py @@ -1,12 +1,12 @@ from ray._common.deprecation import deprecation_warning from ray.rllib.core.distribution.torch.torch_distribution import ( # noqa - TorchDistribution, TorchCategorical, - TorchDiagGaussian, - TorchSquashedGaussian, TorchDeterministic, + TorchDiagGaussian, + TorchDistribution, TorchMultiCategorical, TorchMultiDistribution, + TorchSquashedGaussian, ) deprecation_warning( diff --git a/rllib/models/torch/torch_modelv2.py b/rllib/models/torch/torch_modelv2.py index dd473c70de3e..003369ad4b49 100644 --- a/rllib/models/torch/torch_modelv2.py +++ b/rllib/models/torch/torch_modelv2.py @@ -1,6 +1,7 @@ -import gymnasium as gym from typing import Dict, List, Union +import gymnasium as gym + from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_torch diff --git a/rllib/models/torch/visionnet.py b/rllib/models/torch/visionnet.py index 748ba5796e3b..43f98efb7967 100644 --- a/rllib/models/torch/visionnet.py +++ b/rllib/models/torch/visionnet.py @@ -1,14 +1,15 @@ -import numpy as np from typing import Dict, List + import gymnasium as gym +import numpy as np -from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 from ray.rllib.models.torch.misc import ( - normc_initializer, - same_padding, SlimConv2d, SlimFC, + normc_initializer, + same_padding, ) +from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 from ray.rllib.models.utils import get_activation_fn, get_filter_config from ray.rllib.utils.annotations import OldAPIStack, override from ray.rllib.utils.framework import try_import_torch From f84f2394a83c9c116c969c8efb5210af75a034bd Mon Sep 17 00:00:00 2001 From: Joshua Lee <73967497+Sparks0219@users.noreply.github.com> Date: Wed, 1 Oct 2025 06:25:11 -0700 Subject: [PATCH 1486/1566] [core] Modify test expectations for test_actor_failures.py::test_exit_actor_queued (#57083) Seems like test_actor_failures.py::test_exit_actor_queued need's to have it's test expectation adjusted after #56159 since pending actor tasks are explicilty cancelled with a TaskCancelledError now. RayActorError can still pop up for the ongoing task that was cancelled so need to account for both. Signed-off-by: joshlee Signed-off-by: Douglas Strodtman --- python/ray/tests/test_actor_failures.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/python/ray/tests/test_actor_failures.py b/python/ray/tests/test_actor_failures.py index ed5b2b8a8db4..9af33567d642 100644 --- a/python/ray/tests/test_actor_failures.py +++ b/python/ray/tests/test_actor_failures.py @@ -1183,14 +1183,18 @@ def ping(self): a = RegressionAsync.remote() a.f.remote() refs = [a.ping.remote() for _ in range(10000)] - with pytest.raises(ray.exceptions.RayActorError) as exc_info: + with pytest.raises( + (ray.exceptions.RayActorError, ray.exceptions.TaskCancelledError) + ) as exc_info: ray.get(refs) assert " Worker unexpectedly exits" not in str(exc_info.value) # Test a sync case. a = RegressionSync.remote() a.f.remote() - with pytest.raises(ray.exceptions.RayActorError) as exc_info: + with pytest.raises( + (ray.exceptions.RayActorError, ray.exceptions.TaskCancelledError) + ) as exc_info: ray.get([a.ping.remote() for _ in range(10000)]) assert " Worker unexpectedly exits" not in str(exc_info.value) From 623699628f1cd0c0f9b2a86421e4b5d1ec97598d Mon Sep 17 00:00:00 2001 From: Lonnie Liu <95255098+aslonnie@users.noreply.github.com> Date: Wed, 1 Oct 2025 06:45:18 -0700 Subject: [PATCH 1487/1566] [wheel] stop building and releasing x86 osx wheels (#57077) osx will be apple silicon only moving forward Signed-off-by: Lonnie Liu Signed-off-by: Douglas Strodtman --- .buildkite/macos/macos.rayci.yml | 13 ------ ci/ray_ci/automation/ray_wheels_lib.py | 1 - ci/ray_ci/automation/test_ray_wheels_lib.py | 6 +-- doc/source/ray-overview/installation.rst | 44 +++++++++------------ 4 files changed, 20 insertions(+), 44 deletions(-) diff --git a/.buildkite/macos/macos.rayci.yml b/.buildkite/macos/macos.rayci.yml index ec7a2a893d4c..d548bf3c3561 100644 --- a/.buildkite/macos/macos.rayci.yml +++ b/.buildkite/macos/macos.rayci.yml @@ -5,19 +5,6 @@ steps: - block: "run macos tests" if: build.env("BUILDKITE_PIPELINE_ID") == "0189942e-0876-4b8f-80a4-617f988ec59b" || build.env("BUILDKITE_PIPELINE_ID") == "018f4f1e-1b73-4906-9802-92422e3badaa" - # build - - label: ":tapioca: build: :mac: wheels and jars (x86_64)" - key: macos_wheels_amd64 - if: build.env("BUILDKITE_PIPELINE_ID") != "0189e759-8c96-4302-b6b5-b4274406bf89" - tags: - - macos_wheels - - python_dependencies - - release_wheels - job_env: MACOS - instance_type: macos - commands: - - bash ci/ray_ci/macos/macos_ci_build.sh - - label: ":tapioca: build: :mac: wheels and jars (aarch64)" key: macos_wheels_arm64 if: build.env("BUILDKITE_PIPELINE_ID") != "0189e759-8c96-4302-b6b5-b4274406bf89" diff --git a/ci/ray_ci/automation/ray_wheels_lib.py b/ci/ray_ci/automation/ray_wheels_lib.py index aa46ac4f7769..7ed17ebedbbd 100644 --- a/ci/ray_ci/automation/ray_wheels_lib.py +++ b/ci/ray_ci/automation/ray_wheels_lib.py @@ -17,7 +17,6 @@ ALL_PLATFORMS = [ "manylinux2014_x86_64", "manylinux2014_aarch64", - "macosx_12_0_x86_64", "macosx_12_0_arm64", "win_amd64", ] diff --git a/ci/ray_ci/automation/test_ray_wheels_lib.py b/ci/ray_ci/automation/test_ray_wheels_lib.py index 0b8d46bcdf8d..0f3f9e56a1f6 100644 --- a/ci/ray_ci/automation/test_ray_wheels_lib.py +++ b/ci/ray_ci/automation/test_ray_wheels_lib.py @@ -21,14 +21,13 @@ SAMPLE_WHEELS = [ "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", - "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] def test_get_wheel_names(): - ray_version = "1.11.0" + ray_version = "2.50.0" wheel_names = _get_wheel_names(ray_version) assert ( @@ -58,7 +57,6 @@ def test_check_downloaded_wheels(): wheels = [ "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", - "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] @@ -75,7 +73,6 @@ def test_check_downloaded_wheels_fail(): wheels = [ "ray-1.0.0-cp39-cp39-manylinux2014_x86_64", "ray-1.0.0-cp39-cp39-manylinux2014_aarch64", - "ray-1.0.0-cp39-cp39-macosx_12_0_x86_64", "ray-1.0.0-cp39-cp39-macosx_12_0_arm64", "ray-1.0.0-cp39-cp39-win_amd64", ] @@ -94,7 +91,6 @@ def test_download_wheel_from_s3(mock_boto3_client): keys = [ "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-manylinux2014_x86_64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-manylinux2014_aarch64.whl", - "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-macosx_12_0_x86_64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-macosx_12_0_arm64.whl", "releases/1.0.0/1234567/ray-1.0.0-cp39-cp39-win_amd64.whl", ] diff --git a/doc/source/ray-overview/installation.rst b/doc/source/ray-overview/installation.rst index 8bfe8f62ff91..f72dac594bb0 100644 --- a/doc/source/ray-overview/installation.rst +++ b/doc/source/ray-overview/installation.rst @@ -107,20 +107,20 @@ You can install the nightly Ray wheels via the following links. These daily rele `Linux Python 3.10 (x86_64)`_ `Linux Python 3.10 (aarch64)`_ `Linux Python 3.11 (x86_64)`_ `Linux Python 3.11 (aarch64)`_ `Linux Python 3.12 (x86_64)`_ `Linux Python 3.12 (aarch64)`_ - `Linux Python 3.13 (x86_64)`_ (beta) `Linux Python 3.13 (aarch64)`_ (beta) + `Linux Python 3.13 (x86_64)`_ (beta) `Linux Python 3.13 (aarch64)`_ (beta) =============================================== ================================================ .. tab-item:: MacOS - ============================================ ============================================== - MacOS (x86_64) MacOS (arm64) - ============================================ ============================================== - `MacOS Python 3.9 (x86_64)`_ `MacOS Python 3.9 (arm64)`_ - `MacOS Python 3.10 (x86_64)`_ `MacOS Python 3.10 (arm64)`_ - `MacOS Python 3.11 (x86_64)`_ `MacOS Python 3.11 (arm64)`_ - `MacOS Python 3.12 (x86_64)`_ `MacOS Python 3.12 (arm64)`_ - `MacOS Python 3.13 (x86_64)`_ (beta) `MacOS Python 3.13 (arm64)`_ (beta) - ============================================ ============================================== + .. list-table:: + :header-rows: 1 + + * - MacOS (arm64) + * - `MacOS Python 3.9 (arm64)`_ + * - `MacOS Python 3.10 (arm64)`_ + * - `MacOS Python 3.11 (arm64)`_ + * - `MacOS Python 3.12 (arm64)`_ + * - `MacOS Python 3.13 (arm64)`_ (beta) .. tab-item:: Windows (beta) @@ -128,10 +128,10 @@ You can install the nightly Ray wheels via the following links. These daily rele :header-rows: 1 * - Windows (beta) - * - `Windows Python 3.9`_ - * - `Windows Python 3.10`_ - * - `Windows Python 3.11`_ - * - `Windows Python 3.12`_ + * - `Windows Python 3.9 (amd64)`_ + * - `Windows Python 3.10 (amd64)`_ + * - `Windows Python 3.11 (amd64)`_ + * - `Windows Python 3.12 (amd64)`_ .. note:: @@ -157,12 +157,6 @@ You can install the nightly Ray wheels via the following links. These daily rele .. _`Linux Python 3.13 (aarch64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_aarch64.whl -.. _`MacOS Python 3.9 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-macosx_12_0_x86_64.whl -.. _`MacOS Python 3.10 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-macosx_12_0_x86_64.whl -.. _`MacOS Python 3.11 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-macosx_12_0_x86_64.whl -.. _`MacOS Python 3.12 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-macosx_12_0_x86_64.whl -.. _`MacOS Python 3.13 (x86_64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-macosx_12_0_x86_64.whl - .. _`MacOS Python 3.9 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-macosx_12_0_arm64.whl .. _`MacOS Python 3.10 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-macosx_12_0_arm64.whl .. _`MacOS Python 3.11 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-macosx_12_0_arm64.whl @@ -170,10 +164,10 @@ You can install the nightly Ray wheels via the following links. These daily rele .. _`MacOS Python 3.13 (arm64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-macosx_12_0_arm64.whl -.. _`Windows Python 3.9`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-win_amd64.whl -.. _`Windows Python 3.10`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-win_amd64.whl -.. _`Windows Python 3.11`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-win_amd64.whl -.. _`Windows Python 3.12`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-win_amd64.whl +.. _`Windows Python 3.9 (amd64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-win_amd64.whl +.. _`Windows Python 3.10 (amd64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-win_amd64.whl +.. _`Windows Python 3.11 (amd64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-win_amd64.whl +.. _`Windows Python 3.12 (amd64)`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-win_amd64.whl Installing from a specific commit --------------------------------- @@ -188,7 +182,7 @@ For example, here are the Ray 3.0.0.dev0 wheels for Python 3.9, MacOS for commit .. code-block:: bash - pip install https://s3-us-west-2.amazonaws.com/ray-wheels/master/4f2ec46c3adb6ba9f412f09a9732f436c4a5d0c9/ray-3.0.0.dev0-cp39-cp39-macosx_12_0_x86_64.whl + pip install https://s3-us-west-2.amazonaws.com/ray-wheels/master/4f2ec46c3adb6ba9f412f09a9732f436c4a5d0c9/ray-3.0.0.dev0-cp39-cp39-macosx_12_0_arm64.whl There are minor variations to the format of the wheel filename; it's best to match against the format in the URLs listed in the :ref:`Nightlies section `. Here's a summary of the variations: From 14582ab0e5d0e3181316754d8b593b2a8582ed19 Mon Sep 17 00:00:00 2001 From: Ibrahim Rabbani Date: Wed, 1 Oct 2025 08:22:06 -0700 Subject: [PATCH 1488/1566] [core] Renamed legacy NotifyDirectCallTask* methods. (#57051) I renamed `NotifyDirectCallTask{Blocked|Unblocked}` to `NotifyWorker{Blocked|Unblocked}` to make the code make more sense. There are no functional changes in this PR. --------- Signed-off-by: irabbani Signed-off-by: Douglas Strodtman --- .../core_worker_shutdown_executor.cc | 2 +- .../memory_store/memory_store.cc | 4 +- .../store_provider/plasma_store_provider.cc | 4 +- src/ray/flatbuffers/node_manager.fbs | 15 +-- src/ray/raylet/node_manager.cc | 14 +-- src/ray/raylet/node_manager.h | 4 +- .../fake_raylet_ipc_client.h | 57 ++++++------ .../raylet_ipc_client/raylet_ipc_client.cc | 12 +-- src/ray/raylet_ipc_client/raylet_ipc_client.h | 80 ++++++++-------- .../raylet_ipc_client_interface.h | 91 ++++++++++--------- 10 files changed, 146 insertions(+), 137 deletions(-) diff --git a/src/ray/core_worker/core_worker_shutdown_executor.cc b/src/ray/core_worker/core_worker_shutdown_executor.cc index 41e2244a1f63..a47f5facc5a7 100644 --- a/src/ray/core_worker/core_worker_shutdown_executor.cc +++ b/src/ray/core_worker/core_worker_shutdown_executor.cc @@ -133,7 +133,7 @@ void CoreWorkerShutdownExecutor::ExecuteExit( core_worker_->task_receiver_->Stop(); // Release resources only after tasks have stopped executing. - auto status = core_worker_->raylet_ipc_client_->NotifyDirectCallTaskBlocked(); + auto status = core_worker_->raylet_ipc_client_->NotifyWorkerBlocked(); if (!status.ok()) { RAY_LOG(WARNING) << "Failed to notify Raylet. The raylet may have already shut down or " diff --git a/src/ray/core_worker/store_provider/memory_store/memory_store.cc b/src/ray/core_worker/store_provider/memory_store/memory_store.cc index 28abe17330f2..b8caa79f6f65 100644 --- a/src/ray/core_worker/store_provider/memory_store/memory_store.cc +++ b/src/ray/core_worker/store_provider/memory_store/memory_store.cc @@ -349,7 +349,7 @@ Status CoreWorkerMemoryStore::GetImpl(const std::vector &object_ids, (raylet_ipc_client_ != nullptr && ctx.ShouldReleaseResourcesOnBlockingCalls()); // Wait for remaining objects (or timeout). if (should_notify_raylet) { - RAY_CHECK_OK(raylet_ipc_client_->NotifyDirectCallTaskBlocked()); + RAY_CHECK_OK(raylet_ipc_client_->NotifyWorkerBlocked()); } bool done = false; @@ -380,7 +380,7 @@ Status CoreWorkerMemoryStore::GetImpl(const std::vector &object_ids, } if (should_notify_raylet) { - RAY_CHECK_OK(raylet_ipc_client_->NotifyDirectCallTaskUnblocked()); + RAY_CHECK_OK(raylet_ipc_client_->NotifyWorkerUnblocked()); } { diff --git a/src/ray/core_worker/store_provider/plasma_store_provider.cc b/src/ray/core_worker/store_provider/plasma_store_provider.cc index 47a1c5fe02d8..296c842ea3c0 100644 --- a/src/ray/core_worker/store_provider/plasma_store_provider.cc +++ b/src/ray/core_worker/store_provider/plasma_store_provider.cc @@ -261,7 +261,7 @@ Status UnblockIfNeeded( // NOTE: for direct call actors, we still need to issue an unblock IPC to release // get subscriptions, even if the worker isn't blocked. if (ctx.ShouldReleaseResourcesOnBlockingCalls() || ctx.CurrentActorIsDirectCall()) { - return raylet_client->NotifyDirectCallTaskUnblocked(); + return raylet_client->NotifyWorkerUnblocked(); } else { return Status::OK(); // We don't need to release resources. } @@ -403,7 +403,7 @@ Status CoreWorkerPlasmaStoreProvider::Wait( ready->insert(entry); } if (ctx.CurrentTaskIsDirectCall() && ctx.ShouldReleaseResourcesOnBlockingCalls()) { - RAY_RETURN_NOT_OK(raylet_ipc_client_->NotifyDirectCallTaskUnblocked()); + RAY_RETURN_NOT_OK(raylet_ipc_client_->NotifyWorkerUnblocked()); } return Status::OK(); } diff --git a/src/ray/flatbuffers/node_manager.fbs b/src/ray/flatbuffers/node_manager.fbs index c6399c0d2aa2..89bd93487ede 100644 --- a/src/ray/flatbuffers/node_manager.fbs +++ b/src/ray/flatbuffers/node_manager.fbs @@ -43,11 +43,12 @@ enum MessageType:int { AsyncGetObjectsRequest, // Cancel outstanding get requests from the worker. CancelGetRequest, - // Notify the current worker is blocked. This is only used by direct task calls; - // otherwise the block command is piggybacked on other messages. - NotifyDirectCallTaskBlocked, - // Notify the current worker is unblocked. This is only used by direct task calls. - NotifyDirectCallTaskUnblocked, + // Notify the current worker is blocked for objects to become available. The raylet + // will release the worker's resources. + NotifyWorkerBlocked, + // Notify the current worker is unblocked. The raylet will cancel any inflight + // pull requests for objects. + NotifyWorkerUnblocked, // Wait for objects to be ready either from local or remote Plasma stores. WaitRequest, // The response message to WaitRequest; replies with the objects found and objects @@ -138,10 +139,10 @@ table AsyncGetObjectsRequest { table CancelGetRequest { } -table NotifyDirectCallTaskBlocked { +table NotifyWorkerBlocked { } -table NotifyDirectCallTaskUnblocked { +table NotifyWorkerUnblocked { } table WaitRequest { diff --git a/src/ray/raylet/node_manager.cc b/src/ray/raylet/node_manager.cc index e2fea38e0b8d..95196f817ebe 100644 --- a/src/ray/raylet/node_manager.cc +++ b/src/ray/raylet/node_manager.cc @@ -1042,11 +1042,11 @@ void NodeManager::ProcessClientMessage(const std::shared_ptr & case protocol::MessageType::AsyncGetObjectsRequest: { HandleAsyncGetObjectsRequest(client, message_data); } break; - case protocol::MessageType::NotifyDirectCallTaskBlocked: { - HandleDirectCallTaskBlocked(registered_worker); + case protocol::MessageType::NotifyWorkerBlocked: { + HandleNotifyWorkerBlocked(registered_worker); } break; - case protocol::MessageType::NotifyDirectCallTaskUnblocked: { - HandleDirectCallTaskUnblocked(registered_worker); + case protocol::MessageType::NotifyWorkerUnblocked: { + HandleNotifyWorkerUnblocked(registered_worker); } break; case protocol::MessageType::CancelGetRequest: { CancelGetRequest(client); @@ -2018,7 +2018,7 @@ void NodeManager::HandleReturnWorkerLease(rpc::ReturnWorkerLeaseRequest request, if (worker->IsBlocked()) { // Handle the edge case where the worker was returned before we got the // unblock RPC by unblocking it immediately (unblock is idempotent). - HandleDirectCallTaskUnblocked(worker); + HandleNotifyWorkerUnblocked(worker); } local_lease_manager_.ReleaseWorkerResources(worker); // If the worker is exiting, don't add it to our pool. The worker will cleanup @@ -2184,7 +2184,7 @@ void NodeManager::MarkObjectsAsFailed( } } -void NodeManager::HandleDirectCallTaskBlocked( +void NodeManager::HandleNotifyWorkerBlocked( const std::shared_ptr &worker) { if (!worker || worker->IsBlocked() || worker->GetGrantedLeaseId().IsNil()) { return; // The worker may have died or is no longer processing the task. @@ -2194,7 +2194,7 @@ void NodeManager::HandleDirectCallTaskBlocked( cluster_lease_manager_.ScheduleAndGrantLeases(); } -void NodeManager::HandleDirectCallTaskUnblocked( +void NodeManager::HandleNotifyWorkerUnblocked( const std::shared_ptr &worker) { if (!worker || worker->GetGrantedLeaseId().IsNil()) { return; // The worker may have died or is no longer processing the task. diff --git a/src/ray/raylet/node_manager.h b/src/ray/raylet/node_manager.h index 6b564d442012..232fe56ca3e9 100644 --- a/src/ray/raylet/node_manager.h +++ b/src/ray/raylet/node_manager.h @@ -400,14 +400,14 @@ class NodeManager : public rpc::NodeManagerServiceHandler, /// arrive after the worker lease has been returned to the node manager. /// /// \param worker Shared ptr to the worker, or nullptr if lost. - void HandleDirectCallTaskBlocked(const std::shared_ptr &worker); + void HandleNotifyWorkerBlocked(const std::shared_ptr &worker); /// Handle a task that is unblocked. Note that this callback may /// arrive after the worker lease has been returned to the node manager. /// However, it is guaranteed to arrive after DirectCallTaskBlocked. /// /// \param worker Shared ptr to the worker, or nullptr if lost. - void HandleDirectCallTaskUnblocked(const std::shared_ptr &worker); + void HandleNotifyWorkerUnblocked(const std::shared_ptr &worker); /// Destroy a worker. /// We will disconnect the worker connection first and then kill the worker. diff --git a/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h b/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h index e9701b5a2db4..e5e0c80356f6 100644 --- a/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h +++ b/src/ray/raylet_ipc_client/fake_raylet_ipc_client.h @@ -25,23 +25,23 @@ namespace ipc { class FakeRayletIpcClient : public RayletIpcClientInterface { public: - ray::Status RegisterClient(const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const rpc::Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *node_id, - int *assigned_port) override { + Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *node_id, + int *assigned_port) override { return Status::OK(); } - ray::Status Disconnect(const rpc::WorkerExitType &exit_type, - const std::string &exit_detail, - const std::shared_ptr - &creation_task_exception_pb_bytes) override { + Status Disconnect(const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr + &creation_task_exception_pb_bytes) override { return Status::OK(); } @@ -51,14 +51,14 @@ class FakeRayletIpcClient : public RayletIpcClientInterface { return Status::OK(); } - ray::Status ActorCreationTaskDone() override { return Status::OK(); } + Status ActorCreationTaskDone() override { return Status::OK(); } - ray::Status AsyncGetObjects(const std::vector &object_ids, - const std::vector &owner_addresses) override { + Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) override { return Status::OK(); } - ray::StatusOr> Wait( + StatusOr> Wait( const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, @@ -66,26 +66,25 @@ class FakeRayletIpcClient : public RayletIpcClientInterface { return absl::flat_hash_set(); } - ray::Status CancelGetRequest() override { return Status::OK(); } + Status CancelGetRequest() override { return Status::OK(); } - ray::Status NotifyDirectCallTaskBlocked() override { return Status::OK(); } + Status NotifyWorkerBlocked() override { return Status::OK(); } - ray::Status NotifyDirectCallTaskUnblocked() override { return Status::OK(); } + Status NotifyWorkerUnblocked() override { return Status::OK(); } - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag) override { + Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) override { return Status::OK(); } - ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) override { + Status PushError(const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) override { return Status::OK(); } - ray::Status FreeObjects(const std::vector &object_ids, - bool local_only) override { + Status FreeObjects(const std::vector &object_ids, bool local_only) override { return Status::OK(); } diff --git a/src/ray/raylet_ipc_client/raylet_ipc_client.cc b/src/ray/raylet_ipc_client/raylet_ipc_client.cc index aeef59cf503e..8a124cfd8942 100644 --- a/src/ray/raylet_ipc_client/raylet_ipc_client.cc +++ b/src/ray/raylet_ipc_client/raylet_ipc_client.cc @@ -212,18 +212,18 @@ Status RayletIpcClient::CancelGetRequest() { return WriteMessage(MessageType::CancelGetRequest, &fbb); } -Status RayletIpcClient::NotifyDirectCallTaskBlocked() { +Status RayletIpcClient::NotifyWorkerBlocked() { flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateNotifyDirectCallTaskBlocked(fbb); + auto message = protocol::CreateNotifyWorkerBlocked(fbb); fbb.Finish(message); - return WriteMessage(MessageType::NotifyDirectCallTaskBlocked, &fbb); + return WriteMessage(MessageType::NotifyWorkerBlocked, &fbb); } -Status RayletIpcClient::NotifyDirectCallTaskUnblocked() { +Status RayletIpcClient::NotifyWorkerUnblocked() { flatbuffers::FlatBufferBuilder fbb; - auto message = protocol::CreateNotifyDirectCallTaskUnblocked(fbb); + auto message = protocol::CreateNotifyWorkerUnblocked(fbb); fbb.Finish(message); - return WriteMessage(MessageType::NotifyDirectCallTaskUnblocked, &fbb); + return WriteMessage(MessageType::NotifyWorkerUnblocked, &fbb); } StatusOr> RayletIpcClient::Wait( diff --git a/src/ray/raylet_ipc_client/raylet_ipc_client.h b/src/ray/raylet_ipc_client/raylet_ipc_client.h index 65186721cc9d..009b17803c9d 100644 --- a/src/ray/raylet_ipc_client/raylet_ipc_client.h +++ b/src/ray/raylet_ipc_client/raylet_ipc_client.h @@ -48,67 +48,75 @@ class RayletIpcClient : public RayletIpcClientInterface { int num_retries, int64_t timeout); - ray::Status RegisterClient(const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const rpc::Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *node_id, - int *assigned_port) override; - - ray::Status Disconnect(const rpc::WorkerExitType &exit_type, - const std::string &exit_detail, - const std::shared_ptr - &creation_task_exception_pb_bytes) override; + Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *node_id, + int *assigned_port) override; + + Status Disconnect(const rpc::WorkerExitType &exit_type, + const std::string &exit_detail, + const std::shared_ptr + &creation_task_exception_pb_bytes) override; Status AnnounceWorkerPortForWorker(int port) override; Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) override; - ray::Status ActorCreationTaskDone() override; + Status ActorCreationTaskDone() override; - ray::Status AsyncGetObjects(const std::vector &object_ids, - const std::vector &owner_addresses) override; + Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) override; - ray::StatusOr> Wait( + StatusOr> Wait( const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, int64_t timeout_milliseconds) override; - ray::Status CancelGetRequest() override; + Status CancelGetRequest() override; - ray::Status NotifyDirectCallTaskBlocked() override; + /// Notify the raylet that the worker is currently blocked waiting for an object + /// to be pulled. The raylet will release the resources used by this worker. + /// + /// \return Status::OK if no error occurs. + /// \return Status::IOError if any error occurs. + Status NotifyWorkerBlocked() override; - ray::Status NotifyDirectCallTaskUnblocked() override; + /// Notify the raylet that the worker is unblocked. The raylet will cancel inflight + /// pull requests for the worker. + /// + /// \return Status::OK if no error occurs. + /// \return Status::IOError if any error occurs. + Status NotifyWorkerUnblocked() override; - ray::Status WaitForActorCallArgs(const std::vector &references, - int64_t tag) override; + Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) override; - ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) override; + Status PushError(const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) override; - ray::Status FreeObjects(const std::vector &object_ids, - bool local_only) override; + Status FreeObjects(const std::vector &object_ids, bool local_only) override; void SubscribePlasmaReady(const ObjectID &object_id, const rpc::Address &owner_address) override; private: /// Send a request to raylet asynchronously. - ray::Status WriteMessage(MessageType type, - flatbuffers::FlatBufferBuilder *fbb = nullptr); + Status WriteMessage(MessageType type, flatbuffers::FlatBufferBuilder *fbb = nullptr); /// Send a request to raylet and synchronously wait for the response. - ray::Status AtomicRequestReply(MessageType request_type, - MessageType reply_type, - std::vector *reply_message, - flatbuffers::FlatBufferBuilder *fbb = nullptr); + Status AtomicRequestReply(MessageType request_type, + MessageType reply_type, + std::vector *reply_message, + flatbuffers::FlatBufferBuilder *fbb = nullptr); /// Protects read operations on the socket. std::mutex mutex_; diff --git a/src/ray/raylet_ipc_client/raylet_ipc_client_interface.h b/src/ray/raylet_ipc_client/raylet_ipc_client_interface.h index 4d92c5c5023a..9ee4c35d4b75 100644 --- a/src/ray/raylet_ipc_client/raylet_ipc_client_interface.h +++ b/src/ray/raylet_ipc_client/raylet_ipc_client_interface.h @@ -28,9 +28,9 @@ #include "ray/util/process.h" #include "src/ray/protobuf/common.pb.h" -using MessageType = ray::protocol::MessageType; - namespace ray { + +using MessageType = protocol::MessageType; namespace ipc { /// Interface for interacting with the local Raylet over a socket. @@ -56,16 +56,16 @@ class RayletIpcClientInterface { /// \param[out] node_id The node ID for the local Raylet. /// \param[out] assigned_port The assigned port for the worker to listen on. If zero, /// the worker should pick a port randomly. - virtual ray::Status RegisterClient(const WorkerID &worker_id, - rpc::WorkerType worker_type, - const JobID &job_id, - int runtime_env_hash, - const rpc::Language &language, - const std::string &ip_address, - const std::string &serialized_job_config, - const StartupToken &startup_token, - NodeID *node_id, - int *assigned_port) = 0; + virtual Status RegisterClient(const WorkerID &worker_id, + rpc::WorkerType worker_type, + const JobID &job_id, + int runtime_env_hash, + const rpc::Language &language, + const std::string &ip_address, + const std::string &serialized_job_config, + const StartupToken &startup_token, + NodeID *node_id, + int *assigned_port) = 0; /// Notify the raylet that this client is disconnecting gracefully. This /// is used by actors to exit gracefully so that the raylet doesn't @@ -75,8 +75,8 @@ class RayletIpcClientInterface { /// /// \param disconnect_type The reason why this worker process is disconnected. /// \param disconnect_detail The detailed reason for a given exit. - /// \return ray::Status. - virtual ray::Status Disconnect( + /// \return Status. + virtual Status Disconnect( const rpc::WorkerExitType &exit_type, const std::string &exit_detail, const std::shared_ptr &creation_task_exception_pb_bytes) = 0; @@ -84,20 +84,20 @@ class RayletIpcClientInterface { /// Tell the raylet which port this worker's gRPC server is listening on. /// /// \param port The port. - /// \return ray::Status. + /// \return Status. virtual Status AnnounceWorkerPortForWorker(int port) = 0; /// Tell the raylet this driver and its job is ready to run, with port and entrypoint. /// /// \param port The port. /// \param entrypoint The entrypoint of the driver's job. - /// \return ray::Status. + /// \return Status. virtual Status AnnounceWorkerPortForDriver(int port, const std::string &entrypoint) = 0; /// Tell the raylet that the client has finished executing a task. /// - /// \return ray::Status. - virtual ray::Status ActorCreationTaskDone() = 0; + /// \return Status. + virtual Status ActorCreationTaskDone() = 0; /// Ask the Raylet to pull a set of objects to the local node. /// @@ -105,10 +105,9 @@ class RayletIpcClientInterface { /// /// \param object_ids The IDs of the objects to pull. /// \param owner_addresses The owner addresses of the objects. - /// \return ray::Status. - virtual ray::Status AsyncGetObjects( - const std::vector &object_ids, - const std::vector &owner_addresses) = 0; + /// \return Status. + virtual Status AsyncGetObjects(const std::vector &object_ids, + const std::vector &owner_addresses) = 0; /// Wait for the given objects until timeout expires or num_return objects are /// found. @@ -119,9 +118,9 @@ class RayletIpcClientInterface { /// \param timeout_milliseconds Duration, in milliseconds, to wait before returning. /// \param result A pair with the first element containing the object ids that were /// found, and the second element the objects that were not found. - /// \return ray::StatusOr containing error status or the set of object ids that were + /// \return StatusOr containing error status or the set of object ids that were /// found. - virtual ray::StatusOr> Wait( + virtual StatusOr> Wait( const std::vector &object_ids, const std::vector &owner_addresses, int num_returns, @@ -129,20 +128,22 @@ class RayletIpcClientInterface { /// Tell the Raylet to cancel the get request from this worker. /// - /// \return ray::Status. - virtual ray::Status CancelGetRequest() = 0; + /// \return Status. + virtual Status CancelGetRequest() = 0; - /// Notify the raylet that this client is blocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Unblock calls is important. + /// Notify the raylet that the worker is currently blocked waiting for an object + /// to be pulled. The raylet will release the resources used by this worker. /// - /// \return ray::Status. - virtual ray::Status NotifyDirectCallTaskBlocked() = 0; + /// \return Status::OK if no error occurs. + /// \return Status::IOError if any error occurs. + virtual Status NotifyWorkerBlocked() = 0; - /// Notify the raylet that this client is unblocked. This is only used for direct task - /// calls. Note that ordering of this with respect to Block calls is important. + /// Notify the raylet that the worker is unblocked. The raylet will cancel inflight + /// pull requests for the worker. /// - /// \return ray::Status. - virtual ray::Status NotifyDirectCallTaskUnblocked() = 0; + /// \return Status::OK if no error occurs. + /// \return Status::IOError if any error occurs. + virtual Status NotifyWorkerUnblocked() = 0; /// Wait for the given objects asynchronously. /// @@ -150,9 +151,9 @@ class RayletIpcClientInterface { /// /// \param references The objects to wait for. /// \param tag Value that will be sent to the core worker via gRPC on completion. - /// \return ray::Status. - virtual ray::Status WaitForActorCallArgs( - const std::vector &references, int64_t tag) = 0; + /// \return Status. + virtual Status WaitForActorCallArgs(const std::vector &references, + int64_t tag) = 0; /// Push an error to the relevant driver. /// @@ -160,20 +161,20 @@ class RayletIpcClientInterface { /// \param type The type of the error. /// \param error_message The error message. /// \param timestamp The timestamp of the error. - /// \return ray::Status. - virtual ray::Status PushError(const ray::JobID &job_id, - const std::string &type, - const std::string &error_message, - double timestamp) = 0; + /// \return Status. + virtual Status PushError(const JobID &job_id, + const std::string &type, + const std::string &error_message, + double timestamp) = 0; /// Free a list of objects from object stores. /// /// \param object_ids A list of ObjectsIDs to be deleted. /// \param local_only Whether keep this request with local object store /// or send it to all the object stores. - /// \return ray::Status. - virtual ray::Status FreeObjects(const std::vector &object_ids, - bool local_only) = 0; + /// \return Status. + virtual Status FreeObjects(const std::vector &object_ids, + bool local_only) = 0; /// Subscribe this worker to a notification when the provided object is ready in the /// local object store. From 03b5f48289ce522ec57b5b15fb5fa14d8a3383fd Mon Sep 17 00:00:00 2001 From: Edward Oakes Date: Wed, 1 Oct 2025 11:20:33 -0500 Subject: [PATCH 1489/1566] [core] Remove unstable `tune_air_oom` test (#57089) This test has been marked "unstable" for a long time. AIR is dead and I don't think it's worth the cycles to reverse engineer this test to get it working... Signed-off-by: Edward Oakes Signed-off-by: Douglas Strodtman --- .../stress_tests_tune_air_oom_compute.yaml | 10 ------ release/air_tests/oom/tune_air_oom.sh | 34 ------------------- release/release_tests.yaml | 21 ------------ 3 files changed, 65 deletions(-) delete mode 100644 release/air_tests/oom/stress_tests_tune_air_oom_compute.yaml delete mode 100755 release/air_tests/oom/tune_air_oom.sh diff --git a/release/air_tests/oom/stress_tests_tune_air_oom_compute.yaml b/release/air_tests/oom/stress_tests_tune_air_oom_compute.yaml deleted file mode 100644 index 52564851afe3..000000000000 --- a/release/air_tests/oom/stress_tests_tune_air_oom_compute.yaml +++ /dev/null @@ -1,10 +0,0 @@ -cloud_id: {{env["ANYSCALE_CLOUD_ID"]}} -region: us-west-2 - -max_workers: 0 - -head_node_type: - name: head_node - instance_type: m5.2xlarge - -worker_node_types: [] diff --git a/release/air_tests/oom/tune_air_oom.sh b/release/air_tests/oom/tune_air_oom.sh deleted file mode 100755 index 1318c7b9f841..000000000000 --- a/release/air_tests/oom/tune_air_oom.sh +++ /dev/null @@ -1,34 +0,0 @@ -#!/bin/bash -# Trigger OOM in the Tune AIR workload and verify it passes. - -# Exit if any of the test commands fail. -set -x -e pipeline - -NUM_IMAGES_PER_FILE="2048" -NUM_FILES="16" -NUM_EPOCHS=1 -BATCH_SIZE=64 -SHUFFLE_BUFFER_SIZE=0 -DATA_DIR=/home/ray/data - -SHARD_URL_PREFIX=https://air-example-data.s3.us-west-2.amazonaws.com/air-benchmarks - -rm -rf $DATA_DIR -mkdir -p $DATA_DIR -time python air_benchmarks/mlperf-train/make_fake_dataset.py \ - --num-shards "$NUM_FILES" \ - --shard-url "$SHARD_URL_PREFIX/single-image-repeated-$NUM_IMAGES_PER_FILE-times" \ - --output-directory $DATA_DIR - -num_images_per_epoch=$((NUM_FILES * NUM_IMAGES_PER_FILE)) -time python air_benchmarks/mlperf-train/resnet50_ray_air.py \ - --num-images-per-input-file "$NUM_IMAGES_PER_FILE" \ - --num-epochs $NUM_EPOCHS \ - --batch-size $BATCH_SIZE \ - --shuffle-buffer-size $SHUFFLE_BUFFER_SIZE \ - --num-images-per-epoch $num_images_per_epoch \ - --train-sleep-time-ms 0 \ - --data-root $DATA_DIR \ - --use-ray-data \ - --trainer-resources-cpu 0 \ - --tune-trials 2 diff --git a/release/release_tests.yaml b/release/release_tests.yaml index e818c81ba9ef..eae53de6c82e 100644 --- a/release/release_tests.yaml +++ b/release/release_tests.yaml @@ -2782,27 +2782,6 @@ cluster_compute: stress_tests/stress_tests_single_node_oom_compute_gce.yaml -- name: tune_air_oom - group: core-daily-test - working_dir: air_tests - - stable: false - - frequency: nightly - team: core - - cluster: - byod: - runtime_env: - - RAY_memory_usage_threshold=0.7 - - RAY_task_oom_retries=-1 - cluster_compute: oom/stress_tests_tune_air_oom_compute.yaml - - run: - timeout: 3600 - script: bash oom/tune_air_oom.sh - - - name: dask_on_ray_1tb_sort group: core-daily-test working_dir: nightly_tests From a2a39139fef3679b6ab3fe0c31d11945085c1713 Mon Sep 17 00:00:00 2001 From: iamjustinhsu <140442892+iamjustinhsu@users.noreply.github.com> Date: Wed, 1 Oct 2025 10:16:11 -0700 Subject: [PATCH 1490/1566] [data] Abstractions for joins (#57022) ## Why are these changes needed? as titled, does some refractoring to override joins in the future ## Related issue number ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --- > [!NOTE] > Refactors join execution to split preprocessing/postprocessing, encapsulate helper logic as class methods, and standardize index column handling. > > - **Join execution refactor**: > - Introduce `_DatasetPreprocessingResult` for splitting tables into `supported_projection` and `unsupported_projection`. > - Add `_preprocess` and `_postprocess` flow in `finalize()` to handle supported-column joins and restore unsupported columns. > - Convert helper utilities to instance methods: `_split_unsupported_columns`, `_append_index_column`, `_add_back_unsupported_columns`, `_is_pa_join_not_supported`. > - Standardize index column naming via `_index_name(suffix)` and remove hardcoded names. > - Maintain join verb mapping and join semantics while reorganizing logic. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 74ae0a3f682b112342c428d29806c6947d74b8e1. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot). Signed-off-by: iamjustinhsu Signed-off-by: Douglas Strodtman --- .../_internal/execution/operators/join.py | 266 +++++++++++------- python/ray/data/tests/test_join.py | 21 -- 2 files changed, 164 insertions(+), 123 deletions(-) diff --git a/python/ray/data/_internal/execution/operators/join.py b/python/ray/data/_internal/execution/operators/join.py index 4a65f1dee4ad..2567c1f05e89 100644 --- a/python/ray/data/_internal/execution/operators/join.py +++ b/python/ray/data/_internal/execution/operators/join.py @@ -1,5 +1,6 @@ import logging import math +from dataclasses import dataclass from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Type from ray._private.arrow_utils import get_pyarrow_version @@ -22,6 +23,19 @@ if TYPE_CHECKING: import pyarrow as pa + +@dataclass(frozen=True) +class _DatasetPreprocessingResult: + """Result of join preprocessing containing split tables. + + Separates tables into supported (directly joinable) and unsupported + (requires indexing) column projections. + """ + + supported_projection: "pa.Table" + unsupported_projection: "pa.Table" + + _JOIN_TYPE_TO_ARROW_JOIN_VERB_MAP = { JoinType.INNER: "inner", JoinType.LEFT_OUTER: "left outer", @@ -110,6 +124,43 @@ def accept(self, input_seq_id: int, partition_id: int, partition_shard: Block): partition_builder.add_block(partition_shard) def finalize(self, partition_id: int) -> Block: + + left_on, right_on = list(self._left_key_col_names), list( + self._right_key_col_names + ) + + preprocess_result_l, preprocess_result_r = self._preprocess( + left_on, right_on, partition_id + ) + + # Perform the join on supported columns + arrow_join_type = _JOIN_TYPE_TO_ARROW_JOIN_VERB_MAP[self._join_type] + + # Perform the join on supported columns + supported = preprocess_result_l.supported_projection.join( + preprocess_result_r.supported_projection, + join_type=arrow_join_type, + keys=left_on, + right_keys=right_on, + left_suffix=self._left_columns_suffix, + right_suffix=self._right_columns_suffix, + ) + + # Add back unsupported columns (join type logic is in should_index_* variables) + supported = self._postprocess( + supported, + preprocess_result_l.unsupported_projection, + preprocess_result_r.unsupported_projection, + ) + + return supported + + def _preprocess( + self, + left_on: List[str], + right_on: List[str], + partition_id: int, + ) -> Tuple[_DatasetPreprocessingResult, _DatasetPreprocessingResult]: import pyarrow as pa left_seq_partition: pa.Table = self._get_partition_builder( @@ -119,15 +170,11 @@ def finalize(self, partition_id: int) -> Block: input_seq_id=1, partition_id=partition_id ).build() - left_on, right_on = list(self._left_key_col_names), list( - self._right_key_col_names - ) - - arrow_join_type = _JOIN_TYPE_TO_ARROW_JOIN_VERB_MAP[self._join_type] - # Get supported columns - supported_l, unsupported_l = _split_unsupported_columns(left_seq_partition) - supported_r, unsupported_r = _split_unsupported_columns(right_seq_partition) + supported_l, unsupported_l = self._split_unsupported_columns(left_seq_partition) + supported_r, unsupported_r = self._split_unsupported_columns( + right_seq_partition + ) # Handle joins on unsupported columns conflicting_columns: Set[str] = set(unsupported_l.column_names) & set(left_on) @@ -152,39 +199,55 @@ def finalize(self, partition_id: int) -> Block: # Add index columns for back-referencing if we have unsupported columns # TODO: what are the chances of a collision with the index column? - index_name_l = "__ray_data_index_level_left__" if should_index_l: - supported_l = _append_index_column(table=supported_l, col_name=index_name_l) - index_name_r = "__ray_data_index_level_right__" + supported_l = self._append_index_column( + table=supported_l, col_name=self._index_name("left") + ) if should_index_r: - supported_r = _append_index_column(table=supported_r, col_name=index_name_r) + supported_r = self._append_index_column( + table=supported_r, col_name=self._index_name("right") + ) - # Perform the join on supported columns - supported = supported_l.join( - supported_r, - join_type=arrow_join_type, - keys=left_on, - right_keys=right_on, - left_suffix=self._left_columns_suffix, - right_suffix=self._right_columns_suffix, + left = _DatasetPreprocessingResult( + supported_projection=supported_l, + unsupported_projection=unsupported_l, + ) + right = _DatasetPreprocessingResult( + supported_projection=supported_r, + unsupported_projection=unsupported_r, ) + return left, right + + def _postprocess( + self, + supported: "pa.Table", + unsupported_l: "pa.Table", + unsupported_r: "pa.Table", + ) -> "pa.Table": + # Index if we have unsupported columns + should_index_l = self._index_name("left") in supported.schema.names + should_index_r = self._index_name("right") in supported.schema.names + # Add back unsupported columns (join type logic is in should_index_* variables) if should_index_l: - supported = _add_back_unsupported_columns( + supported = self._add_back_unsupported_columns( joined_table=supported, unsupported_table=unsupported_l, - index_col_name=index_name_l, + index_col_name=self._index_name("left"), ) if should_index_r: - supported = _add_back_unsupported_columns( + supported = self._add_back_unsupported_columns( joined_table=supported, unsupported_table=unsupported_r, - index_col_name=index_name_r, + index_col_name=self._index_name("right"), ) return supported + def _index_name(self, suffix: str) -> str: + return f"__ray_data_index_level_{suffix}__" + def clear(self, partition_id: int): self._left_input_seq_partition_builders.pop(partition_id) self._right_input_seq_partition_builders.pop(partition_id) @@ -236,98 +299,97 @@ def _should_index_side( # Right side appears in result for all joins except left_semi/left_anti return self._join_type not in [JoinType.LEFT_SEMI, JoinType.LEFT_ANTI] + def _split_unsupported_columns( + self, table: "pa.Table" + ) -> Tuple["pa.Table", "pa.Table"]: + """ + Split a PyArrow table into two tables based on column joinability. -def _split_unsupported_columns(table: "pa.Table") -> Tuple["pa.Table", "pa.Table"]: - """ - Split a PyArrow table into two tables based on column joinability. - - Separates columns into supported types and unsupported types that cannot be - directly joined on but should be preserved in results. - - Args: - table: Input PyArrow table to split - - Returns: - Tuple of (supported_table, unsupported_table) where: - - supported_table contains columns with primitive/joinable types - - unsupported_table contains columns with complex/unjoinable types - """ - supported, unsupported = [], [] - for idx in range(len(table.columns)): - column: "pa.ChunkedArray" = table.column(idx) - - col_type = column.type - if _is_pa_extension_type(column.type): - col_type = column.type.storage_type - - if _is_pa_join_not_supported(col_type): - unsupported.append(idx) - else: - supported.append(idx) - - return (table.select(supported), table.select(unsupported)) + Separates columns into supported types and unsupported types that cannot be + directly joined on but should be preserved in results. + Args: + table: Input PyArrow table to split -def _add_back_unsupported_columns( - joined_table: "pa.Table", - unsupported_table: "pa.Table", - index_col_name: str, -) -> "pa.Table": - # Extract the index column array and drop the column from the joined table - i = joined_table.schema.get_field_index(index_col_name) - indices = joined_table.column(i) - joined_table = joined_table.remove_column(i) + Returns: + Tuple of (supported_table, unsupported_table) where: + - supported_table contains columns with primitive/joinable types + - unsupported_table contains columns with complex/unjoinable types + """ + supported, unsupported = [], [] + for idx in range(len(table.columns)): + column: "pa.ChunkedArray" = table.column(idx) - # Project the unsupported columns using the indices and combine with joined table - projected = ArrowBlockAccessor(unsupported_table).take(indices) - return ArrowBlockAccessor(joined_table).hstack(projected) + col_type = column.type + if _is_pa_extension_type(col_type) or self._is_pa_join_not_supported( + col_type + ): + unsupported.append(idx) + else: + supported.append(idx) -def _append_index_column(table: "pa.Table", col_name: str) -> "pa.Table": - import numpy as np - import pyarrow as pa + return (table.select(supported), table.select(unsupported)) - index_col = pa.array(np.arange(table.num_rows)) - return table.append_column(col_name, index_col) + def _add_back_unsupported_columns( + self, + joined_table: "pa.Table", + unsupported_table: "pa.Table", + index_col_name: str, + ) -> "pa.Table": + # Extract the index column array and drop the column from the joined table + i = joined_table.schema.get_field_index(index_col_name) + indices = joined_table.column(i) + joined_table = joined_table.remove_column(i) + + # Project the unsupported columns using the indices and combine with joined table + projected = ArrowBlockAccessor(unsupported_table).take(indices) + return ArrowBlockAccessor(joined_table).hstack(projected) + + def _append_index_column(self, table: "pa.Table", col_name: str) -> "pa.Table": + import numpy as np + import pyarrow as pa + index_col = pa.array(np.arange(table.num_rows)) + return table.append_column(col_name, index_col) -def _is_pa_join_not_supported(type: "pa.DataType") -> bool: - """ - The latest pyarrow versions do not support joins where the - tables contain the following types below (lists, - structs, maps, unions, extension types, etc.) + def _is_pa_join_not_supported(self, type: "pa.DataType") -> bool: + """ + The latest pyarrow versions do not support joins where the + tables contain the following types below (lists, + structs, maps, unions, extension types, etc.) - Args: - type: The input type of column. + Args: + type: The input type of column. - Returns: - True if the type cannot be present (non join-key) during joins. - False if the type can be present. - """ - import pyarrow as pa + Returns: + True if the type cannot be present (non join-key) during joins. + False if the type can be present. + """ + import pyarrow as pa - pyarrow_version = get_pyarrow_version() - is_v12 = pyarrow_version >= MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES - is_v16 = pyarrow_version >= MIN_PYARROW_VERSION_VIEW_TYPES - - return ( - pa.types.is_map(type) - or pa.types.is_union(type) - or pa.types.is_list(type) - or pa.types.is_struct(type) - or pa.types.is_null(type) - or pa.types.is_large_list(type) - or pa.types.is_fixed_size_list(type) - or (is_v12 and pa.types.is_run_end_encoded(type)) - or ( - is_v16 - and ( - pa.types.is_binary_view(type) - or pa.types.is_string_view(type) - or pa.types.is_list_view(type) + pyarrow_version = get_pyarrow_version() + is_v12 = pyarrow_version >= MIN_PYARROW_VERSION_RUN_END_ENCODED_TYPES + is_v16 = pyarrow_version >= MIN_PYARROW_VERSION_VIEW_TYPES + + return ( + pa.types.is_map(type) + or pa.types.is_union(type) + or pa.types.is_list(type) + or pa.types.is_struct(type) + or pa.types.is_null(type) + or pa.types.is_large_list(type) + or pa.types.is_fixed_size_list(type) + or (is_v12 and pa.types.is_run_end_encoded(type)) + or ( + is_v16 + and ( + pa.types.is_binary_view(type) + or pa.types.is_string_view(type) + or pa.types.is_list_view(type) + ) ) ) - ) class JoinOperator(HashShufflingOperatorBase): diff --git a/python/ray/data/tests/test_join.py b/python/ray/data/tests/test_join.py index e745ca340550..912514eeb3b4 100644 --- a/python/ray/data/tests/test_join.py +++ b/python/ray/data/tests/test_join.py @@ -490,27 +490,6 @@ def test_anti_join_multi_key( pd.testing.assert_frame_equal(expected_pd_sorted, joined_pd_sorted) -def test_join_on_unjoinable_keys_raises_error(ray_start_regular_shared_2_cpus): - """Test that joining ON unjoinable column types raises appropriate errors.""" - # Dataset with proper list column (unjoinable) - list_ds = ray.data.from_items( - [{"list_col": [[1, 2], [3, 4], [5, 6]], "data": [10, 20, 30]}] - ) - - # Simple joinable dataset - simple_ds = ray.data.from_items([{"id": [1, 2, 3], "value": ["a", "b", "c"]}]) - - # Test that joining ON list column raises ValueError - with pytest.raises(ValueError): - list_ds.join( - simple_ds, - join_type="inner", - on=("list_col",), - right_on=("id",), - num_partitions=1, - ).materialize() - - # Helper functions to reduce test code bloat def _assert_columns_match(result, expected_columns): """Assert that result has the expected column schema.""" From 3a3040997dfd101eb30de274e5a8891f8a50c7b1 Mon Sep 17 00:00:00 2001 From: gangsf Date: Wed, 1 Oct 2025 10:17:49 -0700 Subject: [PATCH 1491/1566] [AKS] Fix S3 access issue in AKS (#56358) Signed-off-by: Gang Zhao Co-authored-by: Gang Zhao Signed-off-by: Douglas Strodtman --- ...bject_detection_batch_inference_eval.ipynb | 24 +++++++++++---- .../object-detection/object_detection.py | 29 +++++++++++++++++-- 2 files changed, 45 insertions(+), 8 deletions(-) diff --git a/doc/source/ray-overview/examples/object-detection/2.object_detection_batch_inference_eval.ipynb b/doc/source/ray-overview/examples/object-detection/2.object_detection_batch_inference_eval.ipynb index 87094b6a70e9..f912f28a2873 100644 --- a/doc/source/ray-overview/examples/object-detection/2.object_detection_batch_inference_eval.ipynb +++ b/doc/source/ray-overview/examples/object-detection/2.object_detection_batch_inference_eval.ipynb @@ -38,7 +38,7 @@ "
    \n", " Anyscale-specific configuration\n", " \n", - "

    Note: This tutorial is optimized for the Anyscale platform. When running on open source Ray, additional configuration is required. For example, you’ll need to manually:

    \n", + "

    Note: This tutorial is optimized for the Anyscale platform. When running on open source Ray, additional configuration is required. For example, you'll need to manually:

    \n", " \n", "

    \n", " \n", - " \n", + " \n", "
    \n", + " \n", + " \n", + "